From 3229d4bcdc6519530d804aac5579e36be7191dc8 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 12 Jun 2023 11:31:54 -0700
Subject: [PATCH 01/58] Fixed separate notebook to work with new
 implementation.

---
 ecoli/experiments/metabolism_redux_sim.py   |   2 +-
 ecoli/processes/metabolism_redux.py         |  31 +-
 notebooks/fbagd/test_environments_new.ipynb | 385 +++++++++++---------
 3 files changed, 236 insertions(+), 182 deletions(-)

diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index a8fd7f704..4275b3bbe 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -123,7 +123,7 @@ def run_metabolism_composite():
 
 def run_ecoli_with_metabolism_redux(
         filename='fba_redux',
-        total_time=10,
+        total_time=50,
         divide=True,
         initial_state_file='wcecoli_t0',
         progress_bar=True,
diff --git a/ecoli/processes/metabolism_redux.py b/ecoli/processes/metabolism_redux.py
index 79c43f21e..0e208dc41 100644
--- a/ecoli/processes/metabolism_redux.py
+++ b/ecoli/processes/metabolism_redux.py
@@ -38,6 +38,7 @@
 BAD_RXNS = ["RXN-12440", "TRANS-RXN-121", "TRANS-RXN-300",
             "TRANS-RXN-8", "R15-RXN-MET/CPD-479//CPD-479/MET.25."]
 
+FREE_RXNS = ["TRANS-RXN-145", "TRANS-RXN0-545", "TRANS-RXN0-474"]
 
 class MetabolismRedux(Step):
     name = NAME
@@ -93,6 +94,7 @@ def __init__(self, parameters):
                 i = metabolites_idx[species]
                 self.stoichiometry[i, col_idx] = coefficient
 
+            # now adds an entry for every reaction, list can be empty
             enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]
             self.catalyzed_rxn_enzymes_idx.append(enzyme_idx)
 
@@ -132,9 +134,12 @@ def __init__(self, parameters):
 
         # Network flow initialization
         self.network_flow_model = NetworkFlowModel(
-            self.stoichiometry, self.metabolite_names,
-            self.reaction_names, self.homeostatic_metabolites,
-            self.kinetic_constraint_reactions)
+            stoich_arr=self.stoichiometry,
+            metabolites=self.metabolite_names,
+            reactions=self.reaction_names,
+            homeostatic_metabolites=self.homeostatic_metabolites,
+            kinetic_reactions=self.kinetic_constraint_reactions,
+            free_reactions=FREE_RXNS)
 
         # important bulk molecule names
         self.catalyst_ids = self.parameters['catalyst_ids']
@@ -198,7 +203,7 @@ def ports_schema(self):
                     'target_kinetic_fluxes': [],
                     'target_kinetic_bounds': [],
                     'reaction_catalyst_counts': [],
-                    'maintenance_target': []
+                    'maintenance_target': 0
                 }),
 
                 'enzyme_kinetics': listener_schema({
@@ -288,7 +293,7 @@ def next_update(self, timestep, states):
         total_maintenance = flux_gam + flux_ngam + flux_gtp
         maintenance_target = total_maintenance.asNumber()
 
-        # binary kinetic targets - sum up enzyme counts for each reaction
+        # binary kinetic targets - sum up enzyme counts for each reaction. -1 means missing catalyst.
         reaction_catalyst_counts = np.array([sum([current_catalyst_counts[enzyme_idx]
                                                   for enzyme_idx in enzymes_idx])
                                              if len(enzymes_idx) > 0 else -1
@@ -406,11 +411,12 @@ class NetworkFlowModel:
     """A network flow model for estimating fluxes in the metabolic network based on network structure. Flow is mainly
     driven by precursor demand (homeostatic objective) and availability of nutrients."""
     def __init__(self,
-        stoich_arr: Iterable[dict],
-        metabolites: Iterable[list],
-        reactions: Iterable[list],
-        homeostatic_metabolites: Iterable[str],
-        kinetic_reactions: Iterable[str]
+                 stoich_arr: Iterable[dict],
+                 metabolites: Iterable[list],
+                 reactions: Iterable[list],
+                 homeostatic_metabolites: Iterable[str],
+                 kinetic_reactions: Iterable[str],
+                 free_reactions: Iterable[str],
     ):
         self.S_orig = csr_matrix(stoich_arr.astype(np.int64))
         self.S_exch = None
@@ -425,6 +431,7 @@ def __init__(self,
         self.intermediates = list(set(self.mets) - set(homeostatic_metabolites))
         self.intermediates_idx = np.array([self.met_map[met] for met in self.intermediates])
         self.homeostatic_idx = np.array([self.met_map[met] for met in homeostatic_metabolites])
+        self.penalty_idx = np.array([self.rxns.index(rxn) for rxn in self.rxns if rxn not in free_reactions])
         # TODO (Cyrus) - use name provided
         self.maintenance_idx = self.rxn_map['maintenance_reaction']
 
@@ -439,7 +446,7 @@ def set_up_exchanges(self,
         all_exchanges.update(uptakes)
         
         # All exchanges can secrete but only uptakes go in both directions
-        self.S_exch = np.zeros((self.n_mets, len(exchanges) + len(uptakes)))
+        self.S_exch = np.zeros((self.n_mets, len(all_exchanges) + len(uptakes)))
         self.exchanges = []
         self.secretion_idx = []
         exch_idx = 0
@@ -488,7 +495,7 @@ def solve(self,
         loss = 0
         loss += cp.norm1(dm[self.homeostatic_idx] - homeostatic_targets)
         loss += objective_weights['secretion'] * (cp.sum(e[self.secretion_idx]))
-        loss += objective_weights['efficiency'] * (cp.sum(v))
+        loss += objective_weights['efficiency'] * (cp.sum(v[self.penalty_idx]))
         loss += objective_weights['kinetics'] * cp.norm1(v[self.kinetic_rxn_idx] - kinetic_targets)
 
         p = cp.Problem(
diff --git a/notebooks/fbagd/test_environments_new.ipynb b/notebooks/fbagd/test_environments_new.ipynb
index 3831055f5..3abf5230e 100644
--- a/notebooks/fbagd/test_environments_new.ipynb
+++ b/notebooks/fbagd/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 1,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:00.320848Z",
-     "start_time": "2023-06-09T22:18:00.312957Z"
+     "end_time": "2023-06-12T18:28:20.819104Z",
+     "start_time": "2023-06-12T18:28:19.838801Z"
     }
    },
    "outputs": [],
@@ -24,7 +24,9 @@
     "import dill\n",
     "import requests\n",
     "import xmltodict\n",
-    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
     "\n",
     "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
    ]
@@ -43,10 +45,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 2,
    "outputs": [],
    "source": [
-    "time = '10'\n",
+    "time = '50'\n",
     "date = '2023-06-09'\n",
     "experiment = 'fba-redux'\n",
     "entry = f'{experiment}_{time}_{date}'\n",
@@ -55,14 +57,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:01.110681Z",
-     "start_time": "2023-06-09T22:18:01.105158Z"
+     "end_time": "2023-06-12T18:28:21.346042Z",
+     "start_time": "2023-06-12T18:28:21.343559Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 3,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -75,14 +77,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:01.805666Z",
-     "start_time": "2023-06-09T22:18:01.439481Z"
+     "end_time": "2023-06-12T18:28:22.121207Z",
+     "start_time": "2023-06-12T18:28:21.560910Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 4,
    "outputs": [],
    "source": [
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
@@ -92,14 +94,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:02.171618Z",
-     "start_time": "2023-06-09T22:18:01.805882Z"
+     "end_time": "2023-06-12T18:28:22.820459Z",
+     "start_time": "2023-06-12T18:28:22.120377Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 5,
    "outputs": [],
    "source": [
     "metabolism = agent['ecoli-metabolism-redux']\n",
@@ -108,8 +110,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:02.230003Z",
-     "start_time": "2023-06-09T22:18:02.217867Z"
+     "end_time": "2023-06-12T18:28:22.820636Z",
+     "start_time": "2023-06-12T18:28:22.816178Z"
     }
    }
   },
@@ -124,13 +126,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 6,
    "outputs": [
     {
      "data": {
-      "text/plain": "{'ACET[p]': [0, 0, 0, 0, 0],\n 'AMMONIUM[c]': [816253, 824154, 859469, 865921, 881095],\n 'BETAINE[p]': [0, 0, 0, 0, 0],\n 'BUTANAL[c]': [0, 0, 0, 0, 0],\n 'CA+2[p]': [23, 162, 288, 396, 479],\n 'CARBON-DIOXIDE[p]': [-1978935, -2187468, -2252374, -2277523, -2299096],\n 'CARBON-MONOXIDE[p]': [-1, -5, -10, -14, -17],\n 'CH33ADO[c]': [0, 0, 0, 0, 0],\n 'CL-[p]': [1, 156, 277, 380, 461],\n 'CO+2[p]': [2, 6, 11, 17, 20],\n 'CPD-10774[p]': [0, 0, 0, 0, 0],\n 'CPD-108[p]': [-1, -5, -10, -14, -17],\n 'CPD-1772[c]': [0, 0, 0, 0, 0],\n 'CPD-239[p]': [0, 0, 0, 0, 0],\n 'CPD-534[p]': [0, 0, 0, 0, 0],\n 'CPD-560[p]': [-1, -186, -331, -454, -550],\n 'CPD-564[c]': [0, 0, 0, 0, 0],\n 'CPD0-2167[c]': [-2, -13, -26, -35, -41],\n 'D-ALANINE[p]': [0, 0, 0, 0, 0],\n 'D-LACTATE[p]': [0, 0, 0, 0, 0],\n 'ETOH[p]': [0, 0, 0, 0, 0],\n 'FE+2[p]': [2, 221, 389, 536, 649],\n 'FORMATE[p]': [0, 0, 0, 0, 0],\n 'GLC[p]': [767215, 841386, 906067, 928049, 955257],\n 'GLYCEROL[p]': [0, 0, 0, 0, 0],\n 'GLYCOLALDEHYDE[c]': [0, 0, 0, 0, 0],\n 'GLYCOLLATE[c]': [0, 0, 0, 0, 0],\n 'HYDROGEN-MOLECULE[c]': [0, 0, 0, 0, 0],\n 'HYPOXANTHINE[p]': [0, 0, 0, 0, 0],\n 'INDOLE[p]': [0, 0, 0, 0, 0],\n 'K+[p]': [-2, 5866, 10378, 14276, 17273],\n 'L-SELENOCYSTEINE[c]': [0, 2, 4, 6, 6],\n 'METOH[p]': [0, -1, -2, -3, -4],\n 'MG+2[p]': [1, 260, 462, 634, 768],\n 'MI-PENTAKISPHOSPHATE[p]': [0, 0, 0, 0, 0],\n 'MN+2[p]': [1, 27, 47, 65, 79],\n 'NA+[p]': [1, 6, 10, 15, 18],\n 'NI+2[p]': [1, 16, 27, 39, 46],\n 'OXYGEN-MOLECULE[p]': [2034608, 2149055, 2169775, 2168956, 2164999],\n 'PROTON[p]': [0, 0, 0, 0, 0],\n 'Pi[p]': [70436, 67160, 81767, 90661, 98134],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0, -1, -2, -3, -4],\n 'SUC[p]': [0, 0, 0, 0, 0],\n 'SULFATE[p]': [13270, 16725, 16326, 17173, 17738],\n 'THYMINE[p]': [0, 0, 0, 0, 0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0, 0, 0, 0, 0],\n 'URACIL[p]': [0, 0, 0, 0, 0],\n 'UREA[p]': [0, 0, 0, 0, 0],\n 'WATER[p]': [-3973467, -1583451, 231207, 1898797, 2405331],\n 'XANTHINE[p]': [0, 0, 0, 0, 0],\n 'ZN+2[p]': [1, 16, 29, 41, 49]}"
+      "text/plain": "{'ACET[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'AMMONIUM[c]': [816253,\n  824154,\n  859469,\n  865921,\n  881095,\n  880175,\n  899327,\n  826879,\n  877100,\n  821741,\n  883986,\n  866915,\n  879898,\n  920315,\n  906384,\n  941731,\n  923156,\n  950892,\n  935505,\n  942198,\n  960592,\n  894699,\n  933352,\n  907005,\n  937700],\n 'BETAINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'BUTANAL[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CA+2[p]': [23,\n  162,\n  288,\n  396,\n  479,\n  545,\n  598,\n  641,\n  661,\n  687,\n  696,\n  715,\n  727,\n  737,\n  755,\n  766,\n  781,\n  788,\n  799,\n  806,\n  813,\n  821,\n  814,\n  816,\n  813],\n 'CARBON-DIOXIDE[p]': [-1978935,\n  -2187468,\n  -2252374,\n  -2277523,\n  -2299096,\n  -2333612,\n  -2359294,\n  -2360849,\n  -2380093,\n  -2377430,\n  -2398409,\n  -2401014,\n  -2406075,\n  -2433275,\n  -2431991,\n  -2444870,\n  -2449074,\n  -2467528,\n  -2466263,\n  -2472228,\n  -2491605,\n  -2470017,\n  -2473566,\n  -2476245,\n  -2477271],\n 'CARBON-MONOXIDE[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CH33ADO[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CL-[p]': [1,\n  156,\n  277,\n  380,\n  461,\n  526,\n  575,\n  618,\n  637,\n  662,\n  670,\n  688,\n  700,\n  710,\n  727,\n  736,\n  752,\n  759,\n  770,\n  776,\n  782,\n  790,\n  783,\n  786,\n  782],\n 'CO+2[p]': [2,\n  6,\n  11,\n  17,\n  20,\n  23,\n  25,\n  27,\n  28,\n  30,\n  29,\n  30,\n  30,\n  30,\n  32,\n  32,\n  33,\n  33,\n  35,\n  34,\n  34,\n  34,\n  34,\n  34,\n  34],\n 'CPD-10774[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-108[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CPD-1772[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-239[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-534[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-560[p]': [-1,\n  -186,\n  -331,\n  -454,\n  -550,\n  -627,\n  -687,\n  -737,\n  -760,\n  -790,\n  -799,\n  -822,\n  -835,\n  -847,\n  -867,\n  -879,\n  -897,\n  -906,\n  -919,\n  -926,\n  -933,\n  -943,\n  -935,\n  -937,\n  -934],\n 'CPD-564[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD0-2167[c]': [-2,\n  -13,\n  -26,\n  -35,\n  -41,\n  -46,\n  -52,\n  -54,\n  -56,\n  -58,\n  -59,\n  -59,\n  -61,\n  -61,\n  -65,\n  -66,\n  -66,\n  -66,\n  -68,\n  -68,\n  -69,\n  -70,\n  -69,\n  -70,\n  -68],\n 'D-ALANINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'D-LACTATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ETOH[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'FE+2[p]': [2,\n  221,\n  389,\n  536,\n  649,\n  739,\n  812,\n  870,\n  896,\n  931,\n  943,\n  969,\n  985,\n  999,\n  1023,\n  1038,\n  1057,\n  1069,\n  1085,\n  1092,\n  1101,\n  1112,\n  1104,\n  1106,\n  1102],\n 'FORMATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLC[p]': [767215,\n  841386,\n  906067,\n  928049,\n  955257,\n  974986,\n  997159,\n  976754,\n  1006624,\n  983157,\n  1019049,\n  1016114,\n  1022593,\n  1049309,\n  1046045,\n  1066408,\n  1061093,\n  1079737,\n  1074696,\n  1081093,\n  1094849,\n  1060890,\n  1078840,\n  1067741,\n  1080357],\n 'GLYCEROL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLALDEHYDE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLLATE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYDROGEN-MOLECULE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYPOXANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'INDOLE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'K+[p]': [-2,\n  5866,\n  10378,\n  14276,\n  17273,\n  19705,\n  21590,\n  23176,\n  23881,\n  24802,\n  25119,\n  25819,\n  26232,\n  26639,\n  27248,\n  27618,\n  28171,\n  28463,\n  28890,\n  29100,\n  29319,\n  29621,\n  29376,\n  29462,\n  29340],\n 'L-SELENOCYSTEINE[c]': [0,\n  2,\n  4,\n  6,\n  6,\n  8,\n  8,\n  8,\n  9,\n  10,\n  9,\n  10,\n  10,\n  10,\n  10,\n  11,\n  10,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11],\n 'METOH[p]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'MG+2[p]': [1,\n  260,\n  462,\n  634,\n  768,\n  876,\n  959,\n  1030,\n  1062,\n  1102,\n  1116,\n  1148,\n  1166,\n  1184,\n  1211,\n  1227,\n  1252,\n  1265,\n  1284,\n  1294,\n  1303,\n  1316,\n  1306,\n  1309,\n  1304],\n 'MI-PENTAKISPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'MN+2[p]': [1,\n  27,\n  47,\n  65,\n  79,\n  91,\n  99,\n  106,\n  109,\n  114,\n  115,\n  119,\n  120,\n  121,\n  125,\n  127,\n  129,\n  131,\n  133,\n  133,\n  134,\n  135,\n  134,\n  134,\n  135],\n 'NA+[p]': [1,\n  6,\n  10,\n  15,\n  18,\n  20,\n  23,\n  24,\n  24,\n  26,\n  26,\n  27,\n  27,\n  27,\n  28,\n  29,\n  29,\n  29,\n  30,\n  30,\n  31,\n  30,\n  31,\n  30,\n  30],\n 'NI+2[p]': [1,\n  16,\n  27,\n  39,\n  46,\n  53,\n  58,\n  62,\n  64,\n  67,\n  68,\n  69,\n  71,\n  71,\n  73,\n  74,\n  75,\n  77,\n  78,\n  78,\n  79,\n  80,\n  80,\n  79,\n  79],\n 'OXYGEN-MOLECULE[p]': [2034608,\n  2149055,\n  2169775,\n  2168956,\n  2164999,\n  2172935,\n  2188886,\n  2133919,\n  2168263,\n  2146433,\n  2180739,\n  2166280,\n  2178972,\n  2212392,\n  2200685,\n  2224984,\n  2219673,\n  2239282,\n  2227522,\n  2231438,\n  2251859,\n  2209197,\n  2224650,\n  2216657,\n  2233830],\n 'PROTON[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'Pi[p]': [70436,\n  67160,\n  81767,\n  90661,\n  98134,\n  101496,\n  108099,\n  92842,\n  105196,\n  99882,\n  110315,\n  106786,\n  112263,\n  118994,\n  117492,\n  126029,\n  123905,\n  127916,\n  124975,\n  125877,\n  128400,\n  118919,\n  123993,\n  119370,\n  126080],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'SUC[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'SULFATE[p]': [13270,\n  16725,\n  16326,\n  17173,\n  17738,\n  18317,\n  18681,\n  18770,\n  19097,\n  18900,\n  19534,\n  19392,\n  19624,\n  20053,\n  19680,\n  20245,\n  19773,\n  20662,\n  20209,\n  20502,\n  20850,\n  20064,\n  20524,\n  20620,\n  20212],\n 'THYMINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'URACIL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UREA[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'WATER[p]': [-3973467,\n  -1583451,\n  231207,\n  1898797,\n  3156435,\n  4193380,\n  4946897,\n  5844085,\n  5995275,\n  6542395,\n  6496191,\n  6851775,\n  6990345,\n  7037080,\n  7342363,\n  7392897,\n  7680402,\n  7720591,\n  7953426,\n  8021574,\n  8052271,\n  8377203,\n  8167460,\n  8271067,\n  8134592],\n 'XANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ZN+2[p]': [1,\n  16,\n  29,\n  41,\n  49,\n  54,\n  60,\n  64,\n  66,\n  69,\n  70,\n  71,\n  72,\n  73,\n  76,\n  77,\n  78,\n  79,\n  80,\n  81,\n  82,\n  82,\n  82,\n  82,\n  82]}"
      },
-     "execution_count": 61,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,19 +143,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:03.125316Z",
-     "start_time": "2023-06-09T22:18:03.122246Z"
+     "end_time": "2023-06-12T18:28:22.871571Z",
+     "start_time": "2023-06-12T18:28:22.828492Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 7,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -161,7 +163,7 @@
    ],
    "source": [
     "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
-    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[4, :].abs().sort_values(ascending=False))\n",
+    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
     "sim_exchanges.head(10)\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
@@ -179,14 +181,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:03.856890Z",
-     "start_time": "2023-06-09T22:18:03.651989Z"
+     "end_time": "2023-06-12T18:28:23.206271Z",
+     "start_time": "2023-06-12T18:28:22.862546Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 8,
    "outputs": [
     {
      "data": {
@@ -220,21 +222,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:04.821552Z",
-     "start_time": "2023-06-09T22:18:04.538210Z"
+     "end_time": "2023-06-12T18:28:23.435269Z",
+     "start_time": "2023-06-12T18:28:23.205539Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 9,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                            4\nATPSYN-RXN (reverse)                                7963937.0\nmaintenance_reaction                                7600314.0\nNADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//N...  3656705.0\nTRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//...  2277523.0\nTRANS-RXN0-474                                      2168940.0\nRXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQ...  2168919.0\nTRANS-RXN-145                                       1898797.0\nGAPOXNPHOSPHN-RXN                                   1636060.0\nPHOSGLYPHOS-RXN (reverse)                           1636058.0\n3PGAREARR-RXN (reverse)                             1486502.0\n2PGADEHYDRAT-RXN                                    1486488.0\nPYRUVDEH-RXN                                        1150328.0\nPGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.               914733.0\nRXN0-7166                                            884407.0\nTRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/...   872057.0\nTRIOSEPISOMERIZATION-RXN (reverse)                   834966.0\nCITSYN-RXN                                           744564.0\nPHOSICITDEHASE-RXN                                   744358.0\nDEPHOSICITDEHASE-RXN                                 744358.0\nRXN-14047                                            744291.0",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ATPSYN-RXN (reverse)</th>\n      <td>7963937.0</td>\n    </tr>\n    <tr>\n      <th>maintenance_reaction</th>\n      <td>7600314.0</td>\n    </tr>\n    <tr>\n      <th>NADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//NAD/CPD-9956/PROTON.46.</th>\n      <td>3656705.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//CARBON-DIOXIDE.47. (reverse)</th>\n      <td>2277523.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-474</th>\n      <td>2168940.0</td>\n    </tr>\n    <tr>\n      <th>RXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQUINONE-8/PROTON/WATER.59.</th>\n      <td>2168919.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-145</th>\n      <td>1898797.0</td>\n    </tr>\n    <tr>\n      <th>GAPOXNPHOSPHN-RXN</th>\n      <td>1636060.0</td>\n    </tr>\n    <tr>\n      <th>PHOSGLYPHOS-RXN (reverse)</th>\n      <td>1636058.0</td>\n    </tr>\n    <tr>\n      <th>3PGAREARR-RXN (reverse)</th>\n      <td>1486502.0</td>\n    </tr>\n    <tr>\n      <th>2PGADEHYDRAT-RXN</th>\n      <td>1486488.0</td>\n    </tr>\n    <tr>\n      <th>PYRUVDEH-RXN</th>\n      <td>1150328.0</td>\n    </tr>\n    <tr>\n      <th>PGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.</th>\n      <td>914733.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-7166</th>\n      <td>884407.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/PTSH-MONOMER.46.</th>\n      <td>872057.0</td>\n    </tr>\n    <tr>\n      <th>TRIOSEPISOMERIZATION-RXN (reverse)</th>\n      <td>834966.0</td>\n    </tr>\n    <tr>\n      <th>CITSYN-RXN</th>\n      <td>744564.0</td>\n    </tr>\n    <tr>\n      <th>PHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>DEPHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>RXN-14047</th>\n      <td>744291.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 64,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -245,45 +247,45 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:17.386647Z",
-     "start_time": "2023-06-09T22:18:17.382112Z"
+     "end_time": "2023-06-12T18:28:23.439852Z",
+     "start_time": "2023-06-12T18:28:23.434458Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 10,
    "outputs": [
     {
      "data": {
-      "text/plain": "7504"
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-1,\n  33,\n  173,\n  6,\n  -1,\n  4104,\n  36,\n  4068,\n  130,\n  2,\n  284,\n  185,\n  20,\n  -1,\n  -1,\n  -1,\n  103,\n  4,\n  4,\n  -1,\n  658,\n  0,\n  443,\n  -1,\n  -1,\n  -1,\n  12,\n  0,\n  293,\n  183,\n  67,\n  24,\n  1,\n  1,\n  2,\n  24,\n  ...]]"
      },
-     "execution_count": 65,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "len(fba[\"reaction_catalyst_counts\"][3])"
+    "fba[\"reaction_catalyst_counts\"]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:17.866059Z",
-     "start_time": "2023-06-09T22:18:17.847111Z"
+     "end_time": "2023-06-12T18:28:23.582097Z",
+     "start_time": "2023-06-12T18:28:23.470361Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 11,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 66,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -296,8 +298,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:18.159949Z",
-     "start_time": "2023-06-09T22:18:18.153240Z"
+     "end_time": "2023-06-12T18:28:23.703445Z",
+     "start_time": "2023-06-12T18:28:23.571807Z"
     }
    }
   },
@@ -312,22 +314,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 12,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 83,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
-    "uptake_c = fba[\"constrained_molecules\"]\n",
-    "\n",
-    "uptake.extend(list(uptake_c.keys()))\n",
+    "uptake = metabolism.allowed_exchange_uptake\n",
     "uptake = set(uptake)\n",
     "\n",
     "# addition = set([\"CPD0-1074[c]\"])\n",
@@ -355,8 +354,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:11.464515Z",
-     "end_time": "2023-05-03T13:22:11.527729Z"
+     "end_time": "2023-06-12T18:28:23.715047Z",
+     "start_time": "2023-06-12T18:28:23.694161Z"
     }
    }
   },
@@ -371,52 +370,79 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 13,
    "outputs": [
     {
      "data": {
-      "text/plain": "2-3-DIHYDROXYBENZOATE[c]     73.0\n2-KETOGLUTARATE[c]          186.0\n2-PG[c]                      49.0\n2K-4CH3-PENTANOATE[c]        73.0\n4-AMINO-BUTYRATE[c]         160.0\n                            ...  \nMN+2[p]                      52.0\nNA+[p]                       52.0\nOXYGEN-MOLECULE[p]           51.0\nCA+2[p]                      52.0\nPi[p]                        52.0\nName: 4, Length: 171, dtype: float64"
+      "text/plain": "[[],\n 7130668,\n 7682916,\n 7655656,\n 7600314,\n 7529897,\n 7560265,\n 7566014,\n 7555646,\n 7555453,\n 7576138,\n 7568193,\n 7560014,\n 7555559,\n 7598335,\n 7584044,\n 7582321,\n 7600258,\n 7619933,\n 7613406,\n 7618277,\n 7667139,\n 7642944,\n 7617385,\n 7652652,\n 7642911]"
      },
-     "execution_count": 84,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"]).loc[4, :]\n",
-    "exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"]).loc[4, :]\n",
-    "maintenance = pd.DataFrame(fba[\"maintenance_target\"]).at[4, 'maintenance_reaction']\n",
-    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"]).loc[4, :]\n",
-    "homeostatic"
+    "fba[\"maintenance_target\"]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:11.468714Z",
-     "end_time": "2023-05-03T13:22:11.551006Z"
+     "end_time": "2023-06-12T18:28:25.117248Z",
+     "start_time": "2023-06-12T18:28:25.112691Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "7642911"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
+    "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]\n",
+    "maintenance"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-12T18:28:25.378637Z",
+     "start_time": "2023-06-12T18:28:25.364308Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
    "outputs": [],
    "source": [
-    "model = NetworkFlowModel(reactions=stoichiometric_matrix_dict,\n",
-    "                         homeostatic_metabolites=metabolism.homeostatic_objective,\n",
-    "                         free_reactions=FREE_RXNS)"
+    "model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:11.530620Z",
-     "end_time": "2023-05-03T13:22:15.402965Z"
+     "end_time": "2023-06-12T18:28:26.170340Z",
+     "start_time": "2023-06-12T18:28:25.813388Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 16,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -424,53 +450,80 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:15.397820Z",
-     "end_time": "2023-05-03T13:22:15.882028Z"
+     "end_time": "2023-06-12T18:28:26.364457Z",
+     "start_time": "2023-06-12T18:28:26.356622Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 17,
    "outputs": [],
    "source": [
-    "solution: FlowResult = model.solve(homeostatic_targets=dict(homeostatic),\n",
-    "                                   maintenance_target=maintenance,\n",
-    "                                   kinetic_targets=dict(kinetic),\n",
-    "                                   reaction_catalyst_counts=sim_catalysts.to_dict()[4],\n",
-    "                                   objective_weights={'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001},\n",
-    "                                   upper_flux_bound=100000000)"
+    "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "solution: FlowResult = model.solve(\n",
+    "            homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "            maintenance_target=maintenance,\n",
+    "            kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "            binary_kinetic_idx=[],\n",
+    "            objective_weights=objective_weights,\n",
+    "            upper_flux_bound=100000000)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-12T18:28:26.829891Z",
+     "start_time": "2023-06-12T18:28:26.613128Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.Series(solution.exchanges).abs().sort_values(ascending=False)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:15.937791Z",
-     "end_time": "2023-05-03T13:22:16.319469Z"
+     "end_time": "2023-06-12T18:28:27.036829Z",
+     "start_time": "2023-06-12T18:28:27.025861Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 19,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 2160x360 with 1 Axes>",
-      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "cur_exchanges = pd.Series(solution.exchanges).abs().sort_values(ascending=False)\n",
+    "cur_exchanges = pd.Series(solution.exchanges, index=metabolism.metabolite_names).abs().sort_values(ascending=False)\n",
+    "nonzero = len(cur_exchanges[cur_exchanges > 0])\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
     "plt.figure(figsize=(30, 5))\n",
-    "plt.plot(cur_exchanges.head(30), 'o')\n",
+    "plt.plot(cur_exchanges.head(nonzero), 'o')\n",
     "\n",
     "# shorten all xtick names to 10 characters\n",
-    "plt.xticks([i for i in range(30)], [i[:20] for i in cur_exchanges.index[:30]], rotation=45, ha= 'right')\n",
+    "plt.xticks([i for i in range(nonzero)], [i[:20] for i in cur_exchanges.index[:nonzero]], rotation=45, ha= 'right')\n",
     "# make xticks aligned to right left of bar\n",
     "plt.yscale('log')\n",
     "plt.ylabel('Flux counts')\n",
@@ -480,26 +533,26 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:16.323042Z",
-     "end_time": "2023-05-03T13:22:16.615742Z"
+     "end_time": "2023-06-12T18:28:27.892020Z",
+     "start_time": "2023-06-12T18:28:27.648769Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 20,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "cur_fluxes = pd.Series(solution.velocities).abs().sort_values(ascending=False)\n",
+    "cur_fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names).abs().sort_values(ascending=False)\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
     "plt.figure(figsize=(15, 5))\n",
@@ -516,8 +569,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:16.618573Z",
-     "end_time": "2023-05-03T13:22:16.788059Z"
+     "end_time": "2023-06-12T18:28:28.043350Z",
+     "start_time": "2023-06-12T18:28:27.891699Z"
     }
    }
   },
@@ -531,12 +584,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 21,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:16.787988Z",
-     "end_time": "2023-05-03T13:22:17.108193Z"
+     "end_time": "2023-06-12T18:28:29.559591Z",
+     "start_time": "2023-06-12T18:28:29.306677Z"
     }
    },
    "outputs": [
@@ -544,7 +597,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 90,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -557,45 +610,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "{'G6245', 'G7431', 'G7452'}"
-     },
-     "execution_count": 91,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "{\"G6245\", \"G7431\", \"G7452\"}"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:17.107510Z",
-     "end_time": "2023-05-03T13:22:17.110101Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 22,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:17.120431Z",
-     "end_time": "2023-05-03T13:22:17.122819Z"
+     "end_time": "2023-06-12T18:28:29.897028Z",
+     "start_time": "2023-06-12T18:28:29.886081Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, G7554, EG10468, EG10470, EG11801, EG...   \n1               {EG10814, EG10818, EG10815, EG10816}   \n2           {EG11572, EG11574, G6566, M007, EG11573}   \n3  {EG10640, EG10638, EG10639, EG10647, EG10648, ...   \n4                          {M011, G6206, M010, M012}   \n5  {EG11598, EG11666, EG10152, EG11597, EG11595, ...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, G7554, EG10468, EG10470, EG11801, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10814, EG10818, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11574, G6566, M007, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10640, EG10638, EG10639, EG10647, EG10648, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, G6206, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11598, EG11666, EG10152, EG11597, EG11595, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 92,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -665,12 +694,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 23,
    "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:17.123952Z",
-     "end_time": "2023-05-03T13:22:18.814660Z"
+     "end_time": "2023-06-12T18:28:31.931220Z",
+     "start_time": "2023-06-12T18:28:30.205247Z"
     }
    },
    "outputs": [],
@@ -701,21 +730,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 24,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:18.821816Z",
-     "end_time": "2023-05-03T13:22:18.824076Z"
+     "end_time": "2023-06-12T18:28:31.932898Z",
+     "start_time": "2023-06-12T18:28:31.931361Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, G7554, EG10468, EG10470, EG11801, EG...   \n1               {EG10814, EG10818, EG10815, EG10816}   \n2           {EG11572, EG11574, G6566, M007, EG11573}   \n3  {EG10640, EG10638, EG10639, EG10647, EG10648, ...   \n4                          {M011, G6206, M010, M012}   \n5  {EG11598, EG11666, EG10152, EG11597, EG11595, ...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {ABC-28-RXN, RIBOKIN-RXN}  \n2  {THIKIN-RXN, RXN0-7298, ABC-32-RXN, THIAZOLSYN...  \n3                  {RXN-15119, RXN0-3501, RXN0-7124}  \n4  {TRANS-RXN0-457, 1.13.11.16-RXN, TRANS-RXN-61,...  \n5  {RXN-8342, RXN0-262, RXN0-6254, RXN-8340, RXN-...  \n6                  {RXN-12093, RXN0-5507, RXN0-4022}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, G7554, EG10468, EG10470, EG11801, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10814, EG10818, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11574, G6566, M007, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, RXN0-7298, ABC-32-RXN, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10640, EG10638, EG10639, EG10647, EG10648, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN-15119, RXN0-3501, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, G6206, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN0-457, 1.13.11.16-RXN, TRANS-RXN-61,...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11598, EG11666, EG10152, EG11597, EG11595, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-8342, RXN0-262, RXN0-6254, RXN-8340, RXN-...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN-12093, RXN0-5507, RXN0-4022}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-5256, RXN0-7399, RXN-16420}  \n1                          {ABC-28-RXN, RIBOKIN-RXN}  \n2  {ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...  \n5  {RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...  \n6                  {RXN-12093, RXN0-4022, RXN0-5507}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-5256, RXN0-7399, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN-12093, RXN0-4022, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 94,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -734,12 +763,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 28,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:18.830617Z",
-     "end_time": "2023-05-03T13:22:54.413756Z"
+     "end_time": "2023-06-12T18:31:07.769416Z",
+     "start_time": "2023-06-12T18:31:03.901668Z"
     }
    },
    "outputs": [
@@ -763,16 +792,14 @@
     "for i in range(len(condition_df)):\n",
     "    condition_idx = i\n",
     "\n",
-    "    uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
-    "    uptake_c = fba[\"constrained_molecules\"]\n",
+    "    uptake = metabolism.allowed_exchange_uptake\n",
     "\n",
-    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"]).loc[4, :])\n",
+    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
     "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
     "    if new_demand:\n",
     "        for met in new_demand:\n",
     "            homeostatic[met] = 100\n",
     "\n",
-    "    uptake.extend(list(uptake_c.keys()))\n",
     "    uptake = set(uptake)\n",
     "\n",
     "    addition = condition_df.at[condition_idx, \"Add\"]\n",
@@ -781,22 +808,30 @@
     "    uptake = uptake | addition\n",
     "    uptake = uptake - removals\n",
     "\n",
-    "    model = NetworkFlowModel(reactions=stoichiometric_matrix_dict,\n",
-    "                         homeostatic_metabolites=homeostatic,\n",
-    "                         free_reactions=FREE_RXNS)\n",
+    "    model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)\n",
     "\n",
     "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
     "\n",
-    "    solution: FlowResult = model.solve(homeostatic_targets=homeostatic,\n",
-    "                                   maintenance_target=maintenance,\n",
-    "                                   kinetic_targets=dict(kinetic),\n",
-    "                                   reaction_catalyst_counts=sim_catalysts.to_dict()[4],\n",
-    "                                   objective_weights={'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001},\n",
-    "                                   upper_flux_bound=100000000)\n",
+    "\n",
+    "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "    solution: FlowResult = model.solve(\n",
+    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "                maintenance_target=maintenance,\n",
+    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "                binary_kinetic_idx=[],\n",
+    "                objective_weights=objective_weights,\n",
+    "                upper_flux_bound=100000000)\n",
     "\n",
     "    # Check flux\n",
-    "    fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]], stoichiometric_matrix_dict[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
-    "    fluxes.columns = [\"Flux\", \"Stoichiometry\"]\n",
+    "    fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names)\n",
+    "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
+    "    fluxes.columns = [\"Flux\"]\n",
     "\n",
     "    relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
     "    relevant_rxn_idx = []\n",
@@ -804,9 +839,9 @@
     "    for rxn in relevant_rxns:\n",
     "        relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
     "\n",
-    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx, :]\n",
+    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
     "    \n",
-    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes[\"Flux\"] != 0].loc[:, \"Flux\"]\n",
+    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
     "    \n",
     "    for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
     "        results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
@@ -818,21 +853,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 29,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:38:34.731609Z",
-     "end_time": "2023-05-03T13:38:34.737887Z"
+     "end_time": "2023-06-12T18:31:09.899813Z",
+     "start_time": "2023-06-12T18:31:09.888763Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n\n           Flux  log(Flux)  \n0  2.367649e+07   7.374317  \n0  2.029540e+06   6.307398  \n0  1.264890e+06   6.102053  \n0  7.646495e+05   5.883462  \n0  4.900000e+01   1.690196  \n0  4.900000e+01   1.690196  \n0  1.405236e+06   6.147749  \n0  2.350110e+05   5.371088  \n0  1.284798e+06   6.108835  \n0  1.284798e+06   6.108835  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.367649e+07</td>\n      <td>7.374317</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>2.029540e+06</td>\n      <td>6.307398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>1.264890e+06</td>\n      <td>6.102053</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>7.646495e+05</td>\n      <td>5.883462</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>4.900000e+01</td>\n      <td>1.690196</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>4.900000e+01</td>\n      <td>1.690196</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.405236e+06</td>\n      <td>6.147749</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>2.350110e+05</td>\n      <td>5.371088</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>1.284798e+06</td>\n      <td>6.108835</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>1.284798e+06</td>\n      <td>6.108835</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  1.352359e+06   6.131092  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 108,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -845,12 +880,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 30,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
-      "image/png": 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0a9aMEiVKUKlSJZOlsf5q/0k/8fHxJvW+/fZbypYtS968eU3Knz8nNjaWS5cu4e/vz/nz52ndunWa+oqLi8NgMLz2NTzvlctkxcTEcPfuXePrw4cP07hx42RrggEkJCQQFRXF5cuXMyQ4EREREREREREREXm1gwcPUqFCBZMyMzMzypQpQ1BQEA0aNDA51rp1a7755hv27t3LgAEDki239LwSJUowaNAgAgMD2bFjB40bN05W59GjRyabnSexsbEBEmd2PD/zIzW1a9fm8ePH5MyZ02SmSlLS4caNG0ycOJH4+HiWL1+Ol5cXn3/+ObVq1XppDI8ePTK+Llas2CvjeBVfX1++++47Ro8ezZdffomlZcbvSPHVV1/x1VdfmZRZWlri5OTE559/bkwgJYmMjKR+/frGhFTbtm2ZMGEC//d//0fJkiXT3f/IkSNT3Cg+b9687N+/3/g6KiqKunXrmtS5ePFiss8jQNGiRZkwYYJxKbUkKX1+kzy/7NlfkaZkSOvWrXn48CGQ+AXy9/fH398/xfoGg8FkGpKIiIiIiIiIiIiIvFnOzs6MHz8egOvXrxMUFERcXByzZ8+mePHiyepfv36dH374AYDNmzfTp0+fFGeGJOnZsydbt25l4sSJ1KhRI9nxVz29b2ZmRkJCAgkJCSZlz8/iSEhIIDg4mNjYWBYsWEC3bt1YvXo1pUuXxt3dnYIFC1KnTh3jElq1a9emVatWzJ07l1q1ar00hqSNvdPiVXEC2NvbM2HCBAYNGsTnn39ustF5RmnYsCH9+/cH4MKFC8ycOZOCBQsSHBxMvnz5TOqeOnWKM2fO0Lt3bx48eAAkzmCxsrJi9erVqW5O/jLe3t4pJiGS3n9IfK/2799PaGioSZ2CBQsSEhICJO7REhYWxqVLl5g2bRouLi7J2nz+8/uijEheQRqSIblz52bGjBn89NNPGAwGQkNDady4cYprs5mbm5M7d24tkyUiIiIiIiIiIiLyN7KxscHJyQkAJycnKleuTMuWLenZsyeRkZEmy1clJCQwfPhwzM3NmTVrFj4+Pvj5+eHn55dq+5aWlvj7+9O+fXv8/f0ZNmyYyXFbW1uio6OTnZc0I8PW1pbRo0ezbt064zEHBwd2795tfG1ubm7cd6J69eq4u7uzfPlyJk+eTIECBShQoIBJ21ZWVtSuXZu1a9ca+0hp1aLo6OgUZ4yk5lVxJmncuDFNmzYlJCSERo0apbn9tMqVK5fJmJYtW5Z27drRt29fIiIiTDZvj4yMBOCTTz5J1s6GDRsYPnx4mmbmPK9QoULG/lPz008/kZCQkGzzc2tra5Nzq1atSrt27ejTpw9r166laNGiJvWf//y+KWmau+Pm5oabmxsAV69epVOnTlSqVOmNBiYiIiIiIiIiIiIirydv3ryMHz+eIUOG4OfnR2BgoPFYWFgYhw8fJjQ0lEaNGnHkyBFWrVpFgwYNXnpTv2zZsvTp04ewsDCqVq1qcqx48eLcu3eP+/fvY29vbyy/cOEChQoVwtramkGDBtG1a1fjsaSb+VFRUVhbW/Pee+8Zj9nZ2VG4cGFu3LgBJG6Ofv/+fZo3b27S79OnT8mVKxeQOIPg+++/x2AwmGzQfeHChXTNLkgtzpSMHz+egwcPMmbMmAybwZCakiVL4u3tTUBAACEhIfj4+AAQGxvLpk2baNq0KV26dDE557fffmPKlCl88803tGnTJsNjioqKwtXVNdnMmRdly5aNadOm0bFjR3x9ffniiy/+9k3U072B+tSpU5UIEREREREREREREfmHa9q0KXXr1mXTpk0cPnwYgKNHjxIWFkbHjh2NiY+RI0dStGhRxo4dy82bN1/aZv/+/SlVqhTTp083Ka9VqxYA27ZtM5bFxsayd+9e47GkmQZJP0mrD33xxReMHz+eZ8+eGc+9du0aZ8+epXTp0gDs2bOHUaNGcfv2bWOdx48fs3fvXuOyXXXq1OHBgwccOHDAWOfOnTscPXrUGENapBZnSvLkycOYMWM4ceIE27dvT3Mfr6t79+6ULl2aRYsW8ccffwCwa9cu7t27R+fOnalZs6bJT5cuXciXL99f2kj9ZaKiotK8n4ezszMffvghx48fZ/369W8knpd5rV1doqKi+Prrr7l161ayneMhcQ21pUuX/uXgRERERERERERERN60fLlK8KF7wFvt/00ZPXo0LVu2ZMqUKSxdupThw4fj6OiIr6+vsU62bNkICAigS5cu+Pr6Eh4enupT+9bW1vj7+9OpUyeTcgcHB9q0acOUKVN4/PgxRYoUYfHixTx48IDevXu/NEYvLy88PDzw9vamS5cu3Lt3j9DQUOzt7fH09AQSkwDr16+nT58+DBgwAIPBQHh4ODExMQwaNAhIXFqrRo0a+Pj4MHz4cHLmzElwcDB2dnbJNuzOSC1btmTLli3s2bPHZFbMm2Bpacno0aPx9PTE39+fBQsWEBkZSb58+VLcy8XCwoIWLVqwePFizpw589LEzosuXbpk3FfmRXny5MHGxoZTp04l2zz9ZYYOHco333xDYGAgjRs3Ni5f9ujRo1T7MjMzy5AJGulOhqxcuZIpU6YAiRf8silCIiIiIiIiIiIiIv90Wa1tKVwgc66GU7x4cTw8PFi0aBFNmjTh8ePHrF69mmzZspnUq1SpEl5eXoSGhrJixQo8PDxSbdPZ2Znu3buzaNEik/JJkyaRI0cOFixYwOPHj6lQoQKLFy+mSJEiL43RxcWFJUuWMGfOHIYMGYKlpSV16tThk08+IU+ePAAULlyYlStXEhgYyJgxY4iNjaV69eqsXLmSQoUKGdsKCQlh2rRpBAQEkJCQQNWqVZkzZ84bT1JMnDiRo0ePvtE+kri6utKkSRO2bdvG+vXr2b9/P127dk11k/jWrVuzePFiIiIiUt2kPCXBwcEEBweneKx9+/bUrFmTUqVKkT9//jS3mStXLoYMGcKkSZMIDQ1l5MiRQOLeIx07dkzxHAsLC06fPp3mPlJjZjAYDOk5oUmTJmTPnp3w8HDy5s37lwMQEZHMw2AwcOvWo7cdhrwB9vaJ/0m+fz/mLUcib4rGOPPTGGduGt/MT2Oc+WmMMzeN798nXz67tx2CiPxDpXvPkD///JOOHTsqESIiIiIiIiIiIiIiIv8K6U6GODo6cuvWrTcRi4iIiIiIiIiIiIiISIZLdzKkb9++LF++nN9///1NxCMiIiIiIiIiIiIiIpKh0r2B+rFjx7CxsaFVq1YUK1aM3LlzY2ZmZlLHzMyMpUuXZliQIiIiIiIiIiIiIiIiryvdyZBvv/0WgIIFCxITE8OVK1cyPCgREREREREREREREZGMku5kyO7du99EHCIiIiIiIiIiIiIiIm9EuvcMed6NGzf48ccfefjwIbGxsSQkJGRUXCIiIiIiIiIiIiIiIhnitZIhx44do23btri5udGpUyd+/vlnDh8+TP369dmyZUtGxygiIiIiIiIiIiIiIvLa0p0MOXnyJD169CA6Opru3bsby+3t7bG0tGT48OHs27cvQ4MUERERERERERERERF5XelOhgQFBVGoUCE2bNhA3759MRgMADg5ObFx40ZKlCjBZ599luGBioiIiIiIiIiIiIiIvI50b6B+4sQJBgwYQNasWYmJiTE5Zmtry4cffsjcuXMzLEARERERERERERGRN+lx7CMu3j/31vp3tC9Odmvb1z7fw8ODw4cPm5SZmZmRPXt2ihYtSvfu3WnVqhW//PILHTp0oF69eoSFhSVrx9fXl23btrF+/XocHR1xd3fnwYMHbN68mQIFCpjUvXbtGm5ubkydOpW2bdsCEBcXR0hICOvWrePevXtUqFCBUaNG4ezs/NL43d3duXLlSorHatSowfLly5OVe3t7Y2dnh5+fn0n5zZs3CQoKYv/+/dy7d49ixYrRp08fmjVrlmL7cXFxdOrUCVtbW5YsWfLSOA8dOsRHH31EkyZNUrwHHhYWRlBQEGfOnAHg8uXLNGzYkICAAFq1apXiOL2oTZs2TJs2Lc1jmpK2bdty6tQpFi5cSN26dY3lZcqUeWnfgHE8X1X3448/pm/fvsbXN27coEGDBuzfv5+cOXMC8Oeff7J06VL27NnDtWvXsLe3x9nZmb59+5p8JoKDgwkJCTFp39LSkpw5c/Lee+/x8ccf8+67774y9ldJdzIEwNraOtVjT58+1UbqIiIiIiIiIiIi8q9x8f45pn834q31P7JOAGXzvTxh8CpOTk6MHTvW+Do+Pp5r166xZMkSRowYQc6cOXFzc8Pb25vAwEDWrFlDhw4djPXXr19PZGQkM2fOxNHR0Vj+8OFDJkyYwPz5818Zg5+fH+vWrWP48OG8++67LF68GE9PTzZs2EDhwoVTPS8kJITY2FiTsm3btrFo0SI6d+5sUm4wGJgxYwbbtm2jffv2JsdiY2Pp3bs3Dx8+xNvbm/z587Nt2zaGDh1KfHw8LVq0SNb3ggUL+Omnn3B1dX3l9T0f2/bt2/nf//6X5nMAJkyYwKNHj4yvBw0ahJOTE15eXsay3LlzG39P65g+78yZM5w6dYrSpUsTERFhkgyJiIgw/n7z5k0GDRrE4MGDqVOnjrH8+bHv2LGjMdH1onfeecfk9bfffouTk5MxEXLkyBEGDRpE3rx58fT0pGjRoty9e5eVK1fSuXNn5syZQ+PGjY3nW1hY8MUXXxhfx8XFcf78eQIDA/nhhx/YvHkzWbNmTTGWtEp3MqRSpUps2rSJjz76KNmxx48fs2bNGpycnP5SUCIiIiIiIiIiIiKSdra2tlSuXDlZeb169XB1dSUyMhI3Nzd69+5NVFQU/v7+1KxZE0dHR86ePcvEiRNp27YtH3zwgcn5dnZ27Nmzh40bN9KyZctU+798+TIRERGMGzfOmMCoU6cOTZo0YeHChUycODHVc8uXL2/y+urVq6xZs4auXbvSvHlzY/nZs2fx8/Pj6NGjKd4Yj4qK4tdff2XNmjXGmQe1a9fm6tWrhIeHJ0uG/Prrr3z22Wfky5cv1dhSYmdnx8SJE6lRo4bx5n9alCxZ0uS1tbU1uXPnTnHcIO1j+rzIyEhKlizJRx99xKeffsqNGzfInz8/gElbly9fBqBw4cKp9l+wYMFUj70oKirKmFS5d+8ew4YNo0SJEixatMhkrBo3boynpydjxozB1dUVW9v/PyPqxb6qVatGlixZ+OSTT9i1axfvv/9+mmJJTbr3DPH29ub06dN069aN9evXY2ZmxsmTJ1m2bBmtWrXi8uXL9OvX7y8FJSIiIiIiIiIiIiJ/XZYsWbC2tsbMzAwAc3Nzpk+fjrm5OSNGjODp06f4+PhQoEABxo0bl+z8xo0b4+Ligp+fH7dv3061n4MHDxIfH0+TJk2MZdbW1tSvX5+oqKh0xTxt2jSyZs2Kj4+PSfmnn37Ko0ePiIiIIE+ePMnOs7GxoWPHjske1i9evDgXL140KYuNjWXEiBF4eHhQrFixdMXn4+PD/fv38ff3T9d5GeXFMU3y7NkzNm7cSL169WjSpAkWFhasXbv2jccTHx/PgQMHqFevHpA4y+jmzZuMGTMmWdLKysqKkSNH0qFDBx4+fPjKtitUqACQ6jJq6ZHuZIiLiwufffYZ165dY/r06RgMBmbPno2/vz9Pnjxh1qxZvPfee385MBERERERERERERFJG4PBQFxcnPHn6dOnnD17Fl9fX6Kjo032l3BwcGDcuHGcOHGCTp06ce7cOebMmUP27NmTtWtubo6fnx8xMTFMmjQp1f7PnTuHvb29yTJPAEWKFOHq1as8efIkTdfxww8/sG3bNnx8fExmDQCMGzeOL7/8knLlyqV4rqurK5MmTTJJEjx79ox9+/ZRqlQpk7qhoaHExcXh7e2dprieV7p0aby8vNiwYQP79u1L9/lplZ4xBdi3bx937tyhVatW5MiRg4YNG7J27drX3tYiISHBpP/nf5534sQJLC0tjUmob7/9lnz58hkTGS9ydnbmk08+SbbUVkrOnz8PmC7f9bpea8+Q2rVrs2PHDk6dOsWlS5dISEjAwcGBihUrYmn5Wk2KiIiIiIiIiIiIyGs6ePBgspvPZmZmlClThqCgIBo0aGByrHXr1nzzzTfs3buXAQMGULZs2VTbLlGiBIMGDSIwMJAdO3aY7PWQ5NGjR8mSF5A4WwMgOjo6TXs+LFy4EAcHhxSX5CpduvQrz3/RjBkz+OOPPwgNDTWWnTx5kkWLFrFy5cqX7o/9Mv369WP79u2MHz+ezZs3p3jtf1V6x/Srr76ifPnyxrFs27YtW7Zs4dtvv022nFZaBAcHExwcnOKxkydPkiVLFiAx+VG7dm1jEuratWuvteH580mW6Ohofv75Z6ZPn46Dg8Nrxf+i185cmJmZUbFiRSpWrPiXgxARERERERERERGR1+fs7Mz48eMBuH79OkFBQcTFxTF79myKFy+erP7169f54YcfANi8eTN9+vRJcWZIkp49e7J161bjXhkvMhgML43PzMyMhIQEk1kKZmZmWFhYGF9fu3aNXbt24evr+5cfuk/aaH3p0qX06tWLRo0aAfD06VNGjRpF9+7djfuKvOjFOIFk8VhZWeHv70/Hjh0JCAh46ayZ15WeMb116xZRUVF4e3vz4MEDIHED9rx587J69erXSiZ07tyZdu3apXjs+SRSVFQUPXr0ML62sLAgPj4+XX3Fx8enOJOkYsWKTJ48mWzZsqWrvZSk+xMVGxtLeHg4+/fv5+bNmylOsTEzM2Pnzp1/OTgREREREREREREReTUbGxvjMkVOTk5UrlyZli1b0rNnTyIjI02Wr0pISGD48OGYm5sza9YsfHx88PPzw8/PL9X2LS0t8ff3p3379vj7+zNs2DCT47a2tkRHRyc779GjR8bjo0ePZt26dcZjDg4O7N692/h6+/btmJubJ9voPL1iY2MZNWoUmzdvplevXowYMcJ4bM6cOSQkJDBgwADjTASDwWBcksrCwoLQ0FBCQkJM2jxz5kyyfpycnPD09GTRokU0a9bsL8WckvSM6caNG4mLi2PWrFnMmjXLpJ19+/Zx/fp1ChQokK7+8+fPn2z/lRfdvHmTM2fOGDdPB3j33Xc5efJkqucYDAZu3LhhEo+FhQURERHG19bW1uTPn59cuXKlK+aXSXcyxM/Pj4iICAoWLIiDgwPm5unedkRERERERERERERE3qC8efMyfvx4hgwZgp+fH4GBgcZjYWFhHD58mNDQUBo1asSRI0dYtWoVDRo0MM6gSEnZsmXp06cPYWFhVK1a1eRY8eLFuXfvHvfv38fe3t5YfuHCBQoVKoS1tTWDBg2ia9euxmMvLlG1d+9eatSokWzfkfR49OgRXl5eHD9+nNGjR9O9e3eT49u2bePKlSu4uLgkO7dChQosW7aMDz/8kPr166epvyFDhrBr1y7GjRtH8+bNXzvutHjZmEZGRlKtWrVke6Dcvn2bYcOGsWbNGgYNGpThMX377beUL1/eZMzq1q3Lnj17+Omnn1JMphw9epRu3brh7+9vMvPkVYmXvyrdyZAdO3bQokULZs6c+SbiEREREREREREREZEM0LRpU+rWrcumTZvo2LEjNWrU4OjRo4SFhdGxY0dj4mPkyJF8//33jB07lkqVKpEvX75U2+zfvz87duxg+vTpJuW1atUCEpMNH374IZA4Q2Pv3r3UrVsXgEKFClGoUKEU2zUYDJw8eRJPT8/Xvt74+Hj69+/Pjz/+yOzZs2natGmyOvPmzSM2NtakbMKECVhYWDB+/HiKFSuGra1tmmdRZMmSBT8/P7p168bKlStfO/a0SmlMT548ye+//46/vz81a9ZMds7nn3/OmjVr6N+/v8myZBkhKiqKevXqmZS1bNmS0NBQpk+fzueff27cWwQSN7SfPXs22bNnf2ni7U1IdzIkLi6O6tWrv4lYREQkE7C3/+trOMo/j6Vl4n+WNL6Zl8Y489MYZ24a38xPY5z5ZdQYx8UlEB39NCNCEpFMYvTo0bRs2ZIpU6awdOlShg8fjqOjI76+vsY62bJlIyAggC5duuDr60t4eLhxM+wXWVtb4+/vT6dOnUzKHRwcaNOmDVOmTOHx48cUKVKExYsX8+DBA3r37v3KOK9evcrDhw8pUaLEa1/r6tWrOXz4MB07dqRgwYLGPVEgcWuHSpUqUaZMmWTn2djYYGFh8dozE6pVq0bXrl1ZsWLF64aeLs+P6bp164iMjMTa2pr//e9/KdZv3bo1U6ZMYd++fbi7u6e5n2vXrpm8h8+zs7OjaNGiHDhwIFkCy87OjqlTpzJ48GA6dOhAt27dKFKkCFevXmX58uX8+uuvhISEmMwg+jukOxnStGlTduzYQceOHd9EPCIi8i93/e6ptx2CiIiIiMh/Ur5cJbC0zPq2wxD5V3K0L87IOgFvtf83pXjx4nh4eLBo0SKaNGnC48ePWb16dbINqStVqoSXlxehoaGsWLECDw+PVNt0dname/fuLFq0yKR80qRJ5MiRgwULFvD48WMqVKjA4sWLKVKkyCvjvH37NsBfukG+bds2ACIiIkz2n4DEPSlOnz792m2/io+PD3v27OHKlStvrI8kz4/pqlWr2Lx5M3Xr1sXOzi7F+u+//z7Tp08nIiIiXcmQlN7HJK6urgwePBgzM7MUN6J3c3Pjyy+/ZPHixcyfP5+bN2+SO3duKlWqxOTJk1PcLP1NMzMYDIb0nBAdHU3fvn2Jj4+nUaNG5MmTJ8UsYevWrTMqRhER+ZdISIhndsSbXR9TRERERERS9qF7AAVyVeD+/Zi3HYq8IGnGj8bmzcuXL+WbwSIi6Z4ZcuzYMU6fPk1MTEyqU2TMzMyUDBERERERERERERERkX+EdM8MadGiBXfv3mXgwIEUK1Ys1Q1XatSokSEBiojIv4fBYODps+i3HYaIiIiI/EM8exbDvUdX33YY/xn5cpXAnKyaffAPpJkhfx/NDBGR1KR7ZsjFixf55JNP6NKly5uIR0RE/uX+uH/ubYcgIiIiIv8AjvbFscmWlyxWud52KP8KSRuox8XF/6V24uISMiIcERGRTCfdyZBixYrx8OHDNxGLiIj8yyUYEpj+3Yi3HYaIiIiI/AOMrBNAcfvyehI+jTRzQERE5M0yT+8J3t7eLF26lH379pGQoKcNRERERERERERERETkny3de4b069ePU6dOcevWLbJkyULOnDmT7RtiZmbGzp07MzRQERH55zMYDJy59dPbDkNERERE/gEc7Ytjqf0r0kwzQzI3je/fR3uGiEhq0r1MVnR0NEWLFqVo0aJvIBwREfm3K25f/m2HIG9ARq1hLf9cGuPMT2OcuWl8M79/6xhr/woRERH5p0j3zBAREZHUGAwGbt169LbDkDdAT7JlfhrjzE9jnLlpfDM/jXHmpzHO3DS+fx/NDBGR1KR7zxAReT0ZmXdUDjNjvO338W33n5p/alwiIiIiIiIiIiKv67WSIatWraJLly7873//o2HDhsl+GjVqlNFxirxVHh4eVKhQgV9++SXF4+XLlyc4ONj4ukyZMoSFhQEQGxvLtGnT+PrrrzMklhMnTuDl5ZUhbf1beHh44OnpmaFtnj17ls6dO5uUPT9ub1JGfyYyysOHDxk1ahRHjx5926GIiIiIiIiIiIhkqHTvGRISEkJISAj29vYUK1YMKyurNxGXyD9OXFwco0ePZs2aNVhavvyrExERwTvvvAPAnTt3WLx4MVOnTs2QONauXcv//d//ZUhb/2Xbtm3jxIkTJmXPj9ublNGfiYxy5swZ1q1bR5s2bd52KCIiIiIiIiJ/q0fPYjh3/9pb67+4fUFsrbK9tf5F/gvSnQxZu3YtNWrUYOHChVhbW7+JmET+kezs7Dh9+jTh4eH079//pXUrV6789wQlGUrjJiIiIiIiIvLfdO7+NUZ9t+it9T+tTk+c8xbLkLZ++eUX2rdvz65duyhYsGCazpk+fTq//PILS5YsMSl/+PAhs2fPZseOHTx69AhnZ2c++eQTKlasmKZ24+Li6Nq1K25ubgwYMCDZ8ejoaFq2bIm3tzetWrVKU5sAe/fuZeDAgZw6dSrZsSNHjjBr1ixOnz6NnZ0dTZo0wcfHBxsbm1Tbu3z5Mg0bNkxWbmVlhb29PS4uLnz88ccUK5Y4RgEBAXz++eeEhITQuHFjk3Nu3bpF69atKV++PJ999hmHDx/mo48+okmTJsydOzdZH2FhYQQFBXHmzJk0X7+8nnQvk3Xnzh0++OADJULkP6dixYq8//77hIWFcfbs2ZfWTVpu6fLly7i5uQHg6+uLu7s7AKNGjaJnz56MGzcOFxcXWrVqhcFg4M6dO0yYMIEGDRpQsWJFatSoweDBg7ly5YrxvLVr13LlyhXKlClDZGQkAE+ePGH69OnUq1cPJycnWrduza5du155Tb/88gsDBw7kvffeo0KFCtSrVw8/Pz+ePn1qrLN//34+/PBDXFxcqF69OgMGDHjp9V++fJkyZcqwZMkSmjRpQuXKlY3LQZ05c4Y+ffrg4uJC1apVGTJkCNeumT51cfXqVQYNGkTVqlWpXbs2ixcvTrH9DRs2mJSPGjXK5I+PwWBgyZIlNG3aFGdnZ5o0acLy5csBCA4OJigoyDhWSUucvbhM1rVr1xgxYgR169alUqVKdO3alcOHDyeLZfv27QwaNAgXFxdq1KjBuHHjiIlJeVO81D4TAKtXr6Zt27ZUrlwZZ2dn2rRpw7Zt24zHIyMjcXJyYvXq1dSqVYuaNWty8eJFDAYDn332GQ0aNMDZ2ZmePXuyfv16ypQpw+XLl43nHzlyhK5du1KpUiVq1qzJ2LFjefDgAQCHDh2ia9euAHz00Ud4eHikGL+IiIiIiIiI/HOdPXsWLy8v4uLi0nzO8uXLWbQo5UTQ0KFD2bZtG8OGDSM4OBgrKys8PDy4dOnSK9uNjY1l5MiR/PDDDykef/ToEf379ze5d5EWx48f5+OPP05xz9MffviBHj16kC9fPubNm8fAgQPZuHEjY8eOTVPbgwcPJiIiwvgTHh5Ojx49OHjwID179jTeMxs6dChlypRh3Lhx3Lx503h+QkICw4cPx8zMjGnTpmFmZmY8tm3bNrZv356ua5WMle6ZIaVKleL8+fNvIhaRf7yxY8dy4MABRo8ezapVqzA3f3k+MX/+/MybN4/+/fvTv39//ve//xmPHTp0iLp16xIWFsaTJ08A6N27N9HR0QwfPpy8efNy5swZ5syZw6effkp4eDgDBgzg/v37/PTTT4SEhODo6IjBYGDQoEGcOHECb29vihUrxjfffMPAgQMJCQlJdQ+f69ev07VrV6pUqcL06dOxsrIiKiqKxYsXkz9/fvr06cOlS5cYMGAA7dq1w8fHh/v37zN79my8vLzYsWOHyT/oLwoJCWHMmDFkzZqV6tWrc/78eTp37kzJkiWZMWMGsbGxBAcH07VrV9avX4+dnR2PHz+mW7duWFpaMnnyZMzNzZk7dy4XL16kWrVq6RqrgIAAli5dSu/evXnvvfc4fvw4fn5+mJub06FDB27evGn8w5bSUxI3btygffv22NjYMGLECGxsbFi5ciU9evRg4cKFuLq6GuuOHTuWdu3aERYWxsmTJ5k9ezZ58uRh6NChydpN7TOxbNkypk2bhre3Ny4uLty/f5/w8HA+/vhjKleuTIECBQB49uwZy5YtY+rUqdy9exdHR0fmzp3L/Pnz8fLyokqVKnzzzTeMGzfOpN8jR47Qo0cPatWqRVBQELdv32b27NmcOXOGVatWUaFCBSZNmsT48eMZP348NWvWTNf7LSIiIiIiIiJvT1xcHBEREQQGBqZ5W4Pr168TEBDAli1bsLOzS3b8p59+4rvvvmPu3Lk0adIEgKpVq/Lee+/x1VdfpXjfI8nJkyf59NNPjQ/4vujbb79l8uTJ3L9/P02xQuLDwAsXLmT+/PmpzvKYOXMmlStXJigoCDMzM2rVqkVCQgKLFy8mJiaGbNlevhRZ4cKFk60c4urqio2NDZ9++ikHDx7Ezc0Na2trZs6cSfv27Rk9ejTh4eEAzJs3j0OHDrF48WJy585t0o6dnR0TJ06kRo0a5MyZM83XLRkn3cmQoUOHMmzYMGrWrGl8ulnkvyJ37tyMGzcOHx8fli5dSo8ePV5a39ramvLlywPg6Oho/B0S/0hNmjSJ/PnzA4mzEGxsbBg7dixVqlQBMD75v3btWmMbuXPnxtra2vgP8/79+/n2229N/jDVq1ePBw8eMGPGjFSTIWfOnKFChQoEBQUZ/4DUqlWL/fv3c+TIEfr06cPJkyd58uQJXl5expvx77zzDrt27SI6OhpbW9tUr7158+Yme09MnTqV7Nmzs3jxYmN/1atXp1GjRqxYsYL+/fuzbt06/vzzTzZt2kSJEiUAqFSpUrLphq/y4MEDli1bRvfu3fHx8TFe27Vr14yzI5ISIKktjbV48WIePHjAmjVrjPuI1K9fn1atWjFz5ky++uorY90GDRowcuRIIPEP5P79+9m7d2+K/ylI7TNx+fJlevfuTb9+/Yx1HRwcaNu2LcePH6dZs2ZA4oyXgQMHGv/9ffz4MZ9//jndu3dnyJAhANStW5ebN28SFRVlbCswMJASJUowf/58YxKvfPnytGnThi1bttCyZUvje16yZElKliyZ1rdbRERERERERN6yY8eOMXPmTHr16kWBAgXSNBNi9uzZnD59msWLFxMaGprseKlSpYiIiKBcuXLGMisrK8zMzExWFUnJ0KFDKV68OEFBQSnem+rTpw/vv/8+3bt3p0OHDmm4QtiyZQvLly/H19eXO3fuMG/ePJPjd+7c4ejRowQGBpo8wNu1a1fjahivK0eOHMnKSpcujY+PD1OnTmX16tWULl2a0NBQvLy8eO+995LV9/Hxwd/fH39/fwICAv5SPPJ60p0MWbp0KdmzZ6dfv35kzZqVXLlyJXs63MzMjJ07d2ZYkCL/JO+//z6bNm0iKCiIhg0b4ujo+Frt5M2b15gIAShYsCDLly/HYDBw+fJlLly4wLlz5zh+/DjPnj1LtZ3vv/8eCwsL6tWrZzIF0t3dnZ07d3L58mUKFSqU7Lx69epRr149nj17xv/93/9x4cIFfvvtN+7cuUPevHmBxERElixZaN++PU2bNqVevXrUrFkTZ2fnV17f838oAQ4ePIirqytZsmQxxpkrVy6cnZ05cOAA/fv35+jRoxQpUsR4Ux4Sky/p3cvjhx9+IC4uzmQmDsCUKVPS3MbRo0epWrWqyYbq5ubmNG/enKCgIB49emQsT0peJSlYsCDXr19PV8yjR48GEhM5586d48KFCxw6dAgg2fiXLVvW+PsPP/zAkydPjImwJM2bNzcmQ2JiYvjxxx/p27cvCQkJJCQkAIn/qXn33Xc5cOAALVu2TFe8IiIiIiIiIvLPUaJECXbu3EmePHmMy6q/Su/evSlevDjm5uYpJkOyZs1qvCcTHx/PpUuXCA4OxmAwvHJ/j/nz51O6dOlUj2/cuJHSpUuna4msmjVrsmvXLmxtbY1Lnj/vt99+w2AwYG9vz9ChQ9m7dy8WFha0aNECX19fsmbN+so+DAaDyf21pHsqgYGBODg4JFu5pHv37uzbt4+ZM2eSM2dOKlWqxODBg1Nsu3Tp0nh5eRESEsL777+viQZvQbqTIU+fPqVIkSIUKVLkTcQj8q/w6aef0qJFC8aMGcOyZcteq43s2bMnK9u4cSOzZs3izz//JGfOnJQrV46sWbOmuAZiknv37hEfH59qwuDGjRspJkMSEhKYNWsWK1eu5PHjx7zzzjs4OzuTJUsWY3+FChVixYoVLFiwgLVr17Js2TJy5MhBly5dGDp06EuXyXrx+u7du8fXX39t3D/keUWLFgXg/v37yaYQAuTLl4+7d++m2teL7t27B0CePHnSfM6L7t+/b4zreXnz5sVgMBAdHW0se/GPqbm5uTHhkFYXL15k/PjxfP/991hZWVG8eHFj0uPF8X9+KuidO3cAkr1vSQktSEywJCQkMH/+fObPn5+s7xs3bqQrVhERERERERH5Z3n+PkBapWdVCH9/f1asWAGAt7e3yYOaKXlZIiQtx1Pi4ODw0uNJ90iS9pWdN2+ecQn6p0+fMm3atFf2MXLkSOPqH0myZ89OnTp1jMuoPy9pb5BGjRpx+fJlFi1ahIWFRart9+vXj+3btzN+/Hg2b9780lVXJOOlOxmStAGxyH9ZgQIFGDlyJGPGjGHVqlUZ0ubRo0cZOXIk3bt3p0ePHsZlqQICAlLdaAoS1xu0s7NLttF4kmLFiqVYvmDBApYsWcKkSZNo3LixcW3I9u3bm9RzdnYmJCSE2NhYjh07RkREBPPnz6d8+fLJZiO8jK2tLfXq1eOjjz5Kdsza2hpInCny888/JzuelNwAjAmYF5MNjx8/Nv6edC137twxmblz6dIl/vzzzzTtP5IjRw5u3bqVrDwpcZArV64MSyIkJCTQt29fsmTJwtq1aylXrhyWlpb83//9X7KN4l+U9Dm5ffu2ybXevn3b+LuNjQ1mZmb07NnTuNzW81JbZ1NEREREREREBKBNmzb873//Y9++fcbZIYMGDXrbYZlIWlmjSpUqTJgwAUhcztxgMDB9+nQGDhxIoUKFiI+PNznP0vL/3yL39vamXr16GAwGjhw5wpw5c2jRogUTJkwwqfe83bt3ExsbC8CaNWv4+OOPU43RysoKf39/OnbsSEBAAJMmTfpL1yzp8/Ldn1/i3r17bNmyhfDwcJYsWcL27dtNlo0Ryezat29P7dq1mTlz5ktnAbxqk/UkJ06cICEhgcGDBxtvcMfHx3PgwAGT9l/MLlevXp2HDx9iaWmJk5OT8efkyZPMmzcv1dkbx44do0yZMrRt29aYPLh+/Tq//fabsb/ly5fj7u5ObGws1tbWuLq6MnnyZAD+/PPPNF1Xkho1anD27FkqVKhgjLF8+fIsWLDAuJzTe++9x4ULF/jll1+M5925c8ckGZSUMX++/2fPnnHy5Enj60qVKmFlZcWePXtMYpg3bx6jR4/G3Nz8pVl6SHxfjx07xrVr14xlCQkJbN26FScnJ2MC53W8+Jm4e/cu58+f58MPP8TJycn4xzXpfXnZzKBy5cpha2vLrl27TMqff21ra0v58uX5448/TD4jxYoVY86cOfz4449A8s+WiIiIiIiIiAhAxYoVqVmzJiNGjKBNmzaEh4cnSyq8bUkPe9arV8+kvE6dOhgMBs6cOcO6deuoUKGCyc/zS3UVKlQIJycnnJ2d6dWrFxMnTuTLL79Mden13377jWnTptGuXTs++OADFi5cyJEjR14ap5OTE56ennz55Zd8//33f/GqJT3SPTME4IsvvmDGjBk8efLE5CZdlixZGDFixF/ekEbk32Ly5Mm0aNHipTerbW1tMTMz4/vvv6dEiRJUqlQpxXpJ+3BMnjyZ1q1bc//+fVasWMGvv/6KwWDgyZMnZM2aFTs7O27dusW+ffsoV64c9evXp0qVKvTr148BAwZQtGhRjh8/TmhoKC1atEj1qX9nZ2fCwsIIDw+nUqVKXLhwgc8++4zY2FhiYmKAxOREQEAAAwcOpFu3blhYWLB69WqyZMlCgwYN0vVeDRw4kA8//JD+/fvz4YcfYmlpyYoVKzhw4ACdO3cGoFWrVixbtoz+/fszbNgwbGxsmDdvnkkyyN7eHhcXF5YuXUrhwoWxt7dn2bJlPHnyBCsrKyBxyahu3brx+eefY2lpSbVq1Th27Bjr1q0z/vFKSgBt2rSJypUrJ1tKrEePHmzYsIHu3bszePBgbGxs+OKLLzh79iwLFixI17W/KKXPhIODA8uWLSN//vzY2try7bffGpdge37WS0pt9ejRg3nz5pE1a1ZcXFzYvXu3MRmSlHgZMmQI/fr1Y9SoUTRv3pzY2FjCw8P57bffjNM/kzYD27t3L/b29q+c8ioiIiIiIiIimdf58+c5duwY7dq1M3nYtkKFCkRGRqa63PnbkrTcedIsjSRJM0bMzMxo0KABa9euNTmeP3/+VFf/aNu2Ldu2bWPVqlU0atSIOnXqGI89efIEHx8f8uTJw+jRo4mPj+fw4cOMHDmSDRs2GO89pWTIkCHs2rWLcePG0bx589e5XHkN6Z4ZsnPnTiZNmkSxYsUIDAxk/fr1rFu3jsDAQEqVKsWUKVOSPY0tklk5ODi8dOobJK4r2KNHD3bu3Enfvn1NNmF6Xs2aNRk/fjxHjx6lT58+TJs2DQcHB0JCQoDEZbQgcVqig4MDAwcOZOPGjZibmxMeHs7//vc/QkJC6NWrF5GRkfTr1884iyMlXl5edO7cmaVLl9KnTx8+//xzWrVqxaBBgzhz5gyPHj2iVKlSfPbZZzx69AgfHx8GDRrEvXv3WLRoUbr3DSpbtiwrV64kLi6O4cOHM2zYMKKjo1mwYAG1atUCEpfLWrp0KdWqVWPKlCmMHj0aV1fXZImXadOmUbFiRcaOHYuvry8VKlSge/fuJnVGjBiBt7c3GzZsoG/fvmzduhV/f3/atWsHQKNGjXBycmLUqFEsWrQoWbz58+dn1apVlC5dmgkTJuDj48OTJ09YvHixyR++15HSZyIsLIz8+fMzYsQIhg4dyo8//si8efMoXrw4x44de2l7AwYMoF+/fkRERNCvXz8uXryIl5eXsS8ANzc3Fi5cyIULFxg8eDCjR4/G1taWZcuWGdfpLFasGC1atGDlypV88sknf+kaRUREREREROTf7bfffmPMmDEcOnTIpPy7774jf/785MqV6y1FlrISJUrg4ODAli1bTMr37NmDpaUlLi4u5MqVy2TVjLSs/jFu3DiyZMnClClTjIkVSNxH5dy5cwQEBGBra4u9vT1Tp07l6tWrTJw48aVtZsmSBT8/Py5fvszKlStf/6IlXcwML3ukPQUdO3bk2bNnrF69OtkH5dmzZ3Ts2JFs2bJpEEVE/gbPnj1j8+bNuLq6GpdXg8S9Zr766qtk/2F50wwGA7duacnEzMjePhsA9+/HvOVI5E3RGGd+GuPMTeOb+WmMMz+Nceam8f375MuX+tP4L/PoWQzn7l97dcU3pLh9QWytsmVIW5GRkfj6+rJv3z4KFiwIJC5DfvHiRUqWLJnipt0eHh5YWFiwZMkSY1lsbCydOnXi9u3bDBs2jDx58vD111+zYcMGZsyYQcuWLQG4ePEid+7coXLlyinGU6ZMGYYMGcKAAQOSHbt8+TINGzYkICCAVq1amfR9+vRpChYsaLyG5wUHBzNv3jxOnz5tUr5lyxZ8fHxo0aIFbdu25eeff2bu3Ll07doVX1/fVN+z1OJIEhQURFhYGJ988gm9e/dm69atDBkyhP79+zN06FCTupMnT2bFihXMmjWL999/n0OHDvHRRx+xcuXKZPvYJtUFOHPmTKrxScZI9zJZv/76Kz4+PilmzKysrGjVqhVBQUEZEpyIiLyclZUV8+fP54svvqBv377kyJGDH374gRUrVtCnT5+3HZ6IiIiIiIjIv4KtVTac8xZ722G8MXv37sXX15dly5ZRs2bNNJ1jbW3NwoULmTNnDrNmzeLu3buUKVOGsLAwGjZsaKwXFhbGunXrMvRm/o0bN+jYsSODBg1i8ODBaT6vefPmWFtbExoaipeXF3ny5GHgwIHGFTReV9++fVm/fj1hYWE0a9aMcePG4ezsnOIm8p988gkHDhzg008/pUqVKi9t18fHhz179nDlypW/FJ+kTbpnhlSvXp1evXrRr1+/FI+HhYWxePHiV24UIyIiGePChQsEBgZy5MgRHj16ROHChenUqRMeHh4ma3r+HTQzJPPSk2yZn8Y489MYZ24a38xPY5z5aYwzN43v3+d1Z4aISOaX7pkh1atXZ+XKlbRt25b8+fObHLt+/TpffPEFVatWzbAARUTk5YoUKcLcuXPfdhgiIiIiIiIiIiL/WOlOhgwZMoROnTrRrFkzWrduTdGiRQE4d+4cGzduJD4+niFDhmR0nCIiIiIiIiIiIiIiIq8l3cmQMmXKsHTpUqZMmZJsk/SKFSsyduxYypUrl2EBioiIiIiIiIiIiIiI/BXpTob8/vvvODk58eWXX3L79m2uXLmCwWDAwcGBvHnzvokYRUREREREREREREREXlu6kyGenp60adOG4cOHkydPHvLkyfMm4hIREREREREREREREckQ5uk94fHjxxQqVOhNxCIiIiIiIiIiIiIiIpLh0p0M6d69O4sXL+ann356E/GIiIiIiIiIiIiIiIhkqHQvk/Xzzz9z48YNPvzwQ7JmzUrOnDkxNzfNqZiZmbFz584MC1JEREREREREREREROR1pTsZ8vTpUypWrPgmYhEREREREREREREREclw6U6GLF++/E3EISIiIiIiIiIiIiIi8kakOxkiIiIiIiIiIiIikpk8in3Kufu33lr/xe3zYmud5bXP9/Dw4PDhw1SrVo2VK1emWKdLly4cO3aMQYMGMXjwYNzd3XF1dcXPzy9Z3cuXL9OwYUMCAgJo1aoVAGXKlDGpY2ZmRtasWSlatChdunThww8/TNbOli1bWLNmDb/++itPnjyhUKFCtGrViq5du5ItWzZjvbTG0rx5c9q2bcuff/7Jli1byJ8/f7L6/v7+LF++nGXLllG9evVkcVtaWmJnZ4ezszN9+vShevXqyfp6kZWVFfb29ri4uPDxxx9TrFgxk+MPHz5k8eLFbN++nUuXLpE1a1ZKly5Nhw4d+OCDDzAzMzPWDQ4OZt68eZw+fTpZP6/i7u7OlStXTMrMzc2xtbWlVKlS9OvXj3r16gGwd+9evLy88PDwYOzYsSbnJCQk0LNnT86fP8+GDRvImTMnZcqUwcHBgU2bNpE9e3aT+kePHqVr164sW7aMmjVrpjvuf4pXJkMaNmzI6NGjjR+ClD4ML9KeISIiIiIiIiIiIvJvce7+LXy/3fDW+p9atxXO+Rz+UhtmZmYcP36cmzdvki9fPpNj165d4/jx43+pfYCOHTvStm1bAAwGA9HR0Xz11VeMGzeO+Ph4OnfuDCTebP/444/ZsWMH7dq1o2vXrmTPnp1jx44RGhrK3r17CQ8PN0mIpIWVlRX+/v507NiRSZMmERISYnL8xx9/ZPny5XTv3t0kyfF83LGxsVy/fp2VK1fy0UcfMWfOHJo0aWLSzuDBg6lTp47xdUxMDKdOnWL+/Pn07NmTrVu3kiVLYvLq0qVL9OzZk4cPH9K9e3dcXFx4/Pgxe/fuZdSoUWzfvp1Zs2ZhbW2drmtNjbu7O15eXsbXcXFxXLx4kQULFjBgwADWrl1L2bJlqV+/Pp06dWLFihU0aNCA2rVrG88JCwvj8OHDLF26lJw5cxrLr1y5QmBgIOPGjcuQWP9pXpkMeffdd00yQe++++4bDUhERERERERERERE0qdixYqcOXOG7du307VrV5NjW7dupVSpUpw9e/Yv9VGwYEEqV65sUlarVi1++eUXli5dakyGhIeHs2XLFubNm4e7u7tJ3cqVK9O7d28WL17MgAED0h2Dk5MTPXv2JDw8nO3bt/O///0PSExyjB07lmLFijFs2LBXxt2sWTM8PDwYN24ctWvXxtbW1niscOHCyeq7urpiY2PDp59+ysGDB3FzcyMhIYEhQ4YQHx/Phg0bKFCggLG+u7s79evXZ8CAAQQHB/Pxxx+n+1pTkjt37mSxVatWjUqVKtG8eXM2btxI2bJlARg1ahQHDx5k1KhRfP311+TMmZNDhw4RFhbGgAEDTBJGAHZ2dqxcuZJmzZpRrVq1DIn3n+SVyZAX9wjRniEiIiIiIiIiIiIi/yy2trbUqVOHrVu3JkuGbNmyhWbNmiWbSZERzM3NKVu2LLt37wbg2bNnLF68mAYNGpgkQpLUrVuXAQMGULhw4dfuc/DgwezcuZNJkyZRq1YtbG1tCQ8P59y5c6xevdo4a+NlLC0tGTx4MD169OCbb76hQ4cOrzwnR44cJq/37t3LqVOnmD17tkkiJIm7uzstWrRg6dKleHl5mSRcMlpSbM8vyZUtWzZmzJhB586dmTRpEhMmTGD48OFUrVo1xURUly5d2LJlC2PGjGHjxo1peh//TczTe8KYMWM4dOjQm4hFRERERERERERERF5Ts2bNOHbsGLdv3zaWXblyhZMnT/L+++8nq28wGIiLi0v2k5CQkK5+//jjDxwdHQE4deoUd+/epX79+qnWHzJkCB988MFrx5IlSxb8/f25ffs2ISEhXLp0ic8++4y+ffvi5OSU5rhr1qyJubl5siXEXozl4cOHfPfddwQGBuLg4GCcNbF//37Mzc1xc3NLtY+mTZvy9OlTDhw4kOa4XubF2GJiYvjll18YMWIEVlZWtGjRwqS+s7MzAwYMYPPmzXh6ehIbG8vMmTMxN0+eGsiaNStTpkzhwoULBAUFZUi8/yTp3kB98+bNREZGkj9/ft5//31atGhB+fLl30RsIiIiIiIiIiIiIpJG7u7uWFhYsGPHDjp16gTAN998Q/ny5SlSpEiy+l999RVfffVVmttPSEggLi7O+Pv169f54osv+OWXXxg/fjwAf/75J5D+7RbSG0uVKlXo1q0bK1as4MSJE5QoUSLdy25ZWFiQK1cubt68aVI+cuRIRo4caVKWPXt26tSpw4gRI7CxsQESN1zPmTOn8XVKkpJEV69eTVdsqUnpfbK0tMTJyYnPP/+ccuXKJTunX79+bNu2jdOnT+Pn55fiLJYk7733Hh9++CFLliyhadOmODs7Z0jc/wTpToZ8//337Nmzhy1btrBy5UoWL15MsWLFaNmyJe+///5fmt4kIiIiIiIiIiIiIq/H1taWunXrsnXrVmMyZMuWLTRv3jzF+g0bNqR///7Jym/evJlieXBwMMHBwSZlNjY29O3b17hfiKVl4i3n9M4uSW8sAD4+PuzZs4dTp04RGRmJlZVVuvpMjbe3N/Xq1cNgMHDkyBHmzJlDixYtmDBhgvH6IHGWxvOvU2JhYWGsm1ZJCafn20ha/ur59+nChQvMnDmTggULEhwcTL58+VJs7/fff+f8+fNAYjKlTZs2xrhSMmLECPbt28eYMWOIjIxMc9z/dOlOhmTLlo3mzZvTvHlzHj16xM6dO/nmm28IDQ0lKCiISpUq8cEHHyRbl05ERERERERERERE3qxmzZoxatQo7ty5w6NHjzh9+nSqe4XkypUrxWWlLl++nGL9zp07065dOyBxrxBbW1sKFSpkcmM9aUbIlStXUo3x1q1b2NvbmyQv0hsLJN6rrlatGseOHaN06dKp1kvN06dPuX//frKZEoUKFTLG4uzsTK5cufD19cXCwoJPP/3UWM/BwYH9+/cTExNDtmzZUuwjKf533nknTTFdvnyZhg0bmpRNnTqVtm3bAqbvk5OTE2XLlqVdu3b07duXiIgIrK2tTc59/Pgxw4YNo1ChQnTr1o1Jkybx2WefvXQWja2tLZMmTaJv377MmzePWrVqpSn2f7p07xnyPFtbW1q3bs1nn33Gli1bcHNz44cffmDKlCkZFZ+IiIiIiIiIiIiIpFGDBg2wsLBg165dfPPNN1SuXDndS1alJn/+/Dg5OeHk5ESFChUoUqRIshkG5cqVI2/evERFRaXajo+PD02bNk337JGMduTIEeLi4ox7gKSmbdu21K9fn1WrVvHdd98Zy93d3YmLi2PXrl2pnrtt2zayZMlC7dq10xRT/vz5Wbt2rclPgwYNUq1fsmRJvL29U016TZ48mUuXLjFjxgy6du2Km5sboaGh/PTTTy+Nw83NjVatWrFgwQLOnDmTptj/6f5SMuTOnTtERETg6elJs2bN2LdvH9WrV2fSpEkZFZ+IiIiIiIiIiIiIpFHSUlnbtm1j27ZtqS6R9aaYm5vTvXt39u7dy759+5Id37t3L4cPH6ZFixYpbuL9d4mPjycsLIzcuXPzv//975X1x40bR5YsWZgyZQrPnj0DoHbt2ri4uDB9+vQUZ8JERUWxbt06unbtip2dXZrisra2Niackn5y5cr10nO6d+9O6dKlWbRoEX/88YexfNOmTURGRjJ48GAqVqwIgJ+fH7a2tgwfPpyYmJiXtjt69Gjs7e2ZNWtWmmL/p0v3Mll3795l+/btbN261Zg5K1OmDEOHDqVFixYULFjwTcQpIiIiIiIiIiIi8kYUt8/L1Lqt3mr/GSlpqayEhASaNm2aoW2nhaenJ4cOHWLgwIF07NiRevXqAXDw4EFWrlxJtWrVGDhw4N8Wz7Vr1/jhhx+AxP04rly5QkREBCdPnmTu3Lkv3QA9SaFChejVqxdhYWEsXbqU3r17Y25uTmBgIH379qVdu3b06NGDSpUqERsby759+4iIiMDNzY1hw4aZtGUwGFiyZEmyPnLnzk3Lli3TfX2WlpaMHj0aT09P/P39WbBgAZcuXWLChAlUr16dPn36GOvmy5ePSZMm4e3tzdSpU186sSFnzpyMHz8eb2/vdMf0T5TuZEidOnVISEjgnXfeoVevXnzwwQeULFnyTcQmIiIiIiIiIiIi8sbZWmfBOZ/D2w4jwyQtleXi4kL+/Pn/9v6tra2ZP38+q1evZsOGDWzatInY2FiKFCnCsGHD6Ny5c7K9Ld6kiIgIIiIigMTNyHPnzk2VKlVYtWpVivuUpKZv376sX7+esLAwWrZsSf78+XFwcCAiIoIvvviCTZs2MX/+fKytrSldujR+fn60bNnSuPl5koSEBKZOnZqs/bJly75WMgTA1dWVJk2asG3bNnbv3s28efMwMzMjICAg2QycJk2a0Lp1ayIiIqhfvz7u7u6pttukSRNju/92Zob0bGMPfPrpp3zwwQdUrVr1TcUkIiL/UgaDgVu3Hr3tMOQNsLdP3Aju/v2XT6GVfy+NceanMc7cNL6Zn8Y489MYZ24a379PvnxpW4pIRP570j0z5NNPP30DYYiIiIiIiIiIiIiIiLwZ6U6GQOLGL19//TW3bt0iPj4+2XEzMzOWLl36l4MTERERERERERERERH5q9KdDFm5ciVTpkwBIE+ePH/r2m4iIiIiIiIiIiIiIiLple5kyLJlyyhbtizh4eHkzZv3TcQkIiIiIiIiIiIiIiKSYcxfXcXUn3/+SceOHZUIERERERERERERERGRf4V0J0McHR25devWm4hFREREREREREREREQkw6U7GdK3b1+WL1/O77///ibiERERERERERERERERyVDp3jPk2LFj2NjY0KpVK4oVK0bu3LkxMzMzqWNmZsbSpUszLEgREREREREREREREZHXle5kyLfffgtAwYIFiYmJ4cqVKxkelIiIiIiIiIiIiIiISEZJdzJk9+7dbyIOERERERERERERERGRN+KVyZBBgwbh6elJtWrVjGUGg4EzZ85QpEgRsmXLZlJ/48aNjBo1itOnT2d8tCIiIiIiIiIiIiIZ7FFsLOfv331r/Rezz4WttfVrn+/h4cHhw4dNyszMzMiePTtFixale/futGrVil9++YUOHTpQr149wsLCkrXj6+vLtm3bWL9+PY6Ojri7u/PgwQM2b95MgQIFTOpeu3YNNzc3pk6dStu2bV8a36FDh5g9ezZnzpwhd+7ctGjRgoEDB2L93DWfPHmSGTNmcOrUKbJly0azZs0YOnQotra2Kbb5888/07FjR/z9/WnVqpWx/ObNmwQFBbF//37u3btHsWLF6NOnD82aNXvl+yiZ2yuTITt37qRJkyYmZffu3aNNmzYsWrQIV1fXZOcYDIaMi1BERERERERERETkDTp//y6++3a+tf6nujXCKV+BV1d8CScnJ8aOHWt8HR8fz7Vr11iyZAkjRowgZ86cuLm54e3tTWBgIGvWrKFDhw7G+uvXrycyMpKZM2fi6OhoLH/48CETJkxg/vz5rxXXmTNn6NWrF66urgQHB/PHH38QGBjIgwcPmDBhAgDnzp3D09MTFxcXgoKCuHXrFjNnzuTChQuEh4cnazM2NpZRo0YRFxeXrLx37948fPgQb29v8ufPz7Zt2xg6dCjx8fG0aNHita5BMod0L5OVRAkPERERERERERERkX8GW1tbKleunKy8Xr16uLq6EhkZiZubG7179yYqKgp/f39q1qyJo6MjZ8+eZeLEibRt25YPPvjA5Hw7Ozv27NnDxo0badmyZbrj2rx5M1ZWVsydO5ds2bJRp04dbt++TXh4OKNHj8bKyooVK1aQNWtWQkNDyZo1K5B4/9nX15eLFy+aJGcA5syZw8OHD5P1FRUVxa+//sqaNWtwdnYGoHbt2ly9epXw8HAlQ/7jzN92ACIiIiIiIiIiIiLyZmTJkgVra2vMzMwAMDc3Z/r06ZibmzNixAiePn2Kj48PBQoUYNy4ccnOb9y4MS4uLvj5+XH79u109//06VMsLS2NSQ6AnDlz8uzZM6KjowHo168fn3/+uUkdKysr4/nPO378OCtWrGD8+PHJ+rKxsaFjx444OTmZlBcvXpyLFy+mO3bJXJQMEREREREREREREfmXMxgMxMXFGX+ePn3K2bNn8fX1JTo62mRfDQcHB8aNG8eJEyfo1KkT586dY86cOWTPnj1Zu+bm5vj5+RETE8OkSZPSHVe7du2Ij49n5syZ3Lt3j59//pklS5bg5uZGzpw5AcifPz/lypUD4PHjxxw4cIDZs2dTpUoVSpUqZWwrJiYGX19fvLy8KFOmTLK+XF1dmTRpkjHxA/Ds2TP27dtn0o78N732MlkiIiIiIiIiIiIi8s9w8OBBKlSoYFJmZmZGmTJlCAoKokGDBibHWrduzTfffMPevXsZMGAAZcuWTbXtEiVKMGjQIAIDA9mxYweNGzdOc1ylS5fm448/ZsqUKSxcuBCAsmXLMnPmzBTr165dm8ePH5MzZ85kM1UCAwPJnj07Xl5eXLt2LU39z5gxgz/++IPQ0NA0xyyZk2aGiIiIiIiIiIiIiPzLOTs7s3btWtauXUtoaCilS5emWLFizJ49m6ZNmyarf/36dX744QcgcV+Px48fv7T9nj17UqFCBSZOnMj9+/eTHY+PjzeZmRIfHw/AggULmDRpEt26dWPp0qVMnz6dR48e0bt3b2JiYkzaSEhIIDg4mHnz5lGsWDG6devGb7/9BsChQ4eIiIhg6tSpWFq++hl/g8FAQEAAS5cupVevXjRq1OiV50jmlqZkyL1797h69arxJynrdufOHZPyq1evcvfu3TcasIiIiIiIiIiIiIiYsrGxwcnJCScnJxo1asTixYu5f/8+PXv25M6dOyZ1ExISGD58OObm5syaNYsLFy7g5+f30vYtLS3x9/fn3r17+Pv7Jzvu6elJhQoVjD+enp7ExcURFhZGmzZtGDNmDO+99x6tW7cmPDyckydP8tVXX5m0YW5uTp06dXB3dyc8PBwLCwuWL19OdHQ0vr6+9OnTh5IlSxIXF0dCQgKQmPRISrwkiY2N5eOPP+bzzz+nV69ejBgx4nXeUslk0rRMlr+/f4of8OHDh2d4QCIiIiIiIiIiIiLy1+TNm5fx48czZMgQ/Pz8CAwMNB4LCwvj8OHDhIaG0qhRI44cOcKqVato0KDBS2dQlC1blj59+hAWFkbVqlVNjk2cONG4ITokJmfu3LlDTEwMVapUMalbvHhx8uTJw++//w5AVFQU1tbWvPfee8Y6dnZ2FC5cmBs3bvDzzz9z5coVQkNDky13NXLkSObOncvu3bsBePToEV5eXhw/fpzRo0fTvXv3dL5zklm9MhnSpk2bvyMOEREREREREREREclATZs2pW7dumzatImOHTtSo0YNjh49SlhYGB07djQmPkaOHMn333/P2LFjqVSpEvny5Uu1zf79+7Njxw6mT59uUl68ePFkdePj47G3t+fYsWN8+OGHxvKLFy9y+/ZtHBwcAPjiiy84d+4cmzdvxsrKCoBr165x9uxZateuTYUKFVi7dq1J2zdv3qR///54e3sbryM+Pp7+/fvz448/pro8mPx3vTIZMnXq1L8jDhEREREREREREZG3oph9Lqa6vb09JYrZ53pjbY8ePZqWLVsyZcoUli5dyvDhw3F0dMTX19dYJ1u2bAQEBNClSxd8fX0JDw/HzMwsxfasra3x9/enU6dOr+zbwsKCgQMH4u/vj52dHQ0bNuTGjRuEhoaSP39+Y4LEy8sLDw8PvL296dKlC/fu3SM0NBR7e3s8PT2xtbXFycnJpO3Lly8DUKhQIcqUKQPA6tWrOXz4MB07dqRgwYLGPVEgcTP5SpUqpeu9k8wlTctkiYiIiIiIiIiIiGRWttbWOOUr8LbDeCOKFy+Oh4cHixYtokmTJjx+/JjVq1eTLVs2k3qVKlXCy8uL0NBQVqxYgYeHR6ptOjs70717dxYtWvTK/rt3706OHDlYtGgRq1evJm/evLi6uuLj40POnDkBcHFxYcmSJcyZM4chQ4ZgaWlJnTp1+OSTT8iTJ0+ar3Xbtm0AREREEBERYXLMwsKC06dPp7ktyXzMDAaD4W0HISIimYPBYODWrUdvOwx5A+ztE/+TfP9+zFuORN4UjXHmpzHO3DS+mZ/GOPPTGGduGt+/T758dm87BBH5hzJ/2wGIiIiIiIiIiIiIiIi8SUqGiIiIiIiIiIiIiIhIpqZkiIiIiIiIiIiIiIiIZGpKhoiIiIiIiIiIiIiISKamZIiIiIiIiIiIiIiIiGRqSoaIiIiIiIiIiIiIiEimpmSIiIiIiIiIiIiIiIhkakqGiIiIiIiIiIiIiIhIpqZkiIiIiIiIiIiIiIiIZGpKhoiIiIiIiIiIiIiISKZm+bYDEBEREREREREREXmbHsU+4/z9B2+t/2L2ObC1tnrt8z08PDh8+LBJmZmZGdmzZ6do0aJ0796dVq1a8csvv9ChQwfq1atHWFhYsnZ8fX3Ztm0b69evx9HREXd3dx48eMDmzZspUKCASd1r167h5ubG1KlTadu27UvjO3ToELNnz+bMmTPkzp2bFi1aMHDgQKytrY11Tp48yYwZMzh16hTZsmWjWbNmDB06FFtb2xTb/Pnnn+nYsSP+/v60atXKWB4dHc3MmTPZvn07jx8/plq1aowZM4aiRYu+6m2UTE7JEBEREREREREREflPO3//AWP2ff/W+vdzc8UpX56/1IaTkxNjx441vo6Pj+fatWssWbKEESNGkDNnTtzc3PD29iYwMJA1a9bQoUMHY/3169cTGRnJzJkzcXR0NJY/fPiQCRMmMH/+/NeK68yZM/Tq1QtXV1eCg4P5448/CAwM5MGDB0yYMAGAc+fO4enpiYuLC0FBQdy6dYuZM2dy4cIFwsPDk7UZGxvLqFGjiIuLS3Zs2LBh/PTTT4wYMQIbGxtCQkL46KOP2Lx5M3Z2dq91DZI5KBkiIiIiIiIiIiIi8i9na2tL5cqVk5XXq1cPV1dXIiMjcXNzo3fv3kRFReHv70/NmjVxdHTk7NmzTJw4kbZt2/LBBx+YnG9nZ8eePXvYuHEjLVu2THdcmzdvxsrKirlz55ItWzbq1KnD7du3CQ8PZ/To0VhZWbFixQqyZs1KaGgoWbNmBcBgMODr68vFixdNkjMAc+bM4eHDh8n6Onr0KPv27SM8PJx69eoBUK1aNRo2bMiqVavo27dvuuOXzEN7hoiIiIiIiIiIiIhkUlmyZMHa2hozMzMAzM3NmT59Oubm5owYMYKnT5/i4+NDgQIFGDduXLLzGzdujIuLC35+fty+fTvd/T99+hRLS0tjkgMgZ86cPHv2jOjoaAD69evH559/blLHysrKeP7zjh8/zooVKxg/fnyyvvbv34+NjQ21a9c2luXOnZvq1asTFRWV7tglc1EyRERERERERERERORfzmAwEBcXZ/x5+vQpZ8+exdfXl+joaJN9NRwcHBg3bhwnTpygU6dOnDt3jjlz5pA9e/Zk7Zqbm+Pn50dMTAyTJk1Kd1zt2rUjPj6emTNncu/ePX7++WeWLFmCm5sbOXPmBCB//vyUK1cOgMePH3PgwAFmz55NlSpVKFWqlLGtmJgYfH198fLyokyZMsn6OnfuHEWKFMHCwsKk3NHRkfPnz6c7dslctEyWiIiIiIiIiIiIyL/cwYMHqVChgkmZmZkZZcqUISgoiAYNGpgca926Nd988w179+5lwIABlC1bNtW2S5QowaBBgwgMDGTHjh00btw4zXGVLl2ajz/+mClTprBw4UIAypYty8yZM1OsX7t2bR4/fkzOnDmTzVQJDAwke/bseHl5ce3atWTnPnr0KMUN121sbHj06FGaY5bMSTNDRERERERERERERP7lnJ2dWbt2LWvXriU0NJTSpUtTrFgxZs+eTdOmTZPVv379Oj/88AOQuK/H48ePX9p+z549qVChAhMnTuT+/fvJjsfHx5vMTImPjwdgwYIFTJo0iW7durF06VKmT5/Oo0eP6N27NzExMSZtJCQkEBwczLx58yhWrBjdunXjt99+A+DQoUNEREQwdepULC1TfsbfYDCkGr+5uW6F/9fpEyAiIiIiIiIiIiLyL2djY4OTkxNOTk40atSIxYsXc//+fXr27MmdO3dM6iYkJDB8+HDMzc2ZNWsWFy5cwM/P76XtW1pa4u/vz7179/D390923NPTkwoVKhh/PD09iYuLIywsjDZt2jBmzBjee+89WrduTXh4OCdPnuSrr74yacPc3Jw6derg7u5OeHg4FhYWLF++nOjoaHx9fenTpw8lS5YkLi6OhIQEIDEBkpR4sbW1Ne5D8rzo6OgUZ4zIf4uWyRIRERERERERERHJZPLmzcv48eMZMmQIfn5+BAYGGo+FhYVx+PBhQkNDadSoEUeOHGHVqlU0aNCARo0apdpm2bJl6dOnD2FhYVStWtXk2MSJE00SETY2Nty5c4eYmBiqVKliUrd48eLkyZOH33//HYCoqCisra157733jHXs7OwoXLgwN27c4Oeff+bKlSuEhoYSGhpq0tbIkSOZO3cuu3fvplixYnz//fcYDAbjhvEAFy5coFixYul49yQz0swQERERERERERERkUyoadOm1K1bl02bNnH48GEAjh49SlhYGB07djQmPkaOHEnRokUZO3YsN2/efGmb/fv3p1SpUkyfPt2kvHjx4saZKU5OTsaEh729PceOHTOpe/HiRW7fvo2DgwMAX3zxBePHj+fZs2fGOteuXePs2bOULl2aChUqGJcAS/qZN28eAN7e3sbf69Spw4MHDzhw4ICxnTt37nD06FFq1ar1Om+hZCJKhoiIiIiIiIiIiIhkUqNHj8bKyoopU6Zw9+5dhg8fjqOjI76+vsY62bJlIyAggIcPH+Lr6/vSvTesra3x9/dPtt9HSiwsLBg4cCDr169nypQpfP/992zYsIHevXuTP39+PvzwQwC8vLy4evUq3t7efPvtt3z99dd4enpib2+Pp6cntra2JokWJycnSpcuDUChQoUoU6YMANWrV6dGjRr4+PiwZs0aduzYgaenJ3Z2dnTu3PmvvI2SCWiZLBEREREREREREflPK2afAz8317fa/5tSvHhxPDw8WLRoEU2aNOHx48esXr2abNmymdSrVKkSXl5ehIaGsmLFCjw8PFJt09nZme7du7No0aJX9t+9e3dy5MjBokWLWL16NXnz5sXV1RUfHx9y5swJgIuLC0uWLGHOnDkMGTIES0tL6tSpwyeffEKePHnSdb0hISFMmzaNgIAAEhISqFq1KnPmzMHe3j5d7UjmY2Z4WZpPREQkHQwGA7duPXrbYcgbYG+f+J/k+/df/eSP/DtpjDM/jXHmpvHN/DTGmZ/GOHPT+P598uWze9shiMg/lJbJEhERERERERERERGRTE3JEBERERERERERERERydSUDBERERERERERERERkUxNe4aIiEiGMRgMPHsW/7bDkDfA0tICgLg4jW9mpTHO/DTGmZvGN/PTGGd+rzvGcXEJREc/fRMhSQbSniF/H+0ZIiKpsXzbAYiISOby64NLbzsEEREREZH/hOL2BbG2tHrbYYiIiPwrKBkib53BYMDMzOxthyEiGSDBkMCo7xa97TBERERERP4TptXpSdkchd92GCIiIv8Kb23PEIPBwJIlS2jSpAnOzs60bNmSr7/++pXnXb58mTJlypj8lC1bFhcXFzp27MjOnTuNdQ8dOkSZMmU4evTom7yUNIuMjKRMmTJcu3btbYdiNGrUKBo3bvxW+o6NjWXatGlpGvfMKDg4mPLly7/tMN6Yf+LnXURERERERERERP6b3trMkM8++4y5c+cyePBgKleuTFRUFMOHD8fCwoLmzZu/8vzBgwdTp04dIDGx8uDBAxYvXsygQYP47LPPcHNze9OXkCkMGDCA6Ojot9L3nTt3WLx4MVOnTn0r/YtIxjM3M+fL90e/7TBERERERP4TsllYg0ErLYiIiKTFW0mGPHv2jEWLFtG5c2f69+8PgKurKz///DMrVqxIUzKkcOHCVK5c2aSsevXquLm5sWzZMiVD0sjR0fFthyAimcy5e3fedggiIiIiIv8Jxe3zks1Ce4aIiIikxVtJhlhYWLB8+XJy5sxpUm5lZcXjx49fu93s2bNTtGhRrl69alJ+9uxZQkNDOXbsGHZ2drRr144hQ4ZgYWEBQEJCAgsWLGDt2rVcu3aNQoUK0atXLzp06GBsw8PDg2LFivHuu++yatUq7ty5Q4UKFRgzZgxOTk78/vvvtGjRAj8/P9q3b28879y5czRr1ozPPvssWbyjRo3i2rVrNG3alLCwMB4+fEj16tUZO3asMUkRHBzM5s2bad68OcuXLydbtmx88803ZMmShRUrVrBmzRouXbpEvnz5aN++PX379jVel4eHB46OjrzzzjusWLGCuLg46tWrx9ixY8mdO7cxhmPHjrFjxw4A4uLi0tTuy96LJNu2bWPJkiX8+uuvPHv2jMKFC+Ph4UGXLl24fPkyDRs2BMDX15eQkBB2794NwJEjR5gzZw4///wzWbNmpXHjxowYMYIcOXKkOvbx8fEsXLiQr7/+mosXL2Jubk65cuUYOnQoNWvWBODJkydMmzaN3bt3c+fOHQoVKkSHDh3o1avXSz9X+/btY968efz666/Y2dnRpEkThg0bho2NDZC4HNtnn33GTz/9RExMDAUKFKBNmzYMGDAAc3Nz47X6+vqyatUqrl+/zuTJk43tb926lcDAQK5fv46zszMjRozA2dnZePzs2bMEBgZy4sQJnjx5QtWqVRk+fDhly5Y19v/RRx+xdOlS5s+fz4kTJ7C1taVNmzYMGzbMOG4pSWvswcHBbNy4kf3792NlZUWTJk0YPXo02bJlAxK/Q/Pnz+fLL7/k7t271K5dm+rVq7/0fU06769+95KcOXOGmTNncvToUczNzalTpw6+vr4ULFjQ5H2aNGkS8+bN4+HDh8yfP5/q1auzZs0aFi5cyJ9//knZsmXx8vJiwIABLFu2jNy5c7/yu12/fv1k13bnzh38/Pw4ePAgDx8+pFixYvTo0YPWrVuneWwjIyPx9fVl3759xusAcHd3x9XVFT8/v1Q/Xx988AE//PADQUFB/Pjjj2TJkoW6desycuRI8uTJA8Ddu3cJDAxk165dREdHU6FCBYYPH07VqlVfOXapjqnBgO+3G177fBERERERSbupdVtR1r7A2w5DRETkX+GtJEPMzc0pU6YMkLjE1e3bt4mMjOTAgQNMmjTptdt99uwZV65cMblBCuDn50f//v3p27cvO3fu5LPPPuOdd96hc+fOAHz66adERkbSv39/KlWqxP79+xk3bhxPnjzBw8PD2M6WLVsoWbIk48aNw2AwMH36dIYMGcLOnTspVaoUTk5ObNy40eSG6fr168mXLx9169Zlw4bkNwh//vlnzp49y/Dhw7GysiIwMJCPPvqILVu2kD17dgAuXbrE/v37mTNnDg8ePMDGxoaRI0eyefNm+vXrh4uLC8ePHyc0NJRLly7h7+9vbH/79u3kzZuXSZMm8fDhQwICAujduzdr167F3Dz5ljFjxoxJU7svey/Mzc3ZtWsX3t7eeHp64u3tzZMnT/jiiy+YOHEiFStWpGzZssybN4/+/fvTv39//ve//wGJiZAePXpQq1YtgoKCuH37NrNnz+bMmTOsWrUKS8uUP7IBAQF8+eWXDB8+nFKlSnH9+nVCQ0MZMmQIe/bsIVu2bPj7+/Pdd98xatQo8uTJQ1RUFAEBAeTOnZs2bdqk2O6ePXuM8fXv359bt24xffp0bt68SVBQEKdOnaJnz540b96cOXPmkJCQwNdff01wcDDFixc3meUUEhLCmDFjyJo1K9WrV+ePP/4gPj6eCRMmMGzYMPLly8f8+fPp3r07GzdupHDhwpw5c4ZOnTpRsmRJJk6cCCQuMde5c2fWrFlDyZIlje1//PHHdO3alX79+rFnzx7Cw8MpUqSISWLheemJfezYsbRr146wsDBOnjzJ7NmzyZMnD0OHDgVgxowZLFu2zPgd+uabbwgMDEyx3+dlxHfP3Nyc8+fP07lzZ0qWLMmMGTOIjY0lODiYrl27sn79euzs7IxthYaGMnbsWKKjo6lUqRJfffUVY8eOpWvXrjRo0ICDBw/i4+NjrJ+W73ZKPvnkE27fvs3EiROxtbVlw4YNjBw5knfeeYeaNWuma2zT4sXP1+nTp+nWrRtVqlQhICCA2NhYZs6cSb9+/VizZg1Pnz7F09OT27dv4+PjQ758+Vi9ejWenp6sXLnSJCEnIiIiIiIiktlFx8Zx/v7rP6T9VxWzz46N9Vvb0UDkP+Gtf8O2b9+Ot7c3APXr16dly5ZpOs9gMBAXFwckzgq4cuUK8+bN4/bt23Tp0sWkbo8ePYzLcb333nvs2rWLgwcP0rlzZ86fP8+XX37JiBEj6NmzJwB16tQhPj6eoKAg2rdvb3z6PWn2ga2tLQDR0dGMHDmS3377jbJly9KuXTsmTpzItWvXKFiwIAkJCWzcuJEPPvgg1afzHz58yOeff06lSpUAKFGiBK1atWLdunV07doVSJyt4evra1wW7Pfff2f9+vWMGDHCOKuhdu3aZM2alZkzZ+Lp6Unp0qUBiImJYdGiRbzzzjsA5M6dm379+hEVFZXsafb0tPuq9+Ls2bO0bdsWX19fY/suLi7UrFmTw4cP4+zsbNw83NHR0fh7YGAgJUqUYP78+cZkTfny5WnTpg1btmxJ9fNx48YNfHx8jO8ZQJYsWRg8eDC///47zs7OHD58mNq1axtv8tesWZPs2bOTK1euFNuExJk5FStWZO7cucYyg8HA4sWLefToEb/99ht16tQhICAAMzMz43u2e/dujhw5YpJQaN68eYpJlylTphg3sa9SpQru7u4sW7aMMWPGEBoaSrZs2Vi6dKkxOVa7dm0aN27M3LlzTeLq2LEjAwYMABI/5zt37mTv3r2pJkPSE3uDBg0YOXIkkLik3f79+9m7dy9Dhw7lwYMHLF++nJ49ezJo0CAA6taty40bN/j2229TfW8z8rsXEhJC9uzZWbx4sXHGTvXq1WnUqBErVqwwfv8BunXrZky+QWISoUmTJowfP94Ye3R0NKtWrTLWeZ3v9uHDhxk4cCCNGjUCoEaNGuTMmRMrq8Qp7OkZ27R48fM1adIk8uTJw8KFC7G2tgYgZ86cjB8/ngsXLnDo0CHOnDnDmjVrjAnkevXq0b59e2bPns3ixYvT1X8SczMzptZt9VrnioiIiIhI+hS3z/u2QxDJNM7ff8z4qNNvrf9J9cpTMV/qq6K8ioeHB4cPHzYpMzMzM66k0717d1q1asUvv/xChw4dqFevHmFhYcna8fX1Zdu2baxfvx5HR0fc3d158OABmzdvpkAB05lo165dw83NjalTp9K2bds0xRkdHU3Lli3x9vamVavk9w+uX7/O+++/z/z586lWrZrJsW+//Za5c+fy+++/kytXLtq2bUu/fv2M91ogcRWMmTNnsmvXLp4+fYqTkxMjRoygYsWKKcbj7e2NnZ0dfn5+aYpf/t3eejKkfPnyrFixgjNnzhAUFETfvn1ZunQpkHgD9HnPzwoYOXKk8eZskly5cuHr65tsv5DnvzhmZmY4ODjw8OFDAA4ePIjBYKBBgwbG5AokLkOzdOlSTp48aVxmqUyZMsabsYDxH4Ckpb1atGjBtGnT2LhxI3379uXQoUP8+eefL/3HoHDhwsZESFIfRYoU4ejRoyY39suVK2f8/ciRI8b+nteyZUtmzpzJkSNHjEmLqlWrGhMhkJhwsra25ujRo8mSIelp91XvRd++fYHEf+DOnz/PxYsX+emnn4DEGTwpiYmJ4ccff6Rv374kJCSQkJAAJD6Z/+6773LgwIFUkyGzZ88GEpcmOnfuHBcuXGDPnj0m/dWsWZPVq1cb/6F2c3Nj4MCBKbYHictqnT59mmHDhpmUt2/f3jhDoE2bNrRp04anT58ar/P06dPEx8cnu87nxzCJlZWVcbkwSPwMV6lShWPHjgFw9OhR3N3djTfLAWxsbHB3d2fnzp0mbVWpUsXkdcGCBYmJiUn1+tITe0ptX79+HYAffviBZ8+emVwHQLNmzV6aDMnI797BgwdxdXUlS5YsxrZy5cqFs7MzBw4cMEmGJC1BBXDhwgWuXr3K8OHDTWJr3ry5STLkdb7bNWvWJDg4mNOnT1O3bl3c3NxM/s1Kz9imxYufr2PHjtGwYUNjIgSgVq1axrbnzJlDgQIFKFeunMn736BBAz777DNiY2NNzk0PTdPPnCwtExN/cXHxr6gp/1Ya48xPY5y5aXwzP41x5ve6YxwXl/AmwhGRfyEnJyfGjh1rfB0fH8+1a9dYsmQJI0aMIGfOnLi5ueHt7U1gYCBr1qwxeYh2/fr1REZGMnPmTJN9hh8+fMiECROYP3/+X4rv0aNHDBgwgMuXL6d4/MaNG/Tu3dt43/Z5R44coV+/fjRv3pxhw4Zx/vx5Zs6cye3bt/n000+BxAfKe/Xqxb179xgzZgw5cuRg/vz59OrVi40bN5okcwwGAzNmzGDbtm0mK4FI5vbWkyGFCxemcOHCVK9eHVtbW0aOHMmJEyf4448/TGYVAOzatcv4u7e3N/Xq1QMS9yCxs7OjUKFCxifcn5f0dHkSc3Nz4432e/fuAdC0adMU47tx44bx96xZsyZrBzC2ZWdnR6NGjYw3TNevX4+TkxOlSpVK9frz58+frCxPnjw8ePDA+NrCwoIsWbIYX9+/f99Y78XzAJN/MF5s38zMjNy5c5u0/zrtvuq9uHPnDhMmTGDnzp2YmZlRpEgRY1LKYDAk6xvgwYMHxr0nUvrH9fmxeNFPP/3ExIkT+emnn8iWLRslS5bk3XffNelvzJgxFCxYkI0bNzJ58mQmT56Mi4sLn376qckN8uffD4PBYNxfJSVPnjxh8uTJbNiwgbi4OAoVKoSLiwuWlpbJrvP5m95JcuXKlWy5sty5c3Pp0iVjDHnzJn/SJ0+ePDx69MikLKUxSRqPvxr7y9pO+ty8+D7ly5cv1b4hY7979+7d4+uvv+brr79O1k7RokVNXj8/Dnfu3Ekx9hff89f5bs+ePZv58+fzzTffsG3bNszNzalVqxaTJk3CwcEhXWObFi9+vu7du/fSz+69e/e4du0aFSpUSPH43bt3kz3xkVb376eehJN/L3v7xL+lGt/MS2Oc+WmMMzeNb+anMc78NMYi8lfZ2toaV5Z5Xr169XB1dSUyMhI3Nzd69+5NVFQU/v7+1KxZE0dHR86ePcvEiRNp27YtH3zwgcn5dnZ27Nmzh40bN6Z5VZ8Xffvtt0yePNl4H+l5BoOBLVu24O/vb/LA5vMWLlxIiRIljCuc1KpVizt37jB//nx8fX3JkiULGzZs4LfffmPDhg2UKFECSEwQtW7dmiNHjhgfAD979ix+fn4cPXo02T0nydzeSjLk3r177N27F1dXV5ObbUlLJd24cYMGDRqwdu1ak/Py589vvEFaqFChZHuDvI6kvQRWrFiR4oe/UKFC6Wqvffv2eHp68ssvv7Bz506TvQdSknRD+Hm3b99+6Xr9SRuJ37592+T9u3nzJoDJsk8vtp+0R0tKN0nT0+6rDB8+nPPnz7NkyRJcXFywtrYmJiaGL7/8MtVzbGxsMDMzo2fPnjRr1izF4yl59OgRvXv3ply5cmzevJnixYtjbm7Ovn372LZtm7GetbW1cY+Sq1evsmfPHsLCwvjkk09SvImeNBPh7t27yfo7ceIElStXJiAggO3btxMUFISrq6vxhrSrq+ur3yQSE0wGg8EkiXfr1i3j+OTIkYNbt24lO+/mzZvkzJkzTX2kxs/P7y/FniTpc3Hr1i2TpwZS+mw/LyO/e7a2ttSrV4+PPvoo2bGXzW5I+pzfvn3bpDwpSfK89H637ezs+OSTT/jkk084d+4cu3btIiwsjMmTJzN//vw0jW3S5+LFWXLR0dEv7RsS35MXryMhIYGoqCicnJyws7OjRIkSTJ8+PcXz0/N9FxEREREREZF/rixZsmBtbW28z2Bubs706dNp2bIlI0aMYOnSpfj4+FCgQAHGjRuX7PzGjRtz/vx5/Pz8qF27drIHqdOiT58+vP/++3Tv3j3Zku5Xrlxh5MiRdOrUiTp16uDl5ZXs/PHjx/PkyROTe2hWVlbGFU6yZMnCjh07qFmzpjERAokPwEZFRZm09emnn/L06VMiIiJeumqMZD7Jd9D+GyQkJDBq1CgiIiJMyvfv3w9A6dKlyZUrF05OTiY/r7tky8skzVa4f/++SV9//vknc+fOfekyQyl57733cHBwwN/fn9jY2GRLTr3ojz/+4I8//jC+/vXXX7lw4QLvvfdequdUr14dgE2bNpmUJ72uWrWqsez48eMms0B2797Ns2fPUmw/Pe2+yrFjx2jatCk1a9Y0jlvSPzxJT/O/OCPC1taW8uXL88cff5iMRbFixZgzZw4//vhjin2dO3eOe/fu4enpScmSJY3tJvVnMBh4+vQpTZo0YdGiRQC8++67dO3alffff58///wzxXZtbGwoW7Ysu3fvNinfuXOnccresWPHcHV1pWHDhsZkws8//8ydO3deOisjSUxMDEePHjW+vnHjBseOHTMuD1W9enX27NljXA4KEpeG2rNnT7rGIyV/NfYkLi4uZM2ala1bt5qUJy1TlpqM/O7VqFGDs2fPUqFCBWM75cuXZ8GCBcn+4D3vnXfeoVChQiazzoAUl6lKz3c7aSm2pPekePHi9OnTh1q1ahk/b2kZ26SE3POf0bNnz74y0QSJ39fvvvvOZMmz48eP4+Xlxfnz56levTpXr14lf/78Ju//rl27WL58ucl6myIiIiIiIiLyz5e0x3LSz9OnTzl79iy+vr5ER0eb7NHh4ODAuHHjOHHiBJ06deLcuXPMmTMnxZVNzM3N8fPzIyYmhkmTJr1WbBs3biQwMDDFB7Rz5crF1q1bGTt2bLIVfp6PNynJ8ejRI7Zv386iRYt4//33jfdPzpw5Q6lSpVi4cCH169enQoUKdO7cmV9++cWkrXHjxvHll1+muKS9ZG5vZWZI7ty56dKlCwsWLCBr1qw4OTlx7NgxPvvsMzp06EDx4sX/tljKli1LixYtGD16NJcuXaJcuXL8/vvvzJ49mwoVKhiXWkorMzMz2rRpQ0hICE2bNsXe3v6l9RMSEujfvz9Dhw4lLi6OwMBASpYsmWw62vNKly5Ny5YtmT17NjExMbi4uHDixAnmz59Py5YtKVmypLFudHQ0ffv2xcvLi1u3bjFz5kxq166dYjIkPe2+irOzMxs3bqRcuXIUKFCA48ePs2DBAszMzIw3uW1tbTEzM+P777+nRIkSVKpUiSFDhtCvXz9GjRpF8+bNiY2NJTw8nN9++y3ZHjFJihUrhq2tLWFhYZiZmWFubs62bdv46quvgMQbzFmyZMHZ2ZmQkBCsrKwoU6YM58+fZ926dTRp0iTV6/D29mbgwIEMHz6cVq1ace3aNQIDA2ndujXvvvsuzs7ObN26lYiICIoVK8avv/7KvHnzTK7zZaysrBg5ciTDhw/H2tqauXPnYmdnZ5zhMHDgQD788EM8PT3p3bs3kDgt8PHjx8bN0l/XX409iY2NDQMGDGDOnDlkzZqVGjVqsHfv3lcmQzLyu5f0PvXv358PP/wQS0tLVqxYwYEDB+jcuXOq55mZmTF48GBGjhxJnjx5aNCgAcePH2fFihWAacIuPd/tggUL4uDgwJQpU3j06BGOjo78/PPP7Nu3zzhuaRnbmjVrkjVrVvz9/RkyZAjR0dHMnTs3TbOCBgwYQKdOnejXrx/dunXj8ePHzJo1ixo1alClShXKlSvHihUr6NGjB15eXhQoUIC9e/eyePFiBg0alOKSgyIiIiIiIiLyz3Xw4MFky2GbmZlRpkwZgoKCaNCggcmx1q1b880337B3714GDBiQ4jLySUqUKMGgQYMIDAxkx44dNG7cOF2xJe1DnBIbG5tUV4R50d27d433NQsXLmyycsedO3fYtGkTefLkYezYsZiZmREcHIynpydbt241roLxslgkc3tre4b4+vryzjvvsHbtWoKDgylYsCDe3t706tXrb49l2rRpzJ8/nxUrVnD9+nXy5s1L+/bt8fb2fq326tevT0hIyEs3V05SuHBhunTpwsSJE4mNjaV+/fqMHj36lbNgpk6dSpEiRYiMjGT+/Pm8++67DB482HhTNUmNGjVwcXHhk08+wdLSkhYtWiTbLPp12n2VadOmMXnyZGO2uGjRokycOJGNGzcaNwfPnj07PXr0YPXq1URFRbF//37c3NxYuHAhISEhDB48mCxZsuDk5MSyZctS/YfKzs6OsLAwAgIC8Pb2xsbGxnijt0+fPhw7dgw3NzcmTpxIrly5WLRoETdv3iRPnjy0b9+eoUOHpnodDRs2JCwsjJCQEAYMGECePHn48MMPjVPoRo0axbNnz5g1axaxsbEUKlSI/v3783//93/s27fvlTMscufOzZAhQ5gxYwa3b9+mevXqBAUFGacblilThpUrVzJr1ixGjhyJubk51apVIyIigjJlyqRrTF70V2N/npeXF9mzZ2fp0qUsXrwYFxcXRo4cadzAKjUZ9d0rW7YsK1euZM6cOQwfPhwzMzPKli3LggULqFWr1kvPbd26NdHR0SxatIjVq1fj5OTE8OHDmTp1arKnIdLz3Q4ODmbmzJkEBQVx9+5d3nnnHQYPHkyfPn2AtI1tjhw5CA4OJjAwkIEDB+Lg4MCgQYNYv379K/uvWLEiS5cuZfbs2QwZMoQcOXLg7u7Oxx9/jLm5OTY2NqxcuZLAwECmTZtGdHQ0hQsXZty4cXTr1u2V7YuIiIiIiIjIP4uzszPjx48H4Pr16wQFBREXF8fs2bNTfPj8+vXr/PDDDwBs3ryZPn36pDgzJEnPnj3ZunUrEydOpEaNGsmOx8fHm+xDa2ZmhoWFxV+8KlNWVlYsWbKEe/fuERwcTMeOHVm3bh358uXj2bNnREdHG19D4v2Rxo0bs3z58te+1yuZh5khtd2s5bWFhISwZs0a9uzZk2wpqOeNGjWKY8eOsWPHjjcSh4eHBxYWFixZsuSNtC+SGWzatAknJyeKFCliLFu5ciVTpkzh0KFDxr10IO3f7f8yg8HArVvp3wBe/vm0oWfmpzHO/DTGmZvGN/PTGGd+GuPMTeP798mXz+61zvv55gPGR53O4GjSblK98lTMl+PVFVOR0n3AW7du0bJlS6ytrYmMjDRZoiohIYHu3bvzf//3f4wdOxYfHx/at2+Pn5+fSbvu7u64uroay3/99Vfat2/P+++/z7Bhw3Bzc2Pq1Km0bdsWDw8PDh8+bDy3Ro0aLF++3KS9y5cv07BhQwICAkyW7Upy6NAhPvroI1auXGlcYj01ly9fplGjRgwdOpR+/fpRvXp1SpcuzcqVK03qtWvXjoIFCxIaGpqsjRevTzK3tzYzJDOKjIzkt99+Y+XKlcanr0Xkn23dunUEBwczZMgQ8uXLx++//05QUBCtWrUyJkL03RYRERERERGRf5u8efMyfvx4hgwZgp+fH4GBgcZjYWFhHD58mNDQUBo1asSRI0dYtWoVDRo0oFGjRqm2WbZsWfr06UNYWFiy/WwnTpxIdHS08XVal75Ki61bt+Lg4ICTk5OxrFChQtjb23Pjxg0AihQpQmxsbLJznz17puXABXhLG6hnVr/++iurV6+mefPmWmZG5F8iICCAKlWq4O/vT48ePVi0aBEeHh5MnjzZWEffbRERERERERH5N2ratCl169Zl06ZNxlkbR48eJSwsjI4dOxoTHyNHjqRo0aKMHTuWmzdvvrTN/v37U6pUKaZPn25SXrx4cZycnIw/GbkvdGhoKAEBASZlp06d4t69e8al9evWrcupU6f4448/jHUuXbrEuXPnXjnLRP4bNDMkA40ePZrRo0enuf60adPeYDQkm4YmIsnlyZOHqVOnvrROer/bIiIiIiIiIvLvUsw+O5PqlX+r/b8po0ePpmXLlkyZMoWlS5cyfPhwHB0d8fX1NdbJli0bAQEBdOnSBV9fX8LDw1OdTWFtbY2/vz+dOnV6YzG/aODAgQwZMoTRo0fTokULrly5wty5cyldujRt2rQBoHv37kRGRuLl5cWQIUOwtLRkzpw55M+fn/bt2/9tsco/l5IhIiIiIiIiIiIi8p9mY235l/bs+CcrXrw4Hh4eLFq0iCZNmvD48WNWr15NtmzZTOpVqlQJLy8vQkNDWbFiBR4eHqm26ezsTPfu3Vm0aNGbDh9InOESGhrK/PnzGTBgANmzZ6dRo0Z8/PHHZMmSBYCcOXOyatUqAgICGD9+PAkJCdSqVYvRo0dja2v7t8Qp/2zaQF1ERDKMNlDPvLThY+anMc78NMaZm8Y389MYZ34a48xN4/v3ed0N1EUk89OeISIiIiIiIiIiIiIikqkpGSIiIiIiIiIiIiIiIpmakiEiIiIiIiIiIiIiIpKpKRkiIiIiIiIiIiIiIiKZmpIhIiIiIiIiIiIiIiKSqSkZIiIiIiIiIiIiIiIimZqSISIiIiIiIiIiIiIikqkpGSIiIiIiIiIiIiIiIpmakiEiIiIiIiIiIiIiIpKpKRkiIiIiIiIiIiIiIiKZmuXbDkBERERERERERETkbXocm8CV+7FvrX8He2uyW7/+c+seHh4cPnzYpMzMzIzs2bNTtGhRunfvTqtWrfjll1/o0KED9erVIywsLFk7vr6+bNu2jfXr1+Po6Ii7uzsPHjxg8+bNFChQwKTutWvXcHNzY+rUqbRt2zZNcUZHR9OyZUu8vb1p1aqVsdzd3Z0rV66keE6NGjVYvnw5AJcuXWL69OkcOXIECwsLXF1dGTlyJPnz/7/27jyuqmr///iLA6IICM7zbKIiiKI4ISjqdci5zCkTp5yHFAccQ8UZFRHEIYfUq6YpZZpDg1pqmpZpt9KumGM4BgKOwPn9wZfz6wSO4T16ej8fj/PIs/baa3323vYQzues9SlkNsfcuXPZvXs3t2/fpmbNmowfP54yZcqY+ly6dIlZs2Zx8OBB0xwjR46kfPnyT3Qd8nJSMkRERERERERERET+0S4l3Cfi62sWm3+Ib0FeKZjrb43h4eHBhAkTTO9TU1OJi4tj1apVjB49GldXV/z9/Rk6dChhYWFs2rSJjh07mvrHxMSwZcsW5s6dS6lSpUztiYmJTJ48mejo6L8VX1JSEgMHDuTixYuZji1atIj7982TUbt27WLFihV06dIFgDt37tC7d29sbGyYMmUKRqORsLAw3n77bTZt2kSOHDkAeOeddzh58iSjR4/G0dGRRYsW8dZbb7F9+3acnZ1JSEiga9eupKamMnr0aIoWLUpMTAxdunThww8/pGTJkn/rOuXFpWSIiIiIiIiIiIiIyEvOyckJLy+vTO1+fn7UrVuXLVu24O/vT58+fdi/fz/Tp0+ndu3alCpVijNnzhASEkKHDh1o3bq12fnOzs58+eWXfPzxx7Rp0+aZYvvqq6+YOnUqCQkJWR6vUqWK2fvLly+zadMmunXrRsuWLQE4duwY586dY+3atdSqVQsAFxcXAgMD+f777/Hx8eHo0aPs27ePZcuW4efnB0DNmjVp3Lgx69ev5+2332bLli3ExcWxadMmPD09AfD19aVTp04sWLCAsLCwZ7pGefGpZoiIiIiIiIiIiIiIlcqZMyf29vbY2NgAYDAYmDVrFgaDgdGjR3Pv3j1GjBhB4cKFmThxYqbzmzZtSvXq1QkNDeXGjRvPFEPfvn3x8PBg2bJlT9R/5syZ5MqVixEjRpja7t27B4Cjo6OpLW/evADEx8cDcODAARwdHalfv76pT758+ahVqxb79+8H4OzZs+TPn9+UCIH0LcW8vb3Zt2/fM12fvByUDBERERERERERERF5yRmNRlJSUkyve/fucebMGYKDg0lOTjar0VG8eHEmTpzI999/T+fOnYmNjWXBggXkzp0707gGg4HQ0FDu3LnDlClTnim2jz/+mLCwMPLly/fYvsePH2fXrl2MGDECJycnU7uvry/ly5dn7ty5XL58md9//505c+ZQsGBB6tWrB0BsbCylS5fG1tbWbMxSpUpx9uxZodp3lQAAc35JREFUAIoWLcqtW7dISkoy63Px4kUSExNNiRWxPkqGiIiIiIiIiIiIiLzkvvnmG9zd3U0vT09PXn31Vf773/8SHh5Oo0aNzPq3a9eOhg0b8tNPP9GnTx8qVar00LHLly/P4MGD2blzJ3v27Hnq2CpWrPjEfZcvX07x4sUzbcmVM2dOpk2bxn/+8x8aNWpEw4YNOXHiBEuXLjUlTZKSkswSKBkcHR1NyY8WLVpga2vL8OHDiY2NJT4+nrVr15pWjty5c+epr09eDkqGiIiIiIiIiIiIiLzkPD092bx5M5s3byYyMpKKFStStmxZ5s+fT/PmzTP1v3LlCsePHwdg+/bt3L59+5Hj9+rVC3d3d0JCQrKs/ZGammq2MiU1NfWpryEuLo7PP/+cwMBA7OzMy10fPnyYHj16ULVqVZYuXUp0dDSVK1emT58+nDlzBkhfHfMwBkP6R+FlypRh4cKFnD59mhYtWlC7dm127dpFv379AMiV6+8VspcXl5IhIiIiIiIiIiIiIi85R0dHPDw88PDwoEmTJqxcuZKEhAR69erFzZs3zfqmpaURFBSEwWBg3rx5nDt3jtDQ0EeOb2dnx/Tp04mPj2f69OmZjgcGBpqtTAkMDHzqa9i9ezcGg4FWrVplOrZkyRKKFSvG4sWL8ff3p1GjRixbtgwHBwfCw8OB9CLyycnJmc5NTk42WzHi7+/Pvn37+Oyzz9i7dy9r1qwhLS0Ng8FAnjx5njpueTnYPb6LiIiIiIiIiIiIiLxMChQowKRJkxg2bBihoaGEhYWZjkVFRXHkyBEiIyNp0qQJ3377LevXr6dRo0Y0adLkoWNWqlSJvn37EhUVhbe3t9mxkJAQs0TEnwudP6m9e/fi4+OTZW2RS5cuUbVqVezt7U1tOXPmxNPTk19++QWAsmXLcujQIYxGo6lgPMC5c+coW7YsAJcvX+bAgQO0b9+ekiVLmvr89NNPuLm5Zao3ItZDK0NERERERERERERErFDz5s1p0KABn3zyCUeOHAHg6NGjREVF0alTJ1PiY8yYMZQpU4YJEyZw7dq1R445YMAAXnnlFWbNmmXWXq5cOdPKFA8PD8qVK/dUsRqNRk6cOJEpyZKhbNmynDhxggcPHpja7t+/z3/+8x+KFy8OpBdZv3XrFgcPHjT1uXnzJkePHjUVWb9+/ToTJkzg6NGjpj6xsbHs37//kYkgeflpZYiIiIiIiIiIiIj8oxV3sWeIb0GLzv+8jBs3jjZt2jBt2jRWr15NUFAQpUqVIjg42NTHwcGB2bNn07VrV4KDg1m2bJnZyoo/s7e3Z/r06XTu3Dlb47x8+TKJiYmUL18+y+MDBw6ka9eu9O/fn+7du5OWlsbatWu5fPkyM2bMAKBWrVr4+PgwYsQIgoKCcHV1JSIiAmdnZ7p06QJA1apV8fLyYvLkyYwaNYqUlBRmz55N0aJF6dGjR7Zek7xYlAwRERERERERERGRf7Tc9gZeKWidhbPLlStH9+7dWbFiBc2aNeP27dts2LABBwcHs37VqlWjX79+REZGsnbtWrp37/7QMT09PenRowcrVqzItjhv3LgBgIuLy0PnXLNmDQsWLGD48OHkzJmTqlWrsmHDBqpWrWrqt2jRImbOnMns2bNJS0vD29ubBQsWmMY1GAxEREQQGhrKuHHjMBgMNGjQgKCgIJydnbPteuTFY2M0Go2WDkJERKyD0Wjk+vUkS4chz4GLS/oPyQkJdywciTwvesbWT8/Yuun5Wj89Y+unZ2zd9Hz/dwoW1IfZIpI11QwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNTtLByAiIiIiIiIiIiJiSffvp/FHQorF5s/rYoe9ffZ8b33o0KHs2rWLkJAQOnfubHase/fuHDlyxKzN2dmZKlWqMHjwYHx8fDKN98MPP/D+++9z9OhR/vjjDwoXLkyDBg3o168fhQsXfurYnJ2dCQ0NNWv/5ZdfmDNnDseOHSNnzpz4+/szcuTIx44fERHBokWLMrU7ODhQuHBhmjdvzpAhQ7CzsyMpKYl27dqRmprKxx9/jLOzs9k5W7duZezYscyfP5+WLVsyduxYtm7dypIlS2jYsGGmOZo2bYq3tzczZ858qnsglqNkiIiIiIiIiIiIiPyj/ZGQwhf7Eyw2f4CfC4UL2v/tcf744w+++OILKlasyMaNGzMlQwA8PDyYMGECAKmpqfzxxx9s3LiR3r17s2XLFl555RVT39WrVzNr1izq1avHqFGjKFiwIGfOnGH58uXs3r2btWvXUqZMmcfGZTQamTNnDrt27eL11183O3b+/Hm6detGgQIFmDJlCi4uLqxatYouXboQExNDnjx5Hjm2ra0t//73vzPdh08++YTo6GhSUlIYNWoUTk5OzJ49mzfffJOQkBDmzp1r6n/mzBmmTJnCG2+8QcuWLc3Gmjx5Mtu3b8fJyemx1ykvNm2TJSIiIiIiIiIiImIFtm3bRs6cOQkKCuKnn37ixIkTmfo4OTnh5eWFl5cX3t7eNGnShIiICOzs7NiyZYup37Fjx5g5cyY9evRg+fLltGrVitq1a9O1a1fWr19PSkoK77777mNjOnPmDL1792bt2rXkypUr0/H333+flJQUVq5cSZs2bfD39yc6Ohqj0cjy5cuf6Lozrifj1ahRI8LCwvDy8jK7pho1atC3b1+2bdvGjh07ALh79y7Dhw+nWLFijBs3zmzc3Llzc/36da3+sBJKhoiIiIiIiIiIiIhYgS1btlC/fn0aNGhAoUKF2Lhx4xOdlzNnTnLlyoWNjY2p7b333sPV1ZXhw4dn6l+4cGHGjh1L3bp1SUl59PZi7777LklJSWzcuJH8+fNnOn727FkqVqxIsWLFzOLx8PBg3759TxT/wzg5OZldE8DgwYOpWrUq7777LlevXmXGjBmcO3eO+fPn4+DgYNa3QIEC9OrVi02bNnHo0KG/FYtYnpIhIiIiIiIiIiIiIi+5n3/+mZ9//pm2bdtiMBho27YtO3bsICkpyayf0WgkJSWFlJQUHjx4wPXr15k/fz537tzhtddeM/X5+uuvqVu3Ljlz5sxyvnbt2tGvXz/s7B5diWHixIl88MEHVK5cOcvjRYsW5cqVK5mSKhcvXuTChQtPdO0Z15OSksL9+/e5cuUKS5cu5cCBA7Rt29asb44cOZgzZw7379/n7bffZsOGDQQHB1OxYsUsxx48eDBly5ZlwoQJ3L59+4nikReTkiEiIiIiIiIiIiIiL7kPP/yQ/Pnz4+/vD0D79u25ffs2H330kVm/b775Bnd3d9zd3alatSr169dnyZIlDB48mPLlywPpNTfu3btntlrjWT0syZChXbt2XL16lfHjx3P58mVu3LjB/Pnz+fXXX7lz585jx09NTTVdj7u7Ox4eHvj5+bF+/XqGDh3KiBEjMp1Trlw5hgwZws8//0zNmjXp0qXLQ8fPmTMn06dP5/Lly8ybN+/xFywvLBVQFxEREREREREREXmJ3b9/n23bttG8eXPT6oWCBQvi7u7Oxo0b6datm6mvp6cnkyZNAtJXgPzxxx/s3LmTOXPmYG9vz1tvvYWtrS2Qnmh4EmlpaaSlpZm1PW7FSIaaNWsyffp0ZsyYQUxMDDY2NjRt2pQuXbqwadMmUxxGo9F0jo2NjSlGW1tb03Zgd+7cYdWqVRw5coSJEycSEBCQ5Zypqal89tlnAJw4cYJffvmFSpUqPTTGGjVq0K1bN9atW0eLFi3w9vZ+omuTF4uSISIiIiIiIiIiIiIvsS+//JL4+Hg2bNjAhg0bMh0/fvw4Xl5eADg6OuLh4WF23N/fn7i4OMLDw+nWrRsuLi44Ojpy+fLlh86Zsf2Wk5MTkZGRLFq0yOz4qVOnnjj+Dh060LZtW86fP4+zszMFChQgODgYV1dXAAIDAzly5Iipv4+PD2vWrDG9//P11KxZk8DAQIYOHcqqVauoWbNmpvkiIiL4/vvvmT9/PiEhIYwaNYrNmzc/dEswgBEjRvDll18yfvz4TKtt5OWgZIiIiIiIiIiIiIjIS2zLli2UKVOGKVOmmLWnpKTQv39/Nm7caEqGPEzlypU5ePAgN2/epGDBgvj6+nL48GHu3buXZZJg1apVREVF8emnn/LGG2/QsGHDZ4r9zJkz/Pjjj7Rt25ayZcua2n/66SeqVKkCQEhICMnJyaZjjo6ODx3PYDAwY8YMXn31VcaOHcv27dvN4j98+DBLliyhR48etGzZEoB33nmHuXPnMn78+IeOmzt3bqZNm0ZgYCALFy58pmsVy1LNEBEREREREREREZGX1NWrV/nqq6949dVXqV27ttmrfv36NGrUiB07dnDr1q1HjnPy5ElcXFzIly8fAD179iQ+Pp7w8PBMfS9fvsy6devw9PSkdOnSFC5cGA8PD7PXkzp9+jSjR482K5b+zTff8Msvv9CkSRMgvcbHn8cuV67cI8csXrw4AwcO5MKFCyxbtszUfvPmTYKCgnjllVcYOXIkAC1btqR169asWbOGAwcOPHLcunXr0rFjR1auXMn169ef+BrlxaCVISIiIiIiIiIiIvKPltfFjgA/F4vO/6w++ugjUlNTefXVV7M83q5dO3bt2mXa2ikpKYnjx4+bjt+9e5dt27Zx5MgR3nnnHVMtjurVqzNo0CAWLVpEbGwsbdu2xdXVlV9++YX33nsPg8HAnDlznjnuDP7+/pQoUYIRI0YwZMgQbt68yYwZM6hWrRpt2rR55nEDAwPZvHkzy5Yto3379hQvXpxx48aRkJDAe++9h729vanvpEmTOHr0KGPHjuXjjz8mb968Dx13zJgx7N+/nytXrjxzbGIZSoaIiIiIiIiIiIjIP5q9vYHCBe0f3/EFtGXLFipVqkT58uWzPO7n50e+fPnYuHEjefPm5eTJk3Tq1Ml03MHBgbJlyzJx4kTefPNNs3OHDBmCu7s769atIzQ0lFu3blG0aFGaN2/O22+/TaFChf52/Llz52b58uWEhobyzjvv4ODgQMuWLc0SM8/C3t6ecePG0a9fP2bNmoW3t7ep5kfFihXN+ubJk4cZM2bQs2dPJk2aRERExEPHdXZ2JiQkhP79+z9zbGIZNkaj0WjpIERExDoYjUauX0+ydBjyHLi4OACQkHDHwpHI86JnbP30jK2bnq/10zO2fnrG1k3P93+nYEFnS4cgIi8o1QwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERE5B8t5X4aCXH3LfZKuZ/2t+Lv3r07bm5uZq9KlSpRo0YNOnTowEcffQTAzz//TNWqVRk4cGCW4wQHB1OjRg3Onz8PQEBAADVr1uTKlSuZ+sbFxeHm5saWLVseG9/hw4fp3Lkz1atXp3HjxsyfP5/79++b9Tlx4gTdu3enRo0a1K9fn2nTppGUlPTQMX/88Ufc3d1N15bh5s2bBAcH4+vri4+PD/369eO33357bIxi/ewsHYCIiIiIiIiIiIiIJSXfTOHH3QkWm7/qv1xwKWL/t8bw8PBgwoQJpvepqanExcWxatUqRo8ejaurK/7+/gwdOpSwsDA2bdpEx44dTf1jYmLYsmULc+fOpVSpUqb2xMREJk+eTHR09DPFderUKXr37k3dunWJiIjgt99+IywsjFu3bjF58mQAYmNjCQwMpHr16oSHh3P9+nXmzp3LuXPnWLZsWaYx79+/z9ixY0lJSTFrNxqNDBo0iPPnzzNq1ChcXV1ZuHAhb731Ftu2bcPFxeWZrkGsg5IhIiIiIiIiIiIiIi85JycnvLy8MrX7+flRt25dtmzZgr+/P3369GH//v1Mnz6d2rVrU6pUKc6cOUNISAgdOnSgdevWZuc7Ozvz5Zdf8vHHH9OmTZunjmv79u3kyJGDhQsX4uDggK+vLzdu3GDZsmWMGzeOHDlysHbtWnLlykVkZCS5cuUC0hMbwcHBnD9/3iw5A7BgwQISExMzzfXbb7/x3XffMWvWLNq1awdA+fLladKkCV988QXt27d/6vjFemibLBERERERERERERErlTNnTuzt7bGxsQHAYDAwa9YsDAYDo0eP5t69e4wYMYLChQszceLETOc3bdqU6tWrExoayo0bN556/nv37mFnZ2dKcgC4urry4MEDkpOTAejfvz/vvfeeWZ8cOXKYzv+z7777jrVr1zJp0qQs5wJwdHQ0tWWsBomPj3/q2MW6KBkiIiIiIiIiIiIi8pIzGo2kpKSYXvfu3ePMmTMEBweTnJxM27ZtTX2LFy/OxIkT+f777+ncuTOxsbEsWLCA3LlzZxrXYDAQGhrKnTt3mDJlylPH9dprr5GamsrcuXOJj4/nxx9/ZNWqVfj7++Pq6gpAoUKFqFy5MgC3b9/m4MGDzJ8/nxo1avDKK6+Yxrpz5w7BwcH069cPNze3THNVqlSJ2rVrExkZyZkzZ7h58ybTpk0jd+7cNGnS5KljF+uibbJEREREREREREREXnLffPMN7u7uZm02Nja4ubkRHh5Oo0aNzI61a9eOTz/9lL179zJw4EAqVar00LHLly/P4MGDCQsLY8+ePTRt2vSJ46pYsSIjR45k2rRpLF++HEhPWsydOzfL/vXr1+f27du4urpmWqkSFhZG7ty56devH3FxcVme/+6779KnTx9atmwJgL29PZGRkZQsWfKJYxbrpJUhIiIiIiIiIiIiIi85T09PNm/ezObNm4mMjKRixYqULVuW+fPn07x580z9r1y5wvHjx4H0uh63b99+5Pi9evXC3d2dkJAQEhIyF5tPTU01W5mSmpoKwNKlS5kyZQpvvvkmq1evZtasWSQlJdGnTx/u3LljNkZaWhoREREsXryYsmXL8uabb3L69GkADh8+zMaNG5kxYwZ2dll/x//MmTN06tSJvHnzEhkZyXvvvUejRo0YOnQoR48efew9FOumZIiIiIiIiIiIiIjIS87R0REPDw88PDxo0qQJK1euJCEhgV69enHz5k2zvmlpaQQFBWEwGJg3bx7nzp0jNDT0kePb2dkxffp04uPjmT59eqbjgYGBuLu7m16BgYGkpKQQFRVF+/btGT9+PHXq1KFdu3YsW7aMEydO8OGHH5qNYTAY8PX1JSAggGXLlmFra8uaNWtITk4mODiYvn37UqFCBVJSUkhLSwPStwfLSLysWrUKgBUrVtCkSRN8fX0JDw+ncuXKWcYs/yzaJktERERERERERETEyhQoUIBJkyYxbNgwQkNDCQsLMx2LioriyJEjREZG0qRJE7799lvWr19Po0aNHllbo1KlSvTt25eoqCi8vb3NjoWEhJgKokN6cubmzZvcuXOHGjVqmPUtV64c+fPn59dffwVg//792NvbU6dOHVMfZ2dnSpYsydWrV/nxxx+5dOkSkZGRREZGmo01ZswYFi5cyBdffMHly5cpX768qWg6pG8V5u3tzfvvv/8Ud0+skZIhIiIiIiIiIiIiIlaoefPmNGjQgE8++YROnTrh4+PD0aNHiYqKolOnTqbEx5gxYzh06BATJkygWrVqFCxY8KFjDhgwgD179jBr1iyz9nLlymXqm5qaiouLC8eOHeONN94wtZ8/f54bN25QvHhxAP79738TGxvL9u3byZEjBwBxcXGcOXOG+vXr4+7uzubNm83GvnbtGgMGDGDo0KGm6yhbtixbt27l1q1b5MmTx9T3hx9+MM0l/1zaJktERERERERERETESo0bN44cOXIwbdo0/vjjD4KCgihVqhTBwcGmPg4ODsyePZvExESCg4MxGo0PHc/e3p7p06dnqveRFVtbWwYNGkRMTAzTpk3j0KFDfPTRR/Tp04dChQqZEiT9+vXj8uXLDB06lK+++opt27YRGBiIi4sLgYGBODk5mbYAy3hVrFgRgBIlSuDm5gakb9Vla2tLr1692L17N/v372fkyJEcOXKEIUOG/J3bKFZAK0NERERERERERETkH80xnx1V/+Xy+I7Pcf7npVy5cnTv3p0VK1bQrFkzbt++zYYNG3BwcDDrV61aNfr160dkZCRr166le/fuDx3T09OTHj16sGLFisfO36NHD/LkycOKFSvYsGEDBQoUoG7duowYMQJXV1cAqlevzqpVq1iwYAHDhg3Dzs4OX19fRo0aRf78+Z/4WkuUKMH69euZO3cuwcHB2NjYULFiRVauXEm9evWeeByxTjbGR6X5REREnoLRaOT69SRLhyHPgYtL+g/JCQmP/+aPvJz0jK2fnrF10/O1fnrG1k/P2Lrp+f7vFCzobOkQROQFpW2yRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhojIS8VayhxZy3WIiIiIiIiIiIi8DJQMEYvr3r07bm5udOvW7aF9unbtipubGxEREU887sWLF3Fzc+Ojjz56Lv3/LCIigipVqjz1edZqzZo1+Pr64unpydKlS7NlzPv37zNz5ky2bduWLeNZypUrV+jXrx+XLl0ytQUEBDB+/PjnPvff+TsuIiIiIiIiIiLyMlMyRF4INjY2fPfdd1y7di3Tsbi4OL777jsLRCXP4vbt28yYMQMPDw/ee+892rRpky3j3rx5k5UrV5KSkpIt41nKN998w969ey0yd6FChdi4cSMNGjSwyPwiIiIiIiIiIiKWomSIvBCqVq2KnZ0du3fvznRs586dvPLKK9ja2logMnlaiYmJpKam0qRJE2rVqkWRIkUsHZL8H3t7e7y8vMiXL5+lQxEREREREREREfmfUjJEXghOTk74+vqyc+fOTMd27NhBixYtMrXHx8czdepUAgIC8PDwoEOHDlkmUzL6enh4EB4ebtaemJiIp6cn69atM7XFxcXRu3dvPD09ady4MStXrjQ75969e8yYMYP69etTvXp1goODuXfvXqY59+zZQ4cOHfDw8MDX15dZs2Zx//590/GIiAiaN2/O559/TuvWralatSrNmjUz28Joy5YtuLm5ERcXZzb2n7dVytj6aPfu3bz99tt4eXnh5+fHxo0buXr1KoMHD8bLywt/f39WrVqV5f35s5iYGNq1a0e1atUICAhg4cKFpKammo4fP36cnj17UqtWLWrVqsWwYcO4ePGiKV4/Pz8Axo0bh5ubGwCpqaksWbKEVq1a4enpiZeXF126dOHw4cNmc2eMXaNGDerWrcvo0aO5ceMGFy9exN/fH4Dg4GACAgJM5+zbt4/OnTtTvXp16taty4QJE/jjjz8y3eeFCxdSq1Yt/Pz8SE5OzvLaV69eTfPmzfHw8KBBgwa8++67JCUlATB06FACAgIy1foYMWIEr732GpC+5dukSZOIjo7G398fDw8POnfuzMmTJ033Z/To0QA0btyYsWPHmsZ58OABM2fOpF69enh5edG7d28uXLhgNte3335Lt27dqFatGrVr12bChAncunXLdDwtLY358+cTEBBA1apVCQgIYN68eTx48ADIvE3W4/qLiIiIiIiIiIhYCztLByCSoUWLFowdO5YbN26QP39+AC5dusSJEyeYM2cOixYtMvW9c+cOXbt25datWwwbNoxChQqxbds2hgwZwqxZs2jXrp3Z2K6urgQEBLBt2zaGDRtmat+xYwdGo5FXX33V9KF3eHg4r7/+OoGBgXz99dfMnDmTlJQU+vbtC8CoUaP46quveOeddyhdujQbN27MVMdi27ZtBAUF0a5dO4YPH8758+eZN28eFy9eNKt7cuXKFUJDQxk4cCDFihXjvffeY8yYMVSrVo0yZco81f2bMGECPXr0oGfPnqxcuZKQkBBWrlxJixYt6NatG//+97+ZMWMG3t7eeHh4ZDnGunXrmDJlCp06dSIoKIjY2FjmzJnD3bt3GT16NAcOHKBv377Ur1+fWbNmkZycTEREBJ07dyYmJoaGDRuyePFiBgwYwIABA2jYsCEAs2fP5oMPPiAoKIhXXnmFK1euEBkZybBhw/jyyy9xcHDgp59+4s0336RGjRrMnj2b+/fvM3fuXPr378+6devMxv3Xv/4FwIcffsi4ceNo27YtAwcOJC4ujvDwcH744Qc++OADHBwcALhw4QIHDhxgwYIF3Lp1C0dHx0zX/sknnzBnzhzGjBmDm5sbsbGxzJo1y5T8eu2119i1axdHjx6lVq1aACQlJfHZZ58xZswYs79TFSpUYOLEiRiNRmbNmsWwYcP47LPPaNiwIUOGDCEiIoJFixaZkkUZf2caNGjArFmzuH79OjNmzGDkyJF88MEHQHoipGfPntSrV4/w8HBu3LjB/PnzOXXqFOvXr8fOzo5ly5axfv16xo4dS4kSJfjhhx+YP38+9vb2DB48ONM1P23/J+Xi4vDM58qLy84ufXWenq/1srOzzZTwFREREREREbEWSobICyMgIABbW1v27NlD586dAfj000+pUqUKpUuXNuu7ZcsWzpw5w6ZNm/D09ATA39+fhIQE5syZQ+vWrTON/9prr7Fz506OHTuGt7c3kL4KolGjRri6upqSIf7+/kyZMgWABg0acPXqVZYvX06vXr2IjY1l165dhISEmGJs0KABrVu35uzZswAYjUbmzp1Lo0aNmDVrlmn+IkWKMGjQILP5b9++zeLFi6lTpw4AZcqUoVGjRuzbt++pkyEBAQEMGjQIAGdnZ/bt24enp6cp+VOpUiV2797NDz/8kGUyJC0tjcjISJo1a2a6fl9fX27dusWBAwcwGo3MmzeP8uXLs2TJEgyG9IVl3t7eNGvWzJTIySgkX6pUKby8vAC4evUqI0aMoFu3bqb5cubMyZAhQ/j111/x9PQkOjqa/Pnzs3z5cuzt7YH0JNakSZP4/fffzcatUqUKaWlpzJs3j4YNGzJ79mzTuG5ubrzxxhts2bLFNF9KSgrBwcGmeLJy5MgRSpQoQbdu3TAYDPj4+JA7d24SEhJM96Jw4cJ89NFHpmTIp59+akqmZUhNTWX58uU4OTkBkJyczJgxYzh9+jSVKlWiZMmSAFSuXJkSJUqYzitatCiRkZHkyJEDgHPnzrF48WLu3LmDg4MDYWFhlC9fnujoaNO9r1KlCu3bt2fHjh20adOGI0eOULVqVTp06ACAj48PDg4OODs7P/San6b/kzqVcONvnS8illHWJS+57XJYOgwRERERERGR50LJEHlhODk50aBBA3bu3GlKNOzYsYOWLVtm6vvtt99SunRpUyIkQ+vWrdm/fz+xsbGmVQEZfH19KVKkCB9//DHe3t6cP3+e7777jiVLlpj1a968udn7xo0bs2PHDs6cOcOxY8dMbRkMBgPNmjUjOjoagNjYWOLi4hg0aJBZse8GDRqQI0cODh48aEqGANSoUcP054z6Gnfu3HnM3crsz/eiQIECAFSrVs3UljdvXgCzbZX+7OzZs9y4ccO06iLD4MGDGTx4MLdv3+Y///kPw4YNM30YD1CsWDFq1qzJkSNHHhrb/PnzgfQi6LGxsZw7d44vv/wSwLQl07Fjx2jcuLEpEQJQr149PvvsM4BMW4WdPXuW69evmyUiMq65dOnSHD582Cz5Urly5YfGB1CnTh02btxIhw4daNKkCf7+/rRu3RobGxsAbG1tadeuHevXr2fSpEnY29uzdetWUzItg5ubmykRAlC4cGEgPfH1KF5eXqZECGBKlGQ8rx9++IG3336btLQ00tLSAHjllVcoVqwYBw8epE2bNtSuXZuwsDC6du1KQEAADRs25M0333zonE/b/0mkGY0E7/vsb40hIpYxw78J7vkLWToMERERERGLSLuXxv1rKY/v+JzYF7TDkFMVDUSeJyVD5IWSsVXWzZs3SUpK4qeffjLbHitDQkKC6QP/P8toS0xMzJQMMRgMtGvXjg0bNjB+/HhiYmIoWLAgDRo0yHKMDBlbdiUmJppWCfy1AHXBggVNf46Pjwdg4sSJTJw4MVOMV69eNf3Z1tbW7MP/jCRDxofdTyOrrZ/+eg8eJSPujOv9q8TERIxGY5b3PX/+/Fy+fPmhY588eZKQkBBOnjyJg4MDFSpUoFixYgCmLVni4+OfqrB3Rrx/vvd/jidjpQ+k3+ecOXM+cryWLVuSlpbGv//9b6KiooiIiKB48eIEBQWZEnIdOnRgyZIlfPHFF7i7u2eZTMuVK5fZ+yd9pln9fYX0+3Pr1i3S0tKIjo42Jd3+LOPvVJ8+fXB0dOTDDz9k7ty5zJkzh1deeYUJEyaYVh/92dP2FxEREREREbFW96+lELf5psXmL/J6PnKVsH98x4fo3r17pi+q2tjYkDt3bsqUKUOPHj1o27YtP//8Mx07dsTPz4+oqKhM4wQHB7Nr1y5iYmIoVaoUAQEB3Lp1i+3bt5u+8JkhLi4Of39/ZsyYYdp14nGSk5Np06YNQ4cOpW3btmbH/vOf/7BgwQJOnjyJ0WikatWqBAUFmX3BNTk5mblz57J7925u375NzZo1GT9+vNkOK5cuXWLWrFkcPHgQSN8JY+TIkZQvX97U5/79+0RFRfHxxx9z48YNKlWqxJAhQ/D19X2i65CXk5Ih8kJp1KgRtra2fP7559y8eRMvLy/Th+Z/lidPHn7++edM7RkfCmesgvirDh06EB0dzaFDh/j0009p06YNtra2Zn0yEh4Zrl27BqR/wJ4x7vXr183+Acj4YB4wbTEUHBxstgIkw8Niy0rGqoQ/FzAHHloA/O/IiPvmTfN/+K9fv27aysrGxobr169nOvfatWsPva6kpCT69OlD5cqV2b59O+XKlcNgMLBv3z527dpl6ufk5JRp7rS0NPbv35/ltl4uLi6mubOK58+rYp5Uq1ataNWqFYmJiXz99dcsW7aMUaNGUatWLQoWLEiZMmXw9vbm008/5fz58xQoUOB/8o+ko6MjNjY29OrVixYtWmR5HNITKN26daNbt27cuHGDffv2ER0dzdChQzlw4ECm8x7X/88rVZ6UwcaGDW06Pv1FiojFOdjZ8X//7IiIiIiIyEvIw8ODCRMmmN6npqYSFxfHqlWrGD16NK6urvj7+zN06FDCwsLYtGkTHTv+/9/hY2Ji2LJlC3PnzqVUqVKm9sTERCZPnpzlFzSfRlJSEgMHDuTixYuZjp07d44333yTqlWrEhoaio2NDStWrKBr167ExMSYttB/5513OHnyJKNHj8bR0ZFFixbx1ltvsX37dpydnUlISKBr166kpqYyevRoihYtSkxMDF26dOHDDz80bV8+depUPvnkE0aOHEm5cuWIiYmhX79+rF27lurVq/+t65QXl5Ih8kLJ2Cpr165d3Lx5M1Mh9Aw+Pj7s3LmTEydOmG0PtX37dgoWLEjp0qWzXKlQunRpatWqxfLly4mNjTUrZp7hq6++Mtuaa+fOnRQuXJjSpUubkhM7d+6kR48epj4ZWz4BlC9fnnz58nHp0iUCAwNN7RcvXmT8+PH06tXLrFbE4+4HwO+//07x4sUBOHPmjFnyJbuUK1cOV1dXvvjiC7OtpzZu3Mjy5cv55ptvcHd3Z8eOHfTr18+0cuH333/nu+++o3v37lmOGxsbS3x8PIGBgVSoUMHUvn//fuD/rwzx9vbm66+/5sGDB6YP4b/77jv69evHunXrzP4Rzoi3QIECbN++nTZt2pjaT5w4wYULF+jZs+dTXf/IkSO5e/cukZGRODs706JFC3LkyMGgQYO4fv26aQXKa6+9xrRp07hw4UKWybTHedr+kP73oEqVKvz2229miaGkpCSGDRtGq1atKFeuHF27dqVKlSpMmDCB/Pnz06FDBxITE5k+fXqWW689rv+zJEMAziYkPtN5ImJZZV3y4JhDPxqKiIiIiLysnJycsqyX6ufnR926ddmyZQv+/v706dOH/fv3M336dGrXrk2pUqU4c+YMISEhdOjQIVMtXmdnZ7788ks+/vhjs89gnsZXX33F1KlTM30JOcPatWtxcHBgyZIl5M6dG0jf0jwgIIC1a9cyfvx4jh49yr59+1i2bBl+fn4A1KxZk8aNG7N+/XrefvtttmzZQlxcnFmdYV9fXzp16sSCBQsICwvj+vXrfPjhhwQFBZm2C69Tpw7Hjh3j3//+t5IhVky/8coLJ2OrrLS0tEz1OzK0b9+eNWvWMHDgQIYNG0bhwoX55JNP2L9/P9OmTTOrafFXHTp0IDg4GA8PD7MP5zN8+umnFClSBB8fH3bt2sXnn3/OzJkzsbGxoXTp0nTq1ImwsDDu379PpUqViImJ4dSpU6bzbW1tGT58OCEhIRgMBvz8/IiPjyciIoLExERTIfAnUbt2bXLlysX06dMZNmwYycnJLFy40KxGRXaxs7Nj8ODBhIaGkjdvXgICAjh9+jRLly6ld+/e5MyZk3feeYe+ffvSv39/unTpQnJyMhERETg5OZklfv6sbNmyODk5ERUVhY2NDQaDgV27dvHhhx8C/7+WxsCBA+ncuTP9+/fnzTff5Pbt28ybNw8fHx9q1KjB3bt3sbGx4dChQ5QvX55q1aoxfPhwJkyYwOjRo2nVqhVXrlwhPDycsmXL0r59+6e6/jp16jBhwgRmzZqFn58ft27dYtGiRZQtW5aKFSua+jVv3pxp06bxn//8x6xw+5PKWIGzZ88e/Pz8zJZoPsqwYcPo378/Y8eOpWXLlty/f59ly5Zx+vRpxowZA6QnCZctW0aBAgWoXr06V65cYeXKldStW5c8efJkqhfzuP7PIs1oZPy+Q890rohYVqh/XdzzP/l2hSIiIiIi8nLImTMn9vb2pi/5GgwGZs2aRZs2bRg9ejSrV69mxIgRFC5cOMst35s2bcrZs2cJDQ2lfv36D91i/VH69u3Lq6++So8ePcxWo2QoX748vXr1MiVCAHLnzk2RIkW4cOECAAcOHMDR0ZH69eub+uTLl49atWqxf/9+3n77bc6ePUv+/PnNvjxtY2ODt7c3mzZtAtJ3G9m0aZPZl5UNBgN2dnbcu3fvqa9NXh5KhsgLJ2OrrOrVq1OoUNaFXHPnzs3atWsJCwtj7ty53Llzh4oVKxIREZGpAPhfNWzYEOChexkGBwfzySefsHz5cooWLcqsWbPMVqhMnjyZAgUKsGbNGhISEmjQoAH9+/c3W2XSqVMnnJycWL58Of/+979xcnKiVq1ajBgxIssaFw+TJ08eIiIiCAsLY9CgQRQvXpzBgwcTExPzxGM8je7du+Pg4MCKFSvYsGEDxYoVY+jQoaZVFr6+vrz33nssXLiQYcOG4eDgQL169QgKCnros3J2diYqKorZs2czdOhQHB0dqVy5MmvXrqVv374cO3YMf39/qlatyurVq5k/fz7Dhg0jT548BAQEMHLkSAwGA7lz56Znz55s2LCB/fv3c+DAATp27Eju3LlZtmwZAwcOxMXFhcaNG/POO++Y/eP5JDp27Mi9e/dYv349//73v8mVKxd169Zl9OjRZqs5HB0d8fHx4ebNm1km0x7Hx8eH+vXrExYWxuHDh594iam/vz/Lly9n0aJFDBkyhJw5c+Lh4cH7779vStYMGTIEOzs7PvzwQ9MKl8aNGzNy5Mgsx3za/iIiIiIiIiLy4jIajaSk/P8i8KmpqVy8eJGoqCiSk5PNanQUL16ciRMnMmbMGDp37kxsbCybNm3K8vMUg8FAaGgo7du3Z8qUKYSHhz91bB9//DEVK1bMcossgM6dO2dqO3fuHL/++qtpi/LY2FhKly6dadeNUqVK8emnnwJQtGhRbt26RVJSkmnHFUjfsSUxMZH4+HhcXV1xd3cH0rdov3LlCitWrOD8+fNm24yJ9bExZuxRI/IPERMTw+TJk/n6669N39IXeVLJycn4+fkxZswY3njjDUuH88IxGo0kP0h5fEcReeE42NlisLHhwYPUx3f+H0lJSSM5Wd/Myi4uLg4AJCRk3jpRXn56vtZPz9j66RlbNz3f/52CBZ/ts567F+9bXQF1SF8V4ebmxoABA7LcgaVfv37s3bvXtPvKXwUEBFC3bl1CQ0NZunQpYWFhLFq0iKZNmz5TAfWLFy/SuHFjZs+enamA+p/dvXuXwMBATp8+zY4dOyhSpAi9e/fm/v37rFmzxqzv/PnzWbVqFT/88AO//fYbbdu2pVatWowbN458+fLxySefMGfOHO7evcvevXspWrSo6dwVK1Ywa9YsIP3LzZMnT36mLc7l5aCVIfKPsWfPHk6ePMn69evp2LGjEiHyVC5evEhMTAxfffUVDg4OmfbPlP/vN/1wLyLZoKxLbnLYPXzbSxERERERMefp6cmkSZMATFuJp6SkMH/+fMqVK5ep/5UrVzh+/DiQXoe3b9++j9xpo1evXuzcuZOQkBB8fHwyHU9NTeXP37u3sbF5psRCUlISgwYN4uTJk4SHh1OkSBEAHvWd/owt88uUKcPChQuZOHEiLVq0ANJ36ejXrx/h4eHkypXL7Dw/Pz+qVq3Kd999R2RkJA8ePGDGjBlPHbO8HJQMkX+MS5cusXr1anx8fBg+fLilw5GXjMFgYM2aNTg6OhIWFoaDg4OlQ3ohpRlh0v6fLB2GiFiBKX5VqOjydFseioiIiIj8kzk6OuLh4QGAh4cHXl5etGnThl69erFlyxby5fv/NQLT0tIICgrCYDAwb948RowYQWhoKKGhoQ8d387OjunTp/P6668zffp03nnnHbPjgYGBZqtTfHx8Mq3ieJzff/+dfv36cfbsWebPn0+TJk1Mx5ycnLLcZis5OdlsSyx/f3/27dvHxYsXsbOzo2jRoixatAiDwZCpRmrGFug+Pj6kpKQQERHB8OHDKVy48FPFLS8HJUPkHyMwMPChRb5FHqdYsWIcPnzY0mGIiIiIiIiIiDyRAgUKMGnSJIYNG0ZoaChhYWGmY1FRURw5coTIyEiaNGnCt99+y/r162nUqJFZAuKvKlWqRN++fYmKisLb29vsWEhICMnJyab3jo6OTxXvr7/+Sq9evbh79y4rVqygVq1aZsfLli3LoUOHMBqNpmLwkF5bpGzZsgBcvnyZAwcO0L59e0qWLGnq89NPP+Hm5oatrS1Xrlzh66+/pnnz5mYxZtQRuXr1qpIhVkrJEBERyTYGG1jTuqalwxCRZ3QnJZW4F6RGR1mtChERERER+duaN29OgwYN+OSTT+jUqRM+Pj4cPXqUqKgoOnXqZEp8jBkzhkOHDjFhwgSqVatGwYIFHzrmgAED2LNnj6nWRoastuJ6UleuXCEwMBCDwcD69etNKzb+zNfXl+joaA4ePEj9+vUBuHnzJkePHqVfv34AXL9+nQkTJlCyZEnq1KkDpBde379/P/379wfg2rVrjBs3DoDXXnvNNP6BAwewt7c3JVbE+igZIiIi2epyggqoi7yMirvYk9/Bljx2L06xwJSUNEuHICIiIiL/EPYF7Sjyer7Hd3yO8z8v48aNo02bNkybNo3Vq1cTFBREqVKlCA4ONvVxcHBg9uzZdO3aleDgYJYtW2a2+sIsVnt7pk+fTufOnbMtxtDQUK5fv05ISAhJSUmmWiYAzs7OlC9fnlq1auHj48OIESMICgrC1dWViIgInJ2d6dKlCwBVq1bFy8uLyZMnM2rUKFJSUpg9ezZFixalR48eQPoKkEaNGjFz5kzu3r1L2bJl2bt3L+vWrWPo0KFmW26JdVEyREREsk2aESK+vmbpMETkGQzxLUj5/DlJSLhj6VBERERERP7nDDkN5Cphb+kwnoty5crRvXt3VqxYQbNmzbh9+zYbNmzIVA+1WrVq9OvXj8jISNauXUv37t0fOqanpyc9evRgxYoVfzu+lJQUvvjiCwAmT56c6XjdunVZtWoVAIsWLWLmzJnMnj2btLQ0vL29WbBgAS4uLkB6zdeIiAhCQ0MZN24cBoOBBg0aEBQUhLOzM5Be2H3evHlERUXx3nvvcfXqVcqUKcOUKVPo2LHj374eeXHZGI1Go6WDEBER65CaZuSdjzIXMxORF19GMuTGjSRLhyLPiYtL+i+7SnhZJz1f66dnbP30jK2bnu//TsGCzpYOQUReUFoZIiIi2cZgAzNfLW7pMETkGeS0s+Ehq+BFREREREREXnpKhoiISLZKVM0QkZeSnYsdhhzKhoiIiIiIiIh1UjJERESyjdEIX+xPsHQYIvIMAvxcKJg/h6XDEBEREREREXkuDJYOQERERERERERERERE5HnSyhAREck2NjbwWuv8lg5DRJ6BnWqGiIiIiIiIiBVTMkRERLLVnZuqGSLyMnLMZ4etaoaIiIiIiIiIlVIyREREso8RftytmiEiL6Oq/3LBuZBqhoiIiIiIiIh1Us0QERERERERERERERGxaloZIiIi2ccm/dvlIvLyccynHwtFRERERETEeum3XhERyVYO+bTo0BrZ2dkCkJKSauFI5Hkx2NlgNBotHYaIiIiIiIjIc6FkiIiIZKuEhDuWDkGeAxcXB0DP15plPGMRERERkX+itLuppFyz3O87dgUdMOSyfebzu3fvzpEjR8zabGxsyJ07N2XKlKFHjx60bduWn3/+mY4dO+Ln50dUVFSmcYKDg9m1axcxMTGUKlWKgIAAbt26xfbt2ylcuLBZ37i4OPz9/ZkxYwYdOnQAICUlhUWLFrF161bi4+Nxd3dn7NixeHp6PvYaxo8fz+bNmzO1h4eH07x5cwCioqIIDw/P1Gf06NH07t0bgOTkZObOncvu3bu5ffs2NWvWZPz48ZQpUwaAiIgIFi1a9NA4vvjiC4oXL/7YeOXlo2SIiIiIiIiIiIiI/KOlXLvDH5tjLTZ/3tfLYV/S6W+N4eHhwYQJE0zvU1NTiYuLY9WqVYwePRpXV1f8/f0ZOnQoYWFhbNq0iY4dO5r6x8TEsGXLFubOnUupUqVM7YmJiUyePJno6OjHxhAaGsrWrVsJCgqiWLFirFy5ksDAQD766CNKliz5yHN/+eUXWrRoQWBgoFl7RhIjo0/NmjUZNWqUWZ9ixYqZ/vzOO+9w8uRJRo8ejaOjI4sWLeKtt95i+/btODs707FjRxo0aGB2fnx8PMOGDaN27dpmY4l1UTJERERERERERERE5CXn5OSEl5dXpnY/Pz/q1q3Lli1b8Pf3p0+fPuzfv5/p06dTu3ZtSpUqxZkzZwgJCaFDhw60bt3a7HxnZ2e+/PJLPv74Y9q0afPQ+S9evMjGjRuZOHEiXbp0AcDX15dmzZqxfPlyQkJCHnpuamoqv/76K6+//nqW15Dh1KlTNG3a9KF9jh49yr59+1i2bBl+fn4A1KxZk8aNG7N+/XrefvttihQpQpEiRczOGzRoEK6ursydOxcbG5uHzi8vN23sLiIiIiIiIiIiImKlcubMib29velDfoPBwKxZszAYDIwePZp79+4xYsQIChcuzMSJEzOd37RpU6pXr05oaCg3btx46DzffPMNqampNGvWzNRmb29Pw4YN2b9//yNjPHv2LPfu3cPNze2hfZKTkzl//vwj+xw4cABHR0fq169vasuXLx+1atV6aAx79+7ls88+Izg4mDx58jwyTnm5KRkiIiIiIiIiIiIi8pIzGo2kpKSYXvfu3ePMmTMEBweTnJxM27ZtTX2LFy/OxIkT+f777+ncuTOxsbEsWLCA3LlzZxrXYDAQGhrKnTt3mDJlykPnj42NxcXFhXz58pm1ly5dmsuXL3P37t2HnvvLL78A6Vt1+fr6UrVqVbp27cqJEydMfU6fPk1aWhpff/01AQEBuLu7065dO7MkR2xsLKVLl8bW1rz+SqlSpTh79myW92z27Nn4+PiY6pKI9VIyREREREREREREROQl98033+Du7m56eXp68uqrr/Lf//6X8PBwGjVqZNa/Xbt2NGzYkJ9++ok+ffpQqVKlh45dvnx5Bg8ezM6dO9mzZ0+WfZKSknByylz3xNHREUhf2fEwGcmQxMRE5s6dy7x587h37x5vvfUWp0+fNutz9epVQkJCiIyMJH/+/PTr14+DBw8+NoakpKRM7V988QVnzpxh4MCBD41NrIdqhoiIiIiIiIiIiIi85Dw9PZk0aRIAV65cITw8nJSUFObPn0+5cuUy9b9y5QrHjx8HYPv27fTt2zfLlSEZevXqxc6dOwkJCcHHxyfTcaPR+Mj4bGxsSEtLIy0tzazN1taWjh07UqtWLfz9/U3H6tSpw7/+9S+WLFlCWFgYAQEBFClSBF9fX3LkyAFA/fr1adu2LQsXLqRevXqPjMFgyLwuYN26dbi7u1O3bt1Hxi7WQStDRERERERERERERF5yjo6OeHh44OHhQZMmTVi5ciUJCQn06tWLmzdvmvVNS0sjKCgIg8HAvHnzOHfuHKGhoY8c387OjunTpxMfH8/06dMzHXdycspy9UfGigwnJyfGjRtntnqladOmQPpWWn9OhADkyZOHGjVqcOrUKQAKFy5Mo0aNTIkQgBw5clC/fn1Tn4fFkJycnGnFSHx8PIcPH35kUXixLkqGiIiIiIiIiIiIiFiZAgUKMGnSJH7//fdMiY6oqCiOHDnC1KlTefXVV+nSpQubN2/ms88+e+SYlSpVom/fvsTExGQqSF6uXDni4+NJSEgwaz937hwlSpTA3t6ewYMHs3nzZtNr8eLFAOzevZt9+/Zlmu/evXvkzZsXSC+OvmPHjkf2KVu2LBcuXMi0QuTcuXOULVvWrO2rr74iJSWFFi1aPPKaxXooGSIiIiIiIiIiIiJihZo3b06DBg345JNPOHLkCABHjx4lKiqKTp060aRJEwDGjBlDmTJlmDBhAteuXXvkmAMGDOCVV15h1qxZZu316tUDYNeuXaa2+/fvs3fvXtOxEiVKmFaveHh44ObmBsCWLVuYMGGCWZH1K1eu8N1335m25Pryyy8ZO3YsN27cMPW5ffs2e/fuNfXx9fXl1q1bphoiADdv3uTo0aOmGDL88MMPFC9enMKFCz/uNoqVUM0QERERERERERER+UezK+hA3tcz19X4X87/vIwbN442bdowbdo0Vq9eTVBQEKVKlSI4ONjUx8HBgdmzZ9O1a1eCg4NZtmwZNjY2WY5nb2/P9OnT6dy5s1l78eLFad++PdOmTeP27duULl2alStXcuvWLfr06fPIGAcMGEC3bt0YMGAAgYGBJCYmEhERgaurKz179gSgR48exMTE0LdvXwYOHIjRaGTZsmXcuXOHwYMHA1CrVi18fHwYMWIEQUFBuLq6EhERgbOzM126dDGb89SpU1SoUOGp76e8vJQMERERERERERERkX80Qy5b7Es6Pb7jS6hcuXJ0796dFStW0KxZM27fvs2GDRtwcDBPwFSrVo1+/foRGRnJ2rVr6d69+0PH9PT0pEePHqxYscKsfcqUKeTJk4elS5dy+/Zt3N3dWblyJaVLl35kjNWqVWPVqlWEh4czYsQIDAYDvr6+jBo1ylTro2TJkqxbt46wsDDGjx/P/fv3qVWrFuvWraNEiRKmsRYtWsTMmTOZPXs2aWlpeHt7s2DBAlxcXMzmvHHjBlWqVHmieyjWwcb41w3UREREnpHRaOT69SRLhyHPgYtL+g/JCQl3LByJPC96xtZPz9i66flaPz1j66dnbN30fP93ChZ0tnQIIvKCUs0QERERERERERERERGxakqGiIiIiIiIiIiIiIiIVVMyRERERERERERERERErJqSISIiIiIiIiIiIiIiYtWUDBEREREREREREREREaumZIiIiIiIiIiIiIiIiFg1JUNERERERERERERERMSqKRkiIiIiIiIiIiIiIiJWTckQERERERERERERERGxakqGiIiIiIiIiIiIiIiIVVMyRERERERERERERP7R0u494P7FPyz2Srv34Jlj7969O25ubmavSpUqUaNGDTp06MBHH31k6vvzzz9TtWpVBg4cmOVYwcHB1KhRg/PnzwMQEBBAzZo1uXLlSqa+cXFxuLm5sWXLFlNbSkoKCxYswN/fn2rVqtG1a1dOnDjx1Nf02Wef4ebmxtGjR83ar1+/zsiRI6lduzbe3t6MGDGCa9eumfW5du0aEyZMoFGjRlSvXp0OHTrw6aefmvW5f/8+0dHRNG/eHC8vL5o3b05UVBT3799/ovh69+5NTEzMU1/XyyYhIYGAgAAuXLhg6VCyhZ2lAxARERERERERERGxpJRrScRvPWax+V3be2NfIu8zn+/h4cGECRNM71NTU4mLi2PVqlWMHj0aV1dX/P39qVy5MkOHDiUsLIxNmzbRsWNH0zkxMTFs2bKFuXPnUqpUKVN7YmIikydPJjo6+rFxhIaGsnXrVoKCgihWrBgrV64kMDCQjz76iJIlSz7Rtfzxxx9Mnjw5U3tKSgq9e/fm9u3bvPvuu6SkpBAWFkafPn348MMPsbOz4/79+/Tp04fExESGDh1KoUKF2LVrF8OHDyc1NZVWrVoBMG3aND7++GMGDhyIh4cHJ0+eJDIykri4OKZMmfLI+D744ANu3bpF27Ztn+h6XmYuLi706tWLcePG8f7772NjY2PpkP4WJUNEREREREREREREXmJOTk54eXllavfz86Nu3bps2bIFf39/APr06cP+/fuZPn06tWvXplSpUpw5c4aQkBA6dOhA69atzcZwdnbmyy+/5OOPP6ZNmzYPjeHixYts3LiRiRMn0qVLFwB8fX1p1qwZy5cvJyQk5ImuJSQkBDu7zB9bb9++nV9++YUdO3ZQvnx5ACpXrkyrVq3YvXs3LVu2ZP/+/fzyyy9s2rQJT09PAOrXr8/ly5dZtmwZrVq1IiEhgQ8++ICgoCD69OkDQN26dQEICwtj5MiRuLi4ZBnbnTt3mDdvHtOmTXvpEwNP6o033iAyMpI9e/bwr3/9y9Lh/C3aJktERERERERERETECuXMmRN7e3uzD+4NBgOzZs3CYDAwevRo7t27x4gRIyhcuDATJ07MNEbTpk2pXr06oaGh3Lhx46FzffPNN6SmptKsWTNTm729PQ0bNmT//v1PFO+OHTs4ePAgo0aNynTswIEDVKhQwZQIAUzv9+3bB4CjoyOdOnXCw8PD7Nxy5cqZtv5KSkqiS5cuBAQEZOoDPHJLqA8//JDU1FT8/PxMbWPHjqVXr15MnDiR6tWr07ZtW4xGI2lpaURHR9OkSROqVq1K8+bN2bRpk+m8RYsW4eHhQVJSktkcUVFReHl5kZycDMCpU6fo27cv1atXx9vbm2HDhhEXF2fqf/jwYdzc3Ni4cSMNGzbE29ubb7/9lps3bzJy5Ejq16+Pp6cnbdu2zbS116VLlxg+fDi1atXCy8uL3r1789///tesj729Pf/6179YsmTJQ+/Ly0LJEBEREREREREREZGXmNFoJCUlxfS6d+8eZ86cITg4mOTk5ExbOhUvXpyJEyfy/fff07lzZ2JjY1mwYAG5c+fONLbBYCA0NJQ7d+48cgup2NhYXFxcyJcvn1l76dKluXz5Mnfv3n3kNVy/fp2QkBDGjRtHwYIFsxy/bNmymdpLlSrF2bNngfQVHlOmTDFL/jx48IB9+/bxyiuvmK598uTJpuRHhs8//5wcOXJQunTph8a4bds2GjVqhL29vVn74cOHuXbtGlFRUQwfPhwbGxveffddFi1aRPv27YmOjqZRo0ZMnDiRNWvWANC2bVvu37/Pnj17zMbasWMHjRs3xtHRkbNnz9KlSxcSEhKYM2cOU6dO5fTp03Tr1o3ExESz8yIjIxk3bhwTJkygWrVqjBo1yrTiZ+nSpVSpUoUxY8Zw+PBhAG7evEmXLl345ZdfePfdd5k7dy7Jycl07dqVS5cumY3dvHlzfvzxR3777beH3puXgbbJEhEREREREREREXmJffPNN7i7u5u12djY4ObmRnh4OI0aNcp0Trt27fj000/Zu3cvAwcOpFKlSg8dv3z58gwePJiwsDD27NlD06ZNM/VJSkrCyckpU7ujoyMAycnJ5MqV66FzZKysaNeunekD+z9LTEykQoUKWY5/7ty5h447Z84cfvvtNyIjIx/aZ8+ePWzdupW33noLZ2fnLPskJSVx8uTJTNuIQXo9kylTplCoUCEAzp49ywcffMDo0aPp1asXkL5lWGpqKuHh4bz++uuULFmSGjVqsH37dtq3bw+krwL59ddfGT16NJC+eiR37tysXLnSdB9r1apFkyZNWLt2LQMGDDDF8Oabb5ptY3XkyBEGDRpEkyZNAPDx8cHV1ZUcOXIAsHr1atOWYUWKFDHF2LRpUxYvXsy0adNMY1WtWhVIT/qUKVPmoffxRaeVISIiIiIiIiIiIiIvMU9PTzZv3szmzZuJjIykYsWKlC1blvnz59O8efMsz7ly5QrHjx8H0utx3L59+5Fz9OrVC3d3d0JCQkhISMh03Gg0PvJ8Gxsb0tLSzFawpKamArB161aOHTv22OLlD2MwZP6Y22g0Mnv2bFavXk3v3r1NSYG/2r17NyNGjMDb25uRI0c+dI7ff/+d1NRUSpQokelYgQIFTIkQSE9OGY1GGjVqZHa9AQEBJCYmcuLECSB9dcihQ4f4448/gPRVIQUKFKB+/fqmcerUqUPOnDlNY+TNmxdPT08OHjxoFsNfk1m1a9cmIiKCoUOHsmnTJq5fv86YMWOoUaMGAIcOHcLd3Z0CBQqYxrazs6N+/fqZxnZ2diZPnjyZVoy8bJQMEREREREREREREXmJOTo64uHhgYeHB02aNGHlypUkJCTQq1cvbt68mal/WloaQUFBGAwG5s2bx7lz5wgNDX3kHHZ2dkyfPp34+HimT5+e6biTk5OpzsWfZdTEcHJyYty4cbi7u5teTZs2JS4ujtDQUEaPHk2+fPlISUkhLS3NFGdGwuRR4/91Rcr9+/cZOXIk7733Hr179zattPirVatWMWzYMGrUqMGSJUvImTPnQ68/Y1sqBweHTMf+ur1YfHw8kL691J+vt0ePHgBcvXoVgBYtWmBjY8OuXbuA9KTUq6++iq2trWmcbdu2mY3h7u7OkSNHTGM8LIb58+cTGBjIjz/+yIQJE/D396d3796mhEZ8fDzHjh3LNPbWrVszjZ1x3X/dmutlo22yRERERERERERERKxIgQIFmDRpEsOGDSM0NJSwsDCz41FRURw5coTIyEiaNGnCt99+y/r162nUqNFDV1BA+uqDvn37EhUVhbe3t9mxcuXKER8fT0JCAi4uLqb2c+fOUaJECezt7Rk8eDDdunUzHbO3t+fgwYMkJiYyfvx4xo8fbzZm9+7d8fHxYc2aNZQtW5bTp09niun8+fNUq1bN9D4pKYl+/frx3XffMW7cOFMC4q+mT5/O6tWradWqFTNmzMhUB+Sv8ubNC/BECYGMrbbWrl2b5dZgGatLXFxcaNSoETt37qRKlSpcuHCBNm3amPo5OTnh5+fHW2+9lWmMx8Xr7OzMqFGjGDVqFLGxsXz++edERUUxdepUoqOjcXJyok6dOgQFBT32egBu3bplugcvKyVDRERERERERERERKxM8+bNadCgAZ988gmdOnXCx8cHgKNHjxIVFUWnTp1MiY8xY8Zw6NAhU/HtrAqYZxgwYAB79uxh1qxZZu316tUDYNeuXbzxxhtA+gqNvXv30qBBAyA9CfDXbaYKFSrE5s2bzdr+85//MHnyZKZNm2ZKuvj6+rJ9+3ZiY2NNxc//+9//cubMGVPtjNTUVAYMGMAPP/zwyC3CFixYwOrVq+nZsydjxowxK7j+MIULF8bW1pa4uLjH9q1ZsyYACQkJ1KpVy9S+e/duNm3aREhIiCmx0LZtW4YPH87mzZspX768qT4HpNf5OHPmDO7u7qatwFJTUxk+fDienp64ubllOX9cXBydOnUiODiY5s2bU65cOcqVK8fx48e5ePGiaewdO3ZQvnx5s1UlEydONK00ypCQkMCdO3coWrToY6/9RaZkiIiIiIiIiIiIiPyj2RV0wrW99+M7Psf5n4dx48bRpk0bpk2bxtatW0lKSiIoKIhSpUoRHBxs6ufg4MDs2bPp2rUrwcHBLFu27KEJAnt7e6ZPn07nzp3N2osXL0779u2ZNm0at2/fpnTp0qxcuZJbt27Rp0+fh8aYN2/eTCsOMuqXlC1b1pT4aNmyJdHR0fTp04cRI0YAEBYWRsWKFWnRogUAGzZs4MiRI3Tq1IkiRYqYaqJAes2SatWqcerUKZYsWYKHhwfNmzfnhx9+MJu7QoUKWRaCz507NzVq1ODYsWO8+eabD70eSF9B06pVK8aNG8eFCxeoXLkyv/76K/Pnz8fd3Z1ixYqZ+vr5+eHo6MjmzZsZOnSo2TiDBg3ijTfeYMCAAbzxxhvY2dmxdu1aDh48SJcuXR46f5EiRShevDjTpk0jKSmJUqVK8eOPP7Jv3z4GDhwIQM+ePYmJiaFXr14EBgaSJ08eYmJi+Oijj5gxY4bZeN999x2QnpB6mSkZIiIiIiIiIiIiIv9ohpw5sC/xcm8BlJVy5crRvXt3VqxYwfr16/nmm2+4fv06GzZsyFT7olq1avTr14/IyEjWrl1L9+7dHzqup6cnPXr0YMWKFWbtU6ZMIU+ePCxdupTbt2/j7u7OypUrKV269N++Fnt7e1auXEloaCgTJ07E3t6e+vXrM3bsWOzs0j/mzqi9sXHjRjZu3Gh2vq2tLT/99BN79uwhLS2NkydP0qlTp0zzrFu3zrSy46+aNWtGZGQk9+/ff+w2VTNnziQ6Opq1a9dy5coVChQowOuvv54p4WFvb0+LFi3YsGEDrVu3NjtWqVIl1q1bx4IFCwgKCsLGxoZKlSqxdOlS00qch4mIiGDu3LmEh4fzxx9/ULRoUYYMGULfvn2B9JUuGzZsYN68eUycOJEHDx5Qrlw55s2bx6uvvmo21v79+/H09HzpV4bYGI1Go6WDEBER62A0Grl+PcnSYchz4OKS/kNyQsIdC0ciz4uesfXTM7Zuer7WT8/Y+ukZWzc93/+dggWdLR2CWLHbt2/TuHFjJk6cSMuWLS0dzv/EnTt3aNCgATNnznxkPZmXgcHSAYiIiIiIiIiIiIiIvOhy587N4MGDWb58Of+UNQYbN26kQoUKNG7c2NKh/G1KhoiIiIiIiIiIiIiIPIGuXbua6mtYu/j4eFatWsWsWbOeqMj8i041Q0REREREREREREREnoCNjQ2rVq2ydBj/E66uruzdu9fSYWQbrQwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERCzAajZYOQURERERERERE5B9DyRCRl1xSUhKLFy+mTZs2VK9endq1a9O9e3c+/vhjq/jAPSIigipVqlg6jGz15ZdfMmbMGNP7w4cP4+bmxtGjR5/73NZ4P0VERERERERERB7HztIBiMizu3DhAn369OHWrVsEBgZSrVo1bt++zd69exk7diy7d+9m3rx52NvbWzrUZ9axY0f8/PwsHUa2Wr16NampqRaZ2xrvp4iIiIiIiIiIyOMoGSLykkpLS2PUqFHcu3ePmJgYChcubDoWEBBAw4YNGThwIBEREYwcOdKCkf49RYoUoUiRIpYOw2rofoqIiIiIiIiIyD+RtskSyQYBAQEsXLiQqVOn4u3tTZ06dXj33Xe5c+eOqU/37t0ZM2YMgwYNolq1avTv3x+Au3fvMmvWLPz8/PDw8KBdu3Z8/vnnj53z0KFDfP/994wePdosEfLnmFq1asXq1atJSkoCYOzYsTRt2tSs38WLF3Fzc+Ojjz4ytV26dInhw4dTq1YtvLy86N27N//9738znbN7924GDx5M9erV8fHxYeLEiWbXnJKSwqpVq3j11Vfx9PSkcePGLF682GxVxPnz5+nfvz+1a9emWrVqdOrUiX379pmO/3Vbp+7duzNp0iSio6Px9/fHw8ODzp07c/LkSbPrOnXqFH379qV69ep4e3szbNgw4uLiHnlPb968yciRI6lfvz6enp60bduWmJgYAOLj4/Hw8CA8PNzsnMTERDw9PVm3bt0T3Zfu3btz6NAhjhw5gpubG4cPHzaNdebMGXr27Imnpyf169dn3rx5ZvcqLS2N6OhomjRpQtWqVWnevDmbNm0yi+dp7+fj+ouIiIiIiIiIiFgDJUNEssmaNWv46aefmDNnDgMGDCAmJoZRo0aZ9fnkk09wdXUlOjqaHj16YDQaGTx4MB988AG9e/cmMjKSypUrM2jQID777LNHzvfFF19ga2tLw4YNH9qnRYsW3Lt3jwMHDjzxddy8eZMuXbrwyy+/8O677zJ37lySk5Pp2rUrly5dMus7YcIESpYsSVRUFL1792bTpk0sWbLEdHz8+PHMnTuXFi1asHjxYtq1a0dkZCQTJ04E0j/c79evH3fu3GH27NlERUXh6urKgAEDOH/+/ENj3LFjB3v37mXixInMmzeP69evM2zYMNLS0gA4e/YsXbp0ISEhgTlz5jB16lROnz5Nt27dSExMfOi4o0aN4syZM4SEhLB06VKqVKnCmDFjOHz4MK6urgQEBLBt27ZMsRiNRl599dUnui+TJ0/Gw8ODKlWqsHHjRtzd3U3nhYaG4uPjw5IlS2jevDlLlizhgw8+MB1/9913WbRoEe3btyc6OppGjRoxceJE1qxZ80z381nvv4iIiIiIiIiIyMtG22SJZBNbW1uWL1+Oo6Oj6f3UqVP59ddfeeWVVwDImTMnkydPNtXwOHDgAF999RULFy6kWbNmAPj5+XHr1i3mzJlDkyZNHjrfpUuXyJs3L7lz535on5IlSwJw+fLlJ76O1atXk5CQwAcffGDaTsnX15emTZuyePFipk2bZurbqFEjUyHwunXrcuDAAfbu3cvw4cP59ddfiYmJYfTo0fTu3RuA+vXrkytXLubOnUtgYCB58+YlNjaWgQMH4u/vD4CnpyeLFi3i3r17D40xNTWV5cuX4+TkBEBycjJjxozh9OnTVKpUiUWLFpE7d25Wrlxpeh61atWiSZMmrF27lgEDBmQ57pEjRxg0aJDpvvv4+ODq6kqOHDkAeO2119i5cyfHjh3D29sbgJiYGBo1aoSrq6tpBc6j7kuFChVwcnIiNTUVLy8vs/l79uxpiq1OnTp8/vnnfPPNN3Tp0oWzZ8/ywQcfMHr0aHr16mV6LqmpqYSHh/P666+TlJT0VPfzxo0bz3T/RUREREREREREXjZaGSKSTQICAkwfvAP861//AuDo0aOmtgoVKpgVMz906BC2trb4+fmRkpJiegUEBPDbb79x8eJF0tLSzI6lpKQ8cUy2trYAT1Ws+9ChQ7i7u1OgQAHTfHZ2dtSvX5+DBw+a9a1Ro4bZ+yJFipi2g/r2228BaNWqlVmfNm3amI4XKFCAChUqMHHiRMaMGcO2bdtIS0sjODjYlEDKipubmykRApi2Cbt9+zYA33zzDXXq1CFnzpyma8ibNy+enp6ZruHPateuTUREBEOHDmXTpk1cv36dMWPGmK7T19eXIkWK8PHHHwPpW0x99913dOjQ4Ynvy6PUrFnT9GcbGxuKFy9uWsnyzTffYDQaadSoUaa/K4mJiZw4ceKp7+ez3n8REREREREREZGXjVaGiGSTQoUKmb3Ply8fALdu3TK1/XUVR3x8fJYrBDJcvXqVrVu3smjRIrP2U6dOUbx4cfbv309ycrJZEubPLl68CECxYsWe+Dri4+M5d+6c2fZNGTJWSGTIlSuX2XuDwWDaqiohIQGA/Pnzm/XJeJ+YmIiNjQ0rVqxg8eLF7Nmzh5iYGHLkyEGTJk0ICQnBxcUlyxizmhcwzR0fH8+2bdsybWkFUKZMmSzHBJg/fz7R0dF8+umn7Nq1C4PBQL169ZgyZQrFixfHYDDQrl07NmzYwPjx44mJiaFgwYI0aNDgie/Lozg4ODz0vPj4eACaN2+e5blXr1596vv5rPdfRERERERERETkZaNkiEg2yfiwOsONGzeA/58UyYqzszPOzs6sXLkyy+Nly5alePHiWdYFCQgIYO3atXzxxRe0bt3a1P7zzz/j5uaGwWBg165d5MiRgzp16gDpH37/dZVIxmqKDE5OTtSpU4egoKCHxv0k8uTJA6Tfhz8XeL927RoAefPmBdJXdbz77rtMnjyZX375hZ07d7Js2TLy589vqi3ytJycnPDz8+Ott97KdOzPK3P+ytnZmVGjRjFq1ChiY2P5/PPPiYqKYurUqURHRwPQoUMHoqOjOXToEJ9++ilt2rQxrcB5npydnQFYu3ZtpmQLQIkSJYCnv5/P4/6LiIiIiIiIiIi8aLRNlkg2+eqrr8y2sNq1axc2NjamRERWatWqRWJiInZ2dnh4eJheJ06cYPHixdjY2FC4cGGzYx4eHkB6LYoaNWowZ84cfv/9dyB9ZUTfvn1p0aIFK1eu5KOPPqJr166mhIyjoyM3b97k/v37phiOHTtmFpOPjw9nz56lfPnyZnN+8MEHbN++/YnvR61atYD0ovF/lvHe29ubEydOUK9ePU6cOIGNjQ2VK1fmnXfeoWLFiqZrehY+Pj6cOXMGd3d3U/xVqlRh6dKl7N+/P8tz4uLi8Pf3Z+fOnQCUK1eOvn37Uq9ePbNYSpcuTa1atVi+fDmxsbGZtsh6Es+SPMnYQishIcHsufz+++8sXLiQO3fuPPX9fF73X0RERERERERE5EWjlSEi2eTSpUsMHjyYrl27cubMGRYsWMDrr79uKmKelYYNG1KjRg369+/PwIEDKVOmDN999x2RkZG0atXqodtfQfoWSmFhYfTp04cOHToQGBhItWrVmDBhAlOmTGHmzJm4urqaFQtv1KgRa9asYdy4cbz++uucPn2alStXmn0437NnT2JiYujVqxeBgYHkyZOHmJgYPvroI2bMmPHE96NixYq0adOG+fPnc+fOHapXr873339PdHQ0bdq0oUKFCty/f5/cuXMzevRohgwZQoECBTh48CA///wzPXv2fOK5/mrQoEG88cYbDBgwgDfeeAM7OzvWrl3LwYMH6dKlS5bnFClShOLFizNt2jSSkpIoVaoUP/74I/v27WPgwIFmfTt06EBwcDAeHh5UqFDhqeNzdnbm6NGjHDp0iCpVqjzROZUqVaJVq1aMGzeOCxcuULlyZX799Vfmz5+Pu7s7xYoVo0CBAk91PytVqvRc7r+IiIiIiIiIiMiLRskQkWzSunVrcuXKxbBhw3BycqJ3794MGjTokecYDAaWLVtGeHg4ixYt4o8//qBo0aL079+ffv36PXbOYsWK8cEHH7Bu3Tq2b99OdHQ0OXLkoEKFCvTp04etW7fSunVrxo4dS6tWrahfvz5jxoxhzZo17Nq1C3d3dxYtWkTnzp1NYxYuXJgNGzYwb948Jk6cyIMHDyhXrhzz5s3j1Vdffap7MmPGDEqXLs2WLVuIjo6mWLFiDBkyhD59+gDpW1a99957hIWFERoayq1btyhTpgxTp06lbdu2TzXXn1WqVIl169axYMECgoKCsLGxoVKlSixdupR69eo99LyIiAjmzp1LeHi46VkMGTKEvn37mvXL2LbsWVaFAHTt2pUffviBvn37Mnv27Ex1VR5m5syZREdHs3btWq5cuUKBAgV4/fXXGTp0KPD09/N53X8REREREREREZEXjY3RaDRaOgiRl11AQAB169YlNDTU0qGYefDgAVu3bqVQoUJZ1h2RZxMTE8PkyZP5+uuvTbU8JJ3RaOT69SRLhyHPgYuLAwAJCXcsHIk8L3rG1k/P2Lrp+Vo/PWPrp2ds3fR8/3cKFtTv6SKSNa0MEbFiOXLk4I033rB0GFZjz549nDx5kvXr19OxY0clQkRERERERERERF4SKqAuIvKELl26xOrVq/Hy8mL48OGWDkdERERERERERESekLbJEhGRbKNtsqyXlvVbPz1j66dnbN30fK2fnrH10zO2bnq+/zvaJktEHkYrQ0RERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVUzJERERERERERERERESsmpIhIiIiIiIiIiIiIiJi1ZQMERERERERERERERERq6ZkiIiIiIiIiIiIiIiIWDUlQ0RERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVs7N0ACIiYl1cXBwsHYI8B3Z2toCerzWzs7PFaDRaOgwRERERERGR50LJEBERyVZpV9MsHYI8B/fRc7V6BQ3Y5LCxdBQiIiIiIiIiz4WSISIikn2MELf5pqWjEJFnUOT1fNgXy2HpMERERERERESeC9UMERERERERERERERERq6aVISIikn1soNSAQpaOQkSegU0OG9AuWSIiIiIiImKllAwREZFslXL1tqVDEJFnYFfQAZucWjQsIiIiIiIi1knJEBERyT5G+GNzrKWjEJFnkPf1ctgVd7R0GCIiIiIiIiLPhb7+JyIiIiIiIiIiIiIiVk0rQ0REJPvYQMEB7paOQkSegY29QTVDRERERERExGopGSIiItkq5fotS4cgIs/ArqATNvb60VBERERERESsk37jFRGR7GM0Er/1mKWjEJFn4NreG7tirpYOQ0REREREROS5UM0QERERERERERERERGxaloZIiIi2cfGBtf23paOQkSegV1BJ0uHICIiIiIiIvLcKBkiIiLZq5CzpSOQ58DOzhaAlJRUC0ciz42dLUaj0dJRiIiIiIiIiDwXSoaIiEi2Ski4Y+kQ5DlwcXEA9HytWcYzFhEREREREbFGqhkiIiIiIiIiIiIiIiJWTckQERERERERERERERGxakqGiIiIiIiIiIiIiIiIVVMyRERERERERERERERErJqSISIiIiIiIiIiIiIiYtWUDBEREREREREREREREatmYzQajZYOQkRErIPRaET/qlgnG5v0/+r5Wi89Y+unZ2zd9Hytn56x9dMztm56vv87BoONpUMQkReUkiEiIiIiIiIiIiIiImLVtE2WiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIyN/2ySef8Oqrr+Lp6UmLFi2IiYmxdEjyHPz888+4u7sTFxdn6VAkG6WlpbF+/Xpat25N9erVadKkCTNmzCApKcnSoUk2MRqNrFq1imbNmuHp6UmbNm3Ytm2bpcOS52Tw4ME0bdrU0mFINkpJScHT0xM3NzezV/Xq1S0dmmSjb7/9li5dulCtWjV8fX2ZOnUqycnJlg5LssHhw4cz/f/759fWrVstHaKIyD+GnaUDEBGRl9uOHTsICgqiR48e+Pr68tlnnzFmzBhy5cpF8+bNLR2eZJMzZ87Qr18/UlJSLB2KZLPly5ezYMECevfuTd26dTl79iwLFy7kv//9L++9956lw5NssGTJEhYuXMiQIUPw8vJi//79BAUFYWtrS8uWLS0dnmSjjz76iD179lCqVClLhyLZ6OzZs9y7d49Zs2ZRpkwZU7vBoO82Wovjx4/Ts2dPAgICWLx4MefOnWPevHncvHmT+fPnWzo8+Zvc3d3ZuHGjWZvRaGT8+PHcvn0bf39/C0UmIvLPo2SIiIj8LfPnz6dFixYEBwcD0KBBAxISEggPD1cyxAqkpKSwceNGwsLCyJEjh6XDkWxmNBpZvnw5nTp1YuTIkQDUq1ePvHnz8s477/Dzzz9TuXJlC0cpf8eDBw9YsWIFXbp0YcCAAQDUrVuXH3/8kbVr1yoZYkWuXLlCaGgoRYoUsXQoks1++eUXDAYDzZo1w8HBwdLhyHMwd+5cvLy8CA8Px8bGhnr16pGWlsbKlSu5c+eOnvtLzsnJCS8vL7O21atXc/bsWTZs2EC+fPksE5iIyD+QvkoiIiLP7MKFC5w/f55//etfZu3NmjUjNjaWCxcuWCgyyS7Hjh1j7ty59OrVi6CgIEuHI9ksOTmZNm3a0KpVK7P2cuXKAXD+/HlLhCXZyNbWljVr1vD222+btefIkYN79+5ZKCp5HiZMmED9+vWpW7eupUORbPbzzz9TqlQpfSBupW7evMnRo0fp0qULNjY2pvZu3brx2Wef6blboWvXrhEeHm7aFk1ERP53lAwREZFnFhsbC0DZsmXN2kuXLg2kb+sgL7fy5cvz2WefMXjwYGxtbS0djmQzJycnJkyYgLe3t1n7Z599BkCFChUsEZZkI4PBgJubG4ULF8ZoNHL9+nWWLl3KwYMH6dSpk6XDk2yyadMm/vOf/zBx4kRLhyLPwalTp7C3t6d3795Ur16dWrVqMWnSJNV2shKnT5/GaDTi4uLC8OHD8fLywtvbm8mTJ3P37l1LhyfPQUREBAaDgeHDh1s6FBGRfxxtkyUiIs8sMTERSP9A9c8cHR0B9Eu6FShQoIClQ5D/sR9++IGlS5fSpEkTypcvb+lwJBvt3r2boUOHAtCwYUPatGlj4YgkO1y6dIkZM2YwY8YMbbVipX755ReSkpLo2LEj/fv358cffyQiIoKzZ8/y/vvvm60mkJfPzZs3ARg7dixNmzZl8eLFnDp1igULFnDv3j1mzpxp4QglO924cYOYmBh69epFnjx5LB2OiMg/jpIhIiLyzIxG4yOPq7CnyMvl2LFj9O/fnxIlSjBt2jRLhyPZrEqVKqxdu5ZTp04RHh7O22+/zerVq/VB6kvMaDQybtw4/P39adasmaXDkedk/vz5uLi44ObmBkCtWrXInz8/o0aN4uDBg9SvX9/CEcrf8eDBAwBq1KjB5MmTgfTaTkajkVmzZjFo0CBKlixpyRAlG23atIm0tDTeeustS4ciIvKPpE+pRETkmTk7OwPpdQf+LGNFSMZxEXnx7dixg549e1K0aFFWrVpF3rx5LR2SZLOSJUtSq1Yt3nzzTcaPH8/hw4f5/vvvLR2W/A3r1q3j1KlTjBs3jpSUFFJSUkxfVPjzn+Xl5uPjY0qEZGjYsCGQvmpEXm4ZK6r9/PzM2n19fTEajZw6dcoSYclzsmvXLho0aKCVfCIiFqJkiIiIPLOMWiF/LbJ87tw5s+Mi8mJbuXIlI0aMwMvLi3Xr1lGoUCFLhyTZJD4+npiYGK5cuWLWXqVKFQCuXr1qibAkm+zatYs//vgDX19f3N3dcXd3JyYmhvPnz+Pu7s7WrVstHaL8TTdu3GDTpk1cuHDBrD2jloQS1y+/MmXKAHD//n2z9owVI1q9Zz2uXLnCTz/9RIsWLSwdiojIP5aSISIi8sxKly5NiRIl2Llzp1n77t27KVOmDMWKFbNQZCLypDZt2sTMmTNp0aIFy5cv14ouK5OWlsbYsWPZuHGjWfuBAwcAqFixoiXCkmwSEhLC5s2bzV6NGjWiSJEipj/Ly83GxoZJkyaxdu1as/YdO3Zga2uLt7e3hSKT7FK+fHmKFy/Ojh07zNq//PJL7OzsqF69uoUik+z2ww8/AOj/WxERC1LNEBER+VsGDRpEcHAwLi4uNGzYkM8//5xPP/2U+fPnWzo0EXmMGzduEBoaSvHixenWrRs//fST2fFSpUppG4eXXL58+ejatStLly4lV65ceHh4cOzYMZYsWULHjh0pV66cpUOUvyGr5+fq6oq9vT0eHh4WiEiyW758+ejWrRtr1qzBycmJmjVrcuzYMaKjo+nWrRulS5e2dIjyN9nY2BAUFMSIESMICgqiQ4cO/PjjjyxevJg333xT/w5bkdOnT+Pg4EDx4sUtHYqIyD+WkiEiIvK3dOjQgfv377NixQo2bdpEyZIlmTVrFi1btrR0aCLyGF999RV37tzh0qVLdOvWLdPx2bNn07ZtWwtEJtkpODiYokWLsnnzZiIiIihSpAhDhw6ld+/elg5NRJ7AmDFjKFy4MB9++CFLly6lcOHCDB06lD59+lg6NMkmLVu2xN7ensjISPr160f+/PkZNGgQ/fr1s3Roko2uX79Onjx5LB2GiMg/mo1RVfVERERERERERERERMSKqWaIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIvKPFxAQQPfu3Z/rHLdv36Zhw4YcO3YMgC1btuDm5vbI12effQZA9+7dCQgIeC5xRUVFMXjw4OcytoiIiIjIi8LO0gGIiIiIiIj8E0RERODm5oa3t7dZe6dOnTK1Zahatepzj6tHjx40btyYffv24e/v/9znExERERGxBCVDREREREREnrMLFy7w/vvvs3bt2kzHvLy8aNu2rQWiSufo6Mhbb71FaGgoDRo0wGDQBgIiIiIiYn30U66IiIiIiMhztmbNGooWLUr16tUtHUqWXnvtNS5cuMCXX35p6VBERERERJ4LJUNERERERET+4ujRowQGBlK9enWqV6/OW2+9xbfffpup3759++jYsSNeXl40btyYdevWMX78eLP6Hnfv3mXLli00btw42+J7WA2RP7efOnWKqlWr8sYbb2A0Gk19oqOjcXNzY8OGDaa2woUL4+Xlxbp167ItRhERERGRF4mSISIiIiIiIn/y+eef0717d37//XcGDBjAgAED+P333wkMDOTzzz839fvyyy8ZMGAADx484J133qFZs2bMnDnTVPQ8w7Fjx0hMTKRhw4ZZznf79m1u3ryZ6XX//v2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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -864,8 +899,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:40:35.617460Z",
-     "end_time": "2023-05-03T13:40:36.234754Z"
+     "end_time": "2023-06-12T18:31:13.114326Z",
+     "start_time": "2023-06-12T18:31:12.443767Z"
     }
    }
   },
@@ -881,8 +916,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
-   "outputs": [],
+   "execution_count": 26,
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'unconstrained_molecules'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_78038/2219999909.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0muptake\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"unconstrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m3\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcopy\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      2\u001B[0m \u001B[0muptake_c\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"constrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      3\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m \u001B[0mhomeostatic\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"target_homeostatic_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0mexchanges\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"estimated_exchange_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mKeyError\u001B[0m: 'unconstrained_molecules'"
+     ]
+    }
+   ],
    "source": [
     "uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
     "uptake_c = fba[\"constrained_molecules\"]\n",
@@ -899,8 +946,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-04-28T10:37:03.150602Z",
-     "end_time": "2023-04-28T10:37:03.236435Z"
+     "end_time": "2023-06-12T18:28:33.148971Z",
+     "start_time": "2023-06-12T18:28:33.142422Z"
     }
    }
   },

From af9426745508f3efeef235591117fe00f8c1b28d Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 12 Jun 2023 11:37:05 -0700
Subject: [PATCH 02/58] Small changes.

---
 notebooks/fbagd/test_environments_new.ipynb | 214 --------------------
 1 file changed, 214 deletions(-)

diff --git a/notebooks/fbagd/test_environments_new.ipynb b/notebooks/fbagd/test_environments_new.ipynb
index 3abf5230e..a277b8e3a 100644
--- a/notebooks/fbagd/test_environments_new.ipynb
+++ b/notebooks/fbagd/test_environments_new.ipynb
@@ -903,220 +903,6 @@
      "start_time": "2023-06-12T18:31:12.443767Z"
     }
    }
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dc585496-f8aa-4a33-95c6-080673fdacee",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Check kinetics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "'unconstrained_molecules'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_78038/2219999909.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0muptake\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"unconstrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m3\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcopy\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      2\u001B[0m \u001B[0muptake_c\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"constrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      3\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m \u001B[0mhomeostatic\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"target_homeostatic_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0mexchanges\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"estimated_exchange_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mKeyError\u001B[0m: 'unconstrained_molecules'"
-     ]
-    }
-   ],
-   "source": [
-    "uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
-    "uptake_c = fba[\"constrained_molecules\"]\n",
-    "\n",
-    "homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"]).loc[4, :])\n",
-    "exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"]).loc[4, :]\n",
-    "maintenance = pd.DataFrame(fba[\"maintenance_target\"]).at[4, 'maintenance_reaction']\n",
-    "kinetic = dict(pd.DataFrame(fba[\"target_kinetic_fluxes\"]).loc[4, :])\n",
-    "sim_fluxes = dict(pd.DataFrame(fba[\"estimated_fluxes\"]).loc[4, :])\n",
-    "\n",
-    "uptake.extend(list(uptake_c.keys()))\n",
-    "uptake = set(uptake)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:33.148971Z",
-     "start_time": "2023-06-12T18:28:33.142422Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "outputs": [],
-   "source": [
-    "model = NetworkFlowModel(reactions=stoichiometric_matrix_dict,\n",
-    "                         homeostatic_metabolites=metabolism.homeostatic_objective,\n",
-    "                         free_reactions=FREE_RXNS)\n",
-    "\n",
-    "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)\n",
-    "\n",
-    "solution: FlowResult = model.solve(homeostatic_targets=homeostatic,\n",
-    "                                   maintenance_target=maintenance,\n",
-    "                                   kinetic_targets=kinetic,\n",
-    "                                   reaction_catalyst_counts=sim_catalysts.to_dict()[4],\n",
-    "                                   objective_weights={'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.00001},\n",
-    "                                   upper_flux_bound=100000000)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:20.823261Z",
-     "end_time": "2023-04-28T10:02:26.443574Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "outputs": [
-    {
-     "data": {
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(reverse)': -0.0,\n '3-OXOACYL-ACP-SYNTH-BASE-RXN': -0.0,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/Arachidoyl-ACPs/PROTON//ACP/3-oxo-behenoyl-ACPs/CARBON-DIOXIDE.75.': 0.0,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8/PROTON//ACP/POLYMER-INST-B-KETOACYL-ACP-C6-H12/CARBON-DIOXIDE.119.': 72176.00000000003,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/Palmitoyl-ACPs/PROTON//ACP/3-oxo-stearoyl-ACPs/CARBON-DIOXIDE.74.': -0.0,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/Stearoyl-ACPs/PROTON//ACP/3-oxo-arachidoyl-ACPs/CARBON-DIOXIDE.75.': -0.0,\n '3-PHOSPHOGLYCERATE-PHOSPHATASE-RXN': -0.0,\n '3.1.3.16-RXN': -0.0,\n '3.1.3.68-RXN[CCO-CYTOSOL]-2-DEOXY-D-GLUCOSE-6-PHOSPHATE/WATER//2-DEOXY-D-GLUCOSE/Pi.71.': 0.0,\n '3.1.3.68-RXN[CCO-PERI-BAC]-2-DEOXY-D-GLUCOSE-6-PHOSPHATE/WATER//2-DEOXY-D-GLUCOSE/Pi.72.': -0.0,\n '3.1.3.74-RXN[CCO-CYTOSOL]-PYRIDOXAL_PHOSPHATE/WATER//PYRIDOXAL/Pi.53.__EG11239-MONOMER': -0.0,\n 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'3.4.21.92-RXN-General-Protein-Substrates/ATP/WATER//Peptides-holder/ADP/Pi/PROTON.68.': -0.0,\n '3.4.24.55-RXN-General-Protein-Substrates/WATER//Peptides-holder/PROTON.57.': -0.0,\n '3.5.1.88-RXN': -0.0,\n '3.5.2.17-RXN': -0.0,\n '3.6.1.41-RXN': -0.0,\n '3.6.3.23-RXN-ACETYLMURAMYL-ALANYL-ISOGLUTAMINE/ATP/WATER//ACETYLMURAMYL-ALANYL-ISOGLUTAMINE/ADP/Pi/PROTON.93.': -0.0,\n '3.6.3.23-RXN-ALA-GLY/ATP/WATER//ALA-GLY/ADP/Pi/PROTON.41.': -0.0,\n '3.6.3.23-RXN-CARNOSINE/ATP/WATER//CARNOSINE/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-10814/ATP/WATER//CPD-10814/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13390/ATP/WATER//CPD-13390/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13393/ATP/WATER//CPD-13393/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13394/ATP/WATER//CPD-13394/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13395/ATP/WATER//CPD-13395/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13397/ATP/WATER//CPD-13397/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13398/ATP/WATER//CPD-13398/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13401/ATP/WATER//CPD-13401/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13403/ATP/WATER//CPD-13403/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13404/ATP/WATER//CPD-13404/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13406/ATP/WATER//CPD-13406/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-15384/ATP/WATER//CPD-15384/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-20340/ATP/WATER//CPD-20340/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-20746/ATP/WATER//CPD-20746/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-20750/ATP/WATER//CPD-20750/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-3569/ATP/WATER//CPD-3569/ADP/Pi/PROTON.43.': -0.0,\n '3.6.3.23-RXN-CPD0-1082/ATP/WATER//CPD0-1082/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD0-1085/ATP/WATER//CPD0-1085/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD0-1445/ATP/WATER//CPD0-1445/ADP/Pi/PROTON.45.': -0.0,\n 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(reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADH-RXN-Butanoyl-ACPs/NAD//POLYMER-INST-TRANS-D2-ENOYL-ACP-C0-H0/NADH/PROTON.69. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADH-RXN-POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8/NAD//POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8/NADH/PROTON.100. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADH-RXN-Stearoyl-ACPs/NAD//Octadec-2-enoyl-ACPs/NADH/PROTON.52. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Arachidoyl-ACPs/NADP//NADPH/trans-delta2-arachidoyl-ACPs/PROTON.64. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Butanoyl-ACPs/NADP//NADPH/POLYMER-INST-TRANS-D2-ENOYL-ACP-C0-H0/PROTON.71. (reverse)': 72176.00000000006,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Decanoyl-ACPs/NADP//NADPH/Trans-D2-decenoyl-ACPs/PROTON.56. (reverse)': 72176.00000000003,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Dodecanoyl-ACPs/NADP//NADPH/Dodec-2-enoyl-ACPs/PROTON.54. (reverse)': 72176.00000000004,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Hexanoyl-ACPs/NADP//NADPH/Hex-2-enoyl-ACPs/PROTON.50. (reverse)': 72176.00000000006,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Myristoyl-ACPs/NADP//NADPH/Tetradec-2-enoyl-ACPs/PROTON.56. (reverse)': 62561.000000000015,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8/NADP//NADPH/POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8/PROTON.102. (reverse)': 72176.00000000003,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Palmitoyl-ACPs/NADP//NADPH/2-Hexadecenoyl-ACPs/PROTON.54. (reverse)': 60638.00000000001,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Stearoyl-ACPs/NADP//NADPH/Octadec-2-enoyl-ACPs/PROTON.54. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14729//CPD0-2108.21.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14729//CPD0-2108.21. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14730//CPD-15568.21.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14730//CPD-15568.21. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14925//T2-DECENOYL-COA.27.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14925//T2-DECENOYL-COA.27. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C0-H0//CROTONYL-COA.54.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C0-H0//CROTONYL-COA.54. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C12-H24//CPD0-2117.53.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C12-H24//CPD0-2117.53. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C14-H28//CPD-10262.53.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C14-H28//CPD-10262.53. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C16-H32//POLYMER-INST-TRANS-D2-ENOYL-COA-C16-H32.83.': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C16-H32//POLYMER-INST-TRANS-D2-ENOYL-COA-C16-H32.83. (reverse)': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C2-H4//CPD0-2121.51.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C2-H4//CPD0-2121.51. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-CPD0-2171//CPD-15568/WATER.27. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-CPD0-2253//CPD-10262/WATER.27. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-POLYMER-INST-L-3-HYDROXYACYL-COA-C12-H24//CPD0-2117/WATER.58. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-POLYMER-INST-L-3-HYDROXYACYL-COA-C16-H32//POLYMER-INST-TRANS-D2-ENOYL-COA-C16-H32/WATER.88. (reverse)': 0.0,\n 'ENTDB-RXN': -0.0,\n 'ENTF-RXN': -0.0,\n 'ENTG-RXN': -0.0,\n 'ENTMULTI-RXN': 53.99999999999999,\n 'ENVZ-RXN': -0.0,\n 'ERYTH4PDEHYDROG-RXN': 48.99999999999999,\n 'ERYTHRON4PDEHYDROG-RXN': 48.99999999999999,\n 'ETHAMLY-RXN': 0.0,\n 'EVGA-RXN': -0.0,\n 'F16ALDOLASE-RXN (reverse)': -0.0,\n 'F16ALDOLASE-RXN__FRUCBISALD-CLASSI': -0.0,\n 'F16ALDOLASE-RXN__FRUCBISALD-CLASSII': 430519.0833333481,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__CPLX0-303': -0.0,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__CPLX0-7776': -0.0,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__EG11239-MONOMER': -0.0,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__F16B-CPLX': -0.0,\n 'F16BDEPHOS-RXN[CCO-PERI-BAC]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.60.': -0.0,\n 'FAD-OX-RXN': -0.0,\n 'FAD-RED-RXN-Ox-FAD-Flavoproteins/NADH/PROTON//Red-FADH2-Flavoproteins/NAD.62.': -0.0,\n 'FAD-RED-RXN-Ox-FAD-Flavoproteins/NADPH/PROTON//Red-FADH2-Flavoproteins/NADP.64.': -0.0,\n 'FADSYN-RXN': 91.0,\n 'FCLEPIM-RXN': -0.0,\n 'FCLREDUCT-RXN (reverse)': -0.0,\n 'FERREDOXIN--NAD+-REDUCTASE-RXN (reverse)': 10.999999999999998,\n 'FGAMSYN-RXN': 43851.00000000398,\n 'FHLMULTI-RXN': -0.0,\n 'FLAVONADPREDUCT-RXN (reverse)': -0.0,\n 'FMN-OX-RXN': -0.0,\n 'FMN-RED-RXN-Ox-FMN-Flavoproteins/NADH/PROTON//Red-FMNH2-Flavoproteins/NAD.62.': -0.0,\n 'FMN-RED-RXN-Ox-FMN-Flavoproteins/NADPH/PROTON//Red-FMNH2-Flavoproteins/NADP.64.': -0.0,\n 'FORMATEDEHYDROG-RXN-FORMATE/CPD-9728/PROTON//CARBON-DIOXIDE/REDUCED-MENAQUINONE/PROTON.67.': -0.0,\n 'FORMATEDEHYDROG-RXN-FORMATE/CPD-9728/PROTON//CARBON-DIOXIDE/REDUCED-MENAQUINONE/PROTON.67.__FORMATEDEHYDROGN-CPLX': -0.0,\n 'FORMYLTHFDEFORMYL-RXN-10-FORMYL-THF/WATER//THF/FORMATE/PROTON.40.': -0.0,\n 'FPPSYN-RXN': 4083.0000000000005,\n 'FRUCTOKINASE-RXN': -0.0,\n 'FUC4NACTRANS-RXN': 0.0,\n 'FUCISOM-RXN': -0.0,\n 'FUCISOM-RXN (reverse)': -0.0,\n 'FUCPALDOL-RXN': -0.0,\n 'FUCULOKIN-RXN': -0.0,\n 'FUMHYDR-RXN': -0.0,\n ...}"
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution.velocities"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:26.457570Z",
-     "end_time": "2023-04-28T10:02:26.460895Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                                              Reaction    Target  Estimated\n0                                         1.1.1.39-RXN  123358.0       -0.0\n1                                         1.1.1.83-RXN   10129.0       -0.0\n2                                       1.13.11.16-RXN     133.0        0.0\n3    1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...   15408.0    15408.0\n4    2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...    3129.0       -0.0\n..                                                 ...       ...        ...\n425  UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...     574.0      574.0\n426                                     URA-PHOSPH-RXN    7558.0       -0.0\n427                                   UROGENIIISYN-RXN   62030.0      107.0\n428                            URPHOS-RXN__URPHOS-CPLX  542101.0       -0.0\n429                                      XYLULOKIN-RXN   11537.0        0.0\n\n[430 rows x 3 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Reaction</th>\n      <th>Target</th>\n      <th>Estimated</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.1.1.39-RXN</td>\n      <td>123358.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.1.1.83-RXN</td>\n      <td>10129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1.13.11.16-RXN</td>\n      <td>133.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...</td>\n      <td>15408.0</td>\n      <td>15408.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...</td>\n      <td>3129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>425</th>\n      <td>UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...</td>\n      <td>574.0</td>\n      <td>574.0</td>\n    </tr>\n    <tr>\n      <th>426</th>\n      <td>URA-PHOSPH-RXN</td>\n      <td>7558.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>UROGENIIISYN-RXN</td>\n      <td>62030.0</td>\n      <td>107.0</td>\n    </tr>\n    <tr>\n      <th>428</th>\n      <td>URPHOS-RXN__URPHOS-CPLX</td>\n      <td>542101.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>429</th>\n      <td>XYLULOKIN-RXN</td>\n      <td>11537.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>430 rows × 3 columns</p>\n</div>"
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "comparison = {key: [kinetic[key], solution.velocities[key]] for key in kinetic.keys()}\n",
-    "comparison = pd.DataFrame(comparison).T.reset_index()\n",
-    "comparison.columns = [\"Reaction\", \"Target\", \"Estimated\"]\n",
-    "# comparison = comparison.melt(id_vars=\"Reaction\", value_vars=[\"Target\", \"Estimated\"], var_name=\"Type\", value_name=\"Flux\")\n",
-    "comparison"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:26.469053Z",
-     "end_time": "2023-04-28T10:02:26.494442Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<Figure size 432x288 with 1 Axes>",
-      "image/png": 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\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.scatterplot(x=\"Target\", y=\"Estimated\", data=comparison)\n",
-    "plt.yscale('log')"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:26.477709Z",
-     "end_time": "2023-04-28T10:02:26.576911Z"
-    }
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Evaluate actual sim fluxes"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "dict_keys(['estimated_fluxes', 'estimated_homeostatic_dmdt', 'target_homeostatic_dmdt', 'target_kinetic_fluxes', 'estimated_exchange_dmdt', 'estimated_intermediate_dmdt', 'maintenance_target', 'reaction_catalyst_counts', 'time_per_step', 'unconstrained_molecules', 'constrained_molecules'])"
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba.keys()"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                                              Reaction    Target  Estimated\n0                                         1.1.1.39-RXN  123358.0       -0.0\n1                                         1.1.1.83-RXN   10129.0       -0.0\n2                                       1.13.11.16-RXN     133.0        0.0\n3    1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...   15408.0    15408.0\n4    2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...    3129.0       -0.0\n..                                                 ...       ...        ...\n425  UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...     574.0      574.0\n426                                     URA-PHOSPH-RXN    7558.0       -0.0\n427                                   UROGENIIISYN-RXN   62030.0      107.0\n428                            URPHOS-RXN__URPHOS-CPLX  542101.0       -0.0\n429                                      XYLULOKIN-RXN   11537.0        0.0\n\n[430 rows x 3 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Reaction</th>\n      <th>Target</th>\n      <th>Estimated</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.1.1.39-RXN</td>\n      <td>123358.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.1.1.83-RXN</td>\n      <td>10129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1.13.11.16-RXN</td>\n      <td>133.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...</td>\n      <td>15408.0</td>\n      <td>15408.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...</td>\n      <td>3129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>425</th>\n      <td>UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...</td>\n      <td>574.0</td>\n      <td>574.0</td>\n    </tr>\n    <tr>\n      <th>426</th>\n      <td>URA-PHOSPH-RXN</td>\n      <td>7558.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>UROGENIIISYN-RXN</td>\n      <td>62030.0</td>\n      <td>107.0</td>\n    </tr>\n    <tr>\n      <th>428</th>\n      <td>URPHOS-RXN__URPHOS-CPLX</td>\n      <td>542101.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>429</th>\n      <td>XYLULOKIN-RXN</td>\n      <td>11537.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>430 rows × 3 columns</p>\n</div>"
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sim_comparison = {key: [kinetic[key], solution.velocities[key]] for key in kinetic.keys()}\n",
-    "sim_comparison = pd.DataFrame(sim_comparison).T.reset_index()\n",
-    "sim_comparison.columns = [\"Reaction\", \"Target\", \"Estimated\"]\n",
-    "# comparison = comparison.melt(id_vars=\"Reaction\", value_vars=[\"Target\", \"Estimated\"], var_name=\"Type\", value_name=\"Flux\")\n",
-    "sim_comparison"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false
-   }
   }
  ],
  "metadata": {

From 352adf76aa817ee2be0fa32b40180e05e248086e Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Tue, 13 Jun 2023 18:05:30 -0700
Subject: [PATCH 03/58] New metal binding investigation notebook started.

---
 ecoli/processes/metabolism_redux.py           |  10 +-
 notebooks/fbagd/metal_binding.ipynb           | 578 ++++++++++++++++++
 notebooks/fbagd/{ => old}/comparison.ipynb    |   0
 notebooks/fbagd/{ => old}/graph_work.ipynb    |   0
 .../fbagd/{ => old}/test_environments.ipynb   |   0
 .../fbagd/{ => old}/test_network_flow.ipynb   |   0
 6 files changed, 583 insertions(+), 5 deletions(-)
 create mode 100644 notebooks/fbagd/metal_binding.ipynb
 rename notebooks/fbagd/{ => old}/comparison.ipynb (100%)
 rename notebooks/fbagd/{ => old}/graph_work.ipynb (100%)
 rename notebooks/fbagd/{ => old}/test_environments.ipynb (100%)
 rename notebooks/fbagd/{ => old}/test_network_flow.ipynb (100%)

diff --git a/ecoli/processes/metabolism_redux.py b/ecoli/processes/metabolism_redux.py
index 0e208dc41..fbd5916ff 100644
--- a/ecoli/processes/metabolism_redux.py
+++ b/ecoli/processes/metabolism_redux.py
@@ -236,11 +236,11 @@ def next_update(self, timestep, states):
 
         # Initialize indices
         if self.homeostatic_metabolite_idx is None:
-            bulk_ids = states['bulk']['id']
-            self.homeostatic_metabolite_idx = bulk_name_to_idx(self.homeostatic_metabolites, bulk_ids)
-            self.catalyst_idx = bulk_name_to_idx(self.catalyst_ids, bulk_ids)
-            self.kinetics_enzymes_idx = bulk_name_to_idx(self.kinetic_constraint_enzymes, bulk_ids)
-            self.kinetics_substrates_idx = bulk_name_to_idx(self.kinetic_constraint_substrates, bulk_ids)
+            self.bulk_ids = states['bulk']['id']
+            self.homeostatic_metabolite_idx = bulk_name_to_idx(self.homeostatic_metabolites, self.bulk_ids)
+            self.catalyst_idx = bulk_name_to_idx(self.catalyst_ids, self.bulk_ids)
+            self.kinetics_enzymes_idx = bulk_name_to_idx(self.kinetic_constraint_enzymes, self.bulk_ids)
+            self.kinetics_substrates_idx = bulk_name_to_idx(self.kinetic_constraint_substrates, self.bulk_ids)
 
         # metabolites not in either set are constrained to zero uptake.
         exchange_data = states['environment']['exchange_data']
diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
new file mode 100644
index 000000000..4c7616b56
--- /dev/null
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -0,0 +1,578 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:51:20.160597Z",
+     "start_time": "2023-06-14T00:51:20.152508Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import pprint\n",
+    "import ast\n",
+    "import re\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
+    "stoich_series = complexation_rxn_df.loc[:,['id', 'stoichiometry']].dropna().reset_index(drop=True)\n",
+    "\n",
+    "stoich_list = []\n",
+    "for i, stoich in enumerate(stoich_series.loc[:, 'stoichiometry']):\n",
+    "\n",
+    "    stoich = stoich.replace('null', '-1')\n",
+    "\n",
+    "    stoich = ast.literal_eval(stoich)\n",
+    "    for k,v in stoich.items():\n",
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:27:24.284340Z",
+     "start_time": "2023-06-14T00:27:24.255231Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \n0                                1-PFK_RXN            None      None  \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None  \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None  \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None  \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None  \n...                                    ...             ...       ...  \n1096                        CPLX0-8053_RXN            None      None  \n1097                        CPLX0-8253_RXN            None      None  \n1098                          SRP-CPLX_RXN            None      None  \n1099                     CPLX0-7796APO_RXN            None      None  \n1100                         ARCB-CPLX_RXN            None      None  \n\n[1101 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors'])\n",
+    "pre_complex_df = pre_complex_df[pre_complex_df['stoichiometry'] > 0].reset_index(drop=True)\n",
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:27:24.393261Z",
+     "start_time": "2023-06-14T00:27:24.384037Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Connect to EcoCyc to go from Complex -> Cofactor + Metal sites"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:27:24.947856Z",
+     "start_time": "2023-06-14T00:27:24.702149Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPLX0-2423 404\n",
+      "CPLX0-3976 404\n",
+      "RECFOR-CPLX 404\n",
+      "CPLX0-7796APO 404\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(len(pre_complex_df.index)): #\n",
+    "\n",
+    "    complex = pre_complex_df.loc[i, 'complex']\n",
+    "\n",
+    "    req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=low'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    if r.status_code != 200:\n",
+    "        print(complex, r.status_code)\n",
+    "        continue\n",
+    "\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "\n",
+    "    if 'catalyzes' not in o:\n",
+    "        continue\n",
+    "    else:\n",
+    "        o = o['catalyzes']['Enzymatic-Reaction']\n",
+    "\n",
+    "    if type(o) is dict:\n",
+    "        o = [o]\n",
+    "\n",
+    "    for enzrxn in o:\n",
+    "        enz_id = enzrxn['@frameid']\n",
+    "\n",
+    "        enz_req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{enz_id}&detail=high'\n",
+    "\n",
+    "        re = s.get(enz_req_str)\n",
+    "        oe = xmltodict.parse(re.content)['ptools-xml']['Enzymatic-Reaction']\n",
+    "\n",
+    "        pre_complex_df.at[i, 'enzyme-reaction'] = enz_id\n",
+    "\n",
+    "        if \"cofactor\" in oe:\n",
+    "            # print(enz_id)\n",
+    "            oe = oe['cofactor']\n",
+    "\n",
+    "            if type(oe) is dict:\n",
+    "                oe = [oe]\n",
+    "\n",
+    "            cofactor_list = []\n",
+    "            for cofactor in oe:\n",
+    "                cof = cofactor['Compound']['@frameid']\n",
+    "                cofactor_list.append(cof)\n",
+    "                # print('\\t' + cof)\n",
+    "\n",
+    "            pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:30:16.728966Z",
+     "start_time": "2023-06-14T00:27:24.951037Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \n0                                               [MG+2]  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]  \n2                                         [MG+2, MN+2]  \n3                                              [CPD-7]  \n4                                               [MG+2]  \n...                                                ...  \n1096                                              None  \n1097                                              None  \n1098                                              None  \n1099                                              None  \n1100                                              None  \n\n[1101 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:33:26.092235Z",
+     "start_time": "2023-06-14T00:33:26.089956Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "pre_complex_df.to_csv('cofactors.csv', index=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:30:16.753298Z",
+     "start_time": "2023-06-14T00:30:16.746991Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Annotate table with counts"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df = pd.read_csv('notebooks/fbagd/cofactors.csv', sep=',').fillna('None')\n",
+    "complex_df.cofactors = complex_df.cofactors.apply(ast.literal_eval)\n",
+    "complex_df['counts'] = 0\n",
+    "\n",
+    "complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:28.339440Z",
+     "start_time": "2023-06-14T00:36:28.320620Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-06-13'\n",
+    "experiment = 'fba-redux'\n",
+    "entry = f'{experiment}_{time}_{date}'\n",
+    "folder = f'out/fbagd/{entry}/'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:28.924948Z",
+     "start_time": "2023-06-14T00:36:28.920224Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "outputs": [],
+   "source": [
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "# output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:29.971934Z",
+     "start_time": "2023-06-14T00:36:29.929670Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [],
+   "source": [
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:32.079905Z",
+     "start_time": "2023-06-14T00:36:30.429298Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "outputs": [],
+   "source": [
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "bulk_ids = metabolism.bulk_ids"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:33.092321Z",
+     "start_time": "2023-06-14T00:36:33.087330Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [],
+   "source": [
+    "bulk = pd.DataFrame(output['bulk'], columns=bulk_ids)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:33.836789Z",
+     "start_time": "2023-06-14T00:36:33.346590Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:36.678683Z",
+     "start_time": "2023-06-14T00:36:36.675655Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [],
+   "source": [
+    "for complex_name in complex_df['complex']:\n",
+    "    bulk_name = complex_name + '[c]'\n",
+    "\n",
+    "    if bulk_name in bulk_ids:\n",
+    "        complex_df.loc[complex_df['complex'] == complex_name, 'counts'] = bulk.at[24, bulk_name]\n",
+    "\n",
+    "    elif bulk_name not in bulk_ids:\n",
+    "        for cpd in list(bulk_ids):\n",
+    "            if complex_name in cpd and len(cpd) < len(complex_name) + 4:\n",
+    "                bulk_name = cpd\n",
+    "                complex_df.loc[complex_df['complex'] == complex_name, 'counts'] = bulk.at[24, bulk_name]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:44.842544Z",
+     "start_time": "2023-06-14T00:36:41.196542Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709      None   36915  \n390      None   19181  \n864      None   13436  \n487      None   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123      None       0  \n124      None       0  \n126      None       0  \n132      None       0  \n328      None       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>None</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>None</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>None</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df.sort_values(by='counts', ascending=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:44.849436Z",
+     "start_time": "2023-06-14T00:36:44.843038Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                        counts\ncofactors                     \nMG+2                     55738\nMN+2                     27211\nPYRIDOXAL_PHOSPHATE      24413\nZN+2                     12807\n23-DIPHOSPHOGLYCERATE    10058\nFAD                       8954\nK+                        5157\nCPD-7                     4556\nFE+2                      3256\nTHIAMINE-PYROPHOSPHATE    1868\nNI+2                      1375\nFMN                       1256\nHeme-b                    1025\nCU+2                       817\nHEME_O                     814\nNAD                        730\nCPD-6                      635\nHCO3                       426\nCO+2                       353\nNADP                       253\n3FE-4S                     212\nLIPOIC-ACID                180\nFE+3                       161\nCA+2                       155\nPROTOHEME                  139\nLYS                        116\nFMNH2                      110\nSIROHEME                    98\nFeS-Centers                 76\nAMMONIUM                    52\nCPD-23429                   46\nNADPH                       40\nCPD-15873                   40\nCPD-18260                   23\nCPD-8123                    17\nCPD0-1882                   15\nHEME_D                      13\nHEME_C                      13\nADENOSYLCOBALAMIN            9\nTOPAQUINONE                  3\nCPD0-2654                    0\nCPD-24862                    0\nCPD-17649                    0\nGTP                          0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cofactor_df = complex_df[['cofactors', 'counts']].explode('cofactors').groupby('cofactors').sum().sort_values(by='counts', ascending=False)\n",
+    "cofactor_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T01:04:07.589519Z",
+     "start_time": "2023-06-14T01:04:07.581678Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                        counts molecular_composition\ncofactors                                           \nMG+2                     55738                     0\nMN+2                     27211                     0\nPYRIDOXAL_PHOSPHATE      24413                     0\nZN+2                     12807                     0\n23-DIPHOSPHOGLYCERATE    10058                     0\nFAD                       8954                     0\nK+                        5157                     0\nCPD-7                     4556                     0\nFE+2                      3256                     0\nTHIAMINE-PYROPHOSPHATE    1868                     0\nNI+2                      1375                     0\nFMN                       1256                     0\nHeme-b                    1025                     0\nCU+2                       817                     0\nHEME_O                     814                     0\nNAD                        730                     0\nCPD-6                      635                     0\nHCO3                       426                     0\nCO+2                       353                     0\nNADP                       253                     0\n3FE-4S                     212                     0\nLIPOIC-ACID                180                     0\nFE+3                       161                     0\nCA+2                       155                     0\nPROTOHEME                  139                     0\nLYS                        116                     0\nFMNH2                      110                     0\nSIROHEME                    98                     0\nCPD-7                       76                     0\nAMMONIUM                    52                     0\nCPD-23429                   46                     0\nNADPH                       40                     0\nCPD-15873                   40                     0\nCPD-18260                   23                     0\nCPD-8123                    17                     0\nCPD0-1882                   15                     0\nHEME_D                      13                     0\nHEME_C                      13                     0\nADENOSYLCOBALAMIN            9                     0\nTOPAQUINONE                  3                     0\nCPD0-2654                    0                     0\nCPD-24862                    0                     0\nCPD-17649                    0                     0\nGTP                          0                     0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n      <th>molecular_composition</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>76</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# change name of index value FeS-Centers to CPD-7\n",
+    "\n",
+    "cofactor_df['molecular_composition'] = 0\n",
+    "cofactor_df['molecular_composition'] = cofactor_df['molecular_composition'].astype(object)\n",
+    "\n",
+    "cofactor_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T01:04:08.247670Z",
+     "start_time": "2023-06-14T01:04:08.243074Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MG+2\n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "Incompatible indexer with Series",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mValueError\u001B[0m                                Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3444974446.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     13\u001B[0m     \u001B[0mre_output\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m1\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     14\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 15\u001B[0;31m     \u001B[0mcofactor_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mat\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mcofactor_name\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'molecular_composition'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m   2281\u001B[0m                 \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Invalid call for scalar access (setting)!\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2282\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2283\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mkey\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2284\u001B[0m             \u001B[0;32mreturn\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2285\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m    721\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    722\u001B[0m         \u001B[0miloc\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m\"iloc\"\u001B[0m \u001B[0;32melse\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0miloc\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 723\u001B[0;31m         \u001B[0miloc\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    724\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    725\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_validate_key\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mkey\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0maxis\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1728\u001B[0m         \u001B[0;32mif\u001B[0m \u001B[0mtake_split_path\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1729\u001B[0m             \u001B[0;31m# We have to operate column-wise\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1730\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer_split_path\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1731\u001B[0m         \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1732\u001B[0m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_single_block\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer_split_path\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1749\u001B[0m             \u001B[0;32mfrom\u001B[0m \u001B[0mpandas\u001B[0m \u001B[0;32mimport\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1750\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1751\u001B[0;31m             \u001B[0mvalue\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_align_series\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mvalue\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1752\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1753\u001B[0m         \u001B[0;31m# Ensure we have something we can iterate over\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_align_series\u001B[0;34m(self, indexer, ser, multiindex_indexer)\u001B[0m\n\u001B[1;32m   2147\u001B[0m             \u001B[0;32mreturn\u001B[0m \u001B[0mser\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mreindex\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0max\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_values\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2148\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2149\u001B[0;31m         \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Incompatible indexer with Series\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2150\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2151\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_align_frame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdf\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mDataFrame\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mValueError\u001B[0m: Incompatible indexer with Series"
+     ]
+    }
+   ],
+   "source": [
+    "for cofactor_name in cofactor_df.index:\n",
+    "    mol = cofactor_name\n",
+    "    print(cofactor_name)\n",
+    "    mol = mol.replace('+', '%2b')\n",
+    "    mol_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{mol}&detail=low'\n",
+    "\n",
+    "    r = s.get(mol_str)\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']['Compound']['cml']['molecule']['formula']['@concise']\n",
+    "    #pp.pprint(o)\n",
+    "\n",
+    "    re_output = re.findall(r'[A-Z]+ \\d+', o)\n",
+    "    # split on space, convert number to int then make dict\n",
+    "    re_output = {i.split(' ')[0]: int(i.split(' ')[1]) for i in re_output}\n",
+    "\n",
+    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = re_output"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T01:04:09.511563Z",
+     "start_time": "2023-06-14T01:04:09.449429Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/notebooks/fbagd/comparison.ipynb b/notebooks/fbagd/old/comparison.ipynb
similarity index 100%
rename from notebooks/fbagd/comparison.ipynb
rename to notebooks/fbagd/old/comparison.ipynb
diff --git a/notebooks/fbagd/graph_work.ipynb b/notebooks/fbagd/old/graph_work.ipynb
similarity index 100%
rename from notebooks/fbagd/graph_work.ipynb
rename to notebooks/fbagd/old/graph_work.ipynb
diff --git a/notebooks/fbagd/test_environments.ipynb b/notebooks/fbagd/old/test_environments.ipynb
similarity index 100%
rename from notebooks/fbagd/test_environments.ipynb
rename to notebooks/fbagd/old/test_environments.ipynb
diff --git a/notebooks/fbagd/test_network_flow.ipynb b/notebooks/fbagd/old/test_network_flow.ipynb
similarity index 100%
rename from notebooks/fbagd/test_network_flow.ipynb
rename to notebooks/fbagd/old/test_network_flow.ipynb

From 743cd3ceb51dd16d2169da40f9d10bfb5a7bc059 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Wed, 14 Jun 2023 17:14:36 -0700
Subject: [PATCH 04/58] Investigating what fraction of iron goes to which
 enzymes.

---
 notebooks/fbagd/metal_binding.ipynb | 330 ++++++++++++++++++++++------
 1 file changed, 258 insertions(+), 72 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 4c7616b56..c76aa7b6d 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -246,14 +246,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 169,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 24,
+     "execution_count": 169,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -263,19 +263,22 @@
     "complex_df.cofactors = complex_df.cofactors.apply(ast.literal_eval)\n",
     "complex_df['counts'] = 0\n",
     "\n",
+    "# replace None with empty list\n",
+    "complex_df['cofactors'] = complex_df['cofactors'].apply(lambda x: [] if x is None else x)\n",
+    "\n",
     "complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:28.339440Z",
-     "start_time": "2023-06-14T00:36:28.320620Z"
+     "end_time": "2023-06-14T21:11:57.117402Z",
+     "start_time": "2023-06-14T21:11:57.103792Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 170,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -287,14 +290,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:28.924948Z",
-     "start_time": "2023-06-14T00:36:28.920224Z"
+     "end_time": "2023-06-14T21:12:16.631995Z",
+     "start_time": "2023-06-14T21:12:16.630454Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 171,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -306,14 +309,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:29.971934Z",
-     "start_time": "2023-06-14T00:36:29.929670Z"
+     "end_time": "2023-06-14T21:12:17.089573Z",
+     "start_time": "2023-06-14T21:12:17.010486Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 172,
    "outputs": [],
    "source": [
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
@@ -323,14 +326,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:32.079905Z",
-     "start_time": "2023-06-14T00:36:30.429298Z"
+     "end_time": "2023-06-14T21:12:17.951305Z",
+     "start_time": "2023-06-14T21:12:17.442672Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 173,
    "outputs": [],
    "source": [
     "metabolism = agent['ecoli-metabolism-redux']\n",
@@ -340,14 +343,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:33.092321Z",
-     "start_time": "2023-06-14T00:36:33.087330Z"
+     "end_time": "2023-06-14T21:12:17.956297Z",
+     "start_time": "2023-06-14T21:12:17.954605Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 174,
    "outputs": [],
    "source": [
     "bulk = pd.DataFrame(output['bulk'], columns=bulk_ids)"
@@ -355,21 +358,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:33.836789Z",
-     "start_time": "2023-06-14T00:36:33.346590Z"
+     "end_time": "2023-06-14T21:12:18.753896Z",
+     "start_time": "2023-06-14T21:12:18.172277Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 175,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 31,
+     "execution_count": 175,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -380,14 +383,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:36.678683Z",
-     "start_time": "2023-06-14T00:36:36.675655Z"
+     "end_time": "2023-06-14T21:12:18.761011Z",
+     "start_time": "2023-06-14T21:12:18.758491Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 176,
    "outputs": [],
    "source": [
     "for complex_name in complex_df['complex']:\n",
@@ -405,21 +408,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:44.842544Z",
-     "start_time": "2023-06-14T00:36:41.196542Z"
+     "end_time": "2023-06-14T21:12:25.830761Z",
+     "start_time": "2023-06-14T21:12:22.273449Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 177,
    "outputs": [
     {
      "data": {
-      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709      None   36915  \n390      None   19181  \n864      None   13436  \n487      None   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123      None       0  \n124      None       0  \n126      None       0  \n132      None       0  \n328      None       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>None</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>None</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>None</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709        []   36915  \n390        []   19181  \n864        []   13436  \n487        []   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123        []       0  \n124        []       0  \n126        []       0  \n132        []       0  \n328        []       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>[]</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>[]</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>[]</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 33,
+     "execution_count": 177,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -430,21 +433,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:44.849436Z",
-     "start_time": "2023-06-14T00:36:44.843038Z"
+     "end_time": "2023-06-14T21:12:25.837788Z",
+     "start_time": "2023-06-14T21:12:25.831167Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 179,
    "outputs": [
     {
      "data": {
       "text/plain": "                        counts\ncofactors                     \nMG+2                     55738\nMN+2                     27211\nPYRIDOXAL_PHOSPHATE      24413\nZN+2                     12807\n23-DIPHOSPHOGLYCERATE    10058\nFAD                       8954\nK+                        5157\nCPD-7                     4556\nFE+2                      3256\nTHIAMINE-PYROPHOSPHATE    1868\nNI+2                      1375\nFMN                       1256\nHeme-b                    1025\nCU+2                       817\nHEME_O                     814\nNAD                        730\nCPD-6                      635\nHCO3                       426\nCO+2                       353\nNADP                       253\n3FE-4S                     212\nLIPOIC-ACID                180\nFE+3                       161\nCA+2                       155\nPROTOHEME                  139\nLYS                        116\nFMNH2                      110\nSIROHEME                    98\nFeS-Centers                 76\nAMMONIUM                    52\nCPD-23429                   46\nNADPH                       40\nCPD-15873                   40\nCPD-18260                   23\nCPD-8123                    17\nCPD0-1882                   15\nHEME_D                      13\nHEME_C                      13\nADENOSYLCOBALAMIN            9\nTOPAQUINONE                  3\nCPD0-2654                    0\nCPD-24862                    0\nCPD-17649                    0\nGTP                          0",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 94,
+     "execution_count": 179,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -456,21 +459,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T01:04:07.589519Z",
-     "start_time": "2023-06-14T01:04:07.581678Z"
+     "end_time": "2023-06-14T21:12:43.875673Z",
+     "start_time": "2023-06-14T21:12:43.867800Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 180,
    "outputs": [
     {
      "data": {
-      "text/plain": "                        counts molecular_composition\ncofactors                                           \nMG+2                     55738                     0\nMN+2                     27211                     0\nPYRIDOXAL_PHOSPHATE      24413                     0\nZN+2                     12807                     0\n23-DIPHOSPHOGLYCERATE    10058                     0\nFAD                       8954                     0\nK+                        5157                     0\nCPD-7                     4556                     0\nFE+2                      3256                     0\nTHIAMINE-PYROPHOSPHATE    1868                     0\nNI+2                      1375                     0\nFMN                       1256                     0\nHeme-b                    1025                     0\nCU+2                       817                     0\nHEME_O                     814                     0\nNAD                        730                     0\nCPD-6                      635                     0\nHCO3                       426                     0\nCO+2                       353                     0\nNADP                       253                     0\n3FE-4S                     212                     0\nLIPOIC-ACID                180                     0\nFE+3                       161                     0\nCA+2                       155                     0\nPROTOHEME                  139                     0\nLYS                        116                     0\nFMNH2                      110                     0\nSIROHEME                    98                     0\nCPD-7                       76                     0\nAMMONIUM                    52                     0\nCPD-23429                   46                     0\nNADPH                       40                     0\nCPD-15873                   40                     0\nCPD-18260                   23                     0\nCPD-8123                    17                     0\nCPD0-1882                   15                     0\nHEME_D                      13                     0\nHEME_C                      13                     0\nADENOSYLCOBALAMIN            9                     0\nTOPAQUINONE                  3                     0\nCPD0-2654                    0                     0\nCPD-24862                    0                     0\nCPD-17649                    0                     0\nGTP                          0                     0",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n      <th>molecular_composition</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>76</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        counts molecular_composition\ncofactors                                           \nMG+2                     55738                     0\nMN+2                     27211                     0\nPYRIDOXAL_PHOSPHATE      24413                     0\nZN+2                     12807                     0\n23-DIPHOSPHOGLYCERATE    10058                     0\nFAD                       8954                     0\nK+                        5157                     0\nCPD-7                     4556                     0\nFE+2                      3256                     0\nTHIAMINE-PYROPHOSPHATE    1868                     0\nNI+2                      1375                     0\nFMN                       1256                     0\nHeme-b                    1025                     0\nCU+2                       817                     0\nHEME_O                     814                     0\nNAD                        730                     0\nCPD-6                      635                     0\nHCO3                       426                     0\nCO+2                       353                     0\nNADP                       253                     0\n3FE-4S                     212                     0\nLIPOIC-ACID                180                     0\nFE+3                       161                     0\nCA+2                       155                     0\nPROTOHEME                  139                     0\nLYS                        116                     0\nFMNH2                      110                     0\nSIROHEME                    98                     0\nFeS-Centers                 76                     0\nAMMONIUM                    52                     0\nCPD-23429                   46                     0\nNADPH                       40                     0\nCPD-15873                   40                     0\nCPD-18260                   23                     0\nCPD-8123                    17                     0\nCPD0-1882                   15                     0\nHEME_D                      13                     0\nHEME_C                      13                     0\nADENOSYLCOBALAMIN            9                     0\nTOPAQUINONE                  3                     0\nCPD0-2654                    0                     0\nCPD-24862                    0                     0\nCPD-17649                    0                     0\nGTP                          0                     0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n      <th>molecular_composition</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 95,
+     "execution_count": 180,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -486,61 +489,244 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T01:04:08.247670Z",
-     "start_time": "2023-06-14T01:04:08.243074Z"
+     "end_time": "2023-06-14T21:12:45.786557Z",
+     "start_time": "2023-06-14T21:12:45.782639Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 181,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "MG+2\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Incompatible indexer with Series",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mValueError\u001B[0m                                Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3444974446.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     13\u001B[0m     \u001B[0mre_output\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m1\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     14\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 15\u001B[0;31m     \u001B[0mcofactor_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mat\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mcofactor_name\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'molecular_composition'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m   2281\u001B[0m                 \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Invalid call for scalar access (setting)!\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2282\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2283\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mkey\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2284\u001B[0m             \u001B[0;32mreturn\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2285\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m    721\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    722\u001B[0m         \u001B[0miloc\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m\"iloc\"\u001B[0m \u001B[0;32melse\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0miloc\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 723\u001B[0;31m         \u001B[0miloc\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    724\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    725\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_validate_key\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mkey\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0maxis\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1728\u001B[0m         \u001B[0;32mif\u001B[0m \u001B[0mtake_split_path\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1729\u001B[0m             \u001B[0;31m# We have to operate column-wise\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1730\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer_split_path\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1731\u001B[0m         \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1732\u001B[0m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_single_block\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer_split_path\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1749\u001B[0m             \u001B[0;32mfrom\u001B[0m \u001B[0mpandas\u001B[0m \u001B[0;32mimport\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1750\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1751\u001B[0;31m             \u001B[0mvalue\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_align_series\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mvalue\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1752\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1753\u001B[0m         \u001B[0;31m# Ensure we have something we can iterate over\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_align_series\u001B[0;34m(self, indexer, ser, multiindex_indexer)\u001B[0m\n\u001B[1;32m   2147\u001B[0m             \u001B[0;32mreturn\u001B[0m \u001B[0mser\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mreindex\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0max\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_values\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2148\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2149\u001B[0;31m         \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Incompatible indexer with Series\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2150\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2151\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_align_frame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdf\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mDataFrame\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mValueError\u001B[0m: Incompatible indexer with Series"
+      "No cml for FeS-Centers\n",
+      "No cml for CPD-17649\n"
      ]
     }
    ],
    "source": [
     "for cofactor_name in cofactor_df.index:\n",
     "    mol = cofactor_name\n",
-    "    print(cofactor_name)\n",
     "    mol = mol.replace('+', '%2b')\n",
     "    mol_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{mol}&detail=low'\n",
     "\n",
     "    r = s.get(mol_str)\n",
-    "    o = xmltodict.parse(r.content)['ptools-xml']['Compound']['cml']['molecule']['formula']['@concise']\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']['Compound']\n",
+    "\n",
+    "    if 'cml' not in o:\n",
+    "        print(f'No cml for {cofactor_name}')\n",
+    "        cofactor_df.at[cofactor_name, 'molecular_composition'] = {}\n",
+    "        continue\n",
+    "    else:\n",
+    "        atom_array = o['cml']['molecule']['atomArray']['atom']\n",
     "    #pp.pprint(o)\n",
     "\n",
-    "    re_output = re.findall(r'[A-Z]+ \\d+', o)\n",
-    "    # split on space, convert number to int then make dict\n",
-    "    re_output = {i.split(' ')[0]: int(i.split(' ')[1]) for i in re_output}\n",
+    "    if type(atom_array) is dict:\n",
+    "        atom_array = [atom_array]\n",
+    "\n",
+    "    element_dict = {}\n",
+    "    # go through entries of atom array and add 1 to key of element_dict\n",
+    "    for atom in atom_array:\n",
+    "        element = atom['@elementType']\n",
+    "        if element in element_dict:\n",
+    "            element_dict[element] += 1\n",
+    "        else:\n",
+    "            element_dict[element] = 1\n",
     "\n",
-    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = re_output"
+    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = element_dict"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:12:56.625228Z",
+     "start_time": "2023-06-14T21:12:54.239650Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "outputs": [],
+   "source": [
+    "for cofactor_name in ['FeS-Centers', 'CPD-17649']:\n",
+    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = {'FE': 4, 'S': 4}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:12:58.850805Z",
+     "start_time": "2023-06-14T21:12:58.848417Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                         MG   MN     C     N     O    P   ZN    K   FE    S  \\\ncofactors                                                                     \nMG+2                    1.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nMN+2                    0.0  1.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPYRIDOXAL_PHOSPHATE     0.0  0.0   8.0   1.0   6.0  1.0  0.0  0.0  0.0  0.0   \nZN+2                    0.0  0.0   0.0   0.0   0.0  0.0  1.0  0.0  0.0  0.0   \n23-DIPHOSPHOGLYCERATE   0.0  0.0   3.0   0.0  10.0  2.0  0.0  0.0  0.0  0.0   \nFAD                     0.0  0.0  27.0   9.0  15.0  2.0  0.0  0.0  0.0  0.0   \nK+                      0.0  0.0   0.0   0.0   0.0  0.0  0.0  1.0  0.0  0.0   \nCPD-7                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nFE+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  12.0   4.0   7.0  2.0  0.0  0.0  0.0  1.0   \nNI+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nFMN                     0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nHeme-b                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nCU+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nHEME_O                  0.0  0.0  49.0   4.0   5.0  0.0  0.0  0.0  1.0  0.0   \nNAD                     0.0  0.0  21.0   7.0  14.0  2.0  0.0  0.0  0.0  0.0   \nCPD-6                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  2.0  6.0   \nHCO3                    0.0  0.0   1.0   0.0   3.0  0.0  0.0  0.0  0.0  0.0   \nCO+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nNADP                    0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \n3FE-4S                  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  3.0  4.0   \nLIPOIC-ACID             0.0  0.0   8.0   0.0   2.0  0.0  0.0  0.0  0.0  2.0   \nFE+3                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nCA+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPROTOHEME               0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nLYS                     0.0  0.0   6.0   2.0   2.0  0.0  0.0  0.0  0.0  0.0   \nFMNH2                   0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nSIROHEME                0.0  0.0  42.0   4.0  16.0  0.0  0.0  0.0  1.0  0.0   \nFeS-Centers             0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nAMMONIUM                0.0  0.0   0.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \nCPD-23429               0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nNADPH                   0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \nCPD-15873               0.0  0.0  40.0  20.0  27.0  4.0  0.0  0.0  0.0  4.0   \nCPD-18260               0.0  0.0  22.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nCPD-8123                0.0  0.0  10.0   5.0   8.0  1.0  0.0  0.0  0.0  2.0   \nCPD0-1882               0.0  0.0  19.0   8.0  15.0  2.0  0.0  0.0  0.0  2.0   \nHEME_D                  0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nHEME_C                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  2.0   \nADENOSYLCOBALAMIN       0.0  0.0  72.0  18.0  17.0  1.0  0.0  0.0  0.0  0.0   \nTOPAQUINONE             0.0  0.0   9.0   1.0   4.0  0.0  0.0  0.0  0.0  0.0   \nCPD0-2654               0.0  0.0   3.0   0.0   2.0  0.0  0.0  0.0  0.0  0.0   \nCPD-24862               0.0  0.0   3.0   2.0   1.0  0.0  0.0  0.0  1.0  4.0   \nCPD-17649               0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nGTP                     0.0  0.0  10.0   5.0  14.0  3.0  0.0  0.0  0.0  0.0   \n\n                         NI   CU    R   CO   CA    H   MO  Proteins  \ncofactors                                                            \nMG+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nMN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nPYRIDOXAL_PHOSPHATE     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nZN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n23-DIPHOSPHOGLYCERATE   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nK+                      0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-7                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNI+2                    1.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMN                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHeme-b                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCU+2                    0.0  1.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_O                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-6                   0.0  0.0  4.0  0.0  0.0  0.0  0.0       0.0  \nHCO3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCO+2                    0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nNADP                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n3FE-4S                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLIPOIC-ACID             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCA+2                    0.0  0.0  0.0  0.0  1.0  0.0  0.0       0.0  \nPROTOHEME               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLYS                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMNH2                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nSIROHEME                0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFeS-Centers             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nAMMONIUM                0.0  0.0  0.0  0.0  0.0  4.0  0.0       0.0  \nCPD-23429               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNADPH                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-15873               0.0  0.0  0.0  0.0  0.0  6.0  1.0       0.0  \nCPD-18260               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-8123                0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nCPD0-1882               0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nHEME_D                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_C                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nADENOSYLCOBALAMIN       0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nTOPAQUINONE             0.0  0.0  0.0  0.0  0.0  0.0  0.0       2.0  \nCPD0-2654               0.0  0.0  0.0  0.0  0.0  0.0  0.0       1.0  \nCPD-24862               1.0  0.0  0.0  0.0  0.0  0.0  0.0       4.0  \nCPD-17649               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nGTP                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>MG</th>\n      <th>MN</th>\n      <th>C</th>\n      <th>N</th>\n      <th>O</th>\n      <th>P</th>\n      <th>ZN</th>\n      <th>K</th>\n      <th>FE</th>\n      <th>S</th>\n      <th>NI</th>\n      <th>CU</th>\n      <th>R</th>\n      <th>CO</th>\n      <th>CA</th>\n      <th>H</th>\n      <th>MO</th>\n      <th>Proteins</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>27.0</td>\n      <td>9.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>7.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>49.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>14.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>4.0</td>\n      <td>16.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>40.0</td>\n      <td>20.0</td>\n      <td>27.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>22.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>19.0</td>\n      <td>8.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>72.0</td>\n      <td>18.0</td>\n      <td>17.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>14.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 183,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "element_matrix = cofactor_df['molecular_composition'].apply(pd.Series).fillna(0)\n",
+    "element_matrix"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:12:59.340568Z",
+     "start_time": "2023-06-14T21:12:59.273206Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "outputs": [],
+   "source": [
+    "metals = ['MG', 'MN', 'ZN', 'FE', 'NI', 'CU', 'CO', 'CA', 'MO']\n",
+    "metal_distribution = pd.DataFrame(index=element_matrix.index, columns=metals).fillna(0)\n",
+    "for element in metals:\n",
+    "    metal_distribution.loc[:, element] = cofactor_df['counts'] * element_matrix.loc[:, element]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:13:01.747717Z",
+     "start_time": "2023-06-14T21:13:01.743268Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "cofactors\nCPD-7                     18224.0\nFE+2                       3256.0\nCPD-6                      1270.0\nHeme-b                     1025.0\nHEME_O                      814.0\n3FE-4S                      636.0\nFeS-Centers                 304.0\nFE+3                        161.0\nPROTOHEME                   139.0\nSIROHEME                     98.0\nCPD-23429                    46.0\nHEME_D                       13.0\nHEME_C                       13.0\nNADPH                         0.0\nCPD-17649                     0.0\nAMMONIUM                      0.0\nCPD-24862                     0.0\nADENOSYLCOBALAMIN             0.0\nCPD-15873                     0.0\nCPD-18260                     0.0\nTOPAQUINONE                   0.0\nCPD-8123                      0.0\nFMNH2                         0.0\nCPD0-1882                     0.0\nCPD0-2654                     0.0\nMG+2                          0.0\nLYS                           0.0\nCA+2                          0.0\nPYRIDOXAL_PHOSPHATE           0.0\nZN+2                          0.0\n23-DIPHOSPHOGLYCERATE         0.0\nFAD                           0.0\nK+                            0.0\nTHIAMINE-PYROPHOSPHATE        0.0\nNI+2                          0.0\nFMN                           0.0\nCU+2                          0.0\nNAD                           0.0\nHCO3                          0.0\nCO+2                          0.0\nNADP                          0.0\nLIPOIC-ACID                   0.0\nMN+2                          0.0\nGTP                           0.0\nName: FE, dtype: float64"
+     },
+     "execution_count": 185,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metal_distribution.sort_values(by='FE', ascending=False)['FE']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:13:02.119465Z",
+     "start_time": "2023-06-14T21:13:02.115059Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Chain iron content back to enzymes"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]      31  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]      86  \n2                                         [MG+2, MN+2]    1065  \n3                                              [CPD-7]    2631  \n4                                               [MG+2]     174  \n...                                                ...     ...  \n1096                                                []     208  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []      50  \n1100                                                []       1  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>31</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>86</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>1065</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>2631</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>174</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>208</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>50</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df.loc[:]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:13:05.545868Z",
+     "start_time": "2023-06-14T21:13:05.541941Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                     complex    cofactors  counts  fe_counts  fe_counts_norm\n7    3-ISOPROPYLMALISOM-CPLX        CPD-7    2631    10524.0       40.478480\n31                 ADHE-CPLX         FE+2      93       93.0        0.357706\n43     ANGLYC3PDEHYDROG-CPLX  FeS-Centers      69      276.0        1.061579\n48            APP-UBIOX-CPLX       HEME_D      13       13.0        0.050002\n49            APP-UBIOX-CPLX       Heme-b      13       13.0        0.050002\n..                       ...          ...     ...        ...             ...\n415      SULFITE-REDUCT-CPLX        CPD-7      93      372.0        1.430824\n418      SULFITE-REDUCT-CPLX     SIROHEME      93       93.0        0.357706\n419    SUPEROX-DISMUTFE-CPLX         FE+3     161      161.0        0.619255\n424          THREODEHYD-CPLX         FE+2      33       33.0        0.126928\n429         TMAOREDUCTI-CPLX       HEME_C       3        3.0        0.011539\n\n[65 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>counts</th>\n      <th>fe_counts</th>\n      <th>fe_counts_norm</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>7</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>CPD-7</td>\n      <td>2631</td>\n      <td>10524.0</td>\n      <td>40.478480</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>ADHE-CPLX</td>\n      <td>FE+2</td>\n      <td>93</td>\n      <td>93.0</td>\n      <td>0.357706</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td>ANGLYC3PDEHYDROG-CPLX</td>\n      <td>FeS-Centers</td>\n      <td>69</td>\n      <td>276.0</td>\n      <td>1.061579</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>APP-UBIOX-CPLX</td>\n      <td>HEME_D</td>\n      <td>13</td>\n      <td>13.0</td>\n      <td>0.050002</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>APP-UBIOX-CPLX</td>\n      <td>Heme-b</td>\n      <td>13</td>\n      <td>13.0</td>\n      <td>0.050002</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>415</th>\n      <td>SULFITE-REDUCT-CPLX</td>\n      <td>CPD-7</td>\n      <td>93</td>\n      <td>372.0</td>\n      <td>1.430824</td>\n    </tr>\n    <tr>\n      <th>418</th>\n      <td>SULFITE-REDUCT-CPLX</td>\n      <td>SIROHEME</td>\n      <td>93</td>\n      <td>93.0</td>\n      <td>0.357706</td>\n    </tr>\n    <tr>\n      <th>419</th>\n      <td>SUPEROX-DISMUTFE-CPLX</td>\n      <td>FE+3</td>\n      <td>161</td>\n      <td>161.0</td>\n      <td>0.619255</td>\n    </tr>\n    <tr>\n      <th>424</th>\n      <td>THREODEHYD-CPLX</td>\n      <td>FE+2</td>\n      <td>33</td>\n      <td>33.0</td>\n      <td>0.126928</td>\n    </tr>\n    <tr>\n      <th>429</th>\n      <td>TMAOREDUCTI-CPLX</td>\n      <td>HEME_C</td>\n      <td>3</td>\n      <td>3.0</td>\n      <td>0.011539</td>\n    </tr>\n  </tbody>\n</table>\n<p>65 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 223,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# filter cofactors in element matrix that have FE coefficient > 0\n",
+    "fe_cofactors = list(element_matrix[element_matrix['FE'] > 0].index)\n",
+    "\n",
+    "# filter complex_df to only include complexes where one of the cofactors is in fe_cofactors\n",
+    "exploded_complexes = complex_df.explode('cofactors').dropna().reset_index(drop=True)\n",
+    "fe_complexes = exploded_complexes.loc[exploded_complexes.cofactors.isin(fe_cofactors), ['complex', 'cofactors', 'counts']]\n",
+    "fe_complexes\n",
+    "\n",
+    "# add column that multiplies counts by number of FE atoms in cofactor based on element matrix\n",
+    "fe_complexes['fe_counts'] = 0\n",
+    "for cofactor in fe_cofactors:\n",
+    "    fe_complexes.loc[fe_complexes['cofactors'] == cofactor, 'fe_counts'] = fe_complexes.loc[fe_complexes['cofactors'] == cofactor, 'counts'] * element_matrix.loc[cofactor, 'FE']\n",
+    "\n",
+    "# add a column that divides the fe_counts by the total sum of fe_counts\n",
+    "fe_complexes['fe_counts_norm'] = 100 * fe_complexes['fe_counts'] / fe_complexes['fe_counts'].sum()\n",
+    "\n",
+    "fe_complexes"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:37:22.090616Z",
+     "start_time": "2023-06-14T21:37:22.071682Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                         MG   MN     C     N     O    P   ZN    K   FE    S  \\\ncofactors                                                                     \nMG+2                    1.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nMN+2                    0.0  1.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPYRIDOXAL_PHOSPHATE     0.0  0.0   8.0   1.0   6.0  1.0  0.0  0.0  0.0  0.0   \nZN+2                    0.0  0.0   0.0   0.0   0.0  0.0  1.0  0.0  0.0  0.0   \n23-DIPHOSPHOGLYCERATE   0.0  0.0   3.0   0.0  10.0  2.0  0.0  0.0  0.0  0.0   \nFAD                     0.0  0.0  27.0   9.0  15.0  2.0  0.0  0.0  0.0  0.0   \nK+                      0.0  0.0   0.0   0.0   0.0  0.0  0.0  1.0  0.0  0.0   \nCPD-7                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nFE+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  12.0   4.0   7.0  2.0  0.0  0.0  0.0  1.0   \nNI+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nFMN                     0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nHeme-b                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nCU+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nHEME_O                  0.0  0.0  49.0   4.0   5.0  0.0  0.0  0.0  1.0  0.0   \nNAD                     0.0  0.0  21.0   7.0  14.0  2.0  0.0  0.0  0.0  0.0   \nCPD-6                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  2.0  6.0   \nHCO3                    0.0  0.0   1.0   0.0   3.0  0.0  0.0  0.0  0.0  0.0   \nCO+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nNADP                    0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \n3FE-4S                  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  3.0  4.0   \nLIPOIC-ACID             0.0  0.0   8.0   0.0   2.0  0.0  0.0  0.0  0.0  2.0   \nFE+3                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nCA+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPROTOHEME               0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nLYS                     0.0  0.0   6.0   2.0   2.0  0.0  0.0  0.0  0.0  0.0   \nFMNH2                   0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nSIROHEME                0.0  0.0  42.0   4.0  16.0  0.0  0.0  0.0  1.0  0.0   \nFeS-Centers             0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nAMMONIUM                0.0  0.0   0.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \nCPD-23429               0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nNADPH                   0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \nCPD-15873               0.0  0.0  40.0  20.0  27.0  4.0  0.0  0.0  0.0  4.0   \nCPD-18260               0.0  0.0  22.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nCPD-8123                0.0  0.0  10.0   5.0   8.0  1.0  0.0  0.0  0.0  2.0   \nCPD0-1882               0.0  0.0  19.0   8.0  15.0  2.0  0.0  0.0  0.0  2.0   \nHEME_D                  0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nHEME_C                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  2.0   \nADENOSYLCOBALAMIN       0.0  0.0  72.0  18.0  17.0  1.0  0.0  0.0  0.0  0.0   \nTOPAQUINONE             0.0  0.0   9.0   1.0   4.0  0.0  0.0  0.0  0.0  0.0   \nCPD0-2654               0.0  0.0   3.0   0.0   2.0  0.0  0.0  0.0  0.0  0.0   \nCPD-24862               0.0  0.0   3.0   2.0   1.0  0.0  0.0  0.0  1.0  4.0   \nCPD-17649               0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nGTP                     0.0  0.0  10.0   5.0  14.0  3.0  0.0  0.0  0.0  0.0   \n\n                         NI   CU    R   CO   CA    H   MO  Proteins  \ncofactors                                                            \nMG+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nMN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nPYRIDOXAL_PHOSPHATE     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nZN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n23-DIPHOSPHOGLYCERATE   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nK+                      0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-7                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNI+2                    1.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMN                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHeme-b                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCU+2                    0.0  1.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_O                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-6                   0.0  0.0  4.0  0.0  0.0  0.0  0.0       0.0  \nHCO3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCO+2                    0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nNADP                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n3FE-4S                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLIPOIC-ACID             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCA+2                    0.0  0.0  0.0  0.0  1.0  0.0  0.0       0.0  \nPROTOHEME               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLYS                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMNH2                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nSIROHEME                0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFeS-Centers             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nAMMONIUM                0.0  0.0  0.0  0.0  0.0  4.0  0.0       0.0  \nCPD-23429               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNADPH                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-15873               0.0  0.0  0.0  0.0  0.0  6.0  1.0       0.0  \nCPD-18260               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-8123                0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nCPD0-1882               0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nHEME_D                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_C                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nADENOSYLCOBALAMIN       0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nTOPAQUINONE             0.0  0.0  0.0  0.0  0.0  0.0  0.0       2.0  \nCPD0-2654               0.0  0.0  0.0  0.0  0.0  0.0  0.0       1.0  \nCPD-24862               1.0  0.0  0.0  0.0  0.0  0.0  0.0       4.0  \nCPD-17649               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nGTP                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>MG</th>\n      <th>MN</th>\n      <th>C</th>\n      <th>N</th>\n      <th>O</th>\n      <th>P</th>\n      <th>ZN</th>\n      <th>K</th>\n      <th>FE</th>\n      <th>S</th>\n      <th>NI</th>\n      <th>CU</th>\n      <th>R</th>\n      <th>CO</th>\n      <th>CA</th>\n      <th>H</th>\n      <th>MO</th>\n      <th>Proteins</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>27.0</td>\n      <td>9.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>7.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>49.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>14.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>4.0</td>\n      <td>16.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>40.0</td>\n      <td>20.0</td>\n      <td>27.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>22.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>19.0</td>\n      <td>8.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>72.0</td>\n      <td>18.0</td>\n      <td>17.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>14.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 219,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "element_matrix"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T01:04:09.511563Z",
-     "start_time": "2023-06-14T01:04:09.449429Z"
+     "end_time": "2023-06-14T21:35:45.816464Z",
+     "start_time": "2023-06-14T21:35:45.813292Z"
     }
    }
   },

From dfc22c9705e3512b74fa0f6a79f0315249646343 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Fri, 16 Jun 2023 12:01:46 -0700
Subject: [PATCH 05/58] Almost finished protein feature metals.

---
 notebooks/fbagd/metal_binding.ipynb | 1400 ++++++++++++++++++++++++++-
 1 file changed, 1352 insertions(+), 48 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index c76aa7b6d..7744f23dc 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 414,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:51:20.160597Z",
-     "start_time": "2023-06-14T00:51:20.152508Z"
+     "end_time": "2023-06-16T17:31:33.299324Z",
+     "start_time": "2023-06-16T17:31:33.261196Z"
     }
    },
    "outputs": [],
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 415,
    "outputs": [],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
@@ -45,40 +45,40 @@
     "\n",
     "    stoich = ast.literal_eval(stoich)\n",
     "    for k,v in stoich.items():\n",
-    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None])"
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None, None])"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:27:24.284340Z",
-     "start_time": "2023-06-14T00:27:24.255231Z"
+     "end_time": "2023-06-16T17:31:33.540791Z",
+     "start_time": "2023-06-16T17:31:33.506172Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 416,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \n0                                1-PFK_RXN            None      None  \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None  \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None  \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None  \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None  \n...                                    ...             ...       ...  \n1096                        CPLX0-8053_RXN            None      None  \n1097                        CPLX0-8253_RXN            None      None  \n1098                          SRP-CPLX_RXN            None      None  \n1099                     CPLX0-7796APO_RXN            None      None  \n1100                         ARCB-CPLX_RXN            None      None  \n\n[1101 rows x 5 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal-binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal-binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 3,
+     "execution_count": 416,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors'])\n",
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors', 'metal_binding'])\n",
     "pre_complex_df = pre_complex_df[pre_complex_df['stoichiometry'] > 0].reset_index(drop=True)\n",
     "pre_complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:27:24.393261Z",
-     "start_time": "2023-06-14T00:27:24.384037Z"
+     "end_time": "2023-06-16T17:31:33.716Z",
+     "start_time": "2023-06-16T17:31:33.704851Z"
     }
    }
   },
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 417,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 4,
+     "execution_count": 417,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,14 +112,1115 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:27:24.947856Z",
-     "start_time": "2023-06-14T00:27:24.702149Z"
+     "end_time": "2023-06-16T17:31:34.839691Z",
+     "start_time": "2023-06-16T17:31:34.552814Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 418,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'@ID': 'ECOLI:EG12132-MONOMER',\n",
+      " '@detail': 'full',\n",
+      " '@frameid': 'EG12132-MONOMER',\n",
+      " '@orgid': 'ECOLI',\n",
+      " 'common-name': {'#text': 'iron-sulfur cluster insertion protein IscA',\n",
+      "                 '@datatype': 'string'},\n",
+      " 'component-of': {'Protein': {'@frameid': 'CPLX0-7908',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:CPLX0-7908'}},\n",
+      " 'dblink': [{'dblink-URL': 'https://alphafold.ebi.ac.uk/entry/P0AAC8',\n",
+      "             'dblink-db': 'ALPHAFOLD',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR035903',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR035903',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'https://www.ebi.ac.uk/interpro/entry/pfam/PF01521',\n",
+      "             'dblink-db': 'PFAM',\n",
+      "             'dblink-oid': 'PF01521',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'https://swissmodel.expasy.org/repository/uniprot/P0AAC8',\n",
+      "             'dblink-db': 'SMR',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://dip.doe-mbi.ucla.edu/dip/Browse.cgi?ID=DIP-35854N',\n",
+      "             'dblink-db': 'DIP',\n",
+      "             'dblink-oid': 'DIP-35854N',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR011302',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR011302',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR017870',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR017870',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR016092',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR016092',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR000361',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR000361',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://prosite.expasy.org/cgi-bin/prosite/nicedoc.pl?PS01152',\n",
+      "             'dblink-db': 'PROSITE',\n",
+      "             'dblink-oid': 'PS01152',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/pride/searchSummary.do?queryTypeSelected=identification%20accession%20number&identificationAccessionNumber=P0AAC8',\n",
+      "             'dblink-db': 'PRIDE',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R94',\n",
+      "             'dblink-db': 'PDB',\n",
+      "             'dblink-oid': '1R94',\n",
+      "             'dblink-relationship': 'Structure'},\n",
+      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R95',\n",
+      "             'dblink-db': 'PDB',\n",
+      "             'dblink-oid': '1R95',\n",
+      "             'dblink-relationship': 'Structure'},\n",
+      "            {'dblink-URL': 'http://www.rcsb.org/structure/1S98',\n",
+      "             'dblink-db': 'PDB',\n",
+      "             'dblink-oid': '1S98',\n",
+      "             'dblink-relationship': 'Structure'},\n",
+      "            {'dblink-URL': 'http://pir.georgetown.edu/cgi-bin/pro/entry_pro?id=PRO_000023031',\n",
+      "             'dblink-db': 'PRODB',\n",
+      "             'dblink-oid': 'PRO_000023031',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://ecoliwiki.org/colipedia/index.php/b2528',\n",
+      "             'dblink-db': 'ECOLIWIKI',\n",
+      "             'dblink-oid': 'b2528',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://modbase.compbio.ucsf.edu/modbase-cgi/model_search.cgi?searchkw=name&kword=P0AAC8',\n",
+      "             'dblink-db': 'MODBASE',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'https://www.uniprot.org/uniprot/P0AAC8',\n",
+      "             'dblink-db': 'UNIPROT',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?val=NP_417023',\n",
+      "             'dblink-db': 'REFSEQ',\n",
+      "             'dblink-oid': 'NP_417023',\n",
+      "             'dblink-relationship': 'unification'}],\n",
+      " 'gene': {'Gene': {'@frameid': 'EG12132',\n",
+      "                   '@orgid': 'ECOLI',\n",
+      "                   '@resource': 'getxml?ECOLI:EG12132'}},\n",
+      " 'has-feature': [{'Feature': {'@ID': 'ECOLI:FTR0-1606180',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1606180',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'accession-1': {'#text': 'PF01521.23',\n",
+      "                                              '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
+      "                                                             '@class': 'true',\n",
+      "                                                             '@detail': 'full',\n",
+      "                                                             '@frameid': 'EV-COMP-AINF',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'computationally '\n",
+      "                                                                                      'without '\n",
+      "                                                                                      'human '\n",
+      "                                                                                      'oversight',\n",
+      "                                                                             '@datatype': 'string'},\n",
+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
+      "                                                           '@detail': 'full',\n",
+      "                                                           '@frameid': 'PUB-26673716',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           'author': [...],\n",
+      "                                                           'pubmed-id': {...},\n",
+      "                                                           'source': {...},\n",
+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '1',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Pfam-Features',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
+      "                              'right-end-position': {'#text': '103',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586499',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1586499',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'S',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
+      "                                                   'binding activity..',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP',\n",
+      "                                                             '@class': 'true',\n",
+      "                                                             '@detail': 'full',\n",
+      "                                                             '@frameid': 'EV-EXP',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'from '\n",
+      "                                                                                      'experiment',\n",
+      "                                                                             '@datatype': 'string'}},\n",
+      "                                           'Publication': {'@ID': 'ECOLI:PUB-15247288',\n",
+      "                                                           '@detail': 'full',\n",
+      "                                                           '@frameid': 'PUB-15247288',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           'author': [...],\n",
+      "                                                           'pubmed-id': {...},\n",
+      "                                                           'source': {...},\n",
+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '101',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
+      "                              'right-end-position': {'#text': '101',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586498',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1586498',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'S',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
+      "                                                   'binding activity..',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-EXP',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '99',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
+      "                              'right-end-position': {'#text': '99',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586497',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1586497',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'S',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: Decrease of iron '\n",
+      "                                                   'binding activity..',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-EXP',\n",
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+      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '35',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
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+      "                              'comment': {'#text': 'UniProt: Iron.',\n",
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+      "                                                             'common-name': {'#text': 'Inferred '\n",
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+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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+      "                              'residue-number': {'#text': '101',\n",
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+      "                              'comment': {'#text': 'UniProt: Iron.',\n",
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+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
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+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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+      "                              'residue-number': {'#text': '99',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron.',\n",
+      "                                          '@datatype': 'string'},\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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+      "                              'residue-number': {'#text': '35',\n",
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+      " 'has-go-term': [{'GO-Term': {'@class': 'true',\n",
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+      "                                                                      'interactions\\n'\n",
+      "                                                                      '    '\n",
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+      "                                                                      '<li> '\n",
+      "                                                                      'Co-immunoprecipitation\\n'\n",
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+      "                                                                      '<li> '\n",
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+      "                                                                      '</ul><p '\n",
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+      "                                                                      'between '\n",
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+      "                                                                      'gene '\n",
+      "                                                                      'product '\n",
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+      "                                                                      'molecule '\n",
+      "                                                                      '(or '\n",
+      "                                                                      'ion, or '\n",
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+      "                                                                      'functions '\n",
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+      "                                                                      'as '\n",
+      "                                                                      'protein '\n",
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+      "                                                                      'acid '\n",
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+      "                                                                      'assay '\n",
+      "                                                                      'is\\n'\n",
+      "                                                                      'simultaneously '\n",
+      "                                                                      'IPI and '\n",
+      "                                                                      'IDA; '\n",
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+      "                                                                      'preferred '\n",
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+      "                                                                      'the '\n",
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+      "                                                                      'directly '\n",
+      "                                                                      'detects '\n",
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+      "                                                                      'binding. '\n",
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+      "                                                                      'IGI, it '\n",
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+      "                                                                      'be '\n",
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+      "                                                                      'the '\n",
+      "                                                                      'gene/protein/ion.',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                                 'common-name': {'#text': 'Inferred '\n",
+      "                                                                          'from '\n",
+      "                                                                          'physical '\n",
+      "                                                                          'interaction',\n",
+      "                                                                 '@datatype': 'string'},\n",
+      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                              '@frameid': 'EV-EXP',\n",
+      "                                                                              '@orgid': 'ECOLI',\n",
+      "                                                                              '@resource': '#ECOLI:EV-EXP'}}},\n",
+      "                               'Publication': {'@ID': 'ECOLI:PUB-15050828',\n",
+      "                                               '@detail': 'full',\n",
+      "                                               '@frameid': 'PUB-15050828',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': [{...},\n",
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+      "                                                          {...},\n",
+      "                                                          {...}],\n",
+      "                                               'pubmed-id': {'#text': '15050828',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                               'source': {'#text': 'J Mol Biol '\n",
+      "                                                                   '338(1);127-37',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Crystal '\n",
+      "                                                                  'structure '\n",
+      "                                                                  'of IscA, an '\n",
+      "                                                                  'iron-sulfur '\n",
+      "                                                                  'cluster '\n",
+      "                                                                  'assembly '\n",
+      "                                                                  'protein '\n",
+      "                                                                  'from '\n",
+      "                                                                  'Escherichia '\n",
+      "                                                                  'coli.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2004',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0005737',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0005737'},\n",
+      "                  'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-IBA',\n",
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+      "                                                 'comment': {'#text': 'A type '\n",
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+      "                                                                      'through '\n",
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+      "                                                                      'aspect '\n",
+      "                                                                      'of a '\n",
+      "                                                                      'ancestral '\n",
+      "                                                                      'gene.',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                                 'common-name': {'#text': 'Inferred '\n",
+      "                                                                          'from '\n",
+      "                                                                          'Biological '\n",
+      "                                                                          'aspect '\n",
+      "                                                                          'from '\n",
+      "                                                                          'Ancestor',\n",
+      "                                                                 '@datatype': 'string'},\n",
+      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                              '@frameid': 'EV-COMP',\n",
+      "                                                                              '@orgid': 'ECOLI',\n",
+      "                                                                              '@resource': 'getxml?ECOLI:EV-COMP'}}},\n",
+      "                               'Publication': {'@ID': 'ECOLI:PUB-21873635',\n",
+      "                                               '@detail': 'full',\n",
+      "                                               '@frameid': 'PUB-21873635',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': [{...},\n",
+      "                                                          {...},\n",
+      "                                                          {...},\n",
+      "                                                          {...}],\n",
+      "                                               'pubmed-id': {'#text': '21873635',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                               'source': {'#text': 'Brief '\n",
+      "                                                                   'Bioinform '\n",
+      "                                                                   '12(5);449-62',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Phylogenetic-based '\n",
+      "                                                                  'propagation '\n",
+      "                                                                  'of '\n",
+      "                                                                  'functional '\n",
+      "                                                                  'annotations '\n",
+      "                                                                  'within the '\n",
+      "                                                                  'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'consortium.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2011',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'#text': 'PANTHER\\\\:PTN001601055|PomBase\\\\:SPCC645.03c|SGD\\\\:S000003950|UniProtKB\\\\:O97297|UniProtKB\\\\:P0AAC8|UniProtKB\\\\:Q57X28',\n",
+      "                                        '@datatype': 'string'}}},\n",
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+      "                              '@resource': 'getxml?ECOLI:GO:0097428'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-IBA'},\n",
+      "                               'Publication': {'@frameid': 'PUB-21873635',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-21873635'},\n",
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+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0051536'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000002',\n",
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+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': [{...},\n",
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+      "                                                          {...},\n",
+      "                                                          {...},\n",
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+      "                                               'title': {'#text': 'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotation '\n",
+      "                                                                  'through '\n",
+      "                                                                  'association '\n",
+      "                                                                  'of InterPro '\n",
+      "                                                                  'records '\n",
+      "                                                                  'with GO '\n",
+      "                                                                  'terms.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
+      "                                                       '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2001',\n",
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+      "                                        '@datatype': 'string'}}},\n",
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+      "                              '@frameid': 'GO:0046872',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0046872'},\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                                  'UniProtKB/Swiss-Prot '\n",
+      "                                                                  'keyword '\n",
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+      "                                                                  'accompanied '\n",
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+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
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+      "                                                                   'curators',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Electronic '\n",
+      "                                                                  'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotations '\n",
+      "                                                                  'created by '\n",
+      "                                                                  'transferring '\n",
+      "                                                                  'manual GO '\n",
+      "                                                                  'annotations '\n",
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+      "                                                                  'related '\n",
+      "                                                                  'proteins '\n",
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+      "                                                                  'shared '\n",
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+      "                                               'year': {'#text': '2015',\n",
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+      "                                                                           '12;711077',\n",
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+      "                                               'ongoing updates to the U00096 '\n",
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+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'sgama',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'comment': {...},\n",
+      "                                                      'common-name': {...}}},\n",
+      "                                          {'Person': {'@ID': 'ECOLI:santos-zavaleta',\n",
+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'santos-zavaleta',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'common-name': {...}}},\n",
+      "                                          {'Person': {'@ID': 'ECOLI:tierrafria',\n",
+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'tierrafria',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'email': {...},\n",
+      "                                                      'middle-name': {...}}},\n",
+      "                                          {'Person': {'@ID': 'ECOLI:figueroa',\n",
+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'figueroa',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'email': {...},\n",
+      "                                                      'middle-name': {...}}}],\n",
+      "                          'pgdb-copyright': {'#text': 'Copyright SRI '\n",
+      "                                                      'International '\n",
+      "                                                      '1999-2023, Marine '\n",
+      "                                                      'Biological Laboratory '\n",
+      "                                                      '1998-2001, DoubleTwist '\n",
+      "                                                      'Inc 1998-1999.  All '\n",
+      "                                                      'Rights Reserved.',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                          'pgdb-footer-citation': {'#text': '<a '\n",
+      "                                                            'href=\"https://www.frontiersin.org/articles/10.3389/fmicb.2021.711077/full\">Frontiers '\n",
+      "                                                            'in Microbiology '\n",
+      "                                                            '2021</a>',\n",
+      "                                                   '@datatype': 'string'},\n",
+      "                          'pgdb-name': {'#text': 'EcoCyc',\n",
+      "                                        '@datatype': 'string'},\n",
+      "                          'pgdb-tier': {'#text': '1', '@datatype': 'integer'},\n",
+      "                          'rank': 'strain',\n",
+      "                          'strain-name': {'#text': 'K-12 substr. MG1655',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                          'synonym': {'#text': 'Escherichia coli K-12 substr. '\n",
+      "                                               'MG1655',\n",
+      "                                      '@datatype': 'string'}}},\n",
+      " 'synonym': [{'#text': 'IscA', '@datatype': 'string'},\n",
+      "             {'#text': 'YfhF', '@datatype': 'string'},\n",
+      "             {'#text': 'iron-sulfur cluster assembly protein',\n",
+      "              '@datatype': 'string'}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "complex = 'EG12132-MONOMER'\n",
+    "\n",
+    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=high'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "pp.pprint(o)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T17:31:39.064158Z",
+     "start_time": "2023-06-16T17:31:38.577204Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 421,
    "outputs": [
     {
      "name": "stdout",
@@ -130,6 +1231,17 @@
       "RECFOR-CPLX 404\n",
       "CPLX0-7796APO 404\n"
      ]
+    },
+    {
+     "ename": "KeyError",
+     "evalue": "'parent'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/1098421248.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     42\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     43\u001B[0m                 \u001B[0;32mfor\u001B[0m \u001B[0mfeature\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeatures\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 44\u001B[0;31m                     \u001B[0mcategory\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'parent'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'@frameid'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     45\u001B[0m                     \u001B[0;32mif\u001B[0m \u001B[0mcategory\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m'Metal-Binding-Sites'\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'comment'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'Uniprot'\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     46\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mKeyError\u001B[0m: 'parent'"
+     ]
     }
    ],
    "source": [
@@ -146,58 +1258,176 @@
     "\n",
     "    o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
     "\n",
-    "    if 'catalyzes' not in o:\n",
+    "    if 'component-of' in o and 'catalyzes' not in o:\n",
     "        continue\n",
-    "    else:\n",
+    "\n",
+    "    # check if components have enzymatic-reaction:\n",
+    "    components = o['component']\n",
+    "    if type(components) is dict:\n",
+    "        components = [components]\n",
+    "\n",
+    "    for component in components:\n",
+    "\n",
+    "        if \"Protein\" in component:\n",
+    "            component_id = component['Protein']['@frameid']\n",
+    "\n",
+    "            req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{component_id}&detail=high'\n",
+    "            rc = s.get(req_str)\n",
+    "            oc = xmltodict.parse(rc.content)['ptools-xml']['Protein']\n",
+    "\n",
+    "            feature_set = set()\n",
+    "            if 'has-feature' in oc:\n",
+    "                features = oc['has-feature']\n",
+    "\n",
+    "                if type(features) is dict:\n",
+    "                    features = [features]\n",
+    "\n",
+    "                for feature in features:\n",
+    "                    if 'parent' not in feature['Feature']:\n",
+    "                        continue\n",
+    "\n",
+    "                    category = feature['Feature']['parent']['Feature']['@frameid']\n",
+    "                    if category == 'Metal-Binding-Sites' and 'comment' in feature['Feature']:\n",
+    "\n",
+    "                        # Detect match to any of the allowed metal names and allowed cofactor names and add to list\n",
+    "                        comment = feature['Feature']['comment']['#text']\n",
+    "                        feature_set.add(comment)\n",
+    "\n",
+    "                        pre_complex_df.at[i, 'metal_binding'] = list(feature_set)\n",
+    "\n",
+    "\n",
+    "    # if enzyme\n",
+    "    if 'catalyzes' in o:\n",
     "        o = o['catalyzes']['Enzymatic-Reaction']\n",
     "\n",
-    "    if type(o) is dict:\n",
-    "        o = [o]\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
     "\n",
-    "    for enzrxn in o:\n",
-    "        enz_id = enzrxn['@frameid']\n",
+    "        for enzrxn in o:\n",
+    "            enz_id = enzrxn['@frameid']\n",
     "\n",
-    "        enz_req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{enz_id}&detail=high'\n",
+    "            enz_req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{enz_id}&detail=high'\n",
     "\n",
-    "        re = s.get(enz_req_str)\n",
-    "        oe = xmltodict.parse(re.content)['ptools-xml']['Enzymatic-Reaction']\n",
+    "            rz = s.get(enz_req_str)\n",
+    "            oe = xmltodict.parse(rz.content)['ptools-xml']['Enzymatic-Reaction']\n",
     "\n",
-    "        pre_complex_df.at[i, 'enzyme-reaction'] = enz_id\n",
+    "            pre_complex_df.at[i, 'enzyme-reaction'] = enz_id\n",
     "\n",
-    "        if \"cofactor\" in oe:\n",
-    "            # print(enz_id)\n",
-    "            oe = oe['cofactor']\n",
+    "            if \"cofactor\" in oe:\n",
+    "                oe = oe['cofactor']\n",
     "\n",
-    "            if type(oe) is dict:\n",
-    "                oe = [oe]\n",
+    "                if type(oe) is dict:\n",
+    "                    oe = [oe]\n",
     "\n",
-    "            cofactor_list = []\n",
-    "            for cofactor in oe:\n",
-    "                cof = cofactor['Compound']['@frameid']\n",
-    "                cofactor_list.append(cof)\n",
-    "                # print('\\t' + cof)\n",
+    "                cofactor_list = []\n",
+    "                for cofactor in oe:\n",
+    "                    cof = cofactor['Compound']['@frameid']\n",
+    "                    cofactor_list.append(cof)\n",
     "\n",
-    "            pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
+    "                pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
     "\n"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:30:16.728966Z",
-     "start_time": "2023-06-14T00:27:24.951037Z"
+     "end_time": "2023-06-16T18:09:24.922769Z",
+     "start_time": "2023-06-16T17:58:07.698078Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 434,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'UniProt: Calcium 1.',\n 'UniProt: Calcium 1; via carbonyl oxygen.',\n 'UniProt: Calcium 1; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 1; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium 2.',\n 'UniProt: Calcium 2; in dimeric form.',\n 'UniProt: Calcium 2; via carbonyl oxygen.',\n 'UniProt: Calcium 2; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 3; in monomeric form.',\n 'UniProt: Calcium 3; shared with dimeric partner.',\n 'UniProt: Calcium 3; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium.',\n 'UniProt: Calcium; via carbonyl oxygen.',\n 'UniProt: Cobalt (adenosylcob(III)alamin axial ligand).',\n 'UniProt: Cobalt.',\n 'UniProt: Cobalt; via tele nitrogen.',\n 'UniProt: Copper.',\n 'UniProt: Copper; via pros nitrogen.',\n 'UniProt: Copper; via tele nitrogen.',\n 'UniProt: Divalent metal cation 1.',\n 'UniProt: Divalent metal cation 1; via carbamate group.',\n 'UniProt: Divalent metal cation 1; via carbonyl oxygen.',\n 'UniProt: Divalent metal cation 2.',\n 'UniProt: Divalent metal cation 2; via carbamate group.',\n 'UniProt: Divalent metal cation 3.',\n 'UniProt: Divalent metal cation.',\n 'UniProt: Divalent metal cation; shared with dimeric partner.',\n 'UniProt: Divalent metal cation; via pros nitrogen.',\n 'UniProt: Divalent metal cation; via tele nitrogen.',\n 'UniProt: Fe(2+); catalytic.',\n 'UniProt: Iron (heme 1 axial ligand).',\n 'UniProt: Iron (heme 2 axial ligand).',\n 'UniProt: Iron (heme 3 axial ligand).',\n 'UniProt: Iron (heme 4 axial ligand).',\n 'UniProt: Iron (heme 5 axial ligand).',\n 'UniProt: Iron (heme B 1 axial ligand).',\n 'UniProt: Iron (heme B 2 axial ligand).',\n 'UniProt: Iron (heme axial ligand).',\n 'UniProt: Iron (heme b axial ligand).',\n 'UniProt: Iron (heme b axial ligand); shared with dimeric partner.',\n 'UniProt: Iron (heme b proximal ligand); via tele nitrogen.',\n 'UniProt: Iron (heme distal ligand).',\n 'UniProt: Iron (heme proximal ligand).',\n 'UniProt: Iron (siroheme axial ligand).',\n 'UniProt: Iron 1.',\n 'UniProt: Iron 1; shared with dodecameric partner.',\n 'UniProt: Iron 2.',\n 'UniProt: Iron 3.',\n 'UniProt: Iron-sulfur (2Fe-2S).',\n 'UniProt: Iron-sulfur (2Fe-2S); shared with dimeric partner.',\n 'UniProt: Iron-sulfur (2Fe-2S); via persulfide group; shared with IscU.',\n 'UniProt: Iron-sulfur (2Fe-2S); via pros nitrogen.',\n 'UniProt: Iron-sulfur (4Fe-4S) 1.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2; 4Fe-4S-S-AdoMet.',\n 'UniProt: Iron-sulfur (4Fe-4S) 3.',\n 'UniProt: Iron-sulfur (4Fe-4S) 4.',\n 'UniProt: Iron-sulfur (4Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S-S-AdoMet).',\n 'UniProt: Iron-sulfur.',\n 'UniProt: Iron.',\n 'UniProt: Iron; catalytic.',\n 'UniProt: Iron; via tele nitrogen.',\n 'UniProt: Iron; via tele nitrogen; catalytic.',\n 'UniProt: Magnesium 1.',\n 'UniProt: Magnesium 1; catalytic.',\n 'UniProt: Magnesium 1; via carbonyl oxygen.',\n 'UniProt: Magnesium 1; via pros nitrogen.',\n 'UniProt: Magnesium 2.',\n 'UniProt: Magnesium 2; catalytic.',\n 'UniProt: Magnesium 3.',\n 'UniProt: Magnesium or cobalt.',\n 'UniProt: Magnesium or manganese.',\n 'UniProt: Magnesium.',\n 'UniProt: Magnesium; catalytic.',\n 'UniProt: Magnesium; via carbamate group.',\n 'UniProt: Magnesium; via carbonyl oxygen.',\n 'UniProt: Magnesium; via tele nitrogen.',\n 'UniProt: Manganese 1.',\n 'UniProt: Manganese 1; via pros nitrogen.',\n 'UniProt: Manganese 1; via tele nitrogen.',\n 'UniProt: Manganese 2.',\n 'UniProt: Manganese 2; via tele nitrogen.',\n 'UniProt: Manganese.',\n 'UniProt: Manganese; via pros nitrogen.',\n 'UniProt: Molybdate.',\n 'UniProt: Molybdate; via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-bis(molybdopterin guanine dinucleotide) metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand).',\n 'UniProt: Molybdenum.',\n 'UniProt: Nickel 1.',\n 'UniProt: Nickel 2.',\n 'UniProt: Nickel.',\n 'UniProt: Nickel; shared with dimeric partner.',\n 'UniProt: Nickel; via tele nitrogen.',\n 'UniProt: Nickel; via tele nitrogen; shared with dimeric partner.',\n 'UniProt: Potassium 1.',\n 'UniProt: Potassium 1; via carbonyl oxygen.',\n 'UniProt: Potassium 2; via carbonyl oxygen.',\n 'UniProt: Potassium.',\n 'UniProt: Potassium; via carbonyl oxygen.',\n 'UniProt: Potassium; via carbonyl oxygen; shared with tetrameric partner.',\n 'UniProt: Sodium.',\n 'UniProt: Sodium; via carbonyl oxygen.',\n 'UniProt: Zinc 1.',\n 'UniProt: Zinc 1; catalytic.',\n 'UniProt: Zinc 1; via carbamate group.',\n 'UniProt: Zinc 1; via carbamate group; catalytic.',\n 'UniProt: Zinc 1; via tele nitrogen.',\n 'UniProt: Zinc 1; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 2.',\n 'UniProt: Zinc 2; catalytic.',\n 'UniProt: Zinc 2; via carbamate group.',\n 'UniProt: Zinc 2; via carbamate group; catalytic.',\n 'UniProt: Zinc 2; via pros nitrogen.',\n 'UniProt: Zinc 2; via pros nitrogen; catalytic.',\n 'UniProt: Zinc 2; via tele nitrogen.',\n 'UniProt: Zinc 2; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 3.',\n 'UniProt: Zinc.',\n 'UniProt: Zinc; catalytic.',\n 'UniProt: Zinc; shared with EIIA-Glc.',\n 'UniProt: Zinc; shared with dimeric partner.',\n 'UniProt: Zinc; shared with glycerol kinase.',\n 'UniProt: Zinc; via pros nitrogen.',\n 'UniProt: Zinc; via pros nitrogen; catalytic.',\n 'UniProt: Zinc; via tele nitrogen.',\n 'UniProt: Zn(2+); catalytic.'}"
+     },
+     "execution_count": 434,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_features = set()\n",
+    "\n",
+    "for i in range(len(pre_complex_df.index)):\n",
+    "\n",
+    "        if pre_complex_df.loc[i, 'metal_binding'] is not None:\n",
+    "            # only include set elements that have Uniprot in string\n",
+    "            metal_binding = pre_complex_df.loc[i, 'metal_binding']\n",
+    "            for feature in metal_binding:\n",
+    "                if 'UniProt' in feature:\n",
+    "                    total_features.add(feature)\n",
+    "            metal_binding = [x for x in metal_binding if 'UniProt' in x]\n",
+    "\n",
+    "            pre_complex_df.at[i, 'metal_binding'] = metal_binding\n",
+    "\n",
+    "            total_features.update(metal_binding)\n",
+    "\n",
+    "total_features"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T18:20:14.916003Z",
+     "start_time": "2023-06-16T18:20:14.911043Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 475,
+   "outputs": [],
+   "source": [
+    "ALLOWED_METAL_NAMES = {'Iron': 'FE', 'Cobalt': 'CO', 'Copper': 'CU', 'Manganese': 'MN', 'Molybdenum': 'MO', 'Nickel': 'NI', 'Tungsten': 'W', 'Zinc': 'ZN',\n",
+    "                       'Calcium': 'CA', 'Magnesium': 'MG', 'Sodium': 'NA', 'Potassium': 'K',\n",
+    "                       'Iron-sulfur \\(4Fe-4S\\)': 'CPD-7', 'Iron-sulfur \\(2Fe-2S\\)': 'CPD-6', 'heme': 'heme', 'Molybdate': 'CPD-3'}\n",
+    "\n",
+    "pre_complex_df['metal_binding_processed'] = 0\n",
+    "pre_complex_df['metal_binding_processed'] = pre_complex_df['metal_binding_processed'].astype(object)\n",
+    "\n",
+    "metal_pattern = '|'.join(ALLOWED_METAL_NAMES.keys())\n",
+    "metal_regex = re.compile(f'(({metal_pattern})(\\s\\d[\\.,;]|[\\.,;]|\\s\\())')\n",
+    "\n",
+    "\n",
+    "for i in range(len(pre_complex_df.index)):\n",
+    "\n",
+    "    if pre_complex_df.loc[i, 'metal_binding'] is not None:\n",
+    "        metal_binding = pre_complex_df.loc[i, 'metal_binding']\n",
+    "\n",
+    "        metal_binding_processed = set()\n",
+    "\n",
+    "        for feature in metal_binding:\n",
+    "            matches = metal_regex.search(feature)\n",
+    "            if matches:\n",
+    "                metal = matches.group(0)[:-1]\n",
+    "\n",
+    "                if 'heme' in feature:\n",
+    "                    metal = metal.replace('Iron', 'heme')\n",
+    "\n",
+    "                metal_binding_processed.add(metal)\n",
+    "\n",
+    "        pre_complex_df.at[i, 'metal_binding_processed'] = list(metal_binding_processed)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T18:52:20.806776Z",
+     "start_time": "2023-06-16T18:52:20.803858Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 476,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \n0                                               [MG+2]  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]  \n2                                         [MG+2, MN+2]  \n3                                              [CPD-7]  \n4                                               [MG+2]  \n...                                                ...  \n1096                                              None  \n1097                                              None  \n1098                                              None  \n1099                                              None  \n1100                                              None  \n\n[1101 rows x 5 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                [Magnesium]  \n3                         []  \n4                [Magnesium]  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 10,
+     "execution_count": 476,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -208,8 +1438,82 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:33:26.092235Z",
-     "start_time": "2023-06-14T00:33:26.089956Z"
+     "end_time": "2023-06-16T18:52:22.017981Z",
+     "start_time": "2023-06-16T18:52:22.013052Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 477,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Potassium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Molybdate not in ALLOWED_METAL_NAMES\n",
+      "WARNING: heme  not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Iron not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Manganese 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Manganese 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "'int' object is not iterable",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3458107399.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      6\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      7\u001B[0m     \u001B[0mmetal_count_dict\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 8\u001B[0;31m     \u001B[0;32mfor\u001B[0m \u001B[0mmetal\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mmetal_binding_processed\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      9\u001B[0m         \u001B[0;31m# find match in ALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     10\u001B[0m         \u001B[0;32mfor\u001B[0m \u001B[0mname\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
+     ]
+    }
+   ],
+   "source": [
+    "#\n",
+    "for i in range(len(pre_complex_df.index)):\n",
+    "\n",
+    "    # for each value of metal_binding_processed, create dict with counts of each metal\n",
+    "    metal_binding_processed = pre_complex_df.loc[i, 'metal_binding_processed']\n",
+    "\n",
+    "    metal_count_dict = {}\n",
+    "    for metal in metal_binding_processed:\n",
+    "        # find match in ALLOWED_METAL_NAMES\n",
+    "        for name in ALLOWED_METAL_NAMES:\n",
+    "            if name in metal:\n",
+    "                metal_name = ALLOWED_METAL_NAMES[name]\n",
+    "\n",
+    "                if metal_name in metal_count_dict:\n",
+    "                    metal_count_dict[metal_name] += 1\n",
+    "                else:\n",
+    "                    metal_count_dict[metal_name] = 1\n",
+    "\n",
+    "            else:\n",
+    "                print(f\"WARNING: {metal} not in ALLOWED_METAL_NAMES\")\n",
+    "                break"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T19:00:54.435019Z",
+     "start_time": "2023-06-16T19:00:54.425272Z"
     }
    }
   },

From 08d9f5af0490f3f4bab0529df2a63472dc82478c Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 19 Jun 2023 14:29:54 -0700
Subject: [PATCH 06/58] Finished adding protein feature metal binding. Need to
 merge and include in counts calculations

---
 notebooks/fbagd/metal_binding.ipynb | 174 ++++++++++++++++------------
 1 file changed, 98 insertions(+), 76 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 7744f23dc..56c3a6f4d 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -1377,7 +1377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 475,
+   "execution_count": 501,
    "outputs": [],
    "source": [
     "ALLOWED_METAL_NAMES = {'Iron': 'FE', 'Cobalt': 'CO', 'Copper': 'CU', 'Manganese': 'MN', 'Molybdenum': 'MO', 'Nickel': 'NI', 'Tungsten': 'W', 'Zinc': 'ZN',\n",
@@ -1396,38 +1396,54 @@
     "    if pre_complex_df.loc[i, 'metal_binding'] is not None:\n",
     "        metal_binding = pre_complex_df.loc[i, 'metal_binding']\n",
     "\n",
-    "        metal_binding_processed = set()\n",
+    "        metal_count_dict = {}\n",
+    "        existing_matches = set()\n",
     "\n",
     "        for feature in metal_binding:\n",
     "            matches = metal_regex.search(feature)\n",
     "            if matches:\n",
     "                metal = matches.group(0)[:-1]\n",
     "\n",
-    "                if 'heme' in feature:\n",
-    "                    metal = metal.replace('Iron', 'heme')\n",
+    "                # eliminate duplicates\n",
+    "                if metal not in existing_matches:\n",
     "\n",
-    "                metal_binding_processed.add(metal)\n",
+    "                    existing_matches.add(metal)\n",
     "\n",
-    "        pre_complex_df.at[i, 'metal_binding_processed'] = list(metal_binding_processed)"
+    "                    if 'heme' in feature:\n",
+    "                        metal = metal.replace('Iron', 'heme')\n",
+    "\n",
+    "                    # check if last char of metal is a number, then crop\n",
+    "                    if metal[-1].isdigit():\n",
+    "                        metal = metal[:-2]\n",
+    "\n",
+    "                    if metal in metal_count_dict:\n",
+    "                        metal_count_dict[metal] += 1\n",
+    "                    else:\n",
+    "                        metal_count_dict[metal] = 1\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "        pre_complex_df.at[i, 'metal_binding_processed'] = metal_count_dict"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:52:20.806776Z",
-     "start_time": "2023-06-16T18:52:20.803858Z"
+     "end_time": "2023-06-19T19:01:28.742373Z",
+     "start_time": "2023-06-19T19:01:28.730817Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 476,
+   "execution_count": 502,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                [Magnesium]  \n3                         []  \n4                [Magnesium]  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 476,
+     "execution_count": 502,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1438,97 +1454,103 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:52:22.017981Z",
-     "start_time": "2023-06-16T18:52:22.013052Z"
+     "end_time": "2023-06-19T19:01:29.289889Z",
+     "start_time": "2023-06-19T19:01:29.245680Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 477,
+   "execution_count": 503,
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Potassium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Molybdate not in ALLOWED_METAL_NAMES\n",
-      "WARNING: heme  not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Iron not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Manganese 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Manganese 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n"
-     ]
-    },
-    {
-     "ename": "TypeError",
-     "evalue": "'int' object is not iterable",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3458107399.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      6\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      7\u001B[0m     \u001B[0mmetal_count_dict\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 8\u001B[0;31m     \u001B[0;32mfor\u001B[0m \u001B[0mmetal\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mmetal_binding_processed\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      9\u001B[0m         \u001B[0;31m# find match in ALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     10\u001B[0m         \u001B[0;32mfor\u001B[0m \u001B[0mname\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
-     ]
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+     },
+     "execution_count": 503,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "#\n",
+    "# for row of pre_complex_df, if metal_binding_processed is 0, set as empty dict\n",
     "for i in range(len(pre_complex_df.index)):\n",
+    "    if pre_complex_df.loc[i, 'metal_binding_processed'] == 0:\n",
+    "        pre_complex_df.at[i, 'metal_binding_processed'] = {}\n",
     "\n",
-    "    # for each value of metal_binding_processed, create dict with counts of each metal\n",
-    "    metal_binding_processed = pre_complex_df.loc[i, 'metal_binding_processed']\n",
-    "\n",
-    "    metal_count_dict = {}\n",
-    "    for metal in metal_binding_processed:\n",
-    "        # find match in ALLOWED_METAL_NAMES\n",
-    "        for name in ALLOWED_METAL_NAMES:\n",
-    "            if name in metal:\n",
-    "                metal_name = ALLOWED_METAL_NAMES[name]\n",
-    "\n",
-    "                if metal_name in metal_count_dict:\n",
-    "                    metal_count_dict[metal_name] += 1\n",
-    "                else:\n",
-    "                    metal_count_dict[metal_name] = 1\n",
-    "\n",
-    "            else:\n",
-    "                print(f\"WARNING: {metal} not in ALLOWED_METAL_NAMES\")\n",
-    "                break"
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-19T21:27:20.960566Z",
+     "start_time": "2023-06-19T21:27:20.956351Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 487,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                  {'MG': 1}  \n3                         []  \n4                  {'MG': 1}  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+     },
+     "execution_count": 487,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-19T18:45:36.796825Z",
+     "start_time": "2023-06-19T18:45:36.785727Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 504,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1096                        CPLX0-8053   \n1097                        CPLX0-8253   \n1098                          SRP-CPLX   \n1099                     CPLX0-7796APO   \n1100                         ARCB-CPLX   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]        {'Magnesium': 1}  \n3                                              [CPD-7]                      {}  \n4                                               [MG+2]        {'Magnesium': 1}  \n...                                                ...                     ...  \n1096                                              None                      {}  \n1097                                              None                      {}  \n1098                                              None                      {}  \n1099                                              None                      {}  \n1100                                              None                      {}  \n\n[1101 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 504,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T19:00:54.435019Z",
-     "start_time": "2023-06-16T19:00:54.425272Z"
+     "end_time": "2023-06-19T21:28:53.016873Z",
+     "start_time": "2023-06-19T21:28:53.012474Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 505,
    "outputs": [],
    "source": [
-    "pre_complex_df.to_csv('cofactors.csv', index=False)"
+    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']].to_csv('cofactors_new.csv', index=False)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:30:16.753298Z",
-     "start_time": "2023-06-14T00:30:16.746991Z"
+     "end_time": "2023-06-19T21:29:22.637307Z",
+     "start_time": "2023-06-19T21:29:22.630535Z"
     }
    }
   },

From 9186e5a1636a4a3baf9fb22c61517f850f2a28c1 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 19 Jun 2023 14:39:48 -0700
Subject: [PATCH 07/58] Finished adding protein feature metal binding. Need to
 merge and include in counts calculations

---
 notebooks/fbagd/metal_binding.ipynb | 71 +++++------------------------
 1 file changed, 12 insertions(+), 59 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 56c3a6f4d..d10c25992 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -1461,14 +1461,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 503,
+   "execution_count": 506,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                                []   \n1097                                                []   \n1098                                                []   \n1099                                                []   \n1100                                                []   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 503,
+     "execution_count": 506,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1479,69 +1479,22 @@
     "    if pre_complex_df.loc[i, 'metal_binding_processed'] == 0:\n",
     "        pre_complex_df.at[i, 'metal_binding_processed'] = {}\n",
     "\n",
+    "    if pre_complex_df.loc[i, 'cofactors'] == None:\n",
+    "        pre_complex_df.at[i, 'cofactors'] = []\n",
+    "\n",
     "pre_complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:27:20.960566Z",
-     "start_time": "2023-06-19T21:27:20.956351Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 487,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                  {'MG': 1}  \n3                         []  \n4                  {'MG': 1}  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
-     },
-     "execution_count": 487,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pre_complex_df"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-19T18:45:36.796825Z",
-     "start_time": "2023-06-19T18:45:36.785727Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 504,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1096                        CPLX0-8053   \n1097                        CPLX0-8253   \n1098                          SRP-CPLX   \n1099                     CPLX0-7796APO   \n1100                         ARCB-CPLX   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]        {'Magnesium': 1}  \n3                                              [CPD-7]                      {}  \n4                                               [MG+2]        {'Magnesium': 1}  \n...                                                ...                     ...  \n1096                                              None                      {}  \n1097                                              None                      {}  \n1098                                              None                      {}  \n1099                                              None                      {}  \n1100                                              None                      {}  \n\n[1101 rows x 3 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 3 columns</p>\n</div>"
-     },
-     "execution_count": 504,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-19T21:28:53.016873Z",
-     "start_time": "2023-06-19T21:28:53.012474Z"
+     "end_time": "2023-06-19T21:31:03.340718Z",
+     "start_time": "2023-06-19T21:31:03.334662Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 505,
+   "execution_count": 507,
    "outputs": [],
    "source": [
     "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']].to_csv('cofactors_new.csv', index=False)"
@@ -1549,8 +1502,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:29:22.637307Z",
-     "start_time": "2023-06-19T21:29:22.630535Z"
+     "end_time": "2023-06-19T21:32:57.743647Z",
+     "start_time": "2023-06-19T21:32:57.736816Z"
     }
    }
   },

From 26ff545a702ae6b2706d5ec1126aaeb8ec30ca44 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Thu, 22 Jun 2023 16:26:43 -0700
Subject: [PATCH 08/58] Creating new notebook to retrieve UniProt annotations
 since they seem to have more accurate stoichiometry.

---
 notebooks/fbagd/metal_binding.ipynb         |  459 +++++--
 notebooks/fbagd/metal_binding_uniprot.ipynb | 1287 +++++++++++++++++++
 2 files changed, 1633 insertions(+), 113 deletions(-)
 create mode 100644 notebooks/fbagd/metal_binding_uniprot.ipynb

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index d10c25992..5fc907dfe 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 414,
+   "execution_count": 22,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:33.299324Z",
-     "start_time": "2023-06-16T17:31:33.261196Z"
+     "end_time": "2023-06-21T17:26:34.828405Z",
+     "start_time": "2023-06-21T17:26:34.820533Z"
     }
    },
    "outputs": [],
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 415,
+   "execution_count": 23,
    "outputs": [],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
@@ -50,21 +50,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:33.540791Z",
-     "start_time": "2023-06-16T17:31:33.506172Z"
+     "end_time": "2023-06-21T17:26:35.003794Z",
+     "start_time": "2023-06-21T17:26:34.947321Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 416,
+   "execution_count": 24,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal-binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal-binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal_binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 416,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -77,8 +77,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:33.716Z",
-     "start_time": "2023-06-16T17:31:33.704851Z"
+     "end_time": "2023-06-21T17:26:35.258113Z",
+     "start_time": "2023-06-21T17:26:35.234284Z"
     }
    }
   },
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 417,
+   "execution_count": 25,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 417,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,14 +112,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:34.839691Z",
-     "start_time": "2023-06-16T17:31:34.552814Z"
+     "end_time": "2023-06-21T17:26:35.823687Z",
+     "start_time": "2023-06-21T17:26:35.545396Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 418,
+   "execution_count": 26,
    "outputs": [
     {
      "name": "stdout",
@@ -1213,14 +1213,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:39.064158Z",
-     "start_time": "2023-06-16T17:31:38.577204Z"
+     "end_time": "2023-06-21T17:26:36.490323Z",
+     "start_time": "2023-06-21T17:26:36.159052Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 421,
+   "execution_count": 27,
    "outputs": [
     {
      "name": "stdout",
@@ -1231,17 +1231,6 @@
       "RECFOR-CPLX 404\n",
       "CPLX0-7796APO 404\n"
      ]
-    },
-    {
-     "ename": "KeyError",
-     "evalue": "'parent'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/1098421248.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     42\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     43\u001B[0m                 \u001B[0;32mfor\u001B[0m \u001B[0mfeature\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeatures\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 44\u001B[0;31m                     \u001B[0mcategory\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'parent'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'@frameid'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     45\u001B[0m                     \u001B[0;32mif\u001B[0m \u001B[0mcategory\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m'Metal-Binding-Sites'\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'comment'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'Uniprot'\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     46\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mKeyError\u001B[0m: 'parent'"
-     ]
     }
    ],
    "source": [
@@ -1330,20 +1319,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:09:24.922769Z",
-     "start_time": "2023-06-16T17:58:07.698078Z"
+     "end_time": "2023-06-21T17:35:47.859429Z",
+     "start_time": "2023-06-21T17:26:36.495196Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 434,
+   "execution_count": 28,
    "outputs": [
     {
      "data": {
-      "text/plain": "{'UniProt: Calcium 1.',\n 'UniProt: Calcium 1; via carbonyl oxygen.',\n 'UniProt: Calcium 1; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 1; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium 2.',\n 'UniProt: Calcium 2; in dimeric form.',\n 'UniProt: Calcium 2; via carbonyl oxygen.',\n 'UniProt: Calcium 2; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 3; in monomeric form.',\n 'UniProt: Calcium 3; shared with dimeric partner.',\n 'UniProt: Calcium 3; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium.',\n 'UniProt: Calcium; via carbonyl oxygen.',\n 'UniProt: Cobalt (adenosylcob(III)alamin axial ligand).',\n 'UniProt: Cobalt.',\n 'UniProt: Cobalt; via tele nitrogen.',\n 'UniProt: Copper.',\n 'UniProt: Copper; via pros nitrogen.',\n 'UniProt: Copper; via tele nitrogen.',\n 'UniProt: Divalent metal cation 1.',\n 'UniProt: Divalent metal cation 1; via carbamate group.',\n 'UniProt: Divalent metal cation 1; via carbonyl oxygen.',\n 'UniProt: Divalent metal cation 2.',\n 'UniProt: Divalent metal cation 2; via carbamate group.',\n 'UniProt: Divalent metal cation 3.',\n 'UniProt: Divalent metal cation.',\n 'UniProt: Divalent metal cation; shared with dimeric partner.',\n 'UniProt: Divalent metal cation; via pros nitrogen.',\n 'UniProt: Divalent metal cation; via tele nitrogen.',\n 'UniProt: Fe(2+); catalytic.',\n 'UniProt: Iron (heme 1 axial ligand).',\n 'UniProt: Iron (heme 2 axial ligand).',\n 'UniProt: Iron (heme 3 axial ligand).',\n 'UniProt: Iron (heme 4 axial ligand).',\n 'UniProt: Iron (heme 5 axial ligand).',\n 'UniProt: Iron (heme B 1 axial ligand).',\n 'UniProt: Iron (heme B 2 axial ligand).',\n 'UniProt: Iron (heme axial ligand).',\n 'UniProt: Iron (heme b axial ligand).',\n 'UniProt: Iron (heme b axial ligand); shared with dimeric partner.',\n 'UniProt: Iron (heme b proximal ligand); via tele nitrogen.',\n 'UniProt: Iron (heme distal ligand).',\n 'UniProt: Iron (heme proximal ligand).',\n 'UniProt: Iron (siroheme axial ligand).',\n 'UniProt: Iron 1.',\n 'UniProt: Iron 1; shared with dodecameric partner.',\n 'UniProt: Iron 2.',\n 'UniProt: Iron 3.',\n 'UniProt: Iron-sulfur (2Fe-2S).',\n 'UniProt: Iron-sulfur (2Fe-2S); shared with dimeric partner.',\n 'UniProt: Iron-sulfur (2Fe-2S); via persulfide group; shared with IscU.',\n 'UniProt: Iron-sulfur (2Fe-2S); via pros nitrogen.',\n 'UniProt: Iron-sulfur (4Fe-4S) 1.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2; 4Fe-4S-S-AdoMet.',\n 'UniProt: Iron-sulfur (4Fe-4S) 3.',\n 'UniProt: Iron-sulfur (4Fe-4S) 4.',\n 'UniProt: Iron-sulfur (4Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S-S-AdoMet).',\n 'UniProt: Iron-sulfur.',\n 'UniProt: Iron.',\n 'UniProt: Iron; catalytic.',\n 'UniProt: Iron; via tele nitrogen.',\n 'UniProt: Iron; via tele nitrogen; catalytic.',\n 'UniProt: Magnesium 1.',\n 'UniProt: Magnesium 1; catalytic.',\n 'UniProt: Magnesium 1; via carbonyl oxygen.',\n 'UniProt: Magnesium 1; via pros nitrogen.',\n 'UniProt: Magnesium 2.',\n 'UniProt: Magnesium 2; catalytic.',\n 'UniProt: Magnesium 3.',\n 'UniProt: Magnesium or cobalt.',\n 'UniProt: Magnesium or manganese.',\n 'UniProt: Magnesium.',\n 'UniProt: Magnesium; catalytic.',\n 'UniProt: Magnesium; via carbamate group.',\n 'UniProt: Magnesium; via carbonyl oxygen.',\n 'UniProt: Magnesium; via tele nitrogen.',\n 'UniProt: Manganese 1.',\n 'UniProt: Manganese 1; via pros nitrogen.',\n 'UniProt: Manganese 1; via tele nitrogen.',\n 'UniProt: Manganese 2.',\n 'UniProt: Manganese 2; via tele nitrogen.',\n 'UniProt: Manganese.',\n 'UniProt: Manganese; via pros nitrogen.',\n 'UniProt: Molybdate.',\n 'UniProt: Molybdate; via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-bis(molybdopterin guanine dinucleotide) metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand).',\n 'UniProt: Molybdenum.',\n 'UniProt: Nickel 1.',\n 'UniProt: Nickel 2.',\n 'UniProt: Nickel.',\n 'UniProt: Nickel; shared with dimeric partner.',\n 'UniProt: Nickel; via tele nitrogen.',\n 'UniProt: Nickel; via tele nitrogen; shared with dimeric partner.',\n 'UniProt: Potassium 1.',\n 'UniProt: Potassium 1; via carbonyl oxygen.',\n 'UniProt: Potassium 2; via carbonyl oxygen.',\n 'UniProt: Potassium.',\n 'UniProt: Potassium; via carbonyl oxygen.',\n 'UniProt: Potassium; via carbonyl oxygen; shared with tetrameric partner.',\n 'UniProt: Sodium.',\n 'UniProt: Sodium; via carbonyl oxygen.',\n 'UniProt: Zinc 1.',\n 'UniProt: Zinc 1; catalytic.',\n 'UniProt: Zinc 1; via carbamate group.',\n 'UniProt: Zinc 1; via carbamate group; catalytic.',\n 'UniProt: Zinc 1; via tele nitrogen.',\n 'UniProt: Zinc 1; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 2.',\n 'UniProt: Zinc 2; catalytic.',\n 'UniProt: Zinc 2; via carbamate group.',\n 'UniProt: Zinc 2; via carbamate group; catalytic.',\n 'UniProt: Zinc 2; via pros nitrogen.',\n 'UniProt: Zinc 2; via pros nitrogen; catalytic.',\n 'UniProt: Zinc 2; via tele nitrogen.',\n 'UniProt: Zinc 2; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 3.',\n 'UniProt: Zinc.',\n 'UniProt: Zinc; catalytic.',\n 'UniProt: Zinc; shared with EIIA-Glc.',\n 'UniProt: Zinc; shared with dimeric partner.',\n 'UniProt: Zinc; shared with glycerol kinase.',\n 'UniProt: Zinc; via pros nitrogen.',\n 'UniProt: Zinc; via pros nitrogen; catalytic.',\n 'UniProt: Zinc; via tele nitrogen.',\n 'UniProt: Zn(2+); catalytic.'}"
+      "text/plain": "{'UniProt: Calcium 1.',\n 'UniProt: Calcium 1; via carbonyl oxygen.',\n 'UniProt: Calcium 1; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 1; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium 2.',\n 'UniProt: Calcium 2; in dimeric form.',\n 'UniProt: Calcium 2; via carbonyl oxygen.',\n 'UniProt: Calcium 2; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 3; in monomeric form.',\n 'UniProt: Calcium 3; shared with dimeric partner.',\n 'UniProt: Calcium 3; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium.',\n 'UniProt: Calcium; via carbonyl oxygen.',\n 'UniProt: Cobalt (adenosylcob(III)alamin axial ligand).',\n 'UniProt: Cobalt.',\n 'UniProt: Cobalt; via tele nitrogen.',\n 'UniProt: Copper.',\n 'UniProt: Copper; via pros nitrogen.',\n 'UniProt: Copper; via tele nitrogen.',\n 'UniProt: Divalent metal cation 1.',\n 'UniProt: Divalent metal cation 1; via carbamate group.',\n 'UniProt: Divalent metal cation 1; via carbonyl oxygen.',\n 'UniProt: Divalent metal cation 2.',\n 'UniProt: Divalent metal cation 2; via carbamate group.',\n 'UniProt: Divalent metal cation 3.',\n 'UniProt: Divalent metal cation.',\n 'UniProt: Divalent metal cation; shared with dimeric partner.',\n 'UniProt: Divalent metal cation; via pros nitrogen.',\n 'UniProt: Divalent metal cation; via tele nitrogen.',\n 'UniProt: Fe(2+); catalytic.',\n 'UniProt: Iron (heme 1 axial ligand).',\n 'UniProt: Iron (heme 2 axial ligand).',\n 'UniProt: Iron (heme 3 axial ligand).',\n 'UniProt: Iron (heme 4 axial ligand).',\n 'UniProt: Iron (heme 5 axial ligand).',\n 'UniProt: Iron (heme B 1 axial ligand).',\n 'UniProt: Iron (heme B 2 axial ligand).',\n 'UniProt: Iron (heme axial ligand).',\n 'UniProt: Iron (heme b axial ligand).',\n 'UniProt: Iron (heme b axial ligand); shared with dimeric partner.',\n 'UniProt: Iron (heme b proximal ligand); via tele nitrogen.',\n 'UniProt: Iron (heme b558 axial ligand).',\n 'UniProt: Iron (heme b595 axial ligand).',\n 'UniProt: Iron (heme distal ligand).',\n 'UniProt: Iron (heme o axial ligand).',\n 'UniProt: Iron (heme proximal ligand).',\n 'UniProt: Iron (siroheme axial ligand).',\n 'UniProt: Iron 1.',\n 'UniProt: Iron 1; shared with dodecameric partner.',\n 'UniProt: Iron 2.',\n 'UniProt: Iron 3.',\n 'UniProt: Iron-sulfur (2Fe-2S).',\n 'UniProt: Iron-sulfur (2Fe-2S); shared with dimeric partner.',\n 'UniProt: Iron-sulfur (2Fe-2S); via persulfide group; shared with IscU.',\n 'UniProt: Iron-sulfur (2Fe-2S); via pros nitrogen.',\n 'UniProt: Iron-sulfur (3Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S) 1.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2; 4Fe-4S-S-AdoMet.',\n 'UniProt: Iron-sulfur (4Fe-4S) 3.',\n 'UniProt: Iron-sulfur (4Fe-4S) 4.',\n 'UniProt: Iron-sulfur (4Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S-S-AdoMet).',\n 'UniProt: Iron-sulfur 1 (2Fe-2S).',\n 'UniProt: Iron-sulfur 2 (4Fe-4S).',\n 'UniProt: Iron-sulfur 3 (3Fe-4S).',\n 'UniProt: Iron-sulfur.',\n 'UniProt: Iron.',\n 'UniProt: Iron; catalytic.',\n 'UniProt: Iron; via tele nitrogen.',\n 'UniProt: Iron; via tele nitrogen; catalytic.',\n 'UniProt: Magnesium 1.',\n 'UniProt: Magnesium 1; catalytic.',\n 'UniProt: Magnesium 1; via carbonyl oxygen.',\n 'UniProt: Magnesium 1; via pros nitrogen.',\n 'UniProt: Magnesium 2.',\n 'UniProt: Magnesium 2; catalytic.',\n 'UniProt: Magnesium 3.',\n 'UniProt: Magnesium or cobalt.',\n 'UniProt: Magnesium or manganese.',\n 'UniProt: Magnesium.',\n 'UniProt: Magnesium; catalytic.',\n 'UniProt: Magnesium; via carbamate group.',\n 'UniProt: Magnesium; via carbonyl oxygen.',\n 'UniProt: Magnesium; via tele nitrogen.',\n 'UniProt: Manganese 1.',\n 'UniProt: Manganese 1; via pros nitrogen.',\n 'UniProt: Manganese 1; via tele nitrogen.',\n 'UniProt: Manganese 2.',\n 'UniProt: Manganese 2; via tele nitrogen.',\n 'UniProt: Manganese 3.',\n 'UniProt: Manganese 4.',\n 'UniProt: Manganese.',\n 'UniProt: Manganese; via pros nitrogen.',\n 'UniProt: Molybdate.',\n 'UniProt: Molybdate; via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-bis(molybdopterin guanine dinucleotide) metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand); via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand); via carbonyl oxygen.',\n 'UniProt: Molybdenum.',\n 'UniProt: Nickel 1.',\n 'UniProt: Nickel 2.',\n 'UniProt: Nickel.',\n 'UniProt: Nickel; shared with dimeric partner.',\n 'UniProt: Nickel; via tele nitrogen.',\n 'UniProt: Nickel; via tele nitrogen; shared with dimeric partner.',\n 'UniProt: Potassium 1.',\n 'UniProt: Potassium 1; via carbonyl oxygen.',\n 'UniProt: Potassium 2; via carbonyl oxygen.',\n 'UniProt: Potassium.',\n 'UniProt: Potassium; via carbonyl oxygen.',\n 'UniProt: Potassium; via carbonyl oxygen; shared with tetrameric partner.',\n 'UniProt: Sodium.',\n 'UniProt: Sodium; via carbonyl oxygen.',\n 'UniProt: Zinc 1.',\n 'UniProt: Zinc 1; catalytic.',\n 'UniProt: Zinc 1; via carbamate group.',\n 'UniProt: Zinc 1; via carbamate group; catalytic.',\n 'UniProt: Zinc 1; via tele nitrogen.',\n 'UniProt: Zinc 1; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 2.',\n 'UniProt: Zinc 2; catalytic.',\n 'UniProt: Zinc 2; via carbamate group.',\n 'UniProt: Zinc 2; via carbamate group; catalytic.',\n 'UniProt: Zinc 2; via pros nitrogen.',\n 'UniProt: Zinc 2; via pros nitrogen; catalytic.',\n 'UniProt: Zinc 2; via tele nitrogen.',\n 'UniProt: Zinc 2; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 3.',\n 'UniProt: Zinc.',\n 'UniProt: Zinc; catalytic.',\n 'UniProt: Zinc; shared with EIIA-Glc.',\n 'UniProt: Zinc; shared with dimeric partner.',\n 'UniProt: Zinc; shared with glycerol kinase.',\n 'UniProt: Zinc; structural.',\n 'UniProt: Zinc; via pros nitrogen.',\n 'UniProt: Zinc; via pros nitrogen; catalytic.',\n 'UniProt: Zinc; via tele nitrogen.',\n 'UniProt: Zn(2+); catalytic.'}"
      },
-     "execution_count": 434,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1370,20 +1359,24 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:20:14.916003Z",
-     "start_time": "2023-06-16T18:20:14.911043Z"
+     "end_time": "2023-06-21T17:35:47.893545Z",
+     "start_time": "2023-06-21T17:35:47.866154Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 501,
+   "execution_count": 29,
    "outputs": [],
    "source": [
-    "ALLOWED_METAL_NAMES = {'Iron': 'FE', 'Cobalt': 'CO', 'Copper': 'CU', 'Manganese': 'MN', 'Molybdenum': 'MO', 'Nickel': 'NI', 'Tungsten': 'W', 'Zinc': 'ZN',\n",
-    "                       'Calcium': 'CA', 'Magnesium': 'MG', 'Sodium': 'NA', 'Potassium': 'K',\n",
+    "ALLOWED_METAL_NAMES = {'Iron': 'FE+2', 'Cobalt': 'CO+2', 'Copper': 'CU+2', 'Manganese': 'MN+2', 'Molybdenum': 'MO+2', 'Nickel': 'NI+2', 'Tungsten': 'W', 'Zinc': 'ZN+2',\n",
+    "                       'Calcium': 'CA+2', 'Magnesium': 'MG+2', 'Sodium': 'NA+', 'Potassium': 'K+',\n",
     "                       'Iron-sulfur \\(4Fe-4S\\)': 'CPD-7', 'Iron-sulfur \\(2Fe-2S\\)': 'CPD-6', 'heme': 'heme', 'Molybdate': 'CPD-3'}\n",
     "\n",
+    "NON_REGEX_METAL = {'Iron': 'FE+2', 'Cobalt': 'CO+2', 'Copper': 'CU+2', 'Manganese': 'MN+2', 'Molybdenum': 'MO+2', 'Nickel': 'NI+2', 'Tungsten': 'W', 'Zinc': 'ZN+2',\n",
+    "                       'Calcium': 'CA+2', 'Magnesium': 'MG+2', 'Sodium': 'NA+', 'Potassium': 'K+',\n",
+    "                       'Iron-sulfur (4Fe-4S)': 'CPD-7', 'Iron-sulfur (2Fe-2S)': 'CPD-6', 'heme': 'heme', 'Molybdate': 'CPD-3'}\n",
+    "\n",
     "pre_complex_df['metal_binding_processed'] = 0\n",
     "pre_complex_df['metal_binding_processed'] = pre_complex_df['metal_binding_processed'].astype(object)\n",
     "\n",
@@ -1416,6 +1409,11 @@
     "                    if metal[-1].isdigit():\n",
     "                        metal = metal[:-2]\n",
     "\n",
+    "                    metal = metal.strip()\n",
+    "\n",
+    "                    # replace metal name with allowed metal name\n",
+    "                    metal = NON_REGEX_METAL[metal]\n",
+    "\n",
     "                    if metal in metal_count_dict:\n",
     "                        metal_count_dict[metal] += 1\n",
     "                    else:\n",
@@ -1429,21 +1427,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T19:01:28.742373Z",
-     "start_time": "2023-06-19T19:01:28.730817Z"
+     "end_time": "2023-06-21T17:35:47.907513Z",
+     "start_time": "2023-06-21T17:35:47.889213Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 502,
+   "execution_count": 30,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                  None   \n1                                                  None   \n2     [UniProt: Magnesium or manganese., UniProt: Ma...   \n3                      [UniProt: Iron-sulfur (4Fe-4S).]   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                               None   \n1097                                               None   \n1098                                               None   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                          0  \n1                          0  \n2                {'MG+2': 1}  \n3               {'CPD-7': 1}  \n4                {'MG+2': 1}  \n...                      ...  \n1096                       0  \n1097                       0  \n1098                       0  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium or manganese., UniProt: Ma...</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[UniProt: Iron-sulfur (4Fe-4S).]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 502,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1454,21 +1452,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T19:01:29.289889Z",
-     "start_time": "2023-06-19T19:01:29.245680Z"
+     "end_time": "2023-06-21T17:35:47.913884Z",
+     "start_time": "2023-06-21T17:35:47.905437Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 506,
+   "execution_count": 31,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                                []   \n1097                                                []   \n1098                                                []   \n1099                                                []   \n1100                                                []   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1096                        CPLX0-8053   \n1097                        CPLX0-8253   \n1098                          SRP-CPLX   \n1099                     CPLX0-7796APO   \n1100                         ARCB-CPLX   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]             {'MG+2': 1}  \n3                                              [CPD-7]            {'CPD-7': 1}  \n4                                               [MG+2]             {'MG+2': 1}  \n...                                                ...                     ...  \n1096                                                []                      {}  \n1097                                                []                      {}  \n1098                                                []                      {}  \n1099                                                []                      {}  \n1100                                                []                      {}  \n\n[1101 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 3 columns</p>\n</div>"
      },
-     "execution_count": 506,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1482,28 +1480,139 @@
     "    if pre_complex_df.loc[i, 'cofactors'] == None:\n",
     "        pre_complex_df.at[i, 'cofactors'] = []\n",
     "\n",
-    "pre_complex_df"
+    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-21T17:35:47.984684Z",
+     "start_time": "2023-06-21T17:35:47.920942Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1083                       UPPSYN-CPLX   \n1084         URACIL-PRIBOSYLTRANS-CPLX   \n1085                       URPHOS-CPLX   \n1088                      XYLISOM-CPLX   \n1091                        CPLX0-1382   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]             {'MG+2': 1}  \n3                                              [CPD-7]            {'CPD-7': 1}  \n4                                               [MG+2]             {'MG+2': 1}  \n...                                                ...                     ...  \n1083                                            [MG+2]             {'MG+2': 1}  \n1084                                            [MG+2]                      {}  \n1085                                              [K+]                      {}  \n1088                                      [MG+2, MN+2]             {'MG+2': 2}  \n1091                                            [MG+2]                      {}  \n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1088</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 2}</td>\n    </tr>\n    <tr>\n      <th>1091</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# only include rows that have cofactors or metal binding\n",
+    "pre_complex_df.loc[(pre_complex_df['cofactors'].map(len) > 0) | (pre_complex_df['metal_binding_processed'].map(len) > 0),['complex', 'cofactors', 'metal_binding_processed']]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:31:03.340718Z",
-     "start_time": "2023-06-19T21:31:03.334662Z"
+     "end_time": "2023-06-21T17:55:29.879045Z",
+     "start_time": "2023-06-21T17:55:29.874924Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 507,
+   "execution_count": 55,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                            cofactors metal_binding_processed  \n0                                              [MG+2]                      {}  \n1    [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                        [MG+2, MN+2]             {'MG+2': 1}  \n3                                             [CPD-7]            {'CPD-7': 1}  \n4                                              [MG+2]             {'MG+2': 1}  \n..                                                ...                     ...  \n442                                            [MG+2]             {'MG+2': 1}  \n443                                            [MG+2]                      {}  \n444                                              [K+]                      {}  \n445                                      [MG+2, MN+2]             {'MG+2': 2}  \n446                                            [MG+2]                      {}  \n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 2}</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filtered_complex_df =  pre_complex_df.loc[(pre_complex_df['cofactors'].map(len) > 0) | (pre_complex_df['metal_binding_processed'].map(len) > 0),\n",
+    "                                          ['complex', 'cofactors', 'metal_binding_processed']].reset_index(drop=True)\n",
+    "\n",
+    "filtered_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-21T23:50:55.663323Z",
+     "start_time": "2023-06-21T23:50:55.654291Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                            cofactors metal_binding_processed  \\\n0                                              [MG+2]                      {}   \n1    [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}   \n2                                        [MG+2, MN+2]             {'MG+2': 1}   \n3                                             [CPD-7]            {'CPD-7': 1}   \n4                                              [MG+2]             {'MG+2': 1}   \n..                                                ...                     ...   \n442                                            [MG+2]             {'MG+2': 1}   \n443                                            [MG+2]                      {}   \n444                                              [K+]                      {}   \n445                                      [MG+2, MN+2]             {'MG+2': 2}   \n446                                            [MG+2]                      {}   \n\n                                              combined  \n0                                          {'MG+2': 1}  \n1    {'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...  \n2                               {'MG+2': 1, 'MN+2': 1}  \n3                                         {'CPD-7': 1}  \n4                                          {'MG+2': 1}  \n..                                                 ...  \n442                                        {'MG+2': 1}  \n443                                        {'MG+2': 1}  \n444                                          {'K+': 1}  \n445                             {'MG+2': 2, 'MN+2': 1}  \n446                                        {'MG+2': 1}  \n\n[447 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n      <th>combined</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n      <td>{'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n      <td>{'MG+2': 1, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>{}</td>\n      <td>{'K+': 1}</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 2}</td>\n      <td>{'MG+2': 2, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filtered_complex_df['combined'] = 0\n",
+    "filtered_complex_df['combined'] = filtered_complex_df['combined'].astype(object)\n",
+    "\n",
+    "# for each complex, if there are both cofactors and metal binding, combine them\n",
+    "for i in range(len(filtered_complex_df.index)):\n",
+    "    cofactors = filtered_complex_df.at[i, 'cofactors']\n",
+    "    metal_binding = filtered_complex_df.at[i, 'metal_binding_processed']\n",
+    "\n",
+    "    # if both are not empty\n",
+    "    if len(cofactors) > 0 and len(metal_binding) > 0:\n",
+    "\n",
+    "        new_cofactors = set(cofactors) - set(metal_binding)\n",
+    "\n",
+    "        # create new dict that adds new cofactors to metal binding with stoichiometry of 1\n",
+    "        new_metal_binding = metal_binding.copy()\n",
+    "        for cofactor in new_cofactors:\n",
+    "            new_metal_binding[cofactor] = 1\n",
+    "\n",
+    "\n",
+    "        filtered_complex_df.at[i, 'combined'] = new_metal_binding\n",
+    "\n",
+    "    elif len(cofactors) > 0:\n",
+    "        # create dict with stoichiometry of 1 for each cofactor\n",
+    "        new_cofactors = {}\n",
+    "        for cofactor in cofactors:\n",
+    "            new_cofactors[cofactor] = 1\n",
+    "\n",
+    "        filtered_complex_df.at[i, 'combined'] = new_cofactors\n",
+    "\n",
+    "    elif len(metal_binding) > 0:\n",
+    "        filtered_complex_df.at[i, 'combined'] = metal_binding\n",
+    "\n",
+    "filtered_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-21T23:52:07.278056Z",
+     "start_time": "2023-06-21T23:52:07.275285Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
    "outputs": [],
    "source": [
-    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']].to_csv('cofactors_new.csv', index=False)"
+    "filtered_complex_df.to_csv('cofactors_new.csv', index=False)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:32:57.743647Z",
-     "start_time": "2023-06-19T21:32:57.736816Z"
+     "end_time": "2023-06-22T16:27:50.919277Z",
+     "start_time": "2023-06-22T16:27:50.907076Z"
     }
    }
   },
@@ -1514,6 +1623,96 @@
     "collapsed": false
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Experiment with UniProt API"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'name': 'Mn(2+)', 'dbReference': {'type': 'CHEBI', 'id': 'CHEBI:29035'}}]\n",
+      "[{'value': 'Binds 1 Mn(2+) ion per subunit'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use UniProt api to fetch cofactor for protein P00448\n",
+    "import urllib.request\n",
+    "import json\n",
+    "\n",
+    "url = 'https://www.ebi.ac.uk/proteins/api/proteins/P00448'\n",
+    "\n",
+    "req = urllib.request.Request(url)\n",
+    "with urllib.request.urlopen(req) as f:\n",
+    "    response = f.read()\n",
+    "    data = json.loads(response.decode('utf-8'))\n",
+    "\n",
+    "    # get cofactors\n",
+    "    for comment in data['comments']:\n",
+    "        if 'cofactors' in comment:\n",
+    "            print(comment['cofactors'], comment['text'], sep='\\n')\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T21:25:21.915988Z",
+     "start_time": "2023-06-22T21:25:21.100732Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'text': [{'value': 'Destroys superoxide anion radicals which are normally '\n",
+      "                     'produced within the cells and which are toxic to '\n",
+      "                     'biological systems'}],\n",
+      "  'type': 'FUNCTION'},\n",
+      " {'reaction': {'dbReferences': [{'id': 'RHEA:20696', 'type': 'Rhea'},\n",
+      "                                {'id': 'CHEBI:15378', 'type': 'ChEBI'},\n",
+      "                                {'id': 'CHEBI:15379', 'type': 'ChEBI'},\n",
+      "                                {'id': 'CHEBI:16240', 'type': 'ChEBI'},\n",
+      "                                {'id': 'CHEBI:18421', 'type': 'ChEBI'}],\n",
+      "               'ecNumber': '1.15.1.1',\n",
+      "               'name': '2 H(+) + 2 superoxide = H2O2 + O2'},\n",
+      "  'type': 'CATALYTIC_ACTIVITY'},\n",
+      " {'cofactors': [{'dbReference': {'id': 'CHEBI:29035', 'type': 'CHEBI'},\n",
+      "                 'name': 'Mn(2+)'}],\n",
+      "  'text': [{'value': 'Binds 1 Mn(2+) ion per subunit'}],\n",
+      "  'type': 'COFACTOR'},\n",
+      " {'text': [{'value': 'Homodimer'}], 'type': 'SUBUNIT'},\n",
+      " {'text': [{'evidences': [{'code': 'ECO:0000305'}],\n",
+      "            'value': 'Belongs to the iron/manganese superoxide dismutase '\n",
+      "                     'family'}],\n",
+      "  'type': 'SIMILARITY'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pp.pprint(data['comments'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T21:23:33.189130Z",
+     "start_time": "2023-06-22T21:23:33.186586Z"
+    }
+   }
+  },
   {
    "cell_type": "markdown",
    "source": [
@@ -1525,39 +1724,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 62,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                              combined  \n0                                          {'MG+2': 1}  \n1    {'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...  \n2                               {'MG+2': 1, 'MN+2': 1}  \n3                                         {'CPD-7': 1}  \n4                                          {'MG+2': 1}  \n..                                                 ...  \n442                                        {'MG+2': 1}  \n443                                        {'MG+2': 1}  \n444                                          {'K+': 1}  \n445                             {'MG+2': 2, 'MN+2': 1}  \n446                                        {'MG+2': 1}  \n\n[447 rows x 2 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>combined</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>{'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>{'MG+2': 1, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>{'K+': 1}</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>{'MG+2': 2, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 2 columns</p>\n</div>"
      },
-     "execution_count": 169,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "complex_df = pd.read_csv('notebooks/fbagd/cofactors.csv', sep=',').fillna('None')\n",
-    "complex_df.cofactors = complex_df.cofactors.apply(ast.literal_eval)\n",
-    "complex_df['counts'] = 0\n",
+    "complex_df = pd.read_csv('notebooks/fbagd/cofactors_new.csv', sep=',').fillna('None').loc[:, ['complex', 'combined']]\n",
+    "complex_df.combined = complex_df.combined.apply(ast.literal_eval)\n",
     "\n",
-    "# replace None with empty list\n",
-    "complex_df['cofactors'] = complex_df['cofactors'].apply(lambda x: [] if x is None else x)\n",
     "\n",
     "complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:11:57.117402Z",
-     "start_time": "2023-06-14T21:11:57.103792Z"
+     "end_time": "2023-06-22T16:45:44.133846Z",
+     "start_time": "2023-06-22T16:45:44.121156Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 63,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -1569,14 +1765,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:16.631995Z",
-     "start_time": "2023-06-14T21:12:16.630454Z"
+     "end_time": "2023-06-22T16:47:32.088129Z",
+     "start_time": "2023-06-22T16:47:32.081925Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 64,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -1588,14 +1784,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:17.089573Z",
-     "start_time": "2023-06-14T21:12:17.010486Z"
+     "end_time": "2023-06-22T16:47:33.369506Z",
+     "start_time": "2023-06-22T16:47:33.328879Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 65,
    "outputs": [],
    "source": [
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
@@ -1605,14 +1801,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:17.951305Z",
-     "start_time": "2023-06-14T21:12:17.442672Z"
+     "end_time": "2023-06-22T16:47:35.889210Z",
+     "start_time": "2023-06-22T16:47:33.820310Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 66,
    "outputs": [],
    "source": [
     "metabolism = agent['ecoli-metabolism-redux']\n",
@@ -1622,14 +1818,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:17.956297Z",
-     "start_time": "2023-06-14T21:12:17.954605Z"
+     "end_time": "2023-06-22T16:47:36.466907Z",
+     "start_time": "2023-06-22T16:47:36.458720Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 67,
    "outputs": [],
    "source": [
     "bulk = pd.DataFrame(output['bulk'], columns=bulk_ids)"
@@ -1637,39 +1833,39 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:18.753896Z",
-     "start_time": "2023-06-14T21:12:18.172277Z"
+     "end_time": "2023-06-22T16:47:37.266100Z",
+     "start_time": "2023-06-22T16:47:36.725500Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 74,
    "outputs": [
     {
-     "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
-     },
-     "execution_count": 175,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPLX0-7533[o]\n"
+     ]
     }
    ],
    "source": [
-    "complex_df"
+    "for name in bulk.keys():\n",
+    "    if 'CPLX0-7533' in name:\n",
+    "        print(name)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:18.761011Z",
-     "start_time": "2023-06-14T21:12:18.758491Z"
+     "end_time": "2023-06-22T17:12:24.632577Z",
+     "start_time": "2023-06-22T17:12:24.628917Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 80,
    "outputs": [],
    "source": [
     "for complex_name in complex_df['complex']:\n",
@@ -1687,21 +1883,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:25.830761Z",
-     "start_time": "2023-06-14T21:12:22.273449Z"
+     "end_time": "2023-06-22T19:13:36.412491Z",
+     "start_time": "2023-06-22T19:13:35.481669Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 85,
    "outputs": [
     {
      "data": {
-      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709        []   36915  \n390        []   19181  \n864        []   13436  \n487        []   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123        []       0  \n124        []       0  \n126        []       0  \n132        []       0  \n328        []       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>[]</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>[]</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>[]</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                    complex                      combined   counts\n359         ISOCITHASE-CPLX        {'MG+2': 1, 'MN+2': 1}  12315.0\n427   SUPEROX-DISMUTMN-CPLX                   {'MN+2': 1}  10096.0\n399          PHOSGLYCMUTASE  {'23-DIPHOSPHOGLYCERATE': 1}  10058.0\n305            ENOLASE-CPLX                   {'MG+2': 1}   6645.0\n18            ACSERLYA-CPLX    {'PYRIDOXAL_PHOSPHATE': 1}   6269.0\n..                      ...                           ...      ...\n307           ENTMULTI-CPLX                   {'MG+2': 1}      NaN\n321           GCVMULTI-CPLX            {'LIPOIC-ACID': 1}      NaN\n383               NQOR-CPLX                    {'FMN': 1}      NaN\n400  PHOSPHASERDECARB-DIMER              {'CPD0-2654': 1}      NaN\n420          SAMDECARB-CPLX   {'CPD0-2654': 1, 'MG+2': 1}      NaN\n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>combined</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>359</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>{'MG+2': 1, 'MN+2': 1}</td>\n      <td>12315.0</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>SUPEROX-DISMUTMN-CPLX</td>\n      <td>{'MN+2': 1}</td>\n      <td>10096.0</td>\n    </tr>\n    <tr>\n      <th>399</th>\n      <td>PHOSGLYCMUTASE</td>\n      <td>{'23-DIPHOSPHOGLYCERATE': 1}</td>\n      <td>10058.0</td>\n    </tr>\n    <tr>\n      <th>305</th>\n      <td>ENOLASE-CPLX</td>\n      <td>{'MG+2': 1}</td>\n      <td>6645.0</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>ACSERLYA-CPLX</td>\n      <td>{'PYRIDOXAL_PHOSPHATE': 1}</td>\n      <td>6269.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>307</th>\n      <td>ENTMULTI-CPLX</td>\n      <td>{'MG+2': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>321</th>\n      <td>GCVMULTI-CPLX</td>\n      <td>{'LIPOIC-ACID': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>383</th>\n      <td>NQOR-CPLX</td>\n      <td>{'FMN': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>400</th>\n      <td>PHOSPHASERDECARB-DIMER</td>\n      <td>{'CPD0-2654': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>420</th>\n      <td>SAMDECARB-CPLX</td>\n      <td>{'CPD0-2654': 1, 'MG+2': 1}</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
      },
-     "execution_count": 177,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1712,34 +1908,71 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:25.837788Z",
-     "start_time": "2023-06-14T21:12:25.831167Z"
+     "end_time": "2023-06-22T19:15:31.092276Z",
+     "start_time": "2023-06-22T19:15:31.090307Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                             combined  counts  \n0                                              [MG+2]    31.0  \n1    [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]    86.0  \n2                                        [MG+2, MN+2]  1065.0  \n3                                             [CPD-7]  2631.0  \n4                                              [MG+2]   174.0  \n..                                                ...     ...  \n442                                            [MG+2]    56.0  \n443                                            [MG+2]  1068.0  \n444                                              [K+]   176.0  \n445                                [MG+2, MG+2, MN+2]     1.0  \n446                                            [MG+2]     0.0  \n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>combined</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>31.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>1065.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>2631.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>174.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>56.0</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>1068.0</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>176.0</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MG+2, MN+2]</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a new column in complex_df that is a list with each cofactor multiplied by its stoichiometry\n",
+    "\n",
+    "for i in range(len(complex_df.index)):\n",
+    "    cofactor_dict = complex_df.at[i, 'combined']\n",
+    "    cofactor_list = []\n",
+    "\n",
+    "    for cofactor in cofactor_dict:\n",
+    "        for j in range(cofactor_dict[cofactor]):\n",
+    "            cofactor_list.append(cofactor)\n",
+    "\n",
+    "    complex_df.at[i, 'combined'] = cofactor_list\n",
+    "\n",
+    "complex_df\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T19:20:47.535087Z",
+     "start_time": "2023-06-22T19:20:47.532120Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 84,
    "outputs": [
     {
      "data": {
-      "text/plain": "                        counts\ncofactors                     \nMG+2                     55738\nMN+2                     27211\nPYRIDOXAL_PHOSPHATE      24413\nZN+2                     12807\n23-DIPHOSPHOGLYCERATE    10058\nFAD                       8954\nK+                        5157\nCPD-7                     4556\nFE+2                      3256\nTHIAMINE-PYROPHOSPHATE    1868\nNI+2                      1375\nFMN                       1256\nHeme-b                    1025\nCU+2                       817\nHEME_O                     814\nNAD                        730\nCPD-6                      635\nHCO3                       426\nCO+2                       353\nNADP                       253\n3FE-4S                     212\nLIPOIC-ACID                180\nFE+3                       161\nCA+2                       155\nPROTOHEME                  139\nLYS                        116\nFMNH2                      110\nSIROHEME                    98\nFeS-Centers                 76\nAMMONIUM                    52\nCPD-23429                   46\nNADPH                       40\nCPD-15873                   40\nCPD-18260                   23\nCPD-8123                    17\nCPD0-1882                   15\nHEME_D                      13\nHEME_C                      13\nADENOSYLCOBALAMIN            9\nTOPAQUINONE                  3\nCPD0-2654                    0\nCPD-24862                    0\nCPD-17649                    0\nGTP                          0",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                   combined  counts\n0                      MG+2    31.0\n1               LIPOIC-ACID    86.0\n1    THIAMINE-PYROPHOSPHATE    86.0\n1                       FAD    86.0\n1                      MG+2    86.0\n..                      ...     ...\n443                    MG+2  1068.0\n444                      K+   176.0\n445                    MG+2     1.0\n445                    MN+2     1.0\n446                    MG+2     0.0\n\n[613 rows x 2 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>combined</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>MG+2</td>\n      <td>31.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>LIPOIC-ACID</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>THIAMINE-PYROPHOSPHATE</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>FAD</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>MG+2</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>MG+2</td>\n      <td>1068.0</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>K+</td>\n      <td>176.0</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>MG+2</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>MN+2</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>MG+2</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>613 rows × 2 columns</p>\n</div>"
      },
-     "execution_count": 179,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "cofactor_df = complex_df[['cofactors', 'counts']].explode('cofactors').groupby('cofactors').sum().sort_values(by='counts', ascending=False)\n",
+    "cofactor_df = complex_df[['combined', 'counts']].explode('combined').groupby('combined').sum().sort_values(by='counts', ascending=False)\n",
     "cofactor_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:43.875673Z",
-     "start_time": "2023-06-14T21:12:43.867800Z"
+     "end_time": "2023-06-22T19:14:54.615960Z",
+     "start_time": "2023-06-22T19:14:54.610137Z"
     }
    }
   },
diff --git a/notebooks/fbagd/metal_binding_uniprot.ipynb b/notebooks/fbagd/metal_binding_uniprot.ipynb
new file mode 100644
index 000000000..6d1a7cd92
--- /dev/null
+++ b/notebooks/fbagd/metal_binding_uniprot.ipynb
@@ -0,0 +1,1287 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import pprint\n",
+    "import ast\n",
+    "import re\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:00:58.604688Z",
+     "start_time": "2023-06-22T23:00:58.566622Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
+    "stoich_series = complexation_rxn_df.loc[:,['id', 'stoichiometry']].dropna().reset_index(drop=True)\n",
+    "\n",
+    "stoich_list = []\n",
+    "for i, stoich in enumerate(stoich_series.loc[:, 'stoichiometry']):\n",
+    "\n",
+    "    stoich = stoich.replace('null', '-1')\n",
+    "\n",
+    "    stoich = ast.literal_eval(stoich)\n",
+    "    for k,v in stoich.items():\n",
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None, None])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:00:58.634337Z",
+     "start_time": "2023-06-22T23:00:58.606119Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                    complex  stoichiometry                   reaction  \\\n0                     1-PFK              1                  1-PFK_RXN   \n1             1-PFK-MONOMER             -2                  1-PFK_RXN   \n2     2OXOGLUTARATEDEH-CPLX              1  2OXOGLUTARATEDEH-CPLX_RXN   \n3                       E1O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n4                       E2O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n...                     ...            ...                        ...   \n2811                FFS-RNA             -1               SRP-CPLX_RXN   \n2812          CPLX0-7796APO              1          CPLX0-7796APO_RXN   \n2813                PD04032             -2          CPLX0-7796APO_RXN   \n2814              ARCB-CPLX              1              ARCB-CPLX_RXN   \n2815           ARCB-MONOMER             -2              ARCB-CPLX_RXN   \n\n     enzyme-reaction cofactors metal_binding  \n0               None      None          None  \n1               None      None          None  \n2               None      None          None  \n3               None      None          None  \n4               None      None          None  \n...              ...       ...           ...  \n2811            None      None          None  \n2812            None      None          None  \n2813            None      None          None  \n2814            None      None          None  \n2815            None      None          None  \n\n[2816 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>-2</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E1O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E2O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2811</th>\n      <td>FFS-RNA</td>\n      <td>-1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2812</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2813</th>\n      <td>PD04032</td>\n      <td>-2</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2814</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2815</th>\n      <td>ARCB-MONOMER</td>\n      <td>-2</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>2816 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors', 'metal_binding'])\n",
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:01:19.604470Z",
+     "start_time": "2023-06-22T23:01:19.599129Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "'int' object is not iterable",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_89907/3715509847.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      1\u001B[0m \u001B[0;31m# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 2\u001B[0;31m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mlen\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mindex\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      3\u001B[0m     \u001B[0mcomplex\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'complex'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m     \u001B[0mreq_str\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34mf'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
+     ]
+    }
+   ],
+   "source": [
+    "# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\n",
+    "for i in len(pre_complex_df.index):\n",
+    "    complex = pre_complex_df.loc[i, 'complex']\n",
+    "    req_str = f'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    o = xmltodict.parse(r.content)\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:25:26.706122Z",
+     "start_time": "2023-06-22T23:25:26.586031Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Get the monomers of a complex"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:13:53.550880Z",
+     "start_time": "2023-06-22T23:13:53.205788Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'@ID': 'ECOLI:LEUC-MONOMER',\n",
+      " '@detail': 'full',\n",
+      " '@frameid': 'LEUC-MONOMER',\n",
+      " '@orgid': 'ECOLI',\n",
+      " 'citation': [{'Publication': {'@ID': 'ECOLI:PUB-320178',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-320178',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Davis MG',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Calvo JM',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '320178',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'J Bacteriol 129(2);1078-90',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'Isolation and '\n",
+      "                                                  'characterization of lambda '\n",
+      "                                                  'pleu bacteriophages.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '1977',\n",
+      "                                        '@datatype': 'integer'}}},\n",
+      "              {'Publication': {'@ID': 'ECOLI:PUB-15657047',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-15657047',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Yang CR',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Shapiro BE',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Hung SP',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Mjolsness ED',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Hatfield GW',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '15657047',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'J Biol Chem '\n",
+      "                                                   '280(12);11224-32',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'A mathematical model for '\n",
+      "                                                  'the branched chain amino '\n",
+      "                                                  'acid biosynthetic pathways '\n",
+      "                                                  'of Escherichia coli K12.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '2005',\n",
+      "                                        '@datatype': 'integer'}}},\n",
+      "              {'Publication': {'@ID': 'ECOLI:PUB-28637476',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-28637476',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Parimi NS',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Durie IA',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Wu X',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Niyas AMM',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Eiteman MA',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '28637476',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'Microb Cell Fact 16(1);114',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'Eliminating acetate '\n",
+      "                                                  'formation improves '\n",
+      "                                                  'citramalate production by '\n",
+      "                                                  'metabolically engineered '\n",
+      "                                                  'Escherichia coli.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '2017',\n",
+      "                                        '@datatype': 'integer'}}},\n",
+      "              {'Publication': {'@ID': 'ECOLI:PUB-28744578',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-28744578',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Wu X',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Eiteman MA',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '28744578',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'J Ind Microbiol Biotechnol '\n",
+      "                                                   '44(10);1483-1490',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'Synthesis of citramalic '\n",
+      "                                                  'acid from glycerol by '\n",
+      "                                                  'metabolically engineered '\n",
+      "                                                  'Escherichia coli.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '2017',\n",
+      "                                        '@datatype': 'integer'}}}],\n",
+      " 'comment': {'#text': 'Isopropylmalate (IPM) isomerase catalyzes the second '\n",
+      "                      'step in leucine biosynthesis, converting '\n",
+      "                      '2-isopropylmalate to 3-isopropylmalate. LeuC and LeuD '\n",
+      "                      'are both required for the activity of IPM isomerase [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/4587614\">Yang74</a>, '\n",
+      "                      '<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/23636690\">Carlsen13</a>]. \\n'\n",
+      "                      '<p>\\n'\n",
+      "                      'Based on the IPM isomerase in <i>Salmonella '\n",
+      "                      'typhimurium</i> and cross-species complementation '\n",
+      "                      'studies with the <i>Salmonella</i> [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/7026530\">Fultz81</a>, '\n",
+      "                      '<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/374346\">Fultz79</a>] '\n",
+      "                      'and <i>S. cerevisiae</i> [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/23636690\">Carlsen13</a>] '\n",
+      "                      'enzymes, <i>E. coli</i> IPM isomerase is likely to be a '\n",
+      "                      'protein complex consisting of a 1:1 pairing of the of '\n",
+      "                      '<i>leuC</i> and <i>leuD</i> gene products [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/7026530\">Fultz81</a>, '\n",
+      "                      '<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/374346\">Fultz79</a>].\\n'\n",
+      "                      '<p>\\n'\n",
+      "                      'LeuC protein levels are increased in a '\n",
+      "                      'threonine-overproducing mutant [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/15104539\">Kim04</a>]; '\n",
+      "                      'LeuC leves are decreased after 30 minutes of excess '\n",
+      "                      'zinc stress [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/17122063\">Easton06</a>].\\n'\n",
+      "                      '<p>\\n'\n",
+      "                      '<i>leuC</i> insertion mutants, which cause leucine '\n",
+      "                      'auxotrophy, lead to increased antibiotic tolerance in '\n",
+      "                      'biofilms under leucine starvation conditions [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/23300476\">Bernier13</a>].',\n",
+      "             '@datatype': 'string'},\n",
+      " 'common-name': {'#text': '3-isopropylmalate dehydratase subunit LeuC',\n",
+      "                 '@datatype': 'string'},\n",
+      " 'component-of': {'Protein': {'@frameid': '3-ISOPROPYLMALISOM-CPLX',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:3-ISOPROPYLMALISOM-CPLX'}},\n",
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+      "             'dblink-db': 'PRINTS',\n",
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+      "             'dblink-db': 'PRODB',\n",
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+      "             'dblink-db': 'ECOLIWIKI',\n",
+      "             'dblink-oid': 'b0072',\n",
+      "             'dblink-relationship': 'unification'},\n",
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+      "             'dblink-db': 'UNIPROT',\n",
+      "             'dblink-oid': 'P0A6A6',\n",
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+      "             'dblink-db': 'REFSEQ',\n",
+      "             'dblink-oid': 'NP_414614',\n",
+      "             'dblink-relationship': 'unification'}],\n",
+      " 'gene': {'Gene': {'@frameid': 'EG11576',\n",
+      "                   '@orgid': 'ECOLI',\n",
+      "                   '@resource': 'getxml?ECOLI:EG11576'}},\n",
+      " 'has-feature': [{'Feature': {'@ID': 'ECOLI:FTR0-1602312',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1602312',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'accession-1': {'#text': 'PF00330.23',\n",
+      "                                              '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
+      "                                                             '@class': 'true',\n",
+      "                                                             '@detail': 'full',\n",
+      "                                                             '@frameid': 'EV-COMP-AINF',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'computationally '\n",
+      "                                                                                      'without '\n",
+      "                                                                                      'human '\n",
+      "                                                                                      'oversight',\n",
+      "                                                                             '@datatype': 'string'},\n",
+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
+      "                                                           '@detail': 'full',\n",
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+      "                                                           'author': [...],\n",
+      "                                                           'pubmed-id': {...},\n",
+      "                                                           'source': {...},\n",
+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '7',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Pfam-Features',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
+      "                              'right-end-position': {'#text': '457',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
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+      "                              '@frameid': 'FTR0-1589756',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'G',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: In Ref. 5; '\n",
+      "                                                   'BAA21004/BAA21005..',\n",
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+      "                              'evidence': [{'Evidence-Code': {...},\n",
+      "                                            'Publication': {...}},\n",
+      "                                           {'Evidence-Code': {...},\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '74',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Sequence-Conflicts',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Sequence-Conflicts'}},\n",
+      "                              'right-end-position': {'#text': '74',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
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+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1589755',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron-sulfur '\n",
+      "                                                   '(4Fe-4S).',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-HINF-ISM',\n",
+      "                                                             '@class': 'true',\n",
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+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'from '\n",
+      "                                                                                      'Sequence '\n",
+      "                                                                                      'Model',\n",
+      "                                                                             '@datatype': 'string'},\n",
+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
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+      "                              'residue-number': {'#text': '410',\n",
+      "                                                 '@datatype': 'integer'}}},\n",
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+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1589754',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron-sulfur '\n",
+      "                                                   '(4Fe-4S).',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-COMP-HINF-ISM',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             '@resource': '#ECOLI:EV-COMP-HINF-ISM'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Metal-Binding-Sites',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Metal-Binding-Sites'}},\n",
+      "                              'residue-number': {'#text': '407',\n",
+      "                                                 '@datatype': 'integer'}}},\n",
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+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1589753',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron-sulfur '\n",
+      "                                                   '(4Fe-4S).',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-COMP-HINF-ISM',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             '@resource': '#ECOLI:EV-COMP-HINF-ISM'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           '@resource': '#ECOLI:PUB-UNIPROT-2021-03'}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Metal-Binding-Sites',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Metal-Binding-Sites'}},\n",
+      "                              'residue-number': {'#text': '347',\n",
+      "                                                 '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1589752',\n",
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+      "                              '@frameid': 'FTR0-1589752',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: 3-isopropylmalate '\n",
+      "                                                   'dehydratase large subunit.',\n",
+      "                                          '@datatype': 'string'},\n",
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+      "                                                             '@orgid': 'ECOLI',\n",
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+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
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+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '2',\n",
+      "                                                    '@datatype': 'integer'},\n",
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+      "                                                     '@frameid': 'Chains',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Removed.',\n",
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+      "                                           {'Evidence-Code': {...},\n",
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+      "                                           {'Evidence-Code': {...},\n",
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+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Cleavage-of-Initial-Methionine',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Cleavage-of-Initial-Methionine'}},\n",
+      "                              'residue-number': {'#text': '1',\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
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+      "                                               'author': {'#text': 'UniProt',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Electronic '\n",
+      "                                                                  'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotations '\n",
+      "                                                                  'created by '\n",
+      "                                                                  'ARBA '\n",
+      "                                                                  'machine '\n",
+      "                                                                  'learning '\n",
+      "                                                                  'models',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
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+      "                               'with': {'#text': 'ARBA\\\\:ARBA00027279',\n",
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+      "                                                 '@frameid': 'EV-EXP-IPI',\n",
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+      "                                                                      'inferred '\n",
+      "                                                                      'from '\n",
+      "                                                                      'physical '\n",
+      "                                                                      'interaction\\n'\n",
+      "                                                                      '\\n'\n",
+      "                                                                      '<br>\\n'\n",
+      "                                                                      'The '\n",
+      "                                                                      'assertion '\n",
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+      "                                                                      '<ul>\\n'\n",
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+      "                                                                      '2-hybrid '\n",
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+      "                                                                      '    '\n",
+      "                                                                      '<li> '\n",
+      "                                                                      'Co-purification\\n'\n",
+      "                                                                      '    '\n",
+      "                                                                      '<li> '\n",
+      "                                                                      'Co-immunoprecipitation\\n'\n",
+      "                                                                      '    '\n",
+      "                                                                      '<li> '\n",
+      "                                                                      'Ion/protein '\n",
+      "                                                                      'binding '\n",
+      "                                                                      'experiments\\n'\n",
+      "                                                                      '</ul><p '\n",
+      "                                                                      'class=ecocomment>\\n'\n",
+      "                                                                      'This '\n",
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+      "                                                                      'interest '\n",
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+      "                                                                      'molecule '\n",
+      "                                                                      '(or '\n",
+      "                                                                      'ion, or '\n",
+      "                                                                      'complex). '\n",
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+      "                                                                      'protein '\n",
+      "                                                                      'binding '\n",
+      "                                                                      'or '\n",
+      "                                                                      'nucleic '\n",
+      "                                                                      'acid '\n",
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+      "                                                                      'binding '\n",
+      "                                                                      'assay '\n",
+      "                                                                      'is\\n'\n",
+      "                                                                      'simultaneously '\n",
+      "                                                                      'IPI and '\n",
+      "                                                                      'IDA; '\n",
+      "                                                                      'IDA is '\n",
+      "                                                                      'preferred '\n",
+      "                                                                      'because '\n",
+      "                                                                      'the '\n",
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+      "                                                                      'directly '\n",
+      "                                                                      'detects '\n",
+      "                                                                      'the '\n",
+      "                                                                      'binding. '\n",
+      "                                                                      'For '\n",
+      "                                                                      'both '\n",
+      "                                                                      'IPI and '\n",
+      "                                                                      'IGI, it '\n",
+      "                                                                      'would '\n",
+      "                                                                      'be '\n",
+      "                                                                      'good\\n'\n",
+      "                                                                      'practice '\n",
+      "                                                                      'to '\n",
+      "                                                                      'qualify '\n",
+      "                                                                      'them '\n",
+      "                                                                      'with '\n",
+      "                                                                      'the '\n",
+      "                                                                      'gene/protein/ion.',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                                 'common-name': {'#text': 'Inferred '\n",
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+      "                                                                          'physical '\n",
+      "                                                                          'interaction',\n",
+      "                                                                 '@datatype': 'string'},\n",
+      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                              '@frameid': 'EV-EXP',\n",
+      "                                                                              '@orgid': 'ECOLI',\n",
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+      "                                                          {...},\n",
+      "                                                          {...}],\n",
+      "                                               'pubmed-id': {'#text': '24561554',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                               'source': {'#text': 'Nat '\n",
+      "                                                                   'Biotechnol '\n",
+      "                                                                   '32(3);285-90',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'The binary '\n",
+      "                                                                  'protein-protein '\n",
+      "                                                                  'interaction '\n",
+      "                                                                  'landscape '\n",
+      "                                                                  'of '\n",
+      "                                                                  'Escherichia '\n",
+      "                                                                  'coli.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2014',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'#text': 'UniProtKB\\\\:P30126',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0016829',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0016829'},\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': {'#text': 'UniProt-GOA',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotation '\n",
+      "                                                                  'based on '\n",
+      "                                                                  'UniProtKB/Swiss-Prot '\n",
+      "                                                                  'keyword '\n",
+      "                                                                  'mapping, '\n",
+      "                                                                  'accompanied '\n",
+      "                                                                  'by '\n",
+      "                                                                  'conservative '\n",
+      "                                                                  'changes to '\n",
+      "                                                                  'GO terms '\n",
+      "                                                                  'applied by '\n",
+      "                                                                  'UniProt.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
+      "                                                       '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2012',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'#text': 'SP_KW\\\\:KW-0456',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0009082'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                               'with': {'#text': 'SP_KW\\\\:KW-0100',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
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+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                               'with': {'#text': 'SP_KW\\\\:KW-0028',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0051536'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
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+      "                              '@resource': 'getxml?ECOLI:GO:0046872'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                               '@orgid': 'ECOLI',\n",
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+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0003861',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0003861'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'InterPro\\\\:IPR004430|InterPro\\\\:IPR033941',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                '@frameid': 'PUB-GO_REF-0000003',\n",
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+      "                                'with': {'#text': 'EC\\\\:4.2.1.33',\n",
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+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                '@frameid': 'PUB-GO_REF-0000116',\n",
+      "                                                '@orgid': 'ECOLI',\n",
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+      "                                                'title': {...},\n",
+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'RHEA\\\\:32287',\n",
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+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000104',\n",
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+      "                                                '@frameid': 'PUB-GO_REF-0000104',\n",
+      "                                                '@orgid': 'ECOLI',\n",
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+      "                                                'title': {...},\n",
+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'UniRule\\\\:UR000100515',\n",
+      "                                         '@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0009316',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0009316'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-AS-NAS',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-AS-NAS'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-4587614',\n",
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+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IGI-FUNC-COMPLEMENTATION',\n",
+      "                                                  '@class': 'true',\n",
+      "                                                  '@detail': 'full',\n",
+      "                                                  '@frameid': 'EV-EXP-IGI-FUNC-COMPLEMENTATION',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  'comment': {...},\n",
+      "                                                  'common-name': {...},\n",
+      "                                                  'parent': {...}},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-374346',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-374346',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-EXP-IGI-FUNC-COMPLEMENTATION',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-EXP-IGI-FUNC-COMPLEMENTATION'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-23636690',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-23636690',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0005829',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0005829'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IDA',\n",
+      "                                                  '@class': 'true',\n",
+      "                                                  '@detail': 'full',\n",
+      "                                                  '@frameid': 'EV-EXP-IDA',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  'comment': {...},\n",
+      "                                                  'common-name': {...},\n",
+      "                                                  'parent': {...}},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-15911532',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-15911532',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-EXP-IDA',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-EXP-IDA'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-18304323',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-18304323',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-19054114',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-19054114',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0051539',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0051539'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000002',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000002'},\n",
+      "                                'with': {'#text': 'InterPro\\\\:IPR004430',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                                'with': {'#text': 'SP_KW\\\\:KW-0004',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-IC',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-IC'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-17102132',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-17102132',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0009098',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0009098'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-AS-NAS',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-AS-NAS'},\n",
+      "                                'Publication': {'@frameid': 'PUB-4587614',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-4587614'},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000002',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000002'},\n",
+      "                                'with': {'#text': 'InterPro\\\\:IPR004430',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                                'with': {'#text': 'SP_KW\\\\:KW-0432',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000104',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000104'},\n",
+      "                                'with': {'#text': 'UniRule\\\\:UR000100515',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000041',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-GO_REF-0000041',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'UniPathway\\\\:UPA00048',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IMP',\n",
+      "                                                  '@class': 'true',\n",
+      "                                                  '@detail': 'full',\n",
+      "                                                  '@frameid': 'EV-EXP-IMP',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  'comment': {...},\n",
+      "                                                  'common-name': {...},\n",
+      "                                                  'parent': {...}},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-4570778',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-4570778',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]}],\n",
+      " 'location': {'cco': {'@frameid': 'CCI-CYTOSOL-GN',\n",
+      "                      '@orgid': 'ECOLI',\n",
+      "                      '@resource': 'getxml?ECOLI:CCI-CYTOSOL-GN'}},\n",
+      " 'molecular-weight-seq': {'#text': '49.882',\n",
+      "                          '@datatype': 'float',\n",
+      "                          '@units': 'kD'},\n",
+      " 'parent': {'Protein': {'@class': 'true',\n",
+      "                        '@frameid': 'Polypeptides',\n",
+      "                        '@orgid': 'ECOLI',\n",
+      "                        '@resource': 'getxml?ECOLI:Polypeptides'}},\n",
+      " 'synonym': [{'#text': 'LeuC', '@datatype': 'string'},\n",
+      "             {'#text': '3-isopropylmalate dehydratase, large subunit',\n",
+      "              '@datatype': 'string'}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "complex = 'LEUC-MONOMER'\n",
+    "\n",
+    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=high'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "pp.pprint(o)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:23:23.482562Z",
+     "start_time": "2023-06-22T23:23:22.940684Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'ptools-xml': {'@ptools-version': '27.0',\n",
+      "                '@xml:base': 'http://BioCyc.org/apixml?fn=monomers-of-protein%26id=ECOLI:LEUC-MONOMER%26detail=LOW',\n",
+      "                'Protein': {'@ID': 'ECOLI:LEUC-MONOMER',\n",
+      "                            '@detail': 'low',\n",
+      "                            '@frameid': 'LEUC-MONOMER',\n",
+      "                            '@orgid': 'ECOLI',\n",
+      "                            'common-name': {'#text': '3-isopropylmalate '\n",
+      "                                                     'dehydratase subunit LeuC',\n",
+      "                                            '@datatype': 'string'},\n",
+      "                            'component-of': {'Protein': {'@frameid': '3-ISOPROPYLMALISOM-CPLX',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': 'getxml?ECOLI:3-ISOPROPYLMALISOM-CPLX'}},\n",
+      "                            'gene': {'Gene': {'@frameid': 'EG11576',\n",
+      "                                              '@orgid': 'ECOLI',\n",
+      "                                              '@resource': 'getxml?ECOLI:EG11576'}},\n",
+      "                            'parent': {'Protein': {'@class': 'true',\n",
+      "                                                   '@frameid': 'Polypeptides',\n",
+      "                                                   '@orgid': 'ECOLI',\n",
+      "                                                   '@resource': 'getxml?ECOLI:Polypeptides'}},\n",
+      "                            'synonym': [{'#text': 'LeuC',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                                        {'#text': '3-isopropylmalate '\n",
+      "                                                  'dehydratase, large subunit',\n",
+      "                                         '@datatype': 'string'}]},\n",
+      "                'metadata': {'PGDB': {'@orgid': 'ECOLI',\n",
+      "                                      '@version': '27.0',\n",
+      "                                      'species': {'#text': 'Escherichia coli',\n",
+      "                                                  '@datatype': 'string'},\n",
+      "                                      'strain': {'#text': 'K-12 substr. MG1655',\n",
+      "                                                 '@datatype': 'string'}},\n",
+      "                             'num_results': '1',\n",
+      "                             'query': 'fn=monomers-of-protein&id=ECOLI:LEUC-MONOMER&detail=LOW',\n",
+      "                             'service_name': 'apixml',\n",
+      "                             'url': 'http://BioCyc.org/'}}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "req_str = 'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:LEUC-MONOMER&detail=low'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)\n",
+    "pp.pprint(o)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:23:36.442761Z",
+     "start_time": "2023-06-22T23:23:36.387445Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

From c4164343e9c3e0868f231845324b495cdcbe3202 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:47:07 -0700
Subject: [PATCH 09/58] Small changes.

---
 notebooks/fbagd/metal_binding.ipynb         | 1145 +------------------
 notebooks/fbagd/metal_binding_new.ipynb     |  589 ++++++++++
 notebooks/fbagd/metal_binding_uniprot.ipynb | 1060 ++++++++++++++++-
 notebooks/fbagd/test_environments_new.ipynb |  132 +--
 4 files changed, 1713 insertions(+), 1213 deletions(-)
 create mode 100644 notebooks/fbagd/metal_binding_new.ipynb

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 5fc907dfe..486c61c3e 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 113,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:34.828405Z",
-     "start_time": "2023-06-21T17:26:34.820533Z"
+     "end_time": "2023-06-24T00:11:31.734198Z",
+     "start_time": "2023-06-24T00:11:31.728052Z"
     }
    },
    "outputs": [],
@@ -20,19 +20,19 @@
     "import pprint\n",
     "import ast\n",
     "import re\n",
-    "pp = pprint.PrettyPrinter(depth=6)\n",
-    "\n",
-    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
-    "\n",
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
     "import requests\n",
-    "import xmltodict"
+    "import xmltodict\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 114,
    "outputs": [],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
@@ -50,21 +50,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:35.003794Z",
-     "start_time": "2023-06-21T17:26:34.947321Z"
+     "end_time": "2023-06-24T00:11:36.003825Z",
+     "start_time": "2023-06-24T00:11:35.970943Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 115,
    "outputs": [
     {
      "data": {
       "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal_binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 24,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -77,8 +77,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:35.258113Z",
-     "start_time": "2023-06-21T17:26:35.234284Z"
+     "end_time": "2023-06-24T00:11:36.157834Z",
+     "start_time": "2023-06-24T00:11:36.151859Z"
     }
    }
   },
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 116,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 25,
+     "execution_count": 116,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,1109 +112,53 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:35.823687Z",
-     "start_time": "2023-06-21T17:26:35.545396Z"
+     "end_time": "2023-06-24T00:11:37.445849Z",
+     "start_time": "2023-06-24T00:11:37.195264Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 124,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'@ID': 'ECOLI:EG12132-MONOMER',\n",
-      " '@detail': 'full',\n",
-      " '@frameid': 'EG12132-MONOMER',\n",
-      " '@orgid': 'ECOLI',\n",
-      " 'common-name': {'#text': 'iron-sulfur cluster insertion protein IscA',\n",
-      "                 '@datatype': 'string'},\n",
-      " 'component-of': {'Protein': {'@frameid': 'CPLX0-7908',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:CPLX0-7908'}},\n",
-      " 'dblink': [{'dblink-URL': 'https://alphafold.ebi.ac.uk/entry/P0AAC8',\n",
-      "             'dblink-db': 'ALPHAFOLD',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR035903',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR035903',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'https://www.ebi.ac.uk/interpro/entry/pfam/PF01521',\n",
-      "             'dblink-db': 'PFAM',\n",
-      "             'dblink-oid': 'PF01521',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'https://swissmodel.expasy.org/repository/uniprot/P0AAC8',\n",
-      "             'dblink-db': 'SMR',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://dip.doe-mbi.ucla.edu/dip/Browse.cgi?ID=DIP-35854N',\n",
-      "             'dblink-db': 'DIP',\n",
-      "             'dblink-oid': 'DIP-35854N',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR011302',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR011302',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR017870',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR017870',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR016092',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR016092',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR000361',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR000361',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://prosite.expasy.org/cgi-bin/prosite/nicedoc.pl?PS01152',\n",
-      "             'dblink-db': 'PROSITE',\n",
-      "             'dblink-oid': 'PS01152',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/pride/searchSummary.do?queryTypeSelected=identification%20accession%20number&identificationAccessionNumber=P0AAC8',\n",
-      "             'dblink-db': 'PRIDE',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R94',\n",
-      "             'dblink-db': 'PDB',\n",
-      "             'dblink-oid': '1R94',\n",
-      "             'dblink-relationship': 'Structure'},\n",
-      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R95',\n",
-      "             'dblink-db': 'PDB',\n",
-      "             'dblink-oid': '1R95',\n",
-      "             'dblink-relationship': 'Structure'},\n",
-      "            {'dblink-URL': 'http://www.rcsb.org/structure/1S98',\n",
-      "             'dblink-db': 'PDB',\n",
-      "             'dblink-oid': '1S98',\n",
-      "             'dblink-relationship': 'Structure'},\n",
-      "            {'dblink-URL': 'http://pir.georgetown.edu/cgi-bin/pro/entry_pro?id=PRO_000023031',\n",
-      "             'dblink-db': 'PRODB',\n",
-      "             'dblink-oid': 'PRO_000023031',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://ecoliwiki.org/colipedia/index.php/b2528',\n",
-      "             'dblink-db': 'ECOLIWIKI',\n",
-      "             'dblink-oid': 'b2528',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://modbase.compbio.ucsf.edu/modbase-cgi/model_search.cgi?searchkw=name&kword=P0AAC8',\n",
-      "             'dblink-db': 'MODBASE',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'https://www.uniprot.org/uniprot/P0AAC8',\n",
-      "             'dblink-db': 'UNIPROT',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?val=NP_417023',\n",
-      "             'dblink-db': 'REFSEQ',\n",
-      "             'dblink-oid': 'NP_417023',\n",
-      "             'dblink-relationship': 'unification'}],\n",
-      " 'gene': {'Gene': {'@frameid': 'EG12132',\n",
-      "                   '@orgid': 'ECOLI',\n",
-      "                   '@resource': 'getxml?ECOLI:EG12132'}},\n",
-      " 'has-feature': [{'Feature': {'@ID': 'ECOLI:FTR0-1606180',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1606180',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'accession-1': {'#text': 'PF01521.23',\n",
-      "                                              '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
-      "                                                             '@class': 'true',\n",
-      "                                                             '@detail': 'full',\n",
-      "                                                             '@frameid': 'EV-COMP-AINF',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             'comment': {...},\n",
-      "                                                             'common-name': {'#text': 'Inferred '\n",
-      "                                                                                      'computationally '\n",
-      "                                                                                      'without '\n",
-      "                                                                                      'human '\n",
-      "                                                                                      'oversight',\n",
-      "                                                                             '@datatype': 'string'},\n",
-      "                                                             'parent': {...}},\n",
-      "                                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
-      "                                                           '@detail': 'full',\n",
-      "                                                           '@frameid': 'PUB-26673716',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           'author': [...],\n",
-      "                                                           'pubmed-id': {...},\n",
-      "                                                           'source': {...},\n",
-      "                                                           'title': {...},\n",
-      "                                                           'year': {...}}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '1',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Pfam-Features',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
-      "                              'right-end-position': {'#text': '103',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586499',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586499',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'alternate-sequence': {'#text': 'S',\n",
-      "                                                     '@datatype': 'string'},\n",
-      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
-      "                                                   'binding activity..',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP',\n",
-      "                                                             '@class': 'true',\n",
-      "                                                             '@detail': 'full',\n",
-      "                                                             '@frameid': 'EV-EXP',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             'comment': {...},\n",
-      "                                                             'common-name': {'#text': 'Inferred '\n",
-      "                                                                                      'from '\n",
-      "                                                                                      'experiment',\n",
-      "                                                                             '@datatype': 'string'}},\n",
-      "                                           'Publication': {'@ID': 'ECOLI:PUB-15247288',\n",
-      "                                                           '@detail': 'full',\n",
-      "                                                           '@frameid': 'PUB-15247288',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           'author': [...],\n",
-      "                                                           'pubmed-id': {...},\n",
-      "                                                           'source': {...},\n",
-      "                                                           'title': {...},\n",
-      "                                                           'year': {...}}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '101',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
-      "                              'right-end-position': {'#text': '101',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586498',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586498',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'alternate-sequence': {'#text': 'S',\n",
-      "                                                     '@datatype': 'string'},\n",
-      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
-      "                                                   'binding activity..',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                             '@frameid': 'EV-EXP',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
-      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '99',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
-      "                              'right-end-position': {'#text': '99',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586497',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586497',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'alternate-sequence': {'#text': 'S',\n",
-      "                                                     '@datatype': 'string'},\n",
-      "                              'comment': {'#text': 'UniProt: Decrease of iron '\n",
-      "                                                   'binding activity..',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                             '@frameid': 'EV-EXP',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
-      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '35',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
-      "                              'right-end-position': {'#text': '35',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586496',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586496',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'comment': {'#text': 'UniProt: Iron.',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-IC',\n",
-      "                                                             '@class': 'true',\n",
-      "                                                             '@detail': 'full',\n",
-      "                                                             '@frameid': 'EV-IC',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             'comment': {...},\n",
-      "                                                             'common-name': {'#text': 'Inferred '\n",
-      "                                                                                      'by '\n",
-      "                                                                                      'curator',\n",
-      "                                                                             '@datatype': 'string'}},\n",
-      "                                           'Publication': {'@ID': 'ECOLI:PUB-UNIPROT-2021-03',\n",
-      "                                                           '@detail': 'full',\n",
-      "                                                           '@frameid': 'PUB-UNIPROT-2021-03',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           'author': {...},\n",
-      "                                                           'source': {...},\n",
-      "                                                           'title': {...},\n",
-      "                                                           'year': {...}}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Metal-Binding-Sites',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Metal-Binding-Sites'}},\n",
-      "                              'residue-number': {'#text': '101',\n",
-      "                                                 '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586495',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586495',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'comment': {'#text': 'UniProt: Iron.',\n",
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-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                             '@frameid': 'EV-IC',\n",
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-      "                                                           '@orgid': 'ECOLI',\n",
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-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
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-      "                              'residue-number': {'#text': '99',\n",
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-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586494',\n",
-      "                              '@detail': 'full',\n",
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-      "                              '@orgid': 'ECOLI',\n",
-      "                              'comment': {'#text': 'UniProt: Iron.',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
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-      "                                                             '@resource': '#ECOLI:EV-IC'},\n",
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-      "                                                           '@orgid': 'ECOLI',\n",
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-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
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-      "                              'residue-number': {'#text': '35',\n",
-      "                                                 '@datatype': 'integer'}}}],\n",
-      " 'has-go-term': [{'GO-Term': {'@class': 'true',\n",
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-      "                  'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IPI',\n",
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-      "                                                                      'interaction\\n'\n",
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-      "                                                                      '<br>\\n'\n",
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-      "                                                                      'inferred '\n",
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-      "                                                                      'physical '\n",
-      "                                                                      'interaction '\n",
-      "                                                                      'such '\n",
-      "                                                                      'as\\n'\n",
-      "                                                                      '<ul>\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      '2-hybrid '\n",
-      "                                                                      'interactions\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      'Co-purification\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      'Co-immunoprecipitation\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      'Ion/protein '\n",
-      "                                                                      'binding '\n",
-      "                                                                      'experiments\\n'\n",
-      "                                                                      '</ul><p '\n",
-      "                                                                      'class=ecocomment>\\n'\n",
-      "                                                                      'This '\n",
-      "                                                                      'code '\n",
-      "                                                                      'covers '\n",
-      "                                                                      'physical '\n",
-      "                                                                      'interactions '\n",
-      "                                                                      'between '\n",
-      "                                                                      'the '\n",
-      "                                                                      'gene '\n",
-      "                                                                      'product '\n",
-      "                                                                      'of\\n'\n",
-      "                                                                      'interest '\n",
-      "                                                                      'and '\n",
-      "                                                                      'another '\n",
-      "                                                                      'molecule '\n",
-      "                                                                      '(or '\n",
-      "                                                                      'ion, or '\n",
-      "                                                                      'complex). '\n",
-      "                                                                      'For '\n",
-      "                                                                      'functions '\n",
-      "                                                                      'such\\n'\n",
-      "                                                                      'as '\n",
-      "                                                                      'protein '\n",
-      "                                                                      'binding '\n",
-      "                                                                      'or '\n",
-      "                                                                      'nucleic '\n",
-      "                                                                      'acid '\n",
-      "                                                                      'binding, '\n",
-      "                                                                      'a '\n",
-      "                                                                      'binding '\n",
-      "                                                                      'assay '\n",
-      "                                                                      'is\\n'\n",
-      "                                                                      'simultaneously '\n",
-      "                                                                      'IPI and '\n",
-      "                                                                      'IDA; '\n",
-      "                                                                      'IDA is '\n",
-      "                                                                      'preferred '\n",
-      "                                                                      'because '\n",
-      "                                                                      'the '\n",
-      "                                                                      'assay\\n'\n",
-      "                                                                      'directly '\n",
-      "                                                                      'detects '\n",
-      "                                                                      'the '\n",
-      "                                                                      'binding. '\n",
-      "                                                                      'For '\n",
-      "                                                                      'both '\n",
-      "                                                                      'IPI and '\n",
-      "                                                                      'IGI, it '\n",
-      "                                                                      'would '\n",
-      "                                                                      'be '\n",
-      "                                                                      'good\\n'\n",
-      "                                                                      'practice '\n",
-      "                                                                      'to '\n",
-      "                                                                      'qualify '\n",
-      "                                                                      'them '\n",
-      "                                                                      'with '\n",
-      "                                                                      'the '\n",
-      "                                                                      'gene/protein/ion.',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                                 'common-name': {'#text': 'Inferred '\n",
-      "                                                                          'from '\n",
-      "                                                                          'physical '\n",
-      "                                                                          'interaction',\n",
-      "                                                                 '@datatype': 'string'},\n",
-      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                                              '@frameid': 'EV-EXP',\n",
-      "                                                                              '@orgid': 'ECOLI',\n",
-      "                                                                              '@resource': '#ECOLI:EV-EXP'}}},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-15050828',\n",
-      "                                               '@detail': 'full',\n",
-      "                                               '@frameid': 'PUB-15050828',\n",
-      "                                               '@orgid': 'ECOLI',\n",
-      "                                               'author': [{...},\n",
-      "                                                          {...},\n",
-      "                                                          {...},\n",
-      "                                                          {...}],\n",
-      "                                               'pubmed-id': {'#text': '15050828',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                               'source': {'#text': 'J Mol Biol '\n",
-      "                                                                   '338(1);127-37',\n",
-      "                                                          '@datatype': 'string'},\n",
-      "                                               'title': {'#text': 'Crystal '\n",
-      "                                                                  'structure '\n",
-      "                                                                  'of IscA, an '\n",
-      "                                                                  'iron-sulfur '\n",
-      "                                                                  'cluster '\n",
-      "                                                                  'assembly '\n",
-      "                                                                  'protein '\n",
-      "                                                                  'from '\n",
-      "                                                                  'Escherichia '\n",
-      "                                                                  'coli.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2004',\n",
-      "                                                        '@datatype': 'integer'}},\n",
-      "                               'with': {'@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
-      "                              '@frameid': 'GO:0005737',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0005737'},\n",
-      "                  'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-IBA',\n",
-      "                                                 '@class': 'true',\n",
-      "                                                 '@detail': 'full',\n",
-      "                                                 '@frameid': 'EV-COMP-IBA',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 'comment': {'#text': 'A type '\n",
-      "                                                                      'of '\n",
-      "                                                                      'phylogenetic '\n",
-      "                                                                      'evidence '\n",
-      "                                                                      'whereby '\n",
-      "                                                                      'an '\n",
-      "                                                                      'aspect '\n",
-      "                                                                      'of a '\n",
-      "                                                                      'descendent '\n",
-      "                                                                      'is '\n",
-      "                                                                      'inferred '\n",
-      "                                                                      'through '\n",
-      "                                                                      'the '\n",
-      "                                                                      'characterization '\n",
-      "                                                                      'of an '\n",
-      "                                                                      'aspect '\n",
-      "                                                                      'of a '\n",
-      "                                                                      'ancestral '\n",
-      "                                                                      'gene.',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                                 'common-name': {'#text': 'Inferred '\n",
-      "                                                                          'from '\n",
-      "                                                                          'Biological '\n",
-      "                                                                          'aspect '\n",
-      "                                                                          'from '\n",
-      "                                                                          'Ancestor',\n",
-      "                                                                 '@datatype': 'string'},\n",
-      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                                              '@frameid': 'EV-COMP',\n",
-      "                                                                              '@orgid': 'ECOLI',\n",
-      "                                                                              '@resource': 'getxml?ECOLI:EV-COMP'}}},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-21873635',\n",
-      "                                               '@detail': 'full',\n",
-      "                                               '@frameid': 'PUB-21873635',\n",
-      "                                               '@orgid': 'ECOLI',\n",
-      "                                               'author': [{...},\n",
-      "                                                          {...},\n",
-      "                                                          {...},\n",
-      "                                                          {...}],\n",
-      "                                               'pubmed-id': {'#text': '21873635',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                               'source': {'#text': 'Brief '\n",
-      "                                                                   'Bioinform '\n",
-      "                                                                   '12(5);449-62',\n",
-      "                                                          '@datatype': 'string'},\n",
-      "                                               'title': {'#text': 'Phylogenetic-based '\n",
-      "                                                                  'propagation '\n",
-      "                                                                  'of '\n",
-      "                                                                  'functional '\n",
-      "                                                                  'annotations '\n",
-      "                                                                  'within the '\n",
-      "                                                                  'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'consortium.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2011',\n",
-      "                                                        '@datatype': 'integer'}},\n",
-      "                               'with': {'#text': 'PANTHER\\\\:PTN001601055|PomBase\\\\:SPCC645.03c|SGD\\\\:S000003950|UniProtKB\\\\:O97297|UniProtKB\\\\:P0AAC8|UniProtKB\\\\:Q57X28',\n",
-      "                                        '@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
-      "                              '@frameid': 'GO:0097428',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0097428'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                 '@frameid': 'EV-COMP-IBA',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-IBA'},\n",
-      "                               'Publication': {'@frameid': 'PUB-21873635',\n",
-      "                                               '@orgid': 'ECOLI',\n",
-      "                                               '@resource': '#ECOLI:PUB-21873635'},\n",
-      "                               'with': {'#text': 'PANTHER\\\\:PTN001601055|PomBase\\\\:SPCC645.03c|SGD\\\\:S000003950',\n",
-      "                                        '@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
-      "                              '@frameid': 'GO:0051536',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0051536'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                 '@frameid': 'EV-COMP-AINF',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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-      "                                               '@orgid': 'ECOLI',\n",
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-      "                                                          {...},\n",
-      "                                                          {...},\n",
-      "                                                          {...}],\n",
-      "                                               'title': {'#text': 'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'annotation '\n",
-      "                                                                  'through '\n",
-      "                                                                  'association '\n",
-      "                                                                  'of InterPro '\n",
-      "                                                                  'records '\n",
-      "                                                                  'with GO '\n",
-      "                                                                  'terms.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
-      "                                                       '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2001',\n",
-      "                                                        '@datatype': 'integer'}},\n",
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-      "                                        '@datatype': 'string'}}},\n",
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-      "                              '@frameid': 'GO:0046872',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0046872'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                 '@frameid': 'EV-COMP-AINF',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000043',\n",
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-      "                                               '@frameid': 'PUB-GO_REF-0000043',\n",
-      "                                               '@orgid': 'ECOLI',\n",
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-      "                                               'title': {'#text': 'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'annotation '\n",
-      "                                                                  'based on '\n",
-      "                                                                  'UniProtKB/Swiss-Prot '\n",
-      "                                                                  'keyword '\n",
-      "                                                                  'mapping, '\n",
-      "                                                                  'accompanied '\n",
-      "                                                                  'by '\n",
-      "                                                                  'conservative '\n",
-      "                                                                  'changes to '\n",
-      "                                                                  'GO terms '\n",
-      "                                                                  'applied by '\n",
-      "                                                                  'UniProt.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
-      "                                                       '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2012',\n",
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-      "                                        '@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
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-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0005506'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
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-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000104',\n",
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-      "                                               '@orgid': 'ECOLI',\n",
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-      "                                                                   'curators',\n",
-      "                                                          '@datatype': 'string'},\n",
-      "                                               'title': {'#text': 'Electronic '\n",
-      "                                                                  'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'annotations '\n",
-      "                                                                  'created by '\n",
-      "                                                                  'transferring '\n",
-      "                                                                  'manual GO '\n",
-      "                                                                  'annotations '\n",
-      "                                                                  'between '\n",
-      "                                                                  'related '\n",
-      "                                                                  'proteins '\n",
-      "                                                                  'based on '\n",
-      "                                                                  'shared '\n",
-      "                                                                  'sequence '\n",
-      "                                                                  'features.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
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-      "                                               'year': {'#text': '2015',\n",
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-      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
-      "                                                  '@frameid': 'EV-COMP-AINF',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
-      "                                'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000117',\n",
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-      "                                                '@orgid': 'ECOLI',\n",
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-      "                                                'year': {...}},\n",
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-      "                                         '@datatype': 'string'}},\n",
-      "                               {'Evidence-Code': {'@class': 'true',\n",
-      "                                                  '@frameid': 'EV-COMP-IBA',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-COMP-IBA'},\n",
-      "                                'Publication': {'@frameid': 'PUB-21873635',\n",
-      "                                                '@orgid': 'ECOLI',\n",
-      "                                                '@resource': '#ECOLI:PUB-21873635'},\n",
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-      "                                                  '@class': 'true',\n",
-      "                                                  '@detail': 'full',\n",
-      "                                                  '@frameid': 'EV-EXP-IDA',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  'comment': {...},\n",
-      "                                                  'common-name': {...},\n",
-      "                                                  'parent': {...}},\n",
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-      "                 {'GO-Term': {'@class': 'true',\n",
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-      "                              '@orgid': 'ECOLI',\n",
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-      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
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-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-COMP-IBA'},\n",
-      "                                'Publication': {'@frameid': 'PUB-21873635',\n",
-      "                                                '@orgid': 'ECOLI',\n",
-      "                                                '@resource': '#ECOLI:PUB-21873635'},\n",
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-      "                                         '@datatype': 'string'}},\n",
-      "                               {'Evidence-Code': {'@class': 'true',\n",
-      "                                                  '@frameid': 'EV-EXP-IDA',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-EXP-IDA'},\n",
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-      " 'molecular-weight-seq': {'#text': '11.556',\n",
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-      "                                                                     '@datatype': 'string'},\n",
-      "                                                       'source': {'#text': 'Front '\n",
-      "                                                                           'Microbiol '\n",
-      "                                                                           '12;711077',\n",
-      "                                                                  '@datatype': 'string'},\n",
-      "                                                       'title': {'#text': 'The '\n",
-      "                                                                          'EcoCyc '\n",
-      "                                                                          'Database '\n",
-      "                                                                          'in '\n",
-      "                                                                          '2021.',\n",
-      "                                                                 '@datatype': 'string'},\n",
-      "                                                       'year': {'#text': '2021',\n",
-      "                                                                '@datatype': 'integer'}}},\n",
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-      "                                               'database for <i>Escherichia '\n",
-      "                                               'coli</i> K-12 MG1655. For more '\n",
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-      "                                               'EcoCyc.org.\\n'\n",
-      "                                               '<p>\\n'\n",
-      "                                               'The <i>E. coli</i> genome '\n",
-      "                                               'sequence used in EcoCyc has '\n",
-      "                                               'been updated from version 2 to '\n",
-      "                                               'version 3, GenBank accession '\n",
-      "                                               'number U00096.3, for release '\n",
-      "                                               '20.0 of EcoCyc. Despite the '\n",
-      "                                               'involvement of EcoCyc staff in '\n",
-      "                                               'ongoing updates to the U00096 '\n",
-      "                                               'record, some annotation '\n",
-      "                                               'differences may be found '\n",
-      "                                               'between U00096 and EcoCyc, '\n",
-      "                                               'such as due to recent updates '\n",
-      "                                               'to EcoCyc.',\n",
-      "                                      '@datatype': 'string'},\n",
-      "                          'common-name': {'#text': 'Escherichia coli',\n",
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-      "                                      'dblink-oid': '511145',\n",
-      "                                      'dblink-relationship': 'unification'},\n",
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-      "                                      'dblink-oid': 'Gp0072557',\n",
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-      "                          'genome': {'Genetic-Element': {'@frameid': 'COLI-K12',\n",
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-      "                                                      'affiliations': {...},\n",
-      "                                                      'common-name': {...}}},\n",
-      "                                          {'Person': {'@ID': 'ECOLI:tierrafria',\n",
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-      "                                                      '@frameid': 'tierrafria',\n",
-      "                                                      '@orgid': 'ECOLI',\n",
-      "                                                      'affiliations': {...},\n",
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-      "                                          {'Person': {'@ID': 'ECOLI:figueroa',\n",
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-      "                                                      '@orgid': 'ECOLI',\n",
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-      "                                                      'email': {...},\n",
-      "                                                      'middle-name': {...}}}],\n",
-      "                          'pgdb-copyright': {'#text': 'Copyright SRI '\n",
-      "                                                      'International '\n",
-      "                                                      '1999-2023, Marine '\n",
-      "                                                      'Biological Laboratory '\n",
-      "                                                      '1998-2001, DoubleTwist '\n",
-      "                                                      'Inc 1998-1999.  All '\n",
-      "                                                      'Rights Reserved.',\n",
-      "                                             '@datatype': 'string'},\n",
-      "                          'pgdb-footer-citation': {'#text': '<a '\n",
-      "                                                            'href=\"https://www.frontiersin.org/articles/10.3389/fmicb.2021.711077/full\">Frontiers '\n",
-      "                                                            'in Microbiology '\n",
-      "                                                            '2021</a>',\n",
-      "                                                   '@datatype': 'string'},\n",
-      "                          'pgdb-name': {'#text': 'EcoCyc',\n",
-      "                                        '@datatype': 'string'},\n",
-      "                          'pgdb-tier': {'#text': '1', '@datatype': 'integer'},\n",
-      "                          'rank': 'strain',\n",
-      "                          'strain-name': {'#text': 'K-12 substr. MG1655',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                          'synonym': {'#text': 'Escherichia coli K-12 substr. '\n",
-      "                                               'MG1655',\n",
-      "                                      '@datatype': 'string'}}},\n",
-      " 'synonym': [{'#text': 'IscA', '@datatype': 'string'},\n",
-      "             {'#text': 'YfhF', '@datatype': 'string'},\n",
-      "             {'#text': 'iron-sulfur cluster assembly protein',\n",
-      "              '@datatype': 'string'}]}\n"
+      "{'@ptools-version': '27.0',\n",
+      " '@xml:base': 'http://BioCyc.org/apixml?fn=monomers-of-protein%26id=ECOLI:CPLX0-8167%26detail=NONE',\n",
+      " 'Protein': [{'@frameid': 'HYAC-MONOMER',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              '@resource': 'getxml?ECOLI:HYAC-MONOMER'},\n",
+      "             {'@frameid': 'HYAB-MONOMER',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              '@resource': 'getxml?ECOLI:HYAB-MONOMER'},\n",
+      "             {'@frameid': 'HYAA-MONOMER',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              '@resource': 'getxml?ECOLI:HYAA-MONOMER'}],\n",
+      " 'metadata': {'num_results': '3',\n",
+      "              'query': 'fn=monomers-of-protein&id=ECOLI:CPLX0-8167&detail=NONE',\n",
+      "              'service_name': 'apixml',\n",
+      "              'url': 'http://BioCyc.org/'}}\n"
      ]
     }
    ],
    "source": [
-    "complex = 'EG12132-MONOMER'\n",
+    "protein = 'CPLX0-8167'\n",
     "\n",
-    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=high'\n",
+    "# req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "req_str = f'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{protein}&detail=none'\n",
     "\n",
     "r = s.get(req_str)\n",
     "\n",
-    "o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']\n",
     "pp.pprint(o)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:36.490323Z",
-     "start_time": "2023-06-21T17:26:36.159052Z"
+     "end_time": "2023-06-24T00:15:02.784067Z",
+     "start_time": "2023-06-24T00:15:02.741949Z"
     }
    }
   },
@@ -1247,6 +191,7 @@
     "\n",
     "    o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
     "\n",
+    "    # don't allow non-top-level complexes that dont have enzymatic reactions.\n",
     "    if 'component-of' in o and 'catalyzes' not in o:\n",
     "        continue\n",
     "\n",
@@ -1292,6 +237,7 @@
     "        if type(o) is dict:\n",
     "            o = [o]\n",
     "\n",
+    "        cofactor_set = set()\n",
     "        for enzrxn in o:\n",
     "            enz_id = enzrxn['@frameid']\n",
     "\n",
@@ -1308,12 +254,11 @@
     "                if type(oe) is dict:\n",
     "                    oe = [oe]\n",
     "\n",
-    "                cofactor_list = []\n",
     "                for cofactor in oe:\n",
     "                    cof = cofactor['Compound']['@frameid']\n",
-    "                    cofactor_list.append(cof)\n",
+    "                    cofactor_set.add(cof)\n",
     "\n",
-    "                pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
+    "        pre_complex_df.at[i, 'cofactors'] = cofactor_set\n",
     "\n"
    ],
    "metadata": {
diff --git a/notebooks/fbagd/metal_binding_new.ipynb b/notebooks/fbagd/metal_binding_new.ipynb
new file mode 100644
index 000000000..680c93486
--- /dev/null
+++ b/notebooks/fbagd/metal_binding_new.ipynb
@@ -0,0 +1,589 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:41.168972Z",
+     "start_time": "2023-06-26T19:05:40.887373Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import pprint\n",
+    "import ast\n",
+    "import re\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name metal_features  \\\n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...              0   \n1                                 1-phosphofructokinase              0   \n2                         2-dehydropantoate 2-reductase              0   \n3                            2-isopropylmalate synthase              0   \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...              0   \n...                                                 ...            ...   \n4415  galactofuranose ABC transporter putative ATP b...              0   \n4416  galactofuranose ABC transporter putative membr...              0   \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...              0   \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit              0   \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...              0   \n\n     other_features  \n0                 0  \n1                 0  \n2                 0  \n3                 0  \n4                 0  \n...             ...  \n4415              0  \n4416              0  \n4417              0  \n4418              0  \n4419              0  \n\n[4420 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>metal_features</th>\n      <th>other_features</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# get a set of all monomers with an associated uniprot id\n",
+    "proteins_df = pd.read_csv('reconstruction/ecoli/flat/proteins.tsv', sep='\\t').loc[:, [\"id\", \"common_name\"]]\n",
+    "\n",
+    "proteins_df[\"metal_features\"] = 0\n",
+    "proteins_df[\"metal_features\"] = proteins_df[\"metal_features\"].astype(object)\n",
+    "\n",
+    "proteins_df[\"other_features\"] = 0\n",
+    "proteins_df[\"other_features\"] = proteins_df[\"other_features\"].astype(object)\n",
+    "\n",
+    "proteins_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:41.211718Z",
+     "start_time": "2023-06-26T19:05:41.171666Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'Feature': {'@ID': 'ECOLI:FTR0-1606133',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1606133',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'accession-1': {'#text': 'PF01266.27', '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
+      "                                             '@class': 'true',\n",
+      "                                             '@detail': 'full',\n",
+      "                                             '@frameid': 'EV-COMP-AINF',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             'comment': {'#text': 'Automated '\n",
+      "                                                                  'inference.  '\n",
+      "                                                                  'A computer '\n",
+      "                                                                  'inferred '\n",
+      "                                                                  'this '\n",
+      "                                                                  'assertion '\n",
+      "                                                                  'through one '\n",
+      "                                                                  'of many '\n",
+      "                                                                  'possible '\n",
+      "                                                                  'methods '\n",
+      "                                                                  'such as \\n'\n",
+      "                                                                  'sequence '\n",
+      "                                                                  'similarity, '\n",
+      "                                                                  'recognized '\n",
+      "                                                                  'motifs or '\n",
+      "                                                                  'consensus '\n",
+      "                                                                  'sequence, '\n",
+      "                                                                  'etc.  When '\n",
+      "                                                                  'a person '\n",
+      "                                                                  'made the '\n",
+      "                                                                  'inference \\n'\n",
+      "                                                                  'from '\n",
+      "                                                                  'computational '\n",
+      "                                                                  'evidence, '\n",
+      "                                                                  'use '\n",
+      "                                                                  'EV-COMP-HINF.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                      'computationally '\n",
+      "                                                                      'without '\n",
+      "                                                                      'human '\n",
+      "                                                                      'oversight',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                             'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                          '@frameid': 'EV-COMP',\n",
+      "                                                                          '@orgid': 'ECOLI',\n",
+      "                                                                          '@resource': 'getxml?ECOLI:EV-COMP'}}},\n",
+      "                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
+      "                                           '@detail': 'full',\n",
+      "                                           '@frameid': 'PUB-26673716',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           'author': [{...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...}],\n",
+      "                                           'pubmed-id': {'#text': '26673716',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                           'source': {'#text': 'Nucleic Acids '\n",
+      "                                                               'Res '\n",
+      "                                                               '44(D1);D279-85',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'title': {'#text': 'The Pfam '\n",
+      "                                                              'protein '\n",
+      "                                                              'families '\n",
+      "                                                              'database: '\n",
+      "                                                              'towards a more '\n",
+      "                                                              'sustainable '\n",
+      "                                                              'future.',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                                           'year': {'#text': '2016',\n",
+      "                                                    '@datatype': 'integer'}}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'left-end-position': {'#text': '2', '@datatype': 'integer'},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'Pfam-Features',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
+      "              'right-end-position': {'#text': '397', '@datatype': 'integer'}}},\n",
+      " {'Feature': {'@ID': 'ECOLI:FTR0-1586643',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1586643',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'attached-group': {'Compound': {'@frameid': 'FAD',\n",
+      "                                              '@orgid': 'ECOLI',\n",
+      "                                              '@resource': 'getxml?ECOLI:FAD'}},\n",
+      "              'comment': {'#text': 'UniProt: FAD.', '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-HINF-ISM',\n",
+      "                                             '@class': 'true',\n",
+      "                                             '@detail': 'full',\n",
+      "                                             '@frameid': 'EV-COMP-HINF-ISM',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             'comment': {'#text': 'Human '\n",
+      "                                                                  'inference '\n",
+      "                                                                  'based on '\n",
+      "                                                                  'evidence '\n",
+      "                                                                  'from some '\n",
+      "                                                                  'kind of '\n",
+      "                                                                  'statistical '\n",
+      "                                                                  'model of a '\n",
+      "                                                                  'sequence\\n'\n",
+      "                                                                  'or group of '\n",
+      "                                                                  'sequences, '\n",
+      "                                                                  'which is '\n",
+      "                                                                  'used to '\n",
+      "                                                                  'make a '\n",
+      "                                                                  'prediction '\n",
+      "                                                                  'about the '\n",
+      "                                                                  'function of '\n",
+      "                                                                  'a protein '\n",
+      "                                                                  'or RNA.\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- '\n",
+      "                                                                  'Prediction '\n",
+      "                                                                  'methods for '\n",
+      "                                                                  'non-coding '\n",
+      "                                                                  'RNA genes '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'tRNASCAN-SE, '\n",
+      "                                                                  'Snoscan, '\n",
+      "                                                                  'and Rfam\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- Predicted '\n",
+      "                                                                  'presence of '\n",
+      "                                                                  'recognized '\n",
+      "                                                                  'functional '\n",
+      "                                                                  'domains or '\n",
+      "                                                                  'membership '\n",
+      "                                                                  'in protein '\n",
+      "                                                                  'families,\\n'\n",
+      "                                                                  '  as '\n",
+      "                                                                  'determined '\n",
+      "                                                                  'by tools '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'profile '\n",
+      "                                                                  'Hidden '\n",
+      "                                                                  'Markov '\n",
+      "                                                                  'Models '\n",
+      "                                                                  '(HMMs), '\n",
+      "                                                                  'including '\n",
+      "                                                                  'Pfam and '\n",
+      "                                                                  'TIGRFAM\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- Predicted '\n",
+      "                                                                  'protein '\n",
+      "                                                                  'features '\n",
+      "                                                                  'using tools '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'TMHMM '\n",
+      "                                                                  '(transmembrane '\n",
+      "                                                                  'regions), '\n",
+      "                                                                  'SignalP '\n",
+      "                                                                  '(signal '\n",
+      "                                                                  'peptides on '\n",
+      "                                                                  'secreted '\n",
+      "                                                                  'proteins),\\n'\n",
+      "                                                                  '  and '\n",
+      "                                                                  'TargetP '\n",
+      "                                                                  '(subcellular '\n",
+      "                                                                  'localization)\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- any other '\n",
+      "                                                                  'kind of '\n",
+      "                                                                  'domain '\n",
+      "                                                                  'modeling '\n",
+      "                                                                  'tool or '\n",
+      "                                                                  'collections '\n",
+      "                                                                  'of them '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'SMART, '\n",
+      "                                                                  'PROSITE, '\n",
+      "                                                                  'PANTHER, '\n",
+      "                                                                  'InterPro, '\n",
+      "                                                                  'etc.\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- An entry '\n",
+      "                                                                  'in the with '\n",
+      "                                                                  'field of a '\n",
+      "                                                                  'GO '\n",
+      "                                                                  'annotation '\n",
+      "                                                                  'is required '\n",
+      "                                                                  'when the '\n",
+      "                                                                  'model used '\n",
+      "                                                                  'is an '\n",
+      "                                                                  'object with '\n",
+      "                                                                  'an '\n",
+      "                                                                  'accession '\n",
+      "                                                                  'number\\n'\n",
+      "                                                                  '  (as found '\n",
+      "                                                                  'with Pfam, '\n",
+      "                                                                  'TIGRFAM, '\n",
+      "                                                                  'InterPro, '\n",
+      "                                                                  'PROSITE, '\n",
+      "                                                                  'Rfam, '\n",
+      "                                                                  'etc.)  The '\n",
+      "                                                                  'with field '\n",
+      "                                                                  'may be left '\n",
+      "                                                                  'blank for '\n",
+      "                                                                  'tools such '\n",
+      "                                                                  'as\\n'\n",
+      "                                                                  '  tRNAscan '\n",
+      "                                                                  'and Snoscan '\n",
+      "                                                                  'where there '\n",
+      "                                                                  'is not an '\n",
+      "                                                                  'object with '\n",
+      "                                                                  'an '\n",
+      "                                                                  'accession '\n",
+      "                                                                  'to point '\n",
+      "                                                                  'to.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                      'from '\n",
+      "                                                                      'Sequence '\n",
+      "                                                                      'Model',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                             'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                          '@frameid': 'EV-COMP-HINF-FN-FROM-SEQ',\n",
+      "                                                                          '@orgid': 'ECOLI',\n",
+      "                                                                          '@resource': 'getxml?ECOLI:EV-COMP-HINF-FN-FROM-SEQ'}}},\n",
+      "                           'Publication': {'@ID': 'ECOLI:PUB-UNIPROT-2021-03',\n",
+      "                                           '@detail': 'full',\n",
+      "                                           '@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           'author': {'#text': 'UniProt '\n",
+      "                                                               'Consortium',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'source': {'#text': 'Database',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'title': {'#text': 'UniProt version '\n",
+      "                                                              '2021-03 '\n",
+      "                                                              'released on '\n",
+      "                                                              '2021-06-16',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                                           'year': {'#text': '2021',\n",
+      "                                                    '@datatype': 'integer'}}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'left-end-position': {'#text': '3', '@datatype': 'integer'},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'Nucleotide-Phosphate-Binding-Regions',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:Nucleotide-Phosphate-Binding-Regions'}},\n",
+      "              'right-end-position': {'#text': '17', '@datatype': 'integer'}}},\n",
+      " {'Feature': {'@ID': 'ECOLI:FTR0-1552175',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1552175',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'comment': {'#text': 'N6-acetyllysine site upregulated '\n",
+      "                                   '(log<SUB>2</SUB>(fold-change) =  2.41) by '\n",
+      "                                   'YfiQ; digests by trypsin',\n",
+      "                          '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP',\n",
+      "                                             '@class': 'true',\n",
+      "                                             '@detail': 'full',\n",
+      "                                             '@frameid': 'EV-EXP',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             'comment': {'#text': 'Inferred '\n",
+      "                                                                  'from '\n",
+      "                                                                  'experiment.  '\n",
+      "                                                                  'The '\n",
+      "                                                                  'evidence '\n",
+      "                                                                  'for an '\n",
+      "                                                                  'assertion '\n",
+      "                                                                  'comes from '\n",
+      "                                                                  'a\\n'\n",
+      "                                                                  'wet-lab '\n",
+      "                                                                  'experiment '\n",
+      "                                                                  'of some '\n",
+      "                                                                  'type.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                      'from '\n",
+      "                                                                      'experiment',\n",
+      "                                                             '@datatype': 'string'}},\n",
+      "                           'Publication': {'@ID': 'ECOLI:PUB-30352934',\n",
+      "                                           '@detail': 'full',\n",
+      "                                           '@frameid': 'PUB-30352934',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           'author': [{...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...}],\n",
+      "                                           'pubmed-id': {'#text': '30352934',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                           'source': {'#text': 'MBio 9(5)',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'title': {'#text': 'Identification '\n",
+      "                                                              'of Novel '\n",
+      "                                                              'Protein Lysine '\n",
+      "                                                              'Acetyltransferases '\n",
+      "                                                              'in Escherichia '\n",
+      "                                                              'coli.',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                                           'year': {'#text': '2018',\n",
+      "                                                    '@datatype': 'integer'}}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'N6-acetyllysine-Modifications',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:N6-acetyllysine-Modifications'}},\n",
+      "              'residue-number': {'#text': '217', '@datatype': 'integer'}}},\n",
+      " {'Feature': {'@ID': 'ECOLI:FTR0-1551738',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1551738',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'comment': {'#text': 'N6-acetyllysine site upregulated '\n",
+      "                                   '(log<SUB>2</SUB>(fold-change) =  3.61) by '\n",
+      "                                   'YiaC; digests by trypsin',\n",
+      "                          '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                             '@frameid': 'EV-EXP',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             '@resource': '#ECOLI:EV-EXP'},\n",
+      "                           'Publication': {'@frameid': 'PUB-30352934',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           '@resource': '#ECOLI:PUB-30352934'}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'N6-acetyllysine-Modifications',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:N6-acetyllysine-Modifications'}},\n",
+      "              'residue-number': {'#text': '66', '@datatype': 'integer'}}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "protein = 'DALADEHYDROGA-MONOMER'\n",
+    "\n",
+    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']\n",
+    "pp.pprint(o['Protein']['has-feature'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:41.456330Z",
+     "start_time": "2023-06-26T19:05:41.282145Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(50): # range(len(proteins_df.index)):\n",
+    "    if i % 100 == 0:\n",
+    "        print(i)\n",
+    "\n",
+    "    protein = proteins_df.loc[i, 'id']\n",
+    "\n",
+    "    req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    if r.status_code != 200:\n",
+    "        print(protein, r.status_code)\n",
+    "        proteins_df.loc[i, 'cofactors'] = 'NO ECOCYC ENTRY'\n",
+    "        continue\n",
+    "\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']\n",
+    "\n",
+    "    metal_set = set()\n",
+    "    other_feature_set = set()\n",
+    "    if 'Protein' in o and 'has-feature' in o['Protein']:\n",
+    "        features = o['Protein']['has-feature']\n",
+    "\n",
+    "        if type(features) is dict:\n",
+    "            features = [features]\n",
+    "\n",
+    "        for feature in features:\n",
+    "            if 'parent' not in feature['Feature']:\n",
+    "                continue\n",
+    "\n",
+    "            category = feature['Feature']['parent']['Feature']['@frameid']\n",
+    "            if category == 'Metal-Binding-Sites' and 'comment' in feature['Feature']:\n",
+    "\n",
+    "                # Detect match to any of the allowed metal names and allowed cofactor names and add to list\n",
+    "                comment = feature['Feature']['comment']['#text']\n",
+    "                metal_set.add(comment)\n",
+    "\n",
+    "                proteins_df.at[i, 'metal_features'] = list(metal_set)\n",
+    "\n",
+    "            if category == 'Nucleotide-Phosphate-Binding-Regions' and 'attached-group' in feature['Feature']:\n",
+    "                attached_group = feature['Feature']['attached-group']['Compound']['@frameid']\n",
+    "                other_feature_set.add(attached_group)\n",
+    "\n",
+    "            if category == 'N6-pyridoxal-phosphate-Lys-Modification':\n",
+    "                other_feature_set.add('PYRIDOXAL_PHOSPHATE')\n",
+    "\n",
+    "            proteins_df.at[i, 'metal_features'] = list(metal_set)\n",
+    "            proteins_df.at[i, 'other_features'] = list(other_feature_set)\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:53.090807Z",
+     "start_time": "2023-06-26T19:05:41.481717Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name metal_features  \\\n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...             []   \n1                                 1-phosphofructokinase             []   \n2                         2-dehydropantoate 2-reductase             []   \n3                            2-isopropylmalate synthase             []   \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...             []   \n...                                                 ...            ...   \n4415  galactofuranose ABC transporter putative ATP b...              0   \n4416  galactofuranose ABC transporter putative membr...              0   \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...              0   \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit              0   \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...              0   \n\n     other_features  \n0                []  \n1             [ATP]  \n2            [NADP]  \n3                []  \n4                []  \n...             ...  \n4415              0  \n4416              0  \n4417              0  \n4418              0  \n4419              0  \n\n[4420 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>metal_features</th>\n      <th>other_features</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td>[]</td>\n      <td>[ATP]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td>[]</td>\n      <td>[NADP]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proteins_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:53.098486Z",
+     "start_time": "2023-06-26T19:05:53.095575Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:53.099951Z",
+     "start_time": "2023-06-26T19:05:53.098114Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/notebooks/fbagd/metal_binding_uniprot.ipynb b/notebooks/fbagd/metal_binding_uniprot.ipynb
index 6d1a7cd92..0f82361de 100644
--- a/notebooks/fbagd/metal_binding_uniprot.ipynb
+++ b/notebooks/fbagd/metal_binding_uniprot.ipynb
@@ -2,17 +2,17 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "outputs": [],
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "\n",
@@ -29,20 +29,34 @@
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
     "import requests\n",
-    "import xmltodict"
+    "import xmltodict\n",
+    "\n",
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:00:58.604688Z",
-     "start_time": "2023-06-22T23:00:58.566622Z"
+     "end_time": "2023-06-23T17:02:08.806238Z",
+     "start_time": "2023-06-23T17:02:08.524729Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "outputs": [],
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                    complex  stoichiometry                   reaction\n0                     1-PFK              1                  1-PFK_RXN\n1             1-PFK-MONOMER             -2                  1-PFK_RXN\n2     2OXOGLUTARATEDEH-CPLX              1  2OXOGLUTARATEDEH-CPLX_RXN\n3                       E1O             -1  2OXOGLUTARATEDEH-CPLX_RXN\n4                       E2O             -1  2OXOGLUTARATEDEH-CPLX_RXN\n...                     ...            ...                        ...\n2811                FFS-RNA             -1               SRP-CPLX_RXN\n2812          CPLX0-7796APO              1          CPLX0-7796APO_RXN\n2813                PD04032             -2          CPLX0-7796APO_RXN\n2814              ARCB-CPLX              1              ARCB-CPLX_RXN\n2815           ARCB-MONOMER             -2              ARCB-CPLX_RXN\n\n[2816 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>-2</td>\n      <td>1-PFK_RXN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E1O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E2O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2811</th>\n      <td>FFS-RNA</td>\n      <td>-1</td>\n      <td>SRP-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>2812</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n    </tr>\n    <tr>\n      <th>2813</th>\n      <td>PD04032</td>\n      <td>-2</td>\n      <td>CPLX0-7796APO_RXN</td>\n    </tr>\n    <tr>\n      <th>2814</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>2815</th>\n      <td>ARCB-MONOMER</td>\n      <td>-2</td>\n      <td>ARCB-CPLX_RXN</td>\n    </tr>\n  </tbody>\n</table>\n<p>2816 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
     "stoich_series = complexation_rxn_df.loc[:,['id', 'stoichiometry']].dropna().reset_index(drop=True)\n",
@@ -54,50 +68,342 @@
     "\n",
     "    stoich = ast.literal_eval(stoich)\n",
     "    for k,v in stoich.items():\n",
-    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None, None])"
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id']])\n",
+    "\n",
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction'])\n",
+    "pre_complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:00:58.634337Z",
-     "start_time": "2023-06-22T23:00:58.606119Z"
+     "end_time": "2023-06-23T17:02:10.131533Z",
+     "start_time": "2023-06-23T17:02:10.091418Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 25,
    "outputs": [
     {
      "data": {
-      "text/plain": "                    complex  stoichiometry                   reaction  \\\n0                     1-PFK              1                  1-PFK_RXN   \n1             1-PFK-MONOMER             -2                  1-PFK_RXN   \n2     2OXOGLUTARATEDEH-CPLX              1  2OXOGLUTARATEDEH-CPLX_RXN   \n3                       E1O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n4                       E2O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n...                     ...            ...                        ...   \n2811                FFS-RNA             -1               SRP-CPLX_RXN   \n2812          CPLX0-7796APO              1          CPLX0-7796APO_RXN   \n2813                PD04032             -2          CPLX0-7796APO_RXN   \n2814              ARCB-CPLX              1              ARCB-CPLX_RXN   \n2815           ARCB-MONOMER             -2              ARCB-CPLX_RXN   \n\n     enzyme-reaction cofactors metal_binding  \n0               None      None          None  \n1               None      None          None  \n2               None      None          None  \n3               None      None          None  \n4               None      None          None  \n...              ...       ...           ...  \n2811            None      None          None  \n2812            None      None          None  \n2813            None      None          None  \n2814            None      None          None  \n2815            None      None          None  \n\n[2816 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>-2</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E1O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E2O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2811</th>\n      <td>FFS-RNA</td>\n      <td>-1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2812</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2813</th>\n      <td>PD04032</td>\n      <td>-2</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2814</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2815</th>\n      <td>ARCB-MONOMER</td>\n      <td>-2</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>2816 rows × 6 columns</p>\n</div>"
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name uniprot_id  \n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...             \n1                                 1-phosphofructokinase             \n2                         2-dehydropantoate 2-reductase             \n3                            2-isopropylmalate synthase             \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...             \n...                                                 ...        ...  \n4415  galactofuranose ABC transporter putative ATP b...             \n4416  galactofuranose ABC transporter putative membr...             \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...             \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit             \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...             \n\n[4420 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>uniprot_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td></td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 3 columns</p>\n</div>"
      },
-     "execution_count": 4,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors', 'metal_binding'])\n",
-    "pre_complex_df"
+    "# get a set of all monomers with an associated uniprot id\n",
+    "proteins_df = pd.read_csv('reconstruction/ecoli/flat/proteins.tsv', sep='\\t').loc[:, [\"id\", \"common_name\"]]\n",
+    "proteins_df[\"uniprot_id\"] = \"\"\n",
+    "\n",
+    "proteins_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:01:19.604470Z",
-     "start_time": "2023-06-22T23:01:19.599129Z"
+     "end_time": "2023-06-23T17:02:10.663746Z",
+     "start_time": "2023-06-23T17:02:10.639437Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "no protein for AGAA-MONOMER\n",
+      "100\n",
+      "200\n",
+      "300\n",
+      "no protein for EG10010-MONOMER\n",
+      "400\n",
+      "500\n",
+      "no protein for EG10659-MONOMER\n",
+      "600\n",
+      "700\n",
+      "no protein for EG11092-MONOMER\n",
+      "800\n",
+      "900\n",
+      "no protein for EG11304-MONOMER\n",
+      "no protein for EG11386-MONOMER\n",
+      "1000\n",
+      "no protein for EG11496-MONOMER\n",
+      "1100\n",
+      "EG11708-MONOMER 404\n",
+      "no protein for EG11766-MONOMER\n",
+      "no protein for EG11770-MONOMER\n",
+      "1200\n",
+      "no protein for EG11778-MONOMER\n",
+      "no protein for EG11780-MONOMER\n",
+      "1300\n",
+      "no protein for EG11927-MONOMER\n",
+      "no protein for EG11986-MONOMER\n",
+      "no protein for EG12020-MONOMER\n",
+      "no protein for EG12051-MONOMER\n",
+      "1400\n",
+      "no protein for EG12161-MONOMER\n",
+      "no protein for EG12208-MONOMER\n",
+      "no protein for EG12227-MONOMER\n",
+      "no protein for EG12238-MONOMER\n",
+      "no protein for EG12261-MONOMER\n",
+      "1500\n",
+      "no protein for EG12364-MONOMER\n",
+      "1600\n",
+      "no protein for EG12881-MONOMER\n",
+      "1700\n",
+      "no protein for G0-16653-MONOMER\n",
+      "no protein for G0-16659-MONOMER\n",
+      "no protein for G0-16666-MONOMER\n",
+      "no protein for G0-16672-MONOMER\n",
+      "no protein for G0-16713-MONOMER\n",
+      "no protein for G0-16715-MONOMER\n",
+      "no protein for G0-16716-MONOMER\n",
+      "no protein for G0-16717-MONOMER\n",
+      "no protein for G0-16718-MONOMER\n",
+      "no protein for G0-16719-MONOMER\n",
+      "no protein for G0-16720-MONOMER\n",
+      "1800\n",
+      "no protein for G6102-MONOMER\n",
+      "no protein for G6113-MONOMER\n",
+      "no protein for G6114-MONOMER\n",
+      "no protein for G6119-MONOMER\n",
+      "no protein for G6130-MONOMER\n",
+      "no protein for G6137-MONOMER\n",
+      "no protein for G6170-MONOMER\n",
+      "no protein for G6214-MONOMER\n",
+      "no protein for G6222-MONOMER\n",
+      "1900\n",
+      "no protein for G6231-MONOMER\n",
+      "no protein for G6271-MONOMER\n",
+      "no protein for G6295-MONOMER\n",
+      "no protein for G6298-MONOMER\n",
+      "no protein for G6316-MONOMER\n",
+      "2000\n",
+      "no protein for G6376-MONOMER\n",
+      "no protein for G6377-MONOMER\n",
+      "2100\n",
+      "no protein for G6535-MONOMER\n",
+      "no protein for G6596-MONOMER\n",
+      "no protein for G6599-MONOMER\n",
+      "no protein for G6609-MONOMER\n",
+      "2200\n",
+      "no protein for G6632-MONOMER\n",
+      "no protein for G6686-MONOMER\n",
+      "no protein for G6692-MONOMER\n",
+      "no protein for G6722-MONOMER\n",
+      "2300\n",
+      "no protein for G6767-MONOMER\n",
+      "no protein for G6771-MONOMER\n",
+      "no protein for G6796-MONOMER\n",
+      "no protein for G6836-MONOMER\n",
+      "no protein for G6837-MONOMER\n",
+      "2400\n",
+      "no protein for G6926-MONOMER\n",
+      "2500\n",
+      "no protein for G7043-MONOMER\n",
+      "no protein for G7044-MONOMER\n",
+      "no protein for G7052-MONOMER\n",
+      "no protein for G7066-MONOMER\n",
+      "no protein for G7075-MONOMER\n",
+      "no protein for G7079-MONOMER\n",
+      "2600\n",
+      "no protein for G7120-MONOMER\n",
+      "no protein for G7155-MONOMER\n",
+      "no protein for G7209-MONOMER\n",
+      "no protein for G7224-MONOMER\n",
+      "2700\n",
+      "2800\n",
+      "no protein for G7376-MONOMER\n",
+      "no protein for G7383-MONOMER\n",
+      "no protein for G7389-MONOMER\n",
+      "no protein for G7470-MONOMER\n",
+      "no protein for G7474-MONOMER\n",
+      "no protein for G7475-MONOMER\n",
+      "no protein for G7476-MONOMER\n",
+      "no protein for G7478-MONOMER\n",
+      "no protein for G7479-MONOMER\n",
+      "no protein for G7482-MONOMER\n",
+      "2900\n",
+      "no protein for G7515-MONOMER\n",
+      "no protein for G7557-MONOMER\n",
+      "no protein for G7585-MONOMER\n",
+      "3000\n",
+      "no protein for G7633-MONOMER\n",
+      "no protein for G7671-MONOMER\n",
+      "3100\n",
+      "no protein for G7760-MONOMER\n",
+      "no protein for G7798-MONOMER\n",
+      "no protein for G7863-MONOMER\n",
+      "no protein for G7898-MONOMER\n",
+      "3200\n",
+      "no protein for G7902-MONOMER\n",
+      "no protein for G7903-MONOMER\n",
+      "no protein for G7904-MONOMER\n",
+      "no protein for G7907-MONOMER\n",
+      "no protein for G7918-MONOMER\n",
+      "no protein for G7934-MONOMER\n",
+      "no protein for G8205-MONOMER\n",
+      "no protein for G8221-MONOMER\n",
+      "no protein for GATC-MONOMER\n",
+      "3300\n",
+      "3400\n",
+      "3500\n",
+      "no dblink for MONOMER0-1241\n",
+      "no protein for MONOMER0-2653\n",
+      "no protein for MONOMER0-2666\n",
+      "no protein for MONOMER0-2667\n",
+      "no uniprot id for MONOMER0-2748\n",
+      "no uniprot id for MONOMER0-2755\n",
+      "no uniprot id for MONOMER0-2756\n",
+      "no uniprot id for MONOMER0-2757\n",
+      "no uniprot id for MONOMER0-2761\n",
+      "no protein for MONOMER0-2778\n",
+      "3600\n",
+      "no uniprot id for MONOMER0-2824\n",
+      "no uniprot id for MONOMER0-2825\n",
+      "no uniprot id for MONOMER0-2851\n",
+      "no dblink for MONOMER0-4223\n",
+      "no uniprot id for MONOMER0-4229\n",
+      "no uniprot id for MONOMER0-4230\n",
+      "no uniprot id for MONOMER0-4231\n",
+      "no uniprot id for MONOMER0-4246\n",
+      "no uniprot id for MONOMER0-4247\n",
+      "no uniprot id for MONOMER0-4248\n",
+      "no uniprot id for MONOMER0-4249\n",
+      "no uniprot id for MONOMER0-4255\n",
+      "no uniprot id for MONOMER0-4256\n",
+      "no uniprot id for MONOMER0-4257\n",
+      "no uniprot id for MONOMER0-4258\n",
+      "no uniprot id for MONOMER0-4259\n",
+      "no uniprot id for MONOMER0-4345\n",
+      "no uniprot id for MONOMER0-4346\n",
+      "no protein for MONOMER0-4386\n",
+      "no protein for MONOMER0-4395\n",
+      "3700\n",
+      "no dblink for MONOMER0-4509\n",
+      "no uniprot id for MONOMER0-4519\n",
+      "no uniprot id for MONOMER0-4521\n",
+      "3800\n",
+      "3900\n",
+      "no protein for PD00338\n",
+      "no protein for PD03576\n",
+      "4000\n",
+      "no protein for PHNE-MONOMER\n",
+      "4100\n",
+      "4200\n",
+      "4300\n",
+      "no protein for YCJV-MONOMER\n",
+      "no protein for YGAY-MONOMER\n",
+      "no protein for YHDW-MONOMER\n",
+      "4400\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(len(proteins_df.index)):\n",
+    "    if i % 100 == 0:\n",
+    "        print(i)\n",
+    "\n",
+    "    protein = proteins_df.loc[i, 'id']\n",
+    "\n",
+    "    req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    if r.status_code != 200:\n",
+    "        print(protein, r.status_code)\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO ECOCYC ENTRY'\n",
+    "        continue\n",
+    "\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']\n",
+    "\n",
+    "    if 'Protein' not in o.keys():\n",
+    "        print(f'no protein for {protein}')\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO PROTEIN ENTRY'\n",
+    "        continue\n",
+    "    elif 'dblink' not in o['Protein'].keys():\n",
+    "        print(f'no dblink for {protein}')\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO DBLINK ENTRY'\n",
+    "        continue\n",
+    "\n",
+    "    o = o['Protein']['dblink']\n",
+    "\n",
+    "    if type(o) is dict:\n",
+    "        o = [o]\n",
+    "\n",
+    "    found = False\n",
+    "    for data_source in o:\n",
+    "        if data_source['dblink-db'] == 'UNIPROT' and 'dblink-oid' in data_source.keys():\n",
+    "            uniprot_id = data_source['dblink-oid']\n",
+    "\n",
+    "            proteins_df.loc[i, 'uniprot_id'] = uniprot_id\n",
+    "\n",
+    "            found = True\n",
+    "\n",
+    "    if not found:\n",
+    "        print(f'no uniprot id for {protein}')\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO UNIPROT ENTRY'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T18:08:01.390251Z",
+     "start_time": "2023-06-23T17:51:08.885980Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
    "outputs": [],
    "source": [
-    "s = requests.Session() # create session\n",
-    "# Post login credentials to session:\n",
-    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+    "proteins_df.to_csv('notebooks/fbagd/proteins.csv', index=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T18:22:13.135254Z",
+     "start_time": "2023-06-23T18:22:13.118803Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name uniprot_id  \n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...     P26647  \n1                                 1-phosphofructokinase     P0AEW9  \n2                         2-dehydropantoate 2-reductase     P0A9J4  \n3                            2-isopropylmalate synthase     P09151  \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...     P0A887  \n...                                                 ...        ...  \n4415  galactofuranose ABC transporter putative ATP b...     Q6BEX0  \n4416  galactofuranose ABC transporter putative membr...     P39328  \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...     P39172  \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit     P39832  \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...     P0A9X1  \n\n[4420 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>uniprot_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td>P26647</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td>P0AEW9</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td>P0A9J4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td>P09151</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td>P0A887</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td>Q6BEX0</td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td>P39328</td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td>P39172</td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td>P39832</td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td>P0A9X1</td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proteins_df = pd.read_csv('notebooks/fbagd/proteins.csv')\n",
+    "proteins_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T22:44:47.936315Z",
+     "start_time": "2023-06-23T22:44:47.922293Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Use uniprot id to get cofactor comments"
    ],
    "metadata": {
     "collapsed": false
@@ -105,35 +411,695 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 105,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Empty DataFrame\nColumns: [protein, cofactor_uniprot_name, cofactor_uniprot_id, cofactor_uniprot_db, comment]\nIndex: []",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>protein</th>\n      <th>cofactor_uniprot_name</th>\n      <th>cofactor_uniprot_id</th>\n      <th>cofactor_uniprot_db</th>\n      <th>comment</th>\n    </tr>\n  </thead>\n  <tbody>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cofactor_slot_df = pd.DataFrame(columns=['protein', 'cofactor_uniprot_name', 'cofactor_uniprot_id', 'cofactor_uniprot_db', 'cofactor_comment', 'subunit_comment'])\n",
+    "cofactor_slot_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T22:47:10.501848Z",
+     "start_time": "2023-06-23T22:47:10.499336Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
    "outputs": [
     {
-     "ename": "TypeError",
-     "evalue": "'int' object is not iterable",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_89907/3715509847.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      1\u001B[0m \u001B[0;31m# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 2\u001B[0;31m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mlen\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mindex\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      3\u001B[0m     \u001B[0mcomplex\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'complex'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m     \u001B[0mreq_str\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34mf'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "\n",
+      "\n",
+      "P26647\n",
+      "\n",
+      "\n",
+      "P0AEW9\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Can also use Mn(2+) or Co(2+), with lower efficiency.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A9J4\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P09151\n",
+      "Cofactor 1, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A887\n",
+      "Subunit:  Component of the Ubi complex metabolon, which regroups five ubiquinone biosynthesis proteins (UbiE, UbiF, UbiG, UbiH and UbiI) and two accessory factors (UbiK and the lipid-binding protein UbiJ).\n",
+      "\n",
+      "\n",
+      "P0A6A0\n",
+      "\n",
+      "\n",
+      "P31057\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Cofactor 1, option 3 Co(2+) CHEBI:48828 ChEBI\n",
+      "Cofactor 1, option 4 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit. Can also use Mn(2+), Co(2+) and Zn(2+) to a lesser extent.\n",
+      "Subunit:  Homodecamer; pentamer of dimers.\n",
+      "\n",
+      "\n",
+      "P30125\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) or Mn(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AEK2\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P0AAI5\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AGK1\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Can also use Mn(2+) and Co(2+) with lower efficiency.\n",
+      "\n",
+      "\n",
+      "P0A796\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P06999\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P00350\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P52697\n",
+      "\n",
+      "\n",
+      "P0AET8\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P12998\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P31119\n",
+      "\n",
+      "\n",
+      "P30750\n",
+      "Subunit:  The complex is composed of two ATP-binding proteins (MetN), two transmembrane proteins (MetI) and a solute-binding protein (MetQ).\n",
+      "\n",
+      "\n",
+      "P46133\n",
+      "\n",
+      "\n",
+      "P0A6A3\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Mg(2+). Can also accept Mn(2+).\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P00894\n",
+      "Subunit:  Dimer of large and small chains.\n",
+      "\n",
+      "\n",
+      "P00893\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Cofactor 2, option 1 thiamine diphosphate CHEBI:58937 ChEBI\n",
+      "Comment:  Binds 1 thiamine pyrophosphate per subunit.\n",
+      "Subunit:  Dimer of large and small chains.\n",
+      "\n",
+      "\n",
+      "P76461\n",
+      "\n",
+      "\n",
+      "P0A6C8\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P23908\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Cofactor 1, option 2 Co(2+) CHEBI:48828 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) or Co(2+) ions per subunit.\n",
+      "Cofactor 2, option 1 glutathione CHEBI:57925 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P18335\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "Comment:  Binds 1 pyridoxal phosphate per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6L4\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P25516\n",
+      "Cofactor 1, option 1 [4Fe-4S] cluster CHEBI:49883 ChEBI\n",
+      "Comment:  Binds 1 [4Fe-4S] cluster per subunit.\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P36683\n",
+      "Cofactor 1, option 1 [4Fe-4S] cluster CHEBI:49883 ChEBI\n",
+      "Comment:  Binds 1 [4Fe-4S] cluster per subunit.\n",
+      "Subunit:  Monomer. AcnB can also form a homodimer. The monomer-homodimer transition is dependent on iron availability and the carboxymethylation of C-273 inhibits the dimer formation.\n",
+      "\n",
+      "\n",
+      "P69330\n",
+      "Subunit:  Oligomer with a subunit composition of (alpha,beta,gamma)6.\n",
+      "\n",
+      "\n",
+      "P31224\n",
+      "Subunit:  Homotrimer, with large domains that extend into the periplasm, interacts with AcrA and TolC. AcrA may be required to stably link this protein and TolC. Interacts with AcrZ. Part of the AcrA-AcrB-AcrZ-TolC efflux pump.\n",
+      "\n",
+      "\n",
+      "P24177\n",
+      "\n",
+      "\n",
+      "P24181\n",
+      "Subunit:  Part of the tripartite efflux system AcrEF-TolC, which is composed of an inner membrane transporter, AcrF, a periplasmic membrane fusion protein, AcrE, and an outer membrane component, TolC. The complex forms a large protein conduit and can translocate molecules across both the inner and outer membranes (Probable).\n",
+      "\n",
+      "\n",
+      "P27550\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Forms a 1:1 complex with CobB/NAD-dependent deacetylase.\n",
+      "\n",
+      "\n",
+      "P0ABK5\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer (Ref.6, PubMed:27531961). Forms a cysteine synthase complex with 1 copy of CysE (By similarity).\n",
+      "Subunit:  (Microbial infection) Interacts with CdiA-CT from strain 536 / UPEC, this is blocked upon preincubation with O-acetyl-L-serine. CysK forms a complex with CdiA-CT/CdiI (PubMed:22333533). One CdiA toxin subunit binds to each subunit of the CysK homodimer, and one CdiI immunity protein binds to each toxin subunit; the immune complex is thus a dimer of trimers. The 4 C-terminal residues of CdiA fit into the active site of CysK (PubMed:27531961).\n",
+      "\n",
+      "\n",
+      "P16703\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "Q47146\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P69451\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P28305\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P22333\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 zinc ion per subunit.\n",
+      "\n",
+      "\n",
+      "P69503\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P69441\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P00936\n",
+      "\n",
+      "\n",
+      "P0A7D4\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6J1\n",
+      "\n",
+      "\n",
+      "P25437\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) ions per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A9Q7\n",
+      "Cofactor 1, option 1 Fe(2+) CHEBI:29033 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Forms long filaments, called spirosomes (PubMed:31586059, PubMed:32188856, PubMed:32523125). Forms rod-like ultrastructures composed of 20-60 identical subunits (PubMed:1325457). Two monomers form a dimer in a head-to-head arm-crossing fashion through the ALDH domains (PubMed:31586059). Subsequently, two dimers form one helical pitch via the interaction of ADH domains in a tail-to-tail manner (PubMed:31586059, PubMed:32523125). These units are further assembled into spirosomes (PubMed:31586059, PubMed:32188856, PubMed:32523125). Formation of these spirosomes is required for activity (PubMed:31586059, PubMed:32188856, PubMed:32523125). Can be isolated in vitro in a wide range of oligomeric states (PubMed:31586059).\n",
+      "\n",
+      "\n",
+      "P39451\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) ions per subunit.\n",
+      "\n",
+      "\n",
+      "P13035\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P42909\n",
+      "\n",
+      "\n",
+      "P42910\n",
+      "\n",
+      "\n",
+      "P42911\n",
+      "\n",
+      "\n",
+      "P36881\n",
+      "\n",
+      "\n",
+      "P60651\n",
+      "Cofactor 1, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P15639\n",
+      "\n",
+      "\n",
+      "P08178\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AB77\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "Comment:  Binds 1 pyridoxal phosphate per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6B4\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P29012\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P00957\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 zinc ion per subunit; it is not clear where this binding occurs.\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P37685\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P23883\n",
+      "\n",
+      "\n",
+      "P0A9C3\n",
+      "\n",
+      "\n",
+      "P00634\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion.\n",
+      "Cofactor 2, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) ions.\n",
+      "Subunit:  Isozymes 1 and 3 are a dimer of identical chains, isozyme 2 is a dimer of heterogeneous chains, one of each of the subunits from isozymes 1 and 3.\n",
+      "\n",
+      "\n",
+      "P26612\n",
+      "Cofactor 1, option 1 Ca(2+) CHEBI:29108 ChEBI\n",
+      "Comment:  Binds 1 Ca(2+) ion per subunit.\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P25718\n",
+      "Cofactor 1, option 1 Ca(2+) CHEBI:29108 ChEBI\n",
+      "Comment:  Binds 1 Ca(2+) ion per subunit.\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P38038\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "Comment:  Binds 1 FAD per subunit.\n",
+      "Cofactor 2, option 1 FMN CHEBI:58210 ChEBI\n",
+      "Comment:  Binds 1 FMN per subunit.\n",
+      "Subunit:  Alpha(8)-beta(8). The alpha component is a flavoprotein, the beta component is a hemoprotein.\n",
+      "\n",
+      "\n",
+      "P06720\n",
+      "Cofactor 1, option 1 NAD(+) CHEBI:57540 ChEBI\n",
+      "Comment:  Binds 1 NAD(+) per subunit.\n",
+      "Cofactor 2, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mn(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6L7\n",
+      "\n",
+      "\n",
+      "P42604\n",
+      "Cofactor 1, option 1 Fe(2+) CHEBI:29033 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Mn(2+) can substitute for iron, but in higher concentrations. Cannot use Fe(3+), Ni(2+) or Mg(2+).\n",
+      "\n",
+      "\n",
+      "P46883\n",
+      "Cofactor 1, option 1 Cu cation CHEBI:23378 ChEBI\n",
+      "Cofactor 1, option 2 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 copper ion per subunit. Can also use zinc ion as cofactor (By similarity).\n",
+      "Cofactor 2, option 1 Ca(2+) CHEBI:29108 ChEBI\n",
+      "Comment:  Binds 2 calcium ions per subunit.\n",
+      "Cofactor 3, option 1 L-topaquinone CHEBI:79027 ChEBI\n",
+      "Comment:  Contains 1 topaquinone per subunit.\n",
+      "Cofactor 4, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mn(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AE12\n",
+      "Subunit:  Homohexamer. Trimer of dimers.\n",
+      "\n",
+      "\n",
+      "P0AE16\n",
+      "\n",
+      "\n",
+      "P69681\n",
+      "Subunit:  Homotrimer (PubMed:12023896, PubMed:15563598, PubMed:15361618, PubMed:17040913). In response to elevation of the extracellular ammonium concentration, interacts and forms a complex with GlnK (PubMed:10637624, PubMed:11847102, PubMed:14668330, PubMed:17220269, PubMed:17190799, PubMed:16864585, PubMed:20639578). Interacts with GlnK with a stoichiometry of AmtB(3):GlnK(3) (PubMed:17220269, PubMed:17190799). Sequestration of GlnK is reversible (PubMed:14668330).\n",
+      "\n",
+      "\n",
+      "P15977\n",
+      "\n",
+      "\n",
+      "P0A9C0\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Cofactor 2, option 1 FMN CHEBI:58210 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Composed of a catalytic GlpA/B dimer and of membrane bound GlpC.\n",
+      "\n",
+      "\n",
+      "P13033\n",
+      "Cofactor 1, option 1 FMN CHEBI:58210 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Composed of a catalytic GlpA/B dimer and of membrane bound GlpC.\n",
+      "\n",
+      "\n",
+      "P0A996\n",
+      "Subunit:  Composed of a catalytic GlpA/B dimer and of GlpC.\n",
+      "\n",
+      "\n",
+      "P0A962\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P00805\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P77610\n",
+      "\n",
+      "\n",
+      "P00895\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Subunit:  Heterotetramer consisting of two non-identical subunits: a beta subunit (TrpG) and a large lpha subunit (TrpE).\n",
+      "\n",
+      "\n",
+      "P00904\n",
+      "Subunit:  Heterotetramer consisting of two non-identical subunits: a beta subunit (TrpG) and a large alpha subunit (TrpE).\n",
+      "\n",
+      "\n",
+      "P0AE22\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P07102\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P26458\n",
+      "Cofactor 1, option 1 heme CHEBI:30413 ChEBI\n",
+      "Comment:  May bind up to 3 heme groups per complex.\n",
+      "Subunit:  Heterodimer of subunits I and II.\n",
+      "\n",
+      "\n",
+      "P26459\n",
+      "Cofactor 1, option 1 heme CHEBI:30413 ChEBI\n",
+      "Comment:  May bind up to 3 heme groups per complex.\n",
+      "Subunit:  Heterodimer of subunits I and II.\n",
+      "\n",
+      "\n",
+      "P60844\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P08202\n",
+      "Cofactor 1, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mn(2+) ion per subunit.\n",
+      "Subunit:  Homohexamer.\n",
+      "\n",
+      "\n",
+      "P0AE24\n",
+      "\n",
+      "\n",
+      "P02924\n",
+      "\n",
+      "\n",
+      "P0AAF3\n",
+      "Subunit:  The complex is composed of two ATP-binding proteins (AraG), two transmembrane proteins (AraH) and a solute-binding protein (AraF).\n",
+      "\n",
+      "\n",
+      "P0AE26\n",
+      "\n",
+      "\n",
+      "P23910\n",
+      "\n",
+      "\n",
+      "P0A9Q1\n",
+      "\n",
+      "\n",
+      "P0AEC3\n",
+      "\n",
+      "\n",
+      "P0AAE5\n",
+      "\n",
+      "\n",
+      "P21170\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Cofactor 2, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homotetramer.\n"
      ]
     }
    ],
    "source": [
-    "# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\n",
-    "for i in len(pre_complex_df.index):\n",
-    "    complex = pre_complex_df.loc[i, 'complex']\n",
-    "    req_str = f'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\n",
+    "for i in range(100): # range(len(proteins_df.index)):\n",
+    "    if i % 100 == 0:\n",
+    "        print(i)\n",
+    "\n",
+    "    protein = proteins_df.loc[i, 'uniprot_id']\n",
+    "\n",
+    "    if protein in ['NO UNIPROT ENTRY', 'NO PROTEIN ENTRY', 'NO DBLINK ENTRY', 'NO ECOCYC ENTRY']:\n",
+    "        continue\n",
+    "\n",
+    "    # use uniprot api to get protein associated with uniprot id\n",
+    "    # req_str = f'https://www.uniprot.org/uniprot/{protein}.xml'\n",
+    "    req_str = f'https://rest.uniprot.org/uniprotkb/{protein}.xml'\n",
     "\n",
     "    r = s.get(req_str)\n",
     "    o = xmltodict.parse(r.content)\n",
-    "\n"
+    "\n",
+    "    print('\\n\\n' + protein)\n",
+    "\n",
+    "    cofactor_n = 0\n",
+    "\n",
+    "    if 'comment' in o['uniprot']['entry'].keys():\n",
+    "\n",
+    "        comments = o['uniprot']['entry']['comment']\n",
+    "\n",
+    "        if type(comments) is dict:\n",
+    "            comments = [comments]\n",
+    "\n",
+    "        for comment in comments:\n",
+    "            if comment['@type'] == 'cofactor':\n",
+    "\n",
+    "\n",
+    "                cofactor_n += 1\n",
+    "                cofactor_slot = comment['cofactor']\n",
+    "\n",
+    "                if type(cofactor_slot) is dict:\n",
+    "                    cofactor_slot = [cofactor_slot]\n",
+    "\n",
+    "                for j, cofactor in enumerate(cofactor_slot):\n",
+    "                    print(f'Cofactor {cofactor_n}, option {j+1}', cofactor['name'], cofactor['dbReference']['@id'], cofactor['dbReference']['@type'])\n",
+    "                    cofactor_slot_df.append({'protein':protein,\n",
+    "                                                                'cofactor_uniprot_name':cofactor['name'],\n",
+    "                                                                'cofactor_uniprot_id':cofactor['dbReference']['@id'],\n",
+    "                                                                'cofactor_uniprot_db':cofactor['dbReference']['@type']}, ignore_index=True)\n",
+    "\n",
+    "                    # proteins_df.loc[i, 'cofactor_uniprot_name'] = cofactor['cofactor']['name']\n",
+    "                    # proteins_df.loc[i, 'cofactor_uniprot_id'] = cofactor['cofactor']['dbReference']['@id']\n",
+    "                    # proteins_df.loc[i, 'cofactor_uniprot_db'] = cofactor['cofactor']['dbReference']['@type']\n",
+    "\n",
+    "                if 'text' in comment.keys():\n",
+    "                    if type(comment['text']) is dict:\n",
+    "                        print('Comment: ',comment['text']['#text'])\n",
+    "                    else:\n",
+    "                        print('Comment: ',comment['text'])\n",
+    "                else:\n",
+    "                    print('No cofactor slot comment')\n",
+    "\n",
+    "            if comment['@type'] == 'subunit':\n",
+    "                if 'text' in comment.keys():\n",
+    "                    if type(comment['text']) is dict:\n",
+    "                        print('Subunit: ', comment['text']['#text'])\n",
+    "                    else:\n",
+    "                        print('Subunit: ', comment['text'])\n",
+    "                else:\n",
+    "                    print('Subunit: no subunit comment')\n",
+    "\n",
+    "    else:\n",
+    "        print('no protein comment')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T22:30:06.355344Z",
+     "start_time": "2023-06-23T22:29:48.207011Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'@type': 'function',\n",
+      "  'text': 'The nitrate reductase enzyme complex allows E.coli to use nitrate '\n",
+      "          'as an electron acceptor during anaerobic growth. The alpha chain is '\n",
+      "          'the actual site of nitrate reduction.'},\n",
+      " {'@type': 'catalytic activity',\n",
+      "  'reaction': {'dbReference': [{'@id': 'RHEA:56144', '@type': 'Rhea'},\n",
+      "                               {'@id': 'CHEBI:15377', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:16301', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:17632', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:24646', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:132124', '@type': 'ChEBI'},\n",
+      "                               {'@id': '1.7.5.1', '@type': 'EC'}],\n",
+      "               'text': 'a quinol + nitrate = a quinone + H2O + nitrite'}},\n",
+      " {'@type': 'cofactor',\n",
+      "  'cofactor': {'dbReference': {'@id': 'CHEBI:49883', '@type': 'ChEBI'},\n",
+      "               'name': '[4Fe-4S] cluster'},\n",
+      "  'text': 'Binds 1 [4Fe-4S] cluster per subunit.'},\n",
+      " {'@type': 'cofactor',\n",
+      "  'cofactor': {'dbReference': {'@id': 'CHEBI:60539', '@type': 'ChEBI'},\n",
+      "               'name': 'Mo-bis(molybdopterin guanine dinucleotide)'},\n",
+      "  'text': 'Binds 1 molybdenum-bis(molybdopterin guanine dinucleotide) '\n",
+      "          '(Mo-bis-MGD) cofactor per subunit.'},\n",
+      " {'@type': 'subunit',\n",
+      "  'text': {'#text': 'Dimer of heterotrimers each composed of an alpha, a beta '\n",
+      "                    'and a gamma chain. Alpha and beta are catalytic chains; '\n",
+      "                    'gamma chains are involved in binding the enzyme complex '\n",
+      "                    'to the cytoplasmic membrane. Interacts with the NarJ '\n",
+      "                    'chaperone.',\n",
+      "           '@evidence': '2 3 4 7'}},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '13',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555067', 'id': 'P11349', 'label': 'narH'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '18',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555043', 'id': 'P0AF26', 'label': 'narJ'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '9',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555088', 'id': 'P19317', 'label': 'narW'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '5',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555059', 'id': 'P19318', 'label': 'narY'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'subcellular location',\n",
+      "  'subcellularLocation': {'location': 'Cell membrane',\n",
+      "                          'topology': 'Peripheral membrane protein'}},\n",
+      " {'@type': 'induction', 'text': 'By nitrate.'},\n",
+      " {'@type': 'domain',\n",
+      "  'text': {'#text': 'Apoenzyme contains at least 2 NarJ-binding sites, one '\n",
+      "                    'interfering with membrane anchoring and another being '\n",
+      "                    'involved in molybdenum insertion. The first binding-site '\n",
+      "                    'is a short peptide sequence near the N-terminus that '\n",
+      "                    'contains a twin-arginine homologous motif.',\n",
+      "           '@evidence': '2 3'}},\n",
+      " {'@type': 'similarity',\n",
+      "  'text': {'#text': 'Belongs to the prokaryotic molybdopterin-containing '\n",
+      "                    'oxidoreductase family.',\n",
+      "           '@evidence': '8'}},\n",
+      " {'@name': 'Worthington enzyme manual',\n",
+      "  '@type': 'online information',\n",
+      "  'link': {'@uri': 'https://www.worthington-biochem.com/NAR/'}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "protein = 'P09152'\n",
+    "\n",
+    "# use uniprot api to get protein associated with uniprot id\n",
+    "# req_str = f'https://www.uniprot.org/uniprot/{protein}.xml'\n",
+    "req_str = f'https://rest.uniprot.org/uniprotkb/{protein}.xml'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "o = xmltodict.parse(r.content)\n",
+    "pp.pprint(o['uniprot']['entry']['comment'])"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:25:26.706122Z",
-     "start_time": "2023-06-22T23:25:26.586031Z"
+     "end_time": "2023-06-23T22:27:46.357512Z",
+     "start_time": "2023-06-23T22:27:45.245773Z"
     }
    }
   },
diff --git a/notebooks/fbagd/test_environments_new.ipynb b/notebooks/fbagd/test_environments_new.ipynb
index a277b8e3a..0a8579d0f 100644
--- a/notebooks/fbagd/test_environments_new.ipynb
+++ b/notebooks/fbagd/test_environments_new.ipynb
@@ -6,8 +6,8 @@
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:20.819104Z",
-     "start_time": "2023-06-12T18:28:19.838801Z"
+     "end_time": "2023-06-26T19:06:22.109616Z",
+     "start_time": "2023-06-26T19:06:21.054198Z"
     }
    },
    "outputs": [],
@@ -57,8 +57,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:21.346042Z",
-     "start_time": "2023-06-12T18:28:21.343559Z"
+     "end_time": "2023-06-26T19:06:22.114632Z",
+     "start_time": "2023-06-26T19:06:22.110641Z"
     }
    }
   },
@@ -77,8 +77,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.121207Z",
-     "start_time": "2023-06-12T18:28:21.560910Z"
+     "end_time": "2023-06-26T19:06:22.674606Z",
+     "start_time": "2023-06-26T19:06:22.112998Z"
     }
    }
   },
@@ -94,8 +94,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.820459Z",
-     "start_time": "2023-06-12T18:28:22.120377Z"
+     "end_time": "2023-06-26T19:06:23.487385Z",
+     "start_time": "2023-06-26T19:06:22.675431Z"
     }
    }
   },
@@ -110,8 +110,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.820636Z",
-     "start_time": "2023-06-12T18:28:22.816178Z"
+     "end_time": "2023-06-26T19:06:23.489604Z",
+     "start_time": "2023-06-26T19:06:23.487666Z"
     }
    }
   },
@@ -143,8 +143,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.871571Z",
-     "start_time": "2023-06-12T18:28:22.828492Z"
+     "end_time": "2023-06-26T19:06:23.501761Z",
+     "start_time": "2023-06-26T19:06:23.496061Z"
     }
    }
   },
@@ -181,8 +181,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.206271Z",
-     "start_time": "2023-06-12T18:28:22.862546Z"
+     "end_time": "2023-06-26T19:06:23.887908Z",
+     "start_time": "2023-06-26T19:06:23.506008Z"
     }
    }
   },
@@ -222,8 +222,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.435269Z",
-     "start_time": "2023-06-12T18:28:23.205539Z"
+     "end_time": "2023-06-26T19:06:24.137601Z",
+     "start_time": "2023-06-26T19:06:23.888894Z"
     }
    }
   },
@@ -247,8 +247,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.439852Z",
-     "start_time": "2023-06-12T18:28:23.434458Z"
+     "end_time": "2023-06-26T19:06:24.137784Z",
+     "start_time": "2023-06-26T19:06:24.115142Z"
     }
    }
   },
@@ -271,8 +271,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.582097Z",
-     "start_time": "2023-06-12T18:28:23.470361Z"
+     "end_time": "2023-06-26T19:06:24.261823Z",
+     "start_time": "2023-06-26T19:06:24.134582Z"
     }
    }
   },
@@ -298,8 +298,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.703445Z",
-     "start_time": "2023-06-12T18:28:23.571807Z"
+     "end_time": "2023-06-26T19:06:24.333696Z",
+     "start_time": "2023-06-26T19:06:24.306108Z"
     }
    }
   },
@@ -354,8 +354,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.715047Z",
-     "start_time": "2023-06-12T18:28:23.694161Z"
+     "end_time": "2023-06-26T19:06:24.337983Z",
+     "start_time": "2023-06-26T19:06:24.335409Z"
     }
    }
   },
@@ -387,8 +387,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:25.117248Z",
-     "start_time": "2023-06-12T18:28:25.112691Z"
+     "end_time": "2023-06-26T19:06:24.341392Z",
+     "start_time": "2023-06-26T19:06:24.338980Z"
     }
    }
   },
@@ -414,8 +414,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:25.378637Z",
-     "start_time": "2023-06-12T18:28:25.364308Z"
+     "end_time": "2023-06-26T19:06:24.352427Z",
+     "start_time": "2023-06-26T19:06:24.344104Z"
     }
    }
   },
@@ -435,8 +435,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:26.170340Z",
-     "start_time": "2023-06-12T18:28:25.813388Z"
+     "end_time": "2023-06-26T19:06:24.775269Z",
+     "start_time": "2023-06-26T19:06:24.354150Z"
     }
    }
   },
@@ -450,8 +450,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:26.364457Z",
-     "start_time": "2023-06-12T18:28:26.356622Z"
+     "end_time": "2023-06-26T19:06:24.777068Z",
+     "start_time": "2023-06-26T19:06:24.775416Z"
     }
    }
   },
@@ -472,8 +472,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:26.829891Z",
-     "start_time": "2023-06-12T18:28:26.613128Z"
+     "end_time": "2023-06-26T19:06:25.033011Z",
+     "start_time": "2023-06-26T19:06:24.775553Z"
     }
    }
   },
@@ -496,8 +496,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:27.036829Z",
-     "start_time": "2023-06-12T18:28:27.025861Z"
+     "end_time": "2023-06-26T19:06:25.037247Z",
+     "start_time": "2023-06-26T19:06:25.033497Z"
     }
    }
   },
@@ -533,8 +533,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:27.892020Z",
-     "start_time": "2023-06-12T18:28:27.648769Z"
+     "end_time": "2023-06-26T19:06:25.303692Z",
+     "start_time": "2023-06-26T19:06:25.039178Z"
     }
    }
   },
@@ -545,7 +545,7 @@
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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ERETpxmKSiIiIiIiI0o3FJBEREREREaUbi0kiIiIiIiJKNxaTRERERERElG4sJomIiIiIiCjdWEwSERERERFRurGYJCIiIiIionRjMUlERERERETpxmKSiIiIiIiI0o3FJBEREREREaUbi0kiIiIiIiJKNxaTRERERERElG4sJomIiIiIiCjdWEwSERERERFRurGYJCIiIiIionRjMUlERERERETpxmKSiIiIiIiI0o3FJBEREREREaUbi0kiIiIiIiJKNxaTRERERERElG4sJomIiIiIiCjdWEwSERERERFRurGYJCIiIiIionRjMUlERERERETpxmKSiIiIiIiI0o3FJBEREREREaWbdXYHIKJXdDHxOHn4GqIitbDPYQf32mXhkNM+u2MREREREaWJxSRRNhMRbF5zHHu2nIFarYZenwg7OxusWXoIPgHVEBjqAZVKld0xiYiIiIhMsJgkymab1xzH3q1nkZiQDCAZAKCPTwQA7N16FgAQ1L52dsUjIiIiIkpThtpMxsXFKf8/KioK69atw3fffYcXL15kNBfRf4IuJh57tpxBgj4pzekJ+iTs2XIGOm18FicjIiIiInq7d3oy+fLlSwwYMAAvX77E999/D61Wi4CAADx8+BAigiVLlmD9+vUoXrx4Zucl+lc5fewG1Go1jE8k06JWq3H66A14NamYdcGIiIiIiP7GOz2ZnDdvHk6dOgVPT08AwObNm/HgwQMMGTIEa9asgVqtxrx58zIzJ9G/0ovnOuWV1jdJ0CfixXNdFiUiIiIiIvpn3unJ5E8//YSQkBD069cPAHDw4EHkzZsXnTp1AgC0bdsWq1evzryURP9SuZ0cYGdv89aC0tbOBrmdHLIwFRERERHR33unJ5ORkZEoU6YMACAmJga//fYbPDw8lOl58uQxaU9JRGlzr10WBoPhrfMYDAa4e5bNokRERERERP/MOxWTBQsWREREBIBXTyWTk5NRr149Zfr58+dRuHDhTAlI9G/mkNMePgHVYGuX9ksCtnbW8AmoBgdHjjdJRERERJblnV5z9fLywjfffAOtVovdu3cjV65cqF+/Ph4/fozly5djx44d6NWrV2ZnJfpXCgx99VTfOM5kgj4RtnY2MBgMaNLSTZlORERERGRJ3qmYHDJkCOLi4rB582YULFgQ48aNg729PW7cuIF169ahWbNm6Nq1a2ZnJfpXUqlUCGpfGz4t3XD5XBiiIrWwz2EHd8+yfCJJRERERBbrnYpJW1tbTJo0CZMmTTL53NnZGb/88gsKFCiQKeGI/kscctqjkV8VAEB0NNscExEREZFle6c2k6Ghofj1119TfW5ra4sCBQrgp59+QtOmTTMcjoiIiIiIiCzTP3oyGRcXh6ioKOXfp0+fxmeffYaSJUummtdgMODIkSO4d+9e5qUkIiIiIiIii/KPi8kWLVogJiYGwKs2XlOmTMGUKVPSnF9ETIYKISIiIiIion+Xf1RMOjk5YebMmbh8+TJEBIsXL8Znn30GjUaTal61Wg0nJye+5kpERERERPQv9o874Klbty7q1q0LAHjw4AGCg4NRqVIlswUjIiIiIiIiy/VOvblOnTo1s3MQERERERHRe+SdikkAOHLkCHbu3Ilnz54hOTk51XSVSoVvvvkmQ+GIiIiIiIjIMr1TMblu3TpljMm8efPC1tY2U0MRERERERGRZXunYnLNmjVwdnbG8uXLkS9fvszORERERERERBZO/S4/9PDhQ7Ru3ZqFJBERERER0X/UOxWTJUqUwLNnzzI7CxEREREREb0n3qmY7NatG7799lvcvHkzs/MQERERERHRe+Cd2kyeO3cODg4O8PPzw0cffQQnJyeoVCqTedibKxERERER0b/XOxWTR48eBQAUKlQIcXFxuH//fqaGIiIiIiIiIsv2TsXkTz/9lNk5iIiIiIiI6D3yTm0miYiIiIiI6L/tnZ5MhoaG/qP51qxZ8y6/noiIiIiIiCzcOxWT9+7dS/WZwWBAVFQU9Ho9ihYtijJlymQ4HBEREREREVmmTG0zmZycjEOHDmH06NHo3LlzhoIRERERERGR5crUNpNWVlbw9vZGUFAQZs2alZm/moiIiIiIiCyIWTrgKVWqFP744w9z/GoiIiIiIiKyAJleTCYkJOCHH35A3rx5M/tXExERERERkYXI1N5cExISEBYWhpcvX6Jv374ZCkZERERERESWK9N6cwVetZksXbo0fH190aZNmwwFIyIiIiIiIsuVqb25EhERERER0X/DOxWTRsnJybhy5Qru378PW1tbFC5cGC4uLpmVjYiIiIiIiCzUOxeTP//8M8aPH4/Hjx9DRAAAKpUKBQoUwBdffIH69etnWkgiIiIiIiKyLO9UTJ49exZ9+/ZF3rx5MWDAAHz88ccQEdy5cwfr169Hv379sGbNGlSpUiWz8xIREREREZEFeKdicuHChShatCg2b96MnDlzmkxr06YNAgICsHTpUixfvjxTQhIREREREZFleadxJi9duoSgoKBUhSQAODo6IjAwEBcvXsxwOCIiIiIiIrJM71RM/h2VSoXExERz/GoiIiIiIiKyAO9UTFaqVAmbN29GbGxsqmlarRbff/89KlSokOFwRGQ5dDHx+HHHeWxYdQQ/770EXUx8dkciIiIiomz0Tm0m+/Tpg9DQUPj6+iIkJASlSpUCAKUDnsePH2P8+PGZmZOIsomIYPOa49iz5QzUajX0+kTY2dlgzdJD8AmohsBQD6hUquyOSURERERZ7J2KSTc3NyxcuBATJkzAjBkzlAtJEUH+/PkxZ84c1KhRI1ODElH22LzmOPZuPYvEhGQAyQAAffyr19j3bj0LAAhqXzu74hERERFRNnnncSYbNGiAevXq4erVq7h37x4AoGjRonBxcYG19Tv/WiKyILqYeOzZcub/C8nUEvRJ2LPlDHwC3ODgaJ/F6YiIiIgoO71zBzwPHjzA3LlzUbJkSfj4+MDHxwenTp3C7NmzERkZmZkZiSibnD52A2r12w8TarUap4/eyKJERERERGQp3qmYvHHjBvz9/bF69Wo8fPhQ+fzly5dYt24dWrRogYiIiEwLSUTZ48VznfJK65sk6BPx4rkuixIRERERkaV4p2Jy9uzZcHBwwO7du+Hs7Kx8PnjwYOzevRs2NjaYNWtWpoUkouyR28kBdvY2b53H1s4GuZ0csigREREREVmKdyomf/vtN3To0EHpxTWl4sWLIyQkBGfOnMloNiLKZu61y8JgMLx1HoPBAHfPslmUiIiIiIgsxTsVkwaDAfHxbx5jTkTeOp2I3g8OOe3hE1ANtnZpd6pla2cNn4Bq7HyHiIiI6D/onYpJV1dXbNy4ES9fvkw1TafT4fvvv0elSpUyHI6Isl9gqAeatHSDja0V7OxtoFIBdvY2sLG1QpOWbggM9cjuiERERESUDd5pDI8+ffogJCQEvr6+aNasGUqWLAmVSoXw8HDs3r0bT58+xdSpUzM7KxFlA5VKhaD2teHT0g2Xz4UhKlIL+xx2cPcsyyeSRERERP9h71RMVqpUCatXr8b06dOxcuVKk2nOzs6YOnUqKleunCkBicgyOOS0RyO/KgCA6Oi4bE6Tmi4mHicPX/ur2K1dFg45LafYtfR8REREROn1TsUkALi5ueH777/H8+fPcf/+fRgMBhQuXBgFChTIzHxERG8lIti85jj2bDkDtVoNvT4RdnY2WLP0EHwCqiEw1AMqlYr5iIiIiDLZOxeTRk5OTnBycsqMLERE6bZ5zXHs3XoWiQnJAJIBQBkbc+/WswCAoPa1syuexecjIiIielfv1AEPEZEl0MXEY8+WM0jQJ6U5PUGfhD1bzkCnzZ7epS09HxEREVFGsJgkovfW6WM3oFa//TCmVqtx+uiNLEpkytLzEREREWUEi0kiem+9eK5TXhl9kwR9Il4812VRIlOWno+IiIgoI1hMEtF7K7eTA+zsbd46j62dDXI7OWRRIlOWno+IiIgoI96pmDx27NhbpyckJGDmzJnvFIiI6J9yr10WBoPhrfMYDAa4e5bNokSmLD0fERERUUa8UzHZpUsXTJgwAfHxqTuNOH/+PPz8/LBq1aoMhyMiehuHnPbwCagGW7u0O6a2tbOGT0A1ODhmz3iOlp6PiIiIKCPeqZgMCgrC+vXr0aJFC1y8eBEAEB8fj8mTJ6Ndu3aIiorCpEmTMjUoEVFaAkM90KSlG2xsrWBnbwOVCrCzt4GNrRWatHRDYKgH8xERERGZwTuNMzlx4kQ0atQIY8aMQdu2bdGqVSscO3YMERERCAgIwODBg5E7d+5MjkpElJpKpUJQ+9rwaemGy+fCEBWphX0OO7h7lrWIJ36Wno+IiIjoXb1TMQkAtWvXxrZt25SnlCqVCkOHDkXHjh0zMx8R0T/ikNMejfyqAACio+OyOU1qlp6PiIiIKL3euTfX48ePo3Xr1oiIiIC3tzeKFi2KmTNnYvz48dBqtZmZkYiIiIiIiCzMOxWTAwYMQJcuXRAbG4vFixdjwYIF2LlzJ9q0aYONGzeicePG2L17d2ZnJSIiIiIiIgvxTsXk3r170aJFC+zevRsNGjQAAHzwwQcYPXo0vv32Wzg6OmLw4MGZGpSIiIiIiIgsxzu1mVy+fDk8PT3TnFa1alXs2LEDixYtylAwIiIiIiIislzv9GTyTYWkkZ2dHQYNGvROgYiIiIiIiMjyvdOTydDQ0L+dR6VS4ZtvvnmXX09EREREREQW7p2KyXv37qX6zGAwICoqCnq9HkWLFkWZMmUyHI6IiIiIiIgs0zsVkz/99FOanycnJ+PQoUMYPXo0OnfunKFgRESUdXQx8Th5+BqiIrWwz2EH99pl4ZDTPrtjKSw9HxER0X/ROxWTb2JlZQVvb29cvHgRs2bNwsaNGzPz1xMRUSYTEWxecxx7tpyBWq2GXp8IOzsbrFl6CD4B1RAY6gGVSsV8RERElMo7dcDzd0qVKoU//vjDHL+aiIgy0eY1x7F361kkJiRDH58ICKCPT0RiQjL2bj2LzWuOMx8RERGlKdOLyYSEBPzwww/ImzdvZv9qIiLKRLqYeOzZcgYJ+qQ0pyfok7BnyxnotPFZnOwVS89HRET0X5epvbkmJCQgLCwML1++RN++fTMUjIiIzOv0sRtQq9UAkt84j1qtxumjN+DVpGLWBft/lp6PiIjovy7TenMFXrWZLF26NHx9fdGmTZsMBSMiIvN68Vz36tXRt0jQJ+LFc10WJTJl6fmIiIj+6zK1N1ciInp/5HZygJ29zVsLNls7G+R2csjCVH+x9HxERET/dWbpgIeIiCyfe+2yMBgMb53HYDDA3bNsFiUyZen5iIiI/uv+0ZPJN7WRfBuVSoVvvvkm3T9HRERZwyGnPXwCqmHv1rNpdnJja2eNJi3d4OCYPeM5Wno+IiKi/7p/VEy+qY0kERG93wJDPQBAGccxQZ8IWzsbGAwGNGnppkxnvr+ni4nHycPXEBWphX0OO7jXLguHnJZT6Fp6PiIiev+oRESyO4SlMhgEkZHa7I5hIleuDwAA0dFx2ZwkbcyXMcyXMcz37nQx8bh8LuyvQsOzrEU98bPkfCKCzWuOKwWvXp8Iu/8veH0CqiEw1AMqlYr5/gFL3kcA5sso5ssY5ssY5ns3efM6Qq1+8zniHz2Z/OOPP1C0aFHkzJkz04IREZHlcMhpj0Z+VQBY3okMsOx8m9ccx96tZ5GYkAzjMCbGToP2bj0LAAhqXzu74ll8PiIien/9ow54/P39cfjwYZPPkpKScObMGcTExJgjFxERkcXTxcRjz5YzabbpBIAEfRL2bDkDnTY+i5O9Yun5iIjo/faPism03oSNiYlBaGgorly5kumhiIiI3genj92AWv32U6larcbpozeyKJEpS89HRETvtwwNDcLmlkRE9F/24rnureNgAkCCPhEvnuuyKJEpS89HRETvN44zSURE9I5yOznAzt7mrfPY2tkgt5NDFiUyZen5iIjo/cZikoiI6B251y4Lg8Hw1nkMBgPcPctmUSJTlp6PiIjebywmiYiI3pFDTnv4BFSDrV3anaPb2lnDJ6Batg1jYun5iIjo/faPhgYBgDt37uDMmTPKv429uF6/fh3W1mn/mmrVqmUwHhERkWULDPUAAGUcxwR9Imz/fxzHJi3dlOnMR0RE/zYq+Qe96Dg7O6c5oLGIvHWg42vXrmUsXTYzGASRkdrsjmHCUgc0NWK+jGG+jGG+jGG+jNHFxOPyuTBERWphn8MO7p5lLeqJn6XnAyx/HTNfxjBfxjBfxjDfu8mb1xFq9ZvrvX/0ZLJPnz6ZFoiIiOjfyCGnPRr5VQFgeRcDgOXnIyKi9w+LSSIiIiIiIko3dsBDRERERERE6cZikoiIiIiIiNKNxSQRERERERGlG4tJIiIiIiIiSjcWk0RERERERJRuLCaJiIiIiIgo3VhMEhERERERUbqxmCQiIiIiIqJ0YzFJRERERERE6cZikoiIiIiIiNKNxSQRERERERGlm3V2ByAiIiLSxcTj5OFriIrUwj6HHdxrl4VDTvvsjkVERG/BYpKIiIiyjYhg85rj2LPlDNRqNfT6RNjZ2WDN0kPwCaiGwFAPqFSq7I5JRERpYDFJRERE2WbzmuPYu/UsEhOSASQDAPTxiQCAvVvPAgCC2tfOrnhERPQWbDNJRERE2UIXE489W84gQZ+U5vQEfRL2bDkDnTY+i5MREdE/wWKSiIiIssXpYzegVr/9UkStVuP00RtZlIiIiNKDxSQRERFlixfPdcorrW+SoE/Ei+e6LEpERETpwWKSiIiIskVuJwfY2du8dR5bOxvkdnLIokRERJQeLCaJiIgoW7jXLguDwfDWeQwGA9w9y2ZRIiIiSg8Wk0RERJQtHHLawyegGmzt0u5c3tbOGj4B1eDgyPEmiYgsEYcGISIiomwTGOoBAMo4kwn6RNja2cBgMKBJSzdlOhERWR4Wk0RERJRtVCoVgtrXhk9LN1w+F4aoSC3sc9jB3bMsn0gSEVk4FpNERESU7Rxy2qORXxUAQHR0XDanISKif4JtJomIiIiIiCjdWEwSERERERFRurGYJCIiIiIionRjMUlERERERETpxmKSiIiIiIiI0o3FJBEREREREaUbi0kiIiIiIiJKNxaTRERERERElG4sJomIiIiIiCjdWEwSERERERFRurGYJCIiIiIionRjMUlERERERETpxmKSiIiIiIiI0o3FJBEREREREaWbdXYHICIiIrJ0uph4nDx8DVGRWtjnsIN77bJwyGmf3bGIiLLVv66Y/OWXXzB//nzo9Xo4Oztj6tSpsLW1ze5YRERE9B4SEWxecxx7tpyBWq2GXp8IOzsbrFl6CD4B1RAY6gGVSpXdMYmIssW/6jXXe/fuYcSIEZg3bx52794NEcH69euzOxYRERG9pzavOY69W88iMSEZ+vhEQAB9fCISE5Kxd+tZbF5zPLsjEhFlm39VMXngwAE0bNgQJUqUAACMHj0aTZo0yeZURERE9D7SxcRjz5YzSNAnpTk9QZ+EPVvOQKeNz+JkRESW4V9VTN69excqlQq9e/dG8+bNMW/ePOTMmTO7YxEREdF76PSxG1Cr336ppFarcfrojSxKRERkWf5VxWRSUhKOHj2KsWPHYuvWrYiLi8PChQuzOxYRERG9h1481716tfUtEvSJePFcl0WJiIgsy7+qA578+fOjevXqKFiwIACgadOmWLFiRTanIiIiovdRbicH2NnbvLWgtLWzQW4nhyxMlTZL723W0vMR0bv5VxWT9evXR79+/fDs2TPky5cPP//8M8qXL5/dsYiIiOg95F67LNYsPfTWeQwGA9w9y2ZRotQsvbdZS89HRBljka+5Xrt2DS4uLnj06FGqabt27ULTpk1RsWJFNGnSBNu3b1emVahQAQMGDECHDh3QuHFjvHjxAn369MnC5ERERPRv4ZDTHj4B1WBrl/a9d1s7a/gEVIODY/Y9YbP03mYtPR8RZYxKRCS7Q6R0+/ZtdOzYEY8fP8Yvv/yCQoUKKdP27NmDgQMHon379qhduzYOHjyIDRs2YP78+WjcuHGmZxERJCYmZ/rvzQhraysAQFKSZeUyYr6MYb6MYb6MYb6Ms/SMzJd+IoJ1yw9j27qTUKtV0OsTYWtnAzEI/NvWQNuu9bLtyZr2ZRzaN5uHhIS0e5sFAFtba3yzawAcs+GVUkvP9zpL3P5SYr6MYb53Y2Nj9dZjnMW85pqUlISNGzdi9uzZsLGxSXOeuXPnokmTJhgxYgQAwNPTE9HR0WYrJomIiOi/TaVSIaSbF1oE18Cvv1xHVKQWufLkgEf9T7O9ADr+8zWo1G8vZFVqFY7/9Dsa+VXJolR/sfR8KWlfxpmuX69ycPzwg2zNRPQ+sJhi8ty5c5g1axY6d+6MggULYvTo0SbTIyIiEB4ejoEDB5p83qhRI+zduxcREREoXrx4pmYSAaKj4zL1d2ZUrlyvDmyWlsuI+TKG+TKG+TKG+TLO0jMyX8Z81swVwKt8yQbJ9pwP77/4R73NPrz/IluyWno+4M1tOpfN2WdxbTotff9gvoyx1Hx58zribbuAxbSZ/Pjjj3Hw4EH06dMHVlZWqabfuXMHAPDRRx+ZfF6yZEkAQFhYmPlDEhEREVkIY2+zb5Odvc1aej6AbTqJMspiisl8+fIhb968b5weExMDAHB0dDT53MHh1QFIq9WaLxwRERGRhXGvXRYGg+Gt82Rnb7OWnk8XE489W84gQZ92m84EfRL2bDkDnTY+i5MRvT8sppj8O3/XT5Ba/d78KUREREQZZum9zVp6vtPHbvzt9aNarcbpozeyKBHR+8di2kz+nZw5cwIAdDqdyefGJ5LG6URERET/FYGhHgCgtPlL+P/eZg0GA5q0dFOmM19qL57r/lGbzhfPdW+dh+i/7L0pJo1tJcPDw6HRaJTP7969azKdiIiI6L9CpVIhqH1t+LR0w+VzYYiK1MI+hx3cPctm6/iX70M+Y5vOtxWU2d2mk8jSvTfFZMmSJVGsWDHs27cPn332mfL5/v37UapUKRQpUiQb0xERERFlH4ec9srwGpbWGyRgmfnca5fFmqWH3jpPdrbpJHofvDfFJAD07t0bI0aMQK5cuVCvXj0cOnQIe/fuxdy5c7M7GhERERG9R4xtOvduPZtmJzy2dtZo0tIt25+gElmy96qYbNmyJRISErBq1Sp8//33KF68OKZPnw4fH5/sjkZERERE7xlLbtNJ9D6wyGKyZcuWaNmyZZrTgoODERwcnMWJiIiIiOjfxpLbdBK9DyyymCQiIiIiyiqW2KaT6H3AwRmJiIiIiIgo3VhMEhERERERUbqxmCQiIiIiIqJ0YzFJRERERERE6cZikoiIiIiIiNKNxSQRERERERGlG4tJIiIiIiIiSjcWk0RERERERJRuLCaJiIiIiIgo3VhMEhERERERUbqxmCQiIiIiIqJ0s87uAERERERE9Ga6mHicPHwNUZFa2Oewg3vtsnDIaZ/dsRSWno/Mh8UkEREREZEFEhFsXnMce7acgVqthl6fCDs7G6xZegg+AdUQGOoBlUrFfH/D0otdS8/3NiwmiYiIiIgs0OY1x7F361kkJiQDSAYA6OMTAQB7t54FAAS1r51d8Sw+n6UXu5ae759gm0kiIiIiIguji4nHni1nkKBPSnN6gj4Je7acgU4bn8XJXrH0fIBpsauPTwTkVbGbmJCMvVvPYvOa49mW7X3I90+wmCQiIiIisjCnj92AWv32S3W1Wo3TR29kUSJTlp7P0otdS8/3T7GYJCIiIiKyMC+e65RXRt8kQZ+IF891WZTIlKXns/Ri19Lz/VMsJomIiIiILExuJwfY2du8dR5bOxvkdnLIokSmLD2fpRe7lp7vn2IxSURERERkYdxrl4XBYHjrPAaDAe6eZbMokSlLz2fpxa6l5/unWEwSEREREVkYh5z28AmoBlu7tAdfsLWzhk9ANTg4Zs8QEpaez9KLXUvP90+xmCQiIiIiskCBoR5o0tINNrZWsLO3gUoF2NnbwMbWCk1auiEw1IP53sDSi11Lz/dPcZxJIiIiIiILpFKpENS+NnxauuHyubC/BrX3LGsRRYal5zMWs8ZxHBP0ibC1s4HBYMj2Yvd9yPdPsJgkIiIiIrJgDjnt0civCgAgOjoum9OkZqn5LL3YtfR8/wSLSSIiIiIi+tey1GLXyNLzvQ3bTBIREREREVG6sZgkIiIiIiKidGMxSUREREREROnGYpKIiIiIiIjSjcUkERERERERpZtKRCS7Q1gqEYGlLR2V6tV/LS2XEfNlDPNlDPNlDPNlnKVnZL6MYb6MYb6MYb6MYb53o1K9GsLkjdNZTBIREREREVF68TVXIiIiIiIiSjcWk0RERERERJRuLCaJiIiIiIgo3VhMEhERERERUbqxmCQiIiIiIqJ0YzFJRERERERE6cZikoiIiIiIiNKNxSQRERERERGlG4tJIiIiIiIiSjcWk0RERERERJRuLCaJiIiIiIgo3VhMEhERERERUbqxmMxmIgIAMBgM2ZyEiP6tjMcZejc8PhO93yz1GGipuYjSg8VkNoqJiUGrVq1w//59qNWWvyp40Pt3s+T1a8kX88blZonLLzY2Fr/99htUKpVFL8Pk5OTsjvBGycnJUKvViI+PR0RERHbHMREbG4udO3fixYsX2R3ljQwGg0XuG2QelrSu4+PjcfXqVRgMBqhUquyOk0psbCxmzpyJq1evZneUN7Lk89v75t+8DC2/gvmX0mq1CAgIgEqlgr29fXbHSdPVq1dx4MABnDx5EsBfF/SWfFFK/9yDBw9w6tQpbN++HZGRkdkdJ5XY2Fhs374dAKBWqy1uu0tOTkZSUhKioqIAwOIuVkQE06ZNQ3BwME6cOGGRy9DIysoKcXFx2L9/v0WdcA0GA6ysrBAbG4uWLVvim2++QWxsbHbHUqxcuRJDhgzBDz/8gJcvX2Z3nFTi4uIwaNAg/Prrrxa77b1PLGnfiIuLw7JlyzBkyBBMmTIFJ06cUIo2S8gpIujduzd69uyJ8+fPW0Sm1/36669YtWoVVq5cievXr2d3nFR0Oh369OmDR48eWdz5zSghIQHh4eHZHeON9Ho9bt++DQAWs2+Yg3V2B/gv0mq18PPzQ7FixTBjxgzkzZvXZLqIWMSOe+vWLRw4cAB3795Fjhw5oNFo0KlTJ5QqVSq7o1EGXbhwAaNGjUJkZCSio6NRqFAh/O9//4OPjw9sbW2zOx4AYMWKFViyZAkSExMRFBSkFEOW8BRfp9Nh8uTJ+OOPPxAdHQ0fHx907doVH374ocXsvyqVCs2bN8f9+/fRpUsXfPXVV6hdu7bFLMPXjRkzBr/99hu8vb2zOwoAKMspMTERy5YtQ968edG+fXt88MEH2R1N0bdvXzx+/BgzZ86EwWBAy5Yt8eGHH2Z3LMWzZ89w8OBB3L17FyNGjEDVqlUtctuzRPHx8di3bx+ioqJQoEABeHt7w8bGJrtjAXh1DfP5558jMTERIoInT55gz5496N+/P4KCgizm+DdkyBD07t0bkydPxqhRo1C1alWLyGbUoEEDTJ06FSNGjEBycjJ69eoFjUaT3bEAvFrH7dq1w7Vr11CnTh20bt3aYs5tRklJSejSpQusra0xYsQIlClTJrsjmTAYDOjUqRNevnyJadOmwcXFRSkoLWk5ZgYe1bOYTqeDn58fSpQogRkzZqBAgQIAgJcvX0Kv1yMmJsZiNjI/Pz8sWrQImzdvhoeHB27dugU/Pz8sWbLEYu4EpfV6nCXc+bGEDG9y9uxZtG/fHu7u7pg1axbmzZuHIkWKYOrUqbhz5w4Ay8j/8ccfA3hVZKxatQqAZTyhNL5VcOvWLZQtWxYlS5bE8uXLMXHiRACW9YTSzc0N/fr1Q/Xq1dG1a1ccO3bMIpZhWtq1a4fIyEisX78+u6MAeLWtJSQkYMKECTh48CCcnZ1RvHjx7I6VyqRJk+Dr64tZs2Zh69atFvWEsnjx4ti+fTuioqIwadIknDt3ziK3PUuj1WoRFBSEr776CvPmzcOiRYtw5cqV7I4F4K+b4U5OTvjyyy+xdetWbN26FdbW1li/fj20Wm12R1Q4Oztj2bJlJtufJZzbgL/Osf7+/pg8eTJ+/PFHLFmyxCKeUGq1WjRr1gyOjo4oUqQIHj9+DMCyzm0AYG1tDTc3N9y4cQOLFy/GjRs3sjuSCbVajT59+uDp06eYNm2asg//K59QCmWpgwcPikajke+//1757KeffpLPP/9c6tatK/Xq1ZNFixbJnTt3sjHlX5KSkkREJDk5WV68eCHTp0+XTz/9VAYNGiRXr17N1myJiYkiIhIXFye7du2SdevWybNnz5TPszOTyKtl9jrj8hQRMRgMWZIppTNnzoiLi4tMmTJFdDqd8vnvv/8uHh4eMmTIkCzP9CaXL1+W6tWrS9++faVcuXKycuVKZVp2LDsRkZiYGKlfv760b99ewsPDRUQkMjJSFi5cKBqNRnbs2JEtudKSclv87bffpEOHDuLs7CzHjh0TkbS3z6zy+ncnJSVJZGSk9OrVS7p06SIvX77MtnWcUkJCggwYMEDKly8vPj4+otfrRSR7l53xGGIwGEyW0fDhw8XFxUVWr14t0dHR2RUvTTdv3pR69epJ8+bN5fTp09m6/IzS2r5SLtvskpiYKN27d5eQkBC5fv26PH36VB49epRqvuxYhsbjX2hoaKpMhw8fFo1GI7/88kuW50opOTlZWTbG9Xjz5k2pW7eu+Pn5yZkzZ7J1/Rq/22AwmFwPbN68WTQajfTr10/++OOP7IonMTEx4uXlJSEhIfL06VPp0aOH9OjRQ0Sy97j3upRZli9fLtWrV5f+/fvL9evXszFV2s6cOSNubm4SEhIily9fVj63hHNcZmExmQ3GjBkjbm5u8vLlS7l48aJSnE2bNk1GjRolGo1Ghg8fLlFRUdkdVURSH0C+/fZbqVatmgwbNkwiIiKyJZNxJ4yJiZGmTZtKtWrVRKPRSJ06dWT37t0SHx+f5Zni4uKkV69e8vXXXyufpVx2xhPHn3/+KSdOnMjyfL/99pt8+umnMmfOHImJiTGZptVqpWXLljJgwIAsz/Umer1emjZtKmvWrJHhw4eLRqOR5cuXK9Ozev8wnmQ7dOggDx8+NJl28+ZNcXNzkwULFmRpppT0er3cv3//jdPPnj0roaGh4uzsLEePHhWR7Lk4MO67er0+1fFj3759otFolP0jq0+2aS0PvV4vkyZNEldXVxk2bJiy72T1souLi5P79+/L8+fP3zjP0KFDlYLyxYsXWZguNePyMd7USHlBnx0FZXx8vBw/flx++uknuXbtWqrpxuPz7du3ZcCAAaLVarM0n9GTJ0/Ex8dHNm7cqHx26tQpmTFjhowdO1ZWr14tsbGxIpK1+0dsbKxy/Hv27JnyuXE9Hj9+XFxdXeX48eNZlimlhISEt06/ceOGeHp6SvPmzeXMmTNZvv3pdDr55Zdf5OrVq2IwGJQbUylt2rRJNBqN9O3bN81t1NxiYmLEw8NDOnToII8fPxYRkWXLlombm5s8ffo0y/O8zevFuCUVlGnd0Dh79qxUq1ZNQkJC5NKlS8q8/5aCkm0ms1BiYiJsbGzQvn173LhxAz179oS9vT369u2LDh06KB3xVKhQAV988QXq1KmDJk2aZGnG5ORkWFlZmXxmbOOSkJAAW1tbhISEICkpCdOmTcPHH3+Mrl27Zmk7LGNGg8GAqVOnomDBgpgwYQKsra0xb948TJgwASKCBg0aZGnnRlFRUfj9999x9+5dfPDBB2jVqpXySqGIwMrKChEREfDx8UHDhg3h7u6ealmby7NnzzB69GjY2dmhTZs2cHR0hMFggMFggLW1NUQEkZGRqFy5cpbkeV1CQgIiIyNRuHBhAK/WscFggIODA/LmzYvBgwcDAGbNmoUPPvgAERERyJMnDzp06AA7Ozuz59Pr9QgJCYHBYMDChQvh6OgIEUFycjKsra2RL18+ODg4ZNurK3q9HoGBgXjy5Alq1qwJJycnuLm5oXTp0ihQoACcnJxQtWpVjB49GlOmTEHXrl2xfPnybGlDqVKpkJiYiNatWyMhIQFBQUEIDAxEjhw50KhRI9StWxdLliyBs7Mz8uTJk2W5kpKSYG1tjcTERERERCAhIQH29vYoVaoUhgwZAhHB/v37lTZOxn0oK5ZdQkICfH198eDBAxQuXBhubm7Inz8/ateuDScnJ5QsWRJ2dnaYPn06PvzwQ8ycORMqlQrNmjWDk5OT2fMBr5pwbNy4EWXKlMFHH32EnDlzIleuXLC2fnWZ8cknn+Crr75Ct27dMGHCBIwdOzbL2lBqtVp07NgRkZGRiIyMRM6cObF582YUKFAAarVaWffh4eH4/PPPUbFixSw7Nr/OYDAgOjpaeaXwxx9/xMCBA6HRaBAdHY3du3djw4YN+Prrr1GoUKEs2wZ/+eUXPHjwAOXLl1e2KeNyA4CDBw/CwcEBzs7OZs/yuri4OLRo0QKOjo7Inz8/6tati8KFC8PFxQVOTk6wsrJCmTJlsGrVKvTo0QMTJ07EqFGj4ObmBrVabfY2bElJSejcuTMuXLgAAPj000+RK1cu1KpVCyVKlECZMmVQrFgxBAUFIV++fOjZsydsbGzQqVMnuLi4mC1XSiKCr776CuXKlcOkSZOUJljly5dHUlISLl68iAYNGqR5jZhVUl6zqFQqWFlZKdfVXbp0gcFgUJrE9OrVC2XLls3SfMb9Ia39sWrVqliyZAl69OiB6dOnY9iwYahQocK/pg2lSrLr6uc/Ii4uDitXrkT79u2RM2dO5fNNmzZh5cqVePLkCRYtWgQPDw8Af22MnTt3hq2tLRYuXAgrK6ss2dCMB4nY2FgsW7YM9+7dg1qtRuXKldGiRQvkyJFDKSgBYPr06diwYQN++OGHLG9LpNfrsXnzZhw9ehR+fn5K0f3y5Uv0798fv//+O8aOHZtlBaXxhB4eHo7//e9/iIuLQ8eOHdGqVStlnj///BOBgYGoX78+xowZY7I9mFtSUhK+/PJL7Ny5E4UKFcKCBQuQK1cuZXqXLl0QERGBnTt3wtbWNksPbjqdDh07dkTjxo3RqVMnk2lTpkxROrsJDw/HqlWrsGHDBqhUKhw8eBBFixY1+8WUwWBAVFQU2rRpA5VKhS5duiAwMBDAX51lGfeFXbt2oWjRombL8ibPnj3DwIEDcfr0aVhbW+PDDz9ETEwMkpOTkT9/fnzyySf49NNPUbduXYSFhWHXrl04c+YM1qxZAzc3t2zplGfDhg24cOEC9u7di3LlysHT0xPdunXD3r178eWXX2Ly5MmoUqVKlly8GL9Dq9WiZ8+eePLkCR4+fIgPPvgAn3/+OTp16oQcOXJgypQpOHToEDw9PTF8+HDlpkJW7Cs9evTA4cOHYWtrq+y7T58+hZ2dHUqVKoUSJUqgUqVKqFixIubPn4+7d++iZ8+eaNKkidkLShFB9+7dceTIEdja2uKDDz5A4cKF8fHHH+Pjjz9G7dq1kSdPHhQvXhwRERHo2LEjnJycMHDgQLi7u5t120tISFBuOvXu3Rsigjx58uCTTz4xmS8iIgKNGzdGkyZNMG7cODg6Opot09totVoEBgaiQoUKmDlzJoKDg1GrVi2EhoYiV65cOHToEGbPng1ra2ts2bIlyzpMi4qKwt69ezF9+nR89tlnmDJlivLdixYtwrJly/DVV1+hZs2aWV5wXL9+Ha1atYJerwcAODo6QqvV4oMPPkCJEiVQvnx5VKxYUVnnPXv2RPny5dG9e3dUq1YtS459y5cvx4YNGxAVFYXixYsjf/78OHnyJJKSkuDo6IjcuXNDo9GgWbNm2LVrF44cOQI/Pz8EBQWhYsWKZs8HAOHh4XByckq17Tdu3BjlypXD3LlzsyRHWuLi4tC9e3fkzJkTFStWRJEiReDu7g4HBweTvF9//TUWL14MDw8P9OjRI8tubsTFxSEgIAD58uVTbmgUKVIEZcqUMbnWOnfuHHr37o1PPvkEQ4cOVdbt+15Qspg0s2XLlmHu3LkIDg7G4MGDTTb6fv364cmTJ1i6dCny5MljckHXrVs3GAwGrFixIktyGjdknU6Hli1bwsbGBkWLFsXjx4/x8uVLODo6Yv369XB0dFROFI8fP0b//v3h4uKCUaNGQaVSZdnOsHTpUmzYsAExMTHYsmULPvroI6XQ1Wq16Nu3L65du4axY8fCy8srS3pgNC6Xu3fvYsCAASYFZXJyMrp16wYHBwdMmTIlSy9UjNtVUlISvv76a6xfvx7FihXD8uXLYWdnh27duuHmzZv46quvUKZMmSwtLLRaLVq3bo3bt2+jTp06WLZsGYC/GvovX74cO3bswK5duwC8uqD+9ddfodfrMXz4cHTo0MGs+ZKSktCvXz/06tULdnZ2GDt2LKKiotCpUyflRsGiRYvw5ZdfYuHChfDy8srSCymdToeffvoJzZo1w507d7BgwQL88ssvmD59OnLmzIkHDx7g4sWLuHz5Mh48eIDo6GhYW1srd3gBYP369ahSpYpZc75pmYgI/vjjDyxYsADXr1+HjY0NunbtihkzZsDT0xOzZ882a66U9Ho9goODkSNHDrRr1w62tra4e/cupk+fjsDAQIwfPx7JycmYNm0aDh8+jPLly2P69OlmPbZotVps3boVoaGhEBEMHjwY58+fR9OmTfH555/j/v37+P3333Hq1Cn8+eefePLkCXQ6HXLlyqWs69GjRytvSZiD8Xhx5swZjBo1Co8ePUK5cuVQsmRJXL58GY8fP0ZsbCysra2h0WhQsWJF2NvbY/Xq1fDy8kLbtm1Rq1Yts+X7888/0b17dwwbNgxeXl5QqVS4cuUKLl68CL1ej4oVK8LNzQ3r1q3DH3/8gSFDhmRpj7hJSUl48eIF1Go17Ozs4ODggJ07d2LEiBHo06cPTp48iYEDByoXnXq9Hvv27cPkyZMxefJkfPbZZ1mWNSYmBj/88AOmT58Ob29vzJo1C0uWLMGSJUswY8YM+Pj4ZFkWI+O1y8WLFzFgwADkyZMH3t7e8PDwwC+//IJLly7hxo0bePjwIdRqNYoWLYoXL14gJiYGFSpUwPDhw1G1alWzZNPpdJg2bRrGjBkDW1tbfPPNN9i0aROKFSuGUaNGIVeuXLh58yZOnz6NW7du4ebNm7h79y5y5sypDNcVGBiIsWPHmu2mgV6vx7Vr1+Dq6grAtKgxHreXLl2KjRs3Yvbs2WZbVn9nz549GDp0KJKSkgAA+fPnR1RUFPLnz48qVaqgVKlSqFu3LsqVK4cvv/wS27Ztg6urK3r06JElTyjPnTuHtm3bKv92cHCATqdD7ty58fHHH6N8+fJwdXXFRx99hOfPn6Nnz56oU6cOunTpgkqVKpk9n9ll3Ru1/00XLlwQV1dX8fLykuHDh8vLly9Npt+7d09ExOT9+WfPnkmHDh1k4sSJkpSUlGXvVBsMBhk5cqS0atVK6VxERGTgwIGi0Wjk8OHDqTqQmTNnjgQFBWVZPqPw8HCZMGGCaDQak05jjO1zYmJipFOnTibtr7IiX8p2kf7+/tK4cWPZtGmTiIhcu3YtVVvFrJKy/dLy5cvFy8tLOnXqJB07dpT69evLlStXsjyTsQ1i9+7dZfjw4dK8efNU81y6dEn8/f1FRGTAgAFSs2ZN2b17t4wZM0Y0Go2sWbPGrBmjoqJk+PDhsnDhQhEROX/+vAQHB0ujRo1k3759smzZMnFxcZFdu3aZNcebdOnSRTp16iQir7a/P//8U9q1ayceHh5y5MgRZT69Xi/Pnj2TI0eOyJYtW6Rv374SEhIiLi4ucuvWLbNmNO4TWq1WpkyZIj179pSQkBBZs2aN3L59W0RetSe6deuWDBs2TAIDA6VGjRqi0WjkzJkzZs0m8tdx5ccffxRvb2+5ePGi8tmOHTtEo9HIzp075ffffxeRV8ty4MCB0rt3b7O3uxo/frw0atRIaQ9mMBikV69eUqtWLVmwYIHSri8pKUmSk5Pl1q1bcuDAAVmxYoV0795dWrRooSxjc4iNjZV27dop33H+/Hnx8vKSzp07y08//SRJSUny6NEj+eGHH+Srr76STp06SZ06daRq1aqi0WhEo9FIly5dJC4uzmwZz507JxqNRmmntHfvXqlYsaJ4enpKzZo1RaPRyJw5c+SPP/4wOb9lhZiYGOnevbv4+vqKh4eHTJ06VWJjY+Xhw4cyfPhwqVmzplSuXFlpA2bcDmJjY8XV1VVWrFiRpXlFRF6+fClr164VFxcXadSokVSoUEH27t2b5TnScvLkSfHy8pLAwECTtpsvX76UGzduyP79+2XcuHHyv//9T2rWrCk1atQwa78PmzZtkkqVKintD0VEVqxYoZx/X2/bp9Vq5fbt23LixAlZsGCBDB06VG7evGm2fCIiHTt2lObNm5ssr9evOa9duyaurq4yd+7cNKebU3x8vDx69EiSk5Nl1apV0qxZM6lfv77s3r1bNm7cKMOGDZNGjRpJpUqVRKPRiKurq3Ts2FE0Go3UqlVLOnfubNZjoE6nk7CwMBF51QlVrVq1pHXr1rJs2TI5deqUTJs2TT7//HOpXr26aDQacXFxkebNm0uVKlVEo9FI+/bts+X6K7OxmDSzW7duSfny5SUoKEi8vb1lxIgRqQqK+/fvy7x582T16tWyceNGGTRokFSrVs3sF3lp+fzzz2XMmDHKSXX//v3i7OwsGzdulIMHD8rKlStNTrgxMTHi7e0tp06dMlum10/wxoIxMjJSxo8fL1WrVpXx48enmh4dHS2TJk0yywWCVquVhQsXysaNG+XOnTvKTYGUbt26Jf7+/tKgQQOT3nuzq8H16wVlw4YN5dNPP1XWXVZ2SBATEyMNGjSQkJAQef78uezZs0fc3d1TnTjv3bsnNWvWlEaNGkn16tXl/PnzIvKqk4yJEyea/UQrIvLDDz9I/fr1lRPSuXPnJDg4WLkQPXTokIhkz3odNWqUBAQEmNyMCg8Pl9DQUHF3d5cjR46k2buxcV1nVSdGWq1WvL29pUWLFtK3b1/p1KmT1KtXT5o0aSIXL140mffs2bOyatUq6dChg1kv7l//3WvXrpUqVaooF5e7du0SjUYjX331ldy+fVsCAwOVAj0xMVFZhubcbxYtWiQeHh4m5wyDwSB9+/aVmjVrypw5c97Yc2tSUpJJj83mcODAAXFxcTG5+Xjq1Cnx8vISf39/OXjwoMn8er1eDAaDXL16VX788UeZMWOG2c9z9+/flwYNGsjq1aslLCxMvL29ZeHChRIeHi7h4eHKDaF58+aZNcfr4uLixNfXVz7//HP55ptvZOLEiXL48GFl+m+//Sbdu3cXjUYjM2bMMPnZu3fvio+Pj+zcudNs+d52PIuJiZF169ZJnTp1JCgoKFs6ytLpdHLp0iW5fPmyvHz5UjkGnjhxQry8vKRly5ayb9++N/6O+/fvS2RkpFlzGnu4vXHjhsnnq1evlvr166cqKF8/lmRFz/QTJ04UjUYj3bp1S7OgNP53yZIlUr58eeV6ISvWeWJiovj6+sqcOXNE5NXyWbFihTRq1Eg6dOigHBefPXsmkZGRcuDAAVm8eLH07t1b6tWrJ59++qlUqVIlzd6QM0NSUpIEBwfL8OHDlc8OHDggnp6eEhISYnJui4yMlAsXLsi2bdtk4MCB0rVrV3F1dRV3d/e3dpz3vmAxmQW6d+8uP/74o0yfPl1q164tw4cPVw58z58/lydPnkhQUJCUL19e6tatK+3atcvyrqGTk5MlLi5O6tWrJ+PGjRORvy6mlixZIiIiX3zxhfj7+yu9BBrvhnfq1EkOHDhgllzGCz6dTiezZ8+W3r17S0hIiKxfv14iIyMlJiZGxo8fL+7u7iYF5es9u2XmQdlgMMi4ceOUO+vu7u5Sq1Yt6dSpk0yYMEF27dql9MQWGRkpLVu2FH9/f/nuu++U35FdXWwbl2dCQoKsXLlS6tatK+3btzdZp+am0+nEzc3NpMe4W7duKU+AjIw93nXv3l38/f3l3LlzJr/n73rvy6iUy2Lo0KESHBysXJz/9ttv0rp1a6lTp47JjYKsXq/z5s0TT0/PVEVDeHi4tG/fXqpXry5HjhwxOfEbDIZUPc2Zk8FgkPHjx4u/v79EREQo3zlkyBClGH/bE3tzbpOxsbHKNrdp0yapUKGCPHz4UOlVdtmyZSLy6s58xYoVTda1iPnWt3EZ7dmzR6pUqSIPHjwQkb+OY8aC0sPDQ+bOnassv6we2iIsLMzkyZRxeZw5c0Z5QrR//35l/pRPWFPOb259+/aVRo0ayYkTJ6Rr164mxa+IyNy5c8XFxSVLe4HcsmWL+Pr6mjw1iYqKkitXrsi9e/ckKSlJ7t69K926dRONRiMjRoyQw4cPyy+//CLDhw+XWrVqpXkTM6NSrpO3DZ9ifEJZvnx5GTRoUJatS51OJ2PGjJGWLVuKRqMRZ2dnqV+/vgwePFjpcTTlE8qU1yZZPWzYrVu3pEKFCspwTCm/f/Xq1dKgQQPp1KmTUmxmxw3JtWvXSrly5cTFxUUCAgLk119/VaalXKc3b96UkJAQCQ0NzbL9RKvViq+vr8yePdsk0+rVq8XLy0vatGkjT548SfNn9Xq93Llzx2yFpMir9RUYGCjDhg0z+fzAgQPi4eEhISEhJm8Ive727dsmPSO/z7K2x4X/KL1ej8uXL2Po0KHw8vLCyZMnMWXKFPTs2RNff/018ufPj/Xr12Pr1q1Yt24dFi9eDI1GY9ZMycnJJv9Wq9Wwt7eHl5cXfvnlF8yYMQODBg3CwIED0aVLFwCv2rHZ2dkpHdpYWVlBrVajRYsW+OijjzI9o/x/D6g6nQ5BQUE4duwYYmJiYGNjg/Hjx2Po0KF4+PAhBg4ciKZNm2Lv3r2YNGkSAMDGxsbkdxl7nMuopKQkqFQqNG/eHA0bNkTu3LlRvHhxdOrUCS9evMDu3bsxbNgwtGjRAh4eHpg5cyYKFy6M27dvY8uWLVi7di0AmKV9kLzW/Pn1f6f83piYGHTq1Ant27dHeHg4+vfvjxcvXii95JrTzZs30ahRI0ybNk3pMa548eJwdXXFjz/+iISEBBgMBqhUKtja2qJLly6YOXOm0q7P+He9vo4zQ8pllrKNX9euXZEnTx4cPHgQIoJKlSph5MiRKFKkCFasWIHNmzcDgNJ7r7klJCQAAMqWLYv4+HhlUGlj/uLFi2PixIlwdnbGkCFDcOzYMWWaSqVStgNztXFOuQxUKhXu3Lmj9FioUqmwb98+/PDDDxg7dixEBOvXr1f+pteZs/3ppEmTMG3aNACAn58fChcujFatWqF///4YMWIEunXrBuBVx1758uVDkSJFTH7eXO38jOvF2dkZOp0Ot2/fBvDqOJacnAyVSoX58+ejSpUq2Lx5M1asWAGtVgsrK6ss7cjhgw8+gL29vdK+y9gzoZubG2bMmIHIyEgsW7YMBw8eBPBqnzXu24D5lp+RcTscN24cRARdunTBnTt3kDt3bgB/nQfr168PGxsb3Lt3z6x5Unr27Bmio6OVzpF+/PFH+Pn5ISQkBM2bN0dISAgSExMxe/Zs9OnTB/v27UOfPn0watQoXL16FStXrsz0zr7i4uLwv//9DwcOHACQenB1Yxu6iIgI3LhxA23btsXw4cOxf/9+jBgxwuzHPmPnRGFhYfDy8sLq1auxZMkSlCtXDgcOHEBAQACuX7+O6tWrY/Lkyam2P2PP5VmlZMmSsLW1xdWrV5XvNy6jDh06ICQkBHfv3sW0adNw69atLB3M3vg9ZcuWRb169fDtt9/izp07mDVrFk6cOAHAdP/85JNP4O/vj0uXLmHt2rVITEw0e0YHBwcUKVIEly5dAvBqRAS1Wo3Q0FCEhobi0aNHGDBggHL8MWZKSkqCra0tPvroIxQsWNAs2YzHsQoVKuD27dsQEeUc1rBhQ4wbNw5hYWFYvnw5fv31V+XnkpKSlGVfunRp5M2b1yz5slxWV6//dinvPBnv4C1ZskT69u2rfD516lSpXLmylCtXLlsG+DVmjI2Nle+++06mTJmitCs8ceKE1K1bVzQajYwePVpEXt19iYiIkObNm8sXX3yRpVmTk5NlxIgREhwcLH/++aeSfcuWLVKtWjXp3r27vHjxQp4+faq0oVy1apVZssTFxUlwcLDyfvv58+elZ8+eUrduXeV1mri4ODl+/Lhs3LhRxo4dK76+vuLt7a08xfT19U3VbjYrJCcnK3c9d+3aJb6+vhIeHi6JiYmyYsUKadCggTRv3jxL2nTq9fo0nyrOmTNHqlSpooyjl9Xtl7RarYwZM0Y6d+4srVu3lhMnTih3ZhMSEmT8+PHSq1cvk5+5ePGiBAcHS9OmTeXbb781a76EhIRUYwfeuHFDypUrp7xqK2J6N/nu3bvSvn178fDwkEOHDmXJnW/jeouLi5OrV69KUlKSBAQESM+ePUXkVZs1jUYjS5cuFRGR2bNni5eXl9lfOUvLtWvXpGrVqkrbsx07dijt14yvwV26dEmCgoIkJCTErE9f4uPj5dq1a8qroCKvtsmUbXKNy9b4ZovxCWXdunVl6tSp2dImu1mzZsq54vUn3sYnlAEBAaleec1KBoNBjhw5Ii1atBAXFxfZtm2bydP8S5cuSd26dU2eypjbqlWrxMPDQ5KSkuT69etSsWJFmTx5shw+fFiWL18ufn5+4u7urryl9ODBAzlx4oRcvXrVbPvKw4cPRaPRSLNmzUxeuU3ZH8Ddu3fF1dVVxowZIyKvnlCuX79eNBqN8pk56PV6ad++vYSGhkp4eLjJ+SEhIUE2btwoXl5e4unpqbzxYnxC2bp1a9m9e7fZsom8emK6Z88e+fPPPyUyMlLJ17hxY5k2bZqI/LV/pGyWsGrVKmnUqJEEBQVlS9Om58+fi7u7u9y5c0euXbsmlSpVkqCgILl8+bIMHz5crl69ajL/smXL5M6dO2bNZDAYlGuEkSNHmvSnkLJ5gfF14bZt2ypP+LLiuiHleWDFihVStWpV5XiS8hyb8gllyr47/i1jS6bEYjITxMfHy5QpU5QN5PWN+ciRI1K7dm3lBDBgwACpWLGieHh4yJgxY7L0AsC4E8TExCiFTq1atWTMmDFK+6ndu3eLp6en+Pj4yNy5c2X69Oni7+8vfn5+Jq9ZZbbTp0/L9u3bTT6LjY2VoKAgk/Ysxu/+/vvvRaPRKB3c3Lt3L1Wbzsx07do1+fTTT00OChcuXJCuXbtK9erVTV5jNdLr9RIZGSlHjx6VTZs2ma0h+J9//infffeddO/eXTp16iR9+vSRAwcOyMOHD0Xkr21y9+7dyut7xoN1YmKizJ8/X/r27Wu2i+XY2FhZuHChUkin9SpVRESE1K5dWyZNmpTlB1udTieNGzeWVq1aycCBA6V9+/bK63nGLFFRUVKzZk2lCDK6ePGi+Pr6SkBAgNluFBjbV9WuXVuCg4NlxIgRsmnTJtm0aZPUr19f9u3bl+YyMxgMEh4eLv7+/tKwYUOztKFL+b3G9arVaqVBgwYybdo00ev1Mm3aNPHy8lLa53z11VfKBdX06dMlMDDQ7O37Xt+2k5KSJDo6Wvr37y/t2rWT2NhY0Wq1sm3bNvH29pZq1apJ3bp1pXHjxtK6dWtlfzHH8UWv10ujRo3E2dlZmjRpIqGhoTJlyhTZunWr1K1bV6ZPn/7G84TBYJBOnTqJt7e3WQtyrVYrK1askF9//dWkGUafPn2kffv2JvMam0CIvCoovb29xdvb26RAyWz/5Jhx4MABadasmdStW1fWrFkj9+/fl2vXrsnIkSOlQYMGJh2lmItx+3n69KlUr15dJk6cKAcPHpRhw4ZJbGysMt/x48elcePG0rdvX5PPzcW4vsLDw6VmzZrStGnTVOvrzz//FDc3Nxk4cKDJsS46Olo2bdpk1mLo3Llz0rhxY/n5559N9mXj/09KSpJt27ZJ1apVpWfPnkqnTmfOnJHKlStL+/btlQ6rMltiYqLy2q2rq6vUrl1b2rRpIzNmzBBvb2/p0KGD3Lhx441NM5YtWya+vr5Z1nbOuK/o9XrR6/Xi7+8vP/zwg4iIXL9+XVxdXaVWrVqi0WiUdn/mblYikvZr7+vXr0/VUZJxH0pZUIaGhr7xldfMkpiYmOo4c/DgQXFxcVGOHSmPfSJ/FZQdO3bMlodHWSVz3v37j/vjjz/wzTffQKfTYeLEibCyslJeBzEYDMifPz9sbW1hZ2eHkSNH4uTJk1ixYgX279+PzZs3w9bWFiNHjsyS4RjUajUSEhLQq1cvFChQACNHjsRHH30EtVqNqKgoPHjwAJ999hlKlSqFDRs2YOvWrShVqhQqVKiAMWPGwNra2mSg4swSGxuLtWvXwsnJCX5+fsrnL168wOPHj01en5H/f0UgMDAQO3bswA8//AB/f38ULVpUGafQHBnz5s0LKysrk1ehXF1d0bt3byxZsgQLFy6EWq1WhoxITEyEra0tnJycULt27UzNktL58+cxdOhQ5MqVCx9++CFsbW1x48YN9OvXD+7u7kq38sbBrwcNGoTOnTsrr2RaW1ujd+/eUKvVUKlUZhnaYs2aNVi0aBGePXumDJFjHFLA+MpbgQIF4O7ujpMnT+LevXsoXrx4lr2yt2zZMnzwwQeYP38+8uXLp2w7Wq1WGcYld+7cGD58OH744Qdcu3YN5cqVg4igYsWKmDZtGnLlymW2sUNv376NBg0a4PHjxwgPD8fJkyexfft2ODo64uXLl5g4cSJ27tyJjz/+GMWLF0eFChWQI0cOFC9eHEWKFMGSJUuQnJyMHDlyZHo243Zu3G4SExPx448/onDhwmjSpAlsbW0RGBiInTt3Yu3atQgMDETXrl0BvBrb7+TJk3B2djZLNiMRUY59Dx8+RMmSJWFlZYUPP/wQ/v7+6N69O44fP46GDRvC19cX9evXx+7du5Xjd4MGDWBlZWWW4wrw6rXl9u3bw2Aw4NSpU3jw4AG2b98OnU4Hg8GA7777Dj/++COcnZ1RpkwZlC1bFi4uLrC3t0fBggWxcuVKPH782GzjSYoIRowYgf379wN4dR7Jnz8/SpYsiejoaNjZ2WH//v2oUaMG1Gq1ydBHbm5umDBhAqZMmYLSpUubJR/w5le2jdtlZGQk4uLiMHnyZMyYMQPTpk3D5MmTlbFqlyxZorx2n9kSEhJw9uxZ1KpVS7k+yJUrF9q2bYtdu3bhp59+gouLCz744ANlG6tVqxa8vLywa9euVM1SzEGtViM5ORnFixfH2rVr0a5dO8yaNQtJSUlo0KABEhISMHjwYHh4eGD8+PEm6/jDDz9EYGCgWY/V586dw7Nnz+Dh4WFyraRWq5UmMU2bNsWpU6dw5MgRvHjxAoUKFYKbmxtWrlwJJycnODg4mCWbtbU1Ro0aBWtra+X8dePGDezcuRMigl9//RUtWrRAwYIFUbp0aZQpUwaurq7ImzcvChcujG7duiE4ONhsQ9Lo9XpcuHABz58/h7OzMwoWLAgHBwdluJFy5crhxIkTaNasGcqWLQs3NzccO3YMn3zyiTJ2pzmalaSk0+nQuXNnODk5oUSJEnB3d0fJkiWRI0cOaLVa6HQ6ZV7j9YnxlVcAWLBgAUaNGoWlS5eaXFdkltjYWISEhCivtpYpUwaffPKJMobk5cuXlfME8NeQSQ0bNoTBYMDAgQNha2uLatWqZclQdVmN40xmgrCwMDRv3hwigs8++wxz5sxJdVEeHByMP//8E8Crcenc3NyQmJiIOXPmoHXr1ihVqpRZM6bMYhzMesSIEfD09MSzZ8+wd+9erFixAvHx8ShcuDDmzZuHUqVKQafTmRyAzXUxBQAPHz5E4cKFERsbi9OnT6NevXpITExESEgI4uPj8fXXXyNPnjzK/AkJCejcuTMKFChg9vHokpKSkJycjKZNm6J58+bo16+fyTK9ePEilixZgsuXL2PAgAEICgoCALOP2Xj16lV06NABzZs3x+eff64MymwwGDB//nx89913yJ8/P+bOnYvnz5/jjz/+QLt27UyKxZQFm7mKt99++w0dO3ZEnjx5UL16dYwcORI5c+ZUlo/xeyMiIuDn54fmzZtj3Lhxyt9i7hstgwYNgk6nw5dffgkAOHToEJYuXYqnT5/CwcEBrVq1go+PD1QqldL2OTQ0FElJSbCyssrywYaNN37i4uIwffp0XL58Ga6urrh69arSbuTDDz+Eo6Mj6tSpg7Fjx5plGT569AiDBw/Gl19+CUdHRyQlJaFVq1Z48uQJatSogVmzZinz/vHHH+jUqRNy584NV1dX5MiRA6dPn4ZarcbmzZuV9kzmWpZJSUkICgqCVqtFixYt0LZtWzg4OMDGxkYZ83f+/PlvbGOT1QOxP3z4ENHR0Zg7dy6OHz+Oli1b4sSJE3jy5IlJ+9K6deti3rx5Zr9Aefz4MbRaLe7evYsHDx7gwoULiIyMRHh4OB48eAArKyvY2NigUKFCcHFxQfHixVG6dGk4OTmhRo0aMBgMmT5Wnl6vx/Hjx3H16lXExMTA3d0dNWvWVM5ZKcf+bd68OTp37ox+/foBAI4ePYpnz54hX758KFu2rNnaVgHA3Llz8dNPP2Hw4MGoW7eu8vm9e/cwY8YMHD16FBUrVsQ333wD4K/j8Pr167F69Wps2rTJ5NyX2VIeY/V6Pezs7HD79m00bdoUVatWRbdu3VC3bl2cOXMG5cqVy9Jxko3rcNGiRdi5cyd+/PFHJCYmpipujH/D5cuXERQUhOXLl8PT0zPbBoNPTEyETqfD+vXr8eWXX6Jnz564evUq7t69i7t37yr7cPHixbFx40az3QjSarUIDQ3FkydPEBMTg+TkZPj4+MDPzw8eHh4AgFmzZuHSpUtYs2YNhgwZghMnTmDQoEGYOnUqnJycMHnyZLi5uZkln9HevXvx7bff4uXLl3j27BlevHgBAChSpAgePHiAGjVqoFGjRnBycsInn3yCAgUKwMbGBvb29hARbN26FVWrVjXbtfSVK1ewcOFCGAwG/P7770o7TeP1cIUKFVCuXDllTMk8efKgRIkSys//+uuvKFSokFn6F7EEfDKZCXQ6HRITE9GgQQNcuHABgwYNwuzZs5W79MCrpxq5cuXC9OnT4erqCoPBABsbGwwbNszs+YwH47i4OFy5cgUffPABnj9/jvDwcHz99dc4cOAAzp07h6ZNmyJfvnw4fPgwNm7ciEGDBplcoIhIpheST548wc2bN+Hh4YHChQvDYDBg3rx5WLNmDaZOnQp/f38MGTIE3bp1wxdffIFx48YpB92IiAi8fPkSNWvWVPKZ66RhbW0Na2trFC5cGJcuXUp1YVmpUiX06tULS5Yswbx586BSqRAYGGjWIkin02HZsmWoXbs2evfurSwXY7YBAwYgX758mD9/PmbPno05c+agRo0aqX5PymVmruWXM2dOJCUlIV++fDh//jymTp2KkSNHmjyhFBEUL14cgwYNwvTp01GkSBF069bNrMvQuM0YBw4HgLNnz6Jv375o3rw56tati5s3b2LevHm4desWvvjiC2UQ6Vq1ainFuzkkJCQgLCwMz549Q7Vq1WBtba0sizx58igXlx4eHlCpVJg3bx6sra3x8OFDXLx4Effu3cOlS5fQunVrsy1DW1tbWFtbK0WCtbU1goKCMGXKFFy+fBl//PEHnJ2dAbzqTGbNmjXYsGEDzp8/DycnJ1SvXh3Dhg0z2xsPKVlbW6Njx444e/YsVqxYgQMHDsDT0xPdu3eHj48P5s6di7CwMBQsWDDNi9XMLiQTEhJw6tQp6HQ6FCtWDOXLlwcA5bsLFy6MwoULw9fXF8ePH0fXrl0xePBgJCUl4caNG7h9+zbCwsIQHBycJXe6CxYsiIIFC+Ljjz8GALRp0wZqtRo//vgj+vfvjyFDhiAqKgo3btzA6dOnsX//fiQmJsLJyQnbtm3L9GJNq9WiW7duiImJQWRkJKytrXHmzBkULVoU5cqVA/BqnYWFhaFdu3bw8vJCx44dleOjp6dnpuZ5m7x58+LmzZtYuXKl8qQPAIoVK4YBAwYgPj4eR44cwZAhQzB58mSo1Wq8fPkSp06dQqFChWBnZ5fpmeLj43HmzBl4enoqb6mICOzs7BAbG4vBgwejbNmyuHXrFqZNmwYbGxvUqlUr03O8ifG8YNzvChcujLt37+Lq1atwcXFJNb/xGOfg4ACVSqW8zWSuc1p8fDy2bduGqKgo5M+fH40aNcKHH36o7L9WVlbInTs3GjRogAULFqBChQro2bMngFc3Zu7fv4/w8HC4urqarZBMTEzEgAEDkCtXLuUttP3792Pt2rW4fPkyunfvjhYtWqBJkyY4ffo0QkNDcf36dSxevBhubm4oU6YMevfubdYbLUZNmjRBkyZNEBsbi/j4eNy8eRORkZG4fv06vvvuO5w8eRInT54EANjZ2SFPnjwoVqwYcufOjfr16yMgIMCs+cqXL49ly5YBeNUh28uXLxEWFoYbN25g2bJluHPnDp48eYL169cDeHXsKVmyJOzs7NC8eXN07NjRrPmyXVa+U/tvtXPnTmnSpIncuXNHZs2aJR4eHjJgwACTd6tjYmKypXF1ys4wateuLf369RMRkR49eoiLi4tUqlRJWrRoIT///LPyM8HBwTJy5EizZ0tOTpY1a9ZIx44d5fbt28rgtOHh4dKvXz/RaDRKG8pNmzZJ5cqVxdfXV6ZPny4zZ84UPz8/adGihVm6+46JiZEZM2bIzp075cyZM0rX/MOHD5fg4GCTeVO2Jbhw4YL07NlTypUrJ9u2bcv0XCk9efJE6tSpI2vWrEk1LeU7+9OmTRMXFxc5e/asWfP8nbcNkZNyvMOHDx9Kr169pH79+hIdHW2W9pMxMTHKmJUiIps3bxYvLy85cOCATJs2TcaNG2eyXufMmSMuLi5Ku5K+ffvK2LFjzdY+V6vVSqdOncTd3V00Go34+/srY4C93q5k69atotFo5M8//0z1e8zdGYHBYBAfHx9ZuXKlyefbt28XZ2dnGTx4cKphGAwGQ6p91hw53/Y779y5I/3795fPPvtM6tSpIxs3bpQaNWoonQSZW0xMjLRt21bc3NxEo9FIjRo1ZNGiRWnO+/PPP4tGo5Hffvst1TRzD5uyfPlyGTlypCxbtszk+1Puk5GRkVK1alVZu3at8llMTIw8efJEfv75Z7MMX6HT6aR58+bSsWNHOXPmjGi1WomJiTEZsiApKUni4+PF3d1dunfvni2dExmX05o1a0Sj0YiHh4e0atVKfvrpJ5P5wsPDZcyYMVK+fHlp2LChBAUFyeeff27SAU9mSk5OlkGDBknNmjWVjmlStqNr2rSpBAUFSWJiooSHh0uNGjVStaE0Z7v22NhYGTZsmMmwMhcuXJBq1apJv379lL4A0rJ161bx9vY2a/vXmJgYCQwMFHd3d/n0009Fo9FI586d09zGwsLCpHLlyib7R1YNoxIVFSXe3t6yYcMGk8+PHz8uHTp0kDp16siuXbskKipK2T4vXLhgkjFlZ0GZLTExUZ48eWKyPl9fNjqdTvz9/WXChAly+/ZtOXHihCxYsEAGDx4sfn5+UqdOHbMNVZKYmChhYWESERFhco3yevvRfv36ScuWLeXZs2dy9uxZ2bZtm8yfP186deok/v7+WTIednbjk8lMEBcXhxIlSuCjjz5C9+7dAQDbtm1TnlCqVCo4Ojpm6ashRlZWVtDr9Th//jwqVKiAzp07AwCWLl2Kw4cPo1ChQihQoIByZ+zPP/9EXFwcihcvbvZsarUaLi4umDx5MkaPHo1Lly6hfv36WLBgAbp37w6DwYBhw4bBxsYGQUFBKF26NGbNmoV9+/Yhd+7cKFeuHCZOnKh0l5+ZTw7Gjx+PnTt3Knc1HR0d8dFHHynDMGzZsgWurq4oXLiwydMUV1dX9OjRAzY2NqhUqVKm5UnL7du38fLlS7i7uwMwfQXZ2P7FysoKffr0wY4dO7Bnzx5UrVrVrJneJuUQOVqtFkePHsWUKVPw+PFjlC1bFj179oS9vT0KFSqEfv36KW1AM5tWq0X9+vXh6uqKRYsWwdbWFp6enli1ahXWr18PvV6Phg0bwsbGRrnLPGDAAFy6dAmbNm1Cs2bN0LJlS5QrV84srz1qtVoEBAQgT5486NatG2xtbbF27VrMnz8ftWrVMnnKKCIoXLgwAOD58+coWbKkyb5gzqe6xicHn332GU6fPo2AgABlffn5+SEpKQmjR4+GtbU1evXqpRxT5LU3HOT/2ztlJuMy0Ol0mDNnDiIiIhAVFYVGjRqhdu3acHZ2xowZM/Do0SN8/fXX2LRpE6ysrPDTTz/h119/Vd52MAfja7aFCxfGsGHDUKJECUycOBHbtm1D8+bNUx17P/nkEzg6OuLChQuoVKmSySuJ5nrtVqvVIiQkRGmvHh0dDY1Gg+nTp8PZ2dnkac+HH34IBwcH3Lx5U/ksR44ccHR0RL169TI9m4hg+fLlcHR0xMiRI1G6dGnlzYayZcsC+Gv9W1lZYcuWLcidO3e2nH+Tk5NhbW2NGzduwM/PD0FBQRgyZIjyOr2XlxcAKG9kNGvWDFu3bkVsbCxKliyJKVOmmOW1PbVajebNmyMiIgJLly5FUlISmjdvjqSkJPj7+8PR0RHz58+HWq1WXsNs3bo15syZg8TERDRs2NCsr47evHkTu3btwr1792Bra4u6devC1dUVvr6+WL9+PUqVKoW2bduiQIECyjFaRBAdHY0TJ07gk08+MVv7SK1Wq+ynM2bMwKefforFixdj+/btOH36NOrXr28yf9GiRVGsWDGcP38ebdu2zbLX5Y377YMHD5S2wAkJCbC1tUWtWrVgZ2eHxYsXY8GCBShSpAjWrl1rct1iPMaYq62kTqfD2LFjceXKFSQlJcHNzQ3Tp09XnpIb/5sjRw5oNBqcPHkSgwcPRunSpZXjc0JCApKTk83yZoZOp8PQoUNx9epVREdHw8PDA927d0eFChWUZWLc9vLnz48rV64gV65cqFq1qnKdlZiYiKSkpH9lG8nXsZjMBJ6enqhevTqAV0WHcWyy1wtKc7/GlRaDwYBevXrh+PHjqFChgkkHCMYT/aFDhxAdHY2EhATs2LEDKpVKGVvSnEQEVapUwdKlS9GrVy/kzZsXTZo0AQB8+umnyishAwcORGJiIvz8/PDtt9/i+fPnysUKYJ52nKNGjcLEiRNx+fJlPH36FFeuXMHt27cRHx+PGzduYNSoUQCAXLlyoWTJkqhQoYLyWlrNmjUxe/Zss6/r/PnzIzExERcvXoRGo0n1fcYOoBwcHJR5s4Px5Onu7o5r164BACZMmIBp06Zh06ZNiI+PR5s2bWBvb6+sS3ONs2q8EKhQoQImTJigdBxToEABzJo1C6GhoYiJiVFek7OxsVEy5cuXD/fv3wcAs1wkp8xXvHhxTJ48GcWKFQPwqvH/ggULcPfuXZQsWVKZX6VS4ZNPPoG9vT3OnTuHypUrmxSQ5rzgM35P9erVsXz5cpw8eRKNGjVSxt8KCAiAiGDMmDEAoBSUrxe45shoLCRbtmwJBwcHfPTRR7Czs8P69euxceNGTJo0CdWrV0eJEiUwduxYXLp0Cb///jsOHjyo3JwxB61WCz8/PxQrVgzTp09H/vz5YWVlhb59+6Jfv36IiopKVUzmypULOXLkQEREBADzj82YMuOYMWNQtWpV7Ny5E0OGDMGVK1eU15aBv/btTz75BHfu3AFg3nb1wKvt5dy5c/j4449RqlSpNMdMtbKyQkJCAtauXYuaNWsq+1FWiI2Nxa5du9CqVStlOTx+/FjpDGbKlCkYOXJkqoIyV65cqFatGqpVq2bWfMYL9Tp16sDa2hqzZ8/GihUrYDAYsGrVKuTMmRNz5sxBoUKFALxanyVKlMCmTZvg7e2NFStWoFatWmbpMEun0+G3336Dh4cHvvrqK2U5JScno379+hg7diyePn2KZcuW4enTp2jfvr1yrrh06RI2b96MI0eOYN26dWYpJo37hrGQzJcvH6ysrBASEoKtW7ciPj4+1c/Y2NggX758Ssd9WdXuWq1Wo2TJknB1dcXSpUvh7u4OBwcHZf+sWrUqunbtiilTpuCbb77BuHHjlPFXUzLH8Vmr1SIoKAjW1taoUqUKHj9+jB07diBHjhz44osvlH3a+N/ixYtj3759SkdUxm04s9tgp8wXEBAABwcHNGrUCLGxsfj++++RK1culC1bVnnt3FhUVqhQARs2bMD169eVV7BFBDY2NmbvuMhSsJjMBMaDLvBqI8+ZM6dJQTlkyBDMnDkzywtJ4NWBoHPnznjx4gXu3buH69evo0qVKsrguHq9HuvWrcPp06dRpEgRlC1bFnPnzjXL076U5NWwNFCpVPj9999RsGBBREZGYt26dcifPz/c3NxMCsphw4bBYDDA39/fpMe9159yZDSTSqWCXq9XDqrGE7uPjw8A4OTJk7h+/Tp69uwJKysr3Lp1C9euXcOOHTug1Wpha2uL3bt3m60NREp2dnYoUKAADh06hDp16phsh0ZqtVrpCCB//vxmz5QW4zZUvnx5rF+/Hs+fP4eTkxOePHmC5ORkODk54cCBA6hcubJZnx5otVr4+/ujVKlSmDJlirIdGQd6L1euHJYsWYJ+/fph27ZtcHFxgb+/P6ytraHVavHixQsUK1bMbJ3uGAvJEiVKYPr06ShYsKBy0syRIwdKliyJPHnypGobbGNjAycnJ+ViJas7m6hZsyaaNWuGCRMmoGTJknB2dlZyG3t4/OKLL/Dy5Ut88cUXZusx83Xz589Hjhw5sGDBAhQtWhQqlQqjRo3Cli1bEBMTg5iYGKX33YoVK6JixYoIDg4GYJ7OdlKu32nTpqFQoUJKu674+HiUKFFCyWP8fuNd7eLFi+P27duZmudNGY2F5IwZM5S2UvXq1UPevHmh1WoB/HWsNC6jsmXLYtu2bYiLizPrXXiDwYCnT5/i6tWrSrH2pg66Lly4gBkzZmDSpElKz8vm3jd0Oh3atWuHZ8+ewdvbWzmPtGrVSmlrWrNmTUybNg3Dhw/Hl19+CRFRnmalbKub2XmTk5ORkJCAx48fo0iRIkobSJVKhdmzZ2PcuHHInz8/1q9fb3IcNl4LFC9eHAcPHkRCQoJZCknjGyMeHh6oWrUqatWqhcmTJ2PkyJFYvnw5VCoVvLy8sHDhQowaNQp79+7Ftm3b8MknnygdBVpbW+Obb74xS1t2475RqlQpTJo0STk+A686RMubN69ybDNuk8b1+fHHH2PPnj2Iiooya0dKcXFxuH79OipWrKjsE82bN8fSpUuxaNEi9O/f3+Smbc2aNREaGoovvvhC6RzN3FIeBydMmKB0UhMSEoJLly4pHUABf+0Dzs7OiIuLQ3h4OD799FOz3lBLeUN3ypQpKFq0KAAgJiYGx48fN8lnlC9fPiQlJSEmJkb5LDs6fcpO5h+L4l8k5fAUb2J8NG8sKAMCArBv3z6MHj06CxIiVRfiKpUK7u7uGD58OOzt7TFlyhSEhYUp0+zt7bFq1Sps3rwZq1evxoIFC5SnMeYqJJOTk012tN69e+Pw4cNYvXo1Ll68iPnz5+P06dMA/npC6e3tjREjRuDIkSOp/r7MEBcXh9mzZ6Nfv34YPXo0zp49C+CvdW78b9WqVWFlZYXnz58jJCQE48aNw4YNG3D48GHs27cPBw4cMMsrwlqtFpGRkbh06RLu3r0Lg8GAYsWKoV27djhy5Ah27tyJ2NhYZf6kpCTl/1+4cAEODg5wdXXN9Fz/1NuGyGnSpAl27tyJefPm/aN97F2/v0+fPnj58iXGjBmDggULQqVS4cKFC1i1ahXGjh2LH374AcWKFcPq1auRI0cOTJ06FT169MDUqVMxcOBAXLhwAd26dYO1tXWmnyji4uLg6+uLvHnzKhfxSUlJUKvV0Gq12L59O0qUKAE7Ozs8f/7c5Gdz5cqFXLly4Y8//kBiYqIydE5W8vPzQ758+TB16lTcuXNHOQ4CQEBAAIYPH46oqCjky5fPbBle33bu3LmDjz76CMWKFYNKpcLevXuxZcsWjBkzBiqVCt98802aTxKAzH96EB8fj3bt2kGtVmPp0qUoVKgQEhMToVarERcXh2+//RZOTk5wdHREZGSkclFi7PgrV65cePDggUkvrplNp9OhRYsW+Pjjj01uZgDAgwcPoFarlYLIuP0bjzMFCxbEixcvlGLTXNRqNRwcHJAzZ0789ttvyj7yOhFB9erVUapUKfz2229mzWRkLDbu37+P2NhYPH78WJnWsGFDpRdHY7Zp06bhyZMnWLZsGQ4fPgzA9JXCzDzG6HQ6jB49GsHBwWjcuDGCg4OVzkxq1qyJYcOG4eOPP4aVlZXJOda4/o3DmRQtWtQsvVEal1358uUxbNgw2NvbA3jVudiUKVPw4MEDLFu2DD///DMAYPLkyVi6dClGjx6NGjVq4LPPPsOQIUOwbNkykyfnmSUhIQE9e/bE8+fPMW/ePBQuXBgJCQlQq9WIj4/H7NmzlVeaz58/jxs3bgD468lavnz5lP3dnKZMmYL27dvj1KlTyptIfn5+qFq1Kvbt24dVq1YhPj4e1tbWyrGkZcuWyJkzp3LNY06v36wqUaKEcs1aunRp5MmTx6TzJCPjNmd8+8Gc+Zo3b45ixYph5syZKFq0qHKMK1y4sMm1nYgoOcuWLYsPPvgAV69eNWs+S8Ynk38jLi4Ox44dw2effWbyLrdRyp5SraysYGtra1JQdu7cGTY2NmjatKnZsxrvNhnHFHr48CE+/vhjFCpUCNWqVcOMGTMwaNAgDB8+HFOnTlUuDACYHICNYw+aQ8q2TOPGjUN4eDiePn2K/v37w8/PD8uXL0fXrl2xYMECDBgwAFWrVsWnn36K3r17o1SpUmbpTU6r1aJt27aIiYmBjY0Nnjx5gv3792PNmjUm7QdEBMnJyShcuLDJU4Lk5GSztom9fPkyFi9ejGvXruHx48fIly8f+vfvj6CgILRs2RJXr15V2rc0adIERYoUUdbf7du3MXfuXOTNm1fpBtwc3jZ8h3Gas7MzChcujPr160OlUilD5Li6usLa2tqsvY6q1Wp4e3vj1KlTuH79Oj766CPs2bMHI0aMQP78+WEwGPD999/D3d0dEyZMwNatW/HVV1/h7NmzePToEUqVKoXvvvvObL233rx5E48ePULp0qURHR2N/PnzK/ty+/btcfXqVZQqVQoNGjSAWq2Gq6srypQpAy8vL+TPnx8tW7ZEtWrVzPJKTUREhPIU/E1q1qyJVq1a4ZtvvsHo0aMxduxYk2NKSEgI2rZtq1woZPZ6Nh5XjK+hV6hQAfHx8crJ/scff8SAAQMwYMAAtG3bFosXL8aGDRvQqlUr5cLVnG7evIkXL17A0dERhw8fRpMmTWBjY4P4+Hi0bdsWv//+O/Lnz486depApVKhePHi8PT0RJkyZVChQgWULVtWGafMHBITE9GzZ088fPgQc+fOVYpdGxsb6PV6jB8/HlFRUXj58iU2bNiA4sWLo2zZssoYawULFkTOnDmz5EaGo6MjNBoNjhw5gh49eiBfvnypniSnLHaN/9+cTwpSPm3p2LEjBg0ahKioKABpP2FMWVCOHj1aaStWp04ds2QLCgpC3rx50aBBA3Ts2BG//vqryTm+WrVqGDx4MGbPno0lS5bAYDDA19fX5JrHXDeXY2Nj0apVKxQuXFh59Rv4a7kZC8qRI0di2bJlMBgMaNCgAapXr640LzK36OhoZZzKJUuWYNiwYbC1tUVsbCzatGmDP/74A/ny5UObNm2UY06VKlVQunRpuLm5wc7ODlu2bFH2F3MpWrQo9Ho9JkyYgDFjxsDd3R22traYMGECBgwYgE2bNiEuLg49evRQXgMOCwvDBx98kOabTZkpLi4OzZs3R9myZTFp0iQ4OTnBYDDAysoKUVFROHv2LLy9vU2Occb9xvgkPDw83Gz5jNthwYIF8eWXX8Le3l65FtZqtTh27BiqV6+u9AugUqmUfPnz54eIKE0R/pOyoJOf95bBYJBJkyaJRqORTZs2KZ8be5sy9qR3584dadasmVy+fNnk543zmbPXs9e/KyYmRvz9/cXT01MqVaokn376qXTo0EHpFe306dNSt25dadWqldy+fdvsudKi0+nEx8dHQkJCZNq0aTJmzBjZt2+fMv306dNSqVIlCQ4OlpUrV0r37t3l999/V6ZnZu+tMTEx4uXlJe3bt5eLFy+KiMhPP/0kVatWlRkzZojIX+vP+N+xY8dK/fr1JTY21uy9ZV64cEGqVKkiw4YNk3Xr1snZs2dlwYIFSlYRkdu3b8uQIUNEo9FIcHCwzJ07V7Zt2ybjxo2ToKAgCQoKUnofy+xe5IzL5PV1YvzcuHwePHggBw4ckM6dO4u3t3eqHuPMKeV3jB49Wtzd3eXnn3+WVq1ayeLFiyUiIkJERHbv3i2urq4ycOBAEXn1NxkMBtHr9al6bzOHI0eOiKurq3Tp0kXu37+v9Kro5+cna9askW3btsnEiROlQ4cO4urqKhqNRjQajfj4+Eh8fLxZMr148ULc3d2lc+fOb+wdMeXy3bBhg/j7+0vNmjVlx44d8vz5c5N5M2t/SXlMNX6/TqeT+vXry8SJE0Wv18ucOXPE09NTxo4dKxqNRr766iulZ8I5c+aIv79/lvbweeLECWnZsqX4+voqvWI2bdpUAgMDZfv27XLlyhX55ptvZPLkydK4cWMpV66caDQaadasmURGRpo937Rp06RBgwbSt29fZZ+IjY0VX19f0Wg00qhRI6lataqy3dWqVUs6deokM2fOlE2bNqXqtdccjOv65MmT4urqmqr33ZTn3EuXLomPj49s2bJF+cwcYmJipH79+hIaGipPnz4VERFvb2+ZMGHCW7/X+PnRo0fF19dXWeaZSa/XS9u2bSU0NFTu3r2bZpaU++/Ro0clICBAmjZtqvTyak4xMTHSpEkT0Wg0MmnSJNHpdG+c99ixY1KnTh0JDg426VU2q3pGffDggYwZM0aqV68uc+bMERERX19fad26tZw8eVKioqLk7Nmz8sMPP8iQIUOkUaNGotFopGbNmkpv8OZ29uxZqVevnvj5+Ym7u7scO3ZMOXfFxsbK//73P6lXr56EhobKxYsX5ccff5Thw4dLvXr15P79+2bLZTAYZPny5aLRaJTrKiO9Xi+tW7cWjUYjPXv2lJCQEOndu7d8/fXXcuTIERF51cN7//79zdor6sqVK0Wj0cjAgQMlOjo6zXyBgYFSv359adu2rYwZM0aOHTsmYWFh8vTpU+nZs6fcuHHDbPksHYvJv3Hu3Dnp3bu3VK9e3aR7ZeMOevfuXalZs6Z0795dtFptdsUUkVcbfZs2baR9+/Zy5swZ0el0cuzYMalRo4bUqlVLHj16JCIiZ86cES8vL2nQoIFZDyBvsnTpUvHx8Ul18jQYDMpF0/nz58Xd3V2qVasmDRs2NNvwH8aLgMePHysnJa1WK40bN1ZOGK+fgBcvXiyVKlUy6SraHO7duyfNmjWTCRMmmHxXWifP2NhY+e677yQ4OFhq1qwp1atXlw4dOsjcuXOVZZfZy1Cr1cq0adOkT58+8r///U8OHjxocnFuvHC/e/euODs7y8qVK+XFixfZMkSO0c2bN6Vt27bi5eUlPXr0kCdPnphM37hxozg7O5sU61np8OHDUqlSJencubM0atRIWrVqpVygphQRESHHjx+XadOmybVr18yWJykpSbZt2yZubm7Sr18/5RjyupTb5KlTp2Ts2LHi7Ows3bp1kyVLlohWq5WXL19mWq64uDgln8ir4/GOHTukXbt2cunSJRF5tf94eXmJRqOR4cOHKz8bHh4uLVu2lKFDh2ZanrdJefwwFpRNmzYVT09PadOmjcmxxygmJkbu3r0r3333XZpDvmSmlN89f/58qVevngwYMED+/PNPad68ubRq1UquXbsmer1eIiIi5OLFizJ79mzp1auXuLq6ipubW5afR6Kjo2XGjBmi0WikR48eEhkZafJ3PHnyREaNGiXe3t5mzabX603OIUbdunWTtm3b/u3PG7eN2NhYs+Q7deqUtGzZUk6fPp3qRs6hQ4dk+vTpMmTIEJk7d65yTXPs2DFp3bq11K5dW3788Uez5BJ5tY03aNBA2rZtK3PmzJFy5crJrFmz0rzBY1xOx48fl7p160rbtm3lwIEDZsv2pu+/f/++jB49WmrUqCFVqlSR4OBgiYyMVM6tKbfBxMREOX/+/BuPmeZw5coVqV69uhw7dkw6deokNWvWlF9++UWZnpSUJBs3bpTAwEDRaDTi7u4uTZo0Mes5xOjWrVsyfvx40Wg0snDhQhF5tYx8fHykfv36MnLkSBk0aJAEBARIxYoVlZtplStXlkGDBpn9hlpiYqJMmTJF6tWrJ0OHDlXWuY+PjzRt2lQmT54sS5culW7duom3t7dyU02j0cgXX3whz549M2s+S8di8h+4ePGi9OjRI1VBee/ePeVORnaMYfW627dvi5eXl+zdu1c5Mfz0009Srlw52b59u5w4cULu3r0rIq8Oyr179zb7k7W0DB48WD7//PNUn0dHR8vw4cNlyZIlIvJqfKajR48qGTMzq1arFS8vL+nevbtysWE8EYSFhUn9+vVlx44dJj9jnL5nzx7RaDRy5syZTMuTkvEgtn//fvH39zd54p3yZJVyXDDjnbQXL15IdHS03Lt3z+QiNrPXs06nkyZNmoi/v7906NBBOnXqJBqNRgYMGGAynuWtW7eUcVdff0plTjqdTtauXStjxoyROXPmKONDirwas9SY1ch4MfDo0SOpVq2a8jQjOxw+fFiqVasm5cqVU8aWFBGzPV3+O0lJSbJr1y5xdXX9xwWlyKsL2YULF0qjRo2kbdu2EhISIgkJCRl+QvTo0SNp3bq1coMlKSlJ/P39pVq1atK3b1+TecPCwqRevXry2WefycCBA2XMmDHi6+srfn5+yjo31xOrtPZVkVcFpb+/v1SuXFnWrVunfG58Em78m7JSyqzz5s2TevXqSZUqVaRFixai0+neuIxu3bpllouof7JOnjx5IrNmzRJXV1dp3LixzJs3T06dOiXLli2TXr16Sc2aNbPkInnLli2pntrv379fXFxc5NixY//od5hrG1y7dq24uroqF+J6vV4ePXokffr0EY1GIy4uLlKlShVxcXGRNm3aKPvE0aNHJTQ01GxPm3U6nVSuXFk6duwoT58+ldjYWPnyyy/F2dlZZs6cmeaNeeMyOnHihFSqVEk6der01ieZme31gtLd3V1GjRqlTE95szY7rquMGYKDg+XYsWNy//59+fzzz6VWrVpy4cIFGT16tPKGXXJysly4cEHCwsKy5K0Ho/DwcOVNkfnz50uLFi2kdevWqZ7c3rx5U06ePCkTJ06Url27mv2JX8przIkTJ0q9evWUp8tt2rSR+/fvm7yhptVq5cqVK/L111/LoEGD/hPjSP4dFpNvkJycbHJASKugvHz5ssyaNStT77inx+tPmn755RfRaDTKk5/t27eLRqORRYsWydOnT6Vly5bKxUvKi4esPvCNGDFCvLy8lCdXKbMMGTJEGjdunGqg3MzMmJSUJIMHDzZZVsbv0+v18vnnn4tGo5F169bJypUrZfPmzXL//n3lounUqVPi6elp9rvxY8aMkaZNm751nhcvXkjHjh2lTZs2IpJ2oWGOC5WFCxeKr6+vcnNCRGTnzp1SuXJlCQkJUV5P8fHxkS5dumTpzRatVis+Pj7Stm1b6dy5s/To0UOcnZ1lyJAhygDqmzZtUk4AKfejixcvSt26deXo0aNmzfh36+T48ePi6uoq3bp1y9JXZ4y5kpOTUx0j/klB+frvMXr+/HmaT1jfRVRUlISGhppcSO7YsUOqVKkiXl5eqZ4qh4eHy4wZMyQ4OFi6d+8u06ZNM9vTepFXT1xeb/IgknZB6evrK3v27ElznqyWcn0vXLhQPDw8pEuXLsqA4sZjsMFgMGvOuLg4k2YHaTF+f3R0tBw/flzat28v1apVE41GI15eXvK///3P7G9AvO2mzq1bt6R27doyf/78v503s8XHxyt/+549e6R27dqyadMmuXjxoixbtkwaNGggGo1GQkJC5OrVqxIWFiZr166VOnXqyKlTp5TfY66npSKvXhkdN26cyWD1Wq32HxeUJ0+elLCwMLPlexPj90dERCgF5bRp05Tp2VVEphQcHCzTp08XkVcPPDp27CgVKlSQqlWrym+//ZbN6f4qKF1dXaVmzZrKTdLExMRUy+/163Bzer2gdHd3lxo1asj169dNpr++L2dFE5j3AYvJFPR6vdy5c+eN08+dOyfdu3cXd3d3kzaU2XkBoNPpZMqUKSLy6k5tzZo1ZdGiRbJt2zbRaDTy5ZdfKvN6enrKzJkzsyxbyouPlMXh7t27pXr16jJz5kylrZfxAmXChAnSrVs3s+ZKTEyUDRs2SMOGDaVJkybKEw6tViu+vr5SsWJFadasmdSrV095jcHNzU18fHxkyJAhsmzZslSvR5rDyJEjJSAg4K3z6PV66dmzp3h7e5vlwvhNhg8fLh07/h973x0X1ZW3f9Qkm2Szm3c3eZNN3t1k+wWGMoIMZQQEZGhDLwPSkaIgiNhQwS5iI1GMioq9xUasiaIRGxZs2NCIiqCCBUFmKAMMz+8PfvfsvczgZne5o9n4fD75RIaB+XLOueecb3ueGPo1O9fHjh2DnZ0dwsPDUVZWhqqqKr1Gjzs6OpCeng4/Pz962VCpVNiwYQMMDQ2RkpLC6xV+8OABSktL8fz5c1RWVmLixIlwcXERrDSJO0e6Lpjcg5MteY2Pj6cHmtB4Uem2Wq3G3r17YWpqipSUlB81RkJdov38/LB48WLeawcOHIBIJMKIESN07uPd92khLilKpRKWlpaIjY3VecngvnbhwgXqUHL7017mecIdk7y8PNjb22PEiBE0CKMPp6i8vBxOTk6wt7fn9cr/M9y/fx/Xrl3D8+fPBXWEfixycnIgFotpdk8f86pUKuHg4IAVK1YA6HLMfXx8YGRkBJFIBIZhoFAo8PXXX/OC4CqVCiYmJigsLBTcRm7Aqjuamppe6FAKPYatra0v3Ne4+3dDQwPtoZw9ezZ9XWjnp6WlBSUlJVprnP3cL774gld1k5iYCGNjY1haWuLUqVOC2sbFi+bq7t27mDFjBhiGwVdffUVf13fVTXdwHcpZs2bB3t4eGRkZtPKrp2qT13jtTFKo1Wr4+vpCLBYjPj4eY8aMwa5du1BaWsrLqlRUVCAhIQG2trbYvHkzff1lRaT27NkDhmFQXFyM9vZ2JCYmwsTEBCKRiF622tvbcfXqVTg6OurlsGA/E+g6HObMmYNhw4ZhxYoVqKurQ1tbG0aNGgWpVIq5c+fS9967dw8KhQLTpk0TzC4uYczu3bvh4OAAT09PPH36FD4+PlAoFDSq29jYiKqqKmzduhUTJ06Ek5MTrKysBCEu0lWSum7dOpiamtIsX3ew79u6dStEIhEePHigt814zpw5cHJyohcSjUZD/4Zjx47B3NwcI0eOFLyvtDvUajXkcjkmT57Me72qqgpWVla0x6qmpgZtbW1YsWIFRCIR+vfvD7lcDnt7e8FK41pbW5GYmEjLuAHdFQJVVVW0z4V1KIcNGyZ4yV5ZWRlEIhHd//bt24fS0lKt8uR9+/bB3NwcKSkpvMyCPsCO11dffYXY2FhaosWuvX379kEkEmHkyJE8h1IfzwVL5hUTE6PzQsqd36VLlwL4Rw+lr6+vXvbm5ubmF2bsuAFAoGucHR0dkZycTEvRhB7Lzs5OXLhwAYGBgZBKpbh27VqP7+tuz6uQGWJx7do1eHh4YNq0aXoJqCmVSgwePBhDhgxBbW0tHYvm5mbk5eVh0aJF2LBhA9RqNa9kT6PRoLS0FHK5/F9y3v9VsERm3QkMu1/K/5lDKRQ0Gg3Cw8Ph5+enkwyJtbeyshIpKSl48uQJHj58iMzMTEilUmRlZenFzqVLl0IqleLgwYO0d5yLPXv2QCaTQaPRYMyYMbC2tsa+ffsQExMDQ0NDnD59WlD7/llQm53/6upqZGVl0eo5FkI/w+3t7S98HtnER0dHB3JycmBnZ4fx48ejoaFBL/b9VPHamfz/qK2tRWJiIs1EsdE8lrVOoVBgzpw5OH36NDZu3Ii4uDgMGDAA33zzzUu1+/79+xg8eDAyMzMBdJWTyeVyiMVi5Ofn48GDBygqKkJISAiCg4P18iBwmWXd3Nxgb29PGQHT09Px9OlTtLa2YuTIkZBIJBg0aBCGDBkCFxcXvfQy6XIoGYaBv78/Wlpa6Od3zyw0NDTotaT54sWLMDExQWpqKq+ctLvjmZWVBYVCIWikrLm5mTICA10HllQqRUFBAT3QuA7lvn37wDAMr1dRaGg0GtTW1sLa2hozZswA8I+NX61WIz09Hdu3b4eZmRlmzZoFoGssV61ahSVLlmD79u00AyMEKisr4efnB5lMhjVr1vDs5joaBgYGGDduHF2Hx44dA8MwSEtL0yr/7k189913dP8zMDCgmQypVIrQ0FDMmDED+/fvx5kzZ1BYWAgjIyNkZWXpjamQi0uXLkEkEmHnzp0A+KWXrEOZlpamt1I4lqE6ISFBiwwGAC9gZmJigkmTJtG5PHXqFAYPHgyFQiFoOXhnZyct79floLFr8O7du4iKiqLBi0WLFmHw4MGIiorSW/BAo9Hg3LlzCAgI0OlQcve68+fP65WMpSfocrKnTZsGqVSKo0ePCro/q1QqyGQyhIeH83rgerrYc1lvGxoaMHHiRPj7+wtGItLc3Aw7OzvExsZiwYIFOj+HOz5chzI3N1cvbRKdnZ04ePAgZSnm9otyn1+WEIZ1SB4+fIj09HS4uLjohYTl+++/B8Mw8Pb2xoEDB+g+wo5fWVkZXF1dER4eDhsbG1raeufOHSQmJr6w+u4/hVKpxLBhw3i9/lywe0xtbS2qq6vx9OlT2kPJBtiERGNjI8LCwv6pfQ8ePMDFixeh0WgwY8YMODg4YOLEiXoPjv+U8LN3JpuammhE+Nq1a5g4cSIMDAywa9cuXL9+Hd9++y2mTp2K8PBwSCQSWvLIZXLSB4U2wD8YuJcnNjN19uxZAF2lakOHDoWTkxOldI+OjqbOkT4cSrVajZCQEERFReHu3bu0Dp1hGIwZM4ZmKPft24dJkyZh4sSJWLZsGf0bhbaR61AWFhbCx8cHzs7O9NDiOpJC28L2rKSmpmLUqFEoKCig47By5UowDINp06ZpZUQ1Gg1++OEH+Pv78/o2ehs9SeSwJd8HDx7k9b+y45WSkoKoqCi0trbqtSRk1KhRkEgkuH79OrVr/vz5kEqlaGhowIoVK2BgYIDDhw/rzSYWN2/eRGxsLJydnXkOJdC1DgYMGICxY8fyqMmBrh5KoXrAbty4QTNpBw4cAMMwSEpKwvbt23HixAnMnDkTISEhsLW1BcMwMDExoQEYhmGQkpKiVxIHdi1NmTIFEomEysx0dyhNTU0RExMjuLOrVCrh4eEBhmGoHASgfZG/ffs2bGxskJ6erhWUOnv2rF6kNc6cOQOFQqHloHGDGRYWFkhJSeFd4HNyciCXywVxJtVqNUpLS7Fq1Sps2bKFZk46Oztx/vx5rQwldz++ePEigoODYWJigvr6er3uM7oyorW1tTSDwSIwMBD29vaC9T4rlUp4e3vTu4iujB/33wcPHkRtbS3a29tx5swZjB8/HhYWFoJWPly6dAkMw8Dd3R3BwcEQi8WYMWOGVm8695lpampCfn4+Zf/Ux9x2dnaiuLgYEokEMTExvGfy7t27kEgkOgkXa2tre5RO6m0UFRVBLBZDJpPB2tqad/4CXevSw8MDjo6OuHDhAu9nhezvUyqVGDRoEMLDw3WS7XEzu1ZWVpTRtaqqirK8rly5UlD7Bg8ejKCgIJ1OP9e+/v37U/s6Ojowe/ZsiMViTJky5aWX4r6q+Nk7k0lJSQgODqZf37x5E8nJyTAxMaGXTXbxPH78GBcvXsSOHTswevRoREZGYsCAAXqVOmhubtYiJqisrERAQABmzpxJ6+hbW1tpuVxFRQX9G/TVV8cSTFy9ehVAV6Rn4sSJiIuLg5GREVJTU3vU1dJXGQF7OLW1tdFMm6urK70M6GOszp8/D0dHR/j7+0OhUEAmkyE9PZ1GD1taWjBv3jwwDIOhQ4di//79VELl8OHDGDJkCPz8/ATP5nIlcjZs2EA/KyAgAPb29jpLbtLT06FQKASxh0VbWxtqampQVlZGs4q3b9+Gv78/pW738/ODsbExLR29efMmpFIp8vPz6d/B/b9QYH//zZs3ERMTw3MoOzs7kZCQgOHDh+uVrOjRo0cYMGAAtm3bRl9j+625eoMA8OTJE5w/fx6FhYUYP348hg0bBmNjYwQFBb2UA7a0tBQBAQEIDQ2l5Xnc7PjOnTsRHh4uqG2svEFQUBCNsHN11Lh7WXx8PGJjY3nz+zLG7cKFCwgICICNjQ3PoaysrIShoSHGjh1LbeTaJ0TAQKlUIioqCjKZDGKxGBKJBG5ublTepbOzExcvXoS/vz+kUimP2OjChQsIDQ0V3BFqbm7G119/TVmhWduArvHhZq3EYjHtAWPn/saNG/Dx8REkWMCWVgcFBcHT0xMuLi48bcHuuHjxIgwNDSGRSGBra4vBgwfDy8tLL6y3WVlZiIuLw8WLF5GbmwtnZ2cYGRkhJSUFX3/9tc6fUSqVWL16taB3rI6ODi3HW5dD+dVXX2HkyJG851doMipdyM3NRUREBOrr6xESEkJLXrnlmSdOnNArcRu7DqOjo3U61ewYVVZWQiKRIC0tjRdQu3v3LmbPni0YKypXT5y1jztv7DN89+5dSKVSpKamQqlU8kqy58+f/1JIn34q+Nk7kzNnzoSPjw/v0L916xaSkpIgEol4pX26Dn59Xvw6OjqQkZFBy0W5JbZfffUVLC0tX9g8rs+Ly549eyASiShxyPz58+Hq6oq7d+9i8+bNYBgGkyZN0pLf0Ce4JZAA8O2338LBwQGurq50oxPSsS0vL4e1tTWmT59Oncfm5mZeSSvQtelt3LgRtra2MDIygrOzM9WHSkhI0Fs2l8tozLIC19fXw9/fnzqZ7Lg9ffoUiYmJGDNmDK9HpzehVCoRERGBoKAgGBkZwc3NjV6Ea2trkZubi+TkZIwZMwY3btzg/ay7uzsmTJjQ6za9CNxLy40bN6hDuXbtWgBdB5m+JYaamppgaWmJVatW8V7nOpRsQEgX7ty5Q/eV3txfKisrf1RGcevWrZDJZAgMDNSKwnMhxN7X3NwMa2trREREoLGxETU1NZg9ezYYhqFsigC/N+xlEsNwg2dsRYOjoyN1JEpKSrQueYBw54ZKpYK7uzsiIyNx5MgRdHR04Pbt2zzJJfZ5KCsrow5leXk5rl+/jtDQUIjFYkEdIZYZ2tHREY6OjrC0tISTk5NWSd6LslYAKNFcb6KxsRF2dnaIiYlBfX09Hj58CLlcjsGDB+P48eM6g6EtLS0oKytDdnY2Zs6cid27d+tNB3HDhg1wcHCgFVSXL1/GgQMHKAuvj48P8vPztRxHoZy1FwWL29vbqUPJdZD0SXLXE5KSkhAeHg6gq60pNDSUOpTsOtPnXa+7Xjf387ms4HV1dZRpWdczItTYso6kLvs6Ojro/qxSqWBsbIzk5GSefa/CnP8U8LN3JlevXg0LCwutqOutW7eQnJwMkUhE+zF0aYDpK5vB4t69e9i5cyfVVYuMjMTRo0dRW1uLqKgonji3vsC1kX1IT58+jaSkJDQ0NODbb78FwzCUSObkyZNgGAaGhoZIT09/KaxY3JIGmUyGkpISdHR0YM+ePXB2doaNjY2g/ZFqtRoTJkxAampqj5IJ3aPLN2/exIEDB5CTk4OlS5fi2LFjgmece5LIkUgklICqra0NQ4cOha2tLXx9fZGWloaQkBAMGDBAsEhja2sr/Pz8EBkZiTNnzqC8vByrV6+GWCxGZGSkzs9lgwY1NTXw9vbG6tWrBbEN6HLScnNzsW7dOpSXl6O2tlbrgC8vL0dMTAwGDRpEHUpAfyxxHR0dUKvVCAwMxNSpUwHw1xwrLZSSksJzxnUFLXozkNHY2AipVIqwsLAe5Xe4Y1lYWIigoCBYWlpiy5YtWnu5UEGW0tJSZGdn80o/Hzx4gOzsbC2HUshe156gi1afnd/W1lYqvC2VSmm2TV80921tbUhLS0NUVBTu37+vRcoCAAUFBUhNTaXl/axDaW1tDU9PT8EzkhqNBhMnTkRYWBgNil65cgVTpkwBwzC0L7uhoQFOTk5apcFCY8uWLfDz8+M5g/fv39fpUOr7jFWr1XQsuHPq5eWF6Ohonr3m5uYYPnw4FAoFGIaBlZUVxo0b96M1Ov8dNDU1wdXVFYmJicjKysKhQ4dw6dIltLa2ajFq29raIjw8nJdZfplMns+fP+dlyLo7lPrca1hHMjY2lu6D7LOsVqvh4uJCEwZsS5E+nxGlUgmZTMYLCHDtc3Jy4u3T586de2lSfz91/GydSfaBY5kJ2YeTe0nR5VDqE9yM07Nnz9DQ0EDtfvjwIY4cOQJfX1+4uLjA398fw4YNQ0REhN4ijVwb2QgUd6NgS+QiIiIo01lHRwd27NhBMx49Mbr9J1Cr1Whvb9d5QWFtBf5RcjFq1Ci6gbS3t2P79u1aGoq9jefPn8PZ2ZmWWvaE+vp6jBs37oWN370dhfxXJHK4ouubN2/GxIkTERoaigkTJggq5FtUVASpVMpjpmtubsbcuXPBMAzCwsLo+qutrcXcuXMxZ84crFixAhMmTIBUKhVsfjs7O2lpMsMwsLGxgYWFBcLDwzF9+nRs2bIF5eXlUKvVePDgAeLj4+Hp6clzKPXBmMlizJgxVIKGWyYK9OxQCgmNRoP9+/fD2toaCQkJP8qhPH/+PLKzs2FoaIjY2Fjk5uaioaFB0F5O1hnvjocPH+p0KPXJAtjS0oLExEQcOnRIi1CstbUVnp6eCA4ORlFREYKCgmBjY/PCDHRvo6KiAt7e3ti5c6fOIO3ixYvp85Oamkr3o4sXLyIgIADGxsZ6Kc0MCQmhgRYWjx49wtKlSyESiTBz5kx6Se7e56wPtLe3a5XpP3jw4Ec7lEI4RU1NTXB0dERiYiJ9jZ3bzZs303Ll8vJyWFpaIjk5mUptFRYWIiUlBRKJBJWVlb1uG4urV6/yeC/Y/9gM1sKFC1FUVISrV6/i8OHDlJ1cSJt+DHraQ7gOZVFRkSCZ8O5obW2Fu7s7HBwc6J2T3WPUajW8vLzg6+uLhw8fvpRy/ra2Njg7O8PW1pZmu7mOpKenJxQKxUshkPtvxBvkZ4S2tjai0WjIO++8Q9566y1CCCEikYj07duXXLlyhfzxj38kffv2JRqNhvTr14/89a9/JWlpaYQQQsaOHUtmzZpFPDw89GKrRqMhb7zxBlGpVGTixImksrKSNDU1kQ8//JCMHTuWmJiYkEGDBhF7e3uyf/9+cuLECfLNN98QQgg5duwYCQoK0puNTU1NJDs7m9y6dYu0t7cTQ0NDkpCQQD799FNCCCH19fXkT3/6E3n+/DlRKpVk586d5KOPPiIikYj+nn79+vWKTS0tLcTV1ZX87W9/IyKRiERFRZEPPviA956+ffuSmpoaEhwcTGxtbcn06dPJe++9Rwgh5I033iC+vr7E1dWVviYE7t+/TxobG4mJiQkhhJD29nby5ptvar3vxIkTZNeuXcTS0pIEBgaSzs5O0qdPH9KnTx8CgPTp04f07du31+xqa2sjCoWCVFZWEktLS/L+++8TOzs78umnnxIDAwPy3nvvEXNzczJ27Fgyd+5csmTJEtLZ2UnCw8NJSEgICQkJIe3t7aRfv369ald31NTUkIaGBvLhhx8SQrrG75133iF//etfiaWlJXn48CGZMGECWb9+Pfn4449Jnz59yMGDB0mfPn3IJ598QlauXEk+++wzQWzr06cPGTRoEKmvryd79+4lDMMQd3d3UlhYSPbu3UtaWlqIRqMh7733Hhk4cCBpbm4mT548IevXrycajYbExMQINnaNjY3k7bffpvsfIYT8/ve/J6dPnyaEELr/sevKx8eHEELI+PHjSb9+/UhcXBx9boVC3759iaurK3nzzTdJRkYGmTZtGpkyZQrdT7jvY58Bc3NzYm5uTjw9Pcnp06fJ3r17yfnz54lGoyFr164lb775JunTp89/bFtbWxsdu57W+CeffEKio6MJIYSsWrWKEELIuHHjSL9+/Xp1r3sRVCoVuXLlCrl79y75xS9+QQYMGEDefvttolarSUBAAPnlL39JFi9eTP73f/+XfPjhh2TWrFkkISGBrFy5khgaGgpu35UrV8i9e/eItbU1nRd2XPLy8sjSpUvp3pKWlkYAkFmzZhEzMzMyceJE8sknn5BPPvlEUBtVKhXp7OykdrFz/9FHHxGFQkH69OlDvvjiC/LJJ5+Q2NhYQW1h0draSg4fPkyqq6vJ559/TszMzMinn37KW1effvopyc/PJ4mJifTZsba2Jm+8oX3d641ngguVSkUCAgLIw4cPSXt7O1GpVOS9996jttnZ2ZElS5aQJUuWkHPnzhGJREKysrLIb3/7W0IIIb6+vsTHx4eoVCryq1/9qldtI4SQpqYmcubMGeLk5ERWr15Nhg4dSkxMTIi7uzv5wx/+QIqLi0l5eTlZs2YNaW5uJu+++y754IMPSL9+/ch3331HmpubSVZWFvnDH/7Q67Z1B7u3cdF972Df85vf/IZ89dVXJDU1laSlpZG8vDzi6OgoqH3Nzc1Eo9GQN998kxw6dIgoFAry5ptvkpaWFhIUFER++ctfkkWLFpGPP/5Y588LvRf27duXWFpakr1795Ljx4+T3/72t+Q3v/kNaWtrI35+fuRXv/oV+fLLL8nvfvc73s/pGvfX+BF4mZ6sPtHS0gJ3d3cMGDAAcrkcGRkZWL16NbZv3w6JRIIdO3b0+LMVFRWIiIiAra2t3jSPgK5Mi4eHBxQKBfLz87Fs2TLExcXBwMAAmzZt0rLl2LFjWLRokV5rvJuamuDm5gaFQoEpU6YgJycHDg4OcHR0pD2dY8eOhbGxMRQKBVxcXAQljPmxrHHFxcXIycnRKmkQsnyloqKClkvV1tbCwsICX3zxxQt/pr6+nsd8JjT+XYkcfemXsjh8+LBOJuUpU6Zg8uTJ+O677yAWi5GdnU2/9/TpUzQ0NAhWZtPc3IyCggL69cWLF5Genk51YIGu5+XSpUv4+uuvkZ2dDT8/P8oEykbGhcpwXLlyBYMGDUJgYCCmTJmC1atXo6SkBJs3b8bAgQPp2mTB3UfYHsrc3Nxet4urF9hdFLqoqAgWFhYvzFB2/z0snj9/3quZyaamJgwaNAhBQUHYuXOnFrty96wBN0M5f/78XrPjRWhra6NVDA8fPoSXlxecnJxw/vx5qFQqyOVyBAcH80pzWV3HkJAQGBkZ6SXjt3XrVpiZmWlJ8ZSXlyMwMBB79+6l47lixQowDEMlDoREa2srL/s0f/58GBsb08wo95l4/Pgxpk+fDgcHB8G1+4Cukj0/Pz/Y2dnB0NCQyln1VAHCzVC+iJSnN+1zcnJCYmIiFi9eDCMjI145Jvtsr169GgzDID4+nrfXCZ290mg0SExMhFwu52kiGxgYYOjQobxxrK6uxrlz57B27VqMGjUKkZGRMDY2hlgsFlQep/v6647uPA/dUVdXh7i4OEHlP7h2PHr0CEFBQXB2dsb27dvR2tqqc49hoVKpsHfvXkFt49rX0dGBzMxMiEQibN68GU+ePKH26cpINjU1YceOHa+Jdv4N/Gycydu3b2PJkiWYNm0aEhMT4ejoSEvQGIaBsbExUlJSMGXKFGzatAkXLlyglyu1Wo2amhq9pcO5m66Xlxdvk2PJaw4dOkR77XQdEvpyKPPy8uDt7c1rml+zZg0YhsHRo0fR1NQEjUaDadOmYdSoUZg1a5bghDH/Cmucvpg8S0tLYWlpiV27dqGtrQ2NjY0IDw+Hp6dnj6LcQFf5ipWVleAaTD8liRygi1k0ISEBIpEImzZtwr59+zBlyhSIRCL6vIwbNw4eHh6UBlzoOWZL87gyLZcvX0ZycjIYhuExprJoamqCUqnEyZMnUVhYKBhroUajwcGDBzFixAjExsbC1taWpyVpaGiIqKgoZGVlYePGjbh8+bIW+2RJSYkg+wrr8Oman7a2NhQVFcHc3PxHOZSAcJdSVtuSJb+SSqVYsmQJjzAG4O9rDx8+RE5ODhiGwcKFCwWxi0VjYyN8fX1x8OBBOgYsKYuTkxOcnJwQHBzM69HmjtXZs2cRHR0t+EUU6LrEsxe87vPeneV75MiR8PLyEtwmjUaD4OBgKBQK6lDX1NTAx8cHHh4etBST+wxcu3YNtra2WLdunaC2cXvT2MBAXl4e+vfvj7S0tB5F2B88eABfX19YWlri1KlTgtrn6OiIiIgI1NXV0fJ4LvMti4sXL8LBwQFTpkzRO7nJ2LFj4ebmxnutuLgYBgYGiIqK6pHEq729HRUVFYK2EHHXHzew170M/N69e4iPj++RDV/fJaW1tbXUoRw4cCCCg4N1SoOoVCpkZWXB1NRUcL3a7s/DpEmTIBKJYG1t3aM0iEqlwoQJE2Brayuo3vR/K342zmR31NXV4f79+ygtLUVcXBwYhoFcLqcXZAMDA4jFYtja2iItLU0v/S7dN9YpU6bAzc2NMgDu3bsXDMOgoKAA586dQ2JiopamldDoPg4pKSkICwujX+/atQuGhoYoKCjAsWPHMHnyZJ2/R8hD5J+xxnl7e+tkjRMK9+7dg5WVFfz8/HivsyLxEydO5PXvcYMDxcXFcHNzo7IWQuGnJpEDdBFysOzGFhYWcHBw4IkRHz9+vEeBdiFQVVWFrKwsWFtb8zKiV65cQUpKChiG4WVwXyZL3PPnz3Hv3j0UFxdj2bJlYBgGMpmMkrKwe6Cnpyc8PDxw5MgRQey+fPkyGIZBVFQUUlNTsXPnTpw8eRJPnjzh7TWHDh2ClZXVCy9RQuPp06dITk5Gbm4uDh06hOzsbJiZmcHS0hIpKSkoLi7WuR9XV1cjNzdX0B5iVkOtu7MIdDmULLnJrl27Xtinro9eK6Brj3N1dYVCoaD26rLn6tWrCAwMxNKlS/Uiw1BUVIT+/fsjISGBztfevXsxePBgKBQK6lByM0N+fn4YO3asYDZx2Shra2t5YzBhwgTY2Ni8UOOwuroaCoVCsH6/xsZGODk5ITo6mjpbFy9ehIGBAQ2gdZ83dp980dz3Jtjfv3v3bppp5vIqHD16FAYGBoiNjeVJr+mLkIoFu/4SExN5PeqsHZWVlRgwYABGjx6td2ZotvJmzJgxiIqKwsaNG2kgsLa2FiEhITA0NMSSJUvoz7DjyzqSZmZmgp3Hzc3NyMvLQ2JiIjw8PLBw4UKa+e7s7KRVIgsXLtSqSGPtE4vFPPmh1/jx+K92JtVqNS5duoQjR45oHfLc6M38+fOhUCjw6NEjtLS04MKFCygsLMT8+fMxdOhQqmEmJFh7lEolNm3aBACYPn06ZDIZgC6pDYZhsGzZMgDAkSNHYGRkhDNnzghuW3cbVSoV/dy0tDSEhobqtHHfvn0wNDTE9evX9c5+9q+wxnEdECFw5coVREdHY+DAgVi/fj3ve4sWLYKBgQHGjBmD8+fP8773ww8/IDg4GLGxsYJHG39KEjnd19KtW7d0ymrs378fdnZ2Pyqb1Vs2sXqqP9ahFPq5ePbsGSoqKnD//v0X0p0HBARQWYgLFy5g7969yMvLQ2xsLGJjYwVzfI8ePUqdVyMjI5optba2hr+/P7KyslBYWIiTJ09i7969EIlEGD9+vCCafT8GBQUF6N+/P81clZWVYdOmTbC2toalpSW8vLywd+9eLcdRyMDBP9NQA7ocSm9vb0rKou9LMhfsHrNv3z6YmpoiJSVFZznys2fPkJGRARcXF71mCoqLi2FqaoqhQ4fScrdNmzbB2dkZXl5evGAGywzNakv2Nlg2yvDwcN4Ysc7s1q1bIZFI/mlpslDrr729HfHx8QgKCuI5tFVVVRCLxVoVNezcX758GdbW1pgwYYJeiakuXrwIhmFolrazs/OfOpT6vruw6y8hIYHnUN67dw8DBgzAqFGj9C4hpVQq4evrCz8/P4SFhcHX1xeJiYm4e/cunb8nT54gODgYgwcPxoYNG+i4NTY20oykUI6kUqmEt7c3goKCqF5zTEwM77lob29HVlYWRCIRVq9eTR1NlUqFzMxMQe37OeC/1plUKpWIiYmhJXlOTk7UAeq+eR08eBAMw+iVzY4Lbh28XC7HkCFD8OzZM9r/FxsbCyMjIx7z5zfffAMnJye9sYuxNra2tsLe3h7h4eHo6OjA119/DYZhkJmZCSMjI97hsXLlSshkMr1mT9mD4VVgjbt+/TqNvF67dg1JSUmwtrbmlUQplUrk5+eDYRgMGjSIlhlmZWXB398fwcHB9OInpEP5qkvk6EL3DEt1dTVOnDiBBw8eoKamBpmZmQgICNDb+mPtUCqVmDBhAkQiEU/AnutQ6kNftaysDIGBgejfvz/MzMwwadIkrRJGlg0yJCQEQ4cO1fod3GxQb176ysvLqUN47NgxMAyDhIQE7NixA2fPnsW8efMQHR0Ne3t7GBoaQiQSwdbWljqeCQkJ9FkWGtwxaGlpgZ+fH5KTk2kp1dWrVyEWixEeHg4/Pz8wDAN7e3tkZWUJ3n/4Ig219vZ2Hgs0W/Lq7OyMY8eO6SUz/qI969mzZ1i8eDGMjY0RGRmJoqIi1NXVobW1FQcOHMDo0aN/lKP0n4LrULDzzHUo2aqRXbt2QS6XQywWY/HixVi4cCFGjhwJKysrwXqsvvzySzAMg3Xr1tFMFHfe0tLSIJPJ9O5csGhpacHZs2d554ZGo0F9fT3s7e2RmZkJQPt8aGlpgY+PD3x9ffViO7t3PX36FE5OTli5ciXv9e4OZXx8vFZwVyi8aP0lJCTQ9b9o0SJkZGTofa6bm5vh5eWFyMhI3Lhxg95HuJVIrN1sySvrUCqVSkybNk1QR625uRm+vr6IjIyk5cGsAoIusGfz6tWrUVNTgylTprx2JHsB/5XOpFKphIuLCxQKBdavX481a9ZALpfD1dVVZ2nAhQsXwDAMdTa7k0AIgbq6Ol5dt1qtxooVKxATE4N79+5Bo9GgtbUVc+bMobICQJczd+vWLQQFBSExMVGv9fGtra3YsWMHkpKScO/ePXR2dkKtVlOSkbFjx9LxqqiogEKhQFpa2ktxNO7fvw87OzsMHz6cOpK1tbVaDpBQmkKlpaVgGIanZdiTQwl0XahHjx5NhbEVCgXmzp1LLw5CXfx+ChI5LLjriJ3HqqoqbNq0Cc+fP8epU6dgYGAAW1tbuLm5wc7OTrCL6D/rU5bJZLC1tYVEItHKUI4cOVLwHtPS0lKIxWIkJycjLy8PkyZNAsMwWLNmDe997DzPmDEDTk5OqKur4wlOs+jNZ/jJkydasjJFRUWUlIPr8NbV1eHatWu0JzY1NRUWFhYICgp6KXTznZ2dWLBgAezs7FBfX48ffvgBlpaWSE1NRW1tLVpaWlBYWAiFQgFbW1tBS3K5GmqsY91dQ23ixIm8uWMdSldXVxw+fFjQfeVFQQj2c+vq6rB161bY29vD2NgYEokEtra2cHV11SJF6W3osou7ptgLfWxsLA043r17F9OnT4eTkxPtERRSMkelUiElJQUWFhYoLCzknVeLFi2CiYkJzp07p2W70GhqaqKf29PeoFAoaNCZ+57nz59j48aNWLp0qWCtESqVCvn5+Th27Biqqqp4ZIWJiYmIj4/X+hl2/Nj2iBEjRgha9v1j1198fDwNvOkzi8tixYoVUCgU+OGHH7Tm+tGjRygqKsLJkyfpXNbU1CAoKAgymQz+/v6CO2obNmxAaGgobt68qTU+N2/exLZt27B9+3Zeb/uECRNgamoKLy8vmJubv3YkewH/dc4kN1LLLY1ZtmwZRCKRTnKBuro6iMVimvkTclPu7OykvTdsE3JHRweys7NhZWUFuVzO+/y7d+9SAgeFQoHg4GB4eXnBz89PLxkrFh0dHcjKyoKRkRGCgoJ4Tnl5eTl1KEeNGoXExET4+PjAx8eHp0OpL7xs1rjS0lKIRCLMnj1bqxH8ypUrPTqUarUaTU1NqKqq4vXk9PYBolartYIqbC/G7t27dX4u61CKxWLBiXbUajVOnTqFNWvW4JtvvkFJSYnW94Gush+RSISsrCz6LJSUlGDTpk3Yvn27YBf5trY2+Pj48LKO7DpXq9Xw8PBAaGgoLl68iMzMTFhZWfEcykuXLmHcuHGCXZTZ9Tdr1izeupfL5YiOjta5ntauXQsTExO9kIyp1WrY2trS0kD2eWQdyri4uBcyd1ZXV+t0eHsLzc3NyM/Px6RJk5CXl6dVUltfXw8bGxskJydDIpHw9nIWjx8/fqE27H+K9vZ2uLm5QSwW04AJe9H7ZxpqNTU1sLOzg6+vb4/ELf8J1Go1hg4dynNkuWuO/fedO3ewfft2AP8gACsoKMDKlStRXl4uqG5jU1MT5HI5EhMTkZmZiQMHDuDq1ataWZ/i4mKIxWLExsbySFFqa2speZbQaGlpwfDhw9G/f3/s3LkTALBkyRKIRCLs379f8M/vjs7OTkyfPh0Mw2ixpLPfB7r68L28vHhzz/amMQwjWDZXo9EgISGBVjH0798fXl5emDBhArZt24asrCwkJCRo2cv+LNB1jgjJAfDvrD9uYFSf96kRI0YgKSmJ91pzczOmTZtGiSxZMkuW1bi2thYeHh4wMzMTvLIgKysLQ4YM4d2ZmpqakJWVxatmGTx4MG0z6uzspHwL+mCv/jngv0pnUqVSER8fH/LZZ5+ROXPmkI8//ph0dHSQN954g3zwwQfkD3/4A3n//fepjgz7///5n/8hH330Eblz5w4hhAiqj9enTx/ywQcfkObmZnL06FGiUChIv379iK2tLamoqCAnT54ku3btIn5+foQQQv74xz+S5ORk4uzsTHbu3Eneffdd8oc//IGEhYWRN954g/59QqNfv35ELBaTW7dukVu3bpEHDx6Qv/71r4QQQgwMDMiMGTOIubk5OX36NHn77beJi4sLSUxM1KuNhBDS2dlJ58/c3Jx8/PHH5NNPPyXvvvsufY+Q83vhwgUSHR1NIiIiSHJyMu9zCSHE2NiYpKSkkEWLFpGvvvqK9OnTh4SHhxNCutbGu+++y/sZAL2qxdTa2kr8/f3JkydPyO9+9ztibGxMGIYhv/rVr0jfvn1Je3s7fS/3c//617+SUaNGkcbGRjJr1izi4OBAfvnLX/aaXSxUKhUZPnw4qa6uJk+fPiUajYYAIHK5nERERBBTU1Py1ltvkdu3b5OwsDDi5uZGxo4dSzU6bWxsiI2NTa/bxYVSqSRmZmZkzZo15N133yXJycnkjTfeIG1tbcTf35+89957ZP78+eTTTz+lGlu7du0iffv2JePHjydmZmbE0NCQp/XYWzh37hyJjo4moaGhJD09nbz99tuks7OTdHR0kA8//JD86U9/IgAIIV1ri9XR+8tf/kLa2trIvXv3BNXvYzUs//jHP5Lq6mpCCKHaqYMHDyaLFy8mI0aMIH379iUpKSnE2NiY/hy7Hn//+99rvdZbUKlUJDIykjx9+pS0tbWRxsZGUlpaSnJzc8kHH3xAOjo6yP/8z/8QX19fsmrVKuLi4kKmTJlC9U7Z/ed///d/e9Wu7njjjTeITCYjK1euJN9++y35zW9+Qz7++ON/qqGm0WjI7373O7Jt2zbS1tamtT/1BtRqNXnjjTfI6dOnyZw5c6hGqUajIYR07SvV1dXEx8eHODg4EE9PT/Luu+8SX1/fXrelJ1y4cIGeZYQQsn//ftLU1EQ++ugj8ve//52IRCJiYWFBPvvsM7JgwQKSmppKli9fTqKjo4mxsXGP2nlC4O233ya5ubkkPT2dzJ49mxw+fJgcO3aM5ObmEplMpjc7WPTp04f4+fmRBw8e0LPMzs6Ofp/dUxiGIefPn6dnjUqlInPnziV79uwhO3fuJH/84x8Fsa9v374kMzOTzJo1i5w4cYJUVlaSS5cukePHj5MjR46Q+vp6Qggh33//PXFyctLSbAYg+Bny76y/goICEhMTQ4yMjAS9w3DR0dFB+vXrR9rb20lLSwtRq9XkzJkzZPHixeTWrVvkT3/6E8nOziaNjY3ku+++I19++SVZtmwZ+fjjj8n69etJS0sL+b//+z9BbGPPMVYPtqmpiTx69IicP3+erFixgty+fZv87W9/I5MmTSJ9+vQha9euJXv37iX+/v7k3XffJTNmzCBjxozR0iF/jX8TL82N7WW0tLTAwcEBwcHBtHeEjYipVCoEBAQgISEBSqVSJ72zv78/AgMD0draKmhZJresrDvT6blz56j0AleLp6colL5KHrjyGQcOHIBMJsPAgQN5mVUW3cv/hLSx+zyxn1VbW0ujivpkjXv06BGNInLLkb777jsUFBRg+vTpOHXqFNRqNSorKzF8+HBYWVnxSHmELgl+lSVyWEbK8PBwFBcXQ6VS4dKlS1i0aBEsLCzg7e2NQ4cOob29HSNHjkRsbOxL6xWqra3FnDlzKLsyAHh6eurU13rw4AEmT54smE4ji7KyMpiammLq1KkA+LqNV65cwYABA7Bz506dpY11dXVgGEZLOqc3wV3bWVlZVO+NLYNjv89mKBMSEvTax87KL4SHh+P8+fOoqqrCvn37wDAMNmzYwHvvxYsXYWpqKuh8/hjk5eWBYRgsXrwYDx48eGFGUqVSYePGjTxykd4GO4fPnj3D2LFj4eDggOzsbN7c3717F2KxGGPHjuXtk/poh2hubqbP5759+yCRSBAWFob8/HwUFxdj8uTJ8PX1hbm5ORiGgYmJCRQKBcRiMRiGwbBhw7T0WPWFlpYWWiI/ZcoUvbN5dse1a9cQFxcHMzMzHDt2TOv7rDzIrVu3KPmJPnrTdN2XOjs78fz5c1y/fh1ff/01AgMD4eTkhO+//573HqHxU1x/K1euBMMwCAoKgqenJxiGgYuLCxYuXMjjI9i8eTMcHBx4rRL6wNmzZyESiSCTyeh9xsPDA0uWLOFVh1y8eBFGRkY6y3Vf4z/Hf40zWVZWBgsLCwQHB9OeQ6DrAuzv7w+GYeDs7AypVAorKyvExcVh9uzZKCsrw40bN7Blyxa9prtPnToFkUikVcLHan0NHDiQ51By+w5exoPA/cyDBw9CJpPBwcGBboysEymUbW1tbbh79y4OHDiAc+fOabH7sY5kZWUlvVwB/2CNmzhxol42uJSUFNjZ2dGARXZ2NsRiMQYNGgSpVErLMpVKJW7duoXhw4drlbzqUzLiVZHI4TJSdmdfbWtrw8mTJ2FtbQ0vLy+UlZWhsbGR1wcjNNRqNW7fvo2SkhLaR9PQ0EBL0Pv374/Q0FAtR5JLDjRz5kxBNfzGjRsHhmHw5Zdf8pzs69evUyIyhUIBS0tLREdHY+rUqTh9+jRu376N8vJyJCUlCbL26uvrtcop8/PzIZFIeGWQXCIK1qFMTEzExYsXe92m7uguv8CioqICVlZWvP5OFllZWbC0tHxpzLIsvvjiC7oGAwMDtaRBgH9oqOnDXnaP6MmhnDBhAlJSUvQeCGpvb0dgYCANtgDAzp07IZVKERcXx7ukP378GCUlJdi4cSOGDRuG8PBwGBoawtLSUhCNPLVa/cIgHTumTU1NSElJoSWvQpQp92Tf4cOHcejQIdorCeh2KNl5PnXqFBiGwZEjRzB16lTBSVjy8/MxcuRI+Pv7Y/369TwClu5n/4kTJxASEgIHBwcUFxcLYlN3vMrrTxe4d7m8vDz4+fnBx8cHM2fO5LXisHe/DRs2QC6XC74mdd3jvv/+ewQGBiIqKgpz587Fw4cPtdrAduzYAXd395cWgP5vx3+NM9ne3o6SkhIMHDgQoaGhqKuro/1LPj4+tI/qyy+/pCyBbC21g4ODoP0t3dHZ2Ym6ujpERUUhIyNDS0D1zJkziIqKgp2dnV6F4P8ZdDmUgwYNopcvoZw1lUqFpKQkqoFnZmaG2NhYLW2t27dvw9bWFqNGjaL9Nm1tbQgICICnp6egzge7sba0tFDms6KiIri5ueG7777DgwcP0NnZidmzZ0MkEtFsJCtqz3Uot27d2qvRx1ddIkelUlFHksvQ2T0wUVJSAgsLC6SlpQliR09gmaEHDhwIhmHg6uqKrVu3Qq1Wo66uDl9++SVMTU0xe/Zsnbaz/xY6SNDR0YHU1FRIpVJ8+eWXALqcITMzMyQmJmLx4sVYvnw5EhMT4ezsTPc/hmGwceNGQey8evUqpFIpvLy8kJGRgSVLluDIkSPYsmULpFKp1uWS+9ksy3ZOTk6v2aMLuohs2Mv7rVu3tPRL2e999913VP5A6CqRlpYW7Nq1C9nZ2cjJycHXX3/N2/9YrdCpU6dqnSdCa6jp0n9k95W6ujqMGTMGDg4OmD17Nj379BkIYqFWq+Hl5YVp06bxXi8sLISVlRViY2NfKLV148YNQRiEVSoVgoKCaIVDd3ClF9RqNdRqNe2hLCwsFHwslUolIiIiaEDK1NSUF/wsLy/XmaGsq6vDgAED4OjoCFNTU8GqDJRKJXx8fBAYGIiIiAiEh4cjNjYWt2/f1nov97w7duwYIiIiIBaLdfZ+9jZe1fXHovsz3NnZyduPu/cIc8eyrq4OKSkpGDVqFK93sTfRfY/t/nVbWxvPXu7f09DQgDFjxmDYsGF6C8D83PBf40wCXYunpKQEUqkUCoVCSxSZRUdHB+rr63HixAksW7bspZWtrFq1CsbGxti2bZvWBe7s2bOIjY0FwzBa2cuXie4Opbu7O0QikU6dsN6ASqWCq6srIiIisHPnTtTV1aGoqAgHDhyg72lvb0dzczOcnZ2RmJhINzzW1vLycp0HS2+AG01mI2GHDx+GTCaDs7Mz5s2bp7W5pqWlwdnZmWa4rl+/juTkZAwcOBAeHh6wtrbuNfKYn4JEzsaNG8EwDPLy8l54ELW3t9NL85EjR/RiG1t6GxkZia1bt2LHjh3w9/eHRCKhz2V1dTXmzZvHy4jrG+z+0dHRgeTkZNjZ2VGR6OnTp/MuAZ2dnWhtbUVZWRkKCgowadIkQRzdzs5OFBcXY/To0Rg+fDgcHBwgEomoliTDMBgyZAjGjh2L1atXo7S0FLdv3+Y5JxcuXBDUCW9vb4eXlxdEIpGWo6VWqzFkyBCYmJhgz549+Prrr1FWVsarilAoFPD19RXsAgV0rcGgoCA4OzvD3t6eBjXkcjnWr19Px4qVkViwYAG9dDY1NQmqodbU1IQJEyYgJycHx48fR1lZGVpaWnjvqaurQ0ZGBqRSKWbNmiUoeVJPYD8rIyMDYWFhAMCbs8LCQlhbWyMuLo4nCcFK5wgFpVIJDw8PShTX3THvXnHDllu3tLRQmaHdu3cLZqNSqYSzszNCQ0Oxbds27NmzB4GBgZBKpbxKLl0OZV1dHczMzMAwDH744QdB7GtuboaPjw+ioqJw8+ZNOqc9aQt3H9/Dhw8jLi5OMDIgFq/q+mOhVCoRHx+PzZs38zLPXDu5zys3+XL37l1MmjQJEolEUHZeX19fzJo1C6dPn9bab7szBnPX5q1btzBp0iQMGDBAsHX4Gv9lziTwD4fSzc0NDMPw6IC5Fy59ovuhyV306enpsLS0xPfff6/1gJw4cQIzZ858KXTQLwLX/t27d2PUqFGC2KhWq5GQkICYmBjcv3+fjiP3s9atW4cVK1bg6dOnOHfunF4j3jU1NZBKpVqRRqVSSXvkuFIM7PwWFRWhf//+vCDG9evXaca8tzKAPwWJHKAr4p6dnQ0jIyOsXr36hXTs165dg6mpqVYPmxBge+giIyN5pUX379+Hs7Mzhg0bRl979OgR5s6d+1IdSq5mGnvR9PPz48lGsD2KuiB05lSpVKKmpgYnT57EmjVraO+Nl5cXL0vq4uKCwYMHawWMhEJBQQGMjIwwffp0GsRpa2uDXC6HkZER7OzseKyF/fv3R1paGrKzs7Fr1y6qQygEuMEM9ix7+vQpSkpKYG9vD7FYjNzcXPqsch3KqqoqTJ48WdDywoKCAjouFhYWMDMzg0wmQ1xcHPLy8nD48GE8evQIKpUKY8eOhbu7O7Kzs/XqUHI/Y+HChbCxsdHZlsFe6IcOHcq70AvpqDk6OiIxMREZGRnw9vbmfZ/93Lt370IqlSItLY3HcNvc3IzRo0cLFijl7n/c0u9NmzZBJBJptQVxHcqjR48C6JJmEJIVtaCgAEOGDNEpC1FdXY19+/ahuLiYt/67O5T6LMt8ldYfF7Nnz6ZtEDY2NsjMzOyx/HfdunUwNzdHVlYWUlNTERwcDAcHB8EqlwBg+/bttIeU7Qs/fvy4zqD7zp07wTAMUlNTERsbSwNxr1lbhcV/nTMJdF2qSkpKYGdnhyFDhgh62PeEmzdvYuvWrfTr7ocm+/XTp08xdOhQWFhYYMuWLVpZVK4A9asEXf2bvW3j2bNn4ePjw2uS537GV199RS8yq1at0nvpVG1tLaysrMAwDGbNmsX7Xk1NDTZs2EAzttyDbuPGjZDJZFpluuXl5b3WD/GqS+QA/LlsbW3FtGnTYGhoiNWrV2sFVrjrzNbWFvPnzxfUNrb0Ni4uTmcP57BhwxAUFMSzk3UoRSIR5s2bJ6h9PYHrUKampsLGxgYLFy7UytZ3/3dvoq6uDjdu3MDdu3d5l9/u+0NoaCiSkpLQ1NSEy5cv49ChQ1i+fDmGDx+OhIQEve55rHObk5ODe/fu0QvL1atXUVtbi8ePH6OoqAj5+fkIDw+nPcVCZjS4fcT379/Xktl49OgRAgICIBaLeUGrRYsWQSQSwcnJSTANNbVaDaVSifv372P+/PmwsbGBr68viouLMXbsWMjlcloNYWhoCIVCgZCQEIjFYkilUkydOlXwS7Ku9bNnzx6YmZnx9mXuPsde6BMTE19Ycvifgs34hYeH49mzZ9i/fz8kEomWXFBDQwPs7OyQlJSk114v1pGMiIigjiQ7nvv374ebmxt1ErtnhIYNGwaGYXSS8vQ20tLSMHToUN5rrGyFg4MDvR84OTlptQz9nNdfd1RUVMDT0xOTJ0/G1q1bMXDgQFhbWyMkJARFRUX0DtHZ2YmrV68iOTkZLi4u8PPzo3umkLh16xbi4uKwdOlSrF+/HiEhIZR0p6CggBeYv3z5MnJycuDp6YmQkBB88cUXL72v/eeA/zpnkvsAsyWvISEhVHRYaHR2dqK5uRmxsbGwtrZ+oUPJgq3nNjExQXp6Ok6cOKEXWwHdG+qP3WS5DpIQzHJLlizBwIEDdR6i7IWJ7eljGAYrVqzodRt6ApvhiYyMpALW3TOU7DhWVFTgypUraGlpwdWrVxEcHIzk5GRBI95OTk6IiorSughs27YNbm5uqKur0woIaDQayGQyjB8/XhC7WDQ1NWHevHlISEjAiBEjsHXrVtrvMH369B4dSqCL8Xjw4MG8AENvo729nWb2uD103PUeGhqKuLg4rTKkR48eYdq0abC0tBSk9PvHrBku8cDIkSNha2vLI+URMkhQVlYGPz8/iMViGBkZYfTo0VptBOw4RkVFITw8/IW/T58O5apVq2hPWEBAgE4iG6Brr6uvrxeUCEOlUsHJyQmBgYE6+/m5DqWTkxPc3d15F6YvvvgCJiYmgkTj1Wo1fHx8aOa4qqqKElEtW7aMvq+iooJmoYcNG4YhQ4bQy71EItHq7exNNDU1ITg4GGFhYcjJyUFhYSHKyspw9uxZGBkZaZ2x3GebzWykpKRolez2lm0DBgxAdHQ0DShWVFSAYRjs2bOH996amhp8++23enUkW1tbIZfLKduyRqOh49Pc3IzAwECEh4ejtraWclNwcePGDYwYMUKwjGRHRwfUajXdpxMTE9HQ0IDHjx9j3759kMvlYBgGbm5uKCwspKL2UVFRUKlUesn0vcrrTxfq6+sxcuRISsJWW1uL1atXIzIyEgzDwN7eHmvWrOG1wNTX19N50AdSUlIQEBBA75rbtm3DlClTwDAMZDIZxowZgx9++IF+n12Xr5lb9YOfvM4k/r8+ECFdGlpvvPEGuXv3LikvLyceHh5k3rx5ZNy4cSQzM5NMmzaN/PnPfxbUnj59+pB33nmHpKSkkC+//JKsXLmSaDQaEhISQvr27cvTQWTx/vvvk3nz5hEzMzNy5MgRkpSURDw8PIiRkREZNGgQ+e1vfyuIph+r/4iuoALp6Oggb731Fh3PFwEc/cMdO3aQp0+fkpiYmF7VzmtoaCC/+MUvyDvvvMN7/cSJE+Trr78mc+fOJe7u7qStrY1UVVWRNWvWEHd3d8F0jbjo06cP6devH/njH/9IAJC///3vZM+ePVTjipCu9ahWq8mSJUtIUVERee+998j7779PfvWrX5EvvviC9OnTR+d6+E/Q2tpK5HI5+fjjj8ncuXPJRx99RJ+LpqYmsmXLFvLZZ5+Rt956izx+/Jh8/PHHdL779u1L3nvvPXL79m2iVqt/9Fr4V6BSqUhwcDDp27cvef/990llZSUpLi4m1dXVJC0tjYwaNYr06dOHzJ07lxBCSGhoKPnFL35BCCGksbGRbN++nbzzzjvEyMioV+3ior29nZiYmJDz58+T9PR0sn79ep5O3hdffEGuXr1Ktm3bRp8fFh999BEZPnw4SU5OJr/97W973bbu89FdaxEAefPNN8m5c+fIRx99RHJzc8nIkSPJtm3bSL9+/UhUVBT51a9+1et2EdKlcRkfH0/s7OyIq6srqaurI+vWrSN///vfyd///netv8HY2Jjs2bOHPH78mHz44Yda+yOAXtenbW1tJXv37iVXr14lAMhnn31G3NzcyMcff0z3rxkzZpC//OUvdL5ZW1jbde1JvY3y8nLy4MEDwjAMefLkCfmf//kfage792g0GvLRRx+ROXPmkPDwcPL999+TqKgoQgghaWlpJDo6mv5cb6K5uZlUV1eTZ8+eEUII+cMf/kAiIiJIZ2cn+eKLL8izZ8/IhAkTyF/+8hfyl7/8hdja2pKoqCgCgFRUVJCGhgby0UcfCarvdv36dfL222+Tjo4OsmPHDtLY2EgIIeStt94iffv2JStWrCCnTp0if/zjH4mxsTF5//33qb6qn58f+fWvf03+/Oc/k7fffrvXbbt16xZxcXEhI0eOJB999BEhpGsMxWIxOXDgAJHJZKRfv36kX79+5He/+x1xc3PrdRtehCtXrpA+ffqQ2tpaUl5eTvfatrY2Eh4eTq5du0Y++OAD4ubmRlpbW8lnn31GpFIpsbCwIJ9//jkxNjYmX3zxhSDa0kqlkowYMYKMHTuWGBsbEycnJ5KRkUFiY2NJU1MTqaysJJ9//jkZMWIEiYiIIO+//z4hpOuONXXqVKJSqQS5S3XHq7z+uABHa93Dw4OkpqaS48ePE0dHRxIdHU0GDhxIfHx8yLvvvkvmzJlD3nvvPSKTyYiLiwsxNzcXRCu5O9gzLj09nSgUCrJixQqSmppKAgMDyV/+8heyfft28stf/pIcOXKEHDhwgJiZmREfHx9iZ2enVz3Ynz1eigv7b6ClpQWbN29GVlYWMjIysG3bNl6EnY3sVFVVwcTEBMOGDaM9QqdOnYKxsTHi4uK0dBCFxOXLlxEeHg6ZTIbNmzfT13sqeQW66NTPnj2LmTNnIioqCikpKVoMnL0Brgbn9OnTERERgZiYGGRnZ6O+vv6F2QtupGfdunVgGIYnY/Kfgv39K1asgFgs1pIGaG5u1qrPDw0NRURERK/Z8M/Ajk9+fj7S09PR1NSEKVOmwMrKCnPnzgXQNTYqlQp37tzB0qVLsXjxYhQWFtKxFyKi9ypL5HB7cNheh8bGRigUClhbW9Pqgfr6esycOZOXoWxubqaMlProfWA1+QYMGIDQ0FD6+sKFCyESiWhWRp8kIlVVVdi9ezdyc3ORl5enVQ3APjd79uwBwzA4ePAgtZHNtHIrJXoTpaWlEIlEmDVrFq+0NTAwEKGhoTr33a1bt8LIyEhw8gsWSqUSAQEBGDx4MAYPHgwnJyf6POTn59MsAJuhnD59umCaqj2hqamJypBwe39u3LhB39OdoOX58+dwd3fHhAkT9BKFb2trg52dnVap+cOHD5GdnQ2GYTBnzhze+/WF7gyUQJfMQkVFBYqKipCXlwexWAyJRAKpVEozpaampvDz84NCocCmTZsEsU2lUlHSLl1jkpubC3Nzcyppoc+9BeATwpw8eRIBAQEwNzenJYweHh4IDAzEzp07ceLECWzZsgXjxo1DYGAgHUepVNpjRv8/Bds/7O/vz/uMzZs3w9PTEwEBAcjOzubJVrBrYcuWLZDL5S/sx+8NvMrrj0VzczPOnz+vJZ3R2dmJ2NhYShBUXl4OiUSC5ORkPHjwAKdPn0ZycjKdZ6GYZZuamnT2ayqVSowYMQIKhYLaZ2lpibS0NFRWVqK6uhrTpk2DRCKBRCIRlPn2NbTxk3AmlUol/P39IZfL4ePjAxsbG4wcOZJucuwBWllZif79++sUQz579qxeLi1sDTxr0491KHvSkBRSsqSpqQmurq7w9/fHuHHjMG7cOEilUnh6euLkyZP/tAR27dq1MDQ07LULavfPu3v3LoyNjTFlyhT6mq5D+MyZM/D09KR2CHGhunTpEg4fPqz1+oULFzBo0CA0NTWhqqoKs2bNgrW1NczMzBAeHt7j4SUUqdKrKpGjq/SWWwbMMAx27txJ39/Q0EAdyuXLlwvKSMna0tLSgmfPntG9Q6lUUocyJiYGeXl5MDY2xu7duwWx4UU4f/48ZDIZ5HI5LC0tYWpqioULF2qVmO3evRumpqZYunQprzyto6MDubm5gqw71pGcOXMmdXA1Gg3a2toQHx+PzMxMHuEEa8OZM2fAMAwl6xASXCIbNjjV2NiIsrIyykg9Y8YMLYdy2rRpetN1A7ocCoZhaFnjjh07/qlDCQC+vr5IT08X3D52vYWHh9PP455lPTmU+iCR45bPT5gwoUdZrfj4eISFheHRo0dUyy8nJwdDhgyBXC7X6lvsDbD9ryNHjuyxH7y6uhoDBw7EzJkz9V6ap1QqYWlpyTvLT548CT8/P/Tv3x+Ojo4IDw/XyZLa2dmJsrIy7Nu3T7A7Flv2zZXv4aKpqYl31nLX27NnzzBq1CikpKQI6ky+yuuPi5EjR0IsFuPYsWNa96mCggLY29tj69atkEgkSEpKwuPHj+l6VCqVuH37dq+xzesC27bETVCwn19SUgJDQ0MsWbIEVlZWSE5O5pFDAV1OZvfXXkN4vPLOZFNTE+RyOSIiIuhFsrm5WSs70d7ejuHDhyM1NVXvoqQ1NTUvlBe5ePEiwsPDMXjw4Bc6lFxwo0VCoLOzE3PnzkVAQACPDS4vLw8Mw+DUqVO8i2F3W9auXQsDA4NecSTZ3/vw4UOe0DAAejFhSWG6o76+HuPGjYO3t7dgG0hpaSmMjIyQl5enNR8VFRWQSCS4dOkSgK7skUQigYmJCTIyMuj79Nn79apJ5LS0tMDBwQHBwcE80iE26FJeXg5zc3N88803WtpQLMucSCQSjC2uqakJM2bMQEhICGxtbaFQKOilqLm5GRs3bqRON3tB0CfDcllZGcRiMaZPn47y8nKo1WpcvHhR6+J2+/ZtyibL3Vu6r73etL2srAympqbIysoCANpjBXRpTA4YMABbtmzRSS+vVCrBMAzWrl3ba/boApfIhtV7BfjVGZGRkTA2NsbSpUvpeK1ZswYikQjjx4/X2+Xk2rVrsLGxwYIFC+hYFRYW6nQoWdy4cQPe3t68s0VoZGVlQSaT6SQ94zqUQhNlsVAqlZDL5bC3t4enpydEIhFsbGx4gQr24jxp0iS4ublp/Y6WlhZBSNx6YkXtDrVajfT0dMjlctr/qi9ZCBcXF4SFhaG2tpb3mSdPnkR0dDQYhqHZIlaGQV8OLysLYWNjw+sL5trA3Ve4zubt27epbIWQTtqrvP664/79+/Dz84OzszOOHj3KOx86Ojpoz2laWhqv719f833r1i2MGTMGRkZGNHDLzrVarUZ8fDztKeXeaV41ksqfG155Z3LhwoVQKBSUfZK7oBsbG1FSUoLS0lJoNBpUV1fr3ZGsrKyEmZkZDA0NERAQgPj4eKxbtw7FxcWoq6ujG8idO3cQHh4OT09PWsYE6L+UhYv4+HgkJCTQr/fs2QNDQ0OsWbMGxcXFvMhy99LW3nIkm5qakJubi7CwMIjFYlhZWSEsLAy7d+/G8+fPUVtbi8TERMq0yCVSOnXqFDIyMjBgwADBSh+55XtcCnHuvCkUChw+fBgdHR3w9PSEn58fzfIKTWbTE14liZxLly6hf//+CAkJ0XlJys7OhkQi0VkeVVdXh6VLlwqmD6VUKuHu7o7g4GDMnDkT06dPx9ixY3H69Glqo0qlwvr16yGVSmkJEKCfw6u+vh6RkZGYPHkyGhoaeOtOrVajsbERp06dooLmP/zwg14dXVYCZ86cObys9rVr1yibp7+/P8RiMUJDQ5GRkYGjR4+ivLwcN2/eRGpqqqDj2NTUBEdHR/j7+2sFqoB/zKFSqYSXlxccHR15xCH5+fmwtLTUW8lUa2srYmJi4O/vz7tY9uRQPn/+HBMnToSLiwuPtbm3oFQqkZ6ejkWLFmHXrl04f/48WlpakJeXB5lMxsv0cOfx/v37lJRn4cKFvW5XdxtZZ409ByoqKmBgYIDc3Fyt92/evBmmpqY850JIMjQXFxcteaHuYD+/qqoK/fv351XjCHlH4LJ+s4G+7mNRXFyMoKAgmJub04CevvYYdm4lEglEIhGWLFnywuzipk2bwDAMJk2ahGHDhkGhUGDQoEGCyla8yuuvJ9TU1ND97ujRozyymvz8fEil0h4zq/rA3bt3MWrUKBgaGmLXrl28723atAlGRkY0c/maYOfVwCvvTCYkJGDixIm819RqNWbOnAmZTEZL9Ly9vemBr8/FdfPmTaqtZGpqiqSkJCrKbW5uDrlcjszMTBw8eBD5+fnw8fGBTCbDtm3b9GYjwB8TjUaD5uZmREREUK283bt389j4NmzYAAsLC9y9e5f3s+vXr+81R5K9wIWEhCArKwv79u3D3Llz4efnB4ZhkJ6ejidPnuDhw4fIzMyEoaEhpFIpLXmWy+UICQkRLKNWWloKU1NTzJo164VBihEjRmD06NHw8/NDUFAQlEolHj16hPT0dMTHx7+0gMGrIJEDdD2vJ0+ehK2tLcLDw3myJHl5eRCJRDh+/Di1uTuEGr/W1lYoFApERkbyxoZbIs9ekFUqFTZt2gRzc3OeQyn0paqmpgbOzs7Yv38/7/X79+9j8uTJdA8cNGgQ8vPzef2K+sL48eNhY2NDg0+3b9+GmZkZkpKSkJ+fj/Xr1yM1NZWKs7P/rV69mu4tQjmUly9fBsMwiIqKwuXLl+nruoThy8vLIRKJsGjRIt7vEKJnXRfYdX7x4kUYGxvzgo4A36G8efMm2trakJWVBTMzM8GCaQsWLICNjQ369+8PQ0NDGBkZwd7eHu7u7mAYBl988QWKi4tRVVVFsxjs2D5+/BgLFiwQPCPEOkPcrF97ezvkcjnNjHLn+9ChQ2AYhlaTCAWNRoOQkBD0798fLS0tdH7LysqwZs0a5ObmYvfu3Vplrxs2bICJiUmP1Ti9Ba4TxDqSXCkyrtYht4eSrRATeu9rbGyEi4sLoqOjcefOHeTm5sLAwACLFy/ukT3+3LlzyMrKgouLCwIDAzFv3jzBdWBf1fXHha47MVv15+/vj+LiYroOKysrYWFhQdnpX5az9vTpU6SlpUEkEvHOv87OTgQEBNDeydd4NfBKO5NtbW2IiYnBiBEjAHRtLkeOHIG3tzcYhoGrqyvWrl2Lr776im46+sKVK1doCr60tBRpaWkwNDTEvn37oFKpcPr0aSxYsABJSUkYOHAgbVpmS/YMDAx6FIXtbbAXNY1GQ8lMgK5Di2EYzJ49G0ZGRliyZAn9mby8PHh4ePCi49u2bQPDML3iCLMX+ejoaFRUVGhdJrOysmBgYIDU1FTU19ejs7MT165dQ3Z2NjIyMjB9+nQcO3ZMMHp5lUoFa2tryOVy3uvffPMNsrOzMWbMGKxfvx5qtRpr164FwzCIiYnhRZ/r6ur0Ks7NxcuWyNGF48ePU4dSpVJRR/JlRUCLiorg5eWFsrIyXnkm0PVML1++HFOnTkVRURHa2tqgVquxceNGWFtbw8vLSy82lpaWgmEY6iw8ePCAapExDIPAwEDk5ORg2LBhMDAwwKlTpwDo5wLAXWOjR4+GVCpFRkYGzMzMMH36dK0ATEdHB65du4aNGzdi6tSpgmYkVSoVjhw5AgD4/vvvwTAM4uLiUFZWRt/T3aFsamqCn58f0tLS9Pq8dv+s+vp6JCYmIjo6Gs+fP+dd2lmHMiUlBSkpKYL2EQP/KM27d+8eysrKsHXrVkydOhUTJkzgBQbY8y02NhZZWVn46quvBCfKUqlUGDx4MOLj4+lFnh3L6upq2Nvb69xbampqYGBggA0bNghqHwB8/fXXMDY2pnZ89913MDMzg5OTE70PjBgxgrcv19TUICkpCU5OTnj+/LkgzzLbQxwdHa01dmq1Gl5eXpgyZQpPmoJ1KCUSCe85EgKdnZ2Ijo6Gn58fTRKoVKoeHcruY8RWIQjp8P4U1h/379elWc4GI11cXFBcXEyzvl988QWMjY15FU1CoL29XSswwO45HR0dcHNzg6mpKS9DqdFosGLFCvTv3x/ffvutoPa9xo/HK+dMqtVqWu7G9vWx2QA/Pz8YGBjA0dER8+fP55UtFRQUwMvLi5dVEAps1GnkyJH0tbKyMiQkJPBYFLs3Le/btw8zZ85EYmIihgwZopdSEW5f0KhRo2jZx7Zt21BZWYmhQ4eCYRja8wR0ZRYCAwMxduxY3iZ96dIlLR2sfxd79+6Fj48Pzp07x+t74F6spk2bBoZh9NoLxMW6detgamqKoqIiAMDcuXNhamoKHx8f2lcwatQoHD58GPPmzeM1pXfPBAsNXZmWO3fu0MOMJeUJDw/n9cgKgdbWVhw9ehTLli3D/Pnzcfz4cRr1PHHiBKytrWFrawsTE5OXWkrDluqx6OjoQF1dHUaOHAkTExPeRZktV1KpVFi1ahUcHR0FKSvsDrVajcDAQAwaNAgzZsxAQEAARCIRPD09tTIXCoUCmZmZAPQXTebuYWPHjgXDMPDx8aEsqGxfbE97nRAOpUajQUJCAry9velrR44cAcMwGDp0aI8ZSqBrDJOTk3vdpu5oaWnB2bNnea9x94ldu3aBYRicO3cOAH+c2O8ZGRkJ4rCxc8bNyHYfp3v37sHNzQ15eXk4evQoVq1ahYyMDMjlcojFYohEIsF0Bll7hg0bxjtv2TWmVqsRGhpKe+1zcnKwfft2lJWV0eCosbExFixYIJh9LJ4+fYrx48fD29sbhYWF8PDwwKJFi1BVVYXHjx9j165d6N+/PyZPnsz7uRs3bghG/NTe3o64uDgwDKOlQ6xWqyGXyxEQEKDlIAFd58jgwYMxaNAgqNVqQfYZdh6rq6u1Wh+USuWPcih7IjTsLfwU1l9LSwtGjBjBc1rZc5gl5QsJCUFZWRm8vb3h5OSE4uJiSqjEMAyys7MFu6eq1WooFAqsXbuWjgu7DltbW+Hp6QmFQoHS0lKMHj0ahoaG+OabbwB0BdwYhsHYsWP12tbxGj3jldKZbGtrI0FBQcTExIQkJSWRTz/9lIwcOZI0NjaSy5cvk5aWFhIcHEwiIiLIH/7wB/KLX/yCaiWq1WqqsSY0+vXrRz799FPS1tZGXzM1NSUpKSmEEEI1Jll9qF/84hfkz3/+M/nzn/9MPDw8eL+ru06cELay4/ab3/yGWFtbk6dPn5Lf/OY35PPPPydDhw4lffv2JVu3biV9+/YlSqWS3L17l2g0GpKdnc3TQjQzMyNmZma9YtfZs2eJRqMhIpGIp3NIyD/GZPLkyeTGjRtk69atJCQkhBDC1xXl/lsIyGQycunSJbJ8+XJy584dcuzYMZKTk0MGDhxI+vXrR44ePUoyMjLI559/TsaMGcP7Wa5dva0j+c0335Dr16+T9vZ2YmFhQfz9/bXGrrq6mvj4+BCpVErc3NyItbU1mTdvHomPjyezZ88mS5YsEeRZUalUJDExkTx//pw8fvyY9OvXj5w6dYrMmjWLMAxDbGxsyPz588msWbPIL3/5S2JiYtLrNvxYfPzxx6SmpoZcvXqV/OY3vyFHjhwh69evJ/fu3SMWFhZk9OjR5Je//CUpLi4mixYtIh4eHoRhGBIaGkoCAgLIr3/9a8FtfPPNN0lCQgJZt24d+frrr8l7771HEhMTiUwmIwzDEEK6noPW1lbS3t5OdQWFfC64YPUO+/XrR+bOnUv69u1LiouLycaNG0l8fDx5//33eZq03Z9ZIbToWL3Ujo4O+tqgQYPIsmXLyLBhwwghhIwcOZKYmJjwbKmoqCBtbW1EIpH0uk1caDQaMmTIEHL9+nXi7e1NgoODibGxMXn77bfpXiuXy8n27dtJfn4++fLLL8m7775Lx87b25u8++675PPPPyd/+9vfetW25uZmkpOTQ3744QfS1tZGIiMjia+vL+nTpw9Pa/Ozzz4j7777Lrl58yYZMWIEsbe3p7+jpaWFtLS0CKKzyqJPnz5kxIgRpLq6mhQUFJBf//rXxMrKirS1tRF/f3/y8OFDYmJiQnbs2EGqq6tJZ2cn6dOnD/n9739PPvnkE/Lee+8RuVwumH3sveSDDz4g3t7e5NatW2Tz5s3kL3/5C4mIiKDPqbe3N2loaCDz5s0jAQEBxNTUlBBC6LMtBFpaWoiNjQ25cOECmTdvHsnOziZvvfUWUavVJCAggPzyl78kCxcupBp9ffv2pWvPxsaG5OTkkI8++kgQjcG2tjYSHBxMwsLCSFBQEH2d/fz33nuPxMfHE0IIWbx4MSGEkNjYWPLOO+/wnmX230Ltg6/6+iOEkCdPnpALFy6QyspK8u677xI/Pz/y1ltvkZaWFhIUFETee+89kpubSz755BOyfPlyEh8fT6ZNm0ZmzpxJbG1tSUxMDPH39xfsftq3b1/yi1/8gixatIi88847RCaTkffff5+0tbVprcP//d//JQDIhAkTCADi6+tLMjIyiJ2dnaD359f4F/ByfNiekZWVBUNDQ+Tk5FCyjo6ODtqHpgtPnz7FiBEjMGnSJL0xOuXk5GDw4MFoamriRUYuX75MM5SsFh3LRNWTHIjQyM/Ph6enp046Z5Yef+3atQgJCUFiYiLmz59Px7G3x5Mdg7i4OAwfPhyA7nFgx5RlVOT22ekTxcXF8PHxgYeHBzIzM7Wa/5csWQJLS0tBo/AsXnWJnKamJnh5eSEmJganT5/G8+fP8ezZM60yvLa2Npw4cQI2NjYIDw/nMfQJDa5sz9WrV2l/LpuJ9PPzw7p163i9hw8fPoSNjQ0tmxQKSqUStbW1KC4uxtWrV3lrvr29Hffu3etR9/Dq1asICAigpUC9ubf8mCw7l2J+/PjxsLa2xty5cykpj77KRllbv/nmGxgbG6OyshLt7e3087kZSm6pHktk4+TkJCjtPbuflpSUICcnBzY2NpBIJIiNjcXly5d5z+vy5cvh4OBA9xbu2hUCSqUSnp6ecHd3p3JWXAZjFuxZxjKPdv/b9Iny8nK4ublhyJAhOHnyJLy9vREcHIw7d+5QuZ8HDx5g27ZtmDt3Ltzc3ODm5iZIRre1tRXZ2dl0jrjPREFBARiGwejRo+lr7PuuX78OMzMzwdteWlpa6F77/PlzbNy4kbKOt7S0QC6XIzg4WGdGVKlUYv369YKWVANdVVFhYWEwMjLiVUF1X/fdM5Tcclx94lVafyzUajXtX75z5w68vLzg7u6O/fv306o6XfNcU1MDPz8/iMViHgGdEPaxEjNqtRojR46EmZkZ9uzZg7q6uh7tu3v3Lq1+KSoqek2884rhlXEmuZeNOXPm0F4+XQc7lzWwqqoKkyZNgrW1tV4u9OyBuXz5ckgkEnrp5C7snhzKl4WMjAwEBQVRB421pa6uDjNnzsQXX3wBADy2UkCYfgN2nqdMmQJnZ+ceHQn2fefOnYOBgQFu3Lih1zHkftaSJUvAMAyWLl2q9f3i4mKIRCJcvXpVUHtedYmczs5OLFiwAEOGDEFFRYVO56H7ZfP48eOwsbFBVFSU3oTru+PMmTPIy8vDlClTsHr1aqhUKrru2b/h6NGjkMlkgjHKAl3OYFJSEuzt7WFqagoDAwNYWlriiy++0LmvseVdbW1tuHXrFkJCQhAaGirIM9va2krlAHSBff3MmTPU1tGjR8PW1hYLFizg0cvrC+fOnQPDMDhz5gy1kbWTdSjj4uJw+fJlqNVqSmQjJOujWq2Gv78/li5dSufp6dOnmD17Nry8vGBgYIDhw4fTXny25JDrgAgFrnwKyxZ769YtuLi4IDExUef8r1q1CmZmZqipqXmp5xt7oReLxXB3d6fPhi6bnj59Khih0qVLlyiTKPvZXHKdLVu26NxDzp8/j0GDBmmVPfcmWlpaYGFhAalUSgmRnj9/jg0bNsDU1BRGRkZQKBQ6A/YqlQqTJk0CwzB6CfzduHGDlpD+GIfS2NgY8+fPf+kO5ctef0DXmAQGBmLLli00mHH79m3I5XK4u7vD3t4eCoWixz35wYMHCA0NFYxbgSV92rx5M68sOCUlBWZmZpBKpQgODuZxYXDHsaKiApMmTdLLXf81/jW8Ms5k974allZ89uzZvAjF8uXL4erqitmzZyMzMxNDhgzBwIEDBb0EPHz4EM+fP+dtVmfOnIGVlRUuXLhA7edGIi9fvozExESIRCItamN9IyMjA46OjvRr7jiPHj0aMpkMHR0dvNd7O7PRXRyXJZL4Z03oS5cuhUwm02K80we4DtG3336rcwPet28fXF1dBd/cXnWJHAAICwvDjBkzXujQtLW1Yf369XS8Tp48CSMjIyQmJmqtkd5Ca2srioqKMGPGDKSkpGDOnDkoLCzUsksXGhoaMH78eISFhQl2CTh//jwkEgnS09OxefNmVFZWorCwEGPGjIFIJEJsbCztnQO6nucRI0bQv8nf3x9+fn484oLewvXr15GcnEyZk1k7uvck7d27FwzD8AgRxo0bB4ZhtFhJhQT7tz958gSOjo5YtWoV7/XuDuXQoUORlJQkOJENi2HDhsHMzAzr1q2jPf8su/a6desQGRkJIyMjxMXFobCwEF9//TXCw8MFzWR0Z/Xk6nBGRERQvdzuZwLLAC4Um/a/ghs3bkAmk8HPz49HGqJPPcQ7d+7A2NgYIpEIaWlpOh1KoIuJuaKiAvX19bh//z7Gjx8PmUymUxqpt1BZWUlZ5l1dXemcPX/+HJs2bYJUKsWwYcO0xkqlUiErKwtisViwgGl7eztqa2tx8uRJ3LhxA0qlElVVVRg+fPiPcihnzZoFiUTyUoJWLF6F9cc+x0OGDKHOGHuHuX37Nry9vSESieieCOg+K4TqQWRlckJCQrSCFmq1GhkZGWAYBsuXL9dKbHAh1D3hNf4zvDLOJAvuxssKls+ePZuWd509exZ+fn5wcHCAp6cnpk6dKmhWo7y8HAzDwNDQEI6OjkhJScHixYuRn5+vswSIi7KyMgQGBiIkJASA8NlJNvPT2dnJywIdPXoUlpaWvCZ/dpOZM2cO4uLiBLOpubkZCxYsQGJiIrKysiiZDQAMHz4c/fv3x7Fjx+hr3DGqq6tDSkoKJkyYIEiz/49p0ueOKdAVJLh06RIqKyvp/MbGxgpexvcqS+RoNBo8ePAAZmZmdH57OpCOHj3KuyC0t7fj9OnTgpUxK5VKhIeHw9vbGy4uLoiJiaH6h0OHDsXVq1d5tp46dYruNZcuXUJGRgYsLCx0isX3Bu7du4fBgwdjxowZWjqISqUShYWFMDY2xtChQ1FdXY22tjakpKTA3t4eDMNALpdj2rRpgpSll5aWwtLSEqGhoYiMjISjoyNsbGy0qPZ37doFU1NTLFu2DBqNhjeeeXl5gjMqrly5EidOnMD9+/d5l5D4+HgkJiZq/Qy3qoB9boRmHuV+9vjx42FsbIx169bxqmyALie4pKQEoaGh8Pb2hlgsBsMw2L59uyD2qFQqODk5IS4uTotwpba2FjKZDGvWrNH5s1euXAHDMNixY4cgtv2rYDNECoWCl+XT1z7IjkdSUhIcHBwwatQonmMOdGUIV69eDVNTUwwaNAg+Pj6wt7cXfP21tLQgMzMTcrkcHh4eGDhwIN3T6uvrqRxJeno6nX+lUomsrCxBAy0qlQojR46Eq6srfRazsrLQ1taGa9euISkp6Z86lCqV6qU6kixe5vrjVhZ01wtl5/Pu3bt0/nfu3El/Vh8tCLr0TLt/bnNzM9LS0iAWi7F169aXEhB/jX8fL82ZbGpqQlxcHKZPn45Nmzbh1KlTaGpq0oo6zJ07lzqUbJ11W1sbampqdL6/t3H37l0UFhbiq6++QkZGBtzd3WFkZERpvQ0MDBAeHo6kpCTk5eXh0KFDtBdHrVajtrZWLw8rl7V1zpw5SElJwYYNG/DgwQNaxjVw4EDqULa1teHevXsICgriMbn2JpRKJeRyOQYNGgR3d3eYmZnB3t6ebrRnzpyBn58fzM3NUVhYyNNpqqiowOTJk2FjYyNY1o/tf+xOTd3dyTxx4gSKiorQ0NCABQsWUA1RV1dXhISE0DUo1Dy/yhI5LJ4/fw6pVIo5c+b803FwdHTE9OnTBbepqakJHh4eiImJwZkzZ2igqqqqCgUFBbCysoKfnx99XouKiqhmo7u7O1xcXATrb2HX1pYtW+Dt7c1zVrs7X4WFhTA0NKTsrR0dHXj27Blu3rzJW7u96bSVlpZCJBJhxowZ9LksKSmBsbExvvzyS/q+qqoqMAyDxYsX8+a9u1MrVMl8fHw8vYSam5vDx8cHmZmZ2LlzJ7Kysqgz2T1DwP779OnTguog6kJnZyfGjRtHHUpufy5rV2NjI65cuYIJEybAzs5OEBs1Gg2tAGL7gbmsniEhIWAYBjk5OZgyZQpyc3NRWlpK9+M7d+5ALpe/tBJ1XeBe6IWWNeiOPXv2wN3dHXfu3MH8+fMhlUp5DiX7fDx58gRLlixBTk4O1qxZI2iPLhfFxcUwMTFBQUEBYmJieA4lW/LKOpSNjY2YPHmy4I6ku7s7oqKisHnzZlRUVGDz5s283tHr169Th5It/wZeXaH6l7H+/ple6NOnT+l4sSWvHh4evCCQkHfUFzmSbW1tvKpCtVqN1NRU6lBypele49VGH+D/U7TpGWvXriWzZ8+mX3/wwQdErVaTzz77jFhbW5Pf//73xNHRkXzyySdkzpw5ZNOmTSQsLIyEhISQzz777GWYTAjpYtPs6OggFRUVJCcnhzx+/Jh89NFH5OnTp+TJkydErVbT94aHh5PMzExCCKEsfUKiqamJ+Pv7k/b2dvLWW2+RyspK4ujoSDIzM8n7779P5syZQ7777jvyq1/9inz44Yfk+fPn5N133yXbtm0jb7zxRq+yo6pUKuLj40P+7//+j0ycOJH85S9/ITU1NUQmk5GEhASSnp5OCCHk9OnTpKCggBw/fpz87W9/IwYGBuTx48ekra2NPHv2jCxcuJAYGBj0ik1cXL58mRQUFJAHDx6Qd955hwQHBxOpVEoZCFk2vv3795P09HSSk5NDfH19yfPnz8mBAwdIe3s7+fDDD8ngwYNJv3796Pt7C21tbaSxsZF8+OGHBACZP38+2bJlCzE0NCTNzc2kvLycfPLJJ8TT05PExsaS3/zmN4QQQlatWkW++eYbsnHjRvKrX/2q1+z5MYiIiCANDQ1kw4YN5P3339fJVAyAODo6EmdnZ5KVlSWYLQDI3LlzyaVLl8js2bPJ559/Tvr06UPnqbW1lZw6dYpkZmaSv//972T16tWEEELWrFlD7t69SxobG4mVlRWxt7cnn376qWB2pqSkkIaGBrJ+/foe39PY2EgmTpxIbty4QdavX08++eQTnX9vbz27586dI9HR0WTIkCEkPT2d/OIXvyB9+vQh1dXVJDIykgwfPpwEBwfT99+4cYP8/e9/F3x/46K9vZ28+eab5NGjR6RPnz7kxIkT5N69e+TixYvkzp07RKPRkPr6etKnTx+ybNky4uDgQAj5xziBw0wqNHTt/QBIRkYG2b9/P8nIyCB+fn7k3Xff5dnIQqlUCvYsl5aWksWLF5MbN26QJUuWEAsLC8rq+ezZM/L3v/+dtLe3k6tXr9Kz7de//jX57LPPiK2tLYmLi9MLq/G/ghs3bpCxY8cSjUZDZs6cSczNzfXyudu2bSOHDx8my5YtIyqViuTn55PCwkIikUjIggULeMzo+kL3tTR58mTy8OFDEhYWRvLy8khdXR1Zvnw5YRiGNDY2kj179pDc3FzSp08fotFoyMaNG4mRkVGv29XR0UHGjx9P6urqyIwZM8jvf/97rWeRHasbN26QvLw8cvjwYTJ//nzKgtqbe15vQp/rr6mpifj6+pLPP/+czJo1i3z88cd03Nra2oiTkxORy+Vk3LhxhJAuBtW7d++S1NRU0qdPHxIaGkpCQ0MFs0+lUpHAwEDyu9/9jixYsIB88MEHPPvkcjn505/+RPLy8ig7cFtbGxk7diwpKSkhI0eOJP7+/nRvfI1XGC/FhUVXZGLOnDmws7ODv78/1q1bh8WLFyM2NpYKcjMMAwcHB0ycOJH+e8qUKYLpL7Gorq5GUVERCgsLqZYcS0DAjbCnpqZi6NChaG9vR2dnJ8rLy3Hs2DGsWbMGs2bN0kttNxvh6ezsxM6dOxEdHY3q6mp0dnZi//79YBgGCQkJqK6uhlqtxtGjRzFhwgRMnjwZ+fn5gpTHsZGoiIgIXraxqakJ7u7u+PLLL3mRRbVajZ07d2Ls2LEYMmQIkpKSsGXLFpqJ7m1cuXIF5ubmSElJQUZGBkaNGkXFo7nlKTt27ICxsTHy8/NfmFnp7ayLWq2Gt7c3Jk2axGM9y8zMpOWakydPxq1bt2h2lZ2/JUuWQC6X65WMgEtUY2xsjDFjxuj8Pqtf5ebmRqPMQkaYFQoFrwS0O9RqNbZs2QKGYbB27VrB7HgRhg8fjqioqH/aW7NmzRqYmprynichcP78eZiYmCA7O5uuLXb+SkpKYGtrqzPizp1joaFWq+Hn54fc3Fyt0mCNRoP6+npcu3YNmzdvRkBAAJydnXnZDn3Y2NzcjE2bNtFSLV2RfzZDaWZmhr1792q9T18MuGVlZRgyZAisrKxw9uxZeHt7Q6FQ8MhWmpubUVpaimXLliEuLg6DBg0SrPS7N3D16lUEBgbqLesHdLFhckvAGxsbdWYoua08QqzFtrY23j7BZQH+7rvvEBoaisuXL+Py5cuQy+VwcHDgZShXr14NuVwuaOltbW0t/Pz8sHXrVq1+5u64c+cO7ty5QzkohCr57k3oY/21tbXBx8cHYrGYVtd01wtVKBS8exS35NXe3h5BQUGCabNrNBooFAowDKN1ZqjVaqojqYuhXK1WIyYmBnZ2drzKjdd4dfFSnEkuW+KMGTPg5uaGCRMm0AtwTU0Nbt++jY0bN2Lq1KkICAigDqZUKuUxPfU2Ll68CDc3N/Tv3x8Mw8DS0pKKXHcvV1m9ejUsLCx6pOsH9EOX3traijFjxiA2NhZz5szhfY91KBMTE3sslepNZ0ilUkEmkyE2Npb27rHjdf/+fdjb2/NIOrjQxyVPo9Fg4sSJGDp0KI9Q5dtvv4WFhQXCwsJw7NgxNDc3w87ODl9++SXvUqev8pqfikQOF3V1dZgxYwalwFcqlbzxevLkCSZOnAg3NzfBA0IPHz6EiYkJ7Wnuad5qa2vh4uKCcePGvfB9vQXWQWOfubFjx8LJyYk6Hd2fRfbrY8eOwcTERFBGWZVKhYCAADAMo+UolJeXw8rKCgzDYO7cucjIyMDy5ctx8uRJNDY26n29jR07FsbGxlixYgXPoexux7Fjx6BQKDBo0CBeb7bQyM7OBsMwyMvLo6VaupxDtgfW2tpa731f3LXOOpQMw8Dd3Z3Xy6mL/Ky7RNKriJdB2saCnWuuQzl69GjB9xeWzXPo0KHYtGmTzveEhIQgKSkJAKhgvYODAyXlqa+vF/wCf/jwYRgYGLywV769vR3Lly+HgYEBnj17hlu3biEyMhKWlpZaZ8urCH2sv6lTp8La2hpZWVn0ntDa2goPDw8EBwfrDD6ye+Tt27cFZ+fdt28fxGIxUlNT6f2zvb2d2qfrHsDap9FoBL8nvEbvQe/OJLvJch3KmTNnYuDAgRg3bpzOA1WtVuP58+c4ffq0YNkqoKtPyNTUFGPHjsWBAwewdetWODk5wdfXV2cz8KFDh8AwjKAXvB+DM2fOIDAwkGbRAPAIa1iHMjk5GRcvXhTMjo6ODoSFhVEdIC7UajW9rOTn5yMnJwd79+7FhQsXdDqzQh0U7e3tGDJkCCZMmMCzG+i6eNrZ2SEiIgJXr17l9RroC6+yRE5HR8c/zbZXV1dj5syZMDIygp+fH5YuXYqysjIUFBRgxIgRsLa2FjTizWrgPXr0CP3798eKFSsA6A7qsK+NGzcOISEhL5S/6A1UVFRg8ODBvB6Rs2fPwsjICNOmTaOvdX8eOjs7MX/+fISGhgpa7dDe3o4TJ07A0dERCoWCrqNr165BLBZDLpcjNjYW4eHhMDIyotUjzs7OkMvlOH78uGC26cL06dNhZGSE5cuXaxHZcJ+j4uJihIeHQywW4+TJk3qxrb29HSNGjMDAgQOxaNGiFzqUt27dglQqxcqVK/ViGxfc9X7hwgUkJibCwsICly5d0vq+vjKlrzp+7DhwHcrc3FyIRCItErXeBtsDa25uDiMjI0RERGDnzp28wOnVq1fh5eVFs/WlpaUICAiAmZmZ3vqHi4qKYGJiQvttexrTHTt2gGEYypp/48aN1w4G+IymOTk5kEgkmDFjBu7evQsvLy8EBwfrTHKoVCp89dVXetXt/u677yASiZCeno4bN268MCOpUqmQn5+vdX98jVcfenEmW1pacObMGa0Dn43caDQazJo1Cw4ODhg3bhx9nxAlmD2BJZzIzs7mpf0nTZqEQYMGaTUCd3Z24tq1azzHSZ/smd1x+PBhBAUFQSwW08t6W1sbtenbb78FwzCYN2+eoLbt2rULAwcORGxsLE6dOkXt8PT0RP/+/eHr6wsPDw96EWUYBr6+voiNjRVctJlFRkYGfH19afSVWwZ09OhRiMVijBkzRouYRx94VSVyVCoVEhMTeULvXHR/Rg8fPozg4GCa4R80aBBSUlIEc3Sbmpq0bAsPD4eXlxcv0qkL4eHhOlk/exvnz5/H4MGD4ejoSLMAT58+pULMeXl5On/u7t27UCgUyMnJEdzGjo4OnDp1CgMHDkRERASKioogFosxdepUXqDvwYMHKCsrQ05ODqKjo+Hn56f37GR7eztycnJgZGSE1atXawUiuftxUVERhg4dqheyGC75xbBhwyCVSnU6lFymTwcHB6r3q29010gODg6GRCKhF/jX6CrzPXjwIP26+17C7tnNzc28jBT7vufPnyMvL0/wS3xdXR1GjBgBAwMD5OTkICAgAHK5HHK5HEePHsXjx4/R1taGxMREzJgxA0DXOi0pKUFYWJjeyJTu3buH/v378/Y0XYGLp0+fapHvvIY2Zs6cCYlEAolEAj8/P53JD1bmxcjISHAps+7Px759+6g0jZ+fn86MqUqlwsSJE2FqaqpXZ/c1egeCO5NqtRq+vr7o378/vLy88M033+jcsNgMZXeHUh/RUNaRnDlzJi21ZSM/ubm5CA8PR3NzM7WF/X9zczMsLS2xYMECwW1kwa2Jv3r1Ks6fP0+/d+LECXh7e8PS0pJeVrkO5alTpwS78HF/7969e2FjY4P4+HicPHmS1u7fvn0bra2tUKvVuHXrFgoLCzFjxgy4u7vDyspKsA3k+vXrvD6LjRs3wtbWFhs2bOD1hbHjtGvXLjAMg0OHDgliz4/BqySRo1QqKXMs6/BwD372InXnzh0YGhryNBHv3buHixcv4tmzZy/UjvpPoNFokJmZCYZhUFJSQm3asGEDRCIRMjIy6PPM9jezqKioQGhoKL7++mutv6u30dnZiXPnzsHX1xd2dnY06FNeXo7IyEgYGhoiKysL9+/fR1tbG1QqFY4dO4aQkBAEBARoydT0Bu7evYtt27YhNzcXV69epc/DqVOn4OjoCIZhMGrUKF5gpaf+P0DYwJ8utli1Wg1jY2MMGDAAK1as0ApYcsdKqPUHdJ0Fq1evxrRp07B27VraGtHe3o7hw4dTh5K95HHn8vLly/Dx8cH+/fu1bO4NNDU1ITc3t8cKGvb5ZYNrN27cQGhoKCQSCc1Q/pzR2dmJmTNngmEYbN26lb7evcrqzp078PLywpUrV3g/r69+YvZz6uvrER4eDplMhr1792LXrl1IT0+HsbExDdqeOnUKRkZGtJdNo9Hotc9eqVQiIiICUqmUl4Xqvrfs3r0bUqn0tUg9upIyW7duxdSpUzF27Fhs376dp/05Z84ciEQijB49mt4T2DXHOpJCsvM2Nzdj7dq1GD16NFJSUpCdnY2bN2/SINrBgwdhZmaGoUOHat319KFn+hrCQnBn8unTp5DJZJDL5cjJyYGBgQFkMhlycnJw69Yt3uWjo6MDM2bMgIODAzIyMrTIFYRARUUF1Tbq7iyWl5dDIpEgOzsbtbW1WvXlLS0tkEgkyMzMFNxO4B+HllKpRGhoKO1hysjIoGUsx48fh4+PD8+h7K7RKMSFr/tBtGvXLtjY2MDU1BSenp4v7MFobGwUrF+oubkZKSkpMDAw4F0EYmNjYWVlhaKiIuq4dXR00DGOjIykmltCBjRedYkcpVKJQYMGISYmBt7e3jytUuAfz0plZSWkUimSk5PR2Nio95K4U6dOITo6GsbGxrSUsb6+HsOGDUP//v0xdepULZuePn2KrKwsuLq6Clo+D/D7rc+cOQOFQgF7e3v6jJaXl9PDdMCAAXB2doZUKoWXlxfi4uLo/PZmf/P58+fh6OgIS0tLWhq3efNmAF1r6/Tp05DJZAgKCtIZqOhJbqM3wTppbJ88V0OXJXEICQnBuHHjYGhoqLPkVR99an5+frCysqKZ+ODgYDq3HR0dSEpKwsCBA7FgwQLeXlhfX08lp4Qo32tvb0dMTAwYhsG4ceO0yhjZ9XTv3j2IxWKqP1dWVobw8HAwDEMd458zzp8/j+TkZFhZWWHLli30dfa5vHfvHmxsbJCYmPhS5Ay6a0s3NjZCoVDAwcGBchQUFRUhLS2NkvI5OjoiKyvrpckv3LhxA2KxGD4+PjrLGuvq6jB69GhERERoPdM/N7C9sO7u7nB2dqbVXY6OjrS1CQBmzZoFiURCg5Lsz2ZmZgrqSLJ7oKurK/z8/ODr6wtTU1NIJBLMmTMHT548AfCPDGVKSgpu374N4B8aqELa9xrCQy9lrvv27YOZmRnKy8tRVlaGqVOnQiwWw8HBAQkJCbhw4QKNpHR0dCAnJwfGxsaYMmWKoJfSzs5OFBUVwcbGBgqFgue8Xrt2DQMGDADDMBg8eDAYhoGRkRGCgoKQmZmJkydPoqSkBLt379ZLeRc3wuTm5obQ0FBs3LgRK1euhIGBASZNmkQ33OPHj8PX1xdWVlaCPpzNzc3Iz89HUlISQkNDMXPmTBw+fJjaum/fPkgkEgwZMoTH5sW9hOrD6bhw4QK9CGzYsAFA1zrz9/eHvb09Dhw4wHOGNRoNwsPDMWrUKMFtW7NmDa/k19bWFhYWFvDz88OcOXOwceNG+mzk5OTA1NQUc+bM0RKOFwIsK294eDjq6+sxY8YM+Pn5oampiTdvjx49grm5OVJTU1+q0PC5c+cQHh4OkUhEyVaePHmCuLg4mJiYwN/fH19//TVKSkqwdOlSSnyiT8F6Ftu2bQPDMHBycqKf39jYiNu3b2Px4sVYsGABVq5cidLSUl7ZZG+htLQUJiYmyMzMRElJCe2Xk0qldB9hS17t7OygUCheSulRbm4uLc/n7s9qtVqLZILbQ8ntERMSXI23s2fPoqOjA5s2bdISWu/o6EB6ejocHR0xfPhwXLlyhTJYW1paCrYGm5ubqRanu7s7xowZQ7M8rCNZWVkJKysrjBo1iufonj9/HnFxcfTS93NHWVkZhg0bpuVQ3r9/HwzDID09Xa/7X0tLC7Zv346MjAwMGTIEERER2Lx5M211UCqVCAkJgUQiwXfffQegy/m9dOkSoqOjYWhoCJlM9lK1/E6ePAmxWAx7e3vk5ubi6dOneP78OY4ePYqMjAxIJBIalPm5QqlUwtnZGZGRkTh37hytNisuLkZQUBDVgmXBdSgrKiowH+1SAgAAng9JREFUY8YMwR1JZ2dnyjUBdJ1VVVVViIqKos8G61Du37+fOpTXrl0TPGP6GvqBXpzJe/fuwcfHB1OnTgXQtQk2Nzdj+PDhYBgGpqamCAwMxMaNG2k51ZIlS/RyeWltbUVRUREGDhyIwMBAAMAPP/wAMzMzpKen4/Dhwzh8+DA2bdqEtLQ0eHl50Yt/dHS0Xsq7WGg0GkyfPh3R0dE06nTmzBn4+vrSB5a9RJ08eRJSqRRDhw4VxBalUgkfHx/I5XIMGTIECQkJMDU1pcxd3JJRW1tbKhzPQt/ENuxFQCKRYOPGjQC6sgIBAQGQSCRYtWoVvQhUVFTA29ubJ84uFF5ViRylUgkbGxvExMRQ9tidO3fC0NBQK0NfUlKC/Pz8l+ZIctfSjRs3qEPJlrw+e/YMq1atgkKhgEgkgkgkgpubGyZOnCjYRfnmzZu8snJuL2x5eTnEYjGSkpLg7e3NEw/vCb0ZdOH2h3PnrKCgAP379+cRI3R2dlKHMiQkRG89Vdy/NyMjAzY2Npg9ezYdw57YAKdPnw5TU1MsWrRIcIeS60jW1tbSdfjs2TPePsPNKi9cuBByuZz2EcfExAh2WWbtqaiogJOTEzw9PeHo6Ij09HTqUD569AhSqRQpKSk6n9+fAmurkNBoNLxqAF0O5ZUrVzB//nzBJBZ0gc1U+fn5ISQkBGlpadSx8PDwoG0d3Cqmb7/9lt6vlEolSkpKBGfz/DEoLy9HSEgIxGIxvUM4Ojrysvs/V3Bl1h4+fMjrswa6xm7YsGFgGAZLly6lPzd79mzY2NjAwcFB0NJR1r7o6GidEiQAkJ6eDgMDA8yePZsGLr777juIxWKYmZnBwsLitSP5XwBBnUnugpo3bx4GDBhAo8iVlZWwtLREVlYWcnNz4eXlBQMDA5iZmfEeCn1ArVbj4MGDkEql8PDwgJmZGaZMmaJVutnW1ob29nZcvHiRl5HUp2M0ZMgQ2jjf3NyMGTNmICUlBStXrqRscezl//r1672ugQjwI2XcTaC2thajR4+GgYEBQkND6fxzHUpdGnVCoXvpD9ehZMv5NBoNJclgWSydnJzg4+MjeIDgVZbI2bBhAxITE3mN8rdv34aVlRVWr17Ns7/7v4WGLseKLVXu7OyETCaDoaEhL0PJzmVlZSUqKiqgVqsFo25Xq9Xw8fGBjY0NSkpKeOvo6tWrMDMzw+TJk6FSqVBaWgo/Pz+eQylktv78+fMwNjZGTk4O7SFk547Vl+veW8iWvDo4OEAmkwnOpqhUKpGVlcVzsMeNGwdbW1vMnj2bVmb0VJqckZEBKysrQdskVCoVnJycEBcXR8eDnbdr165BKpXSYEZ3KJVKXLhwAY8fPxbcAens7IRSqcSMGTOQm5uL3NxcWFpaIj09HXfu3MHDhw+xatUqvTpCrzrUavULA9nnz59HYmIiJBIJr3VCX/eA5uZmeHt7IyoqCpcvX+btF/v27YOjoyOsrKyobY2NjQgLC4O1tTUOHDjwUjORPaGhoQE3btzAunXrUFBQgFOnTgl6vv0U0NzcDLlcDh8fnxcGdcrLyxEcHAwHBwceW//06dNhaWkpmB4sK5/m7e1Ns45ccM+92NhYWFpa8kjy9u3bB3t7e71VBr2GsOhVZ7KjowMNDQ28CCd7YXv8+DEcHR2Rm5uLa9euwdLSEsOHD6cbRnV1Nb799lsEBga+FDFk1qH09fWFubk5r4G5ey8lF/piMGTFuIcMGYLZs2cDAFauXIn+/ftTEh5WlsPDw4NHgd+bF/2eIlHsPDc0NGDOnDkwMDBASkoKPWD37t0LOzs7BAYG8kiDehv379/H5cuXezzY2XI+iURCS16Bro2N1c9bvHgxnVehnKRXWSIH6OpX0UVYEhoairCwMPq1vnsjW1tbERERgUOHDmlVBbS0tFDa8YMHDyIiIgIikQgnTpzQaa+Ql7979+5BLpdDJpNRh/bGjRswMzPT6lMqLS2Fv78/Bg0aJCj5wO3bt8EwDIYNG6ZFBMP2hycmJuLatWsoKSlBQ0MDb4yOHj2K4cOHCxo4UCqVsLOzw9ChQ/H8+XPeZ40bNw4Mw/DIi3oCq3ErBNra2hAaGgpjY2N6VrH7X2trK0JDQ2FmZoaioiIUFhbi7NmzaGho0KvuYfe1zbYcVFdXY8uWLdShFHof+amBJQwUi8WIj4/HmDFjsGvXLpSWlvLuNRUVFUhISICtrS0NTAL6CaotWbIEAQEBPEIl7nyfOnUK7u7uGDx4MGXkbWhoQExMDAwMDF7LLvxEUFxcDJFIhPDwcLrf9XTeHjt2DAzD0GoIFkJq1z58+BAMw8DHx4cy9wO6yflqampo6S0XQpKivYZ+0WvOZFNTEyZOnAgfHx8EBQUhNzeX9321Wo1x48ZBKpXCzMwMI0aM4JUGsRB6M37RBbK1tRUHDhzAwIEDERQUpBcCoJ7Q0zjs2rUL58+fx+3bt2FiYkL7cjo7OxEZGYmRI0ciPT1dkHFsaWmBj48PnJycdG4CXBr0MWPGwMzMjDIUAkBhYSFkMplgF5iqqiqYmpqCYRgEBQUhKioKK1euxPfff0/LgoEu1j02G8l1KLujtwMFr7pEzovWDDu3+/btg4WFBe3B0Tdqamrg7e0NqVSK48eP07FjyViCg4OpI3H+/HnqULJZIn06v1VVVXB1dYVcLsemTZsgFosxefJkrWeHZXl1cHDA8OHDBbOnpqYGMpmMOrhstPvKlSswNzcHwzCQyWS0tFoqlSI8PBxr1qzBvn37eL9LqIoHNlDFzYhzP2vixImU1IHdn/VZGcLaMnXqVDg5OWH06NF0vbGZBLbP3szMjI4l2yv55ZdfCia50dTUROeJHRMuMVd6ejqGDRsGAMjPz4dEIuGVvL7qIvD6QG1tLRITE+m8+fj4UE1VW1tbKBQKzJkzB6dPn8bGjRsRFxeHAQMG4JtvvtGbjdHR0UhLS9N6nTt/hw4dgoGBAY+cpb6+HomJiT8J2YWf81pUqVRYu3YtgC7meRcXF0RHR9Ne2J7uzAqFAiNGjPhRetD/CZRKJZYvXw6gK0Dav39/+Pv78yoxujuUHR0diI6ORmxsrN4lpF5DP+gVZ1KpVMLd3R2urq5ITEykTFPsRsYurMrKStja2lISD10QahOpq6ujl6fun9Fd2+/w4cOQSqUvzaFkbWlqasKCBQuQk5ODgoIC3nuKiorg6OhIS6yuXbsGHx8fnnB4b1/4Kioq4OjoCE9PT97lkntBZ//9+PFjmJubazHdCtlXV11djZSUFDAMgwEDBiAyMhJisRgMw8DExARubm4YPXo09u/fj7y8PISGhmLAgAEoLCwUzCYWr7pETnt7OxISEnjOv65n8d69e3B0dERGRkaP7xEaVVVViIiIgJWVFS5cuIDW1lbqSHYvwTx37hxls+T27PY2bt26hfz8fIwdOxYbN26k5d9VVVV0P0xMTOxx/Xd2dqK8vFzwYFpNTQ3kcjmcnZ1RVlaGsrIymJmZISMjA5cuXUJFRQUOHTqEZcuWITIyEvb29vRSLeRcc/sP2TL9nrLI48aNg7W1NXJycmjkXR/rsKmpCUlJSfQzc3JyKPN4TU0NFQu/evUqWlpaUFFRgbNnz2LmzJmIjY2FSCSCpaWlIH1qLS0tVL4nNTUVW7du1TpjDx48CIVCQbOpixYtgpWVFcaOHdujbMjPBU1NTfQcuHbtGiZOnAgDAwPs2rUL169fx7fffoupU6ciPDwcEomEnjFc8rTuAZfehkajwdOnT+Hg4IB169YBgFa2m/scJCYmwtPTEy0tLfT1n7OT9lMAW5mRkpJC53bdunUYPHgwoqKiaIZS1zz6+fkhNTVVcPtsbW1p5QjQVdXyzxxKAIiPj0dMTMzrNfhfiv/YmWSjyZGRkTTi1dHRARcXFyQkJPBKRJubmzFhwgTIZDK9Hl4VFRWwt7fH+vXrdTqUXPZRts+gqKiIshgKWSrQHVzWVhcXFzg6OkIqlUIkEiE5OZm+b/v27VT3au/evQgLC0N4eLggl1GVSoWVK1cC6CL2CQwMhKenJ4+tkHvxYzfBjIwM+Pn5obGxkdolxEZy+fJlWmp07do1ZGRkwMjICEVFRXjw4AFKS0uxbNkypKSkUGZeNhPD/seWIgqFV10i59mzZxg8eDDs7OxQXFxMX9f1nOzYsQMMw9ByKaEPh/b2dtTX1/Mu4Q8ePEBYWBisrKzg4OAAhULBy2Zx1+Pp06cxbNgwwbTKSktLYWNjA5lMBqlUCoZheOXcVVVV8PX1xeDBg3Hy5EmtZ1Tf1RkPHz6Ep6cnbG1tYWZmhkmTJun8zI6ODtTV1eHo0aOC9oezZ0hUVBSdQ3b+1Go1wsLCcPnyZa2SV2tra8yfP19v+/OhQ4fAMAxPR5B1KM3NzeHn5weVStXjGJWXlwtWfnv48GE4ODjAxMQEAwYMQHBwMNzc3HDkyBFegCUkJAQJCQn066VLl4JhGGRmZgqazXjVkZSUhODgYPr1zZs3kZycDBMTExw+fBgAP1B68eJF7NixA6NHj0ZkZCQGDBigFy1EjUYDDw8PpKenv/A9QBcJi6urq17Lq1/j30dPhF6AboeSq19669YtBAcH04ymUPu0k5MTYmNjtfrEe3IoWdy9exdBQUFYsmRJr9v1Gq8G/iNnkss0xUaT2QM/OTkZo0aNQnt7O+9iV1RUxBP/1UfZWUdHB9zc3CCVSrF161adQvX79u0DwzBYsWIFgK5LTFFREQwMDPSmI8le2DQaDebNm4eYmBhUV1fj/v37WLZsGczMzHhlcElJSbT8ZsiQIYJo0QHAlClTYGFhQb8+ffo0AgIC4Onpib1799LXu89lcnIyQkNDe9UWLtiMsqenJ6/s5+bNm0hKSoKJiQkOHjzI+xm1Wo1bt27h6NGjmDlzJlJTU6FQKPRSevGqSuSwCAwMhKmpKRwcHHh9Nd0PpmfPnlHHXMj+V6ArkJGcnAwXFxcwDIMRI0ZQx7+6uhrJyclgGAa7du3S+lmu3UIJcrPMqLNnz6bO7rp162BgYMDTrq2qqoK7uztkMplOh1JodM9MPHz4ECEhITQo0L1HWF/94c3NzXB3d4enpyclgWH3MbVaDS8vL3h4eNDzhWtDRkYGDAwMsHDhQr08H2VlZWAYhhdsAbrI5aytrXlZS67zra/S6h07diAsLAxubm5YtmwZpkyZAhMTE0RERNDz9urVq/D39+dl0QoKCn4SpY9CYubMmfDx8eE9l7du3UJSUhJEIhHvHNE1n/pgsu7s7ERraytGjBgBBwcHXLp06YXvHz16NMLDwwW36zX+czQ1NUEul9OAFAvueuQ6lGzJK9BFsDRx4kQ4OzujurpaUPt8fX15QVuujT05lKx9gwYNeiXYg19DGPzbzmRTUxMcHR2RkJCAJ0+e8A7Np0+fYvDgwVqlmSwSExNhY2OjF7Yu7iUpMDCQspxx2bFYR3L58uVaGTZWO0xfaGpqwqpVq5CWlsYbv/r6eqxYsQImJiY8h7KkpARXrlwRRIuOxdKlSzFgwABehuzUqVM6HUr2slpVVYXw8HDk5ubynHYhkJSUxIu2A10XgeTkZK2LwIvmUmiH8lWWyHn69Cmsra0xfvx4xMbGwt7enkbkAW2H8vjx43B0dERcXJxgkW+lUgkXFxeEhYUhNzcXCxYsgJGREXx8fGh09s6dO4iOjoa1tTWOHz+uddETct1xJTa6MySyGmncZ4Z1KF1dXbVYXnsb586dw9ixY3HmzBnqiLFgn4GHDx/Cy8sLzs7OOH78+EvJTJ07dw4Mw2DIkCG8CwhLpsTVkWTBfYazsrL05gi1t7fD0dGRarpx1/2cOXMwaNAgnp6avsmpAGDLli3w8/ODXC5HTU0NTp8+jfT0dBgZGSExMRFLlixBWlqa3hnTX3WsXr0aFhYWWllu7jnSvRKDuw6F2Gfa2tpQU1NDn2HWYb18+TLMzMwwatQo3rPBfX6rq6sRGRmJZcuWCWbfa/QOlEol3NzcwDAMkpOTtar2uPsI61BGR0fTMzAzMxNmZmY8B7O37WN76YcMGaJTxqMnh7K5uRmTJ08W1L7XeDXwbzmTra2tVEya2+ANdB2wbMR7/PjxSExMxPTp0/HNN9/QxZ+Xl8fr9xMaXIcyKCiIOpQtLS1oaGhAcHAw8vPzX8j0qC+H8uzZs7T0ctWqVbzvPX/+nDqUSUlJWj8rlI0XLlwAwzA8hliAn6HcvXs3z85JkybBzs4OlZWVgtjERU5ODhwdHaFUKnnzpusiwKK7gyvkYftTkMi5desWbG1tUVZWhuPHj2PIkCGwt7fHoUOH6Hs6Ozt547Rz507cu3dPEHu4JT/cfaK4uBgGBga8Z+PevXuIjIykDqU+Lk5slmrWrFk8p4L996JFi+Do6KhFNlVVVQW5XA4LCwtcvny51+1isxeDBg0CwzDw9fWFp6cntm/frtPpevjwIe2hPH78+EshR/j+++8xcOBAhIWFUWr7nnpgga6Am74lhtj/h4eHIzY2ln6P+2yzJa/p6enUKRHKodRoNGhpaUF5eTmqq6t5TsWOHTvg6uoKHx8fmgk4c+YMwsLCEBAQQM+Xl8Ga/qqBfV737dsHc3Nz2sfOnbcXnSNCQaVSISUlBa6urrQ/c/fu3VCr1ejs7ERBQQGMjIwwbtw4rXmsra1FVlYWHB0dX2eCXnGw51x8fDwWLlwIiUSCtLQ0rTntyaEcNmwYzMzMBNNpVCqVGDx4MGJjY3Ho0CFIJBKEh4fzSv1Z6HIo4+LiYGpq+lpH8meAf9mZVCqViIqKQk5ODkaMGAFbW1vKiNne3g4PDw/Y2dkhOTkZQ4cOhbOzMz28DAwM4Obmhvnz5+t9k2MPjY6ODgQEBPB0mGpra/VedqYL7KXl1KlTMDQ0hJeXlxbz3/Pnz1FQUACGYTB//ny92FVRUQFzc3Ns27YNAN9p5TqUbA9lVlaWXiJR7JyuXr0a1tbWOtkdX8ZF4KcokVNWVkZJdYCuzGNYWJhOh1LojAt7gLG9IyxYAXFPT0+kpKTwHB/WoRw4cCC+//57wYMDs2fPBsMw2LJli062XV9fX61sOYvKykrBGJdZrF+/HuHh4fjiiy9oOahMJsOMGTNw69YtngPMOpQymQyHDh16KXthUVERpFIpwsLC4OTkhJCQEK2MKtB1yZ40aRKkUinq6+sFm2eNRqMzU7t8+XLKZs2OE3e8cnJy4OzsjMTERMF6OZuamjBjxgwEBQXBzMwMYrEY7u7uWLhwIa1o2LVrF9zc3ODl5UX3kbq6OpSUlCA1NRXm5uY/W0dDrVbTcWJRWVlJHTYW3Utek5OTIRaLBSfaUSqVcHV1RXh4ODZt2oRLly5h0aJFvGDu06dPsWzZMhgbG0MmkyEzMxO7du3CjBkzEB8f/1q/7yeA5uZmuLi4IDw8nO4VBQUF1KG8efMm7/3cc3fDhg0wNzfHgAEDBLtntba2wtTUlNfLfv78eepQ6pKxYp+ZGzdu0Hv/63X488C/5EwqlUoMGjQIkZGRUKvVuHLlCoYNGwZbW1usXbsWPj4+UCgUPBkGlvZ+3759SElJQWBgoKCN6pcuXcKwYcMwd+5cFBcX6+wraGtrg0KhQP/+/WmGkrVVn+jeV6PRaOhrbAYmJiaGJ/QKdJW87t69W69ZhJCQEIwePRpA14bBHSvWofTy8oJCoRA0UlZTU4MnT57wLnplZWUYMGAAT+uIOzY//PADRowYATMzMx5pkBB41SVyWlpaUFRUhA0bNuDixYtoaGig3+ueBXqRQykU2traEBwcjAEDBvBsY8dDrVZDJpNh8uTJWtnlqqoq+Pn5wcXFRTD9qlu3buHZs2eoq6vDxIkTYWxsjG3btvEup/Hx8XB2dv5R2Smh5vnkyZNwdXXFpk2bAAAnTpxAZmYmpFIpJBIJYmNjcebMGXpJqKmpwcCBA5GSkiKIPSzUajWuXbuGoqIiHD16FHV1dXR8Dhw4AFtbW4jFYt5zyiUlYwNVQupxNjU1ISQkBNHR0cjNzcXevXvps1FWVgYjIyOtigvuPE6ZMgVyuVyrPLc3oFQqIZfLERoainnz5qGoqAhr165FTEwMDA0NERsbS8/XwsJCeHh4QC6Xa13oXqbs1ctES0sL3N3dMWDAAMjlcmRkZGD16tXYvn07JBIJduzY0ePPVlRUICIiAra2tlpl7b0FtVqNoUOHIiIiokdnnxsIOnPmDA3aS6VSeHl5IScnRydT+Gu8Wnjw4AHmzJmjdf6vXLnyRzmU27ZtE3yeV6xYQXkcWJw7dw4SiQRhYWEvdCjv3Lnzs+/F/jmhDwCQH4Gmpibi4+ND/vSnP5Fp06aRTz/9lBBCyJUrV8iSJUvI6dOnya9//Wty4MAB8vbb/6+9M4+rKf//+KvSGGMdzFgGM2PMnPYipYRkSZIoKhGFVKLsJBqmkH3L2Nch+9gZ2xjMMChEyK5FSJLctttyX78//O6ZexXf+X6nm4zzfDzmMTn33Hvf95zP53w+78/n/X69P0ZxcTG0tLSgra0tfkZBQQFIonLlyn/nK/9riouLMWLECBw/fhwAoKuri8qVK6NmzZr48ssv0bp1a3z11VewtrZGlSpV4ObmhpcvX2Lw4MHo0aMHqlSpohG73mSrjo4OcnJyMGfOHCQnJ6OoqAjfffcd/Pz88Pnnn+PUqVMICAhA69atMWLECJiYmJT4nKKiIlSqVKlMbMrJycGSJUtQv359tGrVClWrVkXjxo0BAD/88AMSEhKwdetW8XyS0NLSAgDExMRg0qRJyMrKwoYNG6Cnp1cmNqly584d9OzZE8XFxfjss8/w3XffwcTEBAqFAuvWrcP8+fPRvn37Uq/HvXv3EBYWBh0dHWzcuLHMbQOA7OxsuLu7Q6FQ4KuvvkJKSgru3buH0aNHw8/PT7xeSUlJ6Nu3L+rVq4dNmzbhk08+KfFZqte2LO0bMGAAXrx4AZlMhpycHLi5uSE4OBh16tQRz1MoFGK//eOPP7B8+XI8fvwY48aNg4ODQ5na9DqPHj3C6tWrsX37dgQHB8PPz0/sKwAwf/58bNy4Ebt27cLXX39d4v0PHz6ElpYWvvjiizK3LTU1FZ07d0ZERAR69eqF9PR0zJ8/H/v378eMGTPg7OyMgIAA3Lp1C8uWLYOenp5G7uPbUP2+kJAQnDlzBr/88guqVasGAFixYgUWLVqEOnXqID09HUZGRujVqxfatGmDTz75BLVq1RKvdVmTk5ODUaNGISkpCUlJSQCAL7/8EnZ2dhg1ahQqV66M48ePY+rUqfj6668xdOhQtG7dGsCrtjt79mzs3bsXW7ZsgYGBgUZsBIDjx49j+/btSEpKwtOnT5GXlwddXV00atQI3377LS5evIjIyEi0a9dO7Xqr9puMjAy1PlUWFBQUYPDgwdDW1kZERASaNGkivpaWlobffvsNc+bMgYmJCRYuXIiaNWtix44d2LBhA3R1dREZGSk+l8u7XVYU7t+/jyNHjiA9PR2PHj3C7du38ejRI9SuXRvPnz+Hrq4u7OzsULt2bQiCAD09PVStWhXfffcdCgoK8Pz5c5BEgwYNNGLf7du3ERISguDgYLRr105t/vTzzz8jNjYWt2/fxpdffglfX18YGBggNzcXWlpaeP78OerXrw8AGuvDEv+c3NxcHDhwAD179sRHH30kHlcd59asWYOVK1eidevWGDp0KL777jvxPNXnjKbs+/HHHzFu3Lg3nnPx4kUEBgbi22+/xcSJE2FoaKj2uupvkfhA+DseZ3Z2Nnv06EFTU1Nx1VN1Jfbq1ascOnQoW7VqJa6Ek+UrQHD//n0+e/aMiYmJ9Pf3p42NDQcOHMjdu3czJCSErq6uYs1BAwMD9uvXj8HBwRQEgS4uLly3bl25S2jn5OTQ3t6ePXv2ZGhoKIcNG8YuXbqwRYsW4orPyZMnqa+vz8GDB2s8TygiIkKtXIZyB2PRokWMjIykvb19idV21RW1S5cuaTR06vbt2zx48CBXrFjBSZMm0dXVlUZGRmItPAMDA/bt25fDhw/nvHnzeOzYMcbExFAulzMnJ4fp6ekaa5MVvUROYWEhhw0bxkGDBjEhIYEymYzr1q2jIAiMjY1VO/f13MgzZ86we/fu7Nat21tLH/wTVPteSkqKGEaqmjcaFRWlFq5c3gInz549o4mJiVqe+LNnzzhhwgQaGRnR0dGRHTp0KPdctJs3b/LEiRPiv5XX5fLly7SxsRHL+ijLCS1evJj379/n6tWr2bVrVzG/XYkmdkuVIg79+vXj7t27GRcXx5MnT7JPnz40MjKih4eHGCFy5MgR2tjY0MvLi2fOnKFCoWBYWJjGc2/kcjkvX77MX3/9VW3H9sSJE4yKiuLo0aPZpUsXGhoa0sPDo1QFT022yZMnT9LBwUFNqEj1XuXn5/Pnn3+moaGhKBJEvtqhbNOmDfv06SOViXiNjIwMPnz4kDExMfT19aUgCHRychJrSOrp6dHMzIytW7fmyJEjNR4Crhzvle08NzeXSUlJHDx4MAVBoLm5Obt06UIbGxva2Njw3r174nulWpLvB8o0peXLl5eIEFB9frxth1KTKAUpx48f/9Y2pdyhfFPIq8SHxX90JpUJwi1atGD79u0ZEhIiSrirhhJevXqVAQEBtLa2FnMoyfKZ8D1+/JjGxsZiLsODBw84aNAgduvWjdHR0eJ5t2/f5sWLF7lixQr6+/vTxcVFdJwCAwM1/hBWrQtEvsqvcXV1VXPAZs6cSUEQePz4cTFU7+TJk6LYhyaQy+VqkvbXrl3j1q1bGRERQWdnZ7Zp04aGhoYUBEHMm1TlXQ1ecrmcmZmZvHv3Lr28vNiqVSsOGDCAdnZ24sKB8r+IiAjxfWXdJt+HEjkvXrxgly5d1BwhmUzGNm3a8NSpU3z27JnYr5X2qN7XP//8Uy18vSwpLCykq6sr+/fvLx5TdSijo6O5YsUKGhoaajxf6U0UFxczPz+fHh4eYiioqnr1Dz/8IDpq5enkKgW7Nm3aVOJ75XI5+/btS39/f27bto2CIHDBggVqZVKSk5P566+/ajRkXtk/vLy8SrQhmUzGWbNm0cDAgO7u7qLKtjKHUil4o2lHUiaT0cvLi23atKEgCDQ0NBSVMFV5/vw59+/fzzZt2tDDw0MtFFvTzJ8/n+3bt3/rORkZGRw5ciTbtm2rFgK3f//+DzpHMi4ujr/99luJ+6XaZ+bOnUsPDw+mpaUxLy+Ply5d4u7duzl37lwOHjy4XNQoL126xNatW3PmzJk8duwYZ8+ezXbt2olqvA8ePKBMJuMff/zBzp07q+V4Srw/zJw5k/r6+ly2bNnfcihHjx5dbmqoL1684KZNm2hiYsKxY8e+dX6ndCi9vb3/Y6kaiX83b3UmZTIZ27VrR19fXz569IjTpk2jra0tJ0yYID6UVSchyhxKa2trsYh8efDw4UOampqqKTzev3+fgwcPpp2dXQnFWSVyuZx3797l6dOnxcm/Jhwj1Zh41c/39/env7+/mP/3yy+/iBPDkydP8ocffhBzM+Li4jQy4SsoKGDfvn3p6+tb6o5Kfn4+s7KyeOLECY4aNYr6+vrctWtXmdvxJpKTk3ns2DFu3rz5jSUOSHLcuHEcNGiQmHv64MED/vbbb9y0aRMjIiI0VvbgfSiRo1AomJycTHNzcy5ZskQ8npaWRlNTU7q4uNDMzIw9e/bkxo0bS7xX08hkMi5atIgmJiZqOXspKSmcPn06DQwMxHqI75qIiAja2dmVaE9paWliDuXOnTvLpcxGTEwMjYyMOG3atBJ1NJV94/z58+L1W7p0aQnhEVU08XxRRl8MHjyYGRkZau1J2U9ycnI4Z84cGhoaMiIiQrT9xIkTNDQ0pJmZmUZFHGQyGTt27EgvLy8eP35czO8XBEFtsq60Nz8/n4cOHRKd3czMTI3Zpsq0adPo5OSklltfGvv27aO+vr4kxc9X93bgwIG0tLSkIAjs0KEDz58/T7LkDvzRo0cpCEK57rLk5ORw9+7dav130qRJaguhAwYM4IEDB0rshLdt25aLFi0qN1slypbp06dTT0/vPzqUa9eupSAInDhxYrlFFjx//pybNm2isbHxf3QoL168SEEQ6OfnJ0U+fMC80ZlUKBQcPXo0Bw4cKCbgFhcXMyIigra2tgwJCXmjQzl8+HDq6+uXuoulKbp06SIKxCgb/oMHD8Tk9JUrV4rnKhv86yv5mnLWIiMjxdqC5F/iBx4eHvT39yf5V2iBMqxvxYoVbNu2bYnVZE3YOG/ePFpbW3PMmDFq4kivD7bJyckcO3Ys9fT0uGfPnjK343UuX75Me3t7Nm/enIIgsF27dmKo7+u7vJs3b6aRkdFbV9/L+tq9DyVyVAeBSZMm0cTEhHPnzuWmTZvo5OTEHj16cOPGjdy2bRsDAgIoCEK53NvXefHiBVetWkVDQ0MOHz5cPJ6cnMz58+dTX1//jYtC5YHymbFp0yZaWlqKO/mq1/fZs2cMCQmhsbGxxh1K1RqXyoloaTuiaWlp7NevH11cXEoIKWgahULB8ePHUxAErl+/Xjyu+lxR2vzy5Ut6eXnRzs5OLZT+7NmzGhVxUI0qUP3ee/fu0d3dnS4uLnz58mWJyZRcLufRo0dpaGjIwYMHl8tu9Jw5c2hubs6srCySJZ/Pyn/fuHGDJiYmJUo5fWgo69R6eHhw48aNXL9+PZ2cnNilS5dSF1WUJbCUzubbSoWVFcqQx7Vr16qJ+uzfv5+7d+9Wq+GstKO4uJg3btygq6srT506pRG7JMqOoqIiPn/+nDdv3iwRrjpjxoy/5VD+9NNPaiHNZUlhYSGfPHnC8+fP88qVK2J0yMuXL/+2QxkXF6cx+yTeD966M/nkyRNx1VW1UO9/cigvX77M0aNHl4uSk3IAHTt2LD08PNSUUcm/HMoOHTqoOZTlFYpWVFTEOXPmsG3btvzhhx/Yvn177t27lyS5YcMGmpiYiNL9K1asEK/jsmXL6OTkpNFVb9VrsHz5cjGc4nW1XdWHSGJiIkNCQigIQomBriyJiYkRr83Ro0e5b98+Ojo6skePHqVO0o8fP05BEMQcRE3vqFX0EjkFBQVi31BerxcvXnDq1Kl0cnKio6MjbW1t1VQp7927x+7duzMkJKRcykO8viDwNodyxowZpTrtmuLmzZs8fPgwHz58qLbampiYSEtLSx4+fLjU9z179owTJ06kIAj87bffNGKb0pFU3ZFUXssrV65ww4YNaucrcyWVasflWfojJiaGffv2ZdeuXdUiGlSfPcq/Y2NjKQgCjxw5Ui62ZWdns1OnThwyZEipyqshISHs2rXrG1fb8/Pzefz48XJTLLxy5QrNzMw4fvx48Vhp93LTpk3s3LmzxiMeKjKqOeyqodXLly+noaFhqfcsIyODZmZm4jOmPOYIGRkZYsjj6tWr/5ZKbGZmJidPnkxHR0eNKAZLlB3Z2dkcM2YMnZ2dxfF/+fLlarvMf9eh1JR9wcHBYj1TQRAYGhoqLlj9Nw6lxIfNW2VA69WrJ/6tpaUlKjRNnDgRwCvVu8jISEycOBE1a9YUlUXNzMxgYGCgplSlCVQVo1q1aoVjx47hyZMnotIaSXz11VeYPHkypk2bhu3bt0NbW1tUxCsPdHR0MHLkSKSmpmLHjh2oUaMGWrVqBQCwtLSEsbEx9u/fjy5dusDPzw8KhQIpKSk4evQo9PT0ULNmTY3Zpq2tLSqD+fv74+OPP8bSpUuhpaWFgIAANGvWDADUVP++/PJLDBkyBLq6uhpRbAWA2NhY+Pj4oF+/fhg+fDiqV68OAIiLi8ORI0eQn58PXV1dtfc0adIE2trauH79Or799luNqhVmZ2eje/fuaNKkCUaNGoXbt2/jxx9/xNKlS1FcXIxdu3ahevXqWLlypagqShKXLl1CWloaDh8+jMePH6Nnz56iWm5ZUlRUhPDwcNSrVw9Dhw6Frq4uSKJmzZqYMmUKioqKsGjRIsTGxuLLL78U+23Tpk3x6aefIjMzU6NKbMp+q+yDyntVs2ZN9OrVCySxcOFCBAUFISoqCo0bN0b//v2hpaWFxYsXIz8/H8HBwRqzLy0tDb1790ZhYSFq1KiBzz77DCYmJmjRogXq1q2LWrVqITc3V812JXXq1MGoUaPQuHFjtGnTpsxtu3jxIoYMGYI+ffpg4sSJ0NLSEvvwjRs30KdPHzg6OqK4uBja2trQ0tKCvb09oqOjERUVBX19fY0+U16nZcuWGDt2LGbNmoWVK1eCJFxdXdWePcp28Pnnn0NXVxcymUzjdpHE2LFjkZKSgvHjx4tjXWFhofhsSU9PR61ataBQKEr9jMqVK6Njx45lbptcLsfvv/+O27dvQ6FQoGvXrvjmm2/w1VdfoWPHjjhy5AgaN26M4cOHQ0dHR03ROzMzE7GxsTA0NCxVJfpDIDs7Gz169ECTJk0wa9Ys1KtXT7xGderUQePGjVGzZk2x7yr/X6tWLXz++ee4f/8+AJTLHKF27doYPnw4ioqKMHfuXABAv3798PHHH4vnREdHQxAENGnSBPHx8Th06BBOnTqFTZs2qc3RJCoWOTk58PDwwKeffooePXqgYcOGePr0KerWrSuqawMQ59OLFi0CAPE9gGbboFLNvV69evD29kbz5s1x9epVNGzYEDVq1AAAVK9eHc7OzgCAmTNnAgBmz579QSpBS/wH/lvvU7VQs3KHcsKECeJKhqZrH96/f58XL15kWlqa2qrNjRs3aGxsXEIdU7mSkpiYSD8/P5qamoo7g+WBclfI29ubbdq0Ydu2bTljxgzx9bNnz7Jfv360trbm+PHjOXbsWPbs2ZM9evRQq0NZ1qiuaKuuvFtYWNDc3LzUHUpVNBXCFxsbK4bvKUORlNdh4cKF9PT0pFwuL5GDmp2dTWtra86aNUsjdinJzs5mx44d6evry9TUVPG4UoDKzMyM7dq1E3eMioqKShVGUYaSaIoePXqwY8eOXLduXYkdSpIcP3487ezsxHuvDHXx9PRkVFSUxuzKycnhoEGDOGHCBEZHR/PixYvi7qzSzuzsbHGHMiAgQHzvw4cPGRYWxpYtW2q8Tt7Zs2d5+vRpsQi4ra0tBUGgnZ0dBUFQK+T8tv5Zls9DhUJBd3d3MRRZ9bOvXbtGU1NTTpkypdQQvoULF6rtTmqa19v8pUuX6OHhQQcHB7VafqrPodOnT7Nz5868ePFiudh47do1duvWjR4eHiWUshctWkRjY2MxJL28VuRlMhn79OnDbt260dLSkqamphw2bJgYVp2cnMxevXrR3Nyc33//PfPy8kTbbty4wUmTJtHa2lqjtZwrMnl5ebS1taW7u3sJMbTs7Gz26tWLfn5+lMlkpe7qubq6snfv3szPz9fIPc/NzeW6des4ZcoULliwgDdv3qRCoWBeXp6YQ7d69WpxfHjw4AE7d+5MQRBoYmLC9u3b093dvVzVPSX+ewoKCjhs2LC31gt9PapAef+XL18u9ndNUVhYyNGjR9Pb25vJyclq83rVc5TIZDJu3LiRxsbGnDBhQrkrqUtUfP5rZ5Is6VB27NiRQUFBamqQmiA5OZktWrSgIAiinHx4eDgPHjzIxMREtmnTpoSACPnXRODu3buMjIwslzCv17/j+vXrvHPnDseMGUNbW1tOmzZNtOvatWtcu3YtXV1dOXToUM6ZM0fsyGU5Gc3NzWVoaCjT09NFG5V25ubm0snJif369ePs2bPfGPKqSe7cuUNBEBgSEqLmjJFkQkICLS0t+f333/Px48e8c+eO2nvlcjmtrKw4duxYjdn3PpTIUTqM/fv3pyAIdHBwUHMolf/fsWMHW7duzdGjRzM1NZVnz55lWFgYbWxsNFoIWSkypVTMVJag8fDw4Pjx47lr1y7GxcUxOTmZa9eupampqZgLTb4q9Kxsv+VJWloaExISuG/fPo4ZM4atWrXitGnT/pZDWZbIZDJ269aN7dq1E8Vhbt++TVNTU4aFhZVwJBUKBYuKipicnMyJEydq9Nknl8vVFlhI9bb/JodSoVDwxYsXHDNmDN3d3TU+kVIlISGBDg4OdHd3Fx1KZQmaX375pcRv0CQ5OTl0cHCgt7c3z58/T7lczvj4+BLiQ/fv3+fw4cNpYmJCGxsbenh40NXVlT169KCjo6NGxYoqOleuXKG5uTnd3d2ZlJQk3ju5XE5XV1cKgsCOHTvSxsaGrVq1oq+vLyMjI3nlyhXevHmTW7du1dj1k8lkdHZ2pr29Pdu0aUMjIyN27dpVLOvz4sULRkZGig6lcuzPyMjg5s2buWbNGv7xxx/l2j8k/jfu379PJycnHjhw4D+ODartbdasWRQEgWvWrNHocyctLY09evTgtm3b/uOmhVKQ6vnz54yOjqYgCAwLC9OYbRLvJ1ok+b/saCpD1YqLixEWFob4+HisXr1ao2EXz58/R1JSEhITE5GYmIjz58/j3r17kMlkYrhUz549MW3atBLvfb3QqyaLqipDauRyOc6fP48aNWqgfv36qF+/PjIyMjBjxgxcvHgRnTt3xqRJk974OWVt4549ezB16lSYmppiwYIFqF27NoBXxbBdXV1RtWpV/Pjjj6hbty5WrFiBtWvXok2bNggMDMQ333xTZna8ifPnzyM4OBjffvstpk+fjsaNG4uhq97e3sjOzsaXX36J5ORkaGlpQU9PD99++y26du2Kjz/+GM+ePYODg4MY8lWWKEOnXrx4gRo1asDKygqhoaGoXr26WphZfHw8li5diitXrmDYsGHo168fAM0XGlaloKAALi4usLOzw9WrV/Hw4UN4e3vDy8tLbE8FBQWYN28eDh8+jLS0NNSrVw9Vq1bF/PnzNRK+nJ+fD5lMhjp16mDv3r2YPn069PX14erqiocPHyI2NhYpKSl4/PgxSKJx48bQ0tJCVlYWsrKyYG9vj8WLF5e5Xa9DlbBVvlpsg7a2dolw1oiICBw4cADdu3fHkCFDyjXcLDs7G71790ZBQQH69OmDZcuWoUePHhg3bhyqVq2qdu6jR48QFhYGa2tr+Pr6AoBaey0r8vPz4eHhAR0dHZibm8PX1xc1a9bExx9/rPYcu3z5MmbNmoWsrCz4+fnBxcUFcrkc4eHh+OWXX7BlyxYIglCmtv0nbt68iVGjRqFu3bpo1KgRDhw4gFmzZsHR0bHcbFAoFJg2bRru3r2L6dOno2HDhmrP/ry8PNy+fRs1a9bEV199hdzcXNy4cQMHDx5ETk4OdHR00LZtW5ibm3/QoY9FRUWIiYnB+PHj0bhxYyxZsgTVqlWDi4sLdHV14eHhgY8++ggPHz5EXFwc7t+/j7S0NABA/fr1sWfPHtSqVavM7VKOH40bN0ZYWBiqV6+OxMREjBkzBl999RU2btwIAHj58iWWLl2KDRs2YMyYMejfvz8qV65c5vZIaBblXOvMmTOoWrVqqWk3JDF9+nScO3cOu3btEtPCFixYAGdnZ43OuX777TcMHToUv/76q5iK8zoksW7dOsyfPx/nzp1DtWrV8PLlSxw5cgQtWrQolzmhxHvEP/FElSsnRUVFGt8tKG3VRC6XMy8vj5cvX+a2bds4YsQICoLAhQsXatSWt6G0UyaT0cXFhRYWFjQ2NqaHhwevXLlCkkxPT+eYMWNoZ2fHiIgI3r59mxs3bmRKSopGbFLuRhQWFnLdunXs0KED+/XrJ65IOTo60t3dnY8fP1a7zsuXL2fr1q3p7+9fbmJKZ8+epY2NDT09PSmTyXj9+nVxd+rkyZP8/fffuWnTJoaEhNDR0VHc3erXr59oe1mHWr8vJXKUPHnyhDY2Nrxw4QIzMjLo6elJOzs7tR1Kpc0pKSk8duwYb9y4oTHBDrlcLqrGkq+u55YtW2hgYMDIyEhxF7qwsJAXL17kkSNHOGXKFPr5+bFDhw7iTqamxCZSU1P/ttKp6vULDw+ntbU1x44dq7Hdgrt373L58uUMDQ3lvn37xH4ok8nYtWtXCoLAQYMGiVEhqv03NTWV7u7u7NKli8bTD86dO0dBEDh48GB269aNVlZWDA4O5pUrV0qUNIiNjRV3KJX1bE1NTTVaR/I/kZCQQHt7e+rr63Px4sXvxIa+ffty/vz5JdRuFy9ezN69e9PQ0JAWFhYMDw8vd2Xe9wmFQiGOIx4eHuzSpQs9PDxKzFGKioqYmZnJP/74g8uXL9dY6KiyVreXl1eJZ9iOHTvUFGRJMisrS9yhXLdunVq0gSSAUrFR3p99+/axefPm/zGya8uWLRQEgfHx8eVhnjhn/+2332hsbCzaV9ouaHFxMfft21ciPUJqgxKl8Y+cSVLzIUCJiYncuXMnw8LCuGLFCsbGxoqvvR6ylZ6ezkWLFonFucsTZTgZ+SrU0MfHh15eXjx58iSXLVtGR0dHOjo6qjmU48aNE+tfde/eXSPXUiaT0cPDg5cvXyb56n6tXbuWdnZ27NevH+3t7dmvXz81R1b1ui5YsIAdOnQoN9U45USgdevWdHJyopmZGcPCwkrN0czOzmZCQgJ3796tscny+1YihySTkpI4evRocRKfkZHBvn370s7OjuvXry9XNU8lrVu3VsvFlMvl3LRpEw0NDRkSEvJG1eLHjx8zISFBY6q3GRkZNDU15bhx4/4nh3LMmDH09fXVSN+NjY2ljY0NW7duTTMzM7HWmNJxzcnJYffu3WljY8MDBw6o9ZHU1FR6eHjQ0dFRPK7p+z5ixAi6uLgwKyuL8+bNY/fu3SkIAgcOHMjNmzfzxYsXYh9RqrwKgvDOHUklN2/eFB0P1RxKTU+eCgsL+ezZM7Zs2VJU4s3IyODZs2fZq1cvCoIgqoErlbSVNZXLo3zF+4hyHHFwcKAgCGr3U9kGy+M5mJubyw4dOnDIkCHMzMwU75fy/0ePHqWZmVmJgu9ZWVliyGNpqTsSFYvX29KpU6coCIIYKv/668q+euHChRKLCZqgsLBQbX6SnJxMQ0NDzp8/v4RNqn8/efKkXBW2Jd5f/rEzqUkuXrzIjh07smvXrrSzs6OJiQmXLVtWYqVbtRM8ffqUCxYsoIGBASMiIjRu4+u25Ofn8+bNm/T391cbwPbu3UtnZ2c6ODiIDmVGRgb37NnD9evXa0RsR3VF9NmzZ2oD2dq1a2lvb08zMzOxuHVpcv0kNS528jrKiYCjoyNbtGjBmzdviq8pr1Npk3dNOZQVtURObm4uo6KiOG7cOIaGhvLUqVPiKrayXSoFdt7kUGp6MaioqIgKhYI9e/YskWchl8sZHR1NQ0NDhoWFqTmU5WUfSa5evZqGhoacMmVKiZy/N1FarcSytFVZ/iM8PJzx8fEsKCjgtGnTaGBgwHv37qlFQDg4OLBt27Y8cOCAGCXi7u7Orl27io6kJncmVVe727Rpw6NHj5J89Sw+ePCgKFrUu3dvtTzTW7duceDAgSXyn98lyhzK0kR5yprXJ5iTJk2ikZERp02bxkGDBrFFixa0sbFheHi42s739OnT6eLioiZEJlESZaRL27Zt2bdvXyYlJZW7DZs2baIgCBw3bpx4TFXwbvLkyWzXrl2pY+yLFy84f/78D1ZM6X0hPz+fPj4+aovGOTk57NevH1u3bi0u1Cv7u2qf3b59O9u1a6exqDSlfYMHD+bixYvFtpeZmUl/f3/a2NioOYqvj2H79++njY2NVENS4j9SYZ3JK1eusHnz5gwPDxedievXr5c6MX+9A6SnpzMiIoJ9+vTR6GB7+fJl+vv7q+2aBAUFURAE2tjYlHhA7Nu3j87Ozmo7lKq2l+WET+lIent7i6p2qhQVFXH16tWis6mcrJQ2SX4XFBYWiqFK72oi8CbepGhcmkP5php1/5Ts7Gw6OzvT2dmZ/fv3p52dHa2srNQWJl63V+lQ2tvbc/ny5eUqRBUaGkp3d3fK5fISSsKqDqXyGmqS15WASXLjxo0UBOGNDqXqIoLSYVd9vyYcyRkzZjAnJ0c8/vvvv9PExIRXr14l+VfbUjqUtra23LRpU7k6kqooBUb8/f3FY6mpqWzevDmDg4PZq1cvGhoa0srKij4+Prx582a52fbfkJCQQCcnJ3bt2lVjyrJ5eXkcPnw4t2/fLh6LjY3lqFGjaGBgQHNzc44ZM4YXL14sUUt08uTJ7N+/v0bs+reg2q6U40ifPn3U6upqEuWzITU1lYsWLaK+vn6JxbSoqCgaGRnxwoULJEt/hkiLBRWfa9eusWfPnrS1tVWrvb19+3ZaWFjQ2dlZnAuq3s+MjAwGBwdz4MCBJTYlyhLlXKFDhw5cvXq1OG6cPXuWpqamdHJyKlE3WaFQMCMjg2PHjqWXl5dG651L/DuokM6kTCbjoEGD1HZ8lMjlcr58+ZKXL19Wy3F4/aGbmZlZ6qSxLNm9ezfnzJmj9h1PnjzhoEGDKAgCt2/fLk4ElOzfv58uLi60tLTU2GqP0pEcMGCA6Eiq7p4oc+OUO5RvcyjLmv90LxQKhdqg+i4mAn+Hd1kip6ioiMOGDaOXl5faQoaHhwednJxKLTuitPf58+d0cnKis7Ozxhy31+8hSf744480NzcXBzLVdqDqUE6ZMkXjO+HFxcUsLCwU75WSNzmUyt9SUFDAffv2cezYsRoL+758+TINDQ05Z84csYC58vt37txJOzs7Pn36tMT7ZDIZHR0dKQgCXVxcyt2RVH7P0aNHqa+vz9jYWN69e5cWFhb09/dnbm4uc3NzefLkSY4ePZpmZmYVesfl2rVr7N27t8Z2DK5du8aOHTuye/fu3LNnj3g8Pz+fycnJbwzrTktLY0BAAOfMmcPi4mLJ2fh/VK+D8ll3//59Hjx4kOSrcaRNmzb08vLS+C7Ly5cv6eXlxYcPH5J8tbi9YMEC6unpiQ7lsmXLaGhoKNon8X5z4cIFDhw4kDY2Nmql56KiomhpaUkbGxueOHFCbBN//vknQ0JC2KpVK41GZiifyzKZjN7e3mzfvj1XrlwpjsNHjx5l8+bN2bZtW0ZFRTE9PZ25ubk8deoUQ0JCaGFhUaLcnoREaVRIZ/Lx48fs2LFjiQdtcnIyx48fL9Z8EwSBkZGRb/2s8hhsc3NzGR4eLiYpp6ens1evXmzXrh1PnDhRYndq+/btnDBhgkacNtUdycePH5P8azIql8vZr18/7tu3T5xsqjqU3t7e5VJ24fV7Ulqs/p49e8RJljJUycvLq0JNQN9ViZznz5/T2dlZzKVRDhgnT56kIAg8c+bMW+19/vy5OKiVNdnZ2QwMDGRISAg3bdrEQ4cO8fHjx9y9ezc7dOggtkklyvudm5vLzZs3UxAETp8+XWO74rdu3eLs2bPp4uJCJycnhoSEqDmGb3Io5XI5jxw5wnbt2tHOzk4jfTcpKYkGBgZ0cXERF3aU/VRZGqdHjx48duwYd+/ezbi4OObn54vXSiaTMTQ0VKOOZGFhIVNTU/n777/z7t27JaIekpOT6ezszMGDB9Pc3JxDhw4tUROYZLnsQP9TNBVVoCQmJobu7u50dHTk7t27Sz1HdWHlyZMn5VK+pyKTl5fHLVu2MCwsjCEhIdyxY4da21L2y+TkZBobGzMgIEB0uv/8808aGRnR19dXY3WSZTIZO3fuTBcXFzVBM6VDqdRHMDIy4rFjx95J/rqEZjh37hx9fHxoY2OjtkC0fft2enh4UBAEWltb08bGhh07dqSLi0u5lvF5+fIlBwwYwPbt23PFihXiovOZM2c4aNAg6unp0dTUlMbGxrSzs6OHh4dUz1Tib1P2NRTKgLy8PLx8+RL5+fkAIJYOmDVrFjIzM2FpaQl3d3c8fvwY69evR9OmTeHu7l7qZ70ux6wJzp07h+joaKSmpkJXVxfm5uZYvnw5/Pz88MMPP2DKlCmwsbERpZ/d3Nzg5uYGoGzLf8jlcvj4+KCoqAirVq2Crq4uCgsLoauri4KCAvTq1QtaWlpo1aoVdHV1xXIV3t7e0NLSQlRUFCZPnoylS5dqpIzFnTt3cODAAVy6dAkfffQROnbsiD59+ojfxf+Xzz58+DAmTJiA4cOHAwCsrKwwe/ZsDBw4EBs3bsTUqVPL3Lb/BWVpHB0dHUycOBG5ubmIj49Hbm4uqlevrrHvLSwsRFJSEgoKCgBALPPQoEEDAK/awdvs/fTTT/Hpp59qxLZ9+/bh/v37yMvLw549ewAANWvWRHFxMWQyGVavXo2GDRvC0tIStWrVQr169aCrq4sqVarA09MTlSpVQosWLTTS/i5evIjg4GB89913aNasGWrXro34+HjcuXNHLKfg5eUFhUKBGTNmQKFQICgoCHXr1sXJkycxbdo01K1bF9u3b4eOjk6Zl3upX78+WrZsieTkZGzduhUDBgxAtWrVEB8fjwEDBiA/Px/169cX+wUAfPnllzA2NsZXX32FQYMGYfr06QA0U/4jJycHkydPRkJCAhITE1GpUiV4eHggICAAn332GQCgcePGcHJywrx589C5c2fMmjULVapUgZaWllqplRo1apSpbZpA+bzWFC1btsTo0aMxb948rFq1ClpaWujRo4f4+sqVK/Hnn3/Cw8MDt2/fxvXr13Ht2jWsXr0aX331lUZtq4hkZ2fD29sbBQUF0NHRwdOnT5GXlwdLS0s0adIEJKGjo4OkpCS4uLjAwcEBYWFhYh9t1aoV1q5di88++wy6uroasc/Z2RlNmjTB7NmzUadOHXFMq1u3Ljw9PQEAO3fuhJmZGTp16gRAs2XKJMoeuVyOP/74A3fu3EGVKlVgYmKC5s2bo1WrVtDW1sbSpUsxZ84cAECPHj3g5uYGe3t7nD17FklJSXj58iUsLCxgaGiIzz//vMzty8/Px+HDh3H79m2xjJSenh6qV6+OJUuWYPjw4diyZQsAwMfHB61bt4YgCMjMzMT58+dRUFAAIyMjNG3aFHXq1Clz+yT+nfzPdSY1ydOnTxEUFIRnz57B0NAQiYmJuH37Nr777js4OzuL9dLy8/MxbNgwNGvWDBMnTiw3+0qbRO7evRtz5syBgYEBhg4dCnNzc2RkZGDIkCHIzMzElClT0Lp1a41OUG7evIkpU6bg0aNHGD16NFxcXAC8uk69e/dGtWrVsGjRIrU6ZMrfUlxcjK1bt6JNmzb48ssvy9y2ixcvYsSIEWjSpAlq1aqFpKQktG3bFoMHDxYnogBw8OBBjBkzBuPHj4e3t7c4yCoUCty4cQP6+voVbuBVvYaZmZmoW7euRr8vOzsbI0aMQK1atTB+/HjUq1cPCoUCDx48QLdu3bB8+XK0b9/+jXZqEuXEKD8/H6mpqUhPT0dMTAwKCgqwatUqAK+cy6ysLACvnKFmzZqhZs2acHZ2hpWVlUbsSkhIgI+PD5ydnTFw4EA0bNgQwKt6m8o+efz4cdjY2KBKlSr46aefMGPGDLi7u8PQ0BBLly7Fp59+ip07d6JSpUpl7qwpr1tBQQGCg4Nx/fp1+Pr6wsjICL6+vujWrRsGDhyIxo0b49atW8jIyMDRo0eRmJiIS5cuwcjICNu3b9fY/c3Ozoabmxvq1q0LBwcH2NjYICYmBjo6OnB1dVU7NykpCaNHj0bDhg0xd+5cqU4eXrWzixcv4tatWyguLkbTpk3Rrl076OjoIDY2FrNnz0ZOTg78/PxEh3Lu3Lk4fPgwHj58iHr16qF58+YICgr6IOu75ebmwsPDA59++ilCQkJgYGCAvLw8JCUlqdXFLSoqQnBwMHR1dTF9+nRUq1atXOxTOpKNGzfGnDlz8Pnnn6uNC4WFhfj444+RlpaGrVu3Yvny5ejduzciIiIASA7l+0J2djb8/PyQmZmJFy9eIDMzE56enggMDBTnMTExMVi6dCnu3LmD8ePHw9nZuVztGzx4MORyubgh07JlS4SFhaF27drQ0dGBTCbD8OHDkZycjL59+8Lb21vjC2cSHwDvcFdUJD09nTdv3mRcXJwobvHnn3+K6pO2trZcunRpqSGOHh4eDA8PLzdblaFjcrmcd+/eVYt337FjB62srDh48GCxhMmzZ8/EGmGqZU00xaVLl+jr68vWrVvz0KFDJMlu3bqJdSRfJzs7m3/88YdGbbp+/TotLCwYEREhhg7m5eWVsCcrK4ve3t5cvnz5W8McK2JoUHmLFcXGxpaQ605MTKQgCPz111/FY7m5ufztt9/UapWVB6Vdj0GDBjE4OJg3btzgzz//zBUrVtDX15edO3emmZmZxnIzcnNzOXr0aI4aNUpNFVM1tzQoKIjGxsZcsmSJmOf8008/0cDAgIIgsFevXmLf11QeorJdy+Vy+vn5sVWrVjQyMmJISAjJN4fsX7lyRaPqt3K5nN7e3hw4cOAb1W5XrVolqhkqFAqGhobS2tpazE97l2Je7xqZTEYvLy9269aNlpaWNDExoa+vr1p7j4mJoZubW4mQ17S0NN66dYsymazc+3BFYtGiRfTw8BAF+FT7wsuXL3n27FnGxMSwuLiYKSkpGhU0eR2ZTMaOHTuWqlEgl8vp5eXF6Oho0eb09HQuXLhQLYdSouKTnZ1NBwcH9u/fnxcuXKBMJuPdu3dLLetx9uxZMeR1//794nFNPgdzcnLo6OjIAQMG8PLly8zKyuKTJ09KDaXNyspi//792b59e65atarcykdJ/Ht5587k5cuX2atXL1pZWdHIyIjOzs6i0/jkyRO+ePGiRH6X8qEcHx9PV1fXN+ablDXKjiaTyejj40MrKyu2a9eOkydPFs8pzaFMS0vjxIkTy62jXrhwgYMHD2br1q1pbW1darFk8tXDUVm3TFNF1wsKCjhx4kQGBwerCf+Qr67jgwcPuHv3bh4+fJgFBQV8/vy5xvJZ/q0or2dcXJxaTTWZTMaJEyeyS5cupYq2lAVFRUWUyWSMiYnhjRs3Sjgbqm1+0KBB9PT0LPV1TarFPX36lB06dGB0dLR4THVQDwgIYJs2bcTFq4ULF4qO5oYNG+jh4aERR1K1tIOqyI/yteHDh9PY2JgLFy4UHQnVEkKvO5eaer6cPn2azs7OPHv2rHhMtY8uW7ZMzGFXqpM+fvyY5ubmnDRpkkZsel/Iycmhs7MzBwwYwDNnzvDZs2d8/Pix2rVUoupQ7tq1Szz+ITviSvz8/BgaGqp2TC6Xc9q0abS3txfbn7Ozs/isKw+9BLlczq5du9LBwUF0YFUdSUdHR/bq1atEbnF6ejoXL15MQRA4bdo0jdsp8c8oLi7m999//1Zl+du3b6vNVZUOZfv27fnzzz9r1D6FQsGZM2fSy8uL9+/fL/HMyMnJYUxMDJOTk8W5oNKh7NixI6OioqR5l8Q/4p3mTMbGxmLQoEFwcHBA3759cf/+fezatQtDhgzBvn37xHDMmjVrAniVS1mlShUAr/Lvpk2bho8++gjdu3fXuK38/3yMnJwc9OrVCzVq1ICfnx9u3ryJAwcOoKioCJGRkejduzcAYP78+Vi5ciV8fHxgbW2NGTNmACjbcBZl6NS9e/dQpUoVNGnSBBYWFrCwsIC2tjZWrFiBmJgY2NnZiddSGXqTk5ODWbNm4ejRo9i5cydq165dJja9TmFhIeLi4uDo6CjG32tra+PevXuYOXMmLl26hJycHABAs2bN8NNPP0FXV1fMNZHAW68F/z8HDQCePXsGAKhTpw4KCwsxe/ZsHDx4ENHR0WqhxGVFTk4OZsyYgWvXruHWrVvQ1tZG1apV0aNHD3Tp0gUWFhbQ0dER83YNDAywZ88evHz5EtWqVVP7Tco+rgkePHiA9PR0GBgYAFAP9w0MDMSlS5fw888/o27duhg5ciS2bduGli1bwsbGBgMGDED//v2hpaVVpqGtV65cweLFi9GqVSt06dJFDC1X5jd/9NFHmDdvHoKDg7Fz507o6urCx8cHn3zyyRvDlTUVJnfhwgXk5eWphSArc85+/PFHrFixAhMmTMDt27cRFhYG4FVeuKmpKc6ePQuZTFbifn8IKBQKLF68GNWrV8eUKVPQtGlT8bX69esDUM9tbdmyJUaNGoUFCxZg3bp1KCoqgpubm8ZD0ys6hYWFKCwsxMuXLwEAMpkMFy9exIIFC3Dr1i189dVXCA0NRXZ2Nvbs2YPx48dj3bp15dLekpKSUKdOHSQkJOD69eti3lxBQQFcXV1RvXp1LFy4sERuXN26ddGvXz/o6uqKuZMSFZf8/HzcunULdnZ2aNKkiXi8uLgYS5YswZ9//om4uDjUrl0b1tbWmDdvHqytraGjo4PZs2dj1apVsLe3R9WqVTXSLrW0tHD9+nUIgoCvv/5aPF5UVISoqCicPHkSt27dQtWqVWFlZYVhw4bBwMAAP/74I7y9vXHkyBF4eXmhVq1aZW6bxIfBO3MmY2Nj4ePjg759+2LEiBGoWrUqgFc5VFOnTsWOHTswcOBA8fzg4GCQRPPmzZGYmIirV69CW1sb27ZtUxNC0RRaWlpQKBSYNm0aGjZsiMjISNSvXx+nT5/GlStXcOzYMRQWFmLu3Lno3bs3tLS0MGnSJHz99dewtrYWP6esbMzOzkZgYCAePXqEZ8+eoaioCLq6urC0tER4eDjMzc0RGBiIJUuWYM2aNahVqxZcXV2hra0NmUyGOXPmYO/evdiyZYs4ydYECoUC1apVw+PHjwEA9+7dw5kzZ7Bo0SLk5OSgQ4cO6N27N54+fYo1a9YgIiICCxYs+OAmnq8jl8vx5MkTfPnll6VeC2V7LywsLJHv8Pz5c6xbt06j9zc7OxseHh6oXbs2unXrhnnz5uH27du4evUq1q9fj7Nnz2L48OFwdHQUHY9vvvkGGRkZePz4MQRBAPBXf9Dk/f7kk09QUFCA1NRUmJmZiZPzFy9ewNLSEsHBwWjQoAF0dHTg7e2NgQMHqtmjFI8pC0eSJIqKijBv3jxcuHABxcXF+PHHH9G3b19YWVnB1tZWvJ8fffQRFi9ejKCgIFEwYeDAgahSpUq5LrZkZmbi448/Fp+Byut39OhRREVFYcGCBejatSuSk5Nx7949rFixAs7OzggMDMSnn36qUTGqikxxcTHi4uJgYWGh5kiqomxT0dHR6NWrF6ytraGrq4vJkydj586d6Nq1a7nl/VUkCgoK8PLlS9StWxeVKlWCvr4+tm7dCi8vL+Tm5iIhIQENGjTAkCFDMGjQIFFQ7OOPP8aePXsgk8nKpd19++23CAkJwbx58zB06FBs2LABxsbGcHFxQbVq1bBw4UJx4UBJTk4Orl69iubNm8Pf3/+DH+veB/Lz8/Hs2TMUFxcDeDX+3bx5E7NmzUJ8fDwaNGgALy8vPH/+HCdPnsTcuXMxduxYWFpaIjQ0FPXr19dYPyaJzMxMpKeno2XLlgBejW3x8fFYsGABbty4gfr16yMwMBDPnj3DiRMnsH//fgiCgOrVq+Onn35CVlaW5EhK/CPeiTMZFxcHHx8fDBw4EAEBAahatao4OerYsSPmz5+PFy9eiOfn5ubiu+++w+bNm/HHH3/g22+/RatWrTBu3DiNiGG8CaXISdu2bVGvXj28fPkSp0+fxjfffIOWLVti3759mDRpEqZPn45evXrhs88+g42NTZnbkZ2dDRcXF9SvXx+TJk2Cnp4esrKysGXLFhw6dAgDBw7EzJkzYWZmhqFDh2LZsmWYN28eAMDV1VXjjuSTJ08AvFp9/+STT6Cnp4cDBw7gypUryMzMREZGBszNzeHs7AwPDw/xfQ8ePMC1a9fURFE+RBQKBQYMGAAtLS2Eh4fju+++A/DXDqXSkUxOTsa0adPw/fffo1GjRuJgMH36dNy9e1dj97egoAAjRoxA3bp1MW3aNHzxxRfQ1tZGs2bN4OjoCAsLC4SGhiIqKgq1atVC69atAQC1a9eGtrY20tPTRWeyrFF1spSOT/369fHNN99g9+7dsLS0FHdpa9WqBS8vL/HZkZ+fj71798LY2BiWlpZqn1tWEz4tLS3o6urC29sb8fHx6NKlC+zs7LB27Vps3rwZNjY26NSpE7p27YoqVaqIDmVwcDC2bduGnJwcjBgxolz6h7Kdffzxx0hPT0dWVhZq1qwpXld7e3ts3boVpqamAIAmTZogLy8PzZo1Q+XKlWFubq5xGysySUlJuHXrFoKCggCUrrBLEgcOHEBERASqVKkCV1dXtGzZEpGRkfjss88+WEfSzc0NxsbGCAwMRMOGDTFixAi8fPkSV69eRV5eHtzd3dG/f380btwYlStXFq+tXC4HSY2otb6OMuLC0NAQY8aMwezZs+Ht7Y3q1aujUaNGmDt3bqmO5A8//ICYmBj8/PPP+PjjjzVup8Q/55NPPsEXX3yBHTt24OnTp3jy5AnOnz+PKlWqoE+fPggKCkKdOnVQVFSECRMmIDk5WRyLWrRooVHbtLS0ULt2bVhZWWH16tV4/PgxHj58iPj4eNSoUQPe3t4ICAgQF1yqVKmC33//HWPHjkVRURGqVav2QT5nJMqY8o6rffjwIfX09Ni9e3e13AZlLtCjR4/YqlUrLl++vMR7nzx5wqSkJLXkek3mIb7+2ZmZmWzVqhVXrFhBklyxYgVbtmwp1uLp2LEjBUFg586d1XLHyjLPSllHsn///iUEbLKzs3ngwAHa2dnRwcFBfD0mJoa+vr5s164dXV1daWpqyuvXr5eZTUoUCgUfP35MY2Njfv/99+I1UOa2+Pj4sG/fvoyOjlarwaW8PmFhYRw6dGiZ2/U+cuzYMTZv3pz+/v68efOmeFyZ15CYmMiWLVtyzJgxYj7d3bt3KQgCzczM1N5T1sTExNDJyYnHjx8XjylzNJR5Sr/99hv19PQYEhIi9qOMjAzq6elxyZIlGrMtNzeXOTk5fPLkiVqdwMjISAqCwE2bNr3x+REfH08XFxcuXrxYY/YpSU9P58CBAzlhwgSSr+pIbtu2jS4uLhQEgU5OTty0aROvXLlC8i8hD39/f43mgik/W/WZFRcXRyMjI06fPl08VloNxtOnT6vVBy6PnLWKTEZGBlu0aMGlS5e+9bynT5/S0tKyXNrd+0JYWBj19fU5c+ZMJicnk/wrP/v1/EMlz5494/Dhwzlp0iSNiWTl5eVx8+bNDA0N5ejRo0XRKfKV0FxQUBAFQShRI5t8NT6HhYXRzMyMV69e1Yh9EpojJSWF3bt3Z8uWLWlmZsbRo0fz0qVLzMnJIfnXMzMkJIReXl7lbt/z588ZEhJCQ0NDWltbMyQkhNeuXRPz/5Vzh3nz5tHDw6Pc7ZP4d1OuzqSymPvQoUPZtm1bLliwoITq2qBBg+jo6Cj++20TEk1OVpSTzLy8PG7bto2HDh1iSkoKjx8/zkuXLvHatWvU09PjgQMHRFt69uzJoKAgtQl0WZKbm0s7Ozv6+/szPT1dbQKvvBZyuZwHDx6khYUFBw0aJL738uXL9PT0pI2NjcYL5U6dOpWGhoaMjIwUJwJKW5Vt4HXu3r3L3r17a9TReN84efIkTUxM6Ofnp+YcJiUlsWXLlhw1alSJ/rNhwwaNFxpevXo1raysSi08r9onlyxZQhMTE1HxODU1lU5OTmoKyGXJtWvXGBQUJC7qjB49WlR/LCwspLe3Ny0sLLhhwwa1CWlRURETEhLo4eFBd3d3se9q2hlavHgxzczMmJiYKB7bsmULDQ0N6eDgQH19fTZv3pyRkZE8deoUFQpFCae9LMnJyeHUqVPp5eXF7t27c9u2bXzy5Amzs7MZGBjIFi1acMOGDeL5qhP258+fc+zYsXR1dX3jZP/fTl5eHhMSEsR7k5GRwR49etDT01N8DpaGXC6nnZ2dmrP+oaIqHDJr1iwKgsDIyEimpKSUOFdVtCs5OZmTJk2ilZVVqarvZYFMJqOrqyu7d+9OZ2dn2tvb09vbmw8ePBDPuXLlCgcNGsTmzZvzzz//FI8rHUkTExONLORKlB1FRUXMycnhlStXGB8fT5lMJjqMz58/Z1JSUgnlcWWff/z4MQcNGsRFixZpzL7CwkKmp6fz5MmTPHfuXIn29PDhQzXBPdWxIj09nf7+/gwPD2dxcfEHv+AnUXaUmzN54cIFenl5ibtlwcHBbN26NefNmyeumAwZMoTt27cXB4N3LVOcnZ1NJycnWlpaUhAEenp6is5jdHQ0u3btSvLVAHjt2jX26tWLhw8fFt9flvYrFAquXLmSgiBw7ty5b/2O7OxsTps2jSYmJjx9+rR4/MqVK3z06FGZ2fQ6qrbMnDlTnAiUpsarqi575coVenh40NXVVWMryu8DpTkLqg6lchFg8eLFDAkJUXMky1PxcdGiRWzfvr1aaY3SOHv2LAVB4MmTJ8VjykG5rImNjaW5uTlHjRrFH3/8katWrWJYWJia8l5SUhIHDBhAQRDo5eXFn376ibt27eLEiRPp5uZGDw+PMpdIV95H1UFb+dk5OTm0t7fn6NGjSZI///wzBUFgVFQU8/LyePDgQY4aNYqCILBv374llF/LEplMRgcHB/bq1Yu+vr50c3Ojnp4eZ82aRZK8evUqHR0d2bJlS86fP1/tvbGxsQwJCaGFhYVGd8QrMgqFgj4+PrSzs+OlS5fEe7V9+3bxnqr2V9Xn3MWLF9mlSxdx7PiQJ3gKheKN44hqJM7KlSvZpUsXRkZGcvLkyezbty/btGnDGzduaMSunJwcOjk50dvbm/Hx8SRfqbSXtkiQkJDAAQMGiA6lQqHg5MmTJUfyPUDp9CsjRPT09Ghtbc3Q0FCxbb2pfz558oSTJ09mmzZt1BYIy9q+MWPG0MnJifr6+tTT06ORkRGDg4NLlAoj1SNIUlNTOXnyZFpZWYmLrBISZYUWSWo6lDY2NhZeXl7w8vLC6NGj8cknnwAARo4cidjYWPTp0weXL1/GgwcPsGTJEo0KwvwnlJdDS0sL06dPx/379zFixAgkJydj9erVKC4uxtixY5GXl4eRI0di3rx5qF27NhYvXoxKlSph/fr1GhMCunfvHqKjo7F582aMGDECQ4cOBaCuTsn/j9NPTExEjx49MGbMGAwYMEAj9rwOSSgUCvH3z5o1C+vWrYOPjw98fHzE/JGQkBCcPn0alpaWyMrKQlpaGmrUqIGNGzdCV1f3gyvgXNrvVb2np06dQnBwMFq1aoWwsDA0btz4nV6jrVu3YtasWYiKikKbNm1KvK5sgzKZDNbW1pgzZw66du2qMXvu3bsHHx8fdOnSBYGBgaIy8Ztyb+fMmYOLFy/izp07qFSpEszMzGBubo7BgwdDR0enTHOwCwoKoK2tjczMTDVFXZIoLi7G3Llzcf78ebRr1w4rVqzA0KFD4evrKwqSKRQK3Lt3D02bNtXY/VYWXG/SpAmmT5+Ozz//HAUFBZg5cyb279+PLVu2QF9fH1evXsX8+fMRExODRo0aoVGjRsjOzkZ+fj50dHQQGRmpsVzY94GrV68iKCgIn3/+OSZMmIAWLVqgqKgIU6dOxd69exEQEAAXFxc0atRIfE9GRgbmzJmDa9euYc2aNaLq9oeOat+dOXMm1q9fDx8fH3h7e6NBgwaIiYlBZGQknj9/jmrVqsHCwgLe3t746quvNGJPVFQUzp07h+nTp6NJkyZqCrtPnjxBQkICtLW1YWpqilq1auH27duYPn06EhISYGhoiLi4OERHR7/TuY3E28nOzoabmxvq1q0La2trtG7dGllZWTh48CCOHz+OTz75BFFRUWjevDmAV23i/v37sLW1xaNHj3D58mVcu3YNa9euhb6+vkbsU4reOTg4oH379khKSkJCQgIWL16MmjVrwt/fH/369QMArFy5Ert378agQYNw584d3Lt3D7du3cKqVas0Yp/Eh43GncnLly+jf//+8PHxQWBgID755BO1ifCIESPEjrps2TJRjepdoJxEKu2LjIxEkyZNxM75+++/Y8GCBVAoFLC1tcX9+/dx7NgxfPrpp/jyyy/LxRlKSUnBqlWrsH379lIdSuVEXi6Xo1OnTnB1dcWoUaM0YgtQ+oT9P00E4uLiEBUVhWfPnqFhw4Zo0aIFBg0aVOYT+feB3NxceHh44IsvvsBnn32Gtm3b4osvvsCXX36plhR/6tQpjBw5Ei1atMC4ceOgp6cHAG8sE1FWFBUV4fHjxyCJatWqoXbt2khJSUGPHj3Qtm1bzJgxQ3R8Xmfv3r1YtGgRoqOj0aBBgzK3TdnW161bhzNnzmDq1Klo2LAhtLS0oKWlhYyMDFy+fBknT57Exx9/jGbNmqFPnz4AXg3ML1++RHFxMRo3bix+Zln23Zs3b2Lz5s24cOECnj9/DgsLCwwZMgRmZmai7SkpKXB2dkZeXh7Gjx8PT09PsfyR6m8EShdw+adkZ2ejR48e+OKLLzBnzhw1Z+b27dtwdXVFUFAQ/Pz8oKWlhbS0NCQkJGD//v0oKChA1apV0bFjR5iampYof/AhkpCQgCFDhojiaM2bN8ejR4+wdOlS7Ny5E1ZWVujYsSNat26Nc+fO4cKFC4iNjcWaNWvEPv0hkZubixEjRqBJkyZo1qwZvv76a5iYmEBXV1dNRGfOnDlYs2YNfHx8MGDAADRs2BCFhYXIyMhAjRo1Spxf1gwbNgxVq1ZFZGSk+HxQll86deoUkpOTAbwq7zJ27FiYmZnhxo0biIyMRHx8vLggI1ExKSgoQEBAAIqLizFt2jQ0aNBA7Vm7fft2rFy5Ejk5OaKzuHr1aqxcuRJyuRx16tSBiYkJgoKC8M0332jEvqCgIOTl5WH69Olo1KiRmijctWvXMHLkSMjlckycOBGOjo6Ijo7Grl27cOvWLdSvXx8tW7aEv7+/WukQCYmyQqOz9qtXr2LgwIEwNDSEt7e3uCOpWspj0aJFGDduHE6fPo0//vgDenp6qFatmsYnya+jUChQqVIlZGdnIzQ0FOnp6UhISMCkSZPEc9q2bQsAWLhwIc6fP4/27dsjICAAT58+Rbt27crFGWrcuDF8fX0BAIsWLQIADB06FNra2moT4evXr6Nq1aowNjbWmC3x8fEYM2YMvv32WxgZGaFJkyawsrLCxx9/LDqTISEhqFy5MlasWAEA6N+/P8zMzLBy5Urk5uaqybcXFxd/UI4kAFy6dAl37tzBnTt3AACHDh1CTk4OPv/8c3z33XcwNDSEubk5mjRpItYdXLNmDQYOHAgDAwON9pGcnBxMmDABd+7cwbNnz9C0aVOEhISIZWfmzp2LBg0aYOzYsSXuW1ZWFs6cOYNvv/1WYxL9ysH08uXLyM3NFXd8iouLcf36dYSHh+PatWuoVKkSPvroI+Tm5iI1NRVjxox5o4JdWTmSFy9exLBhw9C8eXO0a9cOX375JU6ePIm8vDw12xs2bIg+ffrgyJEjMDExUXMkVc8DUOZ9Qy6Xo0+fPqhRowbWr18vHldVca1atSqqV68ulkepV68e6tWrh/bt25epLe8rfK1Ei76+PlatWoUhQ4YgIiIC33//PczMzBAWFgZjY2OsXbsWs2fPhkKhQJ06daCvr48NGzagWbNm7/BXvDt27NiB33//Xfx3nTp1IJfLxbGkUaNGsLOzw7hx46BQKLB582Zoa2ujT58+aNKkSQm11LKGr1KB8PjxY3z99dfQ0dFBWloa4uPjERUVJda5nDBhAnR1dbF48WKsW7cOixYtgoGBAUJCQlC3bl1px7mCc+PGDTx9+hSjR48W1clVI63c3d2hq6uLmTNnYsWKFZg9ezZ8fX3h7OyMR48eoUGDBqhevbo4xy1r7t69i9TUVAQGBoqLn8o5cnFxMYyMjBAVFQUvLy/s2rULjo6O6NOnD9zc3JCUlCT+Jkk9WEJTaGzmrqwjWa1aNdy5cweHDh1Cr169xAmcqkM5Z84cjBgxAjt27ABJ+Pr6onr16uVWS43/X/hdLpejX79+yM/Px5dffon8/Hz89NNPaNq0qShz37ZtW5DEkiVLsGnTJtjY2MDOzg5A+TlDTZo0wZAhQ6ClpaXmUOro6EChUCAnJwdbt25F5cqVYWJiojE7jh8/juTkZCQnJ+PXX39FrVq1kJWVhQYNGsDCwgJNmjRB27ZtERQUhBcvXog1QT08PNCkSZMSTsaHFNqal5eHrKwstGnTBvPnz8cPP/yAb7/9Fu3atYMgCDhx4gSuXr2KTZs2YcWKFfjoo49gYGAAXV1d7N+/H9nZ2Rg1apRYNqSsyc7OhqurK2rXrg1XV1ekp6fj0KFDGDp0KLZs2YLevXsjJSUF69evx4sXL9C7d2+YmpqiUqVKuHz5Mnbt2oVTp05h06ZNGpUdVygUqFevHlJSUnDu3Dloa2vjt99+w9atW1FYWAhnZ2ex/e3atQunT5/GwIEDxVBYTXDz5k0EBQXB2dkZQ4YMEcNbe/bsKe7i7tq1C66urtDR0YG5uTk2b96M69evo2XLluW2O3/p0iUUFhbi+fPnSExMRNOmTdWiCjZt2gSFQoEOHToA+Muxff25XF7P6YqEciKndLLf5FBOmzYN4eHhMDAwgIeHB9q3b4+cnBykpKSgWbNmqFmz5gcty9+/f3+kpaXhwIED+Oyzz9CzZ0+8fPkSly5dwu7du5GZmYnw8HDUr18fNjY2kMvlOHToEHJzcxEQEKBxZ1LpTPTq1QsRERF4+vQpXr58iXv37qFevXrw8/ODj4+P+DypXbs2ZsyYgcePH6NBgwYwNDTUqH0SZUNsbCyePHkCS0tLcYFWS0tLnFNpa2vDxcUFV69exb59+/DixQt8/vnn4n+a5urVq3j8+DFatWolHlPaqbRRX18fEydOxPfff49z587BysoKOjo6aNas2Qf3fJZ4B2giEfPChQs0NDQUhWL8/PxobGzMdevWlVCfVE22HzlyJNu0acOIiAiNCXW8jqoU/i+//EJfX18xeXrPnj20sbHhkCFDGBcXp/a+48ePa0y19T8JMCgFOFJSUjh58mQKgiDKz+fm5nLSpEk0MzPTuGprcXExZ8+eTVtbW3p5efHIkSPcsmULJ0yYwE6dOtHQ0JCCINDS0pJ+fn4UBIFt27ZlWFiYWmmQD43CwkL27t2bU6dOFY/t2rWLNjY29PX1VVNjffr0Kc+ePcvo6GgGBATQy8uL+vr6tLCwKFEapqxQlp8ZMGCAmlDSnj17aGpqKgqwJCUlcenSpTQ1NWWLFi1ob29Pe3t7Ojk50cXFRSNiLKX1jcuXL9PU1JRmZmbU19enIAgcPnw4f/nlF7XzfvvtNxoYGGhUfEAul3PSpEkMDg5WU9RTFStSlg9QlgVRHrOxsSn3fhETE0NnZ2daWlqqtbuoqCgaGRnx1KlTJN+9GFpFIjc3lxMmTFATWyutXd64cYOtW7emj48Ps7KySJavUFZFR9mmiouLGRERQQcHB06cOJF5eXkkXylj3rt3j9HR0Zw6dSp79epFKysrCoJQ7n0lOTmZK1asYOfOneno6MgpU6bw9u3bosCJ8v4vWbKE3bt3l/rLe4LyPi1cuJD29vYkS+/Lyn5748aNEqJy5cGmTZtoYWHxH9v8tWvXaGhoyH379pWTZRISryjT5W+SePHiBYKDg+Hp6Ql/f38AwIoVK+Dn54f58+dDS0vrjTuUCxYswMCBA/Hw4cMS4V6aQlkEftiwYcjMzETVqlXx5ZdfAgB69OiBgoICLFy4ED/++COGDRsmFuju2LEjOnbsCKBs86xyc3MRFRUFFxeXUnedlN+VlpYGLS0tjBw5UtyhLCoqQm5uriiaockcHKUdY8aMgVwux++//45Tp04hNDQUffr0QVZWFoqLixETE4Pbt2/j+vXraNSoER4+fIgHDx5odGeooqNQKCCXy9VWC11cXKClpYWZM2di1qxZ8Pf3h6WlJT777DN89tlnsLa2Rt++fQEAt27dQu3atdUEXcqK7Oxs9OrVC1999RVmzJiBevXqiTsvPXr0wOrVq3H//n0Ar3bIhw4dCmdnZxw7dgyPHj2Cjo4OrK2toa+vrxH7SlthNTMzw4YNG3D06FEAgKmpKTp37iyeq1AoQBKpqakwMTHR6G5GYWEhLly4ADc3N/H3k0TlypUBvIoguHbtGnr27IkzZ85gzJgxmDdvHlxdXXH06FEcOXJEvM+aIC8vD9HR0UhMTETlypXh6emJoKAgLF26FP3798eRI0ewZ88eLF++HLNnz0a7du0AfFhRA/+JO3fu4MCBA0hJSUHlypXRvn37N+5Qzp8/H76+vli/fj2Cg4PLNXWjIqPc8VOOI6GhoYiMjMThw4cxZcoUTJgwQeynTZs2BfAqbyw/Px8JCQlo3Lgx6tSpU+Z2FRYWIiUlBdeuXYNCocCnn36KNm3aoHHjxvDz80Pfvn1RUFBQYvzS0tLC8+fPcefOHRgaGqK4uFjcuZaoeCijP5TPta+//hrJycn4888/YW1tXeJ8Zb+tVasWgFfzH03bV1BQIIbNfvrpp8jLy8P58+fh6OhY4nzls+e7776Drq6umE4hIVFuaMJDVS2UqrpCp9yhXL9+/Vt3KDVZS+1NnDt3jsbGxmzZsmUJefHt27fTxsaG/v7+jImJ0agdynIKI0aM4L1798TjqpLpiYmJbNWqlViTMSkpiT/88AMFQaCBgQGvXbumURuV90cpb19cXMzp06ezbdu2HDduHDMyMkp9X25uLhMSEt7J/a0oKH97SEgI+/XrR1Jdvnv37t20srKir68vL168KB4vLCzU+PUqKChgu3btaGlpqbarXVhYyOLiYsrlcnbr1o0TJkwQbS7PnZakpCTu3LmTQUFBDAwM5KRJk3j06FGx3tzr10d15yMpKYkeHh4MCQnRqI137tyhoaGhuHKtapOPjw9btWrFpKQkZmRkcMaMGTQ0NOSBAweYn5/PsLAwjZbGkclkdHZ2pqurK11cXNihQwe2adOGJ06c4B9//EEHBwcaGxtTEASeOXNG2l15C2fPnmX79u3p4eHB3377TTyuer+Li4tZXFzMkJAQ+vj4MDc39x1YWnHIy8vj+fPn1epDklR7lkyfPp22trYcP368eJ6yT2i6bFR2djaHDRtGJycnmpiY0MTEhAYGBnRwcOChQ4f4/PlztfNVyz8kJydz8uTJtLS01FidS4myIS8vj4GBgWo1c+Pi4mhmZsaRI0eWKGWmyu7du9mpUye1iJ2yRi6X083NjatXrxbnyTKZjHZ2dvTy8nrj/Iokjxw5wg4dOkhtUKLcKbNl0pSUFFy+fBkAYGhoKK7Ea2tro6ioCMCrHUpra2vMmzcPP//8M7Kzs8X3K+O+le9RKBTluqrXqlUrbNq0CUVFRVi6dClu3bolvubm5oZRo0bh5MmT+PXXXzVqh7W1NaKionDixAksXLhQ3AVSxu8nJSXB3d0d1tbWYskPpeKsr68v9u/fr5E8jbt37+Lo0aN49uyZuEpXqVIlsfRBSEgIHBwccOHCBcyaNQsvXrwA8GqlF3i10lalShXo6emJSeMf2qqtqqhUgwYNcP/+fRQWFuKjjz4SS9L07NkTEyZMwLVr17B06VJcunQJQNmLr5SGrq6uKId+5MgRZGRkiN+tra2NpUuXIjU1FUOHDhXz6lRL0iihBgSiL126hCFDhmDjxo14+vQpcnNzceLECYwePRpBQUHiTj3w6jqfPn0aeXl5yM/Px+nTpzF+/Hjk5eUhIiJCYzby/3Ovi4uL8ejRI9EWJT179sTatWvRuHFj1K5dG507d0ZRURG0tbVRuXJlhIeHo1KlSuLzsiwpKirCuHHjUKNGDcyfPx/R0dHYuXMnGjZsiKioKFhYWIjqo1WqVEH9+vXFnSOJv+D/C7JYW1tjxowZePLkCZYvX46TJ08CgLhDCbzqG8pc/IKCgg9a/KKgoACenp4ICAjAgAEDsHfvXiQmJgKA2rMkJCQEnTt3xvnz5xEZGYkXL16gUqVKokCepsjJyYGbmxtkMhkGDx6MX375BQcOHEBYWBiqVq2K0NBQ7NixQxzXVq9eDV9fX8yZMweTJ09GaGgoTp06hfXr12tEzVOi7MjKysL169exbds2bN++HcCraJZBgwbhl19+wfbt25GWlgbgr3GCJLKysnD27Fk0a9bsjQrmZYGOjg4+/fRTLFmyRMzPrFatGoKDgxEXF4eIiAi1ubOSly9f4sSJE2jSpAnq1q2rMfskJEqlLDzSxMREGhoa0s7OjgMHDmRMTAzT0tLUzlHdfXnbDuW75uLFi7S0tOSIESNK5HydOHGi3FbrDx06RCMjIwYFBfH27dskyRcvXtDW1pYjR44s9bopC66XNY8ePaKpqSktLS3ZoUMHbtq0qdTiy8XFxZw2bVqJleUPPU+otBX1/fv309TUVFxlLCoqUrtOyh1Kf39/nj9/XuM2qn73lClTKAgC58+fz/T0dJKvcugMDQ157Ngx0d7yIj4+nubm5gwPD1frk/n5+YyIiBDzNZXPnJ9++omCILBTp060sbGhvb09Bw4cKPYPTdver18/duvWTe3evk5eXh6nTp1KFxcXsS9rcuc5NTWVjo6O3Llzp9rxzZs3UxAEMZrhxIkT7N69O1u1aiWubks7lCVR3quzZ8/S1ta2xA6lksTERA4YMIBz5879oJ+Dz549E/OpZ86cST09Pdrb23PmzJm8c+eO2jOyqKiIERERtLW1ZUhISIkdwbKmoKCAQUFB9PLyKrErVVxczCdPntDf358mJibcvXs3SfKXX36ht7c3LS0t2bVrV37//fd88OCBRu2U+Oeo6k24uLiwS5cu3LJli/j6xIkTKQgCQ0ND1aLQLl26xMmTJ9PCwkKcj2mSwsJCjh07liYmJty0aRPz8vIok8m4aNEiGhoactCgQfztt9+YmZnJgoIC/vnnn5w4cWKJ3HcJifKiTJzJmJgYCoLA0aNHMyAggMbGxuzZsyd37tzJpKQk8TzVwdTPz49mZmZcunRpuYnt/F2UDuXIkSNL7ZiaFt1RDqwHDx6kIAgMCQnh/fv3WVRUxD179vDly5dl/v1v4/Hjx2zbti29vb35448/0sjIiG3atGFYWBhjY2PVnFjlRKB9+/YMCQl5a0jGh0BOTg7d3d3Zr18/zpw5k7t37+aVK1d44cIFGhgY8I8//lA7X7Vt7dq1i4IgMCgoSBSl0CSq3/39999TEASuXLmSs2fPpqGhIQ8ePKhxG14nOzubQ4cO5ahRo9QmlarCF2vXrqW5uTl9fX2Zm5tLmUzGgwcPMjQ0lLNnz+Yvv/wi/rayDJW7e/cuV61axbCwMG7dulVs6+vWraOhoSHDw8P54sULkq+urWofT0hIoIuLC2fNmlVm9ryNpKQktmzZUpw4KW1RCkqcOHFCPPfkyZPs3r07bWxspInJ/1Oao6/qUNrZ2dHd3Z379+8XX3/69CknTZrEdu3aSY4GX41npqamTEhI4JUrVzh16lSamZnR1taWfn5+vHTpEh89ekTyVX+ZOXMmjYyMOGXKFI064ikpKbS3t+e2bdveuKCTkZHBvn37skOHDuKzJzc3ly9evGBxcbHGQ3Alyg7lWPDgwQP26tWLXbp04datW8XX5s6dS2NjYxoZGbFbt260tbUVReU0LWqoSl5eHkNDQ2lsbMwtW7ZQLpfz5cuX3Lp1K9u0aUNjY2NaW1vT1taWXbt2pbu7u0ZE7yQk/g5aZNnEe33//feIjY3Frl27cPjwYRw7dgy//vorvv76a7Rt2xYeHh6oX7++WnhA79698cknn2DDhg0VLuTx8uXLCAwMhL6+Pn744Qe1wuZlRUFBARITE0WhHZJieZGCggK4ubkhOzsbaWlpaNeuHSZNmoQvvviizO14G/z/xO4dO3Zg9uzZ2LVrF7Kzs3H48GFs27YNlSpVQtOmTeHr64smTZrgq6++QnFxMebNm4d169YhKCgIgYGB5WpzRSI2NhZRUVEoKirCnTt38PLlSwAQQ1vNzc1hZGSEr776CkZGRqhZsyYaNGggvv/XX39F06ZNy6XQsGr7A1716e3bt0NLSws//PAD3N3dNW7D66SlpcHDwwMBAQHo06eP2mvKsGGS+OGHH7B3716sXbsWzZs3F3+P6nOlLIWyLl68iBEjRqBGjRrIyMhAVlYWOnTogPDwcNStWxdDhgzBmTNn4ObmhqCgIDHsqKCgALdu3cKMGTNQWFiIrVu3olKlShovr5GZmQk3Nze0bt0aY8eORY0aNQC8Knbdu3dvrFu3Tk144tSpUwgPD4eWlhYOHToEXV3dCveM1jT5+fm4evUqLCwsShXYAf5qYxcuXMDMmTPx/PlzWFtbo0qVKkhJScGNGzewZs0ajYqhvS8kJycjODgYzZs3x5QpU5Cfnw+SGDNmDE6cOIHKlSvju+++g4uLC1xcXFClShUsW7YMDg4OGn3+HT16FCNHjsQff/yB2rVrv/E+Hz58GOPGjUN4eDhcXV3Vniea7r8S/xzVNBNlCaT79+/D2dkZX331Fby9veHm5gbg1bj94MED3LlzBzo6OrCxsYEgCBoRlSvNPqVAUE5ODiwtLVGrVi0EBgbCzc0NH330EXJycnDkyBE8ffoUxcXFaNWqFZo2bfpBCxtKvGP+qTeqXMn77bff2LZtW+7du5fkq52DmzdvskOHDqKU9+DBgxkTE6OWvFyRxVjOnTvHwYMHa2RVtLCwkF5eXvTw8OCVK1dI/rViphQ6cXd35/Pnz3n06FEaGRlx+PDhaqI85cmNGzdob2/PefPmkfxLXKJPnz6i8I+9vT1Xr14t3t9t27Z9sCFyCoWixGr106dPeffuXR47doxRUVE0MzOjpaUlbWxsKAgCBUGgiYkJXVxc6OHhwc2bN2vMPplMRj8/P27ZskVN6IdUD0mfOXMmBUHgggULxJDX8uTs2bM0MzMTRbFeb0/KvimTyWhiYiKWLSE190yJiYmhoaEhIyIimJKSwuTkZK5fv56GhoZqO43K0LhOnTpx8eLFXLduHYOCgti7d2/27du33MJuldy4cUNt50x5TBAEcYdc2W7j4uJ4+PBhJicnl4ttFZGBAweyZcuWPHHihNiW3rZDmZCQwPnz59PBwYGurq6cMmWKRsvQvC+ojp9z5sxhy5YtxTEiMTGRFhYWDAsL4/z589m9e3fq6enR1NSUy5Yt06hdyvt28uRJGhoa8urVq289/+nTp7SwsODKlSs1apdE2ZGbm8tDhw6J/y4uLhaft7m5uezRowednZ3p5OREe3t7tZDX8rJv8+bNYqqD6i63XC6nk5MTPTw8GBgYSCMjI0ZHR5cQsJKQqAiUmZqrQqGgh4cHPT09xWNHjhyhgYEBly1bxnHjxrFt27Y0NDSkjY2NmHtFVuycOuWAowkbN2zYIKrEKif0crmcjo6OdHd3V6sjePjwYRoZGXHEiBHlErOvRPV3//DDD2zVqpUYZnvw4EHq6elxw4YNXL16NT09PWlgYEBBEBgdHS2+70NzKHNycjhnzhz6+flx4sSJbwwPHTJkCPv168e0tDSxluTMmTPZt29fOjk58c6dOxqzccaMGRQEgR4eHrS2tmZYWNgba2cpQ14XLFigVjuxPIiPj6cgCCVqRqqidH4dHR05Y8YMjdqjdCSnTZumps6ZnZ3NkSNHsl27dmqLZZs2baK/vz9tbGxoY2PD4cOH86efftJI2O1/g/L7z5w5Q0EQeOnSJZKvnPLRo0ezZ8+eYojuh0pqairbt2/PLl268Pjx4290KF8fG5T//tCee0qKior44sULtbx+ZR99+vQp7ezsOH/+fF6/fp0WFhYcOnSoWD8vJSWFv/zyC3v37q2xkL3XtQUuXrxIPT09MZ/4TfdNLpezTZs2Yk1niYqNUh1YEIQS4f3KBXs3Nzfm5+fz4cOHYg6lMuSV/KstaGphUjkOR0VFMTs7WzyuuqGQlpbGoqIijh07lsbGxoyOji6hmVERN2MkPizKxJlUdrjff/+dpqamPH36NPfs2SOKeCi5desWlyxZwv79+79XOQZl3VFVB6vt27ezVatWHD58OGNiYujk5ER3d3empqaW+P5jx45REASOHz9eY2I7mZmZTE1NVZsQKycCDx48YNu2bbl27Vru2LFDdDCUZWCePn3K06dPc8yYMe/V/S1LZDIZnZyc2K5dO3br1o2Ghoa0trYWi7+Tf01mJk2aRAcHhxKfkZeXpzawaIK7d++yW7du/P7777lt2za2adOGVlZW9PT05LFjx0oIUUyePJkGBgacMWOGRouF3717Vy1/LzU1lZ06daKfn99b5diLiorYtm1b/vjjjxqz7dq1a2Kbl8vlJRaaZsyYQXt7e758+bLEhPT58+cl8ocrgrOhfE7fu3ePBQUFDAsLo5mZmRgt8aHz+PFjtmnThvb29jx+/Lh4vDTHMiMjQ22S9yFO8HJychgaGsoePXrQzc1NbfwnX40l48ePp42NDU1NTTl8+HA+efLkjWV9yhq5XM7u3bur2ZWfn09fX1+am5uLC3ilORFnz56lg4ODuPD7Id7f941r165x6NChtLa25k8//UTy1QKe6oK98j4mJyezZ8+e7Natm3iupiksLOTw4cPZpk0bLly4UDxe2oZCQUEBx4wZw+bNm3Pt2rUVTrxS4sOmTOtMPnr0SAwXMDQ05IIFC94qrvOhOhyvr2Rv2bKFrVq1opmZGZ2cnN4qsPPrr79qrIbQ1atXOWDAANrY2LBLly4ldnny8/Pp7+/P5s2b09DQkFFRUW+dPH1o91cmk7FDhw4cMGCAmKh/9+5d6unplZhUka/uu4mJidoOZHlNUJ4/f87g4GAGBgayqKiIjx8/5tq1a9m/f38KgkBbW1v+9NNPaiGwoaGhbN68uUZElRQKBbOzs9mlSxc6ODjw119/FV+LjIykIAhcu3atWt9QnXCePXuW3bt3559//lnmtpGvwpFGjBhBQRDUJhrKhZbCwkI6OTlx6NChGvl+TaEUeYqPj+cPP/xAU1PTUpWaPwSUtVQfP35MuVwutq/XHUplH1VtfzExMQwMDOS+ffs+WCdDJpOxa9eu7NKlC/39/eno6EhBELhixQqSfz3bEhMT2bp1a7q4uLxxfqCpa/jo0SMGBwdTT09PtIt8pa5tbW1NR0fHUsfXFy9eMCQkhB4eHh+8qFxFRy6X888//+Tx48eZnJzM+/fvMyAggK1bt+aGDRvYo0cPenh4qC2YKucqKSkp7NChA3v16sWsrCyN26n8bn9/f7Zt25YLFixg165d6enpWeqGQmFhIQMCAmhjY6Nx+yQk/hvK1JkkyZ9//pmCIPCHH34o8drb8k7+7eTl5XH79u38/vvvGRISwo0bN6opJW7fvp0tWrSgj4+P2q5AeV2rmJgYNm/enN7e3gwPD2fv3r1pYGDATZs2kfzLAU5ISKCVlRUDAwPLxa73BWVR4QEDBqjtoCmdjLlz55JUv5/Hjx+nIAiMi4srFxsVCoXa9x8+fJiCIKiFt96+fVss1K2vr09LS0uGhoby7NmzJKnRXUnylVPYuXNnurm58ciRI+LxwYMHs0WLFly3bl2JHcr79++zT58+GstvVnLp0iUOHz6c1tbWamHc5Ct16k6dOokDfEUO3SfVox309PTo4uJCY2NjsUTIh0ZOTg5nzpxJd3d3tm7dmk5OTjx58qTo7Dx58kTNoVR1JC9dukQvLy8KgqDR0PSKjOrzT5knWlRUxM6dO9PPz0/sD8XFxczNzeXEiRNpb29frikbSu7fv8+wsDAKgqCWl7lixQpaW1vTysqKBw8e5K1bt1hcXMzjx49zwoQJUtmF9wCZTEYvLy/a2tqKWg5btmzh5cuX6e/vT1NTU9ra2orq6KrjobJPp6amaixXPDc3lytWrOCECRM4bdo0cexVOonKhVzlgkZp87/CwsK3RulISLwLyrwKcMuWLWFsbIwnT54gJydHTb1VqXb2oameZWdnw8fHBzKZTCxsvnv3bnzxxRfo0aMHgoOD4ebmhuLiYixcuBBLly7F0KFDYWpq+kYVwbIkNjYWPj4+6Nu3LwICAlC7dm3k5eWhQ4cOSEhIAABRNbN+/fpo2bIlHj58iIcPH6JRo0Yas+t9IScnBy4uLmjWrBkiIiJQr149UZntyZMnePnyJfT19QGot31DQ0NoaWnh2rVrMDU11bidr7ehzp07o3Xr1li1ahVsbW1x8+ZNeHt7w87ODqGhoUhOTsbGjRvx888/48SJEzhw4ADq1KmjMfv4/8Xgp0+fjgkTJmDlypXQ0tJC586dMX36dISFhWHmzJk4fPgwOnXqhE8//RQJCQmIj49HcXExli1bBm1tbTVVvLKkefPmGDx4MIqKihAVFYWPPvoIvXv3RkBAAG7fvo1ly5ahRo0aYh+vyCjbQrNmzUASd+/exY4dOyAIwju2rPzJzs5Gnz59ULVqVRgYGMDZ2RkXL17E/fv3YWtrCwCoV68etm/fDnd3d8yePRs6Ojpo37494uPjMXv2bNy6dQt79uxBs2bN3vGvKX+ys7Ph7OyMRo0aYc6cOfj8889FpdPvvvsOH330ERQKBYBX40iVKlXQoUMH7Nq1C3Fxcfj222811meBVyrO2dnZ0NbWRvXq1fH111/D29sbJLFw4UKQxNChQ+Hn54c6depg//79GDt2LHR1daGrq4uaNWuiYcOG2Lhxo6i8LlHxyM7ORs+ePdGgQQOEhYVBLpfj8OHDmDp1KlasWIFJkyZhxowZuHz5Mnbv3g1PT09oaWmJbU9HRwcKhQINGzbUmH2enp4oKCiAlpYWHj16hE2bNmHGjBlwcXFBVFQUxowZgwsXLuCXX37BoEGD8Mknn5ToG5UqVUK9evU0YqOExP+MJjzUyMhINm/eXFx1rOir9JpEJpOxY8eOHDBggChykZ+fz7i4OPbo0YMmJiYMCwsTz1eGvPr7+5dL3pKqoIhyta6wsJByuZyenp6cM2eOeEzJ3r17KQiCqJL2Id9fhUIhrigePXqUpLoqr6enpxjqNXPmTO7cuZNXrlwRcyKNjIxEhVxNkJ+fz/3793PatGkcP3489+/frxYes2bNGrZr147bt2+npaUlAwMD+fTpU3FFVCaT8e7du0xJSSlz20qLVFC2pbt377JNmzbs06ePWq5aVFQUvby8aG5uTgsLC3p7e3PevHli+yzL0Op79+5x586dXLZsGQ8fPiwej4uLE8OmHBwc2LFjx/e2vldRURGXLl36zlSi3zV5eXns3bs3fXx83lgL8siRI6LS56NHj2hjY0N7e3uuWbOGnp6eNDMzK9f6cxWJnJwc2tnZ0c/Pj+np6VQoFGIffvbsGTt16sQ1a9aU+l5/f39aW1trNNrh9RxOZYQIqb5DuWTJEvF4dnY2z549y71793LLli28ffv2By9GVdFR7oz3799fbdfu3r177N27N3v27EmSvHLlCgMCAmhtbS1GXZGan8MoU2AGDhwozot///139ujRgx06dFDL1Q0MDKSNjQ0XL14szhM+5DmWxPtBmTqTyklhZmYm27Vr997lD5U1ygect7c3U1NTxeujFGBJTU2ln58fjY2NuWDBAvF927dvp42NDfv168f4+HiN2Xf9+nU1QRFluQ/yVehWy5Yt1SbyqvTr14+2trZS3D5fJfl369aNHh4ePHfuHMm/1NiaN2/O3r17097envr6+hQEgXp6euzUqRP79+9PKysrjYVOyWQyenh40NnZmZ06dWKvXr3Yrl07njlzRjynuLiYXbt2pSAIHDVqlFo+kKZDrEvLt1U6g48ePaKBgQFbtGjBXr16iY46+WqC+OTJEyYnJ6sNsmUp2nHx4kVaWVmxV69eNDc3p42NDcePHy++Hh8fz6FDh9LMzExtMeB9HPQrghDQu2LTpk3s3bu3WHqGVC+Ns2zZMgqCQE9PTzGX9NGjR7Szs6MgCLS0tPxgHcn8/HzOnz9fLS9SiVwuF8tGTZgwgf7+/gwPD+eePXvE6xUVFUU7Ozs1kZGy5E05nMuXLxfPSUpKEh1KSaX1/SQ7O5udOnXikCFDSg3/DAkJYZcuXUShwPj4eNGhLI9SIKrzQFXBH5LcsWMH9fT0xHkDqe5QLlmyRBLakXgvKNO4EmXo1CeffIJmzZqJYZ0fIrm5ufDw8ED16tWxZMkSNGzYULw+urq6YjjFlClT8M0332Dv3r2Ij48HALi5uSEgIABpaWkaCytMTEzExo0boaWlhTp16uCjjz6CtrY2tLW1kZCQgICAAMhkMuzYsQPdunVDYGAgNm7ciPPnzwMAvv76azRt2hTVqlXTiH3vE4aGhpg7dy6ysrKwePFinD17Fm5ubqhatSp+/vlnbN++HXv37sXx48cxbdo0DBo0CJUqVUJ6ejrWrVunkdCp3Nxc9OnTB1WqVEFYWBgOHDiAnTt3YsWKFWjdujUA4MGDB9DW1oarqytq166NTp06qRU91mRo9f3799GrVy8cP35cPFZYWIhKlSrh2rVr6Nq1K7y8vLBo0SI8f/4cK1euxNGjRwG8er7Uq1cPjRs3FsN/SIoFxP8pT58+xeTJk+Ho6Igff/wRv/32Gzp37ozY2FgkJycDAIyMjODv7w8rKyvs2LEDW7ZsAQAxzPZ9oqyu2/vI+fPnUadOHTEMnSQ++ugjAMDSpUuxdOlSdO/eHS9fvsSMGTNw48YNNGjQAFu2bIGBgQE2bNgAPT29d/kT3gnZ2dnw9/dHQUEBOnfujA0bNiA6OhrAq4LrLi4uSE1NRadOnfDs2TPcvXsX0dHRmDBhAlxcXNC1a1fI5XJs2LAB9evX14h9zs7O+Oyzz7Bs2TIsX74c+/btQ5MmTXDp0iUUFxcDAJo0aQJfX1+4u7tj0aJFWLFihfgZ71s//hAhibFjxyIlJQVubm5i+GdhYaF4Tnp6OmrXri3ecyMjIwwbNgzm5uYIDw/Hzp07NWZfTk4OXF1d8fnnn2PRokWoX78+tLS0RPuaNm2KqlWrIisrS7RbR0cHixcvRosWLbBs2TJs3rz5g51HS7xHaMpLffz4scZr9FRkTp8+TUEQOHDgQDG8lSw9pE9ZcuD1YshvU3X9JyhLkKxcuVIUFFGGfNy4cYOmpqb09PTkzJkzOWbMGDGUSxAECoJAa2trrly5Ury/7+NujCZISEigg4MDzczM2LVrV7EOYWnt/9mzZxoLnSoqKmJYWBj79+/P5OTkEjviJLl69Wra2Njw119/ZWZmJi0sLDhlypQ32lvW/P7773RycmLHjh3VBIDi4+NpamrKyZMniyE+MTExtLOzo5ub2xt3ysuSK1eusG3btoyNjRWPnTp1iiYmJjx9+jT/+OMPsW8mJCTQ39+frVu35ubNmzVum0TZoSzjExERQVK9f2zatImCIIj1kKOjo9myZUtGRkaKOwUf6o6uTCZj+/btOWDAAMrlcnGn521qmQqFgrGxsTx48CCDgoLYu3dvjamSq4Y8pqWlkfzrXg0bNoyjRo1iYWGhWkh8YmIiw8LCqK+vrxYlJFHxUY0MiomJUXtt0aJFNDY2FnfDVfvs5cuXOXr0aFEwShMcPHiQgiBwzJgxTExMJKk+XwoLC6ONjY1aRJBqDeKxY8e+MfxeQqIioTFnUsmHOuCSr2q4WVtb09fXV63EgupkvaCggMXFxXR3d2dQUBALCgo06oTHxMRQT0+P06dPJ0m1icCcOXPYvHlzhoWFlQituH37Nv/880/+8MMPHD9+vDgQS46kOjdv3qS9vT1dXFzUBrbXlVQ1SVZWFl1dXbly5cpS79OSJUsoCALbt28vqlauW7eOJiYmJQZjTXLy5En26dOHtra2vHLlClNTU0VHUumIK4mJiWGnTp3YoUMHjdsYFxdHAwMDtfIk27dvp7GxsRje2L59ex48eJDkq5I6w4YNU8ublaj45Obm0tnZmb6+vuIxZR+NiYnhyZMn1RwOU1NTzpo1q9ztrEhkZ2ezY8eO9PX1VStdcPXqVQYEBNDMzIzt2rUT8++LiopKjBFyuVwMOSxr/kkO5927dzlq1Ci2aNGCz58//yAXwd9XlAu57u7u4vgQFRVFQ0ND/vLLLyRLn6uohrSXJaoLU+vXr6cgCAwNDVVbQImKiqKRkZGolK46V/7QyqpJvP9o3Jn8EFF9aO3evZtWVlb09fV94w4lSbq5uXH48OEatSsuLo6GhoacP3++mrOonAiYmprS3d1dPF5UVFRiMUD1IfchLxS8DeXA5uHhwQsXLojHy2tycv78ebF24OvMmTOHhoaGPHXqFM+ePUsXFxd27dqVa9asoSAIjIyM1Nh9zcjIYEpKipqw1OnTp+nh4UEbGxvq6+tzxowZzMnJURPnUf595swZBgUFabzdpaamsmPHjjx9+jQVCgVfvnxJJycnBgUF8fjx4zx79iwHDhxIS0tLUZjo4sWLnDNnjtQnKjByuZznzp3j8ePHxb6xcOFCmpmZ8fTp0299rzKPXVk65UN0NLKzs9mjRw+ampqKk2LV9n716lUOHTqUrVq1UtulL68Fx/81h1M1XzYjI0PczZR4v1COu15eXgwJCaGRkZG44FeeyGQyDhkyhCdOnBCPrVu3TnQoX758yeXLl9PQ0PCd2CchoQkkZ1IDqArZkH85lIMHD1bboSRfTUru3LlDV1dXrlu3TjxW1ly+fJmmpqa0s7MTk9RLmwhYWVmp1dCTdh7/N1QdyvLc7SNfOZN6enri9yrv4cuXLxkUFMTdu3eLbWz//v0UBIF//PEHIyIiNFb3LS4ujh4eHmzVqhUNDQ3p5+cnhsGdOHGCXl5ebNGihVptSdW293qf0LTT9vz5c/HvnJwcnjt3jpmZmeKx5ORkWllZMSoqqsR7JYey4vF6/TlDQ0Nu2LCBv//+Ow0MDOjr66smpKO6Y5Gens6goCAOGTLkg1X1VKpRtmjRgu3bt2dISIgY6q26wKhcmHwXapne3t6cOXMmhw8fztatW4vfX1hYSEdHR7Zt25bDhg3j4MGD2bFjRzFtw8DAgO3ateO8efOkvvuek5CQIIrdLV68uNy/XxkC7uXlxYyMDLVxS+lQOjk50cTERAyhl5D4NyA5k2VATk4ODx06VELVTzXUQdWhVM3FysrKYmhoKDt06KCxQrnK8h/29vbs0KEDQ0JCRBVW1YmAqspZeU4E/q0kJCTQycmJXbt2LbGIoEkyMjJoZWXFyZMni8eUg9rr4aMRERHs0KGDWlsta2JiYmhqasrx48dz3bp1nDZtGs3Nzdm3b1/xnJMnT9LT05Pt27dXy6GsKDtAr4cdZWRk0MbGpsQOiETFQ1meycvLi8ePHxfz9gRB4Llz57h7924KgsCAgACeP39e7b13797lpEmTaGlpKcr3f2jIZDK2a9eOvr6+fPToEadNm0ZbW1tOmDBBdK7fNI6Ul1rmP83h7NOnzwd7f/9t3Lx5k126dCmxkFse6uR2dnb08fFR291W/d6NGzdSEAT269dPLReyooxzEhL/K5Iz+Q8pLCykq6srBUGgq6srQ0NDeePGDXFlW/UhoRryqnQuwsLCaGpqqhZqU5bExMRQEATOmzePMpmMERERf2siIAmKlA3Xrl1j7969NVKn8U3k5uZy2LBhtLKyUquP+PqAde/ePXp5eXHatGksKCjQWI6uoaEhZ8yYIYZW5+TkMDo6moIgqO2Cnzp1in369CnhUFYUVBdV4uPj6eDgwP37979DiyT+E2+rP9erVy/27NmThYWFXLlypSguFhoayjVr1nDChAn08vJi586dP9jyHwqFgqNHj+bAgQP56NEjkq/6gXIcCQkJeeM4Mnz4cOrr63PHjh0as6+i53BKvBvKOzJIuXM/YMAA0ZFUtrPi4mK19vXTTz9REAROnDhREteR+NcgOZNlwMiRI2lqasp169bRzs6OrVq1Yt++ffn777+rDXAkuXPnTtGh9PPzo4mJiVi/rKzJz8+nj49PCQXCv+NQSoIiZYemkvzfxp07d9i8eXM6OzuXGk6Tnp7OSZMmsX379kxKStKIDZcuXaKhoSFnz55dQtDp3r17NDc3L7Gzd+rUKfbt25cdOnSoUG0vPj6eK1as4J49e3jgwAG6u7uzd+/eUlhcBebv1J9zcHAQJ3onT57k5MmTaWtry86dO7NPnz5cuXJluS4EVUSePHkihngrF5xUx5E3OZSaVsus6DmcEu+W8ooMUjqSgwYNEmumKtuYXC5nhw4duH37drV2pwx5nTx5ssZUjSUkyhPJmfwHKAfO69ev09HRkdu3b2dOTg6XLVtGNzc3mpmZ0dnZmdHR0aIsNEnu3buXgiDQzMxM4yveGRkZojOjfJj9HYfy0qVLkqDIe87Zs2fFlfk5c+YwJSWFjx8/5tatWzlixAi2bt1aY+0vKSmJFhYWdHZ2FkNoi4uLxb9TUlJoaWkp5gmrtrPTp0+zS5cuHDZsmEZs+1+Ii4ujmZkZjY2N6ejoyKFDh4q/ReojFQ+FQsGAgIASC2Kq4dyDBw+mp6enWIJGiUwmU8uZlVBH2d7/zjiiqYW0ip7DKVEx0HRkUH5+Prt27cq2bduKGwfKZ4xcLmf37t3p4uKitquvZMOGDRQEgeHh4RpNM5GQKA+0SKka6n+LQqEQi6UDQGZmJoKCgqCrq4t169ahsLAQurq6mDdvHlatWgUAaNiwIVq0aIFhw4bh66+/xvnz51G3bl1888035Wp7cXExdHR0UFxcjMjISBw/fhzW1tYICQlBzZo1UVRUhEqVKpX6Hon3j5s3byI8PBwJCQnIz8+HtrY2GjVqBENDQwwbNkxj7e/JkycYP348njx5gp49eyIwMFDt9YEDByI9PR0HDhwQj5GElpYWACAuLg7GxsYVqt2lpaUhKysLVapUQaNGjaClpVVqf5GoGFy/fh0TJkxAtWrVMHbsWLRs2VJ8bfHixVi9ejW2b98OPT098Rmn2gYBlPi3xCtKG0esrKwQGhqKGjVqaLRfZGdno1u3bvjuu+8QHh6OtWvX4tixY7CyssLEiRNLjGPXrl3Djz/+iCtXriA4OBh9+vTRiF0SFZOCggJ89NFHGvns7Oxs9OvXDzKZDAMGDICnpycqV66MvLw8uLm5oWrVqli8eDHq1asnvkd1/rhx40ZYW1ujWbNmGrFPQqK8kJzJ/5Lc3FxERkaiW7dusLKyEo+fPn0afn5+mD9/PhwdHXHr1i14e3ujffv26NixI7Zt24arV6/i5cuXcHBwwLx5897ZRPlNDuXEiRNRo0YNyXn8lyGTyZCZmYnbt29DS0sLZmZmqFKlCj755BONfu+jR48QHh6O27dvw8XFBUFBQQAAPz8/3L17F6tWrcI333yj1t5en7xX5Lb4+qKSRMXj5s2bGDVqFGrUqIFx48ahZcuWWLJkCZYvX465c+fCwcFBuo//I6+PIydPnoSBgQGmT5+O6tWra+Q7SWLs2LHIzMzE9OnT0aBBAygUCsyYMeOtC6PXrl3DihUr8OuvvyI8PBy9e/fWiH0SHx6ZmZkIDg5GcnIyAgIC4OzsjD59+uCTTz7BokWLUL9+fbXzc3JycPjwYfTq1esdWSwhUfZIzuR/ydWrV+Hu7g5ra2sMHz4c5ubmAICMjAyMHj0aDRs2RM+ePREUFARLS0uEhYWhXr16yM3NRWJiIrZt24a+fftCEIR3+jtUJwIzZ87Er7/+Cj09PcyZMwdVq1Z9p7ZJ/HtITU1FREQE7ty5Aw8PD1y6dAm3b99GVFQUDA0N37V5Eh8ASoeybt26aNSoEQ4cOIBZs2bB0dHxXZv23qM6joSFhSE+Ph6rV69W24kpa9LS0lC5cmXUqlVLXHz6O5E2cXFx2LhxI4YPH46vv/5aY/ZJ/LspKirC48ePkZaWhk8++QQGBgbIyclBUFAQ7ty5A5Jo2LAhVq5ciVq1aqm9NycnB7NmzcLu3btx5MgRNGzY8N38CAmJMkZyJv8LlAPXn3/+CT8/PzRv3hwjRowQHcqVK1di/vz5qFSpErp06YJx48aVWJWqSKhOBCZNmoTs7GwsXrxYWqWXKFOUDmVsbCxIYuvWrfj222+lEEKJcuPmzZsYMWIEUlJSMHToUHGXXOKfo9zZLS4uRmZmJurWrVuu3/+mkNvSQl41GfIo8e8nJycHEydOxJ07d5CUlARtbW20aNECnp6e6NSpE4KCgnDy5EkEBgZi2LBh0NHREfuH0pHct28fNm/eDAMDg3f9cyQkygzJmfwvUT4Y/vzzTwwZMgQtWrRAcHAwWrZsCYVCgf79+yMjIwOrV69Go0aN3rW5/xHl71EoFAAg/i05lBJlyaNHjxAREYEbN26gT58+GDp0KICKHcYq8e/i1q1bGDFiBGrVqqWWQyktavxz3vWY8S5zOCU+DLKzs9GrVy/Url0bDg4O+OKLL/Dw4UOsX78eaWlp8PPzw4gRI+Dv749bt25h4MCB6N+/PypVqgSZTIY5c+Zg79692LJli+RISvzrkDyG/wKl311cXAxra2usWrUKly5dwuLFixEbGwttbW00b94cWVlZePLkiXhuRUbVeZQcSQlN0bBhQ0yePBn6+vrYsWMHli5dCgDiyq2EhKYRBAELFy5EVlYW5s6di9jYWACQHMky4F2PGUpHUkdHBxMnTkSnTp0QGxuLyZMnQyaTSY6kxD8iOzsbPXr0QL169TB79mx4e3ujU6dO8PHxwerVq+Hg4IAVK1Zg0aJFWLp0Kb799lts2LABGzduRFZWFhYsWCA5khL/aqSdybeQm5uL48ePo379+jAyMoJCoUC1atXUzjl9+jQCAwNhamqKKVOmoG7dunB2doatrS2mT5/+jiyXkKiYpKamYtq0abh79y46d+6M8ePHv2uTJD4wbt68iXHjxqG4uBjTpk1DixYt3rVJEmXEu8jhlPh3k5OTg549e+Lrr79GRESE2JYUCgW0tLSgpaWFhw8fYv78+Th06BDmzp0LOzs7BAQE4PHjx6hevToePHiA6OhoSSdA4l+L5Ey+AZLw9fXFmTNnAABffvklqlevDgsLCzRp0gQmJiZo2LAhPv30UyQkJMDNzQ2WlpYICAjAhQsXsHTpUqxZswbW1tbv+JdISFQsHj16hDFjxuCzzz7DokWLpJ0hiXLn+vXrmDp1KhYsWPBepCNI/H3edQ6nxL8HkggMDMRvv/2GqKgodO7cGYB6WLcyTP7evXvw9/dH3bp1sXXrVmRmZmLw4MG4f/8+tm3b9s5FFyUkNInkTL6FhIQEjBkzBunp6WjUqBGaNm2K33//HTk5OdDR0UGVKlXwzTffoFu3brhy5Qr279+Pnj17omrVqjh8+DC2bduGL7744l3/DAmJCsezZ89Qu3ZtaGtrSzlrEu8ESYzl34uUriFRVrypXq3quKX8e8eOHQgLC8OWLVvQvHlzyGQyyGQySbVV4l+P5Ez+B27duoVx48bh008/xbhx4yAIApKTk3Hu3DkkJibi+vXruH37Nj7++GM8e/YMAODu7o7AwMAKreQqIVERkCZ9EhISEhIVGWV5oZo1a2LMmDGwsLAA8JcTqRzH4uLi4OXlhR9//BG2trbv2GoJifJDcib/BgkJCWLh67Fjx8LS0lJ8raCgADKZDI8ePcLVq1fx4MEDeHp64ptvvnmHFktISEhISEhISJQFb3IoVRdElTmTq1atkuaAEh8UkjP5N1F9kIwePVp0KF+XHJd2WiQkJCQkJCQk/l28yaEEgMzMTISHhyMzMxOLFy9GjRo13qGlEhLli+T1/E309PSwYMECZGVlYf78+YiJiQEAVKpUCar+uORISkhISEhISEj8u1CdB86bN08sL5SdnY158+bh999/x6RJkyRHUuKDQ9qZ/C9RXZlSTcaWkJCQkJCQkJD4d6M6Dxw+fDhOnz6Nbdu2SXUkJT5YJGfyf0CqUyYhISEhISEh8WGinAcmJSVBW1tbqiMp8UEjxWT+D+jp6WHmzJmoWrUqPv/883dtjoSEhISEhISERDmhp6eHWbNmoVmzZtixY4fkSEp80Eg7k/8AqU6ZhISEhISEhMSHiTQPlJCQnEkJCQkJCQkJCQkJCQmJ/wEpzFVCQkJCQkJCQkJCQkLiv0ZyJiUkJCQkJCQkJCQkJCT+ayRnUkJCQkJCQkJCQkJCQuK/RnImJSQkJCQkJCQkJCQkJP5rJGdSQkJCQkJCQkJCQkJC4r9GciYlJCQkJCQkJCQkJCQk/mskZ1JCQkJCQkJCQkJCQkLiv+b/AHshfjuGcGxGAAAAAElFTkSuQmCC\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -569,8 +569,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:28.043350Z",
-     "start_time": "2023-06-12T18:28:27.891699Z"
+     "end_time": "2023-06-26T19:06:25.457288Z",
+     "start_time": "2023-06-26T19:06:25.304614Z"
     }
    }
   },
@@ -588,8 +588,8 @@
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:29.559591Z",
-     "start_time": "2023-06-12T18:28:29.306677Z"
+     "end_time": "2023-06-26T19:06:25.817693Z",
+     "start_time": "2023-06-26T19:06:25.456944Z"
     }
    },
    "outputs": [
@@ -614,15 +614,15 @@
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:29.897028Z",
-     "start_time": "2023-06-12T18:28:29.886081Z"
+     "end_time": "2023-06-26T19:06:25.817958Z",
+     "start_time": "2023-06-26T19:06:25.817592Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "execution_count": 22,
      "metadata": {},
@@ -698,8 +698,8 @@
    "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:31.931220Z",
-     "start_time": "2023-06-12T18:28:30.205247Z"
+     "end_time": "2023-06-26T19:06:27.529252Z",
+     "start_time": "2023-06-26T19:06:25.817825Z"
     }
    },
    "outputs": [],
@@ -734,15 +734,15 @@
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:31.932898Z",
-     "start_time": "2023-06-12T18:28:31.931361Z"
+     "end_time": "2023-06-26T19:06:27.538169Z",
+     "start_time": "2023-06-26T19:06:27.535842Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-5256, RXN0-7399, RXN-16420}  \n1                          {ABC-28-RXN, RIBOKIN-RXN}  \n2  {ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...  \n5  {RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...  \n6                  {RXN-12093, RXN0-4022, RXN0-5507}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-5256, RXN0-7399, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN-12093, RXN0-4022, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...  \n3                  {RXN0-3501, RXN-15119, RXN0-7124}  \n4  {TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...  \n5  {RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...  \n6                  {RXN0-4022, RXN-12093, RXN0-5507}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-3501, RXN-15119, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN-12093, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "execution_count": 24,
      "metadata": {},
@@ -763,12 +763,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 25,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:31:07.769416Z",
-     "start_time": "2023-06-12T18:31:03.901668Z"
+     "end_time": "2023-06-26T19:06:31.436967Z",
+     "start_time": "2023-06-26T19:06:27.546303Z"
     }
    },
    "outputs": [
@@ -853,21 +853,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 26,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:31:09.899813Z",
-     "start_time": "2023-06-12T18:31:09.888763Z"
+     "end_time": "2023-06-26T19:06:31.444941Z",
+     "start_time": "2023-06-26T19:06:31.442657Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  1.352359e+06   6.131092  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  8.324587e+05   5.920363  \n0  5.199004e+05   5.715920  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.300256e+06   6.114029  \n0  1.756030e+05   5.244532  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 29,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -880,12 +880,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 27,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
-      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -899,8 +899,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:31:13.114326Z",
-     "start_time": "2023-06-12T18:31:12.443767Z"
+     "end_time": "2023-06-26T19:06:32.082647Z",
+     "start_time": "2023-06-26T19:06:31.451785Z"
     }
    }
   }

From d3918d0838e749d02e94209efe1cc8c5ec9c8b2b Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:51:54 -0700
Subject: [PATCH 10/58] New folder for Tim

---
 .../test_environments_new.ipynb               | 929 ++++++++++++++++++
 1 file changed, 929 insertions(+)
 create mode 100644 notebooks/new_environments/test_environments_new.ipynb

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
new file mode 100644
index 000000000..0a8579d0f
--- /dev/null
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -0,0 +1,929 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:22.109616Z",
+     "start_time": "2023-06-26T19:06:21.054198Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
+    "\n",
+    "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a143cbbb-3570-4548-bc24-f499c070a880",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Import simulation output\n",
+    "\n",
+    "Before running this, run a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment. Use the default .json config."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-06-09'\n",
+    "experiment = 'fba-redux'\n",
+    "entry = f'{experiment}_{time}_{date}'\n",
+    "folder = f'out/fbagd/{entry}/'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:22.114632Z",
+     "start_time": "2023-06-26T19:06:22.110641Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "# output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:22.674606Z",
+     "start_time": "2023-06-26T19:06:22.112998Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [],
+   "source": [
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.487385Z",
+     "start_time": "2023-06-26T19:06:22.675431Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [],
+   "source": [
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.489604Z",
+     "start_time": "2023-06-26T19:06:23.487666Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Pandas automatically understands dicts of dicts as matrices."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'ACET[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'AMMONIUM[c]': [816253,\n  824154,\n  859469,\n  865921,\n  881095,\n  880175,\n  899327,\n  826879,\n  877100,\n  821741,\n  883986,\n  866915,\n  879898,\n  920315,\n  906384,\n  941731,\n  923156,\n  950892,\n  935505,\n  942198,\n  960592,\n  894699,\n  933352,\n  907005,\n  937700],\n 'BETAINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'BUTANAL[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CA+2[p]': [23,\n  162,\n  288,\n  396,\n  479,\n  545,\n  598,\n  641,\n  661,\n  687,\n  696,\n  715,\n  727,\n  737,\n  755,\n  766,\n  781,\n  788,\n  799,\n  806,\n  813,\n  821,\n  814,\n  816,\n  813],\n 'CARBON-DIOXIDE[p]': [-1978935,\n  -2187468,\n  -2252374,\n  -2277523,\n  -2299096,\n  -2333612,\n  -2359294,\n  -2360849,\n  -2380093,\n  -2377430,\n  -2398409,\n  -2401014,\n  -2406075,\n  -2433275,\n  -2431991,\n  -2444870,\n  -2449074,\n  -2467528,\n  -2466263,\n  -2472228,\n  -2491605,\n  -2470017,\n  -2473566,\n  -2476245,\n  -2477271],\n 'CARBON-MONOXIDE[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CH33ADO[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CL-[p]': [1,\n  156,\n  277,\n  380,\n  461,\n  526,\n  575,\n  618,\n  637,\n  662,\n  670,\n  688,\n  700,\n  710,\n  727,\n  736,\n  752,\n  759,\n  770,\n  776,\n  782,\n  790,\n  783,\n  786,\n  782],\n 'CO+2[p]': [2,\n  6,\n  11,\n  17,\n  20,\n  23,\n  25,\n  27,\n  28,\n  30,\n  29,\n  30,\n  30,\n  30,\n  32,\n  32,\n  33,\n  33,\n  35,\n  34,\n  34,\n  34,\n  34,\n  34,\n  34],\n 'CPD-10774[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-108[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CPD-1772[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-239[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-534[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-560[p]': [-1,\n  -186,\n  -331,\n  -454,\n  -550,\n  -627,\n  -687,\n  -737,\n  -760,\n  -790,\n  -799,\n  -822,\n  -835,\n  -847,\n  -867,\n  -879,\n  -897,\n  -906,\n  -919,\n  -926,\n  -933,\n  -943,\n  -935,\n  -937,\n  -934],\n 'CPD-564[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD0-2167[c]': [-2,\n  -13,\n  -26,\n  -35,\n  -41,\n  -46,\n  -52,\n  -54,\n  -56,\n  -58,\n  -59,\n  -59,\n  -61,\n  -61,\n  -65,\n  -66,\n  -66,\n  -66,\n  -68,\n  -68,\n  -69,\n  -70,\n  -69,\n  -70,\n  -68],\n 'D-ALANINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'D-LACTATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ETOH[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'FE+2[p]': [2,\n  221,\n  389,\n  536,\n  649,\n  739,\n  812,\n  870,\n  896,\n  931,\n  943,\n  969,\n  985,\n  999,\n  1023,\n  1038,\n  1057,\n  1069,\n  1085,\n  1092,\n  1101,\n  1112,\n  1104,\n  1106,\n  1102],\n 'FORMATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLC[p]': [767215,\n  841386,\n  906067,\n  928049,\n  955257,\n  974986,\n  997159,\n  976754,\n  1006624,\n  983157,\n  1019049,\n  1016114,\n  1022593,\n  1049309,\n  1046045,\n  1066408,\n  1061093,\n  1079737,\n  1074696,\n  1081093,\n  1094849,\n  1060890,\n  1078840,\n  1067741,\n  1080357],\n 'GLYCEROL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLALDEHYDE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLLATE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYDROGEN-MOLECULE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYPOXANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'INDOLE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'K+[p]': [-2,\n  5866,\n  10378,\n  14276,\n  17273,\n  19705,\n  21590,\n  23176,\n  23881,\n  24802,\n  25119,\n  25819,\n  26232,\n  26639,\n  27248,\n  27618,\n  28171,\n  28463,\n  28890,\n  29100,\n  29319,\n  29621,\n  29376,\n  29462,\n  29340],\n 'L-SELENOCYSTEINE[c]': [0,\n  2,\n  4,\n  6,\n  6,\n  8,\n  8,\n  8,\n  9,\n  10,\n  9,\n  10,\n  10,\n  10,\n  10,\n  11,\n  10,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11],\n 'METOH[p]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'MG+2[p]': [1,\n  260,\n  462,\n  634,\n  768,\n  876,\n  959,\n  1030,\n  1062,\n  1102,\n  1116,\n  1148,\n  1166,\n  1184,\n  1211,\n  1227,\n  1252,\n  1265,\n  1284,\n  1294,\n  1303,\n  1316,\n  1306,\n  1309,\n  1304],\n 'MI-PENTAKISPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'MN+2[p]': [1,\n  27,\n  47,\n  65,\n  79,\n  91,\n  99,\n  106,\n  109,\n  114,\n  115,\n  119,\n  120,\n  121,\n  125,\n  127,\n  129,\n  131,\n  133,\n  133,\n  134,\n  135,\n  134,\n  134,\n  135],\n 'NA+[p]': [1,\n  6,\n  10,\n  15,\n  18,\n  20,\n  23,\n  24,\n  24,\n  26,\n  26,\n  27,\n  27,\n  27,\n  28,\n  29,\n  29,\n  29,\n  30,\n  30,\n  31,\n  30,\n  31,\n  30,\n  30],\n 'NI+2[p]': [1,\n  16,\n  27,\n  39,\n  46,\n  53,\n  58,\n  62,\n  64,\n  67,\n  68,\n  69,\n  71,\n  71,\n  73,\n  74,\n  75,\n  77,\n  78,\n  78,\n  79,\n  80,\n  80,\n  79,\n  79],\n 'OXYGEN-MOLECULE[p]': [2034608,\n  2149055,\n  2169775,\n  2168956,\n  2164999,\n  2172935,\n  2188886,\n  2133919,\n  2168263,\n  2146433,\n  2180739,\n  2166280,\n  2178972,\n  2212392,\n  2200685,\n  2224984,\n  2219673,\n  2239282,\n  2227522,\n  2231438,\n  2251859,\n  2209197,\n  2224650,\n  2216657,\n  2233830],\n 'PROTON[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'Pi[p]': [70436,\n  67160,\n  81767,\n  90661,\n  98134,\n  101496,\n  108099,\n  92842,\n  105196,\n  99882,\n  110315,\n  106786,\n  112263,\n  118994,\n  117492,\n  126029,\n  123905,\n  127916,\n  124975,\n  125877,\n  128400,\n  118919,\n  123993,\n  119370,\n  126080],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'SUC[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'SULFATE[p]': [13270,\n  16725,\n  16326,\n  17173,\n  17738,\n  18317,\n  18681,\n  18770,\n  19097,\n  18900,\n  19534,\n  19392,\n  19624,\n  20053,\n  19680,\n  20245,\n  19773,\n  20662,\n  20209,\n  20502,\n  20850,\n  20064,\n  20524,\n  20620,\n  20212],\n 'THYMINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'URACIL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UREA[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'WATER[p]': [-3973467,\n  -1583451,\n  231207,\n  1898797,\n  3156435,\n  4193380,\n  4946897,\n  5844085,\n  5995275,\n  6542395,\n  6496191,\n  6851775,\n  6990345,\n  7037080,\n  7342363,\n  7392897,\n  7680402,\n  7720591,\n  7953426,\n  8021574,\n  8052271,\n  8377203,\n  8167460,\n  8271067,\n  8134592],\n 'XANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ZN+2[p]': [1,\n  16,\n  29,\n  41,\n  49,\n  54,\n  60,\n  64,\n  66,\n  69,\n  70,\n  71,\n  72,\n  73,\n  76,\n  77,\n  78,\n  79,\n  80,\n  81,\n  82,\n  82,\n  82,\n  82,\n  82]}"
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fba[\"estimated_exchange_dmdt\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.501761Z",
+     "start_time": "2023-06-26T19:06:23.496061Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
+    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
+    "sim_exchanges.head(10)\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(15, 5))\n",
+    "plt.plot(sim_exchanges.head(20), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_exchanges.index[:20]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "plt.yscale('log')\n",
+    "plt.ylabel('Flux counts')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.887908Z",
+     "start_time": "2023-06-26T19:06:23.506008Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[4, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(15, 5))\n",
+    "plt.plot(sim_fluxes.head(20), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_fluxes.index[:20]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "\n",
+    "\n",
+    "plt.ylabel('Flux counts')\n",
+    "# log scale\n",
+    "plt.yscale('log')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.137601Z",
+     "start_time": "2023-06-26T19:06:23.888894Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                                            4\nATPSYN-RXN (reverse)                                7963937.0\nmaintenance_reaction                                7600314.0\nNADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//N...  3656705.0\nTRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//...  2277523.0\nTRANS-RXN0-474                                      2168940.0\nRXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQ...  2168919.0\nTRANS-RXN-145                                       1898797.0\nGAPOXNPHOSPHN-RXN                                   1636060.0\nPHOSGLYPHOS-RXN (reverse)                           1636058.0\n3PGAREARR-RXN (reverse)                             1486502.0\n2PGADEHYDRAT-RXN                                    1486488.0\nPYRUVDEH-RXN                                        1150328.0\nPGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.               914733.0\nRXN0-7166                                            884407.0\nTRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/...   872057.0\nTRIOSEPISOMERIZATION-RXN (reverse)                   834966.0\nCITSYN-RXN                                           744564.0\nPHOSICITDEHASE-RXN                                   744358.0\nDEPHOSICITDEHASE-RXN                                 744358.0\nRXN-14047                                            744291.0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ATPSYN-RXN (reverse)</th>\n      <td>7963937.0</td>\n    </tr>\n    <tr>\n      <th>maintenance_reaction</th>\n      <td>7600314.0</td>\n    </tr>\n    <tr>\n      <th>NADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//NAD/CPD-9956/PROTON.46.</th>\n      <td>3656705.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//CARBON-DIOXIDE.47. (reverse)</th>\n      <td>2277523.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-474</th>\n      <td>2168940.0</td>\n    </tr>\n    <tr>\n      <th>RXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQUINONE-8/PROTON/WATER.59.</th>\n      <td>2168919.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-145</th>\n      <td>1898797.0</td>\n    </tr>\n    <tr>\n      <th>GAPOXNPHOSPHN-RXN</th>\n      <td>1636060.0</td>\n    </tr>\n    <tr>\n      <th>PHOSGLYPHOS-RXN (reverse)</th>\n      <td>1636058.0</td>\n    </tr>\n    <tr>\n      <th>3PGAREARR-RXN (reverse)</th>\n      <td>1486502.0</td>\n    </tr>\n    <tr>\n      <th>2PGADEHYDRAT-RXN</th>\n      <td>1486488.0</td>\n    </tr>\n    <tr>\n      <th>PYRUVDEH-RXN</th>\n      <td>1150328.0</td>\n    </tr>\n    <tr>\n      <th>PGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.</th>\n      <td>914733.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-7166</th>\n      <td>884407.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/PTSH-MONOMER.46.</th>\n      <td>872057.0</td>\n    </tr>\n    <tr>\n      <th>TRIOSEPISOMERIZATION-RXN (reverse)</th>\n      <td>834966.0</td>\n    </tr>\n    <tr>\n      <th>CITSYN-RXN</th>\n      <td>744564.0</td>\n    </tr>\n    <tr>\n      <th>PHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>DEPHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>RXN-14047</th>\n      <td>744291.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sim_fluxes.head(20)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.137784Z",
+     "start_time": "2023-06-26T19:06:24.115142Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
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+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fba[\"reaction_catalyst_counts\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.261823Z",
+     "start_time": "2023-06-26T19:06:24.134582Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
+    "sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
+    "sim_catalysts"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.333696Z",
+     "start_time": "2023-06-26T19:06:24.306108Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Test changing nutrient composition"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "uptake = metabolism.allowed_exchange_uptake\n",
+    "uptake = set(uptake)\n",
+    "\n",
+    "# addition = set([\"CPD0-1074[c]\"])\n",
+    "addition = set([\n",
+    "        # \"FRU[p]\",\n",
+    "        # \"NITRATE[p]\"\n",
+    "        # 'THIAMINE[p]',\n",
+    "        # 'HYDROGEN-MOLECULE[p]',\n",
+    "        # 'FUM[p]'\n",
+    "])\n",
+    "removals = set([\n",
+    "                  # \"GLC[p]\",\n",
+    "               #      # 'AMMONIUM[c]',\n",
+    "               #      # 'WATER[p]'\n",
+    "               #       # 'Pi[p]',\n",
+    "               #       # 'SULFATE[p]'\n",
+    "               # 'OXYGEN-MOLECULE[p]'\n",
+    "])\n",
+    "\n",
+    "\n",
+    "uptake = uptake | addition\n",
+    "uptake = uptake - removals\n",
+    "uptake"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.337983Z",
+     "start_time": "2023-06-26T19:06:24.335409Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Use NetworkFlowModel class to run model"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "[[],\n 7130668,\n 7682916,\n 7655656,\n 7600314,\n 7529897,\n 7560265,\n 7566014,\n 7555646,\n 7555453,\n 7576138,\n 7568193,\n 7560014,\n 7555559,\n 7598335,\n 7584044,\n 7582321,\n 7600258,\n 7619933,\n 7613406,\n 7618277,\n 7667139,\n 7642944,\n 7617385,\n 7652652,\n 7642911]"
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fba[\"maintenance_target\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.341392Z",
+     "start_time": "2023-06-26T19:06:24.338980Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "7642911"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
+    "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]\n",
+    "maintenance"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.352427Z",
+     "start_time": "2023-06-26T19:06:24.344104Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "outputs": [],
+   "source": [
+    "model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.775269Z",
+     "start_time": "2023-06-26T19:06:24.354150Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "outputs": [],
+   "source": [
+    "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.777068Z",
+     "start_time": "2023-06-26T19:06:24.775416Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "solution: FlowResult = model.solve(\n",
+    "            homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "            maintenance_target=maintenance,\n",
+    "            kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "            binary_kinetic_idx=[],\n",
+    "            objective_weights=objective_weights,\n",
+    "            upper_flux_bound=100000000)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.033011Z",
+     "start_time": "2023-06-26T19:06:24.775553Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.Series(solution.exchanges).abs().sort_values(ascending=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.037247Z",
+     "start_time": "2023-06-26T19:06:25.033497Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2160x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cur_exchanges = pd.Series(solution.exchanges, index=metabolism.metabolite_names).abs().sort_values(ascending=False)\n",
+    "nonzero = len(cur_exchanges[cur_exchanges > 0])\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(30, 5))\n",
+    "plt.plot(cur_exchanges.head(nonzero), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(nonzero)], [i[:20] for i in cur_exchanges.index[:nonzero]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "plt.yscale('log')\n",
+    "plt.ylabel('Flux counts')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.303692Z",
+     "start_time": "2023-06-26T19:06:25.039178Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cur_fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names).abs().sort_values(ascending=False)\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(15, 5))\n",
+    "plt.plot(cur_fluxes.head(20), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(20)], [i[:20] for i in cur_fluxes.index[:20]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "plt.yscale('log')\n",
+    "plt.ylabel('Flux counts')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.457288Z",
+     "start_time": "2023-06-26T19:06:25.304614Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28db669f-93f3-4f5c-aea0-e23b6a811660",
+   "metadata": {},
+   "source": [
+    "## Connect to EcoCyc to go from Genes -> Reactions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.817693Z",
+     "start_time": "2023-06-26T19:06:25.456944Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.817958Z",
+     "start_time": "2023-06-26T19:06:25.817592Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_sets = {0: {\"Environment\": \"Hydrogen + fumarate, -O2, -Glc\",\n",
+    "                      \"Genes\": {\"EG10468\", \"EG10469\", \"EG10470\", \"EG11799\", \"EG11800\", \"EG11801\", \"G7554\"},\n",
+    "                      \"Add\": {\"FUM[p]\", 'HYDROGEN-MOLECULE[p]'},\n",
+    "                      \"Remove\": {\"GLC[p]\", \"OXYGEN-MOLECULE[p]\"},\n",
+    "                      },\n",
+    "                  \n",
+    "                  1: {\"Environment\": \"Ribose C-source\",\n",
+    "                      \"Genes\": {\"EG10814\", \"EG10815\", \"EG10816\", \"EG10818\"},\n",
+    "                      \"Add\": {\"D-Ribopyranose[p]\"},\n",
+    "                      \"Remove\": {\"GLC[p]\"},\n",
+    "                      },\n",
+    "                  \n",
+    "                  2: {\"Environment\": \"Thiamine salvaging\",\n",
+    "                      \"Genes\": {\"EG11574\", \"G6566\", \"M007\", \"EG11573\", \"EG11572\"},\n",
+    "                      \"Add\": {\"THIAMINE[p]\"},\n",
+    "                      \"Remove\": set(),\n",
+    "                      },\n",
+    "                  \n",
+    "                  3: {\"Environment\": \"Nitrate as reduction target\",\n",
+    "                      \"Genes\": {\"EG10638\", \"EG10639\", \"EG10640\", \"EG10644\", \"EG10647\", \"EG10648\"},\n",
+    "                      \"Add\": {\"NITRATE[p]\"},\n",
+    "                      \"Remove\": {\"OXYGEN-MOLECULE[p]\"},\n",
+    "                      },\n",
+    "                  \n",
+    "                  4: {\"Environment\": \"3-Phenylpropionate as carbon and energy source\",\n",
+    "                      \"Genes\": {\"M010\", \"M011\", \"M012\", \"G6206\"},\n",
+    "                      \"Add\": {\"3-PHENYLPROPIONATE[p]\"},\n",
+    "                      \"Remove\": {\"GLC[p]\"},\n",
+    "                      },\n",
+    "\n",
+    "                  5: {\"Environment\": \"Molybdenum cofactor synthesis\",\n",
+    "                      \"Genes\": {\"EG11595\", \"EG11666\", \"EG11597\", \"EG11598\", \"EG11829\", \"G7496\", \"EG10002\", \"EG10152\",\n",
+    "                                \"EG10153\", \"EG10154\"},\n",
+    "                      \"Add\": {\"CPD-3[p]\"},\n",
+    "                      \"Remove\": set(),\n",
+    "                      \"Demand\": {\"CPD-8123[c]\"},\n",
+    "                      },\n",
+    "\n",
+    "                  6: {\"Environment\": \"pre-Quenosine synthesis\",\n",
+    "                      \"Genes\": {\"G6245\", \"G7431\", \"G7452\"},\n",
+    "                      \"Add\": set(),\n",
+    "                      \"Remove\": set(),\n",
+    "                      \"Demand\": {\"7-AMINOMETHYL-7-DEAZAGUANINE[c]\"},\n",
+    "                      },\n",
+    "\n",
+    "\n",
+    "                  \n",
+    "                  # 5: {\"Genes\": set([\"EG10286\", \"EG10287\", \"EG10288\", \"EG10289\", \n",
+    "                  #                   \"EG10290\", \"EG10293\", \"EG10294\", \"EG10295\", \n",
+    "                  #                   \"EG10296\", \"EG10298\", \"EG10302\", \"EG10303\", \n",
+    "                  #                   \"EG10304\", \"EG10305\", \"EG10306\", \"G6414\"]), \n",
+    "                  #     \"Add\": set(),\n",
+    "                  #     \"Remove\": set(),\n",
+    "                  #     \"Environment\": \"Proper metal (iron) uptake\"}\n",
+    "                 }\n",
+    "\n",
+    "condition_df = pd.DataFrame(condition_sets).T\n",
+    "condition_df[\"Reactions\"] = [[np.nan]] * len(condition_df)\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].fillna(False)\n",
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:27.529252Z",
+     "start_time": "2023-06-26T19:06:25.817825Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "for i in range(len(condition_df.index)):\n",
+    "    \n",
+    "    genes = condition_df.loc[i, \"Genes\"]\n",
+    "    rxn_set = set()\n",
+    "\n",
+    "    for gene in genes:\n",
+    "        function = \"reactions-of-gene\"\n",
+    "        name = gene\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "        \n",
+    "        for rxn in o:\n",
+    "            if type(rxn) is not str: # no rxns\n",
+    "                rxn_set.add(rxn['@frameid'])\n",
+    "            else:\n",
+    "                print(gene, rxn)\n",
+    "            \n",
+    "    condition_df.at[i, \"Reactions\"] = rxn_set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:27.538169Z",
+     "start_time": "2023-06-26T19:06:27.535842Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...  \n3                  {RXN0-3501, RXN-15119, RXN0-7124}  \n4  {TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...  \n5  {RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...  \n6                  {RXN0-4022, RXN-12093, RXN0-5507}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-3501, RXN-15119, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN-12093, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bed4cb3d-8c43-44a6-9677-2769b81ade20",
+   "metadata": {},
+   "source": [
+    "## Quick and dirty loop (after init)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:31.436967Z",
+     "start_time": "2023-06-26T19:06:27.546303Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "finished Hydrogen + fumarate, -O2, -Glc\n",
+      "finished Ribose C-source\n",
+      "finished Thiamine salvaging\n",
+      "finished Nitrate as reduction target\n",
+      "finished 3-Phenylpropionate as carbon and energy source\n",
+      "finished Molybdenum cofactor synthesis\n",
+      "finished pre-Quenosine synthesis\n"
+     ]
+    }
+   ],
+   "source": [
+    "results_df = pd.DataFrame(columns=[\"Environment\", \"Reaction\", \"Flux\"])\n",
+    "\n",
+    "for i in range(len(condition_df)):\n",
+    "    condition_idx = i\n",
+    "\n",
+    "    uptake = metabolism.allowed_exchange_uptake\n",
+    "\n",
+    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
+    "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
+    "    if new_demand:\n",
+    "        for met in new_demand:\n",
+    "            homeostatic[met] = 100\n",
+    "\n",
+    "    uptake = set(uptake)\n",
+    "\n",
+    "    addition = condition_df.at[condition_idx, \"Add\"]\n",
+    "    removals = condition_df.at[condition_idx, \"Remove\"]\n",
+    "\n",
+    "    uptake = uptake | addition\n",
+    "    uptake = uptake - removals\n",
+    "\n",
+    "    model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)\n",
+    "\n",
+    "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
+    "\n",
+    "\n",
+    "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "    solution: FlowResult = model.solve(\n",
+    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "                maintenance_target=maintenance,\n",
+    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "                binary_kinetic_idx=[],\n",
+    "                objective_weights=objective_weights,\n",
+    "                upper_flux_bound=100000000)\n",
+    "\n",
+    "    # Check flux\n",
+    "    fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names)\n",
+    "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
+    "    fluxes.columns = [\"Flux\"]\n",
+    "\n",
+    "    relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
+    "    relevant_rxn_idx = []\n",
+    "\n",
+    "    for rxn in relevant_rxns:\n",
+    "        relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
+    "\n",
+    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
+    "    \n",
+    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
+    "    \n",
+    "    for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
+    "        results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          relevant_nonzero_fluxes.index[j],\n",
+    "                          relevant_nonzero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "    print(f\"\"\"finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:31.444941Z",
+     "start_time": "2023-06-26T19:06:31.442657Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  8.324587e+05   5.920363  \n0  5.199004e+05   5.715920  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.300256e+06   6.114029  \n0  1.756030e+05   5.244532  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
+    "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
+    "results_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment\n",
+    "g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
+    "g.savefig(\"notebooks/fbagd/figures/rxns_light_up.pdf\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:32.082647Z",
+     "start_time": "2023-06-26T19:06:31.451785Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 654d6072dd7932e13034a915d65fb0dc22faf381 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:58:36 -0700
Subject: [PATCH 11/58] Cleaned up notebook for Tim.

---
 .../test_environments_new.ipynb               | 315 ++++++------------
 1 file changed, 104 insertions(+), 211 deletions(-)

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 0a8579d0f..ea7ce1d2a 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 30,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:22.109616Z",
-     "start_time": "2023-06-26T19:06:21.054198Z"
+     "end_time": "2023-06-26T20:57:45.414004Z",
+     "start_time": "2023-06-26T20:57:45.412114Z"
     }
    },
    "outputs": [],
@@ -40,12 +40,14 @@
    "source": [
     "# Import simulation output\n",
     "\n",
-    "Before running this, run a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment. Use the default .json config."
+    "Before running this, I ran a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment, where we e.g. have dynamic demand for amino acids and nucleotides, and varying cell volumes.\n",
+    "\n",
+    "You don't have to do this for now. We'll use a single time step from the simulation output to test the network flow model on its own."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 31,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -57,14 +59,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:22.114632Z",
-     "start_time": "2023-06-26T19:06:22.110641Z"
+     "end_time": "2023-06-26T20:57:45.655960Z",
+     "start_time": "2023-06-26T20:57:45.654112Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 32,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -77,48 +79,36 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:22.674606Z",
-     "start_time": "2023-06-26T19:06:22.112998Z"
+     "end_time": "2023-06-26T20:57:46.343772Z",
+     "start_time": "2023-06-26T20:57:45.846198Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 33,
    "outputs": [],
    "source": [
+    "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
     "agent = dill.load(f)\n",
-    "f.close()"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.487385Z",
-     "start_time": "2023-06-26T19:06:22.675431Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "outputs": [],
-   "source": [
+    "f.close()\n",
+    "\n",
     "metabolism = agent['ecoli-metabolism-redux']\n",
-    "stoichiometry = metabolism.stoichiometry\n"
+    "stoichiometry = metabolism.stoichiometry"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.489604Z",
-     "start_time": "2023-06-26T19:06:23.487666Z"
+     "end_time": "2023-06-26T20:57:46.880479Z",
+     "start_time": "2023-06-26T20:57:46.345051Z"
     }
    }
   },
   {
    "cell_type": "markdown",
    "source": [
-    "Pandas automatically understands dicts of dicts as matrices."
+    "# Check molecule exchanges from simulation - sanity check."
    ],
    "metadata": {
     "collapsed": false
@@ -126,31 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "{'ACET[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'AMMONIUM[c]': [816253,\n  824154,\n  859469,\n  865921,\n  881095,\n  880175,\n  899327,\n  826879,\n  877100,\n  821741,\n  883986,\n  866915,\n  879898,\n  920315,\n  906384,\n  941731,\n  923156,\n  950892,\n  935505,\n  942198,\n  960592,\n  894699,\n  933352,\n  907005,\n  937700],\n 'BETAINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'BUTANAL[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CA+2[p]': [23,\n  162,\n  288,\n  396,\n  479,\n  545,\n  598,\n  641,\n  661,\n  687,\n  696,\n  715,\n  727,\n  737,\n  755,\n  766,\n  781,\n  788,\n  799,\n  806,\n  813,\n  821,\n  814,\n  816,\n  813],\n 'CARBON-DIOXIDE[p]': [-1978935,\n  -2187468,\n  -2252374,\n  -2277523,\n  -2299096,\n  -2333612,\n  -2359294,\n  -2360849,\n  -2380093,\n  -2377430,\n  -2398409,\n  -2401014,\n  -2406075,\n  -2433275,\n  -2431991,\n  -2444870,\n  -2449074,\n  -2467528,\n  -2466263,\n  -2472228,\n  -2491605,\n  -2470017,\n  -2473566,\n  -2476245,\n  -2477271],\n 'CARBON-MONOXIDE[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CH33ADO[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CL-[p]': [1,\n  156,\n  277,\n  380,\n  461,\n  526,\n  575,\n  618,\n  637,\n  662,\n  670,\n  688,\n  700,\n  710,\n  727,\n  736,\n  752,\n  759,\n  770,\n  776,\n  782,\n  790,\n  783,\n  786,\n  782],\n 'CO+2[p]': [2,\n  6,\n  11,\n  17,\n  20,\n  23,\n  25,\n  27,\n  28,\n  30,\n  29,\n  30,\n  30,\n  30,\n  32,\n  32,\n  33,\n  33,\n  35,\n  34,\n  34,\n  34,\n  34,\n  34,\n  34],\n 'CPD-10774[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-108[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CPD-1772[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-239[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-534[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-560[p]': [-1,\n  -186,\n  -331,\n  -454,\n  -550,\n  -627,\n  -687,\n  -737,\n  -760,\n  -790,\n  -799,\n  -822,\n  -835,\n  -847,\n  -867,\n  -879,\n  -897,\n  -906,\n  -919,\n  -926,\n  -933,\n  -943,\n  -935,\n  -937,\n  -934],\n 'CPD-564[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD0-2167[c]': [-2,\n  -13,\n  -26,\n  -35,\n  -41,\n  -46,\n  -52,\n  -54,\n  -56,\n  -58,\n  -59,\n  -59,\n  -61,\n  -61,\n  -65,\n  -66,\n  -66,\n  -66,\n  -68,\n  -68,\n  -69,\n  -70,\n  -69,\n  -70,\n  -68],\n 'D-ALANINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'D-LACTATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ETOH[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'FE+2[p]': [2,\n  221,\n  389,\n  536,\n  649,\n  739,\n  812,\n  870,\n  896,\n  931,\n  943,\n  969,\n  985,\n  999,\n  1023,\n  1038,\n  1057,\n  1069,\n  1085,\n  1092,\n  1101,\n  1112,\n  1104,\n  1106,\n  1102],\n 'FORMATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLC[p]': [767215,\n  841386,\n  906067,\n  928049,\n  955257,\n  974986,\n  997159,\n  976754,\n  1006624,\n  983157,\n  1019049,\n  1016114,\n  1022593,\n  1049309,\n  1046045,\n  1066408,\n  1061093,\n  1079737,\n  1074696,\n  1081093,\n  1094849,\n  1060890,\n  1078840,\n  1067741,\n  1080357],\n 'GLYCEROL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLALDEHYDE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLLATE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYDROGEN-MOLECULE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYPOXANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'INDOLE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'K+[p]': [-2,\n  5866,\n  10378,\n  14276,\n  17273,\n  19705,\n  21590,\n  23176,\n  23881,\n  24802,\n  25119,\n  25819,\n  26232,\n  26639,\n  27248,\n  27618,\n  28171,\n  28463,\n  28890,\n  29100,\n  29319,\n  29621,\n  29376,\n  29462,\n  29340],\n 'L-SELENOCYSTEINE[c]': [0,\n  2,\n  4,\n  6,\n  6,\n  8,\n  8,\n  8,\n  9,\n  10,\n  9,\n  10,\n  10,\n  10,\n  10,\n  11,\n  10,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11],\n 'METOH[p]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'MG+2[p]': [1,\n  260,\n  462,\n  634,\n  768,\n  876,\n  959,\n  1030,\n  1062,\n  1102,\n  1116,\n  1148,\n  1166,\n  1184,\n  1211,\n  1227,\n  1252,\n  1265,\n  1284,\n  1294,\n  1303,\n  1316,\n  1306,\n  1309,\n  1304],\n 'MI-PENTAKISPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'MN+2[p]': [1,\n  27,\n  47,\n  65,\n  79,\n  91,\n  99,\n  106,\n  109,\n  114,\n  115,\n  119,\n  120,\n  121,\n  125,\n  127,\n  129,\n  131,\n  133,\n  133,\n  134,\n  135,\n  134,\n  134,\n  135],\n 'NA+[p]': [1,\n  6,\n  10,\n  15,\n  18,\n  20,\n  23,\n  24,\n  24,\n  26,\n  26,\n  27,\n  27,\n  27,\n  28,\n  29,\n  29,\n  29,\n  30,\n  30,\n  31,\n  30,\n  31,\n  30,\n  30],\n 'NI+2[p]': [1,\n  16,\n  27,\n  39,\n  46,\n  53,\n  58,\n  62,\n  64,\n  67,\n  68,\n  69,\n  71,\n  71,\n  73,\n  74,\n  75,\n  77,\n  78,\n  78,\n  79,\n  80,\n  80,\n  79,\n  79],\n 'OXYGEN-MOLECULE[p]': [2034608,\n  2149055,\n  2169775,\n  2168956,\n  2164999,\n  2172935,\n  2188886,\n  2133919,\n  2168263,\n  2146433,\n  2180739,\n  2166280,\n  2178972,\n  2212392,\n  2200685,\n  2224984,\n  2219673,\n  2239282,\n  2227522,\n  2231438,\n  2251859,\n  2209197,\n  2224650,\n  2216657,\n  2233830],\n 'PROTON[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'Pi[p]': [70436,\n  67160,\n  81767,\n  90661,\n  98134,\n  101496,\n  108099,\n  92842,\n  105196,\n  99882,\n  110315,\n  106786,\n  112263,\n  118994,\n  117492,\n  126029,\n  123905,\n  127916,\n  124975,\n  125877,\n  128400,\n  118919,\n  123993,\n  119370,\n  126080],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'SUC[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'SULFATE[p]': [13270,\n  16725,\n  16326,\n  17173,\n  17738,\n  18317,\n  18681,\n  18770,\n  19097,\n  18900,\n  19534,\n  19392,\n  19624,\n  20053,\n  19680,\n  20245,\n  19773,\n  20662,\n  20209,\n  20502,\n  20850,\n  20064,\n  20524,\n  20620,\n  20212],\n 'THYMINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'URACIL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UREA[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'WATER[p]': [-3973467,\n  -1583451,\n  231207,\n  1898797,\n  3156435,\n  4193380,\n  4946897,\n  5844085,\n  5995275,\n  6542395,\n  6496191,\n  6851775,\n  6990345,\n  7037080,\n  7342363,\n  7392897,\n  7680402,\n  7720591,\n  7953426,\n  8021574,\n  8052271,\n  8377203,\n  8167460,\n  8271067,\n  8134592],\n 'XANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ZN+2[p]': [1,\n  16,\n  29,\n  41,\n  49,\n  54,\n  60,\n  64,\n  66,\n  69,\n  70,\n  71,\n  72,\n  73,\n  76,\n  77,\n  78,\n  79,\n  80,\n  81,\n  82,\n  82,\n  82,\n  82,\n  82]}"
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba[\"estimated_exchange_dmdt\"]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.501761Z",
-     "start_time": "2023-06-26T19:06:23.496061Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 34,
    "outputs": [
     {
      "data": {
@@ -164,7 +130,6 @@
    "source": [
     "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
     "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
-    "sim_exchanges.head(10)\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
     "plt.figure(figsize=(15, 5))\n",
@@ -181,19 +146,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.887908Z",
-     "start_time": "2023-06-26T19:06:23.506008Z"
+     "end_time": "2023-06-26T20:57:47.095046Z",
+     "start_time": "2023-06-26T20:57:46.900469Z"
     }
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Check reaction fluxes from simulation - sanity check."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 35,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -201,7 +175,7 @@
    ],
    "source": [
     "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
-    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[4, :].abs().sort_values(ascending=False))\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
     "\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
@@ -222,70 +196,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.137601Z",
-     "start_time": "2023-06-26T19:06:23.888894Z"
+     "end_time": "2023-06-26T20:57:47.585269Z",
+     "start_time": "2023-06-26T20:57:47.420767Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                                                            4\nATPSYN-RXN (reverse)                                7963937.0\nmaintenance_reaction                                7600314.0\nNADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//N...  3656705.0\nTRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//...  2277523.0\nTRANS-RXN0-474                                      2168940.0\nRXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQ...  2168919.0\nTRANS-RXN-145                                       1898797.0\nGAPOXNPHOSPHN-RXN                                   1636060.0\nPHOSGLYPHOS-RXN (reverse)                           1636058.0\n3PGAREARR-RXN (reverse)                             1486502.0\n2PGADEHYDRAT-RXN                                    1486488.0\nPYRUVDEH-RXN                                        1150328.0\nPGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.               914733.0\nRXN0-7166                                            884407.0\nTRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/...   872057.0\nTRIOSEPISOMERIZATION-RXN (reverse)                   834966.0\nCITSYN-RXN                                           744564.0\nPHOSICITDEHASE-RXN                                   744358.0\nDEPHOSICITDEHASE-RXN                                 744358.0\nRXN-14047                                            744291.0",
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-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba[\"reaction_catalyst_counts\"]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.261823Z",
-     "start_time": "2023-06-26T19:06:24.134582Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 36,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 11,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -298,8 +223,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.333696Z",
-     "start_time": "2023-06-26T19:06:24.306108Z"
+     "end_time": "2023-06-26T20:57:50.720960Z",
+     "start_time": "2023-06-26T20:57:50.656856Z"
     }
    }
   },
@@ -314,13 +239,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 37,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 12,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -354,8 +279,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.337983Z",
-     "start_time": "2023-06-26T19:06:24.335409Z"
+     "end_time": "2023-06-26T20:57:50.959153Z",
+     "start_time": "2023-06-26T20:57:50.955010Z"
     }
    }
   },
@@ -370,58 +295,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "[[],\n 7130668,\n 7682916,\n 7655656,\n 7600314,\n 7529897,\n 7560265,\n 7566014,\n 7555646,\n 7555453,\n 7576138,\n 7568193,\n 7560014,\n 7555559,\n 7598335,\n 7584044,\n 7582321,\n 7600258,\n 7619933,\n 7613406,\n 7618277,\n 7667139,\n 7642944,\n 7617385,\n 7652652,\n 7642911]"
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba[\"maintenance_target\"]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.341392Z",
-     "start_time": "2023-06-26T19:06:24.338980Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "7642911"
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": 38,
+   "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
     "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
-    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]\n",
-    "maintenance"
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.352427Z",
-     "start_time": "2023-06-26T19:06:24.344104Z"
+     "end_time": "2023-06-26T20:57:51.545487Z",
+     "start_time": "2023-06-26T20:57:51.536408Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 39,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -435,14 +326,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.775269Z",
-     "start_time": "2023-06-26T19:06:24.354150Z"
+     "end_time": "2023-06-26T20:57:52.203099Z",
+     "start_time": "2023-06-26T20:57:51.791065Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 40,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -450,14 +341,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.777068Z",
-     "start_time": "2023-06-26T19:06:24.775416Z"
+     "end_time": "2023-06-26T20:57:52.207568Z",
+     "start_time": "2023-06-26T20:57:52.203915Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 41,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -472,20 +363,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.033011Z",
-     "start_time": "2023-06-26T19:06:24.775553Z"
+     "end_time": "2023-06-26T20:57:52.500557Z",
+     "start_time": "2023-06-26T20:57:52.305711Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 42,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 18,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -496,14 +387,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.037247Z",
-     "start_time": "2023-06-26T19:06:25.033497Z"
+     "end_time": "2023-06-26T20:57:52.505455Z",
+     "start_time": "2023-06-26T20:57:52.501004Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 43,
    "outputs": [
     {
      "data": {
@@ -533,14 +424,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.303692Z",
-     "start_time": "2023-06-26T19:06:25.039178Z"
+     "end_time": "2023-06-26T20:57:52.910522Z",
+     "start_time": "2023-06-26T20:57:52.648900Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 44,
    "outputs": [
     {
      "data": {
@@ -569,8 +460,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.457288Z",
-     "start_time": "2023-06-26T19:06:25.304614Z"
+     "end_time": "2023-06-26T20:57:53.439778Z",
+     "start_time": "2023-06-26T20:57:53.287110Z"
     }
    }
   },
@@ -579,17 +470,19 @@
    "id": "28db669f-93f3-4f5c-aea0-e23b6a811660",
    "metadata": {},
    "source": [
-    "## Connect to EcoCyc to go from Genes -> Reactions"
+    "## Connect to EcoCyc to go from Genes -> Reactions\n",
+    "\n",
+    "We use the EcoCyc API to automatically figure out what are made possible by the genes we are adding. While reactions are always possible, enzymes make them faster to the point that it is useful to the cell."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 45,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.817693Z",
-     "start_time": "2023-06-26T19:06:25.456944Z"
+     "end_time": "2023-06-26T20:57:53.907813Z",
+     "start_time": "2023-06-26T20:57:53.664253Z"
     }
    },
    "outputs": [
@@ -597,7 +490,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 21,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -610,21 +503,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.817958Z",
-     "start_time": "2023-06-26T19:06:25.817592Z"
+     "end_time": "2023-06-26T20:53:57.471936Z",
+     "start_time": "2023-06-26T20:53:57.470309Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -694,12 +587,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:27.529252Z",
-     "start_time": "2023-06-26T19:06:25.817825Z"
+     "end_time": "2023-06-26T20:53:59.237419Z",
+     "start_time": "2023-06-26T20:53:57.473678Z"
     }
    },
    "outputs": [],
@@ -730,21 +623,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:27.538169Z",
-     "start_time": "2023-06-26T19:06:27.535842Z"
+     "end_time": "2023-06-26T20:53:59.246439Z",
+     "start_time": "2023-06-26T20:53:59.244345Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...  \n3                  {RXN0-3501, RXN-15119, RXN0-7124}  \n4  {TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...  \n5  {RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...  \n6                  {RXN0-4022, RXN-12093, RXN0-5507}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-3501, RXN-15119, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN-12093, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN-16420, RXN0-5256, RXN0-7399}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...  \n5  {RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...  \n6                  {RXN0-4022, RXN0-5507, RXN-12093}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN0-5507, RXN-12093}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -763,12 +656,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:31.436967Z",
-     "start_time": "2023-06-26T19:06:27.546303Z"
+     "end_time": "2023-06-26T20:54:03.118366Z",
+     "start_time": "2023-06-26T20:53:59.256443Z"
     }
    },
    "outputs": [
@@ -853,21 +746,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:31.444941Z",
-     "start_time": "2023-06-26T19:06:31.442657Z"
+     "end_time": "2023-06-26T20:54:03.125618Z",
+     "start_time": "2023-06-26T20:54:03.123865Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  8.324587e+05   5.920363  \n0  5.199004e+05   5.715920  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.300256e+06   6.114029  \n0  1.756030e+05   5.244532  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n0                         pre-Quenosine synthesis             RXN-12093   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -880,12 +773,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
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      },
      "metadata": {},
      "output_type": "display_data"
@@ -899,8 +792,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:32.082647Z",
-     "start_time": "2023-06-26T19:06:31.451785Z"
+     "end_time": "2023-06-26T20:54:03.878599Z",
+     "start_time": "2023-06-26T20:54:03.128354Z"
     }
    }
   }

From ef090b017874f88026c5b4281de69c2e286eb98f Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:59:59 -0700
Subject: [PATCH 12/58] New branch for Tim

---
 notebooks/new_environments/test_environments_new.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index ea7ce1d2a..df7adf187 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -785,7 +785,7 @@
     }
    ],
    "source": [
-    "# for each environment, plot the fluxes of the reactions that are relevant to that environment\n",
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
     "g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
     "g.savefig(\"notebooks/fbagd/figures/rxns_light_up.pdf\")"
    ],

From 99e790fa1a458d623aeddbbff8ad6c4feb563fa4 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 29 Jun 2023 12:04:45 -0700
Subject: [PATCH 13/58] Added control vs. experiment flux distinction and
 support for excel import of environments

---
 .../test_environments_new.ipynb               | 534 ++++++++++++------
 1 file changed, 349 insertions(+), 185 deletions(-)

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index df7adf187..812a2a958 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 1412,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:45.414004Z",
-     "start_time": "2023-06-26T20:57:45.412114Z"
+     "end_time": "2023-06-29T18:13:37.208940Z",
+     "start_time": "2023-06-29T18:13:36.979591Z"
     }
    },
    "outputs": [],
@@ -18,7 +18,7 @@
     "import pandas as pd\n",
     "import os\n",
     "\n",
-    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
@@ -26,6 +26,7 @@
     "import xmltodict\n",
     "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
     "\n",
+    "\n",
     "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
     "\n",
     "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
@@ -47,11 +48,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 1413,
    "outputs": [],
    "source": [
     "time = '50'\n",
-    "date = '2023-06-09'\n",
+    "date = '2023-06-26'\n",
     "experiment = 'fba-redux'\n",
     "entry = f'{experiment}_{time}_{date}'\n",
     "folder = f'out/fbagd/{entry}/'"
@@ -59,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:45.655960Z",
-     "start_time": "2023-06-26T20:57:45.654112Z"
+     "end_time": "2023-06-29T18:13:37.222694Z",
+     "start_time": "2023-06-29T18:13:36.985613Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 1414,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -79,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:46.343772Z",
-     "start_time": "2023-06-26T20:57:45.846198Z"
+     "end_time": "2023-06-29T18:13:40.551633Z",
+     "start_time": "2023-06-29T18:13:36.993207Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 1415,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -100,8 +101,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:46.880479Z",
-     "start_time": "2023-06-26T20:57:46.345051Z"
+     "end_time": "2023-06-29T18:13:42.676035Z",
+     "start_time": "2023-06-29T18:13:40.559885Z"
     }
    }
   },
@@ -116,12 +117,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 1416,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
+      "image/png": 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WW+Koo47aPNdazzW1/vm3v/3t5htZ+55JVxg6dGhceeWVcfjhh7d7/VGPHj02z0fFWXLlK1/5Spx99tkxaNCgzSvFb/2bUHFxcfzDP/xDnHPOOYqz5NSGDRti8ODBUVJSEs3NzRHxt8/01hv97rvvvvHFL34xxo8fHxGKs3SvdDodvXr1ihtuuCFGjx7d5tqjrc+79+zZM0488UTFWSgAqaz/8wB2e42NjZvLiG+//fbmk9ytP8pEvH838i984Qtx1FFHJRmVApNOpzcfANx+++3xn//5n9HU1LTNQcSWF0I8/fTTMWfOnHj66acj4m8nrltXZdp77703l71bLwaCD6N1fra0tMS//Mu/xMCBA+Pf//3fI6LtD36tf3733Xfjtttui/vuuy/q6+sj4v0fT7Z8rzzssMPivPPOi8MOO2zz3IcPa+PGjfHDH/4w6uvr47vf/W5EtD83IyJ+9atfxZQpU2LDhg2bL+CJiM1zvHfv3jFz5sw4/PDDk/mPYbf3s/+PvbMOj+p6+vh3Le4EQoDg7l6gWHG3UooGh6L9USgUCqQUKC1aChQpRYI7LVLcpRAoriVYBEJIIC6bZN8/8p6Tc3cju3c3QjOf5+nTsNm9kjs755w5853ZupWLFdVqNfebbHwvUqQIlixZgho1auTmZRIfMAEBAdi8eTM2btwIAOjWrZuk8j0A7jN37tzJxdxqtZoLxDQaDbRaLRwcHLBlyxZUqFBBMp8lCFNgyYlJSUk4c+YM1q1bh3/++QedO3eWiLnFJLPo6Gj4+PjwpFsxiYf5y1atWmHx4sWwsrLK+ZsiPnhEm/vzzz/xzTffoFOnTpL1OZtLsjX6zZs3sWnTJhw5coT7RPa+5ORkODk5oXv37ujXrx+KFy+ea/dG/DdISEjAtm3b+BgOSAVgrNAFABw9ehQzZsxAZGRkumsgW1tbLFq0CC1atMj5GyH+k0RFRWHcuHH4+++/+RxStM/ExERYWVkhMTER8+bNw4EDBxAdHQ3AMH7UvHlzTJw4EeXKlcu1+yE+fNh4nJCQgB9++AEqlYqvc9IrpqrVanHp0iWsWrUKN27cAADeAYzNOb28vPDZZ59h8ODB0Gg0kjkBQZhKXFwc9u/fj9evX2PChAkAMi70GxISgq+//hpXr17ldimmseh0Onz++eeYNWtWpschiMxgPu358+e4ePEiL8CWkT1FRkbi6NGjPPFWfy0EANWqVcPgwYPRoUMHyTkIwliYsDA6OhojRozAP//8A8CwEAaQOqeMjIzEmjVr8Oeff+LNmzf8df255rBhw1CnTh2ekEt2SViCzGxJjKPPmzePx+nF/SC2Xi9fvjy2bt0KBwcHir8TstBqtbhx4waWLl2K69evA0gtNM3ENaw4OiucOnLkSJw9e5bbmjj2Jycno1WrVli+fLnB7whCLs+ePcPJkycxbNgwAIZ2Jfq+qVOnYt++fRL/ymKdKSkpaNy4MX766ScUKFAgZ2+C+E8g2t769evxyy+/oFWrVgb7lOIY/88//+D333/HyZMnAUCyRtfpdHB3d0fnzp0xYsQIuLq60lyTMJu9e/di/fr1ePLkCe8wy8Z0sRD6gwcPsHHjRuzfvx+AdJ6p0+ng7OyMNm3a8AJYZJuEXNg4HRsbi/Hjx8Pd3V2SeyQWP1coFIiLi8O+ffuwdetWPHnyBIDhOr169eoYMGAAOnTowP0q2SdB5BwkmiUIgiAAkHCWyD7EhcKyZcsQGhrKRTPpLSIAEs4SOQcLrmQkRGSQcJbILVjSLZC5bQIknCXyPiScJbKbgIAArFy5EgkJCVi0aBGAjIsNkHCWyAlE4eyRI0fw8uVLjB49GkDGyTcknCWyG9H2/vnnH9SuXdvgdQAknCVyjYSEBGzZsgXz589Hu3bt8PPPPwNIP4GHhLNETsHsLzo6GqNGjYKfn59BkRbmE1UqFQlniRyD2Z5YVCCzJG8SzhI5BbObrGKbIiScJXICfZ+WlR0ZK5wdNGgQOnbsmO45CCIr2BwyOjoaPXv2RPny5TMt8kvCWSKvQsJZIidJSkrC9evX8d1336Fs2bJYtmwZAKnfFIU2+sJZ0e5IOEtkJxnZEwlniZxCtMGzZ8/yvN/M9oRIOEvkBKIN7tmzBwsWLEDTpk0zLfRLwlkipxD3ejKLbZJwliA+DEg0SxAEQXBIOEtkF1kJvRgknCVyg4zE2xm9j4SzRF4jK+GsTqfjgjASzhK5TVbC2aJFi2Lx4sUknCVkEx4eDjc3NwBZz0FJOEvkBGx+mVWRFhESzhLZjb4NZmSTJJwlcov4+HhcuXLFqASeY8eOYcaMGYiIiEhXOGtjY4NFixahZcuWOX8jxH8KUaSwdetWfPHFF5LXGSScJXIaU5NrSDhL5GVIOEvkRUg4S+QEbA6ZkJAAa2trAJnHNkk4S+RVSDhL5CRarRYvX75EmTJlAKTvN0k4S+RlSDhL5BRy9oRIOEvkBKIt+vn5oV69egav60PCWSKnEG0nMzsi4SxB5H1INEsQBEFIIOEskV0YO8En4SyRlyHhLJFXoY6zxIcEdZwlcgJjCmEA6QtnFQoF1Go1CWeJXIWEs0ReQfSnt27dgq+vb5bC2b59+6JEiRK5fOXEfwVjEniOHTuG6dOnZ9hxloSzhKUwNsGMhLNEXoeEs0RehoSzRF4kI+EsW58DQNWqVTF48GASzhKyMbXILwlnibxKZsJZFn8n4SxhaTLzbyScJfIyJJwl8hoknCVyGmNj7iIknCXyGiScJYi8DYlmCYIgCANIOEvkNiScJfIyJJwl8irUcZb4kCDhLJHbUMdZ4kOAhLNEXiE94ezRo0eRlJREwlkiVyHhLJGXIeEskdch4SyRlyHhLJEXoY6zRF6ChLNEXoeEs0Reg4SzRF6GhLNEXoOEs8SHAAlnibwGCWcJIu9ColmCIAgiXUg4S+Q2WQln2RSGhLNEbkDCWSKvQh1niQ8JEs4SuQ0JZ4kPARLOEnkFEs4SeRV94eyMGTMQERFBwlkiT0DCWSKvQ8JZIi9DwlkiL2JMx1kSzhI5BQlnibxOZsJZZpsknCVyksyEs+JckoSzRG5Awlkir0HCWeJDgISzRF6DhLMEkTeh1RxBEASRLm5ublyE6OnpyTf6UlJSeJDm4sWL8PX1xdmzZ3PzUon/KGzDDgCaNGkCb29vNGnSBEBqsJD9XqlUIiQkhIu83759m5uXTeQTlEolUlJSYGNjg2HDhqFHjx4oUqQIgFQ/qdPpuK+8cuUKVq9ejStXrvBFL0FkF8w2AaBr167w8fGBnZ0dT9wBUn2oWq1GZGQkJkyYgIsXL+bmJRP5mL59+3KRIhPcAODje3BwMCZMmIBbt27l5mUS/2FEn9mrVy8u4hYTJ5KSkqDRaBAdHY1+/frh0aNHUKlUNKYTOYaDgwNmzZrFk22Tk5N5gg7zlydOnMCECROQmJiYm5dK/McR1+g1atSAt7c32rZtyzegmU9VqVSIjIzkG4EvXrzI5Ssn/uuIttmmTRvMnj0bTk5O6a6B4uPjMXHiRJ7cQxDZDZs3WllZYerUqejcuTMcHBwAGMaPzpw5g0WLFuHff//NzUsm8hkajQaNGjXCF198gVq1agFIi72zOWdAQAB27dqF9evXQ6vVSvwuQWQnHh4eWLBgAerXr8/tUkwcUygU2LFjB3x8fABI1/gEkV04OTmhbdu2POGWrYXY+hwA7ty5gw0bNvDiV+Q3ieyC+T0nJyeMGDECXbp0QaFChQCkP9dcu3Ytrl+/zhNxyS6J7EaMo0+dOhUDBw4EkLYfpNPp+Hr98ePH6Nu3L6Kjoyn+TmQbYsHU1atXo1mzZtzWxM7xKpUKJ06cwNixY/nvaJ5JZDei75s3bx66d+8uGatZrFOpVOLChQuYMmUKwsLCcutyiXyAOF+sXbs2hg4dyotRimt0hUKBt2/f4sCBA1izZg3evXtHc00ix6hUqRIGDhyIbt26AZDmHSkUCkRERODYsWO88BXZJpHdMBuztbXlBabLli0LwHCdfvv2bWzatAmHDx+W5MMTBGF5SDRLEARBZEh6wlk2MSPhLJETZCWcFTeiSThL5DQknCXyKiScJT4kSDhL5DbGCGe1Wi0JZ4lcxRjh7MmTJ0k4S2Q7JJwl8ir6wtk5c+aQcJbIM5BwlsjrkHCWyMuQcJbIi2QmnGVjOglniZyChLNEXicz4axarSbhLJHjZCacFe2OCWfHjRsHgOaZRM5Awlkir0HCWeJDgISzRF6DhLMEkfcg0SxBEASRKRl1nCXhLJFTpCecbdq0KQASzhK5DwlnibwKCWeJDwkSzhK5TWbCWZVKBYVCQcJZItch4SyRV8hIOMt8IglnidwiPeGss7MzCWeJPAEJZ4m8DglnibwMCWeJvEhGwlm2FgJIOEvkHCScJfI6JJwl8hpZdZxlc0mVSoXjx49Tx1kiRyHhLJHXIOEs8SFAwlkir0HCWYLIW5BoliAIgsgSEs4SuY2+cHbAgAHUcZbIM5BwlsirkHCWyG5EP8Y2lwHICt6RcJbIbbISzrKfSThL5CYknCXyCukJZ9u1a0fCWSLX0RfOzp49mzrOEnkGEs4SeR0SzhJ5GRLOEnmRzISzzG+ScJbIKUg4S+R1SDhL5DUyEs6y9Y8onKWOs0ROQ8JZIq9BwlniQ4CEs0Reg4SzBJF3INEsQRAEYRQknCVyG+o4S+RlSDhL5FWMEc6yDWkSzhJZob8JzPwaIBXNMtsyNYBHwlkit8lMOKtWqwGAOs4SuQ4JZ4m8QkbCWbVaTcJZIldJr+MsCWeJvAIJZ4m8DglnibwMCWeJvEhGwlm2PgdIOEvkHCScJfI6JJwl8hqmdpwl4SyRk5BwlshrkHCW+BAg4SyR1yDhLEHkDRQ6+jYRBEEQJhAeHs7FiK9eveIbfgqFggdrPv74Y3h7e6NZs2a5eanEfxS2cQcA58+fh6+vL86fPw8gNWjIAoMpKSnw8PDgYm93d/fcvGwin8AqiMfHx2Pt2rXYu3cvgoODAaRunoi+8qOPPsLIkSPx0UcfSYRnBJEdiNXt//jjD8yaNQuxsbE8gUen0/GNQScnJyxZsgQff/xxLl81kVcQx14gNdHL398fV65cQVBQEKKjoxEbG4vKlSvDzc0NzZs3R6lSpVC0aFH+GdEGs2Lr1q1crMiENwD4+F6kSBEsWbIENWrUsOBdEkQaor3u3LmTi7lFe1Sr1dBqtXBwcMCWLVtQoUIFJCcn05hO5BjR0dHw8fHhSbdsLQSk+cuWLVtiyZIlsLKyys1LJf7jiPOEW7duwdfXF0eOHOE+kfnU5ORkODk58Q3BEiVK5PKVE/91RNs8duwYpk+fjsjISL4GAlJ9Z1JSEmxsbLBo0SKe5EMQ2Q3zkYmJiZg3bx4OHDiA6OhoAIbxo+bNm2PixIkoV65cbl4ykc/QarW4dOkSVq1ahRs3bgBI9Zk6nY7POb28vPDZZ59h8ODB0Gg0BrEDgsguQkJC8PXXX+Pq1avcLsWUF51Oh88//xyzZs0CYFpMiiDkEhkZiaNHj/LEW/39SgCoVq0aBg0axItgkd8ksgvm9yIjI7FmzRr8+eefePPmDYD055rDhg1DnTp1eEIu2SWR3Yhx9Hnz5mHjxo0ApPF3tl4vX748tm7dCgcHB4q/E9mGWDh15MiROHv2LLc10e6Sk5PRqlUrLF++HADNM4mcQbTBqVOnYt++fZKxmsU6U1JS0LhxY/z0008oUKBAbl0ukQ8Q54v//PMPfv/9d16UUlyj63Q6uLu7o3PnzhgxYgRcXV1prknkGA8ePMDGjRuxf/9+ANJ5pk6ng7OzM9q0acMLYJFtEtkNs7G4uDheaPrJkycADNfp1atXx4ABA9ChQwfuV8k+CcI8SDRLEATxHySzSZIlgnYknCVyGxLOEnkZEs4SeZWshLNA2iY0CWcJBrOb2NhYPH78GNu3b8f58+czrVTr6OgIW1tbjBgxAtWrV0f16tVNPi8JZ4ncJivhrE6ng0ajIeEskauQcJbIK6QnnD169Civ4EzCWSK30BfOzpgxAxERESScJfIEonD2xx9/xJ9//pmhcLZZs2aYNGkSCWeJHIWEs0RehoSzRF4kI+EsWwsBJJwlcg4SzhKWhOVeMPtISUkxOwZOwlkir0HCWcJSmDKOGms/JJwl8hoknCU+BEg4S+Q1SDhLELkHiWYJgiD+A+hPiN69ewetVotXr17xZO7ChQvDzs4Otra2mX7WWNITzup0OsnGHwlniexEXzi7adMmnDt3DgAJZ4nch4SzRF6FhLOEKbANuNDQUKxbtw4XLlzAv//+yxMjWFCZJUsA4PNBJpIpXbo0hg4dim7dupl8fhLOErlNZsLZpKQkACDhLJHrkHCWyCuQcJbIq5BwlsjLkHCWyOuQcJbIy5BwlsiLUMdZIi9BwllCLsx2jLUDuWMsCWeJvEZmwlnRzpOTk9G6dWssW7bM4HdE/kbfb75+/Rrx8fEIDAwEALi5ucHOzg4eHh6S/E1j/C0JZ4m8BglniQ8BEs4SeQ0SzhJE7kCiWYIgiA8YFnhj/9+xYwf+/fdfHDlyBFqtFpGRkXyD2N3dHfb29mjevDlq1KiBli1bwsrKim/SyQngUcdZIrch4SxhKdJbVJq70CThLGEJxM0PsXqzOfZJwlnCGJjtBQcHY9KkSbhz5w60Wi0UCgWffwLgNiMm0jBBbVJSEpydnTFw4ECMHDlSln8j4SyR25BwlvgQIOEsYQkssdGWnnD2yJEj3CeScJbILfSFs9OnT0dkZCQJZ4k8AQlnCUuQHbFNBglnCXMQRTdiVzpL2QgJZwlLY4l4DglnibwECWcJU9B/5iEhIXj69Cnu3LmDZ8+eAQASEhLg6OiIWrVqwcPDAw0bNuRCQznjbGbC2aSkJCgUChLOEjmKKcJZ6jhLMMQ9cq1Wiz179uDOnTs4d+4ctFotIiIiAAA2NjZQKBSoWrUqqlatih49esDT09Nov0bCWcISMHu1hN8i4SzxIUDCWcIcsiPuTsJZgsh5SDRLEATxgcICIe/evcOxY8dw5MgRXL58mf9erVZDoVAgKSmJT6RYUjcANGzYEDVr1sTQoUPh4OAg+zpIOEuYQnoBFzF4KGdCry+c9fX1xfnz5wGQcJbIGOZDTbE7OZtvJJwlTCWzwLQlAx8knCUyg/m7gIAADBs2DC9evOC2J24Gi+JZ9rOYGJGUlITWrVtj/vz5kmq5pkLCWcIUmG0y+9DpdBYtNpCecFahUECtVpNwlsgUcd0DwOKbKyScJYzB1E4hcuySOs4SeRXqOEvkZTITzrLCRSScJUT01xps3hcfHw+FQgFra2u+RhffIzcZkoSzhLHo21l8fDxsbGwQEREBrVYLNzc3aLVaWFtbSz5njr2QcJbICn37evv2LWJjYxEYGAilUgmlUolChQoZdPwC5NsLCWcJuWRnkV8SzhKZwewkNjYWr169wpYtW/D333/j6dOnmX6uXr16qFixIry9vVGsWDFuL6b4T+o4S5iDfrzdEnM9Es4SpsB8UUREBE6dOoU//vgDf//9N/89W6MA4PvnbIwtWbIkKlSogC+//BKlS5c26XwACWeJrDE1J1OOHyPhLGEpxDHd0mMqCWcJY8lojcH2udOzC3N8JwlnCSJnINEsQRDEBwibmL169QqzZs3CnTt3EBYWxhNoWPBDf9HLfi+KZ8uVK4cvvvgCtWvXhqenp6zrIeEskRH6i4jk5GSkpKQgNjaWLyLs7e0z/YwxkHCWMBb9ReOTJ08QEBCAGzdu4OXLl3yBCwCVKlVCpUqVUKpUKRQvXjzDY2QFCWcJY9C3q/v37+P58+c4f/48Xr16hcTERMTExMDe3h41atSAh4cHOnToABsbGzg5OWV4nMwg4SyRHswugoKC4O3tjaCgIB4wZvbA5pilSpWCUqmESqVCVFQUXr16JTlWqVKlsH37djg7O5sd1CbhLJERptqWXFukjrOEqejbWnR0NKysrPD27VskJyejQIEC0Gq1cHZ2lnzOnE0OEs4SxhIVFYWgoCC8evUK/v7+SExMhJ2dHVxdXeHi4oI6depAqVTCzs6Of8YU2yThLCEHuWsZueegjrOEXDKyP3PnfdRxljAGfV/p5+eHoKAgXLhwASEhIYiNjYVCoYCNjQ3c3d3RqFEjeHh4oFmzZvyzcm2VhLNEZug/67NnzyIwMBCnTp3Cu3fv8O7dO2i1Wri7u8PGxgYfffQRypQpgyZNmsDFxcVsYRYJZ4n0ENcdSqUSW7ZswePHj3H06FEkJyfzcRYAnJyc4OTkhNq1a6Nx48Zo2LAhChYsCED+Op2Es4QxmFLk15yuYCScJTKD2WFoaCjWr1+P8+fP499//+XFUjUaDbcPIK2IKpBWvMXFxQU9e/bExx9/jIYNG8q+BoA6zhKZkxNFAYHMhbOi3SUnJ6N169ZYtmyZ5PqI/AGzhdevX2PevHm4efMmQkJC0s3fBNLskflRtmapUqUKFi9ebHR8nISzhKlotVq8fPkSb968gb+/P18jFS1aFG5ubihfvrxkP8hUSDhLyMHUMd3cMZaEs0Rm6D/ve/fuISgoCH5+fggMDERiYiJUKhXUajW8vLxQt25dFC5cGNWqVeOfMdVGSThLEDkHiWYJgiA+MMTOXyNHjuSVHRUKhaRrjT764lnWcSkpKQkFChRA3bp1MXToUFSvXt3g/cZAwllCRN9+Lly4gICAAJw6dQphYWGIj4/nGyiscl6VKlXQpEkT2Z3oSDhLZIVYIffJkyfYuXMnLly4gNevX2f6uRIlSqB27dro1q0bypcvD1dXV9kCHRLOEunB7CM6OhqPHj3Czp07cfbsWbx//56/R6VSSTakAaBIkSIoUqQIBg0ahGrVqsHDwwOAaYm6JJwlRNhYGhoainHjxuHmzZsGglknJye0a9cOjRs3Rr169WBlZQW1Wo3Q0FA8evQIx44dw+nTp5GQkICNGzeiZs2aFktaIOEsIaI/33z27BmeP3+OK1euICAgAFqtFjExMXBzc0PlypXh5eWFFi1aQKlUwsbGxuTKugAJZwnj0LepI0eOIDAwECdOnEBUVBTCwsKQkpICZ2dnaDQa1K9fH8WLF0f79u3h6uoqsU85kHCW0If5roSEBLx9+xY7duzAtWvXcPPmTW4b+pQrVw6FChXCwIED4eXlhVKlSpl8XhLOEubw4sULxMXF4enTp9DpdHB1dYVCoUCpUqVQsGBBs8ZV6jhLmIr+uPz+/XuoVCqEhIQgPj4eLi4ucHFxAQA4ODjw98lJ4iHhLJEZYvzoxo0b2L9/P06dOoW4uLgMP8PWPE2bNkXdunXRs2dPuLm58d+bOu8k4SyRHsx3RUVF4fLlyzh48CCOHz+e4X6lSPXq1VGmTBmMHz+er4cAeeIGEs4SIswu3717h8OHD+Po0aO4evUq94tMBMN8l0qlglar5Z+vXr06qlevjjFjxsDR0RFqtVqWXZJwlsgI/ef8/PlzBAQE4M6dO3jx4gWSkpJ43KZChQqoWrUq3xPK6BhZQcJZIj2YvwwKCsKECRPw8OFDJCYmclGX/t6kCBN9sfi4Wq2Gs7MzhgwZgoEDB3Jfa6z9UMdZIjP07Sg6OhpPnjzBkydP4O/vz+3R1tYW9erVg6urKypWrMjfL8dOTBHOUsfZ/AezgcDAQIwfPx73798HkJa/CUi7JrL5nziuMl/72Wef4ZtvvjFpz4aEs0RGMB+UmJiIqKgobNmyBTdv3sTly5cBIN21etWqVVGqVCn06dMHRYsW5blH7P2mFikg4SxhCtHR0QgMDERgYCD8/f2RlJQEpVIJT09PuLm5oXr16nBwcOBjMiB/3UzCWSI9mN+MiYnB/fv3sXfvXpw9exbh4eEZfkahUMDJyQlNmjRB8+bN0aRJE4Ni6cZAwlmCyBlINEsQBPEBwSZngYGBGDBgAF69esUn7izgxn4Wk2KZq2fvFV9jQRm1Wg0PDw/4+PigadOmsq6PhLMEkGanUVFR8PPzwx9//IGTJ09KOhyL4i9xg7p48eLo1KkTGjduzAXcgLwADAlnCREWMH7z5g3WrFmDy5cvSzZPRP8IQFJYgL3H09MTxYoVw+TJk1G5cmUegDa14hkJZwkRZpshISFYuXIlLl++jBcvXkh8o371ZrEzCKNx48Zo2rQpvL29Tb4GEs4SIrGxsVi2bBm2bt2KxMREAGnPv0CBAvjpp59Qo0YNODo6pvv5mJgYvH79Go8fP0bTpk0NOsqbCwlnCUAatH769Cm2b9/OOytlRokSJVClShV89tlnqFOnDt98lltsID3hrEKhgFqtJuFsPoU958jISJw7dw6HDh3C6dOnJe/JqNhVmTJl4OXlhS+//BJeXl5cdCMnwYaEswSD2eTbt2+xbds2nDlzBvfu3eN2KHYKYXYiVri3tbVFmTJl0LlzZ/Tp04fbi7F2ScJZIiuYDSQlJSExMRGbN2/Go0ePcO7cOaSkpCAmJgZAWiJu0aJFUahQIXTo0AE1atSQxI5MGWup4yxhDPq+bs+ePfD398eRI0eQmJiI8PBw3nXJ2dkZhQoVQosWLVC+fHm0bt3aoIuIsZBwlkgPMX70yy+/4Nq1azx+BEDSSRFItV/9hEQAKFasGMaMGYPatWvz8dbU+SYJZwkRsbPS4sWLce3aNQQHB0sSwFmMHUizN/Y6o0iRImjTpg06d+6MKlWqyL4eEs4SQJpdvnr1CjNnzsS9e/cQHh6ebscvcb8cSJsDst9VrFgRPXr0QIsWLVCsWDESzhIWQSzy+/z5c2zfvh2XLl1CUFBQhgUHVCoVSpYsiYYNG6Jjx44oV64cHBwcZBf5JeEsAUgL9g8cOBDBwcGSfUixs7FCoeACQhY7EgVgok8DgB49eqB3796oVq2aSfZDwlkiPcQ8i3fv3mHjxo34559/cPv27XTfz4pdtG/fHuXLl8eAAQNkF+/PTDgr+mASzuYvRP85YMAAvH79mvtP5qMygsU5ra2tkZCQgFq1amHt2rWwt7eXHUMCSDhLpMJsIiwsDLt27cKpU6dw+/ZtPhZbWVnxfSA2vmu1Wm6X7u7uKFiwIMaNG4datWrB1dUVgLw9IRLOEukhFvoNDw/H1q1bcf36dfzzzz8ZfqZs2bLw9PTEgAEDDAr9yrEbEs4SIvp5m1euXMGzZ88M8jbTyylm73F2dkbRokUxefJkVKxYkRdZNTXnnYSzBJF9kGiWIAjiA0Hs/DVq1CjcvXvXoPMX22SrVasW7OzsYGNjA2trawQEBODly5eIiYmBVqtNt6qZ+PPPP/+Mdu3aybpOEs7mb8RFxOLFi3H9+nUEBgamm7zDNlDYa0xooNFoYG1tjS+++AKtWrVCyZIlAcgLwJBwlgCkFR4nTJiABw8e8IVrVhVy9bt463Q62NnZYdCgQWjevDlP0DXWPkk4S4joVx99+PChgW/MSFgjBmfEQEzHjh0xbNgwlClTBlZWViaLugESzn4o6D9bczdfmT3evXsX33zzDZ48eQKFQsGfu5ubG1atWpVhUYucDMRlJZwtWrQoFi9eTMLZ/yj6hTAuXbqEp0+fGgjAmE0yf6q/Sd2tWzc0bNgQXbt2NfkaMhPOsnNTx9n8h5gsPn/+fNy4cQOvXr3i80k2zxP9ZnrJ4k5OTmjdujU6duyIRo0ayb4eEs4SYqeQKVOm4N69e4iLi+O+URTHAmnzS/Z/sdgVALRp0watW7dGu3btuK81xqeRcJbICGZD4eHh2Lt3L06fPo3r169LbJDZKPOVzC7ZOmjIkCGoU6eOLEErCWeJzGD2+f79e5w4cQJ//fUXLl68yH+vUql40jib9zGUSiVq166Nrl27olGjRihatGi2CmebN2+OiRMnknD2P0xm3WvEAqrp2Rmbc4rJPHZ2dqhbty569eqFVq1aZfjZzCDhLAFIE8XHjh2LR48eAUg/pq4fPxJfY7ZpbW0NJycnTJs2De3bt5d9XSSczd+IdjlixAg8e/YMgKFdstf0bYPZpbiOd3Z2Rvny5TFlyhRUrVqVhLOEWYixzbVr1+Ly5cv4999/0y3yy+xDPyG3ePHiKFmyJL755huUKlXK5Bg9CWcJIM0OgoODMXjwYLx48ULSMVZf8GVlZYXExEQu8mLoj7ViHL5Bgwb47LPP0L59e27jxoy5JJwlRMSigJs2bcK5c+fw4MEDid8UBdvsdfG1cuXKoXv37mjSpImstTN1nCVE2HN99eoVhg0bBn9/f4P8TWtra7i5uaFZs2ZwdXVF4cKF8ebNG9y6dQsvX77Ey5cvAaSumzdt2oTChQvL9mEknCUYzBaCg4MxZcoU3L9/HzExMenGjxji+of9jsWSunbtipYtW/LYkZw9IRLOEiLimL59+3acPn1aUujXysqK51qw8VPcF3JycoKrqytGjBiBJk2aoFChQgDkjbcknCUAadz9f//7Hx48eMDX4/p5m+LzF/cu2Zqd2Wj79u3RqVMn1KtXD4DpOe8knCWI7IFEswRBEB8Q8fHxWLp0KTZv3swXCCzg4uzsjJ49e6JBgwZo3LixZBIUGxuLd+/e4cyZMzh37hzOnj3LfycmzrKOSADw448/olu3bgBM35Qj4Wz+RNyIHjduHB4+fAgAkk09/SRc/SrO4iY0kGonrVu3Ru/evQFIg9GZoS+cZcFzgISz+Q1TK+TqL3xFRIGiRqNB7dq10adPH15kgISzhClkVn1U9IVso09/009MptH3nTVr1sSnn36K9u3bm1RpnISzHw7iOPfkyROULVsWgGU2X8XNNOYLHR0dMXfuXLRp0ybPBNuo42z+RAxaf/nll3j06JFBIYzMig0A0qQdW1tbdO7cGRMnToSTk5NJiV/UcZYQEcf1MWPG4PHjxwDSTxYXOyxllCyuVqthbW2NcePGYeDAgbILFJBwNv8i2uTgwYMlxaz0i6il92+WsCAW0ABSO4A1b94cU6ZMgbW1taw1OhPOHjlyhF8nCWfzH2ICz4wZM3D37l1EREQYiLr1/Z8oqGV26eLigrZt2+Krr76Co6OjZF2VFfrC2RkzZiAiIoKEs/kcsTvd3LlzcfPmTbx9+5bbJ3uPvo2xxAg2xtrb28Pd3R0zZ87kRS4B48dz6jhLAFnHj/SLCjDEzkfifFRcN9nY2GDSpEno16+frGsj4Wz+hs3fAgIC0L9/f4SEhEj2XpiPEhNzGWzdLI63zC7Ye8ePH4/OnTvDy8sLgOlrIRLO5k/YcwwMDIS3tzeCg4N53FAcw/XtkvlJUawo2hx7r62tLX7++WfZe9sknCXE4lasyC8reJ5RkV/RHvXjn25ubhg0aBCaNWuGChUqACDhLGEa7969wzfffIOzZ88aCL5sbW1RpEgRtG3bFl5eXihRogQSExOh1Wpx4cIFvHnzBn/99ZeB4BuAxJ6rVKmCXr16oWfPniYldGcmnGXxdxLO/vcR/eakSZPw8OHDTIsCAml+U794kK2tLTw8PDBx4kS0bt2av99YmyThLCHy/v17TJs2DadOneJzOmZrrq6uGDt2LGrXro1KlSoZfPbx48c4ffo0du3ahSlTpqB169YWK44NkHA2vyLGj4YMGYKAgIBM94Qyyt0E0uLhSqUS7u7u+PzzzzFmzBiTroeEs4Q+4p7Q5MmT0y30C6Rvp+K/2e/btGmDTz75BN27d5cc3xRIOJu/Ef2mt7c31zmkF3cH0mJDbNzXn4My36nRaFCiRAmMGDECXbp0AUAdZwkiL0CiWYIgiA8ANqERqzWLQeACBQpg/vz5Bsk3LCjDgivsOOvXr8fhw4dx584dAOlXZASApUuXom3btrKumYSz+QsxQYIl74ibvWwRIXbfAtI2NfQDImL1Ujc3N3To0AHTp08HIK9yGXWczZ8wG3j16hUGDRrEK+Sm120OSE14iIuLk7ymnywBSDsmu7i4YPTo0ejfvz8AEs4SxsFs8/Xr1xg8eDCePXuWoW3a2trCxsYGsbGxcHBwQFhYGP+dmDTONv2Y3RQrVgxt27bFiBEj4OzsTMLZ/xDi+LZx40YsWLAAPj4++OyzzwCYt/nq5+eHUaNGISYmhh9Dp9OhW7dumDRpEtzc3CxzExaChLP5i6yC1mzsFJO0xWRHAJLkXTF5vFGjRhg0aBDq1asHW1tbiwlnAVDH2XyAOcni4npdFLOy4wJAv3790Lt3by6CIeEskRXMpoKCgjBgwACDRPH0knDTQ7QV/c/Vq1cPq1evhp2dnckVcgHqOJvfEcf04cOH4/nz5wDS1jcAJGsPnU7H7VcsQiAKFHU6HerVqwdvb280bNgQDg4OJJwlZCHa5xdffAF/f38AGXdN1C80ICbmsnFWrVajf//+aN++PV+bmNphiTrO5k/E+NGQIUPw9OnTTONHTCSQkJCA5ORkxMfH89/rr5mBtPnmyJEjMXr0aFhbW5t8jSSczZ+wZxgSEoJhw4bh33//zdA2CxYsCHt7e9jY2CA+Ph5hYWGIioriv9dPjhQ/37NnT/Tu3RtVq1aVnNdYSDibPwkNDcWYMWNw+/ZtA7tkRSnr1asHe3t72NraQqPRIDQ0FHfv3kVKSgqioqIkY7n+fFClUmHOnDno1KkTNBqNydeXkXBWXHORcPa/iTjPHDRoEIKCgjIt8suScLNKyLW1tUW9evXQr18/nnNh6n4QCWfzH+zZ79q1C0uWLEF4eLgk/8jV1RWTJ09G9erVUaZMmQyPc+rUKVy8eBEHDhxAZGRkhsLZcuXKYcCAAejZs6dJha6o42z+xtiigMxf6ecdsd+LPpYxZswYdOzYEaVLl5a8LytMEc62bt0ay5YtA0DzzP8SbK27detWrFq1CmFhYQb5mytXrkT16tUlnxHHeUZgYCDc3Nx4nqe5kHA2/yLuCXl7eyMoKMikPaH0CmDo+83PPvsMU6ZMgYODg9HXRcJZgpHeWigjUTcjK1E3kFpQtVOnTjynWA4knM2fmJJTrFAo4ODggPj4eF5QQPSrmfnOqVOnYuDAgbKujYSzBGFZSDRLEATxAfHzzz9j1apVkoCLi4sLli9fjrp162b5eTEA4+fnh6NHj2Lz5s0AMhbOrl69WraolYSz+QMxQWLIkCHw9/fPcBHh7OwMe3t7JCQkQKFQIDExEZGRkekKE/XFDC1atMCvv/4qOaex1waQcDa/8v79e0yfPh0nTpwwsEs7OzuULVsWrVq1QoUKFVCxYkVERUUhJiYG/v7+OHv2LB48eICXL18CgERApr/InTRpEoYNGwaAhLOEcURGRmLGjBk4evSogW3a29ujSpUqaNOmDSpWrAgvLy9otVqoVCpcuXIFb968wdatW7m9ZhSAcXNzQ6tWrTBhwgS4urqScPY/gDiu+fr64ocffgAAFCpUCP/73//Qo0cPg/eZwrZt23iioBh8XrZsmaTqsiVh1xobG4uwsDB4enoa1bGOQcLZ/IEYtB48eDCeP3+e4XxTrVbzZFw7OztERkZKficGsMVK5BUqVMCnn36K7t27w9HR0SLCWXYu6jj730VcC40YMQKPHj3K0DaLFSsGe3t72NvbIy4uDuHh4QgJCeG/Z8niTAAmfr5169YYMGAA6tevLzmvsZBwNv8RHh6OiRMn4vLlywY2aW1tjQIFCuCTTz5BoUKFULJkSaSkpODp06cICQnB33//jTdv3iA+Pp6LEsW1ELPTihUrYvXq1fDw8DBLOEsdZ/MXYgJPv3798Pr1a0kCjyiy0ie92BEgHc9LlSqFDh06oF+/fnBzc5Nlm8eOHcP06dMRGRlJwtl8htidrl+/fpJCGPodZtNL4hHHZn27UavVqFu3Lnr16oUOHTpIzpcV1HE2fxMZGYlZs2bh0KFDBmO6g4MD6tSpgxYtWqBWrVooUaIE4uLiEBsbi8jISBw5cgQPHz7EmTNn+PHEeaA43/T29saoUaPg6upq8jWScDZ/Eh0djblz52Lfvn18zsgKSDk6OqJJkyb45JNPULduXRQoUAA6nQ7x8fGIjo7GtWvXcOHCBfz111+8yGpGe5Tt27dHv379jNoDTQ8SzuYvEhISsHTpUmzevBlJSUmS7nLOzs7o3bs36tWrh8aNGxt8NigoCPfv38fu3btx6dIlaLVaAGnxHbHgr0qlwrfffotevXqZFMdkUMfZ/AfzLa9evcLAgQPx8uXLTIv8WltbIyEhQfIaW/ekV+BKpVLB3d0dEyZMQLdu3STnNPbaSDibPxk+fDjOnz9vIPhavnw5atWqxd8nxrLZWMrsKzo6Gnfv3sXUqVPx6tUrAGniB9GvVa1aFUOGDEH79u1NshsSzuZPmG8KDg7GwIEDERAQkKkAjPlI/eKU6RVnYz63Y8eO6NGjB9/jzg7hLHWczVuY+wyYjSQmJmLIkCG4du2aQf7msmXLUK9evUztKTvHTxLO5l/CwsIwYcIEXL161WCeaWVlBUdHR3zyySdwc3ODh4cHVCoVXr58CX9/fzx//hwvXrwAYFg4UPS5HTt2xNdff43ChQsbfV0knCXEPaGBAwciMDAwS1F3evH3zHKKP/nkE8yZM0e2PyPhbP4kIiICM2fOzDBvs3LlymjZsiWqVKmCcuXKITo6GtHR0QgJCcGxY8fw+PFj3rQMgGQ/UbTtCRMmYOTIkQCMn4uQcJYgLA+JZgmCILKJd+/eyUowyIyxY8fi1KlTfNJjbW2Nr7/+Gn379jU6sCNOikJDQ7Fv3z4sXrwYQFpHJDGoU7RoUSxZskRSBc0USDibP4iOjsacOXOwf/9+vlnHbMjR0RENGzZE8+bNUa9ePRQrVgyxsbFQKBQIDg7G5cuXcf36dZw8eZJvQotBGLE7U5MmTbBkyRKTNjr0hbObNm3CuXPnAJBw9r8MW2QePHgQP/74I96+fSvxbW5ubpg8eTLq1KkDLy8v/jn9heP9+/dx/vx5rFy5EomJiQYb0uJm39dff42hQ4dKzm/sdZJwNv/AnvmJEycwZ84cvH792sA2Z8yYgRo1aqBIkSIZHsff3x+3bt3C2rVr8fTpU8lmIDsPADg6OqJjx46YMGECnJ2dZYnASDibN9DvMDtv3jwAqfM3nU7HO1/369fP5GOnpKQgISEBAwYMwN27dyV+rmbNmti2bZvlbkTvvEqlEmFhYdi9ezceP36MgQMHonr16iZtXJJwNn+QVSGMcuXKoU2bNihTpgyKFSuG5ORkJCcn4+rVqwgJCcGOHTuQmJhoUG1c7A5WvHhxdO3aFf3795ftM9MTzup0Ouo4+x8mJiYGP/30E3bt2iVJYGRjZMuWLdG0aVM0bNgQLi4u0Ol0SEhIgFarhZ+fH/z8/LBz504kJCTwhJv0ksXNXTeTcDZ/wBJeNm3ahJUrVyIiIsIgcWfcuHGoU6cOKlasmO4x/P398ejRI/z66694/vw5t0Fx/axUKnky4tq1a1GoUCFJwlhW16gvnKWOs/mLt2/fYty4cbhx40a63b/UajUaN24MFxcXlC5dGlFRUQgMDMSzZ89w9+5dfpyMxvMCBQqgVatWGDNmDAoVKkTCWcIo2PN/8+YNRo8ejbt37xrYJxvna9SoATs7Ozg5OUGtVuPu3btITEzkCeKAdF3CfJpSqYSnpydGjBiBzz//HAAJZ4mMYbZx/vx5+Pj4IDg42CB+5OPjg9q1a6NgwYL8c/prDK1Wiz///BN79uzBvXv3kJCQwPeBAEh+HjRoECZMmABra2uTk2tIOJt/YLZ548YNfPPNN3jx4oWBbc6ZMwc1a9aEm5sb/xyzBdE+T548iXPnzmHHjh0AMi7u27FjRwwZMgRVqlSRdc0knP3vw/zJ69evMWrUKDx48MBAALZgwQLUqVOHd9XW6XRc7K3/zLdv344TJ07gwoULANK3TZVKhblz56Jbt26y/BkJZ/Mf79+/x9SpU3H69GmDeaatrS1KlSqFVq1aoWzZsqhUqRKioqIQERGBZ8+e4fTp0/D395fsHwKGRX7VajVmzJhh8lyThLMfDpb8e587dw4jRoyQFPJzcnLCggULZMUfX79+je+++w5XrlxBXFycRLDIbLRBgwb46quvTM49ykw4q5/fRMLZ/w7h4eH4+uuvcfHiRQO/aWNjw4tHe3p6olSpUoiNjUVCQgLOnj2LN2/e4J9//uHHymgN9PHHH6N37968cLAlhLP6hbeo42zus2vXLlSrVg0VK1a0yDNYvnw5li9fzv1cSkoKbG1tef5mbkPC2fxHcnIyfv/9d6xZswYxMTEAINkTGjVqFGrVqpXh+PvkyRNcuXIF69atQ1hYGC+oql+oBUgt8jt9+nR4eHgYfX0knCX0C/2ycZQV+nV1dUWrVq3g7u6OYsWKQalU4sWLF3j+/DkePnyIR48eAYCBLYhzzUaNGmHGjBkoVaqUrGsk4Wz+gc0Fjh07hrlz5yIkJMQgtjlt2jTUrl1bkrepP4d49eoV/vrrL2zatAmhoaESuwakc86vvvoKI0aMSPc4GUHCWYKwLKaXPSQIgiCyZMuWLbhy5QpGjx6dYRJiVuhPXN68eYNbt25JJk2Ojo6oUaOGSQEd8ZgFCxbEgAED4OLigpkzZ0oSdFnV/JCQEKxbtw5TpkyBp6enyffh5uaGXr16AYBEOMuq+yYnJ+PixYv8/SSc/bBg9nj37l1cv36dvyYuIr777jvUqVNHEmSzsrKCRqNB2bJlUbZsWXTv3h39+/fH4sWL4e/vzxN7xc02lUqF8+fP46uvvsKaNWu4/WS10SEeo0mTJvz1c+fOGXSzCQkJwc6dOwGAhLMfOMwv/vXXX+kKZlevXo1q1arx9zMbYD6S2UblypVRuXJlVKxYEdu2bcPVq1cRGxsrEcEwW1y4cCFsbGzQr18/7ueyWoCyhEsbGxveqZYJZ9k1seNfuXKFf46Esx8uzDYPHjyYrmD2119/Rc2aNfn79YMlzK7KlCmDMmXKoGXLlpg2bRr8/PwQGRnJ389sKyoqCsePH4ejoyNGjhwJBwcHo6+THatr164AYCCcZfOGyMhITJgwgYSz2Uhmglkg1WeFhYXB399f1vHZRkdERAQ/Hhs/xQRHS8LsKyAgAEuXLsXly5cRFhYGa2trVK9e3aT5LduA/P777yXzWVbtPDg4mNsoCWc/PJitXLp0Cbdu3QIASXKEm5sbvv32W1SrVg3Fixc3+HzlypUBAF26dMHp06fx559/SjrVit+vly9fYvfu3VAqlRgwYAAcHBxMGs+VSiVf++ivr5KSkqDRaBAdHY1+/fqRcPY/AHvmL168wLVr1yRJ4Mw2582bh1q1asHJyUnyOY1GAxsbG7Ro0YL/d/78eWzevFky12T2wdbNCoUCdnZ2qFevnsnX6+DgwJPADx06JFkLMX958uRJ7i9JOPthwsbvU6dOGQhmWaeQmjVrSros6P/M5pkNGzbE77//jjNnzuDJkycSe2Rdlh4/fowRI0Zg69atsLOzM3mNXqNGDXh7ewOAQcdZlUqFyMhI7Nu3DwBIOPsfITExEVu3bsXDhw/5hq7Y/WvgwIGoX79+ut3kEhMTcffuXezevRvXr1/Hixcv+OYvkBbzDAsLw+HDhxEbG4vJkyejYMGCRo3nom22adMGAAyEs0xYER8fj4kTJ5Jw9j8ESz747bff8PDhQ0nXLmaf3bp1w8cff4wGDRpArVbzNUt4eDhSUlKwdetW3LlzB+fPn+ciWyBtzpCSkoLg4GAsXrwYCQkJ8Pb2NiiAlRHM/1pZWeGbb74BAC6c1Y8fnT17FgqFAhMnTiTh7AcMs4n9+/enK5hds2YNqlatyt8vxtDFf2s0Gnz66aeoVKkSTp06hQ0bNiA6OlqyTmEJPBs2bICNjQ3+97//8cRfY9fmGo0GjRo1AgAunGXfIWbnAQEB2LVrFwCQcPYDhtnEnj17DASzrq6uWLVqlSQRVyyMqt+Bq2XLlqhTpw5q166NmTNnIiEhQTLmMr926NAh2NnZYcSIEZICmMbi4eGBBQsWSISz7NqA1DGACXdnzZpltG8m8g7Mj+zevdtAMOvs7IylS5cazC8VCgWPrYrCFpVKhd69e6NmzZqoUqUKVq9ebbB/zvzmtGnT4OLigubNm5tsM05OTmjbti0AGAhnmQ3euXMH69evh0KhQIcOHUig+IHCnumZM2d4Fxpxnunq6orJkyejdu3a6a55GzZsiL59++LmzZs4ceIENmzYYLA/KRa38vHxgUKhQK9evUzeq3RycuKJvEw4qz/XFDvYk3A25/Dz80O9evUs+vd++/YtAGn+UMuWLWUV009OTkbhwoUxZ84cLFq0CGfOnMG7d+/475n9/P3339ixYwcqVqwIKysro32nmBcydepUAKl7ZeJclvnnx48fo2/fviSc/YBhc7TDhw/z4mn6fvPLL79EzZo1083H6969O4DUgrvXrl3D4cOHDcZyMebORN6tWrUy+jsmCn5Wr14tEc6Kc0mVSoXjx49j7NixWL58Oc0zc4FNmzZh7ty5KFCgADZu3IiyZcvKfgY6nQ6xsbG4ceMGzy1ia+eSJUvK2rcx5dxiLFV8TR/RZ7KcAlE4K+aTXLhwAVOmTCHh7AdOYmIizp49i+joaIM9oV9++QW1atWSxCnF5iUqlYrnbtauXRt//vknDh06hDdv3qTrN48fPw4rKyvMmTMHtra2Ju8J1a5dm79+8uRJg8+/ffsWBw4cAAASzv4HYGLoP//8E/fv3wcAyZqaFfqtXbs2KlWqlO4xAgICcOfOHb5ujomJkdgzG3svXbqEmTNnYs6cObL2EitVqoSBAwcCSI3HinMHhUKBiIgIHDt2DABIOPuBI+ZtpieY1c8pZs9Zf7/H09MTQ4YMQaVKlXDw4EEcPnwYcXFx6cbdFy9eDBsbG74nZMqepa2trWR+++TJE4N1+u3bt7Fp0yYAIOEsQWQArcAIgiAsjK+vL2bPno1Tp07B19cXjx8/NvkYbLLNfgZSK9Wx4CD7f4sWLSQTNDnY2tqiV69evDsXq47LSEpKwtWrV3Ht2jXJ9ZgCE85+/vnn8PT05JWo2GYOAFy8eBG+vr44e/asWfdD5CxiF8KAgIB0EyTatGnDg2vMdjUaDYC0qqL29vaoW7cuFixYgCFDhvBAJSDt5KlSqXDu3DmMHTuW/5v9LjPYIgIAmjRpggEDBnABLev0wBLFmXB2x44dfLOIyD7Eiu6ZvSaH27dv49y5czzgyzofz549G9WqVZOcRz8orp8406xZM3z99dcYMmQInJ2dJb6SLUR1Oh1WrFiBI0eOADCscJYR+sLZHj168EpVTMTAznXlyhWsXr0aV65ckeWPibzBw4cPcfnyZYltMiFLzZo1M7VN0a6Sk5Ph7OyMn3/+Gd7e3lwsJnYAA1KTxv/66y8cOXIEiYmJRl8ns00A6Nq1K3x8fGBnZ2cQSBeFs2IhDMIyZNVhlvmCLl268O6WcvD39+ebH2IiI/NHrBu8pVAqlbh//z5GjhyJI0eOICwsDEBq4YA9e/aYfLy+ffvy+xd9tL5wlokuiQ8H5ssOHTqE0NBQg82+lStXomPHjhIfyBD9aaVKlTB06FCsXLkSdevW5esrMUlWoVDg1atX2LdvH/bv38+TJYy9Tnbu9NZXOp0OWq1WIpx99OgRD2QTHx7MNnft2oWnT5+muxZq1qyZRDALpM4zxXkkANSrVw8jR47EsmXLeMdOMYGBvf/ChQvYtGkT/v33X1nXzOYbrEsNWwsBaf6SCWdNmTMQpqO/5jFmXWssR48exdWrVyVJs87Ozvjxxx9Rq1YtiV/L6Ofk5GS4urpizJgxmDx5Mi+MwhIYRPHgw4cPMXLkSCQkJMhaozPhbLt27fhGoti1mQlnt27dihcvXljqz0TkEgkJCTwhEYBkTF++fDlGjBjBBQ2sGIHYNal27dqYNm0aVq1ahfr16/NkcdHuFAoFoqKicPbsWaxYsQLh4eESm8sM8X1t2rTBnDlz4OTkxNdAQFpSBxPOsqr4xIcLe+Zv3rzBlStX+DxRtM+ff/4Z48ePR9OmTWFlZcXjQKzQkLu7O8aPH4+FCxdi9uzZsLe3l4gO2Tir0+kQERGBX3/9lRfuE7sZZ4a+cLZLly68MJZ+/OjMmTNYuHCh7DkDYR6WiG3qdDoEBQXh6tWrkviRvb09pk+fjqpVq0rOk1GnBfaeypUrY9iwYViwYAGPbbL1v9gladWqVdiyZQsA422TwYSzX3zxBWrVqgUgba+LzTmZcHb9+vXQarVG+2fCMljKNsPDw3Hjxg3JGsjOzg5TpkxB9erVM7VNAJI9SBcXF3Tt2hUbNmxAsWLFuD8DUn0bs81du3bxxFk598KEs2z+IHa/Y9e5Y8cO+Pj4AJCu8YnsITw83OLHfPbsGU+YZWPmqFGjJEUqM0MsyFKxYkWMGzcO06dPByDtKMd+TklJwcSJE3Hv3j2TfSaQJpxlCbf6+5UAcPfuXaxfvx6HDh0CAPKbHyDsWR45ciTDIr/du3fnid36vofFDWvWrIlJkyZh/vz5aNiwIaytrfnahK2JmI3Onj0bf/zxBwDjbUZfONulSxcUKlSIX5P+XHPt2rW4fv06378gu8w+NmzYgAEDBmD27NkA5PkBMf7MbIwJF8QORc2aNYOrq6vJ18jiQe7u7pg8eTK6dOnCRS7snMx+9uzZwxO6TRGtiXH0qVOnclGD6J/1hbPR0dEUf/8AYfO0kydPplsUcMWKFejduzcXzCYnJ0ty0Njz7tu3L7799lvMmzePCxbSs8l//vkH27Ztw+XLl/n5jUHsHrZ69Wo0a9aMn1ucS6pUKpw4cYLnONE8M+fYuHEj5s6dCyA1X2LEiBF48uSJrHkbkGobjx49wuXLl3nMktlAhw4dsq1wGRtrIyMjcfr0ad7QIjNbFX3fvHnz0L17d8k9i/kkTDjL9uqJ7CE794QOHjyI69evG+wJzZ8/H3Xq1JGMt2IzCf28uEqVKmHEiBGYM2cOSpUqxfe4WYyTvf/QoUP44Ycf+DFM3ROqXbs2hg4dyotRimt0hULBhbNr1qzBu3fvaK75AcPijhkV+l25ciX69u3LBbOiLbGfvby80KFDB/z6668YPHgwSpYsKfFhYuzRz88P33//PS/eYuockAlnu3XrBkCadyQKZ5mAl2wz57FUbPPRo0e4ePGiQd7md999Z5BTrD/eiuJZILXQ1bhx4/D111/DwcFB4jvFtcoPP/zAY5vGzjf1hbN9+/ZF2bJl+fnFdToTzh4+fFjSKIMgiFRINEsQBGFBNm7cyBeFSUlJOHbsGNavX88DzsYgVlD6+eefsWLFCiQkJECn0yEuLo5PqADwzl+WWEh37doVkyZN4tfOJndKpRLh4eH47bff+PnlTKZIOJu7pPfMLGE3Op0OoaGh8PPz4xvRLEHi22+/zTJBgtkZm6QXLVoUAwYM4N3CROEsW8iyoPKcOXP4MUxNfGzSpAm8vb1JOJvLiEKwy5cv80qhllq0vXr1ClqtVnKsRo0a8aQtYxag4rWUKVMGn3/+OcaPHw83NzcDURYAvH//Htu3b+fVoo2FhLN5l2PHjuHp06cWPebbt295V1hGrVq1ePVmY4MjbLNDo9Hgiy++gLe3N++oKG7KAUBgYCB2797N78XYMSAr4Sw7Fwlns4esBLPMP3Tp0gXz588HIH9812q1vFKoKDxgm32WrsT99u1bzJ07F0+fPuX2xOYSN2/eBGB6wJOEs3kLS2723bhxA5cuXZJs9jHxX40aNTIsNqDvT62trVGqVCls3LgRffr0gbOzs+Ra2Wbcy5cvsXPnTt491FgyE86yYDgJZ/MGlloLxcbG4vbt25JNPltbW0ycONFgLZQeor3a29vj448/xpYtW1C5cmWDZHHm044dO8a7IMm5FxLO5j7i+H7v3j3ExcXJTtRJj1evXgFIsy+VSoXu3bun27kzI1jsx9bWFo0bN8bUqVPRqlUrAIbCWZVKBT8/P8yfPx9ardbohMf0hLNt27Yl4ex/nD179uDWrVsG3b9+/vln1KtXj4+XAPi4L8YogVQ/xsbzoUOHolixYgDSClqxz0ZGRuLEiRPYsmULr7JvDCSczX+w57pnzx48fvzYoBDGL7/8goYNG8Le3t7gc/rCRGdnZ3z22WdYsWIFWrZsyTsb6VcPj4iIwG+//YbDhw9LriErTBHOnj17loSzOQirJg9YJrapUCjw+vVrhIaGSvxP1apVeVcOY2ObDBsbG3zyySdYtWoVXF1dodVq0xXOLly4ECdOnDD6HCIknM17bNy4Ebt37wZgOdsMDQ2Fv7+/pBBVyZIlTbJNEZ1Oh1q1amHJkiWoXr06j3sBaWMuAPzyyy8mF6wUIeFs3mHLli0YO3asSfvn+oi2rNPp8O7dO/zzzz88tqnT6WBnZ4fatWtL5phZIdqEWq1G//798dNPPwFIjemIHZPVajViYmLw448/IjAwUJZdZiacZee6c+cONmzYQMLZD5hr167h/PnzBkV+586daxA/yqjIL/NHHTp0wOTJkzFgwADY2toaCAaVSiW0Wi0WL16Mc+fOATC9yC8JZ/MOGzduxI8//ggg1XeyPSJT/I2Yf/T06VNuY0xMwJ5riRIlJEWsTIXZj6urK7744gu0aNECtra26RbDWLduHRcomkJmwln9Im8knM15LOkD/vrrL1y+fFmyJ+Tk5IT58+dLuhQC4HuLAPh6nl1LgQIF0L17d2zevBnVqlXj80x9AdjFixexa9cuPHv2zKTrNFU4O27cOIPfEdmD/r66tbU1goOD0b17d95VzhSYTT148EDiz1QqFdRqNc/zsPRYyOIBISEhWLlyJRYsWIC1a9fi9evXWX6WhLN5BzEm+OjRIwCW9QMhISH8mECqzffq1cvAX2aE+H1wdXVF06ZNsWzZMpQrV86goYRY2GrFihX8vKbmbZJwNm+TW4V+9QXeDJ1OBy8vLwwaNAhz585FzZo1JfFGdr1KpRIXL17EtGnTABgv6hYh4Wze49SpU5LiJpaKu8fExEji7vXr1zcptinaaOHChdG9e3d8//33cHJykghnxdjmmjVr4OfnZ/L1knCWIMyHRLMEQRAWQj/golarER0djX379nEhWFaIAesZM2Zg1apVOHToELZv3w4gdXLFAhoKhQJeXl78Z3OxtrZG9+7dMXjwYH4tbNLEgsqrVq2SLORNhYSzuYP4zA4ePIht27YBsEwARqFI7cYVGBgo2WgoX748r9xsSlIiANjZ2eGjjz7C7NmzUbduXUmgjk30FQoF/vrrL/7dkJP4SMLZ3EW0y/Xr12Pw4MHYvHkzHj58CMD0RW56G12s0zdLugZSO3SzggPGItpXwYIF0bVrV3zzzTcGwllmo9evX8epU6ckQgdjIOFs3sPX1xfjx4/HzJkzZSfnp/d8AgIC+PjKft+6dWt4eHiYfHwW5FOr1ejTp49EOCsGBgHg5s2b+O233/hrxtonCWdzB2MFs507d5YIZk2pzC3CuiWJ5weAyMhIAKZV/DYGFxcXNGjQADY2NhKxVkpKCvbu3Yt79+7JmnOScDb3OXHiBOLj4y262RcWFsY70jEaNmxo8nwTSFtzTZ8+Hb1795aMtexYCoUCjx8/xvr16/H+/Xv+OWMg4WzeZf369Vi+fDkAy62FQkNDce/ePUmyeNGiRWUniycnJ8PLywvLli1D48aNodFo0k0s27x5MzZs2MDvxVRIOJt76K+DRowYgc2bNyM+Pl7WxpV+d+3ExETcvn0bQFrxqeTkZHz00UewtbU16djsOpVKJcqWLWtgM/qJu2fOnOEiBlPOkZ5wlvlEEs7mLhERERY/5vPnzwGk+WG1Wo1BgwZxYZWxsLjlpEmT4O3tjQoVKvDXWbV8llzDEi1N8fvpCWednZ0layA2tpNwNneIiYmx2LF0Oh2SkpIkSWtJSUmwtrbG2LFjUadOnSyPoS+ebdCgAb788kv07NkTzs7OkrGWrceDgoKwa9cuk9cmJJzNe2zYsAGTJk3CypUrJWJTU/xOemuB0NBQAKnrdZaI3apVKxQuXFj2tTJx4qZNm7hwVkzgUSqVSEhIwM6dO7nPNhUSzuYdNm3ahHnz5mH69Ok4ePAgANNtk9meSEJCAoBU22THatOmDYoXLy7rOtnzr1atGr7//nse22SIyWVz587FvXv3ZJ0HIOFsXsDX1xezZ8/GjRs38Msvv/A9IVNgz46hUCiQmJjIfSnzJy1atOACBnPo2rUrF87qCxSB1L2oEydOcMGuqWQknBVjvSSczTmuXr3K9xctxevXr7l9MNtt2rSpSUV+xT2dihUrol+/fhgzZgzs7e0lgkH2nrdv32Lz5s18jmssJJzNO4j7QjY2NlAoFNi4cSMXARiDGL+ZNGkSOnTowBPOnZycJO+ztbXlr8nNBxKFs1999RUaNmwIIE38zfxmZGQkzwcydZzNquMsCWdzHjG/w1IwARg7pkKhQOfOnVGjRg2jPi9ei06nQ82aNTF79mw0atRIssctCmcPHz7M58ymkJVwVmwOcPz4cRLO5gDp7auzfY4mTZrIyslgNsVi72xcT05OhrOzM6pUqSJ5nyVgezUvXrzAtGnTsGfPHrx48QJ///03bty4ASBrH0rC2dxHP+eD5cYB8vyAfifOxMRESWwxOTkZSUlJqF+/vsl7QiJly5bFxo0bUbFiRUnOhfjzzp07cfz4cQDy8jZJOJv3YD7OkmPUmzdv+DGBVL/UrVs3o0XdQJp9OTg4oE6dOrwIq2gzoj87ffq0yc14REg4m3dYv349Ro8ejfXr1+PatWsALJNTzPaZNRoNn8d98skncHd3l32ttra26NChAxYtWiQRzorX8Pz5cxw8eJAXMDIWEs4ShPmQaJYgCMICpBdwYROdDh06oFevXlkeQ5y4zJw5E7t27QKQOkHbvn07tm7dypPV9Cc6lgq6FChQAO3bt0e9evX4NQFpk7a7d++anZBEwtmcRQy+sOSdrVu3Yt++fQBMX+Smt4hgi1uNRsOP1bZtW97pQw5KpRIVK1bE/PnzUbduXYlYnG34hYWF4fjx47xrorGTexLO5j76QUGWbHD48GFs2bIFDx48AGC8bxM3/C5fvsyDuKLPVCqVcHV1NatCLsPBwQEtWrTA2LFj4ezszLtzMz+m1WqxYcMG3L171+SFJwln8w5i9/hr165h1qxZJicLirZ57tw5bpPMRtlGnKOjIypVqsRfMxXR/jp37oxPP/0UJUqU4McT7ebQoUPw9fUFYNr8wRjhLNuQJuGsZWB/V19fX8k8Mzk5mT/Xbt26YcGCBQDME8yy8+n/B6R2+Hzz5o1F/QwTjQ8fPpxXKGX+UqPRIDk5GVevXgUg7ztBwtncw9fXF2PHjsXo0aORkJAga0MlPVtj1b3Fzd2WLVvKClqzY6hUKnz55Zfo27dvhsLZS5cuYdGiRfxzcooNkHA2b+Dr64uffvoJy5cvx7p16wBIE1aMIb1kcSYyEJPFW7dujdKlS8u6TlYMo2jRopgzZw4++ugjye/FZPFly5aZNdaScDbnEddBzCbDwsKwf/9+bN++nQtnjUV8Zv7+/lAoFLCyskJsbKzk91WqVMEnn3xi9vUXKFAA06ZNQ+vWrSXHZ9ccFBSE48ePcxGFnDU6E862a9eOOs7mMmvWrEH//v3NEtqJNpCcnIy4uDj8/fff/DU2f9XvMGsMzF8qFAp4e3tjyJAhvJiGGENSKBR4+vQpfH19ER0dLfl9VugLZ2fPni0RzooVokk4m7Ns3LgRS5YsQXBwsEWOp1AoEBYWhjt37khed3R05HZlyrEYZcqUwYABAzB06FC4ubkZxB1TUlLg5+eHI0eOcPs0FhLO5h3E7l8vXrzAqlWreMKgsWt0MX60a9cubttibJN1TzK3ew3zXWXLlsWqVat4bJOdn53v+vXruHnzJv+3qZBwNvfZuHEj5s6dy/89ZcoU/PnnnwBMs002Rv/666+8qBTbKxHno+XKlQMgvxsJe/4VK1bEzJkzUaJECe7L2J6rUqlEREQEDh48iJiYGNn2QsLZ3EOMuQOpexyLFy/mibnGIPrMn376CbNnz0ZKSgqsra153IU9TxcXFwDmdclhdta1a1fMmDEDAAyKqUZERGDfvn2IjIw0WZjOyKzjLAlnc45169bB29sbW7duhb+/P3/d3IRcJigThVWffPIJt1FjEX2Vp6cnPvvsM0yePJkLZ5nPZjEvPz8/nD17lherNBYSzuY++vlHYqdrNh5nhegvZ86cycWAX375JW7fvs2fKXteNjY2km7vcmH2U6BAAfj4+KBkyZIGflOr1WLv3r14/vy5rH0tEs7mHdatW4du3brxvWc5iM+E/fzPP/8ASFu/6HQ6NG7cmK97TUGcZ37zzTdo0aIF3+MGpMUqV6xYwddzppCZcFbscseEs2PHjgVA88zsILNC1F26dMGvv/4KQP78MCoqCgAkawgmyrX0s1QoFLh79y66dOmCixcvIjIyEmq1GnFxcViyZAlCQ0ON8qEknM099PeE5s2bh/DwcGzbto03CTFF0CeuwUNCQvj+DMvlFePtLA9SLsnJyXBzc8O6deskHWfF9c6bN29w6tQpk4tvknA2b7JhwwYMHjxY0kHYHFG3TqeDVqvlzabEQr8NGjSAvb297GstXLgwfv/9d3z88cfpdpxVKBQ4dOgQ9u7dy/9tKiSczX3EnOKrV69iw4YNEuGsMYhrouPHj/MilcxvsbWtnZ0dL55q7nNs0qQJZs2aBUdHx3TXQUeOHOHFreQU+yXhLEHIg0SzBEEQZpJVwGXx4sUAsp7gsImcj48Pdu7cCaVSCY1GAyA1SZwlHiqVSr4AFkU3lqJ69eo8aZZdF7u2ixcv4syZM2afIyPhrFjFjwlnz507Z/b58iv6wkSWvPPvv/9iy5Yt2LNnDwB5yTs7duzggWqW1CWejyVImDvZLlKkCGbMmIHq1atLFrbsmi9evIjTp0/z140lPeFs06ZN+X2ScDb7yKhzorW1NRITE7F3714eUDAG0S6/+eYbjB49GgcOHAAAyQYu29xlVSPNLTbg4OCANm3aYODAgXBwcOALTLapEhcXh59++okH7UyBhLO5j2ibVlZWUKvVuHTpEiZMmGC0HxBtc+rUqRgxYgS2b9/Og8vi+2xtbVG0aFEA8rt5Mr+mUqnw+eefo2vXrnBzc+P2J4oaTp8+zSv0mkJWwlkxaZyEs5Zh+/btPJGMVbhjxSOKFCkiKcxirl8rVaoUihcvLiloAgDv3r3D69evTRIMZgWzFRsbG4wbNw4ODg78vtimMptnyP1OGCOcnTx5Mg+qEuYjJj5eunQJX375JV+/mLLZx56V+GzYuof5GHd3d7OSxVmSglKpxJAhQ9C1a1eepMZskfnMQ4cO4Y8//gAgv9gACWdzF9E2lUol5s+fj7Vr1wKARByQGWKy+IIFC3ji5Pv373kxA+avSpYsCUD+Op3ZTuHChTFr1ixUq1ZNMv8TO4D99ddfeP/+vWz/TMLZnEN/HcRsUq1Ww9/fH9u2bcPatWuN/juL/tLHxweTJ0/G+fPnAUg7MKSkpPCNZ0uM4wUKFMD//vc/NG7cmF8HkPZdOnbsGLZt2ya5DmNITzjbtm1bEs7mEr6+vli8eDH+/fdfzJo1C0+ePDH5GKwoCgDEx8dDpVLB1taWrx3Y827cuDEvbmUq+uuTvn37GhQjYusUPz8/HqM11vezz+sLZ52cnCTFg0g4m7OwrombN2/Gjh078OrVK5OPIRbC0Gq1ANKetZj41bp1a94pRC5FixZFjx49MGjQIEnHWTa2JyUlYfPmzVycaIqvJuFs7qMfP0pMTMSDBw/www8/8ISwrBDH9OnTp2PGjBlYuHAh3r9/j4IFC/L3sNgmS4QxJwbA1vc1atTA/PnzeQKPaJsxMTH4+eef8ebNG9nrchLO5h76+5asQNnkyZN5vCUr9Oebv/zyC4YMGYKoqCgeY2d+09bWlvtLcwu66XQ6VK1aFT/++CNsbW0la2gASExMxLFjxxAREWGWvZBwNufRt0uVSoW4uDicO3cOfn5+Rh1DtMsZM2Zg/fr1OHLkCFasWAGdTocCBQrw+CkAeHl5ATDfLhl9+vThIhfmN4FUv/ro0SMuwpB7PhLO5i4bN27E/PnzAQB//PEHtm3bxuM/chJy/fz8eCJuZGQkgDQhg7u7u0GhNDk4Ozujffv2GDNmDPeZ4ngeFxeHdevW4enTpyZ3WCLhbO6RUf5RUlISunXrxn1NVn9j9nymTJmCnTt3QqFQwNraGpGRkRgyZAhu3LgBKysrPjeztraWFEczBybc9vDwwPz583mhFmYbbB9x69atsrt0k3A29xH95g8//IAtW7aYfAzRb4aFhfGfmQCMjYGVK1dGgwYNZF8rs+vSpUtj9OjRqF+/PjQajaSRBJtzLly4UFbH8aw6zorC2RMnTpBwNhvQ959A2pjVpUsXbq9yClEz8RcrGCn6yqSkJMTFxVms4Yl4zpcvX/JzMt+qVqsRFhbGixMaYz8knM15MtoTUqlUePbsGdavX8+L/BpjO6K/nDVrFkaNGoX79+/z3GIgzZ/Y2dnxa5ALsxk3NzcsXboUpUqVMlgD6XQ67Nu3j+/pm3I+Es7mLXx9ffHjjz8iJiYG+/btw5o1awDIF3U/f/4cCoUCGo2GFxtgNly1alU0b97crOtlMfGVK1caxHVYrse7d+9w5swZs3J9STibe+jH3ePj43HmzBn8/PPPvMFSVoh+c9q0afjf//4HX19faLVaSdyddY0vXrw4AMs0MPvkk08wceJE2NnZSdbparUaERERmDt3LiIiIkyej5BwliDkQ6JZgiAIM8hKMCsn4OLi4sIrM4kT7ZcvXyIqKoofHwDvxmjOZp8IO27v3r3RsWNHvohgEzalUol79+5J3isXJpz97LPPUKRIER7E0e8YuWLFChLcyCAjYSLb+Lh79y5WrFhhtFBEfxHh4+MDX19fPH/+nIv5kpKSkJKSAkdHR95ZyRKLiPLly2PixIkoV64ct39mkwCwdOlSWZ3i9IWzAwYMoI6z2UxGdsk2EFhCtK2tLberzBB95MyZM7F//37ExcVh8+bN2LJlC969ewcgbVPQxsaGC2gtgbu7Ozp27IimTZtKKu+yYHNQUBBfqJt6ThLO5h76tilu1hYpUsSorob61ZtZd+8lS5Zg+/btfNwWi0ZYAlG4PWzYMDRs2JDbiljp9PLlyyZV7xcxpuMsCWctQ3R0NB4/fsw3NcS/MQC8fv0amzdv5kll5ga4rK2tuWiQ2SgrArB06VJER0dbdLOPfUdKliwJW1tbiUiRjb2sU55c+vbty7/PYsKcTqeDlZUVXrx4ge+//55vNhLySa/YwJkzZzBw4ECJaCYz9Ath9O/fHzt37gSQmjQIpNpmUlISbG1tUbhwYQDy55vMnymVSowdOxYdO3bk9sf8qU6nQ3x8PC5cuACtVmvyd4yEs7lPekm5QGriy9mzZ406hjjn/O677/D7779jyJAhePHiBbdDZucajYYLus1ZpzPbKVq0KBYvXgxPT0+DDmBJSUk4fvy42ZtwJJzNfjJbBzFevHiB2NhYWFlZZXk8fQHDjh078PDhQ6xfvx6XL1/m6wb2HJmAignDzKV06dIYNmyYRJwodmT4888/8fLlS5OPm5FwlvlEEs7mDGICj5WVFa5du4YZM2bwzkjGICYaTp06FUuWLEFERAS3FdFfiUUr5CAmbXTp0gU9e/bk4gj9QhhHjhzBiRMnTD6HvnB2zpw5JJzNJfS7Jv7222/YunUrAgMDjT6GaJ+//PILDh06hOjoaMTGxiIyMlIiShETJ8zB3d0dnTp1wqeffppu4TWtVotZs2YhMDDQ5LktCWdzj/TiR+x51K9fH1WrVs3yGPrxo927dwNIfVZz585FWFgY7OzsJJ02Y2NjLbJWYLbWqFEjjBo1CjY2Nga2GRoaiv3795sVTyXhbM6T3r4lS97v2LEjateuneUxxAK3bL6pVqtx//59DBkyBElJSShSpAi3y7i4OERFRVnkubHnX6tWLV4IVl8EFhQUhF9++cUgVmYqJJzNOdKzS+bLOnbsiKFDh2Z5DHFMmzFjBnbt2gUACA8Px/bt27F06VKDGJ8pxVKMQalUolOnTpJkbjbnVCgUuHXrFoKCgvj1yiEz4Sy7HxLOWh79Ir9xcXHYuXMnfvvtN6MLkOrHNseNG4e//voLAHghVbHIL5trmouTkxM6duwIb29vWFtbG4zn79+/x7x58xATEyO7yC8JZ3OOrPKP2Nho7Bh44cIFXhBSo9EgMTERarUa0dHROH/+PO+MmJKSgqdPn3IfZgnYHJaJDUSBIpubPHjwwCyhrr5w1tvbmx9fnEMz4ay3tzeioqIsPj7kR0RbtbW1BQDMnj0bv/32m9HHEP3mxIkT0aFDBzx79gwAYG9vL9lPt7OzMypuagylS5fGhAkTeNEX0VYAIDQ0lDeTMHXul5VwVixAeOLECYwbN47/juaZ5pHeGp3N1Tp37myWYBYA3/9hAkV2bFbg1NL76OycderUQbdu3SQNVpKTkxETE8O7Iht7PySczTky2xNi87QXL17wjodZoR8/2rZtG548eYJFixbh4cOHKFOmjOT9bF/d3PgRO2fp0qXh4+MDT09Pg7kmAPz666948+aNyd8BEs7mDfQL/QYFBWH79u1YsmQJANNF3T4+Phg5ciQX9rPPs3HQzs7O7OcnxsQXLlyImjVrcnsXY47Hjh3jzXjkQsLZnCejuHtSUhK8vLx4Xnpm6PvNvXv3Ijk5GX/88QdWrFiBiIgIqFQqSRfYhIQEi+Xo2NjYoGXLlujRowcvZihe15s3b3D58mUAps83SThLEPIg0SxBEIRMfH19DSZnbNLRtWtXkwMubDIyYcIE/O9//+OvsYV0ev+FhoZaLOkRSOv6BaRuUrq4uPCJEru/s2fPIioqyiLBHjc3NwwbNgytW7fmC2l2DdbW1khJScG///6LUqVKmX2u/ERmwRcxAbpWrVpGdfNIbxEBpCbvLFu2DDdv3oS1tbVkQWjJJH+FQoEaNWqgV69ecHNzk2ymiKJBQP4iAqCOs9lNZnapXyH3p59+4p/JDDEJl3XoVqvVCAwMxLZt23gFUHachIQEJCYmWnTxV6JECfTs2ROOjo6SRadCocDr16+xY8cOAPJEEySczXkyss3k5GR07doVK1asAGB89eZJkyZx27S2tgaQumF46NAh2NjYcJu1s7OzWAEMZjdWVlaYPXs2KlSoYFC1DAB+//13REREyPo+GCOcZYIwEs7Kx8HBAYMHD0a/fv0kHYkUCgXvknnkyBFs3rwZ169fByA/QUqn00Gj0eCzzz6DlZWVpJgJkFq8hXUisaQP1el0KF68OD755BPJaykpKQgPD0d8fLzsY7Nrr1u3LpydnSXCcbVajcTERDg7O2PRokX8+0nII7NiAy4uLhJRWEbozzf379/Pfz506BAf/9hz1RfcyEUUYE2bNg2NGjXiwWL2e51OhwMHDsDPz0/WGigr4axCoSDhbDaRWbJ4p06d0KxZsyyPIY6dPj4+2L59O9RqNUJCQjB48GAEBgaiTJkyfINYq9Xy7iHmwjYPvby8sHDhQjg4OKRbifTnn39GbGysWWt0Es5mH1mtg9j3vEuXLpg8ebJRxxT95Y4dO7i/uHLlCjZu3Ig7d+4AgGSDGICk4rg5KBQK1KxZEy1btoSDg4MkWQcAnjx5wjuTmuqr0xPOtmvXjoSzOYS+jbK/9Y0bN4wWgYqxGh8fH+zbtw8bN27EunXrEBoaKumqAaQWSgPMKyTEfDAA9OvXD506deKJZGIhjPfv3/N5szm2ScLZ3EHfPtm65bfffjO6KJR+8bVff/0Va9aswblz55CQkMBF3Cyxply5cvzf5lKkSBH07NkTzZs3Nyi8plKpEBYWhnPnzvHXTIGEszlPVvEjY2Oboj3u3LkTKpUKarUaMTExOHfuHLZv347Y2Fju45KSknj3bkuh0WjQtGlTNGjQQNKRgSUY+/n5SZJz5Z6DhLM5Q1ZCm0WLFgHIetxlz4UJZpnNqdVq3LlzB6NGjUJYWJhk/zIxMdFiSeLsOE2bNsXgwYMle05sz9Xf3x/R0dFmn4uEs9mPpeySPZf58+dzwSwTYIWFheHs2bN4+/atRHzFOtJb8pmVLFkSbdu25fFGsZPN7du3JXFauWQknBVzDphw9vDhw2afL7+TUZFf5tdYd+3MSK/I7/v37+Hr64vdu3fzjonsPXZ2dnystQQeHh7o3LkzGjduLCksxI7//PlzLkSTW+RXrnCWMJ701uTsbyxX8FWuXDl8/fXXcHNzQ2JiIo836o91QGo3d0sXGGUiM7Grp7he9/Pzw6VLl8w6hxhHnzZtGoYPHw4gzf7Z3NbW1hb379/HiBEjaJ5pJvq2mpiYyOOOd+/eNeoY+ntChw4dQkREBMaOHYtXr17B2dlZsg/k6urKxa3motPpUKFCBUybNo3H3NkegFKpRGxsLP744w9ER0fLWgdlJpxl+7vs5+PHj5Nw1gJs2LDBYJ8SSH3WrVu3xoIFCwBI9z1Mhc33XF1dAYAXLVcoFEhISMCxY8f4eyyJh4cH2rdvz/Op2DlVKhXu3r1rtOiSIUc4Gx4ebtF7+q9j7J5Q586dMWXKFKOOKRYPYvlHiYmJ8PPzw08//cQbjTAfwooMGLNHbyxVq1ZFjx49YG9vb5BL8vr1a/j7+0uuwVjMFc6S3zSP9Ar96nQ6BAcHG13gXn9M37FjB4KCgvDzzz/j+vXrXMzHYE0D2FgpF3bOQoUKYfr06Shbtiy3B3F/f926dWbvIZJwNufILO7erVs3/jtj4+7Tp0+X5BS/efMGBw8exIULFyR5TQkJCUhISLDoGrZgwYJo164dF/mya0pOTkZERITJxS9ESDhLEKZDolmCIAgZ+Pr6SirsiJVka9asyROhTQlYiwu54cOH48svv5QEzIC0yR4715UrVywuQmGTpfr166NQoUKS5C+lUon4+HiLBMvZwjk8PBxHjhyRLIQ0Gg1PVNqxY4dRHSeJVIwRJrLkHbYRbewiYtq0adi5cyff3IiLi8OZM2dw5swZ/vxYcoRcIVZG2NjYoE2bNqhRowa/JjaBT0xMxP79+2UHrfWFs9Rx1vIYY5dyK+TeunWLd/FkCZNKpRJPnjzhnZSZH33//j0SExMtXj22UaNGGD16NIC0LmNsw+/OnTt4/fq17GNnJZwVq/5fuXIFv//+O1/YE6aRXjBQtE2W8GisbT59+pRXBVOpVNBqtfy4fn5+iI+P55sbgYGBePTokcXuRazQ99VXX8HNzU1StQxIrZIbHx8vO+CTmXAWSPWtonD266+/5lV5CePx8vLC559/jk8//VQinGXf/ZSUFBw/fhy+vr5mCWeZHZQsWRI2NjYGRQACAgKwadMmnihkaR9jb28PIG2OCxj/XUsP9vd5/vw5Bg4ciIiICD5H0Gg00Gq1cHZ2xpYtW3giPCGPrOabq1atAmD8fHPy5MkGxQYmTpyIPXv2wMbGBgqFAmq1Gvb29hYTOzOfqVKpMG/ePJQtW1YSLGa+e/fu3UhISJC1+ZaZcJbdOwlnLUtWc86FCxcCMD4pd/bs2QbJ4sHBwRgzZgwCAwMlNm6JxG0GSwSqXr06hg8fDisrK8mYrlAoEBgYyM9pzhosPeEsu18SzsrDlHWQmPhoDBs2bOD+kiXJJCcn48KFC5KuIEqlkifnWmqjT6fTwcbGBv369eOb0OJ3IzExEVu2bJEtnNAXzg4YMCBL4ez27dvx9OlTi9xffiWjBB42po8ZM8ao47BxkyVHsH+vXr0a+/fvR9GiRQGk2bql7FMca7/88kuDQhjMRjdt2oQ7d+6YbZsknM1Z0rNPVkiyffv26NChQ5bHEOd13333HRcoPn36FKtWrcK9e/d4km9SUhJSUlJ4DNxSRa5Kly6NPn368KKAzC5TUlIQGxvLRS9y4lamCmcXLVpEwlmZZDWmmxo/evToEU6ePMn9GJs/RERESIpQsBgA85uWpGzZsujatSv3/WLy7/nz53HhwgWzzyEKZ2vWrAlA2pkHSBXO7tu3DytXruQxVsJ4soptmiq0CQgIQFBQEPcvzD4UCgXevXsn8ZEsdgSY38lGxNbWFp988gk8PT0lIuuUlBTcuXPH7G4hDCacrVevXrrXr1AosGvXLnz99dcALDcu5AdMWQcZ+3d1cHBAoUKFeMydjW+vXr3ihQbYnI0lxlrqmbHjdunSBU2bNpXEMtn37vz583wuYQ5MODtixAgUK1bMQDgOpHZoXLp0KY4dO2bWufIzWRX5NTYhlz1/tpfOEnKfPn2KrVu38vWqmJBrycLoQOp43r17d9jb20vmfgAQGBjIi2KbU+RXjnCWMI5NmzYZiLeZj+nevTsXfJnaIdHDwwNdu3bF0KFD+R5TeusNlUqFiIgI7N+/P1vi0XXr1kXv3r0BpO1vs7meJcRYKpWKxysHDx4Me3t7yR6XWq1GXFwcXF1d4ePjQ/NMM8jIb2q1WnTv3h1Lly416jjs+bDi6AqFAtbW1vD398fw4cMRHh4OtVrN7d2Swi8W36levTpmz54NAAbFKv39/bF161YA8mLupnScPX78OMaOHct/RwIw07hy5QrPMbK2tub+EwDvSseEpeZ899kauW7dupJ9E/a8WLwxO4QozZo1w6effio5Z3JyMoKDg2UJwbISzopFri5cuIDRo0eTcNZITNkTEsd2Y1i7di0vHsTy0RITE3Hr1i28fv1aIi5lHYIt6U8cHBzQrl07eHl5AUjz40qlEmFhYWbNNeUIZ9euXYvw8HBan5tBVqLub7/91qjj6Iu6mY+5e/cuFi5cyDvO6ou6LVXoF0hdC/Xo0QMuLi4Gou63b9/yOLg53wkSzmY/2ZFTvHv3bgBpcyyWW8EKvbDX2Brd0j6lbt266NOnD4C0nGIWe7948SIePnwo+9jpCWdZ53H9nOLbt29j69at2Ldvn0ERJYLIL9CMgSAIwkQCAgLw22+/AZBWgWP4+/vj6NGjsgR8YgBsxIgRXDjLJtDiZJoFBQ8cOIB3796ZdU/6JCcnw8HBAfXr1+fXBaRVEnr69KlZk3o2IXv27Bn69u2LkJAQfj9qtRparRZOTk7YvHkzCRlMwJTgi6nJO2/fvsXZs2cBpAUWVSoVYmJicPv2bUk13Pj4eLx//96ik2udTgcPDw+MHz8eNjY2fBHBgtaBgYHw8/Pj7zUVfeGst7c3GjduDEBahZQJZ/fs2YONGzfyQBORMZnZpVghV26CRI0aNbg9x8fH880MJuBmsE5c4qLXUvcHAB06dECdOnX4a+zenj17xjveykUUzg4aNAh9+vThm9FAmqBBrVbj4sWL2L59u8UrAf/XSc82WTJYp06dZNlm8eLFsWjRIlSoUIF3yGA+l30nRIF1REQEAMt18RQ7NxUrVkzymlKpRFBQEE/IlYu+cPbHH3+Era0t38hnwllbW1uEh4fj+++/N7oaIZFGsWLF0Ldv32wXzgJA9erVDQJ2YqIs87fpzYHNwd3dHUBaoiVDjiiLfU+fP3+OIUOGIDg4mH+vmWDWyckJW7ZsMahqSZiGpeebN2/e5AmvSqUy3WIDOp2OFxswd3wVYWuuggULwtvbmwsMgLS54L179/hcQw6mdpwdOHAg7t+/b/FiH/kBSyflvnnzBu/fv4etra1BsnhsbKyBoCY4OBiA5ZLFWdGiJk2aGIzpOp0OT58+xaFDh/h7zYEJZ5n4SCxuJQpnhw8fTsLZLJArmDXWx3Tt2hUNGzbk6w722aSkJD6vZPPPW7du4fnz5xa7N3ZcV1dXTJ48GY6OjtxW2PwhODjYrDWJOJepWbMm+vXrh86dO0tEG6Jwdv369fjjjz8snnScXzBlTDeGVatW8eQIdkwAWLJkicGanCWtWWIjWkw6nDt3Li+Ewc7HCh+y+JEcP22McJaN7Uw4aylBT34lK/tcsmQJAOMLYUybNo13jmcJCo8fP8aSJUsQExMjSVpgY50lk1vq1KnDRVf6HUKuXbvG1+lyzpmVcFZMkjhz5gwWLlzIRZmEcWQW2+zatausMb1ChQqYO3cuypUrx4tUMbvQn28lJCRwn2Lp2Gb79u150pe+kIGJIc09j0ajwUcffYSJEyeicuXK/HU2z1Sr1Xj27BlOnz6NqKgos8+Zn9C3TbZfY45tenl5YezYsWjfvr2keInon5jNpqSkSIoHWpL69etzcSKze+bDWVzAEn7aw8MDq1evRo0aNSSiS3a+lJQUnDp1Cm/evDH7XPkFX19fA7tkf9tu3bqZbJfsmYwePRpDhw5FgQIFAKQVvxXjmOy/58+fIzw83GJjuVhMcMCAAShcuDC/Nvb6nTt3eDdHc3FycuIFFZnds/koE4W8e/cOlSpVMvtc+RFLJ+T+/fffXCyg0Wj45+7fv8/j9syPRUREZChelAOz8VatWmHIkCEA0mI6bG7r5+eH0NBQ2d+H9ISzBQsWBJD+XHPdunX4+++/KVHcCPbv34+5c+cCSLUdMR5na2vL501ycXd3R5cuXTBixAg4OzsbJPiLY+yDBw+4vVvq2bFjV6hQAUDaPpBYAMDc86WkpMDKygr+/v7o2bOnpNCMmH+0adMmVKxYUfZ58jtZ+U32O2PXKkeOHOHF0TUaDRITE6FWq/HkyRNeuJ8d699//0VERITFcpDYcZo2bYq+fftKrpuN6azgtdxzmiKcPXHiBL788kv+O8J4ihcvjs8//xxA6ppZFFgnJyfj0qVLmDFjBoKDgy0iSvbw8ODrLXFf+9y5c9i+fTsAyxWvBNJ8I+tSx47N7lNuAX994WybNm0kOR7Jyclc0Hbz5k3Ex8ebdR/5AWP3hOR2j69Xrx5q164NKysr7ltYd+zIyEj+/HQ6HR48eICwsDCL+5Ny5crxju7ifEWpVMLf3x/v37+XfWx94ezgwYPRtm1bAOBrSVE4u3HjRvj6+lKhAZlYWtS9adMmLupmzykpKQn37983KPTL7MSSz87GxgZt27Y16OipVCoRFRWFHTt28H+bQ3rCWXZMUTi7evVqBAQEkDDRBLIrp3j+/PlwcnKSNIRSKBSScY3ZyaVLl/g5LAHzaZ999hmaNm3KX2Mx2/fv35sddxeFs126dMGwYcNQokQJfi62Tler1bhx4wYOHTqEuLg4826MID5QaJVFEARhIl5eXpg5cybKly/PJxZsMqVWqxEVFYXZs2fj+PHjsiYYxghngbRA3dWrV3nyo6WSctnCgU2g2ASUTTitrKxkT+pFIcPQoUO5kIF1YmAB661bt5KQwQTE4Iv+RrS5yTs6nQ7u7u7YvHkzKlasyBO6mO0zu2MJXgB4h08xSGIO7HyVKlVC7969JZs1SUlJvHoae6/cc4jC2VGjRqFevXqS9+h0OlhZWSE4OBinTp2ixa0RZGSXbJND3y5ZcNkYRLEeS+JlG31ihW9mJzqdjifvWCo4yO6vQIECqFKliuQ1FkRmm33mLKqZeMjBwQFNmjTh4wu7R5Yg7+joiP/973+ws7OTfa78Rma2qd+JzhS7UavVqFu3LqZOnYpy5cpJkh71k8uSkpKwc+dOREVFWdyveHp6wtvbGwAklVUBWKRjNrNNIDVQr9/5kXUmd3Nzw8qVK8k2ZZITwlkxsYYlDbC5Ltv027JlC5YvXw7AMtWO2RxCFPKw70CpUqXg4eFh0vHYtb548UIimKV5puXJLGgtd7OvTJky+Pbbb1G6dGk+h0yv2ACQ2pWVicIsBTvPRx99BAcHB8m1q1QqvHjxgieom5tcBqQKZ9mGk+iftVotbG1t8f79e4wePRqJiYmUXGYClk7KBYBChQrhiy++QLdu3bhwVvwssx32bM+fPw/A8snilStXRqdOnQAYJj7qdywxBwcHByxevBjNmzc3+J1YjZQKCGVORskR4lxTrr9MSkqCq6srfv75Zy6cZeO+mCDOjqlSqXgleEtt9DHBRNGiRfm8QUxUf/bsGa5cuWLWOfSTJJo1a8YrUIvXAaTGqbp06WLRytT5BUuLunU6HWrWrIkqVapwHyx+lm1Es38/e/ZMIjIwFxYPcHNzQ7t27aBWq/lrbCP6+PHj/L1y0BfOzpo1C87OzpLvlyicHTVqFC9ER5iGpbsmAqnrDCBtLGW+MzQ0FFFRUZJY0tWrV/nxLQE7dufOnXlijVh4DQAf0+XGBvSFs507d4ajoyM/lyjOOHv2LHx8fODv72/ObeUb1q9fn+GY3qJFC0ls0lh7ZDbRvHlzTJgwAWXKlJFUvRffJyaLA5aNbbLrqF+/PlQqFZ9jsnOcO3cOgHn7Tyz+ZWNjAxcXF4PEXlao09HREfPnz4erq6vsc+U3fv/9dwPbBFLtplGjRmbZZs2aNdG/f3+0a9eO+xc2rurPPx8/fsznnJYW2fTq1Qtubm6SDt0s1p+YmGh2PJXZdlhYmMQ2dTodjyc5Oztjx44dkmKWRMb4+vrihx9+AJC2NgdS/6ZVqlTB5MmTAZg2hovr7oEDB2LIkCGSTpfiviH77/79+7h165ZFY+7iHnqBAgUk++dqtRrv37+3yHqZ/c2Cg4OxY8cOSddJtVqNhIQEODs7Y8uWLbzbE2E82ZGQ26BBA0yfPh1AqmhHTJ4Wi0qp1WqEhYVZtMiv+P3o0aMHqlWrxn/H7uvff//FixcvzPo+iMLZoUOHolevXlzAzs7F5hKnTp3Czp07qchvFuh0Ori6uvJCeaLN6XQ6xMXFYe3atdiwYQMA+fsyBQsWzFA4C6StP86fP49t27ZJXjMXdj8NGjSAu7u7pCghkNZp1hL5R8OHD8+wkCrtC5lHduwJlStXDoMHD4aVlRUSExP5fFP0aYz4+PhsEUbZ29vjo48+kvhsZosnTpzgeR5y0RfOtmzZkn8HgLQxwNraGkePHuVFtgjj8fT0xOjRo9GvXz8AaTE5IG0MvnTpEmbPnm0R4Wzjxo353okoRlEoFDh8+DDu3btn9j2lR9u2bWFraysZI4C0fA85azBm6yEhIXxewtBoNHy+efDgQRQpUsScy88XGJMbpy9GNGWNXqNGDXz77beoWrUq98P6e0LsnKwTMTuPJWA21qBBA3z00UeS3KeUlBTcv3/f7OJ8Yoyqbt263O7FtR7bA9JoNOjatSsVGpBBdoi6GzdujKZNm8LW1pavXZVKJRISEhAZGcnfx2wlICDA4s+uaNGiGDduHI9BAqk2o1KpEBgYaLEiaJUqVUL//v3x2WefAYBkXGfC2R07dsDX19diedP/dTZs2JCh32zfvr1ZOcVdunTB9OnTYW9vn64/FOPubCy0dE6xUqlE9erV+c9MZwKA76WbG3dnOcWVKlUyKGDAcoodHBwwdepUSQMBgshP0IyBIAjCBNgEt3Xr1hg/fjxKlSolSWJgCflRUVH44YcfcOTIkWwRzjJUKhVCQ0MxY8YMREdHW6zrFzuPWIGNwZLN5B43vc5fJGQwHzbJ3rBhg2QjWlxEtGzZkidImLKIYEHpUqVKYcmSJShfvny6VXXFzQ0mTEzPhuTCrrd27doA0jbB2TkePnwIwDKLCCA1OV5MPmcb0YmJiXB2dsaSJUvg5uYm+1z5iT179qSbIKH/TE2tqixWttcXzopVt4G0RIZjx44ZBHzNhV1Dt27d4OzszAN57D7Z+czZXGQbe/7+/hg9ejSioqJ48F3c8Nu2bRuv1EtkzcmTJ7ltWllZGfgP/QRFU2HC2W+//VYinBU3M9i4HRAQwIN0lkoYB1Jtp2zZsrCzs5MIGYBUv5mYmGjW3EG0zU8//RTv37/ntimO7b6+vmSbZpLdwllmF1WqVEGjRo0ApPpOcV6qUCjg6+trdoIGg43hrDOIeCx7e3uTj8fmmf369aN5ZjaSngCMzZU6d+4sa7MPABwdHdGqVSuMGDECJUqUkNidKF5QqVTQarX4448/ePdZS1KiRAmMHDmS34Poq1+9esWvSS5isYHmzZvD2dlZ8ncSiw2sWrXKrIJF+Y21a9carIWAVLupV68e7xCi1WpN3uwoV64c+vbtiy5duqQrnBUrcD9//tzim9HsOB06dICnp6ek06xOp8OlS5cQHR1t9nnYHCQgIICvr8T4AEsW37VrFzw9Pc0+33+dbdu2cX+p0WgkBafc3d0xdOhQ/l5Ti7MkJyfD2dnZQDgrwuZ90dHRWLFihSRp1xIoFAp4eHjwJCHmMxnmVBVnsOO9fPkSCxYsQFxcnCQhndnk3r17UaZMGbPPl9/ILIHn008/lXSYNSWGVK9ePXz77beoUqWKgR/UTwq8d+8eXr58adFCA2yd3KJFC35fYtJQYGCg2QWExISg9u3bY9y4cZIES/3/swRownjSm3OyBBS5QgYAGD58OGbOnAnAUECmXwiDdUK2lH2KfrpmzZqSc7LrOHbsGKKjo82a44rCWR8fHzRr1kwSD0hJSeEFr65fvw5bW1v5N5VPOHv2LPeJbEwXkxKLFi3Kq8KbEg8X1zrNmzfHxIkTDYSz+j7l8OHDOHbsmCVvjx+7WbNmcHNz42s8Nndh8SpzvgspKakdv58+fYqRI0ciPDycx2/FNfu2bdtQrlw5828qn3D79m2+Bre2tpbEFNn3nsWIWCKkMYi2WbNmTQwYMMBAOMtga5IbN27gwoUL/POWgPnG4sWL866a7JxKpRJxcXFmr7lYXO358+cYOHAgQkJCuG2KcfctW7ZQPMlIgoKCsH//fv5vMaYDpIpADx48iJCQEJPXJ2IsctCgQekKZ8V5H5A657V0h2CdTgdnZ2e+FmLnTEpKwvv37xEYGGjW8ZldPnv2DAMGDMDr16/5/ejbJflM08lsHSQWXJOTkNu/f38unM2syG9ycjL8/PwAWC4hlx3H3d0d5cuXB2BY5NcSQl0W23R1dUXz5s25KJbdJ+ue6ODggFGjRsHGxkb2ufIDCoUCjRo1wvfff49SpUpJ9hHZMw0JCcH69evh6+sLwLLCWTZfYHM1ILXz7Y0bNyx3k/+PRqPhxdBEf23OnigVUs0ZNm3aZFCokn3nP/30U9l7QmXKlEGfPn3Qr18/7o/Ty4tTKpUIDAzEoUOHLHdTAm3btkXr1q0lRa1YUR9LxNxZjhEAfPPNN7CxsZF0KGWiImdnZ0m8mDAeDw8PjBgxQiKcFTtqJyYm4uLFixYRzrKCgUBaUVP2ffjnn39w8uRJ/rwtgXj8xMREA5/JCpabugYTCw706dOH+0/9NTqtg0xjx44dfJ9S3BMCUgV9AwcO5P825ZmJeRzffvstqlevnuEaPzk5GW/fvuVdP7OjoUS5cuUkxYrUajXUarVEHCkXdk8BAQFYuHAh4uLiJGs8lrO5a9cuXhyRMJ6sCv3KGdNZTvGMGTNQr149WFlZSfbNRYE1yzu39D46kFakq3nz5pJ4e3JyMp49e2aRXFFmn1WrVkWzZs0kom4gbd1la2uLPn36WDRv+r/K4cOHeQ6HGHdnc6UqVapw/YXcnOIuXbrAx8eHC2f14+3MVvbu3csLqVoK9j3o1KkTL74rxt2fPXsGwPy4u0ajwdOnTzF69GhERESkm7e5fft2HisgiPwIiWYJgiBMQNwobtWqFSZMmJCrwlkWvH7y5AnmzJmD+Ph4i3T9YhNCFlxhk9Dk5GSDLnWmHjckJIQC1tnEhQsX+CKC/W3FDQcbGxu8evXKZGEikGaPpUqVwtKlSw2Es/rixFu3bmHnzp0WvLs0mjRpIhFesUXEw4cPER8fbxFh4tOnTzFw4ECEhYVlmCBBiwjjKVGiBAoWLAggLeAhPicfHx9s2bJF1gJQ9MsZdZwVEx7FKomWCr6we3F0dERKSoqkajoAvmGcHRVyyX+aR61atfDxxx8DkCbLMp/2xx9/8IquLCnMVLISzrLzvXjxAuvXr+fnspQITKlUokKFCihVqpSB+CsmJgYajUZ2oJxsUz7i8xU7amZFdgtn2TOdMGECqlevLhEYsOuOjIyEr68vNm/eDAA8CUYuhw4dwr179yTfPzs7O3Tp0oWf01gSExOxa9cuiQiCbNGyHDt2jG+kWFlZSWxEo9HA3d2dv1eOH3NwcECrVq0watQoiXBWtA/22qNHj3hHGUtvqJQoUYL/W6FQ8DkK64Znjo8Wiw107doVERERfNwR55u+vr68eyORNY8ePcKKFSsAGBbCYIVxTp06BSDVVuU8w3LlyqF///4ZCmeBVPt5/PgxDh8+DMDyiY/FixeHi4sLvz/mtxMSEvgcQy76yeIsKZeSJOTz+PFj2NracrG/WA377du3+Omnn3Dnzh1Z9sjmppkJZ9m8T6lU4uXLl7h9+zYAy4u5mVhVXzD44sULs4/P5pqDBg3ic01WTZxs0jzWrFljUNyKPbsiRYrg+++/50llpvoylUqFGjVqYNq0aRLhrJgQyM4bHx/P/bOlx/PKlSujY8eOkqSMpKQkhIaG8k6N5p6D2eiGDRv49evb6IEDB0jUbSK//fabQUIukOpf6tSpw4UMcgphAEDfvn0xY8YMAGnxo/TG0L///pt3JrY0vXv3RuXKlbndsHuMjIy0SNdE9vk3b97g+vXrEvtk3elcXFyoW4iReHh4oE2bNnBycpKM6cy3bN68GRs2bOAFGE3BWOEsm6splUpcuHDBIsUpRJKTk2Fra8s7vIoJieZ2iBPH9GHDhtHekAUpWLAgxo0bBxcXFyQkJEj8WUpKCq5cuYLly5fj77//BmB6cbXMhLNsXGd+BUgVVFi6ezXrlFC5cmV+XUDqvCI6OhqxsbGyjy3aJu1bWo6iRYti/PjxaNCggYG9qNVqvHv3Dr/++isOHz4sq5CJMcJZMQHxyZMnuHPnDv+9JWB2yOJg7Ljsu2BOYqxol0OHDiW7tDA7d+40EDKICblNmjQBIK/Ib0bC2YyK/B44cIAXk7QUrODgp59+Cjs7O4PvA+uYaIm9dH9/f/zvf//jhd31Y5uUkGs8Go0G9erVw/Tp0yXCWSAt1hISEoLff//d4sJZZussFwhItZMTJ04gIiLCQneYFne0sbExuDdWxEfO/SiVSjx9+hTe3t7kL7OJ7du3Y+7cuQAMu8c7Ojrik08+Mev4xYsXR+/evTFgwAAu3hG7hLJzAcD9+/fNOld6sPupUaMGgDQRJPtOsHiquXtCVlZW8Pf3x6BBgyTFYPXj7rQnJJ+cEs4qFAr0798fJUuW5PklbPxNSkrC2rVrcfbsWQDm2Y3+OZOTkyXXy36WUwiN1kHZQ1xcHG7evMk7+IkdJnU6HYKCgrB+/XrcunULgGnrc5GshLNsXnvx4kVepMVSMLv7+OOPoVQq+XcsJSUFSUlJZneaFW1z4MCBtCdkYXbt2iUp9MvyPBSK1AK5n3/+OX+vKesF5ge9vLwwY8YMNGjQgAtnRZgvi4iIwKZNm/hnLYVCoYCTkxOqVq3K10DMP6tUKouLun/44YdMRd2lS5c2+3z5gUKFCqFy5cqwtrbmhecZOp0OixYtwqZNm2StTcQ8osyEs+zfWq2W59lZOn5kZ2dn8L1QKpWIj4836/gZxd0pb5MgDCHRLEEQhInkNeEsC+KdOXMGK1eu5Mls5kzcRBGi/vWULFkSXl5eso8NAC4uLnzxRZMzy1GtWjV07NgRjo6OEnEzm3wfOnQICxYskF3hOCvhLIPZ3tWrVyXVZS2FWq3m3efEqmUqlQrW1tYWEX9R8o7l0Ol0qFu3LpYvX44iRYpIbEZMqJk9eza2bdsm6xyZCWfFICELVP/00094+PChpKqUJfDy8kKxYsUkmykA+MJdjqiMAtbZi5ubGxYuXIjmzZtzQamYCKFQKHDgwAFMnjwZQPYIZ1mitUKhwOHDh7F7925+bkvAgoGsmrd4XBYklANVb5YPE/MDwO7du7Fo0SLExMQYPX9jwtmePXty4ZS+cPbYsWPw9fXFtWvXABi/6cIEsBqNBj/88ANKly4tEYWx/wcHB+PXX3/FqlWrAICf11Sio6Nx8eJFXsFS7FjCRIumfBesrKzQrl079OrVi/t8skXL4unpibp16wJITVwVuyVotVrs3bsXP/74o+R5mkpmwllmx0qlEg8ePMDKlSsNfmcuTIxRunRpfm/sPsLCwvh75EDFBrKPggULYuLEiShSpAhfE4tzzlu3bmH16tU4evQoAPmb0RkJZ/WTxffu3cs3vi0FEwaxAkLsvCqVComJiYiJiZF9bJpzZg8zZ85Ev379eJIE+zuzZ3f58mUsXLgQDx48yBbhrCiYCAgIwN69ewGY3ymeweYF1atXh4ODg0SYCIDHweTcG9lk9pKYmMgTZtiaWSwKERwcjIkTJyIhIcGgEIGxqFQq1KxZ00A4q78eSUpKwvHjxyVzWkvAzuPp6Sm5N+ano6KizDq+vo0GBgbyKuJiAg/ZqGnodDqEhoZi0aJFAMDHWkZKSgquX7+OI0eOAJBfCAMA+vXrZyCcFb8LLFmCdViypKibrX+YWFUc0y3VnY7ZZ+/evfHq1at0u9Nt3ryZ7NNIKlasiPHjx6Nx48aws7OTiLKYH926dSu2bt2arcJZVhDjwIEDfL1vThErEZVKBTs7OxQuXFjyelJSEiIjI2XPNWlMz148PT3Rs2dPDBo0CA4ODpLEcBYX8fPzw5o1a7JVOCt2Rzh58qTZCV8ibHx1dHQEkLYnlJSUlG6nJWMhYWL2IPqywYMHo3bt2txemK2w8W7NmjU4cOBAtghnxVhmaGgoli9fjujoaLOL/+nfJ+vcLr4GyI8bsb2CZ8+ekc/MJgoVKgRnZ2cAhmOoTqfD119/jf3798sq8puZcFbM72Dvef36Nc/FsNR4zmzPyckJycnJBsdlhQYsFdsMCgqi2KaF0Gg0qF+/voFwlvkFIPuEs+nNH7Zu3YrTp09b7P6USiViYmIQHh5uEHP38PDg7zEVrVYLX19fSfdyskXLwcZtfVEe82cxMTFYsmQJX6PL3acpUaKEgXBWf78eSI25MzGipWDn+eijj3gMQrTPd+/eSa7BVDLym2wtSbZqGsy+MrKznBDOsm7qI0eO5MUHgLSmJ4mJiZg0aRKuXLlikaK/4v6kRqORdI6zsbGRFAE2BrEIIK2DLIutrS3+97//oVu3bnB1dZXkbLK43MGDB7Fx40Ze1Cc7hLMs7ykoKAgXLlywaEyTjbVeXl6SdZ54brlQ/Ch70Wq1ePz4MS+Wx/acWawxJCQEa9euxd9//y2JexoL83fGCGeVSiVu3bpl8TGdnatevXq8+7FYRIhE3XmTunXrwsfHBxUrVuR/T/24+5IlS7Bz505ZwllxrM9IOMvex4pf3L1716L7lUBqLKJo0aKSHJaUlBREREQYFMYwFvKbBGEaJJolCIKQgb5w9quvvspSOPvXX39li3CWTaLev3+PAwcOYNOmTWYLZ1nQ6N69ewDSFrUpKSlwd3fnm9OmkpKSAg8PD6xYsQJ16tShJDILwhJlfXx80KJFCx64FkWlAHD48GH88ssvsju+GCOcZT8fPHiQd5uVG+jRhy002eYJSxhKSkpCXFwcYmJiKCE3j8GefY0aNbB48WID4Sz7GwPArFmzslU4ywLVcXFx+OGHHxAUFGQx22SIybjsHuX6TCCtQi4FrLMPV1dX/PDDDxLhrH4X2D///DNbhbPsvLGxsTh69KhFK+WyMYCJNdg5AfBKbXLuhyXv9O3bl2zTBETB7MaNGzF9+nT8+eefWL9+PWJjY00Szvbp0weffvppusJZnU6HY8eOYdOmTSYLZ9k8sGTJkhg9ejQ8PT358cXvR3h4OJYvX44FCxYAkJfQsHXrVi7gYRvhADBs2DCUK1fO5OMBqUVE2N8GAGxsbMgWLUjVqlUxffp0NGjQgI+trNsRkFooYu/evViwYEG2CmfZHPD06dM4efIkAMsVG2DHYom54nHNrSZOxQayDzc3N3Tq1AnDhg2Dh4eHRPDP/OLt27exfv36bBXOMnsPDAzE8ePHER0dbbF71E8WZ/MHrVbLO83KgZIksgc215s4cSJ69OjBk3LF+aZCocCVK1fw008/ZZtwlr0HAPbt24e1a9cCsFyxgZSUFMTExCA2NpYnlbFz63eqMwVan2cvVlZWWLx4MTp27CgpXiJ2ezly5Ai+/vprXiTDksJZsSuxUqnEP//8g6VLl/LfWco2gdROIazQmmiL4eHhkveZeuz0bJSKA5qPQqFAwYIFsW3bNtja2iIuLk7SYYaNhf/73/9w4MAB/rqlhLPiuZgtbtiwATdu3LBokRY2f27YsKHkHsRxXS4U48w+ypYti1GjRqF58+YS4Sz72+p0OmzZsiVbhbMsxhMXFwcfHx+8fPlSdhErfdi5RX8vCm80Go3s7l8BAQE8mYx19SN7tBweHh7o3r07hg0bJhHOMn+QlJSEq1evZqtwFkj1bdHR0di6dSsePXoEwDIFB8T9SXY9zDZtbW1lCduAVNsMDg5G7969ERQUxAuFkG2ah2gvzZo1w7Bhw7hwlvkyNvd89+5dtgpnmZ2oVCo8ePAA33zzDRf/mCtQZMcWC1WyvUp2TrnHDQ0NxZgxY8hnZhPNmzfHkiVL4O7unm6R35SUFEybNo3PNU0lq46zDJVKhYSEBPz44498PLfkXmWZMmVQrFgxnijOYJ3qqchv3iQ94ax+QdPsFs6Ke+nff/89zpw5A8C8uDj7bGRkpCSOyu5Jv2iLKWg0Gnz66afo0KGDJFZKtmgZVCoVOnXqhFmzZknsRNzffvbsGZYuXYrjx48DkL9Gz0w4y+wSAHx9fWWtt7LC3t6eF8NgRa2AtE6RlIOUu7Bxi8VLMrOz7BbOsmPVrVsXNWvWlPgzNt4nJCTgiy++sIjohp3vjz/+QGJiIj+WVqtFgQIFTO5kqFAoEBISgh49etA6yMLodDpuf+3bt5cIZ9k6BEjN21y/fn22CmfZuVavXo1Tp07x67MEycnJSExMhFarlRS7BszPjXv+/DkGDRpE/jIb0Gg0GD9+PHr16sVzbtk4xezlzJkzWLduHa5duyYRLhoL83eZCWdZfkloaChOnz6NxMRE/rq5sHVPiRIlYG1tzf1lejFPU6ExPXupUaMGpk6diipVqvB1OQBJ3H3x4sXZKpxl882YmBhMnToVr169sphwViygpZ9T7OTkZFZsU8w9ohgSQWQOiWYJgiBkIi4MWrZsmaVwdt68edkinBXFC8HBwdizZw82btyIhIQEsyZuJ06cwIMHDyQb3mq1Gm3btpVMTuXch6enJ+bNm4dy5crB2dmZJmcWgG1iODk54dtvv0WbNm0kwllRmHjo0KFsFc6KIt3FixfzylCWECeyc2g0GoPuOSyIbU7yDi0isgf27GvWrJlrwlnWfUTspL1p0yaEhYVZTGQTEhKC0NBQvshltlimTBkA8hMlVq1ahaCgIB7UIbu0PG5ubrkqnBU3U86fP4/9+/fj9evXFrk3pVKJiIgI7vNFYXepUqVgbW0t2zYvXLjAuy4CVL05K/QFs/PmzQOQWhl2z549+O233/KMcBZIfZ6NGzeGt7c3ChYsKKlszuw2OTkZv//+O8aPH4+HDx/yzUqxqi5D/M4kJCRg7dq1WLx4MT8X+32tWrXQpEkTo64xIypVqoTPPvsM/fv3x+7du8kWLYhCoUCFChUwZcoUiXBW9GORkZHYs2dPtgpnma9+/vw5jh07hpCQEIvdI7N1NpcWEyTESuOmwooN9OvXjzZSsgkXFxd06NABI0eOlAhn2UaWTpfacTY7hbMAeOfXbdu2cf9ryQ0VcTNFXAtZWVnJOq5CocDr16/Rt29fSpKwIGKV7cmTJ+eqcFY/sezw4cMALLNGVyqVBp3EmL27uLjIPm5MTAwmTpxIHbmzEUdHR3z33Xdo164dH8+ZH2P2eezYMUycODFbhLP6nRaOHTvGE3gssUYXE4uZMFhcC7EEHjmFX1hxK7FrPPlNy5GSkoJatWph/fr1sLKyglar5YkRotjg66+/zlbhLPM7KSkpmDdvHl68eGGx+JEYDxP/r9PpYGVlBfe5qScAAQAASURBVHt7e1nHpUIY2U+5cuVyXTjLzhUWFoZvvvlGdnccfVgxNzEexa6lfPnysLKykuUzgdSE0Ldv30KpVEKr1VIx1WwgI+GsTqfjHeOyWzjL/Obr168xZcoU3vGNCQ3kInbJ0b+mMmXKwM3NTfax79y5w/eVyDYtR1bCWdFesls4C6SNj6dOncKcOXN4rMrcLkgA8O+///J7BlLnvkWKFIGXl5fsY2u1Wnh6esLJyYns0sIwu2zUqBF++uknA+EsG2NTUlIwZcqUbBXOsu9AeHg45s6dy/cqLSlmYN1qxH0JFpeQW9zq6dOnGDZsGM0zsxGNRoOPPvrIoOMskHPCWfZcY2NjMXHiRPj5+Zm1FmKf3bt3L6KiovjrycnJ8PT0NHs/qFq1ahgxYgQ6duyI5ORk2Nvbky1aEFtbW7Ru3RpTp06V2AkbX1NSUvDixQssWbIkW4WzbN18+/ZtnD17VlbeXWZoNJp01zxiV3lTUSqV8Pf3J3GNmbC5W1BQEJo3b44///wTQO4KZ4HUTpsDBgzg+0OirWo0GsTFxWHAgAG4fv267LU04/79+7h165ZkzgkAH3/8MY9NmEJycjIvXp2UlMTjb2ST5sFsslChQvjiiy8MhLPiPk12C2fFc02fPh03btywWFyTFU9g/xfz8OTGNIHU/IKpU6fi9evXkkIeZJuWISUlBY6Ojhg+fDi6du0qEc6y2BEAnDt3DmvXroWfn1+2CWfZubZv3479+/cDsFwznuTkZMTHxyMhIYH7RnY+thaSA4m6s5+aNWtKhLPM/nJSOMtinM+ePcPixYt5PNsS+e7h4eF48+YN36dkx2Q2I3eusGnTJklhX4ohEUTGkGiWIAjCDPKScJZN8J8+fYqtW7di2bJliIuLg1KpNDmpLT4+HufOnUNUVJSkGnVycjKqVq3Kr0cOonB25cqV2Lt3L03OLAT72+YF4SxbRMTHx2PlypUSsY45pKSkIDY2Fs+fPzdYkFSqVAkODg6yxV+XLl3iiwjaiLY8uS2cZUmW7D2RkZE4fPgwdu/eLWsxLcLOx3w7S35ntsiCTXIX0XPnzkWzZs2QkJDA7ZIKDlie3BbOst8BqWKGXbt2md2dTqyYJ3aqYecrUKCA5H2m8umnn2LChAkAUjdUyGdmTEaCWdYp6dWrV9i/f3+eE866uLigU6dO6NWrFwoUKCARUwBp/u7YsWOYMWMGVqxYgeDgYO7/xPey165cuYIFCxZg4cKFACApxmJlZYWWLVuicuXKRl1fZlSrVg2TJ08mW8wGFAoFKlasiClTpqBhw4aZCmfnz59vMeFsyZIlJUIbsbrynj17oNVqLXJ/rDsOE+KKhTDS69BgLMnJyTh06JAkCZQ2UixPRsJZtmbOCeGsWIl0ypQpvBiVuZ1sWLL5y5cvJa+rVCqUKVOGzznl8OTJEz4vSExMpCQJC5GbwtkGDRoYCGcB4O3bt1i3bp1Filsxm2aJRWKyhFKpRNGiRQHIm2va29ujT58+8PT0RFJSEhfZkE1aFkdHR8yePTvXhLPiXPH58+c4dOiQxbuFsHW6fjVxOzs72ceMjIzEoEGDEBAQABsbG0qOsDBsLK1ZsyZ8fX35mMSKoeWEcFY/Kffp06fYs2cP71BsLuw6WcELMcmMibzlwLqFdO3alQphZCN5RTirUChw69YtzJ07l4sT5doO8/kJCQmSvSvmp5koUe7xBw4ciKFDh8LNzQ1KpRKJiYkU28wG8kLHWfY9eP78OYYNG4aoqCietCUHVqBVq9Xi3bt3/DV2LaxIi1z/36RJE3z11VeoUKECdDod2aYFyUw4K9pLTnScZf9PSUnBoUOHsHTpUu735K7TmX+8efOm5DzJyckoVKiQ7GRcnU6HIkWK4LvvvsPHH38MZ2dnsksLItrlxx9/nGvCWf255q1bt7Bp0yZERkZaLFn8zZs3ePfuneQ7AAAlS5bk12cqLEk5MDAQ1tbWNM/MRtRqNT766CPMmDEDpUuXzlA4u3btWmzcuJG/Llc427VrV4wYMQIuLi48BsOeb0xMDL744gucPHnSLNt89uwZFwYBaftFxYoVk3QCk0vFihUxePBgdO/enWwxG7C1tUXbtm0zFc4+f/4824SzLAagUqkQFRUFX19fPgZbitjYWJ4fJwrAChYsCEBenlNCQgJ+/vlnXrRfnNuS3zQOtpYJDg6Gt7c33r9/j8mTJxu1t5MTwtnGjRtj5syZ/PjMVlkcKy4uDkOGDOFduxmmfjf++usvPHr0iH/n2PqqRYsWUCqVJo/rRYoUwcKFC9G4cWOkpKQgISGB5psWIivhrJgXl93CWbbeev/+PWbPno179+6ZfX/MNwYEBPD9f7YnZG1tzfeE5ODk5IQmTZqgRIkSfM1I/tJyMB/n4OCAESNG5KpwVhR1z507F6dPnwZgGeEsKxwnHo/ZrTmi2ejoaHz33Xck6s5m9IWz6cXds1s4y/Zozp07h9WrV+Pdu3dm2Sb7XHx8PPdtYq6TfvzKVL766it07twZQFphdxrTCSJ9SDRLEARhJnlFOMsWo0Cq8GLXrl345ptvEBERYbKIcMuWLdi5cycAaeevwYMHo1atWiZfd0b34eHhYdaCmTAkLwln2Tnv3buHtWvXSgIwchYSYtCdLXxEEZK7u7vsYwPA559/jilTpsDW1hYajYYWEUai//fO7O+f28JZ/UD4mzdvsHv3bhw8eFBiU3LOB6RWyBW7biYlJaFAgQJo166d5H2mwKpArVixAs2bN0dCQgJcXFywZcsWsstsILeFs2JwcMWKFdixY4ek6rKpMJvbvn07Xr16xe8lOTkZrq6uZtkmkJpo7u3tja+++gpAarVd8pnpw/7Gvr6+XDDLgqjsueRV4WzBggXRq1cv9OnTh3ecFW2JBfXu3LmDNWvWoFevXpgzZw527tyJO3fu4OHDh/Dz88Off/6JL7/8ElOnTsXmzZv534Bdh06nQ69evTBs2DD+b3OR23WRyBomnJ08eXKmwtm9e/daTDj7xRdfSISzLMEAAH755Rds377d7PsSg9aJiYn8u2uJYgMqlQqdO3fG4MGDAVCxgewkL3ScZfPaiIgIDB06FC9evJD9HWBoNBokJydLBN0s3mBuIYwGDRrgf//7H+rUqQMAlCQhg4z+9rklnF26dKmk46y4nn7w4AF8fX1x5coVAPLtn62tjhw5IhF5JSUlwdPTk9uTqXNNdi09e/bEV199xYWz5C+zh9wWzrLfAalxqu3bt8sSS+jDEiMCAwP5ORQKBTQaDZycnFC6dGnZx7axscHnn38OhUKB+Ph42NjY0JhuYTITzrKxjxUgym7hrFKpRHR0NA4ePIgjR46YXdwKSEswe/ToEYA0v6dSqVCyZEkUL15c9rEdHBy4GCIlJYUKYWQTeUE4C6Ta0uXLl7F48WKzhLNibFMshKXT6eDg4IBu3bpJ3mcKKSkpsLGxwZgxY9CjRw8olUrY29tTbDObyKzjbE4LZ//9918MHToUkZGRkoJppsBsbteuXXj69Kkktm9ra4uuXbuafEyGTqeDnZ0d2rRpgyFDhsDT0xNqtZps04IYI5xl8aLsFs4y22GxqiVLlvCkYLnr9LNnz+Lhw4eShEeVSoXWrVtDo9HItnmdTgcvLy989dVXqF69Ojw8PLB582aySwuR14SzCoUC79+/x4EDB7B3717ExMSYNadl52PHEYUMAODp6QlA/l7ovHnzULduXSQkJMDa2pqK/GYjarUa9evXx/Tp0yXCWXHf8s2bN/j999/NFs66u7uja9euGD58uGSPSRTOTpo0Cfv27ZP4aFPOtX//fty4cQNAqi2xNXvv3r3h7OxsdhdGAKhatSpmzZqFChUqmH0swpDcFs6KApVXr17Bx8cHDx8+BGDefiKzY5bjoe83zclnU6lU+Pzzz1GvXj2+H0zrc+MRBbN9+vRBUFAQz3378ssvcejQIQCZr1OZcLZ///4AMhbOfv/99wgKCjLJjzK769atG8+VYMdXKBQ8jpWQkIDx48dj8+bNvCAqywvJ7LiM9evX47fffgMASUGinj17mtWp28vLCz4+PqhZsyYA0DrIguQV4axoZ48fP8bixYvx+PFjAPL9Jvv+HD16VCJGTEpKQuHChVGpUiVZx2XXOXr0aPTu3RslSpRAUlISHB0dyV9aEH3hbLdu3TIVzv7222/w8/OT7DOaeq6MhLNM1J2QkIAff/wRly5dAmBefJ/Z0atXrwBIx3SlUmnWWsjBwQFt2rSR5EbTmJ495LZwlv0XERGBo0ePwtfXF+Hh4ZmO3Zkhxt1DQ0P568nJyXBxcUHHjh35dZlKcnIy7Ozs8P3336NDhw58L53GdIJIHxLNEgRBWIC8IpwVg+Rs4tanTx9cvHhRkljL/s/+Y4SHh2PlypVYsGABAKlgtmzZsmjYsKHMv1D690EYj5yFZ2bCWTEhMbuEs8wetVot/v77b6xfvx53794FIG+RyxYR+/btw/Pnz/lGNJC6ODUnQUIUho8ZM4YvbGkRkTmiaPn27dt4//59ls82rwhnmagnICAA69evx5YtW/D27VvZAZiXL19KKpqKXWatra1lB3XECqrLli1DmzZtsHHjRrLLbCQvCWcXLFiA33//HcHBwfxzptpSSEgIt00xyOns7AwnJyeTr1sfW1tb9O/fH5MnT8auXbvINjNhzZo1+OGHHwBI51iiMCGvCmc9PDzQu3dvjBgxAsWKFeNzCXGuq1AooFar8fbtW2zevBkzZ86Et7c3evXqhQEDBmDatGk4evQoXr9+LfkbMHFGp06deOKQWDmdyF2yGtNzWzirX4l0z549Mu5Sek9AarGBsLAwyfzE3d0dbdq0kbzPVEqUKIG+ffty4ayNjQ1tpGQTmXWczWnhbHh4OIYMGYLnz5/z5B657Nu3D48fP5YIeWxsbHgFUbnFidRqNZo1a4YhQ4agXLly0Gg0lJSbCeLfmc3TMrOf3Ow4qy+cZb+/cuUKVq9eLangLMc27969i7t373K/yGyzevXqsLGxkb2ByD7XuXNnjBkzBqVKlSJ/mY3ktnBWLITh6+uLrVu3IiYmxqx7Ysdj4nB2vVqtFoULFzZLlGhlZYXhw4dj8uTJUCgUiIuLg6urK9mohclIOCt27ciJjrPsOxAcHIyNGzfi/PnziI+PN+ve2HWzRDWxO52Li4vstbpOp+NixHr16iEpKYkKYWQj5cqVw+jRo/HJJ59kKJzdvHmzxYSzkyZNMhDOKhQKxMbG4tixY/Dx8eHdceT46JCQEPzzzz8A0gRmKSkpcHZ2hqurK78mU2HXa21tjTFjxmDkyJHYvXs32WM2kpeEs7dv30afPn24bcohPDwc169fBwBJXMHW1hZeXl78mkyF3YetrS1at26NSZMm4fDhw2SbFiavCGfFfdHQ0FBs2bIF3333ncTfmUJ8fDxOnz7NO3kyAVhycjJq1KjBr0cOonD2u+++w44dO1CuXDlZxyLSJy8JZ9l4HhQUhF27duHIkSNmCWeZ3e3btw/v37/nx0hKSoK7uztatWrF/wamwoQLq1atQt26dREfH09FfrOZ9ISz7BnnhHCW+Wq1Wo24uDh8//33+PXXX3H16lXJNejbqv75N2zYgNWrV/N7YnPVli1bokGDBiZfa2ZQIdXsxVjh7OLFi7NNOMts8uXLl5gwYQICAwPN2k9kdnzo0CHExcVJigIWK1aMFwWUg1qtRoMGDTB27FgunKX1uXHoC2ZDQkKg0WgQHx8viQU9e/Ysy2N5eHhg+PDhmQpnL126hNmzZ5sknBXtztvbG1988YXB8VmeT2JiIn788UcsXboUJ06cAJBme1qtlt9zUlISP+6bN2+wfPlynuck+s8iRYqgWbNmJjdQ0cfLywsLFy7EqVOnyCYtjDHCWfb8sks4K+7ZJyUl4dq1a/jhhx9w7949s+Knt2/fxv379/k8lt1H3bp1ufDMVMTv3eDBg9GtWzdUqFCB/GU2IApnhw8fnqlw9vz58/jtt99w7dq1bBHOsv8HBATgl19+kZXHpH8+IHVMZ+tzINUXFylShDeKklvot2/fvhg4cCDP73NwcCAbzSbYPmLVqlUlhfjEuPuiRYuwY8cO2cJZ9ly7dOmC7777TuK/mH9jzXiWL1+O0NBQ2WutoKAgXkCIfcd0Oh0KFiwIe3t7k4/HEGOk3333HXr27Ek2SRCZQIolgiCIdJCTVJAXhLP6yZZqtRpPnz7F119/jSlTpuCvv/6SJHSypIrY2Fhs2LAB3333HZYuXQogrfMXWyi0bt3arCplhHzE53DixAncunUry89kJZwVKytnt3BWpVIhPj4eJ06cwNKlS81a5IaFhcHPz4/fB5v829jY8O5KcoLi4qb4oEGDMH36dGzbto0WEZkg2uX69esxZMgQ+Pr6IjIy8oMQzoqbioGBgdi+fTtWr16NgIAAWQnjf/zxB98kFCvkDhw4EAUKFDBrs4ZtBGk0Gvzyyy9UITcHyEvC2VWrVuH333/nwlc2nzCWXbt24dy5cwDAA+JAqq8rUqSIydecHnZ2dhgyZAjKly9vkeP9F3n37h127twJIK1TIIM987wunHV3d0f37t0xY8YMlCtXjtuS+Hlmw2yOodVq+fvY+YDU70xSUhKfk/To0QMLFy7kxzB3k48wjzNnzuDy5csAsraRvCac/fbbb7Fx40YkJibyz5k63wwKCsLt27f5v5k9FixYEA4ODmZVLQdSN6GZCJ2KDWQvmQlnmV/MKeFsUFAQevfujbt378pOnI2IiMDVq1cl6zk2RyxTpgwAeUm57J6ZcHbixIn466+/KCk3A8R10KZNmzB8+HCcPXsWwIchnBVt58qVK1i2bBmvyv9/7J11eJRH18bvlcjGjQRCkCDF3T0Ut+AaAkWCl+JuxS1Q5C3FISTBvUALLVAoTpFSpFBIAoQQiLvv90e+mcyz2axvssDc19WrYZN9ZJ+zZ2bOnN857Cahpjp79ixevHhBPxcy7nt7e8PMzExne2fnP3369OH+shBU1OAsO57/+OOP2LFjBy0ASK5BW924cQOPHz+m90HG9GbNmmm9rlKUubk5fHx88O2338LKyooXtzKSVIGzxOcUZsfZsLAw/O9//8PFixeRmJio172dO3cOT548EdinVCpFp06dAGjXtYmI+HkbGxts2bKFdnfgIIPxVKFCBYwdO7ZAcBaAwcDZVq1a5QNnydwhNTUVV65cweTJkwXdOAHN/efhw4fx+++/A8hbswPAyJEj9equBAjB2W+//Raenp56HY9LvQg46+fnB1tbW5XgrKbrf1aK4OyQIUMKBGdfvnyJYcOG4datWwLfqem5Dhw4gLNnzwLIb5v62hK5DysrK3Tp0kWvohpcBcsUwdnk5GQcPHgQY8eORUxMjNp1i6K9BgUF4cCBAwCEAMM333yD+vXra33diiKfWcmSJVG8eHG9j8eVX6YCzpKxXCQS4eXLl9i5cycOHjxI91p1mROGhoYqjW16eHgIktS1FbF1Mtds1qwZXwdpIcVi9pqqoI6zgHHBWRaIJN+FtLQ0HDp0CAsXLsSOHTsQGxsruB5yf+S6/vnnH6xatQorV66k90K+Y7a2tvDy8qL5HVyfjjQBZ8PCwozacZbYZEhICEaNGoXHjx/rdU///vsvhcjYPc5KlSoJQA1dJJVKUa9ePYwePRrNmzdHQEAA95tqVBAwS/aVCYhqbm6ucVEzY4GzRJaWlhgyZAiGDx9Oj09yLsnPWVlZOHfuHGbNmoWFCxfi7t27SElJoXEtsVhMAdugoCAsXboUmzdvBpCXv0nUtWtXtGvXTuPrUyUPDw+D5YxwCaUOnGXj4cYEZ4Fc+0pPT8edO3cwZ84c3Lt3T6ccNrlcjrNnzyIkJCTfnlD79u0F+QHaiv3ejR07Fnv37uX7lEaSqYCz7Nzhn3/+werVq3Ht2jUAun8Hnjx5onRMr1mzJo3dait2Xda7d28MGDAANWvWxIEDB/iYbkTVqlULs2fPpuAsW3SA+M5169bpDM6yNtatW7cCwdmPHz/i559/xooVK2hRQG1t8/jx49S22bzNYcOG0ZiVriJzYysrKyxdupTbJBeXConk+mb7cXFxcX0GYpMeC5KmCfzssX7//XesW7cOISEhNLBDFhakGufs2bPRqVMnCjRqIzaBbdu2bdiwYUO+zlyKlcVLlCgBd3d3ODg4wNbWFi9fvkRCQoIAmGQXzgRkIJ3R2HNyGV+sPe3ZswcrV65Eo0aNMGPGDFSrVk3t+8nzSkhIwLJly3D+/HkKapNgBbGPLl26YOLEiShTpoxO10rOFRISgu+++w7Pnz8XdHPKzs6GmZkZKleujDFjxqBNmzZK71OVfvrpJ/zwww8A8kBCAJgzZw6GDBmi03Wz4qCOZmKfV0BAAPUPpUuXRvfu3eHr6ws7Ozu1z5X8/sGDB5gyZUq+xSWbBLNw4UIMHDhQ7+s9efIkZs6cCSDP15FgjJWVFcqVK4dFixahevXq9P2KdkEC20S7du3C6tWr6THJNbdo0QKLFi3SO7GMq+gUExODOXPm4PLlyzR5gQ2iyeVyeHt70+evqw8hlR2XLVuGFy9e5EtiA4AGDRqgY8eO8PHxoe9j5xaK4GVmZiYCAwMF1UfJsZo0aYIFCxbA09NTY//LpZ8yMjLwv//9Dzt37gQA2mEVyAvGkaAbsbESJUqgR48e8PPzowFcTeZgb9++xf79+3H06FHExcXRwhBkLBaJRGjfvj18fX1pEpe2dhAbG4vZs2fj7t27SEpKAiBMEFO8N/IzIPTtZcqUofMPIL9/5Sp87d69G6tWrULr1q0xYsQIjW1ELpfj2bNnWL16NW7cuEHnmQS6AQA7Ozv06tULM2bMoPaoi89MSkrCb7/9hp9++gmhoaGCQhjEtiZMmABvb2+a8KrNuTZs2IAtW7YAEBZFWL58OXr16qX19RYkbu+Fp7i4OJw9exZbt25FZGSkUr9Yq1YtDBs2DB06dACgvV8kevHiBQIDA3Hq1CmkpqbSc0mlUlpJfvHixWjQoAGcnJwAaL7GLmgtNHnyZIwePVrra1UUnxOoV0HroLp162Ls2LG00Jiqz5L4I7lcjtWrV+PYsWN0M4+db8rlcjRq1AgzZ85ElSpVdHo25Fzx8fH47rvvcPPmzXxrdLFYDFtbWwwdOhTjxo2j71Vml4qvFbQO6tKlC1asWGGQ7h7cLgtfiYmJmD9/Pn755Rc6nrObxDk5OWjfvj38/f1pMRhdxvPs7Gw8ePCAVrdXNp4PHjwYAwYMoJu82sQkMzMzsWbNGgQEBAAQjun79u1DgwYNtL5mZcrIyEBycjLtwshlHJFn/+DBAwwZMgQZGRkwMzOj3TjYn9esWSPowK6rDwkKCsKSJUsA5I+VlylTBkOGDEGnTp3g5OSk9XlSU1OxfPlyHD58GAAESb/79+9HjRo1dLpmIvJ5JSUlIS4uDh4eHnodj0u9/vvvP2zZsgWXLl2ixa/YfSAg16cNGjQI5cqV0/r4rI398ccfWLt2LV6+fCmIC5G/s7Ozw8KFC1G/fn2a8KZYRDMzM5Mm5mZkZCAgIIAWsiJre7lcjvr162PRokU82eYTVmRkJE6cOIEdO3YgMTGRPl+2aF/Dhg3h5+eHJk2aANDOd7J/+/DhQwQEBOCXX36h8wO2YEuxYsXQp08fdOjQAZUrV6bHYLstsraZnJyMoKAgrFu3DoDQNmvWrImFCxdqtEfGZTpS9GU7duzAvXv3lNqLo6MjRo0ahW7dusHFxUXrc7Hzxj179mDXrl348OEDAOSLCVSsWBF+fn6oW7cuPDw8BL6VjdkCQFRUFA4ePIhNmzYByJsjkMLCs2bNQqtWrQzxcXEVkli7vHbtGmbOnImoqCile5VisRirVq2ic01txdplYGAgli5dCiD/XqW7uzu6dOmCIUOGoFixYlqvuQqKbfr7+6NLly46XTsrFgTi6/WCpen6VdO/IwUvli5dSouksNANALi6umLEiBEYOnSoVsdW1MePH3Hq1Cls27YN8fHxdAxWzDuqW7cuypQpgw4dOsDJyYmO5+/evcP58+fx9OlTvHjxAkAe8EXmpSxAzm3p01Rqaip+/fVXrFixQmAn7H512bJlMXnyZAr36fqsw8LCcODAAezbt4/6IOIbs7KyUKpUKSxcuBC1a9eGjY2N1ufy9/fH9u3bAQj95ubNm2mHbn2VlZWFzMxMnfICvySpAmZZER/4448/olWrVho/78jISGzfvh2BgYEA8u9tm5ubo2nTppg/fz5KliyptR+NjY1FQEAAHYfZ45M9c+K7HR0dYWdnhypVqlCQ8s2bN4iMjMR///1Hj6kYk+rduzeWLVsm+Ly4TFvEPj98+ICffvoJ586dQ2xsrNLcic6dO2PYsGE0Nqir33z8+DGWLVuGv//+W9BUgtiStbU1lixZgtatW1O/pGzOqXh+kkcACPeEunfvjhUrVhjEHrldF57YGPL27dtx4sQJWsiU7FcSH9aiRQv4+fmhfv36ghw1bc/15s0bLFmyBDdv3kRGRoYgR0osFqNkyZKYNWuWIKdYG61atQq7d+8GIBzTf/zxR3z99dc6HVPxHoDcfTRbW1u9jselmR4+fIgVK1bgn3/+of5MMe4+ZcoU9O/fnxar1kasLZ8+fRqLFi1CcnKyoKgwGbs9PDywcuVK1KxZk+6Bs8UJAGEOUHZ2Nvbs2YM1a9YAEPrNpk2bYtGiRbyAHxdXIYpDs1xcXF+0yGSWTMKvXr2K2NhYhISEwNramgYoypUrBwcHB42PawrgrGJVE3ZDR1nVHGUTSiC3kgqZuHGgsHDF2tHevXuxYsUKALkd/erUqYPJkycLwL6CVFTg7MSJE/HixYt8QBfRjBkz0LNnT5pYyCZHyOVyQWWg9PR0BAQEwN/fH4AwQaJOnTqYN28eT5AoJBVkl2Rh5+7ujr59+2LgwIEa+U1TAGcVIS8LCwuMGzcONWvWpMlCynT37l1cuHCBVu5lN7YtLS0xc+ZMDBgwQKfr5TIdEThQFThriLGyIHCWDUSKxWJ06tQJffr0QbVq1WBnZ6f0WNevX8fvv/+OoKAgAELbNDc3x9SpUw1SaIBLO718+RL9+vVDcnKyoMM50acCzrLHOXr0KP7880+cP3+e/p7AE2xCGRnTSSI7APTr1w9eXl40OM3nmUUvFgCTSqVo3bo1hgwZQqGSTw2cbd++PTp27IjOnTsrvVbFYgNZWVkIDAwUVL4nx2revDkWL14Md3d3nsTziaogcJbYQWGAs2Rea2VlhV69eqFDhw4CaIskiJPq4yRZPCkpCcHBwUqTxatWrYoFCxagdu3a+n9IXCpV0DqIVCquVq0aJk6ciGbNmqk9VlGAs3FxcZg0aZIAnFWc13bt2hUdO3ZEs2bNVMan/vvvP5w+fRpbt24FIJxrOjs7Y9asWejatavW18plOioqcFZZ8SDF8byg+bCiz965c6fSjej+/fvj+++/1/pauYpeBYGz5Nmy8aPCAGdLlCiB9u3bo3///ihXrhw9jybn27Ztm2BcZ7smTps2TadrVRRPMCt8FSY4e/nyZfj7++cDZ8m6WyaToUWLFvDy8lJZ+Ofy5cu4cuUKgoODAQjHdIlEgunTp1PogqvoxM4dWfhZUxUmOPvgwQPs27evQHBWJpPBzc0NQ4YMQbNmzQrchzp37hyuX79OiwsQ0Ias3aZMmYKRI0dq9TlwmYY0AWdJvMiY4Cx5ncTe7e3t4erqitGjR6N8+fKoUqWKIIEYAPbv348HDx7QrtyKANiYMWMwadIkfT8iriKQKYKztra2qFy5MhYvXizoqq1rkV8vLy98//33tKAGl/GkWOz24cOHiIuLw5s3bxAdHY1ixYpBJpOhRo0aKFGiBKytrel71Y2/pgDOAsiXT0RskPxNTk4OnWuQOSq7F9+1a1dasIXvC33aMiVw1s3NDX379kWHDh0EnQkVz6f4nSCNCwCh3+zUqRMWL17MgZhClLoOs6yIf1m3bp3SPUBVMjY4m5mZif3799P9VgCCOQWZ67L2pijFdRS53y5dutCcOe4/Py2ZCjirGKfy9fVF06ZN0bp1a5XHCg0NxcmTJwVAOJm7urq6YubMmVp/F7lMQ6YGzpLzzp49Gz169KDjsDKfp+ifC4K6DVnol8fci0aK4Kwy32kocPbUqVP4/vvv84GzbJ5Hv3790LBhQ5Ug9o0bN3Dx4kXs27cPgNBvWlhYYPr06YKmKVxcXMYXh2a5uLi+eL19+xZbtmzB8+fP8ejRo3y/l0qlcHR0RNu2bdGsWTNBJTlVk39TAGfJ+Qu6TrZSLllYkIlkqVKl0KlTJ0yZMoW+zjshFZ4KSsglnRPMzc3RpEkTjBs3DrVq1VJ7PHXgLLuIMBQ4++rVK3z33Xf5wFk2+bF169aoXbs2Ro4cSTdNFHX+/Hn8+eefOHToEID8CRLTpk3D8OHDdbpWLu2kCphV7Ng6YcIEDBs2TKMAiSmBs+RcEokElpaWaNOmDcqVK4emTZsiIyMDcrkcoaGhuHr1Kh4/fozw8HB6DDZBYtCgQViwYEG+83J9mipqcJacg/zfzc0NxYoVw9dff43ixYtDJpPBwsICL1++xJ07d/Ds2TOaAKRomwMGDMCiRYvosbhtFo7I2Lhjxw6sW7eOjmEAKBigWIHOlMFZ1sazsrJoMuOVK1cQHx9f4CZfqVKlUKdOHXh7e6NJkyb0GDy4XPRiE6osLCyQnp4OAGjXrh2GDh1KbUSdigKc3bJlC8LCwpSCs66urvDy8sKIESPg7OxMq4wr6u7duzh//jztRqdYCGPatGk8aP0ZyJTAWalUCmdnZwrPfvXVV0r94IkTJ3Dr1i0cP34cgHAtJJfLDdZllku11K2DcnJyYGlpiRIlSmDhwoVo3Lix2mOaCjgLCNdbTk5OKF26NAYMGIDixYujUqVKEIvFiIqKQkJCAn7++Wc8evQIf//9N/0M2Lnm0KFDMXv27HyfG9enp8IGZ5ctW4YnT54oBWfd3d3Rtm1bTJw4Eebm5jA3NxfMa8l3BgDCw8Nx7Ngx/O9//wMg/J66u7tj7ty5Olcp5yp6qes4yybDFAY4K5PJ4OHhgXnz5qFBgwaCsZxcK7vWiYmJwaFDhwSd40khjIoVK2LOnDkqi7dxGVasXZC5IElEBaCTzZgCOKsIMdSvXx+urq5o2rQpHbdDQ0Px999/48mTJ3T+oTims0UG+JheeFL2WauKmWgaTzEFcFYxnlq6dGmUKlUK5cuXh5OTE3JycvDmzRuEhITg33//pftXir63b9++1C/zeNKnKVXgLPFlhQXOKismZGNjgwoVKkAmk8HOzg5hYWFISkrC27dv6d8o2mXPnj3pOpHb5acpUwRnAcDe3h7jx49H9erVUbdu3QKPef/+fZw/f552VWKPZWVlhVmzZqFv3746XS+X9nrz5g0OHDiAJ0+e4MaNG0r/xt7eHg4ODujfvz9q1aqFevXqaXRsUwBn2e8LmUOzkCx7TRKJRLBe69GjB7V5DnyZlnSd82sCzpYpUwZTpkwxGjhL5g3W1taoUKEChg0bBi8vL1haWtL3Ktrb8+fPcerUKezYsQOA0G86ODhg5syZ6NGjh9bXyKWbtAFmgby99EWLFqFfv35an8/Y4CwA/PLLL1i/fj0iIiKQkZEhOIfivSjmDQDCmL1MJkPPnj1p/hHP3yxcKYvxFfQ3qmSq4Ky1tTVat26Nli1bonr16rC3t4elpSViYmKQkpKC48eP49GjR/jrr78A5I8fDRs2jObe8fjRpylTAmfZfaGePXuiadOmatddL1++xKlTpwos9Dtz5kyd125cukmVXei6NilKcFZxbCZdjNu3b48SJUqgVatWyMrKQk5ODkJDQ3Hr1i08fvy4wLzNgQMHYuHChfnOy8XFZVxxaJaLi+uLVVhYGG7cuIHNmzcjKioKQF7XTTLZYbtikSDvwIED0blzZ9SvXz9fdyJFmRI4S66H3Kcy929hYQGRSAQfHx80atQILVu2BMAD1oUtVQm57IaDXC5Hhw4dsGbNGo2qIakDZ43RcVYZOAvkr0Bavnx5eHh4oGnTphCJRLC0tMTz58/x77//4vHjx0hJSaGfAbsR3a9fPyxevDjf58ZleKmyS/Iszc3NkZGRAWtra5w4cQKlSpXS+vhFDc4Sv0wCKETKunSzFXJ5hUfTE3nWBfkGbQMxRQ3OsvdDzseK/R2xV26bpqe//voLU6dOxfv37wXdZl1cXODk5IR///0XwKcBzipTTEwMXr16hadPnyIxMRHR0dFwdHSEi4sLypQpgxo1alDQgct0dO/ePfj6+iI7Oxvm5ubIzMwUVDpu2bIlfH19NU7gNwVwVjFRp2zZsihZsiTatWsHZ2dnyGQySCQSvH79Gn/++SeePn1Kkx950PrzVkHgLOsXa9WqheHDh6N9+/YADA/OsusuAHBzc4OzszMqVaoER0dHyOVyvH37FuHh4Xj+/DmdAyuuhXr37o1ly5bRf/OkXONI3focyC1ulZGRARcXFxw+fBglSpTQ6NimBM6yvjg7O5tCaG5ubsjJyaFwBemyxH4G5DrZuTC3yaKRugQebZ9LUYGzBY3nVatWRePGjdGhQwcUL16cdklKTExEcnIyjhw5ggcPHuDPP/8EkH9M9/Pzw9SpU7W+Pi7DiF3TEhgGEK5NNRlzCwJnSSIlC9EaC5xlx3HiR3v27IkGDRqgffv2gjVPamoqcnJycOLECdy5cwe//PILPQ5rn+PHj8e3336r0/VxaSdtfKG62JIymQI4C+TFUgvaCwJ4/MhUlZqaiqSkJJw/fx4xMTF48uQJ0tLSkJGRAVdXV5QvXx7lypVDq1atYGlpqfHzMQVwFhBCZ4rxdiIyJ1W0Td6Z7vORqYGzgHq/WVBxAkPsCXDpJ119larfFSU4q1jk18zMDFZWVujcuTPKlCmDZs2aIS0tDVlZWXjz5g0uX76Mf/75B69fv6bHYOeZPj4+mD9/vtafFZf2evbsGf7880/s3LkTsbGxAIS+g93fI0CAmZkZbG1t4efnBx8fH432TkwBnCVi58ts0SqSM0DUuHFjeHl54ZtvvgHA/WVRS1N70PQ5mULHWcV9+7Zt26JChQr4+uuv4eLiQmOskZGROHXqFJ48eYJ//vkHQH6/OWTIEMyZM0ev6+TSXKqAWSAvbs12eyPPm+zf6eLjjAXOsjbz8OFD/Pzzz/jll1/w8eNHwTqHLUJQUDECAKhXrx46dOiAIUOGAOD+szCl+MxjYmIQGxuLhIQEpKSkwMLCAs7OzvD09KT+SF0cyRTAWXIMdl+UzE2srKxgb28PmUyGjx8/AgDdswLy7wl1796ddvbke0KftkwFnAWE3wMLCwvUr18fbdq0QbVq1eDq6goLCwvExsYiMTERp06dwj///MML/ZqIlPmBzMxMOq4qkzbPxdjgLHv9BYGziuM0eU0xjsTj7lxcpicOzXJxcX2RunHjBg4cOIA///wTycnJ+YIfihXFFSvZ1KhRA126dMGQIUPUVpMyNXCWVc2aNVGtWjWIxWLY2tqiWbNmcHFxQdmyZZUek8v4UpeQyyZ/2dnZ4fDhw1qBraYEzrKBF2UV9Yj4IqLopQ6YFYlEtMCAs7MzgoKCULZsWa2fi6mAs0SsjZIFryIsyVbItbS0RPfu3WkXBm6XRaukpCSIxWLExMQgNTWVVpN1cHCAra0t/Tt2Y0XdeGcK4CwRmZ+w52crkbK2aWVlBW9vbyz6/w6z3DaLVitXrsSePXsA5D0zKysr9O7dG/fu3cPjx4/p74DCA2eHDBlCq5nrEjDW9Hr43NL09PbtWwQHB+P06dP4+PEjHXsJBAYAGzdupAChJjIFcJaM4YqFMADQ85Bxv6D5Jk/I/TylKThrzI6zQP5qpMrEk8WLVtqsz52dnREYGAhPT0+txjpTAmeJ2BgYm/DIzkkVE8V79eqF5cuXC87DVXhStLnExESkpKQgIyMDsbGxsLa2hru7O7KzswVd1zWx1cIGZ5cvX47Hjx/nS4Qj10vO6+zsDFdXV2RmZiIhIQFZWVmIjo6mx1MsNMATeIpOyj7vtLQ0GmfJzs4WrNEB9eOuKYGzioBNxYoVYWlpidKlS0MqleL169eIi4tDSEgIPZaifbI+lNtn4SglJQURERH4888/ERMTg+fPn0MsFsPV1RU2NjaoX78+ypYtq3Nc3BTAWcWkWzbRmI0nsftednZ26NatGwVr+JheuEpMTMSLFy+wYcMGREVF4eXLlyr/vkKFCujQoQPatm2LKlWqaHQOUwFnWbHxTHaewdqms7MzOnfujLlz5wLgtvm5SBNwlvhNY4OzxAYV7Z2sgch6CAC1y7Jly6JDhw6YPHkyfZ13/CpcKRYNunHjBtLT0/H27VtERUXB1tYWJUuWhI2NDRo2bAixWEznYZrkdZgCOKsstskWM2btlkCLbM4L30svPJ09exa7d+/Gf//9h9TU1AJBPiKyx8fu/fXt2xc+Pj6oXLmy2vOZAjirLN1UJpMhNTUV1tbWcHFxQfny5dGxY0c0atSIFr7itlh0UrSBly9fIj4+HpGRkYiOjoabmxusrKxQvnx5FC9eXKtjmwI4C+Rfo8tkMkilUohEImRmZiInJwfp6en0WLwoYNFKHTDLrqHt7OyQkJAgyOds3749Nm7cqPP5CwOcTUpKwrt377B27VqEhYUhLCxMMG4DENxvdnY2LC0tYW5ujlGjRqF58+Z0XOD+s/D18eNH/Pbbb7h9+zZu3bqFmJgYgQ1aWlqiXLly+Oqrr9CnTx9UqVIF1tbWAAr2ISw4u3XrVpw9e1YlOPvNN9+gZs2agvdqq4LAWSBvPsmeV1kuNLtGB3ILCJI9M26bn4dMCZxVLPRLcuAcHR1hZmaG2NhYSCQSlYV+vb29sXr1asH5uIyv5ORkvH79GhcuXEBkZCRevnyJjIwMODs7w9zcHJUrV0aTJk1Qrlw5ODk5AdAPnFUWdzc2OEvykMj/iX9UlVMsk8nQvXt3nrfJxVWE4tAsFxfXF6ezZ8/if//7H8LCwmiCKtlsIJMvxZ+J2GTW4sWLo1u3bpg8efInCc7K5bkdl7Zv365VN0gu40kbMNHJyQnBwcE6gYmmBM6yYhfY5H7YZAmyiHBwcEDXrl0xb948AHwRYWxpY5eOjo7Yv3+/TnapeL6HDx9iypQpCA8PLxCcXbBgAQYNGqT3fRXUcbagCoDEZ7NwQ8uWLdGqVSv4+PgA4HZZmGIhl+zsbJw9exYfPnzAb7/9hqSkJMTFxSEpKYmOqa6urnByckLt2rXRpEkTlClTRtANTF0wpqjBWTZRnIj122zCBAC0a9cOLVq0QL9+/fS6Hi79RWw1NDQUkydPxtOnT2lihJmZGfr37w8nJyccP34cYWFhAAoPnBWLxWjXrp3e4Kzi+9iEXF650bQVERGB4OBgHDlyBLGxsYJK8N999x3Gjh2r9TFNAZxlkx6VvcYmEykWwvD29sbixYsBcN/5OcoUwFnF42mSLF6sWDF06dIFs2bNAsBt05jSBph1dHREcHAwPD09dXomRQHOxsfHY9KkSbhx40a+jT5WinEyxaJXtWrVQps2bTBq1CgAPFG8KBUdHY379+/j0qVLePr0KcLDw5GTk9slWCaToXjx4nBycoK3tzcqVKhA53yayBTAWSI2+ZH9Hfu3ilA3C8xyv1k0SkhIwOvXr/Hrr7/i5cuXtJM6eU41a9ZEyZIl0bVrV5QsWVIjGKYgcDYzM1MQqwKMB84SW2TBbsVinOxckwA3bAIv705XuIqIiMDz58/xv//9D5GRkTTxS1FmZmaQSqXo2LEjqlatir59+0IqldJ5gCbPyVTAWSJlFe9ZderUCc2bN0fv3r0BcHssbN26dQu//fYbTp06hfj4eEESNVlDs3MxYkfm5uaws7PDggULNC50ZSrgrGL8XdE+yXyjV69eaNKkCfXj3DY/L7H2cuXKFWzfvr3AjrMODg4YNWoUvL29jdZxVtkYzsrS0hJSqRQ+Pj5o3Lgx/Y5wuyw6vXr1CocOHcKTJ09w+/btAv+uTp06KFeuHEaNGoXSpUsrzQkhMjVwFlBe5FdV/Mjc3Bw9evTgsc1C0qFDh7By5UqkpKQAgGC8Iz5McUxXts4FcgEwPz8/2lVOlUwFnCXfl9KlS6N3797o2LEjLUgjlUoF5+P7REWvd+/e4fTp07h37x7u3LmD9PR0Gnck+Q/u7u7w8PBAr169UKtWLXh6emp07LS0NPz6669Yvnx5geBsmTJlMHnyZDp3NTQ4S47H+k3Wnxa0JwTwooCFLVXALFkLEd84ffp02NnZYf78+YLCjnXq1MGePXtgZmams28xFjirqIyMDISHh+O3337DkydPcOfOHcjlcqSkpCAnJwdmZmbw9PSEs7MzunXrhq+++goVK1ak7+f+0/hiP+OQkBDcvXuXxo+IP8nJye2mLpfLkZmZKbBTiUQCb29vtGnTBm3btgVQsC9hwVlNOs4aE5xVXAOxPlTxWgCgevXqaNu2LcaMGQOA7wl9bjIlcBbID3UT+2QL/ZJr41B30erDhw948uQJNmzYgI8fPyIqKiqfL2HnZA0aNICXlxdGjBih9blMoeOsqri74r9bt26NVq1aYcCAAQC4TXJxFZU4NMvFxfVF6fDhw1i+fDkFBNnEWMUqneQ1RUiF3XxwcXGBr68vRo0apXbSb2rgLDlX6dKlsXHjRlSuXJlX1SlCqQMTAQgScvUFE00NnC0oMUJR3bp1Q7NmzdCjRw8AfBFhbKlLFCc/G8ouFc9blOAsG0xhVaZMGYSFhcHV1RWurq6oVKkSvLy8ULduXTg7OwPgdlkUev/+PYKCgnD//n3cvXtX4E8UK8UrJhFUrlwZXl5e6NWrF1xcXGhHWlUqanBWMfFRLBbDyckJYrEYlpaWFApu3LgxGjZsCCsrK72ug8uwSktLw5IlS3D06FHBJm6jRo2wZs0a/Pbbb9izZw9ev34N4NMEZ7k+Tb179w779+/H8ePHERUVBSA3mExAKF3WCqYAzhKfqWwtBEDQiQwAvLy80KJFC14I4wuQKYKz5BysyFjRr18/NG7cGJ06dQLAbdOY0nZ9rg8wS2RK4Cz7OQCgBT4yMjIglUrh6uoKZ2dn9OzZE/Xq1UOlSpUEx+UqXL158wYPHz7EunXrEBsbS2M7QF7cU3G9UqxYMbRv3x7ffvst7OzsNEpoMAVwVnHTmfyfnc+y8d2KFSvS+wR4Ak9R6MOHD3j69CnWrVuHmJgYfPz4kf5OMeYO5HYSdHZ2xqxZs1CjRg3agbYg+1TVcRZAoYCzbIclZcdkbVUkEtFrK1myJDp16oRp06YB4PZZGPrjjz9w5MgRXLt2DSkpKYK5nzJYj4WbGzRogLp162Lo0KG0Ar4mMhVwlgUwS5QogczMTBQrVgx2dnaoX78+atasibp169K9KD6mF65OnTqFTZs24f379zTplk0iA1Cgn2HH+OnTp6Nv376ws7NTe86iBmcV78/CwgJOTk4oV64c5HI57Ozs0LhxY5QrVw4NGzakf8f3MD9PmRI4y85vRSIRqlevjipVqsDZ2RmWlpZo1qwZ7O3t4eHhofSYXIWnx48f49q1a9i5cyddO5PnxsYX5XK5wOc4Oztj6NCh8PLywldffQXAtMFZdj5CxF4rC7kRNWvWDF5eXvD19QXAx3Vja/fu3bRIExu/Ye1DWadZQPiM2flh165dMWXKFLi7u6sdf00BnAVA55qNGjXCyJEj6fwhIyMD5ubmWp+Ly/B68eIFbt68iZ9++gnR0dEA8sY+AnUDoJB3VlYWbGxs4OzsjOnTp1MATJ1MBZwFhP6S7RjPFo0FgLp16+Lrr7/GyJEj6d/w9blxpQ0wS/YpDxw4gEWLFglAPxsbGxw/flzvRiHGBmeV/X18fDzS09ORkJAAqVQKiUSCkiVL8nllEYn1QxcuXMD+/fvx4MEDpKSkqOwerwhqicViODs7Y/DgwRg9ejQA3cBZMqctzI6zqoAvZ2dnODg4oF+/fmjQoAGqVq2q8t64Pm2ZGjgLCONi7HdRMb+zdu3a+Prrr3mh30LWH3/8gZMnT+LKlStISkqiflMxzqIIQMvlcrRr1w7Dhw9H9erVYWZmprENmQo4y+ailixZEh8+fKBFjGvUqIHGjRujbt26cHBwAMD9JhdXUYpDs1xcXF+M2IQWxYRDIHcSbWVlhVKlSiEtLQ1ZWVkICwsTJBSQCT87+a5QoQLGjBmDrl27qr0GUwVny5Qpgw0bNqBy5cpan4dLf6lLyBWJDNvJk0gdOMsuIgoTnAWAypUrIyEhAcWLF4e9vT0aN26MKlWqoE6dOnQxyzeijauiAmYVz28q4CwJSm7YsAFNmzZFSkoKhWQVA4kcMCs8hYWF4caNG9i8eTMFvABh8q1ixXDFQAxJKChTpgxWrFiBunXranRuUwBnyXlcXFzQrVs3TJgwAZaWlvR6WHHbNA2R5/Du3Tv07dsX0dHRAnBq4sSJGDduHPbu3Yvg4OBPuuMs16epiIgIBAYGYteuXZgwYQLGjx8PQL95lymBs0QSiQQymQwSiQTm5uZwcXFB1apV0apVKzRq1IgGznnQ+vOXKYCz5JhAbrK4q6srKleuDJFIBBsbGzRr1gwlS5ZE7dq16bH4Wsh40mZ97uTkhODgYIOtg0wVnC1ZsiTmz5+PrKwsWFtbo1KlSjA3N4eNjQ39O26TRaPff/8dx44dw61bt+hGNFnjKIL5bDI1WRM1atQIvr6+aNasGWQymcmDs2wxpIIqVDs4OMDS0hKDBg1C3bp1Ub9+fXpMPqYXrq5evYqff/4Zly5dogmAJEmFjcmziS5k/LW0tMTAgQPRqVMntclgqsBZuVwuKJBizI6z5F5YKfpUmUyG7Oxs+Pj4oGHDhmjdujUAbp+FocOHD2Pt2rVISkqiSeBsAqyiyLNU7Erk7u6OyZMno06dOhSYUmdLpgLOArn2Onv2bLRs2RIlS5ak37+CjsdlfAUFBWH58uXUzhRhbnbsUywCTMTa0qRJkzBs2DBYWFioPbcpgbMymQy9e/dGnz59ULlyZW6HX6BUgbOK3doLo+MsuaavvvoKS5YsQa1atQx0p1yG0JkzZ7Br1y68evUKqampSkEGdr2gmDxrZWWFBg0a4JtvvlHp39jXrl+/jhkzZhQIzopEIqxatQre3t463ZO24CwAeHh44O3bt3B2doarqyvKly+PNm3aoG7dunBzcwPA55nGluK6gIzdBOSys7NDu3btUKJECTg5OSE6OhoRERG4du0a3r17J7BfQDj3HDlyJC2w8ymAsywsXK9ePYwcORItW7bU6Pq5jK9ffvkF+/btw5MnTzT2m+Tf5LUJEyage/fuGsGJRQ3Osn6TvS8SH5BIJHBzc4O7uzu6d++OBg0aoGzZsgC43ywM6QLMAsCxY8cwZ84cwZrazMwM+/btQ/Xq1fW+Lk3A2WbNmmH+/Plwd3fXudAwa5sFicfaC1fs8zhy5AhWr16NxMREwTocyA+SKr5fMV9o2LBhNP+soGeqCpwFCrfjLHtNFStWxIABA2BnZwdra2tUq1YNMplMUKSL2+nnLVMCZxW/d+z5pVIpnJ2d4eLigt69e6N+/fq0OBIf0wtHJ06cwIYNG/Dhw4cC4+7K1ufs2qdevXoYOHAg2rVrp1FMk8gUwFlyn1KpFKtXr0a9evVgZWUFGxsbHnfn4jIxcWiWi4vri1BAQACWL18OIH/A2sXFBZ6enhg1ahRKlCiBsmXLIisrC6mpqbhx4wZu3ryJM2fOIDk5WVCZjt2Ybt++PVasWAFra2u1kxttwdk5c+agY8eOHJz9TFXUYKIpdpwFcoPuI0aMKNDu+SLCuCoqkLug6zAFcJb4fEtLS+zevRt16tSBXC6nC36uwtelS5dw+PBh3Lx5M1+FR2VVEBU3xsjv2OTuRYsWadUxxBTAWXI/xYoVw/DhwzFs2DAAvHqzKYvAqT/88AN27twp6P5VuXJlbNq0Ca6urti3bx8OHz6M0NBQAIYFZ4ODg3H06FHEx8dzcJYrn968eYOIiAjazUXRtpT5Mk3WQEUNzrLJxiQZYsCAAZDJZLCysso3nnO7/3JUEDhLfHNhgrNSqRTe3t4YMGAA3fjmKjypWwcBwg6zxlgHmRo4S34eNmwYpkyZAjMzMwA8IcIUdOzYMaxZswbx8fE0MVUxgYfEL5UlFRA7+uqrrzBgwAB0794d1tbWas9bVOCsssJI5ubmKF68OEaNGkUTIxs2bAiJRAJ3d3d6LG6vha8TJ05g7dq1iI2NFSRKKILcQJ69KiY0SKVSNG/eHIMHD0bz5s3pe7QBZzMzMwUxLMC4HWfZ+5JKpShVqhQ6duyIjx8/ws7ODs2bN4eLiwtN3GGvnct42rdvH5YtWwYAAr9F/CbbWYnYK7tOUSy+Zmtri2bNmqFPnz5qbZPIFMBZ4qNtbGwwdepUeHt7a7SfxWU8sZ3pyFjJFhWQSCQQi8VwdHREeno6srOzkZSURN/PzlHZnxcvXox+/fpp9GwLAmfJmtzY4Cy7FrK3t4e3tzd8fX1RunRpbptfoDQBZwur4yyZR2dnZ8PT0xMLFixAvXr1eLzdBHTo0CGsWLGC7mWzMRy2ABq75mHjO6x/q1ixIqZOnUrHc2UyJXCWiMxvt2zZgqpVqyItLQ1ubm40rqTs2rkMr5MnT2LOnDn55o9yuRwNGzZEt27d8PXXX9MCzKzevn2LFy9eYP78+YiKilKauwMA/v7+6NKli0bXoyk4O3LkSAwZMoS+bghwVtFHE3DWz88PLVq0AMDtsSh1+PBhrFq1is4j2TkY8ZXK9lCIWJv08fHB4MGD4enpqfa8pgDOAnlrwLJly6Jv375o0KABAMDT0xNisRiWlpb0ONxOjS9dgVkAePbsGXx9fZGcnCwoJjRp0iSMGTPGIM+vMMBZLtMSazd79uzBypUrAeSPH7FzMSLFAldEbJ7lmDFjMGnSpHznUnYNpgLOkjFgzpw56NevH/WT7N4V95VfhkwNnCXfOU9PT4wYMQIODg6wsbHBV199BUtLS1hZWeU7Hpdxxe6RAHnzTFIsj/hIAHTdRNZM5HfEhqpUqYIRI0agQ4cOdC9aEymCs8ri7sYGZ8n81t7eHqtXr0arVq3yvZeLi6voxaFZLi6uz16KiY5swLpevXro2bMn2rZtCwcHB6XvT0pKwr179zB9+nTEx8cLAjbsxG3u3Lnw9fXV6Jo4OMsFmA6YaEodZ1ngbMKECZgwYQIAXv2pMGUKieLKrqeowFni84E8gN3CwgL79u1DzZo1+QK3iHTs2DGsXbsWcXFxgkRHAsGS5C7F4DQAQeEL8sydnJwwffp0dO/eXetrKWpwFsjb8HZxccHw4cMxfPhw+jq3T9PVzZs34efnh8zMTIGPJb4sLS0NwcHBOHToEAdnuYpMqoDZ/fv3o3Tp0mjWrBmATwOcZYsNVKtWDb6+vujRowcAXmzgS5cpdZy1tLREhw4d8M0336BKlSoGvU+ugqVtQavg4GB4enoaZR1kSuAsm+DRr18/zJkzR5BMxlU00jaBB4BgPGcTDORyOSpUqICRI0eic+fOGo2FRd1xVrF40NChQzFy5Eitj89lHLGAIiBMlFAsTEZ+rwhPsfPARo0aYcyYMbSgS0FSBc4CwriWMcFZNl7l5uaGn376SQDJchWujhw5gnnz5gHIvzcE5Mb95HI5ihcvjvT0dERFRcHS0pLGxsn7FLt/SSQS2NraYurUqejbt69G16IpODtw4ECUL19e63vVBJxlO+zNnj0bXbp0ESSUcRWeDh06hAULFgDIb5ulSpVC2bJlMWjQIDg5OcHNzQ05OTmIiYnBH3/8gUePHuHy5cv0vWQvibWlgIAAtX6TqKg7zrLrLhITGDRoEEqXLq3NR8r1mUgTcLawOs4CoHsN5cuXx7x589CgQQNeRLUItWvXLqxevRqAcG2s2BlemdjkXPI+iUSCWrVqYfr06ahTp06B7zUlcJYtBOvk5ISAgABUqFABAN9LL0zdvn0bs2fPRnh4eL7CF126dMHcuXNhb2+fb63DJo0DucUrp0+fjgcPHgjWE+R5t2zZEsuXL9fYx2kCzrq5uWHEiBFGB2elUinq1q3LwdkiFlukRVn8SBGQJX9H7JD4VnaeOXz4cPj5+cHR0VHt+U0BnCX3Y2VlBS8vL4wdOxYVK1YEAGRmZmoFZXDpJ1XALJC/KxwBZsn7QkND0bt3byQnJwPIiy0NHDgQCxcuNNh1cnD2y5TivItdo0skEtjb26NatWooVaoUcnJykJSUhOjoaNy6dQsA8hW1JPYskUgwb948DBw4UOX5TQmcZc81ceJEDBgwQKvGA1yfl0wJnAXyoO7x48fD19eX5vtzqLvwdfjwYcyfPx9Art8gtsAWFZXJZHByckJ6ejrev39P92vYsZXNsaxfvz4WLlyIihUrajW+mkLHWZb1WL9+vcriXFxcXEUjDs1ycXF91lIFzLZt2xbTpk2Dh4cH3ShRNdF6/vw5hgwZgri4OKUBwmrVqmHr1q1wdnbWaPKtDpwlm9EcnP08ZWpgojpw1hgdZ0NCQvDdd9/h+fPnBUKQEydOxLhx4wxwh1yaSNtEcWPbpeJ1aQLOLly4UG3AUd15gPzgLEmyJD9zcLboxAaslW3wET9apkwZWFpaQiQSIT4+HllZWfj48SM9jlgshlgsRlZWFrp27Yq1a9cC0C2orAk46+3tTRM6jAnOFitWDMOGDePg7Ccif39/bN++HUDeHMDFxQW7d+9GxYoVkZ6ejuDgYBw8eJCDs1xFLtZ3zZkzB8eOHUO7du0wdOhQ1K9fH8CnAc4Ced+fypUrY8iQIejVqxd9nfvML1em0HGW2LyFhQW6dOkCX19fDs4WgkyloBUrUwJn2fVW//79MWfOHFhYWBjuZrm0UkBAAJYvXw5AOQBmY2ODChUqoGTJksjOzkZ2djb++usvpKenIzk5ucCOtDVq1MD8+fNRs2ZNjWw7MTERCxYswLlz54ocnHV0dISvry+NH/HxvOjEAt3KuibKZDLY2NjAw8ODdkmOiIhAeno6gPzFrkiydefOnTFu3DiULVtW5fnVgbPsz8buOEuOW7JkSaxfv17j7xaX4fTbb79h7ty5NDmb9ZdVqlRB5cqVMWDAADg6OqJ06dJISkpCREQE4uPjcfDgQbx8+RJPnjwBAAqoKBYdAHKTtIYMGaJRwo0pdJzl4GzR6+zZs5g7dy5SU1Pz2aaXlxd8fHxQu3Zt2NraKn3/hw8fcOXKFQEQrrhf2bx5cyxduhTFixfX6Jo0BWdHjRqFxo0bA+DgLJfxpAqcVewC6+joiFGjRqFbt24cnP3MFRwcjMWLFwPIvw6ysbFBsWLF0KVLF7i5ucHR0REikQjXr1/H27dv8ccff9DjKMZ6zM3N4e3tjYkTJ8LV1bXA85sKOEuSkMm81sHBAcHBwShXrhyfaxaS4uLisHnzZhw8eBCZmZkCILZHjx50PaRO5Hm9ffsW33zzDd6+fZsPzJLJZNi5cyfq1q2r8bhblOCssvkDB2eLToprVdZvWlhYwNbWFs2aNYO7uzvs7e0RFRWFsLAwPHr0CO/fv6fvUwbOLlq0CAMGDNDoeRY1OMuey9LSEi1btsSYMWNQtWpVrY/Ppbv0BWaBXP82ePBgPHr0SODXypQpgwMHDsDOzs5g4yAHZ78sHT9+HLNnzwaQ31/Wrl0bLVq0QM+ePVGiRIl88N7t27dx5swZXLx4EVFRUfligwBQq1YtLFy4UO1en7bg7LBhw1CjRg3Be7WVpuDswIEDNSqWwPV5ypTAWdY2hw4diuHDh8PNzc3Ad8ylTufOncPChQuRkJCQz29WrVoV9evXR+/eveHg4AA3NzekpKTg2bNnePr0KYKCgvDq1St6LMX8t969ewuKsmoqTcDZqVOnol+/fhyc5eL6QsWhWS4urs9WqoDZrl274vvvv4e1tbVGxyKTnmvXrmHixIn5JjxyuRzW1tY4cOAArUqniTg4+2XKVMFEDs5+2TLFRHFl18fB2S9bbEVcxQRcKysrODs7w8/PD6VKlUKdOnVgaWmJnJwcZGRkICsrC3/88QdCQkJw7NgxJCcnIz4+HlWrVsWePXtgZ2en13Pk4CyXNiK+5u7du5g7dy7evHlDf2dhYYHp06fTztkZGRkICgri4CxXkYr1WQsWLMChQ4cA5M4TWrdujSFDhqBBgwYADAfO9u7dG9OnTzc6OFulShUMGTIEPXv2pK9zn/nlioOzX57Urc/ZZNTCXgex4OyaNWvoeA1wcPZL1bFjxzBnzhwA+WOdNWrUQNOmTdGnTx+4uLgIYodv377Fq1evsGXLFty/f5++rgigtm/fHhs3bqSvqbOlogZngbzx3NnZGT4+PhycLUKxlcUV7fOrr75C5cqVMXjwYDg5OcHDw4N2Bvnrr7/w6NEj7NixA2lpaRSEYYEYc3NzzJo1C4MGDVL7bFWBs4qdGI0NzpLvgYeHB9atW4eaNWvy9VQh6fXr11i2bBmuXr1KbYnYY5s2bfDtt9/C09MTFhYWSm0qJycH7969w+HDhxEYGIjU1FTBXo2iLQ0cOBBDhgyBp6cnANX2pA6cFYlE8PHx4eDsZ6qnT59i4cKF+Pvvv2lBPzLn9Pb2xpIlS+gcS9GOFP99/fp1jBgxIl8nMLlcDhcXF/j7+6NRo0Yaj4mmBs727NkTPj4+HJz9QsXBWS5WJ0+exNy5cykAxc4zmzRpAm9vb7Ru3Zp2GVLUiRMncPToUTx48EAAORL/Zm9vj1WrVsHLy0vlmkVbcHb16tV0rqmt1HWcBcDB2UIWu6czfvx4wX6KXC7H119/jQ0bNsDMzEzjsZc8r8ePH2Po0KFISkrKN1/r3Lkz1qxZQ+NAmsiUwFmJRIJ69epxcLaQdeLECcyePZvOE1m/Wa9ePXTq1AkdOnRAsWLF8r3333//xV9//YWlS5dSX0lE7NLMzAwBAQEqu3Sz0hScnTJlCtq1awfAeOCsTCZDixYtMHbsWB5zLySpAmaJjaoDZokmTpyI8+fPC7okW1lZ4dixY2oLrWmryMhIbNu2DUFBQQA4OPu56urVq5g9ezaioqLy5R917NgR06dPR7FixWBubk6fMfEtRNHR0bh58ybWrVuH8PBwpWPhrFmz4Ovrq9EeOgdnuUxRuoCzDRo0EBQh1PZcmoKzI0aMUFkAicuwevbsGRYuXIiHDx8K9gXlcjk6dOiAiRMnwsPDAxYWFko7ACcmJmLRokX4448/kJSUBECYly4Wi7Flyxa0atVK62tTB86KRCJMmTKFg7NcXF+o+Eydi4vrs5QqYNbb2xtr167VGJgF8jbFatWqhc6dO9OJGpFUKkVycjKuX78OAHQSpE5sIKdNmzaYPHkyPD096WSSraifmJiI5cuX45dffqEgozZiE9dGjRqF7777ThAgB0DPFRYWhu+++w7Pnj3T+jxcqmWqwCyQZyN2dnaYO3cu2rdvT5MsyXeIBH7OnDmDjRs3IiwsTK9zeXp6YsOGDfjqq68EQXdiiwCwceNG/Pjjjwa4Q66CZOrALJDnL2vVqoV169ahZMmSBdrM999/j/379+t1HgDo3r07BTQzMzNhZmYGkUhEN4PS09Ph6+tLk5xYQJLL8Dpw4AB9HuRZk7G9Vq1a+O6773DgwAH069cPTZo0gaWlJQBQ6MTGxgZdunTBhAkTsGfPHqxZswYtWrRA3759YWNjo/dGhqOjI1asWAEvLy96XezxRCIRTp06hRkzZgDIDZQoVpnURFKpFPXr18fcuXNRsWJFQQEMcr6PHz9i9+7d2LVrF32d26dpiTyzevXqoVq1agJ/lpqaiiNHjiAjIwMAYG5uDh8fH/Tv359u+JHnSZ55REQETpw4ge3bt9OkW02euYeHBwYNGoTevXvD3t6eBiHJBk5OTg4uXLiAgIAA/PXXX/Taee2tT0dskR9FERvR5HmS8X727Nk4dOgQRCIR3dQmNnLnzh0A6m1EJBKhcuXKmDFjBpo0aULnmewaKyEhAUePHsWaNWuoPeriM21sbNC2bVuMHTsWZcqUEXwvyLmePn2KgIAAHD9+nL7OfeaXKwcHB3Tu3BmjR4+Gm5tbvoRcuVyOhw8fYvfu3fj1118B6O4XK1asiMGDB8Pb2xsymSyfD05PT8eZM2ewb98+PH361NC3ygX16yAgLwnVycmp0NdBxPeJRCJMnz6djtcABPNNkUiEW7duYdWqVXj69KlO9kjOZW9vjx9++AFNmjQpcL118OBBLF++nHaG5CocXb58GWvXrgUAGs9jN6JXrlyJcePGoVSpUjAzM6PvI8Bey5YtERgYSLsqAnmwLLGj8+fPIyAgAAA0SmKwtbXF4sWL0alTJ3o9ip1Cz58/j6lTp9LkdF3Gc4lEgtq1a2POnDl07kxEzhcdHY2goCAaP+LjeeHqwoULtECUYiy+TZs2WLZsGRYuXIiaNWvCw8MDQG5So7W1NVq2bInx48dj06ZNdC3PQgxSqRQZGRlYt24dXr58qXbdTp597dq1ERAQAHNzcxrTASBIbJs+fTp+/vlnAPqtc3x8fCgwnJWVRccI8j14+/YtpkyZgr///puvp4ws8r2/f/8+7ty5IyhOSvzlDz/8gMqVK8PCwiJf7IYcQywWw8PDA5MnT8aqVavQtm1bWFhYCOyH/Xn//v3YvHkzLUyg6jlXqFABY8eORevWrWnRK5JYRr4/QUFBCA4OFlTd11Tsub28vDB16lSUL1+efg7suVJSUrBixQqcOXMGKSkpWp+LS3MR27xy5QpevHgBIA/CI4V+V69eTe2S/J6VIkDbtGlTrFu3DkCuPRJbFovFiIqKwo4dO7SKd7q5uaFHjx4YOXIkbG1tqT8j3xMC4Gzbtg03b96k16TLfmjt2rXh6+uLjh070vkBuxZKSEjA8ePHERQUhNevX2t0fK7PS6y9tGzZEn5+fqhbt64AsCb2Ehsbi23btuH06dOIiorS+lzsvPGbb77B8OHDacItGzuTSCR4+fIlli5dijt37tA1I5dxdffuXfz4448Cn0TG9S5dusDf3x/du3eHg4ODYK1B1joA0KNHD0ydOhXdu3enxXyIjUmlUsTHx2Pt2rVISEhQudZn7bJp06ZYvXo1XFxclK6d5XI5Zs6cidOnT+t036xdDh48mHYXV5yLmJmZIS4uDoMGDaJwpC5rLi71EolESE5OxoYNGyj0R2yxYsWKGDNmDMzMzJTOLwsS8WkVKlRAt27d6NpcLpfT5/j27dt84KI6kUIX8+bNg6enp8DmybVFRkZi586dNAag6xq6WLFi8Pb2xqhRo2Bvb59v/pCdnY2//voL27dvx9WrVwHwPSZj68aNG/jhhx/o2KXoN9etW4cBAwagWLFidCzLycmhP1eqVAmDBg3C7t274eHhQY8D5PmgzMxM7N+/n4IO6mRpaYkOHTpgzpw5Su0kJycHYWFhWL9+PS5cuABAdzspU6YMBgwYAF9fXxrjZc+VmpqKq1evYsuWLTzmXggyFDBLfGL58uUB5PpPksOUkpKCK1eu0PcZSm5ubhg1ahR8fHwACOM9IpEIGRkZuHbtGpYsWYJ3797xWOQnqMjISJw+fRpxcXH0NeIve/bsiR9++AElS5aEubk5gLw4tGLxHGdnZ+rj3NzcaI4dW+Bqy5YtePPmjdrxnLzP1dUVY8aMQadOneDo6Ej9IbtPc/bsWezevRuPHj0SvFdbVatWDXPnzkXNmjXpPFbxXBs3bsT+/fsRGxur9fG5Pg8RH2djYwM/Pz/06NGDdngl3xviI69evYodO3bgzp07dB9WG9sk5ypVqhTmz5+Pxo0bw9zcXKlt7t27Fzt37qSFr7iMJzLGXb9+Hc+fPwcAQdy9U6dOWL9+PcqXL0/jm+y4CeQ+O1tbWyxduhTdu3eHTCajvpWNDeoSEwdy2Y7Zs2ejevXqSv2ZXC7HunXrcOjQIVqkWhuxY723tzcWLlwIa2trpTGBxMRETJ48GX/++adO98LFxWV4cWiWi4vrs5M6YJYk8OgSrLCxsaGJ3SRwwwat3717B0CzxDIidmHQtm3bfOAsm8TAwdlPW5ok5BY1mKgOnGWvhYOzn4eKyi518cGmAM4Sn8nB2cLVmTNnBJW02bG9ffv2WLVqFQYOHAhnZ+d8z4DAzkAeGFa6dGm0bNkSW7ZsoRvRhqj8ycFZLm1E/NfkyZPh4eFBbUEikeDJkyfYtm0bTe7h4CyXtlJMshWJRIiPj0dcXBySkpKQnp4u6JYBqB+bL1y4QMFSNtmA/I6Ds1yGluLz1jXpT1t/xcHZL0PqClopFg4KDg42yDqItRNNixZwcJYrPDwcx44dQ1xcnGDclsvl6NGjBzZs2EA3ogFh4g674SyRSDB//nx4e3vTNRCJO4pEIohEIty+fRtJSUka25CpgbOBgYEcnC1kvXr1CgcOHEBSUhIdD9kEs02bNqFGjRr5ClgqrtObN2+OKVOmoEmTJjQBHchLyk1KSkJgYCAyMjLU2mdB4KwiYAAA06ZN4+DsZyTS8WDHjh1ISUkRwAwNGjTAzJkzKcwAKN/HIT6F2GDbtm0xZcoUTJw4EdbW1oLny46NZ86cwbZt23Djxg16bA7OchGJxWKEhIRg165dSE1NFXSma968OYWh2BifKpG/adeuHQYPHgxAuKaXSCR4/fo1IiIitLpODs5ymZJUgbOKnZs4OPt5KiEhAefPn6f5F0DeOsjb2xv+/v5wcnKiYze7VifrG9bnDBgwAC1atBDkRpDxMDw8XCPgRhtwNicnx6jgrFwup8VhODhrXJFnHhUVhcjISPoZE5urXLkyBbm07fAmFothYWGBpk2bIicnRzAXEIlEePToEe7evav1NUulUjRo0EAAzrIFNoCiAWdJ0jhfExlH0dHROHfunGAsZONH/v7+cHNzo2sY8n+xWCyIJcnlcjRq1AgrV66ETCajz5TtInf37l0KT2nyLDUBZ0NDQzk4+xlJFTALCPOR1HWYJf62WbNmguJDxB5JXqOhO71ycPbzFHlGjx49wsWLF+lzZfOPli9fLvhbdZJKpWjUqBEGDhwImUyWb66ZnJyMBw8eaHRMDs5yaSNDzacUj6NsPaENOHvlyhUOzn5mIt1/t23bli+22ahRI8yePVvQcVXZuoi8RyaTYfr06ahfvz6N65A1PAD8+uuvSElJ0cm+lYGzinF3Ds5ycX2Z4tAsFxfXZyVtgFldgyVff/01ypYtK0gyJxN+EnzUNgiiCM5OmTJFLTh77tw5g4OzihM3Ds4aTurARGN18lTcsNXENnnH2S9HmiSKk85KhrZL4kPfvHmj1XtZcNbf3x/u7u6FCs6yVZzJZjQHZ42rhw8fYufOndRu2LG9R48eWLduHcqWLZuvwqMyKXZkkEqlsLGxMej1cnCWS1OR5+To6IhGjRrR18gzevjwIRITE2mH68IAZ/v06UOr8iuCs6TzGEnQ4EkNpisyviclJeHZs2dYv349xo0bhy5duqBr167w9vZGly5dMHHiRAQEBODff/8FoH4zuXLlyvDz84OLiwsyMzMFyYkAB2e5DCs2+WDfvn2Ijo6m/kgbsfPdU6dO4YcfftDofQScHTNmDIoXLy4AZ8n6mYOzn67Urc/JPNEY6yB2PsommqmSIjjbq1cvDs5+ISI+7969e7h+/bqgq5Zcntdhlv3bgkR8qEQiwaxZs9CiRQsBLAvkfjd+//13PHv2TKtEX1MCZ2NiYjg4W0gin+vNmzdx7949QaKrXJ7bwWbFihWCRAllYsfP6tWrY/jw4ShRogQA5EvKffjwocBmVUlVx1mRSCToPjtt2jQKMxgbnJ08eTIHZ40k8nk+evQIkZGRNL4pkUggFovRqlUrCkBpakPkmGXLlsXgwYOxbt06ChKS8ZCdH1y6dAm7du2i0I0m4KyXl1eRgbPkPjg4a3xlZ2cjKChI0JkOyO1I07dvXzg4OACA1nNNkphraWkJIO+5Z2dnIywsTCfIhoCzI0aMgI2NDQdnuYpUiuDsyJEjlXaclUqlHJz9jESe+fPnz3HixAm6hiDzzK+//poWWVW3rmDH/OrVq6NPnz50nCVriKysLKSmpuLatWsA1MdITQmcJT9zcNa4Is/1l19+wevXr+lnm5WVBZlMhqFDh8La2lqv+X27du1Qv379fMWFAOiUzA3kFhU2hY6zxB7/+usvbNu2jXecNYLIM3v27Bl++eWXfABY27ZttQLAyLOpX78+jTuxcU2JRIJ3794hODiY/r0m4uDslyNVwCzxC5oCs0RyuRwuLi6wsrISxMOB3HhRZGSkUXwKB2c/P4nFYiQkJGDjxo1ISkoSFFyrWrUqvvvuu3zjpSaysbGBl5cXBVzZYpbp6enUr2lyTA7OcmkidmyOiYnR+TjsnikZEwtaT3Bw9ssU+czPnDmDuLg46jclEgksLCzQtWtXuLi4AFA/LyRFdSwtLbFw4ULaoRvIW9+np6dDJpNpXZCIiICz1apVo9da2OAsWbNzcJaLy3TEoVkuLq7PRoUBzAK5gTySxKDsd7qKXRi0adNGLTi7YsUKg4Oz7D1xcNZwUpeQS342RkIuWRyyG32GAGcVq+hzcPbTU1EmipPnOXHiRIwePZoGXbRNrKlduzbWrVtXJOAsSdzk4KxxFR8fjzNnzuC///4DkOcv5HI5unbtipUrVwoCttpI1+CKJnJ0dMTy5cs5OMulkWxsbNCrVy8Awo22q1ev4uzZswBAA3nGBmcHDhyI3r17KwVn5XI5zp8/j3379nFw1sSVnp6Op0+fYvz48Rg3bhy2bt2Ky5cvIyoqCjExMfjw4QPevn2L8+fPY/ny5fTvnj9/jqSkpAKPW6pUKQwcOBA9e/aEo6MjHXsNBc42btyYg7NcAITzxUmTJmHZsmVYsWIFYmNjtXom7Hz33LlzmDFjBn766Sds2bJFo/c7ODigU6dOGDVqlKDjLIkpcHD205S2hYMM1WGWtetvv/0Wy5YtA6D5PJAFZ2fMmMHB2S9EYrEYMTEx2LBhA5KSkgQJj7Vr18bUqVMBaB7rJJvRIpEIc+bMgYeHB7U/AhvI5XKawKrNGMjB2S9PYrEYHz58wE8//ZSvsjjp6AlA4D8KEvv7Bg0a0GRJFkIRi8V48uQJTp06pdU1KgNnpVJpPnB2+vTphQLOhoeHc3DWSCJ2dPfuXSQkJAhgBnt7e3Tr1k3QPUmbYwKAhYUFWrVqhcDAQLi7uwsS09g10dWrV7F79+5PApwl4wIHZ42v7OxsPHnyhP5Mno2HhweaNm2q17HbtWtHC1GR/4ith4SEANC+0K+bmxt69uyJkSNHcnCWq9CkaKfk36y9tGrVSgDOEnsh6zUOzn4eEolESE1Nxf/+9z8kJCQIQIby5ctj+PDhNFla03U6saGvv/6aQi9krkCOcevWLbx9+1YjX2ZK4KxczjvOGlvkWYeHhwOAYE5pa2sLZ2dnAPrvO5YoUUIQtyLxR1L0Upe1gzJwtjA7zrJjOttxloOzhpVYLEZiYiLWr1+fz29WqVIF48ePp/akaa4cscOmTZuiQ4cO9HUy3wSA0NBQra+1IHCWLYbBwdlPW8TPvHv3DoMGDdKrwywrkUiEsmXLomHDhgCEthgWFoZ3794ZLf+Dg7Ofj8hz+fvvv/MVXANyfV7JkiUB6DauV65cGUOHDgWQN9ckTVRCQkKQnJys8bE4OMulSuye49y5c/HDDz/g7du3Wh+HnXuePXsWPXv2xPfffw+Ag7NceSI28tdffwGAIO5uZ2eHNm3aaMVjkPmYo6MjqlSpQs9BjhEXF4f4+Hi9xtKiBmcVWQ8OznJxFb04NMvFxfVZqLCA2czMTABQWrUZAOzs7ABoVhVKmUwBnGUXQyw4O3ToUDx//lyn+/qSpQkwa6xOnmRROH78eIwYMQIHDx4EYFhwllwjB2c/LZmCXX777bc4f/483r59i+XLl+PJkydaBR1NBZwFeMdZY4h8ds+fP8fx48eRkZFBA9ZyuRxt2rShgToWFDUlOTk5cXCWSyPJ5XLUq1cPw4YNAyD0lYcOHaKbzuS5cXCWS5UeP36MrVu3YtiwYbh16xbev38PADQwS+ZwZIMOyLWXixcvYvz48diyZQtevnwJQHkSjru7OwYOHIg+ffoYHJydOXOm2o6zq1evNhg4W7Zs2QLB2b179+LYsWP0de4zC0+sD5wyZQp++eUXAMDFixexdOlSxMTEaPRMFDf5Jk+eTH+3YcMGbN68WaPrIR1nR48eLQBnyYYfB2c/LakDZpUVDiIJhYZcB124cAHBwcHYuHEjAA7OcikXeW63b99GdHS0oHIzkJvsXbx4cQDaxSHJ+11cXNCgQQP6GtvNk2x8axvfJOBsx44dOTj7mYt8lqdPn8aHDx8E9mltbQ1vb2+aOK6NHRG779SpE5o0aSKYwxJpm/yjCpwFwMHZz1AkQZXtOuPu7o5ixYrR/R1dlZOTg0qVKmH37t2oWrUqHX/J78izvnHjBgIDA3H79m0AqhMtK1asWOQdZzk4a3zduHED9+7do36N2Gf//v1ha2ur8xhF3le9enUAeT6XvE7W5bqIg7NchSl23vjgwQMkJSUJ5m+agLPEXjg4+3koOjoaERERdJwiY2y1atUESbWaisQvgdy1lKOjIz0meT0iIgLR0dEaH1cRnF21ahXvOPuZKicnBxkZGXStTJ6FRCJBqVKlUKJECb2PD+T6NyD/eP7u3TsAukO5ZmZmaNSoEebPn49y5cop3UeMjIzEjh07sHfvXvq6ruBs9+7dMWrUKLrHRIBIFpzdvXs3Ll68qNd9ceWK+KE3b94gOjqafs7Ex9WsWRNlypQBoNtnbWtrS+NHbGwVAG7evKlT8wVLS0u0b98es2fPpuAs2wWcg7OftiQSCcLDw+Hj44P379/r3WGWiECy7u7uAPL8F3muv/76K3Jycow27nFw9vMQsZuLFy8iPj6e2mNWVhasra3Rr18/nRvmEB9VrVo1WFtbC+LiWVlZePHiBd2D11QcnOVSJnYNMHXqVBw9ehQXLlzAgQMHtIqdK+6lT5kyBUBujhLZP9UUnO3evTsHZz9zhYWF4Z9//hHENgGgbt26cHJy0jruLhKJYG1tTYsJsvbo6uoKKysrvdcJtWvXzgfOAhDE3Y3dcZaDs1xcpiMOzXJxcX3yKixgFsgNKCckJNDANJmskUk+CYjrk+hiCuAsG7ghE7j4+HhYWFjofF9fokwFTPz9998BACtXrjQ4OMsmA3Fw9tOQukRxoHDs8sKFC5BIJMjIyMD9+/exYsUKrTciTAGcVdyMVgRn+Wa0bhKLxUhISMCaNWuQmJgoABmqVq2KcePGwdraGgD0sktji4OzXJqIPKt69erB1tZW4HNCQ0Npp2W2yvKnBM4W1CWCy/C6dOkSVq9ejd27dyMuLo6ujUhSGHlG7AYCeXYSiQRv3rzB/v37sXDhQpUJ/MYEZ2fMmKESnD127JjBwNkxY8YUCM4+e/YMAQEBHJwtApG51cSJE3H27FlIJBJIJBKkpKTg4sWLWLZsmVpwtqBNPjMzM3r8zZs3Y926dRpdU0HgLPHLpgDOcthGvUxhfT5hwgS6DgKALVu2CMBZTfwMB2e/HJHP+ffff0dqaqoggcfJyQndu3eHubm5zse3trZGp06d6DHJOSUSCd69e4e4uDidjmtra4slS5ZwcPYzF/mMyVxPsaNnmzZtdPKdxO5tbGxQvnx56rtIIgaQO+fNyMjQym4KAmfNzMwgEokEvpqDs5+uiM95+fIlcnJyBGsgZ2dniMViCkjrKhLrK1OmDDZu3IgmTZoIEgjZNdGVK1cQEBCAhw8fqj0uB2c/fyUmJlJflpOTQ5PGdSkwwIq8r2XLlnT9AOT5GvIMdT2+qYKzb9680el+uExT7HwxICAAw4cPx5YtW7QGZ9nYVFGBs/oWZ+DK0y+//ILQ0FD6zMkenI+PD6ytrXWaOxE7q1WrFjw8PATzSTMzM8jlcpXFBJWJtctmzZoVOTjLO84aRxKJhH7G5JmT4pTJyclIT0/Xa61JbJMUxmI70wEwiG+RSqW042xB4OyHDx+wc+dOvcFZFxcXdO/eHX5+fnBwcBB0EiX/v379Og4dOsTnmwYQeY6//PILIiIiBOtzW1tb+Pr6wsrKSqdjE//Wq1cvlC9fnr7GxsV1yVMDAJlMhg4dOgjAWXaeycHZT1dyuRxr165FREQEzM3N9e4wS0TWUz179oSNjY3AFwPAo0ePIBaLjZo7QsDZwYMHAygYnF28eDHCw8N5LNIERXzIs2fPqL0QP1qhQgUUL15c53kTOU79+vVRoUIFwbpBKpXSnGNdjmvK4Kyu+whcuonYE5ALzJ45cwZSqRSxsbE4cuQI9u/frxE4q2ovPScnB3v37qW5kQX5VRacHTVqFAdnP3MlJycjOTmZzgWJjyN71NrG3cn72UIF5DU3NzeN9j81GWMVwVlFm+HgLBfXlyMOzXJxcX3SKkxgliyKw8PDkZqaKlgQZGVlwdHREa1btwagfzVEUwBn5XI5TRi1t7fHzz//TCsQcqmXtgm5wcHBRk3IlUqlSE1NxcqVK3Ho0CEAmidKcHD285E6u2S/94WVKE6SEx8+fIipU6dqnfBiCuAs2UxnO84OGzYM9+7dM2mg01RFxqTLly8jLCyMJiSKxWJYWFigXbt2dGPuU5CpgbP79u0TJI1zCaUsMFtYCSVt27aFl5cXHVtJsurGjRsRHx9Pn9enBM6SOfibN29w9uxZwfVzGVYnT57E999/jzt37iAtLY36EmU2TZIZiNgkh5SUFNy9exfTpk3D/fv3C1zXcHCWy5j67bffcP78eQBCkDA1NVUtOKtqky8zMxPZ2dl0LbNt2zZERERodE2qOs4WJThLKvnzjgyqpcn6XLHDrDEKB/3222+CTjZisRhbt27FsmXLAGg+NzNlcHbVqlUcnDWQ5HI54uPj8fz5cwC5z4LYSOPGjeHm5qZXNyu5XI6vvvoKpUuXFnTzzM7Oxrt37/Tq4qYOnBWJREUKzvKEccMoJCQEd+7cof6G/L9z585wcnLS+XNmk3Lt7e0FtgkAcXFxgqRETaWu4yzrzzg4+2mK2KGy8ZTYjyHm82R+6uHhgWXLlqFJkyY0NkjOQZ71b7/9hr179yIkJETtcStWrIhx48ahdevWBYKzgYGBBgNnp02bphKcXbt2LY4dO8ZBBgPp+fPngjmpWCyGubk5PDw8DHJ8W1tbmkxGziESifD+/Xu9O7+YGjh7+vRpbN++nYOzn4nYeWJQUBCWL1+OlJQUnDt3Dtu3b9cKnGULDhYFODt9+nTcv39f78+EK1cxMTEA8oqrAbmxGWdnZ4E/1VbZ2dkwMzOj3WyIPyNrKwJLaXN8UwFnyfyDg7PGUUEgVlJSEjIyMvTeb8vJyYGTkxPMzc0FRYOA3OIbBcX6tVFB4Cy7b2lMcJbM1eVyOaysrDBt2jSdYU6uPBG7IPk5rN90c3OjflMXEfswMzNDsWLFBDFHkUiEtLQ0PH78WOdr5+Ds5ymRSIQFCxagWbNmyMjIoEX69AFmWdna2sLCwoK+lxz/0aNHuHHjBgDjFhl1c3ODn5+fSnD2+vXrWLJkCQdnTVAikQgfP37EixcvkJOTIxhfS5UqBXNzc733hACgZMmSAEBtlOSTEf+irU2YMjh78OBBOnfnMr7IHHHKlCk4c+YMBRUlEgni4uJw9OhRteCsqr10Nqd59+7dNDeyICmCsz169FAJzm7fvh137tyhayVjgrM7duzg4KwBFR8fLxi3iQ2Rz1xbv0aOw76PxPcbNWoEAEhLS8ObN29w/fp1HD58GGfOnMHZs2fx5MkTQQ4doHrsJ/uI1atXLxCc9ff3x8GDB3UGZ8kxvb29sWjRIpXg7PTp03Hx4kWtz8PFxaWfeJY0FxfXJ6vCBGaBvKo5gYGBdBLIvu7m5gZLS0uDBV+KGpy1tLRERkYG7O3tERQUhAoVKhjkvr4E6QLMenp6GhxMZBNyia2kpaVhwYIF+OOPP7Q6tibgLDl3YYOzmnaI+tKlzi5FIlGhALPKEsWlUikyMjJQpkwZlCpVSutzFDU4S5IsRSIRMjMzIZPJkJycjIkTJyI9PZ0nPWopMmZfunRJEHTJzs6Gu7s7+vfvL6g09inIVMBZqVSKiIgInD59Wu+Euc9RrJ/8448/KPTEJjYbS2Qe5uvri1KlStGkcNL989y5c4JrUARnBwwYYHLgLPnuhoaGYujQoZg6dSqHD42kgwcPYu7cuXj//r0gQZBsFJNqy0DevA2AYBOX/I4kO7x+/RqLFy9WmRzwpYCzwcHBdO7Aiw0Ujtq2bYvJkycDADIyMgSVnlWBs5ps8pFiQpaWlggMDESJEiU0vi5V4Cz5rhUmOPvrr79iy5Yt+Pfff7U+/pckU1kHsYWDyPMkcR1d4ERTBGclEgmCg4P5Gt1AEolEiIuLo0BIdnY29XfEd7GJkLocv3jx4ihbtiydK7BVyvWFpFSBswAKveNsUFAQtm7dSt/Dpb+io6ORkpJCq4oT30O6I+n6ORPfQhK/iK8j/jolJQXv37/X6djqwFnecfbzkIODAx0Did6+fYukpCSDfb7Eltzd3bF48WK0aNFCkKTFronOnj2LoKAgum+j6hoqVKiAsWPHFgjOAjAYONuqVSul4GxWVhZkMhni4+Oxfft2vQo0cOUpKSkJgDBmwxbE0Fdly5ZF+fLlBT4mOzsbCQkJSE5O1vv4BJz18/ODra2tSnCWJKrrA84OGTJEKThrYWGBmJgY/Pnnn3R/iuvTlSIwu2TJEgC5c9x3797h5MmT2LVrFwVniVSBs6y9kG47xgZnyfcuKiqKzoO4dJdcntu1kADI7Py+RIkSKFGihF6Fw8jzqly5MoC8whrExhITE3U6rqmAs8o6zg4ZMgQvXrzg6yA9lJ2djYyMjHzxFpKn8+LFCwD6FWgRi8Vwc3ODvb09XZ+zhQQBwxTNUwbOsgVbAeOBs9nZ2bRg/6FDh3j+kYEkl8uRlJSEhw8fAhDaYalSpeDo6KiX7RBo1svLC0AeFEDO8/HjR90vHgWDs+xeV2GDs9u2baOwGZf2ys7OhqOjI/z9/dG4cWPk5OQYDJgFcp9j+/bt6b8J+JiRkVFoRUY5OPtpKy0tTRC3USxEr08chMzFGjRoQF9jfSaJueti+6YKzq5fvx7Hjx/nNl6ISk1NhaenJy0GDOTFItWBs+qKT7M/S6VStG3bVu31sOCsn5+fSnD26tWr2L59O+7evWt0cDYgIAC7d+9GZGSkxsfnKlgZGRl0X50dZ0NCQgT7l5qKPDOyBid5RlKpFCVKlEBQUBDGjBkDb29vjB49GvPnz8e0adMwZcoUfPPNN+jVqxfWr1+PK1eu0Pezx1VUrVq1MHv27ALBWQBYt26dzuAsa8vdunVTCs6SuHtsbCyWLl3Ki1VycRWyeLYfFxfXJynFREcgb5JtDGCW6PLly7h+/Tqd/JEkAgAYOHAgihUrZtDgizHBWcUJoiI4O2LECDg4OCAwMJAHrLWQLgm5hgZmC+pgQ66vRYsWaNWqldbnUAfOsouIwgBnybl37drFq5apkSZ2aezOSspAbjbo2KpVK2zZsoX+TlsVNThLAuFmZmZITU2Fk5MTduzYAQsLC975Swfdu3cPV69eBQBBksuIESPg5ORkkgFXdYG8ogZnyffd1tYWmzZtgqOjo9bH/pzF+sndu3dj9OjRmDp1KmbOnImHDx8iKSnJqAnMxBY8PT3pvIvYQGpqKi5fvgxA6INYcHbQoEEm1XGWVA0PDQ3F8OHD8e7dO0gkEvj7+wvAWS79FRQUhIULF9LPnIVWia8BgHr16qFx48bo1KkTGjRoQCFXkoCj7Hm8ePECGzZsQGhoaIHn/9zBWYlEgn/++Qc///yzzklzXNqJPMfRo0dTcJbMs1SBs5mZmSo3+UhyD9nk27lzJ+rXr6/1nKIgcJb1i4UBzlpYWCA5ORl//fUXHBwctD72lyJV6yB2jsQWtCqMDrPkZ7IOIiCftnZiSuAsiU/Z2NigZ8+eWh+fS7lSU1MFCQVEpJOcPnNTRQCXjXUCoAkV+qy91HWcLUxwNj4+Hhs3bsTOnTt1vh8uod6+fSsArdnCkoB+tpOTk4MSJUqgevXqgo4MWVlZSEhI0KtCvCpwlqxligKcHT58OP755x8eQzKASDIKWzwoMTERSUlJdL5mCBFbKlGiBE3SYhNu2CKTgYGB2LVrFwD1tlTU4Ky5uTlSU1Ph6OiIbdu2wc7OTutzcOWXi4sLAAhi46mpqTSWoo9dkvcSOyGSSqUGjU27ubmhR48eGDlypEpwdvv27XqDs7Vq1coHzpqbmyM9PR329vb46aef6GfK9WlKFTBL5hDv37/Hrl27EBgYmM+ONAFnybrOmOCsWCymBah//vlnlC5dWrcPhItKJBJBJpMJxlPyc0pKisGKObi6ulIfyfrJ0NBQyOVymjCu7bWbCjjLFvmNiorCuHHjkJGRwQu06CjSIb5Zs2YAIFifxMfHC/Yz9RELDijapiGfXUEdZwHjgbNjxoyh5+YF+w0rso+hrIhqSkqKThCD4vEBoFixYgDy4vdkXqtJcSB1UgbOkrUVC86uW7euUMDZc+fOITAwEBkZGTrf05csMh9zcHDAhg0bKDxoCGCWqEyZMvRnYvsAcODAAZXdFQ0pQ4Kz5HUWfuMynszNzWFmZiaIOQK5+RSAYaBrdp8GyPOl+voVUwJnyedkbm6Oli1b8tyPQpRMJqNF60k8huSGqAJn2XWJquLTGRkZkEql2Lt3L+rVq6eRTzJVcHb37t0ICgrSad+JS6iSJUvC1tYWAATzzbCwMKSkpAj8gyYSiUSIiorCmTNn6GtisRhisRjr16/HkiVLcOvWLTrXJPNdsViMlJQUhIeHY8eOHRg1ahTWr1+Ply9f0uOaKjjL5hRv2bIFVlZWWp+Di4tLd/GZChcX1ycnZYmO2dnZkMvl6Natm9GA2Y8fP+LXX39FRESEoAMDkFshqmXLlgAM34XMGOAseV90dDSdMALCYPe3336Lc+fOoWLFiga9n89Z6hJyyc/GBBO//fZbpR1syN+1atUK27dvp//WVqYCzpIOUY6Ojjh27BicnJx0OseXIE2AWYlEYtREcWUdZlkbZRPF2WCytjIFcDYzMxN2dnYICAiglaq5tNerV68opAjk2rFMJsNXX30FwDRgO3a8f/PmDe7fv682aFKU4CxJ3tm/fz/fjFaQop8k32kAOHnyJGbMmIHp06fj2bNngmQZQ29YyeVy2Nra4ttvv4VMJhP40cuXLyM4OBiAcKNGseOsqYCzUqkUr169osAsCbTHx8dj/vz5OHnypME+ty9ZAQEBgqRC4pfIGG9tbY0BAwbgxx9/RGBgIHbu3In169dj586dOHLkCKZNm4YGDRoIoFQiAgz89ddfOH/+PIUOlelzBWfJHN7GxgaLFi2imwBcxhXZ1AM0B2ejo6NhZmYGQPkmH1u4SHGTT5c5RVGDsyRZ3MHBAbt27aKbjlxCqVsHEdDL2AWt2PU5a3PK1kG6JGOYAjhLvl/29vY4cOAAXwcZUElJSUhNTc03BpLxTp8YJDlWpUqVBOsuEisixSL0XXuZAjhrbm6OrKwsWFlZoXXr1nrdD1ee3aWnpwv+TRQdHa30dW1EbMTV1VUASpDvgb5JLuo6zmZnZ9O5hbHBWTY+ZmNjo9d9feki33syDhFgRCKRICYmhsYBDQkms+DsokWL0LBhQ8Hv2Vjkpk2bcPjwYXoNpgjOmpub0/jRvn37UKlSJa2PzaVcZH5G/JdikQp97JLYPlmzKhY1If7aECoqcNbS0pKugYKCgmiMmOvTlCpgluz3kyIxEokEnTt3VvodUQfOsl1KjAHOuru70yKVHAAznHJycgRwJ1nPkoJphvJpHh4esLe3p3NN8nzZAlu6yFTAWcUiv5s2bYK5uTkv0KKjyOdGwHh2fx0ADh8+TMc9XZWVlSWISbExAOITDbknZWhwVvF1dux3cXFB586dMW/ePJw6dYr7SyOIjH2KzyE9PR0SicQg++oeHh4UZGB9XVxcnN7HBgruOMuCs2FhYUbtOEu+fzKZDKNGjaLfPS7txcaRN27ciLVr1xoMmAWAHj16CPbzyDorLi7OIHEpTWUIcJZ8Hi9fvsSgQYPw7Nkz3pnWyCJ74Ozet0gkQnJyMgAYpOCah4cHnVOSdQkA2hBEn+ObAjhL5ub29vY4duwYzy0uAtnZ2aF3795agbPaFJ/WZS/dlMBZcq8ymQxdu3bVa9+XK1eWlpY01kg+X6lUinfv3mH79u358o000f379xEdHU2fv1wuR1paGl68eEGPTwpCkbluTk4Ozc0g59u6dStWrVqF8+fPA4DA7yqqqMBZch/29vYICAjgcXcuriJQ0Webc3FxcWmhPXv2KAUR5XI5WrVqhTVr1gAQgoL6iJ2MHz9+HMePHwcgrFwCAPXr1xd0ZlB8r74yJDhLFjMhISHw9fXF+vXr8fz5c/p7NvjCu9BpLjYhNyAgQC0wGxQUZBQwURGYVQUm6rrhpwk4S85rLHCWLCL27dvHEyTUiNjlvn37lAKzQK49ODg44NixY4Xa+diQdklUVOAsGX/Mzc0RHBzMN/x0FIE7CWDCBqTr1auHmjVrFuXlAcjb+CU2denSJSxcuBDTp0+nwWZVmxhOTk5YsWKFWnB2+vTpAPQHZ+fPn08DkTx5J79UATXkd2FhYbh06RIGDx6M1atX49KlSwDyEgcMtWlF/Er58uXRuXNniMViGjgWiUS4du0a4uLi8s0xTQmcDQgIwLNnzxAeHo6RI0fi3bt3dMwhsIK1tTVq1KhhkM/sS9bevXuxfPlyAML5pkQiQVZWFuzt7bFkyRJ8++23+PrrrwVJPBKJBCVLlsSQIUOwZcsW9OnThwahFaHsxMREnDhxggarC7IXAs727duXdgT/1MFZkix+4MABvtlXyGJ9kybgLPkuXLp0KR8wy4KRhgBmiYoKnLWzs6PJ4oGBgXwtpEIFrc/JOohs6js7OxuloJWy9bmx1kFFCc42a9aM+ks+1zS87OzsIJPJBJApANy6dYvO5fQV6eLEJqUDeVXvDRHfLEpw1szMjNpocHAwypUrp/f9fOki/tXFxUUwdyTANSnQqK8/BfIgM2IvZKwlSbn6grnKwFkzMzPaXczY4KylpSWNcR4+fJiu47h0E7GTOnXqAMjfoeXx48cG6YKk7Lw5OTlwd3fH4sWLUb16dbqWVywyuXHjRly/fh2AekjS2OAskPc5tGrVCtOnT4ejoyPs7e0RGBjIx3QDy93dXQAZEO3fv5/GE3UV8bdkP488VwKXGbqbhrHBWfYeatWqhaFDh6Jx48ZwcHBAQEAAt81PXJoAs6SzjaOjIw4fPozSpUsXaMeqwFlFv6ktOFtQDBbIBWf79euHcuXK8SKVBhaBC0ixZDYGHxYWRos2GuI8yuKcivs/uh7bFMBZXuTX8Grbti3Kly9P/00++7i4OJw/fx7h4eE6H1sqlUImk9F5HgtzkzHW0AWFDQXOssDX5s2bAeQf+11dXTFw4EC+JjeCSJEUdo+HxD4jIiLw33//AdB/DVSsWDG6LiHrHABIS0sDYJjiRJqAs8bsOMuuz9nvOpduIvE9R0dHdO3aFYBhgFm5XA5LS0vabZbttBwfH4+dO3ciMzOz0ApF6APOks8jNDQUY8aMwaNHjzBu3Di8ePGCg7NGUk5ODqysrGj+DBu/fPLkCU6cOAFAf59mbW1Ncz2U+Sh9j1+U4GydOnVo8T++J1S0srOzQ9++fdWCs8HBwXjz5g1EIpFSYNaQxadNAZxloe7Dhw/zvXQDycPDA15eXnRdws4Hb9y4gVu3btHnp+o5kt/FxsZi7969+Pjxo+D3JHaqmANFfBr5f05OjmB//cqVK9i2bRstWkmuUZmMDc6y99mtWzcsXrwY2dnZsLa25n6Ti6sIxaFZLi6uT0anTp3CypUrAeR1CADyJhihoaG0yoghgh9s0viRI0ewbt06AKAbGGTi17ZtW3z33XcAcoMfpKKJqsmfLoENQ4CzJEkzNDQUI0eOxKtXr3D79m3s2rUrHzjLpZ1Y4IYFGNhurgRgOHnyJMqVK0cTAXWVOjDRGMAskTpwllRvBvQDZ9kAuKenJzZu3IjixYtDJpPxRYQWOnv2LJYtWwYgDyAA8vynRCLBgAED8sH/ukhVorixgVkiY4CzxG+TxGH2PEDuInfdunU4fPgwt0s9JJFIYG5ujvfv3wOAIBlGMfGrKMQCro8fP8YPP/yAsWPH4saNGwgPD8fmzZuRmJiodhx1dHRUC86ePn1aI3CW2Kay7uFSqRR169aFv78/zp8/z21TQeo60LHdP6RSKZKSkrB//36MHz8eS5cuxa1btwxWqIVIJBLBwsICLVu2pBXyiK/5/fff8ejRI6XBYlMBZy9cuIC1a9eif//+FJglPpfDCoaTor2yBVpIIYwff/wRnTt3VloEh4zLUqkUNjY2WLp0KYYOHUo37thNPIlEglevXtEOzKrs3d3dHQMGDECfPn0+aXB23LhxcHJygkQi4fPNIpS24OzAgQMxduxYAML5riE7zCrK2OAs65srVqwIX19ftGrVCq6urjxZXEMFBQXR9bniOojAdLNmzaKwvD52oWp9bqyCVqyMBc4qS4RkwVl/f398/fXX2LdvH7dJI8jFxQWOjo50XCNjYFRUFO2aoCsIQ56tTCajiWUksRIAUlJSBH+nr4oCnK1VqxbS09Mp1M2LYBhWFhYWND7Ozs0ePnyIqKgovWyHHKtYsWIA8uJU5JgEhtR3D0AVOEvOY0xwlnT+4nNOw4kUoqpUqVI+QPHPP/8UdHo1pIgteXh4wN/fHx4eHsjKyqIQNvFnsbGxOHDggMZxckOCs+T7Q/y7YvHXli1bYvny5Th8+DD3l0ZQo0aNUL58eUEhYLFYjLS0NJw/fx4JCQk6H7ughDSSUGaMbhqGBGeJbZKuPoq2WbNmTYwfPx4nT57kiY6fuFQBs6ToFVnDk67CBOJSZcfqwFnSpV4ikWgMzhJ/GxkZSWEjQBirGDNmDC+gagSReaWHhwcAUNsgnRLv378PQP91ipWVFezt7elcgfiepKQkZGZmKt1v0fY+igqcJXNNS0tLbqMGlp2dHTw9PQEIY+xZWVk4ceIETp06haSkJJ2Pz85RFYtbGWtvVF9wlvjZsLAwjBgxAps3b6Z7F4pjP+/wZRxJJBLY2tqiYcOGgtdzcnIQGRmJv//+G4D+ayBS3ILsrSrGUQ1lo0XRcfabb74BkJuHyNfnhpXi994Q+zIikQiWlpbo27cvgLwcCTLGvn371iDF1rSRLuBsZmYmzd8cPnw43rx5A5lMhnfv3mHMmDG04yyXYSUWi2FjY4NmzZoByNs7IT7y5s2bSExM1Ps8pCsim28C5O5FG0rGAmeV7QkRVatWDdOnT0fz5s1x4MAB7i9NQAScnTZtGi2urgycPXnyJPbt25ev+DTJhTLkXnpRgrPNmjXjULcRVbFiRaWdXh89eoS9e/fi1q1bgvi1MolEIiQmJmLWrFm4e/cuPQ675iF7iCROZGlpSX/HFk0n5yH29M8//2D//v04e/YsPVdBUgbOKsbdNQVniZ9MT08XnJdcc5cuXbB+/XocOnSI2yQXVxGKz6y5uLg+GSUmJqJcuXIQi8XIyMigEyUyaQoLC8OECRPw5MkTvStusQvin3/+mVblZCvdyuVylCpVCj4+Pjh37hz8/f0xffp0jBw5EiNHjsSECRMwbdo0zJs3D3v27MHZs2dx//59pKamKt1oYTfLC5Ku4CxJhJBIJAgJCcHw4cMRHh4Oc3NzJCQk4OLFi9i0aZNg449Lez148IBuApiZmQk2FYDc51e7dm26qCRJV7pIMSG3sDrYsNKk46y24Cz53pINJWLz5Fxly5bF3r17cfLkSb6I0EJt27ZF1apVAQihP6Ls7Gz8/vvv2Lt3L5KSknTefCvKDrOKMiQ4y1Z43LBhg6D6P1uNunPnzqhUqZJB7+NL1H///YewsDD6fMgzM4WOK+Rali9fjvnz5+Onn34CkDu+SiQSvHnzBjdv3gSgPmnDEOAsW7155syZtKMPK9JxtnTp0rrf+GcqdR3ogLzEhKysLOobc3JyEBgYiDlz5mDSpEl49eqVXokQrIjv7dChA/r06QNA6CP/97//4cOHD0qDe6YCzl67dg1RUVECYJZUteeBaf2lDPAmP2dmZsLR0REBAQGoV6+eRmM58SuzZ89G7969BRALC9H+999/iIiIUHs80nHWlMFZVZt9NjY2+PrrrzFv3jycPXuW26sWMkbygTbgLEmaJN8FslliLGCWyJDgLLlXkjCv6JsrVKiAMWPG4MiRIzxZXEOR580CpYoJiOfOncOtW7foppy+6yBlhYOMDcwSGRqcJZ9feHg4Dh48SOcMZEM7OzsbDg4O2Lx5M7dJIygnJwcymYzO51i/Fx4ejm3bttHXdbFb4gttbGyov2GTcs3NzQV/ZwgZGpwt6L4JODtlyhQ0bNgQe/fu5WO6EVS7dm1UrFiR+jjyPB4/fozHjx/rlditGDtl4+YikYjGHw0hdeAsAR8B7cBZxd+x//bx8cHMmTMhk8mwZ88ebp8GlEgkgqOjIxo2bEgTeMi8EACCg4MN1qFOUQTKKlOmDLZu3Qo7Ozs6FyW/z8rKwrVr1+haSJPiAIYAZ9nY5qRJk/Dzzz8DyJ/A06xZMx4/MoKIDVavXh2AMHE8IyMDp0+f1ssuiR2xiVmkIIalpSUsLS31uPqCpQqcJYma6sBZYpshISHo1q1bPrCd/G2NGjVogiXXpyl1wCzb2cbBwYEW3VMHzBKpAmfZdbomHWdZuxwyZAjmzZuHZ8+e0d+za3UHBwd9PxouBZHnWL9+fZiZmdFEWLJ+OHjwIP777z+9c0FIUQHFY5ibm8PMzMwgBTaMBc4qFpIBhHbp4+OD77//HgcPHuTzTANKLpdDJpNh8uTJcHR0pOMe2TtKTU3FmzdvdIZhsrOzkZycTAvik7EcyPU1uq79NZGu4CzJ2QoNDcWwYcPw/v17SCQS7N27lzZDKKxOj1ygxdGJyFph+/btggYKuoj4LeKTgbxnS9bLhrRPTTvOagrOKvp6Nv5VpkwZ9OrVC2PGjMGxY8e43/yEVL58edptlo0vGrJbqDbSBpx98+YNzMzM8PLlSwwfPpwWok5LS4NMJkN4eDimTp0qKOjPZRgRf0C+62zMHQBOnjyJq1evCv5WF8lkMlr0Bcjzkez8zRAyNDjL7gmdPHkSgHCeKZfLUbNmTfz444/cX5qQ7Ozs0KdPH0ydOlUpOBsfH49du3YJmq0Yey/dWOCs4veSXe+XKlUKM2fORMeOHflayMAiz2Po0KFo3LgxgPzP8fLly/jxxx9x6NAhZGRkKI3lxMfH4+7du5gwYQL++OMPATBL4psuLi7o0KEDVq9ejaNHj+L06dO4cOECjhw5gvnz56Njx46wsrIS5PWxe/FPnjzBsWPHaBxH1RxVEZwl9qUNOMsWEVq8eDGuX78OIH8h2E6dOqF8+fIafd5cXFzGEYdmubi4Phn5+PhgxIgRdEKrLLEqLCwMkydP1gucZYHZs2fPYtq0aQCEwCxRVFQUZsyYgcmTJ2P79u04d+4crl+/juvXr+PixYv4+eefceTIEaxcuRJTpkzB8OHD0aNHDwwdOhTbtm3DqVOnEB0dLZgoKk6YFKULOEuqp7x+/RojRoygAZfMzExYWFggISEBf//9N2xtbbX+vLjyVLt2bYwePZp+tkRsFZy7d+9i6dKlegWmVSXkFkYHG1aagLPketSBs+xG9JQpUxAUFAQgPzhbpkwZnryjhbKysmBubo4DBw6gdu3adPOO+E+SRPPixQscOHAAJ06cQHJystYJ46pA7sIGZokMAc6yi9vBgwdj586dOHz4MJ4+fUr/hld4NKxiYmKQkZFBq4MROyRjlClssGZkZODJkycA8uYH2dnZiI6Oxm+//QZAM7vQB5xlEx79/Pxw5swZLF++HKGhoQa+289bO3fuLLBDPPGP5D/FoN+7d+9w4cIFDB8+HKtWrcLt27cFx9alMxbre728vODs7CwIEL59+5bOIZQdv6jBWXazXBGY5VXt9ZcyYJat/uno6Ijg4GB89dVXguehSqxfWbhwIYVSyZqIJKS9ePGCJrmqU4kSJdSCs7/99luRgLNssYFZs2YhNTU1n+3b2NigU6dOdLOdS72OHz8uKCpiSGkKzhJfXRgdZhWlCpwlwJA6cJYd1zt16oSNGzfmu38gNxHE1dXV4PfwucrX1xfff/89zMzM8o1TBFxhN2PJ73RdB02YMKFICwcBhgNnWZvs378/1q1bh0OHDiE1NTWfT+frIeNILBZDJpOhZcuWAPK6JpDnd+nSJZw5cwaAfmsk4mfYLjEA8sUpDSVDgbPkO/3+/XulayCJRIIGDRpg27ZtqFy5skHvgStXNjY2cHV1FRTvI+vj5cuXIyQkROdiBIrwNmuPJN5oSKkDZ7XtOEvsMzY2FpGRkUr/dtiwYbh8+TIvOmBgER/Wt29flC5dWhADBHKLDly4cAGxsbFGOT/xWeXLl8cPP/wAa2vrfCBhcnIyNm3ahI8fP2oMP2gDzioWVGPH9KFDh+LKlSvYu3cvzp8/D8A04myfu0QiEczNzTFo0CC6lid+UyKR4P3791i4cCFCQkJ0Oj6xAeIzyZo+MzOTdi8ylgoCZ4ndqQJnFWOb7969w/fff08Tc7ltfj5SBcwS/0xiW7oAs0SK4Kyfn58AnGU7kMTGxmLr1q04deqUAJwl85rQ0FCMGDECYWFhePHiBfz9/fmeUCGJfPdr1qwJOzs7Gv8kCd0JCQlYtGgRoqKi9CrSkpWVhbS0NABCeMra2hqA4TpiGhqcZfcst2zZgn///Zf+jo0h9e/fnxf5NbDIs/Tw8EDfvn1pojYAFC9eHGPGjKF7TboWtiLjNxE5joWFBb0GfVXQtekCzpqbm+cDvsh+xZ49e+Dv76/39XKpF3mm3t7eKFasmCDZHwAiIyPx66+/6rUGEovFsLKygpmZGfWZinEkQ4+NhgJnid989eqVAKRk/7ZcuXIYP34838PUUixEVxTy9PREq1atAEAwpwRy9yDfvHlT6NekKTi7evVq3Lp1C6NGjaL+k8wHUlNT4eTkBH9/f7rG4zKciK/q0aMHKlasKJhrEh83bdo03LhxQy+/VlAhFjZ/1FBSB86S4kFAHjjLdiFn/46shQYPHozly5fjwIEDAPLmmeR+uG2anlSBs6TAC5C7zsnMzBQUrjLWXrqhwVlybW/fvkVgYCC9H/J6Tk5uM541a9ZwONHAIt99qVSKtm3bwsnJif6O3S++ffs2/P39MWLECJw4cQJ3795FaGgo7t+/j99//x0zZ87E3LlzBcWs2fwOX19frFixAhs2bEDXrl1RrVo1lCpVCk5OTqhSpQp8fHywYsUK7N27F1WrVqV+W/E6/vzzT43ji8o6zgKagbOs3/Tx8cHRo0exf/9+QQ4Uj29ycZmOeDSXi4vrkxAJtvTu3Ru+vr40mYRdkBkCnFUEZqdMmQIgN+GWwDtAXmXH1NRUfPz4kU7iSCCY/J78TCZQGRkZCAsLw/3797Fu3TrMmDEDPXv2RO/evbFkyRIcPHgQd+/eRXJystJutORetAVnV69ejW3btmHo0KH5Ai7p6emwt7fH9u3beaVmPUSCcJMnT8aoUaMEz4jdUEhOTsaVK1fw008/4cWLF1qfR1Unz8IGZonUgbPsoqQgcJZdRAwbNgxXrlzBiRMncPToUQBCcJZLO5FEHHNzcwQEBOQDZ4nfE4lECAkJQVBQEI4fP64VOGsKnY8LEgvOrl+/HiVLllQJzgYHB9P3sgkSw4YNo8kTR44cwf79+40Gh3zpIv6UJKSSZ0W6JehT0dFQ6tChA8qVK0fHWyCvCuW1a9fw4sULjQPduoCzbPVmshltbm6Oa9euYcmSJUo7znLlV2RkJN1IJRutbNCKbPyy80PFsV0qleL9+/c4fPgwvvnmG/j7+9Pqo7om1pBjt2rVisKPpBJpVFQUdu/erfL4RQnOsuLArGGlCTC7f/9+eHp6Kn0eqkTs38zMDN7e3rC0tBR0DCPj5IMHDwBo5ocJONu7d284OjrmA2flcnmhd5xl55ujRo3CiRMnMHnyZKSlpeWzfR681lyBgYGYPXs2HbeNIUVwdtKkSQAgWKMTEXsgm3y7d+82KjBLVBA4Szb8CgJnCajGJuVGR0fjxx9/xPbt2/PdP5fmYqGZOXPmwNLSUmkMKTMzE7du3cLWrVu1BmdNDZgl0hecVUwUj4qKQnx8PPbv3y/oOMtlXJHnUbNmTZQuXZo+M/IMo6KicPLkSdy6dUuv45PkCWKTxIZZWza09AVnWb/ZuXNnjBs3TukaSCwWG6273pcuNhnf1taWPh8SmyTJ1BERETrNq4h9KhZ8Y//N/p0hVBA4S+L9moKzbFHAXr16Ydu2bYiIiFD6t8Q3cxlOxEbc3d1RunRpQfIVSQo7cuQI9Z2GBrDJeQCgYcOG+Pbbb2FpaUnXbyRRMTIyEj/88APS09M1/o5oCs7u379f4BPZ+FFkZCTEYjEeP36M7du3G6T4ApdmysnJQY0aNTB48GBaHC0nJ7cbsr29PerWrQtPT0+9z8FKMc5lLKnqOKsKnGVt8+3bt7CwsEBWVhbmzp2br+Ms16crVcCsYtErfYBZInasbdmypQCcZWNTUqkUcXFxtMA12fuRSCQICQmhMXczMzMkJyfj3r17+P777wUdZ7mMp5ycHBpbZONN5Bn+888/WLFiBZKSknT2ExKJRJDsT46jCIEZQoYCZ1lgdtCgQfjxxx9x9OjRfOM+l/EkEolgYWGBDh060P2OOnXqYNSoUTReycKm2h5bKpXStT8Lc+uz7iG2HBMTIyiUqUzagLOHDh1CREQELXxB8o9I0ruNjQ26dOmi83VzaS7yjBwdHeHu7g5AGNtJSUnBkSNH8Pvvv+vVtZLEoxRlzBinTCZDx44dMWfOHJXg7Lp16wRFgVhfTvymr68vZs2aRQv3K8qY+xufg5Q9e8UYjbq/N6TIM+7SpQtcXV0FuUkA8OzZM7x69apQrkVRmoCzly9fxujRoxEeHg4zM7N8hagDAgJ4EUAjKjs7G+bm5hgwYACNr7D7ijk5Ofj555/1Okd8fDzS0tIEeb5AbgdF9t+GkipwlhQgZMHZPXv2CMBZkkNI9oQiIiKQnJyM3bt3C8BZLtMWAWenTJlCwVmyV83u/5G8dmLze/bsMdpeuqHAWUWoe+3atdi2bRs9B5sfw8d040ksFqNbt25o3ry5YA7I2k5KSgru3LmD+fPnY+jQoRg0aBC++eYbTJw4EZcvX0ZYWJhgDkFiQ3PnzsWMGTPQrFkzAHljOrt3COQWFKpRowb+97//oXPnznBwcFBaJGD37t206Yk6KQNnFePuiuAsmY+S2CaJK126dAkBAQGCGCgXF5dpiM9kuLi4PgmxSaJ9+/Y1CjirDphVnMCQ87ITdLYrHpnYy+VyOrljQQUC18TExODFixcICgrCwoUL4efnh969e8PPzw87duzAqVOnEBMTI6g+DWgHziYkJOCHH35ARESEAJglAZegoCBe1V5PsQl8EydOxNixY/NtOhD7TElJweXLl7FlyxatwFl1YGJRALNEmoCz5BqUgbPsIuL9+/eQSCR49OgRDh48SCFGvojQXarAWbJxoCs4a0qdjwHlQW9yD7Vq1cK6detUgrOLFy+mNieRSARQolQqpUHSQ4cO4eTJk3ptLnEpV3JysuDf5Jmy3VmKWvXr10e1atUEgCubvB4aGqrVdWoDzpIgvmL1ZvL6tWvXsHbtWkE1ai7lKlasGL777ju0atWKdgtW/NwlEgkcHR1RuXJlVK1aFUBecI7MtUgyQ05ODrZv347Zs2dj5syZePXqFZKSkgBon2STk5MDMzMzTJ48Gc7OznQuKpFIcOfOHVoNuSBpC86ePn0aP/74I5KTkzUOhKsCZzkwa1gpArOKXThIh9myZcvqlVQoEonQsmVL2g2JvE7O9/Tp03xrElViO84qA2cBFBo4q1hsIDw8HObm5rh8+TImTZpEwVku7bR3714sXboUQF7HA2OJbFgDwJgxY9C5c2dqt6zdsPDV5s2b0aBBA/r8jS1dOs6SQjasbZLP0t/fH5s2baJ/x6Wd2FhQv3791IKzN2/e1AqcVQXMFnXhIEB3cJYAiiRRnPhLAAgLC8NPP/2EY8eOGf36ufLWPXXr1kXdunUF4x353ZUrVwSdhXQ5fkZGhtIiBA4ODoK/M7R0BWcVCw2kpKTg1atXmDdvHi8eVIgiz6py5crw8PAAkFdIKjs7G6mpqfj1119x+/ZtvY5PKuBnZ2cLCvMZyz41AWeJD1cGzip2TYyIiKCxTRac5TKu5HI5bGxsMHPmTDg4ONA1DIlPJycnY+HChXj16lWB3awNIalUijZt2qBt27YU1gIgWF/FxcXRa9ZE2oCzZN/h9evXgvgR0aNHj3DgwAEat+Ayrohfa9GihSBG4unpiaFDh2LDhg0AdAO5yXtiYmIA5K3vpVIpHB0dqc80hAqyVW3A2evXrwPIb5sZGRkUMl+zZg0SExOLrGsVl2GkCTBriA6zitIEnCXnIODsiRMnkJ6ejvDwcIwYMYLaJdlXS05Oxtu3b2FnZ6fnp8KliYjd1K9fn8bdyf/lcjnS09NhY2MDGxsbnc+hWAyVzNFI0R1Dzw8UwdnVq1erBGdnzJiBU6dOCa6XLfIbHR0NADhw4AAOHDig87qQSzdVq1YNw4YNg7e3N8aMGYMBAwYAEHY30kXx8fG0UBlrl66urjodj/jhGzduYMKECTh9+rTBwNkNGzagR48e+Qr2k32hAwcOcOCrkFWsWDFMmDCBzr3IWkcsFiMyMhLPnj3TuTNgdnY2kpOTaYdusl8JgHYaM9a8zdLSEh06dFAJzoaFhWH9+vUUnCXxXmV+c8mSJRSc5etzzSUSieh86PDhw9i1axdmz56NxYsXY9WqVThx4gTu3btH8zw0LUqpq4g/+uqrr1CiRIl8e9Tp6enYtGkTYmJiiuQ5qwNnMzMz6b4k2S/g++qFJ/IsGjVqhOLFiwt+5+TkhOHDh2PZsmV6naOgXB1j7qWqAmcBYV4cC86SufarV68Ee0JZWVkIDw/HDz/8QAtbcZm+CDi7aNEiOk6yOfFExPccOHAA9evX17oouzbSF5xloW6SV5yRkYH9+/dTcFafOTiX5srJyYG9vT1mzJiBOnXqCBpRAHnFS8gzz87ORnx8PNLT0+laifgqMgYCuU1ufH19BcCz4jNl1ySk0NbUqVPRtm1bQfFc4uvEYjGuXLlCC5irkyI4y8byFcFZMr8ICwsTxDYJrH7hwgUcOXKEzp25uLhMQzzjiouL65ORMcFZVcBsZmYmndixFfkUu4+R4DWZdAF5kzXFhQep4gTkVfBhu9GGhobi1q1bWLt2LWbMmIF+/fqhTZs2WLRoEU2kIMfVBJxlr0MxYM0DLoaTMcFZVWAiuwFTWAm5yjYL1YGz7EY3AWdJdT9lyTsSiQR///03zp07h4SEBIPfw5cmdR1ndQFnVXU+Liy7ZCvkAgUH4LUFZ48fP443b97kgxLZjfMBAwbovLnEVbBIoJgFtoDcamTsv4tKBGYcP348ihUrJvCHxIZI4qw2oKSm4Oz8+fMREhKCUaNGCWxTLBYjIyMD9vb2+O6773j1PDUin2+jRo0wfPhwNG/eHEBe8glbdTM7OxtmZmYYOXIkhgwZQn2lop8jP0dHR+PkyZMYP3487UDAPktN7ILtjlOtWjUAefO4jIwMChiqO4Ym4KxUKsXbt29x/PhxvH//XsNPMFfKwFmSWM7nmYaRsg6zpCussg6z+mwIZGZmwtnZGfXq1QMA+l0Acu2P+GFt5O7uXuTgbEZGRoHFBiwsLHD58mXMnDlT63v70sXaprW1tdHHHWL3APDLL7/g7Nmz+TZiWLsxMzPDhQsXEBUVBXNz80Lr1KpNx9lz584BQL45Z0ZGBp0P7dixA7GxsTxZvACxn8ubN2/yFbQxFjirDpgtzHUQe02K0hacXblyJSIiIvDq1StBonhmZiZd96SlpaFFixYGuQcu9SLPeeLEiShfvjydm5Lkl0GDBmHIkCEGPRdZ3xCfa8z1ly7grLIiGBKJBPfv38d3333HwdlCVunSpTFs2DAAwg7wDg4OaN++Pbp3767X8RXjj4rxRWNIHTiblZWltOMsC8ySrokE/tq9ezd27Nih9XqLK780mROR9Ua5cuXg4+MDCwsLwV6MVCpFfHw8xo8fj3fv3gmAVkOrVKlS6NatGx1/Wdt98uSJTt00NQVnjx07hqtXr+Kbb74RrIHI/VpbW2PhwoV6AUdc2qtZs2bo0aMHgNwE3TFjxmDcuHEAoLN/I2MnmQuzCbESiUTntRr5XoSEhNA9LFW2qgqcJUljt2/fxu7du3HixAkMGzYsH2iTlpYGBwcHBAUFwdbWtsjjwFz6idhmcHCw0TvMKkoTcJbtOLtz505s3rwZgwYNymeXJOa+e/du2sGPq3DUuHFjjBw5EkAeeODh4YFRo0bh+++/B6B7R9i0tDQkJibS9RU7jwX0605UUHdQ1i6bNm2qEpyVy+WYOXMmBWcLKvKbkZGBffv28SK/hSjyDDt16oTZs2ejVatW9HV9QYO4uDikp6dTuyQiUKI2IuuTW7duYdiwYbh37x4OHz6Mc+fOGQScjY6ORnx8PI098fwj01CtWrXQs2dPwXhL4L158+bpfFwSj2F9LvmZrEEMMW8ryCZ1AWfNzMwoAMb6TSAXnD106JDe1/ul6MOHD7h27Rr8/PwwYsQIzJ8/H6tXr8bx48cRHByM3bt3Y9asWRg0aBDGjx+PDRs2ICEhwSDdslUpJycHMpkMY8eOhbW1NV33k0LUHz58oJ00jVUsS5VUgbNEcrmc+88iVIUKFTBr1iwAuTZSs2ZN+Pn5YcaMGfQ1XUX2rAkgpihdvhdsF21V51UHzhI7PHv2LHbt2oWQkBCEhoZi5MiR+faEsrKykJ2djYYNG2p9vVyFL2Ib9vb2dM2r6IvZHPIOHTpQn2Ps4s26grMkLs+O6WTf/8OHD9iyZQt2795t1GvnyhN5ji4uLvD394eXlxeNLbNQLAFV2fmjIlxL5qrffvst+vfvT/9G0+uQy+VwcXHBhAkTUKlSJUEuBinA+9tvv+HDhw8a27eyjrNAfnD2559/xt9//50vtknOQ+YnLMzLxcVV9OLQLBcX1yclY4Cz6jrMAqCTILIglsvlsLW1hb29Pezs7GBjY0OD11lZWYLJHiCsUsouhtkkXxJsZiEGsVgMc3NzvH37FpGRkWjevHm+qtCagLPstfCAi3FlDHDWFDrYELsk3WELqsKvScdZFpzdtm0brl27li95RywWIzs7GzY2NliwYAGv3mwgqQNniT/UBJxV1/m4sOySbPgNGjQoX4cPRWkDzs6ePRt9+vQpsELukSNHuP80kthEQnbMvHbtGu3MUpQi3xU7OzsKIJLXiF8kXXG1DSxqAs4eO3YMvXr1Qnh4eIHd43n1ZvViN/gbNGgAPz8/ATjL2l9CQgIePXqE48ePY8qUKdi1axf69u0LIC8xnPgXsgEiFosREhKC06dPY8CAAVi/fj2uXLlCzwloFvBzcXGhAULWfx49ehSXLl1S+3514Cy7cb5gwQKUL19eo8+PFQvOuri4ID09Hfb29nyeaQApA2YB5ANm9ekwy4okg9na2gIQbrrJ5XK8efMGHz9+1HqTsKjB2f/97394+fKl0mIDxF7Hjh2r1T196QoICKC2KZPJjFp9Fsi/Zp80aRIA5UAX+Tk9PR1nz57FihUrEBMTo7aQliGlquMsC84GBgYiMDAQQ4cOzTfnTE9Ph4ODA44cOQJHR0eeLK5ErF3s2LEDo0ePxpUrV4wOzqorHFSY66AbN25g4sSJyMjIEHQiZ6UNOHv79m3MmDEDQ4YMKTBR/MiRIyhTpoxB7oNLvYg9OTs7o1+/fvTZVa1aFcOHD8eCBQsA6JfAQ4pikHMRe9YHoiLfGTJ3UeV/tQFnAeDjx4+ChEcC0wLAf//9xwtbFaLIc27fvj18fHzoa5UqVcLIkSNpRwZ9uiaSInrET0kkElhaWsLKykrv6yZSZp+qwFkgF9pgwdmTJ08KunQT+0xPT6fg7KlTp3hxKzXSZK5Gxm51f0sSE1u2bIly5coBgCBpRiqVIiQkBAsWLKCJM4aeKxJba9WqFQYNGgQgL3mX+K3bt28jJSVF62RJTcDZ3bt3Y9KkSQXGNg8ePMjX7IUsYmPDhw/HypUrMWbMGFpcQJ/OdGzCI3sMMl/OyspSWmBF3bWS+WanTp2wfft2/Pfff2rfVxA4S46XlZWFGzduYOHChQXGNgMDA1GxYkXtPoQvVG/fvi3qS1Crs2fPYvHixQDy9t1FIpFRgVkiTTvOSqVSxMbGYteuXYiMjCww5s7tsnBFfKavry86dOgAAKhduzZGjRqFyZMnA4De8SjFvXsAeq0nNCnyqws4+9tvv6ks8mthYYHevXvztVAhiX2Gjo6OAIQxKn3Edklkz6PtXJHdP//mm28A5M6F79y5g3379uHXX39Ve82qwFk274nsM/H8I9OQnZ0dOnbsCA8PDwC5if8jR46kMRV9wUGy/8JCD/qM3cRvkrW/qn0hbcDZq1evIioqSgCAKfrNWrVq6XzdX5KuXLmCtWvXYtKkSbh37x7evHkDABRCJmsQsg69efMmtmzZghEjRuDgwYOIjIw02t4G8ZnlypWDp6cnAGF+yYcPHygcTWylsFUQOEuukfvPolfLli0xZcoUeHl5YdSoUfD19QWgf/f4mJgYuv/CjrnFihUDoH2hATK2//nnn5g7d67KQteK4Gznzp0F4CwZu4HcIsWrV6/G4MGDC9wTCg4O5ntCn4DY3LKzZ8/SYhmKOevs/PL69evYsGED3rx5Uyj70NqCs9u2bcO///6LV69eKYW6SQzBy8vL6Nf+uYmdE2o7PpKcbldXV6xYsQLDhw9HzZo1AYByE8TWyHN1cXGBlZWVYA4JAA0bNkSnTp3ov7WxQ7IWKV68OBYtWgQrKysacwJAi6Tdu3dPq/vUBJxdvnx5vnkmO6YfPnyYj+lcXCYow7ee4+Li4tJT6gK0ZAItFospsLBv3z48f/6cvk4mWCw4u379elStWjVf8lVBwGxmZibtAEugssqVK6Np06Zo0qQJKlWqRCff5DwRERF49+4d7t69i/j4eDx79gwZGRmCDWlSKUyxmg9bSYVM6szMzGjC5+bNm9G2bVulnwkLarRp0wZAblWTkJAQwWfCAy6FI5KUKpFIMHHiRADAli1bBPamCM4CwNixY/NtuppKBxuysTJ06FD06dMHS5cuFdwnK0VwFgDOnz+P1NRUATibnZ2NEydO4Ndff0VqaqrSRQS3U8NLEZwdMmQIHjx4QP0S6yMJOAsAPXv2hLW1tSC5DDAduwSArVu3QiqVolOnTtSPKm6YK4KzU6ZMQXh4uAB6JJ9RQkICr5BbBPLw8ICTkxPdICMBlaSkJCQnJwMw3Aa0rhKJRHByckKXLl1w584dQWIlCbzExMToVP2ZgLOzZ8/G5cuXBd2gybnT0tJoIIrbpn4i43GDBg3oa3/++aeg+woZu65evYrvvvsOa9asQZMmTdClSxcEBATg6dOnAj9Cjks2CtPS0rBz504EBQWhR48e6N27N8qXL08rIKpL7GnTpg169uyJ48ePC3zUyZMnUatWLbV2pgjOAsDBgwcRGhqqdJ6py/fLw8MDgwYNQmpqKq5evYr//e9/3Bb1lCIwy3Z9MwYwCyCfPbJrDJFIBFtbW1haWuqUjEbAWQA4cuQIYmNjBRBhdnY2Lly4QP++QYMGgvMrEwvOrl69Gjdu3KD3QI6dkJCAoKAgBAUFISkpqcDER26vmmvnzp1Ys2YNgFzbTE1NBZALqRpDBa3ZyTME8opXsPYkl8uRmpqKixcvAgDmzZtHoW1jV8sF8sBZIHeOGhkZKUgWz8nJwb179/Do0SMB8KiYLM5tU7lYuwgICMDatWsB5NqnWCxG8+bNBcmibBypX79+AHI3tMicio0hEXCWqH79+tQfsesgZYWDCnsdNGLECOTk5GDmzJlYvXo1zMzMlI4J7NqdVEk/duwY4uPj8/nNBw8eAAD3lyYmCwsLtGvXDjdu3IBEIkH37t3Rvn17ALon8JDvUWxsrODf5Lvl6uqq07USm7p37x4uXLgAPz8/ODk5qRzTCTgrEolw7tw5ga9kwdkRI0bg1atXiIiIUJrAExQUhFKlSul03VzaizxPS0tLdOzYEX///Tfs7OzQu3dvOgbqOk8lx05MTASQlzRDEmcIQK6tiG09ePAAYWFh6N69u2CMYKUIzg4ZMgQZGRl0Pk7A2czMTMycORPR0dEIDg5W2jXR0dERe/fuhbOzs07X/aVILBYjLS0N79+/x40bN5CYmIjQ0FCa6Ofq6ooqVaqgRo0aGgPItWrVwvDhwzF9+nQ6HpOu3QBw9+5drF27FrNmzVLrq7QVG5scOHAgbty4gb/++kuwF/TXX3/h9evXOhU/I+AsAFy6dAkpKSk0VkTG/uTkZB4/MiGxz4d0mwUM05kuLS0N0dHRFAYg81c3Nzcaf9JU7HzTz88PQG4BVEtLS/j6+qoFBwk4C+QWt0lMTBQUryIQL7dN/bR9+3b4+/tjy5YtaN26dVFfToFq3bo1KlasiBcvXlBbl0gkRgdmidjYUsuWLQHkfnb37t0T+Ev277hdmoaIX7Szs0PPnj1RpkwZ1K9fnz5HfUGG5ORkAdhPOmKT+Zq2Nkl8582bNzFhwgTMnTsXPXv2VBrfZF8j4OyMGTMQFRWldK/y22+/hb29PeLi4grcS9elGCaX7lKcL+o7fyT2EBUVJXidjJUEztVEisCsXC6HmZkZnQvcv3+fdrPt0qWLymOx4OzSpUvx6tUr+r0gc1qyJuL+suhF7KhFixbo3bs3Hj16hF69elGQxBAAGFlzEHg2Ozubwi7aivWbAQEBGDRoEJo3b65yX4iAs0BubDc+Pl4wzyTg7Pfff4/k5GTExsbyHCQ9dOLECaxduxZxcXGC9TSZLwEQNAghY7dIJMKjR4/w+vVr/Pvvv5g0aVK+5iCGVOnSpdG3b1/8888/dJ1BdPHiRRw6dAj9+vUrstwSAs4CQGBgIP0sRSIRt0kTkY+PD7p164YSJUoAyL9frovi4+MB5IFpbAdQbUWu5/bt2xg5ciSA3D2fuXPn0iYmimLB2dGjR0Mul+PcuXOIjY0VrHmysrLwxx9/AOB7Qp+y1OW/A8KCa0CuDcXGxuLYsWMQiUQYNGgQLbphTCmCs0DueBMZGUltnazT//zzT6SlpSE0NBRRUVFK94QCAwNp4QQu5VI2r2LnhGyRSrbhjiqRdbSjoyNGjhyJPn364PDhw/j333/x8OFDiEQipKamwtPTE6VLl4aXlxcuXrxIY9hE9evXpwUvdRGxpwoVKqBTp044duwYXduTfJGnT5+ic+fOWs0DCDi7YsUKwfyC5xRzcX3a4tAsFxeXySgoKAienp5o2rRpoYCz5DiAamCWVJGfM2cOGjZsKJjUsImPTk5OqFOnDgDQRep///2H6Oho3L9/H0+ePEFERASePHkCQFgNnUAV7MYcu3DZtGmTWpBBHThrbm6OjIwMPjkrJBkCnGW7FiiCiWxQu7AScocNGwYAOH78OCwtLTFv3jyDgLPp6ek8QaKQxYKz+/btg6+vLwVnAaGfIeCsXC5Hz549YWNjo7KzUmHbJamQK5VK8fLlS2zYsAFisRgdOnQoMJCpCThLPofs7Gy+4VfIkkqlsLS0pF3hgFyfEh8fj61bt2LZsmVFXjGbfEdKlixJr48k8WZlZSEiIgKRkZE6QbOAanCWrX7Gfab+Iv5AHThL9Mcff2Dy5MlYtWoVGjZsiHLlyiEqKgo//vgj7t69i5iYGDqe5eTkCLqnJyUlITAwEDdu3EDlypUxadIklChRQmkxF0XVrVsXJ0+epH8H5Cb3fvjwAU5OTmo3bxTBWbFYTLsnaDLP1EQlS5bEyJEjMX78eJ4MrqeUdZhlu3AYA5gFcp9/YmIi/vnnn3yvy+VyeHh4aJWgo6iiAmeTkpIAgAetDaAXL15g06ZNAPJsk1SoNcbYrMkmH/mZfA/Y5I1PAZzNyMjgayEtxdqFor+8f/8+fvrpJ4hEIjRr1syg4CxbfdtU1udkbD937hyysrLg7+8vqK7MShGcFYlEOHr0qACcZcVt0vTk7u6ORYsWITExkcaN9PFnbBcjIG+8J4X/dDmuYnErS0tLiEQi+Pn50Wr2qsBZ0oVMGTgrEolw7do1ADyBxxTVoEEDTJ8+HdbW1qhWrRoA/RJyif2R8Z6t5q3r/JdNyB0+fDjs7e0hEong7e1tEHB29erVAPK66LH2uW/fPm6favTx40c8ffoU27ZtQ0REBMLDw5X+nZWVFcqUKYM+ffqgQYMG+Oqrrwo8JvEd3bp1w+vXr7Fp06Z8ib5paWn4448/YG9vj3Hjxqn1VdqK2JSDgwMqVqyIv/76i9oVsZ0HDx6gcuXKOvn0gsBZNo7BnouP6UUvZf7LEPaWnp5O175s7NDW1haA5uO6MtDG0tISaWlpOHToECQSCfr3768W9FYFzhLxQr+6a+/evfD39wcAWkDHFDurZGVlQSaT4fDhw/Dx8cHjx48hk8mQmppaKMAskTpwlvWbHAAzTXl5eaFWrVqCrp76xnVIkVbFroskrq0LMHvr1i0MHz4cOTk5WLVqFczMzNC1a1elRX61BWfj4uJ4bPMzFpkLREREAACNa5JYlKZFrQoCZrOysiCXy2FhYYH09HQ8efJE42OqAme5LZqWWF/j5+eHyMhICrQawm+yha3ZQkB2dnZaH6ugbsgSiQRNmjTRG5wNDw+nc03uN3VTUFAQlixZQv/N5jMCeUXPye/YuRRRVlYWbG1tC4T6DCFiJ+3atcO5c+dw8+ZNQcMSuVyOW7duoVOnTnRtVBRSBs4C4DZpIrK2toa1tTUA/f0lscm0tDQAoPAW2QfUtAgcUUG5cUeOHEF2djYWLFigETg7ZswYAMgHzrL5q9xffppStZdOckzIcyU2QcZHiUSC+Ph4HD16FCKRCAMHDjQ5cPbu3bsA+J6QPiIAa0ZGBm7evInY2FiEhYXB3Nwc1tbWKF26NKpVqwZra2s4OTkJ9g5VrYuJrzQ3N4erqyvGjx8PILfQirm5OZKTk2Fvbw9LS0ukpKTg+PHjdD4pEong4uKC/v37A9AvT43kBdWpUwdHjx4V7HFmZ2fTIgbaShk4yxYOAcBzirm4PjEZP0OMi4uLSwPt27cPS5YsgZ+fH27fvk0n6arEbmL17dsXvr6+NEmCDdAogrNPnjwRdAIrKPmWBWa3bNmCQYMG0UkNOa+yxEfSqRHITVpo1KgRxowZg40bN2LPnj04ePAgNm3ahN69e6Nly5aQyWQQiUQ0WE3EArPt2rWj96Jqgsh+bm3atMGUKVPg6elJgVl7e3s+OStEkQUcAEycOBFjx47NZ9uK4OyWLVvw4sULAKDBEkUwkQR8yc+FBSaShNycnBwEBgZi+fLl9D6VSRGcbd++PQ3WkI0ech6y6cMXEYUnstFqZmaGffv2oXbt2jRYp9hZLiQkBMHBwThy5Ah9/4QJEwSdldgN38K0S7ZCrlwux7t377B8+XKcOXNG5XEUwdmSJUsKxg7yf764LVzJ5XLY2dnh66+/BiDsHAcAL1++xPv37wEIi08Utoh9NGrUCMWLFxf4dlIIQ9+ENwLOenl5CToskXNwn6labMdXdXNKRXDWz88PzZs3ByAcc8nfXrt2DTNmzEB0dDRcXFxQuXJlbNy4EUuWLKGdr7Ozs2mSODk/8ZcvX77EmTNnMHDgQPj7++PWrVv02IBy2+7bty+aNWtGbUEqlSIqKgpr166lxSfUiQVnBwwYAF9fX+zcuVPjeaYmcnd358CsnlIGzJKfjQnMEnuNi4vDx48fASCf7ZYqVQqZmZl6+V8Czvbp04fCiySZg5znwoULCAgIwJ07dwBA7dqQBWebNGlCxw0yj2G/W9x36icLCwsKIZKNAbFYDJlMZvDEB22AWalUilOnTmHevHn02tixmICzS5cuFcDahSECzo4ePRpubm50XGFtmtum5lIFzJLv/d9//41Vq1bR8ZUV++z79euHOXPmwNLSUmkMiYCzW7duxc2bN6mPUgbMFtX6nHwHxGIxLly4gPHjxyMjI6PAsYFNbpo+fTp69+5NK5uzfpN8ptwmTU/FixenwKwhEh4B0KrOiuOmTCZTO49mpazoWlpaGk6dOoWtW7fSZBxVxyTgbKdOneh4ruweeQKPaYn41YYNG1JgVl/7JPFUMi8ltimVSuHk5KR1Uq6yLt1JSUnYtGkTTpw4AQAFzg8UwVlzc3MKy5KYPvvdUQRmuX2q15UrV7BmzRpMnjwZd+/eRUREBI2tkDglGU8zMjLw9OlTrF27FsOHD8fZs2eRmpqq9LhknQEAQ4cOpUUz2M4zIpEI8fHxOHfuHLZv3464uDiN9qa0EemQPGjQINjb29M4BbHzx48fA9CtWAGQB862bt0aVlZW+dZCPLb5ZYjYNVkHEXsi6zQSW1ClguLu6enp9Du4f/9+BAQEUEBXlQg4O3LkSNja2grWaTy2qbv27dtH10EymQwJCQmYPHkyLcxrSiJxLUtLSwQGBqJWrVpITU2Fi4tLoQGzRKxvb9myJfz8/FC3bl1Bl1EOzJq22EJ+hipuwc7hyLisbVG4gvbS4+LisHDhQpw9exaA8nGetUsCzrq4uAhiFIoJudx3ft4i63PFbq6axJYKGsfZOGp6ejoAYOPGjYIisurEgrPEd5N1EbdF0xIbd2aBWUP4TRaQZP2XtmsnZQAYkLcvRAoZqrpmAs7OmTMH9vb2dJ7J3iuBGrjf1F779++nwCyBmcn+NFljk0KqJN7M5kkQeKVNm/9j77yjo6q+v/1MSQ+k0rsIAgpSwhcRBEQEqYL0LiAkdBCkW5Beg4BUkRQSkCK9o6I0Cyg/UQRRQEogEGogPTPvH7zn5t5Jm5RJPc9aLJLJzL135u7Z55x99mfvN/D19cXBwSFb19hqxP329PTEx8cHQIkjCPbu3cvx48dtcv6MIISz/fr1A57N5aVN5j2y6i/Fd+TGjRvJjuvs7Gx10QpxrJTGdsH27duZNm2apmujJZbC2datWysF4yyfJ/1l/iO9vXR1sTKj0UjPnj0VIbd6LSyEsxs3bkxmu7bCUjjbsWNHZe6iLqSqXhdJG8049+7d4/Tp0wwfPpxevXoxevRoPvnkE9avX8/q1atZvHgxY8aMoUOHDgwcOJDly5cr++sZidWo54Wenp64urpSvHhxHBwcADhw4ADHjh0DtPdeFCzIiu8V527QoAFOTk5KN3fhj+/cuZPpeYgQzr700ksYjUaNXcq4u0SS/5CiWYlEkusEBgYya9Ys4NkE19fXl59++smmwtk///wTg8HA3r17U6ywo06+DQgI4LXXXtNcS3qdvCz/Lq7RxcWFl156iddff51Zs2axZs0avv76a4KCghg6dChvvvkmlSpVUl63dOnSDAsZLIWz48ePp2jRori5ubFhwwY5OcthMiOc/fzzz5VFaErCxNzo5JnSxkpQUBAff/xxmsdJTzgrFxG5S3rCWXWS1ZUrV9iyZQuhoaH4+fnliURxdYVcdUft8PBw3N3d0z1eesJZaZc5j/jsK1SoACQJcgTnz59n27ZtQOaTCbMLk8lEfHw8iYmJmiRZcb3CX2aFlISzBoNBBgPTQT1nEhUT00sOzKhw9uTJk0yYMIH79+8rj7/xxhtMnjyZtWvX0qlTJ7y8vJSiKOrNQrHpEBERQXBwMEOGDOGzzz7jzJkzQHLbFvOIPn36KEkz4pouX76sVFe0RgAmxmUHBwcGDRpEo0aNkn1mktwjICAgxQ6zOp2O+Ph4vLy8bCKYhWe2kZCQwGeffcb9+/eVY4vvj16vp0OHDtjZ2WXZ/1ornA0JCbEqQUL8PSXhrPpape/MOpbjnUj2j46OVpKusgNrquKq1+zr16+ncuXK9OnThzFjxijXmteFs3ItlDHSEsyKYhUiuTUsLCzVzzEzwtmAgADOnj3LmDFj8tQ6SMw3xfUcO3aMv/76K81jWSOclTaZP8jq3E3MT0U3RzFn1el0eHh4ULx4cavPkVqiuE6nIyIiggMHDrBs2TLu37+f7jFTE86q59NyTM9bpCYAyAri9ffu3QO0SRcuLi64urpafSxL+1QneN+4cYPVq1enG2dITTgr/Ly0z8yzY8cOpk2bxt69e3n69KmSfAJJxaggSfAn5lFxcXFERETw/vvvs27dOkVgbYm4p66urvTp04c33nhDcxwxH4uIiGDPnj2sX78+24Wzwp6F3VrOQR8+fJjlc6QmnJX2WHi4e/cuDx8+1PgjgDJlygDpx1HTmm9axoyaNWtmtR9OTTgrbTNzrF+/XtlPNxqNREdHK//ndeGsk5MT69evp0GDBnz55Zc5KpgVpCWcTUxMxMHBQdplIeLu3bvExMQocwFhi9khZBDFrWJiYhg3bhw7d+5M9RjWCGdl/KjgI+a6Yn0OSWsLV1dXPD0903x9WraonhPCs4L9LVu2BDImdlQLZ6tUqUJMTIzSNVzaYt7Ccj2eXfGjsLAwzWOiYIu3t7fVx0rNVtWxzTVr1nDy5Ml0j5WacFaNnHNmnP379zN37lwgqYmIyFEoX748jRo1Yv78+axdu5Yvv/ySdevWMWzYMHx8fDTr91deeYVp06bh6uqqGdNsgbDRoUOHUrNmTWVfXV10YP78+Vy4cMFm12AtJUqUYMCAAQwaNIivvvpK2mQBRPihyMhIICnPIyEhgYSEBJydna06Tlpje2JiIo6OjsAzUfiVK1fSPJalcLZNmzbJhLPSX+Y/Mlp8OigoiI8++oixY8emKJx9+PBhnhPOqscOaaMZ5/jx48ybN4+hQ4dy8uRJrly5oqx9jUajkkdhZ2dHdHQ0Fy5cYPny5YwePZoBAwZw6tQpwsPDgfTXDeq1q/ox8fu///6LXq/X7JuXKVMGV1dXqwr9WXNuT09PnJycNIWnxLVnJc5vKZyVcXeJJP8iRbMSiSRXsUx0FJt7I0aM4MSJE1YFTjIjnP3ggw9Ys2YN48aNA1LvMBsYGKgEd7ISxLHckFZPxipWrIiPjw+jR49m2bJlBAcH89VXX7Fx40ZNwDoj51dvsAiB7pYtW5RuFJKcJaPC2R9++AF/f3/efffdPJWQK4Q/6o0VIbZJi/SEs3KTL3dJSzgrElPFQvbff/9l4cKFHD16VGOLuW2X8MyPx8XFAc82/KyxTUhdOCvsUnbozh1atmypGbPUmxohISF8//33uXVpCsIGLSuPi6CStQHv9LAUzhoMBukz00A9Z1q1ahXNmzfnwYMHmo6dqZFR4eyJEyf44IMPFOGsGBtfe+01pkyZQlBQEG+88QblypVTjiFeq+40GBsby8qVK5kyZQqTJ08mPDxc6ZQjhNIANWrUoGzZsgBKADssLIxDhw4B1gvJ1R111O9Hkrts375d2Yi2s7NTBE2Q5APHjBmjCGZtcc+OHTvGH3/8ASRtgotE8lq1alG5cuVsO5c1wtkDBw4QEBDAgwcPrDpmWsJZOd/MHsT8UG1/JpNJsZfswJpNPss1e/369ZV5oJ+fH2PHjgXSFs7ev38/V4Szfn5+GuGs3FCxjrQEs+r1QGxsLF5eXuzatYtSpUqlen8zKpw9ceIEI0aM4MCBA3lmfW75fQBYvnw5L7/8crrHTEs4K96ztMmCj7B14T/FY0K8kFnBrLDRuLg4ZW10+/Zt9uzZQ0REhFXHTEk4K65J+s3CgXpto/5ZiCjVYsq0SE/IYDAYuHLlCkuXLuXWrVvpXlNawlmQyTsZZcOGDUyaNIk7d+4ovkfMkcR4K7raqMUsar/g5OREVFSUMo6lRdWqVenevTt169YFtGt0nU7HnTt32LFjB2vXrlW6Y2fnXLF06dJUrFgxmY8ViWiWCT0ZJSXhrIxtFh7i4uKUwpLqTsZFihQB0o4ZWRN3V883xb6ltaQknJW+MuNEREQohcUEotBZfhHOOjs7ExgYSNWqVVMUtuQEqQlnHRwciI2NlT6zEGFZnEXg5eVl1eutKW4lOu8JX5wa1ghn5TyzYCP8oSimImxHFA9Mq1hFRgWzGS3Yr0YIZ8ePH0/NmjUJCAiQtlgIEHYiChWJeaYoSKXuBJ4W6QnAHBwcSEhI4OTJk1bvsaclnJV+M+P8+eefBAYGEhsbq+xhi/VFs2bNmDlzJp999hnt2rWjcePG1KtXj1deeYVRo0axYcMGpk6dSoMGDShbtiwLFy6kaNGiyfbXbYE6njlgwAA8PT2Vtbw4/4MHD9i7d68iZMxNSpUqxfvvv6/ktUoKFmJOJ8Z0tZDM0dFREbumRVprdDG2x8TEAM/G9hdffDHdY6qFs76+vpqOs9Jf5j/SKz4tflY3jBLx0K5duzJu3Lh8JZyVeR4ZZ9u2bUydOpV9+/YRGRmZrFCl+Kdec4h9jsjISE6dOsWECRP46KOPlOZngozmhMTExPDLL78o+zri9WJvMjv20xMTE3n69Kkmvi7mH97e3lmei1gKZ0XTAxlDkkjyF1I0K5FIco2UOoOIarORkZFMmzbN6m41GRXOXr58mcWLFwNpJ9/Wq1cvWYei7EBdSUX8LyZtnp6e1KpVizp16ijXnJmkePUGS9OmTSlfvnx2XLokk2RUOHvw4EF+/PFHxfZyOyE3pQQJdSXS9EhNOGs0GomLi5OLiFwmIx1nReVlyBudjy2F3JYbftZgKZytUKGCYpchISHSLnMBDw8PRWgokglFYn90dDQHDhxQKprlFgaDAXt7e00FXJGUptfrM9T5Jj2EcLZFixbSZ6aBes4UFBTEkiVLiIiIoF+/fjx8+NDmwln1GOni4kLlypVZvHgxc+bMoUePHtjb2yvjocFgUDYbha+8du0a27dv591332XBggWcP39eMwcsVqwYI0eOVALY4nVfffUV3377bfZ9kJJcoVq1apQuXVqT0KIutGMymdi4cSNHjx7FYDBoOq5lB/fv32f79u1cvXpVeUyv1yuB6+bNmysdarKLlISzQpQp6Ny5s9VJF5CycFYKwLIPUT1TJEqIjaoiRYrg4uKSLefIqGBWrNnt7e2VmICvr2+6wtlZs2YpwtmsChSsxd3dndatW+Pn50fJkiVJTEyUGypWkF6HWXUCoIeHByEhIUqBgbRiORkVzkZERCi+ObfX52KcsFyft2jRQrnu9EhJOOvl5UVCQoL0l4UEYSdRUVGANlYpCp2lN3dOL4YkCv4AzJgxI0PJYCkJZ2X3r8JFVFSUpgOnsE9vb29lPZUW6RUFFOsqgGnTplGqVKl0ryk14aydnZ1MMMsgmzZtYubMmUCSMFYt9hP3Rj0mi7+LuZ3JZOLNN99k2LBh2Nvbp2kT4m+vvfYa3bp1o0aNGkBS11fhA8PDw9m5cyerVq3K1iIr6u6flsezs7PTvNesIISzoqOuk5OTjG0WEh4/fqwpvCb+d3d3B1KfH6Yn+srKfFONEM4OGTIEeDaXl74yY3h7ezNs2DDatm0LoBGFJCYm5gvhbFq/5ySWwllfX1+ee+453N3d2bBhg7TLQoIYj9Vre7DOv2VEpLh8+XKaN2+e7jHTEs7KJPGCj5gHCgGMJakVGchJwazAaDTSqFEjAgMDqVatWqaOIclfCN8kiv1aFgGyxpbSE4CJYogAn332GbVr17b6+lISzjo6Okq/mQHEmHjq1CkuXrwIJK1dzWYz7dq1Y/Hixfzvf//D1dU12VgpxtC+ffsye/Zsdu7ciaenpyJkzQnEeWrXrs1zzz2neQye+dd9+/bx559/aq45t8iN4jGSnEF8nyy7xxsMBry8vNIt0JKRIqoZzY2z7DjbunVrihUrJvcp8xnpCWbVNqNuGCX8npubG126dOH9999Hr9fneeGszPPIOKKQRXh4uHJ/xZ65sB0xDul0Ok1uujpf7u7du3z//ff079+fdevWKV2tM1NoUvgtta9SF/TNKgaDgcjISKKiopQcK3GNxYsXz5ZzCOHsyy+/TGJiIq6urjLuLpHkM6RoViKR5AopJTrCswl8dHQ0xYoV44svvsDBwcHqY2ZEOAtJiRApVdixpWA2NVILimQlWUJ2DctbWCucVYvD1AIsyDsdZjMjTFQLZ6dNm0br1q1JSEiQi4g8gjUdZ9X/1H41MTGRJk2a5IlE8cxu+KmFs7NmzaJq1aoyQSKXMJvN2Nvb895771G0aFFlnFb7x/3793Pq1CmAbElezOx1Xr58mdu3byt+UPjqYsWK4ezsnK2CNg8PDz799FPatGlDYGCgtM0UUAtmZ8+eDTxLEL106RI9e/bMkHAWyLRwVozhIrHfx8eHTz75hCVLltCnTx/s7e2VsRWSbFtsmFy5coXQ0FB69erF6tWr+fnnn5Xz1apVizfffFM5vujA8/PPPytCNkn+pHr16qxatYrSpUtr7q8IVJtMJi5cuMDixYv54YcfAJLNIzOK2l7WrFmjdC1WJ6EDvP7660pia3bbmKVwVogI4VlSmRjXM4JaONu4cWO52ZeNpDS/EuuV7LSNb7/9NkXBbHprdnVMwBrh7Ny5c7l3716OJigI4ezQoUNxdHTEYDDItVAaWNNhVi2Y3bhxoyKYtea+Wgpnp06dmqJwFrSinbywDsqOxEdL4WzLli0pU6aMtMlCgk6nIyoqSumuqS7WUbx4cVxdXdO054yIbJYvX06rVq2U81iLpXA2JiYGd3d3OaYXEiIjI7l3756SpClsp1ixYkDaCYbpxTgt7TMjMc7UhLMyecd69u/fr6zZhZ8R97lMmTI0atSIhQsXsnr1arZu3cr69esZMmQI9evXB1C6aTZo0IBp06bh6uqqGbtTQqyddDodb7/9Nj169KBKlSrKucVzdDodERER7Nq1i4ULF3L37t1sEc6azWaePn3KvXv3NPFVQClOlF37UM8//zyDBg2ic+fObN26VdpjIeH27duKj1MXwihZsiSQ8l5hTgttSpQoQfv27Zk0aRI7d+6UtpkBhL94+eWX6d+/P61btwa064/80HE2L6GOqTVu3JgJEyawdetWZWyQFFzEfbcsyqrT6XBwcFCKDaSGNZ2/MltsICXhbMmSJWUh1UKAiHFFREQASfNSo9GIt7c3bm5uyV6TUVvMDsGswGg0Wt0JVJL/EflNQjgj/JTBYMDd3T3doqcZLY6emfiRWjjr7e1NdHQ0Hh4e0m9aiV6v5+bNmwQEBBAdHa0paiU6zKq/85Y+RF3YrFSpUri4uGgK+uQkpUuXZsSIEQBKrpO4lps3bzJ//nxiYmI0uXsSSXYi7F6d4yR+V4vTUiIn1uhq4ezQoUNp3Lgx5cuXJzg4WPrLfIK413v37k23w6x6L13tk4sWLap0nE1POKsWgNuSlISzZcqUkYV+M8iWLVuUQpVGozFZoUrhg9zd3TEajYpuQx2rhiS/ImJOCxYswN/fn8OHDwNJxffTw2w2ExUVRXR0dDIfeOnSJS5cuJDl9yyu47///lPmliL3DpJi79mRv/nyyy8zduxYXn31VTZt2iRtUiLJZ+ReCUeJRFJoSS3RUUzaPTw8CA4OzlCio0BMoPV6PV27dgUgODiYv//+W3lcvVgUkyF1t5qAgIAcF8xK8jZqm1EnXGdmU0EE3wwGA6NGjQJg5cqVKdolaDt95FZCLiSvKJ7ZjRXxHS1SpAgTJ07E3t6evn37Urly5Wx5H5KsYSmc7du3L2fPnlW6ignU3e9MJhONGjVizZo1QM52Ps7uDT/xvnx8fNiyZUuGCjdIsg9x78qXL8+rr77KwYMHlQ4woitnTEwMM2fO5IUXXqB69eq5MmbrdDpu3bqVYuXnOnXqUKRIkWw/p6enJwsXLpTzkzT48ssvmT9/PoBiK0ajkStXrtCzZ09CQ0Px8PCwyleJCnoiMRfg+PHjyjiuTqwVwtkFCxYkq54r7LN58+Y0b96cjh07snbtWs6fP8/Vq1cVfyrGSBHAi4mJ4bPPPqNkyZK8+eabDBw4kBIlStCmTRsOHDigbPIlJiayZcsWOnfuLBO78jlVq1Zl6dKljBo1imvXrmnWL8I+/vnnHxYuXAg864aR2Tmp2m9+9tlnBAQEAGgC4wDPPfccnTt3BpK+E9mNEM7q9XoCAwOJiYlh+fLlmqSyjL4/IZwdPXo0Dg4OjBw5UgatswGx0aDeYElISCAmJibbqoHGx8dz69Yt3NzcePTokeIXU+swa2mT6piAr68vAP7+/orfFxsncXFx7Nq1C3d3dyZPnpyjBafc3d158803MRgM1KtXj0qVKuXYufMTthbMClKKI82aNYuYmJhkXb3FNYl1UPPmzVmxYgWQ/wSzAvF91uv1fPTRR9y7dw9vb+9seR+SvI9IiACt/aS3Fs6ojWZlTC9SpAgzZszgyZMnHDt2TBa3KkSIDq5qgb8osgWk6u+z0qXbWvtUC2c3bNhAt27dANi4caOMcabDn3/+SWBgIHFxcZoq9mazmddff53+/ftTq1atZEn49evXJyIigrNnzzJjxgy8vLxYvHgxRYsWtXrsV6+dunTpQmxsLCEhIVy9elVTtAjgwYMH7N+/n0ePHvHhhx9SsmTJTHfJEeuoxMREjS2Lxzw9PZXnZdectFq1anz88cfK90VS8LGcs4p1T2rz09zoTAfPRLx9+/aVnZUyiPozr1WrFgMGDACeFSEQ65CEhIRkwll/f3+aNWuWS1ed91GPCw0bNszty5HkEOL7dOfOHSBpHmI2m3FyclLG5ZTISSGDTqfj1VdfZfr06cyZM4dly5bJdVA2kF17iZb3NKsxIXFN6g5MYjxXJ6sLMlIkKLsFs5LCh7C/x48fA0l+U9ino6Njqq/NSXG3EM7GxcWxatUqVqxYIf2mFYi97q1btxIREaHZIyxbtix9+/bF0dEx3Xti+bfc8jVms5lXXnmFUaNGsXTpUkUgJPa2zp8/z4QJE/D399fExSWS7EQUiBbfJ3VMU/hPa8d2W6zRxfUUK1aMcePGKT9LMk5uza3+/vtvZsyYAWhzOzLSMEoIZwEWLVqk2UcXwtmdO3fy9OlThg4dqnR+tSWWwtmoqChOnjzJkiVL5JhuBQcOHGDevHnAM7sQe9lms5nnnnuO8uXL0717d1xcXKhQoQJ3794lJiaGM2fOcPbsWY4dO6ZprCRi2SLmdOjQIa5cucKNGzcYMGCAJgc+NXQ6HUWKFMHd3Z2rV69qHo+Pj+fGjRtUq1YtS+OxOP+ePXuUOSY8W6OVLFmS1157TTlnduDj48PKlStlTrFEkg+Rs36JRJKjWCOYzWyio8CajrOWlUPExH/Hjh34+Pgk6yImKVwI+7HsKAMo1WjUj1s+Pz3S6zgrhLLqxxITE/Hx8VGEiWKRmx3klGBWIBKC3Nzc+Pjjj2UyWR4jrY6zlv5Tp9Ph5ORE8+bNlceyK+Eltzb8xGtlUlnu4+3tTYcOHRRBjvC/4ucnT54wcuRIrl27li1dPzKC6Kh37NgxIGlsEPYv/Fp2VCqzRM5PUueff/4hJCQEQBH7qzcerly5Qq9evTLUcVYtnB08eDCNGjUC0u84qx7r1c8zmUxUr16d6dOns3z5cjp06KAk4qjnvmphblhYGIGBgfj5+TFv3jzq16/PO++8ozzPaDTy9OlTVq1axZMnT7Lp05TkFi+88AJLly6lfPnySrdXtS2qhbOZ7TirDjqvWrWKlStXAskFs87Ozrz++uuK3dty06d06dJ07dqVnj17snr16iyJawQ6nY6XXnoJf39/qlWrlp2XW2gRGyzCTsTY5+zsnG0bA3Z2drRt25Zx48ZRqlQpEhMTlQ5u1mzyQfodZ4Wtly1bFl9f31zZ0PT09OSdd96RgtlUSEswK5IMbBlHsuw4q44BiMRFT09PBg0aBKQu3MoMuSFgUBfukILZwoPZbObRo0dERkYqFZ6FXxVdQlKqFJ0bNurq6oq/vz9Hjx6VyRGFiIiICKUCuboKeVpJXOnFOLPTPoXvrFWrFlu2bGHv3r0yxpkGYpw9fvy4UkFep9Mp88q2bdvi7+/PK6+8grOzsybGI3728vKiRYsWBAYGEhAQkKxglTWINZZer6d379706NFDuW/qbrU6nY7o6Gi++eYbhg0bxvXr1zM91otj7tq1i7CwMI0419HRkSZNmmTquOkhY5uFC+Hb1HNXSNkOckswK5CC2cwj4jVCOCs7zmYdKR4rvAg/px6X09pnyg0hA0DTpk35+uuvZbHMbEDsdQPcunUr08dR39OzZ88CSfGqzCKuy87OThPvNJvNxMXFER8fr9imFMxKchrhj6KiogCSzTVTm9vldHF0eLa+at++PTt27OCFF17I1DEKGyIe+OeffwIosXd4tm9Xs2ZNIOtzJmFHlsV+shtxna+99hp16tTRnEvY5LFjx/jss880hYslkuzkyZMn3L9/XxmbhY0VL148w8UwbLVGF/NNb29vKZjNBKIAj2XecE5RunRpOnfuTNmyZZXmExndS4e0O87a29sTERHBuXPncHV1zbH3phbOjh49mqCgILkWsoJLly6xceNGnjx5oin+bDabad68ObNnz2bhwoW8/vrr/O9//6NEiRK89NJL+Pj44Ovry8qVK5k9ezadOnUCknIqQLsHfunSJZYuXcqCBQsAbQ58apjNZsWG1Gvv+Ph4li9fzoMHD7I8Hp84cYKzZ88qcVFxvbVq1aJIkSLZPtZLwaxEkj+RGdcSiSTHyAnBrCA94axlx1l4Js6xRVc4Sf5B2IxYMIaFhXH69Gk2b97M3LlzmT59OpMnT2bOnDmsXLmSffv2cfXqVe7duwckTeyt2RRJTzgL2gCH0WikRIkS3Lx5E3j2vcmu95xWsNpWGyvi+y03Z/ImaQln1QtVs9lMdHQ0oaGhBAQEaBbfWSGnhdwpIW0zb9C8eXPee+89QLuhLZJ/bty4wdSpU7lx40aOCWfNZrPS+fann34Ckvx+QkICZcqUoUOHDoC0o5ymXLly+Pr68uKLLyrBYWEzauFsz549My2cHTJkSIrCWeF/UhPOCsTzixQpwvPPP8/8+fOZNWsWQ4YMUY6pFkfq9XplzPzrr79Yv3497dq14/r164pYW5zjr7/+Ijw8XDmOJP9iS+GspWB2yZIlgDaxR9jc//73PwYPHoyTk1OObBqXLVuW0aNH07RpUyB7xnWdTieTxbMRYY+Wj9nZ2WXr5+zu7k6rVq3w9fWlbNmyxMbGYm9vb/UmH6QtnI2Pj6d8+fJs2rQJLy+vXPOZshBGyqQnmBU/2zqOZCmcFdcmiIyMZO3atZw6dQqDwZAj6yBbChikPRY+dDodcXFxREVFaZJ3IEk0a/mdyo0EHoGrqyslS5bM0jEk+YvY2Fji4+OVBDPhozNjn2CbWJIYO2rWrCkFs+mg1+u5ffs2wcHBxMTEKAlYZrOZZs2aMWPGDE2HIvW4JH4W96lixYoULVoUk8mUpWIZer2efv360adPH6XIjnqdL8Ta58+fp0ePHpw6dYq4uDjlONaM++I5jx8/5vTp0wDKdScmJuLq6kqFChU070+SN7FcM2R23pfS67Ijnin2qMT3Sq/XY29vj5eXV7Jz5dZYLsk66jVHSsJZ4ROlcFYiSR3hz9XFJ0VibZEiRXBwcEjmq3Oj2ID6dU5OTpk6hiQJdXGBiRMnMmXKFC5evJjh46jv6b59++jRowcjR44EUPYNM4OYC0RFRSk/C7t0dXXF3t5eU/wlN/fPJYUP0TExIiJCeUyIEby9vVMU0qRlq6J7ma1s1dHRUeb9ZQCTycS///7Lzz//rCnAYzQa6dy5M0WLFs3U2sdyjSP27SMjI3n8+DGxsbHExsZmy3tIiZo1a9KqVSsAZX0kYkvR0dHs27ePLVu2KDYnhbOFl5TmfVnFZDKleJyMFrWytb+Uc4PMERwczLvvvsuqVau4du1ajjdmEoLSYcOG0a5dO2XPJC4uDjs7uwztpUPKwlkHBwfi4uKoUKECq1atwsXFJUf9pPDZrq6uyeJaEi3C1/zyyy/8/vvvQFLs22w207p1axYsWEDt2rVxdXVN8T6KNXKHDh2YOnUqixcvpmjRopoi6mp7iomJYd26dUydOhVAifOnhr29PW+99RZ2dnbKmCv29G/cuMG2bduU4qmZISYmhm+++YawsDDlesW6rFOnTjg7O0t/J5FIAMieFnUSiUSSDikJZtWbCNmZ6ChQJz907doVeLZw+fvvv5XH1V1Dbt++Tb9+/Vi8eDEvvvii1YsHScFBr9cTGRnJr7/+ysGDB/npp58UkWpqODk5UbJkSV5//XXq1q1Ls2bNrO4AK5JjDAYDo0aNAmDlypXKBF4sFMRk/ujRoyQmJjJ8+PBsqaKUW4JZSf7AUjjbt29fzp49q9i3Onn833//5auvvsJgMNCpUydloZ0ZO8mNqqOSvIm4p+3bt+fChQscP35cCTiKIArAb7/9xowZM/j4448pXbq0zcdvYWdr1qzhr7/+UgJAYkP81VdfxcXFRc4jchiz2YyDgwMdO3ZEr9ezYcMGLly4oCmWYtlxNjQ0FHd3d03CREpYCmcFJ06c0HSEFc8VwtkFCxak2flGXFvTpk1p2rQpTZo0Yffu3Rw7doywsDAl+GgwGJT3YDAYuHfvHg8ePEiWPHH58mW+/PJLZs2aJbt2FACEcHbUqFFcu3ZNY8uWwlmAJk2aaOaOKZGWYFasz4Qvq1atGjNnzsTd3T1H/Zk6UV6O63kTo9GoKaKSkJBAVFQUMTEx2brp4ObmRuvWrYmPj1fiCRnZ5ANtTEB0lF28eDGlS5dm48aNeHl5pTsGSHKWtASzuRVHmjVrFjExMZpCGaIC7okTJxQbql+/frp+OC1yu+OXJGfIyv2yxb22t7fX2HZaRQSkjUpyGnVle3XSRUpVvHMzeVyu+9NHxBBDQ0OJiIhQCmGYzWbKlCnDu+++i7Ozc4aPm5XPXj3md+/eHUdHRzZv3sxvv/2mWeebTCaMRiP37t1j9OjRvPfeezRt2pQXXnjBqnFf/G3z5s0cOHAA0Aoq+vbtS8WKFTP9PiQ5g3rN8M0331CnTh08PT0zfBy1vezfv59bt24xcOBAjT1mFnWXZEhKmhP/iwIZsjNd/kfte4RwFp7ZlIh9JiYmKj8L4ay/vz/NmjXL3YuXFCrU6/Ss+Ljs9kHimkTHRJFMDM/WR46Ojprz5YViA9IHZw31OP7++++zb98+XFxcWL16Nb6+vlZ3o7QUzL7//vsAHD58mHHjxrFo0SIlfpXRWKNYj1uKbi3XQ7lVaE2SM2TXPoxaBCgK72YlbmpZLFD8L9Z0lsj4Uf5Cr9fz8OFDYmJiNEVTTSaTUrQsI/dF3H9hy8ePH+fWrVscPXqU+/fv8+TJE+Lj47G3t8fNzY1atWpRunRp2rRpg5OTk1LEMivfBWFL7777LhcvXmT79u2a3FCTycSNGzfYvn07Xl5etGjRIktxfUnOox5r4+LiMl3UV33Pr1y5QsWKFbNlfS5iSWJtptfrNcJKcf0yZzP/ERQUxOzZswFYsmQJe/bsoXLlyvj5+VG8eHGNwNNW+RXCRl1cXBg8eDAGg4GAgACePn1KQEBAhvfSIUk4q9PpWLJkCTExMVSsWJENGzbg7e2dK3vp0satQ6/Xc//+fb744guio6M1hSpfeeUVpk6diouLi/L8lD5X9TzR1dWVNm3aULZsWVasWMGvv/7K48ePNQ3KxDG2bdtGTEwMixYtSrGBmZpy5cppxLJijfPkyRN2795NxYoVadKkCfb29hn2cUFBQYSGhgLaRm5dunSRcTCJRKJBZoVJJBKbk5OdQSyxRjir3iz+77//eP/99/H396dGjRpS8FKIePr0KX///Tdz5szh+vXrPHjwQPmbvb29MqG27FgXHR3NlStXuHLlCqGhoVStWpXevXtTt25dypUrl+55rRHOivM+ffqUH374Ab1ez9ChQ7MknJWVSCXWYI1wVnwnxHdAp9PRqVMnpdJYZoLoMigogaRgzQsvvEDbtm25fPmyUhlM/ZyEhAROnjzJhx9+yCeffEK5cuVsPn7/9ddfnDx5EkjqECKSJDp06CC7GuYCYjPL3t5e6fRrKZw1mUzK+H358mV69uzJxo0bMy2c1el0ipg7M8JZSxv18fGhevXqDBkyhMWLF/Pnn39y9epVZRNFbG6ntHEn3t+JEyf45ZdfNOJeSf4lO4WzGRHMli9fntWrV+Pt7Z3t6zNJ/kad7CAQaxZbzMXc3Nzo0KEDrVu3xtvbO1PjuzomMGTIEFxdXWnRooUUzOZBclswK8iocPann34Cnn0XfHx8MpVgI5PJCi6WfsayIrO1qO/1kydPUuzikRmePHmiJMUBSgJP0aJFNc+TNlowsbTPzPpT9X2OjY1NUdSameM9evRIEc6Kuao6adOyyrmMJeVdhM87f/48gCZhsEyZMtSsWTNbzmNpw5YdYyzvt3rM79ixI56enmzcuFEpXCn2ssR35fHjx6xYsYITJ07QqVMnOnbsqBxTPEddsAuefSdCQ0OVNZt6f6x27dq89tpr2fLeJbZD7SuHDx/OiRMnGDFiBF26dMHd3d1qX5Ka0Mbe3p4+ffpkOTFXdCEUNm82m0lISODp06dKLEkKZgsOaQlnhc0mJCQk6zgrhbOSnELtO9U2mRkhofBBf/zxB/b29lStWjVbrjG1gkHq/Se5l14wEHY3btw49u3bh9Fo5OnTp3z33XeYTCaGDh2arnA2tXHcwcGB+Ph49u7di8FgYP78+ZmKNYo5rLe3N1evXlXOmZCQQFhYGHfu3KFkyZJyzVOAUfvIx48fK909M3r/1K/5559/qFKliiYfKTOoY0aWncSE4EEtRsztQgMS6xGf+71794AkX2IwGHBxcaFEiRKa56WHsDOR13bkyBHFP6Y27v7yyy8AbNy4kZo1a9K/f3+qVauW7Bozglos/v7773Pjxg3lPGJdZDKZOHv2LBs3bsTR0ZHGjRtLG8wnqP3llClTqFWrFm+//bayJrYWtW3t3buXhQsX0rt3bwYNGpTl9bno0C2Ea2J+aWdnpzwnvXi7HNvzHup9S0dHR2JiYvj333/5559/OH36NFWqVKFLly40bNgQLy8vm+arqYWzAwYMwGw28/rrr1OzZs1M227RokXp0qULUVFR7N69m+Dg4FwTzEqsQ/iDH3/8UVOoUq/XY2dnR9u2bZW9lIwet1atWkyZMoVt27axc+dObt++jcFg0OgsTCYTe/fuxWQyMX/+fOzs7FL1UQ0aNKBXr14EBQUl68588eJFvvjiC8xmM40aNcLZ2TndxhTi56CgIBYvXgxo4+4VK1bk9ddfl/5SIpFokEowiURiU1JKdISkYItIRLBFoqNATNIAunbtSt++fZUNFXWnRLVwduzYsZw/f17zWknB5Y8//mD16tX4+fnx+++/8+jRIyCpaqIIZphMJmWjWWxUqJ+XkJDA77//zuzZsxkxYgRHjhzRVARNzZbUQcJRo0YxbNgwTUIPJNlnVFQUR48eZeXKlVy6dClT71du8kkygqVwtnbt2iQkJCiiCfVGyJUrVwgJCWH79u08ffo0mR2nRXp2KTdRCifCfjp16sSbb76Z4r0WfvrkyZN88MEHXL161abjd0xMDDt27ODXX38Fns0zhK/38/OTYsVcxFI426dPH2VjTR08s+w4+/DhQ808Nb3jC+Hs4MGDady4sXJMdWBPLZy9f/9+mhuCapydnSlTpgzz589n1qxZDBw4EAcHB8WmRSASkifwGAwGbt++zY8//pixD06SpxHC2fLlyytJB2pbVAtnf/jhB4Bk46/a/lesWKERzIrkWSGYLV26NMHBwZQoUUIKZiXJEGsedRcOg8GAq6srrq6uNhPOent7A5nvJiZEGQC9evWiePHicpMvj5GeYFb8LASzoaGhORpHmjp1qlLl3jKGJISzq1ev5vTp00ByP5wWMpms4KL2MzNnzmTz5s0AGV6rqO/1jh076NChAxcuXMjy9ZlMJmJjYzVzYHEekWQkYmFSMFvwUNvn8uXLuXv3rtVrFjXq+7x7927mzJlDeHh4lq5NnZArzqFOMFOfOy37lCKwvMXFixc5c+aMUhBKJKp27doVFxeXTMVwLF8j5gTx8fFKUQBIKvKSEuoq+E2bNmXkyJG88847QFK3Y3XCbUxMDD/99BOTJk1iwoQJbN68mcjISE0RLbHO2rVrF5988gnz5s0DULqIiJ9btmxJjRo1Mvy+JTmHZWe6b775hpiYGL766iu2bNnCw4cPrZr3pSa0MRqNzJs3j6CgICDjcwQ1cXFxQFLHRPWc1WAwyP2gAoja9oRwtnXr1kCS7Qr/pRbOHj16NBevWlIYUPvOQYMG8dZbbxEXF2dV/F2N2gft2bOHLl26sH79ev75558sX5+6o6fY69TpdDg5OSlzYlmYpWAxbtw49u7dq3Qu0uv1REdH8/3337Ny5UouXryY6mtTG8ft7OyIi4tDp9Nhb2/Prl27+OCDD7J0nQ4ODimue7y8vPi///s/ueYpoKj95rRp0/j000+5c+dOhuKLkFwA1r59e/z9/QEytd4XmEwmoqOjefLkieYYOp2OokWLaoQLaRVpkfGjvIf43B8/fgwkdQ9OSEggOjpaGfMyIph98OABH374IfPmzWPv3r1A0poEUMZcQFmn6PV6/vnnH7Zv306PHj1Yt26dMt6LfdGMIs7n6elJjx49qFChgia+JP5+4sQJAgMDszy/kOQMan85btw4vv76a5YsWcKhQ4eIjo62+jiWY/u4ceO4desWO3bsIDAwULMHnxnMZjNxcXHK64UvV3eOl/H2/IXlvqW6EKnBYODevXv8+OOPjB8/npEjRzJ37lxu377N06dPgSQbyMi4nh7CRl1dXRkxYkSWBLOCokWL8u6777Jjxw6KFSsm99LzOMIGf/nlF+Li4pR5WmJiIp6enrRs2TJTe+jiuOXLl6d///6MGDFC2ZMXcXZ144f9+/czbtw4xYdZ+k5h9y1btuTFF18EtPFLnU7H2bNnWbp0KWvWrCEiIiLZdQufKOz7zJkzzJkzh7lz5wIoxSwF7dq144033sjwe5dIJAUbOaJJJBKbYU1nEFsnOgoy03FWVN2VHWcLHupAwvfff09AQAC//fYbMTExGvFASt3cLH8GNM/X6/U8evSIR48eMWLECN59911atGiBj49PmtXI1BUeR44cCTwTNVieTy2cBTLccVZu8kkyQ0Y7zoaEhABY3XFWCmYlqaGuSjt58mTu37/P7t27NRXMxPMAzp49y4ABA1i2bBkvvfSScpzstJWgoCACAwMBrZCjbt26slJ/HsBSOAvWdZwNDQ3Fw8PDqo6zgKbjLJCljrOWxxcC2Hr16lGvXj0aNWrEqVOn2Lx5s7JxCWjOpfaT2VVtX5J3yErHWfEceDa3XLp0KZDy+qx06dJs3LhRCmYlaWJpFyaTifj4eOLi4vJ0p3XL65abfHmHtASzYoNPFEnx9PQkJCSESpUq2XyzNr2Os2ofGx8frylaYW3HWSlGLLio7XPMmDEcOHCAChUq4OTkRPv27a2uVm+ZwDNp0iQAPvjgAxYtWpSleZ9er8fV1RV7e3tiY2OVOTLA/fv3gWc2ajQapai7gGEpAtu3bx8//fQTn332mVVrFoH6Pu/fv19JEHdwcGDgwIFKR5LMYmdnp/hbSOoGFhUVpTxHFh3IPzx48ECTwCjWsqLafUb2XoT/FK85efIkN27c4NChQzx69IioqCgePXqEs7MzFSpUwNPTkzfffJNKlSpRuXLlZMdRj9kvvvgiU6ZMoXTp0ixfvlxTNFMUzxAFh3bt2sWuXbtYtWoV7u7uVKhQAZ1Ox507d3j48CFXrlxR7FaduGM2m+natSsDBw5Ufpc2mTcRvnLUqFEcOnRIEVFfv36dTZs2Ac8KrKTVcTYtoY0QZfn7+xMbG8vgwYMzvQ8p/LY6bmUymXj48CEAp06dYuDAgTLuXsBQ+6/UOs6qO2bnlY6zwv/evHkTg8FAyZIlc+1aJNmL5TzzxIkTAPTr14+goCDs7e2tWstb+s7x48cDsGvXLuzt7enbty/PP/98pq5R+HJxDWoBzcOHD3n69Clubm6y81cBo2HDhhw8eFARcAs/JISzQIodZ9Max4U96PV64uLisLOzo3Pnzpm6PvG9cHFxAbR5I4mJiUohLpnXUfBIaX3u6enJ6tWr8fX1pXjx4lbdz5QEYACrV6/Gzs6OESNGZLrjrFrQYElsbCyQVNhX+s38ibpomRpRmCc9hF3dvn2bgQMHcvnyZc2x1UX41bkdloIZUajK39+fs2fP0rlzZ5o1a5alrp8Gg4GmTZty8eJFNm3axOPHj5PZXHx8vGKfkryLiFNDUjEMOzs7Hj58yOzZszGbzbRq1SrdjrNpFbX6559/2LRpE3q9nr59+2Z6fW5nZ4ezszMxMTGaYth3794FUo5nyj2hvMvmzZtT3LcUWMYLf/vtN3799Ve+//57qlevTu/evXnhhRc0xaez634KG7X8Pyu4uroCKAUvJHmbxMREbty4oaxLxGN16tTBzc0ty3vpnp6etG3bluLFi7NgwQIuXbqkFL1Q598dOnSIiRMnsnjxYqWYuWWssm7dujRv3pz//vuPJ0+eANrvwqVLl7hy5Qq7d+/Gz8+PSpUqUa9ePcU3RkREEB4eTmhoKGfPnuXff/8FkuLu4l+XLl0YMWIEQKbnDxKJpGAiRzWJRGIT8kJnEEukcFYC2sn2rl278Pf3586dO5qNB7W4QNiNOkAoAnhi0m1ZHUy9GA4ICODXX3/l7bffpnfv3skWBmpsLZyVgllJVrCVcFZ2Ppakh9pvLliwgMePH/P9998rflTtn41GI7du3aJ///58+OGHvPrqqxQvXlwjvs0IlnYWEBDA4sWLlXOJAKiLiwtt27bl5ZdfzoZ3LMkq1ghnzWazpuNs7969CQ0Nxd3d3erAoa2Es5ZVmRs1akSjRo3o2rUrq1at4o8//uDSpUvK/MTBwUHZmF6+fDktWrTI9GcnybtkRjhrjWDWYDAkE8zKqqGS1NDr9RiNRo2fE50K4+Pj5ZpZkmHSE8yqk2Z0Oh1TpkzJEcGswJbCWdlhtuAi5pgAY8eO5cCBAwDcvHmTZcuWYTab6dChQ7oJX6kl8Dg6OnLp0iVGjx7N0qVLM1RIzRLx3bKs/Cw2rFMSzMq1ev4mpYRcg8HAL7/8wqhRo1i6dKlVa5bU7BOe+fPExESGDBlC8eLFM32toiODOl6akJCgdA9NK8YpfWjeQXzmN27cAJLWIkajEaPRSIUKFTJ0PGELUVFRHD9+nIMHDyrdawTq/ajr169jNpvZv38/RqORfv36Ub9+fRo1aqTxw2q7EB0aypQpQ0BAAFeuXFEEFomJiUrhTNGdJiwsjLCwMM6fP6+5DiHKUXd1MpvNtG3blo8//ljzfiR5lx07dnDo0CEAxQ/pdDpu3ryZrnDWGqGNvb090dHRrFixgrfffjvTfrN06dKacV3YXHh4OKdPn9YIZuV+UMHCGuGs6KyZF4Szwu+eOnWKESNG0KdPH3r27CmFswUAdVK1KBxkMBgwGAycPXuWvn37EhwcnK5wNq11kOj2bTAY6N69ezKBozWIY4vCb+q1kIixpyX8kvPM/EmXLl1wdnbmgw8+0BQVSEs4q56nWY7jlusOo9FIYGAgdevWzVR8VHwfXnzxRQ4ePAg8s6mEhAQSEhI0glm5Ji84qP3muHHjlPX5/fv32bdvH2azGT8/v3SFs6n5TScnJ6Kjo1m+fDl6vZ5hw4Zlau0hfLmHhwf37t3TFLW+desWjx49ws3NTa7P8zHe3t5A0r0Sse5///2XOnXqpOnXhK+8e/cuffv25fr165pGFep1t1pops6zgGfjsXru+s0333D9+nUePXrE22+/nWnhrNlsxtXVlf79+3Pp0iW+++47ZV0H0KxZM3r37k316tUz89FJchBx7ydMmMDevXsVGzIajTx69EjZW0pLOJteUSuAa9eusWbNGuBZ4ZfM4OrqirOzMw8ePFDOCxAWFgYg55n5jF9//RV4VihSXUwgpTxi9X7mlStXuHLlCgcOHKBp06Y0bNiQzp074+DgoCnikleRNpc/iI6OJiwsTJO/DuDl5QVkTxFxJycnGjVqhLu7O5988gnnz59X5pTq/Dgxl12wYEGyYi1iL93Pz4/bt2+zZcsW5fiWPu7mzZtMnz6dhIQEqlSpgr29vbK/EB8fz9OnT5Xni+8SPJtLtG3blpkzZ2quTSKRSAR5d9SVSCT5lpQSHdXV4zw8PNi4cSOVKlXK8cmJCKTAs43svn37Kl0Z1AEZS+Hs+fPnNa+V5E/Uk+yvvvqKadOmcevWLWVTRF39SQhREhMTKVq0KF5eXlSqVIkKFSpQrFgxACVJRiyE1RP9hIQE5ffff/+dJUuWMH/+fOV5qdmSOolm5MiRDBs2TFNxTxxfLZxduXIlly5dSvO9pyVMFAF5GXzJHSwrNooAbV7EUjhbu3ZtEhISlO4O6iCQEM5u375dWbBavlcp5JZYi9o3rl69moYNGyar4AdJCepPnz7lk08+YcmSJRw7dgxIvUpqaoj5CzxLslyyZAlz584FkncIeeedd+jdu3eGji+xLZbC2T59+igbXuqKnpYdZx88eKBJsE0LMR7Xr1+fwYMH07hxYwBlXqG+FiGcvX//vsae00J9DJPJRIUKFfjwww/57LPP6NGjB97e3hiNRiWZZ9myZYpgVtphwUQIZ8uXL6/ZfElJOHv06FHFhj7//PNUBbMJCQlSMCvJECLZVr0GcnV1xcXFJU9v7knyHtYKZkUilslkYv78+fz888856qcs40hTp07F0dExxRiSEM6uXr2a06dPA2RqHSTX5/kbEQsaNGgQ+/fvx2AwKOPv9evXWb58Obt27QJINdaYVgJPbGysUvhl4MCB/P3335m6TiGoEb5bXYn63r17AJw4cUKu1QsYaiGDSGKAZ7Z4+vRpRo0axb1799Jcs6Rln+L4GzZsYOnSpYSHh2f6Wt3c3DAajRpfC/DPP/8AKdunjHHmXR49egQkTyjLyJgu9pLu37/PtGnTmDNnjiKY1ev1ikhVxHPEP+Fro6KiWLVqlfJadZEhNcIvd+rUienTp9OnTx+lMr9anCZiCuK9WP4T472wTbPZTOfOnVm0aJHm/UjyNq+88grvvvsu8EzML0TWauHsli1bePjwoWbel5avVM/5RGe6L774IkuFBlxdXZPZJMDXX39N3759k+0HybE875HauGsymZIV7rVEbXtCONu6dWtAWzDDsuOsKMybU6jXQYMHD+bp06ds2rSJbdu2cfv27Ry9Fkn2I3zHJ598woEDBxRfKezu//7v/+jbt69SiCKl+HtavjMmJkax5dDQUDZt2qQUU8kI4vuk7ugp5guPHz8G4Mcff5RChgJImzZtmD9/vhITNxgMynxQCGdXrlzJxYsXgaT9mZQKX6htI6uCWTWenp5A0phguc8k5qNyHC8YiHs1bNgwpWOi8J0PHjxg//79rFq1ijt37qQYX4S0/WZ0dDRGoxG9Xs/SpUv5/PPPM3Wd4rwpxbBMJhNubm6cOXMmxRwkaav5g/Lly2vum8iVE4Wh0ir4ZzAYePDgAYMGDdIIZkVOnBjvnZ2dKVmyJCVLlsTNzQ0nJydlniuEj2I9L1578eJFVqxYwY4dO5TryOj+t1ibe3l58dFHH1GjRg3FlzZp0oQ+ffrw2muvKe9HkrcJCwsjJiYGJycnxbZErocQzh48eJDo6Ohkr01vjS4KlZtMJiIiIqhXr16WrlXkjYqfDQYDLi4u7N69WxZRzWeMGjWKsmXLKjk58GwNUbZsWby9vXFyclL8h3pPU9xXk8nEd999x+zZsxkyZAjz58/nxo0bydZD0gdJMos6FinI7g7qBoOBWrVqMW/ePGrUqKHsLYqiGCJeunv3bqZMmaK8Rt1sQozxH3/8MW3bttV8XwTqYpXwbC/ozz//5I8//uDhw4dKUWt1rpOYS3Tq1EmJu6vz9iUSiUQgs9kkEkm2klKHWXWyiqenJxs3bsyWDrOZFZZZJjz269dPCmcLAepAQkhICB9//LEmyUEEKdST9W7duvHhhx+yZ88edu/ezfbt29mzZw87d+4kODiYJUuW8Oqrr1KpUiVN8FBssKk3Rp48ecKXX37JxIkTgdQDi5D9wlnZyTPvov6Mv/32W2XzwhoxVW6hFs4GBQUlE86K95SWcFZ8X6RgVpIR1FU/169fT4sWLTQJQ8K+RBJGTEwMu3btYuLEiSxdupQbN24oiZMpBY0sHxNzlO3btzNnzhxWrVoFJFUqE3bcoUMHJeijFtpKch9L4ay6Uqx6jFZ3nO3Vq5fVwlm1WDEt4aywz8wIZwXCvzo7O/Pcc8/xySefMH/+fHx9fQHw9/eXfrKQYK1wdvHixZw9e5Yvv/ySZcuWAdqCRlIwK8kMqfkWUW1eIrGWtASzIo4knicwGo3cuXOH999/nzNnzuTo9VrGkaZMmZJp4awUzBYOIiMjlQrk6g42ZrM5XeFsWgk8InlNzDPv3r2b6c1vvV6Pp6enUnEakhLI79y5w+HDh3nvvfdkDKkAcvz4caUDsjpOI4Szo0ePTlU4m559JiQk4OjoCMDWrVs11fczioeHh5IYDtouYH/++ae0z3yC+Nw9PDw0jycmJhIdHc3169etOo7YSwoPD6dv377s27ePW7duAUkJOCJWo54/iMfUiTK3b98mMDCQoUOH8tdffyVb+6sTc2rXrs3IkSNZt24ddevWVYQMwh7FPgAkFwSrv0NVq1Zl1KhRzJo1C5CJO/mJkiVLMnDgQPr37w+gxMHTEs6q44Mp+Ur1z0ajkYCAAOrVq5elvUd3d3ccHR01Nglw9uxZZY9Wxt3zFpYJseL32NhYbt++zZ07d4Akm4Mkn5qSraQnnBU+J7eEs5brIDFnePToEevWrWP79u1K5yVJ/qZ06dKUKlVKKRwBKGKYtISz6c0zQRuXateunTLvzAji+1S2bFnNMU0mk9L5e8CAAVIwW0Bp27ZtusLZFStWcOHCBXQ6Xaqd4i0Fs2Icz2pBwTp16lCkSBFNrokl0hYLHs8//zygFTdYI5xNTwCmLuaj0+nw8fHJ1PWJNU3RokUBlLmwXq/n6dOn+Pv706dPH7k+z6eYTCYcHR1xd3fX5LrBs9jLgwcP0izcEh0dzcKFC/n77781gtmEhAQcHBxo3LgxkydPZuPGjRw4cIA9e/Zw4MABduzYwciRI2nVqhWAsiegzrMzm81cu3aNgIAAvvnmG+WcGUXEXkuVKsVnn31GqVKlqFu3Lv3791f29aVd5g9Kly7N8OHDad++PY6OjkrMPT3hrHofJ7V5pihUbmdnR0hICC+++GKmRIwmkwl7e3vKlCkDJPlMk8nEpUuXmDBhgiwAmM8oWrQotWrVAlDmjomJiVSoUIGxY8cyaNAgXnjhBU1cUt2FU8QIAc6cOUNQUBDdunXjk08+4ciRIxrBrcxJl2QEy5i3yNuFZ3uUkHqBtsxSpUoVFi1axEsvvaTMNy2Fs19//TWLFy9WrkkdRxf+et68eXTr1k3pdm8ymTTNqtR+W5xDfEfE+k28t1KlSjFkyBAl10DmPEkkktTQmWWJColEkk2klOio3kQQHWazSzArJje7du2iYcOGSvdPa1EHrrds2UJwcLDSnUGdGCEmXBUqVMDf358aNWpkS9BbknOklZArJtAicOfk5ETz5s1p27YtzZs3V46hFsSqiYmJ4fHjx6xfv55vvvmGa9euKccW3wFIWgSYzWZat27NrFmzcHZ2TvO61d+TpUuXsnLlymRBEWGfzs7ONGvWjKFDh1KlShXlmsW5U0rIldUdcxf1ZxwUFMTs2bNp3Lgxy5cvVwJ8eTl5SvjhuLg4+vXrx9mzZzViQnXiZaVKlejduzedOnXCxcVFea0Ucud98uJnrp4DTJ48mQMHDihBb3WncMvk81q1alG9enX69++Pu7u7kuiYEjdu3ODSpUts2LCBM2fOKBXL1eOG2WymXbt2LFy4EJAdQvIywo7j4uLYtWsXISEh/PXXX4B2zifmApUqVSI0NBQPD48MBdRMJhO//PILa9eu5fjx48oxLUUQjRo1YsGCBXh6embKbiznoQ8ePFASkPPid1ZiGy5evMioUaO4du2a4vMsN5Q9PT2JiIgAZIdZSfZw//59unfvTlhYmKZwhZubG0eOHMHZ2VmOhZJ0SU8wKxK61JvLloJ/b29vPvvssyxX+84o6jF48+bNzJ49W6lqaxlDsrOz45VXXsHX11dJSktrHSSTcAsOwk4iIiLo3bs3//33n6ZwhdjsLVeuHCNGjKBDhw7K64T9Q+oV79XJuUFBQdStWzfTNhIdHU337t2TdatN6XzSRgsWISEhLFy4kOjo6GTFfkwmEz4+Pnz22Wd4eXkpa5b0hAxqG3FwcGDdunX4+Phk2j7+/fdfunTpQnR0tCbZ197ePsWuNTKWlLfZs2cP48eP1xSvTExMZPny5bRo0SLN16oFs7179+bGjRsavypEimrxjTp+YxkfUsfp69Spg5+fHw0bNsTe3j7F8wsbioyM5Ny5c+zevZtjx44pay1xPvW51eurAQMG0LhxYxo0aKB5P5L8xZ07d1i3bh2BgYGAtqie2WymTJky9OjRg86dOysxR2vG8uwS2jx9+pR33nmH//77T/O4pbhC+srcR9xr8f8333xDeHg4hw8f5t69e0RGRhIREYG9vT3e3t5KN48XX3yR+vXr89xzz2n8leW9U//++++/s379evbv3w9oC/YKX+Xk5IS/vz/NmjWz+XtOaR2k9p/Dhg3D19cXBwcHm12LxHaobS8kJIQ1a9YQHh4OJAlVhZD25ZdfJjg4GHt7eyXJN611ECQJBdXroKz4zlWrVrFkyZJkcxPxuyxuVbDZt28fH3zwgTKHVK/XnZycaNmyJVWqVFH2/1KzxewUzMKzIuzvvPMO165dS2ZbMq+jYLNmzRpFXGC5F+3h4UHr1q3x8/OjePHimsJXkP76PLv85syZM9mwYUOy9ZWl35S2mj/56KOP2Lx5c7KiUAEBAbzyyivJni8goH5uAAEAAElEQVRs6fjx43z66aeK3xJ25+zszEcffYSPj49SqAKeicPt7OyU381mM/v27WP58uXcunWLmJgYZW9dvd/ZpEkTxo4dywsvvJDp9yjW4nfu3OHKlSvKGl3aZf5AfZ8uXLjAhg0b2LNnj8ZmxP6Rm5sbkydPplWrVjg5OSnHsKaoVXaN7XPmzCEwMDBZ4Wt1HFb6y/zDzz//TL9+/QDtuvq9995j/PjxPH78GH9/f86ePavJQ4Ikf6ped6iLB7Vs2ZKXXnqJvn374uDgoMn5kEiswdfXl++//14zhpcqVYqtW7dqiuZmJ1evXuX999/n/Pnzyt6ROle4SJEiDB8+XClCqLZpMR4nJiby1Vdf8c0333DixAnl2MKnq2P46sfUQuC33nqLFi1a0K5dO82xJRKJJCWkaFYikWQLKSU6QtLC0laCWT8/P44ePYqvry/9+vXL8ERPCmcLPukJZtVVtosUKcLo0aNp2rQp5cqVA5ILU1I7NjxbJB87doy1a9dqziFQT+bffPNN5s2bh7Ozc5rnyIpwVrxWCmbzHikJZgXNmjVjyZIl+V44q64AKYSzvXr1omPHjhQpUoRTp04xcOBAufmcD8iLdqi+plWrVnHgwAEuXLgAJPe9lkFHd3d3SpcuzauvvoqnpyelS5fGycmJhw8fcu3aNe7evat0fn769Kmm2pkQcpjNZrp378706dMBWaksP5CecFZsvmVWOKtOMM8J4WxK55Z+svCRnnBWoLZBKZgtvPz00094enoqBXYyw4MHD+jatSs3btwAkqp6e3t7c/jwYRwcHKQfkqRJeoJZSIojqder+V04O2TIEOrXrw8g10GFBDG2RkRE0KtXL65du2aVcFbMC3MigUdUax41ahTffPNNinNW9TxZ2mjBQG0vISEhzJs3j7i4uHSFs3FxcYpAx5qE3OxIMIuPj6dz585cvnw5xY636gQlGePM+5w/f54+ffooHYnFeN61a1dmzJiR6rpY2NDDhw/p378/Fy9eTNa9RuDm5qYk3zo4OBAeHq75u7BFkUgp4vQ1a9ZkxIgRNGrUKNV1kaUtX7x4katXr/Ltt99y9epVHj58yL179zAajZQtWxY3NzdatWrFiy++yIsvvpjqcST5C2uFs4MHD+bIkSOMGDECsH0yrslkIi4ujr59+3Lu3DmNf1T7QDmW5x3Cw8PZvn07v/zyiyYxEJLWRurONAJPT0/KlCmDr68v5cuXp2rVqikePy3hbEpF1WwpnE1LMGs5x1yxYoWmmLEk/6H2Zxs2bGDt2rVWCWdFDCCn5pkAhw8fZtSoURqfmZIIXc4zCy5pCWft7e2Ji4sDbD+OC8RxZs+eTVBQkCZWJtfkhYPVq1fj7+8PpC+cFfaSkwKwzz//nGXLlmmEX+ouYMIWpa3mL8R9CQ4OZtasWcnW282bN2fmzJmpFiOfPHky27dvB5LszsXFhXXr1lG7du1k50nt93PnzrFhwwa+/fZbIiMjkwlnjUYjQ4cOZfjw4VmyZcvXSrvMv1y4cIGQkBB2796dqnB20qRJtGrVCmdn5xybZ4rXBgQEMHfuXE1uqhrpL/MPZvOzbp7Tpk1j586dSsdLMU7PmjWLzp07A/DXX39x8uRJ1qxZQ2xsLDExMSnuC0HyPLYqVarQrFkzWrVqxUsvvaQ8LmOJktQQvmLs2LHs379f2afW6/U4Ozvj7+9P48aNbZbzeenSJSZOnJhMOCv83fPPP8+YMWNSLJiptuvw8HB27drFtm3bCA8P13QKTwmR59m/f3+aNGmCm5tbsmNKJBJJSkjRrEQiyTKpde4UiztPT09CQkKoVKlStgpmR44cyeHDh5W/SeGsxBJrBLMiGOLm5sbcuXNp1KiRkgRmbSBCbQcJCQkcOnSISZMmKZsp6mOohbNvvfUW/v7+ymI6te9GRoWzTZs2xdfXl2rVqvHjjz8yYMAAmZCbR7G0SyE2LcjCWV9fXzw8PPDz85Nda/IwAQEBnDt3jkWLFgF5Xzh75MgR9uzZw4EDBwBt1T61kMwy8ChQJ0aoHxNzAJHIAc+SMLt27cr48eOTXYckb5OecFbc7+wSzq5Zs0ZJfLO1cFZSeElNOJvS2CnGWbVgVtpe4eDLL79k/vz5dOvWjXfffZfnnnsuU8e5f/8+nTp1UhIedToder2esmXLcvDgwey8ZEkBJCPrcw8PDyZPnsyhQ4c4cuQIkL+Fsw0aNGDy5Mk8ffqU7t27y3VQISEjwtlhw4bRsWNHIKkbI+RMcq5IelQXYVFvGUkbLXhkVDjr7+9PsWLFgJztyADQp08fTp8+ncw+pQgs//H48WPat29PeHi4Jqm6Vq1abN68Oc3XRkdHM2PGDL7++utkCbwODg7Url2b5s2b06BBA0qUKIFOp8PBwYE///yTq1evEhoayp07d4iIiEix8r3Z/Kzj7JQpU6hZs2aatpva3+Li4njy5Al6vR53d/csf16SvEt6wtny5ctTs2ZN9u7dC9he9KUmODiY2bNnJ0vEFNcpfWXuc/36dU6fPs2iRYs03apFl03L+DQkrbvF3DIhIQFHR0ccHBzYtGkTlSpVSvFc1ghn1T/bQjibmmA2pX1KazqPS/IHGRHO1qpVi+DgYBwcHNi9ezcffPABkDPzzGvXrtG1a1cePXqkeVw9T5GC2YJPasJZ9d6iZSEpW43jgoMHDzJ69GggKa9E2mLhIT3h7FtvvYWfnx8lSpRg7969jBs3DsgZv3nmzBkGDhxIYmJiinvtMn6Uv4mMjKRbt25cuXJFMxaWLl2a+fPn4+Pjk2w/8eeff2bw4MHExsZq5pQrV67klVdescru1LZx5coVtm7dytatW3n06JFG/JOYmIi9vT0hISHUrFnTdh+EJF9hTcfZuXPn8ujRIyZNmgTkXPf4//77j27duhEZGanJERHIsT3/8dVXX/Hxxx+j0+k06/Tq1aszc+ZMTdG8P//8k99++43Q0FAuX76sPG45tlv6OfGcLl268PLLL9OpUyfltTKnQ5Ia+/fvZ9KkSSQmJmrsq2XLlixdutSm5z537hxTpkzh0qVLyQpeALRp04YxY8ZQvnz5ZK+19HfXrl3jzp07HDhwgFu3bhEREUFkZCR6vR4XFxcqVqxI8eLFadu2LZ6enhQvXjzVY0kkEklKSNGsRCLJEukJZm3VYXbEiBEcOXIEg8GAwWBQxIm+vr706dNHSeSxFimcLXik18FGHbR1d3dn7dq12RpcO3PmDLNnz+bixYskJCRoBAzqSvbt27dnwYIFQNoL3IwKZ1u1aoWPjw/Tpk1LtrEngy95gy1btvDhhx8C2sCcuI8FVThbqlQpbt++Le0yD6PuftytWzc+/fRTIG8G4dRj8P3799m1axfLli0jNjZWsUvLKuEi6Gj5mPpvlh0axffzlVdeoXXr1nTv3h3Im5+JJG0KcsdZSeElJeGsZYIsoHS+CQ0NlYLZQoR6LeTm5kbbtm3p3bs3lStXzvCxHj16RJcuXbh+/bomcaJEiRIcPnwYo9Eo18aSFElPMCt+FnGkzZs3U65cOU6dOsX69ev54YcfgJQ7Z+cH4ay9vT0vvPACf/zxh1wHFTIyIpydOnUqiYmJDBs2DLB9Ao+wse3btzN58uRkc1WBTHgsmGREOFuvXj1CQkL4/vvv8fX1BXKma6Jer2f58uUsX75cU2BBLeyWPjR/IHzL+PHj2bdvXzJBwvz582nfvn2Kr9Pr9Zw4cYLp06dz7do1TUzf2dmZ6dOnU6dOHcqWLau8zvL+h4eHc+bMGb744gul8r24JrUo4rXXXmPNmjXpFrhUk9bz5L5RweXOnTt8+eWXBAQEAEnCWUAzlqY017Wl0Obo0aP4+fkBaOLx0lfmDb7//nu+/vprTpw4wZMnT5S9SvX6Qb2OUP8sUPus1q1bM2PGDFxdXVM9pzXCWVt1nM2IYFbaZcEjI8LZevXq0a1bNyZOnAjkTLEBk8nEgwcPGDhwIBcvXkxWVFUKvwoXe/bsYeLEiRrhrGUhKeEnjUYjAQEB+Pj42GyuFxcXx/jx4zl06BAg1zyFkfSEs++88w5ly5Zl+vTpQM4JwK5du0anTp14+vSpZm8ApN/M7wgbWbJkCV988QWAJnbp4+PDhg0bNM8F2LZtGx9++KEyPzUajYwcOZIhQ4YAZOq+37hxg3Xr1rFz506ioqKSdWRs1KgRCxcuxMPDIzveuqQAkJJwVozpYo0juhbmVPd4gIiICHr37s1///2XzJfLsT1/ob4vgwYN4sSJE5px0MnJiQ8++IBevXoRFxenNOoBePr0KUFBQfz222/KPickH99T6z7bqFEjGjVqRNu2bSlRokSK1ySR/N///R89evTQ5EICODo6MnPmTNq0aWOzc5tMJk6dOsXMmTO5cuVKikLw999/nyFDhqRqt6k9HhUVpcl5cnFxsdn7kEgkhQO5WyeRSDJNSkJEEQgRiY6hoaE2FcwCxMfHY2dnBzwLIAphQkZQC2S6du1K3759qVq1KoBm8iUmdf/99x9jx47l/PnzycQ1ktwnPcGs+FnYaXBwMDVr1tRsgGT1/PXq1WPGjBk0aNAAR0dHxY5EYFGv16PT6di9e7ciTkstQVH8TSwmRo0axdChQ5N1/xD2GRUVxf79+5MJZnU6nQy+5BHi4uK4ePGiEswV9weS7uPRo0cZM2aMJrCXVxHfLXt7e4KCgqhdu7aS8KEW7uh0Om7duqUZK0Bu+OUl1IJZOzs7Nm/ezLRp04CUu7HmNuqAj6enJ++++y6ff/453bt3V0SO6oIF6u+ZOplNPEf8LioDms1mZdwYOHAg77//viKYFVUqJfkLMXba29vToUMHevfuTfXq1QHtRp/YTLly5Qq9evXiwYMHmnlEesfX6/XUr1+fwYMH07hxY+WYapvV6XScOHGCDz74gPv37+fJ75gkf/DCCy+wdOlSypcvr5lrCt+mTpQdOXKkIpiVCdwFn+DgYGUtZG9vz6NHj9i5cychISH8+++/GT6eXq/HaDQmG/9EdXlZl0+SEumtz1OKI5UrVw6ABg0aMHjwYJo0aQJox1IxVkdERDB69GjOnDmTo+9LHQvq1q0bU6ZM0az9xXsXhd6EYFaugwoXws69vb0JDQ2lfPnyJCQkKJ0OxXh9/fp1pk6dqhHMCtuwVcKjsLHmzZtToUKFZPNQS3uVNlqwUPuw3r17M3HiROzt7ZMJCfV6PWfOnKFNmzYawawQ2dgqwUy8vlatWgCaQnPif+lD8w8iPvjaa68BSfdTrFN+/fXXVF8Hz4QM165dA5J8oouLC+vWraN9+/aKYFZtv2pKlChBmzZtCAkJ4bXXXtP4O2HnOp2OY8eOKYnn1sZ70nqeXG8VXIoXL87AgQN59913ATTCRxED1+l0yea6tu5M16xZM15//XUg6fsgfWXeYMeOHUybNo0jR47w5MkTJQYo/I9lYqP4WR3PFuh0OooXL86bb76ZpmBWPFes02vVqsWAAQNo3bo1kLTvLuLfRqOR6Ohoxo4dy9GjR7P0flMTzMbHx8s5ZiFBPdfs06cPgwcPVpK81fsyRqORM2fOaASzloWvbeE79Xo9Xl5eis8UwiCBtNHcwbKAQE5gMplo164dq1evVhK7U7rPwk9u3boVHx8fZey3Bfb29rzyyitKV3Fpi4UPX19fxo4dC6DEkODZuP7gwQM2bdqkEcxajq+28Jtms5ny5csrhTUs577Sb+ZvhI00b95cEWwJuzMYDJw+fZpZs2Ypz42Pj8dkMrF//35NvoSnpycNGjRQ7CIzlC1blp49e9KgQQMllgAo6/grV65w584dAJmnKQGgWrVq9OnTh3bt2mkaUoj/Y2JiAG2+qK0FswDe3t5069YN0MbB5Bo9/6Humvnaa69hZ2en8ZHR0dGsXbuWiIgI7O3tlblsYmIiLi4u+Pr6snLlSj755BOaNGmCg4ODZk9dbXfqPEuRS7RgwQI6d+7M8uXLlZx4YSsyt0gC8PLLL9OxY0cgKd5uMpmIiorihx9+4MmTJ8rfshu9Xk+9evXw9fWlVKlSmk6zQuuxePFiTp06laqPS6kRAICTkxOurq64uLjg7Oxss/cgkUgKD3LHTiKRZIqUOoOok1U8PT3ZuHEjlSpVylbB7MiRIzWCWbGpKBYnr776Kp06dcrUeaRwtmCQXgcbtZ2KTshVqlRJsRtXZhHHqVGjBhMnTqRZs2a4uLhozqHeEN+0aZNSlTytIExGhLOxsbHKz5YVeUEGX3Ibe3t7Ro8eTbdu3ShevDiQsp/Jr8LZ4ODgFIWzkPT9sEywBGmXuc369es1gllxj7Zu3ZqnhbMCYWOvvPIKEydO5KuvvqJTp07UqFEDeOZ3RWBGiGJFx3pRKVokr5vNZhITE/H29qZZs2asXr2aCRMmKAm7lolMkvxFesJZ8fesCGcBKZyV5CipCWfVY2liYiJBQUF89913iu+TgeWCy+rVq5VEBrEOMBgMPH36NNPCWZPJRFxcnKbjgk6nw93dHWdnZyWhQtqVRGBNQSv1+jw0NFSJI4n5lo+Pj9XC2dOnT+fo+7NGOKv+WYgn5DqocGGtcDYiIkJ5vq0FswKz2YyDgwNVqlQBksRfMoGncGCtcFan03HlyhUgySZzSgRWp04d6tSpo0mUVF8HSPvMabKyB/LKK69Qo0YNZZ0i7unGjRs13RbU/Pzzz+zbtw9Iuu9OTk4sX76cOnXqaK4nLdtLTEzEycmJNWvW0KFDB02CtzpOv3//fg4fPpzp9ygpPBQvXpwBAwbQv39/AE3hPkjyRwaDQfGVAQEBNhPMiu9CkyZNcHV1xWAwSF+ZRwgJCWHSpEncvXtX2S8X4gJRzBGgZMmSlC5dmnLlylGmTBmMRmOyvWfxmkaNGlndKSQ94ayID4m1VVaFs2kJZkEKuQsT1ghnRRxczPVyap4pvhN16tTBxcVF2TMCaaO5yfXr1wFyLGattqmnT59qfLI67in+r1evHl5eXoD1BVYyS48ePWjUqBGxsbEALF++XNpiISMt4WxUVBSg7UZnawGYsLmXXnoJ0MZn5Zyz4FCrVi1Gjx4NaEV+AN9++y1btmwBntmbyWTi4cOHQNJ4/tprr1G7du0sX0fVqlXp16+fRvgIz+YLYWFhhISEKL9LJJAknG3btq0inBVrHGHDKflLW67RAV588UU8PDyUGJicZ+ZfhH20bt0ab29vJRdS5J/dunWLL774gtjYWE3XWPFag8FAjx49mDNnDuvWreN///sfpUuX1hQ/F+cQgkcRtzQYDERERLBq1Sp8fX2ZNm0aO3fu1MwPJBKR7yZi3MI2duzYocTWbeVnHB0dadKkCZ07d8bNzU2z3heajxUrVnDjxg2rjqdeg6X1mEQikWQUuXqQSCQZxprOnbboMDty5EgOHz6sHE9dsSwxMZGmTZvy5ZdfKq/LDJkRzn7wwQf88ccfMiCTB8hoh9mNGzcqdmqr+1e1alVGjRpFkyZNcHJy0iSeiZ/j4uLYtWsXJ0+eTPd41gpnLZMzZLA6b2EymShSpAjvvfceb7/9doETztrZ2aUonLXc5JR2mXf48ccfWbBgAZAkmBUI4ezUqVOBvCuctUygLV++PNOnT2fVqlV8+OGHvPPOO7i7uytJwCaTiYSEBCVYnpCQoLzvevXq0bZtW1asWMGMGTNo2rSp5lzSPvM/1nSctRTO9uzZ02rhLCT5cSmcleQUKQlnxYaKWOdcuHABf39/JSldCmcLLiKBRT1miTX006dP2bFjR4aFsylVCNfpdMTExPDXX39pOnWpsezmJSkcZEUwqxb263S6VIWz6rE6IiKCMWPG5MmOswJh/3IdVPiwFM6WK1dO090LknysrTt4qtHpdDg6OtK1a1dAFrcqjKQnnAVtnNGyIKGtuyYWKVKE6tWrKwnsMsaZu4h7fOvWLQ4dOqTcB2spVaoUL774YrIOcwDr1q3j8uXLyV4TFhZGXFwcer1e8ZvDhg2jYcOGgPVJsmKdrdPpmDdvHi1btlTej/gemM1mHj16xIkTJwA5b5WkT4kSJZg0aRJNmzZVxnH1HFbMVQ0GA59//rnSmc4Wvkp8F9q0aaN0kJe+Mvf58ssvmTFjBoBSsFE9ppUtW5YxY8bw+eefs3HjRr7++mu2bdvGpk2bCAwMZPHixTRt2pQXXngBs9lMfHw8L7zwglLg0tpCBmkJZ9X7+FntOJuaYFbOMQsvlsLZQYMGaYSz6r1s8XNOrYMAmjZtSo0aNaSN5gHWrVtHy5YtOXDgAGD7mLVamLBv3z5FJCYE1OoxXTz/3LlzzJgxgwsXLtjUHkTMa+HChdSoUYNFixbRokUL5TqkLRYefH19GTNmDJDUeQ7QrM/B9gXX1Ofs1KkTderUAZLWc9Jv5i7Z7SsbN25MgwYNkh375s2b7NixQ1kvx8TEEBkZqRR6AahUqRKQPR1gGzZsyLhx4wBt/qder+fy5ctKUQGJRFCtWjX69u1L165dsbOz09iv2h8JfxkcHIyPj49N80VfeeUVmjdvjtlsVgpqgfSX+RWTyUSJEiV47733lOIBkDQenzlzhnv37inPVSPs0dPTEx8fH5YuXcr8+fNp164dRYsWVY4j4qTqnGJ1Q6nExEQld69bt25s2rSJCxcuaM4l84wKJ/369aNOnTrK/VfH3WfMmMGpU6dsen5PT0/efvtt6tevj8FgSNYp/p9//lH276WNSiSS3EJnlrt+EokkAwQFBSld6CyFiAkJCSkmOmYWtWB2xIgRyTrMWgpmV69enex1mUUdRNyyZQvBwcH8/fffABrhl52dHXFxcZQqVYpdu3bh6uoqF7O5RHodZtXVjC0FszlReemff/5hwYIFnDx5Uun8CtqFbrdu3Zg4cSIuLi7pHk993UuXLmXlypWaz0A9vMtNvryJ8DORkZGsWbOGnTt3cufOHUDrZ4SNNGvWjCVLliiV8fJyxTDhh+Pj4+nbty9nz57FaDQqQkWQdpnXuHXrFitWrOC7774jIiIixXtgNpvp3Lmz0rUur9thSrZ0+/ZtIiMjOXPmDA8fPiQiIoKYmBgcHR1xd3enWrVqFClShHr16iXrZCMpmAg7EQUsQkJC+OuvvwCtLxYVm5977jlCQkLw8PCw6jsgjm8ymfjll19Yu3Ytx48fV45pmYzeqFEjFixYgKenZ57/jknyLhcvXmTUqFFcu3ZN08FO3YH2+eefZ/z48YoATY6/BZOff/6Zfv36AUlrdiGiTkxMxNnZmY4dO9K7d28qV66c7vGioqLo3r07V65cUTY01F1xnJyc8PT0pF69enh6evLiiy9StmxZjEYjxYoVS/GY6gq6tqrmLMldLONIKa3P04ojqUUHp0+fZu3atYrwXy2AEWO1t7c3n332GfXq1cvR96m2382bNzN79mxiYmIUH2yZAAxyHVQYEWvlu3fv0rdvX65evar8LSWRtdFoZMOGDdSuXdumPvLJkyd8/PHH7Nu3T9OpRNpo7mI5f7Ml6nOEhIQwf/78VBMQ1VX0169fT/369W1yjeL937lzhyFDhnDhwgXpQ3MRtWC2ffv2PHnyhAULFvDWW29hZ2dn9etv377N4MGDuXTpkiaOXaRIEYYMGULv3r1xdnZWCp2NHj2a7777TpnLenl5sWzZMurWrZup96Gea/Tt25dffvlFWZuLObJeryckJERJBpdILFHH7fft28f777+f5vO9vb0ZPnw4LVu2VDrU2QJhx//++y/dunXj6dOnLF++XAptcolNmzbxySefACiFUoRIsGbNmrz55pt06tQp1bWyICYmhtjYWIKDg/n9999p3bo1HTt21Ai+rEVtA7///jvr169n//79gLZQpvC5Tk5O+Pv706xZs3SPnVaHWVn0QqKeK+7YsYM5c+bw+PFj5e/qdT88s8Ft27bxwgsv2GwuLOYEp0+f5v3331f2Z0HaaE6jzuuAZ3kPLVu2BGzz+auPqR7H1WuNlIoGmkwmnJycaNq0KX5+flSrVi1br0uNsM/Y2FgcHBySdb6VFA6ErYaEhDBjxgyNn1TbgogfbdmyherVq9t0bzE+Pp5Vq1axevVqjEYjMTExgPSbuU125EiqCQkJYc6cOUpRSDGPBXjrrbcYNmwYxYsXp0uXLty4cUOJzS9btozXX389y+cXNvT3338zcuRIpRO5ei8pNDQ0W7raSgoGar/3xRdfsHDhwmTPURfEUBclsPU13bx5kwkTJihiMblGz//8+uuv+Pn58fjxYwwGg8ZHDhw4kAkTJqT5esv7fvz4cX799VfWr19PfHy84tPV+/DCdsW6XazZHR0dcXBwoF+/ftSsWVPJ+0jpPJKCi/A327dvZ8GCBdy/f1/T8TghIQEfHx+mTZtm0zUMwB9//IGvry/37t1T7FispV5++WU2btwoc0EkEkmuIb2PRCKxmoCAgGSCWTHBSkhIwM3NjYMHD1KpUiUSEhLyrWAWrOs4azQaiYuLA2DSpEkUKVJELjZyifQEs0CuCmYBnn/+ecaOHUuVKlUAUuyYvHnzZiX5Nz3S6zgrPg+ZTJZ3EX5GJIUVpo6z0i7zFmazmVKlSjFixAhatGiBu7t7ilVJdTod27Zty/MdZwWWRQTMZjMlS5akSpUq9OjRAz8/P6ZNm8bMmTOZNm2a8v4bNGigVEWV9YVsi+Xnmxv2lF7HWWFHIvh8+fJlBg4cyMOHD636Dojjy46zkpwktY6zamHiP//8w8KFC2XH2QLO//73PwIDAwHtWlmsQaKiojLUcVbdmV2dyAhw9+5drly5wpkzZ1izZg1z586lX79+tGvXju7duzN06FAmTJhAQEAA3377Lb/99htPnz4lNjZW8YXqavni+NlRlVySe6QkmIW0O8xakl7HWXV8SHScHT16dJ7rOCu71kgApaJ8sWLFGDBgAIDSoVv4PvFPp9MxZMgQJQHMluO0q6srTZo0wcPDQwpm8xCi66bav9gKvV6v+KfevXvTtm1bIHmXebVPXrp0KfXr11e6gGY34rxFixbl9ddfx93dXfrQXEKIVcLCwujRowdPnjwB4KOPPmLfvn1WdZwVNuLm5kazZs2ws7PTzAEjIyPZuHEj//d//6c8Zm9vz4MHD4CkeMEbb7yRacEsoCkM8MknnyhzEPE+RdG/w4cPa84rkQiEz7EUzKa0LymeFxERwdq1a9m2bZti07YY18V4UblyZebNm8fq1atlMm4usWvXLmbOnAkkF8y2bNmSWbNm0b9/f4oVK5bmGG82m3F0dMTNzY0RI0bw6aef0qpVK6UYVkZJr+Os6LCY0Y6z6XWYlYLZvMelS5d4+PBhjp1P2BU8W3s8evRIE/uxpGLFirzwwguA7cZiEUt47rnnaNWqlfL48uXLpY3mIMHBwUpeh5OTE/As7+HQoUNA9ses0xLMqjsOq/cVhR/X6/VER0fz/fffs2rVKi5evJht12WJsE8HBwcg+bpMkvOIvLCc2kNRzw88PDxSfI46L+j111+3uQgCnn1XevfuTZUqVaRgNpdZtWoVw4cPB7QNT7KCsCkRF1J3hRd+6cCBAwQEBChFe8Xr1HlvWUXYUNWqValRo4ZyHcInGwwGTfENSeFGCAnh2dguBLPiMbVYVvzbtGkT27dvJyoqymbXJc5fokQJunbtStmyZVmyZIlcoxcA6tatS9euXQGUIsHifn/33XdKgf7UUOcfwbMO36NGjSI4OBhfX18qVKig7MOr/aw650PkGcXHx/Po0SOWLVvGmDFjGDFiBIcOHeLOnTsa+5J77QUbYX8NGzZUur6LOKWwsz///JONGzdy8+ZNm12H2WzmpZdeYvr06QBKnrAYv//880/27dunPFcikUhyGimalUgkVnH9+nV27doFpB6cjouLUxaUWVnYqZN5R44cqRHMqgMtthLMCtISzup0Os0Gn9hMkRO6nCctway6E3J8fDyenp65IpgVVKtWjalTp+Li4qIRlovNaID58+dblbAO6QtnZUJu3qcwCmft7e2lXeYxhN8oUaIEQ4cO5a233iowwllImpOkZF8iiAkpBwqlTdoO9Xf+jz/+AJJ3Xs0pMiqc/euvvxg2bJhSPTK9a86ocPbHH39k5MiRinBWIskMUjgrETRo0EAjnFVXvRXC2Z07d1olnDWbzUqCkPhdrLmEjRkMBgwGg/Lz06dPCQsL47vvvmPXrl3MnTuXYcOG0b9/fzp16sQ777zDhAkTWLZsGTt27ODy5cuEhYUp50gpEVj4XXXShiTvcfPmTXbs2KH8Lu6XWJ9bI5gVpCecFXaSl4Wzcn0uEffazs6O3bt38/HHHyuPCyzXLvv27VO+R7aaK4vzv/3227z99tuAtNG8QEBAAG3btmXr1q2A7YWzQtwCzxIgv/7662TPUc8VzWYzwcHB3LlzB3t7e5vGBRwdHenatSsVK1YEpH3mNGrBbM+ePQkPD8fOzk4RU82cOZO9e/daJZyFZ2KIjh074uHhoYz/IrksLCyMTz/9VJkL3rt3T+n6pha2QNYENCIOX6ZMGdq2bYu9vb1yHeK4P/74o+a8EgmkLbQRnRPEWgiSCmPodDrCwsLYtGkTW7du5eHDhzZbf4t58RtvvEHTpk2TXbfE9vz666+sXbtWkxwo1kJvv/02CxcupGrVqooQKi3xq2VRyJIlS+Ls7Jyl60tLOKvet7RWOJuWYBaQgtk8yBdffEGvXr04cOBAjghOxL02Go3s2bOHESNGAEljrHp+KR7/559/6NatG7GxsRp7sgWenp507tyZ+vXry85fOUxQUBCzZs0CUPyNWJPYQjib1jgeHx+viVkZjUaGDx+u/C7mimrh7MqVK20qnJXkHb7++mvWrVvHo0ePcmQPRdiaZZGW1OYMZrOZX3/9lenTpxMeHq7Yqy0wmUx4enri7++Pm5sbixcvlmN7LrBhwwaWLFnCN998w6RJk4DsEc4KIRY8K5LVsGHDZIJVePad+Prrr/H09NTsB0VGRgLZI84S1/Hqq68CKOcwmUzEx8fz999/Z/kckvxPWmO7OscDktZWRqORhw8fMmfOHA4dOkR0dLRNr9FoNNKiRQvWr1/PW2+9ley6JfkL4d9ef/11SpcurYzN4vGrV69y7tw5IP0ccnXMUYgNhw4dysGDB+nUqZPi9yzjAuJnEccUx4mJieHIkSN8+OGH9O3bl6+//prff/8dINl1SgoeoonIuHHjFF2DsA2xhjl48CB79+5VCvplN8JWmzRpQs+ePYGk8TwxMZGEhAR+/fVXzXMlEokkJ5GiWYlEYhXlypXDz8+Phg0baibd6u4y0dHRtGnThr/++ivTIhpLwezhw4c1wkJ1IqQtBbOClISzNWrUUN6brDaau2REMCsScnNLMCuut169esydOxdI2oBWV4F69OiRkpRjzXcoNeGs3IjOPSwDH+kFp9XCWV9fXzp27EiJEiWAtIWz0dHReV6waCmc9fHxUaqOSv+ZtyjowtnUsExkk+QMluN3r169lDldTnRRSomMCGcNBgO//vorkydP5unTp1Zds7XCWdGF78yZM1y5csWG71hSGJDCWYnAUjir7nQjhK3WCGeNRiPOzs7KJp1a3CU26Ewmk1KUQsyD9Xq9kugj1u0JCQncuHGDy5cvs2vXLj7//HMmTZpEp06daNu2LT169GDEiBEsWrSI/fv38/3333P79m0iIyOTJaFD0kafuiCGJHcpU6YMo0ePpmHDhorYz8HBIcOCWUF+Fc5OnToVV1dXRXAu1+eFE8sEng8++ABA08FGPA+S7P2///5jxYoVSiFDW8yVxRwBYOLEiezYsUPaaC4TGBioxA4//vhjtm/fDthurWRpn2PGjAFQEtYtK9qLazl16hRjx47l3r17No0LmM1mSpcuzYwZM1i/fr20zxwkNcFsQkICCQkJODo6EhkZyaRJk7h69apVxzSbzVSuXJkZM2ag1+sVUZno8nrlyhWGDx9OZGQkHh4eSvKimHuKdXp2xHAcHR1p0aKF0n1WvS6/du0aFy5cyPI5JAUHa4U2QjwLSXNUS+Hsli1bbCqcBW3ymfSVOcfdu3fZs2cP//33H5A0dpvNZtq3b8+8efOwt7fP8H3P7nuYnnBWvW5PSzgrBbP5j6CgIBYuXEhkZCRffvklBw8etKlw1tJ3jh8/HtAWG1DHltRdaH7//Xf69etHXFxctnXQS41q1aqxYsUKKZjNQUTStBqdTqfsKUP2CmfTG8fVPxuNRgIDAxkxYgRz5sxR5opSOFs4CQoKYsqUKXz11Vds377d5sLZ9Iq0qFH7z3v37nHw4EFWrVpFeHi4TQu0JCYmUrFiRQ4fPkybNm2UfQHpN3OG7du3M3PmTOCZXezYsUOJM2bHeCl8nYuLC8OGDaNatWqavR8xT9y0aRPnzp0jMTFR2RMS+9rZsV4X+wXPP/88kFzopS7uKimcWLNGV+c1izFc7B89fvyYOXPmcPDgQZsKZ81mM66urpQrVy7ZdUvyH8K/vfzyy1SuXFlZEwPK3vuKFSu4fv16hu6zyBs2Go3cvn2bU6dOacZ94XuFP1bvqarjUDqdjidPnvDff//x0UcfMXToUGbPns3PP/9MbGysxj/LvfTcR+TPZgdi7le3bl2mTZumiXcLm3n48CHBwcF8++23Nu20bW9vzyuvvKLJKRG2d+TIEa5du2azc0skEklayMxwiUSSLmKS3LJlS3r37s3//vc/AE1iowhgR0VF0bt3by5cuJDhZJn0BLM51WHWEkvhbNeuXalUqRJLly6Vmye5jPjMAwICkglmxaQ7Pj4eLy8vtmzZkquCWfX1tmjRgiFDhgDJhbFRUVFs27ZNU/EnPSyFs8OHD1c2eKQwMWdRf8ZHjx5VNtfS84XCz7i6uiodZ9MTzo4dOzbfCWe//PJLatSowcKFC6X/zIMUVuGsJGdRf+eDgoKYM2cOcXFxbNy4kbVr1wJ5Rzjbp08fqlWrBmh9sbi2kydPsnTpUmJiYpRgozXHT004a9mJu169erZ6q5JChBTOSgQpCWcBjXB2x44daQpn1eJXgWVyo/hZnfhoMpmURGGRtCGSLNTdmMS8OSYmht9//50jR46wdu1axo4di6+vLz169OCdd97hvffeY86cOaxatYqffvqJS5cuKZs76oIYktxD+JCmTZsyYMAA6tati4ODA7GxsXh5eWVYMCuwRjgrCr3lFeFs165def/999Hr9TJRvJCSVgKP8Inq74FIrhD2fP36dZYvX25T4axIGAKU+a+00dxBXRTQwcGBxMREJk+erHQczu5iT9bYp5gzWBbL0Ov1nDlzhlGjRnH//n2bxQXEHLZKlSo0bNgw2XVLbENagll4ZhcisWfEiBFUqVLFquMK+2nQoAHvvvuu4n/UyWF//fUXw4YNIyoqiqpVqwLP5q9ms1lZM2fH/TebzVSrVo327dtrYq8JCQk8efKEy5cvZ/kckoJBer5Sp9NphDZLly5l2LBhAEqCmlgf3bx5M8eEs5KcQ8zN/v77b/bs2aOI/ERRpxYtWvDpp58C2oTW3MQa4azaN1sKZ8X668cff9QIZoWfloLZvEdgYCCzZ88GniWxXrt2jZUrV3LgwAEePXqU7eezxneKtY9l3F2Icv7v//6Pvn375ohwtkiRIsrP0kZtj8FgoHfv3nz00UeKWNYy7wiyRzhrzZrHUjBbr149EhMTad++PQsWLJDC2UKK2m/evn2bkJAQtm3bZjPhrLXibvFctWhGp9Px4MEDDhw4wOrVq7lz547N5pninEWLFlUek34z5xACFHt7e2Xdvnv37mwVzor7+dJLL9GjRw/Kli2r6WqoXt+o94suXbqkPC87MJlMmv0kSIqLqcdtSeEjPX8p1uhiXdOsWTOcnJwU+xWPP3r0yObCWUv/KP1l/sdkMmFnZ8fIkSPx8vLSdNI0GAw8fvxYaZZj7T6O2Ku/fPkyPXr04Pbt20pMXvh1Z2dnJf4q9tzFuh2S/KS4joSEBO7du0dQUBDjx4/nvffe4/jx40qRL2mLucuWLVtYsWIFd+/ezbZjinv6+uuv06FDB03cXdjY3bt3+fzzzzl58qRNC1C0atWKZs2aaeYPOp2Ohw8f8vDhQ5udVyKRSNJCimYlEkm6qINpLVq0oF+/fikKZ+Pj4xXhbK9evTIknFUn7Y4YMUIjmBWTNnG+nBTMCtQJaT179uSLL76gZcuWgNzgy22OHj2qdF+wt7dX7E3dnaN9+/aULVs2167REp1OR/PmzalRo4amcq4IbJ8/f57Q0FDA+spO6u/aiBEj8PX1ZdmyZVKYmINYCsH8/PwYPXq0IoAuyMLZ9OxUBHHs7e3Ztm0b7dq1k1VH8yhSOCuxNWo/KTabRcXEwMDAPCWcbd++PT179tQEn9U+Kzo6msOHD7Nr1y6rE97SEs7GxsYCyRPJJJKsIoWzEoGlcFYkeok1d1RUVJrC2fj4eGJiYpTNOECzlhGPi396vV7ZsFMnT6iFj5DUHTYxMVHTaUQkUIp4wN27d7l+/TonTpwgMDCQJUuWMHjwYNq3b0+HDh1477338PPzIyAgQPGpktxB7UOaNGmCr68vlSpVwtvbmw0bNmRKMGt57NSEs8Ku85JwtlevXhw+fFgmihdCrKl4r07gKVGiRLJE3JwSzlp+H6WN5jxqwazRaFTEAQCTJk1i79692Xo+a7smCptUd2fIaeGspVhY2qdtSU8wKxKvAN5//31GjBihvM4adDodjo6OvPXWWzRs2FBZo0BSx/hffvmFwYMH8+DBAyDJBrLTvoQdlStXTpPYK7534tySwo21vlIIbYKCgmjRogXdunWjf//+gBTOFgb0ej0PHjxg7ty5PH78WCOYrVmzJqNHj8bJyQlIPufKTdITzoq5qGXH2W+++QaDwcCPP/7IgAEDNHNasY6Xgtm8RUhIiDLPFP7LYDAQFhbGqlWrOHjwYLYKZzPqO/v160epUqU0c4LcEM5KchYHBwc6d+7MtGnTNMJZ4XeyQzibnmBWLfi3FMwKf92mTRvmz58vhbOFjODgYI3f1Ol0XL9+nY0bN9pEOGutYFbYavfu3QE0gnMhnN2/fz+rVq2yqXBWjRzbc5aSJUtiMBiIi4tT9vpsIZwFcHJyonXr1rRr1w4vLy9Nx07xv3qv6OjRo/z555/ZZhOiiCsk2ZmICdjb22fLOST5D2sEs+p55qZNm/j0009p27Ytjo6Oyhgv4k85IZyV5D7ZuYYQfqlEiRJUrFgRQJPjLprlqAv9poWIw16+fJmBAwcqgllho/Hx8bi7uxMaGkpQUBDvvfce1atX17wvdSFrcUxRtBogIiKCX375hTFjxjB8+HBWrVrFH3/8kW2fiSRjBAYG8uGHH7Jlyxa2bt1KREREth6/dOnStG/fnpdfflmTGyTW2GFhYcydO5dTp07ZZH0txupXX30VvV6v2KGYv/z++++AzIWTSCQ5jxTNSiSSNBGTGGuEsyKYnVHhrKVg9siRIxqRrDohwlaCWWsmYeqEtDJlyiiPyyBg7uLl5UXz5s1xdXUlLi4u2ULQbDYTHBzMypUrgWcT8NwQ4VhSu3ZtmjZtqumwBEnJRRcuXAAyZl/q79rYsWPlRnQOYimYFUKwb7/9lnHjxhVo4ay4rnPnzikVyVIipc4k0i7zJlI4K7E1wcHBGsGsGPsiIiLynHC2U6dOdOnShXLlygFJ47SYn4aFhbFnzx6uXr2q+bs1xxfC2SFDhuDj4wPIRDKJ7ZDCWYkgpY6z1gpn9Xq9krAmSExMpFq1aqxatYrRo0fTrFkz6tati729vZLkpk6iMBqNSsK42CwU88KUki3UQlq1DxabfeKxe/fucfz4cY4ePUqpUqVwcHCw6ecoSR/1PW3cuDETJ05k69atWRLMWh47LeGs+DmvCGdLly4NyPG9MGFtxXuRwLNjxw6+//57ypUrl2vCWUnuYSmYVcfk4VkHjRo1amTb+TLaNXH79u3Mnj1b6WQirk3Y6OnTp20unJXkDBkVzA4ZMkTzuoxQq1YtOnfurMQ+LZNgz507x99//63526VLl4DsSXYTtlyrVi3s7OyS7TXduHFD8zxJ4SOj4oXAwEDq1q2L2WymZMmSDBo0iHfffReQwtmCjPARhw4d4tatW8o4rtfrKVKkCG+99RYVKlTI5atMnbSEs+q1lVo4+8EHH7B69WqNYFZ2mM3b3LlzB4PBoLk/Ig6U3cLZjK6DQkNDmTx5MgMGDKB48eJSOFvIcHBwoEuXLhrhrIhVZodwVtji7t27re4wqy7oL2jbtq1Vwlkxd5Xkbw4fPsysWbOAZ8I8sUa2lXA2M3PO6dOnM2bMGCBvCGclOUelSpWoWLGisv62pXDWbDbj5uZGnz59aNasGa6urhpbUucuGY1GYmNjWb9+Pffv38/SeSEpLnDt2jUgaV/eYDCg1+spWbJkls8hyV7UDU7UtqfeI8wq1vhLtWA2ICCAl156iWLFitGnTx/at2+vCGdFB0YpnC3YnDhxAtDG27OLEiVK0Lt3b0ArXjUYDJw9e5aQkBDlsdSwVjAbEhJCtWrV8PDwYPz48SxcuJAFCxZQuXJl3N3dNXkf6sKXlo/HxMTwzz//sGTJEuU7I8lZdu7cqewDPXjwgE2bNvHVV19lm3BW3PtXX32Vnj17UqpUKc3jwrZu3LjBzJkz+eWXX7L9uyHmpXXq1MHJyUn5fojz3Lx5E5CaC4lEkvNI0axEIknG5s2b8ff3B7QCw/SEsyKJKyMdZ9XC15EjRyYTzOZEh1mxQLh06RJXrlxJ87kZTfyQ2J6aNWsyatQoXn31VZycnJT7KSbWItCxfPlyxX5yO7FQnHvo0KHUrl1bkxyu3rw5d+5cho+dUuKxXGTYHvEZBwYGaoRger2eQ4cOFVjhrAjg/Pzzz3Tt2pUhQ4YogWtJ/kYKZyW24sGDB2zfvh1IGqOFP4O8KZzt3r07bdq0wcPDQ/m7+pp//vlngoKClOu1ZuNHPU/x8fFh+PDhhIaGykQyiU2RwlmJICXhLJCucNZgMODo6KgUzVL7smbNmjF06FBWrFhBSEgI27dv56uvvmLq1Kl069aNBg0a4OrqirOzs6azrHi92LCzPLZl9XJxneL1IoFOdJb9/PPPadWqlY0/QYm1qH1Iw4YNKVmyZIrJh1k5dmrCWWFXeUE4K65X/b8kZ0nJl2TmORk5X3qCRHUCT2BgIM8//zwAGzdupEKFClI4W4iwFMyKJAJhI56enmzZskUpOpBVMppgtn79eqpWrUqHDh2YOHGiFM4WYHJSMCt8bZs2bejbt69yHPUcQZ2cLuzpp59+AsiWvSF10m18fLwmwRPAzc1N8zxJ4SOtsVz8nJLQRlC8eHEGDhwoO84WcISP+OGHH3jy5IlynxMTEylevDgdO3bM852w0hPOCp+bmJio7P/7+/trBLOyw2zeZuzYsYwcOVLplqhOos5O4WxGO38FBgZSq1YtAPr27cuQIUM0+6HifymcLdikJZwVeUeQeeGsWEdDkmDCstuxehxPbe6XnnD25MmTzJs3j8uXL2fDpyLJTd58803q168PaMUmthDOZrTQgNpW/fz8lOdL4WzhwcXFBWdnZ02HV1sJZ4XdeHt7M3LkSJo0aYKTk1MyW1Kv2X/77TdOnz6d5XFa2PP3338PJAltEhISKFOmDC+//HKWji/JGin5E7UPio2NVWxArIHVZCaenZkCAz4+Psp1VKtWjd69e0vhbCEiKCiIQYMGMWHCBCB789jU+56NGjXSFIcW9n327Nk0j5GRDrOVK1cmMTFROfZzzz1H+/btWbduHQsXLuS1117D1dUV0Da/UqPX65Xvw9KlS6lTp062fBaSjHH+/Hng2RpIr9cTHh7O5s2bs004q57zdejQgX79+inrFnXBSqPRyPXr1/noo484ceKETUTUrq6uil0KQTnAw4cPAVmoUiKR5Dxyp08ikWgIDAzko48+IjQ0NEWBYXZ2nLUUzB4+fFiZHKkTJGwtmNXr9fz444+0b9+eOXPmKJ3CJPmHatWqMXToUF577TWNcBaSAieJiYksXbo0Twhn1YKal156CUD57gib1Ov13LlzJ1euT5I5tmzZoiQ52tnZaYRgBVE4K2z1p59+Uirm//fff4wZMybNjrOS/EN+Fc4K3y6TJvImHh4ezJ49m1deeUUzHuZV4azJZMLR0ZHBgwfTuHFjIGnTRwi8AL766it27typvM5axPtu2LAhdevWVR6TiWQSWyGFsxKBpXDWci0eFRXFzp07NcJZs9lMTEyMMs8VduHo6KgcR2yAV6pUiZo1a9K3b18+/fRT1q9fz969e9m0aRMzZsxg5MiRtGrVisqVKyvzXCGCVY8JRqMxmZBW/bN6Q3zZsmW88cYbyrVK8gYpbcxm57EthbNNmzYF8lbHWUnuo/Yft2/f5t9//+XgwYPs2LGDQ4cO8d133/Hrr78SGxtLTEyM5rUZnYeml8CTVnJufHw83t7ehIaGUr58eSmcLQSk1mFW2IiHhwehoaFUrFgxy126IeOC2cDAQOrXr09cXBwAvXv3lsLZAkpOCmYhab0NMGjQIOV4wu9Zzh9EAvC5c+c4depUpt9nSohkSHXCMaApnCUpvBw5ciSZYFYtFExJaKO23+LFizNo0KB0hbNff/019+/fl/GgfMrx48c5evQokDQ3c3BwYOTIkXh5eeXpuVpK+/+WwllLAZvwyTqdTgpm8wFiPubn58fgwYOVGE5awtnHjx9n+DyZmWcK3ynmGL179+a9995LUzjbp08fKZwtgKQmnBV+JivC2WLFitGvXz9q1KhBQkKC4qMzIpgVpCactbe35/Hjx9y5c4dixYpl/QOR5BrCrwQHB9OwYUPN3C27hbPpFVyDlP1mYmKi8rohQ4YwduxY5dqlcLZgI/yUi4sLoO30amvhbMmSJRk/fjyvvvoqDg4Oii2p53kipvD5559z8eLFTJ9T8Ouvv3L+/Hnleyfsu3r16kpeoCR30Ol0xMXFERsby4EDBwgJCWHcuHH06tWLNm3a8NZbb9GyZUs6duxI//79mTNnDuvXr+eff/7h0aNHmvE2o93jUytQmdoaXZ1fnBHhrOUegSR/oW54smvXLiZPngxkXx6bsEcPDw9q1aql8YlqWxXzVksyIph97rnnlH0By+9OyZIladSoEWvXrmXOnDkMHDhQafCizr233Etv2bKlcgxJztK+fXvs7e01OcW2EM6KMfLdd9/F19cX0Mbx1cLZTz/9lGPHjmW73ytatChFixZNtsYS1ybtTyKR5DQ6s/Q8Eonk/2OZpFO0aFH69OnDsGHDAO3ESR3AO3LkCEFBQfz8889AUnda9caxs7MzoaGhVKtWTal8I4LbI0aMyLUOs0LwNWjQICVQ1KpVK8aMGUOlSpWy5TySnOOvv/5i5cqVHDt2jOjo6GTd3oS4ZdSoUSkuCHKDixcv0qtXL54+fao8JhbpnTp1Ys6cObl+jZL0iYuLY/bs2ezfv1/ZGFFvPIgFacuWLVm0aJEiqk0v2VHc+ydPnrBmzRp27txJeHg4oBVfi+M3a9YMf39/nJycsiWZMr3rEoJZsSEoNrdr1arFvHnzpB8tIIgxPzw8nJUrV3LgwAGl+0FKz+3cuTOzZs0CsKkdpoSwzePHjyvzGm9v7xw7vyR9hD1duHCBWbNm8dtvvymbGaAN4Hl7e9O/f38GDx4M5N6YLc776NEj+vbty99//62pSC7mvm+++SYzZ86kSJEiMhlMkue5ePEio0aN4tq1axohjrqIy/PPP8/48eOVzo0y0bFg8tNPPykJ3CKBQiRXJCYm4uzsTMeOHenduzeVK1embdu2iohWzHfr169PcHBwiscX9pSaD3/y5AlPnz7l/PnzPHr0iF9++YXr169z48YNwsLCUkzqED7Y3t5e6TArk3ILN+Kem81mTp8+zRdffKFUoRfjtPg5ISEBb29vlixZgo+PT25etsTGCL8TFxdHTEwMu3bt4q+//uL7778nLi4uxUTwatWq4eXlRc+ePSlXrhwvvPCC8reM+pa9e/cybtw4IO3OSpbJuSL2GRERQa9evbh27Zri99QFL8qVK8eIESPo0KFDpq5Pkvuk1mFW2IuHhwcbN27MNsGsmv379yuJtWl1ZFDbp9pOQ0JCmDdvHnFxccn2C0wmEz4+PixduhRPT88cjwtIMk5OC2bVqO1j+vTpbNy4EdCKyAUiDjpw4EClS0RWfJ/wt1u2bOHjjz/WJErGx8fzxRdf0LhxY+lfCzExMTFMnz6dvXv3EhcXp9hBRjvTAdy5c4d169YphYuMRqNGDObk5MSkSZPo3r277d+YJNsJDg5mzpw5mrGwaNGiBAUFUa1atdy+PEDrL2/evMndu3epXbt2ms/7/fffWb9+Pfv37we0MQPxXEiegCvX5nkP9Xi7YsUK1q5dqxSNEPdIjIOlS5fGz8+PVq1aKV3XM8KOHTuYNGkSYP08E7Tzig0bNrB27VrNfqj4PyEhgZdffpng4GAl2VjONQsOsbGxbN26lZkzZyoFp4TfUYvzly5dqkn2T83XiL/Fxsayc+dONmzYwN9//w08s8mAgACrBbNq9u7dy4QJE0hMTMTJyYno6GgqVKhASEgI3t7eMrcjn6POSRswYACnTp1S5m7qGKTZbKZcuXL07NmTzp074+bmlqmxTy1wzIjfVLN69Wr8/f0B7VrKbDbj4eFB69at8fPzo3jx4nJ8LgBMmDCB3bt3a/bU1eO5ENG2b9+eBQsWAFnPtRS2d/PmTebMmcOJEyeIjo5OVuxfNLSoVasWn376KVWrVs20P5w7dy4BAQGAVuj2+eefK8VTJTlPeHg4165dIzAwkPDwcM6dO6f5u7rIgKUswdvbGxcXFzp37syLL75Io0aNlL9ZM3b+9ttv9OzZE7C+qFVKXLhwgQ0bNrBnzx5iYmKUPSQR//Ly8mLUqFF07NgRBweHzHxMklwkODhYyVdzcHAgLi4Os9ms5OBC9uSxCTuPjo6mT58+/Pnnn4pPFLb05ptvMn36dDw9PZXXZVYwmxqWtn7mzBnOnDnD5s2buXHjhua5cr2e+/z333+0bds2xRy5EiVK0K1bN7p3754teY5q21m4cCFffPEFoJ0rClstXbo0o0ePplmzZpmKA6TErVu36Ny5M/fv3weSxgd1bF8ikUhyEimalUgkgDZJRx2IK168OB07dlSqNKlJTzgrkrnEhF4tnBXkBcGsEHw5OjoqFVPatGnD8OHDqVy5cracT5Jz5CfhrMlk4uHDh/Tv359Lly4pCWhikdCsWTNWrVqV49clyRwPHjzgiy++YOfOnURERBRY4WxK/lOMG3q9Hnt7e2JiYqhSpQpfffUVzs7O2Xp+Se6QH4SzatscOHAgiYmJNGvWjNmzZ2uCkJLcJz8KZ4UdX7hwgcGDB3P37t1kIkOj0ciGDRtSTDiTSPIi1ghnq1atytixY5XOjZKCibXC2Z49ezJz5kxOnz6trFtMJhO1a9dm06ZNVq/ZLe0sJSIjI7ly5Qp3797l1KlTPHjwgL///pvw8HDi4+OV5E6A5cuX06JFC82xJYWP9ISzIkalFs5+9tln1KtXL5evXGJLwsPDCQgI4LfffuPs2bPK46IbDCT5PXUHbXt7e4oVK0bHjh1p06YN5cuXV4r/WcPZs2fp0aMHgBJvtEYwK7BGOKvX66lQoQIDBw6ka9euWfykJDlNbgpmjx49ip+fn3K+tDrYWNpnRoSzDRo0YNGiRbKQVR4nNwWzArWNT5s2ja1btwLJhbNibgrZm+QlOpapk31LlSrF7t27cXV1zfRxJVnn5MmTODs7a+IsOS2OCgsLY+3atezbt49Hjx5hb2+vdDjMSGc6SFk4Kwp8FCtWjJ07d8oYZj7DbDYTHR1Nv379+OOPPzRFpdu2bcuiRYty+xKT+chjx46xadMmrl+/zvDhw2nVqlWar0lNOAvIDrP5jJwQzt6/f59WrVoRGRmJk5OTkndh7TooI8LZChUqsHv3buzt7bPwqUjyIqkJZ0Gbx5QZ4eyuXbtYuXIlYWFhhISEZEowK9i7dy+TJ08mLi6OSpUqERwcjLe3d7bmNElyj5wSzv7777/06dOHBw8eYG9vr8SnMlOkJS3hrLe3N6+++ioTJ07Ey8sri5+OJLcZM2YMBw4cSJaLJH4WcU9bCWfDwsJYtGgRP/zwA5GRkZq8KPFzYmIiNWrUYNiwYdStWxdPT0+rfLUgICCAuXPnAtr5Z7t27Zg9e7Yc/3OJr7/+mn379nH27FmePHmiPG4wGJT7bokQUwv7U//fuXNn6tevT/v27a1a5ycmJjJy5Ei+/fZbZU87M/4SUhfOOjg4EBMTQ40aNdi4caMUzeYzdu7cycSJE4GkeaN6nW4L4Wx8fDz+/v6sX78+2fjr5eXFF198QfXq1ZX8p+wUzFpei9qP3r9/n02bNnHmzBlOnDgh1+t5gMTEROLj4+nYsSP//fef5m85IZydM2eOEpNMqeB0iRIlGDhwIG+99RYlSpTI9DmFfV2/fp2ePXty//59JV8/ISGB8ePH895770k7lEgkOY4sbSaRSJIl6Qjhk9Fo5M6dOxw5coSHDx8me5066NKiRQv69evH//73P0A74YqPj8fOzo6oqCh69erF1atXARg+fLhGMCuqNonX56Rg1s7OTlkEG41G9u3bx6JFi4iKisqWc0pyjurVqzN06FBee+01nJyclGRugdjwW7p0qWJfQqya0+j1ejw9PXnppZcANAFNnU7HnTt3NB1oJXkXk8mEh4cHgwcPpn379nh7eysbJZbVFQ8dOsS4ceOU4ExKgUM1wj5dXV0ZMmQIb7/9trI4Vdu3OP7Ro0cZO3Ys0dHRVh0/o+8zJf8phBUGg0HZBPfz85OC2TyCOiin7tSWEdsQY36JEiUYOnQob731Fu7u7smqQ4rnbtu2jalTpwJkux2mhKVtiu5zR48eZeLEiUrlMkneQNhTtWrVmDp1KnXq1MFoNCr2JPwZQEREBIGBgaxduxbIvTFbbDBWqlSJrl27KptxYtNRbO5s27YNk8mUK9cokWSUF154gaVLl1K+fHlN5zq1gPbChQssWLCAP/74I7cvV2JDGjRooGySiLW38G8Gg4GoqCh27tzJunXr+Pfff5ON62Idb+3GhjoZ0xJxbFdXV2rVqsUbb7zBtGnTWLRoESEhIWzbto1Vq1Yxfvx4Bg4cyLJly6RgVgJoK5j7+Pjw3nvvKYJ/ywJtQow4evRozpw5k5uXLbER169fZ8eOHXTr1o3169crglmDwaDEhYSfE5XGAWVdGxcXx82bN/n888/54IMP+Oabb1Jc+6SGXq9XkndjYmIwGo0ZSuARc0tvb29CQ0MpX748CQkJypxUJBtduXKF3bt3ExcXl/UPTZJjWMbixdiXE4JZEasqVqyY8ru4DmvsU70e6927NxMnTsTe3l7T2cRsNmNvb89PP/3E7NmzM/TdkeQsaQlm1YksYDvBLGgLGXzyySd07NgRQPF78MxWxRgO8OGHH3Lq1ClAu0+VUU6fPs2ff/6p+FVxvpdffllj25KcZ/369QwcOJDevXszf/589u3bB6CxCVtjNpspXbo0Q4YMoVWrVnh7e2daMAvPihQPGjRIKViUkJBAXFwcFSpUYPv27Up3bkn+QcRSIiMjAZQCJ/DsfgO56kfU+0cXLlzg888/Z/DgwXzzzTf8/fff/Pnnnym+Tu1Xa9WqxYABA2jdujWQ5JulYDb/od6nGTZsGIMHD8bJyQlI8qkiDhQWFsaqVas4ePAgjx49svocnp6erFixglKlSil7lBlZB6nnmn369GHw4MGa/VDxHIC7d+/KPI4CioODA126dGHatGkakQ0880GioJUofAJpzwfF3xwcHGjfvj1Dhw5l+/btWRLMArRt25aPP/6YChUqEBQUJAWzBQy1SG/9+vU0bNiQhIQEZd0gxlghCNi4cSPbtm3j0aNHGVqfuLu707t3b8qVK6fEdjLaMVHg6+vL2LFjAe14bWdnR0REBJcvX5bir3yOsCvL8U/Yovgn7FOv12s6GavtOjOIcbp06dJMmDCBtm3bJsuLEsI0g8HA+fPnmT17NkuWLOHChQua+aG6eKF67njz5k2WL1+uEcyK91OyZElef/11KZjNYcxmMydPnmTy5MlMmTKF48eP8+TJE4xGo0YkLWJJ4jXin/ibeJ66McS2bduYO3cuw4YN4+rVq2nO7USMdNmyZbRu3RqTyZRpfwlQrVo1+vTpQ7t27XB0dFTyi2JiYqhYsSKrV6+WPjMfUqZMGSpWrAgkxS+F3el0OrZv387kyZOB7Mlj0+l02Nvb88477+Do6KhpFGAwGLh37x7+/v7Exsai1+ttJpgV1yJITEzE09MTPz8/1q1bx969e+V6PQ9gMBhwdHRUiqxY/tPr9YSHh7N582a++uorIiIisuWcws4nT55Mv379AJTvhfjZYDAQHh7O6tWrCQgI4N9//1WOkdEYrLAv0XRIkJiYiJubG40bN9Y8TyKRSHIKKZqVSAo5KVW1V3fecHd35/PPP09TGJOWcFZMrtTC2c6dO9O/f3+++eYbTdKieiKW04LZ+Ph4JWikrlAmBV+5hzqYklHSEs6KxV9eEM6KRYmHhweQtBgQgcSHDx/KxMd8ggjsubu74+vrWyCFs2n5T0CTILF8+XLatm0rEyNzCUtfJuwjISGBJ0+eaKqMpvU6S/KqcDY12xRzi2PHjjF69Gju3btnk/NLMkd+FM7qdDocHBxo2rSpMr9Qz2XhWedOEfCWSPIDqQln1eu8MmXKKGO8pOCSnnD26dOnSqd50CY1iI3j7BD1WApwxTUAFClShHLlytGgQQPee+89JkyYIDf5coG8PMdPTzgr1m1SOFuwOXHiBAsXLmTGjBmEh4crCTxiDilsRK/XKwmElj5HiADgWbKW+jnWUKtWLXx9fWnXrh2QVEE6Iwk8qQlnjUajsr4qW7Ysixcvlsli+YiUYvHq+IotBbPwzE82atSIWbNmKTbl4OCQIftMTzhrNBoVEdiUKVPk+JxHSa/DrDqZ1paCWYGwE6PRyMcff0ynTp0ArXBWnWD58OFDZs6cqRHOZhSz2cw333zDzZs3Fd8v3nPHjh2xt7eXa/tcIjAwkHnz5gHPxtAvv/ySCRMmMGjQIHbs2MH169c199xWMSIxtyxVqhTDhg3j1VdfxcvLi4CAgEwLbYRwdsCAAQCUKlWK0NBQRWiTk110JdnDuXPnuHHjhjKvFDZRs2ZNIHeTAMW1rFu3jk8//ZRly5YBKIKzNWvW8OOPP6b42rSEs4mJicr8AaRgNj+RmnBWfb+zKpytX78+CxcuVPxaRtdBqQlnxfdLzDMPHz6Mu7u7LDZQQLGVcNbR0ZEuXbpQvXp1zR5UZuncuTO7d++mWLFiUjBbAElLOCtijFkVznp5edGrVy+6dOlCqVKllOJumS3SYimcFeN1+fLlWbVqFa6urrIwUD5GzLGEDxSPWe6ti7WzrYSzIl9k5MiR9OrViwoVKmjyT0T8VcQcNm/eTK9evViyZAn79+8nLi5OydEEePz4Mffu3WP58uV8/PHHLF++XLlW9Xtr06YNbdu2VX6X2J7ExESWLVvGggUL2L59O4ASaxdFKSFJuC0KVsIzW0gp9i72Z8TaNzIyku+//54hQ4YQFBSk6b6ovs9iHmswGFi4cCFt27bNkr+EJOFs+/btcXFxITY2lgoVKrBhwwZlbJfkL3x8fJg3bx5VqlTR+EFbCmdNJhNVqlShT58+mkJvwh6vXr3KuXPnAPjnn39sIpi1xHKv/bnnnlOuS67Xcw8xBxP7ecImBTkhnJ0yZQoDBw4EtI1WRBzg/v37bNmyhQULFnD69Gkgc3GtO3fuaIryi6KZbm5uFC1aNCtvRyKRSDKNzixXERJJoSU1wayYjHt6ehIaGmpVko56Un3kyBGCgoL4+eefAe3ESy2wUlfhywuCWUvBl+hWI8l51PZ0//59pcJ2RheEf/31FytXruTYsWNER0drKpaJ8xgMBkaOHImfnx+ATRLSUkOcKyAggLlz5yZbjJcuXZqtW7fi6emZI9cjyTrCdh8+fMjq1avZvXs3ERERycQnwve1bNmSRYsWKQK/9GxP+LEnT56wZs0adu7cSXh4OIDGvsXxmzVrhr+/P05OTlmy7Yz4T5kgkXtYBoHPnTtHWFgYR48eJSwsjHv37nH//n08PDxwdXWlcuXK1K9fn8qVK1OrVi3ldendN/H38PBwVq5cqQhoUnqN2Wymc+fOzJo1C8h+H5uemNvBwYHY2FgAQkNDqVu3bradW5I9CHu6cOECs2bN4rffftNUYBT+DMDb25v+/fszePBgwHbJutawePFi1qxZoxHnGAwGnJyc2LZtG+XLl8+V65JIMsvFixcZNWoU165dA5I2Ips2bUqfPn147bXXcvPyJDnITz/9pHQ+UscJ1P5YnRRkMpmoX78+wcHBObqWkuQclkWA8sP8Xlyn2Wzm9OnTrF27lh9++AFIilGpC8Z5e3vz2WefUa9evVy+cklW2bFjB59//jm3bt1SYopqwXR6iYHqboci+adVq1Z89tlnVl+D+nvyxx9/EBwczM6dO4GkNUlG5rHifURERNCrVy9lrC5fvrxGZCOTc/M+6cXibS2YVRMfH8/JkyeZO3cuV65cwd7envXr12cowUz9vJCQEObNm4fJZCIhIYEKFSoQEhIi7TOPkp5gNrs7zFq+zprjJCQk8Mknn7B161blmtQ+XPjqYsWK8fHHH2v2clL7/ljOY9avX68IM9WJw+3bt2fmzJmyo0guERQUxOzZs4GkJGkhajaZTDg7O+Ps7Iyvry9Vq1alQYMGymttFScStnP79m3i4uIoX758ls91+/Zttm/fTpcuXaTQJp9z5MgRRowYoaw/xHojr+wzR0RE4Ofnxx9//KGsgYSfTExM5L333mPcuHGp2rTad/7++++sX7+e/fv3K3+X+0H5E/VYuWLFCtauXUtMTIzmHork8tKlS+Pn50erVq1wc3Oz+hy//vorAwYMIDY2NlPrIPVzN2zYwPr167l58yZly5Zl06ZNcp5ZSIiNjWXr1q3MnDkTs9msmbOp9wKXLl1Ky5YtAemLJNZjrQ9RP2/AgAGcOnVK6X4pfJUQgpUrV46ePXvSuXNnpYuYNfZ4//59tm7dypo1a3jy5AkhISFZ6oa8evVq/P39AahYsSIbNmyQfrOAYDKZ6N+/P7/88osm57J9+/Zcu3aNs2fPKvYpxDdiTdW+fXsWLFgAZD0XU9h2ZGQkR48eZcOGDfzf//2fYq+WYke1+LB69erY2dlRqlQp9Ho9f//9N7Gxsdy4cUN5jngP4j137NhR6T6bm/kBhYmEhAQmTZrE4cOHlXwbdWxG3ZgmvYLnYvwWsXo16m61RYsWpW7duvj6+lKnTh1NnF6gXstMmDCBnj174uPjkyW7uHjxIitXruSff/5h/fr1co1eADh79iwffvghly5dUvZ8hChQ+MdOnTopsfrsiMUfOXKEkSNHKnEBcR6AoUOH0qdPH7p06cKtW7dsKpiV5F2EXxk0aBAnTpzQ+FTLIgQmk4kSJUrQrVs3unfvjre3d5bPr7atJUuWsHbtWsUnW+Z+GAwGPD09mTJlilJADawfg1etWsWSJUsArXbkww8/pHfv3ll+LxKJRJIZpGhWIimk2CJJxxrhrKVoDJIq3eYVwazc4Mtd1J/5mjVrWLx4Mdu2bePFF18skMJZSFooiO+H+E6IBEgpms1f5EXh7JIlS3B0dMyUbUv/mb94/Pgxp06d4siRI/zwww8pVgC3rG7r5uZG7dq16dixI3Xr1lW6GKdFXhDOpieYVf+cV5KUCjKW3/mM+ID8JJwV17pr1y4mTJig2QwXbNq0idq1a+fYNUkk2cXFixcZPXo0V69eBaBZs2b06dOHxo0bA3JsL0xYCmfVFaNBu5ZPTEzEx8eHDRs2EB8fr6lyLsn/qL/3a9euZdeuXQwYMIBatWrx/PPPK8/Li4kqUjhb+NiwYQMzZ85UfhcbzuIei2Srhg0b4ubmRpUqVTCbzVy9epVHjx5x4sQJdDqd0gkpISGBKlWqsHLlSsqWLZuhdYyluGDDhg1069Yt0wk84vrv3btHq1atADh48CBeXl4ygSefkJcEs4L4+Hh++OEHFixYwKeffsr//ve/DNun+vkbN25k+vTpUsiQxxH2lZJg1lKIkBnBbGZiAZbHVh9jxowZhISEACSLrYrnAvj5+dGsWTPNWtwyIVN8r8LCwti+fbvScVGdUFyiRAkmTJhAmzZtrHoPkuxFFBcFrZBZfe/V47qDgwNt2rThjTfewMfHB1dXV+VY2b1+tUUhGXEc6SvzNwcOHGDs2LGKbQpbXbRokdIJK7c5deoUgwYN0gh74JkNVq5cmc2bN+Pi4pLq69U2f+7cOVauXMm3334rRWr5nJSEs9HR0UDyuE9mhbNnzpzBzs6OWrVqZWodpH7N2rVr+fbbb1m2bJmcZxYypHBWkt2cOHGCRo0aAdbvWaclnFXHILMinL137x7btm2jYcOG1KxZM8vxVn9/f7Zt28b27dulAKwA8eDBA7p27aoITIXtDR8+nJEjR9KvXz9+/vnnHBHOCuLj47l27RoLFizg6NGjyuOWAktI6rInUK/xxXWK+Yf4m/qapZgsZ0hISMDX11eJl6vzGNXr8v/H3nmHR1V0cfjd9ARSCQESeu+9S1MRQelIk97rB3YQkCJFQEGRIr0kEHoTRKUoAopU6YReEgKBkBBISN3s9wfP3Ny7m86mz/s8PobN7r2z2bNnZs6c3zninKVixYq4urpSunRpChQooORmXrt2jQcPHvDo0SNevHihXF8dqxE+UsSHdDodLi4uzJ49m+bNmyc5PrXtmuN86vbt23h4eJA/f37pL3MJWSGc/eKLL/j555+BBGG5EMfmy5ePsLAwKZiV0K9fP06cOKHxr2IdaSxezUjh7Jo1a1i9ejXBwcEasbd6XQswcOBAWrRoQf369U2uEx8fj16vV/JD9Ho9Pj4+icZ3GzZsyFdffUWZMmVe+31IJBJJepCiWYkkD5KRSTopCWeNq4GrNwjNmjVj+fLlQOYIZsWCTAq+sg/qv7naTp2cnFi3bh2VKlXKVcJZcY8ZM2awYcMG5bsgqF27Nhs2bJB2mAPJLcLZtIgSpf/MWiIiIrh27Rpz587l3r17hIaGAmiqx6sTuyChqqeo/Ojs7IyLiwuff/45LVq0SHEezkrhrLTN7IX67/rbb79RtGhRqlatmmuFswD+/v50796d0NBQ5Tsl1tVr166lYcOGmToeicRc+Pn5MXr0aMqUKUOfPn2kYDYPk1jHWWPEuvaNN95g1apVmT1ESQaj/t6rO345ODhgZ2dHv379qF69Oo0aNVJek93EsykJZ8XaQi2c/eGHH6hbt25WDluSDlavXs3cuXOBBFGUSHywtrbG3d2d4cOHU6ZMmSQ/3wsXLnD79m1WrlxJYGAgL1++ZOjQoYwcORI7O7vXGt/Lly9xcHB4re+IiJWGhIQA4ObmJhN4cgjZUTAriI2NJTIyEicnJ7N0Ed29ezdNmjSRgu5sTkBAAH379iUwMDDJDrMff/wxw4YNA9I+v8fExBAVFcWxY8cIDQ3l8uXLREdH4+DggIWFBV5eXtSuXRsPDw+KFy+uvE59H/XPCxYsYNWqVcTGxmoSeIzHXKJECerUqUPXrl0pXrw4BQoUUK4dFRVFZGQkvr6+nD17lr///htI6GQqEucGDx7MZ599Bsg9UGbzzz//MHDgQECbQAumn4WIZYp4jKurK4ULF2b48OGULFmSChUqKM/NbutTSe7Dx8eHmTNnKjYq/NLs2bPp2LFjlvsSg8FATEwMM2bMYNu2bRoRgqWlJdbW1vzwww80b9482bGqf3f+/Hl0Oh3Vq1c3+Z0kZ5EZHWfh9Xyx+rVRUVHY2dnJdWYeJDHhrCjyJ4WzkrQgYpzt27dX4kjZSTirLvpmjjVsZGQk9vb20m/mIp4+fUrXrl15+PChsj/W6/UMGzaMjz/+GL1ez4ABAzJdOCtYsGABBw4c4ObNm0Di4kjjRitq1Ht8Z2dn2rdvz8SJEzNkrJLEiYuLY8CAAZw6dUoTf0lsH96nTx8qVKhA06ZNsbGxMbmW2HdcunSJU6dOcejQIfz8/Hj58qUmB0Sdv6nOm1ywYIFSQDKjMPbPMoaQu8gs4aywm19//ZXJkycTGRlpEteChHNJKZjN2/Tq1YszZ85ocjjV3VjV4tWMFs7u2LGDTZs2cfHiRc0+S4xDHXdv1KgR/fv3x93dXVO4UHD48GGOHDmCr68voC1UaWtry2effUbv3r1fe/wSiUSSXqRoViLJYxgn6RgHk82RpJNW4SxAnTp1lIrh5uxOI0U1ORN1Qq69vT2RkZE4ODiwYcOGXCecDQ8Pp1u3bty+fVtTQUgIHRcvXoyFhYW0xxxIThfOyg6zOYfz58/z+++/s23bNp4/f674EPWca9wNQaC2RxGArlmzJnPmzKFEiRIp3jsrhLPSNrMX6r+r6AhSs2ZNpk6dSsWKFXOtcPbu3bt06dKFiIgIZWwiAX7VqlU0btw408YikZibgIAAgoKClG6L0n/mXRITzhqvYw0GA02aNGHlypVZOVSJmUmqoJXYq4j52NnZmYYNG9K5c2eqVauGm5ubco3sklyQknBWdpzN+QihAiSIn8RBbJUqVXj77bf54IMP8PDw0LwuqQSt8PBwDhw4wH///ceHH35IxYoVM+eNpAL1HkomUeQMMlMwm5V+1/je0j6zL1FRUfTv359z585hY2OjCFHVa7xx48YxYMAAIGW7Uq8ZXrx4wYMHD1i4cCEBAQFcu3Yt0bUjvJqDXV1dadWqFW+++Sb169fH1tZWcz+1HW3YsIEtW7Zw48YNJblMfJ+Mu9A4OztjbW1N2bJlFUH43bt3CQ8P59GjR8rYReKOeJ8dO3ZUquBnl3VMXiI4OJguXboQFBSk6bCgThoDTJJ2hZ3o9XocHBzInz8/PXv2pGHDhtSqVSur3o4kD7F161a++uork85Y3bt3Z9q0adlmTty1axfjx48H0HzH4FW37o8++ijFayQWH5Ixo5xPZglnXwf1vCxtLu+SlHAWtEXypXBWkhTq/TmQLpFMZghnzY38HuQujh07xuDBgzUFW/R6PUuWLOHNN99UnpfZHWfV36Hjx49z/Phxli9frnwnhM823t8Zd9QT69NmzZrRsmVLunXrZnJ9ScYRFxfH6NGjOXz4sIntiJ/LlStHkyZN6N27N15eXprXG39Oxrb16NEj7t+/z/z587l//z4hISEmcR3QzuszZ86kS5cumfDuJbmVxISzxnZtro6zERER9OrVCz8/vyTz9aRgNu8SFxdHTEwMnTp14t69e5rikXXq1MHR0VHp2J7Rwln1Hvv48ePs3r2bPXv2KF2QxVxtHHf38PDA0dGRunXrki9fPhwcHAgMDOT27dtcu3aNyMhIwLRQZe/evZk0aRIg16YSiSTrkKJZiSQPkZlJOikJZ9WLKXjVqWTHjh1mraifXIdZY/GsFNVkH4TgBhLsVHxWuUk4K+zzwoULjBo1ipCQEGUzbmlpiYWFBdOnT6djx45mv7ck88ipwlkpSsw5/P7776xevZqrV68SExOTaNUv9eGD8cGE+LewSb1ez5AhQ/j0009TPYbMFM7K7vHZi6QENXZ2dlSpUoWJEydSuXLldAlnr127xsyZMzl79myywtm+ffsydOhQIHOSWsX4bt26Rd++fXn27JnmMNzS0pJdu3ZRtmzZDB2HRJJZSP8pSarjrFg7xMfHU61aNebMmUPp0qWzcqiSDMBYjGh8SCYOlZ2dnXF3d2fIkCGUL1+eypUrK9fIDqKTlISziXWclcLZnIEQKYCpYPbtt99mxIgRlCtXzkSIlRRif2IwGIiNjcXGxibFuVDOlZKkSCkW7+bmhq+vr1ni4eoktJiYmES7O0gk8Krz9erVq9mwYQOhoaEa/2UwGGjQoAHr1q0DUo7ZqP3qqVOn2LNnD/v37+fZs2eagm7iuWIuVlepByhcuDDly5dn6tSpeHp6JnmPI0eOsGfPHn799VfF5tXJtsZF4YxRx2PFGMS/1QnDMlEt8xF/83Xr1jFv3jzlDM9gMODp6UmtWrUICAjgzp07PH/+3CSuCaZdbzw9PalYsSKDBg3Cy8uLwoULK/fLDutTSe7h+PHjDBkyBIPBoLHLN954g1WrVmX18DT079+ff//916Qr7jvvvMPChQul/8vD5AThrEQCiQtnxbpSdpyVJIc6xmlra0tMTEy6RTI5UTgryT3s3r2bcePGmRRBWb9+PXXr1tXYp7FwVuzRM0o4a7zPOnXqFPv37+fYsWPcuXNH81xj8Sy8KtDp5ubGoEGDaNiwIUWLFgXkHj2ziI+PZ/r06WzcuFGTa6bea7do0YIhQ4ZQqVIlHBwcUr23Fs8TPjAkJIQDBw6wd+9eTp06pYnXqHMuxBz/7bff0q5duySLYEokKZEZwllh57/99hsTJ04kIiLCJC9UCmYlz549o02bNpq4vMFgYOTIkTRu3Jhly5Zx9OhRAMVWgQwRzqrXpffv3+ePP/7g22+/1eSXqnNKBeqGaWrE90kdtzVeb0h7l0gkWYk8EZJI8giJJemIn80tmAVt1fCWLVvSt29f6tevD2gT0HQ6HdbW1rx8+ZJOnTpx9erVRIMjaUV2mM2Z+Pv7s2fPHkBrQ0I4+/LlS3r16pVuO6lUqRIjRoygadOm2NvbK8k6AiEYW7hwIUuXLgUSD9a9LmLjDbBt2zaePHliknwcGxtLkSJFzHpfSeYj7NjFxYVhw4bRrl073N3dNcE+SLCJ/fv38+mnnxIbG5sq2xMbzvz58zN06FA6dOhAoUKFADT2La5/+PBhPvroI6KiopK8vhTM5hw2btzI+PHjuXDhAjExMcpnKuZYMdfb2NhQsGBBvLy8KFSoEDY2NpokMnVCYc2aNRk7dqzyeGoQdl6oUCFGjBhB69atcXFxSfT1Op2O7du3KxXE0uJjpWA2+5FUB7qoqCjOnz/PzJkzuXLlimZOT801DQYDFSpUYOLEidSuXVsRQIB2Dg0ODsbb25sVK1YACT4xIxHv+ezZszx9+tREkG5jY4O9vX2GjkEiyUyk/5SohRPqxAl1QsbNmzfZuHEjt27dyrJxSsyPr69vooJZQFP1W6fT8eLFC27dusWkSZMYNWoU3377LefOnSMuLk6TNJFVtRvVh3p169ZlyJAhNGvWTHkvImFDVNANDg5m7NixnDlzJkvGK0kd+/fvZ86cOYCpYLZ9+/b88MMPVK1aFVtbW4BUJfCIeKhOp1NEh8nNheK7EBISQkBAwOu+JUkuIjWx+IwQzPbv359PPvlEqegtkRjj4OBA27ZtKV++PJDg98QcHRAQoBSWSA51YuQvv/zChAkT2LFjB8+ePVN8soi16/V6jY9WF3sDePz4MUeOHKFv37788ssvhISEKPdR7/ObNWvGRx99xJQpUzTFUY2LEwrfbGFhofm/eJ/qxEsnJyf69u2rSRSWiTuZj/ibV61aVSloIuwrMDCQokWLMmnSJCZNmkTp0qWVz95YmA0o/jAoKIg//viDMWPGMGTIEHbv3s3NmzeBhDWBrCsuMQdinhe+R/x39uxZzp49m9XDA1C+L2XKlAESvgPCH1+/fp3o6Gjp//Iw6nOakSNHMmTIEOzs7IAEXyl8bmBgIEuXLuX3338nLCwsy8YsyZvY2trywQcfMGnSJHQ6nWYvFBsbi7W1NQBjxoxh//79AGk6n5LkTnbv3q3EOK2trYmOjlb2CDt37uTLL78EUn9mrd7jr1mzhkaNGikxUONi1f7+/mzcuJHt27cTFhYm7VGSbsS++sSJEwCa/W7p0qWVgqZq+/T29qZ+/fqKfYr9tXjdnj17+Pzzz01el16MY6/16tXjiy++YOvWrcydO5dhw4bRpEkTSpQoQYkSJShcuDDlypWjffv2DBo0iHXr1rFq1So++OADRTAr9vCSjGfz5s388ccfQML6Ty0obNu2LfPnz6dOnTo4ODhocjZSQjxPCKjc3Nz44IMP+PHHH+nUqZNy3qi+pnqO//zzz/njjz/kmbUk3dSsWZPp06dTrlw5zd5dnA+md02gRthuuXLlKFiwoHIdNUIwu3XrVimYzaNERUUpZ9GQYDdOTk7UrVuX3r1707RpUyAhxi18Y1BQEFu2bGHz5s0EBwe/9ljU69LixYvTv39/1q9fT+XKlXFycjKJu6v9tKWlpVLgQPysjruLOFSnTp2kYFYikWQbZKdZiSQPYJykI4IpQgRlbsGsGrVQJbmOsyJh6HU7iYIUfOV0Dhw4wMaNG/nnn3+AjLGT9HSczYjq47///jtfffUVz58/V5JBxDjUFawkOR/hX1LqOCue+zodZ5ctW8bu3bt5/PgxkLaOs9J/5hzUXblFEE/tQ+zt7XnjjTdo0KAB1apVo3jx4uh0OqKjowkLC+PatWscOnSIy5cvK8nd7u7uTJo0idatW6fLtwo7yIiOs7IYRvZF3d1LLWIWVb5r1KiRqzrOinHNmjULb29vzQGjwWCgadOmiohXIpFIchOJdZwVyRV6vR4HBwc6duxIr169lERcSc4lKiqKuXPn4uvri62tLdHR0crvjMVfxgWgBIULF6ZUqVIMHTqUYsWKKYkukHXdvdTdHhLrOCtiD+qOsz/88AN169bN9LFKkufy5ct88803irA5qYrgGbkfEHuYW7duMXz4cBo1asSQIUMoVqxYhtxPknNISjCbEbF4dQKZOjG8S5cuTJo0SRb0kSTJqVOnGDBggKZjq9hnV6lShY0bNypF14znbLVvVccEIPE4pLqwQVLFrtRzb48ePejYsaNm7WDsz69evcqaNWv477//8Pf3V+Zx40IfIpFHXTBO0KxZM95++226d+8OyMSd7MJ3333HypUrAW2SougYFx4ejq+vLydPnuTYsWPK6xLrPAzaYj/lypWjYcOG9OzZEw8PD/Lnz688X8YQJeklODiY3r174+/vr/g3YXNTp06lR48eWTk8DcZdceHV98zd3Z1ffvlF852Q5E1kx1lJTkF0nJ05c6ay3kys4+yCBQt49913ATnX52VOnz7NpEmTuHv3rqbLpjo/R3acleQE4uPj6dy5M35+fpr9zhtvvMGqVas0z02u46x6n5wRHWeNx2wcUxBFDmJiYpRGK5Ks5f79+0yZMoXjx48DKGd/ifnIjGDRokVs3ryZJ0+eANoCamJet7S0ZOXKlTRq1CjDxiHJ/WRGx1nQ5vMZN/MZNmwYY8eOzbJzUknWINZ+v/76Kx9//LFic0J0umzZMsW/HT16FG9vb03HWZGTlhEdZwXCJgMCAvjrr7/YuXMnly5dUta0icXd1fatLlRZokQJ3n//fcaMGQOYf30hkUgk6UHOuhJJLiexJJ3MEsxC6jrOgmknUT8/v3RV7ZGCr5yLsJN33nmHDz/8kAYNGgDazsQieJYVHWeNk2peF39/fw4cOMCLFy+AhK6glpaW5MuXT3n/srZF7iC1HWcBs3Wc9fDwAFLXcTY2NjZFUaL0n9kHdYDNyspKI5j18vKiVatWbNy4kW+//ZY+ffpQs2ZN3NzccHV1xcPDgwoVKtC+fXsWLFjA999/z7hx43B2dqZy5cpUr14dMK14lxrS03F24sSJyv2SsnMpmM3eBAcH4+LiovgItag1Li4uUzvOLl++HMjYjrM6nY6rV6+ydetWzWNiLFIkIZFIcitJdZwVBzovX75k165dbNiwQXaczQXY2dnRpEkTAKXjkJjjCxUqpFS5VXdRUO9p4VXXuOPHjzN27FhGjhyp6UacVQfBKXWcFWNXd5z9/PPPleJvkuzBixcv2L9/P5cuXVKKnon90Pvvv69JaMhowezt27fp06cP/v7+HDx4kA0bNnD//v0MuackZ5BY8UqRAJiRgtnRo0ezf/9+rK2tlf32jBkzZMdZSaIYDAbq1avH5MmTgYT5HF7Z7eXLl5kyZQqgFcGK1wrfunv3bkUwa2VlpTxXnXQmri8KuYr/i+eIa4nvQ3BwMD4+PmzatImHDx8q91X7c4PBQKVKlZg0aRJLly6lQ4cOStEWdfdZgbrDrbOzM2XKlGH69OlMmzZNCmazEcJeGjdujIeHh2Ijws99/fXXXLhwgfz58zNo0CAWL17MhAkTqFevnlLETR2TUtuguMbNmzfx8fFhxIgRjB49mpMnTyp2po6fSyRpwd3dnYIFCyqxbXU3rOXLl3Pv3r2sHJ4GV1dX5axTFHSNj4/nyZMnhIWFSfuXJNlxVh3Xlx1nJcao/V9mITrOTpw4EQsLC83eSOQdAYwdO5bff/8dkB1n8zJ169Zlzpw5mu5yYj6UHWclOQFhK+fOnSMgIEDxd2LNWadOHQDN2XhyHWdFPlxGdZxVI2IN4j2o994iz0X9e0nWsGvXLkUwa1yw/91339XE282JuN7o0aMZOXIkpUqVArRia3Wxt9mzZ+Pn52fWMUjyFhndcVb4subNm1O+fHmTLp3x8fH4+fkpawFJ3kF83kFBQZrH9Ho9sbGxODk5KY83bdqUvn37as6v1UUhzd1xViDuUbRoUXr27Mn69esZMWIEzZs3B9AU3hCo4/xiHdK7d2/Gjx+vCGbVnXUlEokkK5GdZiWSXExSVe3Fgt7NzY3169dTunTpDE8KMO446+Pjw4kTJ5TxiEWVSCBycHDA19eXihUrpnpsSYlq1B1QpKgme5PZnYmzquNsfHw8q1evZt68eZoETxGcr1evHqtXr5YV9XIhqe04K4KQ6e04++LFC5YvX56qjrPz58/HwcEBQBYcyAFs2rSJqVOnAmg6dRgMBho3bqwUHXB0dFTsIbHPydiXXbp0CWdnZ7MI/szZcVbO7TmDtWvXsmrVKk31T7W4NTd1nA0NDWX+/Pls3bpVU0nPYDDg5ubGunXrKFeunLRBiUSSa0mp42y+fPno0KGD7DibS/jyyy/ZuXMnkJBcWKBAAT7//HNCQkL4/vvvMRgMmsQFNcbFp0qXLk2NGjXo168fhQoVwtXVVfldZlZVTm3HWTs7OyIjI3F2dub333/HxcUlU8YnSRxhI6dPn2bUqFGEhYUpdie6Knz77be4ubllqD2pBbMffvghz549UzoyOzk50blzZz788EOKFy+eIfeXZF8Si8WrYyoZJZj93//+x4EDB5TriWQLg8FAy5YtmT9/PjY2Nq//BiW5jpCQEObNm8f27dsBbTKru7s7n3zyCZ06dUr0tX/99RdffPGF4ovV8SkrKyvy5ctH8+bNKVmyJAUKFMDCwoLQ0FD8/Pw4c+YMT548UfbyIjYuxqDX65XCg507d05V97pHjx5x9uxZLl68yPnz54mJiSE8PJyYmBhcXFyUcbRr1w4PDw8KFy6svFbu37MXBoOBYcOGceTIEU1c09LSkt69ezN69GgcHByUz+zBgwdcv36dhQsXEhQUxNOnTzXdGtRFNNRF1gwGA/b29lSsWJF3332X999/Hzc3NxNBt0SSHGLNuXz5cr7//nulq4Y478mXLx8fffQRvXr1yhZdZIKDg+natSuPHj3SPG5tbc3+/fvx8PDI8jFKsgdJdZxVIzvO5k22bNlCeHg4RYoUoXz58nh5eWFjY2PiO5I7nzQniXWcFXshdcFd0bEe5NovL5NYdznZcVaSk1i+fDnz589X/Ks4ixei2MRQ22e/fv04ceJEkh1n27Zty3fffWfyOknu5t9//2XYsGFER0eb5D7UqVOH2bNnU6xYsQzbz6ivu2vXLnx8fLh8+TJgmnNiZ2dHx44dGTVqFAULFjT7WCR5h/Pnz/PVV19x/fp1s64J1EyYMIEdO3aYdAmFV92VW7Zsafb3Jcm+CN86fPhwjh49qtidhYUF5cuXZ/PmzVhbW2t8YlZ1nAWtb46JieH48eNcvHiRI0eOEB4ezqNHj5RxFCxYECcnJ958803q169PvXr1Er2ORCKRZDVSNCuR5FKSEswK7O3t8fb2plq1akr3zowmJUHk6whnZYfZ3EN67CSnCGfFe/vll1/47LPPlCQikbgRHx+Pl5cXS5YsoUKFCrLCfS4lOwpnly5dysWLF+nWrZv0n9mY3bt3M3HiROWQQp2Q+P777zNhwgTc3Nw01WtTIq2fY2r9kjmEs3Juz/6o58M1a9awevXqbCGc7devH0OGDAHM3y3mjz/+YMaMGQQGBir3Fwlx9erVY/78+fKQRiKR5HqMhbPioEckTDo4ONCxY0cpnM3BiLl3165dfPXVV8THxyvrThsbGzp37szUqVM5ffo0f/75J7t379ZUs1WLX8S/xdxtMBjw9PSkWLFiDBw4kIoVK1KoUCGTe2fWe0xKOGthYaGsNefPn897772X4WOSpMzz588ZOHAgly5d0iTDlilThokTJ9K4ceMMvX9igllR1Ef4QCmczZskFYvP6A6zxoJZsUcTPqx27dr4+vq+5ruT5GaOHj3K3LlzuXHjhknibYsWLZg4cSLFihXTzM/+/v7MmDFDmTfVSbaVK1emRYsWdOrUKcnCbE+fPmXLli38888/nDp1Ckh8TVmwYEHGjx/P+++/n2Q8PrHHRVdZIe6xsbGRwvEcgvg8z549y5gxY5SYObz6XEuUKMHq1avx8vIyOdcMCQnh4sWLbNu2jSNHjhAdHQ2QaGEXSFifCqpUqUKZMmUYMWIErq6ummIpMtYoSYkzZ87Qq1cvAI1ILD4+ngoVKuDr60u+fPmyPFkwLCyMTp06ERgYqDxmZWWFi4sL+/fvV4qrSiSQuHA2MjISSOiSI4WzeQsfHx/lHA+gQIECuLq6UqxYMerXr4+HhweNGjXC1taWfPnyaV6bkSLaxISzxvsxkMJZySukcFaSUzEYDIwfP57du3djbW2t2G7p0qVZs2YN7u7uSdpRcsJZYf9SOJv3EP5twYIFrFixQrEHeLXWc3Z2ZuzYsXzwwQcZnlOs3ift2bOHFStWcP36dcB0f1WwYEEmTJhAmzZtZE6l5LXIKOGssOf79+8zaNAg/P39E80rmjdvHh4eHhn6HiXZi4iICDp16sT9+/c18c6WLVuyaNEi5XnqteGxY8fw9vbWnF+rhbMeHh6KcNbceWqJrVFjY2OJiori0aNHWFpaEhsbq4hm5ZpBIpFkd6SEXyLJhRgn6SR2IOzi4sLVq1cJCQlRAioZjVoM1rJlS/r27atUO9Pr9coGWBx2v3z5kg8//BA/Pz+lInRiSFFNzsHYzhKzu8TspEGDBkDSdtKrVy+uXr2arJ0kRaVKlRgxYgRNmzbF3t5e2Viox6PX61m4cCHLli0DtBXJU4u47tGjR00Es+L3jo6OdO7cmaJFiwLI4E4uRdi46JjQrl073N3dlYMS9cbYwsKC/fv38+mnnxIbG5sqGxf26ejoyLBhw+jYsaOShK62b3H9w4cP06NHDxPBLMguntmJEydOsHjxYuLi4jTJsCJQN2/ePAoUKKAREaaG9Ahmb9y4waxZs5QEiaSuazAYKFSoECNGjKB169a4uLgk6fe3b9/OxIkTgVe+LyYmJskOs3Juzz6o58MBAwYwcOBAJRCn9jc6nY64uDjOnz/PzJkzuXLlima+Twnx3AoVKjBx4kRq166tCMchwZ/Bq44J69atU+bs9KwNjBGvDwwMZPHixQQGBir3s7CwUBIwBg0aJAWzEokkT9CgQQPWrVsHoKxN1IeJL1++ZNeuXWzYsIFbt25l8Wgl6UHM4W3btlUKmYkiPzExMRw5coR///2XunXrMnr0aDZu3Ei7du2oUKECgCJkFPOl+vUWFhYEBgZy4sQJhg8fztixY1m0aBGPHj0iOjpas0bIyFiVutBM3bp1GTJkCM2aNVN+r15rvvfeexoRkSTzEWvOP/74A39/f2WNJ/ZG9evXp3r16hk6hqQEs8JWhA98/vw5O3bswNfXF39//wwdkyR7kJJg1s3NLUMEs6NHj05UMAuvfFiLFi0UwWxa45iSvEPTpk2VwhBi7hY2dfjwYXbv3g28mjeFvztz5gxnz55Vik2KdWDTpk2ZPXs2Q4cOVbqQwCv/qf65QIECDB48mNmzZ9OzZ08ATWEs4U+fPHnC/PnzCQoKSjIen1hXMxE3yp8/P/nz51cEs3Iez/6Iz9PLywsvLy8g4YzE0tKSe/fuMW/ePCVOKDAYDLi5udG8eXMWLlzInDlzGDBgAGC6LhXPV8cYAa5cucLPP/9M//79GT9+PPv37yc8PBxIW/xUkjepU6cObdu21diK8JHXrl3j66+/BrRFBrMCdexc7M/EukWuFXIOmfVZqePqI0eOZMiQIdjb22v27GLODgwMZOnSpfz++++EhYVlyvgkmcu6desUwaytrS0Az5494+bNm/z555/MmTOHTz/9lPbt29OhQwcmTZrEypUr+fvvvwkJCeH58+eAdk4Vtvy6Nm1ra8sHH3zAxIkTlfMaMb/HxcUpa4YxY8awf/9+ZRxybZg3qVmzJtOnT6dcuXJKvFIUALCwsECn07Fz506+/PJLIPVnjOpYwJo1a2jUqJFSYE0dg9TpdPj7+7Nx40a2b99OWFiYtEdJqtDpdEyePJn69esTGxur7MNr165NwYIFk92zqO1z3bp1NGjQQLFPYf/iu7B3714+++wzk9dJch+WlpaEhISwY8cOzecscjBKlCjBu+++mylNeNQxn3bt2tGnTx+KFCkCoDkrErGiZcuWERMTo8SkJJL0UKNGDaZPn0758uXNuiYQ8SdXV1eqVKmivBYS8o7u3LmjnB29bi6TJPsj/NSZM2d4/PixslcRdiGKAQtbUK8NmzRpQt++fZXza2GfItb5+PFjtmzZwubNm5UGF+bCeG0RHx+PtbU1jo6OlCtXjtKlS1OhQgXc3NyUYhwSiUSSnZGiWYkkl5FYko46ACf+e/jwIStWrGDXrl08f/480wJxKQkixWIwtcJZKZjNOaj/5jt37iQoKCjJz8DYTvr06aMRWCdmJ5khnP3xxx/TJZxV2+nQoUMVO1WP09LSktq1a/Pee++ZVF+V5D4ySzibP39+hg4dSocOHZIUzup0Os6fP28imFX/LP1n1uLv78/OnTs1FeBFwlf79u2VeT8jAxDqBPHevXvj7e3N7Nmzla4diZEe4eyECROAV11A/vnnHxPBLEgxd3YjuwpnV69ezcKFC4HXE84K24+NjWXcuHFcvnxZWYeI9QFAr169aNKkSbruIZFIJDkRY+Gs8MlSOJt70Ov1WFlZ0bdvX/Lnz6/MuUL0KuZZe3t7ihUrxvTp05k/fz4DBw6kSJEiJqJGUfVWrNmEzZw7d45FixYxfPhwJkyYwPXr102SKTMqXpWYcPbNN99U5vdFixYpa031eCSZj1jnHTx4kLCwMOVgOC4ujoIFCzJ06FCNnZqb5ASzajtVC2d37twphbN5gNR0mPX19c0QwezBgwcTFczq9XqaN2/O0qVLlddlZVc7SfZF7OVFzEb4MVHsEV7Nhb/99hvwyq7Dw8NZsWIFL1680HSmadWqFd9//z3ly5fHzs4OSPDdooO7+Flcy8vLiylTpjB8+HBlPOJ5okvYgwcPmDJlClFRUamy4+SeI+fxnEOhQoUU0avwq2LNduHCBY4fP648BgmfrbDp1q1bM27cOHx9fenVqxclSpRQYqnCvsVrRGIkvLLPoKAgDh8+zJgxYxg7dizff/89z549U2KgmVHcRZIzqVy5cqLnOzqdjmPHjrFlyxYg63yRwWDg3r17BAUFKY8Jn1y8eHGTM0tJ1rNr1y4mT57Mn3/+yblz5xQ/lFjBiIzySYkJZ+3s7KRwNo9hvOcRBc/EvCvWehYWFjx79oyAgAC2bdvGd999x+DBg+nQoQP9+/dnxowZLFmyhHPnzuHv768pTAraM8602nRSwllRKEMKZyVqkhLOiv1IRglnxZmpFM5K0kN8fDz58uVjyZIlNGjQAL1ej5OTE2+//bby++RISTgr7FMIZz///HOT10lyD8Jejhw5QnBwsDJninwOW1tbxo4di5ubW6aJoNQ5J127dlWKrInfiZiVlZUVfn5+LFy4UOYHSV6bjBLOAjg6OtKrVy9AWyzQ0tKS4OBglixZovxbkrsRn/1///1HVFSUsuYTdiEKAqttIbsIZ9WkFJuXZ1ASiSS7I72URJKLSCxJxzjBMLEKdtu2bctS4WxigkixEU9KOCs2w7ILXc5A/TffsGEDX375JQ8fPkz2NSl1Js4pwtnk7BRQKp95enoyfPhwSpUqlaZxS3IuaRHO6nQ69u/fz/jx45VuXuYUzqo35CAFs9kF4V9OnDjBwYMHlUNekQTx1ltvMWPGDEDbidvcGCeIh4WFYWVlxebNm5kxY4ZZhbM7duxgxowZnDp1ikGDBknBbA4hOwpnw8LCWLVqFXPmzAFezbdpPdQRFUv1ej3Dhg3j1KlTyrwt1qLwKpj+zjvvKEnFEolEkleQwtncjdhzV65cGUdHR2VeFL87c+YMy5cvV55vZ2dHmTJl+OKLL1iwYAGTJk2iYMGCmrla3V1BxG7ENf38/Pjll1/o3bs3n3/+uVLkDTI2kdFYONuvXz8aN27MDz/8QMuWLQG51swu/PXXX/zxxx9AwuGrlZWVUnneOI5jLpISzKrjrmqEDwwLC5MdZ3M5a9eu1cTi1V21Y2NjKVCgQKYIZtXxACGYFbFL9eskEmNEEhjAp59+So0aNZT9riieAa/OnS5fvgy8Kl5w//59jWD2jTfe4Jtvvklz8QJx748++oixY8cqj4l9t/hOXbx4URE3yETyvEPt2rWpX7++krAobDMgIIDDhw8DpuJD49ho7dq1+fzzz/H19aVnz57UrFkTQCk2nFynYoB//vmHZcuW0a9fP77++msuXryoxCXl2lAiEH5p4MCBNGrUSHPeIn5++vQpv/76K+fOncuycep0Op49e6ZZwwo/XKtWLWxtbWWybjZi3bp1jB8/ni1btjBixAh69OhB9+7dGTRoED/88AMHDx7k3LlzmuLpaswpbpHC2bzNxo0blT2P+qxOIPInxLmlOk9HxHyePHmCn58f69ev58cff2TQoEG0b9+eXr16MXnyZHx8fLh+/bqmcLCxTacm70MtnBVnUVI4K0mKxISzQtiaUcJZsaaVwllJej5nde7PkiVLqFKlCnq9XtnjpCZPJDnhrPDnYv+1Z88eKZzNxQh7OXPmDHq93mRNWahQIby8vDTPzaxxifyLoUOH0rNnT01+sIgVAZw6dYpHjx4BMlYkeT0ySjhrMBioUaMG77//vknhVQsLC/z8/Pjrr7+UxyW5mxcvXhAQEABo9RG1atWiZMmSSeZQZjfhrEQikeRkpGhWIsklJFXVXp0Uk1wgLquFs8aCSLHpTqrjbGxsbJIdZkWlaCmqyR6o/+br1q1j+vTpADx48CDF1+Z04WxyglmRcCyqtE2ZMoVatWqlabyS9JOYn8uKIERqhbPiub/++iuTJ09WhLMpCcBSK5xV30cKZrMHIrARFBTEggULCA8PV5JwDQYDNWvWZOzYsdjY2GgEDOYmqQRxwbZt28wunF2/fj19+/bVzO0gBbPZnewonI2OjmbNmjV88cUXmo41qUWn0xESEsLAgQP5559/NIJZsZa2t7enTZs2NGzYME3XlkgkktxCaoSzu3fvlsLZHEyZMmUYPHgwkCAwEHP+qVOnlMM39ePVq1enZ8+e+Pr68tFHH1G7dm1FWCOqgRt39xJJlc+fP+fIkSOMHz+eMWPGMGfOHEJCQoiOjlbuo/6/OVCvUxo0aMC8efNo3bq1ch+51swe3Lx5U1nriQSZuLg4qlSpAmRMAk9yHWYBzfoQtJ3upHA2d/P7778ze/ZsAGxsbEySBy0sLBg6dCilSpXSdDFMDyl1mFWLZ6VgVpJWhP0UKlSIzp074+Hhofg0EVtXJ3GdOnWK2NhY4uLiiI+Pp0SJEgwdOpR8+fKlec5Ux+9HjBih6SwqxiXEZqKzqJyT8w4eHh7Uq1dPWWOqi614e3tz7NixVF3H2tqaAgUK8NVXXzFv3jzGjRtHqVKlsLe3V/yzel2pFmyLRMlr166xY8cOPvzwQyZMmMCWLVsUgRCk3NVJkrtR21CnTp0oUKCAxqbEGvX48eNs2bKFp0+fZvoY4+PjiYmJUTqHG3f/LleuHCATdbML6pwPW1tbZT1348YN/v77b5YuXcro0aPp378/Xbt2pX///qxcuZK9e/cSEBCQYoHV9HzOUjibNzEYDFy+fFkR1Yv8HPG7pGxJiFTVwhaRp2RhYUF0dDSRkZH8999/bNmyhZkzZ9KlSxc6d+7MiBEjmDhxInv37uW///5TumMndgaaWB6IEM5OmjRJI5wFpHBWYkJSwtnXFcnIjrN5m9R8fund14qz+Hz58uHt7c3SpUtxdnZO034kpY6zUjibNzAYDERGRnLlyhWlY7x4HKBZs2aUKFEiS8amLvD25Zdf0qxZM5P8DIBz585x6NAhQMaKJK9PUsLZ1ymmodPpsLGxoW7duooNi+9afHw8T58+5ejRo8pzJbkbR0dH2rRpQ7169YCE8/aqVauSP3/+JG0gvcLZ4ODgzHljEolEkoPQGeRuWyLJ8STVYVaIS1xdXSlRogTnzp3TdKgTiyqDwUCxYsXo2bMnH3zwAU5OTpmWFKi+z8GDB/H29ubkyZNAQkcwtWjGwcEBHx8fqlSpwvHjxxk4cKCJEFEKvrIPxoJZYaeWlpZ88sknShfBlD4XYzvx8fHhxIkTyrXERlRtJxs2bKBSpUrp6uRw9epVfvrpJ44ePUpkZKSywVCPx9LSkjFjxjBs2DAAEzFOUoLZ2NhYk07IS5Ys4a233jJ5r5KMQf033rdvHwDvvfeeye+yYkzPnj1j2bJl7Nmzh+DgYCXopz58tLOz44MPPuDLL79U/GRKycHiOeHh4Sxfvpzdu3crB40i0GNsl9J/Zj3R0dF8++23rF+/XhHMAjg7OzNq1Ci6d++OjY1Nht0/uY5KgCL8B5RDaDs7uySvJ+woKCiIn376id9++41nz56Z2JZ4nlqEKW0zc3mdv6vaJ61Zs4bVq1crYhr1fCqKnNSoUYOJEydSuXLlNN1XPPfatWvMmjWL//77j5iYGJNiA2JMTZo0YeTIkVSoUIF8+fKZrA/E9cT4w8LCuHTpEgsWLODChQsaQYSwTYPBQL9+/ZTgeHqEuRKJRJJbOHHiBP369QO0cQlxwJ0vXz46dOhAr169KFOmTBaPVpJaxPx45coVPvnkE+7du6fM52KdNmXKFHr27JnkawVr167l7NmzSlIiaDvBq5+vXmcCFC9enNq1a9OlSxdq1KihrIHNvRaUa8vsicFgIDw8nA8++IB79+5p4oWNGzdm9erVGXLf5PZDYi0r7PTNN9/kyJEjJuJI4QOdnJzo3LkzH374IcWLF8+Q8Uoylz/++IMVK1Zw5coVoqOjNftXEcdxdnZm8uTJvP/++0D6fExqOsyKpF4pmJW8LiEhIXz99df89ttvShxK+DE3NzemTJnCqlWruHDhghLnbtWqFTNnzsTR0THd91Xvzz/77DP27t0LoFlL2tjYsHLlSqWgpiR3I/zl8+fPGTRoEBcvXlR8q+jEMGDAAD755BNN0mFK1xPcvHmTGzdusHbtWvz8/IiOjtb83rgYBiSsT8U4GjduTLVq1fjwww8pWLCgjAdJAAgODubjjz/m1KlTmgKY6nPMQYMGMWbMGGxtbTNlTCJeGRkZSbdu3bhx44amy03JkiXZsmULTk5OmTIeSfJ4e3sza9YsQBtbATR+UIhbElt/FihQgLJly1KnTh2lAIGFhQVubm6ae6m7u6d2jaqes5csWcKKFSuIjIxUxgAJeyBPT0+GDx/Ou+++i7Oz8+v/cSRZQmxsLN999x07duzgxYsXACa2lxTG59vqx9Tn32KPrxZ9CTvz9PSkePHieHl50bRpU1xdXalZs2aiex21fUZGRrJjxw5mzJhhsn9X5xL9+OOPtGrVCpAxobzMuXPn+Oqrr7hx40aSZ4GdOnVScp1Sm3+k3pcPGDCA48ePp5iv16VLF5ydnaU95lDE5xYbG0tsbCyHDh3i5cuX3Lhxg9DQUJycnHBzc6NAgQI0b94cR0fHdK3BzHEerbbPfv36ceLECY19qs8A2rVrx7fffmvyOknO5s6dO3Tq1Ekpjq+OwUycOJE+ffpkae6D+D4dPnyYmTNn4u/vb3J+VK9ePX744QcKFCiQJWOUmJ+snv/Onz/PV199xfXr15U1gSgOlNY1gfq9iCL9xnsma2trfvrpJ5o0aZI5b1CSJaht4dChQ6xdu5YzZ87g6OjIsmXLqFmzZoq2r/79sWPH8Pb25siRI0DCWbvIdytUqBDdunWje/fuuLu7Z/wblEgkkhyCFM1KJDkcY8GsOHRTC2Z//vlnChYsaBLoEJvb7C6cNRZE5s+fny+++IIpU6YkK0SUoprsw4oVK5g3bx7wqvtCTEwMb731FkuWLEl1UDmtdpKVwtm0CGYXLVpEy5YtTd6jJGNQ/43Xrl3L7NmzqVKlCiNGjMjyzyEtwll3d3f69+/PwIEDNR3EkyMl4ayoEgzSf2Y14m/++PFjhg8frnTiFMHfGjVq8NNPP5kkOZiTlASzYpzqg+auXbsyceLE1xbOqg8K5dye+aj/rqdOnaJ48eJKh+rUktnC2Rs3bvDdd99x8uRJkzlbfahXrlw5mjRpQu/evfHy8kryupcvX2bTpk0cP36cgIAAk0Nycb0uXbowc+ZMIPWH5BKJRJKbSUk46+DgQOfOnenRowdly5bN4tFK0srkyZPZsmWLSWJCsWLFWLhwIRUrVkz0deo5Mjo6mqNHj7J161YuXbrE06dPTZIkBerEYLHf1+l0tG7dmpo1a9KrVy8AJcYlhQq5m6dPn9KlSxeCgoI0iYsdO3Zk9uzZZt8bpKWA0OTJk/nwww9Zvnw5CxYskMLZPMTRo0dZvnw5Z8+e1VT1BpQEBUdHR77++mvatGkDpG0fq05E/N///seBAwc0glnZYVZiToRt+vv706NHD54+faqcNwmf5+LiQnh4uOL/bGxsWLduHbVq1TLb/f/9919mzpypiLrUgsgpU6bQvXv3176XJOcQExPD3LlzNQUFhX91d3dn8+bNycZ3jFGfiep0Os6dO8eAAQNMBF/GHb7Uvlvd9QZedcR99913adq0qdLpQX0vSd7j5s2b9OjRg/DwcM25vXr9OHLkSEaNGpWpscQffviBpUuXKvsu8f/+/fvz6aefKnt3SdaxdetWvvrqKwDNmTKYnpmo/y86w4k1oHEXOE9PT6ytralfvz5eXl5UrlyZihUrkj9/fhwcHDTPNS4smRiJCWejoqIS9ZVSOJuzEZ91bGwsc+bMYffu3RrhrPrcWm2Pxh0PxV5afdatnmuN13wpicPLlSuHm5sb9erVo3z58nh6elK+fHkMBoOmIEFMTAy+vr7MnTuX+Pj4RJsPgBTOSl6RmHA2vSIZNVI4m7eIiYnh9u3brFq1ijt37nDp0iWTvYWgUKFClCxZkj59+tCkSRMlvyIz9xFq++zbty8nT57U5JOqvwtSOJv7uHjxIv369SMmJkYT87axsWHDhg1Urlw5i0f4iufPnzNp0iT279+v2V8ZDAbs7Ozw9vamevXqWTxKibkRc2BW5OCYWzgLsHr1ar777jslv1m9jxswYACffvqpjCPlcoyFs4sXLyYqKooNGzbg6uqa5mtI4axEIpGkHSmalUhyMCkJZt3c3PD19aVkyZLKa/r378+///6b4zvOijFLwWz2Jzw8nObNmxMREaGprFy3bl3Wr1+fpmsZ20l27DgbExODjY1NqgSz0k4zF/XfWO0/ra2tqVKlCgMHDszyQzFj4ezPP/+sJJJDQtIlQIUKFRg+fLiSeJkakhLOqg/SpV1mH5YsWcKPP/4IJFRutre3Z9myZdSvXz/DgmZJJYgL36VGLeYF8wtnpc/MXNR/1zVr1jBnzhx69erFsGHD8PDwSNO1Mls4e/v2bX788UeOHTtGeHi4ScK6OoHDzc2Ndu3aUbZsWUqWLImjoyOhoaFcvHiRO3fusHfvXsXu1Ika6uu8//77SkEQKZiVSCSSBFISzgJ069aNcePGkS9fvqwcqiSViDn97t27DBs2jHv37mkSd+3t7Rk/fjzdu3dPck40nttDQkIIDAxk0aJFXL9+ncDAQCChmnlqus/WqlWLmjVr0rNnT4oVK2aSTCzJXfz222989NFHmiT/uLg4Zs6cSZcuXcy6HktuP2S8/5k0aRK9e/dWXpta4WyvXr0oVqyYWcYryXzUfubIkSOsWLHC7MLZ5DrMqvdaUjArMSfCto4cOcLYsWOJjIw0SbiBhDWeEC16enqabe6Niopi2rRp7Ny506TbbZMmTViyZAlWVlYyiSwPcefOHbp27aqJ9Yi5uEePHkyYMAEbG5tUX0/M8zdv3mTo0KEEBgYq1xVxSHHWlJj9AybjEPGidu3aUa1aNXr06KGMSSY95k327dvHxIkTFT+qPr8X68jhw4czePBg8ufPn+HjOX/+PDNnzuTChQsagSXAhg0bqFOnToaPQZI80dHRbNiwgeXLl/Ps2TNNbkRKGIsPISG3AjARKVpZWeHg4ICHhwf169encOHCNG3aFEdHRwoXLpzoWlJcS/gztW+THWdzH+r9SmqFs+I8r1WrVjg4OBAbG8vJkycJCgpSfKC68LhanG1s62qbFvdQ73/UfhXA3t6ekiVL4uLiwhtvvIG7u7vSaVmn0/Hrr7/y5ZdfKnO6uLbsOCsxxpwiGTVSOJs3OHfuHH/++Se+vr6KnxSxbuPCzOoikfAqv+Kdd95RivBI4awkIxE2uHv3bsaNG2ey7rS0tOTnn3+mTJkyWTzShLHeunWLDz/8kLCwMJPzooEDB/LFF1/IvXcOZtWqVVy8eBEPDw8aN25MoUKFKF68uOYMWT0fZsbcaO41QXBwMF27duXhw4cmsSZnZ2e2bdsmz4vyAGrbPXz4MI6OjtSpUydN/ksKZyUSiST9SNGsRJJDMRbMisMtEdx1dXXF19eXUqVKKSJFEbAwFs7mlI6z6qChcSVKKarJnsTHxxMXF0enTp24deuW5mCjSJEibNu2DRcXlzRdM7sKZ//3v/8xfPhwAI4fP87AgQOlYDab4u3tzaxZs4CEzsc6nY4aNWpkK+FsaGgoixYtYu/evZrgnzpJp0WLFkycOJFixYqlerzGwtm9e/cqSeqy83H2wGAwEB0dzdixYzl69KjmcLpy5cosWbKEwoULZ8i9U9tRSS0kVD8O5hPOSp+ZuSRVWABeHZINHjw42wtn7927x7p169i/fz/BwcGJCl6NBTdWVlbKWlqd6KguSCP8rvjdBx98wIwZMwB5KCiRSCSJYSyc1ev1mnl9yZIlvPXWW1k5xDzL66yjXrx4weeff87hw4dNRCwlSpRg+/btaU741uv1nD9/nv3797Nt2zaio6M1hdIE6q4jYl4Wv3d2dqZt27bUq1eP1q1bZ2kFaknGsWXLFiZPnmzSvUad2GoO0iuYFQXUIGXhrLOzMx06dODDDz/UFDqU5CwyUjibXIdZKZiVZAbh4eEsW7aMtWvXEhsba9IxTNhu3bp18fHxMdt9xffixo0b9O7dm7CwMM3vK1euzI4dO8x2P0n2R/i8WbNmsWHDBgBlfjUYDFSrVo1ly5bh5uaWqgQz8Zzbt28zcOBAHj16pMQ9xX7F2dmZ3r17c/ToUS5cuKC81rijDWjFaepYU5UqVWjVqhUtW7bMFonGkswnMjKSRYsW4ePjQ0xMjEbAqLaX/v37079/fyXWnxFx75cvX/LDDz/g7e2t3F/Y8v/+9z9GjRpl1vtJ0k9oaCi//fYbP/30E48fPzYRvgKJnhMax9nVqLvSiv1IYt1o7e3tsbS0pFq1ahQtWpRy5cpRq1YtHB0dTfYswpeq90CLFy9m5cqVREVFaZ4rhbM5i0ePHiXqj1ISzqrXiTVr1qRz58507dqVly9f8uDBA27dusWpU6d49OgRZ86cwWAw8Pz5c8291XEmIUpIrDuj2kcm1o1W/Ozm5oaDgwOVK1emXLlynDt3jn/++cfkPcuOsxJjpHBWkh727NnDsmXLuH//PjExMUnuHZLbR1SuXJmuXbvSs2dPIPsIZ9ViXymczV388ssvfPrpp5p51MrKChcXF/bu3ZvmXM6MQuSdTpkyhV27dpkUr2rRogVLly7N6mFK0omPjw8zZ85U/m1ra0tsbCylS5emdOnSlCpVijfeeAMnJycqVqyYqG/MqLNAc60JxONr165l3rx56PV6k8KEvXv35osvvkhTUThJzkS9rouOjsbW1va1riGFsxKJRJJ6pGhWIsmBJCaYVQvyXF1d2bhxIyVLltQsyNUBi5wqnFWLF6RgNufw6aef8ssvv2gCgVZWVmzbto2KFSum+XqpsRO1bWSWcHbChAlUr16dbt26KYJZEeSUdpo9EIm2kHAApxZDZRfhrPDJISEhzJ49m99++00R90LCQTPA4MGD+eyzz9I0XrVwdtGiRezatYtp06bx7rvvpuk6kozjwoULdOvWDdAeoowePZrRo0dnyD1T6jCrTqZwcnLi+fPnmkMfcwpnra2tiYmJAaTPzGzUgWk7Ozsl0SW7C2cFjx8/Zt++fWzcuJF79+4pAWz1fYTgRiRhqCuaGxdqUftbR0dHOnfuzJdffgnIDrMSiUSSHGrhrL29vdJxRF2kRZKxqOfRx48fK3P466ynzp07R79+/YiOjtZ02NLr9YwfP56+ffsCpGlPIrh27Rpbtmxh48aNyjjV/1dXkTbu7iXm8XfffZcaNWrQo0cPHBwc0vUeJdmTtWvXMnv2bMXexGduThF+cgWExFo1McGsei0pbDo1HWc//fRTunfvbpaxSzIHY7+VEcLZ7CCYTUwIIcl7XLhwgVmzZnHu3DkT0Y6IUzVt2pQVK1aYdW9sMBgIDQ1l4MCB+Pn5aYpw6nQ69uzZQ8mSJWVsKI9x8OBBJR6qTlQEGDlyJGPGjEnxGokJZo0L/Li4uLB161aKFSuGXq/Hx8eHCxcusG/fPuU66lioQL0+FXO9ra0t0dHR9O7dmzFjxuDk5GTGv4gkJxAcHMx3333H3r17iYuLS7LjbIcOHfjggw+oV68eYH6BxLJly/j+++9N7lu/fn3GjRtHlSpVzHYvyesTGhrKvn37WLZsmYlwViDWmBYWFtjY2GiEqqLQj7rAgHruFs8R/kqg7j4ssLOzw9bWlmrVqlGgQAGaNWuGl5cXJUqUwNXV1WTsixcvZtmyZcTGxmrWuVI4mzNYt24df/zxB8OHD6dRo0ZA2oSz4vkGg4EyZcowYMAA3n33XRwdHTX3efDgAS9fvuTEiRM8ePAAPz8/bty4wcuXL3n58qXyPHXRKuPvQVLicPW5j7E4XOzZE1tDSuGsxJisEM4mla8nhbPZn02bNvHNN98QHR0NaMUqYn4Vn7s6Tqiez8UasUiRIgwYMECJsWfm5y47zuY9khLNurq6sm/fPpM5PKvZtWsX48ePB1Ca7QC4ubmxfv16WZwyB6LOf7e2tlZi6sb7Z3jlW2vWrImLiwsNGjSgZMmSeHl5JVmozFyxSnOuCc6cOcPQoUOJiIgweX9pLQonkajXCEePHsXb25ujR48CUjgrkUgkSSF3LRJJDiOpDrMimOvm5oavr6+JYFb9fCsrK9auXasRzoJ2MeXv768kKmamcFYthlUn0p48eVJ5P2KzLgWz2R/xOYgKZOrubVZWVibV4lNLYnai0+k4ceKEYid6vZ64uDisra15+fIlvXr1SrdwtlKlSowYMQIgUeGsOICZOXOmEshWC83UP0s7zVrc3d1xdHTkxYsXmmQvEQg8f/48q1evBqBVq1YaW8tM1JVwP/vsM548ecLx48eVA0L1gd/KlSupUKEC7dq1S/U4xfXz58/PqFGj+OCDDyhbtiwg7TKrEQEwPz8/AE23A4PBQNWqVTXPMxdpEcyOHz+eKlWq8Pnnn2sSzMQ44+Li2Lp1K0Cywlnx/SpUqJDiY4VwVgpms4YtW7YoglkrKyuio6OVz1R0I0ircFYtIBgwYACAIpxVHwLrdDri4uI4f/48M2fOTLdw1sPDQ/FpCxYs4OLFi5ous3q9PtFkIfFv9TpTLQSvVasWbdu2pVevXoAUzEokEklKNGjQgHXr1tGvX79EBbNyXs9Y1H9fHx8f/vzzT0aOHEndunXTvccRiY/NmzfnwIEDSkKPmFuPHz+uCKVTc32xlo2NjcXa2hoHBwcOHDig6SYi1pnqeVxd9Egcoot7/f777/z+++9s27aN9957j8aNG1O7dm3lnnL+znkIWxJFV8TaTcQHRYK4OfZHlpaW3Lp1i27duhEREWFSCC05wSxo171Dhw4lPj6eRYsWaYTdIqHi+fPn3Lp167XGK8kcNm7cyIsXLxg6dKiJOFrtT5s1awaQqHBWxJ1evHihFHJr06aNiT9WJxqOHj2agwcPKj5L7b8yQzB77NgxFi1axLfffkuxYsXMcm1JzqJ69ep0796dc+fOKXFIMQ8L2xWxG3Oi0+lwc3OjRo0a+Pn5Kd8hkYgWHh4u15B5kJYtW9KpUyd27typ2KFYGx4+fJj3338/2Y6uqRXMbtiwgWLFiimdHvr37098fDzvv/8++/bt4/jx44SEhCjXVSehCVsVZ0Miab5hw4ZSMJtHcXd356OPPiIsLIyjR49qEn/VcfTdu3cTGBhI+/bt6dq1q7LPSs++xXgftnbtWo1gVtirk5MTrVu3loLZbIirqyvvvfcegIlwVny+ouhoxYoV6d69O3/88QdPnjzhxo0bREZGKvsW9b5azKXq+Lc6Ri4KtKsLS0ZFRREVFcXff/+NwWDg559/xmAw4OXlRalSpShZsiQNGzYkX7581K9fn1GjRpEvXz5WrFjB06dPlb2buF5gYKDSBUwKZ7MX3t7eSv6Rk5MTOp2Ohg0bavYrwn9ZW1szbtw4AEU4K+ZZ8fxbt26xbt06DAYD77//Pg4ODspzvLy8AChXrhzwqrtSeHg4jx8/5sSJEwQFBXHs2DGeP3/O48ePARRBgdo+AZNOzOqiGmK9YNyFVm334jUinyQ2NpYxY8Yo8Uu55sy71KhRg+nTp2tEMur5OT4+np07dwLwzTffKN+PlOZudb7emjVrNMJZ0MaY1Pl6UjibfVm9ejVz584FUPyger5Vz4WJFZIW3QaFr3r48CG+vr64urqmKffHHKjt09vbWyOcVb8HCwsL9uzZA8C3336reZ0kZ6GO6Yg5PC4ujpCQEIKCgrKNaFb4vjfffJMSJUoQEBCgxNkBwsLCCA8Pz+JRStKKKJIKCTnvYl8CaNagBoMBvV7PmTNnADh06BDwSjBdtGhRChYsSLNmzXB3d6du3bo4OjqazMnG67/U+ldzrgnq1KlD9+7dWb16tSbGGh8fz8WLF1m7di2ffPKJFMxKUoV6r9a0aVPl8aNHj2rs08LCgqCgILZs2QIghbMSiSRPI3csEkkOwnjDIDYKIojr6uqapGBWkJxwVn3gAtlbOCuC8lKImL0Rn0W1atUAbRXwqKgoLly4QIMGDdL1mSVmJwaDwcROMlM4K4IyapGNtNPsxVtvvcX333/PuHHjePr0qeaATNhMdhPOenh4MHPmTHr27ElQUFCiAsU9e/ZQu3Zt5bAxLdd3dHRUAp7SLrMeEQAT3bNFVyO9Xo+bmxu1atXSPM8cpEUwO3HiRPr06UNMTAxffvkl33zzjSbRTC3oTo9w1tLSkq1btxITEyN9ZhZQpUoVpYuwQP2Z5hThbP78+WnSpAn169dn0qRJ/PPPPwQHB2sSfUFbkVyddCREOMLue/fuTcuWLWnYsKHyN5GCG4lEIkmZBg0aKAlACxculILZTEL99/X29mbWrFnAq47pOp2OOnXqpGuPo9PpcHR0pEmTJuzfv18RAop7Hj58mM2bN9O9e/dUXzc+Ph5ra2tu3brFoEGDePz4sTJXi/Wog4MDL1++VOblxMQJ6vWEWNcuXbqUpUuX8uGHH1K1alXat2+vzN/SBnMO4nMSnYPVXW7gVSdEkVT+usTGxrJ582YiIiIArUA3JcGsQL3uHT58OAA//PCDSYdGnU5HxYoVzTJuScYhilfa29tjb29Pnz59Mkw4K/Yq8KrDbFYKZk+cOMHw4cOJi4tj3LhxzJ07l6JFi5rlHpKcgbDpTp06cevWLVauXKmIvRIT3ZhzfyzsMF++fJrHra2tM0SkK8n+CHts2LAh+/btU+KPwv78/Py4evUqZcqUSXSNl1rBrK+vL6VLl1a6xAosLCx4++23adiwIcHBwSxdupRr165x5coVTddQtZhXxFTVRYMkeZPChQszYcIEpk6dyokTJzQdE9Ui2lOnTnHnzh1OnTrFtGnTsLe3T/O91OuFoKAgNm3axE8//QSgiCYBpRPOhx9+qPxb7o2yFykJZ+HV3uXevXvExMSwePFi4NXe6MWLF5w7d44rV64oXTwBk3i48FvGHTzF89TCW0ARycTFxfHw4UMePHjAsWPH2LBhAzqdjjJlylCwYEEaNmyIm5sbYWFhSgEskMLZ7Iy6YD/AgQMHlDmtQYMGGv+QGuGs2C/duHFDOU9q27Yt9vb2Gn8jnm9tbU2BAgUoUKAAlSpVAmDMmDHo9XrOnj3L3bt3uXbtGhcuXCAyMpKAgABNVy517lNiHRwTOwsyfo7BYFAKusXGxjJ69Gh++OEHWrdubca/tCSnkVXC2aTy9aRwNvuxadMmRTCrLlBhMBhwc3OjUKFC9OjRgwIFClCsWDHi4uI4c+YM/v7++Pr6KvOkiBsJ/3n37l12795NhQoVKF++fKa+p+SEs+qOyIkJZ+XZec7D09MTGxsbZW8Cr+Z6GxsbpRBudkD4PGdnZzw8PLh3757ymIhTqYtbSbI/O3fuVPLfReFS8Zmq14pgui+BhPOasLAw5bMXQtoiRYrg4uJCjRo1qFy5MkWLFlVylkVepHEBy5TmVrEmmDRpEjdu3NCsCYT/S2lNIPxn06ZN2bt3L8HBwcCred/Ozo6oqCiOHDlCv379KFCgQLr/tpK8hRTOSiQSSdqQolmJJIdw/PhxZcNga2urVClWC2Y3btyYrGBWkBuEs+q/gRTVZF9EAlmRIkWABPGXQIhy0vuZpVZgnVnCWTEmsXmXgtnshfi7N2nShNmzZzN+/HiNcFYc2mY34axer8fT05P58+czYsQInj9/rmxsxWHfmTNnuHXrFl5eXmkap3GCr7TL7MPTp0+VIC8kdEQWAUBzJcUmJZhNqaOSjY0Nb775JpaWlsyYMSPZjrM6nY4JEyakSjg7ZMgQoqOjadmyJS1atFDeu7TNjEev11OlShW8vb0ZNGgQT58+TVQMnVOEs3q9HhsbG+bOnat0A9m6daumqIVxdxLhU0Wn7+LFizN06FDeeust5bpCjCORSCSS1NGoUSP++ecf3NzcADmvZzTqv69x4uOhQ4eUua927dpp/hzEtbt168ahQ4f466+/TLp+Hjt2jDZt2igC3eRQCxgGDRqUpIBh9+7dhIaGsnPnTo4cOcKdO3eU8aiTIo27zwKatcuePXto0KAB77zzDiVKlEjTe5dkPSKupN4fATx79gwwT1Eha2trunXrRnR0NJs3byYuLk4Tf0xJMCuwsLBQEm5r1KhB/vz5efnypSbRw8LCQooQszlqHxobG8uiRYuIj4+nX79+aRbOqkUOiQln1YJZ4w6z6k5KmSWY7d+/v5Kwc/bsWT799FPmz5+fpkJtkpyNmFfF/v3WrVv8+eefmu5dtra2FC5cOEPuDQnFEgTivrJ7Td5D2MR7772Ht7c3ly9fVmJIIla1cOFCatWqZeKn0iOYTSrm4+DgQIkSJZg2bRpPnjxh586dHDx4kBs3bigJnuKagCwaJFEoVqwY06ZNY+7cufz555/ExsYqtqs+k3r69Ck///wzN27coGfPnjRo0ECzbzGe94VdqTvwAPz8888cPHiQ/fv3AwkdZuHVd6JDhw6MHz9e+bfsYpM9SU44C68+/7CwML755hvCwsIYPnw41atXB+CNN94AXnUPu3nzJk+ePOGvv/4iODiYS5cuERoaSlRUlFK4BdCsPdWdOdX7L7UvEzYnBDQ3b97kxo0bnDlzRtk/qf2e+gxWCmezD+o9jxAM6PV6/vjjD0XYX7duXc1rzCWcFb7H2AcZDAZsbGywtLSkWbNmyv4qIiKCiIgIzp8/T0hICH///TeBgYHcvXuX8PBw5dxH3FvdZVb4SnF9dUF08Zgxct6WQNLCWbWvNLdwVi1MBCmcza7s2bOHmTNnAqaC2SZNmtCjRw/q16+Pk5OT5nWVK1cGoH379qxZs4bjx48TEhJiIpw9duwYjRo1ynTRrHg/6RHOmjuHRZLxFChQAAsLC6VAmfArkZGRHD16lGrVqmWb/YKwrapVq3Lq1CnF34q1i7+/f1YPUZIGKlasiKenJ0+ePCE2Nlaz/zAWz6r3vQKx7jMu5qfX63ny5AkPHz7k6tWrynWKFy+Og4MDjRs3pmDBgtSpU4eiRYsq+5DE5lTjuVa9JjAWzqZmTSC+Rw0aNKBixYocOXIES0tLLC0tiYqKAmDUqFFSMCtJM4kJZ3U6HUeOHJHCWYlEIjFCZ0gsAiSRSLIdAQEBLFmyhB07dgCvAhU6nS7Nglk16oCFsXBWLV4wGAwUK1aMnj17ZqpwFrSbkIMHD+Lt7a103wMpRMwJiMOyzp07axLE9Ho9LVu25McffwReL8ExOTsRG1F10oKDg0O6hbMAV69e5aeffjIRzqrHYZwgIe00e6D++x89etREOAsJQlWdTkeNGjUYOHAgrVq1Mnl9ZhMTE8Py5ctZvnw5MTExmgrPer2eevXqsWzZMpOkMknOIyIigi5dunD37l1NMLB8+fL8/PPPZrPDtHSYVSeIq/1mTEwMR44cMRHOgrYjU+fOnZUuZ0kh3ld0dLTS0UH6zMxFrP/8/PxMhLOg/Uz79u2bZuGs+h4Aa9asUYSzgMYXi+THGjVqpFs4a3yQc/jwYc6ePctvv/3Gs2fPNB11BbVq1cLT05NBgwbh5uaWIUnAEolEkleR83rGkpRgVp34aG9vT/Xq1fnkk0+oUaNGuu5hMBhYtmwZCxYsMOngbmVlxapVq2jQoEGyn3dqBQwbNmygTJkywKt1Z0REBMuXL+fq1av8+++/yvWMxyEOCcVhoLo73bp162jQoEGa37ska9m3bx+ffPKJptBKfHw8np6e+Pj44OnpaTb/cvv2bdasWcPWrVuVx1IrmDXG19eXr7/+Wvm36DLr7OzMhg0bKF26tFnGLDEvah+q3iO7ubnRv39/hg4dmujr1H7vyJEjiXachQRBoqOjI1OmTKFt27ZA4oJZYWuZLZhVFxnS6/WUL1+exYsXU6xYMbPcU5JzMBgM/PbbbyxcuJDbt28DUL58edq2bat8FzJijbd48WIWLVqk6SwPr0QZ5cuXl2vKPIaIRe7Zs4dp06YRERGhieU7Ojry1Vdf0bZtW5OEMHMIZgXGti663/30008EBwcrnULUHWblHkgiCAoKYuHChezZs4fo6Ggl9q5OChbzrpOTE66urgwfPpwyZcooYsikePToEQEBAaxcuZLz588TGhoKmO6T3n//febNmweQrrNRyevz9OnTNCVCh4aGsm/fvkSFs5DQmWjkyJHKvBwTE4ONjU2i/icoKIiwsDCuXbvG+fPnefz4MadPnyY6OpqIiAjNc4X9qAsPqxPWkyo2rO6ap37M+EzT09OTESNG0KpVKymczQKM40bCV4jPB+Czzz5j8ODBib5e+JDY2FjmzJmjCGfFNSBByFCuXDn69u2baMfZ5FDv/Y334GI/dO/ePW7evMnt27c5fvw4z58/VzosqzuTiZiVuoGA+ruk3vfJTvHZj6xeT50/f14jnFUXAhA21alTJ+U7ldo5Vr2vNxbOquObWZmvJzFFbQ8WFhaKPzEYDLRr147Jkycr3QzV/su44ElgYCC7du3C19eX4OBgZe4UZ/G2trZs2LCBqlWrZsn7VNunsXBWPdfHx8fTqlUrJe9PkjMwGAw8ffqUHj168ODBA01RUoPBwHvvvcf8+fOzepgmrF+/nhkzZmgEiXq9nq+//ppu3bpl9fAkaeD69ev873//4/79+4nuHyBhXyF+Fntm4wI/AuNutOqCu+L3BoOBfPnyYWNjQ5kyZahZsyZFixalcePG2NraUqhQIc01jfPnL1y4oBHOpmVNIK7133//MXr0aMLCwpT1qlx/Sl4X43xob29vjh49CiQUvhbfh0KFCtGtWzcpnJVIJHkOKZqVSHIQDx8+5KeffmLLli3KQt7V1RVfX19KlSqVrgOunCacPXToEMuWLePChQv8+OOP2ULIJkmZmJgY2rdvz927d4GEjWjZsmXZsmWLWUR+KQln1dXoM1I4q74HSMFsdiQ1wll1UDA7CWfPnTvHJ598QmBgoMnheIkSJVi3bp1JEEeS83j+/DkdO3YkMDAQSEiYKVOmjFKx83URc/ytW7fo1auXpsOsulMDpJwgLoSz06dPJygoKFGRpU6nw9fXl1q1apll/JKMI7cJZxMjKiqK0NBQbty4QXR0NBYWFjg5OeHo6EjFihXlfC2RSCSSHEdyglmxFrOxsSE6OpqCBQuyffv2NM/fap49e0a3bt24f/++SUJP48aNmT9/Pi4uLom+Nq0CBhG3Uq8fwsPD+fXXX9m7dy9XrlzhxYsXSjVn431SUvtzSc7i1q1b9O7dmxcvXig2bTAYcHBwYO3atVSvXt2sa7g7d+6wfPlydu7cyZdffkm/fv2A1AtmxfOmTp3Kpk2bNEkaBoOBhg0bsnbtWrOMVWJekkoeFz6uePHibNu2zaRbiCCtwlknJydmzpzJr7/+yr59+zSV8bOqw6yIDQCaogPe3t7Ur1/fLPeV5CxiYmKYPn06W7dupWXLlrRv316Jk5pbdKXX69Hr9YwZM4bDhw9rBDalSpVi+/btSqE1SfYgKRsQ6zF1wYvX5datWwwZMoTAwEATMWD9+vWVbnbCT5pTMGv83tTrgeDgYPz8/NiwYQPt2rVTukPK+JLEmGfPnrF9+3YWL17My5cvNXYsMC4W4OrqSp06dShZsiQNGjTAysoKJycnIiIiuHLlCo8ePeKXX34hLi6O0NBQZV+k3gsaDAa6deumFHORXcCyBlEUd/Xq1SkKodWkRzhrLNJRJ6InJqSNiori2LFjBAQE8N9//3H37l1iY2OJiIjQCGXV+3+17SaVcmbcydNYOOvi4sLYsWPp2rWrtMlMJLG4EWjFpXFxcbRt25bvvvsuyfksM4SzSSHubXyd+Ph4Ll68SFhYGCdPnuTOnTvcv3+fGzduaLqYCdSNCkDmdWR3xGeSFYUfsoNwtmTJknTq1IkePXrIYgNZgMFgICoqiqVLl7J27Vqio6M1n3+7du349ttv03TNoKAgli1bxs6dO4mOjlY+a2ETY8eOZciQIVnW7TMl4aw4bwDYunUr1apVy/QxSl6Pjz76iN9++03xNWKuzJcvH4sXL6Zhw4ZZPUQNmzdvZsqUKZqiqXq9nnnz5vH+++9n9fAkaeTatWuMGTPGRDhrXKRHXdxEoO6Kndy+RG3bIh6vzncSODo6YmtrS506dfDw8KBmzZqULVsWNzc3ChYsqHnu2bNnmTp1qrImED4xtWuCoKAgPv74Y86ePQvI9afEfEjhrEQikSSPFM1KJDmMwMBAli9fzqZNm3BycmLLli1p7jBrTHLC2exSwU59n/379+Pm5kbdunVNfifJnkRFRfHhhx9y5coVTdXkwoULs2PHjiSTadOKsXDWx8eHEydOAGg2p2JDnRHCWXE4BHJjm53JycLZZcuW8f333ytjFOMBmDNnDh06dMiScUnMR0hICF27duXRo0eaKnn29vb8+uuveHh4mOVgJCgoiJ49exIYGJhuwawgKiqKU6dOMWnSJIKCgkxss1ixYmzfvj3JxGJJ9iIp4axItMrJwtnUzvdy3pZIJBJJTiElwSwkdMxwd3fHx8eHUqVKpTvZRsylq1atYsGCBej1es2a1dPTkx9//JGqVaua3ON1O34Zz89BQUE8ePCABQsW8ODBAwICApTfWVpaYmFhIffnuYSwsDA6d+6sVL6HBBFjhw4dmD59OjY2Nma9561bt3j8+DGNGjUC0tZhFhL2dWLM6r1Wly5dmDlzpuzwlc1IquiA8E+urq5s3LiRkiVLJutHkhPOqkUOIu4k7pVdOswKvym7LUkgwU4iIiLYvn07DRo0oEKFCprfmZuYmBi6du3KtWvXNF0kGjVqxOrVq+UcnsUY+z/hl6KjoxXBnoeHh9LpUI05bEZ0loGEQoNCPDFjxgw6d+5s9g6zyZHYfGAsDpNI1Oj1ek6ePMlnn33G06dPATS+znitqxYsCtTJxOqEcbWwUewFnZyc6Nq1K59//rlyf7n+zHzU68xixYoxb968TBXOGmPc7U5NXFwcYWFh3L9/n7NnzxIcHMzx48eJiIjA399f81z1OlYIyNTXVduu+t82NjZKYZYVK1bQtGnTVP8tJK9HUkWCEvvM6tevz9q1a5Odu7NSOKtG2F5i13v+/DkPHjzg8ePHHD58mODgYM6cOUNERIQi9gLZKT67sWrVKi5evIiHhweNGzemUKFCFC9enHz58inPUX9OmfGZZYVwVvhy8T0rVKgQ3t7elChRIkPfq0SLsK8rV64wYMAAwsLCNJ97ixYt+P7777G3t0/zWuvmzZsMHTo00cJAlStXZvPmzVhbW2fUW0uRpISzFhYWylwuY0Y5D+FbFi1axKJFixTbE7ZuaWnJ//73P4YNG5Zlom01Yly//PILn376qcl3Zfbs2XTs2DFLxyhJH4kJZ9X7Yp1OR+vWrSlRogTu7u4cOHCAoKAgHj58SFRUlHId9b5YxIjUa9vExLTiXuo4vMDS0hIbGxtcXV2pWrUqHh4eNG/enIIFC1K6dGmuX7/OxIkTldilQFwzpTXBjh07mDBhAgsWLODdd99VxijXn5LXRQpnJRKJJGlkuT6JJIfh6enJ4MGDsbOzo1u3bq8tmAVt9Z21a9cmKZwF8Pf3Z+PGjQCZKpxVH7AI0RrIDUNOID4+Hjs7OypUqMCVK1eUSl/x8fEEBgZy8+ZN6tSpY5bPUW0n6kONkydPahLT4uLisLa25uXLl/Tq1SvdwtlKlSoxYsQIAEU4Kw5+ZEJu9kZtK02bNmX27Nkmwll1Zbrz58+zevVqAFq1apXkYXJGIoI1zZo1Y926dYSFhWk6KMfFxREeHp5p45FkHI6OjuTPn18jPhCVjl+8eEHhwoXNch+9Xk/ZsmWJiIggLCwMnU6nSYpNrWAWwM7Ojvr161OxYkWCgoI04xaVRmWtnpyDCOZWrFiRVatWmXScFYmGcXFxShePtApn1UHoAQMGACjCWfG4sKG4uDjOnz/PzJkzX1s4m9g8n9i15LwtkUgkkpxAcoJZcSgsxAFubm6KYPZ14kjidbVr1wbQ7LV1Oh2BgYGsXr2a+fPnm1UwC9qiQTqdjkKFClGoUCGWLFnC7du32blzJwcOHCAkJERZs4BMfMwuPH36lAIFCqT5dfHx8Tg7O/POO++wbt06RUAgPt/bt28THh6Om5ubWZN4ypQpQ5kyZZQxpPa64rmiu436+yjsXSTxSMFC9iGpogOJCWZT8qHqmFGzZs0AEu04q+6Soy5amd0EswsXLpQ+NA8jOsHly5ePvn37Ko+rbdXcbN68mWvXrinfFQsLC6ytrWnXrp2S1JPVCZt5EeNYzaFDhwgKCuLAgQM8ffqUFy9eEBwcjI2NDe7u7lhaWlK9enWqVKlCvXr1KF26tEZEm1Z/Ip5ft25dSpYsyb1790xEhqdPn+aDDz7INMEsJB4/kn5SkhyWlpY0atSIjRs3snTpUs6cOaPYs1o8K9YHahEtoKwl1D8L0Y54nljH1KtXj9atW9OrVy/l+XL9mfmo15l2dnb4+/vz0Ucf8cMPP6RaOOvq6qp0sU5MOKvT6YiKimLJkiUADB061CQJXI06CV0g/KxOp6NAgQIUKFCAWrVqAa9EhwDnzp0jICCAy5cvc+HCBcLCwnj8+LGSTyKuqT5fVV8fXq0z1SIbKZjNPBKLGxkXelD7ocjISI3PSQzxOVtbWzNu3DgARTgr7E/Y4o0bN5TzJHMLZxMbo7i/o6MjlSpVolKlSjRv3hx4VYTt2bNnnD9/nqtXr9K4cWO558lG+Pj4aDp2bt68mdjYWEqXLk3p0qUpVaoUb7zxBk5OTlSsWDFRX5cRc16NGjWYPn26Rjgr9kvCJ+/cuROAb775Rvl+pDQOdb7emjVrNMJZQFO0/8svv5SC2SxAp9MRHR3NsmXLNLE+deMRe3t7IO2xvrJly/LJJ5/w2WefKQVT4JVdBAQEcPXq1TQV2jA3avv09vZWhLMCGTPKmQif2b59e3x8fJRcISEkjIuLY+XKlbz77rspFg/MDMT9RR6SwNLSEmtra4oVK5ZFI5O8LhUqVODHH39UhLPq2BO8Ws/9888/FC5cmDZt2tCrVy/i4+O5fPkyd+/e5ebNm5w+fZqIiAiuXbum2X+INag6/x1QYvDiMXVuvFq0GxkZSWRkJIGBgQBs3LgRvV5P5cqVKVSoECVKlOD69eua95PSmkB0vG3UqBE7d+6kUqVKypik/5SYA+N8aPHYkSNHNPZpYWFBUFAQ27dvJyYmht69e5t0VZZIJJLchhTNSiQ5kKJFi/L555+nOsiWGlISzqoDjVkpnE3NY5LshbCbIkWKACjBQ2G/z58/N+vnaCycFYGdEydOaBb/sbGxZhXOWlpa8uuvvwIyITenkBrhrPB98fHxWS6cFd+lSpUqUahQIUJCQkzuLao8S7vL+YgKtcKHiX/7+flRrlw5s3RB8PT0ZPLkycyfP5/Dhw8TGRmZLsGswNbW1mRM4vtTq1YtnJ2d0z1eSeaTm4Wzxkh/KZFIJJKcSEqCWfGzEHv5+vqapfCaoFatWgwYMIBly5YpCd1i7j558iR///03b7zxhkYEZi4Bg3Fib758+ahWrRrVqlWjbdu2+Pn5sXDhQl68eMG8efPk/jwbsHz5cpYvX87q1avTnOgl9iLly5fHYDBoEsgALl68yNq1a/nkk08yTESVluuK5x48eFApbCW+H3q9HhcXFwoWLCjtMRuRlg6zqfWhaRXOJiaYbdasWaYKZo3fN8iigJJXJGbzGWULwcHBSgKuOEMQBTArVqwIpM0nS8yHSKbauXMnp06d4u+//9b8XvjP+Ph4AgIC0Ov13L59m127duHm5oaXlxfDhg2jePHilC9fPs02JJ5fsWJF6tevz927dzVJvXq9np9//plq1aqxevXqTBHMSiSvQ/HixRk/fjyXL1/G29ubv/76S1kPqPd0QhSpFrepO9CK34vvgRDM9u3blzZt2iiiR2nzWYPxOjM6OhorKysCAwOzXDhrjLFAW732c3R01Kxr4ZVNhYWFcfr0aZ48ecKRI0cIDg4mICCAsLAwxRbVIlpra2ulI5QU2WQuSe151N2w1IXK4NWZc3BwMIUKFcoRwlljxJiN35dOp6NgwYIUKlSIChUqaF4jbTHrUduqtbW1ch4ZHx/PnTt3uHnzJvDKD1paWlKzZk1cXFxo0KABJUuWxMvLizJlyiQ655ljLsxs4aydnZ3iN2UOUtYSHR2t5OKIuI5er6dUqVJKccn0YDAYqFKlCiVKlOD+/ftK4YK4uDieP3/OtWvXslQ0C6bC2W7dunHhwgVpkzkcg8GAq6sr1apV49ixY5oGKFZWVrx48YIlS5YwceLELM/zEXP6/fv3gYS9UVxcHPnz58fLyysrhyd5TZITzlpaWvLs2TM2b96MXq+nW7dulClTRjkPBIiNjSU2NpbLly8TFhbGP//8w71797hz5w6BgYFK3rvYl0BCx031fgpQzjrFXkZd0E/4uKtXr3LlyhVNLhMk+MHk1gTClxYpUkTJo5b+U2JuEhPOAibCWRsbGwIDA9myZQsdOnSQolmJRJLrkaJZiSSHIoJq5jzgSk44C2QL4awk5yHsQnQTMa5ee+3aNd566y2zHtiqF/9vv/22Mo6M7Dg7ePBgoqOj6dKli+ae8juRvUmNcFYEQLKDcDYmJgYbGxs8PT25evWqMi6RQBEdHa28L0nORCSrli5dWgm0iQNBg8HAP//8Q7t27czSBcFgMFC0aFElufy3334jLi4uXYJZeBWkPn/+vOYe4rDdXN1xJZlLXhLOSiQSiUSSk0hOMCsOc0WXwIwQzIr716lThwIFChAaGgqgrP2Cg4M5c+YMb7zxhnLwnFEdv8TfQawbateuTe3atXnjjTeIjIxUBDZyzZB1rFu3jvnz5wPw6aefMm/evHQle7Vq1Yrt27dz5swZAEVQEBcXx2+//UaDBg144403zDr29HLmzBn+/PNPICEBQ+zb27RpQ8mSJbNwdBI1KXXpfh0fml7hbHx8PC1btmTRokVA5nWYlYJZyeuithNRsNL48ZTYtGkTBw4cALTdEocPH07lypUzYNSS1ODv78/p06eZN28ewcHByuOWlpZKQqDwn2oBn+hQ8/z5c0JCQvjss8+wtbVl06ZNlCpVKs3jED6sf//+nDhxQunOqY5PzZo1SxHuCP8pBbOS7IqTkxONGjWiUaNG/Pzzz5w5c4bNmzcr+yph16KgJiTEUkWhTfF7vV6Pq6srZcuWZcCAATRv3lwjfpQ2n/kktVcXPis7CmfVqOdu43lc+FE3NzdatWoFQM+ePQG4ceMGDx8+5NatW5w8eZLQ0FAuXLigzBUg15mZTVK2KOZIOzs7LCwsePnypfIanU6n7BFSYzvZVTirRn198Z6M7yttMWtZu3Yts2fPBhLsUy1cEZ+XmBf1er0SIzp06BAAbm5uFC1alIIFC9KsWTPc3d2pW7cujo6OJnNhYkKX1JBZwtnBgwdz7NgxQApmswN//PEHV65cUf4t1mq9evXC0dEx3Z+LTqdThLf37t1THhf28PDhQ+V+Wfm5q+1zy5YtnD59mrp162aLsUnSh06nw9HRkQ4dOnDs2DHi4uKUWKVYs509e5Z///2Xd955J0sLmAkfGhAQYFI8q2TJkri6uqZrvSvJPiQlnBXnixEREWzfvh0LCwt69OihdF0X609ra2vq1asHoMyXISEh3Llzh4CAAI4ePUpoaCiXLl0iJiaGyMhI5fWA0lTKeF0g9lnq/VZia0d1F1vxfDH+nTt3YmVlxfTp07GyspLrT0mmkJhw1mAwcPToUfR6Pba2tkqO8ZQpUyhdunRWDlcikUgyBSmalUgkGqRwVmJuhD1UrlwZe3t7YmJiNMmCohqkuQ9sjYWzYmOqFs6KqsvmEM5WqVKFuXPnkj9/fkAGBnMSqRXOCpvJSuGssEnx/TEem0hGk+Rc1D5z7969ymctHj9//jwBAQEULVrULPcSwtmxY8cSHh5OixYt6NGjB5A2wSzAs2fPlOCi8LlWVlaaAKX0jTkPKZyVSCQSiSR7kVKHWbXoyc3NzeyCWUhYmzZr1ozq1avz559/KutGsTdZvnw5TZo0oXbt2hkmmFWjXrcaDAbl0Fz8W64Vsga1jdrZ2eHv75/mxHCBvb09ZcqU4cyZMyYFpPz9/Tl8+DA1atRQ4jJZgbC1S5cu8fTpUyAhocLKygobGxsaNGigea4k60hN0YG0dpg1JiXhrLHIQYylXbt2AIoQxhzIDrOSjEbYyalTp7h37x4VK1akatWqScZOjeNOa9euVcTi6u9kzZo1ady4cSa9C4kxf/31Fzt27ODvv/8mPDxc+WzEXAzazm3iZ0jo0CESD6OionjzzTfT3blA2EvBggUpU6YM9+7dU9aexveSgllJTkH4x/bt29O+fXs6derEf//9x2+//Ya/vz8hISGajrLqsyFB+fLl8fLyolevXpQuXZpChQpp7iHn8cxn27Ztia4zAUWIkBOEs0mRlB+1sLCgQoUKVKhQgRYtWjBw4EAArly5wrNnzzh27BhNmjRRih3JdWbGk1SHWTFHuru7s2TJEr7++msuXbqk6TgcFRXFkydPUl0UNycIZ42R9pd92LlzpyKYVe9TQVswD9B0shaIQhJhYWGEhIQACULaIkWK4OLiQo0aNahcuTJFixZVutM5OjpqriXWkCnZoxDOTpo0iRs3bmiEsyL2+brC2ZUrV9K7d2969OghBbPZgGfPngEJMfj4+HhsbW1xd3cH0u9PhF3UqlWLnTt3avY3AJcuXVIKr2U1avuUgtmcj/js3nzzTVq0aMHhw4c1ewydTkdAQAA+Pj7UrVuXAgUKZNl+WhRlPXXqlEaUCNCgQQNsbW0zfUwS85OScDY8PJytW7cCKMLZ5DrLu7i4UKdOHerUqUOHDh0AuH37NuHh4Zw9e5abN29y//59xc+q92yQsLYQey1jIS1o42Hqx8SeT6wPtm7dSmRkJN999530mZJMI6mOs3///bcimJWFWSQSSV5CimYlEokJUjgryQjs7e01wT1hI+rK5OZGvfgXC3zApOOsqHz/usJZdWKm/A7kLFIjnBWBmKwUzgp7DA8PB0wDMLLyU85H2FHVqlWxsbFREsFFYO327dtcvXrVLKJZSLD9YsWK8d133yl+LC0JFAaDgbi4OLZu3crLly+V74lIUHNxcaFcuXLK/SQ5D2Ph7ODBgwkODk5SOGswGBg8eLBJglZq7iGFsxKJRCKRJE1KHWbN1R0xNYj5eeDAgVy8eJHg4GBNpy94lRibP39+hg4dmqGCWWOM1wRyjZA1GNtodHR0uhPDRbGooUOHcuzYMQIDAzXJvHq9Hl9fX2rVqsV7772XZZXldTodfn5+/Pjjj8qY1eKdChUqKMJJaZdZS2b60NR0nFWLHOLi4vjqq6+IjY2lbdu2wOsnLCQnmBV/AymYlZgDIYD466+/qFq1Km3atKFPnz5KXFWN8NOXLl3il19+Yc2aNYC2u4OtrS2tW7dWktolmcuuXbuYN28eISEhmkKkFhYWSqKgeAzQdNgSsUyBTqejYMGCvPPOO69d4MLR0ZEhQ4Zw9OhRYmNjTTp3A1IwK8kxGM+zNWvWpGbNmgwYMIAbN25w8+ZNHj9+zKVLl5T5PC4uDkdHR6pUqYKbmxuNGjXK0sIxElP8/PwAsLGxUTolqn1ibhDOGmN8XfW9qlSpAkDjxo3T1dVRkj5SKrTm6urKmjVrKFeunFL0Sczv4lzS398/TeuwnCiclWQPKlasiKenJ0+ePFHWd8YFpoz9h9qvir2teI26EPmTJ094+PAhV69eVa5TvHhxHBwcaNy4MQULFqROnToULVoUZ2dnzb3UGNunuuOssXBW3V0O0i+cXb9+vXLvpMYlyViE7zx79qzmcbG/KVKkyGtdX9hDrVq1sLGxISYmRrk+QGRkZLbaw4i4v0DaZNaRlD8RflCdW5EY4vH8+fPTuHFjDh8+bLK31ul0nD59mmnTpvHjjz+m2o+ZE3G/CxcuAGjOmKytralTpw4g15a5hfQIZ40R9in2IiLGqNPplJxKse+KjY3l0aNHPHv2jCNHjhAUFMTJkycJCQnh5cuXyusNBoNyPZ0uodOxWI8Yx78EFhYWSsy9RYsW5vxTSSSpwjgf2sLCgujoaE6ePMmPP/4oBbMSiSRPoTOoZ2yJRCJRIQJxAAMGDOD48eNKwoI6ECnENj179pTCWUmShIWF0b17dwICAjSVkJ2dnfnll19wc3PLsIM6tT0ePHgQb29vTp48CaBJ6hCdJBwcHNItnJXkbNS2cvToURPhLKAJftSoUYOBAwfSqlUrk9dn1PguXbpE//79lQCNeBxg3rx5vP/++xl2f0nmERcXR6dOnbhx44YmGTwuLo7KlSuzcOFCvLy8MuTeabFj9XP79OnDqVOnTMbbtWtXpk+fnmWJ6xLzIT5DPz8/E+EsJHzm8Moe0iqcVd8DYM2aNYpwFtD4YoPBgJWVFTVq1JDCWYlEIpHkCVISzIJ5uyOmlsePHzN8+HCuXLmiScKMj4+nSJEixMTEaLrUSwFD3iApG9XpdMqa0dPTM83C2ZcvX/L999+zadMmpbiVWBfGxcVhbW3Nhg0bqF69epasDUNCQpg/fz47duxQBA0ifurs7My0adNo3bq13BtlMVnlQ41jTitWrODMmTOahFqRwBMfH4+joyPTpk1TBBHptWkpmJWkh8T8VErfh6CgILy9vdmwYQNRUVFK3L1JkyaUK1eO9957DwcHB/Lnz094eDhPnz5l9+7dXL16lStXrgAoXZ2Ej+/RowdTp05NckySjGPDhg1Mnz5d+bcQY4l5XPgtLy8vpVCETqdTClsIkRgk+JlOnTop/vd1MBgMREREMGHCBA4cOGCSrCh8u4uLC+vXr6ds2bJyvSnJUaTXXqWfzD6Eh4fTu3dv/Pz8TNZTxgnV6d0fAYSGhrJv375EhbPiXnZ2dowcOZKhQ4cC0k7yCmnZ88TExNCjRw+uXLliMpdOnz6drl27pvn+wo/FxsYyZ84cRTgLWgEDQLly5ejbt68Uzkq4fv06//vf/7h//74iTjFOaVWLVtSiLmFPxs837karjluK3xsMBvLly4eNjQ1lypShZs2aFC1alMaNG2Nra2tyzqku9GswGLhw4YJGOKsuxi7iVup1sFyX5kzGjh3L77//rhFsu7i4sGPHDjw9PV/r2vHx8Tx48ICuXbvy7NkzjV0XL16cHTt2YGdnZyJYleQtjOdHkdMbHR1NaGgoFhYWeHh4EBMTg42Njea1Sa3/1NccOHAg//zzj2Y9qW4w0bNnT6ZMmQJknh9Tj693796cPn1a8/2oUqUKW7dulWvbXMi1a9cU4ax6TSDiP/nz56dr165JCmdTQi3GNbaf8PBwwsPDuXLlCleuXOHBgwecPn2amJgYgoKCNM9VF7oQcz6gxN9FzF1085TrXAmkL+7+uqht78iRIzg6OlKrVi2T30kkEkluRu6mJBJJkqgX9mvWrElSOAuy46wkZZydnXF1deXu3bvKY6KiUmRkZIYGMTK746wkc1CL91Pja1Lz/OzccVZc99atW0RERCjjhVeHPAULFqRSpUpmv68k8xE+p0GDBsoBW1xcnCJMfPjwIf/99x9eXl4ZkuCQFvsVz920aROnTp1SHhPdZyGhSp8MVud81B1nV65cmWzHWR8fHwDZcVYikUgkEjOQ1g6zmSWYNRgMeHh4MHz4cMaMGaMRCFpaWvLw4UNlnFIwm3fYtm1bosm58HodlXQ6Hfny5aNt27bs2LGDly9fmqxDY2NjGTduHN9//z0VK1bM9LXh2bNn+eeffzRxU7Gf8/LyUvbscm+UdWSlDzWOOQmEcFadUGthYcGLFy+UZLT33nsvXTGnpASzQswmBbOSxFDHmjZs2MCjR4/49NNPk+0oEhMTw4EDB1i/fr3SWVwkih07doxjx46xadMmrKyscHR05NmzZxgMBiIjIzXCSnWxzbZt2yqCWbleyFxWr17N3LlzgYQOHeq5rWjRonTr1o0yZcpQrVo1bGxslGIRd+7cISQkhG3bthEUFISfnx+xsbFUqFCBSZMmKdd6nblQp9ORP39+3njjDfbv368UH1DHixwcHNi1axeFCxfWFAiWSHICifk747k5sblarjGzB/Hx8dja2tKiRQtu3rwJoKw5QbsmzI0dZyVZT2r2PL6+vsqex8rKCltbW8BUcHjnzh0g7Wsx2XFWkh7Kly+faHc5dQc3IZQS+1q1zarz28S+AhLsWh2fglfzprhedHQ0ERERnD59mtOnTwPg6OiIra0tderUwcPDg5o1a1K2bFnc3NwoWLCgItyqWbMm06ZNY+rUqVy/fl0pJqPe56en46wke6AWZ0PCPC7sJzo6WvO89CDEjkWKFOHZs2fK9QCioqKU50jyJsb5EYcOHSIoKIgDBw7w9OlTXrx4QXBwMDY2Nri7u2NpaUn16tWpUqUK9erVo3Tp0hoRrdpW1b7qiy++4JNPPuH27dua3Dhh61u3bsXFxYWxY8cqvi2j7VKM08fHh//++08pTADg4OBA586dFRGl9Km5C3N0nE0OYbtqGxbfDXt7e/Lnz0/hwoV56623gFfFUmNjYzl16hSPHz/m5MmTSvxLrG/VYnNRPAZexdzVucqSvE164u7mQB2HaNasmfK43HdJJJK8hDwhkkiyELHoyM6bNymclZgDYePOzs5AQjUyCwsLIiMjuXnzJsWKFctQe0mtcFZ0JpHC2eyLcWA6Pj6ewMBAnj59yr1794iJiSEmJoZ8+fJhb29P2bJlyZ8/vyLaEq9Lyt6yq3BWp9Nx9+5dFi5cCCRU9xfzSJEiRShevLhZ7ynJGoSvad26NRs2bFC6Nwi/GRoayurVq3nzzTfJly9flvong8FATEwM58+fR6fTaTo76HQ6qlevriTdSnIHUjgrkUgkEknmkpxgViSAZYVgFhL2VlWrVqV27dr8999/ynpQ3d1GCmbzFn5+fgDY2Ngowjx1EuPrJobXrFmTMWPGMHv2bOLi4pS9udiH3Llzh6lTpzJjxgzKli2b4WtDYccPHjxgyZIlBAYGavZvIilzxIgR6ap6LjEfaU0ezwj/lJJwVp0QrBbO6nQ62rRpk6aYU3IdZqVgVpIUxok7otOovb09I0eOTDKB548//mDmzJlKZzK9Xm/SCSIqKkrpECpiqyJ+pPaXAF27dlXuLdcLmcumTZsUwawQP4uzwGrVqvHOO+/QqVMnChYsmOjr3dzcAGjatCnR0dH4+Phw4cIF2rRpg4ODg1kSa4Wf6t69O4cOHeLIkSMmnRuLFClCTEwM8fHxUjAryRUYz81yrs6+CDFg27Zt8fX15fnz5ybFUcR6T72XkcJZiTlIqsNsUnEjQYECBQA0NgkoxdDSsxZTC2fHjx+PTqdj165dJsJZg8EghbMShaREMmp7sLCw4J133qFEiRK4u7tz4MABgoKCePjwIXFxcYrdqwv7iXwK9Z5aHbsU+2S1f3z58iUvXrzg999/B8DX1xcbGxtcXV2pWrUqHh4eNG/enIIFC1K1alVmzZrFxIkTuXbtmqYTorimFM7mTIS9iH2OEO0ZDAZCQ0PZv38/w4YNe21/JexP3FM8ZmVlpRQpkuRNLCwsCAoKYufOnZw6dYq///5b83sx38fHxxMQEIBer+f27dvs2rULNzc3vLy8GDZsGMWLF6d8+fImtir8UMmSJenSpQsrVqxQOh5DQmf4uLg4NmzYgK2tLcOHD880serNmzf566+/FB8uClQ6OTlRv359zXuQ5C4yWjhrjLppCWgbs4g5oG3btgD0798fvV5PQEAA58+fJzAwkKNHjxIREcGdO3dMOsyqryfJu6Q37m4uksqRlkgkkryCPCWSSLKIQ4cOERMTQ/PmzXFwcFAez44LZGPhbP/+/fn3338V4ax6QSeFszkfdZDYOJibXsRivk6dOhw+fFi5pkieuXfvHpDxC3EpnM35iM8vMjKSBw8esHPnTm7cuMHZs2eJi4tTKi2qcXZ2xtramrfeeouyZcvStm1bnJ2dk61+Zw7hrLkPnF++fMnvv/9OaGioRphoMBiwt7enS5cuil+WQfPcQZ06dWjXrh0///yz5nFLS0uuXLnC119/zZw5c5TDmayYa3U6HWfPnmXXrl3KAZFaPFuqVCmcnJwyfVySjEUKZyUSiUQiyRxSEsyqOwZmhtgrKTw9PWncuDFnz5416fQlxDNCMLthwwYpmM3lfPTRR5w+fRo/Pz9N1XpISPpKr3BW2NW7777LhQsX2Ldvn8bmBJcuXWLatGl89dVXlC9fPsPWhsKOY2JiGD9+PFeuXNHsz0SicZ8+fWQxoSwmO3XpTk/H2cmTJwOkWjgrO8xK0kNSiTtWVlYsWrSI+Ph4Ro8enWhMVSRR2tjYEBMTo7Fj8Xv12kD9GrVgtkCBAnTp0oVPPvkEQHYIzWR+/vlnZsyYAZgKZlu1asXo0aMpUaIEtra2ycagDQYDdnZ22NnZMXr0aB49eoSTk5OmEObrIOzIYDBQq1Ytjhw5osTpxf3v3bvHyZMnKV68uIyXSySSTMdgMFC2bFlGjRrFnDlzNIVGCxQogLu7O1evXtXE0aVwVvK6vM6ep0iRIppribk2LCzstcYk5mcrKyul46yxcFbcSwpnJYLkhLPwah/xzz//ULhwYdq0aUOvXr2Ij4/n8uXL3L17l5s3b3L69GkiIiK4du2aRiAufJ+6SQSgrC3FY+r9i3iNyFGJjIwkMDAQgI0bN6LX66lcuTKFChWiRIkSXL9+XfN+ZMfZnI2YJytXrgygxFWE77p27RoxMTHY2Ni8drfZ/PnzA9o4alRUFJGRkVhbW0t/mAfx9/fn9OnTzJs3j+DgYOVxdTEAsc5Ux1hEnOX58+eEhITw2WefYWtry6ZNmyhVqlSi97Kzs6NNmzZcvHiRgwcPKusISFgXPH/+HB8fH3Q6HcOGDcswP6aOH+3YsYNjx44p71vEj0aPHk25cuXMel9J9iOzhbNqjM+21Iiu96VKlVK+U4MHD8ZgMHDx4kWePHmCg4MDzZs3B2TMXfJ6cXeJRCKRmAfpWSWSLGDt2rWMGjWKL7/8kl69erF7926uXr0KJCy01YG77IC6EuXatWtp2LCh0vlOnQyp0+kU4ey2bdt4/vy5SUcJSfZFvUkLCwvTVGsUv1c/N624u7sD2oQYnU6nCe5kNGp7bNmyJX379lWqj6kTLWNjYzXCWT8/P03ihSRriI2N5fLly3z88ceMHj2aVatWceTIEcLDwzU+ydraGktLSywsLIiIiCA4OJitW7cya9YsRo8ezdSpU/H39092k6m2FSGcLVCggHIoAiiBGIPBoAhn9+/fDyQcurwuYgzXr19n9+7dvHz5UhmfuLezs7NyeC43zrkHnU5HrVq1AG1BA/Hz4cOHWbt2rfLcrJhrAwICWLBggSKGEGPQ6/V4enoyYsQIkwR2Se7AWDjr7u6udPqChI5yAD4+PqxcuZKgoKB03QNgwIABDBw4UOlkovbFxsLZK1euyPWnRCKRSHI8aRHMurm5sXHjRkqVKpXpyVZivu3duzfVqlVTHlNXxBfJmevXr6dMmTIyISwXEx8fj62tLS1atMDKykrZswqME22ME8MvXLiQ7PXF64sUKcJ7771H2bJlAUzuERcXx5kzZxg3blyGrg0tLS2JjY1l2LBhnDp1StNtQqxjq1evzttvv232e0tST3YSzAqMY05DhgyhTp06SuxRnSCpFs7++uuvJq83Rgpmcw7GSdrqOGJm72eTStyxtrZWOsgvX76c7777DjCNP7733nv4+PjQvHlz3NzcNHF2kcwpEPFb8Xtx7tSmTRu++OILRTCrjitIMp6zZ8+yYsUKJcauFgt06NCB7777jvLly2NrawskH4M2LpZRuHBhTfFgcyAEDD179qRYsWKahF6RSLt48WIePXok4+USiSTTEf6oWrVqihhR7BVevHhBhw4dGDZsGJBQICI9+yM1Qjg7bNgwPDw8lLlYPSYhnF2xYgVgvnNMSdaTmj1PcoXWrK2tgYRzFzGH37lzh5cvX75WfoSxcLZjx444Ojoq94OEdYUQzu7du5fIyEh5zpOHESKZ4sWLawr+wyubevbsGZs3b2bZsmXcunULCwsLqlWrRrt27fj4449Zu3Ytvr6+eHt7s2jRIj788EPeeOMNpbivaA4BCWtW8b0w/n4I+xf7FpHjpN7nXL16lT///JODBw+a5FQJYZt43c6dO/nyyy+Ve4nrSrI35cqVI1++fCb723379in5QemNqYg8C3t7+0Svo+4ALsndqP3HX3/9xXfffcfMmTOV4uWQsH4TZ0TG4n+xplT7zqioKBo3bqzkWSSFp6cnI0eOpEyZMsq9xLXFz0+fPmXlypX88MMPABmSRym+A6tXr1aaV6jzltu2basUIpTrhNxPUmsCY+Hspk2blKY9GY1xvFLE321tbalbty5t2rSRgtksJjfF3SUSiURiHqR3lUgymXXr1jF79mzg1QLs6tWrTJ06lQEDBrB48WKOHz8OmAbisgPJCWfVFe6lcDZnot6krV27lrfffpuhQ4cybdo0Nm3axMWLF7l165YSQDbe0CUWWDamSpUq2NnZYWVlpRF/XbhwgdjY2EyzkcSEsw0aNAASKj2KJEshnO3YsSOXL1/Olt/N3IzaJi5fvszy5csZMGAAhw8f5u7duwCaz0tsdGNjYxX7EgeD4nlnz55l69at/P777ynePz3C2RUrVrBv3z7g9Q+cRTAzNDSU2bNnc/v2beVe6i4MI0aMoHz58um+jyT7IeyuZ8+evP3225ouruLnsLAw9u7dy6FDh4DMF85GR0fz559/cufOHSDh0FD4ySZNmlCgQAFlbJLchxTOSiQSiUSSMSQnmBX7nozoMGucpJWapC0xTgcHB6pWrQqgSR4ScaLJkydTtmxZpfucJHciili1bdsWBwcHzdpQbddCRJWexHB1POe9995T1pvqPYeIOV29epXhw4dz8uRJze/NtUYMCgpi4MCBHD9+XCOYFXbv6OhI+/btadiwoVnuJ0k7iRUdED+b24emNUEsOeGsOpEiLcJZKZjN3hjHzsW5CiQIAAWZWVw1uUr3wl5EB9nt27cTGhqqeb14P3Xr1mXixIn88MMP1K1bFzc3N+DVekL93kUykF6vx83NjfLly/PNN98wadIkOnTooIxJrhcyjydPnrB3714luVDEYgwGA+3atWPOnDlK56S0kNF+Ra/X4+LiQrdu3bCxsVH8ouge9uzZM/766y+A14rRSyQSSXqpXbs2rVq1AlD2RlFRUaxcuZJu3boxatQo5XeZKZxdvHixFM7mIlJbJCi5Qmuenp4ASuEMMedHR0ebZV2WWuGsTqeTwlmJQkoimYiICLZv3862bds0Ihm9Xo+1tTUODg7Uq1ePli1bMnnyZFatWsW2bdvYsGED33zzDW3btqVx48Y4Oztjb2+vCNDE/0VOk/G+Td2NVt1J3LgjnVqoAQn7LiGc/eqrrwBT4Y0ke1K9enUqVaqkESqKz27evHmcPn063dcWdhUdHQ1o9y4ODg44OjpKO8kDqGNzu3btYtKkSRw8eJDw8HBlHlXn56rXeOJnY1E3vLIvDw8P3nnnHaWbcXJjKF++PNOmTcPV1VWzblDf88WLFyxdupSJEycq9zU33t7efPvtt4A2pluiRAlat26tFEGQ8cy8QXYUzqpRrwMS+50k48mtcXeJRCKRmA+dQUaXJJJMI7EkHbXoCsDNzY0aNWrQu3dvSpcurVQfFc/JDpVExMENQP/+/fn333+xsrJSRJPqYHqxYsXo2bMnH3zwAU5OTjIBJ5ui/ly8vb2ZNWsWoE2+srKywtbWlooVK5I/f36qVatG6dKlKVSoEFWrVkWn02FjY6O5rgigiOuHh4fTunVrgoODNdeuUqUKmzdvzvRAn/p9Hzx4EG9vb06ePAkkHN6IxDKAJUuW8NZbb2XqGPMy6s9n3759rFmzhhs3bhAVFaUJiqltSfhI40q4AhE0adCgAZMnT1Yq5KVlLEePHmX8+PE8ffpU00FTHZgpX748AwYMoGPHjgDpSrxUf3/69+/PiRMnNF16xLzRunVrvvzySyUoKMk9iDn133//5auvvsLf39/kUA5eiVOHDh2qdM3O6LlWjOvSpUuMHz+emzdvarqHiAN5Hx8f6tatm2HjkJiSVessYRN+fn4MHjxYqXaqFlIL0U2fPn0YPHhwmn2Weh28Zs0aVq9ezZMnTwA0vlgcUtauXZsvvvhCEe9IJBKJRJJTSEkwC5gIZs3RYVYd65k/fz7/+9//sLa21jye0pjv3btH165def78ucn8XKdOHRYuXKgIaCS5F2EP69atY86cOZpCJ+7u7ri7u3P16lVAm9Ar1oyenp788MMPVK9ePcl7qNeGX3/9Nb6+vsohuDqxzMLCQvluTJo0iTfffJPChQsD6duni/f27Nkz/vvvPxYvXsylS5c0gll1d76+ffsyYcIEkzFLMofU+FBzdZhV+8oLFy5QsWJFkzhpUhjHnJYvX87Zs2eVMQmbFvbt6OjI119/TZs2bTSvT04wq37fIAWzmY3x9//27ds8ePCA8+fPc+/ePXQ6HREREcTHx1OuXDlcXV2pXLkyFStWxMnJyUT0b87PK7nEncQEFxs2bKB06dIpjiMmJobbt29z8uRJbty4weXLl4FXiZX58+enYsWKuLm50alTJ5ycnPDw8Miw9yhJGvH5//3333z88cc8f/5ciecYDAZatmzJt99+q4gIsquQ+cyZMwwYMEApzqJOlGvYsCFr165V/i1tSyKRZBbCxz58+JBRo0YpRR7Fvmfw4MF89NFHzJkzBx8fHyD9+yNjQkND2bdvH8uWLePx48ca3wiv/KGdnR2jRo1iyJAhmvFKchapFcymtOc5fPgwI0eOBBLO2EXXwx07dlC0aFGzjFeMITY2ljlz5rB7925evHgBaM/44VVXx759+9K2bVvs7e3lPJ6HuXbtGmPGjOH+/fuauIuI+eTPn5+uXbvSo0cPSpQokeg11PtrY193+/ZtwsPDOXv2LDdv3uT+/ftcunQJvV6viBgF4nsmrqUueA2Y/CxQ56xYWlpiYWFBbGwsbdu2VbqKSbIvwm527drFrFmzCA8P13z2lpaWVK1alblz51K8ePF03cNgMCiF+SDBlooXL87evXtTHWOS5EzUc5w6NgMo/kasDUXBEy8vL8X+dDodgYGB6HQ6pXAeJIiyOnXqpKwXUjuW06dPM2jQIKKjozV5HwIRi2zWrBkjR46kfPnyODg4pGtNqX7N06dP2bhxI4sWLVLeg7pj5IgRIxgzZozJ302SNzDHmkCSu8iLcXeJRCKRpA8pmpVIMok1a9YwZ84cAM2hs1jgiMW72Ny6urri5OSkdA+sXLmycq3ssDBKTjhr3AlPCmezN0kl5FpbWytCaCEgTWzKsLa2pkiRItjZ2VG/fn08PT2pXLky5cqVw9LSEhcXF83z+/bty8mTJ5XAjk6nw83NDV9fX4oVK5bptmEsnPXx8eHEiRMA2NraKoHwRYsW0bJly0wdW15G/bls3bqV2bNnExERAZgGBZNC+CHhm8Rjer2ezz//nEGDBqV7TKkRzhYpUoS+ffvSv39/IH0HzjExMQwbNsyka40YT4kSJfjss8+UREdJ7uT58+fMnTuXnTt3AtqqyyI4/c477zBgwABq164NZNxaQRwqvnjxgqFDh/Lff/9piiOI8XzxxRcMHDjQ7PeXJKD+jMPDwxOtDKpO3M9o0iqcHTJkiCYpNi33gOSFs+K7Ub16dVatWqVULJdIJBKJJLuTHQSzY8aMYf/+/dSuXRtvb2/l3ikJZ0U8aObMmWzatEmzNrSwsKBgwYLMnDmTJk2aZGvRhcR8nD17ls8//5wHDx4odmRnZ8dHH31EaGgoy5YtA9KfGK62o88//5w9e/ZoOnMKxDUtLS1p3bo1b775Jm3btlV+n9Je3fj3fn5+bN26lcOHD/PgwQOTDrPiNepkJGnzmU9WCWYHDRrEiRMnWLBgAU2bNk2XcPbIkSOsWLFCEc4mFncyFs6KMcgOs9mXZ8+e8e+//3Lo0CGOHj3Ks2fPlN8lVvjPxsYGFxcXGjRoQNOmTXnrrbeUfb+5fEpKiTuQ8J1xcXHB19eX0qVLp3j/xPxqbGws1tbWREdHJ1p8U5J1hIaG0rdvX27cuKE5u6xWrRqzZs2iXLlyWT3EVDFv3jyla6K6w0d8fDwTJ06kT58+WTk8iUSSh4mOjmbmzJls2bJF42erVKmCt7c3+fLlY8aMGaxfvx4g0Zh6RgpnR44cydChQwEpnM1pJFawX70PSEvc6Pjx45ozPXW+z+rVq2ncuLHZxi2Fs5L0YG6RjMjnSMyeYmNjefToEc+ePePIkSMEBQVx8uRJQkJCePnypRLDSqzTo/DfiRV2F6j35999950mRiXJ3gQEBDBo0CDu3bundIWDV59pp06dNELHtCDiikOGDOHvv//W+MLSpUuzbds2bGxsZLfZXIp6blu9ejVz584FErq3inMXa2trChUqRLdu3ShTpgzVqlXDxsYGCwsL4uLiuHPnDiEhIWzbto2goCD8/PyAVx06fX19yZcvX6rXemJM//77L0OGDCE2NtZkLakuHFmuXDmaNWtGjx49KFasmPKctK4tDx06xO+//87PP/8MvPpuie9HfHw8H374IZMnT07XtSW5BymclRiTl+LuEolEIkk/UjQrkWQwBoOB27dv8/777wOvFl0iAKbe+IoFmjpYJhZPRYoU4c0336Rjx46ULFlSI4rIysCw7Dibu0jqYEWN+jNTd+tQV/USuLi44ObmRp06dXBzc6N58+Z4eXmxceNGli5darIp2bRpEzVr1sy4N5gMyQlnQSaTZTbqv/HatWuZPXs2gKZrjLAda2trPD09qV27No6OjhQuXJjw8HAlIHjixAllwyk2m82aNWP58uUm90rr2NTCWfU11MJZS0tLBgwYwKeffproNZJCr9fz4MEDJk6cyKlTp0yScMX/R44cyejRo9P1XiQ5iwcPHjBo0CDu3r2rCaKIogYALVq0oFevXjRt2hQwf6BYPbcPGDCAf//9N9Huxy1atGDcuHGUKlXKbPeWaFF/39evX8+ff/5JpUqVKFGiBHXq1MHOzg5PT0/Na5Kromwu0iKc7du3L4MHDza7cFYkW4AseCGRSCSSnEVKgtn0dApJDerYzv/+9z8OHDig7J1q1aqFj49PqoWz8CqxYdSoUQCaRAqDwSC7J+RB5syZw5o1a4CEvYu7uzubN29mx44dLF68GDCPcPbjjz/m119/TbSTh/r6FhYWdOrUidatW1OzZs1Ei88kxqlTp7h69Srff/890dHRmnWpOr5lMBh4//33mTdvnskYJZlDapLHM9KHAnh6ejJhwgSaNWuWocLZadOm8d577wEJie5SMJu9CAsL48aNG8ycOZMHDx7w/PnzRAv9ic9DfL7qzw2gXr161KxZk5EjR2Jvb//a40pLpfvXTdwRsVyxLhDvT9pg1iJsYPPmzXz77bdERUUp/sbBwYHhw4fTp0+fbC9wFnb0119/8eWXXxIWFqYk1Arf2aZNG2bPnp3t34tEIsl9CB8VEBBA9+7defr0qeZcfeDAgXzxxRcAzJo1C29vbyDzO85K4WzOw9xFgvz9/enZsyfPnj1T9k9iHl24cKHZz1mkcFaSHjJaJCP8X2J+MDw8nPDwcK5cucKVK1d48OABp0+fJiYmhqCgIM1z1XFUdV6Leq8OCWeY0qZzBuJzOnz4MKNHj1b8bokSJWjbti3/+9//gPTPo1FRUfTp04eLFy9qYgM1a9Zk06ZNZnkPMkaZvdm0aRNTp04FEsSiwodUq1aNd955h06dOlGwYMFkrxMVFUV0dDQ+Pj5cuHCBNm3a0LFjxzQXWhe2fPr0aT7++GMlH0P4K7UfFj+7ubkxbNgwKlasSL169VJ1n9DQUMLCwvjpp584deoUgYGByt9AXYhAxtslaqRwVgIy7i6RSCSStCFFsxJJJvHFF1+wZ88e5d9ioZ4/f37Ngk19WKGuRAfg5eVFkSJFGD16NF5eXq9VnclcpFU426tXLzp16oSzs3Omj1WSNKtWreLbb78FXtmdsD31hgESkgDVgld1FUW1kNa4A6iDgwMARYsW5fr16xqb1+l0/PDDDzRs2NAkWVEtEhT3ywjUweg//viDZcuWcf78eX788UdatWpl8hxJxpBcorg6KFi4cGHKlSvH8OHD8fLyonDhwole79y5c1y/fp0NGzZw48YNChcuzJIlS6hYsWK6N5vGwtlJkyYphyHGhRCE3b733nv079+fcuXKYW9vr9xbHDyqE8UePnzIv//+i7e3N1evXtUIZtXV+mQVvbzHxYsX6devHy9fvtQEidXrhQYNGtC1a1elKq25gyovXrxg9OjRnDhxItHux15eXowdO5b27dub7Z4SLWof5OPjw8yZMzW/d3Z2xtramjp16uDu7k7Dhg0pUaIEnp6eSQoCzOlDslI4q04OkYJZiUQikeQksoNgdvTo0Rw8eFDZo4vf16lTh7Vr12JtbZ3q644fP55du3aZ7I9sbGyYP38+b7/9drrHLMkZiPXaw4cPGTVqFFeuXNEkfA8ePJiPPvqIOXPm4OPjA6Q/MVxtx1999RVbt25VfmcsNFTvX9zc3ChcuDDt27enePHiVKhQAScnJ+X7FhwcTHh4OP/++y8XL17k2LFjPH/+XNnDi/WtunCWwWCgW7dufP311yZjk2QO2cGHWlhYEBsbi6enJxMnTszwjrM//vgjLi4udO7cWQpmsxkXL17k119/Zfv27YSFhSmxQHUBNDWJxcCN4+zly5enV69evPHGGxQtWjRdn2VyiTvGInOZuJP7GTVqFIcOHQISClyUKVMGb29vChQokMWjSxvDhw/n8OHDir9Un2399NNPvPnmm1k8QolEkhcR8+7ChQtZvny5cv4eHx9PxYoVmTVrFpUqVQLgm2++Yd26dYAUzkqSxtyCWXhlJ+3bt9cIYoTdffLJJwwdOtTsdiGFs5L0kNkiGWFriX2XQkJCiI2N5dSpUzx+/JiTJ08qhd1fvHihCHAhIQdLfF/l/jznEhcXx6JFi1i6dCm1atXigw8+oEuXLsDr5WXExMTQtWtXrl27pnm8QYMGytogrQi/7e/vr+SXyn199uTnn39mwoQJSqxRnRvXqlUrRo8eTYkSJbC1tU12Pjb2J48ePcLJyUnJ10wr4noXLlxg6tSp3Lp1i+joaE0hSXXupxi/ra0tLVq0oGjRojRt2hQHBwcKFiyIhYUFMTExREVFce3aNZ4+fcrPP//M48ePefjwoUbspu7q3bVrVyV2JW1YIpDC2byNjLtLJBKJJK1I0axEkkls3LiRadOmKQKT+Ph47O3tGTx4MA8ePOD3338nIiIC0FZLggQxjAiq5cuXj6JFi9KxY0fefPNNihcvnqUHF8kJZ9UbZIPBgLu7O/369WPAgAEyaSybEBISwkcffURMTAyhoaE8ePAAwET0am1tTVxcnEa0Z9wtVqAW0qofU9uxOtFLiCAdHR2pU6cOBQoUoHr16hQtWhQHBweKFCmS6Njj4uI0Cb2vi3qzc+DAAVxdXalbt67J7yQZz9atW/nqq68AU8Fso0aN6N69O40bN8bJySlRe1InxsCranr79+/HxsaGJk2apLqTTFKor338+HGmTZvGvXv3NPcGrZixQoUK1KhRg4EDB+Lu7m4yhvv373P79m2WLl2Kv7+/UnFa+E9xv/j4eNq3b8/cuXMBGRTMa+zevZupU6cSGRmZZMfZMmXK8M477/DRRx+Z7b5RUVHcvn2bGTNmcPbs2US7HxsMBkaOHMmYMWMA6TczgqQENba2tsTExGh8jvpQQa/XU7x4cSpVqkSxYsUUP1iuXLlEk7fFfJ3ezy8rhLM+Pj5K5VG1YFbaoUQikUhyEt7e3syaNQvQHqCJdZ+rqysbNmwwywFaUmIveLUWsLKyUpIYBgwYwLhx41J97e3btzNlyhTlWgKDwcDgwYP57LPP5BydR4iOjmbmzJls2bJFY9NVqlTB29ubfPnyMWPGDNavXw+Q6JoxrR1n586dy+7du3n69KnmmsLm1AXfRMK6wWCgUKFCWFlZYWVlhY2NDU+fPiUqKoqXL19q7qV+nXpd6+rqSpcuXfjss89MxiTJHFKTPO7r60upUqUy1Ieqq5VbWVmxfv16atasmeprp1U4a29vT1RUlBTMZjP+/PNPVq9ezYULF4iOjjY584GkC1SK3xkXnxA+x8XFhapVqzJixAjq1KmTpnHJSvcSNceOHWPYsGEa/2JjY8OcOXNo3bp1thZNqccm7PPUqVN8/PHHBAcHmyTbNmvWjG+++SbHCYElEknu4cSJEwwfPtzkbGfatGl0795deZ4UzkqSw3jPY5x4nR7BrMFgICoqim7dunHjxg1lDhX/7927N5MmTcqQ9yOFs5L0kJUiGfV3w9j+4uPj0ev1BAQEcP78eQIDAzl69CgRERHcuXPHpMOs+nqSnMWVK1c4efIkFSpUoFGjRsDrz5vh4eF069aN27dva+KXrVq1YsGCBenuEnrixAn69etHr169lPwrub/PXpw9e5YpU6Zw48YNJT9D5MZ16NCB6dOnp7oYn8CcvkVc69atW6xfv54///yTR48emRTYB5R8UPVjoqlEgQIF0Ov1REdHY2lpSUhIiOY+wr7VBQacnZ3p0qULX3zxBfyfvfMOj6p6/vC7uymEhJCE0DuINBFBioAYBJQqgog0DVVEAaUIYkNAhCBFpQpIC1WaAlIU5Csi0nuXGkILBJKQhLTN7u8Pfufm3k0CCaQB8z6Pj2Gzt2XPnjMzZz4zSIFKITkinH0ykbi7IAiC8CCIaFYQsgjVFfDgwYMGA6xy5cosXbqUvXv38scff7BkyRLtGMcNC0jefbZ8+fKUK1eO999/H29vb3x8fLTfZWWA7X4dZ11cXIiPjwfgp59+4sUXX8yS+xLShjK+Q0JCCAkJ4ebNm+zbt4+wsDAOHz7M9evXuXPnjhbIVSij3rHDhmNg5H4OiOO4Vq+5urri7e1N2bJlNUFt4cKFKVmyJGXKlMFmsyVzGtSzPOj4T+k4CVZnLZs3b+bTTz8lMjIymWC2efPmfP755/j4+KS6IeGI3rnMyE1e/bX37NnDmDFjOH36NAkJCYYu245VrPLmzUuxYsWoWLEiuXLlIjo6mvDwcE6dOsXVq1cNglt1Hf01X3vtNa0ztDjOTx7x8fH8/PPPTJgwgdjY2FSFs05OTrz44osMHz4cb29vXF1d0zyXOW74Xbp0ic2bN7NixQrOnDmTavdjfUclSajIXObNm0dAQACQXASg/q9PDlRJ02o+UTbbM888g5eXF9WqVaNChQoUKVKEcuXKpXhNfYGCtIyjrBbOzpw5k9mzZzNq1ChJBhcEQRAeSRwFs/pK2gB58uRh06ZNeHl5kZCQkK7Or47oYzj9+vVj06ZNKfpMiYmJNGjQgB9//DFd509MTKRDhw4cOXIk2Sa1i4sLixYtokqVKg98/8Kjgd6faN++vVYYSvn33bt31xJeRo8eTWBgIPDgieF6/3j58uVs3LiR7du3a+dMrbq0SsTR+1OOP6dUOE5vz9arV4+mTZvSrl27ZPciZA2zZ8/WYiUpzaH65PGHTbC61xyqPnuTyYTVaqVGjRqaKDw93Es4q98z0HdRTEkoDCKYzQ5Wr17Nd999x/Xr17X4tb7DkFprU5tz9PFt/fyjfH39Zz569GiaNWuWJrtAKt0LjixYsIAxY8Zo48tms+Hp6UlgYCAVKlTI7tsDjPPW5cuXuXHjRqqFCEJCQujduzcnTpwwrP12u50CBQowc+ZMKlSoIHFLQRCyje+++44ZM2YASbabr68v8+bN46mnntLe5yicfZDCQo6IcPbRx3FfyDHx+kEEs3r69OnD//73v2T7f23btmXUqFGZ8UiACGeFByMnimRSijXEx8djt9s5cuQIN27cIHfu3Pj5+QHinz/qREdH4+7uDjz8Z2mz2QgJCaFt27bcunXLIJpVYtf0XEMvmO3WrZtW3M3f31+LxYqfnzO4ceMG06dPZ8WKFcTHxxviM/q8sOyeL9T1b968ya5du5g9ezbHjh1LVsRd4ZjLp8agPq9JxbtULEIfpweoW7cur776Kh06dABkzAqpkxNtAiHzkLi7IAiC8KCIaFYQsgBl3CxfvpzRo0cTHx+vGW1Wq5V27doxfPhwLBYL27dvZ+XKlezdu5fr168bqpmoLgaQtCmijL2CBQtSsmRJ3n77bapVq0b+/Pmz/DlTE86qziRgTNIRcg73CrBERUURHx/PlStXOHToEDdu3GDXrl3cvn2b0NBQIiIitHGoRxn99+pM6xgo0Tsg+uRDhb7bcoECBfDy8qJWrVrkz5+fZ555hmLFiuHk5ISXl1eKz/KwnfOEzOe///5j7Nix/Pvvv4CxEl2bNm206rk5Bf34PXz4MD/99BM7duwgMjIyxcIHKY1rRUoBRUdBeYcOHRg+fDggVfSeZKKjo5k7dy4//fSTJpzVFy5Qc2hiYiJlypShZcuWvPLKKwYxpGNnGn3wSBEZGcmBAwf4/vvvuXz5sjbfq+P1Qe6WLVsyfvx4QALWmc3vv//ORx99BICLiwsJCQmpFnwADGusvgqtvquWwt3dnTJlypAvXz4aNGhAgQIFqFKlCl5eXskCgY6V+VJaW/XC2R49enDz5s1MFc4GBQVpge7s3jwSBEEQhPRw8eJF+vTpo3X0SKkYVd68eZkxY4YmEnjQtS4tYi/1s5+fn5bQm1b/Q53j119/5euvvyYmJiaZoOvtt99myJAhODs7y3r9mKNstcmTJzNz5kzNBrXZbFSoUIHRo0dTsWJFIGM6KultwyNHjrBhwwbmzJmj/V7vp+u/Q/oCNJBywTf1uslkMvjpPXv2pGnTpjzzzDPJ7kHIGg4cOEDHjh0BcHV11eLQCn13pMzuMKv3t/Rz6INcN60dZx1jrdJhNnv5+eefGTVqlPYZOBaf0scK8+fPj7OzM4ULFyYiIoKYmBju3LlDWFiY9h7lQ+uTCMHoT/ft25dWrVpRokQJ4P5FISVxR7Db7cTExODv78/Ro0cNRS1atGjBhAkTsvsWk43jbdu2sXTpUoKDg+nTpw9NmjRJ8biNGzfSv39/IGk9VzH2Bg0aMHXqVBnTgiBkOWpOO3ToEEOGDOHixYvaHOXq6kr//v3p0qWLoUCWdJwV9Kxfv56BAwcCdwvkWK3Wh+4wq1Djc9CgQaxbty5Zp9kaNWowd+5cnJycMs2fSK9wtmvXrjRr1ozcuXNnyv0IjwY5XSTjGGNy/J3454Ke69ev89prrxEREQEk7b/7+/vz2Wefpfk8esFs165dsdvthnyCd999l0GDBmXWYwhpRH1O27dvZ8CAAdy+fdsQn2ncuDHjxo3TurTmNB82NjaW8ePHs2/fPk6cOKG9nlLs/V7dHvX5K/p4+wcffMArr7yi7RvkxL+BkLPI6TaBkDFI3F0QBEF4GEQ0KwhZyIULF+jcuXOyzgpFihRhyJAhNGnSBJPJREREBNeuXWPSpEmcPHmSy5cvA0mJWSpxUv3bMVmrZs2aVKtWja5du5IrVy5y586drPtYZpGScFYhSTqPFuozSikxVhn0Fy5c4NKlS4SEhLB3714iIyM5deoUN2/eTJagBkmbevouhY7LkKOAR+/gqKpi+gpk+nN7eHjg6+tL5cqV8fT0pFq1ahQsWJCCBQtSrFixFJ9ThIc5A+W4zpo1ix9/KIPT+gABAABJREFU/JGYmBiD89isWTO+++477b05dYP23Llz/PLLL/z666/cuHEjWUV7x+CfPhFXjxLPqnFepEgRWrVqpSX8iOMsREVFsXTpUqZOnap9X1TSBBiTuV1cXHBxcaFr1648/fTTNGzYkMTERFxdXVM8b3R0NL/++isHDhzgr7/+0n6n/97pCyHoBe0yNjOf9evXs2DBAg4cOAAYK+NB8s3X1MQAertSBf0czwVQqFAhfHx8qFixIlWqVKFgwYJUq1YNZ2dnrYKuQq2p+muqMZFVwlnHZxYEQRCER4Xff/+dBQsWsG/fPm0z17Hatre3NwEBAQ/ckeBBxV4P4jefO3eO7t27c+3atWR+UalSpVi0aBH58uXL0f6dkHHs2rWL3r17G3wXgBEjRtC+fXvtfRmRGO74vfj7779ZuHAhR48e5datW5rN6zguU0N/fXVsvnz5qFy5Mu+88w7169dP9dpC1hAREcHs2bNZtGgR0dHRhjGmjzP26dOHvn37PvBnlJ4u3Q87hyrSIpzVJ5yJYDZ70SfF6IXN+jnEYrHQrl07qlSpQt26dbFYLOTLl487d+6QkJDA9evXOX78OEePHuX333/n1q1b2lyoL1zpGDtUiV+VK1fWfp/SZ+6YuOPYoUwSd54coqKiaNu2LUFBQUBS8cpu3brxySefZKuNpr/2yZMn+fPPP5k8ebL2+169emnCIUcuX77MkCFD2L9/v5Ycqc5VqFAhRo8ezQsvvCA2qCAI2cbgwYNZu3atobtNhQoVWLZsGS4uLob1NyAggHnz5gEp+0eFCxfmhx9+EOHsE8DBgwcZNWoUZ86cITY2NkM7zKpjvv/+e3788cdkeRhPP/00y5YtI1euXBn9WCneR1qEs8WKFePdd9+lXbt2MjafcEQkIzwunDlzhjfffJOEhARtT8Bms/Hhhx/ywQcfpOkcKQlmVaEFQFs3unTpwqeffpqZjyOkgbCwMPz9/Tl9+rQhN65KlSqMHj3aUBA/J6G3C48dO8a///7LkiVLiIiIIDo6WnufioUqQZpe1KbsYH1eSpEiRahfvz4tWrSgVq1a2usS0xTSitgEjzcSdxcEQRAeFhHNCkIWoYylwMBARo8eDRiTdvQd2vQd3w4ePMjmzZtZsWIFMTExJCQk3LfKiTpvuXLlKFu2LN27d6d06dLkyZMn2f1kBvpEoA4dOnDw4EGmTJlC48aNM/3aQuahF9qoIEZKvw8JCSE6Oprg4GAOHjxIaGgoe/bsISoqivDwcEOH5JSEg/qE4NSEhXpRmHJuU+rg6eTkhM1mw8fHh2LFiuHp6Unt2rUpUKAAlSpVomjRojg5OYloNptRn/HFixdp3749YWFhhqDgiy++yLfffouPj88jsTF78+ZN9u3bxw8//MDZs2cNojRHMRqkXFFPP55feuklWrZsSatWrQARJQpJxMXFsWbNGsaMGcOdO3cMSd96HOfHypUr4+XlxbPPPkvu3LlJTEzEarUSHh7O7t27iYqK4sqVK/ftfuzi4kKHDh206qZShCDr2Lx5M/Pnz2fPnj1AUtXOlNZJ/XrqOEZSKlwBaF3ZUxPSFitWDFdXV+rVq0eRIkWoXr06pUqVwtXVNZkYW283ZKZwVhAEQRAeVfQ+zubNm/npp584dOiQ5kOoTTq1rvv4+DBmzJh0C2ezUjCr0G8QOnb66ty5M19++eUDnVd4NPnuu++0caU2jH19fZk3bx5PPfWU9j5H4ayjzfggHZWuXr3KxYsXmTlzJsHBwVy8eFH7nbOzs3YNx/iTSthVlCxZkuLFi/Puu+9SsmRJChUq9CB/CiETuH37NnPmzGHu3LnExcWl6m/07duXvn37pvv8md2l+17cTzirfD4RzGYv+n2flMafm5sbr776Ks2bN9fW8PsREhLCb7/9xubNmzlw4IChA4cSTOsTeFq0aEHHjh2pUaMGkPyzv3nzJl27duX06dMGG0MSd55MduzYQc+ePYGkpFWr1crEiRNp3rx5jpg7Zs+ezZ9//sn+/fsBtK4MAPPmzeOFF15I8bhJkyYxbdo0w/2rtV2JggVBELIa5XcHBwfTvXt3goODMZvNWsFovZ2qn4MdhbOONkZWCWfFNsh+jhw5wujRozly5IgmNPHx8WHx4sUPLJjV8+uvvzJ06NBkRdyKFy/OkiVL8PHxycCnSZn7CWednJy0wu1z586lTp06mX5PQs5HRDLC48D27dvp0aMHYMyDCwgIoHXr1vc9/l6CWX2HOzDGjISsR31WP//8M+PGjSM2NlaL8eXOnZvevXvzzjvv4OLikt23miqOeXtnz57l6tWrLFmyhJs3b3Lw4MH7nsNsNuPi4kLDhg0pUaIEb731Fl5eXtJFXngoxCZ4PJG4uyAIgpARiGhWELKYAwcOMGDAAK5du2ZIpoG7SWFt2rTRXtMbR3v27OHgwYPMnTuXW7duAUmBEkeRhONrbm5uvPjii9StW5e2bdtqlVUyU3ymTwjau3dvqgaj8PigPtuUxlVMTAxWq5VTp05x+fJl5s+fz/Hjx7Wxqq/Wo7BYLFqXRMcOyyktXXrnRd3PvTrnubm5kT9/fpydnalZsyaDBg0yCMuFrOXOnTt8/vnnbNiwwSCYLVmyJJ999lmandqcRHh4OMOGDePo0aNcuXIFSBKiOXYEUXOyvviBk5MTH374IX5+fjz99NOAVHMWkmOz2fjnn38YMmQI4eHhQFKXWb1Y8l4dvh1Rc6ZjooQ+0bh8+fK0aNFCEiayGL0dlZJw1rHjrArkubu7ExERof1OX4BFjRV1fj16m02dX/9+dQ0XFxc8PT0pUaIE1atXp1ChQtSpU4dcuXJRtGhRwzmPHTvGe++9R2hoqGGMiXBWEARBeJJxXOMzWjibXWKvY8eO8dFHH3H58mVDpy+bzUaVKlX47rvvKFasmMSKHnPU53vo0CGGDBnCxYsXtc/b1dWV/v3706VLFxISEnB2dgYypuNsSiQkJBAUFMSWLVs4dOgQ+/btIzY2ltjY2BTf7+bmhru7O8899xw1atTAz8+P4sWLS7GgHEpqwlnHBIf0Cmezo+iAI/cSzlosFsxmswhms5H58+czZswYIOXEnTx58tC/f39eeuklihcvDqQe41OfmV4wcOfOHSZPnsyvv/5KVFSUdm61B6Qf340aNaJbt26p7sccOnSIcePGcfDgQaxWKy4uLsTHx0vizhPI5s2bte7b+oKP+gK42UloaCi9e/fm6NGjmg2gxmZiYiI9e/Zk0KBBhu+SGu8RERH06NFDO1ZvU5tMJubMmZOq4FYQBCGziY6OZuzYsSxbtsxgr9atW5cJEybg7e2drDhmdnac7du3r1ZkQch+Dh8+zLhx49izZw958+bl559/zhDBLMCWLVv44IMPkhU/z5UrF0uXLqVChQoZ9BT3JjXhrN7mFcGX4IiIZIRHnb///ptevXoZ1mO73c63336rFddPjbR2mAWZP3MSffr04c8//wSS8jDKli1LYGAg+fLly+a7SxuOMaeEhATMZjO7d+8mPDyc//77j6tXr3Lnzh3i4+Nxd3fHx8eHEiVKULlyZTw8PLRcuJTOJwgPgtgEjxcSdxcEQRAyChHNCkI2MHz4cJYuXQpg2NB48cUXGT58OMWKFdPe62hcXb16lZUrV7Jz50727t2baucwhWN3udq1a1O+fHl69OiBl5dXsm5gGYljYpA4t08W+s/b0eBfsGAB33zzTbJjKlasSPny5fnjjz9ISEjQAneOoi/1muPmnWPHztQ606oqQzExMQBMmDCBFi1aZPSfQEgDylE9ceIEAwcO5Pz584Z5sUOHDnz88cd4eHhk962mC72D/e+///K///2PFStWYDabtQq4qQnAixcvTv369WnRogXPP/+89rrMocK9CAoK4ptvvuHIkSOEhYUZimhAyuPHcQw6FjDQd//Wi23btGlD06ZNNZGGBHWylvsJZx2FzlWrVqVJkybkypWLvXv3cuDAAWJiYggNDTWcVwX7UupGm9L6qooA2Gw2w2abwsvLC7PZzHPPPUeRIkWoWLEilStXpkKFCly6dIm33npLKwTjeA8gwllBEAThyeNewlm1qQvpF85mt9jrq6++4ueff06x09enn35Kly5dHvoawqPD4MGDWbt2rRbfsdlsVKhQgWXLluHi4mLwLTI6MTyljfJbt25x6dIlzp07R0xMjFbksFChQri6uvLUU09RtGhRvLy87nsuIWeQknBWnySYXuHsvebQzO4w60hqwll98UwRzGY9qSXuKD85b968fPvtt9StW1crDPCg/Pzzz6xZs4Z9+/YZrqcXPAI0a9aMbt26pTo/Hj58mNGjR3Py5EliY2Px9vZm0aJFkrjzhLFx40YGDBhgKOJot9tz1F7Jjh076NGjh7buqrnObrdTtmxZli1bhru7e7Lj4uLi+OabbwyCNH3savny5VSpUiVLn0UQBEHPoUOH6Ny5s2YzKht12LBhdOrUSXtfejrOPkhhofsJZ9Xc+dFHH/H+++8/7GMLGcSBAweYPn06n332WYYJZuHuPmPr1q2xWq2GHA0XFxeWLFlCpUqVHvoaacVROLtu3TrCwsIADAU+xOcR9IhIRngUUfPYmjVrGDJkiKHwtc1mY+rUqTRq1CjV41MTzKp5PLUOszJ/Zi///PMP7733nqHZgouLC2PHjqVp06Y5OvZ8PzHagyDjUchoxCZ4PJC4uyAIgpCRiGhWELIQ5TiqThuXLl3SnD673U7u3LmZOHEiDRo0SNHJVK9ZrVZsNhvz5s1jz549bNu2TXuPvqKy3ql0FM8WKVKEF198kUaNGhk6OOZkx1t49FHG/4YNGxgwYIAh6dHJyYn27dvzxRdfEBQURGxsLLt37yYoKIgLFy5w8uRJgGQiH+WYqEQ05aQ4Cmb1y50+MJhTKqc/6UyYMIFZs2YBScK9PHnysGLFCkqWLPlIBskc59N9+/Zx9epVfvvtNyIjIwkJCdGEjfnz56dy5cqUKFGCli1b4uHhIY6ykG5CQ0PZtGkT69evZ8+ePSkW1kipsIAjeqGssh/c3Nzw9PSkb9++NGrUCB8fH0DshuwiLR1n1Wfo7e1NrVq1+Oqrr/Dx8SEqKoqYmBh27tzJ9evX2b59O9euXePmzZuGbrQKs9msBY8dr++41joKevTd5OBuYNHDw4OWLVty6tQp9u3bZ0h41IsgQISzgiAIwpOH4xo/e/ZsDh06hM1mS7HjrLe3NwEBAakKZ1MSe+kLX2SmYFb5/2pzOigoKFmMqnTp0vzwww+GauLC44kab8HBwXTv3p3g4GDNzrRarQYBY3oSwx+ko5JjNem0oN77KMYmnkQyquNsThLMKhyFs3PnzmXHjh2AJI9nB46JO2psqdizl5cXs2bNemhxnn687dmzh19++YVVq1Ylu64+geeNN96gV69elCpVKsVzHj58mKFDhxIREUFgYCBly5aVxJ0nDFXY1NE+CwgIoHXr1tk+j9jtduLj4xk1apRWjFLFuywWC87Oznz//ff4+fmleK/nz5+nffv23L59W+vsAPDDDz/QpEmT7HgkQRAEIMlO0++LqvW8UqVKjB8/njJlyiR7P9y/sFBGCmednZ21ufN+gh0h64mPj09WeOphuXXrFq+88grR0dGGPZ/M7kSfms2hF85+/fXXrF69mvHjx4vgS7gnIpIRHlV+/PFHvv/+e0O371y5chEYGJhqTOFBO8zK/Jn9LFiwgDFjxmifhc1mw9PTk8DAwCzr7H4/9OPk8uXL3Lhxg+eeey5d59DbKVarFYvFkmxvShAyC7EJHm0k7i4IgiBkNJmzcy8IQoooh69UqVKUKlWKS5cuGQR/d+7c4dtvv6VKlSrky5cv1eMtFgtOTk706tWLN998k/379zNr1iwuX75MaGiotpmhT6i0Wq2a8W+xWLhy5QrLli1j2bJltGjRgkqVKuHv728Q3UqQRMholPH/zDPP4OHhoXV6BUhISODIkSMAmjNavnx57fc3btwgJiaGAwcOEBYWxrFjxzh37hxhYWFcuXLFIArXf68ck4odK+lJMln2YrfbCQsLY/fu3ZqAFO5+Xm3atKFkyZI5JmCmHyNqM9LxdT3qntX9q66xTZs2xWKxcOPGDVxdXbFYLJjNZnLnzq0dq6/kLAhpxdfXlw4dOtCuXTsmT57Mrl27OHjwoGFjRC9i1I9bx47eKthjtVopVaoUb7zxBi+99JIhSK8CikLWoz4vk8lkSFTYs2ePFmxTn3FYWBh//fUXdrudwYMHU7x4cTw8PHjttdcA6NatG1arlbNnz3L27FmCg4PZsWMHUVFRHD9+HJvNZhC9qgRwx/UVkgpXqNf0nd5V4k54eDgLFy40PIvCbrcbqusHBgYCiHBWEARBeGJIaY1Xwln9Gq/ssLCwMIYOHaoJZ/XHZ3eHWXWtIkWKULp0aYKCgjRfXdkMN27c4OTJkyKafQJQ483Hx4c6depoolk1Fvbv309YWBje3t5Akp89dOhQAObNm2ewE1XM5+rVq3z00UfpEs7qxUGOKLvW0c9R75W40aOBp6cn3bt3B0gmnFVjx2q1MmXKFIAUhbM5UTALxnXipZdeIjExkZiYGHr27CkxziwmpcQdVRgyISEBb29vAgMDKVeu3EN/JnrRfs2aNfHx8cHDw4PAwMBkc6Naa1etWkWBAgXo1auXIeaoePbZZxk3bhze3t4UKVJEEneeQHLlygUkzSuqqNmBAwdo3bq1tseYXZhMJlxdXXn++edZvny5oQOP1WrFarVy4MABzQbWY7PZKFmyJK1atWL58uXExcUBkiguCELayOz5QZ27Ro0aLF26lKioKG0OvnDhAqdOnTJ0odHbfyn5R3ob98qVK/Tv3z9dwllvb2+aN28OoAlnXV1dDXOnCGZzHmqPOqPWaqvVirOzMx4eHppoVr83dOnSpQy5jiMqPnXy5EnsdjsVKlQw+Owqt+PLL7+kU6dO2h6lrONCapQvX55JkyZpIhk1xpRtGxUVxfLlywFEJCPkKGJjYwFjU4h7+WQimH00sdvtxMTEsHr16mR5vfXr188Rglk1RtQ42bZtG0uXLiU4OJg+ffqkqwiVfvzq46WSYyRkBWITPLpI3F0QBEHIDEQ0KwgPSGRkJHny5Em3mMtut+Pu7s4HH3zA/v37uXPnjpbMaLFYuH79Olu3buWNN95I9dz6zREfHx8aN25MlSpVCA4OZsaMGRw9epSwsDCDsQZo4gV9NWar1cq6detYt24dGzdupG7dujRv3twgVswpgjXh8cHV1RVAG4tw18kJCQkhODiY4sWLa4kaKhEif/78AJQoUQJAE3VFRkZy8uRJwsPD2bFjB1evXuXixYtcvHgxWYdlIMUOsxIYzD5MJhMXLlzg6NGjWuBXbQ4/88wzQM4JmKkxcuLECbZu3UrFihVTTMpxJKVkW5PJRP78+ZN1QlZjMac8s/Bo4uTkxIABA7h69SpHjx5l6dKlnD9/nitXrgBJwkYlfFT2gUo6U8GmFi1a8Mwzz9CqVSvy5s2b7Doyb2Yv6RHOxsXFsW3bNgCGDh1qCMzZ7XZcXFyoWLEiFStWBKBHjx6YTCaOHDnCrVu32LVrF6dPn+bSpUtacoTawFHzl6MoW+EoqHXsRptSZ3h9IntgYCAWi4WuXbtSsGDBzPljCoIgCEIOIjXh7MGDB9MsnNUX+clOsZfdbidPnjy8//777Ny5k9jYWG3Nd3V1JSoqismTJ9OsWTOcnJzEvnwCcHd3p23btqxatcqw4fzvv/+yYcMGOnXqZLAL05IYfvXq1XQnhqeG+OKPD6kJZ5XQ6l7CWf1c2K9fvxwjmFXo14mXX36ZZ599VivAKTHOrCG1SvcqccfHx4fFixdTqlSpDNtb0X/uZcuWpWvXrnh4eDBt2rQU50ar1cqPP/5IsWLFePPNN1McG5UrVwbIdnGkkD0UK1YMJycnLSbvKIrJKWOidevW/Prrr+zcudMQg1IF4IBkyWfqO/fiiy9qhdtkP0gQhNSYOXMmhw8fxt/fnwoVKuDp6ZkluRF+fn40btyYX375BZvNphVYnzx5MnXr1jXsyWSlcHb27NnaXpKIbJ4cnJycyJMnD6VKlSIkJERbc1WuhRJzZSR6wVeXLl2oWrUqI0aMoHz58sk63To7O4tgVkgzIpIRHiWUL3Pnzh0ATaxoNpvJlSuXllunJzXBbEJCgkFUBLKW5zRUUYrIyEgAQ3EoVUA8O3N09dc+efIkf/75J5MnT9Z+f+zYsXSJZgUhuxGb4NFD4u6CIAhCZiGiWUF4AGbOnMnixYtZtWoVPj4+6TpWGUglS5akWrVqbN++XRO22mw2oqKi2LRpE2+88cY9jTpHQ6tgwYIULFiQGjVqsGnTJk6cOMG0adMMHb/01aIhqfus4siRIxw5coQ5c+bQsWNHqlSpwmuvvaZdS8SzQkaggj3lypXj0KFDwN2xZbVauXbtGmfPnqV48eKGymWOXejUeHZycsLb25s6deoA0KxZMwCioqK4dOkSN27cYM+ePYSHh3Ps2DGuX79OWFgYEydOlASJHID62x8/flxzLFVQuGDBgtSsWTO7bzFZB6Z169Yxffp0rl69SuXKlalcuTK+vr7pOmdK4zql1wThQdAHcwoXLkzhwoWpU6cOVquV7du3c/bsWQ4dOsS1a9cAiI6OJjExkYIFC1KgQAGKFClCo0aN8Pb2NlSyFBsgZ5Ie4WxMTEwy4azqLqxHiWgBqlWrZjh3REQE//33HyEhIfz9999ERERw7Ngxbt++TXx8PIAm4tEnXuo7z+oFtXq79F4dZ1WS+9ChQ7V7EwRBEITHmfsJZ1UiRWrC2ZwgmNU/R6lSpahbty5btmzRigiprjUDBgzA2dk5Q68r5FzsdjtVq1alW7duzJo1y2DzrVixghdeeIEyZcoA908M13ecfZDEcOHx50E6zurnwj59+vDnn3+mOoc2aNCAH3/8Ecg6waxC//1Qgln1upC5pJa4oxJUvb29WbRoEaVKlcrwKvL6z7dIkSK8/fbbAIYEHv3caLVaGTZsGCVLlrxnnFXiPU8m+vGr34vZv38/+/fvp3r16tl5ewCavVu2bFl27typJTaqfc///vuPuLi4FBPJARo0aECzZs149dVXZT9IEIQUCQwMZOLEiQCcOnWK0qVLM3DgQEqWLImbmxuQOXsjykbo1KkT+/fvJygoyODbrF+/ng4dOgDG/UO9f2S325k/f36G+UdKOJuQkMCPP/7IV199JSKbJ5A8efIY/q32cFIrVPGg6AVfymc7dOgQY8eOZciQIck6zuqRsSikBRHJCI8Kak5TIkq1z64KBnh4eBjeL4LZR58jR45w6dIlLY9DzU1VqlQBsnedUzbv7Nmz+fPPP9m/fz+QFPOaOXMmdevW5YUXXsi2exSE9JJWm8BsNvPmm29SunTp7L7lJxaJuwuCIAiZiYhmBSGdzJ8/n4kTJ2I2m1m9ejVvv/32AyX35cuXj6ZNm7J9+/Zk4tX//e9/rFq1ijfeeCNd51TG4CuvvMJzzz3HokWLuH37thbM1nf+0idYqiRL1X02ISGBhQsXYrPZ2LBhA7Vq1aJly5YGYZgEVB4t9J9Xdguf1H0UKlSIAwcOGDrN2mw2QkND03R8Ss+gvgPu7u5UqFCBChUqUL9+feBukDE+Pp6bN2/y9NNPAzKOsxv1tz9w4ABw9/NTAWB3d3e8vLyy8e7uosbZ77//zvbt21m2bJn2u7Nnz3LhwgV8fX2z/XslCHoc57XcuXNjNptp0aKF9pq+aqnNZku24aKQ7sc5n4cVzjrOXykJ+tV58ubNqwX8WrZsCcDFixeJjIzk6NGj2iaPWt9V9XHHquSqw62+y7F6BsfOYopatWqJYFYQBEF4oriXcFZt5qbUcfa7777jhRdeSCaY1VezzcruiCaTibx58/Lyyy+zZcsWrTgGSOJOTiSzPwd17ho1arB06VKioqI0W/HChQucOnWKMmXKaPZnZndUEh5/0tNx1maz8eGHHwLJBbOOc2h2CmYVMmdmPWlJ3FmyZEmmJO6khI+PD+3btyc2NpY5c+Zo/nZiYqJhfE+YMIGxY8dKIrhgoHTp0pQqVYrg4GDNprTb7cTExPDff//lCNGsihM1btyYn3/+2VAY2GKxEBsbS0JCQqqiWYDhw4dr3RrF3hQEQY/juh4cHExwcDD79u2jefPmWidYFTvPyH1AZSOUKlWKMmXKEBQUpMXOrVYrW7dupWPHjoBx7tL7R59++qn2HBkpnG3VqhWNGjWiePHiya4vPL6o8a1EAmo8qtwilb+R0YJZJfhydXUlPj6eHTt2MGHCBAYMGEClSpVk7AkPhQhnhUcBZVsoP0dfcFoVC1KIYPbxQBW1d2x+o/IgsvuzCg0NZcOGDRw9elTLI9bH4rdv384LL7wgOXLCI0VabIK5c+cSHx/PgAEDyJ07d3bf8hOHxN0FQRCEzEYsV0FIB4GBgZpxZrPZ2Lx5M2FhYUDyYMW9UA5v8+bNqVevnvaaEg6YTCb27duH1Wo1BETuh3Kcz549S7t27YiIiNAcVCVItFgsBqNfHac2xR0FvFu2bOHbb7+lXbt2zJw5k507dxqupe8WJuQM1GeSWve21MSmWYW6VqlSpQAMyWc2m419+/Zp4zG96Mc0YAgwubu7ky9fPhHM5kCuX78OGCvae3l5aV0Ks5vly5czbtw4TTDr5OSEk5MT4eHhjB8/npiYGAkGCjkax80W1Z0M7gpq3d3dtd85rusyTz4aqE0VgMaNG9OlSxdN3Kr/vPXC2YCAAK5cuWIoqpIaKXWjVdcrXrw4lStXpn379owaNYp58+bx22+/sWDBAj788EPat29P+fLl8fLyMiSZq0C0vnCL/vwq+AkwZcoUmjZtmgF/KUEQBEF4tHBc43v06MFzzz2HyWQyrPF64ezAgQPp0KFDsg6z6r1ZKZhV9wbQpk0bGjZsqMUEJHEnZzBz5kz69u3L7t27uX37thYjzGxUArqKhzo5OXHnzh0mT55MRESEwTbUfw+GDh1K165dAbRNaiBZYvjhw4cz/RmERwclnO3WrRuurq6GeU//87Rp05g+fXqKHWb1c2hOEMwKWU9OS9xRFCxYkHbt2tGmTRsgabwqWwHg3Llz/PXXX5ovLggAvr6+5M+fXxsndrtdG7czZ84kKCgoO2/PgLe3N2azWUssVvbKjRs3iIiIuOceghLMgsQ5BUFIwnFdV/OLk5MT0dHRrFy5kr59+zJixAi2bt1KQkJChu8D2u128uTJw4cffoi7u7vBrvzrr79YtGgRkHzu0vtHn376KV26dAGS7FJVnPhB/SMfHx8RzD6BqPFduHBhIOmzV/9FRERorz8MqQm+4uLiMJvNODs7888//zB69GiioqIe7qEEgSSRTIkSJTQbUv1fL5xdunRpjrJ/hScH5Y+pPXHlz5vNZtzc3Az5dCnNnyo2IYLZRwer1WrIjVBxmri4uOy8LQ1fX18GDRqkNeNR96eaYGzZsoXo6GjJkRMeOVKzCfRFkurWrSuC2WxA4u6CIAhCViDWqyCkkblz5zJ69GggqbrTvn37mDNnDpC+qooqIOHu7k7VqlW14/VCv19++cXQhfN+qADJuXPn6NGjB9euXdOEsnoDcvDgwbRt21ZLENJ3kNMLYVXCJdwNyly9epVJkybRrVs3RowYwYYNG0QolsPQdxEGCAsL48SJE2zZsoUpU6Ywc+ZMJk2aREBAAMuXL2fz5s0cOXLE8Fk7niszUN8Vx6q2apMlPDzcMB4fBr0I0/EZJTCY/VitVm7fvk1wcLD2mvpcvL29H6iLd2bg6enJ1atXAbTAs3LCr169qm2giPMr5HTU90tvc6jX79XFW3g0yGzhrOO19NXtwVi0o3jx4lSpUoUPPviAESNGsGjRIlatWsXUqVM1IW3JkiXx8fExdBlXCZqOG3uqu15OKKQgCIIgCFlNasJZJRxwFM7eunWLgwcPGgRe2dFhVn//cHejUxXPmjJliiTu5AACAwOZOHEimzdv5vPPP+fjjz/m5MmThgSdzPBz1WZyp06dKFmyZLKk7vXr1xuKtEBy4aw+MdxisTx0Yrjw+HMv4awaOwA//PBDMsFsTuswK2Q9KSXumEwmw77L4sWLszxxR1G6dGnatGlD7dq1AePcbTabuX37NitWrCAqKkpLehSebNQYqV+/frJkXbPZTGRkJP/884/hvdmJr68v+fLlS2YzOjk5aXaAIAhCWklpXVf+hyouruabJUuWMHz4cPr168eZM2c04WBGoBK1y5Qpw2uvvabNZ2r/Zvv27dy8eTPVYzNTOKu/jvBkoUQC+v0eu93OxYsXCQ0NfSi74F4dEuGu3ap+7ty5M3ny5HnIpxGEu4hwVngUULlR+rzR6OhowsPD7zl/Os6lIpjN+dy4cUOz1fT+uPoMs9u/tdvtVK9enbZt22o5IeqelG25d+9e7b2C8CjhaBPo7c8pU6bw8ssvZ/MdPnlI3F0QBEHIKmRHXxDSwNmzZ5k3bx5wN1ARHx+PxWIhMTGRVatWUbNmTRo1apSuc6rgRPfu3Vm/fj0XLlzQHE1lAC5YsIDy5cvj6el5z3PpBbPdu3fXBLNqMyQhIQEvLy+WLl1KyZIliY+Pp0OHDixcuJCjR49y+vRpw7X1laX13UtUUHzJkiUsWbKEihUrsmDBAjw8PB7o7ypkLGazmZCQELZu3cqePXvYt28fV69eNQhP9O+12WzkypWLEiVKUL58eV555RXKly9PyZIlDUm3mRVEU+NGOTtqDJ4+fZpbt26RN2/eLHd0hKzFycmJXLlyaQ6jPin2+vXrxMXF4erqmp23CECTJk14++23mT9/PgkJCdp3IjExkZCQELZs2UKFChVEbCgIQraj1lKTyaQJTQH27NmjBRDVZrASzsJd4UGRIkU0m/JB0ItyFep8uXPnxsPDgyJFivDiiy8CEBERQWJiIrt27eLy5cvs37+f//77jzt37nDr1i0AJk2aJBt7giAIgkDKa/zs2bM5ePCgYY3Xb8Yp/yo7BbOOvPfee7z00ku88MIL2j3K+p49OG5EBwcHExwczL59+2jevLnWCVZfZTujfF41JkuVKkWZMmUICgrCYrFgtVqxWq1s3bqVjh07AsYxov8efPrpp9pzqLGsClzpE8O///77ZEXbhCcXJZyFuwUy4+LitFi4EkiouVN1UhDBrJBapXuLxUJCQgI+Pj4sWrSI0qVLZ0vijpoXa9WqRXBwMCdPnuT27dtacQ11r6dPn+a7777jq6++krVX0Nb0559/3iASU7ZkZGQky5Yto3Xr1ri7u2eoHfAgODs7GxJ14e730dPTE09PT4nLC4KQZgIDA1NMyNWjkmBVLkhISAhXr17l5MmT1K5dm9atW1OnTh3t/Q+z/pvNZlxdXXnxxRdZunSpdl92u52tW7dy9OhR/Pz8UvSd7+cfJSYmin8kpJvSpUvj4uKijR9Asyv1/lF6uZ9gVv/zlClTaNy4scSMhAxFiWQ+/PBDLl68qI1JR+EsQIcOHShZsmQ237HwqPGgPpOaV1X+nCoyDRATE0NsbOw9O8yKYPbRI1euXECSLac+7wMHDtC6deuHWm8zApPJhKurK88//zzLly835Ayr+P2BAwfw8/OTMSY8kiibYMCAAZw7dw5Isj9B5s+sROLugiAIQlYiu0iCkAZKlCiBn58fkGQMqQ2TqKgo/v77b2JjY9NVKUSdw93dnSZNmmCxWAydEQCOHTumiQZSq9qYVsHs4sWLKVmypPZ65cqVGTZsGPPnz6dbt24899xzAFo1VcdgjkoU0gvYunfvLoLZHMKOHTuYOHEibdu2ZdiwYaxdu5Zr165pARaz2az9p+8waLVa+e+//1i7di0ffvghffr0YfTo0Zw8eZLo6GhNNJ0ZlClThoIFC2oOjfr+hISEEBkZKYLZJwRV/dCRuLi4HJHsoubeNm3aJBOUWywWzGYz+/fvT/caIAiCkFmk1HG2Vq1aQMZ3nL0f6lr6uVP939PTEx8fH5o1a0bPnj2ZNm0aa9euZeHChQQEBDB//nxeffVV7f0SXBQEQRCedFLrOOtY7Myx+reKM7300kvZKphNTEwkb968IpjNAThuRKuq9k5OTkRHR7Ny5Ur69u3LiBEj2Lp1KwkJCRnun9vtdvLkycOHH36Iu7u7YUz+9ddfLFq0CEje2SirOioJjy8pdZzVxybV+NInO4pg9sll7ty5KQprTCYTVqsVLy8vlixZQunSpQ1jKSvRz4tt27alVatW2l6OY2HMo0ePcunSJe01QXj++edp2bKlYb1Vce9Tp04xcuRIgGzvlOBYREN9ByFndMIVBOHRYOHChYwePRq4KzBRfpAj+g5vap21WCxcu3aN1atX061bN8aMGcOff/4JkCHrf+PGjWnXrh2AQfT6ww8/cP369VR953v5R/q8E/GPhLSSN29e7fsBaB3w4uPjuX79+gOd816CWX0XKbgr+NIXhBWEjEQ6zgqZhd7/njdvHtOmTUvzsWodd3NzA5L21FXxDovFwr59+6TD7GNEsWLFcHJy0uw45dOqeE1OyZVs3bq1YS8H0OKhZ8+eBci0fFJByGzKly/PxIkTKVy4sAhmswmJuwuCIAhZTfarUQQhh2Oz2XB2duaTTz7hqaee0iouA1onj59//pndu3cnq3R8P8xmMyaTiUaNGmnGnzLwLBYLly9fZurUqdp7U7q3tApmy5QpowVU1Lnc3Nzw8fHhk08+YeLEiQQEBFC5cmXy5s2rbRQpwaXqQhsXFwfcrbDz2muviZGXzZw+fZoJEybw7rvvMmfOHEJDQ7XgisJqtWKz2Qz/qcCFPjES7gY2AgMD6d+/P8OHD+fKlSsGpyMjP28PDw88PT21SnkqqKeq9mb09YSch6pCpxdwmUwmzGYz165d48KFC9k+BtS9lS1blmLFihkcX/V9OnTo0D03rQVBEFIiPfNbeudCR1GNv79/tglnHe9L/V+ffAR31wQ3NzfKlClD69atqV27tvZ7mV8FQRAE4S5pEc6CMbnXZrPxzDPPMHPmTADi4+OzRezluKEp63v2kFLlZhWTUf65+myWLFnC8OHD6devH2fOnCEiIiLD7kMlJZYpU4bXXntNS+hWhd62b9/OzZs3Uz1WhLPCw5CScFaNHT0qhurn5yeC2SeQvXv3MnbsWOBuFxAl0IMkn7Z9+/aULFlS2zvJLvSFLwcPHkzt2rUNInD189GjR/nf//6nHSMIAJUqVdLGiKNQ7J9//mHZsmVA9o0Zu91OUFCQtmcESXZliRIlDMIeQRCEe1GpUiUgSYQCxqIpity5cwN3bUGVJ6GEVWq9nz9/Pp999hkDBw7kxIkT3L59WzsmvahjGjZsSP78+bX7M5lMXL9+nRMnTgCpixIexD86cuRIuu9TePyx2+24uLjg7u4OJI0tq9VKYmIiFy9eTPc57yeYVTlNIIIvIWsQ4ezjgVqjcwL6/KHFixcTEBDApEmTmDt3brrOo7obq9isiklNmDCBt99+29BhNqWCAzJ/PjqomLyy99R/+/fvZ//+/dl9e0BSY52yZcsCGAoLAvz333/ExcXlGIGvIDwIFSpUYO3atSKYzQYk7i4IgiBkByKaFYT7YDabSUxMxN3dnYEDB+Lr66sZQjabTTPKxo0bR3Bw8AMZPc8++yz+/v7aOSHJED98+LC2caEP+jyoYNYRdb3ChQvTunVrJk+ezKRJk6hTpw758uUD7jq9UuExZ2Gz2Vi8eDFjxoxh1qxZhg7B+vGpH4+O4hT9JpoKxqhAx4ULF1i7di3t2rVj0aJFnDt3LtkxD3v/FouFokWLAklJDomJidhsNvbt22e4Z+HxxMnJibx581K8eHHD6zabjbCwMM6ePZsjxoAqnvDuu+9qm+WA5pjbbDbCw8Oz7wYFQXikULaXfn4LDQ3l+vXr7Nmzh71793L48GF27drFmTNniIyMJCoqKt3XyanC2ZTuE0g10JkT1gFBEARByEncSzirYkWOvvuVK1fYtWsXAC4uLjkmqUjIWgIDA1Ot3Kz+UwlZKk4TEhLCX3/9Rc+ePRk9ejQ7duwwnPNhRCpmsxlXV1defPFFEhMTDQX8tm7dytGjR4GUC8jcLzFc3ZsIZ4XUSE046/idAKhatSoggtknjRIlStC1a1cAYmNjtc9eJcLY7XZmz57N3LlzH8hnz2hU8QEnJyeaN29Onjx5DIVY1f1v2LCBsLAw6c4paOto9+7dqVOnTooJXzdv3mTDhg0cPHgw2+7TZDIRHh6u2S2QZH9Uq1YNV1dXSdQVBCFNVK9enWXLlhlEsI7FHS0WC3Xr1sXPz4/cuXNrCbL6fWz1c2RkJOvXr6d///4MGzaMEydOGNbetK616ph69erx1FNPabF7k8lEaGgoCxYsAO7ddSy9wtl3332XQ4cOpefPJzwBmEwmChQoQOHChQ2vqzEaGRmZrvOlJphVa7oIZoXsQoSzjx6OsUF90T9Fdvi4esHsokWLGDlypPa7sWPHMnv27PueQz2Hl5cXgJb7p2yUf/75R/P11e9k/ny0KV26NKVKldJsO+V/x8TE8N9//2Xz3d1F5Y82btw4WTzMYrEQGxurjUFBeJTx8PAAZP7MaiTuLgiCIGQHIpoVhDSgHNVnnnmGF154AbPZbNgcMZlMXL16lT///FMLUqSXqlWr4uLiAiRtbKgKytu2bdNeh4wTzAKGLiQARYoUoXbt2syaNYtvv/0Wf39/PD09NWd3ypQpEnDJZhITE/nqq6+YOnUq//77L4D2+SujWwUJ9Qa66tah3q9/n/r89ZuETk5O3Lx5k/Hjx/P999+zfft2IKkbyMNgNptxcnLi6aefBpIHOVPrJiI8nnh7ewNJzq8an1u2bCEuLi7bnUn1PcqfP7+WQKy+J4mJiURHR2uVngVBEO6H2WwmKiqKI0eO8N133/HRRx/x1ltv0a5dO9555x3efvttOnXqRJcuXejUqRNt27bF39+fqVOn8uuvvxIVFUV8fDxgLLaSEo+KcFYQBEEQhPRxv46z+uRfs9nMrVu36N+/P1u3bk12vPBksHDhQkaPHg2gdWRLKabn2GFOJcJcu3aN1atX061bN8aMGcOff/4J3DtxO600btyYdu3aAUlJ3YmJifzwww9cv3491djjvRLD1Sa2CGeFe5GScFaNHX3ce9KkSUyaNEkEs08YBQoUoGfPnnTv3h0wiqb1CasTJkxg1apV6RYRZAZq3W/UqBE+Pj4Gv1+JDM+dO0dYWJhh30B4MtGvo23atCFfvnwG+1CNkR07drBs2bJs2bOx2WzEx8ezceNGwz0p+6NcuXJA6nExQRAER5599lkWLVqEs7NzisWnrVYrBw4coFmzZnzyySd0797dIFJRc6c6zmQyERQUxMaNG+nQoQMBAQFadxnHHIx7YbPZcHFxMRRwV+v6jh07WLVq1X3PkZbCQuq+w8PDte64guCIo5+vxs3p06eBtBXPuleHWRF8CTmBtApnly1bxvnz57P7dp9Y1LqmunLu2bOHzZs3s3DhQpYuXcqmTZs4cOAACQkJhi51kPkiWkfB7Ndffw3czcXTN1+ZOnXqfc9lt9spUKAALi4uKRbEBLTnkw6zjz6+vr7kz59fW09V/B1g5syZOUqs7+3trTVv0RfdvHHjBhEREeKLC48NMn9mLRJ3FwRBELIDmZ0FIR0UKFCADh06aIaZPmAcFRXF6tWriY6OfiBRYePGjfHz8zNUc1bG4MKFC7WkrowUzOrRG//qXHXq1OGzzz5j2rRpfPLJJ0ybNk3rMCsBl+zBarXy4Ycfsnz5ci1JQR+g0FeLVZ9R3rx58fb2pkSJEhQuXBh3d3fc3Nyw2+3YbDZDJxo9auzExMSwZcsWvvzyS5YvX65d82GCH+rY1Co27du3j/j4+GSBTeHxQs2Tzz77LJAk7FbO5J49ewgPD88Rwi273U7ZsmWpUaOGFgxU3Z0BYmJisvX+BEF4NDhx4gTLli2jffv2vPfee8yYMYM//viDK1eucP36dcNGmMlkIioqiosXL3LixAkmT57M0KFD8ff356uvvuLUqVPa3HMv21OEs4IgCILweJKWjrOA5reEhYUxdOhQEc4+oVSqVAm463frE3Icx0Du3LmBu/66GjsqcVDFKefPn89nn33GwIEDOXHihJZs/SB2ozqmYcOG5M+fX7s/k8nE9evXtQJVqSXlprejUv/+/Tly5Ei671N4fEmt4yzcHZ/q52nTpjFlypTsvFUhG/D19aV79+4pJvCoucVqtTJu3Lgck8Bjs9nw9fWld+/eODs7G+Z5JycnIiIi+PvvvwERGgpJ+4J169alTJkyQJJQRgkGAFatWsWcOXOIi4vLsntT9mxiYqLWfV7ZDVarlVKlStGwYUPDcwiCIKSFewlnLRYLoaGhjB8/HqvVSs+ePVm2bBktWrSgWLFihiKWeuGsk5MTcXFxLFiwgA8//JARI0awb98+YmNj05Q3ovz3IkWKUK1aNe28yp/Zt29fmp7tXv6Rq6uroUh6/fr10/onE54QVIJ6iRIlgKT1VfnjKjflfrlH9xLMmkwmEXwJOYa0CGfnzp3L4sWLuXPnTnbf7hOJKl4/dOhQOnTowDvvvEPfvn0ZNWoUw4cPp1+/fnTs2JHXX3+dfv368eeff3L27FkgfcUr0su9BLNWqxWr1YqbmxsAs2bNIiIi4p7nM5lMVKhQgdKlS2u5fuq+He0NmT8fbZRNWL9+fUwmk8H/NpvNREZG8s8//xjem534+vqSL1++ZOPLyclJKzwoCILwIEjcXRAEQchqRDQrCOmkRo0afPLJJ8BdY03fuePEiRMEBAQApKtiiAo0v/7663h7exs2QUwmE9HR0Rw8eFA7b0YLZh3RO+Xqmbt27aptQEvAJXuwWq107dqVP//8UxPV6D8Hu92O1WolV65c1KhRg759+/LDDz+wYsUKfvnlF3799VdWr17Nr7/+ypw5cxg8eDBvvfUWefPmxcXFxZAE4djV2Gq1cuXKFb788kvmzZtneM+DoI6tUqUKuXLl0oIpaszdunWLhIQE6eCQw3lYB0/Nk9WqVcNisRhE0k5OTly9epUZM2YYRF3ZhRqz3t7eKQapBUEQ7kVoaCizZs2iX79+jB49mrNnz2riAr1QVs0teiGDeo963/Hjx/nll1/o0KEDX331Fb///rv2Hv0xekQ4KwiCIAiPJ2npOAtG4eynn34qwtknkOrVq7Ns2TKDCFYfV1IV7evWrYufnx+5c+fWxpGKFel/joyMZP369fTv359hw4Zx4sQJg9+eVvtRHVOvXj2eeuopzTY1mUyEhoayYMEC4N5JuekVzr777rscOnQoPX8+4TEnNeGs6jam4pNTpkwR4ewTiErg6dGjB2BM4FE/qwSelStXZnsCj5pXS5YsqRXMBLS5EODMmTOAxDWFJHx9ffnqq6/w8PDQCgYrwYAa77Nnz9Zi9VmBGsszZszg9OnTmi1gsVgwm800bNgQd3d3iVkJgvBApCacVfNeaGgokydPZvXq1Tz99NOMHDmSqVOn8uqrr5IvXz4gyT9SfpPytRISEliyZAmff/45Q4YM4eLFi4aiA/fywfPly0fbtm0BDAXcV65cqXWwvR+p+UexsbHAXZGNvki6ICjU96BIkSIAhr1wi8VCdHT0fc+RmmBW5QCI4EvIaaQmnFW2qM1mo27dulqROSHr2LlzJ+PGjaNLly6sW7eOI0eOaPvlqpurEpKeO3eOrVu30qdPH3r37s23337L2bNniYuLMxTtzwjuJ5iFu91gY2Ji8PX1ZeXKleTNm/eea67y3QsVKqSdyxGZPx8P1Nh5/vnntRxPfUw9MjKSZcuWER0dnSNyNJydnQ15LGoPwdPTE09Pz2zP4xME4dFG4u6CIAhCViKWqyCkAxXEaNSokbaZoDovwF1jZ+fOnWzevDld51UbHtWqVSN//vyGjWiTyURcXBxz5szBZrNx9erVTBXM6tE7t3pDToy6rMdqtfLee++xd+9eLeEPkjq+2u12ChYsiJ+fH/Pnz2fy5Mn07duXRo0aUbx4cQoVKoSLiwt58uShePHiVKlShR49ejBy5EgWLFjA0KFDKV++PFarVROv6sU3+o4iAQEBTJ06Vbu3h9lQ8/HxITExUQsequtER0cTHBz80OcXMg998HXNmjWasP9BzlOoUCFKliypbUDoncn9+/dz/PhxIHsr6an78fX1BTAkDQPEx8dnz40JgpCjsdlsrFu3juHDhzNhwgQuXbpEbGysoYOWqhgLSd2+9JsP6mc1B6q1MiYmhvXr1/PRRx8xZswYTpw4oZ0zpflShLOCIAiC8HiS3o6zt27dEuHsE8q9OiopceCBAwdo1qwZn3zyCd27d9c2pfV2qb7DQVBQEBs3bqRDhw4EBARoidzp6eZgs9lwcXFh4MCB+Pr6ajat2Wxmx44drFq16r7nuJ9wVr0HIDw8XCtgIwiKlISz+tiPCGefbHx9fenWrZshgcdxfFitVsaPH58jEnjgbrGEF198Ufu3PvE7KCiIhIQE8fMFA0899RQjR47Ezc1NS9xVSbz6rtuTJ08mKioqS+7p0KFD/Pvvv0BSgQ+r1YrNZqNRo0aagFYQBOFBSM0/Umt7eHg406dPZ9GiRcTHx2vCqlGjRtGtWzcgSeSi77SlbIQLFy7wxx9/0LlzZyZMmMCOHTsAY+HqlGjQoIEmnNXboStWrODWrVtpejZH/6hjx44ATJo0SUQ2QqqoManEgfoiW4mJiQQFBREVFZWqn38/wax0mBVyKo7CWbPZbOjM/fLLL2fzHT55/PLLL3zxxResXLmS27dvawJZtV+uurnqm5Go9TI4OJg5c+bw8ccf8+2333Lr1q2Hzp1UpFUwq/I3AwMDKVu2rKG4ZUqYzWZy5cpF69attaYW+vfL/Pn48fzzz9OyZctkjVIsFgunTp1i5MiRQFJOaHbhuBeg9hAgZ3TCFQTh0Ufi7oIgCEJWITtJgpAOlCNYqFAhXn75ZXLnzq1VMlPChqtXr/L3339rx6TVebXb7eTLl49+/frh4uKiOZl2u12raDpq1Cg6dOiQJYJZIeeQmJjI0KFD2b59OxaLRTOqlYDFbrdTu3ZtLehXtWpVvLy8gNSDFPpx+fTTT9OhQweWLVtG//79qV69unZd/TjSJ0dMnjyZH374ASBVcU5ayJ8/P/nz5zd02bNarURFRUnlnRyMPjC2YMEChgwZwqeffsrRo0fTfS6TyUTRokWpV6+eIaitzn/y5EnWrl0LZH9AEJKqOqq/gXJ63dzcsvO2BEHIgSQmJjJmzBi+++47raCK2tRT67ea7ywWi/Y79bO+uywkJbqouVL/u/nz5/P111+zePFi4uPjMZvNKVbNFeGsIAiCIDyepLfjrAhnn1zuJZy1WCyEhoYyfvx4rFYrPXv2ZNmyZbRo0YJixYoZqibrbVQnJyfi4uJYsGABH374ISNGjGDfvn3ExsamKWakbNAiRYpQrVo17bzK7t23b1+anu1ewllXV1dDwmP9+vXT+icTniBS6zjrKBoT4eyTSUoJPI7drHNKAo+ad1XxP8diXBcvXiQmJkbi7kIyXn75ZTp16oSLi0uyDopqDvzxxx+ZMmUK165d047LDDvyzp07rFu3jsOHDwNJBT4A+vXrx/PPP5/h1xQE4cnjfsLZiIgIpk+fzm+//caNGzcA8PPz45NPPmHOnDm0b9+e/PnzG/I6IElU4OTkxI0bN1iyZAndunVj/Pjxmnj2XqL/mjVrGgRCAAcPHuTq1atA2kQK+mO/+uorVq9ezauvvqrdp9gBgiNqTDz11FPaHhUkjevY2NhkQi5FaoJZ5YdLh0Qhp6OEs6VLl9bm9ClTpkhn7mxg4cKFfPrpp1y6dEkTzugL7MHdOUX5Kuo19R6V43bixAkWLVpEu3bt+N///mcoPPEgn+e9BLNqT14vmH2Q/M1SpUqRP39+AMOzyvz5eFKpUiVDEXVI+lz/+ecfli1bBmRfzqTdbicoKIiQkBDtNTWWS5QogbOzc4Z2cRYE4clF4u6CIAhCViCiWUFIJyp40rZtWxo1amQQPSjncNmyZaxfvx5Iu/Oq3le2bFlKliwJoFUlVVXSli1bRkhIiAhmnyDsdjszZ87kf//7n0FkoxfMNmvWjHHjxtGiRQvy5s1rCKiktuHmOC4TExNxdXWlV69ejBgxgq5duwIYOsCqpASVHDF9+nRmzZqlXedBhDQ+Pj6GxEtAqw4eGhqa7vMJmY9+fM2fP59vvvkGgPPnz/Ppp59y5MiRdJ1PffbNmzenYMGChg04NZcFBgayYsUKIPsCgupe1LjUdxl3cnLS5m1BEAS4u34OGjSIRYsWcenSJQBtUw/QBK9qLklMTNQ6zqr/qyr1+rVfv/mn3qPmp/379zNjxgyGDRtGTEyM1n3DERHOCoIgCMLjiXScFdJKaonhNptNK9w3efJkVq9ezdNPP83IkSOZOnUqr776Kvny5QNIJqRRdmJCQgJLlizh888/Z8iQIVy8eJG4uDjt2vcaY/ny5dM6KumrSa9cuVLrYHs/UhPOxsbGAneTyyThUbgXqQlnQTrOCqkn8Oh/zikJPIAmKnQsyAXg4uIiyTtCMtzc3OjWrRvNmzfX9iFT6jg7b948vvvuO/bs2QM8XGHV1FiwYAGBgYGAMRG9Vq1aNGjQIEOvJQjCk01aOs5OnTqVjRs3GgQ3devWZfDgwSxYsIBXXnlF2ydU85XeV1Ln/Omnn/j8888ZNGiQ1rUTknwTNZe2bt2aevXqaXsDTk5O3Lx5k4kTJ2pFM9OC3j8qX768di2xAYSUUOPCx8dHy09Sr6u8pLCwsGTH3Uswqz8WRPAl5GzKly/PxIkTKVy4cDLBrIzVrOHnn39m1KhRQJIwVq2NjjlljvvqKo6o31N3cnLi8uXLDB06lBkzZnDs2DEg/XHw+3WY1c97D5O/WbFiRZo0aQLctSekw+zjiRp73bt3p06dOppwVv3Obrdz8+ZNNmzYwMGDB7PtPk0mE+Hh4YaCGcrOrVatGq6urpKfLAhChiFxd0EQBCGzccruGxCERw21wWGxWPj44485d+4cx44d04IqykCbNWsW5cqVo1y5cuk6f5kyZWjRogXff/+95niqDWdVGU0Es08OO3bs4I8//iA6OhpAE8uoTbI2bdowZswYwzEPYnQrgbbZbKZcuXIMHTqUIkWKMHXqVG7fvq0FAR0r+EyYMIFcuXLxzjvvaL9P6/XVePXw8NDuWwWAbDYb+/fvx9/f39B1VMheHAWzauypjeTTp0/z1Vdf8eWXX2rdYe6HCi6XK1eOokWLGgoD6MfaokWLKFWqFDVq1Mich7sParxeuXIFwBAUNJlM5M6dO1vuSxCEnIfVaqV79+7s3r1bC5DpN9+ULefq6oqbmxsvvvgiRYsWpWrVquTOnZvcuXNjMpk4ceIEYWFh/PPPP1y5coXLly8DaPam2pRQa7TNZiM0NJRff/2Vc+fOMWfOHDw8PAwbeQp1PyaTSdv0Bdi9e7c236kEISWcBTT7IKVzCoIgCMLjiqOfm5PXwZTW+J9++olDhw4Z1nhH4eyYMWPw8/MzHC883qjE8M6dO5OQkJAs5hMeHs706dMxmUy0atVK67ixdetWdu7cydy5c7UCL3rbVCWtXbhwgQsXLnDgwAGaNGlCo0aNqFOnjkGgm9L3qEGDBrRt25aVK1caYgIrVqygatWq+Pj43PfZ9OP4008/JT4+niVLljBp0iRJLhPShBLOAsydO5e4uDhtLOrHpRLN9u3bNztvV8hiVAIPwOzZsw1JO46V7+Fu8dU8efJk6T3qO9JAUvE/NT9GRUURGRmJq6urzIVCMnx9fenfvz8RERFs27bN0N1JP95Xr17NlStXaNWqFe3atcNsNj/wHqXjuqxEuXB3HKsYlaenJ02bNqVy5coZ9ryCIAiQNv9o6tSpALRo0ULzS3LlykWpUqUYN24cJ06c4LfffmPFihUGu0Dtd6q59Nq1a6xbt46jR49Su3Zt2rdvr81rZrOZ+Ph4XFxc8Pf35+TJk4SEhGg+/OnTp9m1axf169dPc2zCca2XtV+4H97e3ri5uREfH6/ZkVarlbCwMEJCQihdurT2XukwKzxuVKhQgbVr12o5TDJWs47169cTEBAAoHWXU3NQkSJFKFCgAG3atCFv3rwUK1aMa9euERYWxpEjR9i1axdBQUGAcR9d3zn+559/5tSpU3Tr1k2Lg6dlLb1fh1l9cYCHyd9U13nnnXc4ePAghw8fJj4+HpD583FDH7tu06YN//33Hzdv3jQ0R7HZbOzYsYPChQtTvHhxrZBlVmGz2bBarWzcuNFwT6pou8qFlvEoCEJGInF3QRAEITMR0awgPAAqsOHj40OrVq24dOkSERERmggC4OLFi+zevZty5cqledNCva9ly5Zs2rRJq3LmWKFZBLNPDhs3buTEiRNAktGtjO0WLVpoosWMSNpVhroy5P39/SlQoADTp0/nzJkzhqriekdk7Nix+Pr60qxZs3QZ++q91atXZ8uWLVqQRY33iIiIHJuI/CSSmmBWjQOTyUSuXLk4fvw4EyZMYM6cObi4uKTp3DabDQ8PDz799FN69OjB7du3tc9ezamnT59m5cqV5M+fP1u6ulosFoKDg7Xvo178Vq1aNZ599tksvydBEHIeVquVnj17snv3bkP1W31X2Tx58lC4cGH69OlDyZIltQrvjlSpUgWAd955h9jYWFasWMHRo0f5448/tArfeuGLmqMtFguHDx+mc+fOTJ8+nSJFiqS4YZGSqMZut7Nnzx4RzgqCIAjC/6NfQxcuXEiFChWoUaNGjl4H7yecVX69CGeF+yWGR0REMH36dMxmM02bNiV//vz4+fnh5+dH/fr12bRpE5s3b+bGjRvJisTAXbv0xo0bLFmyhIULF9KzZ0/q1atHnTp17vn9qVmzJqtXr9bsXICDBw9y9epVfHx80vT904/jr776ig4dOkhnJSFdiHBWuBf3SuBxrHwP2ZPAA2iFOPXzsxIyqDiF7CkJKVGoUCE+++wzhg8fzq5duzThrEqcVcKvPXv2cP78efbs2cOIESNwc3NL97X0e5shISEsXbqU6dOnA0nJ8oBWRLZTp07av2U9FwQhI3kQ4awqGJArVy6qVatGtWrVeOmll9i7dy+LFi3izp07AMn8bLPZTFBQEEFBQfzyyy/06NGDmjVrUq9ePW1vtVy5cpQoUYKQkBBNoHD9+nX++OMP6tevn2NjEsKjT9GiRSlQoIBWyBXujlmz2UxcXJz22v0Es9IhUXhUEcFs1nPixAnmz59PTEyMtv6quGCDBg3o0qULVapU0T4bgGeeeQaAdu3acfv2bQIDA9m9eze7d+/WfBa1jlssFmJjY9m9ezfnz59n8ODBtGzZUstRS21NvV+H2YwSzEJSPmDBggVp2rQpZ86c4c6dOzJ/Pqaoz7Fu3bqUKVOGmzdvan62itUkJiayatUqvL29+fDDD3F1dc2Se1PjPjExkaNHj2qvwd1cmFKlStGwYUPDcwiCIGQUEncXBEEQMguJpArCQ+Ds7EyTJk0oUaIEkCSmNZvNREdHM3v2bK5fv64FWu6HPgjy9NNPa+fUO5kWi4WEhAS8vb1ZtGiRCGYfY3799VeWLVsGJHWCVf/Vr1+fYcOGAWhJrxmFMtwBmjZtysCBA6lWrZqhorf+ularlcDAQA4fPpyu66h7LlSoEIAmAFJd+YKDg7l27ZrmXAjZx70Es/puMrGxsfj6+jJixIg0C2YBLfBdunRpmjdvbkiGUedWVew2btzIrVu3MvDp7o96xuPHj5OQkGCY6+12O4ULF07X8wqC8HiSmJjIwIED2blzp7ZuQ1LlTbvdznPPPccHH3zAnDlzePXVV7XEfb0gADD8nCtXLnx8fOjVqxeTJk1i3Lhx1K1bl9y5c6doA6oknlOnTvHuu+9y4cIFQ2EXPXpxQ+PGjenSpQs1a9bUzqPWar1wNiAggCtXrqTZvhUEQRCERxVHweyoUaN4++23OXToUI5fBx3X+J49e1K1alXN39cXzdILZ7du3ZrseOHxRiWGOzs7J4v56BPDHX3xunXrMnjwYBYsWMArr7yiFbdSNqeyP1WMB+6Ktz///HMGDRpEUFAQUVFRQJLtq75TrVu3pl69epqN7OTkxM2bN5k4cSLx8fFpjoHpx7EIZoUHQQlnu3Xrhqurq5aUoTotqWriU6ZM0cSzwqOF3k9OyWe+FyqBp0ePHgCGMeGYwLNy5UoiIyMz7sbvg3qWmzdvAkn7VmpOLF68OL6+vrKnJNyT4sWLM2LECBo2bIizs7MhBqVP/Lp58yZr1qyhU6dOLFu2TOvwpFD7Pgq9CBaSxueaNWv45ptvDIJZZQvYbDZef/11hg4dql1f1nNBEDKDtPpH69at0/wj/dwI4Ofnx6BBg/j5559p1aoVZcqUMezx6wW0SmgzY8YMPv74Y0aOHMmZM2eIjo6mQIEC9OnTR7MplJ2xcuVKNm/enA1/HeFJQI1jNe4gSRBjtVq5dOmS9rMIZoXHHRmrmY+ac7Zt28apU6cAYyHqZs2aMX78eOrUqYOHh4f2frWmwt012tPTk969exMQEKD56Ep8qBfG2mw2QkJC+OSTT7RcPJXz44iKm0PKgln1c0Y2PLHb7bi4uPDmm2/SpEkTpk+fLvPnY46vry9fffUVHh4emthbfQeU7Td79mxmzJiR7rjVg6LG/YwZMzh9+rQ2ni0WC2azmYYNG+Lu7p6j98cEQch+JO4ucXdBEISchohmBeEhsNvtFCpUiC+++EJLnFEBFScnJ65cucLYsWOJi4tLc0KXCij36dOHggULGoLRKiHHzc2NGTNmULZsWRHMPqbcuHGDDRs2AEnJAXB3fJQsWRJ/f3/y5s0LkCmfvz4w6OfnR58+fahevXoy4ax6z/Hjx1m/fj3h4eHpvlapUqUwm804OTlp49xutxMSEsKtW7ck8JfN3K/DrJrvlJh/4cKFlC1bNlkyzP0wmUx4eHjQpEkT8ubNi91uN1R/dHJyIiYmhhkzZrBhwwYtuTazUfcBsGLFCmJiYrTvY2JiIt7e3nTu3Fl7ryAITyY2m43vv//e0Dldbaapn1999VVGjx5Np06dyJcvn2EjQS8mAONGrKMN+dprr/HFF18wdOhQfH19tQ0UhX7ePHv2LP369SMsLEwrQOCICGcFQRAEITmOftCoUaO0373zzjscPHgwx6+DIpwV0sqDJIbD3eIupUqVYty4cYwZM4bOnTvj6uqqfTccOzoAXLt2jXXr1tGrVy++/fZbjh07Zui2FB8fD4C/vz8FCxbEZrNpNunp06fZtWsXQJq/e44xJYkxCeklNeEsIMLZR4yU1jTHYqX3e78jqSXwqMIB2ZXAo4obbtmyBUgSGKrn9fT0JD4+XtZ54b4UK1aMzz//nNdffz1Z8QD9uLJYLJw4cYLx48fTq1cvfvnlF63IqponFWocmkwmrl27xt69e+nduzdjxozhjz/+0I5JTEzUrtOiRQvGjh0LZHwRWUEQBEce1D/Sz002m41y5coxbNgwJk+eTJs2bcifP792HmV3qJ/tdjthYWEsXryYQYMGMWrUKIKDg6latSpvvPGGFttX+wg7d+7U5khByEiUsKxYsWJA0rhWdmNYWBhwd60WwawgCA+L2Wzm+vXrBAYGEhsbi8Vi0fbV69Wrp4kJ9e8HDP6tWkednJwoUqQIgwcPZsyYMVSqVEnzK1T+m/JdEhMTGTZsGPPnz9fO54h6bfHixQbBbGJiIiaTSZvrMkowq65ps9nw9PRk5MiRvPzyy4DMn487Tz31FCNHjsTNzc2Qd6yPO06bNo3JkydnWZ7coUOH+Pfff4GknDmr1YrNZqNRo0aagFYQBAEk7i5xd0EQhEcDp/u/RRAePzJKaKoCFlWrVqVXr15Mnz4dq9Vq6OZ15MgRdu7ciZ+fX5oCGeqc3t7e1KlTh19//TWZyMHb29sQGBIeP65evcr+/fuBpAo1ahxUr16datWqZfo96Cvd1qlTh8TERCZNmsTRo0cNm4QWi4W4uDhWrVpF48aNqVGjhrahkhZKly5Nvnz5CA0NBdACmjabTXtNyB7S0mFWBYO9vb1ZsmQJpUqV0pzTB6FOnTr069eP4cOHG6pDqZ/v3LnDxIkTcXFxoWnTpuTJkydjHjYV1POvXLmSffv2aUF31WW5ZMmSFC1a1PBeQRCePDZu3MimTZsMxU70gtnWrVszatQow9z4IBsJal4uU6YMZcqUoVatWvTr14/Tp08bzqvEBU5OTpw+fZru3buzaNGiVLvT6tf8xo0ba6/v2bNHe79a+5VwFmDo0KEUKVIkXeu+IAiCIDwKKNt+3rx5BAQEAGibcfHx8fj7+xMYGMhzzz2Xo9fBlNb42bNnc+jQIU3UqC/2cevWLYYOHUpAQAB+fn6G44XHG5UY3rlzZxISErTkHMfEcIAWLVrg4+OD2WwmMTGRXLlyUa1aNapVq8ZLL73E3r17WbRoEXfu3AFINo7MZjNBQUEEBQXxyy+/0KNHD2rWrEm9evVwcXEBoFy5cpQoUYKQkBAtHnb9+nX++OMP6tevn2O/c8LjiRLOAsydO5e4uDgtNqZP0FCi2b59+2bn7QopoNbq2NhYYmNj2bBhA1evXmXv3r3A3SIAHh4e1K9fnyJFilCvXj3t2PvtJakEHri7xqoYpuP4GD9+PABt27bN1Himut/z589z8+ZNbT5XSY4mk4kmTZrg4uIiyTtCmihYsCAff/wxpUuXZurUqdy5c8ewP6DGl9lsJjIyktu3b/Ppp5/i7e3N888/T6lSpahduzZOTk54enoSHR3N8ePHtUIaVquVsLAwbW1X3xllP7z11luMHDkSMBYrEARByEwexD/So+Y0Dw8PPDw8GDNmDDt27GDXrl389NNPmh+uj7sr/+rUqVOcOnWKbdu20aNHDywWC7lz59aSgBMTE1mxYgVvvvkmFSpUEJ9dyFDUOluiRAkAgx2ZmJioiWF37txJt27dNMGsWrtVoW0QwawgCPdG+ekbNmwgNDTUIEj19PTkzTffxMvLK03nUvOLOmebNm0oXLgwq1atYuPGjcTHx2vnVx08rVYrY8aMITExUYv5OHLz5k1NOAhJIp+M7jCrR9kQzs7OyZ5PeHx5+eWX6dSpEwsWLCA+Pl6zEfVxpR9//JHY2Fi6du1KoUKFgMxZX+/cucO6deu0Qlgmk0nLgenXrx/PP/98hl5PEIRHG4m7S9xdEAThUcFkl9lZeEL49ddfOXv2LAMGDMiUxKrDhw8zcuRIjh49akg6hLsdwcaNGwekz2HdunUr7733HmDs/Gm322nRogUTJkzI8OcQshe73U5CQgKffvop69atS5Z84OHhwYoVKyhVqlSWbS7or7Np0yZGjRpFSEiIIXlBJTBWqlSJn376KdnmYGokJiYSExND27ZtCQoKMlT4s9lsvPfeewwYMEA2UrKBtAhm9R1m9YLZBw0G6685duxY5s6dC6DNqepnq9WKu7s7/fr1o0WLFlp15swaJ1evXuWbb75h8+bN2j2ov8GkSZN49dVXM/yagiA8OsTGxvLpp59qHeJVtXdlC7Zq1Ypvv/0WyNh5SgUfb968yTfffMPff/+tVRfV241q3qxXrx5Tp04lV65cqYp79Pe3efNm5s+fz549e7TzqLnYbrfj5uZG/fr1RTgrCIIgPLZs2rSJfv36AeDq6kpcXByQVDjIxcXlkRDOQvI1PiXhLBgLuSnhrOPxwuPN4cOHkyWGQ5JN6eXlRZ8+fZIlhjt+B06fPs2sWbM4evQo586d04QvKfn3JpMJLy8vmjVrRqdOnShcuDDu7u7s3LmTnj17Ggpqmc1mJk2aZCj0IghZxe3bt5kzZ45BOKuSxvQ/9+3bV4SzOZCgoCAmTZrEmTNnOHXq1D3f27hxY2rWrEnbtm3TXLw0NDSUuXPnMnv2bIAUY+dOTk58/PHHmZbAo1+vR44cyeLFi4GkLjxq/p0zZw5169bN8OsLjzeJiYns3r2bjz/+mJs3bwLGsaUvsqoXverRJ5PpbQP1PlWoEu4WLGjXrh2DBw/Wrp8RSeiCIAjp4UH9Iz2O89eBAwdYv349W7Zs4fLly9p8qN9/Ved3c3OjYMGCXL58WZsf1e+aN2/OyJEjpdC6kKGoNXrKlClMmTJF2xNXxVrff/99atWqRffu3Q0dZkUwKwjCgzJo0CDWrVtn8C3KlSvHkiVLHmiN0885Z8+eZe3atcyfP5+YmBhtrVXrrlpbBw4cSK9evZIdD3dtgcWLF/Pbb79htVq1fYLMEMwKTzahoaGMHz9eG2v6vDT9eH399dd58803qVmzJpA8Lv+wzJgxg++++y7ZdWvVqsUnn3xC5cqVM+xagiA8HkjcXeLugiAIjwI5N5tLEDKQefPmMXToUGbNmkWnTp34888/CQkJAUi2afugPPvss7Rq1QpACxyroMjatWsNhlJa8fPz086p7lNVGt27dy87duzI0GcQsh+1oXD58mXA2GXWZDLRvHlzSpUqZUhCyIp7UmPslVde0ZK+9FW9VRDw4sWLrFu3DkBzBu6F2WzGw8ODZ599Ntm1AG7duqW9LmQd9xLMWq1WLYickYJZMH7+HTt2pFmzZkDSnKp+dnJyIjo6mkmTJrF06VLOnj2b7PiMwm63s3TpUk0wq9+0bteuHQ0aNMjQ6wmC8OixbNkyTTCr5kAlmG3YsCFff/01gFYdN6NQlefz5cvHsGHDaNmyJfny5dOur66l5tA9e/Ywffp0LcEnJfTzaOPGjenSpYu24aKfi/UdZwMCArhy5YqWNCEIgiAIjwsmk0lbB+Pi4rR1PiEhAWdnZ63j7MGDB3P8Oui4xvfo0YOqVatiMpkMa7zqEhYWFsbQoUPZunVrsuOFxxvVUcnZ2TmZTanvqLRu3TotZgMY7EuV3DZs2DAmT55MmzZttGJX+riB+tlutxMWFsbixYsZNGgQo0aNIjg4mKpVq/LGG29om96qOM3OnTux2+05+jsnPJ6ojrPdunXD1dU1WWxU/awSzIWcwenTp5k7dy4dO3Zk3bp1WuKOk5OTFnNXMXk1P23evJlx48bRuXNnDhw4oHXOvheq8n2PHj0AY+xcL/4fP348K1eu1LrFZST6Ahnr168HjHEKuFvgVRJ3hAfBYrFQp04dlixZwhtvvEHJkiUN+5bKXlTxL/13y8nJSdvbVN87s9ms2dDKBlXJuDVr1uSjjz4SwawgCNnOg/pHehznr2rVqjFw4EACAwNp2bIlZcqUAdCSfvV+ekxMDEFBQSQkJGhzrtqjPHHihJbvIr6RkNFUqFABwBAvAvjtt98Mgll9ESERzAqCkF6ioqI4c+aMwUcAePHFF/Hw8NDmmPSgj2OXLVuWd955h48//pjcuXNrQkS11iqffeLEiVpBf31hbLhrC3Tq1IlmzZrh5uZGXFwcPj4+IpgVMhxfX1/69+9P/fr1tbw0Nbb0MabVq1czadIkli9fDiTljDwIjns+8+bNMwhmlf2bN29emjZtKoJZQRAMSNxd4u6CIAiPEiKaFR575s+fT0BAAHC3M8jBgwf56quvGDZsGHv27DEEaR90Q0E5kf7+/rz++usAhupkcFc4e79KKimhFxOq4I7NZiMkJIR9+/ZpvxMeH3bt2sXBgwcNn6sSKlarVg0gQ6uEpQV9RZx27drRu3dv7b70G4RRUVH8/fffab5Hdayqvquu4ezsDNytthsZGSmbfVnI/QSzkNRZKSMFswp17RIlSuDv7691NlIbxHa7XXN479y5w+zZs5k2bRo7d+7Ujs/I8TJ//nxmzJgBGAWzTz31FI0aNcLFxSXDriUIwqPHf//9x7Jly4CkjQPVMaNixYq8//77uLq6ap0zMhrVqcvLy4uBAwfSpk0bfH19AaNda7PZiI+PZ8uWLZr4JTVEOCsIgiAId2ncuDE9e/bUNrj0Ps/jIpx97rnn7imc/eyzz9iyZYt2vPBk8LCJ4WoseXh4ULZsWcaMGcPYsWPp3bu3wWZW3xlVDRrg1KlT/PLLL3Ts2JGlS5disVjInTu3du7ExERWrFjBqVOnDJ2eBCGrSE04q4RieuHs1KlTs/luhW3btjFhwgQmTZrErVu3NOGeyWTCarVqezjq89Ovh3B3Tvrwww9ZtmwZV69eve/1UkrgcUzIzewEnsuXL7Np0yYiIiIADPOsq6srtWrVyvBrCk8WJUqUYOjQoQwfPpyXX34ZQNu3VHMgJBWUS0xM1Pa39N87vT2gfgd391kHDhxI586dARHMCoKQ/WSEcNaRXLlyUbRoUcaOHUtAQAA9e/bEzc1N85FU3F8fi9f75CaTifPnzzNr1iwg6/MGhMcXNc7y5s0LGHNBzGYzwcHByTo0qrwBEMGsIAjpIzo6mmvXrpGYmIjNZtNycby9vQEM/kV60M89+fLl44033mDEiBG4u7trfjoYRTdjx45l0aJFAJqPohfO+vv788ILL+Dr68uCBQtEMCtkCoUKFeKzzz6jdu3aBuGsimOp8bZnzx5++OEHhgwZQkxMzAONQ33B95CQEH744Qctv1rFOuHuet6mTRs6deqk/VsQBEHi7hJ3FwRBeNSQ6KnwWOMo+FKdtUJDQ9m6dSvvvPMOP/zwA3v27AF44GQrR0Hh008/DaAZfQBHjx7VrpOeJMq3336b559/3lDJTDm7M2fO5NChQ+m+XyFnc+PGDcA4Hi0WC4ULF6ZOnTrZdl/6BODOnTtrCRHqNeXYbNu2jd9++y1N51TP99RTTwF3n9PZ2Zm4uDgA+vfvT548eWSzL4vIbsGsI9WqVaNTp04GsZZjR5rY2Fh+//13AgICWLlyJZC86m1a0b8/Pj6eWbNmGYKCaqw7OTnRsmVL6TIrCE8waj44c+ZMit3hnZyceOmll7T1LTMTA9T67OnpyXvvvUezZs20hAY1r6l58fTp06xZs0a719TmyQcRzo4fP57Lly/Lmi0IgiA8Fqh10M/PD39//xSFs1ar9bEVzsJdv+fmzZt8++23nDt3LrtuWcgmMioxXNmdderUoX///ixYsIDOnTtTtGhRg03q2JEuNDSUSZMmsWPHDmJjY7Wx6+TkRGxsLDNnziQqKkoScIVs4V4dZ/U/T548mdmzZ2fnrT7R/Pbbb4wcOZJt27ZpCYQqWQeS/HR9sVK1z6NPtrlx4wbTp09n4cKFBAcH3/e6qSXw6AsBZlYCj91uZ+PGjaxZs8ZQvEs9T5UqVWjTpk2GXU94cvH09KROnTpMnz6dgIAA2rdvDyQJZdXY03eVcOwwoQSziYmJeHt7U7NmTaZNm8Ynn3yiFY/NrCJ0giAI6SWjhbPK5rBYLFSpUoWPP/6YadOm8d577+Hl5aXtyaq50hFV0Hfbtm3a/oQgZBQ2mw0PD49ka7A+3qUKYkiHWUEQHga9MB+S9rNz5coFZJw4z83Njddee42xY8cahLNK2KPiOF9//TU///yz4V7UPVSpUoV+/fqxatUqypYtK4JZIdMoXrw4I0aMoGHDhjg7OxvGmrIfAW7evMmaNWvo1KkTy5YtIygoyHAex07NehEsJOUer1mzhm+++Ybp06cDxkLxNpuN119/naFDh2rXl/VdEASJu0vcXRAE4VFEMpqFx5Z58+YlE3wpp05tygJMnz6dYcOGMWHCBOLi4jTjLb1JjipgUqVKFWrXrg1g2BhOSEjghx9+4Pz582kW56rksebNm5MrVy7NyFNOsN1u599//zW8V3h00QusIcmBUOJrb29vrXtcdqHGua+vLw0bNjRsmKiKtyaTiWPHjgH3D2KqZyxXrhzOzs6YTCZtY2XKlCk0btw4sx5FcCC9gtnFixdnqmDWMUn9hRdeAFIWzlqtVk6ePMnnn3/OmDFjOHnypFYVL61zo76K3pEjRxg/fjwTJkwAklfRe+ONN7Ruyzk5IV4QhMzDbDYTHR3NnDlzDNU71eaar68vHTt2xM3NLcvux2azkSdPHvr27Yufnx8Wi8Wwoafu8Y8//mDx4sXa/aZGeoSzcXFxrF+/nm+++YbY2NhMe05BEARByCr062CDBg3o0qUL9erVA1LvOPvOO+9w4MCBx0I4q2waHx8fGjZsaOj0KTw5ZERiuGO8oFq1agwcOJDAwEBatmxJmTJlgKQkOf04jImJISgoiISEBG3MKh//xIkThISEAOKXC9lDSsJZlXCpxquHhwchISFERUVl890+eSxfvpzPP/+c4OBgbU7RF8PTx0FVxXuz2aytgep1teZHRESwfPly1qxZkyYhTEoJPGo/KjMq36sxt2HDBsaPH68JGPSJSEWKFGHo0KFapxJBeFjUuGvVqhUjRoxg6dKlDB48mKpVq+Lp6am9R99xVv1bfR+ffvppGjduzMSJExk/fjwNGzY02A6SjCsIQk4io4WzKr6u5sQ6derQr18/li1bxhtvvEH58uWTdeaGu7aMKj49fPhwihYtmhmPKzzBmM1mihcvTsGCBQ2dFh07HkuHWUEQHhaV+6jvTgcQGhoKZHweZOPGjZkwYQIeHh6Grp1qLQcYMWIE69evB4w5ewCVKlWiQIECUtxHyHSKFSvG559/zuuvv24o2KdsQ31xqhMnTjB+/Hh69erFL7/8wuHDh4HknZr1IrZr166xd+9eevfuzZgxY/jjjz+0Y/S+e4sWLRg7dixgzA8RBOHJReLuEncXBEF4VDHZM6oskyDkIH7//Xc++ugjgHsaI6qKsUpmqV27Ni1atKBRo0bky5cv3QFd9f7w8HA6duzI+fPnsVgsWqDHarXy2muv8cUXX2gdwNLChQsX6NChA+Hh4dr5VPWVkiVLsnz5cjw9PSUA/ZjQr18/Nm3apI1L5Vy8+uqr/PDDD6lWlc1qEhMT6d69O7t27Uo2Lr28vFi+fDnFixdP07lOnDiBv7+/5qjIxkrWci/BrAqIqY0vHx+fTBfMpnRfO3bsYMGCBWzZsiXZvalgoBL3Vq5cmeeee44+ffrg6empOat6R12fjKueQXWX/eeffzhw4IB2HXWMCgoqMa1UjxSEJ5vz58/To0cPrl27pgX7VJL0kCFD8Pf31+aerEJd79atW/Tt25f9+/cbbGE1V5YvX57Ro0dTuXLl+55TPxdv3ryZ+fPns2fPHu18ZrNZS4yYOnUqjRo1yqSnEwRBEISsR78Obt26lcDAQLZv3w6gVc5VhdmUgDYwMJBq1apluR2QXhzX+NmzZ3Po0CHN//H29ubNN9+kY8eOFClSJDtvVchmDh8+TOfOnUlISDAUAlS2pZeXF3369KFFixb4+Pjc93xq7CUmJnL8+HF+//13Fi1aREJCgqEa9L2KDtrtdlq3bk1AQECGPqsgpJfbt28zZ84c5s6dS1xcnKHg3FtvvcVbb70lQoYsZtGiRXz99dcAKc5ZioIFC5IrVy6cnJy4evUqVquV+Ph4LSav4t3qPImJifj4+DBgwABat26tJfXei9DQUObOnat1HNYXJ1Q/Ozk58fHHH9O2bVvy5MmT7udV9sa2bdvo1auXlrij7+bt4eGBv78/3bt3x8PDI93XEIT0cvr0ac6cOcP169c5evSoNk6tVit58uShcuXK+Pj4UKdOHRmTgiA8cmS0f6RHzZcxMTFcv36dBQsWsGnTJq1gkJubGzExMYCx+LTspQsZTVRUFG3btiUoKEizi/X+uQhmBUHICGJjY2ndujUXLlwAkoo91qxZkwULFmTadbdu3crAgQOJjo42+M/K9y9evDhfffUVL774YqbdgyCkhfDwcFauXMnUqVO5c+dOijnQ6nuj1mlvb2+ef/55SpUqRe3atXFycsLT05Po6GiOHz/OtWvXWLduHVarlbCwMC2PTsWp1PneeustRo4cCRhFaYIgPLlI3F3i7oIgCI8yYs0KjyWRkZHkyZOHuLg4rRuBMrr0QkT1b+UA7tq1i1OnTrF8+XK+/PJLnnrqKa2bRlqSHVXCl5eXF19++SWDBg3SHExlLB08eJATJ07wwgsvpElwZbfbKVWqFO+//z7ffvutQeTr5OREUFAQM2fOZMCAASLeeky4c+dOiq8XKlQoWQXP7EKN3ffff5+TJ08SERGhCWaVcxAWFpZm0exTTz2Ft7c3kZGRssmXxaRHMJsVHWb16OdtlUCTN29efvnlF825VXOrqgSZmJjIsWPHOHbsGH/99Rd16tThlVdeoUKFChQsWDDZPB4REcHFixfZunUr//vf/zh58qT2O0dH9/XXXzdU0ZM5VxCebLZt28aVK1cAoxAf7q5rQJYLZZRN6+Pjw8SJE2nfvj0hISHafKbu78KFC5w8eZLKlSvf18bVz8X6DvB79uzBbrcbEiNEMCsIgiA8bujXQT8/P+317du3az5BYmIiVqtV85v8/f0fCeFsSmv8nDlz2L9/P56enrRr144OHTqIYFbQOio5JoY7dlQC0pQYruJHFouFKlWqUKVKFerVq8fevXtZtGgR4eHhAIZCcnpcXFyIi4tj27ZtXL58WQSJQraiOs7C3bhaTEwMvr6+tGnThvbt28scmsUEBgYyevRowBjbVIkybm5u1K9fn5dffpm6devi7e1NYmIiV69e5fr16/z000+cOnWKGzduaOu86oppsVi4desWU6ZMoXr16pQtW/a+67yqfA8we/ZsQ2EAx8r3QLoTeNT1d+7cqSXuODs7G5KUzGYzzz33HC1atJDEHSHTUd+bcuXKUa5cuTQfl5NtZkEQBEcy2j/So+ZCNzc3SpYsyRdffEGTJk3Yv38/M2bM0HIIZC9dyGxcXV2pXr06ly9f1opaKVThOBDBrCAID46aM9zd3YEk8Y3ZbCY4OJiTJ09SoUKFTPEV/Pz8GDt2LJ988olBOKtikFeuXGHWrFn4+PhQqVKlDL22IKQHLy8vunbtSqVKlfj444+5efMmkJSboo+bqxhTeHg4mzdvBuCnn34Ckr5f+rxpVRxdfyxAnjx5aNeuHYMHDwaMnZgFQXhykbi7xN0FQRAedaTTrPBYEhcXx/vvv8+///6brMpSqVKlsFqtBAcHa8mNysBSXwe73Y67uztt2rShQYMGhuphaQ32hoaG8v333/Prr78aKi/a7XYaNGjAjz/+mK7z7d27l/79+xMaGmqotqI65E6ePFm6zT7iKOP9zTff5OjRo1pioApYtG/fnhEjRuSoz/jKlSu8++67nD17Nlm32R49emhBlPsRFRWFv78/3bp147XXXgNkYyUrSK9gdsmSJRkimE3v8fr7jIyMZMGCBUyaNEn7vX5O1Af4HKtYlShRgnz58uHr60tYWBiRkZEEBwdz/vz5ZOfSH2+xWOjYsSNffPEFIFX0BEG4y9ixY5k7d66h6iZAzZo1CQwMzNZ7U/Ps5s2b+eyzz7h9+7ZmVyj7t2TJkixevJh8+fKl6ZyO3egWL17Mv//+C0iSjiAIgvBo4bhWpbWg2b06zqq4j/KfHtWOs7///jsrV66kfPnydOjQQcSIgoHM6Kjk+P24ePEiP/74I8eOHePUqVPJKk+nlpwrCNnN7du3mTlzJr/99htNmzbF399fBLNZTEqxTUiaozw9Pfn000+pW7cuBQsW1I7Tz0OxsbH8/vvvrFmzJtk6rz9XzZo1+fHHH7Xk3vuRWuV7k8mkndPJyYnBgwfzxhtvpCmBR933rl276Nq1a7LEHXXeIkWKMH78eKpXr56mexWEjMbR9pa4kSAIjwuZ2XEWkscqTpw4wa+//kq9evV46aWXAJlThczl4sWLfP755xw4cEArXm02m0UwKwhChjJ9+nQmTZqk7WOr9XTAgAG89957mXrtdevW8eWXXxo6eKp8Nzc3Nzp37kyPHj3w9vbO1PsQhLSg4ub79u0jKCjI0CxI5WqCMWcOjDalypHWd6bV58bVrFmTpk2b0rlz52THCoLw5CJxd4m7C4IgPA7k3IwtQXhAbDYbrq6ufPHFFxQuXNggYlBO4XfffUfjxo01o8wxQcvJyYno6GiWLl3KgAEDmDx5MiEhIZqTqRfhpoavry+vvfYauXPn1gQKqqvtX3/9pVVzSmvwuEaNGrz66qsA2vXVsbt27WLVqlXpOp+Q81Bj0NXVNcXfq4BFTvqMixQpQps2bQAMQRWA69evp/k8Hh4ezJ07VwSzWci9BLPKycsMwazaVIO7CdlXr1697zH6sZAnTx4++OADAgICqFSpErly5TLckxqHKqCtxK03btxgz549bNy4kYULF7Ju3Tr+/vtvLly4oD23vtuN+hsULVqU3r17a4JZqaInCILNZiMmJob9+/dr/4akDQhfX18Aw5qY1ag5sWrVqjRs2BCz2WyoOOrk5ERERATHjh0Dkp7hXqjnA2jcuDFvvfUW1apV44cffhDBrCAIgvDIoF+rFi1axJEjR7SCEvdCvw76+fnh7+9PvXr1AAzF2Bw7zh44cCDFTpk5Cf2zNWnShCFDhtClSxcRzArJUB2VnJ2dDYk4jh2V1q1bx61bt9J0Tn081mazUaJECb788ksmTZrE22+/TYECBbRr5MqVS0vOnTJliiE5VxCyG09PT9577z2++eYbunTpIoLZLCa1YoAqzunl5cXUqVNp06aNlrij5g79HlGuXLlo2bIlgwcP1vxcfUKh+vm///5j/fr12nH3Q1W+79GjB5BUkM9utxuq4I8bN45Vq1YRGRl5z/Ollrij5kgV23R2dmbEiBGSuCNkK45xIokbCYLwuJAZ/pEe/V6s3W6nYsWKDBo0SASzQpZRokQJvvnmG55//nmcnJyw2WwimBUEIcMpVqwYdrvdIJoBWLp0KQcPHszUazdq1IiPP/4YNzc3LY9J5ZXGxMSwcuVKLR8gLXmigpCZlChRgqFDhzJ8+HBefvllAO27o89hU+LzxMRErFarFntSsTL1exXrUrlx/v7+DBw4UASzgiAYkLi7xN0FQRAeF0Q0Kzx2KEOqUKFCNG/eHGdnZ8Pvzpw5w++//86UKVMYNmwYfn5+AJoTqESxZrOZxMREIiMjmTp1KoMHD2bmzJnEx8en2SmsXbs2/fr1086vDxZv27aNs2fPpuk8ygBs3bo1RYsW1c6jd3zXr19PcHBwms4n5EyUo6ASAh0diPDwcCBtDkFWUqxYMSBpQ0SNz1OnThEfH2/o9nkv8ubNq/0sGyuZy/06zCqxaWYIZtWc9e677/LRRx+xZs0aQkJC0nwO/Xz49ddf88EHH+Dj46MF+/QV8/TiWYXZbNaKGOj/c6yCBfDqq68yaNAgbR6XoKAgCHB3HnFxceHOnTtA0ryk1msVFMsJ63X+/Plp1qwZNpvNIOhJTEwkPDycDRs2AEaxwr3Qi2qaNm3KDz/8QJMmTQBJjBAEQRByPvq1auHChXz99dd07NiREydOZIhwViXVqE6zOUk4q66d2j3on+2pp57SioAIgiOZmRiubFI3NzdKlizJF198wfjx4xkwYAC5c+cmJiYGuCuYlaItQk4kT5481KlTh8KFC2f3rTxRpFQMUJ/M4u3tzbx586hZs6bhOMe5Q81BFouFChUq0Lt3b8M6r9+TiYiIYNeuXYbj7kdqCTz6n9OSwHOvxB0V01Wxze+//5769esDUmBAEARBEDKDzBbOKtR5XVxckr0mCJlJiRIl+Prrr6ldu7ZmTzoWsZKxKAjCw9CkSROqVaumzTEqfn3z5k22b9+u+fiZQa5cuWjatCk9evTAxcUFq9WqxfGdnJwICwvjm2++ITQ0VIv9C0J24unpSZ06dZg+fToBAQG0b98eSBLKqnw2fU6c/mclJFM50d7e3tSsWZNp06bxySefUK1aNQDDuQRBeHKRuLvE3QVBEB4nRDQrPJaYTCZy585NkyZNcHd31zoHqt+tXr2abdu20a5dO8aOHcsnn3xCvnz5tAqJ+mCHMqB2797N999/T8eOHdmxYwehoaH3vAd1/GuvvaaJCfQJmLt27eKff/5J0/MoA/Cpp56iePHimnOqF3qdOnVKE+GKIfZooj5Ld3d3AK0rnAoKHj16lFu3bqXZIcgqatWqpXVP0FcAvH37NoB05cxh3E8wq37OTMFsv3792LZtGwCzZ8/ml19+SbNwVhVGAKhcuTI9e/Zk0aJFNGnShHLlygFJAUF1PX0CuH6M6v8W+nk/V65cDBo0iEGDBtG8eXPtnBIUFAQB7s4dYWFhhIaGGopFqLnFy8sLIMfMGX5+frz99ttAkq1hNpsxm82cOnWK6OjodNmO+jlVFfpQrwuCIAhCTsXRDxo1ahRw10/p3LlzhgpngRwlnFWbfHv27GHZsmVERUWl+D5Zy4W0khWJ4eq7WLNmTd577z0WLVpEly5dmDlzpghmhRxNTovbPu6klLgDGBJ3Fi5cSIUKFdK9BlesWJG2bdsaugarxEKAzZs3ax1n0opK4OnevTuQFC81mUzJEnhWrlxpSOBRMc37Je7ou381atRIO1bmS0EQBEHIHLJKOCsI2UWJEiX48ssvqV69uhSxEgQhQ1HzSKVKlQAMgr/4+Hjmz5/P8ePHDbmRGY2Pjw/NmzenRYsWhiYDah2/cuUKEyZMICYmRuY8IUeg9qdatWrFiBEjWLp0KYMHD6Zq1ap4enpq79F3nFX/VrGxp59+msaNGzNx4kTGjx9Pw4YNDbktMtYFQZC4u8TdBUEQHjdEySQ81jz77LN8+OGHjBw5EqvVisViwWazcf36dTZs2ED9+vXx8vKiW7duVKlShb/++ovly5cTERGhJUIqg0gJVY8dO8bgwYOpWbMmb731FnXq1NGup94LSQ6kl5cXL7/8Mvv27dM2QpQRNnHiRKpUqaJ1JLsXNpuN3Llz069fP44dO0ZkZKR2DScnJ+Li4vj++++pUqUK+fLly+g/pZAF6DvUrVixwpCMa7FYiI6OJiQkBB8fH8NYy26UYEgvuFHBRKvVaqh6K2Qv9xLMpuTcZpZgdtOmTVgsFsxmM7dv32bOnDmYTCZatWqVpm4cjs5m6dKlCQgI4OrVqyxbtowdO3Zw+vRpQwdxvYhWPY/VatWC61arlWLFitG0aVNeffVVnn32WcPfLad83wRByH7sdjvx8fHExsamGABzdnbOpjtLjrq/6tWrs3z5cqxWq7YhYrfbOX78OGfPnjXMeWlBgn6CIAjCo4Zau+bNm0dAQACAtll2584dOnfuzKJFi6hYseJ9/R/lX5hMJvz8/LTXt2/frh1rs9mwWq0G4WxgYCDVqlXLUn9eXWv37t34+/sDd2MPLVq00Ap2CcKDoBLDO3fuTEJCghY7dUwMB2jRogU+Pj7pOr/+O2i326lYsSJly5bVYkyyES0IQmrFADMqtmmxWGjYsCHr1q3jypUrWvELJYZJSEjg2rVr6b5vX19funfvjslkYvbs2VrcNDExUZtDrVYr48ePB6Bt27bkyZMHIMXEHavVmmLijnT/EgRBEISsI7P9I0HIbkqVKsVPP/1E7ty5AbExBUHIGEwmE87OznTt2pX169cTFhamxdadnJy4ffs2n3zyCfPmzaNgwYKZNveUKVOGtm3bcvbsWY4cOaK9ruIMBw8e5MiRI9SqVStH5eoJTyaO34HnnnuO5557jm7dunH69GnOnDnD9evXOXr0qDZerVYrefLkoXLlyvj4+FCnTh08PDyy6QkEQcjpSNxd4u6CIAiPI+LFCY8tSsDXqFEjLYlR3ylw1apVrF27Vnt/jRo1+PDDDwkMDKRmzZp4e3trx+grglosFkJDQ9mwYQPdunVj6tSpHD58GCBZ1xB1D61bt6Z27drauVSAJyEhgRUrVqSpqqgKuhQrVoxnnnkGSEogS0xMxNXVlaCgIPbs2SOdZh9R1DgrWLAggGZ4qzETERHBr7/+CuSsrgVeXl6a0FE9g9VqJTY2lri4uGzppCMk536CWRWQzkzBbN++fTXBrPqds7Mzt2/f5rvvvuPAgQPpPr/aeHZzc6NMmTIMHTqUmTNnMmfOHN555x1q1qxJ8eLFDfej/haenp4UK1aMt956iy+++IIlS5bw0UcfJROPiYMrCIIes9mMh4cH7u7uhu7Xam12c3MDyBH2mJq/GjduTJkyZbRgpgryAZw5c0Z7TRAEQRAeZ37//XdNMOvi4oLVatV8EiWczaiOs8oucBTOZmXHWX1V3C5dumivjxkzhrVr1xIdHZ3p9yA83mRVRyV1Xn1RNvHTBeHJJqXYpr76u7e3N4sXL36o2KbNZiNXrly89957uLu7a8Wn4K7/n5iYqFW8T68/rSrf9+jRA0Ar+KoX16gEnpUrVxIeHo7JZEqx0r36G0jijiAIgiBkL9JxVnjcUYJZEJ9cEISMw2azUbRoUTp16oSLi4uh6L2TkxPnz59nwoQJml+c0fvZ6nw1atSgc+fO2j3p4wjnz5/nt99+A3JWrp4gKNT3ply5cjRr1owuXbowbtw4JkyYwLhx4/juu+8YOXIk7du355VXXtEEs5LPKQiCIxJ3l7i7IAjC44p0mhUeW/QCxPr167N161ZDt0Gr1crMmTMpX748Tz/9NHDXyClfvjxTp05l06ZNbNy4kW3btmnOpapoZjKZtC6FkydPZsuWLbz44osMGDBAC5Aow0glKX711VecO3eOEydOGKqj/Pvvv5w7dw4fH580GZIFCxakZcuW7NixA6vVitlsxmKxEBcXB0C+fPnEIHvEqVixIuXKlePs2bNAUkDOZrNx8OBBLl68SIkSJXKM8a2Evfp/KxGjdJnNGaRFMKucvMzsMLt582aD2F+Na4DatWvTvHnzB7qOejY13xYoUICCBQtSu3ZtAMLDw7l8+TIWi4XIyEhiYmIoUKAAPj4+mEwmChQooJ1LRGOCIKQHffKLIigoCMg5QbLExERcXFx45plnNDtUVdIDOHHiBJBz7lcQBEEQMgubzUb16tXZv38/8fHxyTrCZkbH2cTExGzpOKsXzOo3+ex2OzExMUyYMIGEhATatGkjFcWFh0I6KgmCkNVkVWxTzWc+Pj64uroSHR1tEL8AWsX7B/GlVQIPYKh8r4p66BN48uTJg4+PDx988IGh0r36G0jijiAIgiDkDMQ/EgRBEIT0oeLjL774IqtXr+bSpUtaXF353v/++y8///wz77zzjkHAnxHoY/yvv/46586dY8aMGVo+ptpX37hxI61ataJGjRoZen1ByAhSin05xoVSihOJCFwQBD0Sd5e4uyAIwuOMWL7CY40SP7399ts0aNBAE2ep/1++fJl///0XSOoEYrPZ8PT0pE2bNkybNo2+fftSpkwZLSjjKPgCOHbsGDNmzKBLly5s3ryZmzdvGgSzNpsNDw8P2rdvj7e3t1YdxWKxcO3aNcaPH09CQoJW1eR+z9O0aVPq1q0LJDfOatasmdF/RiGNZJTYzsfHh5IlS2rjRI0lu93OoUOH2LNnD5BzKnjeuXOH8PBw4O7fQH2/ihQponXhE7KPewlmExMTs0wwq+8wq6/MmJiYiJ+fH/Pnz9eOe1DUWFPPq57d29ubZ555hooVK1KrVi38/PyoWLEiBQsWxNfXV3uv/lhBEITUUHNn3rx5gaTNNBW8u3DhApBzNhnUfKtsRMeKoXfu3AFyzv0KgiAIQmbRrFkzevbsSa1atYCkOJDdbichISFTOs6qdVidPys6zqYmmLVarSQmJuLm5kZkZCRjxozRfHlBeBiko5IgCFlFVhYDhLvrfLFixShevLgh3qjOGxYWRlxc3APvC6RU+V7FU/UJPMOGDUsxcUdf9V4SdwRBEAQhZyD+kSAIgiCkn2rVqtGlSxcATbAKd/3y0NBQ1q5dy//+9z/i4+Mz/NoqJw+gS5cuvPjiiwBaMxSTyURkZCSnT5/O8GsLQmbhGBeSOJEgCPdC4u4SdxcEQXjckcxo4bHGZDJpCY69evWiRIkSmvjQbDZz584dFixYQGhoqNZhRAVezGYzzs7O9O3bl5EjR9K7d2/NWFLGj/q/qi62a9cuRo0axZdffsmpU6cM5zKbzdSvX59y5coBSV1rnZycOHz4MHPnzr2vUaV+5+7uTpUqVQC0gJCjcSZkLfrP7sCBA1y9evWBzqMCcW3btiVPnjxaAq/qkAzw3XffcezYsYy58QzAsdOscl48PT1JTEzMlCRgIe2ozyYwMDCZc6ucTeXcLl68OMMFs3379jUIZlViuvrZz8+PGTNmJDsuI0iLAMxRaCsIgnA/LBYLefLkoWzZskCS3WU2mzGZTBw/fpyYmJj7imyyCnV/+fLlA5LPd8pmEftREARBeJxR61zDhg3x9/c3CGeVr+LYcTajhLPKRnDsOJsZwtl7CWZVXCEmJgaACRMmUKxYsQy7tvBkI4nhgiBkNlmduANJ9oN+XtPj7OyMxWJ5qLhiWhJ4EhMTDXFctaZL4o4gCIIg5EzEPxIEQRCEtKN873feeYcOHToASUWs1X9nzpwhMDCQffv2ZcoevMobyps3L3Xq1MFisWi+ucrbW7FiBZGRkRl+bUEQBEHITiTuLnF3QRCEJwERzQqPPcpIe+qpp3j++ee115SBc/nyZcaMGUNcXFwygZVKXKxRowb9+vVj4cKF1K1bF19fX81g0xtCJpOJa9eusWXLFjp06MDSpUu1bmMARYsWpX///lgsFqxWq5Z8abPZ2L59O1euXDFcNyWUwdirVy8KFiwIwJQpU8Q4y0b0f/M5c+bg7+/PkiVLCAkJSfe51BgsW7Ysbm5u2uaZEoCbzWYiIyNZt24dERERGfocD8qZM2cIDg42BCzhbrLwwzovQsbw008/MXr0aMDo3MJdJzBv3rwsW7aM0qVLZ7hgdvPmzffsMJtZgllBEITMQhWz8PHxAZKKR+i7wp85cyZDAoUZgZrvS5cujaenZ7L7UsE+Ec0KgiAIjzN6YWvjxo3x9/endu3aQJJwNjM7zjp2tM0M4Wxqglm11jtWxW3WrBkgNoCQcUhiuCAImUV2JO7A3fU9ODiYc+fOaWu1vgONp6dnhsQzU0vgUUU3FCppWCrdC4IgCELOJ63+0YYNG8Q/EgRBEB5Z1P443PVJ9XHutMad9X7sW2+9xQsvvKCdW/3eZDJx6NAhpk2bxsmTJzMtpm2xWOjYsSNlypTR/HHli9+6dStTOt0KgiAIQnYhcfe7SNxdEATh8UdEs8ITg6enJ926dcPNzQ2r1YrZbNaSHg8fPszOnTsBY9BGL6K12+0899xzjBkzhs8++4xq1appgld9h1plNMbExDBq1CgCAgJYvXq1dp7q1avTv39/AE04C7Br1y5++eWXZNd1RBmHzs7ONGnShOnTp9O4cWPtHsU4y1r0f/PAwEC+/fZbEhISWL16NUuXLn0g4azdbqdEiRL07t07mYEOEBcXx/r16zl06BBAtneyu3HjhtapBtDuV4m6ZUxmL8HBwSxfvhy469ymlIxdoEABvL29ATJMMNuvX79kgtms6jArCIKQmaiNuUaNGuHm5qaJZFRBFpvNxtq1a4mLi8tRIhSr1cqdO3e0AJ/C19cXSFt3bkEQBEF4lHEUzr7zzjvJhLNApglnHTvaZqRw9l4dZgGpiitkGSKcFQQho8muxB21Lt+8eROLxaIV2FCV5wGeeeYZIGMKUKSUwKOuoy9UKWu6IAiCIDw6pMU/Gjt2LGvWrEkWtxcEQRCEnIjylZUfbDabtfXNZDIZ9pv1615aqVixIi1btqRkyZLa9ex2u3adPXv2MHHiRE6fPp0hz+NIYmIiuXPn1vIw1XXNZjNXr17l4MGDmXJdQRAEQchqJO4ucXdBEIQnCcmMFp4YbDYbTz/9NB9//DFOTk5adRC4Kypbt24dYExy1KPeW7BgQZo3b86iRYt49913qVSpEmA0ptRGh9VqZevWrXz22WeMHTtW6wz6yiuv8MILL2jdQ5VYbPbs2fzzzz/3fRaz2YyLiwv9+/fn5ZdfBsQ4yy7U33zBggVaJ08XFxdCQkJYvnz5Awln1Tmfe+45KleubAgsKufg2rVrjBs3jvDw8DQl72YGdrud2NhYfvvtN8AotnzuueeoU6dOlt+TkJwCBQowaNAgqlatitVq1QLKas6wWCycPn0af39/goKCHvg6jh1mN23apI1bEcwKgpCT0Nt5D7N+5s+fXzuHfo4D2L17N3FxcYZKeNmNmveVnaH+Dm5ubtl5W4IgCIKQpaQknK1VqxaQJGw1mUyZKpxNqePswYMHH1g4e68Os47dZmWTT8gKRDgrCEJGsWDBgmSJO3B3fyQhIQEfHx+WLl2a4Yk7+mtMnjyZ27dva+um2WzW4pmq+EZGraepVb4HZE0XBEEQhEeU1Pwj9f/4+HhKlSqFs7Nzdt6mIAiCINwTFbdWe+Lnz59n27ZtTJkyhcGDBzNkyBD69OnD+++/z8SJE5k7dy67du0iIiIiWeHm1AQwyrd94403aNmyJZ6enobrKwHr9u3bGTduHOfPn8/w53QU6yQmJmpCHkBimYIgCMJjgcTdJe4uCILwpCGiWSHHk1FCAxWEef7556lSpQqAJhgDWLNmDUuXLtVevxdKHDFo0CCGDx9O7969AQyCNPUeJYydO3cugwcP5vfff6d48eK89dZbWlBFHZOQkMCmTZuIjIxM0zPlzp1b+1mMs+zjxx9/5JtvvgGSKs6YzWZCQ0MfWDgLUKlSJRo1aoTdbjcIcmw2G05OTpw+fZoPPviA+Pj4LBfOqk29mJgYTpw4ARhFQ8WLF8fd3T3L7kdIHVdXVxo0aMC7777LM888owV0lXBWdUY8fvw4AwcO5OLFi+m+hqNgVnWYVWIxEcwKgpBT0Ae01q5dy/r16w3d0tNDhQoVeP3117XzKsxmMydPnmTChAnav7MTdW937tzB2dlZm3eVDVyoUCEg42xuQRAEQcjpOApn/f39DcJZtXarjrBZ1XH2QYSz9xLMArLJJ2QbaRXObtiwQZLNBEFIkdmzZxti7ipxB+7OJW5ubkyYMIGSJUsa4o8Zhd1uZ+PGjZw+fdoQR1UJPI0aNaJs2bIZUu1eT2qV72VNFwRBEIRHF0f/SL+uT5kyhQYNGmTvDQqCIAjCfTCbzYSHh7Nx40YGDx5Mp06dePfdd5kyZQpr165l7dq1/Pnnn/zvf/9j5syZjB07lnfffZfXXnuNIUOGsGbNGqKiogC0PEpH9PlF77//vtbtVfm8euHstm3bGDNmDKdPn85Qv1ydq2jRori7u2t5TyrmcOXKFe1eBEEQBOFRROLuEncXBEF4EhHRrJBj+e+//wA0AWpGUaFCBZo0aQIkdQNT4oG1a9dy+vTp+57DYrFoAZBnn32W/v37M3PmTF555RW8vLwM3UP05//777/59ttvGTNmDK+++irvvfeeJog0mUxYrVbWrVunPbsEWR4Njh8/DtxNRlVGvBIlPqhwVn3277//Po0aNQLQxondbteEs/v372fo0KFZLpxVztC0adM4f/68ocuyr68v/v7+QOoVAoWsxcXFhfr169O7d+9kwlmbzaaNp2PHjjFgwIB0CWdTE8xC8u6LIpgVBCE70Qe0AgMDGTx4MD/++CN///03sbGxD3TOp59+GkAL3ql1T1W53bJlS8bc/EOgnvnYsWPcuXNHC3iqv4fqDJ/d4l5BEARByEruJ5xVPk1WdZyNj49Pt3A2NcGsWutlk0/IbtIinB07dixr1qzRxqogCILi9u3bhn87rl1Wq5XDhw8TFBSkJc1mJFevXmXdunVcv35dW5eVDWCz2ahduzYeHh6ZsqamlMAja7ogCIIgPNoo/8jNzY34+HjgrmBWCYJkT10QBEHIqURERLB37166devGsGHDWLt2LREREcDdfEjlk6v9ciU0tdvtXL9+nbVr1zJkyBDef/99JkyYQExMTKod61SOqJOTEyNGjKBBgwYGsaz+57///puAgABOnjyZYfmVysfOmzev1gVe1mhBEAThcULi7hJ3FwRBeBKRzGghRzJv3jz8/f354osviIuLSzVYkl5UIKNr164G4awyvo4ePcqBAweA+wtWlbBAnfOll17i888/Z8yYMZQrV07rOqs37AAuX77MwoUL6dixI/Xq1aNGjRrafTg5OREVFcXXX3/NrVu3RLyQw1Gf/aRJk3jjjTdISEjAZrNpya8PI5zVJ8l26dKF8uXLA0kdXvVi602bNvH111+TkJCQpcLZHTt2sGvXLuDu30KN8SpVqlC4cGFAOiDnJFxdXXnppZcyVDh7P8Gs/uesEsxKwFoQhJTQB7Tmz5/P6NGjATh79izTp0/nr7/+eiDhbKdOnXj++eex2WzaNdT8eunSJX7//Xdu3Lih3UN2EhoaatiwVIUNvLy8svW+BEEQBCG7SEk4W7t2bSBrO84+iHBWOswKjwqpCWfV/+Pj4ylVqpSWhCYIgqAYMGAAAwYMAJKqvsPd+cNisZCQkMDUqVNZtWoVly5dypBr6tfeOXPm8NdffwFoCb9q7W/evDmdOnUCMs/XVwk8vXr10l6bMmWKrOmCIAiC8Ajz7LPPMmfOHCC5YFbWdUEQBCEncuTIEWbMmEGfPn04ceIE0dHRAIbYuco3UnvkiYmJ2O12rFYrJpNJyw3as2cPs2bNon379vz888+aL+/oV6vYu7OzM5MnT6ZOnTpavN5ROLt9+3bGjh3Lvn37tKIUGeGnR0REEBUVpcUB1P/z5s1reH5BEARBeNSQuLvE3QVBEJ5ExIMTchyBgYEEBAQQHh7OihUr6NSpE5s3byY0NBR4OGNIn7D42muvUaRIEe2cFouFuLg4xo8fz/nz5w3dwu53TkWhQoV4+eWXWbJkCb169aJq1aoAmoBWGXlOTk4cOXKEAQMGYLVacXFx0TrNWiwWgoKC+OWXX6TLQg5HfWYAo0ePpnXr1ppQOqOEs3BXhPrqq6/i7e2d7D2qM826desICAjIMuFsVFQU69evN3SEVn+LTp064evrm6nXFx4MFxeXVIWz+g7GaRHO3kswq74DkLmCWeVQnz9/XhuL4rQKguCIo2B2zJgxAJr9dfLkSX788cd0C2fVWvvaa69pG2TqemoOXL16NWvXrgWMdmhWc+PGDX777Tft+ur/TZs2pVy5ctlyT4IgCIKQE3AUzr7zzjsG4axa03OScPZeglkVcxLBrJCTcBTO6kXdU6ZMoUGDBtl7g4Ig5Fjee+89PvroI8AYU1QFSOPj45k7dy7Lly9/6AQetb4CfPfddyxcuBC42zVHJQADVKhQgQ4dOmjHZOba6uv7f+zdeZxO9f//8cd1XbMyxja2se9KUdkKbZYULSSSNSUlSlq+IUpZQiRLlsreGEKkFCUlIpHSJ7KXLJGxL7Ndy++P+b2Pc83CDDNmhuf9duvWmLmuc841jvM+79d5P9/vCDp16sTjjz/O2LFjFawRERG5Ctx8882sX79e7bqIiOR43333HSNHjiQqKoqTJ09a/WMTXLW3X+Zr067Z6+L2wGtAQAA7duxgzJgxDBo0iF9++SXVdtDlclk1+SlTplCrVi3cbneqwdmffvqJ0aNHs2rVKmJjYy/rmbzp+587d47g4GACAgKsEBFgjYXL7smyRURELofq7qq7i4hcaxSalRzFvvJXYGCgFd4aPHgwI0eO5I8//vC7KbmUIoR5/2233cZ1110HJBVbTFjs1KlTfPDBB5w+ffqSboA8Hg9hYWH06tWLYcOG0blzZ7+bSjOo0uVycfToUf73v/+RkJBg3XB5PB5iY2NZuXIlp0+fBi6+6q1kn4CAAGuQ7PDhwzM9OOvz+QgNDaV9+/bcdtttAKkWHs+dO8eiRYt48803SUhIsAqIWeXjjz9m/vz5QNLvwOyrS5cu3H777Vm2X7l8QUFB3H777SmCs6ZwnJ7grL2z/Nxzz6VYYdZ0dLM6MOt0Olm3bh333XcfH374ITt37syUbYvI1cNe0Jo1a5YVmDVhErPq6qUEZ81174477qBo0aJ+E6SYQiLAyJEj+fLLL4ErH5w195BHjx7l1KlT1v7NdbpSpUpWOyAiInKtSi04W7duXcC/f2OCrZcbnO3UqRP169e3tm/uH9ITnFVgVnIrE5wNDQ21Vn1IvrKSiEhqevTo4TeAxz6hRWYN4LEP3Jk0aZJVy7TX/iFpRZkmTZpQo0YN4MqsLFOkSBFefPFFmjVrBqhNFxERuRqYSTjVrouISE712Wef8eabb/LLL78QHx/vVwc3fWF7nzj51/bn5uZZtFmF1ul0cuLECdasWUOXLl1YsmRJqouKmLFoQUFBTJ8+nZtuuslavRbwC87+9ttvTJgwgfnz51vjPS9lrKX5HF999RVnz561tuF2uylcuDC33HILoMn8RUQk91PdXXV3EZFriUKzkmN88MEHVpDBDPgzN02HDx/m888/p3PnzixevNhadfZSixxer5e8efPSr18/IiIirKKKuRHbtGkT27dvB8jwip0mKBkUFETFihXp378/o0eP5v777yc4ONia+cx8NnP85obL3PD98ssvTJgwwe97kjPZi4OZHZw153jBggXp27cvN9xwg98qnnD+/Dh37hyLFy/mpZdeIj4+PtPCicnNnj2b9957D/APzN58881WJ0JytuDg4FRXnDXnmz04+8ILL7B3717rvclXmP3mm2+yZYVZM1D8qaeeAuDLL79k9uzZ1oqzIiJw/v5q6tSp1sQspvhmD4te6oqzPp+PyMhI+vfvb7WJ9okDzHVvwIABrFq1ytrXlQoFmGOZMmUK//33nzWzr8fjoXTp0jz66KPW90RERK5lyYOznTt39ltx1gy+yYzg7F133UWXLl38Vpw12zez5yckJNCpUyd+/fVXnE4nbrfbel3ywKypaSkwKzldjRo1mDZtGpAyMKtzVEQuJPkAHtPXzowBPPaBO5MnT2bs2LGA/8Ad8/N69erRqVMnQkJCrmjYPygoyPpa10sREZGrh9p1ERHJiebNm8eAAQM4dOiQ39hG+3NmE4AtUqQIkZGR3HTTTVSqVImSJUsSHh4OJNW9zdgjOB+mNbVA82z9//7v/5gyZYrfhP6mz20Pzs6aNYu6devi8Xj8grPmuLZv386MGTN47733OHLkSIoJKdNr3759bNu2zfqzGQNVsmTJK14PEBERyUqqu6vuLiJyrXD41JOTHODIkSM0btzYWmnArPplL17YV8586KGHaNy4Mffccw9waYOrTOFkypQpTJ48mbi4OL8CTZMmTazQ6qUO3rLf+JlVZYcMGUJMTAxxcXEpPqfZT3BwMHFxceTPn59PP/2UkiVLZnjfcuWZFWIA+vbty+LFi62/Y1O0M6HEiIgI2rRpQ7t27ShWrNhFt23OpYMHD9K1a1f27t2bYsYdE8z1er3ccMMNjBgxgtKlS1s395dyHtvfk5CQwMyZMxk9ejSQ1IHxer34fD5CQkJ44YUX6NKlS4a2L9krISGBH374gcmTJ1sreZvB3ObcdbvdXH/99YwZM4ayZcta7+3Vq5ffCrP2692VCsyageIhISFWwK1du3a0a9eOatWqZcr+RCT327NnDx06dOD48eN+gdnkK7ebe8Bq1arxzDPPcNdddxESEnLR7ZuHgpMmTWLy5MlWoMV0s8x9QNmyZRk0aJC1cvyVCgcsW7aMYcOGWZPOmGNr3749L730EkFBQZqgRURE5P+zt88rVqxg1qxZ/Pzzz4D/hFlmsrc8efIQFRXFdddd51cTSM/2V61axaxZs/jxxx/9tm8PwAYGBjJz5kxrBvuffvqJrl27aoVZydVOnjyplZVE5JJMmjTJb3CNeV5kH0TbtWtX2rRpQ6lSpS66veQDd+wTRZo23zyXuuGGG5gyZQqFCxf2e5+IiIiIiIjI1SIqKorBgwcD+D3vNn1jl8uFy+WiTZs23HjjjdSvXx+Xy0XhwoU5d+4ciYmJ/Pfff2zdupU//viD5cuXc+zYMWvix+RjJO19ezOGrnr16tbPTd3QjDlKTEykV69e1mTV5jjN630+H8HBwVx33XW8/fbblC9f3npdeuuQEyZMsMaLpraIhoiIyNVGdXcREbnaKTQrOcY///xDdHQ0a9asYefOnVbxxb4ahz04W7hwYR544AFefPHFywoF/u9//6NPnz7s37/fCgFC0o3bgAED6Nix42V9ruTHdPDgQT799FNWrlzJ1q1brc/ncrmsGdZSG+goucOFgrP2VYUvJThrtr1//346dOjA4cOHUwRn4fy/k7Jly9KhQwcaNmxIhQoVrJ+nt3Nh/yx//PEHn332GbNnzwaSOjCm4Oj1eunSpQv9+vUDNOAxt0krOGvOE3twdsqUKRQpUiRHBWbNQHF7h71Vq1a89tprhIWFZcp+RSR3O3PmDH369GH16tV+oVnAb6KAywnOAmzZsoV3332XtWvXpmgLzZ+rVKnCa6+9Rt26df2+n1UOHz7MiBEj+PLLL4HzBU2Xy8XHH3/MzTffnGX7FhERya0uFpw1fXtTv8mK4CycD+YGBgbyxRdfEBcXR8uWLf1WmLX3iUCBWclddI6KyKVIPoAn+SCb9A7gycjAnbJlyzJr1iyKFSuWrrZeREREREREJLeZNWsWw4YNA1LvG4eGhnLPPffQvHlz7rzzznRt8/Dhw3zxxResWLGCX3/91Xoeb1/UxD7Wp0WLFjz22GPUrl0bSDs4+/rrr7N8+XLOnTtnHaMZv2b2kT9/fl5++WVq1arlN2bOPobJ1N+NmTNn8vbbb1u/A3Ncd911F2+88QYlSpS4tF+uiIhIDqe6u4iIXM0UmpUc5ezZs+zdu5cpU6awfPly6/v2Gyb7qp0+n48GDRrQunVrGjZsSHh4+CXdPM2dO5dBgwZZ24ekm7c77riDN954I9NWejU3hAkJCRw7doxx48bx7bffcvLkSQBCQ0OJjY0FkmYua9KkCaBBZLlNVq44aw/OPvXUU/z1118pQjlOpxOHw4HH4yFfvnwUL16cZ599llq1alG0aFHrtaYQaAqRcP7flzn+hIQEPvzwQ9auXcsvv/wCkCJc3qpVK6toqM5L7pTe4Gz16tUpUKAAP/74Y44KzAJ+X48bN85aiVxErm3mHmrr1q106dKF06dPWxNZpBZqvdzg7FdffcWoUaM4cOCA3+y7Zh8ul4vKlSvz6quvZtmKs/btjR8/nvfffx/wf7DXu3dvevTokWn7FBERudqkZ8VZ+wqvWR2ctU/8YQKzQJoTr6mOJCIiV7PLnfn+QgN3zOo3po2NjIxkzpw5FC9eXLVvERERERERuSolD4smD7Xky5ePF154gTvuuIPSpUsDaS/YYGrTpg+dmJjIuXPnGD9+PIsXL+bMmTPWtr1eb4rgbOPGjenatWuqwVmzTbfbzdixY1m2bBn79u3z2579uENDQ6lWrRotW7bk3nvvJX/+/Kl+/o0bN7JixQpmzJhh/Q7MsYWFhfF///d/tGnT5rJ/zyIiIjmZ6u4iInK1UmhWcqw5c+awatUqVq1aBfgXZQAr8ODz+YiMjOSmm27ixRdf9LsZu9ggQfPzc+fO0bdvX77++mu/bQMMGjSIdu3aZcVHBJLCFT/88AOLFi2yvqfAbO53JYKz//77Ly+++CK///67X6jcvnqeOY8Bbr75Zm666SZatGhByZIlKViwYKrbP3XqFH///Tc//PCDtSKyYf936PP5ePDBBxk5cmSKzyy5T1rBWXMNMsFZwApm58TArP36KSICSe3VuXPnGDp0qNUe2ydgsRf6LjU4a79fmzlzJsOHD7dCsslXmnc4HJQqVYr+/ftz9913Z9nnnjFjBsOHDwf8i5l33HEHL730ElWrVs2yfYuIiFwN0rPirL1vEhoaypw5c7juuuvSHDCU1vYvFJxN7aEkoBVmRUTkmnapM99nZKb7EiVKEB0drYE7IiIiIiIictVKKzBrQi358+dn5MiR1K9f329V1ksxb948lixZ4rdog5ks0l4Tv+++++jatSs1atRIsQ3TP/d4PHz66ad8/vnnVt0+tUVZjOuuu44SJUpw0003kT9/fpxOJ4cOHWLz5s3s2LGD//77z9qGGSvg9Xrp3Lkz/fv3B1R7FxGRq5/q7iIicjVSaFZyHPvN0759+1i9ejXvvPMO8fHxeL1eXC6XVZywhxoAChcuzGuvvcbNN99MiRIlUmzvQubPn8/bb79NfHy8tVqn2+0mPDycadOmccMNN2Tq57Tf7MXHx/Ptt98yduxYXnnlFQVmrxJXIjh75MgR3n33XdavX8/Bgwet7dvDsqazYf69hIWFERISQtWqVSlatCh58+Ylb968/Pvvv5w8eZK///6bvXv3+r3f/NuzD85t164dr732GpC5AUnJPhdacdacP4D1tTm/c0pgVgPFReRCVqxYQa9evQD/oEvhwoVxOBzExMQA54OzkHQNSm9w1n7POW7cOCZOnAiknPjFvrr70KFDadWqld/PLuXalfx906dPZ8SIESn2X7BgQV566SVat26d4X2IiIhci9ITnAX/AUQzZ86kWrVqmRKcNfcrdvZZeEH9IBERuXalNoDHPjlW8gE89nYyrZnuNXBHRERERERErhXJA7PJJ2wsUKAAH374ITfeeONl7cfer96wYQOLFi3i008/TbFfe3D24Ycfpnv37pQrVy7F9kzt3efzsXnzZhYsWMCCBQusn9sXnDD9/ORj6ezMz8wKs2YfWkhCRESuRaq7i4jI1UahWcmRkg/y+/3335k/fz5r1qzh33//tQYO2kNc5qYqT548NGrUiBYtWqRr9S77vp5++mlWrVplbd+spti+fXuef/55wsLCsuYD/3+nTp0iPDw8xXFJ7pWVwVlzjp4+fZply5axePFiazY+OF9MNOeRPehoCo6psa+8Z95vX2W0SpUqtGjRgqeffjrFZ5Tc72LBWTtzHt9xxx188MEHwJUJzNpXWdJAcRHJiIEDBzJ//nzgfHtXuXJlihcvzsaNG4mNjbV+dikrztrbxHfeeYepU6cC/qEa82dzLevatSv33nsvNWvWBNI/4Utq+9y7dy8LFy60rslmJlwTuHnyySd55ZVXAF0rRUQkZ7O3U+br7Op72o/l22+/ZdasWaxfvx7wb+NN+160aFGmTp1K5cqVM23FWfvvQhMHiYiInJd8AE/yQThmAM/DDz9M2bJlL/geU2vUwB0RERERERG52qUWmLX3jQsWLMisWbOoXLlyptSe7dvYvXs38+bNY9asWX77B//g7DPPPEP37t3JkyfPBbcHMHv2bKZMmcLJkydJTEz0+0x29pq+fTXa5CvTPvTQQ9Yk1aoNiIjItUZ1dxERuZooNCu5xvHjx9mzZw+jR49m06ZN1vftq2eZGzKXy0VQUBBPP/00jz32GPnz5wfSDiGYG7CdO3fSq1cv9u7d6xcUK1myJJMnT6Zy5cpZerOmAY5Xp6wMzppzJjExkSNHjjB16lQ+//xzTp06Bfj/+0h+fpmZ8uyr09pXcDavsRcF27ZtS9OmTbn99ttTfDa5eqQVnLXfMpiv69Spw+zZs4ErF5jVQHERyShzbfjmm28YMGAAZ86cscKkkZGRvPzyy/z222/WgznInODsyJEjmTZtWortgX9w9oYbbqB+/fo899xzQNLsveY66PF4rIlczDHbJ3gx5s2bx3fffcf3338PkGIm3DZt2jB48GDrzxkJ5oqIiFxJ9nv66OhotmzZwhtvvEFgYGCuCc6WL1+eiRMnUr58+XT1UdK74qz6QSIicjVIqz23D1rNSNuWnpnvn3jiCbp168acOXN49913rddqpnsRERERERG51lxshdlChQoxZ84cypUrl6nPle19/YMHD7JgwQImTpxoHUfy/jzAkCFDeOSRR9JVJ1i/fj2rVq1i4cKFnDx5EuCCY+LM9uzP7SMjI2nRogUvvfQSkLnjoERERLKS6u4iIiKpU2hWch2v18sHH3zAjz/+yIYNG4Ck4oUJNJgbOnOj16RJE+655x7uu+++iw6wPHPmDOPGjWPOnDlWKMGEFerXr88HH3ygQohckqwMzia3cuVK1q9fz7x584iLiwPOd0RSW6UGzq+2Z++omNfmz5+fyMhInnrqKe644w5rxWUFbq5uF1tx1pw7119/PR988AERERGZtu+0ArOJiYl+s0+BBoqLSMaY1VbXrl1r3T96vV4aNmzIRx99xPDhw5k1a5Z1H5kZwdn333+fyZMnW9cte/DFPlMuJIVn69Spw/3330/ZsmWtNjctf//9Nzt37iQ6OppNmzb5tfv2STNatGjB6NGjUxybiIhITmO/pzcDd4KDg2nXrh0vv/xyrgjOmn7T7bffzltvvUWJEiUyJTjrdDrVDxIRkVwpeVtlBpzGx8dz/PhxnE4nRYsWJSEhgaCgIL/3prcGndos9vavg4ODqVGjhvVMSTPdi4iIiIiIyLXoYoHZggULMmfOHMqXL5/lfeNjx47x8ccf+wVnk4dsnE4nM2fOpE6dOmlux147iI+PZ+/evUyYMIG///6bHTt2WKFZl8tl1e9N6MfU3AFatWrFnXfeyb333gvoubqIiORsqruLiIikj0KzkquYGyafz8fevXtZsmQJH3zwAV6vF6/Xm+qqswDFixenVq1aDBw4kAIFClxwH9u2baNLly6cPHnSWqHL4XAQEhLCK6+8Qrt27bL6Y8pVyj77XPLgbPLBtZcSnE3eodi2bRtff/01q1atYteuXcTHx1s/Sys0a/+6VKlSlC5dms6dO1O5cmVKlSp1+b8EyVUuFpw119nrr7+eMWPGULZs2cve54VWmAUUmBWRS2bayU2bNtG7d2+OHDlireDq8XgYPnw4LVu2ZNCgQSxYsMC67mRGcPbjjz9mzpw5/P333ynuWe3XLnM/EBgYSOXKlalWrRqRkZFUqlQJh8NBYGAgR44c4e+//+bff/9lzZo1+Hw+zp49awVw7UVKh8NBu3bteOONN1Ick4iISE5jv6efNWsWw4YNA5LqO3ny5OGhhx7i1VdfzTHB2RUrVjBz5kzrIaCZnde8Lm/evLRq1YqePXtSsGDBDG/fHpy199nVDxIRkdzC1PnM/7/99lsOHz7MN998w9GjRzl9+jQxMTEEBQURERGBy+WiRo0aVK9enTp16lChQgW/wTwXa/cuNoDH0Ez3IiIiIiIici1KT2A2OjqacuXKXbG+8eHDh5k5cybTpk0D8Jt02hzjTTfdxIgRI9I1JsnUIGJjYzl79iyLFi1iz549fP/993g8Hk6dOmW9Njw8nEKFClG3bl2aNm1Kw4YN/RZr0UISIiKSE6nuLiIikjEKzUquk/wG7bvvvmPp0qWsWrWK06dPWzde9hCEGVxYoUIFnn32WWrVqkWJEiVSbM98vWDBAgYMGADgF2hs1KgRI0aMIF++fCqOXGXM3/3FOgDJOxwZdaVWnLV/Do/Hw88//8yOHTvYtGkTf/31F4mJiRw6dIigoCBr4G1kZCTBwcHccsstVKhQgfr161OyZMkMf0a5ulwoOOt0OnE6nZkWnL1QYNa+2ixooLiIXLojR47Qr18/1qxZY4VXfT4fTZs2Zfz48QC8/vrrfPrpp1YxD7ik4Kz9fuGHH37giy++YOnSpVa41b4arNmPKRzawzGpMfcjZpIX8z1TkIyMjOTBBx/khRdeABSYFRGR3GPGjBkMHz4cwK8PkC9fvhwXnP3qq6+YMWMGmzdvBlIGZyMjI+nTpw/NmzdP97EmD85GRUXxww8/ADBhwgSaNGmS4nUiIiI51eHDh1m0aBEbNmywVlA3zLMc00aaPjJAoUKFKFmyJE8//TRlypShSpUq6dpfagN40qr7a6Z7ERERERERuVbkxMCs8ddff/HBBx+waNEiIGWdPTw8nJ49e9KxY0drjN2FpFYDOHLkCLGxsezbt88aU1q0aFFKlixJcHBw1nwwERGRLKK6u4iISPopNCu5lv1m6/Dhw2zbto2hQ4eyf/9+Kzjgcrn8vna73RQqVIjatWvTsWNH6tatm+r2/vnnH9566y3WrFljFVrMdvr27cvjjz9+pT6mZLHUbtoPHz5MbGws//zzjxXWM7PL5cuXj6JFi6Z4f0YGq9o7AP369WPRokUXDM4+8sgjPPbYYxkOzkLqM9/FxsaSkJDAoUOHyJs3Lz6fj4SEBCsgmzz8o4C4pBWcNee9PTj73nvvUaZMmQzvI63AbGJiIg6HQyvMikimWrVqFU8//TTg/1DQrDYLZNqKs/Z29MCBA6xbt4533nmHU6dO4fP5rJ/ZH/zZ92UvYtq/Tr5KvJksBuC+++6jadOmNG/ePMV7RUREcrLkbbRp80xNJicGZxcsWMDUqVP566+/AP9V5H0+HzfffDMTJ06kYMGC6e5f27f/7bffMmPGDDp16sQ999yT4uciIiI50b59+9i4cSOjR48mJibG+r7L5fLrv9rZ64ymrx4SEkJwcDBz586lfPny6dp3WjPfJ69nejweIiMjiY6OplixYuo7i4iIiIiIyFUptcCsfRxOwYIFmTNnDuXLl8+2vvHPP//M+++/z/r164HzdXbzfKBy5cp8/PHH5M+fP9318YwuoCEiIpLTqe4uIiKScQrNylUlJiaG6dOns27dOrZu3Qr4BxzsoUSXy0W/fv1o3LgxxYsXB/wDBVFRUQwePNi6kXM4HLjdbooXL87o0aOpVatWtn1OyRym6BUbG8uJEydYuHAhO3bs4IcffsDhcBAbG2u91sxiFx4eTt26dSldujQPP/wwhQoVolChQtbr0luYu5LBWftxpbayclpfaxCu2KU3OFu9enXGjBmToeDshVaYBRSYFZFMl5iYyOuvv261v2ZylYYNGzJo0CBKlSoF+Adn7Q/mIOnald7gbPLr1Z49e5g7dy5r165l165d1vU0+eqzZn+pddlcLpe1Yq3b7SY0NJSgoCCef/557r77biIjI63j1EM+ERHJLf777z/eeust1q1bx9mzZ1MMjIGcGZz94IMP+PDDDzlz5kyK/rTX66VVq1bWoKRL2X5MTAwREREpvi8iIpITrVq1ik8//ZQff/yRM2fOWP3W5CvFgH+f196+2Setuu+++xg8eDBhYWHpPoYLzXxvhIWF8cEHH3DLLbeo7ywiIiIiIiJXpbRWmDVfFypUiKioqGwLzNrr3QsXLmTkyJGcOnXKb/yc+bpdu3a88cYbqo+LiMg1SXV3ERGRS6PQrFw1zM1VXFwce/fuZebMmXz66aephhBMMALgnnvuoXHjxjz00EOAf5jx5Zdf5osvvvALMAYFBfHEE0/Qq1cva3YWyb3+/vtv3nvvPXbt2uUXWgkMDMTn81nng9PpJCEhwe+9+fPnp1KlSrRs2ZJGjRpRuHBhIP2ruV3p4KzI5UorOGuuv5cSnNUKsyKSXRYsWMCAAQOsyVE8Hg/58+dn/Pjx1K1b13pdZq04a9gn7Thz5gwzZsxgy5Yt/PTTT9Zr7IVNU9w03TaXy2VdF81rK1WqxMMPP0zdunWpVq2a9TNdK0VEJDcxbeTRo0cZPHgw33//PXFxcTk6OGt/0Ne/f38+/fRTXC4XPp8Pr9drfV2oUCHefPNNGjdunKHtqy0XEZHcZvHixYwePZpjx45Z7bPX67X60uZ79mc15nv2vq9p/yIiIujbty/NmzfP8LGkNfO9ERgYSM+ePbn33nspV67cZXxqERERERERkZxn+vTpjBgxAvAPtkBS7blAgQLMmzePsmXLWqvPZQd7HXzo0KHMnj07xUT+Pp/PGotUunRp1c5FROSaorq7iIjIpVNoVq4qyQsin376Kd9++y3fffcdXq83zeBs/vz5adKkCf369SNv3rzWNrZt20b//v3ZunWrX5gxf/78zJ49mypVqmgmlFxq9+7drFmzhilTpnDs2DHr++YcSevSaIIr9vMH4I477qBOnTo89dRTGTqOCwVnzWBge3C2TZs2tGvXTsFZyTaZGZy9UGAW8PtagVkRyQo9evTgu+++81tttmbNmkydOtVvJr0333yT+fPnpwjOQtK1rGrVqlZwNjQ0NMPHcfbsWTZu3MiWLVtYsWIFJ06c4ODBg373A0ZYWBgul4ty5cpRv359atasSf369QkKCrJeo+ukiIjkVqaPEBMTw5AhQ3JFcNb+wLFTp05s3Lgx1Rl9n3zySV555ZUrfnwiIiJXSlRUFIMHD7b+bAbumP626eOWLFnSqrE7HA4OHjyIw+GwJtEDrIn0LmW1drvkA3jM8yHzrCcoKIiuXbvSpk0bSpUqdRmfXkRERERERCTn2LhxIx07dgQgJCSEuLg4wH+C6O7du9OnT58c8WzZ1NkTEhJ46qmnWL9+vd8xmTp7//796dy5c3YdpoiIyBWnuruIiMjlUWhWrkr2gZIHDhzg559/ZujQoZw7d84v5GpmWDHFoFtuuYV27drRoEEDChcuzJkzZ/jwww+ZNm0aXq/X70bz1ltvZdy4cYSHh2fnR5V0shf41q5dy5w5c1i7di3nzp3zu2lPfkk050by7xnJw7O33norr776KmXKlCFv3rzpOraMrjir4OzVw35eJiQkEBQUlCOK0ReTVnDWHHt6grMKzIpIdjJt74oVKxg0aBBHjx4Fkop3+fPn54033qBZs2bWtRnOB2fN5BqZEZxN7Zrm8/k4efIke/bsITY2ln379uFyuciTJw8AFStWJCIigvDwcL+gbHYFhURERDJbbg7Obtiwgb59+3LgwAHreE3fPjQ0lOjoaL9V4UVERK4W06ZNY+TIkQBWW+z1eq2aX7FixWjbti0VK1bkxhtvJCgoyKoh/vXXXxw7dowFCxZw+PBhtm3bBkDVqlWZM2cOefPmvazJS1MbwOPz+axZ8DWAR0RERERERK42//33H9OmTWPGjBmA/0pwZnxPQEAAL730Eo888gj58uXLxqNNYlbCmz9/PqNGjbLGecL58Xk333wzEydOJH/+/FrkRERErnqqu4uIiFw+hWblqpU8hLBjxw6io6P58ccf+eeff6zZVuxhL6/XS7FixahZsya9evWiSpUqHDlyhK5du7Jr1y6/cGXhwoX5v//7Px588EGFuHI4+9/Pl19+yfjx49m3bx9ut9s6D5L/HSZf2c2sEmNeZ790mj+bgbDly5fnwQcf5MEHH7Rm77nY+aHg7LXHfl4sWrSIw4cP0759e8LDw3PFNeVSV5w1/45SC8y63e4U4VkFZkUkKx09epTu3buzZcsWvweFLVq0YPTo0QAkJiYSGBgIZP2KsxkJ+thXtdO1UURErja5MTgLcPz4cYYMGcLSpUv97i0CAgIIDAxk9OjRNGrUKFuOTUREJKvMnTuXQYMGAUltnnnW4vP5uPHGG2natCmtWrWiSJEiF9xOXFwc8fHxzJ49m99//5377ruPli1bWrXEy5F8AI+9jdYAHhEREREREbkaxcTEMG3aNKZNmwak3h8OCAjglVde4eGHH84RwVlIOu4OHTqwd+9ea1wfJI0Zyp8/P9HR0VSoUCGbj1JERCRrqe4uIiKSORSalWuCCROcOnWKv//+m7Fjx/Ljjz9aPw8ICLBuJs0/ibCwMF5//XXuv/9+tmzZQrdu3Th58iQul8sKzt5xxx188MEHAJc144pkHXuQZP78+QwfPpyzZ88C54OwkHLFWPuqmaZzkDxEa1+p2LwHks6FAgUKUK9ePZ599lmqVq2q4Kz4sZ8Ps2bNYtiwYZQoUYLHH3/cKkTnhhBUfHw8q1evzlBw1pznWmFWRLKbua6sXbuWZ599lri4OL8C3jvvvMMDDzwA+LfR6QnO9ujRg7vuuouQkJBMOU6zHxERkWtJbg3O/vrrrzz22GPWMdqPtU2bNgwePDhbjktERCQrLFmyhP79+1sDbe0Dd+655x569epF2bJlCQ4OvuAzlOS1v0OHDhEeHk6ePHky7Vg1872IiIiIiIhca9IKzjocDmusXE4KzprawaJFi3j99detvjucH9vXt29fa7yRnqGLiMjVSHV3ERGRzBOQ3QcgciWYm77w8HBq1KjB1KlTmT59OqtXr2bt2rXWiqOGy+XizJkzDBgwgI0bN3LnnXfSpUsXPvzwQ2JjY63g7A8//MD7779Pz549FZjNgew3/FFRUdbAVPuqsSaQaoIv9erVIzIykjvuuIMCBQpYN/CnT5/m559/5siRI6xcudIKA5qbfPvqs06nkxMnTvDtt9+ye/duhg4dSs2aNS8arDbnlcvl4u2338bn87F48WK8Xq9fWNsMGp4/fz6AgrO5jP28nDlzJm+//TYA//77L1FRUfh8Plq3bp0rgrPBwcHccccdAFZwFvxXag4ICGDLli288MILjB49mvLly/PTTz/RtWtXvxVmHQ4HAQEBCsyKyBVjriuVKlXitttu47vvvgOw2uqffvqJpk2bEhwc7NdGv/HGGwBWcNYeanU6nWzfvp3JkycDZEpwVtc/ERG5Vpl+RUREBAMGDADwC87aJ7g6ffo0n332GUC2Bme9Xi/Vq1enXr16bNiwATg/AQbAqVOnrujxiIiIZKVNmzbx4Ycf4na7rZq7Gbjz0EMPMXjwYIKCgqzXX6g2bvq+pg5YvHjxTD/eHj16ADB27Firtu92u62vExISmD59OoAG8IiIiIiIiMhVISIigieeeAKHw8HUqVP9xrrZ+8bvvPOO33il7GJqB2XLlsXr9eL1eq3nAWbc3K5duwA9RxcRkauT6u4iIiKZS6FZueaYQZNdu3alUaNGLF++nPHjx+PxePzCieZm7dNPP2XLli2UKlWKihUrsnXrVr/Xff311zRo0ICbbropuz+a2KS2kiecn8kGzs9AFxwcTI0aNWjVqhUPP/xwmuHW++67D4fDwbp169i9ezfjx4/n5MmT1s9Nkc7s2+PxsGvXLnr06MG4ceOoXbt2hoKzw4cPB/ALzprOj4KzuZc5L2fPnm0FZk1w9J9//mHOnDkAuSY4GxQUxO233w5cODi7detW+vXrR/v27Xn11Vf9ArPmNQrMikh2KFq0KI0aNeK7777zK94tWbKERx55hJtvvhkg3cFZh8PBtm3bMjU4KyIicq3KbcFZp9NJUFAQFSpUYP369X7fh6RZ/ePi4ggKCtLkayIikqsdOXKEL774gr179wJYk1P6fD4eeOABRowYAWS8tpfVdUAN4BEREREREZFrTUREBF27dgXwC8663W5rjKTb7WbUqFEA2R6cBbjlllto2LAhq1atAs5PYO3xeNi7dy+JiYm4XC7V2UVE5KqiuruIiEjmU69Rrjkul8sKNpQtW5bu3bvzwQcf8OCDD1KoUCFrQKX9xm3r1q2sWLGCnTt3WqFFEwbbsWMH69atA7C+J9kr+UqeFwrMhoWF8fTTT/Paa6/x8MMPA+dXok3LbbfdRseOHfnkk0/o1KkTFStW9Ftl1s7lcnHs2DGeeOIJ1q9f7xckTIt9Vdnhw4fTsmVL65xLvkquCc7OnTuXw4cPX8JvS7LD8uXLGTp0KJAUOk1MTLSCViY4u3DhQk6fPu23inFOZVacfeaZZ7jhhhv8zlEz82NAQAC//fZbisCsz+dTYFZEAFK91mX1vZXZZ5s2bbjnnnsArHvAxMREJk6cyPHjx63X29voN954gzZt2hAQEGBty1y37MFZE+wRERGRS5M8OGsmpDDtuOl7AFZwdsSIEdagGdN2XwlmXyVLlgSS6hBmUi1IurcJDAzUQB4REcm17M9FvvjiCxISEqy6u8/no0mTJrz11ltAUruYE2t7PXr0oHfv3sD5GoBpr+0DeObPn8/+/fuz+WhFRERERERELp8Jzj755JPA+f6wWcHVHpw145Wyi6k9REREAOcXsTDf/+eff4iNjc2RNQcREZFLobq7iIhI1tEILbkmmRtGM8Dytttu4+WXX2b06NFUqVLFGsyYvECUkJBgvd/n81kB3EmTJrF582YNeswBkgdmzUqeqQVm8+fPz5AhQ+jcuTPVqlWz3g+pz6xj/57X66Vs2bL07t2bgQMHcuutt1qB6uSvMzf83bp1Y+PGjRcN5ZpjTCs4a847BWdzr3vuuYdbbrkFwC8MnZuDs0FBQRcMzprOupn9MTEx0QrPKjArIvZ/8xs3bmTHjh0A6Zps4nLYr68NGjQgODjY755hz5497Nu3D8DvPkLBWRERkSsrtwRnzfGYdj95jeFKh3hFREQym9Pp5Pjx4wwfPpxTp075Ddy58cYb6d27N6GhoQBXdLX3jEo+gMfU3JPPfK8BPCIiIiIiInK1SCs4a/86pwRnAWrVqgUk1SJMjd38PygoSGOKRETkqqG6u4iISNZRwk+uafbiSUREBLfddhtz5szh6aefpmbNmkDSjZvT6fQLtZn/ezweQkNDSUhIYOLEicTGxmbXRxEuHJh1u91+XxcoUIBJkyZx7733EhYWZm0jvQU1Mxg3LCyMW2+9lffff58HHnjACs7amZlyEhMT6dmzJ7/++mu6QpAKzl6d3G43DoeDOXPmULduXesaY7+2XI3BWTgfJvN6vTgcDgVmRQTw/zc/ffp0OnbsyKuvvsqQIUM4ffq01RZm1TXQ7PvBBx+kQoUKfvd+Bw4cYNq0aYB/0TF5cPaRRx5JNTjrdDoVnBURkWuemQDjcleVzw3BWXM/YCbdMDUCcx9Rvnx5goKCcnzfTkREJDWm3f7666/5999/rYE7TqeTfPnyce+991K2bNlsPsr0S23me/vXGsAjIiIiIiIiV5vUgrOmfp1TVpw1dX7TT7ePxfP5fJw5c4bTp0+rzi4iIlcF1d1FRESylkKzIjYej4ewsDCeffZZhg4dSseOHa0ghVkx1B6cDQwMtIKy7dq1s2ZykSsvvYHZxMREChYsyIwZM7jlllsypYDm8/nImzcv77zzDp07d/YLtJpjMoXFkydP8tprr7Ft27Z0hQIvFpw1+1dwNvewn5OzZs26ZoKzyc938+8RFJgVuZYlb79HjBgBwM6dO/n444/p0KEDU6ZMYdeuXSlWcs9MZiKUnj17Eh4ebrW9TqeTdevWsXLlyhTvsbfRgwYN8gvOms8GaMVZERG5Zpn22gxwcTgcnDlzhtjYWBISEqx+UGrvSUtOD856vV7+++8/tm7davXrAKsPGBkZCaR/wi4REZGcxLSxP/zwA2fOnLHaco/HQ9GiRWnZsiVBQUHZfJQZk9YAHlPP1wAeERERERERudqkteKsfSW47A7OApw9exbwf+4OEBgYiMPhyPQxAyIiItlBdXfV3UVEJGsFXPwlItcOE3YMCgqiUqVKDBgwgJtvvpnly5fz/fffk5CQYM3iEhQUREJCAgATJkzg7rvvzuajv3ZdLDDrcDj8ArNz5syhfPnyeL3eFAN0L4VZddjlctG/f39CQ0OZO3cuJ0+etPbh8/nweDw4HA727t3LmDFjGDBgAKVLl77o9s3AXpfLxfDhwwFYvHixtW17sMcEZyEpyF2sWLHL/nyS+cy5GRAQwKxZs+jcuTM///wzAQEBeL1ev3PTBGcBWrduTb58+XJ8sNQEZwEmT57MH3/8AWD9W9AKsyICabffgYGBVru3Y8cO9uzZw8yZM3n++ee5+eabueGGGzKl/bYzE1FUqVKFMmXK8Mcff+B0OnG73Zw8eZINGzbQqFGjVN9njnXQoEEALFiwwArGwPmHdyY4C1gBHxERkauZ0+nkyJEjrFmzhs2bN7Nnzx52795NcHAwoaGhBAYGUrNmTW688UYaNGhAiRIlrD7DhfoFyYOzgDUxhZloyLzGBGcBXn31Vb/7jKz6zH/++Se7du3yG8jjcrlwOp1Uq1YNUN9HRERyrzVr1vD9998D59vk4OBgnnvuOQoXLpxpNfeskNax9ejRA4CxY8f6DQ5OPvM9QJs2bShVqtQVPW4RERERERGR1Nhr3Rmte5vgLMDUqVNT7Q+b4CycH690JZjPcvToUSDpmbzb7bZq7qVLlyYiIuKKHIuIiMiVoLq76u4iIpJ1FJoVSca+sqzT6aRFixbccsst3HfffQwdOpRjx47h8/mswOz48eNp0qQJoEGP2SGjK8xGR0dTrly5TB8kaw/N9OnThzx58jBt2jQrOGs/LzweD7/++iuLFy+ma9euhIWFZWj7yYOzLpcLr9ebYsVZp9NJmzZtKF68eKZ9Tsk8FwrOgv+5fTUFZ4OCgoiPjwcUmBW5lqWn/ba/5vTp0wwdOpRKlSpx9913W+1nUFBQprbpZcqUoVOnTrz66qt+BbuZM2dy1113Ua9evRTvuVBwNvmstwrOiojItWL16tWsXbuWzz//nJiYGOD8Az6n02lNTrFt2zbmzZtH1apVqVatGi+99BKFChXyW709NTk1OHvw4EHef/99fD6fNekaJM2gW6FCBerWrQtopVkREcm9/vrrL7/+us/nIzg4mHLlygHkiIE79uM7cOAAR44c4aabbrrgsaU1gCf5zPcAjzzySLomwxQRERERERHJLKmNqbH/OXm9Oz1jcNIKzno8Hqs/nB3BWZfLRVxcHCtXrgSwxt2Z2n94eDgJCQnWirMiIiK5neruqruLiEjWUWhWJA321U1KlChBiRIlqF69OrNnz+a7775j//79TJgwQYHZbJSewI1Z0TIrA7OGCa86nU6efvpp4uPjmTZtGvHx8VbhDpLOrVOnTvHFF19Qp04dbr311nQd08VWnE0enJ0+fTqJiYn07NmT4ODgTP+8cvmSB2e7dOnC+vXrL7jirM/no3Xr1oSHh+f4605qwVkFZkUEzj/AmzVrll/7bYIlcP7aYC+a7dq1i127drFhwwbq1KlDp06dKFq0qPWey5lZz+zv7rvv5q677uL777/H6/Vax/Xll19So0YNQkJCUlyzFJwVERFJakt37drFkiVL+Oijj6zZ3+1tvOkbezweawVWt9vNzp072b59O1u2bOGxxx6jSZMmFCtW7IL7y2nB2YSEBFatWsW+ffuApAmzfD4fLpcLh8NB06ZNyZs3b46eCVhERCQtPp+P2NhYPvvsM7+JHAFuv/12azX17GT69ab/vXr1aubOncu+ffvo2bMnzZo1u+D70zPz/YcffojX66VLly5a1UZERERERESuCFNTjouLIy4ujq+++op///2XjRs3AhASEkJYWBi33347kZGRNGjQwHrvxergOS04a473r7/+4ujRo9b4TXutvVmzZgQFBVnP4UVERHIr1d1VdxcRkayn0KzIBdgDEV6vlzJlyvDCCy/QsmVL4uLiqFWrFqDAV3bIaGB2zpw5WRqYNewr5zz//PPExsYyffp0HA5HimDr3r17mTBhArfeeisulytd59HFgrOmYOn1ejl37hy1atVSYDaHswdnZ86c6RechZQrzkZHRwPkuuCs0+nk3XffZdeuXQrMiggAM2bMsNoye/ttrgnJV2k3banH4+G3337jt99+Y8mSJXTv3p2aNWtyww03WAGUS7m2mNeHh4dTu3Ztvv/+eytw4/P5+P777+nWrRulS5dONexyoeBs8mNScFZERK42Xq+XqKgovv76azZs2ABg9X1NeNS0hfYJJUwbD0lt6a5du5gyZQp//PEH3bp1o2LFihfcb04Izpr7gr/++os5c+Zw/PhxayCPuccJDQ2lcePG1jGLiIjkNg6Hw2pPIamfbto7M5lVdk4MYd/3tm3b+Pbbbxk/frz18y1btlx08A6kPoDH3MuY/ezevZuzZ89q8I6IiIiIiIhcEWaM2bhx49i1axfbt29P9XVff/01AE2aNKFOnTq0bt2asLCwi24/reCsfSW4KxGcNcFYgPnz53P48GEAa5yAee5eqlQp6/siIiK5meruqruLiEjWc/g05ZLIZVHg68q7lMBs+fLlszwwa2ff10svvcTSpUutzoPpSJgBwj169KB3796XvP2+ffuyePFiHA4HwcHBxMXFAfithCw5n+kMAmmuOGsGmpcpU4bHHnss1wRnAeLj4/nhhx8IDw+nXr16gK6fItey7du30717dw4fPmxNHGH+M8z1wR52sYdizcp0wcHBFCpUiPbt29OiRQuKFy9uBXQy2u7br0vt2rXjt99+w+l0Wg/hWrRowYgRI6zrdWrs+x00aJBfcNbMvGc+a7Vq1XjmmWcUnBURkVzN7Xbz1ltvsXLlSmJiYoDz/XP7ZBj20Kw9PGtn2nen08no0aO577770nUM5j4hJiaGIUOG+AVnzf7NrLx58+alRYsWDBw48LKDs6Yfd+bMGbp3786mTZv8JsUyK+y++OKLdO/e/ZL2ISIiklOsW7eObt26AViz3rvdbt59912aN2+eI2p9U6dO5dtvv2XTpk3A+ecEkDR516233pqu7UyaNImxY8cCSZMCJiQkAEkTXz322GPceeedWXD0IiIiIiIiIv527tzJmjVr+PDDDzl27Jj1/YCAAHw+n1X3NnVpU5MOCAigYsWKDBo0iKpVq5InT56L7ismJobp06czdepUaxsm0GJfEODll1/O0hVnV6xYwYABAzhx4oS14p55nvDAAw/wzjvvZMl+RUREsoPq7qq7i4hI1tLSBiKXKbtvRq81FwvMOhwOv8BsdHT0FQ/MwvnV5gBGjBhB/fr1rUKlCT+aP//8888cOHDA+nwZ3f7w4cNp2bIlPp/PCsyOHz/eCsxqboTcwR76njlzJvXq1bMGi5uwmAlbmRVnFy5cyKlTp9IccH4lmPPYdILNn5MLDg6mSZMmCsyKCABVq1ale/fuVK1aFY/H43eNswdLixYtSkREBHnz5gX8Z7AzbXt8fDz//vsvo0eP5v/+7/8YNWoUZ8+e9Wv303uNtIdbWrZsac28a773559/smPHDutYUmNvowcNGsQjjzzit3q4uf45nU62bdvGhx9+yLfffktsbGyGfociIiI5gdvtplevXnzyySdWYNZMXuFwOKyBOmZQi/l/8skynE6n9QAQkiavuP3229N9HMlXnDUTUph9mEk4AM6ePcvixYsZMGAACQkJfvvNCK/Xa7Xxzz33nF9g1j446a677qJRo0YZ3r6IiEhOc/bsWasPb2/Lg4KCgOx/VhITE8NXX33Fpk2bcDgcfgN6HQ4HP/74I5B2f97OPtFlQkICTqeTO+64g44dO1oDd1R3FxERERERkay0evVqRo8ezbhx4zh27JjVv3U4HNYqsPZ6tFmdzti+fTvPP/88n3zyCf/+++9F92dWnH3yySeBpPq/y+WynqHbV5xduHChtSpeZjpw4ADffPMNJ0+eBLDGEbhcLoKDg6lbt26m71NERCQ7qe6uuruIiGQthWZFJFdJKzBrBqM6HA4SExMpXLgwH3/8MeXKlbvigVnDzHYXEBBAjx49qFSpkt/sd+az/PLLL6xcudLve+ndvj04a1bgGT9+PE2bNgUUTMxtcltw1oTXNmzYwCuvvMKRI0es40yN/VzUeSly7TLXiA4dOtCuXTsqVapkfT/5tSEgIIAmTZrQtm1bHnzwQSDp4ZwJvphAjgmsbNy4kWnTptGuXTtmzpxpBVzNdtNToDP3DA0aNCB//vzWLH4Ae/bsYenSpQB+DxxT20ZawVnAr8C5ZcsW3n//fU6dOnXRYxMREclJ3G43Xbt25fvvv8fpdFp9FcPn8+F2u8mXLx933HEHTz/9NH379mXAgAE8//zz3HTTTZQpU8ZqF01f6P7776dTp07W5BXplZ7grDm+hIQEPvvsM3r06EFcXNwFV5G/0P5iY2N5/PHHWbdunV9g1ihatCj33Xefdb8jIiKSm5lJK00f2fSx4+Pjs/OwLBEREbz00kspJq00g4hXrlzJ2bNnL9ift+vRowfPPfccALfeeitdunShYcOGgOruIiIiIiIikrW++OIL3nrrLVavXk1sbKz1/Dn5mDP7hNQOh8N65m5CrkeOHGHSpEl8/PHH7Nu376L7TSs4a+r9WRmc9fl8LFu2jCVLluDz+az6g/k8N954I61atcq0/YmIiOQEqrur7i4iIllLoVkRyXXmzp1rBWYDAwOtUAokdRgCAwMZNWoUFStWtFaNyS6mI3D99dfTqFEjAgICrOPx+XzWwNy5c+fyzz//ZHj79lDOmDFjWLhwoQKzuVxuCc6awOz69evp1KkTy5YtY/jw4cTExFwwOCsiYr9GPPbYY3To0CHV4KzD4eDAgQOsWbOGhIQEXnzxRd59911q165NaGio36QY5ppkArQ7d+7kvffeo2vXrkRHR7Nnzx5r3+m5Tvp8PkqXLs0LL7yA0+m0HgACLFiwgPXr1190G2kFZ02YJiAggISEBAB69epFsWLFMvJrFBERyVZut5tu3bqxYcMGq32D822tz+ejXLlytGrVirlz5zJ+/Hj69OnD448/TseOHenRowcfffQRkydPpm3btuTLlw+AevXq0a5dO8qXL39Jx5VacDY0NNSv/Tf9KZfLxY8//kj79u3ZunWr34PHtO4XzPfj4+PZtm0b3bp146effvILzNr74a1ateKhhx664DZFRERyiyNHjlir19gH8SQmJgLZ39b5fD5uueUWWrdu7TdoGJJqrgcPHmTjxo3Wa9OjZ8+evPvuu3Tp0oUGDRpY71XdXURERERERLLK/Pnzee2119i3b5+1eqx5vm7q8aZfaurSZkyR/fvmefrJkyeZP38+S5Ys4dixYxfdf2rBWfOsPCtWnDV99K+++opRo0ZZz9LtAeDIyEj69u3rt7CGiIjI1UB1d9XdRUQkayk0KyK5zp49e8iTJw8BAQEkJiameqMcHR3N3r17CQoKyhHhvbx589K2bVuKFClizcIHWIW8Q4cOsX//fiDjnRyXy2WFLKtXr25tQx2I3CunB2ftgdmuXbsCSefht99+y5AhQzh69KiCsyJyQRkJzu7fv5+lS5cyc+ZM7r77bsaNG8fo0aOpVKkSefLk8QuomIdmTqeT+Ph4jh49yptvvkn//v0ZM2YMsbGxVtt7oWuU2X/16tWpUaOG3/fPnTvHr7/+etFtQNrB2cDAQCswO2HCBJo3b57h36GIiEh28Xg8vPzyy1ZY1LSHpn33+Xw0bNiQ//u//+O1116jYsWKBAYGWu+FpD5rWFgY5cuX56233qJfv3507tyZdu3aUbt27cs6PntwduDAgTRp0oSwsLAUM/CbgTdbt27lhRdeIDo6mt27d/u9xu12+w3AcTgc7N27l+joaF555RV++eUXv8CsmTjL5/PRrl07+vTpA/jf34iIiORWISEhgH9bCqS7j5zVHA4HwcHB1KpVyxpkZNpmt9tNbGysdawZaZebN2/OnXfeCajuLiIiIiIiIlkrKiqKgQMHEh8fb4VgzaqrZrVXgCJFilC2bFkqVqxojaGz19/tk0+7XC5OnTpFVFQU3377LYmJiRcdV5RWcDazV5w1tfPVq1fz0ksvWXV7+zP9sLAwWrZsSbly5QCydfEMERGRzKa6u+ruIiKStRy+7J6CQkTkErz33ntER0dz8uRJwH/lOJ/PR1BQEPXr12fAgAGUKlXKCvllF7P/zz//nH79+uF2u62bfKfTicfjoVGjRowfP17FvVzMPgjbzPxkzs1L6dTZZ2vs0qUL69evt2ZTNOeUGZxdpkwZHnvsMVq3bk14eHiWdSTtgdnHH3/c+vdmwl9hYWHUrl2bwYMHU6RIkUzfv4hcXeztc3R0NFFRUezatQtI2bYXLFiQhx56iCeeeIKiRYsSExPDd999x4oVK1i1apX1wND+EM1MLGF+dtNNN9GoUSMefPBBihcvnupxJDd58mTee+894PykBuHh4SxYsIAyZcqk63PaV8UdPHgwUVFRAIwfP14rxIuISK7i8/kYN24c06ZN8xtYYw/MNm/enAEDBlCoUCHrPWm1cfY28tixY+l6T3qZ9v3YsWO89957fPPNNxw/ftyaaMO+Ur3H4yEsLIyIiAieeuopKleu7DdxBsDPP//M3r17mTJlCidOnODMmTOprjDr9Xp54IEHeOedd1J8RhERkdxs3bp1PPXUU36z3vt8Pho0aMDUqVOz+/D8PP744/z0009W+2zqA02bNmX8+PFqn0VERERERCTHmTVrFsOGDQOwnnmb599ut5vQ0FBuv/127r77burXr0/BggXxeDz8+++//Pfff3z00Uds376dI0eOAKSY9NLj8VCsWDGmTZtGxYoV0zWWLiYmhunTp1v9fnMsZiU8M67p5ZdfpnXr1uTLly/dn9fs/6effqJr1674fD4CAwOtYDAkjb+qX78+/fr1o2LFihn6fYqIiOQGqruLiIhkLYVmRSRXsd9Ujxkzhrlz5+aa4CzA9u3befbZZzlw4IC1+pzp5Fx//fXMnj2bvHnzZusxSvqZcyoj51ZGB39fKDhrtnWlgrOpBWYDAwOtFZ/tqz/PmzcvxSBzEbk22K9N6bkGXSw4a7bp8/koXLgw999/P127dqV48eLWez/++GPWrl3LypUrre3a32u/VgYEBBAREcFzzz3HjTfeSJUqVS74OeLj4+nWrRsbNmwAzj8I7NixI6+88grBwcHp+r3Y72EGDhzInXfeSZMmTfz2JSIiktOtXLmSd99912qrzURBpn/SqlUr3n777QxtM3k7mJntorlXOH78OFOmTOHrr7/m4MGDfsFZ+9dGnjx5KFu2rDVzfmJiIrt377YGKSXv/9lrES1btmT48OGAArMiInJ12bBhA506dQKw2k+fz0dISAhTp07llltuyeYjPF8/GDp0KFFRUX4DhH0+H2XLlmXJkiXp7suLiIiIiIiIXAkzZ860auupTRIdHh5Ov379qF+/PsWKFbPeZ3/WHhcXx/Lly1myZAk//vij9X7TLzbbqlOnDpMnT073+LT0BmdfeeUVHn744XQFZ9Maf2QCs2a7kZGRjBo1KkfUHERERLKC6u4iIiJZKyC7D0BEJCNM0NTlctGnTx8AKzhrX3nT4XCQkJDA2rVrGTJkSI4JzlatWpWmTZsyY8YMq8BpbN26lV9//ZWGDRtm09FJepnzyJxLR44c4ejRoxw8eJBt27aRmJjIuXPncDqdlChRgoiICKpVq0a+fPn8itdw8QHhptgcEBDAzJkz01xxFuCff/4hOjoaINODsxcrWJvALMDYsWMVmBW5RtmvOSdPnqRAgQIXDYvYJx947LHHAKzgrP0a53A4OHr0KEuXLgXgySefpGjRogB07NiR5s2b89tvvzFhwgQOHTrEsWPHrNXfzPuNQ4cOMWjQIMqXL88DDzzAo48+Sp48eawHkC6Xy29WvFtvvZVffvnFmoEXYNOmTZw9e5bg4OB03V/Y72EGDx6c6u9MREQkp/vmm2/8JrcwYVOfz8f9999vDerJSN87eTuYme2iuc8oWLAgPXv2JDIykkWLFvHnn38C5wcMmfbYDMSJi4uzXpP8mFKbnd983b59ewYOHAj4T4AkIiJyNShfvjzlypVj3759Vvvp8/mIjY1lx44dOWLwjhlU1KRJE+bNm2cdIyS14XFxcSQmJmrwjoiIiIiIiOQYqQVm7ZPYFyhQgPHjx1OnTh3rPaamberwXq+XkJAQ7r//fqpWrUpoaCgrVqywnk97PB48Hg9Op5MdO3bw5Zdf0qZNm3TV8iMiIujatSsAU6dOtWrfbrfb7+t33nkH4KLB2YtN2G/q9IGBgbz55ps5ot4gIiKSVVR3FxERyVpaaVZEcqXcuOKs2e+KFSvo3bs3DofDKnSaAuW7775L8+bNr/ixScZ4PB4OHTrE999/z6ZNm/j55585cuTIBd8TGhpKSEgITZs2pUyZMrRq1Yq8efMSEhKSrsBUdq44e6GCNeD39fjx42natCmgIJjItcb+b/6DDz7g3XffZcmSJVSpUiVdq6xdbMVZe9seERFBixYt6NatG0WKFPHb/8GDB9myZQszZ87kl19+sd6X2oy8xm233cYtt9xC165dCQsLs75vjvvo0aO0bduWAwcO+D2o7Nq1K6+++mpm/PpERERyvIULF/Laa68BWBNTmP+aNm3KO++8Q0hISI5cXdXcJ8TFxbF+/XpmzpzJ2rVrrXsXe38qtT6Mvc9ln1jD3E9UqFCB+++/n2effRbQCrMiInL16tSpExs2bLDaRVPXjoyMZPr06ZQtWza7DxGAbdu20bZtWxISEvzadofDwTfffENkZKTqliIiIiIiIpLtkgdmTc3ZjMMpWLAg06dPp1q1ahna7h9//MGYMWOsFWdNH9g8O7///vsZNWpUhraZ1oqz9q8vtuLsxQKz9gn733//fRo3bmwdt/rxIiJytVLdXUREJOtk33KLIiKXwXQKAPr06UO7du0oUKAAkFRgsw98NSvODh48mH379lkrzVxpJghUq1YtwsPDcbvdKVa/M+EgybnWrFnDu+++S9u2bRk8eDBLly4lJiYGSCpau1wunE4nAQEBBAQE+BV1jx8/zieffMKoUaN44okneO211/j99985d+6ctf20zk17sXnmzJnUq1cPt9vtt7qTmdHJrDi7cOFCTp06ZXWmL8XFCtYKzIoI+P+bnzlzJu+++y4Ajz/+OLt27fJrt9Nib58fe+wxOnToQKVKlYCUbXtMTAxLly7lo48+siYtMEGXyMhImjZtyscff8zAgQO57777AKx216wIZ67PAOvWreP999+nbdu2LFy4kJ07dwLnA0GFCxemV69ehIaG+l1716xZw5YtWzLzVykiIpIjHTp0iC+++ALAb/Ien89HzZo16d27tzUhUFaFRX0+X5r9pYvdZ5g+UUhICLfffjvvvPMObdu2tfpJXq/Xb6V5eyDYPnGH6XM5HA6rf3bPPffQp08fBWZFROSqZtrg22+/3Vr1xXzf6XRy+vRp1qxZ4/fa7BQREUHhwoVT1CcDAgKsvr6IiIiIiIhIdkpPYPbjjz+mWrVqGe5rX3fddbRu3ZrIyEjre+ZZOcCKFSvYtGlThrZpVpx94okngPOT/5t6uX3F2YULF3L69Gm/fWckMDt+/HgFZkVE5KqnuruIiEjWU2hWRHKt5MHZRx999ILB2XXr1jFkyJBsDc663W5CQ0PJnz+/dWxwfoDv0aNHr/gxSfps376dkSNH8tRTTzFz5kyOHj1qFX9NeCoxMRGPx4PX68XtdlsBLY/Hg8fjwel0WgOxt2/fztKlS+nSpQsjR45k1apVABdcBflCwVmzCmPy4Oynn37K6dOnLyk4m9GCtQKzItem5IFZ82AvNDSUY8eO0b59+ysSnLVfP81+2rdvz+jRoxk1ahT169cnf/781vXY/mDOXNP27NnDsGHD6NmzJ/PmzePIkSPWPqtWrUrJkiWt/ft8Pnbu3Mlvv/2WSb9JERGRnOvff//lf//7H4C14rrD4SB//vy0bNmSMmXKAGRqPyB5/8VMFuTz+YiJieHAgQOcOnUq1b59an0fc2xOp5PChQvz1ltv8eabb3LnnXcC5yfYMH0809+zT7Thcrnwer0EBgZSoEAB3nzzTfr372/1hUz4VkRE5GpjnxDS5/NZNUnj9OnTfPLJJ5w9ezbbau92gYGBfivJm4k9wsPDCQ8Pv2ANVkRERERERCSrJQ/Mmufb9sBsdHQ0FStWtJ5vZ4TL5aJRo0Zcd911ACkm5E9MTOTQoUMZPu6IiAieeOIJnnzySSCprm7GQXk8Hmtc06hRo1IEZ1Mbf+R2uzX+SERErlmqu4uIiGQ9tU4ikqvltuCsy+UiJCSEYsWK+X3fdBayu1MjKXm9XqKionj77beZNm2a1dkzKxWa1xhmgLX9z4YJ0JrvBwQEEBsby8KFC+nTpw/jxo3zC06nNtD7YivOJg/OzpkzxypEZyQ4m1ZgVgVrEbFLKzBrrm+BgYGcOnXqigVnzXXOHlZxOp3cf//9DBkyhDFjxlC9enXy5s3rtz3zEM/pdHL27Fn++ecf3njjDfr27cv777+Px+Ph+uuvp0uXLsD5WXMBxo0bx44dOzLrVyoiIpKj+Hw+EhMTiY6O5syZMynCoyVKlODee+8lKCgoU/dr2miv10tsbCzLli1j4sSJtG/fnubNm9O0aVMaN25M8+bNadmyJf/3f//H8uXLrUE+pm1Pi/nZo48+yuDBgxk7dizVq1cnMjISr9drTYRk+n/2Gf6rVavGCy+8wLRp03j00UcpXry49bvSg0AREbna1apVi/vvvz9FzdPlcrF9+3beeustAGuyquxir1ckXyVeNXgRERERERHJTqmtMGufxL5gwYLMmTOHcuXK4fF4LmmiRq/XS0hICE8//TR58+a1JqQErPFOZqXZjPbfzYqzyYOzZkxU8uDsiRMncDgcqU7Yb34HGn8kIiLXMtXdRUREsk5Adh+AiMjlMgEcl8tFnz59AJg3bx4nTpywgn/mZt0enB0wYAClS5e2XnMl2DsMqX0/swcay+XxeDy8/vrrrFy5kuPHjwPnC9bm78zlclkFYLPiUmodU/Nz8z77zFAej4dz584xceJEdu3aRevWrWnYsKE1ED35+WmOISAggJkzZ9KlSxfWr19PQECANcDbvMcEZwFat25Nvnz5LlpYvlBg1uxfBWsRAdIMzJrrZGJiol9wNioqisqVK1/04Z4JzjqdTh577DEcDgdRUVHs3LkzRdseExPDF198AcCTTz5J0aJF/a5H5uvIyEgiIyOpUaMGK1as4LvvvmP58uXWA0Izg6/D4bCu7T/++CM//vgjP/zwA+3ateOGG26gRYsWLF261Lr2x8fHs3r1aqpUqXLJDy1FRERyKofDQWBgIAcOHADOh01N29m7d28KFiyYKf3q5P2JI0eOMHnyZLZt28Yvv/xifd9MGARw4sQJYmJi2LFjB0uXLqV27drccccddO/e/YJtshnA43A4KFKkCM2aNaNu3bqcO3eOr776ipMnT7J3714SEhJwuVyUKFGCMmXKUKVKFW655Ra/vrt94iIREZFrwfXXX2/1w+2zyjscDtasWcMnn3xC27Zts61t9Pl87N27l8OHD1vfM/38MmXKEBgYqP67iIiIiIiIZIu0nqubcThmhdnLCczC+VBNoUKFCA4O5uzZs1Y/3dT57ZNQZpQJzgJMnTrVGsPkdrv9vh41ahT58uWjUKFCPPvssxp/JCIikgbV3UVERLKGQrMiclXILcHZxMREPB4PR44cAc53bkxBMjg4OMuPQdLH7Xbz/PPPs3LlSut7JuBqD1SZQq7D4SAiIoKQkBDCw8M5d+4cXq+XgwcP+r3OHoS1z+RoCsZff/01+/btY8uWLXTr1o2goKBUO5MXCs6CfwE5I8HZtAKziYmJWmFWRFI1e/bsVB/sGW632wrOdujQ4ZKCs+3atQNIMzh79OjRNIOz9mPxer2EhYXRsmVLWrZsyYIFC1i9ejUrV660rm1mVTuzfafTyebNm/n7778pUqQIefLkISQkhPj4eHw+H3FxcXz22Wd07NiR4OBgXQ9FROSq4vP52LlzJ1u3bgXO92G9Xi8BAQGUKFHisldYTd5m//HHH3z//fcsWrTICusC1iRB9geEyftnGzduZOPGjWzfvp1XX32VokWLprnf5O11wYIFKViwIN26dQPOryyfWttuv49Ruy8iItcK0yY+8cQTrF69mnXr1vn9zOfzcfToUb766iuqVKnCTTfdlC3H6XA4OHHihF99wtTfb775ZtXgRUREREREJFtcqcCs4XA4KFWqFKVLl7YWCjCr1nk8Ho4fP058fDxBQUFZGpx9/fXXrdq+PTBrX21W449ERORapbq7iIhI1lJoVkSuGrkhOBsYGEhMTIw1244JTJoBviVLlszS/Uv6uN1uHn/8cTZu3GidN3ZmldjQ0FBuueUW6tWrx4033kjVqlUBCA0NtTqEe/bs4fDhw6xcuZLff/+d3bt3W9swqxrC+UHXHo+HP//8k0OHDnH06FFeffXVSwrOmoJzRoKzWmFWRC7F33//DeB3TTPMtSG7g7P27cH5690jjzxC48aNadeuHe+99x4HDhwgJibGCgTZ/3/y5ElOnjyZ4hhdLhc7duxg4sSJvPDCC7oeiojIVcXhcBAXF0dsbKzVLhoVKlSgWrVql7V9+71ATEwMK1euZNy4cZw+fZr4+Hi/leA9Ho+1/+TH4na7rXbe5/OxdOlSTp06Rd++falYseIlHZs9FJv8nkIz5IqIyLXI3ia2atWKHTt2cPToUauNNH34devWUaJECUqXLk3hwoWv6DF6vV7cbjfLli3zOyZTf69cuTKgeqaIiIiIiIhcWVc6MAvn+75erzdFTR2SxrC5XK7L6h+nNzgLSXV1M+ZIgVkREZEkqruLiIhkLYVmReSqkpODs2bb3333HWfPnvUb/Ot2u8mTJw+1atXKkn1L+rndbp555hk2btxohU8Bv5VhIyMjqVKlCj179qRs2bKEh4f7bcN+Ht1www3UqFGDRo0a4Xa7iY6OZtOmTXz99dcpVp/1eDzWfo4fP87ChQs5deoUQ4YMITg4OF3B2c6dO/Pzzz9bx24/lrSCs4C1OlRagVkVrEUkOfPv/6mnnuK3335jy5Yt1ipxyQOnPp+PxMTEHBGcNds03y9QoAC33XYblSpV4n//+x/R0dGsXr3a+oz29jq134FpJzZv3szRo0eJiIjIlN+viIhITuJ0OnE6nVb/wHzvcpl7gPnz5/PDDz/wzTff+O3PHpSFpIeG9omNzNf2/0z/avXq1TgcDoYPH06hQoUyPNDI3varzyMiIpLEtIn169enQoUKHD161KrJm0EyHo+HTz/9lIIFC/L8889fsRnmTY3A4/Hwxx9/WN+DpJpvuXLlaNSokd/nEBEREREREclq2RGYhaS+7759+9izZ48VnDUhWoDw8HACAi5/+HBawVmPx+P3TME8c9eE/SIiIv5UdxcREck6WbukoohINjAdBIA+ffrw6KOPUqBAAQCrCAikCM7u27fPCuZkNhNIBFi9ejU+n886RvP9okWLEh4enmJmP7lyPB4Pffv2Zc2aNdZAa/N3Z76+9dZbeeWVVxg5ciQ33ngjYWFhAH5/b/bB4/avg4ODefzxxxk7dixDhw6latWqhISEWEVvEywz74mLi+Pzzz/n//7v/0hISPA7t+3sMzPOmjWLunXrWist2YNhDofDCs4uXLiQ06dPWys2pRaYTUxMtAJjKliLSHLm33+BAgWoWbMmkNQG268NyVdmS77i7M6dO9O8ttnZ2+d27drRoUMHa5a65G27Cc5OnTqV//77L9VZc+3Hb35epEgRGjVqxIcffsjQoUN56KGHrGO2X5vh/DXfXFudTic//fQTX3755SX8JkVERHK22NhYa/ZY0/Y5HA7OnTvHmTNn/Aa9pIdpRxMSEjh8+DAvvvgiw4YNswKzAQEBfiFY06cx9xnm4WDyr+1BW6fTicPh4IcffrAGI5n3i4iIyOWLiIjgjTfeICwsDLfbbdU2vV6vNeB26tSpTJky5aJ9/sxi+u1Tpkyx6g2QdA/gdDpp1KgRefPmzZL6v4iIiIiIiEhqsiswa/q+JnRj6uOm1g5JiwAAmVI3N8HZJ598EsCqFcD5Z+qAxh+JiIhcgOruIiIimU+hWRG5KuW04KzZ39y5c/nuu+/8vmeOs3nz5kRGRqoImE18Ph8fffQR33//vdXRTB6Yve+++xg9ejTNmjWzAs6mU3ixvzd7YdvhcNC6dWuGDh1Kt27dyJ8/v1/B2B5ydTgcrFixgsGDB1vB2dTOzwsFZ+2hNXtwdsGCBZw4cYKAgADWrVuXIjDrcDi0wqyIXFRISAhPPPEEhQoVsq475oGbuU7Ygy45KThrJG+TW7duzdtvv83EiRO5/fbbKVy4sBXAsT9ItK9mB1CiRIlL/TWKiIjkWEWKFCFfvnx+fRqfz8e+ffv466+/MjQTvbk/+Pfff5k9ezY9evTgyy+/JD4+HsAKvUJS+2xvZ91uN0WLFqVZs2b06tWL5557jt69e3PTTTdRtGhRq622r1LvcDj4/PPPmTlzprVNERERyRyVKlXirbfeIjQ01K8eYFaUAZg4cSLjx4/nzJkzV+SYNm/ezNq1a4HzfXa3243X66Vx48bWQB4RERERERGRrDZ79uwUgVlIqoMnJiZSqFAh5s6dm+mBWfs+xo8fz6lTp6zavNPptPrt9erVAzKvbp5acNbUB+xjkUDjj0RERNKiuruIiEjmUgslIletnBac3bZtG998841VhDTbdzgclCtXjjvvvNM6Nrnyfv75Z5YvX86ZM2esYJU9MNuqVSvGjBlD4cKF0x2UTYvZ/g033MDjjz/O22+/TUREhF9w1v5aj8fDsmXLGDNmDImJiVZHOLmLBWfNeW+Cs9HR0XzzzTesXLmSJ554wipSm21ohkcRSQ+Px0OpUqXo1KmTtTKcudYUKlSIm2++2XqdKd4lJiZe0eDskSNHLhqcBf8JDsxseEOGDOG9996jVq1a1uriJpQTFBRkXScnTJhgXSdFRESuJqVKlSIyMtJqp30+HwEBAXg8HpYsWcLp06cv+H57H9fr9bJx40aef/55pkyZwtatW63+immr7ZNSmPc2atSIgQMHsnjxYt577z169epFz5496dGjBxMnTmTs2LHUqFEj1f4PwJo1azh+/HgW/YZERESuXXfffTft27cnKCjIGuDrcDj8agCTJ09mwoQJHDp0yHpfVqz+fu7cOZYuXcrvv/8OJNUGTJ3zueeeo1atWpm+TxEREREREZHUTJ06laFDhwL+Y3kg6VlzaGgoo0ePpmzZstYkkJnJ5/OxbNkydu7cmWLSa6fTSePGjalYsWKm98/TWnFWgVkREZH0U91dREQk8yg0KyJXtZwSnI2NjWXZsmWsXbvW6piYVXN8Ph/Vq1enevXqAJpxJ5t89dVXbN26FcBvkLXP56NFixbW7I+ZcU7YC75hYWE0atSI6OhoSpUqZQ3yTv7a06dPs3z5chYvXux37iaXPDhbr149a5vmnLYHZ8ePH0/Pnj39ArOa4VFEMsIETW+55RaCgoKsVbh9Ph/Hjh2jQYMGvPjiiwB+kwNcqeDs0qVL+eijj9IdnE2uWLFi1KlTh+nTp/PGG2/w0EMPWceRkJAAJF0nmzRpAmRNAVJERCS7eL1eXC6X1V+1P5AD+P7779m8ebNf+23aQtNem/7NDz/8wDvvvMPjjz/O//73P06dOmW12/Z+lunTOJ1O6tevz8CBA5k4cSIdOnSgUKFCfuFdn89nTdIRFRVFnTp1UvSpAFavXs3mzZuz4lckIiJyTQsNDaVr1640b97cmlQjtZnvZ8yYwZgxY9iwYQOAVXvNTLNnz2bWrFkA1rEA1K1bl7vuuitT9yUiIiIiIiJyIadOnfL7c/JxNm63m99//529e/daY5Qy07///svSpUv577//rP63eRbv9XqpV68eYWFhWTL+J7XgrMYfiYiIpJ/q7iIiIplHySwRueplZ3DWDBb+8ssvmTJlirUijyn8ud1uypUrR//+/QkICNAqs9nk888/Z+7cuQBWkNn816BBA15//XWALJndEZJmkSxdujSzZ8/muuuuw+Px+BWGzT4PHjzI0qVL2bZtG5B2MMsenJ05c+YFg7P//feftZKTeY8CsyJyKerVq0eHDh0ArFnuvF4vs2fPplatWvTo0QPAr3h3JYKzMTExfPHFF5cVnPV4PAQFBdG8eXNGjBjBqFGjaNq0KQEBAbz77ru6ToqIyFXL6XTicrlo1qwZkNSOm7bO5XKxb98+Ro4cyerVqzl27BhwfvCP0+kkLi6OP/74g2HDhvHiiy8ye/Zs617AvM6+Sr3P58Pj8ZAvXz4GDx7MG2+8Yd1fmLbf3EeY95jjCgwMZNKkSVSrVs06TtMHh6SJkrxe70XvM0RERCRjIiIieOGFF7j99tutQTNmwix7DeCzzz5j3LhxzJ8/H0i6V7jUdjl5v94MDgKsOrvD4SB//vzce++91gQgIiIiIiIiIldCnz596NOnD+A/sbRZYCExMZH333+fTz/9lP3792fKPu1jzqZNm8b3338PpJwMs3nz5rRv3x7IugmhTXC2e/fu1vcmTJig5+oiIiLppLq7iIhI5nD4tBSSiFwj7J2GMWPGMG/ePE6cOAFgzcIDSTf+QUFB3HbbbQwcOJBSpUpdUljSFPhWrVrFM888Yw3WNYFIr9dLwYIF6d27N48++qi1Mp9cOT6fjxMnTtC/f3++++47K2xqBleXLVuWfv36XZEZkcz5efjwYXr27Mkff/xhnS/m3DAF7kcffZQ333zT+gxpFZLtneMuXbqwfv16q/OaWkDb4XAQEBCgwKyIZJhpJ//44w/69evHrl27gKT2NSAggJ49e/LII48wadIkZs+eDfgH/E1YPzw8nKioKCpXruzXbl9svwBz584lKiqKnTt3Wvu2t+0RERG0aNGCbt26UaRIkUu6rtnfc/LkSWJjYylevHiKn4mIiFxtzp07x8CBA1m6dClwPrBqBtpERkZSo0YNWrZsSYECBfD5fBw5coR58+axb98+/vnnH2tbZmIN++r05uFdmTJlqF+/Ph07dqRSpUrWe9LTzpp7h/nz5zNs2DASEhKs/rfP56NixYp89tlnVh9JREREMte+ffsYNGgQ69evtwYEmzbfPkFWREQE9evX58033yQ0NDTD+7HXCw4fPszcuXOZNGkSgDVhpc/nw+v18vjjj9O3b19A/XYRERERERG58iZNmsTYsWMB/MYAmWflQUFBdO3alTZt2lCqVKlL3o/9ufmYMWOYMmVKin0CVKtWjf79+1O3bt0sWzjA7siRI0ydOpWbb77ZmpxT/XMREZH0U91dRETk8ig0KyLXlIwGZ+vXr8+AAQMyHJw1r123bh1PPPGEX2DWbD8wMJBmzZrRp08fSpYsmfkfVtLlzz//pFOnTpw5c8ZvxSS3281DDz3EwIEDCQsLuyLHYs7PQ4cO8eSTT7J7926/88Y+C9Rbb71F27ZtL7rNiwVn7as7aYVZEblcbrebvn378sUXX1grd3u9Xq6//nqio6NxOByMHj2amTNnAlkTnP3444/9QrtZGZy90PdERESuNosXL2b48OGcPHnSCqKa9s8+KU9ISIg1CMc+KZF5gGeYfpfRoEEDnn32WSpXrkx4ePglt687d+6kXbt2nD171np/QEAAQUFBLF68mNKlS1/qr0BEREQuYv/+/YwcOZLvvvuOxMREv0kKTW3T3Btcd911PPbYY9SrV4+yZcta27DXM+F8nzv5vcGSJUtYsWIFX3/9NXB+pntIujd56KGHGDFihPVnTVgpIiIiIiIi2SF5cNbUxTMrOGvv86YW0oWkvnX+/Pnp1KkT3bp1IyQkJDM+WrokJCQQFBRkHYeeq4uIiGSM6u4iIiKXTqFZEbnmZHVw1rxm/fr1PP7441YY0RQ9TSelcuXKDBs2jBtvvDHrPqykyefz4fF4eP311/n0009TFIvz5s3LggULKF++/BUt2prz88CBAzz66KPExMSkOtvkzTffzJAhQ6hYseJFt5meFWcVmBWRy2Xav4MHD9KpUycOHDiA0+m0VqDr3r07L774IqdPn2bixIlMnz4d8J/dNjOCs9HR0URFRaUZnC1cuDD333//ZQVnRUREriX2tnL48OHMmDHDegBnD8EmfyBn2mZ7O5x8hVqAWrVq0bBhQ3r06JFpx/zkk0+ybt06a8ZbY/bs2dSpUyfT9iMiIiIpHT58mPHjx/P5558THx/vN4AH8LsXCA8Pp2DBgjzzzDNUrFiRGjVqXHDbhw4dYv/+/Xz00Uds3ryZ48ePAykHArdo0YLRo0cDpKuuICIiIiIiIpKVsio4a39OPnnyZN577z1ru8kn6L/nnnsYPHgw+fPn1zNyERGRXEZ1dxERkUuj0KyIXJOyKjh7scCsWUknLCyM8ePHc9ttt2X9h5UL6tChA7/88ovf6kcej4cHH3yQYcOG4XQ6r/hsSOb83LhxI8899xzHjx/3W5XJ5/MREhLCwIEDad26dbrC3BcKzrpcLgVmRSRT+Hw+4uLiGD16NFFRUda1y+v1UqdOHUaOHEmJEiU4duwYH374oV9wNjNXnFVwVkREJHPZ28p+/fqxaNEivwdw9nCq+bP52s70iV0uF06nk549e9KoUSOqVKkCXP7DNXOcvXr1YsWKFdaxmHuNjz76iIYNG17y9kVERCR9Tpw4wcKFC3n//fc5d+6c3+AaI/k9RMGCBalVqxblypWjXr16BAQEEB4eztmzZ9m6dSuHDh1i6dKluN1ujh8/bk3gYR8c5PP5aNu2LW+99RaQcvZ8ERERERERkeyS2cHZ9ARmTU3+hhtuYMqUKRQuXFirwomIiORSqruLiIhknEKzInLNyuzg7MUCswEBAVYwcdKkSdx9991X6JNKWjZu3EjHjh39BnKbv/fBgwfTpk2b7Do0ABITE5kzZw7vvfcesbGx1nGaWSDLli1LdHQ0hQoVStf2UgvOhoSEEBcXBygwKyKZZ+PGjXTq1MkvpALw+uuv0759eyCpkDdlypQrGpwFrMJgREQELVq0UHBWREQknezt7KBBg1i4cKHVx00+yyycD8yaQTnmgVrRokVp3Lgx9913H3Xr1rW2nxltsZloqHPnzmzcuNHaXmBgIAkJCUyfPp3bbrtN7b6IiMgV4PF4+Pnnn3n55Zc5evQocH62e6/Xm+a9gp2p05u220x6aF7ndDqtWkJ4eDht2rThlVdesfavme5FREREREQkJ0kenE0ebk1vcDYjgdmyZcsya9YsihUrpr6yiIhILqe6u4iISMZoyigRyTI5PZNvVhQF6NOnD48++ij58+cH8Os8OBwOEhISWLt2LUOGDGH//v3WbDpGWoFZ+wBi8/WECROswGxO/x1d7f777z/ra/N34XK5KFq0KLVr1/b7fnYIDAzk9ttvp169esD5zqrH4yEgIIAjR47w008/Afidj2mxB9JmzpxJgwYNrMDshAkTFJgVkUxTu3ZtunXrBvgH9mfMmMHOnTsBKFCgAM888wxdu3ZN8Tq3201gYCCnTp2iQ4cO7Ny506/dTou9fX7sscfo0KEDlSpVAvyvkw6Hg5iYGJYuXcpHH33EkSNHUi0SioiIyHn2dnbQoEH07duXBg0aAEltt5ksw+FwEBAQQEBAAD6fz+qDVKpUiWbNmjFjxgxefvllKzCb1qq0l3qMTqfT6n+b7ScmJuJ0OilatGim7UtEREQuzOVycdtttxEdHc3DDz9M2bJl/dp90w/3eDzWn+33EQ6HA6fTicvlsr429yM+n89v4E6dOnXo3bu3Bu6IiIiIiIhIjtajRw969+4NJNXVTUDFPCs3kz/Onz+f/fv3p7qNCwVmk69eGxkZycyZMxWYFRERuUqo7i4iIpIxWmlWRDKFPWQXExNDREREiu/nVMlXnJ07dy4nT54ELr7irOlYXCgwa/9aK3nmDKaAPGLECKZPn+5XOAaoUKECCxcuJDQ0NBuP8rzly5dbRXOXy2UNVPf5fNx7771WATy97MG09u3b0759e+6//35rmzovRSQzrF69mn79+nHs2DEcDgcej4e8efMycOBAWrZsabW/J0+eZPLkyX4rzppwrJl0IrNXnLW37VpxVkREJGPs7ezhw4f55ZdfWLx4MXv27CEmJsaamCd//vwEBgbSsGFDqlWrRrNmzYiIiCAwMDBL29t169bx9NNPk5CQ4DerbmhoKEuXLqVEiRJq60VERK6wU6dOsWXLFmbNmsWqVaus+mZaq9XbH12aP5v22+l0+k2q1blzZ+677z5uvvlmQAN3REREREREJOe71BVnM7LCbIkSJYiOjqZ48eLqK4uIiFyFVHcXERG5OIVmReSy2W+cZ8+ezbp16+jevTs33XRTip9nF1M0NMeS/JguJTj72muvUbp0aQB++uknunbtagVmzSo7CszmTOb3/8ILL7Bs2TK/vwufz0fdunWZMWMGgFVszg7282Tw4MFERUUB52eEgqSB6LNmzaJy5coZ2rY9OGv2ZbYtIpJZXnnlFT7//HOcTqcVnK1UqRLz5s0jb9681utSC8663W5rprusCM5C0rXP5/NRuHBh7r//fgVnRURE0il5WxkfH4/X6+XQoUOcPn2agIAAihcvTmBgIPny5bvgezP7mGbNmsWwYcP8+v4+n4977rmHcePGZfp+RUREJGOWLFnCL7/8wrx586wZ7E0dwKywY2a093q91qSV5ucej4eCBQtSqVIlunbtyp133mnVCNSfFxERERERkdwiteCsz+ez+sjJg7P2Pm9qK8w6HA4FZkVERK5RqruLiIikLuDiLxERSZv9ZtgMTAXIly8fTqeTGjVqpBpSvZLsoZmDBw9SsmTJFMdkbvpdLhd9+vQBYN68eZw4cSJF4DYhIYG1a9cyePBgxo4dy+7duxWYzWXsv39zbpiOoMPhIDIyMlvDsob9PK1fvz6LFy8mLi4Or9drzQp1/PhxDhw4kOHQrD0wa/YlIpJZTJv65JNP8vvvv7N3714rALt7924++eQTunTpYl138+fPzzPPPAPA9OnTrWC/2+3G7XYTGBjIqVOn6NChQ7qDs6bI53Q6eeyxxwCs4Kz93sDhcHD06FG++OILAAVnRURE0iF5GxkYGIjT6aR8+fIpXpu8T51V7avD4WD37t188MEHwPl7ATNIyEx6pTZeREQke5g2+MEHH+TBBx+kVatW/Prrryxbtox9+/Zx7NgxfD6fVfdMPhM+QJUqVShZsiQdOnSgQoUKFCtWzG8fauNFREREREQkt+jRowcAY8eO9Xs+7vF4CAgIICEhwZp0+uGHH6Zs2bJAyrBt8smoFZgVERG5dqjuLiIicmEKzYrIZUktMAuwdOlSPB4PnTt3ztbgrD0UM3v2bEaMGMG4ceNo1KjRZQdn169fz+OPP87vv//uF5gFFJjNJc6ePWuFZQ2fz+fXMczuvy+z/0aNGlG5cmV+++0363um+P3TTz9x11135YjjFREBrAdvkZGRVKtWjb1791rtrM/n46effqJjx44EBgZabWxGgrNz5syhUqVKmRKcNdfOo0ePsmzZMhISEujRowdFixbN+l+UiIjIVeJCkw7ZJ6rISmfOnGHJkiWcOnXKuu9wOBy43W6KFy9u3QuozyQiIpI9krfBN910EzfddBNdu3Zl586d7Nq1i//++48//vjD6rO73W7y5ctH9erVKVSoELfddhthYWHZ9AlERERERERESPMZtQmj2J9BX0xqwVmPx2N9bYKzDoeDbt26MWfOnFQDsy6XS4FZERGRa5Dq7iIiIhem0KyIXLbZs2dbgdmAgAB8Ph9ut5tly5YBZFtw1h6YjYqKYujQoQC88cYbuFwu7rzzzssKzsbHx1uBWTNbHygwmxvYw8+pOXHiBIC1KlF2M+dks2bN+O2336yVkky4d/v27Tq/RCRHCg8P5+mnn+b7778nPj7eenC3atUq5s2bR8eOHf1CNhcKziYmJlrB2fbt22d6cDYwMJDDhw/zxRdf0K5dO4VmRUREcgnTF/rzzz9Zvnw5CQkJ1oq2pu9UvXp1wsPD1W8SERHJYUyfvnLlylSuXDnd77PX/kVERERERESyUvK6slmZLT4+nuPHj+N0OilatChut5ugoCDgfIAlPf3XtFacTfXANp4AANXXSURBVB6c/eWXX9iwYQOgFWZFREQkbaq7i4iInKfQrIhclsOHD7NgwQIgqeDn9Xrx+XzWwNTsCs4mD8wOHjwYSAq0HjlyhL59+zJ8+HArOGuX3uCs4XA4rBVs7OFZBWZzLvN3UapUKdavX2+dl4aZ/TGnFJDNcdx4440AVuHbHPfZs2dJTEy0iu8iIhdzpdolr9dLtWrVeOSRR4iOjrYmI/B4PKxYsYImTZpQvHhxv/dkJDgbFRVF5cqVMxycdTgcREVFsXPnTrxeL8HBwcTHxwMwZMgQqlatmnW/FBEREck05h7gxIkTjBo1ir///tvqs5tZcgEeffRRwsPDs/loRUREJLnU+vKpDUZOXsPQwB0RERERERHJaskXV/j22285fPgw33zzDUePHuX06dPExMQQFBREREQELpeLGjVqUL16derUqUOFChX8xvFc6Bn9xYKz8fHxqQZmtcKsiIiIJKe6u4iIyHkKzYrIZSlWrBgDBgxg3Lhx/Prrr7jdbiuYkl3B2bQCs6Zo6HQ6OXHiBM888wwfffQRDRo0SLGN9AZnTdBSgdncqVChQgB+gVmA3bt3s2/fPkqVKpVj/u48Hg9ly5alaNGixMTE+J1/Bw4c4OjRoxQvXjzHHK+I5CzJ26Irda0w7fGtt95KVFQUkNQeA2zcuJGtW7dSvHjxFMeXVnDW4/H4BWc7dOhwScHZdu3aAUn3Cbt377YCsxMmTKBJkyaA2m8REZGczrT9Xq+X3r17s3nzZlwul9WGezweALp27codd9yRzUcrIiIi6ZW8L66+uYiIiIiIiGQHp9PJ4cOHWbRoERs2bODHH3/0+7kZh+b1etm/fz8ej4c9e/awePFiChUqRMmSJXn66acpU6YMVapUuWj/Nq3grKl1m/cnX9hBgVkRERG5GNXdRUTkWqUpIUTkkpnAXp06dejduzc1a9YkICAAr9drrTprD87OmjWL33//HSDFyp6Z5WKBWcAaRBsWFkapUqXS3JYJzgL06dOHRx99lAIFCqTYj9m+ArO5h1lJ1qxu6HK5/M7JmJgYDh8+nKP+7lwuF0WKFKFo0aLWis720HZQUFCOOl4RyTnsbdH06dPp0aMH27Zt4+TJk8D5a2JWatq0Ka1btwbwe8A3duxYjhw5kur1ywRnu3btar3PXK+TB2d37tzp126nxQRnAdq1a0enTp0oUaIEAOPGjVNgVkREJBdxuVzEx8fz5JNPsn79equv7/P5rPa+Ro0a3H333dl8pCIiIiIiIiIiIiKSm+zbt49FixbRunVr3nvvPSsw63K5CAgIsCZuNOPjzDgyM4H0qVOn+N///sfLL79Mp06d+Ouvv9K13x49etC7d2/g/HN1+/g687XT6SQxMZHIyEjmzp2rwKyIiIiIiIhIKhSaFZFLZg8Z1q5dmz59+lw0ODtz5kw2b96c4v2ZIT2BWRNuLVCgAPPmzaNs2bIXDNikJzgbGBiowGwuY86TunXrEhoa6ncOmPNl4cKFxMfHZ0m4+1KYwd+hoaFA0r8f+yyS5hwXEbGzt0WzZs1ixIgRfPfdd/Tu3Zs333yTP/74w28SiIuFTi+FCa3ce++9lChRAqfTaT1APHz4ML/88ovf6+yyOjjbtm1bnnjiCaZPn84999wDqP0WERHJSvb+VUJCQqrfTw+Px8M///xDt27dWLdunV9g1vSVQkNDadGiBXXr1s204xcRERERERERERGRq9uqVasYNWoUQ4cOJSYmxgrCmufMHo/Hb6J787XP5/ML0jocDuLi4qhfvz5FihRJ9/5TC87amf2EhYUxatQoihUrZo3PExEREREREZHzFJoVkcuS0eDs8uXLmTVrVqYHZ9MTmDXh1gIFCjBnzhwqVKiQrln2LhScNTP3gQKzuY3P5yM8PJx8+fLh8/ms88f8XW/bto3ExETrHM5uprBuQrNOp9M6x4KCgoArs1qkiOQe9rZo5syZDBs2DEi6Zuzdu5cvv/yS9u3bM3LkSFauXAlgtYmZOWGAub7Wrl2bChUq+D2wO3HiBAsWLLBel9p+0wrOApkSnO3QoQO33XYboPZbREQkq5l2dt26dSxdupRdu3ZZ30/r/sM+8Ajgv//+Y+nSpfTu3ZsNGzb4BWbNfYfP5+Phhx+mS5cugPpKIiIiIiIiIiIiInJxixcvZsCAAaxYsYIzZ85Yz57NGB17HRrOPws3Ez/bORwOihYtStOmTQkLC8vQcVxsxVmA+Ph4fv75Z/7++2+/YxIRERERERGRJOoti8hly+7gbFYGZo3UgrMRERHW9idMmKDA7BVkP1/i4+MvaRsOh4NixYrxwAMPAFjnKiQVtf/8808mTpxo/Tm7uVwuvF4vJ0+eBJKO1/weihQpQuHChXPEcYpIzpA8MPv2228D51dcdzgcBAQEkJCQwIwZM3jppZd4/fXX+f333zl37lymTxjg9XoJDQ3l5ZdfplChQrjdbpxOJ06nkzVr1jB37lyANNvP1IKzZkZdt9t9ycHZ5NR+i4iIZL1t27Yxffp03njjDYYPH86KFSuA8+2wuQcx/zffdzgcbNq0iTfffJN33nmHP//8M8UKsz6fD6/Xy0MPPcTAgQMBrAFNIiIiIiIiIiIiIiJpiYqKom/fvhw5csQaU2bGu9nH6BQvXpzIyEhKly5NyZIlCQgI8Ju0Gc6P8WnQoAHNmze/pONJLTjrcDhwOBy4XC4SExOZOHEiixYtYv/+/Zf/CxARERERERG5ygRk9wGIyNXBDE51OBxWcHbMmDFs3rzZCsYkD84CdO7cmZo1a/q9PyMuFJg1YZnLDcwaJoDjcrno06cPCQkJzJ07l5EjR9KkSRNAgdkrwf47njJlCmvWrGHs2LEUKlTokrZTpUoV4PwKh/ZA7tq1a9m4cSO1a9fOvA9wiUzhOy4uLsXPwsLC8Hg8VoBMRK5tFwrMut1u62dmxVav10tsbCyffPIJP//8M5UrV+aFF16gdOnS1krWl9u+mba6ePHi1K1bl2XLlvkFczdu3EibNm0u2Dab4CzA9OnTrQeDHo8nxYqzUVFRVK5c+ZLaexEREck6x44dY968efzwww9AUp9rzZo1tGvXjpo1a3LPPffgcrkICQnB6XRy5swZzp07x/Lly9m6dSufffaZdf9g78OZmoLP56NFixaMGDECQPcCIiIiIiIiIiIiInJR06ZNY+TIkQBWTdkEZR0OB6VKlaJt27ZUrFiRG2+8kaCgIJxOJ263m7/++otjx46xYMECDh8+zLZt20hMTKRq1aoMGDDA2talTO7Yo0cPAMaOHev3fNyMEUpISGD69OkAtGnThlKlSmXGr0NERERERETkquDwXc7yjiIiydhDNRs3bkwRnPX5fDidTqt416xZMys4m/z9F3OxFWbNKnqZEZhNa7+7du2iUqVKGT52uTT23/GsWbMYNmwYAI0bN2bIkCEULFjwkrbbvn17Nm3a5Pf3Z5rHJ598kldeeSXF/q80j8fD33//zSOPPGIFZ02Qu0+fPnTv3j1bjktEcq7Zs2czdOhQwH/1dSDFZBWmbTYKFizIAw88wB133EHDhg2t71/qwzy7b7/9lp49e6Y4rvfff5/GjRtf9P0nT55k8uTJ1sO/1FaWDw8PV3BWREQkB5owYQITJkwA8Fs1HpLuR8qUKUPevHkpVaoU586dY//+/bjdbvbt22fdv9gnyTKTcJiftWnTxqoN2FemFxERERERERERERFJzdy5cxk0aBCQVLf2+XxWYPbGG2+kadOmtGrViiJFilxwO3FxccTHxzN79mx+//137rvvPlq2bGmNlbsckyZNYuzYsdYxmrq6+TooKIiuXbsqOCsiIiIiIiJio9CsiGS6KxGcTc8Ks1kRmDWSb0eB2ayX1sqJJiB111138fbbb2coOGv+HqOjoxk5ciTx8fHW6kQmkAowatQo7r///sz/UBn0ww8/0L17d+v3YJrwnHJ8IpJzfPTRR4waNQpIGZgFUlxHTPsMWKvCmweCnTt35u6776Zu3bqZdnwDBgxgwYIFfsfXoEED3n77bYoWLXrR96cWnPV4PPh8PgVnRUREcqjPPvuMV199FTjfj3M4HDidTquPb/pg5ntwfrIgl8tl9dfMa8zrCxQoQKtWraztq+0XERERERERERERkYtZsmQJ/fv393s+bgKz99xzD7169aJs2bIEBwdfcILp5OPGDh06RHh4OHny5Mm0Y00enDXPxxWcFREREREREUnd5U1hJSKSCrPCC0Dt2rXp06cPNWvWJCAgwFoBxuv1WqGc5cuXM2vWLDZv3pzi/WkxRciPP/44xQqz5uusCswCKbajwGzWSiswa84pp9PJ999/T79+/Th+/Hi6t2v+Hhs2bEihQoWs89Kco2ZVoiFDhrB+/fpM/lTp5/V6SUhI4KuvvvI7bqfTyfXXX0/9+vWz7dhEJGcKCQnx+7O5hiZvr8LDwwGs9tnhcODxeKwQrcfjYfr06fTv358XX3yRf/75hzNnzgBctK2+kDp16hAaGorL5bICMdu3b+fgwYPW8VxI/vz5eeaZZ+jatSuQtJKcuX673W4CAwM5deoUHTp0YNeuXX4TIYiIiEj2qFy5MiVLliQoKIjExEQrBGsGIJn239QEzH2LvY5gn+TDtO01a9bk+eefV2BWRERERERERERERNJt06ZNfPjhh36LQJg69EMPPcSoUaOoUqUKwcHBABdcLTb5pNXFixfP1MAsQI8ePejduzdw/vm4+TogIICEhASmT5/O/Pnz2b9/f6buW0RERERERCQ3UmhWRLLElQjOLl68mCFDhgBJq9RcqcCsXHlpBWbdbjcej8danehSgrM+n4/SpUvTt29fnE6nVQwHrODYyZMnGT9+PFu3bs38D3cRJhQcGxvL77//7ndcXq+X8uXLU6hQoSt+XCKSs3Xs2NFqI+0PzAwTRLnlllt44IEHrO+bttk8EDTvO3DgAF9++SVPPPEEI0eOZPPmzX4B3IwGUh966CFq1aplvc/lchETE8PYsWNJTEy84ANHI63grM/n8wvOtmzZku3bt+s+QEREJJtdf/31fPTRR9SrV4+goCA8Ho81UVHyGoB9RVn7983rTP+/Q4cOvPDCC7Rv3x7A7/5FRERERERERERERCQ1R44c4YsvvmDv3r0A1hgcn8/HAw88wIgRIwgKCsrwRNJZvehC8uCsqbErOCsiIiIiIiKSkkKzIpJlsjo4GxcXR9GiRQkMDLQCNuZrBWavPnPmzEkRmDUuJzhrCta1a9emVatWOJ1Ov/CXGaz9xx9/MGPGDPbs2ZOJn+riTHBs4sSJ7N6921pJ0ePxULhwYTp27AhcfFVGEbl2mOvBI488Yq3Gbn9gBlht8Pr162ncuDEjRoygVatWhIaG4na7U4RTHA4HLpeL/fv388knn9ChQwfGjh3Ljz/+CKRcgf1CzDX2qaeeokiRItbDR5fLxbZt21i5ciWQvpVsUwvO2j+n+Z5ZwVZERESyV/ny5Rk+fDgvvPAC4eHh1n2H6c+ZCTCcTqd1DxIQEGDdK3i9XsLDw6lQoQLvvfce/fr147bbbgPOTzgkIiIiIiIiIiIiIpIa8yx9x44dfPHFFyQkJBAQEIDH48Hn89GkSRPeeust4PxYpJwmteCsGUek4KyIiIiIiIjIeRpJJiJZKiuDs+3atePFF1+kaNGi1gBbBWavTvHx8SxbtgyAkJAQv8CsGUhtzqdLXXG2YMGCNGvWjLJly1rbNZxOJ3FxcXz33Xd8/PHH/PPPP5n0ydLn559/Zv369QDWAHKAatWqUapUKesYRUTg/Cy4AG3atPELzpo20efzERAQQGxsLP379ycwMJCXX36ZqKgo7rjjDiIjI63VZk07bK6zZuKCSZMm8eqrrzJw4ED27NnD2bNnrdddiDmG8uXLU65cOeuYPR4Px48fZ82aNUD6Z+FNLTgbHBxMYmIiABMmTODuu+9O17ZEREQk6xUuXJgnnniCuXPn0rZtW6pXr47X68Xr9VqTa5hagH1V2QIFClCrVi2GDBnCpEmTuPfee/0my1CfSEREREREREREREQuxOl0cvz4cYYPH86pU6f8ArM33ngjvXv3JjQ0FMjYxNFXWvLgrJmQUivOioiIiIiIiJzn8KVnCScRkctkVo4B2LhxI2PGjGHz5s243W6cTqcVBDSz3jVr1ozOnTtTs2bNFO8H/xVkFi5cyAcffMDevXvJnz8/0dHRCsxehf744w+6dOnC2bNn/QJhyZlCsNfr5a677uLtt9+mYMGCF9y2/fyaNm0aI0eOBLCK43B+Vcb8+fPz8MMP0759e0qXLp2JnzB1Z86c4Z133mHevHnWMZlB41OmTOHOO+/M8mMQkdzJ3lbOnz+fgQMHAv7XEfN1aGgo/fv3p02bNpw+fZrt27cTHR3NypUriYuLs0K25ppo2mwTaKlUqRLVq1ene/fuVKxYMdVjSM3q1at56qmnUhzX+PHjadq0aYY+78mTJ5k8eTLTp0+3vmffTvJ7CREREcl+CQkJ+Hw+vv76a/799182bdrEf//9R2BgoFUnuOGGGyhfvjy1a9emSpUqfu252ncRERERERERERERSQ/z7HrevHm88847xMXF4fF4cDqd5MmTh2eeeYZOnToRFBSU3YeabpMmTWLs2LFA6uMAgoKC6Nq1K23atLEm5RcRERERERG5Vig0KyJXTFYGZ+fMmcP8+fMZPXq0ArNXIZ/Px9mzZ3nrrbf4/PPP/cJaqTHnU0aCs/bzaejQocyePRtICuGagK7Zb/78+WnRogUdOnSwwmFZNVh78uTJvPfee4B/gbtTp07069dPqymJyAVlJDgbEhLCa6+9RqtWraxV27766it++eUXPv74Y2ubZnum3bavRpsvXz46depE7dq1qV+/fqrHYfh8Ps6dO8eAAQNYtmyZtXK4z+fj4Ycf5rXXXiM4ODhD17mTJ08ybtw4oqKiGDt2LM2aNbP2pUCNiIhIzpNaG21m9Tfsq8man6u/LyIiIiIiIiIiIiKXomfPnnz77bdA0pggj8dDxYoVmTVrFoULF87mo8u41IKzDocDl8ul4KyIiIiIiIhc0xSaFZErKiuDs2fOnCEsLEwDaK9iy5Yt44UXXgDOh1nNOWHOHUg6Ly5lxVn7ufPKK6/w+eefW/syIV1zfoaFhdGwYUOeeOIJatSoAWR+KGvWrFkMGzYM8A+43XTTTbz88svUrl070/YlIlevCwVnzcqx5oFZaGgoAwYM4L777iNPnjzWNjZs2MCcOXPYvHkzBw8etMKy9okFzDYCAgIICQmhbdu2PPjgg1SqVImAgIA0r5GffPIJr7/+unVMbrebsLAwoqKiqFq1aoavrSdOnOC///6jSpUqgAKzIiIiuUlq7ba9z6c2XUREREREREREREQu1Zo1a3j66aetFWZ9Ph9BQUGMGDGCe++9N9XJoHOKCx2bVpwVERERERERSSln9vBF5KplBroC1K5dmz59+lCzZk0CAgLwer04HA4rhON2u1m+fDmzZs1i8+bNKd4PWKEdgLCwMAAFZq9C5u/83nvv5eGHHwawgl4Oh4NixYpRtGhR6xyyr0TrdDr5/vvv6devH8ePH7/gfkzQFuDVV1/lnnvusfZlzitThD5z5gwrV67k9ddfZ9WqVdax2I/3Uj4jQHx8PB9++KFfYNZ8tpCQEJo1a6bArIikm72tbNOmDYMHDwbA7XZb1z0Tdo2NjWXIkCF89dVXxMXFWduoU6cOb7zxBlOmTKFx48ZEREQAWA8THQ6H9bXH4+HMmTNMmzaNV155hddee41///3XejBnmGNq27YtjRs3to4pICCAM2fOMG7cOM6cOZP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      },
      "metadata": {},
      "output_type": "display_data"
@@ -146,8 +147,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:47.095046Z",
-     "start_time": "2023-06-26T20:57:46.900469Z"
+     "end_time": "2023-06-29T18:13:44.686933Z",
+     "start_time": "2023-06-29T18:13:42.708789Z"
     }
    }
   },
@@ -162,12 +163,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 1417,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
+      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
@@ -196,21 +197,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:47.585269Z",
-     "start_time": "2023-06-26T20:57:47.420767Z"
+     "end_time": "2023-06-29T18:13:47.427870Z",
+     "start_time": "2023-06-29T18:13:44.686821Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 1418,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 36,
+     "execution_count": 1418,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -223,8 +224,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:50.720960Z",
-     "start_time": "2023-06-26T20:57:50.656856Z"
+     "end_time": "2023-06-29T18:13:49.991158Z",
+     "start_time": "2023-06-29T18:13:47.453581Z"
     }
    }
   },
@@ -239,13 +240,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 1419,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 37,
+     "execution_count": 1419,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -279,8 +280,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:50.959153Z",
-     "start_time": "2023-06-26T20:57:50.955010Z"
+     "end_time": "2023-06-29T18:13:50.049824Z",
+     "start_time": "2023-06-29T18:13:47.881847Z"
     }
    }
   },
@@ -295,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 1420,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -305,14 +306,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:51.545487Z",
-     "start_time": "2023-06-26T20:57:51.536408Z"
+     "end_time": "2023-06-29T18:13:50.050140Z",
+     "start_time": "2023-06-29T18:13:47.900438Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 1421,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -326,14 +327,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.203099Z",
-     "start_time": "2023-06-26T20:57:51.791065Z"
+     "end_time": "2023-06-29T18:13:50.579733Z",
+     "start_time": "2023-06-29T18:13:47.937930Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 1422,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -341,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.207568Z",
-     "start_time": "2023-06-26T20:57:52.203915Z"
+     "end_time": "2023-06-29T18:13:50.580036Z",
+     "start_time": "2023-06-29T18:13:50.526151Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 1423,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -363,20 +364,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.500557Z",
-     "start_time": "2023-06-26T20:57:52.305711Z"
+     "end_time": "2023-06-29T18:13:51.354272Z",
+     "start_time": "2023-06-29T18:13:50.556017Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 1424,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 42,
+     "execution_count": 1424,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -387,19 +388,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.505455Z",
-     "start_time": "2023-06-26T20:57:52.501004Z"
+     "end_time": "2023-06-29T18:13:51.367321Z",
+     "start_time": "2023-06-29T18:13:51.358923Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 1425,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 2160x360 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 9000x1500 with 1 Axes>",
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      },
      "metadata": {},
      "output_type": "display_data"
@@ -424,19 +425,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.910522Z",
-     "start_time": "2023-06-26T20:57:52.648900Z"
+     "end_time": "2023-06-29T18:13:56.999821Z",
+     "start_time": "2023-06-29T18:13:51.375766Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 1426,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
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bq5UrV+rtt9/W119/bW0YMmOhwMBAq3004yKz+H3llVfqsssu08UXX6yQkBDqLcqEeX47HA4tXrzYCuhK3KCLysPUxW3btqlfv37au3evdTDcQw89pAEDBvi7iKimlixZopEjR+rIkSOFTvs3h8rceOONGjdunJ9LiqqGG3RRkZjn9B9//KEhQ4Zo37593KALAEU4cOCAfvjhB73//vv6/vvvPf6sqHl3Sfq///s/9ejRQxdeeKHi4uIYp+O0mbqzfft23XXXXVq3bp2k4+s7kucakLmRVJJHANLUUbfbbYUoAgMDdd1112nIkCFq1qxZOf9kqA64QRcVkamXv/32W6GArsQNuihfJwrmmjlK77YwNDRUc+fOVZs2bWgnUS5Mu7lq1SoNGzbMI6ArcYMuyp9pGwsKCvTll19aB7FLhdfQuUEXqNgI5wIATuhEwVwzwU0wF/7iPWmTl5enI0eOaOnSpfr999/19ddfa8+ePSooKJAkK0huNqUHBgZ63Pzct29fnXnmmbruuuuK/QwAAFB67M/ZBQsWaNy4ccrPz5d07CRqM2Vh73vaN2PYn+v257V5xicmJmrIkCG68cYbFR0dXY4/GaqqZcuW6bbbbrN+bz/Zl4Au/CUrK0tTp07V119/rc2bN1vjHrfbbbWZ9rpq2BcXGzVqpAsvvFAjR45UaGgo9RZlgoAuqoLMzExdccUVysnJsQ40cLlcuuyyyzRu3DhFRkYyj4RyY57zjz/+uBYsWCDpWFtr36AeERGhuLg49enTRwMGDFB4eLg/i4wqiIAuKhICugBwYrt379YzzzyjVatWaffu3YUOvLSHI4OCgqy+pdvtVlJSks444ww99thjatCggZ9/ElRG5jmdnp6uQYMGafv27R6BRrOuY0RHRyskJETh4eHKycnRkSNHdPToUauvaZ9LMqGfwMBADR06VAMHDlR8fLy/flRUYQR0URER0EVFcLJgrnmNJI+20O12a9asWerUqVP5FxrVFgFdVDQEdIGqgXAuAKBYBHNRWZjBifdAIz09XTt37tS8efO0detWrV271lqsCQ4O9lissQd+Lr30Ut14440666yzFBMTwyQ5AABlwP58nTNnjsaOHSup6FCukZCQoNDQUAUFBSkjI0Mul8tj05DpD9iDkvXq1dOoUaN02WWXWWFe4HTt2rVL/fr10549e4pcSCSgi/K2a9cuPf7441qxYoUOHTrkUQ+9QxH239s3sZm6HBYWposuukhPP/20wsLCqLcoEwR0Udn99NNPuvvuu5WXl2f1U83Gy6lTp+q8887zZ/FQDWVnZ+vaa69VZmamNZYKDg5WQUGB4uPjdd9996lt27Zq2bKlv4uKKoyALioSAroAULT09HSNGDFCf/75pyQVel673W6rP2nG7uZr0vFxzw033KB///vfCgsL888PgkrJPJ+3bdumfv36ae/evdaBQvY9SJKUmpqqtm3bqk+fPoqKilJISIgOHz6sLVu26JNPPtGPP/6ovXv3SlKRz/igoCCNHz9e1157Lfs8UCYI6KIiIqALfzpRMNfsxzSHwUjH20rz588//7yuvvpq2kiUKwK6qGgI6AKVH+FcAECRCOaiMjODDTNgyc/PV0FBgaZMmaJVq1bpp59+sl5rf510/HaJOnXqqGnTprr//vvVsmVLJn8AAChF9mfvrFmz9NRTT0kqeiNFRESEzj33XF100UXq1KmTEhIS5HQ6tXXrVmVkZGjKlCnaunWr9u/fb90W6X3SerNmzTR9+nTVqlWLRR2UWK9evfT7778XCjoaBHRRXrZv36577rmn2E2Vpk00m9JMINJ7g5BpN833Xn311XrqqacUGhpKm4kyQUAXld2dd96pJUuWFNpE1L17dz377LOqWbOmv4uIaiQ9PV3XXnutCgoKrDl9h8OhxMREzZgxQ82bN7deSxuKskRAFxUJAV0A8JSenq7+/fsrIyPDWhs3z2Jz+KX39kEz3rH/WWpqqkaNGqWOHTuW+8+Ayss8l7du3aq+ffsqKyur2GBunz59dPPNN6tly5YeddTsXZKkxYsX67///a8+/vhjScfXlcxBRQ6HQ7GxsXrrrbd0xhlnlP8PjGqBgC4qIgK68AdfgrlmrfLMM8+U0+nUunXrJB0/SDgtLU0PPvgg7SPKHQFdVDT2gO7ixYs1c+bME66hX3755QR0gQqEf4EAgEII5qKyM4MMM2ETFham6Oho3XvvvXrhhRf04osvKiUlRQkJCdYmSu8bz3bt2qUffvhBt956q958801rYkhSocVJoKzZB9ZmIQcAKiv7osrMmTNPGMyNiYnRI488ojFjxqh3795q1KiRoqKiFBsbq5SUFF166aWaNGmSRowYofbt28vtdnsc0mGe8xs3btSTTz5pbSYCToepn3Xr1pUk65Rf+yEv5v/NeOn555/XjBkzrNfzHEdpSU9P16BBg/Tnn3963ApuFrJNGxgaGqqAgABFRUVZ43WzWc0Edr0Xu7/66iu9/PLLKigooM1EmTD1Ljg4WJdcconS0tKUmpoq6Vj9tNfpvLw8ffHFFxo3bpxycnJoS+FXpi9w1113qVatWtbvzf9v2LBBWVlZkhi7o+yY+mbs27fPusnZHHwQGxuriRMnqnnz5h51kY0ZKEshISE655xzdM899yg1NdXj1j0jICBAixYt0qhRo2gnUaZMn/HMM8/UlClTFBcXZx1UJB1rS834aPr06Zo2bZp1Ax8AVDU7d+7UkCFDlJGRoeDgYGtOyMwPSVLr1q119tln66KLLlKLFi2UmJho/bn5X3Jysu6++26CuTglRQVzQ0JCigzm3nHHHRo9erRat25trfFI8nh+S9Ill1yiu+++W4MGDZKkIp/xubm5mjt3rvLz8+l3okzY5yh79uyp/v3768wzz5R0fH5TOjYG2rdvnz7//HNNmjRJGRkZRR6IAJQGUy9TUlL05ptvKjY2tthx0NSpUzV9+nRlZmb6s8io5E4lmNu+fXvNnTtXzZo1kySPNfb9+/dbXwPKk2k3O3TooMmTJys6OrrYdnPy5MmaOXOmtQYElAXTTwwJCdEll1yigQMH+rSGnpubyxo6UAGwCgsA8HCiYK7p3JVWMPdEHUEmIlGa7JPbSUlJuvLKKzVhwgQ99dRTatu2rRwOh0eYx3xPcHCwcnJyNHHiRD311FP69NNPrT8DypJ3+2gfWJs6ag8AAUBl4R3MHT9+vCTPYK452bxmzZr6z3/+oxtvvNEKQ3q3eS6XS3Fxcbrxxhv14IMPqlOnToUCuiYouXLlSn322WdFvg/gCzNO6ty5s6Sin8X25zQBXZSVbdu2qV+/fkpPT7c2VUqyxu2S1KZNG/Xs2VNvvvmmPvjgA33yySeaMWOGHn30UZ1//vmKiYnxWFy0O3z4sD7//HN98skn5fpzoXohoIvKyLSZycnJ1u075mtBQUHauXOnXn/9dUmEIFE2zNz9rl27tGDBAklS/fr1FRUVpaCgIKveXXbZZWrZsiUnpaPcEdBFRUJAFwCk7OxsjR07Vlu3brXm4E1YIjY2Vn379tXrr7+u+fPna/bs2Zo4caLmzZun9957T4MGDdLZZ59tzTs98sgj6tq1qyTm1+Gb4oK5BQUFkjxvIrvvvvt0zz33KCwszPp+7z0Z9nnMBg0a6NZbb1WfPn0kyQoAScee8U6nUytWrPAISQKljYAuKiICuigvpxLMTU1N1VtvvaWwsDBFRkZ6BHMlaeXKlTpw4EChQwmB8kBAFxXNqQR0Dx8+TEAXqEC43hAAYLEHbMvixlx7SCIgIMBjEtyEI0NCQiQdn2hnAxFKi/fiTe3atVW7dm117dpVr776qpYvX67Vq1dbg2uXy2UtUObn5+unn37STz/9pG3btmn48OHUS5QJ7/Zxw4YN2rJli1auXKnMzEzVrFlTSUlJuuKKKxQVFaW4uDjC4gAqjZMFc01fsKCgQHFxcZo+fbpatWrl8R7ebZ5pL0NDQ9W+fXvdc889eu655/Trr79arzebgbOysrRq1SpdddVVtJ0okcTEREnH63RAQIDOPPNM7dmzx7qBwtRpe0BXktLS0qwJcfqTOB32zWxF3TguSTfddJN69eqllJQUj++tVauWUlNTddlll+mvv/7SmDFjtHPnTmv8Ix1fgNy5c6eWLFmiHj16KDIykjqLMuEd0JWkGTNmaPXq1dZ43OVyye12WwFdSXr44YcVHR1NvYTfxMfHa8CAAfr++++tOVPTL1izZo3WrFmjdu3aFQqkASVh2sVt27apT58+1tzlzTffrCZNmmjNmjXWa1NSUjw2tQPlyR7QnTBhglavXi3J8wDNwMBALVq0SJL0/PPP8zxHmfEO6A4ZMkT79u2zxlJmg6XD4dD06dMlSbfddpuSkpL8XHIAKDmn06lPP/3Uehbbg7mJiYl6+umn1aFDB0VGRnp8T40aNRQVFaV//etf2rFjh959913Vq1fPGrczzoEvTuXG3AceeMC6BfdU6lfdunV1ww03aOPGjVqxYoXHnwUFBWnjxo165513rPcGyoJ9vadnz56SpNmzZ+uPP/7wmN+0B3Qlafjw4UpOTqZNRZnwDugOHTpUBw4cKHIcNHXqVEnSoEGDrPVP4GROFMw90eU/khQbG1voAOysrCwdPnxYsbGx/vmBUO15B3SHDRumnJycItvNyZMnS5IGDhyohIQEP5ccVZV3QNcoag3dBHSlY2voUVFRrKEDfkI4FwBgMQHbhx9+WO+9957HpLgJizkcDrVv3/6UgrneYbOtW7dq27Zt+umnn7R582YdPXpUhw4dksvlUt26ddW4cWM1adJEF1xwgSIiIugkosw4nU6FhIRoxIgR2rBhgxYuXKg33njDY4O7GagEBATI6XRqwoQJysjI0K233qpmzZoxUY5SY+raoUOHtGXLFs2dO1c//PCDdu/eXei1U6dOVevWrdWvXz9deuml1tdZvAFQUflyY649mDt79mw1a9bslCYMAwMDlZKSol69emnHjh3KzMy0PtMsBH388cfq1atXodAvcCrOOeccJSYmav/+/VYINzExUc8884yGDh2qHTt2ENBFmShqM5vkGcwdPny4hg8frvDwcEmeB16ZXycmJioxMVHz5s3TnXfeqd9//71QnXW5XFqyZInmzZunIUOGUFdRZgjoorLq1KmTrrrqKi1cuFCSrANhtm7dqmXLlqldu3aMz1Fq7MHc/v37Kzs7W0FBQZo6daoOHTpkbZ40G4QaNWokiXki+M/JArqmbhLQRXkgoAugujp69Ki+/PJL7du3z2PfR0JCgiZPnqw2bdoU+h5zO5R5VtevX1///Oc/rT+nfwlfnOjGXO9g7oMPPqi0tDSP7zsVKSkp6tatm0c41/Q3JWnz5s2l80MBJ0BAFxURAV2UlZMFc+17jO3B3KNHjyo0NFTNmjWTdHxtMzg4WIcPH9bvv/+uOnXqsOYDvyGgi4qGgC5Q+QS4zWwEAACSvvjiC40YMUKSPDb7SscG1x06dNDcuXMVEBDgUzDXdPCOHDmi7du3a968efrmm2+0fft2a0LcfmK6XYMGDXT++efr6quvVseOHT3KwcQkSot3ffr00081e/ZsrVu3Tvn5+R6b1M0AW5IuuOAC9enTR927d2cQgxIzA+Y9e/bo9ddf108//aSNGzdaEz8hISFyuVxyuVweC5aS1L9/f11zzTVq3769JNpIABXPiYK5pj2zB3PnzZunxo0bW23jqdq/f7/uvvturVixwloEko5NpoeGhuq1117TeeedV0o/Haqj/Px8XXvttdq2bZt1iEtCQoIWLVqkjRs36t5779XOnTs9wucBAQFyuVwKDg7WqFGjSrThCNWTL8HckSNHatiwYT69n2ljd+/erYEDB2rr1q1F3sR7xhln6I033lDt2rXpY6JMmf6Cw+HQ4sWLrYCuJI/FRUmKiIhQjx49COjC7+bMmaOxY8cqICDAY9NRUlKS3njjjSI3uwOna/v27br55puVlZWl8PBw5efnS5LOPPNMFRQU6O+///bYHNS9e/fTHlMBpaWgoEArVqywArqmvbSvDblcLl155ZUEdFHmTJ/xjz/+KBTQlTzHVoMGDSKgC6DSmzhxoiZMmGCNVZxOpyIjIzVu3DhdfvnlrCeiTJRnMNfU4YKCAt188836888/rT8za+yNGjXSe++9p8jISOo7ypy9Hn/wwQdWQFc6Pr8pHau7cXFxuvzyywnoosyZevnbb78VCuhKnuOgwYMHE9DFCZ0omOtwOIq9Mde+x/iPP/5Q7969rTbR+Mc//qF777233H8mwJtpN1etWlUooCt5tpvDhg0joIsyZx/3LF68WDNnzix2Db1GjRrWGjoBXaD88a8NAODhggsuUI8ePSTJmiA3J0uGhITohhtu8NhYfiJOp1OBgYHKzs7WK6+8olGjRmn27NlWMDc4ONjajGH+FxQUpICAAAUHBys9PV3z5s3TgAED9Prrr+uvv/6SVHyYFzgdZtLITPpcffXVevTRR5WWlqaYmBg5HA6rXpoTsCRp6dKlevPNN/XZZ58VmjACToXZKLl9+3bdfvvtWrBggTZu3OjRNjocDiskbk4aNHVx9uzZ+s9//mOdfkUbCe82iTYK/nSqwdy5c+eWKJjrcrlUs2ZN3X777QoNDbXqv2lP8/Pz9dNPP1llA06V0+lUeHi42rZtK0nWxrY9e/Zo06ZNat++vV555RXVrVvX6kdKKnSD7owZM6zvp53GyRS1mU3yXPx74IEHrGCuL+2bObygdu3amjRpkuLj4+VwOKw22ywwpqenKyMjg41BKHPeN+impaUpNTVV0vH5JVMPzQ2648aNU05ODm0pyp1pZ/v166cuXbpYc6dmvJ6Tk2NtvjTtKVBSixcvVnZ2toKDg5Wfn2/1M//44w/rNihT31auXClJBHPhd/YbdFNTUz1uzZWOzxksWrRIo0aN4nmOMuV9g25cXJzHuN2+/jN9+nRNmzZNe/fu9WeRAeC0uN1uORwO/f7771ZAwjx7zzrrLGusXZpzPcy1QyrfYK50/KAXt9ut2rVrW18z7ylJOTk5ys/PZ24T5cI+R9mzZ0/1799fZ555pqTj85uSPG7QnTRpkjX/TluKsuB9g25sbGyx46CpU6dq+vTpyszM9GeRUUGVRjDX7XarZs2aioiIkCTr+wMDA7V+/XrrNYA/ed+gGx0dXWy7OXnyZM2cOVNZWVn+LDKqOO8bdAcOHFjsGvrhw4f1+eefa9y4ccrNzWUNHShnhHMBAB7CwsLUs2dPtWjRQtKxSWvTcXM4HFq0aJG1kHMiJlCRkZGhe+65R7Nnz9batWslyfpeh8Mht9ttTZibTWze4TOn06lXXnlFL774ohYtWiSJ8BlKX2BgoFWn2rRpo7S0NI0dO9bapG4fYJtfr1y5UtOmTdOCBQvYbInTYupTenq6+vXrpz/++MOj3TV10kxy2ttee738/vvvNXXqVL3//vuSaCOrM7OAnZ6ebj0zmWiBv5womGuem9435jZp0qREtzuZ53lycrJCQ0OtMpg+pyTt2bNHUuluPkL1YermGWecIen44os5XEiS2rVrR0AXpaaoG3OL2sw2aNAgSZ5j+JMxJ6k2adJEQ4YMUUhIiCRZ4/Pg4GDl5eXpww8/lNPppJ6izBHQRWVhNgBL0iWXXKKIiAjreR8YGKj8/HxNmzZNubm5hCNRatLS0jRixAjFxMRI8pyjNP0DM2/0yy+/KCsri7khVAgnC+hKIqCLckNAF0B1EBAQoL///lvffvutXC6XXC6XNYd0ySWXWCHG01XUs7qouSie6dVLccFcU/dKO5hrBAYGKjQ0VG3atPH4utlrlJeXx7Mc5YqALioiArooqdII5krH2r569epZh2BLsvqrK1as0LZt29jDgQqBgC4qmlMJ6NrX0AnoAuWLcC4AoJCuXbuqW7duCgwM9NhY5na7tWLFCn333XeSij+pyh7M7d+/v37++Wdrot28jxmgm9tz7b/2Dp+Zgcw333yjV199VbNmzZJE+Aylzz7BU7NmTfXo0UNz585VkyZNrDC5CffYb6eYPXu23nnnHQYxOCWmHu3cuVODBw9WRkaGgoODreCOeY09oGt+b25zttfF3377TTNnztT8+fMl0UZWR2YBe9u2bbrppps0cuRIffjhh5IqTvDLBDKpm1XfyW7MNZOG9mBuSW7MtQsICFCzZs1Ur149qwz2PubevXtVUFBQIf5NoPIx7Ve9evUkHW9fHQ6Hli9fLulYe0xAF6WhqFsmTF+wtDazmdefddZZVn/TfkCXJO3atcs6uRooawR0UVmYNvHiiy+2gj2mDgYHB2v79u1auHChJMY/KDkzlh4+fLj69eun+Ph46+v2AwdNG/jLL79o1apVzA2hwiCgi4qEgC6qIu92k+c/du7caYUTpWPByBo1aqhDhw6STq2O2NcppWPtZH5+vn755RctWbJEn3zyiebMmaMvv/xSv/zyi3WAoRkzccB11XeiG3Ol4+tCUukGc817SJ71zIyDzFx8aGhoiT4DOFUEdFERnWpAd9q0aQR0Ian0grnmvSQpMTFRkud6kMvl0s6dOz1eB/gTAV1UNNygC1R87KgCAHhwu90KDQ3VXXfdpZSUFCsgYd8A/Nprr2nFihVFTgqaoNjevXs1bNgwpaenW2Ez8z4mXGYP6DidTo/wo3m95HkLwKZNmzRt2jTNnDlTEuEzlC2n06nGjRtrxowZOu+88xQWFiZJHos5krR+/XotWLBAn332GYMY+CwwMFDZ2dkaM2aMtm3bZt0kGRQUZE3gREdH67LLLtO1116rm2++WZ07d1ZYWJjVXkryaC//+usvzZ49W3PnzpVEG1mdeC9879u3T0FBQXr88cf1wQcfSPJ/8Mt+U/ScOXO0f/9+v5UFZetkwVzp+I258fHxpRrMNZ8vFX97ZHBwsEJCQgiZ4bSYOtWhQwfFx8d7tKumXTN1q7QCujzLq6fy3syWmpqq888/3+Nr5v22b9+u3NxcxjooNwR0UVm4XC7Vrl1bd999t0JDQ625TofDoYKCAn3//feSGJuj5Mxt95J05513egR07X0A03Y6nU49+uijWr9+PbdNoBB/BWR8CegGBgYS0EW5IKCLqsSMkfbs2ePR/0T1tmbNGuuASrMXIyYmRg0aNJDkex2xz7EfOnRIy5Yt07/+9S/16tVLaWlpuvPOO3X//fdr7NixGjFihPr376++ffvqzjvv1KxZs5SRkVEqc/6ouE4WzC2rG3MN80xft26dx9cDAgKs9rFGjRol/hxUPvbxhD/GQCcL6NoPFyagi/JyKgHdadOmEdDFCYO55jnrazDX7tJLL7W+1zyzDx06pMWLF0tiPIOKg4AuKppTvUGXgC5QvtiJCgDwYAa8NWrU0LPPPqt69eoVuvnB4XDo0Ucf1datWwsNhgMDA3Xw4EGNGTNGf/31V6GwmTmV9cYbb9S//vUvzZw5U7Nnz9a8efP02GOP6brrrlOdOnUked6aa5+c3717t9555x198sknVpmBsmDqbXJysp599lldeeWVio2NlXR8Mt/Uyz///FPz5s3Td999x0Q5fOJwOPTBBx/o999/l3Q8uOhwOFSzZk3dfffdmjx5siZMmKBnn31Wjz/+uCZNmqS5c+eqc+fOio2N9TjQwB4WnzNnDgHdasT8/W/ZskX9+/dXZmamQkJC5Ha7lZeXpyeeeMLvAV1Tv7dv364bbrhBTz75pN59910dOHCg3MuCsnWyYG5AQIDHjblz584t1WCudKzd27Jli7Zu3epR382vY2JiSuVzUL0FBwdbhxAZv/76q3bt2uXxtZIGdO3/ppYvX15okxGqpvIO5po6690+mq/v3LlThw4dYuyNckVAF5WBaXtbtmxpzWfabxr/8ssv9dFHH0li/hIlZ2/b7rzzTvXv398joBsQEKCAgABrTn3//v1sooRl//79Onr0qMchf0Z5PjNPFtA1vyagi/JAQBenqqh1Fu8bRcub/UDMXr166emnn9bXX3/tl7KgYjHPUNNHlI6ve/v6fLXf7vjpp59qzJgxuu222/TZZ59pw4YNVh80KCjIGge5XC5lZ2dryZIlGj9+vHr16qX58+drw4YN1vuyZll1nCiYa25uLstgrqlLDodDBw8e9OhTmsBPmzZtlJiYSL2rZkwdy87OlsPhKDKcaz/ot6ycKKBr/3dAQBfliYAufHWyG3MDAgJOOZhr3q9OnTpyuVxWP8F8ffv27eXwkwGnhoAuKhoCukDFRTgXAFCIueG2Xr16GjJkiGJjY62T+0znbdeuXXr77beVk5Pj8b1Op1MfffSRVq9ebf3eDMojIyOVlpam1157TePGjdNtt92mjh076uyzz1aHDh3Up08fPfPMM3rttdc0evRoa8BuX9g0k5MbN27UO++8ox9//LFc/9ug+jE3UyQkJOhf//qXrrrqKiUkJEg6PlFvBts///yzZs+erT/++MNv5UXFZ9q0vLw8LVmyRAcOHPCYwExMTNTEiRM1ePBgdejQQdLxuhYWFqYzzzxTzz77rG699VY1bNjQY1HG3kbOnTtXc+bMkURAt6oLCAhQTk6OhgwZor179yo8PNx6fgYGBvo9oGvfIHTLLbdYfYcXXnhB8+fPJ6BbhfhyY25wcLAVzC3tG3Ol46df79mzRyEhIVa/1r4BOSUlxSovcLpq166t1NRUj6BNfn6+jh49Wih8c7oBXe9/UwMHDtSsWbM8NrOh6vHezGYWuMtyM5t5XxPONQs2pu2MiopSVFQUwbJq5kQ3eZs2qqwR0EVZKs063KZNG11zzTWS5DEWCwgI0IoVK+RyuaiPKBX2tu2OO+4odIOuCV+Y0MWyZcv0xRdfKDc315/Fhp9t3bpVF154oa666irdcsstevnll/Xxxx9rzZo1OnLkiI4cOVLoe8zYuiye977coEtAF+WFgC5OxLv9KSgo0JEjR5SRkaGDBw/q8OHDVjtp2rDyvJnPPu/ev39/7dmzR9u2bdObb76pJUuWWK9jDrR6Kur5aeYufakTLpfLagtffvllPfHEE/riiy8kHZvjN31OcyuvPVxhnutBQUHau3evxo8fr/Hjx1vfz5pl1WDmJLdt21bkIYPm4CBJGj16dKkHc81nSNKCBQu0cuVKjzbZ1MvU1FSFhIQwr1mN2EPj1113na666irdcccdevPNN/XBBx8oPT1dWVlZVp0w9bGsnuEnu0GXgG714/13Wl5z7XYEdHEyJwvmnu6NuUazZs3Utm1bay7T/BtYunSptecYqEgI6KKiOdWArllDJ6ALlK2T94IAANWSGVCff/75+vHHH7VkyRKPkGx+fr6++uorde/eXV26dFFBQYFCQkJ06NAhffnll9q/f7+k4wGMmJgYPfXUUzr33HMVFRUlyXPDkHT8ptzWrVurdevWSk1N1fjx47V27VodOXJEgYGB1uZgp9OpFStWaPHixerUqVOpBTqAopgBSVxcnEaMGKGwsDB98sknyszM9DgV2Ol06rvvvlOtWrX02GOPWTdXstgDO1Mf5s2bp19++cVjAjMuLk6vvvqqNVg2zKKMaQeTk5M1YMAAJScna9asWVq/fr3Ha1wulzZs2KB58+ZJkvr162cNyqmPVVNBQYF69uypWbNm6cCBA9bN9d4BXenYwp+pJ6W1AF4c+wahvn37au/evVbb6HA4NGHCBLlcLvXp00c1a9Ys07Kg7Jn25a233iryxtzAwEAVFBQoPj6+TG7MNf3EgoICvfrqqzp06JA14Wg2goSEhFgHH9AeoqQSEhKsMVJwcLAOHDigNWvWqFGjRoWeuSagO2LECO3cubNQO20CupKUlpZmtdMBAQGaPXu29W/qyy+/VGhoqPr166cWLVqU/w+NMlVUMFeS1VeUyuaWiZCQEEnS33//bb2vqZtmU5L5fFQP9k1sc+fOVUpKipo1a6akpCQlJCQUWe/Kqm/pHdCVpBkzZmj16tVWP8LUWbO4KEkPP/ywoqOjy6XPi8rF1JuCggKFhoZaXz/d8bKpY9dff72++uor/fnnnx7v+eGHH6pPnz5q27ZtqZQfsI/n77zzTqu/mJ2dbX3dPMczMjL01ltvKT4+XhdffLFHnUf1sHXrVvXr1095eXnavXu30tPTrU2O4eHhqlevnhITE9WlSxclJCTonHPOUVxcnGJjYyUdHzeX9vPUHtCdMGGCVSb7hkwT0JWk559/nud5FeY9N2Rvy8pj7sY7oDtkyBDt27fPGrebDZYOh0PTp0+XJN12221KSkoq87LBP0zdM+3O119/rU2bNumbb77R/v37lZOTo/DwcAUHB6t58+Y6++yz1aZNG3Xo0KHc1quLmncPCwvTkSNHtHr1as2YMUNut1uXXHIJc6DVlNloa79B14QmT1ZP7e3y448/bq01SvKYKzJttXl/81n220yDgoKUn5+vH3/8Ub///rsyMzNZs6wiTDD3mmuu0ZEjRzzmMqXj9SAtLU0DBw6UJJ8DO6di3bp1+vLLLyV5rkcFBASoYcOGuvTSSyWV3bwVKpaiQuPSsXHR999/L0lKSkpScHCw2rdvr6ZNm+qMM85Qhw4dFB4ebo2DDNNOlbT+2MfxPXv2lCTr0H/7/KY9oCtJw4cPV3JyMu1lFWLqwYEDB7Rv3z41btzYo26Zv+vSXD8vjndAd+jQoR77TOzjoGnTpkk6Ng5KTEws03KhYjBtzkMPPaT333/fY19kSYO5khQVFaVGjRrp999/lyRrDcjtduvvv/9Wampqufw7QOVg2k7v53F59++8A7rDhg1TTk5Oke3m5MmTJUkDBw60LgFC1WPvo3lnIcqDd0DXKGoN/fDhwx5r6FFRUYyRgDJAOBcAcEINGjTQrbfeqh9//NFjMGE2aU6cOFGdOnWyNvPOnz9fP/30kyRZJ2PGxsZq0qRJVhDC8O7Y2Qfobrdb7du319ixY/Xqq6/qhx9+UG5urjXxaQb8c+bMUefOnXXZZZeV8X8JVHdmgB0bG6vhw4crPz9fn376qXJycuR2uz3q5Xvvvaf69evr9ttvZ5IchZiBudmwa8IWNWrU0EMPPWTdGFFc3TFfj4mJ0VVXXaXIyEi98cYb+uuvvwjoVmPx8fG65ZZbFBERoddee02HDh3yuGHPHwHd4oK55iap8PBw5efn6+WXX1bXrl0J51YRkydP1osvvihJVr9RknWCfkREhCZMmFDqwVzp+AaghQsXauPGjR4TjWaRqEePHmrWrBltYTXi3c6Vxt+9eU9zurnpA0rS+vXrJRUd/vY1oOt2uzVo0CAFBgZq1qxZeuqppyRJYWFhysnJ0ccff6wDBw7ogQceUO3atUv0s6DiKOqWCfshLlLZBHPN+xw8eFDZ2dkem+Dti4yxsbEs0FQT9k1s/fr1U2ZmpoKDgxUYGKikpCSdeeaZSk5O1gUXXKC4uDg1b95coaGhhepGaS5CEtBFabGPUR5++GH16tVL3bp1U1xc3GmPl03dSk5OVsuWLfXnn39afQMzJpszZ44eeeQRRUZGlsWPhWrIPp6/44475Ha7NWfOHI+Arnndli1b9MYbbygxMVFnnXUWm9qqEe/+pffNJgUFBdq4caM2btyo5cuXSzp2AFFQUJDatWun1q1bq2nTpjrnnHMUFBRk3dJslHTTMAFdSFJ6errmz5+v+vXrq02bNmratKkCAwNVo0YNj2dycRsxSwsBXRimjuXk5Gj58uV6//339dVXX3m0TfYbRtavX6/PPvtMtWvXVkpKim6//XY1aNDAOqi6LBQ373706FFrbLRixQrt379fZ5xxhho2bFhmZUHFVbduXUnH1yCDg4N18OBB/frrr7rwwguLbU/tN+aOHz/eWmM0YQl7e1jULZPm34dpP+0HLhw4cEBjx47V4cOHNXToUNYsq4BNmzbpyJEjko71DYu6+fHQoUNau3atWrVqVerB3KNHj2rp0qVauXKlpGPto30+tWnTpmrWrJmkwnuTUPWY52NRB2Cadsjtdis7O1tOp1O7d++26mx0dLRiYmLUpUsX1apVS127dlVSUpISExMVGRlZqP6Y9zqVenWygK59Xp6AbtVk/v63bNmiQYMG6fDhw0pNTVV8fLy6deumOnXqqHnz5oqOji5yjG3qQGnWBQK6OBlzOY+Z7zZrhyUJ5pp/CxdddJG+/PJLuVwuORwOuVwuuVwuffzxx+rVqxdzmJB0vL6kp6fr3XffVcOGDdWqVSs1bdpUkhQREVHk68t6/oiALkwd27dvn+Li4uR0Oq0MhfdryrIfR0AXqFgI5wIATuqcc87RQw89pNGjR1snnJqbyVasWKEnn3xS//73v5Wfn69ly5ZZE94FBQWKjIzUs88+qw4dOpxSJ9N0Glu0aKGRI0fK6XTq22+/1dGjR63ghRnIvPDCC2rZsqUaNWpUxv8lUN3ZA7r33HOPcnNz9d///tdadLLXy1deeUV16tTR9ddf799Co8IJCAjQjh079MMPP3h8/Zxzzjnl2xxr1KihCy+8UAEBAZo0aRIB3WouPj5e1113nSR5BHT9cYPuiYK50rGNHPn5+ZKkf/7zn0pJSSnVz4d/uN1upaenSyq+HQsKCtJff/2levXqqU6dOqVehh07dmjhwoXWadj2U1wlqXPnzgoPDy/1z0XFZN8kvnHjRjVr1qxUnoOmzWzVqpW10cfUsy1btkgqPjjpS0D3hRdeUHh4uEJDQ61gruljBgcH6/DhwwoNDSWYW4WYG828b8w1t35L0r/+9a9SD+ZKx+vz+++/rw0bNlifKx2/LdcE0VmYqfrsN+aaYG5ISIjcbreOHj2qnTt3aseOHZKkOXPmyOVyqU2bNkpOTlZKSoratm2r+Ph4tWnTRlLh/kBJbkghoIuSso9R+vTpo6ysLP300086//zz1bFjRw0ePFjBwcGndSOKWfi+66679OOPP2r37t1WYE2SfvvtN+Xk5CgyMpK6iFLjyw265nXr1q3TM888o4ceekjt27dnc1s1UFT/0mwgt9/+JB3v45nQjMPh0JIlS7RkyRJJUmxsrKKionTuuecqMTFR55xzjurWratatWopKiqqyPrka1tHQLd627Ztm2644Qbl5uZKOnYgVWJiourUqaOzzz5bCQkJOvfccxUTE6Pk5GRJx+trWdygQ0AXpu3avXu3XnjhBa1atUrbt2+3Dh2y3xhqxjrma3v37tV///tf/fXXX7rooovUp0+fMlm3Lm7e3RzwZW8/r7/+eoK51ZgJQpq5HVN3V69erQsvvLDY56n5+pQpUzRz5kxJxw9Yt9f/Jk2aqE2bNqpfv74VaN+4caPS09O1fft263PNWN28j5n7DAkJUVpaGmuVldwFF1ygV199VSNHjtTRo0cL3Vzrdru1YMEC5eXladCgQdYcY0mZ/uwPP/ygN954QwUFBVZdM3PsSUlJeuihhxQREcG6eDURFBSkzZs3a+DAgYXGQWbO0MzV2A+mDAoKUm5urnJycvTuu+9KkqZOnaqgoCC1aNFCTZs2VcOGDdW5c2fFxMSoefPmHgcSnkoI6EQBXVMWbtCtmuzz7rfeeqv27t2rwMBAffPNN5KkTz75RA6HQw0aNFDDhg3VvHlznXvuuYqNjVXbtm0lSaGhoZI8129K49ADArooimlvJk6cqNGjR+uDDz5QUFCQtW55usFc6Xh/s2XLltb7mX5DUFCQdu/ere3bt6thw4a0e9Wc/TDhnj176tChQ5Kk8PBwJScnq3bt2urUqZPi4+PVqVMnxcbGWm1TecwfEdCtvux1s1evXkpISFBiYqK6d++uWrVqqW3btkpOTrbC46Ydsx/wUprtGwFdoOIIcBd1bBkAAP+f6QQ6HA49/fTTmj17tiTPDRvJyckaM2aM6tatq1tuuUX5+fnWgHzAgAG68847S3wzxN9//62HH35Ya9as8ZjUl46dYvjss8/qggsuoKOIcmHqWVZWlh5++GEtXbrU43ZAsxjfpk0bPfbYY4TOqrmiJiK3bt2qnj176ujRo9YC9VNPPaUbbrjhtD4jLy9PS5cuLRTQlWQtejdv3ly33HKL+vXrJ6l0bg5ExZSVlaWPPvqoUEBXOn6zaEREhB599FFr4a80n58nC+babwAcNWqUhgwZUuplgP8UFBTohRde0IwZMyTJYwOQCS/GxMRoyJAhuv7661WrVq0Sf6a97jz55JNWf9UcKGPawauuukovvPCCJNrA6sC+0PLwww9r48aNuueee9S1a1dJJa8Dbrdbu3btUs+ePXXgwAFrEaZWrVr65JNPFBsbe8LvX7NmTaGArnS8nbaHys3NFKY+2+sybWfll56erptuukn79u1TaGioCgoKCt0ycdddd+muu+6SVDZ/53/++aceffRR/f777x7jbbfbrebNm2vixIksglcD9oXEW265xeMWZ8MsFgYGBlpzRfZbo6RjBwiZE/67d++uunXrql27dsUeKHCqJ/7b56kWL15sBXQleSwuSsdOzO7RowcBXXiMUW655RZlZmYqIiJCeXl5Vv3r0KGDLrroIl1xxRWqX7++9b2+1hu3260jR47oueee09y5cz1uE3C5XOrXr5/GjBlTlj8mKjl7UNIeSvTl+0wdnThxohXQNe9lf13btm0J6FYDeXl5uvHGG7Vp0yarfympyJvMJHk8h83/2zeqm8OEjPDwcAUGBqpRo0Y644wzVK9ePZ1//vmKjY21biYz7EHgE7WlBQUFWrFihRXQ9Q6Ymfe68sorCehWEfYbzcLDw5Wfn+8xh2TUrFlTktS+fXs1bdpULVu2VMeOHRUREVHsZvCSbrw09fWPP/4oFNCVPOc2Bw0aREC3irDfxnPvvffq999/l6Qi2yPze/sYxn6DVM2aNdWnTx8NHz68VA8JPJV59/vvv1+DBw+WxDxodbV+/Xr179/fmrc0gbSUlBRNnDhR8fHxxT5Ply9frieeeEIbN270CGFI0mWXXab/+7//01VXXVVk/d68ebO+//57zZw5U3v27LECm95taGBgoJ544gn16tWr7P4joNz897//1ahRozwCupLn+tA111yjtLS0Egd0TVv4yy+/aOjQoR7roKbfGRkZqbvuuksDBgyw2mdUfUeOHFHPnj21adMmRUREWIdE28c6kop9rtvriXmm24WHh8vtdislJUVJSUnq0qWLmjRpYh1GXFQftLh+qf3Z/MEHH1gBXcnzUAO32624uDhdfvnlBHQrsaLm3b3XBU2ds68NSsfqYqtWrRQVFaVOnTqpSZMmatq0qc4444wi27eS3NBnvve3334rFNCVPPuat912GwHdasDehpmArqQSBXMN087deeed+uabb6xnuGmfH3jgAQ0aNKiUfhJURvZDDcz8kVnTKWr+yIxv2rdvr+bNm6tFixbq2LGjwsLCFB8f7/Fa+4EdpTF/tGrVqkIBXcmz3Rw2bBgB3SrC/lzv27evMjMzCz2/4+PjFR0drWbNmql9+/ZKTk5Wly5dFB4eXmgfkamHpdHHM+9RUFCgxYsXa+bMmcWuodeoUcNaQyegC5QewrkAAJ+tXLlSzz//vFatWuVxmot0bCGmYcOGmjJlisetTpMnT7Y2wJ8u02lcvXq1BgwY4LGIYwbnXbt2tU5oQ/Vgn0S3T5abkyRP56aTU2HeOyMjQ2lpadq8ebPHANvtdis0NFT/+Mc/NHz4cBZ+qin7RM7kyZPVt29fRUVF6YcfftDgwYOtP0tOTtb8+fOVlJR02oNtArqw81dA90QbhMxNZwRzq76CggI999xzmjVrliR5BL3MBHRpBXTtdeell17SG2+8YX2mfQNx69at9cgjj6hjx47Ut2rA/vx99NFH9c4770iSLrzwQt16660lHp/Y3XbbbVq2bJlVv6OiovTRRx9Zt/qcSHEBXcOcEGx+7XK5dMUVV+ill16SVHqnYsO/TNtl2koThDB9tKCgIF155ZV64IEHlJCQUOptWH5+vqZMmWLdMmH/XIfDoSuvvFLjx49XWFhYqX0mKq5t27bp6quv1tGjRz36cPYxg3d4x36iuT3YLR0/PTo+Pl61atVS8+bNdc455ygpKUlnnXWWAgMDFRMT41EGXxYhCejidKSnp6t3797av3+/Vb/tdczlcik4OFgxMTG6/fbblZKSovbt21t/7uv4+ccff7Q2Dpm67Ha71bp1a73yyitq0KABY3FI8r1O+bKxkoAuvP33v//V2LFjrdt4vEOuhncw13zNvM4eOrMfJOT9zDfjkg4dOqhWrVrq1KmTmjdvroSEBDVu3LjI568Zz9g3DRHQrR7Mzc6ZmZmF+pymX2mvj06n0+NAmIiICEVHR+ucc85RYmKiunbtquTkZNWtW7dQ39I41T4gAd3qxb6xcuDAgdq1a5fHs7e4sIT9djv7GKhdu3Z66KGHSvXgXg7ExOm47777tHDhQo9ne2hoqKZNm6azzz672PH+f/7zH02aNMnjxidJGjJkiIYNG2a1tQUFBQoJCZHb7ZbD4VBISIj1XqtWrdKSJUv0zjvv6ODBg0WuUTVv3lxjxoxR586dy+s/CcpQeQR0TVu4bt069e/fX7m5uYX2ZwQHB6t79+667777Ch0cg6rvhx9+0IMPPqi9e/d6rBMWFcg1vEO7Rc17mn6B/ZZcIzExUS1atFDt2rXVrVs3xcTEqF27doqOji70DDb9Wu9AEAHdqm/Lli3q06ePx7ykdOK5dpfL5VHXzJ9FRUUpOTlZycnJ6tatm2rVqqWzzz5bkZGRioqK8vhce13xpd4Q0IU3e1t1xx13aM+ePZo7d26Jgrl2r732mv7zn/9IOh5Udzqd6tKli1555RVFRUUxnqmG7MFcX+aPzLPa7CU3z/bIyEjFxMSoc+fOSkhIUNeuXVWrVi3Vrl1b0dHRJ/zsUy0rAd3qwbSJ9tC4qZv2g62954+kY4HdkJAQdenSRfXr11dqaqpatGihsLAw63DC4j7vVBDQBfyLcC4AVDGmQ1ZQUKDg4OBSn5CbMWOGnn/+eY/NwqYjmZSUZG32cLlcuuaaa/Tcc8+VyueaTuPs2bP15JNPSjo+YRoYGKjk5GRNnz5djRo1KpXPQ8VV1CBg//791sDW4XAoLi6u0Maz0z0d8ETMv7dNmzapf//+ys7OtsphBv0xMTGaNWuWWrVqxQCmmrEPkP/9739r/vz5Sk1N1ZQpU7R582b17t3bai/btWunBQsWlPgzCejCrrwDumwQgl15BHTtdef111/XK6+8Yn2WPZhbs2ZNDRw4ULfddhvhsmrA/vwdM2aMFixY4DH53a1bN/Xv31//93//V6LPMfVv1KhR+vTTTz02VDz99NO6/vrrfXrGFhXQLeqmNLfb7XFjLsHcqsPcOP7ee+8pJydHkgpt8AkPD1f37t316KOPKjExsVSenaZ+LlmyRKNGjVJeXp61IGPGMklJSZo/f77q1q1Ln7GaWLVqlW655RZJKnRr7okUFeixb2Iv6hTrhg0bKiwsTJ07d1a9evXUqlUrtWrVShEREYVu3ylqTE9AF6fi8OHDeuCBB/Tll19aXzN1wHszh6mziYmJuvbaa3XdddepQYMGCg0N9bnujB07VnPmzJHk+e/jscceU58+fcrgJ0RlYuqRqWsrV67Uvn37tGXLFuXk5Cg6OlohISFq1aqV6tatq3r16nnUu+Keyfb6+dprr2nOnDkEdKshe/1YunSpRo8erX379nkEdL1Dt94bzL3DZkWFeaXjtzybjXDeG+CkYxvVTUi3W7duSkhIUEpKiscNAfbyHD16VD///LNeeeUV/frrrwR0q6CMjAxdc801OnjwoMLCwnT06NEi+3incptzaGioJKlJkyZq2LChGjZsqK5duyo+Pl6tW7f2+Hxfb3OWCOhWF+bveefOnUpLS9O2bdusv2fvwwjq1q2rqKgoBQQEKCsrS/n5+crNzfXYRF63bl2NGzdOXbp0KbUyMu+OU2X+7mfMmKGnn366UJ3u2LGjJkyYUOSm8PXr1+umm25SXl6ex7zA8OHD9c9//tPnz5akzMxMffXVV3rxxRc91vKl4yHKG2+8UaNGjSp2czwqF++AblHPzNMN6Jo6/Ndff6lfv37Kzc31aAtNO9ygQQM98cQTpdoOo3JZvny5/vnPf3r03YpbczF9TPseH/sYqKjgrvm92ZfnPZZyOp1q2rSpoqKilJKSorZt26phw4Zq3769nE6n1Xf19u6772ru3Ln6888/rfcioFs1HD58WCNHjtTSpUutORj7ng2jqG389j+3z1t6z7UnJiYqKipKqampatasmRo1aqT27dsrNDRUcXFxHq892eGYBHThzb72bu9TlmSd2tS/TZs2aciQIcrIyPBo8yIiIjRv3jy1atWqVH4GVD4ZGRm6+uqrlZOTo7CwMB05cqTIwzZOdf4oKChITZo0UePGjdWgQQN17dpVNWvWVMuWLT0+/3TmjwjoVg+bN29WWlqaMjIyigyN2+c47XsvpOPPf+lY/Y2JiVHt2rWVmpqqxMREnXfeeYqNjVXTpk0LHS5sn98/WR+QgC7gP4RzAaAKMR2jzZs365VXXtHQoUPVpk2bUpmQs3ccR44cqUWLFlmdMLMJ3R6WdTqduv322zVixIhS7bD9/fffGjFihLZs2WINpsyj7JVXXlGPHj1K5XNQsXhPCmZnZ2vdunVaunSpNm3apN9//93a1Jafn69GjRqpUaNGatOmjS6++GLVq1ev0AmBpcXU76+++kqjR4/WgQMHrEGMGVynpqZq4sSJio+PL5MyoOKx11kTzDWT5Oecc47uv/9+3XnnncrOzpbT6dRFF12kiRMnWqdMlwQBXdgVFdA1G4pKM6Bb3AYhcwMfG4Sqp7IM6NrrzqRJk/Tyyy9bn2EmNE2ftEePHnriiScUGxtLe1fFFRXMNfXNbBaXpH/84x+69957S/RZpg5+8MEHGj16tIKDg61TrEeOHKlhw4b5/F5r1qzRvffeq+3bt0sqejG+devW+uCDDyQd27Be3AYOVA6mLbIvYj/zzDP68MMPPQK69k1A4eHh+r//+z+NGTOmxAFd87krV67U0KFDdfjwYav9NP2DqKgojRgxQrfeeivP62rC/D3//PPPGjBggFwul0d/znvBu6gbcqXCm9bMr6XCC372xcrQ0FDFxMQoKSlJ5557rnXyf1RUlJKSkoqsg/bNSF9++eUJFxcJ6GLjxo3avHmzJk6cqIyMDGVlZVkbNOwbHk0f0jjjjDPUqlUr3X333UpKSioUHi/KokWL9PDDD+vIkSPWezocDjVr1kyvvfaaGjduXCY/Iyou+zjE4XAoPT1d06dP14YNG/TLL78U+T0hISEKCgrS+eefr9TUVPXs2VPR0dEKDQ0t9sR0ArqQfA/o2jVu3FgZGRmSjs0t2pmxjuF9S2Rxt/wUdbuuw+FQ/fr1lZCQoLZt2yo1NVV16tRRSkqKCgoKFBkZKUn63//+p9dee00rVqwocgxPQLfyWrp0qV588UX9/fffko4HGOwb14wT3ezsvdHN3FDhHTJPSUlRfHy8unTpoiZNmqhevXpq0qSJdRukXVFtKwHd6iE7O1sPPPCAvvvuu0IhxpiYGF122WU6//zz1aVLF8XGxsrhcCgnJ0cbNmzQe++9p++//16ZmZmSjj1/L774Ykmls+5CMBclcfDgQd1www3avn27R+AsKSlJo0eP1hVXXGHVUVNn3nrrLT399NMKDAy0grm9e/fW2LFjPV7nq/z8fC1dulSPPfaYR0DXzD9FRkZq8uTJ6tixI3P3VURRAV0Txj7dgO7Jgrn2kNDzzz+vyy+/XBLr39VZUQFdw96/bNeunTZt2qQjR454hB0DAwOt+SH7vrTi5kjN3iDpeH31Dl80btxYcXFx6t69uxITE9W+fXvVqlVLERER1nrPokWLNGXKFCug671WREC38vroo4/07rvvasWKFZIKh6+l4oM2RY2JzDhIOv5s9q5ziYmJioiI0LnnnqtatWqpa9euqlu3ruLj44tdY7S/V1BQEAFdWOx9wNIca+Tl5WngwIH67bffPA6BczgcuuWWW/TQQw+VyeVEqPgWL16sl156SRs3bpTkOX/k/fwrbl3SHMRhXlPcfKXb7Vb79u2VmJiozp07q3nz5qpdu7YaNWpU5FzRieaPCOhWXW63W0ePHtXFF1+szMxMRUREKC8vr8j+off3FRcg9z5sIzIyUk6nU23atFH9+vXVpk0bnXXWWYqLi1ODBg2K7PsVt1Z0soCu2+22+iIEdIHSQzgXAKoI0yHatm2bbrnlFmVlZal79+4aOXKkWrZsWSqDVNOR279/v4YPH67Vq1cXOjlQOr7JYsqUKTr//PNLfULwySef1OzZs61OqxnIjB49WgMGDCi1z0HFYO/sb926VX/88Ydefvll7du3z9q4LsnaSOG9CSM8PFznnnuuLrjgAo/bSUp7EJGbm6spU6Zo+vTp1mld0vFTjh544AH17NmTwUs1Y4JB9o0+DodDCQkJysnJUUFBgdxutzp16qRZs2aVWv0goAu77OxsffTRR3r11VdPeIPumDFjdMMNN0g6tTbyRBuEvBfc2SBU/ZRFQNeXYK5573bt2mnSpElKSEigzlVxJwrm2jfpOJ1OnXfeeZo6dWqpPPt+/PFHDRo0yOP9u3fvrsmTJxc7EW7YP//ZZ5/VtGnTirwtSDpWv0ePHm09t6nPldO+ffvkdrsVHx/vt4Cu+bx169apf//+ys3NLfLmkosuukgjR44kQFbN2AO6AwcOlNPpLHSDrvcio515zpsQT3EBIO9FSBOO8F6ErFGjhkJDQ5WSkqLGjRurefPm6tChgyIiIlS/fn2P1x45ckRLly7VlClTtGbNGkkqNGdFQLd68n7eZ2RkaPPmzZo2bZrWrFmjffv2STq+GG0Pnds3tSUmJuqiiy5Sjx49dN5551lfL+55P2zYMH377bce9TAmJkbjx4/XxRdffNJ+AqoOe1uzcuVKLV26VO+8844OHDggqfDto/b20X5AQkpKilJSUnTHHXec8ABAArrVk/czzdeArtlMPnToULVr107x8fFatmyZtmzZok2bNmnTpk1yOBwez2gzzjrZRnXpeP02n1PcM7958+aKiopS165dVb9+fTVp0kS7du3S9OnTtWbNmkLjNjOfRUC3cjKHqvz888+SCh+qInkGHewbKs3v7YoKh5vDs+xrRZIUFxenRo0aqVatWjrvvPMUHx+vs846SzExMYUOzTSfZTbM/fHHHxo8eHCh2x8J6FZuBQUFmjlzpt58800dOHDAYy4pISFB48aNU4cOHTxu/PY+ZPWbb77RkiVLdNZZZ+n666+XRDAX/mfqzxtvvKGJEyfq6NGj1p+53W517NhRr7/+umJiYjzGJv/4xz/0zTffWM/wBg0aaOzYsercufNplyUvL08ffPCBXnrpJeXk5HjcVGkOuZ48ebJiYmJK/HOjYijNgG5xwVwzV2V/z/Hjx1sHEbPujeICuvaxy80336y0tDRt27ZN//vf/5SVlaXly5fr8OHDHnuRpONrkKZ99D60yPC+6dR8j32OSTrWL42MjFTz5s3VunVrNW3aVB07dtTChQv17bffFnlQEQHdysf+9/P5559r1qxZ1iFt9oCu9/dIx+fQTXDMHkqzO1mdsx+OGRQUpDPOOEOtW7dWw4YN1aVLF4WFhalp06Ye72neIyAggIAuyowZt3z44Yd69NFH5XQ6Pep5SkqKZs+erdDQUNq6asjtduuLL77QzJkztWrVKkmF54/se3O954/s8+z295Q85+OLmz9KSEhQ06ZNlZSUpPPPP19xcXFq3769atasWWi8bT9sISgoSKtXr9bQoUMJ6FZR33//vW6//XZrbsj7kGvvwwaL+jPza/v/m18XddBLZGSkUlNTlZCQoG7duik5OVmNGjVScnJyofKZfqr91l5u0AXKD+FcAKgCTCdu69at6tevnzIzM62O33nnnaf777+/1AK65rM+++wzPffcc9q5c2ehQYwZrMyZM0cdO3Ys8WcapsO3bNkyDR06VAEBAR5BTDZiVD32Tv7ixYv1zjvvaMWKFcrLy/OY/PaesPQ+od+47LLLdMUVV+iiiy5SWFhYqW+E/P333zVu3DitWrWq0EmHF1xwgSZNmmT9nkmjqm/Pnj165plntHDhQkmet0x419mWLVvqo48+KtXPJ6ALu7IK6Jp2dPv27brlllvYIIQiFRXQ9Z6A9jWga687EydO1IQJE6z39A79NmnSRDNnzlStWrUIP1RxJwvmet/Ak5qaqrfffrvEn+t2u7Vjxw7dfPPNVujS7XarUaNG+vDDDxUREXHC7zXlmj17tp588klJRU/Wm3Y6ODhYo0aNUlpamiTa0somOztbzz33nBwOhx555BGPjb3lFdA90WY2e0iycePGevzxx0u08RKV18kCuvbxQuvWrXXBBRdo/fr12rRpkzIzM3XgwAGPcbr91lz7xoriArv2+mxuG7WLiopSeHi4UlNTFR8fr/PPP1916tTRGWecobCwMH322Wd699139cMPPxR6b4mALjx98803+umnn6x+akFBgcdNTqbeeJ+o3r9/f5111lm68sorC72naWu//fZbPfTQQ8rMzPR4nqekpOitt95SWFhYuf6s8A97G/Phhx9q2rRp2rx5s0ddkwofYiB5tp/2trB+/fp68MEH1aFDB2vzjvd8jve4afbs2QR0q6js7Oxiw9q+BHTtY43Bgwdr8ODBVjDm4MGDysrKUkZGhn744Qft2bNHP/74ow4dOqRDhw5Z32/fzGa/RcWUwf46703Dxc2VJiQkWG3n3r17Pf7Mez2KdaHKw14HvvjiC7311lseAV3vG1BM/QkNDfUIlZ0sGOFd38xYx/tgV/PrunXrKjIyUu3bt9eZZ56pxo0bq3379nK5XIqKivL4GX777Tf94x//0L59+zzqMAHdyse0WdnZ2brjjju0evXqQsHcKVOmqHXr1sW+h30+Kj8/X+Hh4ZJKZ53FHHpEMBcl9dtvv+n2229XVlZWoXXKa6+9Vs8++6wkWYdxXH/99UpPT5d0rI5feumlmjBhQonr9N69e/Xmm29q3rx51jyUdKyNrl27tiZOnKhWrVqxTlmFFBXQlTzbr5MFdE90Y6532Hfs2LHq3bu3JNa7cdxPP/2kf/7zn8rOzvYIitv7hCNGjNDtt99ufU9WVpaOHj2q5cuXa/Pmzfrzzz+1du1aOZ1O64A3w/QHvQMUxYUnTdjRPOe95z1r1aolt9utgoIC7d+/v8j3IKBb+fga0LXXm8TERMXFxWn9+vUe72XqWlHzl/b38J5rN22m/RBO6VgQJygoSO3bt1d8fLzOPvtstWjRQnXr1lVycrLVDq9Zs0ZDhgyxDrOxvycB3cqrouyf+PXXX5WWlqa8vLxC/ybuu+8+DR061M8lRHmzzwt99tlneuuttzwCuva9bub1kgodNnyq80fm/b1v1zWfWb9+fUVHRyslJUXt2rVTw4YNlZqaKofDoRo1anj8DD///LNuv/125eTkFDt/REC38jFzLsuXL1daWprcbrfHXI2dmXc3/U77M7motXLv/UFmzt30Xw3zfg0bNlRycrJ12EZCQoLOPvvsYm8bP3r0qBYvXqwZM2bot99+k0RAFygLhHMBoApwu906fPiwrrjiCu3Zs0ehoaFyOp1Wx6m0A7rSsU0fL7/8st5//31r8GKYjuWMGTN07rnnlsrn2e3evVvXXHONtVnZdEYvvPBCvf7666X+efAPe+d+7ty5mjBhgg4ePOgxuW0fjNgH3PYTsSTPgW39+vXVpUsXPfDAA4qKiir1yaaFCxfqvvvuk3Q8jGkGU0888YRuuummUvssVHwbNmzQ3LlzNXfuXEme4THvems/zbe0ENCFXVkFdNPT09WrVy8dOHCADUIoVmncoHsqwdy6detq3rx5HguHqJpOFMz1PolcOjZZ3a5du1IJ5xo333yzfv31V+tza9asqVmzZhU6adooLphrTr82dd0+IU9At3LLzs7Wiy++qA8//FA1a9bUM888o/POO8/j76+sA7on2swmHX9uh4aG6rnnnlOPHj3K8L8I/MmX+nKigK73hp8HH3xQPXv2VHR0tLZv365ff/1Vu3bt0vfff6/c3Fxt3LhRR44csV5v30Bkn0860YnC9oVL7xP/zfs1aNBAbdu2VWJiovLz8/X5558rNze3yNOICejC++/8559/1i+//KK3335bO3futL7uPWayB8YjIiLUqVMnpaWlqVmzZoX6r3v27NHdd9+tX3/91WMTSGRkpJ544gldfvnl1L0qzv73O3PmTI0fP976M+8go71dtPdv7Qcd2A8ijIuL03XXXafrr79erVq1knTigC436FZN27Zt0/Dhw/X0008rJSWlyNf4EtA19SooKEiDBw9W79691aBBgyLfLzs7W4cOHdIvv/yijRs3atOmTfr111/lcrmUlZXl8VozVrdvgj/RLQKBgYFWO1vU/H9xc5YEdCsXXwO6RpMmTXT22WcrNjZWy5Yt0/bt25WXl+cR1jV1p6jDXL3rjX1jnLmNoqhgRP369RUTE6PzzjtPiYmJSk1NVXJysmrXrq0dO3aod+/eVptq3peAbuX00ksv6Y033vA4sCo6Olrjx4/XJZdc4tf1kvT0dA0YMEC7du0qNozGvHvVVlT98x4v+8I+/2j6emY8fscdd+iee+6RJG3evFlXXHGFpOPzlC+99JIuu+yyUpljX7lypR588EGlp6cXOqgmLS1NDz74YIneHxVPSQK6vs5lSvLYg0FbCG/eAV1Tb+y/HjZsmEaOHCnp+AEZdtnZ2crMzNSKFSuUnZ2tH3/8UVlZWdqxY4dHP9IemDR9Te+1HskzTGSfH7CvaRV365/5PhPQvf32261QL3s8Kq5TCejGxMTo3HPP1R133KGcnBz9/fff+vbbb5WVlaX09HQdOHDAel/TJzB11vtAIjt7SNy+Dul926TL5VJiYqJatWqlWrVqqXv37mrTpo22b9+ue+65R7m5uR7vS0C38snMzFR8fLzV7lSEucCnn35aM2bM8KinTqdTF1xwgZ577jlFR0f7uYQobycL6Hq3c2b+qEaNGlq+fLnS09N15MgRj7DuyeaPDPthqyebP2rUqJFq1qxpzR+lpKQoOTlZSUlJ2rJli3r37l1oj7t3H4SAbuVyooCu93jd7XarZcuW2rhxo0JCQpSXl+fxXt6XUxU3f26e2cUdQGhe17RpU6sf0bRpUzVt2lQtWrSQw+FQZGSkpGMXZE2ZMsW6Qdc75B4REaHLL7+cgC5wmgjnAkAVkpaWphUrVlgdNfvJJmUR0N28ebOGDh2q7du3FzmZPnHiRF100UWl8lmG0+lUTk6ObrzxRu3YscNjsfS8887TpEmTFBQURIewkrN36qdPn65nnnlGkjz+vosa8HqzD8a9J7Pbtm2riRMnnvB2vlNhn0w1i/nmc82fX3XVVRo7dqzCw8OZGK/i7PVhw4YNmjNnjubNmydJhequGSzfcMMNevTRR63T1UsLAV3YlXZA1+Fw6KWXXtLUqVMlHZ84IpiLopTkBl173Zk0aZJefvll6z0I5lZfvtyYa5+4lo494xITE7VgwQLVqVOnRJ/vcrnkdDp133336b//j73zDo+q2v73O5NeIKQQCBBa6L2EJigqRVAEBFF6uQKK16+ioqDXfkVFUUS5V7FcRRAVREGKitJ7DyEECDWE9N7bZOb3B7+9OWcyCSkTEmC/z8NDMuWcMzlr9t5r7fVZa/NmXQD8o48+stlN73rCXLER7ubmRm5urs1xWgl0by7S09N566232L59u+wwpi0spbUJ7Rz6/vvv8+uvv5Yq0L3rrrt49dVXqVu3bql2cL2Oudp5W1swRq0Jbz2EnURFRbF161amTJlSou2UJNC1lQT5+OOPM2PGDF1nscLCQiwWC+Hh4SQnJxMaGkpYWBjx8fGcO3fO5qahdcV/W0nH2p9L2oQU2BL6KoGuQov1OJecnMzKlSsJCQlhz549xWwTKJa84efnR/369Xnqqafo2LGjLoli586dPP7448W6sowePZr58+ff2A+ruKGUFNsUa1dtjFL4NH5+fjL27ejoSF5enu411jbo5uZG9+7dmTlzJj179gSUQPd24vLly4wdO5aUlBRWrlxJt27dSnxteQS6ooPuI488QsOGDQG9HdmaLxMSEsjKyuLQoUMkJiZy4MABYmJiSEhIKJYAp63+r00Atk5XKMmXs/W4eE4JdG8etDa5efNmli9fzqFDhwB9BxS42jGqZ8+evPnmm7IYTFxcHAcPHpRdnbOzs212MdPGDKy78lpfh/V7rPeeatWqhZOTE02aNGHw4MFERESwfv36YkXBlED35sFisZCens5TTz3FkSNHdJ3s7r//fl5++WW7iwrK6mNbLBby8vLo378/GRkZuLm5kZeXp4S5twHWNpKbmysLYHh4eODg4ICnp6dONFZa/FscLzk5mX//+9/88ccfgF7wVb9+fZ588kkeeeQR4uPjuffee+V3wWAwsGrVKjp27Gi3z/jtt9/y3nvvAdd8erPZTN++ffnyyy/l44pbB2uBri1hpLVAt7CwECcnpzLFMpUwV1EWbAl0rW3p8ccf59lnnwWQY2RJwrXs7GyMRiOnTp3i/PnznDt3joMHD5KVlUVUVJTObxHjnLawvziHLfGF+Flgq7iReNzX15f77ruPGTNmVHq/S1E5xPiTkZFB7dq1bb7GWqC7fPlyjhw5AugLFVksFjw8PLjnnnt46aWX8PX1lf56REQEsbGxREREcOTIEdLS0ggNDdX51VqbKynWDiV36Csp1t63b1/CwsJKFAcrge7NweXLlxkzZgydOnVi6dKl1S7QFTa4adMmXnzxRZ0tCxtcunQp/fv3r5brU1Qt11u7lUWgK+zF39+f3r178/rrr+Ph4cGlS5eIi4vjwIEDJCQksHfvXnJycnRjmPY42iKa1kWKAZvxI+tcZAAvLy+cnZ1p2rQpQ4YM4cSJE2zYsEH3OiXQrflo52xbdlqSQFdb5Fr8P2PGDO644w4Adu3aRWJiIqGhoSQkJEixrnYe1h5fW8TQeh4Xfr3Wv7e2STc3Nxo2bIivry+9evWiYcOGtG3blkOHDrFp0yaOHDlic92pOugqFBVHiXMVCoXiFkAsvObMmcOGDRt0QZKqEuiKcx48eJB//OMfMhBkMplwdXWlbt26fP755wQFBdnjI+rOm52dzfDhw4mJidElcgwcOJAlS5bY9XyKG4/WuVm+fLlMVtR2jxC/+/r60rVrV5o0aSIdnOzsbPbt20dSUhLp6em6qn/i+CKg2KRJEz766KNilVgrijjP+fPnee2116QDo002WrZsmUyYU9w+2BLoWgttABYvXlwlXcrKKtCdOHEiY8eOtfv5FTULewt0T58+zapVq2SHaBcXF9kdTSUIKaypSAfdigpzbVW3Vtw6XE+Yq00eB31iQ61atVi1ahXNmjWzy7UIka02WP7yyy8zadIk3evKKsx94IEHmDlzJk8++STR0dFKoHuTk5aWxpgxY4iKisLZ2VkKFl944QUee+yxYq+3t0C3NGEu6BPh/v3vfzNmzBh5fJUMeWsh7CMyMpIxY8bQvXt3KRK/3ntsddAFvf089dRTTJo0CS8vL917rcnNzeX06dMkJSWxbds2kpKSOHXqFGlpabKqsMDBwUHXZUK70a5Fm0BkXeHX+mdrge6QIUN4+eWXqVWrlrL72xztZrfRaGTlypXs3buXnTt3SpsXog0R4xHvE8/dc8893HHHHUyYMAGz2UxeXh5z5sxh27Ztuq4pQJUUNVTUDLRjyapVq3jttdeA4rHNBg0a0LRpUyZMmICvry9t27aloKCA6OhoMjIy+Omnn7hw4QKnTp0C9AUAtWvC5s2b88ILL3DnnXcWOz8oge6tSGRkJOPHjyc5ORlHR0c+/vjj63Z3rKxA1xptlx3rc4qYUEREBOHh4Vy6dIl9+/aRm5tLZGSk7rUimc1WorrAOkHIOpnYwcFBfrdeffVVWXxQUb1cuHCBI0eOSP/CmusJdLWdo1xcXLj33nuZM2dOMZvMzMykoKCAgwcPEhUVxcmTJzl58iQFBQUkJCToXmvdzVl7LVq0XSlK6o4iCmrZStjUvlYJdGs2x44dk+s27b18//33GT58eKWOXdY4TWmvW7duHXPnzgXAyckJi8WihLm3CX/88QcXLlxgy5YtZGdnk5GRgYuLCwaDgRYtWtCpUye6detGz549yxz/3rRpEwsXLiyWXwFXC1pPnz6dbt268cADD5CdnS3jTuvWraNhw4aVXhuKcT8qKorHH3+cS5cu6eZ9BwcH/vjjDwIDAyt1HkXNpKwC3SlTptCuXTuMRiOnT59m4sSJSpirsBvWAl1bnZy1At3SKCkOn5eXx6FDh0hOTmbv3r1ER0cTGxtLfHx8sWNou/ddr1AhFC9aVFLBTcWNR9jDpUuXmDBhAosXLyY4ONjma60FuqV10HVzc+Pee+/lxRdfpF69ejbPa7FYOHPmDOnp6ezevZvLly8TERFBZGSkLo4vsO7Qp70uLVrBjyjaYf2c9fuUQLfmc/nyZcaPH09SUhKArshZTSh4Pn78eI4ePSptTIxzd911F++8846yp1sMMXZeuHCB0NBQRo4cafN1ZRHoite5uroyaNAg5syZU2zcTEtLIz8/n0OHDnHp0iVOnTpFeHg4hYWF8jshuF78yFp8KeZ0bf68wN3dnZycHJvFEZRAt2YibDMlJUUW6yvtdbYEuoBurn3uueeYPn26XD8mJSXJ/fKjR48SHR3NgQMHAIoJyLX2WFL8HK6tFbWFra2LIAIEBASQn5+P0WiUtq8EugqF/VDiXIVCobgFEAuf1atX8+qrrxZb5Fe1QPeLL77gk08+wWQyUa9ePfr168fjjz9O48aNq2RRlpuby5AhQ2QAUzgsDz74IB988IFdz6WoPjZt2sTLL79MXl6e3FgUdt2jRw/uvvtuHnzwQZudb+Pi4khISOCDDz4gIiJCOi1ap1wEcQIDA3nvvffo3r273a7dbDbz3//+lyVLlkjHSDg9Dz30EG+++SaOjo7KYbnNKE2gK+zRy8uLzz//nK5du9r9/NcT6BqNRurXr8+0adOKiYkUtx72FuiePXuW5cuX8/PPP8txViUIKUqiPALdBx98UFZ7/uyzz1i8eLF8j/UYqoS5tw+lCXNFIoNYe/n7+5OXl6cTNxoMBj7//HP69etnl+vZsGEDc+bMkcc3m83cfffdfPLJJzg5ORVLpihNmDt06FAWLVoEQEhICM899xwxMTFKoHuTIu776tWrWbBgAVlZWdJOe/XqxauvvkqLFi2Kvc9eAt3yCHNVMtutjVaYO2HCBJKSkujTpw/ffPPNde93aR10rTePn3rqKaZMmUKtWrVKPI4toqOjSU5O5syZM4SEhJCUlMTRo0cxmUyyarDAOoHIOlmttI5otjbO3dzc6NWrF4sWLcLV1bWcf1lFTcSeIuu0tDTOnj3L559/zuXLl3XdT2zFmMRz99xzD/fddx/3338/O3fu5KmnngKuCcmNRiP/+Mc/eO6559SYewuzY8cOXn31VRISEmSxATFe3nPPPUycOJEuXbrg4eFh8/1FRUVcvnyZH374QfpOcC2+qRWKN2vWjOeee46BAwfaPJbWzv773/+yYsUKJdC9Sbl48SKTJ08mMTFRFkebOnUq8+bNK3O3CbCPQLckbCV0FhQUkJ+fz9GjR0lNTeXgwYNcvHiRuLg4YmNjda/VJqiVlqguxmLhSw0fPpz333+/XNeqqBqioqIYNWoUHTp0KHW9WR6BrpubG/3792fevHnUr19frgdFEqSWjIwM0tLSOHbsGCkpKezevZuEhAQuXbqkS07XdjrRFoQpTRhhqxis9n9AF98CJdCtyaxZs4Z//etfuvHG39+fH374gYCAgHKtK22NUQaDgcjISBITE8nPzycvL4+6devi5uZGUFBQiWO2tWhj9uzZuudV3P3WJCMjg71797J27Vq2b9+uS97W5nqIx319fWnZsiVPPfUUQUFBeHt72zyu1p7mz5/P8uXL5fwJ14oNde/encGDB7No0SLy8vIwGAx4eHiwefNmfHx87PpZZ8yYwa5du+RnEeLzX375hVatWtn1XIqaQ1kEug888ADPP/88WVlZjB8/XsUyFXbHlkDXOr5ZVoGulpJEbRaLhStXrnD58mViYmLYtWsXKSkphISEFMvp0xYtElgXELHlBz3wwAN8+OGHFflzKOyANu4+adIkEhISWLNmTakNIsoj0HV3d+eee+5h7ty5+Pv7S1srbZ2amZlJVFQUV65cYe/evaSmpnLs2DHy8vLIyMjQvfZ6NiewFWu39Xm0ftBjjz3G5MmTbQqLFTeeyMhIRo8eLefWoqIizGZzjRDoivP++uuvzJ8/n5ycHJ2v7e/vz0cffURwcHCNEBErKo8YO6OionjooYfo0qULX3311XXjR2UR6Lq7u3Pvvfcyb948/Pz8So0fpaSkkJ6ezpEjR2RhjYSEBKKiomzO0/aIH1l/Hus1yOTJk5VAtxrRzuvPP/888+fPp3Xr1td9vbVAV9xT7byoLXJty9YTEhLIzs6Wdnj8+HEuX75MRkYGWVlZ8nVij1Ecw7rYRkn2qH1ezPfaOd96vQlKoKtQVAQlzlUoFIpbiIMHDzJ58uRij2sXZPYW6MLVCuivvfYaOTk5jBkzhqFDh+Ln52fXZDi4tgAMCQlhypQpMhFULGLnzZsnF7mq08nNzYkTJ3j77bc5fvy4rroUXK3c9swzz9CgQQMZMLIWYgiysrJYt24dGzdulMFMrW0I26lTpw4ff/wxvXv3rvS1C/srKChg4sSJhIaG6hzyoKAgVq9ejbu7e6XPpbj5sCXQFQm8ItgZHBzMq6++WqpzX1FKEug6OTnJrhbffPMNffr0sfu5FTWP5ORkfvvtt+sKdF977TVZbbe0QMu5c+f49ttv+fnnn3nuueeYOXPmdd+juH0pq0BXVIj85ptv+Oijj0p8rRLm3j6UR5gbHBzMhx9+yIwZM4iIiACuBZNfeuklpkyZYpdrEmK3tLQ0mczRpUsXfvzxR6DsHXO1wtzCwkKcnJw4ceIEzzzzTKkC3RdeeEF+FuUL1UzOnTvHK6+8QkhIiC6h7JVXXmHixIk231MZga62eIG1MNeWoFIls93aiHt6+fJlxo0bR3JyMgB+fn6sX7++xAReW8coawfdkgS6WsTYV1IyUVRUFLm5uezatYvo6GiOHz/OxYsXZTdSW4nK2grAtoS42nNrE/AefvhhOTYrbi7KO++VdYyz3sBOT08nMTGRr7/+mkOHDnHlyhWgeCdTbWfcWrVq0apVK15//XXeeecd9u/fr+tQ5enpyerVq2nWrFkFPrmiphMXF8cHH3zAH3/8Uazj4ogRI3jppZeoU6cOYNsurR9btWoVa9asISwsTLce1K5969evzy+//IK3t7fN74XqoHvzk5WVxbBhw4iLi9PNY8OGDWPhwoVlOsaNEuhqz2XLxsVz8fHxnD9/npiYGHbu3ElycjLh4eHk5+fLxCJtsppWmCQetxbmqvVs9aLt7NytWze+++67UmM0lRHoWic5lmRvQgR05swZLly4QEREBAcOHCArK4tz587pxmixl2qrG0VJSeq20m2sBboPP/wwc+fOve4aWXFjefvtt1mxYoXuPgYFBfHLL7/g4uJS5uNo7a6goICwsDDWrVtHWFgYUVFROhGEsK3OnTvTqFEjHn30URo1akT9+vV1x9R+N/7880+eeeYZAObOncu0adOKnVdxcxMXF8f7779PSEiIrrMt6EUy2r1E4f/WrVuXe+65h3HjxtG2bVubx9fayvTp09m9e7fOFxfryz59+nD06FEKCgrk86tWraJ9+/Z2iTmK6/7444/5/PPPdWOuyWTiP//5DwMGDKjUORQ1m7IIdPv378/BgwfJzc1VwlxFlWDPDrqlUZofdO7cOVJSUjh48CARERFcuXKFiIgInJycrluoUPhuyg+qfkqKu4vcxdLuSWUEuiUdV8yztp6Pjo6moKCAI0eOcP78ec6ePcuJEycoLCwkJydH99rSOkZaF6MRaAVAzs7OFBQUAPDhhx/ywAMPlP2PqqgSLBYLn3zyCZ999hkuLi7y/ojnaoJAF+DSpUv84x//0O2Ji2vq3bs33377bbVcl8K+aMWPIn7Us2dPli1bVqq/URmBrnZc1AoarcfKvLw8HBwcOH36tBwr9+/fT3Z2NpcuXdIJIUuLH9nCVrENW4UNxo8fz3PPPYenp2eF/r6KiqOd18eOHUtKSgo//PDDdRvslNZB1zo++PTTTzNp0iQZHyyt6EZ+fj45OTnExsYSEhJCfHw8u3btIj09nejoaN1rRXxAjN9awS7YFt6K36/3Ok9PTwYNGsRLL71E7dq1r/+HVChuc1S2qkKhUNwimM1m6tevj5eXF5mZmTLJG64umrRBmD179gDYTaDbqlUrZs+ejbu7Oy1btsTNza1KksLF8cLCwmSgQNtxQAjZVDL6zYtwVvbv38+ZM2cA/T0ePnw477zzji6ZQzgV1sEhkeg4evRoevfuzaJFi/j77791rxG2kpaWZrdAtdjEdHZ25qmnnmLu3LmkpqZKZ+v8+fMsX76cxx9/3C7nU9xctGjRggkTJgDwww8/6ILawjEOCwvjv//9L08//TRBQUF2Pb+bmxt33303gBToOjs7S2Hup59+qoS5txG+vr6MGDECoJhAV1ROy83N5a233gLgoYceKjFICVfte+LEiQwdOpS+ffsCaiNQUTJOTk688MILAHz33XdyPDSZTDJ5PSMjgy+//JJ9+/bJ9asS5t7elCbMNZlMuqIunTt35ssvv8TNzU0m8GirmQohgj3w8fGRokeRJBcREcH58+dp0qSJtMmyCnNNJhNOTk4AdOzYkcWLFxcT6Gorri5cuJDs7GyefPJJ5QvVUFq0aMHYsWMJCQmRwuvCwkIWLlxIp06d6NSpU7H3aKvlv/jiiwBSoKtNwjEYDOTl5bFz507+/e9/88orr+Dv7w/A6dOnmThxok6YCyqZ7XZDW306OztbdqSBq8V7yiLOFeNNcHAwy5YtY8qUKTpb1s7jS5YsAbiuQFeM3+Jn0CclBQYGAsiuOQUFBSQnJ3P58mUOHz5MYmIi+/fvJz8/X3bc09q4deVqcXzQdx0aPny4HJtVgYObC21xtMLCQvbt20daWhpRUVFkZmZiNBrx9/endu3atGzZktatW5c5oUHYgfjfy8sLLy8v3n33XY4fP87Ro0f56quvyMnJITc3V9q/WIuYzWays7M5cuQIEydOpFatWrrkekdHR7Kysvjxxx95/vnncXJyUrZ3iyDm0lOnTrFt2zZdsQ2AwYMH8/bbb8u1HmBz7rVOFnrkkUfw8fHhX//6F+np6cC1QgNirfvWW2+V2tVM68//85//BJACXe0awGg0EhYWxoIFC3juuefo0aOHWh/UEETCrHVH2XPnzukSyktDm/x199138+677xYT6GoF5V9//TVAhQS6YlwrreNFvXr1ZBedhx9+GLha2CYpKYmQkBBOnz5NXFwcp06dAq7N9dokIpWQXnO4fPkyEyZMIDk5GWdnZ5KTk8nLyyt1/tXa5ODBg+Xjhw4d0u1rGgwGcnNz2bFjBwaDgblz5+oEuqXZm6OjI0ajkTZt2tC2bVuZHJ6Xl8exY8dIT09n3759squZdYcUcZ3a2IN2jWn9OQD5vPguZWdnK2FuDUTsi2gLXLu7u5drXaaNVf35559s376dX3/9VT4vYkIODg4ysdxsNhMaGsqxY8fYvXs3/v7+PPvss/Tq1Qs3Nzf5XmFT9913H++//z6xsbFKmHsLEhUVxezZszl58iRwrQCLNilWa5NiTBR+RWJiIr///jseHh40btwYDw+PYucQ8VJHR0fee+89nnzySUJDQ2USsIhB7du3T/d6gKNHj9K+fXu7+CviuyLE6OIzinWMdQKx4tZj8ODBLFy4sJhAVxtX2rFjB6CPX6pYpsKe9OzZk48//riYQFdrh0uXLgWolEDXljBXEBQURIsWLejZsydwdV168eJFUlJS2LNnDykpKbKLn/ADtYWKioqKGDFiBAsWLJDPqe/CjUXs0YnivcnJyTJWLkS6pd0Trf8wZMgQ+fjRo0eL+UE5OTls27YNoFSBrphnrQsYAdKf1xYJTEpKIiUlhb179xIfH8/+/ftJTU0lNTVVjs3ieOLzivWs9WfRXoO28YYS5tYMDAaD3AfSCnPFc5s2bQJg4cKFxQReN5KmTZvy1FNP8fLLL8s9d1GUNTQ0lLVr1zJy5Mgbfl0K+6EVP2rjR0lJSeTk5Nj0ZQTacXPo0KHy8WPHjtkcN7du3QpQTKCrjYFb4+TkhIODAx07dqRjx47AVV9FxI9SU1PZv38/ly9fJjo6mpiYmBLjR9rYra34kcA6fpSWlqaEudWAtWhcrBGtO87bQsSUevXqxbJly5g6dapuD10ba//kk0+wWCxMnjyZWrVqFdsnh2vzt5OTE97e3nh7e9OuXTsAnnzySQAOHz4sC1ufPHmS7OxsoqKidEJxrYDc1txtS1CuvQ6R95SVlcWvv/5K165dpR+mUChKRmWsKhQKxS2C0WikcePGNG/eXFYFAn2Co7byj70EumIxaN1xtKoSyi5fvsyGDRsAfUJ7x44dadGiRZWcU3HjEA74119/LatRCeegb9++zJ07V97369mY2Dh0dXXF39+fmJgY4JpDoa20+uWXX9KzZ0+7JeIKxykoKIhGjRqRmpqqq9IlOrcpbk9KE+gajUby8vLYvXs3Tk5OPPnkkzRv3tyu59cKdL/88kvCw8OBq+LMgQMHAiop/XbCx8fHrgLdNm3ayJ/VRqDiepRFoJuenm5TmCuS0JUw9/ahPMLcLl268N133+Hs7IzZbKZJkyZcvHgRuLYW3LNnDzNnzsTNza1SY1VRURG1atWiZcuWxMbGyo1pUcVSFNr4/vvvyyzMtbbjjh078sknn/DMM88QHR1dTHRWWFhIVFRUhT+DomoR66qRI0dy6NAh1qxZQ2FhIY6OjhQUFPDzzz/TpEkTvLy8ir23IgLdt99+m8WLFxMTE2NTmKtNjlDJbLcHFouFX3/9lezsbNzc3GTX2aSkJE6dOkWDBg3KdJyqEOhaU1qnRwcHBwICAggICKBXr14ApKSkYLFYOHbsGFFRUZw8eZITJ06QmZlJSkqKbrNRjM9OTk4yIV6JeW4+tL5qXl4e58+f58svvyQqKkr6trZwc3OjXr163HPPPdx5553ccccd8rmy3nvxus6dO9O5c2fuuOMOTpw4wffffy8LzIlkITE+Ozg4kJGRIQspimsXtikSR5ydnZUffotgNBpJT0/n448/JicnR5dE3rFjR55++mlZJKE89zs7O5tvvvmG9PR0mTihjW1+8cUX3HXXXdc9blkEuiLx4/jx4/zyyy8yWVhR/fj7+9O4cWPi4uJ0CTRXrlwhLS0NX1/fMh3nRgp0S8JWt2jxeIsWLWjRooXcc8rPzycyMpKMjAx27txJfHw8R48eJSoqisGDB6u5vIag7Xji5OREQUEBkZGRXLp0iQ4dOpT63vIKdLdv3w5QTKBbEuI57Tzs4OCAq6urLFQpEuITEhKIjo7mypUr7N69m6SkJI4ePSrXu6BPnBTXJZKGxfPaYjAjR47kvffek8+p+b760RZ5Ab0Y0mw2Yzaby5SQLtZ+cLXw6Q8//EBqaiqA9MPFuk/4INpuP0ajkbS0NFJTU3niiSeYOHEiQ4YMITg4WGdTBoOB4cOH686rxrtbg6ioKCZNmkRcXJxO+CIKV4u4kLbQlHZcFD83b96cIUOGlJrMLuKRfn5+zJ07lzfeeIOzZ8/qYktwLadEnOP48eNyT7OydidsV3wvxHdBxPrL07FacfMyePBgPvzwQ55//nmdQFcIGOBa8wGtUAFULFNhP26UQFeLtdgB9OtS0f1cFMBOSkoiNzeX8PBwQkNDiYyM5PDhw2RlZTFw4EAlzK0BpKen8+ijj5KWliZjznDVN4Lr35uqEOhaH98arcDbz88PPz8/WRwzOzub/Px8zpw5w7lz54iMjOTQoUNkZWURHR0t1wig764r1rjielXcvWbSpUsXWdBa5FsIapJAVxQ0PnHihIxjin33PXv2SHGu8q1vTqw75or40YULF4iKitLlm9nCXgLdkrC2eXFMDw8P+vXrB8CwYcMwGAzEx8dLke6uXbtITk6WRbrF2lXr74jr0iLGTrH2VfGj6kH44ZcuXWLSpEkkJyfj6upKXl4eJ06coH///mWKPZrNZnr27Mm3335bTKCrXWN++umnAFKga01JBQjFnpDRaJTrxUceeYSCggLS0tI4efIkKSkp7Nq1i8TERCIiIsjMzNTliIgcIxFz0vpf4n9ht8I24ardK2GuQlE2VNaqQqFQ3CIIZ1RUx9dWbtb+rO2wZA+B7o12Ao4cOcK5c+eAa5UBLRYL3bp1o27dujf0WhT2RQTx1qxZQ1pamk504OPjw6hRo2Qlt7LYnaj8k5mZyYwZMwgPD5fH1HaV+OKLL7jzzjuLORn2oGHDhjz22GPMnj1bbqICbNq0iQkTJtCtWze7nEdx83E9gW52drYMrleVQPeee+6hqKiI//znP/zf//2fEuZWE9q/d3VtTPj4+MjkHnsIdAVqk0VRFq4n0AX9JrUS5t6eVFSYKwLeIjFNW5k0PT1dimcqg7iuDh06sHPnTrkGNZlMnD17ln79+rFs2TLeffddoPzCXEGHDh1kB93o6GicnZ0xmUyYzWZGjBghj6/m8ZqH9n7cc8897Nu3j9jYWGkDu3fv5uGHH6ZTp042N7vLK9DdtWsXjz32GMePH5ddUoXvo5LZbk8MBgMBAQHAVTGjtgJuZmZmuY5VmkBXW1xDK9CdPHkytWvXrvD1C9sU3w3tOCdiYMKXgasCnrS0NA4cOEBiYiI7d+4kJSWF2NhYsrKy5PdBu8mtvgM3B9r7dODAAf7++29+/fVXsrKygGtVnEWCmTapvbCwkEuXLvHtt9/yzTffMH78eO644w4GDhwok8Ovl2xk3XWidevWtG7dmuHDh/PLL79w6NAhNm7cKMd3bWdLcX3if/EvNDSUL774gmeeeUbN37cAwjYiIyNJTk7WzeEmk4ng4GDZFbyssU1RmXz69OmEhITIRB7r2KYQ5mrfVxKlCXRF0kVhYSGdOnXizTffVLZZQxD3zN3dHUDXMc9gMJCZmVlmca54f3kEul999RVgX4GuFls2Kz6zi4uLTBYODg4GICMjg+zsbLnGUXN59fPbb7/JxEptbCcvL69M769qga4WW3O+eH/dunXx9/ena9euPPjgg8DVosFpaWkcOnSIc+fOERUVxenTpzGbzbKTmUBbXNZisTB8+HC15qyBiLnN2dkZQCd+TExMJCcnp9Ru9OI9wpbeeustVq5cKZ8TMSoRW7eFNglSfF9WrFjBmTNnePjhhxkxYoScs63nYmVHtwYxMTFMnz6duLg46TtoY50AgYGBeHp6YjQaSU1NJSMjg/T0dPnaoqIi/P39mT17Np07d77uOYUtdezYkVmzZrF48WIiIyNLnIctFgt//fUXp06don379naLOyYlJQH6BGBXV1ddNz/Frc2gQYOKCXTFWKztFq3t4vzvf/+bMWPGAGpOVdiH6hDoWmNrXSq+B97e3vj5+REYGMh9990HXB0/MzIyZO6I+i5UHwaDAS8vL7y8vHQxZ4Dz58+TnZ1datEM7XGqUqBr63ygj7WLx93c3PDw8KBPnz6yiFFOTg5FRUUcOnSIhIQE9u7dS2RkJElJSSQnJ0sxLlxbU6uuzjWTevXq4ebmRm5urs3na4pAt0WLFtx1112EhoZK2xfx+/Xr19O9e3fGjh2r4pU3MWvWrNF1Gxfzb0XiR1Uh0NVS2jzt7+9PvXr16NGjhxSNX7x4kZSUFI4cOUJERATR0dGcPn0aoNh3z8nJSV5nUVGRih9VIwaDgYyMDKZPn05iYiKOjo7k5+cDV2OCULY4TGkCXdGRvqwC3ZKuUyumFbbj7OyMv78//v7+AIwYMQJHR0ciIyOJjo7mzJkzHDx4kJSUFE6ePImDg4P8fGIdIPadtJ9F7HWqghsKRflQmasKhUJxiyAS0vv06cPWrVt1ldMbN25Mbm4u8fHxcoFk7w66ZUGbMOzk5FRuRz4sLIyPPvqomGioffv2TJs2TXcOxc2HWLiHhYUByM1Hs9lMvXr16NevX5kX99rktRkzZpQ5eU27Ua6t8lcZp6Jv377cfffd7NixQya4OTo6EhMTQ7du3ZTN3qRYV5G2Vd3seve1rAJdg8HArFmz7C7QdXV1ZcCAAfTo0YN69eqV+boV9kGMLYWFhTIJSIw1Ym68kffD19eX4cOHY7FY+M9//mM3ga5CURZKE+gKtN0BrIW5ImFYcWtSUWGuVujavn17Nm7cqKsGGRUVxbFjx+jTp0+lxlsxDorOk+IcAOfOnWPVqlWVFuYKhED32WeflZ1yhw8frja5byIGDhzIH3/8wYYNG6Qdx8TE8OGHH7Js2bIS5//yCHRzc3PZt2+frvMIKGHu7Y4QrmjHwaKiIi5cuACUzw+4ER10S+N6Ff9dXFyoV6+eLD4zZcoUzGYzZ86c4cqVK1y4cIGsrCzmzp0LqO/AzYL2Pv3yyy8sXbqUmJgYXfKGeB1c6/YESNvQrh9WrlzJ9u3b2bdvH6+++mq5koy0Nig2vseOHcvYsWMZOHAge/fuZdOmTWRnZ8vXi++NFtFBPS4uTtnhLYKwjb///pukpCT5u8lkwtvbmwkTJpS5G1hpwlzhE4FtYa6w59DQUBo0aICfn1+x49sS6K5cuZL09HQKCwvp2LEjy5cvx8XFRRVCqmG0b9+e7du3y3toNpvJzMwkNDSUpk2blmtOrwkddEvD1rgortfT01MW/1BjaM2gUaNGAMXmu7CwMIKDg8t0n26kQNca6+662iT1wMBAGjduTKdOnQAoKCggOjqa9PR02V334MGDUiwhGDZsmEpeq+EIH0XbFUQU+ylNnKudb+fPny+FuSLuox07rb8T4nyA9Mu0QkshfMjJyWHcuHEqBn+LkpKSwptvvklkZGQxYa6Xlxf3338/ffv2pW/fvri5uQFXx54zZ86wceNGNm/eTExMDACvvPKKFNCUdR3g7OzMnXfeSWpqKl9//TUxMTG62JK2Q3h+fj7vv/8+H3zwgUz2rSjCjoU4VzxmMplwcXHBycmpUsdX3FzYEuhqu9Rrefzxx6UwV/knipKoyD5PSQJd7Vy+dOlSDAYDs2fPrpoLt8JaPCnWAWazWXY61T6uqB7EGs/T01PuVQobFIUCy8qNFuhan1tgXZjQbDbLAmH33nsvAGPHjgWuipXOnDlDTEwMe/bsITMzk2PHjqk9yxqK2WzGw8ODRo0akZKSIu3VmuoW6Arbe+qppzh27JjMaRbrUpPJxHfffUe7du2kf664+RDFK627dp44cYIuXbqUO35U1QJda0qLHzVt2pRmzZrRvXt34Gox4aioKNLS0mT86PDhwyQmJsr9I1Dxo5pAenq6LMCnLbobGxsLlP2+2LODbmlYrxetrwGufteaNGnCHXfcIbUVYWFhZGZmsmfPHqKjozl//jyXLl2iqKiomDhXCXMVioqhohUKhUJxi+Hj4yM3/kTS2R133IGTkxOrV68mJyen2gS6BoOBlJQUfv31VwoKCpg2bRqurq7y+dLEbmFhYfzf//2frE4jxEK1atVi0KBB1KlTR55DcXNisVg4c+YMR44c0XURcXBwYNSoUXh5eZVpkW+P5LXVq1dz5coVZs2apbPRilCrVi06d+4sE0UMBgP5+fn89NNPDBw4sNLHV9wYrG1PjDWFhYXk5eXh4uJCUVGR3CQvayfUsgh0RZCoKgS6bm5u8pq1162oWoRdXLp0iRkzZtCyZUuaNm1Khw4d6NixIx4eHvj4+Ni8H1UZ/Pb19WXEiBEYDAZdB12xGa4V6FosFkaNGqWSgxR2ozSBrnZzqKioiNq1a/PJJ59IYe6NrtiquHGUJswVc+X1hLlwtVgRIMczEVg+f/48ffr0qdT8J8a/3r174+npqavqumnTJtasWQNUXpgr6NChA4sWLWLChAn069dPBcNvIsQ9evnllwkPD+fChQs4ODjg4ODAkSNHWLFiBRMnTizRHssj0AVkEgig656rhLm3J61bt5ZV/LWixYiIiAolrlWkg649BbrWlLYJaTAYcHZ2pmPHjnTs2FH3nPoO3Bxo79O3334rq4eDXnAuOjsJtEkR4nmt8CE2Npbvv/+eS5cuMXfuXJo3b17uBF/rjs5Dhw5l4MCBTJ06la+//prw8HDZWU8kEYnPU1BQQLt27XjjjTeUHd4iCDu4cuUKgEwCslgsBAUF4ePjUyb/xR6xzWXLlvH333/zyCOP8OCDD9o8r7VA12g0snjxYjp06MCKFSuUMLeGIcYJIYAURQkEaWlpQPljezVdoGvrekEv3FVjaM0gKCgINzc38vLypN0AXLp0CSj7fapOga71dVj/LI7t5OQkuzt26dIFgMzMTPLy8jh58iRhYWEUFhbKDmtqzVlz6datG9999x2ALHiQnp7Oli1bSt2LEffziy++YPny5QByvtQWjWnQoAGBgYEy+TgmJobs7GzCw8MpLCyU46tIghRzc2RkJF999RWOjo6MGTOmmL+vuLkxmUz89ttvhISEAOiEuX5+fsyfP59u3brp/OeCggKdXztw4EC2bdtG69atGTBgAFB+UVqtWrW4//77ycvLY/ny5cTFxRUT6Ap7Pnv2LD///DMTJ06UxTEqysmTJ+W+p7bzzwMPPED9+vUrdWzFzUdJHXS1jQgA2eWpXbt2yj+5hbEex1JSUgA4c+YMCQkJFBQUyA6l3t7eNGzYEEdHR9q3b4+Tk5Mshm3rWKVRlg66n3/+OcANE+hqEesO6/WkWl9WL6KwS7t27Th58qQsumKxWIiOjubcuXMEBweX+XjVKdC1dS1g28bE96Jx48Zy73X8+PE4ODgQHh5Ohw4dAOUD1TSMRiOenp60bt2a0NBQuV9tK0e3OgW6QhQuvgdCRKZdl0ZHR0t/zdPTs8qvSWF/goKCcHZ2prCwUHdvy9OhFKpXoGt9HdY/i/O7uLjQokULADknpKenk5ubS1hYGGFhYVgsFhU/qgEEBgYSFBQkY+xinDxz5gzJycmlFnCz5kYJdEs7v/Z/7Rgu5mlR4CstLY3k5GSio6PZu3cvCQkJHDhwgOTkZAYMGKBykRSKCqAiFgqFQnGL0aZNG3x9fUlPT5cV/VJTU/nwww+Bq8m7GRkZ1SLQzc7OZv369Xz77bckJiaybds2nn32WZo2bUpAQIBNZ+Xs2bMcPnyY//73vzphrtik6tChA6NGjdIFWhU3J0K8nZeXJwMuAtGJrKqEuXAtofKTTz5h7dq1mEwmOnfuzL333lthB0MEASZMmMDmzZs5deqUPFZycjI5OTlKnHuTIO5/dHQ0Fy5c4PDhw5w5c4bs7GzS09NxdHTE2dmZli1b4u/vT//+/WnatKluk7qkTaDqFugqbixiDIiMjGTSpEkkJiYSGxsr77Gbmxve3t706NEDPz8/+vXrh4+PDw0bNsTT07NY0FsEhOwVBBECXUAn0LXuoPvvf/8bQAl0FXZFCHQNBgPLli3TjYfaOdtsNnP8+HF8fHzkGkFx62GPjrkCf39/KS4Q60KTycT+/fuZOHFipTcVLRYLLi4uumuzWCxSqCt+r6wwV9ChQwc2btyo60ykxuCaj7CD2rVrM3LkSD7//HNyc3Pl+LZ7924eeOABvL29S1w3lkWgKzYaxXGNRqP0g9544w0lzL1NMRgMugRHYSPayszlpSIC3cmTJ1c6kbe8lDa+q+9AzUfr62iFueK+isQN0TXZ2dmZxo0bk5ubi4ODA5GRkRQUFOgqXYsxVvzbs2cP//rXv3jiiSfo06eP7AhRHrRjtoODA0FBQbz22mukp6ezfPly9u7dS3h4uG7TvWPHjkoAeQuSkZHByZMnAXSC8ebNm5fJtioa2xTrZLjawW/t2rVkZmaSmJjIwIEDdYXZtGj9+VmzZuHn58eIESNKXFcrqg8xdgUEBADX1oVi/ImIiAAqtsYrr0D3q6++AqpPoKuomYh9Du08C+XvMAEVF+jOmzePevXqVZmvY90dBa59Xnd3d2rVqsXdd9/N3XffLZ9XflfNxsvLSxa10vpJFy5cAEoX9uzevVsWZBNzsDjW3XffTd++fRk+fDgeHh7F5tNt27YRHh7Op59+qiuMKda+ZrOZ6OhoVq5cibe3NwMHDlTC3FuI7OxsNm/eTHp6ui7W6evry5dffknbtm2LvUfkQYgxMDg4mE6dOsnHKyre9vb2ZuTIkRQUFPDTTz9Jga4WsX+/bt066taty9ChQ/H09KzQOc1mM0eOHCE7O1tX+ACQSeuK249BgwaxcOFC5syZU6yDrhiXV69eTW5uLtOmTaN9+/bVfMUKe2O9Xtq8eTORkZGsXbuW3Nxc2Sm8JNq0aYO3tzcjRoygUaNGBAcHFxPHXI+yCnS1AhrF7Y2wK+ETi71sUTS1InH3miTQLQnrda0oRmgwGJQwtwYj7omvry9wLR4osF7TVadAV9jOgAED+Pnnnzl+/LguVzg/P58ff/yRHj160K9fP1XI/SbE3d1dN95pfWCoePyoOgW61tiySXGdnp6eeHl5Ub9+fQYOHCifV2Nn9ePu7q7LsxD7MoWFhRUucl1dAl0ttuxR2Fvt2rWpU6cOQUFB3HXXXQAkJyeTm5urcpEUigqidlUVCoXiFqN+/fq4u7uTnJyM0WjEYDBw+vRpLBYLzz//PGazWSbn3EiBbmFhIfv27WP16tVSZBsaGsrs2bMJDAxk8ODBNGzYkKZNm2IwGDh79ixRUVH8/vvvxMTEkJubW0yY26BBA9544w38/f3tdp2K6kE4oAkJCcC1zk4ODg64ublRt25d3etsUZnkNYD8/Hxef/111q5dK4+5a9cu7r333go7GOLYLi4utG3bllOnTkn7vXDhArt27ZIiOEXNQ9vNJjU1lW+++Ya9e/dy9uxZnUhMi6h0vXLlSry8vJgxYwbt27enTZs2pY6pSqB7eyBs6vLly4wfP57k5GScnJx03e5zc3PJzc1l3bp1ACxfvhyDwUDLli1p2LAhzZs3p2fPnvj4+Mi52jrJvLKBER8fHyXQVVQbTk5OzJkzB0An0BXJGA4ODmRlZbF48WKys7MZOXKkWgvegthTmAtXxaxNmjSRCetCyHPixAnS09Px8vKq9DXXrVuXrl27sn379mJFh0QA3x7CXIEKht+cCIHkgAEDWLVqFVeuXJG+z/bt21m7di3Tpk0rdd1YVoGuQPz8wgsvMHbsWPm7spvbB7PZjLe3Ny1atJCxIm3n3CtXrtCwYcMK2URpAl3rzcUb0UFXceshxsPVq1dLYa7oRi/m8+bNm9OiRQumT5+Oh4cHgYGBMqYUFhZGVFQUX331FfHx8WRlZenmZpH8ceLECT7++GMyMzMZOHBgparui++Sq6srrq6uzJkzh6ioKI4dO8ZXX31FREQEzZs3V8LcWxDRqVv4Ltr5WGDv2Kb2WPHx8cyfP5/NmzfLNUd8fDy7d+9m0KBBJa4bRXcXBwcHxowZAyDXGoqag7jXrVu3pk6dOmRlZQHX7OzixYuV8g1utg66ippHs2bNaNy4MefPn5cxRIvFQnh4OBkZGeVe/9VUga6t64RriW7WY7Pyu2o23bp1o2/fvuzdu1d339atW8cjjzxC165di71H2NaePXuIiooCkCIMgMcee4zHHnsMb29v3eOiM6+joyP33HMP99xzDz169ODLL7/k2LFjZGVlFRPonjp1ivXr1xMUFCS7NStufpYvX87Ro0elL2IymfD09OS1116jbdu2pa4XtUm12sLllcnp8PX15ZFHHsHBwYEff/yRmJgYmWOiHUsjIyP55ptvKCgoYOjQofj4+JR5rBWfKSwsjC+++IK8vDw5jlssFnr27MnEiRMr/BkUNz+DBw+2KdAV46bJZGLDhg0YDAamTp2qBLq3GEajkaSkJDZs2MCOHTvYt2+frvikGC+Efyx8ZPHz6dOnATh8+DBFRUWMHTuWLl26MGzYsHIJtkoS6Gr9oKVLlwIoga5CIrq+i/Wb2Me8ePEi/fv3L3cxi5tBoGt9vdYoH6jmIe5Jnz59+Pbbb2WMUet7aEWSUL0CXbPZjI+PD6+//jpTpkwhMzNTNxekp6fzr3/9i1WrVt1Q/19hH5o3b07jxo25ePEiRUVF0ic4deoUWVlZeHh4lOt4NVWga+s64ZpPZ31eZcPVh7gXTZs2ZceOHbqxMCsri7CwMOrXr1/uOb0mCXRtXZv2f+1n8/Hx0RXTUrapUJQPtbOqUCgUtxBFRUW4u7sTGBhIVFQUBoOBoqIiLl68SFhYGJ07d2bu3LkYDIZiybtVLdA9e/YsS5cu5dy5c7qgVHp6Ounp6YSFhQHXqmuLLlMCbSV4k8mEj48PX375JU2aNLHL9SmqF2FnaWlpwLWqgiaTiYKCAl3wxxaVFeZeuXKFl156iUOHDunEHps3b2bixIkEBQVV6vO5uLgwYcIE1q9fT2FhoXSsRNX4ilY0VlQdIkCTkpLCTz/9xLZt2wgNDZXJEdquU3DNBsVmdWZmJqmpqfz73/+mSZMmjB07lnHjxsnj27rnSqB7ayMC29bCXFFhTSQ5asW2cNW2TCYT4eHhcq784osvMBgMdOzYEV9fX/r27Uvjxo1p3LgxgYGBNsXjwqbLOt6UJNDVVvJXAl1FVVGSQFcE5x0dHcnIyJDdepRA99aiNGGumBPLI8wVY2vdunWJiIjQbd5lZGQQHh5Onz59Kp3IDkg7FMcSY7+9hbla1Jh7cxIUFMScOXOYPXu2bhPm66+/pmPHjgQHB5f6/rIIdEUyvPj+nDlzhsTEROrWrWtTLKS4dRHjhCh6JTa6DQYDeXl5cmytzPFLE+ja6qCrBLqK8rBnzx6Z/GjdMffee+9l+vTptG7dWpe0IRLVg4ODCQ4OpmfPnmzZsoW1a9cSHh5eTEBjNBo5e/YsX3/9NVlZWYwYMcIuNirG5MDAQAIDA+nRowfnz5+nZ8+eqjPpLYjFYiEzM1OKJoV/bzabcXJyko/ZoqKxTUFaWhpz5szh0KFDOgG7yWTi4MGDDBo0qNSx3jqxTnWcqJlo93JMJpO0JyFOLCgokPsrFUF10FVUBicnJ9zc3KRtWiwW6bdo7bU8VFSgO3fuXOrXr18tcUq1z3Nz4eDgQNOmTdmzZ4/0a0QMcuPGjbRq1apYYrDRaOT06dOsXLlSzvFinn7yySd5+umnda8Xaz0xfmvp2bMnvr6+/PDDD2zatImUlBQ53orvz59//knnzp1p1qyZ2ku8ybFYLOTk5HDs2DHpg4j72bt3b7p06QLYdxwpq834+vry8MMP4+bmxvLly7l8+TIODg7F9nwuXLjA119/zZkzZ5gxYwaBgYHyGNZiDe37RDH5Z555hqSkJF0xWB8fH+6//37dmK+4PSlJoKtNWl+/fj2AEujeQiQkJHDs2DEWLlxIfHw8BQUF0pcWhaRELFPMt3CtW73WJxJi3ZUrV7J69WpWr17Nc889R5MmTfDx8SnTGFOWDrpKoKvQ0qZNG9zc3CgoKNAVEzxz5gxQsXn9ZhPoKm4evLy8ZA6mGGvbt29P7dq12bNnT7ECwNUl0BU+UZs2bZg2bRqff/65nB9EXCo+Pp6XX36ZDz74oMxjvKJm4OzsLPdGtPEjse6r7LhZVoGuwWBg7ty5N1Sgq0WN0zUHcS9atWoFIHMsxJwu8rsrYpvXE+hqY+03WqCrxbr5gPb6FQpF+VDfGoVCobiFEM5vt27dAKSAzGg0kpGRASCTdx966CG5iBPBTLEJtGfPHj744APOnDlTYnfI8pCZmcmiRYs4ceKErtKWcHrE5o7BYCA/P5/8/Hz5u3bjRyS1t2zZkuXLl1daMKmoeWi7P2p/1wbaramsMBfg1KlTMnlNBHMA0tPTiY+Pr/TnMpvNNGnShO7du+vOvXnzZvLy8uzyPVPYDxGYiYmJ4cUXX+R///sfoaGhMjgpbEQ44+L+aR1zcYy8vDzOnDnDm2++yeuvv05YWJiuu6k1QqArhLwmk0kKKrUC3c8++4wLFy7cuD+KotIYDAZSUlJ45JFHSEpKwsnJSRdsFP+Lf2Les062FOObyWQiJCSEv//+mzfffJPHHnuMcePGMX78eF588UXWrFnDli1bSE1NlV2jxDHAdgcfa4RA96mnnsLDw0OXOG7dQfeXX34B0AXrFYrKIAS6U6ZMAfTjoQhQCoHu2rVrSUhIqOYrVtiD6wlztR0lyiLMhWvJj4MGDQKubc6YTCZyc3M5fPiwfF1FEWuBQYMG0aRJEzmWC5utKmGu4ubmjjvuYPjw4QByvk9PT2fnzp26AkUlYS3Qtfbxtf6OKDz073//m8TERDVf32aIMUoUEBA+jYODA/n5+dKvqIxfai3QFb64k5OTHHPFuLdkyRKWLVtGZmZmJT+Z4nYgJSWFDRs2EBcXJx8TCZgjR47kgw8+oFu3bnh4eJRowxaLhYYNGzJu3Dg+/PBD+vfvb9Ond3Z25uzZsyxbtkyKKyuL9foiICCAfv364ezsrDqT3oKIuVXcV+1cHBUVhclkknEj6/dVNrZZp04dWcRSrD+F/YWEhJCRkaHij7cAFosFLy8vmSikrWx/6dIlIiMjK30ObYcqIdD19vbWrS/F+FVUVMTXX3/NqlWriI6OrvS5FTcvYmwTIm2xv2cwGEhLS5OJ6RUZh7Q2OXjwYCZNmkSPHj3kebXCLyHQXbBgAXFxccrvUZSKsKtp06bRqFEj3d6OxWJh+/btMt6ofQ7gjz/+ID8/XyfMfeSRR6Qwtzy2HhQUxGOPPcb48eN1460QCgN8/PHHhIWFqWTzmxyDwcDFixc5cOCAXK8J3+bee++lXr16lTq+rfHOls2UNC6K/aCnn36ali1b6mKxYg/LYDAQExPDzz//zMSJE1m/fj0RERFA8eIuYnyOiIhg5cqVzJgxg9jYWLmGEK/v1KkTgwYNKla4VnF7IgS61jF/rf+8fv16vv32W06ePFmdl6qwA/v372fJkiW8/PLLREVF6cRiZrNZzrtawZV2rNCuE8Xrtd3oDh06xPPPP8+CBQtkrlpZ5mgh0PXx8ZF7k1pBGMDSpUvlfo/i9sbFxQW4VihY2Gdqamqljqu11yFDhjB58mSZb2btBwmB7oIFC0hISFB+kKJEWrRoQatWreS4ZrFYSE9P55133uG+++4rFlOEawLdOXPmyFilrfimvRHr0DvvvJOWLVsCxQt3Hj16lCVLlpCZmVnmMV5RvYh7J4r8aONHKSkpdokfCYHupEmT6Nq1qzyv9bi5ZcsW3nvvPZKSktS4qQCu7rFoETZz+fJloGx5lrawFugajcYS99A//fRTvvvuO7WHrlDcxChxrkKhUNxC2Eq4FI7zzp07AWSVSXsJdK2fs7UINRqN+Pj4yKq+2gCmEFhoxW3axDjtY15eXtx5553897//VcLcWwxxv4WTI0SyRqOR/Px8KZqwti97JK8B9OnThyZNmmAymeR3QVQl2rt3r81zlwej0Yinpye9evUCroqNjUYjaWlp8mdFzUBs2kRFRTF16lR2794tA3ninxgrAd14JcZP8ZzYQBIO9E8//cSiRYvYtGmTDPwoge7thY+PD/3795dV/6zRFijQBo+txbraTUij0ShtLCUlhaNHj7Jx40ZeffVV/vnPf/LII48wevRo3nzzTX766ScOHz5MXl5esQ71cG2cE+cS12wt0NV2mVICXUVVYkuga52MoQS6tw5i/Qbw2muv2UWYC9fGVpHgJkSQ4lzHjh0jNze3UuOWOEeXLl0YN24cTZs2lWO3EuYqSqJ27drceeedsruZ8F9Wr17N5cuXyzSfXk+gq91ozMvLY+fOnUqgexsixqj27dtLn0VbWEgk0lY2CbY0gS7oEymFQFcUklMorBH+yIULF9i8ebP0Q4TdDh48mNdff13XyawkG9b6Ts2aNeOjjz6iTp06Oh/fwcGBgoICAP71r38REBBQlR8PUJ1Jb0UcHByoW7cuDRo0AK758gDh4eGkpaUVu+/2iG2Kc9xxxx26RFDxeHR0NDk5OUrscAsg7EfYmIjfGAwGTCaTHMcqS3kEuiaTSQl0FdI227VrB1yLmYv9lsp0mBDvUwJdhb0R9ujl5SW7LwpbdnBw4MqVK7z22mtyHaqNW4k9S7E2bdWqFQ8//HCxY5eVgIAARo0axZAhQ/D09JQ2K8bagoICVq9erYr93gJcuXJFJ7w2Go34+vrKrrnlub/a/SNAxiEjIiLYu3cvf/31Fxs2bGD//v2EhobKdYJ2T9r6fLVr12bQoEG8/vrrdOrUScZktYgYbXx8PC+99BKzZs3irbfeYvXq1Zw+fZrTp09z6dIl1q9fz+LFi5k1axYffPABiYmJOmGuyWQiMDCQl19+GV9f3/L9IRW3NCUJdLU/K4Huzc/atWt54403+OWXX8jOzpbjA1zbJ9fugWtzMEQcR+ScWfvB2nyOmJgY1q9fz8yZM9m2bVuZ52hbAl3Q26ES6CosFgt+fn4EBgYWKzIRHh5OSkpKpUSM1gLdSZMmyWYtSqCrqAiOjo4EBATIPF1HR0cSExNlvs+AAQNqlEAXoGPHjowfPx5ANx4D5ObmsnXrVtasWUNubq4S6N4EiPvXtm1bQB8/Kioqkvk+lY0flVWgu3XrViXQVUjat2+Pl5eXrtgLXJ3TbfnG5aE0gS6gBLoKxS2EygZUKBSKWwixAOzTpw+enp7k5eVJZzgxMRFA15nhxRdfBODXX38lMzNTOtdiMbhnzx4AXnjhBVq3bl1sgakVB506dYq2bdvK92oDox4eHrzxxhts376ddevWsX37dp0AUjg/2k6SIvlIvK5Lly7cf//9DB06lLp161bxX1JxoxF21KhRIwApPtM6OYCuOq+9hLkmkwlPT0/uvvtumUCs7WQhHP/KdlMzGAzcfffdrFy5UlZJjImJ4fjx4/Tr10/3fVJUD8J2rly5wuTJk4tVcBbJRHC1Aqa3tzdOTk4YDAaysrLkOCtsRyRsaJOI9+zZQ3JyMmlpaYwdO1a+xtq+hEAX4IcffpBOuBgvhUAXYNasWTRv3vxG/ZkUFUTY0YIFC/Dw8GDlypXFKvtaV/3VFs0Q79cGA7UFLbTjhxBzA8TGxmIymaToAq6OtT4+PvTt2xc/Pz+6d++Or6+vTIAQ9ijO6ePjw7Bhw4CrQgrtJqm1QBdg1KhRxdYDCkVFEQJdi8XCd999J8dDMVdrBbpwtYOaKFSjuLkQ48WLL77Ib7/9pqtGXlFhrpa+ffvSvn17ua4U4+mxY8eIjo6mRYsWlbp+i8VCrVq1ePjhhzEajfzwww9cvHhRCXMVNhFz94MPPsiePXtYu3atHNNSU1P597//zaeffkrt2rWveyxrgS4U9/HF+bQC3VdffZW6deuq+fo2wsPDQ7eWNBqNFBUVkZSUBGAXn9RaoDtlyhS5uVhYWKibx5csWQLAlClTpKhcoRAIP/ujjz6S/ococNSqVStmzpyJm5tbmY8nfJvU1FT+7//+j7S0NDk+ajueffnll9x5550qRqMohrChgoICnJ2dbb7GYrFQWFgoRePChhwcHEhKSuL3339nwoQJuqJu9ohtiuPdeeed+Pj4kJycrIspFBUVkZuba/8/iuKGI2xGiHPFvCts89y5c3Ts2NEuY5g2ViUEui+99BKpqaly/LQW6MLVzpGie6ri9sPb21v3u/BVYmJigMqtN7U2OXjwYPn4oUOHdHFTrUAXYO7cudSvX1/5PYoSqVWrFlOnTuXvv//WFUp1cHDg0KFDLF68mNmzZ0t7Tk1N5eLFizg6Osq5uXXr1lLgW1EaNGjAxIkTuXDhAgcOHCi2V3no0CHy8vJkgS/FzUl4eLjMfRD/3N3ddYXXy4J2TMvJySE8PJyff/6ZM2fOcOnSJZvFWdu0aUP9+vUZN24cjRs3plmzZjbP5+LiQnBwMJ9//jnz5s2TBeDF90J0pxRrgOjoaFauXAlczUMpKCjA3d2dnJwc3XG1e5wmk4k6derw+eef07hx47L/ARVlRuu/CBHjzYQQ6M6ZM0c2HzCZTLq40vr16wGYOnVqpcdgxY3l+++/Z+HChdJPFX4rIOc/bT4QgLu7O7Vr1yY/P5/c3FwsFot8v5iPrQW+cG3PPTU1lVmzZvHss8/ywAMPyLyk0tanQqA7e/ZsUlJS5PG1drh06VIAnn322ar4UylqOAaDgVq1auHn50dERITO7nJycnTdnCtzDmGnQ4YMkY8fPXq0mB8kBLpw1Q/y9/dXfpBCIuylVatWbNu2TY63JpOJw4cP8/DDDzN//nyMRiN//fWXtB2xpyQEugALFy6U/lFVrjGE7Y8ePZqLFy/y1Vdf6Xw2s9lMXFwca9asoU6dOgwdOlR2s1bUTMQ9vVHxo6FDh8rHjx07ZnPcFLmX8+bNw8/PT42btzHu7u4YDAYKCwt19pefn1+sCEdF0Ap0v/nmG6ZOnarbQ9f62Z9++ikAkydPVnvoCsVNhsoIVCgUilsQd3d36USLRInQ0FBSU1NldZfKCnS1TtCKFSt4++23mTNnDtOnT9cJcoTD4+bmxtChQxk6dCgrV65k79697NmzR1b5ta6oJZz74OBgOnbsyPTp06ldu7ZKZr+FEYIGFxcX8vPzdQLv7du38+eff3LffffpRGqVTV4DpE21bNkSuCasFHZsj44D4rzNmjXD399fdqqCa8J5lfRZvYiExfj4eJ577jmbwlx3d3fatGnD/fffT3BwMK1ataKwsFBWcQsJCSEkJIQ1a9aQmppKXl6ePIa2euDp06dZvnw5BQUFTJ48WQYOrW1ACXRvLbTB6ddeew2gmEBX/K/tyOzm5kZ2djZwbXwSwRht0Flb4EK8Titq057/ypUrXLlyhdDQUOBqdwAnJydat25N27ZtCQwMpE+fPri5ucmCGHXr1mXMmDEUFRXx+eefk5WVJYOWSqCrqGqcnJx44YUXAHQC3aKiIiXQvcU4e/asFM+CvkJ6ZYS5cHVMrFu3rhyzRKGg3Nxcdu/eTYsWLSq1iSjGb09PT0aNGkV2djapqam8/PLLgBLmKvRofZqZM2dy5swZTp06Jeft8+fPs3XrVkaMGCFfXxpKoKsoC40bN8bHx4eMjAxZZAWuJvII0aM9xqnrCXS1m4tKoKuwhRivUlJSiIuL041xYj1QnqIawh/Pyspi1qxZuhiSVpj7xRdfSGGueJ8aGxVwLXktKiqK//3vf/zf//0f3t7eNudnZ2dnBgwYwMGDB+UaVvjoO3fu5NFHH5WiBWdnZ7vENgEKCwtxcXHRiXPh6vcpPT2d5ORkmjZtquKPNzliTBLiA+GDiHn8woUL8nF7oAS6ivLSsWNHXFxcZPdGEas8efKkrvNyRamIQNdisTBv3jwl0FWUiMVioWvXrsycOZPPPvtM7r8I+/3rr79o2rQpo0aNwsHBgZiYGJKTk4GrvriLiwtjxowpsRBreQgKCmLWrFkcOHCgWMfeCxcusGrVKmbOnKkKydzECNGsdq3m4uJSrvupjV9u2rSJrVu3smHDBvm88OsdHR1l/MlsNnP27FlOnz7NoUOH8PPz44knnmDgwIHSF7cuvu7j48MXX3zBwoUL2bFjB2fPnpXzvojLawvNajuoCUGoNiYl4hBFRUU0btyYzz77jKCgoEr+RRW2EOPGxYsXeeutt3j88cfp0aNHjRXoljSmlSTQ1a4/lUD35uN///sf77//PnCtML+2sJTwbVq3bk1gYCDDhg0jICCAevXqUa9ePbKzs8nMzCQ/P58jR45w+vRpduzYQXx8PHl5ebr9drEu1NrMokWLiI+P59FHH5X5b0qgq6goYp4TIjPt3mN2djaRkZFyX7Iyazcl0FXYA7EOEN2Xha2aTCbi4uIAqFOnDm+//TZAjRDoags1jB8/nnPnzrF9+3bps4lrO3v2rMwfGDRokOxEqah5iLGwU6dOODs7y3WANn5kj+7HSqCrKC8mkwkPDw8aNGhAWlqazoauXLnCpUuX7JKXK8atXr168e233+oEutbFiJRAV6G4OVFZgQqFQnGLYTab8fX1pVOnTuzatUs6NUlJSaSkpMigUGUFuuK433//vXTMlyxZgqOjI1OnTtUl/1oLesePH8/w4cOJjY3lzJkzhISEkJGRQUpKCp6ennh4eNCxY0eaNWtG+/bt8fT0vKF/Q0X1YDAYaNWqFXfeeSd///23LumsoKCA7du3ExwcjLe3Nw4ODmRmZjJjxoxKJ68JuxQJQ9oOqdoAQGUxm824uroybNgwTp8+retooKh+DAYD6enpLFiwgBMnTsgNIGEP3t7ezJkzhx49euiqOIuufq6urvTr149+/foxaNAgQkJC+Pjjj0lNTZUOuzZweenSJdasWYOHh4fssKcEurcm2vt6PYGueD1ctUlfX19mzJiBm5sb6enpHDlyhIiICAoKCkhKStIVttB2S9E+Lo4nNjO1lYfh6tiUnZ2NyWQiKSlJzvkeHh44OTnRp08f/P396dWrFy1atODOO+/E1dWVRYsWSdGwtiOPEugqKoL1+GdrPCxJoKs66N5aNG3alLlz5/Lll19y8OBBDAYDTk5OFBQUVEqYK7rijRgxgr1798rO9mJMPHDgAFOnTrVbBWtPT0+mTZsmu5koYa7CFsLeAgIC6N27t/QRxJz8+++/8+CDD5Y5wVcJdBXXw9/fHzc3N1JSUoBr68Ts7GwZA7IXqoOuojKIdeDmzZuJiYmRv5tMJtzc3JgwYQKurq5lSmyraGdS8TxcXSeI+KQaK28/tMLc0aNHk5GRwaOPPoqPj08xGxQ/BwYGSlGaVuCwa9culixZwnPPPYezszNpaWk88cQTlY5twtV1gNFoxM/Pj7Nnz8rEJgcHB1xdXUsUEytuTkTncNFRSsQxk5KSgMp1l7BGCXQV5cHLywuj0Sg7SghycnLsNn+WV6C7Y8cODAaD6qCrKBFhq3379mXXrl2EhYXJxy0WC5cuXeLXX3+lQYMG9OnTR9edz2Qy4eLigq+vL4BdbKt379489dRTLFmyRIofxTmvXLmiu2bFzYMYt8Q+jZi7RR6F9dqxJLTih8WLF7Ny5UoyMjIAdKJZuLYnBNeEDQ4ODuTk5BAZGclLL73EwYMHGTp0KHfddVex4uvCbxd7o1u2bGHVqlW64l5CcKstFqI9t1Z4Z7FY8PPzo1OnTsybN091zK0ixD28fPkykyZNIikpiezsbF588UW6du1aIwS6wrays7NxcnKSwoyyCnSthZFKoHvzsGLFCinM1Xa5FTFxV1dXmjdvzkMPPcTQoUPx8/OT7xU5O25ubri5uWE0GmnSpAlwVbAQHR3NJ598QkxMDLGxsfK4Yl2otZmVK1eSlZXFo48+Svfu3ZVAV1FhxLzdoUMHNm3aJOdbk8mExWLhzJkzBAcH22XtpgS6CntgsVhk3rB2Xbl7926eeOIJDAYDXl5eNUqgK+w2ICCAESNGEB0dzdmzZ6W9izE5PDycP/74g06dOsnu6Iqai5eXF0CxDqU5OTlVEtNUAl3F9RC5PK1atSI8PFzXVCU7O5usrCy7nUsr0F22bFkxga7qoKtQ3NyozECFQqG4xRBOQdOmTdm1axdms1km95w7d46goCDpPGiTd+fOnYvBYOCXX34pVaA7Z84c2rRpg8FgkB1zAZk0/+GHH5KVlcVTTz1VzFnSOj0eHh60bNmSli1bMmzYMKD0pBFVBfjWRzg0QUFB/P3339I+RQBz/fr1dOrUiXHjxpGRkcHMmTPtkrwmqFOnDs7OztLx1orNxPVVxgbFcVq2bKkTzkVERNjl+IqKI/72u3fv5vDhw9JuxEaQr68vn376qawgqH2PVmgjxs3WrVvTunVrevXqxauvvsqJEydkl3CRMCfG5J9++glPT0+GDh1a4v0vj0D3ySefpFmzZlX1p1KUAWEHOTk5uLu7F7uvZe2gC1cLa6xbt44nnniCRx55hBkzZpCenk5SUhIhISEkJyezZ88eUlJSuHjxoi4BQgRqRCKFsBdtsrk2IcS6wnleXh7Z2dn8/vvvACxbtgw3NzcCAwPx9vbG3d1dinMFSqCrqAha20hISMDf37/EjXAl0L21EQLaPn36yN8PHTpUaWEuXBtbAwICZJKasDuDwUBISAghISF06dLFLhWsASnMFZWHFYqScHNzY/Lkyfzxxx/ExsZK8eKOHTv44osvmDVrVpnnUCXQVZSE6BBau3ZtoqOjdcVjkpOTiYqKkglt9qI0ga715qIQ6E6ePJnatWvb9ToUNy+xsbE6HxrAz88PPz+/MiX82EOY+80337B8+XLuuOMO3n77bTVG3mZohbkiHglXC1QuWLAADw8Pm++7++67GTBgAFu2bNHFmIqKili+fDmBgYE89NBDPPnkk3aLbQrb1IoixGdwc3NTxS9vMRo2bIifnx+pqakyvgNw4sQJcnNzcXZ2tmtSpBLoKsqCyWTC3d2dunXrcvnyZV3R3sjISGJjY6lfv77dE9PL2kEXUAJdRakEBwdz//33ExYWJuPcYv4+fPgw33//Pb6+vjLOI+LuderUoU6dOna1qw4dOuDq6kp+fj5wbR2wbds2EhIS8PX1rRECO0XZEffQxcUFQDd/JyQkkJ6eft1EW60P9NZbb7Fy5Ur5nBD7as+lFXYDuoLUYs7+9ddfOXfuHFFRUUyYMEG3lyPWqEajkf79+9O/f3969+7NqlWrOHXqFOnp6bo9JfGzdm9d7D1ZLBZ69OjBgw8+yIABA6SgXWFfhI1cvnyZcePGkZycjIuLC6Ghobzzzju8/PLL1S7QFWvGqKgoXnvtNQYOHMiYMWOuK9D98MMPef7550vtoGuxWJg2bZoS6NZQ1q5dy3vvvQfYFuZ6eXkxbdo07r77btq0aSPfJ+xajCvauVaMUQ0bNqRRo0YsWbKE0NBQfvjhB9lZUZzDbDbrbOa3336TnXa7det23TWqEugqSsPLy0s3z1ZVAS0l0FVUFoPBQNu2bWndujURERHSZrOzs3X72fYS6Nqy/Yp+HwwGA4MGDeLChQvEx8eTkZEh86AsFgtNmjShQ4cO+Pj4lPvYihuL6FBat25d3X6lxWKR97du3bp2Ga+UQFdRVoSdiAIGwnbEOi8mJoZOnTrZ7XxiTO3Zs2exDrrWRa6VQFehuLlQs4ZCoVDcYohNFtE9UQR9TCYTx48fl48JtA7yCy+8wEMPPSQXcWJjSGww7tmzh4ULF3LlyhWWL18uHXFHR0e5QC0sLOTixYslXp+1+Ei7KWSr05/1+xS3LkIYNmHCBBo0aKDbsBPOxvz589m4cSOzZs2yW/KaeF50oxSBG7Hx3r179zIdp6x07tyZdu3aUVRURJ06dZgzZ45dj68oH2LsKioq4tdffyUhIQGDwaDbCFq0aJFOmAu275d2bC0qKqJp06Z8/PHHDB06VDrv2oA8wMmTJ/n5559lNfaSEALdcePGAVeDVQ4ODtJWs7Oz2blzJ4sWLeL8+fMV/4MoKoUIzEVGRjJr1iwSExN1c5tA2932tddeY/z48TbnPaPRSHh4OIsWLeLPP/8kKysLLy8vgoKCGD16NDNnzmTp0qWsXbuWlStX8sEHH/DYY4/RpUsXAgMDAX1ShkiMcHR0lMe3vn6RUCmEayKpwtHRkdzcXCIiIjhw4ACJiYlyfWCd4KEV6P7yyy/yOuzViVxx66ANZn///feyWj8UTx4SCIHu5MmTgWtV1rXJwEKgu3btWhISEm7cB1JUCjG3Ojo60qdPHx5//HFatGhBq1atKiXM1dKlSxcGDBggfxeb5ampqYSHh+uuw16oNd6tT2XnN7PZTEBAAHPnzsXNzY3CwkJp55s2bSIkJKRcx7MW6Fr7+FqfXCvQFXO7mq9vTYxGIy4uLrLYmphnTSYTWVlZXL58ucrOqxXoCt9dzN3acX3JkiV89913ZGZmVsm1KG4ezGYzhYWFHD16VFedGqBx48ZlEiNUVJgr4gEAb775Jp988gmxsbEcOHBAFldT3D4IYe6YMWNISkrCyckJgPPnzxMXFwfYXgdYLBa6du0qjyFeJ+bepUuXcv/993P06FG7FR00mUykp6fLuJbWlhs0aIC7u7tN/0pxc+Lr64uXl5eMYwv7ysrKkrEce6P10YVA19vbW7e+tBborlq1iujoaLtfi6Jm4ujoiKenJy1atAD0IrC0tDS7dj8BvU0OHjyYSZMm0aNHD4BiBbmEQHfBggXExcUpv0dRDGEP//jHP3jooYd09ivG1L///pv//e9/xMXFYTKZKCgokD6NKHZtL+6++246duwo18Jasbn2mhQ3H9aJtGIvMj09HSieHyHQFhCaP3++FOY6OjrKhHKxZyj2ecT/4p/YExJxdHG8EydO8NVXX/HFF18A+r0ca7u+//77ef/99/n222954IEH6Ny5M4DMRSkqKpIdA41GI05OTowcOZJ58+bx7bff8vDDDythbhXi4ODAxYsXGT9+PMnJyTKx28HBgfDwcN555x0pRKgOhN1duXKFcePGsW/fPn755Rd+++03CgoKStwTAhg0aBAffvihbo9AuycEsGHDBr755htOnjx5Iz+Wogzs27ePr7/+Wo4N1sJcPz8/Fi9ezD/+8Q8pzNUWuioJ7XpPdIPs378/n3/+OU899ZQsRKgd80SOBcDmzZtZvXo1Z8+eLdPnEAJdHx8feRxtV16ApUuXsmjRovL+iRQ3KcJOmzZtiqurq65YBVwVzULl95C0aI8/ZMgQJk+eLHOZrP0gIdBdsGABCQkJyg9SAFfttlatWrr1YVRUlNwnF/YlBLqDBg2Sa0vt2lAIdOfMmSPXotZ5vyIGsGXLFrZs2SLfV5EYpWhONGPGDPr37687VpMmTRg3bhzjxo3D3d29Yn8YxQ3D0dGR2rVrExQUBBSPH+Xl5dnVv7YW6E6aNEnG7m2Nm1u3buW9994jKSlJjZu3IV26dAHQNUKxWCycOnXK7ueyFugajUYp0AV0vs6nn36q9tAVipsE1bpDoVAobjGEY9ulSxfc3NxktT9AVmWzpizddbQddB9//HEuXLgAXBPmCkfp/vvv58MPPwTKVu1K+7w20V4lsd9alLXymdlsxtvbm/vvv59ly5bJwI22GtALL7yg6whd2eQ1cW2JiYm694hOE/Xr1y//By6FWrVq4eHhgdFoZMWKFTJZRVE9iPu9fPlydu/eLRMYTSYTLi4uzJo1SwZlyoPYDPf19eXFF1/E19eXjRs3EhsbW6xryt69ewkICKBVq1a4uLiUWHmttA66zs7OpKens23bNmbMmFGJv4iiooj7dvnyZcaOHUtqaiq1a9cucdPweh10tcHwixcvykpod911F25ubtKOnJ2dMRqNdOzYkU6dOvHggw8CkJOTQ0hICKmpqezZs4e4uDguXbpETExMsU46Yp4X3crFsbVBUPEe7fVpx1rtOK8V6M6fPx+41kFXoRBYC3NFt+VatWphNBoJDg5WHXRvYxwdHenVqxfz58+nffv28v7aowOt2OgRiPH4hx9+YMCAAdSrV6/S51DceqSlpVFUVER0dDQeHh44OjpSt25d3N3d5VhW0eq54j0dOnSgV69esqsTwIULFzhw4EC5uzqrDroKa8T9rlOnji7xQcR0kpOTq+zcpXXQLSwsVB10FcUQvonoFKa1Wa3QsaRxqjLCXLgqvFy0aBF///23HC+joqI4cuQIrVq1qrLPrah5FBQUMH/+fNLS0nRx9osXL/LDDz/wyiuv2LRDg8HA5MmT2bhxI6dOndJV4DebzURHR0u/2R6xTbg6np87d47IyEj5mPDng4ODVUX1WwjRna5OnToAcpxycHAgKSmJS5cu0bp16yo5t+qgqygNYRteXl6AvsNEYWEhCQkJxfzxyqI66CrshVh/ikLWCQkJ7NmzR9qPGNfWrl1LYmIibm5u5Ofny/h5QUGB3a5FzN8ilinWAg4ODuTk5JCcnKzinDcxXbt2xdnZGbPZLMWz2dnZ/PHHH7Rv377EtZ8Yq7788kuWL18OXMur0HbMbdy4MUFBQbJ4a1xcHNnZ2Rw9epT8/Hw5TwsRrViPxsbGsmLFCpycnJg2bZoubiQQv/v7++Pv78+CBQtwdHTkyJEjpKenc+HCBfLy8nB3d8fFxYVOnTpRp04deS3iGIqqo6CgQAoJhIhV3GetQLc6OuiKMTYqKorx48eTlJSEo6MjJ0+eZMWKFRgMBh588EGcnZ1LPIYQ6Fp30NXuD23YsAFA10HXXh0rFRUjPj6e3377TTZ40OZJmEwm6taty7fffltsnVjeeyZeL2z+qaeeIigoiHXr1rF9+3ZdXoWwR1G83cPDg8cee4yAgIDrnkd10FVoEXbXqFEjnJ2dycvLA67ZeVZWFmD/wiqqg66iolgsFpydnenevTuHDx/GaDRiMpnIy8uTBc+1429FO+gKURtczeV455136NGjB05OTtx1110l5oCUhjivs7Mzb7/9NikpKezZs4dmzZrx6KOPMnr0aBX/vEkQ917sAWrjRwUFBSQkJMgCG/ZCddBVXA8xHonmO6KplIgXZWRkVMl5VQddheLWQ4lzFQqF4hbFxcUFJycncnNzpYNx5MgREhMTqVu3brHXl0ege+nSJaC4MHfo0KF89NFHAHZLnlfcfNgKoFiLzUoKsgg7GzhwID///DNpaWk6sY22WpWw18omrxkMBmJiYvjxxx+LPd65c2eCg4PL9wcoBeHQjxs3jrfeeotmzZrZ7diKiiFsUVQB1AZT/Pz86Nmzp6xIVV7EmOnt7c3jjz+OxWLhl19+ITU1VSZkirF3zZo1NG3alBkzZpQa0LEl0HV1dZWB/oULF9KxY8cKXa+i4mg75o4fP14Kc2NiYkr9npdHoHvu3LliAl0o3pFeHM/d3Z077rgDuFrN3GAwEBsbS0xMDFFRUezZs4ekpCS5SaMV34rAp3bc1Qp2ta+z1TlXe4zs7GxefvllGjdubNfxVHFzU5IwF+DPP//UJZGXNJ8rge6tjcViwcnJSdd9obK+hRifHn30UdatW0dMTIycjwGSk5NJS0ujXr16KmFHIfn55585f/48f/zxB4WFhWRkZEiBV/PmzWnWrBn9+/enV69eOmF3RWyoUaNG3H///TJZSGy6fPrpp/Tp04dOnTqV63hKoKvQIu61EOuIOVMkBB87doyRI0dW2X0vTaBrnUgpBLpTpkxRm4u3MUajEUdHR+mXCB8jNTUV0Fc011JZYa7FYuGbb76RwlytGOPvv/9m1KhRODk5qfHxNsHZ2Zn+/fuzfft2cnNzpU2YzWZ27dpFWFgYHTp0KPY+UUTtmWee4ZVXXpFV9rXrA2HTWrtcunRphWKbABkZGfz8888A8nvj6OiIk5OT7KCi1ri3BgaDARcXF9q1a8eRI0cAZOdGgMjIyCoT54rzK4GuojQ6duzIr7/+Ktd/osPEyZMn6dOnj93PpwS6CnshRBPe3t5MmzaN1NRUuW+k3cvZs2ePfL3FYiEpKYlDhw4xbNgwu1yHsMe2bduyceNGufYQ36Xs7Gy7nEdRPYiCWSLRV6AtsFISossoXLNXMf/fe++93HXXXQwbNkxXSE5w4MABzp49y4cffig7MIvxU4zXCQkJrF69Gh8fH0aMGFHiXj8g938AunfvLq/heqi1aNXi6OjIzJkzyc7OloIbcX+rU6BrLcxNTEzEyclJCstPnz7NN998Q15eHuPGjSt1Xi5JoKtdf27YsAGDwcDUqVNLFb0rqhZhd6Ghofz555+ya67wg0XHXCHMtdeaTGvzQ4cOpUmTJjRs2JDvv/++mEBX2MyKFSsICAjgscceK5PfrAS6Ci1msxlXV1dcXV3JyMjQFVZJSkoiPj6+SooCK4GuoiII+2zcuDGgb5QSEREhu+RWVKD7wQcf6HKgVqxYwTvvvAPA4cOHcXFxwWKx0L9//wrNz0Ik5+Liwn/+8x/mzZtH69atlTD3JqVTp05s2LDBZvyoR48edj+fEugqrofFYsHHxwcPDw9yc3N1uZAnT54kNzcXZ2dnu/tQpQl0rffQlUBXoaj5qJlCoVAoblGaN28ug81ioVhQUCCdY1tYJ+8+9NBDchGnreAqjiecItExd9GiRYAS5t6uiA0UYR8HDx5ky5Yt/Pjjj/z888+cO3euWHfakirkdunShTlz5gDX7EnYmrBBg8Fgl+Q1s9nM/v37yczM1G0IWCwWWrVqJbsQ2APhnA0ZMkQJcyvImTNnSElJsdvxDAYDZ8+eZePGjYC+U+iDDz5Iu3btKnV8YVO1atVi+vTp3Hvvvbqup1qx0ZdffsnevXuve0wh0B03bhyOjo5SmPvpp59y3333yc+huDFohbkTJ04kOTkZJycnMjIyOHXq1HXfL+ZegNdee43x48cXE7sCOoHuzp07ZQKFreNZI45Rv359unfvzsiRI/nggw/45ptvWLduHStWrODZZ59lxIgRdOrUCXd3d5ycnOT3QYy9Dg4OGAwGm+ew7rirDcgPGzZMCXOrGVs2VV2UJMx1dHSU8++2bdv473//S0hISKnHEgLdyZMnA/o1g7VAd926dcTHx1fpZ1PYD+u1nD0C3OKYHh4eciNcHNfBwYGUlBS++OKLYslxituPtLQ01q5dy2OPPcYrr7zCsmXLiI2NJTk5GbPZTG5uLnl5eURERLBx40beeOMNJk6cyNq1a4mKigL082JZEK8dPnw4Y8eOBdBtuixdurRCnU2v5+NrBUJagW5iYqJuLlfc/Ii5V/ihJpNJF9/JzMzUva6qrkEr0BWCNEdHR10BLoAlS5awbNmyKqtErLg5EJvOcG2cFP6vrSJalRXmwlUfvX79+tLvEQmbABEREeTl5akEjNsEYR8PPfQQ/fr1k48J/zgyMpLQ0FDdawVijdmhQwcGDhyIi4tLsTlVvEfY+P/+9z/69++v63xWnuuMiIjg8OHDwDXxuslkok2bNlIooda4NQtxryuK6E4qbEDMocLvrUrfX7vWFQJdb29v3frSWqC7atUqoqOjq+yaFNWPuPd+fn7ANRsX82ZaWlqVnlvY5ODBg5k0aZJM5LQu+ioEugsWLCAuLk75PYpiGAwGgoODefjhhwkMDNQVqTYYDLpxTvx84cIFu51fu6cvftfG5N3d3e12LsWNp23bttxzzz2yKKtg8+bN7Nixw+Z7xBi1b98+KeI1GAxyHTl9+nTeeecdHn30UTw9PaUNiQR3gF69ejFx4kR+/PFH7rvvPry9vXXCC3EtFy5cYOPGjZw+fbrUz2FrXSnWyVD9exC3K0ajka5du/Liiy/SpUsXaTtir1rs8wmBrhAiVCUlCXNFXEp0yj137pxNYbkthEBXdAe23hMCWL9+PUuXLuXs2bNV+vkUJWM0GklMTOTdd98lJydH3ifhq3p5efHee+/ZVZirPbcYh9q1a8fUqVOZMWMGcNUHF3Oq1mY++OADduzYUWa/WQh0fXx85DHF2CyOuXTpUplDp7h1MRqN1K5dm7Zt28q1oijEkZCQQExMTJWdW+sHDRkyhMmTJ8sCbdZ+kBDoLliwgISEBOUH3aYIe2nQoAFOTk66XKWQkBBdXEeLEOgK8a71uC0EunPmzJFz/3fffSdFvUKUu3v3bhYvXlymPKqSEAUeXF1d+fDDD5VA7SakJsSPhEB30qRJdO3aVV6H9bi5detW3nvvPVl8U42btzYGg4HAwEACAgKkfyvueVJSUon5kvbAWqBrNBrlHjro162ffvop3333ndzbVygUNQuVRaBQKBS3MLVr15aOtYODA4mJiRw7dqzU92iTd+fMmcNDDz1E7dq1bb5WLED79u0rO+ZqF4WKWx/t5pqDgwOxsbF89NFHTJo0ialTp/LUU0/xxhtv8MorrzB+/Hgee+wxli9fLhNxtN3KrI85fPhwJk6cCOiD5ALxvjfffJP+/fvLTZzyJq/FxsayfPly0tPT5TWZTCYaNWrEk08+We7E+rKgEjkrxldffcXYsWPZtGmTXYIxWhsQHfq0NhQUFARQ6eCKsHNvb2+ee+45WUVabNKIJI6cnBy2bNlCYWHhdc/ZokULJk6cyPDhwwFYvHgxgwYNkp9LJVzeOIxGI0lJSYwcOZLExESZ/A3Irk7Xw94CXVvXCNeCnFr7atKkCV26dOHxxx9nwYIFfPvtt/z88898+eWXPPnkkzzyyCM0adKE2rVry3HWWqwrqm+LcwiBpdlsZvjw4SxcuLDYeRVVi/Xf2rqqvdlslsk7tt5XVckzpQlzRXVzFxcXCgsLCQ8PJyAg4LrHLEmgC+gEuv/9739Zt26dnO8Vty+1atVi0qRJwDUxhNhsvHDhgtwoV2PW7UlsbCyvvPIKH330EXv27NElKYokL7HWEnaTn59PVFQUr776Ku+++66spFue9ZjWL3rggQdo0aIFcM1GT548SVhYGFB+IYcS6N6c2JqLK3svzGYzXl5eUtSoTSyPiooiOzu7yhNoSxPoWidSLlmyhO+++04JdG9BbNmydmwTa0YRj9R2nIiKimLXrl2A/ntiD2EuXF2XDhgwQK5JxfPOzs6kp6fLonOKWx9x711cXOjcuTNwTXQrxqnPPvuMyMjIEud8Pz8/HnnkERlfsk5aE//ffffdcu4vb3KHwWAgNTWVhQsXEhUVJbv7FhUV4efnx8yZM2VXCUX1cOXKFRYuXMjWrVs5duyYFFuVdq9Lm/O1SeaiyJX2PWL/p6rXcOUV6H711VdKoHub4OPjI4uvaMfHEydOyI5iVUFFBLrvvfeeEugqimGxWHB1dWX48OE88MAD+Pr6FvOTtPM4XI1zVibB3BbadaeI53p7e5cpXqqo2bRo0UIKJUUHWoPBwB9//GEzdm00Gjl79izLly/HbDZLYSPAk08+yZw5c6hTp47ObxLv0643zGYzrVu3Zt68eTzyyCMy4RiQ+z0AO3fu5I8//ij35xLrUFBFYaoTo9FIhw4dePnll3UCXRF7vJEC3ZKEucI/d3BwkGtjkZdUVkoS6JrNZumvhYWFERsbq+b4akCMb+vXrychIUH6BIDcB9SKCKsid0Y7DgUGBsrcJSi+jyhipW+88Qbh4eFlPkdJAl1tfFMJdG99xDrRx8dHVwzTwcEBJyenKhWZgRLoKsqHGBvbt2+Pv7+/rkhgWlpaqf56WQS6v//+Oy+99BLfffed7Jgr5gAxLjZq1Ii2bdtW6nOIed/BwQEPD49KHUtRffj6+tqMH4WGhpaYz2QPlEBXURpC/A/XxkxHR0fS09NJSkqq0nOXJNAV+cxKoKtQ3BwoZYhCoVDcgggnoEuXLsDVoI94THTyKQ2RtObs7MzLL79MmzZtSn296BhYUFBgs3OF4tZEm2gTERHBt99+y+jRo/nqq684dOgQcE2kJYQxZ8+eZf78+bzyyiv85z//AYoH27WJjyNGjODuu+8Grm3gaBMoHRwc2LBhA+Hh4dJhLysGg4H09HTmzZvHqVOndIlMnp6ejB49WgZQ1SZi9fPdd9+xcOFCcnNz+d///mc3gS7A0aNHZQVpETD39PSkdevWgH02hIQD7evryxtvvKHbpIFrovANGzbIhKDrERQUxLRp01i7dq2uY66y1xtPbGwseXl5uLm56Taxjx49CpRNRGMt0J0wYUKpAt1PPvmEHTt2lFmgq8VWQrA4t4uLC82bNyc4OJinn36at956i59++omNGzeyZMkS/vnPf3Lffffh7+8vky61FdjFmkMIc99//32AYsF5RdVgLTLYt28ff/75J4sWLeKZZ57hn//8J0888QTTp0/nmWeeYdGiRSxdupT9+/eTnJxcTMhtT4FOacJcUaTAycmJ/Px8fHx8+P7776lXr16Zgtu2BLpifBWfITc3l5MnT6rg5A1G3L/c3FyZaFMTaNWqFY0bNwaujYkWi4VTp07J5DM1Zt1+REVF8eSTT/L333+TkJCgq3Iu1ljaDUJtJxJHR0cKCwvZs2cP27ZtK3OBDi3C5rp06SKTJxwcHDAajcTFxfH111/Lx8o7PldEoPv2228rgW41Ie5JZmamLiFbO16J15Xn3hiNRpo2bUrLli115wKIjo4mMzPzhvgSJQl0xeaiNlFDCHTV/H3zo7VVMa6tXbuWH3/8EdCL1ERSd8+ePeVjYuM5Ly+PEydOAPriQ/YQ5orzNGrUiObNm+vG+8LCQgoKCoiLi7Pnn0VRwxHz/7Rp02jRooUumdjBwYGcnBxCQkLkY7Zo164dL7zwAp6envJ92uNbLBZ27tzJu+++y759+wBkMm9ZSEhI4OmnnyYkJEQX23R0dKR///507NgRKL/oV2EfLl++zKhRo/jqq6948sknGTduHA8++CCPPvoob731Fj/++CNbt24lKSmJlJQU+T7rOV9bpV+MTU2aNAGuFXMRrxVFLW7EPS+PQLeoqIj//e9/rFq1qkx7VIobi9bGKkvLli1tdpgQc2hVFvctr0B3x44dSqCrKIawI09PT6ZMmcKAAQOoVauWzVi9WG9mZ2fz22+/2aWwkBg/xf6X2As1m824ubnZ9fuquLEIu5k4cSKtWrWS91HsTe7YsUN2xhVrQfH/1q1byc3N1Qkbx4wZw9NPP607dmmIwnMBAQFMmTKFSZMmUb9+fXkdWlHj559/zt69e+310RU3mJIEujeyg25pHXPFuCbWsXPmzGH69OlA+QrMWAt0nZ2dZVypadOmTJw4kS5duqg4fzUg5tKdO3fKwrzaTmN169blzjvvvKHd4H19fXnkkUekrZlMJvmdED8nJiayatUqsrKyynxcWwJdoJhA9+OPP7b7Z1KUn+sVwqrIGku8p3379gAyb81isVBQUEBoaKg8flVhS6ArGgaUJtCNj49XftBtiPBhxBgs7OfkyZPX7Th/PYGu0Wjkt99+0wlzxdrDZDLxwAMP8Mknn8jrqAwqL+7GoS08YO/4kb+/f7H4kRibbkT8SAl0FdZ4eHjQoUMHAN1aMTs7mzNnzlT5+ZVAV6G4+VGtDRUKhaIKEU5obm4uDg4OODs735DzCgdBJFyKxEaTycTp06cBiiUDaREdJAFWr17NwYMH5XNa51b8vGvXLt58801efPFFWrdurRzg2wBtgOWvv/5i5cqVHDt2jLy8PJlsI14H1zryiI2Wffv2YTAYiI2NLbXKc8eOHRk9ejSpqakcP35cOsDaDctDhw4xa9Ys3n//fXr16iXfq7Vxcb3CsS4oKODy5cu8+uqrHDt2rFiCe6tWrRg8ePAN+84qSufbb7/lvffeA66KtmNiYli6dCkA999/P3Xq1KnQccVYZV2J2lYQ0R6ITiWNGjXi9ddf5+WXXyY7O1sGfUSlrR9++IEXXngBi8Vy3WvQJtYrYW710ahRI2rXri1tSYxRQkxR1oRIIZxxcHDg1VdfBa6KGLVJ4aJT7fnz5/n0008B6N+/P25ubpX6DFqhuDW1atXCwcGBgQMHMnDgQOBqV+CsrCwOHDhAcnIyBw8eJCYmhvj4eHJycnjggQeUMLcayM7OJioqip9//plz587JNVxJG35btmwBwN3dHQ8PD/r06UPPnj0ZOnQo7u7uspp6Ze/f9YS54ufCwkLq1KnDihUraN68eanrVWuEQBeuFnQQyRhCEHr33XczatQoGjVqVKnPoig74r5fvHiR+fPn8/DDD3PvvffWiPVVixYtuPPOO/n+++9lYojwl9atW8eAAQNkhzPF7UFUVBSTJk0iLi5OJr2KcUv8LDYH4drGiBjHxHjVqlUrRo8ejbe3d4WuQ3RAef755zlw4ACRkZEymePgwYN89tlnzJo1q0JrPmuBLsCvv/5KZmZmMX8pLy+PHTt2kJ+fzzvvvIOPj0+FPo+i/Ih7cenSJZ566ilyc3Pp0qULvr6+tGnThtatW+Pl5UWjRo1087O2o7NW0GNtKxaLBS8vL+lriIRMk8lUrsSzymIt0J0yZYrcXCwsLNTFsZYsWQLAlClTpKhccXOhtct9+/axf/9+Vq9eTUpKihSN9+7du9j76tevL38WflBRURFffvkl3bp1o3fv3nYV5orHa9WqRaNGjQgPD9d1UK/Kbn+KmokYVz09PXnooYdYvHgxRUVFsjhCdnY2P/zwA8OGDSvVb+nTpw8LFizgn//8pxzftMnJJpOJP/74g+joaCIiIpgyZUqxmKb1XJ2amsrp06f56KOPOHHihIxtCptt2LAhjz76KH5+fjfkb6UoTmRkJBMmTCAjIwNXV1cKCwspKiriypUrREZGcvz4cfna+vXr4+joSOfOnalXrx7NmzenQ4cO1KpVi4YNG+oKxAhb8Pb2pn79+ly5ckXahtFo5MqVK2RkZFCrVq0bEifUJrMJge5LL71EamqqvK6ioiLpny9dupQ2bdoQGBhY5demuD7p6enUrl3bZhxaO6aUN+4s9he1HSYyMzNJT0+vct9Ca5ODBw+Wjx86dEj6bUJALgS6BoOBuXPnSpGaimMqxBrA29ub2bNnk5+fz+bNm8nNzdUV8oJrRWT+/PNPgoODueeeeyptQ8ePH2f37t3yd3GuoUOHKv/8JkaMiW5ubnTo0IGIiAhdrCYlJYV//etfrFixAi8vL+nTALKIi1hDNm/eXNdltKxjtHidj48PI0eOJDk5mTVr1pCWlqbr9mgymVi7di2dO3eW+wSKmwutQPedd94hJCREFsISc51WoPvyyy/TtWtXuxR4KU2YK/bDSxLmlnf8FALdF154gby8POBqEZuxY8cyevRoFUeqRjZv3sz+/ft186a47xMmTKBTp043/Jr8/f0ZM2YMqamprFmzRuYeaYVju3fvZsKECbRs2bLMe5RCoDt79mxSUlJ0ewbCD/r8889p06YNQ4YMuQGfVGELbdx93bp1NGnShLZt2+Lu7k5gYGCxwqxivLTu6GiNsBGxpyiKbghE8Zaqnku1fpDWzo4cOVLMDxICXYAXX3xRFstWftDtgdFoxMPDg169enHu3DldMaCy7BEJgS5czRe1tYdqXfzYbDYzdOhQPvzwQ0DfwVxRsxH3NyMjg9q1a9scEysaPxLF+8XPcK1DaWpqaoX32suKtUBXIArXWI+bW7duBWDevHn4+fmpcbOasd4v0f5flnzb0hB7KiL3U/gv9moidD2sBbpTp06Ve+ii8I24JpE3OnnyZOX7KBQ1BLXCUSgUiipCm4z+9ttvM3r0aAYOHHhDk9EDAgJwc3OjoKBALhbDwsIoKCgo8Tq0TtKKFSukQy0S27RBJOFwmc1m9u7dywcffMALL7ygBLq3OFrn8scff2Tx4sWkp6fLTUIhshH2oQ1oi+cCAwMZNWpUqQliwhYHDRpEdnY2+fn5nD59Wp5HOMBGo5H4+Hj+8Y9/MGPGDHr16kWfPn2KdV0R13Tx4kW2bNnCunXrOHv2rExeMxqNmEwmfHx8eOaZZ5Qgo4awadMmnTC3sLAQBwcH4uPj+eqrr7BYLBVOSBABP9GtQWuzLi4uuuQKe41pwi47duxIp06d2Ldvn0zEFBtSZ8+evW6Q3xZq3K0eioqKcHJywt3dnfT0dDnmOTo6kpaWRk5OTrkq/1anQLe0awJ9UrC3tzfe3t4ymXLq1KlYLBYiIyOJjY3l7v/f9VwFJG8cf/zxB5s3b2bHjh1kZ2cD18YF7bwJ1+6LWMcVFBSQk5PDb7/9Jv+1bNmSf/7zn3h5eVXqukoT5ooq6Vph7sqVK8stzBVYC3QLCgowGAzceeedTJw4kX79+gGqmMGNQNz3y5cvM3HiRJKTk8nOzsbZ2Zl+/fpVq0BXXNuwYcPYsmUL8fHxwLVOFNHR0Vy8eJGgoCA1ht0mxMbGMnPmTOLi4mTijFific3hjh074unpibOzM1lZWURHRxMTEyOr4RcVFeHr68uzzz5Lly5dKnwtQvzl5eXFY489xsKFC8nIyJB2uHfvXgYPHkxQUFCFxrKyCHTF3JCXl0d0dDShoaFyXldULdZjZ1JSEgAxMTHSN3F0dMTNzY22bdtSp04devbsSWBgIA0bNqR58+YUFBTg6uoKFO8qKjbugoOD2bdvn1y3ms1mMjIyOHXqFC1atLhhn7c0ga7wj7QC3aysLGbPni0/n+LmQDuX/vDDD3z22WekpKQUKyRoS5w7bNgwVqxYwYULF3QJxIWFhaxfv56AgACaNGliN2EulFzMUMwPtWvXtsefRXETIey3b9++fP7552RmZupiiSdOnGDNmjU88sgjNt8v5usBAwbwySef8PTTT+sEusLmioqKCA0NJTQ0lJCQEPr370+/fv1kEpK4jpSUFC5evMjy5csJCwsjOjq6WGzTzc2N1157rVqSnRVXiYyMZPz48SQnJ+Pk5CSFAtrkXuGnw9WOEBaLhejoaDlWubi44OjoSMeOHfH19aVHjx40b96cgIAAAgMD8fHxoW/fvvz0008y9m6xWIiPjycpKemGjlfXE+gK24SrXXy0CW+K6iMyMpKHH34YX19f6tSpQ/fu3WncuDFNmjShdevWWCwWGXO3laQO2PSXvby86NSpExcvXtQVt0hJSeHMmTP06dOnyj9beQW627dvx2Aw8OKLL1K/fn0VN1IA1/wVHx8fXnjhBfLz89mxY4dOoAvIgkcxMTF8+OGH+Pv7y871FaGwsJD9+/eTn5+vOwdA8+bNK//BFNWOm5sb06dP56+//pJrSxGrOXv2LB999BFz587F3d1dFoS5fPmy7DxmNptp0aJFpdd6Pj4+TJw4kfPnz7N9+3YZCxMx0oMHD5KWloaHh4c9PraiGihJoKst/mNvge6NFOYKBg0axAcffMD//d//4evry/jx4xk1apRKTq9mLly4AOh9IKPRSOPGjbn33nuB6tlDbtKkCQ899BDR0dHs379ft3fq4ODAlStXWLBgAV999VW5vgu2BLpaQfIDDzyghLnViDbuPmHCBJKTk4Gr3fGcnJxo164dXl5edO3aVfrdQUFBMg9Ei1b8A/qiLtpibMIXunTpksxxqmp7L69Ad8eOHcDV8bi0phqKWxN/f3+5thSxxb1799KrV6/r5mkIga7FYuHvv/+WdqXtJioes1gsPPjgg3zwwQeAEubeTIixMzIykjFjxlC3bl3q1KlDcHAwjRs3pnHjxrRp0waz2SxzisoTP/L29qZDhw5ERUXJQkEmk4mkpCTOnj1Lz549q/wzVkSgazQaefHFF/Hz81Pxo2pC2GZ0dDQbN26kdevW1KtXjzZt2lBYWFgsF6mswl3xOpEHqc2DBzh69CijR4++IePY9QS62j1WJdBVKGoWapWjUCgUVYDWObFORr/rrrtuWDJ6UFAQzZo1k50eHB0dyc7OJjMzE19f32KvL02YqxWpiU4m4nOKxeCePXsAlED3FkYbINd2M9V2GxOOiXBOtGJdi8VCrVq1GDhwIHfddVexQKYWbeLlyJEjMZvNrFy5krCwMJ0DLDpWmUwmvvjiC3788Uf69etH+/btadeunUzMvHjxIlFRUaxdu5asrCzZ0VqbvAbw7rvv6jrwKqoXs9lMu3btiIiIoKCgQI43ooPu+++/T9euXSskzhW2rBVOChF5amoqERERtGzZskrGsgYNGjBkyBD27dsnxWni34kTJ4iKilIdJG4SHBwc8PT0pF27dsTGxgLIzbbIyEiuXLlCq1atyn3M8gh0lyxZgsFg4K677qoygS5c+87Y6tLm5OSE0WikdevWtG7dGlDC3BuBxWLh6NGj/Pbbb/z000/yce3mn9ls1v0M+s1wuFZxXyTgHDx4kIMHD7J//37GjBnDnXfeWSEhWHk75lZGmCsQAl2z2cyKFSu44447mDJlCn379pV/M7VGrXqEL6RNSD927Biff/45QLUKdIVNtmzZksDAwGKCzLy8PD766CM6d+5M3bp1q+UaFTeO1NRU5s+fz8WLF3Xzr8lkwsvLizFjxtC7d28p7hdERUVx8OBBVqxYwblz5ygqKuK1117jjjvuACo31ojxLzg4mMDAQE6ePCl9n0OHDrFlyxaCgoIqdfySBLpav79JkyaMGjWK4ODgCp1HUT60cSTt2GkymaQPJGwzMzOTQ4cOYbFY2Lx5M3A1ubdx48Z4eXnRs2dPvL29adOmDY0bN8bT0xM3Nzfpf4tCVMIPEYlC6enpN/xzX6+DrjYGlZCQoIS5NxnaTW5tDAmQ4nC4Kp4V600tjo6ONG3alAsXLug2wU0mE3/99RetWrXi3nvv5cUXX7SLMBeujcHWa9H8/HzZqVJxe9KmTRtmzJjBRx99JP0nkcxx7NixEsW51gKxTz/9lOeee07aqDYxXiQh/f777/z999/4+voSFBREw4YNycjIkHGGCxcuyO+DtmOqiG0uXLhQ+j+KG8/FixeZOnUqycnJODs7y/tiLbDSPq6N84hxrKCggPz8fA4cOIDFYmHjxo3AVSFNixYtaNKkCfHx8bpuJCIpKDc3V16PtouA9jrsTWkCXRGDGD58OO+//77uuhTVg+jsnJmZSW5uLpcuXSIkJAS4ei/9/f1xd3ena9eu1KlThw4dOtC8eXO8vb2pV6+ezdig9p4KgauIQ4l5/EZ1mBCfo7wC3bS0NBYtWlTpQnWKWwcxLvv5+fGvf/0LR0dHtm/fTlZWlq6AtRi7L1y4wMsvv8zrr79Ox44dcXFxKfO5hL2ePHmS5cuXU1BQIO3UYrFwxx13MHr06Cr8tIobhdlspnnz5syaNYtFixZRWFgo/XKAXbt2ERQUxNixY+VeaExMDHB1PHVycmLUqFHS/6nofGqxWAgICGD27Nns27eP/Px8aXOOjo7ExcXx008/8dxzz6mY+k1MWQS6RqPRLgLd0oS5QJUIcwWDBg3i66+/5vz584wcOVIlpVcjZrOZnJwc/vrrL+BacXTxXNOmTWnSpAlgW6hTlYixLDg4mOHDh3Pq1ClZGFN0O3VwcODEiRPs2LGD/v37l2v8sxboipim8oOqF23cXQhznZycZAEMQAq1f//9d+BqsazmzZvj5eVF79698fPzIygoiCZNmuDk5EStWrV0dmE0GmnTpg1t27blxIkTuj35S5cukZeXd8PGpbIKdB0dHcnKymLjxo1069aNCRMm3JDrU1Q/wj66deuGo6MjBoNBzs+RkZFA8di4Lby8vJg/fz5OTk78/vvvxeJO4v+AgAApzM3Pzy+Xj6SoPqzHzoyMDHJycjh//jxHjhwBrt7jgIAAPDw86Nq1K97e3rRv357mzZtTp04d/Pz8dHOethmEWB/Ur19fl7ckcjZE1/EbQXkFulu2bCEtLY2PPvoIT0/PG3adiqtoC2489NBDci43Go0EBQVRq1YtevToIYv7tmzZEgcHB7y9vYutS63tUTzXoUMHPDw85LGFr56QkABwwwoMVKSD7sSJE1VcU6GoZpQ4V6FQKKoAo9FISkoK06ZNk4GdkJAQmYx+IwS6RUVFuqQxEVBMSkri0KFDxaryXU+YKzbS77vvPho0aMCaNWvIyMhQAt3bCG1S5fLly2VSpXA4RLDG09MTX19f+vbti6urK0VFRezdu5e0tDTi4uLo0KEDU6dOpXbt2tcNZms3hkaNGoWrqyurV69m37590sGw7jKRlpbGhg0b2LBhA05OThQVFeHi4iKrWYugujYpSVz7kiVL6N+/v/y8yn6rn2HDhuHi4sLXX3/N8ePHpTC3oKAAgBkzZtCuXbsKHVvYs7+/P4AuWchsNpOYmCgft+cmibCt++67j++++45Lly7JBA6AtLQ0UlNTlTj3JkMIxMW4IipOi+4o5aU8At1z587JQEtVC3StEddj6zuiNherlqKiIr766iu2bdsmEyi186JYv1lvgFj/LGwWKFYsQIi/f/75Z1588UXuuusu3ftKmyevJ8zVim3sJcwVODk5MXfuXFq2bEm9evWUMPcGI7ox//Of/9QlpBsMBkJDQ2uEQNdsNuPp6ckzzzzD448/TnZ2thRDODg4EBcXx59//ik3o5Xd3JqYzWY2b94sx1Ct+NHPz08WgRHzqsVikdVWAwMDCQwMpGvXruzfvx9fX18GDhwoX2cPm2nevDlPPPEE//d//6cTKy5ZsoTOnTtXqqCQLYHuunXrSE9Pl8LccePGMXr0aLWxeAMQc6ZIXtQKc0XxIKCYuEfbia6goIAzZ84AV7vbwNUiRG5ubtSrV4/u3bvj7+/PwIEDcXZ2pnnz5roOFgCnT5+W59EWaavqMbAkga6rqysFBQUUFhYycuRIGYNQ8/nNg7hPv//+u0zA0a4FRXGYzMxMDh8+TPPmzXX31t3dnccff5y9e/eSl5cn4zgODg5kZGTw+eefs2LFCqKiouwizIWr9lVQUCAFb3BtzKxfvz5eXl4qkfI2plu3btSvX5/4+HhpjxaLhV9//ZXBgwdzzz332HyfNsFn0KBB/Oc//+Gdd97hypUrstChiAuJMdFisRAXF0dcXJzNY2oLHon3uri48NFHHzFgwABAjZfVQWZmJpMnT5YxRRG/hGv7M2KOFSJvuGYj2mKX2vsnYkyFhYWkpqbKglpa29J2mPjiiy/o378/QUFB+Pj4EBgYaLMrgPYc9hjbrAW67733Hi+99BIpKSmMGDGCBQsW2O1ciopjXQxGiMKEjRqNRuLj44GrYnO4OhcaDAa8vLxo06YNderUoXfv3jRo0IAmTZrQqFEj+V6A7t276/aNhJ2FhIQwdOhQu8R+ykJZBLoicT4nJ4cGDRqoBDZFMcTcXLduXV566SVcXV3ZsmULqampuudFkYSzZ8/yr3/9i8mTJ3PXXXfp9nmsxz/t7waDgdOnT/Pss8+SlJSkWzfXrVuX4cOHA2p+r07sNXaJe967d286d+7M4cOHdfs+MTExrF27lsDAQN36UiTdOjo6Uq9ePd2xKoIY/9q0acNzzz3HggUL5PpErEmioqLkaxU3L6UJdLW+eWUEutcT5oqYK9hfmCvo27cvvXr1Ut34qhlxP1NSUgB0c6TJZGLQoEGA/cbU8qBdG44aNYrw8HBWrFihK2hkNptJT0/n6NGj9O/fv9zjX8+ePVm8eDGzZ88mOTmZhx56iHfffRdQflB1UFJBzMLCwmL+uLaItclk4tSpU8BV4S5cLY5Zp04d6tSpQ5cuXfDx8aFXr14EBARQv359nJycijVJMRqN5Ofnk5ubS61atW7YOu56Al2RRwdX87GUMLfmIMZGbUdbsO/4IWywcePGuLi4kJ2dLYsGnj9/nvz8fFmYvySEfXl5edGuXTt+//33YrYtXhMbG8sLL7zA/PnzcXFxqZbxX1E+rldMWBs/EkWEzp49C1z1WRwcHKhduzbt2rWTY2WDBg1o1KgRDRo0kAUCALkvCNf2QEUxzIEDB1ZL/Kgkga7wn7Kzs/H391f759WAtWg8OzsbNzc3mZcp7PDo0aPAVXv09fXF3d2dLl264O3tTZcuXWjatCm+vr74+vraHOtcXV1xdXWV46NYyyYmJt7w7t9l6aAr8qg//fRTWrduLXNWFApF9aAiEgqFQlFFaBPNRYWVsLCwGybQFY5zv3792LNnj64bSlJSku61ZRXmDhkyhI8//hiAwsJC1q1bR2ZmphLo3iaI+/jrr7/KRBprYe4dd9zBQw89xD333KNzQjMyMggPD2fVqlU88cQT1KtXr8yBR61A9/7778ff35+AgAB++eUX6fAUFRXpKhlpO0aIJHqt2Ei8Vhy3bt26vP3220qYW8MQ92fQoEGYzWa++eYbwsLCZGLbc889x8yZM3WvrcjxAwICgGsJt2Lc+/HHH6XN2RNhW3Xq1MHLy0uXjCcSiquja5WiYgg7atOmDXDNjgBycnI4ceIEnTp1qtC4crMIdBU3HpPJxCuvvMLmzZvJyckB9Lan/V1sJGpFuOJnbUKPGP/E82IuzcrK4ty5c8ycOZN58+YxZMgQ6tevrwtQW1OWjrlVJcwVODk58eijj+o+s5rbbwxGoxFXV1fatGnDuXPnZOdDYRM1QaArrqVJkyZ06dKFPXv2yO+MtrL7+PHjdWtRxa1FYWEhmzZtIikpSZd44evryxdffFGsAIzBYJD2KsaU5s2b06RJEzl22Wus0Qp4xo4dy48//khhYaEcRzds2ECrVq0q1cHRlkB35cqVBAQESGGu6jJxYzAajVy6dIkRI0aQn58vN9FEkox2fhbzr/hd/CwK/Wg7LxYUFJCTk0NycjLh4eEA/O9//8PJyUmKhrRCoMjISLmBKSqmC6yrQ9t7TrUW6E6bNk1ey/Dhw6UwV43HNxciHvP3338D14RpcC0x19XVFZPJJAuqWb+/ZcuWjBgxgp9//ln6ziIxKTU1ldTUVF2nycoIc8Xrzp49S1hYmPzOiWvu16+fLMqkuD0JDg6mb9++rFmzRo67Ym7etm0bffr0wdnZ2eY4pfWf7rrrLmrXrs2yZcvYv38/qampOl9Ja3daEbA27ikSoERRwiZNmjBv3jzuuOMOQPk/1UWtWrX45JNPcHBwYO/evaSmphIeHk5MTAy5ubmkpKTIODoUF+xqY9YC7f6M1ga0icTWFf7//PNP/vzzT+BqAnGbNm3w8vIiODhYJg63bNkSg8Eg13vCbrWJ6bYEvddDe339+/fn9ddfZ9++fbzxxhu64yuqh8uXL+u6RWkTH4WIVtiftb2ZTCaSk5Pl/p/o5lynTh0aN25M/fr16devnxS4Ojk5yS7OYkwTBQeqcl1pzfUEuiIeP3z4cLk3qsZQhTVivenr68vzzz+Pt7c3v//+O1euXAGu2bRYk0ZGRvLJJ5/wxx9/MH36dHr06IG7u3uxsVb8fvHiRUJCQli0aBEJCQlyXSDmia5du8qiico2bzzx8fH4+PjIcdNeibjt2rXjoYce4vDhw3I8gqv2ER4ezrJly/D19cXR0RE3Nzc5TteqVYtatWrZZU4V72/bti3u7u6yKzRcHQv37t1LVFQUDRs2VPP3TU5JAl1tvkRFBboiZnTlypVqE+YKlDC3ZnD+/Hni4+PlfCbWkgBNmzYFytaVsSrQ2vyzzz7L6dOnOXz4sHxexMx//PFHhg4dKvf/y0OPHj1YsGABW7Zs4fXXXweUH1QdCH/28uXLjBs3jpSUFJydnWXumDbGLhB2qo21a4tjxsbGEhsbK4W7X3/9NRaLhbZt29KtWzeZIyeOb7FYSEpK4tSpU/j7+xcrjlWVPlFpAl0RP1Vdnasfa9+zsLAQBwcHsrKyyM/Px8/Pz2ZsprL3y2Qy4e7uTkBAAOfOnZPHvHDhAlFRUbRo0aJM17xixQo+/PBDAF08QfwOV79H69evp6ioiIULF+pyWBQ1D21XUuv4kXUDHOt9SfF7fn4+iYmJ7NixA7iaZwxXG140bdqUgIAA+vXrR0BAAN7e3hiNRpkHKuJHomhcdcWPrAW6wtdX8aPqoyTRuIg9CrRzt8VikbZ06dIlWfzXYrHg4+ND27Zt8fPzo1+/fvj5+dG8eXPq1q1Lw4YNuffee1m9erW0a5PJJMfIZs2a3dDPXppA12w2y+/k0KFDlTBXoagBqKiEQqFQVAFFRUV4enrSo0cP1q1bB1xzOm+UQFecT1ROFVX4Afbu3cvEiRPlxl5ZhLlDhw5l0aJF8vgvvfQSDg4O/Prrr6qD7m3EwYMHWbp0qayGBdec7uHDhzN37lzpOAsnoKioiNq1a9O7d2969uwpN5PLE2jRVm4NDg6mWbNmtG7dmnfffVcmKwsnWGu31oEB4UiLTaA6derQuXNnZs6cSffu3QHlONcktPf9vvvuw2g0snTpUsLCwpg9e3alhLni+AB33nknS5YskcnAIqiSkpLC4cOHuf/+++0ejBbfj5YtW3L06FFdkrLZbJbBA2WPNR9hF2IzUTv2ALIgRkXvoxLoKqwxmUw8+eST7Ny5U7epoe3+bTKZ5Jji6+uLp6cn3t7eUsSVmppKYmIi2dnZJCUlyXlSu1GuTQAXx3zvvfeIiIhg1KhRBAcHlyjQFd+LlStX6oS5IoHI0dGxSoW5tlBj6Y1D2ETdunWBawnn2rm0Jgh0AerWrcuwYcPYs2ePbn0LcODAAb744gueeOIJtSF9i/L9999z4MABuaFnMpnw8PBg3rx5tGvXrtR1mPZx7dhlr7FGe5x+/fqxbds2KaYUAqDRo0fj7e1dqfHTWqDr7e1N7dq1GT58uBLm3kAsFguhoaG0adMGZ2dnTp8+LTvGwjU/Fq7dM203B+3z2uQHrbBLHCc1NVXnF2tfc+jQIUaMGCErB4suAA0aNMDHxwdPT0/deCi+I/bylbQC3W+++YaJEycyaNAglSB0E2MwGEhISGDr1q3FilIVFhbi7e3NP//5T7p27Ur79u1tvt/d3Z17772XLVu2kJSUpCumIRD2XFlhLkBWVhZr166loKBAro2FWL1Tp07yfGptefsh5tvJkydz+PBhIiMjpYjWYrGwdetWpk+fTuPGjUu0Ea3/1KVLF+rWrcv+/fv58ssvuXTpEoCswq6NcWoRiSXajs4DBw5k1KhRsrCIstHqpWvXrgByzCgoKCA3N5ekpCTOnDlDRkYGBw8eJD4+nsuXL5OYmCgFXaAvpmXdMQUo9jqgWIxI+PFFRUXk5eVx7NgxALZv3w5cLSxbr149XF1d6dq1q0xGatGiBbVr16Zu3bq6pDdtgRDrx2yhfe19993HfffdJ69dzeXVhzZ5TazhtGOOQHu/be2viP/FeJSZmUloaCihoaFs3rwZgNatW5Ofny+PKd6XlpbG2bNnadmype5xgVYcbuv5imJLoGswGDh48CAmk0l1dlaUiHasE/Etb29vZs6cSb169VizZg2nTp3SCSxE8nx6ejqHDh3i0KFD9O3bl3bt2jFw4ED8/f1xcHDA1dWV48ePc+bMGdatW0dMTAzZ2dm68d9kMtGkSRNeeOEFVSSmmrh8+TKDBw+mefPmrFu3zm4CXWFbo0eP5ty5c3zzzTdyjSfm8P3797N06VJGjBhBYWGhHIu1HavsRc+ePenVqxdbtmzRjcE5OTnFYqaKm5fSOuhWRqDr4OBAXFwcQ4YMwWQy6QQcYl8Iql6Yq6g5aOPYWh+ldu3a+Pj4VPv9F+d2cXFh8ODBhIaGYjabKSoqknHX/Px8kpOTK3yOfv360a9fP0DZe3VhMBhISUnhiSeeICUlBUdHRyn+EpS0L64V7loXMdLeS9Gx7vjx44SEhOj8ZXENFouFbdu2ceHCBdq3b0+DBg2oU6dOsVi7dj1pzw6pWoGu+C4ePnyYYcOGqbh7DUDYzNatW7l48SLbtm0jPT2d1NRUCgsLadSoEbVr16ZHjx60b9+ezp07U6dOnUrfL0dHRzw9PencuTPnzp2Tc7boDNmiRQubcZ/rNf8RsQJr/8hgMLBp0yYAJdCt4ViLH7X3URuz1o4v2phSafGjtLQ02dFUFHxr166dHGe19pWSksL58+cJCgqyKcy9EfEjIdA1Go0cOXJExY+qGaPRyIULF5g2bRrJycm4uLjY3EfXxtmtCxCKn4uKikhOTmbXrl3ANQF548aNqVevHp06deLcuXO6ed3BwUHubQqqYu4u7fPbEuiKgt+q4IZCUXNQ4lyFQqGoAoTzKKqkaDfj4MYJdOHqJnitWrXIzc3VVacWi0ZBWYW5wiFycHCQ3XWuJ9CdPXs2HTt2rLLPqLgxZGRk8NdffxEdHQ1cSwYDGDlypOxkI3BycgL0yeriO2AdYCnNWRZ2pX3O19eXKVOm0Lp1a9atW8eePXtISEiQz2urC4vziYA6XLXjli1bMnXqVHr27ElgYKC8DpW8VrPQBj4GDRpEfn4+JpOJkSNHAsUdyvIG8CwWC56entRQlOkAAQAASURBVPj7+xMZGalL9M3IyGDNmjXcf//9dnemxffD1dVVfg7xv4ODA76+voASk90sWCwWPDw8AKRAQiTPxMTEyMcraj/WAl2LxcLKlSuVQPc2xGQyMW3aNA4dOqSrEikQm4ReXl4MHjyYrl270rt3b+rXr1/M/kwmE3Fxcezbt4/Q0FD+/vtvUlNT5fPaQLsQJZhMJn755RdSUlLIzs6mf//+JYpyli9fzvz58wF0CRjVIcxVVA/9+vVj2bJlOhutSQJdMXY++OCD7Nq1i02bNsnvlEi43Lp1K3379lW+zC2G8D1OnDgB6JMp2rdvLwUV9lqHVbTrmGDgwIFs3bqVX375Bbg6jiYlJTF//ny+/fZbuQapKFqB7hNPPEFBQQEuLi6VOqaifBgMBoYPH87w4cMBiImJIS4ujitXrnD48GFSU1M5efIkWVlZ5ObmyrlZoO0aqi0UY70xrrVpsfkoEDGiyMhIIiMjCQkJAa4mqZnNZurVq0ebNm3w9fWlT58++Pj40LBhQwICAjCZTMXG8IpW/9cKdDdt2kTz5s11x1NUHWlpaXh5edndB71y5Qp5eXmyM4UQ0fr5+fH111/TunXr6x6jf//+TJo0iUWLFulEiXAtZiDWmitXrqRbt27lTsoQ35cLFy7IeKZIyDSZTLRr144HH3ywXMdU3FoIf6VBgwa0aNFCF0MSc/Nnn33Gm2++Weq6Vms/DRs2ZPTo0QwePJj//Oc/hIWFcfjwYWnP2gQj4VOJ5/z8/AgKCmL27Nk0btyYOnXq2DyHonrQjkGOjo54eXnh5eVFUND/Y++8o6Mqtz78zEwS0gjpldB7CaF3QUQQEBApgoCKoCLFjteGDaSoKB+Kil5AehFsXBEbUpUWaighQCpppPcy5fuD9b45ZxIgQCqcZy0WyWTmnDNz9rxl7/3buzEAY8aMQa/Xk5qaKgW6Bw8eJDU1lbCwMBITEzGZTKrCW1B6p13lOZXzvjIZTvwTY5rJZCImJgZAJmEKMYaTkxNt2rTBzc2NLl264O/vj7e3Nw0bNpQdz8Vx4dqddkuzQ20ur1p27dpFx44dSUxMJCUlhdTUVCm6Eoh7qezmfa0kdWubUwrJw8LC5GNClGGxWDh48CBPPPEEDRs2xMPDg65du+Lm5kbjxo3x8/OT3SFL8yNYFxu+WUoT6KakpNCiRQstsVKjVIQAMyMjg9zcXPz8/OSeq3bt2owaNYpGjRqxcuVK9u7dq9p3WRc8/Oeff9i/fz9r1qyRY6WdnR0ZGRmqc1oLc11dXfniiy9kDFOjcrl06RJPPPGE/HnixImsWbOmXAS6Sp/69OnTSUhI4Ndff5X3X4yff/31F+np6bIYNlwdg5UFEG4XsW/39PRUPS78+GlpaZXeGUij4qgogW5OTg7Ozs6kp6eX2MOAJsy9WxDzX3Z2NlA8jgibcHFxwdPTs9rcfxsbGwYNGsSKFStISEhQ7WXy8/P5+eef6dq1KwaD4bb22dXl/d6NuLu7s3DhQoqKioiNjeXAgQOkpqZy5swZMjIy5F4Fivfxyn239Z4b1MUxlb5vpRDdWsi7ceNGABwcHNDr9Xh5edGyZUvc3d3p2rWr7NLn7e1d6hh5O512rYtn5eXl0aNHD6ZNm6Y6tkblk5GRwYEDB/jxxx/ZtWtXiSJsFotF7hf+/fdfAIKDg2nZsiVPPvkkbm5uODs739I9FDYh1n/CbvPz8/n333/p3r37NV8D184xtlgseHp6kpiYqLJbcQ5NoFsz+PPPPwkKCiIpKYmUlBQyMjLIy8tT+Y+EjYo9rHVcsjT/kbIIsfAfnTlzRj6mLFb5zz//8Pjjj9O0aVPc3d3p1q0bbm5uNGzYEF9fX1nwqjT/0e122i1NoJucnEzr1q01/1EVkpmZyeTJk2UnXOWe2Hrutp7br1eAUPgajUYjsbGxREdHc/z4cVlsSHmfc3NzWbp0KUOHDsXLywtfX198fHyuO3eXp4BcKdBdtWoVTzzxBIWFhYwYMYL58+erzquhoVF16CzWZZc1NDQ0NG4bsUDfsGED7733XomFlljwtWnThqlTp1aoQDc/P5+HHnqIyMhImYDh5ubG6tWrZZLjzQhzRaBJbJBNJhMffvihFOgC0mkvBG4vv/wyTz31VIW8P42KR9jzkSNHmDp1KtnZ2apgysCBA/nwww+pVavWTYlbrZ8rbCohIYGioiJq166tSiy7VmX+zMxMUlNTWbZsGbGxsRw+fPia5zQYDNx///20aNGCCRMm4OzsfLMfh0YVcb2NrEDpuDt06BBNmjQpczXxr7/+mk8++QRQV8wym808/vjjvP7669e8jltB2PCcOXNYt26dKolNp9Px3Xff0aZNm9s+j0blkZmZycMPPywLGMDV+9ysWTM2b94skxdvB6WNv//++yqBLqgTI5s0acLMmTM1ge4dhNFoZPr06ezevVvlVFSKaBs1akTHjh156qmnqFevnur1RUVFch0nqpcriY2NZf369Rw9elRW91UeXylYBOjcuTPjxo1j8ODBQMl53Xp9Kc6pCXPvHs6dOyeLaSgDLspAtcViISgoiKlTp1ZpB90ffviB+fPnk5OTowogAsycOZPp06drRVzuMCIiIhgxYgT5+fmq4PCbb77JxIkTb+vYZV0vlsWmxLFSU1OZMmUKZ86ckQlztra2PP/880ycOFEbR+8AlIKW0mxIFMaIiIjg/PnzpKamEhISQnZ2NtHR0apKvcox91rV/8U5ratRKwONIrBeVFSkOqbA09MTX19fPD096dChA3Xq1KFVq1b4+vri4uJSQuR9MxWEldekBRIrnsTERHbs2MF9991H3bp1b2vOs75f//77L5MmTVIlabi6urJy5Upatmx5w/ur/Pvbb7/N5s2bAVQCXbhq915eXvz22284ODjc0nvIyMhg6tSpHDt2TJUg4unpydtvv82AAQO0tetdjrCr0NBQJkyYINcRYnxt3bo1X331FV5eXmUeu4RNmc1mcnJy2LVrF2FhYezbt4+8vDzi4uIwm824u7tjZ2dHy5YtCQoKokePHrRs2VKzxxqK8r5b20l2djZpaWkkJiYSGhpKRkYGR48eJSUlhfj4eHJyckocTxl/utb8LrBeB4jnCiFYaTg6OlK/fn2cnZ3p0KEDHh4eNG3alEaNGuHo6Ejt2rXL5XPRqBxycnIwGo2yKEtKSgoHDx6UXW2FmAJKritFkQxlpxS4vo1Zv760daWLiwuurq54eHjQtm1b6tSpQ4cOHfDx8cHb2/uacZzbSUKGqwWbRDEubc2poUSM0zExMUydOpUuXbowZcoUAgICALW9ZGZm8tFHH7F161bpW1DaO6Aaa8WaWFloQbmeEN+PunXrsmzZMlnYQaPyeeaZZ9i9ezd2dnaYzWaMRiPBwcHlJtBVcuTIET799FNCQkKA4gRh5Z5HuUd55513GDduXLn6Kzdt2sQ777yjigdYLBa+/vpr7rnnnnI5h0b1wWw2Exoayvz58zl27Jgc05RF000mE61atSqzQDcsLIznn3+eyMhI7O3tyc/PBzRh7t2EuL9iPBExQUFgYCDff/99tdk/iOtdsWIFH3/8sbR7Mf517dqVVatWVfVlatwi1xtvUlNTycjIICIigjNnzpCWlsaxY8fIyckhISGhRBEMMdeKtZy1r906H1T5OuX+6Hr7bk9PTwIDA/Hy8qJz5864uLjQvHlzvL29cXR0LJFroszZLItvqLQ1gzYmVx0JCQl89NFHHD16lPj4+BJF1ZT+GkDajnisQYMGBAcHM2nSJFXxy5tdGx44cICnn35adpo0m82MHj2aOXPmqJ5XFmGu2Wxm8ODBzJ8/n//85z/s2LFDvidrofvgwYP5+OOPZe6J5t+snmRnZ1NYWEhkZCSRkZEkJydz+PBh0tPTuXjxIrm5ufK5leU/qlOnDm5ubnh6ehIUFISrqyvBwcH4+vri4eFRoqC1OPbt+I8sFgunTp0iKCgI0MbOqiIvL48zZ85QUFDA0aNHycjI4Pjx42RmZpKUlEReXp7q+WLsuVGcXGA97ipj9uLv4nHxPE9PTxo0aIC7uzudO3fG1dWVJk2a4Ofnh4ODQ4k4+fViAjeDeP2+ffvYtm2bJhrX0KhmaJ1zNTQ0NCoAsRjz9/dXiSeskyIquoOuCJz4+flJca7JZCI5OZmYmBgaNWp0S8JcUHfxs+6gKzY1ZrOZYcOGacLcGo6obrl48eISwtzg4GCeffZZuZm42Qp9AElJScTFxbF69WouX77M+fPnycvLw8vLi7p163LvvffSr18/mjRpokoaEtSuXRsXFxfmzp2LwWDgyJEjpKenc/78eQoKCtDr9Tg7O9OqVSvc3Nxo0aKFfK3m5Kk5lLZ5vJYw9z//+Q+//PILb7zxBoMHD1aJvK0RNtWtWzcaN27MxYsX5RgmqqBu376d5s2b8/DDD8skidsNdouNf3h4uOpxGxsbmjVrprJTjZqB6Oxg7byxdgDdDsq59+233wbQOujeJZjNZt599112796tcmIrhbn33HMPEyZMoEOHDqoqqcIulGJc8bPSGV23bl1eeOEFsrKy+Oyzz/jf//5Hdna2dFgajUY5NppMJg4fPkxhYSG2trbcf//9Jda5EyZMoFatWsyePRuj0YiDgwN5eXmaMPcuwWw24+vrS6NGjYiIiFCNU0oBGlR9B12Ahx56iO3bt7N3716Z6CZs/bPPPqNTp0507dq10q9Lo+JITU2VFVTFWCQEL3BzAWzr5xYUFKDT6Thx4gTJycmkp6dTWFiIq6srLi4uBAUFYW9vr0pCulawRDzm7OzMAw88QEREBIWFhbJz3p49exg2bBju7u5awKWGo9znKhMixe9ubm64u7sTGBgok2Jzc3OxsbHh4sWLXL58mZiYGLkfDgsLIy8vr9Tq/8oCHNZBb+V5AZlAV1oF4dTUVJKTk4Grndjg6v7cYDDg6+tL69at8fT0pGvXrnh4eODj43PNvZn190j5s2bXFUt8fDwbN25k+fLlFBYW8tRTT93yfldZdC0nJ4fGjRvj6OgIXPUrinv58MMP06xZszKNW0o7nTp1Kmlpafzxxx+qIDZc3SslJSXx4IMPsnDhQtq0aSOT1soypsfFxfGf//xHJcwVoolu3brRrl07eR6NmsX1CrvdLGLv1LhxYwYMGMC2bdtUY+jp06fZtGkTM2bMKPPYJexNr9dTu3Zthg4dytChQ5k5c6a0a5PJhJubGzqdTnZZudb706gZCBtUFsQQduDk5ISzszOBgYF06tQJuFqA1cbGhpiYGCIjI0lKSuLff/8lPz+fXbt2ldoZQjn/ixiVGDOVfxM/KzuSi/9FUmh+fj5nz54FkIUx7ezscHBwoHbt2rRr1w5PT0/at2+Pvb09ffv2reiPUOMmUc6Fjo6O6HQ6goKCZGLhhAkTsLGxITY2luTkZCIjIzl27BipqamcOnWK3NxcmXRpXRxDaWOlicTF84Q/XPyuXFfm5OSQmZlJdHQ0x44dA6BWrVqYTCZ8fX1p2rQpXl5edOvWDXd3d+rXr4+Pjw9Go7GED+FGnVKU/ishzFX6KDQ0lMLcCRMmkJiYSEZGBo6OjowbN466deuq1qguLi7MmTOH1q1b88cff7B//36ZiCy+A9ZdzZU/W/vMXF1dadeuHW+++WaJ4osalUvbtm1lV2ThIz9+/Hi5dtAVBAcHM3r0aDIzMwkPD1cJJOGqfSjH0YsXLwLl031HYN0JS4hAtNjSnYnooPv666+rBLq300G3efPmLF68mJdfflna6KxZs5g8eTKg7V3uBsT9VTZ8AHVx6cLCwmpjC+IamjZtqhJeiPViSEgIkZGR1KtXr1pcr8bNUVrhf/G4q6sr7u7uNGzYkH79+gHIIkUXL14kNjaWhIQEKUITvnbl+k2s88S4qSwkqPy70tcu/i7WkmLcLSoqUvnaf//9d+CqCM3BwQEfHx9at26Nm5sbHTt2xNvbG19fX5ydnUsdl0vr1lfamkGz66ohJiaGadOmyVwx5bij3G8LlOtA8U+IJX/77TdefPFFevbsSePGjW9ahCjiNUrfvfAFCF9kWYW5gwYNkg0x3n77bcxmM7///nuJDrp6vZ7t27djsVi0DrrVEOW4IXyU7u7udOjQAYBJkyZha2tLdHQ0iYmJREdHExISQmpqKqdPnyY3N1cWOLhV/5FSoA7quGR2djYZGRlERkZy5MgRAOzt7TGbzfj5+dG8eXM8PDzo3r27jKn6+PhgMpluuiu58vsk/Gea/6jqcHBwoGPHjgD06NEDuDp363Q6IiIiiI6OJikpSRYgPH/+PDk5OaXGyZXCXaXPXDlnK3+3jlkLn/m15m5HR0e8vLxo27atnLt9fHzw8vKidu3apdrQzXTaFdffq1cvevXqpXq9hoZG1aN1ztXQ0NCoQA4cOMCUKVNKVD5TbqwtlorvoPvZZ5+xdOlSuVkxm80sWrSIrKws3nnnHeDmhLlKrDvo/vjjj2RkZAAwfPhwrTLLHUJsbCyTJk0iNjYWQCZAzpgxg8mTJ5eo9HMtlA6VgoICtm/fzvfffy836OLYJpNJVtK0tbXFxcWFDz744JqJPTcrlizPSsIaVY/SrpSddPz9/ZkyZcoNBboC8VplIq5YKrdr146nnnqK/v37A7dnQ+K1eXl5PPzww1K0JMbnPn36sGzZsls6tkbVIJx1zz33HH/88YccI8U9FZ2Qy2vc0Tro3l1YLBZWrVrFN998Q0pKisoJLRzXQ4YM4Z133sHFxUW+5nbt7eeff2bbtm3s3bsXQNXtTBlg7NmzJ1OmTKF79+6lnnvz5s288847snLg6tWrNWHuXYToMCGwLiag3BNVVQddYYvnz5/n2Wef5fLly9LxLZLQ2rRpw8KFC7VuJXcQ69atY86cOarxzMPDg++++w5/f/8yH0e5z01JSeHMmTOsWbOG6OhoIiMjS32Nl5cXrq6ujB07lubNm0vRxY2IjY1l8uTJREVFqboOTJ8+nZkzZ5b5mjVqNtYVfa2TIwSxsbGkpaURHh7O2bNnSUtL4+TJkxQUFJCYmCifJ+b3G51D/CxQPqb0NZVW/V+sWfz9/WnYsCHe3t506tQJFxcXmjZtire3N7Vq1dLWBVVAZmYmK1eu5IcffiAhIYERI0Ywf/78W1qnKUUMgwYNwtPTk2XLluHh4cHQoUPJysqSa8nPP/9c7q1vlhMnTvDZZ5+xb98+oNg/JX42Go14eXnx6KOP0rdvX1l0AZBdoEXAXa/Xk5ycTGhoKEuXLuXUqVMqoaTRaCQgIIBFixYRHBx8S9erUbUIu0xOTub8+fMyaQNuf8/0888/y4KVyoSMVq1a8fHHH9OoUaNbPrYyIcg6Oci6CJPG3cH1Yivz5s1j9erVqjWBxWLB3t4eOzs7MjMz5XPF2G6dOAwlk+EEpRWEE0VuxJyvPNaQIUNYtGhR+b15jQpHmfRVmq2lpqaSm5vLhQsXuHDhAikpKRw9epScnBwiIyNLiLmUnU6UnSmsz6d8jXhceW5lxyDr13h6euLt7Y23tzft27fHxcWFNm3a4O3tjaura4l4lTLhUotTVh/KsuYsS1JieaJc0z766KNcuXKFWrVqUVBQgKurK6NHj2bMmDEEBgaWeA1AVFQUISEhLF68mJycHHJycuR4qYzDi/ckEoyFfXbo0IGBAwcyZMgQPD09K+U9a1yb3bt388wzz8jflWu+8uygK+bYwsJCVq1axbp160hISJDnVNqNsBV7e3uWLVtWLsUExfk//PBDVqxYIcddg8GAs7MzP//8Mz4+Prd9Ho3qSVFREWfPnuXjjz/m0KFD8nGlAOhmO+ieO3eOSZMmMX78eGbMmAFouUJ3G7/88gsvv/xyic53Dg4ObNmypdrFWYxGIxMmTOD48eMl9lU//PCDyrekcWdxLT+49d9jYmJISUnhwoULnDx5kvT0dE6dOkVBQQHp6eklxDzX863faN8tGgiI9YW1r13EhgICAmjSpIksYlSnTh0aNGiAt7c3er1eVbRbo/oQExPD+PHjSUpKKtE9sbT9s0A5h4q/C1+4wWCgd+/eDB06lCFDhshjlcW/n5mZycSJE6VQ2Gw24+npydatW/Hx8bkpYa7IMRZ5npmZmbz11lv8/vvv0p+kFLqJTrsfffRRuXSS1Kh4lMUFS7tfycnJZGdnc+HCBcLDw6X/KDc3l9jY2DL7j0qLfVr/rCx4aN1ZWomXlxd+fn54eXnRsWNHXFxcaNWqFd7e3ri4uFy34Jtmj9WTG83dgsuXL3PlyhUiIiI4fvw46enphIaGkp+fT3p6eonYuBiHlM0yrM8Lav+U0pcqfAWlzd0iJunn5ycLEHbt2hVXV1dZgFCn05WYu5VFiq9VaENDQ6P6oXXO1dDQ0KhArKueQfFCTbmIr6gOumIB6ubmpnrMYrEwf/58rly5Aty6MBdK76C7atUqhg4dqglz7yB2795NTEyMXOQbjUY8PT0ZOXJkmYW5UJwAtH79eg4cOCCrBkHxZls4Y5Qb75SUFKZNm8Zbb73FqFGjSnxHStt8KO3O2ga1zUr1IC8vj8zMzNsO6gq7euutt9iyZYtMto2Li5Mi1+sJdIV9vP7664SGhnLmzBlpL8LpcuLECTZt2oSTkxPdu3e/ZhJ8WRCv2bRpExEREaqNtKOjI4888ojqujSqP+I+iUr2SochXE1iK89xx7qDrk6nY926daUmTF64cIElS5ZgsVjo06ePJtCtgYSFhfHnn3+SkpIiH1MKc4WIQsnt2JuwrWHDhtGgQQMaNWrEqlWrVI5EZXGW/fv34+TkhKurKy1btixx7jFjxlBQUMCSJUtYtWqVJsy9SxBzWEBAAIDKiS1sRynQharroCts0c/PjwEDBrB+/XopehT7uYsXL7Jlyxaefvpp1d5Ko+YiCgNdKwmiLCjHsh9//JE///yTP//8U/5d2ZUXir8XqampXLlyhblz5+Li4sLIkSOZOHEi3t7e1wxAWywW6tatyxtvvMH06dMpKiqSY/LGjRvp1KmTLJKgcWdTWkEWpWALkONv3bp1ZTcwuCogt1gsnDt3jrNnz7Jo0SIZsBavU1b3V9qiGL+ViUY3U/3fbDaTkJBAXFwcAD/88AMA3t7ecn36/vvva13KK5nCwkJ+/vlnmfi9d+9ekpOTb1oIoBQxjBs3DqPRSEJCAq+99hqLFi2iQYMGHDt2DJ1Oh52dHd7e3sCtiSPbtm3LU089hcViYf/+/argtBCLXblyha+//prvv/+e8ePH07ZtWzp27KgKbIsiCmvXruX8+fMyIUopzLW3t+e9997ThLk1FGEb0dHRjB07luzsbB544AEmTJhA/fr1qVOnznWLHFwL8dxhw4axc+dOduzYoUrWOH/+POHh4TRq1OiW/UbW4rTS/qb5Nu8uSlsbijFPFJZRdnqoVasWzzzzDJ07d+b48ePExsZy+PBh8vLy5FxsLaxVFttQJkyK8wnEXC/+F7EluNoZfd68eRX0KWhUFNbdH0BdJMDNzQ13d3fq1q0ri6fm5uZiY2NDeHg4CQkJREVFcfToUdLS0jh79ix5eXlyPi3tfNcS7JZmd6V1SklLSyM5OZkzZ86wa9cuANl5wt/fnxYtWuDh4SE77QYGBlK7dm2KiopuKp6lUb5Yz7tir5yamkpSUhIAWVlZ2NraUrt2berWrYvRaMTJyalSrq80Ya6trS2FhYUYDAbS09NZv349OTk5vPTSSzg7OwPINaROp6N+/frUr1+fDh06cOrUKX788UcuXrxIQkKCqluLQKxP77vvPlq2bMnkyZMxGAzl0olV4/bx8PDAzs4Oo9GoyqMo7w664nthZ2fHxIkTSU1N5ccffyQtLa1EYRaxNy8qKuKXX36hSZMmeHh43Nb7FONsWlqa/F0IMiuzgKJG5WM2m7G1tSUoKIjOnTtz6NAhVZxR7I9vtoNuixYt+OWXX3B3d5fn0eLddxf169fHxsZGrt+UfsX09HSgehXT1+l0svixQKwBlMWONO48SvO1C8SeCCAgIIDAwECCg4MZNWoUAFeuXKGwsJCwsDCio6NJSEjg/PnzREREEB8fX2KfJfbQyj24dfdIcV5xPUpfuzXx8fFcvnwZgC1btgBXixi5u7vj6+tLu3btcHFxwd/fnx49emg5ItWA+Ph4pk2bRlJSkip+KAS2Op2Orl27UqtWLdzd3SkqKuLChQvk5eURFRUljyNeqyyctnv3bk6ePElMTAxTp04tcx6Gi4sLfn5+hIWFyTw7UfRVmcdXVmGu0WiUexwXFxf5GusOuhbL1Q6q27dvJz09neXLl2trhRqAMq+jNP+Rh4cHnp6eNGjQQBZnzc7OxmAwEB4eTlxcnOy0m5GRwblz58jPzy/hI1LGPq8l0lX6j5RdzcW1Cf9RSkqKzI//66+/gKu2aWNjg5+fH61atcLd3V36jwICAnB2dsZoNGp7oWrK9eZu5R7Gz8+PgIAAgoODGTFiBHBVQF5YWEh4eDiRkZEkJSUREhJCVlYWERERWCyWEr5MZU6vOIfyfIDsvnutuVvYbFxcnJy7v/vuO+Dq3O3h4YG3tzft2rXD1dWVdu3a4e3tjZubGwaDQRsfNTRqGJpXV0NDQ6MCEULDslRAqwiBrji2qPyTm5srN/dC4HE7wlyBUiQ0a9YsWrduzbBhwwDN2X6nkJ2dDair4Dds2BBPT88b3mOxMU5LSyMqKorFixcTEhIiRQ9Kx5Hy+yE2LUox0Ny5c3F2dmbYsGE3dNhfL5FNo3pw5MgRdu7cyTPPPIOvr+9tHevrr7+WTmdhLwaDgcTExBsKdIUz3MHBgWnTpjFv3jzi4uJUXfNMJhN79+7FYDBQUFBA3759r9lNoCzEx8fLCsTKDlOOjo7Ur19fXpdGzUCMR7Vr15aPiQQjs9lMZGQkffr0KVdBonLunT17NsA1BboXL17ks88+A9AEujWQbdu2ceTIEUDt5LZYLAwePFgKc8vLvpQJZUFBQQQGBuLj48OHH36ompOVnXZ+//136tWrR+PGjbGzsysxR0+cOJGHHnqI2rVra8LcuwRhq507d2bTpk2qNV6TJk3Q6/WcPXtWzqNVLdCFq4m8w4cPZ8eOHcTHx8s1ql6vJy8vj99++43g4GD69++v2XANxjpopxRiiaqlZUE5ln3yySesXbuWvLw8oOT+RhnEEXtvsUbIyMhgxYoVnDlzRla1tre3v2ZxoaCgIAYPHsz//vc/ea0ZGRns3buXLl26qL5PGncfpdmM0pZEwm6vXr0IDg5m8+bNxMXFyXWFyWTC29ubVq1akZWVRWhoqBwDQS3Cse7qCMX2rfxZ+MWUdikSTSwWC6mpqRiNRoYMGaIJc6sANzc3AgICSEhIwGAwkJOTw7lz5+jVq9dN7XWFAHLEiBHk5ORgZ2eH2Wzm7NmzPP/88zg7O6sE2yJB51ZFi506dcLW1hZbW1t27dolE5HE2GswGMjLyyMmJoYFCxbg5OSEv78/Dg4OMrk+Ojqa1NRU1XHFHCHG7UWLFtGrVy+geiWNatwYpTB3/PjxpKamYmdnx88//8zRo0dp0KABM2fOpHHjxjg7O9+UQFf53O7du7Nz50451om90ueff05wcLDWYUyjwhAJk3C1aIG9vT2FhYVyHs7Pzyc6Oppnn32WTp06AVBQUIDZbOb48eMkJiYSGhpKWFiY7Gih013t2AclhbfKNbSyi4VY05rNZoYNGyaFuVpMqOZT2rpSOU46ODig0+lo1aoVrVu3BuDJJ58EIDY2loyMDHbv3s2qVavIysoqsXYUCbnKrhTKBLZrrSut159KUXleXh5Go5GMjAzOnj0LwIoVKzCbzfj7+2NnZ8d//vMf7r333kr4BDWsUdpPdnY2oaGh7N+/nxMnThAbG0t8fLzq+QaDAX9/f2rXrs2wYcMICAjgvvvuK2FH5cW1hLlClCmuPScnh0aNGklhrsB6DdGgQQMaNGjA0KFDiYmJISwsjMTERMLDwzEYDNjb22NjY0OHDh3w8fGhRYsWqs9Ko3rQqFEjPD09SUpKkoWtxPhTEQJd0RH3ueeek4WUxBhqXQjebDbzxx9/0LFjR4YMGXLbgu7Q0FBZ7EBcD8DAgQO1Ne0dirLj2E8//cTSpUsBVGs+KF7X3axAVxPm3t3UqVMHuFoUTimsKSgo4Oeff6Z9+/bVxi7EvqZ58+bs2bNHXqsY74WgR+Puo7R8M+W+xsvLC0AWKYarRYzmz5/Pd999pxLkmkwmPDw8KCwsJCsrSz4G1/e1C5RxK+XPIhfEuojR+fPn2bNnD3A1Rn/fffeV3wejcUukp6fzwQcfyP2AUphbp04dxo4dS9euXenRo4fqddnZ2ZhMJtatW8fJkyfZtWsXRqNR1W1X7K9TU1NZvHgxiYmJvP766zeMsYtrqFu3LlCcN2exWDhz5gy9evWSTQLKKsy1XpNeS6CrtHU3NzfN716DuZH/yMnJCZ1OR9u2bQkKClK9Njo6mvT0dHbt2sXatWvJzs6W46GwR+siH6IgsNJ/JM6t9B8pHxPXKewuNzcXo9FIamoqp0+fBuC///0vJpOJunXrYm9vz6xZs+jTp08FfnIaFUFZBOQ6nQ5/f395fwsKCrCxseH8+fPEx8dz8eJFjh07RkFBgSwQrNyPK38GdS79jebu6xUgDAsLY+/evQCySJ2/vz+tWrXC19eXLl26YDKZuOeee8r/g9PQ0ChXNHGuhoaGRgWjXPyLBZiHhwfJycklktErqoOum5ubTApWBriBm9o0Xw+x0LSxsdGEuXcQYsOckZFR4m92dnYymd0a5b3X6XScOHGCDRs2cOjQIeLi4mSwRlk9XWyulVWMxLGVFd/eeOMNGjRoUGLTrlFzEE6+3bt3s2HDBgCefvpp/Pz8bvmYvr6+BAcHExoaSlFRkSrBpywCXWGTHTt2ZNiwYWzYsIGMjAzpnBFj3K5du8jKyiIzM5Nhw4ZJp8/NinS+++47du7cKc8tvgfPPvssjRs3vuXPQaNqEPN469atZSK66C4KSIdeec+JmkD3zufvv/9m+fLlQLHYC67e286dOzNr1iygWORfXigDIG5ubkyYMAEnJyfeeeedEgJd8fN///tfmjdvztChQ0sNoAjxuiZqvLtwcXFRBUAA6tatS7t27cjKyiI2NrZaCXRbtGjBf/7zH1544QVZ6ENcX1xcHJ9//jn169enRYsWmtC8hiLsTIxJykBdcnIy8fHxqmSK0lDe+/fff5/169fLv1l3HhX/W1f1VSZzGo1GDhw4QFxcHJcuXeLZZ5/F2dm51P20m5sbffv2leJc8fq1a9fywAMPEBQUpAnINFRca/3p7OyMg4ODDG4L6tSpw8KFC6lTpw5nz54lJyeHw4cPk5CQwKVLlwgPD6ewsFB2nxYoCyQJG79e9X+x3zeZTAwbNowPP/xQ9TeNysFgMBAQEMChQ4cwm80UFhaye/duevXqdVP3wWKx8Pfff5OTkwMUV4kWFdGV+/PCwkJOnz5Ny5Ytb3kuNRgMtG/fnlmzZuHq6sqPP/4ofZ7KRGIxJufn5xMeHq46hrB75RpbjM0ODg4sWrSIfv36yfenjas1B2FrQlyTnJwsxRI6nY7Y2FhiY2M5cuQI9913H7179+ahhx6S97gsdimeO3z4cDZt2sSZM2dUnU9SUlI4ffo0Pj4+2ppRo8JxcHCQ+3MxDur1es6dO0deXp4s/GJnZydF5QAPPfQQcFXIe/78eXJzczl27BgxMTHExMRw9uxZTCaTLNIhEHO+SMgUwlxtLr/zKa0zhVK4I+yvbt261K1bl4CAAH766SdVbMlsNuPs7MyTTz7Jzp07SUtL4/Lly6qYpfW6UpmECSUTL5VFXqE4SU4UYCooKCAuLo4BAwZowtwqQKyjdDodRUVFrFq1iiNHjqhEgCIWLTrsicK+sbGxMjEcoG/fvnTq1Ilhw4bh7e1dbtd4I2GusEmAWbNmMWHCBNV7u9FxAwMDCQwMLNO1aOvO6oXYI4n7b13wrbwFumLf5ODgwMsvv0xRURHbt2+XSerKzvaiq9miRYvw9vaW8/utYDKZOHToELm5uapxHa4KlDUqlqr43ivP+eOPP/Laa68BxftjpZBB+fPNCnRBK0R9N2I2m3F3d6dZs2acOXNG5S8HiImJkXZRHeY9cX5R1LC07qUaGoLSxjRhxyaTCUdHR7p06cJ3331Xwnb69+/P+PHj2b17N5GRkcTExHD+/HmMRqNsliGwtbWlqKhI5Wu3HpuFjSptVZkvYDKZGD58OG+++Wa5fw4aZUfcs127dnHy5ElA3bzB09OTDz/8kODgYBwdHVWvAWRRoGnTppGcnMzff//Nxx9/TE5OjiqOrfSFb9iwgezsbF566aXr5uAJW+nSpQvr16+X+2iTyURcXBwAq1atkoXib7X5j7VAV7neVPqTqsOcoFE+lNV/VK9ePerVq0dAQADbtm0jMzNT5aOvXbs2jz/+OH/99Rfp6enEx8eXGmMvzX+kzNNXjpnKvHlr/5HJZCI2NpYBAwZowtw7iOsJyC0Wi/SZt2jRgpYtW8q4IMCCBQv49ttvSxSvtLe3p6CgQFWkXdijUgiu1I0Aqrnb2r+gXB8XFBRgNBoJDw+Xsc1ly5YxZMgQTZyroVED0MS5GhoaGhVISkqKDL6JBVetWrXo27cvhw8fJioqqsIFuhaLBV9fX5o3b05ISIiqWovYZNyuMFdg7XzXnO01H+tqQsrutmFhYcTHx+Pn51ci2Vw8//Tp0/z7778sXrxYbkaUHfnE/8LxVFoFIWX3E7GRWbZsGR988EGpIkuN6o8YKxISEgDYsGEDJpOJZ5999pYFusOGDcPe3p4VK1Zw4sSJEpX3yyLQhauCh5EjRxIVFcWuXbvIy8srIdANCQkhNTWV6OhoZsyYId/PtZyF1o+vXLmSL774AkCV2NGjRw+6det2S+9fo3rg6uoqEyKh+N6np6cDFRPA0wS6dybCGbd//35VEA2u3lMfHx8eeeQRmYhW0WsuOzs7HnnkEfR6PbNnz5ZrRev5+a233iIgIIAOHTpU6PVo1BzatGlD/fr1Vcm2ubm5TJkyhVq1arF+/fpS90RVKdDt168fEyZMYO3atVJgAUiB0dtvv823336Lo6PjbSXcaVQtouKocm+snLOvhTK5Yf78+VKYK4LSYk5W7pus/xfzstlsVlW1jo6OZsuWLWRmZvKf//ynhEBXzOmDBw/m6NGjrF27FqPRiK2tLYWFhSxYsIAlS5bg6elZvh+Wxh2HGLv8/f05f/68tEG9Xk94eDiHDh3i/vvvp2XLlgCy415hYSGZmZlkZmZy+PBhrly5QkhICHFxcWRlZckupNbCCeuu1EohhSbmqTrEeFW/fn2geG967tw5cnJycHR0LPP+RafTMXToUAoKCvjkk09Ua0Wl70escf/55x9GjRql8g/dLDqdjsaNGzNv3jx8fHxYsWJFie6lykC3slOL8hjC7kwmEw4ODjRq1IhXXnlFJrdrSUE1D71ez+XLl3nkkUdITU2lVq1aFBUVqeZhg8FAfn4+27dv55dffmHXrl10796dBx98UK4R4Pr332QyYW9vz5QpU3j77bfJzs6WNpaamsrmzZvp16+fJsy9i6iq8aJRo0Y0bNiQiIgIuQYV3csjIiJo1apVqXYo5gF7e3tZBFP4JYuKikhNTSU7O5uDBw+SlJTE8ePHiY6OpqCggJSUFFmIYfjw4SxcuBDQ5vK7Gev7LhLVfHx8iIqKUsVIbW1teeCBB5gyZQqFhYUcO3aMlJQUDh06RGxsLMnJyURFRUlhLai7Sin36aUlqSuT3oTIU7PTqkF81llZWfz7779s2rSJ/fv3lyiSItaMIk4iXguo/KK7du1i165dnDlzho8++qhc5tjrCXPFNYqfX3nlFSZPnqx6b9ejtOtTvq60Y2jrzuqDSNIVPknl+KLc01aUQNfR0ZHXXnsNg8HAr7/+Snp6ukqgK3zySUlJvP7667z33nt06tRJrmXLsi4Rzzl9+jQrVqygoKBAlczetWtXHn300Vt6HxplQ9zT1NRUnJ2dK8UHfj1hrihopCwqrSyCBbcm0NW4u9Dr9Tg5OdGmTRvOnDmjEuYC/PPPP/zwww+MGDGiWsx74nso1p0CGxsbCgsLcXNzq6Ir06gpCDsWY6HoHK1c2wrfY7NmzWjWrBlw1deekpJCTk4OR44c4cqVK5w4cYLIyEiys7Pl3G+917HeEynjT0ox77Bhw7Q9UDVA2Me2bdtISkpSzbNubm783//9Hx07diz1NQIxd3t6ejJ69GgaNmzIpk2b2LNnDxkZGaXmbGzbto3c3FxmzpxJs2bNrnv/XV1dS4jDzp07x9dff80nn3wC3LowVyAEujqdjt9++w3Q9ul3K6X5jxwdHfH29iYmJkYVT7Kzs2PYsGHSfxQSEkJycjJHjhwhOjpa5m2KorBQeldyZUyoNMEuaP6juw1r0bjyZ+Gj0uv1uLu7q/6m1+sxGAy8+eab+Pr6cv78ec6cOUNoaCi5ublcuXJFJSBXzt1iTlcW3bqWPVrbsdlsZsSIEbJYgoaGRvVGyyDU0NDQqEAuX74MFAssLBYLHh4evPTSS2zfvp21a9cSGRlZoQJdcczg4GCOHDmiqmpensJcjZqNsnNNaU5wIf5RisAyMzPZuHEjTzzxBG5ubhQVFWFrayuT0r/88kt27dolO0YKh5D1BkRUEbK3t6ddu3a0a9eOvLw8UlNT+eWXX1Qd+sTmIywsjKysLE2cW0OxWCzExsZy/PhxeW83b94MwNSpU/H39y/1dcpiB0oHiLDbAQMGAEiBrvL5QqArxtZBgwZdM5gSGBjIjBkzyMrK4uDBgxQVFZUQ6EZERPD5559z/vx5pk6dSmBgILVr11Zdm7Bd8Z26cOECP/zwg6oLpnAGOTk5MXDgQK1rbg3H29sbDw8PUlNTVc6Uc+fOkZ6ejouLS4U47zSB7p2HXq8nOjqabdu2yQCbslNDgwYN6NWrV6UnPYwcOZL8/Hw++OCDUgW6BQUFbNiwgQYNGkhHpcbdjbOzsxSxiv3OmTNnSEtL49FHH5VrgOok0LWzs2PgwIGcOnWKEydOqAI2NjY2nDx5kmeffZZvv/1W1TVKo2bRpk0bXFxcyM3NlXsMo9HI//73v+vuwcU8/u2337Jq1SqguMuPOI6joyP+/v4EBwdTv359KdLJzs6WnSVzcnJU3RpFICYjI4MdO3ZQq1YtXnzxRZycnFSdhsR8P3bsWI4fP05oaKhM8oiMjGTPnj08/PDDWsCwGqLsnKgcN6pCyCPO3bZtW9mxShksjImJUT1fWVTL09MTT09PVfecoqIiEhISOHfuHKmpqRw6dIjU1FSioqJISEhQidWh2BegCXOrFmGPnTp1kuORxWLh2LFjXLx4UQq1yoq7uztjxozBbDbLAm3K5F5lIbe9e/fyyy+/MGTIkNu2f71ez4svvkjz5s3ZsWMHO3fuVHXRte78pHz/Yn1iMpnw9/dn4MCBDB8+nBYtWgCaMLcmk5mZSXBwMDExMaquycr9i1h3mkwmduzYwa5du9iwYQPTpk2jSZMmNGrUqMSeWon4DjVv3hw3Nzeys7NV4rN//vmH3377jYEDB1beG9cod6zv/fnz50lJSSEsLAxHR0fq1KlD7dq1pShBuYasrDHE3t4eJycn1Xgruk9euXLlmtdSmj9BOef7+Pjg4+Oj8lXm5uaSnJxMaGio7Hj66quvAtpcrqFGr9djb29PgwYNOHTokCqpPC0tjejoaBo1aoSdnR29e/cGirs5Z2ZmEhkZKQvCJCcnc/78eaKiomTniBt12lUmr2lJ6VWD+KwTExNZvHgxR44ckYm2ws8p1p/KNZt1IWBlkrjZbCYgIIAhQ4ZUijBXKU575ZVXmDJliuq93QrK12m2WL0RyeCOjo4q/w2ULMJWkQLdWbNmUatWLbZv305SUlKpAt2EhATefPNNHnvsMfr27UuzZs1U+yClrSl/1+l0nDt3jueff57k5GTVvtDT05MHH3xQvk9tX1T+iHsRFRXFkCFDGDJkCHPmzKlQH3hZhLk2NjYUFRVhZ2dHgwYNZFE3ZXErTaB7Z3OjQhI3QthZly5d+P7774HiBgBinNm1axd9+vSpFnFE8Z0Qoh6BGPdr165d6dekUbNp0aIFderUIScnR9qR2Wzmn3/+ISkpCS8vL1m0SDQuaNKkCXD1+1NUVERycjInT54kJSWFgwcPkpKSQnx8PAkJCXLPo/S329raSn+UyWTS/O7VjK1bt8oiRaIokb29PTNnziwhzC0N671Sp06d8PX1pU2bNnz77bfEx8fL8VXsjU0mE3/99ReFhYXMnDmT1q1bX3OuDg4OpkGDBsTGxkqbDQ0N5fjx40Cxfd1ujrGLiwtz5swhLS0NZ2dnbZ+uAVzd+zg4OFCvXj1CQkJU41tKSgoxMTHUq1cPe3t77r33XgBGjx4NQHp6OhcvXpS5ncnJyVy8eJGoqCiKiopURRJA8x9plA3lWBkUFEStWrVkMWCxDz927Bjz5s2TPs2ioiKysrI4ceIEqampHD58mPj4eJKSkqQvTPi3xDgr/AbCR6YsBKbsAi1sUwhzNdvU0Kj+aNmDGhoaGhVITk4OoK4oWVhYKLuPGY1GNmzYUKEddMXCbfr06aSnp7NlyxZVNx9NmHv3Yu1Yv3z5Mr/++iu2traMGDECV1dXlXPHycmJnJwc6dAzGo1s376drKwsHn/8cens2bFjB/v27ePQoUMlKmCD2nEkuv81bNiQ559/noYNG0rBrcVioU+fPrz66qsqAZBeryc2NpaffvqJGTNmVP4Hp3Hb6HQ64uPjpYCxLAJdMW5dvnyZf/75h379+uHh4SGPV1aBblJS0g0FuhaLhcaNG/Pqq68yb948jh07RkFBgaqjlOD3338nLCyM+vXr89RTT+Hp6UnDhg2Bq3afmZlJVlYWa9eu5fjx4xw7dkz+TRnAHzFiBI888oj8XQt010x8fHzw8/PjypUrqgp8QoRTkQUFNIHunYMYZ/78809VtVMRrHF0dOTll19WzdOVhV6vZ/jw4SQnJ7Ns2TLpvBZOSIDDhw8TERGBu7u7Soikcfch7n/Lli05e/Yser0eo9FIRkYGZ8+epVevXkyaNAmdTsemTZuqlUC3c+fODBo0iJMnTwLFSXFi3XLw4EGeffZZvvjiCzmna3N3zcLNzQ1nZ2cyMzNVc3Z8fLx8zrXua0hICD/88ANQnEwrAnwPPPAA/fr1Y8CAAdjb25d47WOPPUZMTAyLFi2SYiEhWBPXkZWVxW+//YaXlxeTJk1S2b0YU+vVq0eXLl0IDQ2Va4DU1FR++OEHHnrooVLXrRqVS2kFhcTjBQUF0vdSlWOHSIBTdj8xGo2EhobK/bpyTC5tThfdmwMDAwkMDASuBsb1ej0JCQmkpKSQmJjIoUOHSE5O5ujRoyQmJnLfffdpCULVBFdXVzlH29raUlRUxD///ENQUNBNr+VcXV0ZO3YswDUFumKc27lzJ506dcLHx+e2rl/Yz+DBg+nSpQujR49m6dKlJCYmEh8frxrjhRAXigPg9erVo0mTJrz00kt4eXnh7Owsj63N7TUTi8VCy5YtWbx4MdnZ2Xz55ZeEhoZy7NgxldjGulK56Bz95ptv4u3tLcUNPj4+Kr+TNY0bN2bSpEm8//770tbhamLv8ePHNXFuDUfcz9WrV3Pq1Cl27NghOy8rn9O8eXPq1avHE088QePGjalTp45KwFBRiHE2ICCA48ePq/YtRqORw4cP06dPnzIfT9kFQCBs32Qy4ejoSL169ahXr57qddpcXj2oTvdB2I3oGqVcTwrb7Nu3ryomKdYdLi4uskhIr169gGLfakpKCkeOHCE5OVkmXmZkZJCVlaUScgoBiNbxpGoQn3VsbCwvvfQSp06dUolwlYWnlIV8rDuGlFbQKjg4mODg4Nu+xqoQ5mrULIQ4RlnUTelrETYtxp2KFOi+8MILuLq6sm3bNi5evCjjnUqBbnJyMl999RW//fYbEydOpF+/fqpiscr4EMDFixc5evQoS5Ys4cqVK6oYvMlkol27dtx3332Ati+qCJTC3AkTJmA0Gvnpp59wcnLitddeqxAf+I2EueLnoqIi7O3tWbVqFe7u7syaNUuuM5XfAU2ge2ci7m9CQgI6nQ4fH5+b9g0JO+vatSuenp4kJCSocpIsFgu7d+8mNDSUe+65p8rnVnG9ym7RcHWtYGtri6Ojoxb/qWYoxSvXui9leU5F4ebmhouLCxkZGaqChUVFRRQWFpbarU9gMpmws7PD399f5kuNHz8eQIpzxV4oLS2NU6dOceXKFQoKCuSaZMiQIZrfvZpx4cIFQH3P69Spc9P7GuXr69aty+jRo2nSpAnvv/8+UVFRqoYpYq+1d+9ezGYzU6dOpUOHDqWO53Z2dri4uEiRGFBi/VtezX9cXFxYtmyZzE/SbLRqqE6fuxinRS6dtf/o0KFD9OzZU2Vv4mdXV1cpcO/bty8A2dnZZGVlkZyczOHDh7ly5YrsTp6VlYXRaFT5j4QfVfMfVR+q07pLNOlR5rzrdDqioqLkc0Rs1d3dXQrIR44cCUBqaiqXL18mMzOTgwcPcuXKFU6fPs3ly5cpLCyUhesEwu5FUQQhzNXmdQ2NmoWmwNLQ0NCoAEwmE0VFRYSGhpb4W6tWrXByckKn0/H4448DsHHjxgrroCuO5eDgwOzZs9Hr9WzevBmj0ciQIUNYtGgRoAlz7zaUi/V9+/bx119/sW3bNrKzs4GrnUP79+8vnYUuLi74+/sTHh4uA35wtaPO+vXr2bp1qwzYiaqSIsgnNimiqo9yU9G3b19GjRpFp06dpMgIioPww4YNIzU1lQULFqgS3ACSkpIq/oPSqDCOHj2qSrC4nkBXdGWOiYlh2LBh0nE9aNAgmVBengJdcaxmzZrx5ptv8umnn3Lw4EFycnJUgWwxXkdFRREVFcW+ffuoVasWLVq0kB0qYmJiyM/PJzU1VR5fVF6Dq9/FoUOH8uabbwJoQrZKojSHhbLi+K04M8S9ExV0rZ2GMTExBAQEVKgjSRPo3hkI+xPVSK3n0KZNm+Lv719ljjcXFxeGDRtGTEwM27dvl8JhuGqDCQkJfPrpp6xZs0Ybz+5yxP1v3bo133//vWq+j4uLA67a+xNPPAFQbQS64vxPPPEE58+f5/vvv1fNEeL7uGvXLubNm8dbb71VbQIEGmXDbDbj7u7Offfdx9q1a1V7lBMnTrB+/XqeeOKJEvdVzKOHDx+WwlohaAN4+umnmTp1Kg4ODqpkY2Wnn8aNG9O4cWM6d+7MZ599xs6dO4mOjpbrVBEQvHLlCr/99htBQUF07969RPcgOzs7nnrqKf7880+io6Pl+vLw4cN88sknvPLKK1pwpooRn//p06e5cOECf/75J4mJiWRmZlJUVETr1q3x9PRk8ODB+Pj4SGErVF7gsW3bttja2mKxWFQdyMLDwyksLKRWrVo3PMb1/Eje3t74+vrSunVr+vXrB0BWVhYFBQV4enoCWiCxOtCkSRN69erFzp07pQ3s27ePqVOn3tJa7kYCXTHm/vLLL3Tq1Ilx48bdls0rE+M9PT3p3bs37dq1Izk5me3bt5OQkMCJEyfIz8+X3a9sbGxo164dLVq0oHv37tSrV0+zwzsIYUsiIeLNN98kPj6e3bt3s2nTJmJiYsjOzlbt/8W8rdfrycrKIisri3feeYdOnToRFBTEs88+i729vUyKsBY59OzZk+DgYE6cOKESHa1evZr77ruPTp06VeVHonGL5Obmcvz4cdatW8dff/2l2g8oC6sAnDt3jnPnzrFnzx7uu+8+Bg0aRP/+/Su8YIqYh4OCgvjll19UVfbhagdSuD1RzfWKdAi0MbRqsJ4/hZAsPz8fg8Egu9dWBeK62rVrp0ooE2uNs2fPAuq15PW6OYsO0d7e3rRs2RJAdq2IjIzkwoULJCUlcejQIbKysjh79iz9+vXTEiurAPFZR0ZG8uSTTxIXFyc/e+EnF3tkBwcHfHx8cHd3x9vbm4yMDPkvOjpa7rVr1apFQUEBtWvX5plnnpFFW2+V6wlzReccTZirodPpyM7OJjMzU9WZDsDT01PGqJUiiIoS6Nrb2/Pkk0/i7e3N1q1bCQkJkX5Wk8kkbTo3N5fTp0/z2muv0aFDB5o0acKgQYPw8vLC3t4ee3t7jh07xoULF/jxxx+5cuUKubm5qjhtUVER9evX5z//+U+16Gh5JyLGkujoaB599FFSUlKwt7cnPz+f9evXA5S7QPd6wlxl5yYhzF29ejVBQUEUFhby+uuvM3/+fE2gexegtM1Ro0bh5ubGqlWr8PX1ven8BbPZjJeXFw8//DBff/01gEoEnp+fz5w5c1i1ahX+/v5VKsIQDTZETBaKc0Xat29P48aNq+S6NErHej128eJFUlNTiYiIwGw24+bmRkBAAO7u7vj7+1+zk3xFIezcx8eHmJgYOWYCUiBWt27da76+tDWD+P75+fnJTrv3338/ABkZGeTl5REZGcnJkyfR6XQ89dRTgLZ2rQ6YzWZyc3P566+/5GNiXdmvXz9atWp1W8d3dHSkZ8+efP3118yYMYPw8PBSBbr79+/HbDbz/PPPExQUpLILYV9BQUGcPHlSFfOE4vGwPIS5ApGXJPxrGhVPaeOB0WgkPz9f5jZarz0ra24W5wgKCpIF0ZX+o3PnzgHq8bE02xPX6+DggLOzM35+frRt2xa4mnNaVFREdHQ0YWFhJCUlcfjwYTIzMwkLC6N///6a/6gaUZrdVdV98fX1xc/Pj8uXL8u4gMViISQkhHPnzsn8YGvE2Oru7i731T179gSKCxAmJCQQEhLClStXOHz4MBkZGaSlpalE5A899BALFiwANNvU0KhJaCosDQ0NjQrAYDBQUFAgu+6YzWa5cHRzc1Ml6laGQFdQq1Yt3njjDdLT08nPz9eEuXcpysX6unXrWLp0KZmZmRiNRhn82bZtG926dcPR0RG9Xk/dunUZN26c7AIhEsdFYqWo5qPT6VQd/pSCHWVAOzg4mHvvvZdnnnlGXpdyY6/caHXr1o2AgAD5fRJ/u3jxIvn5+djZ2WmbjxpIXl4egEzQvZZA19vbG1tbW6Kiohg/frx83Zdffglc7U5WER10xbGaNm3Kq6++ytq1a/ntt9+4cuWKDD4JR7oywTgvL092xxWIYKV4rrJr0NChQ/noo48ATZhbWYgxMDExkSNHjhAcHIyjo6O0AeskW+ufr4V4XadOndi/f790XItO4xcvXqRbt24V7sDUBLo1H4vFQkJCAqdPnwaKO3yJMad3795S0FJVNG7cmMGDB3Py5EkuX74sr1GIFs+ePcuePXvo06dPtapsqFG5iHsvAs3KIPT+/fsZM2aMLMBRXgJda3u7lblV2LPBYGDu3Lmkpqaya9cuVSDTYrFQv359/P39yc/Pr7KEZ43SE9LLOme3adNGihKVyWX//PMPAwcOlIkOAp1OR2RkJMuXL8dsNsukNbi6bn3hhRdUzxe2Z71XMZlMODk58cILLxAYGMjWrVs5c+aMFAWJ6zhz5gybNm2ie/fuqnWuWDu7ubnxyiuvMHv2bDIyMjAYDOh0Ovbs2cO9994rqwVrVB7iHhmNRlJSUvjmm2/4448/SExMLPHcy5cvA/C///2PWrVqMX36dIKDg2nRooXKZ1SRuLu7Y2dnR05Ojkp4k5mZSV5eXpnEuaUhbF65roar3yEnJydZzEYLJFY9wmbFeCf2tqdPn2b37t23vJa7lkBXmbRuNBp57733qFevngxK3yrW84CLiwsuLi7MmDEDuCqwE8mW9vb2pYqVNHu881DOnX5+fowdO5aePXsSFRXFF198QVRUFCkpKdJ3KeZf8T0wGo2EhIRw5MgR/v33X/r06cODDz5IkyZN5DnE+rB+/fq0a9eO48ePq7r9WSwWdu3aRYcOHeReSaNmkJqayqpVq9i5cyfh4eFyDSZ8PcpOeUrfd35+Pjt27GDnzp1Mnz6dKVOmVMrYYu3XFISFhZGTk4ODg4M2xt2BCNs7duwY4eHh/PrrryQnJ1NUVCQFraIIxYMPPoidnR12dnaV6oN2dXWVeyaBjY0NV65cobCw8IbxzhuJw+3s7GjWrBnNmjUDYOLEiRgMBi5evCiFFNocX3kohbmPPvooqampcg0o5lY7Ozs8PT15+OGH6dy5s0zAVYq4U1NTOXnyJCEhIfz+++9y7/Tqq6/SrFmz27qnmjBX42YQHWuEXQif4UsvvcTRo0fZvHmzyr6hYjroiiJtw4YNo0GDBqxbt45ffvlFrknEukS5jj127BhHjx7lhx9+oKioCBsbG+zt7WWRboHyO1pUVISrqytffPEF9erVu+3PT6N0RGHn4cOHk5eXh62trRRGGI3Gchfo3qowV3RvbNu2LW+88Qbz5s1TCXSFr0cT6N4ZKIW548aNIzMzk8zMTGbOnMmSJUvw8/O7qTWkMmb+xRdfAKg6fhsMBi5fvszSpUuZNWuW7JZXFYg4VHJyMqD+zlR1LFajGOsO8GvWrOHYsWP8/vvvcg0pEH6gHj160K9fP7p27YqTk1OlxKvFfN+mTRuOHDmiunaAtLS0mz7m9YoYOTk5UadOHXx9fenWrZv8u7Z2rR4IX6N1kUCLxSLFWre7Pxfx6nXr1vHkk08SGhoqx1tlXPvff//FxsaGl19+mRYtWsjXi3OL/bPIB1Vea3kKc5Vo+SOVhxgPTpw4QXh4uMx9FPsJe3t7evToQb169Rg0aBC2trbY2tpWqv/Izc2thDDcYDCQmJgo80mux/X8RzqdDkdHR1q0aCHtf9KkSRgMBsLDw6VPSRs7K5fSCm4kJycTFhaGs7Mzjo6OeHt706ZNGznmVHbumYeHB56enkRHR8vHREHEjIyMa77uenN3rVq1ZAHCoKAgAAoLCzEajURERBAVFUViYiLJycnMmjUL0GxTQ6OmoSmxNDQ0NMoZsZA6c+YMiYmJqqCGyWSiQ4cOAKqNd2UKdO3t7Vm0aJHctGjC3LsPsVj/9ttvZXUd4cgsKCgAICQkhJSUFJydnaX9jho1irNnz/Ldd9+VqMgrjgGohIfK7hPC1p577jl69OhBmzZtAErYuzUtWrSQVYiUCAeBRs1k3LhxREREsGfPHtnBxlqgazabeeutt4iLi2P8+PEkJyfLJI3k5GTmz5+PnZ0dI0eOVIlfb1aga7FYGDx4cKkCXYAGDRrwzDPP0KxZM9asWUN4eLh0RIqxXDiJlHYsrkUZoBTPq1OnDg899JAMgmpjceUgxpuoqCjGjh1LWloanp6e6HQ6WrVqRaNGjWjQoAEdOnTA3t5edjC7XmU2pVAGrlZOg+LKqMJGrueYKW9uVqC7dOlS4Ooaw9HRsdKuU6N0RBBYdBa1TqwRVVSrygEn7Kd///6cOnWKZcuWlQjQ5OTkcPDgQfr06aMFVu5ixL3v0KED3t7eJCcnS/sRHeWV3cduV6CrdMYfP36c4OBg1Xh4MygDjy+88ALp6ekcP35cVsSsX78+48aNY+TIkdp6tApR3vO4uDhVJfSyMGTIEH755Rf27Nkj12sWi4V9+/Zx5MgRhg4dKs8h7OHw4cPk5eXJbiIAI0aMYObMmUDZxmZhX/b29owePZo6deqwYsUKzpw5o+o8YTKZ2LFjB2vWrGHixImq9yZsulWrVrRr1449e/bItef58+fZv3+/Js6tZMS9y8jI4Pfff+fHH38kJCREJdix3jvDVdFgZmYm7733Hp06dWLw4MGMGzfulsevsmIymbC3t8fLy0uKcy0WCyaTicTERM6ePUv37t3L5VzK96v8fmiBxOrDkCFD+P777ykqKsJoNJKXl8fRo0dvay0nBLo6nY5PP/1U1UFX+fPLL7/MkiVL6NKlS7m8l9IKLJW2xxF/t07u07izsLaHwMBAAgMD6dixI4cOHeKPP/7gf//7H4WFhSpfp9iDiX9nz57l3LlzrF69mqeeeorg4GC6d++uGqNnzpzJwYMHOXfunFw7mM1mduzYwZQpU3B1ddUKF9UQEhISmDt3LocOHSIzM1OOEcoilMrCE+JnUWjFbDaTl5fHxx9/TEZGBi+//DJQsXv4oKAgHBwcpLhMJCYnJCRQUFCAk5NThZxXo+ooKioiNTWVL7/8kr/++osrV67IvynFhWFhYZjNZn744QdatmzJ9OnT8fLyqrTrDAgIwNPTk/T0dFnoShQxvHjxouyCeyuU5ksX3zGRWKx14qk8xBh3+fJlpkyZQmpqqhQlCp9mnTp1mDBhAvfccw/t2rVTvRaQxX+9vb3p378//fv3Z9q0aWzYsAGTySQ70d/qPRVxoZiYGCZOnKgJczWuiVizRUdHk5WVJed6sR7w9vaWxay///57VWwTyl+gK9YbNjY2dOjQgdatWxMQEMCqVasoKipSFUAS6xXxT7wXk8kkO6srffnKsTkwMJCvvvpK6xJZwZjNZvbs2SOLUSsLvZW3QPdawlzl2FeaMFeMl3DV7tu0aVNCoKv0l2oC3ZqNMnY+fvx4UlJSpCDn1KlTPPfcc7ck0AXo0aMHTz75JCtWrJD7JbFfsVgs/Pvvv/zxxx8MGzbslosE3g5ifP/111+5ePGiHCN1Oh21a9dm1KhR8nnaXr7qEDaam5vLsWPHWLt2LX///bf8u62trZzzRLGJuLg4tmzZwp9//kmDBg149913ady48Q3FXeWFEJwLe1IWZIXbF2QqYw5Q0ka1tWv1IS8vj7y8PFUDFECKc28Xsc5zcXFh1apVPPvssxw6dEg13opY0969e7GxseHVV1+lYcOGquN07NiRLl26cOjQIUwmk5wHKkqYq1HxCHsrKioiLS2NL7/8kp07d6qKCSv3MKdPn8ZsNrN161ZatWrF9OnTr1kMsCIIDAzEw8ODjIwM1R7lwoULRERESAHtrVDaWCkKXovjav6jysM6Jrd27VpCQ0P55ZdfMBgM5Ofny+fWqlWLevXqERwczEMPPUT79u3lPaxoX42Yq+vUqQMUF86Cq37Zw4cP07Vr1zJfx/XmboPBgJ2dHa1bt6Z169aq12k+KQ2Nmof2jdXQ0NAoZ8Si6cSJEzKpTWwYDAYDzZs3l89TVuR//PHHGTt2LA0aNADUwUidTicFunv27KGwsPC2rlE4nESwRuPuY+fOndJ5olz0iwBKcnIyn3/+OUVFRdIpaGdnx7hx43jggQeA4oppArEBAfWGxGQy4e/vz4MPPsiaNWt4+umnpTC3rJtb0c1RuTkTjlWNmofZbMbX15e33nqLe+65B3t7e5W9CJvcsmULb7zxBo888ogU5orq1HB1LOvQoUMJG1Imxg0YMIAnn3ySdu3aScekGHuFQHfZsmX8+uuv161U6eXlxYgRI/jqq6+49957cXZ2lu/FxsZGBiJLS9JTCtfhqgDypZdekkFQ5XvWqDisg4tpaWnY2dmRlpbGlStX2LNnDytXruSdd95h5MiRDBs2jMcee4wXX3yR5cuXs3fvXk6cOEFBQQGFhYUqQTggx6NWrVrh4OCAjY2NSqB96tQpjEajqnJrRSKc7ACzZ89m/PjxqnFa/GxjY0N4eDjvvvsuFy5cqJRr07gxaWlpMjFCOT66uroSHBwMVF1gTdkh6LnnnqNnz54lChEAbN26lfPnz1fJNWpUH4RT2cHBQe57LBYLoaGhREREAOqiRU888QSPPPII9evXB0ruiYRAd9++fXJPJOxPjMdr1qxh7NixfPjhh4B6PLwZlEm9kydPpkWLFpjNZpUwV3R/1Kh8lPf8vffeY/bs2TKxoazo9Xratm0LIAPjNjY2mM1m3nnnHU6fPi3PIezh77//lvO5Xq8nICCABx988Jpdcq93btH5ZMCAATz00EOyy7QyYK7T6fj777+luN2aunXrMmbMGKC4owvAF198weHDh2/q89C4dYQ9JCUl8dFHH7F06VIpzBX7BOEbEvdXJKGJZAaLxcKRI0eYP38+ixYtAm59/CoLBoMBd3d32QFSXJuw5Vup4q9R8xBjnJubm0zEEHvT1atXc+zYsds6vqurK4888ojsLC6OL/bmBoOB9PR05syZw8mTJ2/rXNbcKGlS/F1Lrrw7UN5ns9mMg4MDffr0Ye7cuXz++edMmzYNFxcXmfijfI1YcxgMBnJzc/nss8948cUXeffddzl79qxMqjcYDPTt21f6VsW6IjY2lv/+978qYadG9SU2NpZp06bx559/SmGudYEUMVeKKvnCPpT7YjGWfvPNN/zf//0fULzvqQjq1KmDnZ2d9E0pbVZ0gNK4c8jIyGDr1q288MILbNy4Ud5jYZti/agsdnXixAk2btzImDFj+O2332TBrIrGz88PLy8vuRYW12lnZ0dWVla5n896nNXG3cpBxPmSkpJ4+eWXiY2NVa0tjUYjnp6efPrpp0yePFkKc5WCRyh5v0wmE7Vr12by5MlMmjSpRAL5zaLX60lNTWXw4MEkJCRgb2+vCXM1SkXYYlJSkhS8Aqp5FmDevHmMGjVKilzF3l7EDYVAV3SuVXaCutVrgqsJyi+99BLz58+nX79+2NnZqWL2ykIxSl+EsuA2FPsB3N3d6du3L8uXL9eEuZWAXq+nf//+vPbaa7i6usq4t1KgC7B+/XoWLFhwy3lB1+uYW1RUdF1hrvW4pxTotm/fXq5pxfpW+JOEQPfYsWMV5s/SKH/0ej1xcXGMGTOG5ORkOaaI+V0IdOPj42/KVynm+fvuu0/myCn92zqdjri4ODZs2MCJEydK9X1XNGK/J+IKwv6Fz8rPz08+T6NqEPckJSWFZcuWsWDBAv7++2+559Xr9RQVFUkRoWgkIebErKwsjh8/zpQpU9i4cSMJCQmVct1t2rSR/gMxB8PVroBQeke920Gz0epLfn4+eXl5cu4VtpCTkwOUjy2IYkhOTk58+eWX9OzZU8bkobhIEVyNcS5ZskSeX1xPs2bNeOyxx2TBVlEARhPm1kzE/c/IyOD777/nhRdeYMOGDSQlJQHFfkvlmk7Yy9GjR1m7di2PPPIIO3furLRYYUBAAO7u7qr9i8FgwNbWluzs7HI5h3WzlWv9TaPiELaZm5vLv//+y/Tp05k7dy4///yz1FmI+VPEEcPDw/nuu+8YP3487777rizQIdZsFYUYN9u3bw8U5yKL740Qut+qz6i0ouylofmkNDRqHtq3VkNDQ6OcEQuwkydPyiq/YhMTGBiIv79/CRFjVQh0xbk17i6ETe3Zs0cGe8RGRTjT7ezs8PX1pW3btiU2Ma1atWLq1KmMGzcOQBW4FvYuNkdwNRGzT58+LFmyhLfeeov27duXcLpfD9FxV1RFUopzW7VqpRItadQcxLjn7e0tBbq1atUqVaC7fft20tLSZOBaiLI9PT3ZtGkTjRs3LjWx7UYCXRGcVnbQ/fXXX0lPT7/mddva2hIQEMCXX37JW2+9xejRo+W5RPBR/A/I4LfZbMbFxQV/f3/effddZs+eLUUUSkeoRsWhFOY++uijJCcnywC0sAcxV4tOOXl5eRw6dIhff/2Vjz76iKeeeorHHnuM0aNHM2HCBBYuXMjGjRs5cuQIOTk5MrGiUaNGBAQEyN+FfaampqLX6yt17r2RQFdZSKFLly4EBQVV2rVpXB8hWrROlrGzs6tQoU5ZUXYPHzhwIA4ODqpq+3q9npycHFJSUqr0OjWqHovFgrOzs+yGJ/Y1RUVFqjn3dgS6yoT5tWvX8sEHHwCwYsUKGTAUAfBbwdbWll69ejFu3Dh69uzJqFGjNGFuFaNMLnv77bfZsGEDR48eld1nlc+7Hnq9nmeeeYYWLVqo9kY2Njbk5uayZMkSYmNj5bGMRiMJCQlyz2M2m2nQoMEtd3sU61U7OzseeeQR7rnnHqA4ACPWlYcOHeLChQsl9k7i/fXv3192nhaPOTo6VmpHrLsZMXbFxcUxa9Ystm3bRkJCghybrLtAWQu5lQWEAAoLC/nmm2+YO3cuUNxpubwRwW1RdEhcizIAD1T5mkOjcmjYsCH9+/cH1ImIx48fB27PDkQHXaVAVznOAVy6dIl58+Zx6tSpW38TGhplRIy3wv569erFjBkz+O6775g+fbpMSBf/lGI3MSanp6ezceNGXnnlFd566y2ioqJwcHBg1KhRODs7l/C5njp1itzcXODG6xONqiMmJobJkydz5swZ6SMS+xRxL3U6Ha6urjg5OVGnTh0p6LbueqNMWPzyyy/59ttvgYqJxxiNRhwcHPD391edw2QykZWVddMFbDSqN0lJSSxYsIAvv/ySY8eOqXyawk7FfknYrljj2djYEB8fz9tvv8369euJioqq0GsV1yPWm8pkz/z8fLnerKxChhoVh06nIzs7m+XLl3PmzBlVIZaioiK8vLxYuXIlPXr0wNHRUfW666EshmBvb18u1+ro6Mi9994LILuIasJcDWvEuBQZGQkUd1WysbHBxcWFevXqyTyNuXPnqgS6Yr1YEQJd6+sbPHgwb775Jp9++ikNGzbE2dlZ5TMTOSrKf0JALP516tSJ6dOn88EHH1CvXr3bvjaNsuHj48ODDz7IU089haurq/QLlZdA93rCXGGDZRXmCoRA9/XXX9cEuncgQuSg0+lkzAWKC3DcikBXHKNjx4706NEDKF4PChsVwtilS5cSExNTQe/u+uzdu5fVq1fL6xPvbeLEibddGETj9hBjUkJCAu+88w7r168nPDxc7oGsC6wp84NEDqaYj0VzitWrV1f4PgiuFv63nvdtbGxIT08vN5GZRs3A3t4eJycnuZ4U/8fHxwPlF38ROU5OTk589tln9O7dWzWvK32cv/76q6rAtShA079/f5VAd8CAAZowtwaiLCa8cOFCvvzyS44ePVqimLB4rvjf2n8UHR3N7Nmz2bRpU4XP0aLAgsi9UPqP8vLyNP/RHYKwzdTUVL7++mvmzZvHX3/9pSqULgqkK33uwibhapOfuXPn8tVXXwEVW+Ra4OnpKa8fitccsbGxqhxhDQ0NDYG2YtLQ0NAoZ/R6PZcvX2bv3r0qoZbFYqF9+/ZywWb9GrEAffzxxwHYuHEjkZGR8nGxEBUCXbjafdHOzq7y3pxGjUev15Oens5vv/2mSgAWIjV3d3defvll2rZtS7NmzUo9RosWLXjnnXdo27YtP/74I+fOnSMzMxO4Wj2tVq1auLq6MnToULp160avXr1Ur7+ZalMGg4GwsDDZQUUkxQPSGa5Vr6qZWAt0AXbv3k1BQYFKQAuogtqiyvry5ctp1qzZdQOFyuDOgAEDgKtCnRMnTsjXWXfQhasBbVdX11KPKa5j2LBhDBs2jKFDhxIVFcWOHTvIzs4mJiZGOvltbGxo1qwZHh4ejBgxAl9fX1Vwu6ydozVuD/E5R0dHM2HCBFJSUmQXZqWTRDhslAmXwoaEQ6ewsJDw8HDZCVcUJ/D09MTDw4PevXvj4eFB3bp1uXjxoqob05UrV8jMzJS2pQy2KwPl5Y24doPBwOzZswFYt26d7AxoNpsZPnw4CxcuBLSko+qCSLawtgs3Nzdq165dLRx84truu+8+li9fTlRUlEq0azQa+eWXX+jWrZs23t3FiPsuKoyLeddoNHL8+HGZyCMSxJQCXZ1Ox8aNG4mKiiqxJxICXbPZLPdEa9askcJce3t78vPzWbZsGdnZ2cyePfu2xlkHBweGDh1KUFAQgYGBKjGbRuWinDNnz57Nd999h8FgIC8vj7/++guLxcLkyZNp1apVmQoB2dnZ8cwzz/D++++TlpamSmo/fvw4GzZsYPLkybi7u5OUlERkZKSqauvgwYOxtbW95flTJIiIricHDx7k4sWLMplTJHB89913dOzYUVaDF68V3HvvvRw8eJCzZ89Sp04d1q1bJ4t+aVQc4r7HxMTwzDPPcOnSJaB4HSnmQ7HeUybjCD+RSJpQdhIzmUysXbuWOnXqMHPmTDm/lud6URyrbdu2/PTTTzKhSdi/SFLSCgndPTRt2hQo3j8VFhayfv16Ro4ciYuLy20dWwh0ARYvXiyTecS+32QyERoayrx583jjjTdkV3MNjdJQ+nOUc69ynLQWSpaG8rVms5n69eszbdo0nn76ab799luOHTvG33//LcduMTcrk0AvXrzIxYsX2b9/PyNHjuThhx9m7ty5vPTSS1Kga7FYOHjwID/99BMTJkzQ/JjVlKioKCZMmMCVK1fk+CT2LXZ2dri5uTFy5Eg6d+5M27Ztyc/PR6/Xs2/fPk6dOsWaNWtU3UqhOHHRaDTy3//+l+bNm8sEx/JE6YM8e/asjEeJc1+vEKFGzeLy5cu89tprnDhxQlWoyjo5rLR1o7KrY0ZGBitXriQrK4uJEydSt27dCrle8V3o0KEDhw8fViXZAVy5ckX1PI2aiZiPDx48yO7du6VtKmM5K1asoGnTptXC72xvb8/ChQtxcnLihx9+ANCEuRolEGu9kJAQoDgJ12g0Uq9ePQICAoDiNacorrVlyxY51gq7Ugp016xZI2NTtyNuUPoI/Pz88PPzo23btpw8eZLt27dz+vRp6U+1TmAXQveBAwfSvHlznnzyyUovKqtxFU9PT4YPHw7AN998Q3p6ulyHKu1o/fr1ALz22mtlygu6njBXmdx+M8JcgVKgO3/+fI4dO1bCr68U6IpOu5pvqfozduxYioqK2LBhgyoeI/LdlALdJUuW4OfnV6Z9t3jtf/7zH0JDQzl8+LD0bytt9eDBg8ydO5e5c+fi7e1dGW8ZuFr4Zvv27arYk06nw9PTk3bt2lXadWiURNhObGwszz33nCw6pSwuCcVztvCti3sp5j9lnlFGRgabN2+mVq1aPProoxVW3FQUxHR1dSUxMVHau9FoJC4ujnPnztGpU6cKObdG9cPHx4f69etz9uxZoLgo7759+0hNTcXd3b3cziViS46OjixevJjp06dz4MCBEsVjjEYjmzZtwtXVlRdffFG1Pr333nvJz8+nc+fOTJs2DdCEuTUJMXberP/IOvdIrEVTUlJYsWIFmZmZTJgwQRYGLG/E2N2+fXspJFbuZURDAG3PUnNRFtz44IMPOHjwIJmZmapYizJHGNQ5vyI3w2QycfnyZRYvXkxaWhqvv/66KieyPBHnbt68Oba2tkBxEyuLxUJ4eDhXrlzBx8enXM+roaFR89FWTRoaGhoVQHR0NK6uruTn52M2m2Xlyfbt2wOlB/U0ga5GZZGXl0dBQQF2dnYUFRWpOpGuXLlSJmQC100Afvjhh7n33nvJzs4mLCyMjIwMHB0dadiwIU5OTgQGBsrn3uomKDs7mx9//JGCggJV0Kh+/fp07dr15t+8RrVCKdB98803MZvN7Nu3j/z8/BKJRMJh7e7uzooVK2jWrFmZ7OpmBLqJiYk3FOhan69Lly506dKF4cOHo9frSUxMlElxRqOx1E24shqsRsWj0+lITExkyJAhsuqjskq5spuitUNSJN6KRAplYE5ZPTchIYGEhAROnz4t/650YJrNZuLi4vj7779p2LAhLVq0QKfTUatWLdVxlTZdngIMa4GuTqdj7dq1AAwbNkwT5lYjxH0X96G0yr/V6R6ZzWY8PDwYN24cH330kXxMfDdiYmK08e4uR9i0GPeU1SvPnz8PqAMp1nsii8XCpk2brinQ/frrr3FyciIsLIwFCxYAxUVnxB6svKpgOzo60rJly3I5lsatUZowV4wxQqC7a9cu0tPTeeutt25Y2V7Mue3ataNz58788ccfKhvMyMhg+/btNGjQgOHDh6vWDGJete5QdiuIsd7Z2ZmXX36ZV199lezsbJVQODo6+rpzQNeuXWnUqBFnz55l3bp1NGnS5JavR6NsCDuJjo7miSeeIC4uroSYR6wru3btipeXF61btyYjI4OIiAjOnz/PpUuXVCJFcVylQLdu3bqMGDGiwuZSHx8fmaQksLGxISkpqUKCmRrVDzG2Dh8+nO+++46IiAiZqBMTE8PGjRt58sknbzsB50YCXaPRyKlTpzSBrsY1URZ0gav7+tTUVPR6PXl5eZhMJnx9fXF0dCwxdt1or6v8m52dHU8//TT5+fns3buXLVu2cPr0aZKTk+U6QbnHMRgMpKens2rVKrZs2ULXrl3x9vYmPj5eJZD87bffuP/++7VkjWpIVFQUjz76KCkpKSXmchcXF8aMGcP999+vSs52dHREr9fL4n2dOnXi66+/JiwsTAqzobgAXHp6Ort376ZTp06qYivlgRjH3dzcgGIfk1i3hoSE8Pjjj6u6pGjUPJTFYMQYpCwGIxD3XfwvxiBlF2iDwUBOTg5bt27F09OTsWPHyu4k5YmwRSGwUArYTSYTMTExch1QnXxdGmVHWYzvu+++IzIyUiXMdXV15eOPP642wlyBg4MDb7/9Nnq9nq1btwLw6quv8uSTTwKaj1zjKgUFBbKIGyDt2t/fn6KiIilCrCqBrtJHYLFY8Pb2pn///vTv35/ExEQiIyOJj4/nwoUL2NjYYGtri42NDcHBwXh4eKj8RtWhEOjdyvUEuspCL2UV6FZEx1xrNIHunYfYJ0ycOBGTycTmzZtV8Rgo2UG3rAJdsVa1sbHhnXfe4cUXXyQ8PLxEJ0ez2cyePXt45513+OCDD8pVrHY9Dhw4wM6dO1XXYbFY6Nu3b4kGBBqVh7Ig5uTJk4mOjlYVh7bukOfl5YWtrS0ZGRkYjUYKCgrk35SiRIPBQHZ2NuvXrycgIIBRo0ZVyLpPp9MREBBAvXr1SExMlCIesW7QCmjdPYgxxcXFRWUDNjY2ZGZmcvz4cfr161eucRhxDicnJ5YuXcrTTz9NSEhIqeuL5cuXU7duXUaPHq3yhw0aNEgeTxPm1hzKWkxYUFb/UWZmJlu3bsXLy4vRo0dXSAFzsX4VRRNEbFWM+SJ3XjymUbO4mYIbojCMaDZi3dRHKTRftWoVNjY2zJo1S8735Wkf4tx169bF0dGRjIwMVYMXs9lMfn5+uZ1PQ0PjzkFbOWloaGhUAN27d2fkyJFs2bKF+Ph4KXzs06cPcO2NgibQ1agIrDcf2dnZ5Obmyg2L0WikTp06fPHFFyWC5NdKABbBHVdXV9zc3FRC3NKed7OOJPG6sLAw/v77b9X7MJlMNGvWTNWBVKPmIsY9Hx8fFi9ezDPPPMM///wDqIW1cNUuOnXqhJ+f300llJW3QNcai8Uix2A/Pz9VQEn5HKWwU6NyqVWrFq+++ioGg4F//vmHhIQEUlJSiI+PR6/XS9Gu0vGodIIrq6sKlJ12hTNTec+Vvwsn+Ouvv46trS3e3t44ODhIe27VqhWNGzfG1tZWOhyt7USZAHwrwl1loshbb71FZmYmZrOZDz/8UB5fc2RWPcpkHyi2PfF4fn6+dIpXh/slrqFhw4aqrtPib2fPnuXKlSt4enpqY99dirjvzZo1w8XFhYyMDGk3SUlJNyxa9MQTTwBcV6D71ltvcfnyZeDq+C0C3UVFRQwZMoRFixYB5Vv0QKPyuZYwVyRH6vV6bG1tycnJobCw8Kb2Cv7+/jz22GPs3buXvLw8uQ7Q6/XEx8ezYsUK3NzcaNy4MU5OThQVFWE2m7G3t8fJyanE9d0KYtxv2LAhLi4uUpwrEk7CwsI4c+YMQUFBJV4rvhcLFizgxRdfrLDOVxrFiM/8emIeR0dHunfvzpAhQxg8eHCJY0RGRnL48GHmzZtHXl4eUDxmivk/MzOTv//+m169elVYJX+xLi0qKpJzudFo5OLFi0RERGhC77sAYXdOTk74+fkREREh7Rjgn3/+YfTo0bi5ud32nkEIdHU6HZ9++qkm0NW4Icr5Va/Xk5SUxJEjR9i/fz/nz5+XSb15eXlYLBZ8fX1xd3cnODiYHj16EBQUhLe3d4muPNdC+Tx7e3vuv/9+OnbsSGJiIp999hkXL14kKipK1U1XrBmMRiMZGRn8/vvvquOIsfXEiRNcunRJFkXQ1qXVA+VcLoQyYgx0d3dnzpw5dOnSRQoXrUXi4veBAwfi5ubGl19+yaFDh1R+JGEfP/zwA48++mi5+7SFLQUHB6uS7cQ1JCQk3JJ/XqP6oCwGI5K/rIvB9OrVC3d3dxo2bIhOpyMyMpITJ04QHR0NqAvAKBPTly9fTvPmzbnnnnvKvTCLssMEFCd6imsODw8nIyOj0sQXGuWPGH9WrVrFrl27VGOQg4MDTz31FB07dgSqXwKtg4MDb775JllZWTRr1kwT5mqU4PDhw6qkYTF29evXT3bNAXXcZe7cueh0Or777jspvBDjbkUIdAVKX4Jer8fHx6fMBWG0dWnVU14C3RsJc6075q5Zs4a2bdve0rh3PYGuiKNqAt2agzJPQsRjrAW6IuZyKwJdMc7Vr1+fqVOnsmjRIuLi4lQFjcQa9++//+b1119n9uzZFebjFu8pNDSUjz76iIyMDPmds1gstG3blmeffRbQxsiqQFkQc/z48Vy5cqWE393Ozk76GNu3by+LDKSmppKSksKqVas4e/Ys0dHRKvsS83FGRgZLliyhe/fuBAQElPt9Ft8XR0dH1ePiHCEhIfTv318rjHkXIPZHDz30EIcOHZK5PiaTiYyMDH7++Wf69esnCwOXd+F+Jycnli1bxvjx4wkLC5PfJeGLN5lMfP/99zRs2FAWk7O+Dk2YWzMorZjwtfxHPXr0wM3NTRa4joyM5OTJkzLXojT/UUZGhvQf9ejRo8L8R6JIulizKv1HWVlZ1KlTp9zOqVE53EzBDb1eT+3atcnPz8fR0ZHk5GT5N2WRa2Wxg5UrV+Lp6cmkSZMqxJcjYgUiz0m5905NTeXUqVPUr1+/3M+roaFRs9FWTxoaGhrljFhUTp8+HRsbGzZv3szly5fp2rUrHh4eZarUrwl0NcoLsSGOj4/nn3/+4YEHHsDDwwM7OztVxasBAwbQvHnzMgdgyioyvBXnkbiGlJQUPvroIyIjI+Wm3mQy4efnx4wZM2QwVAuU13zEfczMzOTs2bPS8WL9P8Dvv/+Oi4sL06ZNk53KysKNBLpKx9TNCnStK3mV9rMWuKlaXF1dmThxIgCPPvooACkpKVy6dInU1FQOHz5MWloaly5d4vLlyxQUFGA0Gkt0EBOBcFHlUpmUIR4TKO3W2oEZFxeHxWLhwoUL8vmOjo7Url2btm3b4uLiQnBwMIGBgbi7u0tRhHXhhJvttKtMFBGiXHF92lhavRBdla2rAcbFxREfH1/thFddunShVatWnDt3TgYdLRYLmZmZZGRkVJigSKNmIIpYCKe1eCw0NJTY2NhSk9PLItAVz4mLiwPUwlyz2cygQYOkMFer7FuzuZ4wVwhiRLGN4OBgli9fftMVUjt16sTbb7/N66+/rprv9Xo9ERERfP7550ydOlVVWVgZGCyvtV7Dhg0ZOHAgK1euVL3/wsJC+f2xRgSvbG1tq938cCdSmjDXWszj6urKCy+8QPfu3VVBObFeNBgM1K9fnwYNGhAYGMjChQsJCwtTVaoWY9zvv//OoEGDVNXKy5PGjRvj4eHB5cuXVQmUtra2ZGVlVcg5NaofFosFe3t7Hn30UQ4dOqTyFx04cIBvv/2WF198sVz2DK6urjzyyCMAmkBX47oo5/ELFy5w4sQJPvvsM9LS0lRdUGxsbOT4m5ycTEJCAmfOnGH9+vUEBwfToUMHnn32WdlR90Z7Z+u/ubu74+7uzpIlSwgPD2fHjh38+OOPpKWlUVhYqCrqodwLWSeyFRYWsnTpUlq3bo2Li0s5f1oat8L15nJPT08+//xzgoODVa8prbCQuN9dunShoKCAM2fOyARvkfwmEoB///13pkyZUiF+GDc3NywWi6oLho2NDfHx8aSmpmoCyBpKVFQU48ePJzk5udRiMD179mTQoEGlFoPJzs5m8+bN/P333xw+fFi+VikUS09PZ968eQQFBZWpSOXNIMbB+vXr4+zsTE5Ojmq9WVhYqHWYuANISUnh33//lYnn4r63adOGXr16qUSM1Q1HR0c++eQT6S/SfOR3BrcrbBCvj4iIkDYtfI06nU52A1eijLvMmTMHQAp0lYWPKlKgC6WL4K0LIFt/NlrssnpwPYGushPztQS61xPmijinUpi7evXqWxbmCq4l0FXmb2gC3erF9e53RQt04WrX5p49exIREcH69etJTU0tUfTIbDaze/duCgsLmT59Om3btqVWrVrlKlrT6/VcvHiRmTNnqoSfFosFDw8Phg0bhqenJ6CNkZVNWQpiuri4MG7cOPr160e7du3ka00mE7Vr16Z+/fq0bduWvXv3smnTJnbv3q3aB4kxNSkpiTlz5vDpp5/i4OBQ7u9FjJG7d++W8RsxHsfGxgJo4+FdgBhDAgICVB2c4aq979ixg82bNzNmzJhyH2/Ed8bZ2Znly5fz2GOPcenSJZUf3mw2c/LkSX777TdatWqFo6OjNu7VQJRj5/X8Rz169GDw4MGl+o8yMjLkmBkSElJqYYPk5GTmz5/Phg0byr17rrC7evXq4eDgQH5+vqqpQX5+Pvn5+Zo4t4ZxMwU3RowYQYcOHWjTpg1FRUXodDp27drF2bNn2bhxoyw2pDy2GMe2bt1K27Zt6dSpU7m/BxsbG5ydnWnbti0xMTFAcQzfYrGQnp5e7ufU0NCo+WiZiRoaGhrljDKR/JlnnsFkMrF69Wr69OlTZueKJtDVKA/EZiY6OpqRI0dSq1YtjEYjI0aMoF27dhw+fFgmQwQFBUkhUEVTFoF6ZmYmL7zwAsePH5eJc2azGQcHBwYNGiRFmVqgvOYjHDliM56amqpyCCoRwcctW7ag1+uZOnXqbQl0LRYLK1eu5MSJEzKR8nY66GrUDESyg4eHBx4eHgAMHDgQuNqdLDs7m+TkZI4dO0ZqaipHjhwhKSmJ9PR0srKypANSiTIZF9Qddq275QhRhjJIbTAYyM3NJTc3l8TERAC+//57dDodtWvXJiAgAAcHBzp37oyfnx/NmjWjSZMm6PV66fi0TrAQ12D9PbJORhbXolG9aNCggRSbKZMndDod6enpBAYGVquKzQ4ODjg5OanExLa2tpjNZk3YoyET14TTWlnNUnSLLI0bCXStC3gog4nKjrmaMLdmU5aOuUIwGxwczOrVq2UhorLed3GO4cOHExkZybJly6Q4Q8yT586d49NPPyU7OxtQdzQv7/cq1ici4UmsgXNycq75Wi2Ro3IoizDXw8ODjz/+mK5du6rWhiJZ3Zpu3boxe/ZsXn31VWJjY+X9Vt77TZs2cc8995R7coRYh9ra2pZYV+Tl5RESEkL79u21JPW7AHHvGzduTMOGDWU3UmW3xy5dutCzZ89yOZ8Q6FosFhYvXqwJdDVKoBx3fvvtNzZs2MCJEydkh3sxpprNZplEK/bdynXCiRMnOH78OIcPH+ahhx6if//++Pj43PS4JnxXLVu2pGXLltx3332EhYXxxRdfkJ6eLgUXogOGtc9AvP706dOEh4fLLoIaVceNhLkrV66kadOmZTqWcl/Su3dvnn32WRYsWCCThiwWi9zXiw58FTGvenp64ubmRkZGhlxHCtH6pUuXNHFuDeR6durm5sbzzz9Pz549CQwMBJAxFLHfdnZ25rHHHqNDhw58++237Nixo9TE9KioKLZu3crkyZPL3dckzufo6Eh2drZMXjObzaSkpHDq1Kmb8u9rVD/OnTvH7t27pS9azInDhw+XXZOrM8JvoPnI7wyUY9iRI0do0qTJTcf2dDodubm5bNy4EbPZLMdfgA4dOtCtW7dSX3c9ga7Y20PFC3RLez+l/axR/bjVDrrKvY1SmGtra0tRUZHqZyHMFV0mb3fcu14H3dIEurNmzaJbt26aLVYByuL4OTk51y2YajAYmDRpEjqdrkTBVGuB7syZM1myZAn+/v5lEui6uroyatQo2TEyIyNDtT4U1/Dvv/+SmZnJ6NGjGTBgAO7u7uXmnzx58iTPP/888fHxKl+UxWIhODiYwYMHazl3VUBZ/O7u7u7MnTuXTp06yaJnyrFG/G5ra0vfvn2pW7cu9vb2/Pbbb6qiauLniIgIEhMTadCgQbnug5SCTED6A4QvKzExUYtb3mV07tyZ4cOH89NPP6kK/losFnbu3EnHjh1p3LhxuZ9XjHGenp4sXLiQF198kdjYWFXjCpPJxPr16+nduzf33HNPtco/0bgxZRk73dzceO655+jVq9c1/Ud16tRh0qRJdOzYkW+//ZY//vhDJdAVe5oLFy6wZcsWnnjiiQrxH9nY2ODk5EReXp5qfZCcnExoaCg+Pj7ldj6NiqWsBTdGjhzJ/fffT4cOHUocQxT57dOnD3PmzCEhIUGVjybG0UuXLnHgwAE6depUYWOYm5sbUJwLKtasp0+fBijTOlhDQ+PuQfMwa2hoaFQAYgEGMG3aND744AMeeOABQC3YKcsxdDodjz/+OGPHjqVBgwYAqs26TqeTAt09e/ZQWFhY/m9Io8YhFv0xMTGMHz+erKwskpOT+fbbb2XQBoqTuEUCRFnt82bJzs7m+PHjQHHykXDeK89bWFjIuXPnmDp1KocPH1YlxMPVTlLDhg0r9ypcGlWHXq8nKSmJBx54gCtXrkgRubj3SoQzBq5Wa/3qq69kt7yyohQtDhw4kEmTJtGuXTtVJV9rge727du1ald3EKUFOsS86uzsjL+/P0FBQTz++OO8+OKLrFq1iu3bt7Nlyxb+7//+jzfffJMBAwbQtWtX/Pz8SnRqVHbVBbXNKX8WwR/xvwjICNGuOG52djZnz57l6NGjLFu2jHfffZcJEybwwAMPMGrUKN544w0+/vhj/vjjD86dOyerrYo1QmloCRnVHx8fHykuU9pMQUEBW7duBarPvRNBRT8/P0AtFDeZTJo4V0PasEiGE2NhdnY2Bw4cUD3HGmUiz8SJE3nkkUdo2LDhNc9jNpvp2LGjFOYWFRVpAe4aTGUIc6F43NLr9QwbNkx2KFUWixEBpNzcXAwGA3q9nsLCQvbv319q4Y5bQZxLCEGUnQMAcnNzb/scGrdOWYLcnp6eLF++nO7du6uSxUqbs5WPdejQgTfeeANA2ray811kZCS5ubnlPvfrdDrs7e1p27atXIuKsRQgOTkZ0Ipi3U00bNiQAQMGAFdtUazzUlJS2Ldvn2pteru4uroyduxYXnjhBXk+4aOyFuieOnWqXM6pUTNQJtyuW7eON998k4MHD5KXlycThqDYryj2vso9sJjDxdh26tQpPv/8c2bPns2FCxdUvvuyYD0nBwUFMXr0aDZu3Mjrr79O7969VX4BISBW7vONRiN+fn6a2LwaUFZh7s3YiFKU3a9fPxo2bFhiLaDT6YiOjlbNteVJYGAgXl5e0i8FxZ2lU1JSgIrz/WuUPzey008//ZSxY8eqEivFXgmKi/PZ2NgQHBzMzJkzuffeewH1Pkf4Jo8ePQqUv6/JYDDg7u5O69atVY+L74ewTY2ah9lspqCggJ9++knamhjbevTowbBhw4DqM+6UNu4qr626+Fk1bh2lD2nWrFlMmTKFP/74g8zMzJs+lqOjI127dgWu+hZFB+i6devKc5WGcq06Z84cRo8eLX3kIt4j1opCoCt8l2L/r3F3IwS6Tz31FK6urnL+F3tk4e9cv349CxYskMIFKNkxV3ScqihhrkAp0BUF3sTj4ntpY2PDmTNnOHjwoDbeVgHifkdGRjJ27Fjmz59PREREqc+1Lpj6yCOPUL9+fXkc68LPoaGhPPfcc8TFxanGwOvh6+vLY489xn333YeLi4vquMq9/OnTp/niiy94//33ZTdz5XsqC8rxOi4uju+//55p06aphLlCeNS8eXNee+01WThTo/Ioq9/9yy+/pF+/flKYCyX91uJ3vV5Ps2bNeOKJJwgODgbU9mA2m4mKimL79u1A+a4FxXn8/PzQ6/XSRyTWBOHh4bL7nsbdQ8eOHeWeXWlvu3btYufOnUDF7J2Ej6B169a89NJLeHp6qopdi7Fw3rx5xMTEaPN0DaKsY2dZ/Ue2trZ07NiR5557jt69ewOo5nXhPzp27BhQMf4jLy8vWrZsKR9T5gunpqaW6/k0Ko5r2aZSmOvu7s68efN49tlnpTBXub5Tjof33nsvH374oSwAp2zyJNZxK1as4MKFC+Vul+I62rRpI88Nxd+Nixcvqh7X0NDQAE2cq6GhoVFhKJN87rvvPlld72YWgZpAV+NWEcLcsWPHSsEjQEREBL/88ouslKpMFIOKcfYUFhby66+/Mnv2bN555x2SkpLIy8tTJc3pdDqioqJYt24ds2bN4ujRoyphrtFoxMHBgVmzZtGiRYtyv0aNqsXGxkZuZIuKiqSowt3dnW7dumFvby9ts6IFukpHpCbQvXtQBmpKw9bWlvr16zNw4EDGjx/PkiVLWLVqFevWrWPTpk189tlnTJkyhZEjR9K4cWPq1q2rCm5bJwor/1fao1LcK5IxlJ3WhO3r9XpSU1OJjIzk+++/57///S8zZ85kzJgxPProozzxxBPMmDGDlStX8vvvv3Pu3DmSkpIq7gPUKFfMZjOurq7SQa50LsJVgY4yIb2qEY5G0YVHOV4D2NvbV82FaVQ7unTpgo2NjWqsTUhIAK6/RxJrQVtbW5588skbVg82mUzs37+fnJwcmTynUfOoLGGuNY0bN2bUqFF06dIFoNTx1mQyyTH5/Pnz8lrKe0y2ru6qCc2rjrIGuVeuXEmLFi1uyRb69evH0KFDVY+JBMaEhAROnDgBlO/cL+zLz89PtdYQ43RUVJSqqJbGnY24/0OGDKFRo0bSPkRy5dq1awkJCVHtX24XTaCrYY1yH71y5UrmzJkju9Yru5EpxyyxhxaPKQW7ykJZaWlp7Nmzh8cee4yjR4/eUjK6dTKwj48PY8aM4ZtvvmHOnDmMGjUKQArZDQaDnCeCgoL44YcfsLOzK1PCskbFcDPC3Ju1EfH8evXqSb+QQNhoREQEmZmZFbJuhKtiIlD7m0wmE4cOHVI9T6N6cyM7/e9//1uic+ONisE0atSIhx56CG9v71KLyOzevZuTJ09W0DuCOnXqAOrCCgChoaEAmiitBiL2wGfPngXUou+6detKf0x1SO4W3dHy8vL4448/CAkJAarHtWmUD9Y+pG3btpGfn8/XX3/N77//TkZGxk0dC+C9995j5MiRwNU4t7OzM2PGjJHFVa+FtUB31KhRcj4WicOaQFfjepQm0BV2p4yRr1+/no8++giAn376SdUxV9igEOlWlDBXcC2BrrB5o9HI8OHD5d5fo/JQ+jQnTJhATEwMx44d44svvuDSpUulvqYyBLqBgYFMnTqVIUOGyK64ysKBYj+TlJTEjh07GDNmDKtXr5aCIGHDSt+9Mq6uzKUD2LlzJx9++CELFiwgOTm5ROc2T09PFi9eLOOyGpXHzfjd27Vrd9N72tatW8uCG8LnKPw1Op1OimoqwufevHlzXF1d5R5InNfGxoa8vLxyO59GzeDhhx+mdevWqrFKzOmLFi1i9+7d5ep3t0av19OtWzdGjBiBo6OjHCfFXikpKYl9+/bJxzSqN2UdO4X/6EbNG5SPNW7cmBEjRuDp6anKJRbP+fvvvzl9+nSF2aoowKD06wMyPqTtmao3ZbXNpUuX0r9//2sW3FCuNwE6derEq6++Ko+hFMmKPY+wkYqY08UaUTk+GgwGUlNTtTldQ0OjBJo4V0NDQ6MCKQ/HtibQ1bhV/v33X1JSUuQmRGxMTp06JZMeRGWrv/76CyjfjjhiQxITE8PmzZsJDw9n06ZNTJ48meeee47NmzezdetWvv32WxYtWsSECRP4v//7P8LDw0sIcwE+/vhjunfvXm7Xp1F9cHd358svv6Rnz56YzWYKCwvx8vJiy5YtfPHFF/Tu3ZtatWpVmkBXjLmaQFcDrt9p19fXl9atW9OvXz9eeeUVPvjgAzZs2MDmzZtp3ry5KiiotCllt10x1okgkDK5Q9ip+CfGQ2WnXfE6GxsbCgsLuXLlCgcOHODPP/9k0aJFPPfcczz00EOsW7eukj4xjdtFr9fj7u5O+/btgZIVoA8cOMCWLVuA6pFEpgzegLoDJSALhGjcvQib8Pf3x2g0YjQa5WMnT56kqKjouoEUZYBy06ZN/Pnnn9c8j06n4/jx4yxevJiDBw9qe6IaSlUJc8XasGfPnowZM0Z2sBVrw9IKbezevZvvvvtO9djtnl8kRinXCQ4ODjRr1uy2jq9xa9xMgpAQ89yqLYiK0OI7oEwmS0tLA8p37hfHFh3JxbpSPB4eHk56enq1WG9oVDxi7RYYGEjjxo1lwphIHC8qKuLNN98kMjKyXG1CE+hqCJSV8NetW8fChQsBZHEXsd+wtbUlMDCQCRMm8Nprr/Hee+/xzjvv8Morr9CpUyfq16+vEuwq524bGxtSU1OZNGkSf/zxx21dr3U33dGjRzNnzhzWrFnDiBEjqF+/PkajkaKiIlq3bs2aNWuoVauWysY1KpeKFOYKhJ2KIoTK4xgMBjw9Paldu3a524BOp8POzo62bduqktqt1xHlLcTQKH/KWgzmZrsv63Q67r//fvlaMTYKezcajWRlZZX7+xF7HFFw9VodJrRCRDWTo0ePEh4eLu+fTqfD0dGRIUOGVGhieVlQnttgMHDlyhXeeustFixYwNtvv010dHSVXZtG+VKaD0mv12Nra0tMTAxffPEFv/76K1C2TotK2/3ggw8YPXo0AN7e3vj7+5fpmpTitLlz56oEuqLLtCbQ1bge1gJdIZwBSnTQnTRpEv/5z3+AYjEuUOEdc60pTaAr1qPDhg2T+7ubXcNo3DrWPs3k5GTs7OxIT0/n77//5uuvv5ZrMWsqQ6Bbr149nn76aR555BF8fX1VPnilIMfGxoasrCw++ugjZsyYwdy5c/n1119JSUmR8R/xPPFzTk4OKSkprFq1ijfeeINp06axY8cOMjMzpTAXrn6ffH19WbVqlfSPalQeFe13t1gs2NnZMWnSJAICAuQcK/zfFouFU6dOkZ2dXe7+b7PZjK2trfw+KG07KytLCs21Alp3B2IN+Nxzz+Hl5aXKrRBj1+uvv87JkycrNBbj7u7Ogw8+KGOfSsF6bm4uv/zyi+pxjerJzRYTvtm1l16vp3///qpxV4xfer2ewsJCcnJyKqxDqYiTWvuPROxc8x9VX8pqm99++63MhbsRSjvr3r273Pco51aTyURRURF79+4t8ZrywGKx4OTkhIODg8r/YDKZiI2NJSwsrFzPp6GhUfPRZioNDQ2NGoDS+fn4448DsHHjRiIjI+XjykrTX331FQD33HOP7NircfcxZswYCgsLWbhwobQTYUvKKtZwtaNufn6+7FB6uxsVIUCDq1XeTp06JcVo4eHhhIeHy02REoPBIJOHhBCtVq1afPLJJ9x3331AyQ5SGncGHh4efPjhh0ybNo3Q0FCWL18uA91vvfUWH3zwAbt376agoEBVHdhoNLJ582YApk6dWubgOBQH2XU6HQMHDgSudmY5ceKEtGFrgS7A4MGDcXV1Ld8PQKNGoeyIa42DgwO2tra0atWKsLAwVRJxnTp1eOSRR/Dy8mLfvn1kZWURGhqqEqYJuxRjphi/rcdtKA6AKoW7YgxVOs1HjBjBiy++WCGfhUb5I+55x44d2bp1qxzzxH01mUz89ddf9OrVi4CAgKq+XHm9qamp8jGRDFy7dm18fHyq8Oo0qgtms5nAwEB8fX25cuWKDLBERkaSl5enqoqpRLnuW7t2LXPnzgWQiWxKhAPebDZz6tQpuSfq1auXtieqQVxPmCsS0SpCmAvqteGDDz5IRkYGK1euJDY2Vo51yrlXzLl///03Xbp0kQlKt3N+UHeUFsK0WrVqacUOqoBbSRC6lSRHYXd9+/blv//9LxkZGSWKXuTk5JTre4PiNW3Lli1lgSxxLSLIrhU5uLsQiWMvvfQSJ06cICkpSe5FxL541apVPPfcc7i5uZXbeYVAF2Dx4sVyTBd7IKVA94033qBt27bldm6N6oMY73799Vc++eQToDjZRoyJ3bp1Y+DAgQwYMAAPD48SxxgzZgw5OTn83//9H//++y8JCQnSf2QymeTPBQUFssDWoEGDbivpzHrc79y5M61atSI3N5f/+7//Iy8vj3nz5klhrpZAVDVUhjAXiu24tHWbyWTC3t6+QgWyXl5eJTpFWSwWLl26RE5ODo6OjppfvRpTkXYq5vKJEydy4MABVYxI+MBjY2PL/T0JexNiB6VQw8bGhvT0dAoKCrS9Tg0lIiICKC4CbDKZMJvNMnZSleONOPfFixdlh0BR4LV27dpcunSJevXqye+GRs3kWj4k4TcyGAzExcXx448/Mnbs2DKPnUr/0Jw5c8jOzsbPzw8/P78yX5vwYxkMBunP3LJliyq2CagEumvWrJHjv7ZmrJkobfJ215VCoAvwzTffkJ6eLudspR0dOHAAQP4uRIqVKcwVKAW6CxYs4OjRowwfPlwlzNWKxVQO1/JpFhUVodfryc7OZvv27WRlZTFv3jzq1KlT4hjWAl24Wjw1KipKPq4sLikEukuWLMHf379Mc6yfnx8TJkygbt26fPvtt7Loh1inCns3GAwUFRWRkpLC2rVr2bhxI+7u7nh6etK0aVNq1aolx+6cnBzOnj1Lfn6+qri7iLuLdQtAq1at+OSTT2RzDI3KQ9hQdHR0he2BRHzd0dGRpk2bcvnyZVWhfoCioqIKKxpQu3ZtWrduLTuiKs+TkpIir1GjepOVlYXRaLwtX7gYC1u0aEGnTp3YsWOHXCuKMS41NZWFCxfy3nvv0aRJk/K6/BI0b96cZ599lqlTp8rvmxjHjxw5wg8//MCIESO0vMxqSmXELE0mE3Z2djz22GMcPnxY5WcU+RkxMTF06dKlXN+bsDcRa7f2H4miHFrOR/XkZmyzSZMmN22bYu0WHByMp6cnKSkpqn27xWJR5auVJzqdjoYNG1KvXj0pxBU5nUajkYyMjAo5r4aGRs1F83poaGho1BC0DroaN4OwiQkTJvDKK69ga2tbIilH/APYv38/27Ztk3+/XcQG6v3332fnzp3SoSNsWNntUSSACBtXXr+fnx9Lly7VhLl3CR4eHnz55Zf8/vvvNGvWTFaP9vHx4a233qJPnz6V2kFXCEC0DroaN4OtrS0AjRo1AlCNaxkZGTRt2pSJEyfyxRdfsG7dOrZs2cKGDRt4/fXXGTlyJJ07d8bJyQl7e3tVYhMUC2+VYyig+l8pHjIajQwbNoz58+errkWjeiPm0N69e+Pl5SUTKpSBu4MHD8qqulV9X8U4nJeXBxQ7RouKinB0dLym6FLj7kKv1+Pm5kbjxo3l2GZra0tubq6cu60rRF9PmCuea7FYcHR0BJCVrsX35eTJk3z11Vfs27dP2xPVEG4kzFUmWJa3MFegHGvHjx/PhAkT8Pb2BiiRdCSuedeuXWzfvp3c3NzbPv/58+dV3aHF59GvXz+ten8lU1nCXCi+zwaDgfz8/BLCXCheH5R3NX2z2SyFQspiMBaLhaSkJEJDQ8v1fBrVGzHG+fn5MWjQIGxsbFSJxUVFRezevZs9e/bIbjzlhdZBVwPg3LlzrFu3jtzc3BKFqIYMGSK7l3l4eKi6TAhq166Nr68v8+fP5/XXX2fAgAEAqg5kYt0gBLrCH1qeODo64uXlxZw5c/joo480YW4VU1nCXCiery9cuAAU79fFeObj40NRUVGZOkndDOI8Yr0ofEbi8bi4OFJTUzW/ejWmou1U2KCfnx8mk0mOi0q/Y3nsZ66Fk5OTqpsZXB2Po6KitA4TNRBhM2fPngWKxxyDwYCXl5fcQ1c1p06d4r333mPBggXExcVhY2ODwWAgKyuLTz75hJycHE2YW4O5ng/JaDTKmLTBYLilZFnlPPrpp58yffp0ed6yonXQvfMRNqLs8imwnq9vxZ9TWgddMW5Z24hS8C2EuWvWrKk0Ya5ACHRffvllZs6cqQlzq4DrCXNFjBmgsLCQHj16lCrMFVRGB10PDw+GDRvG0qVL6dy5s2oMF+tHcS5lbDwpKYkzZ87w008/sXnzZjZt2sTmzZvZvn07ly5dktcgXieOabFY8PLyYsCAASxZskQT5lYBShsdN25che7VDQYDdnZ2tGjRAlCPxTY2NtjZ2VXIelBcr5+fnyqeJB4XHSCrOsavcX0iIiIYN24cmzdvLhfRl7e3N4899hiOjo4q37ewg9OnT/PVV18RExNz2+e6Hn379uXJJ58EigstiWs4f/48oAnHqyOVFbO09h8p44ZivVkRxYQFtWvXVuUTi/NGREQQHh5eYefVuHUqwzaFPQQFBdGyZcsSee8A4eHhpKenV9he+lrC8JCQEIBy9/draGjUXDTPh4aGhkYNQhPoapQVpdD18ccfVwl0hY0ouzMCLFmyhCNHjpTbNcTExMjECiF0VHbjEZsS5YZJVHx1dXWlT58+fPTRR/Tq1Us+T3MA3fm4u7sTEBAggzjClr29vauVQHfHjh2kpaWV75vXuCMQtuTl5QUUOy/F/7t27VIJyJo2bUpwcDCPP/44H3zwAatWrWL79u1s2rSJ999/n+nTpzNgwAAaNGggO5CKJDpl1z4bGxv0er0qUDls2DA+/PBD+bsW+K45mM1m3N3dGTNmDLa2tqrCGiKRfO7cuURGRkobqCosFgtZWVnExsaqxEUA7dq1w9HRUXNEakgb8PX1BZCO+Ly8POmwVq7zbiTMFYHCBx54gOeff/6aeyJNoFtzuFFSZWUIcwXKvdQTTzzBhAkT5Lwu5lORpCmSKT/77DP+97//3fJ4J8bxkJAQVZBfXEfTpk1v5y1p3CSVKcxVYmdnh6Ojo0qIKzqeiMIv5b0n1uv1BAYG0rRpU5WfQFyDVpTo7kOn02Fvb8/999+Pra2tKvlXr9cTFxfH6tWriY6OBso34KwJdO9exHx35MgRTp8+LcchYV9Dhw7lww8/JCAgQM77YpyyTqIUx7r//vuZPXs2jz/+eInzKcdST0/Pcn8/yqrtyj27RuVT2XM5XE1yT0xMVPnghS3fe++92Nralnvyr7j2Zs2aYW9vL/1OUNzVQvNjVl8qy07NZjNeXl64uLioCv2JY1Zk99omTZoQEBCgEnCIgq3aerPmIrotizFH7JFFEbWqJj09nbCwMLKzs+W6VlxjTEwMhw8fBjRRRE3kRsXdoHi9ZzKZSExMJCUl5ab3Lsox18nJSXXcsnIjga7yu6MJdGsOYtwQNpKUlERISAjbtm3j888/59NPP+Xzzz/n559/Zvfu3RQWFkrf9M3GcqwFumKdoBQsCER3UdExt23btlUSG9Tr9XTo0EGK2rX4ZOVxPWGu8DGKseW1115j/PjxwPXtsjIEura2ttSrV4/Vq1czY8YMOnfuDBSLgIT9iDWHcqxXNgNQrnGF/15cg3htcHAwM2bM4N1336Vu3bo3/Rlr3B6V7XcXtlJakUERd6oIce6NCmidP3+evLw8bWysxkRHR/PYY49x4cIF1q1bx88//1wuAt327dvLmLe17zs/P5+9e/eyatUqEhISbvtc16Nnz564ubnJeKewxV9++YXExMQqzT3RKEllj50WiwUfHx+V/wiK/fAODg63/Z6uRbNmzfDz81Ndi8FgwMbGhszMzAo7r8atUZm2KdaFYh1qXdTazc0NFxeXco/DWCwW7O3tadmypeq8Yo0hCipoxd80NDQEWjRYQ0NDo4ahdH6K5KKNGzcSGRmpShQGpEAXrnZfq8jgukb1ozRb+fjjjykqKlIJeUSVq/T0dP73v/8RGBgoBWC3Q2BgIF988QXvv/8+x44dIy4uTm6UhBPcurqr0Wikfv36TJw4kT59+hAYGAhowtw7DevNdmmbb+vqwkqBLsDu3bspKCiQCW4imLR582YApk6dir+/f5mvSZk4OXDgQABWrlzJiRMnpK0qBbqffPIJRqORRx55RHZK1ai+VOYYIs7Trl07HBwcZLBHBFvCw8MxGo2yqpqyE5UYm318fPDx8aFx48byuFlZWeTm5nL69GkyMzM5cuQI0dHRXL58mcuXL6uCkQDDhw/XKlLXYMT96tSpk2qcE9UpbWxsSE9PZ+HChbz//vt4eXlV2Vyp0+mIiIjg0qVL8hrEvB4UFARojkiNYhvo2bMnW7duBYrn96SkJNVzb0aYu3jxYgAKCgrYsmULUVFRJfZEQqAL0KtXr2tWtdSoOm4kzBUFWypDmCtQ7qWefvppDAYD69atIy4uTjVni2swGo28++67FBYWMmjQIDw8PICyz8E6nY7Tp0/zxRdfkJeXJ9eeFouFDh068MQTT5T4rDQqhqoQ5or7evLkSZngoawIrdfrpU1VBHq9Hnd3d1XChdKvNHLkSNX+XePuoFOnTjz//PMsWLBA2r9ItDx9+jTz5s1j+fLlJfw7t4sQ6AIsXrxYjrPCdyUEugsXLuTll1+mffv25XJejapFCL+/+uorOQ+K/W337t155ZVXpA3eaB4UawYbGxscHBw4duwYUJykIRKTAb755ht69epVIfOr8nja3F01VIUwF2DPnj1S8AXF99/e3p4mTZqU23msMZvNODg4yHWkUpSUnZ3NqVOn5B5do/pQ2Z2dRWcoZWI4XN2z16tX73bfzjURonSlbQp/V0hICPfcc4+23qxBWHd4EnOsxWIhMzOT7OzsahGP7t27N2PGjOGbb76RoiS4uscyGo0cOHCAvn37an7zGkZZirspC/IK/01VjjHKPZPwc27ZskU+pux4KgS6a9askfOCVuSleiH2xZmZmZw7d46ffvqJEydOcOHChWu+pnXr1tSvX58pU6bQsGFDKWgo6z5ECHTh6h4mPT1d7pOVvhxRFGj58uUEBQVVqd1fr4uwRsVwI2Gucrx57bXXpL+5LOtMa4EuwKZNm1TxGBG3UQp0lyxZgr+/f5lsUTxnxowZPPjgg/z++++sXr2anJwclZ9AFB9Srj/E+1AWHBRzgXjPdevWpXfv3jzzzDO4u7tr+R1VQFX43YXdWcchxfkCAgJkk4vyHKvEsVq3bg0UN6wQ38WcnBzy8/MrVOCmcesobbRWrVokJSXxzTffoNPpGDp0KO7u7rd0XGEDDzzwAGFhYXz11VfS/oUNZmRk8Ouvv1K7dm3GjRuHt7d3Ob+7q/Ts2ZN27dqxa9cu6R/Q6XRkZWWRmZlZLjmjGuVDVYydOp1O+nFK8x9VZHELOzs7VfMqcT1Go5GQkBC6d++u5b9VEyrbNoU9uLi4yN+Vew57e/sKsQtxDmH3ymYBer2e+Ph4uR7V4kAaGhqgdc7V0NDQqJHcSgfdvXv3at2i7kKsO+jOmjWrRAdduGovRUVF/Prrr+zevZvc3NzbPrfZbKZOnTosWrSI+fPnM2PGDPz9/XF0dJQdH0UQHKBr165MmjSJdevWMX78eCnMFdenUXOxrjyu3AwLW1BSWhW+W+mgGx8ff1PXWZYOuuLaMzMzqVevnha4qSKsq+wmJiaSkJDA4cOHOXLkCJcvX1ZVk1Te28rC0dFRjnPKbqKpqaml2qYyWCgQ3x2z2Uzt2rXx8fGhX79+PPTQQ8ydO5fVq1fz008/sXnzZpYuXcpjjz3GAw88oAlz7yC6dOnC008/DaCyJfEdOH78OJs3byY7O7tK5kpxHfv27VMlCtnY2ODr60uPHj2Am68Gr3Hn4ubmBhTP/xaLhX/++YeCggJVV3G4vjB30KBBUpgLMHnyZMaOHauq2A5aB92awI26nZSnMPd63XDEeKYcr5R7qcmTJzNp0iRZOEMUbVEWUDCbzcybN4+lS5fyzz//yGOUdm7rxLnTp08zY8YMrly5okowcnNzY8CAAfI7oO2LKpaq6pgr7mt4eLi898qOi/369ZMVecsbYZvCtkXCkvhOiORSTShxdyHGqEGDBvHAAw8AqJJ+9Xo9+/fv58UXXwTU3aDKg+t10BXJSkeOHGHLli3aOvMOQIxDv/76K8nJyXIeNBgM1KlThwcffFB2ty3LPCg6j2VmZjJlyhROnjyJjY2NTCoSwtyvv/6a3r17l0jo1bgzqCphbkxMDBs2bACQa1Wxh+natavsAFUR6PV6vL29admypUqYJN5fRkZGhZ1b49ao7GIwAP/++y/JyclA8X5ZxGduNcH4RpjNZpycnGjatKk8LxSvN+Pi4gBtvVmTEHO36Foj7qler5fxx6pGXMOECRNo27atfFx03dHpdOzbt0/rClXDKIswV6DspGg2m+XYV1X3W+uge+dQVFTEyZMnefbZZ3nllVfYunUrFy9eBK4WoxC+TKWg4fTp02zfvp2JEyeyePFiDh06BFBC7HA9hED36aeflh10RYFKZRFgo9HIzp07pZhR4+7gej7N2xXmCsrSQVe5BwkNDeX5558nPj6+TH4jUZALoEGDBjz99NMsX76chQsX0qZNGykUMxqN8jqUviKRs2E2mzGbzZhMJurUqUP9+vV5/fXXWbRoEW+//TY+Pj5afkcVcD3xeEXvgQoLC0lISCgh8gK49957MRgMFZJLITrtQXHDDLj6WSQmJnLmzJlyP6fG7SHWY++//74U5hYWFmIwGEhJSeHrr79m27Ztt9xBV2mDw4cP56GHHgKQsVAxfqakpLBlyxa+++47uYYtT4T99+7dGyju7GwwGMjLy5O2qe2Tqp6qKiYMcODAAVUxYRGr1+l0Mt+jvLFYLDg7O9OsWTN5XijpP9Ly36qeqiy4ERERARTHLMXjPj4+FBUVlWusEoq/EyJGJcZMsZ+/cOECsbGxWg6HhoaGRCuxp6GhoVFDudUOuvfcc4/WLeouQ2krjz32GAAfffSRqoOu2KxkZGSwZMkS3N3d6d+/f7mdt2vXrnTt2pURI0ZQWFjI6dOnSU9Px87ODg8PD1xdXWnbti22traqqmwaNRtlQjlcFZFFRETwzz//EBUVhV6vp6CgAGdnZ7p27Yqfnx8PP/wwRqOx1AqVVdFBV6fTsWLFCk6cOIHFYpFJnJ9//jn33HNPeX1UGjeJcK5s27aN8+fP89NPP2E0GqVz0M3NDRsbG/r06UOTJk1kh2OR5FvRzjqz2YyXlxeNGjXi7NmzKsdMcnIyERERMmB5PcR1lna9ooKwk5OT7HzSt2/fEtehOSarH2UVV4nn3X///ezbt4/jx4+XqBCZlpbGtm3bqFevHgMHDqzUNZ5YO1gsFvbs2QMUBxeNRiN169alUaNG8lo1NACaN29O3bp1iY+Pl4lHWVlZmEwmVVeVGwlzP/30U6C4o6T1nuhaHXSXLVv2/+ydd3hU1daH35k0UkggjRAIAUINvYMIqAjSiQoKhCpNvCgKKljADtLBiyBF6SCg164oqAiKdEKA0EJJg/RGejIz3x98++ScSSGVJLDf5+Ehmcycc2bOmrX3Xnv91iIjI0MRO0oqlvLumGs+DmZlZWE0GomMjCQjIwOdToeTkxOOjo7Y2dkBeTvaq9c0Y8aMoXr16nz11VecOHFCM/dU/7xz504OHjxI//79GTFiBG5ubnn8szjPxYsXOXHiBJ999pkiSFJ3TmnRogWDBg2S4/k9oKKEuYIzZ86wbds2ILezj7guIZwtD8R7EJvd5hWwY2Njyc7OlklrDxjCR9WqVYs+ffoQEBBAVFSUJslSr9fzyy+/4OLiwttvv31POuhaWVkp6ypfX1/mzZsn55n3AcIPiQ63Yk1hMBhwcXFREiWLgvDNKSkpTJkyhYCAACUOYGlpqRHm9uzZUyPMFdeRkpKCg4ODLIpRhbnbWP7FF1+Uy1ielZXF33//zdmzZwFt8Rd3d3fGjBkDlH+sxsXFJU/BGYPBQEBAAGlpacq8V1KxVGQxGMjt3CTmnT169Ci3YjDi+kWBYXU3CZ1OR2RkpIxhVjHE/RKdvtTCsOjoaIKCgujVq1eFjqXCnmrWrEn9+vU5e/assr4XBZGuX79OVFSU7ApVRShKDEnMIdX7fKJA4MWLF/H19a3Q+Z15B12dTseePXsK7aBbmiJ1krLnzJkz/P7772zfvp3U1FTF/wn/ItYbQJ69HNEpcceOHRw+fJiJEyfi5+dXrPHP1dWVIUOGAHfWNOoOupBrY59//jlpaWm88cYbMi/oAaA8O+aaU9QOumKeefbsWaWDbu3ate8aNxLfGeHDmzZtStOmTenevTuJiYn88ccfSq5JdnY2CQkJilDI2toaKysr3N3dadWqFbVq1eKpp57Czs5OM9bLtf69p7C4u9hTKc810MGDBzl+/LjymPDblpaWNGrUCCgfu9DpdHh7e9OwYUNu3LihycszGAwlFnhKyg9hH507d+bw4cPKPFIUERQCXaBUHXQBGjRowFNPPUV0dDSHDx/OI9CNiYlh9+7dWFpa8tRTT+Hm5lZWb1OZU/r6+gK5ncfF3pC6oJek4qgMxYRBGz+CO6LuZs2alfo8hZ27Xr16yrnVj4v8EvOOqZJ7S0WKxjMyMrh161aepkBwJ1+yPPayha21bt0ae3t7MjMzlesRBT7KogmWRCK5f5DRO4lEIqnCFFegu3btWjIzM3niiSfkBs4DhrlA12QysWTJEo1AVySqxcbG8sEHH+Di4kK7du1KfV7IDWZ6enqi0+lo0KBBga9RL+olVRdhb2lpaQQHBysihbi4OOU56orPIiD+1Vdf0bZtW8aOHUvt2rXzHPdeC3T79u0LwObNmzl58iRwR5grxOtyA+feIWwqMzOTS5cusXnzZn766Sfl7+rOxklJSRiNRr766isA9u7dS69evXjqqaeoVatWmSaN54e4Di8vL01lSWGbZdGtRFy/eqNS7T+lL604bt++TXZ2NnFxcaSnpyvVmz09PbG0tMTe3l7z/IL8iHisadOmPPLII5w7d04jUBT398aNG2zatAlXV1c6dep0z+Z44vrWrl1LQECAItQ1Go04OTkxbty4fAstSB5sHBwccHJyUqpHWlhYEBkZyfnz55UuUsUR5gp7z29NpE4IEV0yzpw5w9WrV+VaqJIg/MisWbP46aefNB1z1VV427RpU6xkRPMCMfv27ePatWv8+OOPpKSkkJiYSHp6OjqdDkdHR6ytrWnWrBndu3enU6dOtGjRIt8CMXq9Hj8/P1xcXHBzc+OXX35RrsdgMCjzC4PBQHh4OOvXr2ffvn14enoyZMgQatasiaurKzY2Npw8eZLQ0FC+++47UlNTSU9PzyPM9fLyYu7cuUolVkn5UdHC3ISEBPbu3UtaWpqmY7PJZMLX15epU6cqv5fX2sPBwSHPOQwGA9evX+fq1avlttkuqbwIWxg4cCCnTp1i+/btmm7gIgHi66+/xsHBgZdfflkZb8vq+2Eu0BWJzq1atWLbtm3Y2NjIJPX7AFE449SpU4rtiHF8wIABODs7F8mu1MLcSZMmaYS5FhYWBQpzxd8Bdu/eTWBgINOnT8fDw6Mc37WkvAgNDcXf31+TkA531g5OTk5s2LCBJk2alGlcSNje+fPnWbduHcnJyYo/FPMIb29vpWuoiMWLaxCFKkvrO8XxGjduzK+//qqs0YVYo169elKYW0moqDlnYGAgGzduBNDMOQEaNmxYbvNM8T5EMrFYM4m1/pUrV7h16xZ16tQpl/NLyh4x9/L29ub06dPKvYQ7c8iIiAig4pO5TSYT1tbWTJ48mUOHDpGYmKj8Tay/r169SuvWreU+TyWnOMXdfHx8SEtL49atW8qaxWAwVJoO8mqB7gcffACgCHTVe6ZCoDt27Fgp0K0k7N27l61bt3L27FmysrKU+2Xe/Va9bhaYTCZlvM/Ozubq1avMmTMHe3t7+vTpU6zrKEygK3I9RPFAnU7HnDlzpED3PqYwYS5QpsJcQXkLdEE7hzAajdjb22Nvb68UPMrMzESv1xMZGan8bG1tjZ2dHXZ2dkq30rsdW1L+3E2Ym52dXa5roLCwMHbt2gXkzv/EfuPDDz9M165dgfKzi2rVquHo6KgZE8S5zpw5w+DBg8s9b0VSfNzc3DTxFMiNH5aFQFfMbTt37kxsbCxxcXFcunRJ40P1ej1RUVFs376d7Oxshg8fXuZFhdR7QpC3S6mk4qjoPcvAwEA2bdoE5I77wk5EUYPyQLwPd3d3IG/86PLly0RHR8u4fQVS0aLxQ4cOERAQoDwm/tnZ2SmNI8oLW1tbDAaDsgaEO/4zOTmZgIAAmjZtKmNLEokEkOJciUQiqfIURaArkkHOnj0rk9EfYPKzFXOBrtj8i4qKYubMmaxcuVLpyFga1JVhi/pcSdVFBJBjYmL44osv+Pvvv7ly5Yqy4FZvEqoXy0ajkdOnT3P69Gm+/fZbli9fTvv27fNsGpaHQNdkMpGWlqaI5swFujk5OaSnpzNt2jQpzK0AhO+Kj4/nq6++Yu/evQQFBWkq4qmrUIuAtbCrgIAALl++zL59+1i0aBGNGjUq1/snrlcIzEUQSmy8nDhxgiFDhpSpgNa8OqC0zfJH3Ofs7GwMBgM//PADERER7N+/n9TUVFJTUxWRjaWlJc7OzlhYWPD444/TqFEjevToQY0aNQqdlwk7ff755wkICODAgQNK9T11IPP8+fOsXLmSOXPm0Lp163smhg0KCuKff/5RPg8x53R3d1c68ElhrkRgNBqxtramSZMmnD9/XungZDAYiIyMBEomzIWC10QhISEAyjGGDBnCiy++eC/ftuQupKenK35EJA6JDb6cnByaNWumJE8UJQlRzENTUlI4cuQIP/zwA7/++qvyd7E+Fj+npaWRlJRETEwMhw4dwtPTE19fX2bNmoW7u7syNxTrJZ1OR48ePahTpw7e3t589tlnSiIo5M5HhH2HhIRw48YNDh8+rFyDOkFKIDYYRTJpzZo1+eyzz/D29i7NxyspAsJ3hIaG5tlIhDt25+bmxueff17mm9zCpk6dOsUPP/xAVlaWcmxhpz169LgnxS6aNWuGi4sLiYmJGrFQTk6OrPj7gKIWi82dO5fQ0FAOHTqk2KYYo9PT0/nyyy+pVq0azz//vOL/yrqDrl6vZ9myZTRu3FgKc+8z9Ho9sbGx+XYMqVu3rvKcwiipMBdy/e3y5cv59ttvSUtLo23btgwbNkwmSFYxoqKiGDBgADk5OdjY2JCVlaXE9+COP8nOziYrK6vMBArCD928eZM5c+Zw69YtJe4pxlFbW1veeustJbEM7vhY8/WMOcUd+4WtqgtqiHXQ0KFDlRiqjGdWLBWVWJmYmMivv/6qFJETMUqj0Ujz5s2ZPHkyUD72Id5H27Ztsba21iR1iu9BZmZmmZ5TUr4IO3F0dNQ8LuaBv/zyCwMGDKBGjRoVc4H/jxgDatSoQfXq1UlMTFTsXyT4Xr58WXmupHJSmDBXxFHUxd127dqlFIFTz/nOnDkDUCnmd1KgW/XYuXMny5YtIyUlRdP1UB0DFI+ZC3XF38T4J57XsmXLEosbhEDXZDKxfv16jUBXbUc7duwAkALd+5S7CXPV/qSshLmCogp0xc8lEeiqz6XGZDJhZWWFXq/Hy8srz/OFqEyueyqewuLuIlbj5ubG+vXry2UNlJ2dzd9//01gYCCgtQ1XV1f8/f2Vx8tjbiAKJtSvX18pcq0WPV69ehWgwuclkry0a9cOe3t7srKylO65IlauFuiaTCaGDBlSbIGuOhdtwIABpKamsmHDhjw+VK/XEx0dzZdffklWVhYjRowoVlOKu1GzZk2lC6QYL+DOvi1IP1pRVLQwNzExkb179+YbP/L19WXSpElA+caP2rVrp6x51PEjk8kk40cVSEXbZmhoKDt37gS0BTdMJhOdOnWiQ4cOZXYuc0wmE3Xq1MHHx4eLFy9quo0DSqMi6TMlEglIca5EIpHcFxQm0FUntA8ZMoSXXnqpgq9WUlaohY1FXdCY24pOp2Px4sX5CnRv3brFyy+/zIoVK8pEoCt5MBDB65s3bzJr1izOnz+vJMOpq1SrK6mDdiPIwsKC5ORkLly4oHTRM6esBLoiYPTzzz9z4cIFBg0apEliE9c1YMAAOnbsqCTSyUDkvUPcg6ioKBYuXMi///5LQkKCZtMb0CRcip/VdpWRkUFQUBCjRo1i1apVdO7cudzuozpoKCoKQq69x8TE5BHTSqoeer2eiIgINm7cyLlz5wgICNDYoQgI5uTkYDAYuHnzJkajkU2bNmEwGPD19aVJkyZMmTIFFxcXnJyc8pxD+DMLCwsWLlzIpEmTOHv2rCLQFTas0+kICAhg8eLFvPbaa7Rs2bLck3SysrL45ptvlM7n6grcU6ZMkYIySR6Eb2zRogXffPONsolpMBiIjY0tsTBXfXzzNdHu3bu5fv06AEOHDmXhwoVA2SSgSEqP0WjE1taW//73v8ycOZOYmBhNshrc8YO3b9+mevXqRRbmxsXFsWjRIk6cOKF07BFFO9TzUHWxGOHDoqKiuHnzJsHBwQwYMIChQ4fi7e2t+Fvxf8OGDXn55Zdp1KgRCxcuJCEhQdl8MhqNmqIhIlFUJO2JTXX1/+I9GwwGvL29Wb16NT4+PuX46UsEer2eGzduMGrUKOLj45UkNjG+6vV63njjjTLvsieOdfXqVRYsWEBsbGyeLnu1atViyJAhWFlZFemYpfFtDg4OmgRhYY99+/alffv2JTqmpOqjTiT+6KOPeOmllwgICFB8qohHJSYmsnPnTvR6PVOmTNHYUllQo0YNhg0bhouLC4MGDZLC3PsIMa6KTnbW1tZkZ2crBQJcXFyAwv1bSYW5YpxOSUnhvffe44cfflDG6V9//ZVhw4bJBMkqRkJCAo0aNeLixYtKwQt1/DwkJIQ333yTt956i44dO5bahwg/lJiYyKRJkwgJCcmTGGRhYcGbb76JTqfjp59+4ujRo2RmZpKRkUFWVha1atXCyckJDw8PmjZtir29PT4+PlhaWuax+aL4VZPJpHQ+EXPSIUOGyHVQJSG/5DVASV7btm0b9evXL5diMKdPn+a7775TOosBypzvoYcewt7evtzj3Q4ODkoxJjHPNplMJCYmEhQUVO4dLiRlT+fOndm2bZvib0ViYkhICPHx8dSoUaPC/Y5Op8Pd3Z1u3boRFhamzAPEPDc1NbXCrk1yd4rTMbdt27bKXowoMKXuaHrr1i2g8ghgpEC36rBp0yY+/vhjAGX8Er5NiGHhzlrGw8MDFxcXDAYDCQkJREZGKs8Rr83JyaFx48bMmjWL+vXrl/i6XF1dGTp0KEAega6wESnQvX+pSGGuoCgCXfU5z549y4svvsgnn3yCp6dnieNGd9tfF8eUe/AVi1qYO3LkyDw2mpOTQ/Xq1dm0aRM+Pj5kZ2cXOQZe1HOfO3eOdevWkZSUpMTdRbfeBg0aKDlBajtUzz1Kuz4S34HGjRsrxxPXAZSpyFJStnh4eFC9enUiIyM19gDaDrrr169Hp9OVqIOuOs9z+PDhZGVl8fnnnyv5JOo9xNjYWPbs2UNSUhLPPfecZs+yJIjX3rhxg9TUVI3ftLCwUGxW+tF7T2HiR8gtJrxlyxYaNGhQbsWEv//++3yLCXfv3h1bW9t7Ej8S71nYpclkIj4+nqCgIJmHVAFUtDA3KyuLv//+m/PnzwPaghu1atVi7Nixmussa4S9e3p6cv78eeV3Ma8IDg4u04KgEomkaiMjdhKJ5L5A3bmsrAI2VY2CktGvXbuGwWCQyej3AeaLW/U9zO9+FrQYVtuKWJwUJNC9efOmFOhKiozYRAkLC2PixImEhoZqktpFkqM6UU29kanemOzTpw/PPvtsoZsyxRXomkwmJk2ahJeXl3IeS0tLDh8+zKxZswAIDAxk6tSpdO/ePY/43bzDhaT8EZ99eHg4M2fO5Ny5c5rESrUNqRMt1AIY8XxRSTc5OZn//Oc/rF+/nrZt25ZrpXSREJmTk6PZLLx27RrJycnY29tXmmQQyd1Rj6vXrl3j33//Zc2aNcTGxirPUYus1AIwIbpS28Hly5cJCgrizz//5NNPP6Vjx475nlds1Dk5OTF79mzeeecdrl69qvGr4ntw8uRJPv74Y1588UU6dOhAtWrVyi04vmXLFrZu3QpoN/qHDRvGo48+muczk0iEPQiRhdpvr127VhFllESYK8hvTfTpp5/Sq1cvuRaqhIj70Lx5c5555hm++OIL0tPTNb7yxo0bbNiwgSlTpihdbPNDjOdRUVE8//zzXLhwQfmbueDXPMFCvF74VAsLC27cuMHWrVs5c+YMM2fOpEWLFvn6tEGDBlGvXj3+97//ceDAASIjIzUJlmJzSPhIYdtqYa745+bmRrt27XjttdfyrfovKR8yMjJYtmwZ8fHxipgLtMkWK1asoG7dumW2Jha+LCYmhunTpxMeHq6skcTfra2tWbNmDT4+PkRHR5OSksLt27extbUFoFq1ari6uqLT6ZTHxHdKLbAtyjhsMplwcnKiXr16yrxGiHkWLVqk/C59Z/lRGbo3FYS4Lnd3d1566SXmz59PcHCwYg9i7I2KiuKLL74gNTWVV155pcwFus7Ozjz99NNA0TqpS6oGwkclJSUBuesmddEKKLhzbmmFuZGRkcyePZujR49qROcnTpzg1KlTsjhBFaNJkybMnz+fBQsWcPz4cY1oQiRyXblyhY8++oi3336bDh06lNiXCD+UlJSEv78/165d04zlAktLS7Zs2cKVK1eKfOyWLVvi6upK586dad68OR4eHjRo0CBff2o+Put0Opo1a4anpyc3b96UY3klIiQkBH9/f03ympirWVpaMmLEiFIJdPJDXQzmo48+IjY2VrFTkTjn5ubGk08+WWDymHosL40NGY1GPD09adCgATdu3FC+myaTicGDBzNo0KASv0/JvUeMo/Xr18fS0lIpzgp35o7R0dGsWbOGRYsWVbjfEXarjkWJNTjA7du3K/LyJIVQXGGuEK7CHRHMn3/+qRE1REVFER4eTt26dSvybWm4m0BXFJUTAt1x48axefNmpQt5RX+/HgQ2btyoxJTNu9+K2E3NmjUZNWoUXbp0oVWrVpqiqqdPn+bEiRNs27aN5ORkMjIy8Pb2ZuLEibRr167UeydSoPtgUpg4Qu0nofyEuYKiCnSFLz537pzSQbc0Al1J5UcUuB4+fDhJSUkacZmYj7m6unLp0iV8fHywsrIqExsVvi8yMpI5c+Zw69YtxS/qdDqys7OxsbHhrbfe0uT+CNR+OT+RbnH2vcVzq1evrnwm6iJaH330UbGPKSl/cnJysLKywtvbm8jISOW+qfcXzTvoAiUS6Kp9qL+/P1lZWWzcuJHo6Og8At2EhAR+/vlnEhISeOGFF2jWrFmJbUedqwK5+6PiO1qrVq1iH1NSNojxvbD4kb+/Pw0aNCjT86rjR/Pnz8+3mLC7uztDhw4t9/iRyWSibt26eHt7Ex4eruSTGI1GBg8eTP/+/Uv8PiUlQz33zM82c3JyqFmzJlu3bi1z0bg41vnz51m/fj3Jycl5bLNBgwZKwXP1WKvuvlzacVbYd+3atYHcgodiL8DJyUmusyQSiYLMYJBIJFUe9QRwx44dDB06FF9f34q+rAIpz8BKQcnoPXv2lMnoVRi1+Nza2pqTJ08SFxdHWFgYKSkpVKtWDVtbW3x9fXFyctJUMSuqQNdkMrFkyRKlQxAgBbqSYiEWvhEREYwfP56IiAhl00/8L2yrVq1a2NjYkJqaqnTLg9zKVj4+Pnz00UfY2dnd1WcVR6C7Z88eMjMzGTZsGJ07dyYrK4u//vqLF198UTnWsWPHOHPmDG+88QYjRoxQHpfce8S9DwsLUzqQiGRZtQAS7tiOqBguXgu5m+UCYY+3b9/m+eefZ+fOnTRo0KDcxuZ69erh4uJCYmKiErQ3mUyEh4cTFxeHo6NjmZ9TUj6obeT3339n9+7dHD9+nLS0NE0CrrA388rN6g0b4Q+FvbZr1+6u1R2FH2rZsiXPPfccq1evJiIiQrOxLb4bAQEBLFmyhJEjR9K3b99y6VKxefNmlixZAqB5/40bN6Zv376KMF1uJkrUCHto37497u7uxMXFKclMycnJQOmEuQLzNVHDhg3p1asXINdClRUHBwf69OnDkSNHOHnypEbUmp6ezu+//06PHj3o2LFjvgk7amHuqFGjiIiIUI6h9pPq44pkcECTnKEWzt6+fZvDhw9z69Yt5s+fT9u2bfNNxGjdujX169fH39+fxYsXExwczM2bN5Xjq69F3YFXXUCkW7duDBkyhF69ehV7A19SOqysrHj66adJTU3ln3/+AbRzSEtLS0JDQ5k5cyYrVqygZcuWpTqfWswzfvx4rl+/nkfMo9PpaNu2Lfv372fp0qVcvnyZ7OxsZd5hMpmws7PD0dERKysrWrRoQZ06dWjWrBmtW7fGzs4OBweHPHMRdeEhNWJTv2HDhpw4cQJAinnuIWqBzNq1a+nXr1+l7Zzdrl07Jk2axJo1a5T1GeSOvYmJiWzevJn09HTefPPNMhfoCqQw9/5D2Ii64rnJZFK6nuVHaYW5AKGhocrrxPnFmu3q1atSnFvF0Ov1NG/enDlz5vDxxx8rAl31uC4Euh9++GGJBbrqsXzUqFFcvXpVU4gQcu0sMzNTEeaKjtBi3imeI65RHPv8+fOYTCYOHDgA3BFd+Pj4ULt2bR577DFcXFzo0KGD8p7NsbS0JCEhgT59+sixvJKQlZXF66+/TmxsrNIhXCB8zu+//46bmxvPPvusZk1bUoSdxsbG5ikGI85pbW3NJ598QqNGjYiLiyMtLY3ExET0ej1OTk7o9XosLS1xd3dX1khqinONer0ea2tr6tSpw7Vr15T3LuecVReRMNuhQwf+/fdfjeAa7hRB/ffff3nooYcqVHAgrqdOnTpAbmFFdaEu8TwZx6w8lFSYK3yfKHagLvgSGRnJjRs3KpU4FwoX6KoFdtbW1pw+fZpBgwbxyy+/SDHbPWDnzp1Kfo06biPui5OTEyNGjKB3796a/Al11+P27dvTvn17unbtyr59+/j999/p06cPjz76KNWqVSuT65QC3QeL4nTMnT17drkKcwVFEeiqY+5SoPvgcPv2bU0uB2hjMtevX2ft2rWkp6fz9NNPl3odJHxeQkICzz33HCEhIRr/LZoIzJ07F4PBwPfff8+xY8dIT0/HysqKzMxMrK2tqVu3Lk5OTtSqVYsWLVpga2urKfQCud+pwq5XPLdFixY4OTmRmpoqC2JWAUSMqG3bthw9elTjv9R5IOUh0J0wYQI6nY6tW7cSERGRR6B7+/Zt/vzzT8LDw3n77bdLFbeMjo5m//79ynsW66OWLVvSsGHDEh9XUnJMJhPZ2dnMnDmz0PjRvn37cHNzKxO/CYXHj8Tf1fGj+Ph4MjIylNwOJycnLCwssLCwUHxlaeJHOp0OGxsbPD09lT0oo9Eom1JVIKLYlZ+fH+np6djY2JCZmal5jo2NjTKfK6t7I2zz5s2b+RbcyMnJwc7Ojjlz5mgKboh4gcB87Ibix4DEe2vXrh1btmxR4hFGoxE/Pz/eeeedEh1XIpHcn8gsBolEUqURk6bQ0FCGDx9OcnIy6enp+Pv707Rp04q+PCA3yS49PR1bW9tCBZNlgXkyuo+PDz169ADk4qQqobaRnJwcwsLC2LhxI9euXePUqVP5vkaI1nr37k2DBg2YMGECtra22NjY5HvvzW1Fp9OxaNEiZWNTdtCVFBURDIyJieHVV19VhLlqYayjoyNPPPEEDz/8MN27d8fBwYGUlBSMRiN//fUXZ86cYdu2bXh4ePDee+/h6OhY5M2Y4gh0v//+ewIDA3Fzc8PCwkIJqIqqXpaWlmRmZvLRRx/h5eXFQw89JBfOFYB6fB8zZgxRUVF5OjtYWlpiYWHBsGHDaNq0KV26dCE5OZnExESOHTvGoUOHlGqPkJt4I16bmJjIvHnzWLFihRIkLGtcXV2pUaMGcXFxwJ2gj5WVFSaTibi4uHIVBkvKDvU9+t///seiRYtITk5WNl3U4i91p0SxiSH8j6iep+6W6OjoSJ8+fXBzcyvStVSrVo3evXtz+/ZtNm3apFRsFccVCb4XLlzgs88+48KFC0yePBlPT898309RUM8hkpKS2LlzJytWrFDem1q8NGDAAHr27FnkY0seDMxtrlq1asr3RIzT6ueWRpgrUM9zpTC3atCsWTMmTJjAyZMnlfst/EtwcDBr166lY8eOirjCXHQbFxfHiy++mO88VODo6Ii9vT1WVlY4OjoSERFBSkoKGRkZynPUVbDV3dLnzJnD0qVLadGihfJctV07Ojri6OjI6tWrOXfuHH///TeHDh3i2rVrZGZmkpOTo7F1JycnAAYOHIiPjw/+/v7l8KlKioKFhQUPP/wwVlZWGAwGjhw5ohnPhS2Fh4cra+KSCnQLE/NArr80mUwEBARw7NgxzXWaTCaysrKAOyIPMce8cuWK8lpHR0fc3d3p3r07Hh4e9OrVC1tbWzw8PIC83XXVXV9EFX8/Pz8+/vhjQPrO8kbch+zsbEaNGsXZs2cJDw9n6tSpZd49ryywtbXl8ccfJzU1lS+++EJTLEb4z8zMTLZs2UJcXBxLly6VCZaSPHPB/NYjwv+IsVsIfE6dOkX//v014kUoG2EuQOfOnenQoQOHDx9W/K+4hpMnTzJ8+HDpB6sYOp0OX1/fPAJdYVN6vb5UAt2iCnPz+9m8GIz5ccXz1d0nc3JyiI+PVwobfv/99xiNRlq0aIGrqys9e/akQYMGeHt7U6dOHUwmEw4ODixYsIB+/foBciyvDFhbW/P2228zZ84crl69qinaI5J6L1y4wPbt29Hr9QwfPrxUCZbCTpOTkxk3blyeYjDCDtu0acOBAwdYvnw5ly5dIisri/T0dOBOUp3JZKJatWo0bNiQ6tWr0759e+rXr0+9evVo2rRpvrGlgq5ZzHlEfEompVd9dDod1apVo02bNvz777+a4lNwp1v0vn37lP2VioqBi/mDOhlTXbyrZs2amr9LKp7SCnMBzX6PeK3BYODmzZt5zlEZuFsHXXVHnoYNG8o11j1g3759rFy5Esi9P+LnnJwcXFxc+Pjjj2nXrp1SqFSMZep5pXhMFPYbPHgwLi4uSlywrChMoKuOkUqBbtXmbsJcyF1XvPHGG0ozh3sxz5ICXYk5JpOJZs2asWnTJl555RVCQ0MVO4Bc33rp0iW2bNmCyWRi2LBhJV4Hqdfqo0eP5tq1a3nW6uJ5mzdv5sqVK5r9I/U8Vk316tWxsbGhW7duSqy9du3auLm5YW1tnUfkk1/8ydnZWSmYINdAlR9xL9VCL7UYF7R7K2Ut0B0/fjxWVlZs27aN69eva4rOie7PQUFBTJgwgcWLF/PYY48pc4+i2JR4zoULFzh//rzymPDRrVq1UtZIknuLTqfD2tqaN998kzfffFMRpprHj86fP8+2bdvQ6/U8+eSTZRI/SkpKyjd+JGjXrh0HDx7kk08+4cKFC2RmZipFNW1tbYE7cSQfHx8cHR1p3749DRo0oG7dujRp0iTfcxc09hcUP5LC3IolJCSE+vXrK/ffvBhmZGQkEydOZOXKlWXSVE1dcEM0c1GP62If580338Ta2prffvuNkydPkp6eTnp6OiaTCXd3d+zt7WnQoAF16tTBwcEBHx+ffPOOijoXFQ1YsrOzlaKDcj9dIpGYozPlt7KQSCSSKoBauDNy5EglKRFg2LBhjBkzpsIFumLiFhYWxuzZsxkxYgRDhgwByn/jx3zCJyeAVQf1vTp58iR//vkne/bsISkpCchNplUn0orH1MnnTZo0oXv37gwbNqzQrivq823atImlS5eSnZ2dJziak5ODp6enFOhK8iUtLY1Vq1axfft2JWFcvUm5cOFCWrdurekUar64PXjwIAaDgW7dupWoYrCw5ejoaD788EMOHjxIRkaG4mtFIp46GUQs2NVd1HQ6He3bt+e9996jQYMGpflYJCUgv81Fc2Fu9erVGTRoEH379qVbt275HiczM5MFCxawf/9+JYlR7ddMJhMuLi68+uqrPPnkk2U+ThqNRrKzs5k8eTLHjh3TBEWNRiMzZsxg2rRplS4RRKJFfX+2bNnC/PnzAZQuteokX7EJ3rhxY6pVq6YIaFJTU/N0ExcJNWrxYXFsIT4+nl27drFr1y5FoKs+hjogWbduXebOnUuLFi2oUaOG8jzxPgpD/b34999/+fHHH/n666+BvB1OR48erRRIkPNOCeQGzbOysrC2tlYC9Hq9nlmzZvHzzz8rft28K3pphLmSqofa/61fv56lS5cCuWJEuONXnnvuOV5//fU8r0lNTWX+/Pl8/fXXih0J2xKbgQMHDqRr167Uq1cPS0tLbG1tiYyMJC4uTinecvr0acWHqucMcMdfdu7cmblz5xa4tjL3fSkpKSQkJBAWFkZYWJgi/rSyssLX1xc7OztNxxY5J6hYDAYDR48eZd26dRw5cgTITRJSJwLXrVu3RALdu4l5zBPW1V1u1bZoLvZRz0nUXXUENWrUwNLSki5dulCnTh3atWtH06ZNcXZ2zrPm2r59O+fPn1fmO3I8L1/U65sxY8Zw+vRp4M7m7qOPPsq0adMqpUAXICEhga+++oqdO3dy8+ZNzVwUcu23e/fuvPnmm3h7e8ux/AHDfEzLyMhQkjZE8rqasLAwhgwZQlZWljJnNJlMtG7dmp07dypzArVvLK0wV/hlMfcwL5bQsWNHtm3bVi6fj6T8MZlMBAUFKQJdMV4Kga4oEtS4ceMiC3TvVmRDIBLmhBDCaDRiNBo1lf0BJbHS/LrFMcTP6i4pgPIexHcFoG7dutSpUwdbW1veffddpSiHHMsrB+rk15dfflmTYAm54ybc2dMZM2YMw4cP17y2qBSnGIw5Yr0ivi85OTkFJqh7eXlRq1YtHnnkEdzc3OjataumS4b5exf/f/PNN7zxxhs8+eSTLFiwoETvUVI5ELYUHh7OlClTuHbtmmJbaiHb+++/zzPPPKN5TUWwY8cO3n//fcUexbU+//zzvPzyyxVyTZK8lIUwFyAuLo6nnnqKmJgYjR/q2bMnq1evrrRrE/WeqXj/4lpzcnI03aJkDKn8CAoKYtGiRRw7dkwzDgo7dHNzY+3atWWSdF7WxMbG8t133ykCXfOkeREzGjVqlBToVjEKEuaK+ZrwByaTiQ4dOrBq1aoKEVepfe6mTZsUgS6Q7/y3ZcuWUqB7HyNs89y5c8ycOTOPQFe9DmratCljxoxh2LBhQPHWCEVdq4trUq9P1HEm9R6mukC3eiywsrLC2toaX19fmjZtio+PD507d8be3l5ZhwvEcVNTU3nkkUd47LHHpLisCnH58mX8/f1JS0tT8jK9vLyoV6+epsCrOlfExcWFyZMnM2TIkGILdEFrF9988w27du0iICAAQGPT6jF98uTJ9O7dm7Zt2wJFmyNevXqViRMnEhkZqdmjatq0KatWrcLLy0vONSsI8bkHBgbyyiuvKMVR8/ObzZs3Z+zYsTz55JNA+caPzONIIn4EufaYX/zIyckJb29vatWqxaOPPoqLi4sSPzLHPH60e/du5s2bJ+NHlYScnByOHz/OmjVrlMLS+a01vLy8Si3QLUpxTLgjDK9fvz6XLl3SxMkLwtbWFl9fX5ycnHjkkUfw9PSkSZMmmmIMhRXbgDtdx/38/IiPj5cFNyQSSYFIca5EIqnSmAcfTSaTsgCtaIGuWpg7cuRIYmNjady4MdOnT+eJJ54A5MaJJC/qyfq3337L559/TkhICFlZWYqop6DFr7qyvjiWhYUFTk5OvPPOO0q3Ushre+YC3SVLlmg66IIU6EryR9hOYGAgb731FleuXNFsljs7O7N27VpatWqlvKYw+yvtxotaoPvRRx9x8OBB0tPTle+H+Xcmv41VJycnVq1aRadOnUp8HZKSkV/hDSF4FD7Q2dmZuXPn0qlTJ1xdXZXXqX2g2o42bNjA7t27CQ0NzTfp8eGHH2bDhg3l9p4WLlzIxo0b84hz1UJGSeVE7as2btyobJhZWFgoibYmkwknJydcXFyYMmUKdevWpWPHjprjpKWlcerUKW7cuMGePXuIi4sjNjaWpk2bsmnTJmrWrFki3xcXF8ePP/7Itm3bCAsLUxLW1Qm+YjPIxsaGPn368PDDDzN06NB8O1dlZ2djYWGhCRqmpqaSkZHBf//7X06ePMmVK1cANEnFRqORwYMHs3jxYqD0flxyfyDsIDQ0FH9/f+bPn0+PHj0UP/j5558rNmMu9JbC3AcT4Yvi4+P56KOP+OmnnwA0CRJ16tRhzpw5PP7440DuvOHPP/9kwYIFylhvaWlJdnY2Dg4OzJgxgy5dumgq86oFj8L/GQwGlixZwt69e5WiHupNJZPJhK2tLf3792fmzJnKHKSw9yI3YqoeBQl0zTcXiyvQLWqXPfG/uRhHXVwmv65T5scw36xXFyiytrbG2tqaevXq0aFDB+rXr690vXdzc1MEu9J+7w3Z2dn4+/sTGBioKeDi4OBA7969K71A9+eff2bLli2KyAhyk9zEuN6qVSsmTJhAt27dqFmzprStBwD1PQ4LC+PatWts2LCB9PR0HnroIV555RWN0NBkMhEdHc1TTz1FXFxcnsQ2dccfMccsrTBXzeHDh3nuuec0BTrgTkeAbdu2ydh9FaYsBbp3G8tF0q6I+YgYlqOjI9nZ2UohTFHQUCBeJ+xYPeYLCuo8rS7QId7LgAEDWLZsWVl/lJIy4F4IdItSDEaNeaEX8Zi4HnPEXFgtvBS+09vbGycnJ3r06EHDhg1p2rQp9erVw8LCQhMj2rlzJ//88w+rVq0q1nuTVF7S0tKYOXMmBw4c0HQfEz97e3vz/vvv06VLlwq5PvG9eOedd9i1a1eeIqBvv/02o0ePlvv1lYDChLnmhQMKE+bCncKWzz77LGFhYZr76uvry5dffomVldU9fW/FQR1bnzdvHrt37wbAz89PduQpZ8TnunbtWlavXk1mZmaeIoCurq7s2LGDevXqVVq/UZBAVxRzlQLdqkdhHXPzK7qi0+kYPXo0zz77LI0aNaqw65UCXQnk2kN5CXSLKuApiMLyh8zjRIAyF1Hj6OiIra0tXbp0UQRobm5ueHl5Kc/5/vvvlUYuchyvGoSFhTFs2DCSkpIUW+jUqRPPPPMMO3bs4MyZM5qutmqB7pQpU0rUQRe09nHgwAF2797NH3/8ARQs0G3ZsiWPPfYYU6ZMUebP6uOIOUtSUhJBQUG8+eab3Lp1S3O8atWqMWbMGF544YUSNdKQlB33QqBb3PiRwLxYoHmc0jy/OL/CBw0bNqRGjRr06NEDHx8fGjVqRP369ZU5t2DLli0cPXqUTz/9tFjvTVL2iPuck5PD0aNHWbt2rUaga17kujQC3eLsp5vn+4r4uIj7i/11cY1q2xWPeXl54eHhQfPmzenSpQu1a9fG19e3wBylrKwsunTpQs+ePVm5ciUgbVMikeRFinMlEkmVxGQykZ2dzcSJEzl+/LhSFRC0C9CKEuiqhbmjRo0iJiZGSbDw9vbmlVdeoW/fvvf0miSVH/VkffPmzXz88ceahas6iVxdbV9spqgTbgXqhIlx48YxcOBAWrRoAUiBrqRseeONN/jmm280iW7Vq1dnwYIFPP744/d0k1LYckxMDIsWLeKvv/4iOTlZI9A1vx712PHZZ5/xyCOP3JNrleRSWNVf9cb3ihUr8ogfCzueyWTik08+Yc2aNRrxovB3er2ezz77jIcffrhc3teqVatYtWqVZgPHaDTSunVrduzYoQSpJJWXXbt28c477wC5IkKRzNCuXTsGDhxI//79cXFx0bwuOzs7T6JPcnIyAQEBHDhwgDp16jBu3DglUFgSkpOTOXDgAOvWrSM4OFixcXVCr3lxj65du+Ll5cXAgQOpWbMmDRo0ULqaiteeOXOGqKgovvvuO0JCQrhx44byevPjqatVyo3ze496PKssgV/1WmjcuHHcvHkTKysr1q9fT9euXZXnLVq0iC+++EIjppTCXAnA/v37WbZsmdJ5B3I3WAYPHsxrr72Gm5ub8reXXnqJ3377DUBJTHJycmL58uV06dJF8UsFfUfU36P//e9/7N69W6lGLdZhYrPTw8OD9957j169ekmfd59SHIHuypUrlfV1QdxtI9E80bMg1GIf9do/v+rV+f0v1mjqREw1kyZN4tVXXwVkIbl7ybvvvsuXX34J5C1+UhUEuikpKfz555+sW7eOK1eu5En4gTu+19PTk4cffpjnnntOSbSQNnZ/oh5rf/zxR3bt2kVgYCCZmZkAdO/enc8//zzf13744Yds27YtT0e7Hj16MG/ePOrUqYNer+f27dtMnjy5TIS5ABcuXGDYsGGaQkci4W7r1q1l9dFIKoiCBLrqIm93E+jebSxXj62enp54enoydOhQPDw88PDwwGg0kpGRQVJSEsHBwdy+fZugoCDCw8NJSEggPj5eOZc6dplfwpt4jjpWL2xXXa1f+tnKSXkKdIuaWGleHEGc1zxenl/Cm/kcUx2DEnNNQY0aNfD09MTb25vu3bvj4uJC8+bNNd2kKksMQ1JyhD1cvnyZUaNGkZKSorFp4SP79+/PtGnTaNiwYYVd69ixYzl27JjGhzo7O/Pll19Sr169CrsuyR0KE+YWp2Ou+lhvvfUWX3/9tUaYCLB27Vp69ep1z99jcVDHm2bMmEFmZiafffYZIH1neSHsJjg4GH9/f5KSkhTbEXbo4uLC2rVradmyZaWPCZoLdAsS80iBbuWnMGFufqj37/z9/Rk1alSFjL9SoCtRU14C3aKugdQFPsSevDrWrxb85FccM7/iWeqi7OYdeqtVq4ZOp6N9+/bY2NjwzjvvUKtWrbu+H0nlQRTQnDRpEkePHlVsxs3NjZ9++olz586xevVqTp06pclJKiuBrtr+AgMD+f7779m2bRugFeia21+HDh1o1aoVgwcPxsHBARcXFywtLYmOjubcuXP89ddf/PXXX5q5gZgXtGnThpUrV+bpAC2pGMpToFvUbuPq/UtBQfGjggodqONHkLvOUZ/L2dmZunXrUq9ePXr06EHNmjVp3rw5bm5uynOk76w8FCTQLYsOukWxzYIEuoUV21A/Jv4X8wLzPXNLS0tatWqFq6srvXv3xtXVFV9fX8WX5+Tk8P333/PUU08B0jYlEkn+SHGuRCKp0gQEBPDee+9x4cIFIHcSVZEC3fyEuVZWVkoFFisrKzw8PHjppZcYPHjwPbkmSeXHXBgrqt+qF6gCa2trsrOzqV27NhkZGaSlpWFhYUFqaqpGOGO+yaLX63nssccYPny4svFovkiQAl1JSThx4gTTpk1Tki/gji35+fnx2muvlSjgWBLyEyjFxcWxZs0a9u3bR1RUVJ5uAOqglaWlJStWrFC6sclEtntHUYW5X3zxhabzXVGPCzBhwgT+/fdfTQcy4TPnzZvHqFGjyvQ9ieP//vvvzJgxA0AT1HF3d+fHH3/E0dGxTM8rKVt+/vln5syZo3SwVwtz+/bty2uvvYaHhwdWVlZ3DbyZ/z0tLQ07O7tSX2NmZiZXrlxhwYIFnDx5UhPkFgIPddKxwMbGhuzsbDw9PbGzsyMrK0ux0fDwcM051GJ28Rx7e3ueeeYZZs+eDUgh5b3CvOPn3bjXY1l+ayFbW1vS09OBOwVo1N1Sli5dyvr16wEYOHAgS5cuBaQ9SXLF2yLhW+3D3nnnHUaOHAnA3r17efnll4FcYa6joyOfffYZ7du3L/L51D76zz//ZMeOHRw6dAhA850TBTa2b99eqTutSEpHQQJd8+q/dxPoFkfMA+Dk5ESdOnWoX7++8rzo6GjS09MJCwtTkkPNC3Opi3kV1vVMvQ0gBG3mYh7JveWHH35g9+7dHD9+HMhbEMDBwYHHHnuMadOm0aBBgwq+2vxJT0/n2LFjrFq1irNnz2qEOur1uaWlJbVq1WL+/Pka8ZvcvL5/UN/zTZs2sWjRIk28Rfi+9957j2effTbP63fu3Ml7772XJ04JMHHiRF577bUyF+YC3Lp1Cz8/P1JTUzUC+Q4dOrB161ZlLSWpupRGoFucsXzQoEEMGzaM1q1b33Wtn52dTU5ODtHR0Zw/f56oqCj+/PNPEhISuHLliua5BXXXVRfxVI/l0q9WbspDoHu35DV1nCi/Ii3qeaW6IIx5N+eCktQLSno3T+ycPn0606dP1xxPUvUR9rpixQo2btyodPGDXHu2tbVl8uTJjBgx4p7tFUGunV24cIHnn3+e2NhYjdCufv367Nixg5o1a0p7rEDKUpirZt26dZpu8mKtNW/ePEaOHFnp/VB+4jQ5xpcvqampzJkzh3379injqBC9ODo6Mn/+/HtajLq055EC3apPYXvnoO1eJ2xV7T+lQFdSmShrge7d1kDiOyFsUKxPrKyssLKyIi0trcBrVY8BYk1kvhZSoy6ABHf2qUSRul69erF27dpSfHKSikTdoEIIu7du3Urbtm35448/+OKLLxSBbll30FXbW2JiIj/99BMffPCB8nf190dtq3DHhq2tralZsyYmk4nU1FSSkpKU15oLc2vXrs3GjRsrbYHQB5XyEOiWtpiw+b5kfvHKgnxmYUUT1L7baDQyY8YMpk2blud1kspBeXTQLU7BDRHLV9tOfk2v8itkLTCPaaqPZS74bdy4MU5OTnh4eDBz5kw8PT0BuT6XSCQFIzMdJRJJlcVkMtG2bVs+/PBD5syZw5UrVzRJuyIx4quvvsJkMjF27NhyF+gWJMwVCxaRLBwWFkZGRka5Xouk6qAO1u3evVsR5goRkJj8iyTdMWPG4OTkRPPmzUlPTychIYHo6Gh++OEHAgMDuXLlirJoMRgMmgXJH3/8QWxsLOnp6fTr109T0Q+0Ff7Gjx8PkEegK75fN2/e5OWXX5YCXYnS9UEEf8RC9fHHHy+3ZAvh71NTU4mPj8fLy0uzkBa27OLiwvTp06lduzY//PADFy9eVF4vfLKdnR3169dn1qxZdO/eXXN8SflTVGHuxo0bady4cbECHCL4bWFhwYQJEzh37hypqal5ig2cPn2aUaNGlelmn7CfOnXqALnCXBGMysrKIjo6WopzKzGBgYF88cUXZGVlaYJ4JpMJPz8/5s+fr7HFu9mleSexshDmwh2RbcuWLdm6dStz587l8OHD3Lp1SxmvRcDSvHJrTk4ORqNRea7A0tIyT+Vf8bOw4/bt2/PEE08wbtw4AOVckvJD2I2wo/j4eEJDQwkJCeH69esYDAasra3x9vbGycmJzp07o9PpsLW1VY5R3gHigtZCGRkZypg7btw4NmzYoHQrnzVrFsnJyYSHh0thrgTItdPXX3+doKAgjhw5ogi9xBr/gw8+oH79+nTr1o2goCAARZhja2vL3Llzad++fbHmc2oB7qOPPorBYCApKYnAwEBlA0ecJzAwkLVr1yqJ5ZL7DwsLC00hgSNHjmjW1WLcCw8PZ8aMGfkKdIsj5unSpQudOnXi6aefpkaNGhrfLYiJiSEmJoawsDCOHz9OQkICJ0+eJCMjg8TERCC3qJeYS+dXxVotSJJinopD3JPBgwdTrVo1jEYjJ0+eVOxM3IuUlBT++OMPgEor0LW1taVHjx74+Pjw7rvv8vfff+e76W0ymYiIiGDixImMGTOGHj168NBDD0mbu48QfmbXrl1KbFMdS9Tr9eh0OgICAvIV5z7zzDP8+OOPSsEhyO368/nnn2Nvb8/ff/9dpsJcgEuXLpGUlJSnkn/nzp3zdAeQVE10Oh2+vr7MmTNHEeiqEyb1ej0WFhZcuXKFDz/8UBHoWlhYFJrsqx7Lx4wZwxtvvKEpWmheVEltmxYWFlhZWeHt7Y23tzdwp6ujXq/n6NGjREZGcuTIEa5cuUJMTAzR0dGaJHx1IpIcy6sWYh7WvHlzVqxYkUegK2I2RqORy5cvKx28hw8fnmcvB+6elK5OqMzJycHd3Z06derQtGlTsrKygDtzyKtXr5KamkpMTAwpKSmaJExhb/kViTHvRKEuciCSl3Nychg6dKhm/STj7vcPwh579OjBzz//THh4uGJ3YlxNT0/niy++oEaNGgwZMgQHB4d7cm3Czo4ePUpUVJTymLDvey0WluRF7dPKSpgrxt7WrVtja2tLdna2Jsn2u+++w8/PL991d2VCvS6EvMIfSdkhbCYqKorg4GAAJaYiYu7PPPMMnTp1AspnDMsvhlnYeYoS83R1dWXo0KHodDrWrVunEeiqu0Tt2LEDk8nEG2+8IQW6lYi7CXPNRTPq/Dj1/d2+fTtAhQh088s7EgJd9XpJ+Ldz587x0ksvSYHufYqwh5YtW7Js2bI8Al31OujSpUvKOmjYsGF51kHFibvXqlWLunXr8tRTT+Hh4UHdunWpVq0a0dHRJCcnExUVRWBgIAkJCZw7d46kpCTS0tI0eXrqArKARvAD2k6S6jiVn5+fEh+TuUdVC2FvQqyq7rB8/Phx2rZty2OPPYZer2fDhg2cOnVKE9e3sLAgLi6OdevWYTKZGDJkSLHXHWp7qVGjBv7+/jRo0IDly5dz7do1UlNTFds038M0Go2kpaUpInTx3RHxVLFuF3lY69evl8LcSojwLa1bt2b58uV5BLpqv3nhwgW2bNkCwJNPPlmi+JHadwrb8PT0pEmTJmRlZSm2JuwvLi6O1NTUIsePINcXiv3J/OJHQ4YMUYS54piSyoWlpaVmD/3YsWP57qGHhYUpe+iFCXTvNq6L46oLbsCdvUkRe8rOztaM3aDNF71b9121CFj8E6+/fv26YptCmCuOL5FIJPkhO+dKJJIqjZgUnT9/XhHoQv4ddJ9++ulyFegWJsw1DwDNmjWLyZMnl8t1SKouf/31F/PmzSMqKkqz8AR49NFHGTt2LK1atSp04/rcuXMcOHCAVatWKY+phThi8duiRQv8/f2VqlnmmHfQXbp0KdnZ2bKDrkSDwWAgKyuLsWPHcvbsWU3gpl27dmzevBkrK6syDzaru+L+73//48iRI4wdO1bpCK1GnDsjI4PLly+zefNmjh49SmxsLE5OTtSuXRs/Pz+6d+9O48aNNa+RlD/lKcw1JywsjJEjRxIbG5unen/Hjh3Ztm1bmd97k8lEdHQ0fn5+imhCvfxasmQJgwYNKrPzScqOlJQUPv30U3bs2EFmZqYm+Ddo0CCWLFkCVB5/od6k3r9/PwcPHmT37t3K38X1qytoCgqq8qsOPKqDlRMnTqRPnz60bds2z7kl5YPwfRkZGURGRrJt2zZOnjzJhQsXCnxNkyZNcHV1Zdy4cdSpU4dGjRopfysPu71bkSL1uuzVV19l0qRJ+dqOFOZKINeerl27xowZM7hy5Uqear09evRg2rRpvPnmm9y4cUMRgD/++OO8/fbbeHh4lOjc6u/Hnj17WLlyJXFxcZruakajkb59+/LJJ5+U5duWVEJK2kG3OAlCzzzzDP/5z39wdXVVjqcu1CXOk988+NatW2RlZXHs2DGuXbtGUFAQ58+fJysri6ysLI0wUt0FzWAwSGFuJUDtb/bt28emTZs4efIkUDU76Ao++OAD9u7dS1xcHEC+AiELCwvc3Nx48sknee6557C1tdVU7JdUXS5evMiMGTMICQkpUBwG8OOPP2rmp8LeN2/ezCeffEJGRoaSZGTeZbwshblwp1DivHnzNIlNAB9//DF+fn4l/iwklQ+T6U4H3YULF3Ls2DHN+Khe+zZu3Jg5c+bQvXt3UlJSePbZZwsdy5977jlef/31Ul9bfqKb7OxsIiIiuHjxImFhYfz1118kJiYqwpF+/fqxYsUKQI7lVY2y6KBbnDnnQw89RPv27XnmmWewt7fH3t5ecz2pqano9XrCwsIIDw/n1q1b/PPPP8THx3Pu3DmNH1Z3RzFPblMXOhCJm3LO+eDw5Zdf8u677wLaxF7xs6OjI2+88QZ9+vS5ZwLds2fPMmvWLEJDQ5V1lslkwt3dnSVLltCxY8d7ch2Swpk3bx67d+8utTBXTXx8PEOHDiUmJkaTFF6vXj127NiBq6treb8tSRVj+fLlrF27VlO41GAw4OHhwcqVK2nTpk2Zns98TIyLiyMhIYEjR46QnJxMZGQkGRkZVKtWjSZNmlCrVi26du2Kvb29JtH8bsTGxvL9998rAl0RbzCfK4wcOVIKdCsJBe2di/Wv+r7NmTOHmjVrMnv2bOVv5utwneygK6lElLaDrohvF6U40eDBg3n66adp3759kXxbQkICKSkpXLp0ifPnz3Pz5k2OHj2qKY4pEN9DtU+Va6D7jxMnTjB+/HglbmQwGBg/fjxz5sxRnnPgwAFFoGteKF100J08eXKJBLpqxHr76tWr/Pbbb3z33XfcuHEjz76P+rnmP6s77FpaWtKoUSOWLVtWIWODpOiIe1iaDrrFKezWtWtX2rdvz7PPPou9vX2etXtKSgoA4eHhhISEEBkZqcSPgoKCNLlIRemuK31n1aWgDrrCBorSQbc4tunp6Unt2rUZPHgwnp6e1KxZE7izlx8VFUV4eDjJycmcOnWKxMTEPM3ThD2KuaXYg1ej/l6pG3iobbOy5AhKJJLKixTnSiSSKk9lEOiWJBkd5EJCkktkZCSLFy/m119/VYJ4YqHh5+fH7NmzlUVFfpN888D0vn37WLlyJTdu3NB0a1QnGvn4+LBx40bc3d3zvSZzga55B12QAl0JZGVl0a9fP27evKkJ8D3++OMakXhZIewyLCyMFStWcOTIEeLi4nj22WeZMWNGkQKa0dHRpKSk4ODggKurq/TDFcS9FOYKv/mf//yH33//XZN8CfDwww+zfv36snx7GkaNGsXp06eVaxEBqbfffht/f/9yO6+k+Ag7O3nyJNOmTSM5OVmT2PjYY4+xaNEiHBwcKt2msPl35JdffuGXX37hxIkTxMfHK4+LxCZ1tUqxSaROBlYnWNaqVYvWrVszfPhwevbsqTwuA4/lj7ivMTExbNy4kcOHD3Px4kXl3llZWWmC06LircDW1hY3NzeGDRtG//79qVu3rjIXLCv7Lc5aaPbs2UyYMEF5bUEbhBIJQGZmJrt27WLNmjUkJCRobMXJyYn+/fvzyy+/cPv2bWWjZ8GCBQUWICoqan/6wQcfsH37dmUdJf4OsHbt2nyLw0juL4oj0F2xYgUtW7YEKNJGonkiR1FQC4jMyc7OVjqr//3334qowmAw5EkgUlful7GpikM99v32229s3rz5rgLdF154oVJWslfPLXbv3q0UjAHthryYhwpE5+jRo0dTo0YN5XE5L6ia/PTTT8yePVtJAIZcv+fo6Mijjz5Khw4dePLJJ7Gyssrz+ps3bzJ58uQ8AjPz+aKlpWWZCHOjoqKYMmUKly5dUhKBABo3bsyaNWs0ldAl9wdFFeg2a9aM6dOns3z58kLHcrUwt6zH0/zWbMLujx8/Tnp6Or179y6Xc0vuDaUR6GZlZWFtbV2kOeeIESN48cUXcXR0xMrKSiOQUHdkLMh/Xrx4kaioKI4cOcLly5eVBExxDIEoOCuuX3Z2fnBQ28/ixYv5/PPPgdw5oFoA5uTkxIwZM+jXr1+5d61NT0/n888/Z8OGDWRkZGgKcTz99NN89NFH5Xp+SdF4//332bFjh+JDxFq7NMJccYyXXnqJ/fv35xErzJkzR+niKJHAnTHqhRde4ODBg3mKlc6YMUPTvasszqUeDw8ePMjly5f58ssvycjIIDY2tsDXtm/fHl9fX1588UWcnJyKfE5zgW5Bc4ZRo0YxZ84cKdCtQIorzBW+bNu2bXz44YfKc6RAV1KZKY1AF4oWdx8zZgxvvvmmMkctyI7U8cr81iuxsbGkp6dz4MABbt26xaFDh4iJiSEpKUlTkF0Iz6S47P7iypUrPPnkk5oczqZNm7Jz506srKyU2GZZCHTN1+SFzXuzsrJITExk4cKFXLp0SSngBrljgLlwXOR6Go1G6tevz0MPPcSkSZNk7LOKoBbozpw5k/Dw8CILdAuLH5kXa3n22WeVeWZx4kdqvx4VFcW///7LpUuXiIyMJCwsLE8HXXX8SApzqzYFCXTN99DzE+gWR5g7cOBAnn76adq2bYudnV2h15SRkYGlpSXBwcFcv36d4OBgDh8+TFJSEteuXdPk5OdX4EA8Lm1TIpGUFCnOlUgk9wXFFeiOGTOGZs2alcm5i9MxVwpzJeYIO/jrr7+YOXMmqampmkVA3759WbJkSZE3QUR3HUtLS/755x9efvllbt++rfxdHbwXyWtFuT64u0DXy8uLhQsX0r59+2J/DpKqy+XLl3nqqac0nZ5NJhPPPPMM77//frlsmAQGBjJ37lyCg4OV74qDgwOffvopXbp0KTCZqCC/Kzd17j33UpgLufOE559/ngMHDiiPi0BLr169WLt2bZmPzeJ4U6dO5a+//tIELo1GIwMHDmTx4sXKtUgqB7dv32bKlCmcPn1aE5hu3rw57777bplXSC9PUlJSiI+PZ+PGjYSGhnL48OE8gW/zwCOgBMMfeugh6tSpw/jx43FxcdEIJiTlj/AX4eHhvP766wQFBZGRkaFJIAdtBUfzCrjqIHLHjh3p1KkTL7zwQr5iiJIg10KS8ubmzZu8//77HDhwIE8XcBsbGzIzMxVb8vHxYefOnTg4OJRa1CVsNCsri+eee44TJ04o3zGRaDFz5kwmTZokBWQPAAUJdM2r/9apU4dNmzbh4uLC8OHD75mYR9hgfuuayMhIUlNT+fvvv7l58ybHjx/H19dXSdiT/rjiuZ8Eump7Cg8P57fffmP58uXKvCC/743Ay8uLiRMn0qpVK6ULNcj1enlR1mOXuPcvvfQSv/32myYRTKzvFy9ejK+vb4FJ5OIYJ06c4LnnniMrK6vQroxQOmEu3BETz58/n7i4OGWObTAYlLW69I/3JwUJdA0GA3q9XhlTra2tNXZYWMfce+GrChqz5VhetSmJQHfYsGHodDri4+MZM2ZMoXPOCRMmKJ3UintdBRWEiY6O5vr160o35/j4eGXuombo0KEsXLhQ8z4l9y/iHt+6dYtFixbxyy+/APknZVavXp3JkyfTv39/vLy8gLKdm4hjHTp0iNmzZxMfH69JTlcLfuR6vmKJjo5m4cKF/PHHH6SnpyvFUkojzFWzfft2PvjgA+V3EU8dMWKE0uVZIgEICQnh6aefJiUlRRNbt7Gx4YsvvqBt27ZlMpap442BgYH89NNP7NmzB0DTgVE9JxU/q9fP3t7ezJw5k06dOhW50EFBAl3zOe7AgQNZuHBhsb9vktJTUmGuWIuofZ54rnr8lQJdSWWiuAJdf39/nnnmGdLT0xk2bFih4jL1Wr0kqGNP5vPE1NRU0tLSOHXqFJcuXeLy5cucOXOGrKwskpKSpIDnPuTZZ5/l7Nmzim16eHjw888/Y2trq7nHRRHoTpkyhcGDB+cZu9W29uuvv9K7d2/FpvMbj8XzjUYjly9f5uDBg+zdu1fpGlkQtWvXpnPnzowcOZJGjRrl6YgqqdyURqCbX/zI3HeWNH6kbgRgTlRUFFeuXCE8PJwDBw6QmJhIQEBAnufJ+FHVpiQC3ezsbKysrIokGh8zZgxz5sxR5oJqH5tfE4D8/g53CrgdO3aM+Ph4/vjjD6Kjo7l69arSDRrIs68lx3WJRFISpDhXIpHcN1REB12ZjC4pC5KSkhg3bhwXL17ULDRatmzJggULaNy4cZE3iIVt3b59m2nTpilJ5ICmq8T69evp0aNHkY6rttfNmzezZMkSsrOzNQsZa2trMjIyeOSRR1izZo3czH6AOH36NCNHjtQEqE0mU4m6QBWF1NRUBg8ezM2bN/Msirt06cKnn34qg4iVnHstzFUzevRoTpw4ofwuxmkRaCyvLieffvop//3vfzU+HqBz585s2bKlzM4nKR3i/u/fv5958+aRmJioBJL1ej2TJ09m8uTJ2NraVvSl3hX1pozY9LGwsODEiRNER0dz/PhxpYu4qO7r6OhI9erVcXV1pVOnTri5udG1a1eZpFZBiHsXGhrK+PHjNR3q1R2d1AJr8bNIZDMvpCJo27Yt77zzDvXr1y+VPcu1kMScu93bkvqTs2fPMnbsWNLT0zVJ52pxjslkomPHjmzZsqXM7EtsYn766ad8+umnecTBnTt3ZtOmTQUmrUvuL4raQdfT01MprFAUYW55JJcV9l2Lj49Xkj+kP648lESgO23aNBo0aFCRl50v5vb377//8tVXX3HkyBHi4uKUREz1fEV8P2xtbbG2tmbkyJG0a9dO0528sMQ4SfHIysri2rVrNGvWrMz9wPTp09m/f79G7Ojq6sq2bds0gvKC7qN4fMOGDaxcuZLs7GyNqFu9nSk6WIkK5kX1peIcUVFRTJs2jaCgIOUzMBqNeHp6snHjRry9vaWfvI+5m0DXXAhe0cJcyf1NcQS6jRs3Ztq0afTs2ZORI0dy5cqVe9bZOT9bF8c9e/asktx27do1XF1dWb58eZmdW1K1OH36NGvWrOHgwYNA/usmOzs7Bg0axFNPPUXbtm2BsrWVS5cuMWXKFKKiojQx+Ro1ajBp0iTGjBmDjY1NmZxLUjqCg4PZsWMH33zzDenp6UpxjNIIc9WJ6+PHjyczM1OzpnJycmLHjh34+PiU4zuTVCUuXrzI6NGjSU9P1xQH8vLyYt++faU6tvnaJyoqikWLFnHu3DmNMBFyi2Pkl8Yp5gbCj7q7uzNy5Ej8/PyoXbt2ka7FXKBrLgbOycmhd+/efPrpp6V6z5LiU1phrsBcoGsucKhqAt02bdqwfPlyWVDjPqU4Al1fX1+efPJJdu3aRXBwcJGEuWU5tyysOGZUVBSJiYlcuHABPz+/Mj+3pGKZNm0af/75p5IvkpOTw8aNG+nWrVueYoFCoHv69GlNfKkwga7aVoQPb9myJV9++WWhAl1zG4uPjychIYFTp05x/fp1RUhuYWGBl5cXTZs2pX79+jRq1Ki8PzJJOVIcgW6zZs144YUX6N69OyNGjNDEj8rbd+bnK4UtBwQEEBsby59//snVq1epXbu2jB/dBxRHoLt06VJat25NYmIi/v7+5VJ0UE1B9qjX67l06RIREREEBgZy4sQJYmJiCAsLA6Bfv36sWLECkLYpkUiKhyx1JpFI7htEoLpFixZ8/PHHikBXHSQRC4uvv/4aoFQC3cKS0QGZjC65K8I2w8PDiYuLUxYXwnbat2+vVI0ujjA3JSWFyZMnExAQoHR1srCw0HTMFcJc9esKQt3pcdy4cQCKQNfCwgKdTkdGRgZt27ZlxYoVMij+gCEWsObCn7CwsGInSBYFe3t7XnjhBRYvXkxSUpISANXpdNy6dYvo6Ggpzq3EVIQwV/jaiIgIYmJiNMFJYbOi43dZj8/C9oUvF4FOcQ23bt0iLi4OZ2dn6TsrAeL+7927l/j4eCA3YFinTh1GjhxZJYS5kDtvEO9J/N+xY0cABgwYoDw3Ozsbk8mEtbV1gceSm973FuH7IiIimDhxYr4FKQSWlpZUr14dk8lEdnY2aWlpSuBavEZdHdLCwoKAgABmzJjBqFGjeOKJJ4qcvKNGroUkkDe5TGwwp6WlkZKSgo2NDUajEVdXV6D43ezEOVq1asVHH33ErFmzlDmDsHNh1waDgYYNG2rWLqVFHGPIkCF8/vnnSudq8b5v375NTk5Ogf5Tcn9hYWFBly5dlN+PHDmi+EKj0ajEnG7evAlQYcJcyP+7JuxWJH0UVMlaUjGofUvfvn2Vx0+ePKmxMxHz+eOPPwAqZQdd80rV3bp1o2nTpty8eZPly5dz7do1bt26pWzKqwvJZGRkkJ6ezmeffYajoyMtW7bEz88PX19fJXEov0rYkqKTmZnJJ598QnBwMKtWrcLKyqrExxL3LTMzUxG3ZGVlASixeFtbW6UojNrnFXTvxON9+vTh+vXrfPfdd3nGfvGc77//Hh8fH/r27VssX6rT6UhISODVV18lKChIEYobjUbs7OwYOnQobm5uQNnHCCSVB51Oh6+vL7Nnz1YEuiKGad6tGe79WC55sBBrmObNm7NixYo8Al0xbzMajVy5coXVq1ezYMECYmJi7umc0/wY6vlkq1atADSFNUDGAB5U2rZti7+/P2lpaZw4cSLfdVNaWhrffvstV69eZfTo0fTv31+xldLO886dO8eLL76oEeaKOWfbtm3x8/OTwtxKRKNGjRg1ahQmk4kff/yR27dv065dOzZv3lzijrnCflq3bk3Tpk05ffq0kqhuYWFBVlYWwcHB+Pj4yLFcAkB4eDgpKSlK3gNoY44Gg6HE8T9xvODgYP799182btyoxI4gtyCXoLBCRiaTSbHZ6OhotmzZQk5ODiNGjFDWMIXh6urKkCFDABSBrpWVlfIe/fz8+Pjjjwu9DknZU1Jhbn45GP7+/gB88MEHmrwj9c/bt28HqBCBrjp2L96HEOiq97GEaOjMmTOMHj2ar7/+mpo1a97Ta5WUP8IeWrZsybJly/IIdNXroKCgIK5evUpmZmaRxGVlPb6rm8KAtitfrVq1qFWrlpJ7KtdA9wfChjp06KCIc8XaOyQkhG7duuWJUz/yyCMAGoGuGOctLCyIi4tj3bp1AAwaNAgXFxfFVrZt28aHH34I3FnPjB8/nk2bNik5n+Y2Zb52qlGjBs7OzkUqPiNttOoi9pFat26t+E21QFftNy9evMh///tfPvzwQ6Kjo++p78wvfiTWdKI41+OPP655jrTLqo2lpaVmD/3YsWOaRgMiFhQWFsZrr73G+++/zwcffFBox9yyEo3nZ9Oi4EKzZs1o3ry5Yo/JycmcPn2alJQUBg4cWOpzSySSBxMpzpVIJPcV90qge7dkdPUmuExGlxSECNTs27ePmJgYpeNSTk4ONWvWZMyYMVSrVq1Ix1InaU6aNKlQYW7Pnj01wlyxCAkMDMTLyyvfwHZ+At2lS5diMBjIycmhVatWbN68GRsbmxJtlEqqLrVq1cLBwYHMzEzN48HBwaSmppaLULZz5860bNmSf/75RyO0DA0N5ddff2XatGllfk5J6amojrnC1x4/flypviuSwAE8PT1p0aJFqc9TGJ6enkCuLxWB0bCwMCIjI3FxcSnX80uKzvnz5/n3338BlCRtS0tLxo8fj5ubW6WcyxXlmsyTKNSBdfOE/PyC7jIJ494hNk1iYmJ4/fXXCQsLyyPMtbe3p0WLFjzxxBM0atRI8TEJCQmEhIRw/vx5fvrpJ2JiYpTjivFSzP1CQ0NZt24dly9fZuzYsTRr1qzI1yjXQhKB8A2XLl3ixo0b/PXXX1y7do3U1FQSEhKwtLTEwsKChg0b4ujoSJ8+ffDx8aFx48bKMe5mF+IcPXv2xN/fn+3bt+fpaCYQ65iy9FmiE2qDBg24cOGCRkAXERFBeHh4hXQZkFQMQqArbCw/ga7gXicI3Q3z74Uc2ysf5gJdcY/uJtCtrB101Tbm7OyMs7Mza9as4eTJk/z222989913ZGVlKetB9XhgMBhITU3l8OHDnDp1Cr1ez8CBA2nUqBF+fn5Kh101MnH47mRkZLB+/Xp++OEH0tLSiIiIoH79+iX67IRNhoSEMG3aNF577TUeffRR6tWrB9xJxsjKysLZ2VmJuxfH53l7e/P0008TGxvL33//rUnkgDv3+/r167z66qu8/fbb+Pn5KTahjkuK14n3mJ6eTkhICO+99x6nT59W/iZo2LAhAwYMwM7Orlifh6RqUlSBLqD8PmHCBCnMlZQLRRHoCtsMDg4GcgvKVdScM7+xQz2ey2IwDyZizO3ZsydpaWkAGoGuSMoUAslTp05x8uRJrl69yrBhw6hVq1aBXckKOx9ATEwMJ0+eZP78+ZrkYxGn8vb25q233lIKiEkqD40aNWL06NEkJycTExPDhg0bSizMFYh736lTJ2XeJ3xmeno6u3bt4oknnpBjuQQAOzs7xRbUfkXENotrJ+bxzl9//ZX169dz48YNUlJSNMU11MJcMZ6rBUCQO+aLtbOYsyYkJLBr1y5q167NU089Bdy9wJBaoPv5558TFxcH3ClOKIS5Mo5/7xCfdWhoKP7+/sUS5hZ0j/z9/dHpdLz//vsaUa46V27btm1A5RXoiufAHRGPFObevxRHoJuVlaXME4EKjbuL719+ayLpP+8PhA2J/Uz1uuLixYuax9RxfbVA99SpUwUKdE0mE4MHD8bFxUUjzBXxzRMnTjBo0CB+/vnnIu2hFqfQkbTRqk1RBLpi7njlyhUATaxTxo8k5UVhAl11sbaQkBAmTZpEdna2Zl10L23TfBwX53B0dNQUHpTrIolEUhKkckYikdx3lLdAVyajS8oKdedcyK2MajKZqFevHjVr1iyS3ZSFMHfTpk18//33jB07Fj8/v3wDNuYCXb1ez0cffUSLFi3Ytm2bFOY+oFhZWSl2pt6sTExM5OjRo/Tu3bvM/V+9evUYPHgw//zzj9I1V/jeyMhIQCbmVjYqSpgrCA4OZsuWLQCaqmtGo5HWrVsrwrbyomnTpri5uREXF6f4YOGnk5OTy/XckuJx9epVJRlBjMkWFhY0adIEqHybFaGhoURERNC2bVtsbW2L7PsKC17KhKSKRafTkZGRwc6dOwkKCtIkJObk5ODs7Mzbb79N27Zt8/guLy8vWrduzeDBgxk/fjybN2/m6NGjBAUFKX5V2LVeryc+Pp6ff/6ZsLAwZs2apVQqLcyO5FpIIkhPTyc8PJxt27bx999/ExERofxNnTwDKH/7/fffMZlMDBs2jFatWuHn51fkDWMHBwf69u1LQEAA58+f1/xNnEusq8pyDijWNj4+Ply4cEHZ2DSZTOTk5GgEPZIHAwsLCzp37qz8rhboik6gkGvTlUGYK6k6qBN5+vTpozxeFTvommM0GrG2tqZbt25069aNQYMGcf36dTZs2MDt27eJi4tT5inqjgCiw8tXX32FyWRix44duLq6MnDgQBo0aECjRo00XQYkBbN3716++OIL0tPTgTsFrOrXr19iYW5YWBijR48mJiaGuXPn8umnn9KjRw+2bdumdNBt1qyZItgtKuI70L59e8aOHUtGRkaernui4FZWVhbz5s3j9OnTdO/enUGDBmnikupOvcHBwezdu5e9e/cSHBysCHOFndWoUYNXX31VU0REcv9TVIGuXq/HycmJQYMGKY/JsVxS1txNoCv8H6D8DhWblJ7fexDI2PyDiXo++8QTT2BnZ4etrS2HDh1S9ueFQFev1ytxr1WrVnHq1Ck6derEhAkTlMLFYk6ofr7oHGlpaanY2b///stPP/3Evn37SEpKyiPMdXZ2ZvXq1Xh5eVXkxyMpBB8fH15++WU8PT2V+1aa/Wbh/x599FG++OILZS9RxPuvXbtGUFAQvr6+Mm4poXr16uj1eiWnAu7YUEpKCtHR0bi7uxfZTtTj78mTJ9m/fz8bN25U/i58mjoWKmxejOe2trZKUd+MjAzS0tK4ffu2EndSd4KOjY1l3bp1dO/endq1axfpOoVAV6fTsXDhQvr27cuiRYsAGce/1+j1esLDwxkyZAgZGRmavZaSCHMFo0aNAsgj0FX/XFkFupA71x0yZIhimzL34/6lKAJdyLUBMZaL74csoiUpL4xGI7Vq1cLGxobs7GxlDR4QEEB2dramAHpxBbrr16/H1taWxMREli9fDuTmMQlfV6dOnWKPydJPPhjcTaBbUPxI7Ttl/EhSHhRFoCvWMiIeVBkKXRd0DrkukkgkJUGqZyQSyX1JeQp0LSwsiIiIYMSIERpxkflEUSajS+6G0WgkPT2dM2fOKL+LwKKPj0+ROo6WVJgrxIwAH374Id9//z3JycmsXLmSrl274uHhke/51IHyMWPG4OzszOOPPy6FuQ8oJpMJZ2dnevTowY8//qgkruXk5JCUlMSff/5J79698+1sVppz6nQ6Hn/8cVq2bKmIM0Qw6Z9//iElJQVbW1sZeK8kFFWY+8UXX5SLMDc9PZ2//vpL2dBTV6OuV68ezz//vOY6yxqxaVStWjUlwKQuknD8+HG6detW5ueVFA8RBNy/fz+g3fxo164dHTt2rOArzGujf/zxB5s2bSIgIIC5c+cyfPhwGbiu4oh7HBMTw4EDB0hPT9cUoHBxcWHNmjW0bt06z2sAzVrHw8ODl156iZCQENatW8fPP/+sEeaK/zMyMjh58iRz5szh3XffpWvXrpoNRPPrMxdiyLXQg0lMTAybNm3i0KFDXL58Wbm/6uqmajsStiQSgHbs2AHAX3/9xYQJE2jUqBF2dnZ3tZXOnTszePBgzp07B2g7RYnzZ2Vl5emmWBrENVWvXj3P+xLV2iUPHoUJdIWvVfvQoUOHygQhSZG5XwW6wr+La+/QoQMdOnTg0Ucf5caNG3z33XdcuXKF06dP50lEVXdBDQ8PJyQkhDNnzpCTk0P37t1ZtmwZTk5OFfbeqgqic6ytrS0ZGRmcPXuW4cOHF2uuJhIgQ0JClPmgjY0NsbGxTJkyhZEjR1KrVi1iYmJKPAdUfwe6d++O0WjE0tKSo0ePKvZgMBiUx3Nycvjmm2/Yu3cv27Zto127dvj6+mJra4vBYCA0NJSwsDD27t1LRkYGWVlZeYS5AB9//DFdu3Yt9vVKqj5FFegmJCTwxhtvMGfOHDp37izj4JJy4W4CXYHaVwo/NmXKFGbOnAnIOaekYhH2qdfr6dmzJw4ODjg4OPDLL7/kGcshd853+PBhDh8+zN69exk8eDCdOnWiTZs2gDZRUh0r279/P6dPn2bHjh1KES11XDcnJwc3Nzc2btyIj49PhXwekqIjxNNinldaTCYTjRs3pl27dpw4cULxsQaDgcjISP755x98fX1l3FKCo6MjTk5OxMfHAyhFACIjI/n9998ZOXJkke1E+KsVK1Zw6NAhZR9bXThY3QlS+KqaNWvi6+tLv379aNWqFc2aNSMrK4ucnBwuXbrEt99+y549exSBhXi9paUloaGhvP/++3zyyScaoVBhuLq6MmDAABo2bKh0h5Jx/HuP0Wjk33//VeZz+RVfKa4wV1AVBbp79uzh+vXrwJ146sKFCwFpmw8CdxPoqvMrIDffY9KkSbz66qvKY3INJClL9Ho9TZo0wcfHRymobWFhQUZGBunp6XnG3LsJdIWdC4HuokWLSE1NBe74fTFHMBgMDBgwgGXLlgHSB0ry524CXfPnqeNHkydPZtasWYD0nZKypzCBrjpfU9hpZRKNSyQSSVkgdw4lEsl9S3kKdIOCgoiLi9NMGmUyuqS4WFhYYG1trWwS5xdMLMx+SiLMVScI37x5k48//pjffvtNCSKlpqZy8eJFPDw8Cjy3qOhqYWHBwIEDAaQw9wFF2FPz5s358ccfNV1sDQYDX3/9Nd26dWPgwIFlJhgTx3FwcMDNzU0TjBedU+zt7aVArZIg/EhoaGgeYa5IlnF2dlY65pZlcEWcOzAwkC1btpCamqqpSJmTk0Pz5s1xd3cHcpPF1UUMygKTyYSjoyPNmzcnLCxMk5QOYGdnVybnkZQOYXehoaFA7jhsMpmoWbOm8nNF+hZhO2fOnGHIwDudAAEAAElEQVTfvn1s2LBB8X87duygS5cuxe5KJalciHu8detWZZNPCAaqV6/Ou+++S+vWrTW2mF9VUWHPtra2NGvWjGXLllG/fn327NmjCCXUXceMRiM3btzg5ZdfZsmSJTz88MNAXpvX6/VERUUxcuRIYmNjsbGxISsrSwpzHzDCw8N59dVXuXjxIhkZGYr41rxrqPp/YWdi81mMtb/88gvBwcE8+uijjB49Gnd39wLnAsIex40bR3BwMHv27FES2qpXr06zZs2YMGFCmQpzAeWaxbggrt/CwgJbW1ulm4/kwaMoAl3B6dOnuXjxIs2aNZMbiZIicb8KdEE7dzGZTLi4uODi4kKHDh1ISUkhKCiIY8eOcejQIaKiooiMjMRoNCrrJ4PBgJWVFdnZ2Tg4ODB79mwpzC0iwjZE59y///6b+Ph4nJ2di3wMnU5HUlIS06dPJyYmBmtra7Kzs9Hr9SQlJfHll19y+/ZtxQempKQA5OkmUZTziO9Ajx49sLa2pkaNGvz6668a0Y06qSMrK4uAgAACAgKU46jnJ2LOqu68kpOTg16v55NPPlGS5ip63fcgU5EJN4UJdNXdJS5fvsyCBQt4++236dChg4yHS8oFtUB35cqVzJgxI49A1/z/7t27K8Lcsi5YJKmcCJ+ZlpaGXq+vdGtT9VjeoUMH6tatS506ddiwYYMSPxI2LcZjsda+dOkSwcHBGAwG2rdvT926dWnUqBE1a9bk9u3bZGRkEBgYSEhIiCLgEcdTF/ESwsxPPvmEBg0aVNRHISkBZRVL1Ol0ODg40K5dO44fP67MC4Wd/PTTT/Tv35+6deuWyfkklQt1XPpuMWpvb29at27NH3/8oVk75OTksGfPHlq0aKEUzFSvF8z3qGNjYwkKCmL9+vUcP35cOb7Yk1TH70Ws0c3NjUaNGvH666/j7u6uWZ/pdDrs7Oxo164d7dq1o1mzZmzcuJGwsDBlDiBil8HBwQQFBdGmTZsir2lq1apFrVq1ivQZScoHvV7PY489RlZWFmvWrFH2XTIzM4GSC3MF+Ql0xVq6Mgp0dTodn376Kb169ZLC3AeQogp0hX8TRQ0EMpYjKWtMJhNZWVma4r0Gg4EbN24QGBio7KerKUygq44z6fV60tLSAJQigqIAR//+/RVhrszFlBRGUQS66r1KgJ49eyrCXBk/kpQXd+ugC7n2K9ZFUjQukUjuF+TqVSKR3NeYC3QbN24MoAlWi0Xs119/zZYtW7h06dJdj9unTx+WLl2qdMGTyeiSkpKVlUVGRobyu9o2oeANyJJ2zBWkpKTw+uuv89tvv2kS05KTk/n5558LPTeQZwEkg0EPJsKuBg0aRPPmzZXH1b7v22+/5eLFi2V6XrFQzy+hIj09XakuKKl49Ho9YWFhDBkyRBHmCv8kNkg6d+5M7dq1Ff9VFojN6LCwMObOnUtUVJTiI4XQzcHBgRdeeCFPIre6w5/5MSFv8PJuiO+CEAGLYxiNRgYNGqTMGSQVT1hYGDdv3lTGNHHvPD09gVwbqEhWrFjB7Nmz2bBhA5A7Ht+8eVOZwwofKamaJCQkcPr0aUWYK+jWrRvt2rUDirfBLOz2pZdeYtasWXTo0EF5XNiPSEpLTEzkxRdf5ODBg5oEIzVnzpyhWrVqWFpakpmZiV6vl2uhB4jQ0FDGjRtHQEAAmZmZmoRGkfwqxnOxFheiXNERQqDX69HpdFy5coVt27bxyiuvEBISomxCmyM2vQFmzJhB165dMZlM1KlTh2HDhrFw4UKaNWtW5j5QCImio6MBlPci5hJubm5lej5J1UIIdKdOnap0WxTzULhjt6KDyX/+8x+lW4pEUhTURdz69OnDuHHjNOO4iOOoBbqrV6/mxo0bFXjVxcN8vmFvb0/nzp2ZPn06u3btYufOnSxbtowZM2bQqVMnWrZsSfXq1cnOzsbOzo4vv/ySJk2aVORbqDIYjUY8PDyoUaOGMn9LTk7m6tWrQPHWuVlZWXTv3h0PD488HeSTkpI0xToCAwOJiIgoljBXoP4OdOnSheeff55JkyZhY2NDTk6OMpcVzxGFZ8Q8RMw1xD9RbEMUDdHr9dSuXZs1a9bw+OOPK8eSyZz3ltDQUCUZXJ2cUxGoBbqdOnXSdCUTSZIWFhZcuXKFDz/8kJMnTyrrIImkrBGJ6c2aNWPlypV4e3srfg7I8398fDz/+9//ALC2tpaxofscse6+fv06zz//PL/++qtmn7GyoB5Ta9WqxauvvsrcuXPx9PTEysoqT/wAUMZq8dqAgAC+//57li1bxty5c1m0aBGffPIJBw4c4Pr168rrxbxAFEqys7OjW7durF69WgpzH2CELxwyZAheXl6KXYnHQ0JCCAsLA4q/7yOp3Ig53K1bt4iIiFDG1YKeC9C2bVsAxa+IOKQoEhgUFATkrlPUa4ecnBxOnjzJm2++ybx58zh+/LhmXWJe9E/83qdPH+bMmcN///tfmjVrpikUC7lxSfH8kSNHMmHCBCV+qhYfh4WFcejQIeUai4uM41ccLi4u9O/fn+effx4PD48yE+YKRo0axbx58wA0a2m14Gv79u3s2LGDa9eulfLdFB+1QHfs2LEsXbqUpUuXAnKP6UHEXKBbr169POsg4YPj4+NZt24de/bs0bxWIikrdDod1apVU/Z+xLiu1+tJTk4u9HViLH/kkUeYOHEi7dq1yxObVMc0xb+BAweyfPlyQApzJUXDXKBbt27dfONHgvj4eL7//ntAxo8k5YsQ6E6dOlUpdm1eyF3EcxwdHXnmmWcA7XxVIpFIqiJy9iaRSO57yrqDrggADhw4EKPRyIcffkhSUhIAr732GhMnTtQ8TyIpCNHVQXSQFEljJpNJ6SyRX1JYSYW56uM4ODjQqlUrTpw4oVyLqCodGhpKRkZGpau0Lal8qKtSNmnShAsXLmiq/ZpMJo4cOcKff/6Jl5cX9vb2ZXJe4VvVx1N3ZBPfKxmorBwEBAQoyUH5+bS9e/fi6OjItGnTqF27dqnPJ+59fHw8U6dOJTQ0VKkELDa9LS0tWb58OZ6enpw6dYrz58+TmpqqiM2cnZ2pXbs2Dg4ONGrUCDs7O6VioDqBoyjjvHjPderUUV5vMBgYMmQIixYtKtaxJOVLQkKCZiNFBKIdHR2Bii9EkZ2djaWlpSK4EHYtulRt2rSJRx55pESJ75LKw40bNzh79iyAZmPu0UcfxdXVtdjHU1fg9fPzw83Njf/973/89NNPmkrpouBQeno6L7zwAqtXr1bmkWrf3bdvX7Kysti4cSPnz5/XXKMU5t7fhIeHM378eKWIgRB45+TkYGtrS+3atenduzcNGjSgUaNGymsSEhL46aefiIiIICoqStNVVNhVeno6J0+eZMSIEfz3v/+lY8eO+V6D2IipWbMm/fr1w87Ojr59+/LII49Qo0aNPALgsiInJ4fY2FhNJx+DwYCbm5uycSnt/cFFCHSFL1R30FV3ooiIiGDGjBmsWLGCli1bVvBVS6oK6kr7ffv2Vfzm3TroTps2rUqJEMwTRcR7q127trJGnDBhAnq9nhs3bnD79m1cXFyoV69ehV1zVUOv11OrVi2aNGnCsWPHlNjj77//TqdOnYqVvO3m5saECROwtbVlz549yhhpnihpaWlJamoqP/zwA88991yJqvCrvwONGzdm8uTJtGnThrfffpvExETlbyI5XcSFILcolvo4Yu7i7OxMhw4deO6555QCOFKYe+8JDQ1lxIgRxMfHk5WVxXPPPadJzK4IhEB3zpw5mg66IoFSxM+FQPett96iY8eOFR4vkNyfmAt0zTvoqn3WhQsX2LhxIwaDgeHDh1f4d0lSfoj7GhoaypgxY4iNjSUlJQVra2seeeQRbG1tK/oS80XYrL+/P02aNOGPP/7g66+/Jjk5WVN0RsQL1B0m1eJbdTEkkcCuFmmYTCZ8fHzo3bs3/v7+SkdIyYOJsJXatWtTp04dwsLClJiWiIN+8skntGjRQtkDkFR91H5y2LBhODg4sHnzZry8vPIdG8XvQ4cOZevWrcTExChrbQsLC7Kysvj++++5efMmfn5+9O/fX8nLSEtL48cff+TkyZP8+OOPyvrDvFuZ8GMiHu/j48PgwYM1xXvV12a+LlGv/UeOHMnly5fZuXNnnm7QR48eZdKkSVhbW8s5QBXD2dmZgQMHYjAYWLp0KdOnTy8TYa4gvw66OTk5mp+3b9+uPLeiOuhaWFjQq1cvQO4xPcgUpYOuWKNfvHiRbdu2odPpGDZsmFwHScoFsT+v3vc5duwY/fv3L3BfUh3TfPTRR9HpdGzcuJHjx4/nyeEUvzdv3pz33nsPkMJcSfG4Wwdd9dzy3LlzfPHFFxgMBp588knpNyXlyt066Io4TnJyMhMnTmTp0qW0atWqAq9YIpFISo+cwUkkkgeCshToqhcugwcPxmQy8frrrzNr1iwpzJUUCwsLC5ydnalfvz6BgYEAyqLj+PHjXLlyRen2LCgLYa7A19dXOaa6s1VwcDC3bt2qUomckorDZDJhbW3N9OnTOXz4cJ5Ny+zsbNatW4eHhwd+fn5lkugoFur5dQRq3rw5zs7OpT6HpOx47LHHmD9/Ph999JEigBWdRcTPu3fvBii1QFcEqZOSkhgzZgzXrl3TCHOFr6tevTqbNm3i7NmzpKWlFdrpxN3dHVtbW1q3bk2LFi1o1KiRUkHbwcFB81x1RxXzBPNWrVpRrVo1MjIypDC3kpKdna1JkhD2IpK7K/peWVlZ0blzZ7y9vQkNDdUkd1haWnLz5k1CQ0Px8fGRieVVEHHPRLcGa2trRZDt4OBAmzZtNM8rDmq/1L17d5ydnXFycmLHjh0aga56TTRjxgxWrVpF9+7dleOI78CgQYMwmUxs3bpVmcPKIkX3N7Gxsbzxxhv5CnNr1qzJSy+9RKdOnRRRrqB169YADBgwgPj4eBYvXszRo0dJT09X5orCl1laWpKQkMALL7zA3Llzeeyxxwos7GJhYcHQoUN55JFHcHZ2zlNAo6w5ePAg586dU84hxoV+/fqVSGgkuf+wsLDQbC6qBbpCKGZpaUl4eDgvv/wyK1eupEWLFhV4xZKqhDqRp0+fPsrjdxPovvDCC9SvX7+Crrp0mFfFFnEHAB8fHznPLQFCyCI6vovx/Pz586SlpWFra1usz7VWrVqMGDECQCPQVRd2EePl77//zsCBA/Hy8lJstjior8ve3p5HH32UnTt3snv3bv755x8uXLigEQRDbqElMV8Rv+fk5NCsWTOmTJlCmzZtlCJacv107wkJCcHf35/4+HgsLS1ZtmwZBoOByZMnK0m2FVUhX91BVy3QVXf2FQLdjz76SAp0JeXK3QS66udcuXKFrVu3AkiB7n2K8I2hoaGMHDmSuLg4rK2tCQoK4rPPPgOotAJd9Zy2U6dO+Pr60q9fPz7++GNu3bpFZGSkkpip3j9Qj+HqWK0Yt83juA8//DATJkygTZs2eWL3kgcTk8mEvb09U6dOVQrJ6nQ6xW5u3rzJhQsX6NKlS4XOPyRlgxj3QkJCGDVqFMnJySQnJ/PSSy/xySefFLgmMRgM1KpVi6lTp7J06VLS09M1c9LMzEz++ecf/vnnHzZu3Ii1tTU5OTlkZGQQHBysWY+I/Ugh1hE/5+TkYGVlxfPPP0/37t2VfUa10Kww1NczfPhwfvvtNxITE5VCBQCXL18mISGhTAohS+49NWvWZPDgwXTu3JnmzZsDZbvXkp9A12AwVCqBbmG/Sx4s7ibQFd8No9HIpUuXlHWQFOhKyhIxRjdt2hQHBwcyMjKUeGdYWBg6na7QeKKIj1pYWPDII4/w559/cvTo0QJfEx0dzffff0/v3r1lkSFJsTEX6L7yyitERETkGz+6ePEiW7ZsAZACXUm5UxSBrqWlJaGhocycOZOVK1cqOe0SiURSFZGjqUQieWAwF+gK0aNYgIhkSYCvv/6aLVu2cOnSpUKPBTBkyBB++uknJk+eDMhkdMkdREAmMzPzrs8VQkKxOSMEjadPn9YcqyyFuXCn85k6CU0EltQJdBKJ2NArCNGx1svLi8mTJ2Nvb68kR6i78L3//vscOHCgTK5JCDlCQ0Pz/K1GjRplcg5J2WFvb0+/fv144403sLe311R5VP+8e/duPvvsM27dulWi86iFuaNGjeLq1at5hLmChIQE/vnnH5KTk5XX6fV6pQOKpaWlshkeHx9PSEgIP/zwAx9//DGTJk3Cz8+PiRMnsmrVKr788ktCQ0NJTEzMU9Va7Uutra3JyMhg4MCBUphbyRDjZXJysmYsFAix5N384b2gc+fO9OvXTyMahjv2f+vWLf766y+g/ARqkvJHjG3CdxmNRmxsbHB3dwdKfm/V65fmzZszYcIEpk6dCtyxH3UHEjF2v/rqqxw5ckQ5htiYARg8eDCjRo2iXr16vPrqq1KYex+TmZnJtm3bOHfunGYjOScnB1dXVz777DNGjhypCHOFnampWbMmPj4+fPbZZ7z88stK8pkQCokENUtLS5KTk3n33Xf55ptviI+Pz/eaTCYTtra2eHh4lLs4NjExkd9//x2dTqeZL9jb2+cRI0sebIRAd8qUKXTt2hXQdnVSC3RnzJjB+fPnK/JyJVUM9Tjep08fxo8fT4cOHQCtL1ULdFevXp1vQauqiHr+I+e5JcPCwgKdTscTTzyhKdB3/PhxRdxaXIRAd/jw4bi6uirF/9SFqnQ6HWfPnmXFihXKdZR2XWU0GqlXrx4vvvgiW7duZfr06Ur3KkAR4xqNRiVWWr16dZ588knmzp3Ll19+yYABA5SYqLhWyb1DiCViY2OxsrLCaDSSk5PDqlWrWLt2LZBXpH+vUQt0O3funCf5V8TwhUD3xIkThRZ+k0hKg1qgu2LFCry9vRWfC2g69Vy+fJmtW7eyZ88ezWsl9wcWFhZcu3YNf39/4uLisLKyIicnB71ez6VLl/jss884cOAA6enpFX2p+aIeb+3s7GjTpg1r165l4cKF+Pn54eTkBKD4U71er6zFxbxCjPdij0g8t2fPnrz22mts2LCB7t27S2GuREHYXZ06dahbty6QOzc2mUxERUXx3XffKY9Lqi7mwlzhJ/V6PRcuXOCVV14hNDQ03/ssHuvWrRvdunVT8i/EOKru4H3p0iUCAgI4d+4c165dA1DihSKmLx6DO+N0zZo1ad++Pdu2beM///mPEhtVj+dFQVxDo0aNcHBw0OwRif3QguKpkqqBs7NzuQhzBaNGjWLevHlA7r6QupmFyWRi+/bt7NixQ7FviaSiMBfo1qtXr8B1kBDofvXVV5rXSu4v4uPjlbyNe4GwtXr16il5TiKHKDw8nPj4+Hz3RAUidgSwfft2du3apTmuOk/T0tKSuLg4Vq1axd69e+V4LikRaoHu8uXLqVOnToF+88KFC2zZsoVvvvkGkH5TUr4Ige7UqVPp3LkzkP8eelhYGDNmzCAoKKgiL1cikUhKhSzjK5FIHijKsoOuEJ7p9XqlaqBMRpeAtnr1li1beOWVV7Czs8uzuSLspWvXrhw4cAALCwsMBoPSWWfXrl34+flhbW1NVlYW1tbWZSbMFddoa2urWYiLRM7Y2FiZbP4AYO6zoqKiMBqN3Lp1i9q1a+Ps7IyNjY3y94I6iYhjdOvWjT/++IOjR48qfxNCi/T0dGbNmsXKlSvp0aNHqa/9xx9/5PLly5ouQdWqVWPQoEGFXqukYrCzs2PAgAGYTCY+/vhjTQdddUVeEZB+/vnni1XZ+W7CXCCPX1R30lU/zxwhNhc+2sLCgvDwcMLDwzlz5gwArq6uWFlZ0aVLFxo3bkyrVq3w9fVV/CzcSVyeOXMmU6ZMAeScoTIhbEIUyzC3h8TERIAK74IjbGbkyJHs379f2RhXd5QICAjQPFdSdTAfs4QNGo1GkpOTSU1NLXViofocXl5e+Pv7Y2lpyaeffpqng66FhQUJCQm88cYbLF68mI4dOwK5GzN6vR4/Pz9atWqFj4+Pcq3S7u4fxDgZHR3NwYMHSU9PVzadc3JyqFGjBkuWLKFNmzb5dow3R9jVuHHj8PLy4ssvv+TgwYP5dhdNTU1l6dKlpKWlMXTo0DwVokszxyvqHFE87/Tp0/z+++/KJrkQY/Ts2ZOHHnqoxNchuT8pTgfdGTNmyA66kmJh3kFXzBXu5w66krJHdM4VXZuys7P566+/6NChQ4k6hRXWQVfdafSnn36iWbNmSlfU0swbxeusra2xsbFh+vTpANy4cYPk5GQuXrxIdnY2BoOB6tWr4+PjQ40aNahXr55yDNkVreIwF0tkZ2ej0+mwsrIiMzOT5cuX89BDD9GqVauKvlTZQVdSqRC+s3nz5qxYsYKXX35Z00FXJFgajUZFoAuyg+79hsFgYNGiRcTExGBjY0N2dram46IQ6ELl7aArEHNbR0dHunTpQpcuXTh37hzXr1/nm2++ISIigpiYGNLS0hQBrphfAFhZWVGvXj3atGlD7969ad++vaYQstwbkphTr149nnzySRYvXqyI2oWY8pdffuGxxx7j8ccfr+jLlJSQgoS5wn9YWVlx7tw5JkyYwLfffouDg0O+fsLHx4fRo0cTGRnJpUuXNMWw1IWpQbtGF38z7/5tMplo27YtTz31FL169aJWrVoaH1WSsVnkjNSpU4eQkBDlvCaTiZSUFCIjI2Ws6T6hvOZuo0aNwmQy8cEHH2j26NW5chXZQVciUXO3DrrqdZDsoHt/c+PGDaZMmULHjh2ZMmXKPYt3GwwG7OzscHd3JyoqCrgz7wgJCSE8PFxZg5ijHu+3bdvGhx9+CKDkeaqLcYo5qYWFBfHx8axbtw6TycSQIUMKPL5EUhDmAt2ZM2cSHh6er98UAl2QHXQl5c/dOuiaC3RlB12JRFJVkTuEEonknpLfBP5eT+rLUqBr3iFPLk4kYtEQFhbG8OHDSUpKom/fvkrVHzXCXlq3bo1Op1M2A+FOYs/58+dZtGgRc+bMwdramqSkJKZOnVpqYS7kCnlcXV0JDg7WBH5sbW2VCtWS+xN1wgbAN998w6VLl/j5558xGAzExcXh6emJs7MzQ4cOpUOHDvj6+t41oaFx48ZMmDCBoKAgkpOT84gv09LSeOmll/jggw/o06ePIvwtbrJESkoK//zzj1IBXpzH3t4eLy8vQHY9qYzY2dkxcOBAgDIV6BYmzAWtLYhgorpDpKiyrxbritepHxOb6eK46qrXiYmJ5OTk8N133ykVMN3c3KhXrx5du3bF0tKSKVOmSGFuJUf4JHVFSJ1Ox+XLlwkLC6Nu3boV6luEzTg6OlK7dm2uXr2qSQwBCAwMJCUlRXaHqIIIv6D2MaIDva2trSahp6zs0N3dHX9/f6ysrFixYoVGoCs2Bm/dusWSJUt45513lIrt6o0ZKcy9fxF2tmXLFoKCgpQuNWIdMXbsWKVrY1FsUoy3Op2Oxx57DEdHR0wmE4cOHVIS3dQbL+np6axZs4asrCyGDRuGh4dHsd+DOF9iYqJSfKio3x+dTselS5d49913SUxM1BT9qF+/Pv7+/oC0fUlepED3/kY9DqvXEvdqjqheo/Tt21c5rxToSopK27Zt6dSpk5L4APD3338zffp0rK2tS2TPBQl0Qbu2+uqrr3B1dVUSfUr73VF/HwDFxlu3bp3nueqiXequV5J7S35iCXE/RHx7zpw5lUKYKyhIoCvWbnq9Xgp0JfcMKdCVWFhY8Pbbb5Oamsrx48eV8UzcW7GOrUoCXci9/pYtW9KyZUv69OlDTk4OV69eJSIigvT0dOLi4jAYDLi7u+Pg4IC7uzvNmjWjWrVqmvmEFOZK8kPYWL9+/di3bx8BAQGK3wRIT0/n6NGjPP7449KGqiB3E+aq55qjRo2ievXq+R5H3PuHHnqIGTNmsHr1aoKCgsjOztbsOeZXEFj9T5y3cePGdO/enVdeeQUrK6s865eSYm1tDdwRHIvrEP8sLS2xt7cv1fElDwYitq0W6BoMBs1+vRToSioLUqArEWN8fHw8ycnJ2NnZ4e/vT4MGDcr93BYWFlhYWNCxY0fOnj0L5Harj46OBvKuQQoT5qrnEc7OziQlJWn2SC0sLIiLi2PdunUADB48GBcXl3J/n5L7C7VAV/hNKdCVVAYKE+iKJgJSoCuRSKo6cgSVSCT3DDFxj4+P5/z585oKUJAbwBaB7fLEXKDbuHHjPNcgEii+/vprtmzZwqVLl8r9uiRVG3XH3JEjR5KUlATAzp07SU5OLvB1vr6+mmq8RqNRSV779ddf2bVrF8nJyUybNq1MhLmQ2/1PnEcsvg0GA9bW1tSoUaNkH4Kk0iPENikpKezfv58XXniBN954g82bNxMdHU1CQgJwp4vuuXPnWLZsGRMnTmTPnj1kZmYWeFxhe7169WL27NlArmhS/XN6ejpz585lz549hIeHA7mdyIvKzp07+fbbb4FcYS7AxIkTZcfnSo4Q6M6ZMwd7e/t8bQRg165dfPbZZ9y6davQ491NmCuCiyJpXnS7E4Jg4feE/Yk5iaWlpWYzHbQdd8X/4nUioVRdtCMyMpJjx47xySefEBQUpLluGcisnHh4eODh4aHcf7hznyMjI5UK5BWNyWTCzs6OUaNGYW1trblOYftZWVkVfJWSkiDupSgIJPyP0WgkPj6eAwcOaJ5XVjg7O/Pss8/y4osvAnf8mblY4cKFC6xfv56QkBDlMXM/Jv3a/YfJZCIqKopjx45pxjij0Yi1tTVdunRRksCKiroIRseOHRkxYgRt2rRRjqsWvIl54+eff853331HXFxcsd+DEOZu2bKFV199lW3btinvTZxHnFvdMT0tLY3jx48zdepUoqKiNHMLKysrHnroIZo1awZI2y9vzNcI6vtUmREC3SlTptC1a1cAJcFC/KwW6J4/f74iL1dSRNRdcjIzM/MU7FNTnPVtcVH70j59+jB+/HilWIK6q49aoLt69Wpu3LhRbtckqTrodDpcXV2Vny0sLAgKClISF0s61xQC3eHDh+Pq6qoZ18X/ISEhfPnll4poXG3LpXk/5qiPqe5qVdDzJfeG/Drmwp0xU8T15syZw/jx44Hy9aPFRS3Q7dy5s6YztIipqwW6J06cUN6TRFLWmAt0vb29NT5XzAEARaC7Z88ezWslVZu6deuyaNEi2rdvr8xPxb0176B74MABpcBpZcZ8XW1tbY2DgwNt2rRhwIABPP3000yZMoVp06bx9NNP88QTT9CuXTtsbW3zzCXkWC/JD2FjtWvXpmXLlgBK/FP8v3XrVk6cOCFtqIpRFGGueq45ceJEIP/4knp90qtXL1577TWGDh2Kg4NDngLrovOymA+KQlnW1tY4OTkxa9Ys5s+fz+zZs5UiSOIcZfGeAZKSkjT+02g0KnuVEklR8Pf3Z+7cuYB2X0jELU0mE9u3b2fHjh1cu3atIi9VIskj0K1Xr16B6yAh0P3qq680r5VUTdLT03nnnXeIj4/H1taWxMREvv32W7Zv387169fL/fxiDBfxVPGYyWTi4MGDmueInwsT5oqY0qBBg1iyZAkdOnTQrOdEvEl00P3hhx9KtD8qKT+qyj6luUC3bt26BfpNIdD95ptvAOk3JeWLEOhOnTpVaXalLoZsLtA1z7eUSCSSyo4s3SuRSO4JIjB+48YNxo8fT2xsLG3atKFGjRp07tyZRo0aUa9ePby8vPJNbhWvL8tqpWXZQVciAZSOuSNHjtQkGp05c4b4+HgcHR3zrS5VrVo12rdvz759+5TFr1jMx8TEsHPnTjZv3kxoaGiZCHPhzqImLS2NqKgojXjNYDDg6emJg4ODrA58HyIWs9HR0axevZrDhw8TGhqqJG2IQKAI+un1ejIzMxVBbXh4OM888wx16tTJc2x1xd+nn36alJQUFixYoKm2qhZaLF68mLNnzzJo0CB69OihKdSgtjv1dyYrK4utW7eydOlSQCvMbdu2LQ8//HB5f4SSMqCgDrrmFXnv1kH3bsJc9aa7ra0tbm5u9OrVi3r16uHs7AxAbGwsqampnD9/nvj4eGJiYggLC0Ov12u6VIrjiYQn80676ir/4jUiYDl06FAWLlyoPC79auWlRo0auLq6EhkZqekOmZOTw44dO2jdujWOjo4Veo3CfpycnDQiXPF4TEwMV69eVWxcUnUQ91Dcu+zsbI2/CA4OLrdz16xZk2effRaDwcDq1as1Y7eYC/z99994e3szfvx4nJycyu1aJJUHnU7HjRs3lCJV6k24xx57TBGCleS46g66YWFhXL58maysrDyFL8S8ce3atdja2uLn51csP5yens6+ffv47rvviIiI4MMPP+TkyZO0a9eOp556CisrKyWhTnDkyBH++usvvvvuO+Lj45XvgphXNGnShEmTJskO5fcAsQ64desWoaGhdOnSpcy6jNwLZAfd+wtx77Kzsxk7diyRkZG0aNGC1q1b4+npSceOHbGwsMDNzQ3ITf4ur+666u9Cnz59lDVLYR10dTod06ZNkx10H2CEzQwePJg///yT7OxsZf0cGBhY6uMX1EFXvT4+c+YMu3btwtbWlm7dupWLX1cfSxbRqBzkJ8wV4vCChLn36t6JOWdaWhoWFhbY2Njk+zzZQVdSmZAddCW1a9dm6dKlzJo1i1OnTinrWjGmqgW6UPk76JpTHPuUtiwpKsI3Tp8+nUOHDil+02g0KnsAmzZtwtvbW1nXSSo3BQlzSzPXVK9POnbsSIMGDejfvz8rV64kJiaGW7duaYr8ibVHzZo1cXd3Z9iwYbRt25bmzZvnuc6yQq/Xc/XqVS5evKjs6Yv3W6NGDTw9PcvsXJL7n/w66IoC17KD7v2LiB1mZWVhaWlZZeZTsoPug4mtra2SK5SRkYGFhQUpKSlKM4fy7qArxvru3bvz3//+l5ycHCWeGhsbC2ibEhVFmNuvXz+WLFkC3NnHNBqNnD59WhPXVwt0QXbQrQwIH5KTk4OVlZVyvyozsoPug4H5faoK++iyg65EIrmfkbuCEomk3FEHxkePHk1sbCw6nY7Tp09jNBr5448/MJlMODk54ePjQ+3atenZsyfOzs60aNECe3t7JSlCLX5Rd7MrKVKgKykrRCfGt956i7i4OGxtbZXA0M2bN/n0009ZvHhxnkWrsLUJEyZw6NAhDh8+rPxNLHSFGEP8XlphLtxJFL58+bLSAU3YO0CXLl2oXr166T4QSaVDLGIjIiKYPXs2Z86cUTYo1fcf8lZ6E35w7dq13L59G39/f3x8fPKcQ71pOW7cODIzM1m2bJlG5CN+zszM5Mcff+To0aM888wzPPnkk7i5uSlJa+pEEoCjR4+yb98+peOZEKrrdDqsrKzo06ePXIhXIQoS6Jpv+BUk0C2OMLdv377069ePnj173lVIk5CQQFhYGHFxcfzzzz/ExsZy6tQpEhISFL+rTthQVxYUP6u79A4ZMkQR5srAZeVG+MhOnTpx7tw5TdAP7nQbSUpKwtHRsVIE2lu3bk3jxo25fv06BoNBqSAIskNEVadRo0Y0atSI69eva8bjr776ioEDB9KxY8dyOa+rqyvPPPMMaWlpbNq0SamULnxXcnIy3333He3bt6dHjx6V4nsgKT/EPOzChQtA7lxQbNa5u7trnldczOeMhw8f5uDBg+j1ek3FXrEeT0tLY+XKldjY2DB06FCqVat213MYjUZOnTrF1q1biYiIUJLzfvnlF3755Rd27NhB3bp1adq0KQaDgZiYGFJTU/n7778BNPNXMa9wdXVlyZIlMsntHqCOI/n7+2Npacn8+fN56KGHKo1Atyh+UAh0xbWqBbrqzcXw8HBeeuklVq5cqXTxkVQe1H5g7NixnD59GoBbt26xf/9+ANzd3bG0tKRz587UqlWLdu3a0bhxY2rUqIG9vX2B3XVLsz5Qfxf69u2rPF6QQPf3338HkALdBxhhh6LgmpjvGQwGfv31V3777TeNLZWEwgS64lx//fWXYvvlJdCVVB4qszBXjMOhoaFMmzaN8ePHM3jw4ALnmgUJdIW/BaRAt4py8+ZNzp07x0MPPVRlivBIga4kP4Eu5PrRqi7QlUjKGlGU2MHBgaFDh7Ju3Tql+KWIq589e5azZ8/y2GOPydhnJaewjrmlnWuq1yUuLi50796ddu3aERUVxeHDh7l9+za3bt3CZDLRsGFDatasSZs2bfDy8srXZspyvBV2eeXKFXQ6nRKz1el05OTkULNmTTw8PMrsfJIHA39/f3Q6He+//36+OR05OTlKfoYU6FZ9xBr2+vXrzJ8/n6lTp9K+fftKtTYwL4yuvjYp0H2wEPerc+fOfPPNN0ps8V4LdOFOkXcx3gp7CwwMJCYmBhcXF00Oc2HC3P79+7N8+XLluL1798bCwoINGzYoAl11bqgQ6Op0OgYNGiQFuhWEuinVSy+9xPz582nZsmWV8ClSoHt/I+5PdHQ0oaGhdOzYscrst0iBrkQiuV/RmczVFxKJRFKGiAlgaGio0k1ULZ6BXAGNmFip8fb2pnr16rRu3ZrmzZvj6elJu3bt8q1iXppuFOI158+fVwS6kBt8Vwfwn376aSnQlRTIL7/8wiuvvAJoN28aNWrEypUradiwYYGdQffu3cuiRYu4efNmHhsWr1Hb4tq1a+nVq1exhbkAt2/fZv78+XzzzTeapHMrKyvmz59P//79q8RCTVI0xP0NCwvjueeeIywsTLm3Ikgo7FAEFNUCQ3PbGzZsGGPGjCmSH1y3bh3Lli0D0Ph/cU5Bq1at8Pb2pn///ri6umJhYYFOpyMkJITffvuN8+fPExYWphxHHcAcPXo0b7/9NlA1KoBJcklLS+Pnn39mwYIFmg666o6lAM8++6wi0BW2mp8w1/x1/v7+vPbaa0pipXquIIKM6sfzIzIykuTkZI4dO8b58+cJDg7mwoULWFpakpGRoTxPbIQbDAZFmLto0SJACnOrEr///jv/+c9/gNxxVXTCeeKJJ1i5cmVFXp6CwWDAz89PmbMCim1v3bq1xB0tJZWDF198kX379mlsEGDkyJHMmDGjXIuoXL16lS+++EIpTKQW9hgMBpo0acKOHTtwcHCQvu0B4K233uLrr7/O00185cqVPPHEE6Wed6kTyp577jliYmI04lyBOK+9vT0LFiygb9++d7W/Gzdu8PrrrxMYGJinWqyw54JQJzWL17i7u7Nx48Z8C9RIyhZzYW5sbCw2NjbUr1+f1157jYcffhio2Hm/sN3w8HCCg4N55JFH7vr8Y8eOsXbtWo4cOQKgxMDUa606depIgW4lw7xj7unTp5UiPcKXCB+pTmKwtLTEysqK2rVr0759ezw8PJRiQV5eXlhZWeU5l/A5xR1b1d+F3377jc2bN3Py5EkgdxxXJ6L37t1bCnQlfPDBB2zfvl0R7+Tk5DBw4EDmzZuHo6Njqf1rVFQUX375Zb4ddMUY/OijjzJ27Fi6desGyHjO/Uh+YgnzuE1FCnNFrHTMmDFERkbi6urK66+/Tt++fQstBmMymQgKClIEuqK4oEigFEUQGzduLAW6VYDQ0FCGDBmCvb09b775Jo888gj29vYVfVlA3nhlft8R8diFCxfyCHRBG4Nv0qQJY8aMYfjw4QUeT1L1uHXrlkagK/ZMxL01Go00bdqU559/Xgp0JZL/5+LFi0yaNInY2FhlT0f4y7Zt27Jt2zbNuk9SuShMmAvavJ6ymGsW53XlaTNivWQymRg7dizHjx/Pk8vk7+/P3Llzpe1WEOJzT09PR6/X58lnq+zs2LGD999/H9DmdKi/U6NHj5YC3SqMOn9z1KhRxMbG0r59e15//XVat25dKfyGWAPdvn0bGxsbrK2tC10HnTt3Lo9AF7TroKZNmzJmzBiGDRumea2k6hAYGMioUaOUfCB1HMbBwQE/P79yFeiK/J8xY8YQEBCg7O1YWVnx9ddf06RJE+W5RRXmipw8MZYfOHAgj0BXHUt1cXHB39+fsWPHVpmiYvcL5k2pYmJi8PT0ZPXq1TRr1qxS+JSixI/EdycwMDCPQBe0frN58+aMHTuWJ598ssDjSSoetW0OHz6cJk2a8OKLLyqC16qy35KTk8PRo0dZu3Ytx44dA3L3NsXPOTk5eHl5SYGuRCKpEsgRUyKRlCuiatAzzzyTJzAuFqDid7UATCQrhIWFce7cOXbs2MHcuXOZMmUKQ4YM4dlnn2X58uXs2LGDK1eukJKSUmi3MLUALD/MO+g2btxYuUbIraIO8PXXX7NlyxYuXbpUBp+Q5H6jU6dOdO/eXdPx02QyceXKFaWjirmNqrtFdOnSBQsLC81rBervy7p16+jVq1exu+SJ4125ckVJ1hSBnZycHJo1a0a/fv2KdUxJ5UadbDZq1CjCwsIUfyYSh9VdF8XfjEajklQsjiN+/uqrr9i0aRMXL1686/mnTJnC3LlzAZQkPHWVLnHMs2fP8uOPPzJjxgz8/f3x9/dnxIgRvPrqq+zdu5eIiAgAjQjTaDQyaNAgRZgrNtAlVQc7OzsGDBjAnDlzsLe3V4LQkNuxDmDXrl2sWbOGsLAw9Ho9t2/fvqswd8KECcydO1eTUCmOrfbR6sfVCH/p7u5OkyZNGD16NAsWLGD79u18/fXXrFy5kpEjR9K3b19q1qxJtWrVyM7Oxmg0MnjwYCnMraK0aNGC5s2b5xnH9Xo9J0+e5Oeff67gK0Tx22phmbheKysrmWRXhRFrlkGDBuHg4KD4JjFG79+/n9DQUADN/S9LfHx8GDZsGL169VLOIzZjLC0tuXz5MnPnzlXmj5L7m/T0dCB3XaBeH6sfLynCxmvWrImbm1u+xxQbz5aWlqSmpvL2229z7ty5QgW2OTk5fPXVVwQGBirnEfEHdfEZIZ4w/yeeI+arLVu2ZMuWLVKYew8QY+6NGzcYPXo0sbGxWFtbk5mZyZUrV1i8eLHS3Vjcq3uNWpg7ePBgnn/+efbt21foaywsLOjcuTNTp06la9eumuOo12ERERHMmDGDc+fO3Yu3IikCQpg7YcIEjTDXaDQq61vxT+1H4I4PvXbtGl999RWrVq1izJgxPP3000ycOJHXXnuNTZs2cfLkSa5duwagiCQh19/eLZ4J2u9C3759GTdunFKoxTyRR3TQXbNmDTdu3Cjrj0tShVAnqwk7O3LkCBEREXmKqZUE0UF3+PDhuLq6akTiYvz/888/2bJlC//++y9QcX5dUj7k1zEXqHTC3FGjRhEZGUm1atWIjY1l/vz57N+/X1OMzRx1B93OnTsrc0eRNCQ6RYsOuidOnFDes6RyIew0IyODuLg4Pv30U/744w9SU1Mr+tIUO7116xYbN25URB7m/lndQXflypV4e3srPhdy59eA0kF39+7dmtdKqjaig2779u2VGI763qo76B44cEBZ50skDzLNmjVTCm2LrqNwZ/0XEBDAxx9/DKBJVpdUDgoT5oo5WFnPNQt6XX62UZ7zWWGnO3fu5OzZsxpBj3jPPXr0KPfrkOSPsLHr16/j5+fHu+++y08//aT8DcpvT6esGDVqFPPmzQNyRWPm+SPbtm1jx44dSixLUnUQMULRWEXE3U+dOsX8+fMJDAys8LWBecOBVatWkZWVVeg6SHTQrVevXoHrINFB96uvvtK8VlI1MJlMWFtbY2VllaersrqD7vbt27l+/Xq5XINodCIKE4g9c4PBQFBQkPK84ghzLS0tNbHQRx55hEmTJikNi9TNNSwtLYmLiyMmJkYKc+8x5nPPmJgYqlWrxs2bN5k8eTIXL168a0Ho8kb4zsjISLZs2VKg3zTvoFu3bt0C/abooPvNN98A0m9WRsxF48nJyZw4cYKNGzdWmv0WsUYpLM4OuR10p06dSufOnQE0uUjmHXTVflcikUgqIzIiI5FIypXMzEw+/fRTEhMTNRVNgHwTYEVwT2yEqLuFCiIiIrh48SJr167l/fff59lnn2Xw4MFMmzaNFStWsGvXLq5fv05kZKTyGvVkDfIPlkuBrqQscHV11STlqMWHe/bsKVDMaDKZcHJyYvr06TRo0ECxN/Pupjqdjp49e9K2bVtNQltR0el0JCQksGjRIqV6oKjm7+rqypQpU5TfJVUfYSMRERFMnDiRmJgYTadkg8GAjY0N7u7uTJ06leXLl/Pdd9+xaNEipkyZokmYA60f/Oabb9i8eXORBLr+/v4sXbqUevXqYWVlpbFdkTAikkaECD0rK4vs7GxNcrPYVBXfryeffJIlS5Yoxynu90FSObCzs2PgwIG88cYbikBX2Jn65927d7N161YuXbrEiBEjNMJc0CZ4Pvfcc8yePRsoWkJ7fph3rBTnsbKyomnTpvTq1Yt33nmHTz75hC+//JKdO3fy6quv8vrrr7N48WLl3HITvGrh4eFBu3btFD8DKD/Hxsayb98+4uPjgZLbVmnR6/VYW1tTrVo1ZRw3mUxkZ2djMplwdHSskOuS5CJsQySgFxXhL3x9fbGzsyMnJ0cZG8Wmyty5c0lLS8uztioLxLqnXbt2DB8+nKZNm2oeF3PbU6dO3VWIJqnaCOFZZmYmkGubwuZiYmLK9Hyurq6aAkEmkwkrKytsbGwUuxPz0OTkZKZNm0ZoaGiB3wNLS0seffRRJk+ejJOTE9nZ2Zrvkvp9ijiEOLc6NuHp6cnAgQNZsWKF7DB5j9DpdMTHxzNu3Dhlk1vcP6PRSHBwcIUKdNUJQiNHjlQS22fOnMmvv/5a6GulQLfq8tprr3HixAlsbGw0sR5A87+4j+J/QJmrifV3eno6x48f54cffuDjjz9m/PjxPPvss4wbN46ZM2fy7bffcvToURISEpTXm6OeowpKItBdvXq1FOg+wDz99NM0bdpUGQtFktf7779PSkpKmaxjpUD3waUgYW55iCWKi7kwNyYmBisrKzIzM7G0tCQxMZF33nmHH3/8sdD4eGECXTGXFALdBQsWSIFuJSQ0NBR/f38lKV2v13Pt2rX/Y++842u63zj+zk6IJIIg9g6t2IratLV3zBCrZqkVqmipWbPUqFGbqlKbDj9F7b2FmgmJ7IQMmff3h9f3OOfmJrKX7/v16qtx7z3fc849z/2O5/t8nodVq1ZluUBXbaddunRh2bJlbNiwgdevXycZmO7k5JQsge7WrVulQDeXkZhAV4ypUqArkbxF/C4+/vhjmjVrBrz1D4n+8OTJkxw8eBCQiayzE4kJc8W+SGYngckK23jy5AnHjx/n9evXiv9BJPpq2LCh4geQZC5q23Rzc+Pp06ccPHiQ8ePH88UXX/DTTz8RFhaWI/oTfYGuEJep9+ulQDdnYmJiwuPHjxMkNjA2NubGjRtZLtDV97vfvHmTP//8k59//lkKdN9zjIyMyJ8/PzY2Npp+VO2HyWiBrpg/lixZEnibVDg+Pp67d+8CKRfmqu8vMYGu8EvFxsbSqVMnvv32W831SDKWxOaewofo7+9P//79uX37dpbFKqr7zs6dO7Ns2TI2btwoBbq5HEOicQsLC+BNFe6tW7dq9luyArHn7enpSdu2bd9ZBEMKdCUSSW5CRopLJJIMxdzcnC5dutCiRQulwpd+1RpDFSYSq8wjNkeMjY2VbJDR0dH4+Phw+vRpfvrpJ7799lv69OlD165dGT16NHPnzuWPP/7g6dOnvHr1Cki8uq4IEJICXUlqEHYyYMAAateurRGcAwQEBPDgwQMgoaBH2F6xYsVYunQpNjY2xMTEKL8X0b5Op+PkyZN8++23XLp0STk2uWJaX19fRo8ezbVr1xTngMjq1qhRI6pWrQoYriIpyVmIvtLPz48JEybg6empEebGxsZia2vLsGHDWLlyJWPHjqV169aUKlWKDh06MHbsWLZu3UrZsmU1DsGUCnSFrbdt25Y5c+bQvn17bG1tNRlXRaCI+L2o+2h1hndh56VKlWLkyJHMnTsXQFNtVZIzMVRB15BAd/PmzfTr1y+BMFcd4Dlw4EAmTpwIaJ01aUVddRe0Tu9SpUrh5OTEoEGDGDhwICCFuTkR0d90796dkiVLap6xeP5HjhzRbNxl1eaHl5eXwUQ0+fPnJ2/evNIxnoWoneELFy5MsWNYp9NRokQJRowYodl4E/O1O3fusGDBAmVTJT1tUD3et2zZki5duii2pR6rfX19+d///pdu55VkP0RQV548eQA04y1AYGCg5vW0IGxOJBYQ/65SpQrOzs6a6n1iHurv78+UKVPw8/NL9HdQq1YtBg0axJIlS3BycsLW1lZpX4h/RTIkU1NTRegrfA4NGzZk6tSpTJkyheLFi6f5PiXJJzg4mDp16mBlZaUIEMSaIS4uLssq6CYm5jE1NSUmJoavvvqKI0eOJNmGFOjmTAYNGkSZMmWIiorS+CzhbZ8CJPBniv5LBOGIRITiP2E7r1694vz58xw+fJjJkyfj5uZGt27d6NevH9OnT+fw4cOcPXuW8PBwZfwX54O32afV/eWnn35K//79kxToHjt2jJUrV2ZYRQFJ9kXYbPny5QGUOaeJiQmPHj1i//796baekALd9w9DYgnR52VXYa5IBCgIDw/n9evX7/Q1JibQFcFqYs557949xo0bx9OnTzP6FiXJxNfXl88++4yAgAAsLCwUAXl2EOiq7bRPnz4EBwcTGRnJrl27WLduXboKdH/77TfNsZKcjSGBrnpMzY4CXbXdybFfklmIfrFIkSI0b94cCwsLxQ8m8PT05PDhwzKZUTYiKWEukC3mmhmFun/cuXMnJ0+eBN4mAxP+zOrVq5MvX76susz3Fn3b9PPzw9zcXHluR48eZdmyZbi4uLB06VIlvkeQHRPmGxLo6v8tBbo5k59//llJTiQE/kCWC3T11+oBAQGYmpry9OlTdu3axYYNG4iKijLYn0uB7vuBmZkZ8NYXrx4bM0OgK+ypdu3aSgJPsd6KiIhg06ZNqRLmqtvXF+jWrFlTmd907NiRefPmKfebE5I95HQSm3vqJ94LCQnJsn08Q/6jsLAwdu7cyYYNG6RAN5eSlGhcaClEcl4fH58suUa1bbq5ufH8+XOmTZvG0aNHkzwuKYGueg9dCnQlEkl2x0gnPd0SiSSD0el0XL58mXXr1nH8+HHgbdCP/oJRv0sSk0b9irfqham6sp16saAOhBABIA4ODtSsWRMHBwcaN26Mra0tpUqVwsrKSnMNoo0bN24wZcoU/vvvP8251CKgrl270q9fP6WylOT9RiwGVq9ezY8//qiIx0QgcZkyZdi+fTv58+c3eLxYoFy6dIlhw4YRFhamOFxEtRVhe7Vq1aJJkyYMGTIkQTvqTJai+tC9e/dYvHgxN2/eVIJ/xe+rVKlSLFiwAGdn5wz9fiSZy6tXr/j+++/Zt2+fYjfChuzt7VmwYAG1atXC0tISeOvIE5t5xsbGeHh4MGfOHK5evaoE1OlnIO7cuTNubm44OTkZvA51v+rv78+9e/dYuHAhT58+1QSBqH8vwjbVNg9vRHONGzemZcuWgKyYm9uIiIjg8OHDzJ07l/DwcIMCXOEIFPOApIS50jYkqeHly5eKECKxMXjhwoW0a9cO0PZxmcWlS5dwc3NTfh+ib+7cubOSuECS+Yix09PTk27duvHy5Uu6d+9Onz59UrxWuHPnDjNmzOD69eua6qCimuewYcPo2rVrhvRz6qCl7777ju3bt2vERMLulixZQuvWrdP9/JLsw/Tp09mxY4ey6SHmiJUrV2bLli1YW1un+Ryi3T/++IPx48crm9aDBw+mcePGfPXVVzx//lwjwtXpdOTNm5d+/foxePBg8ubNm+Q5QkJCuHz5Mn///Tc3b97k4cOHCT5jZWWFsbExLi4uVKxYkS5duqT53iSp5/79+2zbto3ff/9dSVqlL+gqX7487u7uNGzYEMjY8TgpMQ+ApaWlsq75448/3llpOS4ujgsXLrB69WrOnTsHaP1kYs5RvHhxFixYQI0aNTLkviTJx8PDgy+//JKnT59q1ij61WsFomKivkjLkOhQXX3X2NhYST6lDtA0MjKifPnyWFlZ8dFHH1G6dGmcnJyoWLEi8DZASZ8jR46wdetWLl++DJDgt2RtbU3z5s0ZMWKErBD+HnL79m1cXV2JjIzUBNY0bNiQZcuWkSdPnnQLZvf19WXHjh389ttvBAQEJEi8ANCsWTP69etH/fr1gaxZZ0nSRnYWS7xLmKu+xokTJyqJ15KDTqfjzp07fP/991y4cEHpz9XnbtmyJcuXL0/3+5KkjsDAQIYMGcLt27c1fmjx3OLj4ylbtizDhw+nefPm71xvpBeG7NTc3Jzo6GgASpQoQfv27fn88881e5pq1D59MXdRr6XUyTwqVqxI3759cXFxAWS/m1vw8fFh/PjxXLlyRZMsW713XqlSJYYNG0bTpk0TtaWMRh2Y/urVK/LlyydtUJJpqG3N3d2dAwcOGPR9Dh48mAkTJgC5Q+SZU0lKHJEVFXMzE7Wtbtiwge+//x4ggV+iQYMG/Pzzz4rPQfalmYN6P0gICtXrIDEHE34+4evp1asXVapUUeZg6rayE9u3b+e7774DSHSv1NXVld69e1O2bNmsvFRJChg/fjyHDh3SxFuo54nOzs58/fXXODs7Z4pNJrZWF1VJ4U3it06dOjF69OhE90TFb+jWrVuMGzcOT0/PRNdBVapUUQq+SHIGgYGBuLi44O3tbTDOWPhh4uLisLa2plOnTvTp04cyZcqk63XcuXOHXr16KWJxfZFiaoS5hu4F4MSJE8yfP58PP/xQGf+z41iRG0ltUpjM5F3+o1KlStGxY0cGDx6Mubm5wTaEvd24cYNx48bx7NmzRPvNypUr4+bmRqdOnTTHSjKXpGxTf47m7u7OoEGDMv0aDdmmlZUVkZGRWFhYsHjxYlq0aJFkG7GxsZw/f57Vq1dz4cIFwPAeeokSJVi6dClVqlTJjFuTSCSSZCPFuRKJJFNITKBrKLuzo6MjRYoU4eLFi5r3xOJG7WxWLwQEaqezWkQmFkkCsfhwcnKicOHCVKpUiZo1a1KgQAEqVaqktOHh4YG7uzsPHz7UiH+lQFeSFC9evKBr164EBgYqtm5iYoKFhQXTpk2jU6dOiTpOhO2dOnWKMWPGEBYWpllMqQPXjIyMqFu3Lq6urpQrVy6B49vX15enT5+yZcsWbt++jbe3t6ZaaWxsLFZWVixfvpyPP/44U74bScYjpneHDh1iyZIlPH/+XLNALViwID/99BMffvhhku0IGw0ICODzzz/n7t27mmxpKRHo6hMWFsaJEyc4deoUp0+fJiAgwGCGNRMTE4oXL0716tVp06YNTZo0SXB9ktxFREQEhw4dYt68eYpAVz8DIZDAuSSFue83oj/QT96i3uhIjpNYfObRo0d0796dsLCwRMUyM2bMUMbOzHJAi2DRH374gdWrVyeoiD5mzBiGDRsmHeJZgDoQo1evXkplUYBu3brRt2/fFK8V1q9fz/z58wGU+ZsYK2vWrMmoUaOoV69ehjxrYVfh4eGMHj2a06dPJ1gHde7cmZkzZyaoLiHJPRw8eJBJkyZhZGSkBN8AFCxYkNWrV1OlSpV0G3MPHTrE+PHjlQ3tpk2b8tNPP3HgwAGmT5+eIGmHTqejQoUKfP3119SvXz/ReaH+66GhoXh7e+Pv709QUBDGxsZYWlpSuXJlzMzMKFKkiPJZ2ZdmPurv/N69e2zfvj3LBbrvEuaq56OjR49mxIgRyW43MYGuqOocExODm5sbkydPTtd7kqSOpAS66nVymTJlCA4OJiQkRHO86CvVyQ7EvwVqoa5a4KtOTiDes7S0xMHBgaJFi9KgQQMKFixI3bp1yZs3L/nz51faOnnyJKtWreLq1asJzqEW6A4fPjzdA5Yk2Zf4+HgiIyOZMmUKf/75p6aCPMAXX3zBF198AaRf3yoFurmbxMQS6mQDatFrdhXmTpgwgcGDB6f4GvUFuurqUh07dpSBlNkQf39/Jk6cyNmzZxMNTM9MgW5SdqpO4JE3b17Wrl1LzZo1E20rpQLdrl274ubmlqH3J8lcDAl01f1PVgt01cmFR40aha2tLePHj8fe3l6O/ZJMQ/S7Pj4+fPnll9y4ccNgDMjXX39Nv379ADk3zQpSEoA+adIkBgwYoDkut7Bt2zZmzpwJJBTmOjo6Mn78eNq2bSttNAt48eIFzZs3Jz4+3mBFPTX6Cck/+ugjmjVrRvPmzSlZsqTyenayX32Brqi2ql5DSYFuzkC9Xz5mzBj++OOPLBfovmutrhbDzZgxgx49eiTZXkoEugULFmTJkiXUqVMnw+5Pkj7odDp8fX3p0aMHfn5+QMJYYXWSzIwU6EZHR+Pq6qpUSlVfh/r3lBphrvp+xe/Rw8NDib/LTmNDbia1wtzs4udU+4/y5cvHunXrqFatWqJtJVega2RkhJOTE926daNPnz6Zcp8SLam1zcxcHyRlm+piLAsXLqRNmzbvbEsIdM+fPw8YFuiWKlWKxYsX88EHH2TGLUokEkmySN6sTyKRSN5BUhM58V6tWrWU144fP65MyMSkSThXChQowJw5c3j9+jUeHh6cO3cOT09Pnj9/jre3t9Kmum39dgRiESwc9Grhbnx8PLGxsdy6dYsbN27w999/Y2xsjKmpKVWqVMHOzo5GjRpRrVo1Ro0axbJly3jy5InicBQBk7GxsezevRtACnQlwBu7K1KkCAMHDuSHH35QFj+xsbHExsZy7NgxOnXqlOjCXPyWGjZsyIoVKxg5cqRSQVdkCFQHsJ0/f56bN29iZmbGhx9+iI2NDa9fv0an0/H06VM8PT2VTRr1cerqf5ktLpJkHOpg3T179iQQ5ubPn59ly5bx4YcfvvN5CxuNi4sjIiIiwfvqfnDPnj0AyRLoCodo27Ztadu2LY8fPyY4OJjHjx/j4+OjBAjnzZuX4sWL4+zsjIWFRYKMbtL5mDvJkycPbdu2BdAIdNWVo0TGSSnMfX/R779ev36NhYUFL1++5NWrV1hYWJAvXz5iY2OxsbEB3o6vSfV9Yo5YtmxZRowYwQ8//EB0dLQyfgo79PHxYeXKlVhYWFC7du1MyUiuFmicPXsWQLme2NhYHB0dlUzbcizPfAw5w0U/tWvXLoBkC3SFLQ0cOJDbt29z6NAhRZgthItXrlxh27ZtFClSJEOENKIfzZMnD506deLevXuK4FjY3bFjxxgxYgQlSpRI9/NLsgcODg4J1hHwJpB9y5YtzJ07Vwn0TW2/I8btJ0+eKOeJj49Xgt/bt29PVFQUU6dOVTawxTr/v//+Y9OmTdSvX19T3VeNOvjY2NiYfPnyUblyZSpXrvzOa5N9aeaj/s4rVapE7969ARIIdEWQxYMHD1iwYAHwZv2c3uNxSoS5KRXzmJiYULduXeXf586dIy4uTlMZoFOnTlKYm0kkx26cnJxYunRpAoGuvt2VKlWK5cuX8/DhQ65fv46Pjw+XLl0iKiqK0NBQTZtiPa0W4aqDeoQPUi2oFXYXGxuLp6cnnp6eyuZ0wYIFMTc3x9nZmVKlSuHk5ETNmjXp0KEDtra2SsJE0Z8bGxsTFhbGsWPHAKRA9z3C2NiYvHnz0qBBA/744w8lMELY5C+//IKTkxMtW7ZMtz61cOHC9OzZE0Aj0BUJF+Li4vjnn3+Uz9evX19WfsohJCbMhbdrh/Hjx+daYS686Z+rVKnCpEmTWLBggZJ4Qwpzsy+FChVi/vz5GoGuus8xNjbm0aNHrFq1CiBDBbrvslP1nHPo0KFJCnPh7ZpKf+4i1kxq279//74muZgkd1C0aFEWLVrEhAkTuHz5MiYmJpo1s7GxMffu3VPsOzMFumphbr9+/bh48SIODg7ky5ePIUOGSIGuJNmk1U6E77NAgQJ07NgRb29vAgIClMq5op+cM2cO+fPnp3379nJumskkVTFXnZwVYNq0aYpQIDvOuVKa9EVtY+oEnvp7paampnz88cdKnIe0zcwnOjqavHnz8urVK806SD/ZeVxcnLLHI57x+fPnuXz5MqtWraJ///5UqVKFJk2aJPBnZyXCN/vdd99pCmmIv2NjY9m6davyWSnQzb6oi6H88MMPGoGu/jroxo0bzJkzJ0MFuslZqwvB0YQJE94pzIW366APP/yQxYsXJxDoinuNi4ujXr16UpibQxDJgyMjIzXxwABlypTBy8tL4183MTEhLCyMvXv3AqSrQNfc3BwbGxtNElk1aRXmwttYFWNjYyXuTtivJGPJ6cJcQBML/PnnnycpzIW3SWKdnZ2VflMt0FX7j+7evasI5CWZS1LrIsgZtqm+l+TYkYmJCR999JHy7/PnzyvniI+PJy4uDnNzc54+fYqrqysHDx6kWLFi6X5fEolEkhqkOFcikaQZMZELDg7GzMwMa2trzftqR05iAl2xYH39+jXXrl1j6tSpzJ8/n/bt29OuXTuMjIzw8/Pj0aNH+Pj4cObMGUJDQ7l27RoRERHKRE5dKVdd5VZdjUIs1tWOe7XANyYmhuvXr6PT6ZSgNScnJ7y9vRNMGKVAV2IIsbCpVq0aefLkITQ0VJOd+q+//uLAgQO0b98+yXZ0Oh0fffQRW7ZsYeTIkYo4Xb2xIpwwUVFRREREcPbsWY0DSP2bEJs1ohKGhYUFixcvpkWLFkpbctMm5yOe4cqVK5Uqd8IBY21tzdSpU5UAnuRUkIyJieHIkSP4+/trXhe8S6BryK7EprcYP0qXLk2ZMmXemfFf8v4gBLpGRkbMnTs3gUBXPX5XrFiRkSNHAm/Fi5Lci+g3hHjhzz//xN/fn7/++ouXL18SEBBASEgIefPmxcrKCgsLC6pXr46joyNt27bFzs5OUxXRkENS/Lthw4ZcuHCBf//9VxFeiPfj4uK4ceMGq1evxsTEhBo1amR4cI5od+3atdy4cUOzyRQbG0vNmjWxsrLKFhv27xtivJw6dWqizvCUCHTVG2/9+/fn+fPnXLt2TVnfiHXL0aNHsba2ZuLEidjb22fIvRkZGdGoUSO2bdtGQECA0hebmpoSGhrK6dOn6dmzp7S7XEr16tVp2rSpRswlnvOxY8c4dOiQMl6nFtGHnTlzBng751Nvlnfr1g0vLy9Wr16tbLKL38nx48dZt24dgwcPTlbSGbWdqpPayHVQ9iQrBbqZIeYxJNAVG/0dOnRg3rx5KW5TknLUvslXr15ha2ub6GeTEugKjh8/TqlSpZg8eTKffvopAIGBgURFRXH69Gm8vb25dOkSnp6ehIeHExYWpqmOK5ILChvXTzAj7E68pw7aDA4OJi4uTvEfAdjb22NtbU1UVFSC+xH9ulqgO2LECEqXLp2Gb1SSExD25OLiwj///MM///yjscPg4GAOHz5MpUqV0jURixTo5j4SC1hTPy8bGxvMzMyIjo5OkHgvI8ksYa5ACHTd3d356quvKFWqlBTmZnMSE+iK55UZAt13Ba+p7dTd3Z1BgwYB77appAS64j2Adu3aMW7cuHS9J0n2oGjRoixcuFAj0AU09n3//v1MFegaEuaampri5+fHwYMHMTIy4vPPP88wH5ck9yD6zpCQEPLkyZOm+YW5uTmtWrXi3Llz/P3335pkSKIPnj17NlZWVkriGjk3zXiSCkDX//7LlClD7dq1gewV6/DixQv8/PwUYVty5oPq5MMPHz5k165dbNiwAXg7J1An7apUqRLDhw/Hzs4uo29Hkgj29vbUr1+fv/76S1nTwpt97o8++ojjx49rBDNqhK2GhoayYsUK4uLi6NChAw0aNKBFixaauLustG1DAt3Y2FhNjMgvv/wCQPfu3alYsWKWXKfk3WQXgW5K1kApXasnJtAVMaTx8fEyiVYOJCoqKkGCA51OR4MGDQgNDVUSD2akQFfYygcffMCpU6cUAbn4zaSHMFeQ2HghyThyujBX38+ZEv9RUgJdff/R2LFjM/5GJRqSsk0jI6NsbZuGfj+TJk1SrvFdJCXQhbeJmurXry+FuRKJJFshVxcSiSRNiInc48ePadWqFZcvXzb4OX2B7uDBg2natCmAsoBWC23Onz/PhAkT8PX1VY51cHCgXr16dO7cmfnz57NmzRp+/fVXduzYweTJk+ncuTPOzs6YmppiZmamOFbEIkGII/UXviLwSJ3JEFCqBQB4eHgQERGhXKe6Qq96Mb179242b97MvXv30u9LluRYateurVSwE9VOxOL1+vXrgFbkqI8IBKlcuTIbN26kRYsWFCxYUBGZqzNV6VdrEf+JdsTvLD4+HktLSypWrMiqVaukMDeXEhQUxPnz5xV7gzd20Lx582RngBQ2FRQUxK5du4iIiFAyrANKEIX4rOgH9+zZw6ZNm7h7965y3sTsXH1t70I6xd8/8uTJQ5s2bfjqq6/Imzev4lCHt8k24uPj8fDwYOHChXh5ecl+7D3A2NgYHx8fVqxYwaBBgxg/fjzz5s3jypUrPHjwgJcvXwJvNmkCAgJ4/vw5hw4dYu3atQwcOJDevXuzd+9eZRxOqm+pWLEi3bp1UwLC1PZnbGxMTEwM58+f58cff1SqlSXV56UH9+/f5/Tp08DbebhwOnbt2pU8efLI/jILMDIywtzcnPHjx1O5cmViYmIMjpG7du1iy5YtyVoriOdYqVIl2rZtS6FChYC3WXdFm3v37mX58uVER0dnxK0RHx+PnZ0dY8aMwcrKSlkziSCTK1euaK5XkrswNzdXKsyqN5h1Oh2hoaEcPXqUBw8epPk8x44d4/Hjx5q5puh71X2c2ocgxOpGRkacPHkST0/PFJ9XvV6SZF+EQLdLly5KVVl1tvu4uDj+++8/FixYwKlTp4C0j8cZGSCkjxDoDh06lPr16wNvKkaLqigyQChjEc86JiaGESNGcO3atXceI0QupUqVSrBGEePzpk2bmDJlijJe2tvb4+joiIuLC19++SUbN27k4MGDrF+/nm+++YYhQ4ZQtWpVypYtq/gy1dXyRNtqf496TSTOI9bxIomBqakpQUFBeHp64ufnlyDZm9q/JAS6K1euVKqZS3Ivalto3LgxefLkUWxZ+A//+usvTpw4ASTtv0wpQqDr4uJCwYIFNdUmxDX8888/bN68mbNnzyrXm5HrLEnq8PT0NJitH7R9TGhoKJs3b2bNmjVERUVpArsyiswW5gqMjIyoXLkyP/30E8uXL0+XNiUZixDo1q9fP8FeIqAR6B47dozw8PB0O3dKKuZOmDAh2YGVAn2BbqlSpZT90Pj4eDp06MDChQuVNiVZg7oCYmKk9vkIgW6tWrU0iV1Ee2qB7vHjx4mMjEzVeZJDYsJcsTcZEBDAgQMHWLRoUbr+ziS5D3Xf2bhxY7755ps0+UV1Oh0FChRg/Pjx5M+fX7FVsbduZGRESEgIc+bM4X//+x8g/UgZzbvEEer1MMCzZ89YsGABZ8+eTRDHk1X4+fnxyy+/MHXqVJYtWwa89Z+Lfl+Mx+JveDsH2bp1K3PmzNEIc9Xr/djYWKWPd3R0zOzbk6iwtrZWKnoK8bROpyM8PBxnZ2f2799PnTp1NGtfNbGxsZqExPv27WP69On07NmTXbt2cfPmTeBtv5NVc7bevXvzzTffKNcsxnBRtSwuLo6tW7dy586dLLk+SfJRr4V/+OEHWrVqpdiVuv9UC3Rv3LiRbraX0jVQatbq+gJd4cMVayApzM15iCSX6vHd0tKSrl27MmTIEFq3bq2MleokgEKgu23bNh4/fpymaxC20qhRIwBiYmIwMzNLd2GuJPPJ6cJc/WtMjf9IX6BbvHhx6T/KBryrYq56zMyOtqkvHp4wYQIDBgxQrjE5CIHu0KFDFaGu8CMJ21y5cmWK2pRIJJKMxkiX1V4piUSSY1FPAPv164evry9r1qyhcePGiQr91BmsLl++zLp165QqPOoKuuKzderUYeHChRQuXFjj5FM7H/Unk48fPyYwMJB///2XwMBArl27RmBgIKGhoZr2RVvqiitqZ5P+9avPa6jrVE8mu3XrRq9evfjggw9S+rVKcgnCrm7cuMGECRPw8vIC0ASb/fLLLzg7Oye7rcDAQP78808OHjzIlStXDFbF1UcsxESmziJFitCyZUu6du2qBNpLYW7u48yZMwwcOBBAE2yxfPlyWrZs+c7j1X31sGHDOHHihGaTpWrVquTJk4crV64o2bhAu/Dv1KkTrq6ufPjhh5o2JZKUEhERweHDhxNU0NUPpuzRowfDhg2jaNGiWXzFkozC09OT8+fP88MPPxAYGKi8LgK49auWgXY+JwJqAAoWLMiKFSuoVq2awXOp+6yNGzcqlev0KzgLkWSVKlX44osvaNy4MZAxDs/o6GiWLFmiBGSos3APGTJEVjrJYoTN3L59m6+++or//vsPwOAY2bVrV/r16/fOCrqizbCwMObNm8e+ffs0Ae/qNl1dXfn6668zxNGu0+nw8vKiT58++Pv7a5JrfPjhh/zyyy9yAzsXIuzv9evX9O7dmzt37iQQRAK4ubkxZMgQChQokKrzvHr1iu+++44DBw4orzk4OLBjxw4cHR01/fG+fftYuHChZgwQ89zvv/+ejh07pvZ2JTmAe/fusX379gQVdNXVzSpUqIC7uzsNGzYEUrcGedcmd3oECCV23n///Zf79+8zZMiQdGlTkjRqYa6bmxtXrlxh9uzZdO3aNVm24+HhkaCCLmhtpHv37nz77bcaexVzUjGHFYSFhSnJ3Hx9fbl69Sp37twhMDAQb29vzdxP3x+kH5ws0A9K1q/Cq1+tNz4+nnz58tGyZUsGDx5MuXLl0vANS3IKERERuLm5cfPmTU2FidjYWMzNzfn555+pU6dOuvdJvr6+7NixQ1NBV3+e0axZM/r166ckL5C+pexDYgFrAnUSFDFfc3R0pGvXrgwePBgLC4sMG+eySphrCGmzOQd/f3+DFXTVe5Fly5Zl+PDh6VJBNzPtVBzj4eHBmDFjePLkiawWlYWo52HqtczTp095/vw5r1+/Jjo6GhMTE+zt7alYsSJGRkaa6nmG5pJJ4ePjo6mgK+aNavuuVKkSw4YNy5AKuokJc0Wwr5h/xMfHa8Q/kqxF3TcIm8vqcU3dd/bt25cXL14Ab6qhTZo0KdUVdMW9nj59mi+++ILIyEiNwEPMTRs2bMh3330nxZAZyLsC0PXXvGKdbGpqqgRt161bV/lsVthrVFQU+/fvZ+HChYSGhgJv1jXt27enfv365M+f3+Bxnp6ePHjwgA0bNnDjxg2ioqIADPob7Ozs2LZtm1yzZxOio6OZPHkyhw4dUvpNsXf466+/UqpUKS5fvsz69eu5fPmyRkijFmur7Tk2NhZLS0uMjY3p27cvNWvWpEmTJso5s8q+t2/fznfffadcvzpxnFqUJsn+qIWD6gq6QIJ5orOzc7pU0M1sv7s47vbt2/Tt25dmzZqxaNGiNLUpyRp2797NlClTNAmEjY2N2bVrF1WqVOHGjRts2bKFI0eOaCroinmctbU1nTp1SnMFXfHbOHHiBEOHDgXeJDmOjo6WwtwcSk4X5qa3/0jY+I0bNxg/fjxeXl7Sf5RFvKtibnYX5qa3bcbFxXH+/HnWrl2rJHSVtimRSLIrUpwrkUhShZjQeHp60qtXLyU4dujQoYwdOzbJCU9aBLqJbTiK8xk6b1BQEK9fv+bevXvcvn2b58+fc/bsWaKioggODtZ8VkwKxaag2Hw3FLSmv4EqjhcLtJkzZypVUyXvL3FxcYwdO5a//vorQYBb9+7dmTx5MpaWlu90ngs7i4uLIzIykjVr1nDx4kWuXr2qfEbYr6iWqhZvFC1alLJlyzJ27FiKFy+OnZ1dRt2yJAsRdjJ//nzWr1+v2dT58MMP2blzZ4o2alavXs2qVauUCoDx8fEUKlSILVu2YGZmxuTJk7ly5YqS8Qq0TvN27drh6upK9erVNdcnkaSUiIgIDh06xLx585IU6Hbv3p3hw4dLgW4uQd1nHD9+nF27dnH27FmNDajnZ4YSqRgS64pN4hkzZmBjY5Po+dXzyh9//JEVK1YAhgW6xsbGFCpUiHHjxmWYOGzNmjUsXrxYuQZh99WrV2fChAnUrl07Q84rST4ZIdAV9hUSEsK4ceM4c+ZMon3ggAEDmDRpUobd39ixYzly5Ijmd2dra8uBAwdwcHDIsPNKsg5hf7/88gs//vgjQUFBBu152LBh9OzZkyJFigApm/MtWbKE1atXA283satXr87q1auxtbVN0N6XX37Jn3/+mWBtVbVqVVatWkXBggXT9TuQZC8yWqCbVcJcwbuS0UnSD7Uwt1+/fopvxd3dXckqnhySK9CdPn26wedpyD71XwsJCeH69ev4+flx8uRJgoKCePTokcanqRbrivtTC+L0K+YmJtpVB56PHDmSUaNGJfu7kORMxG/h8uXLfPnllxqRrLDjggULsmHDBipUqJDufp3UCHQlWc+7svUntg6HjBfoiva8vLxwdXXF19c3y4S5kpyHIYGuEGZB+gl0s0JALo69efMmR44cYeLEiWluU5Jy1N93eHg4d+/e5a+//uL69es8efJEEXGpcXR0xMHBgQ4dOlCpUiVq1aqlvJeScdmQQFd9PRkl0H2XMFddaapDhw7Mnz8/xfcmSR/0v3P1v0VlsKzEUN9paWnJ69evgTeJCydOnJhqgS68sdft27ezaNEioqKiND7YEiVK0KdPH1xcXNKcoEFimHeJI4RwMbG5ZlYLdMW5Tp8+zVdffZVgfM+XLx/58+enVatWFC1aFEdHR2JjY7l79y6+vr78+eef6HQ6Xr16pdyr6CPV9+no6MjatWulMDebsXXrVmbNmqVJbBofH89nn33GlClTKFSoEAC7du3i4sWL7Nu3TznWUCJ+/Uq5tra2VK1aFVdXVypUqECxYsWUz2b2fE4t0BW/UfUYLueXOYfMFOhmld9dHP/s2TOKFy+eLm1KMg9hN99//z0bNmxQ1hEAxYsXZ8uWLRQuXBggUwS66jH55MmTSpLVdu3aKVVFpTA355BUUhh938z7IH4UiP7/8uXL/P3333z11VdpblOSMnK6MBcyZlwXAt158+ZRunRpli1bluY2JRKJJCOQ4lyJRJJixCRcPQEUQbS9evXi22+/TXYbSQl01Z9JjkBXv32xqWdoAhYaGkpUVBRnzpzBx8eHS5cu8eTJE8LDwwkJCdF8Vh2QpM5cKFAHsIkNxDZt2ijiCcn7i7C9Bw8eMGDAAPz9/TWiofLly7Nlyxby58+fqs2hwMBAbt++zenTp7l+/TpBQUE8f/4cU1NTbG1tMTU15cMPP6RatWp8/PHHlC9fXjqB3gN0Oh2DBg3izJkzGnurXbs2W7duTXY7Z8+eZdGiRdy6dQt4KwT79NNPmTJlCoULF+a///5j2rRpXLt2TZNcQb3I/uyzz+jTp0+WZyqW5HxkBd33C3VfsWfPHhYtWkRQUJAixNKvPKauEi7QF/CK9uzt7Zk0aRLt27d/53Wo550i8YG6bdAGGgOMGzeObt26YW9vn6CN1Nw/wIYNG5Ssf+oANisrK8aMGUO/fv1S1L4k48gIga6wocDAQPr06cOTJ08SFQD179+fCRMmpOucT8xpv/32W3799Vfl92ZkZISNjQ2///67JhhEkvt48eIFM2bM4J9//tEEhaltr0ePHnTu3FlJyqJeh+tXBII3FSLXrVvHTz/9BKAJtlu8eDFt2rTRXIM41tvbmwEDBvD06VPNXLdQoUJs3LhRBqa9B7xLoGtiYkL58uVTLNAVfe2zZ8/o1atXpgtzJZmHsAe1MFf4Nbt06cKcOXNStG41JNA1lEQoMYFuYhiaQ4rrevjwIX5+fvz3339cunSJgIAArl27psyNwXB1XUCTiFB8TvxfJHpzcnLi119/xcLCItnXK8nZBAcHs2LFCn777TeioqI09hMbG0vdunWZPXs2JUqUyHSBromJCc7OzkyePBlnZ+d0O68kdSQnYK1kyZJ4enoaFBNAxgt0AwMDadWqFa9evcLCwoLo6GgpzJUkG32BLiQMTE+LQDcrKzvrtyFtP/PQHzt/+eUXLly4wJ9//qn0jeLZCwGkCChXJ+G1s7OjYcOG9OzZk/Lly6c4CW9mV9BNSpgr1m6GhLnSNrOWGzdu4OnpyYULF3jx4gUREREYGRlRrFgx7OzsaNasGfnz56dixYrKManxf6eEpPpOdeXlzp07M3v27DTZj7e3N+vWrWPXrl1ER0cDUKpUKXr16kXXrl3Jly9fet2WREVKqpaJ1w3NNbNaoPv06VP69OlDQEBAgv0psb7RT5Ylrl/EI+kno1X31ZUqVWLJkiVpqvonSV/U9tWvXz8uXLig7F3Gx8djY2PD7Nmz+eSTTzTHHT16lEOHDnH+/HklIabahyNQr4vj4uKwtbUlb968DB06FCcnJ6pVq6Z8NjPHz19++YUZM2YA0LlzZ+bOnZvp1yBJHzJDoJvYOG6oj8/otbq00ZxJz549Fd+3GCdr1arFtm3bNJ/LbIHu33//zYEDBxSBmBTm5hxyuvhR+o9yL0mJxoH33jZjY2N5/PgxFSpUSLc2JRKJJL2R4lyJRJJidDodYWFhdOzYEW9vb8zNzYmNjSU+Pp46deqwfv16TExM3jnxyYgKusk5n1rMIYiPjyciIoJnz55x+/Zt/Pz8OH36NKGhoUpAvUBMINUbl+qNH7mBmLPJiAVmaGgo06ZN46+//tJsxMTHx+Pm5sbkyZPTdI2CmJgYJYjN2toaY2PjBJvn0iZzP5GRkfTv35/r169rsp5/9NFHbNq0KckM16KfDAoK4vvvv1eytqr7vS1btlCzZk3Flu7cucOIESN48eKF8jl9Z1XTpk3p2bMnTZs2Va5H2qEkNRgS6Ao7kwLd3IN6s09kmxbob6IIkWCZMmUwNjbG0tKS8PBwAgICiIqKUoI04uPjFdFFSqswiPPpdDrmzp3L5s2bgYTZrNX9XuvWrWnVqhWfffZZiu9fPc998uQJe/bsUapKioA2Ebjm6urK1KlTNdcpyXpSKtDt27cvTk5OSbYp7MLb2xtXV1e8vb0TFei6uroyfvz4dK9ysnz5cpYvX66c18TEBBsbG3bu3KlknJZkP5LqG1Kyrvbw8GDEiBEa29PfYKlevToNGzZk+PDhxMXFGaxWEhsby7Fjxzh69Cj79+8HtGN406ZNmTFjhpLtWp/IyEjmz5/PL7/8kmBtNXToUMaOHSuTwbwHZFQFXS8vL7p3705wcHCWBQhJMgedTsfw4cM5fvy4RiBQvXp1Nm/enOJqS2mtoJtckrK5+/fv8/LlS06ePMmzZ8/w8PDg2bNnAEpQOaCs19VzabUwt2rVqmzduhULCwsZUPSecePGDcaNG8ezZ880diySArVq1YoxY8ZQuHDhTBHowpv+Nzo6mg8++IAdO3ZkecW2953kiCWmT59Oz549lcD0rBDo3rhxgwULFnDx4kXgTV9sZGQkx3JJsskoga4YV7NDULok8xDPLyIigps3b7Jt2zb++uuvREU4+smh1etu8e9ChQrRtm1bRo8eTZ48eVJ0PZkl0JXC3JxFWFgYt2/fZufOnfz777+8fPky0c9aWVlhZGREly5dqFSpEi4uLsp7GeGPSUlFnlGjRjFy5Mg0n/PmzZusW7eOP//8E0dHR/r16yeFuRlISqqWzZgxAzs7O7766isiIyOzlUBXp9OxevVqli5dqhHa6vfrarEloKmQK9bngLJe1+l0FChQgI8++ohx48ZJP3w2RDy3n3/+mR9++AF4+1zj4uIoV64cO3bsIF++fBpbDA0NxcfHhx9++IHHjx/z9OlTpU39StHqJMTifIULF6ZJkyZ07tyZ8uXLY21trRyfGTb/888/c+fOHRYtWqR8D3IMz5lkpEBXJsSUpJXg4GBcXFx48eKFpm/t2rUrs2fPThADfOPGDbZu3crhw4czRaArkH70nENKksJklfgxMf+R7DtzNznBNrNSmKs/v5XxIBKJJLsixbkSiSTVdOvWjVu3bmkyUxUrVozff/8dW1vbZLWR2QLdxM5vqK3IyEjMzMy4ceMGPj4+XLt2jZs3bxIUFISnp6dmMinuoWPHjkpVM7ngyXkIO/D39+fRo0fUqlUr3ZwnJ0+eZMiQIQAaR2aNGjVYuHAhjo6OqV40JPVbUAuK5ILk/SAyMpK+ffty69Yt5dnrdDry58/Pnj17KFKkiMHj1DYixDegXdxPnjwZNze3BBuJly5dws3NTZO5FdD8XatWLVxcXOjUqROQ8Zm0JbmXiIgIDh06xLx58zQVdCFhBT8p0M15qPsidbVY0V+IYARLS0scHBxwc3OjZMmSODs7Y2ZmhqmpKWFhYYSFhfH48WP++usv7t27p1QBd3JyYsuWLeTLly/V/dDixYtZs2YNgCb4Q9/ZWLhwYWrXrs2YMWOwt7cnb968Buee4m/9sXrnzp0cO3ZMmRuLADbxPbRv354FCxZo2pBkHzKygu7Dhw8ZPHgwPj4+SVboGzlyZKICx9TcyzfffMPOnTs16z8HBwf279+f4motkowjsXl/bGwsYWFhwJtASkPVEBM7Vrx+5coV+vfvT3R0tGb8FZvagqpVq1K2bFklkNfMzIzo6GgePXrE8ePHefToEYGBgcDbpAPx8fFYWloyZcoUunXrluQ9Xrp0CVdXVwBNJYJOnToxb968ZH5TkpzO/fv32b59O7t3704XgW5UVBRff/01hw4dUoIlRdC43OTOfYSFhdG7d2/u37+v8T+WL1+enTt3pkqEkFkCXTVJ2eGrV6/w8fHh2bNnXLx4kcDAQC5evEhERAShoaGaz1pYWBAVFYWzszNbtmyRwtz3mIMHDzJhwgSABAJde3t7XFxccHNzw97ePt3PrS/QFYEn1apVY/PmzRlSYVWSfFKarT8wMJCxY8dmmUD3ypUrrFu3jmPHjiljOsixXJJ8DAl01TaTWoHu06dP6d+/Pz4+PpkWvCbJOsTzCwgIYP369Zw8eZIHDx5ogsfF/o1631D8W184q06o4urqypgxYzRCnOTi4+PD+PHjuXLlSoYIdKUwN2fh6+vLjz/+yMWLF3n69GkC4bja7yL+VvuA6tatS5cuXahXrx5FihRJ1/3olAT+Tpw4kYEDBwLpE6R77tw59u/fT6VKlejSpYsU5mYQKRHmqp/xzp07mTt3brYT6D579ow//viD7du3axIcqufAiaGusKvec6pcuTKtW7ema9euFChQIEOvX5I2vL296dGjB/7+/oqvSfx/zJgxDBw40KCfJTo6mocPH7J//34OHDhASEiIMpYaqras74svXLgwhQsXZuTIkZQsWVIjNsussVWO4TmflAp0J0+eTLVq1ZL13F+8eEGLFi2Ii4uTayBJijl8+DDjxo1T/i1s8YcfftAkSVfbaWYIdCU5k5TMPbNK/CiQ/qP3i5xQMVecy8vLC1dXV3x9faVoXCKRSAwgxbkSiSTFiExUgwcP5vTp04qD2NjYGHt7e7Zv306JEiWS3V5WC3STc11qR/2rV6+4ceMGgYGB/PvvvwQGBnL79m2aNGkiNxBzMMKWPD096dy5M6amptSsWZMvv/wSBweHNAedxcfH8/XXX7N3717NpjrAd999R/fu3dPjNiQSYmNj6d+/P5cuXdJk17WwsGDRokU0a9YsQd+p7ud2797NlClTAK0w99NPP8Xd3T1B/y76uzVr1rBkyZIEfad6g6h06dJ89tlnjB071uC5JZLkYkigKyvo5i527NjB9OnTAa1wS6fTUa1aNVq3bk379u0NBiPoz8N8fX05f/48u3fvpnPnznTo0AEgxXM1dX+1cuVKli1bprynnrPqV/UtVaoU1atXp1OnTlSqVCnJOcXjx4+5e/cuu3bt4sKFCxq7VgfGt2vXjoULFwJSmJudyQiBrrpy/fDhw/H19U1UoNuuXTs+//xzKlasaHBdk1K+/PJL/vzzT01QXrly5fj1119TFQwqyVi8vLy4f/8+p0+f5v79+0pVcQB7e3scHBwoWrQorVq1wtHRkdKlSyvHGlrPitcuXbrEwIEDiY6O1vR9attS94dquxTrH5HART/xwqBBg3B3dweSFgrHxMQwdOhQzp07pwkKKVq0KLt27cLOzk72i+8J6S3QPXr0KLt27VJ8Uubm5krFUbmRmHsQz2/y5Mns2bNHsRvRX/322284OTmlasw0JNA1lEAjPQW6+iSW+AXezItjY2O5dOkSjx494s6dO9y6dYtXr15RvHhx9u3bJ4W57ylqe1m6dCmrVq0CtOscnU5HkSJF6NmzJz179syQ5Cy+vr78+uuv7N69G19fXykYzyakNCgoOjoac3NzgoOD+fLLLzNVoKu25cuXL7Nx40b+/vtvQCvokGO5JDmkt0BXLVS0srLi9evXMrAyFyOe3/Pnz5k2bRrXrl0jIiJC2TOBt/M2tcBGHzGvAxRhrrW1NTt27KB8+fKpvr6MEuhKYW7OwsvLi9GjR3Pv3j1lLa1OaiFsQi3OVYsHxev58+fH0dGRyZMnU7t2baX9tPgis6oij/qavb29sbOzS3GFaknySG0AumDXrl3Mnj072wl0Q0JCuHHjBkuWLOHu3bvK64lVShe/MVFtV10pvVWrVowcOZISJUpgaWmZodctSRvCnjdu3MjChQsTPOt69eqxfPlyrK2tE8wn1X3WpUuXuHPnDqtWrSIsLIyYmBjN+/rVldV7kVZWVhQvXpz27dvTokULypYtmykxGDLWI/eQURV0Q0NDadWqFcHBwUpfKAU8knchbO7HH39k9erVABof/tatW6lWrZrBY+CNQHfLli0cOXJECnQlQNJVSY2MjDJE/JiaY8XavHfv3ly7dk36j94DsqJirv78LbltBQQE0KFDB4KCgrCwsCA6OlrapkQikeghxbkSiSTFiEnTsmXLWLlypSbYDOCnn36iadOmKWozNQLdRYsW4eDgkGmCBEPnEdf98OFDypUrB8hJZU5ELczt06cP/v7+ShBuwYIFqVq1Kt27d6dx48YJqtylBCE0EvYhNtIrVqzIihUrUiRql0gMIfqkWbNmsXXr1gQZeZs0aaI4Lg1x8uRJpkyZgr+/v0YMV7hwYdzd3Wnbtm2ix16+fJmRI0cSEhKSQICu3swHaNCgAb1796ZSpUrS7iWpJiIigsOHDzN37lwp0M1lHDhwgMmTJ2uCucRmy6effsqXX35JiRIlMDc3T3Lepf9eYGAgVlZWaQqmUbf522+/sWXLFh49eqTJYi0wVEmgcuXKlC1bluLFi1O8eHFMTEwIDw/H29sbPz8/Tp06RXR0NJGRkUpwnrBnMVfu1asX3377LYAMUM8BZIRAV7R5/fp1Ro8erRHo6rfZpEkTevXqRcOGDZVgyNSsVW7fvk3fvn2JiIjQBI6oxZSSrCcyMhI/Pz82bdrE2bNnefz4sfJeYuOkiYkJDg4OfPLJJ7Ro0YIaNWok2r+K1y5fvsyYMWPw9/cH0NiEuqKPflCcvphXXQWiR48ezJgxQ3OepJg+fTo7duzQVBvKnz8/R44ckZWc3zPSQ6Cr/vfJkyfZvHkzp0+fVmxUbiTmThYtWsTatWs1Aebx8fFs376dmjVrprrdrKigmxRq+zYUMBkcHIyfnx9lypTB3Nxczi8lPH/+nB9++IEDBw4AaAQ7Op2OYsWK0bdvXzp16oSdnV26B+L6+vry888/8+jRI5YvX46lpaW0yywktQFrwnee1QLdS5cusWzZMj7++GOGDh2quUaJJDmkt0A3JCQENzc37t27h6mpKUZGRkqwnZxz5h7E8/P09GTQoEF4eXkBbyvfAsoc0djYmDJlylCsWDGcnJyIjo4mIiKCkJAQzp8/n8BPaGZmxrRp0+jevXuax2BDAl19+06JQFcKc3MWXl5e9O3blxcvXmjEtmLvWn9fD9Cst9WxHWJ8NzU1ZdSoUTRt2lTxb6bm+WaVMFcghWYZT1rEEfDWF5ldBbrwJmHN4sWLuXnzJpcvX1ZeVyctNDIy0vzexP+7du1KjRo16NatW4ZfpyR9uXDhAsOGDSMiIkIz7gGMGjWKkSNHGjxOv//y8vLijz/+4Pjx4xr70d+HFOhX0y1btizly5dn6NChODg4UKhQoUTPJZGoSW+Brto30Lt3bx4/foyVlRWRkZGAXANJkiY0NJRu3brh5eWliU1u2LAh69atM3iMrKArMURWVMxV2+Lvv/9OSEiIkjQwOfj5+eHm5sbjx4+VflmKH3MfWS3M9fDwoGTJkuTJkydZbZ49e5bFixdz69YtJbmQWNOAtE2JRCIBKc6VSCRpYNu2bcycOVOTyTEuLo7FixfTpk2bFLeXEwS6+uhPIuVmTc5DPEMvLy969epFQECAsgDXd2J36NCBGjVq0KtXL+W1lD7zAQMGcPbsWU1gpI2NDT/88AMNGjSQCxNJuvDXX38xevRoQNt/WlpasmjRIpo3b57gmPv377Nw4UJOnz6t9KlCDDd06FCl2m1SNi8c9GqxhUCI1ODN787MzAwbGxt27tyJo6Oj7DslqcJQBV1D1amkQDfncO3aNWbMmMHdu3cxNjZWgih0Oh2dOnVi5syZmJmZpajN9J6fqcfqM2fOsH//fv744w9ev36doMKtvgDTUP8oEO+pEyuIYCh4U+myS5cuTJgwAZAVc3MSGSHQFdy9e5fhw4fz4sULjf2p57Effvghbdu2pXfv3lhYWKTIdsS1b9myhYULFyobAfDmtzBr1iwZJJRN8Pf3Z+vWrZw4cQIPDw8lmEu/X4K3FW3VtgdvhBGVK1dm2rRpFClSxOB5RB949+5dFi5cyK1btwgNDdUId9TnAhIEbeoLhV1dXfnqq6+Ad/dt4vxr1qxh8eLFmnsxNzdn//79FC9ePA3fpCQnkt4C3X///Zf169dz9uxZxo0bx5AhQwC5kZhbEM9a+DX1+8SZM2fi4uKSpuedHSroJoX4DvT7XDm/zBqyoz/5zJkzLF++nCtXrgBo7DQ+Pp7ixYvTrVs3unfvjr29fbrfQ1BQEDY2NspvRgpzs4a0BgVlpUBXja+vL4ULFzZ4jRJJcggICGDixImcOXNG46tS+7rLli3LsGHDaNGiRaICXdGfhYaG0rt3bx4+fKi8J4PXcg/i+T148AA3NzcCAwMTVAgT8y1XV1eqVatGixYtMDIywtzcXNOWp6cnjx8/Zvv27dy6dYvAwEBq1KjBnDlz0i14PL0EulKYm7Pw9vZm8ODBPHr0yGAFO4BSpUphaWmJtbU14eHh+Pj4KGJx4XNS7z+K401NTWncuDFdunShZcuWQMqec1LCXPV5QPadOZXUVsxNrNqoIYGuOgFXVgh0hR3rdDr8/Pw4efIkV69e5dKlS0RERBAQEAC8nVeXKlWKggUL0qRJE2rWrKmpQC1tO+cxe/ZstmzZArxNzBEXF0elSpVYtGgR5cuXT/J4tVBb+MGvXbvGsWPHlM/ox8+pX1cLvgsWLEjJkiVxdXWlVq1ayroIsqcvQpI9SKlAd/LkyVSrVi3Rvkq0FxwcTN++fXnw4AEA7u7uDBo0SGlL9nUSfXx9fZk/fz5Hjx4lKipKKbLSt29fvv76a2W810cKdCVqsqJirtoG9+3bx6RJkwCYOnUqrq6u7zxe9JsBAQH07t0bT09P5T25Bso9pMe6KKWobXPPnj3MmzePnj17MmzYMKysrJLV9smTJ9m0aROnT5/WvC5tUyKRSN4gxbkSiSTVnDhxgqFDhyoLVzEh/Pzzzxk/fnyqJlk5UaAryfl4e3vTtm1bIiMjNRX6BPobkvXr16dTp07UrVtXI/RKyoEt7PP3339n7ty5REREaBw+NWrUYMOGDVhaWmbcjUreG3x9fRk7diw3btxQgoALFixIgwYNmDFjRoIAioiICNavX8/PP/+sZGEXYrjWrVuzZMkSIPHFs7DvJUuWsHr1ak2ghVqUq9PpMDMzIzo6GtAuzCUSNcLZGBMT804hpqygm3sICgpi5cqV7Ny5k+joaI2QoV27dixcuBDIHhvG6mvw9fXl2rVrzJw5UwmqEBvuoi8Vr6kFaqId8Tl94a56/vHxxx/TqlUrXFxcACmcyIlkZAXdR48eMXjwYLy9vTVrJrVAt2DBgtSrV4/p06djbW2domu+e/cuQ4YMwd/fXzNHqFevHhs3bkzN1yFJZ54/f86ECRPw8PAgMjJSU41H9C8iOE2s3dVJiIStiH6oePHiDB06lAYNGlCsWDHAcOXF58+f8/fff7Nv3z7u3r2rHG9mZqYE4Brq+8S5a9WqRZs2bejTp4/yenL7tkOHDuHu7p5ADHzgwAHKly+f5eOEJPNJb4Hu//73P2JiYmjVqhUgNxJzI5cvX2bQoEFER0dr5mKurq5MnTo1ze1nd4GuJGuJj4/Hx8dHGWezI7t27WLDhg2KeExfoFu4cGE6dOhA3759cXBwyJB1WnZY+72vPH36FFdXV0UQk9ps/dmlgq6hf0skKcHX15fJkycrAl39yn3JraArfJ4vX77ExcWFp0+fMnHiRKV6ipxz5mySSgYs/D758uWjdevWtGzZksaNGyvHqhOmqquYCv79919Onz5NwYIF031PJa0C3aSEucL3KYW52YegoCDc3d05ffp0ghgPGxsbPvnkE5o0aUKdOnXIkycP5ubmhIeH8/LlSx49esSePXs4f/68Rlwo/DxqUVjJkiXp27dvinw+WV0xV5LxqCuL9+rVK00B6O8S6ELWVtA11P7Lly+JiIhQ/ARizlu8eHFsbW3lnk8OR9jkuXPnmDx5Mr6+vhrftbGxMXPmzKFTp07Jsj+1jb969YqzZ8+yceNGvLy88Pf3T1DhXO2DF/+p9wCqV69O9erVcXNzw8bGhrx582ri8+RaSaImvSvoivaCgoJo164dvXr1YtSoUUobchyXJMbFixfZtGkTx48fV+arW7ZsSfYeOrwR6G7ZsoUjR45Ige57RlYLc/fu3askpxZ8/fXX9OvX753tiH4zMDAQFxcXvL29mTRpEgMGDEjzNUqynqyumKu2zRIlStChQwcGDx6cpEBXffyJEyfYtm0bJ0+eBJC+TYlEIlEhxbkSiSTVeHl50a1bN16+fKlx2n3yySf8+OOPqW43NQLdhQsXUrhwYSlUkKQKX19fvv32W0JCQrh27ZryunpDUe2Ujo+Px8bGBjs7O8aMGUOlSpUoV66cclxSzmsfHx/69euHl5eXxuFja2vLzJkzadGihVykSNKFxYsXs2bNGgCcnZ1p06YNPXr00Cykxf+vX7/O8OHDCQoK0gQN16hRg++//56SJUsm2b+Kdg4ePMiECRM0bRQrVoznz59jbGysqQA5ZcoU+vbtm2nfhyTnIGzN09OTpUuXMmjQICpXrpzkpqAhga6soJtzEH3IhQsX+OKLL3j58qXmGbZo0YIFCxaQJ0+ebDXX0x/vvby82LRpE5cvX9aI1AxVrTSEaEstqAQYMmQIn376KR9++CEgnZk5mYwQ6Ap78PPzY/jw4dy+fVt5Tx1EKShfvjzjx4/HycmJokWLairnqYM2BHfv3mXkyJF4e3trfpeFChVizJgxdO3aVQZuZDGenp4MGDCA58+fG7Qlgb4gV/2aoUondnZ2NGnShD59+uDs7AwYFujGxsYSHh7OypUruXv3LhcuXEjyem1tbbG2tmbo0KFUr16dihUrAilPOrB7926mTp2q9LXGxsbkzZuXgwcP4uDgkOx2JLmL9BboCuTYmzu5desWvXr1Uja7RZ/42WefsXTp0nQZ3wwJdMW5pED3/SUmJoa+fftSokQJhg0bpvEpZgfUtr9582Y2btyIt7c3gCYQU6fTUaBAAVq2bMnnn39O8eLFZX+ZSwgMDKRRo0bEx8djaWlJVFRUAv9KSoKCsksFXYkktajXKu3bt+fhw4eaxB6pFeiGhIRw9OhRunXrphwv7T3nIp7f8+fPGTRoEE+ePEkgzLW3t2fq1KnUrVuXggULao5LjMTWyknNVfXbTM681sfHhwkTJnD58mVFoKsvvKhYsSLDhw/XCHSlMDdnERMTw/bt21m1ahUhISGagPQCBQowZ84cqlWrhp2dneY4/ed1/PhxTp06xdatW4GESSnFuG5hYcGQIUMYOXKkwXbUyIq57w9eXl60adNGSc6blspQ2V2gqz6H+loTO6+059xBVFQUw4YN4+zZswmSIJQoUYLNmzcne59a31ZCQkLw9vZmwIABhIWFaWKZDH0e3v62RD9drlw5ypQpw8CBAylXrhy2traJnk/yfpNRFXSjoqKwsLBQjpX9nsQQahu7fPkymzZt4q+//qJixYps2LABe3v7d/ZXUqD7fpPVVUnV4kczMzN0Op3B9UxSiH7Tz8+P48eP07179zRfoyTrSco20+KDT4rEbFOcS/jkBwwYQJ48eZLVzvHjx1m1ahUtWrRgyJAhab5GiUQiyS1Ica5EIkk1z58/x8XFhaCgIM2mS7Vq1dixY0eaHHdSoCvJLMSiIDo6mpCQEHbs2MHx48fx8PAwWPVTHXARFxeHqakplStXpnnz5ri6umJpaalUitJfbIjjDx48yFdffaVxggO4uLgwc+bMTP8OJLkLYWdRUVF069aNokWL0r9/f+rUqWPQNkNDQ3Fzc8PDw0MjuilcuDCjRo2iY8eO76xcKti6dSuzZs1S7LpixYps3ryZ6dOnc+rUKcLCwgCYNm2aki1bIlEjxvBnz57Rq1cv/P39adq0KWPHjqVixYrvFOgeOnSIefPmyQq6OZCQkBAGDhzInTt3NH1RlSpVmDNnDk5OTll9iUki+tbXr18THh7Ozz//zMWLF7l586byGWGHYiNTv8qKWkjn4OBA9erV6d69uyIeArkxnhvICIGu6DsDAwP59ttvuXDhAi9fvlTa0xdd5s+fn8qVK9O9e3fq1q2Lvb19gjZv3bqlrMP8/f2V36WYAzdr1ozZs2cbPFaSeTx79ox+/fppxNPiOVtaWmJvb8+nn35K8eLF+eCDD3j9+jX+/v54eXnxxx9/4OfnR2hoKKC1FfGczc3NKVu2LOPGjVMq+iQlZIyMjOTKlSs8efKEixcv8vr1a0JCQjA1NaV8+fLY29vTsmVL7O3tKVKkiME23oX47Pz581m/fr1mPVWuXDn27NmDubl52r9cSYoxJN7OCtJDoCt5PwgNDaVnz554eXkpSSri4+MpWrQoBw4cwMrKKl38i1KgK1ETExND//79FeFLz5496d27d7YT6Kp9Rz/99BNbtmwhMDAQQBPortPpyJMnD1WrVmXq1KlUqFBBBmDkAiIiIhg/fjz//PMP8Ka/EklZIHVBQVKgK8mpqO3vwIEDuLu7J/iMeg8ppQJdgdzXzNmI9YS/vz9jxozh8uXLyrzP1NSUmJgYChUqxJo1a6hcuXK6nc8Qatu6f/++khArtQJd/Qq6hgS6Upibc4iMjGTw4MFcvnxZI8y1t7dn1apVVKtWLcnj9fuqgwcPsmDBAgIDAzUiB+GrEeN8//79leDfpPbPvby8cHV1xdfXV1bMzcWcO3dOmUuq90xSO9fMCQJdSc4gPWxB2OOVK1cYMWKEkggB3thh3rx5+eabb2jfvn2K+jD1+P7NN9+wc+dO5T3x+1Ffu9pnLhCJ28Xr5ubm1KtXj0aNGtG5c2fFDyZ/ExI16V1BV/8YOY5LkkJtL5cuXeKnn36iadOmuLq6pqoNKdB9f8hOVUnV57WysiIyMhIjIyNOnTpFgQIF3tmu9B/lLrKTbQr/jfDJ582bl0GDBjF8+PAk54Lq9ry8vChRokSar1EikUhyE1KcK5FIUk1sbCwDBgzg0qVLmk0WKysrDh8+TOHChdM04ZICXUlmoe9gfvLkCR4eHqxYsYLAwECCgoIUZ7UhgYOgZs2aVKtWjf79+1O4cOFE279//z7u7u7cu3dPySgtNulXrlypBL5LJKlF2Oj9+/cpVKiQ4tAx5Ow+cOAAM2fOJCIiQiPoaNq0KXPmzEmW6Ea0u3btWhYtWqQ4CypWrMj+/fsBOHToEOfPn6dMmTIMGDAgg+5ckpNJLDN6TEwMjRo1wt3dnQoVKqRYoGso+F0KdLMPoi/avXs38+fPJywsTBlvzczMGD58OG5ubkoG3ZyEr68vHh4eHD16lGvXrvHs2TMiIyOTPKZBgwY4OjrSr18/ChYsKIWPuZSMFOi+fPmS9evX8/fff/Pw4UMATV+oX5m5fPnyFC9enJIlS1KgQAGeP39OWFgYJ06cICYmhujo6ASiz7Jly7J69WrF0S7JGvz9/fnyyy+5cuVKgmeUP39+vvjiC2rVqpVocoPXr19z7tw59u/fz+HDh5XXReCaWiBhZWXF7NmzadOmjcG2siJgZ9q0afz2228YGxtjbGxMbGwsH3/8MStWrMDc3Fxu/mQi6uAFfT+MuopSZtrI/fv32bZtG7///rsU6EqSxMXFRZNMxdjYGDs7O44cOaKpHJJWpEBXAm+Euf369ePq1auYm5sTHR0NQO/evenTp0+2FuiuWLGC3bt3ayroqgW6AAULFuTHH3+kRo0aShuyb825hIeHM336dA4cOJBuQUFSoCvJabyrqgRohQ8praAryV2EhYWxYsUKfvnlF6KiooC3c71ChQqxbds2SpYsmaFjozpo193dnfv37zNp0iQaNGgApK9Ad8iQIbRr1w6Avn37aoS5wrcrhbnZD7GHJ5IKxMfHkydPHr755hs6deqUKvu8dOkSGzdu5Pz587x69cpg8jeAPn36MG3aNMCwLYaEhNCzZ0+ePHmChYWFMleWFXNzJ6dPn2bMmDG8evUKS0tLXr9+DaR+rikFupLUIOwmMjJSk3AiPWzBx8eHsWPHcu3aNY0fSKfTUbduXTZv3pzi6wT4+uuv+f3334GESZRKlixJcHAwr169Uu5B9MOJVdMV1KxZk0qVKjFo0CAKFSqUI/dkcyP6/WBWxUGmt0BXIkkJaht7+PAhhQoVwsbGJlVJf0EKdN8HslvFXCG6FH/nzZuX9evXvzMxkiT3kd2EueJcYq/KxMSE3bt3J6twRlLJ3CUSieR9x/TdH5FIJBLDmJqaki9fPk0gjth4i46OTrOjRWxqGxkZUatWLeX148ePK04nsbljZGTExYsXmTBhghToSlKMvlixdOnSlC5dmho1anDnzh127NjBhQsXiIyMVOxKCGrVmYWvXLnClStXOHjwIL169aJu3brUrl1baV8cW7FiRT799FPu3btHbGysElCu0+m4du0ajRs3lpuKkjQhbEd/waxeCIvP/PPPP0p1PbGBY2Njw8SJE7G3t0/WAjo+Pp64uDjOnDmjOU/lypUVW27bti2tW7eWdi0xSGLCXDHO//vvv8TFxeHu7p5kdYE8efLQtm1bgAQVdNXZt3/99VeMjIwYOnSoFOhmMaJPOHnypKZ6Y2xsLMWKFaNLly45bhNY9HuFCxemcOHCNGzYkPj4eLy8vLh//z7+/v6aoHZbW1ucnJywtbWlWrVq0nH5HiDWOR988AHz5s1TBLri2YukLbGxsezevRvgnQJdsTaysbFh2LBhVKlShV27dnHy5Ekla7oIQFLPXx89esSDBw8MtmlsbIyJiUkC0eePP/4ohblZzOvXr9m6dSt3795VbEY8o4IFC7Js2TJq1qypfF48d9G3iMq6TZs2pWnTpjg5ObFt2zb8/PyUPkzYowhQGjduHBEREXTr1i3B9ej3WSJxl9jMFr6C9Orfbty4wd9//638WwQ3NW/eHEtLyzS3L0k+wl6ePHmCu7s7tWvXplixYlSvXp3SpUsrVYwNPfeMXPNWrFiR3r17AyQQ6IrEW//99x8LFiwAoGHDhhoflCT3I/pNkchK9HvGxsa8evWKx48fU7169XSzCScnJ5YuXZpAoKteo4iqJ1KgmzuJjY2lb9++SmCu+tlv374dINsJdEV/aWxszMiRI8mXLx+//fYb//33nyaBoZhbBgQE0L9/fyZOnEijRo0oWbKkJimCJGeRN29epk+fjomJCXv37gXSHhQk1hb58+dX+kS1QFf0w/Hx8Xh7eytrISnQlQj0q4VkJMkJXlPbo7q/MzY25tGjR6xatQpACnRzOcJWzp07x/Hjx3n9+rXG71KgQAHWrl1LyZIlM3TfWv37mDBhAgcPHsTU1JR169YBbxICJmfNU7RoURYuXKgR6KrnBMbGxty/f5+ff/4ZY2Njtm3bplQKFtX4pDA3++Lh4aH4egRiPxwMr90TQ9hS7dq1sbe3Z9++fezatYvAwEBlvaP2cW7bto3Y2FhmzJhh0BZfvXpFzZo1CQkJISQkJIHoTApzcxcff/wxS5YsYcKECYSEhABpm2uq+6lu3bphZGTErFmzNAJdMdeMjY3l/PnzyrF169aVPqH3EGEvnp6eTJo0CVdXV9q2bZtutlC0aFF69uzJtWvXNPszxsbGXLhwgV9//ZUePXok+zpBK8wVY77oI6dNm0bv3r35448/+OOPP/jf//5HbGys0g+rxcFAonFO//zzD/Xq1aNevXp06tQpTd+BJG2IZ+/n58fdu3dxdnbGwsKCPHnyGPxcRo6Naj/WDz/8oBHoqn8zxsbG3Lhxgzlz5kiBriTdUNuY2m+akn5a3YazszN9+/YFSCDQNTExISwsTPGDSYFuziO7ih/FNVhaWrJx40aqVq0q49rfM7KjbRoZGWFqakp0dDRWVlZs2rQJJyenZJ1Tvw+W6yiJRCJ5i6ycK5FIUoWYhM2aNYutW7dqFqqxsbEsWbKE1q1bp4sDKDkVdNWfkRV0JemBvtP96NGjXL58ma1bt6LT6RTnozrTpNh0jo2NxczMDFNTU/r160ejRo2oXbs28Pa3ExQUxMiRI7l69apGLGFra8vOnTspVapUlty3JHuh7sPi4uIUB3d69W3379+nd+/ehIeHa0Tqn332GUuWLFFsOinEbyUkJAQXFxe8vLyU/njs2LEMHTo0zdcpyd0kJsyNjY1Fp9NpKgotXbqUzz777J1tGqqgKxxZ6r/btGnDN998g52dXYbdn+TdnD9/niFDhhAVFaUESpiamjJr1iw6duyYrYNtkrNJn5o+WwaCvB9kRAVd9bpIVG359ddfiYqKUioDqCvnis+q5xj6WS6F26hYsWKsWbMmW4lG3jfE83306BHjx49XxLlCBGtnZ8fy5cuVtce7UPeve/fuZfPmzXh4eGgEuqC1xalTp+Lq6poxN5gMYmJi2LBhAytWrCA6Olqx4bx587J8+XLq1auXZdf2vqHeSOzTpw8BAQGK6MbS0hIbGxtKlSpFrVq1KFy4MPXq1cPS0jJBYhR9e0vP8e/evXts375dVtCVJMry5ctZvny5EsQmmDdvXoYEIRqqoCvmvrKCbu7Gw8ODvn37Eh4eDmBwjM0JFXR3797Nzp07uX79OoDBStCmpqZ88skntG3blpYtW2bZdUvSh7CwMCZOnEjVqlUZPnw4kHZBjKygK0kNjx8/ZtOmTbi5uWV4cGxSwWuizzM1NVXml4Z8+CAr6L4PiD4pNjaWYcOGcerUKY3QxdbWlvnz59OkSZMM7b/Uwtzx48dz6NAhjYiidu3aDBkyJN0r6FpZWREZGSkr5uYQvL29adu2LZGRkZp97dGjRzNixIg0tx8QEMA///zDihUrePHihcF5IrxZ73z33XdAQrt4+vQp27ZtY8+ePbx69Up5XQpzcy8nT55kyJAhmv3ktDxj/bWLvkAXZAVdiVaY26NHD4KDg6lQoQKjR4/mk08+AdJmC+LYoKAgxo0bx/nz5zWJU3U6HZ06dWLevHnJuk6AKVOmKMmL9IW56j5ScPToUa5du8bWrVuJjo5OkGBL7PuIOCWdToeZmZmyH9+qVSt++OGHVN2/JO2o/e5dunQhPDycAgUKYG9vT4MGDXBwcODjjz8mf/785M+fX0mQqUadlCC9kBV0JTkdWUE3d2Noz1ItfhTjHcDEiRMZOHCg5rjUkBL/kaWlJVu2bKFq1apyTfOeIfyGyRHmTpo0iQEDBgAZa5ti7idsc/PmzTg7O0vblEgkknRAVs6VSCSpQkzCKleurHHeiYWFl5eX5nNpQVbQlWQF+tVuW7ZsScuWLWnRogWnTp1i//79StU7EUgpsgALZ01MTAyrV6/mwIEDODs7M2rUKBwcHMiXLx958+alevXqXL16VQngMDU1JTQ0lN9//51Ro0YpWYEl7w/6i1zx/GNiYnj16hV58uTB0tJScRgJUrtB5OvrS1hYmNKGwMnJKdn9tzjvhg0b8PLyUuxWp9NRoUKFNF2fJPfzLmGuyNIGbzYXkyPMhaQr6KqD34WQSZK1PHnyhJiYGE1QkIWFBWXLlgXSZz6ZVtT92LNnz/D29uaDDz5IVmCl/jxUBKiJ1w05OGWf+X6QERV0he0YGRmRL18+vvrqK2rVqsWJEyfYs2ePwQo/wibF3+rfok6no0CBAjg7OzN58mRKliyZId+FJHmIZ6OumisCe8zMzBg4cCDVq1dPdnvqjOqdOnUib968rFixgnv37imBOvA26CI2NpZZs2YRGxurZGxNLfrzw3et29Vi9s2bNxMVFaVJ1tWoUSMpzM1EDGX4NTc3V3xCcXFx+Pn54efnx8WLFwHInz8/JiYm1KhRA0dHRypXrkzVqlWxs7OjQIECCRIDpEe1xUqVKr2zgu6DBw9kBd33mPz58wNaoWR8fDx+fn4Zcr7EKuiqx3xZQTd34uTkxE8//cTUqVN5/PgxQIL5Xk6ooNu1a1cKFCjA3r17+eOPPzTJC9X38ueff3LhwgU8PDwYOHAglpaWGV7JRZIxWFtbs3TpUszMzID0EcTICrqSlOLp6Unv3r0JDg4mMjKSkSNHZtjaNKXBa0uXLmX79u2cOHECY2Njxb5lBd33A9EXrVmzRhHmCrGupaUlbm5uSvKszBTmiv5UXMulS5eUz6e1gq5ayBMVFaWs26QwN/sTFhamCBKFACEuLk5JFp3W51SwYEHatm2Lvb09c+bM4fnz50rfqfYr7dy5EzMzM6ZNm6bspwt/UKlSpejduzfGxsbs2LGD169fp1vgvCR70rhxY/73v/9RrFgxIO3PWH/tAsgKuhIN+j7N4OBgTE1NefjwIUuWLMHIyIiWLVumyRbEMfb29lStWpVz584pY6dod+/evbRu3ZomTZokeZ2QdMVctTBXnRBBxDa1bduWP/74g2PHjinJYdWxTeJc6iQKnTt3Zu7cuSm+b0n6oC8uCw8Px8rKisDAQAIDA5XnuHz5ciwsLKhSpQply5aldOnS1K5dm7x581KiRAnF3gBNXGVa+lhZQVeS0zFUQdfIyIjDhw/LCrq5AGNjY7y9venRowchISFYWFgoa1Y1gwcPVtYXaYkpT25VUrX4UQpz309MTEx4/Pgxbm5uijBXzLvg7bwuoyvmCn+mkZGRxrcpReMSiUSSvkhxrkQiSRP58uXTCLrEJsqzZ8+A9NskkQJdSVahbze1a9emdu3auLm5sWnTJq5fv87Zs2c1FRnV2a9iY2N58eIF3t7e3L59mxo1atCrVy9q1KjB559/zv/+9z88PT2V3w7A2bNnGTFiBKampnID6D1B7agGuHnzJo8fP+bEiRM8f/6c4OBgAgICsLa2pkCBAtja2tKsWTOKFy9O8+bNNSKe5PR1om++e/cugGYzXqfTYWtrC7wRBYvgu6S4e/euEnQvEjWULl2aOnXqAFJkJjFMUsJc0GaH099cTI6dC4GukZER8+bNIywsDHNzc0WUq85KLPvarCE+Pp6oqCgOHTqkydoMUL9+fapWrZrFV4gm4AzgxIkTbN26FT8/P0aMGMFnn32W4vmuqKAhkA7OrMPQs8tsp3NGCHQFor/85JNPaNy4MZ06dWLz5s3cu3ePp0+fJrgO0Ap1AT766CPatWtH8+bNKVCgQDreuSS1eHt7K9n21UFlefPm5aOPPlICdJKLOmjtk08+ISwsjEWLFhEQEKBZo6htcd68eZiamioVdFM6jqo/f+fOHapUqaL0i/oCcbXg/L///mPs2LEEBARoguNLly5Nz549ARmomRmoq0v06dNH2UgUCVUAZeNZXZnk5cuXxMXFcfToUeU1CwsLbGxsqFOnDoUKFaJp06bY29tTvHhx8ubNm+BZpibjf6VKlejTpw9GRkbs3r07gUA3Li6O//77Twp03zPE83VycsLU1BQjIyMlkY9Op+PGjRtAxvQpUqD7/qH2ac+cOZOpU6fy5MkTg/O97CzQFdfbtGlTypUrR5kyZVi1ahWxsbGKnQpBWnx8PIGBgSxfvpzr168rlXSlKC1nInyD6Vl1Rwp0JclFLZwwMTFh3759xMXFMXr06HQX6CYVvCbmCYaqSlSqVInJkydz9uxZKdB9D3n48CEnTpxQ1j/ChkqXLk3Tpk0z9HknJswV8wu1WDi9BLqAxm8k+mwpzM3++Pr6EhUVpYzrIiBXiHPTY/2bJ08emjZtiq2tLV9//TWenp4G1zvbtm3D1NSUyZMnJ6hALnw8YWFhVKxYkX79+gHSlnIz6SXMFUiBriQxDCUbNDMzIy4ujvj4eJ48ecLChQuJjY2lVatWabIBYUNDhw7l5MmT3Lt3T1O1OTY2lv3791OjRg3y5cunOVdqhLnqhMDqa6hcuTKVKlVi6NChrF+/nps3b3LixAnNXrw4XozhQpgr+93MR+13V9vo69evAe1+ckxMDJGRkZw5c4YzZ84Ab5JrieSYhQoVon79+pQuXZoiRYpgb29v0KZT+pylQFeS09EX6Ip9TinQzR2cO3cOU1NTjI2NiYqK0uxRiv//+++/dOnShbJly6Z6rH+XMFf8LauSSgAiIyMZNGgQfn5+WFlZKeO62v4qV65My5YtlX9npm1KYa5EIpGkL0Y6/dJrEolEkgKePn1K9+7diYiIUCZwOp2OKlWq8OuvvyqZdNMLMYHU6XRcvnyZdevWcfz4cQCNoEN8tk6dOlKg+56jtpnEnNop3WBRC8KjoqL4/fff+eeffzh37pzyOxAOR1FxSmyGw5tFzoABA2jWrBleXl7MmTOH0NBQ5Xri4+P58ssvGT58eHp9DZJsjLDF8PBwHj58yC+//MLx48cJDg5WPqPeSFT3c/AmeLx27dr06NFDqfrzLoTNL1y4kHXr1imb3+K30rdvX6ZMmZLse/j+++/ZsGED8DbTVs+ePZk6daoShCTJPIStpFfFsYwgORVzE9tcTOm9REREcPjwYebPn8/Lly8BZIBQNiI6OpquXbsqmX5FP9SjRw9mzJiRpUEQatu4desWx44dY+XKlcr7ajuS5DzE8w0KCsLHx4cqVaoYrNqYWWsIdVVQIdCFt453debyrl27Jlugq99+eHg4YWFh7N+/n2fPnnHx4kUiIiKU6hl2dnaYm5vTrFkzypYti4uLS/rfrCRNnDlzRsnoqxaxdu3aldmzZ6e6XXWft3r1apYsWQK8FU6I86ltcebMmYqNpKa/Pnr0KF988QXNmzdn3LhxFClSBGtr6wSfCwgI4NatW0yfPp0XL15oEiKZmJjQvXt3xo0bZ/BYScbg5+dH48aNgTcCW7UwV6BvE+rAHP2KDAKRoKpSpUoUL16c8uXLU6dOHfLly8eHH35osP3k9tP3799n+/btCQS66vlyhQoVcHd3p2HDhgbvQZL78PHxoVWrVkRHR2v8R/Xq1WPjxo0Zem4PD48EAl3Qjvndu3eXAt1cyKVLlxSBLhie7/Xu3TvbCXQhYb+4d+9e5s6dS3h4uCaADbT3Y2trS/ny5Zk0aRLFixfH3t4+S65fkv0Q43hwcHACgS6gjNMAjo6OdO3aVQp03yNEVQk/Pz/MzMzQ6XRKv9KuXbt0FeimtGKuCKwUgen+/v5MnDhREegK2xVtxsfHU7ZsWYYPHy4FurmM33//na+//hpAs3/z3Xff0b179ww7b3KEueqkg0IMVLt2bYYMGUKDBg2A5K15fHx8NAJdIcIV55DC3JzBv//+y+eff55gn3HlypU0b9483c9348YN3N3dNesd/b2foUOHMnbsWCChvbx8+RIbGxuD70kkyUFtN7t27WL27NkagS6g6R8/+ugjhg4dSt26dQHpE8ptJCbMFfvSan9lixYt+P7777G0tEyzQDc6OpqFCxeyZcsWTSU9nU6Hg4MDGzdupGzZspo4EGG3U6ZMUZIUvUuYm1QfqX7/9evXHD16lIMHD3L16lVCQ0OV6+nYsSPff/99stqUZBxeXl507tyZsLAwTVJz/bg3fV+7+L/ansXnihUrhpOTE46OjjRs2JB8+fJRuXJlrKysEpxfJBl6l+2r56Jqga76WuGNLTk7O0uBriTbobbTGzdusHXr1gQCXZHc1dramk6dOkmBbg5hx44dbN26lQcPHgBo+kQx9ytfvjxLly6lXLlyKR7zklOVVApzJfocPnyYb775hrCwsARzQkHbtm1xc3PD2dkZSFty9JT4NqVtSiQSSfoixbkSiSRNvHz5klatWhEUFKS8ZmRkRLly5dizZ0+yKi6mFCnQlSQH/YVDeHg4ISEhGBkZ8fLlS4yNjSlWrBjx8fHky5dPc2xyFjf6nwkKCuK///5j1apVeHp64u3trXHiGwpMK1WqFIULF8bX1xdPT0/g7SZQw4YNWbRokVLBVJI7EX2Sv78/a9as4ezZszx48EDp49QBumrUFUkEjo6OTJgwgerVq+Po6Ai825a3bt3KrFmzEjjoP/74YxYtWoSdnd0729i4caNSfVQs4gHWr1+vBHhIMg/R9z1//pw9e/bQsWNHSpQoobyfHTaTM1OYK4iIiODIkSNMmTKFTz/9lGXLlqW5TUna0el03Lp1iz59+mg2wOPi4pgxYwY9evTIFja7fPlyTp8+zdWrVwEwNzcnJiYGnU7H/Pnz6dChQ5ZenyTliN/+kydP6N+/PwEBAVSrVg07Ozvq1q1L+fLlKVmyJCVKlDBog/pJENKLjBboGkKs44KDg4mPj6dgwYLodDqNYCI7/A4lb+1u1apVLF26VLPJp9PpGDlyJKNGjUrT81KPi2PHjuXIkSOANpM0aG1x3rx5dOrUCUiZrZw9e5YxY8YQGhoKvFkblS5dmu7du1OoUCHKli2Lr68vN2/e5OjRo1y8eJHQ0FBlfiyu4YMPPmDZsmVKlQ1J5tGjRw+uX7+uBGLrZ58W6G8u6qPuT0XVEvUxZmZmGBkZUaVKFWxsbGjQoAFlypShXLlyFC9e3KCfR91Pi2sAKdCVaImLiyM0NJR27doRFBSkCSArWbIk27Zto0CBAhn6/KVA9/0lJwt09bl06RL79+/n2LFjmur26kBM4XcS8+127drx6aefKm3Itfn7jRToSgwRERFB9+7defDgAZaWlkRFRQHafjK9BLrvCqxU/21pacmWLVuoWrVqgnloQEAAEydO5MyZM4kGppctW5Zhw4bRokULKdDNBQQFBTFkyBBu3bqlCXb86KOPWLFiBdbW1hmynkhKmKuf3FWQEQJd4cuVwtycgUj2JpKwmZqaEh8fz9y5c+nYsWOGPLO7d+8yZsyYRNc7xsbGTJo0CTc3N8CwLco1ec5FbVNizMzs5ykFuhJIXJir9q3DWx9miRIl2LVrV7rF6dy9excXFxel31PvhX766acsXLgQc3PzDBHmCvRtOSQkBG9vb1auXMm1a9eoWbOm3DvPBsTExLBkyRLWr18PJIx/BMMJMUG7h6P2MenbuTo5pq2tLdWrV6dKlSoUL16cypUrv9PXrj63+rNSoCvJiUiBbu5CPX5t27aNX375RSPQ1Z/7pUag+y7xo/hbih8lhjh69CgTJkzg9evXCSrZir/btm3LgAEDlITVyV2PvKtirhSNSyQSSeYhxbkSiSTVxMXFERcXp1Q7UzsS8+TJw9atW9McLJ4YUqArMYT+gsTPz4/z589z+vRpHjx4wOPHjzEyMiIsLAyAYsWKYWlpScOGDalYsSItW7Ykb968moDvlJ4zNDSUZ8+esWXLFs6fP4+Pjw9Ags1qtajSUAZrgB9//JFPPvkkXb4bSfZD2NizZ88YP348d+/eJTo6WpPhUqCfBVP/dbGRbWtrS6NGjXBxceGjjz4Ckt5AOXDgAO7u7pp+U7Q/adIkBgwYoHxWbb+i3U2bNikZVNXBSimtvCtJH9Sbiy4uLrx8+RJbW1s6depEnTp1aNmypfLZrBoLkxLmgjbALr2EuYLw8HDu3LlDnTp10q1NSdo5ffo0gwYNUsZSMQ4uWLCA9u3bZ/HVvbHZzz//nDNnzgBvnZfCdvr168dXX30lgzRyEOq+sk+fPgQEBGjmYGJstbW1pVy5chQtWpTGjRtjb2/PBx98QN68ebGwsEjQpnrDOy1ktkBX2m7OY9y4cRw+fFixVTFvXL58uWasTy3CJv7++28mT55MZGSkweBetS0uW7ZMEdgkx6Zu3brFjBkzuHnzphIMqn+O/PnzExkZyevXr5XX9IW5Dg4ObNq0SW6EZzLqeeTgwYM5depUgupJQII1rn4FMf3PCsQxavtW/y2wtbWldOnSFCtWjI8//hg7OzuqV6+OlZUVefLk0VxzTEyMkjzOw8ODHTt2SIGuRGHAgAGcPXtWs962tLTkt99+o0KFChl+fkMCXf2kRVKgmzvJ6QJddd8YFBTE/fv3mT17tjJ/BZRxXu27EnTs2BFnZ2dcXFwwNzfXtCn73fcPKdCV6BMdHc3hw4dZsmQJvr6+iSaxSKtAN72rSvj7+zNp0iRFoKs/75UC3dzFgwcPGDBgAP7+/sq+TlxcHK6urkydOjVDzvmuirmGqueqxRTpKdAV7Ulhbs7A19eXDh06EBERofi34+LiaNasGUuXLlXmY+nNrVu3GD9+fAKBrrAfR0dHxo4dmy32AiRpI7HffnR0NNHR0VhbWyfYm8yMeb8U6L7fJFUxV6C/Di1atCi7du3SJDBNLaLNefPmsXnzZuU1QZkyZVi4cCFVqlRRXvv666/5/fffgfQR5hq6HkF0dDReXl6Kz0GO4VmPh4cHv/32G7///juRkZHJEujqv66fsFL0caL/FXNGdbvm5uaULVuWAgUK0LRpUwoVKoSzszN2dnYJfO3q9qOjo5U5RHIEupMnT6ZatWrSziTZBinQzV1kpEA3qcRuohCBrEoqeRf6Al2xPlbHkqdUoCsr5kokEkn2QopzJRJJmpk0aRL79u3TOG+MjIxYv3499evXz7DzJkegq/6MFOjmbtQLhv/++49r166xfPlygoODiY6OVj6nDgoDrfO7Zs2afPDBB4wYMYL8+fOn+Br0F0OXLl3i6tWrrFu3jujoaCIjI5WFj/7vRX09IgCzXr16LFq0iAIFCqT8C5Fka9QCRTc3N6XSslr8qg6e0EdktlY748VC3dTUlKJFizJmzBjatm0LJL5Q9/X1pVevXoqIXD8AeOrUqXTq1Alra2vNcVeuXOGvv/5i48aNgHZBX6FCBSZOnEijRo3S58uSJAtDYjMrKytlgzk+Pp62bdtSs2ZNunTpgpWVVaZfY1YKc/WRTqbsw9mzZxkwYIAmY59Op2Pq1Km4urpmaeCDOPe9e/cYOnQoL168SLCRaWNjw65du9JcpUWSOYjfvqenJ7169SIwMDBBlXrRF4mxVk2pUqXIly8fzs7OVK5cGUdHR2rUqIGJiUkCwW5aqgFkRQVdSc5hyJAhnDx5Uhnfxf9XrVpFs2bN0u084eHh9OzZk//++y9BJnZ9WyxQoAALFy5M1vrf29ub6dOnc+HCBV6/fq2Zz6rX8eL3o67mol4zOTo6snbt2mwpVnofUAeEDxo0iNOnT2sSUhlKLCTmpmrU62O1uFdtZ+q/1dV1DfXTJUuWxNLSkho1alCxYkXKlClDtWrVMDExwdLSUvncw4cP2bhxI/v27SM6OjpRge6ECROUdY0Mxsy9iMAxYXumpqaYmJjw888/U7t27Uy5BllB9/0lpwt09QkLC2Pjxo1cuXJFSXAEb/t7dT8uqFy5Mi1atKB58+aagGSQfe/7hhToSvSJiorif//7H7Nnz9as3/V92KkV6GZUxRP9Crpq0SRIgW5uQNjOokWLWLt2rWZvx8rKil9//ZVy5cql+ziWHGGuGGednJyIi4vj4cOHmmpn6n2ktAp0xe9QCnNzBmFhYbRu3VoRkwNK5byNGzeSP3/+DHt+165dw93dHS8vL00fK2yuVq1ajB8/nho1aqT7uSWZz/Pnz3nw4AGnTp3i0aNHhIaGEhUVReHChbG1teXTTz/FwcFB87wzuu+QAt33k6Qq5uqjfr4mJiZs376dqlWrpttzP3LkCGPHjlXaV/u6Bw4cyMSJE4GMFebqo9+GtPPsw4MHD9i6dSv79u3TCHQTq5or/ORq3wug8bUDCfzu4tjEfO0ODg7Y2tpSsWJFqlatSpEiRahTpw4WFhYJ4ocEo0eP5q+//pICXUmOIqUC3c6dO9O7d28p0M2mZIRA911VSYEMFz+q/QGSnI2hCrpGRkaaPaHkCnSzQ8Vc6QeSSCQSLVKcK5FIUo06y9/GjRuVoGARODt79mw6d+6cKdcgBbrvN+pJ/p9//skvv/zC9evXExXDCsRGtH5QWLFixRg2bBj16tWjRIkSymeT64zWX3Tcv3+fK1eusGPHDjw8PJTX9TcgBepN8l9++QVnZ+cUfiOS7Iywj+fPn9O3b1+8vb0TVAET9lq/fn1sbW0pUqQIFhYWBAQEcOfOHQICAvD39wdI4NhW2/n06dPp2bOn5n01YWFhDB8+nIsXLya64G/WrBmlS5emWrVqhIeHc+bMGe7evcujR4+AN3YsAul1Oh1ffvklw4cPz/DvUfIWQ2Iz4fhTB+cIypcvT4cOHahfvz5Vq1ZN0E5GoK4U3bt3b/z8/LJMmCvJXhw+fJhx48YlEMXoV+/OSsLCwvj+++/57bffNA52U1NTLC0tWbRoEU2aNJEb1zmEJ0+e0LNnT0JCQpS+0lAyDPEsRT+qHp8FJiYmFC1aFGtra5o0aULhwoWpU6cORYsWxdzcPNGKE8np26RAV6KPsMHu3btz69YtjahVp9Px7bff0qtXr3Tpi8S4vWTJElavXq30ffpBHmqqVavG119//c61S1xcHFOnTmXv3r3K787QukgdKKKunmplZUWlSpWYN28epUuXTtN9StKGeiPYUAVdeNtnFSpUiC+++AI/Pz/8/Py4fv06Pj4+REVFERUVpbSpft7qgCB9u1C3rU5upN9PGxsb4+DggJ2dHY0aNaJAgQI0aNCAokWL8vTpUw4dOsS2bduUhF76lX6lQDd3I57z2rVrWbRoUYK+6KuvvqJ///6Zdj2ygu77S24R6Ir5Q1xcHFFRUezcuZM//viD27dvK8HPop8HNIFtwhfVunVrKlasSIcOHciXL1+C6izSR5B2svueiBToSvTJKIFuRgdWGhLoygq6uY8pU6awe/dupZ/S6XQULFiQPXv2UKhQoXQ9V1LCXGFbYq+zXr16bNy4kYsXL/Ldd98lEOimtYLuixcvGD9+PJcvX6Zjx458//33gBynszPi2UydOpVdu3YlWPsMHz6cL7/8MkOv4dSpU3zzzTd4e3sn2AswMTGhX79+DB8+HBsbmwy9Dkn6oo7DiYqK4qeffuL06dPcvHkz0WPMzMwwMjKiW7duNGjQgGbNmmmSUmcUyRHoqhMYSIFuzuZdwlxhc+o4C7U9b926Nd0Tto0dO5YjR44Ab9fGcXFxFCpUiJUrV/Lrr7+ya9cuIOOFuZKs5119SmICXXEsvLGjYsWKUb58ea5evaoUjFAjjtMX3yZWZVe9J5qYYNfCwoKPP/4YR0dHatWqRZkyZTAxMcHW1hZ4KzJX7/HoC3TFXpK0ZUl2ISUC3Xz58tG8eXMmTJiQ7us+SfqQngLdpCrminlFZglzdTod69evp3fv3llSkEOSfhiqoKvv63yXQPddtqkvzN2yZQtVq1bNMNG4n58fDg4O6dKuRCKR5GSkOFcieU9416QqNc5uMcH7+++/GTVqVILgdldXV6ZOnZrWS0/2dSQl0FV/Vgp0cxf6C+rFixcTERGhVFtSV2VQZwbUD9oVr4vANxsbGz766CP69u2bbpsur1+/ZufOnVy9epUjR45oqrIIp6Z6A71UqVIcOHAgUWGHJOchbMjf359Ro0Zx7dq1BMJcGxsb2rdvT6NGjWjatGmCNqKiorh16xZ//vknW7duBVAc6uqqY2KxPmXKFPr27ZvoNV26dIkBAwYQExOj+c2o29BHbbvinPHx8XTr1o1Zs2Yp/5bO9MzD09OTHj16EBwcrIhe9auMqfs4UQ2qd+/eODs707p1a6WtjHp2Pj4+tG3bloiICM01qp1LcnPx/eOPP/5gzJgxmk2/uLg4XFxcmDlzZraZq505c4aBAwcCJHB4qoPQJNmbqKgopk6dyoEDBxS7UmeRVpOYWBfe2ql+hnOAPHnyYGtrS9myZalatSpFixalbt26WFlZUaRIEU2b76quKwW6EjXCHoYNG8bx48c1AUTx8fGMHj2aESNGpOs5f/vtN6ZNm6b8Xpo1a8b58+d59eqVJsmGTqfDwsKCNm3aMHr0aIoWLZrkPQBs3ryZ48ePG6yqp05WpA4CcXJyonHjxvTu3TvB70mSNSQl0NUPamvUqBETJ06kQoUKREREEBgYyNOnT7l27Rp+fn6cP3+e8PBwAgICNOdQi8PV1XVB21cb6qfV80xBnjx5yJcvH1WqVCEmJgYPDw/NOaVAN3uS2JwwPeaKwq+pXjvFx8czdOhQpapJZiEr6L6/5BaBrj7Pnj3j0aNH/Pzzz/j4+ODp6ZkgwSegjPlizChdujT29vb06NFDmU9LUo+/vz/379/n448/Vl7LzuOZFOhK9ElvgW5mVZWQAt3ci06nIyAgAFdXV54+fapJPNG4cWPWrFmTYcGO76qYW69ePdavX6+c+8SJEyxcuDDdK+g+e/aM/fv3K34I2f/mDH799Ve+/fZbQJscy8nJiRkzZmRosujo6GiOHj3KvHnz8PPzSyByMDU1Zf78+bRp00baUw5BPKdXr15x7Ngx9uzZw7lz5xLEP6h9OOoEawBFixalZs2azJ49G0tLy0y7ZpAVdHMziQlzDe1L58uXj1evXmnsNjY2luXLl9OyZct0vZ6DBw/y7bffEhUVpUmQYGZmRqlSpRTRkBTm5n7EcwwICODly5eULVvW4OeSqqALb2ylevXquLq60qhRIx49esTp06cJCQnh3LlzvHz5Em9vb02b6r5ZvbZ+156oeh6pjrszNTUlX758lChRgg8++ICKFStSq1YtJk6cyL179zT7A+o5sxToSrIj7xLoivdiY2OVWBZJ9iU9BLpJ+Y+EXyozhbl9+/bl0qVLdO/ena+//jpT5s+SjMOQQBe0e0KJCXSzUzVnkfDL1NSUSZMmUaJECblukkgk7zVSnCuRvAeISdXjx4/59ddfKVy4MNWrV8fKyooKFSoYDGITDpXkBLjduHGD7t27A9ogxk6dOjFv3rx0vx9DSIHu+4l6wbB+/Xrmz58PaDNNGsrmJz6jFumq7US9EVioUCEmT57Mp59+CqR+00Xfzg4fPsy///7LsWPHCA0NVc5rampKdHQ0VatWZevWrVhYWEgbzWVERESwZMkSfv31V0121tjYWOzt7Zk1axa1atVSMkuq+2N9Wzhy5Aj79u3jzJkzREdHazK0qxfcX3zxBV988UWCa9HpdMTExLBy5UrWrVunET+oM1iqM1oaCobX6XS0bduWRYsWAdm/CkduQqfTERsbyxdffMGJEyewsrIiMjIyQRVI/X5L7cwxMTGhXr16tG7dmoYNG2rELunlmNHpdMqmY0REhCZLq9xcfL+5ffs2vXr1Ij4+XhOMXbFiRXbt2pVtElTEx8czZswY/v77b01G/7i4OJo2bcpPP/2U1ZcoSQY6nY5z586xdetW/ve//wEkOVc0dLx+Jmkxn1Tbhb4QzN7eHiMjI2rVqkXRokWpUaMGlStXxtbWFjs7O4PXKvpB8X8p0JUI9LOOCxtu3LgxS5cuxcLCIs1jqLD1PXv2MHnyZOVcX3/9NR9//DGdOnUiJiZGE8gRHx+PnZ0d7u7udO3aNdF1k3qeGBQUxLFjx/j99995+PChsi4SiPNWqVKFatWq4ebmRpEiReRmYzbjXQJdtfigRo0aTJ8+nfLlyydYLwQHB6PT6Th//jxeXl5cv36du3fvEhkZSXBwsCbBllj3GMr4r0Yttkyqn1avo/Q/LwW6WY86mdX+/fuxtbWlSpUqFChQACMjI8zMzDSfF88nOetSnU7HpUuX6Nu3b4KxtVmzZqxcuVLxD2UWKRXoSnvMPeQmga7+mj4sLIzg4GC2b9/OrVu3uHjxovKe8F+J35k6SFm816BBA4yNjRk2bFi6Vy/K7Tx9+pTu3bsTHh5OgwYN6NGjB5UrV8bR0VH5THb0wUiBrkSf9BLoZnZgpSGBrrpKmxTo5lwCAwPp2LFjguRCn332GUuXLk2386SmYi68EUIKv2piAl21AK1OnTr079+fJk2apPgaZb+bdaR0LeDr68vw4cO5e/dugjZGjRrFiBEjMnR98fLlS3777TfWrl1LSEiIZm0fGxuLra0t27dvz/ZzXcnb372/vz/Lly/n33//xdvbWyP61t+jVPvW1XvRwvc3e/ZsnJycMnx9KwW6uZuUCHPHjx/Pixcv2LZtW4KqpGPGjGHYsGHpem0vX76kV69ePHz4MEGCAoEQf8m989yLeI5PnjyhX79+uLu70759+0Q//64KusbGxpQpU4Zx48bRokUL5bjQ0FB0Oh23bt3i0aNHPHjwgIsXLxIeHo6fn5/mHKJPVvshRftqkrsnWrRoUSIiIjT7PWo/vfgepEA3+/M+jnlJCXTFGKJO3P4+fkc5ibQIdGNiYpS9p+wgfuzXrx8XL15U5touLi5MmTJF7pnncFIj0FXvfWZk0sGkUNumm5sbFy5cwM7OjubNmzN8+HBKlCiRLueRSCSSnIgU50okuRwxqfL09KRnz54EBQUBYGVlRXx8PJUqVcLW1pZKlSpRtWpVChUqRNWqVZVJ2rvajYuLw8fHh+7duxMcHKxxpFSpUoXNmzdjZWWVKSKt1Ah058+fn2hVH0n2Ru3g2LZtm5KRTEz8xWLFysoKBwcHmjVrRqlSpTA3N8fU1JTQ0FD++ecf/Pz8ePjwIfA2AFdtS2KYnDt3Lp07d07Xe4iIiOD58+esWrWKhw8fcu/ePQA++OADtm/fjoWFhWbjXZKzEYvj69evM2XKFB48eKCpUFugQAF++uknqlat+s621AtmDw8Pjh8/zvLly5UAInjT7xkbGxMTE0Pr1q1ZsmRJou3dv3+fDRs2cODAAY1TUV/gKdAPgu/RowczZszQ3Kckczly5IhS1Undj1lYWPD69esEmarhbZZT4Wi0tLTExsaGAQMGUKVKFT766COl/fR4riEhIRw9epRVq1bx/PlzzM3NiY6OBuTmYk5HPSa/fPkSGxubZD/HR48e0bVrV0VUDm9s09ramlWrVlGzZs1sYxNLly5l1apVCRJ8FClShJ07d1KoUCG5+ZIDSGytYKiCrv4YKAIj1IIBQDNequ1YvyKO+jVTU1McHByoWbMmDg4ONG7cGFtbW0qVKoWVlZXmGtSbgFOmTJEC3fcUYUNr165l0aJFCSrX5s+fn507d6ZrNtIDBw7g7u6uzA3btWvHwoUL+d///seYMWM0Al3hHyhevDgbNmygRIkSic4f9K/v1atXhIaGcu7cOfz9/YmKiuLVq1c4OTlRvHhxypcvT6FChdJ8P5LkkZpxNyUC3dq1azN16lScnJyU4/X7UEFERAS+vr5cvXqVgIAATp06RWhoKE+ePCEqKkr5nH4iI/Uc11C7iaEfOKoW6FaqVInx48fTsGHDFH03krShFuZ2796dO3fuAGBra0v+/PkpUaIEzs7O2NvbU6NGDfLly0fhwoUTTfBiqF8KCwvDxcWFx48fA2/H9TJlynDgwIEs8ckkR6Dbo0cPvvnmG7n+zmVcvnyZKVOmJCnQ7dWrF66urjlGtGBo3L9z5w6XL1/m+PHjeHp6EhISorwvbF7YttrPe/jw4UQrykgS8vTpU/r06UNAQAAWFhZERUUpCYI+//xznJyclKAeyH7+GCnQleiTVoFuYsJcEUyZUcFrsoJu7sTT05MuXboQERGhEbqKxNXpsS5PacVcIcxVB0mKa3iXQNfMzIxmzZoxc+ZMJXGsJPsSFhaGmZkZFhYWKbI1nU7HV199xb59+wwKw9avX0+DBg0yVGTg7e3NmjVr2Lt3r7J3BW/nuz179mT8+PHky5cvQ84vSTvCbry9vZkyZQpXr15VnqV6jDNkR/qvqRMMlCtXjmnTplGvXr1MuweA3bt3M2vWrHcKdIcMGaLsm0ohTvYkKWEuaNfV7u7uDBo0iG+++YadO3cqvkWxhzNo0CDc3d3T/doOHjzItGnTNHuianuSSa1zN2obdXV1xd/fn3HjxjFkyJAkn3FiAl2177p8+fKMHDmSzz77DMBgnFl0dDTh4eGcP38ef39/Tp8+zYsXL/Dz81NiSdWIuWZy90TFa/oJNsWx6v118Tkp0M2epHaumVvQ35vftm0bhw8fJiYmRlOoSPbNOYPUCHSXLFlChQoVgOT5j7Zs2ULVqlUzXJgr+nUxV3BxceHrr7/WxJZIch76Al3xfNV/C4HuBx98kGTSQfF3ZovGxbXa2NjwySefMGzYMCnQlUgk7y1SnCuR5GIScz6KTJXqil9qSpYsibW1NTVq1KBkyZKUKFFCmdg5ODgYPJebmxvnz5/XvFawYEEOHDhA/vz5M+we9UmOQFcsrEQFtPTOeCjJXI4cOcLUqVMJDw9PsAitV68erVq14tNPP8Xe3j7BsVFRUbx48YIdO3awc+dOIiMjlU0WQ4GPM2fOxMXFJd2uXdhjZGQkoaGhbNiwgWfPnrF48WIpzM3FTJw4kf379ysbjnFxcdjY2DB37lxatGiRbOemOlBx2bJlrFy5UnlP9Hc6nY6uXbsye/ZsIOnNQg8PD/bu3cv27duJjo7WVEJTHys2SQHKli1LmzZtlKq8UpibdYSEhDB+/HjOnDmj2TBu1KgRDg4OPHnyhAsXLigZqfU3bNTZyU1MTLC0tKRt27Y0adKEhg0bYmFhoZwrLQ74ly9f8ueff7J27Vo8PT2BtxugIB3YORG1PWzatIldu3axdOlSypYt+87nqdPpCAgIoF+/fjx+/FjTdwEMHTpUEZ1nJeIeb9y4Qd++fYmLi9NkAbazs2P//v2JzpMl2Y/kJPOBNxsyjo6OFClSRFPdC7QVvsS8UR0cLlAHIqkTJcTExGg+J0RETk5OFC5cmEqVKlGzZk0KFChApUqVlDY8PDxwd3dXgimlQPf948aNG/Tu3VtJpAJvn3+fPn2YOHGiZtxODWJOt2TJElavXq0k1OjevTvfffcd8GbDZ+rUqcrcQZ0lvU6dOqxbt+6d16FevydnbvE+BgFkNmLs9vX1JSQkhIoVKyb7O1evXwcNGsTp06cVga56TpCYQFcgnrOh9fDr168xNjbm7t27eHt74+HhwZUrVwgMDOTRo0cJquuq1/fqoCF9Ea7+a+rX1UFD+fPn5+eff5b9ayYh+qKYmBj69evH1atXsbCwIDo62mBVBhG8Xa5cOUqWLEnRokWpW7cutra2VKxY0aBgV6fT8erVK9zc3Lh7966mX7W3t+fQoUNZFhSelEBXiBWlXzN3khsFumB4vR8bG8uDBw+4du0a9+/f59SpU0RERBAQEKDpt+3s7Ni2bVuOut+sxtPTk169eil7Quo9IDFWFi5cmGbNmtG+fXsqVaqEtbW18pnsMu+SAt3cjboKSXJJrUA3qaoSGVExV5/kVNAtX748Q4cOpVmzZprfoyT7IaqQif1C9V5Ps2bNWLVqVbru733xxRccPXo0WRVz9c+r7s+PHz/OokWLePTokWaNJGIFihYtyp49e7Czs0uX65ZkDE+ePGHatGm0aNGCnj17YmlpmaxxW53QfcCAATx//jzB3lCxYsVYsWKFwbV6enLnzh1mzJjB9evXNWsdnU5HqVKlWLFiBeXLl5djeTZEPBMvLy9GjhzJ/fv3gbcJzuBtJUf1Xo/4t7ofE6j7s/Lly/PDDz9Qvnz5DN9zfpdAV30fUqCb/UksNk4IaNTr6a+++or+/fsDMG3aNH777TfN3k1sbCyffvopy5YtS/d4nXv37vHFF1/g5eWlmbvqX6MU5uY+DNkovBHbLFq06J3HJ1egO2rUKD755BPNOcFwHE98fDxxcXE8efKEx48f8+zZM86cOUNoaCg3b97UfFa9Jyr696T2RMXfAv29IHWiomrVqjF+/Hjq1Kkj+9VsQGrnmpmB+joyep6gPtfNmzdZvnw59vb2zJ07F5B9c04jNQLdLVu2cPnyZSUeMquqkqrFj6L/NTMzUwphzJo1i27duqXLeSVZh6EKuvq+zrZt29K/f3+qVq3K/v37mThxIpD11ZzFv0U8gK2tLXXq1OG7774zGK8vkUgkuR0pzpVIcinqDRZ1EIa6so564awORldXgxIULFgQc3NzatSooVSjKF++PAULFsTe3p7JkyezZ88eTbCQmZkZu3btoly5cpm6KE1KoCsCUeLj4+nQoQPz58/PlGuSZAz37t1j1qxZXLp0CUCTta9t27aMHz8eBwcHZYGq3vjR/w38/fff7Nu3j+PHj2sC3fUXOt988w29e/dOt3vQvw5xfVKYmzu5cOECw4YNUzb3BD169ODLL79MdkZytd2sX79e6cvUlaJ0Oh2dO3dWnIOJ2ZS6LV9fX86fP8/cuXN59eqVJthZ7Ug3NjamV69eNG3alEaNGgFSmJsdWL58OcuXL9dkpy5QoABTpkzB2dmZ06dP8+OPPxIeHq5s2ugLFPQ3zPPly0fJkiUZMGAAFStWpGLFisr5UvvMX758yZEjR1iwYAGDBg1i+PDhgHRg50T0hbmiv6lduzazZs2idOnSyXquX331FXv37jUYEPbjjz9qKvlkJf7+/rRq1Yrw8HCNYMfY2Jj9+/fLCk7ZiKQ2Cd+VzEcdnGhpaYmTkxMLFizg9evXeHh4cO7cOTw9PXn+/Dne3t6aeSK8DaJQt6M+p/pz6o1oMf/TF5aZmppSpUoV7OzsaNSoEdWqVcPb25tly5bx5MkTxTGvH7whBbq5E51Oh6+vL0OGDOH+/fuajUCdTkelSpWYNm0atWvXTpdz9enThytXrih2OX78eD7//HMAQkNDWb58Odu3b1eCykXQWt68eZk4cSJdu3ZN0Ya9+rebWCVVScah9iO1adOGChUqMGfOHJycnFIl0NWvoJsSgW5iJCbojo6O5urVqwQGBvLvv//y4sULnj59yosXL5R+WKCugq7upwX67asDmDp27Mj333+f7OuVpB51xVxXV1euXbum+HbUySn0g2bVVU7g7dhetmxZChUqRKVKlahWrRr29vY4Ozuj0+mwtrbmxx9/ZPXq1Qn8QVu2bKFOnTpZ9j3oC3TVPqMPPviAbdu2YWlpmWXXJ8k4cqtAV42htWJERASBgYFcu3aNly9fcuvWLfz8/HB3d89wkUhuQl0xV+wJqcdQ/TVMkSJFcHR0ZPjw4ZQsWZJSpUop72UHX40U6OZOnjx5wvr16+nRowcffPBBio5NqUC3ePHiih1khTBXkJRAV4zvtra2rFq1ipo1a6bbeSUZw+PHj+nWrZuS9Ff0sWXLlmXv3r0GE8OkhtOnTyuJLc3NzRWRUXKEuQL1+ubs2bOMHz+eoKCgBNXLGjZsyJo1a7JN8L0kIeq4j8qVK9OjRw86deqUItFEeHg4K1euZMuWLcocAd76uT/55BMmTJhAsWLFMvReTpw4wdChQ4G3/bEY09V7m5Lsg9pv1L9/f7y9vTUxRvpJtAoWLIilpSU2NjbEx8fz33//YWJikiBBtLBBcXyVKlXYvHkz1tbWGT6XkxV0cwcpqZirFuYCLF68mDVr1iTY0/nwww/ZtWtXhjzjdevWsXDhQsBw0sCJEycycOBAzb1Jcjbq/rN3794EBAQo87ratWvz888/J2vumBqBblI2bCjWQ8wnb968SVBQEOfOnePBgwc8f/6cR48eKYlc1Yg+XR1nkpRIV32cSEA4cuRIRo0albwvVJJhpMdcM6MQ9hoUFKSIvTJToOvl5aVUgZR9c84kpQLdwoUL4+vrC2QvYa66KFX79u1ZsGBBupxXkvUkp4Ju165dKVq0KMuXL1fey+qKucI21YmF1QnfJRKJ5H1DinMlklzM06dP6dmzJ8HBwUplCUOZy9ToC3aFA0VdDUpMpuBNsEPDhg3x8/Pjf//7X4Kg84ULF9KuXbsE51EHzmUESQXdAxphrlw05zyEg2Xbtm2KWEJdBbpdu3Z8//33yXLCqJ//s2fP2L59u7KRLWxZXd3sp59+omnTpul+T/qB6HIjJ3eyY8cOpk+fDmjFrimxq8SEuWIBbEiYq++UjIiIIE+ePImew9PTkwsXLnDq1Ck8PT3x8fGhSJEi2NraUrt2bRo0aKAJEJL9aNYibCI8PJz+/ftz8+ZNTbZ+R0dHfvnlFwoXLszDhw/5999/OXDgALdv31baUDts4G2yA9G3WllZYWNjQ+/evalduza1atVK0zWHhoby4sULRTQmbSjnkZgwV/RFzs7OzJw5k/LlyyfahnjuYiNaP0u+mZkZ7u7u9OvXL8ttJCYmhsjISDp06MCLFy8SJPHYu3cvZcqUkUkKsgHCVoKDgzEzMzNYbeZdAl11kgKAjz76iPnz51O4cGHlWD8/Px49eoSPj4+SSfratWtEREQoznF1Zn31GkwtKjKULVotUldfs8DJyQlPT08iIiKU12QF3feLH3/8kRUrVgBvhYPCxtq3b8/cuXOVPjU1/ZJOp+PgwYN89913REREKFVM58+fT4cOHZTPXbp0iXnz5nHr1i2NQA6gRYsWStIQub7J/qiD2ISYB970f5MmTaJy5cqZXkE3OSRl497e3vj4+ODl5cXZs2cJCgri8uXLREdHG+ynRQCeuDYxnxbXrRbmZvW85H0hJiaG/v37c/nyZczNzTWB45CwArI64ZDadykqfOsnIqxQoQJ58uShVatWnDp1inPnzmk2kePi4li5ciXNmzfX9GOJJX3LKNQCXQsLC6Kiovjwww/Ztm0bFhYWMrlbLuZ9EOiqSaxPl/OIlBEWFkabNm3w8/NT+ozEvj/9pAZWVlY4OjrSuXNnmjZtmuR6PrORAt3chaenJ927dyckJIR27doxePDgFM8HExPografbNu2LaNHj6ZUqVLs27ePSZMmAZkbWKnGkEBXEBcXp1Rpk2R//Pz86NixI8HBwcBbYaODgwMHDhxIt+rH0dHR7Nq1i9mzZxMXF4e5uTnx8fHJFuYKRH8ZGxtL3759uXbtmma9rtPp6Nmzp7J/Jcl+qNfrog+rUKECffr0SbFo4vbt2wwZMiRB/6nT6bCzs6N37964urpmSJUb9TVu2LBBWWer+9wyZcqwfPlyypQpk+7nl6QOtbCsT58++Pv7Jzr21q9fn1q1atGrVy8sLS3JmzcvADdu3MDT05Nly5bh7e2tjMOGElg2b96cH3/8MVP2W2QF3ZxNaoW5Yn0hYjfUc0MjIyPKli3LwYMH0/Vaha08fPiQL7/8kocPHyaIr6tRowbbt28H3j22S3IWvr6+tGjRgtjYWE0SLWtra3bt2kXp0qWT1U56C3TVJBWz9urVKx48eEBAQAD//vsvwcHB3Lhxg5CQEKKiooC3/ll13JK4Ln1bV+8XyISY2YP0nGumN6LP9vLyokePHtSuXVtZN2emQNfQvyWZg6HvPTXPQj3v2759O9u3bzco0FWfI7sIc+Pj4zV9p4x9z50kR6ArUM8nsqpiriHbVI/rss+USCTvI1KcK5HkUkJDQxkxYoQSwGYoc1lyAsRBWzVEHSxuqKKi+v34+HhatmxJxYoVKV++PBUrViRv3rwUKVJEcy3qiqbiHOmB+nquXLnCunXr+Oeff2jXrp2SiVAuTnIuvr6+dOvWDX9/f02QZf369Zk7dy5FihRJ9gQ/JiYGMzMzIiIi6Nu3L7dv31ZsRyxe4E0Wy4YNG8qFgyTFiGCJQYMGcfHiRY3w5+OPP+bnn39OVjupEeaKQGRx3L179zhy5AiffPKJwaoEhvrF0NBQbGxspN1nY3Q6HTExMfzwww+sX79eI8iJjY3l008/Zc6cOVhbW6PT6YiNjWXVqlVcv36d06dPK+2os1wL9KvpFixYkGrVquHq6krZsmUpXLiw8tnUjKtyLM55JCXMBZQ54qhRoxg5cuQ723v27BkuLi4EBwdrqqDFxcVha2vLjh07KFOmTJaPvzExMbRv354nT55oKkvky5eP/fv3a34LkqxB9CePHz+mZ8+ezJ8/nyZNmhj8bHIFuuIzderUYeHChRqBrn5bjx8/Jjw8nMuXL+Ph4cHjx4+5desWZmZmREZGas4vHOjqSj36m9PwVoShDk4SqDeJ1MfrZ8+UAt3cgzrYyN3dnRs3biToNwFcXV2ZOnWq5piU8OrVK6ZPn86hQ4eU1xwdHdm1axf29vaa38C2bduYOXMmoA2oAPjuu+/o3r172m5akuEYytwvErzpdLo0C3QzooJuUiQVjOHp6UlYWBhnzpzh4cOHPHjwgPv372NiYqJJeABvNjXj4uLkJncWodPpGDlyJMeOHdO8LtYmiVVATsyfKVCP8eJzZmZmAEoVMvVY2qxZM3r27Im1tTWVK1fG1NTUYCULcZ6MCgby8PBg3LhxPHr0iOrVq7Np0yYpzH1PeN8EupL0YcqUKezevRvQ9oXCbtTrWdEX6u/3lCtXjkqVKjFkyBAKFixIwYIFlfeyaixMqUDXxcWFgQMHYmFhkeX+BMlb1MIJMa63bt2aYcOGpXjdmlyBbrdu3ShTpoxSTSSzK+bqoxboqn1pMhlMziE+Pp6QkBB69erF06dPEySrWrBgAe3bt0+380VHR/Pbb78xe/ZspZ9LiTBXja+vL506ddKIisXvZdq0afTp00faXzbEy8sLFxcXQkJClMRFwhZSK5o4ePAgEyZMABJWrnV0dGT48OG0adNGEVamJ+Iavby8+Oabbzh79myC39GsWbPo1q1bup9bknIMiR8TG3NdXV3p06ePIqwWiWDUNunr68vatWv5559/eP78uRIfpO577OzsmDhxIp06dcrUe4TkV9AdOnQodevWzZTrkxgmtcJc/ec9ZcqUBP2mpaUlf/zxB4UKFcqQMXHixIns37/fYLLYtWvX0qhRo3Q/pyRrefbsGW3atMHIyEgRs5qYmGBubs727dupXLlystvKSIGuPu9KjhkeHs7Nmze5efMmnp6eXLlyBSMjowS+dvWeqGhXp9NJv3s2ISPmmumFWpjbu3dv/P39MTIyonPnzsyZM0fzGUnuISPjzpIr0FXPASFrq5JKYW72ISV9YGr7S0MCXbVuA7R+cLVvc8uWLVStWjXLqjlL25RIJBKQkRsSSS7F1taWOXPmEBkZSWBgIOfOncPX15e7d+/y7NkzgAQB4iKYVz+LmXrRIf4WznZ9Ua3+Z//++2/+/vtvjI2NsbKywtLSEicnJ+zs7KhZsyalS5emSJEilCtXjtjY2AQBburAOjGZSy7qwJOaNWvSr18/6taty4ABAwA5AcypiOd2+PBhTVZWExMT8uTJQ9u2bSlUqBBAshY48fHxmJmZ8fLlS4YOHcrt27cV56VamLtmzRpFmAsys48kZYj+1d/fH0BTlUkEt73LplIrzFUHZVy8eJHFixfz+PFjzM3N+eCDDxL0hepAebGAtra2TlAlSJK9MDIywtzcHBcXF3bs2EFERIRGpHPr1i0uXrxIs2bNiImJwdzcnNGjRxMUFMTx48f55ZdfePr0KS9fvtQEvAtBArzdNAkKCuJ///sfV69epWDBgnz++ec4OTlRoUIFxTZS0kdKe8pZJCXMVQuyOnTokCxhbnx8PA4ODjRp0oS9e/cqm+UiyCE0NJQFCxYwc+ZMChQokHE3lgzUDk6BmC8IUYck61AHYvTv35/Q0NBEMzyDdq2grgZ+/PhxZW4pnreRkREXL15kwoQJikBX7YQWbZcqVQpjY2M+/PBDpb3Hjx8TGBjIv//+S2BgINeuXSMwMJDQ0FDgrZhd/RsS/be+WFc9f1CvzfT/L64tNjaW3bt3Y2RkRK9evQwm5ZDkLMSY6ejoyEcffaRUrBXjtXjuW7duxcLCAnd391SNs2vXrlWEuSLZl6Ojo8bmxf/79OnDzZs32bt3r2KjYkPm0qVLdOnSBWNjYzneZ2OMjY3x8fGhTZs2il8mOjpamROeP3+e77//PkUCXXWwzbp16zQCXXXFUWNjYy5dusSsWbPSTaCrH4Sh7qeLFy+OsbExVapUAd6IMZ8/f46/vz9nzpwhKCiIS5cuERISQmBgIADt2rWTG4lZQEREBIMGDaJt27b4+vry33//4eHhQWRkJE+ePNFUwVVXsAE0QeUC9RiptmFjY2PF76MOvBDt//PPP/zzzz8AlC5dGmtra6pUqULZsv9n77yjo6q6PvxMeiONQAoEQu+9d6RYAKWJgHQBsSOCDV/lQwUbKoodQaWLKCIggjTpndBLCKSRTnrPlO8P1rncOymkTBqcZy0WyWTm3jtz95yzzz77t3d9vLy8aN26Nfb29kqRFmF/aruzhN00bdqUjz76iB9++IFPPvlECnPvIzp06MCCBQsUga5aCC7G2rVr1wJIga5EGW8GDRqkrD/EWGhnZ8fAgQOJiori2rVrJCcna7rHi7FTrMmvX79OcHAwx44do06dOkycOJE2bdrg6+tbYXOhiFN5eHjwxRdf5BHoiv0jo9FIZGQkGzZsIDU1lVmzZsk1eyXBXDgh1sDbtm3DYDDwzDPPKH5aUbC3t6d///4AeQS66nXxhg0blNeok9rKOnmtILy8vPj44495/fXXlaKJUphbtbCyssLT05P69esTGhqqjEEilnTjxg3AcvuIIu5vZWXF/Pnzadu2bbGFucKurl+/TkZGhqawm+jIK0Rm0v4qH5s2bSI5ORlra2tlvS7mvKCgIFavXg3cHkscHR2LZHsPP/wwly9f5scff1SK/Ao7iYyM5Mcff8TDw4PevXvnW6CoNIhr8/f3p3Pnzhw+fFj5m7DNAwcOMGLECEDaZEVSkPhRFLdSix9feOEFnnvuOc0+oXmMxmg04u3tzcyZM6lVqxZr1qwhPDwcuBOvN5lMJCQksHv3bgYPHlwufpz4PllZWTFy5EiAPAJd8Xe9Xs+JEyeA28UTevbsWebXJ8lLYbYJ2u5iBQlzAaVDuLpQtU6nIzMzk7S0NIsX5RXnf+aZZzhx4gSRkZFKrp34Pv3888+0aNGiTLqXSyoOJycnXF1diY+P16xhMzMzOXr0KM2aNSuy79iwYUPGjx8PkEegK2z52rVrLFmyBICBAwfmW8SwKOQneBTH8fHxwcrKikaNGilzdmRkJMnJyezfv5/Y2FgCAwOJjo4mNTUVvV6vKQomBTyVh7LwNS1BfsJcUYThjz/+wNramvfee08RLcoczqqPGAvEeHD69Glu3rzJ6dOniYiIUO6xo6MjzZo1o0WLFjRp0gQvL68ijyFqv+/JJ58EUAS66jxJ8zwNET/65ZdfpDD3PkY9zkRFRZGbm0tYWBg2Nja4u7tjY2NDw4YN8zy3OAwYMIBFixblEejmV+Tf2tpaIxovT2GutE2JRCLJH9k5VyK5BynMucnJySEhIUEJgiQmJnLmzBliY2NJSkoiPj5e83x191B14pu5cDe/16irXKqDn2KRI7Czs6NevXq4urrSqVMnatSoQUBAAA0aNMDGxiZP0FEdUBLHK4z8FuDSAaz6vPDCC+zcuVNjZwEBAaxZs6bIgWphB2lpaUybNo3AwEBlASEWL3BbmNu7d2+N8EHYT3x8vKZzgERSEGFhYYwdO5bk5GRNR9NXXnmFp59+utBqfpYQ5v7777+88cYbpKenA1CrVi1+++03ubFzDyHGtEWLFvHTTz8pmzpi7FJ3jje3t5s3bxIWFsaSJUsICQkhISEBuDPHquf7/IRhdevWpU+fPgwfPpw6depoqqnLQPi9Q1GEuSWtcvv333/zyiuvANoOziaTiRo1avDcc88xcuRIiycCFRWDwcCNGzcYPny4xqc1GAy0aNGCn3/+GWdnZ+lfVhDqro9jx45VBFUzZsxg1qxZhdqhenOloA666ueqO+gWNHer1yvm501ISCArK4srV65w4cIFbt68yeHDh8nOzla6lgjU4jYR4FavtfLrDKj+nooKrgDvvfceo0aNKsGnK6lsiHuclpbGlClTOHfuXIHdKkaPHs3MmTNxc3NTxAzmm9RqO05LS2PZsmV8++23AJqEpiVLlihV1gXCxk+cOMGbb75JeHi4xk9wcHBgw4YNyiaUpPJy4sQJZs2aRVxcnGIjaoGLyWT5Drrm4kVLd9AtDHURhvzGaYPBwIULF0hKSlK6tMg4UsWTmZlJbm4uV65cITU1lcDAQIKDg4mKiuLKlSvY2NgonScE6s4R6uJFQL7zqTnCXkW3H/NCLWI93bx5c/z8/AgICKBt27a4uroWOvaJc5fUrqQw9/5DdtCVFIeMjAymTZvGqVOnNJ2Yunfvzttvv01QUBDbtm1j27ZtymvUgkVAibmrx822bdvSoUMHJk6ciIuLC87OzvmuQ8qau3XQFX6vSBqaO3duuVyXpHAKEk7Y29sr8/d3331H3759i33sgjroqrs3wJ2ia6KgUHl3zDUnPj6ep59+Gm9vb2UNJn3OqoEY89577z1Wr16dp1tZzZo1Wbt2LbVq1bLoeXNycti/f78iSi+JT7hw4UJWrFihjNnCR/b29mb9+vVl1iFQUjqys7NZsmQJf/zxR569G/OuZsURTVy4cIHFixezf/9+zTGFD9CoUSPeeustOnXqZPFuZOL6srOzeeKJJ7hy5YompuTr68vmzZtxcXGx6HklRac4XUnnzJnDtGnTinRcdWzzp59+Ys2aNSQmJio+pfDlAL7++mtlzCsPitJBV/2+Z8+ezfTp08vt+iS3KY5ovDBhLsDVq1cZO3YsGRkZyj0WRWRWrFhB+/bty2Stk5yczP/+9z/+/fdfTWzfZDJRs2ZNvvnmG1q2bCm7Qd4jCBuaM2cOW7ZsUcY5EWucPHkyb7zxRrGPW54ddAujsD3RtLQ0MjIyCAkJ4dy5c0RFRbF//346derE+++/r3m9pOIoK1+zNBQmzIU7e+APP/wwixcvLrPrkJQ/t27d4r///mP37t0cOnQoTyduc9q2bUv79u2ZMWMGzs7OeYqrF8TdOuiK8VSg0+lYtGgRgwYNIicnB1tbW4t8B2RX0sqP+KyzsrJITk5m06ZNBAUFcejQIaWwENwWjdvY2NCqVStq167N+PHjqVmzJu7u7kDx5+CCOuia6zXs7OxYvXo1rVq1sujeobRNiUQiKRkyg0MiuQfJz7kRTo+1tTU+Pj74+PjQunVr4HZlH71eT0xMDCEhISQlJXH06FHi4+MJCgoiOjpaSQZXI4Ka6good+u0K/4uqhyJCtZXrlwBbnd1hNuLaA8PD5ycnGjVqhXu7u60atWKevXqUaNGjQIrtKudWLVAuCifkaRqYDKZiImJ4fTp05rEctEVwNPTs0hB6pIKc8XfATZs2MC5c+eYNGkS9evXL9s3LqnyZGVlkZGRoQQLxZiq7tKTHyUR5ooOKnA7YWPVqlWa18HtCl4HDx7k0UcfleLJewRhQ+3bt2f58uWa8cpgMLBlyxa6d+/OiBEj8nR0qlWrFrVq1aJdu3YcPHiQ3bt38+effyqvVW8MqoOQIgAUGhrKihUr2LNnD3Xq1OGZZ56hdu3a+Pr6yq7L9whlKcwFGDRoEHv27GHz5s2a7qA6nY64uDh+//13WrRoQevWrStkzLK2tiY2NlbZ3BfvGaBdu3ZUq1atXK9HcgextlAnYoiujykpKUDhvn9RO+iK55h30M3P7xTnUxc4ENfp7u6OlZUVfn5+PPDAA8DtRIzs7GwOHTpEVFQUJ06cICQkhPT0dJKSkjSVpNVCDHXChvjfPLkSbn+/pDD33kEkSLq4uPDFF18wefJkpSKr6Hom5udff/2ViIgI+vfvz6OPPqqMVeoxVNjSvn372L59uzL/i41tnU7HAw88QJs2bfJci7Dxli1b0qBBA8LDw5Xj2djYkJWVxdGjR2nYsKH0Ayo5bdu2ZdGiRbz//vsEBQUp45o6sebo0aN8+OGHvP766zRv3rxEHXSnT5/O/v378xy/LDroFoY4v3khGp1Op4zTamGItN+KQy36cnR0xNHRkU6dOgHQr18/5Xk3btwgNTWV48ePExMTw40bNwgKCsJgMBAXF6fx3dTjFNzptKve0FbHM82FZ+oEuqSkJIxGI4cOHdLETXU6Hc2aNcPDw4PmzZvTuHFj5Wdra2vc3NyA/H2UosS0pDC34qioxFjZQVdSVIxGI05OTrz00kvMnDmT5ORkrKys0Ol0HDp0iKVLl7Jw4UIefPBBevXqxc6dOzl8+DCZmZmadbiI/aiT28+cOUNgYCD//fcf9erVY/r06dSpUwd3d/c8ezJlSWEddMW1m0wmHn30UUWYK2OfFUtBoh51YY3XXnutRMJcKLyDrnqfUi2qqWhhLtzuoPvLL78o6zTpc1YdxHgyePBgNm3apBH0WFtbk5GRwYkTJ6hVq5ZFfQc7O7sSC3NNJhPJycmcP39eGS8NBoPiww4YMMDi3QEllsFgMGBvb89LL72EwWBg06ZNJCQkaNbTJe1q1qJFC4YPH05UVJTSKUodewwKCmLhwoW88847dOjQwaJzqdqXrVu3LleuXFHei62tLWlpacTHx0txbgVRnK6kr7/+OlOmTAGK5nOJ9bWLiwvjxo0jMDCQgwcPKj6eKPxvMBg4e/Ys/fv3L7c58m4ddNVFuwYPHiyFuRVAcUTjdxPmiueDNv5kNBoxGAwEBwfTvn37Mnkfbm5ujB07ln///Re9Xq+IG8Re5LfffsvXX38thbn3CGJcFIVb1OttgHPnzil7McXx78qzg25hmO+Jwp3vnJOTEy4uLtSsWZPOnTsDtwW7Yn6Xa6CKpyx9zdJcU2HCXHVOZ/PmzS1+fknFkJiYyOXLl3n//feJjo4mPT1dGR/UxQcAZc7U6/WcPXuWwMBATp06xaOPPsojjzyCp6fnXceXonTQFX6fiDf+8MMPNGzYkMaNG+cR75YEKX6sGogmAd9++y0XL17UrF3FOKnT6cjKysJkMnHo0CEAdu/eTYcOHRgzZgzdunUrtr0U1EFXfRzRXEDYfFHF6XdDdsyVSCSSkiM750ok9ynmlaLNnSLhpCUlJREbG0t0dDQnTpzg1q1bnDt3joSEBDIzM5UOjIL8OuwVNMyYB32EwFIIfs0FveJ/V1dXGjVqhJubG127dsXb2xt/f3/q1aunJClL7m3Onj3LE088kefxBQsWKBslhVFSYS7cCZx+/vnn/P7772RmZjJ//nyGDBkiFxiSQgkODmbUqFFKVTcxphVWCbOkwlz1Rk14eDhTpkwhIiICe3t7cnJylGM/+eSTvPPOO2X2niUVx5tvvsnGjRuBO/Or0Wjk4Ycf5u233863Y7L5GLZnzx5OnDjB2rVrFbs1F5qZi8DUifMNGjTgscce44EHHsDf37+s37KknFixYgULFy4EyFPNWT0WlWRO3Lx5M++//z6pqamaYwh769mzJ4sXL8bFxaVc51xh2wsXLmTVqlXK+xYB/3nz5jF27FiZ7FtBmEwm0tLSGDp0KJGRkdjZ2aHX6zEajXTq1Inly5djbW19V3tRrzcs1UG3KOcz34SH27afkZFBREQEFy5cIDY2loMHD5KcnExQUJDmOCIIr+5EKa5XBsPvbcT9PHLkCHPnziUyMrLADrrOzs74+Pjw8MMP06BBA7y9vbGxsSEpKYmIiAj+/fdfgoODiYuLA7S+prOzM3PnzmXEiBGFXkdgYCBPPfUUGRkZms3RIUOGsGjRonL4RCSlRa/Xc+LECRYsWKAIdIUdqAsVdO7cuVgCXXFskVikFuiK46ursJdnB11J1Sa/buBqEhISSE9P5/z586SkpBAYGEhISAhxcXFERETke0y1kMcccwGvOl6p7vBjMhXcabd27drY2NjQsmVLatWqRe3atWnbti3Ozs74+fnle03Sx6w49Ho933//Pf7+/jRs2JCmTZui1+uxs7PTPK+wDiGWRnbQlRSViIgIZs2axblz5xTfTownc+fOZdy4ccDtzp0hISF89tlnREREEBsbm2+sR/wu/AFAKZjQp08fhg4dioODgxJjL491R34ddMW+klwHVR4s0dGsqBTWQRe0c7m9vT0rV66kdevWlaIjvZzvqyY3btzgiSeeIDU1VRM7EnGjlStXKr9Xhvu7f/9+RUhmPta//fbbjBs3rtJcq0SLGBtzcnL4/PPPFdEElLyrmfrxn3/+mW+++YbU1NQ86xyDwUDTpk35v//7P1q3bm3ROVWcZ/369bzzzjvKPC6u4fvvv6dPnz4WO5+kaFha/Hi38wQHB/PEE0+Qnp6ep1hMQEAAf/zxB05OTpZ9k0W8NrjTQTcrK0sZM6WvWTGUhW2mpKTw5JNPcuPGDU2c0mg08uqrrzJ16tQyeS8mk4mcnBxef/11/vnnnzwxhRo1avDRRx/RtWtXOTffA4h7uGfPHl588UUATfc7Dw8P/vnnH6WYX3GpLB10i0J+DVckFU9Z+JolpSjCXPGzepyW9lS1OX78OFu3bmXz5s2kp6fnGcfMUa9Z1PHKmjVr0qNHD1544QWlIMLdKGoHXXEtDRs25IsvvqBBgwal8gOl+LFqcO3aNY4cOcJXX31FUlISQB67U8cb1QVXxFhlZWXFW2+9xfDhw0u0rimogy7c0WUMGjSIKVOm0KpVK+Xxko6J0jYlEomkdEhxrkQiyRfhLOWXaJ6RkaEkiwcFBZGQkMDFixcJCgri+vXrBS6AxEZ4Qc6peQAmvwQ3dYBKjYODAz4+PlSrVo0OHTrg5uaGl5cXjzzyiBTr3kMIm9i7dy/PPPOMkswhFgA//PADPXv2LNTZL6kwV9hnWloa//d//8eWLVuUTcJWrVqxevXqPMl5kvuHoixqb9y4wZgxY0hLS9OMsT179uS7774DtN1vLCHMFXz88ccsX74cuBMkMBgMtGzZkrVr1yqd1SVVH2E3//zzD2+99RZZWVmaoKWNjQ3fffcdPXv2LPAY5mNocHAwa9eu5cSJE1y+fFmZh82FmfklBcPtapVNmjRhxowZuLu74+7unud6JVWDn3/+mQ8//BDIK1xo3Lgxy5Yto0aNGqXqCPHiiy/y77//FijYefDBB/nyyy+B8ulaJWw0OzubJ554gitXrmh81tq1a7N+/fp8Be+S8uXxxx/n/PnzmrVCrVq1+OOPP4q8oV3eAt2Czp/fsTIzM7G1teXs2bNERUURGBioFE0SXVPF2Cvew9ChQ/noo48AGQy/l9Hr9ezbt4/3338/j0BXPf+LCvxGoxF7e3slAUgt8FbbnvA1p0+fzuzZs4GC522TyURMTAxTpkzhxo0bmq5lrVu35qeffir3JDpJyShIoCsqNEuBrqSyoy7uUpBtpqWlce3aNZKTkzly5AhRUVFERUVx4cIFZTwUc766MrkYH/PrtGuO+txqcTto/Q24HdPU6XS0bNmSGjVq0KJFC5o3b05OTo5MRK9AcnNzGTt2LOfPnwfA1tYWf39/JcHHy8uL9u3b4+rqioeHh+a16jGtLNa8RRHoPvnkk4wbN04KdO9zfvvtN95++23gznhmMpno27cv8+fPx9vbW7HX5ORkzp07x8aNG9m5c6fSzbSosZ+OHTvSpEkTnn76aVxdXXF0dFT+VpaxH7VA9+WXX+bo0aNyHVSJKEq3PUsJcwUFCXTVqAvAOTo6yri4pFQsXrxY2d9RF18zGo08//zzigCjoklOTubtt99mx44decb2evXq8euvv+Lq6lrBVykpjLIQTajH3UWLFvHjjz9qcjPMBbr/+9//aNu2rcULGmzZsoU5c+Yo5xXxh2+//ZYHHnjAoueSFE5B4seymsNFp9xZs2axc+dOzXrc2toaDw8Ptm7dWiHjk/o9/fHHH7z33ntkZmZKX7OCKEyYK/asS2KbRqORMWPGcPbsWeUxEScfPXo08+fPL9O9yJUrV7JgwQLN2CviRVOnTuXVV18tk/NKKobw8HAef/xxkpOTlcdsbW2xtbVl3bp1NG7cuMTr56ok0JVUTiqDQLcwYa75WD9nzhymTZumuXZJ1WTz5s389NNPBAUFKTnA5nEc0Apl1UUIxfoB7tjoU089xZw5c4psF3cT6Kpzhy0h0JXix6rB3r17WbduHUeOHFGEsepYSmEUtGfzwgsvlCi3LD+BLmjXZ4MHD2bKlCm0bNlSucbijs2ym7NEIpGUHjkaSiSSfBHOkggyqoOADg4OeHl50bZtW0aNGsWMGTP46KOPGDRokOY1cHvh7OXlhZOTk7JYVgtzRdKuehPHvFOueL462UO8VrwuNzeXkJAQzp07xy+//MIXX3zBhQsXpDD3HkVUIlIvdIStAAUuLEorzI2KimLmzJls2bJFWWzY2NgQERFBcHBwnmuS3PuY20hubq7SYdQcPz8/RbwDd4JCgYGBREVFKYtbcVxLCHPFOTp27IiNjY1GbAG3NwBE1TnJvYGwm379+lG/fn2lKIY6WP3VV18RHx9f4DHUAROj0UiDBg2YM2cOy5cv1wRyxLwuEL6CSFYXc/SlS5fYuHEjkyZNYs6cOezevVsJ5MsNn6pDVFQUu3btUn43n+8SExNZv349UVFRJRpTxNj4f//3fzRr1kwjLFP7jTt27FBEYuZiybJA2OjSpUu5cuWK8t7E/3369KFatWplfh2SghEicSHAFUkM1tbW5OTkkJKSUuRjqe2tQ4cOTJs2jb59+yrnUY+POp2O48ePM2fOHGJiYpSEjdKgDtKbI7pQtWvXjsGDB/PWW2+xbt06fv/9d5YtW8bChQt59NFH6d69O66urjz22GMySeg+wcbGht69e7NgwQL8/f0VYZlAJFGqk4QNBoPGXtUJGmLjz2QyMXr0aGXMFRue+aHT6fDx8aFbt27KY+IYN2/eVDqiSyo/NjY2dOzYkbfeeotGjRppbEeMgzqdjmPHjvHRRx9x8eLFIq+B1RuES5cupVevXsrx1R1GraysOHHiBO+//z6XL18us/cquTcR811+45UY91xcXGjbti19+vTh9ddfZ/HixaxcuZI333wzT7Vp9fyvHjvFYzY2Nsp3RN3hR7221+v1mi5q5vHQnJwcMjMzOXnyJH///TeffPIJU6ZM4dtvv9XEQiXlR25uLhMnTuT8+fPY29sr9/T69escOXKETz/9lDfffJNx48bx+OOP89JLL/H111+zZcsWYmJiNP6nWqCj/r80dOjQgQULFhAQEABo7VWsw9esWcPq1auVeKXk/kLYxAMPPEDHjh014xPcTiw6dOgQcCexzc3NjZ49e/Lpp5/y2WefMW3aNOzs7JTYj5WVlTJ2AXliPydOnGD16tWMHj2aefPmsXfvXk3xoLJaM4t1mIeHB59//jmzZs2S66BKQn7CCWEzZSXMhdsdcfv3789bb72Fl5dXnvWR4MCBA8ybN4+IiIhSn1NyfyLG2pYtW+Lo6KiMker99P3793P69OmKvExl/E1ISODChQvAHb9YfDc6deqEg4ODjG9WcsScbWdnx6xZsxg6dKiS1KteTwMEBQWxevVqRaBTUHEhUcgXbgscxo4dqynQJX62trbm8uXLvPfeexw9elQp4lFaxHVXr15dyfsQ6yVA2beXe+/lQ3kLc+H2OGRra0ubNm2UY4n7bTQaiYuLIygoqJTvrGSoY1UjRoxg9uzZjBw5UvqaFcDdOuaWRpgLKDll5ut34SeWxX0Wdj5+/Hg6d+6s8R/E/LxmzRqOHTtm8XNLKgaj0YiLiwve3t7AHbvS6/VkZGRw8uRJoOS5Ew0bNmT8+PGKWFKdIyLGs2vXrrFkyRL+/fdf5VxyjpUIysLXLA5365grhbn3JqtXr+btt9/m4sWL5ObmatYnQqAqxjKRE6Jer6jXDmL8bN68OcOGDSuWXaj9vieffJKxY8fSsGFDQLs/Ls577do1Zs6cSXBwsOa1RUEKc6sGv/32G/Pnz2f//v1kZWUpMWh1EStra2slNq7+2Tzn0tbWFoCzZ8+WeJ4fMGAAixYtwsHBQVMMW/3z1q1b+emnn5SCs8Udm+9mm1KYK5FIJEVDjogSiaRIqJPMzJ0pk8mEg4MDrVq1Un5XM3DgQDZt2sRHH33EhAkTGDhwID4+PlSvXl1xWkWShwg0ii6O6oQ1cR1ikWU0GpUNfbE4EQuUxx57jP/7v//L93okVRdhB6LyvljcCvuJiYnRPE9NaYW5cDsAf/DgQeBOZSy9Xk9iYqKS0CSFZvcPIgCTmZlJTEwMX375JbNnz2bx4sXk5OTk6a5nZWVFtWrVgDt2YmNjQ1paGr/99hvZ2dkaURCUvmOuGK/btGmDp6enJlglNrllwsW9h8FgwM7OjmnTpuHi4qIEL0WwOjIyUknQvZuQTNiQg4MDnp6evP766yxatIiPPvqIxo0b5xtgUScGq4NSMTExHDhwgOeee45XXnmFL7/8kqSkJLKysoA7Y7qctysnvr6+zJgxg/79+wNoBDpWVlbExcWxdu1aNmzYQGxsbLGPL3y46tWr8/zzz+Pn56cJdIufrays2Lp1K7NmzcojliwrLly4wIEDB5TrUFc3fOSRR7C1tZXBxgpEjDMigUctoImLiyu2IKGkAt3Y2FiLCHQLuy71/+I81apVo0ePHkoAfPny5axZs0YGw+8zbGxs6NatGz/++CPNmzfXFMZSF9xS+wTiZ/Ump7rq6aRJk5g/f77ynMLsSMzdwtdVJxNB2SQwScqOggS6YoPZkgLdnj17SoGupNzIb80sxkA7Oztq1qypKTYk/j377LN8//33vPHGG/To0YNmzZrh4OAA3EkcNk+iFDYtvi/mm+BibS66BInniE301q1b88svv2iKeEnKh9zcXCZPnszp06exsbEhNzdXM4eK+LNOpyMxMZGbN2+yY8cOlixZwpw5c3jssccYPnw4c+fO5YsvvuDo0aNEREQohdzymxNL4j9Kga6kMMSawcvLi+bNm2sKBgj7+O677zQdIOCOLfbv3585c+awdu1apkyZohR/UyeJCcT+jBjDoqOj+euvv3jmmWeYPXs2P/zwA7m5uUXuKlASxDrM09OTGTNmAHIdVNEU1NFMHU8pC2GuQAh0586dm69AV520tmTJEsLCwix2bsn9gxhrBwwYQKdOnTSCMvG3s2fPsnXrVjIzM4Hyj3urOwh99tln3Lx5U/ku6HQ6TXzTzs5OjptVgLIQTajjmfPmzWPkyJEFCnSvXLnCwoUL2bVrF2lpaRZ7X+Hh4ZpicXB7LPfz8wPk3nt5UJj4sSyLa4j77ePjA9y51+q9crGHWBGoY1Xjx49nwYIFgPQ1y5PCROOl9S9F3KZhw4aafDjxN3WxIUujznvr2bOnspcOd2Lxer1eEeeW1b6TpPywsrLCw8ND2csU45+IHRZWWL2oSIGupLRUlED3bh1z1WO9FObeOyxfvpz33nuPrKwsZU5Wr0HEPff396djx46MHDmS0aNHM3jwYHx8fPD09NR00jUYDDRs2JCZM2fSoEGDYl+P2u8bN25cmQh0pTC3arBixQrefvttoqKilLlUna8m1q0Gg0ER3or7CHf2DYVvl5ubS/PmzXnzzTfx8PAo8XXlJ9AVxbVLK9CVtimRSCSWw+buT5FIJJLCEYsP4Tyad9SJjIzE398ff39/hg4dCkBsbCwmk0npGHn16lXOnz9PWloakZGRmi6owqkVTp76MUBxZqUDeG+g3mwpCDs7O0DbXUx0sIC8QkVLCHPhdvXoQYMG8ffffyuJlGIz6saNG0W+fknVR9hYTEwM3333HSdPnuTq1asA1KhRg+effx43NzeNPdja2jJkyBDOnDmjjFdiI+XAgQMMHTpUEyAqrTBXjY2NDc7OzoC26qulqltLKhfCHho1aoSXlxdpaWlKgoVOpyM2NpZVq1bRpUuXYnU4FWNp3bp1qVu3Lv/8849i9+K86kR2dXVrtUhXr9dz9OhRjhw5wq5du2jSpAlTpkyhTp06ODs7yzG0EiLGsp49eyrVKvfu3auMP8I24uPj+fXXXwEYPXo0NWvWLNZ5xL3v2LEjQ4YM4ddffyU5OVlTDdPa2horKyu2bdtGbm4u7777rrIpVBZkZmby119/ERgYCGg35J977jk6duxYZueWFA3h61evXh24I3YRY1JBHe0Lw1ygKzC3e/Hc48ePM3v2bD799FNq1qxZpLm5tOR3fHHNwp9QJ2FK7n1MJhN169Zl5cqVLF68mBMnTnDp0iVNVWkxT6t9VPG/eF7btm0ZPHgwEyZMAIrma4pj1KtXD0CzMZWenk5KSgo1atSw/JuWlBlqge6CBQsICgrSJIiJcVAIdF9//XWaN29eJD9OrKFtbGz48ccfmTp1KgcPHlTmeOFXqAW6//vf/2jatGlZv23JfYh6fGvSpAnVqlUjMzNTU9jq4MGDTJ8+nT59+jBp0iR0Oh3BwcHcvHmTsLAwTp8+TUpKCpcuXSIjI0PxPdRiTnX3afNEDrhTbESv19OyZUtWrlyJvb29puq1pOwxGAw88cQTXLp0SekYal5ESsxv4p6qEzKsra1JTU0lOTmZP/74A7hdiMDe3p6AgACaNm2Kr68v3bt3p1q1ajRq1Ai4Y4fqLvZF8eGEQPett94iJCREc11irF2zZg1wO6GoJElJkqqLsIdnnnmGgwcPEhwcrNgHQHx8PMePH6dhw4bK3K4eE00mEy1atKBRo0ZMnz6dH374gTNnznD69GnFb1Svi+BOkTYR+9m+fTvbt2/nn3/+oXPnzgwdOpRmzZopz7fk3o25vyrXQRWHpTualRQh0AVYsGABt27dUtZEYn7V6/Vs2bIFgJdeeok6depY/Dok9zZi/Bw/fjxXr14lOjpaU1DaYDCwatUq6taty4QJE/Ksx8sacZ4///yTkydPKjFWuDNPjBw5km7dupXL9Ugsg7loAmDTpk0kJCRo1tNGo1ERTQCKUCc/GxT2am1tzYIFC8jJyWHz5s2aY4nnBQcH88UXX5CYmMhDDz2El5dXqd4L3M4lgTt7SXq9HisrK6WbpaRsqYiOueaIgn/mgnCDwaAUx6ooxDWZCzclZY/Y3wgJCWHChAl5ROOWKvzi6uqaR7RgNBqJjo4mOTkZNzc3i70nNSIWNHToUFauXElcXJymYEJubi7r1q1j1KhRSrdVSdVF2KW6c6666N+RI0eYMWMGNjY2pRpjhEAXUEST6r18tUAXbjdbKW8fVVK5KQtfszDuJsyVHXPvTX7++WdNPqR6L0Wv1+Po6EiDBg0YPnw4Dz74YJ495tjYWG7dusWSJUs4d+4ccXFx+Pj4MGnSJDp16lTiPA11bH7cuHEArF27lmvXrmk6h5oLdL/44gsaNGhQqF1K8WPVYNmyZXzyySeAtrC5sE0RQx82bBhNmjShV69eyvr16tWrBAYG8t9//xEeHq6MXXXr1mXatGlK47PSIAS6c+bMISsrK99Y59atWwGYMmUKLVu2vOs8X5htSl2GRCKRFB+Z2SGR3CNUhkBJo0aN8PPzIyYmRpOUcfbsWaKiovD19VUeE2KNhx56SHnMaDSSlZXFmTNnSEhI4OTJk4SGhnLr1i2uX7+OlZWVUhlTLMrUCWoGg0E6gFUU8+TwjIwMsrOzMRqNitBCTcOGDXFzcyMjI0Op2m8ymfj33395+umnNVWGLCXMFQEhURVLLMiFrV+6dEkj0pDcu6iDg8899xzBwcHKhrGtrS1xcXH8+OOPvPLKK3lEDwEBAZoENhG0uXjxIt988w2ffvopOp2OpUuX8umnnwKlF+aaTCZcXFxwc3PTXI+wV4PBUC4iIkn5U79+fSZMmMB7772nbFTC7fHr8OHD7Nq1S0lSKy5z585lz549AHk2QEV3IREEUgcoxXWIMfTKlStcuXKFf//9l969e9OzZ0+GDRuGlZWVJiFEUrGog3Xdu3dXHi8LgS6Au7s7o0aNIjY2lh07dpCRkaFsUqs3fXbu3ElGRgbPP/88LVu2xN7e3uI+8YoVK/jll18AbRJKhw4dlG6qkspB7dq1gTs+mrCDS5cuMWjQoGKvDaqCQNcc8/cnfdL7CyG2cHZ25tVXXyUkJIS//vqL7du3ExERoYxf6qQPgbOzMy4uLkyfPp2OHTsqIsii2rH4roi1lcDKygo3NzeZTFlFKUigq96ctoRAd9myZUybNo0DBw5Iga6kQvHw8MDZ2ZnU1FTlMdEdVa/XY2dnp4geGzRooAgdRcJbeHg4OTk5XLlyhcuXLxMdHc2JEyfIzs7m1q1bgFawK9ZKYv7W6/W0atWKVatWSWFuBXHp0iVlDMvJyckzB6pjKuadkMX/IjFHHXdJT0/nwoULXLhwAbid4GEwGGjTpg01a9akffv2NGvWjJo1a1K7du18K5kXNCd36NBBGSOlQFeiRtipk5MTXbp0ITg4WDP2pKens3r1ah599FFcXFzyrKXVxQY9PT154403iI2N5d9//2XDhg2Eh4eTlpam2Jl6fSQSkgQXL17k4sWLrFu3jhEjRtC6dWuGDRum/F3Gfu4dKlLUkx9SoCspa8TY1aJFC5o2bUp0dLRiV+q5eMGCBVSvXp1BgwaVu/ghLCyMHTt2kJCQAJCnsIgsPFg1KWuB7ieffIJOp+Ovv/7KU4xViDh/+OEHIiIiGDt2LHXq1CmxXYeGhird+8ScYDKZ6Nu3LwEBASX9iCRFpLCOuVB+c/ihQ4eU4wpbysnJAW7vF1U0Ms5eMeh0OhISEpgyZQpxcXHY29srhcctYZviuWIfU4yDYrxLSkoiIyOjzMS5cHst5O3tzaRJk1i8eLGmA6CNjQ3x8fGsWLGCl19+WenMJqmaCLvs3bs3y5YtU7o/q+3NUmOrFOhKSkt5CXSlMPf+ZP369Xz44YdA/sJcNzc3pk6dSp8+fWjSpInyutzcXGxtbTGZTNSsWZOaNWvyzTff8Mcff3Dw4EFq1arFgAEDcHJyKtX1lYVAVwpzqwarV69WhLn52aaLiwsDBw7kkUceoXfv3nle36BBAx555BGGDRtGYGAg8+fPx9XVlbFjx9K7d2+lGVVpyU+gq9frSyTQvZswV9i7tE2JRCIpOjK7QyKpQggHKT9HSd1xoaKCJg4ODlSrVo3IyEhNwDAnJ4eEhASNONccseB2cnJSKvQOHjwYgLS0NMLCwkhLS+PEiRPExsZy5coVbty4QXZ2NpmZmQAMGjRIOoBVEPW9CgkJISQkhGXLlpGRkUH//v157rnn8iTouLq64uDgoOmmZ2Njw61bt9i6dStjxoxRFknW1talFubCnU32rl278sMPMR6kCgABAABJREFUP5CTk5Pn+dLm7n1ERajIyEgmTZpEZGSk0gUH7nQcu3DhArm5uXkW1t26dWP48OFs3LhR003CYDCwdetWqlevTt26dS0mzIXb9hkfH690JRePwe3OaLKL2b2J8AO6detG48aNCQoKUuZmk8lEWloap06dKrI4Vz1Wv/XWW0oXIJEsLmx/ypQpBAQE8O233ypJ7HCn+q9aFK7uppuZmanpqNKiRQsmT56Mg4NDqYOnEstQXIHu+vXrgZILdP39/Xn66adJSkri0KFD5OTkKGOXuoPuoUOHSEpKYtSoUTz00EN4enqWOLHX3H/++eef+fzzzwEU/0Gn0+Hi4sKgQYNo3bp1sc8hKTvq16+Pm5sbKSkpSqdluO1fQsn8tJIKdBctWoS3t7dMMpeUO2Lzzs7OjsaNGzNnzhxGjx5NREQE+/btIzw8nNTUVBISEnB0dKRevXp4enrSv39/atWqpVmzC7+3OAQFBQF3EulMJhNubm6VIolOUjIK66BrSYHujz/+KAW69xF3i9lVRExPzNne3t5ER0dr5vgbN25w8uRJevXqlUcsq15j165dW+lgP2jQIABSU1MxGo0EBgYSERHBlStXOH/+PNnZ2YqQUqyZWrduLTvmVjDNmjXjtddeY+nSpRw8eFCxC+FXmnc6Fj+L/9VddtUiRbUIxsrKSilIeOrUKSUeBODm5kbLli3x8vKid+/eeHh40KRJEzw9PfPMyerkiI4dO0qBriRfdDodDg4ODBs2jHXr1imiWRFLv3btGkuXLmXmzJkFjrvqNVHNmjUZN24c3bt3Jzg4mCVLlhAVFUVKSoqmOJs6/qSO/WRlZbFu3TrWrFnDP//8Q/v27Rk5cqSmOKdMBq66VLSopyCkQFdS1phMJqpXr87zzz/PgQMHNEUr1Tb22muvYWtrWy7iB/Wxf/31V3bv3g2gSfg1mUw89NBDmmIJkqpFWQl0hd1+/PHH2Nra8vvvv2ueI3zQmJgYNmzYQFBQEC+//DItW7Ys1vWL858/f56YmBjlMfGvcePGJf1oJEWkojvmqm0wLCxMeQxu27fBYKBevXp4eHjI3J/7mISEBNq2bUtqaippaWlKXoYlbFM8t379+hqhDdzJDUpPT7fgu8mLOE/r1q2xtbXViCjFezx9+jTZ2dmKIEmul6o27u7uyv1V55nFxcVx/fp1mjdvbpHzSIGupLSUtUBX5G1KYe79xd69e/nmm28ANHF30QDCy8uLTz75hA4dOij5lsKWRJEKYVfCFkaMGEGPHj1wcnKiWrVqFrlOSwp0ZVfSqsGWLVsK7ebs6enJm2++SefOnfH29gZQ8sfM89iaNWtGs2bNaNOmDceOHVOKY1qSggS66j2huwl0pWhcIpFIygaZ4SGRVBHUjlFubi7Xr18nMjKS4OBgTCYTzs7ONG7cGDc3Nxo3bpzH6StrxHnq16/PlStXlAWUwWAgLS2NkydP0qJFiwJfn981imO6uLgoAajOnTsDkJ2dTXp6OgkJCZw6dQqAJ554ApAOYFVCfa+2bNnCr7/+yrlz55QOyUajkenTp2uqQBqNRtzc3Bg4cCCrVq1SNmdEBaCdO3cyaNAgJXHNEsJcNfb29uTm5mq6Q+t0OotVN5JUbnQ6Henp6Xz88cdERkYqC1rzzqGHDh3i77//1iQ2qMWSu3btIj09XVnEiuOsWLFCeb4lhLninFlZWZoAkcDLy8tCn4yksiHGsvr169OuXTuuXr2qPCbm6F9++YUHHnjgrtXxzYW5IhnDXJj76quvMnXqVAAeeOABdu3axZ49e9i3bx+AEkQXwlxhn+bfoYMHD3Lw4EGWL1/O4sWLGTBggIU/HUlJKY5ANy4urtQC3fr16zNr1iyys7M5deoU2dnZii2KxF+dTqd0Hz9w4ACvvfYadevWVY5RVL9QPa5GRkayfv16vvvuO+DOeAwo47EIwstNysqD6LitTgAHiIuLA0p+r0oi0J0zZ44U6EoqDPNNSX9/f/z9/ZUiWECBoi/196Q43xfx3JSUFOV3sU7z8/PTdD6XVD2kQFdiCdTji5WVFQkJCURERBASEoK9vT0Gg4GmTZtSvXp1TUeS8vK1RMHAJk2acObMGU1ihclkUvwJc/LrMimu2Wg04uzsjJWVFX369FGel5ubS3Z2NpcuXSI1NZVz586RlJTE66+/LoW5FYhIhOncubNy/w8dOqQR6OZXHNPe3p6srCzlb2LNq+76BXe666o7QYn/xVo4JSWFgwcPArB582aMRiMBAQG4u7vTtGlT2rdvj4+PDx06dMBoNGripR07dmT+/Pm88847hIaGSoGuRMFkMtG6dWvGjBnD2rVrlceFTZ4/f56cnBwcHBwKHHPNbb9evXrUq1ePrl27smfPHg4cOMCmTZs06yL1+YUtijU83F5P7d27l3Xr1jFy5Ejat29Pt27dyn1fS2IZ8hPmmifTVoQwVyAFupKyRPh9rVq14vXXX+ejjz7SdBQX45ler2fu3LmYTCYefPDBMhM/qI+5fPlyli1bBmiTS00mE82bN+fFF18E5L56VaYsRBPq4tcLFizA0dFRKfKhXiNZWVmRmprKgQMHOH/+PO+//z69evXC3t4euPtcrtPpuHbtGh9//DFpaWnKeYXvMmnSJEDG38sKtTB3/PjxeYS5avHj66+/XiZzuLivf/75J3v37tU8Jsarrl274unpaZHzSaomDRs25JlnnsHZ2ZktW7YoeURgOf/SyckpT+6P0WgkOTmZsLAwGjZsWKr3UBQ6d+7MqFGjWLFihRJ/EOP3qVOnWLFiBc8995wcD6s4JpOJOnXq0LFjRw4dOqTYmsFgICUlhfDwcIuJc0EKdCWlpywFuqLg+6RJk6Qw9z4hODiYX3/9VdlrEXOvyOGtUaMGP/74o6ZbLhS8X60uEijEkpbEXKCr0+lYs2bNXQW6ixcvpmHDhsr4LopryK6klZcTJ06wfPlyJR/NXJjr5eXFN998k6d5g/k9Uq9/jUYjzZs3p0mTJmUW485PoGse6yxIoCv2jaRoXCKRSCyPzPKQSCo55snly5cv5/jx4+zZsyff5zs6OtKvXz86duxYJlVXCkI4kY0aNWLbtm3KAko4rImJiSU+phrxedjY2ODp6Ymnp6cmGCodwKqDWGTC7c50H374ofI3kYR45coVNmzYwNixY5V7L14jKvCKiv8icHnkyBE+//xz3nvvPbKzsy0qzIXbXSxEVzYhKBMLavWiW3LvEh8fz6VLlwDyFea2bt2aBg0a0KZNG83rhH0NGjSITZs2cfDgQWUxKxLU1FW1SivMVZ9z7dq1xMfHa2zTxcWFRx99FJCb2/cqYk6cNm0aR44cITQ0VJOcazKZ2L17N+3atdOMr/kdA2Du3LkFdsydM2eOIszNycmhZs2ajB07lrFjx7JhwwbOnj3L+vXrlecL21eLxUWASFRh69+/vxTmljPqsaAgn6q4At1ff/0VKJlA12Qy0aRJE+bOncuSJUs4dOgQaWlpmkR3tQBz165dnDhxgpdeeom2bdvSokWLPBUpzd+ruFYxrm7cuJGdO3eya9cu4E7HXPGZDB06lLlz5wIyWbiy4e3tTYMGDUhMTNR0arpy5QpRUVF4e3uXeK6TAl1JVcR8DFfboVrInl8XwJIQGBjIjh07NOeD2wU7ZCGjqk95CnSnTp2qrJXUm+tSoFs1MY9r7tq1i8OHD/PPP/+QkZFBRkaG8lx3d3fs7Ox47LHHaNOmjZIQBmUf7xPX6ezsrPld2PbZs2cZMWJEkYSzahGy+fFFMoatrS2dOnUCoF+/fsrzpDC34lDfty5duiiPqwW6an9Pp9Ph4eGh2OnJkyeVbk8ikUw8V4h71XEfuJOAJGJL6gIZ4rnh4eGEhIQQGBjIunXrAKhXrx6urq706tULPz8/mjZtir+/P126dOGrr77ipZde4ubNm+Tk5ABIge59jrCrtm3bsmbNGk3s2mQycfDgQf744w+efPLJu87b6r8bDAYltvjoo49y48YNzp49qxxXPQaKtTdo/QYbGxsiIyP59ttv0ev1PPHEE7Rp04YRI0bI9VMVorILcwWFCXTV46QU6EpKgrDpvn37cv78eTZv3qzpKC7sPjU1lZdffpmPP/6YIUOGlMmejDjmqlWr8u36Ijr9Dho0CF9fX831S6omZdVBV/jA//vf//D09GTdunXExsYqe+3Cr7WysiIpKYkXXniBcePG0b17d/r376/M5eYFOgAyMzO5dOkSs2fPJiYmRiPMdXV1ZeDAgYrIV+5dlg1WVlbExsYyfPhwMjIysLe3Jzs7G9B+5uPGjWPKlClA2czh169fZ/v27ZpCf+JnT09PHnzwQUDuY9+viPvepEkTxo8fj5WVFRs2bMBoNFrUv/T396dGjRokJiYqY5GYw8X3oiwR19+7d2/+/vtvEhISlP0tMZYeOHCAoUOHUqtWrTK/HknZIcaxWrVqaXIkxFokKioKsOyYJwW6ktJSlgJdUeA3KSmJjIwMJR9YCnPvLcS9O378OEeOHNGsldXix1WrVlG3bt1i3euyHqfUAt0nn3wS4K4C3ZdfflkR6IrXT5o0SQpzKykpKSn8888/BAUFaR4XtlmjRg3FNoszN4p7WNYx7pJ20C1MmCttUyKRSEqHzPSQSCoxwqFJT0/nxIkTrFmzhv/++09x8uzs7JTgoNgkyczMZOvWrWzfvp01a9bwxhtv0KxZs3KrKOnh4QGgCSQBnDp1Slk8lybJTLz3ghxX6QBWHcS9/PXXXxVhrrqStEjaOXXqFGPHjs2zuHn00Uf5+++/2bdvn2Jv4nvw22+/YW9vz5UrVywqzIXblbwSEhI0SXtGo1FT2V9yb7N//35CQ0PzBIsApk2bxogRI6hfv36+rxWL33nz5jF9+nRCQ0MVuxdJaurujCaTiREjRrBw4ULl9cVduF++fJkzZ84ov4vrdXFxwd/fH5Cb2/cqYk708PCgWbNmir0ZDAbF5v755x+eeuopvLy88gSSiiPMVQfFhQBHvP7xxx/n8ccfZ+jQoWzatIljx44REhKibOyoK7GL65IBnvJH3IO0tDRcXFw0gWZziiPQjY+PL7FAV5ynUaNGvPLKK7i5ubF7925u3bqVR+Atkt6Tk5P58MMP8fPz49FHH6V37960atUqj/+pnscjIyO5ceMGy5cv58yZM6SlpQF5E9cGDx7MRx99pPm8JJUHGxsbqlWrpplHhQ+Yk5NT6nFECnQlVR21/eXX6bE05OTkcPjwYXJzc5WESysrK6pVq0a9evVKfXxJ5aAwga56HCytQHfZsmWaDrpwxx+UAt2qhboIwKVLl/jzzz9ZsWKFsiaxtbXVzM9paWno9Xp++uknDAYDw4cP5+GHH6ZHjx6aNUNZIOxU7TeKDWy4HQuCksc07xbPFEhhbuWgMIGuen2QmZlJdHQ0S5Yswc7OjosXLxIfH8+RI0dISEjg2LFjpKSkKOsLkdwgfFRzka7wY8W6WMRG1QJfnU5HaGgoRqNRifVUq1YNDw8PateuzUMPPUSrVq1ITExUYqDqSuhSoHv/8thjj7F9+3Z27dql2JWwiW3bttGnT59iJXqr5/e3335bEeYCmkRKQBP7Ua+r1Ml4AOvXr2fDhg389ttvDB06lA4dOtC4cWPlOHJNVfkoT2Gu+rXCbyxuwrgU6ErKGn9/f4YMGcLly5e5evWqZr5XfzfmzJlDcnIyI0aMwNHRUfl7Sdfn6teaTCaWLl3KZ599Bmjjm2IM7tixI8OHD1fEj5KqT1kLdJ977jm8vLzYuHEjp0+fVsZMsdckbHv16tVs2rSJgQMHMmDAANq1a4eTkxMODg4YjUays7M5efIkhw4dYtOmTZpxWOxdNmnShKFDh8pCb+VAZGQkTZs25dSpU2RnZyv3XJ3ns2PHDgYNGkSHDh0svk9nMpnYt28fBw8eVPZ61AWx69atqxTClvvY9yfq+960aVOefPJJ0tLSaNeuHRMmTAAss4dcrVo1nJ2diYuLy5MDJLr7lSXi+rt27Urjxo05dOiQpgiCXq/n1KlThIeHS3FuFUfYa8eOHVm/fr0y3glf7ciRI0yYMMHi614p0JWUlrLwNU0mE97e3nz88ce89957HDx4EL1eL4W59yBWVlaEh4ezePFizfgjxkBPT0++/vpr6tatWyljfyUR6M6cOZNly5bh4+OTR5gr3rsUP1Ys4rO+ePEiGzduJDc3N49tenl5sXTp0kprm4LidNCdMGECbdu2BcgjzJW2KZFIJJZBZntIJJUU4dDcunWLn376id27d3P9+nUlydVkMinV7+FO8o46SSgoKIjXX3+d4cOHM2zYsHJJtmnVqhWOjo7k5OQoGzIA0dHRymJcIhFcvnyZn3/+GdBuEKvFjps3b+bJJ5+kXbt2mtfqdDo6duzI/v37FbtXJ1CsWrVKOa6lhLkAsbGxmk4W4jrr1q1b7GNJqiZi7BVdTYQNzJ49m+nTpyvPy29hKhbqvr6+TJkyhSVLlnDr1q08HXWEbXbq1EkR5ubk5JRoM3rLli2cPn1auWZxvU8//bQUS9wnuLi4MHnyZHbu3Kl0GxfJQJGRkXz//fe88cYbmkCS2n7feuutIgtz1bZsbtcdOnSgefPmZGZm8s0333Dp0iVOnjypHEskZsoAT/kjAomRkZE89dRTDBkyhBdeeKHSCHQBAgICeP7552nYsCFr164lJCREsVkxZorz5ubmEhoayldffcW6deuoVauWktRbrVo1PD09SUxM5OrVq8TGxvLPP/+Qm5tLamqqckzhT4j3OXr0aObPnw/IjmaVEWFrfn5+wJ1NEoDs7GwuXrxY7Eqr+VFUga54jhToSqo6d/vOiL9fuHCBVatWaTauTCYTvXr1UjpDSu4NChLoiu4mlhLo/vjjj0yfPl1Z78sOulUPdXLXmjVr2L59O8ePH1f+Ltam6riMWKsIe9m4cSPnzp3j+PHjvPTSS0qRwrKcS2vWrKkpngW3bVMIHW1tbcvs3JLyIzc3l3/++afQjnV366ArxLn//fcfzz//PB999BHNmzcHoHfv3gDEx8eTnZ1NYGAgly9fJigoiDNnzmAymUhKStKcT8RC1RXK4c5ax1zoKOLser2ezMxMUlNTCQsL49ChQzg5OSndJuCOD3s3ga5Murx3EWPywIEDOXToELm5uUosHeDChQuEhoYq3XvuZgfmMaPff/8dyBszGjx4MEajkW3btimPqYsaqWOg6rlefGdsbGyYOnUqLVq0oHfv3nItVckoT2Guuhvzzp07CQ8PZ9SoUbi4uFhUoKtOWpMCXUlxEbbYq1cv4uPjWbx4MTExMZrnqOfi9957jxs3bvDYY4/RunVrJTZe3LFO/ZoLFy6wceNGzf6oENqJ8zZq1Ig5c+ZQvXp1y7xxSaWhrAS64rVPPPEE/v7+/PXXX2zcuFEZM4VPIfbq09PT2bhxI1u3bsXV1RVfX19cXV1JT08nKyuLy5cvK9dhLsz19/fn/fffL9b+gaTktGnThldeeYWlS5fy33//ae6jEMnGxcUxc+ZMFi9eTMeOHS1yXmFTBw4c4IsvviAnJ0exBbHG8fLy4u2338bJyUnuE0oUmjZtqnTzBsvsIYt9QCcnJ0C7fga4ceNG6S66EMznfRsbG5577jkuXbpEYmKiEh8AeOihh+jatWuZXYukfBD22rRpU2xtbcnNzdXMvSkpKWW27pUCXUlpsbSvKYoS+vn58fbbb7Nw4UJ2794NwKuvvsrUqVMBmS90L5CTk8PKlStJSkrSFO8TTUXeeust2rRpo+kYb2kKs6Oi2FhxBbrBwcFMnToVR0dHzp8/r4n5S/Fj5cDKyoqkpCQ+/vhj0tPT86xH3NzcWLRoEU2bNlXyzsuDks67BXXQNRfo2tnZYWVlxSeffCKFuRKJRFJGyIxiiaQSIhya6Oho3n33XY4dO0ZaWpoiBBOLFMgrBBR/E4G8+Ph41q5dS1RUFNOmTSvzpEXRaU0EK+F2EDEpKYmYmBh8fX3L9PySqsX169cJDw8HyCPMdXV1pW/fvnTv3p1WrVrlea2VlRUTJ07kn3/+4eLFi5oNQHWFaLHZbQlhbnR0NGvXrlUWy+K72qhRI40wSXLvkF8yhOh4IhakcFtsJoS56qTxgrC1taVv375cunSJzZs3k5GRoUlCE8dJT0/nzz//ZNiwYSVKRP7555/58ccfAW3XCvHdktwfmEwmmjVrxiOPPMKWLVuUQLcYd8+dO8etW7eURHS4szlUWJJlcapVCrt2cHDA0dGR//3vf8THx7Nr1y5+//13QkJCSElJYdiwYUo3dRngKR/UwtyxY8cSExPDypUrsbe3Z/r06cUS6Ir7XJhAVwhdvb29i32tPj4+jBo1ipYtW/Lxxx/n6Qqu9gOEP5qYmEh8fLzmuWrhpvr1auG6sHNXV1cef/xxXn31VeXzksLcyoewz2bNmil2qU6gEP6mJcYU2UFXcq+i9kODg4Px9fW9awKc2GB85ZVXNEntJpOJevXqMWbMGEDO6fcaQqA7d+5cFi5cSFBQkHJ/LSnQXbp0qUagC7KDblVBndD7wQcfsH37dqXTiLowmzouo+6yq9frlddfu3aNmzdvEhUVxcKFC7G3ty/TudTLywtXV1dSU1OV+Vyv13Pt2jWCgoIU8aWk6qLX6xk1ahTJyck89NBDhRZBu5tAV7B//35ee+01Fi1ahLu7uyLk9vT0xMrKilq1ajF48GDgtmA3OTmZI0eOcOvWLY4fP05MTAyxsbGa7hAiEULsB5ivX4SvK/YBxGsMBgOZmZmaMdf8+6UW6Op0Op588kkaNGggky3vYcQ83bdvX7799ltCQ0MVO7axsSEjI4PPP/+c5s2b4+7uXuix1H7d3LlzCyzmJkSZRqORIUOG8Ndff3H69Gml8KW6m65apCuS2PR6PVlZWXz11VfY2dnRokUL3n//fQICAsrgE5IUl/yEuaCNP1tSmCvGpz///JM33ngDPz8/7OzsGDZsGM7OzlKgK6kUiPnaysqK4cOHk5GRwSeffEJWVhZwJx5pXmT44sWL9OzZk+eeey7Puqcw1B0mTSYTP/30E/v27ePIkSOA1u8W56tZsyZffPEF/v7+ZfhJSCqSshDoqvcuu3XrRkBAAE2bNuWDDz5QxnxxTOG7wm07jo+PJz4+XjmWOr9F+K5i3vf09OS7775TimFLyhZ1fFv4YWqBrnq8io+P5+WXX7aIQFcc/8yZM7z88stkZmZqRBoGgwEnJyfGjBlDQECApkCH5P5G2KwQ5lrKNqytrdHpdDRp0oSLFy/mKXIl5nFLI3xOk8nEkSNH6Ny5M9bW1vj4+ODn50diYiKAFEfcgxiNRtzc3PD29iYiIkKxNbhdaCU4OJh69eqVyX2WAl1JabG0ryme6+fnx5tvvklycjL9+/e3SCxBUnnIzs5WGoqY55M/9thjSpHnshhn1Hapvh6R92tra5vHxgoa80oi0IU7BY+k+LHyID7vEydOEBkZqaxJxXrE0dGRGTNm0L59e8AyOUaFXYea/GyvqPNwYR10xfp748aN7Nu3T4mFStG4RCKRWB6ZVSyRVDKEQxMREcELL7zA5cuXgTsdGtWOvkhcEH9Xb3wIZ8na2pq0tDR27dqFvb09M2bMKLNNZJPJhIeHB35+fly7dk3ZiNTr9SQnJ3Pp0iUpzq2iWNrRFsf7+++/NZV1hTDXy8uLTz75hBYtWuDq6prvMQwGAw4ODrzzzju8/PLLREdH5+lWJv4JYe6yZcvo0aNHiYS5ACdPniQ2NlbzHgwGA/Xr16dGjRql+EQklRF1wu+iRYvw9fVl3LhxyhgqOvrY2dnRrVs3oHgVrHx8fBg/fjxRUVEcPnyY3NxcJVgjuHjxIp999hnR0dE888wzmi6R5oFw9fWmpKSwZs0aFi9eDNzpIK3T6XBzc2PgwIEyme0+QqfTYW9vT+fOndm8ebOS8AC3bSkwMJBNmzYxffp0TfJEYUmWxRHmml+LsFsvLy9Gjx5Nz549iYiIYP/+/cyZM6fYx5SUnPyEuba2tiQnJ/Ptt99iZWXF1KlT7yq8VifnCAoS6K5fvx6gxAJdJycnOnTowOrVq/nwww85fPgwwcHByrnUokzhi4pkH+EjiAC8+C6oiy0IXwSgS5cuPPzww4wdO1bzeUkqL9WqVdPMo+I+R0REAJYbW6RAV1LZUdt6Ue1ezP/bt2/nvffeo3379rz++utKR2pz/zMhIYFz584xb948oqOjNYm/tra29OjRQxFMyjn93kMIdD/55BNmzJihrJPVxeLKQqCrjolJgW7lRB3bmTVrFrt27dIUABLztNrnEj+r45rqpLDMzEy2bt2KtbU177//PnZ2dmW2Xqhbty4+Pj6arqbC9lJSUix+Pkn5kpuby8SJE7l8+TJNmjQp0phUFIGuTqfjwIEDir/n7u6u8ffU9uzl5YWXl5fSrTYjIwOj0cj169e5fPkyYWFhHDx4kLS0NKXAjEAkUOTXXVct0lU/Zt6BVzxPjLXr1q0jOTmZl19+mdq1a5f0o5VUAYxGI+7u7syYMYP58+eTnZ2t6VoeHR3NmTNn6NOnT4HrFfOOuYXFjEQipclkon///nTq1InExESWLFlCcHAwly5d0swDYg2v7hZta2urCM7d3NxkLLOSYC7MFXsv5SXMBYiMjGTVqlWYTCaGDx9eaoHuwoULiY+Pz7cD5JYtWzCZTMycOVMKdCV3Rb1eGTduHFlZWXz77bekpaVp/AG1jZ06dYpTp05x5MgRnnjiCdq3b6+swwX57WnqdDrCw8O5evUqy5Yt49SpU8rf1OtzkWRavXp1li9fTv369cvhk5BUJGUh0FXHg3x9fZk0aRJNmjTh+++/5/Lly0qHR3UhJrVwV12IQ11YUcTlGzRowJdffqn4yJKyR31P1YJb8w66lhToiuNeuXKFqVOnKh2qRCK8sM927drx4IMP4uDgYKm3K6mkFHd/ubDfS4o4jihSpF7nw+3Crzk5OVhZWVmscK9amDt27FgSEhKYOXMmDz/8MLVr12by5Mm8+uqr6PV6hg4dykcffaRcm4yzV32srKzw9vamZcuWREREaIRc2dnZJCUllel9lgJdSWkpK4FurVq1+Pbbb3FxcQHkmHcvsXXrVs6dO6fJ4xV5OgMHDqRmzZoWPZ/axqysrLh58yYXL17kyJEjxMXFcf36dQwGA9WqVcPDw4P69eszYMAAAgICqF69eqFjXnEEugIpfqx8iM/7n3/+ISkpSbFLsVfZsmVL+vTpU2hh15Jgfq9NJhM5OTlcvXqVxMREUlJSSEtLIyAgABcXF5o1a6bkJheVgjroqveEEhISFFuWonGJRCKxPFKcK5FUIoRDEx4ezlNPPUV4eLjitIvEchEMtLOzo3r16jg6OpKcnExaWhoZGRkAikMvnm9lZUVmZib//vsvfn5+TJo0SVnMWhIh+vLz8yMoKEh5XGzG3Lp1S7k+GbSpOkRFRZGcnEzTpk0tdu/UojBAUxnXy8uLlStXUq9ePeX5+Z1XJAg1atSIJ598kh9//JGUlJQ8xxb/z5gxgx49eijnK2rwXJw7JiaG5cuXEx8fr+kK5Ofnx0svvaTpaCGp+qiT0N5++21+++03fHx8qFmzJu3atcPe3p7s7GwAPDw8lETN4t7/Ro0a8dJLL5Gens6ZM2eUhDgx7huNRmJjY1m8eDGXL19m7NixtGjRQhnD1ecT17tjxw727NnDxo0bAZTNHUBJWBo5cqTyu7TZex9xn0eNGsXOnTv577//lKR3EXzZunUrffv2pVGjRsDdkyxLIswVqLtD63Q6atWqRa1atZTvkQzwlA8FCXNFQmxOTg5ffPEFmZmZvPDCC4Ueq7wFumIe/9///sfBgwfZs2ePkpQpOv+oxbniNeIaRbKHWpQrfG1h51OmTOGRRx6hdevWms9LUrlp0qQJbm5uZGRkoNfrlft7/vx5cnNzLXoPpUBXUlkRtpWQkIC1tTVubm5FnlsPHz7M22+/TUpKCjt27ODUqVMMGjSIzp0707RpU7y8vIiLi+PcuXPs3r2b/fv3k5ycnKfYUuPGjXnqqafKJO4gqXiEPdna2nLhwgViYmI0fy9rga66u44U6FYu1OPAjBkzOHjwoDL2qBNuxXrXwcEBe3t7dDodSUlJms5eat8Nbq8ddu3ahY+PDy+99JLFEiLViHlbJACLNTncFnWeOnWKrl27yvVKFUUIc0+fPo2trS0RERGEhYVRv379u45LpRXoCnsxT7zQ6XQ4ODhgZWVF69atlbXHSy+9pIyfsbGxHDt2jJCQEG7dusXNmzfzFOxUdx5TixvF380R6yAR27px4wY+Pj4l/GQlVQVhf02bNqV69epERkYqdmMymYiLi+Ovv/6iT58+RRLm/v7778DdY0biWNWqVcPV1ZUPPviAqKgotm7dyl9//UVkZCTZ2dnK90nYsHp/S52QLmOZFUtFd8yF23ujubm53Lhxg19//ZXs7GzGjBmDs7Nzsc9xN4GuOm4KSIGupEiok3WnTp2Ko6MjP/74I1FRUcq4KBIg1XtBx44d4/z587i4uDBq1Chq165N586dcXZ2Vrr5ZGVlkZOTw+HDh4mMjGTdunVkZmaSmpqqGUeFfyIKGDZo0IAlS5ZIYe59RFkJdNV07doVf39/zpw5w7Jly7hw4QJwp5ulunCmeFzM7+J3Pz8/OnXqxIsvvigLxVQA5SnQVQtzx40bR1pamuJLiCYEBoMBHx8fpkyZQuPGjS39diWVDDEW3bhxgz179vDUU09V6HUIH0+9DgGIi4sDKBNh7uTJkwkMDARg5cqVGAwGBg8eTM+ePfHz86Njx45SmHsPIu6laGyiLiZtNBo5d+4cHTp0KNM9RCnQlZSWshDoAsqeoqW6o0sqB9evXwfujHfi3o8fP16TW1RahO2J42/ZsoXjx4+zbds2MjMzlYYp6qL9BoOB//77j5UrV9KlSxcefPBBRo8eXehYVxSBrjrGKYW5lZMbN25w4sQJTUM0EdscPny4RQtHiTFP3Ovr169z48YNNm3aRFhYGCEhIWRlZSnPF7HP7t2707BhQ2bMmIGLiwt2dnZFmosLEuiK96cWkEvblEgkEssjxbkSSSVBODRhYWGMGzeOuLi4PAmu9vb2eHt788QTT9CpUycl6TA5OZnU1FRWrVrF2bNnuXDhgmbjGG47UikpKaxbt47+/fvTtGnTMuuGWq1aNUArvjGZTBw9epRRo0ZpkjIklZuYmBhWrFjBhQsX+OqrrwrsYlsUhC1nZGTg5OQE3LERkbzr6OjI//73P+rVq6cJNha2qHB2duahhx7i6tWr/Pvvv2RnZ2sEuuK1Bw8exN/fn8cff1zpMFHUDlKJiYnMmTOHCxcuaBYlTk5ODB06VKniJQOR9wYiMALwzjvv8NtvvwG3N1/ef/99Hn/8cXx9fQkLC1NEYKUZ01q2bMnrr7/OJ598wpkzZ5Tqq+rFucFg4J9//uHs2bPUqFGDJ554Ai8vL+rVq0dGRgaJiYlcv36d3bt3c+HCBaXLj7B1uD1Gjxgxgtdff135XS6k7w/UybmdO3dm3759mk11gGvXrhEaGkqjRo148803NeJusJww1/y68kPaZdlTkDBXr9djMpk0nU/EnH03ylOgqz5Wjx496NGjB3379mXv3r1s27ZNUxAG0PjU6kqcaqGuwWCgevXqNG/enPHjx9OnTx/lfOp5QVK58fDwwNraWrFfQBGbg+XHFynQlVQ2hE2Fh4czZcoUGjZsyAcffICHh8dd5+2zZ8/y6aefkpKSooyX8fHxrFixghUrVuDi4oKDgwNZWVmkpaUprzOPW9SsWZNFixbl6fQjuTdQJ0X8+eefvPXWW0D+Ysqy7qCrXi9JgW7FI+53bm4ukydP5uTJk8r9V8cn3d3d6dmzJw888ACNGjXC0dGRzMxMLly4wOHDh9m7d69G9K8mPT2dnTt30qlTJ3r16lUmCWFWVla0bduWwMBA5dhiLo+OjlaeI6la6PV6JkyYQGBgoGJb6enpxMbGFjnJwhIddNWoq/erMRqN2NraotPp6N27NwCPP/44RqORmJgYgoKCiI2NZf/+/UoX+6ysLE1nMnW18/w66IoEuezsbNq0acMvv/xSrFippGrTvHlzRo4cyZIlS5T1sLDH7du38/DDDzNw4EDNa0oqzFXbk7BDW1tb6tSpw7PPPsvAgQO5ceMGX375JfHx8SQmJgJ3ChAaDAYee+wxmZBeSchPmGsymcpVmCviVaLgYFBQEH/99RfDhg0rkTgXChfoCl9UCnQlxcU8WdfZ2ZmVK1dy6dKlPPv36vk6OzubjIwMvv76awBq1KiBra0trq6uWFlZKQVt1AWSxLyuLs4hjuno6EjLli1ZsGCBtNtKgDpRuzzms7IQ6JojCq8++OCD/Pbbb5w5c4atW7dq4rHqdZ2we3t7e3r27MmoUaNo06aN0rFSUv6Uh0C3MGEuoMQUdTodc+bMoWfPnoAsynIvo86NGz16NCkpKWRnZ/Pss8+W+7WI8bhu3brKY+qYoyiMYYnOaWph7sSJEzl+/Lji34o4lI2NDYMGDeLdd99VvgtyHXRvIe7lAw88wLp16/LMl6LYRVnvHUqB7r3HveRrShu7NzCZTKSlpXH48GHlMRGHNJlMSpMgS4ix1R3I9+zZw86dO9myZYtyLhsbG02OsnodLnzRgwcPcvDgQS5fvsyUKVPw9/cvNKetKB10QYofKyvR0dHKnp+6oUOLFi0YPHgwYJn1iDqH4tatW/z2229s27aNGzduaITi6v/FfvuRI0c4ePAgR44cYeDAgYwYMQI/P78i2U5BAl3Q7k1J25RIJBLLI8W5EkklQDg06s1t8wRXNzc3xo0bR9++fZUq+uK1Xl5e1KxZkzfffJMrV66wfPlytm3bhl6v11T2s7GxIS4ujvnz5/PTTz8pnSAshXDK2rVrx99//61URBWOpHlyhaRyc/PmTdavX8/WrVvJzMwkIyMDV1fXEi08hC2HhYUxa9YsxowZw6hRoxRRqwjyeXl5KYm0xbGTunXrMnnyZGJjYzl16pTSfRRQ7PDChQssXryYuLg4nn32WeXv6iC4ulup6DgdEhLCu+++y+nTp/N0x61Xrx6PPPJIiRM/JJUTcX8XLVqkiMfExkhcXBzbtm0jNjYWQBF3iaB5SRfmrVu35o033uCbb77h6NGjpKWlKd8L9eZndHQ0kZGRXLhwQZkbMjMzycnJ0XSQAjTJzCaTicGDB7Nw4UJAdoC8HxF2OWLECNatW0d4eLgSaBFBmC+++IK///6bv//+GyhbYa6k4ihMmAu377sQNr7yyivFqlZdngJdc/vr2bMn3bp1Y+rUqWzfvp0zZ85w+PBh0tLSlPemTgRSj5dt2rTBz8+PcePG4e/vr/gn6vclqfwYDAYcHByoXr06CQkJmu4jMTExXL9+nSZNmlj8vFKgK6ksqIW5Tz75JHFxcSQnJyuCxcIEutHR0XzzzTdcvnxZsxGj3pTMyMggLS1N42sKXxVu+wt+fn4sXbqUevXqlet7vx+piLHjbiIJuLOxLn5WJ4RYWqALaJI8Tpw4wYIFC3jrrbekQLecUQtzRWdSMUaIMQRuV5vu378/AwYMyHOMRo0a8dBDD3H9+nVmzpxJRESEZg4VdnT9+nW2b99Or169ykSYCyidK9TzN0BUVJSmW6mk6vDbb78pwlz1uKQu6lOUe2ppgW5B5zBHvN7X11exz+HDh2Ntbc3169eJj48nMDCQc+fOER0dzaVLl7C1tSUzM1N5f3Bn7raxsSEnJ4eWLVuyYsUK7O3tlbFWcm8jbL1///5s3ryZ0NBQjXhbr9dz+vRpBg4cqDzXEsJcgbrogZWVFQ0bNqRhw4a0b9+e06dPs3nzZvbu3Ut2djZw284/+OCDQo8pKR8qQ8dcdbxK/Ozg4MC7775L9erVS/P2pEC3ilLZhQHqvcahQ4fi7e3Ntm3b+P333xW7El2DxPpbXVDQYDBw69YtjEYjkZGRmuMKwZC624n6nCaTiYCAAB544AEmTZqEj49PRXwE9z03b95k7969dO3aFVdXV2rUqAHc8ffKY11fHgJdIdocO3YsY8eOZcyYMcTFxfHff/+RkJBAfHw8BoMBJycnatSoQefOnalbt65Fu2RJSkdRBLoiBlhcgW5hwlzzIh/vv/8+gwYNAir/GC8pOea5cSkpKQB88cUXGAwGXnjhhQq5LiG+FUJxuG2HMTExRERE0Lhx41KtR/IT5qpzAo1GI6dPnyYmJoY6depIYW4Fov7My1Ls6ObmphQ/EDF1KysrRShUHhRHoKvT6RgwYIAcmysR94uvKam6iD1mEaNW5+q4urrSo0cPzZ5icVHbT25uLpGRkbz//vtcvnyZ+Ph44I74UJxbrL3Fz3Bn7hd7WWvXriUuLo6pU6fStm3bUgl0pfix8iHsRnR0VhcCNBqN1KxZE3t7e8Ay+4DW1takpaWxdOlSjh07xunTp5W/CV9Q2KLwCdQFV62srLhy5QpRUVGcPn2auXPn0qBBgxILdIXwV4rGJRKJpOyQu+0SSQWTnzBXBKSF01+9enUWLFhAx44dcXFxAbTV+sTvdnZ2tGrViv/7v//DwcGBjRs3Kht56oB5SEgIZ86coUuXLmXiUFWvXl1xGgVWVlbcvHmTxMREPDw8LHo+Sdlw7tw5Vq9erXRF+ueff5g8eXKJhbnh4eGMHTuWW7dusXTpUry9venXrx9r1qxRNl2aNm1KQEBAia63ZcuWvPzyy3z44YdcvHhREeiqBbfx8fF88cUXXL58mSFDhtC9e3dFWKte8FtZWREUFMT27dvZtm0bwcHByqLEysoKvV6Pu7s7r776Ko0bNy7R9UoqNzk5OWRnZ+Pj40N0dDS5ubmK+DUkJEQzxoWGhnL+/Hn69u1bqoV5ixYtmD17Nhs2bGDLli3ExsZqFuLqhbdIuEhPT9ckgIrzqxOgbWxsGDFiBO+++y6ATLi8jzEYDHh4eDBx4kQ++eQTZfNbjNNBQUEEBQUBUph7r3K3jrnqRIhXXnmFp59+GijePS9PgW5+5/b19VWSQYOCgkhNTeXatWtcv34dk8lEdnY2RqMRDw8PmjRpgrOzM507d8bR0bFU55ZUPNbW1lhbW9O8eXNlLBNjXFpaGgkJCWV27qIKdMVzpEBXYmnyE+ba2tqSmprK7t27sba25s033yxwLW5tbU2tWrWUOUA8JpJD4I6wR70hJP7Z29vTrFkzPvzwwxKv5yRFRwgeb9y4wc6dO5k2bVqZJzAUJpIQG9dCJKFet0D5ddC1sbHh+PHjvPLKKyxbtkwRsEnKlrsJc4WIZu7cuTzyyCNKkpB67hP30MHBgRYtWrB69Wqee+45Lly4oFkTi3Fpw4YNDBgwgL59+1r0vYjrEAUGxPnEWHf58mViY2NL7bNKyh/RpTk3N1eTgHPy5EmGDBlSrESw8hDommP+OvUYGxAQQP369encuTNwew1/9epVkpOTOXDgAHFxcZw/f56oqCglESonJ4fmzZuzevVqKcyt5Fi6IIA4TtOmTWnWrBkhISGa+LnBYGDlypU8/PDDtG7dWmO3c+fO5Y8//gBKHzNS/91kMlG9enUGDBjAgAED2LVrF6dOnSI6OloKcysJYWFhFd4xNz+f08HBgZUrV9KqVSuLrKmLI9DV6XQ899xz1K9fv1TnlJQMtf9pZ2dXqccI9Xqla9eu1K9fn9atW/Phhx+SmpqqPEddKEHtT5jPA+pCWuqkTWGfIvbUrVs3JkyYQOfOnZW8Akn5EhoaytixY0lISFC6wrZr14769evTvHlz2rRpg4ODA15eXvm+3pKxwrIWTZiv69q2bQtA//79lULY1tbW2NraKus6QWX+/t5vlIVA924dc9W+xHvvvcfIkSMBaRf3MmLdERISwoQJExT/0mQyodfr+eqrrwAqRKDr4+ODm5sbqampmqL+JpOJjIyMMhHmqveMRG5H27ZtadmypfJa+V0oX8T4ExUVRXJyMl5eXnh5eeV7H0o7VjVp0oROnTopHSWFn3f+/HlCQ0M13ZzLkqIIdK9fv86SJUvIzMzk0UcfLZfrkhTO/eRrSqo2qampJCYmau6xuiBgaRDHPH/+PLt27eL3338nNjZWkzdpfo78OoCLdbfwc/V6PTt37sRgMDBz5sxCiwEXJtBVv08pfqw8qIvxwp34tvDFRNO0ko6TavuKioriwoULfP755wQHByvPUccb1delLsCm9kd1Oh0pKSkcPHiQ2bNns2jRIho2bFik8TM/ga44trRNiUQiKRvkjrtEUoEURZjr5eXFN998o+mWC3kTMtS/u7m58cILLxAbG8vBgwc1SUd6vZ7ExEQOHDhAly5dysShatCggZLwpE5ii4qKIiYmRopzqwipqamkpaVhb29Pbm4uYWFhxT6GqLSjTuCwsbEhLCyMd999l+7du+Pk5KQkh4mkzZLSvn17XnvtNT7//HPOnTtHTk6OZvNbfK+2b9/OkSNH8PT05KGHHqJWrVrUrFmT3Nxcrl27xs2bN/n777/Jzc1VOpKqhbkAH374IV27di3V9UoqL3Z2drz88stUq1aNP/74g+joaKXYgTohQtjU3r176dSpU6m7KNevX5+pU6fSpk0bvvzyy3wX52KBDCi/i58BjZ02adKEwYMHKwI7EUyS3J+IwFGrVq2wtbVVxjd1l3u1PyGFufcWRemYW1phrqCiBLrmlYwbNWoE3PYPioK076qNsDnztYZIcijratNSoHt/kF/VdMhfZFZeFCTMFWN6Tk4Of//9NykpKXzxxRdKtVc1NWrU4O2338bf359169YRGRlJTk6Opno/3BGFioR8k8lEo0aN6NWrFxMmTJBiyHJA2F1YWBijR48mJSWF7Oxsnn/++TKzu7uJJOBOZWEHBwdee+01fvvtNy5duqQIaMtSoAvaxPV69epJWywniirM/fjjj3nssceU14lYkUDdbdlgMODt7c1XX33FmDFjiImJyZMEDBAcHEzfvn0tOuaK44gCLllZWcr1CjsubdxKUjEI/1CMWWL9K4q3FHcNUBECXTVqmzf3RWxsbGjevDmAshZLSEggLS2Na9eucerUKdLS0njzzTelMLcCMR+7YmJiSEtLIzw8HGtraxwcHGjWrBnW1taaQlKWWLOKYzz77LOcOnWKmJgYZfwVoseNGzfSsGFDnJycgNsdcy0lzDVHfA7Chvv3768IJC31niUlJywsTCm4Kvw90Mafy0uYK34WPueKFSto1apVHqFXabibQFd8Blu2bKF9+/ZSnFsBqAsViQKUXbt2rVRjhfkYr/65Zs2ajBw5krZt2/LLL79w7NgxQkJCNCJb8wJZ6p/V6x71+xXfkVatWtGzZ09eeOGFSvN53I+EhoYybtw4EhISsLOzIy0tTdlH3LNnDwBOTk64u7vTsWNHqlevTvfu3alRowa1a9fGxcUl33GtNHZeHqKJgnJX7O3tles2v35pp5ULSwp0i9Mx991332XUqFGA9P3udXQ6HUlJSUyZMoW4uDgcHByU2IuwiYoS6Hp4eFCtWjWSk5OVx4TNi9hBSWJQdxPmqjv6DR06lI8++qjE55KUDnX+5ujRo0lKSiIgIIDGjRtTq1YtevfujaurKy1atADy7kmXZPzy9fXVFOkXsXTRQKO8KEygK76bV65cUQojSyqW+9XXlFQ9RCxF+H/qe5yVlUVSUhI1a9Ys1r0336f/66+/+Oqrr4iPj9d0BlUXtII7wksx76oLUcMdGxY+rMFgYM+ePbi7u9+1eGB+At21a9cSFBSUZ36Xvm7lQZ1jq869FbHP4o5JwqbE6w4cOMD69es5duwYSUlJeWxTnEO9BhNibjEH51e07fLly7zzzjt89NFH+Pv7F+naBgwYwKeffsrs2bPJyspS4ptSmCuRSCRlg9x1l0gqiKIKc3/66ScaNWpU7IWoj48P/fr148SJE5puN2IBcfbsWYtXXhf4+/vj5uZGdHS0cmwbGxt0Oh2JiYkWPZek7GjdujWOjo5Kh7lt27YxefJk6tSpU+RjiAD7iy++SHx8vFIVFyA6OpojR46QnZ2tLHTE30ri8Ks3i1577TWWLl3KkSNHSEtLUxYt4vtlMBhIT08nOTmZ77//XrPJLa5bbAypF+Ziof7ll18qHVpkkOjexGg04uzszNSpUzGZTGzcuJHo6GjFNs0FsXv27OHxxx+nZcuWpU62rF69Og899BBdu3Zl0aJFnDlzhqtXr2oS30WnAPFPnFMEtgAmT55Mnz59lGRMKfqRCNq2bcv48eP5/vvvNRX2BerOy1KYe29wN2Gu+p6XVpgrqMgOuoVdc2HztrTv8uNutlWaOatDhw78/PPPmmQhk8nEhQsXGD58eEkvuUgUVaArnisFulUHcV+F3aanpxMfH4+joyM5OTnk5ubi5+cHkEf8Wpb3tSBhruheqk6g79q1a77CXPX7mzx5Mh07duTy5ct888035OTkEB8fr/i8cCfpt169enTo0IFx48ZRp04d2YG8HDCPI6WkpADw1VdfYTQaefHFFy2+Ni1u97LVq1fTokULAgIC+OCDDwgKClKSitSJSpYU6Io4g0xiK1+KKsz96quvGDBggOa1d+u6ZDAY8PX15c033+TNN98kMzNTeY0oLLRlyxbGjh2rCMcs+b5sbGywtbUlPT1ds5mekJDA2bNnqV27tkXPKSl7PDw88PLyIiIiArjjswUFBSlFq4o7VwuBrrCRgwcPFirQ/eSTT/Dw8CgzvyC/Y4px0N3dHU9PT+rUqUO/fv2Ux6Uwt+IQ48off/zB+fPn2bhxI0ajkezsbOU5fn5+uLm5MWbMGBo3bky7du0ssmYVx6hRowbNmjVTiiCo95AOHTqk2PGbb77Jxo0bAcsLc9UUZMNynV5xhIeH8+ijj5Kdna2JR6u7ODzzzDOKMLc041thPqewS3UxGNExtyxilQUJdOHOXsCQIUOUhEtJ+aFeD02ePJm4uDhmzJjBsmXL6NixY6WIXYu5NS0tjZycHDw9PfM8x2g00qBBA1577TUiIyP55ZdfOHfuXJ49oNzcXMX2xJhsHusC8PT0xNXVlcmTJ9O2bVulq49cD1UM5t3Gc3NzNTElsV7KyMggIyODv/76C7jdXclkMlG/fn3q1KlDvXr16NatGx4eHjRp0gS4M4erOzAVx+bLWzQhnqu+RmmTlZ/SCnRFgeniCHOfeOIJQO5B3i9kZWXx4IMPsmHDBtLT0xV7EHNoRQh0hVBWFGFXC3QAgoKC8sS2ikJhwlzxPVF3LZPCnYpDXRBz3LhxJCUlKV2eQ0JCgNtztcFgoHXr1nh5edGjRw8aNGiAv78/3t7e+c5xBd1L8Xjv3r3ZuHGjRqiTnp7O8ePHadGiRbnaQn4CXVtbW80a6JVXXimXa5EUjPQ1JVUJa2trfH19CQgI4MqVK8CdWJ9eryc5OTnfTrYFobbJ//77j127dik5RqAVWYqYvXkeZePGjZWCHLa2tgQGBpKcnExaWpoSgxLfI4PBwMaNG2nQoAHTpk0r9PtgLtDV6XR8+eWX9OjRQ87vlQzzgv/mOes3btxQHi8q6phoSEgIO3bs4LPPPlP+LuxJnF99XnWnXJGnb2NjQ3Z2tqZ4h7oL9KVLl1ixYgUvvvgirq6uRbrG/v3789lnnzF79mwyMzMZPnz4XYXnEolEIikZcuddIqkAiivMLYkDZG1tzaOPPsqKFSsIDQ3VVCAHuH79OomJifluDJYGIV50cXEBtJXP9Xo9p0+fplu3bnJRXckxmUzKQjQzM1NZgCYkJFCnTp1i3T9ra2vat29PamoqkZGRymN6vZ7w8HBNks2hQ4e4ePGi0uGhOKivp02bNsyaNYs///yTP//8k7i4OE3XUXWFLLEAEoskdXdU8bP4u7e3N/PmzaNPnz7K5yTt+N5EBE6cnZ2ZNm0aJpOJP//8UyPQFVWqbGxsiImJ4Z133mHVqlU4OTmVeuFqNBpxc3Nj/vz5XL9+nZ07d7Jz506CgoKURD1zUbnRaKRu3bp07dqVRx55RNPZ2ZIdBCRVGzFude3aVRkf1YgEXYDZs2dLYe49QEUIcwUVKdAt7JokFYu45zdu3ODXX3/F29ubtm3b4ujoSKNGjfIVR6iTegpC3FthO0KcKOywvCpNS4HuvYPa18/JyeHcuXMcO3aMEydOEB8fT1hYGHZ2duj1egwGA3Xq1MHe3p6OHTvSrFkzWrduTb169cpdmKse34U4bs6cOUrSfH5rGPVGe8uWLWnZsiX9+vUjISGBffv2kZWVpXRobdiwIXXr1qVu3bpFrsgqKT1i3RwSEsKECROUOJIoIvXNN98AWFSgWxSRhHn3MtE5oFOnTrz11lssWLBAEegCmnHQEgLdGTNm8N9//wHI6tPlSGmEuUVB2ItIlDAX5wJK4pGlsbKyonr16rRo0YKDBw8q46M4/61btyx+TknZ4+npSe3atQkPD1fuKUBUVJRSob8kWFlZ0blzZ+X3wgS6r776apkLdM0xF0SYV2+XwtyKITMzk8uXL/Pzzz+zfft2Zf1ga2ur2SOKiYkhMjKS+fPn4+bmxogRI5g4cSI1atRQYtelmfM9PDwYO3Yse/fu1XSOsLa2JjQ0lK+++orU1NRyEeYWhFy/Vyznzp3TxKHzm3fT0tKIioqiZs2aZSLMNRcqlrUwV1CQQFcIJ2RXifJHLZgQ++qOjo5kZmYyadIkfvnllwoX6AqhWnh4OM8++yyDBg1i9OjRVK9eXfM8cX0uLi40btyYBQsWcPPmTU6ePMl///3HxYsXiY6OJjc3V/kOCIR/YWNjQ5cuXahZsyZPPvkkXl5e+Pr6Ks+Te5cVQ1hYGEOHDlXELOoOUWLPGbQdegDlb3q9nqtXr3L58mUAli5dCtze8/by8qJbt24EBATg5+dH3bp18x2X7+ZnStGEpCgURaArCrvkJ9AtSJgLSGGuBB8fHyZOnIijoyM//fSTIkAQMfaKEOiK/Lb69esr4iE1qampQPHWJ3frmGsuzJX+ZcVRWP6mWCdbWVmRm5uL0WjkzJkzGAwGduzYAdy26UaNGlG7dm169eqFm5sbrVu3xtbWNk88Royh4vGGDRtibW1NTk6OJl4VExMDlH9RabVAd8uWLcq+qrTRyoH0NSVVEb1eT7Vq1QCtj2kwGFi+fDlNmza9q7hQLUDPycnh448/Zv/+/YSGhgJo8oFBK4QUOfgDBgygV69edOrUSXO+8PBwIiIiePfdd7lx44ZmH0r4JOvXr6dHjx40a9as0OtUC3THjh1LQECAkiMlx87Kg7jHYk/IvFNuWFgYMTExyt+LMiaJcXH16tXs2bOHAwcOAGgE3+JYattydHTEzc2NwYMHU7t2bZo2bUpubi7Jycns2LGDwMBAwsPDFR9Z5LpnZmayb98+hg4dSsuWLYtsX/369WPBggUcOHCAhQsXAtI2JRKJpCyQu+8SSTlTHsJcuL0gdnV1pVOnToo4V90p12AwaCqxWwpra2tsbGxo06YN165d0yT5mkwmkpOTlWuQVF50Oh1+fn60atWKw4cPYzKZSElJYcOGDbRt27bI90+IfGfNmoWTkxN//fUXcXFxGgGsukstwNGjR2nSpAlWVlalspMGDRowZcoUOnbsyIcffqhUNhLnUi/E1f+L54iguF6vx9PTk44dOzJlyhTatWunPEfa8b2NWqA7ffp0dDpdvh10xSL44sWLLFmyhFmzZmFnZ1cqG1EHbRo2bEjDhg0ZM2YMt27d4ty5c4SGhpKWlkZSUhI+Pj74+PhQv3592rZti62tbZ4ES7mQlgiETXbr1o3mzZuzZ88eTWBe+AoTJ05k+vTpgAzGVGUKE+aaVyi3tDBXUBKBrk6nY/To0SVOkpdUXsyrTyckJADg6OiI0WikSZMmuLm50aRJE1q1akWNGjVo1aqVUgzjbsc1GAx4enri6elJYmKiZh6+evUqaWlpODo6lrkYoqQC3Y8//liTTCmpWIT9rFixgpMnT7Jjxw7NmtpkMpGTk6PMn0FBQQCcP38egLp169KkSRPGjRtHQEAA3t7eFltD3E2Yqx7fiyqcUD9uMpmU71LDhg0LvRa5LiofdDodycnJPPXUU8TFxeHg4EBWVhZw535bUqBbkEhCbWdqkcSKFSto3bq1Ypu2trZ07Ngxj0DX0h10v//+ex5//HG8vLykMLecKGthrpr69evTr18/Vq1apYy1wkZu3rxJREQEjRs3tugYJI4lihmqq1gbjUYleUkW06g6iDFBdHhXCyF1Oh2JiYmlWndUdoGuGjlfVzwJCQmsW7eOHTt2cPnyZUUsrdPplPETUBLKhB0lJiaybNkyLl++zPDhw3nwwQexs7Mr9ZzXqVMnBgwYwM6dOwFtXOjXX38lMzMTqBhhrqTi6du3Lx9++CELFy4kJSVFs6cixtJVq1aRkZHB888/T61atYp9jrsVgxGxALXPWdbCXIEQ6Op0OhYsWEB8fDzDhg3jww8/BKTtlzeiUNHjjz+uCL1EUnpubm6FC3TVa/Tx48cTExPD2rVrcXR05LHHHssj0BWIa61Vqxa1atVi8ODBGAwGrl+/zo0bN0hPTyc8PBwbGxvs7e3x9PSkbt26uLu706hRowKvR8755Y/JZOLw4cPK3JlfUQNxX9TdyMTj6j1qUVhadFYMDAzEZDLx77//AuDl5UXt2rXx9vamZ8+eeHp60r59e1xdXfP4l/l9H6RoQlIUStpB95dffgHQCHOFnyuFuRJBrVq1GDVqFIBGoCvEYxXVQdfBwQHIW9jq+vXrwB3B7d24mzBX5JhIYW7FIz5zsc+izt9UxyLFvVPnP4rOj7GxsURHRwPw22+/YTKZaNasGa6urvTu3ZsGDRrQvHlzqlevrszT4lh+fn60a9eOo0ePKvfeYDAQFBREbm6uRshbXqgFuuvWreORRx6RNloJkL6mpCpiMpmws7Nj8ODBBAYGAih2B7dzN/bs2cMjjzySJ8dSnZOp0+mIjIzkyJEjrFu3jrNnzyrnUDciEHnGInZVt25dWrZsySuvvIK3t7dmDhf+rL+/P/7+/qxatYo5c+Zw+PBhxScRx4mMjOTKlSs0a9bsrvap3gOVwtzKjb+/P46OjppcD5PJxLlz5zh48CAjRowACs6DEI+LwoWff/45+/bty5OrIV6rtlWARo0a8cILL9CgQYN8czEGDhzIf//9x19//cXWrVsVbYlae/LDDz/w5ZdfFsu+Bg0axKBBgwBpmxKJRFJWSHGuRFKOlJcwF+5UZKlTpw6AJnBkbW2NnZ1dmVTHFw6l2GhUL/YBLl68qARXZRJb5UXYSvXq1ZUES51OR0RERLHsUmzcuLq6MmPGDABFoKteSMOdBfi6det4+OGH8fX1LXWimqenJ3369KFdu3Z8/fXXnDlzhsDAQCXBydbWVllMA0oAVditXq+nWbNmTJ8+nbZt2+Ln56f5fCT3PuYddIECBboAu3fvxt/fn1GjRimdrEoj0IU79ubq6oq7uzsNGjQo9HXCfiWSghC2++yzz3L+/Hni4uI0m4yiQmtWVpYirpBUPSqDMFdQmg66UqB772C+FkpISMDW1haj0Uh2djZGo5ELFy5gMBjYv3+/8ro6derg4uJCu3btqFOnDv7+/rRo0QKdTqfYh7BZa2trateuTaNGjTh69KhmYzI2Npbc3FxcXFzK5f0WVaArfInjx4+zadMmnnnmmXK5PknhZGRkcObMGVavXs3OnTuV+6ROEgeUbopqf0+s7cPDwwkNDeXUqVPUrVuX5557jk6dOmFnZ6e8tqSFuAoS5pqP7yUVThTHf5XrovIjKyuLhx56iA0bNpCamppv0polBLqFiSREQmV+wlzzDuc2Njb5CnTBsh10N2zYoDwuNxLLlvIU5opzqatTq2ObTk5OuLq6WnwMUhfJgjtjuljziw4qMqZZ9WjRogW7d+9W4jwGg4Hc3FzOnj1LkyZNSh2/qSoCXUnFERMTw8KFCzl69ChJSUlKxwe1bwl3xjvQdkjU6/UcPHhQSfydMGEC9vb2pbJdJycn2rdvr4hz1XOoKAIiHpPC3PsPJycnHnroIUwmEx988IEi0DVfd/zxxx/odDqee+65Ygl0i9sxV+1zlpfd2dvb069fP7Kysjh37hzvvPMOIG2/IjCZTOzdu1fp3iXGydzc3AoX6Oa3Rre3tycuLo4ffvgBnU7HkCFD8PLyyvPa/K7Rzs6Opk2b0rRp0yKdX+5XVg50Oh2PPPIIOTk5fPTRR5p1ujo+aS74Eq81F1GIcVA8Ty0CSkhIID4+HoB///0Xo9GIn58f1apVo127djRv3pyAgABat26NXq/PEwsV34+cnBwpmpAUSkk66I4bN47s7GxNAQWRnySFuRI1BQl0K6KDrrBzb29v4E5XMzEmx8bGAkWLBRUmzBXxMynMrTyIPcthw4aRmZmJnZ0dOTk5GjE1aP0tEZ8Ue0MCtdjx4sWLGI1GpRFGrVq1qF+/Pi1atKBHjx54e3tTp04dHBwcaN++PUePHtXEBoKDg0lLS8PDw6P8PxRQGge0bt1aESdJG61YpK8pqYqIexgQEKDYnBgrheB25cqVODg40KNHD1xcXBTbFuNNXFwcly5dYvHixURHR5OYmKjMpWIsBm0sCW53/B4xYgRt27bFwcEhTx6lek43GAxUr16dTz/9lAkTJhAcHKxcp/BhV61axcCBA3F2dr7r+85PsC6pfLRp04YmTZoQGBio2Kqwo3nz5lGjRg169eqlPF/sEQrb0el0XL16lV9//ZVDhw5x48YNJb9eXRRBjL3i9y5dutCrVy/GjBmjGT/VOSdirdWnTx98fX3R6XRs2bJF4ytYW1sTGBjI5cuXixw/MkfapkQikZQNUpwrkZQT5SnMhbxV+9RJbHq9HisrK6XynyURC+TmzZsDd5LYxCLn5s2b6PV67O3tLX5uieUQ97Ffv35s3bpVSRQ6cuQI+/bto2/fvkU+llhk3E2gKxI6QkND+d///sd3332nCDZK810QXaRfffVVUlJS+Ouvvzh16hSHDh1SEvEERqMRW1tbnJyc6N+/Py1atGDUqFFKAr36PUnuH4oi0IXb35vQ0FA2bNhA9erVGTBggEWSLNUBUdAGvkUXanVAVS6eJXdD2IiPjw9+fn7ExcUpm+hw24c4dOgQycnJFu3yJyk/KpMwV1AcgW5cXJwU6N5jqDvmmq+FQFvFV12xF26vHwwGAxcvXlSO5+XlhZ2dHe3atcPT05N27drRsGFDvLy88PT0VAqqqIPT6enpJCQk4OHhUW6byHcT6IpCMSIRQwpzKwcJCQmsWLGCXbt2ERQUpPHF1DYrMK9Ora6CKooOxMfHM3XqVMaNG0f//v3p3r27ssYqjr9YkDA3vw4UUjhx7+Ht7c3EiRNxdHTkp59+IjMzU7nnlhLolrRjbkE2VpBA11IddM3XY9LOy47yFOaqEUlowlbE3GplZVUmRYSEDTVu3BjQFr+ysbEhJSVFSSySVA3EPRWCMXWRPoDk5GSg9LE+KdCVFEZERAQvv/wyFy5cyJMoKX4WPqXaj1QnTYq4TVBQEOvXr8fe3p7Ro0eXeDwS1zFp0iR27tzJqVOnNN8Ddedw6V/evzg6OvLwww8DaAS65gVifv/9d4AiC3Tv1jEXKl6YK7C3t2fIkCEMHz4ckLZfUeh0Oh5//HGysrJYvHixxv70en2FCXQLWqPn5ORgbW1NYmIiX3/9NZmZmUyePBlHR8dCj5efT6D2FfJ7TzJuX3lwdXVl2LBhGI1GPvnkE8VOxbgmxj7zTmdifSPiRGofQPw9PxGQ2BuE28Ix0dFJUKdOHdzc3OjevTteXl60a9cOHx8fPD09ARQfws7OjpkzZwK39z6TkpKkaEKiUFyBblJSEqAt8CaFuZKCKEygW54ddMVYVq9evTw2qY63323MK4owVwg+pTC38hAdHc0DDzxARkYGwcHBhIeHK80e1Gt1Md6p72NB3XXVjVP0ej3R0dHcvHmT/fv38/333+Pj40ObNm1o2bIl1tbWODo6KgWybGxsyMjIICkpqcLEuYCmWIy00cqB9DUlVZVu3boxbtw4Vq9erdig4Pz583z++efs37+fCRMm4O7ujqurK5GRkezYsYMjR45w4sQJxc7V3efNBZU2NjZ06NCBhx9+mLFjxyrnuNveoRjfPT09mTdvHs8//zypqakakWRCQgJZWVlFEudKKj9GoxEbGxseeughLl26pKxnxJomNzeX2bNnM3/+fPr374+dnZ0mXnPgwAEuXrzI999/T0ZGhmJj5kU9hB9gZWWFu7s7I0eO5KmnnqJatWrK+C2Oq7ZR9bkaN27M0KFDOX/+PKGhoco4bzQaiY2N5cKFCyUW50okEomkbJDiXImkHChvYS6gCHMjIiIA8gSMvL29sbOzs/hiVl31SJxLvRhKSUkhISFBLlYqOcL+6tWrB9yuPi0CyefPn6dv377FSh4TAZXCBLrqoPTp06dZvnw506ZNUypeldROxettbGzw9PRk8uTJTJo0iejoaKKioggODgYgMzMTV1dXGjZsiJubG/7+/soxZKKcpCgCXfGcixcvsmbNGlxdXenSpYvFA9UFLchlYFJSXGrWrMnUqVN56aWXNEIia2trwsLCWLJkCe+99560rSpGYcJcoEKEuYLiCnR//fVXQAp07wXEWmjMmDEkJiZib29PTk6OpkqveqNQneygDl6LDRtRsTcqKgqTycSaNWsA8PPzo2fPnqSkpCjHEsWJ9Ho9ly5dokGDBnlsXWw8lsV3oDCBrkhQkokYlYfo6Gilo1lycnKejmZqIYXJZNJUuhe+oLrTmXi+WPevXr2aY8eOMWjQIJ599tlirXUK65gLUph7v+Dr68vjjz8OoBHoqjcNSyrQvVv3MpPJVCKRRFl20FWfV/qsZUdFCHOFjURGRgJ3fAMxJteoUUOJU5XFvRfCCXWSh16vJywsjIsXL9K2bVuLn1NSNggbEcVb1IWpAC5fvgxYZr4srkB30aJFuLu7y7jjPU54eDjTpk0jNDRUsTF1LBxu22m1atXQ6XRkZWWRk5OjqcYvuj2L14WFhbFx40Z8fX3p379/icZB9Vqse/funDp1Ks/3Qy2kmD17tvQv71MKE+iq/c+iCnSL2zF35cqVtGrVyqJ2V9xxV10QRNp+xeHi4sKECRMwGo18+eWXmmT0iuigW9gaXW3nqampVKtW7a7C3IJQ26q0v8pPtWrVGDlyJIBGNKHefxGxovr16/Pggw+yceNGMjIylKIxah/AXJyd3/8iadw8fhoWFgbAuXPnAHBzc8PW1pb69evTunVrateuTY8ePbC1tcXHx4c5c+ZgZ2fH5s2biYyMVI4vRROSogp01d3KhM2r/cn58+dLYa4kDwUJdM19zfLooOvo6JhHnGYwGJS8Il9f3wJfW5gwV72PIIW5lY8uXbrQpUsXABITEwkJCeHmzZvs27ePW7duce7cOXJychTxrJinxf0VqIsKCsRYaC7SiYqKIioqiu3bt+cp/mowGEhOTiYwMFDJ16topI1WHqSvKalqiHvYt29fjh49yrVr1zT75wAhISGEhISwadMmHB0dsbe3Jzs7m5SUFGUMFb6BOqdD3aTKycmJWbNm0aVLF03hVbXIvDDE98Df3x8fHx9FnCuIjIwkMDCQ/v37l8GnJClvxLzWp08ffvjhBxITEzX+p7W1NSkpKcyaNYs+ffrg7+9P48aNCQ0NJSQkhH379ikF+AuyTVHw0tbWlhEjRvDAAw/kaYZV1Nhkr169aNeuHSEhIcpjYuw/fPgwI0eOlHtMEolEUomQ4lyJpIypCGGuwGQyERkZqVksiMVt//79y6x7rdFoxN7eHgcHB9LT05WFksFgIC0tjXPnzmmEj5LKiclkol69erRv354TJ04At4M0v//+O08++aRS7ayoFEWgKxLbMzIy2LJlCzVr1mTo0KHK30oadFEn0At79PX1xdfXl/bt2xf6GYgAk0RSFIGuCEYePXoUGxsbdDodnTt3lgFrSaWlbdu2dOvWjSNHjiiJ7mLsu3jxIjdu3KB+/fpyc7CKUB4dc9VzdmHzckHHLI5ANz4+Xgp07xGSk5OZO3cuiYmJ2NnZkZ2dDdwR5Ba0iS2eo9PpFNtVbwaqNxr1ej3h4eGsXbs2j20Ku9q+fTs3btygYcOGNG7cGGdnZ3x8fDTHUoss1Y+XBnOBrjjunj17GDJkiEzEqCTcvHmTWbNmcfbsWeCOjQlbUM+TAnXSmTopQ2xOi40YdaJaUFAQX3zxBWFhYcybNw8HB4e7Xtvdkn6lMPf+ws/Pr0CBbkk76N6te1lJhbmCsuygKylbxPij1+vLtWOuOG9wcLBmPBZjbceOHXF3d7fY+cxp1KgR/v7+3Lx5UxnLxTguOgFJqgZiHGncuDHu7u6kpqZqOkhERERYNHGhOALdOXPmSIHuPU5YWBjjx48nNjZWUw1fzNfOzs6MHDmSxo0b06pVK3Q6HdHR0Vy/fp0tW7YQHBxMamqq8lr1nHnx4kV+//13+vTpg62tbYn8PvH8YcOGsWbNGhISEjRdgMSYO3PmTKZPnw5I//J+xVIddO/mc+p0OqVDhfA5LS3MVQsn1q9fT/fu3eV+ZRXC2dmZSZMmAWgEunq9vlwFugWt0XNzcxU7Fmv01157jfHjx1v0/JLKjYuLS6GiCeGLXrt2jTlz5vDSSy8RGxvLkSNHuHnzJpcuXeLSpUtkZmYSHx+vKZyh7gqlflz4tubxU5GMbjQaSU9PR6/XEx8fz7Fjx4Db3yk7Ozs6duxIo0aNaNCgAQ0bNiQxMVERIYnEYimauL8pqkA3P2Ea3Bbmjh49GpD+pCQvlaWDrr+/Py4uLmRlZWn2ATIyMkhLSyvwdUXpmCvyoKQwt3Ii7oWbmxvt2rWjXbt2DBkyBLgtGktJSeHUqVMEBQURERHB+fPnMRgMylwpEOt99bpaHB/u7CGpu+upfxdzrsFg4ObNm+Xx1iVVEOlrSqoS4t717NmTEydOEBYWpuwpCbtSFy8QBdjV3USNRqOmeKs6h8THx4fmzZszc+ZMmjRpopy3pEXZfX196dq1K0FBQZoO6YCmOLyk6mMymahfvz7/93//x6xZszRjnxDd6vV6/vvvv3xfr7ZbYZPC5sSeuq+vL++88w7t2rWjWrVqQPH9P/H8ESNG8O+//5KVlYVer1fG6OvXrwNFF/pKJBKJpOyR4lyJpAypSGEu3A6GHzhwAEBJJhYL8QYNGgCUySLWysqKOnXq0KhRIwIDA5XHxXtOSEiw6PkkZYNOp8POzo769etz/PhxpTJlXFwcmzdvZuLEicrzikpRBLoicBMUFMT69evx9PSkd+/emk2f0rwncR35YX58GeCRmFMcge7BgweV10mBrqS8MR/PCho/a9asSYcOHTh8+LBGdGkymbh48SI7d+7k6aeflvZbBVALc8eNG2dxYa44vnhuRkYGKSkpStVKd3d3bGxs8PLyws7OTnlefknm5gJdEdAuSKC7fv16QAp0qzJubm4sXLiQzMxMbt26xZEjR4iJieHSpUtEREQAkJmZqXmN2IAWSQ3mVafVmyHqDW21qNb8uf/++y///vsvVlZWODo64uDgQNOmTXF3d6d9+/YEBATg4+NDgwYN0Ov12NnZaa5JXeiluJs6artv3749EydOpHPnzkyZMgWQiRgVjXlHM/WGoLApg8GAl5cXHh4edOnSBVdXV3x9fUlMTOTWrVuEhoZy4cIFMjIySE9PB+501xWVVtWbMhs3biQxMZGXX36Zxo0bF3j/RQKPFOZK1AiBrk6nY/ny5YUKdE0mEy+99FKB69vidi8rrjBXUJYddCVlQ0V0zBVYW1tz+fJl9u3blydJw2Qy0bJlS6DsxjoHBwdF7CbOLWzx9OnT9O3bV4opqxDCTtTiL7h9XzMyMsjMzMTFxcVi55MCXQmg2RMyF+ZWq1aN4cOHM2DAAI2tANSvX5/u3bvTp08fjh07xhdffKER94ox2GAwsGfPHpYvX86MGTNKPBYajUZq167NhAkT+PrrrzU2CuDq6kqjRo0AyMnJybNGktw/FCTQNRdNFCTQLcjnFH6m+ufS+JyFoRZOjBkzhjNnzvD0008zevToQrv9SioXBQl0y6uDbmHFs0DbdXzOnDk89dRTgFyj30tERUURHR1Nu3btCtx3KUg0IXxREfd85pln+Pjjj3nsscd47LHHlNcnJyeTlJTE6dOnuXXrFvv37yc+Pl7plKO2NxFvErErdWFN9byuTmgX8aqsrCzS09OVmKkQpakTjNVxUCmauL8pjkBXzVNPPSWFuZK7IgS6Op2On376iaysrHxjnUKg+/zzz1t83PH09FS6nAlsbGywtrYuMMetqB1zpTC3ciPuhfhfLTwMCAgAoHXr1gDk5uYSHR1NcnIy+/btIyYmhmPHjhEXF6eIDcX9F8dTz/3q+Vmgnq9FHPSrr76idu3aDBs2rOzeuKRSIn1N6Wvea4g5b+bMmURHR7Np0yblb2rxrXkxdXXXZrUQUtC5c2cmTpxIu3btqF69umZuLYm9CH/WvNmVuMbo6GjN+5FUbYSN9O7dm2effZZvv/1W43OqbdLcpxOPqf0F9RzfuHFj+vXrx8iRI/MUBCxpcU1PT0/lugQ2NjZKURm5rySRSCSVBynOlUjKiMKEuaLyc1kKcyMiIhQhg7rTidFopEePHjzwwANA2YkPTSYTjo6OeR4DOHbsGOPHj5eOYSVHBDd69uzJn3/+qQS+AQ4dOqRsfhc3CFIUga4I8Jw+fZrVq1fj7OysdBkry6CLDOZIioIU6EoqO2J+TUxMJCEhgQYNGuQ7vonx9KmnnmLfvn1Kp0C10Gft2rX06tWLZs2alffbkBQTa2trYmJiGDNmDLGxsRrhljpQPWvWrCILc9VzrrW1NampqezatYtTp05x8eJFIiIiMJlMZGZmKn5f/fr1adSoEd27d6dr166ajmbq46nn9O7duyvPyU+gGxcXJzvoVmHEfaxbt67yWI8ePYDbyd0JCQnExsYSGBhIYmIiZ86cITY2lqSkJOLj4zUBZrhTaVJdsVcEwUUAXL2xrRZXip+trKxIT08nPT1dKU6wdetWAOzs7KhXrx6urq506tSJGjVqEBAQQIMGDbCxscHT07PATrtQeEDdXJguukfLTZyKJSwsjIkTJxIdHa2pBq0eO2vVqkWbNm144YUXcHd3x8PDI99jxcfHc/HiRbZt28ahQ4eIiYlRROZiTS7GZaPRyN69e8nIyODFF1+kbdu22Nra5jmmlZUVt27dYtSoUSQlJUlhrkTBz89PScBQC3RFxVzx87fffguQr0D3bsJc8+5lK1euLFX3ssI66EqBbuWiIoW5AElJSfz888+aZEyR5FOvXj369+8PFH8juyiI9X7dunW5fv26Ms+L+SEsLAyQlairGq6urjRp0oT4+HjlnhqNRkJDQwkLC6N58+YWPZ8U6N7fFFas1dPTk3nz5tGpUyc8PT0Bre8m5mZ/f3/8/PyoW7cur776KlFRUcp4qJ7nt23bxpAhQ/Dz8yvRfCnO26ZNG2W9JOKacDthc9u2bQwYMEAKcyUW6aBr7nNWhDB34sSJnDlzBoANGzZgNBoZO3asFOhWIQoT6Or1+jIT6BYmzJVr9PuD0NBQhgwZwoQJE2jXrl2hc29hogl1J57XXnsNKysrpUNfbm4ubm5uuLm5KfHUCRMmYGtry6VLlwgODubq1ascP36c9PR0goKClMR1gbBHddc+QBM/FXEqIeAQHc/y24dXx1TVogmdTsdjjz2WJydEcu9SVIGums2bN9OvXz86duwox0JJodSqVYvHH38coNwFuiaTCQcHBxwcHEhJSdGILvR6PaGhoXTp0kUzRsqOufcu+d0fdeE3f39//P39leKBaWlppKenc+nSJc6fP8/Nmzc5fvw4er1eI+YCbWdS9Tyt/l8854033sBoNDJixIjyeNuSSoD0NaWveS+i3v/74IMPsLW1ZceOHaSkpCi2au4/CjtR53eItXaXLl3o2rUrzz77rOb5pZ1b7ybsFXFRuV95b+Ho6MiwYcPIysri559/VmJK5p3ChY2KXA9hB+o4kKurKz169ODll1/Gy8vLosUFRH5KTEyMck16vZ7k5GSLF5+VSCQSSemQ4lyJpAwQC8awsLA8SRhWVlbk5uZSo0YNli5dWibCXL1ez+HDhzl58iSgdQ49PT2VypRllewjFuFNmzbl8OHDyiJLEBUVBcgktsqOWBi0bNkSZ2dnEhISlA2V//77j99++02pXllczAW6Op2Ov/76i9jY2Dzixn379infj/IQ6EokRUEKdCWVFXWC0JQpU2jdujXPPPMMjRs3zvNcMZ7a2NjQpk0bzp49qySLink7KSmJK1eu0KxZM7lZWAXYuXMnsbGx2NnZKUlhcCdgOHv2bKZPn648VlRhbnBwMCdOnGDp0qVERkZqqgGKSqkpKSmYTCbOnDnD6dOn2bRpEzVr1uTZZ5+lTZs2ikjcvGJlUQW68fHxUqBbRSlsE9va2hofHx98fHw0Vaf1ej0xMTGEhISQlJTE0aNHiY+PJygoSJlrzStLi/Erv6qVkH+nXbUdizWLXq/nypUrABw/fhy4HVT38PDAycmJVq1a4e7uTqtWrahXrx41atTA19c33/ep/h6pN5GK8hlJyof8OpqBVpjbr18/Hn30UR5++GFN52R1xV5RUd/Ly4vevXvTu3dv9u/fz6FDh/jpp580VaDF69QixE8//ZQZM2bQo0ePfEUP1apVo0mTJhw9elS5Rpn0K4GCBbrmSWv5CXTVtlJQx1y1MHfFihWlEuYKChPoqhMwjh07xieffMKrr75Ks2bNpF2XI+rujubCXBHXBFiyZEmZCHNNJhMnTpzIE9c0Go04OTnx1FNP4ezsXGZxTWFrDRs2ZM+ePYr/IPzeqKgo5fslqRqIe+rj4wNoO5gYjUays7PL7LxSoHv/UZgw18vLiy+//JL27dtrXqOe49TrBWtrazp27Mi8efOYO3cuCQkJynPF2Hj9+nVu3rxZalFh9+7dGTFiBL/++mueTitbt26lX79+DB48uFTnkNwbFLeD7jPPPIO/vz86na5IxWDKQ5grhBMACQkJbNy4EZ1OxxNPPJGno4Wk8lLeHXSlMFcSGhrK+PHjlfUQ3L2AdUGiCfOiWnPmzEGn0zF48GBsbW3zHNfa2hqdTkfz5s2VojKiaGZgYCBJSUkcOXKEiIgIQkJCiIyMVOxRHYNXdzZVCynye0z9/tT/q0UTq1atIiMjg3HjxskiHvcRxemga21tTVxcHC+//DKLFy/WPF8iyY/CBLrqcdPSAl2dTqcI1W7dupVn/0nEDaQw9/4lP9GWGAsdHR1xcXHB29ubvn37AnDr1i1yc3M5fvw4sbGxnDhxguvXr3Pr1i3S0tIU4aL6mOoOksLW586dCyAFuvcB0teUvua9jLANa2tr3n33XRo0aMCePXs4duyYZj9SHRcXMSORX+zh4cHUqVPp2bMnfn5+wJ151VK+AEB6erqmY6qIwYoiizJf+d7D39+f8ePH4+npySeffKKMwyKHCO6MY2o7VXeyHTduHF26dOHBBx/UHNtS9pKQkEBGRkaeY5o3KJBIJBJJxSMzSCQSC6PumDtu3DhNEgbcdtScnZ1ZuXIlAQEB5OTkWGwBKc598eJFvv32W5KTk5VkH7G5XbduXdq0aQMULI4trfBRvFZU2FIHHwHq1KlT4mNLyhej0Yivry8PP/ww69atU4IpRqORU6dOMXToUGxtbUst0BUd/AoS6O7du1d5nRToSioLUqArqWyoE4TGjx9PTEwMSUlJODs7M378eJo0aQLk7V5qZ2fHk08+ycaNG0lLS8PKykrp6peZmcm3335L7969lWCjpPIybtw4jh8/zj///KMRuQhEsu7dkr3Vgbvdu3fz888/c+HCBdLT0zXCDFF5VT0vC9syGAyEh4fz3nvv0bJlS8aNG8fDDz+s2FdJOuhKge69g7AvYYfqDWhra2tsbW0JCAggICAAgKFDh6LT6UhKSiI2Npbo6GhOnDjBrVu3OHfuHAkJCWRmZmqKC4jjmW/2qUW65sJd9XWoBZcmk4m4uDjgdrc89Sahq6srjRo1ws3Nja5du+Lt7Y2/vz/16tXDYDAoVSql31r5yE84AVph7vjx45k0aZKSoG2+saEeS0Vyt3hOr1696NWrF127dmX+/PnExsYqBbsAzRgXGBjIt99+i52dHV26dNEIvgwGA3Z2dixdupRXXnmFnTt3KknGIJN+JYV30C1IoAt3xmJzkYQYR8uye1lBAl24893Q6XQcOXKEN954g++++052MisnxDogNzeXyZMna4S56kr4q1atslgHMoE4VlRUFD/++CPh4eGatYler8fb25tWrVoBaJJ9zH1MS1yHu7s7gObYer2enJwcOdZWMcQ9FeOIsB0hNr9y5Qrt2rUrk1ijEOgKX/PQoUNSoHsPczdh7vLly/MtnnY32rRpw4ABA9iwYYOyRoHb82lOTg47d+5U7KwkNiy+Iw888AA7d+4kKSlJ6RguxrsTJ04wePBgGZOXAHcEujqdjg8++IDk5OQCO+iaTCbmzZvHtm3bilQMpryEucKvsbGx4datWyxdupRmzZpJcW4VoyCBrl6vt6hAVwpzJeqC7AAnT55UxpG7+WyFdTVTiyZmz54NwODBg/Psg5ufQ9ikk5OTElN/5JFH0Ol0xMTEEBERQUREBPv37+fWrVsEBgYq3wuBuuOZ+dxuLpxQPyZeZzAYCAoKIiEhQYol7kOKItAV/qSNjQ3x8fFSoCspMsUV6L7wwgulPqewZ1EMznxcvHnzpvI8cQ0F+ZdSmHv/YD5Pi3tsMpmoXr06AI8++igAkydPxmAwcPPmTQIDA4mMjGT//v2kpaVx8+ZNMjMzNfYtBbr3F9LXlL7m/YBaoDtlyhQGDBjAzp072bp1K+Hh4SQnJwMoa2uA1q1bU716dcaPH0+tWrWUXHSwTLdcc6Kjo9m3b1+e3BW9Xo+vr69FzyWpXPj6+jJ16lRatWrF4sWLiYiIIDY2VvMck8mk2Kder6dWrVr06dOHAQMGaHLdymJvJzo6WmmYAXfymRo3boyzs7NFzyWRSCSS0iHFuRKJhbGysiImJoYJEyYQHx+vSfIV2NnZcfDgQQICArCzs7NIEE4srqOjo3n11VeJjIxUFqs6nY7c3Fzs7e2ZN28e3t7eeZxAc5GE+ePFuUbxGpHEJoLv5sFHmchR+RH3vGXLlso9FMHETZs2MWzYMLp06VLieykFupKqjrlA12Qy8eeff0qBrqTcyS9ByN7enrS0NDZv3oyVlRVjx46ladOmecZNo9FIvXr1eOKJJ/jll1+Ux0Rxj6ioKLZs2cKECRMAKTCrrAgbmDdvHjdv3uTcuXNKlUghpH377bfx8vLSdG8yRx3E3rhxI++++y6ZmZnAnYA5kGcjRS3KVXeFzMzM5Pjx45w4cYLo6GgmT56cx4akQFeitonCOtBWq1YNd3d3GjduTO/evQHIyMggIyODiIgIZZPu4sWLBAUFcf36dY19iXlbvbGnfiy/Sr5wp/u0WoAuNmJSU1OVzn67d+8GwMHBAR8fH6pVq0aHDh1wc3PDy8uLRx55RBHrSioWc+FEbm6uZoMNbif1zJgxA1tbW6Dom3zq55hMJvr06cOXX37JsmXLOHToEMnJycpz1GPp2bNn+eabb3B0dKRdu3YaWxMC3c8++4w5c+awY8cOAF599VWmTp2qHEv6l/cvxRHomkwmpYNuQR1zy1KYKyisg66aunXrSmFuOSL8uAkTJhAYGIidnZ0iOlAjEmLU3cRLg7rS9Lx58wgMDNR0pBC2OXPmTJo2baq8Th3bzO8aSmK34jht27bF3t5e8RP0ej1t27bl559/tqgYWFL2CBto0aKF8pi66n1IyP+zd97hUVXb/36TSe8NAoHQAiSR3gWkCIgU6R2kF0FR78WCiuV67xWw4NcCitKkCIqAXgUVFREktNBraIF0UkgjdTLl9we/fXLOpEI67Pd5fAyTmVNy1uy99trrs9YNoOLWutbW1nTp0kX5t6VAV9iSFOjWbEoS5q5bt45mzZrd07jk6elJ37592bp1q6ZAlhgbb968Cdy7DYvr6dq1K40bN+bYsWMaAbnJZOK7775j5MiRSoEEicTR0ZHHH38coFiB7o4dO4iMjOTYsWMAmn3LqhTmiqLCws4HDBjAoEGDyuW8ksqluA66BoOhzALd4oS5gBTmPgBERkYyduxYUlNTFXvKyspSYo2lobRdzYoTTagpzEcU761duza+vr506NCBYcOGAXD9+nXS0tI4evQo4eHhREVFERYWhslkUmL/guJippbx1aFDhyrXLNdHDx6l7aArBboPBpbzXlnHhKIEupaxzvLqoCvstE6dOkD+/o+Ih8XGxgIovoXsmCspjMK666qxs7OjcePGNG7cGIA5c+ZgMpk4cuQIv/32G9u2bSvgy0qB7v2P9DWlr/kgIeZJKysr/P39mT59OsOGDSMzM5OIiAiSkpJwcHDA29sbGxsbWrRogU6nKzTHvTztQfiuiYmJZGVlKXYo9qbq1q2r2VuQ3J+YzWY6d+7Mxx9/TFJSEj/88AOJiYlcunRJyb3z8/OjadOmNG3alB49euDm5qbkkgjKc09H7GHt27dPk+Mk9ByiyYocIyUSiaT6IMW5EkkFkJ6ejoeHB7dv3yY7O7uA45OSksLnn39OTk4OM2fOVBz6ew3GiUV1amoqM2bMICIiQtPtRDhmCxYsICMjg2+++YYjR46Qk5OjVFrX6XT4+fnh5eWFh4cH7du3x9nZWakSbdndpziHTrzeokULfHx8lErrMvhYc+nfvz9btmzh/PnzmirQy5Yt4+OPPy5TdSgp0JXUdNQC3dmzZwNIge59zN3MX5U11xWVIKTX69HpdOTk5LB9+3YyMjJYtGhRgQ644ho7dOjA2rVrgfzCGiKxKCQkhClTpgAyqFNdEf6Zh4cH06ZN44MPPiAuLk4Jygmh7JYtW6hfvz5+fn4FjqF+ttu2beP1118H8m1E2LTYEBGiBPGzOJeYn8XPQhy8dOlSMjMzeeaZZzTHAynQlRRPcZ12HRwccHJywsfHh7Zt2wKQk5PD6tWrWb58uUZsaTQaqVWrFpmZmWRlZQFoNv6EfauF6GrbVHfXVRdgsuy0m5eXp4g8zp07h9lsZvz48YwZM6Zi/1CSUlGYMBe0HXMXLFigrE0E9zL3ic+0bNmSBQsW0KBBA7Zv305SUpKmiJWw8ePHj7N8+XL++9//4ufnV8CXtLOz44MPPmDOnDl069ZNCnPvQywTEe6G0gp0V65ciYuLC97e3rz66qtA5Yok1BQm0LW1tVX80GHDhvHuu+8C0getTM6fPw/cmX/FmkLMf2KsHDt2LOvWraNr166FVr+/G4R9wp3Ozn///bfG/xTMmTOHdu3acezYMSWumZWVha2tLQ4ODnh4eBAQEICDgwP169cv1EdU+65FIe7Fw8NDScQ0mUy0bNmS9evXY29vr7lmSc3BwcEBuGNz6nVKYmIiULHzaUkCXZAddGsyFSnMFfTo0YPWrVsr6wu1DaekpJCbm4u9vf0934PJZMLe3p5nnnmGf/zjH6SlpSlrfOFDrF+/nn/961+y4JBEobQCXVHQqjKLwZTUMVcKJ+4vKqqDrogRRUVFMXny5ALCXHUcQQpz7z9EIYx///vfpKamYm9vj16vx8bGhsTERCIjIzWdm0qiPLqaFYelIEis06ysrBQRkIid5ubmEhcXR0pKCiEhISQkJHDkyBFu3bpFRkaGcv/qtZMoamc0GuXYWYlYPv/qFhuRHXQfXCy/9yWNAfdiu8V10C1MoFuWDroixtO0aVPleiHfxoUPWZQwV/qX1Y/S2pz6WVcklrEdkXdnZWVFz549qVevHtbW1mzdulUKdB8QpK8pfc0HFWFD6uZPXl5eSo56YRTVdKq8EGP0l19+SXJyspL7JNb8jRo10uQrSe5PhG3VqlWLWrVqERwcDMDt27dxcnJSxlX1nK7ewyxvhH+p1+sJDQ0F7uQ7idetra3p169fhZ1fIpFIJPeGzCCRSCqAZs2a8d577/HOO+9w8uRJJeEH8kVcSUlJrFu3DqBMAl3h9KWlpTFp0iTCw8MLCHPF+zZv3qwIdy27+Vri4uKC0Wikffv2+Pv706lTJ4KDg5UFUWm6UTg7OyvBIrlortk4OjrSsGFDzp49qxErREVFcfDgQUaNGlWm52op0DWbzfz4448kJiZKga6kRiAFuvcvluNLbm4uubm5HDt2jPj4eFJSUpQqlg0bNsTLy4vg4GDq169fpcJckUQurt1gMNCqVasCwlw1ffv2ZcSIEXz//feKOEPY9r59+/jmm28YP368HG+rMeLZdO3alW7duvG///1P2QgWm8OHDx/m8OHDjBw5ssDcLT7/yy+/8K9//QtAs7EsukvpdDpsbGwUgW9aWhoAycnJAJpNaHF+4X9++umnWFtbM2/evAL+r6VAV1xPcQJds9nMuHHj8PX1rfg/sKTaUFynXbPZjIODg9LRybLT32OPPcb06dM5ceIE586dIz4+njNnzmAwGEhKSgLyhbfq6r0i8V0t0lV32lUL0kXyJtwZp4cOHap8p6TfWrUUJpwAbZL4woULmT59OlC+z8vf359Jkybh4uLC5s2biYuL0wh0xc8HDx7k3Xff5eOPP1bsTlQFFgLdtWvXFiicIKm5FLapXJjdlcYeixPoqhMwPvjgA+Uzld0x1xK1QHfJkiVcunQJQCPMlXZeubRu3ZrnnnuODRs2FPDDjEajYifTp0/XCHTv5RmpRa7z58/nzz//1BR9gfzEnKNHj/L111+j1+uVwgpFISr4N2jQgK5du+Lj40Pnzp2xtbUtUMW6MPGjyWSibt261K9fn4iICFq1asWmTZukMLeG4+/vj6+vL0lJScoaB+Ds2bNkZmbi6OhYoeeXAt37k8oQ5sId+/H09NQUxFInEZfVRsS11a9fnzp16pCWlqbch9gLOH/+PKmpqbi4uMi5WaJQnEBX2I6gsGIwGzdupFWrVpXeMVcKJ+4/KkKga21tTXJyMkOHDiU7OxsHBwdyc3MBKcx9ELCyssLW1pZmzZpx4MAB8vLyFBFFamoqN2/evCvBBFS8aEJNYXYo7NPOzo5GjRrRqFEj2rVrB9wpPp+dnc3Zs2e5ePEiN27c4Pjx45hMJhISEpTPg1yvVxbqdUB8fDy+vr7VMq4sBboPJuJ7f+XKFa5cucLevXuJjo5WbNTNzY2ePXvi5+dH7969lc/d7fq2OIGuetwsD4EugKurK1BQaBEfH690z5s+fbr0L6sxhXVUjI6OJjc3l+vXr2Nra4u7uzv29vY0b95ciUNafr6isRSnBQQEMHnyZAAp0H1AkL6m9DUfdNS59KV9b0Wya9cuTp48qbkeseYfNmwYTk5OFX4NkuqDelx0cnJScjXEOKUunllRiPF5xYoVXLp0SZMvZzAYsLe3p0mTJsp7JRKJRFI9kFkkEkkFYDabCQoKUjp/qAW6oupTeQh01cLciRMncu3aNY0wF/K7OJlMJqKjo5XrE53OxDkBzfmzs7MxGo0cOnSIkJAQvvnmG+zs7PD396d169bUq1ePXr164eTkREBAgPJ5yA+oenl54eTkRM+ePeWiuQYjBDbz58/n6NGjJCQkKIuLlJQUvv32W4YOHap0tykPge5TTz0FIAW6khqFFOjef6jHlbi4OM6cOcOOHTu4fv06kZGRBd4vxqJ69erh5+fH6NGjadGihVJl1/KYZaUkYa5aaPHyyy8zbdq0Iq9BvNa9e3d+/fVX8vLylKqUIsBz+PBhnnjiCZydneV4W83x8vJixowZHDp0iNjYWMU/1Ol0pKSksHLlSrp3746vr2+BjfBTp07x8ccfKwnFauFh7dq1ady4MVOnTsXX15cWLVoAdyoF6vV6fvvtN86dO8f27ds1laJF9zthkx9//DFubm5MmjRJ8UnVYiTx765duyrXVZRAd+vWrQBSoCtRELbk6ekJ5FfuFcTGxuLv74+/vz/Dhg0DICEhAbPZzKlTp4iLi+Py5cucO3eOjIwMYmNjlaQKyJ/v1d8P9ZpKVkivvhTVMVc9X77yyivKfFkRz6t27dqMGjUKNzc3vvjiC2JjYwt00DWZTOzevZt33nmHRYsWKfYkRBfqStIldX+UVF8si1NERUWRnJzM+fPnlSSMpk2b4u7urhQbKK3/VZRAVyTyqDcPhQAcqkaYKxAC3VdffZUFCxbQvn17GUeqItSFUoTwS51QK+yoPAS6lsLcP/74Q1PcQiCSH0+dOgWgVKZWj4Fqn9ZgMHDr1i0SEhI4e/Ysu3btAqBJkyY4OzvTp08f/P39adu2LX5+foUW+rC2tsbJyQlra2uCgoKkMLeKKS9xqpeXF25ubsTHxyuvWVtbk5OToxRjqWikQPf+orKEuXq9Hjs7O6UzrjqJF+4IxMqzoMzkyZN5/fXXCxSdvX79OitXruS///2vnJtrIOquNsX97l5il2qB7uLFi0lPTy+wVwn562Xhc27atImWLVtKYa6k3KgIgW52djZdunThr7/+UgRBkJ+kK4W59y9iPBQxRoGYd2/dunVPx61M0YQllh3PIP8+nZ2dcXNzw9fXV+m+k5ycTHZ2NkePHiUxMZHQ0FAaNGjAG2+8AUibr0jU/v+iRYvIyMjgmWeeoXnz5lV8ZYUjBboPBuIZGwwGMjMzWbFiBfv37+fGjRvKe9SF/vfv34/JZKJPnz507tyZ0aNH4+LictfnrcwOugEBAUonsry8PGWdrtPpuH37Ns8995z0L6sx6nzH5ORk/ve//3H58mUOHToE5BebtrW1xcbGhqCgIOrVq8eUKVOoV68e3t7elZ57pj5Ps2bNpED3AUL6mtLXlFQf4uPj+f3335VC7upGFgEBAbRu3bqKr1BS2ajHMfW+TGHjXEVy5swZjhw5AqDk4Ilzjxo1qtquDyUSieRBxsps2UZGIpGUC8IRCgsLK7SDrroDhI+PD9OnT2fmzJlA6RaXxQlz1RXTLRfPxX3l1e9XV5MTAh/LrhTOzs4AdOrUidq1a9OtWzcCAgLw9/fHwcEBgN9//53HHnus1PclqZ6YzWbS0tJYuHAh+/btU4LNVlZWGI1GpkyZogQAyxqwEXaSnp7OF198oQh0AaVqoQjo9+7dm1mzZkmBrqRaIWw4MzOTVatWKQJdKGjD3bt3Z/bs2VKgW81QjyVms5mVK1dy8OBBQkNDlfeIjWSxySiCcyIR02g04ujoiIODA0899RTt27cv14BdccJccX33kiCUm5vLxIkTOX/+vEY0Ke517dq1mkRiSfVEPLeDBw8ya9YspXOtsBuDwcAjjzzCZ599hp2dneIfZmVl8emnn7JlyxZyc3M1m8udO3dmypQpdOjQQbNJJLrpqkUKP//8Mz/++COHDx/WbJKrRePW1tZ88MEHDBo0qNh7ADh06BDr169XinOI75+wTR8fH8aOHVsqga7l91v6DRVDdfjbZmdnM3jwYOLj4zXCWS8vL7Zv307dunWL/bzJZCInJ4fTp0+TnJzM8ePHiYiI4NatW4SHhytCDjXq74HBYJCJGNWIojrmqufLihbmqklLS+N///sfa9asIT4+XplzQVvwZeHChYwZM6bCrkNS+ViOjz/88ANnz57l+++/Jy8vr9BuoN27dycgIICZM2fi6uqKk5NTqcbZ2NhYtm/fXkCgK65DTVUKc9UYDAYiIiKUInBy7Kwa1PYVEhLChg0b2LdvH5Dvh5nNZk2hg7sV6JYkzC3JXysqvmkZAxUJkup1jYgfeXl54evrS1BQEB07dqROnTq0a9cOnU6Hvb09ZrOZ9evXM2HCBCnMrQLEcyuqC8PdisjEumbu3LkcOHBAmXuFL7B169ZKTbIxmUwcOXKEVatWcfDgQUD7/RL39sgjj0iBbjWlsoS5ambMmMHBgwc1ezYGg4Hx48fzr3/9q8zrMPH5mJgYXnzxRU6dOqWMneIeGjduzNKlS2nVqlW1WPdJSqaw55SRkaHEiuzt7TGZTAU6y9+L7WZnZ7N79+4CHXTV1yKKIXz88cf07dtXs59ZVqQwVyLIzMxk/fr1fPLJJ0B+US5152adTldqgW5UVBQff/wxO3fu1BRok8Lc+xsxfh49epSpU6dqiruZzWamTZvGK6+8cs/zYUZGBtu3b9eIJoSdquNVy5YtY/DgwZprqkiELRd2rszMTCU/RNp8xaH2+998802lQOnYsWN58sknqzwBuzg7VK9ljh07xurVqwvEE8TPwm+WAt2agTqHZ8+ePezYsYPQ0FBlXhR+n7phBeQXX7Ozs6Np06YsWbKEgICAe4qvxMTEsG3bNo1AV4yV6p/nz59/zwLd2NhYBg4ciF6vV14zm83Ur18fOzs7wsPDpX9Zzblx4wYrVqwgLCyMK1euFGiSIta46tiim5sbHTp0YNSoUYposCq5cuUKGzduVMZ/9bpK7SMsXrxYCnRrMNLXlL5mdeBB/jur7/3//u//+OKLLwA0e0pms5nJkyezaNGiqrzUBxZLHcODgrhfvV7PkiVL2LJlC5Cfcyz8mKVLlzJ8+PCqvViJRCKRFEBmk0gkFYRwDCuig25Jwly1AFgsqIVzJhYO6oChWiisvn7IT4TKy8vTVAUS1eZMJpNS8XD79u1YWVkREBCAm5sbr7/+uhTm3idYWVnh4eHBqFGj2Ldvn2JTImC5b98+OnbsSP/+/culkprsoCupyZS1g6604apFPKOMjAwOHz7Mt99+y99//608EzHfimCHel4XP4tj6PV6srOzWbp0KY899hj//Oc/adKkSZmvsaKEuUajEXt7e2bNmsUbb7xBRkaGcj/29vbk5uby6aefEhQUhLu7e5nvQ1JxCJvs1q0bzzzzDCtWrFDmbqPRiLW1NSdPnmTjxo1MmzZNSfS4efMmP/74YwFhbt++fXnjjTeoU6cOQAF/U2yiCxsbNGgQgYGB/PLLL6xdu5asrCxNRVYxBn733XcEBgYqApzC7qE8O+iK99+8eZO8vDz8/f2lj1oGiguGWwpqqmJuc3BwwNXVldjYWE3yul6vJzk5uVhxrrAxJycnxf7ExmRGRgaRkZFkZGRw7NgxEhISuHTpEtevXyc3N5fs7GwABg0aJBMxqgnVTZgL4O7uzuDBg8nKymLDhg0kJycrfqDwMTIyMvj111/p0KFDufgPkqpH2FZWVhZhYWGsX7+e3bt3K78XFfvViV0Gg4GQkBBCQkI4cOAAvXv3ZuTIkTRt2rTEsbW4DrqgHauFMHfjxo20atWqygRgNjY2UphbDVDP3d27d1det+x4U1QH3ZJsszhhrlo8q95oVscj1cIeS8GPpcDHUugoPmcwGEhPTyc5OZmLFy/y/fffY21tTUBAAO7u7jRr1ozRo0crc4NlMRpJxZKXl8eYMWMwmUx4enrStm1bmjVrRv369QkODsZoNOLk5AQU7ncWJuoVz75ly5YcOHBA+Yywoejo6EoV595NB92XXnqJ999/Hw8PDzk2VhMqU5grbDsxMZHY2FhN7FD4sh06dADKLm4Un69Xrx6tW7fm5MmTGiG82Wzm2rVrHD16lFatWsn4ZTXGMm4TFhbGxYsX+euvv0hNTSUiIgKDwYCDgwM2NjY4ODjQtm1b/P396dWrF3Xr1lUSYi2PVxzqDrqWAl0xR4tY06FDh2jevDn+/v7lcs9SmCtRU1QHXdF17G476Pr7+/Pcc8+h0+n43//+B8DLL7/MjBkzAGlH9yti3PP09NTkSgjS09M177tbqrKrWXEU1wlIzA1FFdGRlB11POaNN97gu+++U2xh69atGI1GJk+eTFBQUJVcn7DT27dvA+Dq6qr5vdpGi+qgq7Zx2UG3ZiDmucTERD799FMOHDig7LuI/9SCMsgX5Yp4jslk4sKFC8ydO5cFCxbQs2fPu95rLq6DrnrcvNcOusJGHRwcyM3N1YyD0dHRBe5H+pfViytXrnDw4EE+++wzpUOu2kYtcyPF89XpdKSnp7N371727t3LggULmDhx4j11eS4viuqgazAYZAfd+wjpa0pfs6pR587ExcXh7++Pj49Pgd/fj6htbP369Yow17LIcbt27Xj22WeVf8tYaOUgbC83NxcHBwfNft/9apMC9T1+9dVXijBX7XeazWb69esnhbkSiURSTZEZJRJJBVIRAt3ihLmApoOf+vNOTk7Y2dlx+/Zt8vLyMBgMSmBU/F98Vp0UrN7AVzt46uQ28XsbGxtyc3O5dOkSffv2JTAwULnu+90xflDo1q0b/fv357ffftNUEoyIiGD37t20b98eHx+fMi9IpUBXUtOxFOhaWVnx/fffFyvQtbKyolOnTnK8rELEs0lISOCzzz4jJCSEqKgopTiFOnFXHfhQ/6xOWDSbzYqo1draGg8PjzJfY3HCXHXXFLj7yv1iwz8wMBAvLy8yMjKUexMdsZo3by6FuTUEMQ/27duXEydOcPDgQU0iZGZmJnv27OHhhx+mRYsW5OTksGLFCpKTk7G1tVVE6I8++igfffSRpoNKUXOsOkk4ICCACRMm4OPjw/vvv09mZqZG3A5w+vRpQkNDCQgIKNRGy1OgK95348YNZsyYgYODAytWrKBx48YPRBC3vFH7Wnl5eYSHhxMbG8u1a9cwm804Ozsr40Xz5s2V91aW2Eucp0mTJly6dEmT9JORkcHx48dp0aJFkZ8v7BrFMV1cXHjooYeAO4U14E7X8czMTJKTkzlx4gRwp5MBPBibBNUZS+GE2NyuSmGuwNvbm6FDhxITE8POnTvJzs5WvivClwwJCeHgwYM0adJErnFqOMK2kpOT2bhxI3v27OHy5ctKchCg6ZqrFhiK34eHhxMTE8OePXv4z3/+o4xBxVGUQFf4jmrBzRNPPEGrVq2qzbhVHa7hQaY0Al2j0UheXt5dCXTVwtxnn322QMdc9XNXFxK0tbXVFBAU6y/IHzN1Oh1WVlYFBLuWBQjFuk3ET9Wx1PDwcIxGI3q9nldffVU5juxWWnkYDAamTZtGWFiYMl4dOXJE+X39+vVxcXGhU6dO1KpVi2bNmtG0aVPs7e2pXbu2ZtwU45l4vtbW1nh6emrOJ3yC2NhYzWcqg9IIdK2trQkJCWH27NmsW7euSpNDJXeo7I65wp6PHDnCjRs3lNeETXt5edGsWbMyn0cgxs25c+dy8OBBrly5oilYZzAY+PLLL+nWrRvBwcHldl5J+SKe2Y4dOzh16hTfffedsmco5j3QdhgLCwsDYPXq1fj4+DBlyhSaNWtG27ZtCxRCKI6SBLri/Js2bSI7O5unn36aevXqlel+pTBXUhjlLdBt0KABTz/9NOnp6bRq1UoKcx8QjEYjbm5ueHl5kZKSoszBRqOR69evk52djb29/T3bQHUVTZSEjE9VDIUJcy39sO3bt9O8efMqEecKm4yKimLChAmMGTOGadOmFdgzlALd+wsxz8XGxrJo0SJOnjxJTk6ORvAIRY8L6hiMjY0NcXFxvPvuu9y+fZuhQ4fe9RpXCHTNZjPr1q1Tig1bihbvRaCr0+nw9fWlQYMGnD17VnndMq4kfFrpX1Yf9u7dy5YtWzh69KhGtA0oMSHIj7mrf1bHBw0GAx9++CHh4eG88MIL1KpVq/Jv5v9TnEBX7SNIgW7NRvqahSN9zYpHzFeRkZEMGjQInU5H8+bNmT59Oi1btqRBgwaK3VW1PVQE4n6+/vprlixZAhQU5taqVYshQ4YUKBIqqVjUtrlw4UJ69erFwIEDqV+//gOxTye+d19//TUffvghUNA2AwICZExKIpFIqjFSnCuRVDDlKdAtqWOueiO9fv36NG7cmNGjR1O7dm3q16+Po6Mjt27dIjU1ldu3b3PixAkSExO5cOECUVFRSrK6OolNfQ3qpDh10EpsbotE0uHDh7N06VLlfXJxcv/g4uJCly5d+O233zSJ40ajkV27dvHQQw8xc+bMcgnWSIGupKajFugKgWRxAt2cnBzmz5+vEaBJKg/xTKKjo3nppZe4cOGCUhVXzMPqBDYx3wKanwFlTjabzeTm5mJvb8/cuXPx8vIq0zWW1DG3LMJcNU2aNGHq1Kn85z//0RT8GDZsGG+++aZyj3KMrRkEBQUxZMgQTpw4oQhyRHLiiRMn2Lp1K2+//TZ6vZ5r164pFa7NZjNt27Zl0aJF2NraltqO1Hbh7e2tdIb89NNPyc7OVhLNdTodWVlZfPbZZzz66KNFdrstD4GueJ8Q5sbGxmJjY8Orr77KkiVLpED3LlALueCO0Cs0NJS9e/cW+n5HR0f69OlDx44dGTJkSKWJCURgvlmzZvzyyy8acYPRaCQlJeWej6lG/D1sbGzw8vLCy8uLpk2bKr+XdlW1VGdhrsDPz48pU6Zw7do1Tpw4ofgZJpNJmdc/+ugjOnToIMUPNRh19en//ve/hIaGkpaWpviZ6k626lgL5Cd9ibE3Ly+PiIgIpk6dykcffaQIH4qjpA66gm3btuHt7c1zzz0nxy4JUPYOupbjakkdc0WnXKPRiIeHh1LEoE6dOtStWxc7Ozuys7OJjY0lMzOTiIgILl68yO3bt7ly5YrGpsV4KmzdUlSk/q6J3ws/uHXr1mzcuBE7Ozs5l1cyeXl5TJkyhZMnTyrrFrWAWqzZIV9EJoqnODs707JlS9zd3enQoQMNGjSgXr16+Pr6KrYF0KNHDz7//HOl+4TwE0+dOlX5N0zxAl2xbyASL+3t7avkGiX5VLYwVxAeHs7GjRsBCiQZt2vXrlzFGWKMdHBwoE2bNly5ckW5R/E91Ov1nDx5Uulk/SAkRtUksrOzuXz5MuvXr+fnn39WnqmYg9VzoXoOFHPw7du3SUlJ4T//+Q82NjbMmDGDvn37EhwcrLynpGdelEDXYDBo1jrbt28HKJNAtzhhrhROSIoS6BoMBk2RmdIKdBs2bMh7772ndIqUdnT/I4RaDRs2JDk5Gcj3H2NjY8nNzcXR0bFM5yhKNGEpvqluoglJ+VKUMFcdxxS2cP78eaByxyD1/uTkyZNJSkpi1apVODo6Mm7cuHsS6JpMJinQreYIG4uKimLu3Llcu3YN0BYLMhgMBXLJBOqYjOXz/vzzz6lVqxaPPfbYXY9n9erVY8yYMVhZWWk66BYl0H3mmWfu6vjqfSzLAorSv6x+bN26lc8++4zExERNAQB1V0QRFxJrePXPwnZNJpPiG16+fLlarHNlB937H+lrSqoCMV9FREQwadIkxdc8e/YsCxYsIDAwkG7dujF27Fhq166Ns7OzJpZUHeziXuKR6mvX6/V89dVXhYofxXs6d+7MgAEDlHiapOJRC3PHjRtHSkoKJ0+eZNeuXTRu3Jinn34aHx8fTYfn6mKT5clXX32laC8shbnOzs707t2b5s2bA7LQtUQikVRHpOcgkVQC5SHQFRvWRXXMVQtyhg0bxrhx42jVqpWmyxnc6aDboEEDACWxTq/Xk5qaSmxsLMePHycxMZEDBw6QmZlJXFwcQIHziCCV2NQX1zh06FDFOZTBx/sLsZiZNGkS+/fvZ9++fZrEDoPBwPvvv4+fnx8DBw4sl4WPFOhKajqlEeiKzqrHjx/Hzs6uiq/4wUQdfJw+fTqxsbHKJpt64xvAw8ODBg0a0LFjRwICArCzs8Pe3p4zZ84QHh7O8ePHSU5O1myWz58/n+Dg4DLNi0UJc0VhjPIS5opxs0uXLjRv3pyrV68q8/u77757T8eUVB3ieQ4fPpzLly+zdu1axY8T8+e3335Ly5Yt8fLy4tKlS8Ade7Kzs2PIkCGKwPVen7mrqysDBw4kPj6ezZs3K+I44dsmJSWxe/dupkyZUqRtlVWgq9PpuH79OjNnziQ2Nlb57pw/f5758+fz2Wef0bBhw3u6vwcJ8TfOzMzk2LFjbN68WfEHAezs7Ap0wsnOzmbXrl3s3r2bzZs388orrxAcHFzmYgWlRXRGsxS7nThxQjNO3yvi3ova/JFjZdURGRnJpEmTCghzRdIFwMKFC6tUmCto1qwZ//znP5kyZUqBTj42Njbk5OTw888/K12opV3VLNQFYJ5//nklgVLdXUI9log4i7o4DGhFFMKm//GPf/Dpp5/Sr1+/Em24uA66osiAwWDgiy++wNramueee06upSVA+Ql0SyPMhTvrnrZt2zJ16lTat29fZAEXgRgvL1y4QEpKCvv37ycqKopr164p627hBwgfRZxT/R0U19iyZUs2btyIvb295polFY8QxqiFuWIMFHO3uuCKeGZWVlakpaWRlpZGXFwcZrOZ7du3YzKZ8PT0pFmzZvj6+tK7d29q1aqFt7e3pvOysI/MzEzl2EKAWFnjYFECXTs7O/R6PS1btuTrr7++q6JJkvKnsMIvYv708fFhzZo1FSLMzcnJYf/+/YSHhwP5+zQmkwk/Pz+lSn55imStrKwUocUPP/ygJNyL70t2djabN29m2LBhODs7l8s5JeVDcnIyW7du5ddffyUsLEwjvBWF2ATqOd6ys7wYY/V6PcuXL+fPP/+ka9euvPDCC6W2MyHQNZvNLFmyhPT09EITgMsi0JUdcyWlobgOuvci0BXCXPW6TXL/IgoZqIVaYt8oOzub27dv4+HhUebz1NSuZpLyoSRhrnjGwg9MTU0FKq97V2H7k46OjmRnZ/Phhx9iZWXFmDFjCnwXZAfdmo1aHDF9+nRiYmI0xXdF0RWA1q1b4+7uTp06ddDpdFy+fJmIiAgSExOB/HiMWqCbmJjI4sWLadq06T0V0BUddIECAl31uHk3Al1xDfXr1wfQiDyFLUv/snqxfv16peMh5OfmWHZ2NhqNODs7YzQacXR0JCcnR3kdUNYQeXl5PPTQQyxatKjS9jFLoiiBrnoPSQp0ay7S15RUNsIHK6wAobCDy5cvc+nSJf766y8aNWrEU089Rf369fHx8SlQBLUqiImJISwsjObNm+Pv71+qa1H722fOnOGHH35g8+bNgFb8KHwcsXdfXeaCBwF13ubEiRNJSUnBwcGBnJwcrl27xpUrVzhx4gSNGzdmwoQJdO7cWWOT1YG0tLQCRYtKQm2b8fHxfPPNN3z++edAvm2qc/MfeughpkyZUmlNESQSiURy98jsEomkkiirQNfa2rpUHXMnT57MokWLlPNaBgHViyRxTp1OR+3atalduzZt27YFULpJHTp0iMjISI4ePcqVK1fIyMhQAq3qIKoMPt7/qKuiz5gxg/DwcKKiopTXhR1+8MEH+Pj40KlTp3I5b1kFuhJJVWMp0DWbzfzwww/cvHkTa2trcnNzAfj000/p0KFDFV/tg4cYR65cucLUqVNJTk5W5lgReLOzs8PNzY0JEybQo0cPWrduXeA4ffv2Be5077l8+TIrV64kOTkZe3t7Jcn2XudFMd+KitTqjrmWAuKyCHMh309o2rQp7du35/LlywwbNkwKc6uIsv69xcajtbU1//znP4mIiGDPnj1KoqWYu9evX4+fn58myb127dr07du3QKGXe6Fu3boMHDiQgwcPFui6YzabOXLkCFOmTCn2Xu9FoGsymZgzZw7p6emKMFfcs0i8S0xMlDZdCsTf9tatW6xbt44///yT8PBwRcxiNpvR6/XK+0XCr/DRAK5cucLChQsZMWIEw4cPJyAgoMKvu1WrVjg6OqLX65VupIAyB8tnf38SHR3NsGHDyM7O1nSYh3zbXLBgAdOnTwfKV8hwL5jNZjp16sS//vUv3nrrLUX8IK7NbDazZ88e5syZoyQBS2oG6u4SM2fOJDIyUiNsUQsDzWazxlbVHUDFeCXGMLUY6Pnnn1cSyEvagC5OoKveeBebflKgKxGURqBrKW5QC3T1er1SiKokYW737t1ZtmyZknRUWEV28bNICNXpdLRr1w6APn36AHfm+uvXrxMeHk5ISAgpKSmcPn1aI8pUFxjJycmhVatWbNq0SQpzqwCDwcCTTz7J6dOnNQmU6qRX9XikFu6qK9qru/eYTCbS09M5evQoAD/99BMAXbp0UYp2qEVq0dHRnD9/nhYtWmj8ArW9VaTvKAS64h5CQkLQ6/VKJ2dpl1WL6CShTlgTYkcPDw+2b9+Or69vuT4jYXPnzp3jq6++4vbt2wWS4QMDA5VCrOXtz5rNZlq1asWYMWP49ttvldfgzrh59epVNmzYwFNPPSXXVdWE+Ph43n33XQ4dOkRKSooyHopuZWI8U49/6oIw6nlWIPzDCxcucOHCBU6dOsXrr79O48aNcXBwKPGaHB0dGTBgAFZWVpoOupaJ5Nu3b8dsNvPMM8+UWqArO+ZWf4r6W1dFEm95d9CFyhPFSaoeGxsbWrZsyd9//60RE6anpxMWFoa/v3+5nEeKJh5MihPmijkc8sdOdRGhynjuRRUOVgshly1bRnZ2NnPnzi1QhFoKdGsmlh31kpKSCuydOzo60rFjRwYPHszAgQOxt7dXPp+ZmUlGRgbLly/n+PHjhIeHF9oxOS4ujv/+97+sWLGiVL6lJUUJdC3HzdIKdMW836RJEwCNvyB+L/3L6sPatWuVZ6Aueils1MbGBp1Ox4gRIwgODuaRRx7BaDRia2vLpUuXOHv2LH/88QcRERHK/mbDhg2ZNWsWrVq1qspbK0BxHXTVti5yRaVAt2YhfU1JZSKK2k+dOlUT5xRCcXVs/fr161y/fp3Dhw/TsmVLBgwYwOOPP46Xl5cyJ1a2bYiidD/99BP+/v48++yzGp9RHd9Sx/R1Oh15eXl8+eWXHDhwgJMnTwKFC3Nr167Nxx9/rBTrkFQ8lr6nsM3c3FxlHNLpdCQlJZGUlERoaCgdO3akVatWTJ8+HWdn5yrv8BwbG8vnn39O7dq1mTBhgvI9KSkPRfzu119/5bfffuPnn38GtLYpxmd/f3/++9//lljUWCKRSCRVi9zJl0gqkXsR6BqNRubMmUN2dnaJHXOnT5/OwoULAW2Avqhrsez0pHZMPTw8sLKyYtCgQQDMnj2brKwsrly5wqlTp4iIiODgwYPk5eVx8+ZNGXx8QBC2EhgYSNeuXYmNjQVQguhwJwlk1apVuLq6EhQUVC7nvVuBbmpqKm+99RbBwcHlcn6JpKyoBbqzZ88GYOfOnURHRwOwfPly+vXrB1RthbkHDbVgYsaMGSQnJyvBRxF4c3NzY+zYsTz66KMa8bQ64VJsxOl0OgIDAwkKCqJDhw6cPn2a3NzcQsW8d4OVlRXp6ekMHTqU7OxspaKrZYGOsgpzLf8uo0aNwt3dnX/+859lPqakZNTf/bCwMIKCgpSxoyx/d/FZW1tbJkyYQGRkJFeuXNF0Ebtx4wbh4eHKuaysrBgyZAh16tQpt+fetm1bJkyYwL///W/F9xX3+/fff3Pp0iWlK2RR3K1Ad8eOHaSnp7Nnzx7i4+MVH9rGxoa8vDzc3d35+uuvy21T635F/E1v3rzJv//9b44ePUpGRobyDNVJQpbPT/xOPJ+kpCS2bNlCXFwcs2bNKjdfsShcXFyUoLfAxsaG1NRU4uPjqVu3boWeX1L5mEwmDh48qCRTCOEOaMfZ+Ph4cnNzsbe3r1JhLuR/b3r06EGvXr3Yt28fkH+9Op2O8PBwNm/erKyFJNUfdXeJyZMna+YhyN/kBahfvz6BgYEMGjSIWrVqkZOTg16vZ/fu3Vy5coWLFy9qYkagTQ775z//yapVq0o1phYn0FUnYEiBrsSS0gp0LTvorl69mkceeQQoKMxVb0objUZ69uzJl19+CeSPgYX5GOLnwnxUcUxfX1/q1KlD165dmTRpEnl5eVy8eJHU1FT++OMPYmNjOXv2LGlpaeTk5BAYGCiFuVXIzp07cXBwoGnTpiQlJZGbm0teXp5mzSKSadTCK0Dzf/GzmP/VnZGFkPLIkSOANnETIC4ujnnz5hEYGIinpyddunShdu3aNGzYEH9/f/Ly8jTJxuL4ll1ZyoK1tTWdO3fGysqKlJQU8vLypDC3GhAdHa10khDdjNVjU506dZTOy+X1jMRYFh0dzaJFi7h586biR4iCWk5OTjz//PN31cHhbtb34h7btm3Lli1bADTfJYGME1UPYmJieOGFFzhz5kyBTlHiGYl/q8W36p/F2lldGFjdNVmn03H8+HEWLFjAtGnT6NOnD7Vq1Srx2kQHXaBYge6OHTsASiXQLU3HXHGvcu+yahB/69jYWGJjY/Hw8KBRo0bY2NgUmC/Lax4tifLuoCt5MBB26ePjA+QXURPrH9HBtLyQookHi9J0zFWvh+DOmBkbG0tGRgbOzs4V+tyLEuYKAYcaJyenAsJcQWkEuiLXxNbWlqSkJObOncu6deuqnUDuQcCya5lauCNs08PDg2eeeYZHHnmExo0bK58Vz9PBwQFnZ2dee+01/vjjD7755huOHz+urGfE87aysuLChQscOHCAfv363dO8W5xAV+1r3k0H3UcffZTLly/z/fffa/xOKcytPnz99dfKMygs5u7i4sKAAQMYMGCAEpdUU69ePfr06cMTTzzBuXPnePPNN7G1tWX8+PH06NGjyPGsKimug67RaMTe3p7c3Fxee+01GjRoIAsc1BCkrympbPR6PXPmzCEhIaFAnBO0MXbhl2ZnZxMaGkpoaCg//fQTzZs3Z+7cubi5uWm6d1a0neTl5bF//362bdvGrVu3iI2N5ciRI8ybN4+WLVsqDTUs7+fixYscOXKEH3/8kQsXLii/UxeZF/OHl5cXa9euVQp1SCoHa2tr4uLiGDt2LGlpaQWKr0N+7Eg8q+PHj3Ps2DH2799P06ZNmTp1Ks2bN8fFxaVAgaOKJiMjgz///JOff/6ZzMxMLly4QK9evRg9erSyX6Be+4nrSk1N5datW3z22WeEhoaSkJAAFO7beHh4sHLlSho2bFjh9yORSCSSsiF38yWSSuZuBbqbNm1SkjIthbnqZM4ZM2bw8ssvA/fe+aewRDd1RRlXV1fat29P+/btgTvViPR6PSdPnmTgwIGADD4+KHh4eDBjxgz2799faHJQaGgoW7ZsYdasWeUmeClJoKvT6ZTAQWZmJk2bNi2X80ok5YWlQDcvL4/vv/+et956SwpzqwB1gtC8efNITExUgs1CuOfj48N//vMfOnTogJubm+Zz6oRLEQASP8OdTR0/Pz/NhnlR86PlvF2YHbi6ujJu3Di++uorRUQBlLswF/ITK4OCgpSNbzm/VyzqZ/7VV1+xdu1aZs+ezeTJk8tFoCvo2LEjvXr1IiIiQukiKuZuQJNkK0SL5XFecX9jxoxh9+7dSkK8CKDq9XqSkpIIDAws8Vh3I9BNSEjg22+/1SSXiu+3m5sbX3/9tfQXSkD8LaOjo5k/fz5hYWFAfqEftX2KDUPxe7VQQV3EICMjgz179mBvb89TTz2ldHoqb8xmM56envj5+XH16lUlEdlgMJCWlsbFixelOPc+xNramj59+qDX61m5ciVJSUnKuAD5Y8jXX39NVlYWb775Jo6OjlV81Xfw8/Oje/fu7Nu3TxMXEN+ry5cvV/EVSkpLYUlsRcVyRowYwdChQzVzmqBHjx5kZ2fz4Ycf8uuvv5KWlqYcW1Sx1ul0JCcns2XLFl544QXFZy2OogS6lgkYUqArsaQ0Al2TyaQRN8yaNYtNmzaxZcuWAh1z1cLcXr168cUXXyj/vtfCCZbrMvGdsbW1VYom9ezZE4CoqChiY2M5d+4ckydPxs7OTgogq4jhw4czfPhwsrOzSU9PJyoqiosXL5KSksKxY8e4ffs2MTExpKenF0jKADSdTEUCkTq2re6uK15TF/AQ43JCQoKSAPHjjz8Cd9bifn5+eHt70759e9zd3QkODsbPzw9XV1dcXV01aya1b3wvdmxtbU3Hjh15++23CQwMlHZZDTh06BC3b9/G1tYWvV5fYJ1z9epVXnvtNV577bUyF2eDfNFhcnIyc+bMISIiQiOWFHP14sWLcXd35/Dhw1y8eFERPNrZ2WFlZYWPjw8NGzbExsaGJk2a4OTkVGB9Xxo7HTZsGH/88Qe///67Zm03ZMgQ5s2bV+b7lZSdqKgoZs+ezY0bNwoUthC2ajKZcHd3x8HBgQ4dOuDo6Kjsp0RFRREdHa0khIlxVm13kD93X79+nRUrVnD16lUmTZpEo0aNSrzG8hTolkaYK+YCKZyoGtSFigYNGqSIeVq1aoWvry8tW7akVatWeHh4KMUJLSmLP1gcxXXQVReZkQJdiUD4lUIwofYDAM6fP8+YMWPK1V+TookHg5KEuWLcKayoRlJSEpmZmRoxREVdX2HCXNA2EHj55ZeZMWNGsccrjUBXFAYRxz9//jwPPfRQlRdWfJAojTDX29ubDz74gM6dOxcQGIh/i+fp6OjIwIEDcXV1JTc3l3PnzmnGULPZTEpKCiEhIfTr1++e59u77aA7f/78Yo/XqFEjpk2bhrW1Ndu3b9eMw9K/rHp27tzJ+++/DxQuXvHy8mLRokV06tSJ2rVrAwWflRh3AgICCAgIoHXr1oSEhDBgwABcXV0r/6ZKSVECXbPZTF5eHgCPP/64FObWIKSvKals7OzsGDJkCGvWrCEvL0/zbB0dHcnKytLEVkQxDTHGnjp1ilOnTrFv3z7atGnDyJEj6dSpk1I0piLsRIzhJ0+e5KOPPlL2XAFlL9PGxoYOHTrg4+NDcHAwaWlpJCUlERsby/Hjx5WYkbB1ESsTiK6kK1euJCAgoFyvX1I6/vrrL9LS0nBwcCA3NxfQroUATeMAMV5eu3aNa9eusWfPHnr16kXXrl0VUayIF1aUvybs/fDhw6xcuVIp4Ll3714OHDjAtm3bGDFiBA899BB16tTBxcWFvLw8wsLCiIuL44cffiAqKoqbN28q16gWjYtcPl9fX9asWSNtUyKRSGoIVmbLGUwikVQKwjkLCwsrINAFNIsAtVhIbIarA97lIcy92+subDElg48PDuJZh4SEMHfuXPLy8gosYN3d3ZkyZQpjxoxRgp7lee709HS++OILRaArvhNt2rRhw4YN2NvbS5uUVEuEXWZmZnLz5k1l8SyDmZWH+FvfunWLl19+mZCQECWRXAQVa9WqxZo1a2jevHmFXos6kC4CmB4eHoXag9ls5pNPPlGEEoLyFOZKqpaNGzfyzjvvANC8eXPGjRvHpEmTgLI/W2FTKSkpzJkzh7NnzxZItBSBdZ1Ox8qVK+natWu52pTZbOY///kPmzdvVoRFQiw7f/585s+fX2pfVv0dOXToEOvXr+evv/4C8rtgWaIW5m7evFkKc0vAsrt4VFSU8twsu9E6Ojri7e2No6MjaWlpZGRkkJWVpfxeBJHV3Xvc3NyYOnUqU6dOrdBEoqeeeop9+/Ypaxhh9//+978ZM2aMnH/vU5KTk9m5cydffvmlRqBruZYeNWoUr7/+epULdNV2OHnyZEJDQwsU77K1tWXLli20bNmySq9VUjzFJbGBVpj71FNPMXv2bGUMtKyaC/lCsq+//ppvvvmGK1euACjjsXivv78///d//0fLli1LPXfHxsayffv2Ah10QZtkOW/ePCnQlWhQj1khISFs2LBB6fqtnvOF7yVQC3OFjVoKcytDhKjudqr+rkgBZNWgHu8KWwvk5uYqAp+4uDji4+M5cuQIycnJXLhwgfT0dE2ikDiesMWiOu2Kc4rX1GOcujuoOhlC4OjoiJ2dHT4+PgQFBeHp6UmnTp2oU6cO9erVw8fHp9CxWF1gQX1+y7+H+nW5xq8ebNq0iVWrVhEfHw/kz8Pqjs4tW7Yss0BXjENpaWlMnDhRU6xVbbuOjo60bt2as2fPotfrCxWtQ34n34CAAFxdXWnbti2tWrWiQYMGBAcHF2pfahsUv//uu+9YsmSJci6ZkF59iIyMZMqUKZoCqqD1Ob29vWnTpg1z587F29u7gOjVYDCg1+uJiIjg77//5u+//+bcuXOaAi5qoa/42cXFhe7duzN//nyaNWtWquvNzs5m9+7dLF68mPT09CKveeTIkYUKdIsT5oq1k+xoVrWo10OTJk0iKSkJBwcHcnJyCszTTk5ONGvWDHd3d3r16kXdunVp0aKFkphuSXH703dLZmYm69ev55NPPgG06x8h0NXpdFKgK1G4ceMG48ePJy0tTWOLDz/8MF999VWFnDMjI4Pt27cXEE2AdsxctmwZgwcPBuQ+Y02hOGGuOtncYDDg6enJ7du3Nc/eycmJDRs2EBQUVKHXV1THXPWYebf7k+rvz7Fjx1i9erUSTxDHbdiwIRMnTmTEiBGlKkInKR9KI8z18fFh1apVBAcHl+qY4nnr9Xpl3hXrd3VnSD8/PzZs2EC9evXKNIbFxMSwbds2jUC3sFjn/Pnzi+ygqx5HL126xKZNm/juu++AO4XFli5dqvl7SSqXY8eOsXTpUs6dO6eJr6gLr3/22Wd3tS4vKk5Ynbly5QobN25k69atQL59yzVQzUX6mpLKZP/+/cybN09TcBWgb9++NG3alJUrVxbIq1Cjtg+A3r1707p1a6ZNm6YUDlTHwcvDZuLj45kwYQKxsbEav1R9/YXJYIq6D3WRT1tbW4KCgnj//fdLVYBOUjHo9XrGjh1LWFiYZo53cXHB1dWVrKwsUlNTNUX5BMImxXPt2LEjQUFBTJs2jVq1amFvb6+8t7zHsfPnz/Pcc88RExOjxCzFd0s0ujKZTPj4+GgatqlR35PaNgGaNGnC8uXLZTdniUQiqUFIca5EUoWUVqCrdgirUpgrkagR1fdWr17NZ599pgTm1R0iPD09mTNnDsOGDcPLy6vczq0W6H755Zfs2rWLuLg4WrZsyddff429vb1MqpRUayyD4TKIWflkZ2ezZs0a1q9fz+3btzXV/nx8fNi8eTMNGjSo0I0L9Tj17LPPEhISwnPPPcfIkSNxc3MrUqC7fPlyVqxYAWgrUstNlprNV199pWzqikBdQEAAEydOLDeBrvj8tWvXmDp1agHBGqAIKTZu3Ejbtm3LfF8CYc/Hjh1j9uzZ6PV6TTByyJAhvP/++3c1HpYk0FUn6IvEOinMLR3qLieTJk1SCqGI9YbBYMDe3h5fX1/Gjh1Lp06dlGSgtLQ0bt++zaZNmzhz5gznz58H8jeHRXKR0WikVq1arFq1iqCgoHIfw8TxXnzxRXbu3FlAWPzEE0/wwQcfyDXUfUxRAl3QbhxWF4GuWPuLeV697tfpdFhZWfHFF19oulVKqhdFJbGJ6tNqu1uwYAFz5swp8ZjqMeqbb75h1apVxMTEFBB3mUwm+vfvrySXl5aiBLqW1ysFuhJLSivQtRR4FdcxV8ZxJALLzrdFCXGSkpJITU0lPDycc+fOkZyczKlTp8jKyiIpKQm9Xq95v/i82kbVHVAtUV+DEOyqi3qpEfbt7e1Nw4YN8fHxoUuXLnh6ehIQEECdOnWwt7fHwcFB87mamAT6IKF+Lhs2bGDNmjUFBLqQv2dTFoFuccJcgbpwi0At5FCPr2qRouVnHB0dadq0KXXq1KFv377UqlWLtm3bYmtri52dXYFrS0tLY+zYsURERDBs2DDefffdAn8fSeWjFj8WlUTbs2dPBg0axNChQ4ssGGD5HOPi4rh8+TL//e9/SUxMVESVhQl0HR0dad++PS+++GKpRRpFCXQt9z4tBbp5eXnY2tqW2DFXCnOrjsKEuepCRWK+LW4erVWrFnXr1iUgIIDOnTvj7e1Nu3btsLKyKlDYTS3Wvpd1SlECXXWRGSnQlQhiYmIYOXIkaWlpAEp8MyAggB9//LHCzitFE/cfdyPM7dixI++88w4zZswgJiYGyB9L33vvPYYOHVph11cRwlyBpUB3zZo1yr5Oo0aNGD9+PKNGjarW3SvvN0orzF23bh3NmjW7p328zMxMxo0bx9WrVzWdIcX+3fbt28ulYHZhAt3CfE1RMLgkLl26xIoVK7C1tWXZsmWA9C+rioyMDD755BO2bNlCXl6esuZVF17ftGkTDRs2fCDmwitXrrBp0ya+/fZbQIrHazrS15RUNm+++aYi8BfzsaOjIzt37uTmzZts3bqVvXv3kp6erlnLC38VCop0H3roIVq1asWECRMICAjA1tYWKB+b2b17N++99x43b97UdHgW168+j2VMVC16hPz4g9lspnbt2jzyyCPMnz8fPz+/Ml2j5N4Ra5BNmzbxwQcfkJeXp4xFjRo1ol+/fri5ufHLL79w8eJF5XOWsXNLm/Tx8aFXr1706dOHvn37Kq+X1zyp1+uZNGkSZ8+e1XT8VWMpHFbrQtQNEdRFB81ms1Jo84033qBBgwZlvlaJRCKRVB5SnCuRVDElCXQtq/mrnbLp06ezcOFCQApzJVVHeHg4n332Gb/88osm8UfYqre3N/Pnz2fAgAF4enqW23nVAt1ly5YRGxvL8uXLpTBXIpEUixg7Dh8+zOLFi7l8+bJGfODt7c2XX35JixYtKnRuVY9TL7zwArt27QKgYcOGysZzcQLd9957D1dXV55++mnNfUlqJtHR0UyYMEFJdDAajUribEUJdLdu3cp7771HRkZGoUnF69ato1OnTmW/OQvCwsIYPXp0gcS8exEUQek66MqOuXdHYYkYlsJcd3d3Jk2apFRCVX8W7mxq6PV6Ll26xNq1a/nll18ArRBCHKtdu3asW7eugFChvPj666955513lG5swua6d+/OmjVrKuSckupDTRPoAly7do0RI0ag1+s1G4VGo1GJAcjN7+pHcUlslslf6uIqd3NsgOXLl7N8+XLl38IWrKysaNiwIatWrSrQYawkChPoFpaAIQW6EktKEuiqhWDC1xQCR6PRSM+ePfnyyy8BKcyVlB7LwgSWa6P09HRMJhNXr14lOjqa+Ph4jh49Snp6OpcvXyY3N1dTtdxye0xdmbww0a6lYFed9FNUp103NzdcXV2pXbs2LVq0wMPDgw4dOlC7dm3q1KmDs7Oz/A5UYypDoFuajrmWBVwLE7CrKUzULub1wuy0WbNmuLm50bVrV5o2bUrjxo0JDAxUfr969WoiIyP597//XeDvIql8SlMMZuLEiUycOJGAgIAix0w1lvYSHx/Ppk2b+P3337lx44Zmf1It0LWxsaFDhw689tprGpspDiHQXbJkCWlpaSV20PX19VWEuFOnTpXC3GpMVFQUY8eOJSUlBTs7O/Ly8jTjWGFFN9TzqHrdJGjcuDGOjo506dKF+vXrExgYSFBQEHZ2dgUKCtxtdx4p0JWUFrPZzMSJEzlz5oziK4q5/6effqJx48YVdm4pmrh/KE6YazAYsLa2VsbDNm3aKJ3yHn30UVJTUzVz8aJFi5g8eXKFXF9hwlzQ2tu9CnMFlgLdFStWEB4ezvTp0xk9erQU5lYidyvMvZfnLcauTZs2sWTJEqysrAp0rF+zZk25FaUsqoOupb9cWoFuXFwcdevWBaR/WRWIv3loaChz584lMzNTiTuqbXT16tUEBQU9ULmTV65c4bPPPkOn0/HBBx8A0kZrKtLXlFQWYozYs2cPr7/+uhJLF8/6kUce4cMPP8TOzo6rV6+ybNkyIiIiiI2NBSg0NqQ+NtwpCjhgwAA6derEyJEjNU1+yjI+79mzh++++07JBVLbqqVNWubbA5rrNpvNtGnThqFDhzJw4MBybTgkuXcuXbrE1KlTSU1N1cSHBg8ezAsvvICrqysfffQRp06dUhoECDu0jD1ZCnX79+9PixYtmDx5Mvb29kossaxj2aFDh3jttdeIi4vTFEFU7xlY6kAsr1cdZzWbzYogecqUKdSuXbtM1yeRSCSSykeKcyWSakBJAl3xHjVz5sxhwYIFgBTm3u/UhKDGwYMH+fDDDzl//rwmOU0sbH18fJg5cyaDBg3C19e33M4r/jYZGRk4ODgoCzOZzCaRSApDPZ7Onz+fP/74Q7MR5+bmxr///W8GDBhQoWNvYcJc0RHPYDDQoEEDJkyYUKxAV43cZLk/mD59OocOHVL+re5sU94CXbiTLPd///d//Pbbb0piuvApjUYjS5cuZfjw4WU6R2FkZGQwdOhQEhISNN2qOnfuzIYNG+7Jry1OoGtvb09ubq4U5paS0iRieHt7884779CxY0ela0lhGx7i32lpaSxdupTvv/8eyLdtMf6KIHqXLl0qZDz79ddf+cc//qH8WwS3GzRowJYtW8q1eIykelKTBLoGg4GsrCzGjRvH9evXC3QRUCeaS6oPxXXMBTQbiK+88grTpk3TfO5uzgF3RLJ79+4tNGZ0r/O37KAruVfUc/7BgwfZsGGDplCKOtlBjbowi4zjSMqKeowsbP0s1hjXr18nOTmZCxcusHbtWuLi4oCCSUUipimwrGBeHOrkD7HGL0wIaWdnh9FopH79+jg6OjJmzBhlvSepflSkQLc0HXOhYOFWddKOuDbh4xYlhFMfS1y7sFPL7rru7u40aNCA+vXr07JlSx5++GFatGhR4O8hqXxK43POmzePOXPmKGubu41zimeckZHBwYMH2bhxI6GhoYodWhbgsLOzo1u3brz00ksEBASU6hxFCXQtC9uMGDGCV155BVdXVynMreaYzWbeeecdNm3aVKwfCAU72xRWTEAkJVq+z8HBATc3N3x9fenWrRu1a9eme/fuuLi44O3tXWh8qrBCB4KiBLqQLxiSAl0JwNNPP82ff/6p8fesra3ZsmULLVu2rNBzS9FEzeduhLlt27Zlw4YN2NnZkZ2dzfTp0zl16pSm2NWjjz7Kxx9/jE6nK5c8ocromGuJeow+d+4c8fHxdO7cGTc3tzLfj6R0VIYwV01ISAgzZ87UvCZs4P3332fIkCFlvSWF8hDoFrfvJalcUlNTmTVrFufOnVPmQLE+dnd356OPPqJr166V6qdVF3uIj49XcvCkn1qzkb6mpDLJyclh2rRpnDp1SrP+9vLyYsGCBYwYMQKdTsft27c5d+4c//vf/9i1a5fGNyxMGGvZJbRnz560bt2aSZMm4eHhcU82ox7bLl26xN69e/noo4+U34vrt4xXgTYGKuzY2dmZ/v378/zzz+Pl5VWg6Jekalm1ahXLli0D0Oyr/POf/+Spp54C7hQ637dvH+vWrSMjI0NTeFrEyy1tUhAcHEyPHj0YMGAADz30kPJ6WebQqKgoXnrpJS5dukR2drZy3qJi9eJn9fWJ3/Xo0YPJkyfTvn17JRdLIpFIJDULmfUikVQDhHMVFBTEokWLChXoqjcnHRwcqFOnjubzkvsTsRFiMplITk7Gx8enqi9Jg7DJbt26kZiYyMcff0xcXJyyyBHJEUlJSXz55ZdkZmYyfPhw6tevXy7nF98LtTBEJnRKJJKiEPPl119/rQhzRRDO1taW0aNH8/DDD2veW94UJsxVJ1FaWVkRGRnJli1bAEol0JWbLDUbEZATvp1I7FUHkK9du8bmzZsBmDRpkqbi3r3i7+/PqFGjOHz4MMnJycp1+Pj48Nhjj1WIMBfuBPr1er0S4Bf34O3tfc/HVPvJXbt2VV4/cOAAubm5eHh4sGnTJinMLYHSJmJ89tlnBZLMLccn9b/d3d2ZP38+CQkJhISEaILhBoOBlJQUDhw4QJcuXSpkPAsICMDR0ZG8vDwl0ddsNhMXF0d8fLwU5z4AeHl58cQTTwAUEOiqO/Ns374doEoFujY2Nri5uREcHMz169c1nSaNRqMiIpIFuqoPxY2dUD7CXMi3AZ1Ox8iRIzly5Ai5ubnKpqQ4z4ULFxg+fPhdH9/Pz49Ro0YBFOigazQaleN//vnnAFKgK1FQ+2HdunVTXv/rr780MS11fNNkMjFx4kQA9Hq9TH6QlBn1eGc5NqnXHA0bNqRx48Y0bdqUnTt3EhcXp7xfdH+cNm0a+/btIyMjQ5l3xVpJjIViDlZ337UU/4jPCJu3vE7xmYiICIKCghg9enS5/10k5Yd6DT5lyhSsrKxYvXo18fHxBbo0GgwGzp07x+LFi0sU6JYkzBXzvzi/OsFMCDMAjZBXXbzSMiFNjdls1nS5ENcv1n5ZWVmcPXuWs2fPYm1trSTRW4rXJZVLaXzOBQsWMGfOHM3n7tZvEzbt4uJCv379CA4OZsmSJfz555+ajicitqrX6zly5AirVq3i2WefpV69eiWew9HRkccffxyggEBXvU4Thb7Cw8M5ffq0FOZWY6ysrHj22WfJysril19+ITs7u4D4tqgu3wLxs7Bn9WeF3RkMBhISEkhISODs2bPAnS71dnZ2tGnThoYNG9KsWTPatGmDk5MTderUKdDNR72+cnZ2ZsqUKQB88sknGvvLy8tTBLpTp06VAt0HFGErYo9eXUgtLy+PCxcu0LJlywq1CxcXF2XNbimaUK/ZX3jhBeBOZ6HChO+SquFehbkGgwF7e3ucnJwAlDkP4ObNm+W2li6pY25FCHNBO8a3atWKhx56SMY7K5HKFuYC1KtXD1tbW4xGo6aAq8FgUOy8vKhXr56yzlYLdC19zeXLlwPwzDPPFLvPVdi/JRWPsLvTp08TGxurjJViPezo6Mjs2bNp3749UHE5E4XNp4XZQ2XOu+JcQpgr1+o1F+lrSiobk8mEg4MDTz/9NC+++CLp6elKfDA5OZnvvvuOQYMG4eTkhKurK127dqVr167079+fkydPsnHjRnJycgCUuIw4rvBtxTi9f/9+9u/fz44dOxgwYADdu3ene/fuyrWUZr9bHXcNDAwkMDCQDh06sHXrVk6dOkVUVJRyLEBTYAbyc4mdnJx48sknadeuHY8++mi5/10l5UO7du3w8fHh1q1bmiJBn376KUFBQfTq1YuAgAACAgLo0qULZ86cYe3atURHR2u6jgt7EDYp5smLFy9y8eJF1q5dy9ixY2ndujXDhw/X5G3ezVhrNBrx9/fn888/Z8uWLRw8eJBjx45p7NEyN07YvcFgUNZZHTt2pEuXLkUWjZFIJBJJzUEqmCSSakJpBLpwZ8GQnZ3N559/TmZmJrNnzy4XgYak+iEc8by8PMaMGUPDhg1ZuHAhfn5+VX1pCupgy7Bhw8jJyeHDDz8kLS1NeY9IkkhJSWHjxo2kp6czevRomjdvDpQ9QKn+rAz6SCSSkkhKSuLAgQNKcFGMGz4+PvTt2xcPD48KO3dRwlwRmFRfz90KdCU1F+G/derUif/973+a5O2KFuh2796d559/nrfeeguz2UynTp0YMmQIY8eOBSpG/JWUlER6errmHgEaNWoEcM/nK0ygm5mZycWLF9m4caMU5pbA3SZi3O14VKdOHfr06aMEotXVdo1GI2fOnCm2i0lZ8Pf3x93dnZs3byrHtrGxwcrKipSUlHI9l6T6UlMEuuK7ZVkJVXw/UlNTC8QIJFVHcWOnZVeRsghzBWKObNmyJU5OTmRlZSm/E+PqxYsXgXsbS4sS6IrNQSnQlRRFaQS66k6PANOmTWPVqlX06NFDrnMkFYratkQShru7O02bNuX06dOaTqQGg4HevXszd+5c8vLyOH78OAkJCZw+fZorV66QlpZGTEyMIsAENAkfInFOvaazFByJJAyRWN+6dWs2btyIvb29LL5RzVGvwSdPngxQJoFuccJcSz/C1dUVf39/+vXrR8OGDXFxccHFxYX09HQiIiJIT0/n/PnzREdHk5yczK1btzRiXvU6SMSfBJbrMMtuzyNGjGDJkiXKe+V4XXWUpmPuwoULmT59OlB++y7W1tb4+/vz/vvvs2jRIn799Vdlz0edXJadnc1ff/1F/fr1efLJJ0sVY71bga44pxTmVk9E57JXX30Vk8nE7t27Cwh01RQlciis47w4vvi/EOuKY2ZlZZGens6ePXuU97u5uWFvb0+HDh3w8fHhkUceoX79+tStWxdnZ2fNnOvi4sKUKVMwGo2sWLFCk4wuBboSYSvt2rVj69atQH6RC4Do6Gig4ouoFiWaMBgMUjRRjSmLMFen02FlZUXz5s05ePCgxh+NjIzk2rVrNGnSpEzPV3Tmi4qKYvLkyZXSMVeN+trlWqjyqAphLtzx/WxtbZW1sZjHHRwcqFu3bpmPb8ndCnSlGKL6Iezu559/Jjk5WYm5CDsNDg6md+/e2Nvbl+t5LW3eYDBgMpm4cOECKSkpJCcnk5mZSaNGjXB1daVVq1bY2tpW6nwrxeP3D9LXlFQ2wpYaNWqEr68v6enpmiKrp0+fZsWKFbz00ktAvj/bp08f+vTpw6BBg9ixYweHDh3i6tWrynHVcU11rFSn0xEbG8v69etZu3Yto0ePpmXLlowfP16x/5LsyPJ3nTp1Ijg4mNzcXH744QeioqIIDQ1V9v9zcnLQ6XQEBwdTq1YtBg4cSKNGjTQ5Q3JNXz3p2LEjjzzyCD/88AOQb39ms5k9e/bQoUMHHB0d0el0tGjRghYtWjBw4EC2bt3KsWPH2L9/vya+ri7eb1kcZsuWLWzevJmff/6Zbt26MWjQIGrXrq1cS2nGN/Hd8fT0ZPbs2UyZMoXNmzdz5swZ9u3bpxSlgfzcOLjjW9SrV48mTZowYsQI2rdvrzT0kOOqRCKR1GykOFciqUaUJNBVJ/ckJiayfv16pWq5FOjeX6iFudOmTSMsLIywsDDc3d2ZO3dutRPoCtsbN24cOTk5LFu2DL1eD+QnLul0OtLS0ti2bRs3btxg1qxZdO7cWQZrJBJJpXL+/Hn27t0LoEmonTRpEh06dKiw85YkzBWo53Ip0H2wcHd31yTOqitMVoRAV9jSuHHjOHv2LLm5uYwZM4bOnTsr5y3PZAhxnTdv3kSn0ymBUBH4FF1VymLjlgJdnU6Hv79/hWzq309URiKGTqdjyJAhbNiwgYiICOUZi/EvPDyclJQUvLy8yvXeRIKTEDqqz2swGDh58iRdu3aVY+sDQk0Q6Iqxt1atWgDKd1DMCS4uLoo/Ialaiho78/LysLKyKndhrvq8devWpXnz5iQlJSm+ANxZe4tq1fc6pskOupJ7pTQCXSGmEd+V2bNns27dOrp27SpjmpJKQ4xZ3t7eAAUEtdHR0XTs2BGAfv36ASidnm/fvs2FCxdITU3lyJEjJCQkEBMTw40bNzCbzcoYLBA+tVqMq06+b9mypSLMVccMJNWX8hLoltQxV+1HDBgwgMGDB9OzZ89iE47FeRMSEjh37hzx8fHs3buXtLQ0Ll++THZ2tnJMcR9CVK7uJGEpeBTCXDlOVy2FrdfVyWRQvj5nYTg7O/PRRx/x8ssv8+OPP2riVUKgm5qayo4dOwgKCqJfv36lug61QHfx4sWkp6drRBNi3BZ2WZidSmFu9UD4e66urixatAiggEAXtIUrWrZsqdjP+fPnlecujifWIOpukeqYqXrMFYJdsa5OT09XrsFsNvPNN99gNBpp2rQpTZs2pWHDhnTt2hUnJyceeughXFxceOaZZ3B1dWXp0qUa+zMYDFKgW4Mpr7ifp6cnkB/PFMdMTEws87FLixRN1CyKE+YajcZihbnqtUGzZs2A/HHPaDQqhUkDAgLKdI2igOWECRNISkrCwcGB3NzcShHmSqqGqhDmijEoJCSErKws5XjC/u3s7HBwcCiP2ytAeXTQlVQdZrOZ6Ohojh8/rvH1xNg0YsSIci3OLGxV2OjVq1cJDw9nx44dxMTEcP36deXckL9279ixI40bN+aZZ57B3d29Sgq/SqoO6WtKX7Om0qBBAyZPnsybb76pyU0HOHr0KJcvX6Z58+YaP8BkMhEcHMxLL71EZmYmX375JSdPnuTUqVOatbw63ij8XnHsbdu2sW3bNn744Qcee+wxevbsqfi74hyl8T2cnZ1xcXFh5syZAOTm5pKXl4fZbEav12NlZVVs7on0Z6sfYv00btw4jh49SmxsLJAfE/z999+ZNGkSgYGBmn1HDw8PZs2axZw5c9i8eTMhISH8/fffSu66WIOJuJLYsxHH3r9/P3///Tdr1qxhwoQJtGvXjq5du2pyi4rLnRPHsrW1xdbWljlz5mAymYiMjCQuLo6zZ8+SnZ1Neno6Li4u1KlTh/r169OuXTusra1xcnJSjiXHU4lEIqn5yN1+iaSaUZJAV2xSmkwmkpKSWLduHYAU6N5HiI1jg8HAlClTOHnyJPb29uTm5rJ161bMZjPz5s2rVgJdte1NnToVk8nEypUrlc546t9nZWVx8OBBwsPDWbhwIY899phmU14uMCQSSUVgMpnIyclRBDciAdHa2pqmTZvy2GOPKe8r73m0OGGuSAQWldosg9dSoPvg0LJlS/z8/EhISFA6QFSkQFdtQ//85z81wWnhb5Yn4ni7du0iOztbk9zm6+vLo48+WuC67gX1d0gIjSVFU1mJGEajETc3Nzp16qSIc9UdmoxGI7m5ueV9e4oQvE2bNly9elVTVMZsNpOWlqZcg+TBoCYIdAGuX78OaAVDIgldvC7X/VVHcWNnRYskxHhVWDVp4e+WtfOiFOhK7pXSdtBVdx+bPn26ItCV65z7l8LWulV9Lf7+/kB+TFNc1x9//MHw4cM1Y6nwEVxdXenSpQuAIiS7ffs2CQkJpKamcuzYMZKSkjh9+jSxsbFkZmaSl5enKcglijG2adOGDRs2SGFuDaSsAl0xBhYlzFX7EU8++SQLFy7E1tYWKD4RSMzRtWvXpk+fPgCMHz8eKysrzpw5Q1JSEseOHePChQvExMQQFRVVqFhXHEsKHqsPhfmcQKUKc9XHfe+99zAajezatauAQFd0Q1mxYgUdOnTA09OzVL5pcR10LbutSmFu1aP+W1vO7cIeihPoqt/v5ubGwIEDGTBgAOHh4URHR3P27FkuXLjAzZs3iYiIKLYTuLp7Lmi764r3q/8zm81cvXqVK1euAHfGb9FNx8PDg06dOuHr68vQoUP58ccfNfctO+jWLER3ccsuduoE3rt9bsHBwbi7u5OZmanpvnP+/HkyMjKU4oAVjRRN1AzK0jHXcm0gxDrqmJDBYODs2bM88cQTZY4Dpaam0rVrV3755RdFuAhIYe59SFV1zBW2e+PGDeU19Zj02GOP0aRJkzKfpyhKEuja2dmh1+tZvnw5gYGBSs6ApOqxsrIiLi5O6RyqLlIZGBjIoEGDgPLJM1M30EhISGD79u3s2rWLqKgo5byio7nI8xB+6MmTJzl27BhHjx6lf//+jBw5ksaNG8u59z5G+prS16zpqPdxWrVqxblz5zTj2tmzZ/n7779p3rx5gTU/3LF9T09PFi5cyM2bN9m3bx9ff/01cXFx3L59W7ETtVBXXcTS2tqaU6dOcf78eT777DOmTp3KQw89RL9+/ZRzlPQ9ssw1trGx0RQ2tCzwJe2z+iPWNI0bN6ZevXrExsYqPpuNjQ0pKSm89957fPLJJzg7OwP5Nime78SJExkwYABXr17l008/JSYmhtjYWGVMFfuUwi7UHZ4TExP57LPPMJvNjBo1io4dOzJw4EAlNl8a1LGvRo0a0ahRI7p27Vrk+9XddNX3IZFIJJKai9zxl0iqIVKg+2AjNmJGjhzJ5cuXsbGxIS8vT1m4fvfddwDVWqA7ffp0nJyc+PLLL4mNjVUEx+L3BoOB6Ohonn32WV588UWGDBmCr6+vRjAhkUgk5YkYey5fvgygiB9NJhMNGzbUJOaWJyV1zFVvwKuRAt0HD09PTxwcHDRdGdTPWO3/lWcHXcjvGiWoKNs6duwYZ86cUYKRwvabNm2KnZ1duW/0S4qnMhMxRCC9QYMGAJqCBDqdDjs7uwoRJBTWGU39+oULF8jNzcXGxqZcO0VLKo7i5r/Szo3VWaAr7FBUwlYnfZhMpnKtAi+5N0rqmFvRIgkrKyuysrK4efMmQIHNQyhYhfpeKE6gq/6eSIGuxJKyCnRlTOj+JjMzEzs7OwDl/4LKWuOKcwQGBuLo6EhOTo7SfQry52C1b1iYnyps1cXFBVdXVwA6dOgA5Ffpj42N5fTp0yQmJnL48GHS0tKIjIykWbNmUphbw7lXge7LL79M+/btSU1NZdKkScUKc6dPn87ChQs15y1uzWJpR+o1l+jaK0S7ycnJXLx4kaioKP7880+Sk5M5f/688l2QgsfqQ1X5nIVhbW2tzOUffPABeXl5/Pbbb8o5RWKbTqfj4sWLvPHGG3z66aelXmsXJ9BVX4MU5lYt4m8dFRVFTk6OpruNoDQCXUFISAjp6em4urry6KOP0rp1a0VkkZmZyYULF0hMTOSvv/4iKSmJy5cvk5qaqti/WAMJoYRlwUMxFoqf1eJgdee106dPK91SRNcV9fHF/2UH3ZpBeHg4r732Gu7u7rRp0wZPT0/at2+Pl5cXPj4+QOH7QCU9R09PT9zd3UlLS9PYmejGU5kUJZqwLKr1wgsvYGVlxaBBg+SavRIpT2Eu3Fln1KtXj7i4OM3a5cCBA+Tm5mpECPdC48aNmTt3Ls7OznzzzTea/UopzL1/qCphruDEiRNs2LBB+bf62A0bNiy38xRFUQJdIRYCGDRokBTmViOE7xYZGQmgWQ+ZTCZq166tCHPKY47T6XRkZGTw+eefc/z4cU6dOqX8Tsyr6g7m6hioWAdFRESwefNmTp06xcKFC2nZsqXM6bgPkb6m9DXvB8Tzql+/Pm3atOHs2bOaYlgGg4EVK1bQqVMnJa5o+Xlh03Xq1GHcuHF06dKFq1ev8tlnnxEREaEIutXFvSzX52azmczMTD7//HPMZjP9+/end+/e9O7dW9P1trjvj2VRY4GlaFNSMzCbzXh4eDB//nxmz56tdEEWc+/Vq1c5fPgwffv21diFel729PSkc+fOfPLJJ0RFRbF+/XoOHTpEcnKyslYT9mi5ty7m+a1bt/L999+zfv16xo0bR9u2bWnevLlynUXZpGWun2XDApEnJ5DrK4lEIrn/kLv+Ekk1RQp0H2xu3bqlBBnF81YHOGqCQHfcuHE4Ojqybt06Ll26pFy/WGiIIP8HH3zA+fPnGTBgAI8//rgmyUMieVAozOblOF5+iADM/v37uXHjhqZYgI2NDUOHDq2QufNuhLkPP/wwtWrV4qeffipQ4Q+kQPd+x2g0YmdnR/PmzQkPD9d0HXFwcCAnJ6dA4lh5C3RLwtLe7vZcer2e3377jYiICCBfMA8wYcIEJaFdUjlUdiKGZWKR8G/VVVIdHBzK49Y0CLt96KGHgPxkdyF4jImJwWAwlDmBSVJxWI49aWlpGI1Grl+/jtlsxtXVFVtbWwICAgqdP4uiOgt0Dx8+zKlTpzT3IMZLkfgsfcSqoThhLlR89zJxnJs3b5KZmampOC02DB955JECgrd7pSiBrsFgKCDQtbKyYv78+dI2JYAU6EryuXr1KrGxsfzvf/8jLS2NlJQUpYJ9x44dadiwIT179sTd3b3S49kODg4a8SLcmV9v3LhBVFSUUsCrKApL7lEXn7G3t6d58+ZKwsZTTz0FwJUrVwgICFB8bynMrbnci0D3//7v/5g3bx5LliwpVpg7Y8YMXn75ZeDe/QjL7pTqY3l5edG9e3fgTndduFNMKzk5mUuXLvHss8+W6dyS8qE6CXMF6pjqW2+9RWZmJiEhIRqbhzvfj2PHjrFjxw7FnywNaoHu4sWLSU9PL9AhVQpzqw61MHfcuHHMnj27UHEulE6gK3zCs2fPsmbNGvLy8nj88ceVjiTOzs506tQJQBHsRkVFkZSUxKVLlzh58iRJSUmcOHECo9GoJK0LO1TvR6rnfBETEmspdeKk+Pn27duKzVl22ZEddKs3kZGRTJ06VSm4sm/fPgAl9hwQEEDz5s3x8/OjS5cuuLi44O/vj4ODQ7EiCr1ej7W1NQ0aNCAyMlKxXysrK+Lj47l+/TqtWrWqvBul9KKJBQsWkJ2dfVfjseTeKU6Ya7kvWBphrtlsxs7ODhcXF818a2NjQ1paGtHR0QQEBNzzfqH4XEBAAE8++STW1tbKvtPLL7/MjBkzADnf1nSqWpibnJzMzz//rOmgB3fsr1WrVoqdVfS+d3EddKV/Wf0QthAXFwegrJ1FPllwcDBw789LbW+xsbGcPXuWjz/+mPDwcOU96mKV6s9YCszE69bW1mRmZhIaGspLL73Eu+++S+vWrWVOx32E9DWlr3k/Iexvzpw5HDp0iGvXrim5bMI/OHLkCK1bty40p1EtulV3Ce3WrRt//vknf/31Fzt37lTGSWE/6nFT5ImI4/z222/8/ffffPHFF8yYMYPmzZvTrl075T0yn/j+R8yzjRs3pl27dhw5ckTT7TY+Pp5ffvmFvn37FhhX1fEds9mMp6cnnp6eLFu2jJCQEE6ePMnq1auV/Ul13Ejtn6rPd/78eRYvXoydnR1Tp06ldevW9OjRQzl3aTs8Q/GFNyUSiURy/yB3/iWSaowU6D6YmEwmfH19+emnn5g+fTrR0dGFBjhqgkB36NChuLu7s2PHDvbs2aNJ4FXfyy+//MKFCxc4duwYCxcuVDafZJBS8iCgDh6tWrUKa2trOY6XM2IciY6OBvI3SUSl+7p16wLlK3S5G2Fuly5d+Oqrr4A7c8CuXbukQPcBQ4wBbdq04ddff8VkMinPtXfv3ty8eVOp0Cs29ypboCuu5/r16zRu3Piuz7Fp0yalKraY/wGGDh1K165dy/diJcVSFYkYYjxUj8OAEtj29fXFzs6u3Mc0caxGjRppNjLFNaWnp5OcnKxU15ZUP8TzCgkJ4cqVK3z33XdkZ2eTkJCgJKfZ2dnRqlUrGjZsyKRJk6hduzYuLi5A8euJ6ibQFdd6+fJlJfFe/A2sra1xdXWt9M13ST5iLIyMjCwwdoJWUPPyyy9XiEhCHOeXX34hNjYWyE8gF+cu704TxQl0RXERvV7PZ599RmBgoCKmkEhKI9A1mUxSoHufcvv2bbZv386WLVtISEggOzu7wHtCQ0Mxm820bduW4OBgnnvuOTw9PSvtGgMCAmjSpAmXL19WEi2MRiNpaWnEx8eXKM4tDLWfWdjvrK2tCQoKAu7MD1KYW/MprUBXxH9OnjzJM888o+lIL5LTChPmlnfCmeW4KmIPVlZWdOzYEYD+/fsrv5PjcNVRHYW5AnEeb29vnn32WVJTUzl//rzyexF3TU1N5cCBAwwdOhRbW9tSr/cLE+gK0ZIU5lYdlrGk5ORkUlNTi/1MSQJdk8mkxGrOnDnDhg0bsLKyon///tja2mrGUfFef39//P39adeunVJc4MaNG2RmZvL3338THR3NmTNnlOLHBoNBiUGpr0kdI1L/Xog+xP/FGKkWYIjjiu/mtGnTWLVqlYxvVgMsx0515+3s7GwMBgOnTp1S4uyiY2JgYCC1atWiSZMmtGrVCldXV1q3bo2jo6NS/Er8v0OHDhw4cECTVJ6dnU1ycnKl3y8UL5owm82KnR48eFAKJiqBkoS5Yk1QWmGuwNHRkT59+nDp0iVFlGYwGEhKSuLgwYOaooV3i/pzTZs2ZcKECWRkZNC8eXMpzL1PEHZZ2H6QiCnWqlWL9evX06RJkwp53sePH+eXX37RCHBEAe0+ffpUyN5QUQiBrpWVFevWrSM7O5vhw4ezdOlSQNp7dUSIZUr7ekkIWxP29vfff7NlyxaOHz9OWlqaRqgjvifqvXnxb+FTitcsC8Bdv36dt99+m6VLlxZZ0EZSs5C+pvQ17zfEfOfi4kLr1q25du2aRpSo1+vZtm0b48aNw83NrcjjqOdvo9GIk5MTTzzxBE888QS9e/fm7NmzfPvtt+Tk5Gg+J9bYYhwV42xeXh4RERG888476HQ6xo8fT+fOnenVq5cUNz4gWFlZUbt2bfr27cuRI0cUH1KshXbu3Em/fv0YMGBAsceAfF+4e/fudO/enZ49e7J//35+/PFHJXZk2dFZ+BgitzMvL4+cnBw+/fRTXFxc6Nq1K8OGDaNdu3Z4e3sr55R+pEQikUhAinMlkmqPFOg+eIiFhL+/P2vXrmX69OnExMTUWIFur169qFevHoGBgaxcuRK9Xq+5F7Gwj4iIYOPGjZw5c4YJEybQtWtXfH19NdUHpQDt/kX9fNWbkPf7c1dv1C5evJgNGzbQpEkTXFxcGDdunBy/ywkRMDl58iSApnuJn59fuY+fd9sxVwhzAZYtW4a1tXWJHXStrKwYOXJksUFQSc1BPGO1UFxdQXLWrFl8/PHHXLlyBag6ge6ZM2d47733qFWrFvPmzaN+/fo4OTkpY5k6gC7GtrS0NLZs2cJHH30E5FcZhjub4I8++qgURlYiVVkh3Ww2ExsbW6ADM0Dfvn0rrHutyWTC3t4eBwcHMjMzFb/SaDSSkZHB2bNn70l8Ial49Ho9sbGxrF69mt9//5309HSNsFtsSmdnZ3PgwAEOHDjAL7/8QteuXRkxYgSPPPJImTroqtddlSHQtbKyIiwsjOXLlwP5ayq448s0btxY6QItqXyEMHfUqFHcvn1b0zEX8sez//znP4wZM0Z5rbzn4xMnTvDzzz8D2jkVoG3btoo9lydFCXRFsRuAwYMHS2GupACFCXTNZjP79u3TCHTV4gYp0K3ZmEwmfv/9d37++Wd2796tvK7utCjGS+F7iqS1w4cP89RTTynxwIpGp9Ph7OysxNghP2kuOjqajh07lmtMytKWpW3fP9xtB11hc5UtzC3q2u/ld5KKpahiMCKWCLBw4cIqEeZaEhwczPDhw4mPjycpKUkZM8Wezy+//ELv3r0ZNmzYXY2naoHu0qVLFRGoFOZWDWI8UtumlZUVSUlJJX72bgW669evB1AEuuouu2rUc3SjRo0AaNGiBQA5OTkkJiYSGRnJ0aNHuXXrFkePHiU7O1vpcCW+S4V1ZlYLdgvzBcS/TSaTUqzohx9+kOLcKsZy7FSv10FbkEJ0woE79n3x4kUuXLjAvn37lN83aNAAe3t72rVrR/PmzQkICKBDhw54eHho1uJiHk9ISFCOJ2JWlbW3WZhoQgg+8/LyGDFiBEuWLKmUa3mQUftub775ZrkJc4Ud1a9fH0DxJcVxL168CJTfvNisWTNeffVVpXCSnG9rPjqdjuvXrzNt2jSNfynmOjs7O5599lmaNGkCUG5jl/hOXLlyhXfffZdbt24psQERD6hTpw6PP/64pmOe+hrE98Py9bJSr149JcabmZnJ4sWLAWnv1Q0xl3p4eAD5sSURV7p27Rpwd2tX9VgdHh7Ob7/9puxfi3OIOV7dDVfktonXXVxcyM3NxcbGRilIJ/wLtWj46tWrbNy4kX/84x94eXnd2x9CUi2Qvqb0Ne9nnJycmDBhAj/++KMighQxy4iICNasWcNzzz1XqjileI+YU4VINzw8nL///ruA3aptWXyP1J179Xo969atY8eOHTRv3pypU6cSEBBA48aNlWPI+fv+Q9jFyJEj+eOPPzh69KgSsxHP+tixYwwYMKDE529pt61bt6ZFixbMmTOHL7/8ko0bNyo5KJYF3MS1qLvpZmZm8vvvv3PkyBE8PT2ZNWsWgYGBtG7dWnZ4lkgkEgkgxbkSSY1ACnQfPIRD36BBA7766qsSO+iazWaefvrpaifQFQuXpk2b4u/vT1BQEK+88grp6emANlFT/Hf69GmioqJo3Lgx8+fPp23btjg6OiqViaQt3x9YJqepAzDqTUhLceL9ZAPqxfjSpUuVjpJRUVF8+umnWFtbK4n9krIh5kLRYUxdadLR0RFXV9dyO1dxwlxhv4UJc9Ub6u+//z5AsQLdzZs3k5uby5NPPimFjfcB4tl27twZT09PjQDNYDDQr18/DAYDn3/+OZcuXVI+U5kC3cjISHbs2MHp06fJy8vj+vXrtGzZkunTp+Pr64uLi4umy6PZbGbbtm0cPXqUn376CchPdhe/f+KJJxg4cCBw/xdjqA5UpTAXYN++fRw4cADIt19hCwEBAUDF2IG1tTUNGjSgWbNmSrViyBeEVFW1YUnxpKSk8MMPP/Dzzz9z9uxZzYa20WjEZDIp46TwKXU6HcnJyfz888/8/PPPvPTSS4wcOVJJ3igKIdC1srLiiy++qLIOuikpKWzbto2srKwCXXxcXV2ZOHEiNjY295U/XJPQ6/WsXbuW27dvA/mbxIBmo87d3V35fXmTnp7Onj17iIiIAPK7OYnxLDAwUKmwXt4UJdA1Go1SJCEpFkuBrvi+qAW6RqNRdtC9DzAajSxfvpzffvtNSZAU44SYt9UFBdSiWJEs/MEHHzB48GDGjRunJAZX1LXqdDoaNWpEaGioMo6KWMHp06cZPnx4hZ1fUrVYJn0VljRzt+uS0gp0La9B3QV1+vTplSrMlVRPwsPDmTJlSqEJv2IMffbZZ5k+fbryWlXair29PYMHDyYkJIS//vpLs14T66gff/yRHj164Onpec8C3VdeeYX+/ftLn7OK0Ol0GtsUgtRz586RmZmJg4NDsXZYXgJdNYXZkrALW1tbpcNu9+7dAUhKSsJkMnH8+HEiIyO5cOECZ8+eJSsri9TUVI2PIgQY6qR4tU8r4g+ik5BMRq96IiIiGDVqFBkZGRqxo/q5qotKQr5AW70/qZ6vY2JiMBqNmmKZAQEB+Pr6ao4rfj5z5gwjRoxQ9obU8QKRx1GR8W+1aOLDDz8kNzcXuFPUQNinHDsrFjEOvvLKK/zwww/odDpFXHCvwlw13bt3x8/Pj4SEBGWuBdi7dy+xsbHlkiMibFQIc4XtSmouYq568sknuXXrFo6OjoqQUP37ffv2UbduXXr06FEuRfOFbScmJvLcc89p8pzE7+3t7fnoo49o0qQJGRkZwJ1ivwCenp6Kf2BjY1PotZTVD65Xrx5PP/20FKJXY8Rzr1OnDgB5eXmavLKYmBiio6OpX79+qZ+fsJkNGzawb98+QkJCAG38SpxbvaZxcnLCy8uLwYMH06BBA4KCgjAajaSmpvLnn39y5MgRrl+/rvEhraysyM3N5cCBAwwbNgwvLy9pZzUU6WtKX/N+x2w206pVK4YPH87333+vvCbs7+zZs+Tl5d2zMPy1117j77//Vv6tjoeKc6mLG4g4gTovICMjg9DQUMLCwnBycmLWrFm0aNGC9u3ba4p8yHyj+wPxHB0cHGjRogVHjx7VFNAwmUxs3bqV0aNHExQUdFfHFj6mTqcjJiZG8T8h3zbFmGpZSF09pmdmZpKens7bb7+Np6cngwcPpl+/frRp0wZbW1vlmNIuJRKJ5MFDinMlkmpEUYkhIAW6DyJiUeHv78+6deuKFehu27YNoNoJdNWLC3t7e/r06cOWLVv48ssvOXbsGDExMZqFi7Dj5ORkkpOTmT59OkOGDKFLly6MHj1aVhi6jxDPMiUlhRs3bnD58mUuXbpEVlYW6enpeHp64urqSlBQEEFBQdStWxcPD4/7JqhiKcwVAk2xKZadnU2XLl2q8ArvL9TV9S0rlmZlZZGbm6sJjtwrYpMG4MUXXyx1x1z1BrywjdIIdL///nsee+yxCk1allQeIrjs4OBASkqKEvALDQ0lNTWVHj16YDab+eKLLwgLCwMqT6Cbnp7Orl272LFjhxJ4DwsLIywsjF27dhEYGEjLli1xdHTE3d2dixcvEhERwblz55RjCEEZ3PmujBgxgn/+85/Kv6WfWrEUJ8y1sbEhLy+vQoW50dHRbN26Fcjf5BYbK927d+fRRx8Fyq/yuSWiGIPlawBHjx7lySeflP5lNSI+Pp733nuPw4cPKx15xJim3pgTiM1nsSkiNk7ee+89oqKimDhxIs2aNSv2nCKxAqgSga7ZbOb48eP8+eefyhpffS9eXl60bNkSkF3Mqgo7OzuGDh1KTk4OO3fuVAobCJsUCdzPPfdcuXfPFT7goUOH+PrrrzXnFr6ln58f8+fPx87OrsLWSkKga2VlxZo1a8jOzmb48OEsXboUkPO5RLteUf+sTuwUAgmgQAfdogS6NX39/yBgMBh4/fXX+f3338nMzAS03UbUnSMsq4+LOVyn05GUlMSOHTtITU1l7ty5mgr45Ynw+URHenXypdls1hQVlNw/WBYINBqN3Lp1CycnJ/R6PQaDgdq1axcqkijNOFQaga4l4jvy9NNP89xzzymvyXXJg8vnn39OUlIS9vb2mkRFuDMmubm54eHhQWpqKh4eHlVuK2azGS8vL1588UVCQ0PJzMxU4lnqJOKEhIR76hTl6OhI//79qV+/Ph07dgSkz1kVmEwmFi9eTFJSkkY0npaWhrW1danssCIEuoWdA/LnefVnfHx8AJQigXBnXyAlJYXDhw+TmJjIgQMHSE5O5ubNm2RlZWm6VovrE76CuGaZjF716PV6Nm/ejE6no169esTExAD5/p2I51gWUFUXfVN3aIJ8QY46LqPT6bh69SrXrl3TCCAEBw8eZPLkyQQGBhIcHEytWrVo27YtdnZ2uLi4KMeF4vNByoIQTVhZWbF48WIef/xxWdSgkjl27JhSnBLybauswly4E7usVasWsbGxig2Ljo1hYWH4+fmV+TmXphCCpGZhZWWFvb09S5Ys4emnnyY7O1szl4u5d8+ePcpY2b179zIJdIVtp6enM23aNK5fv15AxGZlZUWPHj04fvw4a9eu5fTp0+j1elJSUjCbzUpRFw8PDwICAnB3d6dLly74+vri7++Pr69vAf/jXrrrSiF6zcDPzw8XFxeysrKA/P2gsLAw/vzzT6ZMmVKsMFG8npGRQXR0NB999BH79+8v4CuoC8ip/cDAwECee+45GjVqpBQaVtOzZ08OHTrErl272LZtW4HYfWxsLJ9//jmrV6+WdlYDkb5mPtLXvH8R9tKpUydlH1ydm3nw4EG+++47Jk+eXKp5Vm0Pr732Gjt27ADyG7WIMXbs2LHExcVx6dIlEhISND6uWoSpzovPzMzk9u3bvPPOO/j6+vLwww8zYcIEGjRoIDuU34fY2Ngwe/ZsfvvtN2JiYjQ2otfr2bhxI6+99lqpG5qobfPVV19VxOjqXE6AunXrEhMTo4zlYqwHbTEGMYYnJiby1VdfsWvXLho1asSsWbNo3LgxDRo0kGsqiUQieQCxMlv2YZdIJFWCSLpITU3F2dkZW1vbQhevYhEdFhZWQKAL+Yt4uLPZOH36dGbOnAnIxXBNRdhGVFRUAYEuaIODo0ePrnYCXTXCBlNSUjhz5gzr1q3j8OHDyu8Luy+xyH7sscfo2bMnffv21SyoZZJmzUE8f7G5smHDBkJDQzlz5kyxn7O1taVly5Z07dqVESNG4Ovri52dXY1NVitKmOvg4EBOTg7u7u5s2rSpRBGJpPSYTCaysrIYMGAASUlJmjmzYcOGfPfdd0rQujx4+umn+fPPP5UuoZYb8EUJcwXqBPVXXnmFH3/8UQnAq4tx2NjY8Msvv+Dv719u1y6pOsQYKToui01xOzs7tm7dSlBQENnZ2ezbt4+VK1cSFhamSSwW/l9AQAATJ05k0qRJmuOWhe+++47FixdruuRBwaqWlqi7Warn9CFDhigC9Jo6ltckhA1ERkYyYcIEjTBXiMlq1arFqlWrCAoKKvc1g8Fg4Pvvv+eDDz4gLS1Nszno5eXFv/71L/r3719htiB8xXfffZd169Yp3y3x/1atWvHdd9+V+3kl90ZMTAwvvvgiZ86c0VQgVYeuihL3CCw3SYYNG8acOXMKTZywJDk5mV27dhUQ6IJ2zBs1alS5CHTF9+369ev84x//4NKlS5pqrGK8/b//+z9NErGk6jhz5gwbNmzg119/VZImxHNS290777yjVBIvy7gqxqvQ0FCeeuopsrKyNNX3TSYTbm5uvPbaawwfPrxS5tXY2FjWr19PRkYG77zzDiDjTZLC1zWWdqGO34SEhChdKiA/IdTKykopHALIDro1AIPBwNNPP83+/fsLdJMT/xWGOnlNrJnFuObq6sqYMWOYNm0atWvXrrBr3717N88//7xGVGkymWjSpAmbNm266y6PkuqHZdz4zJkznDt3joMHD5KWlqZJFLe2tsbf3x9HR0d69OhBw4YNad++Pa6urnd1TvV4tXHjRkWgC/kCL8j3aWvXrs2GDRto1KiRUqRA8mAzf/58/vjjD8Wns+zc6efnx9ixYxk7dmy1SDwUNv/FF1/w6aefaoQXYg01evRo3n77bSVhuaznklQuZrNZU4hSzPU6nY4dO3aUaq0tEM9QJNMKgS7kFyEUNtS6dWumTp16VwLd0tyLSIy3XDfp9XpMJhOXLl0iMjKS69evc/ToUdLS0pSOVmqGDh0qk9GrCaL4amZmJqdOneLWrVucPHmSGzdukJqayrVr17CxsSEnJ0fzOXUxSbXtFea/WtqeeI+lH6nG29sbGxsb2rRpg7+/P02aNKF169bY2dnh7+9fqM2oxer3avPp6emcPn2aHj16ANI+K5Ps7Gx++uknNm/erOzfiPVtWYS54hmuWbOGDz74oMB+i+zgLSkOYT+HDh1i+vTpAMr+kLojHUCvXr2YMmWKUljtbschYdtpaWlMnDhRGX9FsVbI92nVImEoPE9Ijfhcw4YNadCgAQEBAXTr1g0fHx+l8FZR9y6pXgg/TMS57ezsSvzM9OnTOXToUKEC2o8//pjHH39cea8YH9W+XlhYGFu2bOHIkSPcuHFD2fdR7zGpfQGAhx9+mN69ezN69GhNHonartQ+ZXh4OOvWrVP2G9Vdfj08PFi5ciWtWrW6p7+ZpGqRvqYW6WtWDRUlurY89jPPPMOePXuA/CYYBoOBTp068e6775aYj6y+tkWLFiliX0th7osvvsisWbNISUkhKSmJTz/9lKtXrxIeHq4cy7KbrroLtdhLMpvNSsfpTZs20ahRo3L6q0iqA2Lc/PDDD/nqq6+wsrLSrIOaNm3K6tWrqVOnTonfi9KKxhcsWMDYsWNZtWoVBw8e5OLFi8ox1KJ1tW8rbFJdmK5OnTqMHz+ewMBApeCgRCKRSB4MpDhXIqkGqMWXs2bNol27dvz73/8uUnx2twLdadOmMWvWLEAuimsq95NA15LPP/+cY8eOERISorymDoaCtupc7dq1GTduHK1bt6Zr167KZ6RtV2+EDd+6dYutW7eyd+9ezpw5o9mAEfYsEjyE+FC9MdOiRQvatm3Ls88+i4eHRxXdzb1TkjDXzc2NzZs307Rp0yq8yvsPo9FITk4OgwYNIj4+XlNp0t7eng0bNtC6detyOZdaXKOu0l9aYa76msXnJ0+eTGhoqKYioEjG+/7773F2dpbixvuIZcuWsWrVKiB/M3rJkiUMHz4cgJycHP76669KE+jGxsYyZ84crl69ir29PXl5eUqw0bIbGmjHcMukOjs7O8aNG6d0yLjbJBTJ3aPumDtp0iSly4m6sqOzszPbt2+nUaNG6PX6Um2E3825z5w5wz/+8Q9iY2MVH0/M7+3ateOjjz7C19e3yOOUVyGWb775hn/961+KXQo7HTx4MMuWLSvz8SVlJyoqijlz5nD9+nXNMxfjiDpRqDDUm3Ti38LWJ0+ezLPPPoubm1uJ11GUQNdS9FtWga64p4yMDGbNmsWpU6eUDXHIH9PHjx/PK6+8goODwz2dR1I+qMeiogS66o1qKLtAV9hIWFgYkyZNIjMzUxMHEOuogQMH8txzz1G/fv1yvOPiSUlJUbpLyLW4RPh0RqORUaNGMWjQIObMmQPcvUBXjLfqJE0p0K2+GAwGZsyYwdGjR5XnZ5lEGxwcjJeXF82bN8dkMpGQkMCJEydITU0lNzcX0IqzRVzbx8eHBQsWMHLkyAorPBAXF8fQoUPJzs7WJAt7e3uzY8eOYn1USc3i22+/5dSpU/zvf//TdCspCmGTHTp0oHnz5kyfPh0vLy9cXFxKtT4pSaCrTuCxsbGhVatWvPzyy7Rr164c7lZSU1HHSObOnctff/2ljH2WeyV+fn6MHz+e0aNHVwuBLsDhw4d5+umnycrKKpBA2bFjRzZt2lTFVygpC6tXr2bZsmWa/WcoKIYoDVUt0C3putSIOOjp06dJSkoiJCSEa9eu4efnp8SSpI9a9RTnK+bk5HD16lWysrI4ceIEN2/eJDIyksuXL6PX60lPT9e8X8R91AUS1HN3YYXiLGNYwiZE4rAae3t7bG1tCQ4Oxt3dncDAQAIDA/Hw8KBFixbY2toWiM2qC9nc7XdA2mflIZ5Nbm4uP/zwA5s3b+bSpUsAZRLmqjlw4ICS86PeF2ratCkrV66sMbkhksqnKIGuZQdduHeBbnHCXIHlsYQ42FJwJrAcX9UFvsRr1tbWtG3bFm9vb/r160fdunVp2rRpjcwjeRBQFyt99tlnmTVrFgMHDsTe3r7Y93/99de8//77GAwGjfjWYDDg6OjIa6+9xhNPPFFgr2bfvn2cP3+eVatWKf6mWlgjEMeytrbGy8uLUaNGMXPmTCUHo7RxqSNHjvDf//6Xq1evFuieumjRIiZPnnxPfzdJ1SJ9zaKRvmblIP7Ot27dwt7eHhcXlwoT6G7ZskUpyqvei7S3t2fFihU88sgjRdpJacWPQpgrXhPfi6tXr/LHH3+wfft2UlJSyMnJ0RQrFt8NcX7hQ5hMJvr168fy5cvL7e8hKR3imVd0Y6UjR44wdepUAM35TCYTEyZM4K233irVdULpROOCyMhITp8+zerVq0lISCAlJUXjFxTmw6rzkOBOEcb58+eX8S8gkUgkkpqEFOdKHigKcwSruuumWnQ5YcIEkpKS8PDwYPDgwSxcuFAKdCUK95tAV23XiYmJHDp0SElUSktLU4JK6qCUWJCLCnMDBw6kcePGjBkzBicnJ00nA2nn1QfxrGNjY3nttdc4d+4cGRkZSqKFOlEH8oOLhVU+EzRs2JA33niD1q1bl0pkUR2QwtyqZ8qUKRw9elQTuNPpdKxatYpu3bqVyzkMBgOnT59mxYoVHDx4EGtra3Q6HXl5eaUW5gqESO7ll19Wuueqq7j27t2blStXlst1S6oeMeb99NNPvPTSS5pq0lOnTuXVV19V3lNeAt3SzJUZGRkcPXqUzz//nLNnzyqvW4qDCtuwUfsmDz30EAMGDFCEGrJjbuURHx/PmDFjSEhI0Ahz4c6z8/T0ZP78+eXabVmMcTdv3mTq1KlEREQU6PRob2/Pt99+S1BQUAF7KGqNpg60l/YaxWd+/fVX/vGPfyh+pMlk0nQ5qep14YNOZGQkU6ZM4ebNm0WucVxcXGjUqBEPPfQQvr6+6PV6wsLCSE5O1oxPRQkln3/+eebNm1eq60lOTmbnzp18+eWXFdJBV3xH8vLymD59OseOHVNsUy3WaNWqFQsWLNAUJZJUHSUJdAsTcd+rQFeMi5cuXWLSpElkZGRoxnAxFjZr1oy33nqryqruyrGzclH7XOp4SVWijtFMmzaNo0ePAvD666/z5JNPAlKge7+Sl5fHlClTOHnypFJcQiTLAnTq1InevXszefLkAklfycnJ/Pzzz+zevZvQ0FBAO3+LGFCTJk349ttvcXV1rZDxJi0tjQEDBpCSkqLpvgLw1VdfyYrmNZzs7GwuXLjAhg0b2L17txJTUa9LoPAkRGHL4rV69erRoUMHJk2aRJs2bZRzFGeXpRHoivncxsaGli1b8tprr5Vb8ThJzUFtKzVdoPvGG2/w3XffFYgRmc1mNm3aJMfVGoy64Jl6zfPmm28yceLEe07irm4C3cKusazvkVQNxcWe8/LySE9PV0QUiYmJnD59mhs3bnD79m1u3rypEaqp7V6dfCt+thSaqT+j3gdVJ49bYm1tjb+/P7a2trRu3ZrGjRvTqFEjWrdujU6nw8fHp8h7lXZYfVALdH/88Uc+/vhjatWqxbfffltmYS7c2auZPXs2p06dUmxM2NyHH37IoEGDyutWJPchxQl0LefeuxXoltQxt7DcD8uCv5aitKIEauJ1MU4XlvLatGlT6tSpQ4sWLejcuTPe3t40atRIFr+sYtTFhCdPnkxCQgK+vr4sXLiQvn37FinQhTuFpCdNmkRcXJxm/0idF9m1a1fq1atHYGAgERERREdHs3//fuXclmJx9VxtMpmwtbVlzJgx9OrVi169et3zff73v/9l06ZNBbr89u/fn08++UTuj98nSF9TUlmox84ZM2YQHBzMkiVLcHV1rZBnk56ezpgxY4iIiFDmaDGOtWrVii+++KLQGNS9CHPVAkf1fVy8eJFr166xfPlybt26xe3btwvkQ4n9CMt8D2mvlYfaNvfv38+QIUMqtDjK4sWL2bBhA6D1CZs3b86yZcto2rRpoT7rvdimZUODuLg4rl69yldffcW5c+dIS0sDChb8EN8XYZtPPPEEH3zwQYX8PSQSiURSfZHiXMl9TVEOt6UArDSfqQjUYsuJEyeSmJiobGi6uLgwfPhwXn755SK7V5VFoCsDPjWTogS6ltUB4Y5Ad968edSrV6+Kr7poLBdFUVFRREZG8tVXX3Hjxg2ioqKU34lgqfh+qgOndevWxc/Pj2HDhtGgQQMefvhhmSRcTVDb7MyZM4mMjATyF8qiW4U6+KgW7KqFEOrNFoPBgJeXFxMnTmTQoEE0adIEqL7J4VKYW7UIu3jmmWfYs2ePJkBtNBqZMmUKr7zyimJfZcVoNHLq1CmWL1/OoUOHAOjWrRtr164F7q5baG5uLkOHDiUiIqLAhuP48eN58803AWSA8T7i2rVrjBs3joyMDCXgPXDgQD788EPNGGcp0FXbQGkEuuJnvV7Pzz//TI8ePfD29i7yunJzc3nnnXc4e/YsFy9eVF4X87P47qirWwpbfeqpp+jRo4eShCn90MrlypUrvPDCC0RFRZGdnV3oJp6Pjw/Tp09n5syZQNnWRMIGUlNTmThxIuHh4QU2vXU6HS+99BItWrTg6tWrHDlyhJycHCUJXqfT4efnh5eXFx4eHrRv3x5nZ2f8/f015xK2VJr5XxRDSk1NxWAwyI2aaoS6s3NRa5tBgwbRp08fBgwYoJlDzWYzubm5fPPNN+zcuZOwsDBNB0fQimk///xzHn300VJdV1EC3bJ20BXXZzabmTJlCqGhoRphrpjvXV1def7555UxXFI9qIwOukUJc0WynLorwPvvv0+/fv0q9qYlVcbdrG+rYi2sFuZOmTKFY8eOYW9vr3RDfeONN5QxrLDuKMUJdMUYXphAt7i4rqRyUAtzhQ2ohbnz5s2jf//+BAcHAyhznBi/xDwaGRnJRx99xG+//QZoY0DivZMmTeL1118v9+dtMBgU2xXd69UdTdT2K6l5JCcns3nzZn7//XcuXbpUIIGrqKRvy5/VsUu4s/597rnn6NWrF4GBgcrxiprbSyPQBRT/Ugp0Hyzi4+Px9PTEzs5OMy/WRIGusPWtW7fy5ptvasZUYev/93//x4ABA6rsGiX3hrDNY8eOMXv2bPLy8pR9OqPRyODBg1m2bNk9Cc5qgkDXEnVMs7ruRUmKpjRF/5KTk7lw4QJpaWkcO3aM+Ph44uLiuHHjBiaTSVnrgLa4jDg+FPQn1OcW/xc/qwuyqn0OgaurK3Z2drRp0wYfHx+l+5mTkxPNmjXD1ta23P9OkrKhLrB64MABevXqpRRbK4swV/Dmm2+ydevWAmKJXr16sWzZMpycnGScW1IkFSHQLaljrnq8sxzj1L+H/JiAOi4kzi3eq/63+jV1kSXLXBOj0chrr73GlClTyvDXk5QFtYBn4sSJ3Lp1S8mT8fb25vXXX6dPnz6FCnTFZ//++2+effZZTSdF0O7/FIZlwwDxmji2o6MjtWvX5s0336RNmza4uLhoznu393jmzBlmz55NZmampuhX48aN2blzp9wfv4+RvqakvBG2FBkZyYQJE7h16xZubm706dOHRYsWlbtAV6x3t2zZwrvvvktubq5m/vf29uadd96hV69emrXxvYgfS9NYIDk5mQMHDvDHH3/w22+/KXYtit5IYW7VobbN4cOHk5WVxYsvvsiYMWNwd3evkHPu2rWLV199VbEndaGiovy8e+mYW5Id7du3j8OHD7NlyxaMRiN5eXmanLnCmgRI25RIJJIHCynOldyXWDo0x48fJyYmhhMnThAdHa0sOu3t7XnooYd46KGHCA4Opnbt2pV2jYUJc21tbTEajUrA0dbWloEDB/LOO+8U6aDdjUC3du3aTJ06VUm6l9RM7rcOulAwmG8ymbhy5Qr79u3j999/59q1a2RlZQH5iUtqsa5lsLVTp07Y2NgwZ84c2WWqChFjcXR0NJMmTSI+Pl6zIFU/Nz8/P1xdXXF0dMTR0ZEbN26QlZWlVJuCwpM0nZ2d6du3L08++aSSuFbdkiKkMLfqEba4YsUKPv300wIdP9u2bcs333xTruc0Go2cPn2at99+G3t7e7Zu3QqUXpgr7Dg2NpaxY8cqYjK4Y//ifnr27Fmu1y2peqKjo5kwYQKJiYnKhkmdOnX49ttv8fX11bz3XjvoAoowd+bMmYSGhvLMM88wadKkQpM51ePYtWvX2Lt3L3/++Sc3btwgOTm5wPtdXV2pX78+jz32GJ07d9Z0RpGBx6qhtMV8yirQLSkRQx1+aNiwodJRt7iNc7jTMdVoNNK+fXv8/f3p1KkTwcHBeHh4FJmAXNgGzuDBg0lJSZHB8GqEOhlD3RVU7SvOmDGDGTNmKJWb1eJba2trxZ5PnDjBTz/9xHfffVdkJ9NHHnmEt956q4DQuyjKW6BbkjBXjPtms5nZs2fzwgsvANXPv33QqcgOusV1zLU85tKlSxk+fHiBa5LUfCxtJCYmhpSUFE6fPk1cXBzp6emYzWbq16+Pj48PjzzyCLa2tpo5saJtojBhbmEizRdeeIHZs2cXeozSCHStrKyUTuNWVlasW7dOFmSrYgoT5up0OkVE/c477zB06FAleaskXyslJYXXX3+dPXv2ANrOD2azmS5durB69eoKSwZ7/fXX2bZtW4FOgE8//TTPPfectLUaSHx8PEuWLOHw4cOkpqYWm4grBA2WRVIE6uev9k+7d+/OwIEDGT16NFB8ASop0JUURmRkJIMGDWLUqFG8/fbbBX5fnEBXXcC0Ogl0AW7evMno0aNJSkpSXhNz+syZM3nppZfkGryGEhMTw9ChQ8nMzATy5+vu3buzZs2aez5uTRToSu5Pitu3uX37NgkJCWRkZHD69GkuXbqkJPUCBQp0iXGvqM5+6s9BQTFFSd3PbGxssLW1pWnTpjg4OODj48NTTz1FUFBQuf09JIVzt/t7gvIoVirGy9OnT/PUU09x+/ZtxTbMZjN169blm2++wdfXV46PDzB30/W9MIEuaAumlSTQLWk/yFKQ6+HhgaenJ82aNSMnJweTyUReXh4REREYDAaNDymuxVJUVpQoTaAusmRlZVWgUKuk8ilMmCvi3WL+dHNz47XXXmPIkCFFjpe5ubls2LCBTz/9FL1eX6A7s7rIeWFrfHUBdDHXBgYG0q9fP4YPH46/v3+5jJ9RUVGMHDmS27dvA/l+Qt26ddm1a1eRzVkk9zfS15TcLeqx07LAtaOjI48//niFCHQBzp07x1NPPcWtW7cK5HmILuCW1wllE+YWdf+CX375hUM2JUcAAQAASURBVLNnz7Jp0yby8vIwm80MGzaMd999t9THlJQPhc3rggULFjBu3LgKE+jOmjWLAwcOFIjX161bly+//JJmzZoVuE4oH2Gu5Zru2LFjnDhxgs2bN3Pz5k3Ne2UukkQikTzYlL00n0RSDbG2tubWrVvs3buXvXv3cvDgQWUzz5Lff/8duLOp17ZtW+bOnYurq2uFbuwVJcwVyZYi+Gk0GgkODi7WQRML6KCgIBYtWlQg6V4k+AIkJiby/vvv07RpU3r16lXu9yWpHESgxd/fn3Xr1hUQ6IogjMFgYNu2bQDVXqBrKcy1trZWKrKNHDmSW7dusWvXLi5cuEBoaCi5ubnKBoGwbyFut7GxITQ0FGtraxYtWlQl9yNBGXvi4+OZP39+ocJcZ2dn2rdvz+DBg+nUqRO1atXCxsYGa2tr4uLiyMrK4quvvuLSpUucOXNGU2VK/JyZmcnu3btJSUlh7ty5dOjQoVptOEphbvVAjBMisVEtTLO2tubcuXP8/PPPDBo0qNzOqdPpaNOmDR988IESALqbytji+nbu3ElSUlKBji1WVlYVFtCSVC3169enZcuW7N27VxlLhV9oiYODA7179wZQBLqgrQJ87do1Nm/eDMCkSZOU74Ner2fevHmEhoYCsGLFCqysrJg4cWKBZE4x9lpbWxMQEEBAQADjx48nKyuLa9eukZCQgLW1NTqdDmdnZ+rXr4+/v3+hG4wy8Fj5lGatYDKZSEpKYt26dQDMnDlTeb20z6ykRAzIT4wwmUxER0cr1yeS0tVJ8+rzZ2dnYzQaOXToECEhIXzzzTfY2dnh7+9P69atqVevHr169cLJyYmAgADl85A/F3t5eeHk5ETPnj3lRk01obBkDEvx4fPPP8+8efM0nxNzqWVF3vbt2+Pp6YlOp+Obb75RquQDih2ePXuW8PBw/P39S/X8vby8eOKJJwAKCHTVnf/Ehk5xAt3ihLnqjXCz2czYsWOlMLcao05kaN26tVKN17KDrnptLtamo0aNKnJ8Laljrvq78Z///EcKc+9jhG2Iee/XX38lMTFRUzlfja+vLz4+PsycOZPWrVtTv359Zd1QEd0YihPmimrVwnbPnTtX5HHU3yWR6Al3Kk+LazcajRgMBuzs7NDr9UybNo2tW7dK0VoVUZIw95NPPqF///6az5Q013p6ejJr1iwiIyO5cuWK8rqwjyNHjnDw4MFyj2UL2/P29lbOJ14HCA0NVXxm2dWk5hATE8MLL7zA6dOnNQm66m6jZrNZk3ioLhQknr+6EIx4Te37hYSEcObMGW7cuMGLL75YrI2o5/3JkycDKAJd8bq4VoPBwLlz51i8eLEU6N7HiMRKg8HAzZs3SU1NxcPDQ+PTCVuzsbFh5cqVGoGuWqRgbW1NbGysUnSwKgW6ZrMZe3t7nJ2dlVim+vuWkJAAyLhQTcRkMuHi4oKLiwuZmZmaJMjY2FiysrJwdHS8pzWJGCNdXV2VNZMQ6Ar7ET7hmTNnWL9+PYAU6ErKncL2bcQ87eLigqurKwBt2rQhNDSUXbt2kZeXp6yBREJw/fr1CQ8P59atWwV8DPW6XoyRlmIJs9msxLDUgiO1iEIUej9//jwmk4lhw4ZJsUQlIGI8AGvXrqV79+4EBgYW+l7Lcak81hNi/vTz88PFxYXU1FRNl9G4uDjWrVvHyy+/LOfaBwgxTmVkZODi4lKqPR3xnq5duyq5Rnl5eZocNTHWiAJqcKdAkXq8Km4/yDLG36FDB1q1asXEiRNxdnbG29tbM+4lJiZiNpu5dOkSUVFR3Lhxg2PHjpGenk5MTIxGfCsEv4V151XveYnxVIojqpaihLki3i1IT08nJyen2PHS3t6eIUOGkJuby6pVq8jNzdUUfBXrDrWIrLA1FtyJRXXv3p3nn38eb29vHBwcys2vdHNzw93dnYyMDMV2jUajco9SnPtgIn1Nyd1ibW1NVFQU48ePJyUlBTs7OyUGn52dze7duwEqRKDbsmVLJkyYwPLlyxV7EuPj3r17+e233+jfv79m/2nRokXlJswV9w/5+6YDBw5k4MCBDBo0iJ07d2Jtbc3LL798V8eUlB3hZ924cYMpU6Yo87oYpz788EOAchfoCjsYP348Z8+e5fbt28p4ZmVlRXp6OufPn6dZs2bKa+XdMVfYuhg3O3bsSMeOHRk1ahTbt28nNDSUv//+myFDhkjfUyKRSB5wpDhXct+RnJxMWFgY//nPf4iPjycrK0txctSb1pBfGU0kPZw5c4aTJ0/yxBNPMHjwYHx8fMrdSSpJmCu6QcAdB1AkeRYXCCpJoCuCjyaTiSFDhkhh7n1AcQJdg8FQIwW6AnXVd2tra7y8vPDx8aF58+ZYWVlx5swZoqKiCAkJISwsjJs3b5KcnKwEiPR6PW5ubmzZskURZ0gqHysrK27fvs2HH35IWFiYYrNizPX09OT111+nffv21K1bV/mcCFCL19544w0iIiLYunUrGzduLFD5z9ramtzcXEJDQ8nJyWHu3LmapN6qRApzqx/NmzenYcOGREVFAfmbMgaDgVOnTpWrOBfujNVCmGsymUotzBXXZmVlxaVLlzRdAoQv0LNnT9q0aVOu1yupesRzF4FKEei+desWoaGhDBs2rIBPeDcCXZPJpCQDz5s3j5CQEKUTc15eHsuXL0ev1zN//vwCm4Nifhbnd3JywsXFhdq1axd5PzLYWD0obTGfsgh0S0rEUF+H+Nlyo9zyZ7HhqK5wLT5rY2ODXq/n2rVrXLt2DUC57k6dOlG7dm26detGQEAA/v7+ynz8yiuv8NhjjynHl/ZZdRSVjKFOkHj55ZeZMWNGicdSP8fGjRszatQoEhIS+OOPPzSJOzqdjrS0NDZu3Ei3bt1K3YGvPAS6pRHmCr9k2LBh/Pvf/waknVZnSiPQtbSR4gS6xXXMBW23vrfffpsxY8YA0kbuR3JycoiLi+Pdd9/l3Llzmq4h6oJXgBLjjI+PJz4+ngULFtCzZ0/69evH2LFjNevw8qI4Ya660IDRaGTUqFG88847QNFxzdIIdNXCniZNmhSZAC2pWEoS5i5fvpx+/frd07GDg4Np0aIFV65cUcY7dTJvWlpaed4KkJ8w36ZNG3Q6nZJcLGwtNTX1rtbwkqonKiqKWbNmERERoUkaU4tzTSYTHh4eODk50a5dO03SbGpqKteuXSMiIoLc3NwC3ZcApfiLyWQiIyOD1atXk5CQwBtvvKEkUhaGFOhKBJGRkUrHEysrK/bt28f+/fsZOnRogXmyOIGusKnqJNC1srLC09NTib1adjSTAsqai7W1Ne7u7jRt2lQRWYskyJiYGOLi4sq0FycFupLqilhrW9pX8+bNcXZ2JiUlReMv1KpVizVr1nDz5k2uX79OTEwMoaGhpKWlcf78eW7fvq34zpC/RrLs4qf+vfi/iJmKeIP4bgwdOlQpQii/CxWHel395ptvsnXrVjp37sxbb71VqbkIZrOZWrVq8eSTT7J06VLFXsT/r1y5ohS3kvZw/6MWPb7yyisMHjyYJ598slwEuuq5tzCBrl6vx87OrshCreoY/9ixY5k3bx7e3t6KbaqxsrJS9hl9fX2V1/Py8tDr9Rw5coTExET++usvYmNjiYuLIz09vdAOkupxU4yRUhxRdRTXMRe08e5XX32V8ePHl3jMOnXqMG7cODw9PXnvvfeUQobqwmoin8KycYCwz8mTJ/Pwww/T9/+xd97RUVVdH35m0klISIHQQmihJhAQkKZ0pSggvRcVEHvDgoov9gpiA2wogp+IAoogAgoSeg2EEkhIIIQU0klPpnx/sM7NvZOeTApwnrVchiQz905mzz777LN/ew8apHlua/nMlJQUsrOzNc+ntntpixKBjDUlpbF27VpSUlKUugiR7zSbzVUm0BXvc9++fdmwYYMyEVTYS35+PidOnOCee+5R/K41J+Zaoj7bMpvN+Pv74+fnh4ODQ4WfU1JxdDodqampTJw4kbS0NJycnJSBaSL+qwqBrrCDjh074ubmRlpamrLO63Q6MjMz+fbbbxkyZAjOzs7K46rCNi0HUHl6evLwww8zd+5cdu/erdTuSduUSCSS2xdZXSC5pThy5Ah//vknf/75J5mZmdja2moCInWHNEApdhCbF71eT0hICLGxsZw+fZonnniCZs2aWe3+yiLMrWgAWFzRvRAsim5WckrUrUNFJujOnz+fJk2a1PCdlw1hn5ZioICAADp16sSIESMwmUxERkZy6dIlkpOTCQ4OJiMjg/nz50thbg0i/EtQUJAykVEc4hgMBjw9PVm+fLmmuEw9zUL9PXt7e/z8/HjllVdo3rw5a9as4dKlS8rP4cYGOicnhyNHjtC3b99aIc6Vwtzaibe3N23btlUKNaGgw+7q1avp27cvd999d5Vcu7xrrk6n4+TJk/z999+arpbivn18fACZBL/VEO/nnXfeyR9//KHYJ0BMTAxQ9OFgWQW6v/zyCyaTiT179ijCXMuD8LZt25bYtVf92SkNGWvWHqpSoFuaMFddiCtiAb1er+naqxb1qIW76vuHgqYKQshpOV1X2LfJZOK3335Dp9PRqlUrXF1defXVV6Uwt5ZQVDGG2j7ghpB61qxZQPnXuvbt2zN8+HB27dpFfn6+ptOzTqcjLi6OlJSUEpsLWFKSQFe97ypKoCsKm0oT5loedEs7rf2URaArpn4WJ9AV63xxE3NBW9D2xhtvMGHCBEDayK1IZGQk27ZtY+PGjURFRWmaDYo8j7pYRr1HED50z549HD58mIiICF566aVqE+aKBoji6wceeEAR5orHFUdpAl0xNdff35+1a9fi4OBQ6nNKrEtVCnPNZjOOjo7MmDGDrVu3aorIBOfOnWPkyJFVsv91dXXVNIiBG3736tWrREVFWfVsQFJ1REVFMWPGDOLi4jRF4er4sn79+nTq1EkpDFcXfgvy8vKIi4tj37597Nmzh6CgoEJnN5ZTRf744w+ysrJYuHBhiY0xpUBXEh0dzbhx47h+/bpmqsT69evp1asX9evXL/SYm0mgq/bRlk2SzWYzeXl51Xo/Eush3ltXV1fNNDobGxtsbW1JT0+v9DWkQFdSFiwnf9UEwhbt7e01vk6v1xMbG0tCQgLNmjVTYshJkyah1+u5evUqGRkZnD9/ntOnTxMXF6fkZlNSUoCCOhZ1rlbdtFX9+ZOis+pDfd772muvsX79evR6PYcPH2bx4sXVKtAV9ta2bVucnZ3JzMzUNPzbt28fGzduZOLEidIn3uKIz3xUVJQyUS8jIwMHBwfGjx9f5QJde3t7UlJSmDZtWiFhrnoPNmvWLF566SXNdcvSuMVoNGJnZ4ednR0DBw4EYPz48RiNRi5cuEBkZCQXLlzg0KFDpKSkEBUVpZkgCcjauBqmJGGuZW3kSy+9xMyZMzWPK4n69eszdepUOnfuzJIlS7h06RIxMTGa3I7Ya8GNvKSPjw8DBgxgwIAB9OrVS/k9azc1BIiNjSUlJUU55xTnoW3atMHV1dWq15JYFxlryliztvHEE0+QnZ3N5s2bNTnJqhToCpsLDAzE39+fmJgYTf2u0Wjk+++/5/7776dDhw5VKswt7t6EMFfYrKR6Eed/P/zwA9nZ2UUOkqoKga7ZbKZRo0Y8/vjjvPzyy5o6J1tbWyIjI1m/fr1SX1IdtmnZZEEKcyUSiUQCUpwruYXYvHkzq1atIiwsjPz8fCXYs9w4q/9t2Z1MFLMlJiayefNmPD09WbBggVWSMSUJc4FKCXMFlkX377zzDidOnCA/P18W+d6i3OoCXTWWGxrxmWrVqpVy6DVu3Di5+a4FiL//H3/8QUxMjFIgZDAYcHNz44MPPqBTp06FfLMl4nviIGjq1KmcOnWKyMhIzbVEEnHUqFHMmzevql9eqUhhbu1ErH1jxozh0KFDZGRkFBLUrF+/nlatWtW4jxRT1v7880+NmEOn02E0GmnQoAGTJ0+u0Xu8nRHvSW5uLjqdrkQha3kR/tPHx0cRbYn3//Tp05rrW1IWgW5YWBjLli0jKytL8VPqovqlS5cybNgwq70eSe2iKgS6JQlzoSBWFYJb8fg6depgb2+vdPEVB0pQ0HxD3clXHARa7ulKm66bm5vL+fPnGTRokGbKnowVa47iJuYWJ8wt795V2MHQoUM5cOAA69at00yeN5vNhIeHc/ToUYYPH16ue6+IQNfR0RE7OztMJhMzZ84sVZgrD7pvPsoq0FXbiFqgC1KYK7lBcHAwX3zxBcHBwaSnpyv+wbJphVoAK9ZIKJjmKIrPxD7UsgiyopR1Yq44mH/33XcBFNsvjaIEujqdjj179pCXl0fnzp1ZvXq1FObWAFUpzAWUfa6npyd16tQhNTVVsQcRU4prVUVhnLe3N/Xr1yc5OVmxYYPBgMFg4PLly1KcexOgji+LKwrv378/w4cP5/7779fEhermrTY2NtjY2ChFjpMnT2bDhg3s3buXrVu3Kr5HPL/I/5lMJnbu3EleXh4LFizAz8+v2HuVAt3bF5PJxM8//8z169dxcnIiJydH+Vl4eDjXrl2jfv36RcZ4pQl0xb65pgW6wn8mJSVpvm95FitFlDcfYu1v3749f/31l+KrzGYzWVlZhISEEBgYWOn3Vgp0JUVR1DliTb7POp0OFxcXAgICiI2NVfyw0WgkISGB06dPK+dL6vPqhg0bYmNjQ9u2bRk5ciQAycnJ5ObmcurUKWJiYrh8+TKnTp0iJyeHiIgIZa8FBZ8PETvLHFL1UJQwVz2d8fDhw7z11lu8+OKLtGvXrtruq1evXvTv358tW7ZoJkQaDAb++ecfBg8ejIeHh/SJtyiWoseUlBRsbGwICwvju+++Q6/XK00BS6O8Al2z2UzdunVp2bIl06dPL9SoVZ3HfPDBB3nhhRc091xWiqrPM5vN2NnZ0bFjRzp27AjcaK6Uk5PD4cOHiY+P559//iE6Opo2bdrI2rgapDhhblH57oqeBZlMJvz9/VmyZAlJSUn8+eefxMXFERoaqsSqTZs2pVWrVvj5+dGrVy9cXV0L2ZY1hbliXyYaCKvzB2KyHsj9UG1Dxpoy1qytGI1GnJ2defHFFzGZTGzZsoWsrKxqEeiKGHju3LmcPHmS+Ph45ZxK+LY//viDb7/9li1btgBVL8wtCulLawZ3d3fmzp2Lk5MTy5cv19Q0qr+2tkBX3aioZcuWhIWFaZpkA5w6dQq4UaNRXaJx9b0JpM+USCSS2xtZxSK5JVi7di0ffvihcqAtCi/URb4iGLM8BC4uGOrQoQNjxoypFmGuulCksgGguuh+4cKFPP/88wQEBChFcXLTfOtREYHuo48+WmIn/5uBoj6blpNXJTXHb7/9xu7du5X3xGQyYWdnx+zZs+nevTtQtkSJOGgBWLVqFb///rvyWJEgLKr419odLsuKFObWXsTa1759e1xcXEhLS9OIJeDGQfrx48dp0qRJja2X4rqZmZns27cPQDlcF/GCn58f7u7ugEw4VjdiTY2Ojmbx4sVMnDiRu+++26oCXbPZjI+PDx4eHqSlpSmHIqGhoeTk5ODo6FjsY8si0M3OzlbiRXVR/ZIlSxRhrjwYvHWxpkC3tIm56gP2pk2b0qJFC8aNG0eDBg1o2rQpTk5OJCUlkZqaSnp6OsePHychIYGzZ89y5coVjEYjGRkZmm7X6ntQC5Usmy6pbXv06NG89957yu9J2645iivGsJYwFwoEPjY2Ntx5551K0ZyIGYVdqovhy4MQ6Op0OlauXFmiQNdkMinxqaUwV/hgKcytHQgforaf8lDRCbomk4nx48cTGhrKtGnTpDD3Nmb//v28/PLLXLt2TbMWQ8HaZ7l3EQjfJtZf4VMbNGigmQRRGSojzC3P58lSoKvT6UhNTSUvL08Kc2uIqhbmCmxsbBSRbGpqqub7BoNB2QNVRSzXsGFDvLy8SEhIUL4nPlMxMTFVdl2JdShqCg9o48spU6Ywffp0WrRoARSso+I9VfsU4bOE/xozZgwDBw7k7rvvZuHChcpzinVYvTcRBbivvvoqzZs3L/aepUD39kSv1zNq1CjWrl1Ldna2ZvJoSkoKn332GZ9++mmx+aWSBLpiHa7pCbqiOadowKT+vtlspn379oDMZd6MCN8ofJuI+wRpaWmAdd5bKdCVQGGRRHh4OHFxcYSFhWFvb4+NjQ2dO3fGzc1Nc9ZdHXtlcV8NGjRQrgkF8WNsbGyh34WCz5F6rXd3d0en09GoUSPl97KysjCZTJw7d460tDROnjzJhQsXiI+PJzQ0FIPBwJAhQ2QOqRooSZgrBgXY2NgozQFff/31arkv8Z4PGjSIf//9l/z8fE2u4OjRo1y5cgVPT0/pE29BihM9ivf/ypUrrFixgpycHKZOnVqm5yxJoCumoIm1d8+ePRiNRiIjI4mJidGID4sT5lqrbsPyOUwmE/b29tjb2yt5icmTJyvCIfXfS1J9lDQx15pNWsVaWq9ePerVq8dTTz0F3FhH69Spo9iw5b1VFeqc7MGDBwE0uVqdTqdMgZa+ueaRsaaMNW8GRK6nTp06vPzyywDVJtAV9tSoUSNatGhBfHy84uOEb1u3bh3Z2dlAzQhzJTWLh4eHkte2FOhW9QTdtm3b0r9/f8LCwpT4QsSzW7du5cqVK4SEhADSNiUSiURSM8hKFslNz3fffadsCtVFEZadUXx9ffH09KRFixbY2dmRmZnJ4cOHyc/PJyEhQdnUmEwmWrduzVNPPaVM46wMJQlzLYvWrRUAqovuv/76a2WjLYPKW5fbVaArqb2Eh4dr/I3ZbMbFxYU777yzzCI2dVJU7ettbW01U/JKKv6tzsJdKcyt/ZjNZry9vZk3bx5vvPGGkqiBG340LS2NpUuXEhgYiI+PT40IvcXn5uOPPyYiIkJTYCfiBWsmriRlR9hDTEwM06ZNIy4ujuvXr2NnZ0evXr2sJtDV6XR4e3vTsmVLjh49qnQ9z8zMJCkpqdTJzmqB7vLlyzl//rzm5+riOVFU/9lnnzFkyBDl5/JQ8NbGGgJdUeBQ3MRc9R5n1KhRTJw4kYCAgEKH4XXq1FGmkYkpeXl5eaSmphITE8OxY8dISEhg7969ZGZmKoeOltdRi4LUYqGRI0cqwly5F6pZihNOWKNLuiVi7e7WrRt169YlPT29kG8TzQsq4vM8PDwYMWIEQCGBrvrwaePGjQBERUVx7NgxjTBXPRFaCnOrH0vhS1FFDGrKYidlEeha2shrr71GfHw8P/zwgxTm3sb8999/PPnkk+Tm5irvrfATRqNR8Ruurq7UrVuXNm3aYDAYyMzM5NKlSyQkJBTyqe7u7jz99NNWEeeWJMwVBWbWbJql/iz17t0bFxcX2rdvr6wdUphbfVSXMLcsiD2QtfcposCtbt26AJr12Ww2c+TIESZOnCj3SLWUskzhefTRR5k3bx4ODg5Ayc1a1ainl9erV4/Ro0fTsGFDPvroI8LDw8nJyVHsRT1Bd+/evbz33nssXrwYb2/vYtdtKdC9/TCZTPj5+TF16lRWrVql+BmR84uMjOTChQv4+/sXazc3wwTdXbt2ceHCBU2hs/g8yrOomx+1HYniR6PRyOXLlwHr5RSlQFci3r/Vq1dz/Phxtm3bVmgKt4ODA3q9ngceeICOHTtqpkRWpQ0IHy3O+YQtCr9+8OBBpk2bpghxLBH3qP6ZuF+z2UydOnWAGzktnU6nxNsmk4mIiAgyMzPp3Lmz5l4k1qckYa5Yb+HGnikwMFARTFQH4tp9+vTB29ubS5cuKbGora0tWVlZfPzxx3z22WfUq1ev2u5LUvWUNI1Up9Nhb29PXl4eV65cwcnJqVzPXZ4JuqKxdFkm5lblObul/xNrhMgblXXvJ7EeJQlzLe3EGmdBRa2zYu9vZ2dXaG9dlfYg1vEvv/ySc+fOKX5ZNDCys7OjTZs2gJymVxuQsaaMNW8WxPqsFuhu3bqVzMzMapmg6+npyezZszl48CAGg0HjU3NzczXnq1L8ePtRnEDXslm1NQW6wqYmTZrEf//9x4ULF5Tvi+udOXMGkMJciUQikdQcsppFclPzww8/aMRaokhbdOtxcnLCz8+P0aNHc++99+Lp6al5fFJSEklJSXz++eecPHmS+Ph4GjZsyMyZM+nevXulE4WlTcytCmGuQGx+hDBXJh9vfaRAV1JbiIuLY/PmzZqEN8Dw4cPp0qVLmZ6josJctZ+LjIwkOjqa3r17ayZiVAVSmHtzIGygU6dOtG/fnpCQEE3Ru62tLTExMTz55JOsXr2aunXr1ohAd+fOnRw6dAi48VlQfx4GDhzInXfeWa33I9EKcydPnkx8fDz29vacPHmSTz/9FJ1OR8+ePa0i0BXXEh1RhY2mpqZy9OjRUsW5cMP39O3bF3t7ez755BMlKSnsSH24NGbMGEWYKwUPtw+VFejq9foyTcydPn26UkgJhfc5apsU1xT236BBAwIDAwFISUkB4MCBA0RFRXH48GHCwsLIyMjAYDAUEghJwWPtoizCCWsJcwXCHvPy8hThjRBPAOTm5gIVF/mUJNBV77uEQFcKc2sH4m8s/s4JCQlERUURHR1NZGSk4k/atWtHvXr16NatGw4ODmVeG8sq0DUajcpn4fPPPwcoNlckhbm3NkFBQcybNw8oOq8JN/J6AwcOZNy4cTRt2hQXFxfl8dHR0YSGhvL9999z6dIlEhMTcXNzY+bMmfTv37/SsWl1Tcy1xPKzBAWH65LqwWAwVKsw12w2c+7cOaKiopTvqQVd9evXt9q11Ig1oVOnThw5cgSdTqeZpJKRkaH8nqR2UZb48tlnn2Xu3Lmax5Un9lPvVcSe/6233uLrr79mz549pKenFzlBd/fu3bzzzjssW7ZM2c8X5ROlQPf2QthK165d+eGHHzSibrPZzOXLl9m2bRv+/v4l+pzSJujWlEBX2Oq5c+cAFH8q9vje3t5Kga/k5qVNmzbUr1+f5ORkJR6EG41as7Ozyy0EKgkp0L19ycrKIjg4mB9//JFdu3Yp76MQ2QjfYjQayc3N5aeffgJunKlMnz6dTp064eLiUmX7Z/GcYhq4yGkKMjIyyr1vUTc0sPyeWC/UIg2Q+YGqpCRhrhAlCLFVYGAgq1evxt7evtqbRbu5ufHYY4+xaNEisrOz0el0GI1GdDodV65c4cSJEwwYMKBGzjgl1qcs00jz8vIAePHFFxkzZky5r1HaBF3RVAYK8uw1JcwtCssGjDIOqF5KE49X5VmQGrXNFSVSrEpCQkKUqblinyeu/cADD9CuXbtquQ9JychYU/s9GWvWfooS6FbXBF24UVt31113sXfv3kK5c/XUcJDix9uR6hboCpvy9PSkZcuWXLhwQckNifNVtY1K25RIJBJJTSArWiQ3LevXr1eKvooqYKtXrx4PPvgg/fv3VzqQAUoC0WQy4enpiaenJ59++im///47e/fupVGjRgwaNEjpFlVRxMFgdU7MLQmZfKxaiksui+9X10GwFOhKagPZ2dlKIZC6mMzHxwco3c9VRJhreeh54sQJli5dSlxcHMuXL6dVq1ZV9jmUwtybj3bt2jFixAhCQkKU90/tI8+dO8eLL77IBx98gIuLS7UeIF67do2//vqLK1euAIWba/Ts2VNOza1mihLmiphOr9dz5swZlixZwuOPP87AgQMrHccJW+vbty9bt25VuvmaTCaSkpLK9BwGgwEXFxfuuOOOQlPMLf3g6dOnWbt2LVOmTFEK72Uy8vagIgJdo9HI3Llzyc7OLnVi7uzZs3nxxReBAtsrzrbUhRPiM6C213r16qHT6Rg+fDgAc+bMISsri7CwMIKDg7l8+TL79+8nPz+fuLg4KXisRVTnxFw1NjY22NnZYWtrq6zz6kI6sd+vTHxYmkDXslgJtBP5pJ1WL8KnpaWlERoayu+//86pU6cIDw8v9jEdOnSgSZMmPPbYY3h7e+Pu7q48V3F2U1aBrihMEs8nhbm3HwcPHuTpp58GihfmTpkyhSFDhmgm4KqLgRs3bkzTpk3x9/fn2LFjrFq1Cl9fX0aMGFFpAY4QwxqNRmbNmlXlE3MtsfyMSfuvPqp7Yq7wmVFRUYpvVBcWtW/fnp49e1rtekXh6emprM9qwsLCSEhIwMvLS+bWaxFliS9ffPFFZs+eDVR+oon6se3atePxxx/H2dmZ7du3k5qaWuQE3b///ptFixbxxhtvaCbmWCIFurcfAwcO5L777mPjxo2aPYrRaGTz5s0MHToUf3//Ep+jNIGuEE5Up0BXp9Nx5swZRSBpOT2lRYsWNGvWrEquLak+bGxscHR01Ox3dTod2dnZhdZQayAFurcfSUlJrF69mn/++Yfw8HDFl+h0OvLz8xVhgvi/enrZrl27uHz5MoMHD2bmzJl4enpW2T7abDbj4OCgyTeJGDYsLIwrV67QuHFjq+yLinsOuT+qGsoyMbemhblQYBft2rWjUaNGREREKPcIN5pob9iwgQEDBlRrnYqkaqjOaaSlTdAF7f5IfB4AHn74YZ5//nmg+oW5kpqlNGGuOtdZlcLcmkD41/z8fDZt2sTx48cBNLEBIBsV1RJkrFkYGWveHJQm0FXbqrUFuu7u7nTv3p2goKBCA1rU/n3BggU89NBDwK3h3yVlpziBrsFg0NSpW0ugazabcXR05NFHH+XAgQOkpaVp1lzL2EMKcyUSiURS3ciVRnJTsnv3br744gsATaJZBHNeXl588sknzJo1SxHmigDMzs4OKNhIigPDUaNGsWDBAubMmWOVA2q9Xs+1a9cYN25cjQtzJVWLSC4bDAa++uor1q1bR3h4OOnp6YptFnXgURWH1VBYoNu0aVOlCFjcrzgg+vXXX1m+fDkxMTFVci+S25OzZ8+SkpKiJAn1ej22trZ07doVKDmRZw1h7q5du3jyySc5fvw4UVFRfPXVV5rid2sihblVR1l8pHoSXnmfd9asWQwdOhTQTl0WCe49e/bw5ptvkpGRoYk1qgL1/f/0009s2bIFuOHPRRLJZDIxcOBAReBRntcsqTglCXOFKAEgNDSU69evWzWOEwIgcS2z2cy+ffuUSc/FIYQUubm5PPfcc4SGhmqmh6uTkgAXLlzgp59+Ujq/iuS+5PbAUqDbpUsXZc0FbYOAxMRE1qxZw+eff86ECRMKCXPVSe4HH3xQEeaqizbLe2+WX6vvq27dunTt2pUHH3yQxYsXs27dOn7++WeWLl0qBY+1hJqYmCueB+D48eNkZGRoDq6FDYku5ZWND4VAd968eXh5eWliCoG4hhTm1iy5ubmcPHmSefPmsWDBAjZs2MDFixcBsLe3V7qD29raKnuL0NBQduzYwZw5c/joo480xTUlxWLqnwuB7tChQxWfqV6Xxe+DtqDtf//7nxTm3sKcO3eOd955h8zMzGKbXLz55ps89dRTijBX+DZbW1vFHsT/GzZsyIgRI/j666958sknlcZYlUH4rNmzZ3PkyJFC0wOqUpgrqTmqW5gLN3xgfHw8X3zxhWJfIpdkNptp3Lgxjo6OVr2mQPjq1q1bY2Njg62trcaHp6amkp6eLgvZaxFljS+FMFc93clatGjRgrlz5zJ+/Hjc3d2Va6gnhep0On755Re++uorAE3hmiXqPfj06dN5+OGH8fb2LnT/lgLdU6dOWfV1Saoe8T7fe++9eHh4FDqjTEpKIiwsTPO94lDb/IoVK+jfv3+hhkDiayHQ/fXXX0lOTrb+C+NGvuCnn34iOztbE9uYTCbq1aun5DOrMr8qqVqMRiNOTk60aNEC0BaqX7p0iYsXL1ZJvtpSoHvvvfcqE3rVAl1AEehu375d0/BDcnMQFxfHokWL+OmnnxSxhHrfoc5pq/OD6rU3IiKCX375hffee49r166VuP5WBp1OR/PmzWnVqlWhnGVaWhppaWlyX3QTUtrEXGGTNS3MVePn56fkjsQ9iv927NjB+vXrAdnE/2amJNGjtYW5AkuBLhQMwADtGY34+t5771WEufn5+dIH3kaUZarzrSrMVe/Xv//+e+WcXd2A2Gw2M2jQIMaOHVtj9ym5gYw1JTc7lgLdESNGKI2o1blJQBHovv3226Snp1e4/kfY3axZs+jatavms6JuTP3YY49JYe5tjhDozp8/Hyio4xXNqcV+acmSJaxbt460tLQKX0v46caNG3PXXXcBBbWV6kaBcCP2kLoMiUQikVQ3crWR3HRERESwbt06EhISgIJDalEoVL9+fb777jt69uyJvb298rjiks7qzXKDBg2oW7eu1e7V1taWBg0aABRZaCeFuTc/amHuxIkTWbJkCa+//joTJ05k5MiRPPbYYyxbtoxffvmFS5cuERcXpzxWLQQD6wqtyiPQXb9+vRToSqyKKIwTiRmTyaSIy0qiIsJctS1nZmby448/Mn/+fBISEpT1ISIigtzcXKu/TinMtS6WyUCj0ahMQAwODubs2bMcPXqUoKAgwsPDiY+PJyUlBSgs2ioJ9bo/ceJEOnToUOj6IkG0fft2/ve//1WpQFdt999//z0rVqwA0EylMpvN+Pn5MWfOHOVe5WF61VOSMBfQFKk/++yzjBkzxqrXb9u2LQ0aNFA6mwMkJycXmqasRsSTeXl5PProo+zdu1fxU+L/6qSkeJ6LFy/y008/sXbtWuX7UqB7+1Aege61a9dYsWIFYWFhSsGtEKqrhbkvvPACYH2RjrBdsfar79HDw4OGDRsybNgwQO6vaprihBNqW3nxxRerpBhDPM/+/fuVw0Fhx2Itr1+/vlWuBaULdMW1pTC35jh58iRffvklDz30EMHBwSQkJCjFFzqdjry8PKX5hdFo1EwQt7GxISEhgd9//51nnnmGHTt2AKUXNpZFoKuOXdUTG5csWcKkSZM0xR+SW4dr166xevVqLl26BGjzhcJXfvbZZ4wfP17TPbosduDu7o6vr6/V7jU0NJTMzEwcHR01flwKc29NakKYCzeaJ2zbto34+HhF3Ag3bMrLy4snnnhCE5taE+HLW7RooRTWi+uIz+TVq1etfl1JxahNxb5NmzZl8uTJ3H///bi5uWnyNOqvN23axK5du4CSY4eKCHTfe+89KdC9yRD22LNnT5o3b66xUWHHy5cvJz4+vky2W5pAV9hUVQt0jUYjhw4dYu/evcq/xWcToHHjxrRq1Up5nZKbE9HMSExAVtsX3Dibqap8tRTo3vpER0czf/58/vnnH6UxSlE5bDXqXLe6GD01NZV//vmHZcuWkZycXGU2YGtri4uLi+a5hXDtypUrQNU16ZZYn9KEubVlYq4aYXvDhg2jZ8+eyvfUZ45BQUGa2hTJzUVJokeo2gaYJQl01f5ZIOJBQJleL7n1KU08fisLc6EgPlm7di0ff/wxULi+o0WLFprXLakZZKwpuVWoboGusG+dTqcMY1HXLun1ehwcHJTp4Hl5ebeEf5dUjOIEuiKfbW2BrouLi3JepT7XF/bZs2dPZQ0uqrm6RCKRSCRVhVxxJDcNYoNw5MgRDh48qAmaRFLHy8uLH3/8kTZt2pRrQ1FV0xQ9PDz4/vvv6datmzLFTApzbx3EQU1+fj7Tp0/nzJkz2Nvbo9fryc3NJTY2lqCgIJYvX86iRYuYMmUK48aN4+mnn+b9999n+/btXL58mfT0dMD603WlQFdSUwh/ZimYFELKoqioMFdd0HPmzBnefvttoCAxCRASEsKePXus9fIKXVsKcyuHZSHP6dOn+fPPP3nuueeYNGmS8t+ECROYNm0ac+bMYfz48YwaNYqpU6eycOFCvvrqKyIjI0lNTdU8d3GJcGFrd9xxB0OGDMHV1bXIn2dnZ/PXX3/x/PPPk56erhSiWxNxrTVr1vDee+8BaCZMmM1m3NzcGDx4MG3atAHKVpgvqRxlEeaKr5999lnmzp2rPM5aeHh44ObmpplKGhsbS0RERJG/rxbmzp8/n3379inJcfX9NmrUSJOUlAJdCZRPoCsKbYXgUb3HqUphbnH3rf6/Gukra47IyEimT59eqGAI0Ahz1RPNrP1+7d27l02bNgEoAkxhz/3796d3795WvV5JAl3hi6Uwt2bYtm0b77//Pt9//z0ZGRka36Ze59RTGtU+RbxPZrOZ+Ph4nnjiCUV4UBqlCXSFbVjGrJaTKCS3BsLeTp06RVBQkKZQQS2AXLlyJUOGDKmx+1TTvn17XnrpJbp166YUlwFSmHsLYjAYCglzzWazYpcrVqywujBX+Ljw8HA2btzI9evXlZ+JTuc9e/akYcOGhXyzNREFTQ4ODsp1xGczLy+P8PDwKrmupHwUVZBe08W+jRs3Zvr06QwZMoQ6deoUuX+OiIhgx44dSv6/JMoj0DUajZw6dYoFCxYoRZmSmwOTyYSjoyOPP/44devWVXI+Yi1NTk5WhA1lyTGVJNC1LJi0tkBX2OvFixdZsWKFRlQsBEwATzzxBE2aNKn09SQ1i7Ald3d3gEKF7GWd+lxRpED31uXKlSs8+OCDnDt3TsnfiPdb+BF7e3saNWpEs2bNlKboIhYQjxG2p9PpyMrK4r///uPnn38mOzvb6nGkqPlo2bIlUNAQVvjfEydOKPciqf2UJMwV+b3aJsyFAvtq0KABd955J1CQAxVs376doKAgQOaYbjZqYmKuJcUJdNV2L+xt586dfPvtt+zbt0/5vrS5W5vSJuYCN4Uwt7J2+v333/Pmm28Ches76tSpQ//+/Wnfvj0gzyxrChlrSm41ShPogrbezRoCXTs7OyZPnoyHh4fSuEaQm5vLRx99RFpammaIluT2pCiBblF16tYQ6AIMHTqUoUOHAgVruhCpR0VFERwcrMkXSSQSiURSHcidn+SmQa/XEx0dzdKlS8nOzi4kNvDw8OCLL76gefPmtaLbiUjYe3p6smzZMnr06KEUNElh7s2PsL38/HxmzZqlFK8ZDAZl2o44uBHJnZSUFBITE9m+fTurVq3iqaee4r777mP8+PEsWLCAjz76iMOHDxMaGkpOTg5QOEFnMpnKtVGWAl1JTSB8nSgcE/YmCi0tbdgawly4UfAeGBiorAsiaQlYddKJFOZaF+Ef//77b55++mkeeughnn/+ebZv386ZM2e4du2a8rvCp+bn55OamsqlS5fYsGEDS5YsYdq0aTzzzDNs3rxZeYw6UW6J2WzG3t6e6dOnKwfX6gS2euLJ7t27mTVrFleuXLHKmq0+6MnJyWHFihW89dZbgPbgRlwrMDCQKVOm4OzsXOlrS0qnosJcayb1TCYT9vb2mkMXo9FIampqkf6sOGGuuF/hl9977z3efvtt2rZtKwW6kkKURaAr/i++Vn8eZs+eXa3CXEntJCsriyeeeIJr167h6Oio2Ic4CNHr9XTo0IFx48Ypj7H2fvjatWts376d3NxcTSwg4ogePXoUKYisLEUJdNXxrBTmVj8//fQTr732GidOnCAvL0/xWWKPom48oJ5cK4odLCcgA7Rp04ZGjRqV+R7KItAViOs98cQTrF+/XikAlWvxrYFeryc/P5/ly5eTmJio2Jl6Lf3oo4/o169frShgFPfQvXt35syZQ69evbCzs8NoNEph7i2GwWBg2rRpGmGuyMMAjB8/nv79+yu/aw1E3jQ9PZ0PPviA0NBQpdhNPZ1KTCUtraFhZZok6fV6PDw86Nixo/JvUXwfEBDAlClTKvzcEutQVEE6VO2kqLLi4+PDrFmzCAwM1IghhH8H2LBhAwcOHCjT85VFoCumVxoMBrp06YKPj08VvDJJVSFs09fXlxYtWgAF+xSTyURGRgZbtmxRvl8WSpugWxUCXXEGe/36dV577TXCwsI0k4XE9WfNmsXdd99d4etIKofwJ9bYTwj/1qlTJ+zt7ZV9jnivQ0NDgaoVHUiB7q1HVFQUU6ZMISoqSsmfiHNte3t7mjZtylNPPcXy5cvZsGEDv/76K2vWrGHVqlWMGzeOZs2aacSTAp1OR2JiItu2bePy5cuAdZtqimuJM0BL20pKSlLuQ1K7KW1irshl1jZhrkCcr8+bN4/OnTtrRGHi/j744ANOnz4t7fEmoiYn5loiYsmiBLoifhWfoT179rB69Wop0L0NKE08DgWNMIcPH67YaH5+fq05ExF7ofL4RnUsERcXx9KlSzWN19V1BAAdOnRg1qxZuLi4WOu2JeVExpqSW5WSBLpqPwzWEegajUaaNGnCxIkTlRhAXMvGxoa4uDhl/ZfnmZLiJuiKHJK1BbqBgYFAQX4VbthmTEwMJ0+erDWxh0QikUhuH+TKI7lpyMvLY82aNaSmpiqFQjqdDoPBgIuLCwsXLqRz586awgdrU9IGoqifqQW6S5YsoU2bNjz77LNSmHsLIAoMpk2bxrFjx7C3t9cUrqkn8YjCb7UAUafTYWtrS35+PleuXGHz5s188803PPzww0yYMIFZs2bxxBNP8MUXX7B//34uXLgAUCjpI65REpYC3SZNmkiBrqRKadKkCfb29oqNCRvdsGEDOTk5hYrcrSHMhRsTpnx8fJQiT3Uy8vTp05pikYoihbnWJT09nUOHDvHwww+zePFitm3bpoi4hV8SNiIE14DmcEP406SkJA4ePMiCBQt46qmnWLp0aSHBhRpxaOji4sJbb72lTLlX25awIVtbW86cOcPMmTPZunUr8fHxyu+U92BR2CfA0aNHefvtt/nkk0+U66inWxiNRpo3b84rr7xC/fr1y3UdScWojDDXmjGdWO/9/f2V5xefiejoaEAbaxQ3MVeIQOBGcnP06NF07tyZefPm0a5dOynQlRSiNIGuen1Vr6tz587lxRdfBKRI53bH1tZWERHk5OQotiD8jclk4uzZsyxevJjIyEirXlvY6b59+/j9998LTa81GAz4+voybty4QrGitVALdBs0aEB+fr4U5tYQ33//PW+88YYyqU6sZ2KNFOt5nTp1aN26NT169KBXr174+PhQt25dAGVCuHisn58fL7/8stI8o6yUVaCr3pu/9tpr/Pbbb5p7l9z8fPPNN5w5c0Z5n8U+B+C5557jvvvuU75flahjwOJsS223d955J3PmzMHPz4+xY8dKYe4txuLFiwkODlaKbi0LePbu3cuaNWsANBOUK4o6J7lgwQIOHTqkrIvqqRVvv/02/fr1w2AwEB8fz8WLF4mIiCA+Pp6kpCTNJFJ1vCGep7zUq1cPKPhcBgQEsGbNGhwcHKwmSpaUn+IK0mtyYq4lrVu35sknn8TDw0OTV1Lv4z/88EMuXbpUpucrSaALBfuwkSNHKoXAsuj95kMUNQKK+EcUsAcFBbF169ZyPV91CnSFH8/Pz2f+/PmcPHlSyRuoG9507dqVwYMHy1ihBhDvgcgJFtV0qKLruaurK0ajUbEvES+IAvGqRgp0bx0uX77M5MmTSUhI0OyNDQYDbm5uzJ49m48//pj58+fTs2dP3N3dcXV1pWnTpvTq1YuXXnqJTz75BH9/f6Wxi3iPhU+9cOECX3/9NVD2hgdlQdiRyB2Adg8XHBxMRkaGVUUaEutTmjC3tk7MVSPqVfR6PXPnzsXLy0vx7yLHlJ6ezjfffCNrP24SShLmVtfEXEvEeXpxE3TVa+9///0nBbq3OCUJcwHN+aHJZGLr1q1s2LABuFHLUxty3LGxsYqwNi4uTvlMlbZuCzvfunUr77//PitXrgQK6jvUa4iPjw9vv/22Zi8vqV5krCm51SlNoKs+B6+sQFfYd5cuXTAYDIXONa9fv87ff/+t3JdEUpJAV72fsoZAd8qUKbRv315zhiPs88svv1Rq7iUSiUQiqS5qR9ZQIikDeXl5HD9+HNAmRWxtbbn//vvp0aMHUDUFbCLBpN5A5OTkKEJge3v7QpsLsdER4hovLy9++eUXHB0dNc8puXkJCQlRbFFM4RGicbVI1/Lf4mtxGKxO4IgitFOnTmEymdixYwc6nQ4HBwfat2+Ph4cH/fr1o1GjRvj5+dGgQYNip0eIogu1Hfr4+PD9998za9Ysrl69qiShxAGNwWBg/fr1AMyfP5/GjRtXx59ScovRtGlTnJycCm2eY2NjiY2NpUWLFsphobWEucIfDx8+XCleElOsATIyMjRTfCuCFOZal+DgYLZv384vv/xCRkaGYg/CJ4rEibow2PIAT7y/lgcewcHBnDhxguPHjzNlyhTuvPNOpUhSvfaKaaRubm589tlnTJ8+nfDwcI1IVjy/ra0tMTExvPHGG/Tq1YuxY8fSt29fxYaLs82i/LHBYOCzzz5j//79hISEAIWFuQaDAS8vL7788kuaNWtmrT+7pARqizAXCuIHLy8vQDt15ODBg0ydOlVJmhcnzFVPzF2yZAnDhw/HbDZTp04dBg4ciF6vZ8WKFcpkC1EEajKZFIGuXq9n8uTJMma9zbAU6L799tucOHFCKRhW/45Op8PR0ZGGDRtqHi+5fbG3t2fYsGHY29vzzjvvkJiYqKxx6gKiP//8E7PZzFNPPWWVdU74w4MHD/Lmm2+Sm5urKYowGAzUq1ePl19+WSkmrqoicSHQhRvConvuuUcKc6uZVatW8f777wMo+3T1hFJ7e3s8PT2ZPHkyPXr0oEOHDkq356ysLOLi4ti8eTP//PMPkZGRGAwGmjdvzkMPPUSXLl0q5OfUflMIdAG2bdumCBws9+avvPIKAGPHjtWs+5Kbk/z8fE6dOgUULva69957ueeee6rs2pa2Y5mnskRdvCG+7tGjBx999JEiTq9NBcmSyjFq1CguXrzIqVOnlGIzNbGxsXz99dfodLpC+5Dyorabxx9/nN27dyu5AJFTBWjfvj2pqak8/vjjhIWFkZqaSlpaGnq9HmdnZ8xmM3Z2drRu3Rp3d3c6depE+/btadCgAX5+fkXeX2l7dn9/f7Zs2YLBYMDf318jzJW2XjOICSeWBenqvfmCBQtqVJgrCAwMZPHixTz22GOadV18plJSUjh06BDNmzcvUxyq/pxNnz4duJE7jYuLw2QyMWrUKCXWkfHBzYdYWwcMGEDv3r3Zv3+/8n3x/1OnTjF8+PByPa+IIW1tbVmxYgWPPPIIu3fvVqYtCz+rFugCjBs3Dg8PjzJdQ11M9+CDD3Ls2DGlcYO6CWe9evUYNWoU3bp1K9drkFQe4ROioqJ44YUXaNOmDQ0aNKBXr164urrSqFEjXFxcivQbwj+p30tLGjduTOPGjYmJidGcd545c4a0tDRcXFyqXJBtKdAF+Pvvv8nOztYIdI1GoyLQ1el0DBkyBDs7uyq9N0nZKEp0JtZ3Dw8P3nzzTXr06KEIEiybXwO4uLjQoUMHfvjhBx566CGCg4OVZq7qJlv//PMPhw4d4s4777Ta/Yt78Pf3x83NjczMTCVOgRvnkdnZ2XJSXi3mVhDmCsTr8Pf3p2vXrmzfvl2TYwI4fPgw//77L+PHj8fBwaEmb1dSAiWJHkWj6ppqUCR8qhDozp49m/z8fMWHi8+U0Wjkv//+Ux7Xp08fTW5JcnNTmo1aNnwTwyoWLlyI2WyuFTnuzMxM/v33X7Zt20Z6ejoXLlygX79+jBs3DmdnZ83rVJOcnExiYiJffvklR48eJTExESi6vqNevXqsWLECX1/f6n1xEgUZa0puFywFunCjgUBmZqbGl5nNZkWgazabeeWVV3B1dS23P7777ruZMGECv/zyi6ZGz2g08vfff/PHH38wcuTIKnmtkpsPIdAFWL58ubKXMhgMmq+XLFkCwMSJE3FzcyvXNUwmE/b29jzwwANEREQoQ19EXig3N5f9+/fTpk0b2WxYIpFIJNWGzizblEluEn755RcWLVqkFIcJkYKtrS1ff/01vXr1sur1LBOE0dHRhISEcPjwYa5du0ZERIQyca9evXq0bNmSIUOG0LJlS0VIYbnRUXeJk8nHW4OgoCBWr15NUFAQUDDpECgx0awuOivKNsT3RYKoKFFaw4YNadiwIS1atKBbt254eHjQtWtXHB0dCx2siA2GSJJfuXKlkEBX3L9I6o8fP14KdCXlxmQykZ2dzZw5czh+/LimGB5uFPu89dZbQIG9V1aYq+b48eNMmzZN+XyJz1pgYCA///xzhf2vFOZalz///JPvvvuO8PBw8vLyColhBcJ+oKDDnngvippWbpk0N5lMNGzYkF69ejFv3jyaN29eYpFucnIyDz74IKGhoZqpEsJuhJhXMHPmTDp37sywYcPKZFehoaEcPHiQP/74g7Nnzxb5OoXN1q9fn1WrVkmbqiZKEuZadqOuamGumitXrjBx4kSuX7+uCNu6devGmjVrFLssqzDX8n5zcnLYvXu3ItBVd88Uv9ewYUNmzZqlCIgktxfCxkJDQ4sU6Kpj0/r16zNjxgzmzJkDyAJxCeTm5vLPP/+UKNAFGDFiRKUFusKHnzlzhhkzZpCZmakR5ppMJhwcHBg7diyPPvqosl+vahITEwkNDaVv376A/FxUF//3f//H4sWLgaKLY9zc3Jg0aRKDBg2iU6dOyuPUAl7B6dOn2b17N+vXr2f06NE89NBDuLq6Vur+1PuRU6dOsXr16kICXXVBKNwQeY8dO1a5T2lHNyc7d+7k8ccfB9DkCs1mM++//z6jRo2q0utnZ2cTHh5OSEiIktcUflnkMgcNGoS7uzsuLi4l5jGlHd56nDx5knfffZfTp08Xasgi9qoNGzZkzpw5TJ06FSi/HagL2Z944gl27Nih6bBfEqLYU6/XK8Wdlg0R4UbhXPv27fHy8mLgwIF4eHgQGBioFFiq79vy/oOCgpgzZw6dOnXixx9/lMLcGubKlSuMHj2azMxMTdMs9fu+ePFiJk6cqPjSmvJLah/56aef8uWXXwIU+hx16tSJdevWlSsvqbbTH3/8kffee48RI0bIxi+3EJ988gkrVqxQcoMi92hra8uaNWsIDAws93OqfZdaoAsoDTPhhv00btyYSZMmlUmgqxbmzpgxgyNHjmiEucK3ms1m5s2bxzPPPAPI89DqRC3MnThxIikpKcrPxHvVqlUrGjduTNOmTenatSsuLi507NgRV1dX7O3ti31O9fs4depUjh07pjnfdHFxYcuWLTRo0KDaX296ejpvv/22ItAFCuXyO3fuzIQJE3jggQek36xhShJLeHl58fnnn5fZ94l8UHx8PA8//DBhYWGacx244YNef/11Jk+ebPXXEhMTw6hRo0hPTwdQ9vJ6vZ6vvvqKnj17Sh9YC6lOYa76rNoyZq0K2zhx4gTTp09X7lWdG23RogUffvgh/v7+MoashZQ0MRe0NTzVLcwt6j4PHDjA7NmzATRTU9W1Uv369WPGjBn06dMHkDHhzU5pNqquf1P7PPVZUE3muIX9/fPPP7z++uskJiYq+xdbW1t8fX0ZM2YM7du3p2nTpri4uJCfn09oaChxcXFs2rSJq1evcu3aNeVxlnUsRqMRb29vvv32W1nfUYPIWFNyOyJ8alZWFu+88w5//fUXmZmZys/VOXQnJyfuvfdeXnnlFerWrVtmfyx+7++//+a1115TBMDi+eFGnfHixYulXUo0JCcn8+OPP7J8+XKg6LN7uFGHVxGBLkBYWBjTpk0jLS1NM1zLZDLRtm1b1q9fj729vbRNiUQikVQLUpwruWl4//33WbVqlaZY0Ww2M3PmTKX7jzWw3HT88ccfHDlyhG3btpGdna0pmAQ0ySQbGxt69OjB4MGDlUIlya2JOljfs2cPq1evZu/evQCFbFRdzKi2F9B2MxdFkepNseVziANlSzsUNGvWDAcHB3r27EmLFi3o0KEDbdu2BW5ssNVcvnyZhx56iOjo6GI3PuPGjePRRx+VAl1Jufnyyy/59NNPAW0hhK2tLa+88oqSnPzmm2/46KOPgMoLc81mM6GhoUydOlUpwhD23LdvX77++mslUV4epDDXuvz88898/PHHShJZfXAh3q+i/Jul/1QjJu2omyNYHvz4+Pjw3nvv0blz5yKfQ/jilJQUnnrqKQ4fPqx5fnXIrPaTdnZ2dOzYkTZt2tC7d2/q1auHj48Pubm55OXlkZKSwpEjR4iOjmbHjh3k5+crr1E9GUjdTbZNmzYsW7aMFi1alPvvKyk/tVWYCzcSlffddx/JycnKYZ+dnR2//vorbdu2LZcwt6hEo6VAV7weW1tb8vLygBvTeXr37l2lr1NSeylNoKsWbHh5eTF79mweeughQBaKS6pHoCt8+Pnz55k6dSoZGRmaohC4YccBAQG89tprGjFmdSI/D9XDjh07WLRoESkpKUXGmJ6enrz77rt06dJF6Ype1Huj/p7BYODSpUu4urpardC8NIGu2A/VluIlSeUQ7/dXX33FsmXLlGneYr8yaNAgvvjiC83vVgZL+wgODubo0aNs3ryZa9euaUQalvj4+NCkSROeeeYZ2rVrpzR+kwfWtwdVKdAtSZgrntuyYSEUdP8XPxf3U1RzQ5EPEL8nfKifnx/u7u707NmTDh060KJFC3x9fQvlmXbu3Mny5cv56aefpDC3hjEYDHzxxRdKwY5lgzbxvj/++ONK04Pa0vn+5MmTvP7665w/f17JhapzVqIZQ3n8qvpztm/fPqW4XcYDNzfCBrKzs5k0aRLnz59XbFuIKB988EGee+65ConPSxLoqvORZRXoliTMVRemm81mJk6cqDTLkTFE9VGUYMLBwYG8vDzFD1k2AhbrbJMmTXB0dMTPz4+OHTvSsGFDevTogZ2dXZE28eqrr/Lrr78q77uwrW+++abaC8RLE+iq8/iPPfYYTzzxRLXcl6RoShNLrFq1Cj8/v3I9p7Dn//u//+PDDz8kLy9Pc95tNBrp3bs3K1aswM7Ozmq2aTabyc/PZ+LEiUrjSxG3wo3PybRp06xyLYn1KEmYK2o7KiPMLaqhQVkfU1nENdesWaM0ybZs/hEQEMCqVatwcXGpNfGzpPRppLVFmGt5v5YCXXGP6uYYUqB7a1Ae8bjwp7Uxx3327FmeeOIJZYCF2WxW6pfUcXK9evWU+7fMo1o2WFDXd7Rq1YrPP/9c1nfUIDLWlNzOqAW6n3zyCevWrVPqfQSVFegC5OXlMWvWLI4fP66Je0Wu6aeffqJLly5Wf32Sm5vExETWrl2r5PsBTR60MgJd9RmsmMIrfLFYA55++mkeeeQRK74iiUQikUiKR1YXSGo9JpOJrKws9u/fr3xPXXzTtm1bq3VHF8+Rk5PDv//+yz///MOWLVs0waC6AEiIyNRJ0QMHDnDgwAFCQ0N56KGH8PX1lQnGWxC1Hdx9993K9/fu3atJNqoPuhs1akRAQADNmjXj33//JSUlhbS0NABlkyGSgOK5xUEQFAi31N19AEWMYzabuXr1KkajkbCwMOX5GjRogLe3Nz179sTLy4vu3btTp04dfH19+fXXX5kwYQJRUVHK6xIHTAaDgV9//RVACnQlZUbYbp8+fdiwYQMxMTFAQdGP0Wjk559/pmnTpkRERFhNmAsozy8mqIjHArRo0ULx1eVBCnOti3pKsnqysTioE77Q3d2dxo0b06tXL1q3bo2HhwdNmjQhKyuL+Ph4kpOT2b9/P1evXiU4OFixHXWjAXXRpslkIjIykunTp7NkyRIGDx5c6N7EY93d3fnss89YvHgxhw4dIikpqVD3U2EXRqMRk8lEcHAwwcHBrF+/HrPZjJubG9nZ2RiNRuzs7MjJySkUSwhbVx/cuLq6EhAQwP/+9z98fHyq4y257SlJmAvUqDDXZDLh4eFBp06d+O+//5TCELWPq4wwF274sv79+wMoAl17e3slUf/ZZ59JYe5tjvBR7dq145VXXikk0FVPx0lMTGTVqlUAPPTQQ0VOJJPcXjg4ODBo0CCAQgJd9Z5jy5YtAOUW6BYnzLUsXKpXrx6PPvpojQlzAfk5qAbOnj3LmjVrSEtLK7RfNhgM1K9fn5UrV9KhQwfN44p6b9Tfs7W1tXqsr84ndOrUSZlQbzlBV/05eeWVVwAYO3as9K83GTqdjtzcXP777z+NSEvYZq9evQDrCMvUudGjR49y4MABVq5ciU6nIz8/XykmVotpxPeMRiNXrlzhypUrPPjgg8yaNYshQ4bQrl27Qo3jJLcmnTt35uWXXy4k0FXHe3FxcXz99dfAjal5ZfFHZRXmCtRfWwp31TlT9c/VjbrE/YrniYyMJCwsTGnA5erqSps2bWjSpAkDBgzA09MTX19fBg8eTP/+/TWNFCU1g62tLffffz85OTn89ttvXL9+XVPYK97nzz//nMzMTF588UVNAXBN0rlzZ+666y5CQ0M1ZwPCHs+dO8eoUaPK5U9FzszGxkYKc28hRLxqb2/PgAEDCA8PV3LboqHRjh07mDdvHnXr1i33Oqz2ZStWrNAIdIXvFnmmmJgYfv75Z4AiBbplEeYKOx89erQizJV2Wn2oJ+aqi9Hz8vI0Zy6WjS2Eb4qPj8dgMHDx4kW2bdsG3Fgv7ezs6NKlCz4+PrRt25ZOnTrRtGlT+vfvz6+//qqsvyJ3GhkZSc+ePas1dhT2XLduXWXPJAS66iYf999/vxTm1jBlFUuU13cIO7vzzjuxs7MjOztbsUFho8nJyZrftQY6nQ57e3uaNWvGuXPnlO+LmCUxMdFq15JYDxErvvTSS2zatEmzN1cLczt37lwuYa7wecJ24+PjiYyM5NixY1y8eJHc3FySk5Oxs7OjVatWeHh40LdvX5o1a4aXl5fyPJVZO4V99+vXj8OHD7N9+3ZNM3lbW1tCQkJ4/PHHNQMRajp+vt0pSZgLVTMxt6g1ujy2INbXXr16sWrVKmbPnk1+fr7i20V8aDQa+e+//5TH9enTR+aXbkJKs1H1Ofr06dPJzs5m06ZNmiaUtSHHnZ+fz7vvvsvVq1dxdHRU4mSxB1NPTU9LS9PEzuqaFnVtqrq+o0uXLrz66quyvqMGkbGm5HZH+LM6derQunVrcnNzNT9T51Szs7P5+++/Acol0DUajdjb2zNv3jxeeOEF5TxWLbBcs2YNfn5+uLi4VOnrldxceHl58dRTT3H+/Hl27dql+Zk6ThDi2vIIdIXv7dy5Mx4eHqSkpCj5dOGng4ODyc7OxsnJScaiEolEIqlyZIWBpNaj1+uxtbUlKysLKCi2Aahbt66SxKto0KQOuPLy8oiJieGtt94iNDSUpKQk5R7MZrOSmFd3o1IXAakT+OvXrychIYE5c+bQpUsXeQh9k1JSIrqsAl1BTk4O+fn5zJgxg2effZbY2FjCwsI4c+YM0dHRHDx4kJycnELd94RNqQseoKBYTV2AZmmHADExMcTExHDixAkA6tWrh16vp3379vTq1Ythw4bxww8/kJubq3lOKdCVlBW1HxX/9/f3p23btkRHRyuFHsJ/XrhwgTfffFMRhVtDmCsSRdHR0RohpdhwN2rUqNC9luU5pTDXeqxevVoR5qqLKoW/sre3x93dnXHjxtG/f38CAgKKfB4hqBBdVbdv305ISAhr165VYgWx5qoLIUVB0rPPPssbb7zBsGHDlElQAnFY6Obmxptvvsn69evZtm0bwcHBii2Kgxbhb9XFbOLrrKwsZeqq+tAGUGIJdTGU2WzGz8+PoUOHMn78eKtNZZOUTG2emAsFdtyiRQt2796t8W3//vsvH3zwAfv376+wMFegFuh+/fXXnDlzBoDPP/9cEbLLBOXtjRToSipDSQJd9Z6jvALd0ibmqvdDCxcuZMCAAYD0Z7ciwsfs3buX4OBgzZQSdfHFmjVr8PX1rTU2IAW6tx9igpeI/0W82bNnT4BKFcSqCyuysrJYunQp+/btIzIyEkBpECT2MEL0AwViCvG5sLW1JTMzk2+//Zbw8HCmT59Ot27dasXnRlL1FCXQFT61IgJddSH7448/zs6dOwsJc0FbzKkW56pFNUXlR9VNEYsS9RaVK83MzOTo0aMcPXqULVu2YDAYGDduHG+++aaSn5LC3JqnZcuWTJo0CZPJxMaNGzUCXdFYwGAwsGrVKnQ6HS+88EKNCwzE5+Chhx4iKChImWwiYhKj0ciWLVuYPHkyvr6+5Xpuy9ck1/9bA/E+Dh06lB9++IHs7GzFzm1tbbl8+TKrVq3iiSeeqNA6bA2BrhBalCbMNZlMjBw5kvfeew+QwtzqRq/Xc/HiRWbNmkVSUhL29vaaaU6WZ9pifQTtWqle00V+e+fOncpjXVxc8PLywtPTUyNIED4uPT1d+d2ibLaq7KIoge7OnTvJyMgAYOTIkcq5hLTNmqGqxBICs9lMq1atGDBgAH/88Uch8df169dJSUnB29vbaq9JxBzu7u5AQTMNce514sQJ8vLyrDpBTWIdtm3bxqZNmwBt/hBQhLnr1q1T/l3a3kDYbW5uLvHx8axdu5Z9+/YRHh6u/I56X3PkyBEAfvjhB5ydnZk2bRpdunShe/fuVvFPPj4+DB06lJCQEOLi4jRTTG1tbTl48CAvvvgi77//fo3Hz7c7pU0jVe+Tq0KYu3HjRv755x8+++yzctuCiAOKEujm5+drmlxLge7NS0VsNCQkRBF9qXPc6rOgmshx29nZ8fzzz/Pyyy8TERFRKNdl2QwOCj4v6hyTOmY2m820aNGCIUOGMG3aNFnfUYPIWFP609sdYY82NjZs2LCBRYsWAWj8lfr3KirQFXFC8+bNqVevHmlpaRo/D3D69GnS0tJwcXGR+2+Jxldu2rSJf//9V/NzdR1lZQS6cKOJwt13382mTZuU3Jew9927d/PXX38xZswY6TMlEolEUuXIKgPJTUFGRobSbUdgmQipKOI5T58+zc6dO9mwYQPXrl1TNgdiE6H+3aIShuLf6gSTEFI888wztG/fvlL3Kal+RLIjPz+fjRs3MmHChEK/Ux6BbkpKCnv37mXRokU8//zztG7dmiZNmiiCmOvXr5OTk8P+/fuJi4vjyJEjXL58mYyMDFJTUzWHQ+rEn+WUSCgorlQfqsONBGp6ejpGo5F9+/axb98+3NzclKmO6tdUlEB3/vz5NGnSxFp/YkktxdK/JScnYzabiY2NxWw2U79+ffR6vZJgtty4isKcBQsWEBoaytWrVzUF8kajURHmqgt4KirMhYJipr/++kszcdpoNFK/fn1FYFbeyRQA//vf/5TiJCnMrRi//vor77zzDlAwoRYKDr7d3NwYM2YMQ4YMoWvXrsrjijv4Fn5Vr9dzzz33cM8993D//ffz888/s3//fi5duqQUmonDFPFceXl5vPbaa2RnZzN27Fjs7e01zy38trOzM1OnTiUwMJB169axceNGxU4tJ/SqC5rEfaubHagPdCwbKAD079+fWbNm0alTJ+rUqWONP7mkFKpjYq46VrVsJKP+WXHPJ37m5+cHaGPSb7/9lszMTMVHVlSYKxACXaPRyBdffMHjjz8uhbkSDVKgK6kMpU3QVYsVoHSBbmnCXLUPf+uttxg5ciQg/dmtiPA9Fy9e5NtvvyU3N1eJ5US85enpyfLly/H19a11BYdSoHt7YDKZSElJUbrZi/ddPcGsMrYpbCA+Pp5du3axceNGTp48qfg7dQxp2VhLLWwUiHvJycnh33//JTc3F1tbWwIDAyv4F5DcbFhrgm5JwlwxlQRQpqjY2dnRvHlzmjZtqjyXyWQiKiqKjIwMsrOzycjIKJQfBa2dF4V6moV4HSI/0LFjR1599dVCTeckNY+vry9TpkwBKCTQVeetv/vuO4AaF+gKm3ZycqJNmzaEhoYq8YjIVWZmZirNGiQSQNlnz5kzh88++0zTSAPg1KlT5Obm4ujoWKH9TGUFunZ2dphMJmbOnKkR5qonrwphrhQ/1hxGo5GlS5diNptxcnJS/KT4GRQ0SBXroHrdtMxvq+NUYSc2NjZkZGSQkZHBpUuXAG0DTrjR9C80NBRfX1+aN29O586dsbW1pXHjxso0MjXCftTNXSuKpUBXp9OxceNG7rvvPmmbNUxViyWgIH7z8PAotL8RjVstz4Eqi7jXO+64g59//lm5B3H9jIyMSjWXl1Qdvr6+9OnTh4MHD2r2OgDOzs7Mnj0bKJswV8SdKSkpfPfdd+zbt4+zZ88q77s6X2lpD7m5uWRmZrJs2TLc3d2ZMGECc+fOxdHREahYHlM8Zvjw4Zw9e5ZvvvlG0/RVxBlbt27FycmJ//3vf7UqT3Y7UZ5ppFUhzN20aRMvv/wyQIXF2uKzIyfo3pqUZKM6na5YGw0ICGDmzJnodDpNjrs2TNAVU9FfeOEFTp48SWZmptIYybLmTt1gXZ17Uuek7r77bmbOnEnnzp3lhMgaRMaa0o/WJiztrDp8m+X6vnDhQqAgDrWsUYICH1fRCbq+vr489NBDLFq0SHMNsW58/vnnvPvuu3L/fZtjaZsvvfQSUFAzKtZZQNFcVFSgK+x23LhxHDp0iNjYWOUexHP+8ccf9OnTx6qNFCQSiUQiKQopzpXUeoxGI/n5+eTn5xdK0GVnZ5OSkkLDhg3LteFUbySMRiObN2/ms88+IykpiZycHCUIVHcMhoJki1rso07Yi6SROtG4Z88e6tWrx/vvv1+qCENSexCJZ4PBwJQpU0hISGD06NFFdh0rq0BXp9ORn5/PgQMH+PDDD3nxxRdp2bKlcgDt6uqKq6sro0ePBmDevHlkZmZy9epVzp49y7Vr19i7dy9paWlcuHABKBCoiY2EOMQW91VaF2zRzdpSmCtQb3x+/fVXdDod8+fPlxN0b1HU4kG4sTk+f/48//zzj9LxF1AKc+68807atWvHAw88gLOzM/b29hof16BBA+6//35Wr15NVlZWoc6S4priv4oKcwUHDhzg9OnTyvX1ej0GgwFfX1+cnZ0r9DcJCQlh69atwI3iuuzsbCnMLSd79uxhxYoVgLZg1tbWlvz8fDw9PXnnnXe44447lIMLYYvFHXxbrqMmk4k2bdrwzDPPMGrUKJYtW8b+/fsLFRCL4s38/HzeffddnJ2dFcGO5fOLRHpgYCCBgYH06NGDnTt38t9//ykHL3q9XmPL6oMaQHN99fQ28fi+ffty1113MXPmzMr+mSXlQPiX2NjYKpmYK35PnYROT09XuqcbDAbc3d2xs7PTFKQLO1E/DiAwMBAHBwflwBNuxMDCviorzBU4OjoycOBAunXrpiQk5eG4RI0U6EoqgxDo6nQ63n77bY1AV71/FgLdJ598ssiJYsUJc4WPVBdIvPHGG4wbNw6QRbi3KkLksmzZMtLS0hSbEvsAV1dXFi9eTEBAgLJmVjVqWyvLOloWga6lCEkKdG8u9Ho9Tk5OODg4AGhyiHq9Hjs7u3LbpmXMeOrUKd59910uXbpESkpKoQIQgfC1wpbEvai/r/bL+fn57Nu3jwYNGuDt7U2jRo0q9beQ3DxUVqBb2sRcsV8yGo34+fnRo0cPRo8ejY+PD/Xq1dPcS0ZGBrm5uVy9epWLFy+SlJTE/v37SU1N5fz580qBJ2hFaGqxkCV6vZ68vDz8/f1Zu3YtDg4OZSq+l1QNCQkJJCcn07Zt20I/u9kEunAj7p0wYQJ//vmnJidvY2NDVlYWR44coV27dnK/LQEKcuQBAQE4OzuTkZGhOX/cu3cvW7ZsYezYsRW2l9IEuiJ+Vgt0jUYjc+bMwdbWtkhhrrhHKcytHdjY2PDBBx9gb2/P2bNnyczM5OTJk1y5coWYmBjOnTuHwWBQJslaniuq12Xx3gosRb7qXLh4HpFPTU9PV85SAOrUqYOdnR3t27fHw8ODli1b4u/vT926dfH399fEwZbF5hUR7agFui+99BKBgYFMnDhRec3SNquf6hBLQMGUbyFqFL5N2JO9vb3yM2shbNPT0xMoaJotvh8dHU1UVBQtW7aU630to3379gwfPpzg4GCysrI09pKZmcnOnTvp1asXbm5uJdqmiDfj4+NZsGABp06dIicnByjYY4tzG/W0MigoPhe/l5iYyJdffklERATTpk0jMDBQaapQHvtR1yI9//zzXL58mR07dij1IupmDOvWraNRo0Y88sgjlflzSipAaaJHdX67qoS5QhxhZ2fHH3/8gdFo5KOPPqqQQNdkMhU7QVcKdG9OSpuYW5yNij1HSU0oazLHbTQa8fLy4vPPP+f//u//2L9/P/v27VNei729vaYGRDzGsr6jZ8+e3HnnncyfP7/K7lVSNmSsKWPN2oSws9jYWI4dO8Z9991X5b6tJPGjiEPVMYb6MRUV6IrHd+/enY4dO3L27FnldcINGz116hQhISHK2ay00ZpFrGV5eXlWbyRQHKUJc0Hb8E291lZEoCvstU2bNjRt2pTY2FjlWuJ6ISEhXLp0CW9vb5kjkkgkEkmVIqsNJLUeGxsbGjVqRIsWLTh79ixQ0OHeaDSSkpJSrsSdOrjavXs3//77L7/88ovyc/UmWmxGLJMt7dq1w93dHVdXV+zs7AgODiY1NZXr168XWWD8xx9/0LJlSx555BEZ2N0EqCfmTp8+nZCQEHx8fMjOzi52k1IegW5ubi4HDx7k/fffVwS6artQT9NzcXGhbdu2SnHSzJkzsbW1JSQkhNjYWIKDgwkJCSE5OZnLly9rhLiWRZaWwlt1F2z1a7D8Wr3xWb9+PWlpabz22mvUr1/fKn9vSe1A+Mb09HSCgoLYuHEjQUFBys+FoBtuTIE2m8388ccf/PHHH2zbto0ePXowbdo0GjZsqDymTp06jBgxggMHDnDy5MlCk0zUh5HDhw9XhLkiuVke8vPz2blzJ1evXgW0hwLTpk1TkpblpXnz5ixcuJBvv/2WsLAw3NzcWLt2rRTmlpFLly6xfv164uLigAJ/I3xs/fr1+frrr2nXrp3mceVNzgnbrFu3Lp07d+a7775j8eLF/PXXX6SmpmrWZMsJuq6urvTv379Q8kXcg/j+Aw88QN++fbl48SKrVq3i0qVLXL58WXMfan8r7kt0B4Yb/tTb2xs/Pz/Gjx9Ply5dlAnUMvlTfYiJuQ888ABpaWkaYa7adzz99NNlFuZaCiTS09M5duwYhw4dIjQ0VJmYk5ubS35+Pj4+PjRt2pSOHTsyaNAgmjVrhrOzc6FGLiaTCScnJxwdHcnNzdUUyInCN2sIcwVOTk44OTkp/5aJcoklUqArqQwODg4MHDgQoJBAV+yZihPoqifqFCXMBW3898YbbzBhwgRArrG3KmKtS05O5uLFiwCKLzIajdjb2zN+/Hi6d+8OVM2aVtR6W1Q8KSjOFssi0K3p4iVJ5bCxsSmUTxIN3E6fPk2zZs3KXPyofq9Pnz7Nvn37+PLLL8nNzVWeV/yeZbNBsS+pV68ederUwc3NDYPBQEpKCnFxcZoCNHVubPPmzXTv3p37779f2tptRFECXbEfKUmgqy7yKE6YCzfykj179mTRokU0bNiQOnXqaHKRNjY26HQ6nJ2dcXFxwdPTk06dOgEwY8YM7O3tCQkJ4erVqxw/fpyTJ0+SkJBATEyMRjAEBWJ4tXhYCnNrB5cuXWLq1Kk89dRTRYpz4eYT6JpMJry9vXF2dlaaYqqnN8fExAByvy3Rctddd3HPPfewYcMGJbcobHvHjh0MHjwYV1fXKhHoqs+uhEBXNGr977//OHHihBTm1nLMZjN16tQBUNbKXr16ATfW26SkJHJzczl27BhxcXGcPn2a8PBwcnJylLy95bmNEIWpp9lbnjFaisyEDYm9e05ODllZWRw8eFB5jPDLzZo1w9HRkYCAAFq3bo2Pjw+dOnVCr9fj7u6uPK8lpdmZiGPd3NykMLeGqS6xBKCcJ4rzQfU5lNFoxNvbu1BjTGvh6+uLi4sLOTk5mvP5tLQ0EhMTadWqlVWvJ6kcwgbGjh3L2bNnWbt2baHmQX/++Sft2rXj4YcfLtZu1MLc6dOnExUVpTkfEjaofl6xlqrvRfhW8dnYtm0bCQkJTJ06lcGDB2Nvb1+hRgXi/hYsWEBKSgpHjx5VfiYagDRr1gxXV9dqLdKXlD4xt7qFuWL93rp1K1lZWXz55Zfl3kMJmy9ugq467y8FurWf0oS5JU11VjcVqI05brHvqVOnDrNnz2batGn8+uuvHDt2jP/++4/c3FzFT6v9tcFgoGnTprRt25aRI0fStWtXpVZOxpk1h4w1ZaxZm1D7zkmTJuHo6Eh+fj4PPPBAlfm2sogfRYzh4OBA3759OXToEBkZGUpuRzxPeQS64potWrSgS5cunDlzRlO/ZDabuXjxIgcOHCAgIECu8TWMyM9ERESwYMECFi1aROfOnav0mqXFnlAgIBfxgLo2vaICXbPZjKurK48++iiPPPIIubm5yn3Y2tqSmZnJp59+ysqVK+XEe4lEIpFUKbLiQHJTkJeXR926dQFt0aLRaGTVqlV06NBBOawrDvEYUST0wQcfEBQUpAhrxOZEbBTUIjKxeb/nnnvo27cvPXr00ARpMTExXL16lTfeeIOwsDBNIZx66mjfvn3x9/evij+RxEqoO9/NmDGD4OBg7O3tyczMJDExscRAv7ICXcuppZaJb7PZjIODAzqdjsDAQLp06aKIcNLT0zl9+jRJSUkEBQWRmJjIhQsXSExMVDY24jlEcZso8lAnFsXrsHxNJpMJBwcHcnNziYiIKPXzJrm5UB8ifvTRRxw7doyYmBjFZ1oWNYpEjbCfU6dOcerUKc6dO8eHH36Ih4eH8rt+fn48/fTTzJs3j7y8PE3CXm3v7du3JzExES8vL+zs7MqduFy9ejVr164FtIcCo0aNUgpRKpIMrVu3LoMHDyY3N5d169bx7rvvSmFuGRCJuiNHjrB3716liFe9Lnp5ebFmzRp8fX2tmowU9vz666/TsmVLfvvtN0JDQzWHfyKZk5uby9NPP82aNWvw9/cvVmAhvu/l5UX9+vUJCAggKyuLTZs2ERsby+7du8nKyiI7O1t5rUIU4uTkRL169bjzzjtp1KgRY8eOxcXFRRNHqJOfkuphz549pKWlAdoDNhH7PfPMM8ybN0/5eVmFuZGRkZw9e5YvvviC2NhYsrOzld8Txd4Gg4GIiAjCwsLYtWsXK1euZMCAAfTr1085fBTPq9fradSoEYGBgfz333+agjj1gb01hLkSSVmRAl1JZaiMQLckYa46/pPC3NsDsdb99ttvXLx4UVMEaTQa8fT0ZMiQIaUe1pUXtU3pdDqSkpJISUnh0KFDpKSkcPXqVaXAqE2bNrRs2ZJ27drRoEGDEm2xLAJdMR1SCnRvLsxmM05OTrRq1YqLFy8qOScRd+7evZvhw4djY2NTYhwn3l/xHq9Zs4Y///xTEU2qiy7U+wthNzY2Ntx1113ccccdDB06lIYNGyqFRTExMezatYvvv/+euLg48vPzNfu37OxsPvroI3r06IG3t3dV/8kktYiKTNAtTpirFkoajUbuuusuvvjiC00huLpYwvJ7aoTt+vv7ExAQwNChQ4EbE1hPnjxJXFwcu3bt4vr165w5cwaTyaQpsJTC3NrB5cuXmT59OklJSZqmbkWtZSUJdNVrY20Q6Or1enx8fOjQoQOHDh1Svi/8f2JiIiDjVEkBwk7HjBnDwYMHiY2NVb4PcOjQIaKioio9caQ8E3SvXr3K8uXLyc3NlcLcm4CibEJ93iiaQ/r4+Cg/NxgMXL9+nZCQEK5fv66cCSUkJBAREYHZbCYvLw9AU9grYgH12aK6EFc9addyIo9asHblyhUMBgPnzp1T7qlevXo4ODjQuXNn6tevT6tWrejQoQNOTk60bt1asVU1agGcuJ6l35e2Wf1Up1hCvO95eXnKuaZA2GO/fv1wcHCo1HWKo0mTJnh7eytNw6DA34r4Rubraw+iPsLGxoaXXnqJy5cvs3fvXuXn4r379NNPadmyJQMHDiyy8ZqNjQ0JCQk8/PDDREVFKftx9fQnKGh2AAXNfAXqcyB1TvTYsWPk5ORgMpkYOnRohfYqwg82adKE2bNnk5aWRlhYmHJvvr6+TJ48mfvvv18Kc6uRyogerS3MFYII0RAmPz+foKAgoqOjNfFCWSlNoCsn6N4cCFuLiopi6tSpGhsV/qw0Gy1rE8qaynGL59Xr9Tg4ODB16lSmTp1KXFwc0dHRnD17luzsbFJTU6lbty4NGjSgWbNm+Pv7Y2Njo4knZH1HzSFjTRlr1iYsfWdKSgo2Njb88MMPmEymKvFtJa3vwk+LM3RHR0d+++03WrVqxSuvvMJff/1FVlaWUr9ckQm64vtz5szhwIEDyhmteq349ttv6dOnDx07drTKa5aUH7Vtzpo1i2vXrvHCCy+wZMmSKntfShLmWk5zdnR05PPPPyc0NJSPPvpIc86pbuRRVoGuuG7Lli3x9/fn2LFjmvNYnU5HVFQUJ0+epE+fPjKXKZFIJJIqQ1YdSGo9ZrMZe3t77rvvPo4dOwagdEUHCA8PVwrZHBwcNEGeCKLE92JiYti/fz+//PILp06dKjRBAgo66Yvnb968OQEBATzzzDN4e3trDvVEorxx48Y0btyYNWvW8PzzzxMUFKQJFgFiY2MJDQ0tVvwjqR2oJ+YGBwcrgX5ycjIRERGldh2zlkC3uOe2/Fo8Z926dRUB4ogRI9DpdFy5coWkpCTCwsI4cuQI8fHxHD9+XEkcQcGhufrQSAjU1Qfmer2e3NxcOnfuzOrVq5WCDLlJufkR73t0dDRPP/00p0+fBtAkYdTNDSw7nonv29ra0qJFiyK7S/Xq1YsPP/yQp556SrOZVtvZkiVLiI2NZfTo0XTq1ElzQGqJ2vZyc3P58ccf+eijjwBtF7imTZsyaNAgZXNeUb/r4uLCiBEjGD58uNIoQlIyer2e6OhoPv74Y7KzsxXfJ9bbevXq8cknn+Dr62v1QklxLb1ez/Tp03F1dWXdunUcP35cc8Atkjk5OTksXLiQzz//nGbNmhX5nMJ2xP+dnZ1xdnZmzpw5ADz66KPk5uYSGxvL9evXlUN2Dw8P6tevj5OTE15eXsrzqScMqJ9XUn307duX4cOHs3XrViURJ96HevXqKYfPpR2sqf3Rf//9x+rVqzl16hTp6elK0YR6og9oYwVx6L1jxw62b9/OsWPHmDJlCu3atdOszZ07d+bYsWNkZGRgMpmwt7dX1nIpzJVUFUXtqwRSoCupDKUJdMUeTAh0H3vsMVq2bMmFCxcKCXPV0yVACnNvJ4SPunDhgkbsJdbb8ePHExgYaLXrWQoj9+zZw/nz5/nll1/Izs5WhDZF0aFDB7p27cqjjz6Km5tbsbFvWQW6ltMFdDodY8aMqbLu7JLKIfxUYGAg27dv1wgaALZu3Ur37t0ZP368InJQF+mqv5ednc3x48fZtGkTmzdvVq4h9jhqAYTYU3t6euLj48NTTz2Fv7+/Zk8rJuQ0btyYqVOn4ufnxw8//EBQUBB5eXnodDplD5+QkMDvv//O3LlzpX+9zSirQPerr75SppY/+eSTJQpz+/Xrx8qVK4GKrdeWe3Tx/PXr12fw4MEATJgwAb1eT3BwMAkJCezbt4/z58+j1+tZvXq1FObWMOpCSoCzZ88CJQuobhaBrvDFYoql+vsAycnJmn9LJMI+27ZtS5MmTYiJiVH2R6JJxooVK/jwww8L2VV5KesEXZ1Op+y3RHwthbk3F+rmRQLhn4QNeHh40K9fPwDuv/9+ADIyMoiNjSUzM1M5VwwNDSUiIoL8/HzS09M1/ksd1xZ1D+pzJHVuVORj1X76+vXrmEwmtm/frjyHg4MDNjY2+Pn5UadOHTp06ECbNm1o1KiRMoXH0dFR85olNUt1iiWg4H3fs2ePMh1UnFsKG2vRogVg/dy5yEGIM0gRGwvR+NGjRxk1apTVriexDqIWws7OjpkzZxITE0NERASA0qjCYDDwyy+/0KJFC8V+BHq9nrS0NF599VXCwsI05zjCv9rb2zNw4EBatGihnPWYzWZOnz7N1atXlTyPmBZlNBo14sUzZ87w888/06BBA7p3715hu7WxsaFnz56MHTuWNWvWEB0drQhzx44dK8+8q5HSJuZWpzDX8rpCHPHjjz/i4+NTYV9ZkkA3Pz+/SIGuTqejd+/ecg2vJQgBz8SJE0lJSamweLysAt2amqArUOddGzZsSMOGDenWrVuxv1/S0AtJ9SFjTRlr1ibU4sfJkyeTlJSkDL4JDQ3lxx9/BKzr20qbmKuuQRLru6h1XrhwIXq9ni1btpCVlVWooVZZBbri3y4uLrRr105pSqtuvpCXl8fx48elOLeGKMo2nZycuHz5Mk899RTLli2z+ntTXmHujz/+SEBAAG3btiUjI4MVK1ZoaorV+f6lS5cCZZug6+3tzbBhwzh27JgyXEXkphISEti8eTN9+vSRuUyJRCKRVBmy8kBS6xFBW/PmzZVCM3FIDBAXF8ePP/6Ig4MDd911F3Xr1lWCMxFEXbt2jXPnzrF06VLi4+NJTU1VEu+AcuCsLuqFGxMXx4wZQ+fOnXF0dCyUbLEU6rq5ufHRRx8xY8YMzp8/r9ynCBTXrl3LvffeKxPdtZxt27Ypwlz1hLrMzMwyPb4qBbqWFFVYJB7ftGlTfHx8CAwMZPz48cCNiX7Xr18nKCiIq1evcv78eaKiojAYDJrJLeLzIOw3Ly8Pf39/Wbx2iyHs8cqVK8oBpNiUCrtXF1oI+wAK2UfXrl155plnsLe319iw+Pree+/lzTff5LXXXtNsptU+8v/+7/+4cOECQ4cOZdq0aYWKOC0L4o8dO8a2bduUhJY43BTcd9993HPPPZr7qChFiY4lxZOXl8cPP/xAamqqRjBtNBpxcnJi/vz5iliiKgok1YnNUaNG4ezsjJ2dHYcOHdLYk0hOXr58me+++46nnnqqQpPBhfC2SZMmRf5cLWovqWBJUn00bdqUe++9l+DgYGJjYzWNWVJSUvjjjz8ICAjAx8en1I6QcCO5+Pbbb5ORkaHEquL5LKdIqCdLiGSgKErbsGEDUVFRPPDAA9x3331Kl9VHH32UrKws1q9fT2ZmphTmSqoc4StTU1MVHyoFuhJ1sYJ6PauI4KE8E3QdHBwYMmQICxYsUIS5Yt8uhbm3L6Ih1cGDBzWNNvR6PU5OTkrzKmvYgniOvLw8goOD2bp1K+vXr1cK221sbDQFGepC8/z8fM6dO8fZs2cJDg5mypQp9O/fHw8PjyLX7ooIdBcuXIjBYGDChAkyFqiFiPeza9eueHt7k5CQoHwfbsSD69evx9nZmeHDhxdaawFycnK4du0aS5YsITQ0lKioKKBgXy727mqRLkBgYCBTpkyhR48eNGzYUJMH1ev1yoQc8e8ePXpgY2NDXFwcZ86c0RTLmc1mjhw5wty5c6V/vQ0pi0A3Pj6eL774gjVr1ih5cShZmGut/KJlHCKK7XU6nVJYOWzYMM01ZW6z5lBP4bG3t8dgMJCSkkJubm6pk0ZuBoGuWKM9PT0BlHyDyAMI31vdE30ltRuz2UzdunV5+umnmTdvHhkZGRoxY0REBHFxcbRs2bLS8W1ZJuiKexKI81QpzL25EbFlUeufeC9dXFzw8/MDUPL3RqORzMxMUlNTOX78OKmpqWzatInQ0FBNjkDYj4gR7OzsCtmTer8DKPt5daMZdc4oLy8Ps9lMSEgIJpOJAwcOKPfcqFEjnJ2d6dy5MzY2Njz55JOaBpmS6qe6xRKCK1eusG7dOqCgKF34rD59+tC3b1/A+iIavV6vNGI6fvy4Zjo03DhnqIrrSiqPeE+6dOnCgAEDiImJUfwN3PCJhw8fZt++fbRo0UJjswaDgU2bNhEcHAwU7HcMBgPOzs6MGTOGAQMG0Lt370LX7d+/P3Cjody///7L77//TkJCQpEC3aNHj/Ldd9/RqFGjEs+pSsPZ2ZkHHniApKQkjh49yuDBg6Uwt5opaWKuZY1adU3MhaLFEZX1z6LOpCwTdPfs2aPUSw0YMKDC15RYD4PBwMcff6xMfSzqDKasNlpWgW5NTdAV9wjaSebqMy+R6xfIfU/NI2NNGWvWNvR6PVevXmX8+PGkpaVhZ2dHXl6e8l5ZW6BbXvHj6tWrlfXdZDLh7OzMyy+/DFBpgS7ciDNnzpzJ33//rdQ9iVggOzubK1euVOh1SiqPXq/n0qVLTJkyheTkZOzs7MjJycHW1pbo6GiefPJJli1bhr+/v1WuV9o056JE4wEBAZjNZurXr8+MGTPQ6XQsX768WIFuWSboivu47777+Pvvvzly5IgizBXrxqZNmxg3blyJDTkkEolEIqkMsvpActPQvXt3ZsyYwQ8//KAkQgRnz55l2bJlBAUFMX36dNzd3XFzc+Pq1ats376dgwcPKhPzxMGe2CiLwFDdzbJbt24MHTqUSZMmKdcobXKaSB65ubnx+uuvM3/+fNLS0jTFmikpKWRnZ8tkdy2nUaNGyuG0ugAhJCSE0aNHl6mYpzoFupYIOxWPV2+SRce2zp07Aze6YCclJRETE8Phw4dJSkriwIEDpKenk5qaCtwQ2XXo0IG1a9dKYe4thDj8iI2NZe7cuZqO/MIf2tnZ4ejoyN13342zszMNGjQgOjqasLAwIiIiyM7OJi8vD19fX5YsWYKzs3Ohz4fajsePH4/BYGDx4sWazbRagHHs2DGOHj3KgQMH6NmzJ/3798fV1VXZWEdHR3Pt2jV+/fVXTpw4QWRkJFAgzBX/TZgwgaefflp5rTJZXj0I35WZmcmJEyeAAlG3sKt27drRu3fvKvcj6slhgwcPxmg0kpubS3BwsBJHCB+fm5tLUFAQAwYMoF+/flYv2rSc6iOpWdRNA86cOcNXX32l+ES4YbO7d++mQ4cOPPnkk0VOoVPHhb/++iuvvvoqgHJQJ/yOiDfVYl0RI1ge3qiLLpKSkkhKSmLGjBnK9Ifnn38evV7P999/D0hhrqTqUDfvePjhh+nSpQtvvPEG9vb2Ra7z5RXoms1mHn74YSnQvQkpavIOlNwwqCTKKtDdsGEDf/zxhxKfFtWtXQpzb09EAy31Oms0GnF3dycgIACoeNGM2ob1ej3x8fG8//77nDlzhsuXLyvfVxegq5sbqXNO4r/Tp0/z+eefc/HiRWbMmIG3t3eFBbqiaFMctH/66ad07dqV1q1bV+j1SqoO8f4GBgbSvn174uPjFYGLeK9PnTrFkiVLOH/+PFOnTqVOnTq4uLiQnJzMoUOH2LlzJwcOHFCmLUKB3atFFsIn+vn50adPH5599llFBKa+l6I6nYv7ueOOO5gxYwYvvviiZsqvXq/n6NGjnDlzRnY7v00p6wTduLg4xcYs91lVIcwtiqJiEBFbiGaMMrdZMyQkJDB8+HAlrsvPz8dsNhMaGkpkZCTt2rUr9Tlqu0BX2H9MTAyAJh4QhUDi+zJmrZ0UNcW+qhHX8PHxoUuXLgQFBWnW+sjISH7++WdlykllKcsEXUBp/iGFubc+Rb2X6njV1dUVV1dXmjVrBkD79u2ZO3cuubm5yu8bjUZcXFxo06YNp06dwmAwFJoSLs4I1IXl6v2PsDWz2VwolyoETCK3n5CQQGxsLOHh4fTr108Kc2uYoqZBCl/j5eXFN998UyViifz8fPbt28epU6eAgvMos9mMl5eXEjNURRwgfHe9evWUa6jXjJCQENLS0nBxcZFNOWohZrMZFxcXZs6cyYEDBzh79qzmnDwrK4svv/ySXr160apVK0VgeP36dXbs2EFaWhpQIHZ0dXXlnXfeoWfPnkrDZ3UcqP66a9eutGvXjqFDh/Lcc89x+fJlTfMt4et2795N06ZNefXVV4s8pyrr63Rzc+Phhx/m7rvvpn379rIhdTWinlomGhSp89tQ0Khi4cKFSg6wqoS5RU3UUwt3rDVlsrgJumJYgFgndu/eTY8ePaQ4t5Zga2vL448/TlZWltIQUy34Kq94/GYQ6Frer0Cu27UPGWvKWLO2kp6eruxt1fZhbYFueRtvrF69mk6dOmmGoJhMJurUqaMIdLdu3UpmZmaxAl2z2cwrr7yCq6trkfdsNptp3749I0eOZNOmTZqzy9GjR7Nw4cIK/lUllSU3N5clS5aQnJysnIeIPIutrS1Xr15VJuhWVqBb0Ym5at2Gh4cH06dPBygk0FU3qy5NoCuez9XVFX9/f44cOaI5nzKbzYwcOVIKcyUSiURSpcgKBEm1ohYqWHbHLQm1yHH//v2EhYUVmtZz+fJlLl++zObNm3FycsLBwYHc3FzS09OV51GLIKCg+MxsNmMwGKhTpw7PPfccPXr0UDoDi3suy32KYK5JkyY0bNhQEecK4uLiCA4OViY5SmonPj4+1KtXj8TERKBg83z16lWg7Im4mhToqilp2p+zszMuLi74+voqk4VSUlIwGo0cOXKEyMhIrly5wv/+9z8pzL3F0Ov1JCcns2jRIiIjIwsJc+vVq8fcuXO54447FDG3ml27drFv3z5+//13FixYQP369cuUcJw8eTKOjo68/PLLmslPlkVP//zzD//88w+ffPIJTk5OeHt7k52drUwZSk9P1xQhqwviR4wYwRtvvAFUTRJUUjzqhMvp06c1CTxxuDh27Fhlja2O+1ELMUWH/0uXLmkSPTqdjqtXr7J69Wr69eunKZaX3HqoxbPPPvssERER7Ny5U7EJkdj78ssvad26NcOHDy9SNAM3EtaLFi0C0CQ1RWLTxsYGOzs7vL29yc3NxdbWlpSUFHJycjQdh9V+0GQyERkZyS+//IKtrS3Tpk1TRBXPPvssubm5dOvWjSFDhgBSmHszU9R7V9Pvp1qYO3nyZBITE0lLS1NiVGsIdIXAXAp0ay+WdpiQkEBWVhZ///03KSkpREdHk5SUpIjH6tatyx133EHDhg3p2bNnoX1/SZRVoCueUxziSGGuBCA2NpasrCxsbW0VfwMFa31l9q/CdsPCwjhw4ADff/+9IrKBgvVbLcZV56jE9wDN4XdMTAwbN27EYDAwZ86cYgvISyteEp+T/Px8WrZsyZgxY2jQoEGFXquk6hH+7JlnniE8PJzo6GjFT4q18OrVq6xcuZItW7ZgY2ODi4sLmZmZXLp0SXke8b6L5xSiWVHIBjBz5kwGDhzInXfeCZTdL6pt7v7772fjxo0cPHhQeQ6A7Oxs4uPjpTj3NqYkga7wf2I/VFPC3OJQx68yVqg5zGYzDg4O2NjYKNPJxHuTnZ1d5ucpSaCrLtipCYGusC8h2BDxgLi/Nm3aALKBW23lypUr7Nixg06dOtGtW7ciG6BWJQ0aNODee+8lKChIETCK2Hbv3r1cuHBBsaHKUpYJulKYe3ujPn8RCJ9Wt27dIqeJ9evXj4ULF5KUlER0dDSHDx8mISGBEydOkJWVRUZGBlBw7qq+VlHNDcU1xXXUZ/wiRn3ggQd49913C/2upPq4fPlykaIzg8GAq6srGzZsoEGDBoo4yxoIP3T27FlWrlxJWlqastaKc87mzZvTvn17gCo98xFNstRNFXQ6HfHx8eTk5BQ71UdSs4j1tUGDBrz33ntMnTqV9PR0Zd9ta2tLcnIyL7/8MitXrsTd3R2AdevWcfToUaCgyNzNzY2VK1cqE8cF6rXSct2sU6cO/v7+/Pzzz8yfP5/g4OAiBbpr1qzB39+f0aNHV8h+hT91c3Oje/fu5X68pHLo9Xqio6M1E/WEj1T7pFGjRim5v8r4yvJOLbMU7liLkiboij0bwIgRI3jwwQetdl1J5TCbzfj5+fHSSy8p53xin17Rqc5lEehaNtqqSYGupHYiY00Za9ZWRH3E999/z9NPP82VK1c0tejWEuhaa30vr0B3+/btAMUKdHU6HXZ2dvTo0YMNGzYoe/SRI0fy3nvvATJ/VFPY2toyduxYMjMz2bdvH1DgQ6wp0C1NNF6epjDFCXRFc5eyCnTFZ2/OnDls376dq1evKrY/atQo3n//fUDapkQikUiqDqmwklQbIqCJiYlh3759DBs2DBcXlzJtTsXP+/Tpw5AhQ4iKiiIvLw8oOAhUH9ylp6eTnp6uFFqoEzpFFUs2atSIjh078sQTT9C2bVvNzyoShHl7e9O7d2/Onz+vmeQIBUUZktqLXq/HwcEBQDPlJi4uTunIXNaESm0R6Bb1GsX9WeLm5oZer2fYsGFAwUZKCnNvLfLz89mwYQMhISFAQbGwwWDA09OTzz//nMDAQE1xJRRMPRkwYAADBgxg8uTJeHt7A2UXrj/wwAO4urryyiuvkJaWpvhadYJKFOdlZmaSmZlJSkqKUvwuCoTghi2rD7HGjBnDO++8o3lNkupD+Ivz588DaCaJAdx5553cf//9mt+tatR+eMyYMcTHx7Ny5UpNHCH8/L59+/jqq6+YO3euLOK5xVEXGc6bN4+YmBjOnj0LoEnsrVmzhhYtWigHK2qOHj3K0qVLFb+oLhjz8vKiSZMmTJ8+nYYNG9KiRQvF1sLCwrhw4QJbtmwhMjKS69evaxrIiMRgdHQ0v//+O97e3tx7773KGiwS5eJa0lZvHoo6sADtfsby/azOpLBamDtlyhRFJJmamsrvv/+OTqfjhRde0EzgE1RWoCvX7NqFsMODBw8SEhLC6tWrycvLK7SXVRfLrl+/HoAePXrQtGlTHnvsMdzc3Mo0iaE0gS4UFN2Kfb+I/xYvXiyFubcxderU0TTHgBtrvJOTU5G+qjQsbejvv//m66+/JjIykszMTI0wsiibFP5MYDkdVfx+cnIyf/31F40bN2bixIk4OjoWeT/FFS/9/fffilDd19eXCRMmMHbsWOrWrVvu1yypHsQa5+Pjw/jx4/nuu+9IS0vTNDIQ62RsbKxiR+Jxlj4RtLbn7OxMy5Yteeihhxg6dKjyO+X1i8L/6/V6GjVqpPmZiI8jIyMBGYfezhQn0BWom2AJQVf//v1ZsWIFUDPCXEntwcnJCTc3N2JiYjT+KTc3l0OHDtGlS5cy+5faLND9999/OXPmjOZ1iPi1adOmgBTn1kaioqIYNWoU2dnZuLm5MWnSJAYNGkSnTp2qZZ8hbH/06NHs3LmT3bt3a84XIyIiCAkJoU2bNlZbh0sS6Io4WwpzJWqE3bVs2ZJmzZop5wBC5Hbo0CF0Oh1t2rShTZs2yl4/NTWV3Nxczp07R2RkJHFxcRw7doycnBwiIiKUM3woKBgVDY7E+YL4LFjaphDmStusGeLj45k2bRqJiYlK43Q1BoOB06dPM3DgQEWUVdn3SazlsbGxvPDCC8TGxmqa+BoMBpycnHj11Vfx9vZWfr80v1meZnNqfH19cXFxISMjQ8kDmM1m7rnnHuX8VFI7EfvwNm3a8Oyzz/LBBx+QnZ2t+B69Xk9YWBirV69mzpw5mEwmpbhdFJk7OzvzwQcfEBgYWG7bMRgMuLu7s3LlSh5++GFCQkIUW1bb49atW7nrrrvw8PCosEBXUnPExcWRmZmJTqcr1JxCcOXKFf766y+GDRtWYV9Z0tQyscaqxRHqqWVVsX6K2MBSoGtvb09eXp6ML2shIt5q1aoVr776Kq+//jpHjhzhxRdfrJAw1/J5SxPoqvfxUqArEchYU8aatRnh3zp27MiSJUt49tlnrS7QLUn8KOKK8jTesLZAF2D06NH8888/7NixQ67vtQQbGxv69u2rNN4/ePCgpk7dGgJda9smlCzQVX9dkkBXxKCurq7cc889rF69GqPRyMiRI6UwVyKRSCTVgqyCkFQLIqC5fPkyY8aMURJuo0aNKrNAVzzHk08+SXx8PL/99pvyM7FxEKIGdfGPSHKKzYO6kBduCIVmzpxJ586d8fT01ARfFUlUi0BWiDst7zE+Pl7zeiS1j/r16+Pn50dMTIzmwDc8PJyYmBh8fHzK9Xy1VaBbHOrpperrysK5WwPhe7Kzs9m5cyepqaka3+ju7s6nn35Kly5dNI8TtiCK14R9tGrVqkL3MWjQINzc3Pjmm284ceIEaWlpmg26mDopri2K38VrEPeiLmy77777ePrppwFZ7FlT6HQ6YmNj2bVrF0Ch5F2LFi00zQ+q876E7c+fP59Lly7x+++/a+xZcPToUaZNm0adOnWq7f4kNYN4//38/Bg2bBhXr14lLS1Nc0B+7tw5/v33X1q0aKERzly/fp2//vqLuLg4oMDGTCYT3bp1Y8KECfTp0wdPT89C1/X09KRnz54MGDCAkJAQli5dWmyS/vz58/zf//0fzZo1IyAgoMiJpZLaj3piIsCxY8e4evUqx48fJzo6WvGTDg4OdOjQgQ4dOtC+fXsaNGhQY8LchIQE7OzslM9CdnY2v/76K5mZmbz99ttF3ld5BbqrV69Gp9Px0EMPSWFuLSI3N5eoqCi++eYbdu/erQhybW1tCzUiUMeHInY7fPgwhw8f5uDBg/j4+PDyyy/Trl27Uq9bkkDXchqfWpg7ceJEQO6vb1ccHBw0+R1hJwkJCVy8eJFWrVqVeT+tXmOPHj3KP//8w6pVq5Sfi8JMS9sXB4JwQ3Dk5eWFnZ0daWlp5ObmKrGFugmRTqfj2rVr/Pbbb9x11120bNmyWKFQUcVLOp2OzZs306hRI6ZMmcKYMWOkMPcmoU6dOgwfPpyoqCj+/vtvMjIyFLsQuUvLva8o+IHCDQoMBgONGzdm9uzZ9OrVS+miL6iIXxR7abHXV9s+oMS/Upx7e1OSQFe9vxZTV4QwNy8vr0LNEyS3BiaTibp169KrVy9+++03peGe8HtiQn15CxSLE+iqC3aqS6CrbsolXot6P1i/fn0CAgKsfl1J5bl8+TJTpkwhOzsbe3t70tLSWLlyJdu2baNjx448+eSTeHl5lan5UEVRx5gBAQGKSFZdpP7VV1/Rs2dPmjRpYrXrFifQFQJIWVhZO7CMvWrDeyHWdHFfdnZ2pKenc/nyZTw8PBSxhU6nw9XVFb1ej7e3N/379wcgKysLvV5PaGgoiYmJnD9/npCQEBITEzl37pwmDgYUYa6c5ly7yM/Pp379+qSnp5OTk6OZ6AU33ucXXniBxYsXM2LEiAoJEtQIf5WSksJDDz3E5cuXNfkjuOHXnn/+efLz8/n99985fvw4WVlZSvNfGxsbPD098fX1xdHRkfbt2+Ph4aEU9Yp7K6td2dvb4+joSEZGhrTPmxDx3vTt25ejR4+ybds2zf48Ozub3bt3M2TIEIxGozI112QyYWtry7Rp05SJtOW1a2G7YvLupEmTiIqKKnRevn//fiIjI4s8b5LUfrp168a3337L888/T0JCgsYPirzf8ePHyc/Px2w2M3z4cKtO1BMN/sSk5+oQ5grE6xAC3QcffJC8vDzN1HvpI2sWyzVZ2GTLli1ZtGgRERER3HvvvUDl3quyCHTV0/ykQFcikLGmjDVrO8K/BQQEsHTpUp555hmrCXTLMjFXvb6XRfwIpQt01XXDpQl01bWj7u7uvPHGG4C0y9qAjY0NPXr0UP6tFuhWdoJuabYJVMg2wToCXZGLHzRoEKtWrWLo0KHSZ0okEomk2pCqFUmVIwKaqKgopk6dqkxBXLNmDSaTiQceeKBMAl31RKW3334bW1tbtm3bRlpampL8VnfPBa0oSCTQRQDYs2dPevbsySOPPFLoOpWhtMdbHlZKaifOzs4aO7K1tUWn05GTk1Oh57vZBLrintX/l9waCB/19ddfExwcrPhH0d3vueee44477ij1eSpjF8Keu3Xrhre3NwcPHuSHH34gPDxc+bm6yMLympZF8Pfffz+DBw9WDgZEAkFSM6SlpZGXl6dJuogJZmPHjgVqppBbHUe8+eabREVFceLECU1DDrPZzJ49e9i/fz+DBw+u1vuT1ByOjo6MGTOG/fv3c+DAAU2hbnZ2Nj/++CN9+vQhMDBQKSa/dOkSW7ZsIT8/XzOtYcCAAbz++uuKqLIoWxff8/HxwcfHh549e/Lss89y6NAhTSG7uI+jR4/yyy+/EBAQoJnAJ7l50Ov1JCUlsWvXLnbt2sX+/fvJzs4u8nd37NgBQKdOnQgMDOSRRx6hbt262NnZVdl7X5ww12AwYDablcS50Wikffv2Je53yirQhRviuQ8//JDWrVvTr18/q78uSflJSkrit99+Y/v27Zw+fbpQ7KXea0OB+EYtGtPpbkx/jImJwcXFBWdn5zJfvywCXXFP/v7+jBgxQnmsPES5PWncuDFNmjQhPj5eWYvNZjPJycmEhITQqlWrMvtNIdBZunQpQUFBnD17FkBjg+pDdLGHcnd3x9/fn3vuuYfAwED8/PwwmUxkZGRw7do1vv32W3bv3k1KSkqhZnAXLlzg008/5ZNPPilRIGRZvDRt2jS8vLxo2LAhDzzwgBTm3mT4+PgojSl27NhBSkqKZgK0pZ9V+1aj0aj4XD8/PwICAnjuuec0BbqVjRfEXlrch7ogGMDV1RWQfldStEDXsijHbDaTnp7O+vXrGT9+PPb29rL44TZGvO/NmjUDUOJL4d/OnTtHXl6eUshYVmrTBF2dTseZM2cUQbo6fjUajfj6+tK8eXOrXlNSeS5fvszUqVNJSkpS9r/CbqKiorh8+TLBwcF07dqVCRMmaArbrG1Hwn/OnDmTv/76i/DwcM3k0NTUVEJDQ2nSpIlVr20p0J0/fz67du1i1KhRcqpEDWH597aM7yzfi+rMF5rNZhwdHenQoQMhISGaONVsNnPkyBG6dOmiOaMpKkYQzTE7d+6MTqfT5OMvXrxIWloax48fJyoqiqtXrxIaGqrs92Qxeu2hadOmLFu2jFdffZVjx44pMaHYP+j1ejIyMnj99dcBGDFihGaPWx6En0pLS2PatGlEREQUEkuIpm4///wzb731lmKfJeHh4YGDgwN+fn4EBgbi6+tL7969sbOzK9SUQdib2u58fHxo06YNycnJUixxE+Pj48PIkSM5dOgQiYmJSjxpMpk4d+4cK1asUES4YhCBg4MDvXr1qlSzXxGXenh48PHHH/Poo49qBJxijRZiSssBAZLajfB1d955Jx988AEvvPCC5v0VQi6j0UhISIjSKLA8At2yTC2zFEdUhzBXoBborly5kj///FMKc2sQ8TfPyMjAwcGhyLNHsU77+fnh5+eneVxlkAJdSUWQsaaMNW8GhM35+/tbbYJuWcSP5Z1KqqYkga44AxWvqySBrrjH+fPnK3GqtMvaQ1UIdMsiGq+MbULJAl11nFCSQBduNMn57LPPGDJkCCBtUyKRSCTVg1SuSKoUsbm4fPkykydPJjk5GXt7e/Lz84mMjOSnn34CKLNAV100sXjxYlq2bMnu3bs5cOCAZuOhPpQW3zebzbi5ueHh4cGDDz7IXXfdRcOGDQHrBl7i/jMyMpR/qydAenh4aH5PUrsQtiCKZMRmFG50ZDt58qRSbFtem7kZBbqSWw+z2UxiYiKHDx9WCuBE84IOHTooB4tVdW3LRKgQpw0bNoyVK1cSGhpKUFCQJsEpfL9aAOLh4UGrVq2YPn06vXv3VpKWJpNJTt+rIcT7evz4cbKzs5Wu+FAgmK5Xrx5Qc2ug8LP29vbMnj2b6OhoEhISlM+ASOBs3bqV3r174+joKBMztwFmsxlPT0/+97//MWnSJEUgIew2NTWVl19+mbVr1+Lh4UFOTg7Lly8nNTVVmSxqMpkYNGgQS5cu1UyCKsrW1d8TRReffvopb775Jtu3byc3Nxco8GdGo5H169fToUMHJk+eLGOBm4zk5GRCQ0N58803iY+PV6aCAJrYD1AKMQwGA6dPn+bUqVOcOHGC++67jxEjRuDl5WX1hHFpwlx1Z/Xnn39eOSwvKS4tTaArDqJMJhP333+/FObWEmJiYnjttdc4deoU6enpynslitBEh1Fx+AEoBRPqZipi7+vi4sLw4cNp0KBBue6jNIGuICQkhNdff53HH3+cFi1aWOEvILkZadCgAc2bN+fq1avKQbHwo19++SWtWrVSptNZTmBW70sSExM5c+YM3377LYcPH1aeX6zDAvWhd/369WnVqhUvvvgiDRs2VOJcuOFbXV1dcXV15d133+Xnn3/ml19+4ezZs5pDbb1ez8GDB9m3bx99+vQpk2/V6XR07tyZJk2a4OLigqOjo7X/rJJqoGXLlsybN4+WLVvyf//3f1y+fFlTeGsp0tXpdEps6uLiwqhRoxg1ahStW7fG3t5ekwetbKwonislJUXT7FAg90cSNSUJdAVxcXF8/vnn5OXlMXXqVFlMeRsj1rGAgAAlnhT7aYCIiAhSU1PLHT9C7Zmgm5yczLp165SmdSKOMJlMuLm5MWPGDOW+5GegdnDlyhUmTpxIamoqjo6OSk5GiGHVzYdiYmL4888/mTJlCnfccQcjRoxQ7MdaZzdi3XVxcWHs2LEsXbpU06woLS2NH3/8kUGDBlk9B64W6C5fvpxVq1Yxe/ZsQBavVTeWjc3Onz/P8ePHCQ8Px8HBARsbGzw8PLjrrruoX78+rVu3Lvf0pcogrtW4cWPlmlBwnhofH1/qYy0FIKAVu7dq1QqArl27Kr8XGxtLbm4uZ8+eZfjw4cq1pW3WPD4+Prz55pu89tprhUQTwp4rK5pQiyWmTJnCxYsXC+WL1PuX8PBwzRmjyLWLvJWwNZPJxPXr1zEYDMTGxrJnzx4AvLy8cHV1pV+/fjRs2JDevXvj7u6Ol5cXULAvys/Px87OTmlCI8USNyfCFvv168fDDz/Me++9p+Q9Rcy4fft2ZWquyA0NHz6cnj17Vvr6wh5btmzJmDFj+P7775UpqiKeDA8PJzc3V4pzbzLUvq5Xr15FCnTVQqzyCnSLE0cIMa7664qKI6yBeB133323UiclfWT1I/7mly5dYvHixdxzzz2MGzeuWIGuGmvWU5Ym0LXcx0uBrkTGmjLWvBkQNhcQEFBpgW5pjTcsxY+iiUt5baK0CbplFeiazWYlRlXnMyS1g5IEuurmlmUR6JalKUxlhbmC4gS6ojlcWQW6UpgrkUgkkupGinMlVYro5Pz444+TnJys6ZACVFqgO3PmTAYNGsSuXbv4888/iYqKIiUlBShIigMEBgbi5eXF1KlTadKkidKdHapmUxAfH09QUJDy/OoCUXFYKamdCFsQHQDFBllsIGJjYzW/V16kQFdS0+h0OsLDwzl16pRy4COShsOGDcPX17dKritsNz09ndOnT9OgQQOlwEIIOJ555hn0ej3//fcfV65cYffu3WRnZ5OZmUlWVhaenp74+fnRqFEjRowYQd26dXF3d9dcQ26kaw7hm8Q6rE4wms1mWrVqhbe3d40nPMS1u3TpQuvWrUlISFDWaOHrg4ODyc7OrlS3a8nNgxA7+Pr6smjRIl555RWysrKUmNPW1pbIyEg+//xzXnrpJa5fv05kZCSAImDs2rUrixYtwt7evlxrtbiGq6srr7/+OpmZmfz777/K98VBjslkYtu2bQwePJj69etX5Z9DYkWOHDnCn3/+yZ9//klmZia2traFxNmA5lBP7JVEAXBISAixsbGcPn2aJ554QrOPqSxlEeaKPdXzzz/Pww8/DJQtcV2cQFfYtclkkhN4ahFXrlzh0UcfJSwsDEDTwEXdDVot/BL2qz5oMRgMODg4kJubq8RrFSkYK02gK661ZcsWAJ588skqi2EltRfhNwYOHMiRI0eUoh1hk/Hx8Xz33XfMnTuX9u3bFxLmwo11/OTJk3z11VecP3+e+Ph4pYACCuxbrMvCJ95zzz0MHTqUfv364ezsrPmc6HQ67OzslMfb2NgwadIk9Ho9y5YtIzk5Wflsmc1mUlNTOXv2LH369Ck1flD/XBRpSG5emjRpwtSpUxk2bBhLliwhIiKCkJAQZZ1U4+3tjYuLC1OmTKFt27Z069ZN+ZnaP1sDGxsbMjMzOXjwoEYgLGJSsY+X+SmJoCiBrrANtUjn66+/BpAC3dsYYRd+fn64u7uTkJCgfF80vrp27RoNGjSokI+paYGuyWTi4MGDStNBcf8i59SoUSPatGkDyEYHtYmdO3fi7e1NamoqOTk5gHbSg7qxingvf/rpJ37++Wf++usvxo0bR0BAgFWn2Av76NWrF1988QUZGRlKjGpjY8Pp06fZsWMHQ4YMsfp6rBboSmFu9aNuIpSfn88XX3zBwYMHOXnypPI76n362rVrcXR0ZMyYMfTt25fevXsrk5uqsoGpsAlvb29A21zVbDZz7NgxcnNzsbOzK5ftFHXP6mLfRo0aASjNlaVt1i6aNWtWZaKJksQSAvVnQy0CF2uymHKmFrKLa4vfETGqjY0NSUlJJCYmEhERAUC9evVwdHSkU6dOtGnTBj8/P+644w4cHR2xs7PD3d2dBx54QE6DvEkRa75er2fWrFmEh4fz66+/YjQalYaFJpOJ1NRUJS6AG9P8wHrvt7OzMwMHDmT16tUa/2djY8PFixc5duwYAwYMkPvxm4yyCHTVgp2yCnTLMlGvqoW56kaeQIkxiOU1pY+sXsT7HhUVxZQpU0hOTiYzMxNHR0fuu+++IgW6VUVZBLqWwhsp0JXIWFPGmjWB5d+5tL+7NQS66lizrOt7RYS5gtIEumrBsBDo6vV6Xn75ZVxdXUtt7iCpHVhjgm5ZJuZaO/a0lkAXZOwpkUgkkupDinMlVY6rqyu9evUiPT2duLg4AKXQFyou0BW/07RpU6ZPn859991HTk4OkZGRJCcn4+joSL169bCzs6N9+/ZKZ0uBusOPtRDBZGJiIhkZGZqNk8FgoGHDhnTs2NFq15NUHSJQF8kVcaB95coVoHKJjooIdEWSXgp0JZVB2M6RI0cUYYOwOScnJ6XA19o2Jj4v8fHxrFmzhl27dtGrVy+ee+45pdO7OqkjJuhNmzZNeXx+fn6p4g75uahZhC1dvXoVQNPxF6BOnTqaiaI1idlspn79+sybN4+DBw9qEuW2trbExMSwb98+Ro4cKX3ubYKIEbt3786oUaNYv369Yhfi4OXAgQMcOXKES5cucenSJeCGnTs7OzN27FhFJFNeexEJTxcXF959910efPBBzpw5o/hocXhz7NgxLl68KMW5NwmbN29m1apVhIWFkZ+fr0lKq/2K+t9qAYyIBW1sbEhMTGTz5s14enqyYMECqxRYliTMBSolzBVYCnTfeecdTpw4QX5+PiNHjpTC3FpCeHg4s2bNIjExUdPdWd3s6q677qJRo0bcdddd1KlTB0dHR1JSUoiNjSUsLIy9e/dy/fp1MjIyyM3NRa/X8+qrr+Lj41PhdbQkga66QEMKdG9fhN/o06cPLi4uSkM4UTiZm5vL7t27uXLlCo888gjdu3fHzc2NvLw88vPz2bx5M8ePH+fPP//U7PvVE0vV3adtbW1p3bo1999/Pw899JByH2ofZmnr6sl4EyZM4MSJE2zcuFEj1jEajfz1119MmDABV1dXGXfeZtja2uLt7c37779Peno6R48eJSkpiYsXL2Jvb0+DBg1wdnamV69eODs74+LiojxW2FZV7N0TEhK4fv268pnQ6XTk5+djb29P27ZtAbn/lmgpTqCrLjiKi4uTAl0JJpMJR0dHGjRooBSjiw79+fn5HDlyBH9//wr7mJIEuqLIyNoCXWHHkZGRrFixgtjYWMV/6vV6Ja5+/PHH8fHxqdA1JFXHzJkzmTp1Kr///rsyES87O1v5ubAfUWirjhd37txJcHAwDRs25LnnnqNly5Z4e3tbbY1s164dc+bMUabnCuFQRkYGR44cYciQIVWyHqsFFiCL16oL4UsyMjLYs2cP69ev58CBA8rfX73XEfv2vLw8cnNzWbVqFX///Tc9evTg9ddfx8nJqUrvVdyTv78/Tk5O5OXlafZRWVlZGI1Gq0x3LG6vpf6ZpPZQFaKJ0qaYiVoPdRMFdRwq/q8WRkDB+b96/2/ZiE48Tvje1NRU4uLi2L59OzqdDk9PT9zd3QkMDKRXr16MHDkSkLnOqkL8XbOzs7GxsbH6eaN6/zt+/HjCw8MJDg5W8vSAxtfZ2toq5+rWfL87d+7MxIkT+f7775XriXNWUWsl9+M3H9YW6NYmYa7ZbGbRokU8/PDD+Pr6VnmTEEn5Ee9JVFQUkydPVvLop06dUpr13nfffeVuQF0ZyiLQlRN0JZbIWFPGmtWJ+DvHxMRw+PBhRo8eXSbfYy2BbnHiR2tNJVVTkkDXMv7Iycnh77//JiUlhaVLl1Z5/kFSGLGu5+bmlivvUpkJusXFniLeBOtNzLWkOIGuaNgtvl62bBk6nY5x48ZpBv1IJBKJRFLdSHGupEoRAdaLL76Ik5MTv/32G4mJiYUKyCoi0FVvaHU6HW5ubri7uyudc4vCshDe2ohgcuXKlSQlJSmvUWzQfX19sbW1lRvlm4B27drh5eVFamqqIowBOHfuXLk3N0VRXoHugQMHpEBXUmmEzZw9exZASSgajUbq1aunTMCpiuLey5cv88477xAcHExaWhrx8fHcd999dO7cuUh7Viel9Ho9Dg4Oyu9JH1q7EVMmxHso/F1tEeZCgQ/u2LEjvXv3Zv/+/UoTBpEMv3DhgvK7ktsHLy8vhg0bxuHDh7l48aJSpAs34tXvv/9eKbQU8Z2Hhwf9+vWr1GGzuI6bmxtLlixhxowZxMfHK0l6kVD86aef6NKlC/b29tI2azFr167lww8/VPyh+rBOfK2eKiJQN6qwpEOHDowZM6ZahLlqYWZFhbkCtUB34cKFPP/88wQEBMjOvrWEK1euKMJcddMWg8GAs7Mzffr0YejQoQwfPrzE50lOTubEiRNs376d7du3M23aNLp161bpPUtJAl1RjCwFurc3ZrOZ5s2b8/TTT/P6669rCndEwebp06d5/PHHadOmDW5ubmRmZpKfn09YWJjio9TFFlDgu8TEKltbW+bPn0/fvn3p3Lmzcm3R7bwk1JOrHnnkEYKCgkhOTlb2YQCJiYnk5eXJtb2Wot7TlPYelXddUz9v3bp1GTBgQJnuBapGjCCe8+effyY6Olq5R7E2tG3bFi8vL7l+S4pECnQlZUGv11O3bl26devGmTNnNPshgGvXrlX6GtU5QVc8JiMjg4ULF3LhwgVNY1mx1k+bNo3+/ftX+rVJrIvwT/b29owfP55BgwYRFRXF8uXLuXTpEpcvX1aEuUXFi4Ay7Wb+/Pl0796dgQMHMnnyZMW3VVaccMcdd9CwYUMlRwQ37O6nn35iyJAhdO/evfJ/CEmNo278vHz5coKCgoiKitIUgos8jfAr6hyO0WgkNjaWTZs2ER4ezjvvvIOfn1+V7y+cnJyUfY26AZFoNhMQEFCl15fUTqwpmihNLCHsX5wbCh/t6OioFAbn5ORopp6J+FMIysRZvPi/pZBC3YRdPfHMzs6OxMREEhMT8fPzU8QSJeV3JRVH3QzlrbfeYuzYsQwePNjq547CBv39/RkyZAgXL15Upoapf0fkJZ2dna16ffE5sDyvFzHFuXPnNL8nqXks97MlvTfWEuiqB1DUBmHuzJkzOXz4MKGhoSxdupSmTZvKfX4tw8bGhoiICGbPnk1SUhJ2dnbK2nj27FnWrFkDUGsFumrhjRToSmSsKWPN6kBd5yhyPHl5eUyYMKHKBLomk4nx48ej1+vZuHGjIpJVT3GuKvEjlC7QFcJgo9FIVlYWXl5eUphbA4h9SGRkJC+++CLPPPMMvXr1KvPjKyrQrenYszSBrr29PXl5eXz88ce0bt261LNWiUQikUiqEinOlVQp6g6+Tz75JIBVBbqgTUqXRnUkkLZu3crx48c19yMC0dGjR1s9SS+pGurUqaOIFNSCbhHUWwMp0JXUBHl5eaSlpQHaJgfC3vV6vVW7mer1es6cOcOsWbNIT08HbmzQ09PTeffdd/nqq69wdXUt9Dj1wZL6e+I5JbUPYTciASeaGliKc2uL7xIF8F26dGHfvn1KYl0Unp84cYK8vDxsbGxkh9/bjB49ejBjxgxF5CMOT4xGI0FBQUqhLdywo0mTJllFpCDW/caNGzNjxgw+/fRTpcugWiBclknikprju+++44MPPgAK1iu1iFDsC3x9ffH09KRFixbY2dmRmZnJ4cOHyc/PJyEhQbEHk8lE69ateeqpp5SinMpQkjBXLQSHygtzBWqB7tdff600U5KH5jVLbGwsjz76aJHCXA8PDxYsWECPHj1o0qSJ8hj1eya+NplMeHh4MGjQIAYNGsT48ePx9va22tpZkkBX3LMU6N6+iJiyd+/ejBgxgi1bthTaSwu7Dg8PV+JTYcfiINyyCzrciFnd3d1p1aoVCxYsUES5UH7/JT4Pnp6eODs7k5iYqNnbpKWlERUVRf369Sv/R5FUGsv9inq6hJgQnpaWhk6nw8vLC1tbWzw9Palfv36hCSZlsZWi9kbF7ZmqYx+1f/9+du7cCRTEpyI26NevH3Xr1q3ye5DcvEiBrqQ0hH9r0KABUHB+JDhy5Ai5ubnY2dlVyiaqY4KuyBfk5+fzyCOPcPLkSaUxq3qqWmBgIEOGDCk0jVRS81g2AHZ3d8fDw4OPP/6Y6Oho1q1bx549e7h69aqSNxeoRTq2trbk5OQQFBREUFAQ//33H926dWPSpEmaqfcVyYl269aNXr16sXHjRuWzImz02LFjdO/eXfrQmxzx/sXGxrJo0SJlerPYm6h9ZFENTkVOW+x9Tp8+zXPPPcfrr7+uTHSsCsxmM02aNKF169acO3dOKTw3GAwYDAZiY2OlOPc2pijRhHoSeVlEE6WJJdQ5zMaNG9O8eXNGjRpF48aN8fDwwNnZmYyMDGJjY5XGXREREcTGxnL27Fll0hAU+HQRC6jjE/V9ic+curHh6NGjee+995TnqQ1nX7caanHEtGnTSEpKIjMzE3t7e+6++26rC3SFGGf69OkcOXKE3bt3a0QRAoPBQEZGhlWvLeynb9++1K1bl+zsbE0T+fj4eM3vSWoWdXONmJgYOnXqVGpzt7IKdIU/KkmgW9zUsuoU5s6YMYMjR45ga2tLSEgITz75JJ9++ilNmzaVE3RrCcKmXnrpJeLj43FyciInJ0eTp5ECXcnNhow1JVWJOvacOnWqMm3822+/xWQyMWnSpCoR6K5du5Z69eqRnZ2tiGPVNRxVvb5DyQJd9X2PHDmSt956C5B2WZ2I9zsqKooZM2aQkJDAG2+8wZtvvlmu/E9JAl1RfyEEuk8++STLli0jICCgkDBX+MvqsE0oXqBrNpsVnzl06FApzJVIJBJJjSNPgyVVTnUIdGsL8fHx7Nixg8TERABNV6uWLVvSqVOnGr5DSVkwGAw4ODjQpEkTYmNjNUnuuLg4wsPDrfZeSoGupDoR3dwyMzML/cxoNJKfn2/1Q8y8vDz279+vCHPF1Ai9Xs+1a9e4dOlSlW3MJdWLeA/FQZvo5CySzdHR0WRmZlKnTp2avE0F4T/79+/PDz/8oBxyiwP26OjoKvlMSGo3wi4mTpzIxYsXWb16tVKAKeIBkSgXCT51UXFlEde58847NUl9cc3IyEhOnz5Nz549K30tifX54YcfFGGuumBHHKI5OTnh5+fH6NGjuffee/H09NQ8PikpiaSkJD7//HNOnjzJ/7N33nFZle8ff7O3oKCgguDeuLeWmVlqjtTc28yRZlrZtKGZaanl+GaZI3GlmVrZsHKk5gLciANlCIIgAiLzGb8//N2Hcx6GIFO8369Xr/AZ55znOddz3fd93dfnumJiYvDw8GDMmDG0adOm0IkMD+qYWxzCXIGYrwphrqzsW7rcuXOH+fPnc+XKFY0IQafT4ebmxv/+9z/NeienDqFqcSNk2VdxJP8+qIOusF0p0H188fT05IUXXiAmJgZ/f3/NWlotDBOou9mpu+eKTW64L6QZMGAATz75JO7u7hpf+DD+S6fT4ejoSO3atQkLC1MS7Q0GA+np6SQlJRXNlyF5aEwF2hcvXiQmJoYff/yRO3fuEBoayp07d4CsQkRWVlYYjUaqVq1KtWrVaN68OR06dKBmzZq4u7tnE+vml9KK8yQlJbFv3z4iIyOBrMr9ZmZmeHp6Kr5YxqIkeSEFupK8UAsOVq1aRWpqqkbIeufOHTIyMoqkIFVxCnTVyT/jx4/H399fI8wVn9PZ2Zl+/frRrl27Qn8eSeGJjo7mypUrtG3bVmNj6uKsRqMRR0dHGjRowIcffsj58+c5e/Ys3377LXfv3uXevXuKHantSV0U5sCBAxw8eJCffvqJCRMm0KRJE+rXr6+cJ7/+Trxu9OjR+Pv7ExERoUnY3bp1K4MGDcLNza14vjBJsSPucUREBFOnTuXKlStAVuFSEX8UvkmdtA3a2JNavH3lyhXmzZvHihUr8PLyKhZxjLBnd3d3zp8/r/xb+FYhIJM8vhSmq5kYp3MSS4A2htmnTx8GDRpEixYtshWIdXd3V4odPvPMM8q1Xb16lYSEBA4cOEBsbCxnzpwhNjZW2TtVd01XdzwTgjnxWN++fRWxhJzLFh/m5ubEx8drOj6ePn2aVatWARS5QFfEa6ytrfn0008ZMWIE169fV+692hcLOyxqbGxsNF301LErSdlA/OZDQ0MZOXIk9evXZ9q0abRo0SJfAl1BbgJddWFMIdA1Go307t07x456mZmZSke70hDminMEBQUxY8YMlixZIuPzZQThQ1auXMmYMWO4du2aZm/lURLoqrvkSYGuRM41JcWBWpg7fPhwbt++rXTkDAsLw8/PD71er8SzH0RBBboLFiwgKioKKNnCG2pyEuj+8ccfSs5n3759lXwYaZclR062aWtry/Xr13n33Xf59NNPi0WgGxUVxeuvv07fvn1ZsWIFoI1FqW3Tz8+Ppk2bFqtd5CbQ1ev10jYlEolEUmaQ0TtJiVCeBbrqydzmzZv5/fffATQLZqPRSIcOHYqk25Wk+BEbGw0aNMDf319ZEBuNRlJTU5Wuo0WFFOhKSgpzc3McHBwUcaS66npiYiKpqak5drEtDKJy8YEDBwgICNAkkkRFRfHTTz/h6+srF8XlCE9PTyC7OFdUkC4r/kpcR7Vq1XB0dFSCiUA2cYbk8UHd4WzYsGGEhIRw5MgRZRyGrCrDlpaWWFpa0qBBgyK/jiZNmjBkyBDWr1+vnBOQyW1lmO3bt7NgwQIgZ2Gui4sL48ePp2vXrtSrV095X2ZmJlZWVhgMBlxdXXF1dWXZsmXs3r2bw4cPU7VqVZ5++ulCFzYQa7GS7JibF2VlLHgcycjI4JdffuH06dNAlm0IYe6mTZvw9vbWrDHyc7+Kuwr+gzroSoHu44uw1U6dOpGRkYG1tTVHjx5V7EL4Y3XXe7UIU530DvfjAB06dGDmzJlYWVlpBGWFQcQZxBpMXI+Ih6m7qklKBzEP3LdvH8eOHeOnn37CYDCQlpameZ1ImhEJFDqdjsjISCIiIjh+/DjffvstTZs2pUOHDrz44ou4urpiZ2dXpjeDxW9i7969bNq0SUkEEnNgvV5PnTp1qF+/PiDHccmDadasmZIUIgS66qJDUqArcXZ2BlAEB3B/PpmQkMC1a9c0HesLQ14CXXVib0EEunklpKtt3Gg0MnjwYIYNGwbIwgalTVhYGP369cPd3Z23336bTp065SjkMRXQNmnShCZNmtC5c2dOnz7Nli1bOHfuHIAy3xT3W/g6sca6du0a8+fPx8XFhXHjxtGlSxd8fHzy7efE66pXr07t2rWJiIhQ7NPS0pLo6Gi2bdvG5MmTNQVGJI8GamHuuHHjuHHjhkb4rdPplLWDl5cXTk5OODo6YmNjw6VLl0hISFA67ALKOAv356uXLl3ijTfewM/PD2tr6yIfY4WfrFGjBpAV/xLrr4CAAEaMGCFt8zHnYUQToghbfrqYjRo1infffTeb787J5oTNGo1G6tSpA6AkL8fGxpKUlMSFCxcIDAwkIiICf39/AE3HM2HPMvG35FGP2WKdev78+WIT6Ir9zUqVKjFz5kzmzp1LXFyc4qetra2pXr26Uri1KBEFrnPan7S1tS3y80kKjlocMWrUKOLi4khKSuL777/HYDDQqlWrBwp0Icuv5NVBVy3QXb9+PS4uLiQkJGiEuaJQTGkKc8W1WlhYcOHCBXbt2sWMGTOK5LySwqPT6ahcuTJ+fn4MHz6csLCwR1Kga7oXJAW6EjnXlBQlOYkfraysyMjIUO57SEgIK1eupHXr1speyYPIj0BX+LibN28CWflqJTG+54RaoCt+A9u2beP555+XdlkK5Gab6enpWFpaEh4ezptvvsmnn35Khw4d8n3cvAS66uKW4eHhijA3L9F4cQtzBUKga25uzsqVK9HpdJou49I2JRKJRFLaSHGupMRQb0rPmDEDMzMzfvzxx1wFuiIZbMCAAWVWoKtO0Pz+++/55ptvALIlgLZo0YLp06cr/y5rn0OiRdyjihUrah4Xi1/RQaQokQJdSUlgNBrJzMxUBD7qxMjExESOHDnCgAEDinyhWr9+fV588UVNQFTYa3BwsBJQlzb8aCNspmbNmgBK0FoIHsLDwzly5Ag9evQoMz7LYDDg6OhItWrVuHnzpiawfvv2bWJiYqRQ4jFE2LK3tzfPPfccV65c4datW0DWeA33faq1tXWRdygRvw8hdBfnFUluN27cKNLzSQrPgQMHWLlyJYCyeQJZFcvd3Nz44osvaNmyZbaqulZWVkCW3YkxuF+/fnTo0AE7OzucnJwKfY2iY/2gQYNITEwsVWGupHQQNnfr1i1+/fVX4uLiNL6lUqVKrFy5Em9v72LpqlMU5CXQVYsrpED38UK9ln7qqadwcnKiZs2abNy4UfFtIilCvB7QJPLY2tri6OjIxIkTad++PU2aNAG0XUMLi/hdJScna44pxozi6rYiyR/37t0jIiKCzz//nODgYG7fvg2gJBYKW1B3Yzbtjqj2qefOnePs2bP8888/1K9fn1mzZlG9enXlfGVlPQRZ1/Lvv/8yZ84cZW4gkjv1ej1eXl688847ynch5weS/ODr6ys76EpyxGg04uHhQevWrTlw4IAiftDpdOh0uiIV50LRCnTzSkhXd1IVwtxZs2Ypn7ms+P3HkbCwMEaMGEFaWhphYWF8/fXXGAwGunTpkquQR+2HjEYjNWrUoEaNGvTp04fdu3cTEBDA9u3blQK96j1BMX6am5uTkpJCSkoK8+fPp3HjxrRs2ZIpU6bg4OCAjY3NA32e0WikQoUKTJo0iSNHjpCZman8ZgACAwOV90s7e3RQJ1aOGDFCs7YV80k7Ozvq169P37596d69u0YAFhERwa1bt/j888+5fv26UlBYjLPCJs+cOcPSpUuZPXt2kY+twj/6+vrm+Pzdu3fleC4BCiaa0Ol09OvXj6SkpAeKJcaPH8/s2bM158rL5oTNqv2k+C26ublRuXJlateuTd++fQEIDw8nLi6Of/75h5iYGI4fP05qairJyckyKb2E0ev1ODo60qZNG3bv3g1k3cfiFOgKm2nZsiXPPvssO3bsIC0tjcqVK9O5c2emTJlCjRo1itwGLCwssLa2xtraWrPXoL4mSemRkzjCxsaG9PR09u7dq7wuPwJd9fN5CXSFHZw7d46PPvqIiIgIIEsQUdrCXLEOEnOQfv36SWFuGUOMn66urmzevPmRF+jKDroSNXKuKSkKchM/ini2usDvyy+/nG9hruBBAl11YxUgW65JSQpzBcKn2tnZ8dZbb+Hr68ugQYMAaZclSW62KeaAwufcvHnzofLZ8yPQhSzfVhrdnHOiUqVKjBgxgrt373L79m0pzJVIJBJJmUKKcyUlijoYIjro5ibQDQ0NVTrollWBrriWTZs25dgpy2g04ubmxvPPP4+Dg4PmPZKyj0gCMl1wBAUFFcv5pEBXUtyYmZlhbW1Ny5Yt+e+//5QAkgj0nDx5kgEDBigBoKKwJ3Gcvn378uuvv3L48GFNN+pz584RGhqqVA+UPNoYjUaqVKmSTcQgbCw4OJgePXqUGV9lbm6OtbU1Hh4eQJYfVosvJY8nYrOmX79++Pv7s3v3bmXTTy3iTkpKIioqCicnpyKza3Gctm3bYmdnR0ZGhmYeIoTCkrLBtWvX+OGHH4iNjQWy/J2FhQWZmZlUrlyZNWvWaLrlQu5rAvUYXNSV9y0tLalSpQqJiYmaTR0pzH08EDb33XffcfbsWY2IzNHRkQ8//JBmzZopCT9lFSnQleSEei3dunVrmjRpQteuXVm1ahU3btwgOjo6x/dVrFgRDw8PBg0ahK+vLw0bNlSeK47kyuvXr3PhwgXNHNPS0hIXFxeqVatWZOeSFIxr167xxx9/sGvXLsLDwxUfqJ77qdcIQLa/xb/VyRp6vZ6rV69y9epVjh8/zuTJk2nXrh1169ZVxL1lYaw1MzPj6NGjTJo0SSPMhaxiRv3796dKlSpF0kVaUj4QY64gt8IezZo1kwJdSTbEvNTHx0eTgCbmcaJLRFHGuotCoPugTlEiId1oNNK/f3/mzp0LyLVVaRMeHq6IH21sbMjIyODs2bNKod28BLoCdVEVCwsL+vfvT//+/Xn22Wc5cuQIv/zyC3FxcQCasVTYsFh3BQUFceHCBY4fP07Hjh0ZOHAgdevWVc6Tk60In1m3bl2eeuop/vrrL+V6jEYjhw8fZuvWrQwdOrTMxFsleZNX0q+wFWdnZyZMmEDXrl018SRhg56ennh5ebFixQr8/Pz47bffFKEO3LcNMZ87fvw4V65coV69esWyh1ihQgUgax4sbPbSpUtER0dTuXLlMh1jkJQM+RVNfPLJJ2RkZODn55dvsURhxlnxPrVfFTYsijK0bNkSuJ/sfPfuXc6ePSuT0ksY4UNEYWB1l04oXoEugJubGy+88AK//vorHh4eDBs2jN69e+Pm5lbka2RhU6dOnSI+Pl7JnRLzUpG7InNCSoe8upaJe1QcAl0hftXr9cp4L8Q6ZU2Y27dvXxYuXKj5viRlAynQlZRn5FxTUhgeJH4U63SAt99+m7Fjx2rel18eJNBV+1jxbzG+b926lQYNGpS4TYh9LgcHB2mXpUBe8SPIykcCeOedd5R7VFAeJNAVqOOcpSnMFVSqVIkZM2YomgxpmxKJRCIpK0hxrqTEKUsC3YfpCKQ+f0ZGBuvXr2fJkiWAVpgrPme7du3o2bOnJmFJUrYR99fFxQVAU23IaDSSnJxcrOeWAl1JcePl5QVkT5jYuXMnTz/9NN27dy9ykZm5uTk+Pj4cPnxYSUQWfjE+Pr5IziUpfcRGSdOmTTl79qzymAja7dy5kx49etCgQYNSvtL7CJ+ZlpYGZHVHs7CwwM7OjkqVKpXyFUpKC+GnrK2t+fDDDwkKCuLKlSvKvFF0QDEajYovLWrs7Ow0ldHVXXslpY9Yt5w8eVIJUAubEJs0bm5u+Pn54ePjU6BgcHHYk16vp1KlSqxfv54ZM2bg7++vbCyBFOY+Lhw6dIh//vlHGZvFfKxXr17KBvCjsJaQAl1JTqht18bGhs6dO+Pr68u9e/fYt28fSUlJ3Lp1i8zMTOrUqYOrqystWrSgWrVqOfq8ovSDYi1/+fJlICsZyszMTOlcXbVq1SI7nyT/BAYGsmTJEoKDg0lOTlYSCsVcELQdccUaVoz7ojOeqYBXXdDFwsKCuLg4Fi9eTMuWLRk5ciRPPfVUkRbFKkh80/Scf//9N9OnT8doNGo29sVn8vX15bnnnsPGxqbQ1ykpH4jfgsFgYMuWLQwbNizXLqMgBbqS7Ih727x5cyCrGIJaSPbSSy9hZWVVpOctjEBXJGrmJsxVJ8737dtXVusvI9y8eZPnnntOie9kZGQoY2BBBbqQJQ4SY2nnzp3p1KkTo0aNYv369Vy4cEFJBIas/UIxLxD/Xb58mcuXL7Nt2zbGjx9PixYt6NSpU64dcM3MzHB0dOTJJ59k7969yjxE2O/Jkyfp168ftra2j8R67nEmP8JcV1dXFi5cSNu2bRW7VCdAQlbc0s3NjZdeegknJyf8/PyIiYlRnhdjbVBQEEePHqVevXrFYh9ibZWQkKD4RICEhATu3bunFMWUSPIjmrh79y4fffQRer1ek3ORm1jiYfI88kL8RtQCCvFvDw8Pqlatqgjm5Rhfcggf6OzsDGQXuEDxC3SbNGnCypUr0el0+Pr6Ym9vXyw5GcKmLl26pBRaELEjQCl0Lcf7kkf4qdDQUEaNGpWto55aQFtcAl3xWkAz3xTiCD8/P5o2bVpiwlx1gSKxDpKdHss2DxLoquM0UqAredSQc03Jw5CXMBcoMmGuQMwZmjZtytKlS5k1axbh4eGKrZpibm7OuHHjlPy60sgVMv0NSLssGR4kzFX7rbfffpsxY8Zo3ldQ8hLomuar6XQ6rK2tS000rkYIc2VhYYlEIpGUJeSIJCkVTAW6gwYNws3NDUATWDQzM1MEuj/99BPJyclFJkyIjIxk//79hIWF5fs96uS6M2fOsGDBghyFuWJiWrt2bWbOnCnFPY8gBoMBFxcXXFxcsnWAvHjxIgkJCcr9LmrUNv7EE08wevRoOnfuDGQlgIrXqQW6165dk8IdSb7o2rUrvr6+yr+FPzY3N+eff/7JtbPUwyL8uihUoC7CoNPpuH37NiC7lJYHjEYjmZmZeHp6AijJ68IGEhISCA4OBig2H1oQ1AnzakSwXvJ4I0Tl9vb2zJkzBw8PD03CsJubG4MHD6ZJkyZFfm69Xk9aWhoZGRlAlsgd7nf5k5Q+5ubm3Lhxg6VLl5KamqokIYhNmkqVKrFy5Up8fHw087fSQqxPXF1d+eqrr2jbtq0U5j6GnD17ltjYWGXOJcS5PXv2pHLlyqV8dQVDCHTfe+893NzclKQMkbAmxvY9e/awbNmyAq37JSWDutquGvWaQLymoOsEMcerUKECVatWZcSIEUyZMoUPP/yQTz75hLFjx9KnTx88PT2V8b64UHej3rhxI6mpqZqCMHA/Uc/a2jrX70RSPBw9epTXX38df39/kpOTlVilehNXiF7EvRH+RSTJ6nQ6xT6FcEsdQxKvs7CwIDU1laNHj/LWW28phQgLk9CWkJDAf//9p1xnfn4nwvbgfifBtWvXaoS56qQTg8GAq6srU6dOpXbt2g99nZKHx7QqeVmImaiFuaNGjWLevHksXrxY8XW5+VMh0G3SpImS2KsW6AKKQHfTpk1A1v6BpPwh7nmjRo1wcHBQEokEd+/excrKqliSfoVA94UXXqBChQrZii2IONbatWuVxHILC4sCCXNlQnrZQafTKcJAMQaK/5uZmSkC3UOHDinxl/xg2s2kWrVqvPnmm6xevZo333yTjh07Kklywt+pC3mIDmcpKSn873//Y8aMGXzwwQcEBgZy7949zR6P2v8PHDiQHj16KJ9HPPfnn39y8eJFKdQp4+RHmOvm5sY333xD586dNcKynO6t8D1OTk4MGjSINm3aACj+SsxNAfbt20dycnKxjKsVKlTAyclJEXSoC76I7n5lYQ4jKRsI0USrVq2UsdS0MIHw0+qci5IQS+SEem1n+juUY3zJIb77atWqKX5NPU6K+yQEuv/++2+BxvUHIc7VunVr2rdvj729vea6ipqQkBB2794N3Ld/sX/fpk0bGjduXCznlDwYMzMzkpKSGD16NLGxsVhbWysxFHWhNhFP2bt3L35+fgQEBCjvz2s8VD8vBLqVK1fWxHFy8kNCmLtly5YSF+aKNbtcBz1amAp0vb29Nfsp6vsnBLq//vqrUuiopOZ16nMJge5zzz2n5GWqi2mLseG9995jx44dgIwpPa7IuaakIBRU/FhYYa5A+KcmTZqwZMkSatSokeN4L2KN//77L9u3bwey9m0k5Zv8dMwtDtsUAt1JkybRvn17QOsL1XMAZ2dnnJycgLJROKgsXINEIpFIJAI5k5eUGqUp0I2Pj2f79u3Mnz+f999/n2PHjmmeV29sq6/HwsKCjIwMVqxYwYIFC9iyZQuQXZir0+moXLkyy5YtUwRKkuJDbQtiA7iwmJub4+npiY+Pj7LgFce9c+eOUv2yuJACXUlx4uDgQP369QEUEQPc93V79uzh8OHDyr+LAmGvIlggfk/i+CLRRC6WH33MzMywtrZm8ODB2NjYaBIsRUL68uXLuX37dr4TyIsTcX6xoSQ2ueG+8NLKyqpMiIglpYcY6xs2bMigQYOUzj0tW7Zk0qRJzJ07Fyh6sblIbFeLksQ5XFxcivRckocjIyODjRs3kpCQoGzwCVGgo6Mj7777Ls2aNdOIsoqavMbpnJ5TC3SXLFlCvXr1mDVrlhTmPiaEh4crYhe1eGbEiBF06NChNC/tgeQ2X8hLoKter0mBbtnA1C8ZDAb0ej2xsbGcO3eOy5cvc+bMGY4dO8b169eJj48nMTERyF5JvKDkJPhVU9xre4CtW7dy7tw5zbnEXPmJJ54AZMJFSXLw4EFefvllbt68qYiyTAVWRqMRV1dXatasyaRJk5g3b56SkLZz5062b9/O0qVLGTt2LF27dlWSZtX+R3088XdSUhJz585l+fLlSiJnQUlJSeG3335jzpw5TJo0ifj4eMWehI2r55LiOWFju3bt4vPPP+fzzz9XhBui24uIa1pYWPDpp5/SunXrQn3XkoIjfJbaJ5iKvqHoYjb5RS3MHTNmDAEBAZibm/Pjjz+yaNGiAgt01WsdKdB9/DAYDNjb21OlShVA2z3k8uXLXLp0qdjufW4CXSCbQHfhwoXK+0wT0tW+XSakl028vLxYt24dDRs2VArxqTvXF0agKxDHs7Kywt7engkTJvDZZ5/x9ddf06pVK6pVq5ajv1OLN5KTk9m2bRtvv/02r7/+OpcuXeLu3btAlv8Xx+jcuTO2trZKXFWM4evXryc5ObmIvjlJUZNfYe66deto0qRJvtc9Yg7r4uLCq6++ipOTkzKng6x45bVr18jMzCxyvyTsuFq1akDWukrMPU+dOqVcp0QiMBVNiMLoartXz4eFPY0bN65ExRKSsoeNjQ2gLeSmLnxRXALdkvZhp0+f1hQ3EPPOpk2b4ujoWKLXItFy7949fHx8NOtZ0K5lREyouAS6asTccvLkyTRs2FB5rCjIS5irXgcZjUa5DnoEyUugK+z4URHoiv1zKdCVCORcU5If8uqYq461QNGKHwX5EeiK81y4cIGNGzdK3/aYUNLdnE3JTaCrPralpSWxsbGMGjWKc+fOyZiPRCKRSCQmWJb2BUgeb0wFugA//vgjcXFxyuNiAicEugADBgzA0dFRCbYXhMzMTKWq0O3bt7l58yZjx47l5ZdfpkmTJvTo0UOzSQ73J5nBwcEcO3aMX3/9laCgIOU5ddKRulPWunXrqFWrVqG+H8mDUScxCHsxtQl1gDi/9iK6P4pNDvE+S0tL7t27R0xMTLF3RBYBIjMzMyVZF+Dw4cOaz60W6C5cuJC33nqLWrVqPdTvQ1L+EYGkyZMnc+DAAWJjY5Xfh6WlJRkZGcyfP5+GDRvSuHHjIt1EMQ3Ui38LsZuk/FC9enVq1qxJcHCwRmRoaWlJZGQkX331FW+//bZSYbq0MDMz49atW1y6dCmbfbZs2VKp9CaRODk50b17d/7++2/q169P//79FTFbURfsEGP85cuXlQ1FEfDU6/Wy8EsZISMjg8DAQEArzra0tKRPnz60bdsWKJ7kHXXHe0FaWpoiiLC2ts42dot5ofDJbm5ubNu2DVtbW80xJeUPce/DwsLIzMxU1hDCVkR3nbJiA8IHZmZmEh8fj7u7e56/IyHQBZg/fz5xcXGK3xRzD51Ox549ewCYPn06Pj4+JfFRJP+Pqc+6ePEi169f559//iEiIoK4uDiioqI0m9329vbY29vj4uJCmzZt8Pb2pnv37jg5OeHs7KwcO79rXvVrSsPOw8LC2L9/P2lpacr1iDVYhw4daNGiRYlf0+PMkSNHmDJliuIjcqqSX6VKFbp06cKwYcPw8vKiQoUKOR6radOm9OzZE7jfnTwwMJAdO3Zw5coVIGv9rS4kJ2x95cqVpKSkMHHixALFlwwGAwEBAWzatInIyEgiIyMZM2YMzz77LN27d6dBgwbK5xFYWloSHx/PyZMn+eOPP/jrr7+Ua8rtO/jqq6948sknlc8h40slR3JyMrdu3eLw4cPcuHEDg8FAeno6devWpV69etSqVQt3d/dsnR+KE7Uwd/To0fj7+yu2k5iYyK5duzAzM+PNN9/Mc20kBLoLFizg/PnzioBI3XVHCHThfhGRgsZ0JY8G5ubmuLq60qJFC65fv64kdovEyLi4OMWfFQdCoAuwc+dOkpKSlHmysHedTse6desAuHTpUrZOUSIRWApzyzbe3t4sXbqUmTNncvHixWyiAkAR6AJ06dJF07E0P6iLJ5iZmVGlShWqVKlC48aNiY6OZs2aNZw6dYqoqChNQpvY2xHxnvDwcMLDwzl16hSdO3fm2WefVTrlivf07duXH374gQsXLmj2Jq9cucK9e/dwdHSUNljGKIgwt27dugW+f6LrU40aNejZsyfbt2/X2IbY00xKSqJixYpF+tksLCywsLCgXr16/Pfff8p8V4ztcXFxRXo+SflBiCbmzJlDQECA8nsQ4glhQ8KOX3nlFaZPnw5IscTjjLAHsT4AbeEi4TuFQBfuF0Mr6LheGMRcIDMzEzMzM0Uslt/3nTlzhi+//JKUlBRNLMHX15eXX35Z81pJyVO1alV69OjBiRMngCxbVN8TsT4QPm3v3r3K+1u1aqXJ/8kJ9fNCoDt79mxNPodAnPvff//F09OT559/XpM39bA8SJgr10HlA1OB7vDhwwkLC9P4HhGnEQJdgOeffx5ra+sS80Xq34QQ6AL88ccfmvmD2E/X6XS89957mJmZMWDAAGmTjylyrinJi7zEj+ripVA84keBqUB35syZREREaOYX4jWXLl3Cz88PgIEDB2ry7SXlh7ziRyVpm0KgKzh27JjiG9VjblRUFK+99hpfffUVTZo0KbLzSyQSiUTyqCPFuZJSp6QEuuJYp06d4ssvv+T27dtKQFyn0/Htt99iaWlJ8+bNqVy5Mg0aNCAxMZHbt28TFRVFYGCgJpgqNs7V1Yh0Oh1eXl6sWrWK2rVrF/VXJTFBnbg9ZMgQUlJScHV1pX379ri7u9OwYUNq1KiBubk5Tk5OGjsRdiOSIUxtSHR/bNmyJYcPH1YWOCIQGRwcrFSgLE4KKtA9duyYEqSX4nBJTgi/5eHhwaBBg1i3bh1paWnK78HKyorU1FReeuklvv/+e+rVq1fohbyw1djYWKXipkgCdnR0pGbNmkX4CSVlAS8vL3r16kVwcLDSmUId4D5x4gSHDh3imWeeKfWAYWZmptI5QD2nqFy5MiA3uiVZNGjQgGXLlmFtbY2Hhweg7XpSVIgNn7///lvzu9Hr9Xh5edGyZcsiPZ/k4fjtt984e/assomnnlf26NFD6QBVVKh9kbm5OTdu3ODcuXOcOHGCW7duce3aNQwGA46Ojri4uFCrVi2eeeYZatWqhZubm6batUieEMLc4rBjSdlB2M3u3bu5e/euplOTt7c3nTt3BspOx04LCwuSk5PZtGkTISEhPP/885p1UE7kJdBVJ2Xs2bMHV1dXpk+fLgtwlCDm5uYkJCTg7+/Pb7/9xtGjR7lz547meYHY2MvIyCAlJYW4uDiuXr0K3O9eV7duXQYPHkzr1q1xdXXNVsm/LKG+rm3btnHw4EEg6/MKYU+LFi1wcXEprct87PD392fWrFl5CnMHDx5Mt27d6Nq1q/K+3Iq+qe+zr68vvr6+DBkyhLVr13Ls2DFOnjypJDWKeJLaL4n1+LRp03B1dc3z2sW5Q0NDWb58OSEhIUpc88qVK1y/fp3Vq1fTvXt3pVhSRkYGsbGxXLt2jZMnT5KcnExqaiqQJRJXFxnR6XTY2tqyZMkSxa/K9VDJsnPnTn799VcCAwOVe2VK7dq1ad26NcOGDcPT07PYhVi5CXPVorI7d+6wdu1amjRpQq9evfI8Xn4Eurdu3WLNmjWKgF3aYPlD+BZ3d3cAzVrHYDBw4cIFOnfuXKxJkQUV6KqFubJj7qOFj49PNoEuaO9XYQW6QLb9p0qVKlGpUiUWL16Mv78/gYGBrFmzhoyMDFJTUxUbU4+1FhYWJCYmsmfPHvbs2cOAAQNo3749zz//PObm5tja2jJt2jTefvttEhMTlb2t69ev88033/DBBx9IGyxDFLcwVyD8ZIMGDZT5prArnU6HTqcjJiYGb2/vIv184hyiyLHpvDEgIIDU1FSsra1lgrskGzmJJky7QJmZmWFlZaUk+pp27JE8XohCfKaFANQIH1RaAl0zMzPi4uLYvXs3lSpVomPHjri7uyv+Ue3n1X+bmZkRFBTEa6+9RmxsrCaG4OzszDPPPKMUO5Zro9JB3MORI0dy+PBhDhw4oKyJc7JFU4GueD6/Al1Bhw4d+Pzzz5k9eza3bt3SxKaETQUGBir73L169SqUYEcKcx8vHiTQFfe1LAp0zczM+P333zWiS51Oh42NDenp6bz77rt4eXkpxWkljx9yrinJidLuSmqKqUB31qxZuQp0g4ODpUC3HJNX/AhK3jbzEugaDAZlnzMyMpIZM2ZIga5EIpFIJCqkOFdSJigJga65uTkxMTG88847REdHKxNYUeVcTBz9/f0B+P3335X3qoVkIthoWgHRysqKhg0bsmjRItmJpwRQC3PHjBlDUFAQ5ubmhIaGEhAQAIC1tTUuLi64ubnh6+uLs7MzLVu2xN3dHQ8PD1xcXHLcEFYn/QhxluliJz4+voQ+acEFuidOnODdd99l8eLFVK9evcSuU1IyCFvIy+89aPEtnnv66afZu3cvISEhStA6MzMTS0tL7ty5w2uvvcby5cupXbt2oRb04vf0+++/K9UI4b4osmLFikoinqT0UW8kPmwCpLCVfv36cejQIU6ePJltszw0NJTt27fj6+tL1apVSzVouHPnTuLi4jRipcqVK9O3b1/lmiUS4XNr1Kiheby47OPw4cOcO3dOsUvRPcjX1xd7e3sZaC8DXL9+HUARtQhbGDFihNJVuSgwXQv9/PPPSte71NRUzcYzZG2mHzlyhM2bN9O2bVu6d++udB0TqG1X+rnHA1MxpF6vp1atWoUa84sC9Zw2KSmJ0NBQPv74Yy5duoROp6N69eoPFOdC7gJdsc6H+8VD3NzcsLKyKr4PJNGQnJxMUFAQX3zxBZGRkdy+fVu536ZiBHGf1H+ruz3cunWLW7duceTIEdq0aUOHDh2YOnVqiXaOzC/qogfr1q1jzZo1ABoxqOiaO23aNOXfZeX6yytXr15lyZIlJCYmZhs7RfLF3LlzefbZZ5UOzaadn03vkel8TK/XY2dnx6RJk+jZsyc//vgja9euVWJKIqlCLfrasmULtra2zJo1Cysrq1xtwczMjIyMDN5++23Onj2rEYmJ16enp/P7779rkozUWFpaKmJK9XvF5/Tw8GDu3Ll06dIFkHZZUhiNRo4dO8bPP//Mzp07lceFzxB2I9YEoaGhhISEcOLECVq3bs0rr7yCh4dHsawR8hLmqhNzAfr37/9AYa4gJ4Gu+JxiThIVFYW/vz/jx4+Xgp5yiPAtTz31FBs3biQlJUUzbzt79ixAsd/7Bwl01fs/QiAhE9IfTXIT6KrHuqIQ6ArEMYVdtG7dmtatW/PEE09w/vx5Nm7cqBShUftT4feFz//pp5/Yu3cvO3fu5JVXXsHHx4c2bdrQqFEjjh49qpxHdNsLDQ3Fx8dHjuFlgJIS5kKWHYsiqOoCLGI+URwFqoSNNW3aFGtra8V3irlBcnIymZmZ2NnZFfm5JeWD3EQTIhEdICMjgzfffJMPPvhA2bORPu7xRewxqm3E1dU1x5yi0hDoJicns2fPHlatWoW5uTnNmzdn4sSJ+Pr6Ym1trfHz4u9r164REBDAsmXLNMJcMVY0bdqU/v37l2gHYEl21ALcTp06cfToUaUwpMDZ2ZnMzExSUlKUuIuIP/3111/K6/Ij0FXTvn17Fi1axJtvvqnpoKsW7Jw7d04pKvSwAt28hLlyHVR+eVQFuqNGjQLQCHQBJcbbs2dPKcyVyLmmRMODxI/CH0LJiB8FwiabNm0qBbqPKXnZptArlIZtSoGuRCKRSCQPhxTnSsoMBRXobtmyBTMzM1544YV8C3TPnTuHhYWFknin7qZjmqBumqgGaBIyxETTaDRSpUoVunTpwiuvvEK1atWK4+uRqFBvSIwePZpTp04pgWF14oLotHDr1i2CgoKA+0nber2eqlWr4uPjg5ubGx06dMDNzY0GDRpQqVIlzcKlZcuWODs7k5ycrKnGGhgYyIQJE5QgdXGTH4GuCIqLgH9Rd2yTlA2ED8rIyCAsLIzbt2+TmJiIra0tDRs2xM3NLd+Ja02aNGHq1Km8/vrrmm4+Igno2rVrzJw5kyVLllCnTp1CCTdOnz7N+fPnFeGn+J1269ZNSdyQAaOSx/R7N+1cZkp+i2EAuLm50a5dO06ePKlsPqo3Ig8fPsyyZctYsGCBkjBUUgm36s8REhKiPC7GFldXV6Xiv0QCBRMvFnbDJiMjg3379nHz5k1AWwXx+eefV7qdSkoHg8FASkoK//33n/KYujp6/fr1NRslhUEcIy0tjX379vHPP/+wZ88eTeEg9RxRJEaYmZkpdnP06FGOHj1KcHAwEyZMwNvbW24oPoaEhIQQGBgIaH1Uw4YNS13sIq7l5MmT/Pnnn/z+++/KphPAd999R+fOnWnVqtUDj5WbQFen0ynCiwEDBkg/WkKcOXOGvXv38sMPP5CcnKzEdNTxFSDXjidqka6pb/P39+fkyZMEBAQwbNgwWrdujYuLS5lZU4jPuGnTJhYuXAhkF+ZWq1aNgQMHKv+Wvrl4SUhIYPv27Vy8eBFAEa+Kom8AK1asoHv37pr3FdSeRGzG0tKSWrVqMXv2bLy9vfn222+Jjo5W1jymnb3XrVuHvb0906dPz7MjdGBgIDExMYC2cBdoY5bi9yLmBiLGafqbEr8zR0dHWrRowZQpU2jZsqXm+JLiRa/X891337F3714uXLgAoInNCKGW6HynvsfXr1/n+vXr/Pfff6xatYq6desW6bXlR5grYqUvvPACCxYsUD5TfuYXOQl0LSwslM/auHFjli1bptiytMfSI6dOX0WFk5NTtv0ZCwsL4uLiivQ8eZGXQNfU9mRC+qNNTgJd4dOKsoOuGtNCMg0aNKBBgwY8//zz7Ny5E39/f/bs2aPYlWl83mAwkJqaytGjR7l69SqNGzdm5syZjBs3ThGFiPnAhQsXOHnyJD4+PtJnljIlKcxVY29vr4ylwi70ej3Ozs5UqlSpCD5Zzri5uSnCXMiai969e5eQkBBatGghx3JJruQmmhCYm5uTnJzM3LlzsbCwoHfv3gUStUnKD7dv385WtNzGxoauXbty8uRJwsLCSlWgm5mZyX///ce2bdu4e/cuAAcPHuTff//l6aefpmHDhrRo0QIXFxel4Pz169f5/fffiYyM5N69e9mEudWqVWPOnDlKMXlJ6SLsql+/fvzwww9cvXpVsUcAOzs7mjdvzsmTJ4tNoDt79uxsAl1x/HPnzrF+/Xqg4AJd2TH38eZBAl21MKwsC3TF9UoblaiRc00JPLhjbmmJHwXC5po2barEraRA9/GgrNumFOhKJBKJRFJwpDhXUqYoiED3+vXrSgfd/Ap0u3fvjqWlJdu2bWP//v2aAA1kJYUCmoQQEeAX1ygERkajkWbNmtG3b1969uxZrJubkvuI4K9Op2PUqFEaYa4IfIv7Je6rOgFCr9ej0+mIiooiIiICQOlKUaVKFapUqULdunVp2bIlnp6eeHp6YmdnR2JionJsQEkQUm+SFDcPEuhaW1uTkZFB06ZNWbduHVZWVnIBXk4Q9zEjI4Pk5GQ2bNjA2bNnNcIggOrVq1O1alXGjBlDgwYN8PLyAnJOqhWP9e7dm8jISJYsWaLxiSK4c/nyZSZMmMA333xDgwYNHur6jUYjf/75J2FhYYBWaNapUyeg4EnPkqJBfO+xsbFcvXqVU6dOce3aNcUGmjdvTpUqVZRN6/xusIjNwPHjx7Nv3z6CgoKU4Ix6I3Lnzp04Ozvz9ttvK4+VlD8F+OOPP/j999+Vx4VdDh8+HDc3t2K/Dkn5RNhXTEwM9vb2ODk5FWgD5/vvv1fmuOpg64svvpiv7pGS4sXc3BxLS0tSUlIANJXRnZyc6NSpk0Z8VlDUtpKRkUFUVBSffPIJwcHB3L59W7kG0XVPJMkLxN9iLSPG3O3btxMbG8vEiRNp0aKFHHcfM0TijLpYhunzpbXJbDQauXfvHkuWLOHUqVNAlu8T89L9+/fTqlWrfM0TchLo1qxZkyFDhjBgwIBi6RYkyc6vv/7KunXruHLlChkZGTnGXYSPEvYo/JK6+JRabABZ4kPx35EjRwgNDaVjx45MnjyZ6tWrF+kauCDHMv0drV27VkkCUn9+8e9OnTrRuXNnQHYwL07EPbx69Sp//fUXqampmu6cYp61atUqunbtWiTnNO2UN2TIEDw8PNiwYQMnTpwgMzNT05VR+LyVK1dSsWJFRo4cqVyjqW34+vryySef8M033+Dv76/p6Ct+J+I3JT4boPktqZNDRbJvnz596Nu3L7Vr1wakMLek0Ov1fPzxx+zdu5eEhAQAZaw2LVaQU8xa+NHIyEhGjRrFihUraN26dZGsq4tbmCswFeiKhI6mTZuyceNGbGxsSqwwoiQ7UVFRREdHU61aNTw8PLKNiUVRlKhmzZq0b9+eAwcOKMfU6/VcuHCBK1euFLnoPDfyEuhCVjFXmZD+6OPj48OXX37JzJkzCQoKUvyLqUBXCHmKQqAL2vmeXq/H1taWYcOGMWzYMJ555hmOHz/Or7/+qoh51AUuxe8sNjaWAwcOcODAAaZMmYK3tzcRERGKqFcU/Gjfvr2yLyApeUpDmCvs6/jx45p5n5hXiAJVxTXHc3Nzw9XVldjYWGVs0Ol06HQ6rl+/TosWLeTcUpInD+pqJkQTH374IYAUTTymREZGAijrEKPRiKurK7NmzeK3335j48aNhIaGlppA99KlS3z33XeEhIQofl0Uqv7777/5+++/sbOzUwp6paSkaGK0InYk3lOxYkVWr16Nt7d3sVyv5OEwGAxUqFCBadOm8f7775OcnKzxQ7Vr1yY9PR1/f3/FlxWVQLdDhw45CnTVRdnOnj1bYIGuFOY+upgWvTRdcxQkPvMoC3TNzc357bffyMzMpH///nz22WeAtFFJFnKu+XiT1xpdnUsBpSN+FAiba9Kkieyg+5hQ1oW5grwEuupCxFKgK5FIJBLJfWRWg6TMUVwCXfHerl27Ur16dVq0aKGI0SCr6rlIcFd3IlBXbRevd3Bw4JlnnuG1116jUqVKSmcfSfFibm5OZmYmY8aM4dSpU0pAUV1VXGCamCg6L4jHRHKDeDw+Pp5bt25x/vx5RbDbsGFD7t27l+0aEhMTCQ4OpkGDBjkGNYW9FXWwJieBrpmZGYcPHyYjIwNfX1/8/Pxk8lo5Qixob9++zZYtW/j33385e/asYlei66xOpyMmJobIyEiuXLlC7dq1eemll+jWrVuONqi2pSFDhhAdHc3mzZuzCXQtLS2JiYlhxIgRLF68mNatWysdRfO74F+/fj3r1q0DtMGDESNG0KFDh6L6qiT5RN1hKTU1ldWrV3Po0CHOnz+f7bV//PEHAI0aNcLLy4tXX30VDw8PHBwcNMcyRRRIsLe355NPPmHatGlERUVlq56m0+lYv3499vb2vPrqqyUq0I2IiGDXrl0Ayqaj6GAhA0WSwuLv78+OHTtwcHBg+PDh1KpVS3lOJFiI+YcYq5OTk9m6dSuLFy8GtEKeGjVq8OSTT5Z6h0vJfZKTk0lMTNT4P/U6ojCok4b+/vtvfvrpJ27duqWMt8JPql+b0wah+LdI/tTr9Rw4cACDwcDMmTNp2LBhoa5T8miRkJBAenq60m1Z2Iy9vT1QusJAMzMzHB0dmTBhAtOmTQO0InOj0cj+/fuZNm1avjveCoGuXq/Hz8+Pp59+moEDB0phbgkhxjIhLFD7LVHsTDymFg+K5EPQigrFc5BlG8LHmZmZERkZya5duzhz5gyLFi166IJCgqioKOLj42nSpEm+NzfV89eQkBC2b9+uJMKpx3MRU6pfvz5TpkzBxcWlUNcqeTDC5r744gvNekRtb/PmzaNr165FHr9RxzeffPJJHBwccHR0ZP/+/WRkZGh+B2JttHjxYqpVq5brOt7e3p6OHTtSr149Fi1axJ49e5T5hzqRVyRriGOIv9VxTVGM6f3338fHx0dZ54MUjJcEOp2OadOmKYJEQDPXz813mnZMFmvrhIQEpk+fzsaNG6ldu3ahEjRKSpgrEALdhQsXEhgYSKNGjaQwtwwQFhbGkCFDSEhIwNPTEx8fH7y8vOjSpQsVK1ZUhFamfuZhbE8U11AXEbC0tFTmEiVFXgJdKcwtX3h7eyudSHIT6J47d67IBboC4SvF7+a5556je/fujBo1ivXr13P+/HmCgoIUXyvGePVY/vXXXwNZY7Z6DyE8PFyKc0uJ0uqYK7hx4waQFScS84WePXvi7u5eZOcxxd3dnerVqxMTE6PZTzcYDMTExBTbeSXlCymakDwIka8h5qAGg4GMjAysra0ZMmQIOp2OLVu2lEoH3cTERN5//32Cg4OV/BORqK7+d0ZGhqbYkroQh4iD6vV66tSpw1dffaUU0JKUHcS4Xa9ePby8vLh48aIyxkdHR+Po6Mjbb7/N/PnzOXXqVJEJdMXzuQl01YKds2fPKnkZDxLoSmHuo4k6Ni4wMzMjMzMTc3NzLCws8sxhy41HVaAL9/fAKlasKIW5klyRc83Hk7zW6KDNAy8q8WNhiiUIm2vatKkU6JZzHmSbZUWYK5AddCUSiUQiyT9mRnXZdYnk/1EvFEpKJGOKusLfsmXLFIEuaDuhGo1GatasyfDhwx8o0DV9PDAwkG3btnHq1Cmlo6NATHjVSU82NjZYWloycuRIWrZsyZNPPlmM34AkN3777Td27NjBrVu3SE1NJTo6OlvyLty3E7HZod6MViex5RRMUSfAidepK+WLx0SX0urVq9O6dWucnZ1p1KgRFSpUwM7OLptgW5ynKH5T6ms+dOgQy5YtQ6/Xs2XLFpm8Vo4QthIZGcnbb79NUFAQ9+7dUzbrTJPTIStpU/DBBx8wdOjQBy7OQ0ND+eabbxRhujqJ3NLSkszMTGxtbRkzZgzdunWjWbNmynvVGzc6nU6x/fj4eLZu3cqyZcs0xzQajXh7e/Pee+/JLpAljBhbk5OTOXz4MD/88ANHjx5VfKGVlVW2ruOiYqDRaKRy5cq88MILPPvsszRu3Bh4cMX91NRUNm3axOrVq0lMTFQCh+Ic4nyvvfYakydPBop/7qHX69m+fTtffPEFycnJmuTiCRMm8OabbxbbuSWPFg9TbCM0NJS1a9eybds2zMzMqFq1Kq+88gqNGzfOVTD022+/8e+//2YTjItN76lTpypFaySli16v59atW/Tq1YvU1FRNMrqVlRU//PADDRs2LNBGnTqIrtfr+eWXX1i+fDm3b98mLS0tW8dJ08JB6jmBep5r2pFSHKNv374sXLjwoZPnJY8ef//9N9OmTcvWPUe9mVPa3L17l48//lgjNBPJ5xYWFixdupRu3boVyB+L7tNubm4a0Zmk+FB3i1ULwU2LF1SsWJHq1avTtm1b6tWrR8WKFalWrRqpqancvHmT+Ph4jh49SmRkJBcuXFDel5s/FMd3cHDgq6++UjrSFpTY2Fg2btzI7t27GT58OBMnTlTOoV7zqJPT1OOAn58fBw8e5MiRI9muV/jsqlWrsnbtWmrWrPlQ1ygpOD/88APz5s0DtB124H7BqBkzZlChQoViO7/aTs6fP8+mTZvYs2ePRqCrTqhr3749s2fPzpfQfNu2bQQEBLB7926NqE1to+rPKzb0e/XqRatWrXjxxReLrWuQJHd0Oh0TJ07k6NGj2To5i/soupR6eHhgZmbG5cuXgfvjpZjjqWOd4t56enri5+dH1apVHyp5LC9hrtq+ikqYq0YUOProo49kbLOUCQsLY8SIEcTFxWniJZDlRxo3bkylSpXo0qULNWvWpFatWrl2sM9tzSEeP3jwIK+88gqQVcxKr9crcaKSXrOEh4ezadMmRaArYmUyIb38ERYWphHoChGCOumxadOmTJ48ucgFuqaI86anp5Oamsr333/PiRMnCAgIUF6jtjfTQhzqInCTJk1i5syZxXatkpwpbWHu0aNHGTduHKC1FYPBwIcffsiwYcOK7FxqxBxg4sSJHDp0SJkriHlKly5d+Prrr7GwsJBJ7ZJ8ER4enqNoArLW/o6Ojnz88cf07t0bKL6u0JKygV6vJzMzk4kTJ3Ly5ElNAbeuXbvy9ddfKz7n+++/Z+vWrYSGhgLZc4qaNGnC5MmTi0Wg+8orr3Ds2DFSUlI0xTXE+UEbu1eP4WK+XaFCBZo2bcpHH30kC208Amzbto0PPvgA0Aoodu3ahbW1NR999BGnTp1SBJNiTS3WPM888wyjR4+mVatWQMF82dGjR7MJdAFNDLZp06aMGzeOXr16AdnXL1KY+2hh+r1HRkZy+/Zt9u7dqxToSUpKwtraGkdHR2xsbGjVqpVSZMve3l4Tt8nL3oRt3L59O0eBrjqfrlGjRowcObLEBbqmnyEiIkLxm9JGJXkh55qPD3l1JTUtZFocwtyTJ0/SvHlzJa5YkNi5OM65c+eyCXRBO943aNCAUaNGMXDgwEJfv6RkKA3bVL83NTUVOzu7hzqOXq/nxIkTfPPNNxw7dgzQ5iSJa69evboU6EokEonksUWKcyXZEJOxu3fv5tpZRi1wLM4FaEEEuj4+PgwfPpwBAwbkKdA1/QwpKSmkp6fz888/ExERwfHjx7l9+zbm5uakpaVhYWFBo0aNcHV1pXfv3tSoUUNTpVIuakqPe/fukZmZSXBwMDExMdy4cYNTp06RnJxMUFAQGRkZymvVFaLUQW+x2aHeDBHkJOKFrOC6WgghcHV1xd7enho1aihJxkK46+XlletGz8Mksalt/NSpUzRu3Bhra2uZvFZOEDYRERHBmDFjiIqKytYhD7R2kJNgB2DGjBmMGjXqgaKEixcv8t1337Fnzx4g52RyS0tLatSoQa9evRg4cCDu7u45+sAdO3Zw9OhRfv31V+VYYgPHaDQyefJkXnvttUJ+S5KCIHxgXFwcq1at4t9//yU8PFwj9s5pWmhqU3Z2dtSrV49p06bRpUsX4MEB6fDwcFasWMGff/5Jenp6tkquImHnlVde0XTNK+rxVRzz1KlTTJ8+nbi4OM1mUqtWrfj2229xcHCQQXaJxgZjYmJwd3d/oF0mJCSwceNGVq9erXSpFEn2VapUoXnz5lSrVo2qVatiMBi4du0aly9f5vLly6SkpAAom9/iGgYMGMCnn36a7ZokpcuAAQMICgrSCGEAVq9eTadOnfLtQ9T39MCBA+zbt49t27Ypz+fU/U49xsP9ze+KFStSoUIFrKysOH36NAkJCSQlJWnG8twKIkjKP4cPH+all17SdFwSSTWiknhZ8C0//vgj77//PqC1fYCXXnqJN954ozQvT/IANmzYoIxXOW3EWVlZ4ezszIsvvkjXrl3x9fV9oJ/U6XT8+eefnDt3js2bNytrfHUipjiGKCjk4ODAvHnz6N69e4ESLUVcaMmSJdy5cweA5557jo4dO9K3b99cOzeHhoZy9epVNmzYwOnTp5VrzGkt5eLiwqZNm2TnkxLm9ddfV4T/kBUf8vDwYO7cucqapjhRj+Pnzp1j7dq1/P3330qCpjr+aWdnx7Rp05gwYUKucz91DMlgMHDixAkCAwM5fPgwd+7cITw8XFN0sFatWtja2tK7d298fHzo2rVrjseSFD+ZmZmMHj2aU6dOKb5SPberW7cunTp1YvDgwVSqVEnpsH3t2jUiIyP59ttvCQgI0BRgURe00Ol0DB06lNmzZ2Nvb1+gaytNYa5A/FZkbLP0yElUpl7zqItUqIsDurm5Kd11O3fuTMWKFWnZsiVWVlbZ7MPUZqKioujbty/JycmaGOfgwYOZO3duyXxwE4RAd/fu3SQkJADIhPRySlkS6JoSHR3N6dOnWbNmDTdv3iQuLi5b5zVAI5zo37+/ssaTlBylLcy9desWS5cuZffu3ZrYj9FopGXLlmzcuLHYfJb4LP/73/9YtmyZRpwE0KJFCzZv3izj7JICIUUTElNSUlLo27dvtg7hYl0i5pelIdBV+3Q/Pz/27dvH0aNHledFfMg0zm9hYaEk4BuNRpo3b86zzz5L7969qVKlSqGvS1J8iHuYmJjIrFmzOHLkiGZNLtYNp0+fZunSpQQGBhaZQFf9fG4CXfVcIDeBbl7CXNO1n1wHlS6mNnHgwAHOnDmDn58fer2e1NRUzetN1+oAderUoWrVqkyZMoVq1arh4eHxwPM+SKCrzpUrKwLdnP4tkeSEnGuWf0pbmLtr1y7efvttnnrqKZYvX674TynQlZR2N+dffvmFS5cuMXToUDw9PR/qeFKgK5FIJBJJ3khxrkSDegI4bdo0XFxcqFevHq1ataJSpUr4+vpibm6eLSmxOBNmilOgK96rfk1GRgY6nQ6DwUBGRgbm5uZKIpSk9MlNiCgQi9mQkBBFpHvx4kWio6M5e/YsRqORxMTEbMcVXUry02nXFLF4FhvtpsFOOzs7MjMzqVmzJl5eXlSrVo22bdsqvy8nJyfl3Dl91rwW6KbfgVxglw/Efbxx4wajR48mKipKI6YQdmEqEFd3p1J3TgGYPHkyo0ePplKlSnmeOzg4mO+//z7HDrqmXXm9vb2pWLEibdq0UZI+r127xvXr1wkKClKuzbQDpDq5TtpsySC+55s3b/LBBx/g7++vdHw0FXvnJHYQvkYtpK1cuTIffPAB3bt317wmN86dO8e8efM4d+5ctteqA4fF1blWnDMkJIQJEyYQHR2t2USqWrUqM2bMoE+fPkq3Ccnji9o3rVu3joULF7Ju3To6dOiQp9/asWMHn3zyCampqZoguzopLSfE/MG0mvrzzz/PF198AUjhRFkiIyODiRMncvz48WyJsZ07d+bzzz+nYsWKeR5D7QczMjJYtGgRhw4dIiwsDMjeHTKn5PcePXrQuXNn2rZtqynAERUVRWRkJHPnzuXKlSsafybs0dPTky+//FIGwx8TgoODGTRoEEajUbPW6dixI2vXri3ty9Ose8aOHcvJkyezdfnt2LEjq1atwtLSUs4dyyDbt29nzpw5QM6i1AoVKjBgwACeeeYZJdkMco8lqUVngnPnzrF9+3b+++8/bty4oekKCmjWP3Z2drz//vv06dPngYmWwv6OHDnC22+/TWxsLNbW1orI1srKCm9vb9q1a0e9evWoUKECRqORq1evEh0dzT///IPBYFC6WaoTLiFrnlutWjVWr14thbkljLqDmHpz2Gg0MnLkSKUgQEmgHvv9/f1ZtmwZAQEBGr8sbMjNzY2tW7fi6emZ6zorp8d1Oh3JyclER0crG/oGgwEfHx+MRmOBxZqSokUtzBVJryIpFmD06NF0796dtm3bKu8xvc86nY4lS5bwxx9/EBUVBWhjlUajkdq1a/P555/TqFGjfMdc8hLmirlucQtzJaVPREQEQ4cO1SSsqTEt1iri2aYxcfG6unXr4ujoyJNPPkmtWrVo1qwZ7u7uyvHEsTIyMpg6dSqHDx9W7Emv19O2bVu+++67Upv/hYeHs3nzZtavX89zzz3Hl19+CchYZnkkJ4Guel+opAW6pjYWExNDREQE3333HefPn9fsj4qYhBROlB55Jf0K31i5cmXWrVtHnTp1iuXe/Prrr8yfP587d+4oaxEzMzPs7e15/fXXGTZsWLHbxM6dO3nnnXeU3434Ldnb27N161bq1KlTbOeWlE9MRRPq9ZwUTTw+iHvq7+/PuHHjlNim8K9z587lxRdfVMZr4QNLWqCrXhdFRkZy4sQJ1qxZQ2xsbI55KWpatGihXI+Tk1OJFgKRFJ6VK1eyfPlyTbEUd3d31q9fT82aNQkMDOSrr74qcYFuXh10MzIyFAGlFOaWbcR3npaWRkhICGvXrmXfvn2KIFedgwNZXboh5/V6pUqVsLW15YsvvqBly5YPPP+jItCVSB4GOdcsv5QVYa7g2WefZfHixcr+ZUHy68Vxz58/z8yZM6VA9xEnL2GuaY5vcdjm7t27eeuttwB45ZVXGDBgANWrV3+o4+Ym0BX7nVKgK5FIJJLHGSnOlSiIiVx4eDhDhw4lPj5e87y5uTm1a9fG3t6e9u3b4+XlRcOGDalbty7m5ubZFg/qzevCLk6LW6Crvl7TpCJ1lWzIWZwpKRuo73VOC5PY2FjS0tI4d+4ckZGRREREcP78edLS0rh27ZrmtWqhhbAL9aLWFNNEOBG4yS1JSVCtWjVcXFzw8fGhcePGODs707x5cxwcHHLtSAoy+a08I+w4NjaW6dOnc/r06WwCL+Fba9asidFoxMrKimvXrikbJTklxANMnDiRsWPH4urqmuc1REREsGXLFkWsoQ5Eqo+ZU/do9WtMq/gbjUZ69+7N4sWLAWnHJYXwhxEREUydOpUrV64A2qIEufko8ZipDcD9++nl5cXcuXPp0KFDvq7l2LFjfPjhh4SFhWUbT9Xi7wEDBjB16lSqVq2qnLsoAodBQUFMmzZNI3iH+99Fnz59eOedd2RBjlKiKOeNhUVtb5s2bWLevHnA/U3O7777jvbt2+dok5cuXWLIkCGkpaUpAm/TAgo5FRnJqZq1lZUVQ4YMUQQjsnNU2UHct+3bt/Pxxx8DaMTXHh4ezJgxg169emFjY5Pj/FQ8FhUVxX///ce2bds4e/ZsNmEOoNiS+LePjw9NmzZl5syZuLu7a8ZR03E1MTGRN954g0OHDuUo9v34448VwWZp/+4kxYfRaCQ4OJiBAwcq6xNha7a2tqxZsyZfiRglcZ0ACxcuZP369dm67VSvXp0dO3bIcboMcvDgQebOnUtkZKRmzig62bq6uvLpp5/SsmVLnJycgIInMYjXJyQkcPXqVZYsWUJgYGC2Tn7qzUt7e3sWLFjAs88++8Djh4WFMWzYMOLj47N1mDa1RTXquIE6CUot5DA3N6devXosXbqUmjVr5vszSwqHGHO///57Fi5cqKx5hA+sVq0a3377LbVq1SrRJAW17f/zzz988skn3Lx5U7Ez9ab1s88+y4IFC/ItqM3tc6gfl2N+6aHT6Rg1apRGmCs6JQF89NFHPP/880rBlZzupzoJfc2aNfj5+REbG5vtnhqNRsaMGcM777xToGtUF8mQwtzHj/DwcPr160dqaqpSpMLKykqzhjBdt6v3S8S4qU5KV3d2NhqNuLu74+XlRdOmTWnfvj2enp5K0Yo1a9bw+eefK8czGo1UqlSJnTt3agS9Jc21a9e4cOECffr0AWRiW3mmLHfQVXP8+HGOHDnC1q1bSU9PJz09HZCdnUsL4Q9DQ0MZPXo0t27d0iRWwv3ivV9++SVPPvlkkZ5bjMMXL17klVdeISoqSrMno9PpqF27Nl9//TU1atQAUMZz4atFocCi4NSpUwwbNixbodY+ffoo/l0iKShSNCERqOeKAktLSzZv3oyvr6/ymHrsLmmBrqntxcTEkJKSwp9//kl0dDRhYWEkJibi6uqKg4MDjRo1okmTJkp+iOTRQl1oaOjQoQQFBSmFU0RMZ8mSJVhYWHDmzBkllllaAl1fX1/Gjh2rCHR1Oh3jxo3Lcf0vhbllA/Gdx8XFsXXrVvbt20dQUJBy38V621SQq77/wk7U+SDe3t6sXLky34VTpEBXUp6Rc83yR2mLH9XCXBFXNRgM9OrVi4ULF2JlZfXQn+n8+fPMmjWL8PDwXMf7+vXrM2rUKAYNGlTozyUpWsqaaNzW1pZx48bx4osvUq1atYc6vhToSiQSiUSSM1KcKwFyngBaW1srlX1FUMc0kGNnZ4ebmxvVqlWjY8eOVKlShXbt2mFra5utO2NhRa4lIdCVlD8etEi5d++ekrCemJjIxYsXCQoKIi4uTun8aSqsUaMOcAI5BjvVohux8Q25d9oVCed16tShRo0aeHh40LZtW5ydnaldu7aSICUrp5ZfUlNT+eqrr9iyZYvSsUnddapnz5506dKFNm3aYGlpiYWFBf/99x9nzpxhzZo1SpA8J4HuSy+9xNixY3Fzc8vzGoxGI5s3b2bBggXKe3MSaIrHxeYRZHW6Up/X2tqaF154QSNkkkKz4kddeGPcuHEa0YRpN08fHx9cXFzw8PAgOTmZsLAwYmJiFBtU2xRkibvatGnDO++8Q/369XO9DvU4fOjQId555x1lDM+poyNAhw4d6NevH927d9eM5QUtugFw+/ZtTp48yaeffsqtW7eyCd4bNWrEsmXL8PT0zO9XKykEOY3Nar9lmuBdkkHj3IS5dnZ2SiXi77//nnbt2uVoi4sXL+bIkSMEBQUB2bufmiLer7b9unXr0qtXL6ZMmQLIpPeyysmTJxk9erSmKAvcv8+NGjXipZdeokuXLjg5OWUb82JiYrh48SJLly4lJiaGhISEbB0ggWx+ul+/fgwYMIBmzZpha2ub529D2E1iYiKjR4/m0qVL2fx/w4YN2bBhgyKWk5RfkpOTGT58uNJJWS0inDdvHi+++GIpX2EWAQEBjB49GkAjUq9UqRI//vgjHh4epXl5EhOuXbvGkiVLOHDggCIshCz/VblyZVavXk2DBg2K9LwGg4H33nuPffv2KR1I1GtrscHu4ODAihUr6NChQ67jqdFoZMOGDYrYzHTOKxDxKHXRBLUIN6fEKFdXV9q3b8/MmTPlPLMU0Ol0jBw5ktOnT2uKYxgMBpo1a8aaNWs0nedLCrW9bN68mblz5wLZO/v6+PiwcuVKateuLZMoHnFy6pirFuYuWbJESZB9EMIW9Ho9c+bM4aefftLE7sWc0tfXl1WrVhWoqMWcOXPYvn17to45Upj7eHD27Fm2bNlCeno6Fy9e5Pr165pkGjF/VBdQM+0uCnl31zUteFG5cmUaNmyIr68vBoOB9evXk5qaqiTL2drasmnTpjzjTSWJ9MXln7Is0DX1u6dOneLs2bP873//o3379nz11VeAtNPS4O7du3Tt2pV79+4p8UNTv/nSSy/Rr18/atWqVSTnFD41JiaGMWPGEBoami0GaWtry+bNm2nUqJGyn5iamorBYMDBwSHXY6vnzAWxpaSkJJ577jmSkpKU306/fv1YuHCh5rgSSUExFU3klIguRRPlF+GLZsyYwd69ezVrHx8fH/z8/HB1ddXc79IU6IpjP4z9Sbt99BC2tmnTJr744gulaIoobv3pp5/SunVr4P56a/HixXkKdHv06MGoUaOKVKCrLgrcpEkTpk2bRteuXRk9ejQnTpyQwtwyivjOo6KiePfddzl79iwpKSnK+lodj1avt4FsAkOBmZkZNjY2jB07lpdffhk7O7t8X09eAl1xbCnQlTyqyLlm+aGsCXPFuaysrMjIyNA0MnnYzyYFuo8mZck21fMFJycnBg0axOjRo6latepDnUcKdCUSiUQiyY4U50oUrl+/zpgxY3Ks7AvaxAoRxMupg4ibmxvW1ta0aNECb29v6tSpg6+vLw4ODlSsWFHzWtPuUQ9CCnQlRUFOAq+c7CMsLIykpCSOHz/Oxo0biY6OztbRTNij+C2IqtDqhErILuIVjwlMF805JT7p9Xrq1KmDTqdjwoQJZSqJXlI0CB939epVZs2axeXLlzWLVVdXVz777DOaN2+eq5Dm2LFjvPHGG9mEjw8j0IX7nbC2bNnCqVOnSExMVGw9J2G5OJ96IwDuV2N97rnnGD9+PCCTOEsKdYBnxIgRxMXFZROl2tnZ0aBBA/r160e3bt1wc3NT/FpKSgr79+/n4MGD/Prrr0B2X2UwGLC3t+fVV19l7NixeQaH1H724MGDfPzxx9y8eVPZfMxpo7By5crUr1+fd955Bw8PD03ikHqjSd0J0FQEd/z4cf744w9+++03xYbV30HVqlVZt24dPj4+RXsDJHmSlJREREQER44cIS4ujvDwcOB+cLpOnTpUqlSJjh074u7urhFNFOd8Lq+OuTqdTqlcCLBx40ZlUx20fu3gwYMcOnSIjRs3Ks8LuxOCHjFXEF0FBePGjePJJ5+kffv22Y4rKXssWLCA77//Hsi+FvH29qZly5aMGjWKihUr4uzsTGRkJHv37uXYsWMEBgYq8z11Z13TcdvS0pLWrVvz3HPPMXToUOXc+fktCPsJDAxkypQpJCYmauaylStXZtu2bVSpUqU4vh5JGcJgMDBx4kSOHDmSbT3j5eXFunXryoRw0GAwEBYWRt++fZVKsQJROKZFixZyXV8GEGPmDz/8wGeffUZqaqqmGJVOp8PNzY1Nmzbh7e1dpJu/6rFxzZo17Nq1iytXrgA5b/g5OTmxZcsW6tSpk+t13Lx5k3379rFixQru3LmTrXtuTut5gWn3Xrhvrw0bNqRnz54MHDgQV1fXIvnskoKRkpLCCy+8wI0bN7IJF9977z1GjBhRarFCtS1+8sknyrxRnWAHMGHCBN58880Svz5J0fEgYe6KFSvo3r17gY4p7Cc5OZkhQ4YQEhKSbcy0sbFh27ZtBRI1RkRE8MYbb3DmzJls6xYpzH28uHv3LpGRkURERHD48GFu375NYGAgGRkZJCcna14r7FpgOm7mVGRNjNG5ja/qeP2cOXMYMWJEcXxMiSRHchLoqveTSlOgC9ljAcnJyXl2XZeUDKtWreLLL78EtMV+RJzbwsKC0aNHM3ToULy9vQt1LhErSkxMZPjw4YSEhGi6l4nzDh06lFatWnH+/HlOnDhBZmYmd+7cUYoIWVtbU6VKFerUqUPFihVp3bo1zs7OeHh4aLr55GcfX6/Xc+/ePQYMGMCNGzcA2c1ZUrTIrmaPN5GRkfTp04eUlBTNmnnAgAF8+umnOb6ntAW6aoQtqgtqi3NL31g+uH79OuPHj+fmzZua/DnTmE5ZEOg2bdqUlJQUZf4ghbllD/GdR0REMHnyZEJCQoCswleAJkdHFIext7fHaDSSmpqqxMjF/21sbEhPT8fb25tvv/32oeajsoOupDwj55qPPnl1JQVKXPwofKO4Bjs7O77//nt8fX0L/RmlQPfRoqwJc8W5bG1tSUtLw9nZmZ9//hl3d/eH/oxSoCuRSCQSiRYpzpUA9zdw+/btS1RUFHZ2dqSlpWUT5qpRT+whK4itrt6vfm+FChVwcHCgXbt2VKlShc6dO+Pu7k7lypVzrciW2yRTCnQlxUluHfvGjBnDyZMnNUlDlpaWjBgxgjNnznDz5k1iYmI07xMLDXVirzieafJRfjrtGo1GRaC7Y8cObGxsiu17kJQuc+fOZfPmzdmEuatXr6ZRo0a5vk/YUHBwMB9++CEXLlzIsYMVPFigq/aXUVFRXL58mWXLlnHjxg2SkpIUWxUiSBFcUgvVLSwsmDhxIl26dKFZs2bK62QSZ/GTV4BH2IGzs7Nyf9QJu+rEdcGyZcv43//+B5BjMLpKlSps3779gQEb003Czz//nCtXrpCZmampeC3GeWFnzs7OtG/fnu7duytzibzQ6XQcOnSIU6dOsXHjRjIyMjSdWcV1u7m58f3331O7du2H+p4l+UN938PDwwkODmb58uXcuXNHmcPlhLu7OxUqVGDUqFHUrVuXFi2a06FGAAEAAElEQVRaKM8VdQD5QcJcQAmeW1pa8vPPP2frdmF6TceOHeP333/n+PHjREdHk5aWlu28FhYWeHp68sQTT9CtWzc6dOhQbJ9Rkh3TBMP8rhXE644cOcJnn32miMKE0FYtqrG0tMTOzk7Z/L57965yHNPujKbvtbe35/XXX6dt27bUrVtXc80FISYmhpdffplLly5lS/hYtmwZPXr0KNDxJI8Wwma+//57Fi5cqBRQEfbq5OTE+++/T58+fcrEPM1gMNCzZ0+laAPc/21YWlqyY8cO5bcgKX1u3LjBwIEDSUxM1HTR0+v1uLi4sGLFClq3bl0sdqU+5o8//si2bds4e/YsgGZOKcbxJk2asHz5cqpWrZqrr09NTeXChQu8++67GvtTJ6eZFvdSi93VIqPnnnuOV155BS8vL2xtbYv0s0vyz6lTpxg2bFg2wSs8nCCyqBG/meDgYObMmcO5c+c0NmUwGKhfvz7Lly/H09NTxjMfQXQ6HaNGjXqgMPdh4tViXbtgwQL8/Pw06xYRj1mzZo2moNCDjmdhYUFUVBSvvvoq58+fV+KaUpj7+KDedzFdc0RGRnLv3j0CAwMJCQkhNDSUc+fOkZGRQUpKiua16sJ+psJG9f/VcXB1oQt1XGj8+PHMnj27xL4DiQTyJ9D19fVl0qRJpSLQFah/qzKGVPqsX7+ezz77DCDbuCx8YmEFuvkR5sL9NbSjo6MmBpVT4QQ19vb2WFpa0qRJE2rWrEnDhg1p2bIlLi4uVKpUSfNaU38u7O+1117jjz/+oH///sp3IW1TUlTkJJpQFz6Uoonyy9GjR3nvvfeIjo7GYDAo+zTz5s3jxRdffGBOUVkQ6ErKL8LP7Nixg/feew/IGvvt7Oz43//+p9n3KwsCXdDGO6Uwt+ygLuQ/duxY4uLilHW1afy5R48e1KhRg65du2JjY4OTkxN3794lPDycyMhIfvvtN5KSkoiKilKOv3btWjp27PjQ46MU6ErKM3Ku+ehS1oS5prlFtra2+Pn50bRp00KPrQUR6DZq1IgRI0YwcODAhz6fpHDklbcJ2hze0hCN29vbs27dOiWftzBIga5EIpFIJFlIca4EuN9NYtu2baxcuZK7d+/m2BFXYFqJXzxmuhmXV3ddS0tLzM3NqV+/PnXq1MHHx4e2bdtib2+fraK/upqkSP4Rf0uBrqS4EQHGd955h507d2pEFLa2tixfvpyOHTty584dzp07R2xsLEePHiU2NpbIyEiio6M1iXcCtYBRJHcA2TbE4b5NiyT6pk2bsnHjRmxsbGRCXDnEaDQSExPD+PHjuX79urI4rVChAp999hndunV7oA8Ti/SQkBDmzZtHQECApvPYw3bQhftjhb+/P//99x+BgYFcuXIFMzMz0tLSlIBPjRo1cHNzo1evXvj6+tK4ceNs1yYpXvIjzBVdmNu1a6dsNOdkW+rHvv32W5YsWQJoBbrimNOnT+eVV14p0Cbh6dOnWbt2LcePH9d0tVWjtlmAWrVqUblyZRo0aICPjw92dnbY2toSHx/PvXv3OHfuHOHh4YSFhZGamgqgdP1R+9v69euzdOnSbAJLSdGivt/79u1j69atBAQEcO/ePU0RC1GAwsLCQumALJ63trbG1taWoUOH0qNHDxo1aqTpPFFYCiLMdXFxYfPmzdSqVStf5zcYDGRmZnLx4kVCQkJITEwkNjYWNzc3XF1d8fHxoWHDhrLgRikg7ntUVBRHjhyhZ8+eD7VWWLZsGWvWrCEjIyPbc8KGhd9RV6tWJ/eqz2cwGKhatSqNGzdm+vTpmrVRYdYxCxcuZN26dZoOjwaDQUlikpR/Tp48yahRo4CsIkBibGzatCmbN2/GysqqTMzX+vTpo4je4f712trasnv3bry8vErxyiSC9PR0Fi1axKZNm5TxUvgXOzs7Zs2axfDhw4t1vaq21d9//52NGzcSEBAAoNmMBrCxsWHQoEG8+uqrVKhQIc/j3r59mw0bNuDv709AQICmaIzwweoYlfr/gwYNonnz5ko1aknpcujQISZOnKiJVVpYWFChQgX8/PzKTIEenU7HF198wfr16zXrITFef/PNN3Tp0qWUr1JSUIqjY25O/PPPP7zyyivKv9UJY/Pnzy9Q8k1OAl0pzC3/5HVfTcc/0/fFxcWRlJTE4cOHuXXrFkeOHOH27dskJiZq5gbq8VOdFJ7X1qQ6qVd2z5WUBjkJdNUiHyHQnTJlCp06dZJCHgmQXaBrWtC0MALdBwlzc9qnF0VfTAvVCNQxfnUhL/FaOzs7KlasSLt27ahatSrdu3fHyckp13X5lClTMBgMfPPNN4DcD5IUPaaiCdP1uhRNlF9WrlzJjz/+yM2bNwFwc3Pjp59+emAhXynQlZQUISEhzJ49m6CgII3gdsKECcycOVMZxyF/At1nnnmG0aNH51ugq+bYsWPMnj2bW7duZYuRmh5LPC+FuaWP+M5v3LjB8OHDuXXrVrb8DkdHR5566imeffbZB8aUkpOTiY6O5scff2T//v107dqV1157DVtb20KNi1KgKynPyLnmo0dewlzTOOTs2bMZP3685n0PQ0GFuRs2bMDX17fIxtaCCHTd3NxYunQpbdq0KfR5JQWjrHXMNRXmqm2zqPZ98ivQ9fT05PPPP9c055BIJBKJpDwhxbkShXv37vHLL7+wcOFCUlNTc6y2C2gWn2KyKCZRInidUwVe9cQxJ7GinZ0dZmZmNGnSBBcXF9q3b0+tWrXw9vbOsbuJupL7V199xY4dO6RAV1JsrF69msWLF2uCiQAffPABw4cPz/E9sbGxREVFcevWLfz9/UlMTOTChQvExsZy9+7dbJ3SxCJEnYwpggWi28+mTZuwsbHRBPAl5Qt/f39GjhwJoAjWhg0bxvTp03F2ds7XMYSPCwkJYf78+Zw8ebLQAl3TAEBGRoaShHfnzh0cHBywsLDA29sbR0fHh/nokiIgP8JcNzc3Vq1ale9KZOp7P2/ePDZt2gRkL8zRrVs3pbvug1CPw+Hh4ezbt48NGzYQFRWlBGfU8w3IslvxvJqcqv2rxRLicxiN97vw+vr68sEHH0iBTzGjvs/btm1j8eLF3L17V0lMV4+npq8XmHYSbdCgAa1bt2b27NlFkiCRlzDXNEBZUGEu5D+BXSa6lyxqXzlgwACsra2ZNm0a/fr1y/daQW077733Hjt27FCeM10vmSalq/82LUDQrl07xowZQ7NmzXB1dS30Ro2wrS+//JJVq1Zp1nA6nY5p06Yxbdo0mWzxmPD666/z22+/aRJ9hMhw5MiRvP/++0DpbSbrdDoMBgMDBgzg6tWrmsR3KysrfvrpJ+rUqSPX8qWIsI3bt28zceJEgoKCsvmVVq1aMXfu3BIRPqptdc+ePaxfv55z584BWoGuKCL00Ucf0bFjx1zHXfG4TqcjIyODnTt3cv36dfbt24derycmJgYAa2trMjIy8PHxoVKlSnTr1o3mzZtrOlRKv1p6CLvYvn07c+bMyVY00M3NjV27duW7SFVxIq71zp07DB48mIiIiGy/KeGfpU09OpSUMBfg4sWLvPjii0qxI8haCz/MeYQfjIiIYPfu3UybNk3zuKR8cP36df777z9F8FoQ/5JXd920tDRSU1O5ePEiwcHBhIeHc/LkSdLT07lx44bmtQ8qXKmOlcP9NZcoNCORlBT5Eeg2b96c6dOn065dO7lfIwGKp4NuXsJcyN7JVjwGZItFPej/eRXetrOzw8LCgtatW1O9enWaN29O48aNcXZ2xtXVlRs3buDp6QnI9ZCk+MhJNGGaiG4qmpD2+OiivnfffPMN27ZtIzIykt69e7No0SLFb+XnGFKgKyluli9fzsqVKzXjqbOzMz/++CNeXl4aey4tga4U5pZNxH25efMmkyZN4vLly8pcT6yLK1WqxLvvvkubNm1wd3dX3gfZ53um9/DSpUs4OTlRrVq1IrnevAS64nqkQFfyqCLnmo8eYWFhjBgxgri4OE3HXHUOmTquWBziR/V5i1OYK8hLoCsKdOn1ep5//nm++OKLIjuvJH+oc5EeZJtvvfUW48aN07zvYSht0bggL4GupaUlZmZmZGZmMmbMGN55550iO69EIpFIJGUJuVMoUXBwcKBPnz4AGoGuqJQLWYFpgDp16hASEqLZnBPJY4Ai2BVBF7UAQ73JJyZ5aWlpGI1G/P39MRgM/PXXXxiNRipWrEjdunWpVq0aTzzxBC4uLjRu3Bg7Ozusra0xNzdnxowZWFlZsWnTJu7cuZOtqntoaCibN28GkALdRwDTe1MW7lXFihWVv9XJQSdOnGDYsGGazn8i6a5y5cpUrlwZgGeeeQaAO3fuoNPpCAsL4/z588TExHD8+HHu3r1LdHQ0gOY3JboH+vr64ufnJ4W55YyckhvDwsKA+92d0tPTAejSpUu+hbmQtZCvXbs27733XjaBrjq54rvvvgN4oEBXLMaFz7aysqJatWq5BvFlALLkya8wd926ddStWzffvlXdoXTYsGEcP36ckJAQIKsrj9Fo5NSpU0RERORL8Ko+b40aNRg6dCgdOnRg3rx5BAcHk5ycjMFg0CS+ifmIGOPVgXDTwglqX6wuINKoUSN69epFv379FP8sKR7U9rVx40Y++eQTIGsMFffHNMlLvNe0q4PwWcHBwQQHBxMYGMjbb79Nw4YNcXJyeqhrfFDHXDMzs0IJcwHldervIyf/KBPdSw7x/YeHhzNixAju3bvHvXv32LhxIwaDgRdeeCFfawW1b5w/fz6Wlpb88ccfJCYmKv5L7X8gyw7UFXbFb6B9+/a0b9+eyZMnZztPYXjQ+0WSUWnPtSUlQ4MGDdizZ4+S6KMubHHo0CH+/PNPnn322VKzB0tLS+Li4hQBpPo34+Pjg4eHh7TVUkZ8/zt37lSEueIx4c8GDhxYYh1J1UnkvXv35t69eyQmJhIeHp4tLhQeHo6fnx8dO3ZU5hmm9iTGY0tLSywtLRXR0uTJkzEYDFy/fh0zMzMcHBzQ6/V4enri7Oyc4zgu10KlT2pqKpC9M2N+kndLCrE+r1ixIt27d2fdunXKHFkktAUHBwPSph4VSkqYK3yYo6Mjtra2pKWlKT7RYDBgbW39UAJ0sYb28vJShLkyDlm+CA8PZ+jQoSQmJpKRkcG4ceNyFdvmhHiN+rXCHq2srLC1taVjx4507NgRgKSkJHQ6HQEBAcTFxXH8+HGuXbtGTEyMsnYyLdwl7FDYnk6nY/78+QBSoCspUby9vVm6dKlGoAvaGM/p06f53//+h62tLS1atJDjtUTpdvLZZ59p/Jj67w0bNgDkS6Cbn4656v120/W+aXEudZEFgWncElDmosKmRQJlamoqBw4cAOCHH37AxsYGg8HAZ599xrPPPqscT/4WJMVFjRo1mDdvXo6iCWF7ycnJzJ07F4DevXtLe3yEUc9TJ02ahF6vZ8OGDTz55JP53lNRH2PMmDEAikBXPC584Pnz51m1ahWAFOhK8o2wo3HjxvHff/9x6tQpZY8oMTGR7777jnfeeQdbW1vlPb6+vrz++uvZBLrqve2//vpLeX2rVq2yFeLIi/bt27No0aJsAl0pzC2bmJmZkZCQwKJFi7h8+bKmALnI7/j6669p2rSp8p7cCl5D9rye+vXrF+n1ijmtq6srmzdvzibQVc83g4KC2LhxI4AU6EoeCeRc89HBaDSSkZHBjBkziIuLw9raWtO0BO77RXd3d2rUqFEk58tN/CjOK/4uTvEjZM1vmzRpwpIlSxSBrjq/rl+/fixcuBCQ43tJY25uTkxMDP379yc1NRUbGxsyMjIAbU7O+PHji1WYK/JFxd/CNv38/GjatGmx2IWFhQVt27ZV/n3s2DH0ej1WVlbKHKF///5SmCuRSCSSco3MqpBoyE2ga9pB18zMjE6dOvHVV19x+PBh/P39iY+P5/Tp0wDZhBbq5HRASZIUm3tiw1AdUBSBpqSkJE6cOAHcn0AC1KpVCycnJ3x9falXrx4NGjRg/Pjx3Lt3j4MHD3Lt2jXluGISKQW6ZRfT+yD+TklJwdzcHHNz81Lf/GjSpAlOTk6kpKRgMBgU27127ZqywIYs0ZEp4jM6Oztjbm5O5cqVla46YgEWHBzMjRs3uH79OqdOnSIlJYULFy7QoEEDvv/+eynMLWeoxV3//fefkrQWHh4OZPnRrl278uSTTxb4+GqB7vvvv8/8+fM5ceJEoQS6oE3GyM/rJCVDQYW5BQ2yCFv19vamWrVqmm52ImEnLS2NlJSUh7p+W1tb6tevz5o1a/jpp584fPgw//zzjzL/MBW5qbsCic8PWWJhkZAkfkd2dnZ069aNiRMn4uPjg42NzUNdpyT/CB+xY8cORZirLmJhNBrR6XTY2tri5OSEu7s7qampmo46aoGjaRfloKAg3nnnHQYPHkzv3r2Vrgz55UEdc9XB84cV5ub0fYD0j6WJ2DQLCwtj2LBhxMfHKxs1169fV9YK+RXoqjfIP/74Y2rVqsWBAwc4evSopjOK2m7E46KTd6VKlRg/fjxdunTBw8MDKNoNEnH9ycnJyr/VPrRSpUqa10nKJ8KWx44dy4EDBwgICMjWTScsLIw9e/bQsGHDItmkfNhrFGI6dRxCFO1ycHAo8euSaBH3SS0WFIneRqORjh078vzzz2teW9yo40iDBw8mOjqaNWvWKEI4daLl/v37Wb9+PWPHji3QtYk1UpUqVXJ8Xm5sly3EvbW3tweyd2G0t7fHysqq1K7PFDFH6NKlC+vWrVOKxIj/QkNDCQ8PLxXfLCkYJdkxV9j5mTNnlHkeZCXmWFhYPHQs1XS9I+OQ5QcRM0pMTATu7//o9XpeeumlAgl0TVGv1UHbnbFChQpAVuHKIUOGYG5uTkREBBcuXCAyMpJ///2Xu3fvEh4ezr1795SYpRToPp6EhoZy4MABReBY2uQk0FXvZwIEBASwbNky5syZQ506deS+o6TIBLoPEuaKuBTc329ycHDA2tqaGjVqkJqaisFgIDMzUykMLIrBivcIexao46+AJhavXnepx4p79+7Rp08fRZgr3ieRFCcPEk2I383rr7+udHmWPLqo56lTp06lfv36dOnSBch/7EkKdCXFiRgXbWxsaNu2LadOndKM0WfPnuXOnTtUrVpVs+YqLYGuFOaWPTIyMvjtt98ICAgA0BS4dnNzY9OmTXh7e2vufX59X3EhBbqS8oycaz4amJmZYWNjw1tvvcWcOXO4ceNGtm7xANHR0SxfvpyEhAT69ev3UDHQvIS5prlFxS3MFZgKdF9//XWlGUzfvn2lMLeUuXbtGp6enly5coX09HRlbmdaOH3AgAHUqVOn2DrmGo3GEhPmCnIS6Io9sr59+/LZZ58B0jYlEolEUn6RmRWSbOS3g+769etp1qwZo0ePZvTo0eh0OkJDQ0lKSuLgwYNERkYSFBSkCCzEhA+yEuJEoroITKonoCJxXd0hT3QRFYHyM2fOKK9v0KABZmZm3L59WzmWaXBSCnTLJuL7v3r1Kjdu3OCnn34iMTFRqaxfoUIFWrduTdWqVenTpw9WVlZYW1uX6CTdzs4OQCMGE52dbt26lWuSrsC0SqFAbKBbWFjg6+uLr6+v8rjRaOTy5cvUrl1bEdnJhLjygVqk8/777/P777/zyiuvMH78eE3VVKBQ3T2FD6xVqxbvvvtukXTQlZQ9iluYqz6PlZUVPXv25L///tMIcy0sLEhPTyc+Pv6hP4der8fGxoahQ4cyZMgQfv75Z44fP87ff//N3bt3gawAo/CF6vOrBZziWm1sbBg+fDitWrWia9euD31tkodj//79fP7550B2YW7jxo1p3rw5w4cPx9HREVdXV/R6PWlpaVy8eJGQkBDWr19PdHR0tg7JYlMyMjKSdevWcfnyZV566SUaNmyYr+t6kDBX/F1UwlxJ2UFUn542bRrx8fHZ1jiFFeiOGTOGp59+mv379/Prr78SHh7OnTt3AG3xoubNm+Pm5saIESOoXr26RmxTHN1FYmJiOHTokHJ8dSGkatWqFem5JGUTMSe0sLCgd+/eXLlyheTkZMW/Cjveu3cv1atX56233gJKTlwprhFgz5493L17V/kdiGvr3LlzoUQjkqLBzMyMGzducPDgQSC7jdSqVatUOnKrO0C9+uqrhISE8Oeff2JhYaHpDGFmZsbJkycZOnRotnVXYZA2WTYxnbeJ4jCxsbFERUUVedeIwmA0GvH19aVOnTpKwUERF4qLiyM+Pl6Kc8s4JSnMhaw1jUg6EjEeMbZ36tSJRo0aFdn5JI8+oaGhjBo1SokZCZ/4xRdfABRaoKsmr2RhYaNeXl54eXkBMG7cOAwGAwEBAfz1119s3rw5VzGbFOiWb8LDw3nxxRe5e/cu6enpTJo0qbQvCbgv0BWdSNQCXeHrDQYDx48fZ+nSpSxduhRra2sZQ5LkKNA1LTqQl0D3QcJccQyAxo0bU69ePYYNG4azszOenp5KUeDU1FRu3bpFeno6Z8+eJTw8nGvXrnHhwgUyMjKyFdsUa3B1d10RU1AjCr9JUY+ktMhNNCHiAwB9+vSRYolygnqe+vTTTyuPFyT2JAW6jxelkQNmZWXF8OHD2bVrFzExMcq4ffHiRb7//nvefvvtbONkSQt01fNYOYaXPuJ7T0xM5Oeff+bWrVua/btKlSqxYsUKvL29y+T6Ij8CXWHHUqAredSQc81HA6PRSIcOHfjss8944403iI6O1uwJigLD58+fZ8OGDZibm9OnT58CxUAfJH4sDWGuwFSgO2rUKJ566ik5vpcBWrduzezZs1m1ahUBAQEajYQY669cucL06dP56quvqFevXoHPkVfHXLEvpRbmbtiwodiFuQK1QNfMzIyjR4/Sp08faZsSiUQieSyQKi9JjjxIoCv+njlzJnfv3mXw4MFYWlpSs2ZNLCwsaNmyJXC/Q1NMTAxhYWGcPHmS+Ph4Tp48SUpKCgkJCUBWonpu3XUBjZjDtDqvmLwGBwdnC0SqqyHJDrplC/V3npSUxI4dO9i8eTNxcXFKtyT15q+oErht2zaaNWvGuHHjSjQxsXLlynh5eSkdggwGAzqdjvj4eC5duvRAcW5u5NRpV5043KBBA+V8UphbPlAHzj/88EN+/PFH4P4GoKWlJRYWFpoCBkKwXZjuFaKD7nvvvScFuuWMkhLmQpbowNHRUSMyE/7KwsKiUB2oxO9CHK9///707t2byZMnc+zYMU6cOEFwcLDSsVwEk9Tfg6WlJU2aNMHd3Z0XXngBLy8vateune11kuInIiKCnTt3kpSUpPghMZd75plneO2116hWrRp2dnaKX7S0tMTGxob27dvTvn17nnvuOXbs2MG+ffs4ffq0MjcUQgVzc3MSEhL4+++/iYqK4s0331TmoLnN7aQwV1KhQgU6dOjA3bt3lc4h6sSbhxXoitd4enoyatQonn/+edLS0rh+/Trx8fHY2tri4uKClZUVDRs2VIqzCNTzv6JC2HtcXBzJycnK3FoUPPLw8KBx48ZFdj5J2UbYV/fu3dm2bRvBwcHKHFCsNXQ6HevWraNy5cqMHz9eI3gsTtS/sStXrmgeE3OOZs2aAVIEWRZISEggIyNDkwxubm6Ovb09AwcOBEonAU4dH/r000+JiIggKChIYzNGo5F//vmHEydO8MQTT5To9UlKDmF/7u7uGoG2iBHqdDql+E9ZwczMDEdHR7y8vLh69aryuChwo15/ScoeJS3MBZQ4gJ+fnyaRXMQBfHx8gNLxx5KyR3x8POPHjyc2NhYbGxsyMjI0wq7iEOjmRm5xcEtLS9q1a4eHhwdmZmZs2rQpVzGbFOiWT0RsU4zRS5cuRa/XM3Xq1FK+svv4+PiwZMkSZs6cycWLFzWFA8Xv5p9//uHDDz9kwYIFimhXrl8ebx62g25mZiZWVlY5CnMBzVps4MCBjB8/Hi8vL414TBQctrOzo1KlSkDWutpoNBIfH098fDyHDh1SirolJSURFxcHaLvrinWWeo9einokZYGcRBPC//br1092iypnFMU9lALdxwNxL+/du4dOp8PZ2blEzqvX63F3d+fll19m0aJFSpc0g8HA/v37ee6553IUcZWUQPftt99W9sTkGF42EN/76tWrOX36tCau4+joyHvvvafYTFndo36QQFdd9EUKdCWPGnKuWfYR42Hr1q354osvsgl01TGbCxcusH79eoB8C3TLsjBXID5H48aN+fnnn/H09ASkXZYmoltt+/btMRgMfPvtt9kEuiJX9/r167z22mt8+eWXBRLoPsg2Ibswt6RtUwh009PT6dChAy+//DIgbVMikUgk5R+p9JLkSm4CXfUEUafT8cEHH2Bubs6gQYM0XXAtLCywt7endu3a1K5dm27dugH3Ozfp9Xr8/f25fv06QUFBSoXepKQkIEtUK5IrTYW7YoIpziUEnKCtkKl+vWkH3R9++EER/zg5ORXb9yjJjnrx+9dff7Fnzx727t2rPC+CGQL1hDwoKIigoCB+//133nvvPdq3b1+ozqL5xd7eHnd3d4KCghQ7Egl3oltzUZFT8FEuSsoPInD+wQcfsG3bNsWOwsPD2bZtGzY2NpqOpKLCeWGQAt3ySUkKc9Xns7Ozw8bGRkmOFMnizs7OuLu7F8lnU3d29Pb2xtvbmyFDhpCSkkJ0dDQpKSlcu3ZNGS/E6xwcHJQk5JyQvrT4EXZy6dIl/vvvP00XEaPRyLPPPsuiRYuwsbFR3pPThqJer8fV1ZWxY8fSu3dvli9fzq5du4Csoivi/+np6Zw+fZrZs2czb948OnTokOvGtLABPz8/JaE3pwClFOaWT4R9vvXWW9jZ2bFjxw7i4uKyJd48jEDXdJ3i7OxMxYoVqVq1aq7vUR+zODafhb1/88033L59O5tow9vbW5mHSP/4eGA0GqlSpQofffQR48aN06zx1cnBixYtwtbWluHDh2sqDBcX4tj79+9nz549msfMzc155plnlOILktJD2EFgYKCSXCbuk16vx8rKigoVKgAl2zVXjZhzODg4MGHCBObPn098fLwiNBc2vmfPHtq2bYu1tbX0f+UQYX81atTA2tpaKQAnivxlZGRw8OBBWrVqpcxVSxsxFou1jHr+rNfruXHjBq1bty7di5TkSGkIc+F+QcwdO3aQlJSkiZuLAiwi0VwmOEoA7ty5Q4sWLUhKSiI5OVnZw1HP/0pSoKvG1Ea9vb0ZPnw4ZmZmbNy4UQp0HxNy6+y8bNkygDIl0F20aBFvvPEGly5dUsSKIm5kMBjYuXMnNWrUYMqUKXKeKQEeTqBrZWVFQkICI0aMyLNj7pgxY3jnnXeUcz1o7S6eNxgMuLq64urqSt26dYH7v7O0tDQCAgIICQlR9u6Tk5NJSUnR7P3LZHRJWUKIJj788ENOnjyJTqejf//+fPbZZ4C0T0l2pEC3fCPu4fXr15k1axa1atVi6NChtGnTJttrihoRX2ratCnOzs5KF1Sj0Uh4eDinT5+mefPmOY7XJSHQXbhwIePGjaNnz55SmFuG8Pf3Z//+/UrcUsz3nnnmmUcmFpifDrpSoCt5VJFzzbLPgwS6IqeooALd/Igf1cJcPz+/Iu9Kqs5TystXivNJYW7ZQNwnKysrOnbsCJBNoGswGJRc3WvXrhVIoJuXbYrYTWkLcwUWFhY8+eSTdO3aFZC2KZFIJJLHAynOleRJXh101WKu999/H0AR6ApRmZhMqSeFQrjTt29f5TyJiYnExcVx7NgxYmNjOXr0KAkJCURHRyuJF4BGhANZolwh5jU9l/px8Xpzc3PMzc0JCQlh+fLl1KxZk86dOxfhtybJC3EP9Ho9y5cvZ+/evVy7dg1AE5xTC6rFfVZ3Z0xISOCDDz5gxIgR9OvXT9lALg7EwkhUlxaLcyGgPHnyJP3795fiHUm+OXToENu2bQO0YvWrV69ib28PZFUmF7+Pwi5OpUC3fFHSwlzICiBduHCB9PR0jWjGYDBgZ2dXqM65OZ1LXLNaGFyrVi0AmjRpkucxZFCndDA3N+fu3busXLlSSfoVY2aLFi2YNWuWUoTgQZ1IAaytralevTqfffYZPj4+/Pjjj9y4cUMj+hXHuXHjBq+99hqLFy9W5nY5nee3335TEnmtra0VPyg75pZ/1MkMr776KkCRCnQhu//Kz2uLk99++43AwEDN9Yi1Vf/+/XFwcCj2a5CUHcR8sHnz5rzxxhuaCv6mRbjmzp0LoIgjipuoqCh27typrPfUa8LmzZsX2RxD8vAIO0hISADQbGobjUbq1q2Lh4dHqc/BxLlbtWpFrVq1iI+P19g4wOnTp0lPT8fW1rbUrlNSvBgMBhwdHalYsSKpqamaSulwf00j/E1ZQNitEOeK31tOcU9J2SEnYa6ZmZkizF25ciVPP/10sZz7woUL/PPPP8paRmBlZUX//v2pXLlyqftjSdmhdu3aTJo0CQcHB37++WfS0tLKlEDXlJo1azJs2DAAjUDXVMwmBbrlg4SEBMaNG0dsbCy2trakp6drBIhlTaBbt25d5s6dyzvvvKMpHKiO8f/yyy80bNhQSTyTSHIT6KrX4Bs2bECv1zNlyhSsrKwYOXJknh1zx48fz+zZs4Gs+Gd+Y1bqObB4r5OTE87OzvTq1Qu4vz+VmJhITEwMhw8f5ubNmxw4cIC4uDiefPJJKcyVlClq1KjBxx9/zLRp02jcuDELFiwApH1KckcKdMsn4t6Fh4czatQo4uLiuHz5Mnv27GH8+PG0bt2abt265ZjDVpT4+voybNgwvvrqK824v2LFCjp16pRrXlNxC3TbtWvHL7/8Qu3atQHpI8sK586dIyIiQvm36DTbq1evIiuKXhJIga6kPCPnmmWfohboPoz4saiFuWIOYTQauXXrFu7u7vk+vrTLskNRC3Rzs01hjyXRzVnYZn5Rj+/SNiUSiUTyOCBHO8kDEQJd0WFKPcESE0SA999/n+3btwNZAW1BTkEUkVim1+txdnamdu3ajBgxgtdee41169axY8cOvvvuOz755BPGjx9P06ZNqV69ulKJWlQJFpM2cR05nUvdkUr9fMeOHaUwtwQRgUSdTse7777Lhg0bFOGhCCirN5FN/1PbjKWlJampqWzYsIENGzYQEhJSbNctNqqbN2+uEX4LGxedc8tKUqek7NOlSxdef/11qlSpgsFgUASVgNLVR2z8BQcHEx8fr/GpD4upQLdNmzZKNwLQ+vTvvvuO9evXExcXV+jzSoqW0hDmQtZYGh4ervm34LnnnsPDw6PQ58kJcf3qc5oW5sjtPZKSJzIyktu3b2crqtKpUyeli2hBNthEgHvy5MnMnDmTdu3aKY+rx14LCwsSExOZPn06Bw8ezLVYS1paGvXq1cPS0pKMjAwpzH3MMBXoDhw4UClEYVoQRgh0d+7cSXJysmY++igQExPDX3/9pYiPxdrJzMyM2rVr4+vrW9qXKCkFhG984okn6NWrl7KRKDYo1fPBuXPnsnbt2mK/JqPRSEBAAMeOHVM2ScV/nTt3Zty4ccrrJKWHGI9FspC6iAqAnZ0dFhYWZWYO5uHhwcSJE4GsogRwf74QFhbGf//9B0i7Kq+Ym5vj4uLCE088AWSJycUYf/z4cX799ddSvsrspKenAyjxMTEXlUWzyh6ZmZmMGzdOI8wV/wHMmzdPEeYWlZ8Rfvj27dssX76ckJAQxeeKtZe9vT2dOnUCUGKw4prUf0seH4T91atXjxEjRtC3b19sbW2V9a66YB/AF198oRTtM93jKUmEQHfkyJGKLee0JzV//nz8/PxK5RolRUNqairdu3fHwcFBEY6DNtFr2bJl/O9//yvNy9TQuHFjZs2aRfXq1ZXO5YCy7r527Rp///03GRkZpXylkrLE2LFjlaRJtX2rO4Rv2rSJZcuWMWDAAK5evarpmCvi/qAV5qpt8GEwLTKnnrdUqlSJhg0bMnHiRD744AN27drFX3/9pfweZTK6pCxRo0YN1q1bJ8USknwj5rpmZmaMGTOGoUOHKgWzTPcJhED333//leN7GUW9dz5s2DDi4uKwsrJSxrm1a9fy7rvvMnv2bC5duqTs9xT1ekccr2fPnjRt2hTIWr+kp6fz999/K0LFnBAC3ZYtW2JlZaXYqLpg8V9//cWGDRsICAgAyNe+lXheCnPLFjdv3lTWs+omKMOHD6dLly6leWnZMLWxnGzOVKDr7e2t5K8IOxZ2JwS6e/bsUfbqJZKyjJxrln1MBbqimLA6Z0jcMyHQ/eWXXwBtDLQsdCVVC3OHDx/OwIEDCQsLK9VYreThEQLdl19+mVatWgFZOfTib7VA9/Llyzkep6DdnIvbNletWsXZs2eL5LgSiUQikZQn5CpBki9yEuiKTXJ1MsScOXNyFeiaYlqhVx28sbW1xdHRkTZt2jBo0CBmz57N5s2b2bVrF6tXr2bBggX07t2b5s2b4+rqCmRtfKsT7iwtLTWCXHXCcb9+/fjyyy+V90qKF5Hwo9PpmDp1Krt371ZEiBYWFpr7r76XpkICsZgWx8vIyGD37t38/PPPiki2uKhYsaJybrhvw+bm5kRGRpKUlCSTeiX5QtjPxIkTGTlypJJkq154Q9bvICAggDNnzij+q7BIge6jTWkJcwVHjx5l165dyr/V1aNr1KhRZOfJD+pNGrlhU7Y4evQot27dUvydTqfD2dmZvn37PlRVcfWGZO/evZk6dSp9+/ZVji3mkgaDQSneMXXqVEWga7oxPWDAACZNmkT9+vWVx6Qw9/GiPAt01euazZs38/vvvwNoNr+NRiMdOnRQEjEkjydeXl688MILtGnTRvGzYs6gThRetGgRX375JTExMcp7i+o3II4TGBjIwoULSUpKUgRORqMRT09Phg4dqrxWjvdlAyEeFPdP3Bc7O7tSu6acEF2X27dvr6zd1UW2rl69Csh5ZFlFzCMfFmGfIrFWrFvU697Tp08X6hzFgXoeAmiSPSRlB6PRyEsvvYS/vz82NjYaUa7g2rVr3Lx5EygaPyPWPUajkXfffRd/f3/NWl8kX3z44Ye0adNGeVwda8qrgIKIw0rKH2r7q1+/PiNHjqRv377Y2dlp7EM9//viiy9YvXo1UDYFukajUXO9UqD7aFO1alXGjh3LyJEjsbGxUe6tmZlZmRXoWlpa0q5dO4YMGYKzs7PmNyJiST/++KNSDEYiEZgKdE2LJOj1erZu3Up4eHi+OuYWR/wyp+66cH+uUKFCBaWDm0xGl5RFRM6IOvFeIsmLhxXoitiYpGyQ1965eqxMTEzk559/ZsaMGXzwwQdcunQpW25GYRHHq1GjBo0bNway9jgzMzP5888/ycjIyDPvozgEuqZxCekjSxdxr2JiYkhNTc3WtbF58+aa15U2ohhMRkYGYWFhQO6xroIKdP38/Ni+fXuhY8ESSUkg55pln8IKdEXnUcjelVQUzipJ8ePo0aM5deoUcXFxzJgxg9DQUCnQfUQprEBXbcc5icaNRmOJi8a//PJLtmzZQlBQUJEcXyKRSCSS8oJcKUjyTXEIdNWogzemk0KDwYCVlRX29vZ06dKFF154gcWLF7N161Y2bdrE6tWrmTNnDj169KBdu3bY2toq3ShFEq/4v8FgoG/fvixcuFA5tlw0Fy9qYe748eP5999/FdsRiwSRgN2kSRM6d+7MxIkTmTRpEj169KBu3brKQkIIbwAlAJ2RkcGGDRs4dOiQcr7ioF69ejg6OipVNkXy3Y0bN4iNjZVJvZJ8oRaZvfzyy4wZM0YjCFILydRJcaGhoUVmYw8j0C1u8bvkweS1uSg2OopTmHvr1i1+/vlnpVK/SN7V6/W0atWK4cOHF9m5JI8mwocIQb/wIwBVqlTBxcXloTcS1RvV7dq1Y8KECYwcORIgxzmpXq/ntdde48iRI0DWPFMt8h07dizNmjXDYDBQoUIFKcx9zFALdGfMmMGgQYPyFOhu2rSJn376qUwLdNUbSt9//z3ffPMNgEbsaDQaadGiBdOnT1feI3n8EPe9bdu2jB07lvr162uS0UAr0Fi1ahVLlizh+PHjAErycGExMzPj6tWrvPHGG8TFxWmSj62trenUqRNt27ZVXispXcTYaGtrC2T5SuF3hHiwrGwKm5mZ4ezsTNOmTZVYgpmZmfI5/P39yczMlIk/ZRAxF8vMzGTXrl3Ex8cX+BjCZwwYMAAfHx/NfRbPbdy4UYkjlTbidyMSfNVFkOzs7HBycpJjdhkiPT2drl274uDgQHp6uuIHRSEAgHXr1vHdd99pils8LOoxedq0aRw8eFCxEbXP7dGjBxUrVmTt2rVMnTqVUaNG0a9fP/r168ewYcMYO3Ysc+fOZcWKFfz8889cu3ZN6YauLm4pjllW/LmkaKlXrx4jR46kT58+GoGuqRBy8eLFZVqga9rxVwp0H22qV6/Oiy++yNixYxWBbk57j2VJoOvk5ETPnj2VhDoRK1XvX61atYrY2NjSvExJGSQnga6IsYuxWL3mzqtjbknGL6WoR/IoIWNIkoLwMALdQ4cOyQ66ZQSxFx4eHq7ZO8/MzNS8RqzXzczMCA0N5bfffmPo0KEsXLiQgwcPAlljW2HXPmKf5tVXX1WEiXB/TA8ODmbFihVA3r6quDroSsoG4t7//PPP3LlzR3lcr9fj4+ND9+7dNa8rbSwsLEhOTubrr79m7ty5bNu2Lc/X50egK9ZMQUFBxMbGyn15ySNFWfltSnKmMAJdsc9pKn7MzMwscfHj6NGjOXnyJJaWllhaWhIcHMzMmTOVDrpyzH/0yEugK+JCOQl01SLenDrmloZtnjp1CoCdO3eyfv16KdCVSCQSiUSF5YNfIpFkIQS6AAsXLiQ1NVWZ6IkJok6nY86cOQC8+OKL2aq8PQw5vVdsPHp5eeHl5QXA4MGDsbCw4MqVKyQlJXHixAkuX77M9evXuXTpEjqdjh49erBo0SJACnNLArUwd9SoUZw6dUpJulZvKrdv354uXbowevRozM3NNR2VMzMz2bx5M4cOHeLIkSMaIZq6S96iRYto1aqVYg9FjYeHBxUqVCAqKipb9eiEhIRiOaekfKL2ixMnTsRoNLJhwwbi4uKUx9UJGTdv3mTHjh2MHz+eihUrFsk1mAp058+fz8mTJ5VKcGqf/t1335GRkcHLL7+sCJckJUtem4uigl/lypVZvXp1sQhzAU6cOMHBgwc1xzYzM8Pe3p5evXpprlPyeCI2hUNDQzWPm5mZ4e7uToUKFQp1fHWxlfr16zN27FgcHR1ZtWqVMjfQ6/WK/0pNTeXNN99kyZIltG/fHtD63z59+pCeno6trS0ffPCBFOY+hqjt4dVXXwXud7dRj8dizhcaGsrmzZuB+0IfR0fHMtfJU1zLpk2bWLBgAYBG7Gg0GnFzc+P555/HwcFB8x7J44Xanz755JPcu3ePZcuWER4erti+KHYl5oO7d+8mLCyMbt268fLLLz+Ur1T/ZjIyMjh16hRvvfUW0dHR2daIDRo0YPLkyYUeOyRFh7ANMdczNzdXCm0BREREkJaWho2NTWlepoKwt6effprNmzeTnp6uzBMAbty4oRSCk5Qd1H5gyJAhBAUFMWvWLAYPHoyLi0uBjiXiRY0bNyY0NBQLCwvFZoVv+/rrr6lRowbe3t7F84EKgF6vVxIqxe/KaDRSt25d6tevL8fsMoStrS2DBw/Gzs4uz/j4pk2bMDMzY+LEiUqXuYJiKsz9559/NII1NSdPnmTv3r15Hk8U2gBwdHTE1taW1q1b4+bmxhNPPEHVqlWpWbOmxt+r41TSDssHQqAL8Msvv5CamqokeKvnf4sXLwZg4sSJRbLH87AIgS7cL6ygvkb13/Pnzwdg1KhRJX6NksLj6enJiy++CMD69etJT09X1gjq+7xs2TIApk6dWpqXC4CXlxcvvfQShw8fJiMjQ5lrCP8cFRVFQkIClStXlj5UomHs2LEAfPbZZ5qYprrYNKAUJQCYMGECb775JlDywlyJRCIp76jnumPGjAFg69athIaGZtsnEAJdgCeeeAJra+tSu+7HHSGuCQ0NZeTIkZqi1qZCVXVxK1G8LzU1FT8/PzZv3szgwYPp2bMnTZo0wdraulBrH3GuChUq0Lt3b7799lsgK9Zz5swZbty4gaenZ55zRCHQXbx4MYGBgUpOgNiL1ev1/PXXX8rrW7VqpYn7S8o+6oKE4t5Vr15dibuXhflefHw8ISEhfPLJJ1y+fBmj0Yi7uzuDBw/O832mAt3hw4cTFhamacQB0KdPH1577bXi/hgSieQxw1Sg+8YbbxAdHa3EuMUcwmAwcOHCBdatW4fRaKRv37788ssvmo65ouBHaQlzRQF2S0tLLl68yIgRI9i1a5fM3XxEEQJdgG+//ZaAgABlzDcYDNkEukuWLKFBgwZAzsJcMzOzEu/mLGxTPPfzzz9jZmbGiBEj8PX1LZJzSiQSiUTyKCPVE5ICk1MHXTHhKooOuvnFNBAlOvkB1KlTh1atWjFlyhSWLl3Ktm3b+Pnnn1m3bp2yeS8FRMWPutuJWpgrAsZiU3nq1Km8/fbbTJgwQdOVVhzD2tqasWPHMnPmTAYOHAhou+QJG4yPj2fDhg1KVaCiRFyrSAYVFVINBgOpqalKRSCJJL+o/eLLL7/M6NGjNR371OLHlJQU9uzZw7///qt00ikK8tNBV3TG2rBhg6Zyp6TkUG8umgpzhS+ytbVl06ZNNGjQgIyMjCIb30QyWXBwMEuXLiU+Pl6p5i+CQx4eHjzxxBNA9vFe2JKs2vd4IMZldbK4CG7HxMSQkpJSaFtQbyh7enoyYsQIpk2bBmTvoGtubk58fDzvvfcegYGByvvUdjpo0CBWrlxJ7dq1y8xGp6RkMRXo5tVBVwh0i6uD7sN0b1SfPyMjg2+//ZZ58+YBWmGuSCBq164dPXv21HS2ljyeqO23V69evPrqqzRo0EAZ30UVc7VvPH36NEuXLmXixIkEBweTmJgIZNlhbmt+9W8J4PLly/j5+fH6669rhLliI8nd3Z2FCxdStWrVYv0OJA+HKIYl/Iq4/8nJyZpkxdJGXEe1atWU2JW4VktLSzIyMuQctYxhGkMSlZaXLl3KDz/8UOCiaObm5tjb2zN06FClI6SwUTE+Xr16lT///JN79+4V9ccp8LVaWFgoa2519XYnJyclAUNSdsgrPq7+e+PGjaxevfqhOuiaCnP//vvvXIW5kFU4UHQVFQJbYfcWFhbKc5aWliQnJxMXF8cff/zBxo0befXVV+nfvz/Dhw/nnXfeYdOmTVy+fJno6Ggg56Iusrvuo0tuHXRBu8cjO+hKShIh0M2pg67aJ5alDrotW7Zk1qxZAJrOp+bm5ty6dYsffvgBkIWxJNnJqYOuKWL+N2jQIEWYm5mZKeOXEolEUgwUtIPuN998w19//aXkkEhKHjMzM+7cucOUKVOIi4tT5o9iX1LcLxG/VMdVxPpHr9eTnp6On58f7777Lm+99RY3btzQdEZ+mHiMubk5lpaWdOvWTREMi/WWv78/Bw4cUD5DXsgOuuUTo9FIVFQU/v7+ymPCFurXr4+1tXWZmO/5+/vzxRdf8Oqrr3Lp0iVlPfbTTz+xf//+B74/tw66wob79u3L559/Dsj4kkQiKXoK0kE3KCiIzZs38+GHHyprb+HDoHSFueoxH6Bdu3ZSmPuIU5AOurNmzeL27dv8+uuvGmGu2B8qLWGuKPIpCmDv3r1bds+VSCQSieT/kcpEyUORUwKSOjlILdD98ccfgeJP3lAHLsXfYiJqZWVF3bp16dChAyCFuSWBOqly9OjRuQpzP/nkE6ZMmaJU+RGLX3F/xAQfoEmTJkyePJm+ffsq5wA0iZXnzp0rlmqQlpaWWFtb07x5c+Wc6vPIzrmSh8FUoDtmzBiNIEjYmbm5OVFRUaxevRp/f/8i3ejLS6BraWlJWloaAF999RV169YtsvNK8o+ZmRmJiYm8+uqrxMXFYW1trdiA0WjEYDCQlpbGypUrATTPFwYxtsfExPDaa68RGRmp+HHxvI2NDYsXL8bLy4uUlBTS0tJISEggOTmZe/fuKVUEc/LJDyNCk5Rt1IIX0N534dOKenyuXLkyw4cPV6rqquekYpyOiopi6dKlXLp0SXmfCGzC/Y5RkL3wi+TxoSwIdCMjI9m/fz9hYWH5fo868ffMmTMsWLCAJUuWANqgvKiiXrt2bWbOnEmlSpUKfb2S8oG6KJIQ6LZu3VrTxVZsAglhj7m5OYcOHWL69Ol88sknBAYGKvNFdYc9NeLxpKQktm/fzpw5c1ixYgVxcXHKuczNzcnMzMTFxYU1a9ZQs2bNEvwmJPlB3EfRYVQkuwm7CA0N5ciRI9mS3UoTg8GAs7Mznp6egDZWFBsbqwjOJKWPKP6TmZnJuHHjlBiSWJsuXbqUrVu3Fjj2YjQaadGiBUOGDNHEjuC+TSclJbFt2zYuXrwIlG4i2N9//825c+eUfxsMBmxsbHjxxRextraWop4ySHEKdNXvnz59ukaYa1r0QvwtfLIokiSSd4S4W1ReF2M7oBHwis6/58+fZ+fOncybN49BgwYxbNgwXn/9dRYsWMDRo0ezraskjy45CXRzEkKWZYGumK+qr3f+/Pls3LixVK5RUnhyEujm5FvLkkC3VatWVKtWTSP+ENy6dasUr0xS1jEV6Ir9UHUM1dzcHDc3NyIjIwGUxEeJRCKRFD35EehaWFhgbm7OuXPnCAkJkUUwS5m0tDQ6dOiAm5sb6enpmsKBIkZpNBqxsbHB0tJSU4BazNnEGig0NJTff/+dESNG8MUXX3DixAkga+39MOugJk2aMGnSJEA7l12/fr1mbZ0X+RXobty4USPQlZRdxFxP5FGI2I14rixw7949NmzYwE8//cSdO3cUkZqw4d27d5Oenv7A30VOAt3MzExeeOEFFi1aBMj8TYlEUnwURKB7+vRppcCalZWVEkcvK8JcUdRg8eLFgCxq8KiTm0BXnZshBLr9+/fnjTfeAMqeaFzsM/Xu3ZuhQ4cWyXklEolEInnUkZFCyUMjEpAAFi5cSGpqqpJYq+568/777wP3K/uqE99LAhFINQ1gycBO8SIWCzqdLkdhrggyLlu2jB49emjem1OwUf2Yl5cXL7zwAufPn+f69etK4FkE2k+fPs3+/fuzHbeoEGIG0+DohQsXyMjIwMLCQop7JAVC7RcnTpyI0Whkw4YNxMXFafylhYUFV69eZdGiRbz33nu0atWqyGzNVKA7f/58Tp06RWpqKgDLly/nmWeeAbLEbpKSRafT0aVLF5KTk4mKilLsQgQLjUYju3fvJjMzkyVLlmTbIHmY81laWpKQkMD48eMJDQ3VCL3gvu0OGDCAS5cusXv3bgICAsjMzCQtLU1J7nVxccHd3R07OzuaNWtG9erVqVGjBtWrV8+1G4C0r0cXcf/q1KkDoAQOzczMCA8P5+jRo3Tr1q3I73OlSpUYMmQIOp2OFStWKPYr7NVoNHL+/HnWrVvHK6+8onT8k7YmUWMq0AX48ccfNeOxsBkh0AUYMGAAjo6OhbLr+Ph4tm/fzu7du/H09OSVV16hffv2yvPqTSL13NfCwkLplnv48GFOnz4NZBfm6nQ6KleuzLJlyxSBmqTkMbWRspJwIOYRZmZmdO3aFQcHB3bv3s0vv/xCenq6Yk8iWUnMPSIiIoiIiOD333+nQ4cO+Pr60qZNG2rWrImdnR0VKlQgMTGRmzdvEhsbyy+//EJERASnTp1Szq22Vb1eT40aNfj666+pXbt2qXwXkvwhOhqrxTki0e3SpUs89dRTpXl5GszNzbGxsaFKlSqax3PqmCEpXcT4NnLkSM6cOYONjQ2ZmZlK0SidTseXX34JwNChQ3Fxccn3cS0tLenYsSO///47SUlJSmcUuD9O3rhxg3nz5rF27VpcXV0LtY56GIQPvnLliqari4itVa9evcSuRVJwcouP63Q6xZZ0Op0iFJw4cSLu7u55HtNUmPvXX39pimIKGxF+WO3L1PMNMc6K16sTdtTjuvq86jmnmGvGxMSwZ88eALZv347RaMTV1ZXBgwfz8ssvP/yXJykTCIEuwC+//EJqaqqS9KW2YZH4NXHixBLf41EjBLpwX/iuXv/r9XpsbGxIT0/nk08+oWbNmnTq1KnEr1FSeIRAF+4LF9TrErVdLlu2DICpU6eW5uXStGlT2rZty65du7I9d+bMGeLi4qhYsaLcN5LkyNixYwH47LPPNPYNWWuu1atXk5qayvDhw5ViSRKJRCIpHtRz3TFjxgCwdetWQkNDlViSEEeIfQRJ6VG1alVeeukl7O3t2bFjB3fu3NHsocP99a3Ym65SpQr79+8nNjZWE9sUa2FRtHrLli1s3LiRSZMm0b59ezp06PDQ65+2bdvi5eXFjRs3lGu6ffs258+fp379+poiSbkhBLqLFy8mMDCQzMxM5fqFMGLv3r3cuXOHDz/8UBa+fARITk4mJSVFWX+LeLWdnV1pXxpwP941fvx4/vnnH2V/SF3s7dSpU9y9ezdf3RvVAt1NmzaxZs0a3nrrLaDs7JNJJJLyi6lA94033iA6OlrZH1fn3AkyMzMxMzPTiB/9/Pxo2rRpiYsf1XNPWdSgfCEEugDffvstAQEByrxQFFq1sLDg9u3bgFaYW5odc6VtSiQSiUSSN1KcKykUj4JAV1KyPKhjrhDmrlixgu7duz/UOTp06EDz5s25du2aJsFM2FRxdLEVyW2NGzcGsoQOImAfERGBwWDA2tq6yM8tKf+o/aJIbDQV6IoqrpcuXeLTTz/l3XffLTaB7vvvv8/7779PYGAgy5Ytk8LcMoCrqytjx47Fzs6Obdu2cevWLcXnCb9rbm7Ob7/9BlAoga54T2JiIiNGjFAqP6uFOXDfHv744w+2bNmi6QqRWxfJn376Cb1ej5ubGzVr1qRmzZo8+eSTuLm50axZsxyvNT8bkpKyg7BJIX4VY774++LFi3Tr1q1Y/EjFihUZMmQIer2er7/+WpOga25uTmpqKgcOHKBWrVqMGDECBweHIr8GyaNPaQh0MzMz+ffff9m+fTu3b9/m5s2bjB07lpdffpkmTZrQo0cPTdVWuO8bg4ODOXbsGL/++itBQUHKc+oKlWK+WqlSJdatW0etWrUK9f38H3vnHR5F1cXhNwlpBAgJgUAooXdCly6gooJKk5YQuoBKR1CqWABRJHQUadK7qKh8AipFamjSBClJSAiEQEhIL7v7/cFzh5nNJtmE3RS47/P4GLbMzO6euffcc8/vHEnOUdvGqVOnaNKkSb5aF6u77TVt2pQyZcpQo0YNAgICSExM1Ah41Z3QhY39/fffHD58GCcnJ0UM6erqSmJiIhERETg7O5OYmKgRC6m799na2lKvXj3mzp0rE40LAPXr16dWrVr8+++/iu2IsWfHjh106NAh3wishd2KokPqTr9FixalRIkSeXyFEjXx8fE0bNiQf/75RxHhiE6eaoGujY0NvXv3NlugC/Dqq69y/PhxNm3apFljC/Hv1atXGTFiBOvXr1eqoufWOsTGxoYrV67w3XffKWOimMu7dOlCvXr1cuU6JDnHkgJd9bp45MiR6TrmqrvUCztxcXGhVKlSJCcn4+DgQExMDPHx8ZrkSYG4FpHgIcZFta8iYp3q7rrCNtPS0khJSaFEiRL079/fot+jJO/ITKCrHoPzu0DXYDAocYjXX39dCnMLOBkJdI3H1rwW6AqfoXHjxvz444+KXyzGXjHmyvimJDMyEujq9XqNH2Fra0ufPn3kulkikVgV4eOlpqY+t926TQl0t23bxs2bN9HpdHTp0oUvv/wSkAno+QEvLy9lfWAs0IXH8cDr169jZ2dHo0aNWLt2LXPmzOHKlSvcu3dP2UcElL/F+nj58uX88ssvNG7cmFGjRuHm5pbtvaBGjRrRokULtm3bpsztiYmJrFixgldffZWiRYuadZyMBLqiMF1aWhqenp5SmFsAMBgMPHz4UFm/iv0WIF0cO6/Q6/U0aNCAIUOGsHLlSk3Bt0KFChEREcGePXvo16+fWdcqbNTDw0MKcyUSidmIwpPCN1OPl9nBHIGuOoYu9sCF+HHt2rVSmCuxCuYIdAXifpDCXIlEIpFI8jdSnFuAMXZo8srBkQJdiSA3hLnqjZA//viDuLg4ZQEu7Co4ONiCn+oxYnFftmxZTSUieBxIjI2NJSoqCi8vL4ufW5L/MZXMmNFrMiI7At0rV64we/Zspk6dSqNGjSwu0K1cuTKff/450dHRNG7c2Kzrl1ifkiVL0rt3bwCrCXTVwlw/Pz+Twlx1UYSYmBhA2zlNLc5VVycW9hMdHU1gYCCBgYFs27YNgAYNGlC8eHHatm1L2bJlqVatGmXKlEln208TcJXkHlWqVKF48eLExsYqv71Op2PDhg20a9dOKXRhaUqWLEnPnj2Ji4tj/fr1mqRzW1tboqOj2b59O40bN6Zx48ZS/C0xSW4JdMWxzp49y4IFC3jw4IEyVqelpfHdd99RqFAhGjRoQMmSJalZsyYxMTE8ePCA8PBwzpw5owS91ZW11RvkaWlplC9fnm+//TbfCOWeR9Q2MW3aNHbs2MFnn31Gr1698tW6WG235cqVo1+/ftSrV48ZM2Zw+/Zt4uLiABR7gycd9sR7RaJ8QkKCMgcASqKQQL3R6enpSZMmTRg3bpzs7JwLPK29iS565cqV499//01XtOrhw4dcuXKFKlWq5It5VtimSCZV26rxmCnJe4oWLcrw4cMpUqQIS5YsSdcNUaxt5s+fj8FgMLuDrrD7Dz74gJCQEI4cOQI8WbeIxMhz587x/vvvs2zZslwV6MbExLBz505SUlKUz2tnZ4ebmxstWrQA5Hq8IGAJgW5Wwlx1V+Vy5cpRuXJlevXqRenSpfH29laSiB88eEBSUhL37t3jwoULREVFcerUKR48eEBUVJRyPBFjEv4kPEnwMC6+Jc6dkpJCvXr1WLduHY6OjrneaVpiPZ6lDroyKejZoSAIdMX4Wb169XQFC0VRA4nEHDIS6Kr/XrduHYAU6EokEqshfKeQkBA2bdpEly5dqF27dl5fVoZYc61sSqC7dOlSXnzxRSnMzYeULVs2nUBXvT+o1+u5evUqcXFxVK5cme+++46TJ0+yc+dOfvrpJwAlPiTiUKLoyp07d/j555+5cOECTZo0wc/Pj1q1ainnzswOxHNDhw7l7NmzXLt2TYlxBQcHs2XLFgYPHmx2/MmUQFfECbp27cqcOXMAGUfK79jY2ODi4qLEU3Q6nRKnvnz5MikpKXleHEHYdOPGjVm9ejVpaWnKvSSEQqJwsLm2Zhw/kuOnRCLJCvX8aGrMyI4vlpVA1zimk5aWhr29PVu2bKFmzZoWLVyTmfhRxOyl+DF/YVw41ZRmI6e/T2YCXfV+jbBTY2GuJfcypW1KJBKJRPL0yMyJAopwaCIjI7l+/TotWrRIJ9DJTaRAV5Ibwlx4stguUaKEEmgWixARBIyNjX36D2QCvV6Pk5MTRYoUITo6WpPYGxMTw+XLl6U49zlF2EJSUhJBQUGEh4dz9+5dHB0dadq0Kc7Ozpqky4w2RIwFujY2NqxduzZDge6sWbOsJtBVi3jkBk7+ITOBrrCRnAp0MxPmCoQdGAvS1R13TIl0xfHhSbKvCNrodDrOnTsHwKFDh9Dr9ZQtW5bSpUtTo0YNWrRogZeXF3Xq1CElJQUnJycLfJMSa1KrVi2qVatGYGCgYge2trYkJCRw4MABqlWrhr29vVXGFS8vL3r16kVcXBy7du3SVBW0s7MjNDSUWbNmsWXLFhwcHKQvKjFJbgh0bW1tiYiIYPLkydy9exd7e3vS0tI0IgmdTsepU6cA2LNnj/JecV+JwLh6DIbHY7S9vT21atXiq6++omLFipb+iiRmov5dpk+fzo4dOwD44osvABSBbl75WsaxA2M7atCgAcuXL+fnn39m7969XLx4UbE3tY9g3GFPrNMEQggp7i1xDB8fH3r06MErr7yCu7t7bn3s5xYxft2+fZvg4GCaNm2Kg4NDto5ha2uLk5MTPXv25K+//lJ+W/FcfHw8ixcvpnXr1ri6uuabdURycrIiLBP2WapUKY0QUpI/cHNzw8/PDyCdQFctTMhOB13h6xUuXBhfX1/u3LnDzZs3lefFmsTOzo7Dhw8zbtw45s+fr8zN1hYenj9/ngMHDijCStE5t0aNGrRv3x4wP8lNkreYGx83JdBVJ/eMGjVKI8xVj1M6nY6mTZsybtw4KleubNL+ixYtio2NDbVq1aJt27YAxMXFodPpuHjxIpcvX+bGjRucOHGCtLQ0IiMjNfO2SPpQJ38IgVndunXZsGGDFOY+oxRUga6tra1SoEudkC7X+88GGQl0jcfWRYsWYTAYGDFiRJ5c58OHD9Otz/V6PUlJSSQkJFCsWDHpc0qyxJRA19gPlgJdiURiLYTvdOvWLXr27MmjR49ITEykb9++1KhRI68vD3iyNkpMTMTZ2TnLwtlPi7FAt0qVKrRp0waQvmZ+xByB7u3bt/niiy+IjY2lW7duvPDCC7Rt25ZTp06xY8cOUlJSANLF7G1tbQkKCiIoKIgff/yRoUOH0qRJE1q2bGmyULVAPOfu7k6DBg24du2astYGOH78OAMGDFD2zM2xZSHQnT9/PqdPnyYlJYUuXbrIdVABw83NDUdHRxISEjT5FDExMdjZ2eWbWGDbtm156aWX2Lt3r6Y4u4gxPXz4EFdXV2lzEokkRxjvz0VGRpKcnMyxY8eIiooiPDyctLQ0nJyccHR0pHbt2ri5uVGrVi3c3d0znYNNYY5AV0358uWJiIigZs2a2NvbW2SOzUr8KK5Fih/zFuOcSLUu4969e9jZ2SkFrF1cXJQcIVPHMAdzBLrwpJnKrFmz8PHxsegejeyYK5FIJBKJZbAxGHsFknyPumJl3759uX//Pt26dePFF1+kXbt2ODs7K6/N7UTI+Ph4du/enS4BCVAcUoCZM2fSo0cPzeeRFFxyS5hrfL633nqLa9euKYshsSAZMGAAkydPfurzmMJgMODv78/p06c1woi0tDQ+/fRTRTQnefZRd4NMTk5mzZo1nDlzRunCI3B1dcXFxYWxY8dSr149KlWqBJhXRRVgxYoVikAXnmziiHPXrFnT4gJdSf4nMjKSrVu3agS66g0RERDp1KkTAQEBAJkGZcwR5hof2xixUaQOEAmMA1dq91MdRBIJv8bvt7W1xcPDg/Hjx9O1a9ecfWmSpyK73UDXrFmjJOyKYKFer8fLy4s1a9YonZ2sNW4FBgbyzTffcPToUeCJ7Qp/tFevXnzyySfSB5VkijppY9GiRYpAF7SdwQ0GA5UqVcLPz49u3bqZLdDdv38/X331lbKxpO5UblwMQVyHelPGODlEPF+qVCnatGnDiBEjZOGYPMRYmLt9+3alOIWotjtp0iT69u2bJ9cnxuCIiAhu3rxpsjujugJrbGwsq1ev5uTJk5w/f145jrBb4/ld3WVPHE/M7R4eHrz44ou89957eHp6ZlsgKsk+6gTLN954A0dHR+bNm0eLFi1y9P0HBQUxevRorl27pqyH1fbt7+/PxIkTcXR0tMKnyR53796lZ8+eREZGKvao1+vp06cPn3zySV5fniQDoqKi2LRpE0uWLAFQ7Mz473Hjxpkl0BXEx8ezZs0aNm3aRFRUVLq5WthH+/btWbRokdU66Ip78u7du4waNYoLFy5oxJdeXl5888031KhRQ8ZNCyCm4uPG4ySAv78/Q4cOpUSJEpl2zFUnfrRu3ZpFixZRuHDhbF2TKTt++PAhjx494ujRo0RGRnL48GEePHhAeHi45nWOjo4kJyfj4+PD+vXrpTD3OeC///5jw4YN6QS66jg4wAcffMDQoUOBvN3jCQoK4rvvvkOv18suZs8wYWFhbN++PV0HXdD6BqNGjcoTge4vv/zChAkTNCIeg8FArVq12LZtmxwzJdni+++/VwQ2pvwIOzs7+vfvLwW6EonEYqjjRr6+vjx48EB5rkePHvTr1y/PBbpiTRMaGspHH31Enz596Ny5M2D9nKiMumNJ8ie3b99m8+bN6QS6IuZjY2NDuXLlGDx4sCLmTU5O5urVq3zzzTdcu3aNsLAwxa8T7wc0c7GrqyudOnWiT58+lCtXDicnp0xt48aNG/Tq1Yv4+HiN/zpp0iSlQEd2OH/+PNOmTaNOnTpKMVBpmwUDIRTv0aMHMTExmjwPg8HAwoULee211/L4Kp/Y0/r165k1a5ZmDxOgePHi/PTTT5omBRKJRJITAgMDuXLlChs2bCA2NpaoqKhMX1+5cmW8vLzo0qULtWvX1jQfMWcuFL7jqVOn0gl01a8BqF27NoMGDVKKcj7NXCvFjwUD9V5KSkoKly5d4sSJEwQGBnL37l2CgoJwcHBQigZ5enpSuXJlPD09efPNNxUBuanjZUVqaipHjx5VBLqAJn9S5GNUq1aNuXPnUrNmTYt8ZnNE4+JvaZsSiUQikWSOFOcWMEwJc4UDVrhwYSpUqMDAgQOpUaNGjp28p8XcBCQp0H02yG1hrpouXbpw7do1RZyg7tAsqvxbmrS0NN59913+/vtvjRhCp9PxxhtvMG/ePJmg9hwgxqzo6Gj27t3LL7/8wsmTJ5VFsIODg2ZhLDZpmjdvTteuXc0K2kiBriQrLCXQzUqYK8Y4gaOjI05OTnh6emJnZ0dycjIPHjxAp9MRFxenObZ6w1Pd7VyNuGa1qEe8RnSr0uv1yhgrsT7qRIaHDx/i5uaW7WPcuHGDnj17kpCQoOlcm5aWRqNGjVi1ahXOzs4W9wHV175nzx4WLlxIcHBwuo3NypUrM336dFq0aJFvuvpJ8ifWFugeOHCAbdu28ddff6XrRmo8PhqPk+riNOLf9evXp3PnznTs2FF2Is1DMhPmqgsWtGnThqVLl1qtm3hGqJPZ+vbti8FgYObMmUp3vcxsNywsjDNnzvDzzz9z/fp17t69q3leFOsQ635hm4ULF8be3h5fX1+aNm1Kq1atrPshJQqm4kjwuAvZtGnTaNmyZY4EuosXL2bp0qUA6ebZatWqMXbsWF566aU8n2Nv3bpFnz59iI6OVjYQdTodo0eP5v3335d+QD7GlEDXVAFAcwW64rd++PAhs2bN4n//+5+m+7NAjNEvvPACS5cupWjRopb/cDyOn7777rsEBgZqhLlFihRh0KBBDBgwgCJFiljl3BLrY24BS19fX8aPH0/RokUZNWoU+/bty1CY27ZtW5YvX57uueyg7uZo/P7Y2FhsbGw4ffo0165d4/z58/zzzz88ePCAChUqsGvXLinMfY64cuUKmzZtUgS6avKjQDcyMpKSJUvm+XVIHmOOf5WT3yk/CnR1Oh16vZ4pU6awe/fudGv6li1bsnr16ly5FsmzhbFAVwghhK3b2dnRr18/+vTpQ8WKFfP2YiUSyTNBSEgIfn5+PHjwAHt7ewwGgzK35rVAVx3L9PX15f79+1SrVo2RI0cqAjYZ35GoMUegW758eYYMGaIpvh8dHc2tW7dYvXo1R48e5dGjRwCZ7ptXr16dOnXqMGrUKMqUKZOu8CU88X0XLFjAypUr0el0ynGaNm3Kl19+maNCq6GhoZQvX15zDknBwGAwMHjwYI4dO5auwM/IkSMZMWJEvhnXgoKC6NatG8nJycpjdnZ22Nvbs3HjRmrXrp2HVyeRSAoa6sLQUVFRLF++nL1792ryL8TesjrvTew/p6amKvvtzs7O2NnZMWzYMBo2bEjTpk2zfR0ZCXTV832dOnUYOHDgUwl0pTA3/2M8765fv57Tp0/zv//9T3lM2F6hQoUUe1Tn8Njb2+Pk5ETXrl1p3Lgxr732Wrbn8owEusbFYipXrsyCBQuoXr36U31uaZsSiUQikVgWKc4tQJiqWGlvb49er9d0qXN2dsbZ2Rk/Pz+aNGlC8+bNc/1azU1A+vzzz+nZs6fm80kKDnklzDUYDFy5cgVfX1+SkpI0AW6A+fPn07FjR4udT31eGxsb5s+fz/Lly9OJIZo2bcr69estfl5J/kLdZeyrr77i5MmTShcmdaUoeCJGUBcpKFOmDIMHD1YE5OYKdL/77jvWrVsnBboSDU8r0M1KmKues2vXrk2tWrXo3bs3JUqUwMvLCxsbG1JSUoiNjcVgMHD16lWCg4MJDg7m1KlTJCYmEhwcrAlGqYNV6vvFONClvn4Z4Mk91L/D999/z/nz5xk2bFi2Ku6JYyxbtoylS5dqRNkimN6vXz/GjRuHg4ODxTcX1cf77rvvCAgIMDlG+/r6MmPGDIudV/LsYg2Brnosu3btGgcOHCAgIEAzVqrFE2rU95MYo4sUKUKHDh0YO3Ys7u7u2NvbW+fLkGRJVh1z4YmPWLlyZbZt25ar4itjYe69e/dwcHDA29ubDz74gHbt2qX7HJB+/k1ISCApKYk9e/YQHh7OlStXCAoKolChQqSmppKcnEzx4sWpXLkyxYoVo0uXLnh5eSnJQqbOIbE8amGuv78/kZGRmgTLnAh0xTFv377NBx98wLlz55TfUT1mvfTSS3zyySeUKlUqT/23BQsW8O2332q6jpcqVYqNGzdq7FGSP8mog67xuGquQFfY4r1795g8eTJHjhwxOQ6JxItatWrx6aefUrVq1Wx3Ks2MiIgIJkyYoAhzxfyv1+tp0qQJn376qabau6RgklEBS9CKyPr3709QUBCHDx82S5hrLXGsqbE6Li6O0NBQqlatqhTPksLcZx/ho92/f5/x48crBQnVz+dHga64Nulf5g3q7z4hIYHr168TFhbG9evXsbW1xd3dnaJFi1KvXj1Kly6Nk5OTyfdmhSmBrqk4Zm4IdIW9x8bG0rNnT00MVNwj4jry+t54XjH+3gvaGGFOB10p0JVIJE+LwWAgNTWVIUOGEBgYqPj9oJ1b80qgq45l+vn5ERkZqewvent7M27cOF599dVcvSZJwcBcge7QoUOVnDU1f/zxBydOnGDdunXKY5mJdD08POjRowetWrXSiIPU/sjRo0cZNWqUpnuunZ0dCxYsoEOHDmb7KsavK2g+juQxEydOZPfu3UrcWthm4cKF2bJly1OLbSyBTqcjJiaGrl27cu/evXR2980339C+ffs8vEKJRFKQEHNiTEwMv/32G7t37+bMmTMZFiVXoy5mrn69WCeXL1+el19+mVGjRuHk5KQZWzMiK4Gues/zaQS6UvyY/xHfdUJCAufOnWPz5s3s27dPE+fLyjaFrylsxtnZmXr16jF69GgqVqyIh4cHYJ7fllkHXXVc6GkFutI2JRKJRCKxPFKcW0AQTllISAi+vr5ERUUpgXG1w6YWsgC4ublRv359/Pz8qFq1qqbanrW76UqB7rNNXgpzbWxs2LdvH2PHjlVENuIeqFGjBmvXrsXV1dVi5zRm+/btTJ8+XbPwt7Ozo2zZsmzfvp1ixYpZ7dySvEXYfVhYGKNHj+bff/9NF/wB7UJa/bwYm4sUKcK7777LO++8A0iBruTpyKlAF8hQmGucaPn2228zaNAgvL29FUEHPLE9IXxUk5qaSmpqKqdPn+bBgwccP36c4OBgQkNDefDggfI6EUBSd4tSX4cM8OQe6rFr/fr1zJo1C4BevXrRt2/fbCddBAYGMn36dIKDg5VApLAdb29v3nvvPd566y2rjFdqW5k6dSo7d+5UxmJhtwArV66kdevWFj+/xLKobdPaa5iMsIZA1/jxM2fOsG3bNs6ePUtISIjmtcZrP4PBgKOjI4UKFcLf359GjRopXU8leUd2hLlArotzTSWzOTg4kJKSgq2tLdWrV2fMmDFmJVOYmpPj4+MBSElJAcDBwQEXFxfLfxBJtrh37x4vv/wyqampODo6Kr+PsMucdtBNTU1lyZIlLF++PMPENHUhjNwcv9X34ujRo9m7dy+2trZKUYM6derw3XffUaJEiVy5HsnTYekOumL8unv3LuPGjePs2bMmu+cKeylfvjy9evXilVdeoVKlSsprspP4KF4bGxvLxYsXmT9/PufPn1c2tsW5PDw8CAgI4IUXXjD365FYCHPWmjlZj2YUHzdec8OTQkZ5IcxVI+zVeNzOKz9ckruo4z2//fYb48ePV/4tnjcWH0L+EuhK8pbvvvuOM2fOcPjwYU0cSFCmTBlKlixJv379qFmzJtWqVcv2OTLqoGu89ho9ejTvv/++RT5XZnz55ZesWbPGpOBj3bp12ercIrEcYiyKiIjg5s2bNG7cOFvrnfyCKYGu+m8p0JVIJJbi3LlzfPrpp/z777/AE/8vLwW6pmKZ9vb2Sud6e3t7SpcuzejRoxWhhESiJicC3ZSUFI3PcOzYMX7++WeOHDmiiBPVAgx4cp/Y29tTqFAhBg8eTNu2balXr1669fWcOXP4/vvvgSfzebVq1Vi5ciWenp65+wVJ8gSxrt6/fz8TJkwgLS1Ns56xtbVl2LBhDBs2DHt7+zwVXotr9fX1VWKoagHdhg0baNKkSZ5dn0QiKTioC6cuWbKEQ4cOcffuXU2RfWNM5V4aP2Ys6G3VqhVvv/02bdq0oWjRolnGKa0t0JXix/yP+K6joqLYsGED+/bt49q1a4ptihygjES5xqhzIHU6HSVLlqRZs2b4+/vToEEDs6/L2h10pW1KJBKJRGIdpDi3APHo0SN69+5NUFCQJqESTHeb0+l0yuKlePHiFC9enGHDhlGrVi1q1aqV4XstiRToPpvklTBXcPfuXYYNG8Z///2nLDqEPbVv354lS5ZYJVlM3Ct//vkn77//fjqhkY2NDdu2baNevXoWP7ck71FvAA4YMIDw8HBNpTWRTGsc+FGPe+qgjb29PaNGjWLYsGGAFOhKno6MBLoiGGlKoAuY1TF3wIABTJ48WXlPZn6DuqqrEEEKxGMhISFcu3aN69ev8/fff/Pw4UNu3rypCbiK+6hLly58+eWXyvulf5A7rFu3jtmzZ2sey2nSxZIlSxQhhdoWAZo2bcqYMWOstmknxu3IyEjGjx9PYGBgug6+w4cPZ9SoUdK+8jHqTjRFixY1+RpTmzHWvBZzBLoVK1bEz8+P7t27ZyrQNf4MCQkJJCcn8/PPPxMaGsqJEyd48OABtra2JCUlYWdnR+3atSlRogRvvPEGFSpU0HTWk7acd2QmzBUiHGMbKFGiBJs3b6ZcuXJWT7DIKJlNJH0IX9LT05MNGzaY3VFUfV8Y25763gSs/hklpgkKCmL69OmcOnUKMF1ZN7sCXfHbmuNLvvfee4wZMwbI/TFKLSpS+5ozZ86kR48euXYdkqcnow66xn9nV6B7584dPvzwQ86cOaPcF2pxpBgbixQpgpeXF6NGjaJ58+Yan0Q9DsITWxNrMcH169fZuXMnf/75JyEhIemEuXZ2dnzzzTe8+OKLlvzqJGaSkJBAdHQ0ly5dIjQ0lLS0NIoUKULRokWpXbs2Xl5eODs7K6/Pjt+ZWQdd9dpdneAIeSPMlTzfqO36xx9/ZNKkSQDphORgWqwhBbrPL/Hx8Zw4cYItW7Zw6NChdHFxMaeqY+cuLi54enoqhduyS0YCXdDarLUFuidPnmTOnDlcvnxZsy4yGAy0bduWr776ShZzzQPE7xASEkLXrl0pW7YsH374IS1atMDe3j6vLw/IXldf2UFXIpFYGzEGXbp0iUmTJnHt2jXAtM/39ttv079/f6sLdDOLZcLj8VDkpKhzjSQSY4wFusZdSk0JdI2LU8XGxnL37l0CAgK4evUq4eHhgHZfSNwvIj5UrVo1fHx8GD9+PEWKFMHR0RGACxcuMGXKFEX0AVCsWDFmzJhBp06d5FrqOeLKlSv07t2b5ORkjRDMYDBQpUoVvv/+e0qWLJkviqX169ePwMBA5d8iPrVt2zZq166dV5clkUgKCGJuCw8PZ/LkyZw7d47k5OR0jVDgid9pSviYWfdSdeHgsmXL0qpVK0aNGmXWOJqVQFd97OwIdDMTP4q9ISl+zFvUhd1mzZrFiRMniImJ0ewVCn9NnU9hZ2enaQohbDIzDYezszMff/wxHTt2VPbis9pnslYHXWmbEolEIpFYDynOLWAMHz6cgwcPmkzcEagXLsaiGAAvLy/at29Ply5dqFy5sqZLjzUcqIwSkIyrWEuBbsEgr4W5ycnJbN26laVLl/Lo0SPlcYPBgIeHBytXrqRmzZpWFWdERETQrVs3YmJilEVWoUKFKFSoEEuWLJEd+J5B1BuA/v7+REREKEEf9TgG4O7uTpEiRRQRokBdvQqeVHAbNWoU7777ruY8plCPiytWrGDt2rWZCnSnTJlC48aN8zxQL8k9zO2g+/rrr7NgwQJSUlLo1q1bpmKKwYMH8+GHHwJPX8wjo7k9KSmJEydOcP/+ff766y/u3bvH5cuXef311/n6668zfa/E8hgne8GTTsvZEeiK30yn0zF27Fj27dsHPBHFCnt79dVXmThxotkisJyQlpbG5s2bCQgIICUlRVMV29PTkx9++EF2zsunqJMpR44cSfHixalevTqNGzfG3d0dHx8fbG1tcXJy0rzPmsIFawp0xXvVr0lJSSEtLQ29Xq90N81KcCTJfbIS5orXgLaKaqFChdi+fbumeJY1yCqZTT33T5w4kSFDhlj1eiS5z40bN5g7dy4HDhwALCPQFXZ17tw5Ro4cyf379zUFrNSiiPHjx5tVlMiS3Lp1i5kzZ3Lo0CFlg1Gv11OrVi1mz55NzZo1rX4NEsuSUQddY3szV6ArbDgiIoKZM2dy9OhR4uPj0226q4tsAbRu3Zr69evTvXt3ihUrlmHxEMGhQ4f477//WLVqFbGxsYqAAlDs0tbWlkWLFilxNGsXHJFo2b17N/v37+fEiRNER0ene97Dw4OSJUvSp08f6tSpQ926dbN9jswEusaFLMQ6SgpzJaJjU26MCVkJc9W2CWhiTlKg+3zz4MEDVq1axYEDB7h586am44mpjhLi/+q5dejQofTu3Zty5cpl69ymBLqmfIPRo0fz7rvvWswexf0SFxfHnDlz2LFjB5A+JiDXVnmDOpbUt29fJWbTqFEjhg8fTsuWLfNcoCv80KioKO7du6esTbIj0DWO5UuBrkQieVryk0A3s1im8Tyv9j8lkozIiUDX1HomNTWV06dPs3fvXrZu3Qo8tlf13CzWTWKtX6lSJV555RU6duxI7dq1SUlJYcaMGezatUvjv7Zo0YI1a9YAMi70PPHVV1+xevVqkyKwDh06sHjxYiDvbELEowYMGMCJEyc0uaoAmzdvpmHDhrl+XRKJpOAg5tPQ0FDef//9dD6mumClWpTr5uZGsWLFsLW1JS4ujujoaHQ6nTJvGzdLEccS8SYHBwfq1avHV199RdmyZXO9g64UP+Z/xHd9+/Ztxo0bx/nz5wGt9gK04uysUNukeu5WH2P48OF07txZKcCfU4FuTjvoStuUSCQSicS6SHFuAUE4N2fPnmX06NFERkYqTmDhwoV54YUXiIqK4u7du4ogR2CcJCHe5+XlRdmyZXn//fcpV66cRhRhaWdKCnSfDTIT5qoDcMuXL6dt27YWPbdYiFy+fJkpU6Zw5coVzWaQTqejU6dOTJ8+3eqChYcPH/LGG28QFRWlLMjE9zJq1ChGjBhh1fNLchd1BbchQ4YQFBSUTpjr7OyMj48Pb775Ji1btsTLy4v4+HguXLjADz/8wJEjR4iKikoXGDIl0LVUB90aNWowdepUKdB9zjC3g26HDh0IDg7m2rVrGSauqYW51qjIauqYYrPy0qVLShdy6Q/kDgaDgaioKN5++23u3r2boWA7OwJdMXeru4iANuEcoFu3bkyaNAlXV1crfbrHYo5+/fpx48YNJVBpZ2eHk5MTixcvpkWLFnKzO58h7v1bt27Rp08foqKiNM/b2tpSpUoVChcuTPPmzSlfvjy1atWiWrVq2NraphMvWLK7rrUFuurrNR4r1V14QHYizQ9kJsxNS0tLV5RAPQYBrFy5kubNm1vt+rKTzKZOHpfz77PH9evX+frrry0q0IXH8Z5169axatUq4uLiMqwmPWnSJAYOHAhYx7dUk5aWxrZt2wgICCAuLk4jGh46dCgffPCB1c4tsS7W6qB7//59li9fzsGDB7l165ZGWCQwFVd1cnKiadOmeHp64u7ujpOTE/Hx8cTFxXH+/HkePnzI+fPnNcUQ1HM8QMmSJZk1a5bSMVf6pLmDwWDg1KlT7N69m23btimPq+M98CRRQcR+HB0dGTt2LG+++aZS8NLc3ywzga4xzZs35/vvvwceJ1/ktYhIkvuEhIQwfvx4pfieNccGczrm2tvbk5qaSqFChbCzsyM5OdmkLwFSoPs8cffuXT799FMCAwOJi4sz2VXCGLW9qe2me/fuDBgwINsiH3M76I4YMYKhQ4emK+6VXdQ2vWzZMhYtWqR8FhEHMBgMtGrVilWrVqX7zBLrohbm+vn58eDBAxwdHUlOTgbyh0BXvUbv0aMH9evXZ/To0WYV/zAl0FWv66VAVyKRPC35QaCbnSKDEyZM4J133gGk3ynJGmOBrogXmivQNbaxv/76i+PHj7Njxw7i4+OBJ/uf6v0bId61t7fn/fffp0OHDhQvXpw+ffoQHBysOf706dPp27dvbn4tkjzmp59+4qOPPjLZhdnJyYnRo0crMfW8QK/XExcXR+fOnbl7965GZOTp6cnmzZvx9PTMs+uTSCT5G7Uwd8CAAYSHh2tEhcaix3r16tGxY0caNWpEmTJlKFmyJGlpaTx69IiEhARCQkLYv38/Fy9e5NKlS8r7TIloxT5OyZIl+f7776lSpUqW8RlLddCV4sf8j9o2hwwZwq1bt0z+1sKOSpQogYeHBy1btsTFxUWxzf/++4/o6GjOnTtHVFSU0tQqsz1GgDfeeIPu3bvTqlUrzfVkhKU66ErblEgkEonE+khxbgEjMjKSd999l0uXLmk2ll9//XV69+7No0eP2LJlC8eOHVPeYywGM3YenZ2dKV++PF27dqV9+/Z4e3tbxZkylYBkSvQhBbr5m9TUVAYMGMCZM2cU51y9qO3evTuzZ88GLJdwK44TFxfHyJEjOX78uGIXtra2iu18++23tGvXLtNjqDuf5ARhk4MGDeLEiRPKsdLS0qhbty4bN27E0dExR8eW5D9E4OXBgwdMnDiRo0ePphPmFi9enLFjx9KsWTMqVaqkvFfdhefgwYN888033LlzxyyBruygK3kazO2gC6ar7IP1hbkZYTzvSz8g9zl//jwff/wxV65cAUwnXWRHoAuPu/18//33rFmzhocPHyrHVR+zb9++fPTRR2YLgbKDsKNffvmFSZMmabq3SJFO/sRUMqWDgwOpqakagZVxJ1JnZ2c8PDzw8vKiZcuWlCpVimbNmuHk5IS7u7vJc+RU5JobAl1J/sccYa5Yr1SrVo2kpCRCQ0MBFPsRglhr2EV2hLkyme35wJRA17iybk4Eujdv3mTx4sXs37+f1NRUkxvhhQoVYty4cVYVgItjnjlzhtGjR3P//n1N0nqTJk1YsWIFzs7OciwuwGQk0DX2L8eOHUufPn3MFujGxcVx6NAhtmzZwsmTJxX/Qr2Brq6YbZzkkRnqjXgRly1cuDDVq1dn/PjxvPDCC4AU7+QWer2eNWvWsHfvXv755x8gfUVzgbqCv3gvQM+ePRVBjXhPTgW6xlXXDQYD/v7+jB07FicnJ9kx9zlE3e3R29ubuXPn4uPjY5UxIjNhrpg/hTDXycmJWbNmcf78ebZt20ZiYqJmfZZRBzPpWz6bhIaGMmrUKE38SPwn1iHq8U0tHlTHZdR207t3b0aOHEnJkiWzdS3mCnSHDRvGwIEDlfhAdu8p9evXr1/PrFmzlHOo5xBvb28mTJhAhw4d5Nyei6iLvPn6+vLgwQNl/atOoM1Lga56jd6vXz/u3r0LQKdOnRg0aJBSrFJ20JVIJHlJdgW6/fr1UzqAPy0ylimxNpbooGssvrl+/TrLli3jv//+Izg4WNMB0DjuClCpUiVefPFFEhIS2LVrl8aPfOONN5gzZ44s0PWc8e6773LgwAGN/yfWS40bN2bMmDFK7DAvePjwIW+99RZRUVGaWKiPjw8bN26U9iqRSEyizvcQcc6M8tMaNWpE+/bteeedd5Sx0FQBTcH9+/c5c+YMy5YtIzw8nEePHmkEhoDGdyxRogTLli1TYvmZ8bQCXbEfKsWP+Rd1/Kh///6ZNq/w8vKiYcOGjBo1iuLFi2e43xgaGkp4eDgbNmzgxo0b3Lx5U7O3JOZP9bFbtmyJn58fr7zyiua6MuJpBbqZCXNFYXlpmxKJRCKRPD1SnFsA2b9/P6NGjVICesIxHD58OOPGjQNg7dq1nD59mr179yrvUwf/1I+pK/TXqFGDatWq8d577+Hm5qZJYrfEJrLsoFvwmTx5Mrt27cLe3l5J0FF3IqtSpQo9e/akf//+msTDnKJeYIugpLp6pOCLL76gW7du6PV67t27R2xsLA4ODhQuXBi9Xo+zszPFihUzeT05ucZp06axY8cOxYbr1avHhg0bcHR0TBcUkBRs4uPjWbp0KVu2bCEhIUEzXpUoUYKAgABeeOEFZXw0NVbGxcVx/PhxvvzyS0JDQ9N17rOmQFd20H0+yUygC082dIQt5mbHXEn+xRpV0cUxY2NjmTlzJrt371YeNz5mv379mDJlitWSFs+fP4+fn5/ie4rA+dtvv60kVEryD0FBQQwYMIB79+5pEnAE6rlU/Jamuo95eHjg4OBAw4YN8fb2pmrVqvj4+ODi4oKbm5vmtWrBrjl2KAW6zzfZEeY2aNCA5cuXM378eI4cOaLpKKWedy2JTGaTZIS1BLqnT59m1qxZ/Pvvv+m6lQt7h8ddy0aNGmXxzyXOdePGDYYMGaLZTBVdTkePHs1bb72ldLSWFFzMFeia20FX3c02OjqaRYsW8fvvvxMTE6OMmepkSWM/RN0RXafTKf6EccKGiON6eXnRpUsXOnXqRLVq1TTHlVgXnU7H559/zu+//64UDlLH17P6DdT21a5dO/r27UubNm2ydQ2ZCXTV46Wfnx/Dhw+XHUieM9SiMgcHB1JSUihbtizz58+3uEA3Ox1znZycWL9+PfXq1ePKlSts2rSJ3bt3awS6oL1HpED32SU0NJTBgwcTGhqq/P7G3U7EmtvOzo7U1FTi4+OJiYlRns/IbkaOHMnIkSOB7M2NpgS6xl1F4bEA2M/PT4ln5cQ2N2zYwMyZM4H0wlwnJydFZFy0aNFsHVeSc4StBAUF0a9fP+7fv6/psmi8n54XAl1Ta3QnJyeSkpIAePPNN+nfvz8+Pj5ZHstYoGssRhcCXV9fX7y9va33oSQSyTNLXnTQlbFMCWTP/8vpHvbTdtBVoy74FhYWxtq1a/nzzz8Vv1ftK5pqopGYmKg8J3zjRYsW8eqrr2b7c0kKHsJ+Dh8+zIwZMwgPD08n5AF46623mDBhQq7Hh8T9KAoTiXinmAMGDRrERx99JMdhiUSSDlOF2DMSP3bv3p1evXrh4+Oj7KtnlHNrnMsRHBxMYGAgq1evJigoyGQBTuFDuru7s3jxYho3bvzUHXTVY7SxQFe8Xwpz8yfZEY2/9NJLvPXWW7z++uuaIr3qXF/xb2EziYmJhISEsGbNGn799VflWGoRrTqG2qBBA/z8/OjcubNyzMxsM6cCXdkxVyKRSCSS3EOKcwsgd+7c4cMPP+TUqVNKQqFw5ObMmUPXrl0BiI2N5fjx46xevZqQkBCioqIUZ0ztlMETx1I4i6VKlcLb2xt/f38aNmxIqVKlLHb9soNuwSY4OJgJEyZw8eLFDBeeFStWpE+fPgwYMEB5PCe/n3rBPXLkSPbv36/YvDpprWrVqnTv3p3AwEBu3rzJ/fv3iYuLw9bWFicnJ9LS0nB1dcXb25uiRYvSrFkzPD09qV69OuXLl8fe3l6zsBGfw9Q1i/tn+fLlzJ8/H0DTMVcKc58dhN2eOHGCzz77jBs3bqQT5q5YsYLatWubfczly5ezYMEC5d+5JdCtU6cOEyZMoGnTptI+8wnZGRdzOoaaK9BVb/iJTRSQwtznFWskXQgbfvjwIaNHj1YCfab8P7UNWoM+ffpw7tw5zdjr4+PD2rVrcXZ2ttp5JdkjLi6Ozp07Ex4ejrOzM0lJSSY7mAmMA+HqQi7GCcI2NjYUK1YMFxcXmjVrRqlSpWjdujWenp6ULFkyQzvIKvlCCnSfL7IjzK1fvz7r16/HwcGB0aNHs3//fuCJn9akSRPWrFmDjY2Nxfw0mcwmyQprCXQPHjzIp59+qkkkEqjHY19fX4YNG4anp6dFinoJLl++zMiRIwkPD08nduvcuTOTJk3KUqQpKThYuoOuMfv37+f48eNs2rRJc3+o/YuMuuaqu6SIDW2AYsWKUaNGDSZMmECVKlUoUqTIU3wDkuySlpbG6NGj+fPPP5XHxJpXCKzVhV7UcXR11X21uOell17ivffeUzrdmYu5BSz9/f0ZOnSoFOg+J4SEhNC7d2+io6MV303E1i0t0M2qY674Wwhz161bh4+PjzIG/vfff2zYsEEj0FW/Twp0n11CQkLw9/cnMjJSsRcxbjk5OeHp6UnPnj1p2bIltWrVIjU1Fb1eT3BwML///ju//vort2/f1hTYMh77lixZonSNyA7mdtDt0KEDXbp0Uc5hbgw+NjaWjRs3KvF9U2KLRo0aERAQQOnSpbN9/ZKnIy4ujoEDB3Lx4kXN+td4/yUvBLqZrdHVtt+2bVtmzZqFh4dHlsfMSqBrb2+Pv78/PXr0oEqVKtb7cBKJ5JklNwW6mY2TxueSscxnC+PfMCEhAZ1OR3BwMBEREQDExMSQlpaGl5cXhQsXxs3NjcqVK2d5rMywpEDXeH128OBBTp8+zerVqzU2rO7kp36viI2KObx58+Z8+eWXMg7wHBEdHc20adPYv3+/yTUGPN4/Hz16dJ7sZav3wOCJDa9YsSLbBeskEsmzjylhrij+Zxz/eeeddxgyZIhSUN3cmKf6dXq9ntu3bzNhwgT++ecf5TXqAqpqge6KFSuoU6dOlvlw2RXo9uvXT8nZ79evn+xKmg/JyDZNrTn8/f3p378/FSpU0Lw3M4ztd+vWrfz444+cPXsWeBJHNI5P1atXj8GDB9OxY0eTxzEmpwJdKcyVSCQSiSR3kOLcAsqyZctYtGgRgKZLQ6tWrfj4448VxxDg7t27hISE8O233/Lvv/8SHR0NaJPWxXHEf+oE9iZNmtCwYUMGDRqEk5OT0ok0O12ljJEddAsm6o2RMWPGcPnyZasJdNUi11GjRrFv3z5NFxKBqURIYU+FChXCxsZGWeAbv87DwwMPDw+qVKlC8+bNKVWqFC1atMDGxibdZrxaeGFra0tgYCD9+vWjQYMGrF27Vgpzn2FGjx7N3r17NeNT8eLFWbJkCU2aNDF7HIyIiGDChAkEBgZqqmZZSqD73XffsW7dunSCIHt7e5KTk6lcuTIbN25M1yVQkjsYj4FJSUmkpaVx+fJloqKi0Ol0PHr0CDs7OypUqICDgwMVK1Z86g72mQl0jW1v+PDhjBs3DpDC3OcdayRdCJu6f/8+fn5+3Lp1K8MuJv3792fixIlWSYwbMGAAJ06c0PgFtWvXZvPmzTg6Olr8fJKckZCQwLZt21i6dCmxsbEmO+IK1OOiqeqU5nTXLVSoELa2ttSoUYOqVatSsWJFXnjhBQoXLpzOttWd9dS+qUjekALdZ5/MhLnqiqeiY+66desUYePUqVPZuXOnZv4tUaIEe/bsoVixYha5PpnMJjEXSwp01ffF/v37mT59utKRUj3Gqe2vTZs2iijCyckp2zaoPmdUVBSBgYHMmjWLe/fupROK1KlTh0WLFlG2bFnzvyBJgSAqKooNGzawbNkyQOsD5FSga2yLZ8+e5bfffuP48eOKXyywt7fXJMwBishCXYjGwcGBN998kzZt2vDyyy/LtVYekJaWxrBhwzh69Gi6Th/CblxcXHBycsLV1ZWUlBTi4+OVsQxI97uKv3v16sUHH3yAq6trtny7jOLjoBXZSIHu80F8fDwjRozg+PHjSrKWcczdUgLd7HbMVQtz4cl4Z0qgK5J6pED32cRUxxMxlrq6uuLv789LL71EnTp1lPekpqZq4jsnTpzgxx9/ZPfu3enmTGE3TZs2Ze7cuTkSuN6+fZudO3eyevVqkpKSMow9VatWjZdffpkxY8ZoEjqN97sEBw8eZM+ePfz444/KtRoXnatUqRLffvut7FSaRzx69IiPPvqIv/76S7PnDNp4kVrkkBsC3ewUzxo/fjzDhg0z+9gZCXRF53WAuXPnajr4SCQSSXbIDYGujGU+nxj/fkeOHCEkJISffvqJ6Oho7t+/T3x8vOY9wv9yc3OjQoUK1KhRg5deeomKFStq/C9z10qWFOhC+r31c+fOsWPHDo4fP05YWJimkJu6AJjxflaJEiVYuHAhTZo0Mf8LlRR4goOD6dWrF48ePcowf/K9995j1KhRuTr2HTp0iOHDhyviHWGnrVu35uuvv7bYvpZEInk2yEz8aLz+HTt2rJIXaQlSUlKYMWMG+/btIy4uDtA2qhDnLlGiBJs2bcLb29uiAl0fHx/69u3LDz/8wIkTJ6QwN5+RHdH4yJEjGTZsmLIvnt04vPp3PXnyJL/++itbt24FtEWG1fGpJk2aMHjwYF566SWzzmGuQLdSpUqsWrUKLy8vKRqXSCQSiSSXkOLcAoZw9uLi4hgyZAj//POPIqjV6/U4Ozszd+5cXnnllXRCQYPBwF9//cXff//Ntm3bgCcCSOGYiSAjpO+mW61aNapUqcKQIUOoWLEiRYsWfarPkhOBriTvEc63NQW6pjrmqsUPxoJGgXpRbdxdzVicYZz4IahYsSLFixfnpZdewsvLi4YNG+Lh4ZFOsHPgwAHmz5/Ptm3bpDD3GWb79u1Mnz5dsyh2dnZmwoQJ+Pr6mmXPwu5/++03Zs2axYMHDzJdtFtSoKtOwggICKBTp07Z+vwSy6Aer4KCgrh8+TI7duwgPDyc27dvpxOJiQTvSpUqUbp0aV566SUaNWpErVq1lNdkJxCSlUBX0LVrVyWZR45pEmsKdMPCwujfv3+6rnbGlQjHjh1rsW5i4tyi4II6yOjj48P333+Ps7OzFEnmI0ytFURCrRrh/wlfT722EQntajG2+Fs9htrZ2ZGamqo5rrCHunXrUrx4cZo3b07lypXx9vamTJky6XxRdSGXhQsXsnPnTinQfQbJqTA3OTkZR0dHpciWsNNChQphZ2fHhg0bqFu37lPbguyYK8kupgS6xht3ORHo7t27VxHKqqvuinMIOyxdujS1a9dm0qRJeHh4ULhwYeV4an9UjPM2Njbp/NSTJ0/y+++/88svvxATE5NOKOLl5cXq1aupWLGiJb86ST5B2F1GHRyMkz2y20FXHD81NRWdTse+ffu4ceMGf/31F3fv3iUtLS1dsiiAi4sLlSpVwsPDgx49elC6dGnq1q2rPC+LIeUuqampDBgwgDNnzihJsOqxyMvLi/bt29O1a1e8vb1xdHTExsaGO3fu8Pvvv/Pnn39y8eJFTRwdtOPZZ599Rq9evbJ9bVKgK1GzZcsWduzYwcWLFwFMxtyfVqCbVcdcg8GQoTDXlL+YkUAXtPeIFOgWfEwlVorf2N3dnS+++IImTZrg4uICpP+d1XPfjRs32Lp1K5s2bSItLS1drNLV1ZXVq1dTp06dHNl5REQEP//8M0uXLk0n0DXeE2rYsCH9+vWjbt26mqLHAPfu3ePBgwesXLmSf/75h7CwMMC0MNfNzY0NGzbIDqV5zPnz5/H39yclJUUTLzImtwS62RGcffjhhwwePBjIXuKnsUBXxDsNBgMdO3Zk/vz5Fv1MEonk+cOaAl0pzH2+efDgAX/++Sd//PEHhw4dUtYRgGbtri4SZJzjY2NjQ9WqVXnxxRfp2rUr5cqVw9nZ2WwbsbRAV6DO64uKimLhwoWcP3+e0NBQ5bOI14n/i3hnWlqapqC25Pnhr7/+Yvz48cra2jhOD48FukOHDtXE0a1FREQE8+bN49dffwWe7HEaDAbGjBnDe++9Z/VrkEgkBYfsiB8nTpzIkCFDLHZu4VOmpqYSEBDA7t27NXkaYuwS11O5cmVWr15N6dKls5zXsyPQdXFxIT4+Xoof8xnZEY1nt2haRqjjOnfv3uWnn35S4jPq86n92nbt2vHee+9Rv359s86RnQ66hQsX5uLFi7JjrkQikUgkuYAU5xZQUlJSmDNnDps2bUqXeOjt7c2mTZsoUaKE8nrjpK/Dhw9z8uRJtm3bRkxMDKDtwGtcRVj9mLOzM61ataJly5b06NEDW1tbxXHLrmOWmUDX3t5eEZWtW7eOF1544am+M4nlsKZAN7OOuWrhrVpwK1Cf11QXNePHBcab9OrAf8mSJSlRogR169alQYMGlCtXThFlqO87KWJ7thA29vHHH7Njxw7gyYZPkyZNmDlzplnJ3cLe4+Li8Pf358qVKxqhubOzs0ZwpD6/ra0to0aNUoLa2RXoRkdHK4v5JUuW8Morr0jxTy4jvm+9Xk9aWhpLly7l0KFD/Pvvv8pr1JuLIkCi7sgohDvwuBtPgwYN6Ny5c7pzZEVmAl312KdO2JFjm8SaAt3r168zdOhQ7ty5k2GCe48ePRgxYgRlypTRXE9OEEmY/v7+nDt3Thkz9Xo97dq149tvv83RcSXWJbO1AjyxCVFI6MaNGxpfUJ3QoC5GZIw4nvAJ1esfY/Gvm5sb1apVw8vLixdffJHixYtTp04dnJ2dFdGaXq9n2bJlbNy4UdM5Ui0YlgLdgkdmwlyRUG5KmKueT48cOaIRJQgmTZrEwIEDLXKdoaGh9O3bl3v37slkNolZWKuD7sGDBwkICODGjRtK4pw6mU5dSMHDw4NmzZrx+uuv06hRI008yxRpaWkcPXqU06dPs3HjRpKSkkwWnytRogTr1q2TIolnFPGbX7hwAX9/f5KTk5Xn1PGipxXoQvqxMjExkcTERB4+fEhISIiy5nNwcMDd3Z0SJUpQvnz5dOt4Od/nPqmpqfTv35+zZ89q4tfCJvz8/OjQoQMtWrRQ3pOSkqIZ6/7991/+97//sWrVKs1Yo07ccHd3Z8WKFZpukeZibgFLKdB9dlGPDbt27WLdunVK7MiSAt3sdsxdv3499erVy9JflB10n30yE+Z6eHiwbNkyfHx8sjyO2gYvX77MvHnzOHLkiMnEsW7dujF79mzA9J5OVjx8+JBffvmFgICAdPF3ddEuEaN3cnKiadOmuLi4KI+fOnVK6aJu3OlMHEev11OqVClWr15N1apVs32dEssh4i2zZ89m8+bNmg7kxqkQudFBNyPBmanE5Kddo6sFuuIcMrFSIpFYEmsKdG/fvk2vXr0yTZKXscxni6ioKC5cuMCcOXOIjIwkLi5Os0ejjhnCEzsT/xZrJLXdAXh7e1OjRg0++ugjypYtqzye1ZrJWgJdY06dOsWBAwdYt26dEkdS5/oJEY+6mLbk+SIlJYXly5ezYsUKUlJSNIId9Zg4aNAgBg8eTMmSJQHrxRv37NnDJ598QkxMjGad36JFC9asWWPVc0skkoJFdsSP6j1xS44h6hze5cuX8+OPP2qKYogYgbiW9u3bM2vWLNzd3bO8DnMFuuIY4t9SmJv3ZMc2P/roIwYNGgRYfn6Li4tj165dzJo1C8i4g26vXr0YMWKE2XtAGQl0TRXPFPYohbkSiUQikVgXKc4twNy6dYtevXoRHR2tJI0XKlQIe3t7xo4di7+/P7a2tulEiup/h4aGsm7dOs6dO8eFCxfSdZwyfo9xgLNZs2bUqFGDd955B1dX13TdRc3BVAKScAT1ej2dOnUiICAgp1+TxEqoN5YtJdA1p2MupLdDU6iD8saiR4G6m676/+rEevUiTPDGG2/w9ddfZ9jBV/JscO3aNbp166aILYQ9f/zxx/j5+WX5frVNffjhh+zevVsZ33Q6HT4+PgwfPpw5c+YQGhpqUqALj0XqI0aMAMwX6K5atYqlS5eSkJDA4sWL6dChg+aaJNZHLcw+cOAAO3bs4Pjx45p5Vt2dHrSbi2oRl3Gw5NVXX6Vv377UrFmTIkWKmB0cyUygqw68qOddKdCVWCPpQhzz4sWLjBgxgoiIiAwFup06dWLw4MHUrl1bsdOnEei+8cYbBAcHK/eYcbBRkv/IqoOusIcBAwbQq1cv/v77b06dOkVUVBTnzp0DUOzJeK2jLk5gPB4b25qwS2PfEqBy5coULVoUHx8fqlevTs2aNalSpQqLFy/m4MGD3Lx5U+NnSoFuwcMSwlyACxcuKAk8YrPFYDDg6+vL9OnTn9oG4uPj6dKlC2FhYTg4OJCamiqT2SRmYa0OuidPnuT777/nxIkTSrVo4zHUeH1frVo1ypQpQ/Xq1alUqRJOTk44Ojry8OFD4uPjuXDhAkFBQQQHB5OQkACgxL7UheWqV6/OggULqFy5siW/Kkk+QYxf58+fp3///kpXvIxiRernxo0bR+/evbMt0IUn9m1u51t112dJ7pOWlka/fv00wlxRQR9gxowZdOzYUbEF499VPU9GRUXx448/EhAQoPEJxe/r4ODAZ599RufOnS1ewFIKdJ8P1HZjDYFuZsJcdbKvuR1zjZEC3WeXrIS5a9asoVq1ajlay2zbto2PP/4YSL9X07JlS1avXv1U156UlMShQ4eYPHmySV9UnTRp7KMK1Daqvj5xT1atWpXFixdTqVKlp7pWieX4/fffGTt2bDoxdZEiRbCzsyM6OhqwrkA3s06Q1lqjr127li+++AKAbt26KX/LsVYikVgKawl09+3bx6hRozTJ4rLI4LNLYGAgv//+Oz/++CNxcXHphLDGmNq3UT8HaOZzeFx8f9CgQbRq1Uqxwaxsx5oCXePXHTt2jL///psffvhBKQIDj+8xKY6QREVF8fXXX7N7925SU1MzFOj26NGDnj17Kt31LGUvYqz/559/GDlyJJGRkZp9WS8vLyZMmECnTp3knqZEIgGy1zFXLcy1xjwnjqnT6Vi1ahWbN2/mzp07gFagC+Dq6sqgQYMYOHAgTk5OWR47K4Gusb8ihbl5T2a2CWQoGrfWb2QwGPjxxx+ZPHlyuvOr53u1SNgcsuqgK21TIpFIJJLcRYpzCygiMPnVV1+xfv16zWMGg4EXXniB1atXK0IwUwER4VClpKSQkJDA2rVrOXbsmJLErk4eUy8kjBdOAKVLl6Z169a88sortGvXLt05ssI4AUlW9i0YWFKgm5kw11RXW0dHR6pUqUK5cuXQ6/U4OTmRlJREcHAwaWlp3LlzR9M1RYgr7ezslGSLrLqnqf9tb29PcnIy9evXZ+3atWYtzCUFEzHO7d+/n3HjxmEwGBT7dHBwYPv27VSpUsXsMWnjxo0sWbKE6OhoxeZcXV2ZPn06nTp14o8//uCLL74gPDzcZOV9gPfee48xY8YA5gt0v/32W2rVqkXbtm01n0tifcTvcP/+fb799lsOHjxIaGiokvCjFg2YwpRgV/2YwWCgUqVKtGrVinfeeYfSpUtLga7EqlizKvr58+cZPXo0d+/ezVCg26pVK/r06UO7du2wt7fPsU+4fft2pk+frti6ra0tDg4OzJkzh9dee02Ok/kYczroAsyfP5+OHTsCj8eu4OBgHj16xMGDB7l9+zaXL18mLCwMeFyBWiDWN+qu5RmN0+qEDxsbm3RFPAQ1a9bExsaG8PBwYmJiNO9VJ/NKgW7+x1LCXHjsx3Xr1k3T5dlgMODp6cn27dspVarUU1/vhg0bWLBgAXFxcZprA5nMJskcawl0b968yR9//MHatWu5f/++clx1Z3JxvozGVFOPqcdtQPGxXV1dqVevHjNmzKB8+fKW+nokJjBXoGppTAlz1Rvqxl2aTYnDnkagmxFyDs9fmOqYqxbmBgQE0KlTp2wdMyIigm+//ZatW7emSwjW6/U0bNiQDRs25Pi+yKwojdp+pUD32cVaAt2MhLnqsVPdMTe7wlyBFOg+e5grzM3u76i2yUGDBnHs2LF06+XixYvz66+/4ubm9tTz66VLlxg5cqSSkKku2KYWBavj8eqkTVPFtlxdXalfvz7Tp0+XPmc+ZMqUKfzwww/AE5sqVaoU5cqV499//yUxMdGkoMcSAt3MhLmgjXlaeo2+bNkyrl27xvz58y12TIlEIlFjrb2iX3/9lY8//pj4+HiNjypjmc8WP/30EytXriQ4OJjU1FSTRfxAWyhVXURFHe8BbQ6R8XsLFy5MgwYNGDBggJIrkRXW7qCr9oF1Oh2hoaEsWbKEq1evcu3aNd566y3mzp2b7eNKnj0iIiL4/PPPOXDggHIvmOqA16pVKzp37kyXLl0Ay8Vq//vvP4YPH86dO3fS7d137tyZDz/80KIxVYlEUnDJT8Jc42tKS0tj6dKlbN26laioKI3PIGKstWrV4tNPP8XHx8esMdRcga4UP+Y9mXXMBfLENgXqYoXqmLn67+XLl5vtw8Lj/bBjx46xfPnyDAW66sLx0jYlEolEIrEeUpxbwDlw4ADvvvsu8MSxF/+NGzeO4cOHZ+t4t27d4p9//mHZsmVERUURExOjcdQE6o1oY6Fup06dqF27NgMHDlQWWuYkqMXHx/Prr7/yxRdfkJiYSNeuXZkzZw4gHcD8jCUEuurE9VGjRrFv3750wlwReK9WrRrNmjWja9euVKhQgWLFimmuJy4uDoAbN25w//59goKCOHXqFA8ePNB0h4YnSZrq7mnqIdG4i27dunXZuHEjjo6OUqz2DCPGqy+//JI1a9ZohN2urq7s3buXIkWKmHWsCxcuMHfuXE6ePAk8SXTz8fFh3rx5lC9fnuTkZP744w++/PJLIiIiMhTovvPOO0yYMAHIfEw0FTCSScK5h/ht7ty5w8cff8zp06dJSEhIl/QFT8YgdVBSXbHfeExSv0fMv+XKlWPevHnUrVvX7GuUAl1JTrCmQPfKlSu899576Tb51MlxNWvW5LXXXmPQoEE4OTlle4MxPj6ezz77jJ9++klznxUuXJhNmzZRs2ZNs48lyRvM7Sb22Wef0atXLyD9nBgXF0dERAQhISEEBgYSFRVFYGAgCQkJSucUQUbddUHbLUc9vwq7MhXoFu9Tv1YKdPM/lhTmCgYOHMjx48c1Pqabmxtr166lSpUqFrnW7du3M3v2bFJSUpRxVCazSczBlEDXOPHHXIGumsTERK5fv85nn33GjRs3lI63xnEs4TOrY06QXpxr6nGDwUDt2rV5/fXX6datGyVLlrTIdyIxjZjvUlNTGTduHIMGDaJx48ZWP29WwlxT3XMz2ty2hkBXkj/ISpi7ZMkSXnnllRwd++DBg4wdO5bExETNOGVnZ0eZMmXYtWuX2TEjU8gOuhJLC3Qz65gr7MkSwlxBRgJd0MYNpEA3/2MtYa5AxB+nTp3Kjz/+mC4Oamtryx9//EGZMmWe6nOI67t16xaLFy/m1KlT3LlzJ11HXPX/jRGvFT5rtWrVeO211+jdu7f0OfMZ4vc+cuQIU6dO5d69e8rv5uXlxcCBA/nnn3/49ddflfcYd9Bt2LAh7777bo4EunkpzDVGjq0SicRaWHKvSD1W7d69m5kzZyqFLidOnMiQIUPSvU5SMNm0aRNff/21JiZovE5Qx8t1Oh2FChWiSJEixMXFKf8W63rxPnUHPLXoQBQGdHZ2ZuLEifTp08es67S2QFcg3pOYmEh4eDinTp2id+/eOT6e5NkjNDSUGTNmcPLkSWUtphbJir/LlStHmzZtmDp1ao5yOdQxg6SkJM6ePcvkyZM1RbXFPVqnTh0WL16Ml5eX5T6oRCIpsORn8aM6H3n27Nls3rw5XZ6H8EPeeOMN5s2bp3kuM7IS6ErxY96T3zrmGpOamsrGjRsVXYSpIq3Vq1dn/vz52codyUigq84xlbYpkUgkEon1keLcZ4Bp06axY8cO4Mkmol6vp1WrVsyZMwcPD48sj2HsZInOUlu2bOHs2bOKsEidiC7OJzAW6dapU4dWrVrRqVMnjeAhM4cuPj6e7du3c+3aNWbNmpXl6yX5g6cR6KakpCgJvcYdc9WCCp1OR/Pmzfnkk0/w9PTE2dlZs2A2thFTC+YLFy4QFRXFn3/+SVhYGNevX1c258V1ioWOCOSL5D0pzH3++OKLL1i7dm26RPBt27bh4+OT4fvUXclnzZrF1q1bAe3ifuXKlbRu3Vp5T2xsLDt37uTbb79VOuwK1Ikh/v7+TJs2zaKfU2I5xG8fFhbG6NGjuXz5MpC+E736NxWIzUU16jFJ/XrxuJh3ixUrxtSpU3nxxRdxc3Mz61qlQFeSE6wh0BXHvHXrFkOGDCE0NFQjXFffL66urjRu3JhZs2ZpbN2cIPmqVauUitPq8XjkyJGMHDkyB9+GJC/IqJsYaO1v5syZ9OjRAyBdVXVjnzEiIgKdTsepU6cICgri8uXLXLp0iZSUFB49eqRZ+6iTQtTjsqk1kjmdq9QddKtUqUKfPn3o2rUrRYsWteC3JskpmQlzhfg6O8JcYX9iPFILwPV6PWPGjOG99957qmtW2/iOHTv45JNPSEtLk8lskmxhLYEuPC6S8MMPP3D48GEOHz6czt9Vj4umUPvV6q7Qzs7OvPTSSwwdOpRKlSrh6Oj4FN+AJCvUwtxBgwZx6tQpypUrR0BAQKZr5aclI2FuWloaBoNBs7k+ffp0UlNTM93cBhg7dix9+vSRAt1nCGsKcwWTJ09m165dJkWQWcWMzEEKdCWWEuhmJcy1sbFREtwtIcwV5ESgm1fd2CWmsbYwF57Y544dO5g2bZrGtu3t7XFxceF///sfrq6uT/15xHU+fPiQw4cPs2PHDk6ePJlh7FWgXvMJXn31VQYMGEDNmjVxcXF56muTWIekpCTee+89jh07pvEDO3ToQEBAAB9//DG7du1SXm8Jga6IBZgS5hr7oNYW5sqibxKJxNpYcq9IPWb9/PPPfPjhh7KQyzOGen8uoxwIeJxHVKZMGV555RXKly+Pp6cnZcqUITY2loSEBCIjIzl16hShoaHs378fg8FAUlKSyUL86qKrAKNHj2bo0KFmzevGAl3hp1paoGtqvpb2LlETGhrKl19+ycGDB0lNTU23N6W+f+rXr8/QoUOpW7cupUuXVh7PaK1tbGv//vsvBw4cYMOGDTx48CCdMLdkyZKsW7eOSpUqWfdDSySSAkF+Fz+qz5WamsrIkSM5ePBgho0Cpk+fTt++fc0+dkYCXZHnJMWPeUdBsE2AqKgoVq5cyerVqwHtXrzBYMDFxYXhw4crsSNzry0jgS6giHSlbUokEolEYl2kOLcAIxz9H3/8kRkzZqDT6RQnSvysixYt4tVXX83RcQXdu3fn8uXLJruXqAOQ4jmBeNze3p4+ffpQt25dOnfunKmgEtCINaUDWHAQv1V2BLp+fn4ZCnPVv71Op6NNmzYsXbo0W4m/xscxJjQ0lPDwcK5evcrJkyeJjIzkn3/+SVel3cfHh/Xr10th7nPGzJkz2bBhg6ZKq42NDYsXL6Z9+/ZZisJXrFihVFdTL+5HjBjBqFGj0m0O3b59m4CAAH777TdNtUvQbmJ2796dDz74ADc3N+Xa5DiZ96jHwEGDBhEWFpZO8Kr+TStXrkz9+vVp0aIFHh4eVKhQgZiYGBITE7lx4wZXrlzhypUrnDt3TiMKMxYrCNsoXLgwgwcPpkuXLpQvX96sa85IoGtcMU0KdCVqrCHQFfdPZGQko0aN4ty5c8pzYnxT+5sVK1Zk+PDhNGjQgEqVKqUTRqqvJz4+ni1btmiEuSIhz8fHh0mTJtGoUSPLfDmSXMFcsYJaoGs8V2aVpBgTE8P9+/c5fvw4kZGRHDt2jOjoaO7evUtycrLyOmPBrzpgDulFusY2KtZPNjY26HQ6ihUrRkBAgKaAhyRvsEbHXMGhQ4cYNmwY8ERoqNfr6dmzJ59//vlTX7vaJjdu3EhqamqebSxJCi5Xr15l/vz5ikBXoL4PsivQFfan1+vR6XTs2rWLEydO8Oeff5KYmAhoiyCI94jHxfvEaxwcHLCzs8PX15fGjRvz8ssvW/ZLkJhEnZTVr18/zp49i6OjI8nJyZQpU4aFCxdaRaAr7OfChQv069cvnTBXveaeM2cOXbt2JSoqio0bN7J06VKADH0GKdB9drC2MFfY4dq1a/niiy/SraF1Oh0bNmygSZMmT/1ZMipKY2zvUqBbsBD7Hub4ZOrX/Pjjj6xduzZTga6Xlxfz58+nfv36SjxHxNlzo2OuMRkJdDMTqEnyB7khzIUna66tW7cyY8YMTaE2g8GAp6cnv/32m8UEsOo1XlpaGitWrCAwMJCjR48qr1HH5NXXY2NjQ9euXWnQoAG9evWyyPVIrIfabxw2bJjS9U6MjbNnz+att95i0qRJ/Pbbb5rx9GkFurdu3aJ///7cvXs3zzrmSiQSSW5hLYHujRs3lA5Rcpws+Kxfv15pymCq2KqjoyPlypWjW7duvPrqq1SoUMGs4166dImLFy+yceNG/vvvP+VxdexHfR6Ad955h8GDB+Pu7p7l8XOrg65EkhV3795l4cKF/Prrr6SkpKSzcXVBIZFzMnToUGrWrEmZMmWyPH5ERAT79+9n27Zt3Lp1SxODEr5x8eLF2bBhA1WrVrX2x5VIJAUAMd/dunULX1/ffNUx1xixnxUXF4efnx///fefRgQpYlAvv/wyn332mVk+gsCUQFfElaT4MW8oKMJcwdWrV1myZAn79u0D0Mzter0eb29vtmzZgpubW7aKsBkLdEW+c1pamrRNiUQikUhyASnOfQZIS0vD39+fc+fOKYkZYqFTp04dli5dqqmMlhVqx+vjjz9m27ZtAOmS1wTqTU1jJ1CdvKzX62nfvj3NmjXjzTff1HT0NdWJV1b2LXhkR6Dr7e3NgAED8PPzY/To0ezduzfDjrlt27Zl+fLlmnM8DRlVB0xNTeXff//l/v377Nu3j9u3bxMbG8uWLVukMPc5QtjY0qVLWbx4cbrgc4sWLViyZEmmiUG7d+9m4sSJgHZx36xZMz788EPq1Klj8n0nT55k4MCByjWIJE/j8bdNmza88cYbvPLKKxQpUsTC34Aku6iDj/7+/ty7dy/Dbo61a9emefPmvP/++zg7O2faFeTRo0dcunSJH374gdOnTxMeHp5u8w+e2JizszO9e/emR48eZm+OyA66kpxgDYGumJujoqKYOXMmx48fJyoqSjmecZedokWLUrZsWfz8/Khbty41a9ZEp9Nhb29PYmIitra27Nq1izNnzvDzzz8DKAn6QhA5evRohg8fbpXvSGJdzO2g+/nnn5udGCHs2pSfmJCQgF6v599//yUkJISbN28SGBhITEwMt27d0rw2o+664hyQvjo8PL4HXn/9dRYsWJCDb0RiSdTrULEetpQwFx4n9vTr14+7d+8qj+n1eooWLcqWLVuU5LOnwZS9yw0WSXYwGAw8fPiQIUOGcOXKFc3jTyPQNSYlJYWQkBBOnDjB8ePHuXbtGiEhIZo1lEAII+rUqUPp0qXp0qUL3t7eVKtWTXmNtPPcITU1lX79+nHu3DnFvxLjojUEuhl1zE1NTU23VhbCXMHDhw/ZuHEjS5YsATLuoDtu3Dh69+4tBboFmNzomCs4f/48ffv2VQplAjg6OpKSksL27dupW7euRc6TUVEaQAp0CyDBwcGMGDGCmTNn0rBhQ6sLdMV7jYW5Yo1ijY65xmQm0BWFHQC+/fZb2rVrZ7HzSnJObglz1Xz++eds3LhR08VW7G1u3LgRe3t7i3ZVVq/34uPjuXDhAidPnuSff/7h0aNH3LlzB3t7e8qVK4e7uzstW7akbt26mni+9DkLBg8fPuSzzz5jz549im+g1+tp164d3377LUlJSUyePJnff/9dk5ibU4FufHw8Xbt2JTQ0FGdnZ5KSknK9Y65EIpHkNpbcK1LvjWdW6F9ScNi1axdTp05Fr9eb3MNxdXWlb9++tG/fnnr16invM7fTJ0BiYiIbN27k8OHDnDhxQjm+mNvV5wPo168f77//Pm5ubllevxToSvILUVFRbN68mVWrVpGQkKARwambqKjtvnr16jRq1Ij69etTu3ZtChcujJubG9HR0dy7d4+wsDD27t1LWFiYJv6vvlcNBgPe3t4sW7bMIvtWEomk4CP8tIzEj2o++eQT+vTpA+Tt/Cj8iiNHjjB16lTu3r2bTgQJsHz5ctq2bZutY4vv4/Tp00yYMIE7d+7QpUsXvvzyS0D6BblJRqJxYZtCuwD5Q5gr+P3335kzZ47SfVmn02n2Pf38/Jg+fXq2NRRCoCuKEwLSNiUSiUQiySWkOLeAIxYQv/32Gx9//DHx8fGa7mElSpQgICCAZs2aZRjEVKN2vKZMmcIPP/wAoCQZiwDPm2++SVxcHAcOHNBsmquDNMbddNWiilKlSuHn50f9+vV54YUXLP/FSPIMYWfmCHQrVaqEvb29UplK/X7xt1qYay1BWGZCcHVXGClGe744d+4cAwYMUBLFxELd29ubgICADAW2J06cYMaMGQQHB1OoUCFF3Oji4sKHH36YZXX9WbNmsX79ek1gQKCu3l+yZEmqV69O//79KV++PJUrV7bAp5ZkF1OV1zISib3xxht0796d5s2bK7+lKHChHoOM5+vo6Ghu3bpFQEAAx48fVx4Xx1AHZhwdHencuTP+/v5ZiiEFsoOuJCdYU6AbGxvLxo0b2bNnD1evXgW0m4FqXwKgePHilC1bFhcXF0qWLElYWBixsbHcvHlTeY0Yj4U99+nTh08++QSQgceCijUEumrUY7Op96WmppKamsrp06e5f/8+f//9N7dv3yY8PFwZS9V2KgSdYtwW6yRhkzIYnv8YM2YMv//+u1JNVPx2TyPMFQwZMoQjR44otmBnZ0ehQoVYsmQJbdq0kTYgyTPUY59azGPM0wp0M0q0jIuLIzw8nISEBG7cuKH4onZ2dlSsWBEXFxeZCJQPUK9Z1eIFYROWFOhmJMzNrGMuaNdUpgS6pgSOsoNuwSU3hbkAgYGBDBgwAEBZYwh2796tKRrwtEiB7rNBSEgI/v7+REZGUqpUKZYuXUq9evWsJtANCAigQYMG7Nq1i8mTJwO51zHXGFMCXUBZB73xxhvMmzfP4ueVZJ+8EOYCjBw5kv3792vs2WAwMH78eIYNG2ax86jJbD8oKSkJGxsbHB0dzX6PJP/yxx9/MGLECEA7DgYEBNCpUyeSkpKYMmUK//vf/zQFqHMi0E1ISGD79u0sXbqUR48epdtXl8JciURiafJLcT5r7BVJCj5Hjx7l888/JygoSOPniSJBHh4efPXVVzRs2BBnZ2cg+/6WOo/nzp07bNq0iTVr1ijPq/e71X7AsGHDGDt2rEYMnhFSoCvJL6SkpPD333/z0UcfERsbCzwpZqn2Y8U9IfaeRBzf1taW4sWLk5iYSGxsrBIXEHuZ6gLX4p6pW7cuX375Jd7e3nn50SUSST4jJiaGQYMGcfnyZU0hLIGNjQ0VKlTg999/Bx6PXzkp7mtpHj58yMKFC9m+fbuy7w9Pxs3mzZuzYMGCbO8PibH22LFj/Pnnn0ydOhWQ/kBeEBwczNtvv018fHyGovGhQ4fywQcfAHmb96j2QefPn8/y5cvTzesGg4H69euzePFiSpUqlW1fWQh058yZQ9WqVVm0aBEgbVMikUgkEmsjxbnPCMHBwQwePJjw8HAlMV04a61atWLVqlVZHiMjYa5IRhbBSnX1mO3btxMYGMj//vc/UlJSgMdBTnFuY5GuCOoIAVFKSgovv/wyo0ePpnr16lb4ZiR5QXYEuqC1GXX3sNwQ5ppCBBzFtcjEi+eTsLAwBg0aRGhoaLpF+5gxY3jvvffSvSckJIRFixbx+++/KwlMYizs16+fEoTJzKY2bNjAzJkzlefV07R6IS6uyd7enkWLFtGuXTtpp7mMKWGuulKpesN54MCBDBkyhJIlSwI5H1fmzp3L/v37CQkJUc4hxlORNOTo6Mjbb79N3759zRYvyA66kpxgjaQLcV8lJydz8uRJtm7dyv79+5XnTXXRNVXMAJ7YrrqwgcFg0CT/mlO8RpJ/sbZANyMyO0ZoaCjBwcGEhYVx7NgxYmJi+Oeff0hKSlJeo+6um5aWRufOnfnqq68sdn0Sy9C9e3cuX76siG+Bpxbmit93+fLlzJ8/X7FZMYe/+uqrysaIRJLbZCTMVXcaVSf1AE8l0FWTUdGazJDjZd6g1+s5fPgw69ev5++//wZM+2eWEOjmtGOuKTuKiopi06ZNWQp0ZQfdgkduC3PhcTx8+vTpgDZOU7x4cXbt2oWnp6dFx6eMfF7jBGMp0M2fqGNGTk5OJCUl4e7uzvLly60m0K1QoQJvvvkmy5YtAzLumLt+/Xqzr+FpMBboynVQ/iOvhLkHDx5k+PDhwJPxVCRIWmP8zgj151LfT8b7RJKCydSpU9m5cyfwxO9r0KABX331FRUqVCA5OZkpU6awZ8+ep+6gGx8fzy+//MKcOXNITExUHpfCXIlEYmnEWBIVFcWdO3eoXbu2Zh0s1sW5tf8hBboSNWFhYcyfP1/JlzC2g5IlS7J69WqLFLYyjgEJgW54eLhi/+q1kLpA27vvvmvyGMZIga4kP3Hz5k3mzZvHpUuXlC57ArVIV10YVh1DMhgMyv6kcTFhkddUpkwZmjVrxqhRoyhbtmxefVSJRJJPSUpKYtGiRezfv59bt24B2q6kYlxp0aIF8+bNw93dPd/k5Jw7d46BAweSlJSkaYZhMBgoW7YsGzdupHTp0tk+rrEvIf2AvEG9b6P2++DJumTYsGF07949XxSeEHaSlpbG8OHDlcLuAhGj/Pjjj/Hz88vROVJTU7lx4wY1a9bUnFMikUgkEon1kDPtM0LFihUZOnQogMaxtLOz4+LFi+zduxfQirzUZNYxVy3MnTBhgiLMBejZsyefffYZGzZsoGPHjlSuXFmpiCSCO4AmgVMd6DEYDDg4OEhh7jOGWMCWL1+ehQsXUrt2bU0gUNiC+t8iKR3yVpgLTzbe1f+WPH+UK1dOSe4VSZ3ly5fH39+ffv36aV4rgkx///03Bw8eTCfMfemllxRhrgjuZESLFi1wdnZWROs2NjaK/Yt7RyTSweNxuX379tJOc5mMhLmpqanKRoeYO0ePHs2kSZMUYS5kf1wRG4cTJkxg1KhRtG7dWnlcBDFFEnJycjI//PADO3fu5M6dO2Ydv2TJkvTu3ZtevXpRqlQpzZgt/ra1teW3335j/PjxQPpgluT5Q/h3derUYc6cOcpGuvA3hc8HsHPnTtatW6d0ws0IkVjs6OhImzZtWLhwIcOHD6dUqVKajtPi+OrzCTtV+xcimCle06NHDynMfYZwcXHhrbfe4qOPPsLZ2VmZf9WbywDTp09n+/btgHZzKKeYClgLeyxfvjxt2rTB19eX+fPns3btWrZv387GjRsZM2YMHTt2pFq1asoa69VXX5UJ6fkMYR8//PADrVu3JiUlBVtbW2Vuf5qOueL3bd68uWYeFXOt6BgKGa/dJc8+xvNbbpCRMFddeEY9x4r5Woy1YWFhzJw5k6NHjyqF27KDmI9NbToa/y2Q42XeYGtrS5s2bXjnnXdo2bIlgBLPUdvEnTt3GDNmDOfPn8/ReSwpzAVwd3fHz8+PkSNHAk/iTGI+FmP5/Pnz2bp1K9HR0Tm6bknuktvCXOEjqItlwZMxqnXr1pQpU8bi41NGPi9oY6YbNmxg5cqVhIeHW/T8kpxjHDNKTk6mUKFCREVFMXjwYM6dO2eWvajXMF27dmXAgAHUqlULIF3M3dbWllu3binCXONu4+qOubkhzAWoXr06/v7+dO7cWbHhLl26yHVQPsGUMFesVawpzL19+7ZGMAlP9olatWqVa8JcIN1ekDqhXdpmwadZs2Y4OjpqCsqEhIQQHBwMgKOjI7Nnz6Zjx47pxA1ivj179izLly/n6NGjJjuvCFxcXHjzzTeZMmWKYtcffvihFOZKJBKLIsaS4OBgunfvTu/evfH392fEiBGsXbuWI0eOEBYWBpiOnYix0JJxJ2vsFUkKHsK2zp07x19//aUU1wU0hV/WrVun+JdPi3ovG8DPz4+pU6cq8Xf1PqB6/bxgwQJlz0jYb0aULVsWX19f3n77bdzc3DRxMPH/0NBQVqxYYdF9KInEFJUrV2bmzJl8+OGHtGjRQsnPFI1SBCJPSeRlwuN7QOw9iMfVRdoNBgMNGjRg1KhRTJo0SQpzJRJJOvR6PU5OTowePZrOnTvj5eWlPG68h3js2DE++OADYmJiNMUy8pIGDRooReLUuZu2trbcvn2bbdu2Adn3k433pOS6P2/o2bOnIs5V+30i1mcwGFixYgXr168nKCgoLy8V0DabeP3113F2dtbkr4nrP3z4MMnJydn2LQ0GA/b29oowVxYglEgkEokkd5Cdc58hrly5wtixYwkJCdFUNYPHlfOnTZtm8n2ZCXMBjTBXvYGodlxtbGyIi4sjPj6eFStWcPbsWS5duqScw7iznwjudOnShS+//BKQ3UmfRbLqoAva311Ul2zfvj3ffPMNIDszSvIGYZfXr1/ngw8+4OrVqzRp0oTOnTvTpUsXHB0d03V3unHjBv379+fBgweaAgS1a9fmk08+wcfHx6zki7CwMDp37kxCQoIyxjZt2pRHjx5x9epVzWbO1KlT0wmFJdYnM2EuaEWrH3zwgVI8w1LnBThz5gzr1q3jf//7X7pzisCms7MzY8eOpXfv3jg5OZl1DtlBV5ITcqMq+pEjRzh69Chr167ViISMO+OqfUkhzAWoVasWr7/+uhJsl3b7bJFXHXQzQ+3jGq9zUlJSCAkJ4f79+7Ro0SJXrkeSPdRjxJAhQzhy5AjAUwlzBXq9nujoaAYNGsR///2Xbu3+xRdf0K1bN8t9GEmBQowFN2/eZOXKlXz00Ue4urpa9ZxZCXPF5l1qaqpmzjXVLfVpO+hKCg56vZ4TJ06wYsUKjh49Cliug25GwlxjewTzhLlqTHXQNdWBdOzYsfTp00d20M3H5EXHXHgs5unVqxcxMTGa9UhaWhrjx49n2LBhVvPrTPm8pjpAT5w4kSFDhlj8/JLsYUrwCNr1yYwZM/D19TX7mOZ20DU1HhoLc82NU1qS//77j2XLluHi4sKsWbPSfSZJ7mPKTkW30JIlS7Jy5Upq1Khh8d9Jp9Oxa9cu5s6dS0xMjGbt7O7uzowZM3jttddkUTWJxRDrepEsrNPpaNiwIRs2bFBszLiDrjpJV6yBGjVqxPDhw83qoLtz5070er1S8FqOdxKJxBKo9yf79u3L/fv3lZwdMXYZDAZcXV2pUqUKZcqU4cUXX8Td3Z06derg4uKCo6NjumOqi1M8DbKDruTu3bv06NGD+/fvKzEXMZe6urqyYMECWrRoYRU/Tz3XBgYGsmHDBv78809NTFNd8K148eJ8/fXXSkHsrJAddCX5kXXr1nHq1CmlYQs8iRGpY7UC48664vmyZcvy4osv8u6771KiRAm5hy6RSDJEzG2JiYmsWrWKH374QSkWqY5PivmxRYsWLFiwAFdX13wR5zl06BBjxowhOTkZeOK/6vV63nrrLebOnZun1yd5etavX6/Enk3tAdra2uLv74+vry+VKlXK46t9zMOHD+nduze3bt1KF+d3dXXlp59+ylFXZ4lEIpFIJLmPFOc+Y3z66ads3rzZ5KbhypUr0wUW1cHAqVOnpqtUnZEwN6sAYlBQEKdOneL777/n/v37ShUkQOlK0blzZ1kd/TlA/LYZCXTFIlf8u0qVKvz666/AY+GCTOiV5CV6vZ6PP/6YpKQk+vXrR506dZSkT/WYlZCQwJgxYzh8+LBGEFS0aFGGDh1K//790212ZnS+f//9l969eytBqcKFC7Ny5UoiIyP55Zdf2LNnDwCTJ09mwIAB1vngkgzJTJhr3MFp0qRJSvKNpQpQqI9z9epVvv/+e3bt2gVgMjG3SJEizJ07l/bt25sd6JQC3YJDRnaVF7+HtZIujMfbS5cu8dNPPxEYGKgkIWeEk5MTNjY2DBkyhObNm9OkSRNAdsx9VjFXoDtz5kx69OgB5P4axLiwh0CuhfIn6rG0e/fuxMbG8uuvvz6VMFfN7NmzWbduHYDiQ+h0Ot5++20+//xzWb30OUSMBbdu3cLPz4/79+/TsWNHPv30U4oVK2aVc2YkzBW+pI2NjUbMM3v2bH7//Xd+//13AJOJbVKg+/xgDYGupTvmmsKUQNeUwFEKdPMveSXMjY2NZenSpaxdu1Yz/un1esqVK8f27dtxc3Oz+HnVmPJ5xX2TlpZGrVq12Lx5s9kFuiTWwRxhbk7jeuYIdI0LBYmxLS+FuYK7d+8qiURyHZS3qH1OdREMgCJFirBixQoaNmxo0RiTep4fO3Ys4eHhiu8g7g8fHx8WLlxImTJlNO9TC49AdiGRmIeIwxw9epSPPvqIyMhIRaDr4ODAjBkz6Nq1K6mpqUqHc7VAF550UM6uQFccE+R4J5FILIM6buTr66spFi0Q86mp7mTe3t4ULVoUHx8fatWqhZeXFw0bNsTOzi7dHnZGcWxzkALd5xPRofObb75h6dKlmtiiwWDAycmJ999/nwEDBpiVM/E01yFs7fz586xfv549e/Zo7gt1Ll2bNm2YOHEiVapUMev4UqAryS+obT0hIYEzZ86wb98+Tp06xY0bNzSvVReoUVOsWDGKFClC7969ady4sbKPLpFIJJB+/lL/u6ALdIcNG8ahQ4cUP0UU0i5evDg///wzHh4ecu4u4BgLdI33APOTQFfcE+vWrVOanAmfVezRL168mA4dOsjmZxKJRCKRFACkiiKXsLZjJBY9/fr14/jx4wQFBSnBFTs7O2xsbDhy5IjSmUkECXPSMTezxYd4vlKlSlSqVInmzZsTHBzMd999x/Xr13n48CEAXbt2Zc6cOWYdU1KwEZvW5cuXZ+HChekEusaV+XQ6HZs3b+btt9/GwcFB2ockzxC299lnn5GYmIiLiwuARighbPjWrVvcunVLM+6mpaVRsWJFunbtavYmk62tLbGxscpmVVpaGgkJCZQrVw4fHx9efvllXnzxRRwdHenUqZPVPrvENBkJc00lWaqFuZYcx9S+RI0aNRg5ciR2dnbs2LFDSZZLS0tT/o6Li2PKlCls3bqVChUqmHUtJUuWpHfv3gDpBLri/ba2tvz2228ABAQEKOeVAt3cQz2H/v333+h0OurVq4e7u7vyOxgXwBB/W8MnFceuU6cOc+bMUZIuxPl0Op1iJzt37sTGxoZ+/fplmXShtldx/Bo1apCamspff/1FaGgo//zzDxERESQnJ5Oamkr58uVxdXWlQ4cOeHt7U6tWLeUYIuFT8uzh4uLCW2+9BZBOoKu2v2nTpgHQo0cPZaMlt3xNdbEiNdLXzZ+o57YffvhBM88+zXwnbK5Nmzbs2LGDlJQUdDqd0j133759DB8+nPLly1vw00jyO6YSLO3t7dmzZw86nY6ZM2daXKCbXWHuhg0bqFu3LlWqVCE5OZkDBw4oax+9Xq+MtWFhYcycOVMKdJ8DbG1tadasmfLvo0ePKjahnn/v3LnDmDFjshToZtYxF7CIMBfA3d0dPz8/4LGIUz2+q32GBQsWAEiBbj7DlDDXxsZGEeYuXrzYKsJceJzYe+DAASV+CShJxr169cLNzc3qyUWmfF5HR0eSk5OpW7cuGzduxNHRUa7P8xBzY0ZCmJvd9Yh6DSPGQSHQVR9LPTampaXh4ODA7t27KV++fJ4W9BLCXFmIJm+JiIjg1VdfBcDBwYGUlBTNXFqsWDGuXr1KpUqVKF68uEViScLuIiIimDhxIuHh4RpBkRCQf/bZZ5QpUybd3pFaRCEQNp8fEjsl+RNhF1WrVqVChQqKODctLY3ExESOHDlC165dlWIwjo6OzJ49G0Aj0BXxRJ1Ox5kzZ1i+fDlApgJd9eNyvJNIJJbA1taW4OBg+vTpQ3R0tKaQldgDEv6mWCcJQVZaWhqhoaHo9XouXrwIPB4jy5QpQ5EiRWjbti2enp40bdqUMmXK4ODgoOQYGZOV/5rdvSJACnSfAYT45vjx4wDpCqdWqFCB1q1bW1WYK65D2JqPjw99+/YlOTmZP//8UxFiqG0xMDCQwMBAqlSpYpZPWbZsWXx9fQHSCXTFWi00NJSVK1cC0LNnT+kHSKyC2tYLFy5M69atadmyJTqdjiNHjhAUFMT169e5ePGiMubGx8fj4eFBlSpVKFasGF26dMHNzQ1PT0/luFL0I5FI4Im/d/v2bc6cOcNbb72liUmKv52dnZWcciHQFa8RBQRtbW05duwYY8eOzXOBrjhv3bp1OXTokBJTUouNk5KS5NydjxG/YXJyMoUKFcrQjvr16wfArFmzlJikTqfT7Adu2LABIM8FuuIzVKtWTfGhxTwv1ncXL16kQ4cOco6WSCQSiaQAIDvn5iHWSASPi4tj8uTJ7Nu3T3EqRSDUw8OD7du3U6ZMGU0ChiU75gqMAzapqan8/fff7N+/n7i4OBYuXJjtY0oKNmJxFBYWxujRo9N10AWUv729vfH19WXAgAGK/Uo7kWQXtSgtJ5uH6mNkxZdffsmaNWuAJwtkJycnVq5cSZMmTcw6lxiXFy5cyDfffKNsqnp5ebFz506KFCmSaSV2iXXJrGMuaCutWUuYmxFBQUEsW7aM3bt3A086mKmv64UXXmD+/PmUKFHC7OOa20H3jTfeYN68eZb/YJIMUY9Na9asUarneXl54e7uTu3atWnUqBGlS5emYcOG6HQ6ChcurDnG01Q+N+fazKmK3qNHD7MEuhmdQyA21HU6HYmJiRQrVkxuHj7HFIQOupKChXqD0JK2Eh8fT8+ePbl586ayiSnmbbEOl0nmzxdBQUH069dP6V6m1+sV0farr75qUYFuVsJcQPF11V32xHtv3LjB119/zYEDBwDZQfd5xxIddDPrmAta23waYa6ajDroGnfolR108w+mhLnCzgC++OILunXrZtH5UxwrIiKC8ePHc/r0aWU9LOykVKlSLFq0iAYNGpg8hrrjo6UQPu/XX39NXFwcDRo0YO3atVKYm8fkZjG3rDroCrsTcZySJUuyadMmypcvL31MCQDdunXj33//VcZT432aChUq4Ovry9tvv/3UcRYxLkVHR+Pn58fNmzfTdfqztbVl4sSJ1KpVi6tXr3LkyBHS0tJITU0lLi6OEiVKULJkSVxcXKhTpw5ly5albNmyeHl5mbRpuc6XGPP3338zdOhQTUdxgHnz5vHGG28A2iTPyZMns2fPHo3t56SDrkQikViK5ORkpk2bxu7du5V5T90FVI1xCpj6NerCFsY+QOHChXF1daVy5crUq1ePMmXK8MILL+Ds7KwUWRFktcckO+g+f+zYsYNp06Yp618hygGYPn06ffv2zbVrUdvl8ePHWbRoEefOnVPWSfDkXihTpgxbt26lVKlSZvu8mXXQFcdwcnLim2++0RS2k0isial1kXgsNTWVtLQ0HB0d5TpJIpFkinFuXGJiIlOnTuXtt9/WPK/+u6B10A0MDGTQoEHodDpl3ra3tyclJYU1a9bQokULmW+UDxH2FhQUxIwZMxg+fDjNmzfP1I6MO+ga5w3lpw66qamp9OvXj3/++QdA2YPS6XR06dKFL7/8UtqlRCKRSCQFAJmlYWGMFw4RERHExcURHByMi4sLhQoVomrVqhQvXtziAQ+DwUCRIkUYNmwYhw4dIjk5WQn+FSpUiPv37/Ptt98yadIknJ2dAct1zDVG7QTqdDrs7e1p37497du3Vx6Xm+PPF2KxUK5cORYtWmRSoCsSh0JCQtiyZQsAAwYMyPWuZpJnAzEO6XQ6QkNDSUpK4s6dO3h5eVGqVCnc3d2V12a0eM1qQWswGEhNTeXixYtKAq9YyJctW5by5cub1QlCjNMAx44dU64boEmTJri5uZn5qSXWID8LcwEqVarEoEGDiIuL46+//kKn0yljq7Cj//77jz179tCnTx+zk3Sz6qBbqFAhbGxs+PXXX2nUqFGubqo+z6jHq7Vr1yrCXFtbW+7du0d4eDgXL15k27ZtwGP7KFq0KK1ataJ06dLUqlULb29vChcunK7yubqKZU4Detmpir5jxw6AbAt0ja9NVIAXVeDV1yEDk7mH8ZiXV75bQeigKylYqNf3lrIRnU6Hi4sLnTp1YtmyZYoNinn72LFjvPPOO1I08RwRFxfHBx98wP3793F0dCQlJUXZdNPr9ezduxfAIgLd7Apz169fT7169TTisqpVqzJhwgQATQdd9VgrO+g+P2TWQVfdVTmjDrritaY65hoLZS0lzIWMO+ga+wwLFizA1taWHj16aOIIktxFr9fj5+fHhQsXKFSokCbJ18bGhiJFinDjxg0iIyMpWbKkRXw7YRMGg4Hp06crwlz18/A4DmAszFXvEZi6jqdNPhI+b2JiIvv372fVqlVSmJvHmIoZGY9hlowZmdNBVz13R0ZGMnDgQAICAqhfv75cLz/HiPFn165d9O/fn5MnT2oKHgi7vHXrFps3b8bGxoa3336bokWL5shuxLgUExODv7+/RpirPp5Op2Pt2rXcuXNHIyxX/22Mq6sr1atXp2zZsrRv357ixYtTv3597O3tM0xKlzyfGAwG6tevT8eOHZWOuMLX+/PPP2nVqhWurq7KmkbdQfd///vfU3XQlUgkEkvh4OBA9+7dSUhI4I8//gC0xXrVZCaWFa8Xwlyxr6LX60lJSeHOnTvcuXOHI0eOAI/XzjY2NjRu3JgyZcrQsGFDatWqhaurK8WLF8+0QLZer5cddJ8jbty4ATwRvQrbqlWrFq+//jqQe1051XuEzZs35+HDh9y6dYv79+8razThD9y5c4cFCxYwY8YMszv7muqgK/Ypxf78K6+8IoW5klxFrHeE7avXd/b29tjb2ytrK7knKpFITKHOjevbt68S51y6dCl6vV7pCG+qg+6QIUOArDvoij2ivBToFi5cWLMHpe5QGh0dDWSdLyrJXYQ93bp1Syl0HRcXx6RJk2jcuPEz00G3SJEiJhtd/ffff8r6TcY3JRKJRCLJ38hMDQshghvC+fnxxx+5dOkSu3btwmAwEB8frzjz5cqVo2TJknTt2pX69etTs2bNdMfJCeL4lSpVom3btuzdu1cJfIog+4ULF0hKSsLZ2ZnJkyeza9cuwLLCXGOMA0Dibxnoef7ISqAr7EKv1xMcHCwFupJsI2wkLS2NxMRENm7cyKVLlzh69CgGg4GEhASKFClCsWLFePnll2natCmvvvqqZmzKzhhsY2NDREQEgYGBAJoN0Fq1auHp6Wn2cQA2bdrEuXPnFMGcXq/Hy8srR9cmsQwZCXPFfJnXwlxB7dq16dWrFw8ePOD8+fOayr82NjZER0ezZ88eunTpQtGiRc2+vowEusK/0Ov1dOnSRQpzcxHxu65bt44vvvgCeGKHan9UJI0FBQUBcP78eQCKFi1K0aJF8fLyomnTpnh6etK6dWsKFy6siA2Mx0R1QqS512htga4adfBRnYgux8zcQ4wpkZGRXL9+nRYtWihjTF5sqkiBriS/I+6JBg0apEuCBzhy5Ai7du2iW7dueXWJklzGYDDQrVs34uLiuHXrlkbUaEmBbkbCXHXhGeOOuUKYazw+SoGuRE1mAl21TRgLdMUGuKmOudYU5gqyEuiKawkICMDDw4Pu3bs/9TklOcPW1lbpXiwKRqmJjY1l165dJCUl8d5771GiRAmLdHkEGDlyJIcOHdIkrQt8fX0pV64c27dv5+jRo6SmphIfH09SUhJubm64ubnh6OhIzZo1KVeuHOXKlaNChQqZJsubi4uLC76+vkrcVApz847c7JirxhyBrjrmfvv2bcaNG8f8+fOlQPc5RthloUKFWLdunUagC9qx6NatW2zatAkgRwJdtTDXz8+PGzdupBPmiv+LODs8KWogxlt19zURlxQddQMDAwkMDOTHH38EHsdIixUrRqtWrahcuTI1atSgXLlyJuMS8h54frCxsaFo0aI0a9aM3377TfPbHzx4kH79+tGgQQNNVxInJye++OILbGxsFEGv8EHUAt1vv/0WkAJdiURifYTI0N7eHp1Oly4WYzynGRe3EHvPYi9bPK9eX4njqAu9REdHo9fr2b9/P3q9nnXr1lGoUCFKlSpFo0aNKFWqFC+++CKurq54e3vj7OyszOXimurUqcOsWbOYOnWqFOg+gxgMBqKjo/n999+Vfwv0ej3e3t7p9h9zA7Wv2bFjR+7evcuXX35JWlqaJl4FcPnyZaKjo/H09DR7vZaRQFfd3QykCFKS+6i7Q2fnOYlE8nxjKjfOwcFBKd6yYsUKDAYDvXr10owh2RXoHj9+nLFjx+ZpB93ixYvj4uJCUlKS8pgYH433HSR5jynbdHR05PLly8yaNYtp06bRsGHDDPdGTAl009LS8pVAV9wf5cuXB9DcN/CkYYVEIpFIJJL8j40ho5LDErMRDmBSUhL//fcfa9asYc+ePcriQzh+IulWOHWOjo44Ojry3nvv0b59eypWrKg53tOwc+dOpk6dCqTfyB45ciRRUVHKpro1hbkSiSnEwjosLMxkB111olvFihXp06cPAwYMSFfdTyJRI+wqKiqKH374gT///JMzZ85oOoiL16SlpSljdN++fXnttddo2rRpjmwsKCiIt956C1tbW1JSUpTHW7VqxXfffQdgViDp9u3bzJo1iz///FO5Zg8PDzZu3Ii3t3f2vxDJU5OdjrkfffQRgwYN0rwvt1Ans61du5ZvvvmGR48eaexZBG3eeecdRUSRHSIjI9m6dasi0BWblp07d+arr74CpM+Qm6xatYq5c+cCWjtUbzSr/y8SF9XBRTXFihXD3t6epk2b4u3tTc2aNalbty4ODg7pigyI39mcILm4hkuXLikCXXGdoE1U7tGjx1MJdCV5h3EF1fv379OtWzdefPFF2rVrh7Ozs/La3E58jY+PZ/fu3ekEuqC1v5kzZ9KjRw/N55FIcouJEyeye/duzZit1+vp06cPn3zySV5fniQXefToEb///jvffPMN4eHhiihX3UHXYDDw6quv5kigm92OuevWrcPHxyfLcfH69et8/fXXHDhwAECTFCrG2nLlykmB7nOCXq/nxIkTrFixgqNHjwKmbaJMmTIEBATQsGFDk8Jc0IrGrSHMVSPipEuWLAFQOggKH7patWrs2LHD7A4qEsuiXtdOnDiRX375RWMDYg41GAyUKFGCTp068e677+ZYoKsWuY4aNYp9+/YpwlzjrlSenp5ERERoktcz224pUqQIVatWpUyZMrz00kt4eHhQv359ChUqlG58zE5ikhSY5R3mxIysXcxNfcwff/xREegCJmPuXl5eUqD7nKL+vdVjXUYddMXYWqFCBfz8/LIl0M1MmGt8TZC+Q6453XONE8uFv6FeV5UoUYLy5ctTtWpVWrdujYeHB40bNyY1NVX6pXmIsQ1ZeyxSH//999/nzz//BJ6M1S+88AJLly6laNGiynvEPJycnMyUKVMUgS48SYoU9tywYUPeffddKdCVSCS5gsFg4PTp06xcuVITizEWEtja2uLl5UXp0qWVItMCMf6p52bjQkTiMXUhDbHfLnxegZhTa9asiaenJzVq1KBRo0aUKFGCGjVqKMe4cuUKEydO5MaNG5oiw+pY/dtvvy0FugWQO3fu0KVLF+Lj4xWbKlSoEDY2NixcuJCXXnopz9Ye6vXS9OnT2b59O6AtVAwwZswY3nvvvWwf//bt22zdupUdO3YQFRUlhbkSiUQiKXBk1rRC+IE6nY4iRYqwefNmqlWrluExEhMTWbVqlSLQBdPxyRYtWuSZQDc0NJS3336bR48eKY8JIfLixYvp0KGDjJnmEzKyTRED1Ol0VK5cmWnTptGiRYtMf7P169cza9YsAJN5Q7a2tvj7++dpB9158+axYsUKzX6TjY0NPj4+SpMriUQikUgk+Rspzn1KhAMYFRXF1q1b2bt3L//++6/iGInXqAPXgGbhAtCuXTveeOMNpcNTToN06iqTI0aM4MCBA8q5RTKccN5ACnMleYcU6EosibCn8PBwpk2bxoULF4iNjdVU9zUOnKg3+ho0aEDnzp3x9fXNto2dO3eOPn36KBuZYsxt0qSJUlnLnKDNokWLWLZsGfAkCblBgwYsWbIEDw+PnHwtkqdAHeDx9/cnMjJS0/0EnmzW5WXHXPW1CNudOHEiv/76qyaYJO6DmjVr8vXXX1OlSpVsnyMyMpJt27axbds2IiIi5OZiHhEREcGECRMIDAzUdG4ydumNBbriMUDxC9VJFcaCXVdXV4oVK0aDBg0oUaIErVq1wtPTk4oVK2qSF9Xjm6mxLjsCXZl0UfAwJcwVa47ChQtToUIFBg4cSI0aNahVq5byvtzcYDEl0BXztRToSvID33//PXPmzFGS6MS4bmdnx7p162jcuHFeX6IkF7GWQDczYa46YS67wlyBFOg+O6j9RyFsyW4SgrkC3bJlyzJixAg+++yzXO+Yawpjga6joyPJycnUrVuXjRs34ujoKDuT5iHCfzQYDEyYMIFff/3VKgJd4465+/fvV/xWEadUr6PE40LQJp5XX5OITam786ipUaMGxYoVo0WLFlSrVo3KlStnuGaXSUH5i/wgzBVIga4kI4KDg/ntt994//330z1nLYGuOR1zQbtPqt6rVHf2U+9ngtZXMfV/gbpDsDrmZWdnR+3atUlMTGTBggVUrVr16b9kSbYQthUTE0NaWholSpQArB8rEuf96aefmD17NnFxcYptlSlThtmzZ9O8eXPNdUiBrkQiyQsym2PV854pga66UIWTkxM1a9Zk7ty5JCUlceXKFY4fP86tW7e4ffs24eHh6eZJsR5XH8d4n0m8ztR6Rz1v29raUqhQIWrXrk3x4sVp06YN9evXJzw8nEWLFhEcHKzxDeReUcFE/H779+9n5MiRGp8PHuc8bN26ldq1a+eL6zxz5gwzZszg2rVr6Qq8N2nShAULFuDu7p7t9dHt27dZsWIFgFJwU+4zSSQSiaQgkJkwF7T5POo4Z2bHyq8CXeEPnDt3jsGDB5OcnKzZg9XpdOzYsYO6deta9Tok5pGZbRoMhgwL/GbGhg0bmDlzJqCN4Yu/bW1t6du3L35+frkq0BV2OG7cOPbu3Zuu+KCPjw/btm2T/qVEIpFIJAUAKc59CoSzExERwRdffMHx48eJjo7WiMHAdEKOeFzt5FWpUoWePXtaJFlDr9ezcuVKAgICTFajFtcjAuUghbmS3EcKdCWWQNhRaGgogwYNIiwsDHiyMaiuvKtGHVwBKF++PF26dOH9999XxnBzbOzy5ct0795dOaf6+DNmzMDX11f5d0YbOUKUAdruQAEBAXTq1Mncr0JiYe7fv8/LL79McnIyTk5OJCcna543GAz5SqAq7oW4uDh8fX25du2aZkwV/589e7Zis9klMjKS1atXk5qayrRp04C8/9zPGwaDgVOnTvH999/zxx9/AKRL8Fb7mupEyowEu+oECiEIMxbrOjo6kpKSQvXq1alcuTLVqlWjWbNmFC1alOrVq5u0A5HAAY+D7VKg+2whfvNbt27h6+urBMP1er0yHul0OpydnXF2dsbPz48mTZrQvHnzXL9Wczvofv755/Ts2VPz+STPBg8ePKBw4cKaTs75haSkJHr27KkkBMETu+zTpw8fffRRvrxuifWwtEA3K2GuegPTycmJ9evXU69evWyPg1KgW7Ax5/fOSPyS0fFMCXRFjEfYhDieWpir7sKTW8JcgRDoLl26FIPBQIMGDVi7dq0U5uYTrC3QzUqYa+oeyGhrJaPn1cm/4pzGie7FixenXLlyeHt707ZtW0qVKkXTpk0BcrWDgCRzMkoKygthrkAKdCXG3Lp1Cz8/P6pVq8aaNWtMvsbSAt2sOuYKMaMY+0RnEg8PDwwGAzExMdjb25OYmJjuWkW8Xy2IzGicVf8b0IgtDQYDL730klIoU5J7CJsKDg6md+/e+Pj40Lp1awYMGKC8xtrj0cOHDxk4cCBXr17VrIneeust5s6dm+71GQl01TFPKdCVSCSWQoyTDx8+xN7eniJFiqR7TVYCXeNirs2aNeOrr77C09NTee+9e/e4efMmd+7c4ejRo8TExHDu3DkSEhIUX1bsF6kLEYlrNC7Yatxd13jPSn09NWvW5NatWyQkJCiPyb2igs/WrVuZMWNGOnsoV64cmzZtokSJEvlivZGamspnn33G9u3bNT6qiE2tX7+eBg0a5OjYDx8+xM3NDZD7SxKJRCIpGGQkfnyaAoTZFeg2b96chQsX5moH3SVLlrBkyRJN8TiRJ7V7924qV65s9WuQZI4lRePGmBLoqvey80qgC09is+p9pLS0NHr16sVnn30mfUyJRCKRSAoAUpybQ4SjExYWxrhx47h06ZISiDYWhImNa3XnWvEYaAUVpUuXZujQofTt2xd4uk3I+Ph43n77bYKDg00KM9QLKCnMLfgU1N9NLawcM2aMFOhKsoV6LO7Xrx937txRNlLUBQiME4rUdqX+28PDg27dujFu3DglqSKrwE9KSgrdu3cnODhYcw69Xk/jxo15//33adWqFfA4OUmv1yuJ6HFxcWzatImAgABAK8x98803mT59Oq6urjJBLo8ICwtj5syZyqa28SYdQMmSJZkyZQovvvgiLi4ueXWpCsL+tm7dyrx584iNjVWuVcz7NWvWZPXq1bi7u+foHLGxsRQtWlRzPknuYE7SRWbvMa4CnVHlc3UVPoGpTk82NjY4OjpSr149ihcvTvPmzalQoQLe3t5UqFDB5Gc4f/48U6dOlQLdAo6wmZCQEHx9fYmKitIkpKsTFA0Gg2Kbbm5u1K9fHz8/P6pWrYqXl5dyTGtvtkiB7vNLSEgInTp1ol27dsydO5fChQvn9SUpiJjBkiVLWL58OaAV6ZQvX57vv/+esmXLSnt8zrCUQDcjYa6pysJPI8wVmBLoGosxpUA3/6C2j+TkZKKiojhz5gzXrl0jJiYGnU6Hu7s7ZcqUoWXLljg7O+Ph4WHy/abISqALpPNH86JjrjEPHz5k+fLlnDx5kk2bNuHk5CSFufmIrAS6guwKdM3pmAtoYuzCnkXCurg+c7s8GpNRl0eA2rVrk5CQwLRp02jdunU2vzWJpclPHXONkQJdiSAkJIS+ffty//59vL292bBhAyVLljT52swEuuqxKyuBblYdc9X3SMWKFfH29qZXr164u7tTpUoVDAYD0dHRpKWlcf36de7cucPt27f5559/SExM5Pr16xpxjzie+lrB9Lgr5g69Xk/nzp356quvALnuz03UiZX9+vXj3r17ym/YqlUrOnfuTMuWLTV2aulxSVzDoUOHGDduHPHx8cp8bmdnx7x583jttdfSvU8KdCUSSW4gxqigoCD69OnDV199Rdu2bU2+1lyBrnhN06ZN+frrrzUCXeNjBQUFER8fz+nTp7ly5QpBQUFcvHjRZNEM9Rys7n5rqmiG+L+6aQBofdOMcpjkXlH+R/x2S5cuZfHixenWszVr1mTbtm35IgYorjUiIoJevXoRERGRzu7Gjx/PsGHDnspHlOsqiUQikRQEMhPmGu/VZDfOmV876BoMBlJTU/nggw/Yv3+/EscX19GuXTu+/fZbq5xbYj5Zdcy1RAzeWKBrHLvMC4HusWPHeP/990lKSlIeE/fK9OnTFT2JRCKRSCSS/I3MKsoBwpELDQ3lnXfeISQkRBF7Cadd3TW3SJEipKamKosO8Zxw7NRJO3fv3mXHjh2UKlWKDh065Dhop9PpcHFxoXv37ixZsgSdTqe5JvUCavz48VKYW8ARC9O0tDQuX75MrVq1Csymr9ggKl++PAsXLkwn0BXiIL1eT3BwMFu2bAFgwIAB2epuKnn2ELZx7949xo4dqxHmivtBjHsuLi44OTnx8OFDJdiiHl+FLd2/f5/t27eTlpbGxIkTFRFaZoEfBwcHSpcuzfXr15W5QCA2RMPDw+nZs6cmmXfv3r0cPHiQnTt3AlrhZ+nSpXnppZdwdXUFkBs4eUS5cuWYMmUKLi4u/Prrr5okWRGMjIyMZObMmUydOpWXX34ZR0fHPL1mMR42a9YMV1dXHj16pPE34HH3wJiYmByLc4Uw11i8KbE+6kSGxo0bK48fOHBAGauMBbpOTk7Uq1ePEiVKcPDgQZKSkjQb48IvhCd+oDoALc6nFosJ+9fr9SQlJREYGAjAH3/8gV6vx8PDg7Jly1K6dGlefPFFPDw8aNiwIU5OTvj4+CjzfVBQkHJc9f0lxkWZdJF/sbGx4dGjR7z77rtERUUpnZXFc8JO1IIsnU5HTEwMBw4c4Ny5cxQvXpxhw4ZRq1YtatWqpdihtRIXXFxceOuttwDSCXR1Op1if9OnTwegZ8+e0td8BggODmbgwIHodDr++OMPPv30Uz7++ON8UVADnszbHTp04Pvvv0+XGBwaGkpAQADz5s2TdvicUaxYMSUp3Figq57z9+7dC2BSoJuRMFeMd8bC3HXr1j2VMBegatWqTJgwAdD6J+qxVhTAkQLdvEPdwQTgt99+4+DBgxw+fJioqCiT73Fzc6Ns2bL06tWLFi1aUL58eWxsbDJdL9va2tKsWTPl30ePHtXYhJr8IsyFx591xIgRSkxACnPzF+o4zddffw1gsoMuPF77/vbbbwCZCnQzE+aKuD2gjMGCYsWKkZqaSkJCAoUKFVKSJtSvEfeacZEjUwnxwv7VXccFly9fxtvbW+mgK8k7rJGwZknUaxgxjgqBrnEXVFtbW8LDwxk3bpwU6D5jiI65Dx48oFChQsTHx6ebe9WoBTbr1q3LUKArjr1p0yYAjUBX+HoZdcxVJ85169YNX19fatSokS6WKuLhVapUUR5LTEzEYDBw4cIFHjx4QGBgIFevXiU0NJTIyEhlT1ZdbM44JiGFuXmLqcRKBwcHJeHxyJEjXLx4kVKlSjFhwgRq1KhB6dKlMy1qkRPE7125cmXq1q3LiRMnlGPrdDrOnDnDa6+9lu6cYh53dHRk9uzZAIpAV3w+8ZqzZ88qybxSoCuRSMxFPU4OHDiQmJiYdN1p1ajHx6z2imxsbAgMDGTChAmKQFfM++pje3t7Y2trS926dZXjBQUF8eDBAw4fPsyDBw84d+6csscIKHO7OJb4HOrisALxmPhMamGu+v/Ge0U2Njb4+vpSp04dC33bEksi5sC4uDjlMfVvb7yOzkuEf+jm5kbLli3ZtWuXso4T13jmzBmAp/IR5XpKIpFIJPmdnHYlNTeOIuKTzs7ODBkyBEAR6JqKTx47doyxY8daXaBrY2PDqVOn2Ldvn/J5xONAhg0IJLlHVrZpqeKY/v7+wOP9dfX6Q/33xo0bAawu0BVrsqtXr5KYmKjJC7Szs8PFxQUfHx/NayUSiUQikeRfZOfcbCIcuVu3buHv769U9lWLwQoVKkThwoXp0qUL1atXV5IbY2JiOHHiBKdPn+bUqVPpKrmoq+q//vrrfPzxx7i7uz+VU3X+/HkGDBhAYmKiyeS3Dz/8kMGDB2s+m6Rgoba9bt26ce/ePebPn0/Tpk3zzaav8aLZlK3JDrqSnBAfH8/8+fPZsmWLppNUWloaRYsWpV27drRp04ZmzZrh7u5OcHAwkZGRLFq0iKCgIGVzU4yxwsaKFStG9+7d+fDDDzPtoCts78CBA0yaNIno6GiT1dLhccX0EiVKYG9vT1hYGP/99x/JycnAk01LsXE5bNgwxo8fD8iFdX7g1q1bLFy4kF9//RUgnUA3LS0NDw8PpkyZki8EuoLt27crIjN18Eav1/Puu+8yduxYaV/5lKx+l6yqoqsTH5ydnalbty5Lly7FxsaGy5cv8++//3LhwgUiIyO5cOECQLrK5yLAmVV3XeNENePuuoJy5cpRrFgxGjZsSIsWLbh58yZbt27lzp07mgQN2UG3YDF8+HAOHjyo2UAxTroR86yxvYg518vLi/bt29OlSxcqV65MkSJFNK+xtI9nqoOu8ZgOsoPus4BOp6N3795cvHgRZ2dnZZzr0qVLvhLointj+fLlzJ8/H9DeN2XLlmXWrFk0a9ZMztvPITntoGvcNU/dMVd097Nkx1xjrl+/zrx58/jrr78ArX8ixtry5cszZcoUWrVqJQW6uYh6rj516hS//fYbmzdv1nQKUa9/1TEnQfPmzXnxxReVeGJWiRKZddA1FZb++uuvefPNN5X35uUcLMfd/EtWHXTV65jMOuiqhbmjRo1i3759muJFYk7W6XR4enpSpkwZ+vTpg6enJ/Xq1SM1NVVJQr5+/TphYWHcvn2bs2fPkpiYSFBQkDLuwpPxMKMujwKRmCS6S9WrV48NGzbg6Oho1e4BkszJzY65Tzv+ZdZB11isITvoPluEhITg6+tLVFQU9vb2iiBi8eLFdOjQwewu4sYCXePkSeMOukCGwly1L9G/f3+mTJminDMjW1efL6PrjYiI4NKlS4SEhPDXX38RGxvLlStXgCcCH3X3CynMzRuy6sZjXOTN0dGRZs2a8corr9CrVy/lOJae/9SxczGO29nZsX79eho1amTyPbKDrkQisQbq/CNfX18ePHgAPI69jxs3LtM5y5wOuurXqjvoZrX3beq8UVFRJCUlcfXqVS5dusTt27c5duwYycnJPHz4UPNa4w736kIaGe01qef9QoUKKf62OlYvyZ8sWbKEJUuWaAoAA9SrV49Nmzblu6Jne/fuZfTo0YA2Fl+pUiU2b96sFIyRSCQSieRZw9rCXFPnyi8ddMPDw5k8eTInTpzQ5IiI/fgNGzZQpkwZGRvNIzKLH4F1YvDmdND19/fH19fXqgLdK1eu0L9/fx49eqSs48R90ahRIzZs2CDjmBKJRCKRFBDyVwQsn2PKATQW5hYtWpQuXbrwyiuv0Lx583THaNGiBWFhYRw5coRPP/2UtLQ0xYlUV9b93//+R9u2benWrdtTOfs+Pj4MGjSIZcuWaapRAhQpUoSyZcsC2k13ScFB2F5qair9+/fn2rVrAEoXxxdeeCHPN33Vmy5btmyhY8eOuLm5ZVh5WnbQlZiD+L1v3LjBsWPH0olqSpQowezZs/Hx8cHNzU15X9WqValWrRo1a9bkp59+4qefflISdkTSo16v59GjR/zwww/A4yIGGXXQFTZXrVo1qlevzsmTJ5XXqm3SYDBw9uxZk+9Vb47q9Xq6du2qCHOlXecOmW00w+PqeGPGjAFI10FXJNXev39fqZqfXwS6NWrUoFixYsTGxipBGzHu3rt3D5DVe/Mj6vnxzJkz1KhRI52ALDtV0RMTEwkMDGTkyJF8+eWXNGvWTOlgptPpCA4OJj4+nsOHD3P37l3OnTtHWFgYqamp6RIi1PeJ2p7E8yIQKp4T95NOp+POnTuEhYVx+fJlNm7cSKlSpRQ7VH+urDroykB4/kDYwbvvvsvly5eJjIxUfhdnZ2deeOEFoqKiuHv3Lvfu3dMUwlAnyKalpXHnzh02btzIX3/9RdmyZXn//fcpV64c5cuX13Qps9R8mFEHXfWYLjvoPhvY2dnRtm1brly5QkpKiuKj/fTTTwD5RqAr7g0fHx9KlSpFZGSkYnMGg4GwsDD+/PNPmjVrZvGuQZL8T2YddNVzsnEHXVPCXPWmpaU75hpTtWpVPvjgAwD++usvjX+i0+mwt7cnNDSUcePGsXnzZmrVqmWR80oyR20zq1atYu/evUqhFnWHY9H9DlD+Vq+3jx8/zqlTpzh//jwBAQFZJkhk1UFX3eWuWLFi1K9fH7C8ACMnyPE2/5JVB131fJlRB13h+0F6Ya6xSL1JkyaMGDGCGjVq4O7urrkWEXcqX7688lhKSgp6vZ6LFy/y4MEDzp49y+XLl7l9+za3b99W7jX12koIekTHRyHMrVu3riLMlTH8vMPa1frVCNsA2LlzJ/fv32f48OHZOkZmHXSFnckOus8e8fHxjBkzhqioKBwcHDTFAUJDQ4HM57bMOuiCdmwVHXR1Oh1DhgwhJSUlnTDXuEDx4MGD+fDDDzXHyug+EY+bul4xRnt6euLp6Qk83idKTU3lzJkzPHz4kIMHDxIWFsb169eJiYmhY8eOUpibB6gFZ8ZjqLpgqrpQTHJyMocOHeLQoUP8/ffftGnThs6dO2vi7U8zRon3du/enQMHDvDHH39o4kEbN26kWrVqiuhcTWYddEX8XXbQlUgk2UH4YsadxVNSUnj06BGQeQdPc/eKxGuMO+hmtvet3uMW11m8eHFsbW2VgpvwuDhHcnIyR48e5c6dO5w6dUrZd4qOjtYU+xJjt7rAq6mCRepiB506dZLC3AKAk5NTuscMBgORkZFERkZSpkyZPLgq0xgMBurWrYunpyeRkZGKjRsMBkJDQ4mKipLiXIlEIpE8k+SmMBfyVwfdpKQk/vrrL/777z+AdAXlGjduTNGiRWVMNI/IrY65xpjqoKvT6TR5axs2bACwmkD34cOH7Nixg4SEhHT7pkWLFqVv376ZNhaSSCQSiUSSv5CZHGaSmQMonHR3d3emT5+udGhUv0/9d7ly5ejduzdly5Zl2LBhpKammkwIX7ZsGc2aNcPLy+uprr1hw4a4uroSGxurXAdAbGwsR44c4bXXXpNJPQUQ0SknNTWVAQMGcPbsWeV3vHnzJjNnzmTatGl5KtBVC3P9/Pz4559/CA8PZ+jQobi6ukqBriTHiN95y5Yt3LhxI50wd8WKFdSuXVt5vbA1kSDh7u6Or68vlStXZsWKFZw6dUqxn+wKdAHKli3LyJEjGTZsGElJSZoEJOPNRHE9ansWj7311lvMmTMHyB+JyM8D6gShjRs3MnHiRMUO1GQk0BUJ7PlRoOvj40ODBg34P3tnHh/T/f3/50x2EpFIJPZ9J/bSatFvV/tW+66K6kJpLa22nxalqFJaraIoqlTpokoX1L4vsYeQhEgiEtlEksnM7w+/9837TiarrLyfj4cHJnfuvZN75r2cc17n/Pfff+l+dvr0aaKjo3F3d1fjZhFCHi+WL1/O3Llz+eOPP6hevXq6Y3Mi0AU4fPgwkyZNSpd0UaNGDeC+vQDEx8cTGxvLlStXOHr0KGFhYRw+fJiUlBQiIyOBNEe1XKRG7nom/i0nfYgkNTFW37p1C0A3x4v3ZSbQVY7wooEYNypWrKiJCcWzvXv3Ls7Ozrz11lvExsayfv16Dhw4oL1XHjtlEcLNmzcJDQ1l7NixVKpUie7du/P0009TpUqVPB+nMhLoymO6Eug+HFSqVEmXACaebVET6ML9Ql7PP/88a9asSSfSWbVqFU2aNKFDhw5qHHwEyUygK8/5QqA7ffp03N3d0wlzxfxtLcz18/PLl/EtI4EupK0lnnzySSXMLSBkMexHH33Ejh07uHPnDqBPuBDYSkCQxVxms5k///yT2NhY5s2bh6enZ6Z72MwEunJ30jt37jBkyBA+//xzmjRpkqe/A8XDx4MKdIUf9fXXX+fvv//OUJj75JNPsmDBAlxdXdOdV0be+zg4OGAwGGjRogWANo5HRUVx7tw5QkJC+Oeff4iOjub8+fNad15IS1i37pirhLmFR0FW65ft65dffuG9994DwMnJSTt/dslMoGsrAU4JdIs/JUuWpGrVqly4cEEruibs9Nq1a0DW9pmZQFf288B9ge7GjRtJTk7m119/5erVq9kS5j6o39v6veIzOTk58fjjjwP3x107OzuCg4OJiIjQxmO1ry84ZMGZ3M1ZFo1bF3OzLgqzY8cO9uzZw48//sibb75JzZo1KV++/AONTbIwrGXLlvzzzz86P+rp06e5ffs2bm5uNu0lM4EuoAS6CoUix8TFxTF8+HBNmCvmzsuXL5OSkoKdnV2eCHTFsdkR6Fqf31acW+x9SpUqhcFg0NabZrOZu3fvcv36dc6ePUtERAT79u0jJiZGKzRvnWQvYkwi/0UUpVNd74s+4rmULVsWQPcs4b54Oz4+vjBvMR0Gg4Hy5ctTqVIlwsPDtdft7e3V/kehUCgUDy2ZdSWV9+GQt+LHwhboinXrxYsXWbNmDdHR0do1Zb9Vnz59NP+/omDJTJdh/Zzy0jYFtgS6JpOpQAS6FouFY8eO8e+//2qF7OTvo6enp5b/rHKIFQqFQqEoHhgscia9wibZEeZ6eXmxcOFCncM7M8TCf8eOHYwbNy5dpXyA0qVLs2LFijxJVBTV/8XmQq42uXz5ctq0afPA11AUPGazmW7duhEQEICDg4MuiSs1NZVq1aoVmkBXFuYOHTqUI0eOAFC2bFm6dOnCqFGjcHd3t7lREhvrkJCQdAJd8flEEKlq1ar069ePoUOHaq+rwMyjwZUrVxgxYoTWXcxkMuHu7s68efN46qmnspVAZjKZOHfuHPPnz+fgwYOaCEIkG8P9ZPiePXsyadKkLCtR7dq1i9dff123YbZV8VcEF+UE+b59+zJt2jTtvlTCZf4jz+99+/bFx8dHE+tkRHBwMAsXLmTr1q1AWuBYdo54eXnx7rvvFqpAV9jQrFmzWLVqlS4xDsDb25tff/1V11laUbjIY8SqVauYNWsWLi4ubN68mapVq2b5PuG0W7ZsGbt27QLSOnPLx7Rs2dJm0oU4xtYYFxkZSXJyMkeOHOHmzZucPXuWCxcuEBsbS0xMjO5YOYlTjHHW9wn6hBHxcxn5O2U0GunYsSMjR46kbt26Of/lKvKVv//+mzfeeCPd3DZ69Gjeeust4L5NHzt2TBOOgb5zvPyaLA6qU6cOtWrV4tVXX8XDw0PXpSwvEsUTEhL47bff0nXQtQ5ATZ8+XavOr9aaxQNhHxcuXKBv376a8Br0nRe6detWJAS6wq5u3brFa6+9xunTp3UJwyaTiTZt2vD+++9nOicoige5HUdiY2PZvn17OoGunLgoCv40a9aMjz76CMi8Y25+CXNlLl++zGeffcbOnTu1Ijgmk0klWBYgYn1nMpkYP348f//9t/Yz2dciEijF8QaDQZckKyfziueVmprK448/zvLly7NVudlsNnPo0CG+/fZb9u/fr13XWohRrlw5Fi5cqBWQUSgyQy4Y9Pbbb+sEupC297BYLJQpU4YOHTowceJEXFxc0glz5fEoNTWVdu3a8c033wAPtv7MbJw7evQoUVFR7Nmzh2vXrhEcHEx4eDh169blxx9/VMLcQqagOkmA3sbkIhuCSZMmMWLEiByfV76nLVu2aAJdwKbPvXz58kqgWwwRz/nzzz/nm2++0fllLBYLtWrV4qeffsq2r1IedzIS6IqxVawxC0KYm13kBE+5Q6tacxYssbGxjBw5ktOnT2v2I8fBZeQ4uVz0WqwV3d3dqVWrFgMHDuSZZ57B0dEReDCbSk5Opl+/fpw7d05XmKNTp0589tlnmb5XXDcpKYl3331XJ9CVi23B/SLaY8aM0QS6amxVKBTWvPTSS5w5c0YXQ6lQoQI///xztjt4ZidWJB+bUawot2QWY0pMTMTBwYHTp09z8+ZNTp48ib+/P1FRUQQHB+vWDeIzdOvWjU8//RRQc3hx4OLFi/Ts2VPnPxLPVeyXikphcrEWmThxIn/88Ye2ZhR7vFWrVukKzCkUCoVCUdwp6I65md1DYmIiy5cv1wS6YNs/+fjjjz+wQFe879atW7z66qucOXNGWxfLe/YJEyYwatSoPPmcipxR2MJcmTVr1jBjxgwAmz5Oo9HIoEGD8kSgK+7/ypUrTJgwgYsXL9rUdXz++ed06NDhgT+bQqFQKBSKgkN5MLMgu8Lc7777LtvCXEirzNu2bVv69euXLghnNBqJjo7mt99+A9ILFrKLWKgNGDAAb29v7TyiIxTAn3/+yd27d3N9DUXhYTQaNZGKSGSUq4pevXqVGTNmcPjw4XRdUPITWZg7ZMgQjhw5gr29PUajkYiICLZu3crSpUu1alTWWHfQrV+/vi5gLzYigNZBd9WqVdrrypYfDUSyokjosLe3p0ePHjRr1gwgW8kN9vb2NGrUiClTpvDEE09oASM52Vh00J0zZ44uGURGfO/at2/Pt99+S5UqVXByctI5A0S1VZFwLCdmvPXWW5owVx6fFfmHPL8PHDiQO3fuEB8fT0RERKZjiOig26lTJ0CfqGbdQfeff/4hKSmpQD6PNcIxKa9NRGDcaDRy7949EhISCuXeFOmRE7JWr17NrFmzgPsJC6dOndKOsYV1VfSRI0fSvn17IK27mTi3XBU9PDxcNxbJIjBAl6jh5eVF+fLl6datG2PGjGHhwoVs2bKFjRs3MnPmTN58800aN26s63AqnKXi/uzs7DSRh3XhAuuENLlTlLOzM2azmd9//z2dkFNRNGjQoAEtWrTQnpsYE7/55hu2bNkCwNChQ5k5cyaLFi2iadOmWnc92cEsd0gR57h06RK///47w4cPZ9y4cWzfvp2IiAgge/N8VogOupMnT8bFxcXmmA7w/vvvs3HjRiCtuquiaCPso1y5cjg7O+uq9cvP9pdffuHjjz8u9DlRjJ3u7u60adNGGzMhbU9/4sQJDh06BKBssBggz3PW2NoDZ2cPKzrovvrqq5QvX143z8v//u233zRhrvBfGQyGQhHmQloH3WeeeQaz2YzJZKJbt25KmFtAyMLckSNH8vfff2u2Yt2pTKzfAEqUKKEJHuQ9tyxuEWu8AwcOMG7cOMB28Q0Z0UH3lVde4YknntDdo/i3vb09N2/eZNy4cZw+fTp/fjGKhwpZ4D1v3jw6deqkG1fFfsNgMHD79m3+/PNPFi5cyKhRo9J1zM1ImCvOn1usxznxHQJo0aIFzz//PB9//DHff/89a9euZdWqVUqYWwQoCsJce3t77fnPmTOHJUuW5Pjc8h6me/fuDB06VCsIa8vnLjronjp1Srd/VxRthO099dRTOhGtmK8TEhJ0HUuzQk5+W716NY899piWiCb7osRaVPxdFIS5kPb7kMduteYseEqUKMFTTz1FtWrVMJlMunFS2KfFYsHZ2RlnZ2ftfeI4kZRrZ2dHTEwMR48e5a233mLq1KmsX78eSPNl5nSsSk1NxdHRkeHDh1OqVCnNfg0GAydOnODw4cOZnte6g26HDh10n03cN9zfzy9dupT9+/eTnJyshLkKhUJDjD1CgCvHkZOTk4mNjc32ubITK5KPzShWlFusY0wyzs7O2Nvb07RpUzp16sR7773H+vXr2bRpE8uXL+eTTz6hS5cuPPHEE5QqVYquXbsqYW4xwmKxULJkSVxcXHRzuLCp48ePA0Wn25e4P1EEU3x3xP0+6HdBoVAoFIqiRFEQ5kL6Dro9e/akfPny2rWs/ZOig25MTEyu1qoitz8pKYlx48Zpwly5oAxA+/btefrpp/PscyqyT1ES5sL9DrpyUx2xdpXz4NesWcMPP/zA1atXc30dsTeLj4/nvffe4+LFi9q1ZNvs37+/tp9T/nmFQqFQKIoPyouZCTkR5taqVStXCbLOzs60aNFCJwiDtAWV6EaW20CdWLjVrFlTE+cKYYRYyO3evZtbt26pRItihrC3uXPnMnDgQC1ZUogbrAW6hw4dylHyRW6xFuYePXpU+z/ct8mwsDBWrFjBgQMHMjxPTgW6Gzdu1JKTVGD74UN2sghbEoI1BwcHLVG4Xbt2Oe58ZjAYqFOnDpMmTcq1QFe2y8cff5yFCxcybNgwqlatqgVWRfKJ2WzG2dkZd3d3LZFEdL0oKhVjH3bEWBkcHMyAAQOIjIzUxqbw8PAsxxBbAl25y1RREOhai+Ssv0NxcXHExsYqcU8RQe6Y+8knnwBoHe+jo6N1x2T0/uwkXYhjspN0kZlwSATaK1euTK9evRg7dixr1qzht99+Y8WKFcyePZvhw4fTpEkTatSood2HcKLaKlpg6zoODg7cu3cPQFsLKIoe5cqV4/HHH9fGQLnb3u+//05wcDAAbm5uPPfcc3z++ed8/vnnPP7447i5uQF6IbmYM+VEpIiICI4cOcK4ceOYMGECn332GVFRUdy9exdIWxvkZi9jS6BrPaaDEugWR4Q9pqSk6AoZib1wURPoAjg6OtKvXz98fHx0QR87Ozvu3r3LwoULuXLlirLBIo68bzUYDAQEBLBz504WLVrEvHnz+PTTT9mwYQN//fUXCQkJ3Lt3L9t72MwEuuK64o/oUAv359zCEOYKatasyYQJE2jatCnPPfecSrAsIMScnJKSwrBhwzh48KA2x0HafGaxWKhatSrPP/88y5cvZ8uWLezYsYNff/2V6dOnM2DAABwdHXXiXUDne/rrr7+055rVM81IoCsX61ACXUVOyYlANzIyknXr1vHff//pxLiySFcW5spzcl4hF1GS7xHud8hq1aqVEuYWMtYxIeFXL2hhrslkIjU1FRcXF+D+3jgyMjLH11AC3UcHV1dXLR4jF0gLDQ3lxIkTOTpXVgJdsY6wFgKL9wwfPrxQhLmKooGI2bz66qv07NmTypUra6/L+yUADw8POnfuTKdOnbROdbIfUbxHzIlbt27lf//7HyNGjODff//VfPqZFUmyRthjo0aN8Pb2BtK69YSGhrJ3717dPWZ0jowEuuKziuJbx44dY9asWQQGBmb/l6hQKB56xFzduHFjAN3+5NatW1y5ciXH58uNQDciIiJPBLqZ3Zf8t7iOm5sbbdq0oWvXrsyZM4cVK1awbt06VdCtmGEwGKhYsSJt27bVXpP34Hv37tW6OBcFxDpBxO/FOsPOzg6j0YiHh0dh3p5CoVAoFHlGVuJHOY44adKkfBc/FpRAV/jULRYLI0eO5Pjx49r/5YLeFSpUoHPnztSqVSvPP6sic4qaMFcwaNAg3nvvPSDNjgwGQ54JdGXdyZgxYzh58qTONoX/vlGjRjz//PNaTEDlwisUCoVCUXxQmR0ZkBthbm4Xfp06dWL58uWcO3cO0IsOg4ODSUpKwt7ePteBa4vFgre3N6+//jpvvvmmluwO94PrERERLFq0iFmzZmlCEEXRx2g0agkN77//PgBr167VbFEWwwqB7rRp03jsscfy7TlnJswVQWixwe3cuTMdO3bM9Hyi44oQ6I4bN45z586lEyADXLlyhQsXLqgkj4cQ+ZneuHGDChUqABASEqL9HOD//u//ePzxx3N1DVmgO2fOHPbv3699l8T3SQh04b5TSjh+5OpVgrp161K9enWGDRvGrl27CA4OJiYmBrPZjKurK48//jhly5alZs2a2ntke1bkL3LHXDG/i7EpJCSERo0apevkaY0Q6ML9ZCAx/omkSVmgC/DMM8/g5OSU/x/OCldXV0CfPGo0GnFxccHNzU0FtYsIFouFc+fOaR1zZZu8fv26dkxOBLqCXbt2aWOVSJaUky7mzZuHj49PtubPjCqfi7WrnZ0dLVq0oEWLFgAkJyeTnJyMv78/d+7cYc+ePVy/fp3AwEAiIyN19yN3djabzTg6OmqB8UWLFvHcc89l6/egKFjE8xgyZAi7d+/WdXq2WCwcO3aMS5cuUblyZW2c9PX1xdfXl8cee4ydO3eyd+9eNmzYAKStJYWwQk4mFuPYsWPHOHr0KLt27aJGjRq8/PLLVK1aFTc3t1zbhhDoAnz66ackJiamG9NNJpO25u7du7caP4sBRqMRNzc33N3duXfvXrrkXDHupaam8ssvvwDwwQcf5LjQS15iNpvx8fHhww8/ZMKECSQkJGjjor29PVFRUUycOJFly5bh5eWlEtSKGPJcBvDDDz9w4sQJtm3bRmpqqk1BdZ06dShXrhxjxoyhUqVKlClTBsg8uCgEugBLliwhNDRUN8+L+xBjaGF1zLWmRo0aLFiwAB8fH0AlWOY3sjB3yJAhnDhxQlc4TRbmPvXUU4wcOZJGjRpRokQJzYY8PDzo3bs3AN26deOTTz7h0qVL3L17N11xQYA9e/bQtm3bbO3LhUBXsH//ft2a1Vqgu3DhQvz8/PLyV6R4CJH9NPPmzQPu79dlexX/TklJ0SWGZybMLShxrK0uj0qYWzjYEubKexLIf2Gu3MHC3t6exMRESpYsyXfffYeXl1euriXGfqPRSPfu3YH7RcLOnz+fruinLND9/PPPady4sdqPFxPq1KmDn58fhw8f1q0JAW7dupXj84n9sL29PatXr2bIkCEcPnxYG5/kpEZI89UPGjSIyZMna68pv/ejh7yXHT58OAAbN24kODhYN+YAhIaGcurUKdq2bcsrr7zCv//+y4YNG4iIiND5iuSCLgaDgf3793Pp0iXKlSvHuHHjaNSoEe7u7prtZ2dsrlq1KqNGjWLy5Mk6H//KlStp06aNbs1qC2uBLsC2bdu0dbc8btauXZu6devm6vepUCgeTsQ4JfxBouCzGFtEccqckN1YkTj2yJEjTJw4kc8++4yyZcsWyLxt6/zinkXBVzlnSlG0Ec+uUqVKQJroXKwT7969y6lTp2jfvn2R2FOI64sYpFiPpKam4uzsTIkSJQrt3hQKhUKhyCsyyn2XG/sIH87bb7+tNRXJ79idtUAX4OeffyY0NNSmf1IIdBcsWIC7u3uWa1VZmDtkyBCOHDmixcbk3CSj0chLL71E586dAZWHVJBk1c1ZiGGhYETj1gwePBiAmTNn2swFNZlMrFmzBrjf3bZatWrZOq9sm8OHD9fl1cv2V6pUKbp3757rHGiFQqFQKBSFi/Jm2qAghblik1OqVCntNRE0hPudc5ycnB7IAS4WbrVr16Zhw4YAum5QAJcuXdKEbqoDT/FBrgr1/vvvM3DgQK2KjtisClGsEOgePnw4XzroZibMFUEkIdLt0aMHc+fOBfTdHG0hNuW2OuiKP6mpqTRo0IC5c+fqBMCK4o/sVJk4cSI9evTA398fuN95XO64KKqb5/b5C4HuO++8o3UAzGkHXRl7e3tKly5N9+7defPNN3n//ff58MMPmThxIk888YROmCuur8h/zGYzycnJjBs3jsjISK0Tjejqefz4cSB7z6Mod9AVdhkUFKR7Xdi1i4tLoYqPFHoMBgNVqlShfPnymohCPMPz58+TnJycLZvMTlV0+ZjsdNDN7v2LsVqMwUJgKwoSdOjQgU8++YTVq1ezadMmVq1axYcffsgLL7xAq1atKFmyJE5OTlryifi+LF68WAlzizDieTg6OtKgQQMgbZ8hEsjnzp3L7du3dcICIb79v//7Pz744AOWLFnC8OHDcXd316phykUr5G66wo4DAgL4888/GTJkCFOnTmXdunUkJydrjvqc7mlsddAVzvHU1FQcHR2B+2vuw4cPP/DvTpH/CFFiZqIWsZ6DotFBV6w5GzVqRMeOHTUbhLR18eXLl/niiy+Ii4vTJTMrChexb0hISGD//v289tprfPTRR/z666+kpKRo3ZKMRqPOLi9evMiuXbsYNWoUs2fPZvfu3QBZPtuMOuhaY7FYSElJwcnJibVr1+Ln55fhsQWBEOaqBMv8RYwXJpMpnTBX7j5msVjo2LEjn376Ka1atdIJc0G/rvPz82Pu3Lm88MILuLm5petICnD58mXNhrNDZh10xb9VB11FTslOB135jyxaS01NpW3btoUizFUUHYqCMFd0vLdYLLoiG9999502l+eW3HTQnTBhAkePHlX78WKCKLABaXO0sNGjR48CaLacXbLqoCt3wzMYDJQqVYqaNWuSmJiou77i0cNaoNu7d+90HXSFfQQEBLBt2zb+/vtvRo0axZIlS5g4cSKurq66IkTW54+MjMTf35/Ro0fz0UcfsXHjRu1n4jpZ0bp1ay3pUfgJzGYze/fu1XUuyYiMOuiK85hMJrp168YXX3wB5D6GpVAoHl4qVqwIkG5uPX/+PJBzX3duOuhOnDgx3zvoZob1ekGtPYsP4ln17dtX81MKhO99yZIlHDlypEg8VzEPi/Wt8NlaLBZKliypK26nUCgUCkVxJCthruzH8fHxoUqVKjphZH6TXx10sxLmysLfAQMG8Oqrr2rXKQprlEeBzGzT2lcyaNAgTTQu/JAFxeDBg5k2bZp2bWFX1h10161bl60OujmxzT59+jBw4EBA+Y8UCoVCoSiOqIioFQUpzIX04lzhKBfkZYfTihUrak53uXsu3Bfnim5BKlBevMhKoAtpHTnzS6CblTBXTvzs0aOH1hkwu5VXRZdga4Gu+E42atSIdevWaSI7tWF+OJDt44MPPmDr1q3ExsYyadIkLl++rEtYt7Ozo379+g98TYPBQN26dZk0adIDC3Stx1K1YS4aGI1GHB0dtWrRwsEjxo3o6Ogcnc9aoGvdcaewBLriHkQCu7BR8bpI0lPBxaKFs7OzlkguuHv3bo6KtGRXoCuOzSuBrnx9sL2eFOcuW7YsrVq1om/fvixcuJCVK1eyfv16Vq5cyYQJE+jRowcNGzZk0aJFPPvss4ByiBd1HB0dGTZsGKVLl9bWYmJ9GBERwe+//64Jr4F0Yu6nnnqKiRMn8tNPPzF48GCtg7lYP9rb2+tEE3Df1oQA+O+//+bjjz/mlVdeYc6cOURERORqrZuRQNdoNGoBqY4dO/LYY4898O9Mkf+kpqYSHx9PfHy8LindlihHCG+KgkAXwNPTkxdeeEFLQhbfGZHUu3v3bn788UcSExPV2FgEEHvv27dvs2TJEmbOnMk///yjCXnEGCK655pMJm2sFGNZbGwsf/zxB2+//TZr164Fsg6AZyTQtfYrATRp0kQrolAUfD7KbvMPuWPu4MGDMxXmdu/enfnz5+Pp6am9X3428rrOYrFQqVIl3njjDdq0aaPNj4BunFq1ahXHjh3L9v0Kge6oUaNo06aN9hnENZVAV5EbZIHuZ599RufOnXXjolzwT5Camsrjjz/O0qVLASXMfVQJCgpi4MCB6ar1Q1ridl5V689MmCv2PLIwd/Xq1fj5+emKy+SW7Ap0hbDsxo0b/PXXXw90TUXBIMa61q1ba8VhIG0fHRgYCOSuK3dWAl35+rGxsXz33XesW7eOuLg4m+tTxaODtUC3T58+OoGuOAbud9Bdv349X331FRUqVGD48OH8+OOPjBw5UosLyh10xFgqxs5t27bx/vvv8+abb7Jt2zbi4+N143RGdujj45OuQ67JZGLz5s3cvHkzW4WxrAW6HTt21D5j165d+fTTT7X/q/2QQqGwpnr16ri7u2vjnJi7r127BuTOl5NbgW5exYoUjxYWi4USJUpQvXp1gHSxcoClS5dy48aNQrtHgcViIT4+nlOnTmn/FzRp0oQKFSoUCf+pQqFQKBS5IauupJA291ksFsLDw1myZAlbtmzRmgYUhA8nrwW6mYkfrTvy9uzZUxNeqj16wZGdjrmQZp/r16/nxIkTQOHEtgcNGpROoCuaSAnbWrt2bZYC3ezYptgH9unTh4kTJwIqR06hUCgUiuKK8ihJFLQwF9A6MMXExABpi0vhrBQBygfd9IgABOPDCAABAABJREFUZ79+/WjcuLHuZ8IZ+ttvv6kkt2JKdjro5pdANzNhrvUGIjfCXOvPKAS6DRs2JCUlBT8/P9asWaMJc1Xi3MODsI8pU6awYcMGDAYDjo6OXL16lfHjxxMWFqbryCye/YNuTPNSoGt9XkXhI+ZTX19f7TX52Zw8eZKIiIgczbsZCXQLs4OuxWIhNDSUkydP6pKOxXqgZcuWeHp6quBiEcFsNuPq6qp11Jafy5UrV7h27VqOhNS5SbrIS4FuRohxXbZH8V2rVasWTZo0YdSoUcyaNYtly5apjrnFCLPZTMWKFenevTt2dnbauJOamkpiYiL//POP9hythRHyOSpVqsQ777zDt99+y6uvvqrtW2SHvGy/Qtwm1gCHDh1i9erV9OnTh+nTp7Nr165095kVtgS6Yj3btWtX5s+fn+1zKQoXOzs7kpKSuHfvnk6IC/fFr7KwTN6bFBWB7pNPPsmoUaOA9NVgw8PD+eWXX9izZ0+eFl1S5Byx5w0LC+O9995j/fr1XLlyRRuvRGECW11GxetibjabzcTFxTF9+nS+/PJL3TUyIjOBrvzn0KFDvPnmm8TExKg59SFGFuZad8yVO4CJ5IPZs2cD2ZvTxBxevnx5xo8fr9mbdbKlvb09ly5dyvZ54f7a97HHHmPkyJG6DrrWeyol0FXkBHlfM2/evHQCXYEYEx0dHalVqxb37t3T3q94tLh58yZ9+/YlMjISJyendMXcAIYPH65V63+QTvRZCXOtO+bKwty88uNkJdAVc0ZqairdunVj6tSpeXJdRf4i7KpatWqkpqbqEi/t7e2Jjo7WYpG5ITOBrvUaNCgoiB9//JFNmzYpga5CJ9AdNmxYpgLdiIgIfvrpJ5YvX86dO3eoUaMGr776KqtXr2bYsGHaWCUXPLIuSLhjxw4+/vhjRo4cyZEjR7h16xZgO0Yj7HLUqFE0b95cF2+KjIxkyZIlWoJyVsgC3ZkzZ/L444/TrVs35syZo31W5Y9XKBS2EEVRxDpR/BHjV27n0KIaK1I8fBgMBkqXLs2gQYMAfbMIYUdnzpzhn3/+0fbdhYWwe+scPUBXwE6hUCgUiuJGVh1zrRE+8HPnzrFu3Tp+//33YinQzaorqVhni3yPTz75RLuG2qMXDJnpMqzj5gaDQfvZ4MGDOXbsmM6XXZBYC3St45ZZCXSzEuaK84mCyh9//DGgROMKhUKhUBRn1Ory/1MYwlyxsAoPDyc0NFQ7n+g0BdCsWTPttQdBnLtEiRLUqVMH0FcrBLh16xbnz58HVLJ5caQwBLpZCXPlxM8HEebKn1EIN+bNm0eXLl34/vvvlTD3IWb//v1s2bIFuJ8omZKSgr29PZcvX2bfvn1aJxSLxUJwcDBAngQK80ugqyh8xHzatm1bXFxctPFRzHsJCQnpOpdmB2uBrjwmFYZA12AwcObMGQICAnQOLDH21qhRA1AdnYsKYlyRHc3CwZycnJyuy0N2KA5JF3LSnEDYpLu7u+7+FEUbkYjbunVrUlNT04nDDh8+zPLly4GMn6ewSUdHR0qXLs24ceOYM2cOc+fOpVq1apQqVUqbi4WdiHPJ3Xrs7e0JCwvjp59+YsyYMUyYMIFly5alc+xnhhDoTp06FRcXF1JSUujevbtKpiyGyGIxuL+fEMnAbdu21QU2ilIHXbEuGTFiBL169QLQ1ifC9gICAli1ahUnTpxQa9BCQowF169fZ+zYsezatYv4+Hht7BP2JcYm+d+ikIH1WlTY4KJFi1iyZAlAlgHHjAS6kBawNhgM7Nixg/fff5/Y2Nh8/s0oCoPsCHOF4KtXr15a8kFOxGViDq5atSr/+9//NIGObPMpKSn88ssvJCcn52iuFB10X3nlFSXQfUgpjLkqOwJd8f/k5GT++OMP5s6dy+3bt5WI7BHk0KFDODo6agVe5LlU2MKePXu4ePEikPt9alEQ5goyEuiK+JStbo+K4kHVqlUpW7astua0WCyYTCaCgoI0G84tWXXQlUVFwcHBrFu3Tgl0FUDOBLphYWFs2bKFVatWERMTg7OzM66urkyZMoVZs2YxdepUPDw8cHR01CUzQlrsOyYmhpMnTzJ27Fg+/PBDtm3bprsfsUaQ927PPvusFjMQPz979izh4eG6+8wMWaC7ZMkS3RiqfEkKhSIjfHx8qFGjhjaHijXoxYsXuXnz5gPNn8UhVqR4eGjRogVdunQB9Hsfo9FIdHQ069aty3FRt7xEfJe2bNlCaGioLmfJw8ND88WrNatCoVAoihuZ5b7LuWKiKIxc6AruC3TXrFlT7AS6SUlJ2eqYK/ycKt+j4MmqY66cVySel8lk0o4ZOnRokRLoWueCZiTQTU5OzpYwV9imXFBZ2aZCoVAoFMUXNYtTOMJcQNfBJCQkRFs8ioWmr6+v1kEtL7BYLDg6OjJ69Gi8vLx01QpFAt/ixYt1QmFF8SI7Al2xuH9QgW5BC3MFIihetWpV5s6dq4S5DzkNGjRg8uTJODg4kJSUpNm47AQSf588eRLIu+4mSqD7cFOmTBlt/JCFEnfu3OHs2bNAzgNvtgS6hdVB9+rVqyxcuBBANz6aTCaqVaumBUaV6LFoIGzNw8MDSFsjivFMFB/IqaMxu0kX4piikHQhbFLZZvGkffv2vPTSSwBaYrlwph85coTIyMhsnUfYeuXKlenSpQvLli1jxowZtGnTBicnJ+04eZwW7xHrBDH2/fHHH8ybN4++ffuycOFCLly4kK5jry1KlixJp06dGDduHL169VLO8GKGsI3AwEDi4uJ0gm6TyUTLli356quvaNeunS6wJ+ZrKFyBrmxjPXv2pEmTJoC+eAPAsWPH+Oqrrzhz5oxKGCpgxFgQEhLC8OHDOXfunK7ohJxIKY8zYs4VY6RITpdFE8IGFy5cyNq1awG0/XxGZNZBV9yrEOhOmzZNCXQfMrIS5soVwnv16sXMmTN178sJwqbq1q1Lw4YNAXRrSpFsKXfqyy5KoPtwIsbAwupEm5VAV+5KFRkZybZt21iyZIkS6D6CdO/enTfeeIPq1asD+nW/8AVevnyZcePGceHChVwlA2UkzJW7BBSUMFeQWQfdzp07q4S1Yoqvr6/WPVdgZ2eHg4MDd+7ceeDzK4GuIrfkRKB78+ZNtmzZwsqVK4mLi9POUadOHYYOHcry5ct5/fXXqVKlijaGygWSLBYL9vb2xMXF8e+///LWW28xdepUfvnlF0C/NhHvefHFF/Hw8NCtk8+dO8ePP/6ou7esEOtXBwcHAN0+XqFQKGxhb2+Pm5ub5ksSY5jZbM5x8StbKIGuQkbMudlZk+V0z+Pq6qqL41g3Ebh27Roff/wxcXFxGI3GXPmPHgSxHxMFa8Q+R4iCvLy8dMcpFAqFQlEcyKorqch/h/tF8sWeV44hQppA97fffisWAt3bt2/j5OREcnJytjrmKj9nwSN+18HBwRnapnhecl47UKQFusK25Px5a4Guo6Mjqamp2RLmKttUKBQKheLh4ZGfyQtLmCsIDAxk9erVgF48YzabadKkSZ6Kc8WGytvbmxdffFHrcAVpScixsbHs2LEjXQKpoviQlUAXeGCBbmEJc+XPKKOEuQ8v7u7uvPTSS0yYMEEbk8UGVRZZGI1GTp48yd9//52n11cC3YcTs9mMp6cnjRo1AtICg+K5BQQEALkLvBWFDrrx8fFs375dq+gvC+Ts7e15/vnncXV1VfN8EULYWv369XF0dNQJdAD8/f11x+X03FklXchCIpV0ocgtYl5u0aIFTk5OmthMrAn37t3L8ePHs3Uueb9lsVioUKECzz33HMuXL6dq1aq6Y2VBhRwgEonB4s/Zs2f59ttv6dOnD5988gm//vqr9n6wnWRSsmRJBgwYoImYlDO8+CCea1hYGJD2fMW4KvY+CxYsoH379ukEumK/UdgddAGaNGnCiy++qCUGAVqCnsFg4ODBg/z444/ExMQU2j0+asiBxEGDBhESEqJVvgX9nrxWrVp069aNFStWsGXLFn7//Xc2btzI6NGjefrppwG0AKS1fwZg1qxZ2h4nq3VAZh10lUD34SUzYa4IbMsdcx9EmCswGo14enrStGlTIK1wgPh3UFAQ165dy1XSRmYCXfFvJdAtPphMJvr370/Pnj3ZsmULgYGBup8X1F4jK4Gu7F+Kiorijz/+4Ouvv1YC3UcIsVbs3bs3gwcPplatWtrr1gUIrl27xvjx43Ms0M2sY65Yoxa0MFdgLdDt3bs3Y8aMYd68eYDaBxU3xHgnBI9y99yUlBQOHjwIPHg3MCXQVeSW3Ah0V6xYoQl0hd3Vr1+fkSNH8tNPPzFixAhtbSrvr6wLuG3evJn//e9/jBgxgiNHjnDr1i3tvsxmM+XKlWPChAk4Ojrq/Prbtm3jxIkTOfqc8v5NCXwUCkVmiLFPCBDkmE1SUhLnzp3THZdbimMxV0XeItZf4lmnpKRw9epV/P39+f333/njjz/Yv38/x44d0+ZI2S6ye/7u3bvTsWPHdDlKwqd95swZXnvtNW09UNC2tXPnTjZu3AikNQYAGDhwIBUqVCjQe1EoFAqF4kHJKPddxMJl/83HH3/MgQMHtCJXss9IFuiuXbu2WAh0J0+eTHR0NKNHj04nzFUdcwsf2Tb79++vs02xLhS22bt3by1uLu9NUlJSiqxAV+RqWAt0165dq62lhw0bpoS5CoVCoVA8YjzSirbMNidi8Zefwtx79+6xe/durl27BqQFzc1mMxUrVmTEiBG6+8wLjEYjjo6OPPnkk6xZs0Z37tTUVEwmE//++y/Dhg1TwcJijAiQ2NnZ8f777wOwdu1aXeVHkaQpBLrTpk3jscce0yo5Z4Zwkg8fPrzAhbmKRw83NzetC9+8efO0Ta0YM4VQNyYmhr1799KuXTscHBx0SW8PgizQnTNnDgcOHNC+S+L7JAS6AJMmTdJ9BxVFDzHv1axZkz179ug6+ZhMJl2X0tzMv0KgC7B161adzVoLdAGeeeYZXSfIB8Xf35/NmzcTHx+vORzFusbV1ZXnn39eOXSKKG5ubphMJs0mhaM7KipK+39usE66EOzatUsbq+RriqSLefPm4ePjo8YzRbYQ9tm5c2fWr1/PyZMntbFGjEHffPMNfn5++Pr6Zvu88nz+wQcfaMlI8nnlY+UiHtZd0ezs7EhOTtb2Qdu2baNVq1Z07tw5nfBRvMfR0VF7TY2dxQcxbl25cgXQ74/c3d2pWrUqKSkpuLi48Pnnn/PWW2+xa9cuXaBO2JfoqvPBBx9QsmTJAv0cwqYHDhzIlStX2Lhxo27/brFYqFy5MlWqVMnTtYQiY2z5keS9iVx9unfv3vTs2VNLEpepW7cuFouFtWvXsmLFCsLDw7Vgo9ls1v6dmprK5s2bqVevXraSw4RAF2DJkiWEhoZq87zsD9ixYwcAM2bMoFSpUnn161EUMNnpmJvXwlxI+x6I7pLCVuV9h0jayA1CoCvYv3+/ds/ynkoIdBcuXIifn1+uP48ifxB2eerUKQCmT5+Oi4sLI0eOpF69erRq1Uqzw7zy32SGvBYQgsPff/893XVlgS7AmDFjKFOmTIHco6LwEPOj0WikT58+AHz//fcEBARor4v9hSzQXbBgAXXr1s3Sf5RZx1yRKFdYwlyB/Dvo37+/9rpKCip+iLG1Xbt2bNy4Md3eODIyEsgbsaCY9+3t7Vm9ejVDhgzh8OHDuvWIsB8h0AXo1auX1h1Qja2PJtYCXYANGzYQHBycLvYiBLoAI0aMwM3NTTsmNTUVNzc3Jk6cSGRkJJs3b2bz5s3cvHmT5ORkbT0sF1VNTk5m//79BAQEULNmTUaOHEmrVq00IW6tWrWoU6eOViwRIDw8nNOnT9O0aVM1LioUijxHjCn16tXTYjlyQeGQkBDdcQ+CihU9uoj5KyEhgZs3b/Lrr79y9uxZTp48idlsJjExEUibo6tVq0aVKlXo2bMn9erVo1KlSllew2AwaDbyzjvvcP36dY4cOaL9TNiWvb09hw8f5vXXX2fx4sUFmlcRGhrKb7/9psWLxPehcuXKNG7cON+vr1AoFApFXpJZUyrQxyynTJmi+T3XrFnDoEGDCAoK0u2bxTpACHQBunTpgqOjY4H4cKwFugA///wzoaGhNn20e/fu5cUXXyQmJkaJH4sYmdmmWIcJ23z33XcZMmQI//33H8nJyezbt0+3NxEC3ZSUFIYOHcqqVato3rx5oTzPQYMGAffj63IuqPi3yWTS/J+nTp3C399fdXNWKBQKheIR45Gd0eUF4MCBA9NtTkwmE56enmzatCnPhbnC6ejv78/KlSuJj4/XHI3i7zp16mgOTnljkVe0b9+eXr166e5HVA8+fPgwy5Yty7NrKQqHrDroCpvKbQddcbyTk5PuXEqYq8gPhED37bff1nXQhTTRAsD69evZunUrkBZgzAuy20H3119/ZcaMGZqzR1E0EXYhOqGIKtRizDxy5Ah37959IMeiEOh27twZQNf1OT866Ip7Dw0NZe7cuQQFBWnXMxqN2vpm4sSJNGjQ4IGupcg/ypcvT9myZbUKewJ/f38SExMfqHp0dquii2NF0kVERISqiq7INmJ8GzJkCK6urukSicLCwggKCtKOzQp5D/buu++yYcMG4H7yhuyw79y5s2bPsiBJYN1NV7Bz507mzp1L7969+fbbbzl8+DCQ1o1XRiUMFy/EHCg62wh7M5lMVKhQgbJly+Lg4EBqaqom0LXVQVfYUWF10BVJSw4ODkybNo2WLVtqnX8sFgtVqlRhwIABDBgwABcXlwK9t0eRnAS5x4wZw9SpU3WdRQVyAYBBgwbx4Ycf0qxZMy04Z909/NChQznqkpJZB13xb9VBt/hTWMJcGTc3N0A/b4q/H/QaqoNu8cbaLu3s7Lh37x6RkZHMnj2bN998k7fffpv//vuPqKgo3TorPyueZ9VBF9Ls+fbt26qD7iOGXHG/T58+6TroWndnyG4H3aw65hoMhnwX5soFjTJDxAysX1MUTzw9PQG0/YOww4CAAKKiovJsvM2sg66wKdVBV2GLB+mgK2xL7P3t7Ozw8fFhzJgxfPbZZ0yZMgUvLy8tXinvwcQ4fuvWLQ4cOMDLL7/MRx99pBXmqlOnDl26dAHQJVd++eWXXL16VY2LCoUi3xCFK6y7m16/fh3Iu71SbmNFqoNu8cZoNHLlyhWmTp3KG2+8wdKlS9m/fz8JCQmkpKRgNBqxs7PTnn9QUBC7du1i2rRpvPzyy/z999/cvXtXO19Gazjht3F3d6dv375UqVJFs2the2Kv8++//zJhwgQtryK7+5YH4eDBg+zdu1e7J7FWePLJJ2nRokW+X1+hUCgUirwis5ildVfSKVOmaIWxkpOT8fb25ocffkjXQVf2RxaHDroGg4HY2Fjt3pX4sWiQlW1ai8aHDBkCQNu2bRkyZAht2rQB9DHtotxBV6x/rTvo+vv763LpVTdnhUKhUCgeDR7ZWd1oNBIaGkqfPn2IjIzE0dFRWwAKvLy8tM44ebW5EIvGkJAQpk2bRnh4uC4BU3S1e+ONN/Dw8NDeZytBHNKc8LlZaDZt2lRLkBLnF58zuwJNRdEmPwW67733Hi1atCApKUmraKSEuYr8JCOBrhBVCvHEtGnT+O+//4CCFeja29sTFRXFzz//zOXLl/Pkmor8QcynzZo1w93dXUtah/sJZUlJSdrY9iBUrlyZN998k06dOgFpjpi8FuiK70JiYiITJ07k3Llzumq/Yh7o0KGDFmBXFE3Kli2Lh4eHtiYV67v4+HiSk5MfeD7NTdLFxIkTlUBXkW2EjdavX59SpUppgR+4v/+6ffs2S5cu1R2bEdbCXNGhXnZuw32H/bx58/j666+ZPn26Vr1VfI/EOlUgr4Xhvq3fvHmTxYsXM3ToUF5//XUuXbqUV78SRSESExPDnTt3tGct7EAkBMldGIuyQFd0A3JycuKbb76hXr16mEwmqlWrRv/+/bWuU4r8JScVfidMmMD48eMpUaKE9n7rOVacE+53NRs1ahS1a9fW+X7EXj0+Pp7FixdrSejZISOBrlgbKoFu8SYrYa4Y2/JLmCvsUHREFdcSAXL5mAe9ji2BrvBnKYFu0SQlJYVhw4als0vZ/mJjY/n999+ZOnUqw4YNY9u2bVy4cAFIs538SqrISqAri3eUQPfRI68FupkJc+WO4/ktzBW+qKVLl2a5llVFiR4e/Pz8qF+/vs5uAW7cuKHbJ+UFmQl0RYKkEugqbPEgAl3Zzykf37BhQwYMGMDGjRsZO3YsTZo00YlvZNG42O9v3LiR9957j3HjxnHixAk6deqUTqB79+5dfv/9d1JSUpTNKhSKfKFOnTq4u7trxVvFuHbmzJk8z91RAt1HiwsXLrB06VL69evHjh07uHr1qpbfYDAYtFiK6PolF2CLj48nODiY119/nUWLFnHmzBntZ5lhZ2dH+/bteeGFF3B3d0+37xZz8p9//sm4ceO0vVF++ALEOU+fPs3nn39ObGysroNZkyZNGDt2rHZvCoVCoVAUdbIqJpyRMNdsNmt5FJ6enjYFumKOhuIh0BV/y7nQSvxYeGRkm8KXkpFtiv1Ou3btbAp0xTFFVaAr9nDWa2klzFUoFAqF4tHjkZ7Zd+7cCdxfCIkNhMBoNHLp0iWGDx/OzZs388TJLDYyUVFRjB49mqCgIF0ihkgqmzlzJl5eXhw9epS1a9fy9ddfs2TJElasWMEPP/zAb7/9xvnz57l69SpxcXHa/crIgo6M6NmzJ40aNUqX2NapUydeffXVB/qsiqJDfgh0xaZi5cqVNGvWTNs0KWGuIr/JrIOuGENNJhOffPKJrvtdXpGRQFd2cs2dO5fatWvn2TUV+YPFYsHZ2VnrMic7727dusWxY8e0/z8IooNufgl0xflSU1N55ZVXtARoMbaL+69RowYdO3akXLlyD/R5FPmHWA+6uroCaR2d7e3tSUxMJDQ0FHhwm1QCXUVBULVqVV555RVA36XJzs6OM2fOsGPHDiBje85ImCs7tQHefvttzWEP0Lt3bz7++GPWrFlDhw4dqF69uiYIkYXC8vdAjMXiO+jo6Kjm8YeEo0ePcvny5XQFrZ5++mmdaDs7Al1xbGEJdMW6t0SJEnz11Ve0a9eOrl27KmFuAZGTjrmTJk1i1KhRQNZzttyd7qmnnuLll1/W1oiyOM3e3p7bt28THBycrfMKMhPois+kBLrFj8yEuXIiY352zBXcuHEjXddco9FI7dq1NVHFg5KTDroTJkzQ9nGKwsFsNjNixAiOHTums0V53SVsxmAwEB0dzaVLl5g8eTJjxozh888/59SpU1rXHkFeJ/yoDrqKzMgrgW5WHXOBAumYK3xEQ4YMYf78+cycOVPX8UrxcFO6dGldoqKwv7zyMcmoDrqPFvLzkmPRuXmOeSHQlY8R7ytXrhyjR49mxYoVjB49mkaNGgHohOPWRYy2b9/OxIkTmTp1KiaTCXd3d+1nJpOJXbt2aYmWymYVCkVe4+Hhoe335X1UcnIykDdFsGSUQPfR4J9//mHu3Ll8+eWXxMXFaTEWIN0zlHMq5H2NiKusXr2aefPmcfbs2SyvK+KdQ4cOpXXr1tq+xPoYo9HIX3/9xYgRI4iPj88XcYLRaCQwMJBx48Zx69YtXTzI29ubHj16aD52VaxIoVAoFEWdnHYllYW5Yp4VPhxbAl1Im6OhaAt05XtRHXMLn6wKXWcmGndwcNCepS2BrhCPF2WBrrhHgeyvUrapUCgUCsWjwyM9u/ft25cxY8bognzWiYr+/v6MGzeOsLCwB3Iyi0SImJgYBg8eTGBgoM7pJyhZsiQbNmygY8eODBkyhOnTp7NgwQIWLlzInDlz+Oijj3jnnXfo27cv3bt3Z/DgwbzxxhvMmTOHAwcOcO7cOSAtIQ7SFnryIlQ41AcMGECpUqW0n3ft2pXPPvss3fGK4o21QHfQoEE2q0YJge706dM5dOhQhgJdsVmyt7dn9erVmkC3V69eSpiryHdsCXRFUEjYeXBwMLNnz+bo0aN5fn1bAl0hqFy8eDHPPfccoCqrFnUMBgO+vr60bNlS+79c2CIiIkJ7/UHJL4GufJ5hw4Zx9OhRXQK0uHdHR0d69OihbLOII9agfn5+QJpNmkwm7t69q3XkzgubVAJdRUHQtGlTqlatqu1LxJgXExOTaQGNzIS5gE6YO3LkSO09YmxzcnLCz8+P6dOn89133zFo0CDq16+vvVcOJkFaYMdkMtGtWzfmz58PqLGyOCOeXWBgoCbCFXt8e3t7fHx80r0nK4Gu2CtB4Ql0xRxfrlw55s6dy5AhQ5QwtwDIaZB7xIgR2vuyM2fLgeNOnTpphQ3kuTY1NZXIyEitsEFO1gIZCXTFeZVAt3ghxqKUlBSGDh2aTpgLaQVfevToka/C3P3797Njxw5dwrC4x2rVquXp+JRVB12z2YyzszPXr1/n22+/VXN4IXL9+nVNwAr69ZRYy8n2IsbR5ORkwsLC+Oabb5gwYQJjx47l2LFjmnjMuiNeXiDva+bOnUunTp3SdfJRAt1HlwcV6KakpGQpzC3IjrlDhgzhyJEj2NnZ8fPPPzN9+nQl0H3IESKK1q1bA+iKWpjNZo4cOQLkvfggqw66SqBb/JE7zAus/YgCWdSTFbkR6H733XcZ2o6ccFyiRAneeustZs6cyUcffYSXlxeOjo66+KjcPTA0NJT//vuPbdu2ERMTo0umPHv2LF9++WW6z6pQKBQPSmpqKs7OzpQpUwZIixcZjUbCw8MJDAzMl+sqge7DzY8//siHH37IgQMHSEpK0vyYYh8jbEyIWWQhrvg5pBUPTE1N5d69e3h5eWV5beGPL1OmDFOmTKF58+Y2jxN+gQMHDjBs2DBOnDiR5353f39/Xn75ZW7evKl9DvHZmjdvznPPPYejo2OeXlOhUCgUivxAjlkOGjQo211JbfkcsxLoyu8pygJdUMLcooD4XQcHB2dZ6Doj25Ttqrh20JXX1XKelLJNhUKhUCgeHR7ZGV44EIcMGUKfPn2oUqWK9roIDotF0OnTp3nzzTdzLdCVhbkDBgzgypUrOmGuuJ7RaCQmJoZ9+/YRGxuLxWLBwcFBqxzj4OCgOUfNZjNJSUkEBATw119/aZV/+/Xrx5AhQ5gwYQK//vorJ0+etNldV2ykGjVqhLOzMyaTie7du6sF4EOMbLvTpk1LJ9CFtETPa9euMWPGjBwJdMePH5+viZ8KhUxmHXTF+H3x4kU+/fTTfBXoTp48maZNmwKwaNEinn32WUCfbKoomgiHjnUAUYyHp06dAtJXDc4teS3QtZVkKRLzrTuj9+/fXxOwKdssuojnImxSOA7t7OwwGo3cuXMnz6+nBLqK/KRu3bq6LvOQtgdZs2YNe/fuTfceeV363nvvZVuYKyeKiL9dXV3x8fFh2rRpzJs3j+nTp1OjRg3c3d01G5cLM3Xt2pVPP/1UO6caK4svBoOBuLg4tmzZousSBdCiRYsME4Fkge6CBQtsCnSFLRaWQFd8P0qVKkXJkiUL9NqPIll1zM1JkDszxDgE9zs7lylTxmZ16qCgIO21nJBZB10l0C1eGI1GUlNT6du3L8ePH8fBwUEnzBXr/65du+Zr4bSwsDA2btwIoOt8YrFY8PT0pG/fvkDeCikzEuja29tjNBq5d+8eTZo0YcGCBWoOL0QqV65Mr169tCJDAqPRSPXq1WnRogWgLw4g5lphpzdv3mTPnj2MHTuWMWPGsHHjRq5cuaKdJy8Rc7/BYGDevHlKoKvQkVuB7vnz53FwcAD0wly5S4DcMff7778vEGGu3CFr8+bNTJ8+vcDXsoqCQzzrGjVqAGl7afG6KEqYHyiB7sOF9fOIi4vj1q1b7Ny5kw0bNrB06VLmzp3LggULWLVqFZs2bcLf35+bN2/qkittncuanAp0N2/enKlAV1xbvLdWrVr07duXlStXMm7cOOrUqaPF6eVxXdin/EcWJR8/fpxr167l5tepUCgUGWJnZ4ejo6NWZBLQ4ofx8fFERUXl27WzGysSxyiBbvFg5cqVfPjhh0RGRmp7DfG38C8JG3N1dcXd3R13d3dcXFy0uVH2h5tMJurVq8fEiRNtFr+0hbhmuXLl+OSTT2jUqJHmu5IRYqIzZ84wefJkvv/++3SC9Oz6mORzh4eH89tvvzF27FidMFfk24nP4+npma1zKxQKhUJR2BiNRiIiIujcuTO3bt3CycnpgWKWmQl0xRqxqAt0hQ9UiR8LFyHM7du3r040DtkT5gqyEuiKOJLJZCqyAl252I2yTYVCoVAoHj3sC/sGCgJrZ6P8t52dnbbg27BhA0FBQenEirJA94svvsDX1zfbyW3ZEebKf4O+2q6oXCgSN+RNjRwUFItYs9nM0aNHMZvNbNu2DYvFQvXq1alWrRp16tShVatWuLu7U7duXQCqVq3KoEGDuHTpErNnz9Z9ZsXDhwiQ2NnZaZuCNWvW6L4T1gLdadOm0apVKy2pSEYW6I4ZMwbQbzIUivxECHQB5s2bp9meCBSmpqZy7tw5Pv3000wrsuYWg8FAnTp1eP/990lMTNTOr8SPxYu2bduydu1abfwTjporV67k+XgmBLoAW7du1c5vMpnSCXQBnnnmGZycnNKdJythrlyJrWfPnkydOhVQ83tRR4wdItlX2IZw1p0+fRrI2+donXQh2LVrly5ALY4VAt3PPvuMsmXLqmIcxZj8nquEnQ4ePJiDBw9y9epVTQQmgjn79u3j8ccfB9BsLTcdczP7PoifV6tWjWrVqtG6dWuuXbvG0qVLuXz5MtHR0QB0795d7YUeMkqUKEHlypW1JB6xX65UqZJOEGSN2C85OzuzYMECxo8fz65du3Tdn8X4/MsvvwDwwQcfKKHsQ0hGwlwRSMwrYa5AvKdRo0b4+vrqOk+KufjMmTPcu3cPR0fHHI/hQqALsGTJEkJDQ7WxV57zRXfeGTNmUKpUqRx/DkX+s2vXLk1QY8tXCHDp0iWtcnReJ0dYLBYOHDjAoUOHgLRiRmKc9fLyonr16kDeCymFQFewf/9+bWxu2LAhq1at0pJRlF+q4BHjX6dOndixY4dW8Eok2Xp5edGjRw9atmzJkiVLtPcIP44QxQg/d0xMDDExMbz//vvUrl2bJk2aMHz4cDw8PChdunQ6v3pukX2l8+bNA+7v162FRLJAF2DMmDGUKVNG+YAecuRYUp8+fQD4/vvvCQgISFcYTQh033rrLVavXs3p06d1HXNFN13rjrmNGjUqEGGuKOYg1jObN2+mSZMmWkEFxcNJ1apV8fLyIjo6WpecdujQIeLi4ihRokS++HWsC7sOGTKEw4cP62xRjJ1CoAvQq1cv3Nzc1NhaBLDuKrtt2zauXbvGpk2bSExM5Pbt2xm+18XFBYPBQPv27alZsyYvvPAC5cqVo0SJEtoxGT1ja4Eu3I/dBwcH6wRFZrNZE+haLBZGjBiRoe1Yj681a9akZs2aDBgwgC+//JKTJ09y6NAhXTcXuQCOfM8Wi4Xjx4/z33//UbVq1Zz8ShUKhSJTxPjl4eGhe13MnWFhYfl6/ezGiqwFuvPmzcPHx0fFiooYK1as0JL/5WcnfDf29vY4OjrSt29f/Pz8aNOmjbZWjI2N5a+//uLMmTNs375d84VWqVKFl19+GT8/vxzdi5i3K1SowPz585kyZQonT57UCmXJhTTs7OwIDg5m6dKlbNmyhfHjx9O8eXO8vb21+dzaHkVMXPjtxTpgz549bN26lZ07dxITE6MT5ppMJsqWLcv8+fOpVKlSnvzOFQqFQqEoKBISEmjcuDFHjx4lKSlJy73IbczSWqDbv39/goKCdPntYj4XAl2ALl264OjoWCA+HGuBLsDPP/9MaGiodo9K/Fi4JCUl8cEHHxAdHa0ripoTYa5A3pu0a9dOe33fvn26taAQ6KakpDB06FBWrVpF8+bNC+X5Dxo0CLgfXzeZTDg5OZGSkqKEuQqFQqFQPIIYLA95GWKxoLl+/To///wzAwcO1CXOiJ+npqaycuVKTaALpEuuMJvN+Pn5ZVugm5kw1xrryi3WlddlZ7f1psZasCv+NhqNWkVqcW57e3ucnZ3x8/PD3d2dRo0a0bp1a60Kp1oA5j9FIbFAtt0ZM2awZs0azWbkCtSpqalUrVo1U4GuQpEbMhpr5O9Hdr8rcXFx/PTTT8ybN08LvIhNvhAq1q9fP18Eupndv6J4cPXqVbp06aIltsP98a9ixYqsW7eOMmXK5Pk1g4ODWbhwIVu3bgXSnJ2yY8rLy4t33303nUA3u8Jc5eApvoSEhNCpUyet6IpY+7Vp04bly5fnyzXlNeaxY8dYtmwZu3btAtAJdMWxLVu2VALdh5D8GCfi4+OZOnUqf/31V7r52cvLi40bN1KuXDmdiOa9995j06ZNwIMJc2Ws5+eUlBT27t3L33//TXx8PAsXLszxORVFF/Eck5OTGT16NAcOHMBgMODq6sry5cuzlUAkxrbExETeeustnUAX9BVeu3XrpgS6DxmZdcwVIrO8FOYKhN1NmjSJX3/9VWdzBoMBb29vtm3bpktqzymxsbFs3749nUBXJLOJfz///PNKoFtESUxM5Pfff2fNmjVcvHgRSPMpyvuJWrVq8cMPP+Dq6ponYlVh3wEBAbz22msEBwfrimuIwgfffPMNTz31VL7ujc1mM4cPH2bZsmXs3buXBg0asG7dOiXMLSKkpqby0UcfsWHDBl0Cj4+PD6+//jq9e/dm9+7d7N69mz/++IM7d+5o77Xeewh7FnuVihUrUrFiRUaNGkWNGjV03Xoe1ObEGGyxWHj77bd1Al1ISwixWCyUKVOGjh07KoHuI4Q8x2/YsEET6ALp5mux14mMjAT0Ph9rYW5BdcwV87tcrb9Lly7MnTs3T66rKNr069ePkydP6mKLpUqVYuvWrXh5eeXrteV52Vqgay1wr1y5MgMGDFAC3SJEREQEf/zxB7t37+bAgQPa63LHPXkMhLSi0nJsunLlypQrV47XXnuN8uXLU7FiRSDzuVvYh8lk0mL3wcHB2vXFMQDlypWje/fumQp0rZHn/YiICHbs2MHatWsJDw8nMTFR58MSn08U+TKZTPTo0YNZs2bl8jerUCiKO1mt33ITMxFj119//cUbb7yhJZmLcUjuxpSf5CZWpAS6RYu1a9cyffp0AF1umthfu7m50aVLF1544QVdATTr55eYmMj+/fuZPXs2FouF3r17M2DAANzc3HJ1X+J7ExoaysyZMzl48CAJCQk2u9TL3XWbN29O8+bN6dy5M76+vhn6Kk0mEykpKWzfvh1/f39+/PFHXfdfOTbl7e3Nd999R82aNXP1WRQKhUKhKGyuXLnC3Llz2bVrV57FLIUPJyoqKlOBLkD9+vUZNGgQnTt3LjCBLqR9psTERJYvX64JdGU/p8r3KDz+++8/vvjiC86fP09qaqqu6HVubFO2q927d7N69Wr27dsHpBVdBbTr2NvbF6pAF+43yZoxY4b2f5W3qVAoFArFo8dDLc6VEyp79+5NQkICQ4YM4ZVXXsHT0zNfBbpZdcyVq/Jbi3WtKwQKRKBQHCN+bkucKx8ndx2QnY4AL730krYgVMHu/Ee2F1sJgwUZtFACXUVBYr3BjI+PByAsLIyEhAQcHR3x8PDAYDDokishe2NTURLoKooPolPYwIED8ff31xXDAPjuu++0ro55jS2Brq2uU7JAVwlzH35SU1OJjIykU6dOxMfH69ZxtWrV4vvvv6dUqVL5sl5TSRcPJ9bPJjw8nPj4eK5du0bJkiWxt7enZs2alC5dOs+vLWzK39+fQYMGkZSUpNmuGOf69u3LlClTcHFxAfKuY25mZGSvaqx8uBBzZnJyMq+++ir79u2jTp06fP311/j6+mZrHFUC3UeTwhLmyuf48MMP+fHHH9PZW5kyZR5YnAtKoFucEXNrUlISv/zyC2vWrOHSpUtA/gp0xXsjIiIYMWIEly9fTrfnNhqNDBo0iAkTJuDk5JTv/kWz2cyePXv477//eOedd3B2dlbC3CKAsNHw8HD69evHzZs3dQKaevXq8f333+Pq6kpCQgIREREsXLiQS5cuad3uAZ0PG9L83XLxySZNmvDUU0/Ru3dvXF1dcXR0TNflL6coga4iM7Ir0BWIdYOIB4kkocIQ5iqfUfEjL56LGNOmTJnCli1bdN3CzGYzX331Fe3bt8/38Sszga7si7JYLFStWpV+/frRo0cP3N3d8+2eFJkTHh7O8ePHmTNnDrdv3yY5OVnzURoMhnSiVfnfAnlNKuZ1Nzc3GjZsSO/evenYsaN2bEY2mN8CXetjLl68iL+/P19//TU3btzQ7cXE57ZYLHTv3p3Zs2fn9NeqUCgeEsTYdPXqVX788Ud8fHxo0qQJLi4u1KpVy6bfWazBshNDOX36NH369AH0OUMFOfaoWFHx5Y8//uC9997TFZqAND92mTJl+PDDD2nRogWenp5A+nWn9fx44cIFAgMDadWq1QMXtBbXioiIYPny5ezatYugoKB0OUryPQtb9PLywtHRkUaNGlG+fHlKlSqFi4sLd+7cISEhAX9/f6KiorS1gjiHuK6Y1+vVq8f8+fOpVq3aA30WhUKhUCgKm8uXL/P555/zzz//AHkTsyxOAt179+6xcOFCUlNTeffdd3U/UxQs8rM/cOAAc+bM4cqVKyQnJwMPZpvZEejKRTGLgkBXFMt58cUXWbBgAaBsU6FQKBSKR4mHVpwrJ1QOHDhQq1Tu5eVF586dGT16NB4eHtpxeSnQzapjrpzE6+7uToUKFXj66aepVq0aTk5OODo6kpKSwtWrV4mKiuLGjRucP3+exMRE7XMIRGKodUdea8GuWKjK1dG7devGp59+qh2vEojyF2EnKSkp/O9//yMpKYl27drh6elJ7dq1KVOmTLpFuCySzc97gqwFutWqVWPatGk89thjSqCryDbWY8v27du5fPkyf/75JzExMURGRmq25uzsjMFgoFWrVlStWpXu3btTtmxZLThk63wySqCryC1CDCYXs7BYLMyfP58XX3wx366bkw66bdu2xdXVNVvdT1SSZfFn0KBBHD16VLcGdXFx4aeffqJGjRr5dl2VdPHwYD1fbtmyhbNnz7J582YsFotWkVx0IPP29qZ79+40btyYunXrZnie3NxHQkIC7777Ljt27NA5yC0WC/Xr12f58uV4eHgwdepUNm/eDOSfMNf63uTCRmov9PAhC3QHDx7M448/zvjx43N0jqwEumKvBEqg+zBQmMJcQUpKCsOGDePYsWOAPhHT29ubP//8kxIlSjzwmJWRQBfSRJ5KoFu4ZGRXYs66d+8ev/76a74LdMV7EhISGDBgABcvXtT5IMX9NG7cmLfffpsWLVo8+IfPJuKzig5mSphbNDCbzSQnJzN9+nQ2bdqk7VuFqEX2R8P9bjzXrl1j06ZNbN++ndu3b9vsbGNd5EXQoEEDqlWrxquvvoqXl5dOzJWbNd6DCHTV/vvhJzsCXVvhNiXMVdji2rVrbNmyBS8vL5544glcXFwoV66c7hh5TMrt+m/btm289dZb6QQP77zzDi+//PIDfYbskp0OukKEWaJECRYsWEDbtm0L5N4Ueg4cOMAff/zBH3/8QUJCgs35OCNRbkYiXdDvnQEGDBjAiy++yGOPPQZkXUgtvwS6kH69EB0dzYYNG9i/fz+HDh3SFdlWY6hC8WgjvvfBwcH069ePqKgoAFxcXDCbzdSpUwd3d3fq1KlDo0aN8Pb2plGjRlqyeFbnTU1N5ebNm/Tp04fo6GhdkaL69euzevVqXFxcCiQOk5tY0Zw5c9KtZRQFx4kTJ5g9ezanT5/WvS6ECl5eXnz11Vf4+fll63zy/JiX8T9h73Fxcezbt4+1a9dy5MgRmw0nIM3XZe0LyAhhn/I6QezfGzduzNSpU6lUqVKefBaFQqFQKAqbgIAAPv74Y5588klGjx4NPPheNTOBLugbShW2QDc5ORlHR0fda4rCQX72hw4dYsaMGQQEBDB58mSGDx8O5P4Zyef+77//WL16NXv37gX0e5OiJNDdt28fbdq0AZRtKhQKhULxqPFQinNtJVQKwavFYsHHx4fnnnuOsWPH6kRfeSHQzapjrpzM+cILL9ChQwfatm2bZeeT+Ph4kpOTOXToEOHh4ezfv5+QkBBu375NbGysdpzsnBSfCdCJjVQSRsEj28egQYM4efIkkBasrlKlCh4eHtSuXZtmzZrh4+ND8+bNMRgM6YSwD9oFIqN7AyXQVeQtcnDl8OHD/Pzzz1rFNkirni6EtBaLRRdU8fHxwcvLi7feeou6devi5eWlO68t4uLi2LhxI5999pkS6CqyRNjSypUrmT17tmYvYszr27cv//vf/7S5Pz+wFujKQUe5kvHMmTN57LHHGDNmTLoOE0qYW/jISWl5weuvv87ff/+trRPs7e2xt7dn7dq1NGjQIE+ukRFKoFv8kauFXrp0ie+++45t27ZpazuRCCSSYMX+xMnJCScnJ1599VWefvppqlatqjvfg7Bp0ybee+89IH3y5Ouvv05UVBTr1q0DCkaYqyh6ZNUpJ7eI/bnJZCIuLg4PD48c76NUB91Hg8IW5gq7jIyMZNiwYQQGBmo+KLFG7dKlC3PmzMkzX0BOOuh+/PHH+dJlXWEb2Yd06NAh2rRpo7M1WaD7yy+/sHbt2nwR6MrC3IEDB3LhwgWbSRgeHh5MnDiRl156KX9+IYpiyf79+xkxYgSAznZ9fX2ZPn06Tz75ZLr9w7Fjxzh16hRLly4lISGBlJQUzZ8t3i/s3zox18PDg2bNmvHiiy/y7LPP4uLiAuRunM6JQNfLy4tOnToxcuRIvL29c/fLUuQLGSWTy//OzZyalUA3I/Gas7Mzq1atonHjxkqYqyA4OJiXXnpJi+15enpiNBpp3rw5FStWpEmTJtSrV4/SpUvj6upq8xzZfYbHjh1j4MCB6QQOst+zIBInMxPoyt9VuauEomDZsmULX3/9NdevX9ftpa3nQFFwQx5fjEaj9rqtYtK2imw0btyYDh06aHurjNapBSHQFcjrcJPJxKpVq9i1axcnTpzghRdeYOHChbp7UigUjw4Z+Y2E70Ssu+TxD6By5cq4urrStGlTKleuTKVKlWjQoAEGg4GyZcvavNbQoUM5dOiQ7jUvLy9+++03PDw88u0zWpOdWJEcnxw/fjxjxowpsPtT3MdisZCUlMSiRYtYvXo1KSkp2nMRc5q3tzdr166lcuXKRaJQqbgHs9lMXFwcCxYs4J9//iEiIgLAZlE4uRmF9dpDLsIKablN4n1+fn507dqVDh06PHD3X4VCoVAoCgLrQhOZ7T/v3Lmjxe/yaq+a0w66AwcOpEuXLgUq0FWF2Asf69+7/P89e/YQHR1N165dgQe3zewIdC0Wi1YksygIdEH5jxQKhUKheBR56MS5mSVUCmedyWTCwcGB5cuXa1V5rd+fG4FuUlISTk5O2RLmDho0iEmTJuHg4JAukGm9cchI6JCSkkJAQAAXLlzg6tWr7Nu3j4SEBO1+BSLALT67SsIoWOSOuUOGDOHEiRO6ALPJZLIZrKlSpQpubm489dRTVKhQgQYNGlC5cmXs7OxwdnbWHWvdATq39wi2BbpywF0JdBXZQdhUeHg4n3/+OUeOHOHGjRuaLcnBEmtRm2x3ZrMZZ2dnnn/+eZ5//nmeffZZ4ME76NarV48pU6YUaFcfRdHl/Pnz9O/fn6SkJF11//bt2/P111/n+/VtddAVc4Is0C1durS2tlBJloVLdpy7ueneJZ7b4sWLWbx4cbrx66OPPqJv374PcuvZQgl0iy/ChqKiovjxxx/ZsWMH58+f1+ZecYyczAD65Eq4P/516tSJLl266M6bU+T9zGuvvcauXbvSVUCXgzdKmPvocvv2bezt7QkJCSE5ORlPT09KlSqFnZ2drgNebsaYvAjIqQ66Dzdy55MBAwYQGRmpE+bK45TcYSw/xqUVK1Zo6znrxDJ5TMwrMuugK9YhZrOZ9957j8GDB+fptRW2kX1IvXv3xtfX1+aeJL8FulkJc+VxT07AVUkQCplp06bx008/pRvPhg8fzuTJk7XXrAtiBQUF8ffff7N9+3Zd1x9bCbqQvpvuk08+Sd26dRk1ahSOjo44OzunS+jNiuwIdCFNDCRXgFcULtbPODU1lcjISFxcXEhNTSU5ORlvb2/dHkmQ3bk9ux105f3Wp59+SpcuXUhOTtZiQg+KEuYWT6yLCovxS47x2NnZ4ejoSLly5WjRogUVKlSgXbt2lCxZMl2nr+zEhgYMGMDx48d143Ht2rVZt25dhuLf/MCWQNfR0ZHU1NR03dWVnRYsa9euZd68eSQmJgLo9rtinhV25uTkRGpqKp6enri4uBAfH4+TkxPR0dHa+8X7xHwq+xLldaS7uzvt2rXj008/zTQeXpACXWuCgoIICQnhySef1N2LQqF4dJD9Rv3799flH0H69ac87sk+d4GXlxeOjo40bdoUT09PmjZtSs2aNfHy8sLT05OpU6eyefNm3X7HwcGBn376iRo1ahToOJRZrMjBwUHzG8lrTUXBIZ7P6dOnGT58OAkJCZr9yfHlZcuWUa9evSIdv9u1axeHDh3i+++/1xWWtY4hyXF8eY8v7+/Ed87b25u2bdsyevRofH19tc56CoVCoVAUZcRaT8TMa9Soka05PK9jM1kJdOVc58IS6CoKFmGbiYmJWnHUzAS61u97ULIS6Ap7LGoCXYVCoVAoFI8WD5U4NzNhLugTdeSEyozOkxOB7meffUalSpWIiopi8ODBOmGu9bXlBKTcYiuRTnQUOHLkCBEREfz777+EhYURFBSkXbtz587MmzdP9zkV+YfYFKSkpDB06FCOHz+uS5ABfZc9OYES0AWsS5Qogbe3N+XLl6d58+Z4eXnx+OOP4+rqmq7CY24c60qgq8grhC2FhITwxhtvcPHiRV01UzlBTU64kO0d0BU1sLOzw9XVlZdffplRo0ZleQ9KoKvILhaLhZCQEE2IIXf0KV++PJs2bcLNzS3fg5W2BLqisIi8hpATK1WSZeEgO/y+/fZbDh8+jJeXF61atcLLy4vatWtnWPFcriSemTN6+/btjBs3Tgssi7n4tdde44033siXz2VNdgS68jFKoFv4CPsKDw9n1qxZHDx4kDt37ujWc6Dv9GxdGEguJlSjRg169+6dJ90hzWYzy5YtY/78+ek6qAjkQkqghLmPCj///DNXrlzhl19+ITU1lejoaOB+0MTNzY2yZcvywgsv0LBhQ5566qlCvVfVQffhJiQkhO7du5OQkGAzwdJisfC///2Pfv362RSS5QX+/v7873//4+zZs7q1oMVioW7dunzzzTf4+PjkeVDblkBX7JtUgmXBIgtzhw0bxrFjx2jRogVr1qyxub6SBbq//vora9asyROBbmbCXOv1wssvv8w777wDqPlakZ4NGzbwwQcfaHYhJ6YvW7ZME7nIyHaUnJzMypUrOXHiBDt37tSOseVDEq/LIt3q1avTrFkzunfvTtOmTXPcLTUzga74bqWkpFC3bl02bNigEn0LEesuuWfOnOHkyZMcPHiQqKgoAgMDcXR0xGw2YzKZqFatGm5ubjRt2hQ/Pz9q1qxJ+fLlbZ4vI3Ii0LVYLNSsWZM5c+ZQv379PBkvlTC3eJKVqEcW58rjGdyPD9nb29OsWTPKlStH06ZNqVOnDt7e3nh6emrHWX8fACZOnMiff/6pJaoZDAYqV67Mxo0bKVWqVAF9+vvIa5Bhw4Zx8OBBACXMLUSWL1/O3LlzAb0oVxbRwv1Ot+XKlaNjx474+PhQtmxZSpcuzb1797C3t+fq1avcvHmTEydOcODAAYKDgzWxrhiTZJ+UXDyudevWLF26NNMk3oIW6OZnQqlCoSh+BAUF0a9fP6Kjo3FyciI5OVkbyzLCWrArRIZibJWLWAKUL1+eJ598koiICP755x9dgWuAefPm0blz53TXyS8/lXz+jGJFgFprFjKxsbG89tpr2n5AtjN3d3fmz59PmzZtiqxIxtpmTp8+zb///svOnTu5dOmS7jsg9jvC3g0Gg7ZmFjZasmRJXFxcGDhwIM2bN0/XrEOhUCgUiqKMXBSmY8eOmEwmfvvtN2rVqlUoOTjFoYOuomCQdRnz58+nU6dOPP/880DBFu21FuiuWrWKffv2Afq4kb29vRLoKhQKhUKhKBQeGnFuToS5U6ZMyTLJPKcC3aZNm/LRRx/x9ttvc+nSpQyT1kaMGMGkSZMyvXZOyKzqv6hkfPLkSQIDAwkLC+P111/Ps2srsofZbGb06NHs2bNHV0HUliBCIItxRLBZtiOBp6cnBoOBZs2aUb16derXr4+fnx9OTk66hAxx/swqT4NeoDt9+nTWrl2bTtAhvhdKoKuwhSzMHTRoEOHh4drmV9iRdRDFln3Lwh3r4ObAgQN57bXX0tm4NUqgq8gJ48aNY/v27bo5HmDLli3UrVu3QO4hODiYL774gt9//x1I3xUI0neYtlgsKvBdgMjz9vfff8/MmTO1n4nkijJlyuDt7U25cuVo1aoVnp6eNG7cmNKlS+Pi4pJhwrYImBsMBg4ePMiIESPSCb46dOjA559/XmCO95x00DUajdSvX5/Fixfj4+OT7/em0CO++9evX+ett97i7NmzuuIq1kmP1p1r5XFPrirp6+vLK6+8wsCBA4EHc6wnJCTQq1cvrl27ZjNZXV4LKGHuw01MTAwHDhxg06ZN7NmzR3tdCALFui0lJUX7mbu7O23atOHNN9+kQoUKhbb/UALdh5PU1FSWLFnC4sWLAX0RCkjbn48aNYoJEyZo78nLuTghIYFly5bx7bffaqJccS8mk4nOnTszc+ZMnJyc8uyaMtYCXTEmq3VmwSELc4cMGcKJEycAcHNzY+vWrRkWf8lKoGs9PmUl0M2JMHfIkCG8++67uvtXKKwRwivrca1Lly5MmzYNd3d3m++Tx5x79+7x77//smnTJs6fP09UVJROwGY9ZsvF4MRrXbp0wc/Pj0GDBml2np1xzZZAV6xZTCYTjRo1Ys2aNVoXQfU9KFzWrVvHyZMn2bp1a7qCQLZ88ILatWvTtGlTevfuTaVKlXB3d8+WfWQl0JX3ZGazmapVq7JgwQLq1q37QPNqZsJcEVNQwtyihxy7FKIeSB/jsx7PZLGNbNd2dnbY2dnh4+NDs2bNqFKlCs899xyurq6UK1dOd+2//vqL8ePH6/b+FouFFStW8MQTTxTEx9chr0G6dOlChQoV+PrrrwFlpwXNmjVrmDFjBqD3RYv52tnZmZo1a9KjRw86dOiAh4dHtvxC9+7d4++//2b//v38/PPP2pgoryWFjYsYaLNmzVi4cCHe3t5FRqCrUCgUcN+XOXbsWI4dO4ajo6M2hwvEOkwgF2K3Nb/LBayFn16OkVuvC8Se59lnn6V27drUrFmT2rVrU7JkSXx9fXX3Isfj5U6iD4p8P8ePH2fZsmXs3LlTNQYoRMTv+8CBA0yZMoWIiAjtZxaLBRcXF1555RWGDx+udTbLa3Iyt+bEPiwWCyaTiX379nHhwgX27dtHUFAQZrOZyMhIbd9tNBqxt7fH1dWVBg0aULZsWXr16oWXlxcVKlTI1bUVCoVCoSgsbOW+w/0Y0dq1a6ldu3aRE+iCPqdTCXQfTmTReO/evYmJieGpp55i4MCBtG/fHig8ge7u3btZvXq1TqCrOugqFAqFQqEoTB4KcW5GwlyRzCsH+7IjzLU+b3YFus7OzlqFYFsdc2VhbkFsljK6hlpkFiwREREsXryYf/75h9u3b9vsNgf66qnWX0s5gCMSwsTrQmwoXnN1dcXDw4MWLVpQpkwZ2rRpQ5kyZahYsSIlSpTQXUPu0CsneGQm0FUddBUZIewoNDSUoUOHEhISoo2HYix0cHDAxcWFF198kbJly1KnTh0MBgOJiYkcP36cGzdu8N9//2nnlMVf8njaqVMnxo4dS40aNTK9JyXQLd5kNlfmVWBZjIWiY7iY34WtfPnllzz99NMFNnfaEujKAg15HlBJlgWLPG+uWrWKWbNmAeiSujMqpuHu7o6LiwtVq1aldu3alClThhYtWlCqVCmqVauWThSRnJxMr169tKReMc/XqFGDX375JcMuZ/lBdgS6sohuzZo1ajwtYIT9hYSEMHLkSIKCgrSxzFZhDFdXV1JSUjAajVoHE0AnvJELs9SrV4+xY8fy3HPP5foexXi+dOlSFi9eTGpqarqkYvH/CRMmMGrUKN1nUzw8hIeHM3v2bE6cOEFYWJi2z7BOErcW8AibrF+/PiNHjuSpp57Czc2tUD5DVgJduQOGEugWH4KCgti4cSMbN24kJiZGt2+Xx8RBgwYxbdo0IG/8OsLe//77b9555x0SExN1xY1SU1Px8fFh/fr1lCtXLl+Dm0Kg+/XXX3Pjxg3VvawAEc81JSWF4cOHc/ToUezt7TEajTg6OrJmzRrq1q2b4fPPK4FuZsJc+f2Q998FxcOHsIuNGzcya9YskpOTdcWnypQpw/LlyzMVKVrbfEREBKGhoSxcuJBr165x8+ZNgHSFBWWs1xItW7bUiTAzupatz2KxWHjnnXe0/boszM2sG7Uif0lMTMTf3581a9awY8cOXfEf2W8uiyAgzb8i20fFihWpWbMm48aNo3bt2tnqtpydDrqQlqj2oAJd1TG3eHL79m2GDRtGQECAbv8r1n3ya6C3OWvxbkZCHgAXFxdKlChB27ZtKV++PB07dsTd3Z2YmBh69uxJUlKSTjCeUQe+gsDWuKnstGDZsmUL77//vpaoaL3mc3d35+WXX6Zt27a64pVZrUmt14Z//vkn27dvZ+fOndy7d09XWBvS5nGTyUTjxo358ssv8fLyynBuVQJdhUJRGAQFBZGYmMjt27c5ePAg4eHhnD9/nuvXrwPo/OyQ5u8W6zbrwpkycjEOeS60zkUSGI1GXFxccHZ2pm7dupQuXZpmzZpRtWpVfH19qVGjBsnJyekKxcprCrn4R3aR33/w4EEuXLjA8OHDATWHFyYffPABGzZsSOdPr1evHrNnz6ZOnTp5ej3rZ52YmEhSUhKnTp0iJiaGO3fuEBsbi4+PD5UqVcLHx4dq1appx2dnLrZeS6SmppKQkMDdu3cJDg7WfKaiUE2JEiUoU6ZMnn5OhUKhUCgKEjn3feDAgURGRmp5uCkpKUqgqyg0hL3JugyxP3niiScYMmRIkRToihi/EugqFAqFQqEoaIq9ODczYa7BYMhxx9yMzp+VQNd6YWndTaKghbnW96I2OYXL9evX+eGHH/jpp5/SJfoCNu1HTrSwFayRfyZ3i7CVkCEEPVWqVKF69eq0bt2a0qVLU7NmTZvXlQM2H330ET/88IPqoKvIFrdv3+add95h//796briuru7M3z4cFq2bEnz5s1tvt9isbB9+3Y2bNjA6dOniY+Pz7BLzwsvvMDo0aOpV69epmOcEugWT8T8GxgYyNKlS6levTrNmjXDw8MjnShbjF25caCI9x44cICxY8eSkpKiS8wcOnQoU6dOLdC5NKMOukqYWzRYvXo1n3zyCYBNIa7c3RjIdH42mUzUrl2b8uXLU7t2bVq2bEmZMmWoXr06/fv35/Tp09o5jUYjPj4+bNu2rcC7MmUm0HVyciIpKQmARYsWPZCAU5Fz5CqVgwYNIiIiIl1hDHt7e0qUKEG3bt2oXbs2jRo1wmw2ExMTw6FDhzh27BhHjx5NN8/K674XX3yRDz74AE9PzwcaD0+fPs3QoUM18Zl1N6tJkyYxYsQI3WdTPDyEhIQwYcIEzpw5Y1McIbAWUIjX4L5dVKlShf79+9O9e3dKly5d4J8D0vb09+7dY/z48ZkKdLt27cqHH36oBLrFgJCQEH744Qc2bdqUbt8uj495JUoU7z169CijRo3i7t276fYqbm5uTJgwgf79+xfIuBgbG8uWLVu4ceMGU6dOBdR4XFBYLBZ69+7NmTNndF13zGYzU6dOZejQoZnOwVkJdEUicEYCXSDbHXOVMFeRE65fv07//v25deuWToRmMpn4v//7PxYuXJhjf2JSUhLHjx9n+/btbNmyBZPJpOvCJyOSzsW4Kubq0qVL06NHD5o3b86zzz6boaBIIL8+evRoIiIiWL9+vRLmFjJRUVGsXbuWv/76i0uXLunWl9ZibVsdy8S/rX3vLi4uDBkyhP/7v/+jcePG2vkymg8LSqCrOuYWX+7du8eZM2cIDw/XilNGR0dz5coV3XFinyz8f9YFXm2Fc8VzF2OsbPteXl44ODjw3HPPsXHjRhITE3XrgSFDhvDuu+8W2nxuLUBSccyC4+DBg8ycOZOAgADdOCUK8Hl5efHZZ5/RtGlTLVaY02ckP9/Q0FBOnDjBhx9+SHx8vO6aYvySO+iuXr1a59/K6NxKoKtQKPKbzNZRycnJREVFERERwcmTJ4mOjubUqVNERERw584dIiMjdceLOd3BwUHnF5eFu9ZYF+iw7kJuLdx1dHSkWrVqlCpVipYtW+Lt7U3VqlWpUaMG9vb2eHp62vx8cv5HZtgaQ9Vas3CwWCxEREQwcuRILl++nK5Q6/vvv8/AgQPz9Hrys/f39ycwMJANGzYQGRmp5dDJGI1GvLy8aN26NV26dKFJkya4ublle+2Z3fi/9ZpZzfMKhUKhKI6Eh4fTpUsXYmNjcXJyIjk5GUjbpxdlga51QRkl0H24uHr1KsOGDSM8PBwHBwfMZrO2nynKAl0RbxffISXQVSgUCoVCURAUa3FuRsJck8mULnEsN8Jc6+tkJtC1pjA75iqKJtevX2fdunU2E30Fwmns6OiIwWDQxC7iZ/LGwVZyhnXyuq0OAIAW6G7atCmenp60adOGSpUqUbFiRSpVqpTuO/Lxxx+zbt063eZJddBVWJOUlMTSpUtZtWoV8fHxukSfMmXKMGfOHFq0aIGTkxOg73xqbXNBQUHs3buXr7/+WpfACeiCS82bN2fOnDlUqFAh03vLjUBXOYcKD1lsNmDAAC2A7ejoiKOjI35+fnh5efH000/j6+tLrVq1cHV1tXme7HbXDQgIoEePHlqXWmEbnTp14rPPPsvzz5gVtgS6YtxXSZaFx8qVK5k9ezYAzs7OWscRW3OywFYxDXkOtRYoOjo60r59e65evUpAQEA64drKlStp3bq1zfvLz3VmZgJd0Atz1fhZMNjaC1kLc93c3OjWrRvPPvtshnZz/fp19u3bx0cffYTZbNYKHYG+o+2sWbPo0aPHA9/3F198wVdffQXokyRcXV2ZMWMGL7zwghI4PISEhIQwePBgwsLCMu3sLGMt3pWFFhUrVmTMmDF07do1XReIgkIJdB9OMhLoQt52DRXvuXDhAoMGDdIVJYK0gm/PPfcc48ePp0qVKnn4KTMnMTERFxcXQK0zC5qhQ4dy7NgxLBYLqamp2jg5ZswYxo8fn+X7sxLoivHJlkAXUMJcRZ4jbHL9+vXMmDFD228LKlWqxPz582nYsGGOC2kKTp8+zSeffMLJkydtdpkEvb9U9pWKtW6nTp1o1KgRffr0oUSJEhleW7b5lJQULQ6h1q2FQ3h4OLNmzeLgwYPcuXNH23MLfx+k95EDOt+6LeQiR/Xq1eOll16ib9++Wd5Pfgt0lTC3+GLrGaSkpGBnZ8fJkye5ceMGp06d4uzZs8TExBAYGKjbi8tCHjGOZic2JP4trymsi8G2adOG5cuXA8qX8ygRHh7OggUL+O2333Rzsxj/vL29WblyZboCmbnB2q4CAgKYOHEigYGBumtbC3Qff/xxVqxYkakgRwl0FQpFYSHnDlnviUUB4PDwcK5du8adO3c4dOgQkZGRBAQEEBYWZrNopdh3ywV6syPYFf+X18HWRWrs7e3x8PCgRIkSNGrUiNKlS9OoUSOqVauGt7c35cqVs/k55WuocbNocvr0aQYMGKCbU41GI+XLl2fdunV4e3vnybMTtp6SksL169fZtGkTv/32G7dv39YJxcXfcoxKrEPLlStH/fr1mTZtGuXKlVP7FIVCoVAorNi9ezfz58/n4sWLgD5PQ+RvFGWBLqgOug8bFouFlJQUnn/+ecLCwnBxceHevXuAPg9CCXQVCoVCoVAo0ii24tzMhLmgT5p8EGGu9fWy6qBrzWuvvcYbb7wBqKS1h53sPN+MBLqQJrrx8vKiZcuWdOrUiX/++YfQ0FDOnTtHXFycdh65gjqkCdAy6gggdwCQK6hbB3XKli1L5cqV8fHx4cknn8TNzY22bdvi6OjI7NmzWblyZbqED9VBVyHGx5s3b/LGG29w5swZnTDX09OTr776iiZNmmR5LnnTnJqayrVr1xgwYABxcXG6pHiDwYDJZKJDhw58/vnn2brP7Ah0GzVqxIQJE3jsscdy/ftQPBgZze8WiyVd51ER0KtZsyYVK1akXr16NG/eHA8PDxo0aGDT4WNrrBbHjRw5kv379+vupUKFCmzcuBEPD48CdxTaEuiaTCaVZFlI+Pv7M23aNK5cuYKTkxMJCQlA2lwrd/rITjGNzOZnGfn8FouFxo0bU7VqVcqXL0+LFi0oVaoUtWvXzlCclt3K0tlB/hzHjx9n8eLFHDhwgC+++ILnn39ed4wif8lsLyTPv++//z6tWrXSKuLLdmBtE3v37mXUqFHpqu+Lf1eqVIlVq1ZRvnz5B7r3PXv28Pbbb2trW9nm+/Tpw8cff/xA51cUPW7evMmYMWO4ePFiOgG5o6MjLi4uPPnkk5QoUQIPDw9SUlI4cOAAsbGxhIaGauOfPLaYzWbq1avHF198YbO4UEGhBLoPJ/kt0LUlzJX9WcJuqlevzocffkirVq3y4VNmjZrTC54pU6awZcsW3frPbDbz2GOP8e233+Lg4JDtLjY5Eej+9ttvAHTr1k03VithriKvOHnyJG+++SYRERHpihUOHz6cyZMn5+h8csEjuYCSdUEksa6VE9/lfZgQ9Ahq1apF165dadWqFX5+ftrr1j7YjNbTioLjxo0bTJw4kVOnTqXbW4O+sJ8txLGyb1CO71gLJkaPHs1bb72V5X3ll0A3M2Gu8GkqYW7xQdia9bOxWCzcuXOHCxcuEB0dzZ49e4iIiOD8+fNERUVpxwn7lLuC27J5a+GOfB3xmq+vL2+//TYdOnSwue9SPFwIW/nnn3+YNGkSCQkJus7LJpMJLy8vVq1aRY0aNfJ8DBHz6Y0bN/j000/Zt28fCQkJGQp0e/XqxcyZM7Wf2bJNJdBVKBRFAes1nq053mAwcOfOHSIiIggLC+Po0aPcvn0bf39/oqKiSExM1GJOAjnmZH0tazIS7MpFiayPs1gslCpVilq1auHu7k7r1q3x8fGhUqVKVKtWjdTUVJuFkRVFhx07djB+/HjtWYvn2rx5c9auXZun14qJiWHRokUcP36cc+fOaa9bx0OtCw5b7618fHz4+uuvqVevnpqLFQqFQqGw4u+//2bVqlUcOXIEUAJdRdHg2LFjvPLKK9y9ezfDQv9FWaArfKbi3pVAV6FQKBQKRX5SLMW5BS3Mtb5uRgJdsbEQiz0vLy+2b99OiRIlSE5OLrSOPor8R64W+dVXXzFo0CA8PT1tbjKy6qBrMBioUaMGr7/+Oi+++CIAV69eJTo6Gn9/f06ePElYWBj+/v44ODiQmJioO7/Y8MrV8jMSBIn/C4e9bMdiA1WuXDl8fX1p1aoV69evJzY2Vic0krv/KYHuo82MGTNYs2aNTrRdsmRJpk+fTseOHbO98ZbH6jVr1jBjxgztZ/L3pWfPnnzyySfp3pMZmQl0hR3XqVOHVatWUbp06dz9IhS5Jqv5PTtjl8FgwMXFhbp161K6dGmtu66fnx/u7u7atWwJFmUbFmOmu7s7P/30E5UqVSrIX4VGcHAwixYt0hLmu3fvriUeKydR4XDr1i3i4uI4ceIEwcHBBAUFcfbsWVJTUwkNDdUdKyf8AumSfjObn8Vr1vOyjLD9atWqUaZMGWrVqkXDhg3x8PCgYcOGODg44OHhkeFnyY2zXr7vo0eP4uDgoBVfUM70giE7wlwvLy8WLlxI8+bNs3VO8ex27NjBuHHjdIIg8UxLly7NihUrqFev3gN/hjfeeIO//vpL10FV2Pfy5ctp06bNA19DUTSIiopiypQp/Pfff9o6Tthp6dKlGTFiBK1ataJx48a690VHRxMZGcmXX37JX3/9pdmHPO+ZzWZeeOEFFi5cWKCfyZqcCHS7devGBx98oAS6xYD8EuiKYy5evMjAgQPTCXPFuZ2cnJg7d65W/ELxcCPm9i1btjB16lRNECvGkapVq7Jp06Zsjx1ZCXTF/C7srWbNmhgMBgICApQwV5FviKJ/QLqCbgsXLqRly5bZOo+851i+fDlz584F0ISLwmfUsGFDzpw5o71PHsdl5GJJJpNJKw42ePBgGjZsSKdOnWxeW1F4hISEMHLkSIKCgmyuucQ45+HhgZubm1bUqmzZssTExBAeHs6NGzc4e/YsZrOZe/fuae+R7UT2FQL06NGDMWPGZNnNPq8FukqY+2hga24Vr4WGhhIWFkZAQACHDx8mIiKCU6dOYWdnl+PYEOg7SgO0bNmS/v3707FjR+11NdY9vERERNCvXz9CQ0N19pKamoq7uzufffYZTz75ZL6NIeK84eHhfPHFF/z7779ER0fbtDlPT0/Gjh3LwIEDs3VOJdBVKBRFlcw67d69e5e7d+9y/fp1AgICiIqK4ty5cwQEBBAYGKiLG8nFOOQxXLxmHW8CfTzHulisLOaUcXZ2xtfXFzc3N5o3b467uzteXl506NBBiXWLGCtWrGDOnDm6rrmpqan06NGDWbNmkZKSkqucHXl+DAkJ4cSJE3z55Zdabhyg8x9lhHXcU45fffXVV/j5+Skfk0KhUCgU6Ofev/76i9WrV+sEumJPK7p/KoGuoqAQ9nXq1CkGDx5McnKyFteWG1dA0RboWovclUBXoVAoFApFflHsxLmFJcy1vn5WHXSFo7Fx48Z89tlnVKxYUTkWH1Lkzk99+/bl7Nmz7Nq1C19f3wzfk5FAV2xODQYDFStWZNSoUfTu3dvmOS5evEhcXJxWQf3cuXPcuHGDxMREnXhHdBmVg+zWCRiQlnAkknrEZxPJmGJzYl1RFdCqtCuB7qPL9evXGTNmjBYoFJ1tn3nmGd5///1Mvw8y8mZZBJQgfZKlCCpBmtMnu9gS6BoMBq2y1+LFi3n22Wdz8vEVeYB49sHBwfTv3z9DYa71ssU6mGwdCBSvVapUiXLlytGyZUuaNm1K+fLlqV69uu5ce/fuZfTo0dp4JsbChQsX8swzzxSakzA4OJjp06fj4uLCF198Aagky4JG/n3bsoPY2FiSk5M5e/Ys0dHRXLx4kQsXLmgdT8T7AF3Sr3xuOVE8s+rnsr1bLBbdXC3j4+ODo6MjdevWpVKlSvj6+tK0aVNKliyZzvZtfdbM7D2rziuK/CO7wtzvvvuOWrVq5fj89+7d49NPP2X9+vW6dalYQ44YMYJJkybl+nmLsfXAgQNMmjSJyMhIAJ0AqHfv3kydOhUXFxdlU8Uck8nEDz/8wJdffsmdO3d0QhwvLy8WLVqEn5+fbjyUi3AIvvjiCzZu3MitW7d0PzcYDJQpU4avv/6a+vXrF/wHlMiOQFcc1759e7744gtVvKuQyMn4ldcC3cyEudZCyFmzZtGjR48c37OieHPmzBleeuklIG0cNBqNlCxZktWrV1O3bt1snysrga7cwUTYnRLmKiDv95rifOfPn2f8+PGaWAbS1oATJkxgxIgRWV47pz6jY8eO8euvv3LgwAHdda276QrkImDiuCeffJKmTZvy0ksvUaZMmTz5nShyT3BwMEOGDCEsLEz3HOWxTBRoGzt2LF5eXnh5edk819WrV7lw4QKbN2/G39+f6OhoIL19yOd+/vnnGT16NPXq1cvUVvNKoKuEuY82sr/I+nkGBAQQFxfH/v37CQ0N5dKlS1y9epWkpCSdf0jswazFO6BPTGvWrBmDBw+mQ4cOgFp/PoyI/fZ3333HggULMJvN2vO3WCw4OjoycuRIRo4cSYkSJfL9XoxGI5GRkSxZsoTff/+dmJgYnc3J4vG3336bxo0bZ2qXDyLQVWOmQqEoaLLqtHvv3j2WLVvG4sWLtb25iAt5e3uTkJDA3bt3tXNYi3etC71mFF8V7xd/Z9Zpt1+/fvzvf//Lj1+H4gFYuXIls2fPTrfe69ixI/Pnz8+xD8d6rt21axdr1qzB39+fmJgYXdFz2Z7kNavIEbH2+Vv7oTw9PdmwYQMVK1ZUc7FCoVAoFGQt0C1OHXTlQvCgBLrFHbFWsxboijxyuVB5URboWovclUBXoVAoFApFfpB9NVMRIKNkdLHQy29hLugFFeL8QqBrLdwQi9IJEybwxRdf4Ovrq5LYHjJkYe7gwYM5e/Ysbm5uxMbGZipGrFixIgMGDABIl+grbOz69essW7YMo9FIr169AHQdmOvUqQNAixYtALhz5w5xcXEEBQVx5MgRwsLC2LdvHykpKcTExGj3C2lOb1mEC2nBabnCqnCwy91FQR/IEfdtZ2fH1atXmTlzJtOmTaNly5ZKoPuIcOXKFS5fvgygC7A899xz+SrMFaI0QVRUFJ6enunOJ+Pm5qYlPM+bN0+XsKSEuYWHwWAgOjqaUaNGcfv2bYxGIykpKZqT0VYQT/4DaM/SWrgDcPPmTUJCQjh8+DBwv7t9nTp1qFGjBi+88AK+vr40a9aMkiVLEhsbqztfQEAAzzzzTKE5BytXrszs2bO1RGDlFCp45N+3sANZxFqqVCkA2rVrp3tfcnIygYGBJCQkcPz4ca5du0ZwcDAXLlzAaDSmm5/ldaY899qyd+HUlo+Tu4vfunULs9lMSEiIdj8uLi6kpqZSu3ZtypYtS82aNWncuDGlS5emXr162Nvba+sMW/YuB9etUc7z/CenwtzcjBXOzs60aNGCH374QTePCrsTNpvb5y3G8po1a+Lt7c2tW7e0II34HuzevZuRI0dSpUoVFZgp5iQmJrJ9+/Z0wlwPDw8WLVpE06ZNdcdb26uY/998803s7OxYsmSJtl8Ra8OIiAjOnj1b6OJcsV5xdnZmwYIF6QS6sh0bjUYlzC1AxFiYmJioif6zO7ZUqlSJ/v37A+n37SLobDKZWLNmDQDTpk1Lt3YVZNUxVxZCTp8+XQlzH0FSU1MpX748FSpUIDQ0VLPV1NRUYmNjuXLlSo7EueL9zs7OdO3aFUAT6Mq+JzlhV/xbCXMfTVJTU4mLi6N06dJ5+qzF/F61alUqV66sS9IRa4NvvvmG5557jkqVKmV4ntz4jJo3b06DBg24e/cuS5Ys4fz58xw9ejSdIF2+hslk0u7ZYDCwa9cuEhMTGTFiRJ78PhS5JygoiIEDBxIZGZmhMLd9+/Z07tyZzp07A+gKqcrHiwKT1apVo0OHDvz555/s3r2bzZs3a+IHeRwW79mxYwf37t1j5MiRtGjRIsP9lpyc3qdPHwBNoCv7EkQM6dq1a4wfP14n0E1NTdU6OSthbvEjL4qaiecoF/oRY7MoxtWsWTMA4uPjiY6OJjQ0lAMHDhAREcH+/fu5e/eu5ue0nudl8c7x48e163bo0CFHa2ZF8UDY0b59+0hOTk7Xwa5cuXK0a9cu34W54l4sFgteXl6MGTOGxMREtm3bRmJioq5Ajdls5siRI/z55580btw4U7sUx9vb2+ti98HBwdq4KI65efMmv/zyCwaDgaFDh+Lu7p7vn1mhUChkrP2EMmIf36hRI+3/Ms899xzDhw/n+PHjnDlzhvDwcE6fPo3JZNIKYVrvd8QYaB1vkuP5Yl1pq5B7165dNWGuWh8ULXx8fAAyjOPkZF8vrzUvXrzIX3/9xeLFi7Wf2yqQLexKrDNTU1Nxd3cnISEBZ2dn4uPjtfsSa1Cxz4mKimLq1KksXLhQy+1QKBQKheJRRt7zPvfcc9rrR44c0fknU1JScHBwIC4ujoEDBxaaQFfM7Z6envzwww/pBLpyHOrcuXOsXbsWQAl0iyHiOTZu3Jjvv/8+nUBXts/9+/dr72vfvn2B+hjla7Vr107z8e/du9fmdyglJYWhQ4eycuVKWrRoofzqCoVCoVAo8oRi0zk3s2R0uVse5J8w19b9ZNVBVyxO/fz8lED3IcNamHvixAlt4T516lSGDh2a5eYiOx10K1euzKhRozSBrrVNZ1ZBPSoqinv37nHo0CFCQkI4d+4cFy9eJCkpiaioKN2xYtNsKzEN9BsY64674jgR3DGZTLi7u7N06VIaN26cy9+wojgg7O7TTz/lu+++0wX6ypUrx48//kiZMmWy/C7ktmOuELABnD17lm+++Yannnoqw47TMnFxcWzatInZs2cDemGucgIVHqdPnyYlJYXTp09z7Ngxbt26xZkzZ3BwcODevXu6Y2V7kwPHtrrrCsS4LR/n6OiIi4sLTzzxBHv37iUuLk5X3U1UhC4KdlEU7kGRNVl12g0PDyc+Pp4TJ05w+/ZtLl26xOXLl0lISOD69eu6Y+V1pa0OElnZvPUaQXY6ylSuXBlXV1caNGhAtWrV8PLyonHjxjg5OWW7yIIi/ygIYa5Mz549OXfunK5Tc2pqKi1btmTZsmXY29vnej8jbPnff//lzTff1MZkSBujO3fuzKxZs1SRl2LOokWL+PLLL7XAh9lsxsXFhcmTJ9OvX79snUO25XHjxrF9+3ZtXBRVTfv06cPHH39cJPbZtjroyiKK7t27a2tPNafnP8J+goODmT17Nj169NAC2gXZQTcjYW5KSgqgF0J+9NFH9O3bV3f/ikeLN954g7/++kubg4V9TJ48meHDh+d47BDHJyUl8csvv2TYQdf6PQADBw7k/fffB5Qw92HHZDLRq1cvbt++zebNm/H29s7TZy7s8MyZM4wcOVIr3CFs3GKx8NprrzF69GhtL27r/ZB9n5FIsJD9ptHR0Wzfvp1ff/2VS5cucffuXd16V4ztcteoRo0asWbNGpycnNS4XIjY2geBfh4eOHAggwcPpmrVqkD25lFrO9+0aRNz5swhLi5OEyUIu5A7ALRp04bXXnuNpk2bZjomP0gHXfH+oUOH6oS5wgevhLnFA1nwktnYllsyiw3duXOHe/fuceTIEa5du0ZAQAAHDx4kNjY2w9iq6qD7cLN9+3bGjRunK0AgbPSdd97h5ZdfLtD7EfYVHh7OtGnT2LNnjy4+KY+7X375Jc8880yW58xOB11RsMHe3p7PPvuMF154IZ8+oUKhUOSe06dP06dPn3Qxofbt2/P111/rjo2IiMBisXDy5Elu3rzJpUuXOHPmDPHx8YSGhuqOlYvKWecziWuoIjDFh3///ZexY8cC6HzwJUqU4KuvvqJ169Y5Pufy5cvZtWuX1qlPnptlexG25ObmRtmyZenSpQs1atSgUaNGJCQkYDab+f333/H399dEGnInaLhfUH38+PH079/f5npZoVAoFIpHkaw66Ar/oOqgqyhoMuqga8vHWFQ66P7333+sXr2avXv3Amn7IYPBoOugqwS6CoVCoVAo8opi0Tk3s465ArGwGzt2rCbMzc8NR3Y76Ip/nz59mjfffFMJdB8i7OzstAo6J06c0BJk4H4QBLLuKpadDrrBwcEsXboUi8XCSy+9lC7ZwvpvWUDr4eGBwWDQdd2Jjo4mKiqKEydOcOvWLfbu3cvt27e1znpycpMQvYlgta3ETXE968/q4eFBvXr1cvfLVeQLwiGSlxteYXciuVeujOrp6al1+swPYa7cMffAgQPMnTuXy5cvExoayhNPPEGFChUyvXc3Nzd69uxJSkoK1apVU8LcQkaMa35+fsD9DjfDhw8H4Ny5c8TExLB3717CwsK4dOkS169fJzk5WetiAuiqP4uxUk6Cg/Tdde3s7EhOTiY5OZlt27aluye4HwSPjo7Gw8Mjn38LWaNss3hgq9OuWPuZzWZ8fHzw8fGhRo0a2nGJiYkkJiZy8eJF4uLiOHfuHDt27CAwMFDXDVqI0CEtKC6Lf2SxrtwdSHwf5GIbIskiNTWV69eva1UrBcLm/fz8cHJyok6dOrzyyiuq42MBU5DCXGFPohs0pNkd3C9m4OTk9ECfR9hv7dq1adiwISdPntQ+h7DXS5cuERISQvXq1ZUDvBgi1m/nzp3TxicxLpUuXVrr7pQdxLxuZ2fHG2+8wenTpwkLC9PN/9ndexUE1h10J0yYwL///gtA165dNWGusuv8Rxbm9u7dm5iYGBISEnBwcMhxpd7cdtAVyWbZFeZ+/PHHWnc9ZSOPHuKZV6xYEUjzO4o5eN++fQwZMsSm/yUzhK07OTnRrVs3wHYHXXGsoE+fPkqY+4ggig5evHgRgJEjR7Js2bI8FegK2/L19cXPz4///vtPmzNFks6ePXsYNWqUtkeRiwHm1GckOvFAmgDSaDRSpkwZBgwYwNNPP01ISAiLFi3i+vXr3Lx5U9dRUvxeGjZsqAlzrf1QioLDVkxIzK9iDhXibrFXzW5it7V99+rVC19fX1atWsWRI0dITEzU5nw5AX3fvn04ODgwfvz4TLua56aD7rhx41i+fDkVK1ZUwtxiSFRUFBcuXODw4cOcO3eOlJQUbfxo1qwZ1atXp3Xr1pQpUyZPOkdkFBsCKFWqFKVLl6ZLly7a8VeuXGHQoEFER0drfgW5iJvqoPtwc+3aNUDvX7Szs6NSpUqFEhsR9+Hj48MHH3zA8OHDuX79uubvFALa1NRUtmzZQpMmTfD09Mz0/rLqoCvWDwDPP/+8EuYqFAqbFIW5r1atWpQvX57w8HBtzw7345U3b96kXLly2mtly5YF0I1pZrOZe/fucerUKaKiojh27BhBQUHcvn2bwMBAjEajVhDZei8kXlNrzaKPn58fNWrU4OrVq7qiG4mJiRw5coSWLVtmuqcXzzUmJoagoCC++OILTbgA6cW0sh/TycmJGjVqMGHCBCpWrEilSpXSnf+tt94iLCyMVatW8d133+kaBVgsFmJjY9m5cycDBgwo9O+cQqFQKBRFhYetg64s0FUddIs3WXXQlf3nRaWDbtu2bbXXrTvomkwm7d6HDRumBLoKhUKhUCjyhCKfUZJZMjroF1OOjo6ULl2aiIgIypYtm+8bDSXQVSxatIjjx49rCTJiA3H8+HHNRrNK3MquQPfbb7/FYDDQq1evDKuhQ1rCm7yZkZN9PD098fT0pGbNmgCMGDECe3t7/P39CQwM5OLFixw9epS7d+9qwXrrTrpyQpB4Te6aK7pKODo6KjsvAojndPDgQfz8/ChVqlSebnjNZrOWrCbbhJubGwDJyckZCrkeVJhrNpvZtm0bkyZN0uw0ICCAoKCgLMW5cD9Jafjw4dr5lNOn8LAez+Sxo379+gA8/vjjAERHRxMdHU1ISAgHDx4kIiKCAwcOkJSUREJCgvZ+yFi8KILZ4jjr5y4XIrh9+zZ79+7lmWeeoUSJEnn6uRWPDsIGZVsXY47oJuni4qLZefv27bl165aWKCHPu48//jhXrlwhISGB+Ph43TwtEpTloiHiWvK/hbDNlmBXfE9iYmIwm83s3r0bgB49eihhbgFT0B1zrcW51oLwvOxkW7FiRdq3b8/Jkyd1CR5wX5z7yy+/8NZbbynHdzHEYDBw6dIldu7cqf1f8Mwzz1C7du0cnU+Mn15eXpQsWVI3bgHa3FxUbEUW6M6fP5/hw4dTvnx5lcxWgMjC3P79+xMTE4PBYODo0aPanFkQAl2xx7AW5sq+AiXMVQjEM2/bti3ff/+9LqkS7ne/y61vJScCXXHNU6dOkZSUhJOTk83uuoqHg5SUFIYMGaIVHYT7Y9aoUaNYunQp3t7eeeon8fLyokuXLvz333+YTCZdB7sTJ07w7bff8uqrrz6wMNf6u2J9vnLlylGuXDmWLFnChQsX+PXXX/nrr7+4c+eONi7LHXOVMLfwyI4wd8KECYwaNUr3vtzYrLCPNm3a4OXlxYYNG/j111+Ji4vT5nw5eWfXrl2UKFGCadOm4enpmeH8nVOBblBQECNHjqRkyZKcPXtWCXOLAeKZLFmyhMOHD3P48GHtZ/K+5eDBg1gsFho1akStWrUYN24cHh4eeepnkW3fOj6ZmppKjRo1WLt2LQMHDtQJdOXkOVmg++KLLyqB7kOAiN/88ccfgN5OUlNTdYKagn7OYoysVKmStn9OSEjQjbsWi4VDhw4RERFBmTJlsrTHzAS6Yu7o1q0bn376KaDGUIXiUcU6LiJjvX8ojHnQ2dkZNzc3QkNDtXuwt7cnOTmZqKgonTjXGrFmLVGihBZv6tSpEwDx8fEEBwcTHx/P0aNHiYiI4OLFi1y9epWkpCQSExMB6Nixo1prFgM8PT3x8fHhypUr2twp1nRLliyhRo0adOzYUTs+JSUFo9Goi1eeP3+eVatWcfz4cYKDg7XzyMV/xVpSzKNPPvkkTz/9NN26dcPV1VU7v2wr4nvj6+vL5MmTMRgMrFixQvMFCLves2cPf/zxh+4+FQqFQqF41MmOQNdsNhdrga7RaKRTp04q/6iYoQS6CoVCoVAoFJlTpLNKsivMFf9OSkriiy++ID4+nl69euHj45Pv96gEuo82cgVIWbhw/fp17t27p3NGZ0ZedNDNDOsK6jIODg7Y2dnRtGlTmjZtCtwXP969e5cTJ05w584dDhw4QGhoKNeuXSMiIkL7Dsr34ODgQFJSkkpeK4IYDAZCQkKYP38+L774In379sXd3T3PNrxJSUnExcVpYi5BVgL13CZZykLaVatWaUkU4vWkpCQ2btxIixYtcHBwyPIzyvenkowKBjH33bt3Dzs7O5tiL1tzoxhv3N3d8fDwoHr16rRr1w6AyMhI7t69y6FDhwgKCuLixYucP38ek8nEnTt3MhQvynYrJ53LthAeHs63336L0Wjk6aefVgJdRZ4h7Mx6frZYLDg6OtKgQQM2bdqUbmx6+umnmTdvHqGhoRw/fpzbt29z5MgRbt++TVhYGCaTKV2XaEBn87Lo0rrTrvi/WIvA/YIkTz/9dP78IhQ2KWhhLqAFP2JiYgB0tmAymahcubL2+oPMmeJe+/Xrx86dOzl16pT2MxG8+e2333jmmWe0juqK4oGwjfDwcOzs7DAajVrSj8ViwdfXF8h5F0aLxULp0qVp3Lgxly9fBtLsUuy5RAAS0hdzKejgiSzQXb16tXZfKpBTMBiNRkJCQujVqxdxcXE4ODhoid0nTpxg2bJlQN4KdMU+RQh0LRYL77//PoGBgapjriJHuLm5YTQaSU5O1q0VL126xJUrV6hevXqu5uDsCHTlYi0XL17kpZde4ocffsDV1VX5dx5CrIW5wgfj6OjI+fPn6dGjB3/++We2fZtZIezrhRdeYOvWrezatUsnSDQYDBw/fpyoqCg8PT11a4UHEebKyN8di8WCq6srLVq0oEWLFnTt2pUzZ86wcOFCateuzerVq5Vvs5DJjjB38uTJDB8+HHjwPYq8JqhTpw5Dhw7F1dWV9evXp5vzxVrvjz/+oHTp0nzwwQeZ+upz00EX0vbkSphbdImLi2PPnj1s2rSJffv2ac/C2ucIafuXs2fP4u/vz/Hjx+nWrRsdO3akSpUq+ZacJu5J2G316tVZt24dAwYMUB10HxHE2vLOnTtAWrFKUWz16aefzlG8MT/uz2w24+fnxxtvvMH8+fN1a2F7e3tiY2P55ptvmDNnTrYSd60FugaDQYvdd+nSRQlzFYpHHHlOS0lJITAwkNDQUK5cuYLFYqFkyZLUrl0bd3d3ateurR1bUHk94jrVq1fn4sWL2vycmppKfHw8x44do0GDBhm+39Y9inO6urpqBZEfe+wxAK3wcVRUlLYGUH6qoo94Nq+88goXLlwgKipKi/sJv+M777xDREQErVu3pm7durp4/I4dOzh9+jRr1qzRuiiLPQekxYbEuezs7PDx8aF79+6MHDkSJycnzTZtFSe2XjcOHTqUS5cusXfvXm3vI94fHBycr78rhUKhUCiKI7npoDtgwADWrl1LnTp1ipxAV86BPnfuHN9//z13796lX79+Kne+mPEwC3SHDx/Od999R4sWLZQvVKFQKBQKRa4ospklGSWjiyQM68WPqBYZHx/PihUrMBqN9OjRQwl0FflK/fr1cXZ21hzWcF/sevfuXW7cuEGdOnWyvVDP6w662cXa9kRScalSpTTRW+fOnbGzsyM0NJSQkBCCg4PZu3cvt2/f5vTp01gsFpKSkqhfv74S5hYxhH1cuXKFc+fOcffuXezs7HjppZfyVKArkuLk8yUlJQG2ReF50f3k3r17BAUFAeDk5ERSUpJ2zpCQEOzt7dUmuQgi5surV68yefJkRo0aRbt27bLVjdG60IBsR56ennh5eemEY7du3SI6OpqjR48SGRnJ/v37iYyMJDQ0FEizW+FwEQnBctco8dqlS5f4+uuvMRgMtG/fXgl0FfmKsOvSpUsDaF1FxRo4NDQUT09PPD09adiwIXB/zLWzsyMwMJArV65w48YNDh48SHx8PIGBgdy9e1c3VovryMFzuZO0nPC8aNEizeGvHJAFQ2EIc4VdREREEBoaqhPpCFto1qwZ8ODFLMS9lihRgjp16nDq1CldkhHArVu3OH/+PH5+fioJqBhy8eJFXWEMsW/x8vLK1fmEzTk5OWmvifM/8cQTgL6zs2wv1uuGgrInsZcT9yXWFYr8JyUlhRUrVhAXFwegFZ6QxQb5LdBdu3Ytd+7c4b///lPCXEWOqFOnDg0bNuTEiRPamGWxWEhOTiYsLIwaNWrk+tzZ7aArbDkgIID+/fsrge5DiC1hrkjgFWNVq1at8kyYC2lzuaOjIw0bNmTXrl3pujbv2bOHgwcP0rFjxzwX5mZ0P+J9QqT7zDPP4OPjg6Ojo7L5QsRWTAjQ7VOnTJmixWLyag6V1wKVK1emf//+lCpVim+//VbrYC5/X0wmE+vWrcPX15dRo0bp9lDW5ESgKxDfDyXMLZrcunWLr7/+mt27d3P9+nXNbyP20HIxNEjz7cB9W7527RorVqzgyJEjvPXWWzRq1CjffS5iPVytWrV0Al3r5DnVQffh4sqVK0RFRem61ojxtFq1aoDtOE5BIa7dunVr6tWrp/mJhHAc4OrVq8TExODt7Z0tW5QFukOHDiUhIYHExEQmT54MqDFUoXgUEWOHHJ8+cuQIO3futHm8i4sL//d//0eLFi3o0qVLnu6PMkPsa2rVqsW2bdt0a8LU1FSio6NzfU4Z8fuwt7fX4k01a9bUfq7GyaKNeDZVqlShXr167Nu3T5s7xV7WZDIxZ84cfH198fPzw9PTk5iYGCIiIjhy5IiuK7NcuFde9wmxwoABA2jXrp3mixdkdx/u4+ND48aN2bt3r84XALB161ZGjBiBvb29sjmFQqFQKCRyKtCNj4/XOugWRYGuWHeYTCbOnTtH27ZtVc58MSUrga5sn0VdoCu6UAsNwKBBg9i2bZvmL1MoFAqFQqHICUUyuyQrYa5wKlo7C0XyWHx8vJZoqQS6ivzCYrHg7u5O6dKlCQsL02wgJSWFlJQUTp8+TZ06dXK0kchJB10gzwS6MrbsUHyGcuXKUb58eVq1akXv3r0BCAgIICYmhqNHjzJ8+HAlzC1iCLs4duwYANeuXeOHH34AyJFAN7NjnJ2d8fLy4urVq7qKqgEBAfj7+9OwYcN0xRQeVJgL94OiTz31FOvXr9cJc+3s7Dh//jyBgYHUqFFDJQwVIcRYFRwczJAhQ7h16xafffYZDg4OPPHEE9kS6MrIz9Z6nrVYLJQtW5ayZctSp04dAF555RWMRiNnzpwhICCAS5cucfToURITE7l+/bpmf+J8soDHaDQSEBDAkiVLAJRA9yFGjFFFIeGwRo0auLi4aM5LwZ49e3jttdcoWbKkrouEnZ0dtWvXpnbt2gCMHDkSgMDAQKKjo7ly5Qpnzpzhzp07nDp1isTERGJjYwF9t3PRUQOUMLcwKAxhLqSNqYcOHSIkJER7TfwpW7asLjnnQRGd2UaPHs2///5LZGSkNn7b2dmRkpLC4sWLeeqppyhfvnyeXVeRv8hjEqSJvsUYIzr15HTvK4KKERER2nXMZjMlSpSgVq1ahIeHExISwp49e4iIiCAwMBB3d3fc3NyoWrUqrVu3pmrVqnh7exdogk9m3QIU+YeDgwMvvfQSiYmJbN++ncTERJ3PJj876MrJb1u3btXuRwlzFdnFwcFB26eDvmjKxYsXadOmzQP5ELPbQVcJdB9eTCZThsJckSDTq1cvZs6cCeRtdygxzo4YMYK///6bCxcu6Pz7JpOJ5cuX07x5c3x8fPJNmCsjv89isVCpUiXtnMrWCwdb+yDQz6H5Icy1ha+vL126dCEpKYmVK1cSGxtrsyjHypUrqVq1Ks8//3yma4nsCHSFX0p8N0RnSyXMLVrcvHmTadOmcfz4cRITE7V9s9wtV/YvQdozFa8bjUbi4uI4ePAg77zzDp988gnNmjUrdIFuRh10lUC3eBMVFZWu+LXRaMTFxaVAYujZpW7dunTt2pVTp05hMpl08aaLFy+yY8cOBg4cmG0blAW6r7/+eroYgkKheHQQ3/uEhASOHj3KunXr2L17t66IkHVxt8TERLZu3cr27dtZt24dU6ZMoV69enh6ehbIPXt4eABp/lXB8ePHdWvk3CLH1W2hxsmCQdim8LfkdI4qX748I0aMYP/+/do5RAcwsV8JDQ3VClfLiPWAXERGXsuWKFECX19fPvjgA5o0aaIVzszpPYq1R8+ePfnhhx+Ijo7WfE8Ad+/eVYUtFQqFQqHIgIdJoAtpxQi7dOnC+PHjC+y+FHnPw9RBF9By5J577jklzFUoFAqFQpFrilyGSWbCXNBXR2/RogWHDx/WORaVQFdRUBgMBipWrEiDBg0ICwvTAiMiYUYkjueUoiDQtUacV2yIzGazlnBSq1Yt4P73EVCJmkUMsbm8fPmyNr5cv349S4GuGI8SExNxcXHJdFNsMBioVKkSR44c0XV4SExMJDg4WFf1P6+EuYIWLVpQp04dAgICtGuLc8TExKhEoSKEeI7BwcH079+f27dv4+zszNWrV5kxYwbTpk3LlUDXGuvuujJOTk66jjhw37kSHx/P8ePHiY6O5tChQwQGBnLu3Dns7Ox046sS6D58FPWEQl9fX9zd3QkLCwPSui4mJCRoc7HAepyUhebVq1cHoHnz5loCcHh4OGazmTNnzhAYGMi1a9c4fvw4SUlJ2vUWLlyohLkFTGEJcwWBgYGsXr0aQEviEPfVpEmTPBXnCnGlt7c3L774IuvWrdOq/4s9XWxsLDt27GDo0KEqOaOYYf2sxH7m+vXrQM5FNGJ9IPZYYr3p5eXFwYMH+fbbb4mNjeXu3bs23//ll1/SpEkT2rZty6hRo3TiYTW2PZw0aNCAYcOGkZqayt9//13gAl05kU38X/ZnKWGuwhbCFlq1asWuXbvSdQs7efIkkPMCB9Yoge6ji62OudZdcvJLmAtp6z9nZ2eeeeYZAgICNDGbsPOwsDCio6PZvn17vgtzbd2fQPnoCwdb+yBZvA0FJ8wVlC1blm7dunH37l1++OEHEhISdOPk/2PvvMOjKr4//G7KJiE9BAglhBYIXRGUIoJKVQQRpYUgTVFBpCnWL6BYEJGiggiIdESqYkUEpDcJPRBqQggphDRSd7O/P/jNzb2bTUjZVOZ9Hh/DZvfe2ezZmTNnzuccuFuAZtu2bTRr1uyehYUK0kFXCnPLJuHh4YwdO5bz588D2UWtxM/iMxZ7WGEnwgc1F+maTCauXr3K//73P2bOnEnTpk2L/T0UVqDbs2dPKdAtp6SlpSn2KdZ8nU6Hq6trmRHnijE9//zz/P333xw4cCDHfBgWFqZ5bn4Q86qYN2V8SSK5/xC+061bt1i2bBn//PMPly9fVuZFk8mkJGJDdtxRrIVwtyD1lClT6Nu3L88++yz169cv9nE3b94cJycnMjIyMBqNypmPKBov57Lyj7qo9dy5cxk7diz16tUrsK/VoUMHPv30U95++22NQFf4nub+m7Bxdc6P2m81mUw0adKEHj168NRTT1GrVi2NSLygtqeOQ6nvLzo337lzh9u3b+Pj41Og60okEolEcr+QH4GuaChUlgW69vb2Ms5ZwagoAl3hP0vblEgkEolEUlTKlPeQVzI65KyOvmLFCkaOHAlkCwLVyWNCoLt582aioqJK5D2YC3T79++Pn5+f8v5EcNNcoHvz5k1NgF9S9hEHIFWqVAGyuyyKhJmDBw+SkZGhPK8gCIFuv379cHd3x2g0ag6QxSH0d999x4YNG5T7F+ZehUG8V0vIBM2yhU6nIzw8nKNHj2qSLoRAd8OGDYqIVRyEqEWU48ePZ9u2bcq1zKvzCpurVasWcPegUiSeZ2VlsWDBAiIiIpR5z5rCXAA3Nzc8PDyU10K2eCM3cYakdLC1teXKlSuKMNfe3p709HTs7OwIDw9nxowZ7N+/XynGUVxjADS2rtfr8fLyokuXLrzwwgt8+umnfPPNN7Rp00Y5tFTPr2qB7q5du6SdlWPEfJiamsrNmzdZvXo1X3/9NZMnT2by5MlMnz6dLVu28O+//2oSH0rKVxNzpoeHB5C99up0OiIjIxVxRm5YSs5Qz+FVq1alevXqdO3aldGjR/Ppp5+ydetWfvnlFxYvXszmzZvp3r278jqZdFn85FWkqCSEuWlpaezevZurV68C2baelZVFrVq1GDFihPJva2FjY4Ner+fRRx/VCNqESCM9PZ1//vlHmYslZR8xz1SuXBnIXnuFr7Zjxw6io6MLdQC4fft2QkNDNa+NjIzk008/5ebNm2RkZCh+qCiwodPpFN8wODiY+fPn8/rrr7Nz507S09Mt+reSikNAQACjRo2ia9euODk5KWur+iDwv//+Y8mSJezatQuwvOfJDV9fX4v7dkvX0Ol0Sjxr6tSpUpgrsYiwBX9/f0XYLbC1teX27dtWu5e5QHfIkCE0bNgQyPZDLQl0k5OTNfFZSfkhN2GumA+LW5grEPuUrl27KrYkbN/W1pZbt27x8ssv88knnwAlJ8yVlD6W9kGlLcwV1KxZk759+9KpUyf0er1mTyRiRrt27eL48ePK2PJCHWfq378/QUFBSgFMMQdLYW7ZJDw8nGHDhnH+/HklDg7Zn6lYOytXroy3tzcBAQFUrVoVJycnRWyemzDwypUrzJkzh0uXLpXIezEX6Hp6eipJnGJPLubY//77j5UrV/L7778DBfOZJaWL+JwSEhI0onC4e66ekpKiEaSVJurulQEBAUD2eZOYD//++29u3bpV4Dil+vkyximR3F8I3+nmzZt88MEHrFu3ThHmivVOLRQ0L2StXhNjY2NZu3YtCxcuJCQkpNjH7uLiohFMwt39UXx8fInlPkmKD7Uwd8CAAfz222/MnDmTq1evFsjXEs979tlnmTZtGoCmcKC4l1hLxc9qn0Cdp1atWjX69evHokWLGDZsmCLMLer6qdPp8Pb2xtvbW3Nen5mZSVpamsyTk0gkEkmFJysrS1MIo6BxFbV/0LVrV4YOHUqbNm0ANOeTBoNBI9AVMaySXmvNBbp+fn5kZmbSt29fGeesYJgLdPV6vRJjBO05zv79+1mxYkWhzuWLivpejz32GEOHDlWEugaDgT59+kjblEgkEolEUmTKjAdxr465uSVhvPHGG0qiuFqgK36WAl1JcSEC0I8//jh2dnaaA2KApKQkoOCVIwX5FeguXryYjRs3KvcqKYGupPwQGxurzJ9i/slNoCsEQOHh4fTv35/du3ezdu1a/vrrL+X1liqjdu/eHXd3d+U+Yn6Liorizz//VLpKACxdutQqwlwxn4rK7urOzgBOTk7W+QNKrEJmZibffPMNt27d0iQCi2TvkhLoAprDRnPs7e2pXr06s2bNyiHQFbYvBboVh9DQUCZPnszIkSP56KOP+Prrr/n111/Ztm0b69at4+233+bll1/m5ZdfZv78+cTHx5dY8reNjQ1ubm40btxYeUwdpBfdIwuCpUQ0tVjdwcEBV1dXOnbsqNxXCnNLBvVeKDAwMEeRInFwsXHjRqsLc8W6eerUKX744QeSk5MVOxf/b9SoEb6+vkB2xxFrBsk7d+5Mv379NOMRVdMPHz6sdLaUlH3EfNGyZUucnJzIzMxUHrOzsyMmJob169eTmppaoOumpqayZ88eUlNTlf2y8F2FqEc8LgoqCDsVyUiiiNDOnTuZP38+P/74IykpKTKxvILTqFEjRo4caVGgK/bPRRHo5rZvV3dPU8+Zn3/+OYMGDVLsVB7sScwxmUz4+fnh6empEf0YjUbOnDljVcGOWqDbu3dvAgMDNQLd3DroSoFu+cOSMFddqKCkhLkCk8lEQEAAw4YNU+ZkyLa72NhYQApz7ycsnQkJ/620hbmC+vXrM2TIEOrVqwdoC8DZ2dmRkZHBrFmziIiIyNfY8hLoqjtZSWFu2SEsLIzBgwcTERGhzKWAUkwLoE2bNowcOZK1a9eyceNGNm7cyI8//sjq1asJCgqiRYsWyrxmHqMRhWM2b97MnTt3SuQ95SbQFXsnKdAt/wg7E53q1J+bKARQluJ+Ig45aNAg3NzcFFG7+M5kZGSQnp5e2sOUSCTlBOE7Xb9+nVdeeYV//vmH5ORkTadQyD7rVsdv1MVSxbVsbW1JTk5mx44drFy5UunmXRyYTCY8PT2pUaOG5ozSYDCQkJDAuXPniu3ekuJHLcwdPHgwt2/fxtbWlv379zNjxowCCXTV6/jAgQOZM2cOXl5eSrEfsdaLfCZ1nFw8R6y/I0eOZMaMGXz88cdUqVIFvV6f4x5F4datWyQmJir3Uxe6kft7iUQikVQ0zPN31eudeh1UxwHvRX4EuoBGoDtkyBAuXLhQ6gLd1atXM3z4cCW+L+OcpYfa1sztrrAC8twEusLvFPspKFsC3SFDhtC0aVOefvppZs6cqYxV2qZEIpFIJJLCUiZaXN6rY676cFudhCE63k2cOBG424lRiHKNRmOODroAffv2VYRcxYm5QBdg/fr1XLt2TePAmQt058+fj4+Pj0wwKgeITbK3t7dG+Cj+HxERwcWLF2nSpEmh7yESfXU6HRs3blREQepEYtFB12Qy8fzzzyuPy02CRKDT6ahfvz6nT5/OMbcIgS7cnR+9vLwUYVB8fDw2Njb8999/AGRkZNCrV68cBzDigLBOnTqcOHFCk9yZnJzM5s2bady4Me3ateP7779n1qxZQNGTLIWNu7i4aAJX5t9HSdnA3t6eUaNGkZKSwj///AOgzGfmAt3333+f9u3bK1XUSgMfHx+++OILJk+ezJEjRzRJl+IgXAh04a6wrFKlSqU2XknBuHjxIrt27WLx4sUkJCQoj4vAoLrgi9FoZN++fezbt4/ff/+dCRMm0KpVK6pWrVoiY3V2dgbQJIVkZWVx9uxZoOhJ6XmJ1dW/lxQvNjY23Lhxg/79+5OQkKAEq9VBaG9v7xz2UFSE/YSHh/P+++8TFRWl7KVsbGwwGAy4uLjw+uuv4+npqbwuN7tQ+6gF9UUffPBBtm7dqkkGEe+zuIs2SKxLVlYWlStXplGjRgQHByu+ofAP//77b5o0acKjjz6KXq/PVxGAH3/8kfXr1wPZ/gNkH+pZOuAU9q0W6YqxnDt3jjt37pCWlkZQUJAs6lLBEQJduNuBOTU1VVP4Si3Qhbt+nZiD8rMOin07wMaNG0lISFDs1Hy+vnjxIkCpHIJLygc6nY5atWrRoEEDjhw5ksMWC1rcID/3M5lMODo60qdPH3Q6HatWreLChQuadd1coLt27VpcXFwUv1lSdsmtY67w+UpamAvaYh6Ojo6kpaUptqZe06Uw9/5AJKSbC3PFfgRgypQppSrMFbRq1YpXXnmF8ePHK/OfwWBQ5shbt26xbds2Xn755Vy7o6pR75369+8PwOrVqzl//jxGo5E+ffrIpKAygvrsUsyfoD27DAwMZODAgTRo0EDjQ1avXp3q1atTv3594uPjmT17Nj///DOgTQizsbEhJSWFv/76i2effZYGDRqUyHxnLtAVAhHxfVQXcxDnBDqdju7du8uYUTmiSpUqmuKTQphrNBqJj4/H09OzTBToE0J1V1dX3NzcSExMVMat0+mIjY3lypUr1KhRo1THKZFIyj7CdwoPD2fEiBGEh4drYkGiaBrc7dhduXJlnJycSEhIIDk5WSnKK8SN6iJrqampbN++nRo1avDiiy/i4uJi9fHrdDrc3d2pUaMGoaGhyuPCD7l165YyvtKeuyUFQ9jgtWvXGDRoEHFxcUpunNFo5NChQ8pZeZ06dQr8Gffs2ZMaNWrw+++/s337diIiIgA0BdbUeXg1a9akZ8+ePProo7Ru3Vp5TnH4oVevXiUqKkrjj9jZ2VGnTh18fHysei+JRCKRSEoa89id8CcPHjxIdHQ08fHx3Lx5E3d3dxwcHPD398fHxwc/Pz88PDxy5JLnhvrMqGvXrsrjR44cUdZvo9GodC5NSkoiMDCQ1atX07BhwxKPrYv4qbe3N1OmTAFknLOkUefeqIsUASQmJiodl+3s7NDr9Tg5ORVqj2Eu0A0KCiIjI0PxddUxxv379yuvK+i5fFFR3+uxxx6jatWqBAQEANI2JRKJRCKRFJ1Sz57Kq2Puvaqji42CnZ0dkyZNArQCXXVihBToSoqLgIAAmjZtSkhIiCZpLCkpiZs3bxZJnAt3E30HDRoEkKdAd/HixQBSoCvJwQMPPMArr7zCypUrOXToUK4CXWdnZ5o3b87o0aOJjY3F3t5esedjx47h4uJC586dcxwy6nQ6vLy8GDBgACdOnFC6l4nfhYaGMn/+fHbt2sXy5csB63Q/ycrKIj09ndDQUE3Su52dHdWqVaNu3bpF/ttJrEtAQAATJkzAaDSye/duTWCwLAp0q1WrZlGgK+ZXKdAtP6iDeHv27GH16tUcOnSI1NRUTVKlpcNpkbBha2vLtWvX+PDDD3nmmWd44YUXaNCgQbGPuXHjxkrCnPBtAc6fPw/kLqqVlD927twJoHQCMe/YfeHCBYYPH878+fOpXr16kfcKYs8UFxfH6NGjuXbtmkakIebljz/+GG9vb44ePcr58+dJSkpSuuw5OTnh4uJCgwYNcHR0xMvLC3d39xw+qBBH5uWbPvfcc2zcuDFHR7enn36aV199tdDvU1Ly2NjY4OLiQo8ePQgODtb4hgAhISEsXLiQlJQUxbcU9igEYGL9T09PZ+3atXz22WcAynNElz2DwYCDgwM1atSgdu3aSiJveno6wcHB6HQ60tPTFds230Nt3rwZb29vnnnmmVL1OSTFT14CXbXYoCgCXfW+XS3QhWzB+HfffUdKSgrvv/++cl+5lkvUCJuoWbOmsgcRRTNSUlL477//aNasmVUPqdUC3d69e2MymVi9erUU6FYADAaDRWFuaXXMNeeJJ57giSee4Ndff1XmS3XnHCnMrfiEh4fTp08fUlNTlSQdMScJm3jrrbcYPnw4ULqfv5h3e/TooZzhCD9X7J9MJhO7d+9m1KhR+R6nJYHuvHnzaNeunRTmlhHyU1R4zJgxvPLKK8qewtI67eDgQLVq1fj888/x8vLihx9+ALL9RHHNsLAwPvvsM5YsWVJi9l5Qga5OpyMtLY1nn322RMYnKTrirEcUOVV3Xzx9+jR169YtM+IuW1tbPD09adu2LRs2bACyi9SZTCYlwVkikUhyQ92VNDAwkJiYGCU2KNZvsS7379+fNm3aKMnYCQkJJCUlsWrVKk6ePMmZM2eUvbDaB0hMTGTdunU8+eSTBAQEWN1fE9dzdXUFsvdJIs5+6NAhXnjhBU3OlKR8oNPpSEhI4NVXXyUuLk5zRqnT6cjMzCy0QFc8r2XLljRu3JiRI0fy119/ERYWxvXr17lz5w62trb4+vpSo0YNGjduzIMPPmhRYG5NuxLfPVGETu1HGwwGPDw8rHYviUQikUhKC+ELhoSEcPr0adavX8+tW7eUQhm50ahRIwICAnjyySdp3bo1Xl5e97xXeRToqpFxzpJDvU/R6XSEhIQQGhrKrl27iI6O5sKFC5oCRm5ubjRp0oSqVavSp08f3N3d8fPzU653L9vJS6BrHmMsKwJdsRfMT7FNiUQikUgkkntRqplT9xLm5tYx11Jw29bWtsIIdMePH8/cuXPx8fGR1S7LASJp8syZM8pnJWwvLCwMKHrVUinQlRQWYXtdunRR/n348GGLAt1FixaRmJjInTt3lEQj0W3M09OTSZMmWTycUVeT6tChA/v27dNUPLWxseH48eMcP34csI4wV70hjouL0zxmMBioVq1avgJWkpLH39+fyZMnA5Rbga66Wr8U6JZ91Gvwtm3b+Oqrr7h+/brG9kDbCVTduUQkBIvnx8XFsWHDBmJiYnj55ZeVQJ21EeOpVasWoBUOC79WCiEqFgMGDCAjI4N169Zp9gpizbSxseHUqVO88cYbRS7mI2wnISGBoKAgLl++rBHmCpydnVm/fj0ffPABycnJObqTCvR6PTqdDj8/P/z8/PD19aVjx464u7vTpEkTTYd78Z1U+6nifQwePJhLly6RkpJCVlYWvXv35vPPPwdkQnp5QnzGvXv3Zs+ePezbt0/5/IQdnDp1iq+//pojR44watQofH19AZTiFwC7du3i33//Zc2aNUC2Dwl37aFOnTo0b96cIUOGULNmTby9vTXjOHXqFGfPnmXlypVKt1LI9k+zsrK4cuUKmzZtomXLltSvX18Kfio4uQl01fvqogh0fX19cxXoqhM5V61aBSAFuhKLCFvo3LkzW7ZsyeGTijiTtWOFsoNuxSO3jrllRZgr7OqZZ55h//79JCQkKInm4vcmk4kBAwYwffr0UhmjpHgxGo38/fffSkdw827zgvT0dOX3pfn5q32CHj16sH//fo4ePaopRKTT6fjvv//46aefGDhwYL6vbS7Q9fPz45FHHgHkPqi0yY8wd9KkSbz00kua1+W2Tot57O233yYlJYX169dr1llh5+fOneP48eM8+OCDJXZGqBborl69msDAwBwCXfHzsWPHaN++fbGPSWI9GjZsSPXq1YmJidGIwU0mE5cvXwbK3nzj7u4OZK8P4nuXlpZWmsOSSCRlHEv5R+bCXHd3dwIDA+ncuTMtWrTQvNbb25uqVavyzjvvcP78eb7//nt+//135cxcFP+zs7MjJiaG6dOns2zZMhwdHa36PsR8/OCDD/Lbb78p8XQRG7h9+zYgi7eWV9zd3enUqRNJSUnExMQAaM6eCyvQVf/e3t6eKlWqEBgYCKCs/yaTKUf8pjh9AHUcYseOHYrPK/IBjUYjTzzxRLGPQyKRSCSS4kCsXZmZmcTExPD999+ze/duwsPDleeofVHxGrEOZmRkEBoayvnz5/nnn3/w8vIiMDCQ7t273zOvPb8CXYPBUCYEupKSxbxL7qZNmwgODmbjxo0af0z8387OjszMTJKSkhRB+ZYtW3BwcGDYsGE8+OCDtGnTJl82cy+Brto+S1ugm9e/JRKJRCKRSApDqUW2RMLC1atXGTJkiOZwu6DCXIEQ6I4YMQJAkxhmLtDdvHkzUVFRxf9GySnQFQkW4v2oKxXb2dkRHBxMYGAg8fHx0ukr44gDkJYtWwLZByAiuH3kyBHAOs67EOj269cPDw8PpXOK+C6ZTCZFoCuqSQvbk9y/qAVmXbp0YejQoTz88MPAXTsV849OpyMyMlKpmKoucODt7c3y5ctp2LChRXsS9u3t7U3Hjh2Vx8RBoVqoq+5+UZTuJ+Kea9as4dKlS0oCnI2NDfb29nTr1g1A2n8ZRQh0O3XqBGg/e3OB7v79+8nMzCzN4SoC3TZt2mi+N+qOlkKgu2vXLlm9vwyhDtqtX7+ed999l2vXrik2J/wz9byk/tnW1lYTsBR+6J07d9i5cydr167l+vXrxfoePD09cXR01IjaDAYDly5dUrrnSso/IqFn6NChue4V1MV8xo0bx82bNzUC8/yiFuYKMaxamCvuZ2NjQ0JCAvv27SMxMRGTyYS9vb0SnLe3t8fGxkb5Lolu9tu3b+f7779n9OjRDBw4kKFDhzJx4kR+/vlngoODSUpKArQVUcUa0Lx5cxwdHTEYDDz77LNSmFtOEXOVl5cXHTt2VESzYo4VNnb16lV+/PFH+vXrx5gxY/j8889ZsGABM2bMICgoiEmTJuUQ5oo5um3btsycOZP//e9/tGzZksqVKwNovg/NmzdnwIABrFu3jj59+uDp6Qlk+4fCpo4ePap0rZKHkBUfIdDt2rUrTk5Oyjwr1n21QHfXrl2Adk91L4RAt1+/fri7uyv7dtHVWcSoVq1axYwZMwAKNZdLKj7m85qYs4QvWxx7XfMOukOGDKFhw4aAdi02F+gmJydrughJSp+yLsyFbJtu1aoV1atXV/Zm6jiVs7Mz48ePV96TXKcrFra2tnTr1o033niDSpUqaYoEqvfh8+bN44svvsj3WlycCD+3Xr16inhWrPPqefnChQsFvrY6ji+FuWUDS0WFQSvMnTJliiLMzY+Nqv2+Dz/8kE6dOmn2SaIL861btzh27BhQsolhYnz16tVjzZo1eHp6Kl1W1B1+e/XqxZgxY0psXJKi4+rqqsRbAM05zS+//EJMTEyZmW/EXFinTh0AxT8Q9ifFuRKJJDdyawygFuZWrlyZmTNnMmLECEWYqz7rEzkXer2e5s2bM23aNPr27Qugyc0Q++KrV69y4sQJ5f7WpnLlykqhLIGNjQ0RERGKQFdSvhB2MmXKFPr376+JWQu/z1yge/Xq1QLFJ8U1QGvftra2GmGu+nfFhRj3d999x6lTp5R9vU6nw2AwYDKZaNasWbGPQyKRSCQSayN8z9u3b7N+/XomTZrEqlWrlPwhdc66yWTCYDBgMBgU3040rxL/paamcu3aNX7//Xf0en2+xqD2D7p27crQoUNp06aNcl8RazXvoHvhwgV5NlmBEX7lnTt3OHDgAK+99hrvvvsu69evV/YxIqatzkETMXmh3UhLSyMuLo4vv/ySF198USlunR/MBbp6vV6xQzFG4Rfu37+fFStWFOpcXiKRSCQSiaSsUWrRLZ1OR3x8PMOHDycmJgZHR0cyMzOVRKGCCnMFlgS6YqNhLtDdtGlTmRLoikRQuCv29PDwKJGxSQqPsEdxeGOeiBgfH2/V+xVEoLtx40ZljFKgeH+TH4GuGnVlN29vb5YsWaIIc3Obg8X1hw0bRpcuXTSiB/WGWS16e+GFFwolzBXcuHGDo0ePKtcVXXNtbW1p3bq1cn9J2cSSQNc82VsKdCVFQS3MXb16Nf/73//IyMjQiAlFENzBwYGaNWvSsWNHOnfuTLNmzfD09FQOhtXzn5hvUlNT+eOPP/jzzz+VDiLFgb+/P7Vq1dIcpIskkeTk5GK5p6R4Ebai/n9+i/kUVaCbH2GumNfMi2uI11s6PBLBevE8sZ/LyMjg6NGj/Pbbb0yZMoWBAwcycOBAxowZw/z58zl06BAhISHK+OrUqcOQIUPo1asXn332mebvIylfCPsJCgqiR48emjlUIITeiYmJ7Nixg++//5758+ezatUqjhw5onRRU8/ZWVlZPPHEEyxcuJCWLVvi6uqqXEs8V43RaMTFxYXp06czYMAApcqwWqQEsGHDBrZv316MfxFJWSI3ga6Yh4tLoAvaInJSoCvJi5YtW9KsWTNlfhN+w9mzZ4mPjy+2tfFeAl0xHinQLbsYDAaLwlwhqioLwlxBVlYWbm5uvPbaaxrBkODOnTssXryYtLQ0JWlDUrGoWbMmffv2ZeTIkYpAVxRlEQWMAJYsWcLcuXPLRIxb+AMjR45UukyAVkD5yy+/cOXKlQJf23xul/ug0sOSMNdSUeHhw4cD2jXyXqj9vsGDB+Pt7a2JoQu73717N3fu3Clxu1d30FULdIWf3Lt3b7744gtAFsYsL2RlZeHk5ESnTp0UOxaicFtbWxISEpROJWVhTyK+S7nNic7OziU+JolEUvbJTZgrzo1FMeqFCxfSuXNnXFxclNfm1THJ3d2dsWPH0qFDB+U+6lj57du32bt3L1A8vlv9+vVxcnLCzs5OU1ghMjKyxPKcJNZFnbvz+uuvM3jw4GIT6IrrqP9v6XfFTUhICAcOHABy+o99+vThgQceKJFxSCQSiURiLYTvGRkZybvvvsuCBQs4fvy4Rtxo3jBF3XREHQcS+3CDwYCXlxe9evVSzr/zQ34EuoAU6N4nCNuMjo5m3rx5fPzxx/zzzz8a2xN5PsIvEzEi9c/i9yJO6evry4MPPligseQl0BX3kAJdiUQikUgkFY1SPd23s7OjW7duODs7k5aWhp2dnSaRq6DCXEFuHXTNBbpLly4tMx10IVu01rt3b7788kvlMUnZxmQy4eXlhbu7O6A9eDl58iSXL1+2apJCfgW63333neygK1EwF+gGBgYqB4kiOVP9PKPRiLOzM/PmzSMgIACDwZDnHKyuXC46mJl3JRPPA/Dz8+Ojjz4CID09vVCJoBs3bmTnzp2ANqnppZdeUiqsSso2FUWgq7Z1KdAtG6iFucuXL1fmG5HAIBLUa9SoweOPP86qVav48ccfWbx4Md9++y1r1qzhl19+4fXXX1fE/urKkurktZUrVxIVFVUsa624noODgybhV6fTkZGRwcmTJzXPk5R9xJ7m+vXrfP3119y6dUvjxxWnQDcvYS5okzTEXKx+TC1+FP6CeWKH+hBJ3Y1SiOIBrl69yo4dO1iwYAEjR45kyJAhjBgxggkTJvD999/z6KOPahJ9ZUJ6+UQtdHz77bd56qmnFBsQn6vwOUVysPi/OtlM7cNmZWXx6KOPMm/ePEVQeS9EArmjoyOvvfYaPXv2xM7OLsdYdDqdIhSXe/D7g7wEumI+Lq4OulKgW76x9BmpD7CthU6nw8PDQ3MgbmdnR0ZGBnfu3LHafXK7970EuuoYa2hoKIMHD1YEutKOS4/MzEyCgoI0wlx14YGyJMyF7HhRgwYNqF27NoBmjQY4fvy4EguQ+56KiY+PD/369bMo0FWvmd99912ZEOgKf8HR0ZF27doBKLECkbBkMBhISkoq1XFKCk9+OuYW9uxSIOa6Bx54AFdX1xyd+AAiIiKUInMljblA18vLi4yMDPr27cvnn38OyP16eUJ8Ts2bN1fmVnUBmKSkJH7//Xcgez4rTcTYbt26BWSfXwn/1MfHpzSHJ5FIyiD5FeYuW7aMFi1aFHie8/Hx4YknnsDBwUHTdVSs5ydPntQktFsTX19f3N3dNYWMROxUds4tv5S0QLc0UJ8Vbdy4kcOHDwPZZ03i96IJgkQikUgk5QXhe4aHh/Pqq6+yc+dObt26pRHgqs+41QWo1aJHtVhS+Jj16tXjiSee0Pic+SE/Al1xPikEuoMHD+b8+fPybLICIWwzIiKCCRMmsHbtWi5evJjDNtXxPPXPIiZkfmZka2vLo48+ir+/f4HHdK8OuuozKinQlUgkEolEUhEo1ZNTFxcXxowZQ1BQEA4ODkoHJrDO4XZ+BLpLliwpdYFunTp1lK5Tffr00Rxul1S1Qknh0el01K9fn8aNGwPZFYRE59HExESrJykIge5zzz2nSfSVHXQleaEWEXbv3p0uXbpgb2+fa8VUV1dXQkJCiIuLU+bPvBCb5SpVqvDaa69Rv379HB10xTWuXbvG5MmTMZlMODg43HPs5vdevnw533zzDYCmqEObNm3o2LHjPa8nKTvkJtBVr9dlXaCrrmooBbqlj7kwV3ToVnffMZlMPPzww7z55pvMnDmT5s2bKwff4vXe3t6MHj2aqVOn8vTTTwMoyRyAknR78+ZNZsyYUSwJk2IszZs3B7QJvwDh4eGA7KZTXlAnCT333HMsWrSIJUuWEBcXpwmEF4dA914dc839SHXio3r86t+JQxxxaHSv965O/hQdU41GIykpKezfv5/ff/+dy5cv06RJE4AcBwOS8ofo0GdnZ8dnn33G4MGDFeGNeFwt9hY2IWxNIOa9Ro0a8c4772Bvb1+gGIH4Xun1eiZMmMBDDz2kKQgCd210/fr13Lx5U+7B7yNyE+iKOU4KdCXmiENig8HAli1buHr1qqaLrbqrbFEwmUzY29vTqVMnTYELIZ44ePCg8rzi4l4CXfOiShcuXKBfv34kJyeXqtjzfiYzMzNHx1yxZymOjrnCzhMSEoo89jp16tCnTx8AJb4jbOz48eOsWLFC85ik4pGbQNd8zSwrAl2xB+rWrRuAZq9jMplITU1l3759yr8l5QdLoh7Qxp+LenYpMBqNuLu7061bN01BLLjrE6akpFhlji0saoHu8uXLGThwoBJjk8Lc8sljjz3GAw88oBHFiJ937drF999/D5RcF73cEPNmWloagLKHErECR0fH0hyeRCIpYxREmOvv71+o/BtbW1ueeeYZfHx8NCJZsSe6fPkyt2/ftvr8KQpniy6/Ys42Go2kpaVx/PhxQPqb5ZWKLNBVn9MuW7aMVatWASj7OnH21LlzZwIDA5XHJBKJRCIp6wjf89KlSwwePJiQkBBNAWqj0aj4i02bNqVz586MHz+ejz76iA8++IAxY8bw4osvUq9ePSpXrqz4k5mZmej1et58802qV69eqHXxXgJdEccRwsjk5GQCAwOlQLeCIGwzLCyMESNGcOzYMSVmbZ4DZDQa8fb2xtvbG39/f2rUqIG7u7viq4n4i9BzeHp6MnjwYNzc3Ao1ttwEuur7SYGuRCKRSCSSikLByuwUA25ubowYMQIbGxu+/fZbsrKyrHa4bWtry8SJEwH4/vvvlUQOg8GQQ6AL0LdvX6pVq2aV95UX5kn3Op2Ob775hs6dOzNz5kxAHm6XJ0Tw2MvLC8jeFIjP+fjx4zzwwANW70ZRq1YtBg8eDNztIJqQkKAkEIt7iw66AP369VMel7Z1/yI2rJGRkXzzzTdkZmYq9qDungtw8+ZNli1bRlpaGs8//zzu7u6aw5Tc0Ol0tG7dmiFDhrB06VKuX7+uJK2pEz62bdvG7du3mTBhAnXq1MHFxUWxT3Xiuvq7ExUVxfr16zXCXHFA5ejoSNeuXWWF1XKIEOgC7N69W/nMReEKtUD3/fffp3379koVtdJACHQnT57MkSNHcnTfUwt009LS6NWrF3q9vtTGez+RX2Fut27deOedd6hWrZoyN4nPUafTYW9vrwjF/P39mT59OnZ2dmzdujWHgNzGxoarV69y8+ZNateuna95Mr+IMQlxpgiIi3kyOjo6x/uWlE3USUKBgYEkJiYC8Msvv2AymRg9ejSenp4aP07sFQDWr1/PtWvXNH6cuUB3/vz5+Pj45PA579UxV51k7OLiQs2aNXn88cepW7cuDg4OSnD8ypUrxMXFERERwblz50hNTSU2NlbzPsW1cuuap+7+p/4uAfTp00cRp0mbLn2s9RmIwzw7Ozvefvtt2rRpw86dO9m0aZNyACTIysrC3t6eNm3acPnyZWJiYjTd/h5//HFq1qwJFFycI+ZNBwcH3n33XUaOHElsbKymw29mZiZJSUmyC899hhDoAmzfvp3U1FTNPGw0GhWBLkDnzp1zdA/PCyHQhZz7dnWMSiSpvf/++8p9pcCxbCE+E7UAskqVKuj1elq0aEHjxo2pV68erVu3xt7eHmdnZ83r1Wv8veYwYVt+fn6KwFKN8AGLe600F+iaTCZWr17NhQsXNF3Q1UW4NmzYoPgvkpLDYDBYFOaK+cTawlxx7eDgYEaOHMnUqVPp3bt3oa4l5tMePXrw22+/cebMGc09jEYje/bs4dlnn1X8AEnFRAh0AZYuXUpKSoqyr1CvmSLWPX78+FKNcRuNRvz8/KhRowaRkZHKnCnmRNHxUe5ryg+WOuaKwlLWFuZCdszH1dVV0zFXXDs+Pp7IyEj8/PxKzY6EqMnf359p06YpY5PnS+UTFxcX/P39CQ4O1ghehU+3c+dOHn74YZo1a1aq4xQFMYODg5XHxJlS06ZNCQgIKL3BSSSSMkVhhLmFWcOMRiNubm60adOGa9euaRLExTl2enq6td8etra22NnZ0bJlS6XjlXreFkU8pL9ZflHHiV5//XUA1qxZw+3btzWftblA9/3336dOnTpl9hxFjGn16tV88cUXAJozI5PJhJ+fH0FBQcq/y+L7kEgkEolEjVr8OHToUG7duqWsb8L3dHJy4oEHHuCpp56ie/fuuLq6WlzjRo0aRUpKCitXruTcuXMcO3aMl19+mZYtWxYp7qI+v+zatavy+JEjRzR5eKKDrhDorl69mkaNGsmzyXKKWjSem23a2dnh4OBAv379aNiwIR07dsTW1hZ3d3eSk5NJSUnh6tWr7N+/n9OnT3PkyBGlaNr//vc/6tevXySfzVygGxQUREZGhrJ/E2M1Go3s379feV1Bz+UlEolEIpFISptSF+fCXYHusGHDSElJoWbNmkoQzhqHvHZ2dkyaNAkouwLdF198kfr16ytdA+XhdvlCHAp36tSJv/76SzmMEcHlCxcuABTL5lUKdCUFxdbWlrCwMAYPHkxsbKySaKQW6KqFMtevX2ft2rUABRLoOjs707NnT1JSUli9ejU3btxQEj7EPWxtbdm3bx83b96kQ4cOPP/88/j7+yvjFIgu1OvXr2f//v3s2LEDyBbbiXG/8MILDB06VPm33JSXL4RAV1TqVwdeyotAVy3y1Ol0hIaGcuXKFSnMLSHyK8x95plnmDFjhqZrt6X5Qv2Yi4sLL7/8MtevX+fYsWNKwq1Ihrh69Sr//POPUnTF2u+pVq1aQLbITQg0zp49S3R0NFWrVrXaPSXWx1KSkBC8xsbG8vvvv2MwGHjttdeUYi/WEujeq2OuOsm4e/fu9OzZk8cee4xKlSrl+Z6Sk5PJyMjg0KFDREVFsX//fsLDw7l16xaJiYmajmfqSpdqcZGYM7Oysujdu7csUlRGiI6Oxmg0Ur16dat9Fur9SdeuXenatSvPPfccERERHDx4EFtbWxwcHKhVqxYPP/wwWVlZLFiwgJiYGOCu4MjR0ZFnnnmmSB1yhB1Wq1aNhg0bEhsbq9ioyWQiPj6eEydOKP6o5P5BCnQl98KSMNfOzo7bt29jMBiIiIjg999/B8Db2xtPT086duxItWrV6NChA+7u7lSuXBkgxxqelx01atQIX19fbty4oXnekSNHFBGPqCxdXKgFun369EGn07Fq1SpFoCvs18vLixdeeIEnn3yyWMcjyYmljrnqDuDFIcwV/ufIkSO5c+cOU6dORa/X06NHjwJfT9h1jRo1aNq0KWfOnMmx7wkODubkyZNSnHsfkJtA12AwlDmBrq2tLd7e3tSrV48bN24ojwubDg8PB7KLJUnKNrl1zBX7arCuMBey52MnJyelw4rBYFD26ra2tnh6epZ6jNvcfuV+vXwifMnXXnuNQ4cOERYWlqNj85EjR/jzzz9p1KhRqcbdxVwv5lZRnDUrKwsvLy9pgxKJBCg5YS5kxxRr164NoDkfsrW1Ra/XF4u/J+ZoEU8Q+yPx+NmzZ0lPT1f8Bkn5pKIIdM3H8cMPP/DZZ58BWmEugJOTE506dVIKrpeF8UskEolEkhdiTb5x4wajR4+26Ht6enoyduxY2rZtS/369XO8VuxtdTodVapUAeC9994jNjaWkydPKvnqRd3z5kegazQac3TQlQLd8omwr+vXrzNq1CiLtunm5kafPn144oknaNeuXY5rODg4ULlyZXx9fenYsSOJiYmcOXOGZcuWUb9+fR588EGg6D5bXgLdzMxMzbm8FOhKJBKJRCIpr5SZrAA3NzcmTpyoCFismZRta2tb5gW6Uphb/qlSpYqSqCE20zY2NkRERADFJxYsiEDXZDLx/PPPS4HufcydO3cYPnw4sbGxijBIzIdis2seaCmsQNfDw4PnnnsOGxsb1q5dS1hYmKYiu/iOXLp0iUuXLrFhwwYeffRR6tWrh4+PD7a2tqSnp3P69GkuXLhASEiIcvAoEk7h7rz57LPP8u677wJFTzSVlB7+/v7Kel2eBbqiS1GfPn2U9yMpXvIrzO3duzeff/55jtfkBz8/P9q2bcuxY8cUuxT3MBgMXL9+3crvKju42bRpU5ydnZXKhKLIgQhQSsouuSUJiQ48tra2REVF8eOPP9KtWzcefvhh5bVFFeimp6fj4OCQL2HukCFDeOutt7C3t9d0rVd/T8TPRqMRFxcXAHr27AnAsGHDyMzMJDQ0lJCQEK5cucK+ffu4c+cO165d0yReqLveG41GzfdS+qely7Vr13jxxRepWbMmn3/+OTVr1rTaZ6IuBKPT6WjdujWtW7emT58+OZ77zz//sGfPHk0F34ceeoh69epZxc/z8PCgS5cu7N+/X9PlAiA1NbVI15aUX0pCoJvbvl0KdMs2uQlzhX8p9rXCVmJjY4mNjSU0NBS4G+90dHSkefPmNGjQgAYNGtCqVSucnZ3x8PDQ2I+4nvh/tWrV8PPzIzw8XNOZJyIigoyMDE2xmeIkrw66BoOBypUr89xzzzFgwABq1KhRImOS3MWSXQrRdHF1zBV+59ChQ0lLS8PJyYnU1FSl2Fb37t0Lfd1XXnmFvXv3cuPGDeW7IebHBQsW0LJlS2lj9wF5CXRFbKgsCHSF3bq5uWkeF3O17GRWfijpjrkCYRsnTpxQYlficYPBgF6vv2fhLMn9g6X4TEEQz3d1deWxxx5j7dq1iq2pY0SLFy8mICCAp59+ulSSHsU9//zzT65evarsmXQ6HZUqVeL555/XPE8ikdyflKQwF3IWWxF7ZJPJhMFgwMbGpkgFBXNDzHVNmjQBsouGCJ8hIiICg8FQYrEBSfFRlgS6cXFx2NnZKfuc/Hx/1LGG69evs379emW/phbmChsOCAhgxIgRuLq6WmXMEolEIpEUJyI3Jy4ujg8++IArV64oe2i17zlv3jweeughzevE+RHkFN2K31epUsXqRU+lQPf+QNhmVFQU48aNIzIyUrFNOzs7MjMzqVy5Mh9++CGtWrXC09MTyN2/E4+7urrSrl07GjdurBRKsxayg65EIpFIJJKKTpkR5wKaznLWTqjITaCrFvyUlkA3r39Lyg8tWrSgbt26hIeHKwlwWVlZnDlzhvDwcHx9fYvt3vkV6C5evBidTic76N7HODs7M2LECObOnUtSUpKScOTt7c1LL73E7t272b9/v9UEup6enjz33HO4urqyYsUKLly4oHQVVScc2drakpKSwvbt2zUJyWrE60RwSzznmWeeUSqvygBR+UcIdE0mE7t37y53Al2REC27QJYchRHmFvQzEUlqAwcOZN26ddy6dUuZg8Sh8rlz5xQxpLXfn62treK3igIgOp2O27dvc+rUKXx8fKx6T4l1yCtJCO76/eLn8ePHa4S5gsIKdGfPno2vry9xcXEEBQVphLmAJsl4+PDhTJkyRXNfsZaq13nxs6V1VhT5aNKkiZIs9Morr5CZmcmRI0eIjo7mn3/+4ebNm8rYs7Ky6NWrlxTmlhGuXLlCYGAgcXFxJCYm8tFHH/H+++9Tq1Ytq3425r6j2ncTSfCbNm3S7NdNJhM1a9ZU/MCiINYMcfgk/E0bGxuMRqPyvZDcnxS3QDevfbsU6JZNhB9mMBgYNmxYDgGk+PyFv2nuq2VlZZGSkkJiYiI7duxgx44dALi7u+Pq6kqHDh2oXr06Xbt2xd3dHW9vb0A7V7Zu3Zq9e/cqtiDil9evX9dUXy9uLHXQXbp0KdHR0fTt25dBgwZJ0WQJYzAYcu2YW1LCXHt7e9LS0pT564033uCLL76gV69eBbq2SDT28PCgTZs2bN26VfnuCf81JiaGs2fPUqNGDTkv3geUhw66wo8UnS6EPyked3Z2BizvnyRlh7wKaRWnMFckzwFERkYqj0G2LdWtWxc3NzeZdHYfYi7CAcvxmcLg4uJC37592bRpU65z66RJk/Dy8qJdu3Ylbn9q0Tpk/y2MRiP29vbUqVNH8zyJRHL/UdLCXMjuIi8KtIo1W+y9qlWrhl6vt/qcKa5Vp04d5V7qIkaJiYnExcUpfqekfFMWBLo3b95k6dKlpKen07VrVzp27JhnTpG6gzTA1q1b+fvvv9m+fTtgWZhbs2ZNPv30U3muKZFIJJJyg06nIy0tjfXr13P69GkgO9ZuMBioUqUKK1asoG7dujled6/rFidSoFvx0el0JCUl8dVXX3Hu3DklfiIKDlepUoXvvvuOxo0ba16X2/5IPC5s08PDo1jGLQW6EolEIpFIKjJlSpxb3Nja2jJx4kSgbAl0JRUDFxcXqlatypUrV5SNgK2tLba2tty5c6fY71+QDrqAFOjeh4jNaWBgII6Ojnz22WckJSXh7e3NihUrqFevHtWrV8dgMHD48GGrCXTd3d3p1asXderUYe7cuRw9elQ5QBI2qk5iFslJouqwOuFZnRjl5ORE3759+eCDD4CclYsl5Rd/f38mT54MUK4Eum+++SaHDx+mT58+UphbQpSEMBeyu5Z4eHjg6+uriHPFGCBbVGZtTCYTVapUoWHDhhw5ciRHwq9I4pSULe4lzC1Iom9hBLpvvfUW06dPZ/LkyXl2zB0xYgRvvfVWrvfOL2L9Va/bIilIHPYMGDAAGxsbgoODuXz5Mjdv3mTs2LFFvrek6GRmZjJnzhzi4uKwt7cnJSWF/fv3K+ustQW6atS+pr29PRkZGYSFhQEoSXVGo1Gpol/Ug0AxT1evXl35TqoLLZgXh5Hcf0iBrkSN6PLep08fLl26BGTvO9WxFvOOt+ad78y76yYkJJCQkMCPP/4I3I1ROjg48Oijj1K7dm06dOhA7dq18fDw4IknnmDu3LnK2m0wGIiPj+fcuXMlKs4V70fdQVev1xMfH0+XLl2kMLeEya2Tc0kLc8UeSD3/iTW1oIiOeM8++yxbt25VOlCJGFF8fDzLly+nS5cucj68TyjrHXTFnHjt2jUAzdyv9gvkGl52uXbtGoGBgZr9uvjcilOYC9n7kp9++okjR45oHhfzaJs2bYotCU5SNjHvqpOQkEBYWBhRUVGcP38eR0dH9Ho9Li4utGrVChcXF6W4C+TPRk0mE02bNuWdd97hgw8+UPbd5vuR9957jy+//JIHHnigON+yRfbt28eaNWuAbLE6wKBBgxRxrkQiuT8pDWGuwGQycePGDc3eR/h/Tz75ZLF1r83KysLBwQFHR0fu3LmjKRqbnJzMqVOnirVAvKRkKU2BbkpKCjt37mTTpk3cuXOH48ePs2fPHsaOHav4IObfKZ1OR2xsLJGRkXzzzTcEBwcTHx8PWBbmenh48N1338n1XCKRSCTlBhHXu3z5Mn/99RcJCQmaom6VK1fm22+/pW7dumUyBigFuhUXkVO7Y8cODhw4oCkgJPZFy5cvp169emVSzJqXQDczM1MKdCUSiUQikZRb7jsVk52dXZnsoCspfsyTJa2J2BC0adOGQ4cOaZLhEhMTOXLkCAEBAcW+MSiIQNdkMvH8889Lge59hEgStrGxoV+/fmRkZLB06VIWLFhAvXr1AOjWrZtiC9YU6Do6OtK6dWu+//57pk6dyr///sutW7eUeVcczoiDTPNkTpGUIhKjWrVqRc+ePQkKClKeL4W5FQtLAl0xX5VVge7MmTPZunUrr7zyCiDFZsVNSQlzBWKOqV27NsHBwUqwU6z5jo6OOcZlDcR4RTceMT+K78PFixeVx2VgvGyQW5JQZmYmoO1am99E34IKdI8fP07//v2VTmaWOuaqhbnWsh9LHV3Uv7OxsaFVq1a0atVKeVzOlaWPTqdTkr5FJ8iMjIwSE+iquX79OpGRkRq7BZRiR9YSz4rvgbmtOjk5WeX6koJjyb5Ka36QAl2JmvT0dLp06UL37t3Zs2cP0dHR3Lp1C0DxN9UCQrU4V2DeXRe0lalFd93NmzcDd33bSpUq8eijj1KlShWqV6/OzZs3Fd/TZDIRGxtbQn8BLWqBbq9evcjIyKBSpUqlMpb7ldyEueoiPsUhzD116pRFYa6owg7w+eef07t37yK9v7Zt29K3b1/l+yCwtbUlODiYLVu28OyzzxbpHpLyQ24CXaPRWOoddMV9RPK5uutpVlYWjRo1AmR3x7LKjRs3CAwMJDY2Fr1eT0ZGBpC9zgG88MILyv5bJClak0uXLvHHH38A2Z33RMEDHx8funTpAsg98/2C+JyTkpK4ePEi27Zt4/jx44SEhGjORQSVK1emUqVKBAYG0rRpU9q0aZMvOxFz0uOPP85zzz3Hpk2blLg7oPx848YNpk+fzvTp02nRooX133AuREVF8euvvyp+rxhz5cqVeeihh0psHBKJpOxRmsJcuHtOuXfvXiA7zi38BlE4qzjyQGxsbKhduzb+/v4EBwcrj4v3HBcXZ9X7SYpOXraXHxspaYGueP6hQ4f45ptvFBF4aGgooaGh7N+/n+bNm9O9e3c8PDyoXr066enpnDx5kps3b7Jlyxbi4+OJjY1V3rfwbSG7cJ2Pjw9Lly4t8UJzEolEIpEUBbEvXb58OWfPntUIc93c3JgxYwZNmzbV7GHLGlKgW/EQPqHBYGDz5s1ERERobNPT05O5c+dSr169Mh1XlB10JRKJRCKRVETuSyVTbh101VXXhUDXZDLx3HPPSYFuOUY46pbEAuYB7MIiNqEtW7YEyHFQLpImS2JDkF+B7uLFi7GxseG5554rs5swifVRH+gMGjSIp59+Gjc3NyV52MbGRkn8AesKdLOystDr9Xz66af8+eefHDhwgHXr1inJo2JzbWNjo3wv1YeqNjY2ODo68uqrr9K+fXuaN28OSEFaRaZevXpMmjQJBwcH/vrrLyU5TiS1lzWBbvXq1aUwt4QoaWEuoAn8qRHzp4eHB3q9vtDXzw3xXkX1c3UXaYDTp08ryfiS0icvYa46IA4F78BTEIGuTqcjPT1d6bqTV8fcklpHxT3MfQZpu6WPnZ0djz/+OJs3b9Z0/CoNgW5GRgZpaWmKrYrxiESzohZjEfZ38uRJ5XspDkwdHR0V/1JSsgi7ioyMJDIykpo1a1KtWjWLtlZSc1ZpCnTVBYxWrVpFRkYGH374odzzlBKVKlViwoQJALz88ssYjUZOnz7NhQsXuHTpEseOHSM9PZ2wsDBNAQGx7qrFk2rBjyj0ItZqtZ+QnJxMfHw8GzZs0Ah9xeuzsrI4ePAggwcPLhb/814IG7ezs5NFskoYg8GQqzBX/FxSHXPhrg2Inz/77DNFmFsUf0Gn0/Hggw8q4ly13RuNRo4cOSLFufcZZbmD7u7duzlx4oRm7Rd+bN26dQG53ymrpKamKkmHGRkZmnlUCGTPnDnDnj176NixI/b29lZN+DIajezcuVPpmiv28cIXqFevHk2aNAGkDd0vGI1Gzp8/z8yZMwkPDyciIkJzrqcWgel0OuLi4rh16xYzZ86kWrVq9OzZkwkTJuTbN/T29qZHjx6EhIRw9uxZxQYhu9jA+fPn+eSTT3j//fdp1qxZsb13NUeOHGHHjh2KDyO+l506daJjx44lMgaJRFL2yEuYK/YkxSnMvX79OuvXrweyu4GKPUqHDh14/PHHgeLLAzGZTDkKCoq5+vDhwwwZMkSelZci5vYmchzS0tKUeI+zszOAZq3Ny15KUqCr0+k4f/48M2bMIDY2Vok1CJ/44sWLXLx4UdmjOzk5Ke/PfMzieuaxL39/f+bPn6/skSQSiUQiKU/89ttv/P7775qmIvb29vTr108pSF7WBYJSoFuxEH7Xt99+y6FDhzS2Kc40W7durXluWeVeHXTV5/JSoCuRSCQSiaQ8cN9mUOXVQVf8nJyczNKlS9HpdLKDbjlFbA4zMzOZOHEijRo1wsfHh44dO+Ls7IyLiwuQvUkuilg3KyuLWrVq4eHhQWJionJdo9HImTNnyMjIwNbWtkQ2q/kR6EZERPDJJ5/g4eHBE088UexjkpQd1Dbu5uamPAbZh0HFIdBVHyR1796d7t2707NnTw4fPszff/9NbGys0k1XLX6rXLkyNWrUoEePHjz00EOaRJCyXH1OUjSEzTVs2JCmTZvy119/AdpDvbIo0BWU9QBXeaY0hLlw9zNNTU1VOtVCdoV0o9GIt7d3jvFZA3Gtpk2b5ngPdnZ23LlzRzkAkJQueSUJAUUS5gryK9A1p7SFuWpkcLxs4urqisFgUNZYkXxT0gJdcwGbsJfQ0FCioqKoUqVKke4trnfjxg3l36J6v6Ojo5IoJSk51HPnoEGDiIuLo3bt2tSsWZNatWrRrl07vLy8aNWqFXq9PofQvzjtsTQFuuIeBoOB3377jaeeeoq2bdsWy/uU5B87OzscHR155JFHeOSRR4C7nb3T09P577//uH37NgcPHiQsLIzr169z+/ZtZf0VtiP8R3X8SdiMwWDQiHXVXRjViY1wt1NjYmKi4oNKKj6ZmZkEBQURHBysJMsK8bZYPwcNGsTUqVOBkhfmCsGsNQoH9e/fn99++42DBw8q86mYdzdu3EjXrl3p3Llzke4hKV+UNYGumLdDQ0M1676Y4728vJQinpKySf369Vm5ciWvv/46YWFhmnMTuDsHhoSE8Pnnn2MymXjssceskvAl7rN3716++eYb5cxI3fHC29ub9957j0qVKsnif/cJp0+fZufOnaxcuZLExERlnwpofER1MS1xLmI0GomKimLZsmVcuXKFUaNG0aJFizxFusKOH3vsMUUILO6rjglkZWVx+vRppk2bxgcffEDLli2LJelR2PmpU6eYOXMmCQkJGvFbs2bNGD16tGbsEonk/kHMEWFhYTli7jY2NmRmZlKlShUWL15cLMJcg8HAgQMHOHbsGIByfm0ymfDy8mLAgAHK48URZxdFNwMCAjhw4IByHiWIjIwEkGflpYiwt7CwMM6dO8fff//N5cuXSU1NVfYtLVu2pGbNmvTq1Ytq1arh7u6er+uWhEDXaDQyY8YMIiIilPUXstdcUUBGxB3S09OVoiHqgrEivqWOdbm7u/PQQw/xzjvvKAWIJRKJRCIpL4i1MDg4WDnnEWtrlSpV6Nq1a77W9LJCfgS6WVlZUqBbTggNDeXff/9VfDLht3Xo0EE5vywv3EugKzvoSiQSiUQiKU/ct+JcuBuktiTQtdRBF5AC3XKGWpgrukps374dAC8vLxwdHWnfvj1+fn40a9aMRo0aodfrcXFxKVR3XRsbG+rWrUvjxo05cOAAkL0pv3LlChkZGYoYuCTILdFXdCjNzMykbt26PProoyU2JknZITdbVm9ai0ugq0YkNb/22mvExsZy8eJFUlNTSUpKws3NDWdnZxo0aJBrwrHcXFdM1KLrrVu3MmfOHEArzBXPK8sCXYn1KS1hrrhGUlISycnJGlvMysrCxcWFXr16AcU3L4mkTPU9jEYj165d48yZMzzwwAPFcl9J/riXMFctji2sMFeQH4GuSH4QiHuPGTNGSeSQBygSNdWrV8fb25vbt29rErxKWqDr4eGBl5cXcXFxSiKuyWTiypUrhISEWGU/HhwczC+//JLj8aeeekpW7y9h1HNnYGAgcXFx2Nracv36dcLCwgDYtGkTRqORevXq4ebmxiOPPELDhg2pU6cODRs2xGg04ujoqLmumN+scRiXl0BX/N/aAl0hujMYDNStW5cBAwbQuHHjIr0PiXUQXWLV4nBnZ2ecnZ2V/fNzzz2Hra0tERERXLhwgfDwcP79918SExMJCQlRPluBSLQVvqy4rnmnETUiIWT69Ol89NFHeHh4lMwfQFJqmEwmJk2aRHBwsDK/qTvcwd0OeO+88w4A6enpODg4FPp+eQlzdTpdnsLcos67Yg7v2rWrkvhkLsDcvn07bdq0oVKlSjIudB9RlgS6Op2Os2fPsmDBAiB7jwZ3bbhOnTrUq1evWO4tsR4NGzZk/vz5jBs3TiPQVXckv3TpEl988QVAkQW6Yn4LDg5m4sSJpKamKgIIUZyjUqVKDBkyBF9fX6sUO5CUff766y9WrVrFiRMnSE9PV+YydcEW0K6x6sKVIgnTZDKxa9curl27xocffkibNm1yvae6yFFgYCBRUVHK3Kmez4Qw+PTp07z55ptMnz6ddu3aWf1vYGNjw+XLlxk3bhwxMTEaYW7lypXp3bs3Pj4+ypgkEsn9g3ncyDzmbjQacXZ2ZuXKldSpU4eMjIx8dxDP773Pnj3LwoULNQXVxH7Iz89PKciSW5y9qHsk8Vo/Pz9lXGJPCFC7du1CX1tSeMTnajQaSU1NZeHChezdu5fz588rz1GfCd24cYOsrCx+/vlnfHx8GDduHE2aNFHiObnF2ktCoGtra8t7773Hhx9+yKlTp5TXqAvFqQVJJpNJ8x0Uj9nY2CjjNZlM1K9fn27dujF48GCqVKlStD+4RCKRSCSlgE6nIyQkhB9//FFTUBfghRdeULrmlicK00F36NChrFixgkaNGkkRZBkiJCSEU6dOKf8WttmrVy9l71CeKKpAVyKRSCQSiaSscF+Lc0EKdCsqwiE3GAyKMNfe3l4JBicmJhIXF8eGDRuAu8HxypUrU61aNdq0aUOVKlXo2LEjbm5uSrBYLYSxlOgrru3r68uBAwc0BzRJSUncunWrRMW5YDnRV6/Xk5GRQYsWLVi5ciV6vV6KMyQaLAl0dTodhw4dsopA1xxxzWrVquU5v0o7LXlKozuD2n62bNnC22+/DaBJyhEIW5UC3fuD0hLmQnZhgSVLlhAREaH8W/gajo6OeHl5Ffk+eVG/fn18fHyIjY1VvgvicPz27dvFem9J3pREx1xz8ivQhWwf1tvbWxGYWTNRSVIxcHZ21iQMCUq6g66Pjw/e3t5ER0crtivG9fXXX1OvXr0iVdlPT09n7969pKSk5EhsDggIKPobkOQb4dtb6nyi7pIoPp+wsDAMBgPBwcEAODg4ULt2bby9vWnfvr3SXbdy5cq4ubkB2fNfUW01N4GuWrhhLYHu5s2blXXdz8+PAQMG0K9fP1xdXQs9fon1EZ9rXnZVs2ZNatasCcDQoUMBOHXqFPHx8Rw7dozQ0FAiIyMJCQlR9jSQPSeJQ2ZhS+qu4iLetH37dkwmEx9//HG5qtAuKTgGg4HatWtTu3ZtpXiBeefl2NhYXnrpJWbNmkXVqlULHUPJTZgr5mdRCBGsL8yF7KT2xx9/nMWLF3Pz5k3F5sX3ZPfu3YwYMYL69esX+X6S8kVuAl2j0ViiAt24uDjWr1+fQ0iXlZWFu7s7Q4cO1XRDlZRdGjVqdE+B7sWLF4ss0BVz8vnz5xk1ahR37tzRdCYT+/vWrVvTpUsXGdO8T1i7di3z5s0jMTFRsQG14FZ9zgnZ+3Mx36n9R2Gv9vb21KhR4573Vot9Jk6cSHJyMmvWrMnRRVrYeVhYGCNGjGDmzJk8+eSTODs7A4Xba5l/f4KDg5kwYQKRkZEawbrJZKJly5Y8/fTTMoYlkdyn2NjYEBUVRVBQELGxsZqYu0Cv17Nv3z7q1KmDXq+3iv8l8oVu3rzJm2++yY0bNzTzU2ZmJg4ODkydOpVq1arl2Hup5zn1fKcu9JXfMYrXCBGn8DGzsrI0Z2FSKFFyiM8vMTGR7du3s3XrVg4fPqx8pur9CWSv3zY2NkRHR3Pz5k1eeeUVevfuTc+ePenQoYNmXTanuAW6WVlZBAQEMHPmTJYsWcL+/fsJDw/XxL7Ua7Ma8/i9eM7jjz/OiBEjaNy4cYnnR0kkEolEYg3UMXJRYFX4fDVq1ODxxx/XPK+0EeMwGo2kpaUpe3ZLFKSDrqOjIwkJCfTp04edO3dSvXr1kng7kntw+/Zt1qxZA6CJDz399NN0794dKDv7A/Nx5DUutUB31apVBAUFkZ6enqdANy0tjR49epTIe5FIJBKJRCLJD/e9OBfuBrEnTpwIaAW66qQOKdAtP1jqmCs+T9FVQp1QJg5xoqKiiIqK4uTJkwAsXLgQnU5Hu3btqF27Nq1ataJRo0ZUqlQJNze3HBsFEVTv0aMHW7ZsITMzU0mwTExMJDg4uFQqE4lEX51Ox5YtW7h165YizHVwcFDsXVL+yW/iZX6CQ5YEuiaTyWoddNVYGrOlMUphbskiPoPY2FgcHR1L5PAsL2GumLfFz+qkdZGkKwW6FZfSFOYKDh48yIEDBzRzm/Ahhg8fTp06dax2L0u4ubkp67ZABCdPnz7N448/XmYCrPcTpSHMFRSkg65OpyMmJobhw4cze/ZsatWqJYteSDSohWGQsxtNSQh0xbXat2/P2bNnlcMVMa6wsDB+/fVXBg0aVGARmrj28ePHWbt2LZmZmYoPYTKZaN++vSKOlJQMtra2XL58maCgIGXuFB0Z1Z2gAE3XKDGvGgwGQkNDCQ0N5cCBA8DdIgT29vY0bdqUpk2b4ufnxyOPPIKdnV0OmyloQmRJCXR1Oh2rV6/G3d2dQYMGSWFuOcR8bRXCBhsbG5o3bw5Ax44dAUhOTiY8PJy4uDh27dpFdHQ0x44dIz4+PkdXErWdqhMk/v77bwAp0K3AmEwm7O3tGTduHM7OzmzYsIGIiIgc85eNjQ2HDh1i0qRJzJs3Dy8vrwL7e/fqmKv2bYtDmKseR40aNRg9ejQff/yxEg/Q6XTo9XpiY2NZt24d7733ntXuKSk/5NVBV114tbgEullZWRw9epTdu3cr/on6+1G1alUaNWoE5F3EQVJ2KG6BrlqYGxgYSHJysiZuIJInfXx8GDZsGA0aNCjW9yspG/zwww989tlnQPbZojqZVuyF7O3tqVKlCjY2Nri6uhIXF0d0dLRiPyI2ajAYaNSoEe+++65SIOZeqAXA//vf/0hPT2fjxo3KOapagCPm1rfeeoshQ4bw+OOPK2IiKJgvIJ4XERHBwYMHmTNnDrGxsZpkZ/F+3nnnHSpXrpy/P6pEIqmQJCYm4uHhQVJSEqmpqTnmmtu3b7Nw4ULS0tIYOXJkniLH/CD8yfj4eEaMGMG1a9dyFESws7NTChusW7eOQ4cOkZaWho2NDQaDQRFteHl54eHhQatWrXB2dlYKDoqx5VYQXo14vGnTpnh7exMfH59DmFtWRCH3A+JvHR0dzddff82ePXuIjIxU9gQihqlGxN3F2mpnZ0dGRgZbtmwhODiY4cOH069fv1IT6Ipr+/r6MnHiRB5//HHWrFnDnj17lLGLrrjiLB5Q4utiHwbQqVMn2rRpo8RQJRKJRCIpr4j1+M8//yQjI0PT0MfHxwd/f3/N80oTEb9KTk5m69atJCYmMnLkSPR6fa4+QH4EunC34DvAk08+KYW5ZYi0tDSioqIAFF/NaDQq3Y0hZ65HaSBsKT09nbNnz1KrVi2lSVZuCN9U5LZbEuiKn/fv30/btm1L6N1IJBKJRCKR5A+pyPt/7OzsZAfdCoIQ5o4YMULTMVccKEP2JlMEikWQXL1pvnPnDgaDgT/++EPZuLi5uVGrVi0efvhhfH19eeyxx3BycsLb21u5tru7uyYALoLSsbGxQOlUJqpVqxaDBg0iKSmJ8PBwFi5cKIW5FQi1rQGEhIRw/fp1Tp06RXR0NJUqVaJJkybUrl2bNm3a5DthwpJAF7CqQDevQyZJ6aEWm/Xs2ZP27dszd+7cYhXo3qtjrvg5MzMTvV5Ps2bN+O+//zSJ6VKgWzFR28aKFSs0wlx1QkTfvn2V31k7GSEhIYHff/+d0NBQ5TExRzZu3JgOHTrkGKs1ycrKwsnJCR8fH65du6YEJMW9Ll68qIxJUnLkJsy1JF6wtjBXkB+BLmQfypw4cYKJEycyf/58fHx8pEBXoqDX66lUqZKypkL2nCb+X9wCXXGNzp07s2TJEiWZTVw/ISGBn376CR8fH7p06VIgv8TGxoZLly7x9ttvc+vWLWUNMZlMVK9eneeee07zniXFj8lkYvny5crnoV7X1AeHosiAQMyrasGjENkKQWNkZKQiWPT09MTZ2Zn27dtTpUoVWrduTa1atfDw8MDV1dWi7eZm0yUh0B04cCAeHh44OzvTq1cvKcytAORlY87OzjRu3BhA8SdjY2OJi4vjzJkznDp1isjISE6fPk1GRgYJCQmavY8U6N4fiDlOr9crc5C5QFfMlTY2Nhw5coQ33nijwAJdca1Tp07lEOYCJSbMhezvTUBAAG5ubsTFxSnvIT09nebNmzN58mSr3lNSOErLdyoNga74jly5coWvv/6ayMhIjR8gvh+vv/46tWvXLtoblJQ4xSXQvZcwV8yttra2TJo0ifbt2wNyX1LRWbZsGTNnzgSyC0+aTCbFHvR6Pe7u7vTr149HHnmEli1bAlCpUiUiIiK4fPkyv//+O4cPH+b69esA+Pr6MmLECB544IECjUUUxbK1teXjjz/Gzs6OH3/8EciOJYmzVDG3rlq1ip07d/LEE08wcuRI3N3dcXJy0sQQxHdI+DHi/Ql27NjB1q1bOXDgAElJSTmEud7e3sydO1cRskkkkvsXf39/Pv/8cz7++GOOHz+uFO6B7Nh4bGwsy5YtAyiSQFfMdQkJCQQGBnL58uUc51DieWvWrFGEu+bdfM1xcXHBaDTSqlUrfH19adOmDY0bN8bDwwMvLy+La775+J2dnTEajRgMBinMLSXE3/rGjRu88847HD9+XBHrqAsLqmPplsQRwvczGAxcunSJzz77jLS0NAIDAzU5RuYUt0DXZDLh7u5O586d6dy5M7/++ivnzp3j119/JTk5maSkJAAlRiDeV4MGDWjatCk9e/bkgQceULo8S9uUSCQSSXknKSmJyMhITTEVo9HIQw89pDm/Lg3U63pGRgbXr19n2rRpnDt3juTkZCpXrkz//v3znRNqSaAr/GDpe5YdxOe1fft2bty4oTkv9Pb25umnny5T8URbW1tu377N/PnzOXHiBE2bNuW9997D0dExz9flJdAV7xfudgp++eWXS+KtSCQSiUQikeQbnUmd5SjBaDQye/Zsvv/+e0DbrU8ESV1cXBg1apQU6JZhXn31VXbu3AlkHy5DdmBZ/RhoE89BuwFVix7MD1e8vb3R6/X06NGDmjVr8tRTT+Hm5sZbb73Fr7/+qrzeaDTSoUMHlixZoqkoWdJER0fj5eWl2LUU5pZ/RODjzp07hIaGsn79evbs2UNMTEyO5zo4ONC2bVteeOEFHnroITw9PfOVpKkO6vz999+sXLmSQ4cOAShBKPGfEILfS6B7+fJl6tWrB+S/46+kZFCLzYYMGaLYUs+ePfnwww+LRSCQ3465mZmZODo6smLFCmrWrMk777zDv//+C2TP9er12tfXVwp0KxDqjhLmCRFNmjRh06ZNwN3gs16vL/L91Hb5/fffKwFn8+D7iy++yDvvvJPnNYTgqKiB0JkzZ7Js2TKlSrXwS+bPn0+3bt2KdG1JwcirY665r1lcwlxL4zEajfzwww+KQBey/V91UnGLFi2kQFeiISEhgX79+nHjxo0cc5ewabVoV6/X0759+2LpoAvw6aefsnz5cgBNUrzRaKR27doEBgbSrVs3qlevbrEDqnoOT0lJ4fTp00yZMoXIyEhlDRHvrVevXrz77rt4enpabfyS/JGcnMyHH37Izz//DGgT08Fy0Qn1Z6sOZ6mfq97Di0JdAgcHBxwcHKhVqxaNGzfGx8eHjh074ubmpuxPBJZEbwDnz59n6dKl/P3336SkpOSwURsbG1q1asWoUaPo3LlzjnHn5+9ib2+Pg4NDvp4vKf+Yr9Pm82l4eDh79uxh2bJlhIeH5xBxiJ+7dOkiBboVGGEbGRkZLF26VBHoQvZaCdli3jZt2uRboJtbx1zh26oTzotDmJvXdcQeSIyhefPmrFq1ShYdLGXU++7SFBHevHmTjRs35hDoApqfX3755SIJdMV3KCkpiVGjRnHixAklNgDZRUOGDBnClClTZAyqHHP+/HlFoKsWJqr3Gw0aNGDy5Mk89thjQO7fgbyEueZz6yeffCILBt0nrFmzhg8//BDQxjdFPNvNzY1+/frRtWtXWrVqpbzOfC1PSUkhKSmJt956i7CwMAYMGMCgQYMK7Qeqrz9r1ixWr15NWlqaMjb1ONX76QYNGuDn58fgwYOpWrWq0j3IHFEMefPmzYSEhLBlyxZNB0FxzaysLHx8fFiyZInsIi2RSIDsdTEkJMSiQFfMHXA3b2P48OFKUaOCxCvVwtzBgwdz6dIlzTwtEPdTFzcw39MDOfb3Il4kfq/X6/H19aVFixbUrFmTTp06UalSJerXr6+5n3p+fvLJJ2ndurVS4EGKI0oO8bcODw/ntddeUwr5qs/91LFB8TuxXzD3KdXiXSGKfeedd/K111Z/7l999ZUi0FXfR1zD3t6eRx55JF8CXYG5zxEVFUV6ejoXLlwgLi4Oo9GIg4MDbm5u1KxZk/r166PT6TR7IOnPSiQSiaQicOzYMQIDAwE06/0XX3xBr169SnNoCkePHuXgwYP8+OOPxMTEKMU227Zty6effpqvbrfqdXv79u2sWrVKyQnt06eP9D3LILNmzWLp0qWaM+xatWqxdu3ae3amLSlu3LjB2bNnmTVrlpK31KhRI5YtW4aXl1e+7El9biUEunq9noyMDCkal0gkEolEUmaR4lwLSIFu+efatWukpqZy5MgRoqKi2L9/P3fu3CE8PFyTmCs+WxFgNq9oCdquPaA9TDE/kKlevToeHh7Ex8dz8+ZN5XGTyUTDhg2VpOPSRgbEKwbicCQ6Oppvv/2WgwcPcvny5RxJDeqEiaysLKpVq0ZAQADvvfcetWvXztcm1Vygu2LFCg4fPgzcW6BrXq31t99+48svv+S5557jtddeK/a/kyT/iM8qLCyMwYMHExsbi4ODAxkZGZhMpmIR6OYmzFV3nzQX5rZo0QKDwcDly5eZPXs2u3fvBqRAtyLzxx9/MH78eABNIqOY77y9vRk1apTVBJBqu9y8ebMivlX7hCaTic6dO/Ptt98Cd4U04vBdzItOTk45ri3GVpAxivEsWrSIOXPmKAFHuHv4rq5kKSl+8uqYa85rr73GuHHjgOIvRiEFupKiEBERQd++fUlMTASyk4fq1KnD1atXgZyFEYpToHvo0CE+//xzzpw5o4xH3YXAy8uLFi1aMGrUKFq1apXrfY8ePcqePXv46aefiIuLy9GNx9/fn4ULF1KrVi2rjFtScJKTk5k6dSq//voroPXnIGchLcjek4uOu+qkM0tdKYTt5FZ0y9HREaPRyAMPPED16tVp1aoVjRs3xtPTM9f90pkzZ/jhhx/4+++/c3TQtYZAVyIxt7ukpCT+/PNPvv32W65fvy4FuvcpxSHQLW1hbm7jEo+fOHGCKVOmcPXqVSnMLSOEhYWxZMkSAgICGDRokKYgRmkkweQm0FXHhqDwAl1ha5mZmQwfPpyjR49qfBDxvWvZsiUTJkygbdu2Vn+PkpLFGgLd3IS5Itapts2PPvqIF154weJ1JBWLP//8k/fff5+kpCRNASxhD5UrV+ajjz7ioYceUny53OZW8XhmZib79u2jRYsWeHl5FWl86jX5hx9+4Oeff+bs2bMAOQRqYk8m5kBbW1vs7e1p3rw5rq6u+Pn5odPpSE5OJiUlhTNnzpCcnKwpKmtnZ6d02RW237hxY7788kvq1KlTpPcikUgqFsUt0M1LmGupsLt6XLmhfr55J1XhW6pxdnYGoE2bNlStWpX27dtTv359fH19lc5S27dvV86CZAJ6yaE+Ox82bJimSxmQI9ZYq1Yt3NzcqFWrFtevX+fOnTvKOQ2gsS21fTRo0IBJkyYpccT8jAmKR6BbUKQ9SiQSiaQismPHDsaMGaPEyoXPOW/ePLp3717qMZzY2Fhee+01Tp48CaDEK7OystDr9Xz99dc89thj+RqneU7ovHnzaNiwIbNnzwbkWl9WMBqNGAwGgoKCOHnypKZ4ZIcOHVi8eHEpj/AuR44cYfny5Rw5coSEhASNbQ4cOJBp06bl+1qWzq/69u3Lp59+qvm9RCKRSCQSSVlBinNzwZJA17yCsRTolk0sbSqFYObkyZNKZZ4TJ05w+/ZtIiMjNc8VycDmh82WEn3V3XPEcyx179HpdLi6urJ69WpZ7VliFUSixPXr1xk3bhwXLlxQgkHqxAhLVVnFv6tUqcLixYsJCAgoVDDmXgLd559/nueffx5vb29lM3zgwAGGDx+uXPP5559nwoQJeHp6ys1yGSEiIoKnn35ak5CrtilrCnRzE+aqk39F4pq5MFck4YaGhvLFF19oBLrmB6JSoFv+OX36NDNmzCAkJIS0tDSLCRBFqYquRm2Xv/76K5MmTQJyHphXrlyZt956i6ioKEJDQzl37hyJiYk4Ojoq35nKlStTu3ZtXFxcaNu2LdWqVaNOnToWvz/56RJ48OBBXn31VVJTUwGtMLe0g//3C/fqmKtOptDr9UyaNIkePXpQtWrVEh2fFOhKCsrVq1cZOHAgiYmJmiIC48eP59atW6xcuRIoWYHuDz/8wMKFCxXBsECdcAfQrVs3/P39adasGS4uLhgMBk6ePElERATbtm0jIyND8R3UwtzKlSuzcuXKHN1SJSVPbgJd0Fajfuihh3B0dOT06dMkJCQor1cXvTDv+mxpfVWLLHLrYCLW+oCAADw9PenYsSPe3t4EBAQoSe8RERHMnTuX3bt3k5iYqOk0LQW6kuJACnQlYF2Bbl7CXNAmGRe3MPedd97B3d2dKVOmaK6dkZHBwIEDSUpKYtu2bVKYW8qEhYXx/PPPK/7ZI488woMPPsgLL7xAzZo1leeV9HpnSaAr9u9F6aArbM1kMjF06FCOHDmiEeaKtd/NzY033niDwYMHF+fblJQgRRHo5iXMBW3c88MPP6R///6ATCar6Jw6dYqZM2dy7NgxzeNira1SpQoLFy6kWbNm+b5mcdiMem3et28fv//+Oxs2bABQ7iX2WWKeF36oep9uCfXZlbiWmE+rVq3KQw89xKRJk2TxLIlEYpHiEujeS5irvr6NjY1yZqqOO6mTzc3jUuY+sXq/pp4TRbEC8ZitrS06nY769evj5ubG+++/T6NGje75fiTWRX0eFBgYSGxsrMW8MYDHHnuM1q1bM2DAAOzs7HB2diY5ORmArVu3EhwczC+//AJoY+zqgoLdu3dnypQp+co9Ky2BroxtSiQSiaSiI9a6devWMW3aNCWOY2Njg42NDQsWLFBiQaVJamoq33zzDT/88EOO4lkGg4FOnTrx1Vdfodfr83U99Rp/+vRpJT4hfc+yRUZGBk899RTXr1/X5AR36tSJRYsWlfLo7rJw4ULmzZsHZPu9wj9t2LAhixYtKpDWQtjgsWPH2LhxI5988onmcYlEIpFIJJKyhBTn5kF+BbovvfQSzz77rBToljHUm0ZLQWKj0UhycjLHjh0jJiaG3bt3ExMTQ3h4OPHx8TmuJw5B1B1IwXLlU/NxCCZOnMjLL79s5Xcqud8QCRLh4eEEBQVx8+bNHAd4AnWCuRoxh7m7u/PNN9/QunXrfN27IAJdHx8fHn30UV566SVSUlIICQnh3XffxWQy4eDgQHp6OnC3CvArr7xC27ZtpSiolDGZTGzdupXp06eTmpqqEbpaW6B7L2Fubh1zLQVXLAl0ZQfdikNxV0W3dC+A3377jYkTJwLaxEk1zs7O3LlzR/OYmAvN517xHapTpw4NGjTA39+fdu3a4ebmRkBAgMXxmCfPh4WF0a1bN0AKc0uDvIS5AnVBjKysLFxcXBgxYgT9+vUrsb2CFOhKCoKYP/bs2cMrr7yi2IdYS5cvX06DBg1YsGABq1atAopfoKt+/Zw5c1i8eLHGbs0PF8U+zN7eXhm78DOBHIJNUTxBvDdJ8ZLfNcqSQFd9mAxQr149Fi9ejL29PefPn+fq1avs37+f27dvc/r0aXQ6nSJ6UHcjUa/J6gRJNeoOJpa66wpfoHbt2nh5edG4cWM6depEREQEx44d46+//srRSUoKdCXFQW4CXdDu2aRAt2JjDYFuWeqY++GHH7JmzRoAxo4dy5gxYzQCt8jISCpXroxer5fC3FJEvQ9Sx/UAPD09efbZZ3n44Yd5/PHHlcdLMkEmtw66QKEEuvcS5qrn3JdfflmJH8h1vuJQGIFuZmam4qtKYa4EUGKECxcuZPHixaSnpyu2JPYd3t7erF69Gj8/vzIxh6jt8fbt2+zbt48vvviChIQEzZlBXgI0ER8Va7m6cJL5Xv6BBx6gX79+PPnkk0Xu/iuRSCo21j4rykuYC9mxHXWMSeQH6fV6kpKSyMzMtBhnMk9CN58vc/u/+Fmv1yv+9pNPPsk333xTrH9bSU4snQflJswdOnQogYGB+Pr65sjVEPaZkZHBTz/9xEcffaS83nxv4eDgwKxZs+jWrVu+/MOy1kFXIpFIJJKKxJIlS/jiiy9yNPL56quv6NKlSymP7i5Hjx5l/PjxSgER9dmmv78/a9asKVBen7l/IP2FsofBYKBr167ExMQoBYUA2rZtyw8//FBmPrPBgwfz33//5fBJAebPn6/kveWX3ArPSiQSiUQikZQ1pDj3HlgS6Iogvwi4urq6MnDgQEaNGiWT3soJeQkPLl68SEREBFeuXOHQoUMkJCRw4sSJHFWm1N11xabG0kG0eULbm2++qRwESSQFRWwub9y4wYsvvkh4eLjFAz5zhM1a6irq5ubGvHnzaNeuXb7GUBCBLtwVr9nZ2ZGYmKgc/hgMBs2h1cSJEwkKCsLJyanIfyNJ0YiPj2f79u0sXLiQGzdu5Jrs3aNHDz766KNCCXRzE+aqk9UsdczNK7giO+hWbEpCoJubMFdtl+Je6kRM9WuFHyAeU3fls7GxITMzU1M0wc7ODkdHR1q0aIGnpydPPPEE1apVo2nTppr5UNwrIiKCPn368NlnnykB/7ISXK3o5CbMVSffmB/MqIv5jBo1ir59+0qBrqTMsnXrVk2nOmHL69evp0WLFkRFRbF48eJSEeh++eWXrFq1ipSUFEBbhAOyRZhqMaQYl/r9iH/Xr1+fefPmUb9+/UKPT5I/xOcYHR1NQkIC/v7+eT4/OTmZadOmsW3bNoAcfqjRaKRx48bMmTOHOnXqaF577tw54uPjOXjwIGFhYVy7do1Lly5hNBo1h9FiflYnV5rP4eJ55smRIgagvp5Yr1NTU3N8f9QFlKRAV2JNZAddCRRNoJuRkYFer88hzDXfj0PxC3OnTp3Kjz/+qJlf1QJd9T2ln1p6hIWFMXjwYGJjY5W4nrAt8dmJ9fWZZ56hZcuW9OvXr8TjfNYS6BZEmNu/f38+/PBDQK7vFZH8CnQnTZpEp06dAAgJCWHIkCEaYa46RgBSmHu/IGzl3LlzDBkyhDt37ii+mrCHypUrs2jRIpo1a1am17mLFy+ya9cutm3bRkhIiPK4GK9arAvkiI+Kx9TnrHXr1qVdu3a89tpruLu7y3i9RCLJF9Y6K7pXx1y17+jr60vdunV5/vnnqVq1KrVq1cLJyYlbt24RHx9PUlIS//33HzExMZw9e5bw8HClSLwadZEkMUbzWJTY14vz/meffZbPPvtM894lxc+9CrWq/bqxY8fy2muv5duf27ZtG2+//bZig+Zi32rVqrF+/fp8nyVJga5EIpFIJNZFrI/ffvstc+fOzRH7nDp1KoMGDSoz8Zyvv/6ar7/+GkCzrptMJv73v/8xePDg0hqaxMpkZWURGxtL165dSU9P13zejzzyCD/88EPpDe7/EbGtP/74g2nTppGYmKjEjIS/269fP2bMmKGJGUkkEolEIpFUFKQ4Nx8YDAa+/PLLHAJd0UnVYDDwwgsvKFUOJeUTSwff4mDk/PnzJCYmsnfvXq5evUpoaChXr15Fr9eTkZGheY1aKKk+WJECXYm1iIuL480332Tfvn2KvYkNrL29PTqdjvbt2+Pm5oatrS1Xrlzh0qVLJCUlAVg8XHR1dWXOnDk8+uij+RrDvQS65kn0AkuCySZNmvDJJ5/k2jlSUvIkJCTwxx9/sGjRIo1A1zzZuzAC3dyEuWq7LKgwVxAaGsrs2bPZtWsXIDvoVjSKU6B7L2GupQ4Q5q8XY7CUTKH+tzrBQl3JELJ9zAYNGlCrVi1atmzJQw89RPXq1alevTp2dnZcvHhR6fQoD85LhnsJc8X8Inw/SwkVUqArKasIO5k/fz4LFizQdBmtUqUK69ato3r16gAlLtBV2+EPP/zAzz//zNmzZy3e2xwx34rfm0wmfHx8aN26NePHj6dWrVqFHpckf4jP/+rVqwwdOpRJkybRp0+fe74uL4GumFP9/f1ZsGABvr6+uc5XiYmJREVFERMTw549e4iJieHQoUMkJyeTmpoK5Ex6FI+ZJ0jm1glK7YcIzEXhYr23JNCVSIqCFOhKoHAC3S+//JIqVaoQHBzMsGHDcghzS7JjrhDmivsCyr2HDRumxAskpcu1a9cIDAzUCHMF6iIWNjY2mt81bNiQ3r17065dO5o2bao8XtyJa5YEupa6W+Um0M2PMNeSWKKsJORJrE9+BLr169fn448/pnLlyvTp00cR5lrqRi6FufcXycnJTJo0id27d2vODo1GI25ubsyaNYtOnTqVWIxPHQsqzGszMzNZs2YNZ8+e5ddff8XOzk7p7Ghp32S+X/fy8sLV1ZXBgwfTqlUrmjdvXrQ3JJFI7kuKelYkYvi5dcxV+4x9+vRhwIABNG/ePMeZoqW5OyMjg/j4eG7cuMGxY8eIiYlh79693Llzh8jISM1z1TlHwtcUfmdWVha9e/fm888/V8YtfYaSIb/nQQCTJ09m1KhRBbouwObNm3nnnXcA7R7czs4Oe3t7Pv30U3r06JHvz10KdCUSiUQisR5ibRT5bOp4qMlk0vhopYkY53///cfrr79OfHx8jjOi0aNHM378+NIeqsRKZGVlER8fT8+ePUlMTFQeF3kQq1evpmbNmqU4wmxu3LjBsGHDCAsLy1E029fXl82bN+Pi4lLaw5RIJBKJRCKxOlKcm0/MO+jq9XoMBoOsWFmByeuzTE5OJiwsjBs3brBv3z5u377N8ePHSUlJUQSQgtwq9EuBrqQwGAwGfvjhB7777jsSExM1h0AeHh6MGDGCNm3a8OCDD2pet3PnTnbs2MGGDRsA6wt0d+zYwerVq9m/fz+A5iDR0vdIjNnJyYkFCxbku2uvpOQoDoFuXsJcMTcWVpgrsNRBVwp0Kw7FIdDNT8dckWhs3jFP/bgo2qIu0GEpIc28y6o6qVMkM6vvIa4rhJPe3t45xi0pPvJKxADt/PXwww8rhSrE47KDrqQ8YDAYGDFiBIcPH9YUFXjwwQdZu3at5rmlKdA9cOAAu3fv1lR9Fd81IehRP18tDmnXrh3PPfccjz76KJ6enoUejyR/qOfOIUOGEBMTw9tvv82wYcPyZROWBLrm/lzDhg355ptv8PX11ayJ4vqW1slbt25x584d/vvvP86fP8/Vq1c5efIkWVlZSsKaQG1bIinSvOiGQC3GtfQcMX47OzsefPBBhgwZQvfu3Qv2R5VILCAFuhIouEC3Q4cODB8+nLFjx5YpYa6Y5/V6PWlpadSvX5+ff/5Z+qNlgC+//JLvvvsOvV6v2IqlPS1oC1+IddTGxoYhQ4bQvHlzevbsqVy3OAUGhe2gm5mZib29fb6EuVIscX+RH4Gur68v0dHRpKam5jq3SmHu/YOwj/PnzzN27FjCw8M1+wYHBwdGjhzJ8OHDC1T4sjBjyA/5sUfzONHJkyeJiYlh27ZtxMfHExkZye3bt8nKysJoNGJvb4+joyPe3t40atSIKlWq0Lt3b9zd3ZX4ZkHHKZFIJIKinBUB+eqYGxQUxHvvvae8Jq8zJuEfWIqpi5jTgQMHCAsL4/Dhw4SGhioF5Cx1zJW+ZulQkI65ItYJ+V/L1M+bM2cOixYtAnJ2uevRowdz584t1NhBCnQlEolEIrEGO3fu5NVXX1XyKMR6+vDDD7Ns2bIy5Z8FBQVx5MgRTbw2KyuLtm3bsmTJEiXnSFIx6NOnD+fPn9ecSVeqVIk1a9aUqcY4a9euVZqdqbvnOjs7s2LFCho1alTKI5RIJBKJRCKxPlKcWwDMO+gCMjB+nyEOVCx91jdu3CAjI4Pjx49z6dIlzp07x6FDh5REJEuHOlKgK8kv4lAkJSWFl156iWPHjmmS0729vZk/fz4tW7ZUDv2ysrIwGAzo9XrgboLZypUrlTlLfRAjrlMUge6///7LmjVrlK6laluH7IMldTfdb775hieffLKIfx1JcZGbQBfQiA/zI9DNTZirrjZsZ2dXJGGuQAp0KzbWFOjmJcy1dNgO4OnpiV6vx9HREScnJ1JTU4mKikKn0ymd+ARinhX3tNSJz9J7E0FUR0dH5ZqzZ8/m6aefLuqfT1IA8krEMPfpRCLGrFmzWLp0KSAFupLyQ3JyMoMGDeLSpUuaRLJnnnmGTz/9FBsbG83cWdICXfPXHzp0iN9++41jx45x9epVzRwtsLe3x87Ojh49etC0aVOGDBlS6PtLCob4vMLCwhg0aBC3bt0CoH///nz44Yf5vk5+OujmJtBVo15zLc1pUVFRJCUlcejQIWJjYzl8+DCRkZHExMQoggpxT/P50vweAkudotRrxrhx43jttdfy/beQFB71/FFREw1zE+iCds8mBbpll9wK+hSEggp0hW3k1v2npIW5BoNB8TcMBgMPPPAAy5cvx8HBocJ+d8sT0dHRjBo1igsXLmg+Czc3N9LT00lLSwOyi1ep10i1XdnZ2dG+fXt69OhBhw4dNPuh4jhXyU2ga27vQqCrLmzw4osvaoS5WVlZUiwhuadAV8RycrM1Kcy9P5k5cybLli1T5k9hE7Vr12b27NlW7xxrblvJyckkJCRw+PBh4uPjuXr1KqmpqdSuXRs3NzceeeQRatasqelWUtC1Vzw/Li6OlJQUsrKySEtLw8nJCWdnZ/R6veyGIpFIioWCnhUNHTqUl19+mdTUVJ5//vk8O+YOHz6cKVOmaO5TmLFZer3RaCQlJYXQ0FCCg4O5du0a+/fvJzMzk5s3b0pfs5QorDC3oJ+RsIdz587x5ptvcvnyZc3jOp2OWrVqsXLlSqpWrVqo9wBSoCuRSCQSSVEwmUycOHGCgQMH5lhDARYtWkSnTp1Kc4gASk7yd999x5dffqnJTwZo1KgRP/30k5I3KinfiPO+wYMHc+LECcU2hZ/60ksvMX78eCVOX9ocPHiQESNGWCyA/dVXX9G1a9dSHJ1EIpFIJBJJ8SDFuQXEaDTy5ZdfsnTpUp5++mlmz54NyMB4aaCuSiW60EDJJlyadwVQ3/fKlSts3ryZ77//PkcXPCnQlRSWb7/9lrlz52qSezw9PVm0aBEtWrTI1zU2bNjAhx9+SEZGRq4C3blz59KhQ4d8XU9t+8HBwaxdu5atW7cCKElskJ0QD+Dq6srMmTN54oknclxDUrawRgfde3XMNRfmrly5kubNmxdpbbUk0DUXdEiBbvnFGgLde3XMVc+ztra2PPzww7Rr144nn3yS6tWrY29vrxzMR0dHk5aWxpkzZ7hx44bSiS89PZ3r169rxq7uxCfmRPV7Ev8X3wmAr7/+mi5duhTvH1WiIa+OueYJtupEjIyMDObOnasU87Hk/0mBrqSs8ffffzN27FgAzTw6a9asXIsClLRA15zMzEyysrI4c+YMYWFh3L59m/j4eCpVqoSzszPNmzfHw8MDPz8/5TXS3yx+xN/42rVrDBw4kNu3b+Pg4EBGRgbdunVj3rx5BbpeUTro5kVe3XVTU1MxmUxcvHiRU6dOERYWxv79+0lLSyM8PFzzXHVHXCHWUf8dBOoue+o4kqR4EeuXwWDg2rVr1K9fv8LOA7KDbvnkXvZo3pHxXuRXoCtQ75lKs2OuuTC3WbNmrF69GgcHB2XfJCldUlNTmTFjBhs3btTYSvPmzQkKCuLff//l5MmThIWFabp+mc9DgFKEyt3dneHDh9OkSRMefvhh5V7W3ntYEuhaEl+MGjWKyZMnA9mdJsw75oqfpVji/iY3ga5AHdtRd8+Vwtz7D5PJRHp6Oi+//DKHDx/WzIsAU6ZMYfjw4Va9n3rNPnz4MCEhIfz000/Ex8cTExNj8XWenp54eXnx6quv0qRJE+rVqwcUzE7NY5rm47H0e4lEIrEWBTkrqlq1Kv379+fPP/8kNDQ0V99wxIgRvPXWW4B1/VMxVkv7nLi4OKUIfM+ePQHpM5QkJSXMNWfcuHH89ddfmnVSFHtZt24dzZo1K/R7ASnQlUgkEomkKGRlZdGvXz/OnTunPCb8x8DAQN55550yI4Lcs2cPL730ksansLGxoWrVqqxbt67EclIkxYvw80QhOHMxdocOHZRGAmXFr3vuueeU75A4KzCZTHz00Uf069evlEcnkUgkEolEYn2kOLcQGAwG/vzzTyVRWQbGS4aCbhpK63NRjzMsLIx169axYsUKKdCVWIXx48fz119/KUmLzs7OTJ06ld69e9/zO6L+TmzdupXp06eTkpJiUaDr5ubGnDlzCiXQjYiIYMOGDSxcuFD5vQgAubu706xZM0aPHq0k35WVgMD9QGHnxaIIdAsqzC1Kx1xzZAfdik1RBLqZmZnK521JmKv+2c7Ojo8++ohHHnmEGjVqKPcX63puc1hSUhLp6ekcO3aMW7du8e+//xIREcG1a9fIyMhQnifsUt2FRz0OdcVAOV+WDIXpmAtaEdCXX36pEeiaJ/lIga6kLCDmlO+++4558+YphVTE+r5s2TKNWMKc0hToFrYjgaT4SUlJ4aWXXuLYsWPo9XoyMzMxmUz4+fmxdu1avLy8CnS93DroioNlg8GAv78/CxYsKJBANzcszXfp6elkZGRw9OhRYmNjOXbsGJcuXSI2NpbIyEjNc9VJdOJaouOeFPOUHOo1edCgQVy8eJEVK1bQvHnzCjsf5LeDbrdu3Zg+fTqenp6lPGJJamoq0dHRHD16lLCwMEVYW7duXZo0aYKPj49mzsyP7d5LoKsuniauV5Y65kphbtnl7NmzDBgwgMzMTI0tDR8+nDfffJMLFy6wZMkSdu7cSUpKimYtFKiFu+LzdXBw4JlnnqFTp0506NBB08XBWjaYm0DXfG/30ksvERwcLDvmSu6JJYGuumM0ZNs7SGHu/cyVK1fo3bu3UugN7q7HHh4eLF++nAYNGlhlrhNrbUZGBiEhIfzyyy9s3rxZ6WIr5jFAcy/xO4PBgKOjIy1atGDQoEFSFCaRSModBTkrMi+eau4TFpcwN69xW1oL5BxccuRVqBXI9TyoKJ+RsK0NGzYwbdo0AI0Q2M7OjkWLFtG2bdsivSeQAl2JRCKRSAqDyWQiIyODsWPHsmfPnhzFB729vVm3bl2xFKguDJcuXaJPnz5KgyPhY9aoUYP169fj7e1dquOTWJdNmzbx7rvvAnf3Our9zvTp0xkwYEBpDg/I9keHDRvGwYMHNUWzs7KyeOONN3j11VdLe5gSiUQikUgkVkeKc4tIWdhgVXTM/8aXLl0iOjqaAwcOEB0dTWxsLKmpqfj7+1O5cmXatWtHnTp1NBvL0vycpEBXYi0iIiLo1asXqampiu089thjTJs2TSMYywv1d+Hnn39m+vTp3LlzxyoCXXN27NjBvn37CA4OxtPTE1dXV1544QXq1atH9erVASmUKEnEZx8bG4vJZKJKlSoFen1hBLrqg2tLwlzIFkBaW5gryI9At3bt2kyePJknn3xSis/KGUUR6EJOYa4QX6qFud999x3t27dXXpOXfebViU9c7/Tp01y4cIGzZ89y+PBhUlJSlIR5MWYxH6s75sr5smQobMdcc7swGo3Mnj07Rwdd9TWkQFdSFkhOTqZv376Eh4dr5sFHHnmE5cuX3/P1pd1BV6C2XTlflj6jRo1i7969mjXNx8eHTZs2FVicC7kLdMXPhe2gmxfqA0JxsKnGYDAQGxvL+fPniY6OZteuXdy6dYuQkBDS0tKU5wnf89lnn+Wzzz4DZBypuBHrVWZmJkOHDuX48eMA1K5dm9mzZ9+3Al2xhhsMBk2ysaR02Lp1K3/99ReHDh0iOTk5x+/t7Oxo1KgRnTp1ok+fPtSoUQN7e/t8+WP56aBr6TigOIoC5SXMFftyKcwt+4h55H//+x8bN25U1jDh86kTfrZv385///3HsmXLlNcLUZja7tRFAwDc3NyoXbs2I0aMoGHDhjRo0EB5rjX2IZYEupbi8+LfsmOu5F7k1UFXbetDhgzh/fffB5Bz233IyZMnGTRoEDY2NorAByAgIICffvqpSIUizdfq27dvM2vWLE6dOkVoaCiAss6qE3PF42pBmDpe7uDgwOTJkxkyZAgg5zuJRFJ+yO9ZkXruLE1hrqRsYK3zoMLy999/M3bsWOXfanGFusBLYZACXYlEIpHcr4g1MD09HXt7+yKt2b/99htvvfWWpgCh8A+6devGzJkzcXJyssawi0RCQgLdunXjzp07mk6q1atXZ9OmTbJYaxlB7Z8Vxd+6dOkSw4cP59atWzmK9Hbr1o3333+/wDmh1kbEQd9//302bNigiT2ZTCYmTZrESy+9VKpjlEgkEolEIikO5ElwEZGHksWPCA7v2LGDAwcO8Ouvv5KUlKTZ+AIcO3YMgO+//x53d3eCgoJo2bIlrVu3LtUk7dq1azNw4EAAjUDXaDRiNBqVQ59Zs2YBSIFuOSevKrcFwdKhX2JiIqBNGuvWrVu+hbmQvRm3sbGhd+/eADkEusIuExMTmTBhQoEFuuK9P/nkkzz55JN5HlDJg52SQX24+PTTT/PII4/wySefFEgM5u7uTo8ePQByCHTVXcH++OMPAKZNm4aHhweQU5grAi7F1TFXjb+/P5MnTwZg9+7dyljFGmJnZ0dYWBj//fcf3bp1s9p9JSWDmG8DAgJ47733ciRdqJNpY2NjWbZsGSaTiVGjRrF9+/YcwlzxsxDS/vDDD7Ru3Vozp+dln+J3luY2GxsbdDodzZs3p3nz5vTr14/09HTi4+M5duwYMTEx7Ny5k1u3bhEaGspXX30lhbkljDUTMWxtbZk0aRJw1zdVF2gR62xycjJLliwBKDGBrvg+2NraKuMXAl31+xA/nzx5kvHjxzN37lx8fHykLVZAbGxs6NixI2vWrCEzMxMHBwfS09Px8/PTCF5zo1q1asrByapVqzR7HZ1OR0ZGBvv372fGjBnFKtBViyeljZYe4rOtU6cOe/fuVXwuGxsboqOjuXz5cqHEuS4uLkoXiW3btmn8OTGnXrhwgTFjxlhNoJvXup+VlYWdnR0+Pj74+PgA8MILLwB3C8NER0cTHBzMmTNnuHHjBnXr1pXC3BJCrHGZmZm8+OKLHD9+HDs7O0wmE2FhYcr+tqIKdF1dXenevTuARqArMBgMNG/enHHjxpXWEO9rTCYTR44c4ZdffuGnn35SHhfrpojJCLHqmTNnOHPmDLt27eKRRx5hzJgxuOSVn2sAAQAASURBVLi43DNJXPh7er1eiTEKga75HCS+B3Xq1FGEuRkZGZrupYVFdsytOAibefjhh9mwYYNir2It3rBhAwEBAbRs2ZKuXbsq/23cuJGjR49y7dq1HJ3l1YUDjEYjKSkpnD59mvfffx9XV1cCAwNp3bo1rVq1UuyoKPO2j48P/fr1A8gh0BV+q7iHiBepxexSmCsxp1GjRsyfP18R6Aq7UHco1+l0/Pfff/z777889thjik9S0fwPSe5ER0crc4x6nqlSpQr29vZFmk/E9S5fvszhw4dZsmQJ169fV34vYvXqzj5iLja3Q/U40tLSmDFjBkajkRdffFEWwJJIJOWG/JwVQXYRDfN4//Dhw6Uw9z4jt/MgdQfb4hLmirVVnJWLfYi6ILabm1uR7qHOCXn99dcBFIGueaHhzMxMDh06xIwZM/jggw/w8/OT+x6JRCKRlEvE+nX16lXmzJlDv379ePTRRwu9pvn6+uLi4kJ8fLzmXBLg7Nmz7N27ly5dupT6njktLY20tDSlyKDwf60R55dYB2GbN27cICkpiUaNGhXa36pTpw5+fn5ER0drYtgmk4k///yT7t2789RTT5VqPEec8QgbVIuIjUajFIxLJBKJRCKpsMhomqRMk5ycTEhICMOHD+fdd99l9erVxMfHK8k8ovKzra0ttra2SvD45s2bzJkzh0mTJrF48WKgdJO0hUB36NChSuKPumuJ2JDMmjWLpUuXlto4JUXnypUrgLbzYUFRH/qtW7eO/fv3A3eTOVJTU4G7B0J+fn507NgRoED3UicK9e7dm6lTp1KpUiVNxWBzge6+ffvyfX3zqsPqxBPZrL3kUR8uDhkyBIPBwL59+/jkk0+Iiooq0LWEQHf06NHUqFFDScjU6XSan//44w+mTp0K3O3QLIS5otOPmMOLW5grEALdTp06AXftWyRAGQwGnn32WWWMkvKHedLFgw8+qBxmAxphWWxsLCtXruTNN99UDqPVnSKFXdrZ2bF8+XJat26do5p6YVEnFMNdO3RwcKBatWo89dRTvPjii3z77bds2bKFX3/91epdqyR5I+zk6tWrDBkyRJOIUdgK6UKgO2LECEDr85kLdDdv3lzgObmwmAt0+/fvj5+fn/J+RFKI+E4EBwcTGBhIfHy8tMUKSKVKlQgMDFSq8Kenp+Pi4sLzzz+v7LXuhRDois466r2OuUD3+vXrGl9UUrEQ9uLv7w9k+/8iKfzGjRuFvrYQ6Pbq1QvI3jOpiwsJgW54eHiR9mP3wvx7Id4jQIMGDejQoQNjxoxhwYIFrFixgjlz5gBSzFMSiEPdoKAg/vvvP8XnF3/769evM2HCBE6dOlWsNlKaCIHuK6+8Qq1atZTvihBArlq1CkdHR02XSEnxk5WVxZIlS/jiiy8UYa6Ia4o9shAsCv9T+I1nz55l2bJlvPjii0RHRytzX16YC3Sff/55atasqYzFvKjclStXCAoKIjY2Fr1en6MgYkG5V8dcKcwtXwh76927t1LUTL32hYSEcPLkSQDFnlu1asW7777LihUr6NevHwEBAQDK3ltdFEgdU0pNTSUqKoovv/ySN954g3HjxnHw4EFiYmJyCMkKihDojhw5kkqVKin2pk5eUhf5Eu9RCnMluSEEurVr11Y6nKntIysri5CQEGbNmsW///4LFO3MQFL+EHOVOjlW/XhBbcH8+X///TcffPABX3zxBdevX1d8CzGvCsTaqrZPMc+p45UiDgTw6aefsmXLFkAWwJJIJOWHe50VmRdLEHPlyy+/zJQpUwApzL1fuJcwV10ovTg65gqb/O+//5Q9ksBgMGBvb1+g4uy5oY7Dv/766wwePFgRQqjPPkWO1dGjR/noo4+4dOmS3PdIJBKJpNwh1umwsDAGDRrEn3/+ycqVKzl06FChz6WbN2+uOZdU74+vX7/Opk2buHPnjvL70uL27dukp6drisYB1KxZU4ogywBq23z22WcZOnQo586dK1TOhMjzGTJkCM7OzprHRUxnxowZnDt3rlTjOeJ9ie+FeUxMngNJJBKJRCKpqMiImqTMcvnyZZYsWcLrr7/OwYMHlc2sOgFXJMmoK1OJZHCDwUBUVBSzZ89m6tSpXL16tRTfTd4CXZFMDFKgW55ZunQpTz31FFu3bgUKl2yjPvR79913mTZtGuvWrSMkJAR3d3dNVwdnZ2cqV66s3KsgFLdAV2DexUwmcpQs5oeLMTExODg4APDnn38yc+ZMbt68WaBr5leg++eff/LCCy8olaaF6BGyO5OWhDBXIAS6nTt3Bu6uFSLJUt3JTFI+KYhANyoqil9++QXItkX1z0KY+9BDDxVbd0fAYoKHXq/H1taWevXqKeOW82bJoNPpiI+PZ/jw4cTExODo6EhmZqaSqFjYRAxLAl1zMZkQ6G7atKlMCXRFhXaAli1bKt3QJRWP+vXrM2LECAYNGgTcFdtWr169QNeQAl2JGnEYqJ5P4G6RDCh4ErqgLAl01aiF7Oq9FKB0ubhXF2qJ9di7dy83btzAxsZG8fMg+zO43wS6fn5+ZGRk0KJFCymALCWMRiPTp0/n+++/VwSMosq+uoiZud8vusvC3f30mTNnCAoKIjQ0NIfoxhL3EuiaC3SOHDnChAkTiIuLU8ZX2PeblzBXzJlSmFt+UM+V7du3x87OTvmMRbfyr7/+mitXrmj2uZUqVaJatWp8/PHHzJo1i8mTJ+Pj44OTk5NmDVd3coTsxJxbt27x119/MWnSJEaNGsW2bdu4ePEikC0wK6g/mZtAV40YlxTmSvJDXgJdMQ9funSJL774Qgp070OqVKkCZM9rYs66du0aiYmJBRJ/qZOAT548yezZsxk7dizHjh0jOTlZ41tAdkdIk8mkxLQcHR2pUaMGNWrUUPb86i594t/i5x9++IHg4OAi/hUkEomkZLnXWZF4jvi/k5MTPj4+OX4nqbioxREl3TEXtDHCsLAw5TFxbwBvb288PDys4jPmV6BrZ2dHWloae/fuZefOnUW+r0QikUgkJYnIVbt27RqDBg3i9u3b2NnZsWfPHhYvXlwoga54fseOHalRo4bGTxRr9s6dO/nmm2+Ux0r67FvcLyoqCjs7uxxxTnd39xIdjyQn6rzNQYMGkZiYSEJCAuPHj+fs2bMFzpkQfmSDBg3Q6/VKzo84M7K1tSUhIYFly5aVWO6RJUQx2vPnzyuPiViVXq/X7MEkEolEIpFIKhIym0BSJjl+/DgfffQRq1atIjw8XJOsI6pMA8rmArRVn0UgWVSK/vHHH1m+fDnp6eml8n4ElgS65h3UQAp0yyPLly9n1qxZAEyZMkURfhUk2UZsmAH+97//sWnTJuBuMGfx4sUcOHBAI3D18vLCzs6u0MEd9Qa/T58+TJs2DWdn51wFuuPHj2fv3r2Fupek5Mmt6m9GRga2trbY2dnx22+/8cEHH5CSklKga99LoCvm5jNnzgDZSbji55IW5gr8/f2ZNGkSnTt3xmQyySTLCkZ+BLrmBQPUVbBLQph7L8yFPTIRpGSxs7OjW7duODs7k5aWphxgFDURI7cOuuYC3aVLl5aZDrqAJiH9yy+/VB6TlD5iTVV3eFA/Xhjq1KnD0KFDeeaZZ+jdu7eSRFwQpEBXIvD398fNzU3TdQ7u7vOhaHNJbgJdyK4KXBoCXXPME+3lml5ydOrUiQkTJtCoUSNAm2h4Pwp0g4KCeOKJJ1ixYoUUQJYCBoOBsWPH8uOPP3L79m1AG79UfxZqsaPYt4g9jPAZr127xtixY7l161a+BLT56aAL2d+NI0eO8MYbbxRaoCuFuRUXYSvPPPMMtWvXVjo8i7U3ISGBNWvWkJqaqtnPqjvLjxo1im+//ZapU6dSr149jcBWHeNXC9BsbGyIi4vj/PnzvPnmm4wdO5aZM2cSEhJCWlqa5vuU37k8N4GusE8pzJUUFEsCXXUX5qysLC5evCgFuvch3t7eODk5kZGRoazttra23L59mwMHDgD5LzIg1tdvvvmGTz75hMWLFwMo85e4jpjHRNzT3d2d1q1b88EHH7B48WI2bdrExo0bWb16NV988QVPP/00zs7Omv27uNaVK1c4fPhwgcYpkUgkZYH8CHThrv+YmprKwoULlXlVxisrNvfqmAsoP7/33ntWF+ZC9t7ql19+Yfv27cpj6iJcHTp0UHxLa3Avga5aTNSrVy9GjRpllftKJBKJRFJS2NracvnyZYKCgpT1Xfh++/fvL5RAV6z9bdu2pXHjxprCVuoupcuWLWP58uXKa0rSlxRj/Pfff5UGFeJxvV5P165dAZnjUVqofc/AwEDFNsVjEyZMKJRAF+4WXx87diyAEqsX9zQajezfv58dO3aQmppq9feVH8R3MCkpCUApzmkwGKhWrRpNmzYtlXFJJBKJRCKRFDcyo0BS5ti/fz+vv/46Bw4cIDk5WdmAqKtIigNmdSVo4cSrk3nEY5UrV6ZTp05Kx8jSJLcOumIDIgW65Y9Vq1bx6aefAuDk5ATAm2++WWCBrrDvd999l/Xr16PT6dDr9WRmZvLnn3/yzz//KN8DGxsbKlWqpHldYbDUQTc3gW5SUhITJkyQAt1yQG6Hi6ILpFqU+NBDDym2VBDyEugaDAaNEEP8uzQ65prj7+/P+PHjmTJlikyyrIDkJ+nCvDOP6PRjZ2fHsmXLSk2YKyl9XFxcGDNmDEFBQYpIwFoV0vMr0F2yZEmpC3Tr1KmjBO379OmjmSuluKx0sJQ4BpCenk5sbKxSgMj88ynoIU7dunWZPHkyL774osX75gcp0JXAXT9RXZxF2FJ8fDxQtP0LWBboClsqSwJdSckj5pO+ffsSFBREQECA8vj9KtDt27cvX3/9NY6OjlIAWcIYDAZefvlldu7cqeyVRYE1Eed0d3fH29ubhg0b0rBhQ+zt7bG3t9cUbwM0PuO1a9cYPXq00iXvXrZbUgLdvIS5IjlECnPLN0ajEWdnZ1588UWcnJwU2xM2cujQIUWErk4Eg2xfICAggGeffZa1a9cyZcoUnnjiCeX55navLtAp9k5Xr15l2bJlvP7664wZM4YjR44QGRkJoElAuhe5CXSlMFdSWKRAV2JOVlYWbm5u1K9fH8gW1xqNRu7cucOvv/4K3J0nc1trhX3ExcVx4MABhg0bxldffaV0s1V39hP/FnOgm5sbrVu3ZtGiRcyZM4fAwEBatWqFh4cHnp6eVKtWjV69evHWW2/x3nvv4e7urtm/29rakp6ezooVK4iMjJTzoEQiKXfc66xI7E8AYmJiWL58uZKXIeOVFRcbGxuioqIICgoiNjZWI8xV+2WdO3cmKCgIgIyMDKuvg9euXWP79u1K4Q5hb7a2tnh4eNCpUyfAusUxchPoCl9E7IO++OILq99bIpFIJJLiJiMjg8mTJxMdHY2Tk5MiVBV73MIKdLOysnBwcOC9996jRo0aGAwGxS9Qx8NXrFjBtm3bgOyc5uJG3CM1NZWLFy8qj4kYfFZWFvXq1QNkAeHSwsbGhsjISAYOHEhsbKxyHiI+p6IKdB999FHatm2r/FvYhI2NDbGxsaxcuZJTp05Z9T3lBzGOnTt3EhYWpnxPxDlQ3bp1cXBwkP6mRCKRSCSSCok8TZOUKXbv3s0rr7xCbGyskrgmNiQiOcZkMlGjRg0aN27MwIEDGTBgAE888QStWrUCsrt82dvbYzQa8fT0ZPz48bRr166U3102eXXQNRfofv/996U5VMk9WLVqFTNmzADubiJTU1Oxt7cH7gp0t27dCuQ/0JGWlkZISAiAIhgTSRanT59WAihZWVmcOHGC8PDwIr8HKdCtWNyr6q95F8hXXnkFKJwAJy+Brvo/uGtnpS3MFQQEBDB8+HBAJllWRPKTdKHuoiuC5mvWrKFNmzbFctAuKT+4ubkxYsQIRo4cqdhBUYW5AltbWyZOnFguBLrOzs48/fTTzJw5E5BzZWkj1tJz587xyy+/MHHiRAYOHEjv3r3p0aMHvXr1on///rzzzjv89ttvXLlyBSjc4V+1atVwdHTU3LegSIHu/Y3JZMLFxUXpvqwusHX58mXi4uKs8nnn1kFXFBeQAt37E/V88txzzzF06ND7XqDr7OysrAdSAFlyZGZmEhQUxP79+xUBrVpA4+fnR2BgIEuWLOHnn39m69atbNq0iTVr1vDJJ5/g7++vJGmo46Jifjt9+jSLFi0iMzMzX+t1cQt07yXMFUXmpDC3fCM+4+bNm1OpUiVNtwgbGxsuXLjAokWLlH+rUdup0WjE3d2dwMBAFixYwIwZM3j66acVexH7dfU1hMBb3O/69evs27ePV155hTfeeIPVq1cTERFh8d65oRbourq6kpmZKYW5kiIhBboSNTY2Nri7u9OxY0cguwufmFP++usvPvroIyB7fhWFNQU6nY7g4GA++OAD3nvvPQ4ePKgUJ1aLeoWfIO7xxBNP8Pbbb/Pdd9/xwAMPKHsz8+KFgCLSffvtt3FxccnRGT02Nlbp6if37RKJpLxxr7MidWH42NhYli1bJgW69wGJiYl4eHjg5OREZmamxeecPXtWydHR6/VWt4V///2XXbt2KXt+sdcxGo3UqVNHyWuy9l7EXKAbGBiIh4cHJpOJZ555Ru6DJBKJRFJu0ev1vP/++/j6+pKamqopkFUUga5YO6tUqcKgQYNwdXXFaDTmKBJ448YNvv/+e/7++28AZV9dnIgx7Ny5k0OHDimPC1/3+eefV87HJKXHkSNHcHBwUIqgmZ/FFEWg6+fnp8SdAE3hS1tbW65cucJnn31GaGio9d5QPhDv8dSpU2RmZirxKxG36tWrF3q9XvqbEolEIpFIKiQ6kzz5lZQR9uzZw0svvQSg6bKjTl7z9/enU6dODBo0CHd3d1xcXJTXGwwGDh48yK5du/jjjz+IjY3F3d2doUOHMnDgQCpXrlzyb+oehIWFsW7dOlasWKEkpFkS0I0ZM4bXX3+9NIcqyYWjR48qwgPRFRTudtBNTU0FYNu2bdSvX/+eCZPi8EUtgDUXVYjnwN2E9G+//dZqXR7V1/j555+ZPn06d+7c0YxBfB9dXV2ZM2cOjz76aJHuKbEueQlzRTK2tbpAqklISOCPP/5g0aJF3LhxQ1PlVy2C1Ol0LFmyhHbt2skkXEmxI2wvJCSEjz/+mOPHjysJZubPc3d3Z8KECQwcOBCQB8+SuwkaCxYsoGbNmkqFdGvZhdFoZPbs2Upyh7qbmFhnXVxcGDVqFH379qVatWpFvmd+EO/PaDSyd+9eTXV2+X0oPdLS0pQOYfv27SM2Nlb5nTigMT+o8ff3p3379owfPx4nJ6fSGDYAUVFRLF68mFWrVgHaPZ7JZEKv19O+fXvef/99atWqJW2tgjFu3Dj++uuvHIKDbdu20aBBA6vdJzk5mWnTpikVqc27TRgMBho2bMg333yDr6+vZj8lqbio55NNmzaxYsUKpQiWen8rEiRq1arFnDlzaN68ubQRSZHJzMxk6NChHD9+XOmUK4SpAIGBgXTp0kVTRNDc7hISEpg1axa7du1S1n71700mE82bN2fmzJnUq1cv32uoeF5GRgZLly5lw4YNGkGj+XejTZs2zJs3Dy8vL00ikxopzL0/+fbbb5k7dy6Q3XUsKysLX19fZs+eTfPmze95DbXdp6amcu7cOZYsWcL58+eJiIjQJCoJ1N8D846RjRs3pnHjxrz00kt4eXnh7u6u/C6v78jNmzfZtGkT8+fPp3v37sybN++er5FI8uL8+fOMGzeOsLAwTYEFMbfa2NjQoEEDJk+ezGOPPQbkXAck5R/xmZ46dYo333yTq1evKnsjdYy+d+/eDBo0iKZNm6LX65XXb9myhRMnTvDTTz/lEPaq50UxF9ra2lKnTh169+7N6NGjc9jcvYiOjmb27Nls3bo1R2GOp556ii+//NIqfxeJRCIpDe51VqQWT3h7ezN8+HBGjhwJSJ+wopLXuaFYZ61tC+L1e/bsYdy4caSmpirxcnEu4+XlxZIlS2jSpEmx2p762jNnziQtLY2pU6fm+J1EIpFIJOWNkydP8sYbbxAZGamss6LAoNjntm/fnpdeeolHHnmkQGve5cuXmTVrFv/++69SYAPQ7L1btmzJyJEj6dKlC1D86+qVK1eYNm0ahw4dUorQiMZHH3/8Mf369Su2e0vyz8aNG1m+fDkXLlwALJ/F+Pn5MWfOnHz7gepY4vjx4/njjz+UvEzzZhUtWrRg9uzZ+Pr6Fu8bVXHkyBHGjh1LQkKCcn4kCifNmTMHPz+/EhuLRCKRSCQSSUkixbmSMsHhw4cZO3YsiYmJuQpzX3zxRZ588kkefvhh5XWi+rg6YJ6ens7Vq1d59913CQgIYPTo0dSuXbtk31AByE2ga2Njg16vJy0tDX9/f7Zs2WIxCU5SeojN8IkTJwgKCiIjIwN7e3tNlfLXX3+dMWPG5PuaIqkxKSmJN954g/3792s25eruEUajkdatW/Ptt9/i4uJilSQeKdAtv9yrY656PrWmMFeQkJDAn3/+ybfffqsR6Jp3K+3Tpw9vv/02np6eRb6nRHIv8iPQVR+0v/jii0qhEHkALcnIyFASI61tD2VdoJvbvyUlS3R0NCtXrmTv3r2cO3dOk8hrqYOdsB3xvIcffpgRI0bQpk0bnJ2dSyXhWwp07z/EZ/j222+zZcsWRawj9kmLFy+mXbt2VrVHSwJdUblaCnTvX6RAV1IaWBLm2traKoXcpk6dSq9evXB1dQUs+1oiLpScnMx3333H+vXriY+Pz9F9EWDChAmMHj26QGO0pkBXCnPvP8T8GBwczKRJk4iMjFQeF7ajjjnl93ri/3FxcSQlJbFo0SI2bdoE5N5ZVMzT5j5wjRo18Pf3Z/DgwbRo0SJf8aeIiAjOnTtXYolzkoqPFOhWXAr6ORkMBt59911+/vnnXM8+q1atire3N/Xr1+fWrVskJCRw5swZZc03jwGI+U7MjXq9nuHDh9OxY0dat25dqHEC/PHHH4wfP165h7hPzZo12bx5M87OznJulEgk5RYp0JUISsMWxN755MmTDB8+nDt37ijru7ifk5OTckbp7OxsvTecC5bei7R1iUQikVQEilOge+jQISZMmEBcXJwmv0Md7wkICGD48OE888wzQPGtr0ajkQ0bNvD5559r8jpNJhNdunTh66+/tvo9JQVD/dn/9NNPrFy50qoCXeFjxsTEMGHCBI4ePZrDHoVAt2XLlsyYMQN/f//ifdPczR/96quv+PHHHzVxe5PJxLBhw3j77beLfQwSiUQikUgkpYWMrElKnZCQED777DMSExOVjbB59eiPP/6YcePGKcJcERAXmwg1er2eRo0asXz5cl577bUyLcwFqF27NgMHDmTo0KHKe7azs8PGxoa0tDQeeOABfvrpJ2xtbS0mIklKD5Ec0bJlS1auXIleryczM1MJ5kycOFER5loSUFhCfAdcXV2ZN28eHTp0UETokJ14ITbRoaGhbNmyhczMTKsk76iTPHv37s3UqVNxdnbWjMFoNGJnZ6d0+N2/f3+R7yspGsIewsLCLHbMLW5hLoC7uzvdu3dn9OjR1KhRQ6n0K+xG/Lx161amTZtGUlKSVe4rkeSFmDMDAgJ47733ePDBB5WKkQLxHYiNjWX58uUsXbpUeVzdiVJy/6HuWGLtAxNbW1smTZrEiBEjADQCBbHOJicns2TJEjZv3kxUVJRV758b5u9TJmKUHjdu3GDChAksX75cEeaqD1DEAYb6MEMk8wghzOHDh5n9f+ydd3hURReH3/QEQjqQQCiht9B7EaRLLyqEroDiJ6KIqCAgokiRJqCiiHRUUBApAiIgVXqvoSVACCGV9Oxu9vuDZ27u3fRk02De5+Fhs3v33tm9szNz5pzfOfPn88cffxAdHV0ggd6lS5dm9OjRDBkyBECp6ANPx+ikpCSOHj3KF198wf379+XY+wwg+lmdOnWU/ghPxza9Xs/58+fNfk1HR0emT59Ojx49lGsJ+1mMqTdu3ODtt9/m3r176Yp8JM8W6vGkX79+DBs2jBo1agBo7FshmLl//z7jx4/n4sWLso9IckRmwtwFCxbg5+enCHMh7bWWSHTl6OjIG2+8QcOGDZXnRVCFWDf+999/xMTEZKu/it+Gra0tI0eO5OWXX6Zs2bJA2r+NkydP8u677xIeHq4JYMpImCv2A6Qw99lD9I/69etTr149zbpN3FdR/TY75xNrXDc3NypUqICNjY3yvNjXUh+vFomrg+CsrKwICgri33//5c033+S9995j6dKlhIeHk5iYCKT4FdS/m7Jly0phrsSsVK9encWLF1O+fHll7DZNsnDz5k3mzZvHwYMHgfSF6JKCRYwZ8fHxQPbuk5izp02bRtWqVTX2sPrx48ePuXLlCtu2bePo0aNcvnxZuZaYSwXqedrZ2RlfX19Wr17Ne++9pwhz1fN5VhCfp3Xr1tSoUUNToddoNPLgwQMiIyPl2CiRSIo0mfmKxBwNT31FK1eulL6iZ5T87gvCdr5+/Tqvv/66RpgLKfZHvXr16Nq1a74Ic0ErCAHt55ZIJBKJpChTt25dvv76a7y8vBTbW+w9Cjv86NGjLF++nOPHj2drbm/WrBlTpkwBUuI7hO0s1glXr15lyZIlbNiwATD/WlKc6/Tp0yxZskRZW4h2+Pj4MHz4cM2xkoJBfe9feeUVhg4dSrVq1YC0fTEBAQGMHz+eK1euZKnfiP7s7u7OiBEjqFSpkqY/isdWVlacP3+ejz/+mDNnzpCUlJQnn1esLU+fPs327dvR6XSadjRs2JCxY8dqjpVIJBKJRCJ51pC7a5ICJSwsjA0bNnD79m0gxSi0trZWgteWLl1K//79NRvRGW0Miw11R0dHJbissKMW6ApBnQheW716Nfb29qkq/UkKB2qB7rp16xSjcsKECbzxxhsASkBmVlELdBctWpSmQFecNyoqip07d3LlyhWzfyZIX6ArNpmio6MZPXq0EkQkyX/UFXP9/PwUYa5Op0uV6CCvhLkCZ2dnunbtmqZAV/149+7dTJ06VQp0JfmCDLqQFFasrKx4//33NQJdsV4oSIGupOC5ffs2I0aM4PTp00oCFnXVGvX8LcYytWBBBPZYWFjg7+/PmjVr2LFjhxJMnN9Ige7zhbAXvLy8MBqNmkBygMjISM1x5iI9ga54LAW6zydSoCvJLzIT5i5dupRu3bpl+Xyi7zo6OjJt2jRKlSqljKfquf7KlStERUVle0zNrUA3MTExQ2GuWkwkhbnPHqL/jR49Gi8vL2WcFdWSY2NjOXnypObYzFDvnU6aNEnpUxYWFprAdTc3N8151X0/OTlZ6b+in504cYKlS5cyatQopk+fzo0bN0hISEj1XjUyIF1iLqRAt+ijTog5fvx4du3aBWT9PllaWmIwGHB0dOSLL76gQoUKmsBgU5+PeF78E4m5xLlEMGNycjJ169blnXfeYfHixTRo0CDNRIRZRbTB1tYWGxsbkpOTlWvZ2NhgZWWVZ4GbEolEkp9IX5FEkF99QS3MHTx4MDExMdjY2Cj2jLhGyZIlGTlypLJnlV+obSIZhySRSCSSZ4n0BLrqPcjsCnTFOqFbt258+eWXgDYBu9hDMBqNBAYGMnPmTBYuXAikzPnm2POxtLTk1q1bfPjhh4SGhmqqAzs4ONCuXTtq1qypua6k4Mhrga64RvPmzRkwYABly5ZNM8m7lZUVly9f5tNPP2XHjh2Eh4cr1zUH4nqXL19m+vTpREZGKr4yo9GIh4cHvXr1wt7eHpBrT4lEIpFIJM8ucgUuKRCE4XD16lX+/fdfEhISFINQXeHxu+++U7LWZ4eiuIAXAl2RvapatWoyeK2IIIzhunXrsnbtWj744ANGjx4NpBZAmganp2dEZybQFdcFOHPmDCtWrCA0NNTsnwnSFuiKf/DUsZTVYDuJeVELc00r5opgxPwS5gqyKtDdtWuXFOhK8g0ZdCEprFhbW6eqoCsFus83AQEBDBkyhMDAQGX9LyroiTnd09OTKlWqUK9ePWrWrImDg4MyzgkxjHhsYWFBQEAAP//8M2fPngUKJkuuFOg+f3h6emJlZYW1tbXGhrl27ZoSUG5u0hLoqiv3SoHu80lRFuhKO7tokBVhbseOHbPdl4Sgx8PDg9atWwMoVcFFIi6dTkdUVFSO2p1TgW5ISAh2dnaAFOY+r4g1XOnSpalQoYLynOgz8fHx/PrrryQkJGQpWaF6j2ry5Mls2bIFeNqn1BUjx48fz/z58xk4cCAODg7KGln0K7VwTeyLiT2oK1eusGXLFgYOHMiUKVP4448/lAAkiSQvkQLdootamPvKK69w4MABNmzYwL59+4Cs3ycxDvr6+jJ9+nQqVqyYyh4W5xHBtOJvYdOrkxT4+PgwaNAgfvrpJ/z8/JSkSObY67e1tdUkSRZt0+v1cl0qkUieGaSvSCLI676QnjBX2DciFgTgww8/pE2bNsp1JRKJRCKR5J60BLqgTe6bHYGu2n7v168fkydPBrQ+b7GXIOLjvv/+ez766CMuXLhAUlKSJvFmVlGvDZKTkzlz5gwjR44kODhY2S8Q169duzYjRozA0dExW9eQ5C35IdB1dHSkT58+9O7dGw8Pj3QFuv7+/ixevJgff/yRu3fvmm0f0sLCgmvXrjF27FhCQkI0/iILCwuaNGlC586dpY9IIpFIJBLJM4+FUe7uSQoIvV7P4MGDOX/+vBJMoxbmzp07l169eimGwvPC7du3OXz4MAMGDJDBa0UM9YZHZn+fP3+eevXqAWTYx8V7oqOjee+99zhy5IgSbAYpwZoAffv2ZerUqRQrVsxsn0kdIPfnn3/y2WefERsbi62trZItXQSaSvKXjIS5+V0xNy2ioqLYvXs3y5YtIygoSBnnxYaPeNy1a1c+//xzSpQokedtkkjEeHvt2jVmzpzJ2bNnNZXpRaAkgIeHB6+99hojR44E8u+3I3k+0ev1LFiwgJ9++glAGcNF5RS9Xo+joyMjR46kX79+lC5duoBbLMkLgoKCeO211wgICFDmdPX9b9GiBS+++CLNmzfH1dUVGxsbkpKSePDgAefOnWPz5s2KABe0WXiNRiMtW7ZU+lhB2ViPHj1i+fLlrFu3DkATZGw0GrG1taVly5ZMmTIFb29vOfYWYRITE+natSshISEaR3OFChXYvHmzJujb3MTExDB9+nS2b98OpAjcxWO9Xk+1atX45ptvKFeu3HO35/C8oh5PNm/ezJo1a7h27RqAxsYW60Fvb28WLlyIr69vgfQR9f7BtWvX8r16iiRrZFWYm1s2b96sBPsAmmCNr7/+mi5duuT43OK3kZSUxIoVK/jtt9948OABkPZvo2nTpvz444/MmzePNWvWAFKY+zxz+PBhRo8erQQOiT0fvV7PxIkTef311zMcP02FuZs3bwZQ+ovY15owYYKSCBHg2LFjnD9/ntWrVxMVFaVJJggp619I+b2IdomAoylTpiiJYySSvOb69euMGzeOwMBAze9FjK2WlpZUqVKFDz74gBdeeAEoOJtNohXm+vn5ERYWpowxDRo0YOTIkbRv3x7I/n26efMmkyZN4uLFi8pzYsxTr//E3KnX67G1tQXgzTffpHnz5jRq1ChH184Io9FIYmIiw4YN0ySpEWPpn3/+qQSOSiQSSVFAPUamtb8ofUXPJqaxGVm5V3nRF9IT5up0Oo3PB2DmzJn0799f0xaJRCKRSCTm48KFC7z77rs8fPhQ45dWx1u2bNmS0aNH06xZs2yt89asWaNU0VWfG7TFierUqUPbtm0ZPnw4Tk5OyjEZzf2mrwUEBHDkyBG+/fZbTcVccZ0yZcrw008/UbFixSy3X5K/qNeOmzZtYu3atdy4cQNI2xdToUIFFi5cSK1atTJd14r+EhYWxvfff8/OnTsJDQ1V9rNM7aPixYtTvnx5Pv74Y5o1a5ZmGzNCfb4nT55w9uxZpk2bxqNHj1L1zapVq/Ldd9/h7e2dsy9OIpFIJBKJpAghxbmSAmPVqlXMnj1bCV6DlCpO7777Lm+99Va+tENcUxjdptWmChIZvPbsoHYGTZo0iS1btigCdMidQFe9ofPKK6/wySefYG9vb7a2mwp0Z86cqVRmWbJkCZ06dcr0M0jMS3rCXBEAXNDCXEFUVBS7du3i+++/1wh0ISUznBToSvIbGXQhKawYDAbmz5+vEeiKqiliXHd0dGTUqFH07dtXCnSfMUJDQxk/fjwnT55M5bBwd3dnypQpNGzYMNV9V49LycnJTJ8+nT179hAZGQmkVNoRr7/55puMHz8+Xz+bKVkR6LZq1YpPPvkEb29vucYsgiQnJ6PT6ejRo4dSoRaerv9KlSrFzz//jKenZ562IS2BrrD31c7Ab7/9Vgp0nyPUY+aWLVtYs2YNV69eBdIX6C5YsIC6devmax9R7x98/PHH/PHHHzIpViEkP4S5ot+dOXOGwYMHa/Z/xDV/+uknmjdvnqvrZFegW7JkSR4/fqy0Qwpzn0+MRiORkZF8/PHHHDx4ULO3bjQaad++PUuWLFEqPpuOoVkV5n7wwQeMGjUKgKSkJEWkBvDgwQN27NjBoUOHOHnypHJt0/UlpFSeTk5Opnv37syfPz8Pvx2JJDVZEehWrVqVCRMmKAJdScEREBDA4MGDCQ0NxcbGhuTkZAwGA5aWltSvX5+RI0fSoUMHIPt+EZ1Ox48//siZM2c4dOhQuse5uLjg6elJv379qF+/PnXr1lVey4s9ymvXruHn50d8fDyAYjuVLFmSbdu2yco7EomkyCBs6sjISIoXL66M41Kg+2wj7snt27dZt24d06ZN0zyfEebsC9kR5s6YMYNXX301y+2USCQSiUSSM/JSoPv777/zySefACl++bQKrlhYWODj48M777xDtWrVqFy5snIOdUyIabIRo9HIX3/9xebNmzl37hwxMTGpYglcXFxYv3695pySwkl+CXTXrVvH1q1bCQoKUvqlOsGluhrvm2++SbNmzWjZsqXynOhfpntepv6es2fPsmfPHv744w8iIiJS9U0PDw/WrFlDpUqVzPMFSiQSiUQikRRypDhXUmCMHz+ev/76SzFKhVCrffv2TJgwIc8MxrQMFWEUmBq46R0vkWQHtWE6bdo0Nm7cqLyWVwLdKVOmYGdnZ7bPYFplaNq0aSxYsIDOnTtn2naJecmoYi5o+0JBCnMF6Ql0ZQVdSUEigy4khZW0BLppVdCVAt1ni8TERJYvX86KFSuIj4/X3O+SJUuyYsUKTYWatNZdajtm4cKFrF69mqSkJOV4YWvVq1ePuXPnUr58+fz7gGmQkUAXwNbWlpo1a/Ltt9/i5uZWUM2U5BDRH8eNG8eePXs0az6AFStW0KpVqzxvh6ygK0mLwi7QVY/nn376Kb/++isADg4OfPXVV1KgW0jIr4q5os9dv36dV199FYPBoNj7APb29vzyyy9mqaycVYGuum1iXJXC3OebFStW8NVXXwFoksYAfPnll/Tr1y/Ve3IizDW1xcXf4lpr167l3Llz/PXXX8oxIoBIBMIZjUZ69erF3Llz0zynRJLXZCbQtbKywtvbmy+++IImTZoUdHOfS4xGIwkJCfTr1487d+5ga2urzO9qIXVOBbrq4EaDwcCxY8cIDg7m4sWL6HQ6jEYjFStWxMPDgzp16lCxYkVNIta8WI+KNm3cuJEZM2YAaCqN169fn19++cWs15RIJJK8Qoxp9+7dY9SoUTRo0IAZM2Zga2ubZhxIdn1FI0aMSHd9Kik40qp637dvX2bNmgVkbf40h98wPWFuWj58KcyVSCQSiSR/SUugK/a4cyvQ3blzJ7NmzSI8PFxZDwi/qNi/FHEfxYoVw8nJiX79+lGrVi1atGiBjY2NJiFhaGgo0dHRbN68mZs3b7J//37lNXWyzOTkZMqWLcsPP/wghblFiPwQ6EZGRvLHH3+wadMmbt26pfhwRN+BlLWphYUFHh4etG/fnp49e1K9evVMYzcvXLjAkSNHWL9+PU+ePCEpKUnpm+I67u7urF69mipVqpjja5NIJBKJRCIpEkhxrqRAOHLkiLJZLQwGo9GI0WjUbETnFTExMVy4cIFLly4RGBjI9evXsbCwICEhgQoVKlCtWjXq169Po0aNKFasWJ62RfL8MH36dH755RcsLCyws7MjISEByBuB7quvvsonn3xiVoGuum3BwcFKtSsZxJ5/FIQw1xz3Vwp0JYURKdCVFFakQPf5QYxD/v7+fPzxx1y+fFlzn93d3fnpp5+oXr16lsYd9TETJkxgx44dGjGiWDMuWLCAbt265e2HywJpCXTh6edITk7WBFBJiiZz5sxh5cqVmoRcRqORJUuW5JvAMCsVdKVAt2ghHLumWZ6zQ2EV6KYnzLWzsyMxMRF7e3vmzZsnBboFTH4Jc9Wos+8DSkCPs7MzGzZsMFvgTVYEuuI3IP6XwtznF9EHdDodr7/+OidPngTQzLHt2rVj5syZuLu7K+8zhzBXjfo1vV7P8ePH+e233zh//jxBQUGKPQVIYa6kUJCWQFeQnJxMxYoVeeutt+jRo0cqAZEk/9i1axdffPEFoaGhmvWhCDDMjUA3u+vJvByv1G0ZPHgwp0+fThWk+eabbzJ+/Pg0RW0SieT5Ja2xrKD3VNTCXD8/P0JDQ3FxcaF79+589NFHUqD7jJKe71yn02V7/Z8bv2FSUhK2trZSmCuRSCQSSSHG3BV01evf48ePs3LlSk6dOqWpbqtG7Ourw/VLly5N8eLFcXd3x9ramvj4eO7cuYPRaOTJkyfKcdbW1hiNRs37a9WqxYIFC6hYsWKuvxtJ/pIfAt2YmBhOnDjBypUrOXnypOY9pvtcwufj6uqKi4sLbdu2pUKFClSsWBFXV1fCwsKIiori+vXrnDhxgoCAAMLDw5XzmSbqrlSpEkuXLpUVcyUSiUQikTx3SHGupED49ddf+fzzz5Xs0GKB36pVK1asWAGYx4FjaoycOHGCI0eO8PfffxMUFKSII9PCwcGB8uXLM2bMGOrUqUO5cuXM1i7J88dnn33Gzz//jI2NDUajEb1erziGoOgIdMVvyjQYU5L3ZORcVAc+Qt4Ic+/du4erqyuOjo45Old6Al3QbkBKga7EXJj2fXMEXUiBriS/0Ov1LFiwQCPQFc4bKdB99pgyZQq//fabJmNpiRIlmDlzJp07d87WeCPGuqioKIYOHcqNGzeUNZsQJnTo0IEFCxZgY2NT4ONYWgJdvV6vCZyS682ih7hnGzZsYMaMGcp9FcLY//3vf4wbNy7f7q0U6BZdcnIvsjpmFjaBbnrCXPH7Ue8frFmzhqZNm5r1+pKskd/CXNFPFy1axA8//ICFhYVmH/Wll15i4cKFZrue+prpCXSFKF4IyqQw9/lG7O0vXryYH374QWO3GI1GHBwcWL58OY0bN9bsAYF5hLnqdqjH5ejoaCIjI/nmm2+4ceMGV65coXv37syfPz/L55RI8pK0BLoi0M7Pz4/+/fvLvdECQj2e7Nu3j8mTJxMZGZnm+jA3Al1T1NXAc5J8JresWbOGL7/8UqnqK9oEsHLlSlq0aJGv7ZFIJIWP9NZP6rExq+/JC9TC3EGDBvH48WPFnnZ0dKRPnz58+OGHmopkanIj0JXJCwqO9HznIvmj0WjU2AFZITd+w6tXrzJ06FBFmCv2CtQJg6QwVyKRSCSSgiUvBbq3bt3in3/+YcOGDQQHByt2vjo+TlxLvQ+QVvi+2j6HlDWI0WjEzc2Nhg0b8tFHHynxzJKiR14KdNXXCAsL44svvmD37t3K8+oCAeJ64pymonJ1dWnT54SfTCR2tbW1xdfXl1mzZlG+fPmcfzkSiUQikUgkRRQpzpXkOwaDgbfffpsDBw4oC3ux4M+rDMyHDh3i+PHj/PjjjxrjQASLiQ16dVCZeN3FxYUmTZowfPhwGjduDMgAcUn2OXXqFK+//jpJSUmaLKnW1tZFTqAryX8yEuaC1qmXF8LcTZs28e233zJu3Dg6d+5M8eLFc3ROKdCV5Bfqvn/y5Enq1auHra1tmr8JKdCVFFZkBd3ng+vXr/PWW2/x8OFDpRKkXq+ne/fuTJo0CQ8Pj2yfU8yny5YtY+nSpUp/EUIaHx8ffvvttxzP5+bm0aNHrFixgjVr1gDQp08fZs+eDchxNj8Q33F6Qqrc3INLly7h5+dHcnKyRkzWo0cP5s2bl9umZwsp0C06mH73iYmJ6PV6Dh06RGhoKJcvXyY+Ph4HBwcsLS1p1KgR3t7e+Pr64uDgkK1rFRaBbmbCXPVeVaVKldiyZYu08QuAgqiYC3Dnzh0GDhxIVFSU0i/FuDV27FjGjh1r9jErKwJdKcyVqAkODubll1/WVJgU/bRp06Z8++23mmRvn3zyCb///juQe2FuRhiNRoKCgrh8+TKdO3c2yzklEnMhBLr37t2TwtxCRlYEuuaooFtYuHXrFrNmzeLw4cOaoEyDwcCLL77I/PnzKVasWAG3UiKRFBSma6fTp0/z4MEDzpw5w/3795WEAnZ2dtSqVYtatWpRs2ZNSpUqlW9tTEuYa2Njg8FgUOw2GxsbXnrpJWbOnJnuWjA7vqJSpUoxfPhwxVckyX8yS2pta2tLYmIiAD/88AMvvPBCls+dXb/hO++8Q5MmTXj11VdlxVyJRCKRSMyIaTyZeJxbLly4wHvvvUdQUFCmAt2mTZtmK4ZZr9fz8OFDpk+fzuXLl4mMjARSxLZiX8F070CdCEwcJ9ba6oSZtWrVolevXvTs2RN3d/dcfxeSgiU/BLqCFStWsH//fk6dOgWQSlir7o/Cjy76vvr3pxbqqmM9y5cvT5s2bRg1ahReXl65+FYkEolEIpFIii5SnCvJd5KTkxk6dCinT59WDEexoF+9ejXNmjXL1fmFsaDT6YiJiWHBggUcOXKEoKAgQFt5TP0egdrQEAaFtbU1ZcuW5ZNPPlE27ouag11ScAhj9cKFCwwZMkQR6KZV8VQKdCWmFLQw948//uDjjz8GoGrVqowePZoOHTqYXaAr5gIp0JXkFnXfX7duHV988QWvvvoqU6ZMwdbWVlbQlRQppED32Wfr1q189NFHAIptBDB//ny6d++eq3NfvnyZ/v37K+eGp/aNlZUVq1atomHDhrk6vzl59OgRCxcuJCEhgUWLFgFyfM0PxHd89+5dfvjhBxwdHWnUqBGlS5fGw8MDb2/vNN+XVeHVjRs36N+/v2L3iPm0efPmrFq1Kt9tainQLVrcv3+foKAgli9fTnBwMP7+/hkeX69ePapWrcrw4cPx8PDA1dU1S/ewoAW62RHmSgFkwVFQwtyYmBi++eYb1q5dC6CMWcnJyZQpU4bffvsNNzc3s18XMhboWllZKQlFZL8sXKjHJSEaU9uzYlzLCzH30qVLWbZsmVJNV1zDy8uLuXPnKkkv80uYm9b75fpSUti4fv06o0ePxsHBQQpzCxnPukBX3b7Zs2ezatUqICXIWQRmTpgwgdGjRxdUMyUSSSEhLCyM/fv3s3//fo4ePUp8fHyGx9etW5f69eszZswYSpQogY2NTZ6Ni+kJc/V6PUajUeNPnTx5MsOGDcvwfFnxFYnjjEYj33//PW3btjX755JkTGbCXHWchNp3nh2y4zd0dXUlLi6OxMTEdNshhbkSiUQikWSOWpya0dpRvJ6bOTU7At2sVNA1bVtCQgL//PMPBw8eZOvWrZoCRuqExurPqhbkqpMfAjg4ONCuXTvGjBlDhQoVsLe3z9HnluSe9PqduJ/Z7ZN5LdBV+yGvXr3K4cOH+eabbzAYDOh0Ok2fVFd4TgvRN9VxS0ajkSZNmjB48GBatWol9zYlEolEIpE810hxriTfiY2NZejQoVy7dg1Ak91pzZo1NG3aNMfnFgZHUFAQe/bsYfv27Vy6dCmVCFj8bSrEVRsYphmoADw9PZk5cyatWrXKcRslzyeib54/f56hQ4dqBLqA5nFOBLrvvvsuR48elQLdZ4z0nIvCqZyfwlxbW1uSkpKoVKkS//vf/2jXrp2m6kl2kALdok9Gfawgncrqa69fv57PP/8cABcXF3r06MGHH34oBbqSIocU6D6bCKfexIkT2blzp8bpUa1aNdauXUuJEiVyHLgmxqvRo0cra0TxnNFo1Kw3CwtPnjzByckJkONqfiC+48DAQF555RWioqIAFBFPyZIl8fb2xsXFhWbNmuHh4UHt2rXx8vJSRN5pnU997xISEhg2bBgXL17UOJmdnZ3Zvn077u7u+X6fsyrQXbx4MRUrVszXtj3PmI51v/32G7///jvXr18nLi5Ok2BArMmEg9vS0hKdTqfcyzJlyuDj48OoUaNo0aJFlq5fUALdjIS5ol9KYW7Bo9frGTp0qEaYa2FhoczleSXMBTh27BgzZszgzp07mn5ma2vLm2++yf/+9788nTPTE+iK9ajsl4WbuLg4LC0tsbe3JzExMdWeoLn7ztGjRxk5cmSqvR14ui85Y8YMpk6dyqZNm4C8FeZKJEWJO3fucPbsWTp16iT3QAsZWRHoqoOBi4pAV92un376iblz5wLaxMZGo5FWrVqxYsWKVO+RSCTPD+Hh4Vy7do3PP/+cR48eKetLkaxI2EaARjwgjvH19aVHjx50794dDw8Ps6/xMhPmqn2o6rVmVsUeafmKRMUzg8FAz549+eqrr8z2eSRZI6fC3Jz0v+z4DSHtfUaQwlyJRCKRSDLDdH588OABAQEB+Pv7c/PmTWWP2sfHh2rVqlGuXDkqV66sHJ9TmzUtga46vhhyJtA1/Ty7d+/m3Llz/Pnnn8TFxREfH59mNWDTSsG2trbodDr8/Pxo3Lgx3bp1y/ZnlOQe0/4VGxuL0WgkJiYGnU6HjY0Nnp6eubpGXgt0TT/DpUuX+Pfff9m5cye3bt3SHCt+C6Z9VNiBYo0LUKdOHVq0aMFbb72Fvb29XOdKJBKJRCJ57pHiXEm+k5iYyIABAxRxLqQE46xdu5YGDRpka1Pa1Hg4e/YsX3zxBffu3ePJkyeaTM/ifxHQaWpIqBHOFfVPxGg0Uq9ePaZPn07NmjWz/+ElzzUZCXQtLCywtraWAl2JQn46FwXpCXNFALI4v4eHB5MmTaJbt245DsqRAt2iSVr9S4h5rKyscHBwSFesk59tUwtzRQBGiRIl6Nu3Lx988AG2trZpnkMKdCWFlbQEusIhJAW6RZsBAwZw/vx5TdXc+vXrs27dOrMIXD7//HPWr1+v/C3GxClTpjBkyJBCGWBbGNv0rJHWOlM4eE0DKSHF4ebk5ISTkxNeXl40atQIDw8PGjVqhIuLC87OzhQrVizVtd566y3279+vSZhlb2/Pjh07cu2ozClpCXSFQxGeioTeeOMN3n///QJp3/OGOhP6wYMH2bVrF1u2bFFeNxUJpIUQsRqNRqXfOjo68u2339K4ceMsrdHyW6ArK+YWDXQ6Ha+99hqnTp1S7GJ1ksHZs2fTp08fwHzzl+gbjx8/5r333uP06dNK3xR9ws3NjSVLltCoUSMATaC4WthtDkwFulu2bCEwMFD2y0KAaZ+7d+8eISEh/PXXX4SGhnL58mUSExNxcHBQxpKqVavSqFEjfH19NQnXzNV/1WtP0Q+Tk5NxcXHBx8eHM2fOAFKYK5GYIvt94eVZrqBrun+qXnOXLVuWjz/+mE6dOhXqzyCRSPKOkydPsn37drZv305sbGym1ZTUidHV9rmHhwctWrTgnXfeoXz58mZrX06FuVmdc9PyFak/f+/evZkzZ062zinJPRkltQby1Heent9QfZxA3f+kMFcikUgkkowRc21kZCQXL15k+/btnD59mvv376f7Hnd3d5o1a0aPHj2oX78+bm5uOZ5n80qgq/5sgkePHnH58mUOHDhASEgIly5dwmg0EhcXh06nw8HBAUtLS8qXL4+zszPdu3enSpUq+Pr6pntOSd4h+pROp8NoNLJ161bu3r3L3r17iY2NJTExkfj4eOzt7alatSru7u707dsXHx8fKlWqpJwnq/csrwW6phiNRuLj49m6dSvXr19n165dJCQkkJCQkOH7SpcujZeXF/369aNhw4ZUqVIlW59TIpFIJBKJ5FlGinMl+U5iYiIjRozg7Nmzmqw6BoOB//3vf4wbNy7Li3X1cWfPnuXQoUP8+OOPJCUlaYQ06m4uNuXF8+XLl6dEiRKUL1+eqKgooqOjNZV9TJ3SDg4ODB48mLFjx2JnZyeNCkm2kAJdSVYoSOcipBbmimuJ6rkAf/75J9WqVcvxZwQp0C2qPHr0iIMHD3L+/Hnu3r3L3bt3FaGNg4MDFStW5IUXXqBWrVrUqFEjX9qUkTBXBNCLvjxq1Cg++OCDdM+VHYGul5cXAwYMYMyYMXn8CSWSrAt0R48eTZ8+faRAt5Ajsqn27t2bhw8fap7v0KED33zzTa4cGOK9mzZtYurUqcq8KoKGBw8ezNSpU6WT5DlEXTHXz88vVQIYdYC5OFYkthLHqXFwcMDW1hYfHx98fHwoW7YszZs3x9HRkRo1arB8+XK+/fZbxZEnxqvvvvuOF198scCC0kwFujY2NhgMBpKTk+nTpw+zZ8/O9zY9jwhb1mAwsHTpUvbu3Yu/vz+AJghCBPcaDAbN/JdWsjXRx3x8fPj666+zZbPkRKC7cOFCfH19szWeSmFu0cBoNOLn58e5c+ews7NTAjDEvTYajbz//vv0798fd3d3s1xT3GOj0ciYMWP4999/NUkHRR9csGCBJkt+ZmOpun/mZO5XC3QXL17MrVu3WLRokeyXhYRjx45x6dIl1qxZQ0JCAtHR0ZrX1YFk8HTuLlOmDK+++ir169enXr16uW6D6Fd79uxh6tSpxMTEKH3W1P0khbkSiaSo8SxU0DVtQ3oVc+GpbdSvXz/Gjx+Ps7NzvrdVIpEUPNu2bWPlypX4+/uj0+kUW9V0LFMLctW2knhN7CcBjBgxgokTJ6ZK7poTMhLmgtaHmpu1ptpX9OWXX3L27Fl0Oh29evVSxlC5fs0/MkpqDVp/trl854KsCHTVawLxeObMmfTv399s7ZBIJBKJ5FkkNjaW69evM3PmTB49ekRoaKji+xG+O4GVlRU6nU553cPDAx8fH6ZNm0bVqlVz3Ia0BLqQkowLci7QFaS1FhAxAuHh4RgMBhwdHbG0tKRMmTLpFhyQ5C8PHjxg3bp1nDt3jrNnzyrPm8b4ij7p4OBAiRIlePPNN3nhhRcoV64ckPW1YH4KdNW+SoC7d+/y5MkTLly4wN27d9HpdDx58oSkpCQ8PT0pXbo0rq6utG3blmLFiuVJ8k+JRCKRSCSSoo4U50oKhPnz57NixQrFKSM2qV988UW+++47IGOjxPS1lStXsm3bNm7cuKEEhakFteJYEbRpbW3NSy+9RP369enVqxeOjo4aA2Hr1q3s27ePf/75R3M+YdiULl2adevWUa5cOWlcSLJNegJd4TCSAt3nm8ImzBVjqeiXDg4OrFmzBl9fX7M4EtMT6ELK5pXRaKRbt2589tlnUqBbgPz7778cPXqU7du3ExYWBmiDfNWOb4CyZcvStGlTxowZQ6lSpXBwcMiTOTOzirkWFhbY2NiQlJSEs7Mzv/76KxUrVszwnFkR6ArBhLOzMxs3bqRChQpm/VwSSVqkJdBVV0oTVaIHDhzIqFGjZBBlIcZgMBAeHk6PHj2IiorS2CsvvPACP/zwg1nm2XPnzjFkyJBUlf769u3LrFmzzPFRJEWQ27dvM3jwYCIiInBwcCAhIUGz7jJNcCUQ86BaKCbmQzUODg4kJyfTrl07Hjx4wOXLl1MFqInqzWlh6gzMK9QCXdEuGWCZf4j7rNfrmTBhAv/++69GxA0p90BUIhPBGOmJydXr0VmzZtG3b99styuvBboZCXPVFU+lMLfgiYmJYfny5fz4449pCsPF4//9738MGTIENze3XF1PfY/ffvtt/vnnn1T7mQA9e/Zk8ODBXLt2jRMnThAbG6sEozs5OWFjY0OVKlUoWbIkZcqUwdfXFwsLC0qWLKm5nujr2Q0KSUpKwsrKSvn9yn5ZMOh0OsLCwvjhhx/YvXu3xkZXz+HqMUuMLWKsFEknX3vtNfr374+3t3eu26XX63nttdc4efKkZswUbVHbLSCFuRKJpOhQWAS6Dx8+xMHBAWdn5xwlhrlz5w6bNm3KcF+pTp06LFmyBC8vr1y3VyKRFD3Wr1/PV199pbHPha0qxgnT5C/CPjddy4k4kFq1ajF79uxcJ/yF/BPmCtS+og8++ABfX19lT1WuX/OPghTmCjLzG5ruqXbu3JnFixcDT+03Gxsbs7RDIpFIJJJniXPnzrF7925+++03oqOjNcmmxZ64en9Rve4UzxuNRpydnZkxYwatWrXSCAazQ15W0FWTnf0Bud4sOAIDAzlz5gxz584lPDwcSNljNxqNmrgLtf9cvAbQrl07unXrpsT9FkaBbnbaldv3SCQSiUQikTwPSHGupEDYuHEj06ZNA1IypwrDZOLEiYwcORLQLuRNjdP4+HiOHDnC9u3b2bVrl/K82igW7xXOn1KlSlGpUiXeeecdfH19NVmmROZXcY1bt26xdetWfvrpJ8XRJKr86vV6evfuzaxZs6ShIckRGVXQBa0TSQp0nx/Sq2RW0BVzRd+0t7dnzZo11K1b16wbLZlV0IWn/btFixZ899132Nvbm+W6kswxGo34+/uzbds2li9frsyxpkkrIEWwI/qp2DCvUaMGnTt35uWXX6ZUqVJm7TsZCXNNheWurq6sW7eOypUrZ0n0k5GjXZ1EYcmSJXTq1Mksn0ciyQp6vZ4FCxakCqS0srLCwsICvV7PK6+8ovweJIUXg8FA9+7dCQgIUJ4zGo2UKlWKTZs2maX68cWLF/Hz81PGLyEmeumll1i4cKF0nDyHxMfHM3nyZP766y8cHByIj4/XvC7GErUYUmC6faR2OqoFXmrHo9pRrhZPVqpUiRdeeAE3NzcaNWqEo6Mj5cqVo1ixYmm2O68EYGqBrhTm5h9qkd/IkSMVEZe6j4i+U6ZMGZydnencuTOlSpXCw8MDnU5HbGwsp06dwt/fnytXrpCUlKScv3fv3nz55ZeKSC2nVULBvAJdKcwtekRFRfHrr7+yYMECQFvRWW0zv/322wwePDjHAl31PX7nnXf4+++/Nbawuk95eHjw+PHjLJ/bw8MDe3t7WrZsSalSpWjRogVlypTB09NTc96sjHu5rcArMQ8RERFs27aNv/76i7NnzyrjZXoiCfFYjbqSmYODA3PmzKFDhw65So4h+tDBgweZOHEiUVFRmv4C2r0mKcyVSCRFjYIW6D5+/Jhvv/2WmzdvMnjwYJo0aYK7u7vGDjOt4Kf++9dff2X//v0cOHAASHv/tEyZMqxYsQIfH58ct1MikRRd1FW1TROzqdeZlSpVwt3dHR8fH2xsbIiNjeXEiRPodDoeP36s8fFVqVKFiRMn0rp161wnYstImGtqo5lzrSnG04cPHyqJC+T6Nf8oiKTW6ZEdgW7p0qUZNmxYmnFPEolEIpFI4K+//mL16tWKf0dtowrE3Crm17TsapGoH2Dp0qV07Ngxx226cOEC7777Lg8fPsyzCrqSws/hw4fZuHEjhw8fJi4uLlV8nOm+u+ljtV1Svnx5XnrpJcaPH5+tNuS3QFdNRvtX0i8kkUgkEolEkjFSnCspEKKiohg9ejQXLlxIZZjY2try0UcfMXjw4DTfGxkZycOHD1mwYAE3btzg0aNHgDZATh14LmjUqBGvvfYadevWpVSpUprN8fQc1oGBgXz//fds2bIllZFfr149Vq9eLcWNkhwjK+hK1Ij7eufOHYYNG6Y4lUUfUFMQFXPt7e1Zu3at2SrmmpKeQNfS0lIRm7Vv355vv/3WrNeVpE9ycjLr1q1jz549nDp1CkipwiP+pYU6K6AIwHB3d6devXpMmjSJcuXKma19GVXMhRRhuYuLCxs2bKBSpUrZqsaXlqPdaDQqvw/15r7chJTkJ6YVdG1tbdHr9SQnJ9OnTx9mz54NyH5Z2ElOTmbgwIEam8jKygpHR0cWL15Ms2bNcl1B9M6dOwwcOJDo6GhNMF27du1YtmxZvlUolRQejEYjT5484cmTJ0RHR3P9+nWuXr3Ko0ePOHPmDElJSURFRWneo7ab1RVT0qvMZ2prmybzMF1DiEq7Pj4+lCxZEi8vLxo3boybmxt16tTByckpzbWnOH9u16YxMTH8+eefDBo0CJDBcnmNGHcSExMZNmwY58+fV+wPtb3q6enJiy++yMCBA/Hy8sLJySnVuUQf2LlzJxcvXmTlypW4u7szYcIE+vXrl6t2mlugm5EwVyS2kcLcwklUVBS//PILCxcuBLT2hjkEuup7PHbsWPbu3aupHm0qiBVYW1trEiiI14UNbfqbEhQvXhwLCwtq165NrVq1qF69Os2bN8fW1jZV29PbO5UUHMHBwcydO5fjx48TFhamydavnndNk2ykVXVC9I9q1aqxbNkyypQpY5Y23rt3jzfeeIM7d+5ofiPqNUBeB81LJBJJXlFQAt34+Hj+/PNPvv76a8LDwylTpgy+vr6MGDECX1/fdNeLQUFB3L59m5UrV3L69GmlEqZ6/1/MB87OzmzYsIHKlStnu30SiaTos3r1aqUibFpjhIODA1WrVqVPnz506dIFd3d3zfvDwsIICwtj6dKlnD9/nkePHuHp6cnbb79N9+7d003GllXyu2JuRkj7KP8oDBVzTclMoCuOgafJsl577TUp0JVIJBKJxIQNGzYwf/584uLiFP+46Z6lOhGhel9RHGuaeLJq1ap8/fXXVKpUKVdtS0ugmxcVdCWFk99//12JW1QXcwJS+UrU++2me/Rq+6R169YsWLAgTT9nRhSkQFcikUgkEolEkjOkOFdSICQlJTF79mw2bNigcfCog3aHDh1K27ZtqVWrFtbW1kRERHD27Fl27drF2bNnlez7pkY6aB0wtWvXpnXr1tnOQCTYv38/7733HomJiRpDCnKfcUvybKAOss2uwCGjCrqm1Rm/+uorevbsCUiB7rNKTEwMfn5++Pv7Y2dnp6n+BE/HyFq1avHbb78B2e9vagpDxVxTTAW6NjY2GAwGKTYrAPR6PZ999hn79+8nNDQUSOkb4rs3Fd+onxOoq38BzJ49mz59+uS6ffkhzBWoHe2zZ8/mv//+A6QwV1LwmFbQBWTVxyKEuD+zZ89m1apVGpvIaDTSqVMnlixZovyd0zHm0aNH9O3bl/DwcCBlnFafX/J8kla/ioqKQq/Xc/78ee7du8ft27e5ePEiOp2OO3fuKA5oNWlV2s1ofWCaxEMtIjKt+AdQqlQpSpQoQeXKlalTpw7u7u7Ur18fBwcHPDw8sLW1TfPz5VTQKMfOvEV8v3q9ntdee42TJ08qAkP1mnHgwIG8+OKLtG3bVnlvWmJs07XdsWPHuH37drrJ3nLaXngq0F29ejXXrl0DsifQlcLcok96Al3TIIvsCnQzqphrOp6aCnTTsr3Sq3AuBLvJyclKe9XHOzk54erqSsuWLfHw8OCFF17A1dUVb2/vnH5lkjzg3r17vP3220oAjrC3RUIzQbFixZRKTYmJicTHxxMTE6M5RtjLVlZW/PDDD7Rq1cqsdu3vv//OJ598orRT3Zc7d+7M4sWLATnvSiSSoklWBLoiMVZuBbrqquSTJ08mNDRUs/8J0KlTJ6pVq0bNmjVxc3MjJiaGO3fu8PjxY3bu3ElMTAxPnjxR7K201rFlypRh+fLlUpgrkTynbNq0ialTpwJpC3NdXFx4/fXXadeuHdWqVVPep9PpsLGxSbWm27p1K4cPH8bLy4sRI0ZkO4GRKeL8+V0xV1KwZFQx1/S+53fyn8wEuuqYJynQlUgkEolEy8qVK5kzZw6ApiquaRGeUqVK4ebmhpubG46Ojty6dYvY2FiCg4OVY8R6oGrVqkyaNIkWLVqYZX9TVtB9Plm7di2zZs1S1nFi/8Q07g2e7q+LvRX188LnKXzfNWvW5LPPPqNu3bo5apMU6EokEolEIpEULaQ4V1JghIaG8sorr2RoyJYoUYLixYtja2tLUlJSKgPbNHDX1FAfPXo07du3p0GDBkD2hGxqB/n777/Pzp07NWJgo9HIjBkzePnll3P+JUiKJKbGa2JiIjY2NoqQ0t7eXnktK30uI4EuoHmcFwLd3r1789lnn2naLSkYIiMj+e2331i/fj0PHz7UJB5QT9d9+/blk08+wdHRMUfXyW7F3PwQ5gqEQPeHH37gwYMHgBSb5Td6vZ6xY8dy4MAB5bn0xg816uBucY/UG5RDhgzh3XffpUSJErlqX34KcwXiN3P58mU+//xzRo0aJYW5kkKBwWBgwYIFrFixgu7duzN//nxAjpVFid27d/Puu+8CKQ5IeDqmTZo0CT8/PyDnY01wcDD9+/cnLCwMSBFEClGEHMMkarGMcH6rSUpKQq/Xc+3aNaXS7rVr1wgNDeXixYskJyeTmJioeY+wl8X51Im00quwCynrDbXw0jTwHJ6KyKysrKhSpQplypTB09OTRo0a4eTkRI0aNdK1a9SZi2W/z3/E924wGHjnnXfYt2+f4qS2srJSbN4ZM2bQpUsXnJ2dgazNaWnd04zel511ofo8mzdvZs2aNdkS6Or1emxsbAApzC3qmLuCbmbCXIE68YFpYoPk5GTFjjcV76Yl3FX/L86Vln3n7OyMpaUlpUqVYtCgQQwYMCDH35vEPNy6dYvhw4cTGhqq7BWZ3rsWLVpQvnx5evfujZOTEx4eHuh0OpKSkrh+/TqnT5/m+PHjXL16VRFnvfLKK0yaNAk7OzuzzI2ifwUEBDBhwgQuX76s7NeL/temTRsWLlxIsWLFNOtfiUQiKUrkp0D35s2bvPnmmzx48CBN0ZzaphLra9O1hGm71UmIq1Wrxtdff42Pj08uvxWJRFIUOXDgANOnTyc4OFjjkxQ+Qg8PD+bNm0fDhg2VBGnpjWFq+zkkJAQHB4dc+4MEISEh9OzZk6ioKCnMfQ4ojBVzTZECXYlEIpFIss+qVauUogxpVcu1s7OjbNmy9O3blzZt2lCpUiVlDRoeHo7BYGDDhg1cvHiRw4cPA1ChQgXGjBlD165dcXBwMFtbZQXd54sff/yRefPmARnHx3Xp0gVPT0+aNGmCnZ2d4ju/desW//zzj8Yv4+Pjw/jx43nxxRcVP2FOkAJdiUQikUgkkqKDFOdKCgQRCLl//34mTZpEZGRkmgJdtUErHptWlRJGhjCGSpQoQY0aNRg+fLimqm1OjA0RKPfNN9+wZMkSZWNAGDMDBgzgs88+k8G9zwmm9/nIkSP4+/uzY8cOoqOjSUpKwtXVlRdffJE6derQrl27LJ87M4Gu2slkLoGunZ0dCQkJwNMqQDVr1sz2dyIxPxEREezYsYNly5Zpgi5Bu+nTt29fpk6dSrFixbJ1/syEuUajMd8r5poSFRXF7t27+fzzz3nxxRdlRZV8RK/XM2LECE6dOqXpe6ZBW87OzjRo0IBatWrh7u4OQGxsLIcOHSIkJISAgADNHN69e3fefvttKlWqlKv2ZSbMVVccN5cwVyB+OzExMYowXs7/ksKAXq9n9+7ddO/eHZBjZVEjKCiI8ePHc/78ec06zWg00rRpU0aPHk2bNm1ydG6j0ciDBw8YOHAg4eHhGptJiLnNMT5Knj3SqlCaFg8ePCAhIYGzZ88SEBDA7du3uXLlCgaDgZCQEM2x6rWmqYAMUlfXNZ1jTdclapGPOL9er6dChQq4urpSqVIl6tevj7u7O3Xr1sXe3h5HR0fNOeU8nn+o+9TMmTNZv369MuaJtRvAt99+S/v27fO0Lep+vX//fpo1a5apTZUbga7AVJgr+rAU5hYtzCXQVd/jsWPHsnfvXmU+FiIe0Ip0bW1tKVmyJAkJCdjY2BATE0NsbKwm4Fcg+phpRXNT1M+r/7e2tiYxMZG6deuyZs0amcytgLl79y6DBg0iPDxcubdiTefg4ECdOnXo3bs3vXr1wsbGJsO5LSgoiOvXr/PNN98QFxfH2LFj6datW560e9asWaxevTrV3Aswc+ZM+vfvnyfXlUgkkrTIyLZRv5YdGyG/BLqfffYZP//8MzY2Nspeq/BTimuIv9XiW9EO9T6DsKuMRiOurq40adKEiRMnUq5cuSx9ZolE8mxx+/ZtvvrqKw4ePKhJ+CPWmiVLlmTFihWaarmZkVd7LeHh4QwfPhx/f/9UsSEghbnPEkVBmCuQAl2JRCKRSLLOL7/8wvTp0wHSTDzl7OzM4MGDadeunabKqOmcmZycTFRUFL/++iurV69myJAhDB48GBcXF7O3WQp0nw/Wrl3LzJkzgbT7ZvHixWnbti1dunShS5cuaZ5Dr9dz/vx5VqxYwalTp7CwsOCdd96hT58+OS68okYKdCUSiUQikUiKBlKcKylQYmJi2Lx5M9988w1RUVFpVsM1DdAVjyF1dqIKFSowevRoGjduTMWKFXPdPmGc7N27l7Fjx2rEP0ajUVPNUfJsI/pCXFwc169fZ8OGDezdu5f4+Pg0jy9RogRt2rThnXfeoWzZskomt6xcIz8q6KorEy1ZsoROnTpl+zuR5B3h4eHs3LkzlUDXNAt0dgW6GQlzTYWNBSXMFURERHD9+nWaN28OSCdlfqDX6xk9ejTHjh1TqiyoqzMZjUZ8fHyoX78+o0ePxtvbO9XYFhMTQ0JCAosXL+b48eMEBATQrFkz3nnnHRo3bpyr9hVExVyJpKghx8qiyfz581m+fLly74TwEODll19m0qRJFC9ePEfnvn//Pi+//DKRkZFAStDuq6++yowZM8zSfsnzham41tQOiY6OJj4+ngsXLhAREcGtW7c4evQoN27c0ASNq9cXotKuQB1ontF11UHnkH6lXXd3dxwcHKhZsybly5cHngrnspvkRpJ7/vjjD5YuXcr9+/exsLDQ7OksW7aMdu3a5aloWj1Pfvfdd3z99df06dOHTz/9NNOM6jkR6C5dupQaNWowbdo0Nm7cCMiKuc8CuRXoZkWYK9YCZcqUwdvbmwEDBlC6dGkqVqyoHBMaGsqTJ08ICwvjzJkzREZGcuHCBR4/fqzsVamr46Y1zppW01ULxn19fVm3bp3slwXM/fv3GTZsGEFBQUqFMDF2uri48NZbb9GqVSuqVKmivCcr1cRDQkJ48OABDRo0MHubxbVCQkIYOXIk/v7+Sj8Tv5H69euzYMECypQpY/brSyQSiZq0xsSoqCgMBgM6nU6xtU0DJbO6v5IVga468VFOBbqTJ09m8+bNyt8iENg0sZGpD1U9x6s/W7Vq1ejatSuvvvoqHh4emV5fIpE8W4gx6ddff2X27NnEx8enErx6eHiwbt06KlasWOB7zsLHExYWxrvvvsupU6c0PnMpzH12SE+YK+xs9T6SuYS5ue0zUqArkUgkEknm7N27l2nTphEeHp5mgQp3d3dmz55Nw4YNFTs9LXvZ9LmrV69SunTpdJNkmoMLFy7w3nvvERQUlKlAt2nTpjI2qYjxxx9/8Mknn6QqGCX6pqurKxMmTKB58+Z4e3sDpLnfI/rmo0ePOHToEDExMXTv3p2SJUuara1SoCuRSCQSiURS+JHiXEmuMM0oDWlXucmIsLAw/vrrL7755hsiIiI0gYqmlR9MA3kEtWrVokGDBowbNw5nZ2fleXMFdW7evJnJkycr1xcbBQMHDuTTTz/N9fklhRvh9AsNDWXVqlX8+++/SmAZoNlwEca56L++vr6MHDmSNm3aZElUkR2B7ty5c+nVqxeQdYHue++9x5EjR5TX1MJcWTmqcJGeQBdyVkG3MFTMzWkfk5tEeY/BYGDChAns2rVLCdw2Fea2bt2aIUOG0LhxYxwdHZX7og4gV9/jPXv2cOHCBWrUqEGPHj3M1lYpzJVIJM8KYhyNjY1l+PDhXLp0SVlXOjg4UKlSJWbMmEHt2rVzfI0HDx7Qr18/oqKigBR7asiQIUyZMsVcH0XynCP6cnprtn/++Yd3330XQFl3wtOAtNjYWIBUSY/Eb8Ha2hqj0aisg9PawkovkZdYz6gF7wDdunVjwYIFuf3Ykiwi7kFAQABffPEFhw4dArTruPnz59O9e/d8E+YuW7aMRYsWKa/169ePqVOnml2gW758eWrUqMGePXsAWTH3WSItga7pvhCkFujqdDpsbGwAeOedd/j7778Ve0XdvwwGA40bN2bcuHFUqVIly8FF4eHhxMfHc+XKFc6dO0dgYCDHjx/HwsJCWQsITKvryn5Z+AgODuZ///sfV65cUe6XSKjm4eHBokWLqF+/vnJ/sjqGmh6X0Z6L+v5nd4yOi4tj+vTp/Pnnn6kSXpYoUYKlS5fSrFkzuecjkUjMjum4cvXqVfz9/Tlw4AAhISHcuXMHnU6HpaUl1tbWWFtbU7t2bby9venUqRPly5enVKlS6Z7PlLysoKseh5ctW8aePXu4cuUKgCa5ovo8mSU57tSpE2+88QaVK1eWCYskkucYdUI/4X8U44Wbmxvfffcd9erVKzQ+FrVAd/z48Zw4cQKQwtxniYwq5pomeDOXMNd0Dre3t6dp06bZtoGlQFcikUgkkvS5du0ac+bM4fjx45rkvGJuL1myJMuXL6dGjRpZPmd+xzdKge6zybFjx5g5cyY3b97U7OGo9+C//vprGjVqlK3z6nQ6jEZjlgr5ZBcp0JVIJBKJRCIp3EhxriRbmFZUSOs1NVld1MfGxnLx4kU+/fRTAgMDNecyrR4hAnOtrKwoVaoUPXv2pHfv3pQrVw5bW1uzOonEudasWcOsWbOUjQEZ1P78IPpAUFAQn3zyCefOnSM+Pj5VtSeB6LfqvlqlShUGDx5Mjx49KFGiRKabROkJdNWVWHIq0I2JieHNN9/k9OnTLF26lI4dO2b6XknBYa4KuoWhYq46kCgiIgJXV1eznFeSe4xGI4sXL+ann35SNgkBzRj30ksvMW3aNOW+ZTRmqPtNdHQ0JUqUyPQ9WWXPnj2MGzcOSFtYLoW5EomkqCHG3D/++IMlS5YQFBSEu7s7rVu35q233sp1dYpr167h5+dHYmKipvrF2LFjGTt2bI7GZtPxVa4jJZlx/vx5BgwYAGgrOI0aNYoRI0YQFBTE4cOHCQ8P58KFC4SEhBATE0NMTIzmPGrBblpB6AJT+0xtm/Xq1Yu5c+em+T5J3rJ06VKWLl0KaIW548ePZ/To0XnqEE5PmGtnZ0diYiKQdwJdgRTmPnukJ9A1tdeFQNfZ2VmZP00r5poKc1u3bs2iRYtSVfFLD3UiAlMbKCgoiCdPnvDvv/8SEhLC8ePHCQ0NJTIyUnOcvb09CQkJ1K1bl7Vr18p+WcBERUXx2WefsXPnzlRVzEqWLMmaNWvw8fHJ0zao7//ChQtp0aIFTZo0yZadffXqVQYOHEhiYqLyOYRArX79+vz4449Z7ucSiUSSGabr+82bN3Pu3Dk2bdqkvK4OnBU+F7Xf08HBAUdHR4YOHUrdunVp3rx5tq9tboGuen4/efIk//33H8uXLyc5OVkZq0VldXE9vV6vSfQK0L17dxo1asSgQYOy87VKJJJnkKSkJBYsWMCqVas0tmpycjKOjo5Mnz6dHj165FsCray+pk6m/frrr9OjRw/eeOONTM8nKfwURMVcdf/eunUrH330ERUqVODzzz+nYcOGUqArkUgkEkkuEfPbihUrWLJkCQkJCan2OT08PFi3bh0VK1Ys9D47KdB9tggJCWHhwoVs27ZNs2ZT78GvXr2aSpUqFXBLUyMFuhKJRCKRSCSFFynOleSImJgYHj16xP79+7lz5w5hYWFERERQunRpqlWrho+PD+3atcPe3j5bxmZ4eDi//vorZ8+e5ciRI5rqNoLy5cvj7u6On58fVatWpWbNmspreWGoJyUlMXr0aI4fP64IlYSze9KkSQwfPrzQbxBIcoZw8t27d4/Ro0dz9+5d4Knxqg4qF8+p/xbBZqJaU4UKFfDz86Nv3744OzvnWKBrrgq6N27cUDJ7yf5buMltBd3CUDFXBAkZjUbGjBlDjRo1GDx4sKYCgaTgOHDgAPPnz8ff3x9IEbEI0Uvfvn2ZNWtWAbfyKY8fP2bs2LGcP39eGWOFsFwKcyUSSVEmPDycL774ghs3btCtWzf69+9P6dKlc71OO3fuHIMHD1aC7MTa4ZNPPmHo0KHZPp96Tl+7di1dunQxSzslzy7JyckEBwfTt29foqOjNfaSj48P69ev11SEjIuLIyEhgaCgIK5fv054eDj//fcfERER3L17l7i4OOVYdVUodQVIIcTNSJgrnY/5y3///cfYsWOJiYnR2CEdOnRg4sSJVKxYMc+unZ4wV+zrqEWU5hbomu4XSGHus0dWK+iOGTOGt956Czs7u0wr5rZt25bvv/8+1WvZQbwvrfk5PDycpKQkzpw5w+XLl7l+/Tpnz54lNjYWHx8f/vjjD9kvC5ikpCR+++03li1bRkhIiGYN5+HhwerVq6lcuXKe2r3q+//BBx+wfft26tSpw+TJk6lXr16Wrms0GjEYDHz66ads2bJFEZCLfVVXV1c+++wzOnbsKOdliUSSa8Q4IhIBr1mzhn379imv29jYKHO08NmoExGLvVAx3oo14rRp07IsZs2KQFcERmZXoGs6Tl68eJHz58/z119/ERwczIMHD1K9x9XVFS8vL1q2bEnr1q1p2LChUrVFjrsSyfNNTEwMr7/+OhcuXEhlr77yyiu89dZbeea/S2v8SUhIUIQNaVWXUo+PYg2ckJCAvb19uueUFB0yEuaaJr/KC2Gu2ncOULVqVaZMmULjxo2zbW9Jga5EIpFIJE8Rc+KtW7cYNGgQUVFRSqybsLvd3d1ZtmwZvr6+RSa+Rwp0iz5izXXgwAEmTJhAbGxsmqLxVatWUaVKlULbN6VAVyKRSCQSiaRwIsW5kkwxdQhv3bqVv/76ixMnTiiBseqgWEHFihVp27YtXbp0oWHDhumeTyCMGfH6xYsXiYiI4N69exgMBkqWLImzszP169fHysoKOzs75b15YTSIc4aEhDBixAhu376t+Zz29vasX7+e2rVrm/W6ksKBWpg7ePBgQkJC0gz4TgvRj9UBHkajkXLlyjFw4EBefvnlAhfoCqSQomiQU4Guemws6Iq5RqORESNGcPz4cZydnRk5ciS9e/emdOnSZrmOJOdMmjSJLVu2AE836cTmnNFopEePHsybNw8oeMewGL/Cw8MZN24cp06dwtbWlqSkJCnMlUgkzwRBQUHcuXMHX19fnJyczLJOu3DhgiLOFWJFo9HI1KlTGTx4cLbOpZ7TBw0axNmzZxk6dChvvvkmHh4ecl0pyZCXX36ZS5cuaZ5zdnZm8+bNlC1bVllnpLXe0Ol02NjYEBgYyL179wgMDOTkyZNERUVx7do1RdBrWjFXrJmlMLfgEN/13LlzWbNmjTIOiQCMzz//nL59++b59SFtYa5pJmyA/v37M2XKlFwLdIW9JsZdS0tLKcx9RklLoCv6l7pvvfPOO1y4cIF///1XsVfUtoupMNfcdo2Yp9MaAx89ekRQUBC1a9fG1tZW9ssCQtyju3fv8tFHH3H+/HlNP3JxceGbb76hUaNGeTqXqe//hAkT2LFjh9Kva9euzeTJk5X9+aywbds2Jk6cCKQEBok5u3fv3syZMydPPodEInl+UPvyVqxYwZEjR7h582aqJKvpJVpVi3QhpcKtt7c3s2fPpnHjxlluS15W0E2PqKgobt26RXx8PFFRUTg4OFCsWDF8fHzSFNdJ210ikWzcuJFp06Yp46RIomJtbc3y5ctp0aKFWa9nOu7cv3+fixcvcuLECUJCQrh9+7ZStdfFxYVKlSrRqVMnKlWqhIeHB6C1wdXnk2Na0SY9Ya6If8hPYa6trS0GgwGDwUCtWrWYMGECzZo1y/MKuiNGjGDUqFG5/lwSiUQikRQ24uLimDJlCjt37lTiLcU86OTkxMyZM+nUqVO+ref0ej1WVlbK2jene+9SoFv0CQ0Nxc/Pj3v37mligQ0GAy4uLixZsoQmTZoU+rWZFOhKJBKJRCKRFD6kOFeSIepKC0ePHmXHjh1s3rxZeV1krTTdTBZBQyKA6P3336d9+/ZKNZTsZIBOC1Mnel6yYMECfvjhB+V6whgrX748a9eupVSpUtLp84wh+uD9+/cZNmyYZkNFnTnd0tKSXr16UbJkSapUqcL58+c5c+aMJuhc7Sg0Go14e3vj5+eXa4GuyBabE4GupGiSmwq6audiWv0nP4S5w4YN4+TJk4qYskSJEowePVoKdAuYzZs3M3nyZECbWMBoNNKxY0fmzZuHvb19oRG8inaEhYXx/vvvc/z4cVxdXVm/fr0U5kokkiKNadUec7F//37eeustxSEo/l+0aBFdu3bN8nnUc/rw4cM5ceIE8DSAqGvXrowZM0YKdCVpkpycjF6vZ8yYMRw9ejRV9uEFCxbQrVu3dPuOSIqkTuSl5sGDB8TExHDjxg2uX79OWFgYZ86cIS4ujsePHwPQvXt35s+fr7RHOhvzl+DgYPr160d4eLhGlNW1a1dFLJsXY0dmwlxIXX3Z3AJd8VmlMPfZJz2BruljSEmIlJEwNz/6hvjdmdpQ0qYqeKZNm8bGjRs1+9DFixfn448/pn///nk6j6UlzBVjmEh4kROB7rhx49izZ08q4RvA0qVL6dixY958IIlE8swj1mMPHjxg4sSJXLx4EZ1Op4yh6mNEMkL1/KsOEBbrQvH6wIEDGTduHE5OTtlqU34JdLM6Z8u5XSKRmDJnzhxWrlyp7BOKMXD48OFMmjTJbNcx3YP5888/OXnyJLt27SI+Pl4RSIh1odp2srKyomnTpnTs2DHbCQYlRYOMhLmmya7yWpirjnmysbEhMTGR2rVrs2bNGooXL57j60iBrkQikUieR8Q8+OjRI0aNGoW/vz+Q4o+xsbFh2LBhjBo1CldX1zxpQ3bn0+z6qKRAt2gi+sXGjRuZNWsWOp1OuV9Go5FixYoxYcIE/Pz88nQ9po7Hz038vOlxUqArkUgkEolEUvDICDBJuogFuMFgYPny5ezZs4crV64AKIalEHiZaryFI0dsms+dO5fz58/Tr18/2rZtm2HguemiPy0hbn4FfJ86dYp//vkHQBHCCaOsS5cuUlD2DCICZx89esS4cePSFOY6OTnx8ssv88ILL9C8eXPlvd27d8doNDJz5kx2797N48ePlUBywf379/n5558BsiTQFUEj9erVY+3atakEuqKKlE6n48MPPwSgV69eeSLukBQsbm5udOvWDSCVQFcET+r1erZs2YLRaGTatGkUK1YsVcVc4dQsCGGuaKO1tTXR0dH8+OOPxMbGMnLkyGwHOUlyT0hICDt37gRS5nV4Og7WrVuXcePGYW9vrwlaMzcZJdtIqz+KzWx3d3fmzZvH1KlTmThxohTmSiSSIo86MMechIaGAijBPvB0fSmqTmSF9OZ0o9FIaGgou3btAmD06NHSPipkFAZ7wMLCAltbW+rXr6+Ic/V6vbLuuHHjBt26dUu3nWJfQTyGlP5saWlJ2bJlAahevTo9e/YEIDIyEoArV64QExND586dlfdJJ2P+Ib7vv/76i/DwcI1dbW9vT+/evYG8EQtktWKuut+pbarff/8dIFOBrrrac79+/QAUga54XghDpDD32cbZ2ZmBAwcCsHDhQk1/EsIb9f6peq+oIIS5kNL/TX9/0qYqWPbu3cvu3bs1ojJLS0teeOEFWrZsWSDCXAsLC/R6PZaWllhZWXH58mW+/PLLLAl0xVqkWbNm7N27V/E1qMfpkydP0rFjRzlPSySSbKMW9bzxxhsEBAQoFSDF3CtsB7GfaDAY8PDwIDExkeDgYGxtbYmNjQWejln29vYkJCTg4eGBn59fjvas1b6Z9u3bK2OmWqCrFgyfO3eOFStWANChQ4cs+3bSGn/Tep+c2yUSiSA5OZm4uDiOHj2qPCfGTaPRSPXq1TVJpnKDOEdCQgL79u3jn3/+YceOHcq1rK2tNeOdGBvV8SXHjh3j2LFjXLt2jZEjR1KhQoUC3+eSmIfMKubmpzBX+M7F48TERBwcHJgyZUqOhLmQshaoUaMGn3zySSqBrvh9JCcnExoayqpVqwAYNWqUZq9JIpFIJJKiiJhvf/vtN/z9/VMl63N2dqZ9+/ZmF+aq509LS0vCw8N59OgRR48eJTw8XEms6uzsjJubG23btqVUqVJUr15daWNW/ap169Zl0aJFqQS66kTZ6jW3FOgWDkT/2L9/P/Hx8RofiV6vp1WrVrRu3drs67D0xLgRERGEh4crtpC1tTVlypTBwcFBUwwooz6pXju+8sorAIpAV31dsf4MCAhg/PjxUqArkUgkEolEkkfIKDBJmqiFiJ9++il///03T548AdBkeVIbAGqBjXheHYy2e/duQkJCePLkCT179syyg7mgnCwxMTH8888/3L59G0BxCFlaWuLm5kbLli2V56WR8uxgYWFBZGQkc+fO5erVq8rmkPg9uLm58fnnn9O4cWOcnZ2BlL4hgiunTJmCl5cXv//+O7dv31bE6qIv379/nw0bNmA0Gnn55ZdxcXHJsUBXp9Oh0+mU35kU6D7bZFWg+8cff2Bvb0+tWrWYNm0akLpyT0EIc0WVFQsLC6ytrXny5AkRERFSmFtABAUFcfbsWQBlXre0tMTR0ZHevXsr1e7NOYaYjkkWFhYkJSUBTzceExMTsbOzo2TJkqn6pPhbrENKlizJt99+qxmnJRKJRKJFLWJUJxoyTa6UHhnN6fB0TREaGsq6deuoU6cOffr0yZPPIcmctObCtObw/J4zRRuEk900kde9e/eA7NnVaR2nDuZ0dnbGwsJCsdmze36JeRDf9/Hjx4GU9aZIeNWgQQPA/GKBrAhzRf8T/6sDJ9QCXaPRyNSpU7Ml0LWwsGDNmjVcvXqV5ORkxW6Xwtxnn4wEumo7SN1HC0qYKyl8iD5y8uRJoqKilOeFuLtXr15KQoq8ICNhrnrfU1TRzapAV/T7Pn36sH79em7fvq3J2J+cnMyvv/5K3759qVGjRp59PolE8uwhxqRbt24xdOjQVMlgxLhmZ2dHnz59qFWrFq1atcLa2hpXV1cSEhIIDg4mIiKC7du3c//+fY4ePUpCQgIA06dPp3Llyjn2r2RFoKuuqpNTgW5a15VIJJL0sLS0xNramri4OCDFTgcoUaIErVq10vizs4t63EpKSiIoKIgvvviCa9euERYWprTBaDQq9rk6oaA6oYLadt+0aROPHz9m9OjRNGjQQO7vFHHSE+aqfdj5WTFXCHNNk1r7+vrmah81uwLd1atXY2FhwciRI2Ufl0gkEkmRRsy7N2/eVOJshf8FYODAgTRq1Mhs11PvWQIcOHCAS5cusWXLFmJiYjR7rWrWr1+Ps7Mz/fr146WXXqJmzZqafYXMyKpAV8REvfDCC9JmLwScOXOGY8eOacSvYu350ksvUaFCBbNfU1wrJCSEhw8fsmPHDm7evIm/vz+hoaHK68nJydSsWZPKlSvTu3dvqlevTqlSpfJEoPv++++zYMECatWqJWOLJRKJRCKRSMyIjPaRpELtvH7nnXfYv3+/8ppYzIvHBoNBE9gtRGLif/X5DAaDIgJycnJSKugWNoTBsXfvXlatWqU4yEUgksFgoFq1ajRp0gRIOzBYUnTR6/Xs2rWL48ePK31b/B48PDz49ttvqVu3ruY9og+IfmJpacnIkSMpWbIkCxcuJDg4GNA6jR48eMDPP/+MhYVFrivo6nQ6DAaDpoKupaUlPXr0KJS/MUnuyKpA95dfflHeo3ZqFlTFXCHMtbKywmg0YjAY6NOnDzNmzAAKR2W35wWRdW/jxo3ExsYqm8RiXi9VqhQvvfQStra2Zr2u6GcGg4HExEQOHDjAzZs32bdvH7GxsYSGhhIfH4+TkxOenp54enrSt29fqlWrRuXKlTWZBMVmuHr8lUgkEkkKYrx8/PgxkBKga2lpiZ2dHSVKlMj0HFmd0wG6d+8uhbn5jOn6TdyLsLAwgoKCSEpKUux1e3t7KlasiJ2dHXZ2dhmex9yIvliuXDmNyEc44c+fP09cXBz29va5uk5m1ael3V4w+Pv7c/bsWU0FM71eT6dOnXBxcTG7WDw7wlxPT0/Gjh3LsmXLuH//fpoC3c2bNwNkS6Dbt29f4Knj+9q1a+h0OurWrcvatWulMPc5IDOBrkDYZC1btlSEuTqdDhsbmwJpt6TgsbCw4Pr16/z8888Amr11Pz8/XnzxRSBv9k4yE+amJS7PjkDXYDBQvHhxhg4dypw5c0hKSlKCgaytrUlISGD9+vVMmjSJYsWKmfWzSSSSZxMxFt2/f59Ro0YRHh6u7H+LtZ6TkxO9evWiQ4cOtGjRItU5bGxsFLu4adOm6PV69u3bx86dOylZsqTiA8rNmJvVCrrmFuhKJBJJRgiBgnpsEWONWiibE8Q5L126xN69e9m8eTMhISEaP47YD1Lv45iOdeok8OI9Bw4cIDk5mfHjx1OzZs1ctVNScIg5PDAwkMGDB2sq5qr3jQAmTpyY5xVz0/Kdr127Fl9fX2WOzg1ZFegajUYeP37Md999h5OTkyKqkEgkEomkKGJhYcGjR484dOiQYveKed7W1lYR5prDPynOkZiYyKlTp9i9ezcbN25U1pDW1tbKPiegSZSVnJxMZGQkP/30E//99x/t27fnjTfewNbW1iwCXbG+OHLkCM2aNaNt27a5+qwS8xAYGEhCQkIqO6Rdu3ZKLKY59mLU8fLx8fFs2rSJ3bt3c+XKFaWAhehjIh4jOTmZGzducPXqVY4ePUqpUqWYNm0aDRs2zPR62RHoWltbc/fuXYYOHcqff/6Zp0lBJRKJRCKRSJ43ZDSYRINamDty5EiOHz+uyWYvDBMhrLK3t8fR0REnJyeePHlCUlIST548UQJ3hDGrdjCfPXuW3377DVdX11Qix4JGGFcHDx5k0qRJikEiMrQaDAbKli3L5MmTlcB0GeT7bCDu5ZMnT9i2bRuhoaGawF03Nze+++47fH19MxXRit9RtWrViIuL0wRgpiXQNRqNvPLKK7kW6IpATp1OxwcffIBer5ciiWeUzAS6puO2cGoWFmFucnIyvXr1Yvbs2YCsZJbfCHFEYGAggCLcMRqN2NjY8O677+Lm5maW+2IaxBsaGsrSpUsVoYbAyspKOS4uLo4bN25w48YNDh06RJUqVejVqxejR4+WwWgSiUSSRcR4+fDhQ0A71hcvXhw3N7cM35/RnC7sPPWcPnfuXEDO6fmBaQboq1evcufOHXbu3MmDBw8ICQlRqpGo8fDwwMHBAV9fX5o1a0bNmjWpW7euJjNwXsyz4pyVK1fGycmJyMhI5TUrKytFRCz7zbNJWFgY0dHRyvgjbJRKlSoB5k2woh5/vvvuO77++msgbWGul5cXv/zyC6VLl8bZ2ZlZs2alCpzIrUDXwsKCBQsWULJkSSnMfc5IT6Ar5mJhjxmNRho2bEhSUhJWVlZSmPscI8aO06dPa/aiReBY06ZNgfwX5qrnZ/UYpw6oy4pAVzxXr149ihUrRkJCgma8BTh37hzR0dEUK1ZMriclEkmGCBHLo0ePGDduHA8fPlTWbdbW1uh0Otzd3ZkxYwYNGzbE1dUVSN9WFWOrtbU1nTt3VpLyivflFinQlUgkhQmDwaD4k03Hlvj4eCIiIvD09MzWmKMeXw0GA9u2bWPJkiWEhYVp1n1ifSnOLexzdZC4GPMgZf2pHiMPHjyIi4sLc+bMUcTEct1YtLC0tOTevXv07duX2NhYJbmG+t4DTJs2jUGDBmkqfOWEjCrmiiRaaVXMNWffykygqz5G+GaTkpLMnkBZIpFIJJL8JCEhQeNngadrRTc3N2rXrg3kPKmuen4XQuCZM2dy9epV7t27pxwnkn6klYRG7EmK9l25coWAgADu3r3LF198gb29fa4Euupr9OzZkzfeeCNHn1ViPsT9FHFqwh4RlCpVCjDfHryVlRWxsbGsX7+e48ePc+TIEeU1U3+REOuq+3VkZCTh4eG8/vrrTJw4kc6dO1OyZMkMr5kVga7699CuXTspzJVIJBKJRCIxMzIiTKIgjBCdTseIESM4ffq0Jku/WMAbjUaqVatGnTp18PPzw8XFBRcXF+Lj43n06BF79uzhyJEjXLlyRTG0RbCNcJ78/fffeHt7FzpxroWFBUePHuXNN9/UBEPBU+dS8eLF6dGjB56enoCsvvMsIe7l8uXLOX36tCZw18nJiRkzZmQqzBVYWVkRExPDzp07iYuL0wRQqB2MAPfv3+eXX34xWwVdNaZVsSTPFhkJdNUbi8KZKYKTCoswV4p4Cg6j0cjt27e5ceOGEhgOKP2mTJkyQO7mOHXQOcDFixc5cOAAW7du5f79+8pxoo+ogzLEYzEG+/v7M3/+fG7dusVrr71G1apVZZ+RSCSSLJKQkACkOHPU2fjTIzNhrjqAWM7p+Y+lpSVRUVGcPHmSbdu2ceLECSIiIpTXhdNXZIMWjsWoqChCQ0O5d+8eO3fuxNnZmZo1azJgwABq165N+fLllXPkRfC3jY2N0jb1uUNCQrh48SItW7aUQefPINeuXSM5OVkjNDMYDPj4+Jj1OqYVc9MS5gp7yMvLiw0bNlC6dGmMRiNt27bF0tKSmTNnagS66oqnORHo9unTB2dnZ1q1aoWtra0U5hYQBTWuZEWgC7B06VL0ej3Dhg3LNHGG5NlFjF87duxQkqvBU9u4atWqdOrUCchd9ca0yKxirkgGotfrcXR0JCoqSlkLZlegC1CrVi2GDRvGokWLNIHolpaW+Pv788MPPzB16lS5npRIJBliYWFBdHQ0ixcv5urVq5pkqTqdjpIlS7J8+XJq1KiheV96Y4vp2GouUa7pNaRAVyKRFAasrKzw8vLCx8eHK1euACl7hQaDgYiIiGyNOWpb/MCBA+zbt4+NGzcqr4vzqv1Fwu8j9qtq1KiBq6srTk5O2NjYcO7cOSIjI3ny5IliQ6nHyD///JNKlSoxZswYuW4sghgMBrZv305sbKzyN6T4ssX/AQEBALmq6JxRxdz8SmotyEygm5ycTIUKFfDz86Nbt25SmCuRSCSSIk9UVJSSqEWdhEP4LnODmN+vX7/OkSNHWLduHUFBQZokMGKNoX6Pek0q9jaF3yo5OZnY2Fi2b9+OXq9nzpw52NnZZXldYCrQtbGxkX70Qob47oODg4GU+DjRb3x9fXN1fvXaMywsjFu3bjFr1iz8/f0V20ftf1S/T7RDFMsSj62trUlISGDOnDmEh4fz6quvUrp06Uw/Z0YCXRFXKvumRCKRSCQSSd4go8IkgFaYO3ToUM6dO6cEYINWmNu2bVvefPNNqlevTvHixZVzlChRglKlSuHr60unTp04cOAA3377rSagUZ0Va+XKlTRr1ox27dqZ9bNkx0mtPtZoNPL333/z7rvvKlkyhTEkjJ5atWrRs2dPzeeWPDvcvHmT/fv3K8FlIoi4X79+SpWKzPqW+C09ePCA3bt3o9PpFFEioBHnqgW6ooLuyy+/jIuLS44Eug4ODsTHxwNPAzw7duxorq9GkkOys4GRk82OjAS6kLKJA6DT6bCzs2P9+vXUrl07y1n+soIU5hYtLCwsSEhIUCp7q8ekihUrUqtWrVydX923Hj9+zL59+/j666+JjY0lMTFRk/girU1H8di0wtkff/xBREQEb7zxBg0bNpQBaRKJRJIBovLEo0ePAG2mVVdX13TtGTmnF26io6O5dOkS8+bN4+HDh4SHhyv31rQCnXqOhRTbV8yrMTEx/Pfff1y6dAl7e3vee+89mjVrRrly5RSHtDmrmnp6elK9enUiIiKUPiTWrKb9VPLsIJKyqKt3Ozg44OXlZbZrqPvqsmXLWLRoEZC6Yq4Q5v788894enoq452trS1t2rRRgiMzEugaDAZmzJiRYSIsteP7xRdfVNoohbn5R3JyMsHBwZQpU0aTiCi/5ykh0BVVlNX9SQRW6PV6li1bhqWlJUOGDJEC3eeYhw8fEhwcrKy1hCjW19dXeWzOcSQrFXPFdVu0aMHcuXOZPHkyhw4dUo4Ta4usCHTFsU2bNsXT05OQkBAAZX0J8O+//zJ48GClurpEIpGYIuyIffv28d9//yl7icLG8fDwYM2aNfj4+BQ6MasU6EokksJCUlISJUqUALRjk8FgYOXKldSqVSvTRAXqdWBSUhJz587l0KFDiqBSnZjIaDRqBBJivO7cuTOtW7emadOmODo6KucOCgriwYMHzJgxA39/f41NJ2yo3377jdatW1OnTp28+IokeYiVlRU9evQgISGBjRs3EhERobHVhVhm9erVxMfHM2PGDKX/ZGefMiNhrmkSt7wW5qo/W3oCXSHM7d+/v/L7lEgkEomkqGM0GpUiI2Lt6ODgkKNCI6Zz9F9//cXy5cu5e/cucXFxyvpTrGvVQl29Xq+sJ8T6VLwm1qhqW3vfvn0sXLiQCRMmYGNjk+U21q1bl6+//pp3332XoKAg+vTpw+zZs9NsvyT/UcdKQOrkMOJeZ3ffxTQG+MSJE2zZsoWDBw8SFham7MGLxEXiGurriL4hROOinwrfYlJSEj/88AP29vYMHz4800QupgJdCwsL1q9fz9WrVzEYDPTu3Zs5c+Yo15R9UyKRSCQSicR8yMgwiUaYO2zYMI0wV50N32g00r17d6ZOnYqLi0ua5xIL9rp161KjRg28vLyYOnWqpkKEWqC7ePFiqlatStmyZXP1GcLCwjh37hwvvPCCYixl5qhWGxe3b99m7969LFy4MJUwVxjqLi4ujB07lipVquSqrZLCy9WrV7l79y6QEuhhaWlJ27ZtcXJyyvT96oCymTNnEhAQgJWVlbL5U7VqVYxGIzdv3lTObSrQTU5O5pVXXsHV1TVbAt3XXnuNuLg4AJYsWaIIc2XARv5iumkRHx9PcnIyly5dIiIiAr1eT3R0NADly5enePHilCxZknLlymk2W0RATlbuXWYCXfXGUosWLahduzZgvsrfUsRTNBH9Q73hLIIkcos4x8aNG/n333/5559/AJTgXnWWSnWlHHWfVWfPVG+W//vvv1hYWPDBBx9QpUoVOcZJJBJJOghHj0jcIuw5eOpcSsvxmVnFXDmnFyznzp1jz549/Prrr8TGxiq2hJhD1Yml1POoep40zbhrYWFBfHw8MTExTJ06lTZt2tCuXTsGDRpkVmGuwMnJSeMUF+sCf39/QPalZxn1Wk+n0ykVUnKLev2anjBXXTFXCHNNxbIZCXTFsQaDga1bt1KvXj0GDRqU6edVkxe/J0na6HQ6Ro8eTVhYGK+++irt2rXT2Nv5jbOzMwMGDABIJdBVP/7222+xsLBg8ODBUqD7nOLv78+DBw9SPd+4cWOAAhPmNm/enJUrVwLw+eefM3nyZI4ePaock9UKumLub9iwIQ0bNmTnzp1YWlpq9o/q1asnhbkSiSRdhK1gMBjYvHkzDx480CQfcnV1ZdGiRfj4+Jg90ZC5yKpAV4yvUqArkUjMjdFoxNbWlh49enD69Gng6fgqfDY3b97kwIEDdOvWDTs7O82YY+q7DAoK4ujRo2zcuJELFy6kEkBAap9QxYoV8fX1Zfz48ZQuXVozVouxu0yZMpQpU4Z169bxwQcfcOjQoVQJ6R4+fMi1a9eoU6eOHBeLIOXKlWPAgAEkJyfz22+/KQJdMQ8KO1lUYc6uQDczYa54nJ/CXIGpQHfatGnExMTwyiuvSGGuRCKRSJ4pHBwcFJ+z8A0ZDAZu377NxYsXadiwYZbPpV4DnDhxgr1797JmzRrldbHeVIskxZpUzP2urq64u7vj6OjIkydPePToEU+ePAFS/EzCH56UlMSBAwdo3LgxHTt2zNZ609fXl6+++ordu3czefJkQPo+CwuiHyUmJgLaPZrk5GRlbz47e0qmhSv++usvFi5cSFJSkvKa2i8vrgspMXviPAJ1lWm1j1Kn07FkyRKqVatG27ZtM+1XaoHuyy+/DMCiRYto3ry5FOZKJBKJRCKR5CFSnPucYyrMPXv2bLrCXHVGp/RQL9htbW15+eWXSUhIYObMmRpxjTAqHjx4QEhICGXLls2x8yQ+Pp59+/Yxc+ZMGjRowOjRo/H19aVEiRKKEaGuliI+s2jrr7/+yr59+zh48KCmcgWkOJAsLCyYM2cOzZo1y3b7JIUf4Xj8888/gRQDF6B9+/a0aNEiS+cRfWrhwoWcOHFCMcD1ej3ly5dn2bJl/Pfff6xYsYLbt2+nEug+ePCAX375BZ1Oh5+fH25ublkW6K5YsQI/Pz8WLFhAp06dACnMzW/EmAlPHdhXr15l48aNhISEEBgYqKkKCiibe15eXlSuXJkGDRrQoUMHqlWrBpCtYJuMBLrqcxw4cICPPvqIadOmmaUCuBTxFF3i4+OV+U3dxyIjIwkPD8fJySlbwb+inyUlJREWFsbcuXPZt2+fsrGpFkio1xfi+bQ2G8X7DAaDpnLEgQMHcHd3Z+bMmTIoTSKRSDJBPb4KRLCTmszmdHWAlJzT85/t27fz008/cfPmTZKSkjTzqjq5hWmWZ7VTUb0uUzsB1fPxoUOHOHjwINeuXWPChAk4OTmZZa4VNnjlypWBFDtbtP3q1auA+ZLHSAoetfgbtM7m5ORkHj16RI0aNXJ9HXHeFStWZFmYm171SSHQnTx5MrNnz+b+/fvK+dX7WTJQsvCi0+kYMWKEEmQ+c+ZMtmzZQvXq1RkzZgzOzs6aZIP5ZUekJ9A1TWD4zTffAEiB7nNKWFiYJnBMzNNZSRaYHTIS5op1nVqYu2rVKuDp78vT05O5c+fy4YcfagS6akHv5cuXmTVrFpMnT6Zu3bqa8VasB0aMGMHZs2cJDg5W5gW130Ha+BKJJC2ErfD9999z/PhxJTGAXq+nWLFivPfee0pCg8IozBVkRaCrrjIpBboSicSciLGjYsWKioBBnew3ODiYtWvXYmdnR5s2bShRooSyfhTjcEhICFevXmXhwoU8evSIyMhIZc8JUqo9qUW6AL1796Zfv37Uq1cPe3t7TTA6aMdug8GAs7Mz8+bNY9iwYVy/fl1pp7Cf1q9fT5cuXaSNXkQpU6YMfn5+ABqBLqCxk7Mr0M1ImCuEEQUlzBWoBbqzZs3ixo0btG7dWvZliUQikTxT+Pj4ULlyZW7cuKGsE4XNe+PGDRo2bJhlEaQ4Zv78+Rw+fFjxKYr53dSOtrCwQK/X4+bmRqNGjejYsSMNGzbE29sbCwsLYmJiePLkCT/99BMnTpzgxo0bSluEH/Xu3bvs3buXjh07Ztv+btSoEY0aNQKkH70wIe5jjRo1OHbsmGYPBlJ81aIfZOW+i765efNm9u/fz99//608b1qgQvRRvV6PnZ0dlpaWdO3alVKlSuHr64vRaOT06dMEBgayb98+9Hq90kZ1Bd1p06axbt06ypUrl2n7TAW65cuXp2nTpoDsmxKJRCKRSCR5hRTnPsdkJswVRqvRaKRfv358+eWXQPYW5xYWFvTo0YNbt27xyy+/aKrkWFlZERUVxbp162jQoEGOnMlGo5GzZ8+ydu1aEhISOHbsGEFBQVSrVo0xY8bg5eWFm5tbqsDL4OBgDhw4wOHDh9m7d69iBKlFmcKxD08rkbZt21a5pnR8P1uIex0YGAigBPICSuBmVjeF/vnnH/bt2wekVNK1srKiWbNmlC5dmv79+xMXF8fatWsJDAxUnJTiekFBQWzatImkpCSGDh2Kh4dHlgS6DRo04Pjx4zg7O6dZJUuSd4j7IzLoLV26lAMHDigVwCBFiGta0dZoNBIcHExQUBCHDh3i+++/p2vXrjRr1ox+/fqlykidEZlV0BWOzK1bt2JpacnUqVMpVqxYjj+3FPEUbcqVK0epUqUICwvTBEFEREQQEhKSaXIANepM6Tt37mTnzp1cuXJFuc/qzOgicE78bTAY8PLyon79+lSvXl0JCD516hRXrlwhIiJC6cdqge7vv/9OtWrVGD58uBzrJBKJJA30ej1JSUlERUUBKdVUk5OTcXNzw9bWVnOsnNMLL7/88gvz588nOjoaQONcFnOqeE4d9GhjY4OlpSU6nQ5IEWqLeVWsRYVTT9xLo9HIxo0bCQ4OZsiQITRt2hR7e/tc2cHCjhJiTPXaQwg40xNMSoomoq/Y2NgAKHtLwiYR/dkcxMTEcPLkSezs7EhMTEwVbJkVYa7A1taWDh06EBAQwPz585XfiBhDLS0tKV26NCD3hgober1es7cpnrt69SpXrlzh2LFjVKlShUGDBlG/fn3c3Nzy9f5ltYKuFOg+v9y/f19TSUKsv8SYYw6yWzFXCHP1er0ynnt4eKQS6KrXFpaWlly6dInPP/+cL7/8kpo1ayrXF+sBb29vfHx8ePjwIUajkV69einCXLm+lEgkGXHz5k0OHTqkjDdijdayZUuaN29e0M3LMlmtoCsFuhKJJK9o0qQJw4YNY/Xq1Zo9IYArV67w9ddfc+jQIYYOHYqrqyvOzs48ePCAPXv28N9//3HmzBnN3pQ6GRykJGWztramcePGdO3alYEDByrXUCc7Tgsx/jk7O/Ppp5/y1ltvERUVpQgtrKysiIiIID4+XgoaizBpCXSFbZETgW56wlwbG5t8q5ib1f1N0c7KlSvj4+MjbSCJRCKRPFOImMXSpUtz/fp1TZIMUf2zdevWeHt7p5rX1fF3FhYWPH78mPPnz7Nq1SpOnTqlHKdOVgwp8XDiulWrVuXDDz/E09OTEiVKaJIZ29vb4+joyPvvv8+JEydYsWIFJ0+eVNbF4tx//PEH7du3p3Pnzjn+LuQcX3gQ90L4qtXFLCwsLDh58iS7d++mS5cuGe63iL6UmJhIZGQkc+bM4fDhw0olZnXsubiu+Fuv1+Pt7c2bb75JjRo18PX11Zy7U6dOJCUlsX37dr788ktiYmJSCXQjIiL4+++/ef3117O0jlULdKUwVyKRSCQSiSTvkZGPzykZCXNF1lERPNm/f39mzpypeV92cHV1pV27duzevZvIyEjF2BUC4MDAQBITE7Gzs8vyOYWREBgYyNdff82NGzeU9gcEBBAQEMCRI0eoUKECvr6+ODk5YWlpSVxcHDdv3uT69etER0crhrkwtNTGkcFgwMHBgQULFvDiiy8CMvjyWSY8PJzIyEjFQaOuJgUpQtu0EP3i4cOHbNu2TRFlCgdPsWLFGDBggOKMGTp0KDExMfz000/ExMRoqlPAU/H477//TlxcHKNGjaJ06dIZGsbieXU1DdlP8wdxX6Kjo9m/fz+///67krkfUjYAxZinHnPUInCRRToxMZFt27axdetWjh49SpcuXWjdujUODg5ZGn8zEuiqHZlbtmwByLFANyMRj2llNiniKZw4OTnh6OhISEhIqv66cuVKPvnkkwwr9KjvpQgS+/LLL7l37x7R0dGaADkxlqqrmAF07NiRVq1a0bVrV1xcXDTjVnR0NA8fPmTSpElcvnxZI1QX59m5cyft27fPUkZAiUQiyQ7PwppfBMcJTCvlCuScXrj56aeflO9cLbAWjjxhvzo7O1OxYkWaNGlC9erVKV68OC4uLlhaWhIWFkZAQADBwcHs3r2b2NhYRbStTsolEH8fPHiQx48fM2DAAHr27Enx4sVz/dtwdXVVHovzGI1G/P39uX37NtWqVcvxuSWFE2dnZ0B7vwFOnjxJjx49crTHZIqjoyNTp05l0aJF7Nu3j9jYWGxsbLItzBXts7CwUNamor3C8e3h4UH16tU1n0lS8KS3t6kWVQcHBxMcHMzhw4dp0aIFDRo0YNiwYdjb2ytVm0SQQ17d24wEurKCriQxMRFIGSfFPrV4PreIBAmQfWGu6dgpBLoTJ05Uqgyog+asra25evUq27dvp0aNGql+U25ubowaNYqjR4/SrVs3ub6USCRZ5vLly1y4cEH5W+y19+zZkwoVKhRUs3JETgW64ni5FpVIJKY2THaTrb7wwgscPXoUf3//VImkRazFtm3bcHBwUJJhqRNtqWNJICW5jPCFFitWjAkTJtC0aVOqVq2qaXN2qlCVLVsWT09PRZwrCA4O5ty5c7kSS0gKnvQq6Ip+lFWBbkbCXJG4UDzOa2Gu0Wjk0KFDNGrUiOLFi2f6PmkDSSQSieRZxNramoEDB3L8+HESExOVPUhra2vCwsIYP348X3/9NWXKlNG8T8zniYmJnD9/nu+++45bt27x+PFjxWcNpCo8JPYHunTpQo8ePWjVqhXFihVLVdxE7IEajUaKFStG69atsbCw4MmTJ1y/fl2xxcWcfuPGDTp37vxMxA5InlKvXj3KlClDSEiI0o+MRiNRUVHs2bMHHx8fxV8t1orqNaOFhQW3b99m+/bt/P333/j7+yuvqQthqUW1APXr16dZs2aMGDFC4y9Xx3BYWFhga2tLv379cHZ25uOPPyY6OlqxvURf//vvvxk+fHiW/aum6025/pRIJBKJRCLJO6Q49zkkM2Gu2lDIrTBX0K5dO1q2bMmOHTs0wY3JyclcvHiRmzdvUrt27SyfT1QAGj9+PFeuXNFUdhIit7i4OK5evcrVq1fTPIcILBLGEKAEO1tZWVG6dGk+++wz2rRpo7RXGtrPLjqdjtjYWE21KXgq2oWUij+mqPvFhg0b2LVrF5AizAX45JNPqFOnjiag4q233lKq5Ko3f8S5QkND+fPPP4mKimLcuHF4e3tn6iBSCz0leY+4H6GhoSxbtowDBw5w//59Jfg3OTlZ6U+mghj1OCge6/V6jVN6+/btnDlzhsaNGzNlypQMhZJq8lqgm1l1PSniKfwkJyfj6OhIhw4duHv3rhKAKzYFz5w5w+HDh+nQoQN2dnaasUncR3Ev//33X44cOcKGDRs0mQXFsQKRKd3S0pJWrVrx4osvMmjQIOV1scYQ53d0dKRatWqsWLGCCRMmcOTIEc2GI6CsH6Q4VyKRmIuYmBhsbGxSjX1FESsrK6ysrLCzs0uVdCYmJkYTlCSFuYWTNWvWKN+5OuBRzKm2trY4OjoyePBgWrduTb169TI95+jRowkMDOTXX3/l2LFjBAcHK+tDdVV7sSdw9epVVq9ezZMnT/Dz89Nkl84JtWrVwsvLi8ePHyufR2TKTkhIyNE5JYWbatWqKfaRSFoEcPv2bYBcC3PhqU1VtmxZxo8fT3JyMocPHyYqKooyZcqwYcOGLAtzIUUkcfz4cSWTO6RklnZycsLGxkaOg4UIg8HAoEGDuHjxYqq9QUixucVeoV6v57///uPYsWPs27eP6tWr89prr1GuXDmKFy+e53O/rKArSQ91AI/aPvf396dx48a5Pr/o23PmzGHHjh2asTk7wlyBh4cH8+bNY9KkSRw8eFCzDyAeiznAFKPRSPny5fn000+VQHw5rkokksyIjIzkl19+AbRVSHr06EGXLl2AwuPDM21HemNcdgW6Fy5cYMWKFSQkJCj7/xKJ5PlEjCtBQUEcOXKEl156CUdHxyyNg+L1Vq1a0alTJwIDA0lKSgK0iWLE2BMdHU10dLRivws/jqk/SLzfy8uL2rVr88477yjJrcRrOVnvlS5dmpYtWypiCbVfVSSfkxRt0hPoAlmqoFvYhLmvvPIKly5dYtasWXTt2hUHBwezXEMikUgkkqKCmJd9fHwoX748/v7+mj1PS0tLLl68yJAhQ5g8eTI+Pj5UrlyZmJgY9Hq9Eiu3c+dO5ZxqG9m0+IC1tTXVq1enZ8+ejBgxQnlPRnO9+hxNmzalefPmXL9+XVljCF/5tm3bGDJkCC4uLnnzZUnynYoVK1KjRg2CgoJSiWp37NiBra0tPXv2pGXLlsrr4v/z589z+fJlFi9eTGxsLDqdTiPaFf4p0TdFJWY/Pz+GDBmCl5cXtra2mhh8U/tNrG07dOjA5MmTmTRpknIucfzFixc5evSoEtMukUgkEolEIik8SHHuc0ZGwlwR6Csem0uYK95bp04dJSu/cJwIIVpcXFy2zxsSEkJkZCSgdWILAZq6Yp86KE88J44Rz4ksXSVKlKBx48a8+eab1K9fX/M+ybOLjY0Ntra2mqqOAOfOnePq1avUrFkz1XvU/eKXX35h+fLlQMoGEECfPn1o27YtoHVmWllZMX36dPz9/Tl37lyqSkIWFhZKVq6HDx8yZcqUVE5M2ScLDrGJ9/DhQ6ZOncrp06eJj4/XjCXisbjnIthRLaxQj0NiIxFSNn6CgoL4888/OX/+PJ999hn169fH3t4+0/ZlJNBVB/xmV6CbmTBXvSEqRTyFF3Ev6tWrpxFgiY3se/fu8eOPP5KUlETbtm01WfssLS1JTEzk2rVrbNu2jS1btpCQkJBK2GMq6DUYDEpmv8aNGyuCWtE3xBpDvaFoMBhwcXFh3rx5+Pn5cffuXaWdog9v2rSJ1q1bY2VlJfuYRCLJFXfv3mXq1Kl06NCBgQMHYm9vX2jWW+p2ZNUuE3O+Xq9PZQ+J/21tbaUwt5CyadMmZs2aBWgDz4Xz2snJiVdeeYUOHTrQsGFD5X1p9Q+1nezm5oabmxv169fn1KlTHD9+nCVLlii2izrwTYgR79y5wy+//EJcXBwjR47MlUDXxsYGBwcHTQCnlZUVSUlJXL9+nbp16xaa353EPIjgYLWdbWFhwcmTJzl48CAvvPBCrq8h7KkyZcowYcIEYmJiuHfvHitWrMDT01NZp2bnfGFhYZpzi7a/+OKL2UpsJMkfYmNjlcfqQG1x/9QZytXJtK5du8a1a9f4+++/eeGFF2jVqhV9+vRR7JO8mvOEQNdoNLJw4ULFzhaJiKRA9/lEVFQS+0Ji/0jsfZsDsYaoXLkyt27d0ohvsyPMFbi7u9OnTx+OHTumWXOKz1CiRIk032dhYYG3t7cU5kokkmwRGxvLo0ePgBR7xWAwKNVMoHAkLRU2WWJiIleuXKFGjRo4ODika+dkVaAr1genT5+mVatWBfDJJBJJYUGsnQICAujXrx+2trYkJSXRu3fvLAt0xTnGjRvHo0eP+P3335XXhL2kTqqmFkKY+j/VSa+bNWvG8OHDqVevHu7u7qkqTGUXMaba2dlpnhdtFPOCXE8WfXJaQTcpKQlbW1tAK8xVx2rkpzB32LBhXLp0CYBZs2ZhNBp56aWXpEBXIpFIJM8lPj4+DBo0iM8++0yzBy7Ei0FBQUyYMAEnJyd8fHyIiIhAr9dz584djXhWvAfQxBzr9XpsbGwYO3YsLVq0oG7dukCKXzQrc73RaMTBwYHXX3+dP/74g6ioKE1hn/j4eBITE/PuS5LkK2IN+NZbb3H9+nUePHig3G91HOXZs2dp1KgRTZs2pWTJkty5c4fLly9z5MgRHj9+rByvjvdMSzTetWtXOnbsSNeuXZU2iHjR9FDvE/Xs2ZP9+/ezZ88epf0WFhbo9XoCAwPz9suSSCQSiUQikeQIKc59jshMmCscGeYU5kJKJZSqVatqNsLVGfpv3bpFkyZNshWIW7ZsWTZu3Mh7773HqVOngBQDRjiGRDCQulKU+rFaNGcwGPD29qZv375069YNHx8f5fjC4NSX5C2enp7UqVOHkydPap4PDw/n5s2baYpzRb/4559/mDdvHoDym4Kn2bY6d+6Mh4eH5n1qga6fnx/Xr18nKSlJU5lHnD8hIYGTJ08ycOBA3n//fRo1akStWrVknyxAxGbNvXv3GDdunFKdW50hWu2UFmOewWCgWLFiREdHA9qgYXXFWXXQMDztLwEBAUycOJExY8bQvn17vLy8Mm2nuQW6GQlzpYinaNKxY0f69u3Lli1blLlQcOXKFb7++mt27NjBkCFDlEDhkJAQNm3aRGBgIA8ePAC0iQfE32LuNBgMVKhQgVatWjF48GAqV66sXCOzTOninK6urnzwwQd8+OGHJCQkKL8RgHv37uU447pEIpEIAgMDGTx4MGFhYcTExGBvb0+fPn0KhUBXrBnDw8Nxc3PTrCMzQqxHReCPWpz76NEjZZ3y2muvpUq2Ief0guXgwYN8//33GtsWntoZOp0Od3d3vvzySxo0aICTkxOQOtmFGnXlT0jpU40bN6Zx48Y0bNiQH3/8kQsXLiiVUMT6TuwRiIQxjo6ODBo0iGLFimX7tyHWklWqVOH27dupKgNev35d017Js0H9+vWpXr06/v7+gHY/5tatW2YR54JWoDtjxgzs7OxwcXHJcsVcNUePHuXIkSNKe9V7S2XLljVLeyXmQYxnb7zxBp9//jnx8fHA0/5ga2tL7dq1uXr1KjqdDr1er5nfxHFWVlbExcWxa9cu5V/NmjV5/fXXcXR0VIJ8zY2zszMDBw4ESCXQlRV0n0/UwdrqufD06dMkJSVhZWWV62rj1tbWjBw5kuLFi/PLL79w+/Ztxb7OrjBX3VbxmxJYWVnh5uaGr69vls4h15cSiSQjxHrs77//VqqaiLHLw8ODnj17FnQTNVhZWREVFcXixYv577//qFOnDl988QU2Njbpviczga6wywC6d+/O//73v/z6OBKJpJAh9mrEXmZsbCyxsbGsW7eO5ORk+vbtmyWBroiLsLKyYubMmVhbW7Nr1y6ioqKUQHN1cmFIGY/FP+FrBGjevDnNmzdnzJgxqa6TGzJ7v7DX5F7Ss0GZMmUYNGgQFhYW/Pbbb4SHhyt9QG0zqwW6GQlzLSwsNMLctWvX4uvrm6fCXLHPbmFhwZMnT5gzZw4AXbp0UfysEolEIpE8D4i1o5+fHzdu3ODnn39W9ujFOlIktnr8+DGPHz8GUtZ/aSWMUfu63d3dqVq1KhMmTNDsQWbXdymEjq6urlSrVo2TJ09qihCEhITg7+9P6dKlzfXVSAoQ0b+8vb1p1aoVW7duJTExUYltE375gIAA7t69y++//66JdReo/ffib+F7Sk5OpmTJknzyySc0atSIkiVLAin+rKz0T7XQV8TYib4t/OvXrl0DZPyGRCKRSCQSSWFDinOfEwpKmAtoBDqA5loCR0dHIHvOE6PRiIeHB6tXr2bOnDkcOnSIO3fuKAIj4RhSBwmJa4vXRZvs7OyoXbs2n376KWXKlNEI1KRD59lH9FEvLy+NIEE4J+fPn0/Dhg3TDMS9fPkyq1atIjY2VpOhDaB37960b99ecw2B+F01bNgQBwcHpeqqaZuEYR0fH8+CBQuwt7enc+fOfPTRR7JiTwGgFuaOGDGCBw8eKPcd0Iwrer2eypUr07RpU5o0aULp0qWVbH8xMTE8fPiQU6dOERAQwKFDhzRZ8NWbOKJyzuPHj1m8eDF3795lwIABVKlSJdP2ZiTQVVfkyUygK4W5hRP1uKLT6bCxscn2ZnPbtm05ffo0gYGBypwp3v/w4UMePnzI4cOHATSb0GrxuOgHIsOlWpDeqlUr3nnnHSpVqoSTk1O2M6WLsbJChQrY2NgQFxen2Yi8e/cut27dSjOBgkQikWSFgIAARZhrbW3N1atXWb9+PUCBC3SFLXbv3j0GDBhA48aNWbx4cZYEukJQUbp0afz9/TVr1ISEBO7cucOsWbPknF7IuHv3Lps2bSI4OBhIEVkLW75kyZL8+OOPVK9eXfO+7Nwb037TokULPD092bZtG5s3byY4OFhZj5oKdDdv3oyzszO9evVKVbUkM0SfFE5E08qAwvFe0IJ4iXlxdnbG09OT69eva4IqDAYDy5Yto2XLlqn6c04RQcMiSELYVllF9PcbN24oto96H6tChQp06dLFLG2VmAcxntWpU4fixYsTGxur2COJiYnUrVuX9957j71797J//37u3bun9BO1XawOaDhy5AhHjhxh586dtG3blg4dOtC6dWvlmubYJxWkJ9AVSb6kQPf5onr16tjb2yv3X8yTt2/fJj4+Hmdn51xfw2g0Ymtrq1Ru3rRpEzdv3qRZs2bZFuaKteOhQ4dSJfvS6/U4OjoqSUQkEokkNwjbQNgLaooVK5ZtuyQvCQoK4sqVK3z11VcEBAQAYG9vT0hICGXLls3Qrs5IoCt8nNJGl0ieb4TfOiAgAD8/P8LDw7G1tUWn03Hnzh02bNgAkGWBrnp/8bPPPqNSpUocOHCAY8eOKT4esT8kbCDxvNFoxNnZGTc3N15//XXatGmDp6cnYN7xSbQ/JiZG+Vttqwv7SO4jPTt4eXlpKuhmRaC7c+dOjTDXNNFhfgtzhb/U1taWqKgoJk+eTPny5WncuLFZriuRSCQSSVFAvT4bPHgw4eHh7N69WxOnpk6iCSkFLkTcnWklUnFMw4YNefnll2ndujWlSpXKdgySKVZWVlhbW+Pt7a0UdFEnUFbH70meDVxdXRk2bBiXLl3iypUryvOmMXOiL4q4UOEzV/ddsfZLTk6mUqVKtGzZkqFDh1KhQgXlvJlVy00L9R7Rjz/+qPizRH98+PAhIBNfSiQSiUQikRQ2pDj3OSAjYa4IwM4rYS6kGL5XrlxRslQK54kwnl1cXHJ0XtHGSZMm0aFDBw4ePMi6desASExMTPe9ycnJ2NjYYDAY6Nu3L82aNaN79+4ZZq+WPPsMHjyYgwcPEhERoTzn4uJCo0aNcHd3T3V8REQEO3bs4OLFi6lE7r169eKtt94C0ndEJicnU65cOZo0acLu3bsVY15t7Asno52dHfHx8cTHx1O2bFlNRQ1J/qDOSD1kyBBCQkI0Tj4RzAtQu3ZtWrRowVtvvZUqE65wFterV4+uXbuSnJzMf//9x/79+/nrr78IDQ1V7r06G6DIur9582ZiYmIYNmxYlgSJuRXoSmFu4UQdWPHHH38QGhrKwIEDsxR0oaZr165cvHiR1atXK31ZLTZXj0tiw1A8p94UF8eK30CTJk1o1aqV2TKlV61alQYNGnDw4EFlU15cKzIyMkfnlEgkEiF6jYyMxNbWVhlX/P39C1ygqxbmDho0iPDwcP7++28mT57Ml19+malAV7TXNOmGpaUlERERDB06lIiIiFQVc9VrWTmn5x/iOz558iSHDx9Gr9cr861YY4rEVJUqVTL7PfHx8VHWlvPmzSMgICBNge7t27f5+eefKVeuHM2bN8/RtTw8PJTH6gos58+fJyoqihIlSsigymcE0Xe6d+/O8ePH0el0in1rZWVFQkIC+/btw8fHx2zVSdV9J7u/ETE+rlu3TvkNijWuwWDA1dW1UIk/JClUqVKFUaNG8eWXXyr3Ljk5mVWrVlG7dm0mT57MyJEjmTdvHhcvXuTu3bsaMaGwLdTjblBQED///DM///wzvXv3platWgwbNkwTKGSOsUpW0JUIXF1dlb6oDjwLCgpix44dDBo0KNf9Tsy7dnZ2+Pn5ERcXR2BgILNmzQKyVzFXVHIMCgoCUoLnRJ9t0aIFdnZ2ZhW0SySS5xODwUBiYiKnT58GtEG7lSpVws3NrVAk+Dl9+jTLly/n7NmzREVFKePh5cuX+fXXX3n//fczXZ+aCnRnzZrF5MmTiYiIoHfv3kr1PWmjSyTPJxYWFkRGRjJ27FjCw8M11UGBXAt0hw8fTocOHdi/fz/bt28nMDBQ8ZerK0XVr18fDw8PBg8eTNmyZSlfvrzymvBrmpNHjx5x6NAh5fzq5EplypQx67UkhQMvLy/FTjYV6Kormm3cuJG7d+9y4sQJQCvMVVfMXbNmTb4Lc9X+0s6dO0thrkQikUiea8T+vbW1NTt27FDmUSFwVBf3URcyEf/UcXjNmjVj/Pjxyh6mOdafYr2clJQEpCQXFs+by38lKTwYjUaqVKnCZ599xocffsidO3cAUhXlMX2sFo2rY0RtbGxo06YNY8eOxdvbG0dHx1yLxsV77O3tgZR+KRD9VSKRSCQSiURSuJDi3GeczIS5YpM6r4S5akTGHrXozNLSEnd3d022oOwgAsgtLS1p1qwZzZo1o0uXLjx8+JAtW7bw5MkT7t+/rxgkVlZWlC1bluLFi9OzZ0/Kli1Ls2bNlPPJgKHnE2HQenp6Uq1aNY4fPw5AjRo16NKlC8OHD8fe3l7pa6KfXLx4kc2bN5OQkKD5LTVt2pQPP/wQyLhPCSNcVI5WG9JqA9/GxkYRm0+dOpXBgwfnwbcgyQhx7wMCAhg0aJBSXU84vtWbLj169KB///40a9ZM01/SO6elpSUtW7akUaNGDBw4kFmzZnHhwgWePHmiiF+FMMLKyorY2Fh27dpFTEwMY8aMoXbt2pm2PyOBrjrg11Sgq67GKoW5hQd1QMXq1auZNWsW3t7eODg40Lt37ywLdMV9mjhxIhEREfzxxx+pKs0LR7Y4l9hsNK3uLfqRra0tb7/9Nh06dFCqO+d2bhXtFH3PNENmbGxsjs8tkUieb7Zu3UpUVBRWVlYkJSUp83JycrJGoNu7d28cHBzyLeDXVJj7+PFjbGxs0Ov1bN68GSsrKz7//HNlHk6rTeL5GjVqsGfPHmU9IUQfERERSjZX9ZwuhbkFg6WlJQ8ePGDRokXEx8dr7Fy9Xo+LiwuLFi2iUqVKeWazuri40L59e1xdXfn000+5detWmgLdK1eusGrVKurXr4+9vX2221O3bl1NZUDx+RMSElJV3pMUbcS9rF27NnZ2diQkJGiSACQmJrJt2zZ69uyJt7d3ge7HiD5+6NAhJchZrIOTk5Oxt7fn9ddfp3jx4oVC/CFJQdyPBg0aUKFCBQIDA7GwsFBshS+++AJPT0+aNGnCV199xZkzZzh06BCrV69Gp9Oh0+k091sdYCHsnK1bt7J161Z27txJ69at6dq1K1WrVlXakNu5UlbQlRiNRqpWrUrTpk05cuSIkghL9MuLFy8CWtFWThHnsLW1ZdSoUUqiyuwIcwX//vsvJ06c0FQTEHN7nTp1AOQ+u0QiyTWigo0QiIm1pJqCXpsZDAZOnjypVBMXawsxh+/cuZN+/fpRsWLFTM+lHutffPFFpk2bxvHjx5k+fTogbXSJ5HnHycmJFi1aEB0dTXBwMICSWApyLtAVx3h7ezN06FB69OhBQkICd+7cITw8HHt7e1xcXLCxsaFmzZpYWVlp1nlqf5G5EONdaGgoMTExyr6UEGh4enpmyT8qyT/UfS2381WZMmXSrKCrTvpmMBg4deoUkCLGVT8uqIq56qTHcp9dIpFIJJKn+Pr68v7771O2bFl++OEHxWctkmeb7i8Ke9rBwQF7e3vefPNNmjdvTo0aNYCUedUc60+xtoiPjwdSBJpin9NUFCkp+oi9F19fX+bNm8fs2bO5du0a0dHRin0E2vWtaVJt0T/69OlD06ZN6devn+Ya5lj3GY1GHj9+jE6nSxWfZ2lpiU6nw9LSUu7BSyQSiUQikRQipDj3GUYEWev1+jSFuSLQx2g08sorr/D5558DeSNQPXnyJBs3btQ8JwzZatWqUa5cuRyfW13pwsLCgrp161K3bl06duyIhYWFIgoWm+Bly5ZVKueq2yIMGMnzS6lSpRg6dCjHjx+nVatWDBo0iDZt2mBra6txmFhZWREeHs5nn31GZGSkRphbrlw5Bg0apARKZtSn0up3RqOR7t2706VLF2bNmkVkZKSyAfTJJ59IYW4BkJYwVwhkTIW5r732GqNGjVIqLYuNmbQw3YixtbWlcuXKLF68mNWrV7Nnzx6uXr2qjMli7La0tCQ+Pp7Dhw9ja2vLG2+8QfXq1TP9HNkV6E6aNAknJyeSk5MZPny4FOYWEtSbf2vWrFEq3Ny/f59169aRnJyc5aALtXj8yy+/pFixYuzatYvQ0FBNAg9TTPu9Xq+nZMmSdO7cmS5dutC0aVNNe3M7t4qNz+joaE0bxGczd/UqiUTy/DB69GgSEhLYvHkz4eHhmsQZBSXQzUiYC0+DizZt2kR0dDSLFi1Kty1iLhbBv+pKGmrknF44SEpKYsWKFUoCGDH/GgwGHBwcGDNmDPXq1QPyVuRiZWVF48aNWbBgAR988AH+/v4aW0cEvh04cIC5c+cybdq0DEXiaVGsWDElkFLt0IyMjOTy5cu0adNGzunPGJUrV2bYsGEsWbJEk+jFysqK27dv88UXX7Bs2TKNKD0/UWdW37VrF3FxcZq+aTAYcHR0VPatZN8sXIj74evrS5MmTQgICFDmNEtLS2JjY9mxYwdVq1bFxcWFhg0b0rBhQ1q1asWJEyf49ddfefToEZBiu4hgGxHgIDh//jwXL15k5cqV+Pn5UadOHV566aVUFXxyQkYCXbW4Rwp0n01EP65SpQqHDh3SVIYwGo1s2bKFF198kc6dO5tlDBLnFXvjouJtdrl9+7biYxBzt6WlJWXKlNHsC0gkEkluSU5OVgIR1ZiKdAsKKysrBg8ezI4dO/D391faJey64OBgHjx4kCVxLmgFui+99BIvvfQSIG10ieR5R4wBH330EQ4ODvz++++KLye3Al1TH4uzszOurq54eXml+x71OfPCThbj3ffff09YWJjyGYVvqkKFCorPUo6NBYPpd6/uB6b3JCd7fV5eXukKdMVeuZhz1XvnBV0xV+6zSyQSiUSSNmXLluX999/H19eXffv2sW/fPqKiotI8tnTp0nh6ejJgwACqV6+uiYkz97wq/PKnT58GUtYXVlZWFC9eHE9PT7NdS1J4EHsvtWvXZubMmezatYvt27dz48YNzTE2NjYkJSVp1p2lSpWiTp069O/fn3bt2il+IXPH3FtYWCjJ6tRJ1wEqVKigiX2XSCQSiUQikRQOpDj3GUZU2endu7dS9Ua9SBdGQ9OmTRVhblJSEra2tmZtR0hICH/++SeQUuVOtK9EiRL07NkTyL2Bot7QF5vfFhYWlC1bVvO8CBRK772Sok1GmzAZOX7Eax06dGDp0qXUqFGDsmXLaio9i+NEYNzDhw+VYHXhDGzSpAktW7bM0kaQuKYI0hDniIuLo3Pnzri5ufHff//xyy+/MGLECIYOHZrDb0WSU9IT5orsu+ox7d133+Wtt97SvD87Y4vYSClWrBgjR46kdu3abNiwgQMHDmgy7ov+GB8fz759+3BwcGDUqFFZCu7JjkDXxsaGDz/8kP/9739SmFuIEH1q1apVzJ49G3gq7NbpdDnOii7GsClTplCjRg3279/PP//8o3Fmi8B0IaYRa4lq1apRpUoV3nnnHTw9PXFwcADMmyldrA1EBXH1pqe1tbUyz8u5XCKRZAeDwYCdnR3jxo3DYDCwdevWAhfoZibMtbKyUtYgtWrVytI5vb29KVasGAkJCYB2PSxESHJOLzjE/YiLi+PChQsAqWyDWrVq0aZNm3x1sFWvXp05c+bwwQcfcPv2bU2iGLF2+Pnnn6lduzb9+/fP8u/BaDTi7u6Ot7c3N2/eVNa/4jMHBgYCck5/FvH19cXZ2ZknT54oglcxBh0+fJglS5YwduxYJYgxP/uAOvHNvn37lOdENRaA/v37KxnZJYUPMWe9/vrrnDhxQqmeC09thr///hs/Pz9cXFzQ6XTY2NjQuHFjGjduzIABA1izZg1nzpzh5MmTyj1X29+QkhzI0tKSuLg4Vq5cSXJyMn/99RfNmjWjW7duuLq6Km3KST/OTgVdCwsL/Pz8lMRgkqKN6MMdO3Zk27ZtyppULRjfvXs39erVo3Tp0ma5prp/5mTMDQwM5KeffgJQ1s3wdB3j7e2doZBDIpFIsoPBYCAiIoLw8HCNf08IdtVzdUG2sUSJEkycOJEPPviAJ0+eKOtJMX9v2rSJJk2aYGNjk6W2pnWMtNElkucbMfZZWVkxbtw4ALMKdCFl7MnKeJMf4+7OnTs5c+aMpj3qClXFixfP8zZIUqPePwe4d+8e9+/fJyAggICAAMXuLlu2LG5ubrRp0wYLCwtNP8yqzZyeQBfS3ucWwtxVq1ZRt27dfBPmSt+5RCKRSCSZI+buTp060b59e8LDw7l48SK3bt0iLi6OhIQEKlWqhJubG/Xr18fFxSVVsZO0Yn5zg/DN+/v7k5SUpPhARSynl5dXrgoOSQo3Yl1avnx5XnvtNQYNGsTatWsJDAzk0KFDxMfHY21tjZWVFR4eHjRu3Jjy5csrtoiTk5PmfOYU5op9r7///htIqdwrcHFxMdu1JBKJRCKRSCTmQ4pzn3FCQ0O5desWkCLWFQgDIzk5mb179/LCCy9ga2tr9kDIU6dOsX//fgDFgBWBxq6urjRs2BAwr4GSXvvzMoOrpGAx3YTR6XSEh4ej0+lwdHTEzs5OEY2pjxeo+0bHjh015zY9zsLCgmPHjmkqmer1etzc3Hj77bdxcnLK0u/I0tKS8PBwJfuaoH79+gBKsOiIESNwdHTM/pciyRXZEeZ+8MEHjBo1KtfXFJsptra2tGnTBm9vb4oXL86OHTsUp586kD0+Pp7du3fj6empqdicEVkV6G7cuJF9+/YRGhqqyfornYsFz9mzZ1mwYAGQ0g9zE3ShrlL28ssv89JLL7F3714OHTrEmTNniI6OJjo6GoPBgKurK3Z2drRu3Zrq1avTqVMn3N3dsbGx0WwEmnuePX78OFeuXFHOLcQ8Nv9n77zDo6q2PvzOTDKpJCQkkAAhtNCkF+lNkSZSpF26XBGwA6Lop3i9cFUUuyhiRaQoVaUKKF1KKAEkAUJLIJUkpLdp3x88++ScSSGBNGC/z8PDZGbOOXvm7NllrfVby9FRBmBIJJLbQox9RqORmTNnAlSoQLc4wlzx+OWXX+bJJ58Ebi3+ad68OY0bN+bEiROaYCVxTjmnVyzinmzYsIF//vlHcy/F/R42bBgNGjQo97Y1a9aM//znP7zxxhtcvXpVI9AV7dy7dy89evTA19e3WOfU6XRUrVqV6tWrEx4erjwv+vfly5cB2QcrkqK+ezFO3c7416NHD/r06cO6deuUa4jxB25WrK1fvz6PPvpoiYI0S4szZ86wY8cOzTpTPG7YsCGPPPIIIPtmZUXcEx8fHwIDA4mMjFSCaBwcHEhMTGThwoUsWrQIZ2dnTaK0atWq8fzzz5OTk8OqVavYs2cPR48eVcZgdfVSyF9Nd/v27fz111/8+OOPjB07lubNm9O+fXul/5Y0EeGtBLrCJrFo0SJ8fX0ZPXp0qXyHkopF9KmgoCD8/f0VO4yw/9hsNvbu3cuAAQOoUaNGqWfgLwni2qdPnyYrK0sjzBUB9+PGjVOel2OmRCK5U/R6Pa6urnh4eORL3BceHk5cXFyFV7ERY3K9evXw8fHRJKQRa4qIiAjNXkoikUhuh/IQ6FYW4uLi2LFjBwkJCQCa5Az169enZcuWFdzC+xORQDolJYVTp06xceNGTpw4wdWrVws9pl69egQEBDB58mRatGiBu7u7Ynspzn7B399f2SfbC3RFm8T/Dg4OrFu3jgYNGpRqUQIpzJVIJBLJ/URxbI/qRFnFXWPax176+vry0EMP8dBDDxV6jHouLe11rIh/A/jpp58UW6c6rrlp06aaeCpJxSP6m4iTE74guL3Yc9GvDAYD7u7uSlGWGzduaO67k5MTrq6umnaUFeK6WVlZhIWFAWiKuXh4eNC7d+8yu75EIpFIJBKJ5PaR4tx7GKvVip+fH3/88Qfjxo0jISFBCfBWbxBE0Flubi4DBgwolUBIsUm4ePEin376qUb8JYSMBoOBOXPmULt27bvKGSSpfIh+lZ2dTXR0NOvWrSMsLIyTJ09is9nw8PDA1dWVQYMG0bp1a7p06aIRJ5S07+3Zs4f9+/cDKIYZnU7H2LFjqVWrVrEMVaLNN27cID09XSOer1mzpua9Uphb/hQmzFUbd8T9evXVV3niiSeA2+tP9qiF4vXr12fOnDk4OTmxfv16TWCucPalpaWxcuVK6tSpw+DBg4tlFCyuQPfGjRuKs1s6FysPLVu2ZNKkSWzcuJHY2FiAOw66UFcpc3NzY8iQITz22GNkZWWRlpbGjRs3MBgM+Pn5odfr841LZTWPi/NeuHCB3NxcTWA8QOfOnWWmSolEctuIOa6iBbpFCXPVlXbgZkIQIcy91fwrXm/fvj0nTpzI55ySc3rl4fz588pcLhJaATz44IMMGjQIKLu5tihat27N9OnT+fjjj0lISNCsF6xWKzt27GDAgAH079+/WOcT/UtUl1SL1wBOnjwp+2A5Y9+v9Ho96enpZGZmEhsbi9lsxsXFherVq+Po6IiHh0eJRYfifU8//TRhYWFKwhVxPavVysWLF1mzZg1Vq1ala9eu5SrQzc7OZseOHRw9elS5pnrP98ADDyhVc2XfrNx4eHgwffp0Dh8+rOwdxJh6/vx59u/fr0nGJvqvg4MDDg4OTJkyhccee4x//vmHxYsXExsbS0JCgtIf7ZMUqEWJkZGRfPTRR1itVsaOHUubNm0YMGDAbQWDFCbQFQmzABo1asTQoUPv8BuTlBYFzV0lrQhltVrx8PBg2rRpzJo1S7P/dXBwIC0tjfnz59O8eXP8/PwqZL4UvwOz2cyyZcsUeyagiNAcHByoV6+e8pxEIpHcKTqdDk9PT6pWrUp8fLzyvF6vJzc3l/T0dKBi9kv2BAQEMGrUKBYsWKDZ1+l0Oq5cuUJ4eDgtWrSo0DZKJJK7n3tZoKte465cuZKtW7cCWjumzWajc+fOFZLITnLThnL27FkWLFhAVFSUsmcGNH509X758uXLXL58mQMHDjBs2DAefvhhevfurewhirNvrlmzZoECXbW/UOzX16xZw6uvvorRaCyVxEZSmCuRSCSSex37OUvMn3FxccTExACQm5tLbm4ubm5u1K9fH4vFohSPEGuBksx94n3qtWlB83ZZzqXiumvXriUkJESZ0yEvgXKfPn0qLEmipGAbu/jfwSFP9lDQPSrpWsz+vZ6envl+F+rzluWeSlx30aJFREREKL4pEeuh9rVLJBKJRCKRSCoXUpx7DyMM2oGBgSxfvpyxY8eSlJSkqfwoFu0hISHKpuFOBbrCQJ2QkMCMGTOIiIhQsv2LwDi9Xs+oUaNo3749ICvZSm4fYZyJj4/nhx9+4ODBg5w9e1azIc3NzcVsNvPll19iNpuZNm0ajz76KI0aNSpRZlaBEMOpAzMBGjZsqDx/K8T1li5dqggjHRwc8PDwkAEaFUxRFXOLEuaWlZOtevXqzJ07F4PBwJo1a5TkBmqnX1JSEh9//DFt2rQhICCgWM7GogS6wqgk/gcp4qksiHs7Y8YM9Hp9qQZdFPSam5sbbm5u+SpQqCueCQFDWaDT6bh48SJLliwBtIEnZrOZOnXqAJUjAE8ikdydVLRA91YVc+2FuVOmTAGKN/+K1/v27csPP/ygVPtTV6yUc3rFExkZyZ9//qmZy8V+vH79+jg7OwMVs2d2cnKiR48enD17ljVr1pCdna3sn0Tf/Oijj2jVqhX+/v63PJ/oX61bt2bLli3KucS6NTU1ldzcXOUzS8oW9W8+OTmZXbt2cfz4cQ4cOEBGRgYpKSnAzXHIxcUFb29v+vbtS/PmzenXr1+xAxLE+3x8fOjevTtXrlwhKysLyBN6WSwWDh06hIuLC87OzrRr167MBbri3Dt37mTJkiUa8aVIntWgQQNee+01JehSjpGVG5vNRsOGDenZsyc7d+5U+pbNZiM+Pp7t27fTp0+fAvuU6A81atSgRo0atGzZkvDwcJYtW8bRo0dJT09XhIdin6yuwCtssBaLhWXLlrFmzRpWrlzJqFGjaN68uSJWhOIJ2wsS6Do5OZGTk0Pz5s1ZsWIFTk5Oig1WUr4UNDaZTCbS0tIAMBqNODs74+DgUOyEBmJ8qVevHvXr11dsm2azWel7cXFxvPnmmyxYsABvb+9y3weLa3311VecPHlSE7AmfhfTp0+XQgmJRFKqWCwWTCaTUp1ErNcAUlJSWL9+Pa+88kqF2wXFmNyyZUucnZ0xmUyKiMxms5GVlaWsryUSieROUftJXnzxRXQ6HWvXri3UV7RixQpsNhuPP/54pRXoiipQAD/++KPiE7Lfg7Vp04bnn39e+buyfY57mRMnTrBjxw5++eUXMjIylH4m+qOIPxJ2ZyBfArT169cTHBxMREQETzzxRInELoUJdMU1hQ1g6dKlZGZmMm/ePOW52xXVSGGuRCKRSO5l1H5wgFOnThEREcGWLVuIjY0lJiaG5OTkfMd5eXlhMBiUhCk9e/akdu3aVKlSRXnP7VTTrQgRrPDRCp+Vem3Tvn17Gb9ZwagFuZcvX+bGjRsEBweTlJREeHi4Yjc3mUwEBQXh7+9PzZo16dq1K3q9XtMnS7omtF/LiWPLa4136NAhjhw5AuRV6RVr7HHjxhEYGFgu7ZBIJBKJRCKRlAwZvXOPUNimVhic69aty8qVK/MJdNVZdU6cOKEcd7sCXWGgzsjIYMqUKYSHh2ucJqK6RLNmzejXrx8eHh53/uEl9y1i4xwVFcVLL73EP//8o2RkBZQ+LAIlBUuWLOH06dMMHDiQESNGKIaVW22gxfWOHTumnF/87+TkRPXq1YHiG5mCg4M5ceKE8l6z2Uzt2rXlBroCud2KuWXtZHNxcWH27Nnk5uby22+/KX3RYrEo4oiYmBhmzZrFDz/8UGznelECXfsKWtK5WDlQZ8Qr66zoRd1b8VpZBz6kp6ezceNGUlNTNcF3ZrOZ6tWrM3bs2HJph0QiubepKIFuSSvmlkSYK7DZbLRo0YLx48fz008/KYHBck6vPKSlpSnrTHVlYycnJwYPHgxU7P3x9fXl8ccfZ//+/Vy+fFlpp9hjpaWlcfXqVfz9/YvdTi8vL2VOVwexBQUFSWFuOaLX68nIyGDRokWcPn2ao0ePKq85Ojoq90bc57S0NL755huMRiMrV65k+vTpNGnSBC8vr2KNg87OzowdO5bDhw8TEhKi2IrUe5tdu3YBNyuxiAq6ZdH/RXv37dvHyy+/rIy56qRy3t7ePPXUU3h6epZKpRVJ2SMq63Xp0oUdO3ZoklJYLBZ+//13evTooVQktz9WYLPZ8PX1xdfXly5durB9+3aOHTvGjz/+qIhs1LZOcYzaxpqbm0twcDChoaE4OTkxdepUmjRpQqdOnZS+dKu+LQS6Op2Ozz77jJycHFq3bs2PP/4ohbkVjOgvFy9e5Pz58+zYsYPIyEjS0tKUgKDatWvTvn17mjZtSs+ePYs9hjRo0IBRo0Yxb948TXI20d+OHz/Od999x9NPP10hwoqQkBD2798P5AUDiXVyw4YNadu2bbm1RSKR3B8YDAYMBgMdOnQgJCQEyAtKhJtjsVirVaRIS1y3bdu2BAQEEB4erqnmYjabNZV/JRKJ5E5R+7aFr6gwge6VK1cUX1FlFeiKtqxYsYJ3330XyC/M9fHxYdCgQbi5uWmOkZQ9W7duZdmyZfzzzz+YTCZlbhN2G8gT4gL5/Mxib2OxWLh69SoLFiygSpUqDB8+vETtqFmzJmPGjAFgzZo13LhxQ9lXq5MJrl69GuCOBLpSmCuRSCSSex29Xk9ycjIHDx5ky5YtHDlyRJNUStieHR0dgbz5PC0tDbPZzMaNGwFYvnw51apVY/r06dSrV48mTZoo64DKtuYEbZtWr16t+KXUc7vNZqNdu3bUqFGjIpt6XyLWUjk5OaSlpbFhwwYuXLjA9u3bFd9LQQghK9xcM1avXp2hQ4fStGlTWrVqpawFK2OfFIi2paens2nTJs6fP688L/Z/zs7OPPDAAxXcUolEIpFIJBJJYcgInnsAteM5KSmJatWqaV6/lUBXHQh5JwJdtTB33LhxnD17VuM0EcFwVapUYfTo0XTq1Kl0vwjJfYVazPDEE08QFRWlOH1EMK3ov+pjhFPm77//JiYmhhs3bvDUU08p/bMox4x4LTs7WzmfOL/JZFIMAMX5vWRnZ7NlyxYuXLigHOPg4EDfvn2V9svg3/KlKGGuvUCmPIW5Ak9PT2bMmEFmZiY7duxQBBFCgG4wGAgLC+PHH39k6tSpioH0VhQl0IU8B7/NZpPOxUqCOit6WQt0KwrRxnPnzrFt2zalUh+giOSbNWuGp6dnBbdUIpHcK5S3QLc8hLmQty7t3Lkz27dvJyYmRs7plYxjx46RkpKimb/F3lrs7Sv6/jRt2pSZM2fywgsvKGI3sQ+6ceMGP/74Iw8++OAt2yl+J/Xr18fNzQ2z2awkDRs6dCgLFizQvE9SdsTGxnL06FGWLFlCeHi48ryw4YixCG7uddXZwi0WC4cPH+batWv07t2b8ePHU7du3VveN6vVSo0aNXj77bcZO3YsKSkpylinFjXu2rWLrKws0tPT6devX7H26iVFp9Oxd+9epk2bhs1m01QsF3NBt27d6NixI1AxGdslJUf0wTFjxvDnn3+yf/9+jWjWZrNx6NAh+vfvj8FgKLS/2lc67du3L3379uXhhx/mzz//ZOfOnYoNSn1de1uUXq8nOzubjIwMFixYgKenJz179mTw4ME88MADeHl5KdcsbC729PRk9OjRZGRkcODAAZYuXSqFuRWMxWIhMzOTL7/8kv3792vGUDFOwk0BxP79+3FycqJFixaMHTuWNm3a4O/vX+h4qe7DR44cYdu2bRrbD9xMYLV161aqVq3K2LFjcXNzK/N5U5w/MzOT9evXK+I4deC9zWajW7dutGzZsszaIZFI7m/8/f2BPLGPmG/37NnDpk2bGDJkSIXvIcT87OfnpxHnCh9pYmJiRTZPIpHcg1Qmge7t7NvV18/NzWXp0qV89NFHAPliTKxWKx07dmTAgAFyL1TOrFy5kg8//JDMzExNhVp1UmvxnDouQwh3xb1UH9uiRQtat259W+3x9/fnX//6FzabjbVr1yoCXZvNpszFdyrQlcJciUQikdzrpKWlcfr0aT744AOio6NJTk7WJJgSiVV1Oh0mk0k5TszpYp1psVi4ceMGCQkJ/N///R+enp5MmDCBYcOG4e3tXeniH9Xrzx9++IFvv/0WyJ8UpmPHjsr6Wvosyxe9Xs+1a9f48ccfOX78OGfOnFFec3Bw0BSSEEnJhQ9T9LXo6Giio6MJCQnBx8eHbt26MWzYMJo2bYqHh0elXLOp2/TTTz+xdu1aIL9ovE+fPjz00EMV2VSJRCKRSCQSSRFUrlWmpMSITYXJZGLy5Ml89913xMbG5nufvUDX29sbk8mEo6Njvo3wiRMn+Omnn9i6dauygVEb0guiuMJcgCeeeIKRI0cC3PK8EklBCOdNTEwMU6ZMISoqSnHEqbOyij4tNuGgdQ5evnyZH3/8kY8//lh5v7rySUHXVf+vvo7FYmH79u1kZGQU6zMsX76cVatWAWgqs3bo0EHTdkn5UJgw12QyVQphrsDf35/Jkycr/USdeVgE0e/bt0/Jwi+CQm+FEOg+/fTT+Pr6KsGfwsgjRTyVD3uB7vDhw/Hx8QHy7rsYD4VAd8OGDaSnpxdrXq9IhJE/JSWFhQsXcuXKFaW/6fV65bc4ZswYKc6VSCSlir1Ad8iQIXh7ewPaymCAItD97bffyMrKKtHYWl7CXDU9e/ZkzJgx2Gw2HnvsMTmnVyIyMzOVx6IP6fV66tatS506dYq9nisrRJsefvhhRowYoXkObu5bzp8/T3R09C3PJdattWvXxt3dnZycHCWITQhz7StrSEqfsLAwPvroIxYsWEB4eDgODg4axzVoxYbqitviNb1eT1RUFL/99huzZ8/m4sWLt7xvYoxt0KABb7/9tiLQFnt5sbYFOHToEEuWLOHrr7/WBG/eLuo+m5OTw6ZNmwoU5orxsE6dOkycOFERgUjuDkR/tVgsSpCvEOGKPvzbb79x9uzZYo0z9naZBx98kJdffplNmzbRsGFDQBuYY/9YnUgLIDU1ld9//505c+YwceJEtm7dytmzZ4G8vlfQmO/p6clTTz3FL7/8grOzsxTmViApKSmsX7+eZ555hh9++EFJuKe+H/Y2SbPZzNGjR/nf//7HG2+8QUhISKHrRnGsTqfjkUceoU6dOoB2fQAQHR3N+vXr2bBhAxkZGWW6x1fPy8uXL1cC3NX2IpvNRqdOnZg1a5amvRKJRAJ5c5u6ssntjBPdu3enZs2amnldjL+bNm3i2rVrpdPgO0CM0wEBAYB2XAcwGo0V0zCJRHJPYy/QHTFiRKG+IiHQXb9+fan6iqKioti1axcRERHFPkb4gQBOnjzJu+++W6AwV9gDGjRowMyZMxVbraR8+OGHH5g3b54S/6Dub0IMC+Du7k5QUBDdunWjS5cuNGvWDBcXFwCNzcVisRAUFMTMmTOpV6/ebbdLVNAdMWIEXl5emuQdIlk73KyG9+abbwK3jgMRFCXMFTYqKcyVSCQSyd3MiRMn+PLLL3nuuecIDQ0lNTVVE2sp/NX260T1HlckchWPDQYDWVlZxMbGsnDhQubMmcPSpUs1iVkrA+IzrFixgvfeew/IL8z18/Nj2LBhynpH+izLj4iICFauXMnIkSP56aefOHPmjJIQRsSKiXWYWJuJv8Vr4l6K9WBiYiK//vorr7/+Om+88QaXLl3SrNkqgy1b+F3hpjD3008/BdCsQW02G40bN2b69OlA8eNBJRKJRCKRSCTli4zkuYtRC3OfeOIJjh07xpkzZ3Bzc2P48OH4+flp3l9UBV37SiUlqaBblDDXPrj83//+N8888wwgDdSS20en05GcnMw777xDRESE0t9EdlaBm5ub4iwSz6srmFitVhISEvj555+x2WzMmjWryMyp4jcQFBTEjh07NM4XgODgYC5fvkzz5s01x9mfb+nSpXzwwQcAigAUYPr06bRq1aoUvylJcShKmKvO+gswZ86cChPmClq2bMnQoUOJjo4mKipKE6RptVoJCQnh559/5qWXXipR+7y9vRkwYABws4Lu9evXFUOPdC5WTtQC3RdffBGdTldoVvTLly+zYsUKbDZbmWRFLy3EeGm1WnnxxRcJCQlRxlrhVIebiT569uxZwa2VSCT3ImVdQVeM2+UpzBXHPvXUU9SqVYuBAwfe8Tkld47oK8nJyYC22p7VasXT01PjDK8o1CKjdu3asXbtWo34zGq1cvXqVUJCQqhZs+Ytz2exWHBycsLNzQ24+dsRDnDZJ8uew4cPM3/+fCIjI8nNzVUCI9Vjl/o5yEt2pe6fer0eBwcH0tLSSEpK0mROLwpxf7t3784rr7zCggULyMrKKrCCbmhoKJGRkZw7d4758+fj6up6W59Z3a9Onz7Nzp07FdGvWpgr9n2urq689tpr+fb1krsDsYcfO3YsGzZsICoqSgmicXBwwGQy8f333zNv3jzc3d2LfV51v1+zZo0iygTt+K3O0i6Cg0WQknguOTmZxMREXnvtNapWrcqwYcPo3bs3TZs2xdHRUTmv+jco2io+h6T8iY+P57PPPmP//v3ExsZq7qlIuKe+Z+L+CxtkUlISBw4cIDg4mE8//ZTevXsXeb1+/foREhLCTz/9pIyLoh9arVYuX77M8uXLFXu8u7t7mcyj6qCggsQSNpuNWrVqMWrUKBwdHSulnUEikVQcYlyKjIzk888/Z/To0bRv375If2NheHl5Ua1aNaKjoxXboRiLhG+0du3aFVqRx34MVot4rFYrVatWrZB2SSSSe5+KrKCblJTEmjVr+O2336hduzbPPvssnTp1Ul5XJ3sR62SRHDg3N5evv/6a/fv3ExISAuQX5prNZnx9ffnss8+oXbv2bbVRcnssXbpUsdmJuUzMa2azGScnJ3x8fBgzZgzdunWjSZMmmuPDwsI4ffo03377LUlJSaSnpxMYGMjkyZNp27btHe9datasydixYxXfaFJSkrL/FwJdi8VSogq6txLmivNL37lEIpFI7lY2bdrEd999x4ULFzCZTIpvxn6frp77xRxnX6FUjVjziXXCvn37OHr0KEeOHOHDDz9UknZUBPZr3e+++46FCxcC2rWnaH+XLl2UWCRp5yw/du/ezfr169m3b5/iNxS+FXViH0Djf1H3VXU/Fv1aHHft2jWuXbvG4cOHeeGFF+jevTt16tS5LRtVaSOuvWzZMt555x0gvw3e09OTRx55hFq1agH5bVASiUQikUgkksqBjOa5S1ELcydOnMiJEycwGo2kpaXx3XffodPpePzxx0ss0BXnLa5A91YVc9XB5RMnTuSVV17RtF8iKSnCuXHgwAHFUacW5np4eNCzZ086d+5MkyZNyMzMJCkpiR9++IHIyEgSExMBbYBxSkoKv/zyC0CRAl2xsRUVUoR4U7wWHh7OO++8w3//+1/q1KmDk5MTkFct4+LFi/z+++8sWbIE0ApzW7VqRdeuXcvqa5MUglqYO378eI0wVyDGsNdff50JEyZojitvRCDuwIEDOXHiBGvXrlX6q1rQs2nTJvr06VNisbdaoLtkyRLi4+MZOnSoppKZNPBULioy6KIsMBgM5OTkMH36dA4dOpSvGg9AixYt6NWrV8U2VCKR3NOUpUBXr9eTkJDApEmTykWYK64p1rZSmFt5EH0kLS0NQOP8VYuvKlOFxGHDhvHbb79x6NAhTTvNZjOhoaEMHDjwln3LYDBgMBjw9fWladOmUphbjuzbt4+ZM2eSnp4OoMn6ra6Qa7FYMBqNODo6YrVayc3NVfqnWFuKDNU+Pj7Mnj2bRo0alagtTk5O9O3bl+TkZL766iuNQNdisShjbEZGBps3b+bixYuMHz+ejh07EhAQoEncYr9vVzveHRwclH713XffsWvXLo4dO5ZvzFUnZPrwww/l3vwux2Kx4O3tzejRo/n888+VwAzRj8PCwkhKSiq2mFEdgPT9998rwbciYFecPygoCJPJxJUrV5Tn1DZS+0oC2dnZxMbGsnjxYjZu3Ei9evWYPn06NWvWxN/fv8C1RGXau91PREdH8+qrrxISEkJubq6mIlNB96Qgka4IFMrNzeXpp59m4cKFPPbYYwWuG0U1yJdffpkzZ85w/PhxTSJMMUZeuXKFX375hZSUFJ566im8vLzKxOb+ww8/FFhJAsDZ2ZkePXoo46bsoxKJRKAW5o4cOZKUlBQyMzNxcHCgdevWJQp+tNlsuLu789RTT/Hyyy+Tk5OjHOfg4EBmZiZvv/02rVu3pkaNGhW2t1ALziDPtqDe60kkEklZURG+IpPJxN69e1mzZg2JiYnExMTwxBNPMHXqVJo3b07fvn01+ym4uS86e/Yshw4dYtOmTYSGhiqvqauqiX26t7c3P/zwA/Xr17+j70dSMlatWqX4hgsSTHt6ejJu3Dh69+5NixYtlONE7ISDgwNNmjShadOmtG3blp07d7J9+3a6du3Kww8/jLOzc6m009/fnzFjxgDkE+gKu1BxBbpFCXPFPl4KcyUSiURyN7Nq1So++ugjxS8p5kS14FY8py6MIhJK5ubmagqYCB+LWhyp9u/k5OTw119/MW7cOObMmUOLFi1uOwkr3CxIYLFYlJhNyC+8tUc954eHh7NmzRqWLVumtN9+jdO4cWOeffZZvLy8brudkpKzbt06PvvsMxISEvIV5xG2dXWSFGF/V/t91PG7wi4v3iNeNxgMpKSksHDhQk6ePMnQoUPp0qWLJonQ7ZCRkYGrq2uJzqN+X3JyMsuXL2fRokWAtm+K32bLli0ZPXp0hQrdJRKJRCKRSCS3pnJEeEpKREHCXLHhFY7ob7/9lvT0dKZNm4anp6fm+KIEuiaTqdgVdEtSMXf8+PH83//9n6b9EsntIDamW7Zs4fr164qDx2QyUa1aNf73v//Rtm3bfP2+TZs2bN26lbVr13L+/HnNprwkAl2Apk2bUrduXSIjIzXBeAaDgePHjzNr1iy6detGr169lOomv//+OydPnsyX+Ven02E0Gunfvz+tW7cuo29NUhhCIDNgwACsVitOTk7k5uYC2mCZvn37KsLcihzDhCHHxcWFV155hWPHjnH58uV81QKuX7/OuXPnaNWqVYkd6t7e3gwcOJCMjAzi4uKYO3cuIJ2LlZmKFuiqj8/JyVESE5QUi8XC1atXeeONNzh69KhGmCvO7+zszKOPPqrJvC6RSCRlQVkKdC0WCzVr1iQ5OZnMzExlPVsWwlxBYUlnJJULdZ/JyckB8pyGFY1YA7dv315JoCGElAB79+5lxowZxRYST506VRHyyHVm2bNnzx6mTZsGFFztRNC7d29atWpFly5dMBqNmEwmMjIy2LNnD6dOneLYsWOKMNfLy4spU6bQvXv327p/Xl5eDBkyBJ1Ox+LFizWZsNWiYb1ez9mzZ1m4cCE+Pj489dRTNG7cmKZNmxa4L1MLNeLi4ti0aROHDh1i3759ynvUAb9q+9Ynn3yiVLOsbElsJMVH9It27dopwRmi3+t0Oi5fvsy3337LvHnziiXMFf2gKGHuyJEj+e9//0tUVBQ//PADhw4d4tKlS5jNZuUa6sqqajuS2WwmJiaGa9eucebMGfz8/Ojfvz8jRozA29u7rL4mSTG5evUqzzzzDOHh4YB2rlYHrqkz80Oe3c++irJY87388st4enrSo0ePfOONOKfRaOSTTz7hySefJDw8XDmnuoJudHQ0a9eu5cKFC/zvf/+jevXqd/R51XNyXFwcP//8M4sXL9Z8JsgLWGvSpEmB/geJRHJ/oxbmjhkzhpSUFOBmshiLxcL06dNLJNAVrwcGBmqq54r9iIODA/Hx8bz99tvMnz8fT0/PClnLiXWBEJqJOUHYD+yTKUskEklpU16+InGuEydO8Mknn5CYmKhJMvf1118ryRh8fX1p0qQJKSkpJCYmEh0dzfHjx5X9lHqvJgLoxXkCAgL46quvaNCgQWl/VZIi2LlzJ59//jlQsGC6WrVqvP/++7Ru3Ro3Nzcgr08I8Y6ahg0b4u/vz4ABA6hSpUqp7x38/f3517/+BWgFukCxBbpSmCuRSCSSex21bVudeFDMiWK+9/LyIjAwkC5duhAUFISHhwe+vr7YbDZiYmJITEwkLCyMQ4cOce3aNWVfLmzd9kJJBwcHQkNDmTt3LtOnT+ehhx6iatWqJW5/YmIiq1evZvXq1TzzzDP07t2b+vXra+yxBSV0FY9/+OEH9u3bx99//620S114yGQy4efnx0cffaRUJpWUD8uWLeP9999XfJX2VXHF8xaLBQ8PD1xcXGjQoAHOzs44OztjtVq5ePEiWVlZXLt2TWOLEaj9Mg4ODmRnZ7Nlyxb++ecfnnzySYYPH67ZS5WEq1ev8ueff+Lk5MSIESOUxMdFnUedwGjPnj1s2bKF3377DSjYBh8YGMjcuXPx9fUtUdskEolEIpFIJOWPzlZZIj0lxaIwYa7aMCwCC8eMGcN//vOfW57rypUr+SroQl4gENwUNk6YMEER6Obm5mI0GostzH3jjTc015RI7oSDBw/y5JNPaoKJvby8WLJkCS1btlTeJza7wpmYlZVFcHAwX375JSEhIfkyawF4enoyatQoXnrpJaDwPjt37lzWrFmjbJbVDku18xBuismys7OVv4VzR1z3X//6F2+99ZamzZLyIz09nZkzZ7Jv3z5NYKXaiFezZk2mTZvGI488UimCY0W/3LZtG2+++SapqalKe4XBMyAggFWrVuHj43Nb18jIyMjnVJVUbtQBup999pkSdAFoxiqbzUbdunUZO3ZsqVbQPXz4MBcuXODBBx8kKCioyPeqA5d1Oh3x8fH8/fffLF26lLNnz2qEuepxety4cVIwLpFIyhUx1uTm5vLxxx8rAl3IG1vF2i8oKIhx48YVKdAVz0VHRzN//nwOHDiA2WxWzlEWwlxJ5UT0hY8++kgJWjSbzcr82KJFC9asWVPRzczH6dOnGTt2LCaTCcjLNBwYGMiGDRswGo1FHm//u5ACyLLn77//Zvr06eTm5hbo1IWbyYh69erF448/XuA5xHj09ddfs2PHDsLDwxk5ciRPPvnkHYsMbty4wR9//MHChQvJyMjQtFEt0lXvs318fGjbti1BQUF06NABBwcHPDw80Ol0REREEBERQUhICMHBwSQnJyvHiaBfQHNOX19f3n77bXr06KG5ruTuZ+HChXz33XdAnpDSarUSGBjI+++/T8uWLQu938UV5g4bNox3331Xc+zZs2c5deoUS5YsIS0tjdTUVE3wr9rmIK4h9kAWi4XGjRuzbt26SlM5/X4lMjKSSZMmERMToxk/7BMb1KpVC09PT/z8/EhLS+PixYuYTCbS0tLyBQHZbDYlQaaTkxPff/897dq1K/D6Yuw9e/YsM2fO5PLlywVW0BX4+fkxf/58mjRpogTqlGQ8U7/3jz/+YOvWrWzbtg0oOCioVq1afPfdd9StW7eY36hEIrkfEGNJREQE48aNIyEhAUdHRyW5gNFopEuXLopAV31Mcfj666/56KOPABSboTiHj48PkydPZty4caVWka+k2Gw2Bg0axMWLFzX+hcDAQNatW6ckc5VIJJKypDx8RXFxcYwdO5aoqCglvkT4KO2rVKkRY6P93l+M6WK93LRpU95//3251ixnzp49y/vvv8+hQ4cUUQTk7QF8fX35+uuvadq0aQW3ND8xMTGsWrUqXwVddX+z2WyMGjWKefPmAWhimwoS5tr7KKUwVyKRSCR3I8uWLeOdd94BCrbxGY1GPD09GTNmDD169KB58+bKseq1ofqxxWLh6NGj7Nu3j7Vr15KRkYHJZCpwjSdEszVr1mTChAkMGjSoRCLD3NxcfvvtNz799FMSEhLQ6/V07tyZzp07M2HCBKUoij0XL17kzJkzrFmzhqNHj+ZLqqj+DqpWrcqKFStkUphyRu13Udt41DHrAH369CEoKIihQ4fi7u5OtWrVNOfJzs7GarWye/duIiIiWLNmDWlpaaSlpeVLBmTvc3RxceGll15i/PjxQMnWeGlpafzyyy988cUX6PV6unXrxuuvv46Hh4fGLmW/x8rMzCQrK4tPP/2U4OBgLl++DBTcN729vfnpp59k35RIJBKJRCK5S5Di3LuI4ghz1RUb5s+fDxTt2C5KoKsWeUGeQLdPnz4YjUbS0tKYMGGCFOZKyp3Vq1fz5ptvKo5FNzc3/vvf/zJo0KBbOg3NZjP//PMPH3zwAUePHtVsqNUC3dGjRzNr1ixA23fFJjwlJYXp06dz4sQJjTBD7aRSb5jVwXLqgJFBgwbxwQcf5LuOpHxJT0/nzTffZMuWLZqAXcgz+vj5+TF9+nQGDBhQaSqCXL16lRdffJHQ0FDNOGwwGPDy8uLrr7+mWbNmdxRcLgPT7y4qSqB79uxZPvnkE/7++28aNmzIiy++SM+ePfO9r6BrHD16lO+//55Tp06RkJBQYMVcq9XKkCFDeO+99wA5XkokkvKltAW64nzR0dG88847/PXXX1itVl5++WWefPJJzXsk9z7C8ajOBKzX6/Hy8mLDhg1Uq1at0vQFm81GfHw8I0eOJD4+XunbOp0OV1dX1q1bR2BgYAW3UqLm5MmTvPjii8TGxhaYCRxgzpw5PPTQQ8q9K2idpR6Tjh49SmRkJC1atLhlQpbikpuby549e3j99deVxEOAxlkOec5o+2zowhYlxmo1wkZVkGPfxcWFxo0bM3PmTDp27AjI/c+9griPu3fv5tVXXyUtLU3ZY4h+8Oqrr/LEE08UeTwUX5gr+pl6zI6IiODcuXMsW7aMM2fOkJWVBaDZ80CecNhsNtO6dWuWLl2Ks7Oz7I8ViFpUVlhig549e/Lggw8ycuRIjEajEnATFxdHaGgo69atY+fOnco51eOQOE/r1q1ZuHAhAQEBRbbn4MGDvPXWW0RERGjaIxDnq1KlCr1796Z///489NBDyusFrS3V9gO9Xk9GRgZpaWksXLiQEydOEB0dDRQcFOTl5cXy5ctlUJBEIimQ9PR0Bg0aRGxsLEajUZPY53YFuuL1pKQkXn75ZQ4cOKCcU7wO0KRJE2bMmEG3bt3KNcmFaN/OnTuZMWOGpiKk2WymZ8+efPbZZzg6Olaa/Z1EIrm3KYmvqF69eowdO5Zhw4YV21e0c+dO3n//faKjozXVSQsScIh22ItwxfvUr1evXp3u3bvz7LPPUrNmzTL8hiRqRH/59ttvWbRoEdnZ2cq9EnOZj48PK1eupE6dOpV2r3o7Al1AVsyVSCQSyT3L2rVrmTt3br7kKGJ+9/T0ZOTIkfTp00fZn0NeVfmCsH/t2LFjHD16lK+//pqMjAwgrzqvvU/G19eX0aNHM3r06FsKdMV8e/DgQV555RWuX7+O0WjU+ICaN29O9erV6dixI66uruTk5BATE0NcXBx79+7FZDKRlZWlEWiqbfJWq5VatWrx9ddfSztnObNixQoltr2gvunq6kqHDh0YPHgwjz76qOZYdbEesWZTExkZydmzZ/nhhx8ICQkpUJgtEK/NmjWLqVOnas5/K7Zt28b//vc/xYdgNpupXbs2nTp1ol+/fgQFBeHn50d2djaOjo6Eh4dz7do1Nm3aRFhYGBEREcq51LHF4vfi4+PD0qVLadiwYbG/V4lEIpFIJBJJxSLFuXcJJRHmDh8+nLfffhsoerNsf+7iCHRbt27N008/Tbt27Zg4caJGEAbaACUpzJWUNqIfzZgxg23btilGl44dO/LOO+9Qq1atYp3HarUSGhrKggULOHr0qGIUEq9B0QJduLk537dvHx9++CHnzp3L58hUY1/RVPw9YsQI/ve//xV4fkn5U5BAV9wv8djf359p06ZVKoGuEKsDGkeozWZjypQpzJ49u6KaJqkgylugm5SUxKJFi1i5cqXm+eHDh9O8eXMee+wxAKUyRGpqKpmZmWzbto2zZ8/y66+/KsfYVyMX7Xz00Uf58MMPATleSiSSiqGsBLpRUVG8+uqrPPzww4pASAb33F+sWbOGuXPnaoLFBN988w3du3evwNYVzIQJEzh69CiQ57Q0Go1s2LBBOq8rEREREbzzzjvs27cPQON8FgKJDz74gEGDBinHFLUWVL9mMplwdHQs9TZfunSJ119/nbNnz5KVlZUvcZJAvccWznf7fb3alqUOABZ2Kz8/PwYOHMjQoUNp1KjRLT+/5O5l6tSp7N27N18f8PT0ZNmyZTRu3Fjz/tsR5hZnj7J582aOHj3KqlWrlEANYdsVNt/mzZuzYsUKnJycimXTlZQNERERjB07lsTExELt3hMnTmTChAnUrl1bqf4g7PPqddxXX33Fb7/9pmS/t6/y6OnpyYwZMxgzZkyRa0CLxcLx48f5z3/+w6VLlzSVnASifWLcHDZsGM2aNWPo0KHodLpCqzXGxsZy4cIF1q1bR2hoKBEREco5Cko4WLt2bZYsWSLnfIlEUiTffPMNX375JVlZWZqx704EuuI933//PYsWLSInJ0fZQ6nXjB06dOCll16iVatW5b62+/jjj1myZAmAJuh34cKFio1UIpFIyouyFuju3r2b1atXs2vXrgKr4ULeWFhQki17v3mrVq0YPHgwAwYMwNvbu6y+Fokd4v5cunSJMWPGkJKSouwDxB6jWrVqfPXVV7Ro0aLS++gKE+hCXnJ1+ziNCRMmyIq5EolEIrnn2Lt3L/Pnz+fq1asaG596fl+wYAFt2rRR7IYlmefs33v+/Hnmz59PWFgY6enpmgql6se+vr5MmTKFoUOH3jLuTh3LLNaa6nPZry8F9j4kyB+DZDAYaNSoER999BH16tUr/hcruWO2bNnC3LlzycjIKLBvenl58eKLL9K5c+c7SgptsVj49ttv2b9/P8HBwUB+ga66Su/s2bOZMmUKUPhvQfSjU6dO8cILLyjJkcX7hf8AoGbNmlStWlUR58bExJCamqq8bl+4Qh0nEBgYyOLFi6lfv/5tf36JRCKRSCQSSfkjxbl3AbcrzC2JYbwkAt1WrVpx/fp1oqOjZcVcSbkiNqMTJ07kyJEjysb0jTfeYPz48SU6V2kIdLOzszl48CCLFy/m1KlTipPGvroPaAP4/Pz8eOyxx3jppZeA4onoJeVDcSroVhaBrtpZOmXKFGJjYwFtIPpjjz3GwoULK6yNkoqjPAW6ixYtYtGiRQDKWKY2ODZo0AAHBwfq1KlDTk4OERERmEwmoqOjNZXOxDpDPYbabDZGjhypZEyU46VEIqlIykqgm56efltOT8m9wZUrVxg3bhw3btxQ5j+xd5g8eTJz5sypNHtq0Y5///vf/P333xrntoODAz///DNNmzat6Gbe99hsNsxmM8uWLWPJkiWaSrTqfemSJUvo2bNnRTZVg+hfcXFx/Pzzz+zdu5czZ85o+pkYYwsK8hXP2wf8gvZzAzRr1oxZs2bRrFkzGfB7DyPm1EOHDvHSSy+RmJioqcxkNBp5+eWXGTt2rNL/ykKYa//6gQMHOHLkCOvXr+f69evK861atWLZsmVSmFvBqIW5wjYO2nHkueee47nnnlOOKWidp77v69at4/vvv+fixYtA3tgk9r5BQUGsWrWqUPGsmvDwcGbNmkV4eLhi+xF7f2HbFGJhQa1atfD19aVDhw44ODhQtWpV9Ho9ERERxMbGEhYWRlRUlPL+woKCdDodDzzwAB988AF169a9jW9XIpHcD6j3tMuXL+e9997DZDKVikBXvJabm8uzzz7Lvn37NDZFdUBl165defnll2ncuHG5CXSDg4N55plnSEtLU+YAm81GkyZN+Oijj+TYKZFIKoSyEOiqx/rw8HB2797NRx99pBFAqv3latR7MrG+dnd355FHHmHGjBl4e3uXSTIwSdFkZWXxxhtvsHnzZmVuFfOqh4cHb7/9No888ki5JTW70+sUt4LuyJEjuXbtGgcPHpQVcyUSiURyTxEREcGHH37IX3/9hdlszucr8fX15dtvv82XuPJ2EXNkQkICP/74I9u3byciIiJf3J1YH9asWZMXXniB/v374+zsXOh5f/31V1599VUAja1WvVZQ+4fUdlK1TRNQXrPZbPj4+NCpUydmzpxZ7EIwktLh+PHjvP/++5w8eVLzvEgs7OPjw6JFizSVnG9nbaj2+YSHh7Nu3Tp+/PFHQFulVvwt+tabb77J2LFji7xuWloaTzzxBGfOnNGsIe1/Z/Z9X5zTPqmReq3q6upKixYtmDdv3h0JkyUSiUQikUgkFYOM8qnk3EqYqzYe364wF/KyRNatW5eVK1fmE+iK81ksFmVzpBbsSmGupDxQG0wMBgM6nQ5XV1datmwJlMwhotfradasGa+++mo+ga7YHKekpPDLL78AMGvWLKXPiz7t7OxM9+7dqVWrFh9//DG7du0C8gKFRZutVqvy+xg8eDC9evVi4MCBwM3fiAy4rDy4u7szb9484GamNrXTWjjjYmJilOz3FSnQFb+H+vXrExQUpAgdIa8PHjt2jKSkJCXwUnL/IPqtXq/nhRdeAFCCLsTzor9cuXJFqXpbUoHutm3bFGGu0WjEZDIpxkO42RdFAPK5c+eU48Q4KoyM6oBnsbaoWrUqQ4cOZc6cOYAcLyUSScUjxlaj0cjMmTMBFIGuGFvFe8LDw1mxYgVAoQJdMVYKIYZ6/JTcP7i4uGjmbavVqsyFe/fu5dlnn73t6valjVgPG41GQCsucnZ2LpaoSFK2iH6SlJTE2rVrSU1NzVctFODTTz+lZ8+elaJfCYQzvEaNGkyfPp0xY8bwxRdfsGvXLuLj45XAUNA6sdXtVzu+1RVexOfu1KkT7du3Z8qUKUUGfEjuDUR/qVevHr6+viQmJmqq5GRlZfHzzz8zbNgwXFxcNPae0qyYqxbn6HQ6unbtSteuXRk7diwrVqxg//79pKenS2FuJcBemCuqjKvt3urs+YKCxlF1Fd3hw4eTlZXFZ599RlpamiYox2AwEB4ezoYNG5gwYcIt2xgUFMSyZcuYNWuWku3fPnmnuK5YW0ZFRREVFUVISEiB5xTtF34GdZI6cc7q1avToUMHZs6cSe3atYvxbUokkvsV9d5m/Pjx6HQ63nvvPXJzczXBhiLx1d9//w3AtGnTaNOmTb7kK2pE8gGj0chHH33E2LFjlWQFYh8l5voDBw4A8Pzzz9O8eXNlPi+rtW9ycjJ//PEH2dnZms9ps9no2LGjFOZKJPcx6rGnIuImSuIrunz5suIrKkqgq05WHRQURFBQEO3atWP16tWcOHGCiIgIzfvVCeHh5nfi6OiIk5MT48ePp23btpUqedj9hLiPCQkJnD9/HkCxS4o5d/jw4bRv3x4oeO9TWm0oiIJiP4ozn/v7+zNmzBgAjUAX0KwX1qxZA6CpmCuFuRKJRCK5mxHz1dGjR9m3b59GIChsnD4+Pixbtox69eqV2vwmruHj48O0adNo0qQJy5Yt4+TJk8o1xBrDYDAQHR3N4sWLqVOnDm3bti10nTx06FAcHByYPXu2YqtVxyIJxGO14FHtw1Tb95s1a8bAgQN5/PHHZfLWcsRms5GZmcn27ds5c+aMRpQqYuN9fX1Zvnx5PlHq7axB1QmDGjVqxGuvvUbt2rV57733FFu//T7NYrHw4Ycf4uLiwrBhw4q8bosWLUhPT1f2PuJ4deJM+z4qzmcvmBd9MyAggN69e/Pkk09So0aNEn9miUQikUgkEknFIyvnVmLKo2JuYdcsrIJuQdVIpDBXUtqog8gK2uiOGTOGEydOAODt7c2GDRtue1NqX0FXbXQqbgVdwerVqzl//jx//PEHFouF1NRUqlSpgpeXF82bN6dfv3507NhRVka7Cyiogq4wolSmCroiaPfLL7/ks88+04zHAD4+PmzatImqVatWSPskFU9ZV9Bdv349y5cv5/z580p/FIbEwiqX2f8tUAtGWrduzZAhQxTnuVxTSCSSwlCPc+W1rirtCroSyQcffMD333+vOOzU1XOfeeYZnnvuuUq1b3jmmWf466+/NPN8lSpV2Lx5M9WrV6/g1kmsVisvv/wymzdv1ojDhDP4v//9L6NHj67gVhaf4OBgwsLCWLp0KZmZmSQnJyuvid+Keq2o3g8BeHh40L59e7p3707//v3x9PRUvg+5vrx/2Lp1q5JYwz57+cyZM3nyyScVQWxpCnMLQx3sYTKZMBgMiv1VCnMrhoIq5trbvefMmcPkyZOB4mfrV69R33rrLX7++ecC7esjRozgf//73y3PJ/pObm4uX3zxBX/99Rfh4eEA+TLu2ycvEAkExWN7Ia+60plYj9hsNlq0aMHjjz9Ov379ZMCaRCIpNurxb8WKFfkEupC/gq4Q6ELR46wYCw8cOMCbb75JVFSUxl+qTv7XoUMHpk6dSseOHTEajaW+Jxfn+/PPP3n99ddJTk7WtKVt27Z88803uLm5SXuARHIfIsbCtLQ0qlSpUuB71GvCshwjytJXJF7PzMwkJyeH33//natXr3L48GESExPR6/VkZ2djMBho1qwZ1apV49FHH6VOnTo0aNAgXxsl5c8XX3zB559/rkmUbrFYqFatGp9//jlt27Yt1evZ3+vr168TFxfHwYMHSU1NJTo6muzsbJydnWnYsCHVq1enV69eVKlSBaPRWOy+UlQF3YL2ZVKYK5FIJJJ7gejoaEaOHKkkq1T7iKpWrcqiRYto3759mfhIxLyam5vLsWPH+PLLLwkODi407q5Zs2asWrUKJyenIttz8OBBPv/8cy5cuEBqaqpiB1WfU3199dwubLt6vZ7+/fvz3HPPUatWLZycnEr1s0sKR/TB48ePM3XqVNLT0/Ml2a1WrRrfffcdTZo0KVP/3aZNm1iwYIFmL2Qvom3cuDH/93//R8eOHfMdL/pYeno6v/76K5s2bVKSYtrb4O3XnOI9kOefEu/r3Lkzo0ePpkuXLnh4eJTJZ5dIJBKJRCKRlD0y2qeSUl4Vc+25VQVdNWIDIZ6fNGkSr732Wqm0Q3J/IvqUcG7cuHGDuLg40tPTcXJywsXFhaCgIPz9/QkJCVGcIyLQ4nYQFXTnzJnDe++9pxHoFreCrng8atQoACZPnozBYCA+Pp4qVapQvXp1HB0dlQpT4rNKJ07lpaAKusIwVJkq6Iqg3aZNmwJaY45eryclJYUbN25Ice59TFlX0H388cfx9fVl/fr1bN26VQkmVwfyAprH9thXGB8/fjx9+vShU6dOQF4VIIlEIgGIiopi9+7ddOrUCQ8PD3x9fYG8ILLy2IeUdgVdiaRu3bqKo044AcUe5/jx40RFRREQEFDhgWDi+unp6ZpgPavVSrVq1WT/rmDEdx8WFkZYWJjGoSz605gxY+jfv3+Zt8H+8e0g+luHDh3o0KEDDz30EElJSWzevJnr169z4MABzGYzubm52Gw2zGYzrq6uODg4UL9+fRo1akSTJk3o3r07NWrU0FR2FkEZkvLlVonYynL8aNGiBa1bt+bkyZP5qpSfOHFC6Q/ffvstH3zwAVB2wlzIq6ZrMBiUx8LeKyl/ilMx99VXX+WJJ54AShaYrU4GMHv2bE6dOkVoaGi+oPcdO3YwZcoUAgMDi/wdCJuk0Wjk+eef58EHH+SPP/5g9erViq/AXqSr/l/9uKDAIHXAmoeHBw899BDPPPMMNWrU0Ng1JRKJ5FaobZLjxo0DKLUKumLubN26NdOnT2fRokXExcUVWEE3ODiYrKwshg0bxuDBg6lSpUqp7atE+86cOcN///tfkpOTNb5bX19fhgwZgrOzs9wnSST3IWKsiYiI4LnnnqNq1ao0atSIdu3a4e3tTcuWLdHr9Tg7OwN5a7OySthTlr4i8byLiwuurq5MmjQJgNzcXMxmM1arVRn/i/JXSr95xXH+/HmlD1gsFo0dqTSFuWrbOcCuXbsICwtj9erV5OTkcOPGjUKPbdq0KY0bN+b555+nVq1axbpeURV0BWqBhBTmSiQSieRuJzc3l6VLl5KYmKhJrG+xWHBxcWH69Om0atUKoEx8JGJeNRqNPPjgg7i7u/Phhx9y6NAhTbIYYcMMDQ3l1Vdf5cMPPyyyPZ07d8bf35+jR4+ycuVKQkNDgTzfl3oeV4tyhd1z9OjRtGnThqFDh5b6Z5bcGr1ez40bN3jnnXdIT0/XxJSZzWaqVKnCW2+9RZMmTcosPkz0v0GDBuHk5MRHH31ERESE4p9Xc/HiRTZu3EhAQAA1a9bUvCbsVe7u7owaNYouXbrw9ddfs2XLFkwmk+LnUZ/Xvkqw2WxWbPCNGjWiS5cuzJo1C0dHx1L/3BKJRCKRSCSS8kVG/FRCilMxtyyEuYKiBLoiOMme7t27K8Lc3NxcGawjKTHqQO/z58+zbt06jh49SkREBJBnwBk6dCihoaGaYLPr169Ts2bN23aO6PV6HnjggdsW6Nr/7oRDyM/PT/P51MhAjMpPQQJdETRZmQS6gGKgUfcz4TzNyMiQwT/3OWUVdCGO7d69O/Xq1aNDhw4sXLhQEUios1WqDY9CeKSutOvp6Ymvry/PP/88ffr00QSoS6e3RCIRREREMGbMGJKSkpRArjZt2lC/fn2aNWtGq1atcHZ2xsfHp8DjS1O4KwW6ktJkxIgR/P777xw5ciRfVudDhw6xYcMGXnjhhSJFbeWBXq8nMTGRixcv5mtHmzZtCq0CIykfxP04cOAAly5dUp4TY1GdOnXo169fqe9Z1H1BJF3R6/VcuHCBrKwsUlNTycjIwNnZmaCgIIxGo2acLmxstl8D1q5dm9q1a9OyZUsA4uLi0Ov1ZGRkkJCQgNFopEaNGpjNZqpWrYqbm5tyrNgnqX9fkvLDPvg2Pj6e9PR0MjMzuXHjBq6urtSsWRO9Xq+xo5TmeFe7dm26dOlCSEiIskcR19i9ezd//PEHiYmJ5SLMLQy576kYylKYKxDBYU5OTtSrV4/Q0FCNSFwEIRW3zwvxmYODA127dqVr1660b9+enTt3cuDAATIyMoC8OUBdPV2NWoyr/rw6nY5x48bRoUMH+vXrV6LPKpFIJGrKUqAL4ObmxsMPP0xycrISfFyQQPeff/4hKSmJixcv8swzz+Dj41Mq6wydTsfZs2d57rnniI+P1wSXArRv355HHnlEJoWRSO5DxNgXGRmp2DIBgoODWbFiBXq9ngYNGuDq6kqnTp0ICAigadOmBAUFFbjWLK3qumWdzNU+WZfBYNDEjKj35ur3SyqWqKgojhw5ovjx1PuIDh06AKXjqxPnEJX0tm7dyurVq5W9iIODgyaJu32idJGMbt++fcyaNYtu3bpRo0aNW163MIGuWIeAFOZKJBKJ5O5HrL+ysrI4ceIEoBWums1mGjVqRNeuXctNAGgwGHjggQeYMWMGH3zwAUePHgXy1qRwcz144MAB1qxZw+jRo4s8X926dalbty6PP/44mzZtIiwsjL///pu4uDhMJhM5OTlKBd66devi6elJ3759admyJa1bt1bOI+f38kV838HBwURHRyuxYnDz/js4OPDoo4/Srl07oOz8JGof+yOPPIKDgwPvvvsukZGRmveJ38vmzZtp3bo1I0aMyOcTUovQ69evz4IFC+jduzenTp1SkmhmZmZqzivWnaJKsI+PD2PHjqVt27YEBQUp75F7JIlEIpFIJJK7G52tsDJmkgqhKGGucFKLx2UhzC2oLVeuXMlXQde+El6HDh2YOHEivXr1wtHRUW4WJCVC9LW4uDgWLVrEkSNHiIiI0FSDsNlsmEymAisxzp49mylTptxxO6xWK2fOnMkn0BWvAXh6ejJ69GhmzZqlabvk3iU9PZ0333yTLVu2KE5BEWQjHvv7+zNt2rQKE+ieOnWK0aNHK78ZuGkwcnBwULK5SSoO+zmxooy96kyUn332mRJ0AXkGTuGMrlu3LmPHjr1l0IX982FhYWzbto09e/Zw9uxZzXvV/VNQo0YN6tSpwxNPPEGjRo1kX5VIJIUSERHBuHHjFAGWqLitXhu6urpStWpV2rdvT7Vq1ejSpQu+vr7Url1bUzFRzZ2Oyeqgoo8//lgR6ELe2CrWkUFBQYwbN04KdO8x1PfxdvqTCPxatGgRixcv1lS7U1ev+/DDD3n00UdLt/ElbKdOpyMyMpJ//etfJCcnazL8Pv3007z44ovSqV2BWK1W0tPTmTp1KiEhIfkqJ06YMIHXX3+91K5nP4Zdu3aNhIQEfvnlF2JjYwkODlb6r8DLyws3NzeGDx9OixYt6Nat221ft6i9uHrdK/tjxWOz2YiKimLnzp2EhIQQGhpKfHy8Uj0JoGrVqjg7O9O9e3cCAwMZMWIELi4uODk53fF9FH0mKSmJp556ijNnzijrBxEE7Ovry/Xr14GKEeZKKgZ7Ya6weZemMFcg+uH27dt54YUXlP2xWiD7xRdf8PDDD9/WeQFSU1OJiorip59+4uLFi5w8eVLzXvU1xbECFxcX6tWrR9++fenYsSNt2rQp8BoSiURyO6jHzxUrVuQT6EJekhej0UiXLl0UgS7cehyKi4tj5cqVrF27ViPQVZ8Xbs7x9erV49133yUoKAgnJ6dinV9gP+aeOHGCN998k7i4OGXtLcb0oKAgFi9eTO3atW/zW5NIJHcr6oq5Yq1pNBoxmUzK+KQWBYq9iYuLCz4+PtSsWZMuXbpQvXp1OnbsiLOzM97e3gVe43ZFrmXhK5LcvVy+fJkxY8aQmpqqSbTr5+fHzp0772gPbN9fYmJiWLBgAaGhoVy9ehXQ2tAL2quAtrqt2WzGw8OD0aNH8/jjj1OvXr1itSUmJoZVq1blE+iK/6UwVyKRSCT3Aj/++CPvvvuuJgmwmFfnz5/PyJEjy73QG9IkAAEAAElEQVRNZrOZgwcP8vHHHxMaGqpZG4i29e3bl/fffx9nZ+ci15v29vn09HQyMjJISkoiPT1dWa8GBgZqErhKKp6XXnqJzZs3K/dWxFu6urryxRdf0Llz53Jph7p/bd++nbfeeoukpCRNpWmx5vT29uaXX34hICDglkUtBFevXiU6Opr9+/eTnp5OXFwcOTk5VK1alZo1a1KtWjUefvhh3N3d8fLyKrBdEolEIpFIJJK7F1k5txJRnIq5wmHz+OOPl6kwF4quoKsW6MLNTK8mkwmTycSAAQNKJXur5P5A9N9r167x7LPPEh4enq/CogjWVD8n/lksFnbv3k2/fv3uWNR1pxV0JfcmBVXQFeNxRVfQVSdREGOyOtuam5sbrq6u5dIWScGo58LQ0FAaNmyI1WrF2dlZ8z5xL8ty7rydrOg6nY5hw4YVGnRhbzhv2rQpjRs35rnnnmPPnj1cunSJsLAwrly5gpOTk7I+aN26tVJtt169evnOI9cPEolETWRkZL6KZmKsEGObwWAgMzOTzMxMfv/9dwBWrlyJzWajfv361KlTh3r16tG5c2e8vLxo3LgxoA04U1d8LC6ygu79h321EvX9u517KZx8//rXv1i/fj1xcXEFVntavnw5tWrV0mR3Lk/EZxP9W/xOhHNyyJAhgKz8WJHo9XpSUlKUqrlCmKvX66lWrZpSraw0ggvVe+DExET27t3L999/T3x8PCkpKcr7DAaDYucyGAykpqZy48YNPv30U6pUqcLgwYOZMWNGiaouqwMyC0O9j5dULHv27GH//v1s3LiR5ORkzWvqqjjitTVr1gDw66+/0qZNG8aNG0eTJk3uqA2iz7i7u/PAAw9w5swZZWwVvxMhzFVXy5HC3Hubgirmikz9pS3Mhbx+KIRgQigGeeO1/W+kuOcVa5IqVarQtGlT3nrrLfR6PQcPHiQ2Npa9e/eSmJhIRkYGsbGxuLi4UK1aNQwGA82bN6dJkyY0adKEpk2bFlg5Q65VJRLJnVLWFXRr1KjBmDFjcHNzY/ny5cTHx2vs9+qkx+Hh4Tz55JOMHDmSrl270rlzZ+W8omofaO2T6mp+ACdOnGDHjh1s2LCBGzdu5BPm+vj48Omnn0phrkRyn6LX67l8+TKTJk3KZ8tUV4gS/4ugdJPJxNWrV7l69SqHDx8GwMfHB6PRSJs2bQgMDKRhw4a0bNkSNzc3vLy8CkwKWxxbY1lX0JXcXcTGxpKcnKy572pfs9Vqve0Ke+J858+f58CBAyxbtoyYmBjldXVCDXFde3ur+jWLxYKDgwOpqamsXLkSk8nEhAkTqFWr1i3bUlAFXXUslhTmSiQSieRe4Pz58/mKTgC0b9+egQMHAuUfj+Pg4ECHDh0YNWoUX3/9NdHR0RqBptVqZfv27XTs2JFx48YV2TZhnxefwc3NDXd3d2rUqFHg++WcXjn4559/+PvvvzWicWETHzNmTLkJc0FrT+/bty8ZGRm89tpriu1H+I0cHBxISkpiyZIlvPrqq4Umglf3L5vNRkBAAAEBAXTs2FHzvH2/LiwZjUQikUgkEonk7kaKcysJtxLmAuVWMVdNcQS64j0hISHKRkEKdCXFQfTfq1evMmHCBGJjYzEYDJrKU/aoN6fi8enTpwkJCSEgIOCODStSoCspCCHQ1el0bN68WSOUUAt0v/rqKwD69+9P1apVy7xdos+dOHECyAvoFG2rWrXqLatKScoO9Ry4dOlSFixYQFBQEN7e3nTp0oVq1aop1R2FIKGgynulOZfebtBFUQJdgfp5R0dH+vTpo/x9q8+jfl2uGyQSiZrIyEiGDBlCVlaWZg9i77hRi9AgL1jHbDZz/vx5pZr3N998A0CrVq3w8fGhc+fO1K1bl5o1axIYGJjPESLOfSsRmBTo3h+o56usrCwuXLjA2bNnOXPmDFlZWVgsFk3WW2dnZ3x9fZXjC7vXFouFGjVqMGPGDObNm0dWVpYmSB3gzJkzrF+/Hm9vb+rUqVM+H7iAdl+4cEF5TgSf+/n54eHhUa5tkhTMpUuXyMzM1FTNtVgsODk54efnB5SOYFWMiT/88AOHDh1iz549mtdEwi21+NFisSj9xmq1kpaWxooVK7h27RpTp06lVatWihhCcndjs9m4cOECv/32G99//73SF0S/FIFBIgu5sP2o9wMXLlzgwoULrFmzhtmzZzNixIg72mPbbDaMRiP//ve/2bZtG6mpqfkqTYnHUph771NQxVx1RnwoXWEuaAPGhO1TXMvBwQGTyXTbid7U4g64uR/X6XR0794dQFMRIzU1FUdHx0LXoLKvSySSsqKsBbp+fn6MGDECDw8PJdhX+FjVybgcHBxISUlh6dKlrFq1ijFjxvDggw/StWtXzVpUfR3x/KlTpzhw4ACrVq0iOTmZ3NxczfpGJC5aunQp9evXL6uvUiKRVHLS09N58skniY+Px8XFhezsbI290X7tpt4zCyEF3FyD3rhxA4vFQnR0tHKMh4cHbm5udOzYkerVq9OtWzdq1KiBr68vLi4uxarmBFKgK8nDyckJBwcHJVGVvXi8pMJc+/62detWlixZwtWrV8nIyNDYrNSxICJRkrAZCNRxGOpkhhkZGaxduxZ/f3/Gjh2rSaRRGGqB7vr165WK0VKYK5FIJJJ7gaioKHbt2qXsr9VCyPr16yuVZCtiDefs7MzAgQM5e/Ysa9euVfz4NptNWQP8/PPPdOvWjcDAwFuez35NXRhyTq8cREZGcuPGDc1zBoMBR0dHHnzwQaB812BqG9OwYcNITEzkgw8+wGw2a9acAMePH+fatWs0adLklm20T3RTUD8tKhmNRCKRSCQSieTuR0a9VQJuJcxVL9SbNGmiCHPVWZzLklsJdNUiNSEQAynQlRSNCMqNiYnhqaeeIjY2VhPIIBxA4rE6SFNtSHJwcCAnJ4f//ve/NG3aVKlKKQW6ktLG3d2d//73vwAaga66gm5sbGy5CnRtNhvx8fGcPHlSY1gVzsyOHTvi7e1dpm2QFIx67lu2bBkLFiwAIDw8HEDJfF6tWjUcHR154IEHaNasGfXr16dDhw7o9Xrl3qkNeLdT1dGekgRdXL58uUQCXXF++/baGxvF51JXvpRIJBJ7bDYbBw8eJCsrS/m7sCyi6jFHPC8ED+Jv9bwdEhKCzWZjx44dwM1KFLVr16ZGjRp069YNb29v2rZti4eHR771XVEBbVKge29iP1999913HDt2jN27dxeYUEi8x9vbm8mTJysVTgpLmiL+btWqFW3btlUC0QFlnZmbm8vGjRvx9/dn9OjR5brGE33zjz/+4I8//gBQgs+Bcm+PpHBiY2OVQEaxjxaZmp2dnTGZTLdd7USMZcnJyZw/f56vv/6a/fv3K6+L/bwQQKgTKUDeGlAEHIs99J49e8jIyODZZ5/lwQcflHvquxyr1cqyZcv4888/CQ4OBm6OcergWvWcJ+ZG8bw6MMFoNJKTk8OZM2cYOnToHbVLrBECAgIYOHAgq1ev1uxV1MJxm83G0KFDpTD3HqUgYa46CAxKX5gLef3+0KFDmj5ls9kwmUzo9XqqV69+x9eB/EFp6uu5u7tr1s9qmysUXZVcIpFI7pSyFuh6e3vz2GOPERgYyDvvvEN4eLgyv4vzC/+T1WolIyODb7/9llWrVhEYGEiLFi1o1aoV1apVw8fHhxs3bpCSksLZs2c5evQoV69eVUQ8kOc7Fedt0KABn3/+uRTmSiT3OXq9nokTJ/LFF1+QlpamWWeCNgm1OijbPlmQsCGpK58ZDAZSUlJISUlhw4YNwE37k16vp3HjxjRs2JC6devy4IMP4urqSuPGjZU2iWuobVPq80qB7v2Ll5cXzs7OpKenK8+J+IvY2NgSJUdX7z2OHDnCn3/+yY8//qi8Lvqcuu+IJEnid+Lp6Um1atXQ6XSYTCaSk5MVobpavG4wGEhPT2fJkiV07tyZRo0aFaudQqCr0+lYsmQJ/fv3l8JciUQikdwTZGZmKuJCdWEHo9HIkCFDgIqb62w2Gx4eHkyfPp1Dhw5x5coVZZ0s2hodHU10dLSSTFuuM+9+hP9F2HfEPRd7koYNG9KtWzeg/IXU6ti78ePHc+nSJdavX6+pOK3T6bh06RKrV6/mzTffLHYbi+q7sl9LJBKJRCKR3NtIcW4FU5Qw175CqM1mIywsjC+++IKnnnoKo9FYbu0sSqBrMpmkQFdSYnQ6HSkpKbzzzjuK0UX0IyE8d3BwoEGDBsTHxwOQmJiYL2hSvDc9PZ1XXnmFTz/9tNwr6Or1embMmCED2O4DChPoqivoqgW6AwYMuO3KJ8VBp9Nx+vRpQkNDNc8J52aDBg2A0q28Krk16u/7xx9/VIK6xZypDoRISUnBbDYTGxvLn3/+CdwMJHN3d6djx474+PjQvn17atWqhY+PD+7u7gWObSUd88paoAt5RsWCBGz275FIJJKC0Ol0DBgwgNzcXN577z1l3SdEFIKCMoyq9yBC9CMCfNTjkxAYJiUlKUG2O3bswGq1UrNmTapUqUKbNm1o1qwZdevWpWXLlpjNZtzd3TVtFWNnbm6uFOjeY4h7l56ezuHDh1m9ejV79uxR+pi64p64vzqdjuvXr3P9+nVeffVVunTpwkMPPcT48eM1weH21K9fn9GjR3P48GGlv4vKowaDgaysLL799ls8PDwYMmRIvn5YlkRGRrJ+/XoApZqGTqcjKCiI1q1bl1s7JEUjquTYB/eKxG4lFebaiygvXrzIt99+y7Fjx4iMjFREDsKRLrBPsiV+F2qBpnovdfToUZYsWUL16tVp0KCBDIa8SzGbzbz11lv89ddfJCUlAWhsnMLeo57DRX9QJ2QTf+fk5AAwdOhQfHx87rh94hrdunXj559/BvLsnWK9YLPZGD58uJIYUQpz7y3shbkmk0lJ/FfWwlxxnvPnzyvnhrw+6OPjg6enZ5msB9V9WP155DgrkUgqgrIW6Lq5udG5c2d++uknXnrpJY4dO6bY7sX+SqxFxBicnZ1NaGgooaGhSkJWMU+oEeOpOrmyzWbDycmJ5s2b8+6771KnTp0y+d4kEsndg6urKyNHjsTZ2Zn33nuPrKysfOOPwD65qX0Sa4F6Hw35fSy5ubmcPn2a06dPA3m2gebNm1O1alU6depE/fr1CQwMxN/fP19yFrWvyGazsW7dOinQvU+w2Ww4Ozvj4eFBenq60vfMZjOJiYls3LiRZ555RmP/KQqDwYDNZuOjjz5i3759nD17FkDzGxD2AbEXF5XnW7VqRb9+/WjVqhX16tVT+l9YWBjbt2/n+++/Jzc3V1kniLk9KSmJefPm8dVXXxXbVurv78+IESNo0qQJAwYMAKQwVyKRSCR3PyEhIaSmpmrWb8LX6OvrC1ScPVCse/38/Jg/fz7Tp08nIyNDWWMYDAYyMjL48ssvadmypVLlV3J3I/rb5cuXAW3yXrPZTLNmzTRxwhXVPmdnZx577DFOnz5NeHi40l/FXik4OJjIyEhp85FIJBKJRCKR3BIpzq1A1ELEgoS59gZuESj0+eefYzabeeGFF8rV2XGrCrpiUyIFupJbIZwb+/fvJyQkBND+Hjw9PZkwYQIPPvggrVu3JiEhgfT0dL755huOHz9OVFQUFotFE6yu0+kIDQ3lrbfeYv78+dSsWbNcBLoZGRl899135Obm8sorr5TG1yOp5BS3gu6SJUuAshXoRkRE8OmnnwJ5jk1AGatF9kM59pYv4vv+9ttv+eCDDwBtBkD7qo5qMY/BYODGjRskJSURGRkJ3DQEGgwG6tSpQ5MmTahVqxbdu3fHw8ODevXqAQVXq73V+FceAl2JRCK5Uzw8PBg6dChWq5WFCxdqBIuQN+7ZV9UVQTpCCKauzCdeF9Xm1WOZeuyLj48nOjqac+fOKa/XqVMHT09PunTpgo+PD23atMHPz0+pGioSKBmNRl588UUANmzYQHJyshTo3oWIe5aQkMA333zD7t27iYiIUOZuUe1OLepSi8XF/ubvv//m0KFDnDt3jvnz5xc4R4vj+vbtywsvvMBHH32k6e8i4CwjI4NPPvkEZ2dnBgwYgKura5l/DxaLhb///ptjx44pbRWft3v37kolFknFox7bBDqdTkkSIIIcioN6PRkbG0twcDD/+9//SElJAbRBHPbBleoquULMrW6Xul+LYw4dOsSXX37Jhx9+WOygT0nlwWw2M3XqVE3lb3sbp9lsxs3Njbp16xIYGKjMuaGhoaSlpSmJ2dRMmzaNnj17lmpb+/Tpw5AhQ/jtt9/yrQOqVavGqFGjAO6o0rSk8nHlyhUmTJigqZgr1pBlKcyFPBvBli1b2L59u+Y5sabt1q0bgYGBpXI9iUQiqeyUtUDXYrFQtWpVFi9ezE8//cTevXuVBEjqhDFiHSD+VwuFRDvVa1zxPtE+m81GnTp16NatG0899RT+/v7l8wVKJJJKj5ubG4899hiARqArxiFAY8ts2LAhFy9ezFdhVwSoqxMKAflsnGofk16vJzs7G5vNxtGjR7FarezYsQObzYaXlxdBQUHUrFmTHj16ULVqVR544AFcXFwwGo3o9XpefPFFHB0dWbFiBTdu3FDGPinQvTfR6XT4+/vTsWNHNmzYkM++s3nzZtq0aUPnzp3z+R7VdnmdTkd8fDynT5/mhx9+4OjRo8o1hH1UXE9dzc/Pz4+goCDmzJmDr68vHh4eynFmsxmj0UjTpk1p2rQpDRs25KuvvuLChQsau5PBYODq1av8888/dOrUqdh7uYCAAAICAgApzJVIJBLJvYHw3YA2WWCdOnXw8/Or8ESUoj2NGjWif//+rF+/XllLiLk4Pj6ezMxMKc69h0hLSyMhIUHZU4jYSkBJ/lwRwlx7OnfuTIcOHRRxrtr3Hx4ezj///CPFuRKJRCKRSCSSW1LxK9v7lFtVzBUODLWDRgQ1ms1mFi9ejM1m44UXXihXQ7GsoCspDUSf3bRpE9evX1eqVJhMJnx8fPj0009p2bKlEgRZs2ZNABYuXMiWLVvYvHkzf/75Zz5xBkBwcDDz589n7ty5ZS7QNRqN5ObmAvDggw/e9jUkdx/FEejGxMSUqUA3IyODP/74g9jYWCAvoFMYU/v06YO7u7t0KFYQ586dU4S5zs7OZGdna+ZBdeCFmOMBRcwgAtVFhfDs7GzCwsIICwsDYMmSJdhsNtq2bUuNGjVo164djRs3xtvbm8DAwALn2oKyDaoDNp5//vkis6JLga5EIqkoqlSpwvDhwwE0Al11QJtwktSvX5++ffuyYcMGMjMzFUekep5UOx/tg9rUCRTU2VuFwFckThCVKDw9PXF0dKR+/fq0bNmS2rVr07VrVxwdHfHz82P27NkYjUY2btxIdHS0cn4p0K38iHkwJiaG//znPxw9epTMzEylr6mDttVzuvp/s9msCS5fs2YNqampvPPOO7i5uWn6ojrA7cknnyQmJoZVq1ZhNpuVdabo+2lpaUo16X79+lG1atUy/Q5OnjzJokWLSE9P11S6aNeuHdOnT1c+s+y3FY+/vz9GoxGr1apJYnD27FnOnTtH06ZNb3kOdWAvwNatW9mxYwfbt2/X7MHtk8qJcdlgMODh4UHPnj1p2rQpHTp0IDs7m9TUVIKDg9m5cycRERHKb0Mt0N28eTPNmzdn8uTJsj/dRWRkZPDkk08SEhKijFfq4FuAnj170q1bNx5++GG8vLxwcXFRXsvMzCQ7O5u1a9dy9uxZtmzZgtVqpX79+jz88MNA6Y8x7du3Z+PGjYo4R4zbiYmJBAcH06pVq0oRECIpHRITE5k4cSLXr1/HyclJqcos5nSRHEMIc8tCmB0ZGckff/yh7LHV60w3Nzd69+4NyPlUIpHcP9yuQHf69Om0bt26SH+jWFsajUYmT57MI488wvr161m+fDk5OTmYTCZlTasWu4m1i32yG7FWEOtd4cft0KED48aNo0uXLhoxkUQikUDhAl37Cro6nY6uXbvy6aefsn//fo4ePUpSUpKS3Fq9rwI04xegiGeFDUAdayL+F/uz1NRUjhw5AsCvv/4KQP369alSpQotW7akUaNGNGnShH//+99kZGSwZ88eLl26pJxX2AmkQPfeQdy35s2bs2HDBk1CCrjpF1y7di1Go5F27dppqjqL+52dnc3p06dZvHgxFy9eJD4+XqmgC3l9VOy/RV/t168fgwYNokuXLri5uSnXFG0SSTBF33v00UfR6XS8/vrrmt+TxWIhLi6OP//8k06dOt2WT1z60SUSiURyNyPmysTERCBvvy321Z6ensq8Whnw9PSkR48erFu3TvG/i314REQEf/31F6NHj67oZkpKAavVSkJCAteuXcuXZB0oM/92SRG/oVmzZnHkyBEuXLiQz/e5bds2HnnkEfR6fYWK3CUSiUQikUgklRsZZVQBFCXMFdVwhGNGOEvEQl8t0P3qq68AKpVAV7RRCnQlt2L37t3s2rVLcQqaTCa8vLxYvHgxLVq0UN5nXwVy4MCBNGzYEC8vL9auXasJDtbpdOTm5nLgwIEyF+iqhbmff/45vXr1utOvRHKXUZhAV10BqiwFuv/88w/r1q0jLS1Nk8XfbDbj4uJC//79ZTBxBVKrVi3mzp3Lxx9/rAhZ1AFeRc2HBVXXBW21BlHdJzg4GJvNxsaNG9HpdFSrVo1GjRrh5eVFjx498PHxoUWLFnh4eCj9QX19cV4xlooKulKgK5FIKhvu7u5FCnSFg/HChQvMnj2bF154gfj4eA4dOkRUVJSS4CArK4uEhARNchdxHvukL2qBJeQJd9UJFDIyMjCbzSQkJCjBbW5ubhiNRtq3b09QUBANGjSgYcOG3Lhxg+zsbOXcUqBbeRHz37Vr13juuec4e/YskCfiEY9FXxD90L7SktjjqyuYCGHOxx9/nE8sLvYsBoOB8ePHc/36dXbu3KlJBCNsAqmpqSxcuJC0tDT69eunVHoorb4j+ujFixd56aWXSEhI0NgqatasyciRI5Xs1bK/Vg6aNGmCr68vUVFRytgoxrhffvmFF198ES8vr0KPV9urEhISWLp0KatXryYnJ0exV6kTI4g+K/q5l5cXs2bNonHjxrRs2TLf+Xv16sWUKVOYM2cOe/fuzSfQtdls/P333wwdOrTIdkoqD2azWRHmCtumWpjbu3dvevfurVSjFccILBYLrq6uuLq6MnXqVCwWC0OGDOHnn3/mgQceUPpRaY8xw4YNY9WqVYSGhir9WAQKf/311/To0YNGjRqV6jUlFUd8fDzNmzfn4MGDZGVl5avybbPZ2LZtG2vWrGHkyJE4OjqWeqKzvXv3smvXLs0eW/xW6tatS5cuXQA5n0okkvuLshboimPr1KnDjBkz6Natm1LRLzExUVNJSKxjAI3NVL22EWuYZs2a0bVrV6ZNm4arq6scuyUSSaEUt4Lu0qVLadWqFRMnTmTixImYzWauXLlCamoqe/bsISoqitDQUK5duwbc3FOpBZJq+5I6UZdAbdu0t2dduXIFq9XKyZMnlfc3adIEnU6nCDwK8mlJge69gbhfw4YNY+XKlVy8eFGTdMtisbBt2zZiYmIYOHAgw4cPx8nJCavVSnp6Ops2bSI4OJgdO3ZobOfqBMWAJuapcePGPPbYY0pyJNCKv+37kDifTqdj4MCBXLx4kS+++EJjj7XZbISEhJCeno6bm5vshxKJRCK5r1AnzAA060SbzZYv4UVloF+/fvTt25ft27cr6wax9hBrXrm2vPvR6/U4OTkpMbbqZOo2m43atWtXcAtvIuw/Li4u9OjRgwsXLijrV9FmIdiVwlyJRCKRSCQSSVHobGqrqKTMuVXFXHX2qgEDBtCkSRO++uorTfZHQBPoNn369HIX6Ko/S0REBGPGjNEIdCEvqA2gTZs2TJgwQQp0JQorVqxg/vz5mg3ua6+9xqhRowrtH+rno6Oj+e677xQhg/r3IYxLXbt2LTWBLtw0VJ05c4YPPviAw4cPA7Bo0SL69OmTr32S+4f09HT+85//sHnzZk3mX/Vjf39/pk2bdscCXTHuxsTE8OyzzxIaGqo4SdVj7ty5c5WAJknFkZGRwcaNG/MFXagRIh91NQZ1MBjkBUzYG9HFsWphthpxvYCAAKpVq8YDDzygVNpt2bIlFotFU7FKYLFY+PTTT1m3bp0muyagGMbr1avH2LFjpUBXIpGUGjExMcTGxtKmTZsix5T09HTWrVunEeiK+U89F77//vsMHjxYc2xKSgrJycmcOHGCxMRE9u3bR0JCAleuXNGMoepKuaLyhLoqgP14LK6tTqCgFvm6u7uTnZ2dL/BOHCfG/KCgIMaNGycFuhWMWFddvXqVJ554gqioKGW9Bdp+BuDq6orFYsHJyQmdTqdUa4b8exRxHpvNxqhRo5g3b57yWkH3+uDBg3zzzTdKELo6yFLM8y4uLjz22GMMHTqUtm3bFnm+khIWFsYzzzxDTEyM5rPodDoGDRrE//3f/1WarMaSPDH4nDlz2Lx5c77+V6tWLV544QUefvhhZf0mXlPvlVNSUli6dCmHDh1SEq6p152Q9zsQY1hQUBAPPfQQgwcPpkGDBsq51OJz9d+5ubnMmjWLnTt35msnwLfffku3bt3K8NuSlAZms5np06ezf/9+jTDXZDIBMHv2bPr06UPdunWBooN/7MethIQEfHx8SnxccRD9cM2aNbz77rtkZ2crY7xIaPTss8/y9NNPV6qAJcmd8c8//7Bs2TK2bNmiqUoPN++76Lfz589n5MiRwJ0HrInj9+/fz/PPP6+x74tx1Nvbm6+++oqWLVvK/iaRSO5b1OPfihUr8gl0IS+ZodFopEuXLkybNo02bdqU+PwA169f58CBA/z9998EBwcTExOj2ZsXhK+vL7Vr12bYsGG0a9dOs+aVSCSSW1GYr0idsAVg3rx5SmIj+/10eno6cXFxREREEBwcTFJSEsHBwWRmZpKcnKy5XmHVdaHw5LFifapOPKd+jzqkSC2+rFu3LmPHjpUC3bsYcd9//fVX3n33XVJSUpR7bG8HrVevnrJvzsnJITIyUpMcTm3fsRfpGo1Gnn32WTp37qwk4ipJfxHz+cWLF3nyySe5fv26JrGG0Whkw4YNco6WSCQSyX3LvHnzWLlypTI3i33ugw8+yLJlyzCZTDg6OlZ0M5W1wWeffcbixYsVO63Y9wcGBvLbb7/h6OgohZD3AFeuXOGxxx5TfJiQ5+9eu3YtDzzwQAW3UEtISAjjx4/XxHWIfrh06VLat29fkc2TSCQSiUQikVRyZEm9cqQkwtzhw4fz9ttvk5SURHZ2NkuXLtU4a9SVoiq6gm5gYKCsoCspEnXwg9lsRq/Xs2/fPiBPkFC7dm3atWsHFF4lQv18zZo1mTp1KnAzYKM8K+jOmjWLd955h0mTJklhrkSpoGuz2diyZYsSkCwMS6VVQVf08aysLGbNmqUIc0XfEw7PAQMG0Lt371L9jJLb41ZZ0dVOaScnJzp37szff/+NyWTSBDqoM5/bB4qJx/bVddXiiZiYGK5evUpISIiS0CAoKIgqVarQpUsX/Pz8aNq0KYGBgRiNRoxGIzNnzsTJyYmVK1eSmJioGMNlBV2JRFIWREREMGjQICZMmECbNm2KHEsKq6ArKteLcfaVV15Br9czaNAgAEwmE56ennh6ehIYGAjAhAkTcHR0JCwsjIsXL3L+/HmCg4PJyMggPDxcM78CSpCR2LMJ1EkWRBU2daXUjIyMAsdIcZx9BV2dTsfgwYMLTKAgKVvE/YiMjGT8+PHEx8cXGjDZokULWrRowejRo3F3d8fd3R2z2cxff/3FuXPnWL58uWZ+Vp/farWyevVqAgICeOqppwrt8506dSIrK4ucnByOHTumqaCrXhtu2LCB06dPM2nSJIYOHaqczz6QsyjUfTQxMZEjR47w7rvvKt+BOJfZbKZZs2a8+OKLUphbydDr9ej1egYMGMDmzZs14jO9Xk9UVBSLFy8mKSmJPn36KNWWxX0/deoUp0+fZunSpVy9elU5r7piMmiTxbm6utKtWzdeeuklfH19cXZ21vQl+/4n1rRGo5H333+ff/3rX5w/f15Zw4rf219//UW3bt2kUK0SY7FYeO2119i/f7+mqo4QOH788ccMGDBAeb+9CNwe+3FQCHOLOk7dP5KSkvD29i5W20W/bNOmDW5ubmRmZir9XPT1bdu2MXny5Hx9WnL3Ie5f8+bNmTBhAoBGoGuxWDR29rlz5wIwcuRITUXHkiLmzVOnTvHiiy9qhLlijeni4sLIkSOpX78+gBzvJBLJfcvtVtB9+umnadWqVbHOL7Barfj6+jJ06FCGDh1KdHQ0UVFRXLlyhZCQEOCmAC4jI4NatWpRs2ZNvL296dWrFy4uLri7uyvnkmsEiURSXArzFYk9iFiLvvnmm+j1ekaMGKFJ0GYwGHB1daVBgwY0aNCAhx56CIC4uDgsFgtHjx7l8uXLhIaGcubMGXJzc0lNTQW0CQLFtdTCXXsfo9r/pB7j1O+3r6D7yy+/oNPpGDp0KFWqVCmz71FSNog9cocOHejWrRs7duxQ5mAxP4s+EhkZqemXkOeXVCf1U/eXatWq0aBBA2bPnq2IcqHkyZDEexs0aIC3tzexsbEaYbBer+fGjRt3/oVIJBKJRHKXIeZUNzc3IM8PI9aBYn6sDMJcyFtXPvbYY6xatYqUlBTNmtVkMmEwGKQw9x7AarWSk5Oj+I3E2k30z/j4+EolzrXZbDRr1oz27dtz+PBhJZZD+EQjIyOlOFcikUgkEolEUiRSnFtOFCXMFUHkYuMhhLkA3t7ejBo1CoPBwHfffacR9qidNRUt0K1bt64U6EoKRB0QnpGRgZubGzk5OSQlJQF5grJ+/fqVOJNpjRo1KkSg26JFC7755hs8PDwAGYQhuSkUEpXPhEBXOLpLQ6Ar+rbVamXq1Kn5kjsI6tevz4ABA6hZs2bpfkDJbVOUQFdNTk4OHTt2ZOHChfzzzz/s2bOHxMREDh06REZGBpmZmQDKPVcHwIvn1f+Lx8JhLgRF4vXw8HAAjh8/DoCHhwfu7u4EBATQrl07GjZsyNChQ4mLi+PAgQNERUUB2vHu8uXLrFixApvNJrOiSySS2yYiIoLx48crThm49dqqMIGu/R5p9uzZ6HQ6Hn30URwdHfOd12AwoNPpaNasGc2aNVOunZWVRUhICMnJyRw6dIhr165x5coVoqOjlfFbvZexryghKOg59edT/68W6C5fvpzMzEzGjRuH0Wi88y9ZUizE+i0iIoKxY8eSmJio2VuoBYmjR49m9OjRSr9RI6rt9enThw8//JALFy6QlZWlBKqJ+dlms/Hnn3/StWvXAs8j+kfv3r3Jzc3FYDBw5MiRfAJdYWcICwvj1Vdf5cSJE/Tt25euXbsq64TCqqJA3n5NPH/o0CG2b9/O5s2bSUlJySfM9ff358MPP6RWrVql+v1LSo+ePXvy2GOPsXHjRiW5C9zcy165coXFixfz888/M3DgQNzd3UlLS+P69ets376d3NxccnJy8gnIIC9gQr2H79WrF8OGDdNc/1ZrQTFmurq6MmnSJObNm6eI48S1Tp8+LYW5lRibzcaPP/7I7t27leAEdeXRr7/+mh49emiOud09QmHHqfvHJ598wtGjR/nPf/5DUFBQsc/dsGFDpkyZwrvvvpsvC/q5c+f45ptveP755+X+5i5HPf+1aNGiXAS6Yt48d+4c//73v8nIyNAk+xDna9GiBQMGDNAIvSQSieR+paQC3YMHD2I0Gpk2bVqJAjnFeC7Gan9/f2rWrEmHDh2UvVxh2FfWlWsEiURSEoryFantmW+88QaAItAVY48Yv9S2nRo1agAwePBg5TopKSkkJCRw6NAhrl+/zsGDB0lOTiY2NlZZ9wKF+pjUdszCKueK94skYRcvXuTzzz+nXr16dOvWrRS/NUl5UqtWLSZNmkR0dDSnT59WEq6r7ZlF+SDVSdcEbdq0YeTIkXTr1o3q1atr9la3Y/PJzc3FaDTi5+dHaGiopn9mZ2cTHR2t/C3naYlEIpHcL4g5tXbt2vleMxgMpKenc+PGDby8vMq7aUXi4uKCg4NDvoSvqampXL9+Xca93QPo9Xp8fX3x8fEhKSkpX+KgjIyMCm6hFp1Oh9FopG7duhw6dEh5XqxxExISALnWlEgkEolEIpEUjhTnlgO3qphbmDDXZDLh6OiIv7+/Enx+twl0TSaT4tiRAt37D7Uw9//+7/84deoUy5Ytw9vbWwmqEEEXjRo1AkqeJbWiBLpCmAsyCENyk4IEuqVRQVf0aZvNxqRJkwgODtbMIWIcNRqNPP744/Tt2xeQxqDKxK0q6Aree+89vLy8GDp0KJ07dwZuVoBKT0/n+PHjXLhwgStXrnDy5EksFgtJSUmaio7inAVlPgdtNUfIq65mNpvJzMwkNTWV6OhoDh8+DNysUJ6bm6tk0ixI2HPlyhWlgq4U6EokkpISGRmpiCABjh07pklCUBRFVdBV75FeeuklAB599NF8Y5j9NcTa1dXVlS5dugB5e5a4uDiuXbvGtWvX2LdvH4mJiYSEhGA2m/MJi8U8bT8W2gexqZ9T7wvDw8NJSkqSwtxypCBhrkg4BdpKoc888wzTp09X7o96b6GeKzt16sTbb7/N4sWL2b17N1lZWfn6REhICAcOHChQnKvur/369cPDwwM3Nzd27dqlqXQi+ppo4y+//MJff/1F48aNmTRpEnXq1FGqRRc2P9tsNnbt2sXJkydZunSpRqQk1hRmsxkfHx++/fZb6tatWyrfu6RscHR0pHfv3hw/fpyoqChlnBEVvdPT00lNTeWrr77KNy6J9aFYY9pXy3VwcKBKlSq8+OKLDBgwQAnmKEmVZnE+gAceeECxbYnKKgaDgaSkJBITE/H19b3j70NS+hw9epTt27eTlpYGoBHmfv755/To0aNM9wTqcXfJkiWKPfSTTz5h5syZNGzYsNjnatOmDTVr1iQmJkYJNBb9PiQkhNTUVDw8POQe5y6nOAJdq9WqWUPerkBXLcwdN24c6enpyppCPV/7+voyZcoUmjRpUqafXSKRSIqDGLsyMzPR6XS4uLhUSDtKItDNyclh7969uLq68u9//1vxLxUXsR61t5/aV5JUP5aJYyQSyZ1S3Aq6b7zxBjabrcC1aEH7EnX1W09PTzw9PZWE2FOnTsVqtRIWFkZERASXLl0iODiYlJQUTRVUyIv5sPcxqRHPqaujAnTp0kUKc+8BWrZsyezZs/nss884deqUpo9CwfOj+p+wnzZr1owuXbowY8YMHBwclPff6Vwq7LHif7E2EG0RFQPl/l0ikUgk9yNiHlTHIVksFmJiYjhw4ACDBg2qyOblw9/fnyZNmvD3338r87nJZMJkMpGamirFufcIbm5ueHh4KMJWyFuriX5ZUh9jWSHaIfz2wpYvbEbnz58H0CQ5kkgkEolEIpFI1Ehxbhlzq4q5wslhL8y1WCw4Ojoq5ylKoKvO7F8ZBbqFVdDV6XT0799fGsfvUdQb57lz57J+/XoAZs6cyfvvv4+fnx9nz55Fp9Ph5OSkBHjfTr+tCIGuRFIQpV1BVy3MnThxYj5hrnDK22w2xowZw5QpUwApzK2MFBV0AXnC2ldffRWTyaRUaqhSpQre3t7UqVNHOVdcXBwZGRkcOXJEyYAeHR3N9evXgTwRrgha0+v1SqC5OnDCZrMpjnLRDoPBoPQfkWEaUM4FaALhQAp0JRLJ7REZGcmoUaNITk5WkvqIQODirtGKW0G3KIGumoKcKOK91atXp0aNGrRr144hQ4YANyuIp6SkcOTIES5dusTVq1c5e/YsVquVrKwszXnEmK+eu9VtUT8/ePBgpc1yPC17ChPmCqGZuuLDSy+9xFNPPaU5Xt1f1fMsQKNGjXj22WdJT0/nwIEDSqCkupLEd999R58+fahXr16+tqn7SJcuXahatSre3t6sW7dOqV4hPoO6+l9iYiL79+/n2LFjGI1GunXrho+PD4GBgVSvXp2cnBzS09PJzc0lJCSEy5cvEx4ernxmvV6vsVXYbDYaNWrEJ598Qv369Uv5DkhKE9FfBg4cSHh4ON98840mQYv9Ok6NutK3SJIgxi0hzu7fvz8DBw6kbdu2mmvejhPaarXSpEkT6tWrx6VLl5RKLFarlcTERJKSkqQ4t5KyceNGQkJCAO0YOXfuXB555BGg7AJh1bacr776ik8++URpx59//onFYmH27NnFFui2bNmSzp07s27dunztPnDgADt27GD48OFyLr4HKI8KukUJc0Gb7OOVV15RKkzL9Z5EIqlIhM368uXLzJ07l+HDh9O/f/9KL9A1GAxkZ2fzxx9/4OHhweTJk/H397/t69qPw+q/5RgtkUhKk+IKdEuyFrVPRKheXzo7O6PX6+nQoQMdOnQAUEQPx44dIyEhgf379xMVFUV0dDTx8fGapEWgtROJdbW6ouqQIUN47733gJIn4ZZUHkS/adeuHXPmzOHXX39ly5YtJCQkKPdf+BAhr+KZ6LMuLi64ubnx5JNP0qVLFxo3bgzk9YnSmE/FuVJTUzV+S1HRVwiBJRKJRCK5H2nevDk+Pj4kJyfni/9Riwor01rNyclJE8ck1hUFJbyW3H2IfYWfnx+XLl1S1pSif547dw4oOEajIhDtCAgIUGLsIC+hm4jlryztlUgkEolEIpFUPqR1sgwRTu3CKuaKrPwFCXMLWsTfzQJdk8mUT6Cbk5ODo6Mjffr0Kbc2SsoP0Ydfe+01NmzYoFSHOHz4MC+88AIZGRnAzf6elZVFenr6HV1PCnQllYXCKuiWVKBbHGGuCEYaPnw4r732GlD5jKmSPEoSdKHT6RgxYgSOjo6KwU/c8xo1agAo4pinnnoKm81GeHg4Z86c4cqVKxw8eJDs7GwiIiI0hmt15nNxXkDjwFZnu1a/bh8wbF9Bd82aNZjNZkaNGoW7u3tZfIUSieQeQCQGmDdvHsnJyTg5OZGbm4uDgwPXr18nMjJSqfJZHEqjgm5R2FelEA5CnU6niClbt24NQE5ODjExMdy4cYMDBw4QHx/P4cOHSUxMVNa69sI4sUYW64TBgwfz/vvvK9eSc3rZcquKuWrR2Zw5c5g8eTJQMhFNw4YNeeGFFzh58iSpqan59vC5ublERERQr169As+r7q/NmjVj3rx51KtXj08++UQRMtpX0RV9LDc3l6ysLDZv3qycTwR02iP2b+J/sSbw9PSkZcuWvPnmmwQEBJTwG5aUN8JZrNfrefHFF8nMzGTVqlXk5ubmSxCnrg6m/tu+eq67uzuNGzfmtddeo06dOso6r6A1Y0kQ45uzs3O+QAsxNkoqH5s3b2b16tWAdowcM2YMAwYMKNNrFyXMFX1o9+7dAMUS6Ao75fjx4zly5AhXr15Vfg/is61du5aOHTtSu3btMvtckvKjuBV0b0egWxJh7ttvv82jjz4KSGGuRCKpWMSYFhkZyYQJE0hISCAjIwMnJyd69eqFq6trhbSrIIHuggULMJlMGjGYwWAgKyuLX3/9lYCAAB5//HGlUpBEIpFUZspCoKtGvb60f7/VasXR0RFHR0e6d+8OwLBhwwC4evUqV65c4dq1axw8eJCUlBROnjxJdna2xk8l7E8Wi4XBgwdLYe49grrfNGvWjNq1azNo0CA+/fRTrl27RkREhEa4Le519erVqV69OqNGjeKBBx5QRLlQ+n1Cr9dz5coVTp48qbHTGwwG3Nzc5N5dIpFIJPc1Pj4+VKlShYSEBE2le6vVyurVqxk5cmSl8fOp4+EAjW/T3d29yCIXkrsHvV6Ps7MzHTp0UCokq18LDQ1l8+bNiq28smA0GjVttRfnSiQSiUQikUgkhSHFuWWIqC4yduxYTp8+ramYKxwsxRXmCu4mge6qVasYM2aMpoKu+Oxms5mIiAiuX79OdnY2zs7O5dZGSfmxbt06NmzYAKCpPhUWFqYEnxkMBhwcHEhNTQVu/RsoCinQvfe4W4MUhUBXp9OxefNmTXICtUD3q6++wmazMWDAAKpWraocX1xhrhDxiDlE9ufKT2FBF/ZVHt944w0ARowYoRHRFPR7cHBwwGAw0KJFC1q0aAHcFIjl5uZy/PhxEhMTOXbsGBcvXiQuLo6YmBglKFh9TnVVR7UYVy28UP8m1QIzBwcHwsPDWb58OY888ogU50okkkLR6XQ4OjoSFBTE/v37MZlMimA3OTmZ2NjYEolzoewFumoKmmfF/Gs0Gqlbty5169alTZs2AKSmppKVlcXp06cJCwvjypUrHDt2DKvVSnx8vHI8IKtMlDNFVczV6XQa0dmrr77KE088oTmuuNhsNlq0aMH//d//8eqrr2I2mzVi78zMTH799Vd69epVaH9UP28wGJgyZQp169bl999/58CBA2RkZGiqnIo+pW6rur+r/xdiTrVwU/w+mjVrxoABAxg6dKisYHoXIYS1BoOB1157jSpVqrB582YuX75cYJIWcYwQJIrfAEC/fv3o1asXAwYMyGe3udN9mtlsJjs7m6SkJM16U/RZ9XpVUjmIiYnh999/B/IEsTqdjjp16vDQQw/h7e1dZtcuSpirrgJgsViKLdAVtqdatWoRGBjI1atX82Vuv3DhAleuXKF27dpybr5HKIsKuiUR5s6bN09Zt8o+JZFIKhIxdkVGRjJmzBgSExMxGo2EhYWxePFigEol0LVYLLz77rvKvkW9h0lNTeWrr76iXr16dOvW7Y58TBKJRFJeFNdXdLsC3cIoKtFMQECAItgYNWoUBoOB8PBwUlNTOXLkCOfPn+fy5cucO3cOs9lM3759ZZLBexgPDw9atmzJ119/TVxcHMeOHSM1NZWoqCh0Oh1169alSpUqtGrViho1ahR4/0uzT4h+evnyZSAvYZhOp8NsNuPt7V1pBEcSiUQikZQUsZayj9EpyfHu7u489NBD/PDDD0rMsvD7pKWl8dtvvzFt2rRKITAU1e5FW4T4MTc3F71eL/f0lYzb7ZeCWrVqKY/FeQQnTpyoNOJc8fnc3NxwcXFR4vHVCY3hzmKbJRKJRCKRSCT3NlKcW8b89NNPnD59GsirPHO7wlzB3SLQDQwMzFdBVwQ3VatWjaFDh9KjRw8pzL2H6dq1K0OHDmXbtm1kZ2crfTM3N1d5j9VqJTs7my1bttCrV6873rxKge69g7gvycnJ2Gw2vLy8KrpJJcLd3Z3//ve/AIUKdGNjYzUVdKtWrYrJZMLR0bFAYa44Ti3MlY7vu4/iZkV/4403sNlstwy6EOOmMBRarVacnJxwcnKiZ8+eQF7m8/j4eMLDw4mNjWX37t0kJSURFhZGTk6ORgAh1iuir6kNpPbZKw0Gg5J84ZVXXpHOb4lEUiRirLKf1w0GAzqdjsTExNs6b3kKdO2xr64LWueNh4cHNWrUoE+fPgAkJSWRlZXFkSNHuH79OsHBwdSpU0cJtpNzetlTlDAXtCKaOxHmQt582apVK+rUqaNUZlRXd0hISChx2/v06UPLli05f/487733HrGxsaSlpWmqVwi7A+Ql1SisjcJRDzd/Tz169ODpp58mICAAJyenEn1mScUj9h0Gg4HnnnuOFi1asHfvXlasWKH0C7UAXaw1TSYTzs7O9O3bl86dOytrSCh9Z7ODgwMpKSkkJycDWud+jRo1ZLWTSoS4N1FRURw7dgzIs3HabDYefvhhpeJSWVAcYS6g2XPv3r0bnU7HSy+9VKRA12az4eHhwTPPPENwcDA5OTnKfG4wGEhLS+Ozzz6jbdu2FSZOkpQ+pVlBt6TC3FGjRgFyvSeRSCoeg8HApUuXmDhxorIfEgGH4eHhlU6gO3HiRCwWC++9955mjy8SAicmJjJ37lx++eUXqlevLsdZiURyV1DWFXSLi/1eX/h9ABo2bIhOp6Ndu3bATcFEREQECQkJdO7cGZBr24qkJN/97dwn4ZeuWbMmNWvWLPXzFxfRJ202G8uWLSMjIwO9Xq8kgjebzbRu3Rqj0Sj7o0QikUjuOsTcFR0dzYEDBxgwYADu7u4l8mGLua9Vq1ZKbJkQ+wqf0L59+xg3bhxeXl6VRlyYlZWltFOsc6tVq4aLi4uc0ysB4h5kZWXh6up627EVffr0oXHjxpw7d045VtjWly9fTq9evejWrVtZfIQSIdoWHx+v6Zvi+UaNGgH5908SiUQikUgkEolAinPLmIEDBxIVFcXWrVtJTEzUVD68HWGu4G4R6IoKuiLgGcDLy4vHH3+cMWPG3NKIL7m78fPzY9asWcBNcaLJZFIC3OwrN4WHh3Px4kUaNGhwxyIJKdC9+xH348qVK4wePZrBgwfz9NNPl2klnpJi308L6reFCXTVQlu1QPeRRx7Bx8cHq9XKpEmTpDD3HqYssqKrjZj2CGN2jRo1qFGjBnCzKi9AeHg4CQkJnDx5ktDQUK5fv86ZM2cAlGQKQswjAvWE0VUtZFq0aJEiPLtbq15LJJLyo3Xr1krwjJjbbDYbp06dYuDAgbc1jhQm0LUfW8tCoGuPWtgD2ozHYj0jRG/jxo3Dzc1N8z5J2VGYMFfMb6UpzBXodDrq1atH06ZNiYyMzCeYDQsLIz4+Hh8fn1teQ+0IrF69OtWrV6d58+YcOnSIHTt2sGvXLrKyshTBmhACiyzUYj2qdsgDODs74+DgwMSJE2ndujUPPfTQbX1WSeVB7Dv0ej09e/akZ8+eDBgwgNOnT7N7924yMjJISkrCbDZTr149/Pz8aN++Pe3bt6dOnTr5EsCUprNZ9MN9+/Zpgo9Ff3V0dFT6rKTi0el0ZGdn8+2335Kenq5JOti4cWP+/e9/A2UzhxUlzFXvS0Q71QLdXbt2ARQp0BXH16tXj06dOrFnzx5lHhB78KtXr3Lw4EEefvhhOU/fQxRXoFvU/jw3Nxej0ZhPmCv2yOokCFKYK5FIKhsWi4UPP/yQhIQEnJycMJlMyvhUWQW6kydPJjMzk88//7zAhFwxMTG89dZbvP/++7i7u1dIeyUSiaSklESgq9PpGDFiRJkIdNWo7aTisdhrOTo6EhQURFBQECDXtuWN/fctkgrFxcURGxuLg4MDqampmEwmateujaOjI97e3nh5eSnHlaTyWUnubVn2A9HOtWvXcurUKcW2CSh7rocffrjM2yGRSCQSSWmj9lk+/vjjGI1GcnNzGTJkSIkFugA9e/akV69e7N69G8iLEwI4efIkH330EfPnz1fm0oqM6UlISOD8+fNKMmNBhw4d8PDwqLB2SW6ijtscOXIk//nPfxg0aFCJYytEsuBmzZpx7tw5xX+j3uusWrWKBg0a4O/vX8afqnikpaUB5Ftv+vn5VVibJBKJRCKRSCR3BzLSrQwR1T6mTZuGzWbjjz/+UCri3IkwV3C3CHRFBd1hw4aRmZnJqFGjGD16tBTm3idUr169QIGuCBZXB6Rv27aNZ599tlREElKge/eiNj5OnDiRlJQUfvrpJ1xdXZk0aVKlEOiK/pSUlERCQgKNGjUqtL+WpIKui4sLPXr0YObMmRphrjojsBTm3juUhUC3MOzfL8ZevV6vBFKILOc5OTlcvnyZtLQ09u3bR2xsLCdOnCA2NlYJwhfjtBTmSiSSkiLGBy8vL2UcUY8ZqampmveVlIqsoFsUBVXXFQhhrtpBKikbihLmQulWzC3ourVq1QLyBLbicW5urlKlqjio+5HVaqVq1ar079+f/v37c+LECaKjo9m6dStRUVFcu3aNtLQ05XNB3lrWxcWFpk2bUr16dYYMGUKtWrWUrL8g5/TyRr3GUifmEWOX+j3Fxb5PCfHt5MmTgZtZya1WqzIOCaxW621drzioK/AcOHAAm82m+Q3qdDr69++Ps7Oz7IOViKysLKKjoxUBrMhqXrt2baX/VIQwVz1u2++zhUDXZrMxe/bsIgW6Xl5e9OrViz179ijjsfj93bhxgz/++IOHH35YztOVEHXSCXHv1c8XRXEEuhaLJV8FXZvNxqhRozAajYSFhTFhwgQpzJVIJHcdBoOBN954g4yMDA4dOoTBYNAkAqqsAt1nn32WlJQUli1bli+ZAsCpU6f466+/GDx4sFxLSiSSu4biCnTfeOMNgHIR6Noj1tb246pc25YP6gQacHO+u3z5Mlu3biU2NpakpCTi4+M1+xA3NzdsNhu1atUiICCADh060KFDB+rWrYu7u7tyL++W+fLq1av8+eefZGRkACjrFavVSocOHWjbtm0Ft1AikUgkkpKh9lmOGzeOjIwMMjIyWL58OVarlWHDhpVYoOvk5ESzZs3YvXu3Mleqq9Ju3bqV5s2bM3r06Aqf/3NycpQYTshbZ4piA3fLGuVeRN03J02aRFpaGrNnz8ZoNNK3b98SxVbodDqMRiP/+te/+O233zT+cGHLOXbsGMeOHWPQoEEVaj8XPoWwsDAgzx5lMBjw8PDggQceqJB2SSQSiUQikUjuHqQ4twwRGxFfX1+mT58O3BQJDhky5I6FuYKiBLpqZ40Q6L744ovlunFVC3R/++03Nm7cyGOPPSaFufcZtxLoin76+eef07BhQ/r161cq/VQKdO8+xPcfGRmpCCacnZ3Jzs5WqstWtEBXjK1Xr15l0qRJNG/enGeeeYYmTZoUekxxBbqffPIJixcvJiIiQlbMvU8oSVZ0uDOBrhqdTpdvnBXndHJyUvpzhw4dAEhJSeHGjRucP3+e48ePExMTw7Fjx8jNzeWtt96SwlyJRFIiLBYLHh4eeHt7c+PGDWVMslgsXL58maysLJycnG57nKusAt1bIcfPsqUwYW5BIprSFOZCXmbdqlWrAiiiNri5Z3ZycsJoNN7WuUXbRDvbtGlDmzZt6NOnD3q9nujoaK5fv052djbZ2dnk5ubi7u5OjRo1MBqNBAQEFFqhVPbJskWMOeLeqQMQ1KKwnJwc5R4Vtn4rCepjXFxclP6pfq2ohAJ3ijjn+vXr2bFjB5DXj8VvsEGDBmV2fcntsX37ds6fPw/k2TuNRiNjxozBxcWl1K9XlDBX2HSEMNfHxwdXV1ciIyOV19UCXVEloDCBrvgtjhgxgp07dyqicciza27atImHHnqI/v37l/pnlZQM+/WasK+kp6eTmpqKl5cXTk5O+Y4rbLwsrkBXvYZ88803qVKlCu3bt9cIc8UYJoW5EonkbsHf35/33nuP2bNnExwcrPgqK3sF3aeeeoqYmBh27NihJA0Rc3dCQgJ//PEHgwcPlmtJiURyV3E3CHQlFYder+fGjRscOnSIbdu2ceDAAdLT05XXxRyuTv4oErJdvHiR8PBw/vrrLxwcHOjWrRudO3dm+PDhODs7K/3sTmKWygr1/u+XX35R9vdqe6jNZqNt27aVIrm3RCKRSCTFRR0bN27cOBISEjAajZhMJi5fvszKlSsBSiTQFe+ZPn06u3fvJjQ0NN+cmZ6ezpYtWwgKCqrwxBa//fYb169fV/b0VquVatWqMWTIEED6hyqKguI2XVxcyMrK4oUXXuCzzz4rsUDXZrPRrFkzBg8ezO+//648J/w8ycnJfPrpp7Rr1w5/f/8KW5uKa548eRLIS2RsNpsJCAioNJV9JRKJRCKRSCSVFynOLWPUAt2pU6fSunVrxbFSWhuJwgS69s6aiq6gGxAQwLRp0yqlYV9S9hQm0BVZzUU/XbJkCdWqVaN9+/alct3iCnTfffdd5syZQ+3atUvlupLbQxh4hg4dSmZmJo6OjkowuugfUHECXTFuX716lfHjxxMXF0dycjJubm5MnDiRpk2bAgULFIsr0AWU34asmHt/UFECXXsKOpe4hru7O56entStW5e+ffsCEBsbi9VqVRJuVLSoTSKR3D0YDAZq1KhBYGAgSUlJQJ5zIzo6mpycnDsW+hQm0LVPYlTZBLqSsqEihbmAsp4LCQkB0FSiN5lMODo63vF17I8X56xTpw6BgYEFHqPu77Lvlx/iuxbfd05ODklJSZw4cYLz588THx+vBE3k5uaSk5NDvXr1cHd3p1mzZjRq1IigoCBq1aqVT5xdHOzfp77v5bW/uHr1Krt27VKubbValcfdu3fnkUceKZd2SG6N6K9ir6oWv+r1ery8vEr9mrcS5orHJpMJf39/1qxZg9VqZdKkSVy+fFmzlyqOQFf0Pb1eT4sWLThw4IBynM1mU+aLS5culfpnlZQccb9Onz7NxYsX2bZtG4mJiSQmJnL9+nV8fX1xd3enQYMGdO3alVatWhEUFKSpBlnQOUtaQXfmzJlKMjkhzLXZbFKYK5FI7jpq1KjBBx98oBHoqu2OlU2gC+Dr68vw4cO5dOkSFy9exGazaSoB/fnnn6xbt06xCUgkEsmtsF+rVdTaTQp0JQWRkpJCaGgo77//PnFxcSQlJSn7GrWfWSS/LMjWp05wtWfPHnbv3s22bdvo0KEDU6dOxd3dvcI+X2Go27906VK+/fZbQGsbsNlsdOzYkeeeey7fMRKJRCKRVGb0ej1xcXFK7I0Q5op57HYEumItIJJqfvDBB6SkpGjs31arlcOHD/Prr7/i5+dX7sV11J/h4sWLynPqRJweHh7l2iaJFhG3OWLECFJTU3F0dFRs4CaT6bYEujqdDkdHR7p3787vv/+uSa5qtVqVAikzZszgu+++w93dvdz3OOJz/PPPP0RGRipxm6KdDz/8MFB68f4SiUQikUgkknsTKc4tB8RGpEaNGqUuzBUUJdBVBw5VpEBX/b/k/qSoCrrCiRIeHs6yZctwd3cvshJpSbiVQNdisbBjxw6ysrJYtGgRzs7OpXJdScmx2Wzs27ePzMxM5W+bzaYZxypKoKsW5o4dO5br16/j5OREZmYmmzdvxmAwMHbsWJo1a1ao4elWAl2BFObefxQWdGEvIitrga494tz2lTMA/Pz8lPdJh7dEIikJNpsNi8WiCfoRAUJZWVmkpaUpFUbvhLu1gq6kdKloYa7oTzk5OVy/fl3Tt4SzuW3btnh5eZXqvF6cyqfq12SfLx9Ef7DZbFy7do3du3ezb98+Tp8+zY0bNwo9LioqCoBt27YBEBAQQIMGDRg8eDBt2rTRZGu+G/YKO3fuZOfOnZqKLuL30KxZs0rf/vsJm82GyWRSxK1i32owGAgKCuKBBx4o1euVVJi7atUqfHx8APj000+ZMWMGly5duq0KugaDgcmTJ7NlyxYl+EIkUWjcuDFPPvlkqX5WScnJysri0qVLLF26lP3792vGTbE/Fkmkzp8/z9atW6lbty4dOnTg5ZdfLjKw63YEurm5ucpjKcyVSCR3M4UJdMW4WJkEuoIuXbrQvn17Ll68mC8Bps1m4+zZs4C0WUokklsj1mrXr1/nwoULdO7cWVm7VUTgtRToStScOHGC7du3s2bNGtLT05V9qpjb1CJVyNvXCISfHW5W/FKLdE+cOMGJEyfYuXMns2bNokWLFtSoUUM5rqLnT3H95cuXs2DBAiC/MNff359hw4bh4OBQKdoskUgkEklJ8Pb2pn79+ly6dElJtKFe092OQFesXTt16kTDhg05duyYMveL1y0WC6tXr6Z69epMmTKlXGMkRdu3b9/O5s2bgZt2XdG+MWPGKPZ+ScWQk5PDV199RWpqKqCtHnu7Al3x+qOPPsrhw4dZvXo1FotFsT2Jfc7Jkyf5z3/+w//+9z9cXFzKdY8j2n/gwAHi4uKAvL7p4OBAp06dABn7LpFIJBKJRCIpGmmhLyfsNyBlsVAXAt0nn3wSFxcXJXAIUDYKcDO47bPPPtMY5iWS8qJ69erMnDmTRx99FEdHR41jU6/XYzKZ2LdvH8uXL+fChQuldl0h0B03bhyA8vtQO3HGjBkjhbkVjDDGzJkzR2PkABRjDMCSJUv48ccflWp7ZU1BwlxHR0dyc3MxGAzk5uayfv16lixZQmJiYpHnEgLdRx99VHNu+zFZCnPvP0TQxZw5c5R5XDiU1f1/7ty5rFmzBsgLQC4vCut70uEtkUhKioODA82bNwfy9kYWi4XU1FQliLY0EALdl19+WQleU19PjK0vvfSS4gS0D2KS3L2IdVNkZCTjxo3LJ8xVO3xffvnlUhfmQt4cuW7dOk6fPq0JlhPXbtmypRL0Lrm30el0pKam8vbbb/Pyyy/z9ttvs3fvXm7cuIGDgwM6nQ4HBweNuFqv1yuBl2LMioqKYvfu3bzxxhv861//4scff+TUqVNA+VW/LSmi7+/cuZP3339fEbIJp7zZbKZRo0ZMmzZNjsOVCNGf0tLSlPsi9ifitdK6V0UJc8V4aS/M9fPzU15r1KgRn3zyCfXr19fM90KoA7B7924+/PDDAtcaFosFT09PBg8ejNFoVK7bvHlzVq9ejZOTk3ItSfkTHx/P559/zuuvv87GjRtJTk4GUMZOdfID9XgZERHBmjVrmDJlCn/88QdpaWmFXkM99giB7sCBAxXboXoNCTf7lrrCshTmSiSSuxkh0O3QoYOS1FQEBgMage7u3buV5JoVgc1mw2g0MmPGDAICApTxV4zjVquVzZs3ExMTI22WEomkSNQJ3YYNG8bkyZN57bXX2Lp1K1lZWZp4jvLcoxbkKyrInvnGG2+wdu1aoPx9RZKyZ+PGjcyfP58VK1aQnp6Og4ODco/V9kWxJxJxD8KOJJ4XfwvEfl6859KlS8ydO5cvvvhCsS2Vpl2mJP3S/prfffcd//t/9s47PKqii8NvOgmBFHoN0ot0kKoRBKX3Frp0pChFUEFsVDGAggrSQxEpiiLCRxFQmtQA0jsBQiAEAiEhmy3fHz5zuXeTQBLSgPM+Dw/Jze7c2d3ZmTlnzu+c8eMBozBX9b1WrVq8/vrr2jVBEARBeFawWCy4uLjw66+/UqlSJcxmM46OjoZEWQ4ODppA95dffiEqKirJa3ShQoUYMWKEIe7OPu5o1qxZrFixIt3PYkJCQvjll18AtL44ODhQokQJKlSokK59EeLj5uZG8+bNady4sVbwRvm34+LicHFxAf4rDLVp0ybgyXtHvX+pR48eVKlSBTDuE9U+76+//uKbb74hNjY23W2c4OBgTRCvvjMALVu2pHz58unWD0EQBEEQBOHZRSJDnjMSEugqx7vewBaBrpCR5MmTJ55AVzmYVMW0P/74g2XLlnH+/PlUva+9QFcF5s+cOZM33ngj1e4lpBxvb2/atm0bz1EIGSPQTUyYqyqjqMM+q9VK5cqVyZEjxxPbTEygq1DfBxHmvngkJtAFMo1AVxAE4WlRa6fKfKtEDWqNU2KL1EIEui8ujo6OXL9+ndatWxMeHo6rq6u2/9d/xqNHj6Z3795YrdY02W+dOnWKDRs2AMbDPAcHB4oUKaLtCWXMPd/cuHGDNWvW0KVLF5YuXUpwcDCAwWcD/9mp+r2d1WrVBJGqygmgVWQOCwvjyy+/ZMyYMfzwww9aO5B5xpSym/bs2cOQIUM0Ya4SflitVnx9fenfvz8eHh7adSFzYDKZePjwobZ2qs8mNcW5T6qYqwJvExLmqnUcEhfo6m3ubdu2MWvWLB4+fGjog/p77dq1te9XxYoVWbZsmSbM1d9LSD+uX7/Oe++9x5IlSzh16pQhwFztI+HR2q4CzVQQm5OTE0ePHmXatGmsWrXqsZXKkyrQVajHqv2FCHMFQXiWSUigq/c76gW627ZtyzCBrpr/fXx8aNWqFY6OjoZEl2rOzkgBsSAImR+9MLdLly6Eh4fj5OTEL7/8wpgxYwgICGDt2rWcPHkSeGQH6W3utCQxga69qEIEus8nK1as4LPPPuPEiRNaomg19tQ4UGfJ6rxa2SvKj6Suq3+q6i48smPUc+7cucOvv/7KJ598wpYtW4Cn84+HhoZy4MAB4L9xmZTvjd4XdObMGSZNmsTUqVMBozBXvcaSJUsyaNAgvL29U9RHQRAEQchIVDVbFxcXlixZYhDoqjOTpxHo2mw2qlSpwieffAKQaPzw5MmT+fHHH9P89SosFgu7d+/W9gnKjrfZbNStW5eyZcumW1+E+KhxVatWLbp06ULDhg3jCXTVuIXkCXTV8wsXLkzjxo21OBH759y/f5/ff/+dOXPmpKtANzIyks2bN2tnB/p+Va9eXc4sBUEQBEEQhCQh0SHPIYlV0LU/rPn+++9FoCtkGHny5GH48OHxBLqqokl0dDS//fZbmgl0u3Xrpl2bNWsWDRs2BDJP8PKLTvbs2Wnfvr1BoJtQJfC0Fug+TpgLxgo+o0aN0qqtJWUcJSbQlYq5GUNCn1lGBTEkNSu6CHQFQXhWUXOuOnTRV4UEOH78OECqVqcTge6Lic1m46+//tI+37i4OG28qcA0gJ07dwJps56aTCb+/PNPjhw5AjwKNFN7vqJFi1KgQAFAKjw8zxw7dowvv/ySadOmcfbsWZycnLSxqJ/r1Fyor3CSUJUTNU6VDWGxWDh79izTpk3j3XffZceOHcTGxhqyUWckDg4O7Nixg169emkVJvWVJ11cXKhdu7aWLdte/CZkLJGRkdy9e1cL7IX/5ks1t6aGnaramDVrVrIq5iYkli1ZsiTTp083CHTVd0E9fvfu3dy6dSvBvlSpUoVGjRpRtmxZgoKCRJibwVy4cIEePXpw6NAhLUGB+qdP7qL8KIBBSK7WeyW8WLp0KevWrSMqKirRez5JoKsf8/r+tGjRQhPmqj2HIAjCs0ZiAl39HuDs2bPMnj07QwW6aq6vWrUqVqvVsEZYLBYiIyM5ceJEhvRNEITMjzpvu3LlCp07dyY8PFwLMAeIjY3l1KlTfPbZZ/Tu3ZtZs2axd+9eIH3t1aQmcx07dqycFT1HLFiwgE8//VQT36jPVNkpyk7OmTMnlSpVon///nz11VcsWLCAX375hVWrVrFw4UI+++wzWrduTdWqVYFHNpO9vaS+D7GxsZw8eZLBgwezdu1a7THJ5datW6xYsYKPP/6Yzz//XBMGwyN/lkqQqL+mRLeLFi1i0qRJLF68GIgvzDWbzeTNm5fAwEDNpyoIgiAIzyLK/52QQFe//qdEoKvW8DfffJO3334bQGtb/az2kp9//jlLlizBZDKl2WtV6/2xY8eYOXMm9+/fx9nZWRPmVqlShXfeeQeQuM2MRD+uqlWrRvfu3Q0CXbWnS2kFXXU+2Lp1a2rWrAk8sq/0vv5bt26xdu1a5s2bl+YCXdXfQ4cOsWbNGkwmk2Fsvvnmm7Rq1SpN7i0IgiAIgiA8fzjYxKJ5bgkNDWXNmjXMnz+fmJgYzahXgcDKcT9w4ECGDh0qgcBChnDz5k2mTZvG+vXriYuL0w5eVBbVrFmz0rJlS7p06UKxYsVS7b6hoaF8//331K5dm0aNGgGPqvkImYd79+6xatUqAgMDDVnvVaUlNY/179+fHj164Ovrm2r3flLFXP39R44cSZ8+fYDki2ijoqL45JNPWL9+vRY0bDabRZibjui/+1u3biUmJoZmzZpp1xOqjpMePHjwgHXr1jFlyhRtHbc/gAYYP3487dq1A2SsCILwbHHp0iU6depEZGSkNufabDZq1qzJokWL0uSeUVFRrFmzhqlTp2oHjwnNrYGBgYZqprJHfHa5d+8ea9euZdmyZVy+fNkg6IFHn3v16tUJCgrS9mJPK8JS42b79u0MGzaMmJiYeLZOrly5WLZsGYULF5Zx9hyzb98+xo0bx9WrV7XgB71YTAUpJiUhgb6KqBrDauzoK5GULl2ahg0b0r17d7Jly/ZU+9no6GhMJpNWiSQpY1W/J7179y5btmzh448/1g7e4+LiDL4pPz8/pk6dSoUKFVLURyFtCQ0NpXHjxphMJsO4y5cvH6tWrSJHjhypMn/t27ePvn37Ehsbawh+SI4w177fXbp04fr164aK01arlSpVqrBs2bJ4/Vbj++jRo5QuXRpXV1cR5mYgly9fJiAggIiICEPlWv186efnh7u7O9mzZyc2NpZLly4RHR1tEMfq5y2r1UqRIkUYPXo09erVe6wNrX/esWPHWLp0KevXr9dE3wlVf/riiy9o3769di+xzwVBeFYJCwtj5MiR7N+/35BMUs1rVquVEiVKMGDAAOrVq4eHh0e699FqtfLgwQOaNWvGrVu3DAJii8XC5MmTJYBSEIR4qD2efq+pP/tT+z9lr6sgcB8fHypWrEjnzp0pXrw4+fPn19pM6zOkpJ4VyV702ScoKIiJEycCj8Sq6mcl3smZMydt27alfv36lC5d+omfs8lkYt++fezcuZMNGzYQFham/U1/D/194L8EwV26dElW/2NjY1m3bh1Tp04lMjIS+C+RRps2bahZs2aiYtqLFy9y6tQplixZwtGjRw2JuuzHure3N8uWLUvVuBFBEARByEiU/zkuLo5u3boRHBxs8I/rExC+9NJLdO7cmdatW+Pp6Zmk85qTJ0/y/fffawJKvV9TH/f23nvv0apVK/LmzQuk3vm4auf8+fP06dOH0NBQQ+xfvnz5GDJkCC1btpTErZkE/Wd/4MABgoKC2Lx5s3aeqcamOu8D+Oabb3jzzTfjPd8eZafcuXOHvn378u+//xr2fPqkw3ny5KF58+YMGjQId3f3VLe7VF9OnTpF//79CQsLM4zNEiVK8Nlnn1GlShWxrwRBEARBEIQkIeLcZJDQBj+zB9AmJNBNSNgmAl0hIwkLC2P69OmJCnQ9PDxo1apVqgt0Y2NjcXNzAzL/d/lFJiGBbkKJBlJToPukirn6+z6NMFcRFRXFp59+yu+//w5Aq1atmDx58lO1KSQN/Xd/0aJF2vvesGFDqlSpQtu2bcmePXuCj08PRKArCMLzzLVr12jTpo0WqKPEZcWKFeO3335Ls/uKQPfFQX1u9+/fZ82aNfz4448Gga5aMx0dHVNVoKv2kgcPHqRv375ER0cbRJVWqxVPT08GDx5Mjx49DNmAheeLv/76i5EjR3Lv3j3DHKJ+1ldwdnNzo3DhwpQoUYKsWbOSJ08eoqKiiIiI4OrVq5w5cwaz2czDhw+1YAz9/KUOxdXv2bNnp3r16owfPx4fH58UHVrfu3eP3377jUuXLtGoUSOqVaum/S2hPaf9XLl79262bt3K8uXL4/VXzbdZsmRh5syZvPrqq8nqm5B+xMXF0aRJE0JDQzWfIoCHhwerVq1KNT/N7du3CQoKYt26dZqg1sXFBZPJlGxhrvIZdO3alcOHD2vfGfV//fr1+e67757YJ7GtMo7r16/Tq1cvLl26pPlj1Lzh6elJ3bp1ef3116lTpw5eXl64uroSGxvLzZs3OXz4ML/++iu7du3S2tN/jlarlUqVKhEUFISrq2uyBLpLlizhjz/+0PqTUCCSiCIEQXheeBYEugBNmjThwoUL2u/q/GDatGk0adIkQ/okCELm5t69e3Ts2JGLFy/i5uZmqBJmb9eqs2pVrcnb2xtvb2/69etHmTJlKFOmTKLPTU1EoPv8s3r1asaOHQskLEr18vKiXbt2vPHGG1SpUkV7XmL+HvvrVquV8PBwZs2axaFDhzh37ly8e+nvBzBq1Ch69eoFPH58q7/t3r2bDz74gJs3b+Ls7IzNZsNiseDu7o6HhweNGjUiT548FC5cGJPJxNmzZwkNDWXr1q04ODgQHR2t+baUQB4eiTQKFCjADz/8IMJcQRAE4blDL9Dt3r07hw8f1gS6ak+nzpOKFClC586dadOmTZIFurt27WL+/Pns3r0bwODX1McPd+jQgRYtWmhnQaklhjx58iTvvPOOQZir+tykSRPGjBmDj4/PU99HSD2eJNBV+8eUCHTVuAoLCyMgIIDr168bYtr1lXK9vLzw9/fn008/xcPDI9VtrvPnz9O3b994ffD09KRnz5706tUrw/xdgiAIgiAIwrOHiHOTiDIK4uLiWLBgAU2aNMHHx8dg5GbWgO3Q0FBWr17NggULHntYIwJdISN5UgXdtBLoCs8GiQl0wZjJLzUEuokJc+2rO0HqCHMVUVFRvPvuu7i5uWlBwnJwnrbo1+3FixczadIkwJgpsnDhwrRr147KlStTvXp17bnpWU1XBLqCIDyv2Gw2OnfuzNGjR7UDRXUIuG7dOl566aU0u7cIdF8cniTQ1VcdTQ2BrtojnD59mi5duhAVFRVPQOns7Iy/vz8jRoygaNGiafGyhUzAX3/9Rb9+/YCEq50o6tSpQ506dahXrx65cuXC09MzXls2m43r169z+vRp/vjjD44ePcqVK1eAR4Iz+4BFRdWqVZk5cya+vr7JGtNxcXH8+eefTJ48mdDQUPLly8c777xDgwYNHhskERMTw71791i8eDFbt27lypUriQpzAb777jvq16+fpD4J6Y8S4TRv3pwLFy4YhOFOTk5MnjyZxo0bP7X9oebiiIgIgoKC+OWXX7RqPvnz52f58uXkzZs3WXaY1WqlcePG2pyvDzQaMmQIgwYNkrU9kxIeHs6IESP4559/4lXMzZEjB+PGjaNy5crkzp3b8Dz7cThlyhTWrVtHeHg4gLb2Ozg4YLFY6NatG2PGjHlif54k0E2o0oSIIgRBeF7IzAJdlbimefPm3Lhxw/A3m80m4lxBEB5L//792bFjh0HooOwGhb3vSKFs7vz581OvXj1atmxJ0aJFDfZ8WuwBEzorSiiZsexFnz3++usvPv/8c65evWrwISmRTo4cOZg4cSJVq1bVxlly7VllV8XGxnLo0CF+/vln1q1bB8T3LenH0yeffEJAQMAT7xkSEkJAQADh4eEG0Y0SWOgFwHr09rp63fZVAh0dHSlVqhTTpk1L0zMDQRAEQchI0kKgq7++detW5s6dS3BwMJB4Bd1KlSrRuHFjevTokWA7T0L/2Nu3b/PPP/8wefJkLXmH3tdbtmxZvvnmGwoWLJji901IO9Kygq4aB4mJY/UCXYAKFSowZcoUChcurJ0RJXc/rH+8yWTiyJEjvP/++9y4cUO7t9q31qhRgy+//JI8efIk/40TBEEQBEEQXlhEnJsE9EZht27dOHz4MC+99BIFCxakX79+FC1alBw5cmiPz4yBXYlV0AWjc33AgAEMHTpUDmmEDOFJAt2sWbPSsmVLEei+oCQk0E2oEvjTCHQfJ8wFo0MyNYW5Cn01ZzkwT1v0a3VQUBATJ04E0JzbyploNptxcXHBYrHQuXNnKlSoQIsWLRJsJy1JatCFCHQFQXjWeOedd/jzzz+1YBsnJyccHR358ccfefnll9P03iLQfXFIrwq6ai956tQpunbtSlRUlCHJi7Jr/Pz8+PTTT6lVq1Yav3Iho9i7dy/vvPOOoWoyGOcWf39/6tWrR6dOnbTnqfGmRA/6caMXJJ44cYI9e/Ywd+5coqKi4lVwVPOUGt8lSpRg4cKF5MyZ84niRvX8Y8eOMW7cOE6ePGk4BK9evTplypShefPmeHl54evri81m49SpU9y+fZtVq1Zx8+ZNzp49q7WpDyxVr8fZ2ZkZM2bQoEEDw32FzIUaLwMHDmTbtm3xkg20bNmSKVOmpMq99ALdZcuWMXfuXLJly8aaNWuSXDFX387Ro0fp2bMnJpPJUPEXYO7cuVKtOZMSGxvLggULmDt3LtHR0QabN1euXCxYsIASJUpoj09o7tDPc3PmzGHOnDnExMQY1nybzUaZMmWYOnUqxYoVe+IclNQKuiLQFQTheSQzC3RPnTpFmzZttL0zPBIYLVq0yJBsURAEAR7tyw4fPszQoUO5deuW5pf08PDglVdeISIighs3bnDz5k3DHs5euKielz9/fgoUKMA777xDwYIFKVSoULz7pRYi0H3+uHTpEoGBgWzbtk37LAGDHTR37lxKly791Peyt3tmzJjB3LlzNXtG+X/sx9PkyZNp1apVgm2oa4sXL+brr78mJibGsEfQ+6iUTabsNX1Van27+ms5c+akZs2aDBs2jAIFCjz1eyAIgiAImZm0Fuj+73//Y+nSpezfvx94JNDVn0UpGjRoQM+ePSlevDje3t6G9uDR+ZM+GaL+7GnPnj3873//Y8OGDURGRsYT5ubNm5dFixZRpEiRNHgnhdQiLSvoqjH977//MmTIEENlZT1qzOTPn5/u3btTu3ZtSpYsGa+dpLwG+K9a7t9//828efMMiWXUfYoVK8b3339P4cKFU/COCYIgCIIgCC8yIs59AvqKuXqjVzmiXV1dqVq1Kv7+/rRq1Yps2bJph9OZLagwIYFuQpUnRaArZCRhYWFMnz5dKugKCZKcCrrdu3c3JE54EokJc81mc7wAy7QQ5urJjGvI88qiRYuYPHkygEHwbX9YrBdUVKlShRYtWlC1alVDtbu0rqYrFXQFQXieUHPmuHHjWLlypbbnU/PZ559/TocOHdJ8HhOB7otDWlfQTahirtpLwqPx5OzszFdffUWjRo3S42ULGcDx48cZOXIkFy9eNMwpKqACYMSIEbzxxhvaXjKpc539fvPw4cOsW7eOTZs2GQ6Q9egPk5csWYKvr+8T960RERG88847BAcHa/1S3w1FtmzZiI2NJXv27Dg5OREWFmY4fFf3VqJcfUVfLy8vvvzyS/z9/QGZV58FlN2kT6ZhtVopXrw43333nSH4/GlQY+H27dusXbuW5s2bkzt37hTZWosXL2bSpEna7ypwKXv27CxevDhVApuF1EN99ufPn2f06NH8+++/hoDwHDlysGDBAkqVKpWkOVP/GLXf1FeDUkcietFCUvsIiVfQFVGEIAjPK5lNoKv2BqtWreKzzz7TrsF/83XBggVZvXq1IYBYEARBz61btxgwYADHjx83nP81atSIjh07cu/ePVasWMGePXu059jb3OrsWtlJ7u7uFCpUiFatWlGvXj38/PzSZP+X1LMi2YtmbtRnsmbNGsaPH6+JWvXJg3PmzMnSpUspUqRIqn6Gettm5cqVzJ8/n5CQEO0e9gJdZ2dnvvnmG+rXr59om+Hh4WzatIlly5Zx/vx5bb+gXqs9+krV+gq76prNZqNs2bI0adKE1q1bJ+vMXxAEQRCeZdJaoPv333+zYsUKtm7dChhj7VTb6jwnX758FCxYkN69e5M/f36DIDKhfttsNrZv386RI0cICgrCarUazt9Vuzlz5mTx4sUS9/mMkJYCXcWZM2cYMGCAoYKuHrUv9fDwIFeuXPTq1YsaNWoYxN1Puk9sbCwbNmxg9erVnDhxwpBgWbXv4+PD0qVLZWwKgiAIgiAIKULEuY8hoYq5+gom+sMNgIoVK1K8eHH69etHjhw58PT01P6WWQINpYKu8CzwpAq6ItB9sUkLga6ao0NCQujevTuhoaEZJswV0o+jR4/SoUMH4L9kG3ohgf26rQ6j1Tzk7u6Oq6srffv2pUyZMtSpU0d7bFqOC6mgKwjC88Yvv/zChx9+aBA02Gw2+vXrx/Dhw9OlDwkJdBOaW0Wg++yTkgq6ixcv1n5PTKCbmDBXVczVj6NJkybRunVrQ3+E54fr168TGBjIpk2btM8fjMLcadOm0aRJE+05KRkH+ufcvXuXY8eOMX78eC5fvmwQxCrUGKxatSqzZs3Cx8fnsXvE8ePHs3TpUq3v+gQ2+iomZrPZ8J1RgZf2rka1h86SJQslSpRgxIgR1KxZM8WvX0g/1OezZ88e+vbtCxiFL2CsoJOa91T/J1eYa7VaiY6O5r333mPnzp3x9hivv/46s2fPTrX+CqmLEtLqqzV4enoyfvx4GjVqlCz7Vo2dhw8f0qNHD44cOaKNA7Xfq1u3LjNnzsTNzS1J7UoFXUEQXmSSKtAdOHAgr7/+epoJdPVzcUBAAIcPHzbsUS0WC1WrVuX777/H09NT5l1BEBJly5YtDBkyJF5Qef/+/Rk2bBjwX9KfgwcPsmnTJu15j7O7FaVKldLmRB8fH3x9fbW/pYYdLBV0nw+uXr1Ku3btuHv3brx4CG9vb2bNmkW1atXSJDmwfjz88ccfzJ8/n5MnTxpEP/Boba1YsSLjxo2jXLly8dpSY/rBgwecPHmSWbNmsXfvXu3vCQks9H4mvSBZ/d6kSRMGDx5MgQIFcHNzS9XXLgiCIAiZnbQW6B45coTffvuNZcuWAfHXarUeq/2Ak5MT2bNnp0qVKvj6+lKyZEk8PT0xm83ExMQQGxvLsWPHCAkJ4dy5c9p5mKOjo3b+qtoqVaoUM2bM4KWXXkrT91BIXdJSoKv+FhYWRp8+fTh79qz2N33iGH0SYIASJUpQqlQp6tevT9GiRcmRIwc5c+bEZDLh6urKgwcPCAsLIzIyknXr1nH58mV2796tPV8/7m02G4UKFWL27NkSiywIgiAIgiCkGBHnPoG4uDg6deqkZU3VG4sK+8OWnDlzUr16dZo0aYK/vz+urq5A5gk4TKyCrv1hjQh0hYxEKugKjyMtBLr379/H39+f6Oho3N3defjwIWCc40WY+/zRrVs39u/fr63PKogW0D53+4p6+kNiR0dH3NzcaNCgAW+99RZVq1bFx8dHaz8txokIdAVByAyklm2zfft2BgwYoP2uDhNbtWplqHaX1ohA98UhtQW6Sa2YC8aASBk/zxfq8/z555/56quviIiIiFftBOCHH37gtddeS5M+3Lp1i3fffZdDhw4Z9q4KNb7r1avHl19+SbZs2RIdhxs2bOCXX35hz549xMXFGeZE/Z5Y37a9r0y1q6/2Uq9ePbp06aJVLJXvwbOD2Wymffv2nDx5Mp64sUiRIsyePduQoTyjuXjxIp06dSIyMjLeWBw0aBBDhgwRGykTcv78eQYOHEhISIgWuGU2m3nrrbcYM2YMuXPnTnabKlhnwYIFBAYGGgKFbDYb+fPnZ/Xq1QaxxJMQga4gCC8ymUWgC7BkyRImT54MPKqKnpLK6IIgvLiEhoYyatQoDhw4YNh/gjEJ0f3799m7dy8LFizg8uXLREREaPtKfTIgIJ7AMHfu3Pj5+dG1a1cqV66coj1tYkgF3Wcbk8lEYGAgixcvjud3cXd3591336Vr166JJgtMDfTj4c8//2TevHkEBwfHE+iqPrVv357+/fsn6dz922+/5fDhw+zcuVO7pr4v+nNYJbhQ47djx45UqlQpVZOACYIgCMKzyOMEuvpzmpQKdCMiIti2bRtjx441JOVQj1P/6xO4JgX9PhnQ+uvl5UWFChUYN24chQoVeur3R0h/kiLQdXBwMCQsTqpAV42ZiIgIJk6cyL59+7h58yYQXzyuj9dTBbZcXFzImTMnPj4+xMbG4u7uTnR0NNeuXQMgOjracLal/Fnq95dffpkpU6bg5+eXZu+fIAiCIAiC8Pwjnvcn8OOPP8YT5tr/02fncXZ2Jjw8nA0bNjBkyBCGDBnCzJkzuX//vmZ06A3YjCBfvny0bduW3r174+7urhnzNpvNEGw8e/Zsvvnmm3iZXwUhPciTJw/Dhg2jadOmuLi4YLFYDEZ1dHQ0a9euZdmyZZw/fz6juyukM9mzZ6d9+/aMGDHCIJRQVXXUPDZnzhyCgoK4ffv2E9vMli0bnTt3BiAmJgYnJycR5j7HKMddly5dyJ49u8EB6O3tTZs2bXj99dcpWLBgPOEBYKgMFhMTw7p16xgzZgzdunXj999/5/jx4wCGwLTUImvWrDRv3pzRo0cb1nH1utTPY8eOZfXq1Vo/ZD0XBOFpiYuL02wa/byp5tSUzDNlypTBy8tLW8eVjXX8+HGioqJSp+NJwNPTk7Zt2/L+++9rwVDKRtLPrSNGjGD9+vVAwmI0IfOjPrds2bLRtm1bAgIC8PPz08aeWjNVUNj+/fvp0aNHvIQw8PiKufaizM8//9wQCCmCxOcHveB7wYIFiQpzAwMDee2119Jk3rBYLOTKlYsffviBhg0bakEP+nupn/ft28eCBQuIjY2NNw7VYxo3bsyAAQPo2LGjNu5Vm/Z2kL0QWPnG1HfKbDZTokQJPvroIwYPHqwJc9VjhcyPWudVtWM1FtT127dvs2vXrmQF6KQlsbGxLFy4kMjISEMQs9lsxt3dXatcLTZ95uPUqVNcuXJF87er+bN+/fopFjGohBv16tUzJM+A/4J6bt68yZkzZ5LVpn4PWL58ebp160aTJk20ICEl7NDvIT/++GNWrVql9Unsc0EQnlXy5MnDV199RfXq1bWgS/285ujoyNmzZ/n+++/Zvn070dHRadKPs2fPsn37diwWi7YHUfOvn58fpUqVSpP7CoLwfJEvXz5q1aql+f+Un8fBwYHff/+dK1euAP+dHzZs2JDp06czffp0atWqRbZs2QAM+z9lA6u4EScnJ27evMn+/ft59913GT58OIGBgURERGjzo5o/U2JLJXRWpM6tZC+aeVGftclk4tChQwAGUTX8V1GuTp06aSrMBQwC3Pr169OrVy9Kly4dryqZo6MjMTExrF+/XrOf7CvhKtT1QYMGMXXqVGbOnEnXrl0pW7asZtfpx3uxYsWoWbMmo0ePZvny5Xz66aeaMFfGqiAIgvAio85mXFxcCAoKonLlypogUa3Vat956dIlli9fzs8//0xUVFSiZ9j6MxlfX1/atm3L8uXLef3118mVK5fh/FL5z+1tbuUHsP9f3y8l1FSx1mXLlqVfv35MnDhRhLnPMPpxVa1aNbp3707Dhg01X7iyRdS4BRg6dCibNm2K93x71Jjx9fXl008/pX///lSvXh3472xHjUFl6+jPJB0cHHj48CHXrl3j2LFjnDlzhiNHjnD+/Hmio6OJjY01jFW9MLdQoUK0bt2aadOmiTBXEARBEARBeGqkcu4T2LFjB8OHDycmJsbghHZ3dydHjhyEhIQAaFnxFfbVdEuWLEm1atVo3bo15cuX165nZJWQ5FTQfffddyVoUsgQbt68ybRp0xKtoJs1a1ZatmwpFXRfUNKigu63337LzJkzDddEmPv8cu3aNbp168b169cNY6ZFixb06tWLqKgo5s+fz99//20YW/pDZzUfKWdhlixZyJo1K+3atePVV1+lcuXK2oE6pN7an9Ss6FJBVxCE1ODChQt89NFHeHl5UbFiRXx8fKhSpQq+vr7kzJkz0XntSfOOyWSiWbNmXLlyxXAgU6RIEVavXo2np2eavJ7ESKiCbkJz67Rp0zRxj/Bs8jQVdOPi4nB0dExUmAvGvejnn39Ohw4dAFmLn2fGjx/P0qVLtXlD70MaMmQIgwYNStP7q/3ogwcPGD9+PBs3biQmJgZ4FHCh5tiSJUsyfPhwXn/99Xjt6Peq9+/fZ//+/UyZMoXbt28TFRVlqHKiXqc+4ELvCytfvjxlypRh1KhR6T6fC6lPcHAwnTt3NlTQUZ990aJFWbx4Mbly5TJkxU9PVL9u377NwIEDOXr0aLwqv2+++SZffvklrq6uMhdnIpSg4aOPPuKXX34xzC9FixYlKCgIX1/fFNvSakwOGDCA7du3G/z4NpuNzz77jI4dOya73SdV0FV7SKmgKwjC80hSK+j269eP+vXrkzVr1qe+p74y0OTJk1m8eDFgrOxjs9no1q0bY8aMeer7CYLwfKPmlKioKHr37s2RI0cM9q27uztTp06lQYMGhgSp6rnbtm1j586drFy5EsDgR9SLJSB+Nd0SJUpQrFgxevfuTZEiRTShb0pJ6KwooZgPqSqeuVi0aBGTJ0/Wxl1GVoDX2zbr1q3jq6++IiwszGA7qbPQUqVKsWzZssf6eRKy3UwmE1FRUVy/fh0XFxdtnBYqVIgsWbKIbSQIgiAIifC4Crp6X31yKugq1N9v3brFiRMnmDt3LocPH46XOORJCWXUfgbQzlXhv+TY9erVY8CAARQsWBA3N7dUe1+EjCMtK+iqMW02m7l9+zaLFy9m7dq1REZGxjubtC+QZX8Wap9c2N4uq1mzJp07d6ZmzZpkz549jd4tQRAEQRAE4UVCxLlJQFVH0m/gs2XLRp8+fbh48SJr167VHqs/7NAbEcpIdXJyokWLFlSuXJn27dsbKvNkhMM5IYGuynilDxx65513GDx4sDjFhQxBBLrC47h37x4rV65k2rRpWkC4fs7VC3R79OiBr6/vE9v8/vvv+frrrwEYNWoUvXr1AiRw8nlDOeFWr17Nxx9/bHAUAgwePJjBgwcD8Ouvv3Lw4EEt0ALiJ+aAR1nH1fYqb968FCtWjP79+5M/f34KFiyoPTY1xpMIdAVBSA+uXLlCly5duHXrluG6ChwrVqwYJUuWJH/+/NSoUQNPT08tqCYh1DxkMplwdHRkwIAB7Ny503CY4ubmRlBQkCGxUXqRVIHuhAkTaNu2bbr3T0g9UiLQXbRokXYYLcJcQY2ha9eu8d5773Hs2DFtP6j2la+88gofffSRoWJsWqEEaNHR0Xz++eesX7/eIJbVC4br169PYGAg7u7uTxybN27cYO/evWzcuJGTJ08SFhaW4OOcnJzw8PDg5Zdf5tVXX6Vhw4bkz59fey8yQrD5IpOac44a6+PGjdMqLimUb6Zu3brMnj1bCwzKqPnuq6++Yt68eQCG+RwkGD2z06VLFw4ePGgIrClXrhw//vgjrq6uT91+YGAgc+fOjSfaHjFiBH379k1Rm0kR6D5OFCF7A0EQnmUSEujq50Wr1UqxYsV4++23eeutt8iWLVuKEy3o58t58+bx1VdfAcYkijabjYoVKzJnzhy8vb0zNDmyIAjPDiaTicmTJ7N8+XJtTlF7Nz8/P5YvX25I/Gtv2/7999/s27ePlStXEhkZCWCoKq4PDLe/5u7uTp06dahduzbt2rXD0dExxfbU4wS6Li4umEwmAIKCgnjllVee6j0Tng61Po0ZM4Y1a9bEO2usXr06c+fOxc3NLV3XMv29Fi9ezKRJkwDi+cYdHBwYMmQIvXv3TrKfRz+m9fex3zeIbSQIgiAICaPOq00mE927dyc4ONjge9Qn+njppZfo3LkzrVu3TpJA157ff/+d4OBg7RwgNjZW+5var+pjiy0Wi6G4gYeHBwDdu3enUqVKCSaJFZ59HifQVXZPSgW69uzcuZPg4GAWL15MbGysFmNitVpxcXHRxqP9HlNfaEN/VlqzZk2qVavGgAEDDEmYBEEQBEEQBOFpEXHuY1AO4J07dzJ69Gju3LmjGQ6Ojo60bNmSjz76iN9++42NGzdy6NAhzGazoXqE/u21z75Tp04dTaSbJ0+eDHudjxPo6gOMP/nkEwICAjKsn8KLzZMEuh4eHrRp04ZOnTpRvHjxjO6ukM7cu3ePjRs38umnn8YLAkqpQDcwMBAPDw8GDhwIyKHg88ypU6cYMWIE58+f1w6WlXN76tSpNG7cWHvsrl27WLlyJcHBwYSFhRmCevUOP/tqut7e3nh7e9OrVy8qVKhgEGc87eG6CHQFQUhLLl++TOfOnbl9+7Z2uKHQZ75VODs7Y7PZKFWqFLly5aJo0aKUL1+ebNmyUaFCBdzd3eOJK1RSDHv7ac6cOfj7+6ftC0yExAS6SqgZFxdH06ZNCQwMzJD+CalHcgW61apVY+nSpVy9epVWrVqJMFcAYNmyZXzxxRdA/Mpdo0eP5u233063vugr6H7wwQds3rzZsD9U+1SAd999V7N3EsN+r3rhwgWuXLlCaGgo58+fx8XFBXd3d1xcXChWrBilS5cmV65cuLu7J9qGkH7ExsYSGRnJ+fPnMZvNWK1W/Pz88PDwIHfu3NrjkvoZrV27ljFjxhj8MY6Ojtoa3rNnT0aOHJlhiQh37NjBZ599xvXr1+NVR3399df5+uuv0z3AWUgaDx8+pGXLltoarPaEderUYf78+U/Vtvq8161bx/vvvx/Pp9iuXTvGjx+f4nFhL9BdunSplhwhsQq6skcQBOF5ISkVdP38/AgICKBFixZPVQkdYOnSpYwfPx6IL8zNkycPAwYMoF27dri4uKTOCxQE4YXgypUrdOjQgbt372q2jLOzMy4uLrz33nt07dpVs3sU9nNZSEgIQUFBBAcHc+zYsXhnR/bPsQ8Qr1GjBqVKlaJPnz54eXmlqKpYQmdFyjdhtVpp0qQJ06ZNS+nbJKQiN27coEWLFty7d88QW2S1WunQoQOfffZZhtis+jV8ypQpLFy4EMBQkQ/+s9PmzZsXrxqZIAiCIAhph8lk0s7Y33rrLUJCQjT/d2oIdO2T0Bw9epTbt2/z888/Ex4ezvHjx7WEL3ocHBzIkiUL5cqVI0+ePLRu3Zq8efMaYjfF//l8Yi/Q/emnn/j999/j/S2lAl37cXPp0iX++ecfNm3axMWLF7l+/XqS+1qkSBGKFi1K8+bNqVy5Mnnz5k1SHwRBEARBEAQhOUjql8egNvfly5cnd+7c3L59WwuisVgsHDhwgGPHjtG5c2fq1KnDiRMnmDFjBnfu3OHevXvaxl050pVw18HBAYvFwq5du9i1axcrVqygZcuW1KhRg9dee027f3pVFcmXL59W8Ukv0NVnbi1TpgytW7dO874IQmLkzp2b4cOHA8QT6KrKQEuXLsVkMjF69GiyZs2awT0W0gM1T2bPnh2LxRKviqnNZtMENWazmTlz5gAkSaA7YsQI7WdxFD7flC5dmtdee43z589rmSVVAMaWLVt45ZVXtPFSp04dypUrx61bt5g5cyanT5/m8uXLWhCFep5K5qGyAkZGRnL37l3GjRtH0aJFqVatGt26dSN37tx4eXlpfUmJ4y9r1qw0b94cIF5WdIvFov08duxYAC0Du4xrQRCexJUrVwzCXHVoolBznZrvlO1isVg4efIkJ06cYMeOHdrfCxcujJubG5UrV6ZkyZIUK1aMqlWr4u3tbQhUU/PWzZs3tfZUkG96HY54enpqNpIS6Lq6umI2m4mLi6N169Za9QDh2UaNz2zZsmmfuRLowqO1Hf4bmwcOHKBt27ZcvnxZhLkCVquV2NhYduzYAcQXCFSvXl0T5qbXHKaEYFmzZmXSpEmEhoby77//an1TQcZms5l169ZRs2ZNKleunGh79hVMihYtStGiRR/bB70gUq0TQvpy8OBBTpw4wcqVK7l79y63bt3S/ubu7o6zszNNmjShZMmSBAQEaOv4k+arVq1asWfPHn799VftsSrQG2DTpk0UKFCAgIAAQ4BxehAeHs6ff/5JaGgo8GgcqqD36tWra8FLMiYzF2azmYcPHxIVFQUYg8lUEix1PSWo55UoUQI3Nzfi4uK0tuE/EcPTtq/Gevny5enatStAPIGu3j81btw4ADp06CD2uSAIzzR58uThq6++Mgh09fOao6Mjly9fZtGiRdy4cYPu3buTP3/+JM179vuIRYsWMXnyZMC471brxiuvvEKjRo1EmCsIQrKwWq0ULFiQVq1asWTJEgAtlsNsNrN161a6dOkST4Son5+sViuFChXi/fffJzo6msWLF7Nnzx6Cg4O1xO36PS6gXVf2yj///KMFmtetW5cGDRoYqowlZd5M6KxI+a1atGjBl19+meS2hLTl7t27xMXFGXyJjo6OeHh40KpVqwwTveoTD/fv35+LFy+yfft2QwEDq9XKrl27WLNmDe3atRP7WhAEQRDSAZvNpvm2N23apJ1hAoY9plqXL168yPLlywGSLNBV5/zqcRUqVACgbt26uLi4cPnyZaKjo4mIiODhw4fYbDayZs1Krly5cHNzo1ChQom2LXvP5xN94Ytq1arx999/GxKxq5/j4uI0u2To0KGaQPdJe179uLHZbBQpUoQiRYrQsWNHrly5wpkzZzh//jwnT57k/v37XL16FWdnZ7JmzYqDgwNlypShcOHCFC5cmJo1a+Ls7EyWLFkMbcpeVhAEQRAEQUhNpHLuE1CHE3/++ScjRowgJibGEJz7+uuvM3v2bO3xoaGh7N+/n59//pm9e/dq1+0DNFWAmjpwUUE6rVq1omLFirRt21YzqtPLELCvoOvm5kZsbCwvv/wyy5Ytw83NTTOoBCGjCAsLY/r06QaBrqpeBvDdd99Rv379DO6lkB7o58a1a9fywQcfABiqkujnzpRW0BWeb9Q6f/nyZQYNGsS5c+cMlfI8PDyYM2cO1atXj5c0w2az8e+//7JlyxZWrVpFVFQUJpNJW/PtK0CqMaj2EQUKFCBPnjy88847FClShIIFCxraTu7an9QKup988gkBAQFP87YJgvACcPnyZdq2bUtUVJQmStVXW4RHc5W9SakPNtNn1bd/voODA8WKFSNPnjzs3r07Xpvt27fnk08+iWd/6NtLa1tJVdCdNm0asbGxABLM9pyS1Aq6KkATEGGuAPxX7aRly5ZERkYaKuOYzWbefvttRo4cqQUwpidq7xoWFka3bt24cuVKvEqiTk5OvPfee/Tt2zdVxqocZGc8ISEhrF27lkWLFmEymbRgX7V2qmQXKhDcZrPxyiuv0KBBA5o1a4avr2+iyQLV9RMnTjB69GjOnj0bLzEh/Jfgr2fPnrRo0cIwf6YVatwtX76cL774Ip7Q2GKx8PLLL7NixQrtvZBxmjlp3ry5YVzZbDZ8fHz46aefKFy48FO3f+bMGdq3b09sbKw2L1ssFurXr89333331GM1KRV09QIMMO4ZBEEQnmXCwsJ4//332bdvX6IVdLNnz06lSpV4//33KVGihPbchNZm/X4kJCSE1atXa4k3E/J5li1blm+++cbgXxUEQUgO27dvZ8CAAQDaPKb+DRs2jP79+yervStXrnDkyBG+++47IiIiiIyMNOwJFQnFjSiaNGlC2bJl6dmzp7aPTIo98+DBA9avX8+kSZOIiYmhVatWWnID8VNlLHr79fPPPzf4E+G/hJErV658YlK09MBms7Fu3Tq+/PJLIiIitDMAZW+3bt2aL774QpKyCYIgCEIak1hsnH4foT+v15/Np6SCrv29VfuP20fq/yb+9xcH/Wf922+/MWrUKMA4BvUC3JRW0NXzuHGo4vWSMk4FQRAEQRAEIS0QcW4SuXz5MsOHD+f48eNaIJc6/B0+fDj9+vWL95wff/yRI0eOsHbtWu2afSCkPlOqPlC9TJkyNG/enNq1a1O6dGntelobCUqgu2jRIqKioqhYsSJBQUEizBUyFfYCXcWsWbNo0KBBBvbsxSQjnBePcz6qqioJOW5EoCskxsOHDxk1ahSbNm3SxpEaLy+//DI//PCDYazYj/tDhw5x/PhxfvjhByIiIgwVeFUwmhqT+iQfKsNlmTJlqF+/Pq1atcLHxwdXV9d4jsqk8DiBbpYsWYiJiQFg69at5M+fX5zigiAkiMlkIjAwkLVr1+Lp6cm1a9cMf1eHfUqoqOZEq9Uab+5KqNKZml9VO3ohr77yeIECBcidOzelSpWiTJky5MqVi0qVKuHq6oqnp6ehT/q5MrX3JlFRUfz8889MnDiRt956i6+//jpN7iNkPEkR6NoL0u0PE0WY++KgxsvWrVsZNGgQLi4umM1mbXy4u7uzYsUKSpUqlWF9VHvaTZs28emnnxIREaHtT5UozdfXl1WrVlGgQIEM66fw9FitVlavXs3//vc/du3aBWBYp8GYAEP/N5vNhpeXFyVLlmTixIkUKlTosTZIdHQ0c+bMYenSpURHR2vX9feqVKkSAQEBNG/ePE2rgqp+btu2jXfeeUcTxyt7zGq1ki9fPqZOnUq1atUSFR4LmYNu3bqxf/9+bZw6OTnh7u7OtGnTeO21157q87PZbFy9epWOHTty584d4FFVqDp16jB//vxU8X0nVaDr4uKCyWQCYNq0aTRp0uSp7isIgpAZCA8PZ+TIkezdu1ebr9XeAB4F9WbLlo3PPvuMihUrPnEPumLFCnbs2MG2bduAhIW5BQsWZN68eRQpUiQNXpUgCC8SY8eOZfXq1QCGKqF16tRh8uTJ5MyZ84lt2Ns+165d48SJE6xYsYLDhw8THR2dZN+poly5ctSpU4cmTZokOW7kwYMHrFq1irNnzzJhwoQnPl5IX7777ju++eabePZyuXLlWLJkiaGiV0YSHR3NO++8o63tev+Ch4cHq1evzhRCYkEQBEFID9SabTKZtII7aU1SYuPsRbH6/1W10c6dO9OmTZsUCXSFzI99crT02PMnNjb1ia3tkxLZ/z2lAl096uxeVfFVSY3U2ZecBwmCIAiCIAjpiYhzk8HChQuZMmUKYDyQqVatGp9//jkvvfSSJsDRb+y3b9/OL7/8wuHDh7l586YhwEjvwLbPiurs7IyLiwvdunWjfPnyNGzYUGszLQ2p0NBQgoKCOHr0KPPnzydLliwizBUyHTdv3mTGjBn8/PPPgFGYK46k9EPNRSEhIdy8eZOqVaum+T2T4nxUzhz7ylXqcSLQFfSoMXXy5Em6detGVFSUoQKUl5cXH330Ec2bN4+3/trPN2FhYfz666/s3r2bvXv3GsagPgmHwj7IokyZMvj5+fHOO++QM2dOw9hM6tyWkEDXwcFBc3B+/fXXvPXWW8l/owRBeKGIjY3FxcWFBw8eEBwczO3btzl8+DCXLl3i7t27nD9/HmdnZx4+fGh4nrOzs2bj6CvlJmR22s9p+oy+esGvnhw5cuDs7EzFihUpVKgQRYsWpUKFCri6ulKoUKEEbSS9jZbSfeK9e/c4cuQIr776KiDBbM8zyRXo6sfpuHHj6Ny5MyBj5EVi5syZfPvtt/ESDRQsWJBly5aRK1euDB8Lt27dYvr06fz6668AhuqNLi4ufPLJJ7Rq1UrG7TOKxWLhyy+/ZNOmTYSGhgLES4ChSKxCk/o9R44cfP/991SoUCHBNVNdCw8PZ9iwYezfv99giyvxIfxn27Rr146AgABtT5AWgRB79uyhV69e8ewuFSzcsWNHBgwYgJeXV6rfW0gd1Nwzbdo0fvjhh3gCayWehafz+UVERNCqVStu3rwJPKoo8dprr/HDDz+k2ut5kkBXX4Utb968dO7cmbfffhsXF5dU64MgCM8+am5Uc8qzkmDiwYMHvPvuu+zcudMw5yn05581atTglVdeoW7duuTKlQs3NzdiYmK4efMmwcHBbN68mcOHDxv8+vbCXG9vb5YtW0axYsUy5PUKgvB8oObatWvX8sknn2CxWLRgbjWH6QPHk9uuok2bNpw4ccLgP7CvRqb/m0Jdd3FxoVOnTrz88su0aNFCaz8xW14vHBF7P3OgPoePP/6YVatWGWxogFdeeYWgoKAM7OEjVF+PHj1K3759iYyMNJx5Ojg4MHXqVBo1aiSxGYIgCMJzj1oXL126xPz582ndujVVqlQB0i5GMTmxcepcSp3Ti0D3xUGNzRs3buDg4ECePHnS3IeUlLFpf0alj5NPjQq6giAIgiAIgpAZEXFuElAb/7CwMAYPHsyxY8c0Q0D9bcKECbRp0yZRIyEyMpKIiAimT5/OuXPnuHDhgva3hKrpquv6Q+fXXnuNN998k1dffZUcOXLE619qEh4ejo+Pj+GgXBAyG2FhYXz55Zc0adKEN954AxBDPT1RDp4rV67QpEkTzGYzQUFBvPLKK2l2z8c5eNR8qZyPbm5utG/fnuXLl2tOSHsnEIhAV/gPm83GgwcP+Pjjj9mwYUO8oG5/f3/mzJmj/Z7QPKO+E8rRuWjRIvbv38/WrVu1x+izVupR661yTObIkYOyZcvSokUL/P39yZ49+2PvbY+9QFcxc+ZMLdmHzJeCIDyOxx3aPHz4kHPnzhEdHc2hQ4e4ceMGV65c4cyZM5hMJu7du2d4vFp3VXsWi0ULPrOvEqHQz096sa7KeqrHzc0NFxcXypQpg5eXF6VKlaJUqVJ4e3tTrlw5XFxc4mUw1mdRTe58KMFszz9JFejqH//pp5/SqVMnraq0jJHnHzVOVGUdfUVEm81GgwYNmDVrVkZ3U2Pv3r306dNHm4/1fii98E14tjCbzYwcOZItW7Zo66P9GqtPIqCvMm+/BqqACG9vb+bMmUPFihUT3A/ok3R16tSJ27dvG+wnfXIOPz8/mjVrxsCBA7XHPE1QiP2avXnzZoYOHaoFIqn3QM3V1atXZ9y4cZQoUSLF9xTSj7/++ot+/foBaGuu+jdy5Eh69uwJpNyWvX37Nm3atCEsLEy7h81m4/XXX2f27Nmp9jrs+2gv0FV7Yz8/Pzp37kzr1q01m18QBAGMa+3ChQsZMmQIPj4+md4W1fdv0KBBbN26NZ4Azd43D+Dl5YWLiwseHh6YzWZu3bqlCePUHjshAVuBAgX44YcfRJgrCEKqYTab6dq1K8HBwfGSqpcrV45vv/2WvHnzJrk9/bw4btw4Vq5cCaAly7L3caqkBvZ+J/U35XOyWq3Uq1ePGjVq0KxZM0NF34Qq8cpZUOZB2cTDhg1jw4YNhvURoEaNGixYsEDzg2cGbt26xXvvvcfBgwfjiSzat2/PF198kdFdFARBEIQ0RR8b1759eyIjI2natCk9evSgQoUKQOrvt54kflQ/x8XFkSVLFhYuXMi0adO0ZJpWq9WQ9EsEus8n+rHZrl07fHx8WLx4MXnz5k0zgW5SKuaqn11dXalcuTL79u0Tga4gCIIgCILwQiDi3GRgs9n45JNPWLlypSGgzGw2kyNHDoKCghI9BFaGQ1xcHKdPn2bTpk2sXr2a+/fvExcXF68iQGLVdd3d3fHx8aFXr16UKVPGUKUyLYwqMXiEzE5sbCxubm6AjNf0RO/gCQgI4Pbt2wB4e3szY8YMatasmer3TE5WwCxZsrB06VJefvll5s6dy/Tp0zWBrjo01B989+/fn+7duxsSHwgvJuvXr2fEiBGAUUhrs9n47LPP6Nix4xPb0I/Vu3fvcuTIEX744QeuXr1KWFiYFjxhn+hDoQ9mB6hZsyZlypShb9++ZMmSBQ8PD4OYLbF578GDB/zxxx98/PHHgFQYFwTh6XmcvREXF8e9e/c0we6tW7c4cuQIly5d4v79+9y4ccNQCUCfZV9fHddePATGoDJ7oZGyl+wr7MJ/82mhQoVwcXGhQoUKvPTSSxQpUoQKFSrg5ORkCFyzJ7MHPT/PqPfeZDLh6OiojZH0/jyeJNC1rwBVu3Zt5s2bh6OjoyS4ekFQc2KHDh04evSoYY9ns9lo2rQpgYGBmWrfNWvWLE0wrMYy/FeVfNGiRSJseMYwm83079+fXbt2xauupK+glBiPq2aXI0cOVqxYQaFChRKcg9X4P3DgAIMGDSIyMtIgtNELgt3d3alduzaBgYFkyZIlxa9Xvw8JCQlh69atTJkyJZ4wV70GHx8fvv766zRNICakLjdv3mT48OEcOHAgnk+8cuXK9O7dW7Npk4vVauXWrVt07NhRE+eqsdKwYUNmzpyZ6r51e4HusmXLWL9+PXFxcRQpUoROnTrRtm1bsmXLlmr3FATh2Uetu5cvX6ZTp07cuXOH1q1b88EHH+Dl5ZXpbVX9XPrFF1+wbt06LYGXfm6HRz7QxHwFev+o3gZzcnKiVKlSTJs2jSJFiqTfixME4blGzUd//PEH48aN48GDB4ZzmBw5cjBt2jRq1KiRpH2jfr7+6KOP+PnnnwE0f5GyX5o1a0ZUVBTbt29PcA7U90G1p+ZSJycncufOTefOnalYsaLYPs8QqnKuvS8pLRIHpQbLli3TRLjKN2+xWKhVqxbz5s1L08psgiAIgpCRqH3f5cuX6dy5M7dv39bW7UaNGtGrV69UF+imRJhbuXJlYmNj6dGjB8HBwVJB9wUgsbjNChUq8M0336SJQDe5cZsrVqzAxcWFGTNmsGXLFs2no2LkRaArCIIgCIIgPG+IODeJqE1/aGgoXbp04fr165oR4OjoiIuLC4MGDaJPnz5akLg99ofmwcHBHD9+nLlz5xIeHq4JxvRVLBT22VmdnZ1xd3enZcuWvPrqq9SpU0eCfwVBSBf0AUJdu3bl1q1buLi4YLPZMJvNaSLQTa6DJygoiAoVKmCz2bh37x6rV68mMDDQINBVzxeBrgDGAIehQ4eyefNmbcyp682bN2f8+PG4uLg80RFo7ywMDw/n2rVrLF++nG3btnHv3j2DyCyhbOb21XSLFStGuXLl6NChAxUqVNCqQD7OMRkVFcWvv/5K3rx5pcK4IAhpgl78k1iAcEREBCdOnCAyMpIDBw4QFhZGaGgoly5dwmq1Ehsbqz1WfyCj2gcSnCvtExXoA9X0lXH1Ab0A2bJlw9XVlYoVK5IzZ06t0q6HhwclSpTAxcUl1d8nIWmocXTx4kWmTZtG0aJFCQgIIE+ePBmydiW1gq5as6tVq0ZQUJAIdF8wOnXqRHBwcLw56O2332b06NEZ3T3g0VjetWsXw4YNIyoqSruu5lZ9Ihch82M2m3n77bfZv3+/Qeiixp/NZsPLy4tcuXLRsGFDcuTIgclkIi4ujm3btnH9+nVu3rxpqEanz1huNpspVqwYCxYsIE+ePI+1IbZu3cqHH37IvXv3DDa6alP9X7p0afr370/lypUN1aaeZJ/Y//2PP/5gy5YtbNiwIV7gur6a1Pfff4+/v/9Tv9dC+vLtt98yc+ZMLeAb0D7fli1b8vHHH+Pp6ZmitsPCwmjbti3h4eHAo+9L69atmTRpUuq8ADv04/fff/9l/vz5nD59mrZt29KhQwcR5gqCYEAfWNm5c2fCw8NxcnLC1dWVhg0bMmbMmGdOoLtgwQLWr1/P8ePHAeKJbhWPs/31+5vcuXNTs2ZN3n33XQoUKJAeL0cQhBeMS5cu0atXL65fvx4vuXqdOnWYP3/+E9tITJjr5OSEg4ODdi75wQcf0LNnTwBWrVrF/v372bhxIyaTCUCrnmovrFDzorLd3NzcMJlMvPHGGwwdOpSSJUumwTsjpCbjx49n6dKl8c4Jy5Yty5IlS/Dw8MgU53hqTT58+DA9evQwJMm02WzkzJmTtWvX4uvrm6n3JoIgCILwNFy8eJEePXpw8+ZNXFxcsFqtml2b2gLd5MbGLVmyhPLly2uFTeLi4ujevTuHDx+WCrrPMfq4zS5duhAeHo6LiwsWiwWr1ZomAt3HjU1l3yQUtwmwf/9+lixZwubNmw0CXf1zQAS6giAIgiAIwrOPiHOTgc1mIzY2lvHjx7N69ep4WUvLli3LTz/9pInUEjMQ7A/Ow8LCWLduHTt27GD//v3adX1gnH1FPXUIA5A9e3aKFi1Kz549KVmyJEWLFtUemxbVdAVBEG7dusVbb71FdHS0duirgmJTW6Cb3KyAysGjF0Tcu3ePVatWGQS69sG7IAJd4T/mz5/P1KlT4wVeACxcuJBatWolu001ji9evEiHDh24f/8+YKxYZu8UT+jvikaNGlGlShUCAgK0jIKJBebp9wLiwBQEIT15nDjx/v373Lx5k6ioKI4cOcLp06dZs2aN9nf7KvfqkEa/hidUETAx4e6TKu06Ozvj4uJC8eLFyZIlCzlz5qR///6ULl061d4P4fHoA9E7depEREQEALlz56Zp06bUrFnTILJKr4D0pAh0HR0dNUFu9erVWbx4sQh0XyC6dOnC4cOHtT2cmm/69evH8OHDM7p78ejbty9///23Nl+qubZv376MGDEi04s9BBIMsNGPPZvNxiuvvEKbNm3w9/fHx8fH8PyIiAjCw8OZMmUK+/bt0wIf9MktlF3SvXt33n33Xdzd3RPtj8lkYsOGDUyYMCGeQFfNlWpO9PX1pWzZsnTt2pVq1aoZRJaPS/hx//59zp07x6pVq1i3bh1mszmeMFdV7gGj2FxsoGcD9TmZTCZ69+7N/v37tTHp4eFB8eLF+eSTTyhXrlyK73Hz5k1at26tVRFQe8X27dtrVaDSAv0YPHPmDGFhYVSqVEmEuYIgGFBzhb4aj6urqybQcnd3f2YFunv37mXjxo2sWLFC+7t9hXQ9+sqR+sSFFSpUoEWLFjRp0gRfX9/0ezGCILxw/Pjjj3z22WfAozMaBwcHPD09+eKLL3jzzTcTtTOSWjF35MiR9OnTx/Dchw8fcubMGRYuXMjp06e5cOFCohXFFWquNZvNNGnShGnTpqXSuyCkBWp9nDVrFrNmzTKIGQBy5szJmjVryJMnTwb2Mj5ms5lWrVpx7tw57ZqDgwNeXl5s2LAhnt9BEARBEJ4XYmJiaN68OVevXsXd3Z2HDx/GExemlkA3ueJHJcxV+091JikC3ReD69ev07p1ayIjI3F1dSUuLs5wTpSaAt3kxm2qsRkXF6clRT9w4ABBQUHxBLpSQVcQBEEQBEF4nsi8J7eZEAcHB7JkyUKzZs0AtENh+O/g48SJE/zwww/aYxNDf2ButVrJkycPvXr1YtGiRXz44Yda+/oDaf3PekEZwIMHDwgODmbs2LH06dOHRYsWERwcbHiMaLAFQUhNQkNDtYDI2NhYQzUTZ2dn7t69y3vvvcfevXuf6j4pFeYqAa4ie/bstG/fnhEjRmhOSScnJ63ar3rsnDlzCAoK0gI1hRcLtVZ27dqVkiVLag5uFfgAsHjxYu7cuZOsdlWA+7lz5+jduzf379/XMqTbi2r1wfD6fqnvgurHpk2bmDhxIr169SIwMJCQkJAE7wsYnKziuBQEIT1JSJSo5iZPT0+KFStGxYoV6d69O61atSJLliza/KjW6Hz58lG9enW8vb0BNDGOzWbT5kxV0VzNnfbCXJvNpomEVMZYJf5Vc6vFYiE2Npbjx4+zf/9+XF1dRZibjugz/AYEBBAREYGLiwvOzs7cvHmToKAg+vfvz+jRo1myZAkmk8nweaclagxly5aNtm3bEhAQgJ+fn0GIqcajs7Mz+/fv1ypJ2AfYCc8Xaj57+PChoVq3GpPXrl0zPC6jUfZTnTp1ADR7SF0/deoUQKYWeQhJE+a++eabTJw4kWbNmuHj4xNP+OLr60vJkiWZO3cuffr00arO2dslVquVPXv2cOXKFe1aQri6utKkSRMmTpyIl5eXZmPrkwyp6rwRERHs3LmTAQMGMHToUKZOncrBgwcJDQ3Vgi9U1fuHDx+yZ88e1q5dS69evRg2bBg///yzQUysgjfUWPby8mL27NkizH0GUZ+jq6srnTp1onDhwlitVnLkyMFbb73Fl19+Sbly5Z5qTo2KisJkMmnztbKVvby8gJTtKezX+YTa0K8NJUuWpE6dOiLMFQQhHg4ODkRERNCnTx9u375tEKbCfwHBmzdvZsKECURGRhqS+2ZG9OLbmjVr8tFHHzF58mRKlCiBp6enFhiqAjLVP0dHR+1/NcfmyJGDjh07MnPmTDp06CDCXEEQ0pzKlStTpEgRQ+Iii8VCZGQk+/btAxI+a0mJMFefkN3NzY0KFSrwxRdfsHDhQrp27UrZsmW15yrbT6HWArPZTMuWLTVhrsSFZF6UDVK+fHnA+Fk5OzsTFRWl+WcyyzqvbPrs2bMDjwTrjo6O3L9/n/Dw8AzuoSAIgiCkHe7u7owePRovLy9iYmK0tVwvdty4cSMLFizg6NGjgNEXmFSSEhtnX5VUL8xVjzWbzbi4uLBkyRIqV66M2WzWEgzrz7EuXbrE8uXL+fnnn4mKikpRn4WMZdu2bQBawkv7pNJHjx5l6NCh3LhxwyAmTy6JjU0XFxfNvrGP21RjUxW4AqhWrRrdu3enYcOG2hmQ8gvpRbxDhw5l06ZN2muTcSkIgiAIgiA8S0gJlxRQs2ZN2rRpw88//6wF5CpD4OjRo9y7d4/s2bMnKQBMH/Tm7OxMjx49CAwMjPeYhCro6qv5OTo68uDBA6Kiopg8eTK5c+emevXqdOzYkWLFihmqQGb2jNqCIGR+KlSowLBhw5g7dy7btm3TnCbqEFgv0E1pBd0nOR9tNttjswLaowS6AIGBgVo/zWazJio2m83MmTMHQCrovoAoB6CbmxstW7bk66+/xmKxaP8ATp8+TXh4uBbk/qT1VD3mwoUL9OnThxs3bmhjWDkovby8GDJkCEeOHGHdunXa8/SOdrXPUGu/+m7s37+f/fv3s3btWpo0acKrr76Kv79/PIGvIAhCZkHNTfZ2UsmSJcmaNSt37twxHLLkypWL+fPnc+PGDS5evMi1a9fYv38/kZGRHD9+nPv372siHXi0f1CHTPYBy6ptvSBNn7TDarXSokULpkyZYmhPSDv0FXNVhSj9gZ5+3fv111/59ddfWbt2LY0aNeLVV181iKjTyta1F+gCWgVd9Xc1zvQC3cWLF2t7TKmg+/yh5pO8efNy/PjxeNW879+/D2QesasKFKlSpYqhMrkiKioqI7olJIPEMt4rW9xms9GiRQsmTJigBTJAwmuvsuEHDx6Mq6sry5cv59atW9q4Vo89ffo0S5YsYfz48Y8dyy4uLjRo0ABvb28GDx7M3bt3tTbs/Zpq/O3Zs4fdu3ezcuVKnJycyJMnD76+vsTExBATE4PVauXs2bPaPKrur3+9SqDr7OxMwYIF+eSTT6hVqxYga/iziPq8Xn31VXbu3ImbmxtNmjShTZs25MmTJ54YIbmosWU/NlQSmOSOF7W+22w2FixYwJtvvkmhQoUSHHv63zPLuiAIQubDw8ODChUqcO/ePSIjI4FH9pDNZtMEusAzUUFX3y9XV1datWpFxYoVOXXqFMuXL+fatWtcv349XoCo1Wole/bsZMuWjS5dulCuXDlq1KiR3t0XBOEFpnTp0tSqVYtLly4ZkqBaLBaWLl3K66+/Tt26dQ3P0c/HY8aMSbIwVz9Xqj2jp6cnnp6ejB07losXL3LgwAEWLVpEeHg4kZGRmn2vzrT0vszMvC4Ij1CVZtWZH/w3RsxmMzt27MDf3z/TfI4ODg64ubnx0ksvcejQIc3GV+t3XFycjDtBEAThuaZhw4a4uroybNgwoqOjtTge5WO3WCxs3LgRQKugq08i/SSSGxunL1phv/7qzySDgoIM5wlg3CsqgS4gFXSfQTp27IjJZGLFihVcvnw5XvJVvUA3pRV0Hzc2VXxGYgVV9OdSqp1q1appbW/evNnwHVIC3bi4OK3Pb775ZrK+S4IgCIIgCIKQ0TjYJL1Mili1ahUff/xxvCq4AJMnT6ZVq1ZJbktvQCxcuFA7PHF0dNSCO+0/Jr1gR48KcFNO8Zw5c5I7d2769+9P8eLFKVasmKG/4iQXBCG56OesgwcPMn/+fP7880/g0eG0PuDW29s72QLdxzl41AF2coS5eu7du8eqVasIDAw0CCBVdVTVfv/+/UWg+wJz6tQpunXrplW5VWPLYrHQqFEjZsyY8cQ29MLcXr16JSjM9fb2ZtWqVRQqVAj4zwF5+PBhfvrpJx48eAAYA9n0VXSVE1J911xdXTGZTNSvX5/PP/+cnDlzpsl7IwjC84V9ldmMwGq1Eh0dTfPmzQkNDTWIeXx9fVmxYoVW1U893tHRkWvXrhEVFcXp06f5999/uXHjBocPH8ZsNsercq5eo8oOrK+0p6982qJFC7788kvDfYS05/Lly7Rr14779+8bhLlAvHVPL8RydHSke/fulCtXjsaNG2vPSavPTvXl/v37rFmzRhPo6vunEmSYzWaqV6/O4sWLtd9FoPt8EhgYyNy5c+PNKQULFmTx4sXky5cv0xwaW61Wrl+/TkBAALdu3TJk0s6RIwe///472bJlk7GaCUmsYq6ywW02G61bt2bSpElA0oSpaq40m81MnjyZpUuXGvyNaiwXLlyYuXPnajbLk7h8+TJjx47lxIkTPHjwQJsX9f7NhOwZdU99sgN9Ag1736h6nq+vL3Xq1KFbt25UqFAhya9fyNyEh4dz7tw5ypYtm+QkmE/i1KlTdOjQAbPZrFWKsNlsjBo1il69eiWrLb0wt3Pnzhw+fJgOHTowYMAA8ufPL2NQEIRko9blhw8fMnHiRNavX2/wDerXQnd3dxo2bPhMCHQV9vOixWIhNDSU4OBg7ty5w6lTp8iaNSve3t54eXlRu3ZtsmXLZvBvPguvUxCEtCet91n6c51BgwZx8eJFg+3i4OBAt27dGDlyJIDh/AiSVzH3cXOa/d9DQkK4dOkSP/zwA+fOndN8n61atWLy5MlJalPIPNhsNrp27cqhQ4cM/iSr1UrRokUJDAw0JCTMDIwaNYrffvvN4LvPkiUL69evJ2/evBncO0EQBEFIe3bs2GEQ6JrNZkNsHECjRo00gS48ee+aVrFxyneZ2LmC2n/YbDaKFClC586dRaD7DKGPX1u0aBErV67UEkrrfUhqf1mhQoVkC3STOzYfJxq3b+/AgQMEBQWxefNmzc7Snwsp4a8S6No/XxAEQRAEQRAyKxJtl0Lat2/PH3/8wZ49e7SNvzI+Vq5cSc2aNZPkhNYbDgsWLNACwVVwjzKK27VrR7ly5Vi9ejUXL14kOjpaM6D0Boo+u6aDgwO3b98mPDycYcOG4efnx5tvvkmLFi3ImzcvWbNmTYu3RhCE5xy98KBq1ara9T///NOQ1UyJJpJbQfdJWQEhvoMnqcJcSLyCrr7PUkFXKF26NL169dKq5+oPx//9918OHjxI1apVE3UAJlWYu3z5cgoVKoTJZMLV1ZWGDRvSsGFD2rZty+rVq/nnn384ceKE1q7+e6Bf+5UwF6Bly5YizBUE4bHo5y77/zMCBwcHPD09KV++PKGhodphksVi4datW/z777+aOFdfMS1v3rw4OTlRqlQpWrRoAUBERASxsbEcPXqU69evc/nyZY4ePcrDhw+5cOGCVmUQHgmA9FUmRJibMagqyOqzh8QP2fTXTSYT8+fPB2DdunW88cYbvPbaa+TKlSvBxz8tSamgq+x4qaD7/KPGVp48eQAMIkmbzUZISAjnzp0jf/78GdzTRzg6OpI7d25y5crFrVu3gEcVgB0dHXFxcUlW1mwhfTCbzQkG0Kg502az0bZtWyZMmACQ5OAKtQ46OzvzwQcfcPToUY4ePWpIWmGz2bh06RKnT59OkjjXYrHg5+fH9OnTWbJkCdu2bePMmTPxqk3Bo7Gnr5SuDwxSdpje16lfJ8xmM35+fvTq1YvXXnuNfPnyaf2QII1nn5w5cxrs2tT4TO/cuYPJZNJEFWo8+fr6JqsdvTC3R48eHD58GIBNmzZhs9kYOHCgCHQFQUg2al3OkiULH330EYAm0NXbp89iBV0wzuPqXLNgwYIULFgwyW1k5tcnCEL68bjzmNRAtZM7d26KFy/OxYsXDfa+xWJh3bp1dO/enXz58hl8PSmtmPu4fqg9ZaFChShUqBA1a9Zk586dbNmyhaioKBHmZgCptc/Pnz8/Bw8ejGeDX7hwgWPHjlG6dOlMZVOosaxseXU2Kb5OQRAE4UXB39+f6dOnx6ugqxJMJreCbmKxcfokxiktWqHOJF1cXOJV0FVn5VJB99lFHzPes2dPAE2gmxoVdB83NpVwNrljMykVdK1WqzZupYKuIAiCIAiC8CwintIUoAyJRo0aERwcjMlkwmq1asFh586dIyQkhLx58z7W6EiqMLdVq1aMHz8egDp16nDp0iW+++47rl27xq1bt7T76kW6+uz/yuC+ePEic+bMYfHixXTv3p3hw4en6fskCMLzS0ICXZvNxrZt2wxOk+QKdJ8kzLXZbMnKvJYYiQl0zWazCHQFjYoVK5I9e3bu379vyBx59epVdu7cSdWqVZ9amFu0aFHtAFv//GLFijF8+HAsFgvz58/n8OHD7Ny5U3PC22cOVMLcWbNm0aBBg3R4dwRBeNawF+SeO3eOGzducPbsWVxdXXFycqJixYp4eXkZhGTpEdil+pU7d27tnvBo/Q8NDY33WEA7NFJ9tNls+Pj44ODgYBDoREdHY7VaOXnyJJGRkRw5coQzZ84QFhbGqVOnMJvNNGzYUIS5GUitWrWoUaMG//zzj/ZZOjg4kD17dnx8fLh06RKAoUqkxWLRHgv/JYrZvXs33t7e9OrVi7Jly1KtWjVtzCRVrPYkRKArKNTYqlu3Ll5eXty/fx/A4If5/fffqVatGh4eHhnZVQP66qX6SqQeHh54enpmVLeEREgos72aX55GmKvQVyPv06cPo0ePJjY2VpuH1VjetWsXDRo0eGL7yk7JmTMnAwYMoHHjxixevJh169YZ7G3ly1SouVP9DMa9iwo2Uc/z8/OjYsWKvP/+++TMmVMCMoQkcfPmTcA4Dzo6OhqSejwJvTC3e/fu7N+/X/v97t27bNmyBQcHB/r27ZvkatOCIAgKtS4/rwJdRUJ9VPadBFsKgqCwtz3CwsKIiori0qVLZM2aFWdnZ4oXL463t3eqz302mw1PT0/69evHX3/9RWxsrCHuIjw8nNmzZ/PBBx/g7u4OpF7FXHvsq467uLhQr1496tWrp11/Vub/5wH1Xt+7dw+r1Yq3t3ey21DrXOfOnfnrr7+4d++edl3Z4F999RUVK1akZMmSqfwKko96zeocUn0vLRaL9v2TMSgIgiC8KCQk0FV+7+QIdJ9UlTSh2LjkFK3Qt5WQQBeMe0gR6D57pJVA90ljU50bpWRsplSg+/XXX/PWW2+Jz0gQBEEQBEHI9EhEaApQhsRrr73G7NmzCQ0N1YwDJycn7t27xzfffMPcuXPJkiVLgm0kR5irMp5aLBYKFy5M4cKFqVKlCsePH+e3335jy5Yt3Lt3zxDgpgww+O/gx9HRURPvFC9enEGDBqX12yQIwnNOQgJdBweHeBV0VeDikwS6T3LwQMqzAibE4wS6+p9FoPviUrt2bV577TV+//137Zoa18uWLeO1116jcuXKhuekRJhr7/BU49nZ2RkXFxcGDRpEZGQke/fuZcWKFZw5c4bbt2/j4OCAk5OTlplw5syZmjBXHJKCINij5oSgoCAOHTrExo0bDUIYADc3NxwdHWndujXlypWjbdu28ao0pAVq7ixevDjwaK5VNtHevXvp2rWrVuXMHtXHhA41bTabJopTQk01V1qtVi5cuMCDBw+oWLGioS9C+uLj40OlSpX4559/cHBwMAQ8jhkzhhMnTrBu3TrOnTunZaBWSTPg0WdvNpu5ceMGU6dOxdnZmbZt21KrVi1effVVQyKMpyUpAl29yFwEupkX/dyWUgG3ErVGRkYakhQBHD58mDt37uDh4ZFp5hcXFxdtXlTfNyX4jIqKwt3dXarnZhISE+bqqzY9jTBXoZ5TokQJXF1diYmJMVSvBbT5LakVeW02G+7u7pQuXZpJkybx2muvERwczMqVK4mLizMEHavXBo/mVzXPq2sqCN3Ly4vmzZtTv359qlSpon3nxPYRkoIaz8pvrhfpJoXEhLmqHWdnZ+7cucPKlSupUKGCiHMFQUgRap1XAl0HBwd+//33xwp0bTYbY8aMwdvbO9PsOZOLfo8h67ogvNgoO13NC2vXruX48eP88ssv2Gw2Hjx4oNkNBQsWJFeuXLRq1YqKFStSunTpeO2kBNX+Sy+9hL+/P5s2bdISKKg95bFjx3j48CHu7u58+OGH/PLLL0DqCnPtUe+J/rXZbLZnct5/FlGf36VLlxg+fDivvfYa3bt3x9fXN1ntqM8uZ86ceHt7ExkZGe98+sGDB6xatYrBgwfj5eWVFi8nyTg6OhIREcHJkycBDDZ45cqVk/36BUEQBOFZ53ECXfXz4wS6ya1KmtKiFSAC3eed1BboJjduMyVjM6kC3bi4OO1e7777rgh0BUEQBEEQhGcC8dSnEKvVSr58+ejXr5+h4oMyNi5evMg///yjXdOTUmGuvjKUp6cnNWrUYMKECcyYMYNhw4aRLVs2Q5UhBwcHHB0dtX8mk4ny5cuzbNky3NzcNKNJEAQhpehFPVWrVqV3795atmb9vGVfQXfv3r2GdvQHefbORzW/pqYwV6EEuiNGjMDR0dEglND/PGfOHIKCgrh9+3aK7yWkLvZra2qjxl379u3JkycPgBac7ujoyMOHDzl06JDhsakhzNWj/355eXnx1ltv8dVXX/HDDz/QoEEDChcurK3ls2bNomHDhlo/xREpCIKe6Ohodu/ezcCBA5k4cSL/+9//gP/WVmdnZy2Rj8ViISYmhuXLlzNmzBgGDhzI7t27iYqKMogNUxu1lpcpUwZAE12qOTAqKgpnZ+dkzW36KsH21/TCjOLFi4swN4NRn3Pv3r0pWbKk4fO5ffs23377LX369OHbb79l5MiRZMuWzZAcS49ap9VYXrp0KR988AHdunXjjz/+4Pz584bHP82YthfoBgQE4Ofnp41dvfBHL9BVv4s9nvFYLBZN9Af/Bbmm5HPJnTs3bdq0AYyVaJ2cnAgJCeGbb74BEq4Qlt5YrVYePHjA3bt3tWtqbixatCienp6Zop9CwsJcJf5TP6eGMFehAs8rV66s+RTV2HB2dtYq+SQV+zW3cePGfPjhh/z000+8//771KhRg7x582qPUa9J/a+uWa1WihYtSvXq1Zk6dSrz5s1j9OjRVK9eXVsLZMwKT0LNzeHh4YBxn+jm5ka2bNme2MbjhLlqHKp9RdOmTWnXrl0avRpBEF4E9ALdDz/8kGbNmpE1a1bgkR9dzWUxMTFs2bKFCRMmcPfuXcN8JAiC8Kyh5riHDx9y9OhRhg0bxgcffMCyZcuIiooiNjbW4CO8ceMGhw8fZuLEiXTv3p2FCxdy6dIlgKf2ZTo4OODp6Ym/vz9grPANcOLECZYtW8bnn3+eLsJc+74l9LOQdqjP78qVK3Tt2pUTJ06wfv16Vq1aRURERIraLFSokDY+VLJ95acym81s27aN4OBg7f4ZSVxcHA8fPow3hnPmzAkY/WGCIAiC8CKgBLoeHh6a39DBwUFLMAywceNGFixYwNGjR4FHSSjTWvxoj71At3Llytrewz7O+NKlS/z000/88ssv3L9/X/aazwD2At0OHTrg5+cHGH1I9gLdGzduaP4nSFyY6+LikmhBlZSOTX0sXLVq1ejevTsNGzbUviOqPSXQBXj33XfZtGmT9nxBEARBEARByIw42MRT+lQcOXKEQYMGER4ergWFqbe0Xbt2jB8/3vD4pxXm6rE3bi5cuMDff//NH3/8wZEjR7TrWbJk4eHDh5QvX56lS5dqwlyp1CMIQmqhn9sOHjzIvHnz2LZtG4DBmaOcfj4+PkyfPp2aNWsa5jh756OqBpTazkd77t27x6pVqwgMDNQEE+reeidoly5dGDZsGJ6enqlyXyHpJEVw+rQB6Qlx9+5dBgwYQHBwsDYulOMyX758rFmzBl9fX21dTS1h7pOwWCycPn2ajRs3UqZMGRo3bgyIMFcQhPjcvn2boKAgtm7dyrlz5wxBvAlVHrX/W9GiRWnQoAE9evQgR44caSaCsdlsnD59mrZt22pzrZpvvby8WL16Nfnz55dqjs8pNpuNuLg4pk6dypIlS7Q1VIkle/XqxfDhw3F2dubkyZPs2LGD3377jQsXLmht6JNmAZpIV+3lsmbNioeHBz179qRixYqGbLxPs36q596/f581a9ZoFXT1FYBV4iyz2Uz16tVZvHhxvMQwQvqiH19NmzbF09OTNWvWAKToc9m8eTNDhw4FMBxy22w28uXLx0cffaRV7c5owsPDadmyZbzEQ127dmXs2LEZ1CtBT2LCXBVkkdrCXHg0l/Xt25e///4bMO4J8ufPz/r163F3d3/qeygiIiI4cuQIt27d4ty5c8TGxmrC3Bw5clC0aFF8fHyoXbs2gBaEkVBbgpAUPvvsM3788UdD8I+Pjw9r1qwhf/78iT7vScJcVenZarXSokULzd8v4nFBEJ4WtcY/fPiQSZMmaRV04VGlejWfubu706BBg2e+gq4gCC8uat6KiIjgp59+YtOmTZw8edLgy1TB5Xp7QP1d+YRef/11mjZtSvPmzQ3tJhd1D4vFwqBBg9i+fbt2b3XuqU+IkF7CXCH9UevxlStXCAgI4Pbt27i6umIymcifPz8dO3akffv2yaogq8bX+fPn+eSTTzhw4IC2tsMj31KFChWYN28e2bNnz1A/4vfff8/XX39t2H/kzJmTxYsXU6xYsQzpkyAIgiBkBnbs2BGvgi4Y4+QaNWpEr169ePnll7U9YUKxcern1C5aoVB7iYTOH9Q91P43e/bsTJs2jbp16z71fYX0QX2GFouFRYsWaRV0wehDUjZMhQoVtAq6JpMJV1dXIH3Hpt6uO3DgAEFBQWzevFmzufS2lqoqPWXKFFq2bJniewqCIAiCIAhCWiJRoE9JxYoVad68OQsXLtSCyJWBvXbtWt544w2timRqCnPBWHVFBc4XLVqULl26sGzZMo4ePcr69et5+PAhZcqUEWGuIAhphv4wvGrVqtq1P//8U5vHLBaLJpC4c+cO7733HtOnT6dWrVpA/MxryrGS1sJceFRBFyAwMFCbJ81ms0Gge/fuXRHmpjN64YSLiwt79uzhzp07XL16laxZs+Ll5UXx4sUpUaJEqgu2bDYb3t7eDB06lIEDBxIbG6uNdWdnZ0JDQ1m+fDn9+vXD1dU13YS5Kvi3bNmylC1b1tBfCVAXBEHPjRs3+OKLL9i3b5+W3VYdyuhFCfp1XB3MqAOPCxcusHLlSkJDQ3n//ffJnTt3msw3Dg4OFClShGLFinH27FngUcb9yMhIIiMjKVSoUKreU8g8ODg44OrqStu2bVm1apVWiUEd+O3cuZN69epRvXp1ypQpQ+nSpQkICGD27Nn8+++/7N+/33DgrQ6S9Rl2Y2JiePDgAVOnTiVXrlxUq1aNTp06Ubx4cXLkyKH1Jbn7TPsKuoAm0FV/1x8eqgq6ixcv1vaYYp+nL2ovFhcXR48ePbTPqm/fvsydOzdFn0vDhg3x9/dn+/btAIb59Pr162zatIlXXnmF7NmzZ1hQrpq7r169qgWK6PfapUuXNjxOyBgSC4zRJ5BKbWEuPBLixsTEaNdUoIbNZsPNzc2QRf9p7qH67Ovrq/lMn4T6PtknExGE5PDw4UOAePvgxyHCXEEQMhL7CrqAJtDVVz+x2WxaBV1ABLqCIDxzqPkqLCyMSZMmsXfvXu7evav5MvVVQ/U+TPW/spnMZjPbt28nJCSE27dv07NnT+35KanmpP6vUqUK27dv1+Zle5GweqwIc59PnJycuHDhAt27d+f27dta9TBHR0euX7/OTz/9BJAsga4aM8WKFaNOnTocOHBAu67Gl5OTk1ZBev78+QY/Tnqgt8GVvx7Q/Eg+Pj5kz549XfoiCIIgCJkVVUF3+PDhPHjwQFuvld/QYrGwceNGbDYbvXr1omLFivz222/xKuY6ODgYxI9BQUGpKszV30tV0NWfQ4DRT1q7dm0R5j5j2FfQBTSBrn4c2VfQnT59OgUKFACSXs05tcam3qbSJ9XevHmztu9VfniVHGf79u0izhUEQRAEQRAyLXIS8BSog6DGjRvj5+dnCDJTAWsHDx4E0AxpSB1hrj36jLHOzs706NGDwMBAvv32W3r16sWKFStEmCsIQpqiD26sWrUqvXv31gJt1Xxms9m0eeju3bsMGzaM06dP8/vvvyfJwZMWwlyFEuiOGDFCq2Tm6uqq9blVq1YEBgYCj8RCQtrj5OREaGgokydPJiAggLfffpvhw4czbdo0vvjiC0aOHEmnTp1o2bIl06dP19ZdxdN8VmptLVKkCGXKlNH6o6o5Afzzzz+4uroSEhKSLsJcINHxLwHqgiDouXr1KgMHDmTr1q2aMFcfLJbQXKLmJ30QkIODA3fv3mXr1q18/fXXREREGNb81MTZ2RlPT09D26pKXkhICIAhGE94vrBarZQuXZpOnTrFE1+dOXOGjRs3ao+1WCx4eXkxatQovvnmG8aMGUO5cuXw8PAw2OP2laCVLXz79m02bNjA8OHD6dmzJ+vXr9eCzPSHk0nFXqAbEBCAn5+fIQuxPlhUCXT1gjshfVAH00qYe+jQIVxcXHB2dubvv//Wgmf1NklS2gRo0qQJPj4+2nWV6ADgt99+Y8WKFcCjDNXpjfo+/P3338TExGivz2w2kz17du3gW/aUGUdiFXNVEE9aCXPVXHXlyhXCwsK0DPl6qlatipubW6qMj4T6bB9sb/8d0e9hBCG5qPkuLCwMQBN5ODo64u3tjYeHR6LPE2GuIAgZjb1At1mzZmTNmhUgnihMCXQnTJjA3bt34wna0hP7vXRS99aCILx4qL3T1atXGTx4MJs2bdKEuXobICG/pv7vZrNZszXOnz/PokWLWLZsmfb4lNrhjo6OdOnShSJFihjiPVR7yu8jwtznm9mzZxMeHo6bm5tmDwAGge6qVauIiIhIcptqDA0cOJBXX31V8wHoK5s5OTmxa9cuPvroI8BYhS+tUWN906ZN/PHHH9p1NdYDAgLIlStXuvRFEARBENIKvS9av8YnB39/f6ZNm0bWrFkNe1LlPwT43//+x/Lly5k5cyajRo0CHi/MTavYOHuBbuXKlQ2xxBaLhZYtWzJjxgztNQgZQ0L2y5NsGnuBbocOHfDz8wMwxH7oBbrDhg0jLi6OLVu2xKuY6+DgkOZxm/q4k2rVqtG9e3caNmyoJeBW/nmTyUTr1q2ZPn16qtxXEARBEARBENICOQ14CpSRUapUKV566SXNQa4X6S5btowzZ85oRuy8efMSFea2bt06RcLchPqkeOONNxg1apQIcwVBSBfsBbp9+vSJJ9BVPyuBbkBAACNHjgQwiBP0Dp4lS5akqTBXoRfoOjs7YzKZtCBLNT8rh5WQ9oSEhLBq1So6dOjAsmXLOHz4sJYtWokolEPu3LlzzJ07l+7duzNr1iyOHz8OGKvVpZT8+fPTqFEjAC0bthoD+/fvZ9KkSfTo0SNdhLmCIAhJQSUMOHnypDZnqcMYFTzj6upKvnz5KFy4MLlz5wbQKsar56j508HBgejoaHbs2MGKFSuIiYlJ9bVQiRSLFi0KPAqaU/uCw4cPa30Rnk/UHq9SpUqanQyPRFzLli3TKkEpW9rBwQEfHx+6detGYGAg06ZNo3Tp0lrVBv1BI6AdJMJ/Y+nOnTucPXuW0aNHM2TIEAIDAzl16hQmk8mw50xKAOeTBLrqO6UX6Hbq1Mkg4BTSHhUw27FjRw4dOhQvi/nOnTvp3bs3kHSBrhorderUoXDhwgbfkNoXAkybNo3ffvsNMNpN6YWqqHb8+HFtT63GXvny5cmZM6cEWmQgZrM5wYq5av222Wy0adMm1YW58CjI/dChQ4SEhBjWfzVn5s+fH0i7RFX6OVeEuEJqo74r0dHRwKNAO6vViouLC+7u7vGeI8JcQRAyE48T6OrXbcgcAl39HPrBBx9w586dZCW/EQThxUHtnUJCQujduzfHjh0DHiVTUb5Bte/KmjUrbm5uuLq6as9XydiUDa72Yjdu3GD16tVs3rxZazMlWCwWsmbNSps2bXB1dTXY88r+V/Pb8OHDRZj7nPLll1/SsGFDYmNjgUeJfCHlAl01ZuE/gW6JEiUMAiG9T3HdunVMnDhRu3d6CXRDQkL4+eefAbTvmYODA6VKlaJixYrp0gdBEARBSE306yzETwBjv39Lqj2dkEBX7WWVb/LXX3/l22+/BYznT+klzFXYC3SrVq2KyWTShLlTpkwBZD+b3iSUsFRdV/aQvU2T0HlNSgS6TZo0YfDgwcCj8aHsrPQYm4kJdNX9lQ9+0qRJ2usQBEEQBEEQhMyIKDWfEqvVipubG0OGDCE4OFjL5KoMlJiYGFavXs1HH33E/Pnz+eqrr4CEhbnKgEgr8Y4IcwVBSA/UHOjg4EDVqlW1a3/++ac2vylxkJOTEzExMcDjswKWL18+3Rx/SqDr4ODAl19+yVtvvSVBlumEvsLdnj17WL16Ndu3b+fBgweGzHwWi8Vw8KzGjRJbzJo1iwMHDtCyZUtat26tOR9T8tmp57Vo0YLNmzdz8OBBQ8Zqi8VCUFAQNpsNFxcXLfhMhLmCIGQUV65coUuXLty6dUubO1WQmKurK7lz56Zt27ZUrlyZUqVK4eTkRGRkJFevXmX9+vXs27ePK1euaLaD/nAyPDycjRs3Ur9+fUqXLp2qc5uao4sXL264r+L27dtaP4Tnm0aNGtG4cWM2bNigHRKqQ+wdO3ZQu3Zt3N3dDYeSDg4OFClShCJFilCpUiX27t3Lxo0b2bhxo6Fqrto/qHbVdbPZzKVLl5g7dy4bN26kcOHCDBw4kAIFCpAvXz7tXk/aT9gLdAF+/PFHLl++DDwa52p8nz9/no0bN9K4ceO0eTOFBPnjjz+4cOEC8OizUJ+tqkjSp08f5s2bp42PJ/lTbDYbOXLk4MMPP+Ttt98mJiZGs3uUQNdsNjNt2jS8vLzw9/c32E3pgYODA8HBwWzfvl3rs/pO+Pv74+npmS79EOITFxdHly5dOHr0qKFiLqB9Rl27dmXs2LHatdS2Lc6fP8+SJUsAY9Isi8WCn58f7du3B2QdFp5N9Ek6EsJ+3/k4Ya7yBYgwVxCE9MZeoAvw+++/8+DBAy3JFjxKyKISG40ZMwZvb+90m6P0c+jbb7/N3r17OX78OEuXLsXLy0uSCAuCoKHmpStXrtC1a1du3rwZz5fp7OyMh4cHLVu2pGTJktpZYWRkJP/88w8HDx7kwIED2mPNZrMhydHJkydZv349VatWxdfXN0U2uLK9atasyffff4/JZDKII9X/o0aNolevXobXJjwfqPE1c+ZMBg4cyLZt23BycsLR0VEThOsFugDt27fH19f3iW2r8VW6dGkaNWrErVu3tHgjeCTGiIuL4+eff8bNzY0RI0ZoYzAtzx2tViu7d+/mwIEDWl+UTVS7dm3KlSuXZvcWBEEQhLTAfo928uRJzp49y9GjR4mLi+PBgwe89NJLFC1alFKlSlG0aFGDrf2kfaQS6A4bNozo6Ghtf6r2C/oz94SKVqSHMFehF+guWrSIZs2a8dJLL4kwN4PQj6+IiAhOnTrFvn37OHHiBHFxcdp+tEqVKhQtWpSaNWuSI0eORM8Z7QW6ACtXruTy5cuGz1adl1+9ehUwVsxNb9G4/rVUq1ZNu/a///2Ppk2big9eEARBEARBeCaQE9CnRG328+TJQ5kyZdizZ492YKSv8jRlyhQWLlwIZIwwVxAEIT1JSKALxBPoJiSwTG8HT0Jkz56dNm3aUKxYMfz9/QFx8KQ1eofhhg0b+O6777h48aIm4lbZ0YF4Dkb1sz4AY+/evYSGhnLnzh169eqVYoGuenz27NkpU6YMBw8e1Pqjz0yov78IcwVByCguX75M586duX37drxgNi8vLzp16kT9+vXjZbXPli0bhQoVonz58ly5coVx48bx77//xqvcB3DmzBnmzp1LYGBgqs5tai7Pli2bdk1/kBQcHExUVBTu7u4ypz7HqLFWr149/v77b2JiYjS72Wq18vvvv9O+fXsqVKigjRn9OLFarXh7e9OoUSMaNWrEH3/8wZEjR1i+fDlxcXHAo8oW6p/ag6rvytWrVwkJCeHYsWMUKVKEtm3bUrduXQoUKJCkfcTjBLp6cZCfnx+dO3emdu3aafBOCo+jbt26DB06lB9//JGQkBBDRR5Aq6CbHIGu+tzLli3L22+/zbx587QKzHq75+bNm3z//fdkyZKFGjVqpKtANywsjHnz5gFG8WWFChV4/fXXgaQFmAipz7Rp0zh69Kj2u33lWqvVSvPmzQEwmUxalajUIiYmhm3btmmJBNTYUPNiuXLlEqwsKgjPCkqkERkZCRj3mL6+vmTJksXwWKmYKwhCZkX51BMS6OrnoYwS6CY0h7q5uXH27Fk6d+7M8uXLRaArCALwaO/0OF9mtmzZaNmyJQ0aNKBmzZrx2qhVqxZXr15l165dfPbZZ5q4QFVWUuc4GzduxN/fn9atWz+VvVuhQgXefvttvvvuOy1gXeHp6UmBAgUAZI57DtH7hb7//nveeecd/vzzT5ycnLS1WfmWrl+/zooVK4CkC3QBPDw8aN++PWfOnGHLli2GCrrKdxQVFcXKlSsxm82MHj06zQS66vt55MgRZs6cSVRUlPb9tNlsVKlShUGDBgHiRxIEQRCeDdR6pezhJUuWcPDgQTZu3Jjoc3LlykW5cuXo2LEjpUuXJl++fEkW6E6fPt0g0FVrqH2CwIyOjdMLdDds2GAQbIqfM33QjymLxcL333/Pvn372Ldvn/YYfVXZvXv3YrPZKF++PCVKlODdd9/Fx8cnwTOjpAp09eNSVXPOKNG4vUA3Li6OatWq0a1bN0DGpiAIgiAIgpD5cbDZW35Cilm/fj0jRowAMBgCKqgORJgrCELmRO/A0M9F6kBRBQQn18mhdyQdPHiQ+fPn8+effwKPgonU4+CRo0Xv4MkMc6M4eNIW/ThZtWoVkyZNIjo6Gng0TpRgQl/pTu9M1Its1HWA/Pnz079/fzp27PjU/bt9+zbt27fn+vXr8YTBqnKuCHMFQcgo9MFsqpK3Cmbz9fXliy++4JVXXtHEr487QHzw4AG9e/cmODjYsF6r+dXNzY05c+ZQo0aNVH8dp0+fpnv37jx48EA7AALw8vLi999/J1euXKl+TyHzcf/+fbp27crp06e1MajGc61atZgxYwZeXl6JPt9+/T127BgrVqzg0KFDXLx40VA1N6EqeqryhaJMmTKUK1eO3r174+vri5eXl2EPkNB3SV2/f/8+a9asMVTQ9fPzIyAggLZt2xoE6ULaoz6Xu3fvsnr1an788UeuXbsWz+ZRmcvr1q2rCVqTGmB7/PhxJk+ezMGDB+Mlc7FarTg7O1O9enUGDx6sJTJK62BGs9nMb7/9xrRp0wgPD9equpjNZrp06cJHH30ke9YM5M8//2TlypVaVWM176kKnWo+mj9/PnXq1Ek1+1SNu8OHDzNixAiuX7+u2V1qznVxcWH58uWUL1/+qe8nCBmFxWLBYrHQtGlTLSkD/PcdqFOnDvPnzweeXDFX75cQYa4gCEnlSfZCSuYQ9ZyHDx8yadIkTaALaHOV8re7u7vToEEDxo4di5eXV5rNWYnNofqkisWLF2fJkiX4+Pik+v0FQXh2SEiYm5Av8+OPP6ZGjRqauNG+wpN+Ltu5cyf9+vXTbG7lU1Q/FypUiMWLF5M/f/6n6vvff//NyJEjuX//vtYPRYcOHfj888+fqn0hc6P3C+kFuoDB/2O1WsmXLx+dOnVKskBXrZchISEMGTKEU6dOGfyWas8AkCVLFlq0aKGNt7TwKZ0/f57evXtz48YNg6goX758DB06lObNm4sIXRAEQXgmUPvGqKgoDh06xPLly9m+fbshxkf5/pSANy4uTttH+vj4UKhQIUaNGqVV80wKO3bsYPjw4Tx48EBrS++TVLi6urJ06VIqVKiQYUle7IWakngjfVDv+/379/n7779Zs2YNu3bt0uIx9FVs9cmFzWaz9pgiRYrQsmVLmjRpgp+fX4Kfn7qPxWJh0aJFmkAXHsV+6J+j9p1ZsmRh0aJFVKpUKd393497HYIgCIIgCIKQmZEdayqgDCB/f3+twiIYD2RUoKcIcwVByAyoeUv9rxwYcXFxhIWFERERQUREBGFhYZhMJoAEHR9PQu8kqlq1Kr1796Z+/frAf/Oe3nGi5kkHBwdGjRqlOR8zw9woDp60Q+9UW7ZsGR9//DHR0dE4OjoaBGHK6eju7k6xYsXIly8fuXPnBjBUsFFtqs/s+vXrrF69Wgt0TwnK+ZgtWzbq16+v9U3vNFdZLX18fFi6dKkIcwVBSFceF8yWM2dOvvvuO954441Eq9LqsVgsZM2ala+//poSJUoYKkGoOfnhw4dcuHAhTV5LtmzZsFqtWhCdg4MDzs7OxMTEcP78ecB4aCk8f6g1d8CAAbi7u2tBaGpMXL58mXPnzgEkKKwFDOuvyiA8ZswYlixZQkBAAKVKldLaVPtV/bhSB5HqEPzUqVOsXr2aPn36MGrUKHbu3Mndu3cBEjxMV9f1FXQDAgLIkycPefLkEWFuBqI+F29vb9q1a0dAQAAFChSIl+RFiRNVBV3AEOD7OMqVK0dAQADZs2cHjNWalSD24MGDzJkzhwMHDhj6ldqoefvy5cssXrxYE+YqgUTRokV577334u1thfSlfv36dOvWTfMpKltZ2SEuLi4A9O7dm7179xqSEaUUtb5fvXqVsWPHcv369XgCGicnJ959913Kly//1PcThIzEyckJV1dXQ4VcNefdu3cPk8mkBd2JMFcQhNRCn4wS/rM9QkNDuXnzJiEhIYSGhmK1WuPZNElZc1VQpaqg26xZM7Jmzao9X/nYAa2C7oQJE4iMjEyVfYQ9j0tuoF6fi4sL586d0xIiCILwYpIUYW7OnDmZOXMmjRs3Noga9Xsu/c82m426desyY8YMzZbRJyN2cHAgKiqKyMjIp+7/q6++yiuvvKLNow4ODpoPauXKlezateup7yFkXvR+oe+++4769etr65x+fXV0dCQ0NJQVK1awatUqIiIinti2sv8LFSpEYGAgefPmNZyR6889Y2NjWblyJX369OHOnTupLqD5999/6dOnj0GYq/pYvXp1Xn/9dRHmCoIgCM8Eau95+/ZtvvvuOyZNmqQJc5UQ12w2Y7FYNPs1Li7OkEjrzp07HD16lO7du7Ns2TLCw8OTdG9/f3+mTZuGh4eHwWZW/ne1fletWhUfHx8sFov2mPTGPm5PSHvU+Lp16xYzZsxg2rRp7Nq1yxA3qfad9pVt1Wfk5OTEpUuXWLBgAZ999hnHjh1L8KzRvoJuhw4d8PPzM/RDfx+175w+fTqVKlXCZDKlu/87oXEoPnhBEARBEAThWUAq56Yys2bNYtasWYYqF/DocEZllRRhriAIGYV+zjGZTBw/fpz9+/dz4MABwsLCuHDhghaw+PDhQwoXLkyePHkoWrQo/v7+5M2blxIlSmjtJSUQMakVdNVjfX19CQwMpFatWqn62oXMhX5cBAUFMXHiRABDpmmbzYaPjw+FCxemb9++5M2blyJFimAymYiNjWXr1q0cOnSIDRs2GKrXgvEwvF27dowbNw5XV9en6vOePXt4++2347UP/1Wi+OWXXyhSpEiGZbUUBOHF40nBbAsXLjSs20lB2TA//vgjU6dOxWQyaUE4yqapXbs2s2fPxsXFJdUO6mw2G3FxcXTs2JFTp04ZKgIAjB07lq5du6bKvYTMz9mzZ+nfv78mGFNj0Gaz0bx5c6ZOnZqs9vT7jmvXrrF9+3a++OILw/hNrBquvUAdoEaNGtSoUYNOnTrh6emJq6trgs/XV9DdvHkzNpuNhg0basJNIWNIqwq6ie1vE6p24uLiQqVKlRg4cCC1a9cGUlfkpfpy7949BgwYwKFDh7R9tsViwdfXl+HDh9OuXTvxS2Ug+jGzc+dOlixZwo4dO4BHay5gsHMWLVpEzZo1Uzxe1Bi+f/8+Xbp04cyZM4Ys7ErU4+/vz3vvvUfp0qVT6dUKQsagxnTTpk25cOGCIUjp5ZdfZunSpWTJkiVBUZkKXBJhriAIScF+Xjh37hznz59n06ZN3Lp1S0tyFRsbS5YsWShQoAA5c+akSZMm5M+fn0qVKiXaVkKoPVxCFXTtkwi5u7vTsGFDxowZk6oVdB8nzLWfQ/XnooIgvHgkVZibEl8m/HeeOWXKFFasWGGwa1RCg169ejFq1KgUVwNTc+6ePXsYNWqUJsyw2WyaaLN9+/Z8+OGHuLu7i7DhOSYtK+iq78mZM2fo2rUr9+7dM/iU4FGya4vFQtmyZenTpw/VqlUjd+7cifo2E0P/uNu3b7N//34mTpzIzZs3tfuq72fZsmX55ptvKFiwYLLfM0EQBEFIb9SaeuPGDT799FP279/PgwcPDPvDxM7z7NdRlajf2dmZ3r17065dOwoVKpSkfthX0FVxw3r/5FtvvUWvXr2oWLGioR/C84kam6GhoYwdO5ZDhw4RExNjOJ/Uj4/H/aw/zyxcuDATJ06kSpUqKaqgqxeP22w2qlSpwpdffknBggXlDFEQBEEQBEEQkoiIc1MJZZyYTCY6duzIyZMn4xnv6udWrVoxefJkQIS5giCkH/bOl6VLl3Lo0CE2btxoyPKsqkQBBoek+nvu3Lnx9/enYcOGVK5cGU9PzyQ5B58k0FUHi+oQ29vbmxkzZlCzZs3UfSOETIF+PCxevFgLzFLBXEqYW6VKFVq0aMFbb72Fj49Pgm3duXOHHTt28NFHH2lCB5XRUjkXAb7++mveeuutp+77559/zvLly+OJefLkyUNgYCCVK1fWxByCIAhpSVKD2VIadHv+/HkCAgK4d+9evEyrpUuXZuXKlU+d9CAh3n33Xf73v/8Z9iVWq5X+/fvz3nvvpfr9hMzLvHnz+OqrrwC0dd1qtZI9e3YCAwOpW7dustqLi4vTKlB+8cUXLFu2TBtn9lVR1f7U/iBefcfU9bJly1KqVCl69+5N/vz58fDw0NqwP8g3mUwAafK9EZJPWgl09XPuN998w3fffQc8snP07Ts7O1OwYEGGDh1KkyZNUv013r17l6FDh7Jv3z5DoKiTkxNvvfUWI0eOJF++fKl+XyF5pKdAV43dBw8e0LVrV06ePJmgeDx//vyMHDkyTcalIKQ3yj/QoUMHTpw4oQUbAeTLl4+NGzdqlQNEmCsIQmqwZcsWjh49ytKlS7HZbMTExMR7jN7GdnZ2xtXVlaZNm/L6669Tu3Zt3N3dk+Rzf5xAVx9cCf8JdBs0aMCYMWPw9vZ+6rnsccJcqTouCIKe5ApzUzpPrF+/nhEjRgCPkhQoG6dt27ZMmDDhqV/LrVu36N+/PydOnIiXTC537twsWbIEPz8/EVU856SlQFet7adOnaJPnz6Eh4cbbBgwCnRz5cpFmTJl6N+/P5UqVTLEHqm21H5Afa/s/Vp79+5lw4YNbNy4kcjIyHjC3Hz58rFw4UKKFCny1O+dIAiCIKQ1ai959epVhgwZwsmTJ4FH66e9uFGfBEOdSavHqT2dWhOdnJzo168fPXr0wNvbO0n9sRfoqrNI/c+NGjWiV69eVKhQARCB7vOKGpshISEMHjyY06dPA4/GIjyqXKt8K/bxlPZxnAqbzUbx4sWZMmUK5cqVe+z9nyTQVfevUKEC33zzDXnz5pUYd0EQBEEQBEFIAnL6mUroAzdfe+01HB0dNUe33mB/6623RJgrCEK6o5yH0dHR7NmzhyFDhjB+/Hg2bNigBYUrZ4+az9Rz1D8VaBMWFsbKlSv56KOPGDhwIP/++y/379/X7pVYzge9c6hq1ar07t2bevXqAY/mQwcHB+1A8O7du7z33nvs3bs37d8gIV1JqjD3jTfe4IsvvqBt27b4+PgYqtWpdgB8fHxo1aoV8+bNw9HRUctaCWjjG2DZsmXcu3cv0TGaVMqXLw8YHaQAYWFh/P3339pYFgRBSEvSOpjNZrNRrFgx6tWrZ5jv1M/37t3jzp07qfqa1MGSSsag+q3WhcOHD2MymZ56HhcyP+ozfu211yhZsqRhj2qz2YiMjOTQoUOGxz4JlcAD4MMPP2TZsmUA2j5XHYDnzJlTO+hUewh9AJwSV6rxeeLECX755Rc6derEhx9+yK+//kpsbKzWtn7f4+rqKsLcTIT6fLy9vWnXrh0BAQEUKFDAcPisfnZycmLnzp306dMHIJ6YW486tAYYOnQovXv3BoziBdW+2Wzm0qVLDB8+nHnz5hEVFaW1ow8ISS4mk4lTp04xcOBATZirxrDNZiNv3rx069ZNhLmZBL2tXLduXbp164a/vz9g9B2azWZtHnv77bfZu3evYbw9Cb0wt0uXLvGEuaotBwcHunfvrglzZd0VnnVcXFxwdnYmb9682jU1F8fExHD69Gn69euXoDBX/dyyZUsRlQmCkCBqHTaZTFy+fJkPP/yQDz/8kLlz5xIdHW1IIGhvV8OjRBzR0dGsWrWKTz75hB49enD16tUk+RfVXJUlSxY+/PBDmjVrRtasWbW+6e8VExPDli1bmDBhAnfv3k3WPsIeEeYKgpBU0kuYC9C0aVPKli2r/a73yVy5coXY2NinsrVtNhu5cuVi8ODB8fwCzs7O3Lx5k5kzZ2pzv/D8ov/8v/vuO+rXr2+wrZUdraqirVixglWrVhEREfHEttXeoHTp0ixatIjixYtr6ys88iGo9fbWrVv89ddfdOvWjQ8++IBly5YRGRlJXFyc5k/Q+zJV/61WK1u3bmXq1KkMHDiQNWvWGIS56sw+Z86czJ07V4S5giAIwjOBXvz49ttvc/LkyXj2uFpH1bmhh4cH2bJlw8XFRatsq7BPbGGxWJg7dy5//PEHkDTfub+/P9OmTcPDw8OQIEPthwE2btzIggULOHr0qKGfwvODfmz27NmT06dPG2LL9IJci8VCjhw5yJkzJ6VLlyZ37ty4u7tjNpvjJV3Rc/HiRaZPn8758+cT7IO6h0pU2aFDB/z8/LT+2ScvPnr0KEOHDuXGjRsGkbAgCIIgCIIgCAkjlXPTgFOnTtGxY0diY2PjHW5XqVKF5cuXZ2DvBEF40VBOk4iICJYuXcrmzZs5e/asdhCnnI569BnZ7K+rLGpqfvPy8qJJkyY0bdqUatWqac9L7OD5SRV0lbNJKug+nyRVmNu0aVM+++wzPD09k9Xub7/9xujRow3Z/JTjOnfu3KxevZrcuXM/9evo1asXu3fvNjhKlYgnKCiIKlWqPPU9BEEQEiM9gtkUU6ZMYeHChQaRoc1mw8/PjxUrViRa1TwlqPbXrVvH+++/Hy/IrVy5cqxYsUITJgkvBh988AFr167V9olqzc2SJQvLli1LNPuvHv134aOPPuLnn38GMByAq79Vq1aNffv2MW/ePO7du4fJZNL2zPpDe8AQUK8fq/7+/pQpU4Z27dpRsGDB1HszhDQhrSro6ve9kyZNYvHixQAGMSQ82kfCf4HEr776Kq1atXpse3pU/9Tfr1+/zvbt2/nxxx85e/asJsxVYmAPDw9mzpxJnTp1nup9E1KfpFTQVQkFkltB116Ye+rUKW0s2lcP79+/P8OGDQNEQCM8X4waNYrffvtNW88dHR1xdHQka9asWhC6vTDXZrPRsmVLpkyZAsh3QhAEI3q/++rVq7WKuWqeUXOJQu0t9b53/WOVb9FsNjNmzBg6deqUZPs3PSvoPk6YK1XHBUHQk57CXDUP9uzZk7179xrsZ5vNRp06dZg/f36qvK6rV68ycuRIgoODtXlbzeclS5ZkxowZFC1aVOa9F4DHVdBVZ+mQsgq6avxcunSJyZMnExwczN27d+NV/YNHvkl1/aWXXsLT05NXXnmFXLlykSNHDtzd3QkLC+PBgwcEBwcTEhLC5cuXMZlMAJrvSy8ELlWqFDNmzOCll15K1fdNEARBENICtXZeuXKFrl27cvPmTcN5jP4sr2zZspQpU4b27dvj5eUFQGxsLIcOHWL79u389ddfWrsJxbE5OTkxd+5cateuneQqtzt27GDYsGFER0cn6puXCrrPJ/qx2aVLF27dupXo2KxevToVKlSgU6dOuLq6kidPHkJDQ7lz5w6//PILR44c0XxP9ntCm82Gh4cHnTt3ZuDAgVrytsT6IxV0BUEQBEEQBCF1EXFuKqOM4q+//po5c+bEc4pnyZKFTz/9lGbNmokBLQhCmqMcKmFhYUyYMIF//vmHyMhIg8jWPmO/CqABtL/bO3PshQguLi7kzp2b/v3706FDhyf260kCXeWAUk5IHx8fpk+fLgLdZ5ykCnP1QVvJJSIigi+++IKNGzcaxrgaq5MmTaJ169YpXoOVo/G3337jiy++IDo6WguyUwfX/fv3Z/DgwYlmKxQEQXga0kuYGxcXh4uLC19//TXff/99vGyoJUqUYOXKlbi7u6fGyzKwe/duevXqpf2u5uvs2bOzfPlyihYtKnbUC4B9BmElllQH1TabTVtzgUTHe1KFuSNGjKBv377a865fv86ff/7J//73P/bv369d1x+WPkmk27t3b95///2nfzOENCe5Al19UO/jBLp6pk+fzpw5c4BH41WNIf3Y8fT0pEqVKvTs2ZMiRYqQP3/+JL2GW7ducfz4cWbPns2lS5e4e/eu4YBcjdtvv/2WN954w/C6hczDkwS6ymZycXFJskA3OcLcnj178sEHHwBIkIXw3KC+G/Pnz2fq1KmJruV6n5gIcwVBeBJqTggNDWXSpEns37+fO3fuGBJi6n2Dentab9foBTBqT/jSSy/xww8/UKhQoWT1KT0EuiLMFQQhqaSnMBf+q2Du6urK0KFD2bRpU7zkra+//jqzZ89Otdc3e/ZsZsyYAcRPeKxPeCQ8/zxOoKtPyvE0At2bN2+ydu1a1q1bx9mzZw1J2vRVzvTPsU/MnRDK56/vr81mw9vbm4oVKzJ27Nhk70cEQRAEISNIaO+ZmPixQ4cOtGvXjvLly2vrp70vfNmyZWzZsoU9e/Zoz7ePPSpWrBizZ89O1lppL9BVfdKfw4tA9/kiOWOzS5cudOrUieLFiyf4mZtMJu7cucO0adP49ddf4wl01d6wcOHCfPvtt5QoUSLRcx4R6AqCIAiCIAhC6iMnoamMMoxefvllzVBRB0lms5moqCh2795teKwgCEJaoBwp165dY+jQoWzevFkT5uoP6/TVc1Vwrtlsxmw2GwST6nn6uUtl/Y2Li+PatWuMGzeO6dOnc+vWLe0xCeWA0DuHqlatSu/evalXr57WpnLiqAPNO3fu8N5777F37960fMuENCQlwtykHBzb4+vrS7Vq1bDZbAZxuXJshoWFASlfg9XYrFq1Kp6enobM1+q78+uvv3Lnzh3tuyUIgpBapGfFXFWd59q1a8CjOVnNg3ny5Emzec7Pzw9PT0+cnZ0NwW2RkZGEh4eLHfWCoMawl5cXpUuXBv4bf0ocabFY2LhxI/fv3090LCZVmDty5EhNmGuxWLBareTPn5+uXbuyZMkSPv30U1q3bq09R1W2st8bq+sArVq1EmHuM4TaM3p7e9OuXTsCAgIoWLBgvMNn9Rnv2rWLPn36ABgCKB7HsGHDGD58uEGwoBdrqLETHR3NX3/9xbBhw+jevTszZsxgxYoVnDlzhuvXr3Pnzh1iY2MJCQnh9OnTrF+/nvHjx/POO+8wYMAArZKKvm2LxUL27Nn5/vvvRZibydHbynXr1qV79+74+/sDj+xvBwcHLYkGoFWGSij49nHCXDCO365du4owV3guUfNhsWLFABKds/VVLkWYKwjC49AnEurduzebNm0yCHP1VecsFgseHh74+vpSunRpypQpg5+fn6EtZVeYzWYcHR0ZPXo0hQoVSra9rYJ5s2TJwocffkizZs20Kin2wp2YmBi2bNnChAkTtL3jk3yxjxPmqjlUhLmCIED6C3MBXF1dAYiMjASMybAAChcubLieUtRc2alTJypWrGj4m/I3rVu3jqNHjz7VfYT042nHhN6u/u6776hfv75mc+vXV5XUY8WKFaxatYqIiIgntq18nrlz56Zr165MmDCBBg0aaGuv1WrVxp36XfkVHBwcNP+6s7MzLi4umqBI+TVVYg3lD7XZbJQtW5a+ffsyYcIEEeYKgiAIzwSJ7T0TEj8OHDiQDz/8kAoVKmhroXoMPEqs1aVLFwYPHkyzZs206/rHqCIZmzdvNsQjPQl/f3+mT5+Oh4eHZmOrc0/V/saNG1mwYIG2n7QvqCE8OyRnbA4aNIgPPviAEiVKJPqZq0q6U6ZMoWfPnoYzTPWzk5MTV65c0fzaiZ3zqH2qk5MTPXv2pEOHDpq/Su9DUq/h6NGjDB06lBs3bsRL6i4IgiAIgiAIwn9I5dw0ZOTIkfz+++8AhiqVALNmzaJBgwYZ2T1BEJ5j9AFCffr04fLlywbRgr6iqM1mI0eOHPj4+FCzZk08PT3Jmzcv0dHRXLx4kdu3b3Pw4EHi4uKIjo42OGj0ATt6p1HLli0JCAigUqVKQOKB38mtoOvt7c2MGTOkgu4zRkqFuckNxlD3uXPnDq1bt+bmzZuaA1KNoY4dO/LZZ589VbCHus+aNWv45JNPMJvN8Srmde/enVGjRiWpipogCEJSSM9gNjXPmUwmevXqxcGDB7XrijFjxtCtW7enus/jaNq0KefPn9d+V/P4lClTaNmypYjKXjD01ZTVnlaN/8Sq0+q/C2PGjGHNmjVAwsJcJbK0//7Y/75nzx5+//139uzZw/Xr17Xrqk1VLUoC0Z9dnlRBV5+0yGKxULduXebNmwc8voKufhysXbuWFStWcPz4ceLi4rT5Tc1p+rlNb295eXlhNptxd3fHw8ODiIgILBYLJpPJcAiuhJfK5nN2dqZQoUKMGzeOWrVqGV6nkHlJSgVd+O/zTqyCbnIq5nbt2pWxY8cCIswVnl9OnjxJ9+7diYqKSjDASZ+IQYS5giAkhpoTzp07R8+ePQkPD9fWZr1/HOCNN96gePHitG3blqxZs+Lj44OjoyMmk4nTp08TEhLCihUrCAkJITQ0FIBmzZrx8ccf4+XlleI+Pq6Crn11x6RW0H2SMFefAFTsIUF4sckIYa6a027evEnXrl25du2adk39P2PGDBo1avR0L06HyWRi/PjxrFy50pAAyWaz4eLiwtixY+nYsaPMg88oKfncHldBV5/oV1XQ7dixIx06dEhSBV17fvzxR/bs2cOmTZu0a2oc6oVGeuz9WoDmOwDIli0b/v7+9O/fn8KFC+Pm5pbsfgmCIAhCevO4vScY49iGDx9Ov379ntim3jcfHBzM3Llz2bp1K2A8v7HZbFSsWJGffvop2f3esWMHw4cP58GDBwafvVTQfX5IztgcMWKElkT6SejPb8aNG8fKlSvjCWkdHBzw9vZm1qxZVK5c+bFjRyroCoIgCIIgCELqIYqRNEAZHo0bN2b37t1ERkZqFSmVQbJnzx5ee+01nJ2d5UBGEIRURTlOrly5Qvfu3blx44bhYFjv4MmXLx+VKlVi0KBB+Pr64uPjk2Cbly5d4tq1ayxZsoTz588TEhKizWkqAEcdOqrKoZGRkXTr1o06deoYDvz06K9XrVoV+M+huG3bNkP7qu27d+/y3nvviUD3GSK9hLnwyBHu6emJm5ubls1PT5YsWZ7m5RjuU7p0afLnz8+VK1c0J7n6np04cYKoqCi8vb3FSS4IwlOTnsFs8Gie++uvvzhw4IB2TR3mODk58dJLLwGpfxCo5lIViKwOelRA0YEDB2jZsmWq3U94NqhatSpNmzbljz/+ADBkoT527BiRkZF4eXlp4zE1hLnw6NBRjfFatWpRqVIl7ty5w+zZszl9+jRHjhwxBOBLIPqzjX0FXUAT6Or/Dv/ZVTt37qRPnz7MmzdPs4USEuiquczR0ZFWrVrh5+fHpk2bWLFiBTExMQZhrj6AWI0fm83GgwcPMJvNWrCGGncqs7pqQ9lRao2oW7cunTt3lgCOZwy9rVy3bl3tM9uxY4fBVlYVdOPi4ujZs+f/2bvv+Jru/w/gr3tvcjMkQsQMYtUWoSiiRovaW2pEihj9WrVV0RZtVY0qiqpNtdXG6FDVaqtF1ag0SmOTECKEDJl3/P7w+5ycc3PvzU1ybwav5+PRRyO541w5zvms1+ctBXQzMjKg1WoZzCWSqVevHho1aoRjx44BUG48w4q5RGQLcU24fv06QkJCEB8fL91fRfvL3d0dTZs2RZ8+faQKO0BWH0atVsPJyQmNGjVCo0aN0LFjR0RGRuKbb77BgQMH0KFDh3wFc4HsFXQBSAFd0zamqKALwGJA11owV4SSGcwlIqBwgrlA1ljmX3/9hejoaOl74r9y5cqhVq1a+X4fwWg0QqvVYuzYsfjll19w7949xWZymZmZWL16NZ5//nlUqlTJbu9L+WPa342NjUVycjKuX7+OEiVKwMnJCbVq1UKpUqXydF7Kx4XWrFmjCOiK/oYYY799+za+/PJLqFQqDBw40OaArvgMgwcPRs+ePdG/f3/s3r0bZ8+elTYSFP0cca8WROhCtAX0ej20Wi1cXFwwdOhQPPvss2jXrl2uPzcREVFhyU34cdasWRgxYgSAnOdI5GPzAQEB6Nu3Ly5fvoyoqCjFz9RqNf755x/s378f3bp1y9XcS7t27bB8+XJFQFen00n3er1ejwMHDgCAFNC1tO6Oih5L52ZmZqa01iIv5yaQNeaj0WiwYMECxMbGShu7inPEYDBIhViaNGli9TVNK+gCkAK68v6aaQVdBnSJiIiIiLJjONcBRIejWbNmKFeuHOLj4xULfAwGA7799lsMHjzYrhNBRETyAZ6hQ4fi3r17FoO5HTp0QM+ePdGtWzcAkHY7E4M18h3vq1WrhmrVqqFly5Y4ceIEfvjhB+zatUt6XfE4+UDhb7/9hrS0NDx69AidO3fOVUBXpVLhl19+UbweA7rFT0EGcwVRNcrd3R1A1vklzlVPT08AsMuCjwYNGuDFF1/E5s2bpWpn4v1OnTqFr7/+GqNGjeLgOBHlS0EvZhOio6OlnX7lYR6DwYDAwEC0adMGAOx+jVOr1dBoNAgICMDff/8tTQgJDx48cMj7UtHm4uKCgIAAfP/99wCgWEx+4sQJfPfddxg6dKhUzVT0yd944w3s3r0bQO6DuYK5jT4qVaqE+fPnIz4+Ht9++y0OHDiA8PBwdO7cmQvRnwCODOiK9nGTJk1Qr149dO3aFe+99x6io6Nx//596bHiOi/6ZQAU1XHNfS2vdqLT6VCrVi2MGzdOGpuSfz4qeHlZNCPvKwcGBkrngjygq9frswV0N27ciMDAQCQlJWHYsGGKYC4ABnPpqST+LTVt2hTHjh2T/v2IAAWDuUSUE3FNuHnzJkJDQxEfH5+tj166dGlMnjwZLVu2hJ+fn/RccQ0SbUT5wkatVgt/f3/4+/tjwIABqFu3ruI5eWUtoCu/vuUU0M2pYi6DuUQkFFYwV7h69Sq2bdsGAIr+j8FgQEBAgF3XZIiN4cqWLYsuXbpg586dUthRr9fDyckJiYmJOHjwIF555RXFxghU8MQ9VfR39+7di3PnzmHPnj3SZmii/125cmWULVsWffr0QePGjaX7svx1rLEW0BXj3PKA7hdffAEANgd0xX1XpVLBw8MD7dq1Q7NmzZCamooDBw7gypUrOHLkCO7fvy/d4+UhDRcXF6jVatSrVw/lypVD3759UaVKFdSoUUN6D97DiYioOLAWfgSUY+Cvv/66FDq09T4nH5vv2LEjjh8/jh07dkhtAXmhgMuXL0vPyQ0GdJ9MuQnm5uXcBJQB3SFDhuDcuXN48OAB9Hq9NP6k0+lw+PBhDB48GG5ublZfmwFdIiIiIiL7UBnlW8ST3YjOyC+//ILp06cjJSVF6hiLTlaPHj2wYMECKUBERJQfudkVcOjQoQgJCZEWCdkyyGP6mK+++gpbt27F9evXFVVzxXuJie/mzZtj5MiR6NChAwDLk5fy758+fRobN27EL7/8Ir2eCOaIz1GqVCkGdIuwwgjmCvHx8ejZsyfu37+f7d777rvvon///vkesBbHeuXKFUycOBHXrl0DAEUVqgYNGmDp0qVSdUkiotwyN2kjrjE+Pj7YsGED6tata/cFM5mZmQgLC8OHH36IhIQE6XppNBrh4+ODd955B+3bt3foRMv69euxfPlyRTVJg8GA8uXL45tvvoGHhwcneQqZuJfKN4ER7TV7no/ye/bw4cNx/PjxbPd3f39/LFmyBFWqVJHe2x7BXFuOCQBu3bqF2NhYNG3aNM+vSUWP+D0/fPgQX331Fb744gvcunVL8bsXm7Po9Xq0adMGGzZsAACLAV05cZ6I3au/++47HD16FI8ePZIeI6/EJtrP8iq5BoMBTk5O0oITIKvCc2hoKDw8POz5V0I2svc1QH7NOXLkCLZv3y7thC7ve8sXH61btw6rV6/Gv//+y4q5RDKXLl1CUFAQUlNToVarpTYmg7lEZI24F8fGxmLcuHE4d+5ctoq5Pj4+WLVqFZo0aZLteTkxveZYuwaZa2dae7w4xrS0NCxatEgK6AJQ9PUBwM3NDR07dpQCuunp6XBxcbEYzBWbzzCYS0TWFqDLxzIdFcxNS0vD559/jo8//hjJycmK61vlypWxfPly+Pv7O+T69Ntvv+HVV18FkLUpl3jvFi1aSIFhKhzid56WloaLFy9i8+bN+OGHH6QAgrinimrw4nx1cXGBi4sL/ve//6FDhw6oVq2a4vVyIr9fywO6wON7szzgULFiRQwaNChXFXTlTNsbCQkJSE5Oxr179xAdHS39W9RoNPDz84O7u7v0eYiIiIojRwdzzb1XfHw8Bg8ejBs3bkgBWTE236RJE3z22WcA8jY/evjwYUyZMgUpKSnSsYvNPMTYf5cuXaSALpD/Db3IMQry3BQSEhIwaNAgXLt2TbEZjNFoRKVKlRAWFobSpUvn6vj1ej22bNkiBXSBrL6OGA8yGAzw9/dnQJeIiIiISIaVcx1EdJiqVasGX19fXLp0SeqUi47zxYsX8eDBA7i7u3OymojyJTfB3AkTJmDMmDHQarUAYPOOzaY7oQ0cOBC+vr7Yu3cvDh48iLS0NGlRkthRTa/X4+TJk9BqtXB1dUWrVq0sDhCaq6ALQFFB12AwSLtOs4Ju0VVYwVxxnly7dg1paWnSOahSqaDT6VCmTBm7VXoUx+rr64tq1arh6tWr0vkv7vOXL1/GlStXUL16dQ6OE1Gu3bhxA0OHDs12T9fpdChZsiR2796NcuXKSdXy7EFci8+fP49PPvkECQkJ0v1XtCWqVauGevXqAVDu1G9vopqF/FouFkOnpaXBy8vL7u9JuSMPyArm7uX5vceL0AwABAYG4tSpUwCguOdeuXIFV65ckTaecWQwVxwTkNXm8fX1ha+vb75ek4oeeQXd/v37w9PTE2vWrMHdu3eln4vfd24q6ApiIrtMmTLo3LkzOnfujD///BMXLlzAd999h9jYWMTFxQHIOn+BrPCE4OTkhNKlS6N9+/YICAhAx44d4enpma2SNBUctVqN9PR0PHz4ENeuXUNmZibUajUqVKgANzc3VKpUSXqsLdcMeV9Z9GcAZQVdg8GgqKArFoezYi6R0jPPPIOQkBBs3LhRGptgMJeIcqJSqZCYmIiPPvoI58+flxYqin5y2bJlsWPHDkW1XPE8W5hec2wJ5o4fPx6tW7fG0KFDpUWR5p5nrYKufF7AtILurFmz4OPjg8zMTIwcOVIRzBVjBAzmEhGgnJ+0NJbp7e2NsLAwlC9f3q7XCfFaZ8+exZYtW5CcnJxtLLNOnTqoUqUKAGV41l7jme3bt0f//v0RFhYmLYQXFbFOnDiBDRs2SONQVLDkYZovv/wSBw8exH///Sf97kWFeHmfWwRndTod0tPTsXjxYvz111/o3r07evbsafWeK2etgq44R/NTQVdOvoGbWq2Gp6cnvLy84Ovri8aNG9v0d0RERFRcFHT4UTzHyckJJUuWlL4v37w4Li4O6enpcHNzy9NnateuHT788ENFQFfMgbKCbvGR07pNRwRz9Xo9vLy80LlzZ6xfv15xPmg0GqSkpCAxMdHmcC4r6BIRERER5Q/DuQ5Wo0YN9OvXD4sXL5YG94HHnfSLFy9i69ateOONNzjoTUR5lpvBx6lTp2LMmDGK5+d2sE5MXqtUKrRu3RoVK1aEr68vtmzZgtTUVLMB3aNHj6JEiRIoV64catasafG1bQno6vV6aUKTAd2ipzAr5opBvl27duHRo0eKRRA6nQ5VqlSBi4uL3d7PaDTC1dUVEydOxN9//42HDx9K57CTkxPS09OxYsUKNG7cGGXLls33+xHR0yM2NhbBwcG4d+8eXFxckJ6ervi5TqfDv//+ixdeeAHOzs523eDg9u3bmDlzJm7fvi3d08UmB25ubpg7dy7Kly8vPT6ndoQ4ttxOEPr5+cHDw0NaVCeCE507d0b58uXz9Vkpd0zPr/j4eKSnp+Onn35CXFwcLl26hMTERHh5ecHZ2RkBAQGoVasW6tevDx8fH8Vi77xOEovX6N69O7Zs2YL79+9L55VGo8GjR4+wdu1aPPfcc1i8eLFDg7ly5j4P+/ZPFnH98/b2RtWqVREfH5/tMWJhb14CuuIcEtfUVq1aoVWrVujXrx90Oh2OHz+OO3fu4ObNm7h27Rrc3NyksHrDhg3h7e2Nxo0bw9fXF6VKlcp2XJwEL3iHDx9GeHg4fvzxRyQmJuLevXvSz5ycnODs7IyuXbuidu3aCAkJsfmaYRrQFeeOuYCu6AeJza0A5YZdDObS027AgAE4cOCAtOs/g7lElJPMzEz8+OOPOH78uKLtJypBbtmyBX5+fg69r8rblTNnzsShQ4dw6NAhuLm5oV+/fjkGdA0Gg9mArvw58oCus7Mzpk+fjmnTpjGYS0RWqdVqxMTEICgoCAkJCdBqtcjMzFRsLOXj44MSJUoAyL7hVF6Ja250dDTmzp2L2NhYaSxThCs9PDwwceJExWJ0S2NT4hqWl2tZkyZNsG/fPmn8UvTfAEhztVSwxO8xNjYWixYtwvHjx6U5PPF7FuS/M/F/eRXd3377DdHR0bh//z6GDx9ul4CuvKqZPKBrNBoRFBSUpwq64ngsHZe5sVnet4mIqDgpjKqkQsmSJdGoUSOcPXtW+p5Yi5SWlobExMQ8h3OBrIDu1KlT8ejRI+mzMKBbPFg7N1UqlcPOTTEG5enpCaPRKM0Hidd++PAhYmJiULVq1VxtIMeALhERERFR3jCc60CiA9ylSxd8//33OHfunPR9MRl++PBh9OzZE40aNSrkoyWi4ig3g4+zZs3CiBEjAOQvHAEoFwZXr14dgwYNgoeHBz7++GOLO/kdPHgQ3t7emD17ttWAJAO6xZe1YC4AhwZzhZ9//hlHjx6VFqQDWYGcoKCgbKGF/BDnasWKFdGiRQscPHhQOj/FApC4uDicOHEC3bt35yAkEdksMzMTZcuWRVJSUrZK4ACQkpKCmTNnYv78+ejevXuewq9y4p764MEDhIaG4saNG9K9XCwkc3JywvTp05GZmYl9+/bh77//RkpKitS30Wg0KFOmDPz8/ODq6op69erB29tbqnBruoN/TrRaLVxdXZGcnMxFv4VM/D1HRkbiv//+w9atW3H//n2poqepgwcPAnhc/bhevXoIDg5GlSpV8rSoTM5gMKBSpUoYNWoUli9fLt3fxQThrVu3EBISIvW7HR3MpaeDWIwZERGBcePGQafTSeM58uuuaQXd0NBQbNy40aaALoBsbURR+bZbt265Olb5ec0FGQXHYDDgl19+wW+//Yavv/5asWGPCK+IQEtqaqq0gcCPP/6I4OBgtGzZEmXKlMnxXi7vKwcGBkr3aHlAV37vBrLGIBnMJcpSpUoVLFmyBEFBQejZsyeDuURkkbguJCYmYs+ePYiJiVFsBFiqVCksX74cNWvWlPoljiBvT06bNg3ff/89tFotMjIy8MYbb8BoNKJ///5Ww0LiZ5YCumIsVQR0f/jhB/z++++4d+8eg7lElKNff/0VwOM+S0ZGhqJCrVqtxsWLFzFixAisXLkSFStWzHdfRFwX4+PjMXbs2GxjmXq9Hk5OTnj33Xfh4+ODU6dO4cKFC0hKSoLRaISLiwvc3Nzg4eGBWrVqwdXVVRrHNL2WicCttWtcv379EBYWhjNnziiumd27d8f//ve/PH9OyhtxT7p58yamTJmCc+fOKe51gvha/H7F+Ls4d8UYkF6vx5UrV7BlyxY4OztLVettGY/PbUD3yy+/hEqlylMF3ZxwnIiIiIqzwgzmyjdxkZMXJ7CHdu3aYfny5dkCuvLCGAzoFj05VcyVz8/Y+9wU/So3NzfFeJV8fqp06dJ5KtrCgC4RERERUe4xnOtAomNToUIF1K1bF//++6+0iFN0zm/cuIGzZ88ynEtEuVaYg4+AchKvfPnyGDBgADw9PbF48WJpoFCEFMWxfPHFF/D19cXo0aOtTlwyoFv8WAvmit35jEYjevTo4bBFW7GxsTh48KCiOpUQGBiIdu3a2e29BJVKhVKlSuGll17CwYMHodPppHPbaDQiISEB3377Lbp3787BRyKyWeXKlfHRRx9h7ty5OH36tOLaAjyeEElOTsZbb70F4HE10bxOvol7aUJCAoKDg3H16tVswVyj0Sjdx9955x1psZI13t7ecHFxwTPPPIOAgAD4+fmhdevWcHZ2hoeHh+Kx5ipTVKlSBbVr10Z8fDwX/RYCcS4ZDAakpKRg/fr1+OWXX3D58mUAWbtByytKiK81Gg0yMzNx9epVXL58GSdOnICvry/GjRuHwMDAfFfPbdCggVSFRfSv9Xo94uPjpaqm4p7LYO6TwXQSt6AmdeWTyiEhIUhLS1NMqJsu6JQHdI8ePZqrCrqm5AtExWuLkKV8obEcz+vCodPp8N577+GPP/5AdHQ0ACiuTfJqSfIF3SqVCmfOnMHt27fRtm1bjB49GlWqVMlVQLdNmzbS900r6MofK+7ZY8eOxZQpUwAwmEvk7++P/fv3o0aNGgDYPiAi88R1Ye3atfj777+l8IxOp4O7uzsmTpyIpk2bKh5rb+aCuaJPLtqZc+bMAQCbArp6vd5sQFfeThEB3dTUVOn15G1R9tGJyNTLL7+MjIwMfPHFF4oF2+KaoVarcfbsWbz22mv5XrAtH8scNmyY2bFMAChRogR27dqFefPmITk5OVuYQtBqtVCpVPDz84Ofnx+qVKmC559/Hl5eXqhfv74i0Cnvo4vrnvgcQ4YMwZUrV5CSksLrZCESf9fR0dEYNWoUbty4AbVaraiYK84Fo9EIDw8PZGZmQq1WIzU1VfqZfI5bPO/OnTv4+uuvUa5cOXTq1MnmMc68VNAF4JCALhERUXGUU/jR0WvjxDjAlStXpO/J24UqlQparTbf7wNkBXSnTJkiFcawpYIuFY7CqpgriN/9P//8I/W9xPd1Oh20Wi3c3d3z9NoM6BIRERER5Z7KaK/tm8gs0RmPiYlBSEgIbt68KXWMxG5FPj4+2Lp1K2rWrFnIR0tExUVhB3MtSU5Oxt69e7F8+XJFBV2xK5s4phUrVqBLly45vp58YfLp06exceNG/PLLLwAgDTwCWZ/X29sby5cvZ0C3EJkGc8XvHAA6deqEVatWAbDfuSg/Rz755BN8+OGHAKAIDOn1ekyaNAnjxo2z+Nz8Eu9x6NAhaRG8Wq2Gk5MTMjIysGjRIvTt29cu70VET4+oqCjMmzfPbEBXTPh5eHhIFXSB3F3b5IvZxAIy08VsYgGamFwUC3KBrIqlIvhj+n35PQAAfHx8ULJkSbRr1w4VKlRA69atUbp0afj4+Cgel5mZCWdnZ7z66qv47bffuJitgIm/44SEBPzyyy/Yu3cv/vrrL0UlSPnGG/KKEkDWRKA8tAs83sxl1apVaNSoUb7vv4sWLcLWrVsV7yc/Hvn5x2Bu8SauLTqdDj/99BO6du0KwPG/S2vBXNO+DZB1rRTnoGiDtmnTBhs2bACAXAd0qehLT0/H2LFjcfz4cel74r4o7pfieilfcGu6cKFEiRJo06YNpk+fjipVqtj03vL7/dGjR7Ft2zYcPnxYOgb5jv3ivb/66is0atQIGRkZdlssRPQkYPuAiKw5cuQI5s6di9jYWCnco9fr0aFDB8yaNQt+fn4Oe29LwVz55i3ydum7776L/v37A7B+bRNt7LS0NCxatEgK6ALm+1cAFCE79tGJSE5cB/R6PbZs2SIt2Aayrh1ivsRgMMDf3z/PC7ZzGsuUj0nJw7jyhfEajUa6lov+u06nU4xvif5SQEAAfHx80L59e1StWhU1atRAyZIlzR7b9evXERISgrt376JPnz54//33FX8/5Hji7zoqKgrBwcG4e/eudH6IsSUnJye4u7ujd+/eqF27Nho1agSDwYCEhAT89ddfOH36NE6dMuL0BQAAkudJREFUOpXtHiuvltelSxe8+eab8Pb2ztNYPABFQBeA4nw0GAyoWLEiBg0axIAuERE99XIKPzqyKimQ1S9OTEzE8OHDERkZqRj/NxqN6NixI1auXGnX9UeHDx/OVkFXbOYh5hy6dOmC4OBgNGvWzC7vSblTVM5NABg2bBhOnjypWMuh1+vRoEEDbNy4EV5eXnk+N3Pb3wsICMCKFStQoUIFVnUmIiIioqcOVwU6mOj0lCxZEs2bN8fNmzcVFR81Gg1SUlJw/Phx1KxZkxM0RJSjohrMBQAPDw9069YNKSkpWLt2LVJTUxVVg8T1b+fOnXjmmWdy3JQgNxV0XVxcEB8fj+HDh+P777/nhgeFYM+ePVIwV6vVIiMjQ/Hzu3fv4v79+yhTpowixJNX8oG8r776Sgrmisl2scCic+fOUjDXdIGGJWLhvK0DhRqNBv7+/jh06JBiB0Hxd2DrInsiIrmqVati4cKFZgO6YpIjrxV0rS1mE+SL0uTXTnGNFRV1xc/E4mD5Y+TXxPv37+PevXu4evUqAKBUqVJwdXWFv78/ateujWeeeQbPPvssXF1d4ezsjNKlS6Nv377SvYV9JccTf8exsbH46KOPcOzYMdy5c0f6XcorMIqJONNKSvIgN5DVNq1atSoqVKiQr0k4cXzt27fHDz/8gPv37yuqXTCY+2SRL54MDg5GeHg47t27h2HDhlmtCJZfloK55vpbXbt2xfnz56WJaNMKukeOHMlXBV0qujIyMvDKK68gPDxcuvaJ81V+jxTEtdNc1aVHjx7h6NGj8PHxwfjx421aeCu/3wcGBkrXXHkFXfl7Ao+r7mzcuBGBgYG8JhLJ8N8CEVkTHh6O2NhY6V4r7u+9evUqtGCuvN8uHpebCrqinWCtgq7pBl0M5hIRkPXv3tz/HV1RyZZgrukmcvIxKLHZlmkQVzxOfs3T6XQwGAw4deoUDAYDfvjhBxiNRtSoUQPVq1dHnTp18Nxzz8HLywt169YFAFSrVg3BwcG4ePEig7mFwNzcuWkw19PTE71790bHjh3NbvLcqlUr3Lx5E0ePHsX8+fOh0+mk8SBxjotqde3atUPfvn1zNc5prYKuGFcAwAq6RERE/0++8Ya5irmioi3guLVx4l4fFhaG8+fPS9+T983r1auneKw9iAq6pgFdvV4vtU8OHDiAZs2aMZxbCORtz6FDhyrOTXEeFNS5+dVXX+HkyZOK74tzs3nz5ihVqlS+3sfW/p7Y3CY8PBxDhw5FWFhYvt+biIiIiKi4YeXcAnT8+HGpkyIWNosFzdWrV5cm14mILLEUzDVXwamgg7lyN2/exKZNm/D1118jIyNDUenPaDTCzc0NM2bMwJAhQ2yaeM+pgq54jMFgQMeOHbF69WoHfjoyx2g0Ys2aNQgLC0NMTAwA5U7S4utGjRph5cqVqFixYq53RTd9P3FOfPfdd5g+fToAZKv4WL16dbz//vtITEzEv//+izt37uDhw4cwGo1wd3eHp6cnXFxcULNmTVSoUAHe3t6oXbs2gOyD55aOVxxLamoqBg8ejMjISEWAY+XKlejcuXOePicREWD/Crq5qTIhJjblVcHFBIxpUNe0a2kp3CuO2bS6rkqlQpkyZVC6dGkEBASgefPm6NWrFwAuZisI4u84OjoaU6ZMQWRkpPS7l58L8nPAYDDAzc0NOp1OWrgIZN335VVJtm/fjqZNm9rlWDMzMzF69GgcP35csXgNgHTOzZ49G6+88oris1HxIdpdmZmZCAkJwZkzZ6TFilOnTnVYPyc3FXOXL1+Obt26YcOGDfjiiy9w8+ZNxTVOHp5gBd0ni06nw9ixY3H06FE4OTlJv29xbvj5+aFp06Zo2LAhvL29odPpcP78eUREROD06dPS68ivX0ajEZUqVcJbb72Fdu3a2Xxu51RBV9ynnZycpP7Jli1b0LJlS14biYiIcnD16lUMHjwYCQkJisr0/fv3x7vvvgvAet87r3IK5pr2tR1VQZfBXCKSE//ub968id27d2Po0KHSRqzyfrAjKujassmgIJ+XArLGJOXvbRrmFUwDu+L/pmNiwOO5KLHpoJeXFxo1aoSWLVuifv36ir8vcjxrc+di/Nnb2xvz5s3Dc889JwVdzYXHhSNHjmDMmDGK8U0gK2BbpUoVbN26FZUqVcr18VqroCs2xxBfs4IuERE97aKiotC7d2+kpqYq5mqArH7rhAkTMGHCBACW1/Tkx7lz57Bw4UKEh4dna4PWqlULq1evhp+fn0PGB0wr6Io2tcFgQPfu3bFs2TK7vh/ZLiYmBkFBQbh3756ieIV8zGbgwIFYuHAhgMdz287OznY9hitXruC9997D0aNHFfNBAFChQgUsWbIEzZo1s0vfJKf+nugrGQwGdOvWDcuXL8/35yMiIiIiKm64GrAAtWzZEn379sWePXsAKKtlAJCqDhERmWOtYq5YbFsUgrkAULlyZfTp0wfXrl3DX3/9pZjQ1mg0SE1NxSeffIJOnTqhbNmyOb5eThV0xQAoFwgVHpVKhVdffRXu7u744osvFLvkicFhtVqNs2fP4rXXXsv1ruhy8kHt/fv3WwzmAkB8fDymTJmC27dv51itV6VSwdPTE9WqVYO3tzdefPFFlCtXDs8++yw8PDyyHadp6MLNzQ3dunXDjRs3kJqaCgBYtWoVOnXqlO24iYhyw54VdHMK5sonbsRiNQBwdXWVgj1paWmKiUd5EFNc88Xz5RNQ4v/i+yL4KZ7v7OyMe/fu4d69e3jmmWekYK74jOQ44p527do1DB8+HLGxsdI9Tl4xBHg80Vy5cmW88MILqFixIjw9PZGRkYHk5GScOXMG4eHhOH/+PJKSkqTzLTQ0FE2bNrXLvVCcK+PHj8eFCxfw4MGDbK/Zrl07BnOLMXEtyszMxCuvvIIzZ85I15eMjAwsXboUADB8+HC7VtCVt1fNBXPlm6+8//776NatGwCgX79+UKlU+Pzzz3Hz5k0AWQuPAbCC7hPGYDDgrbfekhY7iM0KxLkxdepUtGnTRlqQLfTs2RMAsG7dOhw8eBDnz5+X+kLi3IuJicHmzZvRrl07m89p0wq6gryCrsFgkBZ+ZGZmYvjw4QzoEhERWSHuj5cuXZLabWL+Tq/Xo2HDhmarMtpDTsFceUUSIGszDjFGbs8KumITEgZziUg+Pzlw4EA8evQIqampGD16NLy9vbNt6GfPCrq2jmXKr4eCPOQIQPqZ2HhAvsGWtc8uD0yKsTK9Xo+UlBQcO3YMAFCiRAmMHDkSAMcyC5ItwVwfHx989NFHivllAIrfkfxro9GINm3aYMWKFXjttdcUwWwxbp6cnIyEhIQ8hXOtVdCVV69nBV0iInraGY1G/Pnnn9LaG3MbRQv3799H6dKl7R7MTUtLw6+//opz584BULYndTodatasifLlywOw//gAkL2CrhjjZx+98KWmpkrzLqJoiXwjIJVKhXPnzuGPP/7A888/D2dnZ7uuGdPr9fj111+lqrmiDSnOzRo1akjzVPY4P6z194Csgiryc5Nr5IiIiIjoacPKuQXsyy+/xFtvvSUNrmdmZqJRo0bYsWMHXFxc2GEmIrPEtSEqKgqDBw/OVjFXTAQDhR/MlTtw4ABmz56N1NRUxQ6CYjBoxIgRmDp1qs27w5lW0N28eTN+/vlnAECfPn3w/vvvAyj8z/00cuSu6HKmwdypU6cCgPTvQU6+qEIcg/zfirzihTgnzVX79fPzQ7ly5dC0aVM0atQIvr6+qFOnjhREk7t48aIUJlu9ejU6duyY7biJiPLKtIKuvOKeLRV0c1rMJt/ow9fXF9WqVUPv3r1RqVIleHt7o0SJEkhOTsbt27eRmpqKf//9F1evXsXt27dx/vx5ODs7Iz09XXHM8kXMptVN5cFdeTUe+T2d10/HE/fwq1evIjg4GPHx8dLvTdwfXVxcUKVKFQwYMAAvvfQSypcvb7Wt9dtvv+HMmTPYuHEjfH19MXfuXDz//PN2Pe7bt29jypQp0k7V8nbAM888gx07dsDLy4vtwmJKr9dj+PDhOHnyJJydnRWVvUVAe9q0aXbr91iqmCsCl/Jz7P3330efPn2k49RoNEhISMDXX3+NnTt34tatW9LEu3wSnhV0nww//PADlixZgpiYGMVCB0DZ/geUv2P51z///DO2bt0qLZoQ54h4vTVr1qBNmza5Oi5bKugCUJzXDOgSERFZJ8Iy8qqL1apVQ1hYGEqUKGH397MlmCuqN1aqVAlxcXHIzMw0O+4O5K+CbkpKivSZueiX6OkmDz8OHToU9+7dAwD4+PigR48eGDt2LEqXLi09zp5zRTlVzJVf87y8vODr64sOHTqgevXqcHFxgVarRWZmJq5du4b4+HjcunUL//33H1JTU6XPIcgDk/KAr2k1XdH3km9M27t3byxevFh6PMcyC4atwdzNmzfjmWeeyfXrp6WlYfHixfjiiy8UG1GK83vkyJGYOXNmnn/nrKBLRESUs8TEROzbtw+LFy+W7p2i/Scf9x4xYgRCQ0Ph4+Njl/cV9/dDhw5h+vTpSE1NVWy0qdfrUb58eXz++eeoVKmSw9uAhw8fxrRp05CcnIy+ffti0aJFANhHL2wXL17ExIkTERUVpejjiH6DWq1GzZo1MWPGDLRt2xZA/vsL4nd++PBhTJ482ey56ePjg23btqFGjRp2P0dM+3tfffUVrl+/DgCKfhHPTSIiIiJ6GjGcW0DkHauRI0dKu6jKg7lcmElE1kRFRaF3795ITU1VBHOBrAnhCRMmYMKECQCQq8CjvcmveR9//DFWrVoFQFlBymg0omnTpli/fj08PDxsHoCSP+7vv//GsmXLULZsWaxYsQIAB3gcTf73n56eDhcXF0VQwpEBXWvBXLHA3FKlSPF8c48xXVwh/i8Wu5kGfjw9PVGzZk2ULVsW7du3h4+PD5o3bw53d3cAwJo1a1CrVi107tw523ETEeWXaUBXfm+1FtAVVXRsWczWs2dPDBgwAE2aNIFWq5Vew9q17PLly3j48CF+++03xMXF4Z9//kFcXBwePXokHZsIAJtW15UHc7not2CJv+Po6GgEBwcjNjY22yI2Ly8vvPLKK2jbti0aNmyY7bnyc8P0fn7ixAkkJCRIVeTtbd++fZg1axYA5T3cYDBg2LBhUsUoKn4uX76MN998E5GRkUhJSTF7rbNXQNdaMNc0fCkP5so3GVCpVHj48CG+/vprfP7554qArnh9BnSfDCIoAyhD2x999BFeeuklq8+Vn6P79u3D2rVrcePGjWxV5mfPni1V/84NWwK6KpUKTk5O0vm9efNmBnSJiIjMSE9Px+DBgxEZGSl9z2AwoE2bNli9ejWcnZ3tOvZuLZgrDwPpdDq0bt0a8+fPx969e7F+/XpFQNd04628BHTff/99fPfdd0hOTmYfnegpZy78KAKvRqMR5cuXR6dOnTBu3DhFYNAec0W52WTwpZdeQteuXdG2bVtpnsaS5ORkZGRk4K+//kJsbCyOHTuG6Oho3L9/H4mJidLj5JWhxGcCIG32yrHMwpXbYG5efzfff/89pk2bBiD72GP//v3x7rvv5utzWAvoio05xOdlQJeIiJ5WycnJCAsLw5IlS7Kt35F/PWLECIwcORJly5bN1/uJ9ujp06cxevRopKSkSO1Q+Vz8lClTMHTo0AJrA/7000/4/fffsXDhQgBsexYVFy5cwKRJkxQBXdM1dLVq1cL06dPzHdAV52Z4eDhCQ0Px6NGjbOemu7s7xowZg9DQUDg5OTlkrZq8v7d161Z8/PHHaN++PZYtW6b4ORERERHR04bh3AIkOlaiem7jxo2xbds2BnOJKEdGoxG7du3CW2+9BQDZwoLycO7gwYNRunTpQh/oEIMtCQkJmDZtGo4cOZJt4hJAnhYeyweqrl+/jmrVqinekxxD/ve+a9cu/Pvvv5g8eTK8vb0dHtC1NZgr3lteFVe8t6WfmQvnmr4nkBVck1d/FIvcxa7bL7zwAoYMGYLy5cubfQ0iInvIbUBXXtkxp8Vsw4YNwxtvvKHYmT+nxbvmrnVxcXFITEzEuXPn8PfffyM6OhqnTp0CAEV1XXnwjYvZCpb4O759+zbGjh2LixcvSueFCG75+Pjggw8+QNOmTeHq6grAtnubucdY+53mtT987949TJkyBadOnVK0Q4xGI/z9/fHBBx/Az8+P9+NiKiIiAuvWrcPRo0eRnp6uuNYBj88zZ2dnTJ8+XepP5PbakVPFXPnX5oK58mPJTUA3MDAQGzduBMCAbnFy4MABTJ48GYByV/5JkyZh3LhxNr2G/Nx57733sG3bNuncFvdDsbt4Xu6FOQV0RT+IFXSJiIisO3v2LAYOHAgAijbdlClTMHbsWLu+V24q5rZs2RJbtmwBAFy7dg27d+/Gli1bpICuTqfLtsFMXgK6b7zxBkqUKMFFv0RPMWvhR/mGAc7Ozti4cSNatGhh9vl5mSsSG8PaMpYZHByMmTNnwtnZWbpumo5Xiq8tzUFlZmbi0qVLiIyMxLVr13D06FE8evRIOl7ByclJ+lwcyyw8BRXMFfr164fz589Lc/FiPKB58+bYsGEDnJyc8rVhByvoEhER5cxSQNe0/5vfgK5oL0ZGRiI4OBjJycmKza5FW/TFF1/ElClTpLVqBY1tz6KlIAK64ty8cOEChg4davbc1Gg0CAwMxMyZM1GrVi2HfFZB3t87cuQI2rVrp/g+EREREdHTiC3hAiQ6VM899xw6dOjAYC4R2UylUqFr166YM2eONMgov26IgY3Vq1djw4YNiI+PL6xDlYhj8vT0RGBgIAAoJhPF1+fOnQOgDEjmRF5ZSAx2igEucgz5wODWrVvx5ptv4scff8Snn36K+Ph46Xci3018+PDhCAoKgp+fH4CsSWT5YyMiIjBp0iTcuXNHscDd0nubBnPFgLuoxCier9fr4erqCjc3N7i4uECr1UrVpnU6nRSuFeeM6Y6B5gZCxW6D4twT57CTkxMuXbqES5cuwd/fXwrmAsjVYCoRka2qVq2KhQsX4tlnn5UWhckXm6nVaiQnJ+Ott97Cvn37oNFokJiYmONitpEjR2LOnDmKa5e1e6u4DsofL66vPj4+qFmzJnr16oW3334bGzduxLfffovNmzcjNDQUPXr0QNmyZVGiRAnodDr06NGDi9kKmFqtRnx8PBYsWICLFy9K92GNRoPMzEyULVsWW7duRevWraVgLmDbvc3cY2wJ5u7atQupqak2fwYfHx8EBAQowulicec///yDo0eP2nzMVHSI36e/vz9effVVtG7dGi4uLoprHfD4nMrMzMTSpUulgIJ8E5Wc5BTMFSF1wHowF8g690qVKoUBAwZg8ODB8PX1zbbYWEyOHz16FKNGjZLeR77xEhU94pwMDw+HWq2W+h4qlQo+Pj5o1aqVza8l36hq/PjxqFmzpnRuiO8/ePAAgPV7sLXXF8cbGBiIkJAQaVGECPeoVCpkZmbC2dkZADB8+HAcP348V/9+iIiInnQJCQkAIN33xf3VxcUFQO7Gsq3JazBXr9ejevXqCAoKwvDhw6VxUnG88tedM2cOdu/eDSDnPr7BYICrqysWL17MYC7RU8xa+BGAdF0CgMmTJ2cL5orH2DJXJO+bT5o0CdHR0XBxcUF8fHy2sUwge3W0uXPnQqvVSv10c+OVpj+TEwHj+vXro1+/fpg2bRq2b9+OL7/8EqtWrcK8efMQGBiImjVrSsfOsczCU5DBXHHOlSxZUvqevE+v1Wrh4uKSr2AuoDyn16xZgxdeeEF6b3k/XWyy+MUXX+Crr74qEmsBiIiICoqHhwf69++PGTNmKNbMiTVCov+7efNmbNq0CXFxcbl+D3n4UQRznZ2dFfdlAPD19cXgwYMLLZgrPxYqGurUqYOVK1eiatWqUnvRdA3d5cuXsXTpUvz+++8AlHM5OTEXzDV3blaoUAHDhw93eDBXvKfo7zGYS0RERET0GCvnFjIGc4koNyztBghkn5DOz26A9iIWLKempqJfv364du1atgEod3d37N27F1WrVi3UYyXLTIO5ixYtkn7m4+ODHj16YOzYsShdurTdK+jmVDFXvhOmWq1G9erVERgYiGeffRb169eXwmdqtRrR0dG4ceMG7t69ixMnTiApKQnXr19XhCHE8Yiwm6XquuLP8n93q1evRseOHR3yOyAiMseWCrqenp6YOXMmtm/frqiMai6YO3PmTAD2nTgR13FzYbbbt28jKSkJERERGDBggN3fm6xLS0vDjh07sHHjRjx48EBxT/Xx8cH27dtRvXp1h/5O5P3hqVOnYv/+/QgKCsIbb7yhCASbI69UOnz4cERGRkrnmji3q1atirVr10oLKKl4ioiIwNq1a3Hs2LFsFXTFtc7JyQnTp0/H8OHDAeR8LbEWzBUbv9gazJXLbQXdNm3aYMOGDQA4PlTUJSYmonfv3rh9+7ZiQ4xu3bph+fLluX49o9GIlJQUhIaGIjw8XPGa7du3x7p16yw+z5YNB+SPO3LkCLZv366ooCs2HpKf66ygS0RElHUP3bt3L15//XWpjSjGDBcuXIiBAwfmusKJOXkN5pq2G6Ojo7Fr165sFXQB5djl8uXL0a1bN5v/Dky/JqKnQ07BXHllstdffz3Hfnhu54qaNGmC+fPnY/r06QU6lmltDFOMu4aHh+Pq1au4c+cOJkyYYLf3JtsUdMXcjIwMaLVaTJo0CQcPHpTOUXGeWOu750VuK+i+/PLLCAoKYgVdIiJ6qphbM2eurZjbNXOWwo+ma5K0Wi2WLFmCl156yZEfk4opR1TQtXRumvbPNBoNlixZIo37cDyHiIiIiKjgcdVfIePCSyLKDbEbIIBsAV2xG6BOp8PmzZsBoNADumIhkZubG3r37o2PPvpIGhgyGAzSYGZMTAyqVq3KwaEiyFIwVwz23bt3DwcOHEBKSgqmTp2KUqVKAci+KzoAadGFfELcdFd0eUBXpVJJjzMXzAWyKpo5OTlh5syZaNGiBerWrSsdv/y9/Pz80KZNm2zvGxMTg4iICERERODBgwe4cuWKNIAPQApTmFb2lR/HqlWrpGAuz2MiKiiigq65gK6Y8ElKSsLbb78ttRPMVZmQL2aTb5BgD+J6KF/YK/5coUIFVKxYEbVr1wbAxWwFRfyOL168iP3792cL5np7e2PNmjWoXr263c8HOdOF6Pv37wfwuL1gNBoxZ84cqwFdcU65ubmhWbNmiIyMlD6DOM/v37+P//77DzVr1nToZyHH8vf3x//+9z8AyBbQFdc6nU6HpUuXAnhcBVS0Ra0tDDYN5up0OunfQl6CuUD2CroApIAuAMVxaTQaHDlyBKNGjcKGDRsUu71T0ZOYmIiMjAzpXiquN/Xq1QOQ+3C1SqVCiRIlUKdOHYSHhwPIWkRRunRpi69neg5aOs/li8rbtGkjPe/w4cPS8ev1eqlKVGZmJoYPH86ALhERPfXEPTM5ORlAVtU80w387DH2ZymYK+7DtgRzAaBKlSoICgqCwWDAtm3bkJmZKd3r9Xo9XFxckJ6ejkOHDqFz587QaDRWj99ctUkiejpYCj/K52NyE8wFcj9XdObMGQQFBSEtLa1AxzJNxzBNf6ZWq9G0aVM0bdpU+j77TQWnoIO5wOPKuACQkJAAIKsNIN5PbDptrzlB+bjQmjVrFAFdEXAX7YPbt2/jyy+/hFqtxoABAxjQJSKiYsn0fm3L/dsRa+asBXMB5eY08+fPl4K5XBdEpkQFXRHQFee0uQq6ANC2bVuLGwQB1oO5poH0hQsXMphLRERERFTIOFtARFTMiMHGGTNmKCbqjEajNNgIAJs3b8amTZsQFxdXqMcrJsWbNWsGo9EoLXoHHg8kZWZm4s8//wTAxT5FjaVgrgjEqlQqODs7486dOzh9+jQMBoPi+aaLLoKCguDn5wcga5dn+YIzEdC9c+cONBqN9HqWKuaKr8VEdUhIiBTMFc+1FMgQk+j+/v7o0qWLVFVyx44d2LBhAxYtWoQXX3wRAQEB0mCpGODUaDSK0MaqVavQqVOnbH9nREQFQQR0n332Wanqt7j2yXdiFRtmAMpJREcGc80R137xtRwXszmeuI8Bj+/t58+fVwRzPT09MXv2bPj7+ysea2+WKkQ5OzsDAL766iu8++67SEtLy/G1XFxcMHDgQLi4uEgBdeDxef7o0SNs2LABaWlpDOYWcyKg27p1a7i4uCgqhsgDusuWLZOCC6ItKmctmGs6kZ3bYK5gGtAdPHgwfH19s1UDEv/Gjhw5gtDQUADKxcZUtFy6dAn3799X9CWAx2EYALm+xohzMykpSfqe+N03b94cTk5OSE5Oxm+//YbNmzfjww8/xNtvv40PP/wQhw4dwtmzZwFAsZDdlDgXASAwMBAhISFo164dgKx7vujniOvv8OHDcfz4cbP/foiIiJ4mov8s7rWiLSg2XZG3B/Lj3Xffxffffy8Fv0Q719ZgrlClShUMHjwYY8eOVYyrijkDAGjUqBGcnJw4dklEZlkL5qpUqjwFc4XczBWpVCqkp6dLY5mi71xYY5lAVn/P9NrPscyCURjBXDGGExsbi5iYGEV7QJyLIqhtz/uq/N/ZmjVr8MILLyjG9MU5KAK6X3zxBbZs2SJtKkJERFRciPt1bGwsfv31VwCQ1uXkxJ5r5nKqmGsafuzbty8Argsiy0RAt2rVqoo+jrmA7u+//w5AOZcj5BQaNz03+/XrB4DnJhERERFRYWI5DiKiYsjSboCi8k1Rq6BrNBpRv3591K1bFxcvXpS+Jzx48KCwDo0ssBbMFVVtRUDV29sbq1evhre3d7aBvrxU0J04cSI++ugjVKpUCd999x2mT58OwHLF3C1btkjhb/He1ibezf1MDGyWLl1aqq7bo0cPODk54d9//8WdO3dw/Phx/Pfff7h9+zZiYmIAACtXrmQwl4gKnaUKuqbhNfkCXwAYMWJEgS9mo8Ilzoe9e/fihx9+kM4JMVndtWtXtGrVSvFYe7MUzBWL20Q79quvvgKAHCvoGgwG1KlTBwMHDsTOnTsBPD7fDQYDnJyccOXKFXzzzTcICgrivbqYs6WCbmZmpsUKupaCuabtSyDvwVwhtxV0jx49qqigy2ty0ePs7KzoR4jFsfHx8QByf81Uq9V49OgRLl++LH1PpVLBx8cHMTExWLNmDfbt24dbt25lC2yr1Wq4urrihRdeQJcuXdCyZUt4eHiYPW/ku64HBgZK/XBW0CUiIjJP3DfFWLp88ysAuHjxol37Fc899xwOHz6MmzdvSiEj0TeyNZgrVK5cGQEBAdkq34p2i5eXl12OmYiePNbCj4Byo7/cBnMFW+eKTDm6Ym5ucEyp4BVGMBfI+l3/9ddfiI6Olr4n/itXrhxq1aqV7/cxx5YKumKzjZiYGKSmpsLDw8Mhx0JEROQI8vv7oEGD4OPjA51Oh06dOlmtIipnjzVzuamYu2DBAgwcOFBx/ESW5LeCLs9NIiIiIqLiia1xIqJiytxugGIiuqhV0FWpVHB3d0e5cuVgMBiknfvFgOqlS5cAINuiYyoc1oK58qpimZmZKF26NHbu3Inq1atLoV1Tua2ge/bsWUyfPh2fffaZ2WCuvGLu1q1b0axZM0UALS9MF3GIQVEAaNCgATp27Ii5c+fis88+w2effYZPPvkE27dvR+fOnbP9nRERFQZzFXTlu+mLCR2xKHf8+PGYNWsWAAZznyaiQuKxY8cUG6UYjUa4u7uja9eu8PHxcdj7WwvminNT3o61pYKuuF8/++yzUjtTnM86nQ6ZmZk4evQoAPM7D1PxYmsF3aVLlyoq6GZkZFismAsoF/vmN5gr5KaCrpOTE44cOSIFeXlNLnr0er2ikqwIzoiNpsQ1zBbidWJjY5GUlKSowhQXF4ewsDBs3LgRN27cAABpYyQR5jYajUhNTcV3332Hd999F3PnzsW9e/cUVfLk5Ne+Nm3aYNiwYaygS0REZIFo+4l+kXy8WqVS2b0yXceOHfHmm2/C19dXeu+8BHPFvd7NzU0x3go8breULFkSjRo1suuxE9GTIadgbn4q5pqyZa4IyKpaKvopwOOxTG4y+HQprGCucPXqVWzbtg0AFPdhg8GAgIAAh4VzxftZqqArxv71ej169+6NOXPmAMhe2ZmIiKgokt/fhw4digcPHuDq1avYsmULfvzxRwCQ1g7lxNqaOXk/2tyaOfFYW6qSLliwAEFBQYrjJ8pJXivoZmZm8twkIiIiIiqm2CInIirGzA02Ojk5SeGbohLQFQOn5cqVA5C94kB6erri+1R4bKmYKwb+RDC3WrVqOS6GyG1A9++//8bChQsBWA/miiCOvc8dUUlQfA1kLbivWLEi2rVrh+bNm2f7OyMiKkymAV29Xq+oKgk8vqZptVo0bNgQAKTH0NNBpVLhn3/+wTfffKPYfRcAhgwZIlXNdQRrwVz5JLtpO9aWgC4AdO3aFd26dQOQdc8W5/aPP/6IvXv3AmCVkydBXgK6Wq0W//zzT4EFcwVbArriccDjKqwZGRn5ek9yjDJlysDNzU1x3TIajfjxxx+RnJycq4Xh4ve+f/9+3L59O9s16/bt23j06JFUEUdcF8XiW/m5c/v2bRw4cAAvv/wyrl27ZvGebhrQDQkJMRvQzczMlAK6I0eOxLFjx9hOICKip47RaISnp6f0Z3lb8+TJk/jjjz/s9j7A43vzW2+9hapVq0Kv1+c6mAtkjb8fOXJEUZFFvIanp6c0Nk9EJBRExVxTtgZ0gaxKpWXLlkVoaCgAICMjg8Hcp4Clc1OEFRwdzE1LS8Phw4dx/fp1AFljjQaDAZUrV8bIkSOlPzuKtYCuwWBAr169sHjxYunPHPMkIqKizvT+fu/ePbi4uECv1+P06dPYsWMHfvjhBwC2rx2ztGYOMB/QvXv3LgwGA5ycnBAZGZkt/KhSqRh+JLvJTUD38OHDAB6vieO5SURERERUPLFVTkRUzOV2sLEwArpiQtDb21vxZ7FAyN3dHQDDuYUtp2CuacXczz//XKqYa8tiiNwEdIGsgKxOp1OEgh0dzLXE0mfkhDcRFSXmKuiKIJGQkZGBGTNm4JtvvpEq/3Fn/SefuL/+/PPPACBt6KLRaODj44P27dsDcEyVhZwq5oo2gLy6k/w5OQV0xTG3bdsWrq6u0vNEu0OlUuHIkSNITU3luf6EyE1ANywsDNeuXcMrr7wiBXPFxi/yhcb2DuYK1gK6oiJqZmYm/P398cMPP0Cr1bJSaRFUqVIluLm5SeeLuL/Gx8cjMjISQO6q50ZEROCnn34CkFWBR5wTarVa6uM4OTlJ10snJyfpOim/djo5OeHWrVsYMWIEIiIiLB6L/H4fGBhoNqALPL7+in9X06ZNQ3R0dK7/voiIiIozlUqFevXqoXHjxlK7TPSd1Go1rly5AiB3935L7yMP6M6cORM9e/bMdTAXyBq3/O+//xTHJr7foEEDuLu7s51JRJLCCOYKOc0ViT6QuEbGxcVhxIgRuHnzJrRabb6vv1S0mVbUMz03dTodvL29ERYWZvdgrrhPnj17Flu2bFFsxiX+X6dOHVSpUgUAsm2MaW+mAd0XX3wROp0OvXv3xgcffCAdM+fXiYioqLPU9hQbr6hUKpw8eRJr167FjRs3cvXauVkzt3nzZqhUKly4cAHBwcHZqpLK28AMP5I95CagGxERgVu3binOTXP9M56bRERERERFE1vmRERPAHODjfKFtYUd0BWVfq5duwZAGcSU44R64bEWzBUDfPKKuZ9//rlNFXNN5WZXdPE9AFJoobCCuURExYm5gK78vqtWq5GcnIwFCxbg+++/BwAGdJ8CarUa6enpOHLkCICsdpder0e1atUQEBAAwP6bTuQUzBUhNKPRCGdnZ2nRu0qlsjmgK465c+fOqFq1KnQ6nWIhp6huefHiRZ7rhcxaGEAefLCFrQHdt956Cz179swWzHVkxVxT5gK6lStXhl6vR2ZmJho1aoTt27fDxcVFOn+p6DAYDChVqpRUdV6+scW9e/fw+eefS9+35fzNzMzEH3/8kS3YI9+sSPwnKuYajUbodDrFNVKcp6La+J07dzBp0iRER0dDo9HYFNAdNmyYIqArwsDp6ekoW7YsevTowapURET01DEajcjIyED58uUBQNG3MBgM2LFjB+Lj4+1yj5Tfm1988UUsWbIEQO6CuUJ4eDhOnTqVbdMjANL4ANuZRARYr0oKODaYK9i6mavo3//zzz+YOnUq7ty5Y7G/Q08GtVqNmJgYBAUF4d69e9BqtVJ/WPDx8UGJEiUA2G+jQTFOGR0djblz5yI2Nlax+aVOp4OHhwcmTpyI0qVLS88zN98NZI1z5XdjDPn41ccff4zXX39dUTGX93YiIirqctoURt4v7tu3r9QmzA1LAV3TucbNmzdj9uzZGDJkCKuSUoGxJaB75coVzJgxAz169FCcm6KIBs9NIiIiIqKij61zIqInRFGuoKtWq6HRaPDw4UPpe2KQCXg8EAWwAmlhsSWYa1oxNy/BXCG3u6KLhehOTk7Ys2cPg7lERDawFNAFsu7BycnJeOuttxjQfQqI32tERASioqKkdqG4j4uqueK+by/WgrniXi4Wt7Vo0QJLly5FpUqVpI1mchPQ1ev1cHd3R2hoKNzc3KRFmgaDQWrHfPLJJ0hKSmKbs4DJFyGK0F9iYiIiIiJw6tQpREZG4tatW0hMTASQ1SewZfFiTgFdcQ6J80gezBVfOzqYK5gGdIcMGQI3Nzc888wz2LFjhxTMzW0IgxxPXKvatGkDIOtaKa6h33//PXbs2AHAep9WXIt/++03fPLJJ4pNtTQaDQwGA1xcXODl5YVhw4ZhxowZ2LhxI1atWoUFCxZg0KBB8PPzkxYli+uo2AxLBHTHjx8vBYbM3ddNq/TJA7o6nQ56vR6lS5dGnz59MGLECFSqVMkef41ERETFhkqlglarRZ8+faDVaqUNf0TfIjY2Ft98843dgmHm2g95aRNeunQJycnJ0rGKxcVeXl5o0qQJAPsFmIio+MopHCHGaQDHBXMFWwO64r0jIiIwadIkBnSfAr/++iuAx/fIjIwMxb1SrVbj4sWLGDFiBG7fvm2Xc0H0z+Pj4zF27FjcuHEDTk5O0Ov1ij73u+++Cx8fH5w6dQqfffYZ1q1bh7Vr12LTpk34/PPP8e233+K///7DtWvXkJSUJB2vnLhP54Z8vtaR/yaJiIjszdqmMGIjSnnbc8SIEQDy1ne1tajF3r178ejRI8X9lVVJydFsCehGRUUhNTVVmsNkaJyIiIiIqHjhij8ioieIGGwEgCVLlkgDjPIF6TqdDps3bwYAjBw5EmXLli2QYzt69CjCw8OlCVSxUB4AnnnmGQDZJyjJ8XIK5orBPnsFcwXTRRcAsGvXLty4cUOxyFzOz88P1apVA8CBRiIiW4iA7rx583D69GmpGqNYWCwP6AJA9+7dpUkghhefLOL3ef36daSnp0vfFwvX6tevDyBvC8AtsbVirk6nQ8uWLbFlyxbpmN5//33cuXNHWgQnb8d+9dVXAIA5c+bA1dVVej/RLqlbty5Kly6N1NRUaTJdtClOnz6N27dvw9PT026fkywT1xLRZgsPD8elS5fw5Zdf4sGDB7h16xaArI18fH190aZNG7Ro0QJt27ZV/H6tEQFdADh27BjS09PNtiX1er2ibQsUXDBXkAd0+/TpA29vb3Tr1k2qAsNgbtEkzo2OHTtiz549iIyMVCzW8fLywp07d5CZmQlnZ2eLr6NSqXDixAlMmjRJ2u1c9Kt0Oh0qVaqEkJAQPPfcc6hXr57Z10hOTsamTZtw7NgxhIeHS8/X6/XSYuGLFy9izZo1mDFjBlxcXCwei/hcbdq0kRa9//bbb/D09MTAgQMxaNAgBnOJiOipVq5cObi6uiIxMVHaSEPc/3/99VcEBQXB3d29SIxTxsTESH0qcazA436Zn58fGjZsCICbYxI97XKqmAtkjRWNGzdOmrvJ73yQNbbMFcmPXQR0V65ciQoVKjj02KjwvPzyy8jIyMAXX3yRbd5QfH327Fm89tpr+T4XxHhMQkIChg0bhqtXryqCuUKJEiWwa9cuzJs3D8nJyRYDtlqtFiqVCn5+fvDz80OVKlXw/PPPw8vLC/Xr11dU2hX9clvaEqZjRoXd9iAiIspJTpvCyEOH9toUxtKaOTF+Lr8Hi3Yvw49UUERAd9KkSYiKilK0ceXjNfJzU/TVeG4SERERERV9bKUTET1hLFXQNa08VlAVdMXE5cWLFxUT/GJhvLe3Nxo3buzQYyDzrAVzTcMLpUuXxs6dO+0SzBVsqaArf+yVK1cwZMgQxMTESMdIRETWsYIuyV29ehUApLahuNeXK1cu1xUbrMlrMNdoNOKFF17A3LlzUaFCBUUFXRE6A6xX0K1Tpw6GDh2qOA5xPrdo0QK1a9e22+cky+TtzJs3b2LNmjUYM2YMFixYgH///Rd37tyRzgPR3rx+/Tp27NiBWbNmYciQITh8+DBiY2MVr2mJtQq6gDKEIPokH3zwQYEGc+XHYjQa4e3tLVVjk5/fVPSIc6NChQqoV6+eospNQEAAQkND8eqrr1oN5gJAamoqvvvuO6kigOgL6XQ6VK9eHWvWrEFwcLAUzDWtpqPT6eDh4YHx48djypQp6Ny5MwDlQnmxiOjUqVOIjo4GYLkKtfx+HxgYiCFDhqB79+4ICgrCyy+/zGAuEREVa+bajrnt5zZs2FBa1CvGIcV45V9//YUVK1ZI3yusPrQ4rosXL+LBgwdSwAd4HNLVarXo27cv1Go1x1KJnnI5hSPkG+u6uLigVKlSuHv3LgA4PPzKCrokJyrVh4SEOPxckAdzhwwZgitXriiCueL91Go1EhIScPToUSQmJsJoNMLZ2VkaW3V2dpY2nzMYDEhPT8elS5fw008/YdOmTRg7diwGDRqEkJAQTJ06Fd988w3Cw8MtVtc1GAwcnyciomItp01hHBHMFSxV0BWbVwtinpzBXCpI1iroivNTtEMZzCUiIiIiKl5URo7qEhE9kZKTkxEWFpatgi6gHOgcMWKEwyvoRkZGIjg4GMnJydLEpBhkevbZZ7Ft2zbubF3AcqqYC0AaHLdnxVxzxOChXq/Hli1bpF3RgazFbWJg3GAwwN/fn7uiExHlUlRUlNkKugCke7KHhwfmz5+P7t27AyjYsBo5ntFoxMSJE/Hzzz9Lk3xqtRpeXl746aef4OHhYZf3yWswV15xMiMjA7///jveeecdRQVdAIpqlX379sXChQul9xPnbGRkJKZOnYqoqChp9+vevXtj8eLFADhx6Wji79dgMGD37t04cOAAjhw5AgDSuSACA/LrkGgPivaoj48Pnn/+eQwePBj+/v7S461dlyIiIrB27VqzFXTFc41GI3r06IGlS5cCQI7VTomArPMnOTkZgwYNwuXLl9GzZ08MHToUDRo0gLOzs03XlnPnzuGdd97BmTNnoNVqkZGRgWrVqmHbtm0oV66czccBAFeuXMGKFSvw008/AchazCv+fY0YMQKzZs3K1WveuHEDnp6e8Pb2zvF5RERERYmldqK8LWh6n7bWthT39cOHD2PWrFlISkqSNs4Q4Z/SpUtj9uzZ6NWrl/0/kA3kxx8SEoITJ05I7V/RtnZ3d8fOnTtRt27dQjlGIioacgrmAlnXS9Gf9/DwwMiRI9G/f3+UL1++QI+Tc0VPD/kYkrn/O/JcsCWYK7/Xmms3yMe15Muu5CFiEQaSfzbx+Bo1aqB69eqoU6cOnnvuOXh5efGeTURExZ61tqfRaHRoMFfO2po5+X3eaDRixowZCA0NBQC2K6lAXLhwQaqgK9q18jEsITg4GHPnzgWgnIMnIiIiIqKih6tRiYieUNYq6MorM23evBmbN292WAXdBw8e4KuvvkJaWpoiWGE0GlGyZEkEBwdLgV0qGDkFc1UqFTQaDTIzM+Ht7e3QYC7AXdGJiAqCuQq6YoKTFXSfDvJApPgz8HgiLz093S7vISpbANmDueKcMxfM1el0inCkVqtF27Zts1XQBSC1Y1UqFfbs2YMDBw5k+0x169ZFQEAAdDod9Ho9evXqxWBuAZEvnlyyZAnWrFkjBXNFFWN5fwDIutaIdp9oc967dw/fffcd5s2bhz///FPxWEtyqqArnvvjjz9K558IVRJZI9/IIjQ0FDNmzMCSJUsQEBAAZ2dns4Efcxo0aIDXXnsNnp6eyMjIQNWqVbFixQqUK1fOpn6N/HyuWbMmXnnlFTRt2hQApMXJ4np55MgRxMbG5ngvl/+78vPzYzCXiIiKHflYZ3x8PI4dO4YVK1ZgzJgxGDlyJEJCQhAaGopVq1bh+++/x/379wFYb1uK+3qbNm1Qv3596PV6xRgl8Hjce9++fQgPD3f8hzRDfOZPP/0UJ06cUIzbinbFyJEjGfIhesrlVLXM9DooAhPJycnYtGkT9uzZg9jY2AI5Vs4VPV3E7/HmzZtYvXo17t+/r9hkwpHngrVgLqCsJC3aBPLvia81Gk22EK88zAs8vifLA7miwi4AXL9+HYcOHcKaNWsQGhqK4OBgjBw5ElOnTsXGjRsL7N8eERGRveS0KUxBBXMB62vmTNvAqampiIuLU4yvEzmStQq6QFY79O+//8bvv/8OIGuelYiIiIiIiiauSCUieoKZG2wUO/TKd1TbtGkTNm3aZPeArsFgwKlTp/Drr79K4QgR/DQajShTpgzq1asHAAxJFBBbKuaK0ISbmxtWrlwpBXMd+TviogsiIsczDejKr+0M6D7ZRNtPLLyUV1dMSkrCrVu37PI+4nVnz56N77//HhqNRgpqiklEc8Fcc7v8arVaPP/885g3bx4qVaqkqOYi30ykQoUKiueJhfJjxoyBk5MTunfvjg8++ED6GducjiOuKTqdDjNmzMD27dsRExMDANJ5AED63YlzQnwtJ35XmZmZuHDhAmbNmoVjx45Jz7fGUkBX/Cded+nSpdJ5KNqiRNaI60fXrl2lXfTlCyVs1bJlS8yfPx9arRaDBw9G7dq1ASBPi34CAgLw/PPPK54vzuVr167hzp07Nh1bbo6fiIioqJD3VfV6PVavXo3Jkydj5MiRWLduHX7//XccP34cJ0+exJ9//ok1a9Zg2rRpePXVV/HGG28gNjZW6iOZIzaNmTVrFipVqiT1a4CsdsHRo0fx7bff4ubNm479sBacO3dOWqRpMBikvr1KpULFihXRvHnzQjkuIioarAVzRd8cyOoPiPEZsTFacnIyNmzYwIAu2Z383OzXrx8++eQTbNiwAfHx8YoQqyPOhZwq5soDwmK+VGyGJT9++c/k41w5jT0aDAZpbBN4/O9PvH9KSgqOHTuG/fv34+rVqwVWtZqIiMgecqqYq9FoCiyYK1haM2fat1+9ejU2bdqEe/fuOeQ4iMwxF9CV/1swGAyIjIzEkiVLpLEfrt0gIiIiIiq6uCqViKiAFNbgiKXdAAFlGMKeFXTli4FXr16NmJgYaQBJLNgHgNdeew3VqlXL9/uRbWypmCunUqlw/vx53Lp1y2xowt646IKIyPHMBXTlu/kzoPtkEou8XFxcAGQtIBPtwKSkJLu9V3x8PO7evQsPDw/o9XppQXtugrmCi4sLOnTogC5dukjfk7dntFotSpYsqXiOaHN6enpi/vz5WLZsmfSZGcx1HPF71ul0ePXVV7F//36pbSb/excLG8ViDLEg0dziR/G7VqlUuHv3Lj744AObq5JZq6Ar3kOn02HZsmXYunWrdGwM6JItXF1dpa9z20cS99Nu3bphzZo1aN++fZ6vTeI6Hhoaitq1ays2MRB9vP/++y9Pr01ERFTUifZdUlISfvjhB4wZMwarV6/GqVOnAECqhiP/T4TQzp07h927d+OVV17Bxo0bcePGDQDZx+/F4ytVqoS2bdsq+i7yajo7d+5EWFgY4uPjHf655ceZmZmJsLAwnDx5EgAUY6dGoxHt27fHc889VyDHRERFT04Vc+XhiGbNmgGAYoNfBnTJUeTn5tChQ5GYmAi9Xo9vv/0W69evx4MHDxS/X3ueCzlVzJV/7eHhgfr162P8+PFYunQpVq1ahXXr1mHlypWYNm0aRowYgc6dO6NKlSooXbo0DAYDDAaDIrArXtPc2IEY+xL/3uRjA71798a7774rPY6IiKioK0oVc01ZCugCWZvSAI/XzDmiqAWRNdYCuqItfOXKFSxdupQBXSIiIiKiIk5lZEudiMghxIBJRkYGtFqt9H15oKAgJScnIywsDEuWLJEmH8UEoXwgdMSIERg5ciTKli2bp/cRC/OTkpIwevRohIeHS5P5QFZwd8iQIZg1a5YUEiHHsjWYK35PYtK6RIkSGDVqFPr161dgOzSLfzt6vR5btmzBrl27pEVy8rCGGIj09/fHypUrUaFCBen8IyIi66KiojBv3jycPn1amoQU92gx8ePh4YH58+eje/fuAAqvDUP2M2vWLOzbt0+atBPtgPHjx2PixIl2u4/evHkTH374IX799VekpKRI75ObYC6Qdc6tWbMGq1evVgQ2AaBu3boICwuzqSIFg7mOIw/mjhgxAidPnlRcU0SbzWg0okSJEvDx8cELL7yA0qVLQ61W4/79+zhy5Aju3r2LhIQEAFA8H8gKIQYGBuL1119H9erVLR6P/ByJiIjA2rVrcezYMaSnp0ttSSDrWufk5ITp06cX6GIQIsA+91VxLV29ejVWr16t6N8ZjUYMGzYMc+bMsdMRExERFQ2ivRYXF4d169bh8OHDuHnzplSxTrQ9Te+z8s1fVCoV9Ho9PD090ahRI0yZMgWNGjWyeH+OiIjA+PHjERcXpwjuyMNtkydPxoABA+Dj4+Owzy4/vvXr12P58uUAlGEio9GIZs2aYe3atfD09GRfnugplFPVMnPhiCVLlmDjxo0AlPNG4jrn4eGBUaNGoW/fvpwrojwzd25qtVpkZmbCaDSifPny6NSpE8aNGwdvb+9sz8vPuZBTxVz5v4uXXnoJXbt2Rdu2beHu7m71MyUnJyMjIwN//fUXYmNjcezYMURHR+P+/ftITEyUHicPGovPBGRt+CE2sevVqxc++OADxecmIiIqynLaFKYwg7ly5tbMmbZ5gfyvmSPKiwsXLmDSpEmIiopSbGQsD+zWqlUL06dPR9u2bQFw7QYRERERUVHDcC4RkQOIgZGoqCgsW7YMLVq0QJ8+feDq6iotNC+MyTRHB3TFa2ZmZmLEiBE4deoUnJycpAVR4pbj7++PKVOmoFWrVnb/jJSdLcFcc4N2RX3RBZAVquCiCyKi3DMX0BWVdBnQfTJt2rQJH3zwQbY2QPv27bFu3Tq7vIc4R0RA9/fff0dSUhJatWqFzZs3A7AtmCteKy0tDWPGjMHJkyel4xWL2Vq1aoVNmzZJ36OCJ9pdmZmZCAkJwZkzZxTtf3k4onnz5ujTpw86duwILy8vxeukpKTgzz//xL59+3Dw4EEA5tt8np6eeO211xAcHGxzn8paQBd4fJ45Oztj2rRpDOhSsXX06FGEhoZK92jRlwoKCsKCBQsK+eiIiIjsR7TTbt++jblz5+Lvv/9Gamqqoh8rryBi7Wv5AseqVavivffeQ9OmTS32e3/++WdMmDABACyOq48dOxYDBgxAlSpVADiuD/3ZZ59h4cKFimMR71exYkVMnDgRffr0YZuW6ClkLRxhGjyQhyMyMjKwYsUKbNq0CYAyRCG+LqpzRQzoFg/WQuNigw2dTgdnZ2ds3LgRLVq0MPv8vJwL6enpcHFxsSmYGxwcjJkzZ8LZ2VnazEOEZ+UbHct/ZiozMxOXLl1CZGQkrl27hqNHj+LRo0fS8QpiDE18dgZziYiouMnLpjDy5xU0SwFdAHZZM0eUHwzoEhEREREVbxzNJSKyM3kwd+DAgfjxxx+xcOFCjB07Fu+++y5iYmKQnp6ueE5B7ZPg4eGB/v37Y8aMGdLAopg0lIckNm/ejE2bNiEuLs7m1xbPNxqNGDlyZLZgrljwVLJkSfTu3ZvB3AJiSzBX/N7FxLWYZNbr9XByckJycjI2bNiAPXv2IDY2tkCOW76D9PDhwxEUFAQ/Pz8AkBbZia/VajUiIiIwadIk3LlzRwqXERGRdVWrVsXChQvx7LPPSouRTBcyJScn46233sL3338PQLmYmYofMYks2gDiv5MnTyI8PNwu7yHOkcqVK2PKlCnw9/dH+/btcx3MFa8FQKoyIc49tVoNlUqFF154QfoMVPByE8zt3Lkz3nvvPfTu3RteXl7SAgfg8Tnh7u6OF198EStXrkRoaCgA5eIM8XpJSUnYvn077t27ly1ka4m/vz/+97//oXXr1nBxcVG0JYHH51NmZiaWLl0qVXYWx05UHBgMBvj4+MDZ2Vn6njjHRXUC3ruJiOhJINqH0dHRePXVV3H06FFFMBeAFO6Rb1ghaDQa6edA1rip0WjE9evX8eabb+LcuXNmK+4CQMeOHTFp0iQAUIyrizFUAPjkk0+wefNmRERESMeT33al6X1806ZNZoO5AODs7IzAwEB06NCBgR6ip5C1cAQAi8FcvV4PrVaLqVOnYuTIkQCyxm9EALEozxXJF6tzrqhoyuncFOFU4HEletNgrnhMXs6F6OhouLi4ID4+PlswF8gexJk7dy60Wq3UHhD3e3n7wPRnciJgXL9+ffTr1w/Tpk3D9u3b8eWXX2LVqlWYN28eAgMDUbNmTenYdTodevTowWAuEREVK4URzDXtH+e2rWduzZzoz8v79nlZM0eUX3Xq1MHKlStRtWrVbBvQibbw5cuXsXTpUvz+++8AuHaDiIiIiKgoYeVcIiI7Mjf46ObmhtTUVOkxFSpUQKtWrfDSSy+hbdu20qBjQU60WdoN0HTXbFt3A5QHc0NCQnDy5EmLC/NHjx6NadOmAeAObo5mLZgrdoMWO6aXLl0aL7zwAsLCwqTHmJ4T3BWdiOjJZFpB11y1StMKulwgVDzdvHkTISEhuHv3rqKyEgAsXLgQAwcOtNt7iXZIXFycIhRsazBX+PrrrzF37lxFm1Ec8yeffIJ27drZ7ZjJdjkFc8UCWKPRiF69euGdd96BVqu1+pry68qKFSukas4ajUYKNIh26YABA7BgwYJcXYesVdAV1zonJydMnz690HdvJ8qt+/fvo1u3bkhISACQtSBjwIABeOeddwr56IiIiPJPHswdPnw4bt26ZbadKPj4+AAAypcvj7i4OCQlJUlj9CKgKw/NijZsq1atMHv2bCkwY+rmzZtYv349du3aJb2vXq/PNq4eGBiI3r17o1evXvn63PLxzZs3b2LXrl1Yv349AGUwV7x3w4YNsXLlSlSqVClf70tExU9eK+aa9nv1ej2WLVuWrYIu54oor/IaGrc0JpPbc6FJkyaYP38+pk+fjosXL1qsmDty5EjMnDnT6nvnhnwTENO5cDEGHx4ejqtXr+LOnTuYMGGC3d6biIjI0QormCvuqREREahbty60Wm2eXtPcmjlz7QNW0KXCwAq6RERERETFE8O5RER2Ih98HDp0KO7du6eYXASyLxLq3LkzGjRogJCQEDg5OcHZ2bnABkwsBXSB7LsEWxtstCWYazQaYTAYEBQUhAULFgDgwJCj5VQxF4AimPv555+jWrVqWLx4sVTZjosuiIieHrYEdL28vPDmm29KAV0qnoYOHYrTp08rKknp9XpUqFABmzZtQo0aNRzyvrmdHBdtGdE2Efd58RqNGzfG1q1bcwx8kv2J9pVOp8OwYcOsBnP79u0rtUNtaf/L224LFy7EZ599BgCKa5LRaETz5s2xcePGXP/+GdClJ1V0dDT69euHR48eSX0jvV6PESNGYNasWYV9eERERPki2mNRUVEYOnQo4uLizAZTAaB58+bw9/fHoEGDoNVqUb58edy+fRsPHjzAnj178M8//yAiIkKqriefIjUajXB3d8eQIUPwv//9DyVKlDB7POfPn8eGDRuwf/9+6f1FQFfcgwHA29sbffv2xbhx4+Dq6io9Li9jld9++y0OHDiAQ4cOATAfzK1UqRI2bdqEatWq5fr1iah4s1cwV3hSAroBAQFYsWIFKlSowDnJQmLt3ASQ5+BObs8FV1dXpKWlWWw/yIO5BTGvaOk9OAZFRETFQWEHc/fu3Ys33ngDAwYMkCre5+X+ba81c0SOwIAuEREREVHxw5FdIiI7UavVuHnzJgYPHqwI5soX+IhFOqJi2MGDB/Hhhx9i6NChWL58OSIjI81WBXMEDw8P9O/fHzNmzJAGFsVx6fV66evNmzdj06ZNiIuLy/Ya1oK5YjBIBHP79OkjBXMNBgMHhBwot8HcnTt3olq1ajAYDJg2bRpGjhwJAGbPieTkZGzYsAF79uxBbGxsgXweMXmu0WgwfPhwBAUFwc/PD0DWuSQfgIyIiMCkSZNw584dadEbERFZV7VqVSxcuBDPPvusdC8X9xIxkZqQkIBp06YhPDy8cA+W8kRUherUqROcnJykSWpx/0xMTMTRo0elgKW95XbCXaVS4cKFC/j8888V3wMeH3OlSpXg7Oxs12OknMkr5poGc+ULI41GI/r37y+1Q0U/KCfytttrr72G1q1bA8jeLzp58iR+/fXXXB+/v78//ve//6F169ZwcXHJdq1Tq9XQ6XRYunQptmzZAiCrLUpUlF24cAFJSUnSAmTgcf+vcePGhXxkRERE+SNf9Dt48GCrwdyhQ4fizTffxPTp01GlShUpLFaxYkXUr18fM2bMwKpVq9C7d2/pnilvo6rVaqSkpODgwYOIiYkBALPjivXr18fLL7+MDh06SI8RY+Tyxcbx8fHYuHEjJkyYgC+++ALx8fHZFguLYzcYDNne68GDB7hy5QrGjx+P9957z2wwV7RfS5UqhU8//ZTBXKKnkOjLXr9+HcHBwYpwRF6CucDja2txnisSY5nh4eEYOnQoHj58yDnJQpBTaDw/wZ3czBuqVCqkp6dDpVJJY1aFGcwFIL2H6XgXg7lERFTUFYVg7uuvvw6DwYCDBw/igw8+QEZGRp7WBVlbMyf/2tqaOSJHqVOnDlauXImqVasq2rXyDWguX76MpUuX4vfffweAbJvQERERERFRweLoLhGRHe3duxfx8fFwdXVVVMiVL5AFHk/uqdVq6b/z589j8+bNGDhwIN5++23s3btX8bqOWgyen8HGzMxMq8FcjUYjLUjq1asX3n//femzcHLRcawFc8VgtGnF3OrVq0tVEp2cnLItuhCTxMVh0QUDukREeWcpoCsPpvXs2RMBAQGFe6CUJ6L91aJFC2kBmrxNlpKSgl27diE+Pl5arFZYxPl27Ngxqf0hvmc0GlGmTBm88sornGQsYPJgbkhIiNmKueLr/v37491331U8z1bise7u7mjTpo3ie2JxBwCpIkpuzwFbA7rLli1jQJeKPHH+37p1CwAUFftEUIeIiKi4srTo11wwd/z48Xj99dfxzDPPWOwniEq6ixcvxvDhwxVV9cTXGo0GUVFRWLx4sfQecuJ1n3vuOYSGhqJHjx4AlJtYivFZ8dw///wTixcvxssvv4wNGzbg999/x6NHjwBAatuq1Wrp8efPn8eBAwfw2muvYdSoUTh06BASEhKk45H31fR6PapWrYrPPvsMNWvWtMPfOhEVNyqVCg8fPsSIESMQFxcHV1dXZGZmZgsg5jYcYS6gK+b9TOeKdu/eXaTmisT4BAA0btyY/aJCYC24AyBf56Zg67yhKXloqDCCuXIMjRMRUXGS0/29oIK54r0ePnyIffv2YenSpVJAN7cY0KWijAFdIiIiIqLiRWVka5yIyG4SEhIwZMgQXLlyRTGhVrJkSeh0OqSnpyuCEGIgUT5JLgZQ2rdvj2bNmqFv374oU6aM9FqmO/rbQ3JyMsLCwrBkyRJpgNHcAOqIESMwcuRIeHt7S5Pbr7zySo7B3A8++AAAg7mOllPFXLETtTyYW61aNbMTznq9HsuWLcOmTZuk1zBd+Obh4YFRo0ahb9++UiUKR5NXZNuyZQt27dolBTPkC+nEvyN/f3+sXLkSFSpUKJSJdSKi4igqKgrz5s3D6dOnpYV3er0evXv3lhYo855evC1evBibN2/OViVKr9ejc+fOWLlyJYDC+T2L90xJScGQIUMQGRkpHadog9SsWRMbNmxAxYoVC/TYnmaiHaXT6bJVzJW3vfIbzDUVFxeHnj17KqrciHO1Q4cOWLt2ba7eQ95ejoiIwNq1a3Hs2DGkp6dLbUkA0iS3k5MTpk+fbpdFJESOEhMTgzFjxuDy5cuKkPzzzz+PTz75hOcsEREVS7kJ9UybNg2jR4+26XXlbcc333wTu3btyrbpn0qlQqlSpbB69Wo0adIk23i8/M+RkZHYtWsXdu7cCUA5hgoo25Xy/nXdunXh5eUFb29vlClTBhkZGYiJiUFKSgouXbqEpKQk6TXEWLt8LkFsWlO/fn0sWbJECiMR0dMpOTkZq1atwtdff41Hjx4pAgVA/sIR5uaKTKvyFqW5InEd1+v1ivlJR8ytknkFEcw19345zRuaGj9+PCZOnAigcIK5RERExYml+3tmZiaAgg/mirVp4n1feeUVzJ49O8+fL7dr5sqWLZvn9yLKrQsXLmDSpEmIiopSbDInH8uqVasWpk+fjrZt2wJg/4eIiIiIqDBwdRYRkZ0YDAaUKFEC7du3B6BcNFO1alWMGzcOQUFBqF69uqLylxgMEdV0xZ9/++03LF26FP3798fq1avx559/AoDi8faSm90AN27cKO26bRrMFSFjBnMLXk7BXPG1LcFcIHe7ohf1CrpTpkxBTEwMJ9aJiGwkKug2b95cWljcp08fBnOfIP7+/tBqtQCyKuqKybw//vgDn3zyifSzgt7PSxzPihUrEBkZqbh/izZNaGgog7kFSF4xtyCDuTqdDiVLlkTlypUBZO32LPpSIrCQm/eQT0TbWkF36dKlrKBLRZbRaMTRo0dx9+5dqR8k/k3UqVOH92siIiqWclr0Kw/1zJo1Swrm2tJ3kVeeXbBgAdq1a5ct+KrX63H//n2cPn0aQPaqdvIqJHXr1sXYsWOlqns6nU4xTiu+lm/YCQAXL17EX3/9hR9++AE7duzArl27cOTIEfz9999ITk4G8HgsV9zfTSv8VqxYET179sSHH37IYC4RwcPDA+PHj8ewYcPg4uICnU5nt3CEubkiUSm8qM0VVatWDQaDQdpkUD4/yYXpBaOgg7mAbfOGgphDLFu2LEJDQwEgz5X2iIiInhZFqWKus7Mz9Ho9DAYDtFotdDodtFotevXqla/PyAq6VJSxgi4RERERUfHAFVpERHaiVqvh5OSELl26KHbCB4CzZ8/izp07mDp1KtavX4/u3bujQoUKALIWrcsXm4uQrpOTE+7cuYN169Zh5MiRePPNN7Fnzx7FQnd7DabYOti4ZcsWfPTRRxg8eHC2YK5YIMRgbsETA9MbN240WzFXLGCzJZgrFKdFF5YCulqtFmfOnMH48eORnp7OwUciIhtVrVoV8+fPR40aNdC3b1+8//77AHhPf1J07doVnTp1ktpt8nZoamoq9u/fjx9//BFA4UzeHTt2TNqYRgQhRfu4efPmaNasWYEez9NMHswNCQlRBHPF9cARwVzg8e/cxcUFnp6eALL6PaLd++DBA8X388LWgO6yZcsY0CWHyOu5JJ4XFRWFzz//HImJiVI/SKfTwc/PL1dBJSIioqLCWjBXXqUReLzod8SIEdLzbA1eyQO6Q4YMgY+Pj2JjIjEOfvjwYTx69Mjs/Vr+XuXLl8fIkSPxySefwM/PD25ubooNMwQxpir6WCqVSurnyDftFMQxysfcjUYjAgICMGHCBMyaNQu+vr42fWYievKVLFkSI0eORGhoqDR2Z69whEajwdSpU4vFXFGJEiXQvXt3bjJYCAojmCvkNG8o7rPiXh8XF4cRI0bg5s2b0Gq1dt0Qm4iI6ElirY9uNBoLvGKueF9nZ2dkZGTAzc0NO3bsQIMGDfI9b2NtzZxo8wKPA7qbN29mQJcKlK0B3WXLlikCukREREREVHBURq7QIiKyGzFIuHjxYmzevFlaWCMm9d566y0MHjwYAPDnn3/i+PHj+PTTT6VF36I6nXwgRfwnXkOj0aBhw4bo06cPWrRogZo1a0rvb48JzOTkZISFhWHJkiXSMZnb8VAci1gYxIq5he/MmTPS+eXi4oKMjAwAuauYa45er8eyZcuwadMm6fXk56NOp4OHhwdGjRqFvn37onz58g74dNmJc0uv12PLli3YtWsXbty4AeDxRLwIkgDARx99hJdeeqlAjouI6Ely//59lClTBgDv6U8K8Xu8ePEipk2bhkuXLkmTc6INCgCBgYEYNWoUWrVqBUA5Ge5IDx48wAcffIA9e/ZIxyQmF41GIyZMmIAJEyY4/DgoK2Cr0+myVcw1GAxSm9ARwVy5gQMH4uzZs9KfRZiidu3aCAsLkzY1yi35OR0REYG1a9fi2LFjSE9PV4QzxL8LZ2dnTJs2TVpcYu/PSU8fcQ6mpqbi1q1bqFWrlvQzW86vpKQkvPrqqzh9+rSiP+7p6Ylx48ZhxIgRvHcTEVGxklPFXEcs+k1ISMCgQYNw7do1aTGj6H9UqlQJYWFhKF26tM2vFxkZiV9++QX79u3DjRs3pNeSj6dampaVh3bFn8W8AQCULVsWL774IsaNGwdvb+88tYGJ6MmXmJiINWvWwNfXF8OGDQNgvzE9c3NFYoPYojJXdOTIEbRr107xfXK83G6uYc9grrnjsDRvKMYXxT3f398fK1euRIUKFTjOQ0REZCI3ffRZs2YpNs9yRDBXzEeJY3B1dcX27dvRqFEju7YpbF0zN2zYMPzvf/+Dt7e3Xd6XyBYXLlzApEmTEBUVpSiiIuYyNRoNKleujHfeeQfNmzcv7MMlIiIiInqqcDaCiMiOxCBhkyZNpMUxYvENAGzYsAEnT54EALRq1QpTpkzBtm3bEBoaCl9fX+h0OmlBrfz58uq6APDPP//g/fffx6BBg7B69WocPnwYAKTBxvzsCJhTBV0RkBDvw2Bu0VGjRg2MGTMGJUqUQHp6OjQaTb6DuYD5Crrid17UdkUXO2Gr1WppUmDVqlUM5hIR5ZEI5orJHSr+xO/R19dXqhYqrxQq2ghHjx7FZ599hr///huAYyvoytuuO3fulIK5ov0rFs61bdtWCuZynzHHklfMNQ3mysMFjgrmir7F5cuXcevWLanCifw8bN68OZydnfMcSpCHzW2poJuZmYnly5dj27ZtAMAFm5RvKpUKmZmZWL9+PYKDg7Fs2TKcOHECQNb5JcYIgKzqeSkpKTh//jzGjh2rCOaKc7Z+/frSYnTeu4mIqLjIqdqeI4K5er0eXl5e6Ny5s2LMG3h8L05JSUFiYqJNryXu13Xr1sXo0aOxbds29OzZE/Xq1QOQdU8XfRz5WL+8rSsqUWo0GqlN6u7ujtGjR+O9997D22+/jXLlyjGYS0QWlSxZElOnTrV7MBcwP1dU1CroMphb8HK6h8s3mnBkMFe8l7UKuuJ+K947IiICkyZNwp07d6TN4IiIiOgxtVqNa9euISQkJNv9HYD09ezZsx0azBXvaxrM3bZtm92DuYD1NXPytXw//fQTrl69arf3JbKFpQq6AKRNalQqFWJiYti2JSIiIiIqYJy9JSJygM6dO6NDhw746aefAGQtoo2Li8Nff/2FZs2aQafTwdnZGc2aNUOTJk0wbNgwrF27FufPn8eZM2cUC4/0er0UWhADknq9HklJSVi9ejXc3NzQrl07dO3aFS1atFDs5p+XKmdisBGA2d0A5a/NYG7R4eXlhVGjRkGtVmPz5s1IT08HgHwFcwWx6AIANm3apDgnTBddACiwXdFNJ9oBICwsTBoEX716NTp27Aig4Cr+ERE9iXj9fPKUKFECw4cPx4kTJ/Dff/9J93VxX9Xr9fj5559hMBgwdOhQBAYGKhav2ZN4va1bt2LVqlUAkK2yVLVq1aSFpbynO5Y8mBsSEpKtYq6Y3DUajejbt69DKuaKxZIRERGIj4+Xvif/v6+vLwD7nQ8ioAsgWwVd0e/R6/V47733UKZMGXTv3j3f70lPN6PRiKNHj+KPP/7Aw4cP8emnn2Lfvn1o3749evXqhTp16sDT01Px+P/++w/79+/HoUOHcPXqVak/LhY7e3l5Yfz48ahRo0YhfjIiIqLcyananiOCuUDWZhienp5SsEx+TA8fPkRMTIy04NEa+c+dnJxQvnx5LF68GPfu3cPBgwfx+++/48yZM0hLS5PG0uUbDok2p1CqVClUrlwZvXv3RtOmTVGnTp1sf19ERJZotVrpa3tfLyzNFen1+kKfK7L2Z3KMnCrqAVlz5OPGjZPu4Y6sUmtu3lBU0JXfQ00DuqygS0RElMVoNCIjIwPBwcG4f/8+3NzckJqamm1jqxo1aqBp06bSn/M6V2OtYq4YDzAN5vr7+zusf2xuzZwICet0OlSvXh0DBgxA7dq17f7eRDkRAV1RQVf8OzAYDPDz88OgQYPwwgsvsE1LRERERFTAVEaWmyEisisx6HHgwAG89dZbSE5OlnYqMxgM8PHxwZdffglfX1/FAIlYTJuYmIiwsDD88MMPuHLlimJRuLxSlHwHffHnEiVKwMfHB6NGjUKdOnXg7+8vHVdeJhOTk5MRFhZmMaDLYG7RlJiYiK1bt+Ljjz+Gm5sb9uzZk69grpxer8eyZcuwadMmAFmD4aLig06ng4eHB0aNGlVgiy4AKIIin376Kb788kvMnj0bnTt3BsAQDxERkSUXLlzAkCFD8OjRI0VbT14tolWrVnj55ZfRpUsXAI5ZQLd161YsWrQIQPZgbokSJRAUFITx48fDw8PDru9L5ul0OgQHByM8PFwRzAWyqigPGjQIb7/9NgDHnBNXrlzBxIkTcfXq1WznRI0aNbBz506UKlXKru8JABEREVi7dq0ioAtkVXpp0KABdu7cCRcXF7u/Nz0dRN/l1q1bWLhwIX777Tepzw88Psc9PT3h6emJRo0aoUSJEkhLS0NcXJxiIy/TYC4ArF27Fh06dCi0z0ZERJRb1qrtGY1GhwVzgaw27GeffYZ33nlHGtsEHvdJNBoNvvzyS9StWzfPn0vIyMhAXFwcIiMjcerUKSQlJeHmzZtISUmBi4sL3N3doVar0bhxY1StWhX+/v6oXLlyvj4fEZEj6XQ6LF++XDFXJPrthTlXRAUnp3u4GD9SqVTQarWYNm0aunTpgnLlyhXo8en1emzZskUK6AJQbMYm5un9/f0Z0CUiIjLxxx9/YNy4ccjMzFRUzpUvN27Xrh2GDh2Ktm3bSj/Lzdqc3AZzt2/f7pCKueaINXNLly6VNh/x8/PD4MGD0b9/f8XmmkQF7cKFC5g0aRKio6OlYC7PTSIiIiKiwsNwLhGRg8THx+OVV17BpUuXpElpMSHds2dPzJ8/H+7u7tLjTQcor127hitXruCjjz5CXFwcHj58qAjpyhfHiwlO8fparRaenp7o3bs32rVrh+bNm+d5UNJSQJfB3KItISEBX3zxBbp06QI/Pz+7TiQXh4BudHQ0qlWrBoDBXCIiopzs378fc+bMQWpqqsWAbr169fDSSy/h1VdfBZC/Np/8uQkJCdixY4eiYq5oV4j7esuWLbF48WIu5CxA06ZNw/fffw+1Wq3oe4ghJE9PTyxduhTt2rWTvmfP9lZKSgo+++wzrFu3Do8ePZL6O+L86NOnD9588024ubk5pJ1nGtAVCz8aNWqEHTt2wMXFReobEeXV3Llz8fXXXwOAtPGWvMKPfGMsAIp/B3q9XvFv08XFBcuWLUPHjh0BsA9ERETFQ04Vc+X3Q3sHc+WvM3PmTHzzzTfSfVjcc93d3bF3715UrVo1z+8hH8s3PWa9Xi/93NK4LcNBRFSUmZsrYkD36WAtmCuI8SJxf/Xw8MDIkSPRv3//Qpk3ZECXiIgod8R99Pjx4xgxYgSMRqPUZweUc4jt2rVDSEgIAgMDAdg+Pm0tmCte28nJqVCCuUJycjJ2796N9957D2XLlsWoUaPQr18/hh+pSLhw4QJGjx4NNzc3BnOJiIiIiAoZw7lERA4gBgJ/+OEHzJo1CxkZGdKAotFoRK1atfD++++jYcOG2QYNTf8cFxeHU6dO4ZtvvsGvv/4qfd+0epQ8oGswGKRJzzJlyqBGjRoIDQ1FjRo1FIuJbB2wNA3oarVa6HQ6BnOLOPmks70nkIvqogvTc5CL0omIiHKWmZmJXbt2YenSpVJAV9zXRVsCANzc3NC+fXssXLgQJUqUyNM9Vn6v/uOPP/Ddd99h3759AMy3J/z8/LB+/Xr4+fnZ46OSjfbv34+1a9fi6tWr0Ov1igWLwOPzolq1apgwYQK6desGwD7tLvEaf//9N6ZPn46YmBjpvcU54ezsjM8//xwNGzbM9+e0JiIiAuvWrcPx48eRkpICf39/bN++ncFcsovLly+jR48e0p/l/8bk1YXEAmEgK5wrHq/X6+Hk5ARfX1+8+eabuV74REREVJgKO5grv18OGzYMJ0+eVIyv6/V6NGjQABs3boSXl5fd7q3W7tO8hxNRcWSugq65zVxDQ0PRr18/BnSfADndw+X9WgBFamNfBnSJiIhyx1JAV/TX5XOI7dq1w7Bhw9CmTRsAOfdxLQVz5e0KeTB327Zt8Pf3L5R1aUlJSfj555+RmJiIvn37omTJkgX6/kTWXLt2DWfOnEGnTp0YzCUiIiIiKkQM5xIROdDly5cxYcIEXL9+XQobiMtuUFAQFixYYPX5poOV3377Lc6cOYPPP/9ceh15iEFOHsrU6/UoWbIkSpcujZCQEDRt2hT16tWz+D7miIDu8uXLkZ6eDgAM5j7lzC26KAoBXSIiIsq9lJQUbN68GZ9++inS0tIUbVexOE38v3bt2nj55Zfx/PPP57jxi/x5on2ampqKZcuW4dSpU7h06RIA8+0Ib29vbN++HTVr1iy4v4innLxfcOjQISxfvhzXrl2Tfn+mlb/8/PwwefJkvPTSS9men1ui73Lz5k2MGTMGV69elTYeEu+p0Wgwffp0aRGIo8MLEREReP/992E0GrFlyxYGc8muTpw4gbVr1+L8+fNISEiQroPiWinf4AvIWuQu/l+2bFm0atUKQ4YMQUBAgPRYhnqIiKiok4d6hg4dinv37lmstueIYK7cV199hXnz5gFAtnvv8OHDpcXBRERkmaXNXI1Go9R/4VzRk8HWzTXEWGBRmTdkQJeIiCjvHBHQtVYxV7yuaGM4Kpgrfy1bxtUzMzNhNBqh1Wrt8v5E9sQ1m0REREREhY/hXCIiB1u3bh1WrFgBAFLlG71eDy8vL6xYsQKtWrXK8TVMJ/5OnjyJPXv24M8//8Tt27ezPd500FAsZhcqV66M5s2bY/DgwahSpQpKly4t/czagE1ycjJ2796N9957Dy+99BI++uijHJ9DT7aiWkGXiIiIci85ORk7d+7E2rVrpQq6otoJ8LhNqVKpoNfr4enpCU9PT4wZMwa1a9dG06ZNrU5e63Q6nDt3Dj/++CP++OMPKZQLQApgivcwGAyoUKECNm7cyGBuISiMgK4IHCYlJWHo0KG4ePGi1K4U76VSqdChQwdMmTIFzzzzjN0/tyWXLl1CtWrVpMUmDOZSfsn/jdy4cQMnT57E559/jnPnzikeZ7oxguDh4YEaNWrgtddeQ506deDj45PtdYmIiIq6mJgYBAUF4d69e9BqtcjIyACgrBQ/cOBALFy4EMDjRbDOzs52PYYrV67gvffew9GjR6UNLsW9tEKFCliyZAmaNWvGsW8iIhuYmysyV0GXc0XFl7VgLqAM07Ro0QInTpxQfL+wzwUGdImIiPLOUkBXbNCRm4BuUQjmyud67t69i3LlyrHvT0RERERERPnCcC4RkYOIgbtr165hypQpiIyMVOy+r1KpMHnyZIwdOzZPg3zJyclIT0/HqlWrsGfPHmkBk3h9OfG+YtJTLHKqUKECKlasiDFjxqBWrVqoUqVKtuM3lZiYiH/++QfPP/+81cfR04MBXSIioidHamoq9u3bhw8++AApKSmK+7og2pYiLObh4YGmTZuiSpUqeO6556DRaODq6gq1Wo2bN2/i/PnzuHz5Mk6ePCm9hkajkRa9ibapaMPWq1cPH374IapVq1YwH5qyKciArlgE8ejRIwwdOhSRkZHZzjuj0QhfX1/MmDEDXbp0sf8HNsP0M7DfQ46k0+nw/fff49KlSzh58iRiY2ORlpaGpKQklC5dGlqtFr6+vnj22Wfx3HPPoXnz5gyKExFRsXblyhUMGTIEKSkpyMzMVGxGITYFqlu3LqZMmSKNQ9tzIwq9Xo/Nmzdj5cqVyMjIyDZ+HhgYiFWrVsHd3d0u70dE9DRgQPfJZSmYq9PpFBWSgayq90uWLMHGjRsBFJ1zgQFdIiKivLNHQNdSMFe+4Yc8mLt9+3Y0atTIIcFco9GI0NBQPHr0CEuXLkWVKlU4D0RERERERER5xnAuEZGD6XQ6zJkzB/v27ZMWmYtBSU9PT3zxxRe5rggmnwB84403sHv3bulnYoJTTByKSmTici8WN8kDEBqNBs888ww6duyIHj16wNfXV1GJwNLCJw5MkmDroovQ0FD069ePiy6IiIiKMJ1Oh19//RVvvPEGkpKSAGS1IUUFUwBSm1Ze3UpO/n3xtWnoUrRZjUYjvL29ERAQgNmzZys2jaHCURABXUvBXHFOiHNMrVZj5syZGD58uM2vTVRcmC7wTUxMhE6nQ3p6Oh4+fAgvLy+4u7vD1dUVrq6uFp9HRERU3Fy8eBETJ05EVFSUIggj+g5qtRo1a9bEjBkz0LZtWwD5bweKtuvhw4cxefJkpKamSuPnou3p4+ODbdu2oUaNGhz/JiLKJZ1Oh+XLl3Mz1yeItYq58jlAICuYCwAZGRlYsWJFtnlD+dcM6BIRERUvlgK64h5vLaArr1ZrWjFXPMfJyalAKuYajUaEhITg5MmTcHNzw3PPPYc5c+YwoEtERERERER5xnAuEZEDicVC0dHRCA4ORmxsrCKYYDQa8eqrr2LcuHHSToI5kQ8Ezp49G3v27AHweJBTrVZLg57lypXD3bt3peeJRUam5JOmAFCrVi3UqFEDr776KsqXL48yZcpk+zxE5nBXdCIioifL1atX8dZbb+G///5DcnKy1F41bVPKF8+rVCppEl0e6JU/TzxWDEcYjUbUq1cPPXr0QO/eveHj41OwH5QscmRAN6eKufJ+ytixYzFlyhQA3CCInlzmqgfIz3fTf3dERERPggsXLmDSpEmKgK5pG7NWrVqYPn16vgO6IlATHh4uVccR7U/xfu7u7hgzZgxCQ0Ph5OTEey4RUR5wrujJkZeKuUDWPbeohrUZ0CUiIso7axV0gcf3eEsBXSB7MFe0JeQVcwsqmCveX6vVonXr1lJAl4iIiIiIiCi3GM4lIoJyQY+9J9WMRiMePXqEefPm4YcfflBMPIogwo4dO1CiRIkcFxbJBx7nzJmDsLAwAJB2FxSDlpMnT0aHDh2wc+dO/Prrr1JIVwR05ZVzTSufCV5eXmjQoAF69eqFJk2awM/Pz25/J/Tk4qILIiKiJ0tsbCx2796NX3/9FREREYqNZsQ93rQ6rmhfyoNm4udA1uI7Ed7t2LEjXn31VdSoUUNRFZKKBkcEdK0Fc00Xdw4fPlxaqMEFkERERERPnoII6Ip25IULFzB06FAkJydnG6fXaDQIDAzEzJkzUatWLYd8ViKipwXnioq/vFbMNQ3RFNVzgQFdIiKivMtNQLdt27YICQlBmzZt8O2332LGjBkAoHi8PJi7fft2NGrUqECCuUajUdpYWKvVok6dOli3bh28vb3t8r5ERERERET09GA4l4ieemJA7/79+1KVWEdMqh0+fBhjx44FkDWpJyb9xo0bh0mTJtl0nADwxhtvYPfu3QCyB3OnTZuG0aNHS887c+YMzp49i/Xr1+PRo0dITU1VhHTF/+VMq+nKJ1WJcmJuJ+yiMNFOREREeZORkYGUlBSsXLkSR44cQVRUlPQzjUajWDhvjpiEN90Mpnv37mjZsiUGDhzo8M9A+WPPgG5uKuYGBwdj7ty5ABjMJSIiInqSOTKgay6YK6r+AVmbVvr6+mLhwoVo3bq1Qz8rEdHToqiGMiln9grmCkX1XMhtQDcgIAArVqxAhQoVcr1RCBER0ZPGUkBXp9NJG2CJeZ9OnTqhSpUqiraA+JmTk1OhBHMNBoN0nAaDAQaDAX379sWiRYvs8r5ERERERET0dGE4l4ieamJALyoqCp07d0bnzp2xcuVKAPZf/K3X6zFr1ix899130iSe+H+rVq3w4YcfolSpUmYn82wN5k6fPh2jRo0C8DhEodVqpdeIiorCiRMnsHv3boSHh0vhCdMKAUBWyMJgMKB79+5YtmyZ3f4e6OlQVCfaiYiIKH/Onj2L//77D9u2bcODBw9w//59xc/FxLtKpYJarVZs+AIA1atXx7PPPosuXbrg2WefhZubGwDLi/eo6LBHQFev1zOYS0RERERmOSKgm1MwV7Q/NRoNlixZgm7dutn0ukREZBtzc0WmYwCcKypaxD3w+vXrGDZsGOLi4szeOwHbgrlCUT0XbAnoyo/R19cXYWFhKFWqVIEcHxERUVGWm4CuYKli7rZt2+Dv71+gwVxxrzcYDOjVqxc++OADABwTICIiIiIiotxjOJeInlryXX+Dg4MRFxcHAIqd8Oy9CHz79u149913FQOJIiS7aNEi9O3b1+JxAsCcOXMQFhYGwHow13SwUj5waDQa8fXXX+PMmTPYvXs3VCoVjEajNAkq3xVQPvjIwATlFgO6RERETw7TiejY2FgkJyfjwIEDuH37Nv788088evQIBoMBiYmJUKlUKFOmDJycnKRAbtWqVfHCCy9Aq9UqNpHhJHfxkZ+ArvieuWCu6I8wmEtERET0dLNnQNdaMNe0/fnee++hX79+Vl+PiIjyxtZQ5ujRo9GnTx/OFRUBDx8+RN++fXH79m24uroiLS0NABT3ztwEcwVb5w1DQ0PRr1+/IhPQFZttGwwGdOvWDcuXLy+Q4yIiIioI+e0DWwroigCufLMLsT4NUFbMLehgrsFgUBSt4No4IiIiIiIiyi+Gc4noqSSvmDtkyBDcu3cPrq6uSE9Ph9FodGhANzg4GKdOnZIGN8VkY0BAAJYuXYrKlStnO07A9oq51gYKTT/LH3/8gcOHD+PHH3+UwskCBx/JHorqTthERERkX0lJSQAet0/j4+OhVqtRrlw5AIBWq4Wzs7P0WLYti7e8BHQnTpyIbt26ITU1FYMHD2bFXCIiIiKyyB4BXUvB3MzMTEUACAAWLlyIgQMHmn0dIiKyD1tCmZ6enhg0aBBGjRoFLy+vQj7ip1tycjJWrVqFr7/+Go8ePco2L52XYK5QVDf2tRTQVavVUKlU0Ov1rKhHRETFnq1zLrmdm7FWQRcATJcni/u/q6srtm7disaNGzOYS0RERERERMUaw7lE9NS6ffs2OnXqBJ1OB61Wi8zMTGnnW0cEdMVrbNmyBcuXL4fBYJAmG41GI7y8vLBs2TK0adMGer0eKpUq3xVzbZGZmYm4uDhs2LAB//33H86cOYMePXpg6dKleX5NIjmdTofly5czoEtERPQEEgvRxES3OaIdzEVrT47cBnRr1KiBUaNGYdu2bTh//rzFirnDhg3DnDlzADCYS0RERPQ0y09A11owF1BW/VuwYAGCgoIAcByciMjRzM0V6XQ6aDQaaWxp4MCBWLhwYSEfKQFAYmIiNm3ahM2bNyM9PV36fn6CuUJxCeh+9dVXuH79OgCgd+/eWLx4seJxRERERZ2lebnY2Fjcvn0b6enp0Ol0KFGiBFxdXVG5cmV4eHjY/Dpy1iroyp8rlio7Ozvjyy+/RP369ZGZmanY5Dc/GMwlIiIiIiKiwsBwLhE9tf7991+MGzcOd+/elQbfxEIfRwV0ASAqKgovv/wyHjx4AI1Go5joa9y4MbZs2QI3Nzfp8Y4M5sqfp9PpkJaWhqNHj+Kll17K12sSmWIFXSIiIqInS24CuiqVCs7OzsjIyGAwl4iIiIhskpeArljQy2AuEVHRZDpXpNVqodPpYDAY0KdPH7z//vsAWJW0qEhMTMSWLVuwbt06GAwGuwRzBUth7aIU0N26dSs+/vhjtG/fHsuWLVP8nIiIqKiTt6fi4+Px77//4sCBAzh37hzu3LmDhISEbM+pVKkSypcvjxYtWqBly5Zo0KABSpYsafN7WgvoApCOx2g0okmTJpgzZw4aNmyY7XjzisFcIiIiIiIiKiwM5xLRU+2ff/7B3LlzcenSpQIJ6IrBxC1btmDp0qXSJCMAqNVqeHp6Yv78+VI41tHBXNPjkuPgI9mbrRPtY8aMQa9evVChQoVCPmIiIiIisiY3AV1AufCCwVwiIiIiyomtAd1p06ahXbt2AIDIyEgEBwcrgrny8UeAwVwiosJkOlcEgOGIIiwxMRFr1qyBr68vhg0bBsB+v6PiUEH3yJEjUhuD5yYRERUH8nkbo9GI9evX48iRIzh58qT0GNFX1mg00vo4vV6vmLcBgBYtWqBJkyYICQmBp6cntFptjvdDSwFdnU4nHZtYrty2bVuEhISgTZs22Y49t6wFc+XjCQzmEhERERERkSMwnEtET73w8HDMmzevwAK6APDXX39h0qRJSEhIkKrnistxUFAQFixYgLlz5+Lrr78G4NhgLlFBslRBVx7QUKvVGDduHEaPHg0XF5dCPmIiIiIisiangK4I5gJQbEyk1+sBAMHBwZg7dy4ABnOJiIiIKDtbAro1a9bEu+++izJlyqB3795SMFcs/mXFXCKiokWv12P58uXYuHEjunfvzqqkRVxGRga0Wi0A+/+OinpA19KfiYiIiiJxv0pOTsZff/2FL7/8Er///rsUiBXrcwBIa9TkYVkxh+Pk5CRtdGU0GtGoUSO0bt0agwcPtmmT/ZwCuhqNRjqOdu3aYdiwYfkK6LJiLhERERERERU2hnOJiGA+oCsG6BwV0F24cCE+++wzAI8HOMUCdZVKhcaNGyM8PBwAg7n05LE00S525wSAtWvXokOHDoV5mERERERkI1sq6MofJ/48atQoTJ8+HQCDuURERERkmS0B3SpVquDu3btITU1VjDMymEtEVDTpdDr8+OOP6N69OwBel59mljb2BVCoAV0iIqLiRLSl7t+/j02bNuHQoUO4fv26tB5NbKRqKZQrn7+Rb7QqLzZRoUIFLFiwAI0bN4aXl5f0eubCtAUV0GUwl4iIiIiIiIoChnOJiP5fQQV0xQDfqVOnMHPmTNy5c0cx4CmvLMVgLj2pTCfaXV1dkZaWBgBYvXo1OnbsWJiHR0RERES5ZEtAV764w8vLC0uXLsXzzz+fbVd2IiIiIiJTOQV05ZWATCvuAQzmEhEVZbwuk06nw/LlyxnQJSIiygPRlrpz5w7efvttnD59GklJSVCpVIo+M5A1D2MaxhX9bLE+Tv54EabV6XRwd3fHgAED0K1bNwQEBCje39JxOSqgy2AuERERERERFRUM5xIRyZgL6JoOQNqrgm5qairGjh2LEydOSAFgQLlLoXzxEIO59KQxnWgHgFWrVqFTp04AcrcbJhEREREVvpwCuvKNiNRqNapVq4YJEyagW7du2Z5PRERERGTKUkBXkC8qllfPZTCXiIio6GMFXSIiotwTfdybN2/itddew7lz5wBACuaKPrNarZbuq4Koqmv6ffk9WN7PFpthOTs7IyAgACEhIdL6noIO6FoL5srHCxjMJSIiIiIiooLAcC4RkYmCqKArr547fvx4JCQkKAZFAUiDmgCDufTk0uv1WLRoEXbs2IGVK1eic+fOABjMICIiIiqubKmgK3ZqV6vV8PPzw+TJk/HSSy9lez4RERERkSlzAV35JjAAFGPtDOYSEREVH+Yq6Op0OsWm1h4eHggNDUW/fv0Y0CUioqea6ONGR0dj5MiRiI6OVmxiZRq89fX1RbVq1dC+fXu4u7vD29sbarUasbGxuHTpEu7du4dDhw7BYDBI4Ve9Xi/1seVhWrVaDW9vb0yYMAGDBg1SHI+l4zQN6IoNtXIb0GUwl4iIiIiIiIoahnOJiMwoqAq6t2/fxowZM3Dq1CnFzoNAVgXd119/HcOHDwfAgUJ6Mul0Oly9ehW1a9cGwEAGERERUXHHgC4REREROZK1Crryac/g4GDMnTsXQNbiXSIiIiraLFXQlVfsYwVdIiJ62on5laioKAwbNgyxsbFmq84DQM2aNdG8eXNMnjwZzs7OKFGihMXXvXDhAsLDw/HVV1/h33//lb4vf20xvyPYsq7NWkDXtIKvtYCutWCuaeENBnOJiIiIiIiooDCcS0RkQUFU0AWAsLAwzJkzBwCk8K/YdbB9+/ZYt25dvl6fqDhhEIOIiIjoycCALhERERE5krUKuiqVCiqVCnXr1sXkyZPRtm1bAGxjEhERFRfmArrmKugyoEtERE8jMa9y48YNDBkyBPfv37cYzO3SpQt69+6Ntm3bSuvd5HM0QFZfWf49g8GANWvW4Pjx4zh16hQAZCs6IQ/pTpkyBWPHjlUcn6XjtrWCbkhICAIDA6Vj1Ov1OQZzWTGXiIiIiIiICgN7nUREFgQEBGDhwoV45plnoNfrpZ36xKCdSqXCnj17MHv2bADKQUJbiL0ROnXqhJYtW5p9zMOHDxEdHQ29Xs+BQnoqcHEcERER0ZNBLOQAgBdffBFTp05F9erVs21IJP5848YNrFixAj/++GO25xMRERERmapTpw5WrlyJqlWrKjZ9EQwGAyIjI7FkyRL8/vvvANjGJCIiKi40Gg2mTZuGkSNHAlBWyRPBnOTkZGzYsAF79uxBbGxsIR8xERFRwTAXzHV2djYbzA0JCcHMmTPRoUMHRTAXUK7NEV+L/4s1ahMmTMAbb7yBwYMHA3h8P5b3u0VVewD48MMPsXHjRgBQbJ4lJ77fsmVLbN68GSqVCpmZmXB2doZKpVIUrTh8+DC2bduGI0eOSMdmKZhrNBoZzCUiIiIiIqJCxZ4nEZEVAQEBeOedd1C7dm0poCtf6JOfgK4Y1CxZsiQaNGggfU8+ABoeHo5Tp05Bo9EwtEhERERERMUKA7pERERE5EjWArqijXnlyhUsXbqUAV0iIqJiRqPRYOrUqdkCugAY0CUioqeSpWCuvPKsCOZOnDgRr7/+OipVqiQ939aQqgi6AkD9+vUxb948vP766wCQbU2cuCcDwJIlS7Bt2zbpvcz1vS0FdJ2cnKR+vTygu337dhw+fFh6vrmKueK9GMwlIiIiIiKiwqIycgaaiChH//zzD+bNm4eLFy8qdtsTOwsajUb07dsXixYtAgDFbn7WGI1GqFQqJCQkIDg4GJcuXZJCuGLQtFq1ali/fj2qVq3q0M9IRERERETkCKLfAwCHDh3C8uXLce3aNcWiCXmYws/PD5MnT8ZLL72U7flERERERKYuXLiASZMmISoqStr8xbSNWatWLUyfPh1t27YFwDYmERFRcaHX67Fs2TJs2rQJAODk5ASdTgeVSiXNp3t4eGDUqFHo27cvypcvX8hHTEREZH/WgrnyeyIATJs2DaNHj7b7MezduxeLFi1CQkICAGUAV61WQ6/Xw9XVFW+//Tb69OkDwHLfW3ye48ePY8SIETAajdmCxiII/MILL2Dw4MH49NNPceLECUUwlxVziYiIiIiIqChgD5SIyAaNGzfGwoULFRV0xcBifiroil363dzcEBgYKD0XgPQ+Dx48QGRkpPQ9IiIiIiKi4oQVdImIiIjIkcxV0DVtY16+fJkVdImIiIohjUaDadOmZaugazQaWUGXiIieCrmpmPv6669LwVx79XkNBgMAoE+fPnj77bdRuXJlxfyO/BjT0tKwfv16/PHHHwBgcVMsSxV0nZ2dASiLYvzyyy+YPn06g7lERERERERUZLEXSkRkI0cGdLVaLXr06CENmIrBSVFVd9OmTdLAIhERERERUXHDgC4RERERORIDukRERE8uBnSJiOhpZSmYK8K4oqI88DiYO3z4cOl5loKxuSWvkNu1a1e88cYbir63qaioKHz99de4du1ajq9rKaCrUqkUAd3ExETp/RjMJSIiIiIioqKGPVEiolywFNAVg3t5DegajUY0bNgQwcHB0oIg8Z9Go8G5c+ewe/duR388IiIiIiIih2FAl4iIiIgciQFdIiKiJ5elgC4ABnSJiOiJlFPFXGvBXHsHVOV95xdeeAFTp05F+fLlpZ8BkPreOp0Ohw8fxuHDh6XjscRSQFfc48VzxRo6BnOJiIiIiIioKGJvlIgol8wFdMWOfXkN6IqBysaNG0tfiwFDvV6PzMxMnDx5Uno8FwsREREREVFxxIAuERERETkSA7pERERPLnMBXVFRzzSgu3fvXgZ0iYio2MqpYq5GoymwYK4g7zt37twZM2bMgFarlQKzAKQiFGlpafj4449x6dIlReVdc6xV0BXPE2vpGMwlIiIiIiKioog9UiKiPLBUQTc/AV0A6NatG1588UVpxz8gK6S7b98+HDhwAEDWoCMREREREVFxw4AuERERETkSA7pERERPLksBXaPRmC2gu2PHDiQkJBTyERMREeVOUaqYa0red+7evTtef/11AMr7scFggJOTE5KSkvDOO+/gwYMHOa5zsxbQFRjMJSIiIiIioqKKvVIiKjYMBkO+fm5vIqD7zDPPKAK6YtAvtwFdcfxdu3aFh4eHNHAoBi1VKhV+++03pKamFvhnJSIiIiIisqe8BHQ/+ugj7N+/X3o+EREREZElDOgSERE9uTQaDaZOnaoI6Do5OUkbYItA0MOHD+Hl5VXIR0tERGQ7a8FclUpVKBVzTYk+NgAMGTIEr776KoDsG2YAwNWrV3H69GnpGK2xFtAV1XcZzCUiIiIiIqKiiD1TIioWxGDatWvXsHr1anzxxRe4evUqYmJipMeIwTYxwFcQi2jMBXRVKlWeKuiK42/dujXKly+veA2DwQCj0Yiff/4Z0dHR0qAjERERERFRcZXbgO7Vq1exdetWXLx4sZCPnIiIiIiKAwZ0iYiInlxOTk7ZKuhqtVoYjUbodDr06dMHCxcuBFAw6waIiIjySx7MHTp0qBTM1el00oalhR3MFeTr1gYPHozOnTsDgLR2Dnjcv46Li8Pu3bul59jyuiKgu2XLFimgq9FoGMwlIiIiIiKiIktl5Cg0ERVxYjAtKioKAwcOREJCAgCgdOnSUKvVCAgIQKVKldCwYUM0bNgQpUuXhre3t+I1jEajtPjGEQNz4eHhmDdvHi5duiTtAmgwGKTBQaPRiL59+2LRokUAHg9GajQai5/1u+++w9y5c5GWliYNWordD7t06YL33nsP7u7udv8cREREREREBU301wDg0KFDWL58Oa5duyb1j8QGSF5eXggKCsKwYcNQrly5Qj5qIiIiIiouLly4gEmTJiEqKkoK5prOGdSqVQvTp09H27ZtASjbqERERFR06XQ6LF++HJs2bZK+x+AOEREVVzExMQgKCsK9e/eg1WqRkZEBQLmR1MCBA6UNKERl2cK2f/9+vP/++7h37x6ArD616IMvW7YMXbp0sfn1xP37xIkTGD58OAz/1979xmpd138cf53rug5GQPJnClM8WB52ZKstK7FW6Y1qWTY4piTgZrCGW1uIluVWUlvLBDNNtm54Q2d4x2K2ZVuzWWvDXDodKavY4YACGkGALThSHc51Xb8bv30vr4PnwAUi59/jcedwONf5Xp/r3Dhn12ef5/ddqw06d+fvOwAAAKOJOBcY1ZrvCrh8+fIcOnQokyZNatwJsPh6rVZLkrS3t2fGjBn58Ic/nNmzZ+eqq67KjBkzMnfu3EydOnXI6yet3Z3vZIYKdJvvwN9qoJsk27dvz+rVq7N79+5UKpXG602S973vfXnggQcyf/58m40AAMC4cKJAN/n/mzNdf/31Wbp0aS688MKRXCoAAGNQK4Hu/Pnz841vfKMR6AIAY0O1Ws19992Xhx56KNdcc01+/OMfJxHuADD27Ny5M8uXL8/Ro0dz7NixQWfi2tra0tbWlksvvTS33XZbPvnJTyYZPTeXuvXWW/Pkk08OGmRRBLo333xzvv71r5/S9Yq/408//XR+/etfu/EGAAAAo5Y4Fxi1msPcG2+8MQcPHkx7e3sjVC028YqNvGKybLNKpZJ6vZ6urq5ccMEF6ezszEc+8pFMnz4973//+wc9trjeiaLZk3nppZeydu3abN++/W1N0E2SBx98MPfff3+SDNpErdfrWbZsWb73ve+d1hoBAABGo+MD3Z/85Cfp7e1tTMxdtmxZLrjgghFeJQAAY9XJAt1yuZy5c+fmBz/4QS6//PKRXi4AcAoGBgby29/+Ntdcc00S4Q4AY1cx0KH5vWutVhs0ifaSSy7JN7/5zcbNpUYy0C3+5v7973/Pl7/85bz22muNtZRKpVSr1UyfPj2bNm3KRRdddFrXHu5zAAAAGA3EucCotnfv3nzpS1/KwYMHM2nSpPT39yd5M1Zt/hXWvAlZbDqWSqUMDAw0vpb8f7BbKpWyYMGCnHvuufnEJz6Rjo6OdHZ2Zu7cuRkYGEilUhm0jmJzr5XNzKEC3VOZoFs8x86dO3Prrbemt7e38b3t7e2pVquZMmVKNm7cmAULFrz9HzIAAMAo0fye66mnnsrDDz+cyy+/PDfccIOJuQAAvG1DBbqFWq2Wiy++OF/96lfzhS984bRv4gkAjCzhDgBj3cluLlUqldLZ2Znbb799VAS6SdLX15fvfve7+c1vfpNKpZJqtZp6vZ5KpZL29vY8+OCDWbhw4YivEwAAAM40cS4wqu3cuTPLly/P0aNHc+zYsUakWiii2+MnyzZrnq7bHMgef63p06eno6Mjc+fOzcc+9rHMmDEjl112WSZPnpx3v/vdg655sum6bzfQLdxxxx351a9+lXK53NhgrdVqWbRoUe65555T+2ECAACMAc3v8Xbu3Jlp06bl/PPPH+FVAQAwXgx1yLlWq2XevHlZtmxZrrvuukybNm2klwkAAMAENhYD3aeffjqrVq1KkrdMz73pppvy7W9/e8TXCAAAAGeaOBcY9bZv357Vq1e/5aBM8/Tc4+Pc4k64xeOKxxS/8orHN0/XLZfLqVarg577oosuyjnnnJMPfehDmT9/fjo7O/OBD3wg5XI5kydPHvTY5um6SbJ169bceeed6e3tbQS6tVot5XL5pIFuca1du3ZlxYoV2bdvX+N1L168OOvXrx/ytQMAAIwH3usAAPBOKg45v/rqq8JcAAAARqWxFOjW6/UcOHAgK1euzMsvvzxojbVaLZ///Odz3333nfV1AQAAwDtNnAuMCcNtNjbHtkP9OiuVSm/Z7Cs0B7vNoW/zpNviewttbW0577zzMmvWrHz84x/PeeedlyuuuCIzZszIzJkz097e3nhsrVbL1q1bs3bt2kagW0S5rQS6SXLkyJGsXbs2Tz75ZJIMmphbvCYAAAAAAODU9PT0ZNWqVZk8ebIwFwAAgFFpLAW6SfK1r30tv/vd7xpn8orzevPnz88vfvGLvOtd73JzVgAAAMYVcS4wZgy12Xj8BN0PfvCD6ejoyMyZM/OHP/whb7zxRg4ePDjoOpVKpTEpt5hm23yNQvNGYKlUSrVabXxvs2nTpuWcc85JV1dXOjs709HRkYULF+Y973lPZs+enW3btuXOO+/MX//610ERcauB7jPPPJOvfOUrg+4gKMwFAAAAAIC355VXXsmf//znfOYznxHmAgAAMCqNhUC3OO9211135dFHH33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      },
      "metadata": {},
      "output_type": "display_data"
@@ -460,8 +461,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:53.439778Z",
-     "start_time": "2023-06-26T20:57:53.287110Z"
+     "end_time": "2023-06-29T18:14:01.375333Z",
+     "start_time": "2023-06-29T18:13:56.999990Z"
     }
    }
   },
@@ -477,12 +478,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 1427,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:53.907813Z",
-     "start_time": "2023-06-26T20:57:53.664253Z"
+     "end_time": "2023-06-29T18:14:01.375910Z",
+     "start_time": "2023-06-29T18:14:00.330874Z"
     }
    },
    "outputs": [
@@ -490,7 +491,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 45,
+     "execution_count": 1427,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,102 +504,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 1433,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:53:57.471936Z",
-     "start_time": "2023-06-26T20:53:57.470309Z"
+     "end_time": "2023-06-29T18:23:08.440759Z",
+     "start_time": "2023-06-29T18:23:08.315126Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n1                                     Ribose C-source   \n2                                  Thiamine salvaging   \n3                         Nitrate as reduction target   \n4      3-Phenylpropionate as carbon and energy source   \n..                                                ...   \n60                             Fructose, Unknown Role   \n61                Generic Hexose-Phosphate Antiporter   \n62                 Gluconoride Transport + Catabolism   \n63  Putative Symport of NA+ and Ascorbate Cataboli...   \n64               Plant Cell Wall Component Catabolism   \n\n                                                Genes  \\\n0   {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                {EG10818, EG10815, EG10814, EG10816}   \n2            {EG11574, G6566, M007, EG11572, EG11573}   \n3   {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                           {M011, M010, M012, G6206}   \n..                                                ...   \n60                                   {G6428, EG11905}   \n61                                          {EG11054}   \n62                                 {EG11055, EG11658}   \n63                        {EG12281, EG12282, EG12283}   \n64                                          {EG11685}   \n\n                                                  Add  \\\n0                      {FUM[p], HYDROGEN-MOLECULE[p]}   \n1                                 {D-Ribopyranose[p]}   \n2                                       {THIAMINE[p]}   \n3                                        {NITRATE[p]}   \n4                             {3-PHENYLPROPIONATE[p]}   \n..                                                ...   \n60                                   {FRUCTOSE-6P[c]}   \n61  {D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...   \n62                                  {Glucuronides[p]}   \n63                                       {CPD-334[p]}   \n64                                     {CPD0-1202[c]}   \n\n                          Remove Demand Reactions Substrates  \n0   {OXYGEN-MOLECULE[p], GLC[p]}     {}     [nan]      [nan]  \n1                       {GLC[p]}     {}     [nan]      [nan]  \n2                             {}     {}     [nan]      [nan]  \n3           {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n4                       {GLC[p]}     {}     [nan]      [nan]  \n..                           ...    ...       ...        ...  \n60                            {}     {}     [nan]      [nan]  \n61                      {GLC[p]}     {}     [nan]      [nan]  \n62                            {}     {}     [nan]      [nan]  \n63                      {GLC[p]}     {}     [nan]      [nan]  \n64                            {}     {}     [nan]      [nan]  \n\n[65 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>60</th>\n      <td>Fructose, Unknown Role</td>\n      <td>{G6428, EG11905}</td>\n      <td>{FRUCTOSE-6P[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>61</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>{EG11054}</td>\n      <td>{D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>Gluconoride Transport + Catabolism</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Glucuronides[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{EG12281, EG12282, EG12283}</td>\n      <td>{CPD-334[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>{EG11685}</td>\n      <td>{CPD0-1202[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n<p>65 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 21,
+     "execution_count": 1433,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "condition_sets = {0: {\"Environment\": \"Hydrogen + fumarate, -O2, -Glc\",\n",
-    "                      \"Genes\": {\"EG10468\", \"EG10469\", \"EG10470\", \"EG11799\", \"EG11800\", \"EG11801\", \"G7554\"},\n",
-    "                      \"Add\": {\"FUM[p]\", 'HYDROGEN-MOLECULE[p]'},\n",
-    "                      \"Remove\": {\"GLC[p]\", \"OXYGEN-MOLECULE[p]\"},\n",
-    "                      },\n",
-    "                  \n",
-    "                  1: {\"Environment\": \"Ribose C-source\",\n",
-    "                      \"Genes\": {\"EG10814\", \"EG10815\", \"EG10816\", \"EG10818\"},\n",
-    "                      \"Add\": {\"D-Ribopyranose[p]\"},\n",
-    "                      \"Remove\": {\"GLC[p]\"},\n",
-    "                      },\n",
-    "                  \n",
-    "                  2: {\"Environment\": \"Thiamine salvaging\",\n",
-    "                      \"Genes\": {\"EG11574\", \"G6566\", \"M007\", \"EG11573\", \"EG11572\"},\n",
-    "                      \"Add\": {\"THIAMINE[p]\"},\n",
-    "                      \"Remove\": set(),\n",
-    "                      },\n",
-    "                  \n",
-    "                  3: {\"Environment\": \"Nitrate as reduction target\",\n",
-    "                      \"Genes\": {\"EG10638\", \"EG10639\", \"EG10640\", \"EG10644\", \"EG10647\", \"EG10648\"},\n",
-    "                      \"Add\": {\"NITRATE[p]\"},\n",
-    "                      \"Remove\": {\"OXYGEN-MOLECULE[p]\"},\n",
-    "                      },\n",
-    "                  \n",
-    "                  4: {\"Environment\": \"3-Phenylpropionate as carbon and energy source\",\n",
-    "                      \"Genes\": {\"M010\", \"M011\", \"M012\", \"G6206\"},\n",
-    "                      \"Add\": {\"3-PHENYLPROPIONATE[p]\"},\n",
-    "                      \"Remove\": {\"GLC[p]\"},\n",
-    "                      },\n",
-    "\n",
-    "                  5: {\"Environment\": \"Molybdenum cofactor synthesis\",\n",
-    "                      \"Genes\": {\"EG11595\", \"EG11666\", \"EG11597\", \"EG11598\", \"EG11829\", \"G7496\", \"EG10002\", \"EG10152\",\n",
-    "                                \"EG10153\", \"EG10154\"},\n",
-    "                      \"Add\": {\"CPD-3[p]\"},\n",
-    "                      \"Remove\": set(),\n",
-    "                      \"Demand\": {\"CPD-8123[c]\"},\n",
-    "                      },\n",
-    "\n",
-    "                  6: {\"Environment\": \"pre-Quenosine synthesis\",\n",
-    "                      \"Genes\": {\"G6245\", \"G7431\", \"G7452\"},\n",
-    "                      \"Add\": set(),\n",
-    "                      \"Remove\": set(),\n",
-    "                      \"Demand\": {\"7-AMINOMETHYL-7-DEAZAGUANINE[c]\"},\n",
-    "                      },\n",
-    "\n",
-    "\n",
-    "                  \n",
-    "                  # 5: {\"Genes\": set([\"EG10286\", \"EG10287\", \"EG10288\", \"EG10289\", \n",
-    "                  #                   \"EG10290\", \"EG10293\", \"EG10294\", \"EG10295\", \n",
-    "                  #                   \"EG10296\", \"EG10298\", \"EG10302\", \"EG10303\", \n",
-    "                  #                   \"EG10304\", \"EG10305\", \"EG10306\", \"G6414\"]), \n",
-    "                  #     \"Add\": set(),\n",
-    "                  #     \"Remove\": set(),\n",
-    "                  #     \"Environment\": \"Proper metal (iron) uptake\"}\n",
-    "                 }\n",
-    "\n",
-    "condition_df = pd.DataFrame(condition_sets).T\n",
+    "condition_df = pd.read_excel(\"notebooks/new_environments/new_genes.xlsx\")\n",
+    "condition_df[\"Genes\"] = condition_df[\"Genes\"].apply(lambda x: set(x.split(\", \") if x == x else set()))\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
     "condition_df[\"Reactions\"] = [[np.nan]] * len(condition_df)\n",
-    "condition_df[\"Demand\"] = condition_df[\"Demand\"].fillna(False)\n",
+    "condition_df[\"Substrates\"] = [[np.nan]] * len(condition_df)\n",
+    "\n",
     "condition_df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-06-26T20:53:59.237419Z",
-     "start_time": "2023-06-26T20:53:57.473678Z"
-    }
-   },
+   "execution_count": 1434,
    "outputs": [],
    "source": [
-    "for i in range(len(condition_df.index)):\n",
-    "    \n",
+    "length = len(condition_df.index)\n",
+    "\n",
+    "for i in range(length):\n",
     "    genes = condition_df.loc[i, \"Genes\"]\n",
     "    rxn_set = set()\n",
     "\n",
@@ -611,33 +555,63 @@
     "        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
     "        if type(o) is dict:\n",
     "            o = [o]\n",
-    "        \n",
+    "\n",
     "        for rxn in o:\n",
     "            if type(rxn) is not str: # no rxns\n",
     "                rxn_set.add(rxn['@frameid'])\n",
     "            else:\n",
     "                print(gene, rxn)\n",
-    "            \n",
-    "    condition_df.at[i, \"Reactions\"] = rxn_set"
-   ]
+    "\n",
+    "    condition_df.at[i, \"Reactions\"] = rxn_set\n",
+    "\n",
+    "    overall_list = []\n",
+    "    for reaction in rxn_set:\n",
+    "        compound_set = set()\n",
+    "        function = \"substrates-of-reaction\"\n",
+    "        name = reaction\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Compound']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for compound in o:\n",
+    "            if type(compound) is not str:\n",
+    "                compound_set.add(compound['@frameid'])\n",
+    "            else:\n",
+    "                print(reaction, compound)\n",
+    "\n",
+    "        overall_list.append(compound_set)\n",
+    "    condition_df.at[i, \"Substrates\"] = overall_list\n",
+    "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
+    "    # This is to create the control"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-29T18:23:37.045711Z",
+     "start_time": "2023-06-29T18:23:08.462304Z"
+    }
+   }
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 1435,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:53:59.246439Z",
-     "start_time": "2023-06-26T20:53:59.244345Z"
+     "end_time": "2023-06-29T18:23:37.142130Z",
+     "start_time": "2023-06-29T18:23:37.045514Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN-16420, RXN0-5256, RXN0-7399}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...  \n5  {RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...  \n6                  {RXN0-4022, RXN0-5507, RXN-12093}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN0-5507, RXN-12093}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                           Environment  \\\n0                       Hydrogen + fumarate, -O2, -Glc   \n1                                      Ribose C-source   \n2                                   Thiamine salvaging   \n3                          Nitrate as reduction target   \n4       3-Phenylpropionate as carbon and energy source   \n..                                                 ...   \n125                     Fructose, Unknown Role CONTROL   \n126        Generic Hexose-Phosphate Antiporter CONTROL   \n127         Gluconoride Transport + Catabolism CONTROL   \n128  Putative Symport of NA+ and Ascorbate Cataboli...   \n129       Plant Cell Wall Component Catabolism CONTROL   \n\n                                                 Genes  \\\n0    {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                 {EG10818, EG10815, EG10814, EG10816}   \n2             {EG11574, G6566, M007, EG11572, EG11573}   \n3    {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                            {M011, M010, M012, G6206}   \n..                                                 ...   \n125                                                 {}   \n126                                                 {}   \n127                                                 {}   \n128                                                 {}   \n129                                                 {}   \n\n                                Add                        Remove Demand  \\\n0    {FUM[p], HYDROGEN-MOLECULE[p]}  {OXYGEN-MOLECULE[p], GLC[p]}     {}   \n1               {D-Ribopyranose[p]}                      {GLC[p]}     {}   \n2                     {THIAMINE[p]}                            {}     {}   \n3                      {NITRATE[p]}          {OXYGEN-MOLECULE[p]}     {}   \n4           {3-PHENYLPROPIONATE[p]}                      {GLC[p]}     {}   \n..                              ...                           ...    ...   \n125                              {}                            {}     {}   \n126                              {}                            {}     {}   \n127                              {}                            {}     {}   \n128                              {}                            {}     {}   \n129                              {}                            {}     {}   \n\n                                             Reactions  \\\n0                    {RXN-16420, RXN0-5256, RXN0-7399}   \n1                            {ABC-28-RXN, RIBOKIN-RXN}   \n2    {ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...   \n3                    {RXN-15119, RXN0-3501, RXN0-7124}   \n4    {1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...   \n..                                                 ...   \n125                                         {RXN0-313}   \n126  {TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...   \n127                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n128                                   {TRANS-RXN0-235}   \n129                             {RXN-12402, RXN0-5001}   \n\n                                            Substrates  \n0    [{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...  \n1    [{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...  \n2    [{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...  \n3    [{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...  \n4    [{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...  \n..                                                 ...  \n125                                                 []  \n126                                                 []  \n127                                                 []  \n128                                                 []  \n129                                                 []  \n\n[130 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n      <td>[{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n      <td>[{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...</td>\n      <td>[{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN-15119, RXN0-3501, RXN0-7124}</td>\n      <td>[{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...</td>\n      <td>[{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>125</th>\n      <td>Fructose, Unknown Role CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-313}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>Generic Hexose-Phosphate Antiporter CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>Gluconoride Transport + Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>128</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-235}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>129</th>\n      <td>Plant Cell Wall Component Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN-12402, RXN0-5001}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n<p>130 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 23,
+     "execution_count": 1435,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -656,12 +630,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 1441,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:54:03.118366Z",
-     "start_time": "2023-06-26T20:53:59.256443Z"
+     "end_time": "2023-06-29T18:41:42.734067Z",
+     "start_time": "2023-06-29T18:36:08.617499Z"
     }
    },
    "outputs": [
@@ -669,18 +643,143 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "finished Hydrogen + fumarate, -O2, -Glc\n",
-      "finished Ribose C-source\n",
-      "finished Thiamine salvaging\n",
-      "finished Nitrate as reduction target\n",
-      "finished 3-Phenylpropionate as carbon and energy source\n",
-      "finished Molybdenum cofactor synthesis\n",
-      "finished pre-Quenosine synthesis\n"
+      "Finished Hydrogen + fumarate, -O2, -Glc\n",
+      "Finished Ribose C-source\n",
+      "Finished Thiamine salvaging\n",
+      "Finished Nitrate as reduction target\n",
+      "Finished 3-Phenylpropionate as carbon and energy source\n",
+      "Finished Molybdenum cofactor synthesis\n",
+      "Finished Pre-Quenosine synthesis\n",
+      "Finished Acetate Transport\n",
+      "Finished Adenine Transport\n",
+      "Finished Allantoin Purine Utilization Nitrogen Source\n",
+      "Finished Pts Rare Carbon\n",
+      "Finished Acetoacetate Transport\n",
+      "Finished Vitamin B Uptake\n",
+      "Finished Carnitine Metabolism\n",
+      "Finished Cellobiose Transport\n",
+      "Finished Citrate Transport, Anaerobic\n",
+      "Finished Cytosine Transport\n",
+      "Finished Curcumin Met, Unknown Further Path\n",
+      "Finished Cyanate + cyanide transport + Utilization\n",
+      "Finished Succinate + fumarate transport (Bidirectional?)\n",
+      "Finished D-Galactonate Metabolism (Carbon Source)\n",
+      "Finished Formate Transport\n",
+      "Finished Psicoselysine Transport (Carbon Source)\n",
+      "Finished Fructose Transport (PTS)\n",
+      "Finished Fructose Metabolism\n",
+      "Finished Galactarate Metabolism\n",
+      "Finished Glycol Metabolism, Glyoxylate shuttle\n",
+      "Finished Phosphate Util, Glycerol-phosphate Uptake\n",
+      "Finished Glutamate Transport\n",
+      "Finished Gluconate Transport\n",
+      "Finished Putative Sugar Transport\n",
+      "Finished 3-phenylpropanoate Metabolism\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family)\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family)\n",
+      "Finished Idonate + gluconate Transport\n",
+      "Finished KDG transport\n",
+      "Finished Alpha-KG Transport\n",
+      "Finished L-Galactonate Metabolism\n",
+      "Finished Maltose Transport\n",
+      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose)\n",
+      "Finished Melibiose Transport + Metabolism\n",
+      "Finished Galactose Active Transport\n",
+      "Finished S-methylmethionine transport\n",
+      "Finished Mannitol PTS Transport\n",
+      "Finished Putative Nitrite Reduction\n",
+      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction\n",
+      "Finished Pantothenate (vit b5, CoA moeity) Transport\n",
+      "Finished Phosphonate (P source) Metabolism\n",
+      "Finished Nicotinamide Riboside Transport\n",
+      "Finished Pseudouridine Metabolism (Urine Growth)\n",
+      "Finished General PTS protein required for carbon source transport\n",
+      "Finished Alternative Pyridimine to Nitrogen Source Metabolism\n",
+      "Finished Shikimate Transport\n",
+      "Finished Sorbitol Transport\n",
+      "Finished Taurine ABC Transport\n",
+      "Finished Trehalose Metabolism + Transport\n",
+      "Finished Tartrate Anaerobic Transport\n",
+      "Finished Ascorbate + vit C PTS Transport + Catabolism\n",
+      "Finished Glycine Betaine Transport\n",
+      "Finished Galactofuranose Transport\n",
+      "Finished Fructose, Unknown Role\n",
+      "Finished Generic Hexose-Phosphate Antiporter\n",
+      "Finished Gluconoride Transport + Catabolism\n",
+      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate\n",
+      "Finished Plant Cell Wall Component Catabolism\n",
+      "Finished Hydrogen + fumarate, -O2, -Glc CONTROL\n",
+      "Finished Ribose C-source CONTROL\n",
+      "Finished Thiamine salvaging CONTROL\n",
+      "Finished Nitrate as reduction target CONTROL\n",
+      "Finished 3-Phenylpropionate as carbon and energy source CONTROL\n",
+      "Finished Molybdenum cofactor synthesis CONTROL\n",
+      "Finished Pre-Quenosine synthesis CONTROL\n",
+      "Finished Acetate Transport CONTROL\n",
+      "Finished Adenine Transport CONTROL\n",
+      "Finished Allantoin Purine Utilization Nitrogen Source CONTROL\n",
+      "Finished Pts Rare Carbon CONTROL\n",
+      "Finished Acetoacetate Transport CONTROL\n",
+      "Finished Vitamin B Uptake CONTROL\n",
+      "Finished Carnitine Metabolism CONTROL\n",
+      "Finished Cellobiose Transport CONTROL\n",
+      "Finished Citrate Transport, Anaerobic CONTROL\n",
+      "Finished Cytosine Transport CONTROL\n",
+      "Finished Curcumin Met, Unknown Further Path CONTROL\n",
+      "Finished Cyanate + cyanide transport + Utilization CONTROL\n",
+      "Finished Succinate + fumarate transport (Bidirectional?) CONTROL\n",
+      "Finished D-Galactonate Metabolism (Carbon Source) CONTROL\n",
+      "Finished Formate Transport CONTROL\n",
+      "Finished Psicoselysine Transport (Carbon Source) CONTROL\n",
+      "Finished Fructose Transport (PTS) CONTROL\n",
+      "Finished Fructose Metabolism CONTROL\n",
+      "Finished Galactarate Metabolism CONTROL\n",
+      "Finished Glycol Metabolism, Glyoxylate shuttle CONTROL\n",
+      "Finished Phosphate Util, Glycerol-phosphate Uptake CONTROL\n",
+      "Finished Glutamate Transport CONTROL\n",
+      "Finished Gluconate Transport CONTROL\n",
+      "Finished Putative Sugar Transport CONTROL\n",
+      "Finished 3-phenylpropanoate Metabolism CONTROL\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family) CONTROL\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family) CONTROL\n",
+      "Finished Idonate + gluconate Transport CONTROL\n",
+      "Finished KDG transport CONTROL\n",
+      "Finished Alpha-KG Transport CONTROL\n",
+      "Finished L-Galactonate Metabolism CONTROL\n",
+      "Finished Maltose Transport CONTROL\n",
+      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose) CONTROL\n",
+      "Finished Melibiose Transport + Metabolism CONTROL\n",
+      "Finished Galactose Active Transport CONTROL\n",
+      "Finished S-methylmethionine transport CONTROL\n",
+      "Finished Mannitol PTS Transport CONTROL\n",
+      "Finished Putative Nitrite Reduction CONTROL\n",
+      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction CONTROL\n",
+      "Finished Pantothenate (vit b5, CoA moeity) Transport CONTROL\n",
+      "Finished Phosphonate (P source) Metabolism CONTROL\n",
+      "Finished Nicotinamide Riboside Transport CONTROL\n",
+      "Finished Pseudouridine Metabolism (Urine Growth) CONTROL\n",
+      "Finished General PTS protein required for carbon source transport CONTROL\n",
+      "Finished Alternative Pyridimine to Nitrogen Source Metabolism CONTROL\n",
+      "Finished Shikimate Transport CONTROL\n",
+      "Finished Sorbitol Transport CONTROL\n",
+      "Finished Taurine ABC Transport CONTROL\n",
+      "Finished Trehalose Metabolism + Transport CONTROL\n",
+      "Finished Tartrate Anaerobic Transport CONTROL\n",
+      "Finished Ascorbate + vit C PTS Transport + Catabolism CONTROL\n",
+      "Finished Glycine Betaine Transport CONTROL\n",
+      "Finished Galactofuranose Transport CONTROL\n",
+      "Finished Fructose, Unknown Role CONTROL\n",
+      "Finished Generic Hexose-Phosphate Antiporter CONTROL\n",
+      "Finished Gluconoride Transport + Catabolism CONTROL\n",
+      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate CONTROL\n",
+      "Finished Plant Cell Wall Component Catabolism CONTROL\n"
      ]
     }
    ],
    "source": [
     "results_df = pd.DataFrame(columns=[\"Environment\", \"Reaction\", \"Flux\"])\n",
+    "zero_df = pd.DataFrame()\n",
+    "all_flux = []\n",
     "\n",
     "for i in range(len(condition_df)):\n",
     "    condition_idx = i\n",
@@ -689,7 +788,7 @@
     "\n",
     "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
     "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
-    "    if new_demand:\n",
+    "    if new_demand != set():\n",
     "        for met in new_demand:\n",
     "            homeostatic[met] = 100\n",
     "\n",
@@ -725,75 +824,140 @@
     "    fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names)\n",
     "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
     "    fluxes.columns = [\"Flux\"]\n",
-    "\n",
-    "    relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
-    "    relevant_rxn_idx = []\n",
-    "\n",
-    "    for rxn in relevant_rxns:\n",
-    "        relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
-    "\n",
-    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
+    "    all_flux.append(fluxes)\n",
+    "\n",
+    "    if condition_df.at[condition_idx, \"Environment\"][-7:] == \"CONTROL\":\n",
+    "        control_df = pd.DataFrame()\n",
+    "        flux_threshold = 1000\n",
+    "        for j, k in enumerate(fluxes.index):\n",
+    "            if abs(fluxes[k] - all_flux[condition_idx - length][k]) >= flux_threshold:\n",
+    "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          fluxes.index[j],\n",
+    "                          fluxes[k] - all_flux[condition_idx - length][k]]], columns=[\"Environment\", \"Reaction\", \"Control - Experiment Flux Difference\"]))\n",
+    "\n",
+    "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
+    "    else:\n",
+    "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
+    "        relevant_rxn_idx = []\n",
+    "\n",
+    "        for rxn in relevant_rxns:\n",
+    "            relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
+    "\n",
+    "        relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
     "    \n",
-    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
-    "    \n",
-    "    for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
-    "        results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "        relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
+    "        zero_fluxes = relevant_fluxes[relevant_fluxes == 0]\n",
+    "\n",
+    "        for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
+    "            results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
     "                          relevant_nonzero_fluxes.index[j],\n",
     "                          relevant_nonzero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
     "\n",
-    "    print(f\"\"\"finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")"
+    "        for j, k in enumerate(zero_fluxes.index):\n",
+    "            zero_df = zero_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          zero_fluxes.index[j],\n",
+    "                          zero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
+    "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 1442,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:54:03.125618Z",
-     "start_time": "2023-06-26T20:54:03.123865Z"
+     "end_time": "2023-06-29T18:41:42.805390Z",
+     "start_time": "2023-06-29T18:41:42.748458Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n0                         pre-Quenosine synthesis             RXN-12093   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                  Thiamine salvaging   \n..                                                ...   \n0                 Generic Hexose-Phosphate Antiporter   \n0                 Generic Hexose-Phosphate Antiporter   \n0   Putative Symport of NA+ and Ascorbate Cataboli...   \n0                Plant Cell Wall Component Catabolism   \n0                Plant Cell Wall Component Catabolism   \n\n                                             Reaction          Flux  log(Flux)  \n0   RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...  2.073151e+07   7.316631  \n0   ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...  1.352359e+06   6.131092  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...  8.324587e+05   5.920363  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...  5.199004e+05   5.715920  \n0                                          ABC-32-RXN  2.900000e+01   1.462398  \n..                                                ...           ...        ...  \n0   TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...  2.748300e+04   4.439064  \n0                                      TRANS-RXN0-502  1.007656e+06   6.003312  \n0                                      TRANS-RXN0-235  1.530495e+06   6.184832  \n0                                           RXN-12402  3.080000e+02   2.488551  \n0           RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.  1.563130e+05   5.193995  \n\n[87 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...</td>\n      <td>2.748300e+04</td>\n      <td>4.439064</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN0-502</td>\n      <td>1.007656e+06</td>\n      <td>6.003312</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>TRANS-RXN0-235</td>\n      <td>1.530495e+06</td>\n      <td>6.184832</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402</td>\n      <td>3.080000e+02</td>\n      <td>2.488551</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.</td>\n      <td>1.563130e+05</td>\n      <td>5.193995</td>\n    </tr>\n  </tbody>\n</table>\n<p>87 rows × 4 columns</p>\n</div>"
      },
-     "execution_count": 25,
+     "execution_count": 1442,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
+    "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
     "results_df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 1443,
+   "outputs": [],
+   "source": [
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
+    "# g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
+    "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-29T18:41:42.821187Z",
+     "start_time": "2023-06-29T18:41:42.813034Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1444,
+   "outputs": [],
+   "source": [
+    "import textwrap\n",
+    "\n",
+    "def wrap_x_labels(ax, width, break_long_words=False):\n",
+    "    labels = []\n",
+    "    for label in ax.get_xticklabels():\n",
+    "        text = label.get_text()\n",
+    "        labels.append(textwrap.fill(text, width=width,\n",
+    "                      break_long_words=break_long_words))\n",
+    "    ax.set_xticklabels(labels, rotation=0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-29T18:41:42.895431Z",
+     "start_time": "2023-06-29T18:41:42.836359Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1445,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 13800x600 with 1 Axes>",
+      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
-    "g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
-    "g.savefig(\"notebooks/fbagd/figures/rxns_light_up.pdf\")"
+    "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
+    "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
+    "ax.set_title(\"Non-zero Fluxes\")\n",
+    "ax = sns.barplot(data=results_df, x=\"Environment\", y=\"log(Flux)\", ax=ax, hue=\"Reaction\")\n",
+    "ax.legend(bbox_to_anchor=(1, 1), title='Reactions', loc='upper left', ncol = 1)\n",
+    "wrap_x_labels(ax, 10)\n",
+    "fig = ax.get_figure()\n",
+    "plt.show(fig)\n",
+    "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:54:03.878599Z",
-     "start_time": "2023-06-26T20:54:03.128354Z"
+     "end_time": "2023-06-29T18:42:25.163555Z",
+     "start_time": "2023-06-29T18:41:42.862345Z"
     }
    }
   }

From ef3ae2fdb9129c44542ee38d6e5cee5150c735b7 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 29 Jun 2023 12:06:29 -0700
Subject: [PATCH 14/58] Add Excel with first-pass of new metabolism genes

---
 notebooks/new_environments/new_genes.xlsx | Bin 0 -> 17906 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 notebooks/new_environments/new_genes.xlsx

diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..e490ed6dc8c240ec2cea11bf8e0a75e1e745d06f
GIT binary patch
literal 17906
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From 9ad5759a8b41b33f5d92e436cedfc61386ed1cba Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Mon, 10 Jul 2023 10:15:42 -0700
Subject: [PATCH 15/58] Update Excel with first-pass of second set of
 metabolism genes

---
 notebooks/new_environments/new_genes.xlsx     | Bin 17906 -> 18841 bytes
 .../test_environments_new.ipynb               | 323 ++++++------------
 notebooks/new_environments/~$new_genes.xlsx   | Bin 0 -> 165 bytes
 notebooks/new_environments/~$temp.xlsx        | Bin 0 -> 165 bytes
 4 files changed, 101 insertions(+), 222 deletions(-)
 create mode 100644 notebooks/new_environments/~$new_genes.xlsx
 create mode 100644 notebooks/new_environments/~$temp.xlsx

diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
index e490ed6dc8c240ec2cea11bf8e0a75e1e745d06f..94c3c2cb96c1a5b9ccefdf4e36471402cb6a7036 100644
GIT binary patch
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M#}9KV_RrV<19bJ+_5c6?

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 812a2a958..725c976d3 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1412,
+   "execution_count": 1811,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:37.208940Z",
-     "start_time": "2023-06-29T18:13:36.979591Z"
+     "end_time": "2023-07-10T17:02:10.963672Z",
+     "start_time": "2023-07-10T17:02:10.728312Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1413,
+   "execution_count": 1812,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:37.222694Z",
-     "start_time": "2023-06-29T18:13:36.985613Z"
+     "end_time": "2023-07-10T17:02:10.965016Z",
+     "start_time": "2023-07-10T17:02:10.807434Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1414,
+   "execution_count": 1813,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:40.551633Z",
-     "start_time": "2023-06-29T18:13:36.993207Z"
+     "end_time": "2023-07-10T17:02:14.310336Z",
+     "start_time": "2023-07-10T17:02:10.829104Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1415,
+   "execution_count": 1814,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,8 +101,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:42.676035Z",
-     "start_time": "2023-06-29T18:13:40.559885Z"
+     "end_time": "2023-07-10T17:02:18.374404Z",
+     "start_time": "2023-07-10T17:02:14.311764Z"
     }
    }
   },
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1416,
+   "execution_count": 1815,
    "outputs": [
     {
      "data": {
@@ -147,8 +147,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:44.686933Z",
-     "start_time": "2023-06-29T18:13:42.708789Z"
+     "end_time": "2023-07-10T17:02:20.798866Z",
+     "start_time": "2023-07-10T17:02:18.379548Z"
     }
    }
   },
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1417,
+   "execution_count": 1816,
    "outputs": [
     {
      "data": {
@@ -197,21 +197,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:47.427870Z",
-     "start_time": "2023-06-29T18:13:44.686821Z"
+     "end_time": "2023-07-10T17:02:24.068061Z",
+     "start_time": "2023-07-10T17:02:20.783807Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1418,
+   "execution_count": 1817,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 1418,
+     "execution_count": 1817,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -224,8 +224,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:49.991158Z",
-     "start_time": "2023-06-29T18:13:47.453581Z"
+     "end_time": "2023-07-10T17:02:25.568537Z",
+     "start_time": "2023-07-10T17:02:24.068228Z"
     }
    }
   },
@@ -240,13 +240,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1419,
+   "execution_count": 1818,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 1419,
+     "execution_count": 1818,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,8 +280,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.049824Z",
-     "start_time": "2023-06-29T18:13:47.881847Z"
+     "end_time": "2023-07-10T17:02:25.568755Z",
+     "start_time": "2023-07-10T17:02:24.507832Z"
     }
    }
   },
@@ -296,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1420,
+   "execution_count": 1819,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -306,14 +306,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.050140Z",
-     "start_time": "2023-06-29T18:13:47.900438Z"
+     "end_time": "2023-07-10T17:02:25.568825Z",
+     "start_time": "2023-07-10T17:02:24.540826Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1421,
+   "execution_count": 1820,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -327,14 +327,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.579733Z",
-     "start_time": "2023-06-29T18:13:47.937930Z"
+     "end_time": "2023-07-10T17:02:26.046093Z",
+     "start_time": "2023-07-10T17:02:24.612262Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1422,
+   "execution_count": 1821,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -342,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.580036Z",
-     "start_time": "2023-06-29T18:13:50.526151Z"
+     "end_time": "2023-07-10T17:02:26.080514Z",
+     "start_time": "2023-07-10T17:02:26.056570Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1423,
+   "execution_count": 1822,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -364,20 +364,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:51.354272Z",
-     "start_time": "2023-06-29T18:13:50.556017Z"
+     "end_time": "2023-07-10T17:02:27.159288Z",
+     "start_time": "2023-07-10T17:02:26.096815Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1424,
+   "execution_count": 1823,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 1424,
+     "execution_count": 1823,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -388,14 +388,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:51.367321Z",
-     "start_time": "2023-06-29T18:13:51.358923Z"
+     "end_time": "2023-07-10T17:02:27.178963Z",
+     "start_time": "2023-07-10T17:02:27.170396Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1425,
+   "execution_count": 1824,
    "outputs": [
     {
      "data": {
@@ -425,14 +425,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:56.999821Z",
-     "start_time": "2023-06-29T18:13:51.375766Z"
+     "end_time": "2023-07-10T17:02:36.478519Z",
+     "start_time": "2023-07-10T17:02:27.189462Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1426,
+   "execution_count": 1825,
    "outputs": [
     {
      "data": {
@@ -461,8 +461,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:14:01.375333Z",
-     "start_time": "2023-06-29T18:13:56.999990Z"
+     "end_time": "2023-07-10T17:02:40.424627Z",
+     "start_time": "2023-07-10T17:02:36.475625Z"
     }
    }
   },
@@ -478,12 +478,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1427,
+   "execution_count": 1826,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:14:01.375910Z",
-     "start_time": "2023-06-29T18:14:00.330874Z"
+     "end_time": "2023-07-10T17:02:40.424842Z",
+     "start_time": "2023-07-10T17:02:38.955367Z"
     }
    },
    "outputs": [
@@ -491,7 +491,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 1427,
+     "execution_count": 1826,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -504,27 +504,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1433,
+   "execution_count": 1887,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:23:08.440759Z",
-     "start_time": "2023-06-29T18:23:08.315126Z"
+     "end_time": "2023-07-10T17:12:07.945108Z",
+     "start_time": "2023-07-10T17:12:07.654594Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n1                                     Ribose C-source   \n2                                  Thiamine salvaging   \n3                         Nitrate as reduction target   \n4      3-Phenylpropionate as carbon and energy source   \n..                                                ...   \n60                             Fructose, Unknown Role   \n61                Generic Hexose-Phosphate Antiporter   \n62                 Gluconoride Transport + Catabolism   \n63  Putative Symport of NA+ and Ascorbate Cataboli...   \n64               Plant Cell Wall Component Catabolism   \n\n                                                Genes  \\\n0   {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                {EG10818, EG10815, EG10814, EG10816}   \n2            {EG11574, G6566, M007, EG11572, EG11573}   \n3   {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                           {M011, M010, M012, G6206}   \n..                                                ...   \n60                                   {G6428, EG11905}   \n61                                          {EG11054}   \n62                                 {EG11055, EG11658}   \n63                        {EG12281, EG12282, EG12283}   \n64                                          {EG11685}   \n\n                                                  Add  \\\n0                      {FUM[p], HYDROGEN-MOLECULE[p]}   \n1                                 {D-Ribopyranose[p]}   \n2                                       {THIAMINE[p]}   \n3                                        {NITRATE[p]}   \n4                             {3-PHENYLPROPIONATE[p]}   \n..                                                ...   \n60                                   {FRUCTOSE-6P[c]}   \n61  {D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...   \n62                                  {Glucuronides[p]}   \n63                                       {CPD-334[p]}   \n64                                     {CPD0-1202[c]}   \n\n                          Remove Demand Reactions Substrates  \n0   {OXYGEN-MOLECULE[p], GLC[p]}     {}     [nan]      [nan]  \n1                       {GLC[p]}     {}     [nan]      [nan]  \n2                             {}     {}     [nan]      [nan]  \n3           {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n4                       {GLC[p]}     {}     [nan]      [nan]  \n..                           ...    ...       ...        ...  \n60                            {}     {}     [nan]      [nan]  \n61                      {GLC[p]}     {}     [nan]      [nan]  \n62                            {}     {}     [nan]      [nan]  \n63                      {GLC[p]}     {}     [nan]      [nan]  \n64                            {}     {}     [nan]      [nan]  \n\n[65 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>60</th>\n      <td>Fructose, Unknown Role</td>\n      <td>{G6428, EG11905}</td>\n      <td>{FRUCTOSE-6P[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>61</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>{EG11054}</td>\n      <td>{D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>Gluconoride Transport + Catabolism</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Glucuronides[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{EG12281, EG12282, EG12283}</td>\n      <td>{CPD-334[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>{EG11685}</td>\n      <td>{CPD0-1202[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n<p>65 rows × 7 columns</p>\n</div>"
+      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n\n                 Remove Demand Reactions Substrates  \n0                    {}     {}     [nan]      [nan]  \n1                    {}     {}     [nan]      [nan]  \n2  {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n3              {GLU[p]}     {}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1433,
+     "execution_count": 1887,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "condition_df = pd.read_excel(\"notebooks/new_environments/new_genes.xlsx\")\n",
+    "condition_df = pd.read_excel(\"notebooks/new_environments/temp.xlsx\")\n",
     "condition_df[\"Genes\"] = condition_df[\"Genes\"].apply(lambda x: set(x.split(\", \") if x == x else set()))\n",
     "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
     "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
@@ -537,7 +537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1434,
+   "execution_count": 1888,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -590,28 +590,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:23:37.045711Z",
-     "start_time": "2023-06-29T18:23:08.462304Z"
+     "end_time": "2023-07-10T17:12:09.665108Z",
+     "start_time": "2023-07-10T17:12:07.775307Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1435,
+   "execution_count": 1889,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:23:37.142130Z",
-     "start_time": "2023-06-29T18:23:37.045514Z"
+     "end_time": "2023-07-10T17:12:09.815085Z",
+     "start_time": "2023-07-10T17:12:09.709204Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                           Environment  \\\n0                       Hydrogen + fumarate, -O2, -Glc   \n1                                      Ribose C-source   \n2                                   Thiamine salvaging   \n3                          Nitrate as reduction target   \n4       3-Phenylpropionate as carbon and energy source   \n..                                                 ...   \n125                     Fructose, Unknown Role CONTROL   \n126        Generic Hexose-Phosphate Antiporter CONTROL   \n127         Gluconoride Transport + Catabolism CONTROL   \n128  Putative Symport of NA+ and Ascorbate Cataboli...   \n129       Plant Cell Wall Component Catabolism CONTROL   \n\n                                                 Genes  \\\n0    {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                 {EG10818, EG10815, EG10814, EG10816}   \n2             {EG11574, G6566, M007, EG11572, EG11573}   \n3    {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                            {M011, M010, M012, G6206}   \n..                                                 ...   \n125                                                 {}   \n126                                                 {}   \n127                                                 {}   \n128                                                 {}   \n129                                                 {}   \n\n                                Add                        Remove Demand  \\\n0    {FUM[p], HYDROGEN-MOLECULE[p]}  {OXYGEN-MOLECULE[p], GLC[p]}     {}   \n1               {D-Ribopyranose[p]}                      {GLC[p]}     {}   \n2                     {THIAMINE[p]}                            {}     {}   \n3                      {NITRATE[p]}          {OXYGEN-MOLECULE[p]}     {}   \n4           {3-PHENYLPROPIONATE[p]}                      {GLC[p]}     {}   \n..                              ...                           ...    ...   \n125                              {}                            {}     {}   \n126                              {}                            {}     {}   \n127                              {}                            {}     {}   \n128                              {}                            {}     {}   \n129                              {}                            {}     {}   \n\n                                             Reactions  \\\n0                    {RXN-16420, RXN0-5256, RXN0-7399}   \n1                            {ABC-28-RXN, RIBOKIN-RXN}   \n2    {ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...   \n3                    {RXN-15119, RXN0-3501, RXN0-7124}   \n4    {1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...   \n..                                                 ...   \n125                                         {RXN0-313}   \n126  {TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...   \n127                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n128                                   {TRANS-RXN0-235}   \n129                             {RXN-12402, RXN0-5001}   \n\n                                            Substrates  \n0    [{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...  \n1    [{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...  \n2    [{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...  \n3    [{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...  \n4    [{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...  \n..                                                 ...  \n125                                                 []  \n126                                                 []  \n127                                                 []  \n128                                                 []  \n129                                                 []  \n\n[130 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n      <td>[{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n      <td>[{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...</td>\n      <td>[{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN-15119, RXN0-3501, RXN0-7124}</td>\n      <td>[{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...</td>\n      <td>[{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>125</th>\n      <td>Fructose, Unknown Role CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-313}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>Generic Hexose-Phosphate Antiporter CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>Gluconoride Transport + Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>128</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-235}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>129</th>\n      <td>Plant Cell Wall Component Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN-12402, RXN0-5001}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n<p>130 rows × 7 columns</p>\n</div>"
+      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n4          N-acetylglucosamine degradation I CONTROL   \n5  putrescine (ubiquitious regulator) biosynthesi...   \n6    anaerobic growth using TMAO as acceptor CONTROL   \n7  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n4                         {}                           {}   \n5                         {}                           {}   \n6                         {}                           {}   \n7                         {}                           {}   \n\n                 Remove Demand  \\\n0                    {}     {}   \n1                    {}     {}   \n2  {OXYGEN-MOLECULE[p]}     {}   \n3              {GLU[p]}     {}   \n4                    {}     {}   \n5                    {}     {}   \n6                    {}     {}   \n7                    {}     {}   \n\n                                           Reactions  \\\n0  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n1                                  {ARGDECARBOX-RXN}   \n2                  {RXN0-5264, RXN-19618, RXN-19619}   \n3                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n4  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n5                                  {ARGDECARBOX-RXN}   \n6                  {RXN0-5264, RXN-19618, RXN-19619}   \n7                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n\n                                          Substrates  \n0  [{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...  \n1         [{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]  \n2  [{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...  \n3  [{WATER, Beta-D-Glucuronides, D-Glucopyranuron...  \n4                                                 []  \n5                                                 []  \n6                                                 []  \n7                                                 []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[{WATER, Beta-D-Glucuronides, D-Glucopyranuron...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>N-acetylglucosamine degradation I CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>putrescine (ubiquitious regulator) biosynthesi...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>anaerobic growth using TMAO as acceptor CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1435,
+     "execution_count": 1889,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -630,12 +630,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1441,
+   "execution_count": 1890,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.734067Z",
-     "start_time": "2023-06-29T18:36:08.617499Z"
+     "end_time": "2023-07-10T17:12:28.939797Z",
+     "start_time": "2023-07-10T17:12:09.816472Z"
     }
    },
    "outputs": [
@@ -643,136 +643,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Finished Hydrogen + fumarate, -O2, -Glc\n",
-      "Finished Ribose C-source\n",
-      "Finished Thiamine salvaging\n",
-      "Finished Nitrate as reduction target\n",
-      "Finished 3-Phenylpropionate as carbon and energy source\n",
-      "Finished Molybdenum cofactor synthesis\n",
-      "Finished Pre-Quenosine synthesis\n",
-      "Finished Acetate Transport\n",
-      "Finished Adenine Transport\n",
-      "Finished Allantoin Purine Utilization Nitrogen Source\n",
-      "Finished Pts Rare Carbon\n",
-      "Finished Acetoacetate Transport\n",
-      "Finished Vitamin B Uptake\n",
-      "Finished Carnitine Metabolism\n",
-      "Finished Cellobiose Transport\n",
-      "Finished Citrate Transport, Anaerobic\n",
-      "Finished Cytosine Transport\n",
-      "Finished Curcumin Met, Unknown Further Path\n",
-      "Finished Cyanate + cyanide transport + Utilization\n",
-      "Finished Succinate + fumarate transport (Bidirectional?)\n",
-      "Finished D-Galactonate Metabolism (Carbon Source)\n",
-      "Finished Formate Transport\n",
-      "Finished Psicoselysine Transport (Carbon Source)\n",
-      "Finished Fructose Transport (PTS)\n",
-      "Finished Fructose Metabolism\n",
-      "Finished Galactarate Metabolism\n",
-      "Finished Glycol Metabolism, Glyoxylate shuttle\n",
-      "Finished Phosphate Util, Glycerol-phosphate Uptake\n",
-      "Finished Glutamate Transport\n",
-      "Finished Gluconate Transport\n",
-      "Finished Putative Sugar Transport\n",
-      "Finished 3-phenylpropanoate Metabolism\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family)\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family)\n",
-      "Finished Idonate + gluconate Transport\n",
-      "Finished KDG transport\n",
-      "Finished Alpha-KG Transport\n",
-      "Finished L-Galactonate Metabolism\n",
-      "Finished Maltose Transport\n",
-      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose)\n",
-      "Finished Melibiose Transport + Metabolism\n",
-      "Finished Galactose Active Transport\n",
-      "Finished S-methylmethionine transport\n",
-      "Finished Mannitol PTS Transport\n",
-      "Finished Putative Nitrite Reduction\n",
-      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction\n",
-      "Finished Pantothenate (vit b5, CoA moeity) Transport\n",
-      "Finished Phosphonate (P source) Metabolism\n",
-      "Finished Nicotinamide Riboside Transport\n",
-      "Finished Pseudouridine Metabolism (Urine Growth)\n",
-      "Finished General PTS protein required for carbon source transport\n",
-      "Finished Alternative Pyridimine to Nitrogen Source Metabolism\n",
-      "Finished Shikimate Transport\n",
-      "Finished Sorbitol Transport\n",
-      "Finished Taurine ABC Transport\n",
-      "Finished Trehalose Metabolism + Transport\n",
-      "Finished Tartrate Anaerobic Transport\n",
-      "Finished Ascorbate + vit C PTS Transport + Catabolism\n",
-      "Finished Glycine Betaine Transport\n",
-      "Finished Galactofuranose Transport\n",
-      "Finished Fructose, Unknown Role\n",
-      "Finished Generic Hexose-Phosphate Antiporter\n",
-      "Finished Gluconoride Transport + Catabolism\n",
-      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate\n",
-      "Finished Plant Cell Wall Component Catabolism\n",
-      "Finished Hydrogen + fumarate, -O2, -Glc CONTROL\n",
-      "Finished Ribose C-source CONTROL\n",
-      "Finished Thiamine salvaging CONTROL\n",
-      "Finished Nitrate as reduction target CONTROL\n",
-      "Finished 3-Phenylpropionate as carbon and energy source CONTROL\n",
-      "Finished Molybdenum cofactor synthesis CONTROL\n",
-      "Finished Pre-Quenosine synthesis CONTROL\n",
-      "Finished Acetate Transport CONTROL\n",
-      "Finished Adenine Transport CONTROL\n",
-      "Finished Allantoin Purine Utilization Nitrogen Source CONTROL\n",
-      "Finished Pts Rare Carbon CONTROL\n",
-      "Finished Acetoacetate Transport CONTROL\n",
-      "Finished Vitamin B Uptake CONTROL\n",
-      "Finished Carnitine Metabolism CONTROL\n",
-      "Finished Cellobiose Transport CONTROL\n",
-      "Finished Citrate Transport, Anaerobic CONTROL\n",
-      "Finished Cytosine Transport CONTROL\n",
-      "Finished Curcumin Met, Unknown Further Path CONTROL\n",
-      "Finished Cyanate + cyanide transport + Utilization CONTROL\n",
-      "Finished Succinate + fumarate transport (Bidirectional?) CONTROL\n",
-      "Finished D-Galactonate Metabolism (Carbon Source) CONTROL\n",
-      "Finished Formate Transport CONTROL\n",
-      "Finished Psicoselysine Transport (Carbon Source) CONTROL\n",
-      "Finished Fructose Transport (PTS) CONTROL\n",
-      "Finished Fructose Metabolism CONTROL\n",
-      "Finished Galactarate Metabolism CONTROL\n",
-      "Finished Glycol Metabolism, Glyoxylate shuttle CONTROL\n",
-      "Finished Phosphate Util, Glycerol-phosphate Uptake CONTROL\n",
-      "Finished Glutamate Transport CONTROL\n",
-      "Finished Gluconate Transport CONTROL\n",
-      "Finished Putative Sugar Transport CONTROL\n",
-      "Finished 3-phenylpropanoate Metabolism CONTROL\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family) CONTROL\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family) CONTROL\n",
-      "Finished Idonate + gluconate Transport CONTROL\n",
-      "Finished KDG transport CONTROL\n",
-      "Finished Alpha-KG Transport CONTROL\n",
-      "Finished L-Galactonate Metabolism CONTROL\n",
-      "Finished Maltose Transport CONTROL\n",
-      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose) CONTROL\n",
-      "Finished Melibiose Transport + Metabolism CONTROL\n",
-      "Finished Galactose Active Transport CONTROL\n",
-      "Finished S-methylmethionine transport CONTROL\n",
-      "Finished Mannitol PTS Transport CONTROL\n",
-      "Finished Putative Nitrite Reduction CONTROL\n",
-      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction CONTROL\n",
-      "Finished Pantothenate (vit b5, CoA moeity) Transport CONTROL\n",
-      "Finished Phosphonate (P source) Metabolism CONTROL\n",
-      "Finished Nicotinamide Riboside Transport CONTROL\n",
-      "Finished Pseudouridine Metabolism (Urine Growth) CONTROL\n",
-      "Finished General PTS protein required for carbon source transport CONTROL\n",
-      "Finished Alternative Pyridimine to Nitrogen Source Metabolism CONTROL\n",
-      "Finished Shikimate Transport CONTROL\n",
-      "Finished Sorbitol Transport CONTROL\n",
-      "Finished Taurine ABC Transport CONTROL\n",
-      "Finished Trehalose Metabolism + Transport CONTROL\n",
-      "Finished Tartrate Anaerobic Transport CONTROL\n",
-      "Finished Ascorbate + vit C PTS Transport + Catabolism CONTROL\n",
-      "Finished Glycine Betaine Transport CONTROL\n",
-      "Finished Galactofuranose Transport CONTROL\n",
-      "Finished Fructose, Unknown Role CONTROL\n",
-      "Finished Generic Hexose-Phosphate Antiporter CONTROL\n",
-      "Finished Gluconoride Transport + Catabolism CONTROL\n",
-      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate CONTROL\n",
-      "Finished Plant Cell Wall Component Catabolism CONTROL\n"
+      "Finished N-acetylglucosamine degradation I\n",
+      "Finished putrescine (ubiquitious regulator) biosynthesis\n",
+      "Finished anaerobic growth using TMAO as acceptor\n",
+      "Finished gluconoride transport + gluconoride and gluconorate catabolism\n",
+      "Finished N-acetylglucosamine degradation I CONTROL\n",
+      "Finished putrescine (ubiquitious regulator) biosynthesis CONTROL\n",
+      "Finished anaerobic growth using TMAO as acceptor CONTROL\n",
+      "Finished gluconoride transport + gluconoride and gluconorate catabolism CONTROL\n"
      ]
     }
    ],
@@ -828,13 +706,14 @@
     "\n",
     "    if condition_df.at[condition_idx, \"Environment\"][-7:] == \"CONTROL\":\n",
     "        control_df = pd.DataFrame()\n",
-    "        flux_threshold = 1000\n",
+    "        flux_threshold = 100\n",
     "        for j, k in enumerate(fluxes.index):\n",
-    "            if abs(fluxes[k] - all_flux[condition_idx - length][k]) >= flux_threshold:\n",
+    "            if abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold:\n",
     "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
     "                          fluxes.index[j],\n",
-    "                          fluxes[k] - all_flux[condition_idx - length][k]]], columns=[\"Environment\", \"Reaction\", \"Control - Experiment Flux Difference\"]))\n",
-    "\n",
+    "                         (all_flux[condition_idx - length][k] - fluxes[k]) / (fluxes[k] + 0.01) ]], columns=[\"Environment\", \"Reaction\", \"(Experiment - Control)/(Control + 0.01) Flux\"]))\n",
+    "        if len(control_df) > 0:\n",
+    "            control_df = control_df.sort_values(by=[\"(Experiment - Control)/(Control + 0.01) Flux\"], ascending=False)\n",
     "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
     "    else:\n",
     "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
@@ -864,21 +743,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1442,
+   "execution_count": 1891,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.805390Z",
-     "start_time": "2023-06-29T18:41:42.748458Z"
+     "end_time": "2023-07-10T17:12:28.976773Z",
+     "start_time": "2023-07-10T17:12:28.952222Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                  Thiamine salvaging   \n..                                                ...   \n0                 Generic Hexose-Phosphate Antiporter   \n0                 Generic Hexose-Phosphate Antiporter   \n0   Putative Symport of NA+ and Ascorbate Cataboli...   \n0                Plant Cell Wall Component Catabolism   \n0                Plant Cell Wall Component Catabolism   \n\n                                             Reaction          Flux  log(Flux)  \n0   RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...  2.073151e+07   7.316631  \n0   ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...  1.352359e+06   6.131092  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...  8.324587e+05   5.920363  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...  5.199004e+05   5.715920  \n0                                          ABC-32-RXN  2.900000e+01   1.462398  \n..                                                ...           ...        ...  \n0   TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...  2.748300e+04   4.439064  \n0                                      TRANS-RXN0-502  1.007656e+06   6.003312  \n0                                      TRANS-RXN0-235  1.530495e+06   6.184832  \n0                                           RXN-12402  3.080000e+02   2.488551  \n0           RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.  1.563130e+05   5.193995  \n\n[87 rows x 4 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...</td>\n      <td>2.748300e+04</td>\n      <td>4.439064</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN0-502</td>\n      <td>1.007656e+06</td>\n      <td>6.003312</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>TRANS-RXN0-235</td>\n      <td>1.530495e+06</td>\n      <td>6.184832</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402</td>\n      <td>3.080000e+02</td>\n      <td>2.488551</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.</td>\n      <td>1.563130e+05</td>\n      <td>5.193995</td>\n    </tr>\n  </tbody>\n</table>\n<p>87 rows × 4 columns</p>\n</div>"
+      "text/plain": "                                       Environment  \\\n0                N-acetylglucosamine degradation I   \n0  putrescine (ubiquitious regulator) biosynthesis   \n\n                                            Reaction    Flux  log(Flux)  \n0               GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)  5222.0   3.717837  \n0  ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...  5563.0   3.745309  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)</td>\n      <td>5222.0</td>\n      <td>3.717837</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...</td>\n      <td>5563.0</td>\n      <td>3.745309</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1442,
+     "execution_count": 1891,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -891,7 +770,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1443,
+   "execution_count": 1892,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -901,14 +780,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.821187Z",
-     "start_time": "2023-06-29T18:41:42.813034Z"
+     "end_time": "2023-07-10T17:12:28.977590Z",
+     "start_time": "2023-07-10T17:12:28.961389Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1444,
+   "execution_count": 1893,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -924,19 +803,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.895431Z",
-     "start_time": "2023-06-29T18:41:42.836359Z"
+     "end_time": "2023-07-10T17:12:29.000381Z",
+     "start_time": "2023-07-10T17:12:28.972219Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1445,
+   "execution_count": 1894,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 13800x600 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 600x600 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -956,8 +835,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:42:25.163555Z",
-     "start_time": "2023-06-29T18:41:42.862345Z"
+     "end_time": "2023-07-10T17:12:29.810653Z",
+     "start_time": "2023-07-10T17:12:29.038533Z"
     }
    }
   }
diff --git a/notebooks/new_environments/~$new_genes.xlsx b/notebooks/new_environments/~$new_genes.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..5a932052db2a5d1e1d32a453f59be330b8becc3b
GIT binary patch
literal 165
zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx
R#Z!U2P@qgIP=x};5CA3W7%cz*

literal 0
HcmV?d00001

diff --git a/notebooks/new_environments/~$temp.xlsx b/notebooks/new_environments/~$temp.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..5a932052db2a5d1e1d32a453f59be330b8becc3b
GIT binary patch
literal 165
zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx
R#Z!U2P@qgIP=x};5CA3W7%cz*

literal 0
HcmV?d00001


From 672451d05c0c089c491e3d2062446bc2a7802163 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Mon, 10 Jul 2023 15:30:24 -0700
Subject: [PATCH 16/58] Test adding a putative L-selenocysteine synthesis
 pathway that is non tRNA dependent

---
 .../test_environments_new.ipynb               | 384 ++++++++++--------
 notebooks/new_environments/~$new_genes.xlsx   | Bin 165 -> 0 bytes
 notebooks/new_environments/~$temp.xlsx        | Bin 165 -> 0 bytes
 3 files changed, 213 insertions(+), 171 deletions(-)
 delete mode 100644 notebooks/new_environments/~$new_genes.xlsx
 delete mode 100644 notebooks/new_environments/~$temp.xlsx

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 725c976d3..964f98e25 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1811,
+   "execution_count": 1,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:10.963672Z",
-     "start_time": "2023-07-10T17:02:10.728312Z"
+     "end_time": "2023-07-10T22:27:41.384047Z",
+     "start_time": "2023-07-10T22:27:05.112853Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1812,
+   "execution_count": 2,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:10.965016Z",
-     "start_time": "2023-07-10T17:02:10.807434Z"
+     "end_time": "2023-07-10T22:27:41.504575Z",
+     "start_time": "2023-07-10T22:27:41.186466Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1813,
+   "execution_count": 3,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:14.310336Z",
-     "start_time": "2023-07-10T17:02:10.829104Z"
+     "end_time": "2023-07-10T22:27:59.820242Z",
+     "start_time": "2023-07-10T22:27:41.411204Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1814,
+   "execution_count": 4,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,8 +101,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:18.374404Z",
-     "start_time": "2023-07-10T17:02:14.311764Z"
+     "end_time": "2023-07-10T22:28:30.846738Z",
+     "start_time": "2023-07-10T22:27:58.305589Z"
     }
    }
   },
@@ -117,38 +117,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1815,
+   "execution_count": 5,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
-    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
-    "\n",
-    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
-    "plt.figure(figsize=(15, 5))\n",
-    "plt.plot(sim_exchanges.head(20), 'o')\n",
-    "\n",
-    "# shorten all xtick names to 10 characters\n",
-    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_exchanges.index[:20]], rotation=45, ha= 'right')\n",
-    "# make xticks aligned to right left of bar\n",
-    "plt.yscale('log')\n",
-    "plt.ylabel('Flux counts')\n",
-    "plt.title('Top 10 Fluxes')\n",
-    "plt.show()"
+    "# sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
+    "# sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
+    "#\n",
+    "# # plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "# plt.figure(figsize=(15, 5))\n",
+    "# plt.plot(sim_exchanges.head(20), 'o')\n",
+    "#\n",
+    "# # shorten all xtick names to 10 characters\n",
+    "# plt.xticks([i for i in range(20)], [i[:20] for i in sim_exchanges.index[:20]], rotation=45, ha= 'right')\n",
+    "# # make xticks aligned to right left of bar\n",
+    "# plt.yscale('log')\n",
+    "# plt.ylabel('Flux counts')\n",
+    "# plt.title('Top 10 Fluxes')\n",
+    "# plt.show()"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:20.798866Z",
-     "start_time": "2023-07-10T17:02:18.379548Z"
+     "end_time": "2023-07-10T22:28:35.313499Z",
+     "start_time": "2023-07-10T22:28:30.863688Z"
     }
    }
   },
@@ -163,69 +163,69 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1816,
+   "execution_count": 6,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
-    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
-    "\n",
-    "\n",
-    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
-    "plt.figure(figsize=(15, 5))\n",
-    "plt.plot(sim_fluxes.head(20), 'o')\n",
-    "\n",
-    "# shorten all xtick names to 10 characters\n",
-    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_fluxes.index[:20]], rotation=45, ha= 'right')\n",
-    "# make xticks aligned to right left of bar\n",
-    "\n",
-    "\n",
-    "plt.ylabel('Flux counts')\n",
-    "# log scale\n",
-    "plt.yscale('log')\n",
-    "plt.title('Top 10 Fluxes')\n",
-    "plt.show()"
+    "# sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "# sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "#\n",
+    "#\n",
+    "# # plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "# plt.figure(figsize=(15, 5))\n",
+    "# plt.plot(sim_fluxes.head(20), 'o')\n",
+    "#\n",
+    "# # shorten all xtick names to 10 characters\n",
+    "# plt.xticks([i for i in range(20)], [i[:20] for i in sim_fluxes.index[:20]], rotation=45, ha= 'right')\n",
+    "# # make xticks aligned to right left of bar\n",
+    "#\n",
+    "#\n",
+    "# plt.ylabel('Flux counts')\n",
+    "# # log scale\n",
+    "# plt.yscale('log')\n",
+    "# plt.title('Top 10 Fluxes')\n",
+    "# plt.show()"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:24.068061Z",
-     "start_time": "2023-07-10T17:02:20.783807Z"
+     "end_time": "2023-07-10T22:28:37.967609Z",
+     "start_time": "2023-07-10T22:28:35.306915Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1817,
+   "execution_count": 7,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 1817,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
-    "sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
-    "sim_catalysts"
+    "# sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
+    "# sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
+    "# sim_catalysts"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:25.568537Z",
-     "start_time": "2023-07-10T17:02:24.068228Z"
+     "end_time": "2023-07-10T22:28:39.821251Z",
+     "start_time": "2023-07-10T22:28:37.962368Z"
     }
    }
   },
@@ -240,48 +240,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1818,
+   "execution_count": 8,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 1818,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "uptake = metabolism.allowed_exchange_uptake\n",
-    "uptake = set(uptake)\n",
-    "\n",
-    "# addition = set([\"CPD0-1074[c]\"])\n",
-    "addition = set([\n",
-    "        # \"FRU[p]\",\n",
-    "        # \"NITRATE[p]\"\n",
-    "        # 'THIAMINE[p]',\n",
-    "        # 'HYDROGEN-MOLECULE[p]',\n",
-    "        # 'FUM[p]'\n",
-    "])\n",
-    "removals = set([\n",
-    "                  # \"GLC[p]\",\n",
-    "               #      # 'AMMONIUM[c]',\n",
-    "               #      # 'WATER[p]'\n",
-    "               #       # 'Pi[p]',\n",
-    "               #       # 'SULFATE[p]'\n",
-    "               # 'OXYGEN-MOLECULE[p]'\n",
-    "])\n",
-    "\n",
-    "\n",
-    "uptake = uptake | addition\n",
-    "uptake = uptake - removals\n",
-    "uptake"
+    "# uptake = metabolism.allowed_exchange_uptake\n",
+    "# uptake = set(uptake)\n",
+    "#\n",
+    "# # addition = set([\"CPD0-1074[c]\"])\n",
+    "# addition = set([\n",
+    "#         # \"FRU[p]\",\n",
+    "#         # \"NITRATE[p]\"\n",
+    "#         # 'THIAMINE[p]',\n",
+    "#         # 'HYDROGEN-MOLECULE[p]',\n",
+    "#         # 'FUM[p]'\n",
+    "# ])\n",
+    "# removals = set([\n",
+    "#                   # \"GLC[p]\",\n",
+    "#                #      # 'AMMONIUM[c]',\n",
+    "#                #      # 'WATER[p]'\n",
+    "#                #       # 'Pi[p]',\n",
+    "#                #       # 'SULFATE[p]'\n",
+    "#                # 'OXYGEN-MOLECULE[p]'\n",
+    "# ])\n",
+    "#\n",
+    "#\n",
+    "# uptake = uptake | addition\n",
+    "# uptake = uptake - removals\n",
+    "# uptake"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:25.568755Z",
-     "start_time": "2023-07-10T17:02:24.507832Z"
+     "end_time": "2023-07-10T22:28:39.974652Z",
+     "start_time": "2023-07-10T22:28:39.796551Z"
     }
    }
   },
@@ -296,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1819,
+   "execution_count": 9,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -306,14 +306,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:25.568825Z",
-     "start_time": "2023-07-10T17:02:24.540826Z"
+     "end_time": "2023-07-10T22:28:40.342788Z",
+     "start_time": "2023-07-10T22:28:39.825406Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1820,
+   "execution_count": 10,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -327,14 +327,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:26.046093Z",
-     "start_time": "2023-07-10T17:02:24.612262Z"
+     "end_time": "2023-07-10T22:28:45.137167Z",
+     "start_time": "2023-07-10T22:28:39.829153Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1821,
+   "execution_count": 11,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -342,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:26.080514Z",
-     "start_time": "2023-07-10T17:02:26.056570Z"
+     "end_time": "2023-07-10T22:28:45.216756Z",
+     "start_time": "2023-07-10T22:28:45.144887Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1822,
+   "execution_count": 12,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -364,20 +364,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:27.159288Z",
-     "start_time": "2023-07-10T17:02:26.096815Z"
+     "end_time": "2023-07-10T22:28:47.371218Z",
+     "start_time": "2023-07-10T22:28:45.189137Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1823,
+   "execution_count": 13,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 1823,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -388,19 +388,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:27.178963Z",
-     "start_time": "2023-07-10T17:02:27.170396Z"
+     "end_time": "2023-07-10T22:28:47.467987Z",
+     "start_time": "2023-07-10T22:28:47.398107Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1824,
+   "execution_count": 14,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 9000x1500 with 1 Axes>",
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+      "text/plain": "<Figure size 2160x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -425,19 +425,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:36.478519Z",
-     "start_time": "2023-07-10T17:02:27.189462Z"
+     "end_time": "2023-07-10T22:28:50.137991Z",
+     "start_time": "2023-07-10T22:28:47.448653Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1825,
+   "execution_count": 15,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -461,8 +461,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:40.424627Z",
-     "start_time": "2023-07-10T17:02:36.475625Z"
+     "end_time": "2023-07-10T22:28:51.809110Z",
+     "start_time": "2023-07-10T22:28:50.089286Z"
     }
    }
   },
@@ -478,12 +478,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1826,
+   "execution_count": 16,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:40.424842Z",
-     "start_time": "2023-07-10T17:02:38.955367Z"
+     "end_time": "2023-07-10T22:28:52.496434Z",
+     "start_time": "2023-07-10T22:28:51.805642Z"
     }
    },
    "outputs": [
@@ -491,7 +491,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 1826,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -504,21 +504,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1887,
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\"\n",
+    "                          # Associate added reactions with genes here\n",
+    "                          }"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-10T22:28:52.499965Z",
+     "start_time": "2023-07-10T22:28:52.352426Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:07.945108Z",
-     "start_time": "2023-07-10T17:12:07.654594Z"
+     "end_time": "2023-07-10T22:28:53.330198Z",
+     "start_time": "2023-07-10T22:28:52.376226Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n\n                 Remove Demand Reactions Substrates  \n0                    {}     {}     [nan]      [nan]  \n1                    {}     {}     [nan]      [nan]  \n2  {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n3              {GLU[p]}     {}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment      Genes                 Add Remove  \\\n0  Testing L-Selenocysteine  {EG10941}  {SER[c], SEPO3[c]}     {}   \n\n                  Demand Reactions Substrates  \n0  {L-SELENOCYSTEINE[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1887,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -537,7 +554,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1888,
+   "execution_count": 19,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -545,6 +562,7 @@
     "for i in range(length):\n",
     "    genes = condition_df.loc[i, \"Genes\"]\n",
     "    rxn_set = set()\n",
+    "    added_rxn_set = set()\n",
     "\n",
     "    for gene in genes:\n",
     "        function = \"reactions-of-gene\"\n",
@@ -562,6 +580,9 @@
     "            else:\n",
     "                print(gene, rxn)\n",
     "\n",
+    "        if gene in added_gene_to_reaction.keys():\n",
+    "            added_rxn_set.add(added_gene_to_reaction[gene])\n",
+    "\n",
     "    condition_df.at[i, \"Reactions\"] = rxn_set\n",
     "\n",
     "    overall_list = []\n",
@@ -583,6 +604,8 @@
     "                print(reaction, compound)\n",
     "\n",
     "        overall_list.append(compound_set)\n",
+    "\n",
+    "    condition_df.at[i, \"Reactions\"].update(added_rxn_set)\n",
     "    condition_df.at[i, \"Substrates\"] = overall_list\n",
     "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
     "    # This is to create the control"
@@ -590,28 +613,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:09.665108Z",
-     "start_time": "2023-07-10T17:12:07.775307Z"
+     "end_time": "2023-07-10T22:28:53.776477Z",
+     "start_time": "2023-07-10T22:28:53.362916Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1889,
+   "execution_count": 20,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:09.815085Z",
-     "start_time": "2023-07-10T17:12:09.709204Z"
+     "end_time": "2023-07-10T22:28:53.778343Z",
+     "start_time": "2023-07-10T22:28:53.686832Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n4          N-acetylglucosamine degradation I CONTROL   \n5  putrescine (ubiquitious regulator) biosynthesi...   \n6    anaerobic growth using TMAO as acceptor CONTROL   \n7  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n4                         {}                           {}   \n5                         {}                           {}   \n6                         {}                           {}   \n7                         {}                           {}   \n\n                 Remove Demand  \\\n0                    {}     {}   \n1                    {}     {}   \n2  {OXYGEN-MOLECULE[p]}     {}   \n3              {GLU[p]}     {}   \n4                    {}     {}   \n5                    {}     {}   \n6                    {}     {}   \n7                    {}     {}   \n\n                                           Reactions  \\\n0  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n1                                  {ARGDECARBOX-RXN}   \n2                  {RXN0-5264, RXN-19618, RXN-19619}   \n3                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n4  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n5                                  {ARGDECARBOX-RXN}   \n6                  {RXN0-5264, RXN-19618, RXN-19619}   \n7                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n\n                                          Substrates  \n0  [{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...  \n1         [{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]  \n2  [{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...  \n3  [{WATER, Beta-D-Glucuronides, D-Glucopyranuron...  \n4                                                 []  \n5                                                 []  \n6                                                 []  \n7                                                 []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[{WATER, Beta-D-Glucuronides, D-Glucopyranuron...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>N-acetylglucosamine degradation I CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>putrescine (ubiquitious regulator) biosynthesi...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>anaerobic growth using TMAO as acceptor CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        Environment      Genes                 Add Remove  \\\n0          Testing L-Selenocysteine  {EG10941}  {SER[c], SEPO3[c]}     {}   \n1  Testing L-Selenocysteine CONTROL         {}                  {}     {}   \n\n                  Demand                                          Reactions  \\\n0  {L-SELENOCYSTEINE[c]}  {2.9.1.1-RXN, putative-L-selenocysteine-synthe...   \n1                     {}  {2.9.1.1-RXN, putative-L-selenocysteine-synthe...   \n\n      Substrates  \n0  [{Pi, SEPO3}]  \n1             []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{2.9.1.1-RXN, putative-L-selenocysteine-synthe...</td>\n      <td>[{Pi, SEPO3}]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{2.9.1.1-RXN, putative-L-selenocysteine-synthe...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1889,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -630,27 +653,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1890,
-   "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:28.939797Z",
-     "start_time": "2023-07-10T17:12:09.816472Z"
-    }
-   },
+   "execution_count": 21,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Finished N-acetylglucosamine degradation I\n",
-      "Finished putrescine (ubiquitious regulator) biosynthesis\n",
-      "Finished anaerobic growth using TMAO as acceptor\n",
-      "Finished gluconoride transport + gluconoride and gluconorate catabolism\n",
-      "Finished N-acetylglucosamine degradation I CONTROL\n",
-      "Finished putrescine (ubiquitious regulator) biosynthesis CONTROL\n",
-      "Finished anaerobic growth using TMAO as acceptor CONTROL\n",
-      "Finished gluconoride transport + gluconoride and gluconorate catabolism CONTROL\n"
+      "Finished Testing L-Selenocysteine\n",
+      "Finished Testing L-Selenocysteine CONTROL\n"
      ]
     }
    ],
@@ -659,6 +669,29 @@
     "zero_df = pd.DataFrame()\n",
     "all_flux = []\n",
     "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}\n",
+    "\n",
+    "reactions_add = {\"putative-L-selenocysteine-synthesis\": {'SEPO3[c]': -1, 'SER[c]': -1, 'Pi[c]': 1, 'L-SELENOCYSTEINE[c]': 1}\n",
+    "                 # Insert other added reactions here\n",
+    "                 }\n",
+    "\n",
+    "for col_idx, (reaction, stoich) in enumerate(reactions_add.items()):\n",
+    "        new_col = np.zeros([len(metabolism.stoichiometry),1])\n",
+    "        metabolism.stoichiometry = np.append(metabolism.stoichiometry, new_col, axis=1)\n",
+    "\n",
+    "        for species, coefficient in stoich.items():\n",
+    "            i = metabolites_idx[species]\n",
+    "            metabolism.stoichiometry[i, np.shape(metabolism.stoichiometry)[1] - 1] = coefficient\n",
+    "\n",
+    "        # now adds an entry for every reaction, list can be empty\n",
+    "        reaction_catalysts[\"putative-L-selenocysteine-synthesis\"] = ['CPLX0-1141[c]']\n",
+    "        # 'EG10941-MONOMER[i]' should be the reaction catalyst?\n",
+    "        enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]\n",
+    "        metabolism.catalyzed_rxn_enzymes_idx.append(enzyme_idx)\n",
+    "\n",
     "for i in range(len(condition_df)):\n",
     "    condition_idx = i\n",
     "\n",
@@ -678,6 +711,10 @@
     "    uptake = uptake | addition\n",
     "    uptake = uptake - removals\n",
     "\n",
+    "    for gene in condition_df.at[i, \"Genes\"]:\n",
+    "        if gene in added_gene_to_reaction:\n",
+    "            metabolism.reaction_names.append(added_gene_to_reaction[gene])\n",
+    "\n",
     "    model = NetworkFlowModel(\n",
     "            stoich_arr=metabolism.stoichiometry,\n",
     "            metabolites=metabolism.metabolite_names,\n",
@@ -685,10 +722,8 @@
     "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
     "            kinetic_reactions=list(dict(kinetic).keys()),\n",
     "            free_reactions=FREE_RXNS)\n",
-    "\n",
     "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
     "\n",
-    "\n",
     "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
     "    solution: FlowResult = model.solve(\n",
     "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
@@ -723,7 +758,7 @@
     "            relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
     "\n",
     "        relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
-    "    \n",
+    "\n",
     "        relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
     "        zero_fluxes = relevant_fluxes[relevant_fluxes == 0]\n",
     "\n",
@@ -739,25 +774,32 @@
     "\n",
     "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
     "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-10T22:29:21.975330Z",
+     "start_time": "2023-07-10T22:28:53.740958Z"
+    }
+   }
   },
   {
    "cell_type": "code",
-   "execution_count": 1891,
+   "execution_count": 22,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:28.976773Z",
-     "start_time": "2023-07-10T17:12:28.952222Z"
+     "end_time": "2023-07-10T22:29:22.160768Z",
+     "start_time": "2023-07-10T22:29:21.864923Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                       Environment  \\\n0                N-acetylglucosamine degradation I   \n0  putrescine (ubiquitious regulator) biosynthesis   \n\n                                            Reaction    Flux  log(Flux)  \n0               GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)  5222.0   3.717837  \n0  ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...  5563.0   3.745309  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)</td>\n      <td>5222.0</td>\n      <td>3.717837</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...</td>\n      <td>5563.0</td>\n      <td>3.745309</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment                             Reaction   Flux  \\\n0  Testing L-Selenocysteine  putative-L-selenocysteine-synthesis  100.0   \n\n   log(Flux)  \n0        2.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1891,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -770,7 +812,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1892,
+   "execution_count": 23,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -780,14 +822,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:28.977590Z",
-     "start_time": "2023-07-10T17:12:28.961389Z"
+     "end_time": "2023-07-10T22:29:22.162005Z",
+     "start_time": "2023-07-10T22:29:21.927816Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1893,
+   "execution_count": 24,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -803,19 +845,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:29.000381Z",
-     "start_time": "2023-07-10T17:12:28.972219Z"
+     "end_time": "2023-07-10T22:29:22.162977Z",
+     "start_time": "2023-07-10T22:29:21.948237Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1894,
+   "execution_count": 25,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 600x600 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": "<Figure size 300x600 with 1 Axes>",
+      "image/png": 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Jt9asWYJIVrVo0UInT57U5MmTNX36dH377bcqV66cLl++rOjoaElS3bp19emnn+brWqquXbtqxYoVunjxokJCQlShQgVJt0bWChcurG7dulnfJWexaNEirVmzRg4ODho7dqwKFixoLXv//fe1efNmRUdHa+TIkfrkk08k3QqDo0aN0ogRIzR37lzNnz9f5cuX140bN3TixAmZzWYVL15cX3/9tXU9W4ECBfT555/rtdde06+//qp169bp4YcfloODg06dOqX4+Hi5urpq3LhxGe4YCQAAHmyENPwnde7cWatXr7YGoH974okntGrVKn3zzTfauHGjjh07JmdnZ1WuXFnPPvusOnbsqMKFC+d6P28ftQkPD8/yeQULFtSMGTP022+/aenSpdq/f78OHjwod3d3BQUFqV27dmrVqlWm0yYz0qtXL9WvX1/ffvuttm/frkOHDqlw4cKqX7++2rRpc9ft5iQfHx8tWbJEM2bM0MaNG3XixAl5enqqffv2evPNN63vN7M4efKkxowZI+lWwLO8683C09NTw4cP19tvv62ff/5ZTZo0UYsWLSRJL774oh599FF9++23+vvvv3X48GGZTCaVL19ejRs31quvvpruFQdBQUFatGiRvvnmG+3YsUPHjx+Xk5OTfHx89MQTT+jVV19VqVKlcvEJAQAAIzOZM5rzBQAAAADIc6xJAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMBBCGgAAAAAYCCENAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMBBCGgAAAAAYCCENAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAgTvndATy40tLSlJCQkO64k5OTTCZTPvQIgIXZbFZKSkq6466urnJw4Pd3AADkJ0Iack1CQoIOHTqU390AkA2VKlWSu7t7fncDAID/NH5dCgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBA2DgEucbJyf6XV6VKleTs7JzHvQFwu+TkZLsb+2T0uQUAAHmH78bINRlts+/s7KwCBQrkcW8AZAWvxwAAIP8x3REAAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgbBxCADgrpjNZqWlpclsNud3VwAAyBEmk0kODg75vpEWIQ0AkC3x8fGKjY3V9evXlZqamt/dAQAgRzk6OsrDw0NFixaVm5tbvvSBkAYAyLJr164pOjo6v7sBAECuSU1N1dWrV3X16lWVLl1ahQsXzvM+sCYNAJAl8fHxBDQAwH9KdHS04uPj8/y6hDQAQJbExsbmdxcAAMhz+fH9j+mOAIA7MpvNun79us0xNzc3+fj4yNHRMZ96BQBAzkpNTdW5c+dsRs+uX78us9mcp5uJENKy4Oeff9bixYt16NAhJSQk6KGHHlL9+vXVs2dP+fn5ZbmdY8eOafr06dqxY4cuXbokHx8ftWjRQj179pS7u7vdc/7++2/Nnj1bhw4dUmJiovz8/NSxY0e1b98+33edAfDfkZaWlm6TEB8fHxUsWDCfegQAQM5zcnKSj4+Pjh49aj2WmpqqtLS0PP2lJNMdM2E2mzVw4EC9++672rVrl8qXL68nn3xSjo6OWrZsmdq1a6fNmzdnqa29e/eqXbt2Wrlypby8vNS4cWPFx8dr5syZ6tixo+Li4tKd88MPP6h79+7atm2bqlSpoqCgIEVFRen999/XkCFDcvp2ASBD9rbZZwQNAPAgsvf9La9fN8NIWiZWrFihX375RSVKlNDXX38tf39/SbfS9JQpUzRz5kwNGjRIa9asyXR7zuTkZL399tuKj4/XuHHj1LZtW0lSYmKiBgwYoPXr12vixIn68MMPreccPXpUo0ePVuHChTVv3jxVqlRJknTmzBl17dpVy5cvV6NGjdSyZcvcewAAAAAA8hwjaZlYvHixJGngwIHWgCbdStdvv/22KlasqIsXL+rvv//OtJ1Vq1YpOjpajz/+uDWgSZKLi4vGjBkjNzc3LV68WNeuXbOWzZ49W2lpaXrttdesAU2SSpUqpeHDh0uS5syZkyP3CQAAAMA4GEnLROHChVW+fHnVrl07XZnJZFK5cuV0+PBhxcTEZNpOWFiYJKl58+bpyooVK6agoCCFhYVp06ZN1pGxDRs2ZHhOgwYNVLhwYe3bt08XL15U8eLFs3tr+SolJYX1dEA+S0lJye8uAACADBDSMjF9+vQMy1JTUxUeHi5JKlmyZKbtREZGSpICAgLsllesWFFhYWGKiIhQy5YtdfHiRV2+fFkFCxZUuXLl0tV3dHSUn5+fdu/erYiIiPsupB08ePCe23ByclKNGjVyoDfA/WXPnj0ELAAAHnBMd7xLP/74o6Kjo1WsWDHVq1cv07rnz5+XJHl7e9st9/LykiTriJylvpeXV4YjTpZzLly4kP3OAwAAADAsRtLuwubNm/XJJ59IurVezdXVNdP6CQkJkm6tQbPHctzyPgZL/czatWx7fePGjWz0HACAB19GM1csnJyc5O7uLl9fXzVs2FCvvfaaChcunEe9y3mHDx9WxYoVbY5ZnsE333yjBg0a5Ee3ANwDQlo2hYWF6e2331ZSUpJCQkLUoUOHO57j6OiotLS0O9azbO3p4JD1Ac683g4UAID7RdmyZeXp6ZnueFJSkk6dOqXw8HCFh4dr6dKlWrhw4R2XLxjNsWPHNHr0aMXHx+unn37K7+4AyEGEtGyYN2+exo4dq9TUVHXp0kXDhg3L0nnu7u6KjY3VzZs37ZYnJiZKknUbf8uLrS3H7bG0ldnW/0ZVuXJlOTs753i7gyasVNwN+88YuB8Vci+oCYNesDlWpUqVHGk7OTk5R9aHAkbWq1cvtWvXzm5ZWlqaVq5cqWHDhikmJkZDhw7V3Llz87aD9+iXX37Rpk2bVKtWrXRlv/76q6Rbu0IDuP8Q0rIgJSVFI0eO1IIFC2QymTRw4ED17Nkzy+eXKFFCsbGxunDhgt3f0lnWopUoUULS/9auXbx4McM2/33O/cTJySlXQlrcjZuENDzwcuqzwyg8/uscHBzUunVrHT9+XF988YU2b96s48ePq2zZsvndtRxRvnz5/O4CgHvAxiF3kJiYqF69emnBggVycXHRZ599lq2AJv1vXvjhw4ftlh85csSmXtGiReXt7a2EhASdOnUqXf3U1FQdPXpUkmze3wYAALKnSZMm1r9n9H0aAPIaI2mZSE1N1RtvvKFNmzbJ09NTs2bNUvXq1bPdTuPGjbVy5UqFhobqxRdftCm7cuWKtmzZooIFC6p+/fo25yxYsEChoaF67bXXbM7566+/FBcXp6pVq96XI2kAABjF7evA7Y0wX79+Xd9++63WrFmjEydOyGw2q0yZMnr66afVrVu3DDcc2bp1qxYtWqRdu3bp4sWLSklJUbFixfToo48qJCTE5nv+7U6ePKkffvhBGzdu1NmzZ+Xo6Ch/f3+1a9dO7du3l4ODg06fPq2mTZtaz9m5c6cCAgJUunRprV+/XlLmG4ecP39ec+fO1caNGxUdHS0HBwc9/PDDevrpp/XKK6+ku6epU6dq2rRpev311/Xqq6/qiy++0Pr16xUTE6PChQsrKChIvXv3trthy549e/TNN99ox44dunz5stzc3FSuXDk1a9ZMISEh8vDwsPscgP86RtIyMWPGDG3atElubm767rvv7hjQEhISFBUVpaioKJvjzZo1U+nSpbVhwwbNnz/fejwxMVHDhg1TfHy8goODbRY3h4SEyMnJSTNmzNDevXutx8+cOaNRo0ZJknr37p0TtwkAwH+WZe2Wg4NDuu/zUVFRatWqlaZMmaLIyEiVKFFCjzzyiI4eParp06erTZs26b7nS9LEiRPVpUsXrVixQjdu3JCfn59KlSqly5cvKzQ0VN26ddOCBQvSnbdmzRq1bt1ac+fO1ZkzZ1S+fHl5enpq165d+uCDD/Tuu+/KbDarYMGCqlWrlnUJhYeHh2rVqqXAwMA73u/mzZv13HPPac6cOTp58qTKlSun0qVLKzIyUlOnTlWrVq0UERFh99wzZ86oTZs2+v777yXdmlJ55coV/frrr3rppZes74+1CA0NVUhIiH777TclJycrICBAnp6e2rt3ryZOnKiOHTvq+vXrd+wz8F/ESFoGrl69qq+//lrSrXVfs2bNyrBu69at1bBhQ+3du1evvPKKJNn8H5yLi4vGjx+vHj16aMSIEVq4cKF8fX21a9cuxcTEKDAwUAMGDLBps1KlShowYIA+/fRTderUSXXr1lXBggW1ZcsWxcfHq2PHjmrevHku3DkAAA++mzdvasGCBdbNQl588UX5+PhYy+Pj49WnTx9FR0eradOmGjFihHXN+IULF/T+++9rw4YN6tu3r37++Wfr63S2bNmiL7/8Ug4ODho9erTatm1rHa07d+6c3nnnHW3dulWff/65OnToYC07efKk3nnnHSUkJKht27YaNmyYChUqJEn6448/1K9fP61cuVJ169ZVcHCwfvrpJ+sIl7+/f5Z2d4yOjlbfvn0VHx+vp556SqNGjVLx4sUlSadOndI777yjXbt2qXfv3lqxYoX1+harVq1SuXLltGjRIlWrVk2SdPToUXXv3l3nzp3T9OnT9cUXX0i6tTHLyJEjlZKSonfeeUfdu3eXo6OjJCk8PFw9evTQ4cOH9eOPP2Z7GQnwX0BIy8DWrVut7y07fvy4jh8/nmHdwMBANWzYMNP26tSpo0WLFmnatGnaunWrjhw5Il9fXwUHB6t79+7WHR1v16NHD5UrV05z587Vnj17ZDKZVL58eXXu3FmtW7e+p/sDAOBBN2vWLC1atMjmmNls1vXr13XixAklJSVJklq2bKn333/fpt6iRYt04sQJVa1aVVOnTrUGDEny8vLS559/rpYtW+r48eNaunSpQkJCJEl//vmnnJ2d9dRTT6Vb4uDj46P+/furc+fOunTpki5duiQvLy9J0tdff62EhAQ9+uijGjNmjM00zCeffFJ9+vTR5MmTtWTJEgUHB9/184iPj5e/v78+//xzFShQwFpWpkwZzZo1S88995zOnDmjefPmqW/fvunamDhxoqpWrWr9bz8/P3Xr1k3jxo3Tzp07rccvX76sCxcuSJKCg4Ntnl/VqlU1YMAAbdy4UUWLFr2rewEedIS0DDz99NMZDvdnJCgoKNNz/P39NWXKlGy12bRpU5t55wAAIGsy+yVr2bJl1bBhQz333HOqWbNmuvK1a9dKuhXgbg8YFi4uLnrmmWc0Z84chYWFWUPaoEGDNHDgQGsAtHeexe2v2gkLC5Mkm9G127388stq2rSpHnnkkQzu9s42bNggSerUqZNNQLMoUqSIXnzxRc2cOVNr165NF9JKlChhE9As/Pz8JElxcXHWY8WKFVORIkV09epVDRo0SH369FGNGjWs9xYcHHzXYRP4LyCkAQCAB9LYsWOt70lLS0tTdHS0vvrqK82fP18xMTEqW7as3YAmSZGRkZJujaitW7fObh3Lq3IsOy5bmEwmmUwmbd++XUeOHNGpU6d08uRJRURE6MSJE9Z6aWlpkm5NvTx//rykW8sd7PHw8FDFihWzeuvpXL9+3XqNzNauWULYsWPH0pVZpnv+myV4pqSkWI85Ojpq0KBB+uCDD7Rx40Zt3LhRRYoUUVBQkB5//HE1btzYZnopAFuENAAA8MBzcHBQmTJl9NFHH6l48eKaNm2aRo0apZs3b6bbRVmSdUOLOy15kGxHkMxms77++mvNmjVL165dsx43mUwqV66cWrdurZ9//tnm/NjYWOvf3dzc7uLu7uzGjRvWv2e2o6KlLD4+XmazWSaTyVqW3fc0BgcH65FHHtE333yjv//+W1evXlVoaKhCQ0NlMpnUqFEjffTRR4Q1wA5CGgAA+E958803tWvXLv3111+aMGGCqlSpkm5LfFdXV8XFxWnmzJk271K7k+nTp2vq1KmSbk2VfPLJJ1WhQgX5+fnJ3d1dx48fTxfSXF1drX+/PUzlpNvXvme2o+LVq1cl3QqLtwe0uxUUFKSgoCAlJiZq+/bt2rZtm/7880+Fh4drw4YN6tWrl5YvX54j1wIeJGzBDwAA/lNMJpPGjh2rQoUKKS0tTYMHD04XXMqVKycp8xdcHz9+XPv27dPly5clScnJydadod944w1NnjxZbdu2VbVq1awh6dy5c+naKVy4sB566KFMrxcTE6Pg4GANGDDAZuQuqzw8PKyblOzfvz/DepaysmXLZvsat0tKSlJUVJT27Nkj6daUyCeeeEIDBgzQ0qVLNWnSJEnSoUOHsr0HAPBfQEgDAAD/Od7e3ho8eLCkWy93/uSTT2zKLaNnixcvttngwyIlJUV9+/ZV+/btNX78eEnSlStXrDtD29tgQ5LNbpO3r+F68sknJUlLliyxe97vv/+uPXv2aM+ePdat8S2jT/Zewm3PU089JUn66aef7G5scvXqVS1fvtymP3frjz/+UMuWLdWzZ0+717r9Bdupqan3dC3gQURIAwAA/0nt27dXnTp1JEkLFy7U9u3brWWdO3eWl5eXTpw4oT59+ujMmTPWssuXL+vtt99WVFSUnJ2d9eqrr0qSPD09rVvKz50712at2eXLl/Xhhx/ql19+sR67Pfz16NFDBQoU0Pbt2zVy5EglJCRYy/744w9NnjxZkmzWz1lG52JiYmwCX0Zef/11ubu7KzIyUv3799elS5esZadOnVKvXr108eJFeXt7q2vXrndsLzNPPvmkihUrptjYWA0ePNjmWVy/ft0abEuWLHlPG6IADyrWpAEAgP8kk8mkkSNHqnXr1kpKStL777+vFStWqECBAipSpIhmzJihPn366O+//1bTpk1VoUIFmUwmHTt2TElJSXJyctKkSZMUEBAgSXJyclL//v310UcfaevWrWrcuLHKli2rpKQknThxQikpKapSpYrOnj2rK1eu6Ny5c9YRtwoVKuiTTz7Ru+++qx9++EHLli2Tn5+fLl26pLNnz0qS2rVrZ93qX5IqV64s6dZLqps3b64SJUrop59+ynB9V5kyZTRlyhT1799f69evV6NGjVShQgWlpqbqyJEjSktLU6lSpTRt2jR5enre07MtUKCAPv/8c7322mv69ddftW7dOj388MNycHDQqVOnFB8fL1dXV40bN87u6wCA/zpG0gAAwH+Wn5+fevfuLenWtvPTp0+3llWrVk0rV67UG2+8oYCAAJ0+fVpHjx5V8eLF1aZNGy1ZskTNmze3aS8kJERz587V448/rkKFCunw4cO6dOmSatSooeHDh2vhwoVq1KiRpP+9G82iRYsW+vnnn9WhQwcVK1ZMERERiouLU1BQkD777DONHTvWJoDVq1dP7777rkqXLq2YmBidPn3a+lqAjDzxxBNatWqVunXrJl9fXx07dkxnz55V5cqVNXDgQP38888ZTtXMrqCgIC1atEitW7eWl5eXjh8/rpMnT8rb21tdunTRr7/+qnr16uXItYAHjcmc1YnMQDYlJSVp37596Y5Xq1YtV35r1uujxYq7cTPH2wXySyH3gpo1on2utJ3dz2dKSkq6DQ0qVqwoJycmZAAAHixG+J7HSBoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAPADMZrMh2wJyAl+TeY9nnr8IaQAA3MdiY2P10UcfacWKFffcVkJCgj7//HPNnj3b5vjUqVMVEBCgjz/++J6vkVOWLl2qgIAAdenSJb+7kmUBAQEKCAjQtWvX8rsr95Xdu3erffv299zOli1bFBAQoNatW+dArx5sGT1zo30Nnz59WgEBAXrsscfyuys5zim/OwAAeHANmrBScTdu5nc3MlXIvaAmDHohv7tx1z744AOFhoaqWrVq99zW559/rm+++UZvvvlmDvQMuHfXr19Xx44dGdXJQzxzYyCkAQByTdyNm4YPafe71NTUXG+rc+fOatmypYoWLZpj1wKyIi0tLcfCQvXq1fXrr7+qYMGCOdLegyonn3lu8/b21q+//ipHR8f87kqOI6QBAIBMeXp6ytPTM7+7AdwTV1dXlS9fPr+7gRzk7Oz8wP6bsiYNAIBcYlnLtWjRIm3atEkvvfSSatSooccff1z9+vVTeHi4Tf0uXbooICBAa9euTdfWwYMHFRAQoKeeekrS/9ZirFu3TpI0dOhQBQQEaOnSpdZzrl+/ri+//FIdO3ZU3bp1VbVqVdWtW1ddunTRypUrbdoPCAjQd999J0maNm2aAgICNHXqVJv7sKxJW7RokQICAtSzZ0+7952cnKygoCBVrlxZZ86csR5PSkrSvHnz1L59e9WsWVOPPvqo2rVrp3nz5ik5OTlbzzY3XLhwQaNGjdJzzz2nRx99VI899piCg4M1d+5cJSUlpatvNpu1fPlyvfzyy6pdu7aqV6+u559/XtOnT1d8fHyWr5ud52L5d+/WrZtiY2M1evRoNWnSRIGBgWrSpIlGjx6ty5cv273O1q1b9cYbb6h+/foKDAxUw4YNNWjQIEVERGTYt19++UVdu3ZVvXr1VKtWLbVu3VpfffWVEhISJEkREREKCAhQnTp1dPOm/VHznj17KiAgQBs3brQ+t/nz56tTp06qX7++qlevrmbNmmn48OE6deqU9bypU6eqTp061v+2rIe63Y0bN/TFF1/ohRdeUI0aNVSrVi2FhIRo+fLl6UaD7K1Ju5fnGRkZqXfeeUcNGzZUYGCgnnjiCQ0cOFBHjhzJ8Hlm5Pr165o8ebJat26tWrVqqWbNmmrTpo2mTZum69evW+uNGzdOAQEBGj58uN12YmJiVKVKFT3xxBNKTU3N9v1l5ZlL/1u/2rx5c+u9Dx06VOfPn7fbr+joaI0YMUJPPfWUAgMDVa9ePfXt21e7du2yW3/z5s3q1auXta9PPPGE3nzzTW3dutWmXkZr0rL6PI2MkAYAQC5bt26dXn/9dZ09e1aNGjWSl5eXQkND1bFjR4WFhd1Vm25ubnrhhRfk4+MjSapZs6ZeeOEFPfzww5JubSgSHBysiRMn6vTp06pZs6YaN26sYsWKaevWrRo0aJC+/PJLa3svvPCC/Pz8JEn+/v564YUX7P5wJkktWrSQq6ur/vrrL7s/wG7cuFGxsbEKCgpSqVKlJEnx8fHq1q2bRo8erePHj6tmzZqqV6+eTp48qdGjR+v111+3G4TyyuXLl9WhQwd9//33SkpK0hNPPKGaNWsqMjJSY8eOVb9+/Wzqp6amqn///ho8eLD279+vKlWq6Mknn9Tly5c1ZcoUderUSVeuXLnjde/2uVj+fRcvXqyHH35YTzzxhK5cuaJ58+bplVdeSXfOjBkz9Morr2jt2rXy9fVV06ZNVbRoUa1cuVIvvviiVq1aZVPfbDbr//7v/zRw4EDt2LFDlSpVUr169XTu3Dl9+umn6tGjh5KSkhQQEKAaNWro2rVrdn+5cP78eW3atEk+Pj5q2LChJOnDDz/UiBEjdOjQIVWtWlWNGjWS2WzWggUL1K5dOx0/flzSrYDQokULa1svvPCCXnjhf+tHY2JiFBwcrM8//1wXL15UUFCQatasqfDwcA0ePFiDBw/O8rS97D7P3377Te3atdOKFStUtGhRNWnSRF5eXvrll1/Url27bH2ub968qZdfflkzZ87U5cuXFRQUpKCgIJ05c0ZTp05Vly5drGG9Q4cO1uvbC8XLly9Xamqq2rVrZzMFMKv3d6dnbvHqq69q1qxZ8vHx0RNPPKGkpCQtXbpUHTp00NWrV23qbtu2Ta1bt9b8+fPl5OSkxo0bq2zZslq/fr1CQkK0YMECm/q//PKLunfvrj/++EMlS5bUU089JW9vb61Zs0avvPKKfv311xx7nkbGdEcAAHJZWFiYnn/+eY0dO1YFChSQJM2bN0+jR4/We++9p9DQUBUqVChbbXp6emrChAnq27evzp07p+DgYLVr185aPnPmTEVFRalJkyaaOnWqnJ2dJd364fvLL7/UpEmTNHfuXOto2IQJE/Txxx/r6NGjat68ebpQcjsPDw81a9ZMK1eu1G+//abOnTvblFt2mmzbtq312Mcff6wdO3aoYcOG+vTTT1WsWDFJ0tWrV9WvXz9t3rxZkyZN0pAhQ7L1HHLKggULdPbsWb3wwgv69NNPZTKZJElnzpxRhw4dtGHDBu3Zs0c1atSQJM2aNUurV69W1apVNW3aNGsYTUxM1LBhw/TLL79o+PDh1tHIjNztczl48KACAwP13XffWYP6qVOn9OKLL+rw4cNau3atWrZsKUn6888/9dlnn8nNzU1Tp07VE088YW1n+fLlGjp0qIYMGaKAgABVqFBBkvTDDz9o1apV8vX11ddff62yZctKkuLi4vTqq69q+/bt+vbbb/X666+rQ4cO2rNnj5YuXarnnnvOpp9Lly61hgYHBwedO3dOCxYssAbEEiVKSLoVeocMGaIVK1bom2++0UcffaTmzZurXr16+u233yTd+hq93bvvvqsjR46obdu2Gj58uNzc3CRJ586d0+uvv66ff/5Z1apVy9IOoNl5nsePH9fgwYMl3Rp1fvrpp63t/P777xo4cKAGDhyo3377Td7e3ne89urVq3Xw4EHVrVtXc+bMsX5Wr169qpCQEB04cEBr1qxRy5YtVb58edWuXVs7duzQ2rVr0z3vJUuWyGQypduZMav3d6dnbhEXF6eff/5ZFStWlCRdunRJ7dq107lz57Ry5Uq9/PLL1nt46623FBcXp+HDhyskJMT62dq2bZt69+6tkSNHqlq1aqpSpYokacqUKTKbzfrqq69svlYXLFhg/UxZ/i3u9XkaGSNpAADkMm9vb40ZM8Ya0KRbUxsbNmyoy5cv3/E3w3ejUKFCevLJJ/XOO+9Yf0iRJJPJpJCQEEm3frBKTEy8q/YtgfDf0ybj4uK0YcMGubu7q3nz5pJujXgsX75c7u7uNkFEkooUKaJPPvlEzs7O+umnn/JtKpJlmpavr6/1h0hJKlWqlMaMGaPx48dbf7hNSkrS3LlzJUkTJ060BjRJcnFx0ahRo+Tp6ak1a9ZYR4XsudfnMnToUGufJKlMmTJq2rSppFtT8Sy+/vprSVK/fv1sfuiVpDZt2qhz585KSkrSN998Yz3+/fffS5I++ugja0CTbn1dDRkyRI888oguXLggSXruuefk7u6uv//+22a6m9ls1tKlS2UymfTiiy9a79lsNqtQoUI2G9E4OjpqwIABGj58uFq1apXhM7PYu3evNm/eLF9fX40cOdIa0CTJx8fHOjX3q6++umNbFll9nt9++61u3ryp1157zSagSdKzzz6rDh066MaNG/rxxx+zdF3LM/Px8bH5rBYpUkQfffSRPv74Y2uAkaTg4GBJspnaLEnbt2/X8ePHVbduXeuI+t3cX1a8/fbb1oAmSQ899JD1/xMOHjxoPb5o0SJdvnxZzz//vDp37mzz2apTp4569+6tlJQUzZkzx3rc8jz+fQ8dOnTQe++9pwEDBmQ6Qprd52lUhDQAAHJZ8+bN7e4oZwkxf//9d45f84033tDs2bNtFtXHx8dr3759+vnnn63H7nbaT7169VSyZEnt3r1bp0+fth7//fffdfPmTT377LNydXWVdOs35ikpKapSpYpNELHw8fFRpUqVlJiYqN27d99Vf+5VUFCQpFsjZP3799fy5cutIaRRo0Zq06aNdVTkwIEDunr1qkqVKqVy5cqla8vNzU1169aV2WzWli1bMrzmvTwXBwcH66je7SwjU5Y1Y6mpqdqxY4ck6fnnn7fbD8vxf/75R9KtIHXs2DG5ubmpQYMG6erXrl1boaGheu+996z3+/zzzystLU3Lly+31tu6datOnjypBg0ayNfXV9KtqbTFihWzjuJ8+eWXOnDggMxms0qVKqXOnTurdu3aGT4zC0tfH3vsMZtfflhUr15dnp6eOnfunI4dO3bH9rL6PKVb66UkqX79+nbbatKkiSRl+m9/O8vX3ooVK9SjRw8tWLBA0dHRkm7dX/v27W2C8rPPPqsiRYqkC8WLFy+W9L8pkXd7f1lh771kll9WxMXFWY9ZnpW9ryPpf8/K8u8p/e95dOrUSePHj9fmzZuVlJQkBwcHde3aVc2bN7cJe/+W3edpVEx3BAAgl2X0A0HJkiUlKcPF9vfq3Llz+umnn7Rt2zYdP35cly5dkiSbH3DudqttBwcHtW7dWjNnztQvv/yi3r17S/rfVMfbp15aNg/Ztm1bhuvcLM6ePStJGjNmjN31bn369Lmr3dxCQ0MVGhqa7nidOnX00ksvqUWLFjp06JBmz56t33//Xb///rskqXLlymrWrJk6duyo4sWL29zPmTNn7ng/t2+cklFZdp6LhZubm80ogYWT060f7dLS0iTdWouUlJSkggULWn8g/7cyZcpIuhXObv9fHx8fOThk7ff5L730khYsWKBly5apV69ekv4XGm6feufi4qJp06bp//7v/xQZGamJEydq4sSJeuihh9SoUSO9+OKLWXoxseXZLV++3CYY2nP27Fm7Yfp2WX2elvYkqWvXrlnq4/bt2zV//vx05eXLl1efPn1UvXp1DR8+XJ988on+/PNP/fnnn5Ju/f+G5WvP8m8k3XqGrVq10rx587R8+XL16tVL169f1++//64iRYpYf/lzt/eXFYULF053zLIGLiUlxXrM8qzee+89a6i358KFC0pOTpazs7NGjRqlt956S7t379acOXM0Z84cubq6ql69enr++efVsmXLTL8us/s8jYqQBgBALsvoBwpLQLL8oJSZ7L4PbfXq1Ro4cKCSk5Pl5eWl6tWry8/PT5UqVVLdunXVqFGjbLVnT7t27WxC2tmzZ7Vt2zaVKVPGZjTEcp/lypVTYGBgpm1apmOtXbvW+tvv23Xo0OGuQlpERES6qZnSrWf/0ksvSZIGDBigkJAQrV27Vps2bdKOHTt08OBBHTx4UHPnztXcuXMVGBhovR9vb2/VrVs30+taNmOx526ei0VmIwn2rpEZy9eWZUTK8kN2Vq8hSVWrVlXVqlUVHh6u3bt3q0KFCgoNDVXRokXVrFkzm7qPPfaY1q5dqz///FMbN27Uli1bdPz4cS1dulRLly5V7969NWDAgEyvZwkVVatWzfQZS/YDxb9l514t13722WftBh8LyxTMkydP2v3aq1u3rvr06SPp1rsIn3vuOa1bt05//vmn9RcrX331lb799ltNmzZNjRs3tp7boUMHzZs3zxqKf/vtNyUkJKh9+/Z2R+2zc39ZkdXwbnlWTz75pIoUKZJp3ZSUFDk7O8vb21sLFizQrl27FBYWps2bNys8PFxhYWEKCwvTwoUL9fXXX2f67LP7PI2IkAYAQC7LaKTMMk3QMk3I8oPU7b+Jtrh27VqWrxcfH69hw4YpOTlZH3zwQbq1ILGxsVluKzOPPPKIatWqpZ07dyoyMlIbNmyQ2WxWmzZtbK7n5eUl6dYP1BltRPBv69evz5E+WvTr1y/TzVAsvL291blzZ3Xu3FlpaWnavXu3JkyYoB07duizzz7TV199Zb2fUqVKZfl+7Lmb55JdRYsWVYECBXTz5k3FxMTYHU07efKkJFlHCi39OnfunMxms90f8H/88Ud5e3urcePG1hGUDh06KDw8XL/99psCAwOVmJiol156ye50xAIFCqhp06bWNVGWUd+ZM2fqyy+/VEhISKabbljuo2HDhncMdDnNy8tL0dHRGjBgQJamzbVr185mZDkjRYsW1Ysvvmhdv3fo0CFNmTJF69at0/jx421ChWVXzT179ujQoUPWjT7+vWFIfvPy8tKxY8fUrVs3Pf7449k6t2bNmqpZs6akW1vqr1mzRqNGjdKWLVuytPFHdp6nEbEmLZuOHz+uRx991LogNSss77250x/Lu28slixZkmn9jOaWAwCMxRJe/m316tWSbv2WWfrfb94ta6Fut3PnTrtt2/sB+vDhw4qLi1OxYsX08ssvp6vzxx9/WP9++zSnu/ltu+WHzzVr1ujXX3+VyWRSmzZtbOrUqVNHJpNJf//9t921L/Hx8WrVqpU6deqkqKiobPchJ7z//vt6/PHHreu3pFujBbVq1VL//v0l/W/qVrVq1eTq6qr9+/fbDeBms1ldunRRcHBwuvc63S4vnouTk5Nq1aolSem22bewHLes5SldurRKliypGzdu2O3/oUOH9NFHH+nDDz+02eb9hRdekJubm0JDQ7VmzRpJ6ddHrVu3Ts8884xGjBhhc9zHx0cDBgxQ6dKllZaWZn2uGX1NWkYw169fb/ezde7cOTVv3lxdunTJsV9KWFiek+Udhf/27bff6vnnn9ekSZOy1N7UqVPVqFGjdKNtlSpVsk4R/Pd0V+l/G4gsWrRIW7duVWBgoCpVqpTl+8hITo663elZhYaG6tlnn9XQoUMl3Zoi2qZNm3Sbx3h4eKht27bWqZyZTSO+2+dpNIS0bLh48aL69u2b7cWVDRo0sL5nwt4fyzflf091sLzkNCgoyO55lsWWAGBUhdwL3hd/cpvlN7i3/zA5e/Zs/fPPP3r44Yet08EsP2AtXLhQN27csNbdtWuXzc57t3NxcZFkO9Jm2YTiypUr2r59u039zZs32/yi8fZ3LVna+vd7jjJjeWfaokWLdPDgQdWpU8e6SYSFr6+vmjdvrsuXL2vAgAE2a82SkpL0wQcfKCIiQrGxsXecupZbfHx8dPHiRU2cONFmJ8W0tDT98ssvkm6tdZEkV1dXderUScnJyerXr5/NC5hTU1P16aefauvWrTpx4kSm0xjz6rm8+uqrkm5tbf7vTWqWL1+u+fPny9nZ2brrpyTrtvUffvihzQ+0165d04cffijpfyHBwsPDQy1atNCZM2e0Zs0aPfroozY7AEq3RoBOnDih5cuXp/vFw5YtW3T27Fm5u7tb7/f2qXu3f13WrVtX1apVU2RkpN5//32bz8v169f17rvv6sSJEypQoIDNLpI5oWvXrnJyctLUqVOtaxctduzYoSlTpujw4cPy9/fPUnu+vr46d+6cpk2blu4XNJZNfqpVq5buvJYtW8rDw0M//vijkpOT7W4YcjcyeuZ3Izg4WO7u7po/f75++OEHm/8PjIqK0ujRo3Xs2DHriGSpUqUUFxeniIgI6w6qFufPn7duRGL5LNpzt8/TaJjumEUHDx5U//79deLEiWyfa5lvbM+iRYu0cuVKVaxYUePGjbMps4S0Dz/8MN++aQHAvZgwKP1LUP+LSpYsqS+++EK//fabAgICFBUVpcOHD6tYsWKaOHGiNRx17NhRP/30kyIjI9W8eXPVqlVLFy9e1K5du/Tcc8/Z3fjCsiHCtGnTtGPHDrVu3VrNmjVT8+bNFRoaqldeeUWPPfaYihYtqmPHjikyMlLFihWTl5eXLly4oIsXL1qnlVm+1yxcuND64u1//yD+b7e/M01ShtO6Ro4cqZMnTyosLEzNmjVTYGCg3N3dtWfPHl26dEnFihXTlClTsv1b/F27dmU6jcrHx0dLliy5Yzuvvvqq1q5dqx07duipp55SjRo1VKBAAR08eFDR0dHy9va2mS45YMAARURE6K+//tJzzz2nwMBAeXp6Kjw8XGfOnJGLi4umTJliszW8Pbn1XG7XqFEj9evXT1OnTlX37t1Vo0YNlSpVSlFRUYqMjFSBAgU0atQom1GYbt26aefOnVq7dq2effZZ1a1bV46Ojtq1a5diY2P12GOPWd+xd7uXXnpJS5YsUVpamt2pd76+vurfv78+++wzhYSE6NFHH1WJEiUUExOj3bt3y2w2a+jQofLw8JB0a1qkr6+vTp8+rZdffllly5bVuHHj5O7ursmTJ6tr165avHix1q5dq8DAQDk6Omrnzp2Ki4vTww8/rDFjxtz1c8tIpUqVNGLECH344Yfq37+/ypcvLz8/P128eNF6DyEhIVme8dSqVSutWrVKf/75p55++mnVqlVLHh4eOnLkiKKiouTh4WF30w3Lrprz58+3/j0nZPbMs6tEiRKaNGmS+vfvr5EjR2rOnDkKCAhQXFycduzYodTUVD311FPWXyRItzYNeu211zR27FgtWLBAFSpUUHx8vHbs2KGEhAS1bt0607Wgd/s8jYaRtDu4evWqPv30UwUHB+vEiRPpfjt4LyIjIzVq1CgVLFjQ+pJJi9TUVEVERMjDw+OOOxIBAIzt6aeftv7AHhYWpuvXr6tjx45aunSpzW+EfXx8tGDBAj3//PNKTU3Vhg0bdP36dQ0bNkyffvqp3ba7deum559/XmazWX/88Yf27dsn6db7uwYNGqTy5ctr37592rhxo1JSUtS9e3etXLlSLVq0kCSb4Gd5l5Grq6v++OOPdKNwGbEEMzc3Nz3zzDN26xQtWlTz58/Xu+++q3Llymnfvn36559/VKxYMb366qs2L8bNjuTkZF28eDHDP1euXMlSO25ubtaXMxcvXlxbtmzRn3/+qQIFCujVV1/V8uXLbd6HVqBAAc2ePVujRo1SYGCgIiIi9Mcff6hAgQIKDg7Wzz//bJ3qlZncei7/9uabb2ru3Llq0qSJTp48qbVr1+rGjRtq3769lixZkm6KqqOjo6ZOnarRo0ercuXK2r59uzZt2iQvLy8NHDhQ33zzjd0NKqpUqSJXV1e5ublluGaoT58+mjBhgurUqaOjR49q3bp1OnXqlJ5++mn98MMP6UaEPvnkE1WuXFnHjh3T1q1brSOXZcqU0bJly9S3b1+VKFFC27dv186dO1W6dGm99dZbWrx4cZZeJn03goODrZ9Vy7sBo6OjVb9+fU2fPl3Dhw/PcluOjo6aNm2adY3bzp07tX79et28eVMdO3bUihUrVLlyZbvnWjboefbZZ63BNidk9MzvRuPGjbV8+XJ16NDB+v9TUVFRevTRRzVu3DhNnTrVZhOQoKAg/fDDD3rmmWcUFxen9evXa+/evQoMDNT48eM1fvz4TK93L8/TSEzmu9179z9i6tSpmjZtmnx8fDRixAiFh4dr2rRpeuWVVzRs2LB7artz587avn27Bg0apNdff92mLDIyUi+88ILq1q2refPm3dN18ktSUpL1h4XbVatWze4i4nvV66PFirtx884VgftEIfeCmjUidxaBZ/fzmZKSosOHD9scq1ixYpZ2Jfwvs3wPyYnvGcD9YPXq1Xrrrbf00ksvaeTIkfndnQde7969FRYWpvnz51s32cC9M8L3PL673oGPj48GDx6skJAQubi4WKcg3qsVK1Zo+/btKl++vLp165au/MCBA5Ju7TI1fvx4hYWF6cyZMypWrJiaNGli/a3R/SglJSVHFqVmtvUq8KC62xcP/5u93QMB4G4kJibKxcVFp0+f1qRJk2QymfTyyy/nd7ceWJbnvWLFCm3YsEHVqlUjoD2ACGl3kFOLMG+XmpqqKVOmSJLeeustu2Fj//79kqSVK1fKw8NDderUUcmSJRUeHq6ffvpJa9as0bfffqsKFSrkeP9y28GDB++5DScnJ9WoUSMHegPcXw4cOEDAAmAoc+fO1RdffKGkpCSZzWYFBwdnedMMZF/r1q119uxZ3bx5Uw4ODhoyZEh+dwm5gJCWD1avXq1Tp07J398/w7n7lpG0p59+WuPGjbPOM46Li9OwYcO0evVq9e/fXytWrLDZ/hYAACAvVapUSc7OznJxcdELL7ygwYMH53eXHmg1a9ZUdHS0ypYtq//7v//TY489lt9dQi4gpOUDyzbKffr0yXDa35w5c3T69Gk9/PDDNutDChUqpDFjxmjXrl06cuSINm3apEaNGuVJvwEA2ZPVFygD97PGjRvbvF8OuWvcuHHpdgTHg4fdHfPYyZMntXfvXhUpUsT6Xhx7XFxcVKFCBbsL+D08PFSvXj1JsrvwHwAAAMD9i5G0PGZ56eGzzz57TzsclixZUpKy/WJtI6hcuTKbfgB3qUqVKjnSTnJyco6sDwUAADmPkJbHNm7cKEnW99PYc+HCBX3++ee6evWqJk+ebHe7z7Nnz0r6X1i7nzg5ORHSgLuUU58d3r4CAIBxEdLyUEpKisLDw+Xo6KhHH300w3qFChXSypUrlZiYqC1btujxxx+3Kb969ao2bNggk8mkhg0b5nKvAUB2188S9AAADyJ7399y4vVR2cGatByUnJysqKgoRUVF2X2X0ZEjR5SQkKAKFSrI1dU1w3ZcXFzUrl07SdLIkSMVHR1tLbt69areeustXbt2Ta1bt9YjjzyS8zcCAP/i4OCQ7htUYmJiPvUGAIDc8+/lRCaTSQ4OeRubGEnLQefPn1fLli0lSevWrZOvr69N+enTpyVJXl5ed2xr4MCBOnDggHbv3q2WLVuqVq1acnFx0bZt2xQXF6fatWtr+PDhOX8TAGCHyWSSq6ur4uPjrcfOnz/P9GUAwAMlOTlZMTExNsdcXV3zfCSNkJaHLl++LEkqXLjwHet6eHho3rx5mjdvnlauXKmdO3fKwcFB5cqVU6tWrdS5c2d+MAKQp9zd3W1CWnJyso4fP55/HQIAIA+4u7vn+TVNZhYVIJckJSXZfUVAtWrV7mlny4z0+mix4m7czPF2gfxSyL2gZo1onytt383nMzU1VceOHbM7nRsAgAeRs7OzypUrJ0dHxzy9LmvSAABZ4ujoKF9f3zyf8gEAQH4wmUzy9fXN84AmMd0RAJANLi4u8vPzU2xsrGJjY5WamprfXQIAIEc5OjqqaNGiKlq0aK7M/soKQhoAIFsKFCigEiVKyMvLS2azWWlpafndJQAAcoRlN+P8njVCSAMA3BXLN7G83pYYAIAHHd9ZAQAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBAnPK7A/eb48ePq02bNurQoYOGDRuW5fNOnTqlZs2aZVpn8+bN8vT0tDn2999/a/bs2Tp06JASExPl5+enjh07qn379jKZTHd1DwAAAACMi5CWDRcvXlTfvn2VkJCQ7XPDw8MlSRUqVFDlypXt1ilYsKDNf//www8aOXKknJ2dFRQUJGdnZ/3zzz96//33tX37do0fPz77NwEAAADA0AhpWXTw4EH1799fJ06cuKvzLSGtS5cu6tix4x3rHz16VKNHj1bhwoU1b948VapUSZJ05swZde3aVcuXL1ejRo3UsmXLu+oPAAAAAGNiTdodXL16VZ9++qmCg4N14sQJ+fr63lU7Bw4ckCQFBgZmqf7s2bOVlpam1157zRrQJKlUqVIaPny4JGnOnDl31RcAAAAAxkVIu4PvvvtOX331lTw9PTVjxgy1adPmrtoJDw+Xs7Oz/P39s1R/w4YNkqTmzZunK2vQoIEKFy6sffv26eLFi3fVHwAAAADGxHTHO/Dx8dHgwYMVEhIiFxcX67TF7Dhz5oyuXLmiihUrasGCBVq2bJmOHTumAgUK6LHHHlPv3r1VrVo1a/2LFy/q8uXLKliwoMqVK5euPUdHR/n5+Wn37t2KiIhQ8eLF7+ke81pKSkqObHri7OycA70B7i/Jyck50k5KSkqOtAMAAHIeIe0OOnTocM9tWILd4cOHNXbsWNWuXVv16tXToUOHtHbtWm3cuFHjx4/Xc889J0k6f/68JMnLyyvDMOPl5SVJunDhwj33L68dPHjwnttwcnJSjRo1cqA3wP3lwIEDBCwAAB5whLQ8YAlpfn5+mjFjhsqWLStJSktL05dffqnJkydr6NChql69usqUKWPdPdLV1TXDNi07Qd64cSN3Ow8AAAAgT7EmLQ+8+eabWrt2rX744QdrQJMkBwcH9e7dW02aNNHNmzc1f/586/GsMpvNOd1dAAAAAPmIkJYHnJycVKZMmXQvqrZo2rSpJGnfvn2SJHd3d0lSYmJihm3evHlTkuTm5paTXQUAAACQz5juaAAlS5aUJOs0R29vb0nKdOfGmJgYSVKJEiVyuXc5r3Llymz6AdylKlWq5Eg7ycnJObI+FAAA5DxCWh4YP368Tp8+rTfffFMBAQHpys+ePSvpf2GtaNGi8vb21vnz53Xq1CmVKVPGpn5qaqqOHj0qSVne0t9InJycCGnAXcqpzw5TpQEAMC6mO+aB/fv3KzQ0VL/++qvd8hUrVkiSnnzySeuxxo0bS5JCQ0PT1f/rr78UFxenqlWr3pcjaQAAAAAyRkjLQcnJyYqKilJUVJTNu4xCQkIkSXPmzNHmzZutx1NTU/XJJ59o69atKlu2rFq1amVzjpOTk2bMmKG9e/daj585c0ajRo2SJPXu3Tu3bwkAAABAHmO6Yw46f/68WrZsKUlat26dfH19JUktWrTQ9u3b9f3336t79+6qUaOGvL29tX//fkVHR8vLy0tffPGFChQoYG2rUqVKGjBggD799FN16tRJdevWVcGCBbVlyxbFx8erY8eOat68eb7cJwAAAIDcQ0jLIx988IHq1q2rH374QQcOHFB4eLhKliyp7t27q2fPnnZ3fuzRo4fKlSunuXPnas+ePTKZTCpfvrw6d+6s1q1b58NdAAAAAMhtJjOrx5FLkpKSrK8VuF21atVsRg1zSq+PFivuxs0cbxfIL4XcC2rWiPa50nZefz4BAEDWsSYNAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMBBCGgAAAAAYCCENAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMBBCGgAAAAAYCCENAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMBBCGgAAAAAYCCENAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMBBCGgAAAAAYCCENAAAAAAyEkAYAAAAABkJIAwAAAAADIaQBAAAAgIEQ0gAAAADAQJzyuwP3m+PHj6tNmzbq0KGDhg0blq1zN2zYoO+//1779+/X9evXVaRIEdWuXVs9evRQ9erV09WfMmWKpk+fnmF7jRs31qxZs7J9DwAAAACMi5CWDRcvXlTfvn2VkJCQ7XMnTZqkWbNmyWQyqWrVqvLx8dHRo0e1evVqrVu3Th9//LHatGljc054eLgkqUmTJvLw8EjXZpUqVe7qPgAAAAAYFyEtiw4ePKj+/fvrxIkT2T53+/btmjVrltzc3DR79mw99thj1rL58+drxIgRGj58uOrVqycfHx9rWXh4uBwdHTV58mS5urrmyH0AAAAAMDbWpN3B1atX9emnnyo4OFgnTpyQr69vtttYvHixJKlHjx42AU2SOnbsqEaNGunmzZtavXq19XhMTIwuXLig8uXLE9AAAACA/xBC2h189913+uqrr+Tp6akZM2akm5KYFS4uLvL391dQUJDdcj8/P0m3gpmFZapjYGBg9jsNAAAA4L7FdMc78PHx0eDBgxUSEiIXFxdreMqODz/8MNPyPXv2SJJKlixpPWa5TuHChfXBBx/on3/+0blz5+Tj46NnnnlGvXr1UqFChbLdFyNISUmRyWS653acnZ1zoDfA/SU5OTlH2klJScmRdgAAQM4zdEgzm826fPmyLl26pGvXrqlgwYIqXry4TZjJbR06dMjV9tevX6+dO3fK2dlZzZo1sx63hLS5c+fK09NTNWvWlI+Pj/bv36/Zs2drzZo1mjdvnkqUKJGr/csNBw8evOc2nJycVKNGjRzoDXB/OXDgAAELAIAHnOFCWkxMjFavXq2//vpL27ZtU3x8fLo6Li4uqlWrlho1aqTnnntODz30UD709N5FRERo6NChkm6tV7t905ADBw5Ikjp16qT33ntPBQoUkCSdP39e//d//6ft27dr6NCh+vrrr/O+4wAAAAByjWFCWlRUlKZPn67Q0FClpqbKbDZnWDchIUF//fWX/v77b33yySdq06aNevXqpTJlyuRhj+/N3r171bNnT8XGxqpJkybq16+fTfmqVasUHR0tf39/m6mB3t7emjBhglq0aKFNmzYpKipK5cuXz+vuAwAAAMgl+R7S4uLiNGHCBC1evFipqany8PBQvXr1VLt2bfn7+6tcuXIqXLiwXF1ddfXqVV25ckXnz5/Xzp07tWPHDu3atUuLFy/W8uXL1a5dO7377rt23ylmJL///ruGDBmihIQENW/eXBMnTpSjo6NNHQ8PDwUEBNg9v2TJkqpSpYp27Nihffv2EdIAAACAB0i+hrS//vpLQ4YM0YULF1SvXj117NhRTZs2zXBDCE9PT3l6eqp8+fJq0KCBJOn69ev6+eeftWjRIi1cuFCbNm3SmDFjVK9evby8lSybPn26pk6dKrPZrJdfflnDhg2Tg0P2N9m0rMuzNx3U6CpXrsymH8BdyqmX2CcnJ+fI+lAAAJDz8jWk9ejRQ9WrV9dnn32m2rVr31UbHh4e6ty5szp37qy///5b48eP16uvvmpd02UUaWlpeu+997Rs2TI5OjpqyJAheuWVV+zWPXLkiL7++ms5ODjo448/tlvn7NmzkpSnm6jkFCcnJ0IacJdy6rOT2ZRyAACQv/I1pI0bN06tW7fOsfYaNGig5cuXa9myZTnWZk55//33tWzZMrm6umry5Mlq0qRJhnVdXFy0dOlSSdLrr7+usmXL2pQfP35cu3fvlpubm+rUqZOb3QYAAACQx/L1ZdY5GdAsTCaT2rVrl+PtZkVycrKioqIUFRVl8y6j5cuXa8mSJXJ0dNSMGTMyDWiS5Ovrq0aNGkmShgwZosuXL1vLzp07p7feekupqanq3r274dffAQAAAMiefN845N9iY2NVtGjRLNdfvXq1nnnmmdzrUDacP39eLVu2lCStW7dOvr6+Sk1N1WeffSZJKl68uJYsWaIlS5bYPb9hw4bW4Dp69Gh16dJFu3btUvPmzVWzZk1J0tatW5WYmKhnnnlGffv2zf2bAgAAAJCnDBfSWrdurQkTJtxxGt+NGzc0cuRIrVixwtCL3yMiIqzrx86fP6+VK1dmWLdYsWLWkFaiRAktWbJEX331lUJDQ/XPP//I2dlZVapUUYcOHdS2bVubrfkBAAAAPBhMZoOtHq9UqZIcHR3Vq1cvvfnmm3Z3Pty+fbsGDx6sM2fOSJKhQ9p/WVJSkvbt25fueLVq1awv585JvT5arLgbN3O8XSC/FHIvqFkj2udK23n9+QQAAFmXr2vS7Gnbtq1SU1M1Y8YMdenSRefOnbOWpaSkaOLEieratauio6NVrFgxTZ48OR97CwAAAAA5y3AhbezYsZo0aZIKFSqkHTt2qHXr1lqzZo2ioqIUHBysr776SqmpqXruuee0atUqPfvss/ndZQAAAADIMYZbkyZJLVu2VM2aNfXuu+9q27Zteuutt+Tk5KTk5GR5eXlpxIgRatasWX53EwAAAABynOFG0ixKliypGTNmyM/PT9Kt7e0dHR01ZswYAhoAAACAB5ZhQ9rGjRv1wgsv6NixYzKZTCpZsqRSU1PVu3dvTZgwQUlJSfndRQAAAADIcYYLadeuXdO7776r3r176+zZsypZsqS+++47/f777+rUqZNSU1P19ddfq23bttq7d29+dxcAAAAAcpThQlrLli21cuVKmc1mtWrVSitWrNBjjz2mggULasSIEZo1a5YeeughRUVFqVOnTvrkk0/yu8sAAAAAkGMMF9IuXryowoULa9KkSfrkk0/k4eFhU96oUSOtXLlSzZo1U2pqqr755pt86ikAAAAA5DzDhbR69eppxYoVatmyZYZ1ihUrpmnTpmnUqFFydXXNw94BAAAAQO4y3Bb8c+fOzXLdDh06qF69ernXGQAAAADIY4YbScuuMmXK5HcXAAAAACDHGG4kbejQodmqbzKZNGbMmFzqDQAAAADkLcOFtGXLlslkMslsNqcrM5lMNv9tNpsJaQAAAAAeKIYLaW3atEkXxizi4+MVExOj/fv3KyUlRd27d5efn18e9xAAAAAAco/hQtq4cePuWOfcuXPq27evli9frhUrVuRBrwAAAAAgb9yXG4f4+Pho0qRJunr1qqZNm5bf3QEAAACAHHNfhjRJKlu2rPz8/LRx48b87goAAAAA5Jj7NqRZXLp0Kb+7AAAAAAA55r4NaTt37tSRI0fk5eWV310BAAAAgBxjuI1DFi9enGGZ2WxWUlKSjh07Zt2qv1GjRnnYOwAAAADIXYYLae+//36GW/Dfzmw2q3jx4urdu3ce9AoAAAAA8obhQlqpUqUyLXdyclKxYsVUq1YtdevWTd7e3nnUMwAAAADIfYYLaevXr8/vLgAAAABAvrlvNw4BAAAAgAcRIQ0AAAAADCRfpzt27tz5ntswmUz6/vvvc6A3AAAAAJD/8jWk7dix457byMpOkAAAAABwv8jXkPbmm2/m5+UBAAAAwHAIaQAAAABgIGwcAgAAAAAGkq8h7c0339TkyZPzswsAAAAAYCj5Ot1x7dq1unLlSobly5cv10MPPaSGDRvmYa8AAAAAIP8YerrjkCFDNGvWrPzuBgAAAADkGUOHNEkym8353QUAAAAAyDOGD2kAAAAA8F9CSAMAAAAAAyGkAQAAAICBENKy6fjx43r00Uf18ccfZ/vc8+fPa8SIEXr66adVrVo1NWnSRKNGjdLly5czPGffvn3q06ePGjZsqBo1auj555/X7NmzlZycfC+3AQAAAMCgCGnZcPHiRfXt21cJCQnZPvfkyZN68cUXNX/+fLm4uKhJkyZydHTU999/rzZt2ujs2bPpzlm3bp06duyoDRs2qGzZsnriiScUExOjCRMm6PXXXyeoAQAAAA8gQloWHTx4UCEhIYqKirqr8wcPHqwLFy6oX79+WrlypaZMmaLVq1erY8eOOn/+vIYPH25TPzY2Vu+8845MJpO+/vprzZs3T9OnT1doaKhq1KihzZs3a+7cuTlwZwAAAACMJF9fZi1JO3fuVOXKle2WmUymTMstdQ4cOJBb3dPVq1f15Zdf6rvvvlNSUpJ8fX11+vTpbLWxbds27dy5U35+furbt6/1uKOjo95//3398ccf+uOPP3TkyBFVqFBBkvT999/rxo0bCg4OVoMGDaznFC1aVGPHjlXLli317bff6rXXXpODA1kbAAAAeFDk+0/3ZrP5nv/kpu+++05fffWVPD09NWPGDLVp0ybbbYSFhUmSmjVrli5QOTs7q2nTppKk9evXW49v2LBBktS8efN07ZUvX17+/v66cOGC9u3bl+3+AAAAADCufB1JGzt2bH5ePkt8fHw0ePBghYSEyMXFReHh4dluIzIyUpIUEBBgt9wyehYREWE9dvjw4UzPqVixoiIjIxUREaEaNWpku0/5KSUlRSaT6Z7bcXZ2zoHeAPeXnFqLmpKSkiPtAACAnJevIa1t27b5efks6dChwz23cf78eUmSt7e33XIvLy9J0oULFyTdWo+WmJgoBwcHlShRItNzYmJi7rl/ee3gwYP33IaTk9N9F06BnHDgwAECFgAAD7h8n+74X2DZDdLFxcVuueV4fHx8lurbOwcAAADAgyFfQ9qKFStypd1ly5blSrt3y9HRMUv10tLSJClbG4Hk9po8AAAAAHkrX0Pa4MGD1bFjR+3cuTNH2tu8ebPatm2rYcOG5Uh7OcXd3V2SdPPmTbvliYmJNvXuVP/2c9zc3HKsnwAAAADyX76uSfvyyy81dOhQde7cWfXr19dLL72kpk2byskp6926fv26VqxYoUWLFunQoUPy9vbWV199lYu9zr4SJUooPDw8w/VjluOW9WceHh7y8PDQ9evXdenSJT300EN3POd+UrlyZTb9AO5SlSpVcqSd5OTkHFkfCgAAcl6+hrSGDRvq119/1YQJE7R48WJt3rxZ7u7uatCggWrVqiV/f389/PDDKly4sFxcXBQXF6crV67o3Llz2rVrl3bs2KHdu3fr5s2bcnBw0IsvvqjBgwerUKFC+Xlb6QQEBCgsLExHjhyxW245fvtOjv7+/tq5c6cOHz5sN6TZO+d+4eTkREgD7lJOfXaYKg0AgHHl+8usCxcurJEjR6pLly6aNm2a1q1bp9DQUK1Zs+aO55rNZjk5OalNmzbq06ePHn744TzocfY1btxYM2fO1Jo1a9SvXz+b7eeTk5O1bt06a73bz9m5c6dCQ0NVr149m/aioqIUGRmp4sWLKzAwME/uAQAAAEDeMMzujhUrVtTnn3+udevW6b333lOjRo3k5uZm9+XVrq6uatCggYYMGaINGzZo7NixhghoycnJioqKUlRUlM27jGrWrKnq1asrMjJSn332mfU32Kmpqfr444919uxZNWnSRP7+/tZz2rVrJw8PDy1cuND6Mmzp1vb87733niSpR48e2ZoaCgAAAMD4DPcTvre3t1555RW98sorMpvNunLlii5fvqyrV6+qYMGC8vLyyvB9Y/nt/PnzatmypSRp3bp18vX1tZaNGzdOnTt31syZMxUaGqqKFSvq4MGDOnnypHx9fTVy5Eibtry8vDRy5EgNGjRIffr0Ua1ateTp6alt27YpNjZWTZo0UZcuXfL0/gAAAADkPsOFtNuZTCZ5enrK09Mzv7tyz8qXL68lS5Zo2rRp+vPPPxUWFqaSJUvqlVdeUe/eve2uO3vuuefk7e2tWbNmaffu3UpJSVGZMmXUp08fhYSEMIoGAAAAPIBMZlaPI5ckJSVp37596Y5Xq1ZNBQoUyPHr9fposeJuZPzaAuB+U8i9oGaNaJ8rbef15xMAAGSd4YZihg4dmuW6Tk5OcnFxkZeXl6pUqaL69etn+cXRAAAAAGBEhgtpy5Yts9n90N5A37/LLf9dvnx5ffbZZ6pQoULudxQAAAAAcoHhQtrYsWO1Zs0arV+/Xi4uLmratKmqVasmd3d33bhxQxEREVqzZo2uX7+uSpUqqXr16rp69aq2bt2qI0eOqGfPnlq2bJmKFCmS37cCAAAAANlmuJBWoUIFffDBB6pYsaJmzZqlUqVKpaszaNAg9e3bVxERERo/frwCAgKUmJiogQMHav369frxxx/Vp0+ffOg9AAAAANwbw7wnzeKLL75QWlqapkyZYjegSdJDDz2kyZMnKzk5WdOnT5ckubi4aOTIkXJ0dMzSi7ABAAAAwIgMF9J27typChUqqFy5cpnWK1WqlCpWrKgtW7ZYjz300EN6+OGHFR0dndvdBAAAAIBcYbiQlpycbHezEHtSU1N186btluuurq5KSkrKja4BAAAAQK4zXEh7+OGHFRUVpcjIyEzrRUVF6ciRI/L19bUeS01N1enTp+Xj45Pb3QQAAACAXGG4kNa6dWulpaWpX79+OnLkiN06x44dU79+/SRJzz77rPX4t99+q6tXr6patWp50lcAAAAAyGmG292xU6dO+vXXX7Vv3z61atVKtWvXVkBAgNzd3XX9+nVFRERo165dSk1NVcWKFdWjRw9J0oABA/T777/LZDKpa9eu+XwXAAAAAHB3DBfSXFxcNHv2bI0aNUqrVq3Stm3btH37dmu5Zb1as2bNNGrUKLm4uEiS9u3bJycnJw0cOFBVq1bNl74DAAAAwL0yXEiTpKJFi2rixInq27ev1q5dq8jISMXGxsrV1VX+/v56+umnVblyZZtzRo4cqcqVK6tYsWL51GsAAAAAuHeGDGkW5cuXV/ny5bNUt0GDBrncGwAAAADIfYYOaWfOnFFYWJiOHTumGzduyN3dXWXLllXDhg31yCOP5Hf3AAAAACDHGTKkpaamavz48frxxx+Vmpoq6dZaNJPJJEkymUx66aWXNHToUBUoUCA/uwoAAAAAOcqQIW3QoEH6/fffZTab5e3trSpVqsjDw0PXrl3TgQMHdOHCBc2fP1+xsbGaPHlyfncXAAAAAHKM4ULamjVr9Ntvv8nd3V2jRo1Sy5YtbcrNZrN++eUXjRgxQr///rtatWqlJk2a5FNvAQAAACBnGe5l1gsXLpTJZNKYMWPSBTTp1lTHF154QWPHjpXZbNbixYvzoZcAAAAAkDsMF9L279+vEiVK6Jlnnsm03jPPPKMSJUpo//79edQzAAAAAMh9hgtpcXFx8vb2zlJdHx8fXb58OZd7BAAAAAB5x3AhrWjRojp16tQd65nNZp06dUpFihTJg14BAAAAQN4wXEirWbOmYmNjNX/+/Ezr/fTTT7py5Ypq1qyZRz0DAAAAgNxnuJAWEhIis9ms0aNHa/bs2bpx44ZN+Y0bN/Tll19qzJgxMplMCgkJyaeeAgAAAEDOM9wW/PXr11fnzp31ww8/aNKkSfr8889VtmxZeXh46Pr16zp+/LhSU1NlNpsVEhKi+vXr53eXAQAAACDHGC6kSdIHH3yg0qVLa+bMmbp27ZqOHDliU16kSBH17NlTr732Wj71EAAAAAByhyFDmiS9+uqrevnll7V9+3YdPXpU169fl7u7u/z8/FS7dm25uLjkdxcBAAAAIMcZNqRJUoECBdSgQQM1aNAgv7sCAAAAAHkiX0Na48aN77kNk8mksLCwe+8MAAAAABhAvoa0c+fO3XMbJpMpB3oCAAAAAMaQryFt7Nix+Xl5AAAAADCcfA1pbdu2zc/LAwAAAIDhGO5l1gAAAADwX0ZIAwAAAAADIaQBAAAAgIEQ0gAAAADAQAhpAAAAAGAghDQAAAAAMJB83YL/fnHs2DFNnz5dO3bs0KVLl+Tj46MWLVqoZ8+ecnd3z1IbXbp00datW+9Yr3Tp0lq/fr31v5csWaL33nsvw/oVK1bUL7/8kqU+AAAAADA+Qtod7N27V127dlV8fLxq1KihatWqaefOnZo5c6bWr1+vH3/8UYUKFbpjOw0aNJC3t3eG5evWrVN8fLwCAwNtjoeHh0uSgoKCVKJEiXTnlSxZMpt3BAAAAMDICGmZSE5O1ttvv634+HiNGzfO+vLtxMREDRgwQOvXr9fEiRP14Ycf3rGtPn36ZFi2aNEirVy5UhUrVtS4ceNsyiwh7cMPP5Sfn9/d3wwAAACA+wJr0jKxatUqRUdH6/HHH7cGNElycXHRmDFj5ObmpsWLF+vatWt3fY3IyEiNGjVKBQsW1GeffSY3NzdrWWpqqiIiIuTh4aFy5crd070AAAAAuD8Q0jIRFhYmSWrevHm6smLFiikoKEjJycnatGnTXV/jo48+0s2bN9WvXz9VqFDBpiwqKkoJCQmqUqWKTCbTXV8DAAAAwP2D6Y6ZiIyMlCQFBATYLa9YsaLCwsIUERGhli1bZrv9FStWaPv27Spfvry6deuWrvzAgQOSJG9vb40fP15hYWE6c+aMihUrpiZNmqhv375216kZXUpKSo6ETmdn5xzoDXB/SU5OzpF2UlJScqQdAACQ8whpmTh//rwkZbjhh5eXlyQpJiYm222npqZqypQpkqS33nrLbuDYv3+/JGnlypXy8PBQnTp1VLJkSYWHh+unn37SmjVr9O2336YbgTO6gwcP3nMbTk5OqlGjRg70Bri/HDhwgIAFAMADjpCWiYSEBEm31qDZYzkeHx+f7bZXr16tU6dOyd/fX88884zdOpaRtKefflrjxo2Th4eHJCkuLk7Dhg3T6tWr1b9/f61YsUKOjo7Z7gMAAAAA4yGkZcLR0VFpaWl3rGc2m7Pd9jfffCPp1q6PGU39mzNnjk6fPq2HH35YBQoUsB4vVKiQxowZo127dunIkSPatGmTGjVqlO0+AAAAADAeNg7JhOVF1Tdv3rRbnpiYKEk2OzJmxcmTJ7V3714VKVJEzZo1y7Cei4uLKlSoYBPQLDw8PFSvXj1J0r59+7J1fQAAAADGxUhaJkqUKKHY2FhduHDB7kujLWvRsrt5x++//y5JevbZZ+0GsKyy9MkyLfN+UblyZTb9AO5SlSpVcqSd5OTkHFkfCgAAch4hLRMBAQGKjIzU4cOHVb169XTlR44csdbLjo0bN0qSWrRokWGdCxcu6PPPP9fVq1c1efJkOTml/6c6e/asJNkNkEbm5ORESAPuUk59du5mmjYAAMgbTHfMROPGjSVJoaGh6cquXLmiLVu2qGDBgqpfv36W20xJSVF4eLgcHR316KOPZlivUKFCWrlypUJDQ7Vly5Z05VevXtWGDRtkMpnUsGHDLF8fAAAAgLER0jLRrFkzlS5dWhs2bND8+fOtxxMTEzVs2DDFx8crODhYnp6e1rLk5GRFRUUpKirK7vuMjhw5ooSEBFWoUEGurq4ZXtvFxUXt2rWTJI0cOVLR0dHWsqtXr+qtt97StWvX1Lp1az3yyCM5cbsAAAAADIDpjplwcXHR+PHj1aNHD40YMUILFy6Ur6+vdu3apZiYGAUGBmrAgAE255w/f976Yut169bJ19fXpvz06dOS/veOtcwMHDhQBw4c0O7du9WyZUvVqlVLLi4u2rZtm+Li4lS7dm0NHz48h+4WAAAAgBEQ0u6gTp06WrRokaZNm6atW7fqyJEj8vX1VXBwsLp3727dATKrLl++LEkqXLjwHet6eHho3rx5mjdvnlauXKmdO3fKwcFB5cqVU6tWrdS5c2fWdgEAAAAPGJOZ1ePIJUlJSXZfD1CtWrV72tUyI70+Wqy4G/ZflwDcjwq5F9SsEe1zpe28/nwCAICsY00aAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgRDSAAAAAMBACGkAAAAAYCCENAAAAAAwEEIaAAAAABgIIQ0AAAAADISQBgAAAAAGQkgDAAAAAAMhpAEAAACAgTjldwfuB8eOHdP06dO1Y8cOXbp0ST4+PmrRooV69uwpd3f3LLdz6tQpNWvWLNM6mzdvlqenp82xv//+W7Nnz9ahQ4eUmJgoPz8/dezYUe3bt5fJZLqrewIAAABgTIS0O9i7d6+6du2q+Ph41ahRQ9WqVdPOnTs1c+ZMrV+/Xj/++KMKFSqUpbbCw8MlSRUqVFDlypXt1ilYsKDNf//www8aOXKknJ2dFRQUJGdnZ/3zzz96//33tX37do0fP/7ebhAAAACAoRDSMpGcnKy3335b8fHxGjdunNq2bStJSkxM1IABA7R+/XpNnDhRH374YZbas4S0Ll26qGPHjnesf/ToUY0ePVqFCxfWvHnzVKlSJUnSmTNn1LVrVy1fvlyNGjVSy5Yt7+4GAQAAABgOa9IysWrVKkVHR+vxxx+3BjRJcnFx0ZgxY+Tm5qbFixfr2rVrWWrvwIEDkqTAwMAs1Z89e7bS0tL02muvWQOaJJUqVUrDhw+XJM2ZMyertwMAAADgPsBIWibCwsIkSc2bN09XVqxYMQUFBSksLEybNm3K0mhWeHi4nJ2d5e/vn6Xrb9iwIcPrN2jQQIULF9a+fft08eJFFS9ePEttGkFKSkqOrKVzdnbOgd4A95fk5OQcaSclJSVH2gEAADmPkJaJyMhISVJAQIDd8ooVKyosLEwRERF3DGlnzpzRlStXVLFiRS1YsEDLli3TsWPHVKBAAT322GPq3bu3qlWrZq1/8eJFXb58WQULFlS5cuXStefo6Cg/Pz/t3r1bERER91VIO3jw4D234eTkpBo1auRAb4D7y4EDBwhYAAA84JjumInz589Lkry9ve2We3l5SZJiYmLu2JZlPdrhw4c1duxYubu7q169enJzc9PatWvVqVMnrVq1Kt21vby8Mhx1slz/woULWbwjAAAAAEbHSFomEhISJN1ag2aP5Xh8fPwd27KEND8/P82YMUNly5aVJKWlpenLL7/U5MmTNXToUFWvXl1lypSxXtvV1TXDNi07Qd64cSNrNwQAAADA8BhJy4Sjo2OW6pnN5jvWefPNN7V27Vr98MMP1oAmSQ4ODurdu7eaNGmimzdvav78+dbjWZWV6wMAAAC4PzCSlgl3d3fFxsbq5s2bdssTExMlSW5ubndsy8nJSWXKlMmwvGnTpgoLC9O+ffus1779GvZY+pWV6xtJ5cqV2fQDuEtVqlTJkXaSk5NzZH0oAADIeYS0TJQoUUKxsbG6cOGCSpYsma7cshatRIkS93wtS/uWaY6WdXAXL17M8JycvH5ecnJyIqQBdymnPjuMwAMAYFxMd8yEZVfHw4cP2y0/cuSITb3MjB8/Xv369VNERITd8rNnz0r6X1grWrSovL29lZCQoFOnTqWrn5qaqqNHj0pSlrf0BwAAAGB8hLRMNG7cWJIUGhqaruzKlSvasmWLChYsqPr169+xrf379ys0NFS//vqr3fIVK1ZIkp588sksXf+vv/5SXFycqlatet+NpAEAAADIGCEtE82aNVPp0qW1YcMG64Ye0q11YsOGDVN8fLyCg4Pl6elpLUtOTlZUVJSioqJsXjobEhIiSZozZ442b95sPZ6amqpPPvlEW7duVdmyZdWqVSubc5ycnDRjxgzt3bvXevzMmTMaNWqUJKl37945f+MAAAAA8g1r0jLh4uKi8ePHq0ePHhoxYoQWLlwoX19f7dq1SzExMQoMDNSAAQNszjl//rz1xdbr1q2Tr6+vJKlFixbavn27vv/+e3Xv3l01atSQt7e39u/fr+joaHl5eemLL75QgQIFrG1VqlRJAwYM0KeffqpOnTqpbt26KliwoLZs2aL4+Hh17NhRzZs3z7sHAgAAACDXEdLuoE6dOlq0aJGmTZumrVu36siRI/L19VVwcLC6d+9u3YUxKz744APVrVtXP/zwgw4cOKDw8HCVLFlS3bt3V8+ePW1G5Cx69OihcuXKae7cudqzZ49MJpPKly+vzp07q3Xr1jl5qwAAAAAMwGRmiy/kkqSkJOsrBW5XrVo1mxHDnNLro8WKu2H/dQnA/aiQe0HNGtE+V9rO688nAADIOtakAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGIhTfnfgfnDs2DFNnz5dO3bs0KVLl+Tj46MWLVqoZ8+ecnd3z1ZbGzZs0Pfff6/9+/fr+vXrKlKkiGrXrq0ePXqoevXq6epPmTJF06dPz7C9xo0ba9asWdm+JwAAAADGREi7g71796pr166Kj49XjRo1VK1aNe3cuVMzZ87U+vXr9eOPP6pQoUJZamvSpEmaNWuWTCaTqlatKh8fHx09elSrV6/WunXr9PHHH6tNmzY254SHh0uSmjRpIg8Pj3RtVqlS5Z7vEQAAAIBxENIykZycrLffflvx8fEaN26c2rZtK0lKTEzUgAEDtH79ek2cOFEffvjhHdvavn27Zs2aJTc3N82ePVuPPfaYtWz+/PkaMWKEhg8frnr16snHx8daFh4eLkdHR02ePFmurq45fo8AAAAAjIU1aZlYtWqVoqOj9fjjj1sDmiS5uLhozJgxcnNz0+LFi3Xt2rU7trV48WJJUo8ePWwCmiR17NhRjRo10s2bN7V69Wrr8ZiYGF24cEHly5cnoAEAAAD/EYS0TISFhUmSmjdvnq6sWLFiCgoKUnJysjZt2nTHtlxcXOTv76+goCC75X5+fpJuBTMLy1THwMDAbPfdyFJSUpScnHzPf4D/opz47CQnJyslJSW/bwUAAGSA6Y6ZiIyMlCQFBATYLa9YsaLCwsIUERGhli1bZtrWnaZE7tmzR5JUsmRJ6zFLSCtcuLA++OAD/fPPPzp37px8fHz0zDPPqFevXlleD2ckBw8evOc2nJycVKNGjRzoDXB/OXDgAAELAIAHHCNpmTh//rwkydvb2265l5eXJNvRr7uxfv167dy5U87OzmrWrJn1uCWkzZ07V2vXrlXFihX16KOP6uLFi5o9e7bat29/z9cGAAAAYCyMpGUiISFB0q2pivZYjsfHx9/1NSIiIjR06FBJt9ar3b5pyIEDByRJnTp10nvvvacCBQpIuhUe/+///k/bt2/X0KFD9fXXX9/19QEAAAAYCyEtE46OjkpLS7tjPbPZfFft7927Vz179lRsbKyaNGmifv362ZRbNi7x9/eXyWSyHvf29taECRPUokULbdq0SVFRUSpfvvxd9QEAAACAsRDSMuHu7q7Y2FjdvHnTbnliYqIkyc3NLdtt//777xoyZIgSEhLUvHlzTZw4UY6OjjZ1PDw8MlwPV7JkSVWpUkU7duzQvn377quQVrlyZTk7O+d3N4D7Uk69GzE5OTlH1ocCAICcR0jLRIkSJRQbG6sLFy7YbOhhYVkPVqJEiWy1O336dE2dOlVms1kvv/yyhg0bJgeH7C8PtPTpXqZb5gcnJydCGnCXcuqzc7czAAAAQO5j45BMWEaxDh8+bLf8yJEjNvXuJC0tTUOGDNGUKVPk4OCgYcOG6YMPPrAb0I4cOaKhQ4dq2LBhGbZ39uxZSbIbIAEAAADcnwhpmWjcuLEkKTQ0NF3ZlStXtGXLFhUsWFD169fPUnvvv/++li1bJldXV02fPl2vvPJKhnVdXFy0dOlSLV68WMePH09Xfvz4ce3evVtubm6qU6dOlq4PAAAAwPgIaZlo1qyZSpcurQ0bNmj+/PnW44mJiRo2bJji4+MVHBwsT09Pa1lycrKioqIUFRVl88Ll5cuXa8mSJXJ0dNSMGTPUpEmTTK/t6+urRo0aSZKGDBmiy5cvW8vOnTunt956S6mpqerevbs8PDxy6pYBAAAA5DOTmYUJmdq2bZt69OihxMREVa1aVb6+vtq1a5diYmIUGBio7777Tu7u7tb6p0+fVtOmTSVJ69atk6+vr1JTU9W0aVOdPXtW3t7eqlu3bobXa9iwoVq3bi3p1pq3Ll266Pjx4ypUqJBq1qwpSdq6dasSExP1zDPPaNKkSXJyMubSwqSkJO3bty/d8WrVqllfJ5CTen20WHE37G/yAtyPCrkX1KwR7XOl7bz+fAIAgKwz5k/3BlKnTh0tWrRI06ZN09atW3XkyBH5+voqODhY3bt3twloGYmIiLCuHzt//rxWrlyZYd1ixYpZQ1qJEiW0ZMkSffXVVwoNDdU///wjZ2dnValSRR06dFDbtm1ttuYHAAAAcP9jJA25hpE04N4wkgYAwH8Ta9IAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMhJAGAAAAAAZCSAMAAAAAAyGkAQAAAICBENIAAAAAwEAIaQAAAABgIIQ0AAAAADAQQhoAAAAAGAghDQAAAAAMxCm/O3A/OHbsmKZPn64dO3bo0qVL8vHxUYsWLdSzZ0+5u7tnq63z58/riy++0N9//61z586pePHieuqpp/TGG2/I09PT7jn79u3TF198of379+vatWsqU6aMWrdurW7dusnZ2TknbhEAAACAQTCSdgd79+5Vu3bttHLlSnl5ealx48aKj4/XzJkz1bFjR8XFxWW5rZMnT+rFF1/U/Pnz5eLioiZNmsjR0VHff/+92rRpo7Nnz6Y7Z926derYsaM2bNigsmXL6oknnlBMTIwmTJig119/XcnJyTl5uwAAAADyGSEtE8nJyXr77bcVHx+vcePGaeHChZoyZYrWrl2rp556SpGRkZo4cWKW2xs8eLAuXLigfv36aeXKlZoyZYpWr16tjh076vz58xo+fLhN/djYWL3zzjsymUz6+uuvNW/ePE2fPl2hoaGqUaOGNm/erLlz5+bwXQMAAADIT4S0TKxatUrR0dF6/PHH1bZtW+txFxcXjRkzRm5ublq8eLGuXbt2x7a2bdumnTt3ys/PT3379rUed3R01Pvvv69SpUrpjz/+0JEjR6xl33//vW7cuKG2bduqQYMG1uNFixbV2LFjJUnffvut0tLScuJ2AQAAABgAa9IyERYWJklq3rx5urJixYopKChIYWFh2rRpk1q2bJmltpo1ayYHB9ts7OzsrKZNm2revHlav369KlSoIEnasGFDhtcvX768/P39FRkZqX379qlGjRrZvr/cZjab7R5PSEhQSkrKPbfv5GT75VuimKvcXBzvuV3AKDxcCygpKcnmWE58diRlOFU6o88tAADIO4S0TERGRkqSAgIC7JZXrFhRYWFhioiIuGNIu1NblmAWERFhPXb48OE7Xj8yMlIRERGGDGkZ/TB5+2hhTmrzuE+utAvkp3379uXp9VJSUlSwYME8vSYAALDFdMdMnD9/XpLk7e1tt9zLy0uSFBMTk2NtXbhwQdKt9WiJiYlycHBQiRIl7vn6AAAAAO4PhLRMJCQkSLq1Bs0ey/H4+Pgcb+tO9bN7fQAAAAD3B0JaJhwds7a+KStrOLLalmUTkH+vW7vX6wMAAAC4PxDSMmF5UfXNmzftlicmJkqS3NzccqwtS7071c/u9QEAAADcH9g4JBMlSpRQbGysLly4oJIlS6Yrt6wFy2jN2L/bCg8Pz3D92L/b8vDwkIeHh65fv65Lly7poYceuqfr5wdXV1dVqlQp3XEnJyeZTKZ86BEAC7PZbHdzH1dX13zoDQAAuB0hLRMBAQGKjIzU4cOHVb169XTlll0KM9p98d9thYWFZbizob22/P39tXPnTh0+fNhuSMvO9fODg4ODdUQQgPGwiyMAAMbEdMdMNG7cWJIUGhqaruzKlSvasmWLChYsqPr162e5rTVr1qRbQ5acnKx169bZ1LvT9aOiohQZGanixYsrMDAwC3cDAAAA4H5ASMtEs2bNVLp0aW3YsEHz58+3Hk9MTNSwYcMUHx+v4OBgeXp6WsuSk5MVFRWlqKgom5fF1qxZU9WrV1dkZKQ+++wza1BLTU3Vxx9/rLNnz6pJkyby9/e3ntOuXTt5eHho4cKF1pdhS7e253/vvfckST169Ej3UmcAAAAA9y+Tma0BM7Vt2zb16NFDiYmJqlq1qnx9fbVr1y7FxMQoMDBQ3333nc2UvtOnT6tp06aSpHXr1snX19daFhUVpc6dO+vKlSvy8/NTxYoVdfDgQZ08eVK+vr766aef0q0vW7VqlQYNGiSz2axatWrJ09NT27ZtU2xsrJo0aaJp06YR0gAAAIAHCCEtCyIjIzVt2jRt3bpV8fHx8vX1VYsWLdS9e3d5eHjY1M0spElSdHS0pk2bpj///FNXr15VyZIl1ahRI/Xu3dvuujNJ2r59u2bNmqXdu3crJSVFZcqUUbt27RQSEqICBQrkzk0DAAAAyBeENAAAAAAwENakAQCA/2/vzqNzuhb/j3+SSEhSRExRQyl9niKDBImqsQg1T0XV1KqpqMv1bbiUNrco1avf6lXD5SqXoIbUWHP5KhURlKDGiiCJiqTEkEjP74/8cq40TzQqeMT7tVbWavbeZ+/9nERXPmvvsw8AwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIAAAAAwI4Q0gAAAADAjhDSAAAAAMCOENIA/GmGYTzuKQAAAOQ7BR73BAD8senTp+uLL764r2uGDBmioUOHPpT53Lx5U7Nnz5arq6v69+9vlmfOs1evXhozZsxDGRsAACC/I6QBTwCr1ao2bdpkKbt586a2bNkiSdnqMq95WP73f/9X//73vzVkyJCHNgYAAMDTipAGPAGCg4MVHBycpSw2NtYMaVOnTn2k80lPT7dZ/sYbb6hly5by8PB4pPMBAADITwhpAPKMp6enPD09H/c0AAAAnmgcHALkUykpKZoxY4batGkjPz8/BQQEqHv37goPD7d54Me5c+c0atQoNW/eXL6+vgoMDFTPnj21YsWKLO2tVqsWLFggSfriiy9ktVo1ffp0SRnPpFmtVk2YMMFsv3LlSlmtVs2YMUMnT57Uu+++qzp16sjHx0dt2rTR3LlzdefOnWzzSUtL04IFC9SuXTv5+/urTp06GjlypGJjY9WnTx9ZrVbFxsbm9W0DAAB47FhJA/KhhIQEvfnmmzp16pQ8PT0VFBSk9PR0RUZGKiQkRLt379bkyZPl4OAgSTp79qxee+01Xbt2TRaLRY0aNdKvv/6qffv2KSIiQtHR0Ro3bpykjOffoqOjdebMGVksFlmt1lw9/3bo0CHNmjVLzzzzjGrUqKHr168rMjJSU6ZM0dmzZ/XRRx+ZbVNTUzVo0CDt2rVL7u7uCgoKUlpamjZu3Kjvv/9ehQsXfjg3DgAAwA4Q0oB86L333tOpU6fUoUMHjRs3Tm5ubpKkuLg49evXT9988418fHzUs2dPSdLcuXN17do1DRgwQCNGjDD7OXbsmLp166awsDANHDhQpUqV0tSpUzVhwgSdOXNGwcHBuT5B8rvvvlPHjh01btw4ubq6SpI2b96sIUOGaPny5Ro2bJhKlixpzmfXrl2qXr265syZo+LFi0uSYmJi9NZbb+ncuXN5dq8AAADsDdsdgXzmxx9/1J49e1SuXDmFhoaaAU2SvLy8zK2I//rXv8zy+Ph4SVL58uWz9FW1alVNnDhRU6ZMkYuLywPNy93dXePHjzcDmiQ1a9ZM5cqVk2EYOnXqlKSMQ0m++uorOTg46JNPPjEDmiRVqFAhy1ZKAACA/IiQBuQzP/zwgySpVq1aNoOVr6+vPD09FRcXp7Nnz0qSgoKCJEmhoaEaPXq0vv32WyUnJ0uSWrVqpTZt2jzwiY1Vq1ZVoUKFspWXKlVKknTjxg1J0tGjR3X16lVVqVJFlStXztY+KChIJUqUeKC5AAAA2DO2OwL5zMWLFyVJ4eHhCg8Pv2fbS5cuqVKlSurTp49Onz6tlStXml+Ojo7y8/NTcHCwunTpomeeeeaB5lWkSBGb5QUKZPxvKPNwksz5P/vsszn2Va5cOf3yyy8PNB8AAAB7RUgD8pnffvtNklS9enU9//zz92ybGZwKFCigSZMmadCgQdq8ebN2796tqKgoHThwQAcOHND8+fMVFhamsmXL/ul5ZR5S8kcyT3rM6V1skmyeTgkAAJBfENKAfCZz+2D9+vU1fPjw+7q2QoUK6tu3r/r27au0tDRFRERo4sSJOnXqlGbPnq0PP/zwYUw5Cy8vL0n/XVGz5V51AAAATzqeSQPymcDAQEnStm3bbK44xcXFKTg4WD179lRSUpIkqX///goKClJcXJzZztnZWS+//LL69u0rKWNrZKbcror9GT4+PipSpIjOnDmj06dPZ6s/ePCgLl++/NDGBwAAeNwIaUA+ExgYKB8fH504cUJjx45VSkqKWXf9+nW99957OnfunFxcXMzDQIoXL66kpCR9/PHHSk1NNdunpqZqw4YNkjIOHMmUeQBI5uEiecnFxUU9evSQJIWEhCgxMdGsi4+P15gxY8zvH2ZYBAAAeFzY7gjkQ9OmTVPv3r21fPlybdmyRd7e3nJyclJUVJSuXbumChUqaOLEiWb7ESNGaM+ePdqwYYMiIyPl7e0tSTpy5IguX74si8Wi3r17m+0zn3VbtmyZLl26pIYNG6pLly55Nv+BAwcqIiJCkZGRatq0qQIDA2UYhvbu3auiRYuqUKFCunXrlnnoCAAAQH7CShqQD5UvX16rVq3SO++8o1KlSikyMlJRUVEqW7as3n33XS1fvlylS5c225csWVJLly5V9+7d5erqql27dumHH36Qp6en3n33XS1dulSFCxc227du3VpvvPGGXF1dtXPnTkVGRubp/AsWLKh58+bpL3/5i7y8vPT999/r0KFDevXVV7Vs2TI5OTlJUpY5AQAA5BcOBsekAbAzhw8flpeXl0qWLJmt7sqVK6pbt65KliypXbt2PYbZAQAAPFyspAGwO0OHDlW9evW0e/fuLOWpqan66KOPJEnNmzd/HFMDAAB46FhJA2B3wsLC9MEHH8jBwUHe3t4qW7asbt68qUOHDikpKUnVq1fXggULHvgF2wAAAPaIkAbALkVERGjx4sU6fPiwLl++LFdXV1WoUEGtWrVS9+7d5eLi8rinCAAA8FAQ0gAAAADAjvBMGgAAAADYEUIagHyJTQIAAOBJRUhDvrZy5UpZrVb17NkzT/vdunWrhg0bpoYNG8rHx0e1atVSq1atFBoaqhMnTuTJGLGxsbJarapVq1ae9Pc02bFjh95+++0H7ifz9+edd97Jg1kBAADkDiENuA9paWkaMmSI3nnnHW3btk3ly5dX06ZN5efnp5s3b2rRokVq166d5syZ87in+tT66aef1L9/f509e/ZxTwUAAOBPKfC4JwA8SWbPnq3NmzfL399fM2bMkKenp1lnGIbWrFmj0aNHa+rUqapatarq1av3GGf7dPrtt9/yrK9mzZrJz8+Po/4BAMAjxUoacB9WrlwpSRo/fnyWgCZJDg4Oatu2rXr37i1JWrx48SOfH/JW4cKFVblyZZUuXfpxTwUAADxFCGnAfbhy5YqkjECWk7Zt26pNmzby8/PLVpeamqqFCxeqc+fO8vf3V40aNdSxY0ctXLhQaWlpuZ5HSkqKZsyYYY4TEBCg7t27Kzw8PNuBGXv37pXVatWYMWN06dIljRo1SvXq1ZO3t7eCg4P12Wef6caNGzbH2bJli/r27avAwEB5e3vrlVde0fjx4xUbG2uzfXp6uhYvXqxu3bqpdu3aql27tjp37qxly5bpzp07kqRt27bJarXq1VdfzfHztWrVSlarVadOnTLv2+zZs9W5c2cFBgaqRo0aatmypSZPnqxffvnFvG7UqFFq3769JOnChQuyWq165ZVXsvSdmJioKVOmqHnz5vLx8VHt2rX11ltvaceOHdnmYeuZtAe5n/v379eQIUNUt25deXt7q3Hjxho3bpwuXryY470AAABPH7Y7AvehatWqioqK0ujRo/XBBx/YDGIvvviipk6dmq38xo0bevvtt7V//34VLlxY/v7+cnFxUWRkpD766CNt3bpVs2fP/sOXNCckJOjNN9/UqVOn5OnpqaCgIKWnpysyMlIhISHavXu3Jk+enC1IxsTEqEOHDkpPT5efn58Mw9DevXv15Zdf6scff9S8efOytB83bpyWLl0qJycn+fv7q3jx4jp27JiWLFmitWvXasaMGQoKCjLb37p1S/369VNERITc3NxUq1YtOTo6KiIiQu+//7727Nmjf/zjH2rYsKFKly6tM2fO6ODBg6pRo0aWcQ8ePKhTp07J399fVapUkWEYGjx4sHbu3CkPDw/5+/urQIECOnTokObNm6cNGzYoPDzcrEtMTNSOHTvk5uamJk2aZFnxPHXqlN566y3Fx8fLy8tL9erVU0pKiiIiIvT9999r0KBB+stf/nLP+/9n7+f8+fP18ccfS5KqV6+uWrVq6eTJk1q6dKk2btyoOXPmyNfXN1djAwCAfM4A8rEVK1YYFovF6NGjR570t2/fPsPb29uwWCyGxWIxGjVqZISEhBjLli0zzpw5c89r//a3vxkWi8Xo27evkZiYaJYnJSUZPXv2NCwWizFp0iSz/Pz584bFYjFq1qyZpZ/evXsbFovFCAkJMVJSUszyS5cuGa1btzYsFouxYMECs/yHH34w5/v2228bV69eNesOHTpkVK9e3bBYLMbBgwfN8rCwMMNisRh169Y1jhw5Ypanp6cbM2fONCwWi1G7dm3jypUrZt3HH39sWCwWo2PHjsbly5fN8ri4OOOVV14xLBaLsW7dOsMwDGPatGmGxWIx3n///Wz3acyYMYbFYjG+/vprwzAMIzIy0rBYLEZwcLBx7do1s93t27eNHj16GBaLxZg1a5ZZfvToUcNisRiNGzfO0m9aWprRokULw2KxGJ9++qmRlpZm1p04ccKoX7++YbFYjK1bt5rlmb8/gwYNeqD7GRERYVitVqN27drGvn37ssxr/vz5hsViMRo0aGDcvHkz2/0AAABPH7Y7AvehVq1aWrRokapXry5JunjxolatWqWxY8eqRYsWaty4sT799FP9+uuvWa5LSEhQeHi43N3d9cknn6hYsWJmXdGiRTVlyhQ5OzsrLCxM169fz3H8H3/8UXv27FG5cuUUGhoqNzc3s87Ly0sTJkyQJP3rX/+yeX1oaKg8PDzM7319fRUQECBJWV4dMHfuXEkZq2mZn1WSHB0dNWDAADVu3FjJyclasmSJpIztiMuWLZODg4M++eQTlShRwrymdOnSGjFihJ5//nlzm+Rrr70mR0dHbdiwQbdv3zbb3rhxQ+vXr5e7u7tatmwpSYqPj5cklShRQu7u7mZbFxcXjR07Vh9++KHq16+f4z3LtHnzZp05c0YBAQEaMWKEChT470aCF154QaNGjZKk+zqZM7f3c86cOTIMQyNHjsz2SoXevXurQYMGiouL05o1a3I9NgAAyL8IacB98vX11cqVKxUeHq7hw4erXr16Zni4ePGiZs+erRYtWuj48ePmNfv27dOdO3dUrVq1LAEtk5eXl1588UXdunVLBw8ezHHsH374QVJGWLS1LdLX11eenp6Ki4vLdgR9mTJlVKZMmWzXlCpVSpJ08+ZNSVJcXJxiYmLk6uqqJk2a2JxHmzZtsswnOjpa169fV+XKlfX8889na9+qVStt2LBB/fv3lySVLVtWdevW1a+//qrNmzeb7b799lulpKSoVatWZgCtWbOmnJ2dFRkZqddff11fffWVTp8+LUmyWq3q1q2bqlatmtMtM+3Zs0eS9NJLL9msb9iwoRwdHXXo0CHzXtxLbu9nenq6IiIi7jl2o0aNJP33fgIAgKcbz6QB/9+mTZu0adOmbOW1a9dW165ds5VXrVpVVatW1cCBA5Wenq7o6Ght2rRJixcv1pUrVzR48GB9++23cnZ2Ng+G2Ldvn6xW6z3ncenSpRzrMvsJDw9XeHj4H/ZTqVIl8/siRYrYbJe5opR5dH1CQoKkjBBy92rT3cqXL5+l7d3X5FbXrl21a9curVq1Sq1bt5YkLV++XFLGSlum0qVL69NPP9X777+vAwcO6MCBA5KkZ599Vo0bN1aXLl304osv/uF4mff1n//8p/75z3/es21CQoKee+65e7bJ7f1MSkoyA1vTpk3v2ScHiAAAAImQBph++uknm9vNChQooK5duyo+Pl6xsbEqVaqUGVIyOTk5ydfXV76+vmrXrp06deqk2NhY7d+/X3Xq1DFPXKxUqZK8vb3vOQ8vL68c6zL/8K9evbrNFau7/T5E3OtEyrsZvzsd0pb09HRJMlfzMk9uzO0YktS4cWOVKFFCu3fvVnx8vG7duqX9+/fLYrFkO0CjefPmqlevnnbs2KGdO3dq7969unjxohYtWqSwsDB98MEHNoP03TLvXe3ate95jyXJ2dn5D+ef28+aOW6BAgXueaKllLHCCAAAQEgD/r+hQ4dq6NChOdYvXLhQc+bMUZcuXfT3v/89x3YvvPCCAgICtGfPHiUlJUmSSpYsKSkjXNk6+TG3MrfS1a9fX8OHD//T/eRmjEuXLunOnTs2V9NiYmIkyXz2LPPzxcXF2ezz5s2bWrlypSpWrKiXX35ZUkYQ6tChg+bMmaONGzeax9Z37tzZZh+Zz6llPqv2888/a+7cuVq2bJkmT56sjh073jNcZX6utm3bqkuXLve+CXnIw8NDzs7OSk9P14QJE1SwYMFHNjYAAHgy8UwakEuZBz6sX7/e3N5ny507d8wQY7FYJGWs3jg4OGj37t02n3e6ceOG2rZtq9dff9183sqWwMBASRnvGrO14hUXF6fg4GD17NnTDIj3q0yZMipfvrxu3rypbdu22Wyzbt06SVKdOnUkSd7e3ipYsKBOnjyp8+fPZ2v//fffKzQ0VNOnT89S3qVLFzk4OGjjxo3atGmTXFxc1K5duyxtlixZoiZNmmjWrFlZyitWrKjx48fLyclJKSkpunbtmqScV7gy793WrVtt1h8+fFjNmjXTwIEDzZXBvODs7Cx/f3/99ttv2r59u802kydPVrt27bRgwYI8GxcAADy5CGlALjVs2FD+/v66fv26evbsqb1792Zrk5iYqJCQEF24cEFNmzY1tySWK1dOwcHBSkxM1PDhw5WYmGhek5qaqvfff18//fSTkpKS7rmNMTAwUD4+Pjpx4oTGjh2rlJQUs+769et67733dO7cObm4uGQ5dfB+vfXWW5IyTi88duyYWW4YhmbNmqUdO3aoaNGiZqByc3NT586dZRiGQkJClJycbF4THx+vKVOmSFK2FawKFSooKChIUVFRio6OVrNmzbLNO/NUyPnz52c7DGXt2rVKT09XuXLlzPehZa5UXb9+3dxqKEktW7ZUmTJl9N133+mzzz7L8vLwhIQE/e1vf1NMTIxKlSqV47N4f1bfvn0lZdzP3//ebNq0SQsXLtTx48f/cCssAAB4OrDdEU+FAwcOmNvsbPHy8tKKFSvu2YeDg4NmzpypQYMGKSoqSr169dKzzz4ri8UiV1dXxcfH6/Dhw0pLS1NgYKAmT56c5frQ0FDFxMRo+/btatq0qby9veXu7q5Dhw7pypUrKlasmD7//PM/fNZp2rRp6t27t5YvX64tW7bI29tbTk5OioqK0rVr11ShQgVNnDgx9zfHhtdff11HjhzRihUr1KlTJ9WsWVOenp46evSoYmJiVLhwYf3jH/9Q6dKlzWtGjhypo0ePav/+/WrSpIlq166t1NRURUVF6caNG2rZsqU6dOiQbayuXbuapxrefWBIpsDAQL322mv6+uuv1bp1awUEBKhYsWKKjY1VdHS0nJ2d9cEHH5jty5QpI1dXVyUnJ6tbt26qUKGCpk6dqoIFC+rzzz9Xv3799OWXX2rFihWqVq2a7ty5o3379un27dvy8/PTe++990D3zpZGjRrpnXfe0YwZM9SrVy9Vq1ZN5cqV0/nz580QPHLkSPP4fgAA8HQjpOGpkJaWpl9++SXH+tw+J+Th4aHFixdr48aN2rx5s3788UdFRkbq9u3b8vT0VIMGDdS6dWu9+uqr2cKWh4eHlixZokWLFmn9+vU6fPiwpIxTCtu1a6c+ffpkCT05KV++vFatWqX58+dry5YtioyMlLOzs8qWLavg4GD16NFDRYsWzdXnyYmDg4MmTpyohg0basmSJTpy5Ihu3bqlMmXKqFevXurTp0+2Qy7c3Ny0YMEC/ec//9GaNWu0Z88e/fbbb6pSpYq6du1qbm38vZo1a0rKWG3M3D75ex9++KGqVq2q1atXKzo6WqmpqfL09FTbtm3Vr18/c1upJBUqVEhTp07V1KlTdfToUZ0/f15Xr15VsWLF5Ovrq9WrV2vu3LnasWOHdu/eLTc3N1ksFvNZtUKFCj3QvcvJsGHDFBgYqAULFujgwYM6efKkSpYsqcaNG+vNN99UUFDQQxkXAAA8eRyM3BzlBgAPybx58zR58mSNGDFCAwYMeNzTAQAAeOx4Jg3AI3fr1i1J0rFjxzRnzhy5urra3OoIAADwNGK7I4BHbsKECfrmm290+/ZtSdLw4cPNgz8AAACedqykAXjkvL295ejoqBIlSmjo0KFscwQAALgLz6QBAAAAgB1hJQ0AAAAA7AghDQAAAADsCCENAAAAAOwIIQ0AAAAA7AghDQAAAADsCCENAAAAAOwIIQ0AAAAA7AghDQAAAADsCCENAAAAAOwIIQ0AAAAA7AghDQAAAADsCCENAAAAAOwIIQ0AAAAA7AghDQAAAADsCCENAAAAAOwIIQ0AAAAA7EiBxz0B4ElgtVrvq33hwoUVGRn5kGaTs71796pXr16SpOjoaBUowD/xh+3kyZN64YUXHvc0AABAPsJfcMB9qFixojw9Pf+wnbu7+yOYDR6nhIQETZ48WZGRkdqxY8fjng4AAMhHCGnAfRgwYIA6duz4uKeRI19fX61fv16SWEV7yHbt2qW1a9eqdOnSj3sqAAAgn+GvOCAfcXV1VeXKlR/3NAAAAPAAODgEAAAAAOwIIQ14BEaNGiWr1aqwsDDFxsZq9OjRatCggby9vdWgQQONGTNGsbGxZnvDMNSkSRNZrVbNnz8/x37Hjh0rq9Wq//mf/5GUcXCI1WqV1WrVnTt3bI6/dOlSNWrUSD4+PgoODtbevXvNdsnJyfriiy/Uvn17+fv7y8/PT6+++qomT56shISEbOOvXLlSVqtVw4cP140bN/TZZ5+pefPm8vHxUVBQkAYOHGjzAJXp06fLarVq2rRpSkhI0Pjx49WgQQP5+PioadOmmjZtmlJTU83P1LdvX9WuXVs+Pj7q0KGDwsPDc7wnx48fV0hIiBo1aiRvb28FBQWpb9++2rhxo832PXv2lNVq1c6dO3X8+HENGzZMdevWlbe3t5o0aaKJEycqMTExyzVWq1WjR4+WJMXHx5v3HAAAIC8Q0oBH6OjRo2rXrp3Cw8Pl6uqq5557TvHx8Vq+fLlee+01Xbp0SZLk4OCgDh06SJJWr15ts6/bt2/r22+/laRcPye3evVqjRs3ToZhqGLFirp8+bKqVq0qKSPctG7dWtOnT9dPP/2ksmXLqlKlSoqJidG8efPUunXrLIHubr/++qu6du2qL7/8Ujdu3FCVKlV048YNbd++Xb169dJ3331n87pz586pffv2WrZsmYoWLaoSJUro/PnzmjlzpkaNGqWwsDD17t1bUVFRKleunAoVKqSjR48qJCRES5YsydbfokWL1LFjR4WHhys5OVkvvPCC3NzctGvXLr377rv661//qvT0dJtz2blzpzp37qwtW7aoWLFiKlOmjGJjY/XVV1+pW7duun79utk2ICBAFStWlCQ5OzsrICBAAQEBufoZAAAA/BFCGvAILVu2TFWqVNH69eu1ceNGrVu3TkuWLJG7u7sSExM1b948s22HDh3k4OCg6OhonT59Oltf27Zt07Vr11S2bFnVqVMnV+NHRUWpR48e2rZtm9asWaOtW7eqSJEiun79uvr166eEhAT5+/tr06ZNWrt2rcLDw7Vjxw41btxYycnJGjx4sM6fP5+t3127dunq1auaO3eu/u///k+rVq3S1q1bZbValZ6ermnTptmcz4YNG+Th4aENGzZozZo12r59uwYPHixJWrdunUJDQ9WnTx/t3btXq1at0s6dO1W/fn1J0uzZs7P0tWPHDv3973+Xo6OjxowZo8jISK1atUrbt2/X/PnzVbx4ca1du1bTp0+3OZeFCxfq5Zdf1vbt27Vu3Tpt3rxZM2bMkJOTk86dO6fly5ebbcPCwjRgwABJkqenp8LCwhQWFparnwEAAMAfIaQB92H06NHm1rZ7feW04uTs7KwvvvhClSpVMsv8/f3NlbCoqCiz/O7wZWs17ZtvvpEktW/fXg4ODrmaf8GCBfXXv/5VTk5OkmS+TmDx4sVKSEhQiRIlNGvWLJUvX968pkSJEvr8889lsVh07do1zZw502bf48aNU7169czvS5UqpSFDhkjKWKVLSUmxed2kSZPMVSlJ6tevnzm/mjVratSoUXJxcZGUcTBK//79JUkXLlxQcnKyed20adNkGIZGjhypXr16mX1I0ksvvaRJkyZJkv7973/r6tWr2eZRvHhxff755ypVqpRZ1qRJEzVo0EBS1p8NAADAw0RIA+5DxYoVza1t9/oqXLiwzeu9vb1VsmTJbOXPP/+8JOnatWtZyjPD29q1a7OUJyYmateuXVm2ReZGtWrV5Obmlq1827ZtkjICX9GiRbPVu7i4qGfPnmZbwzCy1Ds5OZlh5m53nzR593bBTMWKFZOfn1+WMldXVzM82urz7hCV2WdsbKyOHTsmSWrbtm22aySpYcOGKlasmG7duqU9e/Zkq3/ppZdUsGDBHD/D7382AAAADwtH8AP34UHfk5bTO7UKFSokSVkO+5Ck4OBghYaGKjY2Vvv371fNmjUlZWwFTEtLU2BgYJZVrz9iKyBK0tmzZyVJ1atXz/HazLrExEQlJSWpWLFiZl3RokXNz3C3u0PP7z+bJHl5edkcK3PlzNaLw+9+/1tmWDx58qRZlrld0pbbt29Lks6cOZOt7n5/NgAAAA8LIQ14hJydne+rfaFChdSyZUstXbpUa9asMUNa5lbH+w2MtlaKpP+uSOW0AihJzzzzjPnfKSkpWUJabj7X71ffpIxVs3txdMzdYv/dq1y52ZZoa1Xsfn82AAAADwshDbBznTp10tKlS7VhwwaNGTNG58+f1+HDh+Xm5qbmzZvnyRju7u5KTk6+55a+u5//cnd3z5Nx80rmFk4PD48cnwcEAAB4UvBMGmDn/Pz8VKVKFSUlJSkiIkJr1qyRJLVo0cLm82V/RuYzcdHR0Tm2OXLkiKSMrY13r6LZg8yDWJKSknT58uUc20VGRur06dO6devWo5oaAADAfSOkAU+AzG2NmzdvNt+N1qlTpzzrv3HjxpJkvl/s91JTU80j5jOPwLcnlStX1nPPPSdJ+s9//mOzzf79+/XGG2+oZcuWOnjw4AOPmbkV09Y2TgAAgAdBSAOeAO3atVOBAgW0evVqnTlzRhUqVFCtWrXyrP/XX39dpUuX1i+//KIBAwZkeRfalStXNGzYMJ04cULu7u4aOnRono2bl4YNGyYp4/1pc+bMUWpqqlkXGRlp1teoUSPX75W7l8xVzOTkZJsnVwIAAPxZPJMG3IdZs2bp66+/zlXbgQMHqmHDhnkybokSJVS/fn1t375dku7r2P3cKFKkiGbOnKn+/fvrwIEDCg4OVpUqVVSgQAGdPHlSaWlp8vDw0KeffprlnWb2pFWrVvr55581ffp0TZ06VbNmzVLFihWVmJioCxcuSMrYFjljxow8Gc9qtcrR0VG3b99WixYtVKpUKc2dO9futoICAIAnDyENuA8///yzfv7551y1vXLlSp6O3alTJ23fvl2Ojo5q3759nvYtZbxDbe3atVqwYIG2bNmimJgYOTg4qFKlSnrllVfUvXv3HI+ptxeDBw9WvXr1tHDhQkVGRur48eNydnZWtWrV1KxZM/Xu3TvPDj157rnnNGnSJH355Ze6cOGC0tPTdeHCBUIaAAB4YA4GD1QAAAAAgN3gmTQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAjhDQAAAAAsCOENAAAAACwI4Q0AAAAALAj/w874DDSMiTL3gAAAABJRU5ErkJggg==\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -835,8 +877,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:29.810653Z",
-     "start_time": "2023-07-10T17:12:29.038533Z"
+     "end_time": "2023-07-10T22:29:24.621883Z",
+     "start_time": "2023-07-10T22:29:21.980416Z"
     }
    }
   }
diff --git a/notebooks/new_environments/~$new_genes.xlsx b/notebooks/new_environments/~$new_genes.xlsx
deleted file mode 100644
index 5a932052db2a5d1e1d32a453f59be330b8becc3b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 165
zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx
R#Z!U2P@qgIP=x};5CA3W7%cz*

diff --git a/notebooks/new_environments/~$temp.xlsx b/notebooks/new_environments/~$temp.xlsx
deleted file mode 100644
index 5a932052db2a5d1e1d32a453f59be330b8becc3b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 165
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R#Z!U2P@qgIP=x};5CA3W7%cz*


From 1bb41a2254f33aa74a1111487c650a468ba9e323 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 12 Jul 2023 10:50:40 -0700
Subject: [PATCH 17/58] Test adding a putative Fe-S cluster synthesis pathway
 in a separate notebook

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 610 ++++++++++++++++++
 .../test_environments_new.ipynb               |  17 +-
 2 files changed, 622 insertions(+), 5 deletions(-)
 create mode 100644 notebooks/new_environments/Fe_S_pathway.ipynb

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
new file mode 100644
index 000000000..31aa9fa2d
--- /dev/null
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -0,0 +1,610 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 355,
+   "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:19.249069Z",
+     "start_time": "2023-07-12T17:11:19.061463Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
+    "\n",
+    "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a143cbbb-3570-4548-bc24-f499c070a880",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Import simulation output\n",
+    "\n",
+    "Before running this, I ran a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment, where we e.g. have dynamic demand for amino acids and nucleotides, and varying cell volumes.\n",
+    "\n",
+    "You don't have to do this for now. We'll use a single time step from the simulation output to test the network flow model on its own."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 356,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-06-26'\n",
+    "experiment = 'fba-redux'\n",
+    "entry = f'{experiment}_{time}_{date}'\n",
+    "folder = f'out/fbagd/{entry}/'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:19.311558Z",
+     "start_time": "2023-07-12T17:11:19.088484Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 357,
+   "outputs": [],
+   "source": [
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "# output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:21.544481Z",
+     "start_time": "2023-07-12T17:11:19.104231Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 358,
+   "outputs": [],
+   "source": [
+    "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:25.269951Z",
+     "start_time": "2023-07-12T17:11:21.551914Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 359,
+   "outputs": [],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
+    "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:25.365464Z",
+     "start_time": "2023-07-12T17:11:25.283457Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28db669f-93f3-4f5c-aea0-e23b6a811660",
+   "metadata": {},
+   "source": [
+    "## Connect to EcoCyc to go from Genes -> Reactions\n",
+    "\n",
+    "We use the EcoCyc API to automatically figure out what are made possible by the genes we are adding. While reactions are always possible, enzymes make them faster to the point that it is useful to the cell."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 360,
+   "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.042970Z",
+     "start_time": "2023-07-12T17:11:25.367327Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 360,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 361,
+   "outputs": [],
+   "source": [
+    "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
+    "                          \"G7325\": \"cysteine-desulfurase-FeS-cluster-assembly\",\n",
+    "                          \"EG12132\": \"iron-transport-FeS-cluster-assembly\",\n",
+    "                          \"G7324\": \"complex-formation-FeS-cluster-assembly\",\n",
+    "                          \"EG12130\": \"cluster-transport-FeS-cluster-assembly\"\n",
+    "                          # Missing HscB with HscA complex\n",
+    "                          }"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.055204Z",
+     "start_time": "2023-07-12T17:11:26.046570Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 362,
+   "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.145449Z",
+     "start_time": "2023-07-12T17:11:26.065020Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                 Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 362,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_df = pd.read_excel(\"notebooks/new_environments/temp.xlsx\")\n",
+    "condition_df[\"Genes\"] = condition_df[\"Genes\"].apply(lambda x: set(x.split(\", \") if x == x else set()))\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Reactions\"] = [[np.nan]] * len(condition_df)\n",
+    "condition_df[\"Substrates\"] = [[np.nan]] * len(condition_df)\n",
+    "\n",
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 363,
+   "outputs": [],
+   "source": [
+    "length = len(condition_df.index)\n",
+    "\n",
+    "for i in range(length):\n",
+    "    genes = condition_df.loc[i, \"Genes\"]\n",
+    "    rxn_set = set()\n",
+    "    added_rxn_set = set()\n",
+    "\n",
+    "    for gene in genes:\n",
+    "        function = \"reactions-of-gene\"\n",
+    "        name = gene\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        if gene in added_gene_to_reaction.keys():\n",
+    "            added_rxn_set.add(added_gene_to_reaction[gene])\n",
+    "        else:\n",
+    "            o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "            if type(o) is dict:\n",
+    "                o = [o]\n",
+    "\n",
+    "            for rxn in o:\n",
+    "                if type(rxn) is not str: # no rxns\n",
+    "                    rxn_set.add(rxn['@frameid'])\n",
+    "                else:\n",
+    "                    print(gene, rxn)\n",
+    "\n",
+    "\n",
+    "\n",
+    "    overall_list = []\n",
+    "    for reaction in rxn_set:\n",
+    "        compound_set = set()\n",
+    "        function = \"substrates-of-reaction\"\n",
+    "        name = reaction\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Compound']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for compound in o:\n",
+    "            if type(compound) is not str:\n",
+    "                compound_set.add(compound['@frameid'])\n",
+    "            else:\n",
+    "                print(reaction, compound)\n",
+    "\n",
+    "        overall_list.append(compound_set)\n",
+    "\n",
+    "    condition_df.at[i, \"Reactions\"] = rxn_set | added_rxn_set\n",
+    "    # condition_df.at[i, \"Reactions\"].update(added_rxn_set)\n",
+    "    condition_df.at[i, \"Substrates\"] = overall_list\n",
+    "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
+    "    # This is to create the control"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.555373Z",
+     "start_time": "2023-07-12T17:11:26.161786Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 364,
+   "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.614637Z",
+     "start_time": "2023-07-12T17:11:26.584825Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                 Demand  \\\n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}   \n2                  {}     {}                     {}   \n3                  {}     {}                     {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 364,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bed4cb3d-8c43-44a6-9677-2769b81ade20",
+   "metadata": {},
+   "source": [
+    "## Quick and dirty but workhorse loop (after init)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 365,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished Testing L-Selenocysteine\n",
+      "Finished Testing Fe-S Clusters\n",
+      "Finished Testing L-Selenocysteine CONTROL\n",
+      "Finished Testing Fe-S Clusters CONTROL\n"
+     ]
+    }
+   ],
+   "source": [
+    "results_df = pd.DataFrame(columns=[\"Environment\", \"Reaction\", \"Flux\"])\n",
+    "zero_df = pd.DataFrame()\n",
+    "all_flux = []\n",
+    "\n",
+    "reactions_add = {\"putative-L-selenocysteine-synthesis\": {'SEPO3[c]': -1, 'SER[c]': -1, 'Pi[c]': 1, 'L-SELENOCYSTEINE[c]': 1},\n",
+    "                 \"cysteine-desulfurase-FeS-cluster-assembly\": {'CYS[c]': -1, 'L-ALPHA-ALANINE[c]': 1, 'S-SULFANYL-IscS[c]': 1},\n",
+    "                 \"iron-transport-FeS-cluster-assembly\": {'FE+2[c]': -1, 'DISORDERED-FdS-IscU[c]': 1},\n",
+    "                 \"complex-formation-FeS-cluster-assembly\": {'DISORDERED-FdS-IscU[c]': -1, 'S-SULFANYL-IscS[c]': -1, 'S-SULFANYL-DISORDERED-FdS-IscU[c]': 1},\n",
+    "                 \"cluster-transport-FeS-cluster-assembly\": {'S-SULFANYL-DISORDERED-FdS-IscU[c]': -1, 'ATP[c]': -1, 'ADP[c]': 1, 'CPD-6[c]': 1}\n",
+    "                 # Insert other added reactions here\n",
+    "                 }\n",
+    "\n",
+    "metabolites_add = ['S-SULFANYL-IscS[c]', 'DISORDERED-FdS-IscU[c]', 'S-SULFANYL-DISORDERED-FdS-IscU[c]', 'CPD-6[c]']\n",
+    "\n",
+    "catalyst_add = {\"putative-L-selenocysteine-synthesis\": 'CPLX0-1141[c]',\n",
+    "                \"cysteine-desulfurase-FeS-cluster-assembly\": 'G7325-MONOMER[c]',\n",
+    "                \"iron-transport-FeS-cluster-assembly\": 'EG12132-MONOMER[c]',\n",
+    "                \"complex-formation-FeS-cluster-assembly\": 'G7324-MONOMER[c]',\n",
+    "                \"cluster-transport-FeS-cluster-assembly\": 'HSC-Complex[c]'}\n",
+    "\n",
+    "for i in range(len(condition_df)):\n",
+    "    metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "    reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
+    "    metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "    catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}\n",
+    "\n",
+    "    new_stoich = metabolism.stoichiometry.copy()\n",
+    "    new_metabolites = metabolism.metabolite_names.copy()\n",
+    "    new_reaction_names = metabolism.reaction_names.copy()\n",
+    "\n",
+    "    condition_idx = i\n",
+    "\n",
+    "    uptake = metabolism.allowed_exchange_uptake\n",
+    "\n",
+    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
+    "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
+    "    if new_demand != set():\n",
+    "        for met in new_demand:\n",
+    "            homeostatic[met] = 100\n",
+    "\n",
+    "    uptake = set(uptake)\n",
+    "\n",
+    "    addition = condition_df.at[condition_idx, \"Add\"]\n",
+    "    removals = condition_df.at[condition_idx, \"Remove\"]\n",
+    "\n",
+    "    uptake = uptake | addition\n",
+    "    uptake = uptake - removals\n",
+    "\n",
+    "    for reaction in condition_df.at[condition_idx, \"Reactions\"]:\n",
+    "        if reaction in catalyst_add:\n",
+    "            catalyst_idx[catalyst_add[reaction]] = len(catalyst_idx)\n",
+    "\n",
+    "        if reaction in reactions_add:\n",
+    "            for metabolite in reactions_add[reaction]:\n",
+    "                if metabolite in metabolites_add:\n",
+    "                    new_row = np.zeros([1, np.shape(new_stoich)[1]])\n",
+    "                    new_stoich = np.append(new_stoich, new_row, axis=0)\n",
+    "                    new_metabolites.append(metabolite)\n",
+    "                    metabolites_idx[metabolite] = len(metabolites_idx)\n",
+    "\n",
+    "            new_reaction_names.append(reaction)\n",
+    "            new_col = np.zeros([len(new_stoich),1])\n",
+    "            new_stoich = np.append(new_stoich, new_col, axis=1)\n",
+    "\n",
+    "            for species, coefficient in reactions_add[reaction].items():\n",
+    "                i = metabolites_idx[species]\n",
+    "                new_stoich[i, np.shape(new_stoich)[1] - 1] = coefficient\n",
+    "\n",
+    "            # now adds an entry for every reaction, list can be empty\n",
+    "            reaction_catalysts[reaction] = [catalyst_add[reaction]]\n",
+    "            # Taken from reconstruction/ecoli.../complexation reactions to find the complex that the gene forms\n",
+    "            enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]\n",
+    "            metabolism.catalyzed_rxn_enzymes_idx.append(enzyme_idx)\n",
+    "\n",
+    "    model = NetworkFlowModel(\n",
+    "            stoich_arr=new_stoich,\n",
+    "            metabolites=new_metabolites,\n",
+    "            reactions=new_reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)\n",
+    "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
+    "\n",
+    "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "    solution: FlowResult = model.solve(\n",
+    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "                maintenance_target=maintenance,\n",
+    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "                binary_kinetic_idx=[],\n",
+    "                objective_weights=objective_weights,\n",
+    "                upper_flux_bound=100000000)\n",
+    "\n",
+    "    # Check flux\n",
+    "    fluxes = pd.Series(solution.velocities, index=new_reaction_names)\n",
+    "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
+    "    fluxes.columns = [\"Flux\"]\n",
+    "    all_flux.append(fluxes)\n",
+    "\n",
+    "    if condition_df.at[condition_idx, \"Environment\"][-7:] == \"CONTROL\":\n",
+    "        control_df = pd.DataFrame()\n",
+    "        flux_threshold = 100\n",
+    "        for j, k in enumerate(fluxes.index):\n",
+    "            mask = abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold\n",
+    "            if mask.any():\n",
+    "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          fluxes.index[j],\n",
+    "                         (all_flux[condition_idx - length][k] - fluxes[k]) / (fluxes[k] + 0.01) ]], columns=[\"Environment\", \"Reaction\", \"(Experiment - Control)/(Control + 0.01) Flux\"]))\n",
+    "        if len(control_df) > 0:\n",
+    "            control_df = control_df.sort_values(by=[\"(Experiment - Control)/(Control + 0.01) Flux\"], ascending=False)\n",
+    "        # Getting some weird issues with logic on series\n",
+    "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
+    "    else:\n",
+    "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
+    "        relevant_rxn_idx = []\n",
+    "\n",
+    "        for rxn in relevant_rxns:\n",
+    "            relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
+    "\n",
+    "        relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
+    "\n",
+    "        relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
+    "        zero_fluxes = relevant_fluxes[relevant_fluxes == 0]\n",
+    "\n",
+    "        for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
+    "            results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          relevant_nonzero_fluxes.index[j],\n",
+    "                          relevant_nonzero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "        for j, k in enumerate(zero_fluxes.index):\n",
+    "            zero_df = zero_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          zero_fluxes.index[j],\n",
+    "                          zero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
+    "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.162735Z",
+     "start_time": "2023-07-12T17:11:26.626584Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 366,
+   "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.196351Z",
+     "start_time": "2023-07-12T17:11:44.171871Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 366,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
+    "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
+    "results_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 367,
+   "outputs": [],
+   "source": [
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
+    "# g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
+    "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.196625Z",
+     "start_time": "2023-07-12T17:11:44.179350Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 368,
+   "outputs": [],
+   "source": [
+    "import textwrap\n",
+    "\n",
+    "def wrap_x_labels(ax, width, break_long_words=False):\n",
+    "    labels = []\n",
+    "    for label in ax.get_xticklabels():\n",
+    "        text = label.get_text()\n",
+    "        labels.append(textwrap.fill(text, width=width,\n",
+    "                      break_long_words=break_long_words))\n",
+    "    ax.set_xticklabels(labels, rotation=0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.197304Z",
+     "start_time": "2023-07-12T17:11:44.190801Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 369,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 600x600 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
+    "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
+    "ax.set_title(\"Non-zero Fluxes\")\n",
+    "ax = sns.barplot(data=results_df, x=\"Environment\", y=\"log(Flux)\", ax=ax, hue=\"Reaction\")\n",
+    "ax.legend(bbox_to_anchor=(1, 1), title='Reactions', loc='upper left', ncol = 1)\n",
+    "wrap_x_labels(ax, 10)\n",
+    "fig = ax.get_figure()\n",
+    "plt.show(fig)\n",
+    "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.935925Z",
+     "start_time": "2023-07-12T17:11:44.288413Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 369,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.936216Z",
+     "start_time": "2023-07-12T17:11:44.787107Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 964f98e25..792a4e74a 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -688,7 +688,7 @@
     "\n",
     "        # now adds an entry for every reaction, list can be empty\n",
     "        reaction_catalysts[\"putative-L-selenocysteine-synthesis\"] = ['CPLX0-1141[c]']\n",
-    "        # 'EG10941-MONOMER[i]' should be the reaction catalyst?\n",
+    "        # Taken from reconstruction/ecoli.../complexation reactions to find the complex that the gene forms\n",
     "        enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]\n",
     "        metabolism.catalyzed_rxn_enzymes_idx.append(enzyme_idx)\n",
     "\n",
@@ -785,21 +785,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 26,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T22:29:22.160768Z",
-     "start_time": "2023-07-10T22:29:21.864923Z"
+     "end_time": "2023-07-11T22:13:00.470763Z",
+     "start_time": "2023-07-11T22:13:00.445723Z"
     }
    },
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.series.Series'>\n"
+     ]
+    },
     {
      "data": {
       "text/plain": "                Environment                             Reaction   Flux  \\\n0  Testing L-Selenocysteine  putative-L-selenocysteine-synthesis  100.0   \n\n   log(Flux)  \n0        2.0  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 22,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }

From a6e3088ed9bfa2cd288060d26933565489974b1d Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 12 Jul 2023 15:23:40 -0700
Subject: [PATCH 18/58] Test adding a putative Fe-S cluster synthesis pathway
 in a separate notebook

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 157 ++++++++++--------
 1 file changed, 84 insertions(+), 73 deletions(-)

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index 31aa9fa2d..0a3149879 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 355,
+   "execution_count": 375,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:19.249069Z",
-     "start_time": "2023-07-12T17:11:19.061463Z"
+     "end_time": "2023-07-12T22:22:10.028977Z",
+     "start_time": "2023-07-12T22:22:09.878464Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 356,
+   "execution_count": 376,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:19.311558Z",
-     "start_time": "2023-07-12T17:11:19.088484Z"
+     "end_time": "2023-07-12T22:22:10.029278Z",
+     "start_time": "2023-07-12T22:22:09.884783Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 357,
+   "execution_count": 377,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:21.544481Z",
-     "start_time": "2023-07-12T17:11:19.104231Z"
+     "end_time": "2023-07-12T22:22:14.434500Z",
+     "start_time": "2023-07-12T22:22:09.891419Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 358,
+   "execution_count": 378,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +101,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:25.269951Z",
-     "start_time": "2023-07-12T17:11:21.551914Z"
+     "end_time": "2023-07-12T22:22:17.265062Z",
+     "start_time": "2023-07-12T22:22:14.439240Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 359,
+   "execution_count": 379,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +118,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:25.365464Z",
-     "start_time": "2023-07-12T17:11:25.283457Z"
+     "end_time": "2023-07-12T22:22:17.312932Z",
+     "start_time": "2023-07-12T22:22:17.277982Z"
     }
    }
   },
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 360,
+   "execution_count": 380,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.042970Z",
-     "start_time": "2023-07-12T17:11:25.367327Z"
+     "end_time": "2023-07-12T22:22:17.716286Z",
+     "start_time": "2023-07-12T22:22:17.306570Z"
     }
    },
    "outputs": [
@@ -148,7 +148,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 360,
+     "execution_count": 380,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 361,
+   "execution_count": 381,
    "outputs": [],
    "source": [
     "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
@@ -175,28 +175,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.055204Z",
-     "start_time": "2023-07-12T17:11:26.046570Z"
+     "end_time": "2023-07-12T22:22:17.724732Z",
+     "start_time": "2023-07-12T22:22:17.716689Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 362,
+   "execution_count": 382,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.145449Z",
-     "start_time": "2023-07-12T17:11:26.065020Z"
+     "end_time": "2023-07-12T22:22:17.776288Z",
+     "start_time": "2023-07-12T22:22:17.729792Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                 Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 362,
+     "execution_count": 382,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 363,
+   "execution_count": 383,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -275,28 +275,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.555373Z",
-     "start_time": "2023-07-12T17:11:26.161786Z"
+     "end_time": "2023-07-12T22:22:18.292268Z",
+     "start_time": "2023-07-12T22:22:17.790646Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 364,
+   "execution_count": 384,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.614637Z",
-     "start_time": "2023-07-12T17:11:26.584825Z"
+     "end_time": "2023-07-12T22:22:18.339861Z",
+     "start_time": "2023-07-12T22:22:18.325368Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                 Demand  \\\n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}   \n2                  {}     {}                     {}   \n3                  {}     {}                     {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2                  {}     {}                        {}   \n3                  {}     {}                        {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 364,
+     "execution_count": 384,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 365,
+   "execution_count": 385,
    "outputs": [
     {
      "name": "stdout",
@@ -349,7 +349,7 @@
     "                \"complex-formation-FeS-cluster-assembly\": 'G7324-MONOMER[c]',\n",
     "                \"cluster-transport-FeS-cluster-assembly\": 'HSC-Complex[c]'}\n",
     "\n",
-    "for i in range(len(condition_df)):\n",
+    "for j in range(len(condition_df)):\n",
     "    metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
     "    reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
     "    metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
@@ -359,7 +359,7 @@
     "    new_metabolites = metabolism.metabolite_names.copy()\n",
     "    new_reaction_names = metabolism.reaction_names.copy()\n",
     "\n",
-    "    condition_idx = i\n",
+    "    condition_idx = j\n",
     "\n",
     "    uptake = metabolism.allowed_exchange_uptake\n",
     "\n",
@@ -367,7 +367,33 @@
     "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
     "    if new_demand != set():\n",
     "        for met in new_demand:\n",
-    "            homeostatic[met] = 100\n",
+    "            homeostatic[met] = 0\n",
+    "            flat_demand_add = 100\n",
+    "\n",
+    "            # reactions_with_met = []\n",
+    "            # function = \"reactions-of-compound\"\n",
+    "            # name = met[:-3]\n",
+    "            # req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "            #\n",
+    "            # r = s.get(req_str)\n",
+    "            # o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "            # if type(o) is dict:\n",
+    "            #     o = [o]\n",
+    "            # for rxn in o:\n",
+    "            #     if type(rxn) is not str: # no rxns\n",
+    "            #             reactions_with_met.append(rxn['@frameid'])\n",
+    "            #     else:\n",
+    "            #         function = \"substrates-of-reaction\"\n",
+    "            #         req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn}&detail=low\"\n",
+    "            #         r = s.get(req_str)\n",
+    "            #         o = xmltodict.parse(r.content)['ptools-xml']['right']\n",
+    "            #         if type(o) is dict:\n",
+    "            #             o = [o]\n",
+    "            #         for rxn in o:\n",
+    "            #             print(rxn)\n",
+    "\n",
+    "            homeostatic[met] += flat_demand_add\n",
+    "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
     "\n",
@@ -390,7 +416,7 @@
     "                    metabolites_idx[metabolite] = len(metabolites_idx)\n",
     "\n",
     "            new_reaction_names.append(reaction)\n",
-    "            new_col = np.zeros([len(new_stoich),1])\n",
+    "            new_col = np.zeros([len(new_stoich), 1])\n",
     "            new_stoich = np.append(new_stoich, new_col, axis=1)\n",
     "\n",
     "            for species, coefficient in reactions_add[reaction].items():\n",
@@ -431,14 +457,12 @@
     "        control_df = pd.DataFrame()\n",
     "        flux_threshold = 100\n",
     "        for j, k in enumerate(fluxes.index):\n",
-    "            mask = abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold\n",
-    "            if mask.any():\n",
+    "            if abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold:\n",
     "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
     "                          fluxes.index[j],\n",
     "                         (all_flux[condition_idx - length][k] - fluxes[k]) / (fluxes[k] + 0.01) ]], columns=[\"Environment\", \"Reaction\", \"(Experiment - Control)/(Control + 0.01) Flux\"]))\n",
     "        if len(control_df) > 0:\n",
     "            control_df = control_df.sort_values(by=[\"(Experiment - Control)/(Control + 0.01) Flux\"], ascending=False)\n",
-    "        # Getting some weird issues with logic on series\n",
     "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
     "    else:\n",
     "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
@@ -468,19 +492,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.162735Z",
-     "start_time": "2023-07-12T17:11:26.626584Z"
+     "end_time": "2023-07-12T22:22:34.245065Z",
+     "start_time": "2023-07-12T22:22:18.391087Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 366,
+   "execution_count": 386,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.196351Z",
-     "start_time": "2023-07-12T17:11:44.171871Z"
+     "end_time": "2023-07-12T22:22:34.265812Z",
+     "start_time": "2023-07-12T22:22:34.256581Z"
     }
    },
    "outputs": [
@@ -489,7 +513,7 @@
       "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 366,
+     "execution_count": 386,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -502,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 367,
+   "execution_count": 387,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -512,14 +536,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.196625Z",
-     "start_time": "2023-07-12T17:11:44.179350Z"
+     "end_time": "2023-07-12T22:22:34.279574Z",
+     "start_time": "2023-07-12T22:22:34.264640Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 368,
+   "execution_count": 388,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -535,14 +559,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.197304Z",
-     "start_time": "2023-07-12T17:11:44.190801Z"
+     "end_time": "2023-07-12T22:22:34.301881Z",
+     "start_time": "2023-07-12T22:22:34.274962Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 369,
+   "execution_count": 389,
    "outputs": [
     {
      "data": {
@@ -567,21 +591,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.935925Z",
-     "start_time": "2023-07-12T17:11:44.288413Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 369,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.936216Z",
-     "start_time": "2023-07-12T17:11:44.787107Z"
+     "end_time": "2023-07-12T22:22:34.863195Z",
+     "start_time": "2023-07-12T22:22:34.325597Z"
     }
    }
   }

From b19970831e4985dfb891c218f62ddfbbcb2bf970 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 12 Jul 2023 16:45:45 -0700
Subject: [PATCH 19/58] Commit for bug-finding on Fd-S pathway

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 196 ++++++++----------
 1 file changed, 91 insertions(+), 105 deletions(-)

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index 0a3149879..0791a28fb 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 375,
+   "execution_count": 445,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:10.028977Z",
-     "start_time": "2023-07-12T22:22:09.878464Z"
+     "end_time": "2023-07-12T23:14:58.222988Z",
+     "start_time": "2023-07-12T23:14:58.164248Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 376,
+   "execution_count": 446,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:10.029278Z",
-     "start_time": "2023-07-12T22:22:09.884783Z"
+     "end_time": "2023-07-12T23:14:58.304081Z",
+     "start_time": "2023-07-12T23:14:58.174130Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 377,
+   "execution_count": 447,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:14.434500Z",
-     "start_time": "2023-07-12T22:22:09.891419Z"
+     "end_time": "2023-07-12T23:15:00.657380Z",
+     "start_time": "2023-07-12T23:14:58.187192Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 378,
+   "execution_count": 448,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +101,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.265062Z",
-     "start_time": "2023-07-12T22:22:14.439240Z"
+     "end_time": "2023-07-12T23:15:02.229964Z",
+     "start_time": "2023-07-12T23:15:00.662454Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 379,
+   "execution_count": 449,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +118,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.312932Z",
-     "start_time": "2023-07-12T22:22:17.277982Z"
+     "end_time": "2023-07-12T23:15:02.278892Z",
+     "start_time": "2023-07-12T23:15:02.243501Z"
     }
    }
   },
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 380,
+   "execution_count": 450,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.716286Z",
-     "start_time": "2023-07-12T22:22:17.306570Z"
+     "end_time": "2023-07-12T23:15:02.769478Z",
+     "start_time": "2023-07-12T23:15:02.270539Z"
     }
    },
    "outputs": [
@@ -148,7 +148,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 380,
+     "execution_count": 450,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 381,
+   "execution_count": 451,
    "outputs": [],
    "source": [
     "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
@@ -175,28 +175,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.724732Z",
-     "start_time": "2023-07-12T22:22:17.716689Z"
+     "end_time": "2023-07-12T23:15:02.777873Z",
+     "start_time": "2023-07-12T23:15:02.774375Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 382,
+   "execution_count": 452,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.776288Z",
-     "start_time": "2023-07-12T22:22:17.729792Z"
+     "end_time": "2023-07-12T23:15:02.824055Z",
+     "start_time": "2023-07-12T23:15:02.776819Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment                                 Genes  \\\n0  Testing L-Selenocysteine                             {EG10941}   \n1     Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2          Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 382,
+     "execution_count": 452,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 383,
+   "execution_count": 453,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -275,28 +275,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:18.292268Z",
-     "start_time": "2023-07-12T22:22:17.790646Z"
+     "end_time": "2023-07-12T23:15:06.376638Z",
+     "start_time": "2023-07-12T23:15:02.837581Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 384,
+   "execution_count": 454,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:18.339861Z",
-     "start_time": "2023-07-12T22:22:18.325368Z"
+     "end_time": "2023-07-12T23:15:06.409258Z",
+     "start_time": "2023-07-12T23:15:06.400414Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2                  {}     {}                        {}   \n3                  {}     {}                        {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        Environment                                 Genes  \\\n0          Testing L-Selenocysteine                             {EG10941}   \n1             Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2                  Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n3  Testing L-Selenocysteine CONTROL                                    {}   \n4     Testing Fe-S Clusters CONTROL                                    {}   \n5          Vitamin B Uptake CONTROL                                    {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}   \n3                  {}     {}                        {}   \n4                  {}     {}                        {}   \n5                  {}     {}                        {}   \n\n                                           Reactions  \\\n0              {putative-L-selenocysteine-synthesis}   \n1  {iron-transport-FeS-cluster-assembly, complex-...   \n2  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n3              {putative-L-selenocysteine-synthesis}   \n4  {iron-transport-FeS-cluster-assembly, complex-...   \n5  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n\n                                          Substrates  \n0                                                 []  \n1                                                 []  \n2  [{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...  \n3                                                 []  \n4                                                 []  \n5                                                 []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Vitamin B Uptake CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 384,
+     "execution_count": 454,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,16 +315,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 385,
+   "execution_count": 458,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "100\n",
       "Finished Testing L-Selenocysteine\n",
+      "100\n",
       "Finished Testing Fe-S Clusters\n",
+      "100\n",
+      "Finished Vitamin B Uptake\n",
       "Finished Testing L-Selenocysteine CONTROL\n",
-      "Finished Testing Fe-S Clusters CONTROL\n"
+      "Finished Testing Fe-S Clusters CONTROL\n",
+      "Finished Vitamin B Uptake CONTROL\n"
      ]
     }
    ],
@@ -369,30 +374,43 @@
     "        for met in new_demand:\n",
     "            homeostatic[met] = 0\n",
     "            flat_demand_add = 100\n",
-    "\n",
-    "            # reactions_with_met = []\n",
-    "            # function = \"reactions-of-compound\"\n",
-    "            # name = met[:-3]\n",
-    "            # req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
-    "            #\n",
-    "            # r = s.get(req_str)\n",
-    "            # o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
-    "            # if type(o) is dict:\n",
-    "            #     o = [o]\n",
-    "            # for rxn in o:\n",
-    "            #     if type(rxn) is not str: # no rxns\n",
-    "            #             reactions_with_met.append(rxn['@frameid'])\n",
-    "            #     else:\n",
-    "            #         function = \"substrates-of-reaction\"\n",
-    "            #         req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn}&detail=low\"\n",
-    "            #         r = s.get(req_str)\n",
-    "            #         o = xmltodict.parse(r.content)['ptools-xml']['right']\n",
-    "            #         if type(o) is dict:\n",
-    "            #             o = [o]\n",
-    "            #         for rxn in o:\n",
-    "            #             print(rxn)\n",
+    "            if met not in metabolites_add:\n",
+    "                function = \"reactions-of-compound\"\n",
+    "                name = met[:-3]\n",
+    "                req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "                r = s.get(req_str)\n",
+    "                o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "                if type(o) is dict:\n",
+    "                    o = [o]\n",
+    "                for rxn in o:\n",
+    "                    if type(rxn) is not str: # no rxns\n",
+    "                        function = \"substrates-of-reaction\"\n",
+    "                        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn['@frameid']}&detail=low\"\n",
+    "                        r = s.get(req_str)\n",
+    "                        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']['left']\n",
+    "                        right = xmltodict.parse(r.content)['ptools-xml']['Reaction']['right']\n",
+    "                        if type(o) is dict:\n",
+    "                            o = [o]\n",
+    "                        if type(right) is dict:\n",
+    "                            right = [right]\n",
+    "                        for compound in o:\n",
+    "                            if type(compound) is not str:\n",
+    "                                try:\n",
+    "                                    if compound['Compound']['@frameid'] == met:\n",
+    "                                        for demand_compound in right:\n",
+    "                                            if type(demand_compound) is not str:\n",
+    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
+    "                                except:\n",
+    "                                    if compound['Protein']['@frameid'] == met:\n",
+    "                                        for demand_compound in right:\n",
+    "                                            if type(demand_compound) is not str:\n",
+    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
+    "                                finally:\n",
+    "                                    pass\n",
     "\n",
     "            homeostatic[met] += flat_demand_add\n",
+    "            print(homeostatic[met])\n",
     "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
@@ -492,32 +510,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.245065Z",
-     "start_time": "2023-07-12T22:22:18.391087Z"
+     "end_time": "2023-07-12T23:43:40.896996Z",
+     "start_time": "2023-07-12T23:43:07.660721Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 386,
+   "execution_count": null,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.265812Z",
-     "start_time": "2023-07-12T22:22:34.256581Z"
+     "start_time": "2023-07-12T23:15:14.873132Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "execution_count": 386,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
@@ -526,7 +533,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 387,
+   "execution_count": null,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -534,16 +541,12 @@
     "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
    ],
    "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.279574Z",
-     "start_time": "2023-07-12T22:22:34.264640Z"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 388,
+   "execution_count": null,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -557,26 +560,13 @@
     "    ax.set_xticklabels(labels, rotation=0)"
    ],
    "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.301881Z",
-     "start_time": "2023-07-12T22:22:34.274962Z"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 389,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<Figure size 600x600 with 1 Axes>",
-      "image/png": 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naOW3xLTnlStX1KdPH0lRveNq1qxpvs7GjRvVs2dP9ezZUxs2bFDWrFlfeu9Nmzbp9OnTKleunObMmWP+Wn348KG8vb31zz//aMuWLapTp47y58+v999/X35+ftq6dWuM9l6xYoUMBkOMFbkS+nwva3OT4OBgrV69WgULFpQk3bt3T56engoMDNSaNWv06aefmp+hW7duCg4O1oABA+Tt7W3+2jp06JA6deqkwYMHq3jx4ipatKgkacKECTIajZo1a1a09+qSJUvMX1Om1+J12xPWhR4/AAAAsJisWbNq2LBh5tBHihrWValSJQUFBb30N9ivInXq1KpcubK+++478wcfSTIYDPL29pYU9WHt2bNnr3R9U8j07yFjwcHB2rlzp1KlSqVatWpJiuqZ4ePjo1SpUkULNyQpbdq0GjVqlOzt7bVo0SKLDcMwDVHJmTOn+YOpJGXPnl3Dhg3TyJEjzR+YQ0NDNW/ePEnSmDFjzKGPJKVMmVJDhgxRhgwZtGXLFnPvldi8brv069fPXJMk5cqVSx999JGkqGFIJrNnz5Ykde3aNdoHaUlq1KiRWrVqpdDQUM2dO9e8/ffff5ckDRo0yBz6SFHvq759++q9997TnTt3JEl169ZVqlSptG/fvmhDfYxGo1auXCmDwaAmTZqYn9loNCp16tTRJgu3tbVVjx49NGDAADVo0CDONjP5+++/tX//fuXMmVODBw82hz6S5OLiYh6WOGvWrJdeyySh7Tl//nw9f/5c7du3jxb6SFLt2rXVrFkzPX78WH/88UeC7mtqMxcXl2hfq2nTptWgQYP0888/m0MRSfLy8pKkaMM6Jenw4cO6cuWKypUrZ+759yrPlxDffPONOfSRpIwZM5q/J5w+fdq8fdmyZQoKClK9evXUqlWraF9bZcuWVadOnRQeHq45c+aYt5va49/P0KxZM/Xv3189evSItydXYtsT1oPgBwAAABZTq1atWFcSMgUj+/btS/J7fvXVV5o5c2a0iU+fPHmiEydOaPXq1eZtrzrkoXz58sqWLZuOHTumGzdumLdv3LhRz58/V+3ateXo6Cgp6jf74eHhKlq0aLRww8TFxUWFCxfWs2fPdOzYsVeq53V5eHhIiurJ0717d/n4+JiDjSpVqqhRo0bm3hv//POPHj58qOzZsytv3rwxruXk5KRy5crJaDTqwIEDcd7zddrFxsbG3PvoRaYeNKY5eCIiIuTn5ydJqlevXqx1mLb/9ddfkqLCmcuXL8vJyUkffPBBjOPff/99bd68Wf379zc/b7169RQZGSkfHx/zcQcPHtS1a9f0wQcfKGfOnJKihhGmT5/e3NtkxowZ+ueff2Q0GpU9e3a1atVK77//fpxtZmKqtUyZMtECVZMSJUooQ4YMCgwM1OXLl196vYS2pxQ1/4wkVahQIdZrVatWTZLife1fZHrv+fr66osvvtCSJUvk7+8vKer5mjZtGi18q127ttKmTRsjaFu+fLmk/w0He9XnS4h/z6kjyRyABgcHm7eZ2iq295H0v7YyvZ7S/9qjZcuWGjlypPbv36/Q0FDZ2NioTZs2qlWrVrQA6d8S256wHgz1AgAAgMXE9SEjW7ZskhTnhKivKzAwUIsWLdKhQ4d05coV3bt3T5KifWh61WWbbWxs1LBhQ02bNk1r165Vp06dJP1vmNeLw85MEzwfOnQoznmDTAICAiRJw4YNi3X+oM6dO7/SKj6bN2/W5s2bY2wvW7asmjdvrk8++URnzpzRzJkztXHjRm3cuFGSVKRIEdWoUUMtWrRQpkyZoj3PzZs3X/o8L05uHde+xLSLiZOTU7TeDCZ2dlEffSIjIyVFze0SGhqqFClSmD/k/1uuXLkkRQU+L/7XxcVFNjYJ+x168+bNtWTJEq1atUpffvmlpP8FES8OO0qZMqUmTZqkb7/9VufOndOYMWM0ZswYZcyYUVWqVFGTJk1iDRX+zdR2Pj4+0cKm2AQEBMQa0L0ooe1pup4ktWnTJkE1Hj58WIsXL46xP3/+/OrcubNKlCihAQMGaNSoUdqzZ4/27NkjKer7hum9Z3qNpKg2bNCggRYsWCAfHx99+eWXCgkJ0caNG5U2bVpzoPyqz5cQadKkibHNNKdQeHi4eZuprfr3728OCmNz584dhYWFyd7eXkOGDFG3bt107NgxzZkzR3PmzJGjo6PKly+vevXqqU6dOvG+LxPbnrAeBD8AAACwmLg+pJhCF9OHr/hEREQk6p6bNm1Sz549FRYWpsyZM6tEiRLKly+fChcurHLlyqlKlSqJul5sPD09owU/AQEBOnTokHLlyhWt14bpOfPmzSs3N7d4r2kairJ161bzb+lf1KxZs1cKfs6ePRtjWJoU1fbNmzeXJPXo0UPe3t7aunWr9u7dKz8/P50+fVqnT5/WvHnzNG/ePLm5uZmfJ2vWrCpXrly89zVNmB2bV2kXk/h6PMR2j/iY3lumnjOmD+4JvYckFStWTMWKFdOpU6d07NgxFShQQJs3b1a6dOlUo0aNaMeWKVNGW7du1Z49e7Rr1y4dOHBAV65c0cqVK7Vy5Up16tRJPXr0iPd+pqCiWLFi8baxFHtI8W+JeVbTvWvXrh1rmGJiGn527dq1WN975cqVU+fOnSVJrVq1Ut26dbVt2zbt2bPHHNbOmjVL8+fP16RJk1S1alXzuc2aNdOCBQvMQduGDRv09OlTNW3aNNbehYl5voRIaCBoaqvKlSsrbdq08R4bHh4ue3t7Zc2aVUuWLNHRo0e1Y8cO7d+/X6dOndKOHTu0Y8cOLV26VLNnz4637RPbnrAOBD8AAACwmLh69JiGSJmGSJg+nL34G3OTR48eJfh+T5480ffff6+wsDD9+OOPMebWePDgQYKvFZ/33ntPpUuX1pEjR3Tu3Dnt3LlTRqNRjRo1ina/zJkzS4r6kB7XZLH/tn379iSp0aRr167xTlhtkjVrVrVq1UqtWrVSZGSkjh07ptGjR8vPz0/jxo3TrFmzzM+TPXv2BD9PbF6lXRIrXbp0cnBw0PPnz3X79u1Ye/1cu3ZNksw9mkx1BQYGymg0xhoa/PHHH8qaNauqVq1q7unRrFkznTp1Shs2bJCbm5uePXum5s2bxzoUy8HBQR999JF5jhlT77Rp06ZpxowZ8vb2jndiZNNzVKpU6aUhUVLLnDmz/P391aNHjwQNGfL09IzWAy4u6dKlU5MmTczzIZ05c0YTJkzQtm3bNHLkyGhBhWk1tePHj+vMmTPmyZj/PamzpWXOnFmXL19W27Zt9eGHHybqXHd3d7m7u0uKWp59y5YtGjJkiA4cOJCgyZkT056wDszxAwAAYCGpU6VI9n/eNFMg8m+bNm2SFPXbcOl/PQRMc8u86MiRI7FeO7YP5efPn1dwcLDSp0+vTz/9NMYxu3fvNv/9xSEer9IrwPSBdsuWLVq/fr0MBoMaNWoU7ZiyZcvKYDBo3759sc4l8uTJEzVo0EAtW7bUxYsXE11DUvjhhx/04YcfmufDkaJ6NZQuXVrdu3eX9L9hK8WLF5ejo6NOnjwZa6hnNBrVunVreXl56eDBg3He8220i52dnUqXLi1JMZZsNzFtN82NkiNHDmXLlk2PHz+Otf4zZ85o0KBB+umnn6ItGV6/fn05OTlp8+bN2rJli6SY881s27ZNH3/8sQYOHBhtu4uLi3r06KEcOXIoMjLS3K5xvSdNPa22b98e69dWYGCgatWqpdatWydZ0Gliaqdt27bFun/+/PmqV6+exo4dm6DrTZw4UVWqVInRK6hw4cLm4VH/Huon/W+S52XLlungwYNyc3NT4cKFE/wccUnK3kEva6vNmzerdu3a6tevn6So4XGNGjWKMcG3s7OzGjdubB7GFt8QyldtT7z76PEDAABgIaN71bd0CRZn+k1zt27dzB+qZs6cqb/++ku5c+c2D4UpXLiweSiDp6enUqVKJUk6evRotBWXXpQyZUpJ0XsEmSYKvn//vg4fPhxtzpT9+/ebVzySpOfPn8e41sOHDxP8bJ988ol+/vlnLVu2TAEBASpXrpx5Il+TnDlzqlatWtq0aZN69OihYcOGKUOGDJKiVsj68ccfdfbsWeXLl++lw3beFBcXF929e1djxozRjBkz5OzsLCkqGFu7dq2kqLlDJMnR0VEtW7bUnDlz1LVrV40ZM8Y8Z0hERITGjBmjgwcPKl26dPEO4Xpb7dKuXTv99ddfmjBhglxdXaNNtOvj46PFixfL3t7evNqbFLXq3KhRo/TTTz9pzpw55vmoHj16pJ9++knS/4IHE2dnZ33yySdasWKFAgMDVapUqWgrP0lRPVWuXr2qwMBANWzY0BxKSVGTIQcEBChVqlTm531x2NLDhw/Nw4XKlSun4sWL68SJE/rhhx/Uv39/89dLSEiIevfuratXrypXrlzRVg9LCm3atJGvr68mTpyoHDlyqHbt2uZ9fn5+mjBhgkJCQszzXr1Mzpw5FRgYqEmTJql8+fLmHleSzBOxFy9ePMZ5derU0fDhw/XHH38oMjIy1kmdX0Vcbf4qvLy8NGfOHC1evFj58+ePtpz7xYsXNXToUN26dUuNGzeWFNWLLjg4WDdu3NC8efPUtm1b87Vu3bplniza9LUYm1dtT7z7CH4AAABgMdmyZdOUKVO0YcMGubq66uLFizp//rzSp0+vMWPGmAOXFi1aaNGiRTp37pxq1aql0qVL6+7duzp69Kjq1q0b6+TEpklrJ02aJD8/PzVs2FA1atRQrVq1tHnzZn322WcqU6aM0qVLp8uXL+vcuXNKnz69MmfOrDt37uju3bvmITWmD9tLly5VQECAqlSpEuPD/b85OzurRo0a5t+uxzWkZfDgwbp27Zp27NihGjVqyM3NTalSpdLx48d17949pU+fXhMmTEh0b4OjR4/GO4TExcVFK1aseOl12rVrp61bt8rPz0/Vq1dXyZIl5eDgoNOnT8vf319Zs2aNNlSsR48eOnv2rP7880/VrVtXbm5uypAhg06dOqWbN28qZcqUmjBhQrRlxmPzptrlRVWqVFHXrl01ceJEff755ypZsqSyZ8+uixcv6ty5c3JwcNCQIUOi9RZp27atjhw5oq1bt6p27doqV66cbG1tdfToUT148EBlypRRx44dY9yrefPmWrFihSIjI2MddpQzZ051795d48aNk7e3t0qVKqUsWbLo9u3bOnbsmIxGo/r162cO3hwcHJQzZ07duHFDn376qfLkyaMRI0YoVapU+vXXX9WmTRstX75cW7dulZubm2xtbXXkyBEFBwcrd+7cGjZs2Cu3W1wKFy6sgQMH6qefflL37t2VP39+5cuXT3fv3jU/g7e3d5yrqP1bgwYNtG7dOu3Zs0c1a9ZU6dKl5ezsrAsXLujixYtydnaOdWJk02pqixcvNv89KcTX5omVJUsWjR07Vt27d9fgwYM1Z84cubq6Kjg4WH5+foqIiFD16tXVrl078znDhg1T+/btNXz4cC1ZskQFChTQkydP5Ofnp6dPn6phw4bxzq31qu2Jdx9DvQAAAGAxNWvWNIcAO3bsUEhIiFq0aKGVK1dG+821i4uLlixZonr16ikiIkI7d+5USEiIvv/+e/3yyy+xXrtt27aqV6+ejEajdu/erRMnTkiSxowZo169eil//vw6ceKEdu3apfDwcH3++edas2aNPvnkE0mKFibVq1dPrVq1kqOjo3bv3q3Dhw8n6PlMYY+Tk5M+/vjjWI9Jly6dFi9erN69eytv3rw6ceKE/vrrL6VPn17t2rXT6tWrY/QOSYiwsDDdvXs3zj/3799P0HWcnJw0f/58dejQQZkyZdKBAwe0Z88eOTg4qF27dvLx8THPxSRFfTieOXOmhgwZIjc3N509e1a7d++Wg4ODvLy8tHr1avMwl/i8qXb5t6+//lrz5s1TtWrVdO3aNW3dulWPHz9W06ZNtWLFihjD82xtbTVx4kQNHTpURYoU0eHDh7V3715lzpxZPXv21Ny5c2OdRLho0aJydHSUk5NTnHOwdO7cWaNHj1bZsmV16dIlbdu2TdevX1fNmjW1cOHCGD1XRo0apSJFiujy5cs6ePCgrl+/LilqNbJVq1apS5cuypIliw4fPqwjR44oR44c6tatm5YvXx7vPEGvw8vLy/y1GhwcrJ07d8rf318VKlTQ5MmTNWDAgARfy9bWVpMmTTLPGXTkyBFt375dz58/V4sWLeTr66siRYrEeq5pEvXatWubw7KkEFebv4qqVavKx8dHzZo1M3+funjxokqVKqURI0Zo4sSJ0SZq9vDw0MKFC/Xxxx8rODhY27dv199//y03NzeNHDlSI0eOjPd+r9OeeLcZjK+6TiWSvdDQUPMPOC8qXrx4rBPJAQCS1vGJ3yj8aYily7Bado7OKtl13Bu5dmL+DQ0PD9f58+ejbStYsGCCVqP6L5s4caImTZqkzz77TN9//72lywHeuE2bNqlbt25q3ry5Bg8ebOlyrF6nTp20Y8cOLV682DwRMmAJyeHnBHr8AAAAAMAb8OzZM0lRq9SNHTtWBoNBn376qYWrsl6m9vb19dXOnTtVvHhxQh9AzPEDAAAAAG/EvHnzNGXKFIWGhspoNMrLy0uFChWydFlWq2HDhgoICNDz589lY2Ojvn37WrokIFmgxw8AAAAAvAGFCxeWvb290qRJo08//VQ//vijpUuyau7u7oqMjFSePHk0bty4aKv2Af9lzPFjxZjjBwAsizl+3izm+AEAAMldcvg5gR4/AAAAAAAAVorgBwAAAAAAwEoR/AAAAAAAAFgpBp8nwF9//aU2bdrEud/JyUlHjx59ixUBAAAAAAC8HMFPApw6dUpS1ISOefLkibE/RYoUb7kiAAAAAACAlyP4SQBT8NO9e3dVqlTJwtUAAAAAAAAkDHP8JIAp+HFzc7NwJQAAAAAAAAlHj5+XCAkJ0dWrV5UjRw6lT5/e0uUkifDwcBkMBkuXAQBWx97e3tIl/OeFhYUlyXXCw8OT5DoAAACWRvDzEqdPn5bRaNR7772nKVOmaMOGDbp27ZqcnZ31wQcfqEuXLsqbN6+ly0yU06dPW7oEALA6dnZ2KlmypKXL+M/7559/CG0AAABewFCvlzAN89q3b5+mTZumLFmyyMPDQ5Lk6+srT09PHThwwJIlAgAAAAAAxIoePy9hCn5Kly6tCRMmKHPmzJKk0NBQjRgxQgsXLtQ333yjLVu2yNnZ2ZKlAgAA4DUYjUaGwwN4ZXwPQXJFj5+X+Pnnn7Vx40bNnDnTHPpIkoODg77//nsVKVJEQUFB8vX1tWCVAAAAeFUXLlxQu3bt5O/v/1rXuXHjhlxdXVWmTJkkquztWLlypVxdXdWlSxdLlxKvAwcOyNXVVQ0bNoy23Wg0asaMGapZs6bc3Nzk4eGhefPmWabIZMbUZgn58+92fVVnzpzRgAED9PHHH8vd3V2lSpVS9erV1bNnT+3cuTNJ7hGfvn37ytXV9a2/B44dO6amTZu+1XsifhMnTpSrq6t+/vnnBJ/TunVrubq6auvWrW+wsrePHj8v4eDgEOccPra2tqpatapOnz6tEydOvOXKXl2RIkWYgBQAYJWKFi2aJNcJCwt7K3PinZr1o8KfBr/x+7wqO8fUKvbFEEuX8ca1atVKDx48sHQZeEWrV6/WmDFjZGdnp/LlyytVqlRydXW1dFnJipOTkz766KN4j8mRI8dr32fWrFkaM2aMjEajihQpokqVKik8PFw3btzQ2rVrtXbtWtWsWVO//vqrVX0eCQkJUYsWLWQ0Gi1dChArgp/XlC1bNknS06dPLVxJwtnZ2VnVN1oAAEyS6t+3t/XDe/jTYIU/DXkr90LcIiIikuQ6WbNm1fr162Vra5sk10PCHDlyRJL06aefql+/fhauJnlKnz69Ro8e/UbvcfjwYf3yyy9Knz695syZEyOIP3nypLp06aItW7Zo4sSJ+vbbb99oPW9TZGQkoQ+SNYZ6xSM0NFQDBgzQV199pXv37sV6TEBAgKT/BUAAAAD4b7K3t1f+/PmVJ08eS5fynxIaGiqJn8ctbcWKFZKkTp06xdr70s3NTUOGRPUgXLRo0VutDfivI/iJh4ODg/bu3autW7dq27ZtMfaHhoZq/fr1kqTKlSu/7fIAAACswu7du9WpUydVrFhRpUqVUt26dTV27Fg9fPhQQUFBcnNzU5EiRXTr1q1Yzx80aJBcXV21cOFC87YNGzaobdu2qlixotzc3FS1alV999130Ybwmea2CQ6OGm730UcfydXVVTdu3DAfExoaqgULFqhp06bm+Uo8PT21YMEChYWFRasjrjl+XF1dVbNmTT179kzjxo1TrVq1VLx4cVWsWFH9+vWLdr8X+fv7a+DAgapevbrc3NxUvnx5denSRUePHk1cA/+/gIAADRgwQNWqVVOJEiXUoEED84f1uAQFBWnUqFH6+OOPVbx4cZUtW1bt2rXTrl27Yj3+5MmT6tatm2rUqGGu+Ysvvoh1vgzT3DKPHj2KsW/evHlydXVV375946zN9PqtWrVKkjR8+HC5urqqdevWkuKf6+XRo0fm+7+oevXqKlq0qK5fv65WrVrJzc1NFStWNN9Diuph1LNnT1WvXl0lSpRQyZIlVbNmTQ0aNEiBgYGv1SaS9PjxY02ZMkX169dXyZIlVbp0aXl7e8vHx+et9yrZsWOH2rdvLw8PDxUvXly1atXSyJEjdf/+/RjHmn5RHt/kxhUqVFC9evVUp04dPXv2LFG13L9/X+PGjVPdunVVqlQpVaxYUe3bt9e+ffteeu7L5nopU6ZMjK99o9GoxYsXq2XLlqpQoYJKlCihGjVqaMCAAbp+/Xq0a5ctW9b8/7G9rxLzmprmZfr+++/l4+OjqlWrqnjx4qpTp06cnRH+zd/fXz///LPq1asnd3d38/u4W7duOn78eIzj79y5oyFDhpjbtkyZMvLy8tK8efPMwWpi2+VF586d03fffadKlSqZa+nZs6cuXLgQ41jT1+2xY8e0ceNGeXl5qVSpUipfvrx69uyp27dvS5K2bNmi5s2bq1SpUqpcubJ69uwZ69efyZ9//qmWLVuqZMmS8vDwUNeuXXXy5MmXtuWIESPk6uqqAQMGxLr/9u3bKlq0qCpWrJhkvUffBIKfl/D29pYkjRkzRmfOnDFvf/bsmfr376+rV6+qXLlyqlChgqVKBAAAeGf98ssv6tChg3bt2qXcuXOrUqVKCg4O1vTp09WiRQvZ2NioZs2aioyM1OrVq2Oc//z5c61du1YpU6ZUgwYNJEkzZszQN998o8OHDyt//vyqXr26UqVKJV9fX3l5ecnPz0+SlDt3btWvX988RLBGjRqqX7++nJycJElPnjxR27ZtNXToUF25ckXu7u4qX768rl27pqFDh6pDhw4xPhTFJTQ0VG3atNGsWbOUOXNmVa5cWaGhoVq5cqVatGgR44P0oUOH1LBhQy1evFh2dnaqWrWq8uTJo+3bt8vb21tLlixJVDufP39eTZs21ZIlS+Tg4KBq1arJYDCof//+mjNnTqznXLhwQY0aNdLs2bP17NkzVaxYUUWKFNHBgwfVsWNHjRs3LkbNLVq00KZNm5Q2bVpVr15d+fLl0969e/XVV19p9uzZiar5ZUyvX65cuSRJxYoVU/369fXBBx+81nWNRqO++OILXb9+XVWrVpW9vb3c3NwkSX/88Ye8vb21bt06ZcmSRVWrVlXJkiV169Yt/fHHH2rWrFm0+aIS2ya3b9+Wl5eXxo8fr7t378rDw0Pu7u46deqU+vTpoz59+ry18GfYsGHq1KmTDhw4oLx586patWoKCwvTnDlz1KRJE127di3a8UWKFJEkTZkyRRs3blR4eHiMazo4OGjMmDEaNGiQUqZMmeBaLl26JE9PT02dOlUPHz5UpUqVlDdvXu3bt0+ff/55tNA3qfz0008aOHCgzpw5o2LFiqlKlSoyGo1asmSJPD09deXKFUlRQc8nn3xiPq9+/fqqX7+++f9f9TU9fPiw+vbtKxcXF1WoUEFp06ZVxowZX1r38ePH1aBBA/3222+KjIzUhx9+qPLlyysyMlKbNm1Sq1atdPjwYfPxQUFBatasmX7//XeFhoaqYsWKcnd317lz5zR8+HB17dr1ldrFZMOGDfL09JSvr6/SpUunatWqKXPmzFq7dq08PT21Y8eOWJ9j+vTp6t69u8LDw/XBBx/IaDRq7dq1+vzzzzV9+nR9/fXXCgsLU8WKFRUaGqq1a9fK29tbz58/j3GtvXv36osvvlBgYKCqVKmi7Nmza/PmzWrevLm2bNkSb3s2a9bM/ByxXdvHx0cRERHy9PRM1sN8mePnJdq2baujR49q69atatKkidzd3ZU+fXodOXJEd+/eVb58+TR27FhLlwkAAPDO2bFjh2bNmqV06dJp5syZKlGihKSokKR79+7avn27xo0bJy8vL61fv16rVq1Sx44do11j06ZNevTokRo2bKjUqVMrNDRUU6dOlZ2dnXx8fFSgQAHzsWPHjtX06dM1depUzZo1S2XKlFGZMmW0c+dOhYWFqV+/fsqZM6f5+J9//ll+fn6qVKmSee4SSXr48KG6du2q/fv3a+zYsfH2SjEJDAyUnZ2dVq9erfz580uK+sDVvHlzXbt2TcuWLTM/28OHD9WtWzcFBwdrwIAB8vb2NveiOHTokDp16qTBgwerePHiCZrQ3Gg06vvvv9fdu3fVrl07fffdd7Kxifr978KFCzV48OAY54SHh6tr1666deuWvvzyS3Xr1k12dlEfHc6fP6/27dtr6tSpKlGihKpXry4p6gN/WFiYBg8erObNm5uvtWfPHn3xxReaPHmyPvvssySbi8v0+vXt21fXr19XgwYN1LZt29e+bmRkpCRp/fr1cnZ2VmRkpGxsbHTv3j2NGDFCdnZ2mjdvXrSeXbdv31aLFi3k7++v9evXm395nNg26d27ty5cuKDGjRtrwIAB5hAyMDBQHTp00OrVq1W8eHFzr6Y3ZfXq1Zo/f75y5sypqVOnqlChQpKi5sMaPXq05syZox49emj58uXm92abNm20Zs0a+fv7q3v37kqTJo3KlSun999/X2XKlFGxYsVe6YOx0WhU7969dfPmTTVt2lQDBw6Ug4ODpKjeMV988YV+/vln1ahRQ1mzZk2S5w8MDNSSJUuULl06rVmzRlmyZDE/f9++feXr66u5c+dq0KBBqlWrlsqXL68NGzZIUoy5lF71Nb1y5Yo6duyonj17Svrf+/JlBg0apJCQEPXs2TPa98tnz57p22+/1bZt2/T777+b379LlixRQECA6tevr19++cX8et68eVPNmjXTzp07dfz4cZUsWTJR7WJ6hj59+kiSJk2apJo1a5rr2bhxo3r27KmePXtqw4YNMV677du3a+TIkWrUqJG5vWrXrq0LFy5o7NixGjNmjOrVqycp6ntpgwYN5O/vr127dqlWrVrRrnXp0iU1adJEgwYNMn+tmb739e/fX2XLllW6dOlibc/8+fPr/fffl5+fn7Zu3aq6detG279ixQoZDIZkv6IbPX5ews7OTpMmTdLQoUPl5uamU6dOadeuXUqXLp26du2qFStWRFvmHQAAAAnz+++/S5K+/fZbc+gjRfUK+PHHH5UzZ049ePBA5cuXV+7cuXXp0iUdO3Ys2jVMQ5VMv5UNDg7WkydP5ODgYP5QYtKxY0f1799fbdq0eWltt2/flo+Pj1KlShUt9JGktGnTatSoUbK3t9eiRYsUEpKwCbq7detmDn0kKUOGDOYltM+fP2/evmzZMgUFBalevXpq1apVtKEzZcuWVadOnRQeHh5nT51/O3HihI4fP6733ntPvXr1Moc+UtSKZtWqVYtxzpYtW3Tp0iWVLl1a3377rTn0kaSCBQuaw66ZM2eat5uG4uXOnTvatSpVqqQhQ4Zo6NChyXooxIuaNm0qZ2dnSTK31507d1SzZk21bds2xnC+LFmyqEaNGpKihtmYJKZN/v77b+3fv185c+bU4MGDzQGBJLm4uJiHKc2aNSvRz+Pv7x/vUu7/Di9nzJghSRo8eLA59JGiVjX+7rvvVKhQIZ08eVL79+8378uQIYMWL16s2rVry2Aw6NGjR9q6datGjhypZs2aycPDQ71799alS5cSVfvx48d14sQJ5ciRQz/99JM59JEkDw8PNW/eXK6urjp37lyi2yUut2/fltFoVOrUqaMFAra2turRo4cGDBhg7mEYn9d9TV/8XvXi121cnj59qsKFC+ujjz5Su3btou1LmTKlPD09JcX+Hs2ZM2e07zXZs2fXsGHDNHLkSLm4uEhKfLvMnz9fz58/V/v27aOFPpJUu3ZtNWvWTI8fP9Yff/wR41nKlStnDn2kqPYyDamrVKmSOfSRot57pp5+/+5xJEmZM2fWjz/+GC10btWqlapUqaJHjx7J19c3xjkv8vLykhQ1vPRFhw8f1pUrV1SuXLkYX+PJDT1+EsBgMKhZs2bmHygAAADweoxGow4ePChJMT4QSFEfOl6cY7FZs2YaM2aMVq5cqVKlSkmSrl+/rgMHDihPnjzmDwQZM2ZUwYIFdf78eTVu3FgNGjRQ5cqVVaJECTk7Oyco9JGietaEh4ebe3v/m4uLiwoXLqwTJ07o2LFjqlix4kuvWbp06RjbTL/lfnGFWNOH6biGLFWrVk2jR4/WX3/9laBnMV2vUqVKsfa4+Pjjj2MMtzCdE9d0BlWqVJGNjY2OHz+up0+fytHRUR4eHrp48aK+/vprNWzYUJUrV1a5cuXk5ORk/uD0roitJ1XhwoU1ZsyYaNuMRqMCAwN1+vRp87QQL879lJg2Mb2eZcqUiRZumJQoUUIZMmRQYGCgLl++rLx58yb4eV62nLu7u7v573fu3NGFCxdkZ2cXbe4aExsbG1WqVEnnzp3TX3/9Fe19miVLFo0fP14BAQHasWOHDhw4ID8/P925c0fBwcFavXq11q9fr6FDh0b7UB+fAwcOSIp6z8XWW+yHH35I0HUSo1ChQkqfPr2uX7+uJk2aqH79+uahjtmzZ1erVq0SdJ3XeU2zZMmiTJkyJapuR0dHDRs2LMb2oKAgnT9/Xnv27JEU8z26aNEiTZ8+XZcvX1a1atX04YcfKnPmzKpSpUq06yS2XV72faRatWpatGiR+TV+ken7/IsyZMggKWpY57+lSZNGkmIdjvXxxx/L0dExxvYaNWpo165dOnjwoD777LNYa5SiQqphw4Zp3759unXrlvn79vLlyyXpncgJCH4AAADw1j148EChoaFKkSKF+Yf5+Hh6emrChAlav369vv/+e6VIkUIrVqyQ0WiM0cV+3Lhx6tq1qy5duqQpU6ZoypQpSp06tSpVqqSGDRuqatWqL73fzZs3JUUFQP+eqPXfTKu8vozpg8mLTEHMi8M4TNfr37+/+vfvH+f17ty5o7CwMF27dk1Tp06NsT9Dhgzq37+/+Tf6pt/a/5tpjpwXmWqYPHmyJk+eHGcNUlQvgPfee089e/bUzZs3tXPnTi1cuFALFy6Uvb29ypQpo08++USNGzeO9cNvchTXsI/IyEht375dvr6+On/+vG7cuGGe58nUW+LF+VoS0yam95yPj498fHzirS8gIEB58+ZVr169Yt3fv3//aF9XiVnO3fTah4eHq3jx4vEea6r537JlyyZvb2/zkLcrV65o165d+u2333Tjxg31799fJUqUUL58+XT48GEtXrw4xjXy58+vzp07myfzfZurtqVMmVKTJk3St99+q3PnzmnMmDEaM2aMMmbMqCpVqqhJkyYxen3F5lVeU5PY3oMXL16M92vd5MSJE1q6dKlOnjypq1ev6vHjx5Jif49+8sknOnPmjGbOnKmNGzdq48aNkqLmbKpRo4ZatGhhDqAS2y6m99LLAvfY3kdp06aNsc1Uf2xhfHyTisf2PU7633sqroUDTExzyC1YsEA+Pj768ssvFRISoo0bNypt2rQxhpYlRwQ/AAAAeOtME7/G98P6izJlyqRq1app8+bN2rp1q+rUqSMfHx/Z2dmpcePG0Y4tUKCA1q1bpwMHDmjHjh3666+/dO7cOa1fv17r169X/fr1X/oh2PTBKG/evOaJfeMSV6Dybwl9VlMIVLly5Vg//LwoPDxcd+/e1Zo1a2Lsy5EjR7QPg3FNChxbLyBTDWXLln3p85l6YTg7O2v69Ok6c+aMtm3bpv379+v48ePav3+/9u/fr99//10LFy6MNQCL6/5vysuGnMU2rObZs2dq166d/Pz8ZGdnp6JFi6p+/frKnz+/SpQoob1792ratGnRzklMm5ieuVixYsqXL1+89ZnaMLbXXZK++eabBAWqsTHVkSZNmhg9Pv7N9LUREhKiS5cuycbGJtavlzx58ihPnjxq0qSJWrRoofPnz2vt2rXq1q2brl27FutzlCtXTp07dzb3Tkno18+riO39UKZMGW3dulV79uzRrl27dODAAV25ckUrV67UypUr1alTJ/Xo0SPe677Ka2oS23swIV/rI0eONA8DzZcvn6pWrap8+fKpaNGiioyM1FdffRXj/B49esjb21tbt27V3r175efnp9OnT+v06dOaN2+e5s2bZ35dE9MupuevXbt2vHN7vTgEzuTF4aWvK67A2fQ9MSH3atasmRYsWKBVq1bpyy+/1IYNG/T06VM1bdpUKVKkSLJa3xSCHwAAALx16dKlk729vZ49e6b79+/H+htcHx8fOTk5qWLFinJyclKzZs20efNmbdiwQdmyZVNAQIBq1KgR63AIGxsbVahQwTzEICgoSL6+vho9erTWrFmj1q1bq2TJknHWZ5rDsVixYgnuKZFUMmfOrMuXL6tt27b68MMPX3q8h4eHzp49G+d+U3Dz4rweL4rtt92m+ZEaNGiQ6GFahQsXVuHChfXVV1/p2bNn2rNnjwYPHqxz585p8eLF5glnDQaDjEZjrKs/PXz4MFH3jI0pKIjtQ31sS8i/zJw5c+Tn56fChQt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p06ZpyJAh2rlzp1atWqXt27erVatWkqSFCxfmGGvbtm365z//qVKlSmnixImKiorSqlWrtHXrVgUHB+uRRx7R2rVrNXfuXJu1fPXVV2rZsqW2bt2qdevWadOmTZo/f75Kly6tP/74Q8uXL7f2DQ0N1YgRIyRJrq6uCg0NVWhoaIF+BwAAAADyR/ADoNhMmDDBuqwnvz95zYxxcHDQvHnz9Nhjj1nbfH19rTN2YmJirO23Bzq2Zv18//33kqRnn31WdnZ2Baq/TJkyeu2111S6dGlJsj6a/ttvv1VCQoKqVKmiBQsWqHr16tbXVKlSRR9//LFMJpOuXr2qzz77zObYkydPVmBgoPXv7u7uevnllyXdmk107do1m6+bMWOGdfaMJA0bNsxaX7NmzTR+/Hg5OjpKurV59fDhwyVJZ86cUXJysvV1c+bMkcVi0euvv65BgwZZx5CkJ598UjNmzJAk/fvf/9bly5dz1fHII4/o448/lru7u7WtQ4cOat26taScvxsAAAAARYfgB0CxqVmzpnVZT35/ypcvb/P1Pj4+cnNzy9Veq1YtSdLVq1dztGcHQmvXrs3RnpiYqMjIyBxLwgqiQYMGKlu2bK72LVu2SLoVIlWsWDHXcUdHRw0cONDa12Kx5DheunRpa0Byu9ufMHb7UqlslStXVpMmTXK0OTs7WwMpW2PeHsxkjxkXF6eDBw9Kkp555plcr5GkNm3aqHLlykpLS9OOHTtyHX/yySdVpkyZPH+G//3dAAAAACgaPM4dQLEZMWJEgffTscXDw8Nmu5OTkyTl2JBZkoKCgjRt2jTFxcUpOjpazZo1k3RrGVRGRob8/f1zzM65E1uhkySdOHFCktSwYcM8X5t9LDExUUlJSapcubL1WMWKFa0/w+1uD1L+92eTJE9PT5vnyp7hkx0A3c7e/r//DGQHUEeOHLG2ZS8Vs+XGjRuSpOPHj+c6dre/GwAAAABFg+AHQInl4OBwV/2dnJzUpUsXLV26VGvWrLEGP9nLvO42hLI1o0X678yZvGYqSVK5cuWs//vatWs5gp+C/Fz/O0tIujW7Jz+lShVskufts3EKsiTL1uydu/3dAAAAACgaBD8AHirPPfecli5dqvDwcE2cOFGnT5/W/v37VbZsWXXq1KlQzuHi4qLk5OR8lzPdvp+Oi4tLoZy3sGQvX6tUqVKe+ysBAAAAKBnY4wfAQ6VJkyaqU6eOkpKStGvXLq1Zs0aS9PTTT9vcr+fPyN5jKDY2Ns8+v/32m6Rby7pun+3zIMjeLDspKUkXLlzIs19UVJSOHTumtLS0+1UaAAAAgLtE8APgoZO9pGvTpk1av369pFszgQpLu3btJElhYWE5ZvZkS09Ptz6uPPtx6g+S2rVr69FHH5Ukff311zb7REdHa8CAAerSpYv27t17z+fMXoZmawkbAAAAgD+P4AfAQ6dHjx6yt7fX6tWrdfz4cdWoUUOPP/54oY3/wgsvyMPDQxcvXtSIESN0+vRp67FLly5pzJgxOnz4sFxcXDR69OhCO29hGjNmjCRp4cKFWrRokdLT063HoqKirMebNm2qJ5544p7Plz3bKjk52eYTywAAAAD8OezxA6DYLFiwQN99912B+o4cOVJt2rQplPNWqVJFrVq10tatWyXprh7hXhAVKlTQZ599puHDh2vPnj0KCgpSnTp1ZG9vryNHjigjI0OVKlXS7NmzVbNmzUI9d2Hp2rWrTp48qblz52rWrFlasGCBatasqcTERJ05c0bSrSVh8+fPL5Tzmc1mlSpVSjdu3NDTTz8td3d3LV68+IFbBgcAAACUNAQ/AIrNyZMndfLkyQL1vXTpUqGe+7nnntPWrVtVqlQpPfvss4U6tiQ1aNBAa9euVUhIiCIiInTq1CnZ2dnpscceU/v27dW/f/88H3n+oBg1apQCAwP11VdfKSoqSocOHZKDg4MaNGigp556SoMHDy60jakfffRRzZgxQ59++qnOnDmjrKwsnTlzhuAHAAAAuEd2FjZUAAAAAAAAMCT2+AEAAAAAADAogh8AAAAAAACDIvgBAAAAAAAwKIIfAAAAAAAAgyL4AQAAAAAAMCiCHwAAAAAAAIMi+AEAAAAAADAogh8AAAAAAACDIvgBAAAAAAAwKIIfAAAAAAAAgyL4AQAAAAAAMCiCHwAAAAAAAIMi+AEAAAAAADAogh8AAAAAAACDIvgBAAAAAAAwKIIfAAAAAAAAgyL4AQAAAAAAMCiCHwAAAAAAAIMi+AEAAAAAADAogh8AAAAAAACDIvgBAAAAAAAwKIIfAAAAAAAAgyL4AQAAAAAAMCiCHwAAAAAAAIMi+AEAAAAAADAogh8AAAAAAACDIvgBAAAAAAAwKIIfAAAAAAAAgyL4AQAAAAAAMCiCHwAAAAAAAIMi+AEAAAAAADAogh8AAAAAAACDIvgBAAAAAAAwqP8HLToxbejS5q8AAAAASUVORK5CYII=\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "outputs": [],
    "source": [
     "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
     "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
@@ -589,11 +579,7 @@
     "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
    ],
    "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.863195Z",
-     "start_time": "2023-07-12T22:22:34.325597Z"
-    }
+    "collapsed": false
    }
   }
  ],

From 7386656e8d6c9e6c8e6423c4bb557fa4f8a3bbb2 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 13 Jul 2023 10:56:17 -0700
Subject: [PATCH 20/58] Fixed homeostatic value estimate based on reactions
 where the demand compound is the reactant

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 151 +++++++++++-------
 notebooks/new_environments/new_genes.xlsx     | Bin 18841 -> 18833 bytes
 2 files changed, 93 insertions(+), 58 deletions(-)

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index 0791a28fb..f2d250146 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 445,
+   "execution_count": 490,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:14:58.222988Z",
-     "start_time": "2023-07-12T23:14:58.164248Z"
+     "end_time": "2023-07-13T17:50:55.215269Z",
+     "start_time": "2023-07-13T17:50:55.142117Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 446,
+   "execution_count": 491,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:14:58.304081Z",
-     "start_time": "2023-07-12T23:14:58.174130Z"
+     "end_time": "2023-07-13T17:50:55.307568Z",
+     "start_time": "2023-07-13T17:50:55.154005Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 447,
+   "execution_count": 492,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:00.657380Z",
-     "start_time": "2023-07-12T23:14:58.187192Z"
+     "end_time": "2023-07-13T17:50:58.068705Z",
+     "start_time": "2023-07-13T17:50:55.164229Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 448,
+   "execution_count": 493,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +101,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.229964Z",
-     "start_time": "2023-07-12T23:15:00.662454Z"
+     "end_time": "2023-07-13T17:51:00.116268Z",
+     "start_time": "2023-07-13T17:50:58.066174Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 449,
+   "execution_count": 494,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +118,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.278892Z",
-     "start_time": "2023-07-12T23:15:02.243501Z"
+     "end_time": "2023-07-13T17:51:00.148660Z",
+     "start_time": "2023-07-13T17:51:00.126408Z"
     }
    }
   },
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 450,
+   "execution_count": 495,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.769478Z",
-     "start_time": "2023-07-12T23:15:02.270539Z"
+     "end_time": "2023-07-13T17:51:00.679684Z",
+     "start_time": "2023-07-13T17:51:00.150194Z"
     }
    },
    "outputs": [
@@ -148,7 +148,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 450,
+     "execution_count": 495,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 451,
+   "execution_count": 496,
    "outputs": [],
    "source": [
     "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
@@ -175,19 +175,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.777873Z",
-     "start_time": "2023-07-12T23:15:02.774375Z"
+     "end_time": "2023-07-13T17:51:00.679933Z",
+     "start_time": "2023-07-13T17:51:00.675598Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 452,
+   "execution_count": 497,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.824055Z",
-     "start_time": "2023-07-12T23:15:02.776819Z"
+     "end_time": "2023-07-13T17:51:00.752470Z",
+     "start_time": "2023-07-13T17:51:00.682647Z"
     }
    },
    "outputs": [
@@ -196,7 +196,7 @@
       "text/plain": "                Environment                                 Genes  \\\n0  Testing L-Selenocysteine                             {EG10941}   \n1     Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2          Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}     [nan]      [nan]  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 452,
+     "execution_count": 497,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 453,
+   "execution_count": 498,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -275,19 +275,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:06.376638Z",
-     "start_time": "2023-07-12T23:15:02.837581Z"
+     "end_time": "2023-07-13T17:51:02.744734Z",
+     "start_time": "2023-07-13T17:51:00.733161Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 454,
+   "execution_count": 499,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:06.409258Z",
-     "start_time": "2023-07-12T23:15:06.400414Z"
+     "end_time": "2023-07-13T17:51:02.928048Z",
+     "start_time": "2023-07-13T17:51:02.772295Z"
     }
    },
    "outputs": [
@@ -296,7 +296,7 @@
       "text/plain": "                        Environment                                 Genes  \\\n0          Testing L-Selenocysteine                             {EG10941}   \n1             Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2                  Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n3  Testing L-Selenocysteine CONTROL                                    {}   \n4     Testing Fe-S Clusters CONTROL                                    {}   \n5          Vitamin B Uptake CONTROL                                    {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}   \n3                  {}     {}                        {}   \n4                  {}     {}                        {}   \n5                  {}     {}                        {}   \n\n                                           Reactions  \\\n0              {putative-L-selenocysteine-synthesis}   \n1  {iron-transport-FeS-cluster-assembly, complex-...   \n2  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n3              {putative-L-selenocysteine-synthesis}   \n4  {iron-transport-FeS-cluster-assembly, complex-...   \n5  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n\n                                          Substrates  \n0                                                 []  \n1                                                 []  \n2  [{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...  \n3                                                 []  \n4                                                 []  \n5                                                 []  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Vitamin B Uptake CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 454,
+     "execution_count": 499,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 458,
+   "execution_count": 500,
    "outputs": [
     {
      "name": "stdout",
@@ -388,29 +388,32 @@
     "                        function = \"substrates-of-reaction\"\n",
     "                        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn['@frameid']}&detail=low\"\n",
     "                        r = s.get(req_str)\n",
-    "                        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']['left']\n",
+    "                        left = xmltodict.parse(r.content)['ptools-xml']['Reaction']['left']\n",
     "                        right = xmltodict.parse(r.content)['ptools-xml']['Reaction']['right']\n",
-    "                        if type(o) is dict:\n",
-    "                            o = [o]\n",
+    "                        if type(left) is dict:\n",
+    "                            left = [left]\n",
     "                        if type(right) is dict:\n",
     "                            right = [right]\n",
-    "                        for compound in o:\n",
+    "                        for compound in left:\n",
     "                            if type(compound) is not str:\n",
     "                                try:\n",
-    "                                    if compound['Compound']['@frameid'] == met:\n",
+    "                                    if compound['Compound']['@frameid'] == name:\n",
     "                                        for demand_compound in right:\n",
-    "                                            if type(demand_compound) is not str:\n",
-    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
-    "                                except:\n",
-    "                                    if compound['Protein']['@frameid'] == met:\n",
+    "                                            try:\n",
+    "                                                if type(demand_compound) is not str and demand_compound['Compound']['@frameid'] in homeostatic:\n",
+    "                                                    homeostatic[met] += homeostatic[demand_compound['Compound']['@frameid']]\n",
+    "                                            except KeyError:\n",
+    "                                                if type(demand_compound) is not str and demand_compound['Protein']['@frameid'] in homeostatic:\n",
+    "                                                    homeostatic[met] += homeostatic[demand_compound['Protein']['@frameid']]\n",
+    "                                except KeyError:\n",
+    "                                    if compound['Protein']['@frameid'] == name:\n",
     "                                        for demand_compound in right:\n",
-    "                                            if type(demand_compound) is not str:\n",
-    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
+    "                                            if type(demand_compound) is not str and demand_compound['Compound']['@frameid'] in homeostatic:\n",
+    "                                                homeostatic[met] += homeostatic[demand_compound['Compound']['@frameid']]\n",
     "                                finally:\n",
     "                                    pass\n",
     "\n",
     "            homeostatic[met] += flat_demand_add\n",
-    "            print(homeostatic[met])\n",
     "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
@@ -510,21 +513,32 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:43:40.896996Z",
-     "start_time": "2023-07-12T23:43:07.660721Z"
+     "end_time": "2023-07-13T17:51:22.981362Z",
+     "start_time": "2023-07-13T17:51:02.923739Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 501,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-07-12T23:15:14.873132Z"
+     "end_time": "2023-07-13T17:51:23.002251Z",
+     "start_time": "2023-07-13T17:51:22.994149Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n0          Vitamin B Uptake                                  ABC-5-RXN   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  \n0     100.0   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Vitamin B Uptake</td>\n      <td>ABC-5-RXN</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 501,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
@@ -533,7 +547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 502,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -541,12 +555,16 @@
     "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
    ],
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-13T17:51:23.016640Z",
+     "start_time": "2023-07-13T17:51:23.002536Z"
+    }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 503,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -560,13 +578,26 @@
     "    ax.set_xticklabels(labels, rotation=0)"
    ],
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-13T17:51:23.038316Z",
+     "start_time": "2023-07-13T17:51:23.012934Z"
+    }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+   "execution_count": 504,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 900x600 with 1 Axes>",
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
     "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
@@ -579,7 +610,11 @@
     "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
    ],
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-13T17:51:23.821339Z",
+     "start_time": "2023-07-13T17:51:23.051544Z"
+    }
    }
   }
  ],
diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
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From 69ae9a5729437e2d8af920e3c2df394c7449ea7a Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 12 Jun 2023 11:31:54 -0700
Subject: [PATCH 21/58] Fixed separate notebook to work with new
 implementation.

---
 ecoli/experiments/metabolism_redux_sim.py   |   2 +-
 notebooks/fbagd/test_environments_new.ipynb | 385 +++++++++++---------
 2 files changed, 217 insertions(+), 170 deletions(-)

diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index a8fd7f704..4275b3bbe 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -123,7 +123,7 @@ def run_metabolism_composite():
 
 def run_ecoli_with_metabolism_redux(
         filename='fba_redux',
-        total_time=10,
+        total_time=50,
         divide=True,
         initial_state_file='wcecoli_t0',
         progress_bar=True,
diff --git a/notebooks/fbagd/test_environments_new.ipynb b/notebooks/fbagd/test_environments_new.ipynb
index 3831055f5..3abf5230e 100644
--- a/notebooks/fbagd/test_environments_new.ipynb
+++ b/notebooks/fbagd/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 1,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:00.320848Z",
-     "start_time": "2023-06-09T22:18:00.312957Z"
+     "end_time": "2023-06-12T18:28:20.819104Z",
+     "start_time": "2023-06-12T18:28:19.838801Z"
     }
    },
    "outputs": [],
@@ -24,7 +24,9 @@
     "import dill\n",
     "import requests\n",
     "import xmltodict\n",
-    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
     "\n",
     "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
    ]
@@ -43,10 +45,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 2,
    "outputs": [],
    "source": [
-    "time = '10'\n",
+    "time = '50'\n",
     "date = '2023-06-09'\n",
     "experiment = 'fba-redux'\n",
     "entry = f'{experiment}_{time}_{date}'\n",
@@ -55,14 +57,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:01.110681Z",
-     "start_time": "2023-06-09T22:18:01.105158Z"
+     "end_time": "2023-06-12T18:28:21.346042Z",
+     "start_time": "2023-06-12T18:28:21.343559Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 3,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -75,14 +77,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:01.805666Z",
-     "start_time": "2023-06-09T22:18:01.439481Z"
+     "end_time": "2023-06-12T18:28:22.121207Z",
+     "start_time": "2023-06-12T18:28:21.560910Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 4,
    "outputs": [],
    "source": [
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
@@ -92,14 +94,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:02.171618Z",
-     "start_time": "2023-06-09T22:18:01.805882Z"
+     "end_time": "2023-06-12T18:28:22.820459Z",
+     "start_time": "2023-06-12T18:28:22.120377Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 5,
    "outputs": [],
    "source": [
     "metabolism = agent['ecoli-metabolism-redux']\n",
@@ -108,8 +110,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:02.230003Z",
-     "start_time": "2023-06-09T22:18:02.217867Z"
+     "end_time": "2023-06-12T18:28:22.820636Z",
+     "start_time": "2023-06-12T18:28:22.816178Z"
     }
    }
   },
@@ -124,13 +126,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 6,
    "outputs": [
     {
      "data": {
-      "text/plain": "{'ACET[p]': [0, 0, 0, 0, 0],\n 'AMMONIUM[c]': [816253, 824154, 859469, 865921, 881095],\n 'BETAINE[p]': [0, 0, 0, 0, 0],\n 'BUTANAL[c]': [0, 0, 0, 0, 0],\n 'CA+2[p]': [23, 162, 288, 396, 479],\n 'CARBON-DIOXIDE[p]': [-1978935, -2187468, -2252374, -2277523, -2299096],\n 'CARBON-MONOXIDE[p]': [-1, -5, -10, -14, -17],\n 'CH33ADO[c]': [0, 0, 0, 0, 0],\n 'CL-[p]': [1, 156, 277, 380, 461],\n 'CO+2[p]': [2, 6, 11, 17, 20],\n 'CPD-10774[p]': [0, 0, 0, 0, 0],\n 'CPD-108[p]': [-1, -5, -10, -14, -17],\n 'CPD-1772[c]': [0, 0, 0, 0, 0],\n 'CPD-239[p]': [0, 0, 0, 0, 0],\n 'CPD-534[p]': [0, 0, 0, 0, 0],\n 'CPD-560[p]': [-1, -186, -331, -454, -550],\n 'CPD-564[c]': [0, 0, 0, 0, 0],\n 'CPD0-2167[c]': [-2, -13, -26, -35, -41],\n 'D-ALANINE[p]': [0, 0, 0, 0, 0],\n 'D-LACTATE[p]': [0, 0, 0, 0, 0],\n 'ETOH[p]': [0, 0, 0, 0, 0],\n 'FE+2[p]': [2, 221, 389, 536, 649],\n 'FORMATE[p]': [0, 0, 0, 0, 0],\n 'GLC[p]': [767215, 841386, 906067, 928049, 955257],\n 'GLYCEROL[p]': [0, 0, 0, 0, 0],\n 'GLYCOLALDEHYDE[c]': [0, 0, 0, 0, 0],\n 'GLYCOLLATE[c]': [0, 0, 0, 0, 0],\n 'HYDROGEN-MOLECULE[c]': [0, 0, 0, 0, 0],\n 'HYPOXANTHINE[p]': [0, 0, 0, 0, 0],\n 'INDOLE[p]': [0, 0, 0, 0, 0],\n 'K+[p]': [-2, 5866, 10378, 14276, 17273],\n 'L-SELENOCYSTEINE[c]': [0, 2, 4, 6, 6],\n 'METOH[p]': [0, -1, -2, -3, -4],\n 'MG+2[p]': [1, 260, 462, 634, 768],\n 'MI-PENTAKISPHOSPHATE[p]': [0, 0, 0, 0, 0],\n 'MN+2[p]': [1, 27, 47, 65, 79],\n 'NA+[p]': [1, 6, 10, 15, 18],\n 'NI+2[p]': [1, 16, 27, 39, 46],\n 'OXYGEN-MOLECULE[p]': [2034608, 2149055, 2169775, 2168956, 2164999],\n 'PROTON[p]': [0, 0, 0, 0, 0],\n 'Pi[p]': [70436, 67160, 81767, 90661, 98134],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0, -1, -2, -3, -4],\n 'SUC[p]': [0, 0, 0, 0, 0],\n 'SULFATE[p]': [13270, 16725, 16326, 17173, 17738],\n 'THYMINE[p]': [0, 0, 0, 0, 0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0, 0, 0, 0, 0],\n 'URACIL[p]': [0, 0, 0, 0, 0],\n 'UREA[p]': [0, 0, 0, 0, 0],\n 'WATER[p]': [-3973467, -1583451, 231207, 1898797, 2405331],\n 'XANTHINE[p]': [0, 0, 0, 0, 0],\n 'ZN+2[p]': [1, 16, 29, 41, 49]}"
+      "text/plain": "{'ACET[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'AMMONIUM[c]': [816253,\n  824154,\n  859469,\n  865921,\n  881095,\n  880175,\n  899327,\n  826879,\n  877100,\n  821741,\n  883986,\n  866915,\n  879898,\n  920315,\n  906384,\n  941731,\n  923156,\n  950892,\n  935505,\n  942198,\n  960592,\n  894699,\n  933352,\n  907005,\n  937700],\n 'BETAINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'BUTANAL[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CA+2[p]': [23,\n  162,\n  288,\n  396,\n  479,\n  545,\n  598,\n  641,\n  661,\n  687,\n  696,\n  715,\n  727,\n  737,\n  755,\n  766,\n  781,\n  788,\n  799,\n  806,\n  813,\n  821,\n  814,\n  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0,\n  0,\n  0,\n  0],\n 'CPD-560[p]': [-1,\n  -186,\n  -331,\n  -454,\n  -550,\n  -627,\n  -687,\n  -737,\n  -760,\n  -790,\n  -799,\n  -822,\n  -835,\n  -847,\n  -867,\n  -879,\n  -897,\n  -906,\n  -919,\n  -926,\n  -933,\n  -943,\n  -935,\n  -937,\n  -934],\n 'CPD-564[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD0-2167[c]': [-2,\n  -13,\n  -26,\n  -35,\n  -41,\n  -46,\n  -52,\n  -54,\n  -56,\n  -58,\n  -59,\n  -59,\n  -61,\n  -61,\n  -65,\n  -66,\n  -66,\n  -66,\n  -68,\n  -68,\n  -69,\n  -70,\n  -69,\n  -70,\n  -68],\n 'D-ALANINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'D-LACTATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ETOH[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'FE+2[p]': [2,\n  221,\n  389,\n  536,\n  649,\n  739,\n  812,\n  870,\n  896,\n  931,\n  943,\n  969,\n  985,\n  999,\n  1023,\n  1038,\n  1057,\n  1069,\n  1085,\n  1092,\n  1101,\n  1112,\n  1104,\n  1106,\n  1102],\n 'FORMATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLC[p]': [767215,\n  841386,\n  906067,\n  928049,\n  955257,\n  974986,\n  997159,\n  976754,\n  1006624,\n  983157,\n  1019049,\n  1016114,\n  1022593,\n  1049309,\n  1046045,\n  1066408,\n  1061093,\n  1079737,\n  1074696,\n  1081093,\n  1094849,\n  1060890,\n  1078840,\n  1067741,\n  1080357],\n 'GLYCEROL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLALDEHYDE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLLATE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYDROGEN-MOLECULE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYPOXANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'INDOLE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'K+[p]': [-2,\n  5866,\n  10378,\n  14276,\n  17273,\n  19705,\n  21590,\n  23176,\n  23881,\n  24802,\n  25119,\n  25819,\n  26232,\n  26639,\n  27248,\n  27618,\n  28171,\n  28463,\n  28890,\n  29100,\n  29319,\n  29621,\n  29376,\n  29462,\n  29340],\n 'L-SELENOCYSTEINE[c]': [0,\n  2,\n  4,\n  6,\n  6,\n  8,\n  8,\n  8,\n  9,\n  10,\n  9,\n  10,\n  10,\n  10,\n  10,\n  11,\n  10,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11],\n 'METOH[p]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'MG+2[p]': [1,\n  260,\n  462,\n  634,\n  768,\n  876,\n  959,\n  1030,\n  1062,\n  1102,\n  1116,\n  1148,\n  1166,\n  1184,\n  1211,\n  1227,\n  1252,\n  1265,\n  1284,\n  1294,\n  1303,\n  1316,\n  1306,\n  1309,\n  1304],\n 'MI-PENTAKISPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'MN+2[p]': [1,\n  27,\n  47,\n  65,\n  79,\n  91,\n  99,\n  106,\n  109,\n  114,\n  115,\n  119,\n  120,\n  121,\n  125,\n  127,\n  129,\n  131,\n  133,\n  133,\n  134,\n  135,\n  134,\n  134,\n  135],\n 'NA+[p]': [1,\n  6,\n  10,\n  15,\n  18,\n  20,\n  23,\n  24,\n  24,\n  26,\n  26,\n  27,\n  27,\n  27,\n  28,\n  29,\n  29,\n  29,\n  30,\n  30,\n  31,\n  30,\n  31,\n  30,\n  30],\n 'NI+2[p]': [1,\n  16,\n  27,\n  39,\n  46,\n  53,\n  58,\n  62,\n  64,\n  67,\n  68,\n  69,\n  71,\n  71,\n  73,\n  74,\n  75,\n  77,\n  78,\n  78,\n  79,\n  80,\n  80,\n  79,\n  79],\n 'OXYGEN-MOLECULE[p]': [2034608,\n  2149055,\n  2169775,\n  2168956,\n  2164999,\n  2172935,\n  2188886,\n  2133919,\n  2168263,\n  2146433,\n  2180739,\n  2166280,\n  2178972,\n  2212392,\n  2200685,\n  2224984,\n  2219673,\n  2239282,\n  2227522,\n  2231438,\n  2251859,\n  2209197,\n  2224650,\n  2216657,\n  2233830],\n 'PROTON[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'Pi[p]': [70436,\n  67160,\n  81767,\n  90661,\n  98134,\n  101496,\n  108099,\n  92842,\n  105196,\n  99882,\n  110315,\n  106786,\n  112263,\n  118994,\n  117492,\n  126029,\n  123905,\n  127916,\n  124975,\n  125877,\n  128400,\n  118919,\n  123993,\n  119370,\n  126080],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'SUC[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'SULFATE[p]': [13270,\n  16725,\n  16326,\n  17173,\n  17738,\n  18317,\n  18681,\n  18770,\n  19097,\n  18900,\n  19534,\n  19392,\n  19624,\n  20053,\n  19680,\n  20245,\n  19773,\n  20662,\n  20209,\n  20502,\n  20850,\n  20064,\n  20524,\n  20620,\n  20212],\n 'THYMINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'URACIL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UREA[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'WATER[p]': [-3973467,\n  -1583451,\n  231207,\n  1898797,\n  3156435,\n  4193380,\n  4946897,\n  5844085,\n  5995275,\n  6542395,\n  6496191,\n  6851775,\n  6990345,\n  7037080,\n  7342363,\n  7392897,\n  7680402,\n  7720591,\n  7953426,\n  8021574,\n  8052271,\n  8377203,\n  8167460,\n  8271067,\n  8134592],\n 'XANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ZN+2[p]': [1,\n  16,\n  29,\n  41,\n  49,\n  54,\n  60,\n  64,\n  66,\n  69,\n  70,\n  71,\n  72,\n  73,\n  76,\n  77,\n  78,\n  79,\n  80,\n  81,\n  82,\n  82,\n  82,\n  82,\n  82]}"
      },
-     "execution_count": 61,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,19 +143,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:03.125316Z",
-     "start_time": "2023-06-09T22:18:03.122246Z"
+     "end_time": "2023-06-12T18:28:22.871571Z",
+     "start_time": "2023-06-12T18:28:22.828492Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 7,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -161,7 +163,7 @@
    ],
    "source": [
     "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
-    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[4, :].abs().sort_values(ascending=False))\n",
+    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
     "sim_exchanges.head(10)\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
@@ -179,14 +181,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:03.856890Z",
-     "start_time": "2023-06-09T22:18:03.651989Z"
+     "end_time": "2023-06-12T18:28:23.206271Z",
+     "start_time": "2023-06-12T18:28:22.862546Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 8,
    "outputs": [
     {
      "data": {
@@ -220,21 +222,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:04.821552Z",
-     "start_time": "2023-06-09T22:18:04.538210Z"
+     "end_time": "2023-06-12T18:28:23.435269Z",
+     "start_time": "2023-06-12T18:28:23.205539Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 9,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                            4\nATPSYN-RXN (reverse)                                7963937.0\nmaintenance_reaction                                7600314.0\nNADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//N...  3656705.0\nTRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//...  2277523.0\nTRANS-RXN0-474                                      2168940.0\nRXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQ...  2168919.0\nTRANS-RXN-145                                       1898797.0\nGAPOXNPHOSPHN-RXN                                   1636060.0\nPHOSGLYPHOS-RXN (reverse)                           1636058.0\n3PGAREARR-RXN (reverse)                             1486502.0\n2PGADEHYDRAT-RXN                                    1486488.0\nPYRUVDEH-RXN                                        1150328.0\nPGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.               914733.0\nRXN0-7166                                            884407.0\nTRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/...   872057.0\nTRIOSEPISOMERIZATION-RXN (reverse)                   834966.0\nCITSYN-RXN                                           744564.0\nPHOSICITDEHASE-RXN                                   744358.0\nDEPHOSICITDEHASE-RXN                                 744358.0\nRXN-14047                                            744291.0",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ATPSYN-RXN (reverse)</th>\n      <td>7963937.0</td>\n    </tr>\n    <tr>\n      <th>maintenance_reaction</th>\n      <td>7600314.0</td>\n    </tr>\n    <tr>\n      <th>NADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//NAD/CPD-9956/PROTON.46.</th>\n      <td>3656705.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//CARBON-DIOXIDE.47. (reverse)</th>\n      <td>2277523.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-474</th>\n      <td>2168940.0</td>\n    </tr>\n    <tr>\n      <th>RXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQUINONE-8/PROTON/WATER.59.</th>\n      <td>2168919.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-145</th>\n      <td>1898797.0</td>\n    </tr>\n    <tr>\n      <th>GAPOXNPHOSPHN-RXN</th>\n      <td>1636060.0</td>\n    </tr>\n    <tr>\n      <th>PHOSGLYPHOS-RXN (reverse)</th>\n      <td>1636058.0</td>\n    </tr>\n    <tr>\n      <th>3PGAREARR-RXN (reverse)</th>\n      <td>1486502.0</td>\n    </tr>\n    <tr>\n      <th>2PGADEHYDRAT-RXN</th>\n      <td>1486488.0</td>\n    </tr>\n    <tr>\n      <th>PYRUVDEH-RXN</th>\n      <td>1150328.0</td>\n    </tr>\n    <tr>\n      <th>PGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.</th>\n      <td>914733.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-7166</th>\n      <td>884407.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/PTSH-MONOMER.46.</th>\n      <td>872057.0</td>\n    </tr>\n    <tr>\n      <th>TRIOSEPISOMERIZATION-RXN (reverse)</th>\n      <td>834966.0</td>\n    </tr>\n    <tr>\n      <th>CITSYN-RXN</th>\n      <td>744564.0</td>\n    </tr>\n    <tr>\n      <th>PHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>DEPHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>RXN-14047</th>\n      <td>744291.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 64,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -245,45 +247,45 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:17.386647Z",
-     "start_time": "2023-06-09T22:18:17.382112Z"
+     "end_time": "2023-06-12T18:28:23.439852Z",
+     "start_time": "2023-06-12T18:28:23.434458Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 10,
    "outputs": [
     {
      "data": {
-      "text/plain": "7504"
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-1,\n  33,\n  173,\n  6,\n  -1,\n  4104,\n  36,\n  4068,\n  130,\n  2,\n  284,\n  185,\n  20,\n  -1,\n  -1,\n  -1,\n  103,\n  4,\n  4,\n  -1,\n  658,\n  0,\n  443,\n  -1,\n  -1,\n  -1,\n  12,\n  0,\n  293,\n  183,\n  67,\n  24,\n  1,\n  1,\n  2,\n  24,\n  ...]]"
      },
-     "execution_count": 65,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "len(fba[\"reaction_catalyst_counts\"][3])"
+    "fba[\"reaction_catalyst_counts\"]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:17.866059Z",
-     "start_time": "2023-06-09T22:18:17.847111Z"
+     "end_time": "2023-06-12T18:28:23.582097Z",
+     "start_time": "2023-06-12T18:28:23.470361Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 11,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 66,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -296,8 +298,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-09T22:18:18.159949Z",
-     "start_time": "2023-06-09T22:18:18.153240Z"
+     "end_time": "2023-06-12T18:28:23.703445Z",
+     "start_time": "2023-06-12T18:28:23.571807Z"
     }
    }
   },
@@ -312,22 +314,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 12,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 83,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
-    "uptake_c = fba[\"constrained_molecules\"]\n",
-    "\n",
-    "uptake.extend(list(uptake_c.keys()))\n",
+    "uptake = metabolism.allowed_exchange_uptake\n",
     "uptake = set(uptake)\n",
     "\n",
     "# addition = set([\"CPD0-1074[c]\"])\n",
@@ -355,8 +354,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:11.464515Z",
-     "end_time": "2023-05-03T13:22:11.527729Z"
+     "end_time": "2023-06-12T18:28:23.715047Z",
+     "start_time": "2023-06-12T18:28:23.694161Z"
     }
    }
   },
@@ -371,52 +370,79 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 13,
    "outputs": [
     {
      "data": {
-      "text/plain": "2-3-DIHYDROXYBENZOATE[c]     73.0\n2-KETOGLUTARATE[c]          186.0\n2-PG[c]                      49.0\n2K-4CH3-PENTANOATE[c]        73.0\n4-AMINO-BUTYRATE[c]         160.0\n                            ...  \nMN+2[p]                      52.0\nNA+[p]                       52.0\nOXYGEN-MOLECULE[p]           51.0\nCA+2[p]                      52.0\nPi[p]                        52.0\nName: 4, Length: 171, dtype: float64"
+      "text/plain": "[[],\n 7130668,\n 7682916,\n 7655656,\n 7600314,\n 7529897,\n 7560265,\n 7566014,\n 7555646,\n 7555453,\n 7576138,\n 7568193,\n 7560014,\n 7555559,\n 7598335,\n 7584044,\n 7582321,\n 7600258,\n 7619933,\n 7613406,\n 7618277,\n 7667139,\n 7642944,\n 7617385,\n 7652652,\n 7642911]"
      },
-     "execution_count": 84,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"]).loc[4, :]\n",
-    "exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"]).loc[4, :]\n",
-    "maintenance = pd.DataFrame(fba[\"maintenance_target\"]).at[4, 'maintenance_reaction']\n",
-    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"]).loc[4, :]\n",
-    "homeostatic"
+    "fba[\"maintenance_target\"]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:11.468714Z",
-     "end_time": "2023-05-03T13:22:11.551006Z"
+     "end_time": "2023-06-12T18:28:25.117248Z",
+     "start_time": "2023-06-12T18:28:25.112691Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "7642911"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
+    "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]\n",
+    "maintenance"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-12T18:28:25.378637Z",
+     "start_time": "2023-06-12T18:28:25.364308Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
    "outputs": [],
    "source": [
-    "model = NetworkFlowModel(reactions=stoichiometric_matrix_dict,\n",
-    "                         homeostatic_metabolites=metabolism.homeostatic_objective,\n",
-    "                         free_reactions=FREE_RXNS)"
+    "model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:11.530620Z",
-     "end_time": "2023-05-03T13:22:15.402965Z"
+     "end_time": "2023-06-12T18:28:26.170340Z",
+     "start_time": "2023-06-12T18:28:25.813388Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 16,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -424,53 +450,80 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:15.397820Z",
-     "end_time": "2023-05-03T13:22:15.882028Z"
+     "end_time": "2023-06-12T18:28:26.364457Z",
+     "start_time": "2023-06-12T18:28:26.356622Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 17,
    "outputs": [],
    "source": [
-    "solution: FlowResult = model.solve(homeostatic_targets=dict(homeostatic),\n",
-    "                                   maintenance_target=maintenance,\n",
-    "                                   kinetic_targets=dict(kinetic),\n",
-    "                                   reaction_catalyst_counts=sim_catalysts.to_dict()[4],\n",
-    "                                   objective_weights={'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001},\n",
-    "                                   upper_flux_bound=100000000)"
+    "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "solution: FlowResult = model.solve(\n",
+    "            homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "            maintenance_target=maintenance,\n",
+    "            kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "            binary_kinetic_idx=[],\n",
+    "            objective_weights=objective_weights,\n",
+    "            upper_flux_bound=100000000)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-12T18:28:26.829891Z",
+     "start_time": "2023-06-12T18:28:26.613128Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.Series(solution.exchanges).abs().sort_values(ascending=False)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:15.937791Z",
-     "end_time": "2023-05-03T13:22:16.319469Z"
+     "end_time": "2023-06-12T18:28:27.036829Z",
+     "start_time": "2023-06-12T18:28:27.025861Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 19,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 2160x360 with 1 Axes>",
-      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "cur_exchanges = pd.Series(solution.exchanges).abs().sort_values(ascending=False)\n",
+    "cur_exchanges = pd.Series(solution.exchanges, index=metabolism.metabolite_names).abs().sort_values(ascending=False)\n",
+    "nonzero = len(cur_exchanges[cur_exchanges > 0])\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
     "plt.figure(figsize=(30, 5))\n",
-    "plt.plot(cur_exchanges.head(30), 'o')\n",
+    "plt.plot(cur_exchanges.head(nonzero), 'o')\n",
     "\n",
     "# shorten all xtick names to 10 characters\n",
-    "plt.xticks([i for i in range(30)], [i[:20] for i in cur_exchanges.index[:30]], rotation=45, ha= 'right')\n",
+    "plt.xticks([i for i in range(nonzero)], [i[:20] for i in cur_exchanges.index[:nonzero]], rotation=45, ha= 'right')\n",
     "# make xticks aligned to right left of bar\n",
     "plt.yscale('log')\n",
     "plt.ylabel('Flux counts')\n",
@@ -480,26 +533,26 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:16.323042Z",
-     "end_time": "2023-05-03T13:22:16.615742Z"
+     "end_time": "2023-06-12T18:28:27.892020Z",
+     "start_time": "2023-06-12T18:28:27.648769Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 20,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "cur_fluxes = pd.Series(solution.velocities).abs().sort_values(ascending=False)\n",
+    "cur_fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names).abs().sort_values(ascending=False)\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
     "plt.figure(figsize=(15, 5))\n",
@@ -516,8 +569,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:16.618573Z",
-     "end_time": "2023-05-03T13:22:16.788059Z"
+     "end_time": "2023-06-12T18:28:28.043350Z",
+     "start_time": "2023-06-12T18:28:27.891699Z"
     }
    }
   },
@@ -531,12 +584,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 21,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:16.787988Z",
-     "end_time": "2023-05-03T13:22:17.108193Z"
+     "end_time": "2023-06-12T18:28:29.559591Z",
+     "start_time": "2023-06-12T18:28:29.306677Z"
     }
    },
    "outputs": [
@@ -544,7 +597,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 90,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -557,45 +610,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "{'G6245', 'G7431', 'G7452'}"
-     },
-     "execution_count": 91,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "{\"G6245\", \"G7431\", \"G7452\"}"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:17.107510Z",
-     "end_time": "2023-05-03T13:22:17.110101Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 22,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:17.120431Z",
-     "end_time": "2023-05-03T13:22:17.122819Z"
+     "end_time": "2023-06-12T18:28:29.897028Z",
+     "start_time": "2023-06-12T18:28:29.886081Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, G7554, EG10468, EG10470, EG11801, EG...   \n1               {EG10814, EG10818, EG10815, EG10816}   \n2           {EG11572, EG11574, G6566, M007, EG11573}   \n3  {EG10640, EG10638, EG10639, EG10647, EG10648, ...   \n4                          {M011, G6206, M010, M012}   \n5  {EG11598, EG11666, EG10152, EG11597, EG11595, ...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, G7554, EG10468, EG10470, EG11801, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10814, EG10818, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11574, G6566, M007, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10640, EG10638, EG10639, EG10647, EG10648, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, G6206, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11598, EG11666, EG10152, EG11597, EG11595, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 92,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -665,12 +694,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 23,
    "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:17.123952Z",
-     "end_time": "2023-05-03T13:22:18.814660Z"
+     "end_time": "2023-06-12T18:28:31.931220Z",
+     "start_time": "2023-06-12T18:28:30.205247Z"
     }
    },
    "outputs": [],
@@ -701,21 +730,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 24,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:18.821816Z",
-     "end_time": "2023-05-03T13:22:18.824076Z"
+     "end_time": "2023-06-12T18:28:31.932898Z",
+     "start_time": "2023-06-12T18:28:31.931361Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, G7554, EG10468, EG10470, EG11801, EG...   \n1               {EG10814, EG10818, EG10815, EG10816}   \n2           {EG11572, EG11574, G6566, M007, EG11573}   \n3  {EG10640, EG10638, EG10639, EG10647, EG10648, ...   \n4                          {M011, G6206, M010, M012}   \n5  {EG11598, EG11666, EG10152, EG11597, EG11595, ...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {ABC-28-RXN, RIBOKIN-RXN}  \n2  {THIKIN-RXN, RXN0-7298, ABC-32-RXN, THIAZOLSYN...  \n3                  {RXN-15119, RXN0-3501, RXN0-7124}  \n4  {TRANS-RXN0-457, 1.13.11.16-RXN, TRANS-RXN-61,...  \n5  {RXN-8342, RXN0-262, RXN0-6254, RXN-8340, RXN-...  \n6                  {RXN-12093, RXN0-5507, RXN0-4022}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, G7554, EG10468, EG10470, EG11801, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10814, EG10818, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11574, G6566, M007, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, RXN0-7298, ABC-32-RXN, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10640, EG10638, EG10639, EG10647, EG10648, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN-15119, RXN0-3501, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, G6206, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN0-457, 1.13.11.16-RXN, TRANS-RXN-61,...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11598, EG11666, EG10152, EG11597, EG11595, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-8342, RXN0-262, RXN0-6254, RXN-8340, RXN-...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN-12093, RXN0-5507, RXN0-4022}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-5256, RXN0-7399, RXN-16420}  \n1                          {ABC-28-RXN, RIBOKIN-RXN}  \n2  {ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...  \n5  {RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...  \n6                  {RXN-12093, RXN0-4022, RXN0-5507}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-5256, RXN0-7399, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN-12093, RXN0-4022, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 94,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -734,12 +763,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 28,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:22:18.830617Z",
-     "end_time": "2023-05-03T13:22:54.413756Z"
+     "end_time": "2023-06-12T18:31:07.769416Z",
+     "start_time": "2023-06-12T18:31:03.901668Z"
     }
    },
    "outputs": [
@@ -763,16 +792,14 @@
     "for i in range(len(condition_df)):\n",
     "    condition_idx = i\n",
     "\n",
-    "    uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
-    "    uptake_c = fba[\"constrained_molecules\"]\n",
+    "    uptake = metabolism.allowed_exchange_uptake\n",
     "\n",
-    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"]).loc[4, :])\n",
+    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
     "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
     "    if new_demand:\n",
     "        for met in new_demand:\n",
     "            homeostatic[met] = 100\n",
     "\n",
-    "    uptake.extend(list(uptake_c.keys()))\n",
     "    uptake = set(uptake)\n",
     "\n",
     "    addition = condition_df.at[condition_idx, \"Add\"]\n",
@@ -781,22 +808,30 @@
     "    uptake = uptake | addition\n",
     "    uptake = uptake - removals\n",
     "\n",
-    "    model = NetworkFlowModel(reactions=stoichiometric_matrix_dict,\n",
-    "                         homeostatic_metabolites=homeostatic,\n",
-    "                         free_reactions=FREE_RXNS)\n",
+    "    model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)\n",
     "\n",
     "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
     "\n",
-    "    solution: FlowResult = model.solve(homeostatic_targets=homeostatic,\n",
-    "                                   maintenance_target=maintenance,\n",
-    "                                   kinetic_targets=dict(kinetic),\n",
-    "                                   reaction_catalyst_counts=sim_catalysts.to_dict()[4],\n",
-    "                                   objective_weights={'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001},\n",
-    "                                   upper_flux_bound=100000000)\n",
+    "\n",
+    "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "    solution: FlowResult = model.solve(\n",
+    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "                maintenance_target=maintenance,\n",
+    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "                binary_kinetic_idx=[],\n",
+    "                objective_weights=objective_weights,\n",
+    "                upper_flux_bound=100000000)\n",
     "\n",
     "    # Check flux\n",
-    "    fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]], stoichiometric_matrix_dict[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
-    "    fluxes.columns = [\"Flux\", \"Stoichiometry\"]\n",
+    "    fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names)\n",
+    "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
+    "    fluxes.columns = [\"Flux\"]\n",
     "\n",
     "    relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
     "    relevant_rxn_idx = []\n",
@@ -804,9 +839,9 @@
     "    for rxn in relevant_rxns:\n",
     "        relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
     "\n",
-    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx, :]\n",
+    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
     "    \n",
-    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes[\"Flux\"] != 0].loc[:, \"Flux\"]\n",
+    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
     "    \n",
     "    for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
     "        results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
@@ -818,21 +853,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 29,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:38:34.731609Z",
-     "end_time": "2023-05-03T13:38:34.737887Z"
+     "end_time": "2023-06-12T18:31:09.899813Z",
+     "start_time": "2023-06-12T18:31:09.888763Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n\n           Flux  log(Flux)  \n0  2.367649e+07   7.374317  \n0  2.029540e+06   6.307398  \n0  1.264890e+06   6.102053  \n0  7.646495e+05   5.883462  \n0  4.900000e+01   1.690196  \n0  4.900000e+01   1.690196  \n0  1.405236e+06   6.147749  \n0  2.350110e+05   5.371088  \n0  1.284798e+06   6.108835  \n0  1.284798e+06   6.108835  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.367649e+07</td>\n      <td>7.374317</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>2.029540e+06</td>\n      <td>6.307398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>1.264890e+06</td>\n      <td>6.102053</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>7.646495e+05</td>\n      <td>5.883462</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>4.900000e+01</td>\n      <td>1.690196</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>4.900000e+01</td>\n      <td>1.690196</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.405236e+06</td>\n      <td>6.147749</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>2.350110e+05</td>\n      <td>5.371088</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>1.284798e+06</td>\n      <td>6.108835</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>1.284798e+06</td>\n      <td>6.108835</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  1.352359e+06   6.131092  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 108,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -845,12 +880,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 30,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
-      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -864,8 +899,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-05-03T13:40:35.617460Z",
-     "end_time": "2023-05-03T13:40:36.234754Z"
+     "end_time": "2023-06-12T18:31:13.114326Z",
+     "start_time": "2023-06-12T18:31:12.443767Z"
     }
    }
   },
@@ -881,8 +916,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
-   "outputs": [],
+   "execution_count": 26,
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'unconstrained_molecules'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_78038/2219999909.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0muptake\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"unconstrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m3\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcopy\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      2\u001B[0m \u001B[0muptake_c\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"constrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      3\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m \u001B[0mhomeostatic\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"target_homeostatic_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0mexchanges\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"estimated_exchange_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mKeyError\u001B[0m: 'unconstrained_molecules'"
+     ]
+    }
+   ],
    "source": [
     "uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
     "uptake_c = fba[\"constrained_molecules\"]\n",
@@ -899,8 +946,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2023-04-28T10:37:03.150602Z",
-     "end_time": "2023-04-28T10:37:03.236435Z"
+     "end_time": "2023-06-12T18:28:33.148971Z",
+     "start_time": "2023-06-12T18:28:33.142422Z"
     }
    }
   },

From 4c714b038263b04f0d7381f7763d0a3f46bfa216 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 12 Jun 2023 11:37:05 -0700
Subject: [PATCH 22/58] Small changes.

---
 notebooks/fbagd/test_environments_new.ipynb | 214 --------------------
 1 file changed, 214 deletions(-)

diff --git a/notebooks/fbagd/test_environments_new.ipynb b/notebooks/fbagd/test_environments_new.ipynb
index 3abf5230e..a277b8e3a 100644
--- a/notebooks/fbagd/test_environments_new.ipynb
+++ b/notebooks/fbagd/test_environments_new.ipynb
@@ -903,220 +903,6 @@
      "start_time": "2023-06-12T18:31:12.443767Z"
     }
    }
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dc585496-f8aa-4a33-95c6-080673fdacee",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Check kinetics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "'unconstrained_molecules'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_78038/2219999909.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0muptake\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"unconstrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m3\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcopy\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      2\u001B[0m \u001B[0muptake_c\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"constrained_molecules\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      3\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m \u001B[0mhomeostatic\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"target_homeostatic_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0mexchanges\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDataFrame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfba\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m\"estimated_exchange_dmdt\"\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m:\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mKeyError\u001B[0m: 'unconstrained_molecules'"
-     ]
-    }
-   ],
-   "source": [
-    "uptake = (fba[\"unconstrained_molecules\"][3]).copy()\n",
-    "uptake_c = fba[\"constrained_molecules\"]\n",
-    "\n",
-    "homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"]).loc[4, :])\n",
-    "exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"]).loc[4, :]\n",
-    "maintenance = pd.DataFrame(fba[\"maintenance_target\"]).at[4, 'maintenance_reaction']\n",
-    "kinetic = dict(pd.DataFrame(fba[\"target_kinetic_fluxes\"]).loc[4, :])\n",
-    "sim_fluxes = dict(pd.DataFrame(fba[\"estimated_fluxes\"]).loc[4, :])\n",
-    "\n",
-    "uptake.extend(list(uptake_c.keys()))\n",
-    "uptake = set(uptake)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:33.148971Z",
-     "start_time": "2023-06-12T18:28:33.142422Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "outputs": [],
-   "source": [
-    "model = NetworkFlowModel(reactions=stoichiometric_matrix_dict,\n",
-    "                         homeostatic_metabolites=metabolism.homeostatic_objective,\n",
-    "                         free_reactions=FREE_RXNS)\n",
-    "\n",
-    "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)\n",
-    "\n",
-    "solution: FlowResult = model.solve(homeostatic_targets=homeostatic,\n",
-    "                                   maintenance_target=maintenance,\n",
-    "                                   kinetic_targets=kinetic,\n",
-    "                                   reaction_catalyst_counts=sim_catalysts.to_dict()[4],\n",
-    "                                   objective_weights={'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.00001},\n",
-    "                                   upper_flux_bound=100000000)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:20.823261Z",
-     "end_time": "2023-04-28T10:02:26.443574Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "outputs": [
-    {
-     "data": {
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(reverse)': -0.0,\n '3-OXOACYL-ACP-SYNTH-BASE-RXN': -0.0,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/Arachidoyl-ACPs/PROTON//ACP/3-oxo-behenoyl-ACPs/CARBON-DIOXIDE.75.': 0.0,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8/PROTON//ACP/POLYMER-INST-B-KETOACYL-ACP-C6-H12/CARBON-DIOXIDE.119.': 72176.00000000003,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/Palmitoyl-ACPs/PROTON//ACP/3-oxo-stearoyl-ACPs/CARBON-DIOXIDE.74.': -0.0,\n '3-OXOACYL-ACP-SYNTH-RXN-MALONYL-ACP/Stearoyl-ACPs/PROTON//ACP/3-oxo-arachidoyl-ACPs/CARBON-DIOXIDE.75.': -0.0,\n '3-PHOSPHOGLYCERATE-PHOSPHATASE-RXN': -0.0,\n '3.1.3.16-RXN': -0.0,\n '3.1.3.68-RXN[CCO-CYTOSOL]-2-DEOXY-D-GLUCOSE-6-PHOSPHATE/WATER//2-DEOXY-D-GLUCOSE/Pi.71.': 0.0,\n '3.1.3.68-RXN[CCO-PERI-BAC]-2-DEOXY-D-GLUCOSE-6-PHOSPHATE/WATER//2-DEOXY-D-GLUCOSE/Pi.72.': -0.0,\n '3.1.3.74-RXN[CCO-CYTOSOL]-PYRIDOXAL_PHOSPHATE/WATER//PYRIDOXAL/Pi.53.__EG11239-MONOMER': -0.0,\n 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'3.4.21.92-RXN-General-Protein-Substrates/ATP/WATER//Peptides-holder/ADP/Pi/PROTON.68.': -0.0,\n '3.4.24.55-RXN-General-Protein-Substrates/WATER//Peptides-holder/PROTON.57.': -0.0,\n '3.5.1.88-RXN': -0.0,\n '3.5.2.17-RXN': -0.0,\n '3.6.1.41-RXN': -0.0,\n '3.6.3.23-RXN-ACETYLMURAMYL-ALANYL-ISOGLUTAMINE/ATP/WATER//ACETYLMURAMYL-ALANYL-ISOGLUTAMINE/ADP/Pi/PROTON.93.': -0.0,\n '3.6.3.23-RXN-ALA-GLY/ATP/WATER//ALA-GLY/ADP/Pi/PROTON.41.': -0.0,\n '3.6.3.23-RXN-CARNOSINE/ATP/WATER//CARNOSINE/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-10814/ATP/WATER//CPD-10814/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13390/ATP/WATER//CPD-13390/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13393/ATP/WATER//CPD-13393/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13394/ATP/WATER//CPD-13394/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13395/ATP/WATER//CPD-13395/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13397/ATP/WATER//CPD-13397/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13398/ATP/WATER//CPD-13398/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13401/ATP/WATER//CPD-13401/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13403/ATP/WATER//CPD-13403/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13404/ATP/WATER//CPD-13404/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-13406/ATP/WATER//CPD-13406/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-15384/ATP/WATER//CPD-15384/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-20340/ATP/WATER//CPD-20340/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-20746/ATP/WATER//CPD-20746/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-20750/ATP/WATER//CPD-20750/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD-3569/ATP/WATER//CPD-3569/ADP/Pi/PROTON.43.': -0.0,\n '3.6.3.23-RXN-CPD0-1082/ATP/WATER//CPD0-1082/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD0-1085/ATP/WATER//CPD0-1085/ADP/Pi/PROTON.45.': -0.0,\n '3.6.3.23-RXN-CPD0-1445/ATP/WATER//CPD0-1445/ADP/Pi/PROTON.45.': -0.0,\n 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(reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADH-RXN-Butanoyl-ACPs/NAD//POLYMER-INST-TRANS-D2-ENOYL-ACP-C0-H0/NADH/PROTON.69. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADH-RXN-POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8/NAD//POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8/NADH/PROTON.100. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADH-RXN-Stearoyl-ACPs/NAD//Octadec-2-enoyl-ACPs/NADH/PROTON.52. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Arachidoyl-ACPs/NADP//NADPH/trans-delta2-arachidoyl-ACPs/PROTON.64. (reverse)': -0.0,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Butanoyl-ACPs/NADP//NADPH/POLYMER-INST-TRANS-D2-ENOYL-ACP-C0-H0/PROTON.71. (reverse)': 72176.00000000006,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Decanoyl-ACPs/NADP//NADPH/Trans-D2-decenoyl-ACPs/PROTON.56. (reverse)': 72176.00000000003,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Dodecanoyl-ACPs/NADP//NADPH/Dodec-2-enoyl-ACPs/PROTON.54. (reverse)': 72176.00000000004,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Hexanoyl-ACPs/NADP//NADPH/Hex-2-enoyl-ACPs/PROTON.50. (reverse)': 72176.00000000006,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Myristoyl-ACPs/NADP//NADPH/Tetradec-2-enoyl-ACPs/PROTON.56. (reverse)': 62561.000000000015,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8/NADP//NADPH/POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8/PROTON.102. (reverse)': 72176.00000000003,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Palmitoyl-ACPs/NADP//NADPH/2-Hexadecenoyl-ACPs/PROTON.54. (reverse)': 60638.00000000001,\n 'ENOYL-ACP-REDUCT-NADPH-RXN-Stearoyl-ACPs/NADP//NADPH/Octadec-2-enoyl-ACPs/PROTON.54. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14729//CPD0-2108.21.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14729//CPD0-2108.21. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14730//CPD-15568.21.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14730//CPD-15568.21. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14925//T2-DECENOYL-COA.27.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-CPD-14925//T2-DECENOYL-COA.27. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C0-H0//CROTONYL-COA.54.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C0-H0//CROTONYL-COA.54. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C12-H24//CPD0-2117.53.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C12-H24//CPD0-2117.53. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C14-H28//CPD-10262.53.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C14-H28//CPD-10262.53. (reverse)': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C16-H32//POLYMER-INST-TRANS-D2-ENOYL-COA-C16-H32.83.': -0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C16-H32//POLYMER-INST-TRANS-D2-ENOYL-COA-C16-H32.83. (reverse)': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C2-H4//CPD0-2121.51.': 0.0,\n 'ENOYL-COA-DELTA-ISOM-RXN-POLYMER-INST-CIS-DELTA3-ENOYL-COA-C2-H4//CPD0-2121.51. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-CPD0-2171//CPD-15568/WATER.27. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-CPD0-2253//CPD-10262/WATER.27. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-POLYMER-INST-L-3-HYDROXYACYL-COA-C12-H24//CPD0-2117/WATER.58. (reverse)': -0.0,\n 'ENOYL-COA-HYDRAT-RXN-POLYMER-INST-L-3-HYDROXYACYL-COA-C16-H32//POLYMER-INST-TRANS-D2-ENOYL-COA-C16-H32/WATER.88. (reverse)': 0.0,\n 'ENTDB-RXN': -0.0,\n 'ENTF-RXN': -0.0,\n 'ENTG-RXN': -0.0,\n 'ENTMULTI-RXN': 53.99999999999999,\n 'ENVZ-RXN': -0.0,\n 'ERYTH4PDEHYDROG-RXN': 48.99999999999999,\n 'ERYTHRON4PDEHYDROG-RXN': 48.99999999999999,\n 'ETHAMLY-RXN': 0.0,\n 'EVGA-RXN': -0.0,\n 'F16ALDOLASE-RXN (reverse)': -0.0,\n 'F16ALDOLASE-RXN__FRUCBISALD-CLASSI': -0.0,\n 'F16ALDOLASE-RXN__FRUCBISALD-CLASSII': 430519.0833333481,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__CPLX0-303': -0.0,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__CPLX0-7776': -0.0,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__EG11239-MONOMER': -0.0,\n 'F16BDEPHOS-RXN[CCO-CYTOSOL]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.59.__F16B-CPLX': -0.0,\n 'F16BDEPHOS-RXN[CCO-PERI-BAC]-FRUCTOSE-16-DIPHOSPHATE/WATER//FRUCTOSE-6P/Pi.60.': -0.0,\n 'FAD-OX-RXN': -0.0,\n 'FAD-RED-RXN-Ox-FAD-Flavoproteins/NADH/PROTON//Red-FADH2-Flavoproteins/NAD.62.': -0.0,\n 'FAD-RED-RXN-Ox-FAD-Flavoproteins/NADPH/PROTON//Red-FADH2-Flavoproteins/NADP.64.': -0.0,\n 'FADSYN-RXN': 91.0,\n 'FCLEPIM-RXN': -0.0,\n 'FCLREDUCT-RXN (reverse)': -0.0,\n 'FERREDOXIN--NAD+-REDUCTASE-RXN (reverse)': 10.999999999999998,\n 'FGAMSYN-RXN': 43851.00000000398,\n 'FHLMULTI-RXN': -0.0,\n 'FLAVONADPREDUCT-RXN (reverse)': -0.0,\n 'FMN-OX-RXN': -0.0,\n 'FMN-RED-RXN-Ox-FMN-Flavoproteins/NADH/PROTON//Red-FMNH2-Flavoproteins/NAD.62.': -0.0,\n 'FMN-RED-RXN-Ox-FMN-Flavoproteins/NADPH/PROTON//Red-FMNH2-Flavoproteins/NADP.64.': -0.0,\n 'FORMATEDEHYDROG-RXN-FORMATE/CPD-9728/PROTON//CARBON-DIOXIDE/REDUCED-MENAQUINONE/PROTON.67.': -0.0,\n 'FORMATEDEHYDROG-RXN-FORMATE/CPD-9728/PROTON//CARBON-DIOXIDE/REDUCED-MENAQUINONE/PROTON.67.__FORMATEDEHYDROGN-CPLX': -0.0,\n 'FORMYLTHFDEFORMYL-RXN-10-FORMYL-THF/WATER//THF/FORMATE/PROTON.40.': -0.0,\n 'FPPSYN-RXN': 4083.0000000000005,\n 'FRUCTOKINASE-RXN': -0.0,\n 'FUC4NACTRANS-RXN': 0.0,\n 'FUCISOM-RXN': -0.0,\n 'FUCISOM-RXN (reverse)': -0.0,\n 'FUCPALDOL-RXN': -0.0,\n 'FUCULOKIN-RXN': -0.0,\n 'FUMHYDR-RXN': -0.0,\n ...}"
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution.velocities"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:26.457570Z",
-     "end_time": "2023-04-28T10:02:26.460895Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                                              Reaction    Target  Estimated\n0                                         1.1.1.39-RXN  123358.0       -0.0\n1                                         1.1.1.83-RXN   10129.0       -0.0\n2                                       1.13.11.16-RXN     133.0        0.0\n3    1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...   15408.0    15408.0\n4    2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...    3129.0       -0.0\n..                                                 ...       ...        ...\n425  UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...     574.0      574.0\n426                                     URA-PHOSPH-RXN    7558.0       -0.0\n427                                   UROGENIIISYN-RXN   62030.0      107.0\n428                            URPHOS-RXN__URPHOS-CPLX  542101.0       -0.0\n429                                      XYLULOKIN-RXN   11537.0        0.0\n\n[430 rows x 3 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Reaction</th>\n      <th>Target</th>\n      <th>Estimated</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.1.1.39-RXN</td>\n      <td>123358.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.1.1.83-RXN</td>\n      <td>10129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1.13.11.16-RXN</td>\n      <td>133.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...</td>\n      <td>15408.0</td>\n      <td>15408.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...</td>\n      <td>3129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>425</th>\n      <td>UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...</td>\n      <td>574.0</td>\n      <td>574.0</td>\n    </tr>\n    <tr>\n      <th>426</th>\n      <td>URA-PHOSPH-RXN</td>\n      <td>7558.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>UROGENIIISYN-RXN</td>\n      <td>62030.0</td>\n      <td>107.0</td>\n    </tr>\n    <tr>\n      <th>428</th>\n      <td>URPHOS-RXN__URPHOS-CPLX</td>\n      <td>542101.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>429</th>\n      <td>XYLULOKIN-RXN</td>\n      <td>11537.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>430 rows × 3 columns</p>\n</div>"
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "comparison = {key: [kinetic[key], solution.velocities[key]] for key in kinetic.keys()}\n",
-    "comparison = pd.DataFrame(comparison).T.reset_index()\n",
-    "comparison.columns = [\"Reaction\", \"Target\", \"Estimated\"]\n",
-    "# comparison = comparison.melt(id_vars=\"Reaction\", value_vars=[\"Target\", \"Estimated\"], var_name=\"Type\", value_name=\"Flux\")\n",
-    "comparison"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:26.469053Z",
-     "end_time": "2023-04-28T10:02:26.494442Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<Figure size 432x288 with 1 Axes>",
-      "image/png": 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HnJwcfP311/r3NJTp06dj/vz5cHFxQXh4OBISEnDgwAGsXbu2we4hhYODgIuZ13Ex+Zp+L7jA4C5o38EZBddL8PvP2VCrtTiRmAL/3p7o4ufe6I/C1BUao+QDVCXDJbE7sHnPi1Da2fRTVyK6g9T6bfTiiy8avF6xYgVcXV2xa9cuuLq6GlybPn06YmJikJaW1mABRkdHo7KyElu3bsXu3bvh7e2NFStW4IEHHmiwe0ihUMgBUUR2RtVecFET7sX5c1m4drkQwSF+mPj8MOzdfgJZmfnw7eFR40y5hiIIChyP/8PsotiTx1IQPiqIY0JEZBMs/nN47969eO6554ySD1A1KSAmJgbvvfceFi9ebNHPjY6ORnR0tMlr48aNw7hx4ywNtVFptTrI5DL0D/OHVqPD/Be2md4LTimH8/9WDjcmuVyG9NRcs3Uy0/IwbDQPKCIi22DxPGadToeKiooarxcWFlp9enRTKC9Xw6NzO3Tr0cloI1KgqsexZvFe+PXsBLcObRq916HTifDz9zBbx6e7u1Vm5BERmWJxpggJCcFHH32E5ORko2s//vgjtm3bhvDw8IaIzea5tGuNkz+kmH3sdSIxGfathMYf/1Frq2a7CcY7SgBVPbKQIT34+I2IbIbFj+BefvllxMTEIDo6GnfddRe8vb1RUVGBS5cu4eLFi+jSpQvmzp3bGLHaHKVSiYy0PLN1LqVfh7KJ9oIT7JVY9NZ4o4kIgqDAorfGcyo2EdkUixOQt7c3vvnmG2zZsgU//PADEhIS9OXTp0/HpEmT9FvltHRqtQZ+tewF59u9IzRNtBWPKAI+/h7YvOdFnDyWgsy0PPh0d+c6ICKySTZxHpAt0elEFBTUfY85TYXa7HlAmz6fAcG+6Y/kbk47IXBrfOnYdtKw3aSr6TgGudzyCU6Snw2lpKRg48aNWLx4MdLT03Ht2jUkJiZK/XHNkiAoUHC9BAtXxhiNvQiCAgtXxqDwekmN4zKNSa3WoqJCY/PJh4juXJJWJb7xxhvYvn07RFGETCbDyJEjcfPmTcycORPh4eFYt24d7O3tGzpWmyOXy+DQSsBXO09g2ftP4fy5LOReLoSHlyuC+qrwddxJxEwaLOkvAyKils7iHtC2bdvw2Wef4bnnnsOuXbv0O1aHhobi6aefxvfff4/Nmzc3eKC2SNSJ+PlUJo7FX8DLUz9G8Y0y+PXshOIbZXh56sc4Fn8Bv5zKhFLZ8qelExFZyuJvxp07dyIyMhKzZ8+Gt7e3vrxNmzaYN28eHnroIezbt69Bg7RFgqBA2oUryM68jkFDA7By40S4ujnjYvI1uLo5Y+XGiRg0NAA5l/6EDMY9IEFQwN5eaZXHc0REtsDiR3A5OTl46qmnarzer18/HDp0qF5BNQfVOw/0G9gNCrnc5E4I894cC8iA4qIyOLS2/9+ecdytmogIkJCA2rVrh9zcmrd8SUtLg4uLS72Cag50OhEODgK69eyEqf96z+ROCMtf/RybPp+BzLQ89A5WcbdqIqJ/sPgR3PDhw7F9+3ZcvHhRX1a9W3ZiYiLi4uIwdOjQhovQRqnVWoRF9MapH1Jr3QDU0cm+ajp0LbtVqys0TRE6EZFNsDgBzZw5E+7u7oiOjsazzz4LmUyG9evXIyoqCtOmTUPHjh0xc+bMxojV5rR2tEdGqvmdEDIv5sGne9UebSePmd+25+SxFI4JEdEdw+IE1KZNG+zatQtTpkxBZWUl7O3t8euvv+LWrVuYNGkS9uzZY3Kn7JZIpxPh3dXNbB2vLm6QK+R13q2aU7aJ6E4haR1Qq1at8OKLLxqdFQRAfzjdP2fItVRqtRYDwrpj23+O1LgTQv+w7vpr3K2aiOhvFveAAgICzE6z/uKLL/DII4/UJ6ZmRbBTYM6SKPQN8cWT08Lx5LShCLqnK+z+Vy7YVT1S427VRESGau0B5eXl4aefftK/FkURp0+fhkZjPGCu0+nwzTffGBzh3ZLJ5TJcSs9Hj0AvdPXriFM/piHn0p8YGN4Ts157CGWl5Thz/CKGjb4bAHerJiL6p1o3I1Wr1RgzZgwuXbpU9QaZDLXtX/rkk0/i1VdfbbAgm5Ilm5EqlXJczSrA9bxirF601yipLFwZA51Wh17BKv216nVA3K36b9wYUjq2nTRsN+kacjPSOu2GffXqVVy+fBmiKGLixImYOnUqBg0aZFRPLpfD1dUVvr6+FgdiKyxJQJpKDf7Mu4n5L3xc4xjQ5s9fhNLeuKPZnHarbmz8MpCObScN2026hkxAdZqE4OnpCU9PTwDAsmXL0K9fvztikoE5gqBA8q/ZyL70p/mp1T+mIDwyyOTaHyKiO5nFkxCioqJqTD46nQ4lJSX47rvv6h2YrZPLZbhZ/BeuXS40Wy8zNY9re4iITLB4GnZJSQlef/11/PDDD/jrr79qHA9KSkqqd3C2TKcT4dK2NTp5mV/z1MW3AxMQEZEJFveAVq1ahQMHDqBbt24IDQ2FKIp48MEHERoaCqVSCXt7e7z77ruNEatNUau16N6rM4L6djU7tTronq5NGxgRUTNhcQL6/vvvMXz4cOzcuROrV68GUDXrbevWrdi1axfkcjkyMjIaPFBb1NrJHnKZDHOWRKF1awVWbXwa2/bNwqqNT6N166rdsHOv3IBGw/EeIqLbWZyACgsL9TPg2rVrB3d3d5w/fx5A1SLVsWPH4ptvvmnYKG1UebkGHT1dEHhPV7y3YwZSL1zFpxu/R+qFq3hvxwx08XWDX89OKCurtHaoREQ2x+IxIEdHR+h0Ov3rLl26IDU1Vf/a398fe/bsaZjobJxMBuhEICPpKt6YG2cws+2j9xPw2qoY+AV43rHre4iIzLG4BxQUFIQDBw5Aq636su3WrRvOnDmjn4yQmZkJOzu7ho3SRqkrNNBotEbJB6gaI3pjbhzU5WorRUdEZNssTkCTJ0/G2bNnMXLkSBQXFyMqKgoZGRmYPHkyFi9ejG3btiEkJKQxYrUpgqCAUinHf48kmV0HdPxIEtq1a9XE0RER2T6LE1BoaCg2bdoEHx8ftGnTBkFBQZg7dy5++eUX7Ny5E7169cL8+fMbI1abIpfLYG8vICsj32y9rMx8yOUWNzMRUYsn6TiGsLAwhIWF6V8/88wzePLJJ1FeXo42bdo0WHC2rOqEUzVUvh3N1lP5dDQYMyMioiqSEhBQtUlpQUGB0ZdraWnVPmrVW/e0VGq1FhqNDgOHBeCj9xNq3Atu4LAA3LjB/aaIiG5ncQK6cuUKFixYgNOnT5vdFbul74QAVB2voNPo8NqqGKOJCIKgwGurYmDnIHAWHBGRCRYnoEWLFuHs2bMYPXo0vLy8oFDcudvMiCIgV8rhF+CJzZ/PwPEjScjKzIfKpyMGDQuAwORDRFQjixPQuXPnMGXKFMycObMx4mmWrl8rhlajxd39uuKe0G7QqDUouF4ChVKBDp1cmISIiEywOAG5uLigXbt2jRFLsyOTAepyNfKu3jB5IN2cJVFo38EZMgVnwRER3c7ib8YnnngCO3fuRFFRUSOE07zIdCLUlVqj5ANUTVJYvWgv/iot527YREQmWNwDeuaZZ/DTTz8hIiICffv2Rfv27Y3qyGQy/Pvf/26QAOti3bp1OHjwIGQyGYYMGYKXX3650dfeODgIKMgrxtkT6WYXop76MQ2jovtCIwMfxRER/YPFCWjLli348ccfAQDHjh0zWacpE1BiYiKOHz+Or7/+GnK5HI8//jgSEhIwfPjwRr2vQiFHa0cHZF7MM1vvcvaf2Lf7NLoFeMLH34NJiIjofyxOQNu2bUNQUBCWLVuGrl27Wn0W3H333YeBAwdCEAQUFhaipKQELi4ujX5fuRy4cD671gPpfLt74NqVQiyJ3YHNe16E0k7y0isiohbF4udUJSUlePTRR+Hn52f15FNNEARs3rwZ999/P9zc3NCnT59Gv6dOB5w9kY6gviqzB9KFDPbHjRtlUKu1OHksheNBRET/Y3EC6tOnD5KTkxsjlnqZMmUKTp06BTc3N6xatarR76fV6uDb3R17t5/AS4ujjBKLICjw6orHkJ9bjLZtHQEAmWl5kMtljR4bEVFzYPHzoIULF2LixIlo3bo1IiIi4ObmZrIn1FRb8aSmpkKj0aBXr14QBAEPPvggtm7d2uj3LS9XI/S+nvjgne8AAMvefwrnz2Uh93IhPLxcEdS3K1q1FvDNrtOo+N+RDD7d3aHTcRCIiAiQkIDGjh0LtVqNDz74wOwXfVNtxZORkYFNmzZh586dUCgU2L9/P/r3798k9xbslViw/DH8e94u/Pf7ZAQGd4GrmzN+O3sJnl6u+CH+DwQEeeN6XnHV47ghPWqcMUdEdKexOAFNnjwZMlnDP0ZKSkrC2LFjkZCQAA8PD4Nr+/btw4YNG5CTk4POnTtj6tSpeOSRRwAAkZGRSElJwSOPPAKFQoF+/fph2rRpDR7f7QRBge8PnkdgcBcs3zARv/+SjSvZf6JzFzf0vtsbe7efwKkfU/HE1HB8vu04Fr01HoK9krPgiIj+Ryaa21G0iaSnp2PSpEnIy8tDYmKiQQLav38/YmNjMXHiRISFhSE+Ph47d+7EunXrEBkZ2eCxiKJYp16KXC7Duje/QWdvVwwMD0DKhSsoL6+Eg4MdPDzb4uu4kwgfeRfatndCJ692cHCwg5ITEExSKqvaRaNh79BSbDtp2G7SmWo7QVBI6pjU2gO6evUqXF1d4eDgoH9dF3UZA9JoNIiLi8OaNWsgCILJOmvXrsWoUaP0h9wNHjwYxcXFjZaA6koURYTe1wMV5Rq8MGGD8U7Yq8fBzl4JD892cHLmiahERLerNQHdf//9WLlyJcaMGQMAGDZsWJ0yXV3GgM6ePYvVq1fjmWeegbu7OxYuXGhwPScnB9nZ2YiNjTUoHzlyJA4cOICcnBx4e3vXeh9LiCJQXFy383t8urljytj10Gh0uKuvCu07OKPgegl+/zkbb8zZiU27ZyDl98voFazi2I8ZLi5VCbqu7U5/Y9tJw3aTzlTbtW/vBCkjM7UmoOnTp6NHjx4GrxtqDMjPzw/x8fFo3749vvjiC6PrGRkZAAAfHx+DcpVKBQDIzMxs8ARUV4KgwPGEPzAgzB9RE+7F+XNZuHa5EMEhfpj4/DDs3X4Cx48mQRRFBN7T1SoxEhHZsloT0IwZMwxev/jii7X+0MrKyjrd3M3Nzez1kpISAICTk5NBuaNj1bqa6tNXrUEul0EURQyO6I35L2wzegT30uIoFBWWwEvVkVOviYhMsHgh6v3334+EhIQar+/btw+DBw+uV1DVapsf0dgbjpqj04kI7u+LNYtN74S9ZvFe9BngB19/Dz5+IyIyodYeUGFhIdLT0/Wvr1y5gt9++w1t2rQxqqvT6fDdd9/VuQdUG2dnZwBAWVmZQXl1z6f6urX8cjrD7E7Yv57OQPiou6FjAiIiMlJrArK3t8dLL72E69evA6ja6Xrjxo3YuHGjyfqiKOKBBx5okOCqx36ys7MNxqGysrIMrluDICiQnmp+J+yMtDwMf0jBHhARkQm1JiBHR0ds2LABqampEEURCxYswGOPPYbg4GCjunK5HK6urggNDW2Q4FQqFby8vHDw4EGD4xUOHz6Mrl27Ntl2PzXx7e5u9rpPN/PXiYjuZHXaCaF3797o3bs3gKp1QCNGjIC/v3+jBlZt+vTpmD9/PlxcXBAeHo6EhAQcOHAAa9eubZL710SnE9FngC8EwXQPRxAU6NPflxMQiIhqYPFWPLfPigMAtVqN48ePQy6XY+DAgVAqG+7Mm+joaFRWVmLr1q3YvXs3vL29sWLFigZ7zCeVKIr45XQGXlocZTQRoXoW3K9nMjFs9N1WjJKIyHZZvBVPZWUlli5disuXL2Pr1q2orKxETEyM/ogGPz8/fPzxxyaP6m4OdDoRBQW1T+8WBAW+P3Ae589eQtSEe/HHrzlGe8EF3dMV4aOCOAZUCy4KlI5tJw3bTbqaFqJKOWrG4nnM69evx65du9CpUycAwJdffomkpCQ8+eST+Pe//43r169j3bp1FgfS3KjVWoQM6QGFoqrR23dwhn/vzmjfoWpmnkIh4+7XRERmWPys7MCBAxg7diyWLl0KADh06BCcnZ3x8ssvQ6lUIicnB7t3727wQG2RYK9ExIN9TC5EfW1VDHe/JiIyw+IeUG5urv7I61u3buH06dMIDQ3Vj/t06tQJN2/ebNAgbZW6QoM35saZXIj6xtw4qCs0VoqMiMj2WZyA3Nzc8OeffwIAfvjhB1RWViI8PFx/PSUlBR07dmywAG2VIChw8liK2YWoP32fZHRUNxERVbH4EVxISAg+/vhj2Nvb47PPPkOrVq0QERGBmzdvYs+ePdi1axfGjRvXGLHaFLlchvTUXLN1MtPyIGp1TRQREVHzYnEPaMGCBejZsydWrFiBwsJCLF26FG3atEFaWhpWrFiBoKAgTJ8+vTFitSk6nYhuPTzM1vHwcsWvZzLh6GjXRFERETUfFveA2rRpgw8//BCFhYVwcnKCnV3Vl2tAQADi4uJw9913xroXtVqLe4f0xOa3D9e4ELVfaDfs+/wUQsMDrBAhEZFtq7UHNGPGDJw5c8agTBRF5OfnQ6v9+4u3devWuPvuu/H1118jIODO+MJt7WyPhStjjMZ5BEGBOUui8NdfFRgwyN+gnYiIqEqtPaD4+HiMHDnSoKyoqAhRUVHYunVrg+371hxVVGjg080dy96fiPPnLiH3ciE8vFwR1FeFvdtP4NSPqdj8+QyUlTXM7uBERC2J5D1zLNxAoUWSicD3h3/Dh+sTEBjcBa5uzvj5ZDo++c9RffucOJaCiDHBKC9XWzlaIiLb0nCbtt1hBEGBtAtXcDmrAKIo4rdzWSbrZV7Mg0JhvYPziIhsFROQRHK5DA6tBPh0q1rzpFTKMe/NsejcxRVXsgux/NXPodHo4NPNHVpOxSYiMsIEJJFOJ8KtQxsgQIaVm55GB3cX/PdIEk79mAqVb0ds3vMirucVo41LayYgIiITmIAkUijk+CkxGXf1VaHwz1I8N3a9wXTsj95PwGurYtDBvY2kXWKJiFq6OiWgoqIiXL16Vf+6uLgYAFBYWGhQDgA3btxowPBsl0IhR+bFfNx7X0/MnvRBjfvBbf58Bg+lIyIyodbzgHr27AmZzPgveFEUTZZXS0pKqn90VlDX84AcHe1w43opfkpMxuZ1h2usN2XmCDz4WH+UlFQ0ZJgtCs9mkY5tJw3bTbqGPA+o1h5QVFSUxT/0TqBUKuDm3gZZGflm62Vl5kOp5IakRES3qzUBLVu2rCniaHbkchlyrxVB5Wt+52+VT0c+giMiMoELVCTSaLQ4kZiCgcMCajxyQRAUGDgsAH/9xZ0QiIhuxwQkUUlJBQYNC8D1vOKq009N7Af32qoY2DkIPJabiMgETsOuB8FBQPlflXBobYfNe17ET0eTkJmRD1XXDhg0LACCg2DtEImIbBYTUD2IIuAX4Al1uRo/fZ8EtUaLIRG94evvAfEfdYiIyBgTUD3IZEBmai6WxO4weMwmCAosems8fPzNH1hHRHQn4xhQPagrNEbJB6hahLokdgcqy9Uws1SKiOiOxgQkkSAocPJYco0TDNRqLU79kAIZH8EREZnEBCRRq1YC0lPyzNZJT8uDplJT4zRtIqI7GROQRDKZDN5d3czW8e7iBp0ocjNSIiITmIAk0mi06B/W3ewi1P6DuuOv0gruhEBEZAITkERlZZVwdLTHnCVRJhehzlkShdaO9mjt7MCFqEREJnAadj3IBQU6erhg2fsTcf7cJeReLoSHlyuC+naFQiGDWqOBQ2t7rgUiIjKBCaie2rRrDblcjs7ervDp1hFt2znCvVNb6ERAppAx+RAR1YCP4OpBXaHBtMfexwfvfIeufh2Rd7UIB748h+++/RV5V29AXa7hOiAiohqwBySRIChwPP4PDAjzR9iwXpjxxEaj3RAWLH8MPQI7g50gIiJj7AFJJJfLkJ6ai6gJ92LN4r0md0P497xd+Ku0guuAiIhMYAKSSKcTMSCsO86fyzK7G8LJYylMQEREJjABSaRWa3FXsArXLhearZd96XoTRURE1LwwAdWHXA7f7u5mq/h2d+c6ICIiE1pcAqqsrMSkSZNw9OjRRr+XWq1FaLj5I7lDhvRkAiIiMqFFJaDk5GQ8/vjjOHfuXJPdU7BXYtFb403uhrDorfEQ7DnRkIjIlBb17bhjxw688MIL2Lp1a5PdUxQBH38PfLD3/+FEYjIyUvPg4++OkME9INgruRCViKgGLaoHtGTJEgwdOrRJ7ymTAepyNX6I/wPltyoRGt4TYcMCoOTMNyIis1pUD6ipyWRAetJVvDE3zmgR6sKVMXD3bAvntq3ZCyIiMqFF9YCamrpcbZR8gKrJCUtfjoMgKKCu0FgpOiIi28YEJJGDg4DjR5PMLkL9KTEF168VcSEqEZEJNvcILikpCWPHjkVCQgI8PDwMru3btw8bNmxATk4OOnfujKlTp+KRRx5p0PvLZICLS6ta6ykUcmSl55utk52ZD78eHnBysuehdGYolVUJui7tTobYdtKw3aQz1XZSN122qQSUnp6OqVOnQqMxfmy1f/9+zJkzBxMnTkRYWBji4+PxyiuvwMHBAZGRkQZ1P/nkk0aPVRR1UPl1NFuni09HKJVyiBwEIiIyIhNt4NtRo9EgLi4Oa9asgSAIKCoqQmJiokEPaPjw4QgMDMTatWv1ZbNmzUJKSgoOHDjQYLHodCIKCkrrFneFGlPGrjf5GE4QFPhP3AtQKBVQ2tlUnrc51X9JFRffsnIkzQ/bThq2m3Sm2q59eyfI5ZZ3g2xiDOjs2bNYvXo1Jk+ejDlz5hhdz8nJQXZ2NkaMGGFQPnLkSGRkZCAnJ6epQjUgOAh4bVWMyUWoC1fGQK3WciEqEVENbOLb0c/PD/Hx8Wjfvj2++OILo+sZGRkAAB8fH4NylUoFAMjMzIS3t3fjB3obUQT8Ajyx+fMZOH40CVkZ+VD5dMTAoT0h2AuQyXkiKhFRTWwiAbm5uZm9XlJSAgBwcnIyKHd0dAQAlJbW7ZFZYxBFQGkv4JHxIZDJ5Kis1KCiQgO1WsvkQ0Rkhk0koNrUNkwll1v/SaJOBwA6lJZWWDsUIqJmwfrf3HXg7OwMACgrKzMor+75VF8nIqLmo1kkoOqxn+zsbIPyrKwsg+tERNR8NIsEpFKp4OXlhYMHDxqUHz58GF27doWnp6eVIiMiIqmaxRgQAEyfPh3z58+Hi4sLwsPDkZCQgAMHDhisCyIiouaj2SSg6OhoVFZWYuvWrdi9eze8vb2xYsUKPPDAA9YODQAgl1dNhnB0tENZWaW1wyEisnk2sROCLbFkJwTg7/OAjh/53zog344YNCwAgoPAadh1xFXp0rHtpGG7SdeQOyE0mx6QLarpPKCP3k/Aa6ti4BfgySRERFSDZjEJwVaZOw/ojblxUJerrRQZEZHtYwKSyNHRDsePmD8P6PiRJDg62jVxZEREzQMTkEQKhQJZGebPA8rKzIdCwcPoiIhMYQKSSKvVQuVr/jwglU9HaLWme0hERHc6JiCJysoqq2a71XDctiAoMHBYAKdkExHVgAmoHsydB/TaqhjYOQhWioyIyPZxGnY9GJwHdCQJWZlV5wFxHRARUe2YgOpJfx7QhBDI5XKUl6tRVlbJ5ENEVAsmoAai0wE6nY5jPkREdcQxICIisgomoAYikwFyuazGWXFERGSIj+DqSSYD1BUa7N9zBhdTcuHn74GQIT0g2Cs5DkREZAYTUD3IZEBmai6WxO4w2JJny7rDWPTWePj4ezAJERHVgI/g6kFdoTFKPkDVPnBLYndAXaGxUmRERLaPCUgiQVDg5LEUs5uRnjyWwjEhIqIaMAFJJJfLkJ6aa7ZOZlqepEOaiIjuBExAEul0Ivz8PczW8enuDp2Og0BERKYwAUmkVmurZruZ2Yw0ZEiPGh/RERHd6ZiA6kGwV2LRW+NNbka66K3xEOw5yZCIqCb8hqwHUQR8/D2wec+LOPVDCjJS8+DT3Z3rgIiI6oAJqJ5EEVDaKfHAo/0gk8lQWloBtVrL5ENEVAsmoAYiioAoihzzISKqI44BERGRVTABERGRVchEkaMV/ySKoqTxG5ms+v0NG8+dgG0nHdtOGrabdKbaTiYDZDLLF90zARERkVXwERwREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFExAREVkFE5AF9u3bh9GjRyMoKAijRo3Cl19+abZ+WVkZlixZgkGDBiE4OBhTpkzBpUuXmiRWW2Jpu3311Vfo0aOH0T//93//1zQB26CkpCT07t0bubm5ZuvxM2eoru3Gz1wVnU6HHTt2YMyYMQgODkZERASWLVuG0tLSGt+j0Wjw9ttv47777sPdd9+NCRMm4Pz583W6H4/krqP9+/djzpw5mDhxIsLCwhAfH49XXnkFDg4OiIyMNPme2bNn47fffsPLL78MR0dHrF+/Hk899RS+/fZbODs7N/FvYB1S2i05ORkqlQorV640KHdzc2uKkG1Oeno6pk6dCo1GU2tdfub+Zkm78TNXZcuWLXj77bfxzDPPIDQ0FJmZmXjnnXdw8eJFfPDBBybf8+abb2Lv3r2YM2cOPD098eGHH+Lpp5/GV199BW9vb/M3FKlOIiIixFmzZhmUzZw5U4yMjDRZ//Tp06K/v7+YmJioLysoKBD79Okjbty4sVFjtSWWtpsoiuKkSZOM3nMnUqvV4qeffioGBweLAwYMEP39/cVr167VWJ+fuSqWtpso8jMniqKo0+nE/v37i4sXLzYo//bbb0V/f3/xwoULRu/JyckRAwICxO3bt+vLKioqxPDwcPH111+v9Z58BFcHOTk5yM7OxogRIwzKR44ciYyMDOTk5Bi95/jx43B0dMSgQYP0Za6urujfvz+OHTvW6DHbAintBlT9NdqjR4+mCNGmnT17FqtXr8bkyZMxZ86cWuvzM1fF0nYD+JkDqh7fPvTQQ3jwwQcNyn19fQEA2dnZRu85ceIEtFotRo4cqS+zs7NDeHh4nT5zTEB1kJGRAQDw8fExKFepVACAzMxMk+9RqVRQKBQG5V26dDFZvyWS0m75+fkoKCjAhQsXEBkZid69e2PkyJG1jhu1RH5+foiPj8eMGTOMPkem8DNXxdJ242euipOTExYuXIh77rnHoDw+Ph4A0K1bN6P3ZGRkwMXFBa6urgblKpUKV69eRXl5udl7cgyoDkpKSgBU/Qf6J0dHRwAwOUBXWlpqVL/6PeYG9FoSKe2WnJwMALh8+TLmzp0Le3t7fPnll3jllVeg1Wrx6KOPNnLUtsPS8Qd+5qpY2m78zNXs119/xaZNmxAREQE/Pz+j6+Y+c0BVr8rBwaHGn88EVAeiKJq9LpcbdyTNvcdU/ZZISrsFBgbiP//5D/r376//YIeFhaGgoADr1q27o78MasPPnDT8zJl29uxZTJs2DV5eXli6dKnJOrX9Py6Tycxe56eyDqpnD5WVlRmUV/9VaWp2kZOTk1H96p9h6i+GlkhKu7m6umLo0KFGbXTfffchLy8PhYWFjRRt88fPnDT8zBnbv38/Jk2ahE6dOuGjjz5Cu3btTNar6TNX/f94bZ87JqA6qB7DuH0QLisry+D67e/Jyckx+gshKyvLZP2WSEq7/fzzz9i9e7dReUVFBZRK5R03ldgS/MxJw8+coQ8//BCxsbHo06cPPvvsM3Ts2LHGur6+vigqKkJxcbFBeVZWFry8vGBnZ2f2XkxAdaBSqeDl5YWDBw8alB8+fBhdu3aFp6en0XvCwsJw8+ZN/Pe//9WXFRYW4syZMxg4cGCjx2wLpLTbL7/8goULF+qfywNVi+MOHTqEvn37QhCERo+7ueJnThp+5v62e/duLF++HKNGjcKWLVtqTb7Vn6tDhw7pyyorK/H999/X6TPHMaA6mj59OubPnw8XFxeEh4cjISEBBw4cwNq1awFU/Y+enZ2Nbt26wcnJCf3798eAAQMQGxuLOXPmoG3btnj33Xfh7OyM8ePHW/m3aTqWtlt0dDS2bduGGTNmYNasWXB0dMT27duRmpqKzz77zMq/jW3hZ04afuZMKygowJtvvonOnTvj8ccfx4ULFwyud+nSBXZ2drh48SK6dOkCV1dXdO7cGVFRUVi6dCn++usvqFQqfPjhh7h58yaeffbZ2m9aj3VLd5wdO3aIw4cPFwMDA8VRo0aJe/fu1V/bs2eP6O/vL544cUJfVlRUJM6bN0/s16+f2LdvX3HKlClienq6FSK3Lkvb7fLly+Ls2bPFgQMHikFBQeKECRPE06dPWyFy21HdTv9cUMnPXO3q2m78zIni3r17RX9//xr/+fLLL8UTJ06I/v7+4p49e/Tvq6ioEN98800xNDRUvPvuu8UJEyaIv/zyS53uKRPFWqYxEBERNQKOARERkVUwARERkVUwARERkVUwARERkVUwARERkVUwARER3SHqekKsKcnJyZg0aRL69euHIUOGYPHixfXe5JYLUYkayLx587B3795a60VFRWH58uVNEFHdlJaWorKy0mhLfWpZLDkh9nbXr1/HxIkT4e3tjdWrV+PGjRtYuXIlrl69ik2bNkmOiQmIqIHExMQgNDRU//rs2bOIi4tDTEyMwRkrXbp0sUZ4Jv3+++94/vnnsXr1aoSEhFg7HGoEGo0GcXFxWLNmjeRthY4cOYKioiLs3btXv4WWVqvFq6++iitXrqBz586Sfi4TEFEDCQ4ORnBwsP61VqtFXFwc+vTpg4cfftiKkdUsNTUV+fn51g6DGlH1CbHPPPMM3N3dsXDhQqM63333HTZs2IC0tDS4uLhgzJgxmD17tn4z0YqKCgB/n/MDAG3btgUAFBUVSU5AHAMiImrBajsh9ptvvsGMGTPQvXt3vPfee5g2bRri4uLw0ksv6euMGjUKHTp0wJtvvomCggJkZGTgvffeg7+/P3r27Ck5NvaAiJqQKIrYuXMn9uzZg/T0dGg0GnTu3BnR0dGYMmWK/gCvYcOGYeDAgdDpdNi3bx/atm2LL7/8Eq6urkhMTMT69euRlpaG9u3bY/Lkybhw4QJ++uknHDlyRH+vixcvYu3atTh58iTUajUCAgIwffp0DB48GADw7rvvYv369QCAp556Cp07dzZ4P7UM5k6IFUURq1evxtChQ7FixQp9uYeHB6ZPn46zZ8/innvuQYcOHbB48WLExsbiq6++AgB4enri008/rdOx5zVhD4ioCb399ttYvHgxunXrhvnz5yM2Nhb29vZYs2YNtm/fblD322+/RUpKChYsWIDHHnsMrq6uOHr0KJ5//nmo1WrMnj0bI0eOxPLlyxEfH2/w3pSUFMTExODixYuYOnUqZs+eDY1Gg+eeew779+8HAAwfPhwxMTEAgGnTpmHBggVN0whkMzIyMpCbm4thw4ZBo9Ho/xk8eDAEQdAf7VHdSxo+fDi2bt2Kd955B23atMGkSZPw559/Sg+gMXZVJaK/d12u3jm4srJS7Nu3rzh79myDeiUlJWJgYKA4depUfdnQoUPFnj17irm5uQZ1IyIixBEjRoi3bt3Sl3333Xeiv7+/OHToUH3ZE088IUZERIhlZWX6MrVaLU6YMEEcOHCgWFFRYRDjP3eGppbr9t3Bz5w5Y3YH7IULF4qiKIojRowQn3jiCYOfVVBQIPbt21dcvny55Hj4CI6oiVT/RalWqw3Kb9y4AScnJ/z1118G5V26dIG7u7v+dXJyMrKzszFv3jw4ODjoyyMiIuDr66sfKL5x4wZOnTqFJ598EuXl5SgvL9fXHT58OJYtW4bffvvNYGYe3ZmqD5ybP3++yc9D9VHcV65cQWRkpME1V1dX+Pn5IS0tTfL9mYCImpAgCPj++++RkJCAzMxMZGVl6Y8zFm87GaV9+/YGr6uPMlepVEY/19fXF0lJSQCAnJwcAMAnn3yCTz75xGQc165dq98vQi2Cn58fXF1dceXKFTz99NP68suXL+PVV1/F5MmT4eXlBR8fH5w9e9bgvcXFxcjMzMQDDzwg+f5MQERNRBRFvPDCCzh69CjuueceBAcHIyYmBv3798fEiRON6t8+uFu9gLB6auw/2dvb6/9dq9UCAB5//HFERESYjKVbt26Sfw9qORQKBWbNmoUlS5ZALpdjyJAhKCoqwrvvvouSkhL06tULADBz5kzMmDEDL730EqKjo1FaWoqNGzdCp9Nh8uTJku/PBETURM6cOYOjR4/ihRdewMyZM/XlGo0GRUVF8Pb2Nvv+6uuXLl1CWFiYwbVLly7p/716TYZCocDAgQMN6l28eBGXL19Gq1at6vOrUAsSExMDJycnbNmyBdu3b9cf7x4bG4sOHToAqHrMu2HDBmzYsAHTpk2Di4sLgoODsXbtWpM98rpiAiJqIkVFRQCMex+7du3CrVu3at0iJTAwEJ06dcLnn3+Oxx57TN8T+uWXX3DhwgX9CvWOHTsiMDAQe/fuxbPPPqsfR1Kr1ViwYAGSk5ORmJgIAJDLqybC6nS6Bvs9yXZFR0cjOjraqHz06NEYPXq02fcOHToUQ4cObdB4mICImkhwcDCcnJywbNkyXLlyBS4uLjh58iT2798Pe3t7lJWVmX2/XC7HvHnzMGvWLIwbNw4PP/wwCgsLsW3bNqPHcgsXLsTEiRPx6KOPYvz48Wjbti2+/fZb/Prrr3jppZf0g8vV+7/t2LEDf/75J8aMGdM4vzyRCVwHRNRE3NzcsGnTJnh7e2PDhg146623cPXqVbz11luYMGECLl68WOuaisjISKxduxYajQarVq3Cvn37MH/+fAQGBhokoeDgYOzYsQOBgYH48MMPsWrVKty6dQvLly/Hc889p68XGhqKUaNGITExEW+88YZ+Jh1RU5CJt0+9ISKbpNVqUVxcbHLX6jFjxqBNmzb47LPPrBAZkTTsARE1E1qtFkOGDMHrr79uUJ6SkoK0tDQEBQVZKTIiaTgGRNRM2NnZITIyEp9//jlkMhkCAwORn5+PHTt2oF27dpg0aZK1QySyCB/BETUj5eXl+OCDD/D111/j2rVrcHZ2RmhoKGbNmgUvLy9rh0dkESYgIiKyCo4BERGRVTABERGRVTABERGRVTABERGRVTABERGRVfx/DBcrtzaKLdkAAAAASUVORK5CYII=\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.scatterplot(x=\"Target\", y=\"Estimated\", data=comparison)\n",
-    "plt.yscale('log')"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "start_time": "2023-04-28T10:02:26.477709Z",
-     "end_time": "2023-04-28T10:02:26.576911Z"
-    }
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Evaluate actual sim fluxes"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "dict_keys(['estimated_fluxes', 'estimated_homeostatic_dmdt', 'target_homeostatic_dmdt', 'target_kinetic_fluxes', 'estimated_exchange_dmdt', 'estimated_intermediate_dmdt', 'maintenance_target', 'reaction_catalyst_counts', 'time_per_step', 'unconstrained_molecules', 'constrained_molecules'])"
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba.keys()"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                                              Reaction    Target  Estimated\n0                                         1.1.1.39-RXN  123358.0       -0.0\n1                                         1.1.1.83-RXN   10129.0       -0.0\n2                                       1.13.11.16-RXN     133.0        0.0\n3    1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...   15408.0    15408.0\n4    2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...    3129.0       -0.0\n..                                                 ...       ...        ...\n425  UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...     574.0      574.0\n426                                     URA-PHOSPH-RXN    7558.0       -0.0\n427                                   UROGENIIISYN-RXN   62030.0      107.0\n428                            URPHOS-RXN__URPHOS-CPLX  542101.0       -0.0\n429                                      XYLULOKIN-RXN   11537.0        0.0\n\n[430 rows x 3 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Reaction</th>\n      <th>Target</th>\n      <th>Estimated</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.1.1.39-RXN</td>\n      <td>123358.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.1.1.83-RXN</td>\n      <td>10129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1.13.11.16-RXN</td>\n      <td>133.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.5.1.20-RXN-5-METHYL-THF/NAD//METHYLENE-THF/N...</td>\n      <td>15408.0</td>\n      <td>15408.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2.1.1.79-RXN-S-ADENOSYLMETHIONINE/CPD-18361//C...</td>\n      <td>3129.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>425</th>\n      <td>UNDECAPRENYL-DIPHOSPHATASE-RXN[CCO-CYTOSOL]-UN...</td>\n      <td>574.0</td>\n      <td>574.0</td>\n    </tr>\n    <tr>\n      <th>426</th>\n      <td>URA-PHOSPH-RXN</td>\n      <td>7558.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>UROGENIIISYN-RXN</td>\n      <td>62030.0</td>\n      <td>107.0</td>\n    </tr>\n    <tr>\n      <th>428</th>\n      <td>URPHOS-RXN__URPHOS-CPLX</td>\n      <td>542101.0</td>\n      <td>-0.0</td>\n    </tr>\n    <tr>\n      <th>429</th>\n      <td>XYLULOKIN-RXN</td>\n      <td>11537.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>430 rows × 3 columns</p>\n</div>"
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sim_comparison = {key: [kinetic[key], solution.velocities[key]] for key in kinetic.keys()}\n",
-    "sim_comparison = pd.DataFrame(sim_comparison).T.reset_index()\n",
-    "sim_comparison.columns = [\"Reaction\", \"Target\", \"Estimated\"]\n",
-    "# comparison = comparison.melt(id_vars=\"Reaction\", value_vars=[\"Target\", \"Estimated\"], var_name=\"Type\", value_name=\"Flux\")\n",
-    "sim_comparison"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false
-   }
   }
  ],
  "metadata": {

From 10ad94ff8fc6d3fd7e51c4d64b47f61ebf110078 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Tue, 13 Jun 2023 18:05:30 -0700
Subject: [PATCH 23/58] New metal binding investigation notebook started.

---
 ecoli/processes/metabolism_redux.py           |  10 +-
 notebooks/fbagd/metal_binding.ipynb           | 578 ++++++++++++++++++
 notebooks/fbagd/{ => old}/comparison.ipynb    |   0
 notebooks/fbagd/{ => old}/graph_work.ipynb    |   0
 .../fbagd/{ => old}/test_environments.ipynb   |   0
 .../fbagd/{ => old}/test_network_flow.ipynb   |   0
 6 files changed, 583 insertions(+), 5 deletions(-)
 create mode 100644 notebooks/fbagd/metal_binding.ipynb
 rename notebooks/fbagd/{ => old}/comparison.ipynb (100%)
 rename notebooks/fbagd/{ => old}/graph_work.ipynb (100%)
 rename notebooks/fbagd/{ => old}/test_environments.ipynb (100%)
 rename notebooks/fbagd/{ => old}/test_network_flow.ipynb (100%)

diff --git a/ecoli/processes/metabolism_redux.py b/ecoli/processes/metabolism_redux.py
index 6a1fdf5a3..b8560f889 100644
--- a/ecoli/processes/metabolism_redux.py
+++ b/ecoli/processes/metabolism_redux.py
@@ -231,11 +231,11 @@ def next_update(self, timestep, states):
 
         # Initialize indices
         if self.homeostatic_metabolite_idx is None:
-            bulk_ids = states['bulk']['id']
-            self.homeostatic_metabolite_idx = bulk_name_to_idx(self.homeostatic_metabolites, bulk_ids)
-            self.catalyst_idx = bulk_name_to_idx(self.catalyst_ids, bulk_ids)
-            self.kinetics_enzymes_idx = bulk_name_to_idx(self.kinetic_constraint_enzymes, bulk_ids)
-            self.kinetics_substrates_idx = bulk_name_to_idx(self.kinetic_constraint_substrates, bulk_ids)
+            self.bulk_ids = states['bulk']['id']
+            self.homeostatic_metabolite_idx = bulk_name_to_idx(self.homeostatic_metabolites, self.bulk_ids)
+            self.catalyst_idx = bulk_name_to_idx(self.catalyst_ids, self.bulk_ids)
+            self.kinetics_enzymes_idx = bulk_name_to_idx(self.kinetic_constraint_enzymes, self.bulk_ids)
+            self.kinetics_substrates_idx = bulk_name_to_idx(self.kinetic_constraint_substrates, self.bulk_ids)
 
         # metabolites not in either set are constrained to zero uptake.
         exchange_data = states['environment']['exchange_data']
diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
new file mode 100644
index 000000000..4c7616b56
--- /dev/null
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -0,0 +1,578 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:51:20.160597Z",
+     "start_time": "2023-06-14T00:51:20.152508Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import pprint\n",
+    "import ast\n",
+    "import re\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
+    "stoich_series = complexation_rxn_df.loc[:,['id', 'stoichiometry']].dropna().reset_index(drop=True)\n",
+    "\n",
+    "stoich_list = []\n",
+    "for i, stoich in enumerate(stoich_series.loc[:, 'stoichiometry']):\n",
+    "\n",
+    "    stoich = stoich.replace('null', '-1')\n",
+    "\n",
+    "    stoich = ast.literal_eval(stoich)\n",
+    "    for k,v in stoich.items():\n",
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:27:24.284340Z",
+     "start_time": "2023-06-14T00:27:24.255231Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \n0                                1-PFK_RXN            None      None  \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None  \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None  \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None  \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None  \n...                                    ...             ...       ...  \n1096                        CPLX0-8053_RXN            None      None  \n1097                        CPLX0-8253_RXN            None      None  \n1098                          SRP-CPLX_RXN            None      None  \n1099                     CPLX0-7796APO_RXN            None      None  \n1100                         ARCB-CPLX_RXN            None      None  \n\n[1101 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors'])\n",
+    "pre_complex_df = pre_complex_df[pre_complex_df['stoichiometry'] > 0].reset_index(drop=True)\n",
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:27:24.393261Z",
+     "start_time": "2023-06-14T00:27:24.384037Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Connect to EcoCyc to go from Complex -> Cofactor + Metal sites"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:27:24.947856Z",
+     "start_time": "2023-06-14T00:27:24.702149Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPLX0-2423 404\n",
+      "CPLX0-3976 404\n",
+      "RECFOR-CPLX 404\n",
+      "CPLX0-7796APO 404\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(len(pre_complex_df.index)): #\n",
+    "\n",
+    "    complex = pre_complex_df.loc[i, 'complex']\n",
+    "\n",
+    "    req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=low'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    if r.status_code != 200:\n",
+    "        print(complex, r.status_code)\n",
+    "        continue\n",
+    "\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "\n",
+    "    if 'catalyzes' not in o:\n",
+    "        continue\n",
+    "    else:\n",
+    "        o = o['catalyzes']['Enzymatic-Reaction']\n",
+    "\n",
+    "    if type(o) is dict:\n",
+    "        o = [o]\n",
+    "\n",
+    "    for enzrxn in o:\n",
+    "        enz_id = enzrxn['@frameid']\n",
+    "\n",
+    "        enz_req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{enz_id}&detail=high'\n",
+    "\n",
+    "        re = s.get(enz_req_str)\n",
+    "        oe = xmltodict.parse(re.content)['ptools-xml']['Enzymatic-Reaction']\n",
+    "\n",
+    "        pre_complex_df.at[i, 'enzyme-reaction'] = enz_id\n",
+    "\n",
+    "        if \"cofactor\" in oe:\n",
+    "            # print(enz_id)\n",
+    "            oe = oe['cofactor']\n",
+    "\n",
+    "            if type(oe) is dict:\n",
+    "                oe = [oe]\n",
+    "\n",
+    "            cofactor_list = []\n",
+    "            for cofactor in oe:\n",
+    "                cof = cofactor['Compound']['@frameid']\n",
+    "                cofactor_list.append(cof)\n",
+    "                # print('\\t' + cof)\n",
+    "\n",
+    "            pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:30:16.728966Z",
+     "start_time": "2023-06-14T00:27:24.951037Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \n0                                               [MG+2]  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]  \n2                                         [MG+2, MN+2]  \n3                                              [CPD-7]  \n4                                               [MG+2]  \n...                                                ...  \n1096                                              None  \n1097                                              None  \n1098                                              None  \n1099                                              None  \n1100                                              None  \n\n[1101 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:33:26.092235Z",
+     "start_time": "2023-06-14T00:33:26.089956Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "pre_complex_df.to_csv('cofactors.csv', index=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:30:16.753298Z",
+     "start_time": "2023-06-14T00:30:16.746991Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Annotate table with counts"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df = pd.read_csv('notebooks/fbagd/cofactors.csv', sep=',').fillna('None')\n",
+    "complex_df.cofactors = complex_df.cofactors.apply(ast.literal_eval)\n",
+    "complex_df['counts'] = 0\n",
+    "\n",
+    "complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:28.339440Z",
+     "start_time": "2023-06-14T00:36:28.320620Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-06-13'\n",
+    "experiment = 'fba-redux'\n",
+    "entry = f'{experiment}_{time}_{date}'\n",
+    "folder = f'out/fbagd/{entry}/'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:28.924948Z",
+     "start_time": "2023-06-14T00:36:28.920224Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "outputs": [],
+   "source": [
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "# output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:29.971934Z",
+     "start_time": "2023-06-14T00:36:29.929670Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [],
+   "source": [
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:32.079905Z",
+     "start_time": "2023-06-14T00:36:30.429298Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "outputs": [],
+   "source": [
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "bulk_ids = metabolism.bulk_ids"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:33.092321Z",
+     "start_time": "2023-06-14T00:36:33.087330Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [],
+   "source": [
+    "bulk = pd.DataFrame(output['bulk'], columns=bulk_ids)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:33.836789Z",
+     "start_time": "2023-06-14T00:36:33.346590Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:36.678683Z",
+     "start_time": "2023-06-14T00:36:36.675655Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [],
+   "source": [
+    "for complex_name in complex_df['complex']:\n",
+    "    bulk_name = complex_name + '[c]'\n",
+    "\n",
+    "    if bulk_name in bulk_ids:\n",
+    "        complex_df.loc[complex_df['complex'] == complex_name, 'counts'] = bulk.at[24, bulk_name]\n",
+    "\n",
+    "    elif bulk_name not in bulk_ids:\n",
+    "        for cpd in list(bulk_ids):\n",
+    "            if complex_name in cpd and len(cpd) < len(complex_name) + 4:\n",
+    "                bulk_name = cpd\n",
+    "                complex_df.loc[complex_df['complex'] == complex_name, 'counts'] = bulk.at[24, bulk_name]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:44.842544Z",
+     "start_time": "2023-06-14T00:36:41.196542Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709      None   36915  \n390      None   19181  \n864      None   13436  \n487      None   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123      None       0  \n124      None       0  \n126      None       0  \n132      None       0  \n328      None       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>None</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>None</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>None</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df.sort_values(by='counts', ascending=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T00:36:44.849436Z",
+     "start_time": "2023-06-14T00:36:44.843038Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                        counts\ncofactors                     \nMG+2                     55738\nMN+2                     27211\nPYRIDOXAL_PHOSPHATE      24413\nZN+2                     12807\n23-DIPHOSPHOGLYCERATE    10058\nFAD                       8954\nK+                        5157\nCPD-7                     4556\nFE+2                      3256\nTHIAMINE-PYROPHOSPHATE    1868\nNI+2                      1375\nFMN                       1256\nHeme-b                    1025\nCU+2                       817\nHEME_O                     814\nNAD                        730\nCPD-6                      635\nHCO3                       426\nCO+2                       353\nNADP                       253\n3FE-4S                     212\nLIPOIC-ACID                180\nFE+3                       161\nCA+2                       155\nPROTOHEME                  139\nLYS                        116\nFMNH2                      110\nSIROHEME                    98\nFeS-Centers                 76\nAMMONIUM                    52\nCPD-23429                   46\nNADPH                       40\nCPD-15873                   40\nCPD-18260                   23\nCPD-8123                    17\nCPD0-1882                   15\nHEME_D                      13\nHEME_C                      13\nADENOSYLCOBALAMIN            9\nTOPAQUINONE                  3\nCPD0-2654                    0\nCPD-24862                    0\nCPD-17649                    0\nGTP                          0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cofactor_df = complex_df[['cofactors', 'counts']].explode('cofactors').groupby('cofactors').sum().sort_values(by='counts', ascending=False)\n",
+    "cofactor_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T01:04:07.589519Z",
+     "start_time": "2023-06-14T01:04:07.581678Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                        counts molecular_composition\ncofactors                                           \nMG+2                     55738                     0\nMN+2                     27211                     0\nPYRIDOXAL_PHOSPHATE      24413                     0\nZN+2                     12807                     0\n23-DIPHOSPHOGLYCERATE    10058                     0\nFAD                       8954                     0\nK+                        5157                     0\nCPD-7                     4556                     0\nFE+2                      3256                     0\nTHIAMINE-PYROPHOSPHATE    1868                     0\nNI+2                      1375                     0\nFMN                       1256                     0\nHeme-b                    1025                     0\nCU+2                       817                     0\nHEME_O                     814                     0\nNAD                        730                     0\nCPD-6                      635                     0\nHCO3                       426                     0\nCO+2                       353                     0\nNADP                       253                     0\n3FE-4S                     212                     0\nLIPOIC-ACID                180                     0\nFE+3                       161                     0\nCA+2                       155                     0\nPROTOHEME                  139                     0\nLYS                        116                     0\nFMNH2                      110                     0\nSIROHEME                    98                     0\nCPD-7                       76                     0\nAMMONIUM                    52                     0\nCPD-23429                   46                     0\nNADPH                       40                     0\nCPD-15873                   40                     0\nCPD-18260                   23                     0\nCPD-8123                    17                     0\nCPD0-1882                   15                     0\nHEME_D                      13                     0\nHEME_C                      13                     0\nADENOSYLCOBALAMIN            9                     0\nTOPAQUINONE                  3                     0\nCPD0-2654                    0                     0\nCPD-24862                    0                     0\nCPD-17649                    0                     0\nGTP                          0                     0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n      <th>molecular_composition</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>76</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# change name of index value FeS-Centers to CPD-7\n",
+    "\n",
+    "cofactor_df['molecular_composition'] = 0\n",
+    "cofactor_df['molecular_composition'] = cofactor_df['molecular_composition'].astype(object)\n",
+    "\n",
+    "cofactor_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T01:04:08.247670Z",
+     "start_time": "2023-06-14T01:04:08.243074Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MG+2\n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "Incompatible indexer with Series",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mValueError\u001B[0m                                Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3444974446.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     13\u001B[0m     \u001B[0mre_output\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m1\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     14\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 15\u001B[0;31m     \u001B[0mcofactor_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mat\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mcofactor_name\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'molecular_composition'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m   2281\u001B[0m                 \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Invalid call for scalar access (setting)!\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2282\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2283\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mkey\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2284\u001B[0m             \u001B[0;32mreturn\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2285\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m    721\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    722\u001B[0m         \u001B[0miloc\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m\"iloc\"\u001B[0m \u001B[0;32melse\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0miloc\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 723\u001B[0;31m         \u001B[0miloc\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    724\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    725\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_validate_key\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mkey\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0maxis\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1728\u001B[0m         \u001B[0;32mif\u001B[0m \u001B[0mtake_split_path\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1729\u001B[0m             \u001B[0;31m# We have to operate column-wise\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1730\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer_split_path\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1731\u001B[0m         \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1732\u001B[0m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_single_block\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer_split_path\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1749\u001B[0m             \u001B[0;32mfrom\u001B[0m \u001B[0mpandas\u001B[0m \u001B[0;32mimport\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1750\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1751\u001B[0;31m             \u001B[0mvalue\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_align_series\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mvalue\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1752\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1753\u001B[0m         \u001B[0;31m# Ensure we have something we can iterate over\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_align_series\u001B[0;34m(self, indexer, ser, multiindex_indexer)\u001B[0m\n\u001B[1;32m   2147\u001B[0m             \u001B[0;32mreturn\u001B[0m \u001B[0mser\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mreindex\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0max\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_values\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2148\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2149\u001B[0;31m         \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Incompatible indexer with Series\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2150\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2151\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_align_frame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdf\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mDataFrame\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mValueError\u001B[0m: Incompatible indexer with Series"
+     ]
+    }
+   ],
+   "source": [
+    "for cofactor_name in cofactor_df.index:\n",
+    "    mol = cofactor_name\n",
+    "    print(cofactor_name)\n",
+    "    mol = mol.replace('+', '%2b')\n",
+    "    mol_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{mol}&detail=low'\n",
+    "\n",
+    "    r = s.get(mol_str)\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']['Compound']['cml']['molecule']['formula']['@concise']\n",
+    "    #pp.pprint(o)\n",
+    "\n",
+    "    re_output = re.findall(r'[A-Z]+ \\d+', o)\n",
+    "    # split on space, convert number to int then make dict\n",
+    "    re_output = {i.split(' ')[0]: int(i.split(' ')[1]) for i in re_output}\n",
+    "\n",
+    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = re_output"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T01:04:09.511563Z",
+     "start_time": "2023-06-14T01:04:09.449429Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/notebooks/fbagd/comparison.ipynb b/notebooks/fbagd/old/comparison.ipynb
similarity index 100%
rename from notebooks/fbagd/comparison.ipynb
rename to notebooks/fbagd/old/comparison.ipynb
diff --git a/notebooks/fbagd/graph_work.ipynb b/notebooks/fbagd/old/graph_work.ipynb
similarity index 100%
rename from notebooks/fbagd/graph_work.ipynb
rename to notebooks/fbagd/old/graph_work.ipynb
diff --git a/notebooks/fbagd/test_environments.ipynb b/notebooks/fbagd/old/test_environments.ipynb
similarity index 100%
rename from notebooks/fbagd/test_environments.ipynb
rename to notebooks/fbagd/old/test_environments.ipynb
diff --git a/notebooks/fbagd/test_network_flow.ipynb b/notebooks/fbagd/old/test_network_flow.ipynb
similarity index 100%
rename from notebooks/fbagd/test_network_flow.ipynb
rename to notebooks/fbagd/old/test_network_flow.ipynb

From 2147b6d2ddbae675bd332795e2fefb8374ff4b49 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Wed, 14 Jun 2023 17:14:36 -0700
Subject: [PATCH 24/58] Investigating what fraction of iron goes to which
 enzymes.

---
 notebooks/fbagd/metal_binding.ipynb | 330 ++++++++++++++++++++++------
 1 file changed, 258 insertions(+), 72 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 4c7616b56..c76aa7b6d 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -246,14 +246,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 169,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 24,
+     "execution_count": 169,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -263,19 +263,22 @@
     "complex_df.cofactors = complex_df.cofactors.apply(ast.literal_eval)\n",
     "complex_df['counts'] = 0\n",
     "\n",
+    "# replace None with empty list\n",
+    "complex_df['cofactors'] = complex_df['cofactors'].apply(lambda x: [] if x is None else x)\n",
+    "\n",
     "complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:28.339440Z",
-     "start_time": "2023-06-14T00:36:28.320620Z"
+     "end_time": "2023-06-14T21:11:57.117402Z",
+     "start_time": "2023-06-14T21:11:57.103792Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 170,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -287,14 +290,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:28.924948Z",
-     "start_time": "2023-06-14T00:36:28.920224Z"
+     "end_time": "2023-06-14T21:12:16.631995Z",
+     "start_time": "2023-06-14T21:12:16.630454Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 171,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -306,14 +309,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:29.971934Z",
-     "start_time": "2023-06-14T00:36:29.929670Z"
+     "end_time": "2023-06-14T21:12:17.089573Z",
+     "start_time": "2023-06-14T21:12:17.010486Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 172,
    "outputs": [],
    "source": [
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
@@ -323,14 +326,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:32.079905Z",
-     "start_time": "2023-06-14T00:36:30.429298Z"
+     "end_time": "2023-06-14T21:12:17.951305Z",
+     "start_time": "2023-06-14T21:12:17.442672Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 173,
    "outputs": [],
    "source": [
     "metabolism = agent['ecoli-metabolism-redux']\n",
@@ -340,14 +343,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:33.092321Z",
-     "start_time": "2023-06-14T00:36:33.087330Z"
+     "end_time": "2023-06-14T21:12:17.956297Z",
+     "start_time": "2023-06-14T21:12:17.954605Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 174,
    "outputs": [],
    "source": [
     "bulk = pd.DataFrame(output['bulk'], columns=bulk_ids)"
@@ -355,21 +358,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:33.836789Z",
-     "start_time": "2023-06-14T00:36:33.346590Z"
+     "end_time": "2023-06-14T21:12:18.753896Z",
+     "start_time": "2023-06-14T21:12:18.172277Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 175,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                              None       0  \n1097                                              None       0  \n1098                                              None       0  \n1099                                              None       0  \n1100                                              None       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 31,
+     "execution_count": 175,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -380,14 +383,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:36.678683Z",
-     "start_time": "2023-06-14T00:36:36.675655Z"
+     "end_time": "2023-06-14T21:12:18.761011Z",
+     "start_time": "2023-06-14T21:12:18.758491Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 176,
    "outputs": [],
    "source": [
     "for complex_name in complex_df['complex']:\n",
@@ -405,21 +408,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:44.842544Z",
-     "start_time": "2023-06-14T00:36:41.196542Z"
+     "end_time": "2023-06-14T21:12:25.830761Z",
+     "start_time": "2023-06-14T21:12:22.273449Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 177,
    "outputs": [
     {
      "data": {
-      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709      None   36915  \n390      None   19181  \n864      None   13436  \n487      None   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123      None       0  \n124      None       0  \n126      None       0  \n132      None       0  \n328      None       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>None</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>None</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>None</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709        []   36915  \n390        []   19181  \n864        []   13436  \n487        []   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123        []       0  \n124        []       0  \n126        []       0  \n132        []       0  \n328        []       0  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>[]</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>[]</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>[]</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 33,
+     "execution_count": 177,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -430,21 +433,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:36:44.849436Z",
-     "start_time": "2023-06-14T00:36:44.843038Z"
+     "end_time": "2023-06-14T21:12:25.837788Z",
+     "start_time": "2023-06-14T21:12:25.831167Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 179,
    "outputs": [
     {
      "data": {
       "text/plain": "                        counts\ncofactors                     \nMG+2                     55738\nMN+2                     27211\nPYRIDOXAL_PHOSPHATE      24413\nZN+2                     12807\n23-DIPHOSPHOGLYCERATE    10058\nFAD                       8954\nK+                        5157\nCPD-7                     4556\nFE+2                      3256\nTHIAMINE-PYROPHOSPHATE    1868\nNI+2                      1375\nFMN                       1256\nHeme-b                    1025\nCU+2                       817\nHEME_O                     814\nNAD                        730\nCPD-6                      635\nHCO3                       426\nCO+2                       353\nNADP                       253\n3FE-4S                     212\nLIPOIC-ACID                180\nFE+3                       161\nCA+2                       155\nPROTOHEME                  139\nLYS                        116\nFMNH2                      110\nSIROHEME                    98\nFeS-Centers                 76\nAMMONIUM                    52\nCPD-23429                   46\nNADPH                       40\nCPD-15873                   40\nCPD-18260                   23\nCPD-8123                    17\nCPD0-1882                   15\nHEME_D                      13\nHEME_C                      13\nADENOSYLCOBALAMIN            9\nTOPAQUINONE                  3\nCPD0-2654                    0\nCPD-24862                    0\nCPD-17649                    0\nGTP                          0",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 94,
+     "execution_count": 179,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -456,21 +459,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T01:04:07.589519Z",
-     "start_time": "2023-06-14T01:04:07.581678Z"
+     "end_time": "2023-06-14T21:12:43.875673Z",
+     "start_time": "2023-06-14T21:12:43.867800Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 180,
    "outputs": [
     {
      "data": {
-      "text/plain": "                        counts molecular_composition\ncofactors                                           \nMG+2                     55738                     0\nMN+2                     27211                     0\nPYRIDOXAL_PHOSPHATE      24413                     0\nZN+2                     12807                     0\n23-DIPHOSPHOGLYCERATE    10058                     0\nFAD                       8954                     0\nK+                        5157                     0\nCPD-7                     4556                     0\nFE+2                      3256                     0\nTHIAMINE-PYROPHOSPHATE    1868                     0\nNI+2                      1375                     0\nFMN                       1256                     0\nHeme-b                    1025                     0\nCU+2                       817                     0\nHEME_O                     814                     0\nNAD                        730                     0\nCPD-6                      635                     0\nHCO3                       426                     0\nCO+2                       353                     0\nNADP                       253                     0\n3FE-4S                     212                     0\nLIPOIC-ACID                180                     0\nFE+3                       161                     0\nCA+2                       155                     0\nPROTOHEME                  139                     0\nLYS                        116                     0\nFMNH2                      110                     0\nSIROHEME                    98                     0\nCPD-7                       76                     0\nAMMONIUM                    52                     0\nCPD-23429                   46                     0\nNADPH                       40                     0\nCPD-15873                   40                     0\nCPD-18260                   23                     0\nCPD-8123                    17                     0\nCPD0-1882                   15                     0\nHEME_D                      13                     0\nHEME_C                      13                     0\nADENOSYLCOBALAMIN            9                     0\nTOPAQUINONE                  3                     0\nCPD0-2654                    0                     0\nCPD-24862                    0                     0\nCPD-17649                    0                     0\nGTP                          0                     0",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n      <th>molecular_composition</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>76</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        counts molecular_composition\ncofactors                                           \nMG+2                     55738                     0\nMN+2                     27211                     0\nPYRIDOXAL_PHOSPHATE      24413                     0\nZN+2                     12807                     0\n23-DIPHOSPHOGLYCERATE    10058                     0\nFAD                       8954                     0\nK+                        5157                     0\nCPD-7                     4556                     0\nFE+2                      3256                     0\nTHIAMINE-PYROPHOSPHATE    1868                     0\nNI+2                      1375                     0\nFMN                       1256                     0\nHeme-b                    1025                     0\nCU+2                       817                     0\nHEME_O                     814                     0\nNAD                        730                     0\nCPD-6                      635                     0\nHCO3                       426                     0\nCO+2                       353                     0\nNADP                       253                     0\n3FE-4S                     212                     0\nLIPOIC-ACID                180                     0\nFE+3                       161                     0\nCA+2                       155                     0\nPROTOHEME                  139                     0\nLYS                        116                     0\nFMNH2                      110                     0\nSIROHEME                    98                     0\nFeS-Centers                 76                     0\nAMMONIUM                    52                     0\nCPD-23429                   46                     0\nNADPH                       40                     0\nCPD-15873                   40                     0\nCPD-18260                   23                     0\nCPD-8123                    17                     0\nCPD0-1882                   15                     0\nHEME_D                      13                     0\nHEME_C                      13                     0\nADENOSYLCOBALAMIN            9                     0\nTOPAQUINONE                  3                     0\nCPD0-2654                    0                     0\nCPD-24862                    0                     0\nCPD-17649                    0                     0\nGTP                          0                     0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n      <th>molecular_composition</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 95,
+     "execution_count": 180,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -486,61 +489,244 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T01:04:08.247670Z",
-     "start_time": "2023-06-14T01:04:08.243074Z"
+     "end_time": "2023-06-14T21:12:45.786557Z",
+     "start_time": "2023-06-14T21:12:45.782639Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 181,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "MG+2\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Incompatible indexer with Series",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mValueError\u001B[0m                                Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3444974446.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     13\u001B[0m     \u001B[0mre_output\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msplit\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m' '\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m1\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     14\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 15\u001B[0;31m     \u001B[0mcofactor_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mat\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mcofactor_name\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'molecular_composition'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mre_output\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m   2281\u001B[0m                 \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Invalid call for scalar access (setting)!\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2282\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2283\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mkey\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2284\u001B[0m             \u001B[0;32mreturn\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2285\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m__setitem__\u001B[0;34m(self, key, value)\u001B[0m\n\u001B[1;32m    721\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    722\u001B[0m         \u001B[0miloc\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m\"iloc\"\u001B[0m \u001B[0;32melse\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0miloc\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 723\u001B[0;31m         \u001B[0miloc\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    724\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    725\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_validate_key\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mkey\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0maxis\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1728\u001B[0m         \u001B[0;32mif\u001B[0m \u001B[0mtake_split_path\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1729\u001B[0m             \u001B[0;31m# We have to operate column-wise\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1730\u001B[0;31m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_with_indexer_split_path\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1731\u001B[0m         \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1732\u001B[0m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setitem_single_block\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_setitem_with_indexer_split_path\u001B[0;34m(self, indexer, value, name)\u001B[0m\n\u001B[1;32m   1749\u001B[0m             \u001B[0;32mfrom\u001B[0m \u001B[0mpandas\u001B[0m \u001B[0;32mimport\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1750\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1751\u001B[0;31m             \u001B[0mvalue\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_align_series\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mSeries\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mvalue\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   1752\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1753\u001B[0m         \u001B[0;31m# Ensure we have something we can iterate over\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;32m~/.pyenv/versions/3.9.9/envs/viv/lib/python3.9/site-packages/pandas/core/indexing.py\u001B[0m in \u001B[0;36m_align_series\u001B[0;34m(self, indexer, ser, multiindex_indexer)\u001B[0m\n\u001B[1;32m   2147\u001B[0m             \u001B[0;32mreturn\u001B[0m \u001B[0mser\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mreindex\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0max\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_values\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2148\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2149\u001B[0;31m         \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Incompatible indexer with Series\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2150\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2151\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0m_align_frame\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mindexer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdf\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mDataFrame\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mValueError\u001B[0m: Incompatible indexer with Series"
+      "No cml for FeS-Centers\n",
+      "No cml for CPD-17649\n"
      ]
     }
    ],
    "source": [
     "for cofactor_name in cofactor_df.index:\n",
     "    mol = cofactor_name\n",
-    "    print(cofactor_name)\n",
     "    mol = mol.replace('+', '%2b')\n",
     "    mol_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{mol}&detail=low'\n",
     "\n",
     "    r = s.get(mol_str)\n",
-    "    o = xmltodict.parse(r.content)['ptools-xml']['Compound']['cml']['molecule']['formula']['@concise']\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']['Compound']\n",
+    "\n",
+    "    if 'cml' not in o:\n",
+    "        print(f'No cml for {cofactor_name}')\n",
+    "        cofactor_df.at[cofactor_name, 'molecular_composition'] = {}\n",
+    "        continue\n",
+    "    else:\n",
+    "        atom_array = o['cml']['molecule']['atomArray']['atom']\n",
     "    #pp.pprint(o)\n",
     "\n",
-    "    re_output = re.findall(r'[A-Z]+ \\d+', o)\n",
-    "    # split on space, convert number to int then make dict\n",
-    "    re_output = {i.split(' ')[0]: int(i.split(' ')[1]) for i in re_output}\n",
+    "    if type(atom_array) is dict:\n",
+    "        atom_array = [atom_array]\n",
+    "\n",
+    "    element_dict = {}\n",
+    "    # go through entries of atom array and add 1 to key of element_dict\n",
+    "    for atom in atom_array:\n",
+    "        element = atom['@elementType']\n",
+    "        if element in element_dict:\n",
+    "            element_dict[element] += 1\n",
+    "        else:\n",
+    "            element_dict[element] = 1\n",
     "\n",
-    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = re_output"
+    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = element_dict"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:12:56.625228Z",
+     "start_time": "2023-06-14T21:12:54.239650Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "outputs": [],
+   "source": [
+    "for cofactor_name in ['FeS-Centers', 'CPD-17649']:\n",
+    "    cofactor_df.at[cofactor_name, 'molecular_composition'] = {'FE': 4, 'S': 4}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:12:58.850805Z",
+     "start_time": "2023-06-14T21:12:58.848417Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                         MG   MN     C     N     O    P   ZN    K   FE    S  \\\ncofactors                                                                     \nMG+2                    1.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nMN+2                    0.0  1.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPYRIDOXAL_PHOSPHATE     0.0  0.0   8.0   1.0   6.0  1.0  0.0  0.0  0.0  0.0   \nZN+2                    0.0  0.0   0.0   0.0   0.0  0.0  1.0  0.0  0.0  0.0   \n23-DIPHOSPHOGLYCERATE   0.0  0.0   3.0   0.0  10.0  2.0  0.0  0.0  0.0  0.0   \nFAD                     0.0  0.0  27.0   9.0  15.0  2.0  0.0  0.0  0.0  0.0   \nK+                      0.0  0.0   0.0   0.0   0.0  0.0  0.0  1.0  0.0  0.0   \nCPD-7                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nFE+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  12.0   4.0   7.0  2.0  0.0  0.0  0.0  1.0   \nNI+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nFMN                     0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nHeme-b                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nCU+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nHEME_O                  0.0  0.0  49.0   4.0   5.0  0.0  0.0  0.0  1.0  0.0   \nNAD                     0.0  0.0  21.0   7.0  14.0  2.0  0.0  0.0  0.0  0.0   \nCPD-6                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  2.0  6.0   \nHCO3                    0.0  0.0   1.0   0.0   3.0  0.0  0.0  0.0  0.0  0.0   \nCO+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nNADP                    0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \n3FE-4S                  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  3.0  4.0   \nLIPOIC-ACID             0.0  0.0   8.0   0.0   2.0  0.0  0.0  0.0  0.0  2.0   \nFE+3                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nCA+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPROTOHEME               0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nLYS                     0.0  0.0   6.0   2.0   2.0  0.0  0.0  0.0  0.0  0.0   \nFMNH2                   0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nSIROHEME                0.0  0.0  42.0   4.0  16.0  0.0  0.0  0.0  1.0  0.0   \nFeS-Centers             0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nAMMONIUM                0.0  0.0   0.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \nCPD-23429               0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nNADPH                   0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \nCPD-15873               0.0  0.0  40.0  20.0  27.0  4.0  0.0  0.0  0.0  4.0   \nCPD-18260               0.0  0.0  22.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nCPD-8123                0.0  0.0  10.0   5.0   8.0  1.0  0.0  0.0  0.0  2.0   \nCPD0-1882               0.0  0.0  19.0   8.0  15.0  2.0  0.0  0.0  0.0  2.0   \nHEME_D                  0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nHEME_C                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  2.0   \nADENOSYLCOBALAMIN       0.0  0.0  72.0  18.0  17.0  1.0  0.0  0.0  0.0  0.0   \nTOPAQUINONE             0.0  0.0   9.0   1.0   4.0  0.0  0.0  0.0  0.0  0.0   \nCPD0-2654               0.0  0.0   3.0   0.0   2.0  0.0  0.0  0.0  0.0  0.0   \nCPD-24862               0.0  0.0   3.0   2.0   1.0  0.0  0.0  0.0  1.0  4.0   \nCPD-17649               0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nGTP                     0.0  0.0  10.0   5.0  14.0  3.0  0.0  0.0  0.0  0.0   \n\n                         NI   CU    R   CO   CA    H   MO  Proteins  \ncofactors                                                            \nMG+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nMN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nPYRIDOXAL_PHOSPHATE     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nZN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n23-DIPHOSPHOGLYCERATE   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nK+                      0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-7                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNI+2                    1.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMN                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHeme-b                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCU+2                    0.0  1.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_O                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-6                   0.0  0.0  4.0  0.0  0.0  0.0  0.0       0.0  \nHCO3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCO+2                    0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nNADP                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n3FE-4S                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLIPOIC-ACID             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCA+2                    0.0  0.0  0.0  0.0  1.0  0.0  0.0       0.0  \nPROTOHEME               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLYS                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMNH2                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nSIROHEME                0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFeS-Centers             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nAMMONIUM                0.0  0.0  0.0  0.0  0.0  4.0  0.0       0.0  \nCPD-23429               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNADPH                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-15873               0.0  0.0  0.0  0.0  0.0  6.0  1.0       0.0  \nCPD-18260               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-8123                0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nCPD0-1882               0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nHEME_D                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_C                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nADENOSYLCOBALAMIN       0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nTOPAQUINONE             0.0  0.0  0.0  0.0  0.0  0.0  0.0       2.0  \nCPD0-2654               0.0  0.0  0.0  0.0  0.0  0.0  0.0       1.0  \nCPD-24862               1.0  0.0  0.0  0.0  0.0  0.0  0.0       4.0  \nCPD-17649               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nGTP                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>MG</th>\n      <th>MN</th>\n      <th>C</th>\n      <th>N</th>\n      <th>O</th>\n      <th>P</th>\n      <th>ZN</th>\n      <th>K</th>\n      <th>FE</th>\n      <th>S</th>\n      <th>NI</th>\n      <th>CU</th>\n      <th>R</th>\n      <th>CO</th>\n      <th>CA</th>\n      <th>H</th>\n      <th>MO</th>\n      <th>Proteins</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>27.0</td>\n      <td>9.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>7.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>49.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>14.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>4.0</td>\n      <td>16.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>40.0</td>\n      <td>20.0</td>\n      <td>27.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>22.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>19.0</td>\n      <td>8.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>72.0</td>\n      <td>18.0</td>\n      <td>17.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>14.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 183,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "element_matrix = cofactor_df['molecular_composition'].apply(pd.Series).fillna(0)\n",
+    "element_matrix"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:12:59.340568Z",
+     "start_time": "2023-06-14T21:12:59.273206Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "outputs": [],
+   "source": [
+    "metals = ['MG', 'MN', 'ZN', 'FE', 'NI', 'CU', 'CO', 'CA', 'MO']\n",
+    "metal_distribution = pd.DataFrame(index=element_matrix.index, columns=metals).fillna(0)\n",
+    "for element in metals:\n",
+    "    metal_distribution.loc[:, element] = cofactor_df['counts'] * element_matrix.loc[:, element]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:13:01.747717Z",
+     "start_time": "2023-06-14T21:13:01.743268Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "cofactors\nCPD-7                     18224.0\nFE+2                       3256.0\nCPD-6                      1270.0\nHeme-b                     1025.0\nHEME_O                      814.0\n3FE-4S                      636.0\nFeS-Centers                 304.0\nFE+3                        161.0\nPROTOHEME                   139.0\nSIROHEME                     98.0\nCPD-23429                    46.0\nHEME_D                       13.0\nHEME_C                       13.0\nNADPH                         0.0\nCPD-17649                     0.0\nAMMONIUM                      0.0\nCPD-24862                     0.0\nADENOSYLCOBALAMIN             0.0\nCPD-15873                     0.0\nCPD-18260                     0.0\nTOPAQUINONE                   0.0\nCPD-8123                      0.0\nFMNH2                         0.0\nCPD0-1882                     0.0\nCPD0-2654                     0.0\nMG+2                          0.0\nLYS                           0.0\nCA+2                          0.0\nPYRIDOXAL_PHOSPHATE           0.0\nZN+2                          0.0\n23-DIPHOSPHOGLYCERATE         0.0\nFAD                           0.0\nK+                            0.0\nTHIAMINE-PYROPHOSPHATE        0.0\nNI+2                          0.0\nFMN                           0.0\nCU+2                          0.0\nNAD                           0.0\nHCO3                          0.0\nCO+2                          0.0\nNADP                          0.0\nLIPOIC-ACID                   0.0\nMN+2                          0.0\nGTP                           0.0\nName: FE, dtype: float64"
+     },
+     "execution_count": 185,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metal_distribution.sort_values(by='FE', ascending=False)['FE']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:13:02.119465Z",
+     "start_time": "2023-06-14T21:13:02.115059Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Chain iron content back to enzymes"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]      31  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]      86  \n2                                         [MG+2, MN+2]    1065  \n3                                              [CPD-7]    2631  \n4                                               [MG+2]     174  \n...                                                ...     ...  \n1096                                                []     208  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []      50  \n1100                                                []       1  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>31</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>86</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>1065</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>2631</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>174</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>208</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>50</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complex_df.loc[:]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:13:05.545868Z",
+     "start_time": "2023-06-14T21:13:05.541941Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                     complex    cofactors  counts  fe_counts  fe_counts_norm\n7    3-ISOPROPYLMALISOM-CPLX        CPD-7    2631    10524.0       40.478480\n31                 ADHE-CPLX         FE+2      93       93.0        0.357706\n43     ANGLYC3PDEHYDROG-CPLX  FeS-Centers      69      276.0        1.061579\n48            APP-UBIOX-CPLX       HEME_D      13       13.0        0.050002\n49            APP-UBIOX-CPLX       Heme-b      13       13.0        0.050002\n..                       ...          ...     ...        ...             ...\n415      SULFITE-REDUCT-CPLX        CPD-7      93      372.0        1.430824\n418      SULFITE-REDUCT-CPLX     SIROHEME      93       93.0        0.357706\n419    SUPEROX-DISMUTFE-CPLX         FE+3     161      161.0        0.619255\n424          THREODEHYD-CPLX         FE+2      33       33.0        0.126928\n429         TMAOREDUCTI-CPLX       HEME_C       3        3.0        0.011539\n\n[65 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>counts</th>\n      <th>fe_counts</th>\n      <th>fe_counts_norm</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>7</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>CPD-7</td>\n      <td>2631</td>\n      <td>10524.0</td>\n      <td>40.478480</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>ADHE-CPLX</td>\n      <td>FE+2</td>\n      <td>93</td>\n      <td>93.0</td>\n      <td>0.357706</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td>ANGLYC3PDEHYDROG-CPLX</td>\n      <td>FeS-Centers</td>\n      <td>69</td>\n      <td>276.0</td>\n      <td>1.061579</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>APP-UBIOX-CPLX</td>\n      <td>HEME_D</td>\n      <td>13</td>\n      <td>13.0</td>\n      <td>0.050002</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>APP-UBIOX-CPLX</td>\n      <td>Heme-b</td>\n      <td>13</td>\n      <td>13.0</td>\n      <td>0.050002</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>415</th>\n      <td>SULFITE-REDUCT-CPLX</td>\n      <td>CPD-7</td>\n      <td>93</td>\n      <td>372.0</td>\n      <td>1.430824</td>\n    </tr>\n    <tr>\n      <th>418</th>\n      <td>SULFITE-REDUCT-CPLX</td>\n      <td>SIROHEME</td>\n      <td>93</td>\n      <td>93.0</td>\n      <td>0.357706</td>\n    </tr>\n    <tr>\n      <th>419</th>\n      <td>SUPEROX-DISMUTFE-CPLX</td>\n      <td>FE+3</td>\n      <td>161</td>\n      <td>161.0</td>\n      <td>0.619255</td>\n    </tr>\n    <tr>\n      <th>424</th>\n      <td>THREODEHYD-CPLX</td>\n      <td>FE+2</td>\n      <td>33</td>\n      <td>33.0</td>\n      <td>0.126928</td>\n    </tr>\n    <tr>\n      <th>429</th>\n      <td>TMAOREDUCTI-CPLX</td>\n      <td>HEME_C</td>\n      <td>3</td>\n      <td>3.0</td>\n      <td>0.011539</td>\n    </tr>\n  </tbody>\n</table>\n<p>65 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 223,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# filter cofactors in element matrix that have FE coefficient > 0\n",
+    "fe_cofactors = list(element_matrix[element_matrix['FE'] > 0].index)\n",
+    "\n",
+    "# filter complex_df to only include complexes where one of the cofactors is in fe_cofactors\n",
+    "exploded_complexes = complex_df.explode('cofactors').dropna().reset_index(drop=True)\n",
+    "fe_complexes = exploded_complexes.loc[exploded_complexes.cofactors.isin(fe_cofactors), ['complex', 'cofactors', 'counts']]\n",
+    "fe_complexes\n",
+    "\n",
+    "# add column that multiplies counts by number of FE atoms in cofactor based on element matrix\n",
+    "fe_complexes['fe_counts'] = 0\n",
+    "for cofactor in fe_cofactors:\n",
+    "    fe_complexes.loc[fe_complexes['cofactors'] == cofactor, 'fe_counts'] = fe_complexes.loc[fe_complexes['cofactors'] == cofactor, 'counts'] * element_matrix.loc[cofactor, 'FE']\n",
+    "\n",
+    "# add a column that divides the fe_counts by the total sum of fe_counts\n",
+    "fe_complexes['fe_counts_norm'] = 100 * fe_complexes['fe_counts'] / fe_complexes['fe_counts'].sum()\n",
+    "\n",
+    "fe_complexes"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-14T21:37:22.090616Z",
+     "start_time": "2023-06-14T21:37:22.071682Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                         MG   MN     C     N     O    P   ZN    K   FE    S  \\\ncofactors                                                                     \nMG+2                    1.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nMN+2                    0.0  1.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPYRIDOXAL_PHOSPHATE     0.0  0.0   8.0   1.0   6.0  1.0  0.0  0.0  0.0  0.0   \nZN+2                    0.0  0.0   0.0   0.0   0.0  0.0  1.0  0.0  0.0  0.0   \n23-DIPHOSPHOGLYCERATE   0.0  0.0   3.0   0.0  10.0  2.0  0.0  0.0  0.0  0.0   \nFAD                     0.0  0.0  27.0   9.0  15.0  2.0  0.0  0.0  0.0  0.0   \nK+                      0.0  0.0   0.0   0.0   0.0  0.0  0.0  1.0  0.0  0.0   \nCPD-7                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nFE+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  12.0   4.0   7.0  2.0  0.0  0.0  0.0  1.0   \nNI+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nFMN                     0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nHeme-b                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nCU+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nHEME_O                  0.0  0.0  49.0   4.0   5.0  0.0  0.0  0.0  1.0  0.0   \nNAD                     0.0  0.0  21.0   7.0  14.0  2.0  0.0  0.0  0.0  0.0   \nCPD-6                   0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  2.0  6.0   \nHCO3                    0.0  0.0   1.0   0.0   3.0  0.0  0.0  0.0  0.0  0.0   \nCO+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nNADP                    0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \n3FE-4S                  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  3.0  4.0   \nLIPOIC-ACID             0.0  0.0   8.0   0.0   2.0  0.0  0.0  0.0  0.0  2.0   \nFE+3                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  1.0  0.0   \nCA+2                    0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \nPROTOHEME               0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  0.0   \nLYS                     0.0  0.0   6.0   2.0   2.0  0.0  0.0  0.0  0.0  0.0   \nFMNH2                   0.0  0.0  17.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nSIROHEME                0.0  0.0  42.0   4.0  16.0  0.0  0.0  0.0  1.0  0.0   \nFeS-Centers             0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nAMMONIUM                0.0  0.0   0.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \nCPD-23429               0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nNADPH                   0.0  0.0  21.0   7.0  17.0  3.0  0.0  0.0  0.0  0.0   \nCPD-15873               0.0  0.0  40.0  20.0  27.0  4.0  0.0  0.0  0.0  4.0   \nCPD-18260               0.0  0.0  22.0   4.0   9.0  1.0  0.0  0.0  0.0  0.0   \nCPD-8123                0.0  0.0  10.0   5.0   8.0  1.0  0.0  0.0  0.0  2.0   \nCPD0-1882               0.0  0.0  19.0   8.0  15.0  2.0  0.0  0.0  0.0  2.0   \nHEME_D                  0.0  0.0  34.0   4.0   6.0  0.0  0.0  0.0  1.0  0.0   \nHEME_C                  0.0  0.0  34.0   4.0   4.0  0.0  0.0  0.0  1.0  2.0   \nADENOSYLCOBALAMIN       0.0  0.0  72.0  18.0  17.0  1.0  0.0  0.0  0.0  0.0   \nTOPAQUINONE             0.0  0.0   9.0   1.0   4.0  0.0  0.0  0.0  0.0  0.0   \nCPD0-2654               0.0  0.0   3.0   0.0   2.0  0.0  0.0  0.0  0.0  0.0   \nCPD-24862               0.0  0.0   3.0   2.0   1.0  0.0  0.0  0.0  1.0  4.0   \nCPD-17649               0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  4.0  4.0   \nGTP                     0.0  0.0  10.0   5.0  14.0  3.0  0.0  0.0  0.0  0.0   \n\n                         NI   CU    R   CO   CA    H   MO  Proteins  \ncofactors                                                            \nMG+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nMN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nPYRIDOXAL_PHOSPHATE     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nZN+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n23-DIPHOSPHOGLYCERATE   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nK+                      0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-7                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+2                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nTHIAMINE-PYROPHOSPHATE  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNI+2                    1.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMN                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHeme-b                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCU+2                    0.0  1.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_O                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNAD                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-6                   0.0  0.0  4.0  0.0  0.0  0.0  0.0       0.0  \nHCO3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCO+2                    0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nNADP                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \n3FE-4S                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLIPOIC-ACID             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFE+3                    0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCA+2                    0.0  0.0  0.0  0.0  1.0  0.0  0.0       0.0  \nPROTOHEME               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nLYS                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFMNH2                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nSIROHEME                0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nFeS-Centers             0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nAMMONIUM                0.0  0.0  0.0  0.0  0.0  4.0  0.0       0.0  \nCPD-23429               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nNADPH                   0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-15873               0.0  0.0  0.0  0.0  0.0  6.0  1.0       0.0  \nCPD-18260               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nCPD-8123                0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nCPD0-1882               0.0  0.0  0.0  0.0  0.0  3.0  1.0       0.0  \nHEME_D                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nHEME_C                  0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nADENOSYLCOBALAMIN       0.0  0.0  0.0  1.0  0.0  0.0  0.0       0.0  \nTOPAQUINONE             0.0  0.0  0.0  0.0  0.0  0.0  0.0       2.0  \nCPD0-2654               0.0  0.0  0.0  0.0  0.0  0.0  0.0       1.0  \nCPD-24862               1.0  0.0  0.0  0.0  0.0  0.0  0.0       4.0  \nCPD-17649               0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  \nGTP                     0.0  0.0  0.0  0.0  0.0  0.0  0.0       0.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>MG</th>\n      <th>MN</th>\n      <th>C</th>\n      <th>N</th>\n      <th>O</th>\n      <th>P</th>\n      <th>ZN</th>\n      <th>K</th>\n      <th>FE</th>\n      <th>S</th>\n      <th>NI</th>\n      <th>CU</th>\n      <th>R</th>\n      <th>CO</th>\n      <th>CA</th>\n      <th>H</th>\n      <th>MO</th>\n      <th>Proteins</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>27.0</td>\n      <td>9.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>7.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>49.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>14.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>17.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>4.0</td>\n      <td>16.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>21.0</td>\n      <td>7.0</td>\n      <td>17.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>40.0</td>\n      <td>20.0</td>\n      <td>27.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>22.0</td>\n      <td>4.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>8.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>19.0</td>\n      <td>8.0</td>\n      <td>15.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>72.0</td>\n      <td>18.0</td>\n      <td>17.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>5.0</td>\n      <td>14.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 219,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "element_matrix"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T01:04:09.511563Z",
-     "start_time": "2023-06-14T01:04:09.449429Z"
+     "end_time": "2023-06-14T21:35:45.816464Z",
+     "start_time": "2023-06-14T21:35:45.813292Z"
     }
    }
   },

From 81f07abd71722a4a79d8f1b0e37e695a0f469126 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Fri, 16 Jun 2023 12:01:46 -0700
Subject: [PATCH 25/58] Almost finished protein feature metals.

---
 notebooks/fbagd/metal_binding.ipynb | 1400 ++++++++++++++++++++++++++-
 1 file changed, 1352 insertions(+), 48 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index c76aa7b6d..7744f23dc 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 414,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:51:20.160597Z",
-     "start_time": "2023-06-14T00:51:20.152508Z"
+     "end_time": "2023-06-16T17:31:33.299324Z",
+     "start_time": "2023-06-16T17:31:33.261196Z"
     }
    },
    "outputs": [],
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 415,
    "outputs": [],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
@@ -45,40 +45,40 @@
     "\n",
     "    stoich = ast.literal_eval(stoich)\n",
     "    for k,v in stoich.items():\n",
-    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None])"
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None, None])"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:27:24.284340Z",
-     "start_time": "2023-06-14T00:27:24.255231Z"
+     "end_time": "2023-06-16T17:31:33.540791Z",
+     "start_time": "2023-06-16T17:31:33.506172Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 416,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \n0                                1-PFK_RXN            None      None  \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None  \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None  \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None  \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None  \n...                                    ...             ...       ...  \n1096                        CPLX0-8053_RXN            None      None  \n1097                        CPLX0-8253_RXN            None      None  \n1098                          SRP-CPLX_RXN            None      None  \n1099                     CPLX0-7796APO_RXN            None      None  \n1100                         ARCB-CPLX_RXN            None      None  \n\n[1101 rows x 5 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal-binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal-binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 3,
+     "execution_count": 416,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors'])\n",
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors', 'metal_binding'])\n",
     "pre_complex_df = pre_complex_df[pre_complex_df['stoichiometry'] > 0].reset_index(drop=True)\n",
     "pre_complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:27:24.393261Z",
-     "start_time": "2023-06-14T00:27:24.384037Z"
+     "end_time": "2023-06-16T17:31:33.716Z",
+     "start_time": "2023-06-16T17:31:33.704851Z"
     }
    }
   },
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 417,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 4,
+     "execution_count": 417,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,14 +112,1115 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:27:24.947856Z",
-     "start_time": "2023-06-14T00:27:24.702149Z"
+     "end_time": "2023-06-16T17:31:34.839691Z",
+     "start_time": "2023-06-16T17:31:34.552814Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 418,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'@ID': 'ECOLI:EG12132-MONOMER',\n",
+      " '@detail': 'full',\n",
+      " '@frameid': 'EG12132-MONOMER',\n",
+      " '@orgid': 'ECOLI',\n",
+      " 'common-name': {'#text': 'iron-sulfur cluster insertion protein IscA',\n",
+      "                 '@datatype': 'string'},\n",
+      " 'component-of': {'Protein': {'@frameid': 'CPLX0-7908',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:CPLX0-7908'}},\n",
+      " 'dblink': [{'dblink-URL': 'https://alphafold.ebi.ac.uk/entry/P0AAC8',\n",
+      "             'dblink-db': 'ALPHAFOLD',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR035903',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR035903',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'https://www.ebi.ac.uk/interpro/entry/pfam/PF01521',\n",
+      "             'dblink-db': 'PFAM',\n",
+      "             'dblink-oid': 'PF01521',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'https://swissmodel.expasy.org/repository/uniprot/P0AAC8',\n",
+      "             'dblink-db': 'SMR',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://dip.doe-mbi.ucla.edu/dip/Browse.cgi?ID=DIP-35854N',\n",
+      "             'dblink-db': 'DIP',\n",
+      "             'dblink-oid': 'DIP-35854N',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR011302',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR011302',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR017870',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR017870',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR016092',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR016092',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR000361',\n",
+      "             'dblink-db': 'INTERPRO',\n",
+      "             'dblink-oid': 'IPR000361',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://prosite.expasy.org/cgi-bin/prosite/nicedoc.pl?PS01152',\n",
+      "             'dblink-db': 'PROSITE',\n",
+      "             'dblink-oid': 'PS01152',\n",
+      "             'dblink-relationship': 'IN-FAMILY'},\n",
+      "            {'dblink-URL': 'http://www.ebi.ac.uk/pride/searchSummary.do?queryTypeSelected=identification%20accession%20number&identificationAccessionNumber=P0AAC8',\n",
+      "             'dblink-db': 'PRIDE',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R94',\n",
+      "             'dblink-db': 'PDB',\n",
+      "             'dblink-oid': '1R94',\n",
+      "             'dblink-relationship': 'Structure'},\n",
+      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R95',\n",
+      "             'dblink-db': 'PDB',\n",
+      "             'dblink-oid': '1R95',\n",
+      "             'dblink-relationship': 'Structure'},\n",
+      "            {'dblink-URL': 'http://www.rcsb.org/structure/1S98',\n",
+      "             'dblink-db': 'PDB',\n",
+      "             'dblink-oid': '1S98',\n",
+      "             'dblink-relationship': 'Structure'},\n",
+      "            {'dblink-URL': 'http://pir.georgetown.edu/cgi-bin/pro/entry_pro?id=PRO_000023031',\n",
+      "             'dblink-db': 'PRODB',\n",
+      "             'dblink-oid': 'PRO_000023031',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://ecoliwiki.org/colipedia/index.php/b2528',\n",
+      "             'dblink-db': 'ECOLIWIKI',\n",
+      "             'dblink-oid': 'b2528',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://modbase.compbio.ucsf.edu/modbase-cgi/model_search.cgi?searchkw=name&kword=P0AAC8',\n",
+      "             'dblink-db': 'MODBASE',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'https://www.uniprot.org/uniprot/P0AAC8',\n",
+      "             'dblink-db': 'UNIPROT',\n",
+      "             'dblink-oid': 'P0AAC8',\n",
+      "             'dblink-relationship': 'unification'},\n",
+      "            {'dblink-URL': 'http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?val=NP_417023',\n",
+      "             'dblink-db': 'REFSEQ',\n",
+      "             'dblink-oid': 'NP_417023',\n",
+      "             'dblink-relationship': 'unification'}],\n",
+      " 'gene': {'Gene': {'@frameid': 'EG12132',\n",
+      "                   '@orgid': 'ECOLI',\n",
+      "                   '@resource': 'getxml?ECOLI:EG12132'}},\n",
+      " 'has-feature': [{'Feature': {'@ID': 'ECOLI:FTR0-1606180',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1606180',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'accession-1': {'#text': 'PF01521.23',\n",
+      "                                              '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
+      "                                                             '@class': 'true',\n",
+      "                                                             '@detail': 'full',\n",
+      "                                                             '@frameid': 'EV-COMP-AINF',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'computationally '\n",
+      "                                                                                      'without '\n",
+      "                                                                                      'human '\n",
+      "                                                                                      'oversight',\n",
+      "                                                                             '@datatype': 'string'},\n",
+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
+      "                                                           '@detail': 'full',\n",
+      "                                                           '@frameid': 'PUB-26673716',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           'author': [...],\n",
+      "                                                           'pubmed-id': {...},\n",
+      "                                                           'source': {...},\n",
+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '1',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Pfam-Features',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
+      "                              'right-end-position': {'#text': '103',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586499',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1586499',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'S',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
+      "                                                   'binding activity..',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP',\n",
+      "                                                             '@class': 'true',\n",
+      "                                                             '@detail': 'full',\n",
+      "                                                             '@frameid': 'EV-EXP',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'from '\n",
+      "                                                                                      'experiment',\n",
+      "                                                                             '@datatype': 'string'}},\n",
+      "                                           'Publication': {'@ID': 'ECOLI:PUB-15247288',\n",
+      "                                                           '@detail': 'full',\n",
+      "                                                           '@frameid': 'PUB-15247288',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           'author': [...],\n",
+      "                                                           'pubmed-id': {...},\n",
+      "                                                           'source': {...},\n",
+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '101',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
+      "                              'right-end-position': {'#text': '101',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586498',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1586498',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'S',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
+      "                                                   'binding activity..',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-EXP',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '99',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
+      "                              'right-end-position': {'#text': '99',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586497',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1586497',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'S',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: Decrease of iron '\n",
+      "                                                   'binding activity..',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-EXP',\n",
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+      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '35',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
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+      "                              'comment': {'#text': 'UniProt: Iron.',\n",
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+      "                                                             'common-name': {'#text': 'Inferred '\n",
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+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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+      "                              'residue-number': {'#text': '101',\n",
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+      "                              'comment': {'#text': 'UniProt: Iron.',\n",
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+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
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+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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+      "                              'residue-number': {'#text': '99',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron.',\n",
+      "                                          '@datatype': 'string'},\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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+      "                              'residue-number': {'#text': '35',\n",
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+      " 'has-go-term': [{'GO-Term': {'@class': 'true',\n",
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+      "                                                                      'interactions\\n'\n",
+      "                                                                      '    '\n",
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+      "                                                                      '<li> '\n",
+      "                                                                      'Co-immunoprecipitation\\n'\n",
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+      "                                                                      '<li> '\n",
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+      "                                                                      '</ul><p '\n",
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+      "                                                                      'between '\n",
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+      "                                                                      'gene '\n",
+      "                                                                      'product '\n",
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+      "                                                                      'molecule '\n",
+      "                                                                      '(or '\n",
+      "                                                                      'ion, or '\n",
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+      "                                                                      'functions '\n",
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+      "                                                                      'as '\n",
+      "                                                                      'protein '\n",
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+      "                                                                      'acid '\n",
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+      "                                                                      'assay '\n",
+      "                                                                      'is\\n'\n",
+      "                                                                      'simultaneously '\n",
+      "                                                                      'IPI and '\n",
+      "                                                                      'IDA; '\n",
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+      "                                                                      'preferred '\n",
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+      "                                                                      'the '\n",
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+      "                                                                      'directly '\n",
+      "                                                                      'detects '\n",
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+      "                                                                      'binding. '\n",
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+      "                                                                      'IGI, it '\n",
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+      "                                                                      'be '\n",
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+      "                                                                      'the '\n",
+      "                                                                      'gene/protein/ion.',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                                 'common-name': {'#text': 'Inferred '\n",
+      "                                                                          'from '\n",
+      "                                                                          'physical '\n",
+      "                                                                          'interaction',\n",
+      "                                                                 '@datatype': 'string'},\n",
+      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                              '@frameid': 'EV-EXP',\n",
+      "                                                                              '@orgid': 'ECOLI',\n",
+      "                                                                              '@resource': '#ECOLI:EV-EXP'}}},\n",
+      "                               'Publication': {'@ID': 'ECOLI:PUB-15050828',\n",
+      "                                               '@detail': 'full',\n",
+      "                                               '@frameid': 'PUB-15050828',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': [{...},\n",
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+      "                                                          {...},\n",
+      "                                                          {...}],\n",
+      "                                               'pubmed-id': {'#text': '15050828',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                               'source': {'#text': 'J Mol Biol '\n",
+      "                                                                   '338(1);127-37',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Crystal '\n",
+      "                                                                  'structure '\n",
+      "                                                                  'of IscA, an '\n",
+      "                                                                  'iron-sulfur '\n",
+      "                                                                  'cluster '\n",
+      "                                                                  'assembly '\n",
+      "                                                                  'protein '\n",
+      "                                                                  'from '\n",
+      "                                                                  'Escherichia '\n",
+      "                                                                  'coli.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2004',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0005737',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0005737'},\n",
+      "                  'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-IBA',\n",
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+      "                                                 'comment': {'#text': 'A type '\n",
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+      "                                                                      'through '\n",
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+      "                                                                      'aspect '\n",
+      "                                                                      'of a '\n",
+      "                                                                      'ancestral '\n",
+      "                                                                      'gene.',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                                 'common-name': {'#text': 'Inferred '\n",
+      "                                                                          'from '\n",
+      "                                                                          'Biological '\n",
+      "                                                                          'aspect '\n",
+      "                                                                          'from '\n",
+      "                                                                          'Ancestor',\n",
+      "                                                                 '@datatype': 'string'},\n",
+      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                              '@frameid': 'EV-COMP',\n",
+      "                                                                              '@orgid': 'ECOLI',\n",
+      "                                                                              '@resource': 'getxml?ECOLI:EV-COMP'}}},\n",
+      "                               'Publication': {'@ID': 'ECOLI:PUB-21873635',\n",
+      "                                               '@detail': 'full',\n",
+      "                                               '@frameid': 'PUB-21873635',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': [{...},\n",
+      "                                                          {...},\n",
+      "                                                          {...},\n",
+      "                                                          {...}],\n",
+      "                                               'pubmed-id': {'#text': '21873635',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                               'source': {'#text': 'Brief '\n",
+      "                                                                   'Bioinform '\n",
+      "                                                                   '12(5);449-62',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Phylogenetic-based '\n",
+      "                                                                  'propagation '\n",
+      "                                                                  'of '\n",
+      "                                                                  'functional '\n",
+      "                                                                  'annotations '\n",
+      "                                                                  'within the '\n",
+      "                                                                  'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'consortium.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2011',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'#text': 'PANTHER\\\\:PTN001601055|PomBase\\\\:SPCC645.03c|SGD\\\\:S000003950|UniProtKB\\\\:O97297|UniProtKB\\\\:P0AAC8|UniProtKB\\\\:Q57X28',\n",
+      "                                        '@datatype': 'string'}}},\n",
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+      "                              '@resource': 'getxml?ECOLI:GO:0097428'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-IBA'},\n",
+      "                               'Publication': {'@frameid': 'PUB-21873635',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-21873635'},\n",
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+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0051536'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000002',\n",
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+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': [{...},\n",
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+      "                                                          {...},\n",
+      "                                                          {...},\n",
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+      "                                               'title': {'#text': 'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotation '\n",
+      "                                                                  'through '\n",
+      "                                                                  'association '\n",
+      "                                                                  'of InterPro '\n",
+      "                                                                  'records '\n",
+      "                                                                  'with GO '\n",
+      "                                                                  'terms.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
+      "                                                       '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2001',\n",
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+      "                                        '@datatype': 'string'}}},\n",
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+      "                              '@frameid': 'GO:0046872',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0046872'},\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                                  'UniProtKB/Swiss-Prot '\n",
+      "                                                                  'keyword '\n",
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+      "                                                                  'accompanied '\n",
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+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
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+      "                                                                   'curators',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Electronic '\n",
+      "                                                                  'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotations '\n",
+      "                                                                  'created by '\n",
+      "                                                                  'transferring '\n",
+      "                                                                  'manual GO '\n",
+      "                                                                  'annotations '\n",
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+      "                                                                  'related '\n",
+      "                                                                  'proteins '\n",
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+      "                                                                  'shared '\n",
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+      "                                               'year': {'#text': '2015',\n",
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+      "                                                                           '12;711077',\n",
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+      "                                               'ongoing updates to the U00096 '\n",
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+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'sgama',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'comment': {...},\n",
+      "                                                      'common-name': {...}}},\n",
+      "                                          {'Person': {'@ID': 'ECOLI:santos-zavaleta',\n",
+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'santos-zavaleta',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'common-name': {...}}},\n",
+      "                                          {'Person': {'@ID': 'ECOLI:tierrafria',\n",
+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'tierrafria',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'email': {...},\n",
+      "                                                      'middle-name': {...}}},\n",
+      "                                          {'Person': {'@ID': 'ECOLI:figueroa',\n",
+      "                                                      '@detail': 'full',\n",
+      "                                                      '@frameid': 'figueroa',\n",
+      "                                                      '@orgid': 'ECOLI',\n",
+      "                                                      'affiliations': {...},\n",
+      "                                                      'email': {...},\n",
+      "                                                      'middle-name': {...}}}],\n",
+      "                          'pgdb-copyright': {'#text': 'Copyright SRI '\n",
+      "                                                      'International '\n",
+      "                                                      '1999-2023, Marine '\n",
+      "                                                      'Biological Laboratory '\n",
+      "                                                      '1998-2001, DoubleTwist '\n",
+      "                                                      'Inc 1998-1999.  All '\n",
+      "                                                      'Rights Reserved.',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                          'pgdb-footer-citation': {'#text': '<a '\n",
+      "                                                            'href=\"https://www.frontiersin.org/articles/10.3389/fmicb.2021.711077/full\">Frontiers '\n",
+      "                                                            'in Microbiology '\n",
+      "                                                            '2021</a>',\n",
+      "                                                   '@datatype': 'string'},\n",
+      "                          'pgdb-name': {'#text': 'EcoCyc',\n",
+      "                                        '@datatype': 'string'},\n",
+      "                          'pgdb-tier': {'#text': '1', '@datatype': 'integer'},\n",
+      "                          'rank': 'strain',\n",
+      "                          'strain-name': {'#text': 'K-12 substr. MG1655',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                          'synonym': {'#text': 'Escherichia coli K-12 substr. '\n",
+      "                                               'MG1655',\n",
+      "                                      '@datatype': 'string'}}},\n",
+      " 'synonym': [{'#text': 'IscA', '@datatype': 'string'},\n",
+      "             {'#text': 'YfhF', '@datatype': 'string'},\n",
+      "             {'#text': 'iron-sulfur cluster assembly protein',\n",
+      "              '@datatype': 'string'}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "complex = 'EG12132-MONOMER'\n",
+    "\n",
+    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=high'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "pp.pprint(o)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T17:31:39.064158Z",
+     "start_time": "2023-06-16T17:31:38.577204Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 421,
    "outputs": [
     {
      "name": "stdout",
@@ -130,6 +1231,17 @@
       "RECFOR-CPLX 404\n",
       "CPLX0-7796APO 404\n"
      ]
+    },
+    {
+     "ename": "KeyError",
+     "evalue": "'parent'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/1098421248.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     42\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     43\u001B[0m                 \u001B[0;32mfor\u001B[0m \u001B[0mfeature\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeatures\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 44\u001B[0;31m                     \u001B[0mcategory\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'parent'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'@frameid'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     45\u001B[0m                     \u001B[0;32mif\u001B[0m \u001B[0mcategory\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m'Metal-Binding-Sites'\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'comment'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'Uniprot'\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     46\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mKeyError\u001B[0m: 'parent'"
+     ]
     }
    ],
    "source": [
@@ -146,58 +1258,176 @@
     "\n",
     "    o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
     "\n",
-    "    if 'catalyzes' not in o:\n",
+    "    if 'component-of' in o and 'catalyzes' not in o:\n",
     "        continue\n",
-    "    else:\n",
+    "\n",
+    "    # check if components have enzymatic-reaction:\n",
+    "    components = o['component']\n",
+    "    if type(components) is dict:\n",
+    "        components = [components]\n",
+    "\n",
+    "    for component in components:\n",
+    "\n",
+    "        if \"Protein\" in component:\n",
+    "            component_id = component['Protein']['@frameid']\n",
+    "\n",
+    "            req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{component_id}&detail=high'\n",
+    "            rc = s.get(req_str)\n",
+    "            oc = xmltodict.parse(rc.content)['ptools-xml']['Protein']\n",
+    "\n",
+    "            feature_set = set()\n",
+    "            if 'has-feature' in oc:\n",
+    "                features = oc['has-feature']\n",
+    "\n",
+    "                if type(features) is dict:\n",
+    "                    features = [features]\n",
+    "\n",
+    "                for feature in features:\n",
+    "                    if 'parent' not in feature['Feature']:\n",
+    "                        continue\n",
+    "\n",
+    "                    category = feature['Feature']['parent']['Feature']['@frameid']\n",
+    "                    if category == 'Metal-Binding-Sites' and 'comment' in feature['Feature']:\n",
+    "\n",
+    "                        # Detect match to any of the allowed metal names and allowed cofactor names and add to list\n",
+    "                        comment = feature['Feature']['comment']['#text']\n",
+    "                        feature_set.add(comment)\n",
+    "\n",
+    "                        pre_complex_df.at[i, 'metal_binding'] = list(feature_set)\n",
+    "\n",
+    "\n",
+    "    # if enzyme\n",
+    "    if 'catalyzes' in o:\n",
     "        o = o['catalyzes']['Enzymatic-Reaction']\n",
     "\n",
-    "    if type(o) is dict:\n",
-    "        o = [o]\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
     "\n",
-    "    for enzrxn in o:\n",
-    "        enz_id = enzrxn['@frameid']\n",
+    "        for enzrxn in o:\n",
+    "            enz_id = enzrxn['@frameid']\n",
     "\n",
-    "        enz_req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{enz_id}&detail=high'\n",
+    "            enz_req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{enz_id}&detail=high'\n",
     "\n",
-    "        re = s.get(enz_req_str)\n",
-    "        oe = xmltodict.parse(re.content)['ptools-xml']['Enzymatic-Reaction']\n",
+    "            rz = s.get(enz_req_str)\n",
+    "            oe = xmltodict.parse(rz.content)['ptools-xml']['Enzymatic-Reaction']\n",
     "\n",
-    "        pre_complex_df.at[i, 'enzyme-reaction'] = enz_id\n",
+    "            pre_complex_df.at[i, 'enzyme-reaction'] = enz_id\n",
     "\n",
-    "        if \"cofactor\" in oe:\n",
-    "            # print(enz_id)\n",
-    "            oe = oe['cofactor']\n",
+    "            if \"cofactor\" in oe:\n",
+    "                oe = oe['cofactor']\n",
     "\n",
-    "            if type(oe) is dict:\n",
-    "                oe = [oe]\n",
+    "                if type(oe) is dict:\n",
+    "                    oe = [oe]\n",
     "\n",
-    "            cofactor_list = []\n",
-    "            for cofactor in oe:\n",
-    "                cof = cofactor['Compound']['@frameid']\n",
-    "                cofactor_list.append(cof)\n",
-    "                # print('\\t' + cof)\n",
+    "                cofactor_list = []\n",
+    "                for cofactor in oe:\n",
+    "                    cof = cofactor['Compound']['@frameid']\n",
+    "                    cofactor_list.append(cof)\n",
     "\n",
-    "            pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
+    "                pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
     "\n"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:30:16.728966Z",
-     "start_time": "2023-06-14T00:27:24.951037Z"
+     "end_time": "2023-06-16T18:09:24.922769Z",
+     "start_time": "2023-06-16T17:58:07.698078Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 434,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'UniProt: Calcium 1.',\n 'UniProt: Calcium 1; via carbonyl oxygen.',\n 'UniProt: Calcium 1; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 1; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium 2.',\n 'UniProt: Calcium 2; in dimeric form.',\n 'UniProt: Calcium 2; via carbonyl oxygen.',\n 'UniProt: Calcium 2; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 3; in monomeric form.',\n 'UniProt: Calcium 3; shared with dimeric partner.',\n 'UniProt: Calcium 3; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium.',\n 'UniProt: Calcium; via carbonyl oxygen.',\n 'UniProt: Cobalt (adenosylcob(III)alamin axial ligand).',\n 'UniProt: Cobalt.',\n 'UniProt: Cobalt; via tele nitrogen.',\n 'UniProt: Copper.',\n 'UniProt: Copper; via pros nitrogen.',\n 'UniProt: Copper; via tele nitrogen.',\n 'UniProt: Divalent metal cation 1.',\n 'UniProt: Divalent metal cation 1; via carbamate group.',\n 'UniProt: Divalent metal cation 1; via carbonyl oxygen.',\n 'UniProt: Divalent metal cation 2.',\n 'UniProt: Divalent metal cation 2; via carbamate group.',\n 'UniProt: Divalent metal cation 3.',\n 'UniProt: Divalent metal cation.',\n 'UniProt: Divalent metal cation; shared with dimeric partner.',\n 'UniProt: Divalent metal cation; via pros nitrogen.',\n 'UniProt: Divalent metal cation; via tele nitrogen.',\n 'UniProt: Fe(2+); catalytic.',\n 'UniProt: Iron (heme 1 axial ligand).',\n 'UniProt: Iron (heme 2 axial ligand).',\n 'UniProt: Iron (heme 3 axial ligand).',\n 'UniProt: Iron (heme 4 axial ligand).',\n 'UniProt: Iron (heme 5 axial ligand).',\n 'UniProt: Iron (heme B 1 axial ligand).',\n 'UniProt: Iron (heme B 2 axial ligand).',\n 'UniProt: Iron (heme axial ligand).',\n 'UniProt: Iron (heme b axial ligand).',\n 'UniProt: Iron (heme b axial ligand); shared with dimeric partner.',\n 'UniProt: Iron (heme b proximal ligand); via tele nitrogen.',\n 'UniProt: Iron (heme distal ligand).',\n 'UniProt: Iron (heme proximal ligand).',\n 'UniProt: Iron (siroheme axial ligand).',\n 'UniProt: Iron 1.',\n 'UniProt: Iron 1; shared with dodecameric partner.',\n 'UniProt: Iron 2.',\n 'UniProt: Iron 3.',\n 'UniProt: Iron-sulfur (2Fe-2S).',\n 'UniProt: Iron-sulfur (2Fe-2S); shared with dimeric partner.',\n 'UniProt: Iron-sulfur (2Fe-2S); via persulfide group; shared with IscU.',\n 'UniProt: Iron-sulfur (2Fe-2S); via pros nitrogen.',\n 'UniProt: Iron-sulfur (4Fe-4S) 1.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2; 4Fe-4S-S-AdoMet.',\n 'UniProt: Iron-sulfur (4Fe-4S) 3.',\n 'UniProt: Iron-sulfur (4Fe-4S) 4.',\n 'UniProt: Iron-sulfur (4Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S-S-AdoMet).',\n 'UniProt: Iron-sulfur.',\n 'UniProt: Iron.',\n 'UniProt: Iron; catalytic.',\n 'UniProt: Iron; via tele nitrogen.',\n 'UniProt: Iron; via tele nitrogen; catalytic.',\n 'UniProt: Magnesium 1.',\n 'UniProt: Magnesium 1; catalytic.',\n 'UniProt: Magnesium 1; via carbonyl oxygen.',\n 'UniProt: Magnesium 1; via pros nitrogen.',\n 'UniProt: Magnesium 2.',\n 'UniProt: Magnesium 2; catalytic.',\n 'UniProt: Magnesium 3.',\n 'UniProt: Magnesium or cobalt.',\n 'UniProt: Magnesium or manganese.',\n 'UniProt: Magnesium.',\n 'UniProt: Magnesium; catalytic.',\n 'UniProt: Magnesium; via carbamate group.',\n 'UniProt: Magnesium; via carbonyl oxygen.',\n 'UniProt: Magnesium; via tele nitrogen.',\n 'UniProt: Manganese 1.',\n 'UniProt: Manganese 1; via pros nitrogen.',\n 'UniProt: Manganese 1; via tele nitrogen.',\n 'UniProt: Manganese 2.',\n 'UniProt: Manganese 2; via tele nitrogen.',\n 'UniProt: Manganese.',\n 'UniProt: Manganese; via pros nitrogen.',\n 'UniProt: Molybdate.',\n 'UniProt: Molybdate; via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-bis(molybdopterin guanine dinucleotide) metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand).',\n 'UniProt: Molybdenum.',\n 'UniProt: Nickel 1.',\n 'UniProt: Nickel 2.',\n 'UniProt: Nickel.',\n 'UniProt: Nickel; shared with dimeric partner.',\n 'UniProt: Nickel; via tele nitrogen.',\n 'UniProt: Nickel; via tele nitrogen; shared with dimeric partner.',\n 'UniProt: Potassium 1.',\n 'UniProt: Potassium 1; via carbonyl oxygen.',\n 'UniProt: Potassium 2; via carbonyl oxygen.',\n 'UniProt: Potassium.',\n 'UniProt: Potassium; via carbonyl oxygen.',\n 'UniProt: Potassium; via carbonyl oxygen; shared with tetrameric partner.',\n 'UniProt: Sodium.',\n 'UniProt: Sodium; via carbonyl oxygen.',\n 'UniProt: Zinc 1.',\n 'UniProt: Zinc 1; catalytic.',\n 'UniProt: Zinc 1; via carbamate group.',\n 'UniProt: Zinc 1; via carbamate group; catalytic.',\n 'UniProt: Zinc 1; via tele nitrogen.',\n 'UniProt: Zinc 1; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 2.',\n 'UniProt: Zinc 2; catalytic.',\n 'UniProt: Zinc 2; via carbamate group.',\n 'UniProt: Zinc 2; via carbamate group; catalytic.',\n 'UniProt: Zinc 2; via pros nitrogen.',\n 'UniProt: Zinc 2; via pros nitrogen; catalytic.',\n 'UniProt: Zinc 2; via tele nitrogen.',\n 'UniProt: Zinc 2; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 3.',\n 'UniProt: Zinc.',\n 'UniProt: Zinc; catalytic.',\n 'UniProt: Zinc; shared with EIIA-Glc.',\n 'UniProt: Zinc; shared with dimeric partner.',\n 'UniProt: Zinc; shared with glycerol kinase.',\n 'UniProt: Zinc; via pros nitrogen.',\n 'UniProt: Zinc; via pros nitrogen; catalytic.',\n 'UniProt: Zinc; via tele nitrogen.',\n 'UniProt: Zn(2+); catalytic.'}"
+     },
+     "execution_count": 434,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_features = set()\n",
+    "\n",
+    "for i in range(len(pre_complex_df.index)):\n",
+    "\n",
+    "        if pre_complex_df.loc[i, 'metal_binding'] is not None:\n",
+    "            # only include set elements that have Uniprot in string\n",
+    "            metal_binding = pre_complex_df.loc[i, 'metal_binding']\n",
+    "            for feature in metal_binding:\n",
+    "                if 'UniProt' in feature:\n",
+    "                    total_features.add(feature)\n",
+    "            metal_binding = [x for x in metal_binding if 'UniProt' in x]\n",
+    "\n",
+    "            pre_complex_df.at[i, 'metal_binding'] = metal_binding\n",
+    "\n",
+    "            total_features.update(metal_binding)\n",
+    "\n",
+    "total_features"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T18:20:14.916003Z",
+     "start_time": "2023-06-16T18:20:14.911043Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 475,
+   "outputs": [],
+   "source": [
+    "ALLOWED_METAL_NAMES = {'Iron': 'FE', 'Cobalt': 'CO', 'Copper': 'CU', 'Manganese': 'MN', 'Molybdenum': 'MO', 'Nickel': 'NI', 'Tungsten': 'W', 'Zinc': 'ZN',\n",
+    "                       'Calcium': 'CA', 'Magnesium': 'MG', 'Sodium': 'NA', 'Potassium': 'K',\n",
+    "                       'Iron-sulfur \\(4Fe-4S\\)': 'CPD-7', 'Iron-sulfur \\(2Fe-2S\\)': 'CPD-6', 'heme': 'heme', 'Molybdate': 'CPD-3'}\n",
+    "\n",
+    "pre_complex_df['metal_binding_processed'] = 0\n",
+    "pre_complex_df['metal_binding_processed'] = pre_complex_df['metal_binding_processed'].astype(object)\n",
+    "\n",
+    "metal_pattern = '|'.join(ALLOWED_METAL_NAMES.keys())\n",
+    "metal_regex = re.compile(f'(({metal_pattern})(\\s\\d[\\.,;]|[\\.,;]|\\s\\())')\n",
+    "\n",
+    "\n",
+    "for i in range(len(pre_complex_df.index)):\n",
+    "\n",
+    "    if pre_complex_df.loc[i, 'metal_binding'] is not None:\n",
+    "        metal_binding = pre_complex_df.loc[i, 'metal_binding']\n",
+    "\n",
+    "        metal_binding_processed = set()\n",
+    "\n",
+    "        for feature in metal_binding:\n",
+    "            matches = metal_regex.search(feature)\n",
+    "            if matches:\n",
+    "                metal = matches.group(0)[:-1]\n",
+    "\n",
+    "                if 'heme' in feature:\n",
+    "                    metal = metal.replace('Iron', 'heme')\n",
+    "\n",
+    "                metal_binding_processed.add(metal)\n",
+    "\n",
+    "        pre_complex_df.at[i, 'metal_binding_processed'] = list(metal_binding_processed)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T18:52:20.806776Z",
+     "start_time": "2023-06-16T18:52:20.803858Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 476,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \n0                                               [MG+2]  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]  \n2                                         [MG+2, MN+2]  \n3                                              [CPD-7]  \n4                                               [MG+2]  \n...                                                ...  \n1096                                              None  \n1097                                              None  \n1098                                              None  \n1099                                              None  \n1100                                              None  \n\n[1101 rows x 5 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 5 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                [Magnesium]  \n3                         []  \n4                [Magnesium]  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 10,
+     "execution_count": 476,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -208,8 +1438,82 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:33:26.092235Z",
-     "start_time": "2023-06-14T00:33:26.089956Z"
+     "end_time": "2023-06-16T18:52:22.017981Z",
+     "start_time": "2023-06-16T18:52:22.013052Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 477,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Potassium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Molybdate not in ALLOWED_METAL_NAMES\n",
+      "WARNING: heme  not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Iron not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Manganese 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Manganese 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
+      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "'int' object is not iterable",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3458107399.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      6\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      7\u001B[0m     \u001B[0mmetal_count_dict\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 8\u001B[0;31m     \u001B[0;32mfor\u001B[0m \u001B[0mmetal\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mmetal_binding_processed\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      9\u001B[0m         \u001B[0;31m# find match in ALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     10\u001B[0m         \u001B[0;32mfor\u001B[0m \u001B[0mname\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
+     ]
+    }
+   ],
+   "source": [
+    "#\n",
+    "for i in range(len(pre_complex_df.index)):\n",
+    "\n",
+    "    # for each value of metal_binding_processed, create dict with counts of each metal\n",
+    "    metal_binding_processed = pre_complex_df.loc[i, 'metal_binding_processed']\n",
+    "\n",
+    "    metal_count_dict = {}\n",
+    "    for metal in metal_binding_processed:\n",
+    "        # find match in ALLOWED_METAL_NAMES\n",
+    "        for name in ALLOWED_METAL_NAMES:\n",
+    "            if name in metal:\n",
+    "                metal_name = ALLOWED_METAL_NAMES[name]\n",
+    "\n",
+    "                if metal_name in metal_count_dict:\n",
+    "                    metal_count_dict[metal_name] += 1\n",
+    "                else:\n",
+    "                    metal_count_dict[metal_name] = 1\n",
+    "\n",
+    "            else:\n",
+    "                print(f\"WARNING: {metal} not in ALLOWED_METAL_NAMES\")\n",
+    "                break"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-16T19:00:54.435019Z",
+     "start_time": "2023-06-16T19:00:54.425272Z"
     }
    }
   },

From 0e24bff0325533a467f6e50fa20e8f66408f97ee Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 19 Jun 2023 14:29:54 -0700
Subject: [PATCH 26/58] Finished adding protein feature metal binding. Need to
 merge and include in counts calculations

---
 notebooks/fbagd/metal_binding.ipynb | 174 ++++++++++++++++------------
 1 file changed, 98 insertions(+), 76 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 7744f23dc..56c3a6f4d 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -1377,7 +1377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 475,
+   "execution_count": 501,
    "outputs": [],
    "source": [
     "ALLOWED_METAL_NAMES = {'Iron': 'FE', 'Cobalt': 'CO', 'Copper': 'CU', 'Manganese': 'MN', 'Molybdenum': 'MO', 'Nickel': 'NI', 'Tungsten': 'W', 'Zinc': 'ZN',\n",
@@ -1396,38 +1396,54 @@
     "    if pre_complex_df.loc[i, 'metal_binding'] is not None:\n",
     "        metal_binding = pre_complex_df.loc[i, 'metal_binding']\n",
     "\n",
-    "        metal_binding_processed = set()\n",
+    "        metal_count_dict = {}\n",
+    "        existing_matches = set()\n",
     "\n",
     "        for feature in metal_binding:\n",
     "            matches = metal_regex.search(feature)\n",
     "            if matches:\n",
     "                metal = matches.group(0)[:-1]\n",
     "\n",
-    "                if 'heme' in feature:\n",
-    "                    metal = metal.replace('Iron', 'heme')\n",
+    "                # eliminate duplicates\n",
+    "                if metal not in existing_matches:\n",
     "\n",
-    "                metal_binding_processed.add(metal)\n",
+    "                    existing_matches.add(metal)\n",
     "\n",
-    "        pre_complex_df.at[i, 'metal_binding_processed'] = list(metal_binding_processed)"
+    "                    if 'heme' in feature:\n",
+    "                        metal = metal.replace('Iron', 'heme')\n",
+    "\n",
+    "                    # check if last char of metal is a number, then crop\n",
+    "                    if metal[-1].isdigit():\n",
+    "                        metal = metal[:-2]\n",
+    "\n",
+    "                    if metal in metal_count_dict:\n",
+    "                        metal_count_dict[metal] += 1\n",
+    "                    else:\n",
+    "                        metal_count_dict[metal] = 1\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "        pre_complex_df.at[i, 'metal_binding_processed'] = metal_count_dict"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:52:20.806776Z",
-     "start_time": "2023-06-16T18:52:20.803858Z"
+     "end_time": "2023-06-19T19:01:28.742373Z",
+     "start_time": "2023-06-19T19:01:28.730817Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 476,
+   "execution_count": 502,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                [Magnesium]  \n3                         []  \n4                [Magnesium]  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>[Magnesium]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 476,
+     "execution_count": 502,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1438,97 +1454,103 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:52:22.017981Z",
-     "start_time": "2023-06-16T18:52:22.013052Z"
+     "end_time": "2023-06-19T19:01:29.289889Z",
+     "start_time": "2023-06-19T19:01:29.245680Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 477,
+   "execution_count": 503,
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Potassium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Molybdate not in ALLOWED_METAL_NAMES\n",
-      "WARNING: heme  not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Iron not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Manganese 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Manganese 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 1 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Zinc 2 not in ALLOWED_METAL_NAMES\n",
-      "WARNING: Magnesium not in ALLOWED_METAL_NAMES\n"
-     ]
-    },
-    {
-     "ename": "TypeError",
-     "evalue": "'int' object is not iterable",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/3458107399.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      6\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      7\u001B[0m     \u001B[0mmetal_count_dict\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m{\u001B[0m\u001B[0;34m}\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 8\u001B[0;31m     \u001B[0;32mfor\u001B[0m \u001B[0mmetal\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mmetal_binding_processed\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      9\u001B[0m         \u001B[0;31m# find match in ALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     10\u001B[0m         \u001B[0;32mfor\u001B[0m \u001B[0mname\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mALLOWED_METAL_NAMES\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
-     ]
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+     },
+     "execution_count": 503,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "#\n",
+    "# for row of pre_complex_df, if metal_binding_processed is 0, set as empty dict\n",
     "for i in range(len(pre_complex_df.index)):\n",
+    "    if pre_complex_df.loc[i, 'metal_binding_processed'] == 0:\n",
+    "        pre_complex_df.at[i, 'metal_binding_processed'] = {}\n",
     "\n",
-    "    # for each value of metal_binding_processed, create dict with counts of each metal\n",
-    "    metal_binding_processed = pre_complex_df.loc[i, 'metal_binding_processed']\n",
-    "\n",
-    "    metal_count_dict = {}\n",
-    "    for metal in metal_binding_processed:\n",
-    "        # find match in ALLOWED_METAL_NAMES\n",
-    "        for name in ALLOWED_METAL_NAMES:\n",
-    "            if name in metal:\n",
-    "                metal_name = ALLOWED_METAL_NAMES[name]\n",
-    "\n",
-    "                if metal_name in metal_count_dict:\n",
-    "                    metal_count_dict[metal_name] += 1\n",
-    "                else:\n",
-    "                    metal_count_dict[metal_name] = 1\n",
-    "\n",
-    "            else:\n",
-    "                print(f\"WARNING: {metal} not in ALLOWED_METAL_NAMES\")\n",
-    "                break"
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-19T21:27:20.960566Z",
+     "start_time": "2023-06-19T21:27:20.956351Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 487,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                  {'MG': 1}  \n3                         []  \n4                  {'MG': 1}  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+     },
+     "execution_count": 487,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-19T18:45:36.796825Z",
+     "start_time": "2023-06-19T18:45:36.785727Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 504,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1096                        CPLX0-8053   \n1097                        CPLX0-8253   \n1098                          SRP-CPLX   \n1099                     CPLX0-7796APO   \n1100                         ARCB-CPLX   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]        {'Magnesium': 1}  \n3                                              [CPD-7]                      {}  \n4                                               [MG+2]        {'Magnesium': 1}  \n...                                                ...                     ...  \n1096                                              None                      {}  \n1097                                              None                      {}  \n1098                                              None                      {}  \n1099                                              None                      {}  \n1100                                              None                      {}  \n\n[1101 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 504,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T19:00:54.435019Z",
-     "start_time": "2023-06-16T19:00:54.425272Z"
+     "end_time": "2023-06-19T21:28:53.016873Z",
+     "start_time": "2023-06-19T21:28:53.012474Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 505,
    "outputs": [],
    "source": [
-    "pre_complex_df.to_csv('cofactors.csv', index=False)"
+    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']].to_csv('cofactors_new.csv', index=False)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T00:30:16.753298Z",
-     "start_time": "2023-06-14T00:30:16.746991Z"
+     "end_time": "2023-06-19T21:29:22.637307Z",
+     "start_time": "2023-06-19T21:29:22.630535Z"
     }
    }
   },

From 5e78c0429792d05c54fa4299f1f805a4de982de2 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 19 Jun 2023 14:39:48 -0700
Subject: [PATCH 27/58] Finished adding protein feature metal binding. Need to
 merge and include in counts calculations

---
 notebooks/fbagd/metal_binding.ipynb | 71 +++++------------------------
 1 file changed, 12 insertions(+), 59 deletions(-)

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 56c3a6f4d..d10c25992 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -1461,14 +1461,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 503,
+   "execution_count": 506,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                                []   \n1097                                                []   \n1098                                                []   \n1099                                                []   \n1100                                                []   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 503,
+     "execution_count": 506,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1479,69 +1479,22 @@
     "    if pre_complex_df.loc[i, 'metal_binding_processed'] == 0:\n",
     "        pre_complex_df.at[i, 'metal_binding_processed'] = {}\n",
     "\n",
+    "    if pre_complex_df.loc[i, 'cofactors'] == None:\n",
+    "        pre_complex_df.at[i, 'cofactors'] = []\n",
+    "\n",
     "pre_complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:27:20.960566Z",
-     "start_time": "2023-06-19T21:27:20.956351Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 487,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         []  \n1                         []  \n2                  {'MG': 1}  \n3                         []  \n4                  {'MG': 1}  \n...                      ...  \n1096                      []  \n1097                      []  \n1098                      []  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'MG': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
-     },
-     "execution_count": 487,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pre_complex_df"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-19T18:45:36.796825Z",
-     "start_time": "2023-06-19T18:45:36.785727Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 504,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1096                        CPLX0-8053   \n1097                        CPLX0-8253   \n1098                          SRP-CPLX   \n1099                     CPLX0-7796APO   \n1100                         ARCB-CPLX   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]        {'Magnesium': 1}  \n3                                              [CPD-7]                      {}  \n4                                               [MG+2]        {'Magnesium': 1}  \n...                                                ...                     ...  \n1096                                              None                      {}  \n1097                                              None                      {}  \n1098                                              None                      {}  \n1099                                              None                      {}  \n1100                                              None                      {}  \n\n[1101 rows x 3 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 3 columns</p>\n</div>"
-     },
-     "execution_count": 504,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-19T21:28:53.016873Z",
-     "start_time": "2023-06-19T21:28:53.012474Z"
+     "end_time": "2023-06-19T21:31:03.340718Z",
+     "start_time": "2023-06-19T21:31:03.334662Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 505,
+   "execution_count": 507,
    "outputs": [],
    "source": [
     "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']].to_csv('cofactors_new.csv', index=False)"
@@ -1549,8 +1502,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:29:22.637307Z",
-     "start_time": "2023-06-19T21:29:22.630535Z"
+     "end_time": "2023-06-19T21:32:57.743647Z",
+     "start_time": "2023-06-19T21:32:57.736816Z"
     }
    }
   },

From 1b95889bb424f9e0f61a1952f448adb60577cfa6 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Thu, 22 Jun 2023 16:26:43 -0700
Subject: [PATCH 28/58] Creating new notebook to retrieve UniProt annotations
 since they seem to have more accurate stoichiometry.

---
 notebooks/fbagd/metal_binding.ipynb         |  459 +++++--
 notebooks/fbagd/metal_binding_uniprot.ipynb | 1287 +++++++++++++++++++
 2 files changed, 1633 insertions(+), 113 deletions(-)
 create mode 100644 notebooks/fbagd/metal_binding_uniprot.ipynb

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index d10c25992..5fc907dfe 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 414,
+   "execution_count": 22,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:33.299324Z",
-     "start_time": "2023-06-16T17:31:33.261196Z"
+     "end_time": "2023-06-21T17:26:34.828405Z",
+     "start_time": "2023-06-21T17:26:34.820533Z"
     }
    },
    "outputs": [],
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 415,
+   "execution_count": 23,
    "outputs": [],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
@@ -50,21 +50,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:33.540791Z",
-     "start_time": "2023-06-16T17:31:33.506172Z"
+     "end_time": "2023-06-21T17:26:35.003794Z",
+     "start_time": "2023-06-21T17:26:34.947321Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 416,
+   "execution_count": 24,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal-binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal-binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal_binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 416,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -77,8 +77,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:33.716Z",
-     "start_time": "2023-06-16T17:31:33.704851Z"
+     "end_time": "2023-06-21T17:26:35.258113Z",
+     "start_time": "2023-06-21T17:26:35.234284Z"
     }
    }
   },
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 417,
+   "execution_count": 25,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 417,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,14 +112,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:34.839691Z",
-     "start_time": "2023-06-16T17:31:34.552814Z"
+     "end_time": "2023-06-21T17:26:35.823687Z",
+     "start_time": "2023-06-21T17:26:35.545396Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 418,
+   "execution_count": 26,
    "outputs": [
     {
      "name": "stdout",
@@ -1213,14 +1213,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T17:31:39.064158Z",
-     "start_time": "2023-06-16T17:31:38.577204Z"
+     "end_time": "2023-06-21T17:26:36.490323Z",
+     "start_time": "2023-06-21T17:26:36.159052Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 421,
+   "execution_count": 27,
    "outputs": [
     {
      "name": "stdout",
@@ -1231,17 +1231,6 @@
       "RECFOR-CPLX 404\n",
       "CPLX0-7796APO 404\n"
      ]
-    },
-    {
-     "ename": "KeyError",
-     "evalue": "'parent'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_85561/1098421248.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m     42\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     43\u001B[0m                 \u001B[0;32mfor\u001B[0m \u001B[0mfeature\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeatures\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 44\u001B[0;31m                     \u001B[0mcategory\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'parent'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'@frameid'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     45\u001B[0m                     \u001B[0;32mif\u001B[0m \u001B[0mcategory\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m'Metal-Binding-Sites'\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'comment'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mfeature\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Feature'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0;34m'Uniprot'\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     46\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mKeyError\u001B[0m: 'parent'"
-     ]
     }
    ],
    "source": [
@@ -1330,20 +1319,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:09:24.922769Z",
-     "start_time": "2023-06-16T17:58:07.698078Z"
+     "end_time": "2023-06-21T17:35:47.859429Z",
+     "start_time": "2023-06-21T17:26:36.495196Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 434,
+   "execution_count": 28,
    "outputs": [
     {
      "data": {
-      "text/plain": "{'UniProt: Calcium 1.',\n 'UniProt: Calcium 1; via carbonyl oxygen.',\n 'UniProt: Calcium 1; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 1; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium 2.',\n 'UniProt: Calcium 2; in dimeric form.',\n 'UniProt: Calcium 2; via carbonyl oxygen.',\n 'UniProt: Calcium 2; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 3; in monomeric form.',\n 'UniProt: Calcium 3; shared with dimeric partner.',\n 'UniProt: Calcium 3; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium.',\n 'UniProt: Calcium; via carbonyl oxygen.',\n 'UniProt: Cobalt (adenosylcob(III)alamin axial ligand).',\n 'UniProt: Cobalt.',\n 'UniProt: Cobalt; via tele nitrogen.',\n 'UniProt: Copper.',\n 'UniProt: Copper; via pros nitrogen.',\n 'UniProt: Copper; via tele nitrogen.',\n 'UniProt: Divalent metal cation 1.',\n 'UniProt: Divalent metal cation 1; via carbamate group.',\n 'UniProt: Divalent metal cation 1; via carbonyl oxygen.',\n 'UniProt: Divalent metal cation 2.',\n 'UniProt: Divalent metal cation 2; via carbamate group.',\n 'UniProt: Divalent metal cation 3.',\n 'UniProt: Divalent metal cation.',\n 'UniProt: Divalent metal cation; shared with dimeric partner.',\n 'UniProt: Divalent metal cation; via pros nitrogen.',\n 'UniProt: Divalent metal cation; via tele nitrogen.',\n 'UniProt: Fe(2+); catalytic.',\n 'UniProt: Iron (heme 1 axial ligand).',\n 'UniProt: Iron (heme 2 axial ligand).',\n 'UniProt: Iron (heme 3 axial ligand).',\n 'UniProt: Iron (heme 4 axial ligand).',\n 'UniProt: Iron (heme 5 axial ligand).',\n 'UniProt: Iron (heme B 1 axial ligand).',\n 'UniProt: Iron (heme B 2 axial ligand).',\n 'UniProt: Iron (heme axial ligand).',\n 'UniProt: Iron (heme b axial ligand).',\n 'UniProt: Iron (heme b axial ligand); shared with dimeric partner.',\n 'UniProt: Iron (heme b proximal ligand); via tele nitrogen.',\n 'UniProt: Iron (heme distal ligand).',\n 'UniProt: Iron (heme proximal ligand).',\n 'UniProt: Iron (siroheme axial ligand).',\n 'UniProt: Iron 1.',\n 'UniProt: Iron 1; shared with dodecameric partner.',\n 'UniProt: Iron 2.',\n 'UniProt: Iron 3.',\n 'UniProt: Iron-sulfur (2Fe-2S).',\n 'UniProt: Iron-sulfur (2Fe-2S); shared with dimeric partner.',\n 'UniProt: Iron-sulfur (2Fe-2S); via persulfide group; shared with IscU.',\n 'UniProt: Iron-sulfur (2Fe-2S); via pros nitrogen.',\n 'UniProt: Iron-sulfur (4Fe-4S) 1.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2; 4Fe-4S-S-AdoMet.',\n 'UniProt: Iron-sulfur (4Fe-4S) 3.',\n 'UniProt: Iron-sulfur (4Fe-4S) 4.',\n 'UniProt: Iron-sulfur (4Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S-S-AdoMet).',\n 'UniProt: Iron-sulfur.',\n 'UniProt: Iron.',\n 'UniProt: Iron; catalytic.',\n 'UniProt: Iron; via tele nitrogen.',\n 'UniProt: Iron; via tele nitrogen; catalytic.',\n 'UniProt: Magnesium 1.',\n 'UniProt: Magnesium 1; catalytic.',\n 'UniProt: Magnesium 1; via carbonyl oxygen.',\n 'UniProt: Magnesium 1; via pros nitrogen.',\n 'UniProt: Magnesium 2.',\n 'UniProt: Magnesium 2; catalytic.',\n 'UniProt: Magnesium 3.',\n 'UniProt: Magnesium or cobalt.',\n 'UniProt: Magnesium or manganese.',\n 'UniProt: Magnesium.',\n 'UniProt: Magnesium; catalytic.',\n 'UniProt: Magnesium; via carbamate group.',\n 'UniProt: Magnesium; via carbonyl oxygen.',\n 'UniProt: Magnesium; via tele nitrogen.',\n 'UniProt: Manganese 1.',\n 'UniProt: Manganese 1; via pros nitrogen.',\n 'UniProt: Manganese 1; via tele nitrogen.',\n 'UniProt: Manganese 2.',\n 'UniProt: Manganese 2; via tele nitrogen.',\n 'UniProt: Manganese.',\n 'UniProt: Manganese; via pros nitrogen.',\n 'UniProt: Molybdate.',\n 'UniProt: Molybdate; via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-bis(molybdopterin guanine dinucleotide) metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand).',\n 'UniProt: Molybdenum.',\n 'UniProt: Nickel 1.',\n 'UniProt: Nickel 2.',\n 'UniProt: Nickel.',\n 'UniProt: Nickel; shared with dimeric partner.',\n 'UniProt: Nickel; via tele nitrogen.',\n 'UniProt: Nickel; via tele nitrogen; shared with dimeric partner.',\n 'UniProt: Potassium 1.',\n 'UniProt: Potassium 1; via carbonyl oxygen.',\n 'UniProt: Potassium 2; via carbonyl oxygen.',\n 'UniProt: Potassium.',\n 'UniProt: Potassium; via carbonyl oxygen.',\n 'UniProt: Potassium; via carbonyl oxygen; shared with tetrameric partner.',\n 'UniProt: Sodium.',\n 'UniProt: Sodium; via carbonyl oxygen.',\n 'UniProt: Zinc 1.',\n 'UniProt: Zinc 1; catalytic.',\n 'UniProt: Zinc 1; via carbamate group.',\n 'UniProt: Zinc 1; via carbamate group; catalytic.',\n 'UniProt: Zinc 1; via tele nitrogen.',\n 'UniProt: Zinc 1; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 2.',\n 'UniProt: Zinc 2; catalytic.',\n 'UniProt: Zinc 2; via carbamate group.',\n 'UniProt: Zinc 2; via carbamate group; catalytic.',\n 'UniProt: Zinc 2; via pros nitrogen.',\n 'UniProt: Zinc 2; via pros nitrogen; catalytic.',\n 'UniProt: Zinc 2; via tele nitrogen.',\n 'UniProt: Zinc 2; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 3.',\n 'UniProt: Zinc.',\n 'UniProt: Zinc; catalytic.',\n 'UniProt: Zinc; shared with EIIA-Glc.',\n 'UniProt: Zinc; shared with dimeric partner.',\n 'UniProt: Zinc; shared with glycerol kinase.',\n 'UniProt: Zinc; via pros nitrogen.',\n 'UniProt: Zinc; via pros nitrogen; catalytic.',\n 'UniProt: Zinc; via tele nitrogen.',\n 'UniProt: Zn(2+); catalytic.'}"
+      "text/plain": "{'UniProt: Calcium 1.',\n 'UniProt: Calcium 1; via carbonyl oxygen.',\n 'UniProt: Calcium 1; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 1; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium 2.',\n 'UniProt: Calcium 2; in dimeric form.',\n 'UniProt: Calcium 2; via carbonyl oxygen.',\n 'UniProt: Calcium 2; via carbonyl oxygen; in dimeric form.',\n 'UniProt: Calcium 3; in monomeric form.',\n 'UniProt: Calcium 3; shared with dimeric partner.',\n 'UniProt: Calcium 3; via carbonyl oxygen; shared with dimeric partner.',\n 'UniProt: Calcium.',\n 'UniProt: Calcium; via carbonyl oxygen.',\n 'UniProt: Cobalt (adenosylcob(III)alamin axial ligand).',\n 'UniProt: Cobalt.',\n 'UniProt: Cobalt; via tele nitrogen.',\n 'UniProt: Copper.',\n 'UniProt: Copper; via pros nitrogen.',\n 'UniProt: Copper; via tele nitrogen.',\n 'UniProt: Divalent metal cation 1.',\n 'UniProt: Divalent metal cation 1; via carbamate group.',\n 'UniProt: Divalent metal cation 1; via carbonyl oxygen.',\n 'UniProt: Divalent metal cation 2.',\n 'UniProt: Divalent metal cation 2; via carbamate group.',\n 'UniProt: Divalent metal cation 3.',\n 'UniProt: Divalent metal cation.',\n 'UniProt: Divalent metal cation; shared with dimeric partner.',\n 'UniProt: Divalent metal cation; via pros nitrogen.',\n 'UniProt: Divalent metal cation; via tele nitrogen.',\n 'UniProt: Fe(2+); catalytic.',\n 'UniProt: Iron (heme 1 axial ligand).',\n 'UniProt: Iron (heme 2 axial ligand).',\n 'UniProt: Iron (heme 3 axial ligand).',\n 'UniProt: Iron (heme 4 axial ligand).',\n 'UniProt: Iron (heme 5 axial ligand).',\n 'UniProt: Iron (heme B 1 axial ligand).',\n 'UniProt: Iron (heme B 2 axial ligand).',\n 'UniProt: Iron (heme axial ligand).',\n 'UniProt: Iron (heme b axial ligand).',\n 'UniProt: Iron (heme b axial ligand); shared with dimeric partner.',\n 'UniProt: Iron (heme b proximal ligand); via tele nitrogen.',\n 'UniProt: Iron (heme b558 axial ligand).',\n 'UniProt: Iron (heme b595 axial ligand).',\n 'UniProt: Iron (heme distal ligand).',\n 'UniProt: Iron (heme o axial ligand).',\n 'UniProt: Iron (heme proximal ligand).',\n 'UniProt: Iron (siroheme axial ligand).',\n 'UniProt: Iron 1.',\n 'UniProt: Iron 1; shared with dodecameric partner.',\n 'UniProt: Iron 2.',\n 'UniProt: Iron 3.',\n 'UniProt: Iron-sulfur (2Fe-2S).',\n 'UniProt: Iron-sulfur (2Fe-2S); shared with dimeric partner.',\n 'UniProt: Iron-sulfur (2Fe-2S); via persulfide group; shared with IscU.',\n 'UniProt: Iron-sulfur (2Fe-2S); via pros nitrogen.',\n 'UniProt: Iron-sulfur (3Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S) 1.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2.',\n 'UniProt: Iron-sulfur (4Fe-4S) 2; 4Fe-4S-S-AdoMet.',\n 'UniProt: Iron-sulfur (4Fe-4S) 3.',\n 'UniProt: Iron-sulfur (4Fe-4S) 4.',\n 'UniProt: Iron-sulfur (4Fe-4S).',\n 'UniProt: Iron-sulfur (4Fe-4S-S-AdoMet).',\n 'UniProt: Iron-sulfur 1 (2Fe-2S).',\n 'UniProt: Iron-sulfur 2 (4Fe-4S).',\n 'UniProt: Iron-sulfur 3 (3Fe-4S).',\n 'UniProt: Iron-sulfur.',\n 'UniProt: Iron.',\n 'UniProt: Iron; catalytic.',\n 'UniProt: Iron; via tele nitrogen.',\n 'UniProt: Iron; via tele nitrogen; catalytic.',\n 'UniProt: Magnesium 1.',\n 'UniProt: Magnesium 1; catalytic.',\n 'UniProt: Magnesium 1; via carbonyl oxygen.',\n 'UniProt: Magnesium 1; via pros nitrogen.',\n 'UniProt: Magnesium 2.',\n 'UniProt: Magnesium 2; catalytic.',\n 'UniProt: Magnesium 3.',\n 'UniProt: Magnesium or cobalt.',\n 'UniProt: Magnesium or manganese.',\n 'UniProt: Magnesium.',\n 'UniProt: Magnesium; catalytic.',\n 'UniProt: Magnesium; via carbamate group.',\n 'UniProt: Magnesium; via carbonyl oxygen.',\n 'UniProt: Magnesium; via tele nitrogen.',\n 'UniProt: Manganese 1.',\n 'UniProt: Manganese 1; via pros nitrogen.',\n 'UniProt: Manganese 1; via tele nitrogen.',\n 'UniProt: Manganese 2.',\n 'UniProt: Manganese 2; via tele nitrogen.',\n 'UniProt: Manganese 3.',\n 'UniProt: Manganese 4.',\n 'UniProt: Manganese.',\n 'UniProt: Manganese; via pros nitrogen.',\n 'UniProt: Molybdate.',\n 'UniProt: Molybdate; via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-bis(molybdopterin guanine dinucleotide) metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand).',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand); via amide nitrogen.',\n 'UniProt: Molybdenum (Mo-molybdopterin metal ligand); via carbonyl oxygen.',\n 'UniProt: Molybdenum.',\n 'UniProt: Nickel 1.',\n 'UniProt: Nickel 2.',\n 'UniProt: Nickel.',\n 'UniProt: Nickel; shared with dimeric partner.',\n 'UniProt: Nickel; via tele nitrogen.',\n 'UniProt: Nickel; via tele nitrogen; shared with dimeric partner.',\n 'UniProt: Potassium 1.',\n 'UniProt: Potassium 1; via carbonyl oxygen.',\n 'UniProt: Potassium 2; via carbonyl oxygen.',\n 'UniProt: Potassium.',\n 'UniProt: Potassium; via carbonyl oxygen.',\n 'UniProt: Potassium; via carbonyl oxygen; shared with tetrameric partner.',\n 'UniProt: Sodium.',\n 'UniProt: Sodium; via carbonyl oxygen.',\n 'UniProt: Zinc 1.',\n 'UniProt: Zinc 1; catalytic.',\n 'UniProt: Zinc 1; via carbamate group.',\n 'UniProt: Zinc 1; via carbamate group; catalytic.',\n 'UniProt: Zinc 1; via tele nitrogen.',\n 'UniProt: Zinc 1; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 2.',\n 'UniProt: Zinc 2; catalytic.',\n 'UniProt: Zinc 2; via carbamate group.',\n 'UniProt: Zinc 2; via carbamate group; catalytic.',\n 'UniProt: Zinc 2; via pros nitrogen.',\n 'UniProt: Zinc 2; via pros nitrogen; catalytic.',\n 'UniProt: Zinc 2; via tele nitrogen.',\n 'UniProt: Zinc 2; via tele nitrogen; catalytic.',\n 'UniProt: Zinc 3.',\n 'UniProt: Zinc.',\n 'UniProt: Zinc; catalytic.',\n 'UniProt: Zinc; shared with EIIA-Glc.',\n 'UniProt: Zinc; shared with dimeric partner.',\n 'UniProt: Zinc; shared with glycerol kinase.',\n 'UniProt: Zinc; structural.',\n 'UniProt: Zinc; via pros nitrogen.',\n 'UniProt: Zinc; via pros nitrogen; catalytic.',\n 'UniProt: Zinc; via tele nitrogen.',\n 'UniProt: Zn(2+); catalytic.'}"
      },
-     "execution_count": 434,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1370,20 +1359,24 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-16T18:20:14.916003Z",
-     "start_time": "2023-06-16T18:20:14.911043Z"
+     "end_time": "2023-06-21T17:35:47.893545Z",
+     "start_time": "2023-06-21T17:35:47.866154Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 501,
+   "execution_count": 29,
    "outputs": [],
    "source": [
-    "ALLOWED_METAL_NAMES = {'Iron': 'FE', 'Cobalt': 'CO', 'Copper': 'CU', 'Manganese': 'MN', 'Molybdenum': 'MO', 'Nickel': 'NI', 'Tungsten': 'W', 'Zinc': 'ZN',\n",
-    "                       'Calcium': 'CA', 'Magnesium': 'MG', 'Sodium': 'NA', 'Potassium': 'K',\n",
+    "ALLOWED_METAL_NAMES = {'Iron': 'FE+2', 'Cobalt': 'CO+2', 'Copper': 'CU+2', 'Manganese': 'MN+2', 'Molybdenum': 'MO+2', 'Nickel': 'NI+2', 'Tungsten': 'W', 'Zinc': 'ZN+2',\n",
+    "                       'Calcium': 'CA+2', 'Magnesium': 'MG+2', 'Sodium': 'NA+', 'Potassium': 'K+',\n",
     "                       'Iron-sulfur \\(4Fe-4S\\)': 'CPD-7', 'Iron-sulfur \\(2Fe-2S\\)': 'CPD-6', 'heme': 'heme', 'Molybdate': 'CPD-3'}\n",
     "\n",
+    "NON_REGEX_METAL = {'Iron': 'FE+2', 'Cobalt': 'CO+2', 'Copper': 'CU+2', 'Manganese': 'MN+2', 'Molybdenum': 'MO+2', 'Nickel': 'NI+2', 'Tungsten': 'W', 'Zinc': 'ZN+2',\n",
+    "                       'Calcium': 'CA+2', 'Magnesium': 'MG+2', 'Sodium': 'NA+', 'Potassium': 'K+',\n",
+    "                       'Iron-sulfur (4Fe-4S)': 'CPD-7', 'Iron-sulfur (2Fe-2S)': 'CPD-6', 'heme': 'heme', 'Molybdate': 'CPD-3'}\n",
+    "\n",
     "pre_complex_df['metal_binding_processed'] = 0\n",
     "pre_complex_df['metal_binding_processed'] = pre_complex_df['metal_binding_processed'].astype(object)\n",
     "\n",
@@ -1416,6 +1409,11 @@
     "                    if metal[-1].isdigit():\n",
     "                        metal = metal[:-2]\n",
     "\n",
+    "                    metal = metal.strip()\n",
+    "\n",
+    "                    # replace metal name with allowed metal name\n",
+    "                    metal = NON_REGEX_METAL[metal]\n",
+    "\n",
     "                    if metal in metal_count_dict:\n",
     "                        metal_count_dict[metal] += 1\n",
     "                    else:\n",
@@ -1429,21 +1427,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T19:01:28.742373Z",
-     "start_time": "2023-06-19T19:01:28.730817Z"
+     "end_time": "2023-06-21T17:35:47.907513Z",
+     "start_time": "2023-06-21T17:35:47.889213Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 502,
+   "execution_count": 30,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                              None   \n1097                                              None   \n1098                                              None   \n1099                                              None   \n1100                                              None   \n\n                                          metal_binding  \\\n0                                                  None   \n1                                                  None   \n2     [UniProt: Magnesium or manganese., UniProt: Ma...   \n3                      [UniProt: Iron-sulfur (4Fe-4S).]   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                               None   \n1097                                               None   \n1098                                               None   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                          0  \n1                          0  \n2                {'MG+2': 1}  \n3               {'CPD-7': 1}  \n4                {'MG+2': 1}  \n...                      ...  \n1096                       0  \n1097                       0  \n1098                       0  \n1099                       0  \n1100                       0  \n\n[1101 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium or manganese., UniProt: Ma...</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[UniProt: Iron-sulfur (4Fe-4S).]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>None</td>\n      <td>None</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 502,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1454,21 +1452,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T19:01:29.289889Z",
-     "start_time": "2023-06-19T19:01:29.245680Z"
+     "end_time": "2023-06-21T17:35:47.913884Z",
+     "start_time": "2023-06-21T17:35:47.905437Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 506,
+   "execution_count": 31,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  \\\n0                                               [MG+2]   \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]   \n2                                         [MG+2, MN+2]   \n3                                              [CPD-7]   \n4                                               [MG+2]   \n...                                                ...   \n1096                                                []   \n1097                                                []   \n1098                                                []   \n1099                                                []   \n1100                                                []   \n\n                                          metal_binding  \\\n0                                                    []   \n1                                                    []   \n2     [UniProt: Magnesium., UniProt: Magnesium or ma...   \n3                                                    []   \n4                                 [UniProt: Magnesium.]   \n...                                                 ...   \n1096                                                 []   \n1097                                                 []   \n1098                                                 []   \n1099                                               None   \n1100                                               None   \n\n     metal_binding_processed  \n0                         {}  \n1                         {}  \n2           {'Magnesium': 1}  \n3                         {}  \n4           {'Magnesium': 1}  \n...                      ...  \n1096                      {}  \n1097                      {}  \n1098                      {}  \n1099                      {}  \n1100                      {}  \n\n[1101 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>[UniProt: Magnesium., UniProt: Magnesium or ma...</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>[UniProt: Magnesium.]</td>\n      <td>{'Magnesium': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>None</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 7 columns</p>\n</div>"
+      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1096                        CPLX0-8053   \n1097                        CPLX0-8253   \n1098                          SRP-CPLX   \n1099                     CPLX0-7796APO   \n1100                         ARCB-CPLX   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]             {'MG+2': 1}  \n3                                              [CPD-7]            {'CPD-7': 1}  \n4                                               [MG+2]             {'MG+2': 1}  \n...                                                ...                     ...  \n1096                                                []                      {}  \n1097                                                []                      {}  \n1098                                                []                      {}  \n1099                                                []                      {}  \n1100                                                []                      {}  \n\n[1101 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>[]</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 3 columns</p>\n</div>"
      },
-     "execution_count": 506,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1482,28 +1480,139 @@
     "    if pre_complex_df.loc[i, 'cofactors'] == None:\n",
     "        pre_complex_df.at[i, 'cofactors'] = []\n",
     "\n",
-    "pre_complex_df"
+    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-21T17:35:47.984684Z",
+     "start_time": "2023-06-21T17:35:47.920942Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                               complex  \\\n0                                1-PFK   \n1                2OXOGLUTARATEDEH-CPLX   \n2          3-ISOPROPYLMALDEHYDROG-CPLX   \n3              3-ISOPROPYLMALISOM-CPLX   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n...                                ...   \n1083                       UPPSYN-CPLX   \n1084         URACIL-PRIBOSYLTRANS-CPLX   \n1085                       URPHOS-CPLX   \n1088                      XYLISOM-CPLX   \n1091                        CPLX0-1382   \n\n                                             cofactors metal_binding_processed  \n0                                               [MG+2]                      {}  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                         [MG+2, MN+2]             {'MG+2': 1}  \n3                                              [CPD-7]            {'CPD-7': 1}  \n4                                               [MG+2]             {'MG+2': 1}  \n...                                                ...                     ...  \n1083                                            [MG+2]             {'MG+2': 1}  \n1084                                            [MG+2]                      {}  \n1085                                              [K+]                      {}  \n1088                                      [MG+2, MN+2]             {'MG+2': 2}  \n1091                                            [MG+2]                      {}  \n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1088</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 2}</td>\n    </tr>\n    <tr>\n      <th>1091</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# only include rows that have cofactors or metal binding\n",
+    "pre_complex_df.loc[(pre_complex_df['cofactors'].map(len) > 0) | (pre_complex_df['metal_binding_processed'].map(len) > 0),['complex', 'cofactors', 'metal_binding_processed']]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:31:03.340718Z",
-     "start_time": "2023-06-19T21:31:03.334662Z"
+     "end_time": "2023-06-21T17:55:29.879045Z",
+     "start_time": "2023-06-21T17:55:29.874924Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 507,
+   "execution_count": 55,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                            cofactors metal_binding_processed  \n0                                              [MG+2]                      {}  \n1    [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}  \n2                                        [MG+2, MN+2]             {'MG+2': 1}  \n3                                             [CPD-7]            {'CPD-7': 1}  \n4                                              [MG+2]             {'MG+2': 1}  \n..                                                ...                     ...  \n442                                            [MG+2]             {'MG+2': 1}  \n443                                            [MG+2]                      {}  \n444                                              [K+]                      {}  \n445                                      [MG+2, MN+2]             {'MG+2': 2}  \n446                                            [MG+2]                      {}  \n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 2}</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filtered_complex_df =  pre_complex_df.loc[(pre_complex_df['cofactors'].map(len) > 0) | (pre_complex_df['metal_binding_processed'].map(len) > 0),\n",
+    "                                          ['complex', 'cofactors', 'metal_binding_processed']].reset_index(drop=True)\n",
+    "\n",
+    "filtered_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-21T23:50:55.663323Z",
+     "start_time": "2023-06-21T23:50:55.654291Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                            cofactors metal_binding_processed  \\\n0                                              [MG+2]                      {}   \n1    [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]                      {}   \n2                                        [MG+2, MN+2]             {'MG+2': 1}   \n3                                             [CPD-7]            {'CPD-7': 1}   \n4                                              [MG+2]             {'MG+2': 1}   \n..                                                ...                     ...   \n442                                            [MG+2]             {'MG+2': 1}   \n443                                            [MG+2]                      {}   \n444                                              [K+]                      {}   \n445                                      [MG+2, MN+2]             {'MG+2': 2}   \n446                                            [MG+2]                      {}   \n\n                                              combined  \n0                                          {'MG+2': 1}  \n1    {'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...  \n2                               {'MG+2': 1, 'MN+2': 1}  \n3                                         {'CPD-7': 1}  \n4                                          {'MG+2': 1}  \n..                                                 ...  \n442                                        {'MG+2': 1}  \n443                                        {'MG+2': 1}  \n444                                          {'K+': 1}  \n445                             {'MG+2': 2, 'MN+2': 1}  \n446                                        {'MG+2': 1}  \n\n[447 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>cofactors</th>\n      <th>metal_binding_processed</th>\n      <th>combined</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>{}</td>\n      <td>{'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 1}</td>\n      <td>{'MG+2': 1, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>{'CPD-7': 1}</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{'MG+2': 1}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>{}</td>\n      <td>{'K+': 1}</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>{'MG+2': 2}</td>\n      <td>{'MG+2': 2, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>{}</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filtered_complex_df['combined'] = 0\n",
+    "filtered_complex_df['combined'] = filtered_complex_df['combined'].astype(object)\n",
+    "\n",
+    "# for each complex, if there are both cofactors and metal binding, combine them\n",
+    "for i in range(len(filtered_complex_df.index)):\n",
+    "    cofactors = filtered_complex_df.at[i, 'cofactors']\n",
+    "    metal_binding = filtered_complex_df.at[i, 'metal_binding_processed']\n",
+    "\n",
+    "    # if both are not empty\n",
+    "    if len(cofactors) > 0 and len(metal_binding) > 0:\n",
+    "\n",
+    "        new_cofactors = set(cofactors) - set(metal_binding)\n",
+    "\n",
+    "        # create new dict that adds new cofactors to metal binding with stoichiometry of 1\n",
+    "        new_metal_binding = metal_binding.copy()\n",
+    "        for cofactor in new_cofactors:\n",
+    "            new_metal_binding[cofactor] = 1\n",
+    "\n",
+    "\n",
+    "        filtered_complex_df.at[i, 'combined'] = new_metal_binding\n",
+    "\n",
+    "    elif len(cofactors) > 0:\n",
+    "        # create dict with stoichiometry of 1 for each cofactor\n",
+    "        new_cofactors = {}\n",
+    "        for cofactor in cofactors:\n",
+    "            new_cofactors[cofactor] = 1\n",
+    "\n",
+    "        filtered_complex_df.at[i, 'combined'] = new_cofactors\n",
+    "\n",
+    "    elif len(metal_binding) > 0:\n",
+    "        filtered_complex_df.at[i, 'combined'] = metal_binding\n",
+    "\n",
+    "filtered_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-21T23:52:07.278056Z",
+     "start_time": "2023-06-21T23:52:07.275285Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
    "outputs": [],
    "source": [
-    "pre_complex_df.loc[:, ['complex', 'cofactors', 'metal_binding_processed']].to_csv('cofactors_new.csv', index=False)"
+    "filtered_complex_df.to_csv('cofactors_new.csv', index=False)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-19T21:32:57.743647Z",
-     "start_time": "2023-06-19T21:32:57.736816Z"
+     "end_time": "2023-06-22T16:27:50.919277Z",
+     "start_time": "2023-06-22T16:27:50.907076Z"
     }
    }
   },
@@ -1514,6 +1623,96 @@
     "collapsed": false
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Experiment with UniProt API"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'name': 'Mn(2+)', 'dbReference': {'type': 'CHEBI', 'id': 'CHEBI:29035'}}]\n",
+      "[{'value': 'Binds 1 Mn(2+) ion per subunit'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use UniProt api to fetch cofactor for protein P00448\n",
+    "import urllib.request\n",
+    "import json\n",
+    "\n",
+    "url = 'https://www.ebi.ac.uk/proteins/api/proteins/P00448'\n",
+    "\n",
+    "req = urllib.request.Request(url)\n",
+    "with urllib.request.urlopen(req) as f:\n",
+    "    response = f.read()\n",
+    "    data = json.loads(response.decode('utf-8'))\n",
+    "\n",
+    "    # get cofactors\n",
+    "    for comment in data['comments']:\n",
+    "        if 'cofactors' in comment:\n",
+    "            print(comment['cofactors'], comment['text'], sep='\\n')\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T21:25:21.915988Z",
+     "start_time": "2023-06-22T21:25:21.100732Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'text': [{'value': 'Destroys superoxide anion radicals which are normally '\n",
+      "                     'produced within the cells and which are toxic to '\n",
+      "                     'biological systems'}],\n",
+      "  'type': 'FUNCTION'},\n",
+      " {'reaction': {'dbReferences': [{'id': 'RHEA:20696', 'type': 'Rhea'},\n",
+      "                                {'id': 'CHEBI:15378', 'type': 'ChEBI'},\n",
+      "                                {'id': 'CHEBI:15379', 'type': 'ChEBI'},\n",
+      "                                {'id': 'CHEBI:16240', 'type': 'ChEBI'},\n",
+      "                                {'id': 'CHEBI:18421', 'type': 'ChEBI'}],\n",
+      "               'ecNumber': '1.15.1.1',\n",
+      "               'name': '2 H(+) + 2 superoxide = H2O2 + O2'},\n",
+      "  'type': 'CATALYTIC_ACTIVITY'},\n",
+      " {'cofactors': [{'dbReference': {'id': 'CHEBI:29035', 'type': 'CHEBI'},\n",
+      "                 'name': 'Mn(2+)'}],\n",
+      "  'text': [{'value': 'Binds 1 Mn(2+) ion per subunit'}],\n",
+      "  'type': 'COFACTOR'},\n",
+      " {'text': [{'value': 'Homodimer'}], 'type': 'SUBUNIT'},\n",
+      " {'text': [{'evidences': [{'code': 'ECO:0000305'}],\n",
+      "            'value': 'Belongs to the iron/manganese superoxide dismutase '\n",
+      "                     'family'}],\n",
+      "  'type': 'SIMILARITY'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pp.pprint(data['comments'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T21:23:33.189130Z",
+     "start_time": "2023-06-22T21:23:33.186586Z"
+    }
+   }
+  },
   {
    "cell_type": "markdown",
    "source": [
@@ -1525,39 +1724,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 62,
    "outputs": [
     {
      "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                              combined  \n0                                          {'MG+2': 1}  \n1    {'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...  \n2                               {'MG+2': 1, 'MN+2': 1}  \n3                                         {'CPD-7': 1}  \n4                                          {'MG+2': 1}  \n..                                                 ...  \n442                                        {'MG+2': 1}  \n443                                        {'MG+2': 1}  \n444                                          {'K+': 1}  \n445                             {'MG+2': 2, 'MN+2': 1}  \n446                                        {'MG+2': 1}  \n\n[447 rows x 2 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>combined</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>{'LIPOIC-ACID': 1, 'THIAMINE-PYROPHOSPHATE': 1...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>{'MG+2': 1, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>{'CPD-7': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>{'K+': 1}</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>{'MG+2': 2, 'MN+2': 1}</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>{'MG+2': 1}</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 2 columns</p>\n</div>"
      },
-     "execution_count": 169,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "complex_df = pd.read_csv('notebooks/fbagd/cofactors.csv', sep=',').fillna('None')\n",
-    "complex_df.cofactors = complex_df.cofactors.apply(ast.literal_eval)\n",
-    "complex_df['counts'] = 0\n",
+    "complex_df = pd.read_csv('notebooks/fbagd/cofactors_new.csv', sep=',').fillna('None').loc[:, ['complex', 'combined']]\n",
+    "complex_df.combined = complex_df.combined.apply(ast.literal_eval)\n",
     "\n",
-    "# replace None with empty list\n",
-    "complex_df['cofactors'] = complex_df['cofactors'].apply(lambda x: [] if x is None else x)\n",
     "\n",
     "complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:11:57.117402Z",
-     "start_time": "2023-06-14T21:11:57.103792Z"
+     "end_time": "2023-06-22T16:45:44.133846Z",
+     "start_time": "2023-06-22T16:45:44.121156Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 63,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -1569,14 +1765,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:16.631995Z",
-     "start_time": "2023-06-14T21:12:16.630454Z"
+     "end_time": "2023-06-22T16:47:32.088129Z",
+     "start_time": "2023-06-22T16:47:32.081925Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 64,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -1588,14 +1784,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:17.089573Z",
-     "start_time": "2023-06-14T21:12:17.010486Z"
+     "end_time": "2023-06-22T16:47:33.369506Z",
+     "start_time": "2023-06-22T16:47:33.328879Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 65,
    "outputs": [],
    "source": [
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
@@ -1605,14 +1801,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:17.951305Z",
-     "start_time": "2023-06-14T21:12:17.442672Z"
+     "end_time": "2023-06-22T16:47:35.889210Z",
+     "start_time": "2023-06-22T16:47:33.820310Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 66,
    "outputs": [],
    "source": [
     "metabolism = agent['ecoli-metabolism-redux']\n",
@@ -1622,14 +1818,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:17.956297Z",
-     "start_time": "2023-06-14T21:12:17.954605Z"
+     "end_time": "2023-06-22T16:47:36.466907Z",
+     "start_time": "2023-06-22T16:47:36.458720Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 67,
    "outputs": [],
    "source": [
     "bulk = pd.DataFrame(output['bulk'], columns=bulk_ids)"
@@ -1637,39 +1833,39 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:18.753896Z",
-     "start_time": "2023-06-14T21:12:18.172277Z"
+     "end_time": "2023-06-22T16:47:37.266100Z",
+     "start_time": "2023-06-22T16:47:36.725500Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 74,
    "outputs": [
     {
-     "data": {
-      "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction  \\\n0                                1-PFK_RXN   \n1                2OXOGLUTARATEDEH-CPLX_RXN   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN   \n3              3-ISOPROPYLMALISOM-CPLX_RXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN   \n...                                    ...   \n1096                        CPLX0-8053_RXN   \n1097                        CPLX0-8253_RXN   \n1098                          SRP-CPLX_RXN   \n1099                     CPLX0-7796APO_RXN   \n1100                         ARCB-CPLX_RXN   \n\n                         enzyme-reaction  \\\n0                  1PFRUCTPHOSPHN-ENZRXN   \n1                2OXOGLUTARATEDEH-ENZRXN   \n2          3-ISOPROPYLMALDEHYDROG-ENZRXN   \n3              3-ISOPROPYLMALISOM-ENZRXN   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN   \n...                                  ...   \n1096                                None   \n1097                                None   \n1098                                None   \n1099                                None   \n1100                        ENZRXN0-8568   \n\n                                             cofactors  counts  \n0                                               [MG+2]       0  \n1     [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]       0  \n2                                         [MG+2, MN+2]       0  \n3                                              [CPD-7]       0  \n4                                               [MG+2]       0  \n...                                                ...     ...  \n1096                                                []       0  \n1097                                                []       0  \n1098                                                []       0  \n1099                                                []       0  \n1100                                                []       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>1PFRUCTPHOSPHN-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>2OXOGLUTARATEDEH-ENZRXN</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALDEHYDROG-ENZRXN</td>\n      <td>[MG+2, MN+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>3-ISOPROPYLMALISOM-ENZRXN</td>\n      <td>[CPD-7]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-ENZRXN</td>\n      <td>[MG+2]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>ENZRXN0-8568</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
-     },
-     "execution_count": 175,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPLX0-7533[o]\n"
+     ]
     }
    ],
    "source": [
-    "complex_df"
+    "for name in bulk.keys():\n",
+    "    if 'CPLX0-7533' in name:\n",
+    "        print(name)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:18.761011Z",
-     "start_time": "2023-06-14T21:12:18.758491Z"
+     "end_time": "2023-06-22T17:12:24.632577Z",
+     "start_time": "2023-06-22T17:12:24.628917Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 80,
    "outputs": [],
    "source": [
     "for complex_name in complex_df['complex']:\n",
@@ -1687,21 +1883,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:25.830761Z",
-     "start_time": "2023-06-14T21:12:22.273449Z"
+     "end_time": "2023-06-22T19:13:36.412491Z",
+     "start_time": "2023-06-22T19:13:35.481669Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 85,
    "outputs": [
     {
      "data": {
-      "text/plain": "             complex  stoichiometry             reaction   enzyme-reaction  \\\n709       CPLX0-8223              1       CPLX0-8223_RXN              None   \n390       CPLX0-7534              1       CPLX0-7534_RXN      ENZRXN0-8522   \n864     GAPDH-A-CPLX              1     GAPDH-A-CPLX_RXN    GAPDH-A-ENZRXN   \n487       CPLX0-7747              1       CPLX0-7747_RXN       ENZRXN0-252   \n917  ISOCITHASE-CPLX              1  ISOCITHASE-CPLX_RXN  ISOCITDEH-ENZRXN   \n..               ...            ...                  ...               ...   \n123        ATOA-CPLX              1        ATOA-CPLX_RXN              None   \n124        ATOD-CPLX              1        ATOD-CPLX_RXN              None   \n126    ATPASE-1-CPLX              1    ATPASE-1-CPLX_RXN    TRANS-ENZRXN-2   \n132          B2-CPLX              1          B2-CPLX_RXN              None   \n328       CPLX0-3922              1       CPLX0-3922_RXN              None   \n\n    cofactors  counts  \n709        []   36915  \n390        []   19181  \n864        []   13436  \n487        []   12667  \n917    [MN+2]   12315  \n..        ...     ...  \n123        []       0  \n124        []       0  \n126        []       0  \n132        []       0  \n328        []       0  \n\n[1101 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>709</th>\n      <td>CPLX0-8223</td>\n      <td>1</td>\n      <td>CPLX0-8223_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>36915</td>\n    </tr>\n    <tr>\n      <th>390</th>\n      <td>CPLX0-7534</td>\n      <td>1</td>\n      <td>CPLX0-7534_RXN</td>\n      <td>ENZRXN0-8522</td>\n      <td>[]</td>\n      <td>19181</td>\n    </tr>\n    <tr>\n      <th>864</th>\n      <td>GAPDH-A-CPLX</td>\n      <td>1</td>\n      <td>GAPDH-A-CPLX_RXN</td>\n      <td>GAPDH-A-ENZRXN</td>\n      <td>[]</td>\n      <td>13436</td>\n    </tr>\n    <tr>\n      <th>487</th>\n      <td>CPLX0-7747</td>\n      <td>1</td>\n      <td>CPLX0-7747_RXN</td>\n      <td>ENZRXN0-252</td>\n      <td>[]</td>\n      <td>12667</td>\n    </tr>\n    <tr>\n      <th>917</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>1</td>\n      <td>ISOCITHASE-CPLX_RXN</td>\n      <td>ISOCITDEH-ENZRXN</td>\n      <td>[MN+2]</td>\n      <td>12315</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>ATOA-CPLX</td>\n      <td>1</td>\n      <td>ATOA-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>ATOD-CPLX</td>\n      <td>1</td>\n      <td>ATOD-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>ATPASE-1-CPLX</td>\n      <td>1</td>\n      <td>ATPASE-1-CPLX_RXN</td>\n      <td>TRANS-ENZRXN-2</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>B2-CPLX</td>\n      <td>1</td>\n      <td>B2-CPLX_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>328</th>\n      <td>CPLX0-3922</td>\n      <td>1</td>\n      <td>CPLX0-3922_RXN</td>\n      <td>None</td>\n      <td>[]</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
+      "text/plain": "                    complex                      combined   counts\n359         ISOCITHASE-CPLX        {'MG+2': 1, 'MN+2': 1}  12315.0\n427   SUPEROX-DISMUTMN-CPLX                   {'MN+2': 1}  10096.0\n399          PHOSGLYCMUTASE  {'23-DIPHOSPHOGLYCERATE': 1}  10058.0\n305            ENOLASE-CPLX                   {'MG+2': 1}   6645.0\n18            ACSERLYA-CPLX    {'PYRIDOXAL_PHOSPHATE': 1}   6269.0\n..                      ...                           ...      ...\n307           ENTMULTI-CPLX                   {'MG+2': 1}      NaN\n321           GCVMULTI-CPLX            {'LIPOIC-ACID': 1}      NaN\n383               NQOR-CPLX                    {'FMN': 1}      NaN\n400  PHOSPHASERDECARB-DIMER              {'CPD0-2654': 1}      NaN\n420          SAMDECARB-CPLX   {'CPD0-2654': 1, 'MG+2': 1}      NaN\n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>combined</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>359</th>\n      <td>ISOCITHASE-CPLX</td>\n      <td>{'MG+2': 1, 'MN+2': 1}</td>\n      <td>12315.0</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>SUPEROX-DISMUTMN-CPLX</td>\n      <td>{'MN+2': 1}</td>\n      <td>10096.0</td>\n    </tr>\n    <tr>\n      <th>399</th>\n      <td>PHOSGLYCMUTASE</td>\n      <td>{'23-DIPHOSPHOGLYCERATE': 1}</td>\n      <td>10058.0</td>\n    </tr>\n    <tr>\n      <th>305</th>\n      <td>ENOLASE-CPLX</td>\n      <td>{'MG+2': 1}</td>\n      <td>6645.0</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>ACSERLYA-CPLX</td>\n      <td>{'PYRIDOXAL_PHOSPHATE': 1}</td>\n      <td>6269.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>307</th>\n      <td>ENTMULTI-CPLX</td>\n      <td>{'MG+2': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>321</th>\n      <td>GCVMULTI-CPLX</td>\n      <td>{'LIPOIC-ACID': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>383</th>\n      <td>NQOR-CPLX</td>\n      <td>{'FMN': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>400</th>\n      <td>PHOSPHASERDECARB-DIMER</td>\n      <td>{'CPD0-2654': 1}</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>420</th>\n      <td>SAMDECARB-CPLX</td>\n      <td>{'CPD0-2654': 1, 'MG+2': 1}</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
      },
-     "execution_count": 177,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1712,34 +1908,71 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:25.837788Z",
-     "start_time": "2023-06-14T21:12:25.831167Z"
+     "end_time": "2023-06-22T19:15:31.092276Z",
+     "start_time": "2023-06-22T19:15:31.090307Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                              complex  \\\n0                               1-PFK   \n1               2OXOGLUTARATEDEH-CPLX   \n2         3-ISOPROPYLMALDEHYDROG-CPLX   \n3             3-ISOPROPYLMALISOM-CPLX   \n4    3-METHYL-2-OXOBUT-OHCH3XFER-CPLX   \n..                                ...   \n442                       UPPSYN-CPLX   \n443         URACIL-PRIBOSYLTRANS-CPLX   \n444                       URPHOS-CPLX   \n445                      XYLISOM-CPLX   \n446                        CPLX0-1382   \n\n                                             combined  counts  \n0                                              [MG+2]    31.0  \n1    [LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]    86.0  \n2                                        [MG+2, MN+2]  1065.0  \n3                                             [CPD-7]  2631.0  \n4                                              [MG+2]   174.0  \n..                                                ...     ...  \n442                                            [MG+2]    56.0  \n443                                            [MG+2]  1068.0  \n444                                              [K+]   176.0  \n445                                [MG+2, MG+2, MN+2]     1.0  \n446                                            [MG+2]     0.0  \n\n[447 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>combined</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>[MG+2]</td>\n      <td>31.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>[LIPOIC-ACID, THIAMINE-PYROPHOSPHATE, FAD, MG+2]</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>[MG+2, MN+2]</td>\n      <td>1065.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>[CPD-7]</td>\n      <td>2631.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>[MG+2]</td>\n      <td>174.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>442</th>\n      <td>UPPSYN-CPLX</td>\n      <td>[MG+2]</td>\n      <td>56.0</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>URACIL-PRIBOSYLTRANS-CPLX</td>\n      <td>[MG+2]</td>\n      <td>1068.0</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>URPHOS-CPLX</td>\n      <td>[K+]</td>\n      <td>176.0</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>XYLISOM-CPLX</td>\n      <td>[MG+2, MG+2, MN+2]</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>CPLX0-1382</td>\n      <td>[MG+2]</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>447 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a new column in complex_df that is a list with each cofactor multiplied by its stoichiometry\n",
+    "\n",
+    "for i in range(len(complex_df.index)):\n",
+    "    cofactor_dict = complex_df.at[i, 'combined']\n",
+    "    cofactor_list = []\n",
+    "\n",
+    "    for cofactor in cofactor_dict:\n",
+    "        for j in range(cofactor_dict[cofactor]):\n",
+    "            cofactor_list.append(cofactor)\n",
+    "\n",
+    "    complex_df.at[i, 'combined'] = cofactor_list\n",
+    "\n",
+    "complex_df\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T19:20:47.535087Z",
+     "start_time": "2023-06-22T19:20:47.532120Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 84,
    "outputs": [
     {
      "data": {
-      "text/plain": "                        counts\ncofactors                     \nMG+2                     55738\nMN+2                     27211\nPYRIDOXAL_PHOSPHATE      24413\nZN+2                     12807\n23-DIPHOSPHOGLYCERATE    10058\nFAD                       8954\nK+                        5157\nCPD-7                     4556\nFE+2                      3256\nTHIAMINE-PYROPHOSPHATE    1868\nNI+2                      1375\nFMN                       1256\nHeme-b                    1025\nCU+2                       817\nHEME_O                     814\nNAD                        730\nCPD-6                      635\nHCO3                       426\nCO+2                       353\nNADP                       253\n3FE-4S                     212\nLIPOIC-ACID                180\nFE+3                       161\nCA+2                       155\nPROTOHEME                  139\nLYS                        116\nFMNH2                      110\nSIROHEME                    98\nFeS-Centers                 76\nAMMONIUM                    52\nCPD-23429                   46\nNADPH                       40\nCPD-15873                   40\nCPD-18260                   23\nCPD-8123                    17\nCPD0-1882                   15\nHEME_D                      13\nHEME_C                      13\nADENOSYLCOBALAMIN            9\nTOPAQUINONE                  3\nCPD0-2654                    0\nCPD-24862                    0\nCPD-17649                    0\nGTP                          0",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>counts</th>\n    </tr>\n    <tr>\n      <th>cofactors</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>MG+2</th>\n      <td>55738</td>\n    </tr>\n    <tr>\n      <th>MN+2</th>\n      <td>27211</td>\n    </tr>\n    <tr>\n      <th>PYRIDOXAL_PHOSPHATE</th>\n      <td>24413</td>\n    </tr>\n    <tr>\n      <th>ZN+2</th>\n      <td>12807</td>\n    </tr>\n    <tr>\n      <th>23-DIPHOSPHOGLYCERATE</th>\n      <td>10058</td>\n    </tr>\n    <tr>\n      <th>FAD</th>\n      <td>8954</td>\n    </tr>\n    <tr>\n      <th>K+</th>\n      <td>5157</td>\n    </tr>\n    <tr>\n      <th>CPD-7</th>\n      <td>4556</td>\n    </tr>\n    <tr>\n      <th>FE+2</th>\n      <td>3256</td>\n    </tr>\n    <tr>\n      <th>THIAMINE-PYROPHOSPHATE</th>\n      <td>1868</td>\n    </tr>\n    <tr>\n      <th>NI+2</th>\n      <td>1375</td>\n    </tr>\n    <tr>\n      <th>FMN</th>\n      <td>1256</td>\n    </tr>\n    <tr>\n      <th>Heme-b</th>\n      <td>1025</td>\n    </tr>\n    <tr>\n      <th>CU+2</th>\n      <td>817</td>\n    </tr>\n    <tr>\n      <th>HEME_O</th>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>NAD</th>\n      <td>730</td>\n    </tr>\n    <tr>\n      <th>CPD-6</th>\n      <td>635</td>\n    </tr>\n    <tr>\n      <th>HCO3</th>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>CO+2</th>\n      <td>353</td>\n    </tr>\n    <tr>\n      <th>NADP</th>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>3FE-4S</th>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>LIPOIC-ACID</th>\n      <td>180</td>\n    </tr>\n    <tr>\n      <th>FE+3</th>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>CA+2</th>\n      <td>155</td>\n    </tr>\n    <tr>\n      <th>PROTOHEME</th>\n      <td>139</td>\n    </tr>\n    <tr>\n      <th>LYS</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>FMNH2</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>SIROHEME</th>\n      <td>98</td>\n    </tr>\n    <tr>\n      <th>FeS-Centers</th>\n      <td>76</td>\n    </tr>\n    <tr>\n      <th>AMMONIUM</th>\n      <td>52</td>\n    </tr>\n    <tr>\n      <th>CPD-23429</th>\n      <td>46</td>\n    </tr>\n    <tr>\n      <th>NADPH</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-15873</th>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>CPD-18260</th>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CPD-8123</th>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>CPD0-1882</th>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>HEME_D</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>HEME_C</th>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>ADENOSYLCOBALAMIN</th>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>TOPAQUINONE</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>CPD0-2654</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-24862</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>CPD-17649</th>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>GTP</th>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                   combined  counts\n0                      MG+2    31.0\n1               LIPOIC-ACID    86.0\n1    THIAMINE-PYROPHOSPHATE    86.0\n1                       FAD    86.0\n1                      MG+2    86.0\n..                      ...     ...\n443                    MG+2  1068.0\n444                      K+   176.0\n445                    MG+2     1.0\n445                    MN+2     1.0\n446                    MG+2     0.0\n\n[613 rows x 2 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>combined</th>\n      <th>counts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>MG+2</td>\n      <td>31.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>LIPOIC-ACID</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>THIAMINE-PYROPHOSPHATE</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>FAD</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>MG+2</td>\n      <td>86.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>443</th>\n      <td>MG+2</td>\n      <td>1068.0</td>\n    </tr>\n    <tr>\n      <th>444</th>\n      <td>K+</td>\n      <td>176.0</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>MG+2</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>445</th>\n      <td>MN+2</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>446</th>\n      <td>MG+2</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>613 rows × 2 columns</p>\n</div>"
      },
-     "execution_count": 179,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "cofactor_df = complex_df[['cofactors', 'counts']].explode('cofactors').groupby('cofactors').sum().sort_values(by='counts', ascending=False)\n",
+    "cofactor_df = complex_df[['combined', 'counts']].explode('combined').groupby('combined').sum().sort_values(by='counts', ascending=False)\n",
     "cofactor_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-14T21:12:43.875673Z",
-     "start_time": "2023-06-14T21:12:43.867800Z"
+     "end_time": "2023-06-22T19:14:54.615960Z",
+     "start_time": "2023-06-22T19:14:54.610137Z"
     }
    }
   },
diff --git a/notebooks/fbagd/metal_binding_uniprot.ipynb b/notebooks/fbagd/metal_binding_uniprot.ipynb
new file mode 100644
index 000000000..6d1a7cd92
--- /dev/null
+++ b/notebooks/fbagd/metal_binding_uniprot.ipynb
@@ -0,0 +1,1287 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import pprint\n",
+    "import ast\n",
+    "import re\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:00:58.604688Z",
+     "start_time": "2023-06-22T23:00:58.566622Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
+    "stoich_series = complexation_rxn_df.loc[:,['id', 'stoichiometry']].dropna().reset_index(drop=True)\n",
+    "\n",
+    "stoich_list = []\n",
+    "for i, stoich in enumerate(stoich_series.loc[:, 'stoichiometry']):\n",
+    "\n",
+    "    stoich = stoich.replace('null', '-1')\n",
+    "\n",
+    "    stoich = ast.literal_eval(stoich)\n",
+    "    for k,v in stoich.items():\n",
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None, None])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:00:58.634337Z",
+     "start_time": "2023-06-22T23:00:58.606119Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                    complex  stoichiometry                   reaction  \\\n0                     1-PFK              1                  1-PFK_RXN   \n1             1-PFK-MONOMER             -2                  1-PFK_RXN   \n2     2OXOGLUTARATEDEH-CPLX              1  2OXOGLUTARATEDEH-CPLX_RXN   \n3                       E1O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n4                       E2O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n...                     ...            ...                        ...   \n2811                FFS-RNA             -1               SRP-CPLX_RXN   \n2812          CPLX0-7796APO              1          CPLX0-7796APO_RXN   \n2813                PD04032             -2          CPLX0-7796APO_RXN   \n2814              ARCB-CPLX              1              ARCB-CPLX_RXN   \n2815           ARCB-MONOMER             -2              ARCB-CPLX_RXN   \n\n     enzyme-reaction cofactors metal_binding  \n0               None      None          None  \n1               None      None          None  \n2               None      None          None  \n3               None      None          None  \n4               None      None          None  \n...              ...       ...           ...  \n2811            None      None          None  \n2812            None      None          None  \n2813            None      None          None  \n2814            None      None          None  \n2815            None      None          None  \n\n[2816 rows x 6 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>-2</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E1O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E2O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2811</th>\n      <td>FFS-RNA</td>\n      <td>-1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2812</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2813</th>\n      <td>PD04032</td>\n      <td>-2</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2814</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2815</th>\n      <td>ARCB-MONOMER</td>\n      <td>-2</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>2816 rows × 6 columns</p>\n</div>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors', 'metal_binding'])\n",
+    "pre_complex_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:01:19.604470Z",
+     "start_time": "2023-06-22T23:01:19.599129Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "'int' object is not iterable",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
+      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_89907/3715509847.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      1\u001B[0m \u001B[0;31m# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 2\u001B[0;31m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mlen\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mindex\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      3\u001B[0m     \u001B[0mcomplex\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'complex'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m     \u001B[0mreq_str\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34mf'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
+      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
+     ]
+    }
+   ],
+   "source": [
+    "# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\n",
+    "for i in len(pre_complex_df.index):\n",
+    "    complex = pre_complex_df.loc[i, 'complex']\n",
+    "    req_str = f'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    o = xmltodict.parse(r.content)\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:25:26.706122Z",
+     "start_time": "2023-06-22T23:25:26.586031Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Get the monomers of a complex"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:13:53.550880Z",
+     "start_time": "2023-06-22T23:13:53.205788Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'@ID': 'ECOLI:LEUC-MONOMER',\n",
+      " '@detail': 'full',\n",
+      " '@frameid': 'LEUC-MONOMER',\n",
+      " '@orgid': 'ECOLI',\n",
+      " 'citation': [{'Publication': {'@ID': 'ECOLI:PUB-320178',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-320178',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Davis MG',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Calvo JM',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '320178',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'J Bacteriol 129(2);1078-90',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'Isolation and '\n",
+      "                                                  'characterization of lambda '\n",
+      "                                                  'pleu bacteriophages.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '1977',\n",
+      "                                        '@datatype': 'integer'}}},\n",
+      "              {'Publication': {'@ID': 'ECOLI:PUB-15657047',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-15657047',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Yang CR',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Shapiro BE',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Hung SP',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Mjolsness ED',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Hatfield GW',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '15657047',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'J Biol Chem '\n",
+      "                                                   '280(12);11224-32',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'A mathematical model for '\n",
+      "                                                  'the branched chain amino '\n",
+      "                                                  'acid biosynthetic pathways '\n",
+      "                                                  'of Escherichia coli K12.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '2005',\n",
+      "                                        '@datatype': 'integer'}}},\n",
+      "              {'Publication': {'@ID': 'ECOLI:PUB-28637476',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-28637476',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Parimi NS',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Durie IA',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Wu X',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Niyas AMM',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Eiteman MA',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '28637476',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'Microb Cell Fact 16(1);114',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'Eliminating acetate '\n",
+      "                                                  'formation improves '\n",
+      "                                                  'citramalate production by '\n",
+      "                                                  'metabolically engineered '\n",
+      "                                                  'Escherichia coli.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '2017',\n",
+      "                                        '@datatype': 'integer'}}},\n",
+      "              {'Publication': {'@ID': 'ECOLI:PUB-28744578',\n",
+      "                               '@detail': 'full',\n",
+      "                               '@frameid': 'PUB-28744578',\n",
+      "                               '@orgid': 'ECOLI',\n",
+      "                               'author': [{'#text': 'Wu X',\n",
+      "                                           '@datatype': 'string'},\n",
+      "                                          {'#text': 'Eiteman MA',\n",
+      "                                           '@datatype': 'string'}],\n",
+      "                               'pubmed-id': {'#text': '28744578',\n",
+      "                                             '@datatype': 'string'},\n",
+      "                               'source': {'#text': 'J Ind Microbiol Biotechnol '\n",
+      "                                                   '44(10);1483-1490',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                               'title': {'#text': 'Synthesis of citramalic '\n",
+      "                                                  'acid from glycerol by '\n",
+      "                                                  'metabolically engineered '\n",
+      "                                                  'Escherichia coli.',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                               'year': {'#text': '2017',\n",
+      "                                        '@datatype': 'integer'}}}],\n",
+      " 'comment': {'#text': 'Isopropylmalate (IPM) isomerase catalyzes the second '\n",
+      "                      'step in leucine biosynthesis, converting '\n",
+      "                      '2-isopropylmalate to 3-isopropylmalate. LeuC and LeuD '\n",
+      "                      'are both required for the activity of IPM isomerase [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/4587614\">Yang74</a>, '\n",
+      "                      '<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/23636690\">Carlsen13</a>]. \\n'\n",
+      "                      '<p>\\n'\n",
+      "                      'Based on the IPM isomerase in <i>Salmonella '\n",
+      "                      'typhimurium</i> and cross-species complementation '\n",
+      "                      'studies with the <i>Salmonella</i> [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/7026530\">Fultz81</a>, '\n",
+      "                      '<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/374346\">Fultz79</a>] '\n",
+      "                      'and <i>S. cerevisiae</i> [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/23636690\">Carlsen13</a>] '\n",
+      "                      'enzymes, <i>E. coli</i> IPM isomerase is likely to be a '\n",
+      "                      'protein complex consisting of a 1:1 pairing of the of '\n",
+      "                      '<i>leuC</i> and <i>leuD</i> gene products [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/7026530\">Fultz81</a>, '\n",
+      "                      '<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/374346\">Fultz79</a>].\\n'\n",
+      "                      '<p>\\n'\n",
+      "                      'LeuC protein levels are increased in a '\n",
+      "                      'threonine-overproducing mutant [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/15104539\">Kim04</a>]; '\n",
+      "                      'LeuC leves are decreased after 30 minutes of excess '\n",
+      "                      'zinc stress [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/17122063\">Easton06</a>].\\n'\n",
+      "                      '<p>\\n'\n",
+      "                      '<i>leuC</i> insertion mutants, which cause leucine '\n",
+      "                      'auxotrophy, lead to increased antibiotic tolerance in '\n",
+      "                      'biofilms under leucine starvation conditions [<a '\n",
+      "                      'href=\"http://www.ncbi.nlm.nih.gov/pubmed/23300476\">Bernier13</a>].',\n",
+      "             '@datatype': 'string'},\n",
+      " 'common-name': {'#text': '3-isopropylmalate dehydratase subunit LeuC',\n",
+      "                 '@datatype': 'string'},\n",
+      " 'component-of': {'Protein': {'@frameid': '3-ISOPROPYLMALISOM-CPLX',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:3-ISOPROPYLMALISOM-CPLX'}},\n",
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+      "             'dblink-db': 'PRINTS',\n",
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+      "             'dblink-db': 'PRODB',\n",
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+      "             'dblink-db': 'ECOLIWIKI',\n",
+      "             'dblink-oid': 'b0072',\n",
+      "             'dblink-relationship': 'unification'},\n",
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+      "             'dblink-db': 'UNIPROT',\n",
+      "             'dblink-oid': 'P0A6A6',\n",
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+      "             'dblink-db': 'REFSEQ',\n",
+      "             'dblink-oid': 'NP_414614',\n",
+      "             'dblink-relationship': 'unification'}],\n",
+      " 'gene': {'Gene': {'@frameid': 'EG11576',\n",
+      "                   '@orgid': 'ECOLI',\n",
+      "                   '@resource': 'getxml?ECOLI:EG11576'}},\n",
+      " 'has-feature': [{'Feature': {'@ID': 'ECOLI:FTR0-1602312',\n",
+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1602312',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'accession-1': {'#text': 'PF00330.23',\n",
+      "                                              '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
+      "                                                             '@class': 'true',\n",
+      "                                                             '@detail': 'full',\n",
+      "                                                             '@frameid': 'EV-COMP-AINF',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'computationally '\n",
+      "                                                                                      'without '\n",
+      "                                                                                      'human '\n",
+      "                                                                                      'oversight',\n",
+      "                                                                             '@datatype': 'string'},\n",
+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
+      "                                                           '@detail': 'full',\n",
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+      "                                                           'author': [...],\n",
+      "                                                           'pubmed-id': {...},\n",
+      "                                                           'source': {...},\n",
+      "                                                           'title': {...},\n",
+      "                                                           'year': {...}}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '7',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Pfam-Features',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
+      "                              'right-end-position': {'#text': '457',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
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+      "                              '@frameid': 'FTR0-1589756',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'alternate-sequence': {'#text': 'G',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                              'comment': {'#text': 'UniProt: In Ref. 5; '\n",
+      "                                                   'BAA21004/BAA21005..',\n",
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+      "                              'evidence': [{'Evidence-Code': {...},\n",
+      "                                            'Publication': {...}},\n",
+      "                                           {'Evidence-Code': {...},\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '74',\n",
+      "                                                    '@datatype': 'integer'},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Sequence-Conflicts',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Sequence-Conflicts'}},\n",
+      "                              'right-end-position': {'#text': '74',\n",
+      "                                                     '@datatype': 'integer'}}},\n",
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+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1589755',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron-sulfur '\n",
+      "                                                   '(4Fe-4S).',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-HINF-ISM',\n",
+      "                                                             '@class': 'true',\n",
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+      "                                                             'comment': {...},\n",
+      "                                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                                      'from '\n",
+      "                                                                                      'Sequence '\n",
+      "                                                                                      'Model',\n",
+      "                                                                             '@datatype': 'string'},\n",
+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
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+      "                              'residue-number': {'#text': '410',\n",
+      "                                                 '@datatype': 'integer'}}},\n",
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+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1589754',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron-sulfur '\n",
+      "                                                   '(4Fe-4S).',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-COMP-HINF-ISM',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             '@resource': '#ECOLI:EV-COMP-HINF-ISM'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
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+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Metal-Binding-Sites',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Metal-Binding-Sites'}},\n",
+      "                              'residue-number': {'#text': '407',\n",
+      "                                                 '@datatype': 'integer'}}},\n",
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+      "                              '@detail': 'full',\n",
+      "                              '@frameid': 'FTR0-1589753',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Iron-sulfur '\n",
+      "                                                   '(4Fe-4S).',\n",
+      "                                          '@datatype': 'string'},\n",
+      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                             '@frameid': 'EV-COMP-HINF-ISM',\n",
+      "                                                             '@orgid': 'ECOLI',\n",
+      "                                                             '@resource': '#ECOLI:EV-COMP-HINF-ISM'},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                                           '@orgid': 'ECOLI',\n",
+      "                                                           '@resource': '#ECOLI:PUB-UNIPROT-2021-03'}},\n",
+      "                              'feature-of': {'Protein': {'@frameid': 'LEUC-MONOMER',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Metal-Binding-Sites',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Metal-Binding-Sites'}},\n",
+      "                              'residue-number': {'#text': '347',\n",
+      "                                                 '@datatype': 'integer'}}},\n",
+      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1589752',\n",
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+      "                              '@frameid': 'FTR0-1589752',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: 3-isopropylmalate '\n",
+      "                                                   'dehydratase large subunit.',\n",
+      "                                          '@datatype': 'string'},\n",
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+      "                                                             '@orgid': 'ECOLI',\n",
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+      "                                                             'parent': {...}},\n",
+      "                                           'Publication': {'@frameid': 'PUB-UNIPROT-2021-03',\n",
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+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'left-end-position': {'#text': '2',\n",
+      "                                                    '@datatype': 'integer'},\n",
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+      "                                                     '@frameid': 'Chains',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              'comment': {'#text': 'UniProt: Removed.',\n",
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+      "                                           {'Evidence-Code': {...},\n",
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+      "                                           {'Evidence-Code': {...},\n",
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+      "                                                         '@resource': '#ECOLI:LEUC-MONOMER'}},\n",
+      "                              'parent': {'Feature': {'@class': 'true',\n",
+      "                                                     '@frameid': 'Cleavage-of-Initial-Methionine',\n",
+      "                                                     '@orgid': 'ECOLI',\n",
+      "                                                     '@resource': 'getxml?ECOLI:Cleavage-of-Initial-Methionine'}},\n",
+      "                              'residue-number': {'#text': '1',\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
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+      "                                               'author': {'#text': 'UniProt',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Electronic '\n",
+      "                                                                  'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotations '\n",
+      "                                                                  'created by '\n",
+      "                                                                  'ARBA '\n",
+      "                                                                  'machine '\n",
+      "                                                                  'learning '\n",
+      "                                                                  'models',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
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+      "                               'with': {'#text': 'ARBA\\\\:ARBA00027279',\n",
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+      "                                                 '@frameid': 'EV-EXP-IPI',\n",
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+      "                                                                      'inferred '\n",
+      "                                                                      'from '\n",
+      "                                                                      'physical '\n",
+      "                                                                      'interaction\\n'\n",
+      "                                                                      '\\n'\n",
+      "                                                                      '<br>\\n'\n",
+      "                                                                      'The '\n",
+      "                                                                      'assertion '\n",
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+      "                                                                      '<ul>\\n'\n",
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+      "                                                                      '2-hybrid '\n",
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+      "                                                                      '    '\n",
+      "                                                                      '<li> '\n",
+      "                                                                      'Co-purification\\n'\n",
+      "                                                                      '    '\n",
+      "                                                                      '<li> '\n",
+      "                                                                      'Co-immunoprecipitation\\n'\n",
+      "                                                                      '    '\n",
+      "                                                                      '<li> '\n",
+      "                                                                      'Ion/protein '\n",
+      "                                                                      'binding '\n",
+      "                                                                      'experiments\\n'\n",
+      "                                                                      '</ul><p '\n",
+      "                                                                      'class=ecocomment>\\n'\n",
+      "                                                                      'This '\n",
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+      "                                                                      'interest '\n",
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+      "                                                                      'molecule '\n",
+      "                                                                      '(or '\n",
+      "                                                                      'ion, or '\n",
+      "                                                                      'complex). '\n",
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+      "                                                                      'protein '\n",
+      "                                                                      'binding '\n",
+      "                                                                      'or '\n",
+      "                                                                      'nucleic '\n",
+      "                                                                      'acid '\n",
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+      "                                                                      'binding '\n",
+      "                                                                      'assay '\n",
+      "                                                                      'is\\n'\n",
+      "                                                                      'simultaneously '\n",
+      "                                                                      'IPI and '\n",
+      "                                                                      'IDA; '\n",
+      "                                                                      'IDA is '\n",
+      "                                                                      'preferred '\n",
+      "                                                                      'because '\n",
+      "                                                                      'the '\n",
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+      "                                                                      'directly '\n",
+      "                                                                      'detects '\n",
+      "                                                                      'the '\n",
+      "                                                                      'binding. '\n",
+      "                                                                      'For '\n",
+      "                                                                      'both '\n",
+      "                                                                      'IPI and '\n",
+      "                                                                      'IGI, it '\n",
+      "                                                                      'would '\n",
+      "                                                                      'be '\n",
+      "                                                                      'good\\n'\n",
+      "                                                                      'practice '\n",
+      "                                                                      'to '\n",
+      "                                                                      'qualify '\n",
+      "                                                                      'them '\n",
+      "                                                                      'with '\n",
+      "                                                                      'the '\n",
+      "                                                                      'gene/protein/ion.',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                                 'common-name': {'#text': 'Inferred '\n",
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+      "                                                                          'physical '\n",
+      "                                                                          'interaction',\n",
+      "                                                                 '@datatype': 'string'},\n",
+      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                              '@frameid': 'EV-EXP',\n",
+      "                                                                              '@orgid': 'ECOLI',\n",
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+      "                                                          {...},\n",
+      "                                                          {...}],\n",
+      "                                               'pubmed-id': {'#text': '24561554',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                               'source': {'#text': 'Nat '\n",
+      "                                                                   'Biotechnol '\n",
+      "                                                                   '32(3);285-90',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'The binary '\n",
+      "                                                                  'protein-protein '\n",
+      "                                                                  'interaction '\n",
+      "                                                                  'landscape '\n",
+      "                                                                  'of '\n",
+      "                                                                  'Escherichia '\n",
+      "                                                                  'coli.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2014',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'#text': 'UniProtKB\\\\:P30126',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0016829',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0016829'},\n",
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+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               'author': {'#text': 'UniProt-GOA',\n",
+      "                                                          '@datatype': 'string'},\n",
+      "                                               'title': {'#text': 'Gene '\n",
+      "                                                                  'Ontology '\n",
+      "                                                                  'annotation '\n",
+      "                                                                  'based on '\n",
+      "                                                                  'UniProtKB/Swiss-Prot '\n",
+      "                                                                  'keyword '\n",
+      "                                                                  'mapping, '\n",
+      "                                                                  'accompanied '\n",
+      "                                                                  'by '\n",
+      "                                                                  'conservative '\n",
+      "                                                                  'changes to '\n",
+      "                                                                  'GO terms '\n",
+      "                                                                  'applied by '\n",
+      "                                                                  'UniProt.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
+      "                                                       '@datatype': 'string'},\n",
+      "                                               'year': {'#text': '2012',\n",
+      "                                                        '@datatype': 'integer'}},\n",
+      "                               'with': {'#text': 'SP_KW\\\\:KW-0456',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0009082'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                               'with': {'#text': 'SP_KW\\\\:KW-0100',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
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+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                               'with': {'#text': 'SP_KW\\\\:KW-0028',\n",
+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
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+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0051536'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                               'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                               '@orgid': 'ECOLI',\n",
+      "                                               '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
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+      "                              '@resource': 'getxml?ECOLI:GO:0046872'},\n",
+      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                 '@frameid': 'EV-COMP-AINF',\n",
+      "                                                 '@orgid': 'ECOLI',\n",
+      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                               '@orgid': 'ECOLI',\n",
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+      "                                        '@datatype': 'string'}}},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0003861',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0003861'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'InterPro\\\\:IPR004430|InterPro\\\\:IPR033941',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                '@frameid': 'PUB-GO_REF-0000003',\n",
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+      "                                'with': {'#text': 'EC\\\\:4.2.1.33',\n",
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+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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+      "                                                '@frameid': 'PUB-GO_REF-0000116',\n",
+      "                                                '@orgid': 'ECOLI',\n",
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+      "                                                'title': {...},\n",
+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'RHEA\\\\:32287',\n",
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+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000104',\n",
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+      "                                                '@frameid': 'PUB-GO_REF-0000104',\n",
+      "                                                '@orgid': 'ECOLI',\n",
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+      "                                                'title': {...},\n",
+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'UniRule\\\\:UR000100515',\n",
+      "                                         '@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0009316',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0009316'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-AS-NAS',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-AS-NAS'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-4587614',\n",
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+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IGI-FUNC-COMPLEMENTATION',\n",
+      "                                                  '@class': 'true',\n",
+      "                                                  '@detail': 'full',\n",
+      "                                                  '@frameid': 'EV-EXP-IGI-FUNC-COMPLEMENTATION',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  'comment': {...},\n",
+      "                                                  'common-name': {...},\n",
+      "                                                  'parent': {...}},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-374346',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-374346',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-EXP-IGI-FUNC-COMPLEMENTATION',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-EXP-IGI-FUNC-COMPLEMENTATION'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-23636690',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-23636690',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0005829',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0005829'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IDA',\n",
+      "                                                  '@class': 'true',\n",
+      "                                                  '@detail': 'full',\n",
+      "                                                  '@frameid': 'EV-EXP-IDA',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  'comment': {...},\n",
+      "                                                  'common-name': {...},\n",
+      "                                                  'parent': {...}},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-15911532',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-15911532',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-EXP-IDA',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-EXP-IDA'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-18304323',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-18304323',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-19054114',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-19054114',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0051539',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0051539'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000002',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000002'},\n",
+      "                                'with': {'#text': 'InterPro\\\\:IPR004430',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                                'with': {'#text': 'SP_KW\\\\:KW-0004',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-IC',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-IC'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-17102132',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-17102132',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]},\n",
+      "                 {'GO-Term': {'@class': 'true',\n",
+      "                              '@frameid': 'GO:0009098',\n",
+      "                              '@orgid': 'ECOLI',\n",
+      "                              '@resource': 'getxml?ECOLI:GO:0009098'},\n",
+      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-AS-NAS',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-AS-NAS'},\n",
+      "                                'Publication': {'@frameid': 'PUB-4587614',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-4587614'},\n",
+      "                                'with': {'@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000002',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000002'},\n",
+      "                                'with': {'#text': 'InterPro\\\\:IPR004430',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000043',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000043'},\n",
+      "                                'with': {'#text': 'SP_KW\\\\:KW-0432',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@frameid': 'PUB-GO_REF-0000104',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                '@resource': '#ECOLI:PUB-GO_REF-0000104'},\n",
+      "                                'with': {'#text': 'UniRule\\\\:UR000100515',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@class': 'true',\n",
+      "                                                  '@frameid': 'EV-COMP-AINF',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000041',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-GO_REF-0000041',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'url': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'#text': 'UniPathway\\\\:UPA00048',\n",
+      "                                         '@datatype': 'string'}},\n",
+      "                               {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IMP',\n",
+      "                                                  '@class': 'true',\n",
+      "                                                  '@detail': 'full',\n",
+      "                                                  '@frameid': 'EV-EXP-IMP',\n",
+      "                                                  '@orgid': 'ECOLI',\n",
+      "                                                  'comment': {...},\n",
+      "                                                  'common-name': {...},\n",
+      "                                                  'parent': {...}},\n",
+      "                                'Publication': {'@ID': 'ECOLI:PUB-4570778',\n",
+      "                                                '@detail': 'full',\n",
+      "                                                '@frameid': 'PUB-4570778',\n",
+      "                                                '@orgid': 'ECOLI',\n",
+      "                                                'author': [...],\n",
+      "                                                'pubmed-id': {...},\n",
+      "                                                'source': {...},\n",
+      "                                                'title': {...},\n",
+      "                                                'year': {...}},\n",
+      "                                'with': {'@datatype': 'string'}}]}],\n",
+      " 'location': {'cco': {'@frameid': 'CCI-CYTOSOL-GN',\n",
+      "                      '@orgid': 'ECOLI',\n",
+      "                      '@resource': 'getxml?ECOLI:CCI-CYTOSOL-GN'}},\n",
+      " 'molecular-weight-seq': {'#text': '49.882',\n",
+      "                          '@datatype': 'float',\n",
+      "                          '@units': 'kD'},\n",
+      " 'parent': {'Protein': {'@class': 'true',\n",
+      "                        '@frameid': 'Polypeptides',\n",
+      "                        '@orgid': 'ECOLI',\n",
+      "                        '@resource': 'getxml?ECOLI:Polypeptides'}},\n",
+      " 'synonym': [{'#text': 'LeuC', '@datatype': 'string'},\n",
+      "             {'#text': '3-isopropylmalate dehydratase, large subunit',\n",
+      "              '@datatype': 'string'}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "complex = 'LEUC-MONOMER'\n",
+    "\n",
+    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=high'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "pp.pprint(o)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:23:23.482562Z",
+     "start_time": "2023-06-22T23:23:22.940684Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'ptools-xml': {'@ptools-version': '27.0',\n",
+      "                '@xml:base': 'http://BioCyc.org/apixml?fn=monomers-of-protein%26id=ECOLI:LEUC-MONOMER%26detail=LOW',\n",
+      "                'Protein': {'@ID': 'ECOLI:LEUC-MONOMER',\n",
+      "                            '@detail': 'low',\n",
+      "                            '@frameid': 'LEUC-MONOMER',\n",
+      "                            '@orgid': 'ECOLI',\n",
+      "                            'common-name': {'#text': '3-isopropylmalate '\n",
+      "                                                     'dehydratase subunit LeuC',\n",
+      "                                            '@datatype': 'string'},\n",
+      "                            'component-of': {'Protein': {'@frameid': '3-ISOPROPYLMALISOM-CPLX',\n",
+      "                                                         '@orgid': 'ECOLI',\n",
+      "                                                         '@resource': 'getxml?ECOLI:3-ISOPROPYLMALISOM-CPLX'}},\n",
+      "                            'gene': {'Gene': {'@frameid': 'EG11576',\n",
+      "                                              '@orgid': 'ECOLI',\n",
+      "                                              '@resource': 'getxml?ECOLI:EG11576'}},\n",
+      "                            'parent': {'Protein': {'@class': 'true',\n",
+      "                                                   '@frameid': 'Polypeptides',\n",
+      "                                                   '@orgid': 'ECOLI',\n",
+      "                                                   '@resource': 'getxml?ECOLI:Polypeptides'}},\n",
+      "                            'synonym': [{'#text': 'LeuC',\n",
+      "                                         '@datatype': 'string'},\n",
+      "                                        {'#text': '3-isopropylmalate '\n",
+      "                                                  'dehydratase, large subunit',\n",
+      "                                         '@datatype': 'string'}]},\n",
+      "                'metadata': {'PGDB': {'@orgid': 'ECOLI',\n",
+      "                                      '@version': '27.0',\n",
+      "                                      'species': {'#text': 'Escherichia coli',\n",
+      "                                                  '@datatype': 'string'},\n",
+      "                                      'strain': {'#text': 'K-12 substr. MG1655',\n",
+      "                                                 '@datatype': 'string'}},\n",
+      "                             'num_results': '1',\n",
+      "                             'query': 'fn=monomers-of-protein&id=ECOLI:LEUC-MONOMER&detail=LOW',\n",
+      "                             'service_name': 'apixml',\n",
+      "                             'url': 'http://BioCyc.org/'}}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "req_str = 'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:LEUC-MONOMER&detail=low'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)\n",
+    "pp.pprint(o)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-22T23:23:36.442761Z",
+     "start_time": "2023-06-22T23:23:36.387445Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

From 2887162c0c2b1c09ef41c32309577c44b08b8e6c Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:47:07 -0700
Subject: [PATCH 29/58] Small changes.

---
 notebooks/fbagd/metal_binding.ipynb         | 1145 +------------------
 notebooks/fbagd/metal_binding_new.ipynb     |  589 ++++++++++
 notebooks/fbagd/metal_binding_uniprot.ipynb | 1060 ++++++++++++++++-
 notebooks/fbagd/test_environments_new.ipynb |  132 +--
 4 files changed, 1713 insertions(+), 1213 deletions(-)
 create mode 100644 notebooks/fbagd/metal_binding_new.ipynb

diff --git a/notebooks/fbagd/metal_binding.ipynb b/notebooks/fbagd/metal_binding.ipynb
index 5fc907dfe..486c61c3e 100644
--- a/notebooks/fbagd/metal_binding.ipynb
+++ b/notebooks/fbagd/metal_binding.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 113,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:34.828405Z",
-     "start_time": "2023-06-21T17:26:34.820533Z"
+     "end_time": "2023-06-24T00:11:31.734198Z",
+     "start_time": "2023-06-24T00:11:31.728052Z"
     }
    },
    "outputs": [],
@@ -20,19 +20,19 @@
     "import pprint\n",
     "import ast\n",
     "import re\n",
-    "pp = pprint.PrettyPrinter(depth=6)\n",
-    "\n",
-    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
-    "\n",
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
     "import requests\n",
-    "import xmltodict"
+    "import xmltodict\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 114,
    "outputs": [],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
@@ -50,21 +50,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:35.003794Z",
-     "start_time": "2023-06-21T17:26:34.947321Z"
+     "end_time": "2023-06-24T00:11:36.003825Z",
+     "start_time": "2023-06-24T00:11:35.970943Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 115,
    "outputs": [
     {
      "data": {
       "text/plain": "                               complex  stoichiometry  \\\n0                                1-PFK              1   \n1                2OXOGLUTARATEDEH-CPLX              1   \n2          3-ISOPROPYLMALDEHYDROG-CPLX              1   \n3              3-ISOPROPYLMALISOM-CPLX              1   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX              1   \n...                                ...            ...   \n1096                        CPLX0-8053              1   \n1097                        CPLX0-8253              1   \n1098                          SRP-CPLX              1   \n1099                     CPLX0-7796APO              1   \n1100                         ARCB-CPLX              1   \n\n                                  reaction enzyme-reaction cofactors  \\\n0                                1-PFK_RXN            None      None   \n1                2OXOGLUTARATEDEH-CPLX_RXN            None      None   \n2          3-ISOPROPYLMALDEHYDROG-CPLX_RXN            None      None   \n3              3-ISOPROPYLMALISOM-CPLX_RXN            None      None   \n4     3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN            None      None   \n...                                    ...             ...       ...   \n1096                        CPLX0-8053_RXN            None      None   \n1097                        CPLX0-8253_RXN            None      None   \n1098                          SRP-CPLX_RXN            None      None   \n1099                     CPLX0-7796APO_RXN            None      None   \n1100                         ARCB-CPLX_RXN            None      None   \n\n     metal_binding  \n0             None  \n1             None  \n2             None  \n3             None  \n4             None  \n...            ...  \n1096          None  \n1097          None  \n1098          None  \n1099          None  \n1100          None  \n\n[1101 rows x 6 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALDEHYDROG-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3-ISOPROPYLMALISOM-CPLX</td>\n      <td>1</td>\n      <td>3-ISOPROPYLMALISOM-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX</td>\n      <td>1</td>\n      <td>3-METHYL-2-OXOBUT-OHCH3XFER-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1096</th>\n      <td>CPLX0-8053</td>\n      <td>1</td>\n      <td>CPLX0-8053_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1097</th>\n      <td>CPLX0-8253</td>\n      <td>1</td>\n      <td>CPLX0-8253_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1098</th>\n      <td>SRP-CPLX</td>\n      <td>1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1099</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1100</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>1101 rows × 6 columns</p>\n</div>"
      },
-     "execution_count": 24,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -77,8 +77,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:35.258113Z",
-     "start_time": "2023-06-21T17:26:35.234284Z"
+     "end_time": "2023-06-24T00:11:36.157834Z",
+     "start_time": "2023-06-24T00:11:36.151859Z"
     }
    }
   },
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 116,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 25,
+     "execution_count": 116,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,1109 +112,53 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:35.823687Z",
-     "start_time": "2023-06-21T17:26:35.545396Z"
+     "end_time": "2023-06-24T00:11:37.445849Z",
+     "start_time": "2023-06-24T00:11:37.195264Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 124,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'@ID': 'ECOLI:EG12132-MONOMER',\n",
-      " '@detail': 'full',\n",
-      " '@frameid': 'EG12132-MONOMER',\n",
-      " '@orgid': 'ECOLI',\n",
-      " 'common-name': {'#text': 'iron-sulfur cluster insertion protein IscA',\n",
-      "                 '@datatype': 'string'},\n",
-      " 'component-of': {'Protein': {'@frameid': 'CPLX0-7908',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:CPLX0-7908'}},\n",
-      " 'dblink': [{'dblink-URL': 'https://alphafold.ebi.ac.uk/entry/P0AAC8',\n",
-      "             'dblink-db': 'ALPHAFOLD',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR035903',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR035903',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'https://www.ebi.ac.uk/interpro/entry/pfam/PF01521',\n",
-      "             'dblink-db': 'PFAM',\n",
-      "             'dblink-oid': 'PF01521',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'https://swissmodel.expasy.org/repository/uniprot/P0AAC8',\n",
-      "             'dblink-db': 'SMR',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://dip.doe-mbi.ucla.edu/dip/Browse.cgi?ID=DIP-35854N',\n",
-      "             'dblink-db': 'DIP',\n",
-      "             'dblink-oid': 'DIP-35854N',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR011302',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR011302',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR017870',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR017870',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR016092',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR016092',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/interpro/entry/IPR000361',\n",
-      "             'dblink-db': 'INTERPRO',\n",
-      "             'dblink-oid': 'IPR000361',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://prosite.expasy.org/cgi-bin/prosite/nicedoc.pl?PS01152',\n",
-      "             'dblink-db': 'PROSITE',\n",
-      "             'dblink-oid': 'PS01152',\n",
-      "             'dblink-relationship': 'IN-FAMILY'},\n",
-      "            {'dblink-URL': 'http://www.ebi.ac.uk/pride/searchSummary.do?queryTypeSelected=identification%20accession%20number&identificationAccessionNumber=P0AAC8',\n",
-      "             'dblink-db': 'PRIDE',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R94',\n",
-      "             'dblink-db': 'PDB',\n",
-      "             'dblink-oid': '1R94',\n",
-      "             'dblink-relationship': 'Structure'},\n",
-      "            {'dblink-URL': 'http://www.rcsb.org/structure/1R95',\n",
-      "             'dblink-db': 'PDB',\n",
-      "             'dblink-oid': '1R95',\n",
-      "             'dblink-relationship': 'Structure'},\n",
-      "            {'dblink-URL': 'http://www.rcsb.org/structure/1S98',\n",
-      "             'dblink-db': 'PDB',\n",
-      "             'dblink-oid': '1S98',\n",
-      "             'dblink-relationship': 'Structure'},\n",
-      "            {'dblink-URL': 'http://pir.georgetown.edu/cgi-bin/pro/entry_pro?id=PRO_000023031',\n",
-      "             'dblink-db': 'PRODB',\n",
-      "             'dblink-oid': 'PRO_000023031',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://ecoliwiki.org/colipedia/index.php/b2528',\n",
-      "             'dblink-db': 'ECOLIWIKI',\n",
-      "             'dblink-oid': 'b2528',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://modbase.compbio.ucsf.edu/modbase-cgi/model_search.cgi?searchkw=name&kword=P0AAC8',\n",
-      "             'dblink-db': 'MODBASE',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'https://www.uniprot.org/uniprot/P0AAC8',\n",
-      "             'dblink-db': 'UNIPROT',\n",
-      "             'dblink-oid': 'P0AAC8',\n",
-      "             'dblink-relationship': 'unification'},\n",
-      "            {'dblink-URL': 'http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?val=NP_417023',\n",
-      "             'dblink-db': 'REFSEQ',\n",
-      "             'dblink-oid': 'NP_417023',\n",
-      "             'dblink-relationship': 'unification'}],\n",
-      " 'gene': {'Gene': {'@frameid': 'EG12132',\n",
-      "                   '@orgid': 'ECOLI',\n",
-      "                   '@resource': 'getxml?ECOLI:EG12132'}},\n",
-      " 'has-feature': [{'Feature': {'@ID': 'ECOLI:FTR0-1606180',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1606180',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'accession-1': {'#text': 'PF01521.23',\n",
-      "                                              '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
-      "                                                             '@class': 'true',\n",
-      "                                                             '@detail': 'full',\n",
-      "                                                             '@frameid': 'EV-COMP-AINF',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             'comment': {...},\n",
-      "                                                             'common-name': {'#text': 'Inferred '\n",
-      "                                                                                      'computationally '\n",
-      "                                                                                      'without '\n",
-      "                                                                                      'human '\n",
-      "                                                                                      'oversight',\n",
-      "                                                                             '@datatype': 'string'},\n",
-      "                                                             'parent': {...}},\n",
-      "                                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
-      "                                                           '@detail': 'full',\n",
-      "                                                           '@frameid': 'PUB-26673716',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           'author': [...],\n",
-      "                                                           'pubmed-id': {...},\n",
-      "                                                           'source': {...},\n",
-      "                                                           'title': {...},\n",
-      "                                                           'year': {...}}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '1',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Pfam-Features',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
-      "                              'right-end-position': {'#text': '103',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586499',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586499',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'alternate-sequence': {'#text': 'S',\n",
-      "                                                     '@datatype': 'string'},\n",
-      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
-      "                                                   'binding activity..',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP',\n",
-      "                                                             '@class': 'true',\n",
-      "                                                             '@detail': 'full',\n",
-      "                                                             '@frameid': 'EV-EXP',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             'comment': {...},\n",
-      "                                                             'common-name': {'#text': 'Inferred '\n",
-      "                                                                                      'from '\n",
-      "                                                                                      'experiment',\n",
-      "                                                                             '@datatype': 'string'}},\n",
-      "                                           'Publication': {'@ID': 'ECOLI:PUB-15247288',\n",
-      "                                                           '@detail': 'full',\n",
-      "                                                           '@frameid': 'PUB-15247288',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           'author': [...],\n",
-      "                                                           'pubmed-id': {...},\n",
-      "                                                           'source': {...},\n",
-      "                                                           'title': {...},\n",
-      "                                                           'year': {...}}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '101',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
-      "                              'right-end-position': {'#text': '101',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586498',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586498',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'alternate-sequence': {'#text': 'S',\n",
-      "                                                     '@datatype': 'string'},\n",
-      "                              'comment': {'#text': 'UniProt: Loss of iron '\n",
-      "                                                   'binding activity..',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                             '@frameid': 'EV-EXP',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
-      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '99',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
-      "                              'right-end-position': {'#text': '99',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586497',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586497',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'alternate-sequence': {'#text': 'S',\n",
-      "                                                     '@datatype': 'string'},\n",
-      "                              'comment': {'#text': 'UniProt: Decrease of iron '\n",
-      "                                                   'binding activity..',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                             '@frameid': 'EV-EXP',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             '@resource': '#ECOLI:EV-EXP'},\n",
-      "                                           'Publication': {'@frameid': 'PUB-15247288',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           '@resource': '#ECOLI:PUB-15247288'}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'left-end-position': {'#text': '35',\n",
-      "                                                    '@datatype': 'integer'},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Mutagenesis-Variants',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Mutagenesis-Variants'}},\n",
-      "                              'right-end-position': {'#text': '35',\n",
-      "                                                     '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586496',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586496',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'comment': {'#text': 'UniProt: Iron.',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-IC',\n",
-      "                                                             '@class': 'true',\n",
-      "                                                             '@detail': 'full',\n",
-      "                                                             '@frameid': 'EV-IC',\n",
-      "                                                             '@orgid': 'ECOLI',\n",
-      "                                                             'comment': {...},\n",
-      "                                                             'common-name': {'#text': 'Inferred '\n",
-      "                                                                                      'by '\n",
-      "                                                                                      'curator',\n",
-      "                                                                             '@datatype': 'string'}},\n",
-      "                                           'Publication': {'@ID': 'ECOLI:PUB-UNIPROT-2021-03',\n",
-      "                                                           '@detail': 'full',\n",
-      "                                                           '@frameid': 'PUB-UNIPROT-2021-03',\n",
-      "                                                           '@orgid': 'ECOLI',\n",
-      "                                                           'author': {...},\n",
-      "                                                           'source': {...},\n",
-      "                                                           'title': {...},\n",
-      "                                                           'year': {...}}},\n",
-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
-      "                              'parent': {'Feature': {'@class': 'true',\n",
-      "                                                     '@frameid': 'Metal-Binding-Sites',\n",
-      "                                                     '@orgid': 'ECOLI',\n",
-      "                                                     '@resource': 'getxml?ECOLI:Metal-Binding-Sites'}},\n",
-      "                              'residue-number': {'#text': '101',\n",
-      "                                                 '@datatype': 'integer'}}},\n",
-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586495',\n",
-      "                              '@detail': 'full',\n",
-      "                              '@frameid': 'FTR0-1586495',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              'comment': {'#text': 'UniProt: Iron.',\n",
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-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                             '@frameid': 'EV-IC',\n",
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-      "                                                           '@orgid': 'ECOLI',\n",
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-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
-      "                                                         '@orgid': 'ECOLI',\n",
-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
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-      "                              'residue-number': {'#text': '99',\n",
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-      "                 {'Feature': {'@ID': 'ECOLI:FTR0-1586494',\n",
-      "                              '@detail': 'full',\n",
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-      "                              '@orgid': 'ECOLI',\n",
-      "                              'comment': {'#text': 'UniProt: Iron.',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                              'evidence': {'Evidence-Code': {'@class': 'true',\n",
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-      "                                                             '@resource': '#ECOLI:EV-IC'},\n",
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-      "                                                           '@orgid': 'ECOLI',\n",
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-      "                              'feature-of': {'Protein': {'@frameid': 'EG12132-MONOMER',\n",
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-      "                                                         '@resource': '#ECOLI:EG12132-MONOMER'}},\n",
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-      "                              'residue-number': {'#text': '35',\n",
-      "                                                 '@datatype': 'integer'}}}],\n",
-      " 'has-go-term': [{'GO-Term': {'@class': 'true',\n",
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-      "                  'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP-IPI',\n",
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-      "                                                                      'interaction\\n'\n",
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-      "                                                                      '<br>\\n'\n",
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-      "                                                                      'inferred '\n",
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-      "                                                                      'physical '\n",
-      "                                                                      'interaction '\n",
-      "                                                                      'such '\n",
-      "                                                                      'as\\n'\n",
-      "                                                                      '<ul>\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      '2-hybrid '\n",
-      "                                                                      'interactions\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      'Co-purification\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      'Co-immunoprecipitation\\n'\n",
-      "                                                                      '    '\n",
-      "                                                                      '<li> '\n",
-      "                                                                      'Ion/protein '\n",
-      "                                                                      'binding '\n",
-      "                                                                      'experiments\\n'\n",
-      "                                                                      '</ul><p '\n",
-      "                                                                      'class=ecocomment>\\n'\n",
-      "                                                                      'This '\n",
-      "                                                                      'code '\n",
-      "                                                                      'covers '\n",
-      "                                                                      'physical '\n",
-      "                                                                      'interactions '\n",
-      "                                                                      'between '\n",
-      "                                                                      'the '\n",
-      "                                                                      'gene '\n",
-      "                                                                      'product '\n",
-      "                                                                      'of\\n'\n",
-      "                                                                      'interest '\n",
-      "                                                                      'and '\n",
-      "                                                                      'another '\n",
-      "                                                                      'molecule '\n",
-      "                                                                      '(or '\n",
-      "                                                                      'ion, or '\n",
-      "                                                                      'complex). '\n",
-      "                                                                      'For '\n",
-      "                                                                      'functions '\n",
-      "                                                                      'such\\n'\n",
-      "                                                                      'as '\n",
-      "                                                                      'protein '\n",
-      "                                                                      'binding '\n",
-      "                                                                      'or '\n",
-      "                                                                      'nucleic '\n",
-      "                                                                      'acid '\n",
-      "                                                                      'binding, '\n",
-      "                                                                      'a '\n",
-      "                                                                      'binding '\n",
-      "                                                                      'assay '\n",
-      "                                                                      'is\\n'\n",
-      "                                                                      'simultaneously '\n",
-      "                                                                      'IPI and '\n",
-      "                                                                      'IDA; '\n",
-      "                                                                      'IDA is '\n",
-      "                                                                      'preferred '\n",
-      "                                                                      'because '\n",
-      "                                                                      'the '\n",
-      "                                                                      'assay\\n'\n",
-      "                                                                      'directly '\n",
-      "                                                                      'detects '\n",
-      "                                                                      'the '\n",
-      "                                                                      'binding. '\n",
-      "                                                                      'For '\n",
-      "                                                                      'both '\n",
-      "                                                                      'IPI and '\n",
-      "                                                                      'IGI, it '\n",
-      "                                                                      'would '\n",
-      "                                                                      'be '\n",
-      "                                                                      'good\\n'\n",
-      "                                                                      'practice '\n",
-      "                                                                      'to '\n",
-      "                                                                      'qualify '\n",
-      "                                                                      'them '\n",
-      "                                                                      'with '\n",
-      "                                                                      'the '\n",
-      "                                                                      'gene/protein/ion.',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                                 'common-name': {'#text': 'Inferred '\n",
-      "                                                                          'from '\n",
-      "                                                                          'physical '\n",
-      "                                                                          'interaction',\n",
-      "                                                                 '@datatype': 'string'},\n",
-      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                                              '@frameid': 'EV-EXP',\n",
-      "                                                                              '@orgid': 'ECOLI',\n",
-      "                                                                              '@resource': '#ECOLI:EV-EXP'}}},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-15050828',\n",
-      "                                               '@detail': 'full',\n",
-      "                                               '@frameid': 'PUB-15050828',\n",
-      "                                               '@orgid': 'ECOLI',\n",
-      "                                               'author': [{...},\n",
-      "                                                          {...},\n",
-      "                                                          {...},\n",
-      "                                                          {...}],\n",
-      "                                               'pubmed-id': {'#text': '15050828',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                               'source': {'#text': 'J Mol Biol '\n",
-      "                                                                   '338(1);127-37',\n",
-      "                                                          '@datatype': 'string'},\n",
-      "                                               'title': {'#text': 'Crystal '\n",
-      "                                                                  'structure '\n",
-      "                                                                  'of IscA, an '\n",
-      "                                                                  'iron-sulfur '\n",
-      "                                                                  'cluster '\n",
-      "                                                                  'assembly '\n",
-      "                                                                  'protein '\n",
-      "                                                                  'from '\n",
-      "                                                                  'Escherichia '\n",
-      "                                                                  'coli.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2004',\n",
-      "                                                        '@datatype': 'integer'}},\n",
-      "                               'with': {'@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
-      "                              '@frameid': 'GO:0005737',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0005737'},\n",
-      "                  'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-IBA',\n",
-      "                                                 '@class': 'true',\n",
-      "                                                 '@detail': 'full',\n",
-      "                                                 '@frameid': 'EV-COMP-IBA',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 'comment': {'#text': 'A type '\n",
-      "                                                                      'of '\n",
-      "                                                                      'phylogenetic '\n",
-      "                                                                      'evidence '\n",
-      "                                                                      'whereby '\n",
-      "                                                                      'an '\n",
-      "                                                                      'aspect '\n",
-      "                                                                      'of a '\n",
-      "                                                                      'descendent '\n",
-      "                                                                      'is '\n",
-      "                                                                      'inferred '\n",
-      "                                                                      'through '\n",
-      "                                                                      'the '\n",
-      "                                                                      'characterization '\n",
-      "                                                                      'of an '\n",
-      "                                                                      'aspect '\n",
-      "                                                                      'of a '\n",
-      "                                                                      'ancestral '\n",
-      "                                                                      'gene.',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                                 'common-name': {'#text': 'Inferred '\n",
-      "                                                                          'from '\n",
-      "                                                                          'Biological '\n",
-      "                                                                          'aspect '\n",
-      "                                                                          'from '\n",
-      "                                                                          'Ancestor',\n",
-      "                                                                 '@datatype': 'string'},\n",
-      "                                                 'parent': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                                              '@frameid': 'EV-COMP',\n",
-      "                                                                              '@orgid': 'ECOLI',\n",
-      "                                                                              '@resource': 'getxml?ECOLI:EV-COMP'}}},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-21873635',\n",
-      "                                               '@detail': 'full',\n",
-      "                                               '@frameid': 'PUB-21873635',\n",
-      "                                               '@orgid': 'ECOLI',\n",
-      "                                               'author': [{...},\n",
-      "                                                          {...},\n",
-      "                                                          {...},\n",
-      "                                                          {...}],\n",
-      "                                               'pubmed-id': {'#text': '21873635',\n",
-      "                                                             '@datatype': 'string'},\n",
-      "                                               'source': {'#text': 'Brief '\n",
-      "                                                                   'Bioinform '\n",
-      "                                                                   '12(5);449-62',\n",
-      "                                                          '@datatype': 'string'},\n",
-      "                                               'title': {'#text': 'Phylogenetic-based '\n",
-      "                                                                  'propagation '\n",
-      "                                                                  'of '\n",
-      "                                                                  'functional '\n",
-      "                                                                  'annotations '\n",
-      "                                                                  'within the '\n",
-      "                                                                  'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'consortium.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2011',\n",
-      "                                                        '@datatype': 'integer'}},\n",
-      "                               'with': {'#text': 'PANTHER\\\\:PTN001601055|PomBase\\\\:SPCC645.03c|SGD\\\\:S000003950|UniProtKB\\\\:O97297|UniProtKB\\\\:P0AAC8|UniProtKB\\\\:Q57X28',\n",
-      "                                        '@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
-      "                              '@frameid': 'GO:0097428',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0097428'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                 '@frameid': 'EV-COMP-IBA',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-IBA'},\n",
-      "                               'Publication': {'@frameid': 'PUB-21873635',\n",
-      "                                               '@orgid': 'ECOLI',\n",
-      "                                               '@resource': '#ECOLI:PUB-21873635'},\n",
-      "                               'with': {'#text': 'PANTHER\\\\:PTN001601055|PomBase\\\\:SPCC645.03c|SGD\\\\:S000003950',\n",
-      "                                        '@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
-      "                              '@frameid': 'GO:0051536',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0051536'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                 '@frameid': 'EV-COMP-AINF',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
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-      "                                               '@orgid': 'ECOLI',\n",
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-      "                                                          {...},\n",
-      "                                                          {...},\n",
-      "                                                          {...}],\n",
-      "                                               'title': {'#text': 'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'annotation '\n",
-      "                                                                  'through '\n",
-      "                                                                  'association '\n",
-      "                                                                  'of InterPro '\n",
-      "                                                                  'records '\n",
-      "                                                                  'with GO '\n",
-      "                                                                  'terms.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
-      "                                                       '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2001',\n",
-      "                                                        '@datatype': 'integer'}},\n",
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-      "                                        '@datatype': 'string'}}},\n",
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-      "                              '@frameid': 'GO:0046872',\n",
-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0046872'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
-      "                                                 '@frameid': 'EV-COMP-AINF',\n",
-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000043',\n",
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-      "                                               '@frameid': 'PUB-GO_REF-0000043',\n",
-      "                                               '@orgid': 'ECOLI',\n",
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-      "                                               'title': {'#text': 'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'annotation '\n",
-      "                                                                  'based on '\n",
-      "                                                                  'UniProtKB/Swiss-Prot '\n",
-      "                                                                  'keyword '\n",
-      "                                                                  'mapping, '\n",
-      "                                                                  'accompanied '\n",
-      "                                                                  'by '\n",
-      "                                                                  'conservative '\n",
-      "                                                                  'changes to '\n",
-      "                                                                  'GO terms '\n",
-      "                                                                  'applied by '\n",
-      "                                                                  'UniProt.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
-      "                                                       '@datatype': 'string'},\n",
-      "                                               'year': {'#text': '2012',\n",
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-      "                                        '@datatype': 'string'}}},\n",
-      "                 {'GO-Term': {'@class': 'true',\n",
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-      "                              '@orgid': 'ECOLI',\n",
-      "                              '@resource': 'getxml?ECOLI:GO:0005506'},\n",
-      "                  'evidence': {'Evidence-Code': {'@class': 'true',\n",
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-      "                                                 '@orgid': 'ECOLI',\n",
-      "                                                 '@resource': '#ECOLI:EV-COMP-AINF'},\n",
-      "                               'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000104',\n",
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-      "                                               '@orgid': 'ECOLI',\n",
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-      "                                                                   'curators',\n",
-      "                                                          '@datatype': 'string'},\n",
-      "                                               'title': {'#text': 'Electronic '\n",
-      "                                                                  'Gene '\n",
-      "                                                                  'Ontology '\n",
-      "                                                                  'annotations '\n",
-      "                                                                  'created by '\n",
-      "                                                                  'transferring '\n",
-      "                                                                  'manual GO '\n",
-      "                                                                  'annotations '\n",
-      "                                                                  'between '\n",
-      "                                                                  'related '\n",
-      "                                                                  'proteins '\n",
-      "                                                                  'based on '\n",
-      "                                                                  'shared '\n",
-      "                                                                  'sequence '\n",
-      "                                                                  'features.',\n",
-      "                                                         '@datatype': 'string'},\n",
-      "                                               'url': {'#text': 'http://www.geneontology.org/doc/GO.references',\n",
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-      "                                               'year': {'#text': '2015',\n",
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-      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
-      "                                                  '@frameid': 'EV-COMP-AINF',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-COMP-AINF'},\n",
-      "                                'Publication': {'@ID': 'ECOLI:PUB-GO_REF-0000117',\n",
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-      "                                                '@orgid': 'ECOLI',\n",
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-      "                                                'year': {...}},\n",
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-      "                                         '@datatype': 'string'}},\n",
-      "                               {'Evidence-Code': {'@class': 'true',\n",
-      "                                                  '@frameid': 'EV-COMP-IBA',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-COMP-IBA'},\n",
-      "                                'Publication': {'@frameid': 'PUB-21873635',\n",
-      "                                                '@orgid': 'ECOLI',\n",
-      "                                                '@resource': '#ECOLI:PUB-21873635'},\n",
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-      "                                                  '@class': 'true',\n",
-      "                                                  '@detail': 'full',\n",
-      "                                                  '@frameid': 'EV-EXP-IDA',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  'comment': {...},\n",
-      "                                                  'common-name': {...},\n",
-      "                                                  'parent': {...}},\n",
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-      "                 {'GO-Term': {'@class': 'true',\n",
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-      "                              '@orgid': 'ECOLI',\n",
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-      "                  'evidence': [{'Evidence-Code': {'@class': 'true',\n",
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-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-COMP-IBA'},\n",
-      "                                'Publication': {'@frameid': 'PUB-21873635',\n",
-      "                                                '@orgid': 'ECOLI',\n",
-      "                                                '@resource': '#ECOLI:PUB-21873635'},\n",
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-      "                                         '@datatype': 'string'}},\n",
-      "                               {'Evidence-Code': {'@class': 'true',\n",
-      "                                                  '@frameid': 'EV-EXP-IDA',\n",
-      "                                                  '@orgid': 'ECOLI',\n",
-      "                                                  '@resource': '#ECOLI:EV-EXP-IDA'},\n",
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-      " 'molecular-weight-seq': {'#text': '11.556',\n",
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-      "                                                                     '@datatype': 'string'},\n",
-      "                                                       'source': {'#text': 'Front '\n",
-      "                                                                           'Microbiol '\n",
-      "                                                                           '12;711077',\n",
-      "                                                                  '@datatype': 'string'},\n",
-      "                                                       'title': {'#text': 'The '\n",
-      "                                                                          'EcoCyc '\n",
-      "                                                                          'Database '\n",
-      "                                                                          'in '\n",
-      "                                                                          '2021.',\n",
-      "                                                                 '@datatype': 'string'},\n",
-      "                                                       'year': {'#text': '2021',\n",
-      "                                                                '@datatype': 'integer'}}},\n",
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-      "                                               'database for <i>Escherichia '\n",
-      "                                               'coli</i> K-12 MG1655. For more '\n",
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-      "                                               'EcoCyc.org.\\n'\n",
-      "                                               '<p>\\n'\n",
-      "                                               'The <i>E. coli</i> genome '\n",
-      "                                               'sequence used in EcoCyc has '\n",
-      "                                               'been updated from version 2 to '\n",
-      "                                               'version 3, GenBank accession '\n",
-      "                                               'number U00096.3, for release '\n",
-      "                                               '20.0 of EcoCyc. Despite the '\n",
-      "                                               'involvement of EcoCyc staff in '\n",
-      "                                               'ongoing updates to the U00096 '\n",
-      "                                               'record, some annotation '\n",
-      "                                               'differences may be found '\n",
-      "                                               'between U00096 and EcoCyc, '\n",
-      "                                               'such as due to recent updates '\n",
-      "                                               'to EcoCyc.',\n",
-      "                                      '@datatype': 'string'},\n",
-      "                          'common-name': {'#text': 'Escherichia coli',\n",
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-      "                                      'dblink-oid': '511145',\n",
-      "                                      'dblink-relationship': 'unification'},\n",
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-      "                                      'dblink-oid': 'Gp0072557',\n",
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-      "                          'genome': {'Genetic-Element': {'@frameid': 'COLI-K12',\n",
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-      "                                                      'affiliations': {...},\n",
-      "                                                      'common-name': {...}}},\n",
-      "                                          {'Person': {'@ID': 'ECOLI:tierrafria',\n",
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-      "                                                      '@frameid': 'tierrafria',\n",
-      "                                                      '@orgid': 'ECOLI',\n",
-      "                                                      'affiliations': {...},\n",
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-      "                                          {'Person': {'@ID': 'ECOLI:figueroa',\n",
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-      "                                                      '@orgid': 'ECOLI',\n",
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-      "                                                      'email': {...},\n",
-      "                                                      'middle-name': {...}}}],\n",
-      "                          'pgdb-copyright': {'#text': 'Copyright SRI '\n",
-      "                                                      'International '\n",
-      "                                                      '1999-2023, Marine '\n",
-      "                                                      'Biological Laboratory '\n",
-      "                                                      '1998-2001, DoubleTwist '\n",
-      "                                                      'Inc 1998-1999.  All '\n",
-      "                                                      'Rights Reserved.',\n",
-      "                                             '@datatype': 'string'},\n",
-      "                          'pgdb-footer-citation': {'#text': '<a '\n",
-      "                                                            'href=\"https://www.frontiersin.org/articles/10.3389/fmicb.2021.711077/full\">Frontiers '\n",
-      "                                                            'in Microbiology '\n",
-      "                                                            '2021</a>',\n",
-      "                                                   '@datatype': 'string'},\n",
-      "                          'pgdb-name': {'#text': 'EcoCyc',\n",
-      "                                        '@datatype': 'string'},\n",
-      "                          'pgdb-tier': {'#text': '1', '@datatype': 'integer'},\n",
-      "                          'rank': 'strain',\n",
-      "                          'strain-name': {'#text': 'K-12 substr. MG1655',\n",
-      "                                          '@datatype': 'string'},\n",
-      "                          'synonym': {'#text': 'Escherichia coli K-12 substr. '\n",
-      "                                               'MG1655',\n",
-      "                                      '@datatype': 'string'}}},\n",
-      " 'synonym': [{'#text': 'IscA', '@datatype': 'string'},\n",
-      "             {'#text': 'YfhF', '@datatype': 'string'},\n",
-      "             {'#text': 'iron-sulfur cluster assembly protein',\n",
-      "              '@datatype': 'string'}]}\n"
+      "{'@ptools-version': '27.0',\n",
+      " '@xml:base': 'http://BioCyc.org/apixml?fn=monomers-of-protein%26id=ECOLI:CPLX0-8167%26detail=NONE',\n",
+      " 'Protein': [{'@frameid': 'HYAC-MONOMER',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              '@resource': 'getxml?ECOLI:HYAC-MONOMER'},\n",
+      "             {'@frameid': 'HYAB-MONOMER',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              '@resource': 'getxml?ECOLI:HYAB-MONOMER'},\n",
+      "             {'@frameid': 'HYAA-MONOMER',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              '@resource': 'getxml?ECOLI:HYAA-MONOMER'}],\n",
+      " 'metadata': {'num_results': '3',\n",
+      "              'query': 'fn=monomers-of-protein&id=ECOLI:CPLX0-8167&detail=NONE',\n",
+      "              'service_name': 'apixml',\n",
+      "              'url': 'http://BioCyc.org/'}}\n"
      ]
     }
    ],
    "source": [
-    "complex = 'EG12132-MONOMER'\n",
+    "protein = 'CPLX0-8167'\n",
     "\n",
-    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{complex}&detail=high'\n",
+    "# req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "req_str = f'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{protein}&detail=none'\n",
     "\n",
     "r = s.get(req_str)\n",
     "\n",
-    "o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']\n",
     "pp.pprint(o)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-21T17:26:36.490323Z",
-     "start_time": "2023-06-21T17:26:36.159052Z"
+     "end_time": "2023-06-24T00:15:02.784067Z",
+     "start_time": "2023-06-24T00:15:02.741949Z"
     }
    }
   },
@@ -1247,6 +191,7 @@
     "\n",
     "    o = xmltodict.parse(r.content)['ptools-xml']['Protein']\n",
     "\n",
+    "    # don't allow non-top-level complexes that dont have enzymatic reactions.\n",
     "    if 'component-of' in o and 'catalyzes' not in o:\n",
     "        continue\n",
     "\n",
@@ -1292,6 +237,7 @@
     "        if type(o) is dict:\n",
     "            o = [o]\n",
     "\n",
+    "        cofactor_set = set()\n",
     "        for enzrxn in o:\n",
     "            enz_id = enzrxn['@frameid']\n",
     "\n",
@@ -1308,12 +254,11 @@
     "                if type(oe) is dict:\n",
     "                    oe = [oe]\n",
     "\n",
-    "                cofactor_list = []\n",
     "                for cofactor in oe:\n",
     "                    cof = cofactor['Compound']['@frameid']\n",
-    "                    cofactor_list.append(cof)\n",
+    "                    cofactor_set.add(cof)\n",
     "\n",
-    "                pre_complex_df.at[i, 'cofactors'] = cofactor_list\n",
+    "        pre_complex_df.at[i, 'cofactors'] = cofactor_set\n",
     "\n"
    ],
    "metadata": {
diff --git a/notebooks/fbagd/metal_binding_new.ipynb b/notebooks/fbagd/metal_binding_new.ipynb
new file mode 100644
index 000000000..680c93486
--- /dev/null
+++ b/notebooks/fbagd/metal_binding_new.ipynb
@@ -0,0 +1,589 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:41.168972Z",
+     "start_time": "2023-06-26T19:05:40.887373Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import pprint\n",
+    "import ast\n",
+    "import re\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(depth=6)\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name metal_features  \\\n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...              0   \n1                                 1-phosphofructokinase              0   \n2                         2-dehydropantoate 2-reductase              0   \n3                            2-isopropylmalate synthase              0   \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...              0   \n...                                                 ...            ...   \n4415  galactofuranose ABC transporter putative ATP b...              0   \n4416  galactofuranose ABC transporter putative membr...              0   \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...              0   \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit              0   \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...              0   \n\n     other_features  \n0                 0  \n1                 0  \n2                 0  \n3                 0  \n4                 0  \n...             ...  \n4415              0  \n4416              0  \n4417              0  \n4418              0  \n4419              0  \n\n[4420 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>metal_features</th>\n      <th>other_features</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# get a set of all monomers with an associated uniprot id\n",
+    "proteins_df = pd.read_csv('reconstruction/ecoli/flat/proteins.tsv', sep='\\t').loc[:, [\"id\", \"common_name\"]]\n",
+    "\n",
+    "proteins_df[\"metal_features\"] = 0\n",
+    "proteins_df[\"metal_features\"] = proteins_df[\"metal_features\"].astype(object)\n",
+    "\n",
+    "proteins_df[\"other_features\"] = 0\n",
+    "proteins_df[\"other_features\"] = proteins_df[\"other_features\"].astype(object)\n",
+    "\n",
+    "proteins_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:41.211718Z",
+     "start_time": "2023-06-26T19:05:41.171666Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'Feature': {'@ID': 'ECOLI:FTR0-1606133',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1606133',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'accession-1': {'#text': 'PF01266.27', '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-AINF',\n",
+      "                                             '@class': 'true',\n",
+      "                                             '@detail': 'full',\n",
+      "                                             '@frameid': 'EV-COMP-AINF',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             'comment': {'#text': 'Automated '\n",
+      "                                                                  'inference.  '\n",
+      "                                                                  'A computer '\n",
+      "                                                                  'inferred '\n",
+      "                                                                  'this '\n",
+      "                                                                  'assertion '\n",
+      "                                                                  'through one '\n",
+      "                                                                  'of many '\n",
+      "                                                                  'possible '\n",
+      "                                                                  'methods '\n",
+      "                                                                  'such as \\n'\n",
+      "                                                                  'sequence '\n",
+      "                                                                  'similarity, '\n",
+      "                                                                  'recognized '\n",
+      "                                                                  'motifs or '\n",
+      "                                                                  'consensus '\n",
+      "                                                                  'sequence, '\n",
+      "                                                                  'etc.  When '\n",
+      "                                                                  'a person '\n",
+      "                                                                  'made the '\n",
+      "                                                                  'inference \\n'\n",
+      "                                                                  'from '\n",
+      "                                                                  'computational '\n",
+      "                                                                  'evidence, '\n",
+      "                                                                  'use '\n",
+      "                                                                  'EV-COMP-HINF.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                      'computationally '\n",
+      "                                                                      'without '\n",
+      "                                                                      'human '\n",
+      "                                                                      'oversight',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                             'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                          '@frameid': 'EV-COMP',\n",
+      "                                                                          '@orgid': 'ECOLI',\n",
+      "                                                                          '@resource': 'getxml?ECOLI:EV-COMP'}}},\n",
+      "                           'Publication': {'@ID': 'ECOLI:PUB-26673716',\n",
+      "                                           '@detail': 'full',\n",
+      "                                           '@frameid': 'PUB-26673716',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           'author': [{...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...}],\n",
+      "                                           'pubmed-id': {'#text': '26673716',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                           'source': {'#text': 'Nucleic Acids '\n",
+      "                                                               'Res '\n",
+      "                                                               '44(D1);D279-85',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'title': {'#text': 'The Pfam '\n",
+      "                                                              'protein '\n",
+      "                                                              'families '\n",
+      "                                                              'database: '\n",
+      "                                                              'towards a more '\n",
+      "                                                              'sustainable '\n",
+      "                                                              'future.',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                                           'year': {'#text': '2016',\n",
+      "                                                    '@datatype': 'integer'}}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'left-end-position': {'#text': '2', '@datatype': 'integer'},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'Pfam-Features',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:Pfam-Features'}},\n",
+      "              'right-end-position': {'#text': '397', '@datatype': 'integer'}}},\n",
+      " {'Feature': {'@ID': 'ECOLI:FTR0-1586643',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1586643',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'attached-group': {'Compound': {'@frameid': 'FAD',\n",
+      "                                              '@orgid': 'ECOLI',\n",
+      "                                              '@resource': 'getxml?ECOLI:FAD'}},\n",
+      "              'comment': {'#text': 'UniProt: FAD.', '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-COMP-HINF-ISM',\n",
+      "                                             '@class': 'true',\n",
+      "                                             '@detail': 'full',\n",
+      "                                             '@frameid': 'EV-COMP-HINF-ISM',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             'comment': {'#text': 'Human '\n",
+      "                                                                  'inference '\n",
+      "                                                                  'based on '\n",
+      "                                                                  'evidence '\n",
+      "                                                                  'from some '\n",
+      "                                                                  'kind of '\n",
+      "                                                                  'statistical '\n",
+      "                                                                  'model of a '\n",
+      "                                                                  'sequence\\n'\n",
+      "                                                                  'or group of '\n",
+      "                                                                  'sequences, '\n",
+      "                                                                  'which is '\n",
+      "                                                                  'used to '\n",
+      "                                                                  'make a '\n",
+      "                                                                  'prediction '\n",
+      "                                                                  'about the '\n",
+      "                                                                  'function of '\n",
+      "                                                                  'a protein '\n",
+      "                                                                  'or RNA.\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- '\n",
+      "                                                                  'Prediction '\n",
+      "                                                                  'methods for '\n",
+      "                                                                  'non-coding '\n",
+      "                                                                  'RNA genes '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'tRNASCAN-SE, '\n",
+      "                                                                  'Snoscan, '\n",
+      "                                                                  'and Rfam\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- Predicted '\n",
+      "                                                                  'presence of '\n",
+      "                                                                  'recognized '\n",
+      "                                                                  'functional '\n",
+      "                                                                  'domains or '\n",
+      "                                                                  'membership '\n",
+      "                                                                  'in protein '\n",
+      "                                                                  'families,\\n'\n",
+      "                                                                  '  as '\n",
+      "                                                                  'determined '\n",
+      "                                                                  'by tools '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'profile '\n",
+      "                                                                  'Hidden '\n",
+      "                                                                  'Markov '\n",
+      "                                                                  'Models '\n",
+      "                                                                  '(HMMs), '\n",
+      "                                                                  'including '\n",
+      "                                                                  'Pfam and '\n",
+      "                                                                  'TIGRFAM\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- Predicted '\n",
+      "                                                                  'protein '\n",
+      "                                                                  'features '\n",
+      "                                                                  'using tools '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'TMHMM '\n",
+      "                                                                  '(transmembrane '\n",
+      "                                                                  'regions), '\n",
+      "                                                                  'SignalP '\n",
+      "                                                                  '(signal '\n",
+      "                                                                  'peptides on '\n",
+      "                                                                  'secreted '\n",
+      "                                                                  'proteins),\\n'\n",
+      "                                                                  '  and '\n",
+      "                                                                  'TargetP '\n",
+      "                                                                  '(subcellular '\n",
+      "                                                                  'localization)\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- any other '\n",
+      "                                                                  'kind of '\n",
+      "                                                                  'domain '\n",
+      "                                                                  'modeling '\n",
+      "                                                                  'tool or '\n",
+      "                                                                  'collections '\n",
+      "                                                                  'of them '\n",
+      "                                                                  'such as '\n",
+      "                                                                  'SMART, '\n",
+      "                                                                  'PROSITE, '\n",
+      "                                                                  'PANTHER, '\n",
+      "                                                                  'InterPro, '\n",
+      "                                                                  'etc.\\n'\n",
+      "                                                                  '<p>\\n'\n",
+      "                                                                  '- An entry '\n",
+      "                                                                  'in the with '\n",
+      "                                                                  'field of a '\n",
+      "                                                                  'GO '\n",
+      "                                                                  'annotation '\n",
+      "                                                                  'is required '\n",
+      "                                                                  'when the '\n",
+      "                                                                  'model used '\n",
+      "                                                                  'is an '\n",
+      "                                                                  'object with '\n",
+      "                                                                  'an '\n",
+      "                                                                  'accession '\n",
+      "                                                                  'number\\n'\n",
+      "                                                                  '  (as found '\n",
+      "                                                                  'with Pfam, '\n",
+      "                                                                  'TIGRFAM, '\n",
+      "                                                                  'InterPro, '\n",
+      "                                                                  'PROSITE, '\n",
+      "                                                                  'Rfam, '\n",
+      "                                                                  'etc.)  The '\n",
+      "                                                                  'with field '\n",
+      "                                                                  'may be left '\n",
+      "                                                                  'blank for '\n",
+      "                                                                  'tools such '\n",
+      "                                                                  'as\\n'\n",
+      "                                                                  '  tRNAscan '\n",
+      "                                                                  'and Snoscan '\n",
+      "                                                                  'where there '\n",
+      "                                                                  'is not an '\n",
+      "                                                                  'object with '\n",
+      "                                                                  'an '\n",
+      "                                                                  'accession '\n",
+      "                                                                  'to point '\n",
+      "                                                                  'to.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                      'from '\n",
+      "                                                                      'Sequence '\n",
+      "                                                                      'Model',\n",
+      "                                                             '@datatype': 'string'},\n",
+      "                                             'parent': {'Evidence-Code': {'@class': 'true',\n",
+      "                                                                          '@frameid': 'EV-COMP-HINF-FN-FROM-SEQ',\n",
+      "                                                                          '@orgid': 'ECOLI',\n",
+      "                                                                          '@resource': 'getxml?ECOLI:EV-COMP-HINF-FN-FROM-SEQ'}}},\n",
+      "                           'Publication': {'@ID': 'ECOLI:PUB-UNIPROT-2021-03',\n",
+      "                                           '@detail': 'full',\n",
+      "                                           '@frameid': 'PUB-UNIPROT-2021-03',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           'author': {'#text': 'UniProt '\n",
+      "                                                               'Consortium',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'source': {'#text': 'Database',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'title': {'#text': 'UniProt version '\n",
+      "                                                              '2021-03 '\n",
+      "                                                              'released on '\n",
+      "                                                              '2021-06-16',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                                           'year': {'#text': '2021',\n",
+      "                                                    '@datatype': 'integer'}}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'left-end-position': {'#text': '3', '@datatype': 'integer'},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'Nucleotide-Phosphate-Binding-Regions',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:Nucleotide-Phosphate-Binding-Regions'}},\n",
+      "              'right-end-position': {'#text': '17', '@datatype': 'integer'}}},\n",
+      " {'Feature': {'@ID': 'ECOLI:FTR0-1552175',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1552175',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'comment': {'#text': 'N6-acetyllysine site upregulated '\n",
+      "                                   '(log<SUB>2</SUB>(fold-change) =  2.41) by '\n",
+      "                                   'YfiQ; digests by trypsin',\n",
+      "                          '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@ID': 'ECOLI:EV-EXP',\n",
+      "                                             '@class': 'true',\n",
+      "                                             '@detail': 'full',\n",
+      "                                             '@frameid': 'EV-EXP',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             'comment': {'#text': 'Inferred '\n",
+      "                                                                  'from '\n",
+      "                                                                  'experiment.  '\n",
+      "                                                                  'The '\n",
+      "                                                                  'evidence '\n",
+      "                                                                  'for an '\n",
+      "                                                                  'assertion '\n",
+      "                                                                  'comes from '\n",
+      "                                                                  'a\\n'\n",
+      "                                                                  'wet-lab '\n",
+      "                                                                  'experiment '\n",
+      "                                                                  'of some '\n",
+      "                                                                  'type.',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                             'common-name': {'#text': 'Inferred '\n",
+      "                                                                      'from '\n",
+      "                                                                      'experiment',\n",
+      "                                                             '@datatype': 'string'}},\n",
+      "                           'Publication': {'@ID': 'ECOLI:PUB-30352934',\n",
+      "                                           '@detail': 'full',\n",
+      "                                           '@frameid': 'PUB-30352934',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           'author': [{...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...},\n",
+      "                                                      {...}],\n",
+      "                                           'pubmed-id': {'#text': '30352934',\n",
+      "                                                         '@datatype': 'string'},\n",
+      "                                           'source': {'#text': 'MBio 9(5)',\n",
+      "                                                      '@datatype': 'string'},\n",
+      "                                           'title': {'#text': 'Identification '\n",
+      "                                                              'of Novel '\n",
+      "                                                              'Protein Lysine '\n",
+      "                                                              'Acetyltransferases '\n",
+      "                                                              'in Escherichia '\n",
+      "                                                              'coli.',\n",
+      "                                                     '@datatype': 'string'},\n",
+      "                                           'year': {'#text': '2018',\n",
+      "                                                    '@datatype': 'integer'}}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'N6-acetyllysine-Modifications',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:N6-acetyllysine-Modifications'}},\n",
+      "              'residue-number': {'#text': '217', '@datatype': 'integer'}}},\n",
+      " {'Feature': {'@ID': 'ECOLI:FTR0-1551738',\n",
+      "              '@detail': 'full',\n",
+      "              '@frameid': 'FTR0-1551738',\n",
+      "              '@orgid': 'ECOLI',\n",
+      "              'comment': {'#text': 'N6-acetyllysine site upregulated '\n",
+      "                                   '(log<SUB>2</SUB>(fold-change) =  3.61) by '\n",
+      "                                   'YiaC; digests by trypsin',\n",
+      "                          '@datatype': 'string'},\n",
+      "              'evidence': {'Evidence-Code': {'@class': 'true',\n",
+      "                                             '@frameid': 'EV-EXP',\n",
+      "                                             '@orgid': 'ECOLI',\n",
+      "                                             '@resource': '#ECOLI:EV-EXP'},\n",
+      "                           'Publication': {'@frameid': 'PUB-30352934',\n",
+      "                                           '@orgid': 'ECOLI',\n",
+      "                                           '@resource': '#ECOLI:PUB-30352934'}},\n",
+      "              'feature-of': {'Protein': {'@frameid': 'DALADEHYDROGA-MONOMER',\n",
+      "                                         '@orgid': 'ECOLI',\n",
+      "                                         '@resource': '#ECOLI:DALADEHYDROGA-MONOMER'}},\n",
+      "              'parent': {'Feature': {'@class': 'true',\n",
+      "                                     '@frameid': 'N6-acetyllysine-Modifications',\n",
+      "                                     '@orgid': 'ECOLI',\n",
+      "                                     '@resource': 'getxml?ECOLI:N6-acetyllysine-Modifications'}},\n",
+      "              'residue-number': {'#text': '66', '@datatype': 'integer'}}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "protein = 'DALADEHYDROGA-MONOMER'\n",
+    "\n",
+    "req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']\n",
+    "pp.pprint(o['Protein']['has-feature'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:41.456330Z",
+     "start_time": "2023-06-26T19:05:41.282145Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(50): # range(len(proteins_df.index)):\n",
+    "    if i % 100 == 0:\n",
+    "        print(i)\n",
+    "\n",
+    "    protein = proteins_df.loc[i, 'id']\n",
+    "\n",
+    "    req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    if r.status_code != 200:\n",
+    "        print(protein, r.status_code)\n",
+    "        proteins_df.loc[i, 'cofactors'] = 'NO ECOCYC ENTRY'\n",
+    "        continue\n",
+    "\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']\n",
+    "\n",
+    "    metal_set = set()\n",
+    "    other_feature_set = set()\n",
+    "    if 'Protein' in o and 'has-feature' in o['Protein']:\n",
+    "        features = o['Protein']['has-feature']\n",
+    "\n",
+    "        if type(features) is dict:\n",
+    "            features = [features]\n",
+    "\n",
+    "        for feature in features:\n",
+    "            if 'parent' not in feature['Feature']:\n",
+    "                continue\n",
+    "\n",
+    "            category = feature['Feature']['parent']['Feature']['@frameid']\n",
+    "            if category == 'Metal-Binding-Sites' and 'comment' in feature['Feature']:\n",
+    "\n",
+    "                # Detect match to any of the allowed metal names and allowed cofactor names and add to list\n",
+    "                comment = feature['Feature']['comment']['#text']\n",
+    "                metal_set.add(comment)\n",
+    "\n",
+    "                proteins_df.at[i, 'metal_features'] = list(metal_set)\n",
+    "\n",
+    "            if category == 'Nucleotide-Phosphate-Binding-Regions' and 'attached-group' in feature['Feature']:\n",
+    "                attached_group = feature['Feature']['attached-group']['Compound']['@frameid']\n",
+    "                other_feature_set.add(attached_group)\n",
+    "\n",
+    "            if category == 'N6-pyridoxal-phosphate-Lys-Modification':\n",
+    "                other_feature_set.add('PYRIDOXAL_PHOSPHATE')\n",
+    "\n",
+    "            proteins_df.at[i, 'metal_features'] = list(metal_set)\n",
+    "            proteins_df.at[i, 'other_features'] = list(other_feature_set)\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:53.090807Z",
+     "start_time": "2023-06-26T19:05:41.481717Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name metal_features  \\\n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...             []   \n1                                 1-phosphofructokinase             []   \n2                         2-dehydropantoate 2-reductase             []   \n3                            2-isopropylmalate synthase             []   \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...             []   \n...                                                 ...            ...   \n4415  galactofuranose ABC transporter putative ATP b...              0   \n4416  galactofuranose ABC transporter putative membr...              0   \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...              0   \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit              0   \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...              0   \n\n     other_features  \n0                []  \n1             [ATP]  \n2            [NADP]  \n3                []  \n4                []  \n...             ...  \n4415              0  \n4416              0  \n4417              0  \n4418              0  \n4419              0  \n\n[4420 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>metal_features</th>\n      <th>other_features</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td>[]</td>\n      <td>[ATP]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td>[]</td>\n      <td>[NADP]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td>[]</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 4 columns</p>\n</div>"
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proteins_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:53.098486Z",
+     "start_time": "2023-06-26T19:05:53.095575Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:05:53.099951Z",
+     "start_time": "2023-06-26T19:05:53.098114Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/notebooks/fbagd/metal_binding_uniprot.ipynb b/notebooks/fbagd/metal_binding_uniprot.ipynb
index 6d1a7cd92..0f82361de 100644
--- a/notebooks/fbagd/metal_binding_uniprot.ipynb
+++ b/notebooks/fbagd/metal_binding_uniprot.ipynb
@@ -2,17 +2,17 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "outputs": [],
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "\n",
@@ -29,20 +29,34 @@
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
     "import requests\n",
-    "import xmltodict"
+    "import xmltodict\n",
+    "\n",
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:00:58.604688Z",
-     "start_time": "2023-06-22T23:00:58.566622Z"
+     "end_time": "2023-06-23T17:02:08.806238Z",
+     "start_time": "2023-06-23T17:02:08.524729Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "outputs": [],
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                    complex  stoichiometry                   reaction\n0                     1-PFK              1                  1-PFK_RXN\n1             1-PFK-MONOMER             -2                  1-PFK_RXN\n2     2OXOGLUTARATEDEH-CPLX              1  2OXOGLUTARATEDEH-CPLX_RXN\n3                       E1O             -1  2OXOGLUTARATEDEH-CPLX_RXN\n4                       E2O             -1  2OXOGLUTARATEDEH-CPLX_RXN\n...                     ...            ...                        ...\n2811                FFS-RNA             -1               SRP-CPLX_RXN\n2812          CPLX0-7796APO              1          CPLX0-7796APO_RXN\n2813                PD04032             -2          CPLX0-7796APO_RXN\n2814              ARCB-CPLX              1              ARCB-CPLX_RXN\n2815           ARCB-MONOMER             -2              ARCB-CPLX_RXN\n\n[2816 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>-2</td>\n      <td>1-PFK_RXN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E1O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E2O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2811</th>\n      <td>FFS-RNA</td>\n      <td>-1</td>\n      <td>SRP-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>2812</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n    </tr>\n    <tr>\n      <th>2813</th>\n      <td>PD04032</td>\n      <td>-2</td>\n      <td>CPLX0-7796APO_RXN</td>\n    </tr>\n    <tr>\n      <th>2814</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n    </tr>\n    <tr>\n      <th>2815</th>\n      <td>ARCB-MONOMER</td>\n      <td>-2</td>\n      <td>ARCB-CPLX_RXN</td>\n    </tr>\n  </tbody>\n</table>\n<p>2816 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "complexation_rxn_df = pd.read_csv('reconstruction/ecoli/flat/complexation_reactions.tsv', sep='\\t')\n",
     "stoich_series = complexation_rxn_df.loc[:,['id', 'stoichiometry']].dropna().reset_index(drop=True)\n",
@@ -54,50 +68,342 @@
     "\n",
     "    stoich = ast.literal_eval(stoich)\n",
     "    for k,v in stoich.items():\n",
-    "        stoich_list.append([k, v, stoich_series.loc[i, 'id'], None, None, None])"
+    "        stoich_list.append([k, v, stoich_series.loc[i, 'id']])\n",
+    "\n",
+    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction'])\n",
+    "pre_complex_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:00:58.634337Z",
-     "start_time": "2023-06-22T23:00:58.606119Z"
+     "end_time": "2023-06-23T17:02:10.131533Z",
+     "start_time": "2023-06-23T17:02:10.091418Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 25,
    "outputs": [
     {
      "data": {
-      "text/plain": "                    complex  stoichiometry                   reaction  \\\n0                     1-PFK              1                  1-PFK_RXN   \n1             1-PFK-MONOMER             -2                  1-PFK_RXN   \n2     2OXOGLUTARATEDEH-CPLX              1  2OXOGLUTARATEDEH-CPLX_RXN   \n3                       E1O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n4                       E2O             -1  2OXOGLUTARATEDEH-CPLX_RXN   \n...                     ...            ...                        ...   \n2811                FFS-RNA             -1               SRP-CPLX_RXN   \n2812          CPLX0-7796APO              1          CPLX0-7796APO_RXN   \n2813                PD04032             -2          CPLX0-7796APO_RXN   \n2814              ARCB-CPLX              1              ARCB-CPLX_RXN   \n2815           ARCB-MONOMER             -2              ARCB-CPLX_RXN   \n\n     enzyme-reaction cofactors metal_binding  \n0               None      None          None  \n1               None      None          None  \n2               None      None          None  \n3               None      None          None  \n4               None      None          None  \n...              ...       ...           ...  \n2811            None      None          None  \n2812            None      None          None  \n2813            None      None          None  \n2814            None      None          None  \n2815            None      None          None  \n\n[2816 rows x 6 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>complex</th>\n      <th>stoichiometry</th>\n      <th>reaction</th>\n      <th>enzyme-reaction</th>\n      <th>cofactors</th>\n      <th>metal_binding</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-PFK</td>\n      <td>1</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>-2</td>\n      <td>1-PFK_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2OXOGLUTARATEDEH-CPLX</td>\n      <td>1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E1O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E2O</td>\n      <td>-1</td>\n      <td>2OXOGLUTARATEDEH-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2811</th>\n      <td>FFS-RNA</td>\n      <td>-1</td>\n      <td>SRP-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2812</th>\n      <td>CPLX0-7796APO</td>\n      <td>1</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2813</th>\n      <td>PD04032</td>\n      <td>-2</td>\n      <td>CPLX0-7796APO_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2814</th>\n      <td>ARCB-CPLX</td>\n      <td>1</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2815</th>\n      <td>ARCB-MONOMER</td>\n      <td>-2</td>\n      <td>ARCB-CPLX_RXN</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>2816 rows × 6 columns</p>\n</div>"
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name uniprot_id  \n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...             \n1                                 1-phosphofructokinase             \n2                         2-dehydropantoate 2-reductase             \n3                            2-isopropylmalate synthase             \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...             \n...                                                 ...        ...  \n4415  galactofuranose ABC transporter putative ATP b...             \n4416  galactofuranose ABC transporter putative membr...             \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...             \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit             \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...             \n\n[4420 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>uniprot_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td></td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 3 columns</p>\n</div>"
      },
-     "execution_count": 4,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pre_complex_df = pd.DataFrame(stoich_list, columns=['complex', 'stoichiometry', 'reaction', 'enzyme-reaction', 'cofactors', 'metal_binding'])\n",
-    "pre_complex_df"
+    "# get a set of all monomers with an associated uniprot id\n",
+    "proteins_df = pd.read_csv('reconstruction/ecoli/flat/proteins.tsv', sep='\\t').loc[:, [\"id\", \"common_name\"]]\n",
+    "proteins_df[\"uniprot_id\"] = \"\"\n",
+    "\n",
+    "proteins_df"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:01:19.604470Z",
-     "start_time": "2023-06-22T23:01:19.599129Z"
+     "end_time": "2023-06-23T17:02:10.663746Z",
+     "start_time": "2023-06-23T17:02:10.639437Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "no protein for AGAA-MONOMER\n",
+      "100\n",
+      "200\n",
+      "300\n",
+      "no protein for EG10010-MONOMER\n",
+      "400\n",
+      "500\n",
+      "no protein for EG10659-MONOMER\n",
+      "600\n",
+      "700\n",
+      "no protein for EG11092-MONOMER\n",
+      "800\n",
+      "900\n",
+      "no protein for EG11304-MONOMER\n",
+      "no protein for EG11386-MONOMER\n",
+      "1000\n",
+      "no protein for EG11496-MONOMER\n",
+      "1100\n",
+      "EG11708-MONOMER 404\n",
+      "no protein for EG11766-MONOMER\n",
+      "no protein for EG11770-MONOMER\n",
+      "1200\n",
+      "no protein for EG11778-MONOMER\n",
+      "no protein for EG11780-MONOMER\n",
+      "1300\n",
+      "no protein for EG11927-MONOMER\n",
+      "no protein for EG11986-MONOMER\n",
+      "no protein for EG12020-MONOMER\n",
+      "no protein for EG12051-MONOMER\n",
+      "1400\n",
+      "no protein for EG12161-MONOMER\n",
+      "no protein for EG12208-MONOMER\n",
+      "no protein for EG12227-MONOMER\n",
+      "no protein for EG12238-MONOMER\n",
+      "no protein for EG12261-MONOMER\n",
+      "1500\n",
+      "no protein for EG12364-MONOMER\n",
+      "1600\n",
+      "no protein for EG12881-MONOMER\n",
+      "1700\n",
+      "no protein for G0-16653-MONOMER\n",
+      "no protein for G0-16659-MONOMER\n",
+      "no protein for G0-16666-MONOMER\n",
+      "no protein for G0-16672-MONOMER\n",
+      "no protein for G0-16713-MONOMER\n",
+      "no protein for G0-16715-MONOMER\n",
+      "no protein for G0-16716-MONOMER\n",
+      "no protein for G0-16717-MONOMER\n",
+      "no protein for G0-16718-MONOMER\n",
+      "no protein for G0-16719-MONOMER\n",
+      "no protein for G0-16720-MONOMER\n",
+      "1800\n",
+      "no protein for G6102-MONOMER\n",
+      "no protein for G6113-MONOMER\n",
+      "no protein for G6114-MONOMER\n",
+      "no protein for G6119-MONOMER\n",
+      "no protein for G6130-MONOMER\n",
+      "no protein for G6137-MONOMER\n",
+      "no protein for G6170-MONOMER\n",
+      "no protein for G6214-MONOMER\n",
+      "no protein for G6222-MONOMER\n",
+      "1900\n",
+      "no protein for G6231-MONOMER\n",
+      "no protein for G6271-MONOMER\n",
+      "no protein for G6295-MONOMER\n",
+      "no protein for G6298-MONOMER\n",
+      "no protein for G6316-MONOMER\n",
+      "2000\n",
+      "no protein for G6376-MONOMER\n",
+      "no protein for G6377-MONOMER\n",
+      "2100\n",
+      "no protein for G6535-MONOMER\n",
+      "no protein for G6596-MONOMER\n",
+      "no protein for G6599-MONOMER\n",
+      "no protein for G6609-MONOMER\n",
+      "2200\n",
+      "no protein for G6632-MONOMER\n",
+      "no protein for G6686-MONOMER\n",
+      "no protein for G6692-MONOMER\n",
+      "no protein for G6722-MONOMER\n",
+      "2300\n",
+      "no protein for G6767-MONOMER\n",
+      "no protein for G6771-MONOMER\n",
+      "no protein for G6796-MONOMER\n",
+      "no protein for G6836-MONOMER\n",
+      "no protein for G6837-MONOMER\n",
+      "2400\n",
+      "no protein for G6926-MONOMER\n",
+      "2500\n",
+      "no protein for G7043-MONOMER\n",
+      "no protein for G7044-MONOMER\n",
+      "no protein for G7052-MONOMER\n",
+      "no protein for G7066-MONOMER\n",
+      "no protein for G7075-MONOMER\n",
+      "no protein for G7079-MONOMER\n",
+      "2600\n",
+      "no protein for G7120-MONOMER\n",
+      "no protein for G7155-MONOMER\n",
+      "no protein for G7209-MONOMER\n",
+      "no protein for G7224-MONOMER\n",
+      "2700\n",
+      "2800\n",
+      "no protein for G7376-MONOMER\n",
+      "no protein for G7383-MONOMER\n",
+      "no protein for G7389-MONOMER\n",
+      "no protein for G7470-MONOMER\n",
+      "no protein for G7474-MONOMER\n",
+      "no protein for G7475-MONOMER\n",
+      "no protein for G7476-MONOMER\n",
+      "no protein for G7478-MONOMER\n",
+      "no protein for G7479-MONOMER\n",
+      "no protein for G7482-MONOMER\n",
+      "2900\n",
+      "no protein for G7515-MONOMER\n",
+      "no protein for G7557-MONOMER\n",
+      "no protein for G7585-MONOMER\n",
+      "3000\n",
+      "no protein for G7633-MONOMER\n",
+      "no protein for G7671-MONOMER\n",
+      "3100\n",
+      "no protein for G7760-MONOMER\n",
+      "no protein for G7798-MONOMER\n",
+      "no protein for G7863-MONOMER\n",
+      "no protein for G7898-MONOMER\n",
+      "3200\n",
+      "no protein for G7902-MONOMER\n",
+      "no protein for G7903-MONOMER\n",
+      "no protein for G7904-MONOMER\n",
+      "no protein for G7907-MONOMER\n",
+      "no protein for G7918-MONOMER\n",
+      "no protein for G7934-MONOMER\n",
+      "no protein for G8205-MONOMER\n",
+      "no protein for G8221-MONOMER\n",
+      "no protein for GATC-MONOMER\n",
+      "3300\n",
+      "3400\n",
+      "3500\n",
+      "no dblink for MONOMER0-1241\n",
+      "no protein for MONOMER0-2653\n",
+      "no protein for MONOMER0-2666\n",
+      "no protein for MONOMER0-2667\n",
+      "no uniprot id for MONOMER0-2748\n",
+      "no uniprot id for MONOMER0-2755\n",
+      "no uniprot id for MONOMER0-2756\n",
+      "no uniprot id for MONOMER0-2757\n",
+      "no uniprot id for MONOMER0-2761\n",
+      "no protein for MONOMER0-2778\n",
+      "3600\n",
+      "no uniprot id for MONOMER0-2824\n",
+      "no uniprot id for MONOMER0-2825\n",
+      "no uniprot id for MONOMER0-2851\n",
+      "no dblink for MONOMER0-4223\n",
+      "no uniprot id for MONOMER0-4229\n",
+      "no uniprot id for MONOMER0-4230\n",
+      "no uniprot id for MONOMER0-4231\n",
+      "no uniprot id for MONOMER0-4246\n",
+      "no uniprot id for MONOMER0-4247\n",
+      "no uniprot id for MONOMER0-4248\n",
+      "no uniprot id for MONOMER0-4249\n",
+      "no uniprot id for MONOMER0-4255\n",
+      "no uniprot id for MONOMER0-4256\n",
+      "no uniprot id for MONOMER0-4257\n",
+      "no uniprot id for MONOMER0-4258\n",
+      "no uniprot id for MONOMER0-4259\n",
+      "no uniprot id for MONOMER0-4345\n",
+      "no uniprot id for MONOMER0-4346\n",
+      "no protein for MONOMER0-4386\n",
+      "no protein for MONOMER0-4395\n",
+      "3700\n",
+      "no dblink for MONOMER0-4509\n",
+      "no uniprot id for MONOMER0-4519\n",
+      "no uniprot id for MONOMER0-4521\n",
+      "3800\n",
+      "3900\n",
+      "no protein for PD00338\n",
+      "no protein for PD03576\n",
+      "4000\n",
+      "no protein for PHNE-MONOMER\n",
+      "4100\n",
+      "4200\n",
+      "4300\n",
+      "no protein for YCJV-MONOMER\n",
+      "no protein for YGAY-MONOMER\n",
+      "no protein for YHDW-MONOMER\n",
+      "4400\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(len(proteins_df.index)):\n",
+    "    if i % 100 == 0:\n",
+    "        print(i)\n",
+    "\n",
+    "    protein = proteins_df.loc[i, 'id']\n",
+    "\n",
+    "    req_str = f'https://websvc.biocyc.org/getxml?id=ECOLI:{protein}&detail=high'\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    if r.status_code != 200:\n",
+    "        print(protein, r.status_code)\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO ECOCYC ENTRY'\n",
+    "        continue\n",
+    "\n",
+    "    o = xmltodict.parse(r.content)['ptools-xml']\n",
+    "\n",
+    "    if 'Protein' not in o.keys():\n",
+    "        print(f'no protein for {protein}')\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO PROTEIN ENTRY'\n",
+    "        continue\n",
+    "    elif 'dblink' not in o['Protein'].keys():\n",
+    "        print(f'no dblink for {protein}')\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO DBLINK ENTRY'\n",
+    "        continue\n",
+    "\n",
+    "    o = o['Protein']['dblink']\n",
+    "\n",
+    "    if type(o) is dict:\n",
+    "        o = [o]\n",
+    "\n",
+    "    found = False\n",
+    "    for data_source in o:\n",
+    "        if data_source['dblink-db'] == 'UNIPROT' and 'dblink-oid' in data_source.keys():\n",
+    "            uniprot_id = data_source['dblink-oid']\n",
+    "\n",
+    "            proteins_df.loc[i, 'uniprot_id'] = uniprot_id\n",
+    "\n",
+    "            found = True\n",
+    "\n",
+    "    if not found:\n",
+    "        print(f'no uniprot id for {protein}')\n",
+    "        proteins_df.loc[i, 'uniprot_id'] = 'NO UNIPROT ENTRY'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T18:08:01.390251Z",
+     "start_time": "2023-06-23T17:51:08.885980Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
    "outputs": [],
    "source": [
-    "s = requests.Session() # create session\n",
-    "# Post login credentials to session:\n",
-    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+    "proteins_df.to_csv('notebooks/fbagd/proteins.csv', index=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T18:22:13.135254Z",
+     "start_time": "2023-06-23T18:22:13.118803Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                            id  \\\n0      1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER   \n1                                1-PFK-MONOMER   \n2             2-DEHYDROPANTOATE-REDUCT-MONOMER   \n3                 2-ISOPROPYLMALATESYN-MONOMER   \n4     2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER   \n...                                        ...   \n4415                              YTFR-MONOMER   \n4416                              YTFT-MONOMER   \n4417                              ZNUA-MONOMER   \n4418                              ZNUB-MONOMER   \n4419                              ZNUC-MONOMER   \n\n                                            common_name uniprot_id  \n0     1-acylglycerol-3-phosphate <i>O</i>-acyltransf...     P26647  \n1                                 1-phosphofructokinase     P0AEW9  \n2                         2-dehydropantoate 2-reductase     P0A9J4  \n3                            2-isopropylmalate synthase     P09151  \n4     bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...     P0A887  \n...                                                 ...        ...  \n4415  galactofuranose ABC transporter putative ATP b...     Q6BEX0  \n4416  galactofuranose ABC transporter putative membr...     P39328  \n4417  Zn<sup>2+</sup> ABC transporter periplasmic bi...     P39172  \n4418   Zn<sup>2+</sup> ABC transporter membrane subunit     P39832  \n4419  Zn<sup>2+</sup> ABC transporter ATP binding su...     P0A9X1  \n\n[4420 rows x 3 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>common_name</th>\n      <th>uniprot_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER</td>\n      <td>1-acylglycerol-3-phosphate &lt;i&gt;O&lt;/i&gt;-acyltransf...</td>\n      <td>P26647</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-PFK-MONOMER</td>\n      <td>1-phosphofructokinase</td>\n      <td>P0AEW9</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2-DEHYDROPANTOATE-REDUCT-MONOMER</td>\n      <td>2-dehydropantoate 2-reductase</td>\n      <td>P0A9J4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2-ISOPROPYLMALATESYN-MONOMER</td>\n      <td>2-isopropylmalate synthase</td>\n      <td>P09151</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2-OCTAPRENYL-METHOXY-BENZOQ-METH-MONOMER</td>\n      <td>bifunctional 2-octaprenyl-6-methoxy-1,4-benzoq...</td>\n      <td>P0A887</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4415</th>\n      <td>YTFR-MONOMER</td>\n      <td>galactofuranose ABC transporter putative ATP b...</td>\n      <td>Q6BEX0</td>\n    </tr>\n    <tr>\n      <th>4416</th>\n      <td>YTFT-MONOMER</td>\n      <td>galactofuranose ABC transporter putative membr...</td>\n      <td>P39328</td>\n    </tr>\n    <tr>\n      <th>4417</th>\n      <td>ZNUA-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter periplasmic bi...</td>\n      <td>P39172</td>\n    </tr>\n    <tr>\n      <th>4418</th>\n      <td>ZNUB-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter membrane subunit</td>\n      <td>P39832</td>\n    </tr>\n    <tr>\n      <th>4419</th>\n      <td>ZNUC-MONOMER</td>\n      <td>Zn&lt;sup&gt;2+&lt;/sup&gt; ABC transporter ATP binding su...</td>\n      <td>P0A9X1</td>\n    </tr>\n  </tbody>\n</table>\n<p>4420 rows × 3 columns</p>\n</div>"
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proteins_df = pd.read_csv('notebooks/fbagd/proteins.csv')\n",
+    "proteins_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T22:44:47.936315Z",
+     "start_time": "2023-06-23T22:44:47.922293Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Use uniprot id to get cofactor comments"
    ],
    "metadata": {
     "collapsed": false
@@ -105,35 +411,695 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 105,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Empty DataFrame\nColumns: [protein, cofactor_uniprot_name, cofactor_uniprot_id, cofactor_uniprot_db, comment]\nIndex: []",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>protein</th>\n      <th>cofactor_uniprot_name</th>\n      <th>cofactor_uniprot_id</th>\n      <th>cofactor_uniprot_db</th>\n      <th>comment</th>\n    </tr>\n  </thead>\n  <tbody>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cofactor_slot_df = pd.DataFrame(columns=['protein', 'cofactor_uniprot_name', 'cofactor_uniprot_id', 'cofactor_uniprot_db', 'cofactor_comment', 'subunit_comment'])\n",
+    "cofactor_slot_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T22:47:10.501848Z",
+     "start_time": "2023-06-23T22:47:10.499336Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
    "outputs": [
     {
-     "ename": "TypeError",
-     "evalue": "'int' object is not iterable",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
-      "\u001B[0;32m/var/folders/dx/0239zgvj0tgf46b5h8l7v_fc0000gn/T/ipykernel_89907/3715509847.py\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m      1\u001B[0m \u001B[0;31m# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m----> 2\u001B[0;31m \u001B[0;32mfor\u001B[0m \u001B[0mi\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mlen\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mindex\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m      3\u001B[0m     \u001B[0mcomplex\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpre_complex_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mi\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'complex'\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      4\u001B[0m     \u001B[0mreq_str\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34mf'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      5\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
-      "\u001B[0;31mTypeError\u001B[0m: 'int' object is not iterable"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "\n",
+      "\n",
+      "P26647\n",
+      "\n",
+      "\n",
+      "P0AEW9\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Can also use Mn(2+) or Co(2+), with lower efficiency.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A9J4\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P09151\n",
+      "Cofactor 1, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A887\n",
+      "Subunit:  Component of the Ubi complex metabolon, which regroups five ubiquinone biosynthesis proteins (UbiE, UbiF, UbiG, UbiH and UbiI) and two accessory factors (UbiK and the lipid-binding protein UbiJ).\n",
+      "\n",
+      "\n",
+      "P0A6A0\n",
+      "\n",
+      "\n",
+      "P31057\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Cofactor 1, option 3 Co(2+) CHEBI:48828 ChEBI\n",
+      "Cofactor 1, option 4 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit. Can also use Mn(2+), Co(2+) and Zn(2+) to a lesser extent.\n",
+      "Subunit:  Homodecamer; pentamer of dimers.\n",
+      "\n",
+      "\n",
+      "P30125\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) or Mn(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AEK2\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P0AAI5\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AGK1\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Can also use Mn(2+) and Co(2+) with lower efficiency.\n",
+      "\n",
+      "\n",
+      "P0A796\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P06999\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P00350\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P52697\n",
+      "\n",
+      "\n",
+      "P0AET8\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P12998\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P31119\n",
+      "\n",
+      "\n",
+      "P30750\n",
+      "Subunit:  The complex is composed of two ATP-binding proteins (MetN), two transmembrane proteins (MetI) and a solute-binding protein (MetQ).\n",
+      "\n",
+      "\n",
+      "P46133\n",
+      "\n",
+      "\n",
+      "P0A6A3\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Mg(2+). Can also accept Mn(2+).\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P00894\n",
+      "Subunit:  Dimer of large and small chains.\n",
+      "\n",
+      "\n",
+      "P00893\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Cofactor 2, option 1 thiamine diphosphate CHEBI:58937 ChEBI\n",
+      "Comment:  Binds 1 thiamine pyrophosphate per subunit.\n",
+      "Subunit:  Dimer of large and small chains.\n",
+      "\n",
+      "\n",
+      "P76461\n",
+      "\n",
+      "\n",
+      "P0A6C8\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P23908\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Cofactor 1, option 2 Co(2+) CHEBI:48828 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) or Co(2+) ions per subunit.\n",
+      "Cofactor 2, option 1 glutathione CHEBI:57925 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P18335\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "Comment:  Binds 1 pyridoxal phosphate per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6L4\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P25516\n",
+      "Cofactor 1, option 1 [4Fe-4S] cluster CHEBI:49883 ChEBI\n",
+      "Comment:  Binds 1 [4Fe-4S] cluster per subunit.\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P36683\n",
+      "Cofactor 1, option 1 [4Fe-4S] cluster CHEBI:49883 ChEBI\n",
+      "Comment:  Binds 1 [4Fe-4S] cluster per subunit.\n",
+      "Subunit:  Monomer. AcnB can also form a homodimer. The monomer-homodimer transition is dependent on iron availability and the carboxymethylation of C-273 inhibits the dimer formation.\n",
+      "\n",
+      "\n",
+      "P69330\n",
+      "Subunit:  Oligomer with a subunit composition of (alpha,beta,gamma)6.\n",
+      "\n",
+      "\n",
+      "P31224\n",
+      "Subunit:  Homotrimer, with large domains that extend into the periplasm, interacts with AcrA and TolC. AcrA may be required to stably link this protein and TolC. Interacts with AcrZ. Part of the AcrA-AcrB-AcrZ-TolC efflux pump.\n",
+      "\n",
+      "\n",
+      "P24177\n",
+      "\n",
+      "\n",
+      "P24181\n",
+      "Subunit:  Part of the tripartite efflux system AcrEF-TolC, which is composed of an inner membrane transporter, AcrF, a periplasmic membrane fusion protein, AcrE, and an outer membrane component, TolC. The complex forms a large protein conduit and can translocate molecules across both the inner and outer membranes (Probable).\n",
+      "\n",
+      "\n",
+      "P27550\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Forms a 1:1 complex with CobB/NAD-dependent deacetylase.\n",
+      "\n",
+      "\n",
+      "P0ABK5\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer (Ref.6, PubMed:27531961). Forms a cysteine synthase complex with 1 copy of CysE (By similarity).\n",
+      "Subunit:  (Microbial infection) Interacts with CdiA-CT from strain 536 / UPEC, this is blocked upon preincubation with O-acetyl-L-serine. CysK forms a complex with CdiA-CT/CdiI (PubMed:22333533). One CdiA toxin subunit binds to each subunit of the CysK homodimer, and one CdiI immunity protein binds to each toxin subunit; the immune complex is thus a dimer of trimers. The 4 C-terminal residues of CdiA fit into the active site of CysK (PubMed:27531961).\n",
+      "\n",
+      "\n",
+      "P16703\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "Q47146\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P69451\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P28305\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P22333\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 zinc ion per subunit.\n",
+      "\n",
+      "\n",
+      "P69503\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P69441\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P00936\n",
+      "\n",
+      "\n",
+      "P0A7D4\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6J1\n",
+      "\n",
+      "\n",
+      "P25437\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) ions per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A9Q7\n",
+      "Cofactor 1, option 1 Fe(2+) CHEBI:29033 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Forms long filaments, called spirosomes (PubMed:31586059, PubMed:32188856, PubMed:32523125). Forms rod-like ultrastructures composed of 20-60 identical subunits (PubMed:1325457). Two monomers form a dimer in a head-to-head arm-crossing fashion through the ALDH domains (PubMed:31586059). Subsequently, two dimers form one helical pitch via the interaction of ADH domains in a tail-to-tail manner (PubMed:31586059, PubMed:32523125). These units are further assembled into spirosomes (PubMed:31586059, PubMed:32188856, PubMed:32523125). Formation of these spirosomes is required for activity (PubMed:31586059, PubMed:32188856, PubMed:32523125). Can be isolated in vitro in a wide range of oligomeric states (PubMed:31586059).\n",
+      "\n",
+      "\n",
+      "P39451\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) ions per subunit.\n",
+      "\n",
+      "\n",
+      "P13035\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P42909\n",
+      "\n",
+      "\n",
+      "P42910\n",
+      "\n",
+      "\n",
+      "P42911\n",
+      "\n",
+      "\n",
+      "P36881\n",
+      "\n",
+      "\n",
+      "P60651\n",
+      "Cofactor 1, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P15639\n",
+      "\n",
+      "\n",
+      "P08178\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AB77\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "Comment:  Binds 1 pyridoxal phosphate per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6B4\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P29012\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "\n",
+      "\n",
+      "P00957\n",
+      "Cofactor 1, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 zinc ion per subunit; it is not clear where this binding occurs.\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P37685\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P23883\n",
+      "\n",
+      "\n",
+      "P0A9C3\n",
+      "\n",
+      "\n",
+      "P00634\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion.\n",
+      "Cofactor 2, option 1 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 2 Zn(2+) ions.\n",
+      "Subunit:  Isozymes 1 and 3 are a dimer of identical chains, isozyme 2 is a dimer of heterogeneous chains, one of each of the subunits from isozymes 1 and 3.\n",
+      "\n",
+      "\n",
+      "P26612\n",
+      "Cofactor 1, option 1 Ca(2+) CHEBI:29108 ChEBI\n",
+      "Comment:  Binds 1 Ca(2+) ion per subunit.\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P25718\n",
+      "Cofactor 1, option 1 Ca(2+) CHEBI:29108 ChEBI\n",
+      "Comment:  Binds 1 Ca(2+) ion per subunit.\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P38038\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "Comment:  Binds 1 FAD per subunit.\n",
+      "Cofactor 2, option 1 FMN CHEBI:58210 ChEBI\n",
+      "Comment:  Binds 1 FMN per subunit.\n",
+      "Subunit:  Alpha(8)-beta(8). The alpha component is a flavoprotein, the beta component is a hemoprotein.\n",
+      "\n",
+      "\n",
+      "P06720\n",
+      "Cofactor 1, option 1 NAD(+) CHEBI:57540 ChEBI\n",
+      "Comment:  Binds 1 NAD(+) per subunit.\n",
+      "Cofactor 2, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mn(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0A6L7\n",
+      "\n",
+      "\n",
+      "P42604\n",
+      "Cofactor 1, option 1 Fe(2+) CHEBI:29033 ChEBI\n",
+      "Cofactor 1, option 2 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Mn(2+) can substitute for iron, but in higher concentrations. Cannot use Fe(3+), Ni(2+) or Mg(2+).\n",
+      "\n",
+      "\n",
+      "P46883\n",
+      "Cofactor 1, option 1 Cu cation CHEBI:23378 ChEBI\n",
+      "Cofactor 1, option 2 Zn(2+) CHEBI:29105 ChEBI\n",
+      "Comment:  Binds 1 copper ion per subunit. Can also use zinc ion as cofactor (By similarity).\n",
+      "Cofactor 2, option 1 Ca(2+) CHEBI:29108 ChEBI\n",
+      "Comment:  Binds 2 calcium ions per subunit.\n",
+      "Cofactor 3, option 1 L-topaquinone CHEBI:79027 ChEBI\n",
+      "Comment:  Contains 1 topaquinone per subunit.\n",
+      "Cofactor 4, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mn(2+) ion per subunit.\n",
+      "Subunit:  Homodimer.\n",
+      "\n",
+      "\n",
+      "P0AE12\n",
+      "Subunit:  Homohexamer. Trimer of dimers.\n",
+      "\n",
+      "\n",
+      "P0AE16\n",
+      "\n",
+      "\n",
+      "P69681\n",
+      "Subunit:  Homotrimer (PubMed:12023896, PubMed:15563598, PubMed:15361618, PubMed:17040913). In response to elevation of the extracellular ammonium concentration, interacts and forms a complex with GlnK (PubMed:10637624, PubMed:11847102, PubMed:14668330, PubMed:17220269, PubMed:17190799, PubMed:16864585, PubMed:20639578). Interacts with GlnK with a stoichiometry of AmtB(3):GlnK(3) (PubMed:17220269, PubMed:17190799). Sequestration of GlnK is reversible (PubMed:14668330).\n",
+      "\n",
+      "\n",
+      "P15977\n",
+      "\n",
+      "\n",
+      "P0A9C0\n",
+      "Cofactor 1, option 1 FAD CHEBI:57692 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Cofactor 2, option 1 FMN CHEBI:58210 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Composed of a catalytic GlpA/B dimer and of membrane bound GlpC.\n",
+      "\n",
+      "\n",
+      "P13033\n",
+      "Cofactor 1, option 1 FMN CHEBI:58210 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Composed of a catalytic GlpA/B dimer and of membrane bound GlpC.\n",
+      "\n",
+      "\n",
+      "P0A996\n",
+      "Subunit:  Composed of a catalytic GlpA/B dimer and of GlpC.\n",
+      "\n",
+      "\n",
+      "P0A962\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P00805\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P77610\n",
+      "\n",
+      "\n",
+      "P00895\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Subunit:  Heterotetramer consisting of two non-identical subunits: a beta subunit (TrpG) and a large lpha subunit (TrpE).\n",
+      "\n",
+      "\n",
+      "P00904\n",
+      "Subunit:  Heterotetramer consisting of two non-identical subunits: a beta subunit (TrpG) and a large alpha subunit (TrpE).\n",
+      "\n",
+      "\n",
+      "P0AE22\n",
+      "Cofactor 1, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "Comment:  Binds 1 Mg(2+) ion per subunit.\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P07102\n",
+      "Subunit:  Monomer.\n",
+      "\n",
+      "\n",
+      "P26458\n",
+      "Cofactor 1, option 1 heme CHEBI:30413 ChEBI\n",
+      "Comment:  May bind up to 3 heme groups per complex.\n",
+      "Subunit:  Heterodimer of subunits I and II.\n",
+      "\n",
+      "\n",
+      "P26459\n",
+      "Cofactor 1, option 1 heme CHEBI:30413 ChEBI\n",
+      "Comment:  May bind up to 3 heme groups per complex.\n",
+      "Subunit:  Heterodimer of subunits I and II.\n",
+      "\n",
+      "\n",
+      "P60844\n",
+      "Subunit:  Homotetramer.\n",
+      "\n",
+      "\n",
+      "P08202\n",
+      "Cofactor 1, option 1 Mn(2+) CHEBI:29035 ChEBI\n",
+      "Comment:  Binds 1 Mn(2+) ion per subunit.\n",
+      "Subunit:  Homohexamer.\n",
+      "\n",
+      "\n",
+      "P0AE24\n",
+      "\n",
+      "\n",
+      "P02924\n",
+      "\n",
+      "\n",
+      "P0AAF3\n",
+      "Subunit:  The complex is composed of two ATP-binding proteins (AraG), two transmembrane proteins (AraH) and a solute-binding protein (AraF).\n",
+      "\n",
+      "\n",
+      "P0AE26\n",
+      "\n",
+      "\n",
+      "P23910\n",
+      "\n",
+      "\n",
+      "P0A9Q1\n",
+      "\n",
+      "\n",
+      "P0AEC3\n",
+      "\n",
+      "\n",
+      "P0AAE5\n",
+      "\n",
+      "\n",
+      "P21170\n",
+      "Cofactor 1, option 1 pyridoxal 5'-phosphate CHEBI:597326 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Cofactor 2, option 1 Mg(2+) CHEBI:18420 ChEBI\n",
+      "No cofactor slot comment\n",
+      "Subunit:  Homotetramer.\n"
      ]
     }
    ],
    "source": [
-    "# for each row of pre_complex_df, get the monomers of the complex and add to set of monomers.\n",
-    "for i in len(pre_complex_df.index):\n",
-    "    complex = pre_complex_df.loc[i, 'complex']\n",
-    "    req_str = f'https://websvc.biocyc.org/apixml?fn=monomers-of-protein&id=ECOLI:{complex}&detail=low'\n",
+    "for i in range(100): # range(len(proteins_df.index)):\n",
+    "    if i % 100 == 0:\n",
+    "        print(i)\n",
+    "\n",
+    "    protein = proteins_df.loc[i, 'uniprot_id']\n",
+    "\n",
+    "    if protein in ['NO UNIPROT ENTRY', 'NO PROTEIN ENTRY', 'NO DBLINK ENTRY', 'NO ECOCYC ENTRY']:\n",
+    "        continue\n",
+    "\n",
+    "    # use uniprot api to get protein associated with uniprot id\n",
+    "    # req_str = f'https://www.uniprot.org/uniprot/{protein}.xml'\n",
+    "    req_str = f'https://rest.uniprot.org/uniprotkb/{protein}.xml'\n",
     "\n",
     "    r = s.get(req_str)\n",
     "    o = xmltodict.parse(r.content)\n",
-    "\n"
+    "\n",
+    "    print('\\n\\n' + protein)\n",
+    "\n",
+    "    cofactor_n = 0\n",
+    "\n",
+    "    if 'comment' in o['uniprot']['entry'].keys():\n",
+    "\n",
+    "        comments = o['uniprot']['entry']['comment']\n",
+    "\n",
+    "        if type(comments) is dict:\n",
+    "            comments = [comments]\n",
+    "\n",
+    "        for comment in comments:\n",
+    "            if comment['@type'] == 'cofactor':\n",
+    "\n",
+    "\n",
+    "                cofactor_n += 1\n",
+    "                cofactor_slot = comment['cofactor']\n",
+    "\n",
+    "                if type(cofactor_slot) is dict:\n",
+    "                    cofactor_slot = [cofactor_slot]\n",
+    "\n",
+    "                for j, cofactor in enumerate(cofactor_slot):\n",
+    "                    print(f'Cofactor {cofactor_n}, option {j+1}', cofactor['name'], cofactor['dbReference']['@id'], cofactor['dbReference']['@type'])\n",
+    "                    cofactor_slot_df.append({'protein':protein,\n",
+    "                                                                'cofactor_uniprot_name':cofactor['name'],\n",
+    "                                                                'cofactor_uniprot_id':cofactor['dbReference']['@id'],\n",
+    "                                                                'cofactor_uniprot_db':cofactor['dbReference']['@type']}, ignore_index=True)\n",
+    "\n",
+    "                    # proteins_df.loc[i, 'cofactor_uniprot_name'] = cofactor['cofactor']['name']\n",
+    "                    # proteins_df.loc[i, 'cofactor_uniprot_id'] = cofactor['cofactor']['dbReference']['@id']\n",
+    "                    # proteins_df.loc[i, 'cofactor_uniprot_db'] = cofactor['cofactor']['dbReference']['@type']\n",
+    "\n",
+    "                if 'text' in comment.keys():\n",
+    "                    if type(comment['text']) is dict:\n",
+    "                        print('Comment: ',comment['text']['#text'])\n",
+    "                    else:\n",
+    "                        print('Comment: ',comment['text'])\n",
+    "                else:\n",
+    "                    print('No cofactor slot comment')\n",
+    "\n",
+    "            if comment['@type'] == 'subunit':\n",
+    "                if 'text' in comment.keys():\n",
+    "                    if type(comment['text']) is dict:\n",
+    "                        print('Subunit: ', comment['text']['#text'])\n",
+    "                    else:\n",
+    "                        print('Subunit: ', comment['text'])\n",
+    "                else:\n",
+    "                    print('Subunit: no subunit comment')\n",
+    "\n",
+    "    else:\n",
+    "        print('no protein comment')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-23T22:30:06.355344Z",
+     "start_time": "2023-06-23T22:29:48.207011Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'@type': 'function',\n",
+      "  'text': 'The nitrate reductase enzyme complex allows E.coli to use nitrate '\n",
+      "          'as an electron acceptor during anaerobic growth. The alpha chain is '\n",
+      "          'the actual site of nitrate reduction.'},\n",
+      " {'@type': 'catalytic activity',\n",
+      "  'reaction': {'dbReference': [{'@id': 'RHEA:56144', '@type': 'Rhea'},\n",
+      "                               {'@id': 'CHEBI:15377', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:16301', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:17632', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:24646', '@type': 'ChEBI'},\n",
+      "                               {'@id': 'CHEBI:132124', '@type': 'ChEBI'},\n",
+      "                               {'@id': '1.7.5.1', '@type': 'EC'}],\n",
+      "               'text': 'a quinol + nitrate = a quinone + H2O + nitrite'}},\n",
+      " {'@type': 'cofactor',\n",
+      "  'cofactor': {'dbReference': {'@id': 'CHEBI:49883', '@type': 'ChEBI'},\n",
+      "               'name': '[4Fe-4S] cluster'},\n",
+      "  'text': 'Binds 1 [4Fe-4S] cluster per subunit.'},\n",
+      " {'@type': 'cofactor',\n",
+      "  'cofactor': {'dbReference': {'@id': 'CHEBI:60539', '@type': 'ChEBI'},\n",
+      "               'name': 'Mo-bis(molybdopterin guanine dinucleotide)'},\n",
+      "  'text': 'Binds 1 molybdenum-bis(molybdopterin guanine dinucleotide) '\n",
+      "          '(Mo-bis-MGD) cofactor per subunit.'},\n",
+      " {'@type': 'subunit',\n",
+      "  'text': {'#text': 'Dimer of heterotrimers each composed of an alpha, a beta '\n",
+      "                    'and a gamma chain. Alpha and beta are catalytic chains; '\n",
+      "                    'gamma chains are involved in binding the enzyme complex '\n",
+      "                    'to the cytoplasmic membrane. Interacts with the NarJ '\n",
+      "                    'chaperone.',\n",
+      "           '@evidence': '2 3 4 7'}},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '13',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555067', 'id': 'P11349', 'label': 'narH'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '18',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555043', 'id': 'P0AF26', 'label': 'narJ'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '9',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555088', 'id': 'P19317', 'label': 'narW'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'interaction',\n",
+      "  'experiments': '5',\n",
+      "  'interactant': [{'@intactId': 'EBI-547248', 'id': 'P09152'},\n",
+      "                  {'@intactId': 'EBI-555059', 'id': 'P19318', 'label': 'narY'}],\n",
+      "  'organismsDiffer': 'false'},\n",
+      " {'@type': 'subcellular location',\n",
+      "  'subcellularLocation': {'location': 'Cell membrane',\n",
+      "                          'topology': 'Peripheral membrane protein'}},\n",
+      " {'@type': 'induction', 'text': 'By nitrate.'},\n",
+      " {'@type': 'domain',\n",
+      "  'text': {'#text': 'Apoenzyme contains at least 2 NarJ-binding sites, one '\n",
+      "                    'interfering with membrane anchoring and another being '\n",
+      "                    'involved in molybdenum insertion. The first binding-site '\n",
+      "                    'is a short peptide sequence near the N-terminus that '\n",
+      "                    'contains a twin-arginine homologous motif.',\n",
+      "           '@evidence': '2 3'}},\n",
+      " {'@type': 'similarity',\n",
+      "  'text': {'#text': 'Belongs to the prokaryotic molybdopterin-containing '\n",
+      "                    'oxidoreductase family.',\n",
+      "           '@evidence': '8'}},\n",
+      " {'@name': 'Worthington enzyme manual',\n",
+      "  '@type': 'online information',\n",
+      "  'link': {'@uri': 'https://www.worthington-biochem.com/NAR/'}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "protein = 'P09152'\n",
+    "\n",
+    "# use uniprot api to get protein associated with uniprot id\n",
+    "# req_str = f'https://www.uniprot.org/uniprot/{protein}.xml'\n",
+    "req_str = f'https://rest.uniprot.org/uniprotkb/{protein}.xml'\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "o = xmltodict.parse(r.content)\n",
+    "pp.pprint(o['uniprot']['entry']['comment'])"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-22T23:25:26.706122Z",
-     "start_time": "2023-06-22T23:25:26.586031Z"
+     "end_time": "2023-06-23T22:27:46.357512Z",
+     "start_time": "2023-06-23T22:27:45.245773Z"
     }
    }
   },
diff --git a/notebooks/fbagd/test_environments_new.ipynb b/notebooks/fbagd/test_environments_new.ipynb
index a277b8e3a..0a8579d0f 100644
--- a/notebooks/fbagd/test_environments_new.ipynb
+++ b/notebooks/fbagd/test_environments_new.ipynb
@@ -6,8 +6,8 @@
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:20.819104Z",
-     "start_time": "2023-06-12T18:28:19.838801Z"
+     "end_time": "2023-06-26T19:06:22.109616Z",
+     "start_time": "2023-06-26T19:06:21.054198Z"
     }
    },
    "outputs": [],
@@ -57,8 +57,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:21.346042Z",
-     "start_time": "2023-06-12T18:28:21.343559Z"
+     "end_time": "2023-06-26T19:06:22.114632Z",
+     "start_time": "2023-06-26T19:06:22.110641Z"
     }
    }
   },
@@ -77,8 +77,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.121207Z",
-     "start_time": "2023-06-12T18:28:21.560910Z"
+     "end_time": "2023-06-26T19:06:22.674606Z",
+     "start_time": "2023-06-26T19:06:22.112998Z"
     }
    }
   },
@@ -94,8 +94,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.820459Z",
-     "start_time": "2023-06-12T18:28:22.120377Z"
+     "end_time": "2023-06-26T19:06:23.487385Z",
+     "start_time": "2023-06-26T19:06:22.675431Z"
     }
    }
   },
@@ -110,8 +110,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.820636Z",
-     "start_time": "2023-06-12T18:28:22.816178Z"
+     "end_time": "2023-06-26T19:06:23.489604Z",
+     "start_time": "2023-06-26T19:06:23.487666Z"
     }
    }
   },
@@ -143,8 +143,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:22.871571Z",
-     "start_time": "2023-06-12T18:28:22.828492Z"
+     "end_time": "2023-06-26T19:06:23.501761Z",
+     "start_time": "2023-06-26T19:06:23.496061Z"
     }
    }
   },
@@ -181,8 +181,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.206271Z",
-     "start_time": "2023-06-12T18:28:22.862546Z"
+     "end_time": "2023-06-26T19:06:23.887908Z",
+     "start_time": "2023-06-26T19:06:23.506008Z"
     }
    }
   },
@@ -222,8 +222,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.435269Z",
-     "start_time": "2023-06-12T18:28:23.205539Z"
+     "end_time": "2023-06-26T19:06:24.137601Z",
+     "start_time": "2023-06-26T19:06:23.888894Z"
     }
    }
   },
@@ -247,8 +247,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.439852Z",
-     "start_time": "2023-06-12T18:28:23.434458Z"
+     "end_time": "2023-06-26T19:06:24.137784Z",
+     "start_time": "2023-06-26T19:06:24.115142Z"
     }
    }
   },
@@ -271,8 +271,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.582097Z",
-     "start_time": "2023-06-12T18:28:23.470361Z"
+     "end_time": "2023-06-26T19:06:24.261823Z",
+     "start_time": "2023-06-26T19:06:24.134582Z"
     }
    }
   },
@@ -298,8 +298,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.703445Z",
-     "start_time": "2023-06-12T18:28:23.571807Z"
+     "end_time": "2023-06-26T19:06:24.333696Z",
+     "start_time": "2023-06-26T19:06:24.306108Z"
     }
    }
   },
@@ -354,8 +354,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:23.715047Z",
-     "start_time": "2023-06-12T18:28:23.694161Z"
+     "end_time": "2023-06-26T19:06:24.337983Z",
+     "start_time": "2023-06-26T19:06:24.335409Z"
     }
    }
   },
@@ -387,8 +387,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:25.117248Z",
-     "start_time": "2023-06-12T18:28:25.112691Z"
+     "end_time": "2023-06-26T19:06:24.341392Z",
+     "start_time": "2023-06-26T19:06:24.338980Z"
     }
    }
   },
@@ -414,8 +414,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:25.378637Z",
-     "start_time": "2023-06-12T18:28:25.364308Z"
+     "end_time": "2023-06-26T19:06:24.352427Z",
+     "start_time": "2023-06-26T19:06:24.344104Z"
     }
    }
   },
@@ -435,8 +435,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:26.170340Z",
-     "start_time": "2023-06-12T18:28:25.813388Z"
+     "end_time": "2023-06-26T19:06:24.775269Z",
+     "start_time": "2023-06-26T19:06:24.354150Z"
     }
    }
   },
@@ -450,8 +450,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:26.364457Z",
-     "start_time": "2023-06-12T18:28:26.356622Z"
+     "end_time": "2023-06-26T19:06:24.777068Z",
+     "start_time": "2023-06-26T19:06:24.775416Z"
     }
    }
   },
@@ -472,8 +472,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:26.829891Z",
-     "start_time": "2023-06-12T18:28:26.613128Z"
+     "end_time": "2023-06-26T19:06:25.033011Z",
+     "start_time": "2023-06-26T19:06:24.775553Z"
     }
    }
   },
@@ -496,8 +496,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:27.036829Z",
-     "start_time": "2023-06-12T18:28:27.025861Z"
+     "end_time": "2023-06-26T19:06:25.037247Z",
+     "start_time": "2023-06-26T19:06:25.033497Z"
     }
    }
   },
@@ -533,8 +533,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:27.892020Z",
-     "start_time": "2023-06-12T18:28:27.648769Z"
+     "end_time": "2023-06-26T19:06:25.303692Z",
+     "start_time": "2023-06-26T19:06:25.039178Z"
     }
    }
   },
@@ -545,7 +545,7 @@
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -569,8 +569,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:28.043350Z",
-     "start_time": "2023-06-12T18:28:27.891699Z"
+     "end_time": "2023-06-26T19:06:25.457288Z",
+     "start_time": "2023-06-26T19:06:25.304614Z"
     }
    }
   },
@@ -588,8 +588,8 @@
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:29.559591Z",
-     "start_time": "2023-06-12T18:28:29.306677Z"
+     "end_time": "2023-06-26T19:06:25.817693Z",
+     "start_time": "2023-06-26T19:06:25.456944Z"
     }
    },
    "outputs": [
@@ -614,15 +614,15 @@
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:29.897028Z",
-     "start_time": "2023-06-12T18:28:29.886081Z"
+     "end_time": "2023-06-26T19:06:25.817958Z",
+     "start_time": "2023-06-26T19:06:25.817592Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "execution_count": 22,
      "metadata": {},
@@ -698,8 +698,8 @@
    "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:31.931220Z",
-     "start_time": "2023-06-12T18:28:30.205247Z"
+     "end_time": "2023-06-26T19:06:27.529252Z",
+     "start_time": "2023-06-26T19:06:25.817825Z"
     }
    },
    "outputs": [],
@@ -734,15 +734,15 @@
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:28:31.932898Z",
-     "start_time": "2023-06-12T18:28:31.931361Z"
+     "end_time": "2023-06-26T19:06:27.538169Z",
+     "start_time": "2023-06-26T19:06:27.535842Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG10470, EG10469, EG11801, EG11799, G7554, EG...   \n1               {EG10818, EG10814, EG10816, EG10815}   \n2           {EG11572, EG11573, G6566, EG11574, M007}   \n3  {EG10648, EG10644, EG10638, EG10647, EG10640, ...   \n4                          {M012, M010, M011, G6206}   \n5  {EG11829, G7496, EG10152, EG10002, EG10154, EG...   \n6                              {G7452, G6245, G7431}   \n\n                              Add                        Remove  \\\n0  {FUM[p], HYDROGEN-MOLECULE[p]}  {GLC[p], OXYGEN-MOLECULE[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-5256, RXN0-7399, RXN-16420}  \n1                          {ABC-28-RXN, RIBOKIN-RXN}  \n2  {ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...  \n5  {RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...  \n6                  {RXN-12093, RXN0-4022, RXN0-5507}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG10470, EG10469, EG11801, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{GLC[p], OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-5256, RXN0-7399, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10816, EG10815}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11572, EG11573, G6566, EG11574, M007}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{ABC-32-RXN, THIAZOLSYN3-RXN, RXN0-7298, THIKI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10648, EG10644, EG10638, EG10647, EG10640, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M012, M010, M011, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, TRANS-RXN0-457, RXN-10040, RXN-...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, G7496, EG10152, EG10002, EG10154, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN0-6254, RXN0-262, RXN-8340, RXN-17809, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G7452, G6245, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN-12093, RXN0-4022, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...  \n3                  {RXN0-3501, RXN-15119, RXN0-7124}  \n4  {TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...  \n5  {RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...  \n6                  {RXN0-4022, RXN-12093, RXN0-5507}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-3501, RXN-15119, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN-12093, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "execution_count": 24,
      "metadata": {},
@@ -763,12 +763,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 25,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:31:07.769416Z",
-     "start_time": "2023-06-12T18:31:03.901668Z"
+     "end_time": "2023-06-26T19:06:31.436967Z",
+     "start_time": "2023-06-26T19:06:27.546303Z"
     }
    },
    "outputs": [
@@ -853,21 +853,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 26,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:31:09.899813Z",
-     "start_time": "2023-06-12T18:31:09.888763Z"
+     "end_time": "2023-06-26T19:06:31.444941Z",
+     "start_time": "2023-06-26T19:06:31.442657Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  1.352359e+06   6.131092  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  8.324587e+05   5.920363  \n0  5.199004e+05   5.715920  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.300256e+06   6.114029  \n0  1.756030e+05   5.244532  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 29,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -880,12 +880,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 27,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
-      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -899,8 +899,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-12T18:31:13.114326Z",
-     "start_time": "2023-06-12T18:31:12.443767Z"
+     "end_time": "2023-06-26T19:06:32.082647Z",
+     "start_time": "2023-06-26T19:06:31.451785Z"
     }
    }
   }

From 2560444acdbf7d63b4eb24587a6144a8dc1e9a09 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:51:54 -0700
Subject: [PATCH 30/58] New folder for Tim

---
 .../test_environments_new.ipynb               | 929 ++++++++++++++++++
 1 file changed, 929 insertions(+)
 create mode 100644 notebooks/new_environments/test_environments_new.ipynb

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
new file mode 100644
index 000000000..0a8579d0f
--- /dev/null
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -0,0 +1,929 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:22.109616Z",
+     "start_time": "2023-06-26T19:06:21.054198Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
+    "\n",
+    "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a143cbbb-3570-4548-bc24-f499c070a880",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Import simulation output\n",
+    "\n",
+    "Before running this, run a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment. Use the default .json config."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-06-09'\n",
+    "experiment = 'fba-redux'\n",
+    "entry = f'{experiment}_{time}_{date}'\n",
+    "folder = f'out/fbagd/{entry}/'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:22.114632Z",
+     "start_time": "2023-06-26T19:06:22.110641Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "# output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:22.674606Z",
+     "start_time": "2023-06-26T19:06:22.112998Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [],
+   "source": [
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.487385Z",
+     "start_time": "2023-06-26T19:06:22.675431Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [],
+   "source": [
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.489604Z",
+     "start_time": "2023-06-26T19:06:23.487666Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Pandas automatically understands dicts of dicts as matrices."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'ACET[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'AMMONIUM[c]': [816253,\n  824154,\n  859469,\n  865921,\n  881095,\n  880175,\n  899327,\n  826879,\n  877100,\n  821741,\n  883986,\n  866915,\n  879898,\n  920315,\n  906384,\n  941731,\n  923156,\n  950892,\n  935505,\n  942198,\n  960592,\n  894699,\n  933352,\n  907005,\n  937700],\n 'BETAINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'BUTANAL[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CA+2[p]': [23,\n  162,\n  288,\n  396,\n  479,\n  545,\n  598,\n  641,\n  661,\n  687,\n  696,\n  715,\n  727,\n  737,\n  755,\n  766,\n  781,\n  788,\n  799,\n  806,\n  813,\n  821,\n  814,\n  816,\n  813],\n 'CARBON-DIOXIDE[p]': [-1978935,\n  -2187468,\n  -2252374,\n  -2277523,\n  -2299096,\n  -2333612,\n  -2359294,\n  -2360849,\n  -2380093,\n  -2377430,\n  -2398409,\n  -2401014,\n  -2406075,\n  -2433275,\n  -2431991,\n  -2444870,\n  -2449074,\n  -2467528,\n  -2466263,\n  -2472228,\n  -2491605,\n  -2470017,\n  -2473566,\n  -2476245,\n  -2477271],\n 'CARBON-MONOXIDE[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CH33ADO[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CL-[p]': [1,\n  156,\n  277,\n  380,\n  461,\n  526,\n  575,\n  618,\n  637,\n  662,\n  670,\n  688,\n  700,\n  710,\n  727,\n  736,\n  752,\n  759,\n  770,\n  776,\n  782,\n  790,\n  783,\n  786,\n  782],\n 'CO+2[p]': [2,\n  6,\n  11,\n  17,\n  20,\n  23,\n  25,\n  27,\n  28,\n  30,\n  29,\n  30,\n  30,\n  30,\n  32,\n  32,\n  33,\n  33,\n  35,\n  34,\n  34,\n  34,\n  34,\n  34,\n  34],\n 'CPD-10774[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-108[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CPD-1772[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-239[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-534[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-560[p]': [-1,\n  -186,\n  -331,\n  -454,\n  -550,\n  -627,\n  -687,\n  -737,\n  -760,\n  -790,\n  -799,\n  -822,\n  -835,\n  -847,\n  -867,\n  -879,\n  -897,\n  -906,\n  -919,\n  -926,\n  -933,\n  -943,\n  -935,\n  -937,\n  -934],\n 'CPD-564[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD0-2167[c]': [-2,\n  -13,\n  -26,\n  -35,\n  -41,\n  -46,\n  -52,\n  -54,\n  -56,\n  -58,\n  -59,\n  -59,\n  -61,\n  -61,\n  -65,\n  -66,\n  -66,\n  -66,\n  -68,\n  -68,\n  -69,\n  -70,\n  -69,\n  -70,\n  -68],\n 'D-ALANINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'D-LACTATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ETOH[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'FE+2[p]': [2,\n  221,\n  389,\n  536,\n  649,\n  739,\n  812,\n  870,\n  896,\n  931,\n  943,\n  969,\n  985,\n  999,\n  1023,\n  1038,\n  1057,\n  1069,\n  1085,\n  1092,\n  1101,\n  1112,\n  1104,\n  1106,\n  1102],\n 'FORMATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLC[p]': [767215,\n  841386,\n  906067,\n  928049,\n  955257,\n  974986,\n  997159,\n  976754,\n  1006624,\n  983157,\n  1019049,\n  1016114,\n  1022593,\n  1049309,\n  1046045,\n  1066408,\n  1061093,\n  1079737,\n  1074696,\n  1081093,\n  1094849,\n  1060890,\n  1078840,\n  1067741,\n  1080357],\n 'GLYCEROL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLALDEHYDE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLLATE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYDROGEN-MOLECULE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYPOXANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'INDOLE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'K+[p]': [-2,\n  5866,\n  10378,\n  14276,\n  17273,\n  19705,\n  21590,\n  23176,\n  23881,\n  24802,\n  25119,\n  25819,\n  26232,\n  26639,\n  27248,\n  27618,\n  28171,\n  28463,\n  28890,\n  29100,\n  29319,\n  29621,\n  29376,\n  29462,\n  29340],\n 'L-SELENOCYSTEINE[c]': [0,\n  2,\n  4,\n  6,\n  6,\n  8,\n  8,\n  8,\n  9,\n  10,\n  9,\n  10,\n  10,\n  10,\n  10,\n  11,\n  10,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11],\n 'METOH[p]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'MG+2[p]': [1,\n  260,\n  462,\n  634,\n  768,\n  876,\n  959,\n  1030,\n  1062,\n  1102,\n  1116,\n  1148,\n  1166,\n  1184,\n  1211,\n  1227,\n  1252,\n  1265,\n  1284,\n  1294,\n  1303,\n  1316,\n  1306,\n  1309,\n  1304],\n 'MI-PENTAKISPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'MN+2[p]': [1,\n  27,\n  47,\n  65,\n  79,\n  91,\n  99,\n  106,\n  109,\n  114,\n  115,\n  119,\n  120,\n  121,\n  125,\n  127,\n  129,\n  131,\n  133,\n  133,\n  134,\n  135,\n  134,\n  134,\n  135],\n 'NA+[p]': [1,\n  6,\n  10,\n  15,\n  18,\n  20,\n  23,\n  24,\n  24,\n  26,\n  26,\n  27,\n  27,\n  27,\n  28,\n  29,\n  29,\n  29,\n  30,\n  30,\n  31,\n  30,\n  31,\n  30,\n  30],\n 'NI+2[p]': [1,\n  16,\n  27,\n  39,\n  46,\n  53,\n  58,\n  62,\n  64,\n  67,\n  68,\n  69,\n  71,\n  71,\n  73,\n  74,\n  75,\n  77,\n  78,\n  78,\n  79,\n  80,\n  80,\n  79,\n  79],\n 'OXYGEN-MOLECULE[p]': [2034608,\n  2149055,\n  2169775,\n  2168956,\n  2164999,\n  2172935,\n  2188886,\n  2133919,\n  2168263,\n  2146433,\n  2180739,\n  2166280,\n  2178972,\n  2212392,\n  2200685,\n  2224984,\n  2219673,\n  2239282,\n  2227522,\n  2231438,\n  2251859,\n  2209197,\n  2224650,\n  2216657,\n  2233830],\n 'PROTON[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'Pi[p]': [70436,\n  67160,\n  81767,\n  90661,\n  98134,\n  101496,\n  108099,\n  92842,\n  105196,\n  99882,\n  110315,\n  106786,\n  112263,\n  118994,\n  117492,\n  126029,\n  123905,\n  127916,\n  124975,\n  125877,\n  128400,\n  118919,\n  123993,\n  119370,\n  126080],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'SUC[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'SULFATE[p]': [13270,\n  16725,\n  16326,\n  17173,\n  17738,\n  18317,\n  18681,\n  18770,\n  19097,\n  18900,\n  19534,\n  19392,\n  19624,\n  20053,\n  19680,\n  20245,\n  19773,\n  20662,\n  20209,\n  20502,\n  20850,\n  20064,\n  20524,\n  20620,\n  20212],\n 'THYMINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'URACIL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UREA[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'WATER[p]': [-3973467,\n  -1583451,\n  231207,\n  1898797,\n  3156435,\n  4193380,\n  4946897,\n  5844085,\n  5995275,\n  6542395,\n  6496191,\n  6851775,\n  6990345,\n  7037080,\n  7342363,\n  7392897,\n  7680402,\n  7720591,\n  7953426,\n  8021574,\n  8052271,\n  8377203,\n  8167460,\n  8271067,\n  8134592],\n 'XANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ZN+2[p]': [1,\n  16,\n  29,\n  41,\n  49,\n  54,\n  60,\n  64,\n  66,\n  69,\n  70,\n  71,\n  72,\n  73,\n  76,\n  77,\n  78,\n  79,\n  80,\n  81,\n  82,\n  82,\n  82,\n  82,\n  82]}"
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fba[\"estimated_exchange_dmdt\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.501761Z",
+     "start_time": "2023-06-26T19:06:23.496061Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
+    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
+    "sim_exchanges.head(10)\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(15, 5))\n",
+    "plt.plot(sim_exchanges.head(20), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_exchanges.index[:20]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "plt.yscale('log')\n",
+    "plt.ylabel('Flux counts')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:23.887908Z",
+     "start_time": "2023-06-26T19:06:23.506008Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[4, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(15, 5))\n",
+    "plt.plot(sim_fluxes.head(20), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_fluxes.index[:20]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "\n",
+    "\n",
+    "plt.ylabel('Flux counts')\n",
+    "# log scale\n",
+    "plt.yscale('log')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.137601Z",
+     "start_time": "2023-06-26T19:06:23.888894Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                                            4\nATPSYN-RXN (reverse)                                7963937.0\nmaintenance_reaction                                7600314.0\nNADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//N...  3656705.0\nTRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//...  2277523.0\nTRANS-RXN0-474                                      2168940.0\nRXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQ...  2168919.0\nTRANS-RXN-145                                       1898797.0\nGAPOXNPHOSPHN-RXN                                   1636060.0\nPHOSGLYPHOS-RXN (reverse)                           1636058.0\n3PGAREARR-RXN (reverse)                             1486502.0\n2PGADEHYDRAT-RXN                                    1486488.0\nPYRUVDEH-RXN                                        1150328.0\nPGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.               914733.0\nRXN0-7166                                            884407.0\nTRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/...   872057.0\nTRIOSEPISOMERIZATION-RXN (reverse)                   834966.0\nCITSYN-RXN                                           744564.0\nPHOSICITDEHASE-RXN                                   744358.0\nDEPHOSICITDEHASE-RXN                                 744358.0\nRXN-14047                                            744291.0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ATPSYN-RXN (reverse)</th>\n      <td>7963937.0</td>\n    </tr>\n    <tr>\n      <th>maintenance_reaction</th>\n      <td>7600314.0</td>\n    </tr>\n    <tr>\n      <th>NADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//NAD/CPD-9956/PROTON.46.</th>\n      <td>3656705.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//CARBON-DIOXIDE.47. (reverse)</th>\n      <td>2277523.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN0-474</th>\n      <td>2168940.0</td>\n    </tr>\n    <tr>\n      <th>RXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQUINONE-8/PROTON/WATER.59.</th>\n      <td>2168919.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-145</th>\n      <td>1898797.0</td>\n    </tr>\n    <tr>\n      <th>GAPOXNPHOSPHN-RXN</th>\n      <td>1636060.0</td>\n    </tr>\n    <tr>\n      <th>PHOSGLYPHOS-RXN (reverse)</th>\n      <td>1636058.0</td>\n    </tr>\n    <tr>\n      <th>3PGAREARR-RXN (reverse)</th>\n      <td>1486502.0</td>\n    </tr>\n    <tr>\n      <th>2PGADEHYDRAT-RXN</th>\n      <td>1486488.0</td>\n    </tr>\n    <tr>\n      <th>PYRUVDEH-RXN</th>\n      <td>1150328.0</td>\n    </tr>\n    <tr>\n      <th>PGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.</th>\n      <td>914733.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-7166</th>\n      <td>884407.0</td>\n    </tr>\n    <tr>\n      <th>TRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/PTSH-MONOMER.46.</th>\n      <td>872057.0</td>\n    </tr>\n    <tr>\n      <th>TRIOSEPISOMERIZATION-RXN (reverse)</th>\n      <td>834966.0</td>\n    </tr>\n    <tr>\n      <th>CITSYN-RXN</th>\n      <td>744564.0</td>\n    </tr>\n    <tr>\n      <th>PHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>DEPHOSICITDEHASE-RXN</th>\n      <td>744358.0</td>\n    </tr>\n    <tr>\n      <th>RXN-14047</th>\n      <td>744291.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sim_fluxes.head(20)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.137784Z",
+     "start_time": "2023-06-26T19:06:24.115142Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
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+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fba[\"reaction_catalyst_counts\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.261823Z",
+     "start_time": "2023-06-26T19:06:24.134582Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
+    "sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
+    "sim_catalysts"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.333696Z",
+     "start_time": "2023-06-26T19:06:24.306108Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Test changing nutrient composition"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "uptake = metabolism.allowed_exchange_uptake\n",
+    "uptake = set(uptake)\n",
+    "\n",
+    "# addition = set([\"CPD0-1074[c]\"])\n",
+    "addition = set([\n",
+    "        # \"FRU[p]\",\n",
+    "        # \"NITRATE[p]\"\n",
+    "        # 'THIAMINE[p]',\n",
+    "        # 'HYDROGEN-MOLECULE[p]',\n",
+    "        # 'FUM[p]'\n",
+    "])\n",
+    "removals = set([\n",
+    "                  # \"GLC[p]\",\n",
+    "               #      # 'AMMONIUM[c]',\n",
+    "               #      # 'WATER[p]'\n",
+    "               #       # 'Pi[p]',\n",
+    "               #       # 'SULFATE[p]'\n",
+    "               # 'OXYGEN-MOLECULE[p]'\n",
+    "])\n",
+    "\n",
+    "\n",
+    "uptake = uptake | addition\n",
+    "uptake = uptake - removals\n",
+    "uptake"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.337983Z",
+     "start_time": "2023-06-26T19:06:24.335409Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Use NetworkFlowModel class to run model"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "[[],\n 7130668,\n 7682916,\n 7655656,\n 7600314,\n 7529897,\n 7560265,\n 7566014,\n 7555646,\n 7555453,\n 7576138,\n 7568193,\n 7560014,\n 7555559,\n 7598335,\n 7584044,\n 7582321,\n 7600258,\n 7619933,\n 7613406,\n 7618277,\n 7667139,\n 7642944,\n 7617385,\n 7652652,\n 7642911]"
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fba[\"maintenance_target\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.341392Z",
+     "start_time": "2023-06-26T19:06:24.338980Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "7642911"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
+    "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]\n",
+    "maintenance"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.352427Z",
+     "start_time": "2023-06-26T19:06:24.344104Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "outputs": [],
+   "source": [
+    "model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.775269Z",
+     "start_time": "2023-06-26T19:06:24.354150Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "outputs": [],
+   "source": [
+    "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:24.777068Z",
+     "start_time": "2023-06-26T19:06:24.775416Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "solution: FlowResult = model.solve(\n",
+    "            homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "            maintenance_target=maintenance,\n",
+    "            kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "            binary_kinetic_idx=[],\n",
+    "            objective_weights=objective_weights,\n",
+    "            upper_flux_bound=100000000)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.033011Z",
+     "start_time": "2023-06-26T19:06:24.775553Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.Series(solution.exchanges).abs().sort_values(ascending=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.037247Z",
+     "start_time": "2023-06-26T19:06:25.033497Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2160x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cur_exchanges = pd.Series(solution.exchanges, index=metabolism.metabolite_names).abs().sort_values(ascending=False)\n",
+    "nonzero = len(cur_exchanges[cur_exchanges > 0])\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(30, 5))\n",
+    "plt.plot(cur_exchanges.head(nonzero), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(nonzero)], [i[:20] for i in cur_exchanges.index[:nonzero]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "plt.yscale('log')\n",
+    "plt.ylabel('Flux counts')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.303692Z",
+     "start_time": "2023-06-26T19:06:25.039178Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cur_fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names).abs().sort_values(ascending=False)\n",
+    "\n",
+    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "plt.figure(figsize=(15, 5))\n",
+    "plt.plot(cur_fluxes.head(20), 'o')\n",
+    "\n",
+    "# shorten all xtick names to 10 characters\n",
+    "plt.xticks([i for i in range(20)], [i[:20] for i in cur_fluxes.index[:20]], rotation=45, ha= 'right')\n",
+    "# make xticks aligned to right left of bar\n",
+    "plt.yscale('log')\n",
+    "plt.ylabel('Flux counts')\n",
+    "plt.title('Top 10 Fluxes')\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.457288Z",
+     "start_time": "2023-06-26T19:06:25.304614Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28db669f-93f3-4f5c-aea0-e23b6a811660",
+   "metadata": {},
+   "source": [
+    "## Connect to EcoCyc to go from Genes -> Reactions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.817693Z",
+     "start_time": "2023-06-26T19:06:25.456944Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:25.817958Z",
+     "start_time": "2023-06-26T19:06:25.817592Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_sets = {0: {\"Environment\": \"Hydrogen + fumarate, -O2, -Glc\",\n",
+    "                      \"Genes\": {\"EG10468\", \"EG10469\", \"EG10470\", \"EG11799\", \"EG11800\", \"EG11801\", \"G7554\"},\n",
+    "                      \"Add\": {\"FUM[p]\", 'HYDROGEN-MOLECULE[p]'},\n",
+    "                      \"Remove\": {\"GLC[p]\", \"OXYGEN-MOLECULE[p]\"},\n",
+    "                      },\n",
+    "                  \n",
+    "                  1: {\"Environment\": \"Ribose C-source\",\n",
+    "                      \"Genes\": {\"EG10814\", \"EG10815\", \"EG10816\", \"EG10818\"},\n",
+    "                      \"Add\": {\"D-Ribopyranose[p]\"},\n",
+    "                      \"Remove\": {\"GLC[p]\"},\n",
+    "                      },\n",
+    "                  \n",
+    "                  2: {\"Environment\": \"Thiamine salvaging\",\n",
+    "                      \"Genes\": {\"EG11574\", \"G6566\", \"M007\", \"EG11573\", \"EG11572\"},\n",
+    "                      \"Add\": {\"THIAMINE[p]\"},\n",
+    "                      \"Remove\": set(),\n",
+    "                      },\n",
+    "                  \n",
+    "                  3: {\"Environment\": \"Nitrate as reduction target\",\n",
+    "                      \"Genes\": {\"EG10638\", \"EG10639\", \"EG10640\", \"EG10644\", \"EG10647\", \"EG10648\"},\n",
+    "                      \"Add\": {\"NITRATE[p]\"},\n",
+    "                      \"Remove\": {\"OXYGEN-MOLECULE[p]\"},\n",
+    "                      },\n",
+    "                  \n",
+    "                  4: {\"Environment\": \"3-Phenylpropionate as carbon and energy source\",\n",
+    "                      \"Genes\": {\"M010\", \"M011\", \"M012\", \"G6206\"},\n",
+    "                      \"Add\": {\"3-PHENYLPROPIONATE[p]\"},\n",
+    "                      \"Remove\": {\"GLC[p]\"},\n",
+    "                      },\n",
+    "\n",
+    "                  5: {\"Environment\": \"Molybdenum cofactor synthesis\",\n",
+    "                      \"Genes\": {\"EG11595\", \"EG11666\", \"EG11597\", \"EG11598\", \"EG11829\", \"G7496\", \"EG10002\", \"EG10152\",\n",
+    "                                \"EG10153\", \"EG10154\"},\n",
+    "                      \"Add\": {\"CPD-3[p]\"},\n",
+    "                      \"Remove\": set(),\n",
+    "                      \"Demand\": {\"CPD-8123[c]\"},\n",
+    "                      },\n",
+    "\n",
+    "                  6: {\"Environment\": \"pre-Quenosine synthesis\",\n",
+    "                      \"Genes\": {\"G6245\", \"G7431\", \"G7452\"},\n",
+    "                      \"Add\": set(),\n",
+    "                      \"Remove\": set(),\n",
+    "                      \"Demand\": {\"7-AMINOMETHYL-7-DEAZAGUANINE[c]\"},\n",
+    "                      },\n",
+    "\n",
+    "\n",
+    "                  \n",
+    "                  # 5: {\"Genes\": set([\"EG10286\", \"EG10287\", \"EG10288\", \"EG10289\", \n",
+    "                  #                   \"EG10290\", \"EG10293\", \"EG10294\", \"EG10295\", \n",
+    "                  #                   \"EG10296\", \"EG10298\", \"EG10302\", \"EG10303\", \n",
+    "                  #                   \"EG10304\", \"EG10305\", \"EG10306\", \"G6414\"]), \n",
+    "                  #     \"Add\": set(),\n",
+    "                  #     \"Remove\": set(),\n",
+    "                  #     \"Environment\": \"Proper metal (iron) uptake\"}\n",
+    "                 }\n",
+    "\n",
+    "condition_df = pd.DataFrame(condition_sets).T\n",
+    "condition_df[\"Reactions\"] = [[np.nan]] * len(condition_df)\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].fillna(False)\n",
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:27.529252Z",
+     "start_time": "2023-06-26T19:06:25.817825Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "for i in range(len(condition_df.index)):\n",
+    "    \n",
+    "    genes = condition_df.loc[i, \"Genes\"]\n",
+    "    rxn_set = set()\n",
+    "\n",
+    "    for gene in genes:\n",
+    "        function = \"reactions-of-gene\"\n",
+    "        name = gene\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "        \n",
+    "        for rxn in o:\n",
+    "            if type(rxn) is not str: # no rxns\n",
+    "                rxn_set.add(rxn['@frameid'])\n",
+    "            else:\n",
+    "                print(gene, rxn)\n",
+    "            \n",
+    "    condition_df.at[i, \"Reactions\"] = rxn_set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:27.538169Z",
+     "start_time": "2023-06-26T19:06:27.535842Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...  \n3                  {RXN0-3501, RXN-15119, RXN0-7124}  \n4  {TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...  \n5  {RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...  \n6                  {RXN0-4022, RXN-12093, RXN0-5507}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-3501, RXN-15119, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN-12093, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bed4cb3d-8c43-44a6-9677-2769b81ade20",
+   "metadata": {},
+   "source": [
+    "## Quick and dirty loop (after init)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:31.436967Z",
+     "start_time": "2023-06-26T19:06:27.546303Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "finished Hydrogen + fumarate, -O2, -Glc\n",
+      "finished Ribose C-source\n",
+      "finished Thiamine salvaging\n",
+      "finished Nitrate as reduction target\n",
+      "finished 3-Phenylpropionate as carbon and energy source\n",
+      "finished Molybdenum cofactor synthesis\n",
+      "finished pre-Quenosine synthesis\n"
+     ]
+    }
+   ],
+   "source": [
+    "results_df = pd.DataFrame(columns=[\"Environment\", \"Reaction\", \"Flux\"])\n",
+    "\n",
+    "for i in range(len(condition_df)):\n",
+    "    condition_idx = i\n",
+    "\n",
+    "    uptake = metabolism.allowed_exchange_uptake\n",
+    "\n",
+    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
+    "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
+    "    if new_demand:\n",
+    "        for met in new_demand:\n",
+    "            homeostatic[met] = 100\n",
+    "\n",
+    "    uptake = set(uptake)\n",
+    "\n",
+    "    addition = condition_df.at[condition_idx, \"Add\"]\n",
+    "    removals = condition_df.at[condition_idx, \"Remove\"]\n",
+    "\n",
+    "    uptake = uptake | addition\n",
+    "    uptake = uptake - removals\n",
+    "\n",
+    "    model = NetworkFlowModel(\n",
+    "            stoich_arr=metabolism.stoichiometry,\n",
+    "            metabolites=metabolism.metabolite_names,\n",
+    "            reactions=metabolism.reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)\n",
+    "\n",
+    "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
+    "\n",
+    "\n",
+    "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "    solution: FlowResult = model.solve(\n",
+    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "                maintenance_target=maintenance,\n",
+    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "                binary_kinetic_idx=[],\n",
+    "                objective_weights=objective_weights,\n",
+    "                upper_flux_bound=100000000)\n",
+    "\n",
+    "    # Check flux\n",
+    "    fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names)\n",
+    "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
+    "    fluxes.columns = [\"Flux\"]\n",
+    "\n",
+    "    relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
+    "    relevant_rxn_idx = []\n",
+    "\n",
+    "    for rxn in relevant_rxns:\n",
+    "        relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
+    "\n",
+    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
+    "    \n",
+    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
+    "    \n",
+    "    for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
+    "        results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          relevant_nonzero_fluxes.index[j],\n",
+    "                          relevant_nonzero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "    print(f\"\"\"finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:31.444941Z",
+     "start_time": "2023-06-26T19:06:31.442657Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  8.324587e+05   5.920363  \n0  5.199004e+05   5.715920  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.300256e+06   6.114029  \n0  1.756030e+05   5.244532  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
+    "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
+    "results_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment\n",
+    "g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
+    "g.savefig(\"notebooks/fbagd/figures/rxns_light_up.pdf\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-26T19:06:32.082647Z",
+     "start_time": "2023-06-26T19:06:31.451785Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 036aadcdba27e3e94089b2ce5d3baf779812e1cb Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:58:36 -0700
Subject: [PATCH 31/58] Cleaned up notebook for Tim.

---
 .../test_environments_new.ipynb               | 315 ++++++------------
 1 file changed, 104 insertions(+), 211 deletions(-)

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 0a8579d0f..ea7ce1d2a 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 30,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:22.109616Z",
-     "start_time": "2023-06-26T19:06:21.054198Z"
+     "end_time": "2023-06-26T20:57:45.414004Z",
+     "start_time": "2023-06-26T20:57:45.412114Z"
     }
    },
    "outputs": [],
@@ -40,12 +40,14 @@
    "source": [
     "# Import simulation output\n",
     "\n",
-    "Before running this, run a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment. Use the default .json config."
+    "Before running this, I ran a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment, where we e.g. have dynamic demand for amino acids and nucleotides, and varying cell volumes.\n",
+    "\n",
+    "You don't have to do this for now. We'll use a single time step from the simulation output to test the network flow model on its own."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 31,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -57,14 +59,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:22.114632Z",
-     "start_time": "2023-06-26T19:06:22.110641Z"
+     "end_time": "2023-06-26T20:57:45.655960Z",
+     "start_time": "2023-06-26T20:57:45.654112Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 32,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -77,48 +79,36 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:22.674606Z",
-     "start_time": "2023-06-26T19:06:22.112998Z"
+     "end_time": "2023-06-26T20:57:46.343772Z",
+     "start_time": "2023-06-26T20:57:45.846198Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 33,
    "outputs": [],
    "source": [
+    "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
     "f = open(folder + 'agent_steps.pkl', 'rb')\n",
     "agent = dill.load(f)\n",
-    "f.close()"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.487385Z",
-     "start_time": "2023-06-26T19:06:22.675431Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "outputs": [],
-   "source": [
+    "f.close()\n",
+    "\n",
     "metabolism = agent['ecoli-metabolism-redux']\n",
-    "stoichiometry = metabolism.stoichiometry\n"
+    "stoichiometry = metabolism.stoichiometry"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.489604Z",
-     "start_time": "2023-06-26T19:06:23.487666Z"
+     "end_time": "2023-06-26T20:57:46.880479Z",
+     "start_time": "2023-06-26T20:57:46.345051Z"
     }
    }
   },
   {
    "cell_type": "markdown",
    "source": [
-    "Pandas automatically understands dicts of dicts as matrices."
+    "# Check molecule exchanges from simulation - sanity check."
    ],
    "metadata": {
     "collapsed": false
@@ -126,31 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "{'ACET[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'AMMONIUM[c]': [816253,\n  824154,\n  859469,\n  865921,\n  881095,\n  880175,\n  899327,\n  826879,\n  877100,\n  821741,\n  883986,\n  866915,\n  879898,\n  920315,\n  906384,\n  941731,\n  923156,\n  950892,\n  935505,\n  942198,\n  960592,\n  894699,\n  933352,\n  907005,\n  937700],\n 'BETAINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'BUTANAL[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CA+2[p]': [23,\n  162,\n  288,\n  396,\n  479,\n  545,\n  598,\n  641,\n  661,\n  687,\n  696,\n  715,\n  727,\n  737,\n  755,\n  766,\n  781,\n  788,\n  799,\n  806,\n  813,\n  821,\n  814,\n  816,\n  813],\n 'CARBON-DIOXIDE[p]': [-1978935,\n  -2187468,\n  -2252374,\n  -2277523,\n  -2299096,\n  -2333612,\n  -2359294,\n  -2360849,\n  -2380093,\n  -2377430,\n  -2398409,\n  -2401014,\n  -2406075,\n  -2433275,\n  -2431991,\n  -2444870,\n  -2449074,\n  -2467528,\n  -2466263,\n  -2472228,\n  -2491605,\n  -2470017,\n  -2473566,\n  -2476245,\n  -2477271],\n 'CARBON-MONOXIDE[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CH33ADO[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CL-[p]': [1,\n  156,\n  277,\n  380,\n  461,\n  526,\n  575,\n  618,\n  637,\n  662,\n  670,\n  688,\n  700,\n  710,\n  727,\n  736,\n  752,\n  759,\n  770,\n  776,\n  782,\n  790,\n  783,\n  786,\n  782],\n 'CO+2[p]': [2,\n  6,\n  11,\n  17,\n  20,\n  23,\n  25,\n  27,\n  28,\n  30,\n  29,\n  30,\n  30,\n  30,\n  32,\n  32,\n  33,\n  33,\n  35,\n  34,\n  34,\n  34,\n  34,\n  34,\n  34],\n 'CPD-10774[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-108[p]': [-1,\n  -5,\n  -10,\n  -14,\n  -17,\n  -18,\n  -21,\n  -22,\n  -23,\n  -24,\n  -24,\n  -25,\n  -25,\n  -25,\n  -26,\n  -27,\n  -27,\n  -27,\n  -28,\n  -28,\n  -28,\n  -28,\n  -28,\n  -29,\n  -28],\n 'CPD-1772[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-239[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-534[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD-560[p]': [-1,\n  -186,\n  -331,\n  -454,\n  -550,\n  -627,\n  -687,\n  -737,\n  -760,\n  -790,\n  -799,\n  -822,\n  -835,\n  -847,\n  -867,\n  -879,\n  -897,\n  -906,\n  -919,\n  -926,\n  -933,\n  -943,\n  -935,\n  -937,\n  -934],\n 'CPD-564[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'CPD0-2167[c]': [-2,\n  -13,\n  -26,\n  -35,\n  -41,\n  -46,\n  -52,\n  -54,\n  -56,\n  -58,\n  -59,\n  -59,\n  -61,\n  -61,\n  -65,\n  -66,\n  -66,\n  -66,\n  -68,\n  -68,\n  -69,\n  -70,\n  -69,\n  -70,\n  -68],\n 'D-ALANINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'D-LACTATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ETOH[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'FE+2[p]': [2,\n  221,\n  389,\n  536,\n  649,\n  739,\n  812,\n  870,\n  896,\n  931,\n  943,\n  969,\n  985,\n  999,\n  1023,\n  1038,\n  1057,\n  1069,\n  1085,\n  1092,\n  1101,\n  1112,\n  1104,\n  1106,\n  1102],\n 'FORMATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLC[p]': [767215,\n  841386,\n  906067,\n  928049,\n  955257,\n  974986,\n  997159,\n  976754,\n  1006624,\n  983157,\n  1019049,\n  1016114,\n  1022593,\n  1049309,\n  1046045,\n  1066408,\n  1061093,\n  1079737,\n  1074696,\n  1081093,\n  1094849,\n  1060890,\n  1078840,\n  1067741,\n  1080357],\n 'GLYCEROL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLALDEHYDE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'GLYCOLLATE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYDROGEN-MOLECULE[c]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'HYPOXANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'INDOLE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'K+[p]': [-2,\n  5866,\n  10378,\n  14276,\n  17273,\n  19705,\n  21590,\n  23176,\n  23881,\n  24802,\n  25119,\n  25819,\n  26232,\n  26639,\n  27248,\n  27618,\n  28171,\n  28463,\n  28890,\n  29100,\n  29319,\n  29621,\n  29376,\n  29462,\n  29340],\n 'L-SELENOCYSTEINE[c]': [0,\n  2,\n  4,\n  6,\n  6,\n  8,\n  8,\n  8,\n  9,\n  10,\n  9,\n  10,\n  10,\n  10,\n  10,\n  11,\n  10,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11,\n  11],\n 'METOH[p]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'MG+2[p]': [1,\n  260,\n  462,\n  634,\n  768,\n  876,\n  959,\n  1030,\n  1062,\n  1102,\n  1116,\n  1148,\n  1166,\n  1184,\n  1211,\n  1227,\n  1252,\n  1265,\n  1284,\n  1294,\n  1303,\n  1316,\n  1306,\n  1309,\n  1304],\n 'MI-PENTAKISPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'MN+2[p]': [1,\n  27,\n  47,\n  65,\n  79,\n  91,\n  99,\n  106,\n  109,\n  114,\n  115,\n  119,\n  120,\n  121,\n  125,\n  127,\n  129,\n  131,\n  133,\n  133,\n  134,\n  135,\n  134,\n  134,\n  135],\n 'NA+[p]': [1,\n  6,\n  10,\n  15,\n  18,\n  20,\n  23,\n  24,\n  24,\n  26,\n  26,\n  27,\n  27,\n  27,\n  28,\n  29,\n  29,\n  29,\n  30,\n  30,\n  31,\n  30,\n  31,\n  30,\n  30],\n 'NI+2[p]': [1,\n  16,\n  27,\n  39,\n  46,\n  53,\n  58,\n  62,\n  64,\n  67,\n  68,\n  69,\n  71,\n  71,\n  73,\n  74,\n  75,\n  77,\n  78,\n  78,\n  79,\n  80,\n  80,\n  79,\n  79],\n 'OXYGEN-MOLECULE[p]': [2034608,\n  2149055,\n  2169775,\n  2168956,\n  2164999,\n  2172935,\n  2188886,\n  2133919,\n  2168263,\n  2146433,\n  2180739,\n  2166280,\n  2178972,\n  2212392,\n  2200685,\n  2224984,\n  2219673,\n  2239282,\n  2227522,\n  2231438,\n  2251859,\n  2209197,\n  2224650,\n  2216657,\n  2233830],\n 'PROTON[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'Pi[p]': [70436,\n  67160,\n  81767,\n  90661,\n  98134,\n  101496,\n  108099,\n  92842,\n  105196,\n  99882,\n  110315,\n  106786,\n  112263,\n  118994,\n  117492,\n  126029,\n  123905,\n  127916,\n  124975,\n  125877,\n  128400,\n  118919,\n  123993,\n  119370,\n  126080],\n 'S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]': [0,\n  -1,\n  -2,\n  -3,\n  -4,\n  -4,\n  -5,\n  -5,\n  -5,\n  -5,\n  -6,\n  -5,\n  -6,\n  -5,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -6,\n  -7,\n  -6,\n  -6,\n  -6],\n 'SUC[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'SULFATE[p]': [13270,\n  16725,\n  16326,\n  17173,\n  17738,\n  18317,\n  18681,\n  18770,\n  19097,\n  18900,\n  19534,\n  19392,\n  19624,\n  20053,\n  19680,\n  20245,\n  19773,\n  20662,\n  20209,\n  20502,\n  20850,\n  20064,\n  20524,\n  20620,\n  20212],\n 'THYMINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UNDECAPRENYL-DIPHOSPHATE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'URACIL[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'UREA[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'WATER[p]': [-3973467,\n  -1583451,\n  231207,\n  1898797,\n  3156435,\n  4193380,\n  4946897,\n  5844085,\n  5995275,\n  6542395,\n  6496191,\n  6851775,\n  6990345,\n  7037080,\n  7342363,\n  7392897,\n  7680402,\n  7720591,\n  7953426,\n  8021574,\n  8052271,\n  8377203,\n  8167460,\n  8271067,\n  8134592],\n 'XANTHINE[p]': [0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0,\n  0],\n 'ZN+2[p]': [1,\n  16,\n  29,\n  41,\n  49,\n  54,\n  60,\n  64,\n  66,\n  69,\n  70,\n  71,\n  72,\n  73,\n  76,\n  77,\n  78,\n  79,\n  80,\n  81,\n  82,\n  82,\n  82,\n  82,\n  82]}"
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba[\"estimated_exchange_dmdt\"]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.501761Z",
-     "start_time": "2023-06-26T19:06:23.496061Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 34,
    "outputs": [
     {
      "data": {
@@ -164,7 +130,6 @@
    "source": [
     "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
     "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
-    "sim_exchanges.head(10)\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
     "plt.figure(figsize=(15, 5))\n",
@@ -181,19 +146,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:23.887908Z",
-     "start_time": "2023-06-26T19:06:23.506008Z"
+     "end_time": "2023-06-26T20:57:47.095046Z",
+     "start_time": "2023-06-26T20:57:46.900469Z"
     }
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Check reaction fluxes from simulation - sanity check."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 35,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -201,7 +175,7 @@
    ],
    "source": [
     "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
-    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[4, :].abs().sort_values(ascending=False))\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
     "\n",
     "\n",
     "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
@@ -222,70 +196,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.137601Z",
-     "start_time": "2023-06-26T19:06:23.888894Z"
+     "end_time": "2023-06-26T20:57:47.585269Z",
+     "start_time": "2023-06-26T20:57:47.420767Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                                                            4\nATPSYN-RXN (reverse)                                7963937.0\nmaintenance_reaction                                7600314.0\nNADH-DEHYDROG-A-RXN-NADH/UBIQUINONE-8/PROTON//N...  3656705.0\nTRANS-RXN0-545[CCO-PM-BAC-NEG]-CARBON-DIOXIDE//...  2277523.0\nTRANS-RXN0-474                                      2168940.0\nRXN-21817-CPD-9956/PROTON/OXYGEN-MOLECULE//UBIQ...  2168919.0\nTRANS-RXN-145                                       1898797.0\nGAPOXNPHOSPHN-RXN                                   1636060.0\nPHOSGLYPHOS-RXN (reverse)                           1636058.0\n3PGAREARR-RXN (reverse)                             1486502.0\n2PGADEHYDRAT-RXN                                    1486488.0\nPYRUVDEH-RXN                                        1150328.0\nPGLUCISOM-RXN-GLC-6-P//FRUCTOSE-6P.21.               914733.0\nRXN0-7166                                            884407.0\nTRANS-RXN-157-PTSH-PHOSPHORYLATED/GLC//GLC-6-P/...   872057.0\nTRIOSEPISOMERIZATION-RXN (reverse)                   834966.0\nCITSYN-RXN                                           744564.0\nPHOSICITDEHASE-RXN                                   744358.0\nDEPHOSICITDEHASE-RXN                                 744358.0\nRXN-14047                                            744291.0",
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-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba[\"reaction_catalyst_counts\"]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.261823Z",
-     "start_time": "2023-06-26T19:06:24.134582Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 36,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 11,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -298,8 +223,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.333696Z",
-     "start_time": "2023-06-26T19:06:24.306108Z"
+     "end_time": "2023-06-26T20:57:50.720960Z",
+     "start_time": "2023-06-26T20:57:50.656856Z"
     }
    }
   },
@@ -314,13 +239,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 37,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 12,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -354,8 +279,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.337983Z",
-     "start_time": "2023-06-26T19:06:24.335409Z"
+     "end_time": "2023-06-26T20:57:50.959153Z",
+     "start_time": "2023-06-26T20:57:50.955010Z"
     }
    }
   },
@@ -370,58 +295,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "[[],\n 7130668,\n 7682916,\n 7655656,\n 7600314,\n 7529897,\n 7560265,\n 7566014,\n 7555646,\n 7555453,\n 7576138,\n 7568193,\n 7560014,\n 7555559,\n 7598335,\n 7584044,\n 7582321,\n 7600258,\n 7619933,\n 7613406,\n 7618277,\n 7667139,\n 7642944,\n 7617385,\n 7652652,\n 7642911]"
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fba[\"maintenance_target\"]"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.341392Z",
-     "start_time": "2023-06-26T19:06:24.338980Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "7642911"
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": 38,
+   "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
     "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
-    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]\n",
-    "maintenance"
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.352427Z",
-     "start_time": "2023-06-26T19:06:24.344104Z"
+     "end_time": "2023-06-26T20:57:51.545487Z",
+     "start_time": "2023-06-26T20:57:51.536408Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 39,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -435,14 +326,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.775269Z",
-     "start_time": "2023-06-26T19:06:24.354150Z"
+     "end_time": "2023-06-26T20:57:52.203099Z",
+     "start_time": "2023-06-26T20:57:51.791065Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 40,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -450,14 +341,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:24.777068Z",
-     "start_time": "2023-06-26T19:06:24.775416Z"
+     "end_time": "2023-06-26T20:57:52.207568Z",
+     "start_time": "2023-06-26T20:57:52.203915Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 41,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -472,20 +363,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.033011Z",
-     "start_time": "2023-06-26T19:06:24.775553Z"
+     "end_time": "2023-06-26T20:57:52.500557Z",
+     "start_time": "2023-06-26T20:57:52.305711Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 42,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 18,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -496,14 +387,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.037247Z",
-     "start_time": "2023-06-26T19:06:25.033497Z"
+     "end_time": "2023-06-26T20:57:52.505455Z",
+     "start_time": "2023-06-26T20:57:52.501004Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 43,
    "outputs": [
     {
      "data": {
@@ -533,14 +424,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.303692Z",
-     "start_time": "2023-06-26T19:06:25.039178Z"
+     "end_time": "2023-06-26T20:57:52.910522Z",
+     "start_time": "2023-06-26T20:57:52.648900Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 44,
    "outputs": [
     {
      "data": {
@@ -569,8 +460,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.457288Z",
-     "start_time": "2023-06-26T19:06:25.304614Z"
+     "end_time": "2023-06-26T20:57:53.439778Z",
+     "start_time": "2023-06-26T20:57:53.287110Z"
     }
    }
   },
@@ -579,17 +470,19 @@
    "id": "28db669f-93f3-4f5c-aea0-e23b6a811660",
    "metadata": {},
    "source": [
-    "## Connect to EcoCyc to go from Genes -> Reactions"
+    "## Connect to EcoCyc to go from Genes -> Reactions\n",
+    "\n",
+    "We use the EcoCyc API to automatically figure out what are made possible by the genes we are adding. While reactions are always possible, enzymes make them faster to the point that it is useful to the cell."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 45,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.817693Z",
-     "start_time": "2023-06-26T19:06:25.456944Z"
+     "end_time": "2023-06-26T20:57:53.907813Z",
+     "start_time": "2023-06-26T20:57:53.664253Z"
     }
    },
    "outputs": [
@@ -597,7 +490,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 21,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -610,21 +503,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:25.817958Z",
-     "start_time": "2023-06-26T19:06:25.817592Z"
+     "end_time": "2023-06-26T20:53:57.471936Z",
+     "start_time": "2023-06-26T20:53:57.470309Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -694,12 +587,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:27.529252Z",
-     "start_time": "2023-06-26T19:06:25.817825Z"
+     "end_time": "2023-06-26T20:53:59.237419Z",
+     "start_time": "2023-06-26T20:53:57.473678Z"
     }
    },
    "outputs": [],
@@ -730,21 +623,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:27.538169Z",
-     "start_time": "2023-06-26T19:06:27.535842Z"
+     "end_time": "2023-06-26T20:53:59.246439Z",
+     "start_time": "2023-06-26T20:53:59.244345Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {EG11799, EG10470, EG10468, EG11801, EG11800, ...   \n1               {EG10816, EG10818, EG10815, EG10814}   \n2           {EG11574, EG11572, EG11573, M007, G6566}   \n3  {EG10638, EG10640, EG10648, EG10639, EG10644, ...   \n4                          {G6206, M011, M010, M012}   \n5  {EG11829, EG11666, EG10153, EG10152, EG11597, ...   \n6                              {G6245, G7431, G7452}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN0-7399, RXN0-5256, RXN-16420}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...  \n3                  {RXN0-3501, RXN-15119, RXN0-7124}  \n4  {TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...  \n5  {RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...  \n6                  {RXN0-4022, RXN-12093, RXN0-5507}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11799, EG10470, EG10468, EG11801, EG11800, ...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7399, RXN0-5256, RXN-16420}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10816, EG10818, EG10815, EG10814}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, EG11572, EG11573, M007, G6566}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{THIKIN-RXN, ABC-32-RXN, RXN0-7298, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10640, EG10648, EG10639, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-3501, RXN-15119, RXN0-7124}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{G6206, M011, M010, M012}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{TRANS-RXN-61, MHPHYDROXY-RXN, RXN-10040, 1.13...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG11829, EG11666, EG10153, EG10152, EG11597, ...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-11361, RXN-17809, RXN-8342, RXN-16457, RX...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7431, G7452}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN-12093, RXN0-5507}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN-16420, RXN0-5256, RXN0-7399}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...  \n5  {RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...  \n6                  {RXN0-4022, RXN0-5507, RXN-12093}  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN0-5507, RXN-12093}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -763,12 +656,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:31.436967Z",
-     "start_time": "2023-06-26T19:06:27.546303Z"
+     "end_time": "2023-06-26T20:54:03.118366Z",
+     "start_time": "2023-06-26T20:53:59.256443Z"
     }
    },
    "outputs": [
@@ -853,21 +746,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:31.444941Z",
-     "start_time": "2023-06-26T19:06:31.442657Z"
+     "end_time": "2023-06-26T20:54:03.125618Z",
+     "start_time": "2023-06-26T20:54:03.123865Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN-12093   \n0                         pre-Quenosine synthesis             RXN0-5507   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  8.324587e+05   5.920363  \n0  5.199004e+05   5.715920  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.300256e+06   6.114029  \n0  1.756030e+05   5.244532  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n0                         pre-Quenosine synthesis             RXN-12093   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -880,12 +773,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
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bu3cv5cuXNykzMzOjdOnSBAUFUa9ePZNjLVu25LvvvmPnzp306dMn2XJLTypevDj9+vUjMDCQrVu30rBhw2R17t27Z7LZeRIbGxsgcWbHkzM/UlOzZk3u379P9uzZTWaqJCUdrly5wpgxY4iPj2fx4sV4eXnx5ZdfUqNGjWfGcO/ePeProkWLPjeO5/Hz8+PHH39k2LBhfP3111hYZPyOFN988w3ffPONSZmFhQVOTk58+eWXxgRSksjISOrWrWtMSLVu3ZrRo0fzv//9jxIlSqS7/yFDhqS4UXzu3LnZvXu38XVUVBS1a9c2qXPu3Llkn0eAIkWKMHr0aONSaklS+vwmeXLZs38iTcmQli1bcvfuXSDxCxQQEEBAQECK9Q0Gg8k0JBERERERERERERF5uZydnRk1ahQAly9fJigoiLi4OKZPn06xYsWS1b98+TJHjhwBYMOGDfTo0SPFmSFJunbtyqZNmxgzZgzVqlVLdvx5T++bmZmRkJBAQkKCSdmTszgSEhIIDg4mNjaWuXPn8sknn7B8+XJKlSqFu7s7+fPnp1atWsYltGrWrEmLFi2YOXMmNWrUeGYMSRt7p8Xz4gSwt7dn9OjR9OvXjy+//NJko/OMUr9+fXr37g3A2bNnmTp1Kvnz5yc4OJg8efKY1D127BgnT56ke/fu3LlzB0icwWJpacny5ctT3Zz8Wby9vVNMQiS9/5D4Xu3evZvQ0FCTOvnz5yckJARI3KMlLCyM8+fPM3HiRFxcXJK1+eTn92kZkbyCNCRDcubMyZQpU/j1118xGAyEhobSsGHDFNdmMzc3J2fOnFomS0RERERERERERORfZGNjg5OTEwBOTk5UqlSJ5s2b07VrVyIjI02Wr0pISGDw4MGYm5szbdo0fHx88Pf3x9/fP9X2LSwsCAgIoE2bNgQEBDBo0CCT47a2tsTExCQ7L2lGhq2tLcOGDWP16tXGYw4ODnz//ffG1+bm5sZ9J6pWrYq7uzuLFy9m3Lhx5MuXj3z58pm0bWlpSc2aNVm1apWxj5RWLYqJiUlxxkhqnhdnkoYNG9K4cWNCQkJo0KBBmttPqxw5cpiMaZkyZfjoo4/o2bMnK1asMNm8PTIyEoDPP/88WTtr165l8ODBaZqZ86SCBQsa+0/Nr7/+SkJCQrLNz62srEzOrVy5Mh999BE9evRg1apVFClSxKT+k5/flyVNc3fc3Nxwc3MD4NKlS7Rr146KFSu+1MBERERERERERERE5MXkzp2bUaNGMWDAAPz9/QkMDDQeCwsLY//+/YSGhtKgQQMOHDjAsmXLqFev3jNv6pcpU4YePXoQFhZG5cqVTY4VK1aMW7ducfv2bezt7Y3lZ8+epWDBglhZWdGvXz86duxoPJZ0Mz8qKgorKyvee+894zE7OzsKFSrElStXgMTN0W/fvk3Tpk1N+n306BE5cuQAEmcQ/PTTTxgMBpMNus+ePZuu2QWpxZmSUaNGsXfvXoYPH55hMxhSU6JECby9vZk8eTIhISH4+PgAEBsby/r162ncuDEdOnQwOeePP/5g/PjxfPfdd7Rq1SrDY4qKisLV1TXZzJmnZcmShYkTJ+Lh4YGfnx9fffXVv76Jero3UJ8wYYISISIiIiIiIiIiIiL/cY0bN6Z27dqsX7+e/fv3A3Dw4EHCwsLw8PAwJj6GDBlCkSJFGDFiBFevXn1mm71796ZkyZJMmjTJpLxGjRoAbN682VgWGxvLzp07jceSZhok/SStPvTVV18xatQoHj9+bDw3OjqaU6dOUapUKQB27NjB0KFDuX79urHO/fv32blzp3HZrlq1anHnzh327NljrHPjxg0OHjxojCEtUoszJbly5WL48OEcPnyYLVu2pLmPF9WpUydKlSrF/Pnz+euvvwDYvn07t27don379lSvXt3kp0OHDuTJk+cfbaT+LFFRUWnez8PZ2ZmPP/6Yn3/+mTVr1ryUeJ7lhXZ1iYqK4ttvv+XatWvJdo6HxDXUFi5c+I+DExEREREREREREXnZ8uQozsfuk19p/y/LsGHDaN68OePHj2fhwoUMHjwYR0dH/Pz8jHWyZMnC5MmT6dChA35+foSHh6f61L6VlRUBAQG0a9fOpNzBwYFWrVoxfvx47t+/T+HChYmIiODOnTt07979mTF6eXnh6emJt7c3HTp04NatW4SGhmJvb0/nzp2BxCTAmjVr6NGjB3369MFgMBAeHs6DBw/o168fkLi0VrVq1fDx8WHw4MFkz56d4OBg7Ozskm3YnZGaN2/Oxo0b2bFjh8msmJfBwsKCYcOG0blzZwICApg7dy6RkZHkyZMnxb1cMmXKRLNmzYiIiODkyZPPTOw87fz588Z9ZZ6WK1cubGxsOHbsWLLN059l4MCBfPfddwQGBtKwYUPj8mX37t1LtS8zM7MMmaCR7mTI0qVLGT9+PJB4wc+aIiQiIiIiIiIiIiLyX5fZypZC+d7M1XCKFSuGp6cn8+fPp1GjRty/f5/ly5eTJUsWk3oVK1bEy8uL0NBQlixZgqenZ6ptOjs706lTJ+bPn29SPnbsWLJly8bcuXO5f/8+5cuXJyIigsKFCz8zRhcXFxYsWMCMGTMYMGAAFhYW1KpVi88//5xcuXIBUKhQIZYuXUpgYCDDhw8nNjaWqlWrsnTpUgoWLGhsKyQkhIkTJzJ58mQSEhKoXLkyM2bMeOlJijFjxnDw4MGX2kcSV1dXGjVqxObNm1mzZg27d++mY8eOqW4S37JlSyIiIlixYkWqm5SnJDg4mODg4BSPtWnThurVq1OyZEny5s2b5jZz5MjBgAEDGDt2LKGhoQwZMgRI3HvEw8MjxXMyZcrE8ePH09xHaswMBoMhPSc0atSIrFmzEh4eTu7cuf9xACIi8uYwGAxcu3bvVYchL4m9feJ/lG/ffvCKI5GXSeP85tMYvx00zm8HjfObT2P8dtA4Z6w8eexedQgi8h+V7j1D/v77bzw8PJQIERERERERERERERGR10K6kyGOjo5cu3btZcQiIiIiIiIiIiIiIiKS4dKdDOnZsyeLFy/mzz//fBnxiIiIiIiIiIiIiIiIZKh0b6B+6NAhbGxsaNGiBUWLFiVnzpyYmZmZ1DEzM2PhwoUZFqSIiIiIiIiIiIiIiMiLSncy5IcffgAgf/78PHjwgIsXL2Z4UCIiIiIiIiIiIiIiIhkl3cmQ77///mXEISIiIiIiIiIiIiIi8lKke8+QJ125coVffvmFu3fvEhsbS0JCQkbFJSIiIiIiIiIiIiIikiFeKBly6NAhWrdujZubG+3ateO3335j//791K1bl40bN2Z0jCIiIiIiIiIiIiIiIi8s3cmQo0eP0qVLF2JiYujUqZOx3N7eHgsLCwYPHsyuXbsyNEgREREREREREREREZEXle5kSFBQEAULFmTt2rX07NkTg8EAgJOTE+vWraN48eLMmTMnwwMVERERERERERERERF5EeneQP3w4cP06dOHzJkz8+DBA5Njtra2fPzxx8ycOTPDAhQRERERERERERF5me7H3uPc7dOvrH9H+2JktbJ94fM9PT3Zv3+/SZmZmRlZs2alSJEidOrUiRYtWnDixAnatm1LnTp1CAsLS9aOn58fmzdvZs2aNTg6OuLu7s6dO3fYsGED+fLlM6kbHR2Nm5sbEyZMoHXr1gDExcUREhLC6tWruXXrFuXLl2fo0KE4Ozs/M353d3cuXryY4rFq1aqxePHiZOXe3t7Y2dnh7+9vUn716lWCgoLYvXs3t27domjRovTo0YMmTZqk2H5cXBzt2rXD1taWBQsWPDPOffv28emnn9KoUaMU74GHhYURFBTEyZMnAbhw4QL169dn8uTJtGjRIsVxelqrVq2YOHFimsc0Ja1bt+bYsWPMmzeP2rVrG8tLly79zL4B43g+r+5nn31Gz549ja+vXLlCvXr12L17N9mzZwfg77//ZuHChezYsYPo6Gjs7e1xdnamZ8+eJp+J4OBgQkJCTNq3sLAge/bsvPfee3z22We88847z439edKdDAGwsrJK9dijR4+0kbqIiIiIiIiIiIi8Ns7dPs2kH31fWf9Dak2mTJ5nJwyex8nJiREjRhhfx8fHEx0dzYIFC/D19SV79uy4ubnh7e1NYGAgK1eupG3btsb6a9asITIykqlTp+Lo6Ggsv3v3LqNHj2b27NnPjcHf35/Vq1czePBg3nnnHSIiIujcuTNr166lUKFCqZ4XEhJCbGysSdnmzZuZP38+7du3Nyk3GAxMmTKFzZs306ZNG5NjsbGxdO/enbt37+Lt7U3evHnZvHkzAwcOJD4+nmbNmiXre+7cufz666+4uro+9/qejG3Lli28//77aT4HYPTo0dy7d8/4ul+/fjg5OeHl5WUsy5kzp/H3tI7pk06ePMmxY8coVaoUK1asMEmGrFixwvj71atX6devH/3796dWrVrG8ifH3sPDw5joelqBAgVMXv/www84OTkZEyEHDhygX79+5M6dm86dO1OkSBFu3rzJ0qVLad++PTNmzKBhw4bG8zNlysRXX31lfB0XF8eZM2cIDAzkyJEjbNiwgcyZM6cYS1qlOxlSsWJF1q9fz6effprs2P3791m5ciVOTk7/KCgRERERERERERERSTtbW1sqVaqUrLxOnTq4uroSGRmJm5sb3bt3JyoqioCAAKpXr46joyOnTp1izJgxtG7dmg8//NDkfDs7O3bs2MG6deto3rx5qv1fuHCBFStWMHLkSGMCo1atWjRq1Ih58+YxZsyYVM8tV66cyetLly6xcuVKOnbsSNOmTY3lp06dwt/fn4MHD6Z4YzwqKorff/+dlStXGmce1KxZk0uXLhEeHp4sGfL7778zZ84c8uTJk2psKbGzs2PMmDFUq1bNePM/LUqUKGHy2srKipw5c6Y4bpD2MX1SZGQkJUqU4NNPP+WLL77gypUr5M2bF8CkrQsXLgBQqFChVPvPnz9/qseeFhUVZUyq3Lp1i0GDBlG8eHHmz59vMlYNGzakc+fODB8+HFdXV2xt/39G1NN9ValSBWtraz7//HO2b9/OBx98kKZYUpPuPUO8vb05fvw4n3zyCWvWrMHMzIyjR4+yaNEiWrRowYULF+jVq9c/CkpERERERERERERE/jlra2usrKwwMzMDwNzcnEmTJmFubo6vry+PHj3Cx8eHfPnyMXLkyGTnN2zYEBcXF/z9/bl+/Xqq/ezdu5f4+HgaNWpkLLOysqJu3bpERUWlK+aJEyeSOXNmfHx8TMq/+OIL7t27x4oVK8iVK1ey82xsbPDw8Ej2sH6xYsU4d+6cSVlsbCy+vr54enpStGjRdMXn4+PD7du3CQgISNd5GeXpMU3y+PFj1q1bR506dWjUqBGZMmVi1apVLz2e+Ph49uzZQ506dYDEWUZXr15l+PDhyZJWlpaWDBkyhLZt23L37t3ntl2+fHmAVJdRS490J0NcXFyYM2cO0dHRTJo0CYPBwPTp0wkICODhw4dMmzaN99577x8HJiIiIiIiIiIiIiJpYzAYiIuLM/48evSIU6dO4efnR0xMjMn+Eg4ODowcOZLDhw/Trl07Tp8+zYwZM8iaNWuyds3NzfH39+fBgweMHTs21f5Pnz6Nvb29yTJPAIULF+bSpUs8fPgwTddx5MgRNm/ejI+Pj8msAYCRI0fy9ddfU7Zs2RTPdXV1ZezYsSZJgsePH7Nr1y5KlixpUjc0NJS4uDi8vb3TFNeTSpUqhZeXF2vXrmXXrl3pPj+t0jOmALt27eLGjRu0aNGCbNmyUb9+fVatWvXC21okJCSY9P/kz5MOHz6MhYWFMQn1ww8/kCdPHmMi42nOzs58/vnnyZbaSsmZM2cA0+W7XtQL7RlSs2ZNtm7dyrFjxzh//jwJCQk4ODhQoUIFLCxeqEkREREREREREREReUF79+5NdvPZzMyM0qVLExQURL169UyOtWzZku+++46dO3fSp08fypQpk2rbxYsXp1+/fgQGBrJ161aTvR6S3Lt3L1nyAhJnawDExMSkac+HefPm4eDgkOKSXKVKlXru+U+bMmUKf/31F6Ghocayo0ePMn/+fJYuXfrM/bGfpVevXmzZsoVRo0axYcOGFK/9n0rvmH7zzTeUK1fOOJatW7dm48aN/PDDD8mW00qL4OBggoODUzx29OhRrK2tgcTkR82aNY1JqOjo6Bfa8PzJJEtMTAy//fYbkyZNwsHB4YXif9oLZy7MzMyoUKECFSpU+MdBiIiIiIiIiIiIiMiLc3Z2ZtSoUQBcvnyZoKAg4uLimD59OsWKFUtW//Llyxw5cgSADRs20KNHjxRnhiTp2rUrmzZtMu6V8TSDwfDM+MzMzEhISDCZpWBmZkamTJmMr6Ojo9m+fTt+fn7/+KH7pI3WFy5cSLdu3WjQoAEAjx49YujQoXTq1Mm4r8jTno4TSBaPpaUlAQEBeHh4MHny5GfOmnlR6RnTa9euERUVhbe3N3fu3AESN2DPnTs3y5cvf6FkQvv27fnoo49SPPZkEikqKoouXboYX2fKlIn4+Ph09RUfH5/iTJIKFSowbtw4smTJkq72UpLuT1RsbCzh4eHs3r2bq1evpjjFxszMjG3btv3j4ERERERERERERETk+WxsbIzLFDk5OVGpUiWaN29O165diYyMNFm+KiEhgcGDB2Nubs60adPw8fHB398ff3//VNu3sLAgICCANm3aEBAQwKBBg0yO29raEhMTk+y8e/fuGY8PGzaM1atXG485ODjw/fffG19v2bIFc3PzZBudp1dsbCxDhw5lw4YNdOvWDV9fX+OxGTNmkJCQQJ8+fYwzEQwGg3FJqkyZMhEaGkpISIhJmydPnkzWj5OTE507d2b+/Pk0adLkH8WckvSM6bp164iLi2PatGlMmzbNpJ1du3Zx+fJl8uXLl67+8+bNm2z/laddvXqVkydPGjdPB3jnnXc4evRoqucYDAauXLliEk+mTJlYsWKF8bWVlRV58+YlR44c6Yr5WdKdDPH392fFihXkz58fBwcHzM3Tve2IiIiIiIiIiIiIiLxEuXPnZtSoUQwYMAB/f38CAwONx8LCwti/fz+hoaE0aNCAAwcOsGzZMurVq2ecQZGSMmXK0KNHD8LCwqhcubLJsWLFinHr1i1u376Nvb29sfzs2bMULFgQKysr+vXrR8eOHY3Hnl6iaufOnVSrVi3ZviPpce/ePby8vPj5558ZNmwYnTp1Mjm+efNmLl68iIuLS7Jzy5cvz6JFi/j444+pW7dumvobMGAA27dvZ+TIkTRt2vSF406LZ41pZGQkVapUSbYHyvXr1xk0aBArV66kX79+GR7TDz/8QLly5UzGrHbt2uzYsYNff/01xWTKwYMH+eSTTwgICDCZefK8xMs/le5kyNatW2nWrBlTp059GfGIiIiIiIiIiIiISAZo3LgxtWvXZv369Xh4eFCtWjUOHjxIWFgYHh4exsTHkCFD+OmnnxgxYgQVK1YkT548qbbZu3dvtm7dyqRJk0zKa9SoASQmGz7++GMgcYbGzp07qV27NgAFCxakYMGCKbZrMBg4evQonTt3fuHrjY+Pp3fv3vzyyy9Mnz6dxo0bJ6sza9YsYmNjTcpGjx5NpkyZGDVqFEWLFsXW1jbNsyisra3x9/fnk08+YenSpS8ce1qlNKZHjx7lzz//JCAggOrVqyc758svv2TlypX07t3bZFmyjBAVFUWdOnVMypo3b05oaCiTJk3iyy+/NO4tAokb2k+fPp2sWbM+M/H2MqQ7GRIXF0fVqlVfRiwiIvIGsLf/52s4yn+ThUXif5g0xm82jfObT2P8dtA4vx00zm++fzLGcXEJxMQ8yuiQROQ1NGzYMJo3b8748eNZuHAhgwcPxtHRET8/P2OdLFmyMHnyZDp06ICfnx/h4eHGzbCfZmVlRUBAAO3atTMpd3BwoFWrVowfP5779+9TuHBhIiIiuHPnDt27d39unJcuXeLu3bsUL178ha91+fLl7N+/Hw8PD/Lnz2/cEwUSt3aoWLEipUuXTnaejY0NmTJleuGZCVWqVKFjx44sWbLkRUNPlyfHdPXq1URGRmJlZcX777+fYv2WLVsyfvx4du3ahbu7e5r7iY6ONnkPn2RnZ0eRIkXYs2dPsgSWnZ0dEyZMoH///rRt25ZPPvmEwoULc+nSJRYvXszvv/9OSEiIyQyif0O6kyGNGzdm69ateHh4vIx4RETkNXf55rFXHYKIiIiIyFstT47iWFhkftVhiLxWHO2LMaTW5Ffa/8tSrFgxPD09mT9/Po0aNeL+/fssX7482YbUFStWxMvLi9DQUJYsWYKnp2eqbTo7O9OpUyfmz59vUj527FiyZcvG3LlzuX//PuXLlyciIoLChQs/N87r168D/KMb5Js3bwZgxYoVJvtPQOKeFMePH3/htp/Hx8eHHTt2cPHixZfWR5Inx3TZsmVs2LCB2rVrY2dnl2L9Dz74gEmTJrFixYp0JUNSeh+TuLq60r9/f8zMzFLciN7NzY2vv/6aiIgIZs+ezdWrV8mZMycVK1Zk3LhxKW6W/rKZGQwGQ3pOiImJoWfPnsTHx9OgQQNy5cqVYpawZcuWGRWjiIi8JhIS4pm+4uWujykiIiIiIs/2sftk8uUoz+3bD151KJIGSTN/NF4ZI0+elG8Gi4ike2bIoUOHOH78OA8ePEh1ioyZmZmSISIiIiIiIiIiIiIi8p+Q7pkhzZo14+bNm/Tt25eiRYumuuFKtWrVMiRAERF5fRgMBh49jnnVYYiIiIjIS/T48QNu3bv0qsOQZ8iTozjmZNZMg9eEZoZkLM0MEZHUpHtmyLlz5/j888/p0KHDy4hHRERec3/dPv2qQxARERGRl8TRvhg2WXJjbZnjVYfyVkjaQD0uLj7d58bFJWR0OCIiIq+1dCdDihYtyt27d19GLCIi8ppLMCQw6UffVx2GiIiIiLwkQ2pNpph9OT3B/i/RjAEREZGMY57eE7y9vVm4cCG7du0iIUFPGYiIiIiIiIiIiIiIyH9buvcM6dWrF8eOHePatWtYW1uTPXv2ZPuGmJmZsW3btgwNVERE/vsMBgMnr/36qsMQERERkZfE0b4YFtqL4l+jmSFvB41zxtKeISKSmnQvkxUTE0ORIkUoUqTISwhHRERed8Xsy73qEOQl+SdrVsvrQ+P85tMYvx00zm+HVzXO2otCREREXkfpnhkiIiKSGoPBwLVr9151GPKS6Im1t4PG+c2nMX47aJzfDhrnN5/G+O2gcc5YmhkiIqlJ954hIvJiMjLvqBxmxnjV7+Or7j81/9W4REREREREREREXtQLJUOWLVtGhw4deP/996lfv36ynwYNGmR0nCKvlKenJ+XLl+fEiRMpHi9XrhzBwcHG16VLlyYsLAyA2NhYJk6cyLfffpshsRw+fBgvL68Maet14enpSefOnTO0zVOnTtG+fXuTsifH7WXK6M9ERrl79y5Dhw7l4MGDrzoUERERERERERGRDJXuPUNCQkIICQnB3t6eokWLYmlp+TLiEvnPiYuLY9iwYaxcuRILi2d/dVasWEGBAgUAuHHjBhEREUyYMCFD4li1ahX/+9//MqStt9nmzZs5fPiwSdmT4/YyZfRnIqOcPHmS1atX06pVq1cdioiIiIiIiMi/6t7jB5y+Hf3K+i9mnx9byyyvrH+Rt0G6kyGrVq2iWrVqzJs3Dysrq5cRk8h/kp2dHcePHyc8PJzevXs/s26lSpX+naAkQ2ncRERERERERN5Op29HM/TH+a+s/4m1uuKcu2iGtHXixAnatGnD9u3byZ8/f5rOmTRpEidOnGDBggUm5Xfv3mX69Ols3bqVe/fu4ezszOeff06FChXS1G5cXBwdO3bEzc2NPn36JDseExND8+bN8fb2pkWLFmlqE2Dnzp307duXY8eOJTt24MABpk2bxvHjx7Gzs6NRo0b4+PhgY2OTansXLlygfv36ycotLS2xt7fHxcWFzz77jKJFE8do8uTJfPnll4SEhNCwYUOTc65du0bLli0pV64cc+bMYf/+/Xz66ac0atSImTNnJusjLCyMoKAgTp48mebrlxeT7mWybty4wYcffqhEiLx1KlSowAcffEBYWBinTp16Zt2k5ZYuXLiAm5sbAH5+fri7uwMwdOhQunbtysiRI3FxcaFFixYYDAZu3LjB6NGjqVevHhUqVKBatWr079+fixcvGs9btWoVFy9epHTp0kRGRgLw8OFDJk2aRJ06dXBycqJly5Zs3779udd04sQJ+vbty3vvvUf58uWpU6cO/v7+PHr0yFhn9+7dfPzxx7i4uFC1alX69OnzzOu/cOECpUuXZsGCBTRq1IhKlSoZl4M6efIkPXr0wMXFhcqVKzNgwACio02furh06RL9+vWjcuXK1KxZk4iIiBTbX7t2rUn50KFDTf74GAwGFixYQOPGjXF2dqZRo0YsXrwYgODgYIKCgoxjlbTE2dPLZEVHR+Pr60vt2rWpWLEiHTt2ZP/+/cli2bJlC/369cPFxYVq1aoxcuRIHjxIeeO71D4TAMuXL6d169ZUqlQJZ2dnWrVqxebNm43HIyMjcXJyYvny5dSoUYPq1atz7tw5DAYDc+bMoV69ejg7O9O1a1fWrFlD6dKluXDhgvH8AwcO0LFjRypWrEj16tUZMWIEd+7cAWDfvn107NgRgE8//RRPT88U4xcRERERERGR/65Tp07h5eVFXFxcms9ZvHgx8+ennAgaOHAgmzdvZtCgQQQHB2NpaYmnpyfnz59/bruxsbEMGTKEI0eOpHj83r179O7d2+TeRVr8/PPPfPbZZynueXrkyBG6dOlCnjx5mDVrFn379mXdunWMGDEiTW3379+fFStWGH/Cw8Pp0qULe/fupWvXrsZ7ZgMHDqR06dKMHDmSq1evGs9PSEhg8ODBmJmZMXHiRMzMzIzHNm/ezJYtW9J1rZKx0j0zpGTJkpw5c+ZlxCLynzdixAj27NnDsGHDWLZsGebmz84n5s2bl1mzZtG7d2969+7N+++/bzy2b98+ateuTVhYGA8fPgSge/fuxMTEMHjwYHLnzs3JkyeZMWMGX3zxBeHh4fTp04fbt2/z66+/EhISgqOjIwaDgX79+nH48GG8vb0pWrQo3333HX379iUkJCTVPXwuX75Mx44deffdd5k0aRKWlpZERUURERFB3rx56dGjB+fPn6dPnz589NFH+Pj4cPv2baZPn46Xlxdbt241+Qf9aSEhIQwfPpzMmTNTtWpVzpw5Q/v27SlRogRTpkwhNjaW4OBgOnbsyJo1a7Czs+P+/ft88sknWFhYMG7cOMzNzZk5cybnzp2jSpUq6RqryZMns3DhQrp37857773Hzz//jL+/P+bm5rRt25arV68a/7Cl9JTElStXaNOmDTY2Nvj6+mJjY8PSpUvp0qUL8+bNw9XV1Vh3xIgRfPTRR4SFhXH06FGmT59Orly5GDhwYLJ2U/tMLFq0iIkTJ+Lt7Y2Liwu3b98mPDyczz77jEqVKpEvXz4AHj9+zKJFi5gwYQI3b97E0dGRmTNnMnv2bLy8vHj33Xf57rvvGDlypEm/Bw4coEuXLtSoUYOgoCCuX7/O9OnTOXnyJMuWLaN8+fKMHTuWUaNGMWrUKKpXr56u91tEREREREREXp24uDhWrFhBYGBgmrc1uHz5MpMnT2bjxo3Y2dklO/7rr7/y448/MnPmTBo1agRA5cqVee+99/jmm29SvO+R5OjRo3zxxRfGB3yf9sMPPzBu3Dhu376dplgh8WHgefPmMXv27FRneUydOpVKlSoRFBSEmZkZNWrUICEhgYiICB48eECWLM9eiqxQoULJVg5xdXXFxsaGL774gr179+Lm5oaVlRVTp06lTZs2DBs2jPDwcABmzZrFvn37iIiIIGfOnCbt2NnZMWbMGKpVq0b27NnTfN2ScdKdDBk4cCCDBg2ievXqxqebRd4WOXPmZOTIkfj4+LBw4UK6dOnyzPpWVlaUK1cOAEdHR+PvkPhHauzYseTNmxdInIVgY2PDiBEjePfddwGMT/6vWrXK2EbOnDmxsrIy/sO8e/dufvjhB5M/THXq1OHOnTtMmTIl1WTIyZMnKV++PEFBQcY/IDVq1GD37t0cOHCAHj16cPToUR4+fIiXl5fxZnyBAgXYvn07MTEx2NrapnrtTZs2Ndl7YsKECWTNmpWIiAhjf1WrVqVBgwYsWbKE3r17s3r1av7++2/Wr19P8eLFAahYsWKy6YbPc+fOHRYtWkSnTp3w8fExXlt0dLRxdkRSAiS1pbEiIiK4c+cOK1euNO4jUrduXVq0aMHUqVP55ptvjHXr1avHkCFDgMQ/kLt372bnzp0p/qcgtc/EhQsX6N69O7169TLWdXBwoHXr1vz88880adIESJzx0rdvX+O/v/fv3+fLL7+kU6dODBgwAIDatWtz9epVoqKijG0FBgZSvHhxZs+ebUzilStXjlatWrFx40aaN29ufM9LlChBiRIl0vp2i4iIiIiIiMgrdujQIaZOnUq3bt3Ily9fmmZCTJ8+nePHjxMREUFoaGiy4yVLlmTFihWULVvWWGZpaYmZmZnJqiIpGThwIMWKFSMoKCjFe1M9evTggw8+oFOnTrRt2zYNVwgbN25k8eLF+Pn5cePGDWbNmmVy/MaNGxw8eJDAwECTB3g7duxoXA3jRWXLli1ZWalSpfDx8WHChAksX76cUqVKERoaipeXF++9916y+j4+PgQEBBAQEMDkyZP/UTzyYtKdDFm4cCFZs2alV69eZM6cmRw5ciR7OtzMzIxt27ZlWJAi/yUffPAB69evJygoiPr16+Po6PhC7eTOnduYCAHInz8/ixcvxmAwcOHCBc6ePcvp06f5+eefefz4cart/PTTT2TKlIk6deqYTIF0d3dn27ZtXLhwgYIFCyY7r06dOtSpU4fHjx/zv//9j7Nnz/LHH39w48YNcufODSQmIqytrWnTpg2NGzemTp06VK9eHWdn5+de35N/KAH27t2Lq6sr1tbWxjhz5MiBs7Mze/bsoXfv3hw8eJDChQsbb8pDYvIlvXt5HDlyhLi4OJOZOADjx49PcxsHDx6kcuXKJhuqm5ub07RpU4KCgrh3756xPCl5lSR//vxcvnw5XTEPGzYMSEzknD59mrNnz7Jv3z6AZONfpkwZ4+9Hjhzh4cOHxkRYkqZNmxqTIQ8ePOCXX36hZ8+eJCQkkJCQACT+p+add95hz549NG/ePF3xioiIiIiIiMh/R/Hixdm2bRu5cuUyLqv+PN27d6dYsWKYm5unmAzJnDmz8Z5MfHw858+fJzg4GIPB8Nz9PWbPnk2pUqVSPb5u3TpKlSqVriWyqlevzvbt27G1tTUuef6kP/74A4PBgL29PQMHDmTnzp1kypSJZs2a4efnR+bMmZ/bh8FgMLm/lnRPJTAwEAcHh2Qrl3Tq1Ildu3YxdepUsmfPTsWKFenfv3+KbZcqVQovLy9CQkL44IMPNNHgFUh3MuTRo0cULlyYwoULv4x4RF4LX3zxBc2aNWP48OEsWrTohdrImjVrsrJ169Yxbdo0/v77b7Jnz07ZsmXJnDlzimsgJrl16xbx8fGpJgyuXLmSYjIkISGBadOmsXTpUu7fv0+BAgVwdnbG2tra2F/BggVZsmQJc+fOZdWqVSxatIhs2bLRoUMHBg4c+Mxlsp6+vlu3bvHtt98a9w95UpEiRQC4fft2simEAHny5OHmzZup9vW0W7duAZArV640n/O027dvG+N6Uu7cuTEYDMTExBjLnv5jam5ubkw4pNW5c+cYNWoUP/30E5aWlhQrVsyY9Hh6/J+cCnrjxg2AZO9bUkILEhMsCQkJzJ49m9mzZyfr+8qVK+mKVURERERERET+W568D5BW6VkVIiAggCVLlgDg7e1t8qBmSp6VCEnL8ZQ4ODg883jSPZKkfWVnzZplXIL+0aNHTJw48bl9DBkyxLj6R5KsWbNSq1Yt4zLqT0raG6RBgwZcuHCB+fPnkylTplTb79WrF1u2bGHUqFFs2LDhmauuSMZLdzIkaQNikbdZvnz5GDJkCMOHD2fZsmUZ0ubBgwcZMmQInTp1okuXLsZlqSZPnpzqRlOQuN6gnZ1dso3GkxQtWjTF8rlz57JgwQLGjh1Lw4YNjWtDtmnTxqSes7MzISEhxMbGcujQIVasWMHs2bMpV65cstkIz2Jra0udOnX49NNPkx2zsrICEmeK/Pbbb8mOJyU3AGMC5ulkw/37942/J13LjRs3TGbunD9/nr///jtN+49ky5aNa9euJStPShzkyJEjw5IICQkJ9OzZE2tra1atWkXZsmWxsLDgf//7X7KN4p+W9Dm5fv26ybVev37d+LuNjQ1mZmZ07drVuNzWk1JbZ1NEREREREREBKBVq1a8//777Nq1yzg7pF+/fq86LBNJK2u8++67jB49GkhcztxgMDBp0iT69u1LwYIFiY+PNznPwuL/b5F7e3tTp04dDAYDBw4cYMaMGTRr1ozRo0eb1HvS999/T2xsLAArV67ks88+SzVGS0tLAgIC8PDwYPLkyYwdO/YfXbOkz7N3f36GW7dusXHjRsLDw1mwYAFbtmwxWTZG5E3Xpk0batasydSpU585C+B5m6wnOXz4MAkJCfTv3994gzs+Pp49e/aYtP90drlq1arcvXsXCwsLnJycjD9Hjx5l1qxZqc7eOHToEKVLl6Z169bG5MHly5f5448/jP0tXrwYd3d3YmNjsbKywtXVlXHjxgHw999/p+m6klSrVo1Tp05Rvnx5Y4zlypVj7ty5xuWc3nvvPc6ePcuJEyeM5924ccMkGZSUMX+y/8ePH3P06FHj64oVK2JpacmOHTtMYpg1axbDhg3D3Nz8mVl6SHxfDx06RHR0tLEsISGBTZs24eTkZEzgvIinPxM3b97kzJkzfPzxxzg5ORn/uCa9L8+aGVS2bFlsbW3Zvn27SfmTr21tbSlXrhx//fWXyWekaNGizJgxg19++QVI/tkSEREREREREQGoUKEC1atXx9fXl1atWhEeHp4sqfCqJT3sWadOHZPyWrVqYTAYOHnyJKtXr6Z8+fImP08u1VWwYEGcnJxwdnamW7dujBkzhq+//jrVpdf/+OMPJk6cyEcffcSHH37IvHnzOHDgwDPjdHJyonPnznz99df89NNP//CqJT3SPTME4KuvvmLKlCk8fPjQ5CadtbU1vr6+/3hDGpHXxbhx42jWrNkzb1bb2tpiZmbGTz/9RPHixalYsWKK9ZL24Rg3bhwtW7bk9u3bLFmyhN9//x2DwcDDhw/JnDkzdnZ2XLt2jV27dlG2bFnq1q3Lu+++S69evejTpw9FihTh559/JjQ0lGbNmqX61L+zszNhYWGEh4dTsWJFzp49y5w5c4iNjeXBgwdAYnJi8uTJ9O3bl08++YRMmTKxfPlyrK2tqVevXrreq759+/Lxxx/Tu3dvPv74YywsLFiyZAl79uyhffv2ALRo0YJFixbRu3dvBg0ahI2NDbNmzTJJBtnb2+Pi4sLChQspVKgQ9vb2LFq0iIcPH2JpaQkkLhn1ySef8OWXX2JhYUGVKlU4dOgQq1evNv7xSkoArV+/nkqVKiVbSqxLly6sXbuWTp060b9/f2xsbPjqq684deoUc+fOTde1Py2lz4SDgwOLFi0ib9682Nra8sMPPxiXYHty1ktKbXXp0oVZs2aROXNmXFxc+P77743JkKTEy4ABA+jVqxdDhw6ladOmxMbGEh4ezh9//GGc/pm0GdjOnTuxt7d/7pRXEREREREREXlznTlzhkOHDvHRRx+ZPGxbvnx5IiMjU13u/FVJWu48aZZGkqQZI2ZmZtSrV49Vq1aZHM+bN2+qq3+0bt2azZs3s2zZMho0aECtWrWMxx4+fIiPjw+5cuVi2LBhxMfHs3//foYMGcLatWuN955SMmDAALZv387IkSNp2rTpi1yuvIB0zwzZtm0bY8eOpWjRogQGBrJmzRpWr15NYGAgJUuWZPz48cmexhZ5Uzk4ODxz6hskrivYpUsXtm3bRs+ePU02YXpS9erVGTVqFAcPHqRHjx5MnDgRBwcHQkJCgMRltCBxWqKDgwN9+/Zl3bp1mJubEx4ezvvvv09ISAjdunUjMjKSXr16GWdxpMTLy4v27duzcOFCevTowZdffkmLFi3o168fJ0+e5N69e5QsWZI5c+Zw7949fHx86NevH7du3WL+/Pnp3jeoTJkyLF26lLi4OAYPHsygQYOIiYlh7ty51KhRA0hcLmvhwoVUqVKF8ePHM2zYMFxdXZMlXiZOnEiFChUYMWIEfn5+lC9fnk6dOpnU8fX1xdvbm7Vr19KzZ082bdpEQEAAH330EQANGjTAycmJoUOHMn/+/GTx5s2bl2XLllGqVClGjx6Nj48PDx8+JCIiwuQP34tI6TMRFhZG3rx58fX1ZeDAgfzyyy/MmjWLYsWKcejQoWe216dPH3r16sWKFSvo1asX586dw8vLy9gXgJubG/PmzePs2bP079+fYcOGYWtry6JFi4zrdBYtWpRmzZqxdOlSPv/88390jSIiIiIiIiLyevvjjz8YPnw4+/btMyn/8ccfyZs3Lzly5HhFkaWsePHiODg4sHHjRpPyHTt2YGFhgYuLCzly5DBZNSMtq3+MHDkSa2trxo8fb0ysQOI+KqdPn2by5MnY2tpib2/PhAkTuHTpEmPGjHlmm9bW1vj7+3PhwgWWLl364hct6WJmeNYj7Snw8PDg8ePHLF++PNkH5fHjx3h4eJAlSxYNoojIv+Dx48ds2LABV1dX4/JqkLjXzDfffJPsPywvm8Fg4No1LZn4prK3zwLA7dsPXnEk8jJpnN98GuO3g8b57aBxfvNpjN8OGueMlSdP6k/jP8u9xw84fTv6+RVfkmL2+bG1zJIhbUVGRuLn58euXbvInz8/kLgM+blz5yhRokSKm3Z7enqSKVMmFixYYCyLjY2lXbt2XL9+nUGDBpErVy6+/fZb1q5dy5QpU2jevDkA586d48aNG1SqVCnFeEqXLs2AAQPo06dPsmMXLlygfv36TJ48mRYtWpj0ffz4cfLnz2+8hicFBwcza9Ysjh8/blK+ceNGfHx8aNasGa1bt+a3335j5syZdOzYET8/v1Tfs9TiSBIUFERYWBiff/453bt3Z9OmTQwYMIDevXszcOBAk7rjxo1jyZIlTJs2jQ8++IB9+/bx6aefsnTp0mT72CbVBTh58mSq8UnGSPcyWb///js+Pj4pZswsLS1p0aIFQUFBGRKciIg8m6WlJbNnz+arr76iZ8+eZMuWjSNHjrBkyRJ69OjxqsMTEREREREReS3YWmbBOXfRVx3GS7Nz5078/PxYtGgR1atXT9M5VlZWzJs3jxkzZjBt2jRu3rxJ6dKlCQsLo379+sZ6YWFhrF69OkNv5l+5cgUPDw/69etH//7903xe06ZNsbKyIjQ0FC8vL3LlykXfvn2NK2i8qJ49e7JmzRrCwsJo0qQJI0eOxNnZOcVN5D///HP27NnDF198wbvvvvvMdn18fNixYwcXL178R/FJ2qR7ZkjVqlXp1q0bvXr1SvF4WFgYERERz90oRkREMsbZs2cJDAzkwIED3Lt3j0KFCtGuXTs8PT1N1vT8N2hmyJtNT6y9HTTObz6N8dtB4/x20Di/+TTGbweNc8Z60ZkhIvLmS/fMkKpVq7J06VJat25N3rx5TY5dvnyZr776isqVK2dYgCIi8myFCxdm5syZrzoMERERERERERGR/6x0J0MGDBhAu3btaNKkCS1btqRIkSIAnD59mnXr1hEfH8+AAQMyOk4REREREREREREREZEXku5kSOnSpVm4cCHjx49Ptkl6hQoVGDFiBGXLls2wAEVERERERERERERERP6JdCdD/vzzT5ycnPj666+5fv06Fy9exGAw4ODgQO7cuV9GjCIiIiIiIiIiIiIiIi8s3cmQzp0706pVKwYPHkyuXLnIlSvXy4hLREREREREREREREQkQ5in94T79+9TsGDBlxGLiIiIiIiIiIiIiIhIhkt3MqRTp05ERETw66+/vox4REREREREREREREREMlS6l8n67bffuHLlCh9//DGZM2cme/bsmJub5lTMzMzYtm1bhgUpIiIiIiIiIiIiIiLyotKdDHn06BEVKlR4GbGIiIiIiIiIiIiIiIhkuHQnQxYvXvwy4hAREREREREREREREXkp0p0MEREREREREREREXmT3It9xOnb115Z/8Xsc2NrZf3C53t6erJ//36qVKnC0qVLU6zToUMHDh06RL9+/ejfvz/u7u64urri7++frO6FCxeoX78+kydPpkWLFgCULl3apI6ZmRmZM2emSJEidOjQgY8//jhZOxs3bmTlypX8/vvvPHz4kIIFC9KiRQs6duxIlixZjPXSGkvTpk1p3bo1f//9Nxs3biRv3rzJ6gcEBLB48WIWLVpE1apVk8VtYWGBnZ0dzs7O9OjRg6pVqybr62mWlpbY29vj4uLCZ599RtGiRU2O3717l4iICLZs2cL58+fJnDkzpUqVom3btnz44YeYmZkZ6wYHBzNr1iyOHz+erJ/ncXd35+LFiyZl5ubm2NraUrJkSXr16kWdOnUA2LlzJ15eXnh6ejJixAiTcxISEujatStnzpxh7dq1ZM+endKlS+Pg4MD69evJmjWrSf2DBw/SsWNHFi1aRPXq1dMd93/Fc5Mh9evXZ9iwYcYPQUofhqdpzxARERERERERERF5XZy+fQ2/H9a+sv4n1G6Bcx6Hf9SGmZkZP//8M1evXiVPnjwmx6Kjo/n555//UfsAHh4etG7dGgCDwUBMTAzffPMNI0eOJD4+nvbt2wOJN9s/++wztm7dykcffUTHjh3JmjUrhw4dIjQ0lJ07dxIeHm6SEEkLS0tLAgIC8PDwYOzYsYSEhJgc/+WXX1i8eDGdOnUySXI8GXdsbCyXL19m6dKlfPrpp8yYMYNGjRqZtNO/f39q1aplfP3gwQOOHTvG7Nmz6dq1K5s2bcLaOjF5df78ebp27crdu3fp1KkTLi4u3L9/n507dzJ06FC2bNnCtGnTsLKySte1psbd3R0vLy/j67i4OM6dO8fcuXPp06cPq1atokyZMtStW5d27dqxZMkS6tWrR82aNY3nhIWFsX//fhYuXEj27NmN5RcvXiQwMJCRI0dmSKz/Nc9NhrzzzjsmmaB33nnnpQYkIiIiIiIiIiIiIulToUIFTp48yZYtW+jYsaPJsU2bNlGyZElOnTr1j/rInz8/lSpVMimrUaMGJ06cYOHChcZkSHh4OBs3bmTWrFm4u7ub1K1UqRLdu3cnIiKCPn36pDsGJycnunbtSnh4OFu2bOH9998HEpMcI0aMoGjRogwaNOi5cTdp0gRPT09GjhxJzZo1sbW1NR4rVKhQsvqurq7Y2NjwxRdfsHfvXtzc3EhISGDAgAHEx8ezdu1a8uXLZ6zv7u5O3bp16dOnD8HBwXz22WfpvtaU5MyZM1lsVapUoWLFijRt2pR169ZRpkwZAIYOHcrevXsZOnQo3377LdmzZ2ffvn2EhYXRp08fk4QRgJ2dHUuXLqVJkyZUqVIlQ+L9L3luMuTpPUK0Z4iIiIiIiIiIiIjIf4utrS21atVi06ZNyZIhGzdupEmTJslmUmQEc3NzypQpw/fffw/A48ePiYiIoF69eiaJkCS1a9emT58+FCpU6IX77N+/P9u2bWPs2LHUqFEDW1tbwsPDOX36NMuXLzfO2ngWCwsL+vfvT5cuXfjuu+9o27btc8/Jli2byeudO3dy7Ngxpk+fbpIISeLu7k6zZs1YuHAhXl5eJgmXjJYU25NLcmXJkoUpU6bQvn17xo4dy+jRoxk8eDCVK1dOMRHVoUMHNm7cyPDhw1m3bl2a3sfXiXl6Txg+fDj79u17GbGIiIiIiIiIiIiIyAtq0qQJhw4d4vr168ayixcvcvToUT744INk9Q0GA3Fxccl+EhIS0tXvX3/9haOjIwDHjh3j5s2b1K1bN9X6AwYM4MMPP3zhWKytrQkICOD69euEhIRw/vx55syZQ8+ePXFyckpz3NWrV8fc3DzZEmJPx3L37l1+/PFHAgMDcXBwMM6a2L17N+bm5ri5uaXaR+PGjXn06BF79uxJc1zP8nRsDx484MSJE/j6+mJpaUmzZs1M6js7O9OnTx82bNhA586diY2NZerUqZibJ08NZM6cmfHjx3P27FmCgoIyJN7/knRvoL5hwwYiIyPJmzcvH3zwAc2aNaNcuXIvIzYRERERERERERERSSN3d3cyZcrE1q1badeuHQDfffcd5cqVo3Dhwsnqf/PNN3zzzTdpbj8hIYG4uDjj75cvX+arr77ixIkTjBo1CoC///4bSP92C+mN5d133+WTTz5hyZIlHD58mOLFi6d72a1MmTKRI0cOrl69alI+ZMgQhgwZYlKWNWtWatWqha+vLzY2NkDihuvZs2c3vk5JUpLo0qVL6YotNSm9TxYWFjg5OfHll19StmzZZOf06tWLzZs3c/z4cfz9/VOcxZLkvffe4+OPP2bBggU0btwYZ2fnDIn7vyDdyZCffvqJHTt2sHHjRpYuXUpERARFixalefPmfPDBB/9oepOIiIiIiIiIiIiIvBhbW1tq167Npk2bjMmQjRs30rRp0xTr169fn969eycrv3r1aorlwcHBBAcHm5TZ2NjQs2dP434hFhaJt5zTO7skvbEA+Pj4sGPHDo4dO0ZkZCSWlpbp6jM13t7e1KlTB4PBwIEDB5gxYwbNmjVj9OjRxuuDxFkaT75OSaZMmYx10yop4fRkG0nLXz35Pp09e5apU6eSP39+goODyZMnT4rt/fnnn5w5cwZITKa0atXKGFdKfH192bVrF8OHDycyMjLNcf/XpTsZkiVLFpo2bUrTpk25d+8e27Zt47vvviM0NJSgoCAqVqzIhx9+mGxdOhERERERERERERF5uZo0acLQoUO5ceMG9+7d4/jx46nuFZIjR44Ul5W6cOFCivXbt2/PRx99BCTuFWJra0vBggVNbqwnzQi5ePFiqjFeu3YNe3t7k+RFemOBxHvVVapU4dChQ5QqVSrVeql59OgRt2/fTjZTomDBgsZYnJ2dyZEjB35+fmTKlIkvvvjCWM/BwYHdu3fz4MEDsmTJkmIfSfEXKFAgTTFduHCB+vXrm5RNmDCB1q1bA6bvk5OTE2XKlOGjjz6iZ8+erFixAisrK5Nz79+/z6BBgyhYsCCffPIJY8eOZc6cOc+cRWNra8vYsWPp2bMns2bNokaNGmmK/b8u3XuGPMnW1paWLVsyZ84cNm7ciJubG0eOHGH8+PEZFZ+IiIiIiIiIiIiIpFG9evXIlCkT27dv57vvvqNSpUrpXrIqNXnz5sXJyQknJyfKly9P4cKFk80wKFu2LLlz5yYqKirVdnx8fGjcuHG6Z49ktAMHDhAXF2fcAyQ1rVu3pm7duixbtowff/zRWO7u7k5cXBzbt29P9dzNmzdjbW1NzZo10xRT3rx5WbVqlclPvXr1Uq1fokQJvL29U016jRs3jvPnzzNlyhQ6duyIm5sboaGh/Prrr8+Mw83NjRYtWjB37lxOnjyZptj/6/5RMuTGjRusWLGCzp0706RJE3bt2kXVqlUZO3ZsRsUnIiIiIiIiIiIiImmUtFTW5s2b2bx5c6pLZL0s5ubmdOrUiZ07d7Jr165kx3fu3Mn+/ftp1qxZipt4/1vi4+MJCwsjZ86cvP/++8+tP3LkSKytrRk/fjyPHz8GoGbNmri4uDBp0qQUZ8JERUWxevVqOnbsiJ2dXZrisrKyMiackn5y5MjxzHM6depEqVKlmD9/Pn/99ZexfP369URGRtK/f38qVKgAgL+/P7a2tgwePJgHDx48s91hw4Zhb2/PtGnT0hT7f126l8m6efMmW7ZsYdOmTcbMWenSpRk4cCDNmjUjf/78LyNOERERERERERERkZeimH1uJtRu8Ur7z0hJS2UlJCTQuHHjDG07LTp37sy+ffvo27cvHh4e1KlTB4C9e/eydOlSqlSpQt++ff+1eKKjozly5AiQuB/HxYsXWbFiBUePHmXmzJnP3AA9ScGCBenWrRthYWEsXLiQ7t27Y25uTmBgID179uSjjz6iS5cuVKxYkdjYWHbt2sWKFStwc3Nj0KBBJm0ZDAYWLFiQrI+cOXPSvHnzdF+fhYUFw4YNo3PnzgQEBDB37lzOnz/P6NGjqVq1Kj169DDWzZMnD2PHjsXb25sJEyY8c2JD9uzZGTVqFN7e3umO6b8o3cmQWrVqkZCQQIECBejWrRsffvghJUqUeBmxiYiIiIiIiIiIiLx0tlbWOOdxeNVhZJikpbJcXFzImzfvv96/lZUVs2fPZvny5axdu5b169cTGxtL4cKFGTRoEO3bt0+2t8XLtGLFClasWAEkbkaeM2dO3n33XZYtW5biPiWp6dmzJ2vWrCEsLIzmzZuTN29eHBwcWLFiBV999RXr169n9uzZWFlZUapUKfz9/WnevLlx8/MkCQkJTJgwIVn7ZcqUeaFkCICrqyuNGjVi8+bNfP/998yaNQszMzMmT56cbAZOo0aNaNmyJStWrKBu3bq4u7un2m6jRo2M7b7uzAzp2cYe+OKLL/jwww+pXLnyy4pJREReUwaDgWvX7r3qMOQlsbdP3Azu9u1nT6OV15vG+c2nMX47aJzfDhrnN5/G+O2gcc5YefKkbSkiEXn7pHtmyBdffPESwhAREREREREREREREXk50p0MgcSNX7799luuXbtGfHx8suNmZmYsXLjwHwcnIiIiIiIiIiIiIiLyT6U7GbJ06VLGjx8PQK5cuf7Vtd1ERERERERERERERETSK93JkEWLFlGmTBnCw8PJnTv3y4hJREREREREREREREQkw5g/v4qpv//+Gw8PDyVCRERERERERERERETktZDuZIijoyPXrl17GbGIiIiIiIiIiIiIiIhkuHQnQ3r27MnixYv5888/X0Y8IiIiIiIiIiIiIiIiGSrde4YcOnQIGxsbWrRoQdGiRcmZMydmZmYmdczMzFi4cGGGBSkiIiIiIiIiIiIiIvKi0p0M+eGHHwDInz8/Dx484OLFixkelIiIiIiIiIiIiIiISEZJdzLk+++/fxlxiIiIiIiIiIiIiIiIvBTPTYb069ePzp07U6VKFWOZwWDg5MmTFC5cmCxZspjUX7duHUOHDuX48eMZH62IiIiIiIiIiIhIBrsXG8uZ2zdfWf9F7XNga2X1wud7enqyf/9+kzIzMzOyZs1KkSJF6NSpEy1atODEiRO0bduWOnXqEBYWlqwdPz8/Nm/ezJo1a3B0dMTd3Z07d+6wYcMG8uXLZ1I3OjoaNzc3JkyYQOvWrdMUZ0xMDM2bN8fb25sWLVokO3758mU++OADZs+ebXI/GhJXLJo5cyZ//vknOXLkoHXr1vTq1QtLS0tjnZs3bzJ16lS2b9/Oo0ePcHJywtfXlwoVKqQYj7e3N3Z2dvj7+6cpfnm9PTcZsm3bNho1amRSduvWLVq1asX8+fNxdXVNdo7BYMi4CEVEREREREREREReojO3b+K3a9sr63+CWwOc8uR7fsVncHJyYsSIEcbX8fHxREdHs2DBAnx9fcmePTtubm54e3sTGBjIypUradu2rbH+mjVriIyMZOrUqTg6OhrL7969y+jRo5k9e/Y/iu/evXv06dOHCxcupHj8ypUrdO/enbt37yY7duDAAXr16kXTpk0ZNGgQZ86cYerUqVy/fp0vvvgCgLi4OLp168atW7cYPnw42bJlY/bs2XTr1o1169aZJHMMBgNTpkxh8+bNtGnT5h9dl7w+0r1MVhIlPERERERERERERET+G2xtbalUqVKy8jp16uDq6kpkZCRubm50796dqKgoAgICqF69Oo6Ojpw6dYoxY8bQunVrPvzwQ5Pz7ezs2LFjB+vWraN58+YvFNsPP/zAuHHjuH37drJjBoOBjRs3EhAQQFxcXIrnz5s3j+LFizN58mTMzMyoUaMGN27cYPbs2fj5+WFtbc3atWv5448/WLt2LcWLFwcSE0QtW7bkwIEDNGvWDIBTp07h7+/PwYMHyZw58wtdj7yezF91ACIiIiIiIiIiIiLyclhbW2NlZYWZmRkA5ubmTJo0CXNzc3x9fXn06BE+Pj7ky5ePkSNHJju/YcOGuLi44O/vz/Xr118ohh49euDk5ER4eHiyYxcvXmTIkCE0adKESZMmpXj+qFGjmD59uvEaACwtLYmPj+fx48cAbN26lerVqxsTIQA5c+YkKirKmAgB+OKLL7h37x4rVqwgV65cL3Q98npSMkRERERERERERETkNWcwGIiLizP+PHr0iFOnTuHn50dMTIzJHh0ODg6MHDmSw4cP065dO06fPs2MGTPImjVrsnbNzc3x9/fnwYMHjB079oViW7duHYGBgeTMmTPZsRw5crBp0yZGjBiRbH/qJ+NNSnLcu3ePLVu2MH/+fD744ANsbW0BOHnyJCVLlmTevHnUrVuX8uXL0759e06cOGHS1siRI/n6668pW7bsC12LvL5eeJksEREREREREREREflv2Lt3L+XLlzcpMzMzo3Tp0gQFBVGvXj2TYy1btuS7775j586d9OnThzJlyqTadvHixenXrx+BgYFs3bqVhg0bpiu2UqVKpXrMxsYGGxubNLVz8+ZN3nvvPQAKFSqEj4+P8diNGzdYv349uXLlYsSIEZiZmREcHEznzp3ZtGkTOXLkeG4s8mbTzBARERERERERERGR15yzszOrVq1i1apVhIaGUqpUKYoWLcr06dNp3LhxsvqXL1/myJEjAGzYsIH79+8/s/2uXbtSvnx5xowZk+LeH/Hx8SYzU+Lj4zPkup5kaWnJggULmDFjBlZWVnh4eHD16lUAHj9+TExMDPPmzaNBgwbUr1+fOXPm8ODBAxYvXpzhscjrJ03JkFu3bnHp0iXjT3R0NJCYbXuy/NKlS9y8efOlBiwiIiIiIiIiIiIipmxsbHBycsLJyYkGDRoQERHB7du36dq1Kzdu3DCpm5CQwODBgzE3N2fatGmcPXsWf3//Z7ZvYWFBQEAAt27dIiAgINnxzp07U758eeNP586dM/LygMRN4l1dXWnSpAlz587l2rVrfPPNN0Di9ZcrV448efIY6+fLl4+SJUty8uTJDI9FXj9pWiYrICAgxQ/44MGDMzwgEREREREREREREflncufOzahRoxgwYAD+/v4EBgYaj4WFhbF//35CQ0Np0KABBw4cYNmyZdSrV48GDRqk2maZMmXo0aMHYWFhVK5c2eTYmDFjiImJMb5O69JXabFp0yYcHBxwcnIylhUsWBB7e3uuXLkCQOHChYmNjU127uPHj002Xpe313OTIa1atfo34hARERERERERERGRDNS4cWNq167N+vXr8fDwoFq1ahw8eJCwsDA8PDyMiY8hQ4bw008/MWLECCpWrGgyu+JpvXv3ZuvWrUyaNMmkvFixYi/tOkJDQ8mePbvJclfHjh3j1q1bxj1AateuzZw5c/jrr78oUqQIAOfPn+f06dO0bt36pcUmr4/nJkMmTJjwb8QhIiIiIiIiIiIi8koUtc/BBLfUZ0T8G/2/LMOGDaN58+aMHz+ehQsXMnjwYBwdHfHz8zPWyZIlC5MnT6ZDhw74+fkRHh6e6mwKKysrAgICaNeu3UuL+Wl9+/ZlwIABDBs2jGbNmnHx4kVmzpxJqVKljA/zd+rUicjISLy8vBgwYAAWFhbMmDGDvHnz0qZNm38tVvnvStMyWSIiIiIiIiIiIiJvKlsrK5zy5HvVYbwUxYoVw9PTk/nz59OoUSPu37/P8uXLyZIli0m9ihUr4uXlRWhoKEuWLMHT0zPVNp2dnenUqRPz589/2eEDiTNcQkNDmT17Nn369CFr1qw0aNCAzz77DGtrawCyZ8/OsmXLmDx5MqNGjSIhIYEaNWowbNgwbG1t/5U45b/NzGAwGF51ECIi8mYwGAxcu3bvVYchL4m9feJ/lG/ffvCKI5GXSeP85tMYvx00zm8HjfObT2P8dtA4Z6w8eexedQgi8h9l/qoDEBEREREREREREREReZmUDBERERERERERERERkTeakiEiIiIiIiIiIiIiIvJGUzJERERERERERERERETeaEqGiIiIiIiIiIiIiIjIG03JEBEREREREREREREReaMpGSIiIiIiIiIiIiIiIm80JUNEREREREREREREROSNpmSIiIiIiIiIiIiIiIi80ZQMERERERERERERERGRN5rFqw5ARERERERERERE5FW6F/uYM7fvvLL+i9pnw9bK8oXP9/T0ZP/+/SZlZmZmZM2alSJFitCpUydatGjBiRMnaNu2LXXq1CEsLCxZO35+fmzevJk1a9bg6OiIu7s7d+7cYcOGDeTLl8+kbnR0NG5ubkyYMIHWrVunKc6YmBiaN2+Ot7c3LVq0MJa7u7tz8eLFFM+pVq0aixcvBuD8+fNMmjSJAwcOkClTJlxdXRkyZAh58+Y16WPq1Kls2bKF+/fvU6VKFYYPH06RIkWMdS5evMikSZPYs2ePsY/PPvuM4sWLp+k65PWkZIiIiIiIiIiIiIi81c7cvsPwXT+9sv793VxxypPrH7Xh5OTEiBEjjK/j4+OJjo5mwYIF+Pr6kj17dtzc3PD29iYwMJCVK1fStm1bY/01a9YQGRnJ1KlTcXR0NJbfvXuX0aNHM3v27H8U37179+jTpw8XLlxIdiwkJITY2FiTss2bNzN//nzat28PwIMHD+jWrRtmZmaMHTsWg8FAYGAgPXv2ZOXKlVhaJiaTBg0axK+//oqvry82NjaEhITw6aefsmHDBuzs7Lh9+zYdOnQgPj4eX19fChQowJo1a2jfvj3ffPMNhQoV+kfXKf9dSoaIiIiIiIiIiIiIvOZsbW2pVKlSsvI6derg6upKZGQkbm5udO/enaioKAICAqhevTqOjo6cOnWKMWPG0Lp1az788EOT8+3s7NixYwfr1q2jefPmLxTbDz/8wLhx47h9+3aKx8uVK2fy+tKlS6xcuZKOHTvStGlTAA4dOsTZs2dZsmQJVatWBcDe3p7OnTtz+PBhqlWrxsGDB9m1axfh4eHUqVMHgCpVqlC/fn2WLVtGz549iYyMJDo6mpUrV+Ls7AxArVq18PDwYMaMGQQGBr7QNcp/n/YMEREREREREREREXlDWVtbY2VlhZmZGQDm5uZMmjQJc3NzfH19efToET4+PuTLl4+RI0cmO79hw4a4uLjg7+/P9evXXyiGHj164OTkRHh4eJrqT5w4kcyZM+Pj42Mse/ToEQA2NjbGshw5cgBw69YtAHbv3o2NjQ01a9Y01smZMydVq1YlKioKgDNnzpArVy5jIgQSlxSrXLkyu3bteqHrk9eDkiEiIiIiIiIiIiIirzmDwUBcXJzx59GjR5w6dQo/Pz9iYmJM9uhwcHBg5MiRHD58mHbt2nH69GlmzJhB1qxZk7Vrbm6Ov78/Dx48YOzYsS8U27p16wgMDCRnzpzPrXvkyBE2b96Mj48Ptra2xvJatWpRvHhxpk6dyqVLl/j777+ZMmUKefLkoUaNGgCcPn2awoULkylTJpM2HR0dOXPmDAAFChTgzp073Lt3z6TOhQsXuHv3rjGxIm8eJUNEREREREREREREXnN79+6lfPnyxh9nZ2c++OAD/ve//xEUFES9evVM6rds2ZK6dety/PhxunfvTpkyZVJtu3jx4vTr149NmzaxdevWdMdWqlSpNNedN28eDg4OyZbksra2Zvz48Rw7dox69epRt25djh49yty5c41Jk3v37pkkUJLY2NgYkx9NmjQhU6ZMDBw4kNOnT3Pr1i2WLFlinDny4MGDdF+fvB6UDBERERERERERERF5zTk7O7Nq1SpWrVpFaGgopUqVomjRokyfPp3GjRsnq3/58mWOHDkCwIYNG7h///4z2+/atSvly5dnzJgxKe79ER8fbzIzJT4+Pt3XEB0dzfbt2+ncuTMWFqbbXe/bt49OnTpRoUIF5s6dy+zZsylbtizdu3fn1KlTQOLsmNSYmyfeCi9SpAgzZ87kjz/+oEmTJlSvXp3Nmzfj5eUFQObMmdMdt7welAwRERERERERERERec3Z2Njg5OSEk5MTDRo0ICIigtu3b9O1a1du3LhhUjchIYHBgwdjbm7OtGnTOHv2LP7+/s9s38LCgoCAAG7dukVAQECy4507dzaZmdK5c+d0X8OWLVswNzenWbNmyY7NmTOHd955h1mzZuHm5ka9evUIDw8nS5YsBAUFAYmbyMfExCQ7NyYmxmTGiJubG7t27WLbtm3s3LmTxYsXk5CQgLm5OdmyZUt33PJ6sHh+FRERERERERERERF5neTOnZtRo0YxYMAA/P39CQwMNB4LCwtj//79hIaG0qBBAw4cOMCyZcuoV68eDRo0SLXNMmXK0KNHD8LCwqhcubLJsTFjxpgkIp7c6Dytdu7cSbVq1VLcW+TixYtUqFABKysrY5m1tTXOzs78/vvvABQtWpSffvoJg8Fg3DAe4OzZsxQtWhSAS5cusXv3blq1akWhQoWMdY4fP07p0qWT7Tcibw7NDBERERERERERERF5AzVu3JjatWuzfv169u/fD8DBgwcJCwvDw8PDmPgYMmQIRYoUYcSIEVy9evWZbfbu3ZuSJUsyadIkk/JixYoZZ6Y4OTlRrFixdMVqMBg4evRosiRLkqJFi3L06FEeP35sLIuNjeXYsWM4ODgAiZus37lzhz179hjr3Lhxg4MHDxo3Wb927RojRozg4MGDxjqnT58mKirqmYkgef0pGSIiIiIiIiIiIiLyhho2bBiWlpaMHz+emzdvMnjwYBwdHfHz8zPWyZIlC5MnT+bu3bv4+fk9c+8NKysrAgICMnyj8UuXLnH37l2KFy+e4vE+ffrw999/06tXL3bu3Mn3339Pr169uHTpEr179wagatWqVKtWDR8fH1auXMnWrVvp3LkzdnZ2tG/fHoAKFSpQqVIlRo8ezbZt29i0aRPdu3enQIECdOrUKUOvSf5btEyWiIiIiIiIiIiIvNWK2mfD3831lfb/shQrVgxPT0/mz59Po0aNuH//PsuXLydLliwm9SpWrIiXlxehoaEsWbIET0/PVNt0dnamU6dOzJ8/P8PivH79OgD29vap9rl48WJmzJjBwIEDsba2pkKFCixfvpwKFSoY64WEhDBx4kQmT55MQkIClStXZsaMGcZ2zc3NCQ4Oxt/fn2HDhmFubk7t2rUZPHgwdnZ2GXY98t9jZnhWmk9ERCQdDAYD167de9VhyEtib5/4H+XbtzP26R/5b9E4v/k0xm8HjfPbQeP85tMYvx00zhkrTx7dzBaRlGmZLBEREREREREREREReaMpGSIiIiIiIiIiIiIiIm80JUNEREREREREREREROSNpg3URUQkQyWtdytvHguLTIDG+E2ncX7zaYzfDhrnt4PG+fUVF5dATMyjVx2GiIjIW0XJEBERyVC/3zn/qkMQEREREfnPKmafHysLy1cdhoiIyFtHyRB55QwGA2ZmZq86DBHJAAmGBIb+OP9VhyEiIiIi8p81sVZXymQr9KrDEBEReeu8sj1DDAYDCxYsoFGjRjg7O9O8eXO+/fbb55534cIFSpcubfJTpkwZXFxc8PDwYNu2bca6+/bto3Tp0hw8ePBlXkqaRUZGUrp0aaKjo191KEZDhw6lYcOGr6Tv2NhYJk6cmKZxfxMFBwdTrly5Vx3GS/Nf/LyLiIiIiIiIiIjI2+mVzQyZM2cOM2fOpH///lSqVImoqCgGDx5MpkyZaNq06XPP79+/P7Vq1QISEyt37twhIiKCfv36MWfOHNzc3F72JbwR+vTpQ0xMzCvp+8aNG0RERDBhwoRX0r+IZDxzM3O+/mDYqw5DREREROQ/K0smKzBodQQREZF/2ytJhjx+/Jj58+fTvn17evfuDYCrqyu//fYbS5YsSVMypFChQlSqVMmkrGrVqri5ubFo0SIlQ9LI0dHxVYcgIm+Y07duvOoQRERERET+s4rZ5yZLJu0ZIiIi8m97JcmQTJkysXjxYrJnz25Sbmlpyf3791+43axZs1KkSBEuXbpkUn7q1ClCQ0M5dOgQdnZ2fPTRRwwYMIBMmTIBkJCQwNy5c1m1ahXR0dEULFiQbt260bZtW2Mbnp6eFC1alHfeeYdly5Zx48YNypcvz/Dhw3FycuLPP/+kWbNm+Pv706ZNG+N5p0+fpkmTJsyZMydZvEOHDiU6OprGjRsTFhbG3bt3qVq1KiNGjDAmKYKDg9mwYQNNmzZl8eLFZMmShe+++w5ra2uWLFnCypUrOX/+PHny5KFNmzb07NnTeF2enp44OjpSoEABlixZQlxcHHXq1GHEiBHkzJnTGMOhQ4fYunUrAHFxcWlq91nvRZLNmzezYMECfv/9dx4/fkyhQoXw9PSkQ4cOXLhwgfr16wPg5+dHSEgI33//PQAHDhxgxowZ/Pbbb2TOnJmGDRvi6+tLtmzZUh37+Ph45s2bx7fffsu5c+cwNzenbNmyDBw4kOrVqwPw8OFDJk6cyPfff8+NGzcoWLAgbdu2pVu3bs/8XO3atYtZs2bx+++/Y2dnR6NGjRg0aBA2NjZA4nJsc+bM4ddff+XBgwfky5ePVq1a0adPH8zNzY3X6ufnx7Jly7h8+TLjxo0ztr9p0yYCAwO5fPkyzs7O+Pr64uzsbDx+6tQpAgMDOXz4MA8fPqRy5coMHjyYMmXKGPv/9NNPWbhwIbNnz+bw4cPY2trSqlUrBg0aZBy3lKQ19uDgYNatW8fu3buxtLSkUaNGDBs2jCxZsgCJ36HZs2fz9ddfc/PmTWrWrEnVqlWf+b4mnfdPv3tJTp48ydSpUzl48CDm5ubUqlULPz8/8ufPb/I+jR07llmzZnH37l1mz55N1apVWblyJfPmzePvv/+mTJkyeHl50adPHxYtWkTOnDmf+92uW7dusmu7ceMG/v7+7N27l7t371K0aFG6dOlCy5Yt0zy2kZGR+Pn5sWvXLuN1ALi7u+Pq6oq/v3+qn68PP/yQI0eOEBQUxC+//IK1tTW1a9dmyJAh5MqVC4CbN28SGBjI9u3biYmJoXz58gwePJjKlSs/d+xSHVODAb8f1r7w+SIiIiIib7oJtVtQxj7fqw5DRETkrfNKkiHm5uaULl0aSFzi6vr160RGRrJnzx7Gjh37wu0+fvyYixcvmtwgBfD396d379707NmTbdu2MWfOHAoUKED79u0B+OKLL4iMjKR3795UrFiR3bt3M3LkSB4+fIinp6exnY0bN1KiRAlGjhyJwWBg0qRJDBgwgG3btlGyZEmcnJxYt26dyQ3TNWvWkCdPHmrXrs3atclvEP7222+cOnWKwYMHY2lpSWBgIJ9++ikbN24ka9asAJw/f57du3czY8YM7ty5g42NDUOGDGHDhg306tULFxcXfv75Z0JDQzl//jwBAQHG9rds2ULu3LkZO3Ysd+/eZfLkyXTv3p1Vq1Zhbp58y5jhw4enqd1nvRfm5uZs374db29vOnfujLe3Nw8fPuSrr75izJgxVKhQgTJlyjBr1ix69+5N7969ef/994HEREiXLl2oUaMGQUFBXL9+nenTp3Py5EmWLVuGhUXKH9nJkyfz9ddfM3jwYEqWLMnly5cJDQ1lwIAB7NixgyxZshAQEMCPP/7I0KFDyZUrF1FRUUyePJmcOXPSqlWrFNvdsWOHMb7evXtz7do1Jk2axNWrVwkKCuLYsWN07dqVpk2bMmPGDBISEvj2228JDg6mWLFiJrOcQkJCGD58OJkzZ6Zq1ar89ddfxMfHM3r0aAYNGkSePHmYPXs2nTp1Yt26dRQqVIiTJ0/Srl07SpQowZgxY4DEJebat2/PypUrKVGihLH9zz77jI4dO9KrVy927NhBeHg4hQsXNkksPCk9sY8YMYKPPvqIsLAwjh49yvTp08mVKxcDBw4EYMqUKSxatMj4Hfruu+8IDAxMsd8nZcR3z9zcnDNnztC+fXtKlCjBlClTiI2NJTg4mI4dO7JmzRrs7OyMbYWGhjJixAhiYmKoWLEi33zzDSNGjKBjx47Uq1ePvXv34uPjY6yflu92Sj7//HOuX7/OmDFjsLW1Ze3atQwZMoQCBQpQvXr1dI1tWjz9+Tp+/DiffPIJ7777LpMnTyY2NpapU6fSq1cvVq5cyaNHj+jcuTPXr1/Hx8eHPHnysHz5cjp37szSpUtNEnIiIiIiIiIib7qY2DjO3H7xh7T/qaL2WbGxemU7Goi8FV75N2zLli14e3sDULduXZo3b56m8wwGA3FxcUDirICLFy8ya9Ysrl+/TocOHUzqdunSxbgc13vvvcf27dvZu3cv7du358yZM3z99df4+vrStWtXAGrVqkV8fDxBQUG0adPG+PR70uwDW1tbAGJiYhgyZAh//PEHZcqU4aOPPmLMmDFER0eTP39+EhISWLduHR9++GGqT+ffvXuXL7/8kooVKwJQvHhxWrRowerVq+nYsSOQOFvDz8/PuCzYn3/+yZo1a/D19TXOaqhZsyaZM2dm6tSpdO7cmVKlSgHw4MED5s+fT4ECBQDImTMnvXr1IioqKtnT7Olp93nvxalTp2jdujV+fn7G9l1cXKhevTr79+/H2dnZuHm4o6Oj8ffAwECKFy/O7NmzjcmacuXK0apVKzZu3Jjq5+PKlSv4+PgY3zMAa2tr+vfvz59//omzszP79++nZs2axpv81atXJ2vWrOTIkSPFNiFxZk6FChWYOXOmscxgMBAREcG9e/f4448/qFWrFpMnT8bMzMz4nn3//fccOHDAJKHQtGnTFJMu48ePN25i/+677+Lu7s6iRYsYPnw4oaGhZMmShYULFxqTYzVr1qRhw4bMnDnTJC4PDw/69OkDJH7Ot23bxs6dO1NNhqQn9nr16jFkyBAgcUm73bt3s3PnTgYOHMidO3dYvHgxXbt2pV+/fgDUrl2bK1eu8MMPP6T63mbkdy8kJISsWbMSERFhnLFTtWpVGjRowJIlS4zff4BPPvnEmHyDxCRCo0aNGDVqlDH2mJgYli1bZqzzIt/t/fv307dvXxo0aABAtWrVyJ49O5aWidPh0zO2afH052vs2LHkypWLefPmYWVlBUD27NkZNWoUZ8+eZd++fZw8eZKVK1caE8h16tShTZs2TJ8+nYiIiHT1n8TczIwJtVu80LkiIiIiIm+DYva5X3UIIpKCM7fvMyrq+Cvrf2ydclTIk/qqKM/j6enJ/v37TcrMzMyMK+l06tSJFi1acOLECdq2bUudOnUICwtL1o6fnx+bN29mzZo1ODo64u7uzp07d9iwYQP58pnOaouOjsbNzY0JEybQunXrZ8a3b98+4wPPSatw9O3b13jPAuDo0aNMmTKFY8eOkSVLFpo0acLAgQON94Oe9ttvv+Hh4UFAQAAtWvz/vYikh5h3797NrVu3KFq0KD169KBJkybPfR/lzfbKkyHlypVjyZIlnDx5kqCgIHr27MnChQuBxBugT3pyVsCQIUOMN2eT5MiRAz8/v2T7hVSpUsX4u5mZGQ4ODty9exeAvXv3YjAYqFevnjG5AonL0CxcuJCjR48al1kqXbq0yZcv6R+ApKW9mjVrxsSJE1m3bh09e/Zk3759/P3338/8x6BQoULGREhSH4ULF+bgwYMmN/bLli1r/P3AgQPG/p7UvHlzpk6dyoEDB4xJi8qVKxsTIZCYcLKysuLgwYPJkiHpafd570XPnj2BxJvWZ86c4dy5c/z6669A4gyelDx48IBffvmFnj17kpCQQEJCApD4ZP4777zDnj17Uk2GTJ8+HUhcmuj06dOcPXuWHTt2mPRXvXp1li9fbvyH2s3Njb59+6bYHiQuq3X8+HEGDRpkUt6mTRvjDIFWrVrRqlUrHj16ZLzO48ePEx8fn+w6nxzDJJaWlsblwiDxM/zuu+9y6NAhAA4ePIi7u7vxZjmAjY0N7u7ubNu2zaStd9991+R1/vz5efDgQarXl57YU2r78uXLABw5coTHjx+bXAdAkyZNnpkMycjv3t69e3F1dcXa2trYVo4cOXB2dmbPnj0myZCkJagAzp49y6VLlxg8eLBJbE2bNjVJhrzId7t69eoEBwdz/PhxateujZubm8m/WekZ27R4+vN16NAh6tevb/Kfiho1ahjbnjFjBvny5aNs2bIm73+9evWYM2cOsbGxJuemh6b8v7ksLBKTf3Fx8c+pKa8zjfObT2P8dtA4vx00zq+vuLiEVx2CiLyBnJycGDFihPF1fHw80dHRLFiwAF9fX7Jnz46bmxve3t4EBgaycuVKk4do16xZQ2RkJFOnTjXZZ/ju3buMHj2a2bNnv1BcJ0+epFu3bri6uhIcHMxff/1FYGAgd+7cYfTo0UDicuSdO3fGxcWFoKAgrl27xtSpUzl79izh4eHJ2oyNjWXo0KEm9zSSyrt3787du3fx9vYmb968bN68mYEDBxIfH5/svqe8XV55MqRQoUIUKlSIqlWrYmtry5AhQzh8+DB//fWXyawCgO3btxt/9/b2pk6dOkDiHiR2dnYULFjQ+IT7k5KeLk9ibm5uvNF+69YtABo3bpxifFeuXDH+njlz5mTtAMa27OzsaNCggfGG6Zo1a3BycqJkyZKpXn/evHmTleXKlYs7d+4YX2fKlAlra2vj69u3bxvrPX0eYEz0pNS+mZkZOXPmNGn/Rdp93ntx48YNRo8ezbZt2zAzM6Nw4cLGpJTBYEjWN8CdO3eMe0+k9I/rk2PxtF9//ZUxY8bw66+/kiVLFkqUKME777xj0t/w4cPJnz8/69atY9y4cYwbNw4XFxe++OILkxvkT74fBoPBuL9KSh4+fMi4ceNYu3YtcXFxFCxYEBcXFywsLJJd55M3vZPkyJEj2XJlOXPm5Pz588YYcudO/tRQrly5uHfvnklZSmOSNB7/NPZntZ30uXn6fcqTJ0+qfUPGfvdu3brFt99+y7fffpusnSJFipi8fnIcbty4kWLsT7/nL/Ldnj59OrNnz+a7775j8+bNmJubU6NGDcaOHYuDg0O6xjYtnv583bp165mf3Vu3bhEdHU358uVTPH7z5s1kT3yk1e3bqSfh5PVmb5/491Rj/GbTOL/5NMZvB43z20HjLCIiT7K1tTWuLPOkOnXq4OrqSmRkJG5ubnTv3p2oqCgCAgKoXr06jo6OnDp1ijFjxtC6dWs+/PBDk/Pt7OzYsWMH69atS/OqPk/asGEDlpaWzJw5kyxZslCrVi2uX79OeHg4w4YNw9LSkiVLlpA5c2ZCQ0ON94EMBgN+fn6cO3fOJDkDiQ95PnmvMklUVBS///47K1euNC4BXrNmTS5dukR4eLiSIW+5V5IMuXXrFjt37sTV1dXkZlvSUklXrlyhXr16rFq1yuS8vHnzGm+QFixYMNneIC8iaS+BpC/c0woWLJiu9tq0aUPnzp05ceIE27ZtM9l7ICVJN4SfdP369Weu15+0kfj169dN3r+rV68CmCz79HT7SXu0pHSTND3tPs/gwYM5c+YMCxYswMXFBSsrKx48eMDXX3+d6jk2NjaYmZnRtWvXFKetJS1/9LR79+7RvXt3ypYty4YNGyhWrBjm5ubs2rWLzZs3G+tZWVkZ9yi5dOkSO3bsICwsjM8//zzFm+hJMxFu3ryZrL/Dhw9TqVIlJk+ezJYtWwgKCsLV1dV4Q9rV1fX5bxKJCSaDwWCSxLt27ZpxfLJly8a1a9eSnXf16lWyZ8+epj5S4+/v/49iT5L0ubh27ZrJH6aUPttPysjvnq2tLXXq1OHTTz9NduxZsxuSPufXr183KU9Kkjwpvd9tOzs7Pv/8cz7//HNOnz7N9u3bCQsLY9y4ccyePTtNY5v0uXh6llxMTMwz+4bE9+Tp60hISCAqKgonJyfs7OwoXrw4kyZNSvH89HzfRUREREREROS/y9raGisrK+N9BnNzcyZNmkTz5s3x9fVl4cKF+Pj4kC9fPkaOHJns/IYNG3LmzBn8/f2pWbNmsgepn+fRo0dYWFiY3P/Jnj07jx8/JiYmhuzZs9OrVy/atm1rUidpqfFHjx6ZtPfzzz+zZMkSpk+fblwyPomNjQ0eHh7J7hsXK1bMuBKLvL2S76D9L0hISGDo0KGsWLHCpHz37t0AlCpVihw5cuDk5GTy86JLtjxL0myF27dvm/T1999/M3PmzGcuM5SS9957DwcHBwICAoiNjX1utvGvv/7ir7/+Mr7+/fffOXv2LO+9916q51StWhWA9evXm5Qnva5cubKx7OeffzaZBfL999/z+PHjFNtPT7vPc+jQIRo3bkz16tWN4xYVFQX8/9P8T8+IsLW1pVy5cvz1118mY1G0aFFmzJjBL7/8kmJfp0+f5tatW3Tu3JkSJUoY203qz2Aw8OjRIxo1asT8+fMBeOedd+jYsSMffPABf//9d4rt2tjYUKZMGb7//nuT8m3bthmn2x06dAhXV1fq169vTCb89ttv3Lhx45mzMpI8ePCAgwcPGl9fuXKFQ4cOGZeHqlq1Kjt27DAuBwWJS0Pt2LEjXeORkn8aexIXFxcyZ87Mpk2bTMqTlilLTUZ+96pVq8apU6coX768sZ1y5coxd+5c4+cgJQUKFKBgwYIms86AFJepSs93O2kptqT3pFixYvTo0YMaNWoYP29pGdukhNyTn9FTp049N9EEid/XH3/80WTJs59//hkvLy/OnDlD1apVuXTpEnnz5jV5/7dv387ixYuN/+EQERERERERkddD0h7LST+PHj3i1KlT+Pn5ERMTY7KvhoODAyNHjuTw4cO0a9eO06dPM2PGjBRXNjE3N8ff358HDx4wduzYdMf10UcfER8fz9SpU7l16xa//fYbCxYswM3NzfhAaN68eY1LgN+/f589e/Ywffp03n33XZOVOR48eICfnx9eXl6ULl06WV+urq6MHTvW5MHjx48fs2vXrmeu8CFvh1cyMyRnzpx06NCBuXPnkjlzZpycnDh06BBz5syhbdu2FCtW7F+LpUyZMjRr1oxhw4Zx/vx5ypYty59//sn06dMpX768camltDIzM6NVq1aEhITQuHFj7O3tn1k/ISGB3r17M3DgQOLi4ggMDKREiRLJpqM9qVSpUjRv3pzp06fz4MEDXFxcOHz4MLNnz6Z58+aUKFHCWDcmJoaePXvi5eVlXGuvZs2aKSZD0tPu8zg7O7Nu3TrKli1Lvnz5+Pnnn5k7dy5mZmbGm9y2traYmZnx008/Ubx4cSpWrMiAAQPo1asXQ4cOpWnTpsTGxhIeHs4ff/yRbI+YJEWLFsXW1pawsDDMzMwwNzdn8+bNfPPNN0DiP6DW1tY4OzsTEhKCpaUlpUuX5syZM6xevZpGjRqleh3e3t707duXwYMH06JFC6KjowkMDKRly5a88847ODs7s2nTJlasWEHRokX5/fffmTVrlsl1PoulpSVDhgxh8ODBWFlZMXPmTOzs7IwzHPr27cvHH39M586d6d69OwDz5s3j/v37yTLf6fVPY09iY2NDnz59mDFjBpkzZ6ZatWrs3LnzucmQjPzuJb1PvXv35uOPP8bCwoIlS5awZ88e2rdvn+p5ZmZm9O/fnyFDhpArVy7q1atnfLoATBN26flu58+fHwcHB8aPH8+9e/dwdHTkt99+Y9euXcZxS8vYVq9encyZMxMQEMCAAQOIiYlh5syZaZoV1KdPH9q1a0evXr345JNPuH//PtOmTaNatWq8++67lC1bliVLltClSxe8vLzIly8fO3fuJCIign79+qW45KCIiIiIiIiI/Hft3bs32XLYZmZmlC5dmqCgIOrVq2dyrGXLlnz33Xfs3LmTPn36pLiMfJLixYvTr18/AgMD2bp1Kw0bNkxzXKVKleKzzz5j/PjxzJs3D0i8LzR16tQU69esWZP79++TPXv2ZDNVAgMDyZo1K15eXkRHR6ep/ylTpvDXX38RGhqa5pjlzfTK9gzx8/OjQIECrFq1iuDgYPLnz4+3tzfdunX712OZOHEis2fPZsmSJVy+fJncuXPTpk0bvL29X6i9unXrEhIS8szNlZMUKlSIDh06MGbMGGJjY6lbty7Dhg177iyYCRMmULhwYSIjI5k9ezbvvPMO/fv3N95UTVKtWjVcXFz4/PPPsbCwoFmzZsk2i36Rdp9n4sSJjBs3zpgtLlKkCGPGjGHdunXGKWlZs2alS5cuLF++nKioKHbv3o2bmxvz5s0jJCSE/v37Y21tjZOTE4sWLTJu3v40Ozs7wsLCmDx5Mt7e3tjY2Bhv9Pbo0YNDhw7h5ubGmDFjyJEjB/Pnz+fq1avkypWLNm3aMHDgwFSvo379+oSFhRESEkKfPn3IlSsXH3/8sXHj9aFDh/L48WOmTZtGbGwsBQsWpHfv3vzvf/9j165dz51hkTNnTgYMGMCUKVO4fv06VatWJSgoyDjdsHTp0ixdupRp06YxZMgQzM3NqVKlCitWrEgx+50e/zT2J3l5eZE1a1YWLlxIREQELi4uDBkyhC+++OKZ52XUd69MmTIsXbqUGTNmMHjwYMzMzChTpgxz586lRo0azzy3ZcuWxMTEMH/+fJYvX46TkxODBw9mwoQJyZ6GSM93Ozg4mKlTpxIUFMTNmzcpUKAA/fv3p0ePHkDaxjZbtmwEBwcTGBhI3759cXBwoF+/fqxZs+a5/VeoUIGFCxcyffp0BgwYQLZs2XB3d+ezzz7D3NwcGxsbli5dSmBgIBMnTiQmJoZChQoxcuRIPvnkk+e2LyIiIiIiIiL/Lc7OzowaNQqAy5cvExQURFxcHNOnT0/x4fPLly9z5MgRIHFfjx49eqQ4MyRJ165d2bRpE2PGjKFatWrJjsfHx5vsQ2tmZkamTJmYO3cugYGBfPrpp9SvX5/o6GiCg4Pp3r07CxcuNNnvOSEhgeDgYGJjY5k7dy6ffPIJy5cvp1SpUuzbt48VK1awcuVKLCyef1vbYDAwZcoUFi5cSLdu3WjQoMFzz5E3m5khtd2s5YWFhISwcuVKduzYkWwpqCcNHTqUQ4cOsXXr1pcSh6enJ5kyZWLBggUvpX2RN8H69etxcnKicOHCxrKlS5cyfvx49u3bZ9xLB9L+3X6bGQwGrl1L/wbw8nrQJq1vB43zm09j/HbQOL8dNM5vPo3x20HjnLHy5LF7ofN+u3qHUVHHMziatBtbpxwV8mR7fsVUpHQf8Nq1azRv3hwrKysiIyNN9hBOSEigU6dO/O9//2PEiBH4+PjQpk0b/P39Tdp1d3fH1dXVWP7777/Tpk0bPvjgAwYNGoSbmxsTJkygdevWeHp6sn//fuO51apVIyIigipVqtC4cWMmTpxoPHb69GmaNm3KiBEjUn0o8+7du7i7u9O4cWOGDh3Khx9+SMuWLY0raly6dImGDRsyadIkPvzwQzJlymQ8NzY2lqFDh7Jhwwa6deuGr6/vC7+38uZ4ZTND3kSRkZH88ccfLF261Pj0tYj8t61evZrg4GAGDBhAnjx5+PPPPwkKCqJFixbGRIi+2yIiIiIiIiLyusmdOzejRo1iwIAB+Pv7ExgYaDwWFhbG/v37CQ0NpUGDBhw4cIBly5ZRr169Z86gKFOmDD169CAsLCzZfrZjxowhJibG+NrGxoYbN27w4MED3n33XZO6xYoVI1euXPz5559A4t6/VlZWJkv729nZUahQIa5cucJvv/3GxYsXCQ0NTbbc1ZAhQ5g5c6Zx39979+7h5eXFzz//zLBhw+jUqVM63zl5UykZkoF+//13vv76a5o2baplZkReE5MnT2bq1KkEBARw69Yt8ufPj6enJ7169TLW0XdbRERERERERF5HjRs3pnbt2qxfvx4PDw+qVavGwYMHCQsLw8PDw5j4GDJkCD/99BMjRoygYsWK5MmTJ9U2e/fuzdatW5k0aZJJeUpLccXHx2Nvb8+hQ4f4+OOPjeXnzp3j+vXrODg4APDVV19x+vRpNmzYgKWlJQDR0dGcOnWKmjVrUr58eVatWmXS9tWrV+nduzfe3t7G64iPj6d379788ssvTJ8+ncaNG7/AuyZvKi2TJSIiGUbLZL3ZNH3/7aBxfvNpjN8OGue3g8b5zacxfjtonDPWiy6TFRMbx5nb9zM4mrQrap8VG6sXf279Wcvlnz59mubNm1OsWDEWLlxIq1atyJw5M6tXrzbZr+OXX36hQ4cOuLq6Eh4ejpmZWbJlspIcPXqUdu3aER8fb1wmKzULFy4kICAAT09P6tevz5UrVwgNDeXhw4esW7eO7Nmzc/jwYTw9PalduzYdOnTg1q1bhIaGcv/+fVavXm3cX/dJFy5coH79+kyePJkWLVoAiUufjx07Fg8Pj2QxmZmZUbFixfS8rfKG0cwQEREREREREREReavZWFn8oz07/suKFSuGp6cn8+fPp1GjRty/f5/ly5ebJEIAKlasiJeXF6GhoSxZsgRPT89U23R2dqZTp07Mnz//uf136tSJbNmyMX/+fJYvX07u3LlxdXXFx8eH7NmzA+Di4sKCBQuYMWMGAwYMwMLCglq1avH555+nmAhJzebNmwFYsWIFK1asMDmWKVMmjh9/dfvCyKunmSEiIpJhNDPkzaYn1t4OGuc3n8b47aBxfjtonN98GuO3g8Y5Y73ozBARefNpF2AREREREREREREREXmjKRkiIiIiIiIiIiIiIiJvNCVDRERERERERERERETkjaZkiIiIiIiIiIiIiIiIvNGUDBERERERERERERERkTeakiEiIiIiIiIiIiIiIvJGUzJERERERERERERERETeaEqGiIiIiIiIiIiIiIjIG03JEBEREREREREREREReaMpGSIiIiIiIiIiIiIiIm80i1cdgIiIiIiIiIiIiMirdD82gYu3Y19Z/w72VmS1evHn1j09Pdm/f79JmZmZGVmzZqVIkSJ06tSJFi1acOLECdq2bUudOnUICwtL1o6fnx+bN29mzZo1ODo64u7uzp07d9iwYQP58uUzqRsdHY2bmxsTJkygdevWz4xv3759TJ8+nZMnT5IzZ06aNWtG3759sbKyMtY5evQoU6ZM4dixY2TJkoUmTZowcOBAbG1tU2zzt99+w8PDg4CAAFq0aGEsj4mJYerUqWzZsoX79+9TpUoVhg8fTpEiRZ73NsobTskQEREREREREREReatdvB1L8I9XX1n//WvloWSezP+oDScnJ0aMGGF8HR8fT3R0NAsWLMDX15fs2bPj5uaGt7c3gYGBrFy5krZt2xrrr1mzhsjISKZOnYqjo6Ox/O7du4wePZrZs2e/UFwnT56kW7duuLq6EhwczF9//UVgYCB37txh9OjR/9fencfXdLX9H//kJEIkkZjVLFQQiTmmSAhuQ03VqqmpuTFTYoixUTEmgkiEqKEoSkmr1NCJ1lg631r6iJpacxOZDEnO7w9Pzq+niTmew/F9v17ndcvaa6917b31xr7OWhcA8fHx9O7dm1q1arFgwQKuXLlCWFgYp0+fJjY2NtuYt27dYvz48aSnp2c79tZbb/Hzzz8zduxYHB0dWbRoEW+88Qbbtm3D2dn5ka5BrIOSISIiIiIiIiIiIiLPOCcnJ2rWrJmt3dfXl4YNG7J582b8/Pzo378/e/fuZcaMGdSvX5+yZcty8uRJQkJC6Ny5M+3btzc739nZmS+//JKPP/6YDh06PHRc27ZtI0+ePCxcuBAHBwd8fHy4evUqsbGxTJgwgTx58rBmzRry5ctHVFQU+fLdSQoZjUaCg4M5c+aMWXIGYP78+SQlJWWb68iRI+zZs4fY2Fh8fX0BqFu3Ls2bN2fdunW8+eabDx2/WA/VDBERERERERERERGxUnnz5sXe3h4bGxsADAYDs2fPxmAwMHbsWG7evMmoUaMoXrw4kydPznZ+y5YtqVWrFqGhoVy9evWh57958yZ2dnamJAeAq6srt2/fJiUlBYCBAwfy7rvvmvXJkyeP6fx/+u6771izZg1TpkzJNte+fftwdHSkcePGprZChQpRr1499u7d+9Cxi3VRMkRERERERERERETkGWc0GklPTzd9bt68ycmTJwkODiYlJcWsrkapUqWYPHky33//Pd26dSM+Pp758+eTP3/+bOMaDAZCQ0NJS0tj2rRpDx3XK6+8QkZGBmFhYSQkJPDLL7+wcuVK/Pz8cHV1BaBYsWJUrVoVgNTUVPbv309ERAS1a9fmxRdfNI2VlpZGcHAwgYGBuLu7Z5srPj6ecuXKYWtra9ZetmxZTp069dCxi3XRNlkiIiIiIiIiIiIiz7iDBw/i4eFh1mZjY4O7uzsLFiygWbNmZsc6derEp59+yldffcXgwYOpUqXKXceuWLEiQ4cOJTw8nN27d9OyZcsHjqty5cqMHj2a6dOns2zZMgCqVKlCWFhYjv0bN25Mamoqrq6u2VaqhIeHkz9/fgIDA7lw4UK2c5OTk3MsuO7o6EhycvIDxyzWSStD9BK3KQAAcxpJREFURERERERERERERJ5xXl5ebNq0iU2bNhEVFUXlypWpUKECERERtG7dOlv/ixcv8sMPPwB36nqkpqbec/y+ffvi4eFBSEgIiYmJ2Y5nZGSYrUzJyMgAYOnSpUybNo3XX3+dVatWMXv2bJKTk+nfvz9paWlmY2RmZhIZGcnixYupUKECr7/+OidOnADg0KFDbNiwgZkzZ2Jnl/N3/I1G413jNxj0Kvx5p98BIiIiIiIiIiIiIs84R0dHPD098fT0pEWLFqxYsYLExET69u3LtWvXzPpmZmYSFBSEwWBg3rx5nD59mtDQ0HuOb2dnx4wZM0hISGDGjBnZjvfu3RsPDw/Tp3fv3qSnpxMdHc3LL7/MxIkTadCgAZ06dSI2NpaffvqJDz/80GwMg8GAj48P/v7+xMbGYmtry+rVq0lJSSE4OJgBAwZQqVIl0tPTyczMBO4kQLISL05OTqY6JP+UkpKS44oReb5omywRERERERERERERK1OkSBGmTJnCiBEjCA0NJTw83HQsOjqaw4cPExUVRYsWLfj2229Zt24dzZo1o0WLFncds0qVKgwYMIDo6Gjq1KljdiwkJMQsEeHo6Mi1a9dIS0ujdu3aZn3d3NwoXLgwv//+OwB79+7F3t6eBg0amPo4OztTpkwZLl26xC+//ML58+eJiooiKirKbKxx48axcOFCvvjiCypUqMCBAwcwGo2mgvEAp0+fpkKFCg9x98QaaWWIiIiIiIiIiIiIiBVq3bo1TZo04ZNPPuHw4cMAHDlyhOjoaLp27WpKfIwbN47y5cszadIkLl++fM8xBw0axIsvvsjs2bPN2t3c3EwrUzw9PU0JDxcXF44ePWrW98yZM1y9epVSpUoB8P777zNlyhRu375t6nPhwgVOnjxJ5cqV8fDwMG0BlvVZvHgxAMOHDzf92sfHh+vXr7N//37TONeuXePIkSM0atToUW6hWBGtDBEREREREREREZHnWikXe4b5FLXo/E/KhAkT6NChA9OnT2fVqlUEBQVRtmxZgoODTX0cHByYM2cOPXr0IDg4mNjYWLOVFf9kb2/PjBkz6Nat233ntrW1ZciQIcyYMQNnZ2eaN2/OpUuXiIqKolixYrz22msABAYGEhAQwPDhw+nRowcJCQlERUXh4uJC7969cXJywtPT02zsc+fOAVC6dGnc3d0BqFevHt7e3owaNYqgoCBcXV2JjIzE2dmZ7t27P9L9E+uhZIiIiIiIiIiIiIg81/LbG3ixaD5Lh/FEuLm5ERAQwPLly2nVqhWpqamsX78eBwcHs341atQgMDCQqKgo1qxZQ0BAwF3H9PLyolevXixfvvy+8/fq1YsCBQqwfPly1q9fT5EiRWjYsCGjRo3C1dUVgFq1arFy5Urmz5/PiBEjsLOzw8fHhzFjxlC4cOGHut5FixYxa9Ys5syZQ2ZmJnXq1GH+/Pm4uLg81DhifWyMRqPR0kGIiIh1MBqNXLmSbOkw5AlxcbnzF+XExDQLRyJPkp6z9dMzfj7oOT8f9Jytn57x80HPOXcVLeps6RBE5CmlmiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIPNdu3crk4uVbFvvcupX5WPEHBATg7u5u9qlSpQq1a9emc+fOfPTRRwD8+uuvVK9encGDB+c4TnBwMLVr1+bMmTMA+Pv7U7duXS5evJit74ULF3B3d2fz5s33je/QoUN069aNWrVq0bx5cyIiIrh165ZZn59++omAgABq165N48aNmT59OsnJyXcd85dffsHDw8N0bVmuXbtGcHAwPj4+eHt7ExgYyB9//HHfGMX62Vk6ABERERERERERERFL+jsxnS/2Jlpsfn9fF4oXtX+sMTw9PZk0aZLp54yMDC5cuMDKlSsZO3Ysrq6u+Pn5MXz4cMLDw9m4cSNdunQx9Y+Li2Pz5s2EhYVRtmxZU3tSUhJTp04lJibmkeI6fvw4/fr1o2HDhkRGRvLHH38QHh7O9evXmTp1KgDx8fH07t2bWrVqsWDBAq5cuUJYWBinT58mNjY225i3bt1i/PjxpKenm7UbjUaGDBnCmTNnGDNmDK6urixcuJA33niDrVu34uLi8kjXINZByRARERERERERERGRZ5yTkxM1a9bM1u7r60vDhg3ZvHkzfn5+9O/fn7179zJjxgzq169P2bJlOXnyJCEhIXTu3Jn27dubne/s7MyXX37Jxx9/TIcOHR46rm3btpEnTx4WLlyIg4MDPj4+XL16ldjYWCZMmECePHlYs2YN+fLlIyoqinz58gF3EhvBwcGcOXPGLDkDMH/+fJKSkrLN9ccff/Ddd98xe/ZsOnXqBEDFihVp0aIFX3zxBS+//PJDxy/WQ9tkiYiIiIiIiIiIiFipvHnzYm9vj42NDQAGg4HZs2djMBgYO3YsN2/eZNSoURQvXpzJkydnO79ly5bUqlWL0NBQrl69+tDz37x5Ezs7O1OSA8DV1ZXbt2+TkpICwMCBA3n33XfN+uTJk8d0/j999913rFmzhilTpuQ4F4Cjo6OpLWs1SEJCwkPHLtZFyRARERERERERERGRZ5zRaCQ9Pd30uXnzJidPniQ4OJiUlBQ6duxo6luqVCkmT57M999/T7du3YiPj2f+/Pnkz58/27gGg4HQ0FDS0tKYNm3aQ8f1yiuvkJGRQVhYGAkJCfzyyy+sXLkSPz8/XF1dAShWrBhVq1YFIDU1lf379xMREUHt2rV58cUXTWOlpaURHBxMYGAg7u7u2eaqUqUK9evXJyoqipMnT3Lt2jWmT59O/vz5adGixUPHLtZF22SJiIiIiIiIiIiIPOMOHjyIh4eHWZuNjQ3u7u4sWLCAZs2amR3r1KkTn376KV999RWDBw+mSpUqdx27YsWKDB06lPDwcHbv3k3Lli0fOK7KlSszevRopk+fzrJly4A7SYuwsLAc+zdu3JjU1FRcXV2zrVQJDw8nf/78BAYGcuHChRzPf/vtt+nfvz9t27YFwN7enqioKMqUKfPAMYt10soQERERERERERERkWecl5cXmzZtYtOmTURFRVG5cmUqVKhAREQErVu3ztb/4sWL/PDDD8Cduh6pqan3HL9v3754eHgQEhJCYmL2YvMZGRlmK1MyMjIAWLp0KdOmTeP1119n1apVzJ49m+TkZPr3709aWprZGJmZmURGRrJ48WIqVKjA66+/zokTJwA4dOgQGzZsYObMmdjZ5fwd/5MnT9K1a1cKFixIVFQU7777Ls2aNWP48OEcOXLkvvdQrJuSISIiIiIiIiIiIiLPOEdHRzw9PfH09KRFixasWLGCxMRE+vbty7Vr18z6ZmZmEhQUhMFgYN68eZw+fZrQ0NB7jm9nZ8eMGTNISEhgxowZ2Y737t0bDw8P06d3796kp6cTHR3Nyy+/zMSJE2nQoAGdOnUiNjaWn376iQ8//NBsDIPBgI+PD/7+/sTGxmJra8vq1atJSUkhODiYAQMGUKlSJdLT08nMzATubA+WlXhZuXIlAMuXL6dFixb4+PiwYMECqlatmmPM8nzRNlkiIiIiIiIiIiIiVqZIkSJMmTKFESNGEBoaSnh4uOlYdHQ0hw8fJioqihYtWvDtt9+ybt06mjVrds/aGlWqVGHAgAFER0dTp04ds2MhISGmguhwJzlz7do10tLSqF27tllfNzc3ChcuzO+//w7A3r17sbe3p0GDBqY+zs7OlClThkuXLvHLL79w/vx5oqKiiIqKMhtr3LhxLFy4kC+++II///yTihUrmoqmw52twurUqcN77733EHdPrJGSISIiIiIiIiIiIiJWqHXr1jRp0oRPPvmErl274u3tzZEjR4iOjqZr166mxMe4ceM4cOAAkyZNokaNGhQtWvSuYw4aNIjdu3cze/Zss3Y3N7dsfTMyMnBxceHo0aO89tprpvYzZ85w9epVSpUqBcD7779PfHw827ZtI0+ePABcuHCBkydP0rhxYzw8PNi0aZPZ2JcvX2bQoEEMHz7cdB0VKlRgy5YtXL9+nQIFCpj6/vjjj6a55PmlZIiIiIiIiIiIiIg81wq62OHv63L/jk9w/idlwoQJdOjQgenTp7Nq1SqCgoIoW7YswcHBpj4ODg7MmTOHHj16EBwcTGxsLDY2NjmOZ29vz4wZM+jWrdt957a1tWXIkCHMmDEDZ2dnmjdvzqVLl4iKiqJYsWKmBElgYCABAQEMHz6cHj16kJCQQFRUFC4uLvTu3RsnJyc8PT3Nxj537hwApUuXxt3dHbizVdfHH39M3759efPNN8mXLx8fffQRhw8fJiIi4pHun1gPJUNERERERERERETkuWZvb6B4UXtLh/FEuLm5ERAQwPLly2nVqhWpqamsX78eBwcHs341atQgMDCQqKgo1qxZQ0BAwF3H9PLyolevXixfvvy+8/fq1YsCBQqwfPly1q9fT5EiRWjYsCGjRo3C1dUVgFq1arFy5Urmz5/PiBEjsLOzw8fHhzFjxlC4cOEHvtbSpUuzbt06wsLCCA4OxsbGhsqVK7NixQoaNWr0wOOIdbIxGo1GSwchIiLWwWg0cuVKsqXDkCfExeXOX5QTE9MsHIk8SXrO1k/P+Pmg5/x80HO2fnrGzwc959xVtKizpUMQkaeUwdIBiIiIiIiIiIiIiIiIPElKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFWzs3QAIiIiIiIiIiIiIpaUfiuTlGvpFpvfsZAddva587314cOHs3PnTkJCQujWrZvZsYCAAA4fPmzW5uzsTLVq1Rg6dCje3t7Zxvvxxx957733OHLkCH///TfFixenSZMmBAYGUrx48YeOzdnZmdDQULP23377jblz53L06FHy5s2Ln58fo0ePvu/4kZGRLFq0KFu7g4MDxYsXp3Xr1gwbNgw7OzuSk5Pp1KkTGRkZfPzxxzg7O5uds2XLFsaPH09ERARt27Zl/PjxbNmyhSVLltC0adNsc7Rs2ZI6deowa9ash7oHYjlKhoiIiIiIiIiIiMhzLeVaOr/sSrTY/NX/44JLCfvHHufvv//miy++oHLlymzYsCFbMgTA09OTSZMmAZCRkcHff//Nhg0b6NevH5s3b+bFF1809V21ahWzZ8+mUaNGjBkzhqJFi3Ly5EmWLVvGrl27WLNmDeXLl79vXEajkblz57Jz505effVVs2NnzpyhZ8+eFClShGnTpuHi4sLKlSvp3r07cXFxFChQ4J5j29ra8v7772e7D5988gkxMTGkp6czZswYnJycmDNnDq+//johISGEhYWZ+p88eZJp06bx2muv0bZtW7Oxpk6dyrZt23BycrrvdcrTTdtkiYiIiIiIiIiIiFiBrVu3kjdvXoKCgjh27Bg//fRTtj5OTk7UrFmTmjVrUqdOHVq0aEFkZCR2dnZs3rzZ1O/o0aPMmjWLXr16sWzZMtq1a0f9+vXp0aMH69atIz09nbfffvu+MZ08eZJ+/fqxZs0a8uXLl+34e++9R3p6OitWrKBDhw74+fkRExOD0Whk2bJlD3TdWdeT9WnWrBnh4eHUrFnT7Jpq167NgAED2Lp1K9u3bwfgxo0bjBw5kpIlSzJhwgSzcfPnz8+VK1e0+sNKKBkiIiIiIiIiIiIiYgU2b95M48aNadKkCcWKFWPDhg0PdF7evHnJly8fNjY2prZ3330XV1dXRo4cma1/8eLFGT9+PA0bNiQ9/d7bi7399tskJyezYcMGChcunO34qVOnqFy5MiVLljSLx9PTkz179jxQ/Hfj5ORkdk0AQ4cOpXr16rz99ttcunSJmTNncvr0aSIiInBwcDDrW6RIEfr27cvGjRs5cODAY8UilqdkiIiIiIiIiIiIiMgz7tdff+XXX3+lY8eOGAwGOnbsyPbt20lOTjbrZzQaSU9PJz09ndu3b3PlyhUiIiJIS0vjlVdeMfX55ptvaNiwIXnz5s1xvk6dOhEYGIid3b0rMUyePJkPPviAqlWr5nj8hRde4OLFi9mSKufOnePs2bMPdO1Z15Oens6tW7e4ePEiS5cuZd++fXTs2NGsb548eZg7dy63bt3izTffZP369QQHB1O5cuUcxx46dCgVKlRg0qRJpKamPlA88nRSMkRERERERERERETkGffhhx9SuHBh/Pz8AHj55ZdJTU3lo48+Mut38OBBPDw88PDwoHr16jRu3JglS5YwdOhQKlasCNypuXHz5k2z1RqP6m5JhiydOnXi0qVLTJw4kT///JOrV68SERHB77//Tlpa2n3Hz8jIMF2Ph4cHnp6e+Pr6sm7dOoYPH86oUaOynePm5sawYcP49ddfqVu3Lt27d7/r+Hnz5mXGjBn8+eefzJs37/4XLE8tFVAXEREREREREREReYbdunWLrVu30rp1a9PqhaJFi+Lh4cGGDRvo2bOnqa+XlxdTpkwB7qwA+fvvv9mxYwdz587F3t6eN954A1tbW+BOouFBZGZmkpmZadZ2vxUjWerWrcuMGTOYOXMmcXFx2NjY0LJlS7p3787GjRtNcRiNRtM5NjY2phhtbW1N24GlpaWxcuVKDh8+zOTJk/H3989xzoyMDD777DMAfvrpJ3777TeqVKly1xhr165Nz549Wbt2LW3atKFOnToPdG3ydFEyREREREREREREROQZ9uWXX5KQkMD69etZv359tuM//PADNWvWBMDR0RFPT0+z435+fly4cIEFCxbQs2dPXFxccHR05M8//7zrnFnbbzk5OREVFcWiRYvMjh8/fvyB4+/cuTMdO3bkzJkzODs7U6RIEYKDg3F1dQWgd+/eHD582NTf29ub1atXm37+5/XUrVuX3r17M3z4cFauXEndunWzzRcZGcn3339PREQEISEhjBkzhk2bNt11SzCAUaNG8eWXXzJx4sRsq23k2aBkiIiIiIiIiIiIiMgzbPPmzZQvX55p06aZtaenpzNw4EA2bNhgSobcTdWqVdm/fz/Xrl2jaNGi+Pj4cOjQIW7evJljkmDlypVER0fz6aef8tprr9G0adNHiv3kyZP88ssvdOzYkQoVKpjajx07RrVq1QAICQkhJSXFdMzR0fGu4xkMBmbOnMlLL73E+PHj2bZtm1n8hw4dYsmSJfTq1Yu2bdsC8NZbbxEWFsbEiRPvOm7+/PmZPn06vXv3ZuHChY90rWJZqhkiIiIiIiIiIiIi8oy6dOkSX3/9NS+99BL169c3+zRu3JhmzZqxfft2rl+/fs9xfv75Z1xcXChUqBAAffr0ISEhgQULFmTr++eff7J27Vq8vLwoV64cxYsXx9PT0+zzoE6cOMHYsWPNiqUfPHiQ3377jRYtWgB3anz8c2w3N7d7jlmqVCkGDx7M2bNniY2NNbVfu3aNoKAgXnzxRUaPHg1A27Ztad++PatXr2bfvn33HLdhw4Z06dKFFStWcOXKlQe+Rnk6KBkiIiIiIiIiIiIi8oz66KOPyMjI4KWXXsrxeKdOnbhx44Zpa6fk5GR++OEH0+fgwYNMnDiRw4cP07dvX1Mtjlq1ajFkyBDeffddBg4cyKeffsqBAwdYsWIFr732GgaDgblz5z52/H5+fpQuXZpRo0axd+9e4uLiGDFiBDVq1KBDhw6PPG7v3r0pV64csbGxnD9/HoAJEyaQmJhIWFgY9vb2pr5TpkyhRIkSjB8/nr///vue444bN44iRYqYarPIs0PbZImIiIiIiIiIiMhzzbGQHdX/42LR+R/V5s2bqVKlChUrVszxuK+vL4UKFWLDhg0ULFiQn3/+ma5du5qOOzg4UKFCBSZPnszrr79udu6wYcPw8PBg7dq1hIaGcv36dV544QVat27Nm2++SbFixR457iz58+dn2bJlhIaG8tZbb+Hg4EDbtm156623TImZR2Fvb8+ECRMIDAxk9uzZ1KlTx1Tzo3LlymZ9CxQowMyZM+nTpw9TpkwhMjLyruM6OzsTEhLCwIEDHzk2sQwbo9FotHQQIiJiHYxGI1euJFs6DHlCXFwcAEhMTLNwJPIk6TlbPz3j54Oe8/NBz9n66Rk/H/Scc1fRos6WDkFEnlLaJktERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiDxTrKXMkbVch4iIiIiIiIiIyLNAyRCxuICAANzd3enZs+dd+/To0QN3d3ciIyMfeNxz587h7u7ORx999ET6/1NkZCTVqlV76POs1erVq/Hx8cHLy4ulS5fmypi3bt1i1qxZbN26NVfGs5SLFy8SGBjI+fPnTW3+/v5MnDjxic/9OL/HRUREREREREREnmVKhshTwcbGhu+++47Lly9nO3bhwgW+++47C0QljyI1NZWZM2fi6enJu+++S4cOHXJl3GvXrrFixQrS09NzZTxLOXjwIF999ZVF5i5WrBgbNmygSZMmFplfRERERERERETEUpQMkadC9erVsbOzY9euXdmO7dixgxdffBFbW1sLRCYPKykpiYyMDFq0aEG9evUoUaKEpUOS/2Vvb0/NmjUpVKiQpUMRERERERERERH5P6VkiDwVnJyc8PHxYceOHdmObd++nTZt2mRrT0hI4J133sHf3x9PT086d+6cYzIlq6+npycLFiwwa09KSsLLy4u1a9ea2i5cuEC/fv3w8vKiefPmrFixwuycmzdvMnPmTBo3bkytWrUIDg7m5s2b2ebcvXs3nTt3xtPTEx8fH2bPns2tW7dMxyMjI2ndujWff/457du3p3r16rRq1cpsC6PNmzfj7u7OhQsXzMb+57ZKWVsf7dq1izfffJOaNWvi6+vLhg0buHTpEkOHDqVmzZr4+fmxcuXKHO/PP8XFxdGpUydq1KiBv78/CxcuJCMjw3T8hx9+oE+fPtSrV4969eoxYsQIzp07Z4rX19cXgAkTJuDu7g5ARkYGS5YsoV27dnh5eVGzZk26d+/OoUOHzObOGrt27do0bNiQsWPHcvXqVc6dO4efnx8AwcHB+Pv7m87Zs2cP3bp1o1atWjRs2JBJkybx999/Z7vPCxcupF69evj6+pKSkpLjta9atYrWrVvj6elJkyZNePvtt0lOTgZg+PDh+Pv7Z6v1MWrUKF555RXgzpZvU6ZMISYmBj8/Pzw9PenWrRs///yz6f6MHTsWgObNmzN+/HjTOLdv32bWrFk0atSImjVr0q9fP86ePWs217fffkvPnj2pUaMG9evXZ9KkSVy/ft10PDMzk4iICPz9/alevTr+/v7MmzeP27dvA9m3ybpffxEREREREREREWthZ+kARLK0adOG8ePHc/XqVQoXLgzA+fPn+emnn5g7dy6LFi0y9U1LS6NHjx5cv36dESNGUKxYMbZu3cqwYcOYPXs2nTp1Mhvb1dUVf39/tm7dyogRI0zt27dvx2g08tJLL5leei9YsIBXX32V3r1788033zBr1izS09MZMGAAAGPGjOHrr7/mrbfeoly5cmzYsCFbHYutW7cSFBREp06dGDlyJGfOnGHevHmcO3fOrO7JxYsXCQ0NZfDgwZQsWZJ3332XcePGUaNGDcqXL/9Q92/SpEn06tWLPn36sGLFCkJCQlixYgVt2rShZ8+evP/++8ycOZM6derg6emZ4xhr165l2rRpdO3alaCgIOLj45k7dy43btxg7Nix7Nu3jwEDBtC4cWNmz55NSkoKkZGRdOvWjbi4OJo2bcrixYsZNGgQgwYNomnTpgDMmTOHDz74gKCgIF588UUuXrxIVFQUI0aM4Msvv8TBwYFjx47x+uuvU7t2bebMmcOtW7cICwtj4MCBrF271mzc//znPwB8+OGHTJgwgY4dOzJ48GAuXLjAggUL+PHHH/nggw9wcHAA4OzZs+zbt4/58+dz/fp1HB0ds137J598wty5cxk3bhzu7u7Ex8cze/ZsU/LrlVdeYefOnRw5coR69eoBkJyczGeffca4cePMfk9VqlSJyZMnYzQamT17NiNGjOCzzz6jadOmDBs2jMjISBYtWmRKFmX9nmnSpAmzZ8/mypUrzJw5k9GjR/PBBx8AdxIhffr0oVGjRixYsICrV68SERHB8ePHWbduHXZ2dsTGxrJu3TrGjx9P6dKl+fHHH4mIiMDe3p6hQ4dmu+aH7f+gXFwcHvlcebrZ2d1ZoadnbN2exuecnp5JSkr2Lx6IiIiIiIiIPCglQ+Sp4e/vj62tLbt376Zbt24AfPrpp1SrVo1y5cqZ9d28eTMnT55k48aNeHl5AeDn50diYiJz586lffv22cZ/5ZVX2LFjB0ePHqVOnTrAnVUQzZo1w9XV1ZQM8fPzY9q0aQA0adKES5cusWzZMvr27Ut8fDw7d+4kJCTEFGOTJk1o3749p06dAsBoNBIWFkazZs2YPXu2af4SJUowZMgQs/lTU1NZvHgxDRo0AKB8+fI0a9aMPXv2PHQyxN/fnyFDhgDg7OzMnj178PLyMiV/qlSpwq5du/jxxx9zTIZkZmYSFRVFq1atTNfv4+PD9evX2bdvH0ajkXnz5lGxYkWWLFmCwXBnYVmdOnVo1aqVKZGTVUi+bNmy1KxZE4BLly4xatQoevbsaZovb968DBs2jN9//x0vLy9iYmIoXLgwy5Ytw97eHriTxJoyZQp//fWX2bjVqlUjMzOTefPm0bRpU+bMmWMa193dnddee43Nmzeb5ktPTyc4ONgUT04OHz5M6dKl6dmzJwaDAW9vb/Lnz09iYqLpXhQvXpyPPvrIlAz59NNPTcm0LBkZGSxbtgwnJycAUlJSGDduHCdOnKBKlSqUKVMGgKpVq1K6dGnTeS+88AJRUVHkyZMHgNOnT7N48WLS0tJwcHAgPDycihUrEhMTY7r31apV4+WXX2b79u106NCBw4cPU716dTp37gyAt7c3Dg4OODs73/WaH6b/gzqeePWxzhcR+acKLgWxt9NiZhEREREREXk8SobIU8PJyYkmTZqwY8cOU6Jh+/bttG3bNlvfb7/9lnLlypkSIVnat2/P3r17iY+PN60KyOLj40OJEiX4+OOPqVOnDmfOnOG7775jyZIlZv1at25t9nPz5s3Zvn07J0+e5OjRo6a2LAaDgVatWhETEwNAfHw8Fy5cYMiQIWbFvps0aUKePHnYv3+/KRkCULt2bdOvs+prpKWl3eduZffPe1GkSBEAatSoYWorWLAggNm2Sv906tQprl69alp1kWXo0KEMHTqU1NRU/vvf/zJixAjTy3iAkiVLUrduXQ4fPnzX2CIiIoA7RdDj4+M5ffo0X375JYBpS6ajR4/SvHlzUyIEoFGjRnz22WcA2bYKO3XqFFeuXDFLRGRdc7ly5Th06JBZ8qVq1ap3jQ+gQYMGbNiwgc6dO9OiRQv8/Pxo3749NjY2ANja2tKpUyfWrVvHlClTsLe3Z8uWLaZkWhZ3d3dTIgSgePHiwJ3E173UrFnTlAgBTImSrOf1448/8uabb5KZmUlmZiYAL774IiVLlmT//v106NCB+vXrEx4eTo8ePfD396dp06a8/vrrd53zYfs/iEyjkeA9nz3WGCIi/zTTrwXuLoUtHYaIiIiIWLnMm5ncupx+/45PiH1ROwx59SUgkSdJyRB5qmRtlXXt2jWSk5M5duyY2fZYWRITE00v/P8pqy0pKSlbMsRgMNCpUyfWr1/PxIkTiYuLo2jRojRp0iTHMbJkbdmVlJRkWiXw7wLURYsWNf06ISEBgMmTJzN58uRsMV66dMn0a1tbW7OX/1lJhqyX3Q8jp62f/n0P7iUr7qzr/bekpCSMRmOO971w4cL8+eefdx37559/JiQkhJ9//hkHBwcqVapEyZIlAUw1OBISEh6qsHdWvP+89/+MJ2ulD9y5z3nz5r3neG3btiUzM5P333+f6OhoIiMjKVWqFEFBQaaEXOfOnVmyZAlffPEFHh4eOSbT8uXLZ/bzgz7TnH6/wp37c/36dTIzM4mJiTEl3f4p6/dU//79cXR05MMPPyQsLIy5c+fy4osvMmnSJNPqo3962P4iIiIiIiIi1urW5XQubLpmsflLvFqIfKXt798xBwEBAdm+pGpjY0P+/PkpX748vXr1omPHjgD8+uuvdOnSBV9fX6Kjo7ONFRwczM6dO4mLi6Ns2bL4+/tz/fp1tm3bZvrCZ5YLFy7g5+fHzJkzTbtOpKens2jRIrZs2UJCQgIeHh6MHz8+2xea7+ezzz5jyJAhrF27lrp165ras7YW/+abb0hPT8fPz4/g4GCz90OXL19mwYIF7Nu3j4SEBCpUqMCAAQPMahLfunWL5cuXExcXx4ULFyhRogQdOnSgf//+Zu/q7qZfv360b98+21b91iYxMZGXX36ZVatWmXY7eZYpGSJPlWbNmmFra8vnn3/OtWvXqFmzpuml+T8VKFCAX3/9NVt71kvhrFUQ/9a5c2diYmI4cOAAn376KR06dMDW1tasT1bCI8vly5eBOy/Ys8a9cuWK2R8AWS/mAdMWQ8HBwWYrQLLcLbacZK1K+GcBc+CuBcAfR1bc166Z/8F/5coV01ZWNjY2XLlyJdu5ly9fvut1JScn079/f6pWrcq2bdtwc3PDYDCwZ88edu7caern5OSUbe7MzEz27t2b47ZeLi4uprlziuefq2IeVLt27WjXrh1JSUl88803xMbGMmbMGOrVq0fRokUpX748derU4dNPP+XMmTMUKVIEHx+fh57nYTk6OmJjY0Pfvn3N/uD+53G4k0Dp2bMnPXv25OrVq+zZs4eYmBiGDx/Ovn37sp13v/7/XKnyoAw2Nqzv0OXhL1JEnio30m/zV0ry/Tv+H6jg8uB/boqIiIiIPK88PT2ZNGmS6eeMjAwuXLjAypUrGTt2LK6urvj5+VG1alWGDx9OeHg4GzdupEuX//9v+Li4ODZv3kxYWBhly5Y1tSclJTF16tQcv6D5b6GhoWzZsoWgoCBKlizJihUr6N27Nx999NEDv0z/+++/mTp1arb29PR0+vXrR2pqKm+//Tbp6emEh4fTv39/PvzwQ+zs7Lh16xb9+/cnKSmJ4cOHU6xYMXbu3MnIkSPJyMigXbt2AEyfPp2PP/6YwYMH4+npyc8//0xUVBQXLlwwbR9/Nx988AHXr183JZismYuLC3379mXChAm89957pneVzyolQ+SpkrVV1s6dO7l27dpds6ve3t7s2LGDn376ySyzvG3bNooWLUq5cuVyXKlQrlw56tWrx7Jly4iPjzcrZp7l66+/Ntuaa8eOHRQvXpxy5cqZ/oPfsWMHvXr1MvXJ2vIJoGLFihQqVIjz58/Tu3dvU/u5c+eYOHEiffv2NasVcb/7AfDXX39RqlQpAE6ePGmWfMktbm5uuLq68sUXX5htPbVhwwaWLVvGwYMH8fDwYPv27QQGBppWLvz111989913BAQE5DhufHw8CQkJ9O7dm0qVKpna9+7dC/z/lSF16tThm2++4fbt26aX8N999x2BgYGsXbvW7A/hrHiLFCnCtm3b6NChg6n9p59+4uzZs/Tp0+ehrn/06NHcuHGDqKgonJ2dadOmDXny5GHIkCFcuXLF9A2DV155henTp3P27Nkck2n387D94c7vg2rVqvHHH3+YJYaSk5MZMWIE7dq1w83NjR49elCtWjUmTZpE4cKF6dy5M0lJScyYMSPHrdfu1/9RkiEApxKTHuk8EXk6VHApQGGH/BSwu/eKuv9L6ekPv2JSREREROR54uTklGOtVF9fXxo2bMjmzZvx8/MD7uwUsXfvXmbMmEH9+vUpW7YsJ0+eJCQkhM6dO2erxevs7MyXX37Jxx9/bPYO5t/OnTvHhg0bmDx5Mt27dwfubFvfqlUrli1bRkhIyANdS0hICHZ22V9bb9u2jd9++43t27dTsWJF4M626O3atWPXrl20bduWvXv38ttvv5nVGW7cuDF//vknsbGxtGvXjsTERD744AOCgoLo378/AA0bNgQgPDyc0aNHm76E+29paWnMmzeP6dOnP/OJgQf12muvERUVxe7du7Ntr/+sUTJEnjpZW2VlZmZmq9+R5eWXX2b16tUMHjyYESNGULx4cT755BP27t3L9OnTzWpa/Fvnzp0JDg7G09PT7OV8lk8//ZQSJUrg7e3Nzp07+fzzz5k1axY2NjaUK1eOrl27Eh4ezq1bt6hSpQpxcXEcP37cdL6trS0jR44kJCQEg8GAr68vCQkJREZGkpSUZCoE/iDq169Pvnz5mDFjBiNGjCAlJYWFCxea1ajILXZ2dgwdOpTQ0FAKFiyIv78/J06cYOnSpfTr14+8efPy1ltvMWDAAAYOHEj37t1JSUkhMjISJycns8TPP1WoUAEnJyeio6OxsbHBYDCwc+dOPvzwQ+D/19IYPHgw3bp1Y+DAgbz++uukpqYyb948vL29qV27Njdu3MDGxoYDBw5QsWJFatSowciRI5k0aRJjx46lXbt2XLx4kQULFlChQgVefvnlh7r+Bg0aMGnSJGbPno2vry/Xr19n0aJFVKhQgcqVK5v6tW7dmunTp/Pf//7XrHD7g8pagbN79258fX1Nf3jfz4gRIxg4cCDjx4+nbdu23Lp1i9jYWE6cOMG4ceOAO0nC2NhYihQpQq1atbh48SIrVqygYcOGFChQIFu9mPv1fxSZRiMT9xx4pHNF5OkQ6tcQj8KFSEx8+PpVIiIiIiLydMmbNy/29vZmL+4NBgOzZ8+mQ4cOjB07llWrVjFq1CiKFy+e45bvLVu25NSpU4SGhtK4ceO7brF+8OBBMjIyaNWqlanN3t6epk2b8tVXXz1QvNu3b2f//v1MmTKF0aNHmx3bt28flSpVMnuXkvXznj17aNu2LY6OjnTt2jXbLiNubm6mWsDJycl0794df3//bH0Azp49e9dkyIcffkhGRga+vr6mtvHjx3Pp0iVKlSrFJ598QtmyZYmLi8NoNLJ06VI2bdrEhQsXKF26NP369TOtxlm0aBFLlizhwIEDZvVno6OjWbp0Kfv27cPR0ZHjx48TFhbGkSNHMBgM+Pj4EBwcbKo9fOjQId544w2mTZvG4sWLSUpKIiYmhooVKxIaGsrBgwdJSkqiQoUK9OnTx+zL5+fPn2fu3Lns27eP27dvU6dOHYKDg83emdrb2/Of//yHJUuWKBkiktuytsqqVasWxYoVy7FP/vz5WbNmDeHh4YSFhZGWlkblypWJjIy873+UTZs2BTDtZfhvwcHBfPLJJyxbtowXXniB2bNnm/2fxNSpUylSpAirV68mMTGRJk2aMHDgQLNVJl27dsXJyYlly5bx/vvv4+TkRL169Rg1alSONS7upkCBAkRGRhIeHs6QIUMoVaoUQ4cOJS4u7oHHeBgBAQE4ODiwfPly1q9fT8mSJRk+fLhplYWPjw/vvvsuCxcuZMSIETg4ONCoUSOCgoLu+qycnZ2Jjo5mzpw5DB8+HEdHR6pWrcqaNWsYMGAAR48exc/Pj+rVq7Nq1SoiIiIYMWIEBQoUwN/fn9GjR2MwGMifPz99+vRh/fr17N27l3379tGlSxfy589PbGwsgwcPxsXFhebNm/PWW2+RP3/+h7r2Ll26cPPmTdatW8f7779Pvnz5aNiwIWPHjjVbzeHo6Ii3tzfXrl3LMZl2P97e3jRu3Jjw8HAOHTr0QEtMAfz8/Fi2bBmLFi1i2LBh5M2bF09PT9577z1TsmbYsGHY2dnx4Ycfmla4NG/ePNtfHrI8bH8REREREREReToZjUbS0/9/AfiMjAzOnTtHdHQ0KSkp2bZ0KlWqFJMnT2bcuHF069aN+Ph4Nm7cmOP7FIPBQGhoKC+//DLTpk1jwYIFOcYQHx+Pi4tLtpqwWTu43LhxI1ut1X+6cuUKISEhTJgwIcf3Z/Hx8VSoUCFbe9myZTl16hRwZ4VH1iqPLLdv32bPnj28+OKLpmvPaRuuzz//nDx58lCuXLm7xrh161aaNWuWra7IoUOHaNKkCdHR0aYv9E6dOpXNmzczaNAgatSowb59+5g8eTI3btwgICCAjh07EhkZye7du82+1Lt9+3aaN2+Oo6Mjp06donv37lSqVIm5c+dy69YtIiMj6dmzJ3FxcaYv3QJERUUxadIkUlJSqFGjBoMGDeLq1auEhITg5OTERx99xLhx43jhhReoX78+165do3v37uTPn5+3336bvHnzsmzZMnr06MGWLVtMu9TAnS8Hr1+/nj/++IPy5cvf9f487WyMWXvUiDwn4uLimDp1Kt98843Z/2GIPIiUlBR8fX0ZN24cr732mqXDeeoYjUZSbqffv6OIPLUc7Gwx2Nhw5crTUTNEcp+LiwOAVv9YOT3n54Oes/XTM34+6DnnrqJFH+1dz41zt6yqgDrcqUXr7u7OoEGD7rr7SmBgIF999ZVp95V/8/f3p2HDhoSGhrJ06VLCw8NZtGgRLVu2zFZAfcqUKXzzzTd88cUXZmNs3LiRSZMmsX///ruuKgEYNGgQRqORmJgY02qHfxZQb9WqFbVq1WLWrFlm5wUFBXHs2DG2b9+e47gzZsxg1apVREVF0aJFixz77N69m2HDhvHGG28wYcKEHPskJyfj7e3NhAkTeP31103t48ePZ8uWLXz99demLwufOnWKNm3aMHbsWPr27WsWy+bNm/n6669xcHCge/fuODo6smzZMgCOHz9Ohw4diI2NxdfXl9GjR3Po0CF27txpqhl7+fJlWrRowcCBAxk0aJDpXo0ePZo333zTNJenpydDhgxh4MCBwJ3avHPnzqVly5bUrl2biIgIVq5cyc6dO02rTG7cuEHLli3x8/Nj+vTpprGSkpKoW7cu06ZNo2vXrjnen2eBVobIc2P37t38/PPPrFu3ji5duigRIg/l3LlzxMXFmf6w+vf+mfL//aG/wIs80yq45Cd/noevbyQiIiIiIpbj5eXFlClTAEzbiKenpxMREWHa/unfLl68yA8//ADcqccxYMCAe+600bdvX3bs2EFISAje3t7Zjt/vO/c2NjZkZmaSmZlp1mZra8uWLVs4evQon3zyyf0uNUc5bZlvNBqZO3cuq1atol+/fndNhOzatYvRo0dTp06de+6W8ddff5GRkZFjLeAiRYqY7Zpy8OBBjEYjzZo1M1ux4+/vz6pVq/jpp5+oX78+HTt25J133uHvv/+mYMGCbN++nSJFitC4cWPTOA0bNiRv3rymcQoWLIiXlxf79+9n0KBBprGrVKliFlP9+vWJjIzk2LFjNGnSBD8/P9NW6wAHDhzAw8ODIkWKmMa2s7OjcePG7N+/32wsZ2dnChQowPnz5+96f54FSobIc+P8+fOsWrUKb29vRo4caelw5BljMBhYvXo1jo6OhIeH4+DgYOmQnkqZRpiy95ilwxCRxzDNtxrVCusLAyIiIiIizxJHR0dTnQxPT09q1qxJhw4d6Nu3L5s3b862dVVmZiZBQUEYDAbmzZvHqFGjCA0NJTQ09K5z2NnZMWPGDF599VVmzJjBW2+9ZXbcycmJlJSUbOclJyebjk+YMIEtW7aYjpUqVYr333+f0NBQxo8fT6FChUhPTzclTDIzM8nIyMDW1vae4/+z5gbArVu3GD9+PNu2baNfv36MHTs2x2tauXIls2fPxtvbm6ioKPLmzXvX609KSgLI8Z3Qv5NICQkJAHddkXPp0iXgTu3k6dOns3PnTrp168a2bdt46aWXTFu2JyQksHXrVrZu3ZptjH9vV/XvGCIiIoiJieHTTz9l586dGAwGGjVqxLRp0yhVqhQJCQmcPn0aDw+PbGPnyZMnW5uDg4PpHjyrlAyR50bv3r3vWuRb5H5KlizJoUOHLB2GiIiIiIiIiMh9FSlShClTpjBixAhCQ0MJDw83Ox4dHc3hw4dNW0d9++23rFu3jmbNmt11BQXcWX0wYMAAoqOjqVOnjtkxNzc3EhISSExMNCtAfvr0aUqXLo29vT1Dhw6lZ8+epmP29vbs37+fpKQkJk6cyMSJE83GDAgIwNvbm9WrV1OhQgVOnDiRLaYzZ85Qo0YN08/JyckEBgby3XffMWHCBHr16pXjtWRtn9WuXTtmzpyZrQ7IvxUsWBDggRICWTvSrFmzJsc6KVmrS1xcXGjWrBk7duygWrVqnD17lg4dOpj6OTk54evryxtvvJFtjPvF6+zszJgxYxgzZgzx8fF8/vnnREdH88477xATE4OTkxMNGjQgKCjovtcDcP36ddM9eFYpGSIiIrnGYAOr29e1dBgi8hjy2dliY2PpKERERERE5HG1bt2aJk2a8Mknn9C1a1fT1lZHjhwhOjqarl27mhIf48aN48CBA0yaNIkaNWrkWMA8y6BBg9i9ezezZ882a2/UqBEAO3fuNNVZvXXrFl999RVNmjQB7iQB/r3NVLFixdi0aZNZ23//+1+mTp3K9OnTTUkXHx8ftm3bRnx8vGnrr//5n//h5MmTpu2iMjIyGDRoED/++CMRERF3XZkxf/58Vq1aRZ8+fRg3bhw2D/CPoOLFi2Nra8uFCxfu2zerzkliYiL16tUzte/atYuNGzcSEhJiSix07NiRkSNHsmnTJipWrEj16tVN/b29vTl58iQeHh6mrcAyMjIYOXIkXl5euLu75zj/hQsX6Nq1K8HBwbRu3Ro3Nzfc3Nz44YcfOHfunGns7du3U7FiRbNVJZMnTzZbaZR1HWlpabzwwgv3vfanmZIhIiKSq/5MVAF1kWdZKRcDDnmUDRERERGR54t9UTtKvFro/h2f4PxPwoQJE+jQoQPTp09ny5YtJCcnExQURNmyZQkODjb1c3BwYM6cOfTo0YPg4GBiY2PvmiCwt7dnxowZdOvWzay9VKlSvPzyy0yfPp3U1FTKlSvHihUruH79Ov37979rjAULFsy24iA1NRWAChUqmBIfbdu2JSYmhv79+zNq1CgAwsPDqVy5Mm3atAFg/fr1HD58mK5du1KiRAlTTRS4U5+kRo0aHD9+nCVLluDp6Unr1q358ccfzeauVKlStm234M42VLVr1+bo0aNmBdRzUqVKFdq1a8eECRM4e/YsVatW5ffffyciIgIPDw9Klixp6uvr64ujoyObNm1i+PDhZuMMGTKE1157jUGDBvHaa69hZ2fHmjVr2L9/P927d7/r/CVKlKBUqVJMnz6d5ORkypYtyy+//MKePXsYPHgwAH369CEuLo6+ffvSu3dvChQoQFxcHB999BEzZ840G++7774D7iSknmVKhoiISK7JNELkN5ctHYaIPIZhPkWpWPju++SKiIiIiFgjQ14D+Urfe9uhZ5GbmxsBAQEsX76cdevWcfDgQa5cucL69euz1b6oUaMGgYGBREVFsWbNGgICAu46rpeXF7169WL58uVm7dOmTaNAgQIsXbqU1NRUPDw8WLFiBeXKlXvsa7G3t2fFihWEhoYyefJk7O3tady4MePHj8fO7s5r7p07dwKwYcMGNmzYYHa+ra0tx44dY/fu3WRmZvLzzz/TtWvXbPOsXbvWtLLj31q1akVUVBS3bt267zZVs2bNIiYmhjVr1nDx4kWKFCnCq6++mi3hYW9vT5s2bVi/fj3t27c3O1alShXWrl3L/PnzCQoKwsbGhipVqrB06VLTSpy7iYyMJCwsjAULFvD333/zwgsvMGzYMAYMGADcWemyfv165s2bx+TJk7l9+zZubm7MmzePl156yWysvXv34uXl9cyvDLExGo1GSwchIiLWISPTyFsfnbN0GCLyGLKSIVevJls6FHlCXFzu/KM3MTHNwpHIk6Tn/HzQc7Z+esbPBz3n3FW0qLOlQxArlpqaSvPmzZk8eTJt27a1dDj/J9LS0mjSpAmzZs26Zz2ZZ4FWhoiISK4x2MCsl0pZOgwReQx57WxUM0RERERERCQH+fPnZ+jQoSxbtow2bdo8UK2RZ92GDRuoVKkSzZs3t3Qoj03JEBERyVVJqhki8kyzc7HDoJohIiIiIiIiOerRowe7d+8mLi6Ol19+2dLhPFEJCQmsXLmSVatWWUXiR8kQERHJNUYjfLE30dJhiMhj8Pd1oWjhPJYOQ0RERERE5KlkY2PDypUrLR3G/wlXV1e++uorS4eRawyWDkBERERERERERERERORJ0soQERHJNTY28Er7wpYOQ0Qeg51qhoiIiIiIiIgVUjJERERyVdo11QwReZY5FrLDVjVDRERERERExMooGSIiIrnHCL/sUs0QkWdZ9f+44FxMNUNERERERETEuqhmiIiIiIiIiIiIiIiIWDWtDBERkdxjc+db5SLy7HIspL8eioiIiIiIiPXRv3ZFRCRXORTSokNrZWdnC0B6eoaFI5EnyWBng9FotHQYIiIiIiIiIrlKyRAREclViYlplg5BnhAXFwdAz9jaZT1nEREREZHnSeaNDNIvW+7fOnZFHTDks33k8wMCAjh8+LBZm42NDfnz56d8+fL06tWLjh078uuvv9KlSxd8fX2Jjo7ONk5wcDA7d+4kLi6OsmXL4u/vz/Xr19m2bRvFixc363vhwgX8/PyYOXMmnTt3fqA4U1JS6NChA8OHD6djx45mx/773/8yf/58fv75Z4xGI9WrVycoKIiqVauanR8WFsauXbtITU2lbt26TJw4kfLly5v6nD9/ntmzZ7N//34AvL29GT16NBUrVjT1uXXrFtHR0Xz88cdcvXqVKlWqMGzYMHx8fB7oOuTZpGSIiIiIiIiIiIiIPNfSL6fx96Z4i81f8FU37Ms4PdYYnp6eTJo0yfRzRkYGFy5cYOXKlYwdOxZXV1f8/PwYPnw44eHhbNy4kS5dupj6x8XFsXnzZsLCwihbtqypPSkpialTpxITE/NY8SUnJzN48GDOnTuX7djp06d5/fXXqV69OqGhodjY2LB8+XJ69OhBXFwc5cqVA+Ctt97i559/ZuzYsTg6OrJo0SLeeOMNtm3bhrOzM4mJifTo0YOMjAzGjh3LCy+8QFxcHN27d+fDDz+kTJkyALzzzjt88sknjB49Gjc3N+Li4ggMDGTNmjXUqlXrsa5Tnl5KhoiIiIiIiIiIiIg845ycnKhZs2a2dl9fXxo2bMjmzZvx8/Ojf//+7N27lxkzZlC/fn3Kli3LyZMnCQkJoXPnzrRv397sfGdnZ7788ks+/vhjOnTo8Eixff3117zzzjskJibmeHzNmjU4ODiwZMkS8ufPD0CDBg3w9/dnzZo1TJw4kSNHjrBnzx5iY2Px9fUFoG7dujRv3px169bx5ptvsnnzZi5cuMDGjRvx8vICwMfHh65duzJ//nzCw8O5cuUKH374IUFBQbz++uumuY4ePcr777+vZIgV08buIiIiIiIiIiIiIlYqb9682NvbY2NjA4DBYGD27NkYDAbGjh3LzZs3GTVqFMWLF2fy5MnZzm/ZsiW1atUiNDSUq1evPlIMAwYMwNPTk9jY2ByPV6xYkb59+5oSIQD58+enRIkSnD17FoB9+/bh6OhI48aNTX0KFSpEvXr12Lt3LwCnTp2icOHCpkQI3NkurE6dOuzZswcAFxcXNm7cyCuvvGLqYzAYsLOz4+bNm490ffJsUDJERERERERERERE5BlnNBpJT083fW7evMnJkycJDg4mJSXFrEZHqVKlmDx5Mt9//z3dunUjPj6e+fPnmyUjshgMBkJDQ0lLS2PatGmPFNvHH39MeHg4hQoVyvF4t27d6N+/v1nb6dOn+f3336lUqRIA8fHxlCtXDltb89oqZcuW5dSpUwC88MILXL9+neTkZLM+586dIykpiYSEBPLkyYOHhwcuLi5kZmby119/ERoaypkzZ8y2DRPro2SIiIiIiIiIiIiIyDPu4MGDeHh4mD5eXl689NJL/M///A8LFiygWbNmZv07depE06ZNOXbsGP3796dKlSp3HbtixYoMHTqUHTt2sHv37oeOrXLlyg/V/8aNG4wbN468efOatrJKTk7GySl7XRVHR0dT8qNNmzbY2toycuRI4uPjSUhIYM2aNaaVI2lpaWbnrly5kqZNm/Lee+/RpUsXGjVq9NDXJs8OJUNEREREREREREREnnFeXl5s2rSJTZs2ERUVReXKlalQoQIRERG0bt06W/+LFy/yww8/ALBt2zZSU1PvOX7fvn3x8PAgJCQkx9ofGRkZZitTMjIyHuk6kpOTCQwM5Oeff2bOnDmUKFECuLPy5W4MhjuvucuXL8/ChQs5ceIEbdq0oX79+uzcuZPAwEAA8uXLZ3aer68vq1ev5q233mLLli1mBejF+igZIiIiIiIiIiIiIvKMc3R0xNPTE09PT1q0aMGKFStITEykb9++XLt2zaxvZmYmQUFBGAwG5s2bx+nTpwkNDb3n+HZ2dsyYMYOEhARmzJiR7Xjv3r3NVqb07t37oa/hr7/+okePHnz33XdERETQokUL0zEnJydSUlKynZOSkmK2YsTPz489e/bw2Wef8dVXX7F69WoyMzMxGAwUKFDA7NxKlSrh7e3NwIEDCQwMZPPmzVy8ePGh45Zng52lAxARERERERERERGR3FWkSBGmTJnCiBEjCA0NJTw83HQsOjqaw4cPExUVRYsWLfj2229Zt24dzZo1M0tA/FuVKlUYMGAA0dHR1KlTx+xYSEiIWbLC0dHxoeL9/fff6du3Lzdu3GD58uXUq1fP7HiFChU4cOAARqPRVAwe7tQWqVChAgB//vkn+/bt4+WXX6ZMmTKmPseOHcPd3R1bW1suXrzIN998Q+vWrc1i9PDwAODSpUsUL178oWKXZ4NWhoiIiIiIiIiIiIhYodatW9OkSRM++eQTDh8+DMCRI0eIjo6ma9eupsTHuHHjKF++PJMmTeLy5cv3HHPQoEG8+OKLzJ4926zdzc3NtDLF09MTNze3B47z4sWLppUk69aty5YIAfDx8eH69evs37/f1Hbt2jWOHDliqvVx5coVJk2axJEjR0x94uPj2bt3r+laL1++zIQJE9ixY4fZ+Pv27cPe3t6UWBHro5UhIiIiIiIiIiIi8lyzK+pAwVcf/OX9k5j/SZkwYQIdOnRg+vTprFq1iqCgIMqWLUtwcLCpj4ODA3PmzKFHjx4EBwcTGxtrtvrin+zt7ZkxYwbdunXLtRhDQ0O5cuUKISEhJCcnm2qZADg7O1OxYkXq1auHt7c3o0aNIigoCFdXVyIjI3F2dqZ79+4AVK9enZo1azJ16lTGjBlDeno6c+bM4YUXXqBXr17AnRUgzZo1Y9asWdy4cYMKFSrw1VdfsXbtWoYPH55jkXaxDkqGiIiIiIiIiIiIyHPNkM8W+zLW+RLczc2NgIAAli9fTqtWrUhNTWX9+vU4OJgnYGrUqEFgYCBRUVGsWbOGgICAu47p5eVFr169WL58+WPHl56ezhdffAHA1KlTsx1v2LAhK1euBGDRokXMmjWLOXPmkJmZSZ06dZg/fz4uLi7AnULqkZGRhIaGMmHCBAwGA02aNCEoKAhnZ2cAbGxsmDdvHtHR0bz77rtcunSJ8uXLM23aNLp06fLY1yNPLxuj0Wi0dBAiImIdjEYjV64kWzoMeUJcXO78RTkxMc3CkciTpOds/fSMnw96zs8HPWfrp2f8fNBzzl1FizpbOgQReUqpZoiIiIiIiIiIiIiIiFg1JUNERERERERERERERMSqKRkiIiIiIiIiIiIiIiJWTckQERERERERERERERGxakqGiIiIiIiIiIiIiIiIVVMyRERERERERERERERErJqSISIiIiIiIiIiIiIiYtWUDBEREREREREREREREaumZIiIiIiIiIiIiIiIiFg1JUNERERERERERERERMSq2Vk6ABERERERERERERFLyrx5m/TLyRab366oE4a8eR75/ICAAA4fPmzWZmNjQ/78+Slfvjy9evWiY8eO/Prrr3Tp0gVfX1+io6OzjRMcHMzOnTuJi4ujbNmy+Pv7c/36dbZt20bx4sXN+l64cAE/Pz9mzpxJ586dAUhPT2fRokVs2bKFhIQEPDw8GD9+PF5eXve9hokTJ7Jp06Zs7QsWLKB169YAREdHs2DBgmx9xo4dS79+/QBISUkhLCyMXbt2kZqaSt26dZk4cSLly5cHIDIykkWLFt01ji+++IJSpUrdN1559igZIiIiIiIiIiIiIs+19MvJJGw5arH5XV+ug33pgo81hqenJ5MmTTL9nJGRwYULF1i5ciVjx47F1dUVPz8/hg8fTnh4OBs3bqRLly6m/nFxcWzevJmwsDDKli1rak9KSmLq1KnExMTcN4bQ0FC2bNlCUFAQJUuWZMWKFfTu3ZuPPvqIMmXK3PPc3377jTZt2tC7d2+z9qwkRlafunXrMmbMGLM+JUuWNP36rbfe4ueff2bs2LE4OjqyaNEi3njjDbZt24azszNdunShSZMmZucnJCQwYsQI6tevbzaWWBclQ0RERERERERERESecU5OTtSsWTNbu6+vLw0bNmTz5s34+fnRv39/9u7dy4wZM6hfvz5ly5bl5MmThISE0LlzZ9q3b292vrOzM19++SUff/wxHTp0uOv8586dY8OGDUyePJnu3bsD4OPjQ6tWrVi2bBkhISF3PTcjI4Pff/+dV199NcdryHL8+HFatmx51z5Hjhxhz549xMbG4uvrC0DdunVp3rw569at480336REiRKUKFHC7LwhQ4bg6upKWFgYNjY2d51fnm2qGSIiIiIiIiIiIiJipfLmzYu9vb3pJb/BYGD27NkYDAbGjh3LzZs3GTVqFMWLF2fy5MnZzm/ZsiW1atUiNDSUq1ev3nWegwcPkpGRQatWrUxt9vb2NG3alL17994zxlOnTnHz5k3c3d3v2iclJYUzZ87cs8++fftwdHSkcePGprZChQpRr169u8bw1Vdf8dlnnxEcHEyBAgXuGac825QMEREREREREREREXnGGY1G0tPTTZ+bN29y8uRJgoODSUlJoWPHjqa+pUqVYvLkyXz//fd069aN+Ph45s+fT/78+bONazAYCA0NJS0tjWnTpt11/vj4eFxcXChUqJBZe7ly5fjzzz+5cePGXc/97bffgDtbdfn4+FC9enV69OjBTz/9ZOpz4sQJMjMz+eabb/D398fDw4NOnTqZJTni4+MpV64ctra2ZuOXLVuWU6dO5XjP5syZg7e3t6kuiVgvJUNEREREREREREREnnEHDx7Ew8PD9PHy8uKll17if/7nf1iwYAHNmjUz69+pUyeaNm3KsWPH6N+/P1WqVLnr2BUrVmTo0KHs2LGD3bt359gnOTkZJyenbO2Ojo7AnZUdd5OVDElKSiIsLIx58+Zx8+ZN3njjDU6cOGHW59KlS4SEhBAVFUXhwoUJDAxk//79940hOTk5W/sXX3zByZMnGTx48F1jE+uhmiEiIiIiIiIiIiIizzgvLy+mTJkCwMWLF1mwYAHp6elERETg5uaWrf/Fixf54YcfANi2bRsDBgzIcWVIlr59+7Jjxw5CQkLw9vbOdtxoNN4zPhsbGzIzM8nMzDRrs7W1pUuXLtSrVw8/Pz/TsQYNGvCf//yHJUuWEB4ejr+/PyVKlMDHx4c8efIA0LhxYzp27MjChQtp1KjRPWMwGLKvC1i7di0eHh40bNjwnrGLddDKEBEREREREREREZFnnKOjI56ennh6etKiRQtWrFhBYmIiffv25dq1a2Z9MzMzCQoKwmAwMG/ePE6fPk1oaOg9x7ezs2PGjBkkJCQwY8aMbMednJxyXP2RtSLDycmJCRMmmK1eadmyJXBnK61/JkIAChQoQO3atTl+/DgAxYsXp1mzZqZECECePHlo3Lixqc/dYkhJScm2YiQhIYFDhw7dsyi8WBclQ0RERERERERERESsTJEiRZgyZQp//fVXtkRHdHQ0hw8f5p133uGll16ie/fubNq0ic8+++yeY1apUoUBAwYQFxeXrSC5m5sbCQkJJCYmmrWfPn2a0qVLY29vz9ChQ9m0aZPps3jxYgB27drFnj17ss138+ZNChYsCNwpjr59+/Z79qlQoQJnz57NtkLk9OnTVKhQwazt66+/Jj09nTZt2tzzmsV6KBkiIiIiIiIiIiIiYoVat25NkyZN+OSTTzh8+DAAR44cITo6mq5du9KiRQsAxo0bR/ny5Zk0aRKXL1++55iDBg3ixRdfZPbs2WbtjRo1AmDnzp2mtlu3bvHVV1+ZjpUuXdq0esXT0xN3d3cANm/ezKRJk8yKrF+8eJHvvvvOtCXXl19+yfjx47l69aqpT2pqKl999ZWpj4+PD9evXzfVEAG4du0aR44cMcWQ5ccff6RUqVIUL178frdRrIRqhoiIiIiIiIiIiMhzza6oE64v17Ho/E/KhAkT6NChA9OnT2fVqlUEBQVRtmxZgoODTX0cHByYM2cOPXr0IDg4mNjYWGxsbHIcz97enhkzZtCtWzez9lKlSvHyyy8zffp0UlNTKVeuHCtWrOD69ev079//njEOGjSInj17MmjQIHr37k1SUhKRkZG4urrSp08fAHr16kVcXBwDBgxg8ODBGI1GYmNjSUtLY+jQoQDUq1cPb29vRo0aRVBQEK6urkRGRuLs7Ez37t3N5jx+/DiVKlV66Pspzy4lQ0REREREREREROS5ZsibB/vSBS0dxhPh5uZGQEAAy5cvp1WrVqSmprJ+/XocHBzM+tWoUYPAwECioqJYs2YNAQEBdx3Ty8uLXr16sXz5crP2adOmUaBAAZYuXUpqaioeHh6sWLGCcuXK3TPGGjVqsHLlShYsWMCoUaMwGAz4+PgwZswYU62PMmXKsHbtWsLDw5k4cSK3bt2iXr16rF27ltKlS5vGWrRoEbNmzWLOnDlkZmZSp04d5s+fj4uLi9mcV69epVq1ag90D8U62Bj/vYGaiIjIIzIajVy5kmzpMOQJcXG58xflxMQ0C0ciT5Kes/XTM34+6Dk/H/ScrZ+e8fNBzzl3FS3qbOkQROQppZohIiIiIiIiIiIiIiJi1ZQMERERERERERERERERq6ZkiIiIiIiIiIiIiIiIWDUlQ0RERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVUzJERERERERERERERESsmpIhIiIiIiIiIiIiIiJi1ZQMERERERERERERERERq6ZkiIiIiIiIiIiIiIiIWDUlQ0RERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVUzJERERERERERERERESsmpIhIiIiIiIiIiIiIiJi1ZQMERERERERERERERERq6ZkiIiIiIiIiIiIiIiIWDUlQ0RERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVUzJERMQCjEajpUMQERERERERERF5bigZIvKMS05OZvHixXTo0IFatWpRv359AgIC+Pjjj63ihXtkZCTVqlWzdBi56ssvv2TcuHGmnw8dOoS7uztHjhx54nNb4/0UERERERERERG5HztLByAij+7s2bP079+f69ev07t3b2rUqEFqaipfffUV48ePZ9euXcybNw97e3tLh/rIunTpgq+vr6XDyFWrVq0iIyPDInNb4/0UERERERERERG5HyVDRJ5RmZmZjBkzhps3bxIXF0fx4sVNx/z9/WnatCmDBw8mMjKS0aNHWzDSx1OiRAlKlChh6TCshu6niIiIiIiIiIg8j7RNlkgu8Pf3Z+HChbzzzjvUqVOHBg0a8Pbbb5OWlmbqExAQwLhx4xgyZAg1atRg4MCBANy4cYPZs2fj6+uLp6cnnTp14vPPP7/vnAcOHOD7779n7NixZomQf8bUrl07Vq1aRXJyMgDjx4+nZcuWZv3OnTuHu7s7H330kant/PnzjBw5knr16lGzZk369evH//zP/2Q7Z9euXQwdOpRatWrh7e3N5MmTza45PT2dlStX8tJLL+Hl5UXz5s1ZvHix2aqIM2fOMHDgQOrXr0+NGjXo2rUre/bsMR3/97ZOAQEBTJkyhZiYGPz8/PD09KRbt278/PPPZtd1/PhxBgwYQK1atahTpw4jRozgwoUL97yn165dY/To0TRu3BgvLy86duxIXFwcAAkJCXh6erJgwQKzc5KSkvDy8mLt2rUPdF8CAgI4cOAAhw8fxt3dnUOHDpnGOnnyJH369MHLy4vGjRszb948s3uVmZlJTEwMLVq0oHr16rRu3ZqNGzeaxfOw9/N+/UVERERERERERKyBkiEiuWT16tUcO3aMuXPnMmjQIOLi4hgzZoxZn08++QRXV1diYmLo1asXRqORoUOH8sEHH9CvXz+ioqKoWrUqQ4YM4bPPPrvnfF988QW2trY0bdr0rn3atGnDzZs32bdv3wNfx7Vr1+jevTu//fYbb7/9NmFhYaSkpNCjRw/Onz9v1nfSpEmUKVOG6Oho+vXrx8aNG1myZInp+MSJEwkLC6NNmzYsXryYTp06ERUVxeTJk4E7L/cDAwNJS0tjzpw5REdH4+rqyqBBgzhz5sxdY9y+fTtfffUVkydPZt68eVy5coURI0aQmZkJwKlTp+jevTuJiYnMnTuXd955hxMnTtCzZ0+SkpLuOu6YMWM4efIkISEhLF26lGrVqjFu3DgOHTqEq6sr/v7+bN26NVssRqORl1566YHuy9SpU/H09KRatWps2LABDw8P03mhoaF4e3uzZMkSWrduzZIlS/jggw9Mx99++20WLVrEyy+/TExMDM2aNWPy5MmsXr36ke7no95/ERERERERERGRZ422yRLJJba2tixbtgxHR0fTz++88w6///47L774IgB58+Zl6tSpphoe+/bt4+uvv2bhwoW0atUKAF9fX65fv87cuXNp0aLFXec7f/48BQsWJH/+/HftU6ZMGQD+/PPPB76OVatWkZiYyAcffGDaTsnHx4eWLVuyePFipk+fburbrFkzUyHwhg0bsm/fPr766itGjhzJ77//TlxcHGPHjqVfv34ANG7cmHz58hEWFkbv3r0pWLAg8fHxDB48GD8/PwC8vLxYtGgRN2/evGuMGRkZLFu2DCcnJwBSUlIYN24cJ06coEqVKixatIj8+fOzYsUK0/OoV68eLVq0YM2aNQwaNCjHcQ8fPsyQIUNM993b2xtXV1fy5MkDwCuvvMKOHTs4evQoderUASAuLo5mzZrh6upqWoFzr/tSqVIlnJycyMjIoGbNmmbz9+nTxxRbgwYN+Pzzzzl48CDdu3fn1KlTfPDBB4wdO5a+ffuanktGRgYLFizg1VdfJTk5+aHu59WrVx/p/ouIiIiIiIiIiDxrtDJEJJf4+/ubXrwD/Oc//wHgyJEjprZKlSqZFTM/cOAAtra2+Pr6kp6ebvr4+/vzxx9/cO7cOTIzM82OpaenP3BMtra2AA9VrPvAgQN4eHhQpEgR03x2dnY0btyY/fv3m/WtXbu22c8lSpQwbQf17bffAtCuXTuzPh06dDAdL1KkCJUqVWLy5MmMGzeOrVu3kpmZSXBwsCmBlBN3d3dTIgQwbROWmpoKwMGDB2nQoAF58+Y1XUPBggXx8vLKdg3/VL9+fSIjIxk+fDgbN27kypUrjBs3znSdPj4+lChRgo8//hi4s8XUd999R+fOnR/4vtxL3bp1Tb+2sbGhVKlSppUsBw8exGg00qxZs2y/V5KSkvjpp58e+n4+6v0XERERERERERF51mhliEguKVasmNnPhQoVAuD69eumtn+v4khISMhxhUCWS5cusWXLFhYtWmTWfvz4cUqVKsXevXtJSUkxS8L807lz5wAoWbLkA19HQkICp0+fNtu+KUvWCoks+fLlM/vZYDCYtqpKTEwEoHDhwmZ9sn5OSkrCxsaG5cuXs3jxYnbv3k1cXBx58uShRYsWhISE4OLikmOMOc0LmOZOSEhg69at2ba0AihfvnyOYwJEREQQExPDp59+ys6dOzEYDDRq1Ihp06ZRqlQpDAYDnTp1Yv369UycOJG4uDiKFi1KkyZNHvi+3IuDg8Ndz0tISACgdevWOZ576dKlh76fj3r/RUREREREREREnjVKhojkkqyX1VmuXr0K/P+kSE6cnZ1xdnZmxYoVOR6vUKECpUqVyrEuiL+/P2vWrOGLL76gffv2pvZff/0Vd3d3DAYDO3fuJE+ePDRo0AC48/L736tEslZTZHFycqJBgwYEBQXdNe4HUaBAAeDOffhngffLly8DULBgQeDOqo63336bqVOn8ttvv7Fjxw5iY2MpXLiwqbbIw3JycsLX15c33ngj27F/rsz5N2dnZ8aMGcOYMWOIj4/n888/Jzo6mnfeeYeYmBgAOnfuTExMDAcOHODTTz+lQ4cOphU4T5KzszMAa9asyZZsAShdujTw8PfzSdx/ERERERERERGRp422yRLJJV9//bXZFlY7d+7ExsbGlIjISb169UhKSsLOzg5PT0/T56effmLx4sXY2NhQvHhxs2Oenp7AnVoUtWvXZu7cufz111/AnZURAwYMoE2bNqxYsYKPPvqIHj16mBIyjo6OXLt2jVu3bpliOHr0qFlM3t7enDp1iooVK5rN+cEHH7Bt27YHvh/16tUD7hSN/6esn+vUqcNPP/1Eo0aN+Omnn7CxsaFq1aq89dZbVK5c2XRNj8Lb25uTJ0/i4eFhir9atWosXbqUvXv35njOhQsX8PPzY8eOHQC4ubkxYMAAGjVqZBZLuXLlqFevHsuWLSM+Pj7bFlkP4lGSJ1lbaCUmJpo9l7/++ouFCxeSlpb20PfzSd1/ERERERERERGRp41WhojkkvPnzzN06FB69OjByZMnmT9/Pq+++qqpiHlOmjZtSu3atRk4cCCDBw+mfPnyfPfdd0RFRdGuXbu7bn8Fd7ZQCg8Pp3///nTu3JnevXtTo0YNJk2axLRp05g1axaurq5mxcKbNWvG6tWrmTBhAq+++ionTpxgxYoVZi/n+/TpQ1xcHH379qV3794UKFCAuLg4PvroI2bOnPnA96Ny5cp06NCBiIgI0tLSqFWrFt9//z0xMTF06NCBSpUqcevWLfLnz8/YsWMZNmwYRYoUYf/+/fz666/06dPngef6tyFDhvDaa68xaNAgXnvtNezs7FizZg379++ne/fuOZ5TokQJSpUqxfTp00lOTqZs2bL88ssv7Nmzh8GDB5v17dy5M8HBwXh6elKpUqWHjs/Z2ZkjR45w4MABqlWr9kDnVKlShXbt2jFhwgTOnj1L1apV+f3334mIiMDDw4OSJUtSpEiRh7qfVapUeSL3X0RERERERERE5GmjZIhILmnfvj358uVjxIgRODk50a9fP4YMGXLPcwwGA7GxsSxYsIBFixbx999/88ILLzBw4EACAwPvO2fJkiX54IMPWLt2Ldu2bSMmJoY8efJQqVIl+vfvz5YtW2jfvj3jx4+nXbt2NG7cmHHjxrF69Wp27tyJh4cHixYtolu3bqYxixcvzvr165k3bx6TJ0/m9u3buLm5MW/ePF566aWHuiczZ86kXLlybN68mZiYGEqWLMmwYcPo378/cGfLqnfffZfw8HBCQ0O5fv065cuX55133qFjx44PNdc/ValShbVr1zJ//nyCgoKwsbGhSpUqLF26lEaNGt31vMjISMLCwliwYIHpWQwbNowBAwaY9cvatuxRVoUA9OjRgx9//JEBAwYwZ86cbHVV7mbWrFnExMSwZs0aLl68SJEiRXj11VcZPnw48PD380ndfxERERERERERkaeNjdFoNFo6CJFnnb+/Pw0bNiQ0NNTSoZi5ffs2W7ZsoVixYjnWHZFHExcXx9SpU/nmm29MtTzkDqPRyJUryZYOQ54QFxcHABIT0ywciTxJes7WT8/4+aDn/HzQc7Z+esbPBz3n3FW0qP6dLiI508oQESuWJ08eXnvtNUuHYTV2797Nzz//zLp16+jSpYsSISIiIiIiIiIiIs8IFVAXEXlA58+fZ9WqVdSsWZORI0daOhwRERERERERERF5QNomS0REco22ybJuWr7/fNBztn56xs8HPefng56z9dMzfj7oOecubZMlInejlSEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERERERERERsWpKhoiIiIiIiIiIiIiIiFVTMkRERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqtlZOgAREbEuLi4Olg5BnhA7O1tAz9ja2dnZYjQaLR2GiIiIiIiISK5SMkRERHJV5qVMS4cgT8gt9GyfC0UN2OSxsXQUIiIiIiIiIrlKyRAREck9Rriw6ZqloxCRx1Di1ULYl8xj6TBEREREREREcpVqhoiIiIiIiIiIiIiIiFXTyhAREck9NlB2UDFLRyEij8Emjw1olywRERERERGxMkqGiIhIrkq/lGrpEETkMdgVdcAmrxYPi4iIiIiIiHVRMkRERHKPEf7eFG/pKETkMRR81Q27Uo6WDkNEREREREQkV+lrfyIiIiIiIiIiIiIiYtW0MkRERHKPDRQd5GHpKETkMdjYG1QzRERERERERKyOkiEiIpKr0q9ct3QIIvIY7Io6YWOvvyKKiIiIiIiIddG/dEVEJPcYjSRsOWrpKETkMbi+XAe7kq6WDkNEREREREQkV6lmiIiIiIiIiIiIiIiIWDWtDBERkdxjY4Pry3UsHYWIPAa7ok6WDkFEREREREQk1ykZIiIiuauYs6UjkCfEzs4WgPT0DAtHIk+UnS1Go9HSUYiIiIiIiIjkKiVDREQkVyUmplk6BHlCXFwcAD1ja5f1nEVERERERESsiWqGiIiIiIiIiIiIiIiIVVMyRERERERERERERERErJqSISIiIiIiIiIiIiIiYtWUDBEREREREREREREREaumZIiIiIiIiIiIiIiIiFg1JUNERERERERERERERMSq2RiNRqOlgxAREetgNBrRnyrWy8bmzv/qGVs3PWfrp2f8fNBzfj7oOVs/PePng55z7jIYbCwdgog8pZQMERERERERERERERERq6ZtskRERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVUzJERERERERERERERESsmpIhIiIiIiIiIiIiIiJi1ZQMERERERERERERERERq6ZkiIiIiIiIiIiIiIiIWDUlQ0RERERERERERERExKopGSIiIiIiIiIiIiIiIlZNyRAREREREREREREREbFqSoaIiIiIiIiIiIiIiIhVUzJEREQe2yeffMJLL72El5cXbdq0IS4uztIhyRPy66+/4uHhwYULFywdiuSyzMxM1q1bR/v27alVqxYtWrRg5syZJCcnWzo0yUVGo5GVK1fSqlUrvLy86NChA1u3brV0WPIEDR06lJYtW1o6DMll6enpeHl54e7ubvapVauWpUOTXPTtt9/SvXt3atSogY+PD++88w4pKSmWDktyyaFDh7L9N/zPz5YtWywdooiI1bGzdAAiIvJs2759O0FBQfTq1QsfHx8+++wzxo0bR758+WjdurWlw5NcdPLkSQIDA0lPT7d0KPIELFu2jPnz59OvXz8aNmzIqVOnWLhwIf/zP//Du+++a+nwJJcsWbKEhQsXMmzYMGrWrMnevXsJCgrC1taWtm3bWjo8yWUfffQRu3fvpmzZspYORXLZqVOnuHnzJrNnz6Z8+fKmdoNB33e0Fj/88AN9+vTB39+fxYsXc/r0aebNm8e1a9eIiIiwdHiSCzw8PNiwYYNZm9FoZOLEiaSmpuLn52ehyERErJeSISIi8lgiIiJo06YNwcHBADRp0oTExEQWLFigZIiVSE9PZ8OGDYSHh5MnTx5LhyNPgNFoZNmyZXTt2pXRo0cD0KhRIwoWLMhbb73Fr7/+StWqVS0cpTyu27dvs3z5crp3786gQYMAaNiwIb/88gtr1qxRMsTKXLx4kdDQUEqUKGHpUOQJ+O233zAYDLRq1QoHBwdLhyNPQFhYGDVr1mTBggXY2NjQqFEjMjMzWbFiBWlpaXruVsDJyYmaNWuata1atYpTp06xfv16ChUqZJnARESsmL42IiIij+zs2bOcOXOG//znP2btrVq1Ij4+nrNnz1ooMslNR48eJSwsjL59+xIUFGTpcOQJSElJoUOHDrRr186s3c3NDYAzZ85YIizJZba2tqxevZo333zTrD1PnjzcvHnTQlHJkzJp0iQaN25Mw4YNLR2KPAG//vorZcuW1QtxK3Xt2jWOHDlC9+7dsbGxMbX37NmTzz77TM/dSl2+fJkFCxaYtkYTEZHcp2SIiIg8svj4eAAqVKhg1l6uXDngzhYO8uyrWLEin332GUOHDsXW1tbS4cgT4OTkxKRJk6hTp45Z+2effQZApUqVLBGW5DKDwYC7uzvFixfHaDRy5coVli5dyv79++nataulw5NctHHjRv773/8yefJkS4ciT8jx48ext7enX79+1KpVi3r16jFlyhTVebISJ06cwGg04uLiwsiRI6lZsyZ16tRh6tSp3Lhxw9LhyRMSGRmJwWBg5MiRlg5FRMRqaZssERF5ZElJScCdF6n/5OjoCKB/kFuJIkWKWDoEsYAff/yRpUuX0qJFCypWrGjpcCSX7dq1i+HDhwPQtGlTOnToYOGIJLecP3+emTNnMnPmTG2xYsV+++03kpOT6dKlCwMHDuSXX34hMjKSU6dO8d5775mtJpBnz7Vr1wAYP348LVu2ZPHixRw/fpz58+dz8+ZNZs2aZeEIJbddvXqVuLg4+vbtS4ECBSwdjoiI1VIyREREHpnRaLzncRXxFHk2HT16lIEDB1K6dGmmT59u6XDkCahWrRpr1qzh+PHjLFiwgDfffJNVq1bpBeozzmg0MmHCBPz8/GjVqpWlw5EnKCIiAhcXF9zd3QGoV68ehQsXZsyYMezfv5/GjRtbOEJ5HLdv3wagdu3aTJ06FbhT48loNDJ79myGDBlCmTJlLBmi5LKNGzeSmZnJG2+8YelQRESsmt5SiYjII3N2dgbu1Bv4p6wVIVnHReTZsX37dvr06cMLL7zAypUrKViwoKVDkiegTJky1KtXj9dff52JEydy6NAhvv/+e0uHJY9p7dq1HD9+nAkTJpCenk56errpiwv//LU8+7y9vU2JkCxNmzYF7qwakWdb1iprX19fs3YfHx+MRiPHjx+3RFjyBO3cuZMmTZpoRZ+IyBOmZIiIiDyyrFoh/y6ufPr0abPjIvJsWLFiBaNGjaJmzZqsXbuWYsWKWTokyUUJCQnExcVx8eJFs/Zq1aoBcOnSJUuEJblo586d/P333/j4+ODh4YGHhwdxcXGcOXMGDw8PtmzZYukQJRdcvXqVjRs3cvbsWbP2rFoSSmI/+8qXLw/ArVu3zNqzVoxoFZ91uXjxIseOHaNNmzaWDkVExOopGSIiIo+sXLlylC5dmh07dpi179q1i/Lly1OyZEkLRSYiD2vjxo3MmjWLNm3asGzZMq3sskKZmZmMHz+eDRs2mLXv27cPgMqVK1siLMlFISEhbNq0yezTrFkzSpQoYfq1PPtsbGyYMmUKa9asMWvfvn07tra21KlTx0KRSW6pWLEipUqVYvv27WbtX375JXZ2dtSqVctCkcmT8OOPPwLov10Rkf8DqhkiIiKPZciQIQQHB+Pi4kLTpk35/PPP+fTTT4mIiLB0aCLygK5evUpoaCilSpWiZ8+eHDt2zOx42bJltW2DFShUqBA9evRg6dKl5MuXD09PT44ePcqSJUvo0qULbm5ulg5RHlNOz9DV1RV7e3s8PT0tEJE8CYUKFaJnz56sXr0aJycn6taty9GjR4mJiaFnz56UK1fO0iHKY7KxsSEoKIhRo0YRFBRE586d+eWXX1i8eDGvv/66/ky2MidOnMDBwYFSpUpZOhQREaunZIiIiDyWzp07c+vWLZYvX87GjRspU6YMs2fPpm3btpYOTUQe0Ndff01aWhrnz5+nZ8+e2Y7PmTOHjh07WiAyyW3BwcG88MILbNq0icjISEqUKMHw4cPp16+fpUMTkYcwbtw4ihcvzocffsjSpUspXrw4w4cPp3///pYOTXJJ27Ztsbe3JyoqisDAQAoXLsyQIUMIDAy0dGiSy65cuUKBAgUsHYaIyHPBxqgqeiIiIiIiIiIiIiIiYsVUM0RERERERERERERERKyakiEiIiIiIiIiIiIiImLVlAwRERERERERERERERGrpmSIiIiIiIiIiIiIiIhYNSVDRERERERERERERETEqikZIiIiIiIiIiIiIiIiVk3JEBERERERee75+/sTEBDwROdITU2ladOmHD16FIDNmzfj7u5+z89nn30GQEBAAP7+/k8krujoaIYOHfpExhYREREReVrYWToAERERERGR50FkZCTu7u7UqVPHrL1r167Z2rJUr179icfVq1cvmjdvzp49e/Dz83vi84mIiIiIWIKSISIiIiIiIk/Y2bNnee+991izZk22YzVr1qRjx44WiOoOR0dH3njjDUJDQ2nSpAkGgzYQEBERERHro7/lioiIiIiIPGGrV6/mhRdeoFatWpYOJUevvPIKZ8+e5csvv7R0KCIiIiIiT4SSISIiIiIiIv9y5MgRevfuTa1atahVqxZvvPEG3377bbZ+e/bsoUuXLtSsWZPmzZuzdu1aJk6caFbf48aNG2zevJnmzZvnWnx3qyHyz/bjx49TvXp1XnvtNYxGo6lPTEwM7u7urF+/3tRWvHhxatasydq1a3MtRhERERGRp4mSISIiIiIiIv/w+eefExAQwF9//cWgQYMYNGgQf/31F7179+bzzz839fvyyy8ZNGgQt2/f5q233qJVq1bMmjXLVPQ8y9GjR0lKSqJp06Y5zpeamsq1a9eyfW7duvVY1+Hu7k5gYCA//vgjGzZsAODEiRMsWrQIX19funXrZtbf29ubw4cPc+PGjceaV0RERETkaaSaISIiIiIiIv8rPT2dadOmUbx4cT788EOcnJwA6NatG+3atSMkJARfX1/y5Mn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      },
      "metadata": {},
      "output_type": "display_data"
@@ -899,8 +792,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T19:06:32.082647Z",
-     "start_time": "2023-06-26T19:06:31.451785Z"
+     "end_time": "2023-06-26T20:54:03.878599Z",
+     "start_time": "2023-06-26T20:54:03.128354Z"
     }
    }
   }

From 6ef87b0059d39c31bf637a6cf16682d67d4bd474 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 26 Jun 2023 13:59:59 -0700
Subject: [PATCH 32/58] New branch for Tim

---
 notebooks/new_environments/test_environments_new.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index ea7ce1d2a..df7adf187 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -785,7 +785,7 @@
     }
    ],
    "source": [
-    "# for each environment, plot the fluxes of the reactions that are relevant to that environment\n",
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
     "g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
     "g.savefig(\"notebooks/fbagd/figures/rxns_light_up.pdf\")"
    ],

From 15fd488137d2c2d190871c21b7efd7673886c18f Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 29 Jun 2023 12:04:45 -0700
Subject: [PATCH 33/58] Added control vs. experiment flux distinction and
 support for excel import of environments

---
 .../test_environments_new.ipynb               | 534 ++++++++++++------
 1 file changed, 349 insertions(+), 185 deletions(-)

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index df7adf187..812a2a958 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 1412,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:45.414004Z",
-     "start_time": "2023-06-26T20:57:45.412114Z"
+     "end_time": "2023-06-29T18:13:37.208940Z",
+     "start_time": "2023-06-29T18:13:36.979591Z"
     }
    },
    "outputs": [],
@@ -18,7 +18,7 @@
     "import pandas as pd\n",
     "import os\n",
     "\n",
-    "os.chdir(os.path.expanduser('~/vivarium-ecoli'))\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
@@ -26,6 +26,7 @@
     "import xmltodict\n",
     "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
     "\n",
+    "\n",
     "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
     "\n",
     "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
@@ -47,11 +48,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 1413,
    "outputs": [],
    "source": [
     "time = '50'\n",
-    "date = '2023-06-09'\n",
+    "date = '2023-06-26'\n",
     "experiment = 'fba-redux'\n",
     "entry = f'{experiment}_{time}_{date}'\n",
     "folder = f'out/fbagd/{entry}/'"
@@ -59,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:45.655960Z",
-     "start_time": "2023-06-26T20:57:45.654112Z"
+     "end_time": "2023-06-29T18:13:37.222694Z",
+     "start_time": "2023-06-29T18:13:36.985613Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 1414,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -79,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:46.343772Z",
-     "start_time": "2023-06-26T20:57:45.846198Z"
+     "end_time": "2023-06-29T18:13:40.551633Z",
+     "start_time": "2023-06-29T18:13:36.993207Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 1415,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -100,8 +101,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:46.880479Z",
-     "start_time": "2023-06-26T20:57:46.345051Z"
+     "end_time": "2023-06-29T18:13:42.676035Z",
+     "start_time": "2023-06-29T18:13:40.559885Z"
     }
    }
   },
@@ -116,12 +117,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 1416,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
+      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
@@ -146,8 +147,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:47.095046Z",
-     "start_time": "2023-06-26T20:57:46.900469Z"
+     "end_time": "2023-06-29T18:13:44.686933Z",
+     "start_time": "2023-06-29T18:13:42.708789Z"
     }
    }
   },
@@ -162,12 +163,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 1417,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
+      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
@@ -196,21 +197,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:47.585269Z",
-     "start_time": "2023-06-26T20:57:47.420767Z"
+     "end_time": "2023-06-29T18:13:47.427870Z",
+     "start_time": "2023-06-29T18:13:44.686821Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 1418,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 36,
+     "execution_count": 1418,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -223,8 +224,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:50.720960Z",
-     "start_time": "2023-06-26T20:57:50.656856Z"
+     "end_time": "2023-06-29T18:13:49.991158Z",
+     "start_time": "2023-06-29T18:13:47.453581Z"
     }
    }
   },
@@ -239,13 +240,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 1419,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 37,
+     "execution_count": 1419,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -279,8 +280,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:50.959153Z",
-     "start_time": "2023-06-26T20:57:50.955010Z"
+     "end_time": "2023-06-29T18:13:50.049824Z",
+     "start_time": "2023-06-29T18:13:47.881847Z"
     }
    }
   },
@@ -295,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 1420,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -305,14 +306,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:51.545487Z",
-     "start_time": "2023-06-26T20:57:51.536408Z"
+     "end_time": "2023-06-29T18:13:50.050140Z",
+     "start_time": "2023-06-29T18:13:47.900438Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 1421,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -326,14 +327,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.203099Z",
-     "start_time": "2023-06-26T20:57:51.791065Z"
+     "end_time": "2023-06-29T18:13:50.579733Z",
+     "start_time": "2023-06-29T18:13:47.937930Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 1422,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -341,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.207568Z",
-     "start_time": "2023-06-26T20:57:52.203915Z"
+     "end_time": "2023-06-29T18:13:50.580036Z",
+     "start_time": "2023-06-29T18:13:50.526151Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 1423,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -363,20 +364,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.500557Z",
-     "start_time": "2023-06-26T20:57:52.305711Z"
+     "end_time": "2023-06-29T18:13:51.354272Z",
+     "start_time": "2023-06-29T18:13:50.556017Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 1424,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 42,
+     "execution_count": 1424,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -387,19 +388,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.505455Z",
-     "start_time": "2023-06-26T20:57:52.501004Z"
+     "end_time": "2023-06-29T18:13:51.367321Z",
+     "start_time": "2023-06-29T18:13:51.358923Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 1425,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 2160x360 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 9000x1500 with 1 Axes>",
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tuRGCGwG4M3XqVI9zsY8//riWLl2qJ554guBGAB6ZNZqZM2emuye2UaNGkuS0tuMa3Hj27FnmTgBI8u78n5mDJbgRgDvR0dEexzrNmjVTv379dNttt0kiuBFAWt7WdSxVqpRVK8ldcOO8efMIbgQgybv6jqVLl5bkvmYSwY0ApPQDG125nicmuBGA5Dmw0YQ0EtgIAPAVvx0AAIDfUlNTVbp0aY0YMcIqQGMPbLQXB4+KiiK4EYBb9klzTxuFWrZsqVGjRqlevXqSCG4E4NmyZcucitNI1zYXNm/eXO+++66ef/55tW7dOt3gxilTphDcCFznfvvtN2tskz9/fqe+SfPmzTV8+HC1aNFCQ4YMUYECBazDmpIIbgQgSdbhhQoVKqht27Zq1KiRWrZsqTFjxkiS06Eqg+BGABmZMWOGx03Mbdq00fDhwyU5tyEENwJwZ/r06enOx3799dd67LHHJBHcCMC9+fPnW/0S10LhLVu21LRp09SlSxc9/PDD6QY3zp07l+BGAJo1a1aasU5KSoocDodq1qypyMhIt3OwBDcCcCe9Q+C33HKLwsPDJaVdJya4EYAkbd68We+++66kawe/7evE77zzjurWratu3bqpatWqkghuBJDW3r17NWfOHElp25IWLVpozJgxKlasmEaPHq17772X4EYAHsXHx2vlypVWW2IPVzPtSXh4uOrXr6+ePXsS3AggXe7mYU0f5dFHH1X79u1VvHhxSe7nTQhuBFCxYkX16dNHjzzyiKSr+9JatWrldJ7Y7El79dVXnYIbTXtCcCMAO3drOmaduGXLlqpbt67VPgQEBBDcCCCN+Ph4a89ISEiI1VaYuZORI0dKkkaMGKHWrVsT3AjAowULFlhn/vLly+c0b9KqVStNmzZNPXr0UIMGDSR5Dm6cOnUqwY0A0g2BrVevnlq3bi3Jec6E4EYAdqtXr04TXuJaO+nJJ5/U008/rfLlyzs9TnAjAMm7uo6tWrXSO++8o0ceeYTgRgBe8aY2wRNPPCGJ4EYA7pk+SkbniQsXLuz2PDHBjcD1zVNgY1JSkiQCGwEA/uE3BAAA8JtZWCtVqpRGjBihl19+2emAletglOBGAJ5s37493Y1CY8eOVe3atdW2bVvVqVNHEsGNANyrX7++7r//fuvf9gNWb7/9tqSrfZj/+7//0+OPP+4xuHHDhg0ENwLXufLly6t3796SpMuXL1ubkO3ticPhUOvWrTVs2DCCGwGkYT+8cOedd2rQoEEaO3aspPQX8QluBODJpk2brHbEXaj0W2+9pSeffNIq3mvaEIfDoaSkJIIbAVgOHjyoL7/8UpIUFBSUpkjN2LFjVaBAAQ0dOlTNmjWTRHAjgLQCAgIUGRmp4OBgqw2xtyOSdPfdd6tDhw565JFHPAY3Lly4UHPmzCG4EbiOzZw50yqS53pgs0WLFpo1a5ZGjRqliIgIghsBZGjy5MkeD4E//vjj+vrrr9WqVSuCGwF4VLFiRbVr104lSpRQcnKykpOT06wTS9KDDz6onj17EtwIwK2SJUuqV69euuuuu5ScnGwVkWjRooW11z4lJUUlS5bU22+/TXAjAI/Cw8M1dOhQPfzwwypUqJCSk5OVmpqapj2JiorSI488oueeey7D4MZvv/1WEsGNwPXmu+++c5qHlZzP7IwfP169evXSY489phtuuMHpcYIbAdhVqFBBPXr00P3336+HH37YCjUx+2Lte9LcBTeaQnsENwL4/vvvrTUd12Ckxx57TGPHjtXUqVOt4EYz/2q+DgoK0tKlS9WnTx9JzJsA16vw8HCNHTtWdevWVVJSUpq52ICAAGuP6+jRowluBODRiRMnVLx4cQUFBVkFfU17YsY9d911l7p166aGDRtKIrgRgHtffvmlxxDYli1basqUKeratatatmwpieBGAO5Vr15dTZo0UWhoqFN4iX0PW1BQkB5//HG1bduW4EYAbu3Zs8dqM9ytEY8ZM0bVqlXTM888oyZNmhDcCCBdhw4d0jfffCPJc22C0NBQDRo0yG1QPcGNAAxvzhOPHTtWkZGRBDcCsKQX2Gj2kBDYCADwB78lAABAppgDDmXKlFH37t0lpT8YJbgRgDsVK1bUyy+/rMKFC3vcKCRJ9erVU4cOHQhuBOBWcnKygoODNW3aNOuQVWpqqlq2bOkULJ2amqr8+fOrW7duBDcC8KhAgQLq2rWrXnrpJUlX25jWrVs7tSdmQ3LLli3dBjeadongRuD6ZT+8YPoc9oJ4nhDcCMCd4sWLq127dpI8h0qnpqbqmWee0VtvvSXpWn9EEsGNACylSpVSr169VLNmTaWkpCgpKcltwfDIyEi9+eabBDcCcOuJJ57QkCFDVLRoUaWkpKSZizWbmqtUqaL27dunG9y4aNEighuB61RKSoouXbpk/TsoKMjpgJVpUxo2bKjhw4cT3AggXYmJiVqyZIkkKTQ0VJKc2pRRo0YpJCREL7/8spo3b05wI4A0zH6Svn37qnnz5ipWrJgkOfVLTJuRL18+PfDAAwQ3AkjD4XCoQIECatq0qTp06KDbb789zRjHzItIUokSJQhuBOCRw+HQzTffrJdeekm1a9eWJDVr1sxtexIREaGHH344w+DGmTNnEtwIXIfq1KmjihUrSpJVbNN1z0n+/PnVs2dPtWzZUsWLF5dEcCMA9+68806NGjVKH3zwgaS054nTC240BfcIbgSubw6HQxEREapUqZIkOdUaaNGihd555x3ruVOnTlW9evWs9sGsKZuvf/jhB/Xu3VsS8ybA9aps2bIaOnSoHnzwQbfnifPly2e1IQQ3AvDkueeeU5cuXVS6dGmlpqYqJSUlzZ7YoKAgVatWTV27diW4EYBHly5dUpkyZRQcHKykpCRJ18Y6Y8eOlSSVL19enTp1UqtWrSQR3AjAWUpKigoWLKixY8eqUaNGTueIXfewhYWFqXXr1gQ3AnCrfPnyev3111W8ePF06zree++9at++PcGNANJVunRp9erVS7Vq1Uq3NkF4eLhef/11ghsBuJWamupUl8TTeeJ69epp1KhRBDcCkOQ5sDE5OZnARgBApgU4mDEHAADZ4MyZM1aw2tGjR60BrFmsk6QHH3xQHTp0UL169bLzUgH8w1JSUqzFtOnTp2vSpEm6cOFCmo1C9kI0a9asUUxMjNasWSPp2mR7QECAUlNTVaJECSsg1hTPAnB9MG1KcnKynnnmGZUsWVIffvihJOdJc/P15cuXNW3aNC1cuFBHjhyRdPWApr1Pct9996lHjx667777rPYKwPUjISFBEydO1JEjR/Tee+9Jct+eSNJ///tfvfnmm7p06ZJV8EqS1S5FRERo/PjxevDBB7PnhwGQ68ydO9cKXgsODrb6J2bsU6pUKY0fP1733HNPdl4mgP+hQ4cOafbs2YqOjpYktWrVSmPGjJF0rWiN6Zt8/vnnVgBscHCwtbkoJCRESUlJCg8P15w5c3THHXc4zc8AyNtM4czk5GStXLlS06dP19atW9W8eXOnAFj7xsP4+HgNGzbMKuBrL3xl+iWNGjXSe++9p3z58v3vfygA/3P2duKrr77SoEGD9Nhjjzmt65i5EbO288svv2jWrFlavHix1fcwz0tJSVFERIRat26tdu3a6eabb862nw3A/96VK1c0b948a2wjOQcjmQB6SVqyZImGDh2quLg4t3OwYWFhevfdd9WgQYP//Q8CIEe4cOGC+vTpo59//tmaD7G3KYmJicqXL58SExM1evRoff3114qPj5eUdp24fv366tevn2677bZs+3kA/O+ZccqVK1c0atQoBQUFWfOs7g5rJiUl6aefftLkyZO1bds2SVf7Jg6Hw5o/KVOmjJ588kl17txZISEhTmMlAHlbQkKCvvzySx07dkx9+/aV5Png9/Hjx/XKK69o48aNVjtiP/LncDj01FNP6c0330z3fQDkPabvsH//fq1bt07t2rWT5LkdiIuL05IlS6xCvq5zsZJUqVIlde7cWU2bNnX6DAB5kwlJi4+PV/fu3bV161ZJaQPqpavzI3FxcZo6daq++uornThxwvq+67xJt27dVL16dau4L+0IcH1K7/6370kbPXq0tefNvh/WrPHcfvvtmjt3rsLDw9nLBlwnkpKStG3bNn3wwQfasmWLJKlly5ZWiElqaqpSU1MVHBwsSerRo4dWrVpltQ/2MVFKSooaNWqkjz76KM1jAK4ff//9t5YvX65u3bpJStsW2PsYr776qhYtWuTUjzH7UFJTU1W7dm2NHTtWRYsW/d/+EACyhb29mDFjhj788EM1atQozd56+/hn69at+uSTT7R8+XJJclrbcTgcKlasmJo3b67u3burSJEizJ0A15mFCxdqxowZ2rNnjxwOh9NYx8zXStIff/yh6Ohoffnll5Kc50wcDociIyPVpEkTPffccypVqhRtCXAdMeOXS5cu6YUXXlCxYsWczhGbvotpFxISErRo0SLNnTtXe/bskZR2bady5cpq3769mjZtavVdaFOAvMveVixYsEDvvfeeTp8+nW5dx82bN2vWrFlaunSpFf5q329SuHBh/fvf/9Yzzzyjm266Kdt+NgD/e6bfkJqaqtWrV2v69OnauHGjHnvsMb3zzjuS0s7HJiQk6K233tKiRYskua+ZVLduXY0fP14FCxb83/9QALJNYmKiPvvsM40aNcraK+/pPPHy5cs1ePBgnT9/3u154nz58umdd95RkyZNsueHAfCP8xTYmJSUJElW4LwkDR48WB06dHB6HQAAGSG0EQAAZBuCGwEY9smsCRMm6OTJk1YwibuNQhLBjQA8MxuVPYWqGQQ3AvCWKeArpd+eSAQ3Ash6BDcCcHXo0CFNmjRJV65c0bvvvivJc6g0wY0A3LEHNy5evFgHDx7U888/L8nzxkOCGwG4srcXW7duVbVq1dJ8XxLBjQC8cuXKFc2ZM0fjxo3TI488ovfff1+S+4JXBDcC8MS0GfHx8Xruuee0adMmtWrVKk2hGtMPIbgRgCemvbAf9k7vsCbBjQDcMfd5RntO7AhuBOCJa98ho/vf2+DGTp06qVmzZm4/A0DeYuZD4uPj9cQTT+j222/Xhx9+KMn9nhOCGwFkFYIbAaQnOTlZW7Zs0RtvvKHy5ctrwoQJkpz7J/ZAE9fgRntbQXAjADtPbQDBjQA8sbcbq1atsmocpbcnluBGAK5cw5Hefvtt1a1b1ykYyXVPLMGNADyx73VNb98JwY0APLG3GbNnz9a+ffusmgOe6joS3AjAE3tw49KlS3XgwAH16NFDkuf5WIIbAXiSmJioefPmafTo0RmeJya4Ebh+eQpsNPXTTFvhcDjUpk0bq06jfZ8JAAAZIbQRAABkK4IbARgZBSAZBDcC8IanjUGenkdwI4DMyii40eFwWEFJBDcC8FVGwY2lS5fWe++9R3AjcB05c+aMoqKiJGU8p0JwIwB37Icj3IW+ukNwIwBXru2Gp3aE4EYA3rh8+bI2bNjgVcGrpUuXaujQoR4PWuXPn1/vvvuuGjZs+L//QQBkK3uwwNy5c9WzZ0+n7xsENwLIiK8FqQhuBJBVCG4EkFUIbgTgysyHXLlyRaGhoZLS33NCcCOArEJwI4D0JCUl6eDBg7r11lslue+fENwIICsR3AjAE3/2xBLcCMCVve3YtGmTatasmeb7rghuBOCJ/X5P794nuBGAJ/7UdSS4EYAn9mAk02ZktBZDcCMAT65cuaKNGzeqTp06ktI/T0xwI3D98RTYmJSU5PQ80zd54IEH1LVrV9WoUcPaHwsAgDcIbQQAANmO4EYAhrebeAhuBJCVCG4EkFUyCm6Uri3yE9wIwFcZBTeWKlVK48ePJ7gRuM54E1IvuQ9uDAgIUHBwMMGNAHxCcCMAf9n7Lb/++qtiYmIyDG5s27atypYtm81XDiA7eFPwaunSpRoyZIji4uIIbgTgxNsiegQ3AshqBDcCyCoENwLIKp6CG82ajiRVrFhRnTt3JrgRuE7Y+w3e7DkhuBFAVkkvuNHsZSO4EUB6/QiCGwFkJYIbAWQWwY0A0uPt/jU7ghsBZBbBjQA88aeuI8GNALISwY0AMuLNeWKCG4HrR0aBjWafqnR1zsPsia9Ro4Z69OihWrVqWftLAADICKGNAAAgRyC4EYCvCG4EkJUIbgSQVTIKbnQ4HFZxCYIbAfiK4EYAvsoouFGStSmJ4EYA3iK4EYC/3AU3LlmyRMnJyQQ3AvAawY0AshLBjQCyGsGNALIKwY0Asoqn4EYzFytJlSpVUqdOnQhuBOCE4EYAWY3gRgCZRXAjgKxEcCOAzCK4EUBWI7gRQGYR3AggswhuBPBPIbgRgL8IbgSuL54CG02dNMO0DWasYvoVNWvWVPfu3QluBAB4jV2FAAAgR4iKirIC1UqWLGkVpzEDX0lat26dYmJitGrVquy8VAA5hJkck6Q6deqoQ4cOqlOnjqSrByXMIarAwEAdP37cCoY9depUtl0zgJwrMDBQqampyp8/v7p166bHH39cpUqVknR14t7eJ9mwYYOmTJmiDRs2WJPzAGCY9kSSWrZsqWHDhqlAgQJWoLTZyBwcHKy4uDj17dtX69aty+arBpBbtG3b1gpcM6Em0tX5k8DAQB05ckR9+/bVr7/+mp2XCSAHsfdN2rRpYwW/2gvXJCUlKSQkRPHx8WrXrp127drltBkJAFyFh4frzTfftAr32udjTb9k2bJlevnll5WYmJidlwogh7Gv7dxzzz3q0KGDHn74YeuAlem7BAUFKS4uzjokfuDAgWy+cgA5ib0tadKkiUaMGKHIyEhrDlaSNQd7+fJl9evXzyqGBQCuzBxIvnz59Oqrr6p58+YKDw+XlHadeOXKlXr33Xf1119/ZeclA8jhQkJC9MADD6hnz56qWrWqpKt9k4CAAGv+5NChQ5o/f75mzJihpKQkp/4NABglSpTQ22+/rXvvvddqR+zF8QICAvTZZ59p2LBhkpzXhADALiIiQg8//LBVwNc+F2v6J7///rtmzpypb7/9VpLonwCQdK1/ERERoe7du6tFixYqXry4JPfzJtOmTdOWLVuciuEAgJ19T9qrr76qjh07SnLey2bWeHbv3q22bdsqPj6evWwALCbkVZKmTJmievXqWe2DKRhuvl62bJl69+4tiXkTAO7Z+xijR49W69atncYxZh9KYGCg1q5dq4EDB+r06dPZdbkAciD7/Ee1atXUtWtXNWzYUJKc1nYCAgJ06tQpff3115o6darOnj3L3AkAt+6880517NhRrVq1kuR8hjggIEDnz5/X0qVLNWnSJB05coS2BEAapl0ICwtT69at1bZtW5UvX15S2rWd3377TbNmzdJ3331n9V1oUwDY24IaNWqoffv2atKkiVUryX7279y5c1qwYIHmzZun2NjYbL5yADldWFiYXn/9dbVu3VqS+5pJq1evVt++fXXx4sXsvFQAOYy9f9KwYUONGjXK43nixMRE9e/fX0uXLs3OSwbgJ0+BjUlJSdachsPhcApsNeHPpl+xadMmTZ06VevXr08T9AgAgDuENgIAgBzDU3CjfeBLcCMAu4yCG83jBDcC8AbBjQCySkbBjZIIbgTgN4IbAfjKm+DG5ORkghsB+MTb4Ma+ffsS3AjACcGNALKCa3Dj8OHDFRERQXAjAL8Q3AggqxHcCCCrENwIIKt4Cm40azoSwY0A3CO4EUBWSy+40RTWIrgRQHrSC24MDAx0CnEkuBFARghuBJBZBDcCyGoENwLILIIbAWQWwY0A/ikENwLwF8GNQN7nKbDR7A+x7xXp3Lmz/vWvfzn1JQhuBAD4i9BGAACQo7gLbjSTYwQ3AnAno+BGe0EJghsBZITgRgBZheBGAP8kghsB+Mqb4MakpCSCGwH4xJvgxuXLlxPcCCANghsBZAXX4MYRI0YQ3AjAbwQ3AshqBDcCyCoENwLIKukFN5rxDsGNANwhuBFAVksvuDE4OJjgRgAZSi+40d5WmODGPn36SGLeBIB7BDcCyCyCGwFkNYIbAWQWwY0AMovgRgD/FIIbAfiL4EYg7/IU2JiUlCSHw+G0R2TgwIEaOHCgxo8fr7Jlyzr1JVJSUghuBAD4jNBGAACQ47gLbpREcCMAj9wFN9atW1cSwY0AfEdwI4CsQnAjgH8SwY0AfJVecGNQUJACAgIIbgTgM4IbAfjLU3Cj6XsQ3AjAG+6CGz0dtCK4EUBGCG4EkNUIbgSQVQhuBJBVPAU3mrlYieBGAO4R3AggqxHcCCCz0gtutM+NBAUF6YcfflDv3r3TPAYABsGNADKL4EYAWY3gRgCZRXAjgMwiuBHAP4XgRgD+IrgRyHvSC2yUnPeGDBo0SJ07d5Yk3XHHHfrggw+cghvNWIXgRgCALwhtBAAAORLBjQB85Rrc2L59e9WpU0cSwY0AfEdwI4CsQnAjAFf2/oJ9Id+fwwsENwLwVUbBjeZrghsB+ILgRgD+chfc+MgjjxDcCMAnrsGNw4cPV0REBMGNAPxCcCOArEZwI4CsQnAjgKySXnCj6Z8Q3AjAHYIbAWQ1ghsBZJan4EYz/2oPbly2bJn69OkjiXkTAO4R3AggswhuBJDVCG4EkFkENwLILIIbAfxTCG4E4C+CG4G8w1NgY3JysgICAtIENnbq1Ml6nSRVqFCB4EYAQKYR2ggAAHIsghsB+Mo1uLFDhw6qW7euJIIbAfiO4EYAWcWb4EZTXILgRiDvcS3oYPoPknNoo2kPfD3AQHAjAF+lF9wYHBwsSUpKSiK4EYBPCG4E4C9PwY3BwcEENwLwmmtw44gRIwhuBOA3ghsBZDWCGwFkFYIbAWQVT8GNZk1HIrgRgHsENwLIagQ3AsgsT8GNktIEN/7www8ENwJIF8GNADKL4EYAWY3gRgCZRXAjgMwiuBHAP4XgRgD+IrgRyP08BTYmJSVJurpu6ymw0ex1lwhuBABkXoCDWXAAAJDDnTlzxgpWO3r0qDUwNgNgSXrwwQfVoUMH1atXLzsvFUAOYQ50S9KaNWsUExOjNWvWSLo68WYm01NTU1WiRAkrILZYsWLZedkAcigzMX/58mVNmzZNCxcu1JEjRyRdPaBp75Pcd9996tGjh+677z6nQCYAkJwX+v773//qzTff1KVLl6yCVw6HwzowHhERofHjx+vBBx/M5qsG4C/7uES6Wsxu79692rBhgw4fPqz4+HhdunRJd911l6KiolS/fn2VK1dOpUuXtl7jukEgPXPnzrWC10y4iSRr7FOqVCmNHz9e99xzTxb+lAByM3sb8/nnn1sBsPY2JDg4WElJSQoPD9ecOXN0xx13OG1KAgBX8fHxGjZsmFXA18zHStf6JQ0bNtT48eOVL1++7LxUADmMfQz166+/KiYmRosXL7b6HqbvkpKSooiICOuweNmyZbP5ygHkJPa2ZOnSpRoyZIji4uKsOVjp2kGN/Pnz691337WKYgGAK9MPSUxM1OjRo/X1118rPj5eUtp14vr166tfv3667bbbsvOSAeRwSUlJ+umnnzR58mRt27ZN0tW+icPhsOZPypQpoyeffFKdO3dWSEhImvUmAJCk48eP65VXXtHGjRutdsR+PNDhcOipp57Sm2++Kcm3dWcA15e4uDgtWbLEKuTrus9ekipVqqROnTqpWbNmktLuhwFwfTL9i7i4OE2dOlVfffWVTpw4Icn9vEm3bt1UvXp1q2AW7QgAV/Y9aaNHj1Z0dLQk571sZo3n9ttv19y5cxUeHs5eNgAWE/YqST169NCqVaus9sHeVqSkpKhRo0b66KOPJDFvAsA9e7vx6quvatGiRU7jGLMPJTU1VbVr19bYsWNVtGjR7LpcADmQff5j69at+uSTT7R8+XJJclrbcTgcKlasmJo3b67u3burSJEizJ0AcOuPP/5QdHS0vvzyS0nOcyYOh0ORkZFq0qSJnnvuOZUqVYq2BEAapl1ISEjQokWLNHfuXO3Zs0dS2rWdypUrq3379mratKnVd6FNAWBvCzZv3qxZs2Zp6dKlVvir/exf4cKF9e9//1vPPPOMbrrppmy+cgA5XUJCgt566y0tWrRIkvuaSXXr1tX48eNVsGDB7LxUADmMvX+yfPlyDR48WOfPn3d7njhfvnx655131KRJk+y8ZAC6tk/j4MGDeuaZZ6zARhOo6G1go92ff/6pF198UQcOHLD6EmasYvoVNWvWVPfu3VWrVi1rfwkAAIQ2AgCALJHeonpWHFgguBGArwhuBJCVCG4EkFUyCm6Uri0WEtwI5F7mXr906ZJ2796tTz/9VGvWrNHp06c9vqZQoUIKCwtT9+7dVblyZVWuXNnnzyW4EYCvMgpudDgcCgkJIbgRgE8IbgTgL3fBjUuWLFFycjLBjQC85hrcOHToUI8HrQhuBJARe3DjmDFj9NVXX3kMbqxXr5769+9PcCOAdBHcCCCrENwIIKt4Cm40c7ESwY0A3CO4Ebi+mXN55p5OTU3N9H4yghsBZBbBjcD1y5cxhrf3PMGNADKL4EYAWY3gRgCZRXAjgMwiuBHAPyUhIUHDhw/XwoULJbmvmVSnTh29//77BDcCcEJwI5A77d+/X23bttWZM2eswEaHw6Hg4GCfAxsNghsBAP4gtBEAAPjFdQH97NmzSkpK0tGjR61C3jfeeKMKFCigsLCwdF/rLXfBjQ6Hw+kwOMGNAOxcgxtnzZql1atXSyK4EYDvCG4EkFUIbgTyNnMw++TJk5o+fbrWrl2rv/76yypMYxbzTbEaSdb8hgki+de//qWuXbuqVatWPn8+wY0AfJVecKPZxERwIwBfEdwIwF8ENwLICgQ3AshKBDcCyGoENwLIKgQ3AsgqnoIbzZqORHAjAPcIbgSuH+Z+9/be9Xf8QXAjgMxKL7jR3jalpKSocePGmjBhQprHAOQurv2TY8eO6fLly4qNjZUkRUVFqUCBAipRooRT3RNv+jUENwLILIIbAWQ1ghsBZBbBjQAyi+BGAP8UghsB+IvgRiB3uXz5sl555RX98MMPCg4OlsPhUEpKSqYCGw13wY2SnPIrCG4EANgR2ggAAHxiBqnm788++0x//fWXFi9erKSkJMXFxVkTUsWKFVPBggVVv3593XPPPWrYsKHy5ctnTXj7c3jBXXCjJKeFfoIbAdgR3Ahcv9xt9svsBkCCG4Hrk/2ApTlImdlNxQQ3AnmTaS+OHDmi/v376/fff1dSUpICAgKs+RRJ1n1uLz5lAh2Tk5MVGRmpjh07qkePHn71IwhuBOArghsB/BMIbgSuT1lxCNtdcOPixYutvgfBjQC84RrcOGTIEMXFxRHcCMAvBDcC16d/Yt+JQXAjcP2wB5uY/SZS1rUnBDcCkJQl67YENwLwF8GNQN7mep8eP35c+/bt0++//66///5bknTlyhUVKlRIVatWVYkSJVSrVi0rNM2fMUh6wY3JyckKCAgguBFAunwJbmzUqJE++uijNI8ByPnsZ3GSkpK0YMEC/f7771q9erWSkpJ0/vx5SVL+/PkVEBCgihUrqmLFinr88cdVsmRJr/sPBDcC1yfTxmRF/4DgRgBZjeBG4PryT+xhI7gRQGYR3Ahcn1znSU6cOKHk5GTFxsYqODhYkZGRCg0NdbrXfZ1bIbgRgL8IbgRyj5SUFK1Zs0YxMTH66aefJEn58uVTYmKiJP8DGw2CGwEAviC0EQAAeM1sKD579qyWLl2qxYsXa/369dbjwcHBCggIUHJysrXwbgp6S1KtWrVUpUoVde3aVeHh4X5fB8GNQN7mbkLMfnDCn007rsGNMTExWrNmjSSCG4G8xPRVfGkr/DmUTXAjkPelt0CXlZuICW4E8hbTrzh06JC6deumAwcOWO2FvbCDPbzRfG0vTJOcnKzGjRtr3LhxCgsL8/t6CG4E8jbTnph72hxiyKpQaXfBjQEBAQoODia4Echj7HOvkrL8ECfBjUDeZA8b8KaN8KctcRfcuGTJEiUnJxPcCMBrrsGNQ4cO9XjQiuBGABlJL7gxICDA6dAWwY1A7uQ612nmMC5fvqyAgACFhoZa6zr25/hbpJPgRiBvcm0XLl++rPz58+v8+fNKSkpSVFSUkpKSFBoa6vS6zNzfBDcCeZNru3Dq1CldunRJsbGxCgwMVGBgoIoXL64SJUqk2V/i731OcCNwffgnivsS3AjkTebevnTpko4ePao5c+bo559/1r59+9J9Xc2aNVWhQgV16NBBN910k3WP+9JHSS+40bQnBDcCeYfr3rWsmLsguBHI28zv/PPnz2vFihX673//q59//tl63MyTSrLO6Zjxxy233KI77rhDL774ov71r3/59HkSwY1AXuRrLRN/+gsENwLXJ/tYJ6vHGgQ3AnmXpzlOc5bG3b2cmf4JwY3A9SG9dsLffgrBjcD1w/V3/xdffKFdu3Zp2bJlSk5O1smTJxUUFKSwsDAVKFBAVatWVYUKFdSmTRsVLlzY5/VbghsB+IvgRiD3SElJ0c8//6wpU6Zo48aN1vczG9hoENwIAPAWoY0AAMArZiH/6NGjevPNN/X777/r9OnTVsEps4nYdSOiedwe3njbbbepZ8+eqlatmkqWLOnX9RDcCOQdrhuFUlJSlJqaqkuXLlkbhVwXxPw5QElwI5B3uS7o79mzR4cOHdK2bdt08OBBa+OhJN1555268847Va5cOd18880e3yMjBDcCeZNrW7Bz507t379fa9as0dGjR5WYmKiLFy+qYMGCuueee1SiRAk1bdpU+fPnV0REhMf3SQ/BjUDeYO7lw4cPq0OHDjp8+LC1UG/uYTNnUq5cOQUGBiooKEgXLlzQ0aNHnd6rXLly+vTTTxUZGZnpg1gENwJ5h6/tgb/tR0bBjZIUEhJCcCOQi7m2D/Hx8cqXL59OnTqllJQUFS1aVElJSYqMjHR6XWYOUxLcCORdFy5c0OHDh3X06FHt3btXiYmJKlCggIoUKaLChQurevXqCgwMVIECBazX+NKeENwI5H3+zqX6+xlLly7VkCFDFBcXR3AjkMd5ajMyO4eRXnCj6zoxwY1A7uHaJ9m0aZMOHz6stWvX6vjx47p06ZICAgKUP39+FStWTA888IBKlCihevXqWa/1t30huBHIO1zvzVWrVik2NlYrVqzQ2bNndfbsWSUlJalYsWLKnz+/7rvvPt16662qU6eOChcunOnAIoIbgbzDPu8ZGBioOXPmaPfu3VqyZIlSUlKsMYgkRUREKCIiQtWqVVPt2rVVq1Yt3XDDDZL8X9shuBHIe8x4xZt71TzHn74CwY1A3mLajpMnT2rGjBlas2aN/vrrLwUGBio1NVUhISHWPS3J+r4k6+/ChQvriSee0IMPPqhatWr5fQ1S2uBGsy+X4EYgdzL9Bm/7AP72FdILbrS3FSkpKWrcuLEmTJjgdH0AciZz/x47dkyjR4/WL7/8ouPHj7uteyJda0NMf8XMm95999167733vN5rRnAjkPclJSXp4MGDOnHihPbu3WvN0ZYuXVpRUVG6/fbbnfbD+orgRiDv83Wsk9mxB8GNQN7ieo/u2LFDhw8f1qZNmxQbG6vExEQFBQUpODhYZcqUUY0aNXTjjTeqUqVK1mt8bVcIbgTyLte1kqSkJKWmpurChQsKDAxUYGCgIiMjne7jzNZ1JLgRyJvse0FWrlypr776SmvXrrXmWwMCAqw/9vVj6eoe+GbNmqlx48a6++67ffpcghuBvOl/fZ6Y4EYgZ0tOTtbGjRs1ceJEbdmyRQMHDlTnzp0lZc2+DXfBjWasQnAjAMAgtBEAAGTILKIdOnRIPXr00L59+yTJmhz31J1wDW80g9Lk5GQVLVpUNWrUUNeuXVW5cuU0z/cGwY1A7uZ6z69du1aHDh3SihUrdPr0aV2+fNk6pHnLLbfojjvu0N133606deooLCws059JcCOQN5jJ9EuXLmnPnj36/PPPtXbtWh07dizd15UtW1bVqlVTq1atdPvtt6tIkSJ+h6AQ3AjkDeaejo+P165du/T5559r1apVOnfunPUc+yKbUapUKZUqVUqdOnVSpUqVVKJECUm+bUYkuBHI3cw44+TJk+rTp49++eWXNIGNEREReuSRR1S7dm3VrFlT+fLlU3BwsE6ePKldu3Zp6dKl+vHHH3XlyhVFR0erSpUqWVY0huBGIHdznT/5+++/tX//fm3YsEGHDh1SUlKSLl68qKioKN11110qU6aMGjRooMDAQOXPn996vb8bFwluBPIO13Zg8eLFio2N1bJly3ThwgWdPn1aqampioyMVEhIiO69917dfPPNevTRR1WkSBGnNsUfBDcCuZ/pI1y5ckWnTp3SZ599ps2bN+uXX36x7mdXt912m4oXL66OHTuqTJkyKleunM+fS3AjcP04cOCAEhIStG/fPjkcDhUpUkQBAQEqV66cbrjhhkyNN1yDG4cOHerxoBXBjUDu5DpeOXfunIKCgnT8+HFdvnxZhQsXVuHChSVJ4eHh1vP8ObxFcCOQt9jXibdt26Yvv/xSK1asUEJCgsfXmDnXunXrqkaNGnriiScUFRVlPe7rHArBjUDuZ/oHFy5c0Pr16/XNN9/ohx9+8LjH3q5y5cq69dZb9cILL1hzsZJ/YQQENwK5n2lPzp49q++++05LlizRxo0brf6HKQZh+ghBQUFKSkqyXl+5cmVVrlxZvXr1UqFChRQcHOxXe0JwI5A3uN6X+/fv16FDh/T777/rwIEDVuEpSbrjjjtUsWJFa0+sp/fICMGNQN5g+iSHDx9W37599eeffyoxMdEKO3LdT29ninOavWbBwcGKjIxUly5d1LFjR6s/4+09n15wo7kOghuB3MP13o+Pj9eePXu0Z88e7d2712pDwsLCVLNmTRUpUkQVKlSwnu/Pve1LcGOjRo300UcfSWLeBMipzH0bGxurF154QTt37pR0re6JJGtO1HzPzGmYNsj0aZ588kkNGjTIpz2rBDcCeYf5XZ+YmKgLFy5ozpw5+uWXX7R+/XpJcrvGU7FiRZUrV07PPPOMSpcubZ0lNs/3NYya4EYg74qPj1dsbKxiY2O1d+9eJScnKzAwUCVLllRUVJQqV66s8PBwpyLg/t7jBDcCeYPpm1y8eFE7d+7UwoULtWrVKp05c8bjawICAhQREaE6deqofv36qlOnjiIjI33+bIIbgbzF9b5csWKFDh48qB9++EHnzp1TQkKCFVRyyy23qFy5cqpatarq1KnjNIfhy/1NcCOQd5n50OPHj2vcuHHatm2bjhw5Ys2xmrlQe01q832zhhscHKz77rtPb731lkqXLu3T5xPcCORtf//9txISErR37145HA4VLlxYAQEBuvXWW3XDDTcoJCTE7/cmuBHIPZKTk7Vu3TolJCTokUcekZS1+zUIbgQAZITQRgAAkC4zSI2NjVX79u119OhRa4BpBq/ma3txXdPFMM+1f89McAcHB6tEiRIaNmyY6tat69f1EdwI5E6mbblw4YI2bdqk//73v1q+fLlV+F9yDkWyF5q4+eab9dhjj6l27dpW6Kvk30ZmghuB3M0s6J84cUJTp07V+vXrnQ5o2vshkpwW8s1zSpYsqZtuukkDBgzQXXfdZR2Y8rZNIbgRyBvsG4QmTZqk9evX68CBA059EHtxCbPwbr/HJal27dqqW7euOnTo4PM1ENwI5G6XLl3ShAkTNHfuXCUmJkq6ds8WLVpUY8eO1T333KNChQq5ff3Fixd17Ngx7d69W3Xr1s3yzYAENwK5k/2g1b59+/Tpp59q7dq1On78eLqvK1u2rO6++249+eSTql69ulVIwt9QaXfBjQEBAQoODia4EcglzL0ZFxen1atX69tvv9WPP/7o9Bz7Oo7drbfeqjJlyujFF19UmTJlrHATfzY5EtwI5F6mHTl16pTmzZunlStXaseOHVbbERIS4lQQMzU1VampqVa7EhYWpltvvVXNmzfXM888Y93j3rYlBDcCeYu5Z5OTk5WYmKjZs2dr165dWr16tVJTU3Xx4kVJ14r6li5dWsWLF1fTpk11zz33OK0R+zIGcQ1uHDJkiOLi4ghuBHI51/7EggULtHfvXi1evFiJiYk6c+aMUlNTFRISosjISBUvXlwNGjTQ7bffrsaNGzutJftSOIbgRiBvsK8Tf/jhh9q8ebO1TizJGmeYdiY1NTVNoUxJuummm9SrVy9Vq1bNGof4OndCcCOQe5m25NixY3rvvfe0efNmqyiNKUxj9qtJ19oH832jVKlSatKkiZo3b667777b7+shuBHIvUx7cvToUb3++uvasWOHzpw5k26RK9MXMHMa5rEKFSro8ccfV4MGDXTTTTcR3Ahch8zv+EuXLmn//v369NNP9dNPP+nw4cMeg6WDgoJ0yy23qFatWmrWrJluu+02hYeH+9xfILgRyN1Mn+TQoUPq2LGjjhw54rR33vQFzP1sCm2a9WF7MJK93yBJjz/+uJ5++mlVqlTJp3ue4EYgb7CfwTt79qyio6O1detW/fbbb26fb0LoH330Ud1+++1q3769wsLC/Prs9IIb7X0dghuBnM3eT2nfvr2OHTuWpgC4J2YPSmhoqK5cuaKqVatq2rRpKliwoN9rxRLBjUBuZe7j06dPa/78+VqxYoV+++03a5ySL18+ax+sGfskJSVZbUmxYsV0ww03qE+fPqpataqKFCkiyb89sQQ3ArmfufevXLmiM2fOaO7cudqyZYu2bt3q8TXly5dXyZIl1b59e5UpU0blypWzHvPnPie4EcjdXGudbNiwQX///XeaWifuaieZ50RGRqp06dIaMGCAKlSooMKFC1vP9aUeG8GNQO5m2pMLFy5o/fr1+uqrr7Rs2TKn55g6AdK1Go9BQUEqWrSoWrRooVq1ajnVMvKnriPBjUDeYNqH2NhYvfjii9qxY4ckWevAkpzO49nPEzscDmufrCS1a9dO/fr186t2AMGNQO5nP0985coVzZ49W3/++adWr14tSdZ5YjO+KVWqlIoWLapmzZqpSpUqqlKlivVe/p4nJrgRyNns9+s/sU/DXXCjdO3coERwIwBczwhtBAAAHpkB68mTJ/Xcc89p+/bt1sDSTCyZCfKqVauqQIECyp8/v0JDQ3Xo0CEdPHhQFy9eVFJSktvJdfvX77//vh555BG/rpPgRiB3sW8Ueu+997RlyxbFxsa6LXZlDmma75kF/5CQEIWGhqpnz55q1KiRbrnlFkn+bWQmuBHInewL+n379tUff/xhbSi0T367Y/ol9gX+AgUKqFOnTqpfv75V7NfbNoXgRiB3s7cnL7zwgv788880fRBP4SX2jc72Tc3NmjVTt27ddOuttypfvnw+B8FKBDcC/xTX+zGzC/SmDdm+fbsGDRqkPXv2KCAgwLpXo6KiNHnyZI+B8//LgwgZBTeWLl1a7733HsGNQA7hGlL/008/ad++fWmCkUw7YvotrgUnWrVqpVq1aqlly5Y+X0N6wY3ms0NCQghuBHI4e8HwcePGadu2bTp69Kg1P2LmLez9E3cFwyMiItS4cWM1a9ZMDzzwgN/XQ3AjkPuYduTw4cMaOHCgduzYoYSEBKsPYj9MJV2bLzF/mwOcRpMmTdS4cWM98sgjVp/Gm74DwY1A3mDu+TNnzmjhwoX68ccftWXLFqc2w7Qppj9i2hEzD9ulSxdVr17dr0BFghuBvMW0KefOndOyZcv0/fffa926ddbjQUFBVtFwM4dhBAYGqlq1amrZsqUeeOABlS5d+h8Nbqxfv7769etHcCOQg7iuE+/cuVOSnMY6kvu1HDN/Yi+AVaBAAdWoUUNt2rRRo0aNPL42PQQ3ArmPvUh47969tWvXLknu96e5rhHbv2faktDQUEVERGjw4MF69NFH/b4ughuB3MfennTv3l1///23pLTtifme6z1t2hP72k9kZKRuv/12DRw4UBUrViS4EbiO2PecTJs2TevXr9dff/1ljXXsxX3N/exa3Pfmm2/WLbfcokGDBqlcuXI+73cjuBHIncy9e+TIEXXu3NkqVGXCzlyDkPLly6fExEQr/MhwHYfY97Tdf//9evLJJ/Xoo49a7ZI34xGCG4HczdyLp06d0qxZs7R69Wr98ccfTv0Te8ir+b79e7fddptat26tOnXq+LXekl5wo72tILgRyJnMvXj06FF169ZNe/fuTVP3JDQ0VFFRUapXr56KFCmiG2+8USdOnNCvv/6qgwcP6uDBg5KurrXMmjVLN954o999BYIbgdzL3L9HjhzRwIEDtXPnTl28eNHtOrFhn381j5k145YtW6phw4bWGrE/e2IJbgRyL/tY59NPP9WPP/6oHTt2OIXAmjN4Zlxh3xcbERGhIkWKqHv37qpTp46KFy8uyb9xCMGNQO5k38P20ksv6Y8//rDWcFxrndjvWft+e7POY9qVRx99VI899phq1qwpyfd6bAQ3ArmTva6jOUd85MiRNHUd7W2K/RyPmT8NCAhQx44d1bx5c91+++3Wve/rOIfgRiB3s+9l69ixo44cOWLNebo7U+wqMDBQwcHBSkxMVM2aNTV58mQVLFjQ7z4DwY1A7mU/T7xgwQL9+OOP2rp1q9NYJqPzxJ06dVKNGjWsOVhfENwIwHAX3OhaC4XgRgC4PhHaCAAA0nX58mV98MEHmj17ttNgMjk5WZGRkXriiSd0//33q3bt2k4T4JcuXdLZs2e1cuVKrV69WqtWrbIesxfgDQ4OtgpijRkzRq1atZLk+0FtghuB3MG+CNenTx/9+eefkq4ViDBFHFyL0phhi2shcenqvd24cWM9/fTTkpwPT6XHNbjRHPaSCG4Ecrr0FvTt7Yl905+nMEd72FpISIiqVaumZ555xgqTJrgRyNvs7Un79u117NixNO2JWbw3B77th8Htxadc+yhVqlTRv//9bz366KMKDw/3uT2RCG4Espp9DLBnzx6VL19eUtYUUrAfsjZ9jkKFCmnkyJFq0qRJjjlskFFwY6lSpTR+/HiCG4FsZj9o9eKLL2rXrl1pQurTC5WWnAtdhYWFqXnz5urXr58iIiJ8KnCXXnCjuSYzx0twI5Dz2Mc8vXr10u7duyW5Lxhu7nXXOVpJToeuQkND1adPH3Xs2NHvIGqCG4Hcw96OdO7cWbGxsW6Lz3j6tykYYw+3l6RSpUqpfv36GjhwoEJDQ/1a2zHBjYsXL7auk+BGIGezF7waOnSotm/frvPnz6cJgXXtY7geBJekwoUL6+GHH9bLL7+sQoUKOc3rZsQ1uHHo0KEeD1oR3AjkXKZNOXr0qEaOHKlffvlFp06dstoU8xzXdsEcojJjj4IFC6pYsWJ6/fXXVbVqVRUoUECS9+McX4Ib69Wrp/79+xPcCOQAGa0Tux72Nsycp33+RHIuZpM/f371799f7dq18+vaCG4Ecg8zD3Ho0CE9++yzOn78uNPeU9MPsBf4Ncw6i30cYu5j89wXXnhBzZs3V5kyZST5Pg9LcCOQe5j7LzY2Vh06dNCRI0esPR328Y1re2L6I/bwNXtbYZ4bFham999/3+9zNAQ3ArmLGe8cPnxYffv21R9//KGkpCSPe+klObUfrvtSoqKi1KlTJ9WrV0933HGHJIIbgbzu7NmzGjRokFatWpUmCCksLEylSpXSww8/rDJlyqhs2bJKTExUUlKS1q5dqxMnTuj7779PExIryakNuvvuu9WmTRs98cQTPhX0Ti+40exlI7gRyHns/ZP+/fvrzz//VEJCQpp1YjvTHzBzJ/Z2qESJEurXr58aN25sPd/bdoTgRiB3O3funAYPHqwVK1ZY8xOmfShSpIh69+6tatWq6c4770zz2t27d+vHH3/U/PnzNXDgQDVu3DjT9zbBjUDuY18n7tKliw4dOpTunlhPNU+ka/vLAgMDVaxYMT311FPq1auXT9dDcCOQu9n3xA4YMEA7duxIM9aR3Lcr9n+bx5s0aaKHHnpIrVu3dnp/XxDcCOQu9r5Jh7zp8a4AAQAASURBVA4drLqJ7vawSdfWf814yHU+xfRPQkJCVLZsWXXv3l0tWrSQ5P3cCcGNQO5kb0969+6tXbt2SfJc19FwresoXWtrqlWrpgYNGqhz585O54szQnAjkPuZ+/To0aPq2rWr9u3bl2bdOF++fAoNDVW9evVUuHBh3Xjjjdq9e7dOnDihn3/+2Vq/veWWWxQTE6PixYtnes2W4EYg97HPnQwZMkQ7duzw6jyxYT9PHBkZqcaNG6tfv36KjIz0+zwxwY3A9c1dcKPkvK+N4EYAuP4Q2ggAANwyk0r2BTj7oaWiRYtq3LhxaYpVmc3NZrLdvM+MGTP03Xff6ffff5fkPMltnwj74IMP9PDDD/t1zQQ3AjmbvUCNKXZlL9pgNgqZ9sEMVczCm+vGYvN9SYqKilLTpk01ZMgQSd5vPnQNboyJidGaNWskEdwI5FTmvj169Kg6derkNOFt71MYYWFhSkhIcPqea6Ea6dpEeWBgoAoXLqznn39ezz77rCSCG4G8yrQnx44dU+fOnfX33397bE/CwsKUP39+Xbp0SeHh4Tp9+rT1mL1ouNkkaO71m266SQ8//LC6d++uyMhIghuBbGTv+0dHR+vtt9/WsGHD9OSTT0rKXCGFTZs26bnnntPFixet93A4HGrVqpX69++vqKiorPkhsgjBjUDOltFBKzOusBfpthfhlK4VDHc9SPHAAw+oU6dOqlmzpsLCwrIsuFGSQkJCCG4EcpjMFAy3r/PYwxTN+0pSu3bt9PTTT1thIwQ3AnmPaQcOHz6s9u3bpykU7q6orzv2+9v1dTVr1tSUKVNUoEABr8dl7oIblyxZYq0lEdwI5Ez2sc7//d//af/+/ZKcD3fb5z4dDofV3tiDpu1haw6HQzVr1lSHDh1Uq1YthYeHE9wIXCfsbUrPnj21d+9eSe4D6l3XcVyL/JrxR3BwsJ599lk9+uij1tyot/0TX4Ib69evr379+hHcCGQj+zpxly5d3BaSMMLCwqzC/leuXFFKSoouX75sPe66ziJdmzvp0aOHnn/+eYWGhvp8jQQ3AjmfueeOHz+ubt266a+//vLYltxwww0qWLCg8ufPr8uXL+v06dO6cOGC9bhr0U7765944gk9/fTTqlixotPneovgRiD3OHnypHr16qXffvstTXsSHBys1NRU1axZUwULFlRYWJhCQkJ08uRJbd++Xampqbpw4YLTOMd1fiMoKEgjRozQY489ppCQEJ+vz1Nwo33Ol+BGIPvZ50w6deqkw4cPp9lzYu5d87W9OKan4r5hYWGqWbOm2rVrZ53H83U/LMGNQM5n7tf58+dr/PjxOnPmjNN54iJFimjAgAGqXLmybr31Vo/vs2LFCq1bt05ff/214uLiPBa4uu2229S+fXs98cQTPhXTSy+40fW8MsGNQPaz9086d+6s2NhYt8FIpl/geo7YPG7vyxi9evVSs2bN9K9//cvpeRnxJbixcePGmjBhgiTmTYDsZNZH5s6dq8mTJ+v06dNp6p5MmjRJlStXdnqNfQxkxMbGKioqyqqPklkENwK5h31PbIcOHXT48GGf9sS6C6d37Z88+eSTGjhwoMLDw72+LoIbgdzJ3VyspxBYI6MQWEkqXLiwHnvsMat2kj8IbgRyB19qJwUEBCg8PFyXL1+2QqPtfZf0+ievvvqqOnbs6Ne1EdwI5A7/ZF3HiIgI1atXT2PGjLHO8vha15HgRiB3Onv2rAYNGqRVq1al6aMULlxYPXv2VPXq1VWpUqU0r125cqW2bdumhQsX6tVXX1XTpk2zbK2W4EYg9/DnPLG9PpL9Mft54urVq6tDhw564IEHVKhQIYIbAfiM4EYAgCtCGwEAQLref/99TZ482WnjcuHChfXRRx+pRo0aGb7evpF506ZNWrJkiWbPni3Jc3DjlClT/A5VJLgRyJnsBWq6dOmivXv3etwoFBkZqYIFC+rKlSsKCAhQYmKi4uLi3IasuYYPNGjQQB9//LHTZ3p7bRLBjUBuce7cOQ0ZMkTLli1L05YUKFBA5cuXV6NGjXTHHXeoQoUKunDhgi5evKi9e/dq1apV+uOPP3Tw4EFJcgpWct182L9/f3Xr1k0SwY1AXhUXF6ehQ4dqyZIladqTggUL6u6771aTJk1UoUIFlSlTRklJSQoKCtKGDRt04sQJzZ0712pjPG1mjoqKUqNGjdS3b18VKVKE4EYgG9j7/DExMRo1apQkqXjx4nrppZf0+OOPp3meL+bNm2cVsbQfmJowYYIaN26cFT9CGuZaL126pNOnT6tkyZI+Le4T3AjkTPaDVp07d9b+/fs9zp8EBwdbxX0LFCiguLg4p8fsh67M4XCHw6E77rhD//73v9W6dWufNiCmF9xoPis4OJjgRiCHsM/Hdu/eXbt27fLYntx0000qWLCgChYsqISEBJ05c0bHjx+3HjcHs8xmZvvrGzdurPbt2+vee+91+lxvEdwI5HxnzpxRv379tH79+jTtSGhoqIoWLaqHHnpIxYsX1y233KLU1FTt27dPx48f188//6wTJ07o8uXL1qEI+3ysaVsqVKigKVOmqESJEpkKbly8eLF1fQQ3AjmLveBVu3btdOzYMaeCV/bwIVfu1ogl53FOuXLl1LRpU7Vr105RUVF+tSVLly7VkCFDFBcXR3AjkMOZezw2Nlbt2rVzCqg39779MKad/WCnpDT3enBwsGrUqKE2bdqoadOmTp+XEV+CG+vVq6f+/fsT3Ahko7i4OL355pv69ttv04x1wsPDVb16dTVo0EBVq1ZV2bJllZCQoEuXLikuLk6LFy/Wn3/+qZUrV1rvZ5/TsM+ddOjQQc8995yKFCni8zUS3AjkfPHx8Ro5cqQWLVpkzX2YolWFChVSnTp19NBDD6lGjRoqWrSoHA6HLl++rPj4eG3evFlr167V999/bxXD8rSv/tFHH1W7du282rfvDsGNQM535coVffDBB5o9e7aSk5OtInXJycmKjIzU008/rZo1a6p27dppXnv48GHt3LlTX3zxhX766SclJSVJklOxPXuhvddee01t2rTxq4CEp+BG+145ghuB7GN+hx89elQdO3bUwYMHPa4RS1JoaKiuXLni9D0z72of45j1lqCgIBUrVkx9+/ZVq1atnD7T22sjuBHIHf7v//5Pa9asSROE9NFHH6lq1arW8+z7wsw4w7QJ8fHx2r59u1599VUdPXpU0rXAAnvfoWLFiurSpYseffRRn+51ghuB3MH0AY4cOaKOHTvq0KFD6QYjmb6I+VvyXLTT9G2aNWumxx9/3DpL808ENzZq1EgfffSR088EwHuZvW/MfZ2YmKguXbpo8+bNaeqeTJgwQTVr1ky3DfgnxxYENwK5x+nTp9W3b19t3LgxzbxJvnz5VKhQIT300EOKiopSiRIlFBQUpIMHD2rv3r3av3+/Dhw4IOlaH8X0T+x9m2bNmumVV17RjTfe6PV1EdwI5C72PbEdO3ZUbGxshiGw7vaypVc76aGHHtKIESP87jMQ3AjkDufPn9frr7/usdbJXXfdpYYNG+ruu+/Wbbfdpvj4eMXHx+v48eNaunSpdu/erd9//916P/seeHt71LdvX/Xo0UOS92M0ghuB3MF+jrhbt27666+/PK4R33DDDSpYsKASExMVEhKi+Ph4nT592qu6jlWrVtW0adNUsGBBv+o6EtwI5C5JSUmKiYnRtGnTdPbs2TTrxhMmTFDVqlWd1m/s++iN48ePKywsTBEREVl6fQQ3Ajmffe7k2Wef1dGjR7P0PHHZsmXVtGlTtW3bVjfccAPBjQB85i640YxVCG4EgOsPoY0AAOQhZ8+e9au4S3p69+6tFStWWIvkoaGheuWVV9S2bVuvN0jbJ6ZOnjypRYsW6b333pMk6wC4fTK+dOnSGj9+vCpXruzXNRPcCORM8fHxGjFihL788ktr0dzc94UKFVKtWrVUv3591axZUzfddJMuXbqkgIAAHTlyROvXr9eWLVu0fPlyq5iEfTOz+TolJUV16tTR+PHjfTpM6RrcOGvWLK1evVoSwY1ATmIW4b755huNGTNGp06dcupDREVFacCAAapevbrKlCljvc51MW3nzp1as2aNJk2apMTExDTFJeyHwF955RV17drV6fO9vU6CG4Gcy9yny5Yt04gRI3Ts2LE07cnQoUN1zz33qFSpUh7fZ+/evfr11181bdo07du3z+mQuPkcSSpUqJCaNWumvn37KjIy0q9wJIIbAf/Y77fo6GiNHj1a0tX5CIfDocKFC+v5559Xu3btfH7v1NRUXblyRe3bt9f27dud+hNVqlTRvHnzsu4HcfncwMBAnT59Wl988YV2796tjh07qnLlyj4daCe4EciZMgqpv+2229SkSRPdeuutuummm5SSkqKUlBRt3LhRx48f12effabExESr6KY5mG3mUBwOh26++Wa1bNlSzz77rN99E3fBjQ6HQyEhIQQ3AjnExYsXNXbsWM2fP9+puKYZPzRs2FB169ZVrVq1VLhwYTkcDl25ckVJSUnatGmTNm3apM8//1xXrlyxilS5Kxie2fUWghuBnMkceJg1a5YmTZqk8+fPpyl21adPH1WvXl0VKlRw+x579+7Vrl279PHHH2v//v1Wu2FfdwkMDLQKZU6bNk3Fixd3KoyX0TW6BjcuWbLE6gcR3AjkLKdOnVKfPn20bdu2NGOd4OBgBQcHq3bt2ipcuLD+9a9/6cKFC4qNjdXff/+t7du3W+/jaZxTtGhRNWrUSL169VLx4sUJbgTyKHPPnjhxQs8//7y2b9+epk0x45977rlHBQoUUEREhIKDg7V9+3YlJiZaBcIl53lR028IDAxUyZIl1b17dz311FOSCG4E8hJzP69Zs0bDhg3TkSNH0qwTDxs2TNWqVdMNN9xgvc51jjMpKUlfffWVFixYoB07dujKlSvWXlhJTl936tRJffv2VWhoqM8FqQhuBHIm05Zs27ZNgwYN0oEDB9K0JSNGjFCVKlUUFRVlvc7cu/b2ZPny5Vq9erU+++wzSe4DRqSrBX67dOmiu+++269rJrgRyJnM7+1jx47pueee0x9//JGmyNXbb7+t6tWrKzQ01HqNCYl1vVc//fRTLVu2TGvXrpXkvk0JCgrSyJEj1apVK7/6DQQ3AjnbuXPn9Oqrr+rHH39MM2cSFhamcuXKqVGjRipfvrzuvPNOXbhwQefPn9fff/+tH3/8UXv37nXa8y5du4fNPR4cHKyhQ4f6PG9CcCPwz8nKe2T16tXq3r27tZZr1lrffvttv/aFHDt2TG+88YY2bNighIQEp/A1067cf//9evnll30+S5xecKPreWWCG4Hsc+bMGb3yyitat25dmv5J/vz5FRUVpUaNGqlkyZIqV66cLl26pCtXrmjVqlU6ceKEtm7dar2XpznYBx98UE8//bQaN24sKWuCG+19nJSUFDVu3FgTJkxI8xgAz+bPn69KlSqpQoUKWXLffPTRR/roo4+s/kRqaqrCwsKsuifZjeBGIOdLSUnRJ598oqlTp+rixYuS5LQn9rnnnlPVqlU9jk327NmjDRs2aPr06Tp9+rQuX77stO/dHozUuHFjDRkyRCVKlPD6+ghuBHKXM2fOqF+/flq/fr01PjF/h4aGqkiRImrUqJGKFSumm266SYGBgTpw4ID279+vP//8U7t27ZKkNPeufd7kgQce0NChQ1WuXDm/rpHgRiDnMmOkpUuXauTIkTp+/HiafSeDBw9WtWrVnGqduI6tjh49qu+//16zZs3SyZMnndoiyXn+5OWXX1b37t3dvo8nBDcCuUN8fLxGjRqlhQsXuq3rWK9ePdWtW1f333+/ihcvboU2xsbGauvWrdqwYYOWLVumuLg4SWlD6s17VapUSRMnTlTx4sX9qutIcCOQ9Vx/32b29699X0ePHj20bdu2NGeKJ06cqOrVq2fF5WcKwY1Aznfq1Cm98MIL2rp1q9vzxCEhIapTp451njg+Pl6HDx/Wvn379Ouvv1rv4+k8cVRUlBo2bKjevXurRIkSBDcC8Jm74EbJeb2H4EYAuD4Q2ggAQB4xZ84cbdiwQc8//7zHwpgZcZ1kOnHihP7973/r5MmTVkGrYsWKadKkSapUqZLf15qQkKCvv/46TVFvIygoSI0aNdLAgQNVsmRJvz6D4EYg5zCLcD///LOGDh2qQ4cOpdko9MYbb6h69epOBwySkpIUEhJi/Ts+Pl5//vmn3nvvPe3du9ea3Jautl/2Q1B169bV1KlTrX8T3AjkLb169dLy5cvTtCVTpkxx6qO4bhR0bQ9WrVqlefPmaePGjbp06ZLbyfKAgAANGTLECnLyNcyE4EYgZ3vppZe0ePHiNO3Jxx9/rCpVqljPc21PXNuC8+fPa/Dgwdq0aZO1EdE1uLFo0aJ6/PHH1aNHD4WHh3t9jRkFNzocDmvDNMGNgLP0AhslWQcN2rZta81R+Co+Pl6tW7fWoUOHJMna3NOwYUNNnDgxsz9CGqZNOHTokD744AOtX79ep0+f1uOPP65Ro0b5/H4ENwI5h7m/v/vuO40ePVonT55M00d57bXXVKlSJd18880e3+ePP/7Qjz/+qK+++kr79+9Pc2+b/kPJkiXVpk0btW/fXuHh4VkW3Gi+JrgRyD7mPt25c6f69++vffv2pWlPRo8erapVqyoiIsJ6nb1or7Fp0yatWbNGs2fP9jh3Ikm1a9dWjx49VLNmTb+umeBGIGdKTk5Wly5dtHHjxjSFwj/66CNVqVLF6j/Y+xKu/YqzZ8/qk08+0cqVK60D2kFBQdb8q3nfChUqaO7cuSpQoIBfazsmuHHx4sXW6wluBHKGxMRETZ48WTNmzNDly5clXTu4FBkZqY4dO+ree+9VjRo13L52+/bt+uKLL7RlyxYdOHDAae1WkjXOKVSokOrXr68BAwbohhtu8OugFcGNQM6XkJCg9957T/PmzVNqaqpVtMG0Ka1atdKDDz6o+++/X8HBwdY8xpkzZ5Samqq5c+fq999/15o1ayS5DyAICAhQRESEevXqpQ4dOkj6Z4Ib69evr379+hHcCGSDfv366dtvv00zZzJ16lRVrFjRel5GxSx27typFStWaObMmYqPj7fmTuxruJLUs2dPvfTSS5J8L+hNcCOQcw0ZMkRffPGFU1tSpEgRTZkyxamgr7t70j73ce7cOa1atUqvv/66rly54jQWsc/DPvnkk+revbvKlCnj1/US3AjkXPbQAfv4ZuLEiW7nS1zZ25Q///xT33//vaZMmSLJfXBjYGCgPv74Y9WvX9+ve92b4MaKFSuqS5cuatq0qSSCG4F/mrmXv/zyS73zzjs6depUmj7KgAEDVK1atXTXSH755RctW7ZMM2fOtMY29jUde9/krbfeUps2bST5vr+e4EYga2zatMnap5FV98jChQs1ePBgp3uydevWGjBggIoUKeLTe5k+yqlTp/Tuu+9q5cqVOnv2rHWd9jbl3//+t4YNG6Z8+fL51D8huBHIucycw5w5czRhwgSdP38+Tf/kxRdfVJUqVdKtiTB37lxt3rxZ3333nSR53L9WrVo1denSRY0aNbI+P6uDGxs1aqSPPvoozWMA0po1a5ZGjhypokWLKjo6WuXLl/f7vnE4HLp06ZJeeOEFrV+/3goOSE5O1p133qlx48b9Y+utpi2x9x3Sa18IbgRytoSEBHXr1k1btmxJsyf2ww8/VNWqVZ3OBJv2xnX88Mcff+irr77St99+qxMnTjitEZt5FElq1qyZRowYobCwML/2xBLcCORM5h6MiYnRpEmT0ox1ChcurD59+qhatWq688473b7HoUOH9Pvvv1vrLBcvXnRqf+x7QmrWrKkRI0b4vfed4EYgZ3vhhRe0dOnSDGsnud6bruOr9evX65tvvtF3332nhIQEj3vYBg8ebO2J9XWfPcGNQM5j2oItW7Zo8ODBOnDgQJqxzptvvqlq1aopKirKep1rXcfLly8rNjZW48aN086dO621ZlN31nydnJysypUrKzo6WmFhYU5zq+khuBH4Z9jvra+//lply5ZV5cqVs+T37/jx4zVlyhRrbiQ1NVVhYWEaPHiwnnzyyay4/CxBcCOQcyUmJmrq1Kn65JNP3J4n7ty5s2rWrOk2BDYxMVF//vmn5s+fr02bNmn//v0ezxOHh4erXr16GjBgAMGNAPxCcCMAQJLYBQgAQB4QExOj4cOHa8WKFYqJidHu3bt9fg9zgNJ8LV09bGAmjMzfDRo0yFRgoySFhYWpTZs2VihAcnKy0wbD5ORkbdy4UZs3b3a6Hl9ERUVZgWolS5a0Dn+bRTpJWrdunWJiYrRq1apM/TwA0mcPGXINbCxSpIgmT56sJk2aWAcLTHtjFvbN/VuwYEHVqFFDb7/9trp06WId0pCuLY5JVye4V69erd69e1v/No+lxxzklqQ6deqoffv2qlOnjqSr7ZCZRA8MDNTx48etYNhTp05lyf8TkJfYizml9z1//Pbbb1q9erUCAwOtDT2FChXS8OHDValSJafPcT3EZT8YJUn16tXTK6+8oi5duigyMtKpT2I29DgcDk2cOFGLFy+WJK83JJiNR/nz51e3bt30+OOPq1SpUtZ72/skGzZs0JQpU7Rhwwa/+j0A/PPnn39q/fr1Tu1JeHi43nzzTVWpUiXd9sTeFqSkpCgyMlLvv/++OnToYIUo2TcfStLp06f1/fffa/HixUpMTPT6Ok17IkktW7bUsGHDVKBAgTQHv4KDgxUXF6e+fftq3bp1fv+/AHlFeoGNDofD+p3bokULvwMbJWnv3r3WAUsz1pFk/d5PSkrKzI+Rhglg6tGjhxYvXqzTp09LulooZ8GCBT6/nz2w0t4XMmOfI0eOqG/fvvr111+z7ocA4JbpM3z77bdpAhuLFi2qSZMmqVmzZk59DcPeb7nzzjvVtWtXTZo0STVq1LDmeM1zTP/h6NGjWrRokb788kslJCT4PNaR5HaO1+FwWAc24uPj1a5dO+3atcvp8DmAf5ZpT+bPn58msNHMx9arV88psFG6Om9inxeRrm4e7NGjhyZMmKDixYtbBe3Mc8zz165dq1mzZumvv/7y65rNWKxZs2aSrs3HStf6JcuXL1ffvn19Gk8B1wPXeVdv1kO8tWTJEiuw0cydREZGasyYMapatapT/8HT1ykpKSpSpIh69eqlAQMG6MEHH7S+b/oOZl7jzz//VI8ePXTlyhW/1nbuuecedejQQY888oi1Kdr0XYKCghQXF2cdEj9w4EBW/TcB8MKVK1e0bt06JSQkSJLTWOejjz5S9+7drQACU2jGtAHBwcGqVq2aBg8erMmTJ+vee++1ikjY24mAgABduHBBq1at0sSJE3XmzBmnNiI99uc1adJEI0aMUEREhNNBLtNWXb58Wf369bOKYQH43zH36YkTJ7RhwwZrzsPeprz//vt64YUXVLduXeXLl89a73U4HIqKilKxYsX0wgsv6J133tHw4cNVsGBBa7+JfU+Iw+HQ+fPn9fHHH+vzzz+XJKeDl+kxcyD58uXToEGD1KJFC4WHh0tKu068cuVKvfPOO36PpYDrTVbsO3E4HDp8+LA2btzotE5csGBBDRkyRBUrVnT6HNd5U/shb0m666671K1bN7399tvWvhOzZmQvSDN58mTNmTNHkvftiRESEqIHHnhAPXv2VNWqVSVd2+9r5k8OHTqk+fPna8aMGUpKSvK6HwRcj7KqLTlz5oy2bdvmNP9aoEABDRw40Cp8Y7hbg7Hvmy9cuLBatmypmTNn6qabbrL6DNLV/oNpS+bPn6+vv/7a75+lRIkSevvtt61xlVkzsl/nZ599pmHDhklyXhMCcM2ZM2ey/D3//vtvBQUFWQUe8uXLp+eee05VqlTx6vVmrlWSKlSooD59+mjIkCGSnANIzNepqanq16+fduzY4XPfRJIiIiL08MMPWwV8XffZS9L27ds1Y8YMffvtt5JE/wT4h5l7b/HixWkCG01x39atW1uFvV1/x5v9HFWqVFH//v01btw41apVS6GhodbcqJmTNW3K8OHD9d///leS9/e46V9ERESoe/fuatGihYoXL25dk+u8ybRp07RlyxZrLyDtCHDNzJkz1b59ew0fPlySf79r7Xu5TLuwc+dO6/3M4/Xq1fM5sFG6dp6vWLFiGjBggFq0aGEFiZjPNPf8ggULNGvWLElp9+1n9BnmOl999VV17NhRknMfyLRju3fvVtu2bRUfH89eNuB/wMw7LF++PE2ISdGiRTVx4kQ9/fTTVmBjSkqKUx0Ac4+2bdtWr732mkaPHm2FDLhrR7Zu3ap58+Zp/fr11ud7wx5cMGXKFNWrV8+pCJ/9zPKyZcusM8vMmwCeRUdHa+TIkZKunqXr3r279uzZ49cchHT1ft61a5fWr19v7Scx923Tpk3/8cDGuLg4/fjjj9qyZYt1PZ7Y+xijR49W69atnX5m+1nDtWvXauDAgdaZIABX/ZN7Yr/55hsrsNG+J3bcuHGqXr2601jEBBBJaWsT3HnnnerevbtGjBihcuXKWWdpzP4T8/xvv/1Wo0aNst7D1z2x1apVU9euXdWwYUNJclrbCQgI0KlTp/T1119r6tSpOnv2LHMnwP+I2Q+yYsUKt2OdSZMmqW3btlZgo/3eN1+XKVNGTZs21ccff6zOnTvrlltuceon2PeEbNq0SW+99ZbOnj0ryfcabHfeeac6duyoVq1aSXI+QxwQEKDz589r6dKlVoAkbQmQsazad7Jr1y6tW7cuTa2TN954I03tJNdxiD3oVZJq1aqlPn366JVXXlF4eLhT/8Q+Vzpq1Chr34m3cyemXQgLC1Pr1q3Vtm1blS9f3vp8+9rOb7/9plmzZum7776z2jLaFOCfY9qCL7/8Mk1gY5EiRTRp0iQ1atTICmx0reto/p0vXz6VL19eY8aMUY8ePay9b/b99Wad+LffflPXrl2ttsWbvom9LahRo4bat2+vJk2aWGtR9rN/586d04IFCzRv3jzFxsZm+f8ZkFe41lN65ZVX9Nprr+mPP/7I1O9fszd206ZN1pjEfM4dd9yhmjVrZtnP4O6zJd/mgsLCwjR06FA9/vjjktzXTFqzZo1eeuklXbx4MesvGoBHiYmJWrt2rdvzxBMnTtT//d//WYGNrueJg4KCVLlyZb366quaOnWqHnzwQY/niePj47V69WpNnDjR2jPn63nihg0batSoUYqMjHR7njgxMVH9+/fX0qVLs/T/CEDOUKFCBX3wwQcqW7asU1/C1EKRpE2bNmnq1Klav369tU4NAMhbCG0EACCXi46OtjbqJScna+nSpZoxY4Z1QMob9oHg+++/r4kTJ+rKlStyOBxKSEiwFuAlWYtvWbG5sWXLlurfv7917WYBMDAwUGfOnNF//vMf6/P9mfwnuBHwjbv7LCvudYfDoZMnT2rTpk1WQQlToOa1117LsECNaRvM5Hbp0qXVvn17vfbaa6pUqZJTcKNZxDeHoEaMGGG9h68T6HXq1FGHDh0IbgR8ZF/QX79+vbZv3y4p6wquHD16VElJSU7v9cADD1iF6bzZGGi/lltvvVVPPfWUXnjhBUVFRaVZeJekc+fO6dNPP9Xvv//u07US3AhknaVLl2rfvn1Z+p6nTp1SXFycU3+natWqqly5siTvNxqbA5UhISHq2bOnOnTooLvuukuSnA5rS1JsbKy++OIL62fxtq+VUXCj+SyCG4GrMgpsNL+HW7RooXHjxknyf+yTlJSklJSUNJt7zOK6vdhmVjh16pRGjhypffv2WW2AGWf98ssvknw/8EFwI5A5WXkIfNu2bfrpp5+cDoGbILN77rnHY6i0a78lNDRU5cqVU3R0tJ555hlFRkY6Xas5pH3w4EF9/vnn2rx5s09tR3rBjeYAF8GNgH+yaj720qVL+u2335wOWoWFhalfv35p5mPdsbcxBQsW1IMPPqg5c+borrvuSlMw3PQdli5dqs8++8zvn4XgRsB39rHPjh07lJCQ4HdxK3eOHj0q6VqbEBQUpNatW1vBat4w67xhYWGqXbu2Xn31VTVq1EhS2uDGoKAgbdq0SePGjVNSUpLXxTjdBTc+/PDDBDcCOciCBQv066+/OvVNIiMj9f7776tmzZrWOEKSNR6y7x+RrvYVzDina9euuummmyTJOghuXhsXF6dly5Zpzpw5io+P97mghERwI5BTmXtxwYIF2r17d5rCEh9++KFq1aqlggULpnmda8haZGSknnzySU2cOFENGzZUeHi4054Q8/zz58/rP//5j7777juna8iIL8GNq1atIrgRSMc333zjdA9mdrwTEBCgY8eO6eTJk06/5ytWrKhq1apZz/HmfYz8+fProYce0uTJk1WkSBElJSW5DW585513tGzZMq8/w47gRiBzoqOj9cUXX0jKurbk5MmT2rt3rxUQLUm33HKLT22JncPhUNWqVTV+/HhVrlzZWtuWro1FJOnDDz/U4sWL/foMieBGILPmzJmj3r17+3RWx5W9DXI4HDp79qy2bt1q7TtxOBwqUKCAqlWr5jRnkhH7vRwcHKxnn31WY8eOlXR17dZeRCI4OFgXL17UmDFjFBsb61d7kl5wo/ms33//XTNnziS4Efgf2bx5s9asWeNU3LdQoUIaOXJkmjVi1zUYc9+a3/tNmzbVgAED1L59e4WFhaUJPwsMDFRSUpLee+89rV69WpL3fROCG4HMi46O1pgxYyRd7Z+YPbK+/E63nyfet2+f1S6YAABzL5YtW9ZaH/bn/jP3fJEiRdSzZ081aNBAYWFhboPqp0+fboWt+SK94Eb7ejTBjYB3svJ37ffff6/169c77YmNiIjQuHHjrDkUw+yHl2StAZlrKVq0qFq3bq3Zs2erUqVK1ryJazDSunXrNH/+fP39998+XaevwY19+vRJ8xiAq1zP74SGhurIkSNq3bq1jh8/7te8qST98ccfTv2GoKAgBQcHW2cAs3qcYNaQjh8/rkmTJuntt9/WtGnTdOzYsQxfS3Aj4D/7fo1du3ZJytrft8ePH7feU7raTrVp0yZNv8QTextWpEgR1a1bVxMmTNBtt93mdB7P3l7Nnz9fEydOtD7X13onBDcCWScr++5LlizRxo0b04TAjhkzRlWrVnVqL1wDYQ2Hw6EyZcqoU6dOGjlypKpUqeK0D8Rcb2BgoNatW6fBgwdL8j4E1o7gRiDzVqxYYc1dZuUetosXLzrtYbv33nt92ndib1duvPFGtW7dWm+99ZYiIiKcghvt+06mTp2qTZs2+Xy9BDcC/nOdF7D/ndn3PX/+vLZt2+ZU1zEsLEyDBg3KsK6j+bcZq0RFRempp57S4MGD9cADDzgFN5ogpeDgYG3dulWDBw92OheYEYIbgazjqZ7S33//rddee007d+70ay+YdPVe3bNnj7Zu3Wq1AWaus2nTprrllluy5GdwZX6muLg4bdiwQXv27PH6tQQ3AjnTggUL9Msvv7g9T1yjRg2nemyu54nNYwUKFNDNN9+sTz75RD169FCZMmUkpT1PfOHCBS1fvlyzZ8/2+zwxwY3A9c1dcKPrfhSCGwEgbyO0EQCAXMx143JwcLDi4+O1aNEiKyApI/YDVkOHDtXkyZP17bff6tNPP5V0dTHeTJYHBARYE1X+TsbbhYaGqnXr1urcubN1LWbiyhyCmjx5stPigK8IbgS8Y7/PvvnmG82bN09S1mxkDggI0NGjRxUbG+t0mPH2229XlSpVrOd4+17S1Un0++67T8OHD1eNGjWcDimYzTwBAQH6/vvvrfbMnwl0ghsB39jbkhkzZqhz586aPXu2/vzzT0m+bz50dwB69+7dkmQV3JakBg0aWMHS3rK3CTfccINatmypQYMGpQluNO3Kli1btGLFCqdgAm8Q3AhkXkxMjF544QW9/vrrfhfTd3dPHTp0yBp7mMcbN26sEiVK+Pz+5pBDcHCwnnnmGafgRvvBCEn65Zdf9J///Mf6nrdtCsGNgHe8DWxs3ry5U2Cjt2EgrvLly5fmsJQkxcXFSUpb4CqzChcurPvvv1/58+d3CjFKTU3VwoULtWPHDr/mUAhuBHy3bNkyXb58OUsPgZ8+fVoJCQlO36tVq5bP8yfStXnfIUOG6Omnn3Yah5j3CggI0O7duzVjxgydO3fOep03CG4Ess6MGTP00UcfScq6+diTJ09qx44dTgXDS5cu7XfB8JSUFJUpU0YTJkxQ7dq1FRIS4raA3uzZszVz5kzrZ/EVwY2A91znYrt3767Zs2fr8uXLfh1qtrc9DodDiYmJ+u233yTJOgCZkpKi++67T2FhYT69t/0QZ/ny5dPc566FgFeuXGmFD/jyGe6CG03fg+BGwHvnz5/P8vfcv3+/pGt9neDgYHXq1MkKHPKW2VPSv39/dejQQXfccYf1/cDAQKdiVKYAqC99K3fBja4HrcyYh+BGwDtZeajZ4XAoOTnZqTBfcnKyQkND1bt3b1WvXj3D93ANb7z//vv14osv6oknnlBkZKTTGMSs4Rw+fFjz58/3eW6U4EYg82bOnKn+/ftr0qRJTmGHvvx+dzcXefLkSUlX13jMQclGjRrpxhtv9PtaTdjarFmzrOBGe9GrwMBAXblyRZ9//rnVN/IVwY2Af2bNmqXRo0dryJAh+uabbyT53pa4O1R95coVSVfbEvNeTZo00c033+zXdZr7tVKlSnrrrbesPSeGvYDeyJEjtWPHDr8+RyK4EfBXTEyMhg8frm3btunDDz+09sX6wtxzRkBAgBITE60+i/m93aBBAyt0IDNatmxpBTe6Bq5JV/fjLlu2zAqM9JWn4Eb7PhyCGwH3Nm7caO2JzyrHjh2z7mfT1tStW9caP3hb3NfcoxUqVFC7du3Uq1cvFSxY0Cn8zDzn1KlTmj17tjVf4y2CGwH/2ffF5s+fXwEBAYqOjrYK93vDvkbbv39/NW3a1Co4HhER4fS8sLAw63v+nu+1Bze+/PLLqlWrlqRrhfZM3yQuLs463+vrGCS94Eazf5jgRiB99rN/WcUEI5n3DAgIUPPmzXXPPfd49Xr7tTgcDlWpUkXDhw/XAw884HSWxl4o77vvvrPmgHyRUXCj+TooKEg//PADwY2AG+7O75h9nnXq1PHrvJ5pB8w+NjPmSUlJUWRkpO6++26n52UFs1f1wIEDGjx4sBYsWKADBw7o559/1rZt2yRl3FchuBHwnet5QFOfQPLv9639+ampqUpMTHTa95GSkqLk5GTde++9Pu+JtStfvryio6NVoUIFp/N49q8///xz/fDDD5L8q3dCcCOQOaYfkZV99xMnTljvKV393d+qVSuvQ2Cla+1BeHi4qlevrvfff181a9Z0usftfYYff/xRI0aMsD7X1/uc4EbAfzNmzNDzzz+vGTNmaPPmzZKypnaSOcsSEhJizUk89NBDKlasmN/XGhYWpqZNm+rdd991Cm60X8P+/fv1zTff6OzZsz69N8GNgH/sY50vv/xSn3zyiRITE/36fe7K1HXcs2ePUztTrlw5v+s65suXT/fcc49ef/11NWjQwKpjYtaJzT29cuVKzZgxw6f6sAQ3ApnnqZ6SOfO/c+dOPf/88zp8+LDP723GS2YO1OwzCwoKUqFChazxTlb/TjfjnuPHj2vq1KkaOnSoVTfWWwQ3Ar6z38u+jg28cfDgQUnO54k7duzo13liSerbt686deqkO++80/q+Pbjx9OnTWrx4sdatW+f3eWKCG4Hrm7vgRkkENwLAdYLQRgAAcil3G5fNhFLTpk3Vpk2bDN/DvtD9+uuva/78+ZKuLuh/+umnmjt3rlWQz3VhPKs2LxctWlSPPvqoatasaV2TdG1ybPv27Zme3Ca4EUiffRHOFLuaO3euFi1aJMn3zYfuNgqZTYchISHWez388MO66aab/L7uwMBAVahQQePGjVONGjWcAmbNQfDTp0/rhx9+0L59+6yf1RsENwK+c13QN4VevvvuO82ZM0d//PGHJO/7EPaD4OvXr7cOHdn7JoGBgSpSpIhq1KhhXYO/wsPD1aBBA/Xu3VuRkZFKTk627vWgoCAlJSVp5syZ2r59u88bAgluBPwXHR2tUaNGSZI2b96sN9980+cilvb2ZPXq1VY7YtoVsyBWqFAha1Hen4MX9jajefPm+ve//62yZcta72e/17/99lvFxMRI8m1s5U1woykuQXAjrlfmXoiJiXGaN0lJSbHuxVatWuntt9+WlLnARvN5rn+kqxsRT5w4kaW/z03Q7P/93//ptttuU3JystUvCQkJUUpKijZu3CjJv3aM4EbAezExMerdu7eef/55Xblyxa+Dm+7ah7///luSc6GGhg0b+nXQyrxHUFCQXnzxRbVt29ZjcONPP/2kd99913qdP6HSBDcC/omJidHYsWP10Ucfafr06ZKcizx5w91mPhMMYC8Y3rhxY/3rX//y6zpNUH3p0qU1YsQI3XfffU6P2wuGT5gwIVPjEIIbgYzZ52JNO3L69Gl9+eWX+vTTT63gRm/Z77O9e/cqICBA+fLl06VLl5wev/vuu/XQQw9l+vqLFi2qwYMHq3Hjxk7vb6758OHD+uGHH6zwA3/Wdkxw4yOPPGKNCQluBDI2depUPfvss5kKDbPfsykpKUpISNDPP/9sfc/MxdSsWdPqP3jL9EkCAgLUoUMHdenSxTpMbl8rDggI0L59+xQTE6P4+HinxzPiGtw4fPhwp4NW5kA4wY1AxqKjozV+/HgdOXIkS97PHKL8/fffnb5fqFAhqy3w5b2MW2+9Ve3bt1fXrl0VFRWVZk9IamqqNm3apMWLF1ttircIbgT8Fx0drTFjxki6up918uTJViFLb9d17OvE8+fPt9oj+76ToKAgBQYGWqFI/u47MX2E8uXLa/Lkyda+E/P55vO2bNmiX375xfq3rwhuBHwTHR2tkSNHWv8eOHCgvvrqK0m+tSVm7PLxxx/r3LlzkmTtFbXPq9x2222S/Lu/pWvjkQoVKuj1119X2bJlrf6COScQGBio8+fP65tvvtHFixf9vr8JbgR8Y9/DJl3d5/nee+9ZhX69Ye+bjB07VsOHD1dqaqpCQ0Ot9VVzHxYuXFiS/+2JdK1f07JlSw0dOlSS814Q054sWrRIcXFxPgfaGp6CG82YSiK4EXA1ffp0dejQQXPnztXevXut72e2uK8JWrIHDj300ENWm+Ite5+gZMmSevLJJzVgwAAruNH0jcy69qZNm7Rq1SqrYKe3CG4EfOd6ntjsDZFkjVUyYu+TvP7661aw2YsvvqjffvvNug/NPZY/f37r7HJmmHu+aNGiGjZsmG655ZY0fZOkpCQtXLhQ+/fv92tfL8GNgP+mT5+uVq1aWWdc/GG/j8zXW7dulXRt/tThcKh27drWWokv7PMmgwYNUoMGDayzNJKsYp+SNHHiRGs+2RfpBTeatWrz9Q8//KDevXtLYt4EkNzXPTH9+hYtWujjjz+W5P9cx4ULFyTJaR7ThEJm9f0XEBCg7du3q0WLFlq3bp3i4uIUHByshIQEjR8/XidPnvSqr0JwI+A91z2xo0eP1pkzZzRv3jyrSL8vgSb2tZvjx49b+1NN3SL7/jVTP8RfKSkpioqK0vTp062zfkFBQU7zrSdOnNCKFSusdWpvEdwIZN7MmTPVuXNnTZw4UVLmQ2AdDoeSkpK0fft2SdfGOikpKbr//vtVsGBBv6/1xhtv1CeffKIHH3zQaR+I/Qzgt99+q4ULF1r/9hXBjYDv7LWTNm7cqJkzZzoFN3rDPif7ww8/6OTJk5Ku7WEz6yEFChRQ9erVre9lRp06dfTmm2+qUKFCbudhFy9erF27dknybZxGcCPgG9dabIMGDdL8+fP1+eefKzEx0ed9Gu7WMs6cOaOgoCAFBwc71XU0tY78ERAQoFtuuUUjRoxwCm60n/GNi4vTihUrfG5LCG4E/OcpsNHMx5p7695771Xp0qV9fn9zj5vxjlnXSUlJUaFChax2JatqUEvX5mj279+voUOHav78+YqNjdXs2bN9PqtHcCPgPXt7MnXqVLVr187ad+bv+xkpKSm6fPmy1q9fb33PrIfce++9fp8nlqR27dqpa9eu1rjJdY50//79iomJUVxcnPW4NwhuBGB4Cm60z+0Q3AgAeROhjQAA5EIZbVx+7733JGW8iGUmgIYNG6bPP/9cgYGBCgkJkXS1QLgphhkYGGhNpNuDTbJK5cqVreK75rrMta1bt04rV67M9Gd4Cm40i3Pms2JiYrR69epMfx6QW7guwpliV3/99Zfm/D97Zx0d1dW18Wc0ShxCAsHdJbiF4gWCU9xDW0pbpEChOMWt9C2lWIHgbkVKaXGnxR0CwUOIER/JfH/kOyf3zkySscCQ7N9aXYXIOfey1tmzz7Zn40bs3LkTgGXDrrZu3cobq9jgOuF+bECNtQU1/v7+mDRpEqpUqSIqOGTPfObMGRw7dox/3VSMCTc2btyYvycJNxJEBpkl9B0cHKBSqbBr1y5enGsKQlvy/fffY9iwYdi/fz8AiIYxsEENvr6+AKxP6Lu6uqJly5bo378/XF1deUKONW4mJydj7ty5vGHBHEi4kSDMR2hPlEol5HI5zp49i5EjR5r8eSu0J+PHj8fQoUOxZcsW3gwl/DknJydedGSpgBvzH2QyGT777DN06NABXl5eouQ7a/I6duwYIiIizN4jO+FG4dBwEm4k8ipbtmzhw/IUCgU0Gg0vMvT390f37t35z1rrPxQvXhxFihTh55LdIWJiYvD69WuzxM+yg51vR0dHfP3113B1deXvxRL47A5mqR0zRbhx7NixvKmEIPIiwoGcZ8+exbfffstjqOY0gbPzJTxPLPbKPst9fHysGhbOChClUikGDRqEDh068GF8zH4w3+TAgQPYu3cvAMtFpUm4kSDMQ2hPpFIp5s2bh1WrVgGAaKB/VggHhs+fP58P9YyNjeWi1cwvKFasGADL8zvsvBcsWBDTpk1D5cqVRfEMdt9JTU3FoUOHEBsba7EfRMKNBJE5+rFYZkfkcjkePXqEzZs3Y9WqVSafDaFfMmXKFIwdOxanTp0CkOETsBgpGyRhizuOt7c3RowYgYYNG/LnADLs35EjR7B582bRc5iCMeHGVq1akXAjQZhAaGgoFi1ahAcPHmDatGl4+PCh2WtoNBp+ZlNSUiCTyeDk5MRjl+x8NmzYEIGBgRY9p358tFevXihfvjwAQ4H6S5cu8foZU/0r9vv6wo1ubm5GG61IuJEgjLN+/XrMnj0bGzZswNatW/Hq1Suz1xA2LanVagAZ51M4pKJFixaoWLGiVc9bqFAhdO7cGQMGDIC7u7uoJkQmk0Gj0WDDhg1caM0cf4iEGwnCfPTzxCqVCnfu3MGsWbP4IIjsEN51Jk6ciEmTJmHBggWIjY1F/vz5+c+wuhM2PMqavBHLCVWtWhXz5s3jQ6+E9iQxMRE//fQT3rx5Y3Euh4QbCcI09GvtFQoFtFotxo4dy3Oq2aEfN/n5558xaNAgxMfH83o15ps4OTlxn8TS8w1k+DuVKlXCnDlz4OTkJMq5AIBKpcKRI0cQFxdn1fkm4UaCMA19eyKTyZCcnIyTJ0/i0qVLJq0htCeTJk3CmjVrcPjwYSxduhQ6nQ7e3t68tgUAAgICAFhvTxg9e/bkYiLMPwHS/Zd79+5x4QRL9yPhRoIwnXXr1mHevHkAgL1792Lz5s08x2vJcN9Lly7xob5s4BTLEfv4+KBOnTpWP7O7uzvatGmDr776ivsmwntOcnIyfv/9d4SFhZlVOwOQcCNBmENm/cQajQYdO3bkn+fZnQt2psaNG4dt27ZBIpHAwcEB7969w6BBg3DlyhUolUoeZ3BwcOD1ZdbCxF59fX0xb948uLu789ySTqfjte+bNm3iQ0DNhYQbCcJ8hP7JrFmzsHHjRrPXEPonUVFR/M9s6C27G1SoUAF169a1+FmZLSpRogSGDRuG2rVrQ6FQcHshrKVbsGAB7t+/b/YeWQk3CmMjMpkMR48eJeFGgoChnwJk+PPBwcHcxgjrWU2FCSOlpqYCEN+bNBoNkpOTbToknO359OlTvifzYeRyOaKionD+/HkAptXiknAjQWRPZjWxMpkMjx8/xpo1a/D7778DMC12IvRLpk2bhi+//BK3b9/mc5SAjM9tZ2dn/gyWws65l5cXlixZguLFixvEYHU6HXbv3s17h8zZj4QbCcJyQkNDMWfOHCQmJmL37t1YsWIFAMtFYJ88eQKJRAKFQsEFpZnNqVSpEoKCgqx6XlZftmzZMoP8LesBjImJwfHjx62aaUTCjQRhOvo1bCkpKTh+/Dh++uknhIWFmbSG0DeZMGECRowYgdDQUKjValENm1arhbu7O4oUKQLANmJITZs2xejRo+Hs7CzK7cjlcsTFxWHmzJmIi4sz+55Gwo0EYRqZzWJ7+vQptm7dii1btvDZBKYgtCfr16/nc1KTkpJ47IHtV7x4cf4M1uDl5YXx48ejQYMGPC8lrFP977//eA2IObaEhBsJwnyyE2xkNfHCeKylNiAmJgaAeB60Uqm09hWMIpVKcffuXXTv3h0nT55EXFwcjzGvWrUKb968MWs9Em4kiOwR2hPWTxwWFoZp06ZZlFtlfj4AJCcnQyaTwdHR0cD/b9CggU36idu1a4eePXuiQoUKAMT9xFKpFP/++y8WLlwIwPJ+YhJuJIisYecuNTU1V9ZIGBNuZL3MJNxIEASReyHRRoIgCIL4yMhOsNGSwmUPDw9+CRQGl58+fYr4+Hi+PgDcuXMHgHUN4ELYuj169EDbtm15oRBL8EulUty6dUv0s5bChBu7desGf39/frkXJiPPnTuHpUuXkqgJkSfILAnHmitv3ryJpUuXmizGoV8oNGXKFISGhuLJkydcmEyj0SAtLQ358uVDiRIlANimUKhMmTIYPXo0SpcuzW0WsyMAsGTJEly7ds3sdfWFG/v27YtGjRrx9yXhRoLIOqHPGpuZGBqzBVkh9EUmT56MPXv2IDk5GRs2bMDGjRt5Up/9jKOjIxdwtAU+Pj5o27YtGjduzH0tIGNo+IsXL3gBpbl7knAjQZiOvj0RDl7w9/eHj49PtmsIfZPJkydj9+7dAIDFixdjy5Yt/E4jFHS3BUKx1yFDhqBevXr8fDN7qdPpcO7cOVy/ft2iPbITbgQykvwk3EjkNRISEnD//n3eOCk8FwDw+vVrbNiwgQ/Os7bA38HBgQugMbvCxJ6XLFmChIQEmzaBM7tWrFgxODk5iQTX2L0kKSnJqj169erFbbBwKKBOp4NSqUR4eDimT5/Om9AJIi9hTFT6+PHj6N+/v0icJCv0Rer79OmDbdu2AUgfZgmk2xONRgMnJycULFgQgOXxE+Y3SKVSDB8+HG3btuU2g/ktOp0OKSkpOH36NNRqtdl2kYQbCcJ8jA34BdKHRZ04ccKkNYQxlKlTp2L16tUYNGgQwsPDue1gtkmhUHARWGvyO+y8FypUCIsWLYKfn5/oOdief/31l9UN2iTcSBCGZBWLZYSHhyMpKcmkRih94YGtW7fi7t27WLNmDc6dO8djl+zsMXEhJppkLSVKlMCQIUNEYmsspgIA+/btw9OnT81eNzPhRuZ7kHAjQRgiHHilVCpx+fJlTJo0CXfv3jV5DeEAzPHjx2Px4sWIi4vjZ1voEwjF5C1BODQnODgYXbt25WIG+gL1hw8fxtGjR83eQ1+48ccffyThRoIwkXXr1mHmzJn87ytXrsSmTZvMGpQgtCk///wzDhw4gISEBCQlJeHdu3ci4Q/h4Bpr8PHxQbt27dClSxe4urryBlHmn6jVakybNg3Pnz83O05Dwo0EYTrG8sTsDNWuXRuVKlXKdg39PPGOHTsApJ+vmTNnIioqCs7OznxAplarFQ2usQZmH+rXr48vv/xS1HDO7ElkZCT27NljVa0LCTcSRNYYq7VnzdBt27ZFjRo1sl1D2FTN4iZyuRy3b9/GoEGDoNFo4O/vz+1IcnIy4uPjbXLO2HmtXr065syZAwAG4kgvXrzAzz//bJAPNxcSbiSIrMlsyBWQbk8GDx6c7RpCf3/SpEnYvn07ACA6OhpbtmzBkiVLDOovzBkWYwpSqRTt2rUTDfNmMRSJRIJr167hxYsX/HktISvhRvY+JNxI5HWENsXBwQHJycnYtm0bVq5ciYiICJPW0K85+frrr3Ho0CEA6T1zQEa+xc3NjcdNrMXNzQ1t27ZFv3794ODgYHDPiY2NxezZs5GYmGi2b0LCjQSRPdn1E7N7g6n3g9OnT2Pv3r0A0mMMKpUKcrkcCQkJOHXqFFQqFbclYWFh3E+wBSwewwQChGJr7N52584dq4Qi9YUb+/Xrx9cXxoOYcGO/fv0QHx9vcx+MID4GhPbFyckJADBjxgysXLnS5DWE/sno0aPx6aef4vHjxwAAFxcXUd+Os7OzzQb7lihRAiNHjkTFihUBQHS+ASAyMhLHjx/ne5tDdsKN7M9MuPHrr7/m36O4CZHXMJbXYXGH9u3bWyXYCIDXvzKxNba2VCpFamqqzft12J41a9ZEx44dIZVK+XNrtVokJibir7/+AmB6LS4JNxJE5mRVE8viDuHh4YiMjDRpPf088ebNm/Hw4UMsXLgQd+/eRcmSJUU/z/p3rM0Tsz1LlCiBKVOmwM/PzyB2AgC//vor3rx5Y7bdIuFGgjAfYU2sXC7HixcvsGXLFixevBiA+SKwU6ZMweeff87Fm9nvs/uBs7Oz1edNWF+2YMECVKtWTSTAxHyPI0eO4NixYxbvA5BwI0GYQmY1bBqNBgEBAXxmWlbo+ya7du2CVqvF3r17sXTpUsTFxUEmk/GfYfccW/XbOjo6olmzZujcuTMUCgVflz3XmzdvcO7cOQDmx05IuJEgsiaruY5SqRQPHjzAsmXL+LyT7NCf6zhz5kxs3LgRN2/ehK+vL59JkJaWBicnJ5vOdQwICMC3336LatWqGcyHBdL7BE6fPm32uiTcSBCmk51gY2ZzqM21ARqNBklJSYiNjQUgtiHsbNo6B6JWq3HixAm8e/eOx4OYz/L06VM+y9Uc34GEGwkic/TtibCf+MqVK5g0aRJu375t8npCH2X8+PFYuHAhtyHMZ2B4enryr1uCsJ+4Xbt26Nq1K4oWLSrai8VIjxw5gj///NPsPUi4kSCyh+V8nzx5gnHjxuHMmTO5skbCmHAjIO4xMibcSPEOgiCIjxcSbSQIgiCIj4jQ0FCDZD4LlHfo0MHswmV2mRs5ciRGjBjBvyYMOOn/FxkZabNBnABEwfG2bdvCw8ODB6vY+504cQLx8fE2SQB6eXlhyJAhaNGiBU/6sWdwcHBAWloaHjx4gOLFi1u9F0HYM1kl4YTDr6tXr47AwMBs1zNWKASkD7v63//+h6tXr8LBwUFUqGfLofwSiQRVq1ZF9+7d4eXlJWrYFAqgAZYXCgHpwo39+vVD48aNAZBwI0GYktDXaDTo2LEj5s6dy38nK4QDfbdt2wapVAq5XI7nz59j8+bNuH//vmid1NRUqFQqmwapixYtiq5duyJfvnyiYkCJRILXr19j69atACwTOSDhRoLInszsiVarRYcOHbB06VIA2dsTdpa+++47bk8cHBwApDeSHzhwAI6OjtzOODs720ycnp11pVKJGTNmoGzZsqIBeszWrV69GnFxcRbZMFOEG5lQEgk3EnkJV1dXDBw4EL1794a7uzv32SUSCWQyGdLS0nD48GFs2LAB//77LwDLh8DpdDooFAp069YNSqWSn0lhEeB///3Hf9ZW6HQ6FClSBE2bNhV9LS0tDdHR0UhJSbF4bfbsgYGBcHd3F4nNsqIhd3d3LFy4kNtUgsgrZCUq7eHhIRJLygz9+MmePXv4nw8cOMDvBuws6gubWIqwOWHChAmoX78+b3Bi39fpdNi/fz8uXbpkURw2O+FGiURCwo0E8f9kNTC8Xbt2aNKkSbZrCO8VU6ZMwZYtWyCXyxEREYGBAwfi+fPnKFmyJB/2oFar8e7dO5s8P2ssDwgIwIIFC+Dq6mpw34mLi8NPP/2EpKQkq3I7JNxIEBlkF4tln6fBwcEYO3asSWsK/ZKtW7fyz+ULFy5g3bp1uHHjBoAM34Ttz4ZgWYtEIkG1atXQrFkzuLq6igZcAcDDhw/x8OFDAObfqYwJN7Zu3ZqEGwnCCPo2hZ2NK1eumCxCKMzJTpkyBbt378a6devw+++/IzIykt8V2M+UKVMGgPl5WyHMzwGA3r17o127dnxYnlCgPjY2lseArLElJNxIEKahb1NY3HTlypW4fv26SWsIbcrkyZPx66+/YsWKFTh58iRSU1O58CsbRlW6dGn+d2vx9/dH165dERQUxP0sICOmExUVhZMnT/KvmQMJNxJE9mSXJza17kRoQ7Zt2waZTAa5XI7ExEScPHkSW7ZsQVJSEvclNBoNUlJSbDqYX6FQoHHjxqhbty6vvWV3N61Wi0uXLokG/Vq6Bwk3EoQh2Q2lWbhwIYDs7yPsHDHBRmYj5HI5bty4gS+//BJRUVGimnuVSmWzAeFsncaNG2PgwIGimlvWJ/Do0SMkJCRYvRcJNxKEcWxlT9h5mjdvHhdsZOJEUVFROHHiBN6+fSsSJnr16pVJa5tDsWLF0KpVK14LwvwCnU6H69evi2poLCUz4UZhfxMTbjx48KDV+xHEx4S+TWG1FMx/8PX1zXYN/ZjJnj17EBsbi9DQUOzYsYMPk2M/4+zszO8gtsDX1xft27dHw4YNRYOw2PpPnjzhAk3m2i9rhRsJIjdjLI/DzoWlQkilS5fGmDFj4OXlBZVKxetA9O8BAKBSqQwEpq2FiS/Vrl2b+0XCHM+lS5dw9uxZq/YQ1qRNmDABISEhADJsFovTODk54fbt2xg6dCjFTIg8h759UalUvB7k5s2bJq2hXxN74MABxMXFYfjw4Xj16hUfYsnOl6enJxdXtBadToeyZctiwoQJvH6N1dNJpVIkJSVh7969SEhIsCgOm5VwI+tJYH/+66+/SLiRyJOsXbvWoLYeSD+fLVq0wPz58wGI6z7NhcUu2DBfmUzG4xqpqak4cuSIweBfW+Dr64s2bdrw/mi2p0wmw82bN00WkGNYItwYHR1t03ciCHvD1JrY9u3bY9y4cSatyfySSZMm8X5ilUqFS5cuYe7cubh27RqAjLgFE5M2pRfIVCpVqoTOnTvDxcXFoM/w9evXePTokegZTMVa4UbyT4i8hL5NAdJtzsuXL5GUlGTSGvp3na1bt+LFixf46aef8O+//3JhMoazszMA8DuEpbA9CxQogIkTJ6JUqVL8/Ap7iH7//Xera95JuJEgMierGraOHTvy75lawzZx4kTR7KQ3b97gjz/+wOnTp0U9yqmpqUhNTbVp3iN//vxo3bo1F3Bjz6TVahEXF2e2KL0QEm4kCONkN9eRfa9evXpo2LBhtusJRUGEcx3PnTuHpUuX4uzZs3BwcBCdY1v7/+XLl0e3bt1QsGBBg9p6uVzOxSetueeQcCNBGCcrmyLMG+sLNlqaF3F2duaxWGF+59WrV4iMjLTZXDaGQqFAmzZtULlyZdGdhPXurFy50qK6EBJuJAhDsrMnMpkM165dwz///GPSesb6iTds2IBVq1YhIiKC+wXMbrDeP1v1E/fq1Qvt27eHTCYz6CeOi4vj894s2YOEGwnCOMzHePr0KXr27InDhw9j/fr1uHjxYq7MQZgq3Lhy5UqcP3+e9+wRBEEQHyck2kgQBEEQHwmhoaGYNWsWAPFQcJ1Oh2rVqvEh2OYEyoVBp5CQEHz77beiZgEgoziA7XXhwgWbC32wy2bt2rVRoEABUUBKKpUiJSXFJs1drJgxOjoahw8fFhU7KRQKPthr69atfEA6QeRGTBFZY8Ou2EAJUwuFJkyYgG3btvEGyuTkZBw/fhzHjx/nZ44Np7FUoCgzHB0d0bJlS1StWpU/Ewt8q1Qq7Nmzx+ImK33hxr59+6JRo0YASLiRyLuYYktYQn/OnDkAIPqMz4pr165h9+7dAMAHeUqlUjx8+BCXL1/mawFAbGwsVCqVTYfnAUD9+vUxbNgwAOCNVawR/MaNG3j9+rXFa2cn3CgMxl+4cAGrV6/mBZcEkdsx1gwhtCdsEKep9iQsLAznzp0DkO4bqNVqvu6lS5eQkpLCGyifP3+Oe/fu2exd2AALZ2dnjBo1Cl5eXvwcs/9HRkYiJSXF4kRbVsKNQLoPIxRuHDNmDI4fP279yxGEnRMQEIDPPvsMXbp0EQk3ss/YtLQ0/PXXXwgNDbVKuJGd3WLFisHR0dFA7PnZs2dYv349H65l689yFxcXABkxG8B0+2gM9u/z5MkT9O/fH3Fxcfz+pFAooFar4e7ujo0bN/JiKILIK2QXP/ntt98AmB4/GTt2rIGo9OjRo7Fz5044OjpCIpFALpfDxcXFZgKpzDeRyWSYPXs2SpUqJWpwYj7Sjh07kJqaalFBVFbCjezdSbiRyOtkF0NZsGABANMH/M6YMcNgYPjLly/x1Vdf4fnz5yK7ZIvh3Qw2PKtKlSoICQmBUqkU3XckEgmeP3/O97QmDmxMuFG/OYKEG4ncjjmxWGFzlSmsXbuW+yVssJRWq8Xp06fx4sUL/nNSqZQ3INmqYFin08HR0RG9e/fmQyWE9kylUmHjxo0WCx7oCzf27ds3W+HGLVu2ICwszCbvRxAfA5kNvGJ3na+++sqkddh9gg2nYX9fvnw59uzZg0KFCgHIsE22sifCO8i3335rIFDPbMr69etx48YNq20JCTcSRNYYsylqtRoA0KZNG3z66afZriGMUUydOpWLrYWFheG3337DrVu3+MBgjUaDtLQ0XlNmqwbwEiVKoGfPnvDy8hLFfNPS0pCUlMSFRSzJT5sr3Lhw4UISbiTyDNnddczNE9+7dw9///039xfYvSouLk4kDs/yRjkxcKFUqVLo0KED97GEg4RPnTqF06dPW72HULixWrVqAMBri4XCjbt378ayZct4/QtB5FayqzkxdyjNs2fP8OLFC/4Zzs6zRCJBTEyMyA9h+WHAfHHnrHByckLTpk3h5+cnEmVNS0vDjRs3cOzYMZvsw4Qba9WqZfT5JRIJtm/fjjFjxgCwne9FEPaKOXFYU8+Dq6srChQowGvYmO//6tUrLijNYhBs0K6tzhpbNzg4GI0bNxbVmTB7eerUKX7PsgYm3Dh06FAULlzYQHAWAO7cuYMlS5bQsBoiz5CZTdFoNGYN92XnlfXssOG+YWFh2LRpE89vCIf7stiMrShVqhQ6deoEFxcXURwDAJ4/f86HhFpiv6wRbiSI3Mr69esNBF/Z53inTp24EJK5gzd9fX3RoUMHDB48mNfYGot3ymQyxMXFYc+ePTlS2xUYGIgePXoAyOijYXELW4gUyWQyXkcycOBAuLi4iGp85XI5kpOT4enpiSlTplDMhMhTZOafqNVqdOrUCUuWLDFpHXamxo8fz3uKHRwc8OjRI4SEhCA6OhpyuZzbKFsKIrE8bpUqVTBjxgwA6bkj1ucrl8vx6NEjbNq0CYBl9WtZCTeymlwgQ7hx+PDh/Hu5cSghQQi5cOEC7xl2cHDgfgqQfiY0Gg0XNrTmM5blVQIDA0V1o+yMsVqQnBD8aNKkCbp06SLaU6vV4uXLlxaJJGUn3Mhiz0y4cdiwYSTcSORazKmJFd57TGHVqlXYvn07APCZACqVCteuXcPr169F4oZRUVFmrW0Krq6uaN26NQICAgBk+EtSqRRRUVFWxU4sEW5ctWoVoqOjKa9D5BmyE4H94YcfTFpHXwSWfY7fvHkTCxYswPnz5wEYisCyujZbUKpUKXTu3BkeHh4GIrBv377lNWXW2DASbiQIQ3JidtKOHTsAZMQLWM/dzZs3RWuxvI6tP7cDAwPRs2dPABmzk1gd25kzZ3D37l2L1zYm3FiyZEkAhrOTrl+/jk2bNmH37t2ien+CyE2YM9dx0aJFALL/LGc2QX+uo0qlwunTp/HPP//wsy2RSKBWqxETE2PT91IoFGjWrBkCAwMBZPQW63Q6aDQa7N69G2/evLH6nmOOcKOw55EgcjPMpqxZsybTvHHz5s15LRs7N9bA5hgx5HI51Go19xlsmTfW6XQoUqQIRowYAalUynMyrA7+1atXFvsMJNxIEBlk56OwfuKOHTvyfGd2ZNZPvGrVKuzcuRN+fn58bwBISkoCYNt+4uHDh6NRo0aZ9hNfu3bNoj1IuJEgDGE+BhNsjImJgVwux8mTJ7Fy5co8K9wolUpx8eJFzJkzh+aTEARBfORQNp0gCIIgPgKePXuGlStXAoCBqCIAPHr0CH/++adFYmTCoNPQoUO5cCMLEgkDRiwQtn//fpsn5bRaLVxdXVG7dm3+XEB6kO3ly5cICwuzqnCHXWgfP36MXr16ISIigr8PSwa4ublhw4YNJDxA5GrMKWI2d9jV27dvceLECQAZTRUymQyJiYm4fv06D8gDQEpKCmJjY21aQKPT6eDr64tvvvkGjo6OvJiANVk9f/4cly5d4j9rLvrCjf369UPDhg0BZCQRhcKNO3fuxLp163jBNkHkJrKyJaxwzprhNFWrVuU2KCUlhTdMMtFXhlwuR1xcnKgY0VbvBwCffvopatasyb/G3u3x48e4f/++VXsIhRsHDBiAnj178sESQIYAgVwux5kzZ7BlyxabiFgThD1jzJ6woXft2rWzyJ4UKVIECxcuRNmyZaFWq7lwPSs4BCASZY2LiwNgnaCIEJZgK1OmDAoXLiz6mlQqxYsXL/hwX0vRF26cM2cOnJyceHEVE250cnJCdHQ0pk+fzosYCCI3U7hwYfTq1SvHhRsBoEqVKgYNC8Khu8yvMRbTsQYfHx8AGUNAGZaIFTHb+uTJEwwaNAgvX77ktpgJNrq5uWHjxo0oVaqUzd6BID4GbB0/uXr1Kh+gK5VKjYpKs0aF58+fW333EMLivvnz50e/fv24KACQEdu4desWv4dZQlbCjXK5nDd9MOHG/v374/bt2xYJHRDEx4atB/y+efMGsbGxcHJyMhgYnpSUZCBc8vLlSwC2a4hgDV6NGjUyuO/odDqEhYXhwIED/GetgQk3MpEX1njB9mLCjSEhISTcSOQ6LBVsNPWzvEOHDqhXrx6PfbLf1Wg0PE7C4inXrl3DkydPbPZubF1PT0+MHTsW+fLl4+eb3a1evnxpVVxUeM+rVq0aevfujfbt24vEFoTCjWvWrMHevXttPsSYIOwRc+46pvDbb7/x4TRsTQBYvHixQR6HDeazxVAJ4TDMmTNncoF6tp9cLodWq+V5Ykt8IVOEG9mdhwk32ko4hSA+FrKzKYsXLwZgukD9hAkTsGXLFh5LkMlkuH//PhYvXozExETR0Bh2B7DlQKiaNWtyQSJhzFcmk+Hy5cs8t2PJntkJNwqH1Bw/fhwLFizgAnMEkVvJqu6kQ4cOFt11ypYti5kzZ6J06dJ8eAs7y/qxg9TUVP7Zbeu6kzZt2vDhdvriA0zczdp9FAoF6tSpg9GjR6NChQr86yxmIpfL8fjxYxw7dgzx8fFW70kQ9oq+LWH1qtbYkoCAAAwfPhxt2rThn+Gsjo3BbExaWhrOnTsHwDJx56yoXbs2F1ljdor5SSyPZAtfyNfXF8uXL0fVqlVF4nFsv7S0NPzzzz948+aN1XsRhD0TGhpqYE/YmejYsaPZ9oSdpWHDhmHw4MHw9vYGkDHAQlhjwv578uQJoqOjbXbPYbYKAPr27YuCBQvyZ2Nfv3HjBlQqlU3iNW5ubvjss8/QpUsXbq9YfIUJOcTExKB8+fJW70UQ9o6th/ueP3+eD/dXKBT8927fvs1r4Ji/EBcXl6kQmyUwm9S8eXMMGjQIQEbelsVpLl26hMjISIvtlzHhxvz58wMwHjf5/fffcf78eRoUTuRK9uzZg5kzZwJIP+/COgknJyceA7AUHx8fBAcHY+jQoXB3dzcYyi+8f9y5c4fbKFudN7Z22bJlAWTUwQpFnq3dLy0tDUqlEo8ePULXrl1FwzaF/cTr169HuXLlLN6HID42svNP2PdMjZUePnwYu3fvBgA+LFwul+Phw4c4fvy4SBz+wYMHiIuLs1lPMVuncePG6NWrl+i52V3n3r17op81F3OEG48ePYpvv/2Wf48gcjNFihTBZ599BiA9zyIUZdVqtTh79iwmTZqEly9f2kTI1NfXl8d8hf0zJ0+exJYtWwBYX6cqhPkgJUqUEK3N3vP169cWrasv3NiyZUtR/59Wq+ViT1evXkVKSopV70EQ9oipNbHt27e3KLdTq1Yt1KhRA0qlkn+GS6VSJCUl4d27d/zM6XQ63LlzB1FRUTb/3C5dujRCQkIAiGvepVIpHj16hNjYWIvX1hduHDhwIFq1agUAPJYtFG5ct24dQkNDc+WwZILQx9YisOvXr+cisOxcaTQa3L59WyQSJJVK+bm25VlzdHREq1atuD8inE0QHx+PrVu38r9bgzHhRramULhx+fLlePbsGYmsEbmanJqdNG/ePLi5uXG/gNkUob/PzvbZs2f5HraA+Q3dunVD48aN+ddYPU1sbKzVNWxC4cbg4GAMGTIERYsW5Xux3I5cLseVK1dw4MABJCcnW/diBGGHWDrX0RR7kpCQgKtXrwIQz3VUq9W4ceMG1Go1jzdoNBrer2PLd/Pw8MCIESPg5eXF/QU21zE6Otpmcx2ZcGOLFi1EtS5C4ca9e/di9erVvF+aIHI7J06c4HbDwcGBnwuJRAKlUolixYrxmk5r6kOY/1G5cmW+FjuHWq0W+/fvt3oPfdj5r1q1KurVq8fzxcxuXr16Fbdu3bJ4fSbc2KlTJwDGZxOcOnUKgwcPpllsRK7FHB9FWMdmCitWrMC2bdu4P8NyKD///LNBPzGzU7buJ54xYwbKlClj0E+s0+lw8eJFANb3E2cm3Mj6iZlw49GjR61+N4KwV5ieQ58+fRAVFQWFQsHPyJkzZ/KkcCOQYdNKlCjBa+AIgiCIjxOq9CMIgiCIj4CAgABMnjwZZcqU4YEtlnyXy+WIj4/HjBkz8Ndff1mUkDZFuBHICDZdvHiRD+S01XBfdulkCXcWvGMXUKVSaXHhjlB4YPDgwVx4QKvVihqsNm3aRMIDRK5GGDTXHyhh7bArnU4HHx8fbNiwAeXKleND65i9Eib52Hm/fPkyAHESyxrYfuXLl0ePHj1EDaEajQYqlQrXrl3jP2vpHkLhxi+//BK1atUS/YxOp4NSqcTLly/xzz//UNEhkSvJzJawRkp9W8KaoUxBKDzGigVYgJo1QgAZZ1un0/GBV7ZqjGDv5+3tjYoVK4q+xpqeWBO4NckBJtDi6uqKRo0acT+OvSMbjp4vXz6MGDECzs7OFu9FEPZOVvYkODgYCxYsAGBeETNbKzAwEOPHj0fp0qVFwzj1h+hpNBps27YN8fHxNv/89vPzQ79+/QCA2y7G27dvrV6f2RMgvbHMwcFB9H2FQoHk5GR4eXlh2bJlZE+IPMP7EG4UDqNiQ1tY7IY1g2/cuBG//PILANik4Zzdr4RiKcxuFS9eHL6+vmatx541PDxcJNhIcROCyLrRytIm8JIlS+KHH35AiRIleEzEmKg0AKjVai6WZCvYPnXq1IGrq6vo2WUyGcLDw/mAcmuH6AHpwo2ssVXoB6nVajg5OSE2NhbDhg2DSqWiIXpErsbWA34BoECBAvjiiy/QsWNHLtwo/F123tl5PHXqFADbDwyvUKEC2rVrB8BwKGdYWBgA2wztc3V1xaJFixAUFGTwPfZO169fR1RUlNV7EYQ9kVkzhDB2YqlfotFo4OnpiZ9++okLN7I7kXBAOFtTJpMhOjqa72MLWBNVoUKF+J1KOKj88ePHuHDhglV76A+padKkCZRKpcFzAOk56eDgYB4HJojciq1FYHU6HapVq4aKFStyP0f4u2yoBPv748ePRaIA1sJySF5eXmjdujXkcjn/Ghsq8ddff/GftQR94cZp06bxRiuGULjxyy+/xIkTJ6x/OYL4CNC3KQCssilAepwTyLhjMP8kMjIS8fHxopwxa6K09ZCa9u3b82FUzE6yPdhdx9J8kr5wY/v27ZEvXz6+l1BQ4cSJE5gyZQoePXpkzWsRhN2yZs2aTO86n3zyiahuxFQbws5xUFAQRo4ciZIlS/KYpfDcCsUHHjx4AMC2dSfsOWrXrg2ZTMbjJWyPkydPArCuBpfluR0dHeHh4WEwJJgN6MmXLx/mzZsHT09Pi/ciCHtm9erVBrYESD/n9evXt8qWVKtWDX369EHr1q35Zzi7b+jHUe7fv89jJ7YWMunevTu8vLy4j8Bs5blz56BSqayuc2G2KCoqSmRL2HAttVoNd3d3bN26FQUKFLBqL4KwZ0JDQzFr1iwAGfkcIP0sVKxYEWPHjgVg3v1GmKvp378/Bg0axM+R0D8RDgu/ffs2rl27ZtMaNmG/jre3t6hXRy6XIzY21iY5FvZv9vLlS2zdupXniJk9SU1Nhbu7OzZu3IiAgACr9yMIeyYnhvvWrVsXEydOBJAujCIcnp2amsp/Ti6XIyoqymAAljUI7Vnnzp35oD62vk6nw4MHDxAeHm6V/RIKNw4ePBjdu3fngrdsL3bH+ueff7Bt2zbRuxNEbkCn08HT0xOFCxcGILYTOp0OycnJWLVqFdauXQvA8rrU/PnzZyrcCGTEP0+dOoXNmzeLvmYt7H3q1q0LHx8fns9hvgS7W9minzgkJITXxaalpUGhUFBdLJFnyYma2NKlS2PgwIFQKpVQqVQ8fiL0HRgpKSk5MqTPxcUFderUEflGzH4cPXqU9wBair5wY7NmzbjdAjJ8LQcHB/z5558YM2aMVfsRxMeAn58fhg0bht69ewPIqJcAMu4nZ8+exYwZM2wi3NiwYUNeOyoU/ZBIJDh48KBVg7uzolWrVnBychL5YkBGL6ClQgQAEBERwe9sDIVCwWMnf/zxB/z9/a15fIKwS0yZT6AvrmZObqdq1ar44YcfUKlSJe7v6NfEsj21Wi0X+bB1zUndunVRp04dUS9zWloabt++jYcPH1q1h76gCbNVwlgzq4FVKBTo0KEDCUoTuZ6cEIFt2LAhGjduDCcnJ57rkEqlSE1Nxbt37/jPsbP97Nkzm5+1QoUK4euvv+a1IUD6GZfJZHj+/DkXPLCW8uXLo0+fPujWrRsAiO47TLhx69atCA0Ntdl8KIKwN9auXZupb9KmTRurZicFBwdj4sSJcHFxMepzCGvY2B3B1rOTpFIpqlSpwv/M5lYC4P061tawsdlJ5cuXNxCpZrOTXF1dMX78eLi6ulq8F0HYI1nNdRT2EVs619HV1RWhoaGoVauWwVxH4We2sMcWsO1cR61Wi8KFC6Nnz57cfrDZbxqNhs+StMVcx8DAQAwbNgwNGjQQrZeWlgYHBwe8ffsWp06dMpirRBC5FUdHRzRr1ozHDoWxSpVKhR07dmDNmjV4/vy5VfuwdVktiFBwWiqV4uLFizh06JBVexhDIpHA1dUVVapUEfUBMpsWHx9v1fpOTk6YPXs2WrZsafA9tse9e/cM/BeCyA2YI9hoiY9SvXp1VKlSheecs+snTktLs3k/saenJ9q0aZPj/cTNmjXDjz/+CE9PT9G9js1mU6lUGD58OP755x/rX44g7BCVSoVRo0bhzZs3PF4q7H/Na8KNTLRSo9GgQ4cO+PnnnwHYroeIIAiCeP9QNp0gCIIg7Bx24WrRogW++eYbFC9eXDRAhgVp4uPjMWvWLBw+fDhHhBsZMpkMkZGRmDRpEhISErjIga3ekyXjhLAAmKXrsgYrEh4g8josaL527VrRQAlhoVCzZs34gBpzCoVYIr948eJYvHgxypQpYzDoCsgYLgeAi6wZO/eWwp63Ro0aADKGWbA97t69C8A2hUJA+mB04eBxNlBCpVLB3d0dixcvhpeXl8V7EYQ9s3PnTqPDafTPoTCgbgpsSDdgKNwol8tFTRFs3SNHjhg0KFkLe4aOHTvC3d2dJ8/Ye7L9rGk6Zw3fjx49wrBhwxAfH8+bxYSN4Js3b0bZsmWtfymCsFP+/vtvbk+USqXB57T+4ExzYcKNP/zwg0i4UViExO40z549400KtkrwA+nnvVSpUnB2dhYJDwDp/olKpbLqXiW0J126dEFsbCy3J8J7T2hoKNkTIs+R08KN7CxXrFgR9evXB5DuowjjLBKJBKGhoVYPyGGw+839+/cBiBtDXVxczF6PxU169+5NcROCEGBMGInd/du3b29REzgA5MuXD82bN8fQoUNRtGhRka0QCg7IZDKo1Wrs3bsXKSkpNi/MKVq0KD7//HP+DkKf6NWrV/yZLEUoKh0UFAR3d3fRv5NQVPq3336DUqm0uXA2QdgLq1atMojHAulnvVatWpgzZw6AdDFTc5sqS5cujV69eiE4ONiocCOzWxKJBE+ePLH5YAm2zqeffgo/Pz8eq2H7nj17FgkJCVbvw+5nz5494zFeYV6JDQzfvn07/Pz8rN6PIOyNzZs3c79EoVDwMyGRSODj44PBgwfznzXHjjDf393d3UC4UQiLYyQkJGDp0qWi5i5bIJFI4OvrywdrMd+EYYuGJ7be06dPMX/+fCQnJ4sGkjM7smvXLpQsWdLq/QjCnslq4FWXLl14XsZc8YFatWrhhx9+QMWKFQ18Df1hlbdu3cLTp09tKibNciuffPIJfy/hkK3nz5/zoXnW7MHuTm3atMHXX38tGvyp/382TJkgcjPG4iesudFS8QEACAkJweTJkwEYiivpC9RHRkYCsJ1AvdAXqlatmmhP9hxHjhxBQkKCVfEaoXDjlClT0KRJE1EOiQ2WAIB///0XTk5Olr8UQdgpJ06c4L4Hu+sIh2UWKlQIz549A2BefZkw1hoUFITRo0cbCDfqf3YfPHgQR44cseXr8bWbNGkCLy8vHmNmdzqWl7bGfqWlpUEulyMsLAyff/45oqOjeW2NMM+zefNmlC5d2vqXIgg75Pr16zxn4+DgIKr1YJ+tLA/MhkyYgtCWVKtWDX379jUQbmSweOiVK1dw+vRp/vu2gPkfRYoUgYODgyi+LJVKkZycbHW8l+XOnzx5gv79+yMiIoLbEmEN28aNGylnTORqXrx4gT179vC/C3O3QLoI4R9//IGIiAiz46PCOpEBAwYYFW4UxjGA9BiOrYbtMnQ6Hdzd3Xkslu2p0WgQGxtr9fAuZk8eP36Mvn374vXr1/x99O0J+SZEbierOGzHjh2tGu7bp08fLtzIBNaYPwJkDMfUarW4dOkSANsN92Xr+Pj4oEyZMgAybAkTA7CFUCSrOfH09ERQUBAXZWTvKZVKodVq4erqii+//BKOjo4W70UQ9ohEIkH9+vUxffp0FC9eXFT7zs5hREQE1qxZg9DQUAC2FW5kdykWdwCAPXv24MqVK7Z7yf9HoVBAqVQCEIusWVPHz+LR4eHh1E9MEALWr19vMCycfbZ26dLF4prYkiVLomfPnujduzf3e4zNJpBKpXj+/DkOHDhgu5cS0KpVK7Ro0YLnc9n9RKPR2KR+jfUMA8D3338PR0dHbi8BcPEWd3d3UR0PQeRmfH19MXToUJFwI4ubSiQSqFQqnDlzxibCjTqdjuduWb8cs2H//fcf/v77b35GbYFwfZVKZeCbODs7858zB6GwdM+ePbmfop/XoVgskdvZunUrr60X1sQC6QJl/fv3538355wJe/x++OEHVKlSJdPckFarxdu3b7F9+3YAthdG8vb2RunSpbktYTNI5HK5SOzNUtg7PXv2DAsWLEBycrIoxsxmnWzfvh3Fixe3ej+CsGeM1a8JBRstueuw2UmTJk1CrVq1oFQqRb05QkFWNhPN1r06QPpZr1ixIoKCgkS1a1qtFo8fP7bJfBVmTypVqoQmTZqIRGCBjLivk5OTSKSJIHITBw8e5L19who2du+vWLEin+do6eyk4OBgTJkyhQs36teusfO9a9cuXLx40WbvBmQItbRr1w7u7u7cRjIf7PHjxwCsr2FTKBQICwvDsGHDEBcXZ3TWyZYtW3h+iSByE1nNdWQ+RFBQkMVzHbVaLXx8fLB48WLUrFkz27mOp06dQkpKik0/t5mNCAwMFIlGsq8zW2KNLyQUqs6XLx/u3r0rus/J5XIeg126dCm8vb0t3osgPibq1KmDQYMG4ZNPPuE2gZ09mUyG2NhY7N69G5s3b7a69gsAKlSogMqVK4vuPWlpaUhJScHJkycRFxcHwHaiRMx21alTB0qlksdL2TuyOIol+7G1nz59ihs3bojW0Z9N4O/vb/W7EIS9wfwF/TyxrfqJa9asiQkTJnDhRuH3jPUTP3nyxOb9xHK5HE2bNoVSqTToJ3758qXVNbjC2bNME0CYCxMKY0qlUhQtWtS6lyIIO0WpVGLixIkoXLgwkpOT+Z0/Lwo3lihRgs+MDQ4OFtlQmptGEATx8UKijQRBEARh5wgDTs2bN8fIkSM/qHAja7Z6+PAhfvzxR6SkpFgtNsDeE8goUmZFC1qtliceLV03IiKCGqwI4v85ffo0LxRi50HY1Ojo6IhXr16ZLbIGZNiQ4sWLY8mSJQbCjfpCa9euXcO2bdts+HYZNGrUSCRIxBJnd+/eRUpKik1E1sLCwtC/f39ERUVlOqCGCoWI3EzRokWRP39+ABlJMeHZmjJlCjZu3GhRgkzo/+gLNzLfRDiIMyIiwiYDHvSfAUgv4klLS+N2hD0XG/5gqT0RNliFhIRwP4X5WuSnEHmJ6tWro0GDBgDEg3eZ77B3716MGTMGQMYAW3PJTriR7RceHo41a9bwvWxVICSVSlG2bFkUL17cQBQpMTERCoXC4sYusidEXkJ4JlnBrSmf/Tkt3MjO4ciRI1GlShVREQ977nfv3iE0NBQbNmwAAD44ylIOHDiAW7duiWyms7MzgoOD+Z6molKpsH37dpFwAdkPIq9z5MgRXnSoX5ynUCjg4+PDf9YSf8HV1RXNmzfHl19+KRJuFJ5p9rV79+5BpVKJvmYLdDqdqOBPvzlCONDPEoSi0h06dEBcXBz374Txk9DQUJQrV87q9yEIe+XevXtYunQpAEOReolEArVajX/++QdAun2x5NyVLl0affr0yVS4EUg/8/fv38fBgwcB2H4oZ5EiReDh4cHfj/lHqamp/P5lKfoDw9mAXxpSQ+Ql7t+/DycnJy7qzM6UTqfD27dvMXfuXNy4ccMiG8JiLVkJN7I4hlQqxdOnT3H9+nUAtheAZWKJ+gJo4eHhVq/PYicDBgzgsROdTkfCA0SeY8WKFaImcOHntL+/P6ZPn84H55nrL8hkMlStWhUTJkwQCTcKB1WyfVNSUrgPZOt7ToUKFdC2bVtRc6hGo0FkZCQePHhgkz2YTVm7di1/fn2bsn//fhKBJXI9K1euNBjuC2Q0XjLxAUsE6gGgV69emDRpEoCMPLGxu8X58+fx119/WfoaWdKjRw9UqFCBn3X2ju/evePxGmtgv//mzRv8+++/IpvCBkt4eHjgjz/+oCZwIlfi6+uLli1bws3NTXTXYZ/hGzZswNq1axEWFmb22qYKN7K4g1QqxenTp20iGi9Eq9XCyckJnp6e/LmAjOEx1iC86wwZMoTqY4k8S/78+fH111/Dw8MDqampIp8hLS0NFy5cwC+//ILz588DMC8PnJ1wI7vvsM9uIH2wxaNHj2z6jmq1Gq6urqhQoQJ/LiD9vpWQkICkpCSL1xbaEqq1J/I6hQoVwjfffIO6desanHO5XI6YmBj8+uuvOHjwoKi+wlRMEW4UDtF7+PAhHxZl67pYlu9m6zIbZs3APqE9GTx4MNkTIk+zbds2A+EB4XDfRo0aAYDZPTtCO6Iv3Mjyp8J+HQDYv38/7t+/b7N3A9LjFjKZDF26dIGzs7OB/bpz5w4A60SshTUnI0aMQEJCAvfzhHFYGu5L5GYUCgVq1aqFiRMnioQbgYx8akREBFavXm1z4UZmn1hvL5B+to8ePcqHcNoCFpdxdHQ0eDcnJyf+M+YilUoRFhaGfv36kU9CEP/Pli1bMHPmTADinI5Op0O+fPnQtGlTq9YvUqQIevTogb59+/JBn+x+IaxxAYDbt29btZcx2PtUrVoVQIagG7NjrM7F2ppYpVKJR48eYcCAAUhJSTEY7MtqT6gmlshLvC/hRolEgj59+qBYsWK895DdTTQaDVatWoUTJ04AsN2wcGZDhM/L/sx8FXOgWCxBpJOcnIyrV6/C1dUVQEZ/IJB+fl+8eIE1a9bg2rVrAMzL6wjJTriRxWnOnDmDS5cuWfFGhjBb0aBBA0ilUm4X09LSoNFo8PDhQ6vXZ/akf//+VBNL5Gm2b9/O69cUCgXv/5NIJPD19cVnn33Gf9aceCXzNQICAjBp0iTUrVuXCzcKYf5CXFwc1q9fz3/XVkgkEri5uaFSpUo8Bst8IJlMZnMR2FmzZmUpAluiRAmr9yMIe6RAgQKoUKECHBwcoFarRd/T6XRYuHAh1q9fb1FsVNgTnJVwI/u7Wq3mcw5snSN2dnY2sGVSqRQpKSlWrZ9ZDRvNOiHyGhcvXhTNddQ/w2lpaXj8+LEodmIqrIbFx8cHS5YsMRBu1O/Xefz4MTZt2pQjQim1atVC5cqV+d/ZHnfu3LG6/pbZjbCwMPTt2xdv374V1bPQXEciL8I+t2vWrIm+ffuiZcuW/B4inJkUGxuLnTt32kS40cfHB1WrVhX5DMxu7d69G3v37gVgecxGH7a2p6enSEiO2Rdjsy1NQTibYMCAAXj16hXNJiDyJCtWrBDliYXxWD8/P0ydOtXifmKpVIoqVaoYCDey2Ix+fOHYsWMAbN9PXK5cOaP9xG/fvrVJ3RyLxTx+/BirV68W5dqF8dh9+/ZRPzGRq6lZsyYWLlwIPz8/Ua9vXhNuXLRoEfLly4dPPvmE90+bI3pLEARB2CdkxQmCIAjiI8DehBtZkOj48eNYtmwZD7BZcyEWCqrpP0+xYsUQEBBg8doA4OHhwQusKJlP5GUqV66Mtm3bIl++fCJBVBbUPnDgAObPn29x0i074UYGsxcXL17kA6hs1QgBpAfnXVxc+LpsKI5MJoODg4NNRJFo2BWRl9HpdAgMDMQvv/wCf39/0TkXDqGaMWMGNm/ebNEeWQk3ChskWGPV3LlzcffuXV4EbSsCAgJQuHBhUcMmAF5QaYnYEjVYEYQYLy8vLFiwAEFBQbxwRlhkKJFIsH//fowdOxZAzgg3skHbEokEBw8exI4dO/jetoA1Qzg6Ohqsy5okLIHZk/DwcLInRK6HiTYDwI4dO7Bw4UIkJiaaHI9gwo1du3blgkL6wo1HjhxBaGgoLl++DMD0IkEmwKhQKDBr1iyUKFFCJJbE/v/y5Uv8+uuv+O233wCA72suCQkJOHPmDC84ZHZRJpNxATZz7JdSqUTr1q3RvXt37luR/SDyOn5+fggMDASQPgiXxUd1Oh3UajV27dqFOXPmiM6guWQl3Mhsj1QqxZ07d7Bs2TKD71kLE1AoUaIEfzf2HlFRUfxnLIFEpQkig/z582P06NHw9/fnuRRhDOXatWtYvnw5/vzzTwCWNylkJtyoPzB8165dfIiFrWACLGXLlgWQMcRCJpNBpVIhMTHR4rUphkIQ6UyePBm9e/fmQ2rY2WDn7dy5c1iwYAHu3LmTI8KNQqGDZ8+eYdeuXQAsH/qpD7szValSBa6urqLGCAA8523Ju5EdIYgMVCoVHzDF8ixCsfaXL19i9OjRSE1NNRCbNhWZTIZq1aoZCDfqx0M1Gg3++usvUXzGFrB9/Pz8RO/GfKH4+Hir1te3Kc+fP4dCoQAAUYMV2RQit6PT6RAZGYmFCxcCAL+DMNLS0vDvv//i8OHDACwXqAeA3r17Gwg3Cu0XG1Zz5coVvretYPFXJpYovOvExsZa3cwutCk9evTgTeCA2KZs2LCBbAqRaylXrhy++eYbNGzYEM7OziKxIuavbNq0CZs2bcpR4UY22GH//v08R2SJL2QMmUwGZ2dnFCxYUPR1jUaDd+/eWRw3obsOQWTg5+eHrl27YsCAAXB1dRUNtmK5z0uXLmHFihU5KtzI7Mbjx4/x999/Wz3UTgi7d+TLlw9ARk2sRqOBSqWy2GaRwBpBZCD0GQYOHIgaNWrwcy4cKBEbG4sVK1Zg//79OSLcKKwziYyMxC+//IKEhARel2Kr93RwcDD4GmB5fpjV3j1+/Jh8E4JA+nBfd3d3AIZ3C51OhzFjxmDPnj1mD+MEshZuFPb+sZ95/fo179Oz1T2H2Qo3NzdotVqDdZmgtK1qTl68eEE1J0SeRaFQoHbt2gbCjeyzF8g54UZjd6tNmzbxIXq2QCqVIjExEdHR0Qb1a76+vvxnzEWtViM0NBQRERH898l+EHkZdp/RFxhjfkNiYiIWL17M8zqW1qkWLVrUQLhRvy8ISK9fY8JqtoLtU6dOHZ63EtqUmJgY0TOYS2b+CYtlk30hcjvMJmRmG96HcKNWq4Wrqys+//xzLjINZAzzV6lU+O6773DhwgWRKIqlCGvqFQoF7y2Wy+VwdHTkfTumwvw3isUSRHqNyYgRI9CxY0d4enqKZp2wmok//vgD69atw40bN/j3bC3cyPqYX7x4gdOnT9u03oTdQwICAkRxZuHelkJ5YoLIQK1W4/79+/D09OR/Z/eZtLQ0REREYNWqVTh//ryoHsVUmE9hinCjVCrFtWvXbH7XYXvVqlULcrmcC4yw+w6JwBKEbQgMDMSUKVNQrlw5fgb0a9gWL16Mbdu2WSTcKLwDZSbcyH6OidLfvHnTpjX2QHr+qlChQqLexrS0NMTFxRkI1psK+SYEkUG1atXQo0cPeHh48Bp04Xk7efIkZs6ciUePHlnV+5edcCOLaVy8eJHnbW1pS+RyOdzc3ACI5zoqFAo4OTnRXEeCsDHCe0xgYGCOCzcyexESEoLSpUuLhBNZ3Gb27Nk4evSowfNZS3JyMtLS0viezJ7p57dMgXwUgkhHrVbzfjvhXYfx6tUrjB49GklJSRb3EzPhxvHjxxsINzL7wPqJjxw5wuM3tu4n9vf3N9pP/O7dO6vW16+1p35iIi+Q1Wd71apV8dNPP+V54cZ9+/bh119/BUCCjQRBELkFsuQEQRAE8ZGgL9w4atSobIUbDx06lCPCjSwwFRsbi/3792P9+vVWCzeyy/WtW7cAQBSk9/Hx4YMmzCUtLQ2+vr5YunQpatasSYEtIk/DBu5OmTIFn3zyCU9ECZPfAHDw4EH8/PPPCA8Pt2gfU4Qb2Z//+OMPbNu2jX/NFsk3VgDIGjTZgC2NRoPk5GQkJibSYF+CsBJ2XqtWrYpFixYZCDeycwEA06ZNy1HhRpbQT05OxqxZs/DixQubJvMBiBJx7B0t9U2AdDsZFhZGDVYEIcDT0xOzZs0SCTcKk1ASiQT79u3LUeFGtm9SUhL+/PNP3L5922bvx3wtJq7A9gTSh2Cp1WqLixYeP36MXr16kT0hcjXCop9169Zh4sSJ2LdvH9asWYOkpCSzhBt79uyJLl26GBVu1Ol0OHLkCNavX2+2cCOLaxQrVgzDhg2Dn58fX19o06Kjo/HLL79g/vz5ACwbKLNp0yYuksKGWgDAkCFDULp0abPXA4DKlSvzfxsAcHR0JPtB5GkqVaqEiRMnom7duvzeIZPJ+JmNi4vDrl27MH/+/BwVbmQxjWPHjuHvv/8GYDtRabYWKwgUrmvNfYpEpQlCjJeXF9q1a4chQ4bA19dXJOzM/I/r169jzZo1OSrcyGzU8+fP8ddffyEhIcFm76g/MJzdrdRqNVJTUy0e/klDaggiHRa7GD16NDp37syH/ArjJxKJBBcuXMDcuXNzTLiR/QwA7N69G6tWrQJgO1HptLQ0JCYmIikpiQ/PY3uzYRqW+EGU1yGIDJRKJRYtWoS2bdvyJnDWEAGkn5fDhw9jzJgxXLzelsKNzAdisdH//vsPS5Ys4d+zlS0B0hs/5HK56P2A9LiM8OfMXduYTWE5K7IpRF5CIpEgf/782Lx5M5ycnJCcnMxzw8JYw4gRI7B//37+dVsJNwr3YvZj7dq1uHLlis3sCQAeC6pXr57oHYT3HUuh+hOCyKBUqVL48ssvERQUJBJuZOdBp9Nh48aNOSrcyHK5ycnJmDJlCp4+fQqZTGaT5lBho7nwmYB0gROFQmHRPlKpFM+ePeND8xQKBdkQIk/j6+uLTp06YciQISLhRvaZq9FocPHixRwVbgTS/YeEhARs2rQJ9+7dA2CboVfCmnr2PMyWODk5WST4BKTbkpcvX6JHjx548eIFH7hBtoTIiwjPeZMmTTBkyBAu3Mh8BhZLiYmJyVHhRna+ZTIZ7ty5g++//54Ps7BWcI2t7ejoyP/OauzZnpauGxkZia+++op8E4JA+t1j8eLF8PHxEZ1rdvdIS0vDhAkTeNzEXLISbmRxEyD9TKempmLOnDn8nmPL+vqSJUuicOHCfFA4IzY2FoBlIpEUMyEIQ4wJNwqFnoGcF24U9uxMnz4dx48fB2BdjRn73Xfv3onqW9g7FSxY0OK1FQoFunTpgk8//VRUw0L2g8iryGQytGvXDtOmTROdbWEfzePHj7FkyRL89ddfACzP62Ql3Cgc6BsaGmpRvDc7XFxcuEi9RCLhe7M7D/UUE4R5MJ+e5UWzsg05LdzI1goMDES1atVEfgO7C6WmpuKLL76wibgJ22/v3r1QqVR8LbVaDW9vb5QoUcKs9SQSCSIiItC5c2eKxRJ5Hp1Ox21GmzZtRMKNwqG+Bw8exJo1a3JUuJHttXz5cvzzzz/8+WyBVquFSqWCWq3mazK7Ze18gidPnmDAgAHklxB5HoVCgW+++Qbdu3fns4WY/87O9/Hjx/H777/j8uXLIhE2U2E+RVbCjazvMDIyEseOHYNKpeJftxYWdy1atCgcHBy4T2KsFsVc6K5DEGKqVq2K8ePHo2LFijyXA0BUw7Zo0aIcFW5ksZPExESMHz8er169spmYCbMbLF4KiGvYrKk7EfYRU56YyKtotVoolUr88MMPaNeunajPVhinPH36NBYsWID79+/niHAjkHG2jx8/jtWrVwOwfb+Oj48P34vV+6pUKiQmJlq8LvklBJE5+sKN/fr1Q8uWLSGVSo0KN+7YsQObNm2ySLiRxS7c3d0RFBQER0dHbkOEftGMGTNw8uRJg+ezBHaviYqKglKp5DUobE6bubFYmk1AEBkoFArMnz8fwcHB0Gg0otoMIP3MHzlyBGPGjIFKpbK4RlUqlaJq1aqYMGGCSLhRv5/42rVrWLx4Mf+erfuJFQqFQT9xTEyM6OfMXZv6iYm8BrtfvH37lsc59clMuJH5I0DuF2708/MDQIKNBEEQuQmy5gRBEATxESEMSjdr1ixb4cbZs2fniHCjUGzg5cuX2LlzJ9atW4fU1FSrEv1Hjx7FnTt3RMMr5HI5WrVqJSpmsOQ9/Pz8MHv2bJQuXRru7u4U2CLyJKxR0s3NDT/88ANatmwpEm4UiqwdOHAgR4UbhSKRixYtwokTJwDYRriR7aFQKPif2f9Z05U1w66oUIgg0mHntVq1ah9MuFGhUHD7BQB3797F+vXrERUVZTMhk4iICERGRvLiQ2Y/SpYsCcDyITW//fYbXrx4wQukyZYQRLqYyYcUbhQ2bJ46dQp79uzB69evbfJuUqkUcXFx3LcSisEWL14cDg4OFtuT06dPIyoqiv+d7AmR29AXbJw9ezaA9IK7nTt3YuXKlXYj3Aikn8GGDRuiX79+yJ8/P7cxQvE1rVaL1atX45tvvsHdu3d5EzuzacL3ENq51NRUrFq1CosWLeJ7se9Xr14djRo1MukZM6N8+fLo1q0b+vTpgx07dpD9IPI0EokEZcuWxbhx40TCjUJ/4d27d9i5c2eOCjcyn+jJkyc4cuQIIiIibPaOzD6x2JCw8YOJvVkSo2Gi0r1796YiZoL4fzw8PPDpp5/i888/Fwk3sgI8nU6Ha9eu5ahwI5B+h1KpVNi8eTP3c2zZuCls2hTGY5VKpUXrSiQSvH79Gr169aIhNUSehvkYEokEY8eO/aDCjfoD9A4ePAjANrkdqVSKlJQU0deYjfLw8LB43cTERIwePZr7JRSLJfI6+fLlw9SpU9G6dWt+z2G+ArMnR44cwejRo3NEuJE1XjCOHDnCB17ZIq8jHFLMhCmFsVjW/G5JE4RUKkVYWBhCQkLorkMQSP+crl69OtasWQOlUgm1Ws0bsIUCAWPGjMlR4Ub22Z6WlobZs2cjPDzcZnliYd5b+H+dTgelUgkXFxeL1qUmcIIwpHTp0h9cuJHtFRUVhe+//96igcHG0Ol0SEpKEuWd2bOUKVMGSqXS4gbNgwcP4u3bt5BKpVCr1VAoFGRDiDxNZsKNOp0OMpnsvQg3Mt/k9evXGDduHCIiIvj9xBrY3ebFixcGz1SyZEl4eXlZvPaNGzd4XS3ZEiKvk51wo/Cc57RwI5Bxd/jnn3/w448/8py0Nf4J+90HDx7wdwbSYzn+/v4ICAiweG21Wg0/Pz+4ubmRPSHyNMyO1K9fH3PnzjUQbmR3j7S0NIwbNy5HhRuZzYqOjsbMmTN5fb0txQe0Wi33Vdg7sjyWJTEaFocdMmQIxUwIQoBCoUCdOnVEwo3CIXpAzgs3srOYlJSE0aNH49KlS1bFYtnv7tq1C/Hx8fzrWq0Wfn5+VtfDVq5cGUOHDkXbtm2h1Wrh4uJC9oPI0zg5OaFFixYYP3686Gyze0daWhrCw8OxePHiHBVuZLmW69ev48SJExbNPsgKhUJhNObKYh+WIJVK8ejRIxoWTuQ5WBzixYsXCAoKwr59+wB8WOFGAAgICEDfvn15fazQvigUCiQnJ6Nv3774999/rR6Qefv2bVy7dk0UPwGABg0a8HyWOWi1WpQuXRpA+r8Ny7OTHSHyGsyOFChQAF988YWBcKOwTjWnhRuFe02cOBFXrlyxWc0JG1LM/i+chWBpvQmQ3sc0fvx4vH79mseLyS8h8ippaWnIly8fQkJC0KFDB5FwI8sRA8DJkyexatUqXLp0KceEG9leW7ZswZ49ewDYpr4eSPchUlJSkJqayv0Pth+LxVoCicAShCHVqlUTCTcym/E+hRtZ/cnjx4+xaNEiXhtmi1ls0dHRePPmDa+tZ2uyc27pHWr9+vUi8RLKExN5EeabKxQKjBs3Dh06dBAJNwp9k1OnTuWocKNwruOKFStMiumYCrMTDg4OvIeYrcv2tFToieY6EnkV/XOZWa2p8AzXrFkT/fr1Q4sWLYwKN8bFxWHnzp0WCzcCgKOjI7p3785nJgnPuEQiQUREBBYuXIiLFy8aPJ+5MPt48OBBqFQqbkfUajUKFCjA73qmwp6PzSZwcHAgm0LkaVxdXTF58mS0bdsWQMadA8ioUf37778xcuRIq4Ubq1SpgvHjx4uEG/Xtw99//42jR4/y71mLUBhSrVaLhOoB6icmCHNgtfJPnz5FixYtcOjQoUx/1phwIwBR/ja3CzcClsdSCIIgCPuDLDpBEARBfGTYk3AjuwiHhYVh06ZN+N///ofk5GQewDeHlJQUnDx5EvHx8fyirtFooNVqUalSJf48liAUbly2bBl27dpFgS0iz8LOgz0IN7KgfUpKCpYtWyYSRLGGtLQ0JCUl4cmTJwZJvPLly8PV1dViUaSzZ8/yoDkNlCCIDy/cyIZ/sp959+4dDh48iB07dlhU5CiE7cd8KDb4nNkPlsy3tFhg5syZaNKkCVJTU7ktIWFpgvjwwo3se0C6+MD27duRkJBg1TsxO6HVarkwG3sXAPD29hb9nLl06dIFI0eOBJBefEW+CZGbyEywUaFQAABevXqFPXv22J1wo4eHB9q1a4fu3bvD29tbJIAAZPgVR44cwaRJk7B06VK8fPmS+xnCn2Vfu3DhAubPn48FCxYAAB/eBQBKpRLNmjVDhQoVTHq+rKhcuTLGjh1L9oMgkH7uy5Urh3HjxqFevXpZCjfOmzfPZsKNxYoVExUgMjuwd+9e7Ny5E2q12ibvJ5PJkJCQwIUghSL1hQsXhlwutyhGo9VqceDAAdFwUio6JIjMhRtZruV9CDeyoQyJiYkYN24c7ty5Y1E+Rx/WBPL06VPR12UyGUqWLGl2Q4SQhw8f8juTSqWiITVEnuVDCjfWrVvXQLgRAN6+fYvff/8dJ06cAGBdYxWzQ2wYl3BYjVQqRaFChQBYFjtxcXFBz549edE3EzMhO0LkZfLly4cZM2Z8MOFGYdzjyZMnOHDggEXiS1nBcjvC2CwAODs7W7zmu3fvMGDAADx79gyOjo7UYEXkedgdo1q1aggNDeW+ukKheG/CjfoDfsPCwrBz505ER0db+3oAMmwIE6IXDtJjwrCWwJrAO3ToQAL1BCHAXoQbJRIJrl27hpkzZ3KxNUvPO/OtUlNTRfW7zB9iImuWrt+/f38MHjwYXl5ekEqlUKlUVHdC5HkyE24U1qXntHAjs1tPnjzBkCFDEB8fzwfTWQIbaqVWqxETE8O/xp7Fw8ODf80SGjVqhFGjRqFs2bLQ6XRkS4g8T1bCjcJzLpPJ3otwY1paGtLS0nDgwAEsWbKE+xeW5naYH3L16lXRPlqtFgUKFLB4uK9Op4O/vz+mTp2KBg0awN3dnewJkWcR2pEGDRp8MOFG/bjJtWvXsH79erx7985mw8LfvHmDmJgYkc0CgGLFivHnMxc28Pj58+c0OI8g9JDL5ahTpw4mTZqEEiVKZCrcuGrVKqxbt45/3VLhxg4dOmDo0KHw8PDgeVZ2JhMTE/HFF1/g77//tsqePH78mIuvABn1soULF4aDg4PVA7vKlSuHgQMHolOnTmQ/CALpwo2tWrXKUrjxyZMnOSbcyPJGMpkM8fHxCA0N5XcTW5GUlMRnFAiFkfLnzw/Asr7l1NRU/PTTT3xYuDBWQ/4JkVth8dSXL1+iX79+iI2NxdixY02qbX0fwo0NGzbE5MmT+frMvrB8dXJyMgYNGoTjx4+Lfs9ce3bo0CHcu3eP20kW4/3kk08glUrNvvP4+/tjwYIFaNiwIdLS0pCamkqxEyLPkp1wo3A2QU4LN7J4b2xsLGbMmIFbt25Z/X7MB3n27BnvM2I1sQ4ODrwm1hLc3NzQqFEjFC1alMesyS8h8irMj3B1dcXQoUM/qHCjUAR25syZOHbsGADbiCPJZDLuh+iLwFoj2piQkICpU6eSCCxB6KEv3Gishi2nhRtZjerJkyexfPlyxMTEWGVP2O+lpKRw/0HYt6yfozaXUaNGoX379gDSbRbliYm8Csuj2INwo7Cf2Fa9f+w9UlNT8fDhQ5H4K5A+19HLy8viuY43btzAq1evaK4jkacQzlM6d+4cAHBBMGO8T+FGnU6HgIAAzJo1Cw4ODqI4L+PRo0eYO3cuzp49a/B85nL9+nXcuXOHi8GyvRo1agSlUmm2nxIWFsbvh6mpqTSbgMjzuLq6Ytq0ae9FuLFq1aqYMGFCpsKN4eHhOHDgAB49emSjt0tHv5+YxVJcXFwsXjM+Ph6DBg2ifmIiT8Dyw+Hh4ejduzeSk5Oz9e2NCTdKJBLujwB5Q7iRIAiCyB2QaCNBEARBfITYi3Cj8CL86tUrbN++Hd9//z3i4uLMTpxt3LgR27ZtAyBOGAwcOBDVq1c3+7kzew9fX1+rihgJIjdgT8KNbM9bt25h1apVokJmS5JvwiYxVtwkTEz6+PhYvDYAfPbZZxg3bhycnJygUCioUIjIteifkazOzIcWbtRv3Hrz5g127NiBP/74Q2QHLNkPAHbt2oWoqCj+dY1GA29vb7Ru3Vr0c+ag0WigUCiwdOlSBAUFITU1FR4eHti4cSPZEoLAhxduFDZHLF26FFu3bkV8fLzF78PsxJYtW/Dq1Sv+LlqtFp6enlbZEyB90Hi/fv0watQoAICDgwP5JkSugZ2L0NBQLtjIilfYWbJX4cb8+fOje/fu6NmzJ/Lnzy8qWBI2Ndy4cQMrVqxA9+7d8eOPP2Lbtm24ceMG7t69i0uXLmHfvn349ttvMX78eGzYsIH/G7Dn0Ol06N69O4YMGcL/bi1sCDlBEBnCjWPHjs1SuHHXrl02E2784osvRMKNbMALAPz888/YsmWL1e8lbLRSqVTc3tpCVFomk6F9+/YYOHAgABKVJgghmQk3sgLG9yHcyOI0cXFxGDx4MMLDwy22WwyFQgGtVisSgWV5KmtF6uvWrYsRI0agZs2aAEBDaog8QWbn5UMJNy5ZsgT16tXjPpAwD3Pnzh2EhobiwoULACy3WSy+e/jwYZEAkkajgZ+fH7cB5sZO2LN07doVo0aN4kXf5JcQxIcXbmTfA9Lz0Vu2bLFI3EAf1kzFGkpZk4dCoYCbmxtKlChh8dqOjo747LPPIJFIkJKSAkdHR7rrEHmerIQb2Z1AoVAAyHnhRqlUioSEBPzxxx84fPgwEhISrH4/Zvfu3bsHIMO3kMlkKFasGIoUKWLx2q6urlzAIC0tjZrACeL/sQfhRiD9/J87dw6LFi2ySrhRWHfy8uVLbrN0Oh1cXV3RsWNH0c+ZQ1paGhwdHfHVV1+hc+fOkEqlcHFxoboTgkDmwo3CwdrvS7jxwYMHGDx4MN69e8eH+ZkLsxHbt29HWFiYqE7OyckJHTp0MHtNhk6ng7OzM1q2bIlBgwbBz88PcrmcbAmR5zFFuJHlhXNauJGdeZaTXrx4MR/kZ2lu58SJE7h7965oGKdMJkOLFi2gUCgstlVsWNeoUaNQpUoV+Pr6YsOGDWRPiDyJvQk3SiQSxMbGYv/+/di1axcSExOtis+w/dg6QuEBAPDz8wNgef3+7NmzERgYiNTUVDg4OECtVlOOmCD+H7lcjtq1a2PixIki4UZhrf2bN2+wevVqq4UbfXx80KFDB4SEhIhqbIXCjd999x12794t8oPM2WvPnj24cuUKgPTzz/I8PXr0gLu7u0Xir/pUqlQJ06ZNQ9myZa1eiyByAx9auFEoBPLq1StMmTIFd+/eBWBdDTyzPaz/T98/sWamgEwmw2effYZatWrxHgbK6RC5GaFgY8+ePfHixQs+f+Dbb7/FgQMHAGSd22DCjX369AGQuXDj9OnT8eLFC7P8FWYrOnbsyPvohENAWb46NTUV33zzDTZs2ICnT5/yvTPbR98GrVmzBitXrgQAbsOA9Dq0Ro0amfSsxggICMCUKVNQrVo1AKBYLJGnsRfhRqFtuH//PhYtWoT79+8DsNw/YTbvzz//FImraTQaFCxYEOXLl7doXfacw4YNQ48ePVC0aFFoNBrky5eP/BIiz6Iv3NixY8cshRtXrlyJS5cuierizd0rM+FGJgKbmpqKOXPm2ES4hJ37V69eARDfdaRSqVWxWFdXV7Rs2VI0A4ruOgSRzocWbmT/xcXF4c8//0RoaCiio6OzvNNkhbCGLTIykn9dq9XCw8ODC7dYEo/VarVwdnbG9OnT8emnn/J+HbrrEHkVVsthD8KNQLqP8ODBA/z++++4dOkSAOt8E9YDHR0dzddnsD5iS/n0008xc+ZMuLu7Qy6X01xHItcjnIsaGhqKgQMH4ocffgCQ9Ry19yXcyPapVasWxo4dC4VCYdC/o9FocOfOHUyZMkUkXG/Jv8WhQ4cQFhYmqvMF0mv32H7mUKdOHYwYMQJ16tQBAD7fkWwKkZd5n8KNVapUMSrcyGzIoUOHsGnTJrx588bq9xL2Ewvr2BQKBVxdXa3qJ3ZwcECvXr0gk8mon5jI1QgFG3v16sVjBydPngSALG2BMeFGtiYJNxIEQRAfEyTaSBAEQRAfKfYi3Chs6mKJ/p49e+LMmTOiAb3s/+w/RnR0NJYtW4b58+cDEAs2lipVCvXq1bPwX8j4exBEbsaSgsCshBuFgzJzSriR2RC1Wo3z589jzZo1uHnzJgDLEvwsYbd79248efKED5QA0pMF1gyoEYrJfvXVVzxoToVCRG5DmNC/fv06YmNjsz2P9iLcyIRTnj17hjVr1mDjxo14+/atxQVDT58+xdWrV/nfmV309fWFg4ODxUVIrFFLLpfjf//7H1q2bIl169aRLSEIAfYk3Dh//nysXr0aL1++5L9n7vmPiIjg9kRYSOnu7g43Nzezn1sfJycn9OnTB2PHjsX27dvJnhC5ihUrVmDWrFkAxDEDoZiAvQo3+vr6okePHhg6dCgKFy7M71nC2I1EIoFcLsfbt2+xYcMGTJ48Gf369UP37t3Rt29fTJgwAX/++Sdev34t+jdgggrt2rXjw7aYDSMIwnyyu+98aOFGoW8yc+ZM7Ny504K3FL8TkC4qHRUVJbq7+fj4oGXLlqKfM5eiRYuiV69eXLjR0dGRig4J4v/JTLiR3Xnep3BjdHQ0Bg0ahCdPnvCBWJaye/du3L9/X9Rw4ejoiPbt2wOwrAmcidY2adIEgwYNQunSpaFQKGjAL5GrEJ4NFnfI6sx/KOHGn376yUC4kX3/woULWL58uaixyhJ7cvPmTdy8eZP7H8yeVKlSBY6OjhY3l7Pfa9++Pb766isUL16c/BKC+H8+tHCjUKA+NDQUmzZtQmJiolXvxNZjYrLsedVqNQoWLGiVwJpSqURISAjGjh0LiUSC5ORkeHp6kk0h8jyZCTey8yj8c04KNzK79fLlS6xbtw6nTp1CSkqKVe/GnpsN42P2iw2qsTS/o9PpuLBarVq1oNFoSKCeIASULl0aw4YNQ9OmTTMVbtywYYPNhBu/++47A+FGiUSCpKQkHDlyBFOmTMHLly95TMVcIiIi8N9//wHIaDpNS0uDu7s7PD09+TOZC3teBwcHfPXVV/j888+xY8cOsiEE8f/Yk3Dj9evX0bNnT25LLCE6Ohr//vsvAIjyUE5OTggICODPZC7sPZycnNCiRQt89913OHjwINkSgoD9CDcK6/kjIyOxceNGTJ06VeRXmENKSgqOHTuGmJgY7vtoNBpotVpUrVqVP48lCIUbp06diq1bt6J06dIWrUUQuQF7Em5k95wXL15g+/btOHz4sFXCjcxO7N69G7GxsXwNjUYDHx8fNG/enP8bmAsTGvjtt98QGBiIlJQUeHh4UM8OQQgwJtzIzuX7EG5k/pBcLkdycjKmT5+OX3/9FRcvXhQ9g7590d9/7dq1WL58OX8nFndp1qwZ6tata/azZoVSqbTpegTxsWOqcOOiRYtyTLiR2ZGnT59i5MiRfIimpTDbc+DAASQnJ3Obo9FoULhwYdSsWdPiteVyOerWrYvhw4dz4UbK6RC5FX3BxoiICCgUCqSkpIhyvo8fP852LV9fX4SEhGQp3Hj27FnMmDHDLOFGoa3o168fvvjiC4P1Wd+uSqXCnDlzsGTJEhw9ehRAhr1Qq9X8nTUaDV/3zZs3+OWXX3jfstBP8ff3R5MmTfg+lhIQEIAFCxbgn3/+ITtC5HlMEW5kZy6nhBuFvUEajQaXL1/GrFmzcOvWLatqW65fv47bt2/zuAx7j8DAQC7KZC5CWzlw4EB07NgRZcuWJb+EyPMIhRtDQkKyFG48deoUVq5cicuXL+eIcCP7/7Nnz/Dzzz9b1JOsvx+Qftdh+Rwg3d/x9/dH9erV+frmwJ6lV69e6N+/P5+v4OrqSjaFIP4fVvteqVIl7jMAENWwLVy4EFu3brVYuJGdxeDgYEydOlXkIzAf4s2bN9ixYwd++eUXREZGWhzrffHiBa5cuQIgY9aJTqdD/vz54eLiYvZ6DGH9ytSpU9G1a1eyI0SuxNjneHa9fx9auFHY+/fvv/9izZo1vM/GmrvOnj178ODBA1Ee2tnZmc91tGRdZtc6d+6M7777DjqdjuY6Erka4XzHdevW8XlKO3fuxOTJkwGkn28mRKbP+xRuBIDmzZujd+/ePM/D/BjWu/vs2TOMGjUKu3fvFv2+qT7LunXrsGbNGgAZcxkBoGfPnqhfv75Zzwxk9EQ2atQIgwYNQoUKFaBUKrF+/XqyKUSehwk3tmvXDkDmwo0jRoxAamqqTYQbq1atarSfeOPGjdi4cSMSEhKseidhPzGboQ2k54H8/PxQtGhRi9dWKpUYMGAAxo0bB5lMRv3ERK5EKNjYu3dvREVFQaFQAEif6Qgg29zoxyjcKLy3WHo3IgiCIHIXpFxEEARBEHaCJcEoexBu1B8AKpfLERYWhjFjxmDcuHE4dOiQaMgoG2iTlJSEtWvXYurUqViyZAkA8IIEFqRv0aIFGjVqZPazEkReRHh2jh49imvXrmX7O9kJNwqDXDkt3CiTyZCSkoKjR49iyZIlVhUfRkVF4dKlS/w9WMDf0dER3t7efF1zEQ63GDBgACZOnIjNmzdT0JzIVQhtyZo1azBo0CCEhobi3bt3H4Vwo7DZ/Pnz59iyZQuWL1+OZ8+eWTQsfO/evbx5nA2nAYD+/fvD29vbqoZQViCgUCjw888/o2zZshavRRC5FXsSbvztt9+wevVqLrzI7lqmsn37dpw8eRIAeAMXkO5T+Pv7m/3MxnB2dsagQYNQpkwZm6xHEPZATEwMtm3bBgBQKBSic8fOqb0LN/r4+KBTp06YNGkSSpcuzc+/8PeZ3WH3L7VaLSqgFIqWaDQafl/r3LkzFixYwNewtvmbIPIax48fx7lz5wBkf67tTbjxhx9+wLp166BSqfjvmRs/efHiBa5fv87/zmxI/vz54erqanVRUUBAABeuJVFpghCTlXAj8z/el3Djixcv0KNHD9y8edPiIbxxcXG4ePGiKKbMYh4lS5YEYNmAX/bOTLhx9OjROHToEA34JXINwljs+vXrERISghMnTgD4OIQbhef9woUL+N///ocDBw4AEDeQm8rBgwfx4MED/u/C7kTBwcFQKBQW2yjh3bBr167klxCEHh9auFF4z/n111+xatUqRERE8N+zxHadO3cOt27d4u/B7joNGjQwO66rj1KpRO/evfH111/D2dkZ69atI5tCEMhauJF9rrNmrZwUbmTPEh4ejqVLl+Kff/5BfHy8Ve926NAh3L59W2RT5HI52rRpA8D0RnIhzJdydXXFsmXLUL58eQCgwRIEIaBUqVL48ssvMxVuBGAz4cYmTZoYCDeyO1VycjJOnjyJkSNHIiwsTJSHMdV+bd++HX///TcA8QCNIUOGoFChQmY/uxChcOPXX3+N4sWLW7UeQeQ2mHBjSEgI8uXLl6Vwo6n5IiH6wo39+vXLVLjx0aNHGDhwIC5cuCDyT0zda8uWLTh48CAAQ1ti7dln7+Hs7Iy2bdtaJXZPELkNexRuTExMxNatW/Hll18iOjo627ipvp3ZuHEjtmzZAkAsOjBgwAAEBgaa/dz6sH+zQoUKoWDBglavRxAfO/Yi3MjuOBKJBI8ePcLq1auxdetW3h9gSXzjyZMnRmtOChcuLBpSbi7MNrG4SYMGDSgOS+RqdDqdRefFmHAjsys5KdwoFHdj9islJQXbtm3DlClTsGrVKsTExIieh70fe66bN29i7ty5mDNnDn8XZhfz5cuHoKAg3vtHEETOYYpwY3h4OBYvXpzjwo2PHz/G0KFDcevWLave6d69e1xcSViXX7ZsWZG4giXI5XLUrFkTn3/+ORo2bIjQ0FDyT4hcR2aCjax/hQkhKpVKpKSkmLRmTgk3MhwdHdGvXz8MGjSIr89mlbA/azQaHDp0CN9//z2mTJmCy5cvIykpieevpVIpF3jcuHEjfvzxR/zyyy8AMuaeMNq1a4cWLVqY/HxZUbhwYZv1ExLEx052wo3C+rKcFG4E0m1CamoqLl26hAkTJuC///6zaI6ATqfDwYMH8fjxY4Oa2JYtW4r6kMxFaCu//PJLrFu3jmrrCQL2I9wovFPdvHkT8+bNw5kzZwBYbrNu375t9K5TpUoVXlNjLsK4cJcuXdCjRw9UqVIFW7ZsobsOQQioWrUqxo8fz4UbhcLSzD9ZtGiRxcKNQrvQvn37TIUbIyMj8ccff2D27Nl4+fKlRf06u3fv5vZIOOtk4MCBPC9tKSzO4+zsjB9//JHsCJHrEPb/HTp0CKdPnwZgWu/fhxZuFPb+nTx5Er/88guOHTvGn99cPyImJobPYWOxJPaezPey5A4lvOd06tQJs2fPJr+EyLXoCzbOnj0bQHq/mkQiwbZt2zBt2jQAGUJkxnhfwo1Aepy3S5cu6NixI6/pYHENdkdJTk7G+PHjMXfuXF5LwnwWYQ+hcI5SdHQ0fvnlF1HemNWyBQQEICgoyOxnFf7bMOHGkSNH0mwCIldiaW2Wq6srpk6dmqVw4z///IORI0faRLhx/PjxIuFGYbx3+fLlWLFiBV6/fm3Ve50/fz7TfmJmFy1FqVSiR48e+Pbbb+Hq6kp1bESuQyqVIjIyEt27d8fbt295flUul+Ply5cm18RXrVoVS5YsMRBuFNbA24two0aj4f6Y8O5EEARB5G0kOpLxJQiCIIgPgjBonhmmDtwXrvX3339j0aJFePz4MU9qsQSdRqNBvnz5MH78eLRp04aLs5mDcEjfihUrsGTJElEjFQCDwJSfnx/8/f3h4eGBfPny4dGjR3j37p1I/E1YzMiEB2bNmmWwJ0EQhghtwNq1azFnzhzUqVMHY8eORcWKFbP9fXbG3r17h5kzZ+LIkSNc3JUV/bIz3bZtW3zzzTcoWrSoRc/K9nr8+DG+/fZb3L9/n9spYRK+XLly+OKLL9CsWTOj75kVv/32G3766ScAGaJoADBhwgT069fPoucWQmIoRG5FeMZCQ0P553CRIkXQoUMH9O3bF25ubtmeRfb9q1evYtSoUQZFf8LBUVOmTEHPnj2tft69e/di3LhxADJ8ClbY7OzsjBIlSmDq1KmoVKkS/339s8wSBIzff/8d8+bN42uyZ27UqBGmTp1q9fA8giBMJzo6GhMmTMDx48f58Bhhgkun0yE4OJifWUs/qzUaDS5fvoyZM2fiwYMHBsP6AKBWrVpo3bo1evfuzX9PeO/SF5FTq9XYsGEDF5gV2pN69eph8uTJKF68uMl+DkHkNVQqFZYuXYrVq1cDSD/fzKdghXKs6YDZBT8/P3Ts2BEhISG86ciUmMLz58+xefNm7Ny5E7GxsVy0nd1TJBIJWrZsib59+/JBdeae3ZiYGIwfPx6XL19GQkICAHHhoP67sT8DYh+qaNGi/G4GGPoxBEFkz5o1azB37lw0bdoUgwcPNvlc63Q63L17F/PmzcO5c+d43ERYMOzm5obOnTtj7Nix3IZY4pskJCTg6NGj+O233/DkyRORSD2zB8OHD0dwcDAfoGvOXkuWLMGyZcsAiMWvZ82ahc6dO5v9vJlBNoogMic2NhYHDx7E8uXLERERYdT/qFq1KgYOHIhWrVoBMN//YDx48AAbNmzAvn37kJyczPeSy+VQq9Vwd3fH9OnTUatWLXh5eQEwPTeTWTx25MiR+Pzzz81+Vn3ovkTkRjKLxdaoUQNffvklGjVqZPBz+rDPfZ1Oh3nz5mHXrl280VsYP9HpdKhTpw7GjRuH8uXLW3Se2F5xcXH49ttvcf78eYPcjlQqRb58+dC/f38MGzaM/64xW6L/tcxisW3btsXs2bOhVCrNfmZ9yJYQRNbEx8dj0qRJOHz4ML/nCAc+pKWloWXLlli4cCEUCoXF9xytVourV69i1qxZokYo4T2nT58+6NGjB29eMqdeRK1WY/78+QgNDQUgvuusX78etWrVMvuZjaFSqZCYmAhPT0+brEcQuQV2Xq9evYp+/fpBpVJBoVBArVYDgOjP8+fPR/v27QFY9zm9ceNGzJgxA4Bh7VnRokXRr18/tGnTBl5eXmbvk5ycjFmzZmH79u0AMmyKXC7H5s2bUblyZYuemcH+vRISEhAbG4vChQtbtR5B5EYePnyIZcuW4dixY0hKSjKohQXSfYdevXqhRIkSZq8vtAsnTpzAggUL8OjRI1H+l/2cm5sbpkyZgsDAQD5chsWFmV+kVqv5kF+VSoXQ0FAsWLAAQEY+SKfTITAwEFOnTqVmbYJ4T0RERGDPnj1YtWoV4uPj+Xlkdx0mdhISEoJ69eoBMM8/Ef7stWvXEBoaisOHD/N7k3D4Vf78+dG1a1e0atUK5cqV42uwxnSJRCKyJYmJidi4cSMWLVoEQGxLqlSpgilTpphUI0wQhHXo+wyrVq3Cf//9Z/Sce3p6YujQoWjfvj18fHzM3ksYB1m7di1+//13vHnzBgAM8kilS5dGSEgIatSogcKFC4t8GGE9DQC8ffsWW7duxf/+9z8AGfentLQ0FC9eHN9//z2aNGlii38ugiCMILQjZ86cwbhx4/D27Vuj9fVSqRRz587lcRNzEdqRDRs24McffwRgWF/v7++Ptm3bol+/fsifP7/ZMd/Mak4WLlyItm3bWvTsQoRiK5TfIXITpuY8TP05Jkb/448/IiwsjOeP2RoAUKBAAQwePBj9+/c3a219IiMjsW/fPqxYsQJxcXGigZzCPuIaNWqgaNGiaNWqFby8vPhd5+XLlzhy5Aju3LmDBw8eAMgQQmIxFqHoLJ1/gng/JCcn488//8Ts2bNFZ1vYF1OsWDGMHDmSC5VZej7Dw8OxZcsWrF+/nn/WMx9Eo9EgICAAU6ZMQbVq1eDq6mr2XgsXLsTKlSsBiP2TX375Bc2bNzf7eY2h0WigVqstms1AEPZMVoKNQpiv8euvv6JJkyYmn9GIiAisXLkSGzZsAGDYQ6NUKlG/fn1MmjQJhQoVMttfiYmJQWhoKL+jCNdnvTnMR/L09ISbmxvKly/PReGePXuGiIgIPHz4kK+pn3vu0qULZs6cKfr3IgjCtjCb8ubNG/z22284dOgQYmJijPbVffrppxg4cCCv27DUP7l16xZmzpyJ69ev87gMkHGfcnFxwYwZM9C0aVP++W8shqK/P+tXAsQ1sR06dMDs2bNtYkPIFhGEcYT1WCtXrsSePXsQEREBIKO+nvkJjRo1QkhICAIDA0UzAszd69mzZ5gxYwbOnz8PlUol6neWSqUoVKgQvv/+e9HsJHOYO3cu1qxZA0B81/n111/xySefWLSm/jsA6XXETEyKIAgx165dw+zZs3Hz5k3uM+jXsI0aNQqfffYZ3N3dzV5faH/279+PqVOnIjExUSScwu40hQsXxpw5c1ClShXeZyMUoAbE/bxarRZr167F/PnzAYh9k/r162Pq1Km8N5kgCEOMzXWsUqUKRo8ejTp16hj8jD7s/qBWqzF37lzs3bsX8fHxAIz7Jt999x3KlCljVe/f27dv8e233+Lff/816P2TyWQoUaIEBgwYgC5duhh9z6xYvnw5Fi9eDEBsT8aMGYPBgweb/cz60D2HyO1kJtgozM0wmzFw4EA+T9HUNf/991+Ehobir7/+4vVswlozd3d3dOnSBb169bKod+XGjRsIDQ3FoUOHRHkeQBy3KV++PKpVq4avvvoKTk5OcHFxMVhr27ZtuHDhAg4cOMD/DVjOWKfT4YsvvsCIESPMfkYhlG8mcjP6otL+/v6oWrWqWWskJCRg6tSp+OOPPwBk1KcCGf3En3zyCRYvXgwHBweL+4nT0tJw/fp1zJ49G9euXTPaT9yzZ0/07NkTZcqU4b9jqk+g0Wgwb948o/3EoaGhqF27ttnPbAyVSoWkpCR4eHjYZD2CsCdOnTqFkJAQODg4QKVSicRTN27ciJo1a5q81rVr1zBixAi8evVK1PsiPJsNGjRASEgIateu/d79f2Fd6nfffYeiRYti2LBhPDdM9xGCIIi8C4k2EgRBEMR7hl3CWKHNqVOnEBMTg8ePH8PFxYUX+pYoUcKsgIw9CDcKG0YBcdOoUFSFYawAAQDat2/PE/0kjkYQWZNZEs7Z2RnVq1fHyJEjRSJlmfGhhBu/+eYbPHjwwEDoiDF27Fh06tSJD7wUDqfR6XR8IB4ApKamIjQ0FAsXLgQgHlBTvXp1TJw4kQbUEEQmZJXQ12g08Pf3R7du3dCzZ0+T/BN7EG7UFz9ycHDAsGHDUKVKFT5gyxiXL1/GX3/9hXXr1vG1WDLf0dER48aNQ48ePSx6XoIgLIcJnWUl3GiLe0Rmwo3CYkepVIo2bdqga9euqFixItzc3IyudfbsWfz999/YuHEjALE9USqVGD16tE0EpQkit/Po0SN0794diYmJogIfxsci3ChcZ+fOnTh9+jSOHDnCv88ED4RD89h9hw0yB4Du3bsjKCiIN1RR3IQgzEcojCSXy9G0aVP069ePi3d8bMKNLVu2ROvWrfHpp58afVZ9UWmNRoMNGzZgzpw5/N+ArdWwYUNMnz4d/v7+VIhMEO+JzIQb2dl9H8KNLE7j7OyMzp07o1WrViJBIzYkXKfTQaPR8IHhCQkJ2LRpk9GB4RUqVMDkyZNRrVo16/+RCCKXkVksljVVVaxYEd988w0aNGiQ7VofQrgxNjYWI0aMEAk36sdp2rVrh9atW6NBgwZZ5qIfPnyI/fv3Y/ny5QDEsRNvb298//33aNeundnPShCEZXwo4UZmx7K652QW29H3i1avXm10qMRnn32GadOmmf2sBEGYT2bCjew8CvPE70O40c/PDy1btsRnn32GEiVK8H1M2W/FihWi+w577iFDhuC7776z6Fn1oWYugsie9yncePz4cSxcuNBAuJHlapycnNCoUSMEBQWhc+fOma55/PhxnDx5Eps2bQIgvuvIZDKMGTOGCyUQBGEawhiIUCzVVN6ncOPVq1exfv36TIUbnZyc4Ovri379+qFBgwaZ1uEeOnQIZ8+e5QLSwqE0EokEo0aNwpAhQ8z6dyAIwnJMEW5keeGcFG5kX2e1bO7u7ihQoAA+//xzlCxZEuXLlxcNJAaAzZs34+rVq/j7778BGIoj2WLIFUEQ2WOPwo358uVDuXLlMH36dBQvXpz/vn7sVzjcFwB+//13zJs3j6/J7mZBQUGYNm0aF7onCCIDYZxBIpHg2rVriI2NxbNnzxAVFYX8+fPDyckJlStXhp+fn2hwZXZ3E3sQbgRg0B/M7Ab7mbS0NH4PY/EWYc9Pu3btsGDBAgBUF0sQ7xt7Em709fVFt27d0KpVK5QuXZr/nv5++naMDUwHxP5JmzZtMH36dBIeIYgsyEqwUX8cGfscX7RokdG69azIaeFGtVqNzZs38x4BAKL7FovbCG2EPvqxXPa+bdu25XMLyE8hiJzFXoQb9fPRffv2Rf369dG0adMs13ry5An27t0rEpFlsZgCBQpg3LhxZttPgiDMx96EG9m+48ePR8eOHfn9xJhfoe8DZSYC27ZtW8yePZsLtlkD1a8RhGnoCzca809sJdy4b98+TJs2zUC4Udj/1717d9SuXTtL8dZz587hn3/+wfr16wGIfRMHBweMGTMGvXv3NvtZCSKvkFn/n6OjIypWrIivv/4adevWNfhZfexNuJExZMgQ9O3bFz4+Pty+sHoSthbL9SQnJ2P9+vVG+4irVq2KCRMmmC0URRB5jezmO0okEl6v7uXlhfXr16NkyZJmr50Two3C9W/evIlt27Zh165d3G4wX0j4LjqdDv7+/nB3d0fjxo0hlUrh4OCABw8e4PHjx7h9+zZfX78HqFu3brw/iO4rBGGIMVHpypUrY+rUqWbPWbYn4cZmzZqhdevWvF7O1H7izOrYunfvjunTp5v9rASRF0lKSkJwcDCeP3/OvyaXyyGRSDB//ny0bt3arPXsVbhReOfp168fLl26hGLFiqFbt27o378/CTcSBEHkcUi0kSAIgiA+AM+fP8eyZctw//593Lhxw+D7crkcnp6eaN68ORo0aIDmzZvz72WVnLMH4Ua2f2bPyZ6DPQsAHtgKCAhAmzZtMGrUKP51YWMnQRBiMkvCKRQKqNVqKJVK1KtXD8OGDTMpqZ2dcKOwUMhWwo1hYWH49ttvDYQbhUH0pk2bolq1ahgyZAhvzNTnyJEjOH36NLZt2wbAcEDNd999h0GDBln0rASR28kqoS8czODs7Izhw4dj4MCBJhX22JNwI9tLJpPB0dERzZo1Q4kSJVC/fn2oVCrodDo8efIEp06dwq1bt/DixQu+hnA4Ta9evTB58mSDfQmCeD98aOFGtgf7v6+vL/Lnz49PPvkEBQsWhJOTExwcHPDo0SNcunQJd+/e5QOz9O1Jjx49MHXqVL4W2ROCMA67N6xatQqLFi3i/j0AXhwsbFxivwPYp3Cj0C5pNBo+aPPkyZOIi4vLtPk7ICAA1atXR3BwMOrVq8fXoCQ/QZiPsODOwcEBqampAIAWLVqgf//+/Fxnx4cQbly2bBnCw8ONFiAWKFAAQUFBGDx4MLy9veHq6mp0rcuXL+PIkSMIDQ0FYChS/91331GjFUF8AOxJuFEul8Pb25uLN5YpU8aov7Fnzx5cuHABu3fvBiCOx+p0OowcORKff/65df8wBJELyS4Wm5aWBkdHR/j5+WHKlCm8eTMr7EW4ERDHfL28vFCkSBH06NEDBQsWRNmyZSGVSvH27Vu8e/cOf/zxB27cuIHr16/zfwNh7KR///4YP368wb8bQRA5y/sWbpw5cyZu375tVLjR398fzZs3xzfffAOlUgmlUimK0TAbBwAvXrzArl27sHTpUgBiu+rv748ffvgBzZo1s9G/EkEQ2ZGZcKNarQYgboJ8H8KNTk5OKFy4MCZOnIhatWqJ7jjsWYWx1ujoaGzbtg0//fQTX481h5UuXRoTJkzgYk4EQRgiPMssrsGGLwCw6Jzbg3CjvvBAYGAgChQogPr16/P7zJMnT3D9+nXcvn2b38v07zpCMWm66xCEcYydjazyoqbmTO1BuFG/zqVIkSIICAhAyZIl4eXlhbS0NDx79gyPHz/GvXv3eP0uDaUhCPsgK+FG/SF3OS3cyJ5FaFNcXV1RqlQpODk5wc3NDeHh4UhISDAYoiG0J506deJxarInBJHz2KNwIwC4u7vjq6++QqVKlVCjRo1M17xy5QqOHDmCNWvWGKzl7OyM77//Ht26dbPoeQkiL/Ds2TNs2bIFt2/fxrlz54z+jLu7Ozw8PPDZZ5+hatWqqFmzpklr24Nwo9DGsXiQUKRR+ExsODGQbks6duzI7RQJIRGEdVgaczRFuLFo0aIYNWpUjgk3svuUi4sLSpUqhYEDByIoKAiOjo78d/VtxP3797Fv3z6sWrUKgNg/8fDwwLhx49CxY0ezn5Eg8grmCDYCGT07U6dORffu3c3eL6eFGwHg8OHDWLx4MV69egWVSiXaQ/9d9PuTAHH9m5OTEzp16sT7iWnuCUFkjbH6i8x+JivsVbjRxcUFTZs2RePGjVGpUiW4u7vD0dER0dHRSEpKwu7du3Hjxg38+++/AAzzxAMHDuTzDyhPTBA5jz0JNwrrYjt16oT69etnG/d99OgR9u3bh+XLlwMQ33W8vb0xbtw4i2PHBJFXyOosWxob/ZDCjfp3FiZ00LJlS/j5+aFJkybQaDRIS0vDkydPcOHCBdy6dSvTWSc9e/bElClTDPYlCCKdzPr/lEoljzfUqFEDQ4cORcOGDbNdz16EG4X5GwCoXbs2qlSpgqFDh8LBwQEODg4G6x04cABnz57Fzp07ARj2EY8ePRohISFmPydB5CWyE2wEMubGenl5YdOmTShWrJhZedP3Kdz46NEj/PHHH1i9ejXvFRLW2AtjrplJXujHXlhOuW3btli4cCEAyhsThDGyEpWuUKECJkyYgEqVKpm15vsWbpw1axauX79udG6Sn58fmjZtipEjR8LBwcGqfuIJEyaI5vgTBGEcrVYLrVaLHj164Pbt26I8j3BWqrmxA2PCjQBEYvLvU7jRmGAje8ciRYrgs88+48KNFCchCILIm5BoI0EQBEG8R8LDw3Hu3Dn88ssvePv2LQDwAhsWPNZqtZDL5VCr1TyA3LNnT3z66acIDAwUNTkYw56EG9nzsPc05nY4ODhAIpGgd+/eqFOnDho3bgyAAuUEkR1ZJeGETY06nQ6tWrXC/PnzoVQqs103O+FGYZArJ4UbARgMuypZsiQKFy6M+vXrQyKRwNHREffv38e9e/dw69YtJCUl8X8D4UCJ7t27Y/r06Qb/bgRBmJbQZwVDLi4u2LNnDwICAsxe/0MLNzL/hxX8MITDhhnMfrJ/A0roE4R1sPOZ2WewuUXNH1q4Ufg+bD8hwu8xG0P2hCCs599//8Xo0aPx+vVrUXGPj48PvLy8cO/ePQAfh3CjMaKjoxEWFoY7d+4gPj4eUVFR8PT0hI+PD4oWLYrKlStzcQKCICznv//+Q9++faHVaqFUKqFWq/m5lsvlaNy4Mfr27Wvy0H17EG7UH25VrFgxFCpUCC1atIC3tzecnJwgk8nw9OlTnD59Gnfu3OFDOanRiiDsi8yEG4X+R9WqVTFo0CC0bNkSgO2FG4WxXwDw9fWFt7c3ypYtC09PT+h0Ojx//hwvXrzA/fv3eUxHPx7bpUsXzJw5k/+dBvwSRDrZ5XWA9OYqlUoFHx8fbN++HX5+fiatbU/CjUKfR6vV8oYxX19fpKWlcVGEhIQEvqb+sD9hbIfsCEFkT3YDr8w9Rx9KuDGze06FChVQt25dtGrVCgULFoSvry9/zsTEROzYsQNXr17F6dOnARjedUJCQjB69Gizn48g8irCPAgTHAHE+QxT7iKZCTeyAZ9CEcecEm4U3m+Yr9KpUyfUqlULLVu2FMVck5OTkZaWhj179uDSpUs4fPgwX0doU7766it8/fXXFj0fQeR2zPE5ssshG8MehBsBGAyHMAbliQnCepKTk5GQkIAjR44gOjoat2/fRkpKClQqFQoUKICSJUuiRIkSaNKkCRwdHU0+T/Yg3AiIxZj0a9cYLLaib0vatWuHBQsWACBbQhAfAnsTbgSy908yE6G2RY0dQeQlLPUJsvrehxRuZHETtpdCoYCzszM+/fRTFC1aFA0aNEBKSgo0Gg2ePXuG48eP4+bNm3j69ClfQxgz6d27NyZNmmT2vxVB5AXu3r2L06dPY/Xq1YiJiQEg/nwW1qSzYXQKhQL58uVDSEgIevfubVLtqD0INzKEsR/hYDzWm8SoW7cugoKCMGDAAADkkxCEuZh6hk09W6YINxYrVgwjR47MMeFG/f6g5s2bo1SpUvjkk0/g4+PDa18iIiKwb98+3L59Gzdv3gRg6J/069cPEyZMsOo5CSI3k5VgI5BRA8bsDDtHwppzS3yJnBJuFJ7za9eu4Y8//sDhw4cRGRkpirUKxaaFv6MvWlCzZk20atUK/fr1A0B+CkFkhf45jY6ORkxMDN69e4ekpCQ4ODjA29sbxYsXFw3FzSpfbA/CjWwNYS0/u7c5OzvD3d0dTk5OiIyMBABeswsY1sR26NABc+fONfrvRRBEzmEvwo2A2G45ODggMDAQzZo1Q8WKFVGgQAE4ODggJiYG8fHx2LdvH27evInr168DMLzr9O/fH+PHjwdAdx2CMIaxz1q1Ws3vG8Yw5yzltHCj8PkzE27Uv7+wr+nniqmGjSAsw5S5jkD6eW3SpAmWLFkCR0fHbNc1R7ixYcOGGDNmTI4INwKGcx19fX1RpEgR1K5dGzKZDC4uLrh37x7CwsJw+/ZtntvJaq4j3XUIwjim9BSzudOenp7YvHmz2YKNxvbKCeFGIXFxcTh58iQmTpyI1NRUABk+SlpamkHcVWgj9OtogfQZl507d8bUqVMBZAgrEQRhHKE9Yf15crkcVapU+SiFG/X7icuWLYt69eqhRYsWKFSoEAoWLAgAePfuHRISErBz505cvXoVZ86cAUD9xARhDcx/+N///oelS5fyvCo7j61bt8ZPP/1k0drXr1/Ht99+KxJuZPVyzA+qX78+hg4dmqPCjcYEG5mfwXyRokWLom3bthg+fDjdawiCIPIoJNpIEARBEO+Jc+fOYcuWLTh9+jQSExMNioiFiW8WYGaNVgBQuXJltG3bFv369cty4J5wPcA+hBuFVKlSBRUrVoRUKkW+fPnQoEED+Pj4oFixYkbXJAjCkOyScMIBd25ubti+fbtZwor2JNwoLGAWFgvpQ4VCBGE+2Qk2SiQSntD39vbGxo0bLUro24twI0NoV1iiTl/4jRU5AYCjoyM6dOiAadOmASBbQhDmkpCQAKlUiujoaCQnJ/NiQw8PD+TLl4//nLB5M7u7gD0INzKExUEM5pdIJBKRPXF2dkZwcDAvECJ7QhDmMWfOHKxduxZAxjlzdnZGly5d8N9//+HWrVv8e8D7E27s168fatasCcCyJidTn4diJQRhPc+fP8emTZuwf/9+REZG8nsJE0cCgJ9//pmLoZmCPQg3svuNvkg9AL4PuxNlFj+hAb8EYR+YKtw4cOBAtGrVCoDthRuBjFiNsNhRHxoYThDmYU5ex9vbGxs2bEDx4sXNugfYk3AjQ5jvFg7jFMZY9Bs9O3fujFmzZon2IQjCOPo2Ij4+HklJSVCpVIiJiYGLiwv8/f2h1Wrh6uqa6e8Z430LN86aNQu3bt0yGPbHnpft6+3tjQIFCkCtVuPdu3fQaDSIiori6+k3gdPAK4IwHWNnJCUlhedTtVqtKK8DZH8fsSfhRn0Rk9KlS8PR0RFFihSBXC7H06dPERsbi8ePH/O19G2K0E8hm0IQxklKSsKrV69w+vRpREdH4/79+5BKpShQoABcXV0RGBiIYsWKWVxnZg/CjfoDfIVDi4V5Y2Htr5ubG9q3b88FTOiuQxCZEx8fjwcPHmDJkiV4+/YtHj16lOXPlypVCq1atULz5s1Rvnx5k/awF+FGIcI6E+H9S2hLvL298emnn+KHH34AQLaEID4kpgg3Mv8kp4Ubme3Qt1MsBsvisUDGYIlixYqhVatWGDlyJP86DbkiiMxh55D9/9y5c0hNTcXz58/x9u1b5MuXD4UKFYKrqysfHMNiCqb0/NmDcKOxmhOWBwYgsjNMgE3YD0k9OwSROQcPHsSaNWvw8OFDJCcnZypKxmB16cJ69W7duqF3794oV65ctvvZg3CjsbElTk5OSE5OhouLC3x8fFCyZEm0bt0aderUga+vLwCyHwRhDvrn9tGjR4iLi0NERASioqLg6+sLZ2dnlCxZkg+wNBV7EG4EDPM6Tk5OkMvlkEgkUKvVSEtL40OAAUNhJGE/EeV0CMKQ7AQbhXkXNzc3vHv3TjQHpWXLlvj5558t3v99CDcmJCTg5cuXWLBgAcLDwxEeHi660wAQva9Wq4WjoyOUSiWGDh2Khg0bcv+L/BSCyJ7IyEgcPXoUFy9exIULFxAdHS2yG46OjihRogTKlCmDrl27onz58nBxcQGQ+We1ULhx+fLlOHjwYJbCjQMGDECVKlVEv2sumQk3AhnxEeG+xuY+CXM7ANCpUydeM0z2hCDeP/Yk3CjsKWT3F5lMBk9PTygUCsTExEAmkyEhIYGvqX/XCQ4Oxrx580T7EQRhSGJiIp4+fYq//voLERERePToEVQqFby9vaFUKlGuXDnUq1cPJUqUgJeXFwDrhBuN1bDltHAj6ylm/2c+SFazk5ycnNChQweadUIQWWCOuJq7uzu2bt0qmp2aHfYk3GjsjmMMmutIEJaT3XxHIENszVrBRmN75rRwIwDcuXMHCxYswP379xEZGWl0LoLQ7rD/C+Mn1apVQ6tWrTBw4EAAZFMIIju2b9/O+1KEuR2W//hYhRuN9RMDgJeXF3x9faFWqxEXFwetVovo6Gj+feonJgjbwGyL8PM6LS0NhQsXxqZNm+Dj42PReTJFuLFBgwYICQnJEeHGzAQbWb2s8D40cOBAPr+aIAiCyHuQaCNBEARBvAcOHjyIpUuXIjw8nA+6ZRc0diHV/zNDeJEsWLAg2rdvj5EjR36Uwo06nQ7FihXDypUrERAQYPY+BEGYJ7Lm5eWFTZs2WZSEsyfhRiHC4gL2PsJhNaxQyMPDA+3atcPEiRMBUBKOIPQxx5bYIqHP9rt27RpGjRqFFy9eZCrcOHnyZPTq1cvq9zIm3CgcGGHMT9EXI2jcuDGaNGmC3r17AyBbQhBZISyY0Wq1OHjwIN68eYOjR48iISEBsbGxSEhI4PeNAgUKwMvLC9WqVUO9evVQtGhR+Pn58fWyK2z+0MKNwoIChtA/EhZIAUCLFi3QqFEjdO/e3arnIYi8CLMvT548wciRI3Hnzh0+mEahUOCzzz6Dl5cXdu/ejfDwcADvT7hRKpWiRYsWVgs36v+ecLivNQPKCYIw5NWrV9i0aRN27NiBmJgYKJVKLtj47bff4ssvvzR7TXsQbhQO4zT2NeEALn2R+uDgYEyfPh0A+SgEYQ/Yg3Cj/nqmDAzPnz8/2rZti++//x4A2ROCEGKOYKOnpyc2bdqE4sWLW3SOPoRwY1xcHEaMGIFz584ZNIEL0c+JC+MoAFC1alU0a9YMQ4cOBUCDwgnCVKKionDlyhUcO3YMd+7cwYsXL5CWlob4+Hg4OTmhYMGC8PLyQnBwMEqVKsXjF6ZgD8KNDOFQTuH3hD+r3ywubLAi34QgTOPdu3d4+vQp/vzzTzx69Aj379+HRqPhZ6tKlSooVKgQ2rVrh0KFCpkkOJKZcKNarRblpIGcE25k9kPYvKnf/C2Mm7CGdOFgCVvknAgiN/Pq1Svcv38fS5cuRUREBB9wp49CoYBcLkfr1q1RoUIFdOvWDXK5nN+PTDlb9iLcyBDaEGO0adMGDRs2RJcuXQCQDSGIrLhw4QKOHj2Kffv2IS4uTjRAm+VchDEFdu6VSiXc3NwwefJktGzZ0qS97EW4Ub+WTd+esHtY586dUa9ePe4rkS0hiA+P8JyfPHkSK1euNBBuZPbKw8MDQ4cORXBwcI4INwr9k8x8E0dHR8jlcvTu3Rt169blto3sCUGYRlhYGLZt24bbt2/j4sWLmf5c9erVUaJECQwdOhRFihQx2i/IsDfhRiDDhgh7drLKESuVSnTs2JFqTggiE7Zt24Y5c+YgKSkJgHigHfMT9O87xnIjQLowUkhICCpXrpztvvYi3MhsXJEiRdClSxe0bt0aUqkUBQoUgFwuF+1HdbIEYT4vX77E/v378d9//+HSpUtITU0VDZXTarXw9/dH4cKF0blzZ1StWhXFixc3ae2UlBT8+eefmDVrVqbCjUWLFsXIkSN5LMbWwo1sPaF/IvRbMquJBYDOnTtj1qxZAMg/IQhjZCXYyOKxzAcZM2YM3NzcMGnSJH7udDodqlevjrVr10KhUFj8GZ5Two36qFQqvHjxAkePHsXt27dx6dIl6HQ6JCUlIS0tDQqFAsWLF4e3tzfat2+PMmXKoHTp0vz3yU8hCEOE5+Lx48e4fPkyzxOzz+20tDQolUrodDqo1WqRbZHJZAgODkazZs3QvHlzAJl/ZguFG3/77TccOnTogwk36sdghb6K/rMAQKVKldC8eXN88cUXAKgmliA+JPYk3AgYCiQxe8Jq1oT1sSQCSxDm8ebNG9y+fRtLlixBZGQk3r59a/B5LYwv1KpVC0FBQRg8eLDZe+kLNxrzT96HcCNDP76s//emTZuiSZMm6NGjBwCyIwRhDHMEG62Z62hPwo3CdxbOJmDvw2pghHMdvb290bZtW0yYMEG0B0EQYj6EYKOxvXNSuJGt8/btW1y5cgVbtmzB+fPnjeZz2H/MH1MqlZBIJPj888/RsGFDHs8hm0IQ2bNixQqsWbMG8fHxIhF54OMXbmS1M2xvY/FZoV2hfmKCsB3Pnj1D165dkZiYyGs2AMDJyQl79+5FkSJFLF77Qwk3ZiXYKIzFpqWliXqHKT9MEASRNyHRRoIgCILIYbZv345Zs2ZxsTNhsJo1QTDY1/SFQIQNjj4+Pujbty+GDh2a7SXO3oQb2V5FihTBzz//jHLlyllcJE0QeZH3nYSzN+HGzAbT6NO+fXs0aNAAHTt2BEBBc4LQx5wiIVsm9O1BuFGYXBNStGhRhIeHo0CBAihQoADKli2LoKAg1KhRA97e3gDIlhCEKbx+/RobN27ElStXcPnyZdHntlDkQ9h8xb5Xrlw5BAUFoXPnzvDx8YGjo2O2+31o4Ub9gZxSqRReXl6QSqVwdHTkopR169ZF7dq14ezsbNVzEEReJyUlBTNmzMDOnTtFyfc6depg/vz5OHr0KNauXYunT58C+DiFGwmCeD+8fPkSmzdvxu7du/H27VsA6Q1QTCDIknilPQg3Mt/EWDwWyIgZMYKCgtCoUSMSqScIO8QehRvZHkKYT9a9e3fUrVsXbdq0AUD2hCCEmJvXsUawkWFPwo3CfwcgPbekUCigUqkgl8tRoEABeHt7o1OnTqhZsybKli0rWpcgiMx59uwZrl27hkWLFiEmJobncIGMmhT9eGn+/PnRsmVLfP3113BzczNpoIw9CDfqD5Bg/xfGZoS1N6VLl+bvCdDAK4IwhTdv3uDOnTtYtGgRoqOjERkZyb+nX8MGpA9b8Pb2xvfff4/KlSsjX758ADK/l2Qm3Mj8ofch3ChsFjO2ptC+SCQS/myFChVCmzZt8N133wEgm0IQxjhx4gR27NiBM2fOICkpSRTHMCY+JhRErVWrFmrUqIH+/fvDy8vL5D3tRbhRKCjn5+cHtVqN/Pnzw83NDYGBgahSpQpq1KjB63HprkMQmbNv3z7873//w+vXr/nwXuHgFgCZfpYL7z5jxoxBt27d4Obmlu2eH1q4Uf/9HBwc4OXlhRIlSkCn08HNzQ1169ZFiRIlULt2bf5zVHdPEPaDPQk3CuM1EokElSpVQvny5eHt7Q1HR0c0aNAA7u7uouFaZE8IIntu3bqFM2fOYPXq1TzXws6ZsO5Dp9OJPtu9vb3Rv39/BAUFoUyZMgDsW7hReE9jCJ9Vf0AOkD4kJygoCH379gVA9x2C0GfNmjV8EJwwRys808KYqxDhuRTGOtq1a4dRo0bB398/27uJPQg3AhkDAevUqYMhQ4bwu5VKpYJSqTR7L4Ig0mu9zp8/j99++w1RUVEAMu4EbNgcAC4Mq9Fo4OrqCm9vb4wZM4YLI2WHvQg3AmK/hPkbGo0GSqUSKpWKf69GjRr45JNPMGTIEP4zlNMhCDHmCDay2votW7Zg6tSpoqG4rq6u2L17NwICAqx6npwWbjT283FxcUhNTcW7d+8gl8shk8lQqFAhipEQhIkIP+//+usvbN68GVevXkVSUpKBvyBEf9C2VCqFt7c3+vTpg88//xyAZcKNLEbzvoQb2ZrC9xL+3dvbGx4eHujevTtq1aqFChUqZPluBEG8P+xNuBEQ57+FtlN/Jkq1atXwySef8L5HuusQhHFOnDiBvXv34uTJk0hISOC+iX4uVV80VafToUWLFhg0aBAqVaoEhUJh8rm3F+FG4fyWQoUK4c2bNyhYsCC8vLxQuXJl1K1bFzVq1ICHhwcA8k0IwhjZ9f9JJBKbzmIzRbiR9cjktHAje39T6NSpExo0aIB27dqJ1iYIQkx28x11Ol2OCTYae4acFG7U95v+/vtvPHz4EH/++Seio6MRHx+P1NRUKBQKpKWloWjRovD09ES7du14fRuDatkIwnRCQ0OxatUqUQ1pbhFupH5igvgwJCYmomPHjnj27JlBfOO3335DUFCQVb2+xoQbAYhm2ttSuNEcwcbg4GDMmzcPAPkjBEEQeRkSbSQIgiCIHEQ4AEo/EQakB8+dnZ0REBCAlJQUaDQahIeHi4a5sMujsMCmVKlS+OKLL3jiKivsVbixaNGiWLJkCcqVK2f2PgSRF3nfiX1GdsKNwkKh9yncCADlypXDu3fvULBgQbi7u6Nu3booX748qlevzgPlFPQiCDEfSrBRf397EW5kSbglS5agfv36SEpK4iKN+k0UJLxEEJkTHh6Oc+fO4ZdffuHCR4B4kK+wOZM1EAjvImygS9GiRTF79mzUqFHDpL3tQbiR7ePj44P27dtj+PDhcHR05M8jhOwJQVgGOzsvX75Et27dEBUVJRIU+uabbzBs2DCsW7cOmzZtQnh4OAASbiQIInNevXqFDRs24Pfff8fw4cPx1VdfAbAujmBPwo0MmUwGJycnyGQyKJVK+Pj4oEKFCmjSpAnq1KnDm72oMYIg7A97EG5kawLpA8MLFCiAcuXKQSKRwNXVFQ0aNEChQoVQrVo1vhbFYwkiA3PyOl5eXti0aZPNYrH2KtxYqFAhTJo0CRqNBi4uLihbtiyUSiVcXV35z5EdIYjs+fvvv7Fr1y5cuHCBD5VgMVZ98WXhMG0Wk61Tpw769u2LBg0awMnJye6FG1l8WThUAoBoSLiHhwccHR3Rq1cv1KhRA4GBgXxNuusQRNacOnUKf/zxB44dO8YHU7KmJGGNm3A4FLuXODo6omfPnmjTpk22A++yEm4UNp0DOSfcyPLE2QnUOzk5QavVonfv3qhduzaaNm0KgGwKQRhj+/btWLBgARISEvgQcOEwXX3Y+RM2VQKAv78/Ro4cierVq/NhD9mdf3sRbgTSbcz48ePRuHFjFCpUiNvMzNYjCELMxo0bMWvWLG4X9MVfhXcC4feEtSHCsz9ixAgMHDgQDg4O2e5tT8KNTk5O6NKlC7p27Ypy5cqR3SCIj4SshBuZzWI2KqeFG4V1bGXKlMGMGTNQtWpVG70pQeQ9Dhw4gN9//x1hYWFITk42KjwgjFfqD6pxdnZGrVq1MGDAgCz9COHXzp49i7Fjx2Yq3CiRSDB37lwEBwdb9E7mCjcCQOHChfH8+XN4e3ujQIECKFmyJJo1a4YaNWrA19cXAMVMCEIf/bgku9cwgSM3Nze0aNECfn5+8PLyQlRUFF69eoUzZ87g5cuXIpsDiOMoQ4YMwXfffQcg+7uJPQg3CsUqa9asiSFDhqBx48YmPT9BEIYcPnwY69evx+3bt032T9jf2deGDx+ODh06mCS09qGFG4X+ifC9WE5JJpPB19cX/v7+6NChA2rVqoVixYoBIP+EIIxhiWAjAOzatQsTJkwQ5WEUCgXWr19v9qBfY5gi3NigQQNMmjQJ/v7+FvkrQjuSlY2iujWCyBrhGdqxYwfmzZuH+Ph4Uf4GMBQy1P99/f7fgQMH8hkAmZ3DrIQbAXGe6H0IN7J1S5cujR49esDNzQ0uLi6oWLEinJyc4Obmxn+ObAtB2A/2JNyobyeF+8vlcnh7e8PHxwddunRBYGAgypQpA4DuOgSRGXv27MGSJUvw5s2bTGvYjOV0hLHXmjVromfPnmjRooVJ9SYMexBuZO8pl8sxb9481KxZE87OznB1daUaNoIwgez6/wDkiLiaKcKNzEa9L+FGtnbFihWhUqmQP39+uLm5oX79+ihdujT1EROECXwom5Lds+SkcCNgeFdJSEiASqXC69evkZSUBFdXV+h0OgQEBMDFxYX8EYKwEHNqSD8W4UZ2pxIKNwrjx5n1E3t6esLJyQk9evRAzZo1+bw3ip0QhPmw+YkjR47E4cOHDeo1vvjiC4wYMcLqfd6XcGNWgo06nU7Up0SCjQRBEASDRBsJgiAIIocIDQ3FrFmzABg2WPn4+KB48eIYOnQo/Pz8UKxYMWg0GiQnJ+PcuXM4f/48Dhw4gMTERH6RZBc7FkBq2bIlZs+eDRcXl2yT4eYKN06YMAGtW7cm4UaCsBM+tMhadsKNwiDX+xJuBNKbxAYPHpypraJCIYIQ86HEXzN7DnsQbmS+laOjI9asWYPq1atDp9PxQkyCILLn2LFj2L59O86fP4+kpCRRI7bw81vY7G3se8Lh3lOnToWXl5fJz2APwo3sffLnz49BgwZh4MCBAACVSgWlUmn2XgRBGMKS+z/99BNWr17Nh3OmpaWhXLly+N///ocCBQpg/fr12L59O548eQLAtsKNmzZtws6dOxEXF0fCjQSRC3j27BlevXqF2rVrAzAsnjHmM5gSh/3Qwo3C4cVsGE2PHj3g5OQEZ2dng7sO2SqCsF8yE25kPtD7FG6Uy+UIDg5Gjx49+BALgiAyxx6aq+xNuJH9eeDAgRg1ahQUCgUAKmAmCHPZtWsX5s+fj7i4OFGTJCCOwRoTT2U5ETa4v0ePHujQoQNcXFyy3fdDCTcyO8Z8HwBQKpUoWLAghg4dypsnateuDZlMBn9/f74W2ReCyJ49e/ZgwYIFiImJEQ2q0Rd/BTJsjP5AGblcjoYNG6JPnz5o2LAh/x1zhBvVarUoVw3knHCj/iAeuVyOgIAAtG7dGpGRkXBzc0PDhg3h4+PDh10Jn50giAzWr1+PmTNnAoDIP2D+CRM7E9ZgCOOkQgE2VrfaoEEDdO3aNVt7wrAH4UbmC7m6umL06NEIDg42qaaXIIh01qxZg7lz5wIAv0MIhaNlMhmkUik8PT2RmpoKrVaLhIQE/vvCWIvwz9OnT0f37t1NOouZCTeyHE5OCzcK47Du7u4IDg5G3759UaRIEbIlBPGRYIpwI7Mp70O4ke1VvHhxTJ48GTVr1qT6NYIwk23btmH27Nm8Z0aYp2VnTHgPEt4NhD8jl8tRunRpjB49mt9zjGFPwo0MFqtZtmwZKlSogJSUFPj6+vLcsbFnJwgivW9lwoQJBrEQnU6H2rVro3379vjkk0/g7e1t8LvPnz/HgwcPMGnSJLx9+9ZoLy4ALFy4EG3btjXpeUwVbhwyZAj69evHv24L4UZ9P4gJN4aEhKBRo0YAyIYQhDls374dc+fO5XERYUyB+STGakgZQjvSu3dv9OnTB8WLF892X3sQbgQyYtDFihVDt27dUKtWLQBA8eLFIZVK4ejoyNch20IQhlgq2AgAd+/eRd++fZGYmMjXSUtLw4gRI/DFF1/Y5My9D+FGgiCsQ3jW165dizlz5gAwzBMLYwsMYV5Y2PMrnE8iHPibmV2xN+FG5mtNmDAB3bt35/6IsHaXfBKCsD/sTbiR2cjixYtj8ODB8PDwgKurK8qUKQNHR0c4OzsbrEcQhBhhjSiQETNhYh7MDwHA47YsZsu+x859+fLlMXjwYLRq1Yr3u5iCvnCjsRq2nBZuZLEad3d3zJs3D02aNDH4XYIgDPnQcx3tTbgRSP836dOnD7777jtR3JUgiOyxl/mOmT1TdsKNHh4e6NKlC3r27GmRcKNwv+zuT+SjEITl5EbhxuvXr2PWrFki4UbhrEqFQgE/Pz98/vnn0Gq1UCgUCAwMhEwmg5+fn9F/G4IgzGfFihVYtGiRKK+j1WrRsWNHzJkzxyZ5j5wWbsxKsJH5PyTYSBAEQRiDRBsJgiAIIgfQD5QLG6xq1qyJTp06oXnz5vDw8DD6+wkJCfjvv/8wZswYxMXFiQqfhYn+H374AX379jXpmUi4kSA+TuwlCZedcKOwUCinhRuFQkzDhw/H8OHDAVguwEQQeQF7GBJu7Hk+lHAj862AjOIoBwcHrF//f+ydd3RUVdeHf1MySUhCCqGHDoqigNIEpIMIKMJLkRZK6FU60kSkKEiRokgNhCT0LqCggCAdCyKIIr2EQBIS0pPJzPdHvn1y72QyPcmQ7Gct1xuSzL13st5z5px99t7PZtSsWZMD5wxjIbt378aiRYsQGxsrS8YhCSM1sTMspgIgk9LTOPXz88OkSZPwwQcfWP0s+S1uBLKaV/j7+yMoKAhBQUHi+zynMIzjOHfuHAYPHoz09HTZWobWDCkpKQgPD8f27dtZ3MgwjMWYEjZu2bIF5cuXR+PGjQG8GOJGqVS6Ro0aCAwMRKdOnQCwVJphXjRyEjdKm4HmlbjRzc0Nbdu2Rf/+/fHKK6849H0yTEHC2oLN8PBwVKpUKVdisc4kbpQmS3fv3h3Tpk3j4k2GsRJrG14BkO1zpIWPer0eVatWxaBBg9C+fXuL9gj5JW40ts8pXrw4+vXrh0GDBll9fYZhMpHK1gB5oxqaU6TjnPLVDJsA0/caNGiAYcOGoX79+ibva0rcCMjPr3NT3Cg9ly5ZsiS+/fZbmaSRYRjT7Ny5EzNmzACQPT8WyMzJ0Ov1KFWqFFJTUxEVFQU3NzeRa0avMyyuVKlU8PLywoQJE9CtWzeLnsVScWPPnj1RpUoVq9+rJeJGuleRIkUwdepUdOjQQdY4j2EY42zfvh2ffPIJgOxzSbly5VCxYkX06tULfn5+KFmyJHQ6HWJiYvDzzz/jypUrOHHihHgt5dJKx35ISIjZtQmRk7iR9jp5IW6kuZDOkHr16oXy5ctb8ydlGCYfsUTcSHNUbosbAYjcvSpVqmDGjBmoV6+eTLLGMEzObNiwQTRikZ6lSM85ckLa6Jdep1KpUKtWLUyaNAlvvPFGjq91JnEj5QDrdDr4+fkhJCQEVatWBcA1OwxjigsXLmDq1Kl4+PBhNil9hw4dMH36dHh7e2eLtUqbhgPA/fv3MWnSJPzxxx+yeCaN0aZNm2L+/PkWryMsETeWLFkSAwcOzHVxo1qtxptvvsniRoaxkuDgYCxYsACA8XNiQ0Ej/R7NHbSGkcZNgoKCMHjwYPj6+pq9vzOIG+n9FClSBM2bN8fw4cNRrVo1AEB6erpVIgWGKWyYEjYC8rlBKmyk1925cwddunRBYmIigKwz5J49e2LWrFkOe04WNzLMi4FhHEF6tqNSqeDt7Y0aNWqgXLly0Ol0SEhIQHR0NM6fPw8AshpkIGsOUqlUmDFjBnr27Gny/s4kbpTea8yYMejRowf8/Pysvj7DMHmPM4kbgSwJ7MiRIxEYGCh60bEElmHMs2PHDsycORNA5mczjV8aV2q1Gu7u7vDz80NqaioeP34s8lWlew5pX5K6deti1qxZqFatmlX7DkNxo7E1Q26LG6W9I5cuXYq3337b6vswTGHCWfo6Opu4kb7u3bs3Pv74Y7tqgximMOEsc4q5Z8sLcSPDMLlPYRE3SvtH+vv7IzAwEEOHDrX6+gzDmIbWCt9//z3Gjh0r6yWr0+lQpkwZ7Nu3Dx4eHg45nzUmbjT0bdgibmRhI8MwDGMPLG1kGIZhGAdjStjYunVrTJw4EQEBAWLjZmpj9u+//6Jv376IjY01WhxRo0YNrF69GsWKFbPoAM2cuJEaS7C4kWGcA2eTrJkTN0oL0R0lbrx9+zY++ugj/PvvvzkK3caMGYMRI0Y44B0yTMHE2ibheXWgb424cdasWWaLLczdB8gubqTmn/Q1ixsZxnKkBVbGCr9pvVKhQgW4ublBoVAgLi4OWq0WT58+FddRKpVQKpXQarV47733sGjRIgC2FUFZIm6UHpTlprixePHiGDBgAIsbGSaXWLx4MdauXQsga3/k7++P4OBgVKtWDampqQgPD8e2bdtY3MgwjNVI1wjTpk3D7t270aZNG/Tr1w9169YF8GKIG4GsOa969ero27cv/ve//4nv89qEYV4cchI30p4nL8SNNE+5urqiQ4cOCAwMZHEjwxjBGYurnEncKI35fvjhh5g2bRpcXV0d92YZpgATEhKC+fPnAzAuRvL09ETVqlVRtmxZZGRkICMjA7/++itSU1ORmJiYrSCKBIivv/46Zs6ciZo1a1o0F8XHx+OTTz7B4cOH813c6Ovri8DAQHFOzPschrEcqQTWsHk4ALi7u8PT0xMBAQGIi4uDTqdDREQEUlNTAUA2JqXNttu3b48RI0agYsWKJu9vTtwo/To3xY2EXq9H2bJlsXTpUovnQ4YpzPz444+YPn26aM4tXZe88sorqF69Onr06AFfX1+UL18eCQkJiIiIQFxcHLZt24abN2/i2rVrACBEIIZyaSCzGV3fvn0talJlqbixV69eqFy5stXvmcWNDON4Dh06hOnTpyM5OTnbXNK8eXP07t0btWvXhpeXl9HXP3nyBCdPnpQJZA1z7N9++23MnTsXpUqVsuiZLBU3DhkyBG+99RYAFjcyDCPHlLiR1gw0zn19fTFkyBC8//77LG5kGCciPDwcn332GYDscVhPT08UL14cHTp0QMmSJeHr6wuFQoEzZ87gwYMH+Pnnn8V1DM9zNRoNOnbsiDFjxqBEiRI53t9ZxI3UBIdiND4+PggPD0flypU5bsIwORAbG4uVK1di27ZtSE9PlwkZO3XqJOKx5qAx9uDBA/Tv3x8PHjzIJixyd3fH+vXr8eabb1q8J8lPcaOxvRWLGxnGcgzPN6TrE1dXV3h5eaFx48YoU6YMvL29ERUVhbt37+LKlSt4/PixeJ0xceOnn36KHj16WDQG81vcKL2Xm5sbmjZtimHDhuHVV1+1+voMU5iwV9gIZK4j+vTpgytXrsjWDxUqVMDWrVtRtGhRh+0RWNzIMM7Nnj17MHXqVADZ1yW1a9dGkyZN0LlzZ5QuXTqbjOzChQs4ePAgjh07hqioqGx5GwBQq1YtzJo1y2x+urXixgEDBuD111+XvdZaLBU39uzZ0yIpNsMw+Y8ziRulc0m/fv0QFBSEkiVLOvgdM0zB4/Dhw5g1axaeP3+ebW3y6quvom7duujSpQt8fHxQsmRJJCUl4fr16/j7778RFhaGW7duiWsZ9h/o0qUL5s2bZ/UzWSJunDBhArp3787iRobJZ5yt/s+ZxI3SOatv376YNGkSXFxcHPROGaZg4mxzirlnZHEjwxQMCou4UVpj5OPjgz59+mDUqFHZ/gYMw9jPkydP0K1bNxEnBTLnEx8fHxw4cADFihVz2L0uX76MsWPHOkzcyMJGhmEYxl5Y2sgwDMMwDsSUsPG9997D7Nmz4eHhYdG1aON2+vRpjBkzJtsBuV6vh4eHB7Zu3Ypq1apZ/IwsbmSYFwNnlayxuJFhXiyc/UCfxY0M82ISHByMBQsWAMjezLdIkSIoVqwYBg8ejHLlyuGNN96Am5sbdDod0tLSoNVq8fPPP+P27dvYvXs3EhMTERcXh1dffRUbN25E0aJF7Rp7LG5kmIINfaZfunQJ06dPx/3798XPXF1dMWnSJPTq1QsAkJaWhrCwMBY3MgxjFdK1wSeffILt27cDyNxDtWjRAn379kW9evUAOE7c2KVLF0yaNCnXxY2vvPIK+vbti86dO4vv89qEYV4cWNzIMM6PuXMdaXPbvI7FSsWNX375pdjLACxuZJgXgd27d2PatGkAsuehvP7662jUqBG6du0Kf39/WV7HgwcPcOvWLaxatQq///67+L5hwdI777yD5cuXi++ZG/v5LW4EsvY5xYoVQ+/evVncyDBWsGPHDsycORNA9jnlpZdeQvXq1dGnTx/4+fkhICAAiYmJADILs69cuYJ169YhJSVFyEak0hGNRoOPP/4YvXr1MjseTYkbFQqFbM2Q2+JGmrsCAgKwZMkS1KxZk+O5DJMD9+7dw7x583Dq1Ckx/mkOadWqFUaPHo1KlSrB1dXV6Dyg0+nw6NEj7NixA6GhoUhOTpblqxqO/549e6Jv376oVKkSANNzgDlxo0KhQO/evVncyDBOwN9//41Zs2aJhgq0lqB8jjlz5ohYgeG4N/z3mTNnMHDgQNFQQtrA29/fH4sXL0aDBg0s3is4m7ixc+fO6N27N4sbGeYFgsWNDPPism/fPkyfPl3WvIX2Ow0bNkTHjh3RokUL+Pj4GH393r17sWvXLvzxxx8yYRutI7y9vbFgwQI0b97cZMzUWnHjwoULRdzEWkyJG2lfxuJGhjGNNKd15MiRsnxSvV6Pli1bYtmyZXBxcbF4X0Jj7OrVq+jXrx8SEhKyxR7at2+PL7/8Upz1WoIziRtVKhXq1KnD4kaGMcPevXsxdepUEfeQrk/q1KmDdu3aoW3btihevHi21/7zzz/49ddfMXfuXLEmIWgucXFxQUhICN544w2LnsdSceP48ePRpk0bALknbnR3d0eTJk0wfPhwzl9jmBwwJWykecWcsJEYM2YMjhw5AoVCIdYPRYoUwe7du1GxYkWHPndkZCTWrFmDsLAwACxuZBhn4dSpU5g6dSqioqKy1RO/++67mDRpEooXLw6NRiPGJX2GE9HR0Th37hyWLFmChw8fGt0nfPzxxwgMDLSoVofFjQzD2Ist4sZ69eqJNVFuihsHDhyIEiVKOPgdM0zB4fr165g1axYuX74sy2XX6/Vo27YtxowZg4CAAJkwRDpu4+Pj8emnn+Lnn39GQkICAHnPNKVSiVWrVqFZs2ZWP5s5caNCocD48eNZ3Mgw+Yi5XmwA8qX+zxpxY5MmTTBx4kQWNzKME2Btf8fw8HBUqlTJ7jnFltcbEzceOXJEnEOzuJFhXjycSdzYqlUrLF26FBqNxuHiRvoZAPj6+qJ3795C3Mh5bAzjGPR6PWJjY9GjRw/Rt0yaq7Zy5Uq0bt3aofldxsSNAGQ97S0RN7KwkWEYhnEE/InAMAzDMA7ClLCxY8eOWLRokcXCRiCrULpWrVpo3769ONgn1Go1EhMTcebMGQAQATFzSBOiW7VqhXHjxqFSpUoi+YA2p2q1GvHx8Zg/fz6+//57IWWzBmlzviFDhuCjjz6SFXQBEPe6e/cuPvroI1y/ft3q+zBMQcNZhY1A1rguWrQopk+fjnfeeUc0/6R5jxKoDx48iOXLl+Pu3bt23atSpUpYtmwZXnrpJVmRGM0fALB8+XJ88803DniHDFNwcHZhI5C1LqlVqxaWLFmCsmXL5jjOZ8+ejS1btth1HwD44IMPhGwuPT0dLi4uUCgUouA0NTUVgYGB4sBOKntjGAbYunWrGEM0PmnfU6tWLXz00UfYunUrunfvjoYNG8LNzQ0AhNjD09MTHTp0wKhRo7Bx40Z8+eWXaNKkCbp16wZPT0+7D7F8fX3x+eefo3nz5uK5pNdTKBTYv38/Jk+eDCAzAYDWV9agVqtRt25dTJ8+HdWqVZPJ6el+T58+RXBwMDZs2CC+z3MKw9gHjbM6deqgRo0asnVDcnIydu7cibS0NACARqNB79698eGHH4pCcBqDNE4jIiKwd+9erF27VjTwtWScBgQEoFevXujSpQu8vb1FEQYd0ut0Ohw9ehQhISH49ddfxbNbGrthGMZ6pMmChtC4tmQM0l5o6tSp2L59OxQKhWhQQeP64sWLAMyPa4VCgerVq2Py5Mlo2LChiJtI47zPnz/Hrl278OWXX4o5xJa1iaenJ1q3bo3hw4ejQoUKsrmM7vX3338jJCQEe/bsEd/ntQnDvDj4+Pigffv2GDp0KEqWLJmtua9er8fly5cRHByMH374AYDt649q1aqhT58+6NixI9zd3bOtdVJTU3Hw4EFs3rwZf//9t6PfKsO8kFhTsOnn55fnsVhaYygUCkyaNEnsZQDI4icKhQLnz5/HggUL8Pfff9s0h9C9vL298dVXX6Fhw4Y5xny3bduG+fPnIzU11XFvlmEKGCdOnMCiRYsAQFYYQE0lvvjiC4wYMQLlypWTFUGTfKxp06YIDQ1Fjx49RDMokjXSuD9y5AhCQkIAwKJiCS8vL3z22Wdo166deB6pCFKpVOLIkSOYMGGCaE5uyz5HpVKhdu3amDZtmogDEXS/6OhohIWFiXNi3ucwjGmOHj0qiooMc9tatWqFefPmYdasWahZs6YorC5SpAg8PDzQtGlTjBw5EitWrBDnP1LxgFqtRlpaGpYsWYKbN2+aPeuh8Vq7dm2EhIRAo9GIs1sAsuZ9kyZNEoWd9sRZe/fuLYSVWq1WrMNo7nrw4AHGjx+PP//8k+O5DGMAfb7+/vvvuHjxovj8l65LvvrqK1SvXh2urq7ZzmjpGkqlEgEBARg3bhwWLFiA1q1bw9XVVTbmpV9v2bIFK1euFAJqU2OzatWqGD58OFq0aIEiRYqIOYr2IHq9HmFhYQgPD8etW7es/htI7928eXNMmDABVapUEX8H6b2SkpLw+eef4+DBg0hKSrL6XgxTUKG55OTJk7hx4waALJmYXq/He++9h4ULF4p5hH4uxVDg2KhRIyxZsgRA5vxBc49SqURUVBTWrVtnVR5KyZIl0alTJwwaNAheXl5izUDzGklO1qxZg3PnzolnsiWHv3bt2ggMDMS7774r9k3SOOzz58+xZ88ehIWF4d69exZdn2GY/Ec6zps2bYrBgwfjzTfflDW2onH+7NkzrFmzBgcOHEBUVJTV95LGQfr374+goCDRwFd6Rq5SqXDz5k3MnTsXFy9eFDFrhmGyuHTpEr755hvZZz/tdzp06IDFixfjgw8+gI+PjyzWSbFWAOjUqRMmTJiADz74AC4uLuJchppexcXFYdGiRXj+/LnJsyHpPNKoUSMsXLgQ/v7+Rs9a9Ho9pkyZggMHDtj0vqXzSJ8+fTBjxgwAyLZHc3FxQWxsLHr16iVEb7bEfBmmIKJQKJCYmIhly5YJgRnNH9WqVcOwYcPg4uJiNFaSE7RuqFq1Kt5//31xnqPX68XYe/DgQTYJmzlIQj9jxgzRCJSuS88WGRmJ9evXi3MjW89dihcvjo4dO2LIkCHw9vbOtrfKyMjAr7/+irVr1+LUqVMAOMeWYQw5e/YsvvrqK7GmN1yfLFmyBD169EDx4sXFGl+n04mvX375ZfTq1QvBwcEICAgQ1wGyPuvT09OxZcsWIScwh5ubG9q2bYtp06YZHds6nQ53797F0qVLcfToUQC2j+0KFSqgR48eCAwMFLk30nslJyfj1KlTWLVqFeevMYwRHCVspLVHlSpVAGSuU6gmOSkpCSdPnhSvcxQlS5bEkCFD0Lt3bwDyc12FQoG0tDScPn0ac+bMwaNHjzhPhGHygMjISBw4cACxsbHie7Qu6dy5M7766iuULVsWGo0GQFZel1TYCADFihUTa4mSJUuKPgc0L2VkZGDVqlW4f/++2b0Ova5EiRIYNmwY2rVrB19fX7HukOapHjp0CMHBwbhy5YrstdZSo0YNTJ8+HTVr1hRxGcN7LV++HFu2bMGzZ8+svj7DMHkPrSM8PT0xePBgdOrUCSVLlgSQNc/ROuTUqVNYt24dLl68KOoGrJlL6F7lypXDzJkz8dZbb0Gj0RidSzZt2oT169cLyQLDMFnQ2v/MmTP4999/AUCWw9auXTssXboUVapUEbkn0v0EkDnevLy8MHfuXHzwwQdwd3cX6xdp3oYt+WVAZq/IqVOn4rXXXjO6ZtDr9ViyZAm2b9+OuLg4q68v3QN17NgRs2bNgoeHh9FzpPj4eIwbNw6//PKLTe+FYQoi5vo6Uk+B/OjFRmewLi4umDJlCj744AN4eXkBML42WbRoEf7991+7av/8/f2xbNky1KlTJ8fav5CQEHz55ZdIT0930DtlmIKDJTXFhv0dHSFslMZMrdk3SPcxderUQWBgIN555x2RxyvNa4uNjcWuXbuwZcsWPHjwwOZnZRgmdzGXQ0pzFPVYJSHiX3/9ZdV9PD098emnn+K9994DkLV3ArJq8n766SeMGzcOaWlpNueWKZVKIZasWbOm0XriZ8+eISwsDCtXrgQgF0gyDGM7CoUCvr6+aNy4sZg7DHPV6PccRa1atfDVV1+hdOnSsvWNdK10+vRprF27FhcuXDA61lnYyDAMwzgK/lRgGIZhGAdgTtgo3ZRZi6enp2jqTQF46cb10aNHAKzbuEqD5q1bt84mbpQ2kGFxI8PkLbYcwuW1ZM2cuFH6LCxuZJj8Ib/mElvWOs4gbqS1CYsbGcY0Bw8exNy5cwFk3/e88847WLBgAXr27IlixYplGzckSAWyhEnly5dH06ZNsWrVKtFUwhGHWCxuZJiCDa0Txo0bh4CAADF+VSoVrl27hjVr1oiGWCxuZJiCj2HTXoVCgbi4OMTGxiIhIQGpqalivNPvmBvjR48eFWJDabMX+hmLGxmGMRyjtjaktHZdwOJGhnFOLCnYlMZiw8PDHRKLlY5tS+XULG5kmBeLhw8fYvfu3YiNjZXtZ/R6PTp16oRly5aJphKAvNGVtHmESqXCzJkz0bFjRxGDpZwQhUIBhUKBCxcuICEhweIx72zixtDQUBY3MowZbt26ha1btyIhIUHsE6RN9FasWIHXX38dHh4estcZnu28/fbbGD9+PBo2bCgKmICsAqeEhASEhoYiLS3N7JySk7jRUAoAABMnTmRxI8PkI0qlEgkJCVi3bh2SkpJkAoJ69ephypQpQkAAGM9lpc9umjdat26N8ePHY8yYMfDw8MhWYElzwcGDB7FmzRqcPXtWXJvFjQzzYqJUKnH79m1s2LABycnJ4kxVr9fj7bffFpIgae6FKeh32rRpgz59+gCQnwGpVCrcu3cPERERVj0nixsZhrEXU+JGmuNY3MgwzsPz589x5MgRUZsHZMVhO3bsiMWLF8PPz0/saaRnOxRflX629+jRA02aNJHVzdE+4eHDhxZJTawRN+p0ulwVN+r1eqSnp7O4kWGMQOM0KioKkZGRYlzQPFG9enUhOLK2YZVSqYSrqysaNWoEnU4n2ycpFApcuXIFly5dsvqZ1Wo16tWrJxM30vyWn+JGahrOMVmGySQ6OhqHDx+W7RGk58SLFy9GyZIlRQyV/lepVMrOjPV6PRo0aIAvvvgC7u7uYhxSHBPIlFeTVMiS8WeJuPHOnTssbmSYfMSUsBGQ1xebEjYCWfsfas6ZkZEh63FC/UAc3dCSxY0M4xzQuLpy5QqOHTsmxqK0nnj+/Pmy3zWHWq1GgwYN0LNnT7i7u2eLnSQmJuKPP/6w6JosbmSYgoujYgOG1zEWz7RG3Hjy5EkWNzJMPqNUKnH//n2sWbMmW95JgwYNMHXqVFFfBxiPy9Jr3N3dMWnSJNStW1ec3dK5DwD88MMPSEpKsmlOMiZuNMxhY3Ejw+Q95nqxkVA+P/s6sriRYV4cLOnvmBsSWMrlAIB+/fqha9euuHPnjsWvl+5j6taty+JGhikAsLiR64kZxpGULFlS9G4EssbdjRs3ANjWa9oUxsSN0jx7IGdxIwsbGYZhGEfCnwwMwzAMYyfWCBtt3ZS1bNkSFStWlDUYp80jFV5Yu3E1FDeOHz/erLjx8OHDDhc3Gh7QsbiRKcyYO4QzbOzryEM4KZbMJ+bEjTqdTtY8i8WNDJN3WNIkPLcO9Gmtcv/+fateKxU3Ll68GGXKlMlTcaM0GYEaS7C4kWHkXL58GevXrxdjXbrv6dSpE5YsWYKKFStCo9EAMF1wKU1wpsRFT09Phz4vixsZpuBCY8vX1xcNGjQQ36NxdfnyZcTHx4tkobwQN3bt2hU+Pj5GxY1HjhxBSEiIaJDDTWUYxnHQ3ichIQHXr1/H0qVLMWLECHTo0AHvvfceOnbsiA4dOmDMmDEICQnBP//8A8B8Y4jq1atj8ODB8Pf3R3p6erZkHhY3MkzhRtr8ZfPmzYiOjhaf+9Ygjd/s378fX331lUWvI3HjsGHDUKpUKZm4kc5dWNzIMHlHfhVs0pkRIW2oZwpDceP//vc/FjcyjBNC64rffvsNZ86cEbkmNE7btm2LL774Qva7OUHrFJVKhY8//hhNmjSRyRqBzLnsp59+wvXr161qGuxM4saYmBgWNzJMDtBYOHfuHH777TdZ01y9Xo8OHTrg888/lzWqMYZ0X/Haa68hKCgIpUuXBoBsDX4vX74sm2dMkZO40cXFBQqFQnwNZIobSUCQ2+LGcePGsbiRYf4fGgNXrlxBZGSkyD1RqVRQKpVo1qyZKOq2dNzTNStWrIg+ffpgyZIlQoxG+wTpvun48ePYsGGDkJtYIm5s3rx5vokb6X2wuJFh5GRkZCAsLAxxcXEy+XOxYsXQrVs3+Pj4AIDVMRNq8Ovm5gYga5xmZGTg7t27NolMSNw4cOBAeHp6sriRYRirMRQ3Dho0SIgbpbEetVrN4kaGySdojP7777/Yu3eviGFSzKRly5aYO3cuAOPNvKVI90KvvfYaunbtKvYfFMPUarVITk7G6dOnAZjPXXEmcSN9zeJGhpFDY/H777/HvXv3xHjQarVwd3dHv3794OHhYVd8sU2bNqhbt67sTIewpZk3kNkctH79+jJxI805eSlupDnk119/xZo1a3Dq1CkAnGPLFG5onF2/fh3ff/99NjFS69atrRIj0XiqW7euOF+W5puoVCo8evQI4eHh4vctgcWNDOO8mBI20uevpcJGQq/Xw9/fH0WKFJHllgGZ58KRkZG58tnN4kaGyX+USiWeP3+O5cuXIyEhQcQg9Ho9Xn31VXz00UfZ9hKW4OnpiebNmwvBIr02IyMDqampYv1gyTVZ3MgwBQ/pniUmJsbm60hz/GmvkFM8k8WNDPNiQOPk4MGDiI2NFWsTlUoFV1dXvPfee/D39wdgPsahVCqRkZEBNzc3zJo1CyVLlhR7JZonUlNT4e7ublVuvRQSN9aoUUM8a16LG+mch8WNDJO/cjUp1tT+sbiRYZwXa+eU8PBwhwsbR48ejfPnz+PJkycYP348ixsZppDD4kauJ2YYe6G1QePGjeHu7i7WHDSu/vrrLyQnJ+eK7NCYuJHubUrcmJOwUdp7iYWNDMMwjKXwpwPDMAzD2EFeCBuBzCIGaiBj7Ge2Ig2at2rVyqy48fPPP3e4uFH6nljcyBRmLDmEy63GvhQQkxaAO0LcKD10Z3Ejw+QN+dkknMbgmDFjMHToUJHAbG0zqtq1a2PJkiX5Im6khqIsbmQYOXFxcTh48CD+++8/AFmfy3q9Hu+99x6++OILWYGRNdiaqGwJvr6+mD9/PosbGaaA4unpif/9738A5AXYp06dwqFDhwBAHKTntrixZ8+e6NKli1Fxo16vx5EjR7B582YWNzKMg0lNTcXff/+NkSNHYsSIEVi9ejVOnDiBqKgoxMTE4MmTJ3jw4AGOHDmC+fPni9/7999/kZCQkON1y5Urh549e6Jz587w9fUV+xJHiRvfeustFjcyzAuKNP4xduxYzJs3D59//jmePXtm1TiSxm8OHz6MyZMn49tvv8WqVasser2Pjw/atWuHIUOGoGTJkrL1B4kPWNzIMLmPqVgsxQbyorhq3rx5ACyPa0jFjZMnT2ZxI8M4IUqlEjExMVi2bBkSEhJkjThr166NCRMmALA8D4UaSygUCkybNg0BAQFiviA5gF6vF81wrdkbsLiRYZwfpVKJJ0+e4Ntvv0VycrJsTqlXrx6mTJkCQF6EmRPSn9erV0808ZQ2lFAqlbh27Rr2799v1TMaEzeq1eps4sZJkyblibjx4cOHLG5kmP+Hxv6lS5fw/PlzmYDA29sb77//vljXW3tNAHB1dUWzZs0QGhqKMmXKyBrwSWOyp06dQnBw8AshbqT1F4sbGUZORkYGrl27Jr6msRQQEIBGjRrZde02bdqgYcOG0Ov14j+am27fvg3Aur0OkNkUvHPnzhg0aBCLGxmGMYnh/EL/lo7zZs2aycSNNM4pXsziRobJexQKBZKTk/H111/j+fPnsoYtVapUQVBQkGiWbem5Do35li1bCrEI7aHoGufPn8eDBw8sWjM4k7hRr9eLGA2LGxkmExqfDx8+BABZfMTLywvFihUDYH+ufOnSpWVn05QX8s8//8iewxqMiRvpvCUvxI3S/Q6JG9euXcviRqbQo1QqER8fj6VLl2Zbn7zyyisYOXKkmAMs7VdAc0ejRo3Qtm1b8X2KnwCwqpEvkZO4USqpZ3Ejw+Qt9Hn+6NEj9OrVSyZsBOS9CiwVNgKZY7dixYqoX78+APn8cffuXTx69CjXagNZ3Mgw+QeNpT///BORkZEiL5bGYKNGjVC2bFkAtu15qlevjn79+gHIip0oFAqo1Wrcvn0biYmJFl+LxY0MU3CQ5shPnz4dX331lU1SEGkc5dChQ+jcuTNmz54NgMWNDPMiQ+P6119/BQBZDlvRokXRqlUrq/o7UmzB19cXr7zyirgHXSM2NhZxcXF27THyW9xo2DuSxY1MYcVc/R+Qe8JG+kynGl/Dnqs5weJGhnFebJlT6DzWkTXFR48ehVqthouLC65du2a3uLFv37545513RD6bobhx586dCA8PZ3EjwzgxeS1u7NChAwAWNzJMQYHmiNKlS4vaXmmuWkpKClJSUnLt/rVq1cKyZcuyiRula6jTp09jzZo1OHPmjHidobBR2nOJhY0MwzCMNfAnBMMwDMPYSF4JG+lwiuSMFOSmwFPRokUBwOZ7OIO4UXoAIRU39uvXD//++69N74thXiQsETbm9sH+yJEjMXDgQGzbtg2AY8WN9IwsbmSY3MUZ5pLRo0fjyJEjePDgAebPn49r165ZVXDhLOJGACxuZBhkFVf9+++/2LNnD9LS0kSSkF6vR6tWrUShglRU6Ez4+fmxuJFhCih6vR516tTBgAEDAMjXJNu3bxcJhTTWWNzIMAWLq1evYvXq1RgwYADOnz+Px48fA4AoJqKYBBVuA5lj/NixYxg5ciRWrVqFmzdvAjDeuKpMmTLo2bMnunbt6nBx45QpU0Tj4JzEjQsXLnSYuLFixYo5ihs3bdqE3bt3i+/z2oRhcka61hg/fjy+//57AMCxY8cwd+5cxMTEWDSODAvAx40bJ362bNkykRRsDh8fH7Rv3x5Dhw6ViRup4IrFjQyTu5grriIxQF4UV4WHh2P58uUAWNzIMAUBGmcXLlxAdHS0KBSguaNly5YoVaoUAOtyROj1/v7+qFevnvge5YMAWU0srM09IXHju+++y+JGhnEy6P//Bw4cwJMnT2RzioeHBzp27Cgah1sz9mmuateuHRo2bCiLxxDWFmObEjcCYHEjwzgB1OyW9gpAZhy1ePHidjdg0el0ePnllxEcHIxXX31V7EvoZzQ+z549i9DQUFy4cAGA6Qag1apVy1dxo/ReLG5kmEzOnj2L3377TawdaD758MMP4eXlZfPanV732muvAcha19D36RzHFljcyDCMOaRxkD/++AMJCQmyeIQl4kYa5yxuZJi8Jzo6GhEREWL9TnuPGjVqyBr0WgrllQCZsVxfX19xTfp+REQEoqOjLb6uobhxwYIF+SZupK9Z3Mgwmeh0OqSlpYnzFRo/KpUK5cqVQ+nSpe2+PpC5hgCy73UePXoEwHYppIuLCxo0aICZM2eicuXKRnPfIyMjsW7dOmzatEl831Zx4wcffIAhQ4aIHFtqTCwVNwYHB+PYsWN2vS+GeVGhz/v79+8jOjpajA1aS9SsWRMVKlQAYNv48PLyEufE0pwXADh37hyuX79u9TXd3NzwzjvvYOrUqULcSLFXFjcyTN6jUqnw8OFD9O7dG48fPxbCRooF2CJsBLIkjWXKlAGQtU6gsfjDDz9Ap9Pl2p6AxY0Mkz/QWD927Bji4uLEHKLVauHh4YHu3buL/kfWQmuBGjVqwMPDQ5ZnptVqcePGDVHrYyksbmSYFx9pDHLChAnYtWsXjh49iq1bt1qVh2ZYrzN+/HgAmfXGlO9vqbjxgw8+YHEjwzgZd+/exV9//SXLOwGAN998E35+flbnsCkUCnh4eKBRo0YA5HNIiRIlUKRIEbvjlLVr184mbgQgy2HLTXGj9F4sbmQKI+Z6sen1+lzvxTZq1Ch89NFHWL16NQDLz1pY3Mgwzocz9HccNWoUjh49Ks5IaJ64du0a+vbti8jISIuvK93H1KlTB3379kWbNm2Mihvj4uKwa9cuFjcyjJOTl+LG2bNn55m4cerUqSxuZJg8ICMjAz4+Pnj11VcByHPV7t69i6tXr+bq/WvWrJlN3GiY23vmzBmEhITgzJkzCAwMlAkbpb2WWNjIMAxPhvARAAEAAElEQVTDWAt/SjAMwzCMDeSVsBHIDL4/f/5cFFJRwJ42jFTAZU9jKGcQN0oDWxTMi4uLg6urq83vi2FeBJzhEG706NH46aefAABffPGFw8WN0uZZLG5kmNzBXJNwIG/mEjrQT0tLw++//47PP//c6mJHZxA3GjaWMBQ3cmMJprCgVCrx/PlzfPnll4iPj5eJB1599VWMGDECHh4eAGDXXJLbsLiRYQomNL7q1KkDLy8v2Wf7nTt38N9//wHIis28aOJGw3vyXMEwWRw/fhwLFy5EcHAwYmNjRXyWmt/RuJIWKtJ4U6lUuH//PrZs2YJZs2aZbLqfm+LGyZMnmxQ37t6922HixmHDhuUobrx+/TpCQkJY3MgwFkCxgjFjxuDQoUNQqVRQqVRISkrCsWPHMG/ePLPixpwKwF1cXMT1V65ciSVLllj0TDmJG2n94wziRpaaMAURZzjXkRZXAcCqVatk4kZrijdZ3MgwzgWNi59++gnJycmyhld+fn744IMPoNFobL6+h4cH2rVrJ65J91SpVHj06BFiY2Ntuq6XlxfmzJnD4kaGcTJoXFDcgsadVquFt7c3WrVqZdP6hOYqT09PVKlSRawPqBEOkBm/SUtLs2qs5yRudHFxEQWhtGZgcSPD5B302X7z5k3odDpZDLZYsWJQKpVCqmorlIdRoUIFLF++HA0bNpQ1tpTGZE+ePImQkBBcvnzZ7HVZ3MgwzkV8fLxYL+h0OtH4yhaJtBR6XdOmTUXsEsj6PKcxZ+v1nVXceP/+fZveD8MwjkMa/wgJCUFQUBBWrVpltbhRegadX+JGbqbHFFa+//573LlzR4xRyhvv3bs3PDw8bIoD0LxQq1YtBAQEyGIjLi4u0Ov1Qjxgy3qhcePG+S5upHgNixuZwo5KpRLjgsYpNcZMTExEamqqXecTNJ+UKlUKQFZ8l8a9Iz6/1Wo16tevjxkzZuQobnzy5AnWr19vt7jR398fH3zwAQYPHgwfHx+xt6J1kE6nw5kzZ7B9+3aOnTCFEhp733//PSIiImRnOl5eXggMDESRIkVsujatI/73v/+hSpUq4nvSHDNbegUAgLu7O9q2bSsTN0rjJixuZJi8Q6/XY9GiRYiIiIBGoxE5IdKcNmuFjUDWGXDnzp3h6ekpW/MAwJUrV6BUKnO1rpDEjX369AGQs7jxs88+w8OHDzlPhGEcAH1WX79+XYxxWq9UrVoVpUqVsjkOQNepW7cuqlatKotbqtVq0V/Jlus6s7jR1rw8hikM0PgHMoWNBw8ehFqtxrNnz7Bz505s2bLFIimIqXodnU6HTZs2iX4iOa1dpOLGIUOGsLiRYZyMxMREJCYmirgGrSOoDsbaHDZ6vVRGTd8rWbKkRTn7luw9DMWNhuOcxY0MkzuYq/9TKBR50ovtxx9/hFKpxIoVK/Dtt98CyMqZNQeLGxnGebCkv6Narc6TOYWuR2OUxnzZsmXF/sVSWNzIMAWPgihurFWrFqZNm8biRobJZaiH0muvvQYg+57DlrMba7FE3Hjy5EmMGzdOJmyU5r+wsJFhGIaxBf6kYBiGYRgryUthIwWVHj58iOTkZFnQXavVwtfXFy1atACQlZxoK84gbtTr9eIQ09vbG9999x0qVKhg1/tiGGfG2sa+4eHhudrYV61WIzk5GV988QW2b98OwPJGNSxuZJj8w9xcIv18zasm4XQYd/nyZUyYMMHqJlHOIG6kxhjUWCI1NRUDBgzAb7/95tRyOoZxFLReP3HiBO7evStLpnF1dUWbNm1EwfaLgLOJGzdv3ixrGs4wLzrGEnfzqglT69at0bx5c7HvoMa3y5cvR1xcnBhjL5K4kWJK9+/fx6FDh2TPzzCFnX379mH27Nm4ePEiUlJSxGe2sXmIkmkIaZOZpKQkXLp0CRMnTsTvv/+eY2yVxY0Mw0j58ccfceTIEQByKVpycrJZcaOpAvD09HRkZGSIeOqaNWsQERFh0TPlJG6kPU9+iRuvX78u7sUwBQlLznXyo7hKqVRi9erVmDdvHgDLYw3OLG5csGABixuZQoler0dcXBz+/fdfAJljh8b0W2+9hZIlS4r5xtbrv/TSSyhfvrxorEfN9B49eoR79+7ZfG1z4kaFQpGv4kZuGM4UVm7fvo2LFy+Kz3T63/bt28PPz8/msSFt8Ovt7S2bTwAgNjZW1izTUnISN9I6QbpmYHEjw+QNNHcY22fQmHdEPJFiLQEBAZg3bx4aNmwo8jboHjQ+f/zxR2zatAm3b982e91q1aphxIgRaNGiRY7ixtDQUIeJGydOnGhS3Lho0SLs3r2b5QNMoYQaQklzKDQaDQICAhxyfS8vL9EwT9pQ4vHjx3j27Jld13Y2ceOBAwewdu1aFjcyTD4ijXuEhYVh/vz5SEpKwuHDh7F27VqrxI10rfwSN06aNAm///673X8ThnkRiYmJAQARawAyz1+LFSsmW7dYCzXObNSoEQCIdQPFdkkiZM31nUXcSPsyFjcyTCY5CYoSEhKQlpZmd464TqeDn58fNBqNONch4uPjc8ybs4acxI3SXPvcFDdS3Emv16NIkSKYOHGizWI6hnmRobFM9bbS9UnJkiXF+sQWaEy7uLigePHislwQhUKBlJQUXL161eZnZ3EjwzgHCoUCn3zyCRo3boy0tDQoFAqoVCq7hI1SvLy84OrqKl5L179y5QrOnj0LwHIxvS2ULFkSgwcPNiluPHPmDObMmcPiRoZxAAqFAk+fPsWNGzeg0+lke49y5cpBo9HYnRMLZMoEAIh5hWr66XPc2nHszOLGbdu2iVgUwzByKN4xfvx4HDx4UEjXVCoVYmNjsWvXLrPiRlP1OtLeTcHBwaKfSE4Yihs7depkUty4du1aXLx4MZswxRKsFTeuW7eOxY1MoSYuLk62n6FxT+PE2rUDXUf6OsqVa9CgAQAgJSUF9+/fx5kzZ7Bjxw4cPHgQhw4dwrVr12Q9DADTeyLKfX/ttddyFDcuXrwY27Zts1ncSNfs2LEjPv30U5PixkmTJuHYsWNW34dhXhQsETbmdv2ftBcb5ZetXLkSq1evBpCzRNoQFjcyTP7jDP0dR48eLevvKJWjabVaNG/eXPRgtDZvg8WNDFPwMMwh7d+/f7bYBvBiiRtr1qxptbiR89gYxjpobqhatSoACGEirYOoX2Jujy1LxI3x8fGi/xvtiVjYyDAMw9gDf1owDMMwjBXkpbARyDpUCw0NFUkD0u+XLFkSbm5uDktizm9xo5ubG9LS0uDt7Y2wsDCxUWeYgogtwsZKlSo5/GBf2tiXxndKSgo++eQT/Pzzz1Zd2xJxI907r8WNS5Yssek+DOPsWJIklBfCRmNNwtVqNdLS0lChQgWUK1fO6nvkt7iRmn8qFAqkp6fD3d0diYmJGDNmDFJTU7kZJ1Pgof3M8ePHZQnMGRkZKFOmDD788EO4ubnl81Nah7OIG9VqNSIiInDgwAG7GwMyjDMgXY/8/PPPQgYkbWydW1BcITAwEOXKlRNNwVUqFe7fv4/Dhw/LnsFQ3NijRw+nEzfSfHvnzh3069cPEyZMYJEaw/w/27Ztw/Tp0/H48WNZ40pq+qDX68VYojgEAFlDBvoZJQXdu3cPn332mcnmLIVF3BgeHi72VZxwxDDGad26NcaNGwcAIjGY5hZT4kZLCsDVajWSk5Ph5uaG0NBQlC5d2uLnMiVupPkxL8WNP/zwA1atWoV//vnH6uszjDPjLLFYY8VVdIZri2zNGcWNKpUK4eHhfLbDFEoUCgViY2OFeCMjI0OsKWh9IG3Qacv1S5UqhYoVK4o9lF6vF9e0Vx5kStwIZO418lLcGBYWZnVRO8MUNKKjo5GUlASdTif+0+v1KFWqFADbxwZ9flNzO1pP0JooKSkJjx8/tuna5sSN0vURixsZJu/w8fERewPiwYMHSEhIcNiYoPFfpkwZfPbZZ2jSpImsGZ00Jnvo0CGEhYWJ3FVTz1C1alUMHz48R3EjAIeJG5s1a2ZU3KjVauHu7o64uDisXbvWLhE3w7yoJCQkAJCfy0pF9fZSsWJFVKlSRfY5npGRgefPnyMxMdHu65O4cfDgwfDy8jIpbqQm5faIG/v27WtU3Ojq6oqYmBj88ssvIj+XYZi8xVDYOGfOHACZMZtHjx5h37592LBhgxA3EqbEjdJxrlar80TcSPNlVFSU2CMyTGFBr9cjOTlZCEul8cXSpUujdOnSNgsbgazxVb16dQBZTWpoToiPj7fpus4ibqR9lFTc2LdvX9y4cYPjsEyhIiMjA2lpadnOVKnu9saNGwCsbxQuRalUomTJkvD29hZnOnQ9ionYM18RxsSNNGfltrgxIyMD6enp8Pb2xvbt27memCm06PV6JCQk4PLlywDkc0e5cuXg6+tr13inhsHNmzcHkNXIn+7z9OlT2x8eOYsbpbm+eS1uXLNmjZAwMUxhICMjA76+vli8eDHeeust6HQ6hwkbgcyx984774h/k8QtLS0N169fB+CYdYkpWNzIMHlLSkqK7HxWWh8LwK7zToot1KtXT3xPujahHDZb5itnFTcuXboUe/bs4XmJYXIgOTkZlSpVEvIkICtHxJy40VS9Dl2Lvlar1WjdurXZ55GKGwcPHmxS3Hjq1CmsXbsWly5dynVxY0hICIKDgxEZGWnx9RmmIJGWliZqd6T7j9u3b8ty7i2Fxhmd21DNsFqtRunSpREWFoZhw4ahY8eOGDp0KGbOnImJEydi/Pjx6N+/P/73v/9h6dKlOHnypHi99LqG1KpVC1OnTs1R3AgAS5YssVncKJ1/3n//faPiRsphe/bsGebOnWt37QDDOCPOImw07OtIMcylS5fi0KFDVl3bmcWNs2fPZnEjU6CRzikhISFme8XmVU2x9OtmzZrh22+/Fa+z5b4sbmSYgof0jCQoKAiDBw+Gm5tbtrMcR4kb33vvPQA5ixvHjh2L1NRUh4gba9WqZVLc+PXXXwPgemKm4GEY95BKWB0BzQ/169eHv7+/kFPTmL1z5w6AvBlbpsSNQNZ7p7NvFjYyDMMw9sKfGAzDMAxjIYaHb0DWJi03N2UnTpzAmTNnRLIABbUAoGfPnihevLhDk5hzU9xouJk3FDcOHDgQPj4+CA0N5QIrpkBjS2NfRwsbR48ebVSyRs/XpEkTNGvWzOp7mBM3Sg/d80LcSPfesGEDYmJibLoPwzgrzpokJC24aNasGVatWiV+Zi35LW6kIL2LiwuSk5Ph5+eHdevWwdXVNdeLyBjGGfjtt99w6tQpAFmfu2q1GgMHDoSfn59TFgiZO0DMb3EjzdFeXl5YsWIFfH19rb42wzgT0vVIcHAwhg4digkTJmDKlCm4fPkyEhIScrWBNY3fSpUqiTgCjdvk5GScOHECgPyzXipu7NWrFz788EOnETdqtVohbAwKCsKjR4+gUqmwePFimbiRYQojYWFhmDVrlhgnUmmiNImoTp06eOutt9CuXTvUq1dPSBapaZWxMXTjxg0sW7ZMJAcZo6CLG1UqFf766y989913NjcHZJiCDo29oUOHCnGjNLkPMC5uTE9PN1kATg2xqAB8/fr1qFu3rtX7rZzEjdL1R16IG11dXZGYmIhff/0VPj4+Vl+bYZwVU7FY6Z6fYrHh4eEOj8UaO9ehrykWS2Iya8e2M4kb6Sza09MTnTt3tvr6DFMQSE5OlhVNExqNBoD1Y1yKoQBSmocCQBRL2hP7NSVupPkkr8SNcXFxWL58OdavX2/z+2GYF50HDx7I5Kw0t0ibSNmKTqdD6dKl8dprr4m1gl6vh1arxfPnz/HkyRObr21K3Eix1PwQNwYFBeGvv/7is2KmUEINnCjWCmQ2rEpISBCxB0dA47906dKiGZ20SRWdWQOZosUNGzYAMD/+81vcqNFokJycDF9fX6xZswZFixa1+h4M86Lj7+8PALI8s+TkZHFeas88Qq+VFmIDmbEbR+Z5lSxZEp06dcKgQYNMihvXrl1rt7ixVq1a2cSNGo0Gqamp8Pb2xrfffiv+pgzD5B2mhI20v3r8+DE2bNiA0NDQbOPfEnEjxZVzU9yoVCqRlpYGb29vfPfddyhfvrxtfxCGeUFRKBRwd3eX7TPo66SkJIdJ1kuUKCHWItL1yJ07d6DX621qXulM4kaFQoH09HS4u7sjKioKI0aMQFpaWq7lCjKMs6FUKqHRaNC4cWMAkMVH4+LiZDn49iBt9m84nzhyvBkTNxpKWRwtbhw2bJi4d1hYGNcTM4UayuNUKBQi1iBdn9giHjC8PgAUL14cQFYuHMVpqD+APfOKMXEjxXal4sYlS5bkibjx8OHDCA0NRVpams3viWFeJCi24OPjg2XLlgkRmiOEjUSFChXE1zRfAcDWrVvzrDm3I8WN9H2pGIphmCw0Gg1cXFxk+SBAZq0d4BhRqzRPFchas9j7+e1M4kb6O2k0GjRt2pTrAhkmB9zd3dGvXz9MmDBBnLtSzaApcaM0LmpYr0NxXrVajbS0NKjVamzatEmIh8zhrOLG4OBghIWF2ZR3yzAvOmXLlhWSMmns5O7du0hKSpJ9BluCQqFAVFQUDh48KL6nVCqhVCqxdOlSzJkzB+fPnxdxE4rdKJVKJCUl4eHDh1i3bh2GDBmCpUuX4ubNm+K6zipulPZOWrVqFYoUKWL1PRjGmbG2F1te1f/RviojIwNNmzZF+/btrb6Hs4kb3dzcAAA7d+60ab5imBcFaT+l+fPnA5DPKZQ34efnh127duVpTTEJG6mmWPo6W98rixsZpmAhjX9cuHABKSkpsp9LY5j2ihs//fRTk+LGY8eOYdy4cQ4RN06dOjVHcWN8fDxWrlyJNWvWWH19hnFmaF8RExODP/74AwCy5ZEBtvV7lkL9j2ivQXsZlUqFBw8eICEhIc/yQ3MSN0rfN+WJsLCRYRiGsRf+1GAYhmEYCzDWfDMjIwN6vR7vv/9+rm3Knj59ih9++AEREREiUYA2p/Xq1UPTpk0BOLbACsgdcSO9Ljo6WiQYAPLirNGjR+Pw4cOoVq2aQ98PwzgT5hr70te5KVkbPXo0jh49alKytnbtWvFva3EWcaNarRbNrnbv3g0/Pz+b7sEwzoglSUIqlSpXk4QMhY3mDvRtva8ziBvT09NRtGhRhISEoHr16jZdn2FeRG7duiWEa0Dm3OPu7o6XXnoJgHOIw6R7ofv37+P33383m9CXn+JGana1ZcsWbizBvPAYrkfosxMA9u3bh8mTJ2PSpEm4fv26rMGUowuZ9Xo9vLy8MHr0aLi7u8vWKydOnEB4eDgAeTGotEFu7969nUbcqFarcevWLSFspOKwuLg4zJw5E/v27XPY341hXiRCQkJkzS7p85/2Px4eHujRowe++eYbhIaGYv369Vi6dCnWr1+PnTt3YuLEiahXr55MikhQ8uCvv/6KI0eOCIGaMQqquJFiUpQISYlTDMPIoYJvwHJxY3R0NFxcXAAYLwCnYkcSj0gLwG3Zb+W3uJEahvv4+GDDhg2iIJ1hXnTMxWJJgiQ916lUqVKunutI5wljsVhbmuE4g7iR5kRvb29s3bqVY7FMoSUhIQHJycnZ9ga0D7AnP4Su9fLLL8vivnQmTBJ3e2O/ziBu1Gg00Gq1KFKkCFq0aGHX+2GYFxGaK1JTU2X/JqKjo41+3xpoXJcoUUImN6C5y94iL1PiRgCi8QSQ++JG6Tm4p6enXe+LYV406POV1uck5lCpVIiJiRE5Go6UmUrFjZ9++inq168v+7k0T2TFihXYsWOHeAZnFDdqNBpxTrx582a8/PLLVl+bYQoCFGegNYKhPN6eeYTmKjrjoGvRGKc1kSPIL3Gjm5ubiL+GhYWJ3B2GYfIOU8JGqi3SaDQAMvcQ7du3Nzq3mRM30hm0Wq3OFXFjmTJloNVq4eXlxXIkptCi0+lkckE6/1AqlUhPT3fY2iEgIADe3t4ibkLjkca6rc3ynEXcqFKpZM19V6xYAY1G49D9IcM4M/T/dZIfS+t4AGDHjh1iT2ArWq1Wdu4sPTeidYcjc3IdLW40/L50X+Tv74/27dtjxowZ2L9/P69JGAZZuRSGY4caVzqificgIEDIB6RritjYWLuvDRgXN0rjJjqdDnfv3sXSpUtzTdxIc6a7uzuGDBki5kuGKQxIc7KWL1+ORYsWOUzYCACdOnWS5aBTrDc2NtYh58+W4ghxI/09bt68iV69euH69es2C6kZpqBCtTbSGhuFQoHExEQAWY1w7SEgIEDESCguCgAxMTEA7JtTnEHcSLEmb29v7N69m/soMYwZihYtii5dulglbsxJ2Ehzl731Os4kbqT36u7ujvfee8+uOgWGeVFxc3MTeSA0JtRqNR49eoS1a9dmqx22hN9//x3R0dFizOr1eqSkpODGjRvi+iRjoriNTqcTNXt0v9WrV2PBggU4cuQIAMjWNobkl7iR3oe3tzdCQkI4h40pcJir/6Ovc7P+b9SoUTnW/1FfRxII2dLX0VnEjWq1GikpKfD19cWBAwfg7+9v9fUZ5kXil19+Ef2UXFxcjNb3tWjRAmXKlMn2fWuxp6bYHmEjkVviRloXpaWlAcibODLDFHak88LIkSNx5MgRWU8UoiCJG6memHorMUxBgdYAd+7cwfvvv4/evXuja9euGDJkCLZs2YLjx4+LcxXDvY21n7kKhQL+/v54++23ZdfIyMjAvXv3cOvWrTzNDzUmbiQodszCRoZhGMYR8CcHwzAMw5hh48aNRqVqer0ezZo1w5dffglAHhSyB+mGds+ePdizZw8AiAAX3aNu3booXbo0gKzEGkcGoB0pbqQN6+3btxEYGIilS5fi33//FT+XJjH7+vo67D0wjLMhPdgPCQkxK2wMCwvLFcmaobDRlGTN1kM4S8SNdN/cEjdSotDmzZu5QQ1T4KC5ZPPmzUaFjUDmGPbx8cHu3btzpUm4obAxNw/080vcSOs8jUaD8PBwLgRnCg0kFySJh7SAqk6dOqhZs2Z+Ph6ArGQcmgeOHz+OWbNmYdKkSaI4ylShpJ+fHz7//HOz4sZJkyYBsF/cOHPmTFGIwc2umIKAqaRl+tndu3dx/Phx9OnTBwsXLsTx48cBZDVucVQxM31+V6lSBe3bt4dSqRQJxQqFAqdPn0ZsbGy2mIkziRtDQkJw/fp1PHz4EIMGDcKjR4/E2o4Sgjw8PPD666875G/GMC8SmzZtwvz58wHI4ycqlQparRbe3t6YM2cORo8ejZYtW8oaX6lUKpQtWxZ9+/bFqlWr0LVrV1E4ZShyjY+Px969e0WBVU5jnMSN3bp1g5+fX4EQN1Kz8K1bt3IROMOYQboGsETcSPPX8ePHswkbpZI3RwgbifwSNxYtWlQ0DA8NDeV4LFOgyOlch2Kx1FSlWLFi2LJlS56c6+RWLDY/xY2NGzcW6xKOnTCFnaJFi8Ld3V1WlAQA58+fF3EJe3F3dxf7IyArBuLI4sf8FDe6uLiIOSU8PByVK1e2+/0wzIsGrWH8/f1lcRBq8HDz5k0A2QuxrIGuResFGuO0B6EGv/aKIY2JG11cXKDX68XXQO6JG93c3ET+yY4dO0QcmWEKCzS233jjDQBAeno6gKyzlKtXr4qcUUfmr9L4L1OmDD777DO89tpr4vyHcs9o/7N8+XKcOXMGgHnpW26LG4Gsv0OzZs0wadIk+Pr6wtvbG6GhobzXYQo1ZcqUkUkBiC1btog8D1uhNQ3loNM4JOmSvTJpQ3Jb3Ch9D7Vq1UK/fv3w1ltvwcfHByEhITyXMEw+YImwUa1WIy0tDb6+vtixYwfKly+f4/xjStxouD6xVtyYU34MkClu7N69OypXrowtW7bwfMIUWqiRpJ+fHwB5Ptvdu3dx6dIlh93HWP6JYf6rrdd2BnFjeno6ihYtipCQEFSvXt3m98MwLzKtW7dGlSpVxL9pvMTGxuLIkSN4+PChzddWq9Vwd3cXMQupAJb2H45uMuUocaNUhLRy5UoA2fdFJUqUQM+ePfkch2GQ+bmdmpoqy3GlnJSIiAj8999/AOyPwRYvXlzERSnOCgApKSkA7FufEJaIG+/cuYMlS5bkirhReqYjnZ8ZprBAuRe+vr6iMa4jGlPq9Xq4ubmhQoUK4j6Utx8XF4f169cjPT09z5p02iNulDY2HTZsGK5cuYIRI0bgxo0bLG5kmP9Hp9OhSJEioh5Wmlty7do17N27F4D9awcPDw9RB2hsLWDv9fNT3PjGG28gIyMDnp6enBPLMFZQtGhRdOvWzay4MTw8HPfv34dCoTAqbFQoFHYLGwlnEDdKJbA7duzgeh2m0BIQEIDmzZuLuKg0tnH27FmcP39ejDlTY49+9uzZM2zatAlPnz6V/ZzyWgzrmWndQP+r0+lkNTwnT57EmjVrsGPHDnGdnJ4jt8WN0vf5/vvv47PPPkNGRgY8PDx4bcIUSEz1dTQUNvr5+eVKX8e86sXmDOJGOiPevHkz9yVgCgWlS5dGhw4d4O3tLfYb0piFQqHArl27hNhRuoawBkslsLklbCQcLW6UxmNHjhyJy5cv21XvwzAvEtL/nxvW4eQmhvPJTz/9lK2uF8iKv0r/90UVN1L+LtcTMwUN+hy9e/cuAgMDER0dDaVSib/++gunTp3CZ599huHDh6Nr167o0aMH5s6di++++w4XL15Eamqq6BkgxdS4o3mL4p+EWq2GSqUSeex5+TluTNxIOSh6vZ6FjQzDMIxD4E8PhmEYhjHB/v378cUXXwCAaJIPZG0O79y5gxs3bgBwTDGC9OBv586dWLJkCQCIIklKFGjdujU++ugjAJkBMZ1OJ36eE7YE5xwhbqRA2Z07dzBo0CDcunULFy5cwIYNG7KJGxmmoCOVmkiFAzS3ABDCgX379qFy5cqiQaWtmDvYzw1hI2FO3EgBbsA+caO0YKtSpUpYvnw5SpUqBXd3d04UYgo0hw4dwrx58wBkNfwHstYpKpUKPXr0yCZ5tgVnONDPDXEjrY+kBwrS9c/777+PJUuWYMeOHTyXMIUKlUoFjUaDx48fA5AfsBk2uMsPpAf/V69exVdffYXhw4fj7NmzePjwIVauXIn4+HizewxfX1+z4sYDBw5YJG6k+US6riPUajXefPNNLF68GEeOHOH5hHnhMSVs1Gq1YpxQQUJCQgK2bNmCkSNHYu7cuTh//rwsqcYRKBQKuLq6omnTptDpdKJJjF6vx08//YQrV64YTdpzFnHj0aNHsWjRInz44YdC2EhrG04IYgozhnMMzS803/j4+OCbb75B+/btxRpFCu1Z1Go1PD09MXfuXPTr108k3UiLu1UqFW7duiWSoU3NUWXKlEGPHj3QtWvXF1rcOGLECPj5+UGlUnH8hGGswFpxY8+ePTF8+HAA8viNowrAjZHb4kbpGqhatWoIDAxEs2bNUKJECW4YzhRYwsLCxLmOYSyW5GAff/yxkCLbM5ZNnetIi0FzKxabW+JGY006peLGxYsXo2XLlti8eTPPI0yhx9/fH76+vmK9T3uDqKgoREdHAzBdFGEKGovu7u6ieZ60WDQpKUn2e/aSH+LGWrVqITU1VUhguQicKey4urqKfDNpnOHy5cuIioqya7zTtYoXLw4g6zyarkkFpfbm1JkSN9J9clPcmJycLBp08DqFKazo9XpUqVIFL7/8cjbh2i+//CIaTTm6ES+N/4CAACxevBgBAQHQarVC3ErrhmfPnmHr1q0W5505UtxIcx6to+hvQPNP06ZNMX/+fOzYsYPXJUyhp0GDBqhSpYoYu7QnSElJwZEjR/D8+XObr51T0z1qmmdPDm5OOFLcSHNJYmKi+D3p+6lZsyZGjhyJffv2cQNOhskHTAkbtVot9Hq9OPfx8fFBWFiYEByZmn/MiRup0ZVKpbJY3EjrmsjISCF1AeTnW8OGDUN4eDjvb5hCDcVIAgICAECMZZVKBaVSid9//x2A/XHSIkWKwNvbW+yh6DM+ISEB6enpRvNNrX0f+SVupLiJm5sbzylMoado0aKoVKkSAHm+mlarxd69e7F//34kJCTYfH1pvEUqMjHV8Nte7BU3ShuGDRw4ECtXrhR5gIb7otzYrzHMi4hKpYKXlxfq168v+75Op0NkZCT+/PNPAPbHYEk6T/UAhvktjppXLBE33r17F0uXLnWYuLF///4AMntB8JkOU9gx/Hx1RF6qQqGAm5sbunXrBiCrfo72Hw8ePEBsbCyAvKs5tEXcmJ6eLvqeBAUF4f79+3B3d8ejR48wbNgwXL9+nXueMAwy5w1PT080btwYQFbuKK1Fzp07h/j4eLvvk56ejoyMDFktIpBZ8+IockvcaCwnlqhRowYmTZqEt99+G1u3buV1CcNYCYkbJ06cCJVKlaO4cd++fdi8ebNM2KjVakVdsyPrdfJT3Ni4cWOWwDKMhGrVqok+AtIctitXrmDTpk04f/68LBfMGAqFAvHx8fj4449x6dIlcR1pzJXy3uks2M3NTfyMzpXUarW4D80Bf/31F7Zs2YJDhw6Je+WEMXGjYQ6bpeJGWoukpqbK7kvP3KFDByxduhTbt2/neYQpkJjr60gCoqJFi2LPnj250tcxL3ux5ZW4ka5D4sbly5ejWrVqcHd35zNiplBRpUoVjB49Gs2aNYOnp6dYaxiKG4ODg4UwyNr6OHM1xXklbCQcJW6UChuDgoKEXOrq1assbmQKPNJ46o4dO7Bo0SIkJCRY3K/MVgz7xdJ8Qj2RaP+j1+uh0WgAQJZr9iKKG998803Rn43riZmChDT/qlevXnj69Klsn6NUKsV64cmTJ/jjjz8QGhqKiRMnIigoCN27d8egQYOwbt06HDhwAI8fP5adp9LnsLE5qU2bNihWrJiYL6iG7/Tp07LX5hWG4kaa01jYyDAMwzgK/gRhGIZhGBPEx8ejcuXKUCqVSEtLEwfrdMh+9+5djBo1CteuXbM7+CUNqn333XeYMWMGgKyG5LRJLVeuHHr37o3Dhw9j8eLFmDRpEgYNGoRBgwZh1KhRmDhxImbMmIGNGzfi0KFD+P3335GcnGy0mFPa+CInbBU3UhMalUqF27dvIygoCA8fPoRGo8Hz589x7NgxrFixQlYMzjCFgT/++EMUGrq4uMgKF4HMMVe7dm0R7KHGcrZg6mA/rw7hzIkbpYlCloobaa6lolWap+heFStWxKZNm7Bv3z4+2GcKNK1bt8arr74KQC4wIzIyMvDTTz9h06ZN4qDOlgC3OflrXh7oO1LcKD3QX7ZsmSiioPvQXNO+fXu8/PLLDn0fDPMi8N9//+Hu3btiTNE4I5lZfkLPMn/+fMycORPffvstgMy9h0qlwv3793Hu3DkA5pvmOELcSPPJzZs3MWXKFNy8eTPbfdRqNerWrYvy5cvb/sYZxkmgMRgSEpJN2ChN4tfr9dBqtWINotPpEBoaimnTpmHs2LG4deuWXY1opNAap23btujatSsA+Vrk66+/xpMnT4wWNziLuPH06dOIioqSCRvT09NRtGhRLqZiCiXGpLD0dXp6Onx9fRESEoI6depYtM+hz++pU6eiS5cuMlmIVOL433//ISIiwuz1ypQpg549ezq1uNFUEbinpydatmyJGTNm4NChQzzHMAWa3Ej2s0bcSA09af6ioszcEjYSjhQ30nulpumGa6CqVati2LBh2LlzJzcMZwosNEalQkPD5piHDx/G+fPnZQUL1mJYDGFYsJnbwkbC0eJG+vs9fPgQ27ZtE/spafGmj48PVq5cyfMIU+jR6XRwd3cXsQnp2uLhw4dYs2aN+L4t8wytNzw9PcVnurTBLxVaOXJd4mhxY07vm8SN48ePR/369bFp0ybe6zAMgNq1a6NatWrZiqmuXr2Kq1ev2tXY2zCvRZqHplAoRG6IIzAnbiSJG2CduNHwZ9J/9+7dG1OmTIG7uzs2btzIcwpTqFEoFPD19UX9+vVF0yuKcQBAeHg4Ll26lCv3puYOFSpUwOrVq1G0aFERV6Gfa7VanD59WsRiLSnadoS4UZp3MnbsWHz33XcAsje9aty4MZ8TM4UemjNee+01APKm4WlpaThw4IBd8wiNe2nzORLVu7m5wc3NzY6nzxlT4kZqIGpO3Ehzye3bt/H+++9nE+HS777++uui8SfDMHmHOWGjQqGQCRvDw8MtEjYSpsSN0rMdtVptVtwonU/69u2LGTNm4Pr16+Ln0vMdHx8fe/80DPNCQ+Oubt26cHFxEU11KX65bds2/Pfff3bXCZI82vAaGo0GLi4uDhHf55a4kZ45PT1dfE/69+jduzdmz56Nbdu2ccyEKdTo9Xq4u7tj3Lhx8PX1FXsCyp1NTk7G/fv3bRaOZGRkIDExEcnJyQAg9jlA5ue5redFlmCruJFqsO/cuYMBAwbg8ePHUKlU2LRpE7744gvxPhiGMU7p0qVl/6ZY5dq1a/Hvv//adW1aH9DaB8gaj3TG4sg5xRJx4507dywWNxquqaTn3BUqVMD//vc/DBs2DLt37+b1CcPkIlWqVEGFChUAQJb7ce3aNezduxdA3n7WWyNuvH//PlxcXHDz5k0EBQXh0aNHUKvVSElJgbu7Ox4+fIgJEyYgLS0tz56fYZwV+tylz1RpDhsA7Nu3D6dOnZL9ri24u7tDpVLJ5hNAHo9wBI4WN0pzYvft2wdAHjfR6/WoWbMmvvnmG16XMIyNFC1aFF27dsWECROMihvj4uKwYcMGzJs3DwDEWU1u1uvklrjRcB6Vng+VK1cOU6ZMwbvvvsuxWKbQQ2OoX79+eOuttwBkH3snTpzAN998g+3btyMtLc3oeW1cXBwuXbqEUaNG4eeff5YJGyn3xN/fH23btsXChQuxa9cuHDhwAEePHsXOnTsxc+ZMvPvuuyhSpIisr4K03ufatWvYvXu3OKs1FW8xFDfSnGCNuFEqcfjss89w5swZAJA9GwC0a9cOVapUsejvzTAvItevX8/W1xGALBZavXp1pKSkiN+xNR7qDH0drRU3fvnll2bFjTRfxMfHIy0tTaxh6F7FihXDpk2bcODAAV6XMIWOihUrYsSIEWjZsqVM3ChFoVBgw4YNVosbzUlg86qm2BB7xY30OyRspHjs1atXMWvWLPz55598bswUWKS95Tdt2oSZM2fiwIEDWLduXa6KG3MSNgLZ+8W2aNECEydORKlSpcTPnVXcmNP6hcSN48ePR6NGjbiemClQ0Ji9d+8eevfujejoaLHPoTFB/R2pFk6aD5KRkYF//vkHFy9exJIlSzBp0iR07doVnTp1wrRp07B9+3b8+uuvSE9Pl52NUu80Ly8vuLq6yj7zAYj89fyQI5K4sUyZMkhPT0fnzp1Z2MgwDMM4DP4UYRiGYRgT9O7dGwMHDhSBF2PN4+7evYtx48bZJW6UBtUOHTqEiRMnApALG4moqChMnjwZ48aNw9q1a3H48GGcOXMGZ86cwbFjx/Ddd99h586d+OKLLzB+/HgEBQWhU6dO6NevH9asWYP9+/cjOjpallhgeMBuiC3ixkOHDgEA7t27h4EDB4pAeXp6OlxdXfH8+XP8+eef4pCPYQoLtWvXxtChQ8V4IKSBr0uXLmHu3Ll2FVKZauwrbQSRF4dwlogb6XnMiRulDSXGjx+PsLAwANnFjRUqVOBmV0yBRqvVQqPRYOvWrahdu7Yo6qZ1CjWeunHjBrZu3Yq9e/ciMTHR6mbh5g7081LYSDhC3ChNOuzTpw/Wr1+PHTt24O+//xa/w4F3prATExODtLQ0aLVaWTEzrd+dIeklLS0N165dA5C1d8rIyEB0dDR+/PFHAJaNZXvEjdJGnIMHD8bBgwcxf/583Llzx8HvlmGci/Xr12P+/PkA5DI1IGsdQv8ZJvU+evQIR48eRVBQEBYsWIALFy7Irm1J0qEh0jVO8+bNUaxYMVmBxIMHD8T+ytj181vcKE1aMhQ2hoeHc0IQU+gwJmykxCASNoaHh+Oll14ymtBsDOnn96xZs4QUkeKy1Hjvxo0bommuOUqXLm1W3Pjjjz/mi7hRKpX++OOPkZycnG2+8vT0RLt27UTjDIYpiOzZs0c0THA0loobaU1E6yUqBs9NYSNhStxIYhZz4kbpnqddu3ZYvnx5tvcPZDbiKVGihMPfA8M4C4GBgZg9ezZcXFyyreFJECJtrkA/szUWa64YIi9isY4SN0rnkQ8//BBLlizB9u3bkZycnG3txDFZhskcB+7u7mjatCkAiDUEjbfjx4/j4MGDAOyL0dJnOX2e0/8a5pA4CkeJG2kOfvz4sdEYrEqlQr169bBmzRpUr17doe+BYV5UPD09UaJECVmBI52pzJ8/H7dv37ZZOG0ofJXOIZQL4kjMiRulX1sibqQ55dmzZ4iMjDT6uwMGDMCJEydYLM0Uemit0K1bN5QvX16WnwFkyqWPHj2KZ8+e5cr9aW1QpUoVfPXVV/Dw8MgmRktMTMSKFSvw9OlTi4UF1ogbb968KXutdK/Tr18/nDx5Eps2bcKRI0cAOMd5OsM4EwqFAhqNBr169RJnP7Q2UalUePz4MWbNmoXbt2/bdH0as7QuoTOg9PR0pKen52rMISdxI80TpsSNhjknjx49wuzZs0WDX55LGCZ/MSVspHUQnWHbImwkDMWNgwcPlokbaX2iUqnw7NkzrF69Gvv375eJG6VNrgYOHIi7d+/ixo0bWLx4MefFMowR6DO2Zs2aKFq0qMhLoYbez58/x6effoqoqChxrmoLWq1WNP2U5uF6eHgAgFVzhSkcLW6U5tmvWrUK//zzj/iZ9Jz4ww8/xMsvv+yQ98AwLyo0/gICAtCtWzfRqBsASpUqhWHDholcW1vmEpqDjNUfurq6imewl5yezRZxo0ajySZCoty/jRs3YvHixXY/L8MURGgcduzYEcWLF5c16AeAyMhI/PDDD3bFYJVKJYoUKSKakVNsAsieL+8oHCVupPXJrVu3ZFI46e9WrlwZI0eO5Lx7psAjFYLlB5UqVUKzZs0AQBYfATLz5u/fv5/nz2SpuHHhwoU4f/48hgwZItYptFdKTk6Gn58fFi9eLOLMDFOYoTVBp06dUK1aNVnshNYSEydOxNmzZ+1aP2g0Gri4uGTb10j7rjgKc+JGnU6XTdz4559/yl5Lv0ex2D59+mD+/PnYunUrgKy4Cb0fnk8Yxj5MiRuVSiWSk5MBZMZZ09PToVAocr1ex9HiRnq2Bw8eIDQ0VLwf+r5Op0PFihXx5ZdfsmiNKfTQ56tarUbr1q3h5+cnfiatSblw4QIWL16MgQMHYu/evbh06RLu3LmD33//HT/99BOmTJmC6dOn4/z58yI/X1r3FxgYiM8//xzLli3De++9hxo1aqBcuXLw8/PDK6+8gt69e+Pzzz/Hpk2b8Oqrr8qkb9Ln+OWXXyzO/TAUNxoTS+ckbpSuTXr37o1du3Zhy5Ytsnpmzj1hCgvVq1fHxx9/DHd3d7E2kH7+Ui3t559/jj/++AOA9bV/gHP1dbRG3PjLL7+YFDdK+zqOGjUKwcHBRsWNfn5+CAgIcOj7YJgXhdwQNzqDBNYUtoob7927B5VKhdu3b4tzYxJNqdVq/PXXX1iwYAHS0tLyLdbNMLmFobCReifFxMRgz549WLt2ba6IGw3nE2mPAsP5pGnTpli1ahUCAwPRr18/0SPEGcWN9EwRERHZanqAzFjNm2++iVWrVnE9MVOgoJjh+++/j6ioKFm/depvIu2ZRv+Rw4I+X+n3ASA2Nhb//fcfdu/ejU8++QT9+/dH165dMXr0aGzbtg3Hjx+HVquFTqeDn58f3n333Wx7puvXr+PZs2f59vlds2ZNfPnllyJ+A7CwkWEYhnEM/EnCMAzDMDlAAawuXbogMDBQNF+SBpIcIW40FDaOHz8eQGbjXhKkAJlBK5VKheTkZDx9+lRsfKlwiX5OX1PALC0tDXfv3sXvv/+OJUuWYPLkyejcuTO6dOmCOXPmYNu2bbh06RISExNlkgXDv4O14saFCxdizZo16NevX7bE5dTUVHh7e2Pt2rUi+YhhCgMUCB43bhyGDBkiG1fSosXExEScPHkS3377LW7cuGH1fcwFzfPyYJ8wJ26UJh7lJG6UJgoNGDAAJ0+exN69e7Fr1y4AcnEjwxR0qHmVRqNBSEhINnEjrS8UCgVu376NsLAw7NmzxypxozMf6EvFjUuXLkXZsmVNihvDw8PFa6XNaQYMGCAa1+zcuRNbtmzJNZkDw7xo0LqFmtvS+EpNTQWQs/A9L2nbti0qV64s9iIAxJ7o9OnTuHHjhsUHe7aIG9PS0sR8QglCGo0Gp0+fxpw5c4we8jNMQSAyMlI0RaCmCdKkfekhvvR7gLwo4vHjx9ixYwf69++PxYsX49SpU+KatkDXbtasmRC5qVQqKJVKREVFITg42OT181PcKIWFjUxhxxJh45YtW1CpUiWjY8gUNGe5uLigY8eOcHNzE3MCNd4DIIotLBnXJG7s0qULfH19s4kb9Xo9jh49mqfiRmn8ZMiQIdi7dy/GjRuHlJSUbPMVF1wxBZnQ0FBMnTpV7GlyA0Nx49ixYwFAdrZD0BimAvDg4OBcFTYSOYkbqVAqJ3EjSZykDX6jo6PxzTffYO3atdneP8MUZKRykmnTpsHNzc3oeXF6ejrOnz+P1atXWy1udDZhI2GvuNGwUXhUVBTi4uKwZcsWbNu2TeynGIbJgsZPzZo1Ub58eTHGaMxFRUVh3759OH/+vF3Xp+Y1NIfQnCOdexyNveJG6dqkffv2GDFiRI6FVm5ubg5/foZ5EZE20Pfy8hJjivJGqJl2RESETTECafEWkNXcRfpv6e85gpzEjZQ/Z6m4UdpY4n//+x/WrFmDiIgIo79L6x+GKczQuC5TpgzKly8va+RCze927twp1iiOlrbSfQCgfv36GD16NNzc3ET8mBpoRkZG4quvvkJqaqrF85ql4sYtW7bI1h7Sc+LIyEgolUpcvXoVa9eudYhkm2EKIjqdDq+//jr69OkjGrbodDpkZGTA29sbb775JipVqmT3PaQYnmXnFjmJG2mvk5O4UTqXPHjwAK6urtBqtZg+fTp27Nghfo9hmLzHlLCRam6o8a89wkZCug9p2rSpTNwoPYNWq9WIjY3FmjVrZOJGY02uEhMT8dtvv2H27Nm4fv26I/4sDFOg0Ol0IudDeqZMY+6vv/7C559/joSEBJs/j1Uqlaw5P13HUI7kCBwlbpQKG3v16oVvvvkGu3btyrYfYhgmC4VCAVdXV7Rt21bke77xxhsYMmSIyCORyg6tvbZarRbnRdKmWvbEXWn+iYmJkTXwMoY14sbt27cjIiJCSOmpnpia+Xl6eqJDhw42PzfDFGRoXPn6+qJMmTIA5Ge4SUlJ2LlzJ3766SekpaXZfB86dzYkN3NP3N3d8e6772LatGkmxY1LlizBkSNHAGTlr9Ez0/okMDAQH3/8McLCwozeKzdzBRkmPzA2Xg3PYs39viOhcdmhQweUKFFCVmsMZDbpvHXrVp48iyGWiBtPnDiBoUOH4uHDh7IG4VS/ExISwg19GUZCRkYGNBoNevToIc5RpbnwOp0O3333nV33iIuLQ0pKiqynEQD4+/vL/u0oTIkbqZmxVNy4ceNGmbiR+jhQTmxERAQSExMRHBwsEzcyDOM4SNw4fvx4IW6kehhpvjr1XKM5auPGjblWr+MocaOhBHbRokVYs2aNuIe0bpL3OgyThVKpxPvvv4+3335bFs+QjvekpCRcvHgRM2fORL9+/dCrVy/0798fY8aMwYkTJ3D37l3Z3orOf6dPn47JkyejcePGALL2OtJ8dwBwdXXF66+/jq+//hrt27eHj4+PURF0cHAwfvzxR4velzFxo2EOm6G4kWIrlHdCZ8fHjx9HSEiILD+FYQo6tKfo378/xo8fDxcXF/HZKz3TSE1NxdmzZ/Htt9/i8uXLAKwTN5rq6yjtn5iX9X+OEDdK1yVBQUE4f/48vvvuO2zZsiWbuJFhCjsVK1bE8OHDHSJuNCWBzas5hebP2NjYHH/HFnHjnj17cPbsWQwcOFCcG9Nza7VaFC1aFLNnz4ZGo+G1ClPgoP9Ph4SEiN5JtK+PjIwU/cocKW60dj6h+AMADBgwAAMHDnRKcaN0jdKhQweMGDEC//77b7b7KJVKuLq6WvVsDOPs6PV6XLlyBW+99RYaNWoEFxcXaDQaIWWkuYN6rlKfRcM8MKrXAbLiqFSHq9fr8c8//+DUqVP49NNPMXz4cHz44YcYPXo0fvrpJzx58iRbntrTp0/x7NmzfP38rlOnDqZPnw6AhY0MwzCM4+BPE4ZhGIbJAWkAq1u3brkibjQnbDTchEoPAaXN9CiZiA7I9Hq9SAaQigVoMx0TE4MbN24gLCwMs2bNwuDBg9GlSxcMHjwY69atw/79+xETEyOSlQhrxI3Pnz/HV199hYiICJmwkRKXw8LCxN+TYQoL0kDwmDFjMHz48GyH9jSnJCUl4cSJE1i1apVV4kZzkrX8ONgnLBE30jMYEzdKD/YfP34MlUqFK1euYNu2bULIxodvTGHClLiRihNtFTeaOoDLj7nE2LPSe6hVqxaWLFliUtz42WefiXlCpVLJBGtqtVoUiGzfvh379u2zq4CVYQoKiYmJsn/TOIyMjATgHJ+5devWRY0aNWSCRWnz8jt37lj1nNaIG6no7ObNm7L5hL5/+vRpLFq0COnp6Q5/3wyT3xQvXhwfffQRmjVrhoyMjGzSNDrE9/X1RfXq1fHqq68CyCpOoNgBHeDrdDqsXbsWU6dOxZQpU3Dr1i0kJCQAsL4xlU6ng4uLC8aNG4dixYqJ2IpKpcLFixexd+9ek6+3Vtx44MABfPPNN0hMTLT48N6UuJGFjUxhx1DYSPOGVNgYHh6OihUr2tXsUqFQoGnTpvDw8BAxVKkE+u+//84WFzUFNfHr2rWrUXEjgDwTNxpKpR8+fAiNRoMTJ05g7NixQtzIMAWdTZs2Ye7cuQCQ6wm21HwCAIYNG4b27duLuUY61qViopUrV6JevXpizOY2OYkb6XmMiRuVSmW2+YT+losXL8aKFSvE7zFMQUd67tu9e3ez4sZz585ZJW40JWyU7hfy41wHsF3cSMI1ahRO6xIAuHv3Lr799lvs3r0715+fYV40aF5588038eabb8r2AfSzkydP4p9//rHr+mlpaUZF0z4+PrLfczS2ihsNZdJJSUm4desWZsyYYVTcyDBMJjS+qlevjoCAAABZhVgZGRlITk7GDz/8gAsXLth1/eTkZACQFX2pVKpcm1MsETfSOsmYuFE6pwwePBgREREi70QqbmQYRo5er4enpyemTJkCHx8fEUOlfK/ExETMmjULt27dyrG5hCNQq9Vo1aoVWrduLSRGAGTxXWocYWkjHWvEjZTHd+/ePdk5MXHlyhVs3bpVnHUxDJMFrR2aNGkiOwetVKkS+vXrh2XLlgGwTfxKr4mJiQGQdR6kVqvh6+sr1iWOIKe5xRpx45kzZwBkn0vS0tKElPbLL79EfHx8njc3ZxjGMmEjnWE7QthIWCJupHuQuHHv3r1ITU3Fw4cPszW50mg0SExMxIMHD1C0aFE7/yoMU/CgcV63bl2Rw0b/q9frkZqaCk9PT3h6etp8D1qjUDyG4g1ubm6ynzsKQ3HjwoULTYobJ0+ejP3798uel2ImAwYMQHR0NABg69at2Lp1q81xaYYpLNSoUQMDBgxAx44dMWzYMPTo0QOAvAGeLcTFxSEpKUmcFdF4poZ51kJrnbNnz2LUqFE4cOCAw8SNy5YtQ6dOnWR59dK82K1bt7IIiWHMULx4cYwaNUrEEijWqlQqERkZievXr8uk0NaQkZGBxMREpKSkAMjK+QcAPz8/ALknWXNzc0Pbtm1Nihvv3r2LpUuXCnEj5eEYW5/MmTNHiBv5TIcpyCgUCrG337FjBzZs2ICpU6fis88+w4IFC7B371789ttvogbQGsmALdDn/ksvvYTSpUtnq4VJTU3FihUrEBMTky9j05y4MT09XeTSU+4d1+8wTM7Q+GnQoAFKlSol+5mfnx+CgoIwb948u+6RU+1tbub/mxI3AvLeBFJxI8WObt26JcuJ1Wq1ePjwIb766ivs2LEj156bYQozJG789NNPxf5B2q+NoM/3rVu3om7dutnqnh2JveJGqQSW+ielpaVhy5YtQpzAUiSGMY5Op4O3tzcmT56MN954Q/RapM9yquulcZqRkYG4uDikpqaKWC2tB2hvAACzZ89GYGCgTJJqOA6lMVGdTofSpUtjwoQJaN26tTj7AbLWE0qlEidPnoROp7OoX4KhuFGaF2cobqR91927d2V5JyS4PXr0KHbu3CniQAxT0JHW/gUGBmLy5MkycSOQVa9C4sZVq1ZZJW4019cxP+v/7BU3Stcl1DP2xo0b2LVrFzZu3CjEjQzDZFKpUiWMGDHCLnGjKQlsXs0ptGY6ffo0WrdujWPHjuX4u9aKG8PCwjB69Gij58be3t4cj2UKPD/99BPmz58PICvvlMa1o8WNpnoUSHNhjc0ndN9+/fohKCjIqcSNhlLppKQk3L17FzNmzDAqbmSYgoZCoUC7du2wevVqbNiwAfv370dwcDBGjRqFDz/8EK+++ip8fX0BZI4lGjckb6R8EMPeR/S7xsSPAHD16lUcP34c48ePx4kTJ8SzUG1OWloa7t27B8Dx+a+2wP2OGIZhGEfBnygMwzAMY4LcFDeaEjamp6eLwDQFvKgAgf6TNuajQ3oAsuCW4f1oQyuVIwCZDfnu3LmD8+fPY9GiRZg8eTK6d++OVq1a4dNPPxVNbOi6logbpc9hWGDFgXKmMJOb4kZTkjVpkWdeHewbC6KZEzdKG1aQuPHWrVsAjDe7UqlU+PPPP3H48GE8f/7c4e+BYZwdU+JG6WezNeJGUwf6eTWX0BpK2kjLEeLGPXv24P79+9kEa9ImGD169LC5gJVhChJU2CQVGQFAUlKS7N/5BYnZRo4cieLFi8vWHTTuqQmvNUkJloobZ86cidu3b2PIkCGy+USpVCItLQ3e3t746KOPZInZDFMQoDHRoEEDBAUF4e233waQlRAjPZinxN5Bgwahb9++Yk1iuJ6gr6Ojo7Fv3z6MHDkSs2fPxvXr12Xjz5KxTL9fpkwZ1KhRA0BWXCItLU3I0sxdwxJxo1qtxoMHD7Bnzx48fvzYwr9gJsbEjdRYnOMmTGHFUNhI8hCKlfr6+mLLli2oVKmS3c0u09PTUaxYMdSpUwcAxPwFZM4ZtN6xhjJlyuS7uDEtLS1HqbSrqytOnDiBKVOmWP3eGOZFQzqfeHh45PqanOYqAPj+++9x6NChbAWf0rHu4uKCo0ePIioqChqNxq4kamvISdxIBVdScePhw4cBIFsMJS0tTewV161bh2fPnnHDcKbAIP3/8v3795GWlib7eW6JG80JG/MyFit9JkOsFTd+8cUXiIiIwK1bt2SNwtPT00XsNSUlBU2aNHHIe2CYggaNyzFjxqBKlSoizkLNonr16oW+ffs69F4UX6V1TW7Gf20RNxqT06tUKvz+++/46KOPWNzIMGYoX748BgwYAAAyYauPjw/eeecdfPDBB3Zd3zA3xDD3IzcwJ27UarViTpOKGw2LNh88eCDESMHBwVi3bp3V8V6GKQhYsr+neGflypXRu3dvuLq6yvJR1Wo14uLiMHLkSDx69EgmVHQ05cqVw/vvvy/2JdL55tq1a6IZpjVrGkvFjbt378apU6fQv39/WQyW3q+HhwdmzZpll9iFYQo6jRs3RqdOnQBkNvodNmwYRowYAQA2ryFoT0ExHWljXZVKZXOcmOax27dvixxeU3OLKXEjNca7cOECgoODsXfvXgwYMCBbU5qUlBT4+PggLCwMXl5e+Z6fwzCFEZpTwsPDjQob6QzbkcJGwhJxIzUHj42Nxfr167Fy5Ur06tUr23xCOWzBwcEoU6aM3c/GMAWVt956C4MGDQKQJQoICAjAkCFDMHv2bADW5aBKSUlJQXx8vIjvSmMyAOw6yzZ2Fg3I55FGjRqZFDfq9XpMmTJFiBtVKpWImdCcQvPJ5s2bsW/fvmxnaAzDZELjrl27dpg6dSqaNWsmvm9vc6jY2FikpqaKuYQgwZo1UHz0/PnzGDBgAH777Tfs2LEDhw8fdoi4MTo6GnFxceJ8meuJGcY2atWqhc6dO8v2ISQimzFjhs3XpXNX6dqGvqYYqCPiEDnNI7aIG11cXIQYSbo+ATLFjdu3b7f7eRnGWXny5AlOnz6NwYMHY+DAgZg5cyYWLlyIPXv2IDw8HMHBwfj444/Rq1cvjBw5EsuWLcPz589z3Cs4Cp1OB3d3dwwfPhweHh7irEir1UKhUODJkyf4888/AeRPo05T4kZCr9fzOoVhrKBq1ar4+OOPAWSO65o1a2Lw4MGYPHmy+J6tUG2MtCGwFFvmMlrfmIrnWCJupLnj0KFD2LBhA27fvo07d+5g0KBB2XJitVotMjIyUL9+faufl2EY09BY9vb2FmckhusdaX+ztm3bis/13G7Ybau4kXLcpHsdqi168uQJVq1aheDg4Fx9doZ5kaGx5+/vj8WLF6N58+YiT0sqZSRRojQWYih3pLjL6NGj8eGHH4rfsfQ59Ho9/P39MWrUKLz88suyGj2SJfz444948uSJxXOSobjRmFh6yZIl+O677/Dnn39myzuh+9C+TSqTZJiCTm6KG031dcyr+j/psxnbh9kibrx+/TqA7H0dKXby77//4ujRozb1XWCYFwF7YqgVK1a0WdzoDHOK9Nx42LBhSEhIwNSpU/Hzzz/n+BpLxY1KpRLPnz9HQkKC0XPjsLAwjscyBZ6GDRuicePGACDbjzha3GiuR4E5Aaz0vv3793cqcaO09o9iJ9R3evTo0fjvv/+s/nsxzIsGrfv1ej0qVqyIWrVqYdSoUZg9ezaCg4OxZ88erFmzBmPGjEG3bt1QpkwZeHt7ixwz+l+KVdC4l+aIUd2ctGe1SqVCamoqEhMTxf3pebRaLc6ePQsAuVo3yDAMwzB5DUsbGYZhGMYMuSFuNCVspMN8OriSbpK9vLzg7e2NokWLwtPTU2yAtVqtLBgHQCQQ0H/Se0slCpRkQO9VqVRCo9HgwYMHiIyMxNtvvy0KQglLxI3SZ+HEZYaRkxviRnuD5o6A5pK7d+9me59SzIkbpUKDgwcPYs2aNTh9+nS2Zld0UOfp6YlPPvkERYsWdcj7YJgXDXPiRlp3WCJuNBQ2Gh7o59VcQgf6vXr1Eg00HSFunDp1Krp27ZqtOQ2tU3bu3MnrFIb5f6QNLqX7idOnTyMiIiK/HktA81vRokWFTI2+R+uPyMhI8X1rsETcuHv3bvzvf//Dw4cPjc4nYWFhqF69umPeLMM4EdIGK/Xq1cPgwYNl4kbpnPH8+XNcuXIFe/bswfjx47FhwwZ069YNQFZjcOnhPa1dbt++jQMHDqBHjx5YunQpTp48Ke4JWJb46O/vLwokpOuUXbt24fjx42Zfb07cKG2C8cknn6BKlSoW/f2kSMWN/v7+SE1Nhbe3N8dNmEKJMWEjgGzCxooVKzqk2SU1vZMWGxB6vR7379/H06dPrS4ez29x49dff42bN28alUrTHDN8+HCr3hPDvGiEhISI+cTd3V0Wy8gNDM96xo4dC8C47Ii+Tk1NxaFDh/D5558jJibG5iRqW8hJ3EjzFIkbQ0NDERoain79+mWLoaSmpsLHxwc7d+6Er68vNwxnCgTSsbxu3ToMHToUJ0+ezHVxo2EsVnquIxWY5UUs9uzZsxgzZgzS0tLEmDfEGnHjhQsXMHnyZPTt2zfHRuE7d+5EhQoVHPI+GKagQeO/WLFi6N69uxhrr776KoKCgvDJJ58AsK/hFRVN071o/rFHLkRzHO3pTK1xrBE3AsDTp09lReAkcwSA//77TwhhGYbJDo3Nd955B7179xbfe/nllzFo0CDMmzcPgG1zCr3m+fPnACDWAiqVCm5ubihSpIjdz00Ym1NMiRuBTNGCVNy4b98+qFQq3L59WzanpKamCnHj/v377RImMIwzYkncgfY05n6XGmY2bdoUlStXBgBZoym1Wo3bt2/jk08+Ec2mHB33oPmhWbNm6NWrF4CsRsC0Prhw4QKSkpKsbqZhibgxODgYY8eOzTHvZNu2bXzOwzAmoDkhKCgIX3zxBYYNGyYE0tLzFGuRNoWQXoPiPlqtVuxVrHlWipu0a9cOa9eutajBQ07iRroeFarPmjUrx5yT0NBQVKtWzbo/AsO8QDx48CC/H8Eshw4dwmeffQYgq8ZHoVDkqrCRsETcSPPGs2fPsGHDBkRGRuaYw8bzCcPkjLRpZ9u2bQEAtWvXxpAhQzBu3DgAsPvM2bBGCIBd8Ux65piYGADG805sETf++OOPuH//vixmIhWyubq6okuXLhyLZZgckI47X19fAPJzaHugOUitVsvuY23cQ1qn079/fwCZcZ2LFy9i8+bN+OGHH8w+sylxo7SOmfJsuZ6YYWyjaNGiePfddxEQEAAgs1n/oEGDxNmpvRI0yj+Vigrs2dPQ+oTOi0zlxVojbjx16hSioqJkYiTD9UmtWrVsfm6GcWZOnjyJRYsWYezYsfjtt99w//59ABDiUoqD0tnFuXPnsGrVKgwcOBDbtm1DZGRkruV20tqkcuXKqFSpEgB57eGTJ0+EUJXGd16Tk7iRnpHXKQxjPU2bNsX48ePRvHlzDBkyBIGBgQDsO9sBMuMblH8q3Y8UL14cgPVCadr3/PLLL5g+fbpJsYihuLF9+/YycSPtawDg+++/x8KFC9GnT58cc2LDw8M5J5ZhHIy0tv/QoUNCYm/YT00aKzlz5gyWLVuG+/fv50mti7XixjVr1uCff/7BrVu3jEpg6cypefPmuf7sDJPfSOMb1u4bqN9YiRIl8PnnnyMoKAg1a9YEANGHkeYHGov+/v4oUqSILB4CAPXr10e7du3Ev62ZOygWWqpUKXz66acoUqSIOFcGMvcesbGx+O2336x6n5aIG+fPn58tZiLd6+zYsYP3OkyhxFDcOGXKFJPixjNnzmDVqlX4448/ABiPbZqr/8sruZpCocB///0n1heOEDcuW7YMx44dM9rXUavVwsvLC/PmzcvWg5ZhCgLSOMSFCxdskn/ZKm7MqVdsXs4p0nPj9PR0uLu7Iy4uDuPHj8epU6dyfK0l4kZDySzHY5nChlarRZEiRbBy5UrRv9BwHQLYL24013va0vnE2cSN1K8lKipKJqmX1hPfvXsXrq6uVt2fYZwZw7FP/6b/z0vXF/QzLy8vlCpVCo0aNcKIESMwZ84c7Nu3DwcOHMCiRYswfvx4tGjRAuXLlxfream7QloHLPVWUCyFoM9+aT/r7777Dhs3bhTXYXEjwzAMUxBwzI6bYRiGYV5wzBUU0SZQqVQKwcDmzZvx77//iu/TJlIqbly6dCleffXVbA3mchI2pqenQ6FQiObkSqUS1atXR6NGjdCwYUO8/PLLIgBG94mIiMCjR49w6dIlxMXF4fr160hLS5M1l9Dr9VCr1eLQjL5HX0sLolxcXEQT0pUrV6J169ZG/yZSsUKrVq0AAEuWLMHt27dlfxMOlDOMceiAW6VSYcyYMQCAVatWyeYIQ3EjAAwfPjxb8wRHBc3tQXoI169fP3Tt2hVz586VvU8phuJGADhy5AiSk5Nl4saMjAzs3bsXP/zwA5KTk40mCvHcwjDZxY19+/bFH3/8IT7/pWsREjcCQOfOneHh4SFroAc4z1wCAKtXr4ZarUa7du3EesWw+YWhuHH8+PF4+PChTOBGf6Pnz5+L+YXnEobJmYCAAPj5+YnCaTpAT0hIQGJiIgDHNZOwFYVCAT8/P3To0AEXL16UHdxREnNMTAz8/PysvjaJG6dOnYoTJ04ImRzdQ6FQICUlRSQN8XzCFDZor1KvXj3xvV9++UWsGSj+oNPpcOrUKXz00Uf48ssv0bBhQ3To0AEhISH4+++/ZZ/XdF06zE9JScH69esRFhaGTp06oUuXLqhSpQo0Go3R9YAhrVq1QufOnbFnzx7ZWmDfvn2oVauW2bnBUNwIANu2bcOdO3eMxk1smRMDAgLQq1cvJCcn49SpU/j66695/mAKHYbCRioSyC1hI4Bsc4g0zqlQKODl5QU3Nzebmu6RuBEAdu7ciWfPnsmEaBkZGTh69Kj4/Xr16snubwypuHHhwoU4e/aseA907efPnyMsLAxhYWFISEjIsSEnzzFMQWb9+vX48ssvAWTOJ8nJyQAyJYm5QU5nPTTugCyxvHQO0Ov1SE5OxrFjxwAAM2bMEKLX3BRMEiRuBDJjLpGRkbKG4TqdDr/99huuXLkik7cZNgzn+YQpKEjHckhICBYtWgQgc05RKpV4++23Zc1npWfG3bt3B5BZ7EwxAul5MYkbibp164rPfWksdvTo0Th69Gi+xmIHDhwInU6HKVOmYOHChXBxcTG69pKe+UyePBkAsHv3bsTFxWVbn1DBKq9LGMZ2XF1d0aZNG5w9exYqlQoffPAB3nnnHQC2N7yiee/Zs2eyf9NcSAVV1kJzwG+//YajR49i8ODB8PPzM7nXIXGjQqHA4cOHZesRqbhx4MCBuHXrFiIiIow2vAoLC0O5cuVsem6GKQzQGHRzc8O7776LP//8E0WLFkWXLl3E3sDWmAtdOz4+HkBWMwdq6EDSWWuh+eCPP/7A3bt38cEHH8jWYVIMxY19+/ZFWlqaiC2RuDE9PR1TpkxBdHQ0wsPDszWqSUlJga+vLzZt2oRixYrZ9NwM46wolUqkpKTg8ePHOHv2LOLj43Hnzh3RgLJEiRJ45ZVX8Prrr1ssLa1VqxaCgoIwadIksU/JyMgQ8d1Lly5h0aJF+Pjjj82uCaxFmjfSs2dPnD17Fr/++qssH/bXX3/FvXv3UL16dauvT+JGADh+/DiSkpLEmTDtiRITE/mcmGFsRDqeOnXqJL4vbUJhKykpKYiOjhbN+ykOU7JkSXHGbCnSuMngwYMBAAcPHoSbmxsCAwPNCtBI3AgA69atQ3x8fLamVlQnwHMJU9hYu3YtFi9ejFWrVqFFixb5/Tg50qJFC1SrVg03btwQc5RKpcp1YSMhPUNu2rQpgMy/3W+//SZbl0h/j+cThrEeWn8ULVoUnTt3RoUKFVC3bl0x7uwVDyQmJsoEziqVClqtVsQerJ1DaI1y7tw5jBo1CtOnT0fnzp2N5p1Iv0fixsmTJyMqKspofv3o0aPh7e2N2NjYHGt2qlSpYvPfgmEKA8YacNoDjeGoqCjZ92kfQXJISzBsvKnX60WTYgD4/fffkZqaioyMDHTo0MHktaTixrlz5+LWrVtiLqP4DMVkeU3CMNZDY79Jkybo0qULrly5gv/9739C2OEIMRLFPEnemJGRIaQi1iJdn4SEhKBXr154++23TebFkrgRyMy5iYuLk8VNSNw4e/ZsJCYm4tmzZ1xTzBQq9u7di0WLFiE2NlZ2BkN7fwBiPU/jGMhce1y5cgX37t3DP//8g7Fjx+ZqQ/3y5cujW7du+Ouvv0Sskzh27Bi2b9+O7t2751vdIYkbASA0NFT8LRUKBc8jDGMjvXv3xvvvv4/SpUsDyF6XYwtxcXEAsqRNtEexJd+EnufChQsYNGgQgMyc1+nTp8Pd3d3oa6TixqFDh0Kv1+Pw4cN49uyZLOaq1Wrx888/A+CcWIbJK8z1ZgOyYi/0vyqVCs+ePcPu3buhUCjQq1cvBAQE5PqzGoobgcw1XWRkpJib6Fznl19+QUpKCu7cuYOoqCijObGhoaFCjs0wBQVjMQJpfIN+Ju1ZaG4vQWcvvr6+GDRoELp27YodO3bgn3/+weXLl6FQKJCcnIxKlSqhfPnyaN68OY4dOybywYi6deuicuXKNr83mgOqVq2Kdu3aYffu3eI8iOoI//77b7Rv396q/RGJGz///HPZvot7JzGMeaQ553369AEALFiwAOnp6dlq/9LS0nDmzBkAwLBhw1C7dm1ZbNNQ2Cit/5PuifKyF1vLli3x9ddf59jX0VDcCAD79u1DfHx8trXJiRMncO7cOaSkpHAMlilUSNcaJFTs0aMH+vbta/W6gMSNQGZclMRrUnEhiRv1er0YlyNHjsRPP/2Ur3OK9NyY5oHExEQMGTIEq1atylEmL50n69SpI75/9OhRWV4bAD43Zgol9Jnq7u4u+qFS/0LpOkSn0wlxIwAMHjxYCGDNxV0d3Xtaun7q378/gMz58cmTJ9n2aVJx47Rp0/Daa69Z/LchcSMAfPfdd9n61CmVShw/fhwDBgzAnTt3uJ6YKRTQGHv06BFOnTqF7t2751hHC2TlvBo6LvR6PTw8PODl5SXkqACQkJCAyMhIXLlyBVFRUTh16hSePXsmhPDkrqBYg0qlkkkaDfvj6/V6REdHY926ddDpdAgKCjL5vAzDMAzzosDSRoZhGKZQExYWhkqVKqFRo0Z5Im6k6wCmhY3p6elQq9WYNm0a6tevLwswSwNdfn5+eOONNwBAJA7+999/iI6Oxu+//45r164hIiIC165dA5CVpAhASBCkxdrS5KQVK1aYFQ+YEzdqNBqkpaVxoJxhcsAR4kZqMAdkD5pLi7Dy6hBuwIABAIA9e/bAzc0NM2bMcIi4MTU1lRvUMIwZpOLGzZs3IzAwUIgbAfnnOYkb9Xo9OnfuDE9PT1mSUH7PJXRop1arcfPmTSxbtgxKpRJt27bNMSBvibiR/g6UXMRzCcPkjFqthpubG2JiYmSHdHFxcVi9ejXmzZsnkxbkBzSvlS1bVjwfHcBrtVpEREQgMjLSJmkjYFrcKE2O4rUJUxihz11z4kbi559/xrhx47BgwQLUr18flStXRlRUFL755htcunQJMTExYq2v0+lE04WMjAwkJCQgNDQUZ8+eRfXq1TF27FiULl06W+KAMd58803s27dP/B6Q2Sj4yZMn8PPzM3vYbyhuVCqV2LBhAyIjIy2Km1hC2bJlMWjQIIwcOZKbgTOFDkNho1arhUKhyFVhI5A5ZuPj4/HXX39l+75er0dAQIBVTa0MyS9xY0JCAgBwoRVTKLlx4wZWrFgBQJ4MqFAocmXfYkkBOH1Nc5e0ec6LIG5MS0vjeCxT4JGOZcN1ye+//45vv/0WCoUCjRs3dqi4UafT5VgMkV/nOrTvOXz4MLRaLRYvXgyNRmORuFGhUGDXrl0ycaMUnkcYxj7KlCmDTz/9FPHx8eJ82J41A8170jMTaWGFLdc1LAJ3c3ODQqHA4MGD4evra1bc+NlnnwGAUXGjQqHA6dOnAXDDK4ZxBPXq1cOkSZPg4eGBGjVqALCvuS/NGbQPohgsidtsua60uW9QUBC8vb2hUCjQsWNHh4gbFy5cCCBzz0brK5pTNm/ezHMKU+B4+vQp/v77b6xZswYRERF4+PCh0d8rUqQIKlSogK5du6JevXp46aWXcrwmfUa///77uHfvHlasWJGtaXBKSgp+/vlneHt7Y8SIEWbXBNZC84CPjw+qVauGX3/9VcwFNN7/+OMPVK9e3aa1U07iRunZl/RevNdhGOswtkZwxPyQmpoqzkqkOR1eXl4ALN/vGGtK4+bmhpSUFGzfvh0qlQoffvihWTGsKXEjodfrOW7CFCo2bdqExYsXAwCmTJmChQsX5tjcKT/RarVwd3fHjh070Lt3b1y9ehXu7u5ITk7OE2EjYU7cKF2fsByJYeynefPmqFWrlsgXcYRUOiEhAYmJibLPfwAiR8wWYeP58+cRFBQEnU6HBQsWwMXFBe+9955McE9YK26MjY3lnBOGcSJonxQREQEAIt+EzptLlChh0XVyaryp1Wqh1+vh6uqK1NRUXLt2zeJrmhI38vzBMPYh/UwfPHgwIiMjhVDREeuTxMREcS36D8iUWFuLsTpAlUoFlUqFhg0b2i1ufPjwoYid8PqEKSyEhYVhzpw54t/SPiBA5riTSomkcQFCq9XCy8srR0GZI6Cx3aZNGxw+fBjnzp0Tz0Bj//z582jXrp2Iz+YHxsSNAHgeYRgb8fDwgIeHBwD71yU0j6SkpACAEBtR7jr1TrGUnPoT7Ny5ExkZGfjkk08sEjcOGzYMALKJG6V9X3hdwjC5j6l6Hao9pHFIY5j2DSqVCnFxcdi1axcUCgV69uzpdOLGS5cuAeCcWKZwQQLFtLQ0nDt3Ds+ePcPdu3eh0Wjg4eGB8uXLo0aNGvDw8ICfn58s393UWQqtRzQaDUqUKIGRI0cCAGJiYqDRaJCYmAhvb2+4ubkhKSkJe/bsEbERhUIBf39/fPjhhwDs6xNANb5vvPEGdu3aJcvLz8jIEKJqazEmbqT1CcG9kxjGOI4QN6alpYl6QmP1f3ktV6O+jsePH8fEiROxaNEih4gbuY6YKWwY1hRTfcnOnTuhVqvRq1cvm8SNlHduStwYHBwMtVqNe/fu4aeffhLzSH4LG2lvJY1/SHPmjWGJuJHqq3lOYQoj9DlbpEgRh4sbHS1sJJxF3KhQKHD27FkAHDthCj40tu7evYvu3btDoVAgNTUVgYGBFosQ6fPb8LOc4geenp7w9PRElSpVAACBgYHQaDS4cuUKHjx4gCtXruCPP/5AXFwcbt26JYs70HwlPZem54qKikJwcDAAsLiRYRiGKRCwtJFhGIYptGzevBnz5s2DSqVCcHAw6tevn+viRtp45tTEVypsXLVqFZo0aSLuTdc3FuiSbl6rVq2KqlWrokGDBgAyiyhu376Np0+f4scff8TTp09x8eJFpKamigN+es9SYWObNm0AmE8oyEnceP/+faSlpcHb25sDWwxjAnvFjZR0bChZsydobg3GDuE0Gg3S09MRGhoKpVKJadOm5ZgEZYm4ke4DgBOFGMYM1DTBxcUlm7hReiAFZIobw8PDkZGRIQ7InCFJSHqgT4Xljx49wvz586HVatGhQ4ccr2NO3Ggoqua5hGGMo9frUbRoUbRs2VJ8nmu1WvF5fPPmTTx+/Bjly5fP10Myms8aNGiAUqVKISoqSlbkSZIWe8hJ3EjFVpx0yBQ0pJ+XgOnmmNaIG6nB/uTJk/Hll1/C398f/v7+WL58OX766SdcuHABmzZtEp/90maVtGe6efMmbt68ifPnz+P9999H8+bN0aBBA1kBuuF81K1bNxw5cgSnTp0SMZWoqCgsWrQIX3/9NVxdXc3+TaTixh49eiA9PR2vvPIKGjduLPub2UOZMmXsej3DvIgYEzbS17kpbCQRQWxsLJ4+fQogq1EFFXqXK1dOiNZsXefktbjRMAma1yhMYcPV1RUajQYpKSmiAFGpVMLNzc3hjWesETaq1Wrs27cPZ8+exdy5c18YcSPB8gGmIGNK2EjNrf78808sWLAA06dPl53ZAraLG7VaLd566y0AzheLpcLTo0ePYuTIkfj6669zFN9Kz7YmTZoEAEbFjSweYBjHUKpUKZQqVQqAYxpxAkBSUhIAeUGGXq+Hu7u7VbEOY0XgKSkp2L9/P3Q6HYYOHWqXuFEKF4EzjH3Q2Kpfv774nr1zCq0HKMYibRDq5+dndYNf6ZwycOBA6HQ6JCQkYMWKFdDpdOjUqZNN4katViv2ivS+DYWNPKcwBZGTJ0/iu+++w08//YTExEQRR5TuWSgmmpaWhr///huLFi2Ch4cHpk2bhhYtWhiNq0ibhvfr1w+RkZHYvn07tFqtiC0oFArExcXh8OHDcHFxwZAhQ+Dj4+NQcSM9f69evXD48GHEx8eLJpkAcPXqVQC2SamBnMWNBM8hDON8UDNfmosot4PmMkviKznFTVJTU8V51pYtW5Camopp06bB09PT5PXMiRt5LmEKE5s3bxZxWHd3dzx//lzU2TibuJHGu5ubG0JDQ9G/f39cvnwZ/v7+CAkJyRNhI2FO3ChttMfzCcPYDwkbAcdIpek6NJZpDZDT+UtO5FSzExsbi1mzZkGpVKJ9+/ZG9z+WihsJnlMYxvmgMx2K41Bcx5LzY3ONN2m/AwDLly+X5QKbw5i4kYT3PH8wjH1Ia+CkwkZHrE+kZzmUw0bXtwZjYiQgsxkvncm89dZbJp/ZlLhReo7N58RMYWHLli1C2CjNJ5PmoSkUCmg0Gmi1WrGOpz0H7QdatWqFoUOHwtXV1aHnMlLomn5+fqhbty7OnTuXrQn5wYMH0bp1a7Rr187h97cGEjcqlUqEhITA3d2d5xGGcQD2zi1UV/PgwYNs1y1SpIjFQnm6lrF9D81Je/bsQVpaGubMmYMiRYoYvYY5caP093hdwjC5i7X1Ot27d8e2bdtktTpScSMApxI3sgSWKYxER0fj9u3b+OabbxAZGYmbN28a/T13d3dUqFABrVu3Rr169dCgQQOrzmOl/RH8/PwAQAinAeD777/HqVOnAMjHK/2OPesbuneDBg3g7u6O9PR0ZGRkiFz4J0+e2Lw/MyZu5Bw2hrEMe8WNdKbrTH0dKS/+4MGDUKlUWLBgQY5zpSXiRroP73WYwoSxmmJXV1ekpqYiNDQUAGwSN1aqVAkjRowAYFrcuHbtWgBwqppiIGtNAQArV65Ey5YtzV7TnLgxIyOD5xSmUJMb4kZTwkaKuQK2zyfOIG6UwrETpiAjFTb27t0bcXFxUCgUCA8Ph06nQ79+/WwWIUrzQgxxcXGBQqHA66+/jpo1a4qeQwkJCbhy5QqePXuGU6dO4cmTJ/jvv/8QExMj1gjSfpM6nQ5Pnz5lcSPDMAxTYOBPL4ZhGKZQsmnTJsybNw9AZiBm6NChOH/+vExMkBPS5nDdunVDYGAgXnrpJQBZh09AVmMrEjdevXoVKpUKBw8elCUFUQGCNClo48aNaNKkiexZTG06SRwihZ7Rw8MDr732Glq0aIF58+ZhzZo12L17N0JCQjB8+HC0adMGlSpVEq9bvny5xcJGQvp3a9WqFSZOnIiiRYvC29sboaGhHNhiGDNQUB0AxowZg+HDh2ebjwzFjV9//bVIRB41ahSOHj3q0KC5JZg7hHNxcUFISAhmzZpl8jqG4sZ33nlHNMqheUg6T3LQnGFMYyhurF27tki8o+Z5NK5u376NHTt2IDw8HMOGDXOqJuEkiNNoNEhLS0NkZCR8fHzMXs9Q3Fi2bFnZGo3nEoYxD42XChUqAICskS0AXLt2TRQr5PfhmE6nE4nL9Jz0H5AlprcHEjc2b95cFLyqVCo+0GcKHNIYADVkIYlaThiKGwcPHoy3334bQOb6QTpHKBQKnDlzBpMnT0ZMTIz4fqtWrTB16lSsXbsWnTt3RrFixWSNZei1lOwbFRWFzZs3Y8iQIVi2bBl+/fVXANnnI9pj9enTB/7+/tDpdOKZbt26hUuXLgFAtoQdY9CexdXVFQMHDnSosJFhCiMbN27MJmykcZ6eno5ixYrlirARgJBRL1u2DDExMeLaNOcplUp07NgRLi4udq9zSNzYtWtXIWKjPRnd9+jRowgLCxMiJ3NzilTc2LBhQyFp5EIrprBjuBegAubk5GTRXM4RmCoAN3bWExwcjCpVqqBPnz4YO3aseFapYJ7EjXPnzpUJXvMCEjcOHToUJUuWFGsljscyBR1TwkYqjKbCykePHuX4/33peO3evTumTZsGNzc3o+fFJG7cuHEj/vjjD4wdO9apYrEUP6HnOXXqFP7++2+T16KzLYVCgUmTJqFLly7w9vYW9+F5hGFyB3vjEBRrefjwofg3zYu+vr4oUaKETcLG/v37i/lToVAgKioK33//PVasWIGYmBiz1yRxY7t27WT7HGlsiPc6DGMfOTXttwd6fXR0NICsOUav18PDw8OsxEiK4ZySkZEBjUaD9PR0PHjwAKtXrzZ7NmUobqTX01qK5xSmMLF3717MmDEDBw8eRGJiItRqtRgD0oZQdA5EMYG0tDRERUVh/PjxWL9+vZCyGkLj0NPTE3369EGrVq1k16HYQlRUFL777jsEBwcjNjbWovxcS6E5iOYaw3hKbGys3fcgcWOLFi1QpEgRbk7DME7O06dPERsbK/vMB4CyZcsCMJ/fYipuYngu3Lx5c4vXOiRuHDRoELy8vESMmOcSpjARHBwsanfUajWSk5PF/44bNw4nTpzI3wc0Ap1ju7u7Izg4GA0aNMCGDRvyVNhISNdQTZs2xeDBg/Hmm2+KGK2rqyvPJwzjpDx9+hQpKSlij0RzhyPEA9RMNCUlBRMmTMC+fftyvIZ0HiFxI+XTSYVIfLbDMM4FxW3oTAfIim16enqKxuM5YU7YKG28uWLFCrzzzjsArBO3ScWN1apVQ0pKCnx8fHj+YBgHYHiG46hz4kePHsm+p1QqoVKp4O/vb/G1cppfpDkna9asEU3OTUHixmnTpsHb21vETaRwDIUpDBw+fBhffPEFAIizTapfK1++PBo3boyFCxdi7dq12LBhA9avX48RI0agbt26sjOft956CzNmzBDNfHOz1oXmleHDh+P1118X9TtSufTChQtx/fr1XHsGSylZsiQGDBiAgQMHYtu2bTyPMIwTQJ/38fHxALJqALVaLbRabY5yRUNM7XsyMjLg5uYGIFMke/v2bZPXMhQ3tm/fHr6+vrI9Eq9LGCZ3sVbYGBISgk8++QTjxo2DSqUS+wmq24uNjcWuXbuwZcuWbJLY3MJQ3NipUyeULFkSALKtz3hOYQoDv/zyCxYsWIDhw4fjzJkzuH37tjgvUavVor7OxcUFycnJuH79OlauXImPPvoIAwYMwNmzZxEZGQnAfNxSet4h/R79++bNm1AqlbLanLJly8LT09NsLwVzSMX27u7uYm1DSPsl2AKJG1977TWo1WrOYWMYK5DW/vXp0wdTpkyBi4uL0do/EjeuWrVKxDNGjx7tVH0dab7SaDTYv38/PvroI5PXMRQ3fvDBB/Dy8pLdg+cTpjCyZ88eUVPs4uKCtLQ0MX5DQ0MRHh6OW7duWX3dihUrYvjw4WjZsqXJGC31G3GWmmLp1ytWrEDr1q0BWHZuLM1HqVOnDvr27Yt27doByJRy85zCFHYMxY3Uv9BwHQJAiBvXrl0rxK/SGhlTwkZpjzd75xPpffv374+goCCR62aYayYVN/71119W/W1I3Pjee+/J3oM0PsRrFKagQp/N9+7dQ69evRAVFQWNRgO9Xo87d+5g69at2LRpk0yQ6ChorqBxRjEMT09PNGzYEO3bt8e8efOwfv16hIeHY8OGDXjjjTfg4uIiqx2m65C4ccOGDeL6edUviWEYhmEcCUsbGYZhmEKHYfNNKvgeNWoUTp8+bVECsi3ixkmTJmHNmjWYMGECAHmAmoJBarUamzZtEknS9iRDGzaXkB7eV6xYEXXr1sVHH32EFStWYPPmzdi2bRu2bNkiK7Cy5v7SoDkJInfs2IFq1arZ/B4YpjBhrbjx5MmTWLp0Kfr37+9UjX1JriIt3iShiSnMiRu5+JthrMOUuFF6KKVQKHDz5k0sWrQIJ06ckM0f+T2XAFlJDUDmgb4l8wmQs7iR5hJvb2+eSxjGAt555x3Zel5aOBkWFoaff/45vx5NQPMGyRQIStC2tEDLHIbiRpVKxWsTpkAhjQF8++23aNmyJZ49eybWFKawVtx4+vRpTJo0SYgbad/QpEkTTJs2DSEhIWjVqhXKlSsnrkGvlSbYpKamYtWqVZg2bRqmTp2KyMhIJCcni/dDe6RXX30VAQEBACCKrh49eoQjR44AsFw+a5hwYPg1wzCWsWfPHtFUwsXFRYh+gKy1xtixY4WwMTfG2alTp0TCHzW0oMKCmjVrokqVKg67lyXixu+//x4bN27Es2fPLLqmKXEjx0+YwgrFO6RzBhUsOEoEYEkBuOFZT7169URcY9iwYRg3bhwA0+LGmJiYfBE3Dhs2TCZu5CRmpqBiStgojUmmpqaiWLFi2L9/P0qXLp3jmLRW3Hj69GmMGjUK33//vdOc6xjOYQCwcuVK1KpVy+w1TYkb6T3zPMIwzgXNTbRGoe+RbMBWYSPNKWlpaSI2+/jxY3z33XeIioqy6JrGxI30TLw2YRjnRBpblX5NQjipGM4U5uQDKpUKt2/fxvLlyxEREWH2mUyJGwEu2mQKPqGhofj444/x5MkT8RlP+33ah6hUKvE5S9+Tfv66u7sjKSlJrO9N8dJLL+HDDz/Em2++CUB+rqNQKPDkyRNRPP7s2TMRH3UUZcqUQcWKFbOtZajhnmETLGsxJm7kvBOGcU7S0tKg1WpFXJjGPzWaMnUubEkOmzRuQrn2lmJM3MjrEaawEBUVhXPnzsm+R81aXhRxY5EiRbBp0ya89NJLRgUieUFO4kZXV1ekpqby2oRhnJTo6GgA2RvZFStWzKLXmzvbof2eXq8Xa56csETcyDEThnEuaM0RGxsLAGK8a7VaKBQKkyJ5a4WNbdq0AWB9PTGQJW6cOHEiXn/9dWzcuJHnD4ZxQmhsP336FEBW3DQjIwMajQa+vr4WXcecGMnV1RVarRZnzpyxuJbHlLiR1ydMYeDq1avYtGkTUlNTRa0MxTibN2+OuXPnYtmyZXjvvffw9ttvo06dOnjrrbcwZswYhIaGYvr06WjQoAECAgKwaNEiFC1aNFsdT24gzTUZMGAA/Pz8xPkP3f/Zs2c4ePCgkLLlJ6VLl8b48eNFPxiGYfIXilHQfkfa6NvNzU3IFk1h6myH9j0pKSkAMvc9NWrUMHtNqbhx6NChaNeunRA38rqEYXIXU/U6hme2arUaGzduFHkq3bp1w4QJE14ocSPX/zGFgV27dmH69Ok4dOgQ4uPjoVarxRogIyND/CeNeVKeZ3x8PM6ePYvJkyfjk08+wfnz52VxS2trBVNSUnDx4kWR10qvp3x6R9TsZGRkIDExUZarRvsyf39/u/dohuJGhULBOWwMYyHWihvPnTuHZcuWITAwUCZszO9ebNL6P5q/OnToYPZ65sSNvC5hCiOlSpVCmTJlRO8wIHNcO0LcWKlSpRzFjVLRkXQ9k5GRgaZNm+Zbf0d7z40NxY3du3dH586dsWPHDp5TGAaOETdK54XRo0dnEzY6Wipti7hxwYIF+PPPP626jzFxI70XXqMwBRmlUonHjx+ja9euiI6OltXRAsh1caMUUznxpUuXRr169fDJJ5+gZs2astgOixsZhmGYggZLGxmGYZhChWHzzYyMDGi1Wri7uyM+Ph4zZsxAamqqRdeyVtx469YtLFmyBIDpJr516tSRNed0FNQEh74Gsgor/Pz8ULNmTbzxxhvimW1piC4Nmjdr1gzly5d3xKMzTKHBWnHjDz/8gHPnzon5Ir8b++Z0CGdpg5qcxI2UKMCJQgxjHabEjdQEj9YHKSkp4rNfKg/JryQhQ/mr4YG+JRiKGytUqCDmkrCwMJ5LGMYCfH19hTSNmlxSI/7k5GR8//33iIyMzNdnVKlU0Gg0cHFxkTUUpYRHUw0prIXEja1bt+a1CVOgkMYAQkJC8NVXXyEqKgp9+/ZFbGxsrosbpfsHDw8PVKlSBUuWLMHnn3+OHj16QKPRiL2CSqUSRei0Jrl37x727NmD/v3748svv8S1a9dkMY3ixYtj9OjRouiKXrdt2zYcO3bMcX9IhmEsonr16ihTpoysCZQ0sVin02HLli04ceIEVCqVaD7hKGJiYrBnzx7cuXNHfE+pVIpiq5YtW6Js2bIOux9gXNxIgjmiS5cuFje9AYyLG1mMxBRm1Gq1TNJIRcxeXl7w8PBwyD2sFTbSWY9GoxFnSUOHDjUrbpw3b54QN9orFbAUHx8ftGvXDsOGDUOpUqWQkZHBhZtMgcSUsJHiHTSWfX19ERYWJkTSps5trRU3RkVFiTVQfp/r0HrM8FyndevW4rnNYUzcWKxYMWi1Wl6XMIwTQuM6KSkJgDyPxN3dHQDMxoHMnRVLi1bnzJljVcM7Y+JGV1dX3uswjBOTlJQkmugBWXsnf39/Ec81hak5Ra/Xi7guAMyYMQOlS5c2+0w5iRtdXFy4iR5T4Nm6dSvmzp0LIEvMKJWX0XiS7lXo5xSn0Ol0aNOmDUaMGAGNRmNyHNPPmjRpgu7du+PVV18FALFHorVGZGQk9u3bh2+//VbEPRxRgEn3NyaCdHFxkb1XeyBxY6tWrQBkrps474RhnI/nz5+L+QzIKiD38fEBkHOcw1yjK3viJlJI3DhkyBAAmTEpXo8whQF/f3+MGDFCNIqTyjeo2ZWzixtN/TsvMRQ3Dh06FJUrV4aPjw9CQ0N5PmEYJ4T2KdKzIMCydYQ1wrWVK1eiZcuWZq9pStzIja4YxvmgmAZJRgzJqWlWXgobCbVajcaNG2PTpk2oXr26TddgGCZ3oTVAcnIyAMjy1gDL4qjmxEguLi6iP8OyZctQu3Zti5/PmLjRzc2N1ydMgYb2C2fPnsU///wDIOu8Q6/X47333sOSJUtQv359eHp6ZttH0P4iMDAQ8+fPx759++Dn5ydraJvb0H1q166NypUry74HZK5jDh06hKtXr8qeOb/Iq78LwzDmoTnw4cOH4nsKhQIqlQrFihVDsWLFzL7enMTE1v4EUnHjsGHD0K5dOxQvXpxz6xkmFzEnbJSOcarXqVu3rlhbeHt7o2vXrhg/fjyUSqXTixu5/o8pDJBgPjIyUoxJqsuh8U7rc4VCIeubJu1X8PTpU/z888/o168f1q9fj9u3b4vXWJt7RmsD6XqApGeOQKVSIT4+HklJSaJemp6R5Cb2QuLGWrVqISMjA56enpzDxjAWYo24MTU1FSdPnsTFixdl81N+9mKj3F/DvU7btm0tum5O4kbu68gUVho2bIgFCxYgICAAQNb6wJHixhEjRmQTN0r7QEt7Qbdo0QJr1qwB8OIJGwlpPkqDBg0wa9YsnlMYRoK94kaaF0aNGiWTSudmjwJrxI16vR4XL17EnDlzEB8fb1WOvTFxI9cTM4UBnU4nZOrSvNL8EDcaQs9A//vKK69gxowZqF27NosbGYZhmAILSxsZhmGYQoOx5ptAZsA4OTkZxYsXx7p16+Dq6mrxNa0RNwJZQXLDYHVuCxtzIqfkYnsa1TiiyQ3DFGYsFTdKpUlSMRGQfwf7jpCsScWNM2bMQLt27aDVajlRiGFsxJS4keQn0v+k65eMjAw0bdrUKZqE23qgLxU3zps3Dy+99BI3p2EYC9Hr9dBoNBg0aBCKFi0q9jDSdcjhw4dx9uxZAMi3wzG9Xo9bt27h8ePHYr1Ba6LixYujSJEiDhU9+fr64rPPPkP79u2xadMmnk+YAoFU2Dh//nwAmc1mb9y4gZ49e1olbgRgs7iR9jfUjL9u3br49NNP8dVXX6FPnz7QaDRi3wFkzUdUlHn79m2Eh4ejV69eWL16NS5cuCDuV7NmTbRp00ZcX6lUQqVS4cKFC0LwxDBM3vDKK6/g22+/RZkyZWRjkoqrdDodrl+/jiVLluDkyZMAkC0uYi3SMb5mzRocOXIEAGRNyAGgRYsWolGuo+cFQ3EjCdGAzOZ5tOexBqm48e233+YicKZQYyxeQDFTR47nY8eOGRU2mjvrkZ4lWSJu/OKLLxAdHZ2nDWJI3Dh8+HC4ublBpVJxPJYpUJgSNhoWLvr6+mLLli1C2GjJWDQUN06fPt2ouBGQy1GcIRbriKachuLGd955B2XLluV5hGGcEIVCgaSkJERERACAOB8CMhtCeHp6mpx/rJGZrFy5UhSBW7OnMxQ3pqSkwMfHh/c6DOOkxMfHIzo6WjQPpfFevHhxAKYbX5rLPzGcU6zJP8lJ3MhFm0xB5vDhw+Kchz7PaWyWLVsWjRs3xqJFi7B69Wrs3LkTwcHBGDJkCOrVqwcgcx+i0+nQoEEDzJgxQ9YkIicodqtQKPDBBx+gR48eqFatmrg3/Y5CoUBUVBT279+PRYsW4enTpw4pwNTr9UhMTER0dLQs9wUAypYtCwAOy8WtWrUq/o+98w6v8X7/+OuM7BAJRW1dRkspvlaL+qlZWlWKCKoIamtLlS6rRgVVo6okkVBae9OWltIa1WVvajU22Tnn94fr8+R5Tk52ThJ6v67LJU7OeZ7PcV2f+7k/93q/8cYbtGvXjm+++UZsiCDkQy5duqT5EfqhNsWLFwec17fntphJsWLFaN26NSNGjGDVqlViS4QHHvVcfvrpp+nWrRstWrQAjPFP9XN+Fm7MT+hz588++yzvvPMO33zzjeaDCYKQP1D79PLly4bXTSYTHh4emqh0aqQniOToo2RGVNqZcGPx4sVlGKcg5ENUHjsqKgpIjrFYrVaKFCmCn59fis9k1n7khGCjwmq14u3tna1rCILgOlS/shIoUf6AxWKhUKFC+Pv7p/n5tGIoznqKs5In1gs3FilShJiYGPz9/cU/ER5YzGYz//zzDwsXLiQmJkYTFrLb7TRq1IixY8canq2Oz2qLxaLtsYcffhgfHx/sdnueCBOWKFGC/v37A2i9y2ot//zzD5MmTSI2NtYwP0EQhP82ylbpe5bVv/XCTc7IjdyOXrixb9++PPvss5QpU4bw8HDxSwTBBai9uW7duhSCjepnZ/06er+nYMGCtG/fnmHDhqUr3KgXjHUlzoQbS5YsSWJiotSvCQ80y5YtY+zYscC9mKH+rKOfNVCoUCGsVqs2B1Jf9wXJz26VV548eTIhISFs2bIFuLfHMnK+sNvtREdHExMTk8LPOHbsGIcPH872d1brOHPmjBYnUbMPILmOLSdmnjz99NMMGTKEevXqsWTJErEjgpAJMircqOYO5Le5jmnNYssIjsKNr7zyComJiRQoUEBmsQn/KdSeqVWrFmPGjKFs2bKG13NKuLFcuXL07dvXqXCjo9/z6KOPaj/n1BznzOZ1ciJvrK9H8fT0zJHvIQgPElkRbpwzZ462r/r378/WrVtTCDaqWZCu8FEyItyon+0fHBxMgQIFMm1HHIUbpZ9YeNCx2WyUKFGC0NBQKleunKotyEvhRj12u51KlSrx3nvviXCjIAiC8MCSMxE+QRAEQcjnpDZ8UwWP/f39CQ8Pz9TwTYU6BJrNZtq3bw9AeHg4R48e1V7XB6DVwVIFq61WKwsXLsx1wUZBEHIW/T7XD9vOSgJKBdUtFgsDBw4EYPbs2U5tCSQ3XkLeDfYFckxkTdnVAgUKMHz4cNzd3QkKCjIkFgVByDiOwo1BQUEcOHAAq9VqCGTrE/o2m4369evzxRdfALlXJKTWm5MJffW9atasybJlyzIl0C0I/2XUfitTpgz16tVj06ZNWCwWbVin1WolNjaWsWPHUqFCBSpVqpQn5xmTycTFixeJjY1N8bvq1atToECBHL9nQEAAU6ZMkbOb8EDx1VdfMWnSJABtf1utVk6dOkWnTp2IjIzE398/Qz6BSqSrIb8AO3bs0M44+iG9Srhx8uTJBAQEGGIyyqY0btyYxo0b8/LLLzNv3jwOHjzI6dOnNb9FnR9UA0NsbCzTp0+nePHivPDCC/To0YNixYrRsmVLNm7cqDV/JyUlsWzZMtq1ayfD6wQhl3niiSeYMWMGAwcO5OzZs4YYqtrTx48fZ8qUKQA0aNAgyzEWvX8yffp0Fi5cCGBo5gJ45JFHaNeuHWAsCMpJlHCj2WwmNDSU2NhYZs6caRiel9nvp4QbBw0ahIeHBwMGDJCiQ+E/iWoQ0DdyJiYmEhsbS3x8fI7cIyEhgYsXL+Ln58fNmzcNhcRpCTYq9Lmk4OBgAEJCQjT/ShUjx8fHs3r1agoVKsS7776bYw0WGaFQoUK88MILWCwWatSoQfny5XPt3oLgSlwt2KhwljMeN24csbGxmq/juCYVi23cuDGzZs0C7j/BRoWywWazmffff5+rV69SpEiRHPkegiDkLGogDRj3e3r5k8zalOycdQoUKMCYMWO4c+cOP/30kzSBC0I+JiEhATc3N4OIs91ux93dHSBVnyo9m+JYf5IVm6IXbly0aBEdOnQAYPHixVJ/Ijxw/P3334SGhhIfH6/FJFSM5Pnnn6dbt25UrVo1xeD8WrVqERUVxYEDBxgzZgyFCxdm6tSpFCxYMMNnIn3s9tVXXyUuLo6IiAhOnz5taAQHuH79Ohs2bODmzZuMHj2a4sWLZ/rspVBx3KSkJIP9Ua8FBARo78up+ErFihX54IMPNBsnCEL+wjH2omKuqcVZcluwUVG8eHGCgoLyZHi6IOQ2+r1StWpVXn/9deCe2LSKgyYmJqYQbgwJCaFRo0Z5tOr8j97/qlu3bl4vRxAEJyj7d+XKFSD5fGa32/Hy8tLOK87ITeEBk8lEvXr1+Oijj5gwYQKfffaZxGGF/yQ5Vf/uuA+zm/dVa1J7XtkRFQdxvHZ2hvnmZm2KIAh5g7IZt27dApL9E2VT0hqem5uCsEq4MT4+njlz5jBr1izxT4QHEtVT88033xAVFWWoay9VqhRBQUF4enqmu48cf5dXz3S73U6dOnUYOHAgM2bM0MQMVG3vwYMHeeeddwgJCTHUmAmC8N8mKSlJq8F3rDdRfkpGzz2uyO2o9Tz00EMMGzZM+1kQHnTyKk5w9OhRxowZAxh7/lITbHTmSyjhRoBPP/3U0KujhBtXrVrF3bt36du3L8WKFXP593IUboyOjubnn39m2rRpctYRHkg2btzIxIkTAbQB/ioG8cgjj1CmTBlee+01fHx8KFu2LP/++y+xsbHs27ePAwcO8NNPP2nxTLV/lU+QmJjI5s2bOXXqFOfPn+f11183zGdLDZPJRIECBShUqBCnT582vJ6QkMD58+epWLFits4p6v5r167V4iVwL0ZcvHhxnnvuOe2eOUHNmjWZPXu2zE4S/jPo96c+95IVv0Xf+9elSxcAJk6cSEJCghbL0Pf8QfLZwGaz5bpgY2p19Vk96+iFG9966y3c3Nxo27at1NUL/yn0e+Z///sfY8aMYfTo0Zr4shI/U/7HokWLAOjcuTOPPPJIpu5Vvnx5+vXrB8D333/PnTt3NHumtzFffvklSUlJDB8+PEP+TXrkZl7HEck7C0LaOAo3Dh06lG3bthn8EOWvXL58mbVr1+Lm5sahQ4e094HRP3KlqDQY/afu3bsD9+bUXblyBbPZrNkT/eykrKCEG+/cucO2bdukn1h4oFH7qlSpUkyfPp1BgwZx8OBBp7ZACTcCdOvWzbAncwt1JlLCjePGjePAgQOab6FfrxJuBOjRo0eerFcQBEEQsoI8qQRBEIQHnowINmZ1+KZCHQIB2rdvT1BQEE888QSANrhXPwwCkoNZK1eupGbNmloBsiAI9wdqz+sTXwqr1ar9W/3t+P70UEF1gIEDB9K3b98UyXz1R72WlJREzZo1NZE1VXyYE+SWYKNCDdDy8/Pjgw8+kMS+IGQTR+HGatWqkZiYqA3HcxSC9fLyonHjxtprOTUkKq8awdVnZXCeIGSeIkWK0KZNG030RPk56uc7d+4wYMAAzp49azgX5QZJSUnYbDZ++uknINkHUzZL+Q8Z9b8yg5zdhAeJ48ePExERAaCJOuubG0+dOkXnzp25ceOGIa6SGvpEeq1atejVqxf169cHSBH70As3Xrt2zXAO0r/PZrNRqVIlPvroI2bOnEmbNm204VX6WI5eGPLChQuEhobSp08fJk6cSK1atXjllVe091mtVu7evcucOXO4c+dODv1vCoKQUSpUqMCMGTMoU6YMJpPJEEN1FG788ccfAZzGWNNCX7QzZ84cZs+eDaQUbPT29ub555/XbJUri4FLlChB+/bt6dSpE3Pnzs2WiInCZDLx1FNPERISQsWKFXNyuYJw36AaOdXeVucCb2/vHGtAdHNzo1WrVgwbNoyHH36YpKQk3N3dM9wADsZcUnBwMEOGDAHu5YssFotmn0qVKkVwcHCeNCcEBATwyiuviGCj8MCQlmCjGvLiypzxe++9h6enp+br6HNHqmg6ICCAN954A0hd1Cgr5IXwgPr+JpNJBBsFIZ9it9u5efMmt2/fxmQyYTabNd/F398fQIvN6MkLm+Lr60tISAjbtm2TBitByMdERUURExOj+TrKpqQ1qC69+pOctCnKP6latSrLli1j3bp1Un8iPFCo88eOHTs4fPgwgDYswm6306pVK0JCQqhTpw7e3t6GXK76uXDhwjRp0oTQ0FAWLlxIQEBAps8mKsZrNpsJDAykY8eO2l5TZwT1vpiYGL777jv69evHuXPnsnwGUtdcvXo1Fy5cMIhDenp60qBBgyxdNz2k7kQQ8i/Kf9DHYMD5vs0rwUaFCDYK/zVUXlYJN7Zo0QIwDodxFG7ctm1bXi33vkAGXAnC/YHyJ/TnlbTqbPNCeACgYcOGLF++nMcffzxL31MQ7mdUTw3AxYsXs3wd/T48cOAAkJyTzipqXW5uboY6FLvdTnx8PAkJCZo9EcFGQRDSQz33o6OjAVLETlKLVaRlXyBnczoKT09PWrduzcqVK6lQoUKWriEI+R1Vq/H3338DaHVscK/WvEqVKkD2z/9q7+vr713RY6fW+dxzz1G9enXDvZQd+emnn5g+fbr2b1esQxCE+4s7d+5w7do17dyi7ELRokUzLVTvqtyOip8UKVJEBBuFB54rV64AKecj5RYlSpSgXbt2lCpVisTERGw2W6b7dSBZuHHYsGGYzWatV0ddLyoqij///BNfX99c+2564cZBgwYRFhYmsVjhgeTYsWMsXryYO3fuGATO7HY7jRs3Zvz48UyZMoXnn3+e//3vfxQrVoynnnqKmjVrEhwczOzZsxk/fjxt27YFknvtwNhnc+zYMWbMmMHkyZMB43y21LDb7dq+1+drEhISmDlzJtevX8/2OWXnzp0cOHBAq1lR661atSoFChTI8TOQCDYKDzKOcxr1z379OUHtZ2fxj7TQ52u7dOnC8OHDcXNzM/T+OZ4jbDYb1apV08SQ4uPjXT7X0VUxWEfhRqmrF/7rKOHGsmXLGl5XM4kAIiIiiIyM5MSJE5m+frly5ejXrx+NGzfG19c3RZ8x3LNnCxYsYNKkSUDG/JvUyM1eHUEQsoajcGOjRo0MPTdq5hLApUuXWLBggSbYqHqFckuwUaH3n7p3706PHj0oUaKE5q/oBRuzc/bx9fXl008/Zfv27dJPLDzwqHnrpUuXZvr06VSuXDlVW6CEG0NDQw1z2XITR+HGatWqaXOeHNerhBu/+uor7bvm9noFQRAEIbPIdHFBEAThgSY3BBsV6Qk3qsS8PiBdpEgRChQokOV7CoKQ+6h9rgJCFy5cYO/evSxdupRPPvmEjz76iHfffZcJEyYwe/Zs1q9fz+nTp7l69SqQnOzPSEIsPeFGMCa6rFYrxYoV459//gHu2bqc+s5pJfZd1bypbLIk8gQhZ0hLuFFfQGi324mJiSEyMpKFCxcaiiKzQ26LvzpD7IkgZI3GjRvTs2dPwDicQiXpz58/z3vvvcf58+dzLTlmt9uxWCwkJibyyy+/AMn+VWJiIiVLlqRNmzaA7H1BSI/SpUsTHBzMk08+qTU06YtzlHBjp06dsizc2Lt3b6fCjeo5n5pwo0K9v0CBAjz22GNMmjSJcePG0bt3b+2a+oICs9msnScOHTrEggULePHFFzl37pwm8KrucejQIS5fvqxdRxCE3MOVwo2Ogo3Tpk0DjMOwlJ343//+R69evfDy8sqVARClSpVi0KBBNGzYEMiZM4/JZJJh4cJ/GmVDHF9zc3PL0b1RqFAhmjVrRnBwMKVKlSIuLg53d/cMN4BD2sKNCQkJlClThiVLllC4cOE8801EpF54UEhPsFH97OqcsaNwo1qb4vbt28ybN49du3ZhsVhyJRbryuYqsSGCkL8xmUzEx8cTHR1tGHYFyaKNjjYwLwZeKXx9fSlevHi2riEIgmuJi4sjISFBG6Kn/KCs2BRwTc5Y+WdVqlSRwRLCA4fZbObSpUuEh4cTGxurDZqz2+00atSIMWPG4OnpaXi/489qb5UrV46CBQtis9myJWJvNpvp2rUrXbp0oWLFioAxN6QEXg8ePEjHjh3ZtWsX8fHx2nUych5S77l16xZ79+4F0NadlJSEr6+vNjxDcsWCkHM4xiuzGr9w9rmcqDNRNbrKDprNZtzd3SlcuHCKe+XVGUcQ/qvoY57OhBuV7yHCjYIgPCgov+nOnTvaa2roXoECBfDw8EjhE+WFqLT+c15eXlm6hiDcz+iH1Q0fPpyRI0dy5MiRTF9Hvw/Xr19Px44dGTBgAIBW654V1DkpOjpa+1nZEl9fX9zd3bV6mbzu0xEEIf+TlJREQkICUVFR2mtKQKBIkSJOBUvSsi92u92lMRRPT0+ZvSA80NhsNk6cOMGvv/5qGNBttVpp164dBQsWzFL81THOqvqDbt++za1bt4iLiyMuLi5HvoMzqlSpQrNmzYDkwZwqhxwTE8P69etZtmyZZidEuFEQ7h+cxTGyi81mc3odZ7X/eemXyLlJ+C8QHh5O9+7dmTNnDmfPnjXUeOQGStCwX79+vPjii1rNaHx8PG5ubpnq1wHnwo0eHh7Ex8dTtmxZ5syZg4+PT676Isov8vX1TZG/FoT7HfU837NnD3/88QeQXEdmt9tp0aIFkydPplq1avj6+jrdeyqv0qZNG9577z2mTp1KwYIFtdkB+jgoQGxsLPPnz+e9994D0GrmUsPd3Z3mzZvj5uamnUVU39D58+f59ttviYmJyfJzPzY2lu+++44LFy5o61Vx4bZt2+Lt7S0+hSBkAMe5jqdOnWLXrl0sWLCADz74gOHDhzNw4EBGjx7NxIkTWbZsGX/88QcXLlwAMic+nVnhRovFQqFChbQ8kru7e474Enk911EQhHvohRv1vXZq3pLdbmfRokUsXryYkydPZvr6qQk36jGZTHz11VeZEqZ2RAQbBeH+ITPCjXFxcYb51Xpx+9wQbFQ4Cjd27tyZQoUK8dlnnxkEG7NrT3x8fChWrFi21ysI9wPKFohwoyAIgiDkPa7zpAVBEAQhj3Em2KhvVMzJ4ZsK/eCZ9u3bA/eKk44ePaq9rk/KXbp0ia5duzJ16lSefPLJDBcICYKQd5jNZm7fvs3+/fvZtGkTv/zyiyaSmBpeXl4UL16c559/nmeeeYZGjRplOKitAmkWi4WBAwcCMHv2bC0orU/wJyYmsm3bNpKSknjzzTd5/PHHs/198yqxLwiCa3AUbgwKCuLAgQOaTdIH6k+cOMHXX3+NxWKhbdu2WgFkVvZ2erZEEvqCkH9R+7B169YcPnyYHTt2aA0XqiAZ4LfffmPMmDF88MEHlChRwuVnG2UbvvjiCw4dOqQVU6vhFvXq1cPHx0fOWIKQDna7HQ8PD15++WXMZjOLFi3i8OHD2t5R+1wJN3bu3JnIyEgKFSqUbrGOo3CjYufOndoZRz9IRgk3Tp48mYCAgFRjNWptDRs2pGHDhjRo0IA1a9bw008/ceHCBa35wmKxaN/BYrFw9epVrl+/nmJ4zcmTJ/nqq68YN26cFBgLQh6ghBsHDhzI2bNnDfbHUbgRoEGDBimaHRxJS7BRxYiVz1CxYkXGjh1LoUKFctVv0A9KlzOPIOQMVqtVsx9wr7A4Ojqa2NjYHG1u9PPzo0WLFiQkJGh5qMw0gIMxlxQcHIzJZGLq1KmUKFGCxYsXU7hwYZcXRgvCg05ago15lTMeN24csbGxBhF7s9lMQkICO3fu1PZ9rVq10vV30iIvhvoKgpA22dlfrtib7u7uBluUVhOn2BRBENJDCaw4DtPz8PBI8d68HB4uuSLhQUTVd0RGRhIVFaUJ1NvtdkqWLEn37t3x9vbO9HWzs1/0Z6HXXnsNT09Pli5dym+//WbIDdlsNqxWK1evXmXQoEH07NmThg0bUqFChQydh9Tvli5dysaNGwGjCEJQUBDlypXL8vcQBCEl+njld999R/Xq1QkICMj0dfT7e8OGDVy8eJEePXoY7EdWUdd1HMCl/lbDdFKrYXP0TeSMIwg5i/4Zr4Qb4Z4tUHUpSUlJ2s9KuDEkJIRGjRrl7eIFQci36PM62fElcvpZr9YUHR2trU3lsd3d3fH09DTcLz+ISouvI/zX0J9xhg4dyvr16/Hx8WHu3LkEBwdToUKFDF3HUbBx6NChAGzZsoVhw4bx6aefajnqzNaAqByOo+ijYzxWBm8KQv4ip+pQ9YJmJpMp2/UsFovFIJCmHzjsbLi45IkFwbWYzWZu3LhBbGys1v8C9/aev78/kDkfXe1ZZX927NjBxYsX2bZtG9euXePOnTskJCTg7u6On58fVatWpUSJErRs2RIvLy88PT2zbb/U/u/evTtHjhxhxYoVhpkqNpuN8+fPs2LFCgoXLkyTJk2yVSMnCEL66M8h8fHxTsUQM4J+n546dYpy5crlSF5H5YxVbNhsNhuE4tT6ZdaJILiWsLAwxo8fD8C0adNYu3Ytjz76KH369KFo0aIGgUFX9d0pm+Lj40OvXr2wWCwsXLiQu3fvsnDhwkz360CycKPJZGLatGnExsZSrlw5Fi1aRJEiRfKkX0dskvCgYjabuXbtGl9++SUxMTFa/NJut1OnTh3ee+89fHx8tPc72wv6mIevry8tW7akVKlSzJo1i/3793Pr1i2tZ1AvfP/tt98SGxvLp59+avi9M0qXLm0Qa1Qx1jt37rBmzRrKlStHgwYNNCG2zOzZsLAwIiMjgeSeJYBXX31Vct2CkAnMZjO3bt1i9+7dbN26lZ9//pmoqKh0P1O8eHHq1KlD7dq1ady4MQUKFNB+n9Z+1p9runTpAsDEiRNJSEgw9Nuo+OyuXbuw2+307duXatWqZTuuITFYQchfKOHG0aNHc+bMGcP+V8/3RYsWAdC5c2ceeeSRTF2/XLly9O3bF4Dvv/+eO3fuGGYiwD0/af78+QC8/fbbhvmz6ZGXvTqCIGQNR+HGoUOHsm3bNs02OOZ1Ifk8lZSURIMGDXJNsFGh95969uxJ06ZNKVOmjLZOsSeCkHlUjEIJNw4aNIiDBw8abIHae0q4EaBbt245kqvJLI7CjePGjePAgQNarat+vUq4EcixniFBEARBcBXydBIEQRAeSByHb6ohc64cvqlQh0CA9u3bExQUxBNPPAEYC5DUQfLMmTMMHTpUOxTrB1gJgpC/uHv3Lr/99htvvPEGI0aMYPny5ZpgoxpuaTabtQJhk8mEm5sbMTExnDp1iq+++oq33nqLzp07s2rVKs6dO5eh+6qgOsDAgQPp27evoUlKBajNZjN3797lxx9/ZPbs2Rw7dixb3zetJJzdbpfEviDcpzgKN1arVo3ExETNhumboU6dOkVkZCQrV67k7t27BtuTUaQhQhDub9Q+rFChAq1ataJEiRJAymR+YmIiP//8M6NHj+bcuXO5crY5dOgQP//8M4BBsNFkMtGmTRvD8HFBEJyjnu3u7u60adOGLl26ULFiRSB52K9euPHkyZN06tSJGzduGBoH0ru+Em7s3bs3zz77LIChkVK9Vwk3Xrt2zXAO0uO4r2vWrMk777xDeHg4rVq1omzZstr11XWTkpIMhc/6M5S67549e7L4vygIQnZRwo1lypTRhjI4FuIo4cYff/wRINWzSWYEG8uUKcPcuXMpUqRICpskCML9hX7YjEI9810RW/Dz86NNmzYsWbKEWrVqZakwUH9m6t27N++//z5LliwRwUZByAHyWrBR4Zgzfu+997QBV8o+6YUbf/nlF+bOncvevXuB1P2dtJCGTUHIHzjGS/QD9jKDfm/euXMnR9amrqUG/6kzEtwbUqNHbIog5A8cbUpaQqtpofcr4uLisrUm/fVu3ryp+Vh6m6KGiar3Sc5YEHIeleM4ePAgYMy7lCxZkipVquTIfRztjr7529mZRd9E+fLLL9OnTx9t+JQ6d6n8stVq5datW8yaNYvx48ezcuVKIDlHrWyE3W432MO4uDgWLFjAlClTAGONcLVq1Xjuuedy5LsLgnAPfbzyzTffZNiwYSxfvpwbN24AZDh+4ShmMmTIECZNmqQNsslunYmXlxeQbEOU7bh7964mQCCCjYKQt+hjnkq4sUWLFkCyILzau3rhxm3btuXhqgVByK8ou6F+NpvN6dayOUP/rP/rr784evRojq0xtTiO3n+Snh1ByBvUGWfYsGGsX78eq9XK3bt3+eGHH5g9ezZHjhxJ9xqpCTZ6eHhgNptZt24d77zzjuF+mcFisWCxWChSpEiKc86FCxe4cuWKxFwFIZ+hfBKAW7duARmPm+jR79Pjx48DpFpXn1H0tfOOtTFKpCAjOR3JEwtC9lF77erVq8C9Z7baW35+fhQrVszwvvRQ+aG7d++yYcMGhg0bRs+ePfnwww/57rvv+O233zh27BinT5/m6NGj7Nmzh/nz5zNmzBiCgoL46KOPOHz4sKEGNiu2S/XtwD1R7Fq1ahlySer6Bw4cYPHixezYsUP7nCAIOY8+tzNy5EiWL19OTExMpq+jf76vW7eOHj16MH/+fEOvT1ZJSkoiISFB80OUvXBzc9PeI4IDguBaQkNDNcFGT09PAE6cOMGmTZvo2bMnw4YNY+3atZrf4sq+O71w4+uvv063bt1YtmxZlgQbFQULFuTVV1+ld+/elC1blvDw8DwTbBSEBxX1/N69ezdRUVEGwWVPT09atWql1ZJm9rpVq1Zl5MiRdOrUieLFi2vX1ffhmEwm1q1bx5AhQ7T69tTOM7Vr16Zz584A2swB9efIkSN8+eWXbN++nejoaMP5xhG9/2Oz2Vi4cCFTp04FjDVs5cqV4/nnnxefRBAyyJ07d9i7dy/du3dn1KhRrF69WhNsVLETNddR1aC6ublhs9m4cOECy5cvZ9SoUbz66qtERkZy+PBhIP24g/5c06VLF4YPH65d13EmSVxcHLt27WLOnDkcOHBAu35W4ijpnXUkBisIeYMSblQzi9T+VvOWABYtWkRkZCQnT57M9PXLly9Pv379aNy4Mb6+vpqt0aOEGydNmgRkLD+UXv+fxE8EIeuk1zvj+L7MxksdhRsbNWpksA2Of8M9m1S/fn2++OILIPcEGxV6/0kEGwUhZ1D7Sgk3Vq5c2WALVBwE0IQbQ0NDcyRXkxX0wo2jRo2ievXqWK1Wg81U6/3333/56quvNGFqs9mcrdoXQRAEQXAVMn1UEARBeOBwNnwTkgvuAgICXDZ8U5GecKPjwffMmTMMGTJEhBsFIR/z119/MXfuXPr06cMff/zBzZs3AbQkvioKttlsJCYmaoNclA3SD5z6448/GD9+PP3792fr1q2G5vDU9r+jcGO/fv1SJO2VTYmOjmbbtm3ZEm6UImZBeLDJrHBjREQEK1asyLRwoxQJCcKDgdrzbdu25YUXXnC6P5U/9PPPP/P2229z+vRpl55tYmNjWblyJfv37wcwDNzp06cPtWrVcsl9BeFBJD3hRpUAV4WEp06donPnzlkWbuzVq1e2hRsd8fb2pmTJkkyaNIlx48bRo0cPbfCNEnXVJ/UV6neXLl1i9+7dmfuPEwQhR8kJ4Ua9zZo1a5ZBsFE1UinBxhIlShAeHk6xYsVcFiMWBCH3UHFX/fAoi8WCr68vvr6+LhNuLFKkCJD15nN9QWHnzp0pWrSoNIALQjZJT7BR/awEGyMjI3M1Z+wo3KjWnBPCjTI0TxDyB/pn+dixY1m6dCmQefER/d5cuXIlbdq00RrHs4PNZiMuLs4Qz1H3UQInKuctgo2CkPfobcrMmTP5999/szSUV78316xZw4QJE7h8+XK21qYfQqHu4awJ1W63pys+IPUngpB1jhw5wr59+7QhVGowTfv27fHx8clSrtbxM+qslJCQoIk/A4aBNI6YzWZtDzds2JABAwbwyiuvAMnCKmq4lcViITY2ll9++YURI0bwzjvvsHTpUm7fvq2tRfkfSUlJrF69mg8//JCJEycCaMO+1M9NmzalcuXKmf7egiA4R++PDB06lO+++47Y2Fi+/vprli1bxo0bNzIUv0hNzMRqtTJx4kTCwsKA7Ak3xsfHA2hxYn3sxWKxSD2sIOQT0hNutFqtmp8gwo2CIKSG3kd54403aN68OfHx8RmqZdOjf9avXbuWV199lQULFmjiSNlZX1JSkrYWVZ9vMpnw8vLS4jtp5XZAfBRBcDXDhg1j3bp1uLu7aznbmJgYtm/fnq5wY2pnHDc3N+Lj4zGZTLi7u7N69WrefvvtbK3Tw8PDady1cOHC/P777xJzFYR8gt4/GTVqFB9//DFXrlzJ9NBuR2Gk1q1bExISAmRPuNFmsxETE8OdO3cM1zCZTBQsWFDL96Tln4igtCDkDGqvKHHXpKQkbRZBTEyMdh7IyJ5SeZbr168zevRoJk6cyLp164DkuCignUcALVZqNps5fvw4K1asoGPHjsyfP187C6la/syi7hcQEEDHjh0pW7asIY+sfr9z505CQ0OzffYSBME5er9k2LBhLF++nGnTprF58+ZMCTc6nnuGDRvGxYsXWblyZY4MA7bb7cTHx2ufdxxsrmyV1K8JgmtwrLOPjY01+AtXr15l9+7dvPXWWwwYMIBPPvmES5cucffuXcAoWpBTKJvi6+tL//79qVKlSpYFGxUFCxake/furFy5koceekj6dQQhh1F2Y8+ePcTHx2sxh6SkJAICAmjatGmW+nTUdcuUKUO3bt3o37+/1vejatbUfAKTyaQJ2Cs/wdE/UbaqadOmPPnkk4CxtsRkMnHgwAFmzJjBF198QVRUVIp1K79D2aR9+/YxYcIEPvnkEwCDOAHAiy++yP/93/9l+rsLwn+RP//8k1mzZtGvXz8OHjyo+Rv6uY6qHl3fQ+w419Fut3PmzBmmTJnCoEGDWLZsGXFxcdp9Uju7pCfcCMm9f/Hx8fz888/MmTOH33//Hci8cKPMdRSE/I2rhRvLlSuXIeHGr776KkPCjTLfURBcg76PRf19+/Ztrl+/zsGDB9m7dy8HDhzg4MGDnDhxgtu3b6d5nbTIiHCjvl/Pw8ODp556Svt8duImWcXxnmJPBCH7qNlD95twY8WKFXnvvffSFG6MiooiLCyMr776CkBmvAmCIAj5EskeCoIgCA8UzoZv6gvucmP4pkIdWtUQHIDw8HCOHj2qva6CX3rhxpCQEO1wnBcBMEEQ7qFPKG3fvp2FCxfy22+/ERsbaxj2r/52HPKi/xkwvN9sNnPz5k1u3rxJ//796d69O02aNKFmzZoG2+GICqpbLBYGDBgA3BMhcLyfXrgRoG/fvjz++OMZ/u7S/C0I/w0chRuDgoI4cOCAVhygt0VKuBHuibb5+Piku+cloS8IDw6qONlsNvPuu+9y7do11qxZo4mgKX9H7d0DBw7w+uuv89lnnxkS/Dm5v8PCwggNDQWMwgvPPPMMjRo1ypF7CMJ/CUfhRrhXKHj48GFt/9tsNq2Q8OTJk3Tq1InIyEj8/f3TbVbSD/DWi6ru2LFDO+PoC5aUcOPkyZMJCAhIN4aj7JTFYqFGjRrUqFGD+vXrs2vXLpYuXao1tAOGe+n9kSeeeCKL/3uCIOQUSrhx4MCBnD171hBDdRRuBGjQoIGhwFAv2DhjxgzAeYy4RIkSLF68WAQbBeEBw3Ev22w2EhISiI+Px93dPY9WlT6O65YGcEHIOmkJNqqmJNWsGRAQQEREBOXLl3f58AVnOeNx48YRGxubIl+ckJBgEJSvWbNmihyUM0RcTRDyB3p7MnjwYDZu3EjZsmXx8vKidevWaeaB9TgOvBoxYgQAb7/9Np9++mm2YhhmsxlfX1/c3d2Ji4vT4j0A165dA+7ZFKvVKiKwgpDHOAokrV+/nl9++YXp06dnKGaq0O/NDRs2aAPCPTw86NGjB8WKFcvWOt3c3DSfBtBsSnR0tPYeEZYWBNdx/fp1w2BNlf/w9/cHMteArfwU9Zmff/6Z8+fPs3nzZm7evEl0dDQ3b97E29ubsmXLEhAQwAsvvED58uV59NFHU1xHf5Z58sknGTlyJCVKlGDmzJmGYTmqidRisZCYmMjq1atZvXo1c+bMoVChQpQtWxaTycSVK1e4ceMGp06d0myNY0Nn+/bt6dGjh/ZvsSOCkH2UPzJw4EA2b96sDbk6d+4cS5YsAaB9+/YUKlQo1X2XlpiJEisKCQkhLi6OXr16Zbl2XvlG+ty0zWbjxo0bAOzatYsePXpIDZsg5AP0foISboR7ZxZ1FlJiZ3rhxpCQkDytC1N+zj///IPFYqF48eJ5thZB+C/jGDPZuXMnAF27diUsLAx3d/cM5X4cfZS33noLgNWrV+Pu7k5QUBCPPfZYltaofCa1Br1IyY0bN7h79y5+fn5p5nakZ0cQXE/dunXZtGmTJvqqnvVKuBHu9eNVqFDB8Lm0zjhqD6vBvW5ubrRr1y5L61O2zMfHBzD2FCYlJTF27FiWLl0qPX+CkA9wltMJCAhg7ty5BAcHU7Ro0QztQWfCSABz587Fzc2N/v37G2xBZtCLEDiiBperWnzxTwQhd1BxUMeh/vHx8Rn6vLIFly5dokePHoYB4So2qva9vu/PUZjEYrEQGxtLSEgIBw4coF27djRq1CjDNS7OsFgsNGzYkCNHjrBkyRJu3bqVwk4kJCRoNkUQhJxD1X1BslC9m5sbN27cYPz48djtdpo1a4aXl1ea10nt3GO1Wjl+/DhLlizBbDYTFBSU5byOm5sb3t7exMbGajbLbrfz77//As5rTaQmVhByhqVLlzqts1c41nH89ttv7N+/n+3bt1OpUiUCAwOpUKECvr6+TmcsZQdlUxz/zg6+vr4AmhC9IAg5S1JSEufPn9fiouq16tWr4+fnl+1+nYCAAFq1akXRokWZPHkyx44d08To9fMPNm/ezPDhw5k6daomdOBYR/LMM8/QuHFjzpw5w507dwCj/Tp27BinTp1izZo19OnTh/Lly1OjRg3N/4iKiuLy5ctERkZy4MABTpw4ASTXsKk/r776Kv379wfI8rlKEB5k9Ptu27ZtfPXVV/z+++/ExcUZ5jrqRUccZznq604c5zpGR0dz5swZRo8ezYEDB2jWrBkNGjRIYRv06G1Kly5dAJg4cSIJCQkpev/i4+PZtWsXcC+P9PTTT2eo9w9krqMg3C8o4cbRo0dz5swZg71Rs0sWLVoEQOfOnXnkkUcydX0l3Ajw/fffc+fOHUNPDiQLNwK88847TvNDIgIrCK5DzYq+cOECW7Zs4fjx4/z+++/ExsZy8+bNFO8vWrQo5cuX57HHHuOFF17goYce4tFHH9XOAumdCxyFG4cOHcq2bds026CfqxQXF8eqVatISkqiT58+mgCsnDsE4f5H2QIl3Dho0CAOHjyY4kxis9k04UaAbt26ZSu3m1UchRvHjRvHb7/9pvUN62fBXblyhUmTJvHoo4/SsGHDXFujIAiCIGQUySAKgiAIDwzOBBvVz7kt2KgQ4UZBuD/RJ5RWr15NSEgIV65cMTQ36gNAaq87JrxUYbPdbteKAPSJf1WkuHDhQvbv389LL71EYGBgmgl+Vws3SmJfEP5buEq4URL6gvDgofdPJk+ezK1bt9i+fbvmr+j9IKvVysWLF+nWrRujR4+mXr16FC1a1CD+mBkcbcPChQuZOnWqdi/VAOLj40OrVq14+umnc+AbC8J/j4wIN9rtdq2Q8NSpUwQGBhIZGUmhQoUy3DjhKuFGx0Kl+vXrU79+fdq3b8+cOXP466+/OHbsmHZ28/Dw0IZMzJw5kyZNmmT5/04QhJwjK8KNGRFstFgsKQQbXS3QJAhC7mE2m7FarQZ/wmazERcXR0JCguRaBOE/QHqCjfpBUyaTiZEjR+aKYKPClcKNaeV1ZDiNIOQeKl4CMGTIEDZu3AjAP//8w2effYbdbqdNmzbpNj6kNvDK09OTY8eOMWjQIGbMmJGhvG9qKFuob2IHtOETzgQbJb8jCLmLs+G+FouFPXv2MHDgQGbMmJGhmGlqNgXu+UxJSUn07t2bokWLZnmt8fHx2hBftZ7ExERiY2OB1AUbQQSSBCE7qH1y/vx5IDkWarVasVqtlC1bNlPXU/s3OjqaHTt2sGnTJtatW2d4j74m99y5c9jtdjZs2IDVaqVr167UqlWL+vXrG/wd/V729fWlf//+lCxZkoULF3Lq1ClNFCEpKUkbmGO327FYLFy4cIELFy5w8OBBwzqU+ImyO+r/o1WrVnzwwQeG7yMIQs6wcuVKNm/eDKA9600mE//880+6wo0ZETNxd3cnJiaGWbNm8dJLL2XZNylRooThvKNsxOXLl9m7d69BsFHqYQUh78mIcGNiYqIWc8lr4Ubl3+zatYv+/fvTpUsXOnXqJMKNgpDL6IdqDx48mI0bN2KxWLBYLBw4cICgoCDCw8PTFW5MKw4bGxvL119/jcVi4bXXXksh1pYR1LXd3d0BDLFYVa+WliCSxEwEIXd49dVX8fb25u233zYIR6cl3KiPOTiecRzjnlarldDQUJ555pks1a0oG/bkk0+yadMm4J4dSExMJDEx0SDYKHkcQcg79P7JsGHDtJzOtWvXWL9+PXa7nT59+qQr3Jiaf+Ll5UVMTAwzZ87EbDbTr1+/LMU+lc/k7+/P1atXtToVgIsXL3Lz5k38/PwkpyMIuUiRIkWA5P2l6sZOnDhB9erV0/QflE/y77//EhQUxLlz5wyiBvpcjV6ESd+DB/fOKvo4zHfffce5c+e4efMmL730UpaHe9rtdnx9fenWrRvHjh3jhx9+0GLLAI0aNSIwMJBKlSpl5b9OEIQ0UPv1nXfeYd26ddq+t1qt3Lx5U6utTUu4Ma3cjrIpZ8+e5YsvvgCga9euWVqrr68v3t7eXL9+XbsvwIULFwAkbiIILmT//v0AeHh4GASjnc1L0tffnzp1ilOnTrFx40YaNmxI3bp1adeuHR4eHpq9yc99O2IjBME1xMTEcOHCBcNsNYDChQsD5Ei/jpeXF/Xr16dQoUJ8+OGHHDx4UIuP6OcTqLjM5MmTUwgbqX6dPn36cOnSJZYtW6Zd39GP+Oeff/joo49ITEzk8ccfx93dXavVS0hI4O7du9r7lf2De2esVq1aMXbsWMPaBEFIRr/fVq1axdSpU/n3338Ntehg7MPL6FxH/fVVHOLbb7/lzz//5ODBg/Tp00d73ZltyoxwY1xcXKaFG2WuoyDcX+R34UaZ7ygIruPgwYMcOnSI+fPnc+vWLaKiorTfqX4dfS9xQkICUVFRXLlyhV9++YWvv/6aIkWK0KxZM1544QWeeuopPD09071vRoQblR906dIl1qxZg8VioVevXiLcKAgPEA+acKNat81mo3Xr1iLYKAiCIORbxJMWBEEQHgicDd80mUxawNjf35/FixdTvnz5XE9mq0Mr3BtKERQUxBNPPAFgKGx2FG5Uh2LHQXmCILgWfULp66+/ZtSoUVy8eFFrvFT7ViWtlGhJwYIFKVy4MOXLl6ds2bI89NBDANpQKZUI0xfzJCYmav/+448/mDZtGpMmTdLel9r+1xcYDBgwgH79+mnBKv330As3zp49m2PHjqX53dNKwqkGMknCCULG0O9HQCuQyY84CjdWq1aNxMREzGazwe6pYuqIiAhWrFihFRI6flcpEhKEBxe9DzJ37lzq1q1raN5UqKKCu3fv8uGHHzJt2jR++uknILnxy9F2pIY628G94Z/Tpk3jk08+AdCKKNX1XnnlFQIDAzN1fUEQjDgKN3bp0kVrhFY+gV648eTJk3Tq1Inr168bhvWmhTqr1KpVi169evHss88CaGcu/VqUcOO1a9cMNigt9New2WyULVuW0aNHM336dDp27EiRIkWwWq3aAKzPPvtME2wU2yEI+QMl3FimTBlDk6cz4UZVZAjw+eefpyrYmJiYKIKNgvCAowb36uOwvr6++Pj4SIGxIDzgZFSwURUi22w2Jk2axK+//pqr/oBjzvi9997D09PTab5YCTfOnTuXvXv3AmQpFit5HUHIPVTO94033mDDhg1YLBbtXHLu3DlmzpzJ6tWrAVKtA0lr4FVcXBxWq5VTp07Ro0cPjh49mqV1KuES5R+ppgeAq1evArBz507J7whCHqMXH1BDZOCe/di7dy8DBw7k6tWracZM07Ip6vqLFi1ixowZXL58Octr9fPzw2q1GvwZgOPHjwPObYrUnwhCznHz5k0g5eC8zJx1VD3ttWvXGDVqFBMmTNAEG81msyaSqPK26o/yaaKjo5kzZ472WXWucUT5P23btuWjjz6iS5cu+Pn5aXFc/dlN2Tb9/fRN5mazWbMndruddu3a8emnnxq+jyAIOUedOnXo3r07cE+wWYmy6oUbly1bxo0bNwzxi7T8EX3sIj4+Hjc3N7788stsiUn7+vqmsCEAy5cvJygoKEU9rJxxBCFnSO1MYrPZtOd/arUYepuhhBtbtGgBGMXs1c9KuHHbtm05/C3SRh+H7dWrF3fv3mXJkiV8++23XLp0KVfXIgj/ddQz+sMPP2Tjxo2aT6LsxO+//05QUJAmEO+sli0tHyU2NlazPZGRkSxZsoTY2NhMr1PZPx8fHyBZfN5sNnPr1i0Adu/eLcIDgpAPaNmyJZMmTdLqyywWixbbUMKNs2fP5siRI0ByfaozUXr9fs6uYKOegIAAAMOgYoWygfo+ahD7IQi5idpf/fr1Y926dbi5uWk+yvXr19mwYQNz5szhypUrTus+IG3/JCYmBqvVitlsZsaMGXz++edZWqe6r7Nctc1mw8/Pj3379jntKRb7IgiuoUyZMoa9puYVHDx4ECBV/8Fut2OxWLh+/TpvvPGGQbBRzSVQZyFvb2+KFy9O8eLF8fPzw8vLS4vZKHEDlQNSnz1y5AizZs1i5cqV2joy22ej8jmFCxfm/fffp3LlyprP0qBBA7p06cJzzz2nfR9BEHKWCxcuEBsbi5eXl2YPVB+gEm7ctGkTMTExKT6bXm7Hbrfj4eGBzWYjKiqKGjVqZGutat6K+tliseDj48OaNWtS1JpI3EQQco6BAwdSqlQprb8W7sUwS5UqRZEiRfDy8tKe0foafLUPbTYbP/zwA+PHj6d3795MmjSJ8+fPp4jHynNeEP476OtEFOqZnVNYLBaqVq3KxIkTqVy5slYPr8TqVS3LmjVrGDlypPYZFQfRn30++OADWrVqZbBxCnUtfS3s33//zV9//cWNGzeIjY3V7qXiyuqM1bZtW62GTT9TThCEezib63j58mWDOKOKrap+wKSkJAICAihevDgVK1bkiSeeoGTJkto11fv0dauOcx2PHj3K3LlzNdugF1t1RB8/7dKlC8OHD8fNzc1p758Sbpw9eza///474Lz3D2SuoyDcryjhxrJlywLJvo5erG3RokVERkZy8uTJTF9fCTc2btxYE1xz3PNKuFE/m1bV8TqzKZI3FoSsc+3aNebNm8eAAQMYO3YsJ0+e5MaNGwCGfIryPxISErS4JST38SQmJnLp0iVCQ0MZOnQovXr14vDhw9y9e1e7V2oxE0fhxkaNGjn1QwAuX77MypUrmTdvnib8KrPrBeHBQMUzlHBj5cqVU7UFSrgxNDTUMJctN3EUbqxevbrmK6mZBi+99BKTJ0/WXhMEQRCE/IZMJxQEQRDuexyHbzoOdwoICGDx4sWUK1cu2wNZsiq45DiEs2vXriLcKAj5EH1CKSIigg8++MAwZEYV++oLcjp06MDo0aNZu3Yta9asYcWKFaxdu5ZVq1YRHh7OtGnTqFevHuXLlzc0TqjGa33z5Z07d/jqq68YPnw4kHpTBeS8cGNaiX2QIZyCkBn0++L777/XGiQzIjKUV+iFG8PCwlIIN6rvlJZwo7JxItgoCA82qngYYMGCBTRp0sQwYEvZBDUEJzY2ltWrVzN8+HBmzJjB+fPntYGezgqwHV9T57cVK1YwYcIE5syZAyQXQirb06ZNG61IUi/0KAhC5nEUbgwMDDQIN6pziiokPHXqFJ07d86wcKNeeC0t4UZlU7Ii3KhQfoy3tzePPPIIH374IZMmTSI4OBiAkJAQ8UcEIZ+SUeHGqVOncuDAAb766is+++wzIFmgSQQbBeG/Q2rPcIvFIg2OgvCAk5Zgo8oZq/cprFYrV65cYejQoezbty9X1+uYMx45cmSWhRtFsFEQ8h+3b99m//79QPK5RMUm0hNuTGvglWrEVjGTf//9N8uDLMxmMwEBARQuXFh7Ta3jypUrbNmyhZ49e0quWBDyATt27GDjxo2AcfiVEm4cNGhQqsKN6dmUxMREPD09Afjmm2+Ij4/P8jr9/f21weBgbJr6+++/xaYIgotQe8Xf39/welJSEjExMZw7dy5D11H1tJcvXyYoKIj169dz8eJFILnJU+Vk9ecq9Zp+sI1qLO/bty+HDh1KkS/SD7OqVq0aAwYMYP78+TzzzDOa+ICyIaquDlIKUurt3hNPPMHAgQMZN24cIMOuBMFVFC9enB49etCtWzcAraYsLeFGfd2GM39E/7PVamXhwoXUqFEjW/XyhQoVwtPT02BDAA4cOKD1FUgNmyBkH8dhMerfcXFxXLp0iStXrgDJtgKSfRdnezw94Ub1bM8r4UbHOKw6T928eZP58+ezYsUKLly4kCtrEQQhmRIlSvDwww9rgu6AJjiSlnBjejETMOaeX3zxRS2GkhmU/StVqpThmjabjZiYGGbNmsXrr78ugo2CkE9o1apVusKNs2bN4vDhw5hMJqf2Qz/8Ugk2qjNOdgQbAapXr06BAgUMfYiOiP0QhLznscceA4yCBBkRbkxPGEnFX1RdSc2aNbO0PhVTLViwIIAW2zGbzdy9e5eQkBC6dOkiOR1ByCVsNhuenp4UKlTIMG8A7uVYr1+/nurAXpPJRExMDFOmTOHo0aMGwcbExEQ8PDx49tlneffdd1m8eDEbN25k7dq1bNy4kZUrVzJgwACaNWsGoNXX6Wcd2O12zp49y8KFC/nuu++0e2YWVRfz8MMPM336dB5++GGeeeYZunXrpvUPiS0RBNdQokQJ3nzzTVq3bo2np6dWw5aecKO+jjW1uInVaiUuLg43NzciIiJ48sknsyTKZrPZcHd318RWlG9is9k4duwY77zzjqEmVkRMBCFnKViwIFWrVgXQ4iBJSUmULVuWIUOG8MYbb1ChQgVDvYjK1+j79QD27dtHWFgYHTp04MMPP2Tr1q0GwUeZlyYIDzaO9WNqPhHcq6sHcnzO0uOPP86nn37KU089pcVOHIUbly9fztSpU7U16WvSlE80ceJEOnToQJEiRYB7/on6Hmp+iV58Re+vqPix+m4PP/wwvXv31vqZpH9ZEFLibK5jQkKCYW+pmlWVNw0MDGTcuHGsX7+eNWvWsHz5clavXs2qVatYvnw5X3zxBU2bNqVy5cpAsoCj3m9RNik2Npbly5fTs2dPbZ5kameZnBZuTKv/T8TVBCH/87///Y+xY8emK9wYERHBiRMnMn39zAg3Tpw4EQB3d3d27drldFasxE8EIfPYbDbWrVvHBx98wKeffso///xDTEyMdn5QPXP6nhq9T6CfL+0YN4mKimLPnj288cYbhISEOJ0V4IgINwqCAMnnkvtVuPGZZ57R5sS2adNG82NyopZOEARBEFyByZ6VygdBEARByCc4G76pb1T09/fPUcFGFRxfvXo1devW5aGHHsrUNfSHw2XLlhEeHs7Ro0cB41AalUQsW7YsISEh2uFYDpaC4DrSGuyrimRU04KXlxeNGzemVatWNG7cWLuGXpBRT2xsLLdu3WLBggV89913nD17Vru2sluQHBiz2+20aNGCcePG4e3tnea69bZtxowZzJ49O0VyTNkUb29vGjVqRN++fXn88ce1Nat7O0vsOybkJAknCGmj3xdhYWGMHz+eZ599lpkzZ2rNDfl5QJzyd+Lj4+natSsHDhwwCKPpB4KWL1+ewMBA2rZti4+Pj/ZZEX8VhJwnP+4T/fno3XffZePGjVqTliqGdJa8q1q1KpUqVaJbt24UKlRIG8DpjPPnz3Ps2DEWLVrEvn37iI2NBYz+md1u58UXX2TKlCkA+d7OCsL9hLI98fHxrF69moiICA4dOgQYYxjqnFS+fHkiIyPx9/fPVEOBzWZjz549zJs3jx07dmjXdBQuqF+/PpMnTyYgICBLe90xrnL9+nVtmHF+tLOCINzjyJEjDBw4kLNnz2q+heNwiICAAKKiogBjrEUEGwXhv8O1a9d47bXXuHDhgkFU3s/Pj61bt+Lt7S3nBEF4AElPsFENrtMPi3AUdi5SpAjTp0+nRo0aubp2/flk6dKljB8/ntjYWKf5Yjc3N+rUqUNwcLA2fC+tWKwM9RWEvEHt66ioKAIDAzlz5oxBUF41Q5QuXZr+/fvTpk0b7XPKXoHzQZz6PW61WgkLC+OZZ57J8p6OiYnhtdde02pVFM7uJzZFEPKWiIgIpkyZQkxMjOY76OMiNWvWZPr06RQuXFiLmaYnPqDf1x4eHsyfP5+aNWtmeU+fOHGCV199lZiYGMPgYHd3d010VnLGguA61q5dy1tvvaWdfdS5Z+bMmTRp0iTNz+oFGwMDAzl//rzBf1Gia3qRE32e1jEPrK97q169On369KFu3bq4u7s7vb/a97dv3+bPP/9kzZo1/PTTT1qsV91Pf299fPf111/n2WefpXbt2obvIwiC67hy5Qrz588nNDQUwFBTZrfbKVmyJB07dqRdu3ZaLUhGzjg5JWZy9+5dXnnlFc6cOWN43XGwhfgjgpA11B5Vf3/33XdcvnyZLVu2cPXqVW7fvk1UVBTu7u4UKVIEi8VC1apVefLJJ6lVqxaPPPKIwS9w3HP6f//xxx8sWLCADRs2AMlDaCDZJ/Dy8iIkJIRGjRq5/Ds7i8Pq/ZR+/foRHByMh4eHy9YiCMI9HId5fvHFF1y+fBlIFkpUQo5PP/004eHhuLu7awOD04rDQvLwOn0cNjs+ypw5c5g2bVqKM5v6t7N7g/gogpBXrF+/nrfffluLh+hzPF5eXjRt2pTHH39cq1lPzX7kpGAjwJ07d3jllVc4e/ZsCnsgPX+CkL/44osvNEEAx54Xf39/WrRoQZ8+fShatKgWT1F2Ir2cTk75J2PHjmXRokUp4ruO/onYF0HIHd5//32WLl1qGK4JsHDhQurUqZPi/Wr/79ixg48//ljzD5St8Pb25v3336dmzZqaiDzcE5R1c3PT/m2321m/fj0zZ87k4sWLxMbGGoQR1H0aNGjAkCFDqFChQpa/o8rfXLlyhVOnTml5HbElguAa9Hvr8OHDLFq0iLVr1xr2uaqf9fPz491336VZs2Z4eXlp10hNsNEVuZ0JEyYQGhqq+SL6GLT6PuKXCIJr+PXXX+natStgzMP07NmTt956i1u3bhESEsKBAwcMPcWQ7LPo454qRgLQtGlTnnrqKYKCgvDw8DD0AgqC8GASHBzM9u3bDWebhx9+mG+++YbChQu75J6nT59m6NChHDx4UKud1c9EKlCgAG+++SbdunXT1qTWp84pSUlJfP3113z33Xfs3LlTu7bym/T1cPrX9EKUzZs3p0mTJrz44ouGawuCkExm5zqqPdWwYUPtGvr3Oe7nO3fu8PXXX7N69WpOnz6t1Znq5zrqa2Lr1q3Lp59+SkBAQJo+iv5sEh4ezqRJkzShScfePw8PD+rWrUvfvn15+umntc+D87mO0qsjCPcfe/bsYdSoUVp9qtqj+vNQYGAgnTt35tFHH8309U+dOsXs2bP5/vvvNeE1R7kIu91O//79qV+/Pp07d5ZeHUHIAZKSkpgwYQLbtm3j/PnzgNFHgeT4h14wXr2u/u2Y59Gj7ISbmxv+/v4MGzaMl156KUNrs1gsREdHM3ToULZt2+bUDwEoVqwYL7/8Mr169dIEYGV2vSA8GKj9fO7cOQYNGsTBgwdTtQXlypWjY8eOdOvWzZDzzU2UvTx8+DDDhg2jatWq2hlQbJMgCIKQnxHRRkEQBOG+xdnwTUgOGLtKsLFPnz5s27aN4OBgunbtmunCABFuFIT8R3qJfbvdrtmZAgUKMGjQIBo2bEjp0qWBtIM/jsmqX3/9lZ9++ol58+YZ7qHQF+y88MILTJw4EW9v7zTvkR3hRvVZEWwUhOzjTLBR0ahRI6ZNm3bfCzcqW6QXbuzcuTMvv/wyBQoUYNeuXfTo0UMGSQiCC8iPtkO/pjlz5rBx40YOHz4MpPRxHJsuChUqRIkSJahXrx4BAQGUKFECLy8vbty4wdmzZ/n333/5/vvviYmJ4e7du1rhs7440m6389prr/HRRx8BxnObIAg5Q3rCjaopO6vCjfoB47kh3Ojs3uKPCEL+Jz3hRoXebohgoyDcP/zyyy8EBATw+OOPZ/ka169fp3379loxtHq2FylShC1btuDh4SHPe0F4wEhPsBGSc8b6PMf9LtzYu3dvatWqBSCxWEHIh6gzR1RUFJ07d+bs2bMZEm5UMY7cGHhlt9ux2WwMHDiQ7777zmn8RR/zEZsiCHmDfo9HREQwceJE4uPj0xVujI+P10RQMjLcNyeG6CUkJNCuXTtOnjxpyAupdeqHekn9iSDkPAcPHqRLly4kJCRoIiSJiYm0b9+eMWPGpJpLUfv+xo0bdOvWjSNHjmh+i2Ne18/PTxvk6+HhweXLlw2/V/ZDDfhUdW9VqlTRBkOkFpd1tD9Hjhzh9OnTfP/995w+fZobN25w9epVrFYrpUqVws/Pj2bNmvHkk0/y5JNPpnodQRBcR0aFG3v16sXWrVvp378/4Pqhvjabjfj4eIKCgvjzzz8NPojez5AzjiBkj8uXL7NixQr27NljGFoJybFZ5XvozwcBAQGULFmS4OBgypQpwxNPPOH0+mkJN+prxvTD+lwl3JiWYKNjzGTWrFk0btw4x9cgCIJz9H7DokWLmDdvXoaEG1XOKLdiJgBbtmxh4MCBBt/EmWitxEwEIf+QlnCju7s78fHxgOvPOAp1nfHjxxMWFmbIh0seRxDyJ3PnziUkJARIX7hR7fHcFEb6/PPP+eyzzwyCSCo3rNYp9kUQXI/aS+Hh4YwbNy5FjqZx48aMHTuWgIAAp59/9913WbFiBZBsK3x8fJg/fz7VqlVLcZ/U/v3nn3+yaNEivv/+e27fvp1CuNFqtdK3b1/efPPNbNkfx8+KLRGE3OPw4cNERESwZs2aVIUbR4wYQbNmzfD29s61uIn67MKFC/nkk08MM130iF8iCK7BbreTmJjIqFGjWLVqFWazWRMxAhg3bhzt2rUD4NChQ/z888988cUXxMXFERsb67QuFlLOEXj88cdp1KgRzZo146mnntJelxoPQXhwUM/jIUOGsGHDBq0Xxmw24+3tTUhICM8++6zL5qQcO3aM4cOHpxBuVD7FY489xuDBg2nSpEmKz+pt0eXLl1m9ejXffvstly9fJiYmJs37qtko3bp1o0GDBvj5+aW4piAI98iMYGOBAgUYPHgwDRs2pFSpUkDa+8rxd3/88Qe7d+/m888/Jy4uzqngkvJ5atWqxfTp0wkICMjwPTIr3Ki+u7O6E5C6ekG4H3G1cOPp06eZNWtWusKNak6S9BQLQvZITExk2LBhbNmyxTCnSC+8rGrkFeo1/Xv1v9efSyB5D6p9q17v168f7dq1o2TJkob3OSLCjYIgQLItOHPmDEOGDOHgwYOaXQGjbcpPwo0XLlygRIkSgMRMBEEQhPyPiDYKgiAI9yWpJd9UwDggIICIiAjKly+fo4KNAwYMYMuWLdrvRLhREO5/MiLYqBLcfn5+fPLJJ9SvX18bdJfRhJR+7yYmJrJ582ZGjBihNWzqr6EP0jdv3pyQkBAt4Z+aPcuscGPDhg0JDg6mYsWK7N69m9dff12ScIKQQzjaEiV2+CALNwYHB+Pv70+fPn3SHE4jtkQQMsfChQv5888/+fTTT4H8L9y4detW1q5dy8aNG4HkATjKXijb4dh4odAPptG/pk8Mqs/5+fnRvn173nrrrRTrEAQhZ0lPuFHt0ZwSbvziiy+04X6uFm4UBOH+ITXhRmfnCnUG0Qs2ir0QhPzJV199xaRJk+jQoQPdu3fnkUceydJ1rl27Rtu2bbVhnCaTCbPZTKlSpdi0aVNOLlkQhHxAZvI6/v7+vPvuu2zevJmtW7cC97dwY+3atXn33Xe5e/cur732msRiBSEfkhnhxn79+vHyyy8DsHbtWi3WmRuDftUwTtWYoW/QABl4JQj5gcwKN4aEhPDQQw8BzgUb9T/ntE3p0qULe/fuTWFTRCBJEFzPrVu3aN26NZcvXzYM1a5atSpLly5N87MxMTGMGTOG5cuXpxgG7OHhQbVq1WjcuDG1a9emWLFimEwmPDw8+Pvvvzl9+jSRkZFcuXKFqKgoQ3O5vqG8evXqjBw5kipVqmRqeI4iPj5eGzpRqFChbP9/CYKQM6Qn3FimTBmqVKnCunXrANeLIekJDw9n/PjxKQaEqnWKPyIIWePcuXPs3buXTz/9lKioKO11i8ViGOKrR+VqVKwkMTERT09PPDw8WLJkCeXLl3d6r4wIN+p/doVwY2qCjc7q62fOnOl0yKcgCK4lM8KNVatWJTw8HA8PD9asWcPbb78N5E7M5OzZs7Rv356bN28aXtef32QYpyDkP1ITbtTXw6vzhqvPOIpNmzYxaNAgILnnUOyHIORf0hNubN68OX369KFYsWKsW7eOYcOGAbnjn+zbt48ePXqQlJTktKdH8sSCkLvcvn2bDh06cOrUKcM5oUSJEkyaNImaNWumqIH/9ddf6dWrlyY+oOIjs2fPpk6dOhmyFfr9fOrUKb755hu++eYbbt68aRBZSUpKwt3dnYiICKpUqeK6/whBEFzK4cOHWbRoEWvXrk1VuPGTTz7h5s2bjBgxAsBpPNQV554zZ87QoUMHbt++begfVMi5RxBcy9dff80HH3ygiQeomGqlSpUYO3YsTz75pPbev//+m99++43IyEhOnjypve545nH0JdR7Xn31VZ5++mnatm2rfVZ6/QThwWHDhg2MGDGCpKQkg01o2rQpM2bMcOm9//zzT0aOHMmxY8dSCNEDtGzZksGDB1OmTJkUn3X0Kc6ePcuVK1fYuHEjFy9eJCoqitu3b2M2m/Hx8aFcuXIULVqUVq1aERAQQNGiRVO9liAIGRNsVOcNPz8/Jk2aRL169XBzc8vUffTnE7vdzu7duxk6dCjXr18HjHMd9cKNderUYdasWXh7e6fpl2RFuLF3794888wzItgoCA8geS3cqOyEOnNJXkcQskZiYiI9evTg119/1Wow9P6EPkfi5eVF48aNKVasGDVq1MDb25vExETc3d25evUq+/fv599//2XTpk2YzWZiY2O1/I3jHtbbipdffpnAwEAt/yLCjYIgpEVCQgJubm7ExMTQqlUrLl68aLAbeluQH4Qb9YhPIgiCINwPiGijIAiCcN+RXvLN39+fxYsXU65cuRwVbOzfvz9bt27FYrFgsVg0obXg4GC6dOmiDb7KKCLcKAh5T1qJ/cTEREMyqlChQsybNy9HGwv27dvH+PHjOXLkiCGwrsSM1CCb1q1bM3nyZCDtwsPMCjc2a9aMmjVrMmrUKEnsC0IOsWzZMkaPHg0YmxLU3ntQhRsffvhhLl26JLZEEHKQsLAwxo8fD0CHDh34+OOPgfzZhKA/n1y7do3Vq1fz2WefERcXp9kSfYG1GlzhOFjY8Xf6Rit9wUGdOnVo0aIFr732GpA//08E4UEjPeFG1cSQU8KN8+bNY8eOHYAINwqCkIwz4UbHgbtwz06ULFmSyMhIEWwUhHyMPh7r5+dHq1atCAwMzFITws2bN3n11Vc5d+6cYXBNsWLF2LJlC1arVXIqgvCAkJmGTX9/f5YuXUrp0qXZtWsXCxYs4McffwSM54z7SbjR3d2dChUq8Ndff0ksVhDyMZkRbnzvvfdISkqiX79+gOsHXimbsGLFCt59990UcReFNGwKQv4gM8KNNWrUICIigu3btxMcHAy4friv+vzMmTOZOXOmQURbLwYrfooguAb1DH/rrbdYv359ChGBSZMm0bp1a6efM5vN7Ny5k48++oizZ88aauS8vb356KOPqF69OqVKldI+57hnL1++zL59+/jyyy85ePCgwa/QCxk899xzfPHFF9qgm4zEajM6AEcQhLzjypUrfPXVVyxcuBBIFm4EDGcMZzEbV4qZbNu2jT59+gAYatvEHxGErLN9+3aWL1/Ozp07uXPnjtNhMvo4pv5nhd43aNGiBWPGjMHX1zfVe2ZEuFFfo5KTwo2ZEWwUeyIIeUtmhBtr1KhBhw4dGD58OJA7otI2m43r16/To0cPjhw5gsViMYjcyuA8QcjfrF27luHDhxuEG/XjOPS+iNVqZeHChdSsWdNlcYv4+HjeeustNm/eDEjMVRDuB9ITbnzllVcoVaoUH330EZB7wkhnz56lbdu23L1711BnB+KfCEJuo/b1tGnT+PLLLwEMdSU1a9Zk0aJFhvcCfPvtt4wePVqLtVitVgYMGEDv3r0BsrRXz58/z/z581m1ahXR0dEpBo3Xr1+fKVOm4O/vnxNfXRCEPMCZcKM676gYa0xMDJA7QtKKqKgoAgMDOXPmTAqfSc49guA69PvojTfeYOfOnYbzgZeXF2+//TadO3cmPj4ed3d37bN3794lLCyM3377TavLh5TnHmfCJQD169enfv36tGrVimLFijldkyAI9x+///47HTt2NMwPAfD09GTs2LG0bNnSZfe22Wzs2rWLsWPHcurUKafisUOHDqV3796p2prUXo+Ojjb0L/v4+LjsewjCg0Zm+//mzZvHU089lWP3PX78OB999BG///478fHxBl/HbDZr9az169dn/vz5QMbrVhctWsTEiRNTFW50d3enUaNG1K5dm7FjxxrONxKDFYTs4TifLK/IS+FGx+8uNkUQMk9iYiI9e/Zk9+7dBt9EzS+y2+0ULFiQokWLMnjwYEqVKkXFihUN13C2xw4fPsyZM2eYO3cuZ8+e5c6dOwApeu30tuKFF16gU6dO1KtXL9Xrggg3CsJ/Hb1t2Lp1K/379zf8/n4QbhQEQRCE/I48JQVBEIT7CmeiaqqgWCXfIiMjXSrYCJCQkICbmxtwr3lCCQlkBr0ISfv27QkKCuKJJ54AMCTrVZLvzJkzDBkyhIMHD6YQMBEEIfOkJ9iofla2JTw8nCpVqhiaLLN7/xo1ajBmzBhq166Np6entvf1QS2TycSaNWs00abUBmeq36nA/8CBA+nbt69hAIa6r9lsJjo6mg0bNqQQbDSZTFLELAhZJD4+niNHjmjNR2pPQfLe27ZtG4MHDzY0NeRXlD10d3cnLCyMatWqacN29OIoJpOJixcvGnwykEZwQcgOesFGNzc3li5dyqhRowDype3QJ+ICAgLo3r07n3/+Oa+99pom2KYXptbbRv3QPvUe9W+TyaQVByj/rEePHgwdOlQTbLTZbCLCJAi5gDpXuLu706ZNGwIDA6lUqRJgLDJWDZunTp2ic+fOXL9+3XDGSu/6ZrOZWrVq0atXL5599lntmno7YzKZ2LlzJ2+//TbXrl3Ll3ZREATXUKFCBWbMmEGZMmUMsRPlQ+gH7w4YMEATbJSiIUHIf4SHh2vxWHd3d27evMmqVauIiIjgxIkTmb6e2WzGarWmOBskJSVp5xFBEO5/0svrOMsZly5dGoDatWvTq1cvGjRoABjPGeocExUVxaBBg9i3b1+ufi993rdDhw6MHDnSkDNS391isRAfH68JNkosVhDyL8ouFSlShMjISMqUKUNiYiIWi0WLf9jtds6dO8d7771nEGxUe9lVgziVTWjcuDFly5ZNEVNxtC9iUwQhb9H7CYGBgQwfPhx3d/cUomhms5l9+/bRsmVLg2CjEjJx1RA99fmqVasCaHFgfaOX+CmC4DpU7cZzzz0HJO9BFSfdv39/qp+De+IDZ8+eBZJ9Dx8fH+bPn0/r1q01wUa9zdFTrFgxWrZsSUREBM8995zBr9APtvnpp5+0weMZzeum9T6J9wpC/qBo0aL06NGD7t27AxgE3FQ9mclkShGzcaVgI0CjRo14/vnngWT7Jf6IIGSdlStXMmrUKLZu3cqdO3e0+gz1nHccuql+1teHKUwmE0WLFuWFF15IU7BRvVfldqpWrcrrr79OixYtgOQeH1VPZrVaiYmJYciQIWzbti1b3zc1wcaEhASJmQhCPkQfN+nSpQu9evXShnzr61KtViv79u0zCDaqmIkrfRSz2UzhwoU130SJryjEpghCxnAUic4NbDYbL774InPnztUGezvbm8oX+eabb6hZs6Z2LnIF7u7u1KlTB09PTzw8PMR+CMJ9QHBwMEOGDAHQcsVw77xz/fp1lixZYhBsdDx3uMI/sdvtlClTRhO8d4zliH8iCLmL2teNGzfWBvQqW2GxWNi7dy/jxo3T3puQkIDNZmPDhg2GXrqAgABq166t7eWsUKpUKTp16kTt2rW1/BOg5X5OnTrFlStXAGS+iSDcp1SsWJEuXbrw4osv4unpqc1iUn/HxsYCxjkrrhZsBChSpAgdOnQAjPluye0IgmvRD+9+7rnncHNzM/ghMTExzJs3j6ioKNzd3bW4TFJSEj4+PgQHBzN79mw+/PBDGjRogIeHh6FvR28n9LNJVF/w5MmTadeuHTNnztTmtam9LX3CgnB/8vTTT/Pyyy8DybVrNpuN6OhofvzxR02sxBVxXrPZTI0aNQgODubhhx/W+nBUjghg6tSp7Nq1K1U/wvF1tU4vLy98fX3x8fHB29vbZd9BEB40MivYGBYWxlNPPZUj+0vt/8cee4xx48bRsGFDfHx8UggaqT49NbME0p7r6JibHj58OG5ubk5nxcbHx/PDDz+kEGzUf2+Qs44gZBS9bVA+hbP9kptxy1q1ajF27FjKli0LYDgzKf8jIiKCyMhITp48menrlytXjn79+tG4cWNNcE3fo6MQmyIImScpKYmhQ4eye/duw7NfL9hYrVo1BgwYQFhYGE2aNNEEG/X2SP/8V1SsWJFmzZqxaNEiRo0aRdOmTQG0mInjTAOALVu2MH/+fLZv3264riMqluvt7c3UqVNp1KiRUz8E4PLly6xcuZJ58+Zpwq+S2xGEnCe34gP65/rKlSs1wUZlR/R2Q28LTp8+zZIlSwgNDdVeF1sgCIIgCKkjXeuCIAjCfYOz5Jt+uFNAQACLFy+mfPnyOSrYOGDAAINgo2o0V4fNevXq0bZt2yzdR4QbBSFvSC+xr7ct/v7+LF68mMcff9ywL7OLuk7lypUZPnw4jRo1wsfHx3AP/WCLJUuWsHDhQiDt4VOZEW6Mi4vTflbicpKEE4Ss4+7uzqBBg+jQoQNFixYFnD/P71fhxvDwcKfCjZBs0xwHf4LYEkHILAsWLDAINqp99c033+Rr4UaFsgt16tRh+PDhfP3117Rt25bKlSsD9/wbVeSsRBktFos2rEv9rAqyk5KSKFKkCI0aNWLu3Lm888472vBfx8FfgiC4lvSEG9XvsyPcCIhwoyAIaZKacKP+nJGUlERYWBg//PCD5mNIM5Qg5B/mzp2rDZJRsUiLxcLdu3ezLNxos9mIj4/XBuXBPX+hUKFCeHt7awNtxBYIwv1LeoKNgCGvExkZqeWMVfygZs2aGRZu3Lt3b65+v4wINzo2V0ksVhDyNxkVboyKitLe72rBRoXdbsfDw4PHH38cSBZFkoFXgpA/yahwo8lk4tSpU0CyHcktgaTq1atTvXp1wwBP/TpAbIogpEd26kDr1KlD5cqVtTip2oeLFy/mxx9/dPqZX3/9lfXr1wPJe9XLy4uZM2dSvXp1w3rSshdJSUl4eXnxxRdf0KZNG8OAb33d24YNG9iyZUuWv6MgCPmTokWL8vrrr9OtWzcgeaiEXlRF1YEof2ThwoUuE2xUtqtBgwb4+vpisVjEHxGEbBAREcGIESP4999/td4cJQightMAFC9enBIlSlC6dGlKliyJ1WpN0eeiPlO/fn1atmyZofunJ9yo8sAqtptd4ca0BBtBBGAFIb+SEeFGVVOm4ha5FTNRNqx69er4+PhoNbMgNkUQMsO5c+cAcq3+S28H7t69a/B79PUo6u8aNWpQuHBhgGz1MmeEjh07Ur9+feLi4gCYOXOm2A9ByOekJdwYHR0NoNW1geuFkZSdeOqppwBj3YzEUAQh76hatSqDBg0CjIJlAN9//z3Lli0D0IQAbty4ASSfdZ577jmqVauW7XU88cQTdO3a1SDiBvfOUhcuXCAiIkL7tyAI9ydKuLFVq1aacKOKsSq748wvcWVuB+DJJ5/E399fy3VL3EQQcge1n1u0aEGRIkW0+SGq///ixYt8+eWXxMXFaXtP7x9YLBY6duzIhAkTmD9/Pv/73/8oUaKEli/W9/8r8TZVT2KxWIiKimLOnDkEBwczatQoVq1aZTg3CYJw/6HmDah6MbWfV65cqdWpuepZ7unpSYMGDWjXrh1+fn6GHJGaITlr1izOnz+foes5E0Vy9pogCClJr/9Pn6d11VxH1atTpkwZRowYQbNmzfDz8zPkefT+yoYNG5gxY4bhs6ldN6PCjXpxJqk7EYSso98fkZGR9O7dm2nTphEZGcmpU6e4ePGi9l51/lD7VF/L6gpyQ7ixb9++ToUbQfI6gpAVbDYb06ZN4/vvvzeINOp/btq0KZ988gmvvfYaAQEBhjpYZ3vL8TUlrPjyyy8zY8YMhg4dysMPP6zdQz/TQJ2Zdu7cSWRkJPv27Utz/SLcKAh5i9pD8fHxQO7UsjkKNo4YMQIwzldxtEMi3CgIgiAIWUOqoQRBEIT7gtSGb+qTb5GRkZQrVy7HBRu3bNmiXU81msO9QFfDhg356quvtM9lhawIN7799tv89ddfUtgsCFkgI4N9HRP7yra4as898cQTDBw4kAYNGuDl5WUYrqcPzq1evZqff/453etlVLjRcTiOJOEEIXvYbDYKFChAz549eemllx444UY3Nzenwo2OCQOxJYKQdXbv3s3kyZOBZMFGhRJufO+994D8K9zoOIy3TJkyfPTRR8yZM4fRo0fzyiuvUKhQIW2gsM1mIzExUWvuSkxM1L53jRo1aNWqFbNmzWLMmDE0bNjQcC+xKYKQ+6Qn3Kh8A71wY6dOnTIs3AjJ/pIINwqCkBrOhBtV46aKtR4+fJiQkBBtKLkINwpC/kENfdL78yr3cvfuXVauXJlp4UZlAxxfi42N5dChQ5p/4azwWSE2QhDyL9kRbNQLOJtMplSFG/XnmKioKAYPHpxug0NOkxHhRoWyWRKLFYT8jaNwY+nSpbV6FH3DtzMhVleKq5lMJjw9PWnfvj2AiMAKwn1AesKNYKwBUYP1csOmABQoUIBKlSppTapSfyIImUPty4sXL7J582Zt72SUhx9+mCeffFKzCWqAHsD8+fOdDnq4cOEC8fHx2nAYq9VKv379qFu3LpDxgbsqN2MymZg4cSJNmzbVvo++ef3mzZvs3LkTkBiMIDxoFCtWjBEjRtCwYUPtfKOPxaiYi8Vi4fPPP6dmzZraGSSnUbarZcuWlC1blqSkJPFHBCGLfPXVV4wZMwa497zXCzWaTCZKlSrF4MGD+fzzz1m8eDHLly/n22+/1QY7TJ06lYYNG1KhQgXsdjsJCQlUqFCBUaNGARkXrE5LuFHfM6T8mawKN6Ym2CgxE0G4P3AcjvnGG28YhBv1PTPq59yKwwI0bNiQypUri00RhCwwf/58mjZtysaNGwHX13/ph1atX79eE09Soqv68456/59//smYMWM4fPiwS/ewymtPmTKFypUr8+mnn9KkSRNtHWI/BCH/EhwczODBgwG0XjwwDu+F5PoPV/on6p5t27alevXqQHI8WfwTQcgcOe2TPPvss9SuXTvFtf/55x9Wrlyp5VhiY2O5ffs2VqtVsw/ly5cHMh5vSYu6desybNgwwDg3xWw2c/LkSU08WhCE+5eKFSsSFBRE+/btcXNzM9gc/XNf+SXh4eHUrFnTpXNW6tSpQ+PGjbHb7VgsFvFLBCEXsdlsFCtWjJ49e2qCQ5B8Ttm3bx9Xr17V3qtH2Y+AgABq1qzJjBkzmDRpEi+++CIFCxbUrqPqV/Szk5RNsdlsJCUlabMTOnTowJIlSzh8+LDhXtIzLAj3B127dqV69erantXXsI0ZM4Zdu3a59P4BAQG89NJL1KpVC4vFYhBDATh+/LjWIyR2RRBcQ1r9f4617Y4zY3P6vKHyOSVLlmTQoEE0adIEX19fp/MXExMT2bRpE1u3btU+mxoZEW7U56jVeyVHLAiZR78/wsLC+Pjjj/ntt9+YM2cOH3/8MZ07d6Z9+/b079+f8ePHs3LlSk6cOMH169cB49wBxz2ZU2REuHHRokVZFm4sX748/fr1SyHcKHkdQcgaGzduZPPmzSQmJmr2QN/z8vLLLzN16lTKlSuHu7u79vvM4DgHv3fv3owaNYqGDRtqPpGz2fbbt28nMjKSI0eOpHt9EW4UhNxH1W6cPXuWsWPHsmfPHsC1tWwZEWzUn0X07xfhRkEQBEHIPCa7dL4LgiAI+ZywsDDGjx8PpBRVS0xMdDp8M6voBRv79+/P1q1bDSKNjoKNc+fOTfG5rKJvoFi2bBnh4eEcPXoUwCCI5ObmRnx8PA8//DCrV6/G19dXAuSCkEHSS+yrIQvOBBuzY1syyvHjx5k8eTI///wzCQkJ2lr1BYgdOnRg+PDh+Pj4pHs9/bpnzJjB7NmzUwTTFJLYF4ScQT3Pb9++zRdffMGqVau4cuUKYHyeq33dqFEjpk2bhqenZ67Zmqyi/J2EhASCgoI4cOAAVqtVE10DsSWCkF0uXrzIrFmz+OGHH4iKinK6b+x2O+3atWPcuHEA+d52ONv/ly5d4vbt2+zbt48bN24QFRVFbGwsnp6eFCpUiIoVK1KgQAFq1KihDfQUBCF/ofa2EpePiIjg0KFDgNHnsVgsJCYm8sgjjxAREYG/v3+G7Ja6vs1mY8+ePcybN48dO3Zo13QcRl6/fn0mT55MQEBAvreLgiDkHEeOHGHgwIGcPXtWKwzS2w+z2cxjjz3GW2+9pQkzydlEEPIHv/76K127dgWScz1KeFUVCr/88ssEBgby6KOPpnu96OhoXnvtNU6dOqU1Tip/pHjx4nh5eREQEECNGjUICAjgySefpFSpUlitVh566CGn11RNV6roUM4lgpD3OOaMneV10soZ68UC9u7dy7x58zSBZ73QiDrHFClShOnTp1OjRo1c/Z56m7N06VLGjx9PbGys5us4DhQGicUKQn5H5Vf+/fdfgoKCOH36tPY7Z6KsVquVRYsWUa1aNZf6IXfu3OGDDz5g/fr1mu0DsSmCkFkcYxGuRH+PiIgIJk2alOpgTHWWsVqtLFiwgFq1arlkjer7X7lyhd69e3P48GHxUwQhE+gFG1u3bs2dO3eYPHkyzZs3x83NLcOfv3TpEr169eLYsWOGurACBQrQu3dvAgMD8fb2xmazkZiYyKBBg/jhhx+0uEzhwoX57LPPeOaZZ7L0PfRnsKCgIPbs2aPlc1S8x2w2ExERoQ0DFwTh/kZfA7d+/XqGDh2a5vuLFCnCm2++SdOmTSlcuLDL1qXszokTJ+jQoQN3795l5syZImYiCJlgyZIlfPjhh8C9OKzdbteG0lSpUoUXXniBtm3bpppfUcTGxhIXF0d4eDh//PEHLVq04OWXXzYMgsgo+r37xx9/sGDBAjZs2AAkx3bVehMTE/Hy8iIkJIRGjRqle+3UBBtVHb8MuRKE+wd93GPlypVMmDCBW7duab/X54ngns349ttvqVChgsviOuqstHfvXoYOHar1FIDYFEFID33PH9zriWvatCngmj2jv6b+jKOPdTreU8WFvby8aNiwIX369KFixYo5ui49yqbExcXh4eFhOJcJgpB/UfYlIiKCMWPGGPwR/f5VeeJly5ZRqVIll9bDJyQkMGfOHObOnYvVaiU2NhYQ/0QQMktOzBbRExERwYQJEwyDNVXfTPPmzenXrx9Fixbl1Vdf5fz581qd22effcbzzz+f7furfX/06FEGDBjAuXPntNdVPCcyMpJq1apl+16CIOQNev/iyy+/ZMqUKSneoxer14tPu3pN//zzD++8844mpCS5HUHIXfbv30+fPn24desWFovF4If06NGDd955J83PO+7THTt2sH//fhYsWEBCQoLmN+l7fZStUXkelePx9PTEw8ODrl27UqVKFa0f0Nl9BEHIP6hn+ooVK5g8eTLXrl3T9quqUa9ZsyajRo1yaQwV4K+//iI4OJirV68ahOJsNhtPP/00ixcvlh5BQXAB+XWuo1rXhQsXmDx5Mj/88AOxsbFO5zq2bNmS999/n0KFCqXrd+jzy4sWLWLixIkkJCSk6P2TuhNByBqp2RQPDw9D7lY959We8/DwoGDBgtSqVYuHHnqIhg0bUrhwYUqWLImvr6/T+2Slls2RPXv2MGrUKM6cOaOtDTD06nXp0oVOnTplaGaCI6dOnWL27Nl8//333LlzR3tdbIogZJzo6GhGjhzJxo0bgXs9d8oPsNvtvPTSS0ycOBHIuf2k9xcOHTrEunXrCAsLIz4+3hAnUf02AJ06dWLEiBFaTUhq61A+VHR0NEOHDmXbtm1OZ9wCFCtWjJdffplevXppArByJhKEjKMXbHz11Ve5desWL774IoGBgVp/XE4/h1MTbNTXsamfPT09mTJlCl988QV//PFHqragXLlydOzYkW7duuVaL7QgCIIg3E+IaKMgCIKQr1m4cCGffPIJYBzcqx5ffn5+bNmyhYIFC2a7uDkvBRsV6Qk3WiwW7YA8ffp0mjVrliP3FYT/Aukl9tXPeSXYqDh8+DAjR47k4MGDhqID/VCJkJAQWrRokaHrZUS4UQbmCULO8l8VbtT7KWJLBCHzqL1y+fJlZs+ezcaNG7lx48YDIdwIxiaKzNoEsSOCYMRxT+SVDciscGOlSpVYsGABhQoVEuFGQRByDBFuFIT7l19++YVu3boBOC0szoxw4927d3n11Vc5deoUgEF0TR9XVZhMJry9vfHz86NChQoUKFCAypUrU6ZMGfz9/XniiSewWCx4enoaPucY05EiREHIPZwJNqqfMyLYqEhPuFGdM/K7cKM0bArC/YXdbicxMRE3Nze+/vprPvjggxTN2AqTyUTfvn0ZOHAg4Pq4z6pVq5g4cSLXrl0DxKYIQlY4ceKEdmbJjXNCQkKCJuQ2cuRIli9fbqj/AOOQ388//5zGjRsTHx+Pu7u7y9YVGxvL3LlzWbx4MTdu3ADEpghCeiibceHCBTp16sTly5cB8PLy4sMPP6Rly5YZEm4EiImJYdasWSxcuBCbzaYN9LXZbJQoUYJx48ZRt25d7f0dO3bkwIED2vmoQ4cOfPzxx9n6Pqqe5MSJE/Tv359Tp06lGDqhhvlJHkcQ7m9SEzNRdf569H5KiRIl6NixI+3bt8ff399l/oGyr1u3bsXNzY2GDRumWLcgCM5ZvXo1I0eO1J7resHGpk2b0r9/f8qWLYuHh0ea5x/H/Xbp0iUKFiyIt7d3lteWlnCjvt4+M8KNqQk2KlsmcVhByB7Hjh3joYceolChQrlyP7vdrg333rp1K/3799d+p69dVfGTxx57jLVr1wLGeIsruHbtGrNnzyY8PBwQ4QFBSI/w8HCtRt7Ly4uYmBjAdcKNaQk2OvoFyo6o3zkKN/bt25cKFSrkyLoEQch5VK4kt56/Kk5rMpk0++Io2qhfS5MmTZgxY4Y2aNiVMdRr167xxhtvaLX/cuYRhIwxZ84c/vzzTz7//HMgZ2aM6Pfc8OHDWbVqlRZzUfYA4JVXXqFjx44MGTKEf/75B7hXbztnzhyDmFFOMGTIEDZs2KDZKavVislk4vPPP8/xewmCkDukdu5Rdfb6fI7a+4UKFWL48OE0a9YsW7HdjJCYmMjatWuZOXMmb731Fs2bN0+xbkEQXMvkyZOZP38+cM8HUX095cuXZ+rUqVSqVCndazieY/766y9++OEH1q5dq4mX6HHc3+r8pPwfb29v6tWrR5s2bahWrRpFixbV3iv9PIKQP7l06RLDhg1j3759hviq3W7Hy8uLNm3a0Lt3b0qWLOmS+yvfQZ8nUn1Cyj598sknvPjii+JnCEIOkl8FGx3Xd+7cOUaOHMmePXsMdW76/uP333+fzp07Z+i6GRFulLmOgpA9HG2Kys9C8j4ym83as96xflXVv1WoUIFSpUpRvnx5ateuTcGCBXnqqacM71XXy6ptSk+40WQyERgYSOfOnXnkkUcyff3Tp08zd+5cVq1ahc1mk7oTQcgk+joUi8WiPavtdjvPP/8806dPx93dPcf9E/3+vHTpEqtXr+bzzz8nLi7O4I/ofx45ciRdu3ZN8XlHRLhREFyP2itnzpyhc+fOXL16FbiXo23WrBlBQUE888wzQM49j1MTbNTbCb1g48KFC6lWrRqnT59m6NChHDx4UIQbBUEQBCELyBNREARByLecO3eO1atXA8nNB47Ex8cTHR2tvSer6IuiBwwYYBBs1CfdXSnYCGiBf4D27dsTFBTEE088Adz7fvrkmxJsFP1lQUiftBL7jg2UAQEBeSbYCFCxYkXee+89fHx8tKHigNZADjBp0iROnDiRoevpiwIGDhxI3759DTZVEvuCkPOo53mBAgXo3bs3L730klYErBouAU1QZNu2bQwePJjY2FinQgL5CWU33dzcCA8Pp1q1aiQmJuLu7i62RBCyiXo+FytWjL59+9K8eXMKFSrk1N83mUx8++23vPfeewD53nZA8nnNmU1QhZaAQYTN8bOCIBifrX/99ReQUsAwt1B2y93dnTZt2hAYGKg1X+l9HnWWOXToEP369ePWrVsZWrO6vtlsplatWvTq1Ytnn31Wu6Y+4W8ymdi9ezcDBgzg2rVrMuhXEP5DVKhQgRkzZlCmTBmtIEhvP2w2G8ePH2fKlCmaIFNqsWZBEHKX2rVrExoaCqDFQdXwX1UgvGrVKiIiItKNhdrtduLj4w3/VnFfZRcsFgsWi0X7+e7du1y4cIEffviB1atX88knn9CvXz+6detG27ZteeWVV3jnnXf47LPPWLlyJSdPnuTChQvaPZwVHyr/Rg0wFgQhZ/jnn39YuXKl9m+1xzIr2AjGgXc1a9akV69e2iAp/TlDnWOioqIYNGgQ+/btc+l3dESfM+7QoQMjR47E09MTm80meR1BuM9Qe9PNzY01a9bwwQcfaK8rHGOn69ev1+yeq+I+6v4vvfQSL730EiA2RRCywsKFC2nVqhXffPMNYHyGuwI1vAFg48aNLF++PMV79HEPu91OeHg4V65c0ZpHXYWnpyft27enXLlygNgUQUgPZ4KNbm5uWK1WYmJiGDt2LOvWrdN8//Tw8vLi5Zdfxt/fXzsX2e12LBYLFy5c4OOPP9biGlevXuXKlSsA2vlJDX/Ijp1QdW0lS5akVatWuLu7a+tQ1929e7fhvoIg3H+kJWaihvqqOCzc84/UcM0LFy6wZMkSvvnmG27cuOGyfI2K7/zf//2fCDYKQibYv38/8+bNIzExURvWoGKxL730ElOmTOGJJ57Aw8MDcJ4nUTgKyxcvXjzbQ731NqNq1aq8/vrrtGjRAsBQb6/6e2JiYhgyZAjbtm1zej0RbBQE1/Lll1/SuXNnNm7cyK1bt1x+P7U3rVYra9euNQziVb/X/22xWDh+/DgdOnQgLi7OsP9dQUBAAO3ataNWrVoyOE8Q0iEsLEwblKee6SomOnDgQDZv3gzkXP1XWmechIQEQ17aarXy5ptvav9WcQ+z2UxMTAzbt29n9uzZHDlyJNvrEgQh51m+fDnz58/n5s2buVJDquyDXrARUj9L2e129u/fz0cffcTly5c1G+MKbDYbAQEBhISE4Ofnx9SpU+XMIwgZYNGiRUybNo3vvvvO6XDMrKIXJnr//fepW7euFpNRvgjcs2PLly8nICDAUA97+/ZtwHk/XmZR66hXrx6Adg+bzUZCQgJHjx7N9j0EQch90jr36Pv/IDm2a7VauXHjBhMmTGDz5s3ExMS4dI1Wq5UmTZqwYMECEWwUhFxG+RDPP/88JUqU0M4s6vXTp0/z559/AunPN9PXgtjtdp566in69u3Lpk2baNu2reZbOOaR1M+qvkRdJzY2lq1btzJ69GiCgoJYvnw5f/zxB0CKdQqCkPfY7XaKFy/OsGHDtDmJaj+rGOqmTZtYt24d169fd8kalH1p0KABnTp1ApLPOUlJSSQmJrJ//37DewVByB7pzXXMa8FGSM4plS5dmg8//JCiRYtqtSUq7qHiLzNmzND8jfTQ9w106dKF4cOHG85Z0v8nCNlj8+bNmk1xd3c3CDZC8t5WsVT1zDebzdofuOcDHDp0iM2bNzN37lyCg4Pp3Lkzr732Gr1792bhwoVs376d8+fPA87PPWqvp3UmqlWrFmPGjKFs2bKG96o+ZbvdzqJFi4iMjOTkyZOZ/v8oV64cvXr1onnz5syePVvqTgQhExw/fpzIyEjgno+iz8FUrlyZvn374u7urvXf5CT6/Vm8eHE6dOjAO++8g4eHh2GWvf7n8ePH8/3336f4vCNq5qS3tzdTp06lUaNGTmfcAly+fJmVK1cyb9487ty54/L+R0F4UDCbzZw+fZquXbty9epV3NzctJ7/TZs2ER4ebogzZLfGIz3BRv05w9PTk7CwMKpVq0Z8fDzlypVj+vTpVK5cOVVbcPr0aZYsWUJoaKhhLpsgCIIgCGCyy7RAQRAEIR+zefNmFi9ezK5duwCjGIk6NHp7exMREUGlSpWylIhzFGzcsmWLQSQttwQb9agmcIBly5axePFiDh48CCANmoKQSTIi2JjXiX1n692yZQsDBgwAjMM4TSYTnp6eDBs2jMDAwAyvU/++GTNmMHv2bBkoIQiZwHFfZMQPUM/zO3fu8MUXX7Bq1SouX74MoA21AbQCnkaNGhESEoKXl1ee2aCMor5/QkICr7/+Onv37gXETxGEnEDtncuXLzN79mw2btyoDatz9t527dppwynyu+0QBCF7OJ5tPv30U958802Cg4MBYywhL9YVHx/P6tWriYiI4NChQ4DR5zGbzSQlJfF///d/TJo0CR8fnwytWV3fZrOxZ88e5s2bx44dO4Dks5L+bBMREUGNGjVc+I0FQciPHDlyhIEDB3L27FmtMEhvP8xmM4899hhvvfWWJswkZxZByB/88ssvdOvWDTAWCyrfwcfHh5deeonAwEAeffRRp9eIjY2lffv2HD9+XHtN7XF9/MWxNEL5IaqIWg0ihpTN2x4eHphMJipUqMBDDz1E+fLlqVy5Mt7e3lSoUAEfHx98fX1T2BVlg5QYnNgdQcga27dvZ+HChfz6668kJSXh4eFBXFxcpgQb9ehtxN69e5k3b54m8KzPySjbUKRIEaZPn57rZw3HnPHEiRO5c+cOIHkdQbgfSG/Qr6N/ohocTCYTpUuXpn///rRp0wZwTdxHf83Dhw9TsWLFFOsWBCF19PUnFouFsWPH0rZtW8A1ezYtm6KGWij0YrA2m40aNWowY8YMChcu7LJcklrfsWPHiIqKom7duinWLQjCPVITbFR72dPTk9jYWADWrFnD448/nu411V7bvn07ffv2xWazaWcbda6pVKkSYWFh+Pj4UL9+fa5fv67dd+HChdSuXTvH9uzhw4fp1KkTMTExWqzWYrHg6enJokWLNL9DEIT7i/TOOPqf9Q3cjgMuSpYsSceOHWnfvj2FChUSf0EQ8gH//vsvs2fP5ptvviE+Ph6r1UpSUhJ2u53WrVszefJkIH/49/o1/PHHHyxYsIANGzYAxt4A9bOXlxchISE0atRIu4YINgqCawkLC2P8+PEAlClThl69etGsWTMKFizokvtlJA6rf59eXDoxMZGnn36a8PBwbcifq/oEAW7fvk2BAgVSrFsQhHskJSURGhrKpEmTADSfRP2sns8zZsygadOmQPb2UmbOOFarldDQUGrUqMGaNWsYMWKENmBTCdjbbDa8vLxo2LAhffv2pUKFCln/zxAEIUdR/knx4sXp3r07bdu2xc/Pz2XP44zYF0g5ZNNut+Pv70/z5s3p06cPxYoVc9kaVb7o1q1bFCxY0FBjJwhCSlasWMG7774LJO9lfcwkJ84Sar/v2bOHcePGcfjwYe0Mo84velTNSf/+/TXh+pzit99+o1OnTinq8QcOHEi/fv1y9F6CILiWjPgl+vp9ldfV55n9/Px49913adasGV5eXi5fp7N/C4LgehISEujXrx8//fRTCjtQvHhxwsPDKV26dKauqc4dly5domPHjly6dEnb2+raCnVP/dlE2SXVj2O1WvHz86NVq1Y0adKEp59+Gg8PD+0aYjsEIfPExsbi6emZY9dT+zAiIoLx48drdkDfW/fQQw8xePBgWrRogbe3d47d25FNmzbx7rvvEhMTo9mUpKQkihYtyqJFiyhTpozL7i0I/xX0z159jthZfic/zHVUtmjv3r306NGD+Ph4baatshNubm68+eab9O7dO8Pr1PcNLFq0iIkTJ2K32zVfR+pOBCFr/Pjjj3zxxRfaXEP9fk1rboB6Tf+3/myhzh2OIkV+fn6UK1eOEiVKUK9ePfz9/alWrRre3t4pfJa07MOvv/7K6NGjOXPmjLYetX5lF7p06UKnTp1SnZmQFtHR0dp6xKYIQtqoZ/T69esZOXIksbGxhj2ZlJREcHAwffr0ydFzUXrcunWLb7/9lmnTphEXF2eIzypbUatWLT7++GPKly+f7vWUTYqOjmbo0KFs27bN6YxbgJIlS9K0aVPefPNNfH19Xfo9BeF+x263Ex0dzXPPPUd0dDReXl5ajEE/P6hZs2YEBQXxzDPPaJ/LyvM5PcFGIIVgY9WqVQ0xF4vFwrlz5xg0aBAHDx5M1RaUK1eOjh070q1bN8NcNkEQBEH4LyNPQkEQBCFfog51TZs2JTAwkP/973+AMUidmJiIm5sb0dHRBAYGcvjwYYOoY0bIj4KNgCGQ3759e9q3b0/58uWZMWOGCCEJQiZR+2ThwoUpBBtVMi0hIYHChQuzbNmyPE3s69fbpEkTevfuDZDCrkVHR/Ptt9+SkJCQ4XXq7ePAgQN58803tWLqmTNnSmJfENJAvy+2bdumNV2n53Oo57mvry+9e/fmpZdeolixYgDa0F11fbPZzLZt2xgyZAgxMTGZ9mlyG2VH3dzc+Oqrr6hcuTJTpkwRP0UQcgBV6FOsWDH69u1L8+bNtSF1zt777bff8t577wHke9shCELWcSxanjBhAvHx8SxevJh58+YBpCgKzC2U3XJ3d6dNmzZ06dJFG7ar93nU2n7++WdmzJhBbGysIbGf3vXNZjO1atWiV69ePPvss8C9s5K7u7thWJ4INgrCf5MKFSowY8YMypQpoxUEORZQHz9+nClTpmiCTM4KsQVByH1q165NaGgoYMy9qCbvu3fvsnLlSiIiIjhx4oTTa5jN5hSCiHqRElUgqOLBev9ENVioQkW73a7ZEIvFgslk0uJAsbGx/PHHH2zdupV58+YxZMgQgoOD6dixI6+88go9e/ZkwoQJzJkzh19++YVjx44RHR0NoF1LEITMoZ7VDRs25PXXX+eZZ57RBBsLFy6cJcFGMDZf1axZk169emnCzqpI2m63awMeoqKiGDRoEPv27XPJ90wNx5zx0KFDMZvN0rApCPcB6YmrAQa7ZbVaDQL0586dY+bMmaxevRpwTdxHNWIAItgoCJlEL9jo4eFBUlIS7777LitXrgTI8SaljNgUdZbSn4WUXdm3bx8DBw7k2rVrLsslqXjM448/LoKNgpAGaQk2wr29rAQb+/fvnyHBRkje87Vr16Z79+7ac14Nm7JarRw6dIh+/foRHR3NE088AaAJRao8S07sWbvdTsWKFWndurWhLiYxMZE7d+5w8uTJbN9DEITcJz1/RA2tUnV1M2bM0IZ3JyYmavFbk8nEP//8w5IlS1i2bBk3btyQfI0g5CEq1nD06FHWrl2bQrCxSZMmfPzxxwCab5HX6G1G1apVef3112nRogWQnGfS+0AxMTEMGTKEbdu2Acnx3927dxsEG/UDykWwURCyTmhoqDaM093dnbNnzzJ79mw2btzIzZs3c/x+GfFRVOzVsYbNZrNhtVr5/fffCQoK0mygoxBKTqIEG0EEkQTBGRaLhcDAQN5//31MJhOJiYkp+ojhXk/c5s2bgazXf2Uk5upMsDEpKUkTaFLD8iwWixaLjYmJYfv27cyePZsjR45k+/9EEITso/dPLl26REREBN9++y03b950SUwio4Kw6r1KGAnu2bTr16+zceNG5s6dy5UrV1wWN1H31Atri38iCKnj7e2NyWTC3d1dy/WsWbOGt99+GyBHzhJqDz711FN07NiRUqVKaXZCxTP0Io7q/ceOHdPelxPYbDZDPS0k57/1ZxpBEPI/6fklKrej4qqNGjXCy8tLsznq9Zs3bzJhwgQ2bdpETEyMS9bq6IeIXyIIuYvNZsPNzY0BAwZQuHBhrbZML/a+e/du7b0ZvabFYuHkyZOaYKOqb1O+k7e3t1YXo/p6VJ4Hkn0RtY7ExESuXr1KWFgYb731Fj179mTHjh0pxFAEQcgYy5YtY9asWfz77785dk21D59//nnatGljqGFTduHff//l888/5+effyY+Pj7H7u1Is2bNaNSokeFcZTKZuHHjBjdu3HDZfQXhv4Ta8wsWLDAINqq6VFWbGhAQwPLly/N8rqPq1alZsyYDBgzQ6mP0PkRcXJxW05bRdep7fbp06cKIESO02IrMdRSErFO/fn3efPNN6tSpAySfC5yJNDr27zj286vzhvpb32ujzil37tzh999/Z8OGDYwePZr+/fvTuXNnXnvtNd5//30WLVrEzp07uXv3rpbv0aP2/f/+9z8+/vhjypYta/i9qmWDewKvixcvzlJNvV5AUmyKIKSNquEIDQ0lNjbWkJNNTEykePHidO7cOVcFG+FefrZ169a8/vrrWnxWP/ce4PDhw/z111+G11JD9Ql6e3szdepUGjVq5HTGrdVq5Z9//mHlypVcunTJhd9QEB4MTCYTPj4+jBo1CoCYmBit1kPFOGw2G5s2bSI8PJz9+/drn8ts3ja7go2QbAtKly7N9OnTqVy5slNbAHD69GmWLFlCaGioUzFrQRAEQfgvIqKNgiAIQr5Ef8hs0qQJXbt2dSrcmJCQoAk3du7cOVPCjfrhv/379zcINqoDsLpfbgo2KvSH1k6dOvHll1/StGlTQJJvgpBZtm3bxieffALca/5WNkLZGZPJROvWrSlVqlSerdERk8lE48aNqVy5spYU1DdiHTx4kMjISIAMB+X09rF///4EBwfz2WeficiaIKSBo0BSnz59GDRokCaa+iALN6ZnW1Qg393dnW+//ZYXX3xRs1NiSwQhe4hwoyAIjuj9EX3R8qVLlwgNDc1Xwo2tW7emU6dOhoYpvW8QExPDli1bWL16dYaH+qUl3BgXFwekHJYnCMJ/DxFuFIT7F0fhRtU4oXI10dHRaQo3JiQkEBsbqzVMAIZ4qnpd/VGFxY7Da/QiboA2lDgpKUnzNRP4dwABAABJREFUW9Qfq9Wq5ZH+/fdfzp07x86dOwkNDWXatGn06tWL1q1b06ZNG3r27EmfPn1YuHCh5rsIgpAx9M/qBg0aEBwcTPny5SlSpAiLFi3KkmCj47VTE25Utig/CTd27tyZLVu2SMOmIORz0ht4pcQAVO1JsWLFUgz1zS3hRkf7KTZFENJHL9hotVq1gf4AI0aMYN26dTl6v4zYFJW3tVgshkb03BZudGx2F5siCEbSE2xUA+YAhg4dSv/+/bXPZQSTyYSnpyfNmzenbt26WowUkgc97Nmzh169enH9+nUged/mpE1Qe7906dKGIcHKVqp7C4Jw/5BRf0SJmYSFhdGkSRM6dOhAt27dABFuFIT8itls5vr163zyySfcunXLINhYpUoVBg0ahJeXF5AyhpCXpCfcqGIrKvaihBu/++47LBYLu3fv5vXXXzfEaFTuRwQbBSHrREREaDET5SdYLBYuXLjAnDlz2LRpU44KN2bWR+natSsPP/yw4ayUF8KNgiCkjYeHB+3atWPUqFEG4Ub1bM8J4cb0BBv1os6Ogo3KJ2rZsiWTJk0S4UZByOeEh4cb/BOTycS5c+dYvHixS4QbMyrYqOzLa6+9BmAYxKmEGzds2MCcOXNcKtyoR848gpA2xYsXx2KxEB8fr9Wnu0K4EcDLy4sWLVrw4osvUrhwYW3/6//W18pu27aNv//+O8f2sdls1vJH+lpauDefQRCE+4OMCDbq4yZLlizh448/plWrVnh6emrnH5Vnzg3hRkEQMkdOxjDVs79YsWKUK1cOwDB/LTo6mm+//VYTdU3vfKLqY06ePEmPHj00wUZlUxISEihUqBCRkZGEhYXRs2dPKlWqZPheKq+sv6bJZNLWFRUVxZ49exg8eDBvvvkmc+bM0cQMBEFIn9DQUEaPHs2yZcv45ptviIqKytHrlyhRgtatW/P0008b+nxVXubChQt88skn7Nq1yyU5GXWGqVevHmazWbMd6lz3xx9/ADKLQBBygp07dzJx4kTg3nlD7T/9c7xhw4Y8/PDDQN7vO7Wu5557jipVqgDGPmSr1cq5c+eIiIgwxF/SQ9/rExgYyIgRI5g5c6bMdRSELKLmrP7vf/8jODg4hXAjJOeIVbxU9eepfmB9HFfFQdTn1D1sNptmt/RnDnWP8+fPc+zYMZYuXcrYsWPp2bMnrVq1omPHjkyZMoWwsDAOHz5MVFSUod6/du3afPzxx5QpU8ZQS+8o3BgZGZkl4UZBENJH7btLly5x+fJlTVxN39vSrVs3ihYtmiezGosUKULr1q1p3rx5ih4/i8XC7du3+eyzz7h+/XqGanfTE27U9yp9+OGHPPbYY675YoLwAKHsxSuvvMKUKVMAtJyK8jdyQrgxJwQbFSLcKAiCIAhZR0QbBUEQhHyHPumWnnCjar7KrHCjo2Dj1q1bDSKN+mE0rhJszMgBWn9oLVmypPa6JN8EIXMULlyYxo0b4+vrS3x8fIoCPbvdTnh4OLNnzwbQgl95TbVq1WjYsKGW3FNrVms7fPgwkDmboLePQ4YMkYESgpAGjoKNSiDp+++/Z9iwYQ+0cKNa159//smZM2dSfZ9jMYKjfRUEIeuIcKMgCI6Eh4cbBBvVuSAqKirfCTe2bduWV199ldKlSwPJZxgVb7lw4QJr167l9OnTht9n5PpKuLF3797UrFkTkGF5giAkI8KNgnD/4ijcqIoVMyLcaDabtcF8iqSkJCpWrMicOXMYNGgQjRo14plnnsHd3V0b5qcfYmO1WrXmC9VopeIczobd6IUc9b6OaspQr129epUdO3awbds2Hn74YTw8PFz6/ygIDyL6ffjss88yfPhwvvnmm2wJNjpeOy3hRvVzfhFuLFGiBCBnH0HIr2Rk4JV+EOfKlSvZvn07pUuXzjPhRkEQMo6jYKPjYIkCBQpQuXLlHLtfesPDHW3KihUrGD9+PO7u7pqt0MdF9u7d63LhRkEQnJNZwcbevXsbPpcZqlatSrt27bS6FMeBun/++SdHjx41/O7YsWNAzgz1U/anatWquLm5pai3PX/+vOF9giDkbzIrNhAaGsozzzyD3W6nePHivPHGG3Tv3h0Q4UZByG+oZ/HmzZu5ePGidsYxm80UKFCA5s2bU7Zs2TxeZeqkJdyoj+3qhRvffvtt5s6daxBsVLZMBBsFIftcuXIFi8Vi2E8q15vTwo2ZjcNGRkby7rvv8vrrr1O0aFERbhSEfI6HhwevvvqqQbhR1ZDkhHCjsh9r1qxJEXNVPzsKNip7pqdVq1YZEm5UcRhBEHKXLVu2MG7cOOCeyJjKq7hKuDErMZSPPvqIwYMHA/lDuFEQhNQpX7485cqV03I2rhRutNvt+Pn50aVLFxo1aoSvr69h/+t7ka1WK3FxcSxYsIBr165l676QnEs6e/YskNz/Y7FYMJvNFC9ePNv3EIT/OmqfqfONQl/Xnl0y4pfoBRsXLlzIU089xUMPPUSXLl1o3bq1JtxoNptFuFEQ8hk7d+4EjLVrOUWxYsUIDAwEjOKJFouFAwcOEBERob2WGhkVbIyIiKBixYr4+/vz1ltvMWXKFCZPnsyjjz5KoUKFDP2AKuairq9/PTY2luPHjzNt2jTNxgmCkDarVq3S6mCvX7/OkiVL+Prrr3NMuFHt13r16tGpU6cUQm3KHpw/f56xY8eyZ8+eHLdnKsZSvXp1vLy8NJum7vPPP/8AMsNREHKCEiVK8OKLL1KoUCEtT6vv1TOZTFp9O7jGh8kKFStWpHnz5kDKmbMAhw4d0urcMoq+16d79+4i2CgI2UAvMpaecCPcsy3lypVj+PDhjB49mvbt21O2bFkKFy5MUlKSYaaAOl+omKd+jzrODlC/0wtAX7p0icOHD/Pll18yfvx4unTpQtu2benTpw8TJ04kLCyMo0ePUq1aNT799FMee+wx3NzcNPFGEW4UhNxB7esff/yRS5cuGXrs1KyQChUqAGRrRkF2ePTRR3nllVd45JFHAAw5KKvVytmzZwkNDc2wkHRqwo36uPDMmTNp1qwZkPdi2oKQ39HXaLz44osG4UY3NzdMJlO2hRszK9gYHh6eqmCjQoQbBUEQBCFriGijIAiCkC9YunQpISEhgFEsLT3hRhXsVofWjAg36oUXBwwYkEKwUf+zqwQb1YH12LFjnDp1Ks33ZnbojiAIKalSpQoDBw6kXr16eHl5aXtQBY5UwfDMmTO1PZ/XASN17759+1KtWjXDYHB9g+iff/6Z6Ws7Sw5IYl8QUqL2RWhoqKH4x2w2s3nz5gdWuFEF4n/99Vfat29P7969tUYrQRByFxFuFARBcf36dVasWAEkn1/0CfD8KNz42muv0bJlS/z9/bXf69f866+/EhYWpq03I8U8+jNczZo1efPNN4mMjJRheYIgGBDhRkG4f3Em3AjJwzxTE260WCx4enpisVhSxH0bNWpE3759mTVrFhEREaxYsYKvv/6a9957jw4dOlC7dm18fX3x9vbWfCx1llI+isViSXFtfbxWoRd0VIMC4+LiAPj888+1ImZBEDKP/lldt25dihcv7nQwZnaunZpwo7IF+UG4Ua1X/7cgCKnj7Hmdlfdk5n7piavpB16Fhoby2GOPAbB48WLKli0rwo2CkI9xFGxUjU9qXwcEBLBs2TJNWDq7ZHaI3oIFC3jiiSdo06YNw4cPF+FGQchH5KZgo/JpWrZsSVBQkHYd/dlJP5xc2YBffvkFIEfqY/UDfBMSEgyDRwH8/PwM7xMEIX+T1hlH/exMzERRtGhRevToQbdu3QARbhSE/IR6Fv/444/cuXNH259JSUkULVqUl19+GXd39zxeZdqkJ9yofJukpCSt1ygkJMQg2KiP14AINgpCdhgyZAgDBgzQBtLoh2jnpHBjRgQbHeOwVatWBSAoKIjevXsbavjV3yLcKAj5i7SEG1UfMWRduFHlXiB5QLASPnJ2xkktjpGecOPPP//MxIkTZdCmIOQBL7zwArVq1QKMoh6uEG7MrKC03r706dNHe78INwpC/sXHxwdvb2/DYFxXCTeqvV6kSBEGDBhAgwYN8PLySrH/9Xme3377jb1792b7DKNs0Pbt24FkoYLExERKlizJ008/na3rC8J/DWfPbf2zPi4uTtu3zsRAslIflhUh6Zo1a2rrqFixIoGBgSLcKAj5lLCwMN544w3eeecdIGfnCOjr9OvXr28QXFL26MCBA2leI6OCjZGRkTz66KMkJSVp137kkUdo3bo18+fPZ8qUKTz33HP4+voCybPgHO2k2WzW7NeMGTOoXr16jvxfCMKDzsGDB4F7MViz2czly5dZunRpjgk36uMXbdq0oWvXrlrcVO1jZRfOnTvH+++/z86dO10ivOrr66vZEr3g0o0bN4Cs+VuCIBgpX748AwcOpFGjRhQoUCDFXEe4t//CwsL45JNPgLyfhaRsVLdu3Xj22WcNr6l1b926ld27d2f62s7ySVJ3IgjZIzXhRv1+S0xM5PTp06xfv562bdsyZswYIiIiWL16NdOnT2fYsGE0adKEkiVLanXsNpvN0G8D92K7zuYIKJulnz2gziixsbH8+++//PzzzyxYsIDx48fTqVMnnnvuOZYtW2YQoVd+kgg3CkLucfHiRcxmc4q5ZjVr1qRu3bp5ti59HOa1114DnAtJ//3335kSknYUbmzcuDHx8fHAvdpYEZUWBOekFh9IS7hRX6OeFeHG1AQb9fMI9IKNYWFhVKlSJUO9hmo9ItwoCIIgCBlHut0FQRCEPCc0NJT333+fyMhIp2Jp6Qk3qqC1GoCblnCjo2Djli1btGS6fjiNqwUbzWYzu3fvpnXr1kyYMIHTp0/nyLUFQUidihUr0rdvX5577jmDcCMkB6ySkpKYMWNGvhBu1Af3n3rqKQDN3ik7YjabuXLlSp6sTxD+Kyxbtkwbvunm5mYQSHoQhRuVffnll1/o3r07AGfOnGHw4MGcOXPG5fcXBCEl96two/KhZGiNIOQM/v7+jB8/njp16hjOCvlVuNFms+Hp6UmvXr20YmUVc1HCRwBff/01q1at0j6XUdT3rlu3Ls8884z2mhQECYKgEOFGQbh/cRRudMzhREdHs2rVKoNwo91uJzY2VovbqL3s6empXUcVJJcvX54qVaoQFBTExx9/zIIFC1i3bh1LlixhzJgxDBgwgGbNmvHoo49qcRslwqj3vaxWawohR/3P+uEWn332Gf/3f/+nrVUQhKzhbNBCTl7bUbixYcOGQHI+Wv2cl8KNgiBkDv0z+tKlS5w4cYJNmzaxcuVKNm/ezA8//MD+/fuJi4sjNjbW8NnMxlTSG3iV1qDfhIQEihQpQmRkJGXKlBHhRkHIhzgKNqrci9rX/v7+REZGUq5cOYPvkFUyK9gYGhpKrVq1tEbKwMBAEW4UhHxCbgo2QnKOBuCNN97Qrqf8C8dzlRom/Oeff7Jr164sf09nqCGd+uHFcC/nJQjC/cXWrVtTCDbqBc+ciZno7U3RokV544030hVuXL58OdeuXZOcryDkIjt27GDbtm1AcqzBw8ODAQMGULhw4Xwde3DWa+Qo3Ogo7qR8H5PJJIKNgpDDqNhCnz596NWrl5anTUu48datW5m+T1ZiJspHUWevwMBAevbsmaZwY5cuXUS4URDyAakJN6pneXaEGx966CG6du1K5cqVSUxM1PygzAg2KlITbnR3d+fWrVtcuXKFhx56KPv/IYIgZBj1/A4PD6du3bqGWEROCzem5Z+odTjzT5KSkrTP9e7dmyFDhmhrF+FGQchfKH/Ax8cHSK5FUQJGrhRuLF68OG+99Rb16tXDw8MjhYAAoOWhPv/8c44cOZLleyr279/PwYMHNVupbFKlSpW02QyCIGQMk8lEfHw8cXFxbNy4kYiICIYNG0bnzp1p2bIlzZs3p2nTprz88st069aNCRMmsGDBAo4fP87NmzcNZ5GMPv/T8kvSEpLWz1LKjHCjY82dIAiuIzQ0lPHjxwOwevVq3n33XSDn5ggo++Hv70/VqlUNfofetqgYjCOZEWx85JFHtBo7R1tXvHhx6tevz7x585gwYQI9evTAarVqeSzlmzj26zRt2lS7hiAIadO6dWvc3d0Ns5NcIdyozg7du3cnODgYMNbE6YUbP/74Y3766acc9y0KFixIwYIFU8R41drEZghCzlCmTBn69u3L//3f/xmEG/WYTCYWLlyYL4Qb9aJpTz75pLYeSLZTZrOZS5cu5cn6BEFISVrCjXpR6K1btzJ48GBu3LhBkSJFCAgIoFmzZvTq1YuZM2eyZs0aIiMjmTBhAkOGDKFOnTpUrFgRd3d37Ha7YY6Amouk7uE450nZMBVzUXX6FouFmJgYbt26xdKlSzly5Ij2HoUINwqC67Hb7cTFxbF7925sNlsK31/1tOTVmUCf8+3SpQtt27YFkmvwlM346aefWLlyZaaurRdunDJlCvXr12f69OlSGysIqaDOAJcvX+by5cspfp+WcKOqXcuscGNqgo36HLOKqSrBxqpVq2aq11DFU0W4URAEQRAyRs6oTwmCIAhCFtEPtYqJiSE0NJSkpCT69eunHdIcmyGaNGmiff7XX381HE7VoVUJN0ZGRlKxYkWSkpKw2WzagbZ///5s3brVMGAzNwUbf/nlF3r27AnAjz/+iJeXF4MHD6Z8+fI5ch9BEJxTqVIl+vbtC9wLQsfExBgSYXrhRoDg4GCDLcptTCYT7u7utG/fnhUrVnD37l3D7+Lj49m6dSv/93//l2drFIQHmfj4eP7++2/8/Py4efOmlvxWw//1wo2ffvqpJuqY1hBOR+FGgFWrVnH58mVtH+uvr4QbQ0JC8PLyypEhn6nhKNioGsVtNhsHDx7k7bffZuLEieKvCEIe4CjcCLBx40Zu3LjhtFjx22+/BWDcuHFaEt1VtsMZyp7s2LFDO/MVKVIk1+4vCA8idrudihUrMmLECMaNG8dvv/1m8E2Uj6GEGwF69eqVZ+cZvc8zatQojhw5wtGjR7VGK30s57vvvuP555+nQIECGS7qcfY+KQgSBMERJdw4cOBAzp49azhzOQo3AjRo0MAQhxYEIe9Qwo3dunXTcjRqSJ7FYuHu3btagXFgYCCPPvqo06JodQ7S53iUX6Rsgs1m0wZyPvLII9r77ty5w927dzl48CA3b95kz549nDt3jvPnz3PhwgUgufBZ3Vudvzw8PIiLiwNkwK8g3E84Cjcqtm/fbjjDOAo3Tps2zfB+QRDyFvWMj4+PJzY2ltWrV3Po0CG2b99OfHy800HgFStWpHDhwnTq1InSpUtToUIFzWfI6PNbvWfdunUMGzYMSB4KoxcAcDbo12w2k5iYSOHChYmMjKRz586cPXtWi6Mon0UJNwK0adNGO9+If/H/7J13eI3n/8dfJyeDECRWjYhRqtrae5Rv60dbo/YmRhFqtDWLVgctVdTeK4i9VUtp1WiKUqMlqvaokMQIMs85vz9c95PnOdlxMvB5XZdLnJzzPPfjuu7PuT/zLQjpi71go2p8Unvc09OTVatWOUywEeJsyg8//JCg+EBiQ/RUbtfJyYnOnTsDMHHiRKKjow31d3rhxunTp+Pl5ZXhuSRBeB7IaMFGhRqYaTab+eijjwgPD2fVqlVajEU/6EbVp9y9e5f9+/dTq1Yt7fW0njHUfW7evKmddfRD+IoUKfLE9xAEIeOIjIxkz549uLq6Eh0dHe8slFIxEyXcCI/PV8pWqMbv69evM2PGDHLkyEH79u0z7PkE4Xnn4sWLhu9km82Gm5sbxYsXB8gSden69V2/fp3bt29TsWJFw9r0sV0l3AiPfSp9nkldT+V1RLBREByHvk61f//+ACxYsICIiAhtT9kLNwI0btyY3Llzp/g+CQ2qSUnMRPkm6ucuXbpoa9TX8CuRgpMnT9K1a1eWL1+uDS6WuIkgZA5KuBFg3Lhxhu/22NhYbd+rWGejRo2Srf+y2Wxky5aNNm3a4OLiwooVK/jnn3+IiorCxcWFpUuXpliwUdGkSRMAhg8fTmxsLNmzZyciIgIfHx+WLFmiDSnOCucrQXgeUHbC2dmZJUuW0KNHDwIDA7VYhN5GKOFGgNatW5M7d+5U+QTqfXqxtpScT+zPFkq8YOrUqYZYrl64ER6LZBcoUED8FkHIQNT3d/78+TXRIv2QSr3PsW3bNgAmTZpksEVpQd2ncOHCjBo1iq+//pqDBw8SERFhiOWoQeBnz57l888/54svvqBMmTJpPnfs2rWLK1euaM+uYirvvvsubm5uabqmIDyPBAcHc+XKFZYtW0ZwcDCnTp0y/F7vt6i69CNHjgCwaNEicuTIQevWrXnllVeoU6eOtu9T4lf8+eef8QQbbTZbqnI7SrjRZrOxfft2IiMjtfiPEm6cNGkSUVFRtGjRQuyDIKQzy5cv1+rX3NzciI6OZtOmTQB8/fXXDpsjoOxSnz592LdvH3///bdmf9TZZtu2bVStWhUvLy/tc2kVbLTH3ta98cYbvPHGG7z55pscPXqUtWvXcu3aNeDxHBiQ/I4gpAUVq7SfUaCEGwHat2//xLNB9DVsgwYNIjo6moULF2q2Qc0acHZ25tq1a4wbN47BgwfToEGDVOWOkuLu3buEhoZqPpyqm8ubNy+A5H4EwYH4+Phos5D27NlDeHi4Ya4jxAk3AowcOTJTZiHp12I2m2nfvj0bNmwwCNaqGZQ///wzLVq0kPyOIGQRlHCj4vfffzf0/MLj/btv3z5GjBjBpEmTyJUrlzabWgmY+fj44OPjA0C3bt0wm80EBQVx/fp1zp49yx9//EFYWBjnz5/HZrMZrg0Yev30Nk6dM+zzUOqz9vZQiUQqX2vFihU4OTnRrl07XnzxxXT6XxSE5we1z9S8D7WXlZ9Srlw5IHNjCSoP5OTkxLvvvsvRo0e5evWqtl6z2YzNZuPs2bOpXqteuHHBggWp7pUWhOcFtQevXLlC48aNefHFF1mwYAEvvPCC4X36nE7Tpk0BGDp0qHbOiImJ0c4lFouFnTt3ap+tXLmy4fNJCTaq84S6ZloFGxXK5inhxsGDB3P69Ol4866tVqsm3Ajg6+ubqXP4BUEQBCEzMNkyS9JdEARBeO7RD7XSNyEUKFCAFi1aaIWAevTO5e7du/H39+fw4cNAXGBIP/DO3d1dE25UZAXBRiWElC1bNiIjIwF45513eP/99ylVqpRD7icIQuKcOXOGOXPmJCjcCI9tjSr6UQ1PmRUwslqt3L17F19fX86dO6cFr1TArUGDBlrTuiAIjufOnTssXLiQLVu2EBISojVW6cVerVYrjRo1SrFwI8TZlAcPHjB//nxNuBGIJyZrtVpp0KBBugo3JnROUeczJycnXF1diYyMpHTp0qxZswZ3d3eH3l8QhJSh/KHg4GDmzJmTqHCjem/r1q0ZP348QIYVK+rtSc+ePbFYLDRo0ICvvvrK0IQhCELqUTYgKCgonnAjxJ0bAPLly4evry+9e/cGMs+fUbYnKCiI3r17c/v2bYOggBp0tWLFCipWrJjh6xME4fng7NmzmnCjKhjS2yEnJyfKlCnDhx9+SP369TN7uYIg6Dh06BC+vr5AXJO3yWTSigPd3d1p0aIFHTt2ZNy4cfzxxx9a7NRqtVKxYkVWr16d4lyPvW1IiPDwcC5evMjt27cJDAzkzp07/PPPPwQHBxMTE0NERIT23pkzZ9KwYUPDtQVByProi57/+OMPFi5cyK+//goY89FKYCVfvnxMmzaNKlWqZPLKBUFQBAcHs3TpUv7880+OHz+uva4alSDubKEf1O/q6kr+/Plp0aIF77zzDsWKFcPFxSXF9z1+/DgdOnQA0GpBkhNs1KPOLCEhIfGEG/VnFB8fH3r27Enbtm2f8H9KEITkyAzBRsXevXvx8/PT7qfunRKbov/3ypUrDcKNYPR9atSoweTJk594wI4gCEYyS7BRj94ujRkzhvXr1wPGRk6Ia8IExw6zGzRoELt27TIMDi5UqBDbtm0jZ86cab6uIDxv/Pbbb7i7uxtyqRk9rOrGjRssWLCAHTt2cO/ePU3AMaWCjXpu3brFokWLWLZsGfDYJjk5OREdHU3+/PnZsmWL1JYIQgZgs9mIiIigW7du/PXXX9rwKpvNRpMmTZg8eXJmLzHeWWT//v2sXr2aq1ev8v7779O4ceMkP3Py5EmWLFmiCZvofTp9vAZkoK8gOBL9OWX27NmacCPEDbBTPkjhwoXx8/NLtXBjWFgYjRs3Jjw8nOzZs2s9eSmNw+pfW7FihSbcqNam/o6NjcXHx4dt27bh6ur6BP8rgiA4gqioKNavX8+4ceOw2WwJxmsBTbgRkv5eV7+Liopi69atzJkzhxs3brBy5cpUCzbq+f777/n444+Jjo6mRIkSLF++nHz58jm0R1kQhJSj33uJCTeqfLG3tzcdO3ZMk3Dj+fPn6dKlC3fu3MHV1VXLQ6f0fKJn3rx5TJ06FTDGcm02G/ny5aN27dqMGDFCExcQBCHj+OCDD/jxxx/j9Rarn1VNitVqpVmzZkyaNAl48lkl+pzT5MmT2bdvH+Hh4YY+Z/WzGjTcv39/KleujJeXV4rORIqlS5cyYcIEwBhLadq0KV999ZX4RoKQQjZu3MiOHTs4fvw4Dx480F43m83aXrXHyckJk8lkGNav/m7dujXVqlWjWbNmKcoPWSwWBg4cyM8//6z1zqTlXAIQFBTEihUrDMKNVqsVNzc3IiMjKVeuHKtWrRLRRkFIR7Zs2cKIESOAuBiIPq/TsmVLrb7NUcKNMTExTJ06lSVLlsTzS/LmzcvChQt5+eWXDYIHTyrYmNha9GeVsLAwVq9ezdGjRzl48KDkdwQhDVgsFmJiYmjRogWXL182/E7VlBYsWJB27do5RLhR3VPt+6+//lqrF9ELLKlauoIFC9KzZ0/eeustChYsmOZ7Kptw9epVOnbsSFhYmDZLLjY2lqFDh/Lee++J7RCEdODy5cvMmTMnUeFGeLxHu3fvromTZJZwo9Vq5eHDh/Ts2ZNTp05pcx0VlStXJiAgIMPXJQjPMvrv3gcPHqSpntxisXD48GHmzZvH77//DhjPFeo+9evX14QbE7MzKjZifyaIjo7m+PHjhIWFsW/fPm7evMnly5f577//DH2I8NgfUnUw+rxTYkKNCf1bH4vt0KEDw4YNI0eOHKn+vxEEwUhwcDDt2rUjNDQUi8Vi2JtfffUVrVq1yuwlakRFRTFw4ED27dun2TS9j7Zhwwbp+xMEB6POAZcvX6Zz586akHuVKlX49ttvKVSoULzP6M8M27dvZ+jQoUBc76+KPSiB58aNG9O1a1cqV64MGPPGesHGhHqHn1SwUY86C129ejWecCMY51aWLFmSdu3a4evrKzETQRAE4blCZIoFQRCETMF+qJUSBHJ2dubWrVvs3r2bu3fvxvucPsDcsGFDunXrRvXq1QFj4i0mJgYXFxcePXpEp06duHTpEgDvv/++QbDRarVmmmCji4uLVpjo7OzMjh07mDx5Mo8ePXLIPQVBSJyXX36Zfv36Ua9ePbJnz64FphUqATZ9+nTNJtgn1TMKJycnvLy8ePXVVwEMgS2TycStW7d4+PBhhq9LEJ4HrFYrnp6e9O7dm2bNmpEvXz5DUhzQBD927drFkCFDtELnhJom9CibkjNnTvr06cO7776rFQ3qbZK6/t69e/nwww+JiIhI0fVT+5wJnVOUEILZbNYGWvj5+YlgoyCkEX1TgkqO6V9PCcofKliwIP369eOtt94iT5488YoU1Xs3bNjA6NGjARxuOxLC3p5YLBZcXV3Zu3cvI0aMICwsLF3vLwjPOsoGlC1bltGjR1OpUiWcnZ01G6DODQAhISEsW7aMBQsWAJnnz6jG8xIlStC2bVutSVs1o6viwQ0bNmC1WjNljYIgPPu89NJLTJ8+nWLFimmFQsqmqiKioKAgJk2axF9//ZXZyxUEQUeNGjW0ZkyVs1HnCLPZzKNHj9iyZQuLFi3i/Pnz8Xwelf9JaTGgflCoPeraOXPmpHz58rz55puMGTOGyZMns3LlSjZs2MDcuXMZOnQoPXv2ZMaMGSLYKAhPKfphVlWrVuW9997ThJ31+Wg1TCIkJITBgwdz9OjRzFy2IAjA1atX2bx5M+3atWPJkiWaYKPZbNbyv+osER0dbci7ms1moqOjuX79OrNmzWLYsGHs2bMnwdhrYjg5OWmDgCMjI3F2dk7VwCsVJ8mXLx8BAQEUK1aM2NhYLb6ihnNdvHiRbdu2ER0d/eT/aYIgJIp9bZvyCTJCsFHlpPPnz6/9W60jJTZFHw/u3LkzI0aMwNXVVXtNnXdcXV05dOgQX331VarsnSAISZOUYKN++BOkn2AjGAWrP/vsM1q0aAGgnS/gsX1Rvg3AJ598QmBgIBB/OERq+OOPP/j777+184u6X4UKFQz2SBCEpFmyZAk9e/akc+fOfPPNN+zYsQPAsIfTG5vNRuHChenTpw+NGzcmX758aRZsBChQoAC9evXC19cXeGyToqOj8fHxYdOmTXh5eaV7bYsgCHHDFcLDwwG0oVHweJ8Cmfp9ra+hDQoKYtasWfTu3Zs9e/bwzz//8Pfffyf4Of35pXz58vTo0YO3334biDsDiWCjIKQv+jrV/v3707t3b7Jnzw7EnV1UrvfGjRvMnTuXnTt3cu/evRTfw8vLi9mzZ1OoUCGtrj41cVh93KRLly707t3bUMOv3gNw+/Zt6fEThCyCm5sbbdq0YcyYMQYhE3j8Pe/i4gLAoEGD2LVrF5B0bEP9zs3NjWbNmtGvXz82bdr0RIKNAE2aNGHs2LH4+Pjg7+8vgo2CkMnoh9wuWbKEWrVqERsbq8Utle+hhvivWrWKDRs2cO/evVTFR/PkyUPnzp3x9vbWcrgqn5TaGErfvn358MMPAaMf4+LiQkhICBcuXBBRJEHIYJQtsPcNlP1Qf5RNcXJyYtu2bQwbNgww2qK0oHyYwoULM3z4cJo0aRKvz1mJNpnNZk6fPs1XX33Fd999R1BQkCHWoR8oro+DXL9+nZkzZxoEG9XzvPDCC/zvf/8TwUZBSAabzcZvv/3Gxx9/zKhRozhw4AAPHjzA2dnZIKyqcsbqM+qP+p16n35Y7oYNG5gwYQL9+/fn0qVLScYqVP3KjBkzePvtt7FarWk+lwCULVuWLl260LRpU7Jly6b1C0dGRlK8eHHmzZsnZxNBSGeKFClC8eLFgbi6EmUnTCYTmzZt4uOPPwYcM0fAZDLh6upKq1atyJYtm2ab1PVDQ0OZOnUqUVFRmjhJegg2qrUoLBYLXl5e+Pn5sWjRIr7//nvJ7whCGjCbzWTLlo3cuXMbziLqj5OTE8HBwaxdu5Y1a9ZoggVPek9lmz7++GO6desGoNky9bPZbCY4OJh58+axdOlSzp8/r10jtfUxyiZs2bLF8AwWi4XcuXNTt25dw/sEQXAcPj4+9OvXjzfffBMPD494cx3h8d5bunSpFofIiFlICeHk5ISHh4cmoKJsjZOTE2azmbt376Yqjy0IQtLoz+0LFy5kxIgR8USkU4LZbKZ69er07duXmjVrAsZzBTy2M7/++ivDhg3j/v37idoZ9Rm1LvUeV1dXqlevzltvvcVXX33F4sWLWbFiBcuXL2fChAm0bNmS119/HXd3d5ycnOLFe1RuWPlM9uj7l9UfRZ06dUSwURAcRGxsLFFRUYY9qvakimlmhV46q9WKm5sbAwYM0IRm1evKfiU0m18QhLSjF2zs1KkTISEhuLq6YjabOXr0KMOHD+e///6L9zl9HUnTpk359ttvAbQcDMTFOKxWKzt37mT58uUcO3YMIFHBxpiYGO0M4WjBRojzuby9vZk2bRrlypVLcN61yWTiwoULzJo1iwMHDjzRPQVBEAThaUNEGwVBEIQMx36olV4QKDY2ljx58jBr1qwkxUeSEm5UzqReuLF169b4+vqyZ88ewyBNfeI+owUbY2JitOJrVWzdtGlTEUIShFSgT1KllqSEG1UyKysIN6rAuaenJxCX3FNNFHfv3pWBnIKQTqimhjx58tC3b99nUrgxqXMKYBhOM3PmTJo0aZIlkoyC8DRgf2ZQezo2NpYHDx5oe8m+wSC5s0ZWFW5MzJ4ov2v//v0MHjyY0NDQdLm/IDwvPI3CjSaTCTc3N+rXr6/5XvrYDMDZs2cTLTgUBEFwBIkJN+pjzUWKFNH8H0EQsg7JCTc+fPiQH3/8USs21g+VUQXTjhBPsReAVGsA8PDwwNvbmxo1avDee+8xfPhwaQAXhBSQleOMyQk3qtixCDcKQtbh4MGDfPvtt3z55ZcEBwdrA69UPETtadVArW9qVN/ramg/PB5IZ9/4mBzly5enb9++NG3aFHhsL1I78Cox4UZnZ2ctvlu0aFGmTJkiA/EEIR1JqLZNn0dNT8FGeHwWqVOnDuPHj9fsgJubW6psSnLCjc7OzppA0qhRo8RvEQQHkZRgIxgH86anYKNC7W1nZ2fGjh1Ly5YtAaNwo37w5927dxk3bpxBuDG12Gw29uzZw/Xr17UzlnrmFi1a4OrqKvkgQUgBy5YtY+LEicBj32Lx4sUMHz6cXr16sXnzZq5evWrYo+mVB1YxkkKFCtG/f39q165N3rx5Wbp0aZrFTJRwY48ePQAoVKgQAQEBmpiJo89WgiAkzKlTp7h27ZoWJ1F7+bXXXgMyd0ClWsuiRYv44osvmDFjBoAmxjR//nx+//33BD+blHCjxWLRfCsQwUZBSC8SE27U788nFW6sVq0a3377rXZ+SG0cNjHhRmUPVczkp59+Ik+ePCIqLQhZhPQSbsyWLRtt2rTh5ZdfNtTgppXWrVuzbds28ufPL4KNgpAFSEq4UdV+PKlwY968eenUqRNt2rShUKFCWK1WoqOj0ySMBPGFG5UfU6xYMebOnUvOnDkzpSdAEJ5XVLxAnTXUa/Y9PCrfkl7CjaqXcODAgXTq1AkfHx9Db6KqjVF5qrVr19KpUye+++47fvjhB6Kjo7XZJgD3798nNDSUmTNnMnbsWGbOnKmtVf9s77zzDk2aNNH+LQhCfCwWCzNmzGDSpEls2rQJQKtds1gs2t5RZw6z2aydC8xmc4K1bKo+VeVMwsPD+fXXX+nTpw/+/v4GUQP93lRxGbPZzLfffkuTJk2e6FwCccKNzZo1I0eOHERFReHj48OKFSs0v0cQhPSjatWqTJw4kdKlSxvOGukp3Gi1WildujRdunTR7JCqs3VycuLSpUucOnUKgH///TddBBvtse/nKVmypLYuye8IQspR8QRVg67siCIjhBtHjRpFz549AQz2SuWOwsLCWLduHZMmTeKPP/4A0pa7vnXrFn/99ZdhDTabjdy5c5MrV64neRxBeC6wn+uYmpjA0yLcqGxi7ty5tTWp1y0WC/fu3SMyMjJD1yQIzyr6c/vy5cv59ttv2bNnD7Nnz+bKlSupvp4jhRvtr2uP+kyhQoWoUqUK7777Ll9//TXz589ny5YtrF27lhEjRtC6dWvKly9P9uzZcXNz03woZWtU/Mc+d2w2mw3zHVUtmyAIT47KrehRtigqKgrIGnkPtc78+fOTJ08e7TWViwoJCWH//v2Zu0hBeIawF2wMDQ01CCe6urpy5MgR+vbty8OHD+N9PinhRpVPthdu9Pf314Qbt27dGk+wUf+zowUbFckJN+pnP77++uvUq1fPIfcVBEEQhKcFqfQWBEEQMpTEBBtVwY2XlxcBAQHJDrXSD8ps2LCh9vrhw4e1z6kBeC4uLjx8+JBDhw5pDqC9QEBmCTbaCyHpn0UQhKTRJ+Hu3LmDl5dXqgv1lHAjwP79+4mIiDAE2PXCjTabDT8/P62AMaMHwxQoUEBbkz1ZIeAvCM8q6syhhBsBtm3bphUWqt/bCzdOnjxZEytLyl7YCzcCbNmyheDgYO0cob++Em6cOnUq2bNnfyJ7lJpzyowZM+ScIggpRO0t5XucOnWKGzdusHfvXm7cuEFoaChhYWF4enqSM2dOSpUqRbVq1ShVqhTly5fXPpdUo4C9cCOgiZQkVKy4YcMGAMaPH29ovHL0MycmAOvm5kZUVBRHjhzh8uXL5M2b12H3FoTnEXvhxvHjx/Pnn39qMRZ1brBarZpwI0Dv3r211zNjGG6FChVo37498+fPNwyKcHZ25uLFi1y5coVixYpl+LoEQXh+UMKNgwYN4sqVKwbBtfr169OlSxcqVaqUyasUBCEhlHCjr6+vlsOJjY3VzjWq+Uk/SMtms2k+SXqJqCj/K6nmT2kAF4Q49LGOp2FAgr1wIzxe9759+wz5aHvhxmnTplGlSpVMXr0gPF9s3ryZWbNm8d9//2lnBb3Aqj6Xqm+w1A+vs28mr1mzJo0bN07xGpS9eOWVV+jevTtms5ktW7YA4O/vT+XKlVMck7EXbuzUqZPWhFqsWDGDmIkM+hUEx5NcbVt6CzYqXF1dqVWrFqNHj2bChAlcvHgRV1dXlixZkuIhevp4cOfOnQGYOHEiVquVmJgYfHx8WLlypdgUQXAQyQk2ms1mhwo22n8uuetkz56dL7/8ErPZzPr16zVhNBUjVeeg8+fPM3z4cMaOHWuoE0nM5tn7d0uXLmXJkiWAcQhxs2bNqFWrVqqfUxCeR/z9/Q3nEf3wloMHD/Lnn3/i7u5O3759KVOmDDVq1DDUxzs6F6xiJC+88AIfffQRAwYMoFixYk90rwIFCuDr60uuXLlo06YNefPmlfOIIGQwDx8+1Ib76uMnakBnZsdvQ0JC+OGHH/jrr7+0Qeb6uM/BgwepWbNmgrZIH9tVwo0AP/zwg5ZTEsFGQUhf9HWq/fv3B2DBggVERkZqe85euBGgcePG2lDM5KhSpQrTp0+nR48eREVFpToOq4+bdOnSBXgs5HT9+nWKFi3KypUr5YwiCFkQJdwIMG7cOEMNieojjomJYdCgQUyfPp1GjRoZzgb22Nd9OOpMoM5UYj8EIf1JyXe1shPOzs4sWbKEHj16EBgYiLOzsxZzUecHJdwIj0VYc+fOnSKfwcvLi7Zt22IymZg/fz4PHjxIszASoPUwTp06lYiICIoXL86KFSskpyMImYTVauX+/ftAXO2o1WqladOmXLlyhePHj2v7Ut9XuG3bNgAmTZpksEVpQZ1p8ubNS9euXfH29mbFihWcOHHCIESr3ms2m3n06JHmb7388su4uLhQqFAhnJyc+Oeff4iKiuLatWvaPZRdVM/RokULhg8fbnguQRCMxMbGMnLkSH766Sdt0LdeBEAf21SxCH39mv5nvZ1QsVs1MNdms2E2m7ly5QqLFy/m+PHj9O3bV+t/0Z9X9HGZb775BoCOHTum+VwCccKN4eHh/PvvvyxZskTOJYKQgVSoUIEvv/ySTz75hHPnzmnir/rh30o09uuvv37iOQLKTlSsWFEThlb3sVqtXLlyhYMHD1KiRAl69+6d7oKNetIrliMIzwvqLKDPCev78BR64UaA9u3bky9fvie6t942DR8+HFdXVxYsWKCdh/R5mwcPHrB//37+/vtvRo0axdtvvx3vGZJj48aN7N27V3tOVcPm6+tL4cKFn+hZBOFZR+9f3Lx5k0KFCqX6Gkq4EWDPnj2Eh4fHE05Swo0AI0eOTJdZSEmh1pIvXz5Dr7AgCI5Fb1P0vTpOTk5s2bIFq9XKwIEDUz1rSAk3Kn7//XeDjwRG4cZJkyaRK1euVNsZ+/fqn6dIkSI4OTlRrlw54HGc6Pr169y+fZvff/+d0NBQ/vjjD+7cuaPNq1RnEmdnZ5ycnIiOjgaM8x2llk0QHIPZbMbd3Z0HDx5o8Q21B1XOJ6vkPUwmE4UKFeL//u//WLRokWHuLCBC0oLgIJISbITHdkN9N7/99tvkyJEjwevo4ylNmzYFYOjQoVrtWmxsrGEWya5du8iePTv79+9nzpw5gLHfTi/YuHz5cl577bV0yc3qhRvV/LXTp08bamfeffddJk6caPj/EgRBEITnAZNNFF4EQRCEDCI9hlrpg8q7d+/G39+fw4cPA3HOoL4oQL1XOX1ZRbBRmr4FIXXo98n8+fOZMmUKGzZs4JVXXklT4v3MmTPMmTMnQeFGdT+z2czAgQPx8/MD0mfQd1LMnTuX7777ziDCAnGDOb28vDJsLYLwPKLszt27d5k3b54m3KiKbvRnDavVSqNGjVIs3AgYigfnz5+vCTcC8RqmrFYrDRo04LvvviNbtmxpskdyThGE9OX+/fsEBgaye/du9u3bx7179+K9x754OXfu3FSsWJEWLVpQuXJlChYsmOx91J4MDg5mzpw5iQo3qve2bt2a8ePHA447yyQn2Kj/WYTqBSE+9t+tqfmuVe8NCgqKJ9wIcecGeFws7OvrS+/evYGMT4irtW7dupXhw4cnKJqwevVqKlasmGFrEgTh+eXs2bMMHjyYS5cuAdCgQQO6dOlC3bp1AfF7BCErc+jQIXx9fQG0pm77Ri1Aa0CvWrUqK1as0IobBUHIPPTfrwsWLGDr1q306NGD8uXL8+KLL2rvy4rFu/om9D/++IMFCxawb98+wJiPVoN18uXLJ8KNgpCBrFixgnHjxmn/Vs2V+kH+VquVWrVqkTt3bkqXLo3NZuPSpUvcu3ePgwcPYjKZiImJ0epYSpcuzZw5cyhatGiq4qh6W3fy5ElWrFhBu3btqFq1aprsm1p/aGioJiC5c+dOGRQuCOlIVhFs1BMTE8O+ffuYNGkSX3zxBdWrV0+1TdG/f9WqVXz++ecULVqU1atXyxA9QXAQyiYkJNhos9kMzZRpEWxMS/7I/tr6a3z55ZesXLkSIF7di3ovgJ+fHw0aNDDkb/SDQiFuGMWNGzfYtGkTM2bMAOIG+9psNgoWLMjw4cN55513UvQMgvA8s3TpUiZMmAAYG7H1e1Xv77i5ufHOO+/w5ptvUrVqVXLmzKldy9H5Dv31HHVtdR05jwhCxvPjjz/y4YcfajZF2ZjJkyfTpEmTzF4eAIGBgfTq1Us716gzis1mo1SpUqxduzbRgRjqfcpWnTp1ijlz5vDzzz9rAk727xEEwfHo4yezZ89mwYIFREREAPFzu4ULF8bPzy9Vwo0AR48excXFhfLly6cpDqv/zIIFC/j555+ZMWOGxEwEIYsTFRXF+vXrGTduXLzYi752Xb73BeHZ5eDBg9SpUwdIeW+M/rvdXrhRXxtis9nw9vamY8eOqRJuBAgNDWXDhg3UqlXLIYP0pk6dyoYNG9i0aRP58+eX84kgZBJ37tyhbdu2msChshfvv/8+AwcOpFu3bhw+fNhgU1Qsw2q10qxZMyZNmgQ4bpZJTEwMV65cYdKkSZoQCRBvKDmg/VuhzwupdSrfTP1Ov+aMnqcgCE8LsbGx9O3bV6s/08//0OdzVJ1p2bJl8fT0pGTJkuTNm1ebaXL27FmuX7/OzZs3CQ8P166vz8mqs4heyDFPnjxMmDCB+vXrJ7o+vb1xRH3uhQsXKFCgADlz5pRziSBkAsePHzcIN6qzhvr+t9lstGzZUqt/c8R3+PDhw9m6dSvw+AyhzgzOzs7kyJGDe/fuZZhgoyAIjsPX15dDhw4ZzjB6URB9/VnBggVp166dQ4QbwWiblixZwuLFiwkJCTEIxOpjNAA9e/akQYMGBmEmvSiTxWLR+gYtFgvLly9PsPamZs2afPLJJ5QqVeqJn0MQnlX0cdCFCxfy7bffsnDhQurWrZumPMvly5eZM2dOosKN6p7du3dn5MiRQMbHIfT9AxB35ilQoACrV69O0ewnQRCSZ8GCBUyePBlAiyeo7+hmzZoxaNAgvL29U31di8XC4cOHmTdvHr///jtgjJHCYztTv379NAs3pmQN6p72sZc7d+5gsVj4+++/OXPmDBcuXODIkSNER0cTGhoKSE5bEFKC/d5IyT6OiYmhXbt2nDlzJp7v07VrV0aNGpVlZhqo51u5ciVffvllvNxNmzZtDD3UgiCknuQEG/Xxg5EjR9K9e3cg6e9m/e+2b9/O0KFDAeIJQVosFpycnLTzieo3VPfNCMFGPcqGXrt2jQ8++IC//voLgObNm/PNN98AWXPmiyAIgiCkJyLaKAiCIGQI6TnUKjnhRvugub4I6PXXX2f+/PlAxgg22jvFIEJIgpBa9PtEb1ty5crFsmXLePnll58p4UZ1j3HjxrFy5UrNfikqV67MypUrxXYIQgbwrAg3pkZgTc4pgpA6Hj58yNmzZ/nmm2+4fPkyd+7cAdAG96vmRYgbdKmar1RCLXfu3OTJk4dhw4bRoEGDZH2UzBRuFHsiCE+Gfi/8+OOPFC1alFdfffWZFW4EuHr1Ku3bt+fOnTuaHVRxoqVLl1KzZs0MXY8gCM8vQUFBDBgwgFKlStG1a1cRbBSEpwh74UaVd9Gj4jR16tRh0aJFGb1EQRDs0H+/+vv789VXXwHg7u5OtmzZ8PX1pXz58tSqVUv7TFYr5E1OuFH5XXrhxu+++46qVatm5rIF4Zln8eLFWgOAinOqwTMuLi7ky5cPPz8/SpUqleh+PHnyJBcuXGDhwoXcuHGDR48e0adPH/r370+2bNmeaH2PHj3C3d39iWyaqmMJCwsDwMvLSwZeCUI6kRUFGxUxMTFERESQK1euNNsU/ee2bNlC3bp1RQRWEBzMtWvX6NatGzdu3DDUiio/AeDDDz+kb9++QOr9nujoaCIjIzlw4AB37tzh77//JioqCnd3d5ycnChSpAiVK1emQIECFCtWTPuc/j76n6dNm8aiRYuIiYkxDL2yX7OPjw9VqlShbdu2FCtWjLx582rXjoyMJCIigoCAAI4dO8bBgweBx3ZUDc6yWq289957WvOpxGAFIXF+++03evbsCRgH8UL8vaNqTFTO1dPTkxdeeAE/Pz+KFy/OSy+9pL03q8VZBEHIGixfvpzx48drtkV9/0+YMIEWLVpk+ne2zWYjOjqacePGsX79eoNwgNlsxsXFhe+++4769euneCDGiRMnMJlMlC9fPt7vBEFIPxISboyMjDTswScVboQnO/PoPxsZGUm2bNkkZiIITwEJCTdaLJZ49ewy5FIQnj1U7Yl+YFxWEm5U93BUTCYiIoLs2bPL+UQQMpHQ0FDatm3Lf//9p+VULBYLffv25cMPP8RisdCjR48MF25UTJs2jZ9++ol///0XSFjoTd+bbI8+L5Q7d26aN2/O6NGj02WtgvCsEBsbS48ePThy5Ighz5pQ/qZr16689NJL1KtXD1dX13jXUnHPv/76iyNHjrBnzx6CgoJ49OiRoT9QP/dEP29k2rRpNG7cOF2f1/4cJLknQcg8Mkq4Ue3zH374gU8//ZSIiIh4+WuIq6MXwUZBeLro3LkzR48eNcw9UX4OxO3tjBBu3LhxI6tXr+bUqVOGOK9ah76GrVatWnTv3p18+fKRM2fOeNfdu3cv+/btIyAgAMDgn7m5uTF06FC6dOnyxOsXhGeVxOY6ms1m5s+fT506dZ4p4UZ13pkyZQoLFiwwzGUBKFeuHGvXrpW4iCA4gIsXL9KsWTNiY2PJli0bUVFRgPG7vlmzZgwcONBQA59SsoJwoz16EWz7GMqDBw94+PAhgYGB+Pj4UKlSJcNnBEEwot8bR48epUqVKkDS5wWbzYbFYqFz586cOHHCcP6w2Wy8+OKLrFy5MtX1aenNuXPnaN26NVar1TBDpUGDBsyZM0dshCCkkaQEG1VdekKCjSnJhSQn3KifU63yxyrmohds9Pf3p3z58hmWf9ELN3bt2pVKlSoxZcoUQHJAgiAIwvOJiDYKgiAI6Y79UCv75idHDLVKrXAjQJUqVVi5ciXweLiVi4vLEz2nQoRLBCFj0A/2zZ49OxEREbi7u7Ny5cpnTrjxwYMHtGvXjgsXLmgBNxVsa9CgAbNmzcLJyUlsiCBkAE+7cGNS5xR98B7knCIIqeXEiRPs3LmT9evXc//+fe27Wu+P6PeS/oyhtyGqYapixYpMnDgRHx+fZO+dGcKNYk8E4cnQ74WlS5cyYcIEKlasyGeffUbZsmWfWeHGS5cu0bp1ax4+fKitTQ1AX7RoEbVr186wtQiCIFy7do3g4GCtKFPOKYLw9JCQcKN9XMZms1G3bl0WLlyYmUsVhOeexBo2VbxU+Sq5c+emZs2atGrVitdeew0vLy/tGlmlsDc54Ub9wHAl3Dht2jTtrCEIgmNRwgIQJwqkhiq88sorvPnmm7Rp04YCBQoYPpfYELoHDx7w008/8eeff9KpUyfKli2bMQ+SAvQxXBliIwjpQ0YKNmbm2cb+3mJTBMFxREZG0r17d44fP46rq6smhKiPV4wYMYIePXoAydsCvS8VHh7O9evXmTFjBteuXePs2bMJxkHgsW/i6elJo0aN+N///kf16tVxc3Mz3E+/91euXMnatWs5d+6cNkRP2UC9MJLNZiN37ty4uLjw4osvaiKyly5d4sGDB9y8eVNbuxp2pZ6zRYsWTJgwIUXPLQjPOyEhIbRu3Zrg4GCtTsx+MB4Y6+LVXlXvcXd3J2fOnHTs2JGaNWtqw1wEQRDsWbduHZ988olmb5Q9ad++PZ9//nmW8Rc2b96sDeXT20YAPz8/Pvjgg2SvkVAeWHLDgpCxZJRw45Og91fERgjC00Niwo2AoZZdhBsF4dlBn9MB0iRGkhHCjY5GbJcgZC4HDhzgvffe0/ahisfOnj2b//3vf9r7unXrlqHCjXq7FxgYSGBgIPPnz9fsmDob2ceY1ZpUr5GKtbz++us0bNiQdu3axbu+IAhxxMbGMmDAAPbu3Rtvv6ufS5cuTd26denSpQtFihQxfN5+b9nbg5s3b3LlyhWmTJnClStXCAsLi5e/BaPPM378eFq3bp0BTy8IQlYgIeFGezvkCOFGgIcPH9K5c2eCgoISnZcggo2C8PQQGxtLdHQ0LVu25PLly1pexGq1UqVKFTw8PNi7dy+Q/sKN+rxMYGAgW7ZsYdu2bVgsFkOc176GrUCBAnh4eFC1alVy5MiBu7s7N27c4MKFC5w9e5aIiAggrr9A+WNdunRhzJgxgMRZBCE5EprrCLBo0aJnTrjxwYMHdOnShaCgoHhzHatXr87ixYsxm81iMwThCYmMjOSnn35i0qRJ3Lp1K1GR5qZNmzJ48GC8vb1TfY+sKNyoR9nOxO4p5xNBSJiEZhT06NGDESNGAImfF9TnvvvuO+bNm6fZGhVnzZs3LwsWLOCll17KUj0uV65coUmTJppdVP7YG2+8wcyZM7PMOgXhaSIxwUa1z55EsFGRlHBjbGxsPN8H4nqYM0OwUaFsaFhYmDbbJSvZREEQBEHISOTbTxAEQUhXEhpqBThUsBGMg2caNmxIt27dqF69OvDYCUwoQXfmzBkuXboE4DCHMDHhEvvnBhEuEYQnYenSpVpi39nZmYiICFxcXHj06BGdO3fmzJkz8ZoIUsLLL79Mv379qFevHtmzZ9eKhxQq4TVjxgzmzp0LkKb7pBSV7Ltw4QLh4eEGG2kymXBxceGtt96SxL4gZCDqzJEnTx769u1Ls2bNyJcvn1aspxdjc3JyYteuXQwZMoSYmJgU2QtVuJMzZ0769OnDu+++S8GCBQEMNkldf+/evXzwwQdERkYme30RWBOE9GPnzp189dVXrFixgvv372tFvPZijGAUa3R2dja8R7/XqlWrliLBRoizTQULFqRfv3689dZb5MmTJ8FEnclkYsOGDYwePRpI21kmKb9H7IkgJI99QZAaVBsUFMSXX37J6dOnDXGO5FDvLVu2LGPGjKFy5cqaHVL3UzYoJCSEZcuWMX/+fCDu7JHeqLVYLBayZcum+TA2m43Y2FjMZnM8EQVBEIT0pmjRoiLYKAhPKTVq1GDZsmVA3KAKvVCB2s/37t3jwoULmbZOQRDiRNGWL18eL2esRAfgsQjJzp07GT58OF27dmXz5s2cPn0awNAInpno4zdVq1ald+/evP7660B8QTVnZ2dCQkIYPHgwR48ezcxlC8Izybp16xIVbHzzzTf5/PPP6dWrFwUKFIhnO/RnBYXFYiFnzpy0aNGCMWPGULZs2WTjMimN2zgCfY5YhtgIguNJTrDRy8vLYYKNsbGx2tkmOjraIetPDfb1cWJTBMFxWK1W6tati6enp7a/9WeOGjVqaIKNqp41qWupzx45coRJkybRvXt39uzZw7lz54DH+1nlWtQfNcAiJCSEgIAAPvnkEwYOHMiNGzcM99MPoOjcuTNDhgyhSZMmmg1UA0HVOtSfBw8eEBISwu+//86uXbvYvXs3//77ryYup9ag/D01fFjlwZJ7bkF43rFYLOTLl4+ePXvi6upq+F3BggVp0qQJFSpUiDcoRj9Y22w2ExERwa1bt5g2bRpDhgyhf//+HD161CCuCpkfZxEEIfMpWrSoVrumvrsBrl27BmQdf6FFixbUrFkTiIvHqPPK+fPnAZKtfUsoDyy5YUHIWPR1qv3796d3795ky5bNUCOnzjM3btxg7ty57Ny5k3v37mXYGvX+itgIQXh6cHNzo02bNowZMwaTyaTVo9psNmJiYnBxcQFg0KBB7Nq1CyBV9bmCIGQt9LUnbm5umEwmNm3axMcffwykvDdGP+tgyZIl1KpVS8vh6GtDTCYTV69eZdWqVWzYsIF79+5lmg2R84kgZC6hoaFA3F5UuRAPDw/t3/BY1KB69eoGm6LERZycnNi2bRvDhg0DjLYorehzPrVq1eKjjz5i+fLldOnShRIlSmjrVH+reSsWiwWr1YrFYiFXrlyUKFGCcePG8emnn4pgoyAkg9VqZfz48ezdu1cTELIXSmvQoAGfffYZAwcOpEiRIvFyMvZ7S5+fhcd5oerVqzN79mwGDx5MtWrVtBiuvkdZn9sdPXo027Zt034nPo8gPNtUrFiRL7/8ktKlS2tnDZUzVmeQtPhK9litVnLkyIGfnx85cuTQrmE/J0EEGwXh6cHZ2Zno6Gju378PGM8NNWrU4L333qNevXqAsdbLycmJ4OBg1q5dy5o1awgJCXnitejnQdaqVYv+/fszbNgwTSxBPyNB2TknJydCQkI4f/48a9asYfHixcycOZONGzdy/PhxoqKitOdU5zRVw6YEG/Ui2IIgxCexuY4AvXr14uDBg2mKkfr4+NCvXz/efPNNPDw84s11hMdxl6VLl2o1pxkx1/HatWvcv38/3lxHZ2dn3n77bc3nEgThyciWLRuNGjVixIgReHl5aTldwBDf2L59O9OnT+fKlSupvofZbKZ69er07dtXqzWzr103mUz8+uuvDBs2TNv76WVn7FE2LzFfSc4nghAf/Qwgf39/LU+8fPlyvv32WyDx84L6XPHixbVYqnrNarVy69YtNmzYADhuFv2Ton8O/dwUgNy5c2eZdQrC00RGCDaCsRatadOmmo2KiYkxzJlV71U1bq6urqxevZry5csTExOT4ftc1diJYKMgCIIgiGijIAiCkI4kJtioCm4cJdioSE64UTmDSujs0aNHtGzZMs3ibvYkJYQEItgoCI7i6tWrWtGwft/HxsY+U8KNemGV9evXc/v2be0eqog7JiaGQoUKOfS+giAkz9Mo3CiCjYKQfqxatYqRI0dy8uRJoqOjtX2o/A/lB7m6upI/f36KFClCwYIFcXV11RqxIG5PWywWKlasyODBg7XXU0JahBtVcXFqzjLJCdWLPRGE5NELNqq4iYuLC5GRkZw4cYLx48enWbjxpZdeYvTo0ckKN/r7+7NgwQIgY4Qb1TMfO3aM0NBQzeaodbu6upI9e/Z0XYMgCEJSyDlFEJ4+EhJuBGPD6L///suqVau0ob2CIGQOAQEBBnE1fQxC3/BsMpkIDw/n/PnzjBkzhvfff59JkyZx/Phxg8ARZKxYmp7khBv1g61EuFEQ0oddu3YxceJEIL5gY/Pmzfnuu+949dVXcXNzA1LWNKVqVUwmkyaOkpSPoGxXWFiYJmQgCMLTSUpq2wICAhwm2Kj8lu7du/PRRx8RERHx5A8hCEKWwN3dnaZNm1KmTBkg7nyhfJdr166xb9++ZK+jb3D8/vvvGTVqFBs3buTu3bva2UfVrukHSyk/RH/vW7dusW/fPrp168b3339PWFiYdh99buj111/ngw8+YOzYsVreVz/sSj2Dfqiw/m/1nPpm1Vy5ctGtWzcmTZoEYBiuIQhCwqg98uqrr2qDtpU9uHHjBkWLFmXMmDGMGTOGkiVLGgRS1WfVvlZnjuDgYH7++WcGDRpE79692bJlC//++y+AYaivIAjPJ8oH0g/zNZlMHDt2jGPHjmX28gA0O1eqVCkgznapc88///xDVFSUnDME4SkhMeFGiDuTZLZwoyAITycJCTcqv0iEGwXh2WHLli1a7YmLiwtRUVFPJEbyNAo3CoKQ8ahczKFDhwAMOZKSJUtSsmRJwGhT7IUbVU4mvYQb7etiqlWrxvDhw1m3bh3ffPMNffv2pW7duvj4+ODj48MLL7xA6dKlad68Ob169WLZsmUsWrSINm3aULRoUSAu7yMIQnzWrFnDzz//DMTFM/SCjU2bNmXKlClUqVIFd3d3Qz9fcqj3KeE1Ly8v2rRpw/Tp02nZsqVWI6+/pt7/GTZsGD///LP0xgjCc0Jiwo2qnt0Rwo3K1pQuXZr8+fNr19GjBBvXrVsngo2C8JQQGRmp9btA3F7PlSsXVatWpUuXLgbhRhUHSQ/hRn2MpVixYnTv3p0VK1ZQrlw5cuXKFa+GTX8WMpvNmEwmzGaz9rO+hk3lmlu2bKnVsImNEoSk+e+//9izZ4/2b7UH1VxHeCzc+Ntvvz3Vwo16n2rNmjXcuHEj3lzH2NhYihUrpq1JEIQnx83NjYYNGzJmzBjy5s2r1Zbb53e3bdvmEOHGWrVqAYkLNw4dOpR79+5lqHCjIAgpRz+rcNmyZZqotIuLCxaLhYULFzJ16lQgcTFUeCwQX7x4cU00TZ0DTCYT+/bt4+TJk+n/MCnEbDaTLVs2nJ2dNbulegPEjxGE1JOYYGNMTEy8HrgnEWxUJCfcqN6jf3/VqlW1GloXF5dMqUPRr0kEGwVBEITnGfkWFARBENIF+6FWKhitHFRHCzYqUircqJKAERERTyTuphAhJEHIOLy9vfHz86N27drawCn7vZ1Zwo2OFDpR99u5cyc//vijdg+IC6C3bNmSGjVqOOyegiCknNQIN5pMpicWbmzevDkFChQAUi/cKOcUQUg/li5dyueff05ERIRW1KsarGJjY8mePTsNGzZk9OjRLFmyhC1btrB+/XpWr17NunXrmDBhAo0bN6Zw4cLA4yapfPny0b17d82PSs0+TK1w4/r16xk9ejSQsmLFpOyJzWYTeyIIqWDdunUGwcbY2FitmDCjhBuXLVvG/PnzgfQXblRrOHfunHY//XNVqVKFIkWKpNv9BUEQBEF4NklMuBEe+zgRERFs2LCBlStXinCjIGQSkZGRmhiAm5ub1vysH+yk91X0Rc7//fcfixYt4oMPPqB3794EBgZq4mgqzpDeAvQJkZxwo8pZ2Qs3/vHHHxm+VkF41vj777/x9/fn4cOH2l5U8diWLVvyzTffpHtjgtrn58+fp3379syfP5+rV6+m2/0EQUg/EhNsTI/aNr2/MmjQIH7//Xd2797NuHHjRLhREJ4hihcvzoABAzSbogZJODk5cf36daZNm0Z0dHSiNWZ632jdunUMGTKEq1evakN9VS5X+UPOzs6G4VPqd6qmROVvr127xtdff01AQIBBcFqfqylSpAht27Zl7dq1NG/eHG9vb8N11H3UOvXnLXUdZUdff/11PvroI0aNGgVgGPIlCELyVKlShc6dOwPGYXHz5s3jv//+o3nz5qxdu5aPPvqIunXrAmjxFvVe+6F5YWFhnDt3jhEjRvDhhx8yfvx4Lly4wIMHDwy1HCI2IAjPFyVKlKB48eKGOK3NZiMiIoJ//vknk1f3GHWWatiwoXae0MeXIyMjtVo1QRCeDhISbsyePbuhRk6EGwVBSAt64UYnJ6ckhRt37twJiHCjIDxtFClShOLFiwNxfS1PKkYiwo2CICSHqgM7ffo0ECfiaLVaKVSoEF5eXtp7kxJu1Odv0kO4MaF158yZk+bNm/Phhx+ycOFCtm/fzo4dO9i1axcbN27km2++YdiwYZQtW1bra1RID6AgJMyVK1fYtWsXwcHB2mt6wcaWLVvy7bff4u7urv0+rftJ5Y3NZjOenp58/fXXDBgwgHz58gHGOQN6AZWBAwcSGBgo+1gQnhMSEm5UdslRwo0ApUqVokOHDgBaH7SyM05OTnTs2FGrMxERAUHIuqg4xp9//sn9+/e1MwyAq6srL730EgD169enW7duBuFGVR+WXsKNCqvVSqVKlZg+fTqDBw/m1Vdf1fww+x4ktX6r1WoQMlF2zsfHh/79+2t1wqqeTxCExClUqBB9+/blzTffBIxCZ3q/o2fPnhw8ePCpFW5U99u9e3eicx2bNWtGnTp1HHZPQRAe4+bmxptvvsno0aOTFG7cvn37Ews39unTJ0nhxn379jFs2DARbhSELIi9YGNivX/z5s1j1qxZSV6rYMGCFCtWTPucytfYbDYuX77M4cOHtXtmBcLDww02S/39wgsvAFlnnYKQ1UlMsFHZAr09cYRgoyI54Ub9HrbZbBw6dIjvvvuOo0ePxvu8IAiCIAgZi4g2CoIgCA4nocCWXswjvQQbFSkRbgTiibsFBQWlKWguQkiCkHGovf1///d/dOrUSRMs1A/BVc2UmSHcqB+Q5QiuXr3KTz/9RHh4OBBXQG02m8mRI4f2/BJYE4TMIaXCjfDYPjypcOO7776bKuHGmJiYJM8pgJxTBOEJ0Bf5OTs7GxLyRYoUoVGjRqxatYpJkybRtWtXKlasiJeXF56enhQoUICXXnqJ5s2bM23aNKZOncqIESPInTs35cqVo3z58gBp8pVSK9y4YcOGFAk3JmdP9D+LPRGE5AkJCSFPnjzad7HaJxkt3Ojv758hwo0mk4kzZ86wbt06w2tqLd7e3ulyX0EQBEEQnn0SE25UDd+PHj1i8+bNItwoCJlEtmzZNAGBqKgog9BHwYIFtUbuhAZUqbjIrVu3CAwMZPDgwfTv359Vq1Zp+/lJCp+fhJQIN6qflXDjsGHDtAYOQRBST3h4OLt27eKvv/7Shi6oeGyTJk20GhU1eCY9UPv7woULdO3alatXr7J7925WrlyZpkZQQRAyD/vaNmU70luwccCAAezatQsXFxctRyPCjYLw7GCz2ahWrRqffvopEOfnwGNb8/fffzN27FjAKJioPqvOMFu2bOGTTz7RPqfeq2rj1OdiY2O1oVTqb/UedS1lw0JCQli+fDmrV6/mv//+0+5rL9b28ssvM2bMGObOncu7775LqVKltHvZ533VWcxisZA7d25KlSrFl19+yeeff0779u0N9xcEIWWo/V27dm0KFCig7Wl1lvjiiy84efIkOXPmpFevXsyaNYtRo0ZRrVo1rYlcn3fW2wx1jX///Zfly5fTr18/BgwYwOHDhzW7oK9FEwTh2Sdfvnzkz59fqxXTD7mcP38+ly9fzszlGfD09NRq9NUgYKvVyu3bt7l3757YLUF4ykhIuDFbtmwi3CgIzxj6M0ZGoYQbR48eHU+4UT9MePDgwSLcKAhPIVWrVmXixInxxEhEuFEQhPRC7e/jx49z7do17Vyh4idVqlQBMPTgJCfcqLdf6SncqPJT6hn0+RrVA6n/vSAIKWPz5s0EBgYCGOpdbTYbjRs3NtSvORJ1vQEDBtC/f39KlCgBGIcHK//HYrEwYcIEgoKCHLoGQRCyLgkJN6pzhyOEG9V5oX79+pQpU0a7vspFW61WgoKCNB9JEISsi9qjegFqZS9iYmLIlSuX9nq9evXo1q2boUcmPYUbFeoeRYsWpWPHjqxYsYJ+/fpRv359IK5eTd9HpK+ZU/5Zly5dGDlyJIMGDdLWr3w6QRASRn3n161bl86dO9OgQQMgceHGXr16PdXCjdeuXeOnn37i7t27gHGuY7Zs2bSZtRI7EQTHk5Rwo/47OyOFG+/fvy/CjYKQRUiJYKOa1ebl5cU777yT6LWUf9CtWzdy585t+F5XPsTUqVM5duxYlolpnDp1iujoaIN4vZubm3Y2ySrrFISsTGKCjfrZy+kh2KhISrjRxcVF29vq7LFr1y5WrFjBsWPH4n1eEARBEISMw2STb2BBEATBgSQW2FLOoJeXFytWrKBkyZLpPpBFH3DbvXs3y5cv59ChQ9p6VBJeOc/u7u4EBARQtmzZFK8tMeES+4AeiHCJIDgK+73t7++vDblVtkYvmOru7s7KlSt5+eWX02R3zpw5w5w5c9i/fz8REREJDs0ym80MHDgQPz8/wDEBN6vVyuLFi5k8ebJh8KhqJqtWrRqLFy/WChkEQcg8lF26e/cu8+bNY9u2bYSEhBiKjgGtAaNRo0ZMnjwZFxeXFNkltffDw8OZP38+W7Zs4datW4BxkJ+6foMGDZgyZQru7u4AIiwtCOnA6tWr+eyzzwA0MTTlX9SuXVsTl1YFgmqv2u8t+zPDX3/9Re7cuR0iXqbuFxwczJw5c/jxxx+5e/dugvvbZrPRunVrxo8fD8Qfnil+jyCkD0uXLmXRokXcvn0bMH6vq+GbFSpUYPTo0ZQrVy5Ve0q99+zZs4wfP55jx47FG9Kpiovy5ctHt27d6NOnD+C4AgI9d+7cYcqUKaxbt05rAlXr9PLyYtmyZZQuXVrshiAIgiAIaebQoUP4+voCcfkp/XCuHDly8O6779K5c2dNcEAQhIzj448/ZtOmTUBcsXDevHkZNmwYYWFhTJ06FZvNZhgco0ftZUXJkiWpUKECvr6+FCxYEE9PT+136eHTJIbyYWw2G3/88QcLFixg3759gDFnlS1bNiIiIsidOzc7d+4kT548GbI+QXgWUHv6jz/+4P333+fevXuanbDZbNSpU4dJkybh5eWVrvtfL9jYqVMn7t69i5ubG1FRUeTKlYtWrVrRqVMnihUrli73FwTBcSRU26bPnaaXYOPAgQP56aeftOuppnKbzUbDhg2ZMmUKrq6uT/6AgiBkOmFhYUyePJkNGzYAxsG4+fLl46OPPqJly5YJfvbXX39l+PDh2plHn4d2dnYmR44c1K9fn+LFi5M3b16cnJy4c+cOQUFBHD16lNu3b2v5H1VrptZgsVjIkycPffv2pVWrVuTOnTvZZ7l58ybHjh3j1KlTnDhxgujoaB48eEB0dDR58uTR1tGsWTMKFCjACy+8oH1Wcj6CkHZsNht9+/Zl3759hnoTs9lMly5dGDBgAO7u7toeu379Ov/88w8zZswgODiY0NBQnJycNLEjvbi9el3dJ3v27JQtW5bGjRvTpEkTvLy84gnACoLw7KFiKPPnz2fq1KmYzWbNNzKZTOTIkYMPPviAzp07Z2i8NTFCQkJo27YtN2/eNLzu4uLCrl27KFCgQKavURCE1KOPu8yePZsFCxYQGRlpeI/yZQoXLoyfnx+NGzdOkS8jCELGsnbtWh48eEChQoUoU6YMRYoUwdXVNd73c1I19Y4kKiqK9evXM378eKxWqyGvpB/CNX36dBo1agRIHEMQniaOHz/OJ598wrlz5wwD+fUzA1q2bGkQTUpJrkef0+nRoweBgYE4Oztr19SLknh7e9OxY0dat26tDfgUGyIIzy7z589nypQp2jlG9fwoUcaE0NsUX19fDh06ZLAp6lpWq9UwrFP/OUEQsha///47ffv2JSoqKl5fXJUqVZgwYQLe3t7pFk/VX3fz5s0sX76cv//+G4jfj5gtWzZatGjB+++/T/78+R2+FkEQsiYnTpzgk08+4Z9//nGor6Rn1KhRbNy4Ubumvkd55syZNGzY0OHPJQiC41DnFz8/P/bv36/ZCicnJ8qUKcOaNWtwcXExnDv279+Pv78/+/fvB4i3/wsWLEi7du1o3749+fLlc+h69euIjo4mMDCQU6dOsW/fPh48eMDNmze1deTPn59cuXLxv//9j+rVq1OtWrUEryMIQtLo45y//fYb/v7+7N27F0h4ZivAokWLqFOnTppipJcvX2bOnDns2bOH8PDweHMd1Zq6d+/OyJEjgbSdYRJ6ziVLljBp0qQE5zpWqVKFJUuWSF2/IKQzUVFR7Nmzh/HjxxMaGmqIt6haNngsdjRo0KA09etZLBYOHz7M/PnzCQwM1K6t/Bh4bBPq16/PpEmTyJUrV7rPxxYEIXGSEmy0r/nw8vIiICAgRb1/V69epXfv3ly6dMlwLdVTWK1aNcaPH5+pfcHq2VVOSh/bcXV1ZfXq1ZQrVy7T1icITwuJCTbGxsYa9j2kj2CjHr1N2759O0OHDgUw+FOq18fJyYnGjRvTtWtXKleuHO/zgiAIgiCkP1KtJQiCIDiMxAQb4XHQOnv27MybN4+SJUsSExOT7kJjqgnCZDJphT02m43Dhw9rgTWr1aqt5dGjR3Tq1CnFwo2JCZeIEJIgpC8J7W0gyb3duXPnNAs3vvzyy/Tr1w8gQeFGNUhvxowZwOPiJDXYJi2BN/VsP/zwgybYqAL86l5FihRhzJgxKRZ8EwQhfVF2SQ23AzThRv3vVcHirl27GDJkSIqFG5VN8fDw0MSUlHCjvnFdXX/v3r189NFHzJ07l1OnTsk5RRAczJYtWxg3bhwQX7CxSZMmjBo1Ci8vL23vq/NAQntLP6DTZDLx6quvpmgNKfn+V/cvWLCgdpZJTLjRZDJpQ0PHjx+vJfL0xYXi9wiC41D7Su2pxYsXa0N09QNpYmNjOXHiBOPHj0+1cKOyAS+99BKjR4+OJ9yo7JPVaiUkJAR/f39MJhO9e/fWCood6Wf8+eefHDx4ECBeoWSpUqU0wRKxG4IgCIIgpJUaNWqwbNkyfH19DaJvqtH84cOHbN68GUCEGwUhA1E+TI0aNdi+fTtWq1VragoPD+f48eN89tlnlC9fnl9++YUtW7ZocVWIa4JSjd3Kj7h48SIXLlzg0KFDeHt707NnT8qWLUvBggXjxVvSE33OqmrVqtrr+/bt0/wqJycnIiIiABg7dqwINgpCKnFycuL+/ftMmDAhnmBjqVKl6NWrF15eXtp704OEBBtdXFyIjo7GbDZz//59Nm7cCCDCjYKQxUmsti2jBRtVLFjdNywsTAY7CMIzhJeXF2+99RYnT57k3LlzAFpNx+3bt9m5cydVq1bF29vb4LdcvXqVgIAA7t+/b6gzsdlslCtXjgYNGtCyZUu8vb0TvG9oaChr167lt99+48iRI1gslnjxkbt377J48WIKFChAkyZNEq1vU6+/8MILvPPOO7zzzjvYbDYsFosmouLq6pqk7ZKcjyCkDbX//Pz8OH36NCEhIZpNiImJ4eeff6ZLly7kyJFDq5EtUqQIRYoUoUKFCpw6dYr169ezb98+oqKiDLZAXV/h7OxMREQEf/75J3/++Sfbtm2jVKlS9OvXD09PT0MMQ2pABOHZQn3/V6lSBZvNRmxsrKE2Pjw8nLVr19KiRQty5MiR6YMsXVxcNFuocHZ2JleuXOTKlUuGbArCU4q+TrV///4ALFiwQMupqEG7ZrOZGzduMHfuXAARbhSELMby5csZP3689u+8efPi6emJt7c31atXp0CBAtSqVQs3Nzdy5MgBxMUM0kvE0c3NjTZt2gCP6+JVrDY2Nlbzo2JiYhg0aJAm3KjP+wqCkLWpWLEiX375pUG4UV/7brVa2bRpEwBff/214cyRFMpOODs7s2TJkkSFG+FxLHfVqlUAItwoCM84NpuN8+fPAxgG5JYsWZISJUokuvf1NkXVteqFG/V1Zdu3bwfg22+/NXxOEISsgdqvhw4d0gbnqloTk8lEnjx5aNq0KS+88AKQfvVr+tklLVq0wGw2s2DBAv755x+Db+Xk5ERkZCR79uyhRo0avP322zKLRBCeEypUqKD5Skq40RG+Ehhz2EeOHOHq1ataLEWdX5YtW0b58uUpUKBAej+qIAhpRPXWXb58GYirH4mNjaVw4cLaLEh9zLZevXqYTCZMJpOhR0bZheDgYNasWYPNZqN9+/YOFYzWr8PV1ZX69etTv359+vbtS2RkJDdv3sRsNhMTE6OJNibkS0kuWRBSjj5XUrt2be31vXv3avvfYrEQGxur5Vp69eqVZuFGHx8fbRZSYsKNJpOJpUuXAo9FVVJzhrFHP9dRCTbaz3UsXLgwo0aNwtXVVXwpQUgBT5IbcXNz48033wSIJ9yoz++q+GlahBvNZjPVq1fX/h0YGGg4z8BjO/Prr78ybNgwEW4UhEwkKcFGNStNnT88PT1TLNgI4O3tTf/+/Rk+fLhWKwtx88+CgoLYtGkTvr6+mdb/bzKZCAsLY+vWrUBc/xHAm2++KYKNgpACkhJsBGMv8YgRI9JVsBGM/lXTpk0BGDp0qKF2Te9n7dy5U/ts5cqVpZZNEARBEDIYySQIgiAIDsE+sKUCUHry5MnDmTNnCAsLw8XFxZAYSy/0zdkNGzakW7duWvBcFUUC8YQbg4KCNMc1IUS4RBDSD3vbkJCtSGhv16hRA0h8b3fu3JkzZ84kubcTQwk31qtXj+zZs2vDgfXrUcKN8+bNA+KKn1ODuu7+/fsZOnSoIbGvfu/h4UGrVq0oWrQogCT2BCGLYC/c2KxZM/Lly6clvpTNsBdujImJSZFd0gs39u3blxYtWlCwYEEAg03SCzd26NCBdu3aGc4pgJxTBOEJOHToELNmzSI2NtYwWNdms9GyZUsmT55M3rx5tb2U0j2Vmr2nkmznzp3jq6++0gbUJHZdvXDjW2+9RZ48eRI9X23YsIHRo0cDj88Y0dHRCfo9qpBB7IkgpA29r9CjRw969uypNSLov9fthRtPnz4dbwhdUtgLN1auXFkTm4W4cwNASEgIy5Yt0/yZtPhN9qjP37hxg1mzZnHjxg3tfvom1V69ejm0EUMQBEEQhOcXJdwIaH6bGpJjNpt59OgRmzdvZuXKldogHUEQ0hfl3zRt2pSyZctqjYwmk4no6Gj27dvH77//TtWqVRkwYACrVq2iWbNmvPTSSwCaMJu+CUJ93snJiRs3bnDo0CH8/PwYPHgwM2fO5ObNm0RFRRn8p/TMS9sLN/bu3ZvXX39d+70+dqKETjIiTy4IzwIqfvLzzz9z9erVeA3W1atXp3z58um6hsQEG9XeVucMJdwYEBDA1atX03VNgiCkjcQEG9We9vLyShfBxgEDBiQo2AiPzwkNGjQgICBA+50gCM8G9erV45133gHi8jHKDuzdu5ctW7YAj/0Jda44evQox44dw2azGWIa9erVY8KECfTp0wdvb2/NVigxRvVz3rx5ee+995gwYQIdO3YE0PK6EHduuX37NlOmTCE4ODjR+jb7hlOVv3J2diZnzpzkzJlTE2wU/0YQHIvaf0qIEeJqRM1mM5cvX2by5Mla/YbCZrPh5eVF/fr1mTFjBhMnTqRHjx5A/PiKer++9gPg9OnTbN26le7duzNy5Eh27drFgwcPABFiFYRnlSpVqtC0aVPDHldnkbNnz/LFF18AxBuKl9Hoa9FUfFj5dOJHCUL6kFF7S1+j1r9/f3r37k327NkNOR574cadO3dy7969DFmfIAhJs2zZMk2w0c3NDYC7d+/y77//8ssvvzBx4kSGDBlC8+bNeffddxkzZgwLFy7k4MGDhIWFcf/+fcDobyj786R2SAk3jh49WqtXVb6PGiYMj4d77tq1S1uHxDkE4elACTeWLl1aqyNRYiROTk6YTCY2bdrExx9/DKS8Ll6fP1qyZAm1atXSBnfqa0NMJpMm3Lhhwwbu3bsnNkQQnlFMJhOffvop1atXJyYmRsvdVK5cmfz58ycZN9XblGXLllGjRg3NpiibpezX9u3bGTp0aLzPCYKQ+ZjNZsLCwti4caNhb6r+PB8fHxo3bmzI2aQX+txus2bN6Nq1K4UKFQIw1MqqnPC8efOIjo7Wcs+CIDz7KOHGMmXKONRXUnlmT09PXnnlFe2zENdDfPHiRa129kn7kgVBcDzqLHD06FFu3bqlxUrVXlbibGr/6uMcdevWpVu3blqPjLIpqg7l1q1brF27ljVr1nD79m2Hrtve57Jarbi4uODh4UHp0qUpWbIkL730El5eXjg7O0vuWBCSIbVzHWvXrk23bt1o0KABgKG+Xs11hMezQg4ePJimGKkSbnzzzTfx8PCIN9dRrWnp0qVMmDABSNscFP1cxyFDhiQ41zFnzpy0bNkSHx8f7T6CICSOvp7rjz/+SFPPvhJuHD16NHnz5tXmAqjaMHVm2b59O9OnT+fKlSupvocSbuzTpw+1atUCjHNqwSjceP/+fYfMWxIEIeUkJ9ioflaCjWnp/atTpw6NGjUCjPUoTk5OhIeHs3XrVg4ePEh0dLQjHy1FKHtz69YtQ95ZPZuatyAxXkFInKQEG9VcD2VPvvjiC63PJr0EGxV6H6lp06Z8++23QJw/pebYK0HpnTt3snz5co4dOxbv84IgCIIgpC8i2igIgiA8MQkFtvTNB+rPf//9x4IFC9i8eTP379/PMOcvOXE3+yRgcsKNItgoCOmHfp9s2rSJ4ODgRPeN/d7u2rWrQZQ1ob2dEcKN06dPT5Nwo9629OnTR7Mt+nWazWYqV67MO++8Q44cOVK1fkEQ0p+MEm7MmTMnffr04d13301UuNFkMnHixIl4go36n+WcIgip4+rVq2zatIkbN25or6nBds2bN9d8ovQs5tUPCO/SpQv+/v5MmDCByMjIRD+TFuHGUaNGAeDq6spvv/0WT7ARRABWEJ6UrCrcuHjxYmbMmAE8mXCjslcxMTGMGDGCv//+W/PRlO8E0LlzZ+rWrZumewiCIAiCICSEvXCjOvuIcKMgZB4WiwVnZ2e6detGzpw5NX9EiS4qHyR79ux4e3vz5ZdfMmXKFHr27EmhQoXiibSZTCasVqsWg1D7/Pjx48ycORM/Pz9GjRrFP//8E2/QZ3rlphMSbvzf//6n+T4zZ87UYif69QiCkDQqZrF7927u3bunNUXGxsaSP39++vTpY7ArjiYpwUa9XdELN27atEmEGwUhC5KcYKOnpycBAQHpIti4e/fuBAUbLRYL9evXZ+7cudrn0rPJSxCEjEPlf1RuVp0X1JAXeOwj/Pjjj8BjW/TgwQMWLFhAeHi4NkDKarXSqFEjpk6dSpkyZciWLRsQd0Yym82Gn9W1ihQpwtixY/Hz89PWo95ntVpxdnbm+vXrjB07lsjIyBTZnqTeI/6NIKQPBQsW1JrB1dlFxR5OnjxJYGCg9hrE7UVlg9566y1GjBhBQEAAnTt3xsfHR6txUfZIfUYN7ITH9iQ4OJi9e/cyaNAgBg8ezNSpU7l7965Wm6LPNQuC8PRTrly5BGtcTSYTBw4cYO3atUDmfefbbDYuX75McHCw9po6+xQrVixerb0gCKlj8+bNfPrpp/zyyy8cP35c+75PSMg9vb77ExJuzJYtmwg3CkIWxz7mGhUVpeVxIS5u4eTkxN27d7l27Rrr16/n22+/5b333uPdd9+le/fujBs3jtmzZ3P8+HGuXr2q2R99LEORWjuUmHCjGsQlwo2C8HSTmHCjioeml3CjqvMX4UZBeD6wWq3kyJGD2bNnU6NGDSwWC7ly5eLNN9/Ufp8UyQk3KpuihBuHDRsW73OCIGQeao/v27ePkJAQzZ9QvX5ubm4MHjwYLy+vDBMI0vcjtm3blo4dOxp+p3LTzs7OBAUFMWPGDOn3FYTnjPQSbgTw8PCgc+fOwOMctj7HHBISwuzZs7V/C4KQtVD79c8//yQyMlKLX6i9XL58ecC4f7OKcKOe5OrcpAZXEBJH7xesWbOG8+fPp2iuY0LCjepM8bQIN6ZkrqOTkxMVK1akSZMm5MyZM1XrF4TnEb1NWbx4MV26dGHNmjVcvnw51ddKSrhR9SWDCDcKwrNKUoKNag/qe//SItgIkDdvXm2GtIqVqLpZJycnrl+/zty5czlz5ozjHzIZ1HPMnTuX27dva7no2NhYihQpQtu2bQHp2xGExEhKsBHi9o7JZCJv3ryabxMTE5MhcYSkhBvVOUfVx4pwoyAIgiBkHpJdEARBEJ6IhIZa2Q+91As4qiaE9evXZ6pwY0LibiowlZhwoypQTEiwUT23CJcIQtrR75OVK1fy8ccf899//yX5mYREWZ9G4cakbAs8DqbbbDYKFy6Mn58fJUqUSNW6BUHIOFIj3Ggymdi1axcjR47UigUcKdyoL5QEEWwUhLSivscPHTrE7t27tYENagjNG2+8wbhx44D4BTmOxH5A+L1793B2dmbNmjWMGzfOocKNGzduZNy4cRw5coRevXqJYKMgpBNZUbjx3r17LFq0iIkTJwJoyfzUYLPZtHNN3759OXLkiObTqNgKPG4A+7//+z+teEAQBEEQBMFRiHCjIGQtVK6mXLlyeHh4aD6D+t3Ro0eZP3++9v5s2bJRqlQphg8fzrRp0xgzZgz58+c3+DGqwVMN1DSZTNo1g4KC+P777+nSpQvDhg1j8+bNBvHGjBJu9PX1pXbt2nz33Xc0bNgQkNiJIKSFX3/9lZ9//hmIG6Tg7OxM165dKVSoUIIN2Y4gMcFGfU2MHnXOuHfvHhs3bhThRkHIQixdujRe06aqY4uJiSFv3rwZItiozyEpwUZVV6L/nCAITz9q2B3AkCFDqFChgpYj0Q+PWLZsGX///TfwWKT6ypUrBsHGOnXq8PXXX6dapFrd+4MPPmDw4MHaaypXo+zgqVOnNEECaeAUhKxJ5cqVqV69erzhENeuXWPv3r1A/AEM9jUrlStXZtiwYQQEBNCxY0cqVqwIPD5/6PPECuVjKVv122+/MW/ePHx9ffniiy84deqUVi8iMQ5BeLpR3/89e/akVq1ahppT9XNoaCg//PADx48fz7R1mkwm7t69a4jJqPNOpUqVcHNzk+G/gpBGli1bxsiRI1m7di39+vWjQ4cOtG/fnl69evHdd9+xe/dujh8/rp0b7L/7HSkgIsKNgvB0sWrVKi3mqq8vV6jeOlVrr++7VXnd27dvExQUxIoVK5g+fTq9evWiefPmdO7cmU8//ZTly5fzzz//cOPGDcN19aSkJ1Av3KhqcUW4URCeHRISblTCiukl3KhiNCLcKAhPH2nZm/pe3tmzZ/PKK69gsVi0OGtKegiTEm5U5yYVA962bZsINwpCFkLt8aNHj2KxWOLFSAoWLEiRIkUM782odanevD59+tCxY0fDLCSVEwY4cuQIN2/eBCQnLAjPE+kl3Giz2ahQoQJNmjQxzDRR9icoKIhff/1Ve10QhKxFeHg4165dA4zzFitVqkTx4sUTnTuS1YQbBUFIPfZzHceOHcutW7eS/ExKhBsBQ64lKwo3pnSuY6FChejfvz8lS5ZM1boF4XnEXmDtm2++AWDTpk2sXr2aS5cupfqaiQk3Auki3FizZk3t2iLcKAiZR1KCjSoW6wjBRnUuadu2LU2aNDGINarfmc1mzp07x+eff54ps0d+/PFH/vjjD80mqbx0/fr1tbORIAjxSUywMSYmxlATrwgNDcXX15czZ87g4uKSYXsrKeFG5U8p2ybCjYIgCIKQOYhooyAIgpBmEgpsqZ8VSTUhZLZwo724mwpQ6cXd9MKNMTExCSbflDMuwiWCkHbsg+ZffvklANevX0/2s0+7cGNSiX01uDg2NhY3NzfGjh1LpUqVUrVeQXieSOg8kRkB5pQKN6r3/vDDD3z66adasUByAfyUCjfq7yOCjYKQNlRyPTg4mGnTpvHgwQNtoK/NZqNixYoMHjwYV1dXg+CAo0lsQLhi/fr1DhduXLFiBd26dTP4PSCCjYLgaLKicGNUVBRLlixh+PDhmr+SGkwmE2FhYfTs2ZPffvvNINioYkPZs2fn7bff1ooZBUEQBEEQHE1KhBu3bNkiwo2CkIGUKlWK9957D4gTBlD+0JEjR7TGbP3r5cuXp2PHjgQEBPDBBx9QuXJlTcDEarVqgz0BwwA+Z2dn7t+/z759+xg5ciSDBg1i4sSJhIWFERUVpd1H/7cj0PtwNWrUYPLkybz11lvafSR2Igip599//zU0QakBWK+88gqQPgOvEovHqrioPtYBcXtfhBsFIeuxc+dObTCDq6trvKGWTk5O9OnThxIlSmhnibSSlGCjsg8ggo2C8Lyg9nzBggVp1aoVBQoU0M4OqlZNP6zuyJEjxMTEEBsbi9VqxcfHhz59+pAjR45U+xL6erh+/frRo0cPAMMACyXCFBgYCIjwmiBkVQoUKEC1atW0WIkSNwHw9/fnwIEDKbqOi4sLefPm5ZNPPmHy5MmMGDGCEiVKkD17du0MpI+P6AVe1QDPs2fPsnHjRjp16sSoUaNYu3atJsICyDAIQXgK0e/9li1bkjdvXoMtUDGXwMBA1q5dS2hoaIav0Wq1Eh0dzY8//mhYk7KFpUuXBmTwryCkBX0/oJubmxabOHfuHAcPHmTu3LkMGDCA7t2707ZtW7p3787ChQvZvn07165dize4zp607EsRbhSEpwObzcbff/+tCSerflv1u8T2vxJJ1IuHqL5jJycnoqKiiIiI4M8//2Tt2rWMHz+e1q1b06pVK/r168fo0aPZvn07f/75J8HBwQAJ1u0n1COohBvHjBljEG4ERLhREJ4BEhNufFIxkqSEG5UwpAg3CkLWISV7Lq25ENXzkyNHDvz9/Zk7dy65c+dOVUw0KeFGJaAkwo2CkPWw2WxERERw+vRpzGazwfcBeP311/Hx8cmUtSnbAfDxxx/z+uuvx+vdAzh+/Dh79uwBJCcsCM8biQk3PonIvclkwtXVlapVqxoEDuBx7DY0NJT9+/dr7xUEIWvh4eHB22+/TbVq1YC4np5XX32VnDlzJrpv0yrcGBISkjEPJghCkiQ21/Hy5cvJfjY54UaVp8mqwo2JzXXU9wXFxsbi6urKZ599RuXKlVO1XkF4HklMYM3NzY3w8HBWr17NunXr0tSzn5Rwoz6/6wjhxr59+4pwoyBkMskJNkLc3FQvL680CzZC3GxogDFjxlC7dm2sVquhZ1nNjjx9+jQff/xxhvYEBwcH89NPPxESEqKdX5QNbNq0Ka6urunSQy0ITzuJCTYmlFtV9sbJyYmLFy/y0Ucfcfbs2STnxDuapIQb1bwUEW4UBEEQhMxDTtyCIAhCmkgosGUymbTAlqenJxUrVjQ0Njwtwo0mkymecOPff/+Nq6srgYGB8UTVQISQBOFJSCxobjabuXnzpvaepEhob9eoUQPI2sKNySX29XZm6tSp1K1bN0X/H4LwPKK3JTt27GDHjh1A5gWYUyrcqIZq7dixgwkTJmjnkScVbtSLZovAmiCkHZPJRFRUFAsWLOD27duaYCNAnjx5aNKkCSVKlNDemx4kNiA8NjYWi8WiFRU5WrhRoQoNxZ4IQvKk9cyRWcKNVapU0URn1fr1gze3bt1Knz59OHbsGA8fPgTiD7TRD8QCuHfvHgcPHsTPz49Dhw4ZRAz0hUrt2rWje/fuhs8KgiAIgiA4muSEGx8+fCjCjYKQQSjfoVKlShQvXlzzO5S/s3//fnbv3g2g/U7/WW9vb7p3705AQAAjR46kUaNGQFyjuP5aemEBFTf5/fffWbJkCR06dOCzzz7TBFHU/RwdQ1b+laenp/aaxE4EIXXYbDbCw8NZu3ZtvPhj7dq1qVOnTrrcN6l4LMTFSwH+97//aQ0QCr1w44YNG1i5cmWaGkEFQXAMLi4uVKpUCTc3N6Kjow0xSni8Z2fPns3333+vDdhLy7kgKcFGvRikCDYKwvOHq6sr//d//6cNc1G2wWw2ExERwYoVK9i5cyfnzp0D0AbXvPTSS5QrVw5Imy+hr4cbMWIETZs2BeLyPGod33//PYcPH07r4wmCkI6oM4mvry+vvfaadoZRPouzszOHDh3S4p1JoR+QV6RIEXr06MGMGTP46quvqFChgmZ7FCpWov+jrxn5/vvv+fTTT+nduzfTpk3TBFMEQXj6UOeM2rVrU7JkSSDunKAXn9+4cSOLFy8mKioqw9am6mAtFgt//fWX9ho89qWKFy/OG2+8YXgOQRBShr+/v6EfMCoqyhC/0OdXoqOjOXPmDEeOHGHy5MkMHTqU1q1b06xZMz744AOWLVvGDz/8QEhICGFhYdo99LEQSHldXWLCjfpriHCjIGQuJpOJsWPH0qFDB9zd3YG472379+ntir42VWG1WrVBeKpWXb1f1ezfv3+fX375hQ0bNjBixAi6dOlCly5d6NWrF59++ik//fQTf/zxhyGPo0fZFDc3N1q1amUQblT1rarXEES4URCeVhISbnxSMRJIWrhR37cnwo2CkLmovRgTE8OjR4/Ytm0ba9asYdy4cQwZMoTPP/+cGTNmEBAQwPXr17l//36q76EXblQCJ6kdkJuccKPqHRLhRkHIOphMJm7evMn58+exWCyGfQpogo2Z1RenfBpXV1c6deqEt7e3oUdQxXd27txJaGhopqxREITMnQ2UkHDjk4jcq2fp2LEjtWvXNtThqZjMmjVrOHDgQDo/mSAIqUXt1TfeeIPu3btTrVo1nJycyJ07N++8847hPQmRWuHGdevWiXCjIGQRVO5FnyN2cnJK01zH2rVr4+vraxBuVPtfn2vp1asXBw4cSLNwY//+/WnYsOETCTcmNddR5aH0cx3r1auXov8PQXieSUpgLSoqSquNX7RoETt27EhTTDMx4UaV3xXhRkF4NkiNYKOnpycBAQFpFmxUqFhqtmzZ6N+/P+XKlTPUyKvaFbPZzMmTJxkyZAj//vuvYx44GdauXcv3338PGP8PBgwYIKLSgpAISQk2qr2sR33Pq9jFxYsXGTx4MEFBQVlKuFE9mwg3CoIgCELGY7LJt6wgCIKQSuwDWyqIrIYxeHp6snXrVvLnz4+vry+HDh3C2dlZa6TSD8Dy9vamY8eOtGnThly5cmWY2If+Prt378bf318bPqMPjKtgXc6cORk+fDhjx45NMPkmwiWC8OQsWLCAyZMnA48HVkVHR/PGG28we/bsFAfJU7u33d3dWblyJS+//HKaAvFnzpxhzpw57N+/n4iIiHgD/FTAbtCgQfTt2xeIC/ClJLGvbMvMmTNp2LBhvGcUBOEx+n2himpeeeUV+vXrl+l7R9337t27zJs3j23bthESEqIVNeuLkfPly0f37t3p2bOnoXkzKZQtefDgAfPnz2fLli3aICwnJyfMZrOcUwQhjah9cuvWLfz8/DRxNDWUu0KFCsyZMwcvL690W0NyA8LVOvXJ9rZt2zJ69GhtUE1SzxYcHMycOXP48ccfuXv3rsEuqPeIAKwgpAz9Xjhy5AjFihXTBJVTin5wzZIlS1i8eDG3b98GMPgaat9XqFCB0aNHa4VAKd2L6r3nzp3j22+/5fDhw/H8GfWz1WqldOnS1K1bly5dulCkSJFEr/v333+zevVqAgMDuXbtWoKCjVarldatWzN+/HiAJyqIEgRBEARBSCmHDh3C19cXiCtWVkMzLBYL7u7utGrVig4dOvDiiy9m8moF4dnn008/Ze3atZoPo2It3t7ezJgxg7Jlyyb4Ob3/EBUVxf79+1m3bh1//fUXoaGhWhzDXkBNP9xT5YlMJhNvvfUWFStWpHPnzgBaPju1A7UEQUg/QkNDad26NcHBwVp8wWq10qJFCyZMmODw2GRqBBs//fRTOnXqxPz585k2bZphqDmgnTNy5cpFq1at6NSpE8WKFXPYWgVBSDn79+9n/vz5HDt2zDAcAtAaKz08PPjiiy94++23gdTlPvTN3wMHDuSnn34yCDbqfxbBRkF4/lD25OrVq3To0IHQ0FCt5ladLfLkycODBw+0c4arqyvLli2jUqVKDrv/77//zvjx4zl37pzmOynfZ+zYsbRv3/6J7yUIQvoQHR3NN998w4oVKzT7oc4w+fLlY82aNUnmcO3R1/GbTCaOHz9Ojx49iIiIAIxxFPtaWPU75e8oChQoQOPGjalXr542lE9/L0EQng7+/fdfOnTowIMHDww9Qvp4SP/+/Xn//fcztM7ju+++Y+7cuVrcV/3dvXt3hgwZEk/8SRCEpFm3bh2ffPIJgKF3BeLXjOr/ViIiKp5hP1yvcOHCuLi4UL16dYoUKUK5cuUoW7YsOXPm1ETdFPphV4ntX31MZfbs2SxYsIDIyMgEzySFCxfGz8+Pxo0bkzt3bof+fwmCEB+1P2NiYpg4cSJbtmwhPDwcwNAzDBhsiP1wK5V/0ffU6P0Q+/iFygMrYSN1PfW+0qVL4+XlRbVq1ShTpgyFCxemTJky2Gw23NzctPtGR0cTEBDAN998g9VqNdSQ6Gvlp0+fTqNGjbR7S628IDwdHD9+nE8++YRz585pdex6P8Jms9GyZUttPkJK69j1OZ0ePXoQGBio1Zjo7Zd+ZkLr1q3JnTu32BBByACio6O5cOECixYt4uLFi/z111+JDqwsWLAgxYsXp2vXrtStW1frvcvIWKbepnTr1o3Dhw8b5rDo7VezZs2YNGlSvM8JgpBxnDp1Cl9fX6Kjow01ZK6urqxcuZJy5cpl8gofc//+fcaMGcOuXbsM8V01iNzf35/y5ctn8ioF4flG+QaZ0U974sQJPvnkE/75558n9pXUGWvx4sV8++232hwnfRy5R48eDBkyRPLFgpDF0Mco9uzZw6xZs4iMjGTlypV4enqm+hoHDhzA39+fffv2AWg2ReWAChYsSLt27Wjfvj358uVLn4cSBCFFJDTXsUaNGixbtizF8Qb9/g8MDGTZsmXs3bsXwNDHp8+1LFy4kLp166YpRnr58mXmzJnDnj17CA8PjzfXUa2pe/fujBw5Eog7wyQ11xEw/CxzHQUhZSQnsKbPtWbPnp3Nmzfj4+OT5vtFRUWxZ88exo8fb6i9t5+x1rRpUwYNGpSmfj2LxcLhw4eZN28ev//+O0C8vmSbzUb9+vWZNGkSuXLlkvlIguAAkrInap/rBRtXrVr1xIKN9kRFRbF161bmz5/P1atXDfNg1c8Wi4Vy5coxcuRIXnvtNbJnz+6Qe9ujF6LW27fXX3+doUOHUqZMmXS5ryA8zSQl2AjGuvf8+fMnOL9RxS6KFy/Od999R9myZTM0lqm3hdu3b2fo0KEAhudQ9bFOTk40btyYrl27akKu4rsIgiAIguMR0UZBEAQhVSQn2Ojl5UVAQADFixfXPtO9e3d+//33ZJsQsppwo1qrvhFVBBsFIX148OAB9evX5+HDh4agedWqVVmxYkWqrmW/t5cvX86hQ4eArCPcGB0djaura4oEG8W2CELSJJaAc3Fx4ZVXXqFnz56Z3ixtL9y4detWbYg4xAXuAV566SX8/Py0gaApITHhRn0CTmyJIKSd2bNnM336dABtyEP27NmZN28e1atXT7dEW2IDwtUZQY9eTBIcL9woZxNBSBr9XliyZAkTJ06kc+fO9O3blwIFCqTqWhkt3HjhwgWmT5/OgQMHePDgQbziAv0AHS8vL5o1a8aLL75I8eLF8fDw4M6dO5w6dYqLFy+yfft2zVboB+Xor9OkSROtqFsKEgVBEARByEiSE24EaNeuHSNGjCBHjhyZuVRBeGZR/s6lS5fo27cvly9fNgwCzp49OyNHjqR9+/aJ+gv2fk9YWBg3btxg5syZ/PPPP9y4cQNA298q7qr/nD6GAlCpUiUqVqxIx44d8fb2jjecWBCEzOPHH3/kgw8+MAzlj42NZfz48bRu3dqhsYWk4rH28dcxY8bQpUsX7bMpFW7s3Lkz3t7eDlmvIAjJo/8u37dvHwsWLHC4cKN+UMWAAQPYvXu3Zpf0sV4RbBSE5xtlD/bt28fgwYOJiIiIN6QK4uIVSoStcOHCDvNJIiMj+fzzz9m0aZNWm6fOKnXr1mX27Nk4OzvLsDxByKJcvHiRtm3bGvK5ykfp0KEDo0aNwtXVNcXXU/7Pv//+S58+fbhx44Z2XVUfomptE7JXQLx1qJxws2bNeO211+jQoYO2JhnGKQhPDzt27GD06NHaeUXfK6TiIn5+frz33nvkzJkz3ddz4sQJxo8fz8mTJw2CcQArV66kSpUq6b4GQXiWiIqKYuXKlcyfP5+7d+8a+uaSw15IDYzD6uwF15ydnXF3d6dAgQJUr16dF154gXr16uHh4cELL7yQYFxEXUudG/RnCCXcaC80LcKNgpBx6OOlKRVuVDXojRo1wt3dnZiYGA4fPkxwcLB2zlA5XScnJ4Ogq7190tshdQ99/FV/dgHInj07xYsXJ0+ePNSpU4d8+fJRpUoVChQogMlk4ocffuDjjz/W/B11bX2tvgg3CsLTiSPFSPSIcKMgZE2OHz/OL7/8QkBAgHYeUXVjak+qn9WQXUXbtm35v//7P15//XVAhBsFQTCi7MaWLVsYMWJEvDiK2Wxm69atlCpVKpNXGrfW8+fP06lTJ+7duxevXrZnz54MHz5ccjaCkEEsWrSIU6dOUaBAAWrXrk3BggUpVqyYoU9F7ydkhM/gaF8pJCSEtm3b8t9//8XLKefOnZv169dLvawgZEH09mbv3r14eHhQpUqVVJ0RRLhREJ4uoqOj+b//+z9tDpma6/jSSy+xZcuWVF3raRBuTGquIxjzQDI7SRBSRmYJrCUm3AjG/mARbhSEp4fkBGD1P3t6ehIQEECJEiXSZd/dv38ff39/1q1bR3BwsCbWqK9fsVgslChRgu7du9OgQQMKFiz4RGcG+8/aCzYqG+fp6clHH31EmzZtnvxBBeEZIzWCjSNHjqRAgQLMmTOHc+fOAU+XcKPq1RHhRkEQBEHIGES0URAEQUgxiQW29IFyfWBLNVpCfOFG5Yg+LcKNKohm3zQmyTdBeHKsViuxsbG0bNmS8+fPG5onCxUqxPr168mTJ0+qrplVhRsHDhyIn58f8LjwoGfPniLYKAgOwt/fn6+++goAV1dXoqOjMZlMVKhQIUsJN965c4eZM2eyfft2Q+ODfrBVgwYNGD16NN7e3iler71w4/bt27UB5TNnzqRhw4aGdQiCkDw2m42oqCgGDx7M/v37DYMmypUrx+zZs3nhhRfS5d6JDQi3TwzqRdH0r4PjhBvlbCIISZNYQRA8bp5+7733srxw4+XLl1m2bBm7du0iJCQkQcFFe1ETZ2dnLTakH8KpLwJS5xv1uzZt2jBu3DhAmsUFQRAEQcgc7IUbLRaLweeZPXs2b7zxRmYuURCeGp4kLhAeHs6wYcPYu3dvPLEQHx8fNmzYkOqB3xaLhRMnTrBr1y7Wr19PVFSUlndJaJinfuin+n3u3Llp2rQp1apV46233jIM65JGKkHIHNauXcunn35q2LtWq9UwJNcRpFWwUTV0Q/LCjblz5+bdd9+lU6dOFC9e3GFrFwQhadJTuFEf4xw4cCA//fSTCDYKgpAkDx48YN68eSxdupSYmBiD0DzEiY5UrVqV5cuXO+y+ypadO3eOLl26cO/ePcPvy5Urx8aNGx12P0EQHIs6V3z11VesXLkSQPM7bDYbr732GvPmzcPLyytFTeLqPRcuXKBnz57cvHlTq0dRsdLcuXPTpUsX9u/fz8mTJ7XP6nPBCYk26fPJr7zyCo0aNaJhw4ZZYmCxIAgpIyIigpkzZ7J8+XKio6MNQ6j0+7x79+50795dq51LjzqyR48e8d133+Hv76/dX9mggQMH8v777zv0foLwvHDnzh1+/PFH5syZw61bt+IJLwIJ1rbb16zpUecSJYyicrD6swE8FlAzm8289tprFC1alNKlS1OpUiU8PDzixUzVmUUfg501axYLFy4kMjLS8F4RbhSE9OXmzZsJfucnJ9yoj3lUrFiRVq1a0bZtWx49esT169c5f/48R44c4ebNmxw9ehSbzcb9+/cN99bnkpWQgH3+FzCcQ/Q19nobZrVa8fLywt3dnXLlylG6dGmOHz/Ob7/9Fu+Z9XUkItwoCE8nItwoCM8H27ZtY968eVy5coXo6OhE45dJxTLLlStH27Zt6dixI5B1hBv1YpMi3CgImcv333/PkCFDDD6Gs7MzefLkYfv27amegZJeqHktY8eOZfPmzZqtU3awQYMGzJ07N7OXKQjPBcuXL2f8+PHav93c3IiJiaFkyZKULFmSEiVKUKdOHXLlypXoIPD0ql13lK+kXl+6dCmTJ0/GYrEYbGRsbCxdunRh+PDhWnxXEISsgz5GERUVhZub2xNdQ4QbBSHror7f27dvz19//aXFGsxmM56enmzcuJH8+fOn6prJCTequraMFm709fXl448/1tYlcx0FwTGkRGAtsTnUjvBpEhNuVLONRLhREJ4ekrMn6nc2m408efKwZcsWChYsmC77Ta0lLCyMRYsWsXnzZkJDQw0z59XPFouFfPnyUatWLXr27MnLL7+sXSc1OSX9c1y6dIn169ezcOFC7f9AxWhsNhvvvfeeJt4m5xRBiCMxwcaE5gAMHz6cnj17ArB69WpWrlwpwo2CIAiCICSJiDYKgiAIKSKxwJZKQnl6erJq1SqKFy9uCAjpC3+fVuFGvdiACDYKQvoxZMgQvv/+e0MThLOzM+vXr6ds2bKpvl5K9rZ+P2eUcOOoUaMoX7487dq10xL7KrgntkUQ0oYa2gtxjdl6kaCsItyozj5hYWFMmDCBH3/8UROXhLihEUCakmZ64caZM2eyefNmPv/8cxo3bpyq6wiCEMfJkydp164dYGzUHDBgAAMGDEiXeyY1IByMhUu5cuXi/v37hsZSRwo3uri4EB0dDcjZRBCSQ99MlS1bNm04VFYXblTcunWLHTt2sGrVKi5fvqw1Xenvo0RNVBJfrdG+MUs/gAvAw8ODVq1aaYXOUoAoCIIgCEJmohduzJ49OxEREQDMnDmThg0bZubSBCHLovcxbt26pfk3TxIfOH78OL6+vkRFRRmaPi0WCyNHjqRbt24AqYqLKs6ePcvatWtZtWqVtk793/rmDf299cM7GzduTIUKFejQoQPu7u5pekZBEJ6cpUuXMmHCBENTgdVqdajQcmLxWNXQoI/H6gUb9XERZYOSE27MlSsXQ4YMoX379g5ZuyAICWN/NkgP4casINiYkHiBIAhZn5MnT/LVV19x/PjxeOIoKh9dr149FixY4NB8is1m486dO/Ts2ZOgoCDN/qncz7Zt2yhevLjkgAUhC7N7926tTkU/QBOgf//+DBo0KNlrJCTYqOpNVO1qnjx5WLduHd7e3lgsFpYvX87JkyfZsWOHdh19jYpCH2dRPpCbmxtRUVF06dKFQYMGkStXLgf+jwiCkF6EhITw7bffsn37dmJjYw39NPo4ybvvvkubNm2oVq0a4HhRg3nz5jF16tR4961evTojRozglVdecdi9BOF5486dO+zYsYN58+bFE25UqHiJk5MTrq6uBqFENeBGLySt92nUe9S5QOHk5BRPyDFbtmy4ubnx2muvkTdvXl5//XWKFCmCj48Pnp6e8dY+a9Ys5s2bR0xMjCFmI8KNgpA+LFu2jJ9//hk/Pz9q1aoFpE64Ub3fZrNRqlQpevToQePGjfHw8DDc5/r16zx69IhDhw5x/fp1goKCOHfuHI8ePeLRo0fa+/QDthIalKlHb4dU3au9oKzK8yQUDxHhRkF4+skM4cbEZiaIcKMgOJ7Vq1fz9ddfExUVBRhFQZTvofaqvoZD7+uoeEehQoXo0aOHVq+WkXs1KeFGZbNEuFEQMpfERBs9PT3ZsWNHPP8ms9m8eTMjR44E0AaLA3h5ebFixQqKFy+eiasThGcf/Ww2FxcXrT7NPt8Cj88vFStWJE+ePNSoUYPixYtTpEgRSpUqleC1HVVD4khf6ejRo/Tp04eHDx/Ge77XXnuNefPm4eXllaGDzgVByDj0vtP+/fvx9/dn//79gAg3CkJWY+zYsaxZs8bg1wCsWLGCqlWrpvp6yQk3qjOFfk5SRgg39u/fn3r16tGpUycRbBQEB5BawcaE5lA7AhFuFISnn5TYE4iLZ7Zq1Ypx48YBjq9LtV9TaGgoCxcu5IcffuDmzZvxhBvVGsxmM+7u7gwfPpxKlSrx4osvatdKqM9YnzfWnzVWr17Nr7/+yi+//KL9HyhbY7VaadOmTbo/uyA8jSQm2KhsiH7u6siRI+nevbvh82vXrmX58uUi3CgIgiAIQqJIFZYgCIKQLIkFtlQSysvLi4CAgAQD5er9zs7OLF261CDcCEbn7urVq9rwzIwUbtQHxfQDeQ8fPqw9jwpkSfJNEByP2jt58uQB4vaks7Mzzs7O3Lt3L03XTWhvm0wmDh06pO1ti8VCbGwsLi4uPHr0iM6dO6dZuPHll1+mX79+AAkKN6omz/Hjx2uNV/rCAv3PYlsEIXXky5cPDw8PwsPDDQPtVBLrxIkTLF68GIBGjRrFS4hlFGo9Xl5eDB06lNu3bxMYGKgF+vWN4AsXLuSll16iWbNmKV6nun7OnDl5//33adOmjZbYE1siCKlDJcyCgoKAuOSVs7MzNpuNV1991fA+R5EawcaRI0fyyiuvMGzYMMMgPbXO2NhY1q1bB5CkcKOyiQULFtTOMkq4UQQbBSFlrF27VhNsdHZ2JioqStuH/v7+AKkWbtQX4/To0QNAE260L8yJjY3lxIkTjB8/Ps3CjQUKFNDODtOmTePUqVOafVC+U0IDttS/9XETfRFDpUqVaNq0KZ07dwZEsFEQBEEQhMynRo0aLFu2DF9f3wQFG8XnEQQj+j2xfPlyfvnlF/r370/VqlXTHGdVQznr16/PTz/9pA3BUn5HYGCgJq6akuur2ExMTAwuLi64u7vz008/aU3eKuekrq8fJKzeowqV1b127tzJzp07Wb9+Pe+88w61a9fWipdBfBtBSG/U3r99+7b2b4hreFQDwh0RnzWbzZw/f5527drx8OFDQ6NGcoKNYIzh9OnTB6vVysyZMw1CsKox6/79+5w/f/6J1isIQsKsWrWK8PBw+vTpE6/RUX9mef311wESFG5U+eXw8HA+/fRTAN5+++14Zx79AMwBAwawe/du7VygPyNkhGDjgQMHmDlzJpMmTcLb29sh1xYEIX0pX7487du35/jx41qNiPJPlL1ROVpHYjKZ8PLyokKFCgQFBWl2Tw3HefDggcRDBCGL07BhQ1q2bMmmTZs0u6FiHHv37qVJkyaJDvCElAs2rly5Em9vb6KionBzc6N79+5YrVaaNGnCjh07CAwMJCwsTLuuftCesi2qNlYNTK9Zs6YINgrCU0S+fPn44IMPuHfvHvv37zcMEtbXpW3ZsoUbN27QvHlz2rZtq8V50xI3tY8DL1261CDYqOxMrly5eOutt0SwURCeEE9PT9555x2AeMKNaj+aTCZcXFwoW7Ys7du35+eff+b27ducO3eOiIgILW6qz8MoH0NfS6avN4uNjdUEVFTMNDIyksjISA4ePIjNZmPr1q3YbDaKFClCiRIlKF68ODVr1iRHjhxUr16d999/nxw5crBgwQJCQ0O12LG63o0bN5g7dy6ACDcKwhPi7++v9RPnypULk8lEzZo1DfFSdUZwcXFhxIgRAJpwo/JB1PvPnz/PsmXLsNlsNGnSBHd3d+09RYoUAaB06dLA48GbDx484NatWxw6dIjg4GAOHDjA/fv3uXXrFoAmAqC3KYDB/qi/1WvKl9IPJdbHh/ViTqrXMCYmhkGDBml1JRI/EYSnhwoVKvDll18axEj0fovVamXTpk0AfP3115pNS86n0c9MWLJkiUG4EYy5ZP3MBBFuFATHsXjxYr755hsA7byh90X0foK+x19fQ6YfoPvff/8REBCAp6dnqnp5HYHepvj7+xuEG/XP4OTkxLZt2wCYNGmS4XOCIKQv+tyt8m9iY2MJCwsjODg4y4g2qjPG//73P3x8fLh27ZpWtwZw7949Hjx4kMmrFIRnm6VLlzJhwgQgbh6biosChniKzWbDYrFw9OhRAPbs2QM8FlgtWrQo+fPn5/XXXydfvnxUrVoVDw+PeL6KfSwjpWcYR/pKVapUoX379ixevNhQ+2K1Wjl16hRLly7lo48+EoEBQXhG0ceK69Wrp72+f/9+g01xcnIiODiYtWvXAohwoyBkIGqPenp6Gl5X3//3799P03X1+79WrVra63v37jXsf9XnFxMTw3vvvZdm4UYfHx9tFlJiwo0mk4nZs2czZ84crXZN5adlZqwgpJ6sItgI4ObmxptvvgkQT7hRP69x+/btAGkSbjSbzVSvXl379++//57gDOpff/2VkSNH8vXXX0s9iiCkkOTsif0MM5vNxv79+5k4cSJ+fn7kzp07XcTT1H3z5s1L7969yZMnDxs3buTy5csAWqxExTpMJpPWb/jSSy9Ru3ZtWrRowQsvvKDVyOvXqO9pvHLlCqdPn2bdunUcOnTI0Lusal9sNhtNmzbVBBtlhoEgxJFWwUZ9bVi7du0ANOFGfR5Z9RRfunSJDz74IMOFG/X+VdOmTQEYOnSo5k/FxsZqtXEWi4WdO3dqn6tUqZL4NIIgCILgIKQCSxAEQUgS+6KghALliQk2KpISbtQ3dULWFm5UTWSSfBMEx6L2z2uvvQagFRmqgZsnT56kRo0aadpnCe1tm80Wb29npHCjCt7pg3tiWwThyXjjjTeYOnUqI0aMIDQ01BAEV/s8qwk3FihQgPHjx9OxY0eCg4MTFFvbtm0blStX1prQU3N9Dw8PrdlDbIkgpB6VKDt8+DDweJCuaoLw8vKiUqVKhvc5gtQINo4ePZquXbsSHR3Nxx9/zNdff20YqKcvKkqLcKPZbGbdunVER0fL2UQQUsArr7xCrly5DIXJ+n34tAg35syZk7p161K9enXGjBnDb7/9RkhIiGFoMMQNs1E/6wuM1HkGoEuXLjRs2JCaNWtq/ydSECQIgiAIQlagRo0a2tCsGTNmiGCjICSCfk/4+/vz1VdfAeDh4YHJZKJKlSppirOaTCY8PDyoW7cuu3bt0oTN1D337t3LmjVraN++fYqva7VacXFx4fz58/Tq1Ytbt25pfoyKr7i7u/Po0SNDEba9qIDe11Jxmrlz5zJ37lw6derEq6++SvPmzTXfRuyGIKQPal+5u7sb/q1iEydPntSGij8pMTExrFmzhocPHwJGgcjkBBsV+hiOn58fAN99951hMLCKnZQtW9Yh6xYEIQ7VtJk9e3ayZ89O165d0024UcVKAQYOHJipgo2HDh3Cz8+P2NhYRowYwTfffEPRokUdcg9BENIHZYdatmzJ+fPnWbhwoSaClJC4iSNzKsp25MiRw/C6i4tLuohECoLgWJT9qFmzJjt27NDqQpS9CAoK4syZM5QqVSrBWEVKBRsDAgIoWbIkFosFNzc37fNOTk68+eab1KxZk5CQEObOncvZs2c5ffq05qfpRWjNZrNW66KETQRBeLp44YUXGDVqFJ999pk2JEbFU/UijkeOHOHixYscOXKEzz//nOzZs6f6XnpfKjg4mNWrVzNnzhwATQQOHtvCli1b0qlTJ+3fEpsVhLSTnHAjPI6dXr58mejoaGbNmgU8js2Gh4dz/PhxTp8+zfXr1wkKCgKIV1umzgf6IXb69+mFHwFNiCQ2Npb//vuP69evc+DAAVauXInJZKJUqVLkz5+fmjVr4uXlxb1797BYLCLcKAjpgH5QHsBPP/2knfdr1Khh+A5OiXCjiteeO3dOq6dt2rQp2bNnN3ynq/e7uLiQN29e8ubNy8svvww8Hq5psVg4duwYly5d4uzZs5w8eZKIiAiuXbum2RYw9jKrdUOcfUqoFtb+PTabzTBMeMCAAXz33Xe89dZbDvyfFgQhvcks4cbEZiaIcKMgPDmrV6/WBBv14vE2mw0vLy8KFixIhw4dyJs3L97e3sTGxnL06FGuXr1KQECA5kOo/LA6p1y6dIktW7bw0ksvUaZMmQx9pqSEG5XgWmLCjdKjIwjpT+HChXF1ddVio/DYD3J1dSUiIiKTVxeHOlvkzp2bAgUKcPnyZe01lY8OCwvLzCUKwjPNpk2btNlseoEgwBD3gPhxUYirV7137562V5WQY6FChciTJw8VKlSgXLlyFC1aVJvNpGaJqGupM0VyPofylcaMGcO5c+cMvpI6YyTnK6kzSr169di+fTshISHAY38oW7ZsREZGsm/fPnx9fcmbN2+a/28FQcjaiHCjIGRt1P585ZVXgDjfQOVATpw4wRtvvJEmMZKsKtyonlPVrslcR0FIPUkJrKk8a0YJNipSI9xoMpkYOHBgugg3uri48PPPP/Phhx8yf/58h/UICcKzSnL2xP67WOVsgoOD2b59O05OTvTp0yfdhRu9vLzo1KkT+fPnZ9WqVZw6dUqbMaCP5yhbc/bsWYKCgti2bRseHh7UqFGDIkWK4OHhQZ48eXBycuLWrVv8999/3Lx5kwMHDhAVFUVERIRmJ/WzJJ2cnOjQoQNjx4413EsQhKQFG202m2Ev2Qs2Kpuhfn6ahRtjYmIM8/N/+uknTCYT0dHR1KhRI93XJwiCIAjPA3ICFwRBEBIlMDBQKwpyc3MjKioKSFug/FkQbtT/H0jyTRAchwpCFSpUCIgTRVIo4ZO07rOUirJmlHCjWpM+CSeJfUFIO2qv1K1blwkTJjBy5EiDcKMawJDVhBstFguFCxdmypQp9OvXj/v372sJOlWccPToUc6fP0+RIkVStU774L7YEkFIO6GhoVrhIaAl1lQDhKOS24kJNqpkoD4xqB8Q7urqyv/+9z/MZjPjxo0zDNbTJ/rXrVuHyWRi1KhRKRJu7N27N1FRUTRs2JAGDRpozy72RBDiY7FYeOWVV/D396dXr16JFvc9LcKNFosFV1dXvvnmG3bs2EFgYCDr1q0zCM7rh22q54THBQpeXl4UK1aMPn368MYbb2jXVcVIgiAIgiAIWYVatWrx22+/4eXlBYjPIwj2JNYMAY+bG5VfULly5VTvHXXtdu3asWfPHn799VeDSJrVauXAgQO8/fbbmkBkUuiFB3r16pWo8MCWLVu4c+cOmzZtYt++fVy8eFFbj77JQwmlKAEnwODXbdu2jRo1avB///d/+Pj4pOrZBUFIHSp/rI/PAty9exeInw9JCy4uLrRr146oqCjWrFlDbGysoTYkOcFGhZOTk9YAUaFCBXLmzMmjR48MjVlOTk4iqCYIDkZ/TomJiWHmzJlYrVZ8fX1TLdyoFyZISLhRL9g4YMAAg2CjyklDxgk2du/eXRtydezYMYYMGcKUKVMoUqSIQ+4lCILjUf6GyvmcP3+eX375Rattgcd1ui+88EK63BviRLEV6r7S1C0IWRu1h9955x38/f35+++/tTyxykfPmDGDSpUqxTsLpEWwMbG8rru7Oz4+Pnz++efcvn2bTZs2sXv3bs6dO6cNHlXXhMf1sKpmV+KvgvD04e3tzeeff84333zDL7/8QkxMjGZz9HW5oaGhbN26lXPnztGxY0dq1KhhiJva+0TKHqi/lc3ZunUru3fvZteuXQBanxE8tmXvvvsuI0eO1P6dEUMwBOFZJynhRni8X+/du8fXX3/NvXv38PPzo3z58gDUqVMHgOjoaP79919u377Nr7/+SkhICH/99Rd37twhMjISm82m1Zbp4ygqbqPuo/7WnxmUjVAiJf/++y/nzp3j6NGjWvxWf77Q9w2IcKMgpB37QXlqH//888+aeHPVqlUNn3GUcKP6frf/nrfZbLi6umI2m3n99de1+O7Dhw95+PAhJ06cICwsjIMHD3Ljxg0uXbrEgwcPDAPuVA5Y/7O9/YH44o16xKcRhKeTxIQb9WcSRws36kXWQIQbBcFRbNu2jfHjxwPxBRvr1q1Lhw4dqF69Orly5TJ8rly5cgA0b96cJUuWEBgYSFhYWDzhxgMHDlCrVq0MF21Uz5MW4UZH9zcKghCfvHnz4uTkRHR0NBDnF0RERLB//35ee+21LBOvVPbg1Vdf5ciRI9q5Rvl1V69ezewlCsIzS9myZSlcuDC3b98mJibGEP+0F2/U50kUKoahPqOvQ7t9+zb//fcfZ86c0a5TrFgx3N3dqV27Nvnz56dKlSoULVpUi4Mm5GvY+yB6X8leuDElvpKyezVq1KBs2bLs27cPs9mM2WwmMjISgPfff18EGwXhOSAh4UaTycS+fftEuFEQMhn1fa3qyeznOiqx6LT6MykRbtTPdUxP4Ub9c6n+QPs6NpnrKAjJk5TAmn7mUEYKNiqSEm7Uz1hT8VNHCzeqvkGADh06SExWEJIhJQKw9jNg9Tmb27dvs3XrVoAMEW708PCgadOmlC9fnilTpvDzzz9r79HPkdPXnYSFhXH79m0uXLhguJ5+zrRC2RF7kblChQrx7rvv8sEHHwAYehcF4XlH7fkrV67QuXNnTbBRfR+nRLARjPMbnwXhRvXzjh07qFKliog2CoIgCIKDMNkSqhwXBEEQBODatWvMnj2bjRs3Ao8dUpPJ9ESBcn3hr71wo72z6u3tTceOHTNUuBGMAb7du3fj7+/P4cOHtd9L8k0QHI9qom7VqpVhCJ7FYqFhw4ZMnz4deLLBm0ntbZXg1yfb3d3d0yzcCHDmzBnmzJkTT7hRvw5J7AuCY9Dvmf3798cTboQ4oUSTyUSFChXo2bMnjRo1ivf5jCY6Opr58+czf/58oqOjtXWo9VarVo158+bFG5wnCEL68/DhQ1q3bs2lS5cMif0yZcqwdetWh9mOxAQbE0oM6geE688n0dHR7Nu3L55wI6A1YAK0atWKr776Ksn1qOeKiorCzc3N8JogCAmj4hlBQUHxhBvBuA+7deuWauFG/T0AlixZogk3AoYzjyrOqVChQpqFG+0LBfbu3cuxY8f48ccfuXv3Lvfv34/3mUqVKlG4cGF69eqFl5dXugwUFgRBEARBSC/E5xEEI0k1Q6jhLdmzZ6d8+fJ89NFHVKhQIU33sNlszJs3j2nTphl8KOXXLFq0iBo1aiS5R1MqPLBy5UpKlSoFPI6jPHz4kPnz53PmzBl+//137Xr261AFzqpR3MXFRRu+s2zZMilkFoR0ZseOHXz00Uda7EM1LBUuXJjly5dTuHBhh32HX7hwgSVLlrBu3TrttZQKNtoTEBDAF198of1bNVvlzp2blStXUrJkSYesWRCed/TnFH1excvLi+7du9OnT58EP6c/W+zbt88g3KiPtSqb4+HhwdixY7Vmp4QEG5V9yGjBRhcXFy0HbrFYKFOmDLNmzcLb29sh9xQEIf2w2Wz8+OOPzJgxQ2vSLlOmDE2bNtXsV3rEK2bNmsXMmTM1X0fZvC1btlCmTBmJjwhCFkbViGzbto3PP/+chw8fGuriPDw8+OSTT2jatGm8oXeOEGxU2NumS5cucfbsWebMmUNISAghISEAzJw5UwQbBeEZITg4mBkzZrBt2zaioqK0Wjb9kGHlk+TKlQtPT0/8/PwoVaqUJu6WGDdv3uTatWssXLiQEydOcOfOHSB+nLZJkyZMnjwZIEOGfAnC005oaGiqBmHfuXOHHTt2JCjcCI/3YbZs2ejfv7/mr0RHR+Pq6prg93xwcDD37t3j7NmznDhxglu3bvHHH38QFRXFw4cPDe9V+13FZOyF1OyHc+nXpI/jqNfs6/ALFy5Mv379aNSokQg3CkIKSGxQntpT8HgY1HvvvZfg59X3dExMDBMnTtSEG9U1IE58oHTp0nTr1i2ecGNy6PNF9nkbFY+9fPky//77LxcuXCAwMJD79+8TFBSkvQfi7Ivqa9ZfV6GPO+t9HEEQ0kZmxwdOnDhhEG7UCz4rO9CyZUvNDqbU99DnguyFG/V1J5k5M0EQngX0e9jJyUn73rbZbDRr1oxPP/0UDw8PwJi/1e9Dk8nEjRs32Lx5MwEBAYSEhGh+her5cXNzY+XKlbz66quZ8px6m2Iv3Kj3g6xWK40aNdJmLwiCkD7YbDZCQ0Pp0KED169f12yPsivvvPMOU6ZMyexlxmPFihWMGzfOILBmsVj44osvtIHEgiA4nn/++YeBAwdy5cqVBOOXEBfXVD/bD/K3f7/eX9DPRNILQtpsNnLkyIGrqyulSpWiYsWKFC1alNq1a+Pm5kbBggUN17Sf7Xby5EmDcGNqfCV1rT///JMBAwZw7949LfYisRRBeP6wn/vk7+/P/v37ATSbomxYwYIFadeunQg3CkIGYLFYuH79Os2aNSMqKkoTGrJYLNSpU4d58+ZhNpufKE6p3/+BgYEsW7aMvXv3AnFnGDDmXdIq3Ahw+fJl5syZE0+4Ub8e/b1krqMgpIzUCDZ6eXkREBCQYYKNeqKiotizZ0884UZ7IbRmzZoxaNCgNPXWWCwWDh8+zLx587RZ2eq6epsiCELCpMaeuLq6Eh0dnWA/H0D+/Plp3rx5ugo3JsS0adP49ddfOX36tLZ2+9kDCiUIl1DNm/qdeg3i6mbefvttGjVqxNtvvw1IbawgJMTVq1dp27atNpdVCdGnVLBRj/53a9eu1YQbgQRtUPHixTNcuBGMNmb79u0MHToUeGw3VbzWarVm2RyVIAiCIDytiGijIAiCkCT//fcfc+bMYe3atVrgx9PTk4CAAEqUKJGmwM7TJty4Z88e5s2bx8mTJ5k+fXqWEHgShGeR6OhomjdvzqVLl4C4YPOLL77I2rVrHSJYlpxwowpip7dwo/4eIIl9QXAEKRFu1DdEZCXhxuPHj/PRRx9x48aNeIMufHx8WLZsWbyCaEEQ0p/79+/TokULbty4AcQNmCpVqhTbtm1zyD2U/3P+/Hk6d+6cZGIwuQHhSrjxyy+/JDg4OEHBOJPJREBAAJUqVXLI+gVBiONZE25MiMjISO7cucO5c+eIiorCycmJXLly4eHhQdmyZcWXEQRBEARBEIRngOSaIUwmE66urkRFRZE/f342bNiQat9Gz927d2nXrh1XrlyJNwSrdu3aTJkyhTx58iT42dQKD6gctd63evDgAT/88APbt2/n9OnTWrOmftiEIrG8jiAI6cf58+fp0qUL4eHhmg2y2Wy4u7uzdOlSypcv79B4xMWLF5k/fz6bNm3i448/xtfXF0i5YKN632effcbq1asNQ3JsNhs1a9Zk6dKlDlmrIDzvJDY8XJ0jihUrxvr168mVK1eCn0+tcGOuXLkYP348P/zwAzt27NBqR/R1JJkh2KhvVlXC0v7+/lSvXt0h9xUEIX2Jjo7myy+/ZN26dTRs2JDmzZtrNSyObri2WCxYLBYGDRrE3r17DUImJUqUYMOGDbi5uTnsfoLwvJHYnlVxBb0Q/ZNy/vx5evfuzY0bN+INgKhevTr+/v5A3FnEkYKN9s+m95NCQkIICgpi5cqVNGvWjHfeeUdbl+SQBeHp5+7du2zYsIFZs2bx6NEjg/1R2ItCe3p6UqVKFYoXL06NGjVwdnYmV65cPHz4kNOnT3Pz5k2+//57YmNjuXPnjhaX1ceibTYb7dq144svvgAc62cJwrPK/PnzmT9/PosXL05WOFVPWoQb7YVQ9IPIExJyjIyM5MCBA1y7do0///yTS5cuERMTw8OHDw1Dq/T5Ir2tSawNXt1LH89R17FYLOTJk4fBgwfTtm1bsSGCkASJDcrTixvGxsbStGlTvv3220TP+hkh3JgY6t7217FarZw6dYp79+5x+PBhLl68yJUrVzh37pxhQJ7C2dkZk8kkPX+CkE6ofZQZQyezgnBj8eLFadmyJR06dBBRaUFIATabjcjISObOncvSpUuJiooy7NlmzZoxadKkVF0zODiYefPmsWnTJqKiorT9qfbx4MGD6d27d4YO39STnHCjqt0DWLduHa+99lqGr1EQnjc++OADfvzxx3iDtnPkyMGsWbOoWbNmZi/RwJo1axg7dqy2XhVjmTx5Mk2aNMns5QnCM83Zs2cZNGhQPOFG+4H9ehEhhYq92OdgEhJyVNdWtW363mWFh4cHbm5uVKlShQIFClCxYkVefPFFvLy8yJ8/v+G9x44d47PPPtN8JXXuSKmvFBwczIcffsixY8cAiaUIwvOMCDcKQtalVatWnD592pBbLVSoEBs2bMDLy+uJr5+ccKM6U+jPQYsWLaJOnToOF26UuY6CkHpS0lOs9panpyerVq3KFMFGRWqEGwcOHEixYsVSfQ8l3Lhw4UIOHjwIGMXpxaYIQsKkxp7kzZuXJUuWMG/ePL7//vssIdyot2unTp3i4MGDzJ49G5vt/9m77+ioqrWP49+Z9EIaoYUSCAKRJs0CSlFRARFBpChKF1AQsVzEDgoICKiIXkVpCU1AUK9XXy+goCC9dxAkhBYIKZCeycz7B2ufnDOZ9EmD57PWXeQmmTlnXOvs7Pr8bGRmZmrtjZpz1c/b2Ic2QvY5R/X5vby88PLy4oUXXqBz585Ur14dKPj5ZSFuNRs2bGD06NGGfar6udCCBjYqFT24UQXd9ujRgxkzZuT4TEIIIYQoOgltFEIIka8LFy4wb948VqxYgZ+fHytXriz2RHlewY32hxDKQ3Dj//73P4KCgmjTpk2OnwkhnCMtLY2nn37asLhvMpmoXr06a9asybUob2HZBzdGRkayfft2wPECf0kEN6oDqCAL+0I4U0UObvzqq6/4+OOPtXtU9wMwffp0Hn/88TK5LyFuZXFxcfTp04dLly5pC/g2mw0vLy9++eUXqlat6pSFqpiYGJ566ikuXLhQ5MBGJS0tjZ07d/L2228TExOToz2pXbs23333Xa5FioUQxZNbcKPaNFSRgxsLOhaSMY0QQgghhBAVV36HIQBt7SQ4OJjIyEjq1atX5M28apwxf/58Pv30U7KysgxzMCEhIcyZM4emTZvmuEZhAxvtxzT2Y5eYmBjOnz/Pp59+yvnz5zl37pz2MxcXF8xms6zrCFEGEhMTeeKJJzh//nyOg0qPP/44H3zwAe7u7k695qlTp7h8+TJt27YFCn9gQc0rq3vWz/X27t2bKVOmlNmhVCFuFoU5BJ7X3+q8ghv1wQRqfVldSz2/+vahLAIbVd9E/7X+ELgQonxTz3ZycjLfffcdd999N40aNTL8zNkyMjLo06cPx48fx2Qyae1b27ZtWbBggYxthCgE+z6G+tufnp6uBY9VrVqVjIyMHGMWZzzjS5YsYfLkyQDa86zCDiZPnswTTzxRrHmTwnLU57IvOiGEqPhUIarXXnuNq1evAhj6FPZzN/oCNIq+OLG+YLg+qE3NRfv5+dGnTx/+9a9/adeX+RQh8qafM6lduzazZs0q1eBGe/pn3b5PYLFYSExM5OzZs+zZs4fY2Fi2bt1KcnIy0dHRht/Vz8moYCX9++ZW/EoVqAH4+uuvad++fYH/Wwhxq7Gfc9WHw9s/Z3fddReLFi3Kc1xTlsGNeqq9cPR+165d4/z581y+fJmNGzcSGxvL7t27SU5O1kKQQApvClFc8+fP5+DBg1StWpV27dpRrVo16tSpg4+Pj/Y7+merNJ6zsghuVH0m1TZWq1aNiIgIQkNDS/SzClHRqTbhyJEjDBkyhMTERMOz2qlTJz7++GO8vLwKPW/w999/M2LECC5cuJCj/9O4cWO+/fZb3NzcSuqj5Su34Eaz2ayNc2RtWIiSp/6Gz507l7lz5xoCANQ5wRdffJGRI0eWi6K46r7++9//8uqrr+Zo36ZNm0bPnj3L9B6FuBU4Cm7Ur6OYTCa6dOlCaGgowcHBrFu3jpiYGC5evEhaWpr2Pvp1FLUWrJ+ncRTmqK6l39OmuLi44O7uTmBgIE2bNqVq1ap07NiRKlWqEBYWxokTJ3jrrbe0PSWKes/8xkpr1qzhzTff5NNPP+WRRx7R7lHmUoS49UhwoxDlj9VqZdCgQezcudMQAB0UFMR3331HtWrVnHKd/IIbVX9GH6ro7OBGqesoROEV5kxxeQhsVFRw4+TJk4mLizPMg+hrOxU3uPGvv/7iq6++YsCAAXTt2hWQNkWI3BSmPQkKCiIyMpL69euTkpLC+PHjWb9+fbkIbrR/70OHDrF7927WrFnD6dOntb6G+mxZWVlaP0S/Nqw+M4CHhwd16tShX79+tGnThvDwcIf/3YQQOf3666+8/fbbXL9+3XCOtrCBjUpRghs//fRTGjVqVGbBjWrdBzDM0ZaHtSkhhBDiZiGhjUIIIQrk3LlzLFmyhL59+zqlQANUvODGvL4nhCgeNdnzxhtvsHbtWsOmZbhRZKZ169ZOe/bsgxsjIiLYsWMHgOFwuVrgd3ZwoyIL+0I4X0GCG81ms7aRp6yDG1X7d/ToUYYNG0ZiYqLWBqnF/3feeYcBAwaU2j0JIW7IzMzkySef5MSJE0B2++Di4sLatWtp0KCBU65z4cIFJk6cyP79+0lMTMyxybCggY1Keno6Y8eOZdOmTTkK09SvX59ly5bh7+/vlHsXQuSUW3Cjo819FS240Z6MYYQQQgghhLh55HUYQo1n1HxFUFAQS5cupV69ek5ZM967dy+DBg0iIyPDsEZjs9no1q0bs2fPNvx+cQMbc/vcAMnJyZw+fZq1a9eybt064uLiDAUrpCinEIV39epVKleuXOjXqWd92rRpLF68OEfB/2bNmvHVV18RFBRUYgcLinJQY9OmTbz66qukpaXlKHizcOFC7rzzTqffpxC3EmcfAs8ruFE/16qnL1YB5SewUfafCFHxOGqnSvL5jYyMZMqUKVr75uLigouLC++99x5PPPGEHNYUogDUc6L+3bBhAzExMaxbt46rV69y/fp1YmNjcXd3Jzg4GBcXF5o3b06TJk248847CQsLM4Q4FvaZV79/7Ngxxo0bR1RUlCEszWaz0bNnT6ZNm1ZqgY1CiFvP2bNn+fLLL9m9ezdRUVFa38I+vFFfTBiMfR/9mEuNu/T7ae688066dOmi7ZuVtkqI/OnnTDw9PUlLSyMkJIRPPvmkTIMb7an2wtFzfe3aNQD27dvHuXPnOHz4MAcOHCAxMZHLly8bCpKrPpl+HUu9PxjnTCTIRIi8OVobdhTCrv7WN2vWjGXLluUbYlReghvtqTbL0TViYmJISEhg//79HD16lHbt2smcqxDFoOYjFQ8PDzIzMwkLCyMsLIx69epx77334ufnR3h4uMM+RUmNBcoiuFFfLPyTTz6hS5cuTv9cQtyM0tPTGT9+PL/++quhr1K7dm3efvttOnbsWOT3/umnn3jttdeA7H6Pi4sL3t7efPPNN4UaS5UER8GNiqwNC1G6zp49S58+fbSzv5Bdp6BSpUqsWrWKunXrlvnzqPpTCxYsYMaMGVq76eLigpubG9988w2tW7cus/sT4lbiKLhRf+Y3ICCAJ554guHDh2t7YA8fPsyZM2f4+++/2bVrF8nJyRw/ftywf02FHelrs6n3BHLUFNAHOerXYezfr3HjxlSrVg03NzfWrVtn+B211pPbWMlsNmMymbh48SIJCQncfvvt2uukjyLErcu+7lNkZCR//PEHkDO4MSQkhMcee4xnnnmGKlWqlOVtC3FTUuOEyZMns2TJkhzh7l999VWx5lfs5RfcqPoU+vVcZwY3KjJ3IkTB5Bewpq+B5szARvvXF3UPuwpunDJliqG2k6q1pMZA3bt3Z+zYsUUObkxMTCQoKAiQNkWI3BQ1ADY9PR0PDw8yMjJ45ZVXyk1woyPp6els3bqVw4cPs23bNk6fPk1KSoqhtrTi5eWFt7c3derUoV27djRv3pw777wTb2/vUrtfISo6/TP+yy+/MGnSJBISEoCiBzY6eu+CBDfWq1ePTz75pEyDG1evXs3mzZv55JNPcnwGIYQQQhSfhDYKIYQoMDXB7cyDDnkFN+oPQZVlcKMQovTMmTOHL774wlCoISsriy+++IIHHnjAqdfStyEbNmwgIiKC7du3A44X+J0R3Dhv3jx++eUXQAr7ClGSChLcqC8QU9bBjUqvXr04evSo4ZCXxWJh8ODBTJgwQdoKIUpZZmYm/fr148iRI4bn0mazMW3aNB577LFij43Uc33u3Dlmz57Nxo0bSU1N1dqqwgY2Ki+88AK//faboU9ltVrp3bs3kydPLvL9CiEK5lYKbhRCCCGEEEJUfIUJbHTm4Sq9jz/+WAs6UgUibDYbQUFBTJ8+XTt8qQpXlETwgP1Yac+ePRw7dozPPvuM69evM2vWLB555BGHvyuEcGzevHnMmzePBQsWFLmY3Zo1a3jzzTeB7CJ5at5jxIgRvPLKK865WSd55513WLVqFZDdnmVlZREcHMySJUsIDQ2V9kOIIiqpQ+AFCW7UF7MCtGJTWVlZdOjQgXnz5gGlE9io5pbV5wYpLCGEyF9sbCyTJk1i3bp1mEwmba3Ky8uLpUuX0rhx47K+RSEqjJiYGNauXcvOnTvZsmWL4Weqj6IPJVOCgoKoWbMmI0eOpE6dOjRs2LBY9/Huu++ycuVKrb+ixh5ms5m33nqLBQsWcP78eQlsFEKUiGvXrnH48GEiIiLYtGmTVhTHvrgfYBhL6f+/fXFzZeDAgXTt2pWWLVsCEtgoREE4WttRff7yGNyop28PHM1pqOJ3u3bt4sqVK/zxxx/ExsZy7tw5EhMTtd/T75V1c3MjLS0NkDkTIfKT25yrvuid/rlRoQJr166lWrVq+T735TW4Uc/+fJGjzyTthxCFp29f3NzctDkLNW+iHwO4uLjQokULAgICuPvuu6lbty41a9akfv36Dt/bWWOE0gxuVKHaIGeKhSisa9euMXjwYO1sn5pH6NChA7NmzaJSpUpFel+bzcaZM2cYNWoUZ8+eNfR/AD744AP69OnjrI9RZPo2pW/fvhw4cEDaESFKmc1mIykpiZdffpnNmzc7PB/Yo0cP3nrrLfz9/cv4bm+YOHEiK1asMMzNBgQE8P3331O9evUyvjshbh25BTeq/oyPjw9PPvkkffv2zTH+yczMJDMzk8OHD5OYmMhff/1FVFQU//zzDxcuXNCCGPXPuRrLqJ/Zhzfq972p+zCZTNp8kPqeel/A8NrcxkqO9stJH0UIAQULbnRzcyMjI4PAwECWLl1KWFhYWd6yEDe1RYsWMW3aNO3vvfp32rRp9OzZ06nXKovgxnnz5vH999+TlZUlcydCFFB+Z4r1z6kzzxTrxxB79uyhVatWgPODG8FY26kowY3ShghRMEUNbLSvb1+egxvtr5OSkkJaWhrXr1/n1KlTpKWlaevibm5uhIWFERAQgLu7Oz4+Prm+jxDihtz2keq//vnnn3nllVcYP348Q4cOBYr3TBU2uLFu3bp88sknhIeHl1lwo6N7F0IIIYRzOKc6iBBCiFuCmiB35qFnNZHm6urKokWLDMGNYBwIRkdHs3z5cgAJbhTiJqOe5cqVKwPZhzrVv8ePH+eBBx5wauEF/QbDBx98ULuPHTt2aNexWq1YLBbc3NxISUlhwIABRQ5uvP322xk+fDjp6en07t3bcE1px4RwLv3z3b59e6ZNm5YjuFG/cXj//v0sWLAAgIcffjhHUZiSlpGRgbu7OyEhIRw9elS7L7X4n56ern0uIUTpUBuHwsLCOHLkiHYIQm0q+uuvv3jssceK3S9R7U2tWrV45ZVXMJvN/N///R8Wi6XIgY1nz55l//79hmuoTYtyqEqI0qH+loeHhzN//vwcwY2qKKbFYiEiIgKg0MGN+g3RQ4YMAdCCG9X3VX/GYrGwf/9+pkyZIsGNQgghhBBCCIPCHoZYtmyZUwMb1fVbt25N5cqViY+PB9DmMmJjY9m9ezf33nuvVhyvJAIbIXv+VY2pWrVqRatWrbj33ntJTU0lPDw8x38zIUTuFi9ezOzZswF49dVXmTVrVpGCGx9++GG+++47du/eDdx4BlUb9X//93/cfffd3HvvvU6996LavXs3v//+O5B9mFyt9XTt2pW6deuW4d0JUbE5OgRuH9hY1H6Kfm24Q4cOAPkGN6rCvZ07d2bu3LlA6QQ2ZmZmGj43SPiAELcC/bOdmZmJm5tbju/nZ8WKFaxbtw4wFqAYNWqUBDYKUUDR0dHs2rWLWbNmERsbq33fxcVFC3NWfRRVGMJsNmuBBNeuXSMuLo7XXnsNDw8PVqxYQb169Qp9H6qfMHjwYLZv305UVJR2fTVWmjp1qlb0QfVRJLBRCOFMfn5+tG3blrZt2/Ljjz+ye/duvv32W21eVx9iqy8CrAr9qv6IKrgTGBjIbbfdxpAhQ+jYsaPWPqkiwEKI3OW2tqP6BhcuXGDcuHGFCm4MDAykW7duAA6DG00mE2lpaXzxxRcAjBgxwrCXrTD0YxpHgY0uLi4EBQXx8MMPA/DUU08BcPLkSS5evMipU6fYsWMH8fHxHDhwQOuTgcyZCJGf3NoPNX7w9PTEbDaTkpKivcZkMmlzlAV53tXfejc3N15//XUALbhRtRmq/Th58qS2n7Y0gxv1768+k/11pf0QonBU8W/IblPUfnbIfsbUeCErK0tbC96wYQMAQUFB1KpViypVqtChQweCg4Np06YNlSpVyjFGyC8EOjd33HEHH3zwgSG4UZ0bUn2ftWvXAvDhhx8aCobmRV8zYeHChQwfPpzNmzcDEtgoRFH89ttvHDlyRPv/at5hwIABVKpUqcjPkslkol69erRq1YqoqCjt++oZvnjxona9snxW9W3KypUr2bVrF23atCkX9ybErcJkMlGpUiUef/xxNm/ejMVi0faRqDmIPXv2sG3bNh566KEyLZKr+irnzp3DZDIZwm7r1q1LYGCgFPIVohQ1atSIOXPmaMGN+nAkFxcXkpOT+e677zCbzfTv35/Q0FAAbS7Fzc2NO++8E0AbR8TFxfHPP/9w7tw5/vzzT+Lj4zl06BAZGRmkpqZqr4cb/QhHAYxqnlc/3+toHkSt76h/9fe/du1aXF1d+eCDD3B1dZW5FCGEQ/Z1n+BGm/Lnn3+SlZWFh4eHVkvpvffek8BGIUpYQECA9rUaK1itVk6dOgXg1L1k+ue/bdu22vc3btxoCGdS+2EzMzMZNmxYkYMbQ0NDGT58OGlpaXTv3p37778fkLkTIfKS35lik8lU4oGNY8aM4dixY7z66qt07dq1yPtOPDw8tHqu9sGN+n21P/30E0ChghulDREif8UNbITsvSXu7u7Mnj07R3Cjvl7slStX+PHHHwFKNbjRfj+Jp6cn3t7eBAUFaXM6jqh5GvU6mZsVIif1DCckJGC1WgkKCtKeGf3Yolu3bjRu3Fg7p1/cZ1/f9+jbty+AFtyor9+o2qAzZ85oe3FLM7jRUX9E2hIhhBDC+SS0UQghRJmT4EYhhHqGGzdujJeXFxkZGYYiln///Tfg3NBYdV19cKPaMKgPbszKynJacGOTJk2YMWMGvr6+gCzsC1GSChrcqJ7zsgxuVO2IfnFNf2+q4J4QovTo+yY//fST9nyq7+/fv59z585Rq1Ytp1xLBTe+9NJLJCUl0alTJ/r37w8UfmEwISFBO1yh+jaurq6GAxrSBxGi5ElwoxBCCCGEEKK8y+swhH0QUlBQkNMDGyF7rqVDhw40b96c33//XZsHUfOj8+bN47777qNVq1YlFtiop5+HsdlshgMTMo4SomD0bYqnpyfR0dGFLgyueHl5Ub9+fXbv3q3Nhaj52ujoaDZu3Mgdd9yhrb+WBdU2HDp0iKtXrwLZBW1cXV1xd3fn7rvvNvyuEKLginposzDyC260DyZQ9/LYY48BaGEjzpBbYKM6/C6BjULcetSzvXPnTqKioggPD6dp06a57muxX19etGiRFjCrb0dbtGhBu3btSulTCFGxbdq0iTVr1rBlyxaSkpK0Z0mNUSB7f4Z6NhV9kKMKOLr//vupUqVKke5FPd9VqlShfv36REVFaXMo9teSwEYhRElS/ZAePXrQo0cPevXqxd69e/m///s/oqOjiYuL0wLvwbg/VmnYsCE1a9ZkwIABhIWFUa1aNcM1ZIwjRN5Wr17tcM4E0IIDKkJwY25y66+YzWYaNWpEo0aN6NSpE0OHDgXgyJEjJCQksHnzZu677z7uvfdeQOZMhHAkt8KbavwQHBzMF198wfvvv8+hQ4e0Z8jFxYW0tDSuXLlC9erVC3StihDcaE/aDCGKbu3atVpgo35tA7KfLdWfUH0X/TOnAt4TExOJi4sDsoMca9SoQUBAAHfccQeNGzemVq1aNGvWDIBKlSoZ3kvNieTXhqjgxrfffpuTJ08aghvVnpTiBjd+8803PPPMM/Tv318CG4UogoSEBCB7P5vVasXDw4Pg4GCg6H+31bPcsmVL1q5da5hjBTh06BBZWVnlouClvk2RwEYhSp963u6//346derExo0bDXOcJpOJc+fOERkZSZs2bahcuXKZrcO4uLhw+vRpdu7caQhZA7j77rvx8PAo9XsS4laXX3BjUlISq1atAtCCGx21H6pdCQgIoHXr1rRu3ZrHH38cgNOnT5OUlMSePXv4+++/OXv2rNaX0c8ZQ/aYS8312gc5gnHdW/89Neesxk2rVq0iNTWVmTNnSr9ECJErR8GNAFu2bNECG+fOnStzJkKUgttvvx0/Pz+Sk5MNZ3KOHTsGlGxdx7Zt22p9jJIKbqxXrx6TJ0/Gy8sLkPZEiLwUJLBRrRuXVGDj2LFjtUC2xYsXA5Tb4EYhRN5UexIZGZlve5JXjYKKENyo/7yOruWo/6E+p/RLhHBMPbtnzpxh7Nix3HXXXTz//PNUrlzZYXCjqvnhrGe+ogQ3CiGEEKLkSWijEEKIckGCG4UQcKPopv5gg3quY2NjS+ya+kk4tYkHjMGNVqtVW+AvbnCjvmCotFtClKyCBDeqTc1lGdyo2pCkpCQg52bmsLCwEr2+ECIn9ew3bdoUd3d3bdOhWjw7ffo0R48edUpoI2S3V7Vr12bmzJlaf6EwC3I2mw2LxcKqVatISUnR2jZViC8gIIAGDRpo1xNClDz74Mbhw4cTGxuba3CjzWZj+PDhOYrQFeQaEtwohBBCCCGEKIzCHq4qicBGRY1dhg4dysGDB4mNjcVkMmljJrhRaNfX15cRI0aUaGCjPfvxkoyfhMiffZuSnp5e5MLgNpsNFxcXRowYwebNm7lw4YKhMHBWVhbLli2jZcuWdOvWrcwOOJhMJo4dO8acOXO0e9aHpDRq1EgLgZN2RIjCKc1+Sn7BjfpQJvV8v/POO2RmZtK9e3eg+AUe8gpsVP8NJLBRiFuTCi3YtGkTTZs2pWvXrjz77LPanhc91R86dOgQ//3vf1m4cCFwow1RfRQPDw+6dOmiFTUXQuTu+++/Z9asWcTFxRkKRpnNZq2ApfoeoBX2d3Fx0faYKCaTiSpVqvDQQw8VO3i+UqVKPPfcc/z5559kZmYaDoTrQ6YlsFEIUVLsxyAtWrSgRYsWDBkyhJMnT/L3339z+fJlDh06pI11LBYLlSpVokmTJgQFBdG2bdtit4dC3MpUAU13d3cyMzNzhEffDMGN9uzfV3+tJk2aANCuXTutjZI5EyFysp9zVXvN9XOuCxcupEGDBly9ehVAG/uovfTR0dGFmlOoiMGNQoiiCQ8PJyQkhCtXrmjzFfq+g/5f9Wzr+y9qPUS9Rs1hZGVlceXKFS5evMjRo0e196lTpw7e3t60a9eOKlWq0Lp1a2rVqoW/v7/hWnr2bYoKbnznnXdyBDeq+y9ucOOSJUu0a+d2X0III9VH2bNnj+H7ao61Ro0axXp/9Qy3bNkSd3d3MjIytPcHSE1NLVfzqGoPnSLtiBAFl9vfbdXf0J+7c0R939fXl3bt2rFx48YcazImk4ldu3YxadIk5syZU+D+gjOp6x04cADAsMfWzc2N1q1bAzJXIkRZKEpwoz3Vnqi5ULX3w2QyaXVI1LxvZmYmly5dIiEhgT/++IOYmBh27NhBXFwcKSkp2utVoXG40dapcZAap9mvcytms1nbv9apUydn/qcSQtyk7Os+mc1m0tPT2bFjB3PmzJHARiFKiVpvUXvc4MbzmZiYWGLX1D//7dq1075vH9xosVicEtyoAhvVtYUQOZWHwMYxY8awfv167Zr79u0Dbjy3Xbp0KfJ+k7yCG9X1JbhRiJIxb948Zs+eDWS3J+pr/dm/evXq5dmeVJTgxtxI/0OIwlHP7NmzZ3nmmWeIjY0lKSkJb29vBg4cSHBwsGEdBvIOTi0qCW4UQgghBIDJpl8dFUIIIcqYflJ9yJAhbN26VSsWoz+EoQJNnnrqKQluFOImkpiYSL9+/Th37py2wG+z2fD39+e///0vQUFBJTYhpW9D1q9fT0REBDt27AAwFNVRC/ze3t5FDm4UQpQu/fP9559/5ghuBAwbie+44w6GDh3Kww8/nOP1JXV/hw4dYvDgwdpmZ/V9gFmzZvHoo4+W2PWFELmzWCz06tWLkydPGoqBWywWGjduzGeffUbNmjVL5NqFaXv0v/vss8+yc+fOHPfbp08fPvjgA1ngE6IMqOfu2LFjOYIbIfs5hRvPcGGDG/XXAFi4cKEW3AgY+jw2mw1XV1fuuOMOCW4UQgghhBDiFpXf4SrIXgtx5uGq/Fy+fJlRo0Zx5MgRQ4FQq9VKjRo1yMjIMByWkuABIcqf3NoUk8mkzX+EhIQUOrgxJSWFjz/+mBUrVmCz2bT9I+oabm5uLF26lObNm5fJPEdcXByzZ89mzZo1WgCB2tvi7+/PpEmT6NKli8zNClFIZdVPsV9b/vrrr9m9e7ehOK867GW1WqlUqRKTJk3SQgyK2g5JYKMQtwZH/YH82rCYmBgiIiJYunQpaWlp2j62++67jwYNGtCtWze8vb3x9fUlKSmJq1ev8sMPP3D06FGOHDkC3GhD1L5bq9VK//79mThxYq73JIS4YenSpXzwwQfa/1chRWp8o/oGNWvW1ALcTSaTFjivwpMg+295r169tD5OcdhsNpKTk3nzzTdZt25djiKaqv8UEBDAkiVLuO2222TeRAhR4orazkh/RIiiSUpK4plnnuHYsWM55gbsC2oXdX4WID4+np9//tlhcKO6lqenJy+88AIjRowA5LkWorwqzJxrRkYG/fv358iRIznGGR988AF9+vQp9PVVXyEzM5Pp06drwY1gDB0AaNCgAQMHDpTgRiEqoBMnTvDiiy9y9uxZrWidfTkbfTiIvsieagPsf1///Kv5Uf3vq3bKx8cHd3d36tevT4sWLahVqxbt2rXDw8Mjx958++J6Bw4cMAQ3qrlU1fex2WyGeR2ZZxGidLz00kv8+uuvhpDXgIAA1qxZQ0hISLHe22q1cv78efr06UNCQoKhLapTpw5r1qzB09MzR2CiEKJ8sx87qPpF6enpxMfHYzabqVq1KhkZGbi7uxtem9t8hv49hw4dyl9//WWYH1F9CqvVylNPPcV7770HlF5/QX9/zzzzDLt27TK0aU2aNGHVqlUyVyNEGTt+/LgW3KgfK6l1Xl9fX/r06ZNrcGN+9GGQ9s97UlISSUlJHDlyhCNHjnD+/Hl27dpFRkYGMTExht/VB9CrsRCg7WVT+9fmzp1L586dZc5GiAqqKHvYikvfXvzxxx9UqlSJli1b5viZEKJkJCcnM2DAAE6cOAGgzYt6eXnx008/UaNGjVKp6/jXX38RERHBxo0bAeN8r36vfFGDG4UQucvrTHFWVpahz1/SgY3q/fRrMTVq1GDatGm0adOmWJ8zPT2dDRs25Ahu1K93A3Tv3l2CG4VwAqvVyjvvvMN3332H2WzW5jmKEwCrfi8jIyNHcCNgWCeuUqUKPXr0KDfBjUKIglHPalRUFE8//TRXr17V+iFVqlThiSee4NlnnyU4OLjU7wlg5cqVWnAj4LANqlu3rgQ3CiGEEDcR2R0mhBCiXNFv3lm4cGGuwY0A0dHRLF++HECCG4W4Sfj7+xMYGMiZM2e075nNZjIzM0lNTS3RiSh1aMNkMtG5c2ft+zt27NAm761WK5mZmbi5uZGSksKAAQMkuFEIJ9OHNBfkb3pBfl//8/bt2zNt2rQcwY1q8T4rK4v9+/ezYMECAB5++OFC3U9hqfc9deoUycnJ2v3CjY1FVapU4fbbb3f6dYUQ+VN/2++++27t4LXFYtFC1i5evMjevXupWbNmiSyYFabNUb+7YsUKdu7cqX3PZrNpm4VUkR1Z2BOi9KnDTuHh4XzzzTc5ghvVZiOLxUJkZCRAoYMb9QeqhgwZAqAFN+qLSphMJiwWC/v372fKlCkS3CiEEEIIIcQtJr/ARv0hx9IMbLTZbFStWpVRo0YxduxYQ+CZi4sLFy9e1O5TAhuFKJ9Wr17tsNAv3HjG1bN74cIFxo0bV+DC4CaTCR8fH7p3786aNWtISUnJMaeSmZnJ66+/zscff0x4eHipz3Ps2bOHv/76y7CnRc0n16xZU1vnkblZIQquLPsp9mvLigpu1BfnNZvNXL9+XSu4161btyKtLecW2KiCniSwUYibg35NeenSpVy6dIlXX31V26viqC3LyMhg3bp1LFmyhPT0dC18EWDz5s1s3ryZFStW4OrqSqVKlUhISMBms5GammoIilNr3Dabje7du2uBjTKOEiJ3CxYsYMaMGQDac6Lv89eqVYu+fftSv359mjVrhru7uxbi/s8//xAXF8fq1auJiYnh2LFjZGZm0qhRI95++23tvYozRjCZTPj6+nLvvffyv//9TwuY1q8Je3t78/3331O9enVD4RshhCgpjvoV9uMWR+MYmTMRovCsViseHh506tSJv//+G0CbPwHj/EZx5mcBAgMD6datG4DD4EaTyURaWhpffPEFACNGjMi1OLgQouwUZM512bJl2pyrq6srHh4eQM7wtH/++Qco/LyCmgNxc3Pj9ddfB9CCG1WbodqPkydPEhERASDBjUJUMA0bNmTOnDlaGIl9OCJkF7FTayH6dkZfY0DNa0J2W6Rfh4Yb4wn1funp6SQnJ7Nr1y527doFQKVKlfDw8KB169ZUrVqVFi1acNtttxEUFESVKlW0QKMWLVowadIkJk6cyIkTJ3BxccFkMhnWhtauXQvAhx9+mOe8rhCi+PSBrpA9xlHPfHp6uuH3ikIFt9WoUYOEhATt/QDS0tK03xFCVAz2Z+c2bNhATEwM69at4+rVq1y/fp3Y2Fjc3d0JDg7GxcWF5s2b06RJE+68807CwsIMIY769kXfJxg/fjyvvPIKp0+fNtQnUO3TqlWrCAgI4KWXXtL6ECXdlqj7jIyMZO/evVoANYC3tzdPPPGEVixd+i5ClJ1GjRo5HCupGidJSUmsWrUKoEjBjaqt0bc5qi3z8vLC19eX6tWr88ADDwAQFxdHZmYmO3fu5PLly+zYsUNb51ZzNfpwWhcXF8P+NX1NJiFExVKUPWzOoF+76tChg/Z9mfcVonT4+PhQtWpVjh07ZphnycjIICkpqdTqOrZr1077/saNG7V2JysrC4vFos0ZDxs2TIIbhXCigpwpLu3ARtUnUfdQv379Ygc2Anh4ePDggw8C5AhuVPdjsVj46aefAHjppZeoXbt2sa8rxK3KbDbz3nvv4ePjQ0REBFarFU9PT9LS0orcnqi+gbu7O7Nnz84R3Kj6MVarlStXrvDjjz8CSHCjEBVEboGNKsz9ypUrfPvtt6SkpPDqq6/i6elZKvel3/Pat29fAC240X7fi9ls5syZM9peXAluFEIIISo+OXUrhBC3GDVpXp431ElwoxC3JtUu+fv7A2iTUmazmdTUVP7++29q165dos94QYMb1QK/BDcK4Tz2B6msVisXLlzg6tWrREVFkZGRQUZGBj4+Pnh5eXHbbbfh6+urhRmp1+XWRpTX4EaTycSZM2f47LPPALR2RvXXatSoQZ06dZx6TSFEwai/6V26dGHp0qVYLBZD/yQ+Pp4FCxZw//334+PjU6b9AJvNRkZGBvv378dkMmmHqFS72rx5c62ArxCibEhwoxBCCCGEEKKs5XW4ShW6K4vARsie323atCmtWrVi79692vyGKvgASGCjEOXYsWPHAHB3d9dCxvTFNYtbGLxFixaMHTuWadOmYbFYtPUcNQ/6zz//MHHiRCZPnsxtt91W4vMcqt05f/48X3zxBRcuXDDMH6tioc8//3yhi+cIcasrbPHwkugD5BfcaH/ISgU3mkwmunbtWqi15dwCG+0/N0hgoxAVmX2xqw8++AAALy8vXnjhhVyLXv32229MmTIFm82mjd1U26P+TUtLw2azkZycrO17UevE+n4JQJ8+fbRryzhKiNytWLFCC2xUYalq/3qzZs146KGH6NWrF1WqVHH4+qCgIADat29Peno6kZGRHDhwgK5du+Lt7e2UA9mqL9CvXz82bNjAH3/8YRiDmUwmatSoQUZGBlarVQIbhRBlxn7cIuMYIZxDBZt1796dZcuWce3aNW0Pun7MYLPZDHOpEtwoxK3J0Zyr+trR2rBSuXJlAEM7AnDx4kXt+4WlD26cMGECJpOJ77//Pkdwo81mk+BGISqw3MJI9M+w2WzmoYceIjQ0lODgYNatW0dMTAwXL17EYrFobZVac9GHKOrXYfR7StTair4fkpKSwvXr1/n1118BWLZsGe7u7gQGBtK0aVOqVq1Kx44dqVKlCk2bNmXq1Km89dZbHD9+XJtn1YepSHCjEKVDPeNqrlUFkNlsNuLj4/nf//7HyJEji90vUG2Guqb6nqurK+7u7jKeEaICMZvNxMTEsHbtWnbu3MmWLVsMP1djIavVyrlz58jKyuL06dN8//33BAUFUbNmTUaOHEmdOnVo2LBhjvZF/b2vW7cuvXv35uuvvyYhIcFQEwFu9EeWLl2Kh4cHo0aNKrWwxL///ptNmzZpfSUXFxcsFgt+fn7cddddhs8ghCg7JR3caE+1Uer5V30sm82m9bO6d+8OwODBg8nKyuLcuXPs37+fCxcu8Oeff5KcnMw///yj7V+bO3euVotJ5mmEqHiKuofNWXKrBSWEKFnqufbz8wOMfYTMzExOnTpFo0aNSnRtV4IbhSg7BQlsLIkzxfrAxhdffNFhYKP6vU6dOvHll18CztnfXpjgxvT0dF577TU5+ydEMbi7u/Paa69htVpZsmQJaWlpBAcHs2TJkiK3JxLcKMTNKbfARovFop2pzczMJCEhgdtuu63UAhsVCW4UQgghbl1y8lYIIW4hGzZsICMjg44dO+Lt7a19vzwuRtkHNw4ePJht27ZpwY36gagENwpR+vSHmuwPHxWVmkxv3bo1Gzdu1N5TFZuKiooCSn6zjQQ3ClH61DOXmprK+fPnWbt2LSdPnmTPnj1YLBbS0tJyvMbf3x83NzceeOABbrvtNrp3746/v7/2jDpqj5wR3OjsyfCUlBR+/fVX4uPjDSFrNpsNLy8vevfurfV/ZBJeiLLRunVrHnvsMW1hXnFxceHIkSO8//77TJ8+XTsAWhbjEJPJxJ49e/j++++1BT19eGO9evW0DZRCiLIjwY1CCCGEEEKIspJfYKN+I3NpBCHlJiQkhHbt2rFnzx5DIJKaM9UHNi5dulQCG4UoR8aNG8euXbs4duyY1t6of1Vhu6IGN6p24JFHHuHAgQP8/PPPhjZCOXToEJMmTeKdd96hYcOGJTbPodqdjIwMJkyYwJEjRwzzw6po8bPPPquFqwkhCqY0D4HnJ7/gRvsghOvXr/Puu+8CFDi4MbfARhV+K4GNQtwccit25erqyty5c7FarYwZM8bhfhdV3NPd3Z2MjAxD26N+rh8z6V+jD2ysXLkyvXv35pVXXgGMhTCEEEY//vgjkydPBnIGNj788MOMGTOG0NBQPDw88tzPZbPZ8PT0xNPTkzFjxnDp0iX8/Py0/bbFpZ57m81Gy5Yt+eOPP7Q9b+r6UVFR7Nixgzp16sjeMyGEEOImZLPZuO222xg9ejTTp0/X9qCbTCYqV65McHAwR48eNexJk+BGIW49xZlzrVGjhuG91DgkMTGxWPekxi6urq68/vrrADmCG9W1JLhRiIorr+BGuDGP+ddff1G9enW6du3KgAEDsFqtHD58mDNnzvD333+za9cukpOTOX78uCFUVvUx1Hk7/Xq0fi5HP3+qXqPOL6ampnLhwgUAli9fTlZWFo0bN6ZatWqEhoZy4sQJw+fRrw1JcKMQJU+NIRo3bgygrZ+qPsLx48fJyMjA3d29WH0Ds9mMr68vYNzjkpaWRmpqKm5ubtLvEKICiI6OZteuXcyaNYvY2Fjt+/rQZzVvol9LVeup165dIy4ujtdeew0PDw9WrFhBvXr1HF7L09OTrl27cvDgQdavX6+NsSB7zHTt2jUiIyMxmUyMHDmyxPoL+nXiNWvWsHnzZu1zq3XiMWPG0KBBA6deVwhRPKUd3Khnv7dXz2q14ubmRr169bQ2cPjw4dhsNg4ePMiVK1fw9vamY8eOgOxfE6IiKs4eNiFE6dHXdVTPobPqOrZp04b//ve/2lhIjRv+/vtvgBJ/7gsa3JiZmSnBjUI4SX6BjZAd4BoUFFSsgDU9/T71MWPGGAIb9e+dlZVFx44dtcBGZ+5vzyu4MSsrC09PT9LS0li3bh0jRoxwyjWFuJW5u7szfvx4UlJS+OGHH4iMjCx2eyLBjULcXPIKbAQM52gnTJhAv379yuQ+JbhRCCGEuDXJX28hhLhFLFq0iNGjR/PGG28wYMAAfvjhB44ePQpkb6bRH1ooD/QT+osWLeKee+7BYrFoGyDVQoDJZNKCG1evXs21a9cMRWiEEM6lX4RLTEzUvlYTQ/pnryjPYXBwMGAsIGUymQybpEuavg3p3LkzAwcO5K677gIwFABVC/wquPHYsWOGwjdCiILJzMzk8OHDvPzyy4wZM4b58+fzxx9/kJSUZPjb7+bmhouLC2azmeTkZGJjY1m1ahVTp05lzJgxTJw4kejo6DwnqvXPtwpurFy5snbwEtA2NdtsNi248X//+x+QPZFeXOoeTpw4wQ8//EBKSop2f+ra/v7+WiEMmXwXouyYTCZatmwJGDc4qq83btzIokWLtN8ti3HIuXPn+PTTT7XwAnUPWVlZhISE8Pzzz+coYC6EKBv2wY3BwcFYLBbDpkK1iTAyMpJvvvmGmJiYIl0DYMiQIQwdOpQqVaoAGPo89sGNR44ckfkUIYQQQgghbkKFCWwMCgpi+fLl1KtXr9SLyqmxyDPPPEOzZs2076nvm0wmrXDokiVLqF+/vhS+E6KcsFqteHh40KlTJ1xdXbV1DsW+MJV9YfADBw7k+f7q9TVq1KBbt27cdtttADmuYbFY2L17N6+//nqJznOoA6kjR45k586d2udVhT8Bmjdvrh3uFEIUTHkKbFTs15afe+45Wrdure0L0Rfu1Ac3/vLLLzleb08CG4UoOfZFuvV7PEp7DSS3Yldubm5kZWVhtVqZN28eM2fOBHLuDenWrRuRkZF07NiRoKAgw741VWRUUXtr1M/V3tuuXbsyfvx4LbBRvxYlhDDas2cPX3/9tbZfTV/c//HHH2fmzJk0bNgQDw8PIO/9XPYh9tWrV8fb29up96sCB5566ilq165tKAysCvJ+/vnnXLp0SfaeCSGEEDch9Xe/WbNmWrCamqu8fv06jz/+OCNHjgSyC9sVZX5WTwU3jhw5kqpVq2pjFP09qeDGr7/+GnDe3nshROEVZM512bJluc65urm5Adn7TtX45p9//iElJaVYZ+fsgxt79uxJpUqVtOtB9phLBTf+9NNPpKamyj5XISoQFUZSp04d7RyOfu4iISGBb7/9lq+++opTp05hNptp1qwZjz32GC+//DKLFi1i2bJlREREMHfuXJ5++mnuvfdeqlWrBtxoL1SbodoF1ZbZt2mqzVLzpurMsn6e9ejRo/z++++sX78+xxlpFfikXrd27VreeOMN7VrqfYUQztWgQQN8fHxyrIn8/PPP2nnfoq6dqjN4Xl5eDt9HFe8WQpQ/+r/TmzZtYubMmUyZMoXY2FhtHVTNR6g9svYhz2qORN9HSUtLo127dtoZvNyEhITwwgsvUL9+fe1a6r3V11evXuWbb77hk08+ASiR+iOq3VqwYAELFiwAjDWaunfvTvv27bV7E0KUH7mNleyDG1esWEFUVFSp3JP9PhK1l83Dw4M2bdrQtWtXCWwUopBupj1sQojSof8be+XKFe37jp5JfftSUJUrVzbsLVX1W+Pi4opz24WiX+Np164dgwYNolOnTkB2kJs6G6TWqYYNG8Zff/0l60NCFIFqUxYtWuQwsFE9b/7+/qxcuZKwsDBD/aOiyCuwUY15IDuw8auvvsrxOmdRwY1vvfUWlStX1j6bq6sraWlpAMyZM0c7yyyEcEz/9/fy5cu5znO6u7szadIk/vzzT6fVKLAPbuzcubNhzVk/J6uCG+fNm0diYqLsWROiHMktsFGdndXvuZgwYQKDBw/WXlcW9O1H3759efbZZ2nQoIF2T/ZtkApuPHbsmLQ9QgghRAUlqyJCCHELWLx4MdOmTQNuDOiOHj3KxIkTGTJkCJ9//jlbt24Fch5CKA/yCm5UC2gS3ChE6dEv7C9atIgHH3yQESNGMGnSJFasWMHBgwc5deqUduDJfqOdo4NQ9po0aYKnpyeurq6GUKQDBw6QmZlZas+1o+DGu+++G3C8wJ+SkkLPnj05fPhwuWxPhShP9M/x4cOHmTdvHkOGDGHjxo2cOXMGwPCMqQ2ImZmZWpugDoyr39uzZw+rVq3i119/zff6RQlu/Prrr/n555+B4hePUAc54uPjmTZtGqdPn9auZTabtb7P888/T8OGDYt8HSFE8am24qmnnuLBBx/UDmSpdsRms5GYmMhPP/3Ehg0bgNIPbkxPT+f333/nn3/+AbIPk6v+yH333UflypW1exNClD0JbhRCCCGEEEKUlrwCG9Xcq9rUnF9RzsKwL0ZXkOJ06j69vb1p2rQpgKHglloTfvfdd7ntttvIyMiQ9Rghygmz2Yybmxvdu3fH29vbMM+hb4dUuFBRCoPr1227deumzZ3o5zzV2vLRo0cZNWoUO3bsMPzcWfMdMTExDB06lK1btxoCG1U7ValSJXr06ME999zjlOsJcStwFCytvnZ2P6WwRfDyCm7UF7IpTHCjBDYK4Vz2e9HU3lLIDjRT1PdLo8hubsWu9M+4u7s7GRkZfPfdd8THxxterz5PmzZteOutt/jkk09o06YNQUFBwI1xlv6zqwJaWVlZBAUF0bBhQz788EPefvttHn/8ce2eZBwlhGNXrlzhp59+0opeqvVWm83GY489xvTp03F3dy/0uKKk/3ZnZWUREBBA3759cXd31/oeVqsVV1dXEhIS2LRpE1B2h9aFEEIIUbJatWrFww8/DKDNzaalpfHNN9/Qt29fRo8erf2sNIMbP//8cwluFKIMFSSwcfny5XkWygsJCQHQQu3VeCg9Pd0pcwwFDW40mUwS3ChEBZZfGElycjLfffcdq1evNoSRZGVl4ebmhre3N3feeSedO3fm3XffZf78+axevZqlS5fy4Ycf0r17d9q1a4e/vz9eXl5aMJP6V51Rtp83VvM+ak5VrfXqfwdyFj9X874quPGdd94BcgacCCGco3nz5tx+++2G0DX1vM2aNYtdu3YV+b1VW5Ceng4Y50+9vb2pVKmSPNtClEP6fRPff/89b7/9NuvXrycpKUkbY+hrEennLNTX9kGwcKNNqFq1Kg899BC+vr753kPDhg2ZNGkSgYGBhjGV/prXr1/nyy+/5K233tKu62wRERF89NFHgHG/TWhoKF26dNHCrmWviRDlT3kMbtTTj48c/UwIkdPNuodNCFE67Os6PvDAAzz77LO8+uqrLFiwgL/++osDBw6Qnp5ORkZGjnlMNXei3suRhg0b4uvri5ubm6Fm0qFDh0hLSyuTuo5t27bNEdyo1qUyMzO14MahQ4fyxx9/SD9EiCLYvXu3Vofa09NT63/o10Uef/xxbQ6hOHOieQU26veWlEZgo+IouFF/Vkftt5G1ZyEc0/dRvv76a1544QX27t2b61jGzc2NoKAg7RyxM9gHNz700EP5Bjd+9dVXEtwoRDmRW2CjvpZ0boGNjgLsS4sENwohhBC3FpNNZgaEEOKm5qiolT6MCCAoKIg77riDZ555hrCwMGrUqKG9vqwHqYp+Mn3w4MFs27YNV1dXLQBOf/irdu3aPPXUUzz55JP4+flJwSohnET/LEVERDB16lTAuAju6uqKh4cH4eHh+Pr60qxZM8LCwqhWrRpNmzbFZDLh7u5ueF+1EVm9f1JSEl26dCE2Ntbw3k2aNOHbb78t9UMO+s+9fv16IiIi2LFjB5A9ia+K5wF88cUXPPDAA6V6j0JUJPpn6ueff2bhwoWcPHmStLQ0w4EA/fOv+iJqgtp+GKs2IN999928++671K9fv9D38ueffzJhwgSuXr2q9Sv0720ymWjYsCFDhgyhZ8+eAEUqCKpv8wYPHsz27du1/68+I0CXLl144403tM0MQoiyo8Yb27Zt45133iE6OjrHYW24EY44YsQI7rrrLqDkC+eq+zp06BATJkzg77//1tovtQhpMpmIjIykTZs2JXYfQtwMymreQD3Hx44dY/jw4cTGxhr6Q/oNBc8++yzDhw8vdN9AP6+zcOFCFixYwJUrVwAMfR51eL1Vq1aMHz9eC0gRQgghhBBCVFz5BTYCOQIb8yrKWVD6dd3Zs2fz4osvapun81vjUfccFRVFnz59uHbtWo6xS+vWrfnss8+0oBIhRPmgnt/Fixczffp0w6GD4OBggoODOXr0KGAsDqzmP0JCQvjkk09o3rx5rtfQz3O8//77LFu2TCtooT/AYDabtbbs7bff5v7776d69epA0dZ21GdLSEhg7969fP755xw6dMgQ2KjaKqvVysCBA3nzzTdz3LMQwrGC9FOWL1/utGBp1R85cOAA4eHhOfaw5MZ+bXnevHns2bNHuyfVDqk2qVKlSrz//vt07drV8Pq8Ahv1nxsksFGI/Nj/nT19+jTnz59n//79REVFYTKZSE5Oxmq10qBBAwIDA2ncuDHh4eH4+fnlCHd25jOWV7ErRyEJS5cuJSwsLN/7yMjI4PTp0+zYsYOTJ09y+PBh4EbBT19fX8LDwwkKCqJXr174+flRtWrVEvuMQtws1PO6ZcsWXn75Za5du6at2dpsNjp37sxHH32kFf0vr8Gnu3fvZsiQIWRkZBj6JjabjXvuuYdFixZp/1/aAiGEEOLmofoyFy9eZPTo0Rw5csQw7zp8+HDGjRvH9OnTiYyMBIo+P2svPj6en3/+ma+++orLly8b+iBwo9/h6enJ6NGjee655wz3K4QoWQUNbMxvznXjxo288MILQPZZHldXV7y8vFizZg21atVyyv2qe8jMzGT69On88MMPXL9+HTCeJQJo0KABAwcOpHv37nh5eckYR4gK5Pjx44wdO5azZ88a1lfV2q6vry99+vShf//+hIaGOnwP/ZqMfZ/i9OnTJCUlsWfPHv7++2/Onj3LoUOHyMrK0gLZFNU2qvdSbYn+LKH+a0V/ntHFxQWz2UxmZibdu3dn5syZTvnvJITIpp7177//nqlTp5KUlGR4Xl1cXGjatCkzZsygTp06RbqGzWZj6NChbN26Fch+/uvUqcNPP/1U4LVkIUTp0Pf/9WuwgPZ3Xc11qIK4NWvW1NoMk8nEhQsXMJlMZGZmau+lxkq9evXSxlIFvZddu3YxbNgw0tPTDWcCFbVPpEOHDrzwwgs0bNgQb2/vIs2R6F9z9epVli9fzty5c7XPoPo1AM8//zxjx47N8d9NCFH+OGOsJIQoW7fiHjYhhHPlVtfRPujD3d2d+vXr4+XlxR133EFoaCi1a9emadOmuLq64uPjY3hffW1Wk8lEVlYW3bp109omNX6oW7cua9aswdvbu5Q+8Q36z71161YWL17Mxo0bAcd1HefMmaOFqwkhCs5isTBz5kxtD6n+zI5qC3x9fRk8eDBPPvmkdv6uKNfJK7BR/3VpBTbqpaen89tvv/Hmm2+SmprK3Llz6dy5MyBzJ0LkJrc+yr333ssLL7xAixYtSnVfvWpLMjIyePXVV1m3bp3DerEAVapUoUePHowYMQJ/f3/ZsyZEGckrsBGM9RXLU2Cjnv5eVq5cSWRkJCdPngRw2AbVrVuXTz75hPDw8HL1OYQQQgiRNwltFEKIm9jChQuZPn06gKGAhJr4Uht01MJcYGAgfn5+PP/88zRs2JDGjRtr71UeJpPzCm7Ub7KW4EYhnC+3wr5ubm5aeKpa6HbUvXRzc6NGjRp4enpy1113ERISQuPGjWnQoAEuLi4EBAQYfn/gwIHs2LFD2yBtMpkICgpi2bJl1K5du9SfZ/vgxsjISLZv3w6Ah4eHdnBLvwgnhMhJ/yytWrWKadOmkZycDOQ8EJEb9fde9QHU97KysvjXv/7FsGHDinxPBQlurFGjBgMHDizWpH5GRgYjR45k69athoK+6n5CQ0N57bXXtAKcQojy4dq1a8yYMYO1a9cC2cUf1LgK4KGHHmLIkCG0atUKKLlxlNpAcP36dUaMGMHevXsNIdjqfsaPH8/QoUOdfn0hKjL9c5mUlISvr6/D31EHm0paYYMbn3vuOUOB3cJcA/IOblTtWfPmzZk/fz6VKlVy1scUQgghhBBClLLyENg4duxY/ve//9GqVSsiIiK0a+d3iEqt/U6ZMoUVK1YY5jrMZjNVqlRhypQp3HfffeU6LEGIW9WePXv417/+xfnz57Xn3tPTk3HjxhEfH68dqixqYXD9c/+vf/2L//znP9q8h32RTFVos0uXLtx///10795d+3l+6zv2Pz927BirVq1i48aNnD9/3rC+o9pbq9VqKN4lbZQQ+SurwMZhw4axfft2Pv30U9q3b1+k4MY//viDr7/+WgtudLS+bB/cqO7BUWCjvvgNSGCjEAWVkJDAtm3b2LBhA3/++ScJCQnaz/RFZRR3d3cCAgK4++67ad++PQ888IC2VuSsv935FbuC7HYuICCAZcuWERYWlu/1HfVfMjMzcXNzIz09HZPJJMWDhSii+Ph4Bg4cyMmTJw377Zs1a8bUqVNp0KBBWd9igcyaNYuvv/4auNEG6scqb731Fs8++2xZ3p4QQgghSlB6ejpTpkxh5cqVhv5MkyZNiIiIwMfHh8mTJ7NkyRIAh/vTSjK48YUXXmDEiBFA+SqoI8TNyH7OVbUHRVkb3rp1q2Efuv787oIFC2jXrp3T7luCG4W4NTg7jESd9XPUBmRmZnLp0iUSEhL4448/iImJYceOHcTFxZGSkqKtVdufGdCfD7KfX9ZfR7+mM3PmTMNatBDCuc6dO8ewYcOIiorC3d2djIwM4MZz2KtXL0NoW2GoPR/PPfccW7ZsMfQ5wsLCWL16Ne7u7qVSMFwIkT99v3/BggXMmDEDQBvTqH2nbm5uVKtWjb59+1K/fn2aNWuGu7s7ZrMZi8XCP//8Q1xcHKtXryYmJoZjx44B0KhRI5YtW4aPj0+B5y7UPW3bto3nnnuOzMzMHHMjqr+jQpo6dOhA//79qV27tvY7hZ0r2bBhA7/++is//vgjcKM9VG2a1Wrl6aef5t133y3SewshyoYENwpR8d1Ke9iEEM6VV11HtcaTV11Hs9lMUFAQXl5etGnThmrVqnHHHXdQv359PD09c9QlGTVqFBs3btTGLmazGV9fX5YsWVIme+TyCm6Uuo5COE9WVhazZ89m/vz5gOMzfT4+PgwfPpwnnniCatWqFer99Wd1XnzxRdatW2eYs1F9krIKbFTS0tJYt24dfn5+dOzYEZCzOkLkJr8aBffccw9jx47ljjvukOBGIYRDN0NgoyLBjUIIIcTNT0IbhRDiJmSz2Th9+jSPPvoocGORXm3+109+qQV9/USxGszVqFGD+++/n549e1K3bl1DiEFZTi7nFdyo7l2CG4UoObkd3tTTP2dqE6BapLf/3YCAAIKCgmjdujVBQUF07NiRmjVrsnz5cr788sscG49WrFhBixYtSu4D5iGv4EaQgnlC5Ef/XCxatIhp06YBN9oJNcGsnnc3NzdCQkJo1aoVlSpVonr16iQlJWmHIbZv364t3KlNgB06dGDevHk5rlXYe9MHN+rfQx/c6OLiwpAhQ3j11VcdvkdusrKyOH/+PG+99RY7d+7MUdBX/fvCCy8wZsyYIn0WIUTJOn/+PMOGDePMmTOGDclqkyNAp06dGDBgAO3btwecvwCoH/cMGTKEbdu2ae2J+rm6j9dff5169eo57dpCVHT6v6tLlizh999/5/bbbyc0NJTWrVvj6elJSEiI4TX68UxJLX4XJrhx4MCBDB8+3OnBjarYDcimZSGEEEIIISq6/A5D6AOBSioISR2uUvO3LVu2JDIyssDBjXCjsMzo0aMBDIVsbDYb3bt3Z+bMmUW+VyFEyZo+fToLFy4EsudOg4OD+fbbb1mzZg2ff/454JzgxpdffplffvnFsJai5kr17282m+nVqxddunShRYsWhj0wedm5cydHjx7l448/Jj093TDHol/HttlsPProo8yaNSvHPQohHCtI8fCS7KcAhISE8Oabb9KhQ4cSDW6cNGkS3bp1A7ILnUtgoxDFk5iYyMmTJ5kyZQrnz5/n2rVr2r4LtZ8Usp8h9UzqnzWAO++8kxYtWvDCCy/g5eVV7PvKr9iV/nkvbrErtc9GjZfU55N2Q4iCU8/st99+y0cffURaWpr2N93b25tRo0bx7LPPlvtAVPXcb9q0iTfeeIPExEStMK/qn3Tt2pVp06aV+88ihBBCiMJTfYFz587Rr18/rl69aji/M3ToUMaPHw/A1KlTiYiIAIo+P2tPghuFKD8crQ0DRZ5zjY6O5qmnniIhIUGbv1VjjM8++8zp+0wluFGIW0NJh5Gofoaj/kZSUhJJSUkcOXKEI0eOcP78eXbt2kVGRgYxMTGG39Xvb9GfedSv70D2vntph4QoGerZ2rhxI2PGjNH6N6GhoXTv3p0XX3wRKPoYIy0tjWeffZaDBw8a1pNatGjBihUrnPIZZP+IEM61YsUKJk6cCGSHFaq/1c2aNeOhhx6iV69eVKlSJc/3SUtLIz09ncjISA4cOEDXrl3p2bNnjkDn/Kj2Z9euXbz88svaWT3VL9D3d9TXQUFBjBw5kvDwcO68884CXSc+Pp7ExET+/e9/s3PnTi5cuKD9N9AHTsv+NSEqLgluFKJikj1sQghncbSvHoxnVhzVdcytBqSXlxdBQUE0a9aMypUr07FjR+rUqcO6deuYNWuWNoeqzJs3jw4dOpTkR8yVo+DGzZs3a/NAsq9eCOcoqeBG/VmdMWPGsH79eq0/oe9blHVgo2J/LlDaFCFyyqtGgc1m0/opjRs3ZuLEiYXaZ+YMEtwoRPmXW2CjmgvR72sr74GNigQ3CiGEEDc3CW0UQoib2Pjx4/nPf/6j/X+1GcfX19ewwK8/EKkW4pSaNWtSo0YNxowZQ82aNaldu7b2s7Ia9BU2uHHAgAH06tULf3//Ur9XIW4m8+fP56OPPgJutBWqvdBvCgIMk0X2X+tfpw8eUby9vQGoVasWJ06cMLRTJpOJTz75hHvuuSdHEU194Jm6XknQLyL89ttvfPXVV+zfv585c+bw8MMP5/gdIcQN+S3AqQMR1atXp0GDBowaNYqaNWtSvXp1h++3b98+Tpw4wdKlSzl58iTVq1fniy++IDw8vMibAO2DG99++23twKV94LVqa7p168bgwYNp0KABXl5e2rXVZiZ9MbyLFy+ybds2IiIiOHr0qCGwUfVdrFYrTz/9NO+++y5QvhcOhLiVHTx4kEGDBpGSkmLY7KgfS91999306dOH7t27A84/4HT9+nXGjBnD9u3bDe0J3GjPatasyUsvvUSPHj2cdk0hKjr93/rIyEimTJli+Lm/vz9ubm60bt2a4OBg7rnnHkJDQwkJCcm1iL8z/1aXZXCjfhODBDYKIYQQQghRsZWHwEb94Sp1LxaLhdatW7No0SLc3NwK/L4TJkzg+++/zzFH6+7uzuzZs3nwwQeLfM9CCOdTcw8XL15k9OjRHDlyxHB4c/jw4YwbN47p06cTGRkJFL0wuL7deeedd1i1apX2M/sDDvr506CgIKpXr06PHj2oU6cOjRo1ws/PT2sfY2NjSUpKYtu2bRw8eJDNmzdz7do1bd1HzdWo9XH1/n379uX999/PcW9CCMfKQz/FbDaTmZlJSEgIb731Fu3bty/R4MY5c+YQEBDAE088IYGNQhTTwYMH+eWXX/juu+9ITEzU9mmof+052lNmv2+tYcOGDBgwgHvvvZdatWoV6fnLq9iVfTCtFLsSonwZPXo0GzZsALKD5+vXr09ERASVK1cu47srnFGjRrFx40atT6Lf2/vvf/+b+++/v4zvUAghhBAlQY1HPvvsM+bNm6ed87FarYSHhzN16lRuv/12AD788EMWL14MSHCjEDcTZwc2wo1nu0ePHobQEdVWvPLKK4wYMcLpz7IENwpxayjtMBLVPjhq/+Li4sjMzGTnzp1cvnyZHTt28M8//xAXF8f169cNxcvV2WgpFi5E6bNYLMydO5cvv/ySli1b8uSTT9K7d2+geGf2MjIy6NOnD8ePHzd8/+6779bGTYWl+kfR0dFaXRZZCxLCOX788UfefPNNbR+Ivj7Bww8/zJgxYwgNDcXDwyPPsYr93+1Lly7h5+en1TkpLPV+Bw4cYOLEiZw6dYr09PQcAQCqZoq6fw8PDzp16kStWrVo37493t7eVKlSBbPZTEZGBmlpaRw/fpyrV6/y448/cvnyZS5evGgIglLzOjabjT59+mhr1NLuCFExSXCjEBWL7GETQjjLN998w8yZM4HstRi1Jx0ocF1HtT7sqK6jp6cnFouFOnXqcPr0acMYxWazMXXqVDp27EhgYKDDe1RnZ9TrnD0Xah/cOG/ePLZu3cqnn37KI488kuN3hBBGBX0+nB3cqD+r8+KLL7Ju3TqtP6Hvk5RWYKPsQxGi+PKrUQDg4eFBeno6bm5urFu3LtdasSVJghuFKL/yCmzU9zmg4gQ2KhLcKIQQQty8JLRRCCFuYsuXL2fSpEnaopjVasXLy4vhw4dz/vx5fv31V5KTkwEMxeUgO3BEHSjw8fGhVq1a9OzZk/vvv586deqU6WAvr+BG/aZFm81GcHAwgwYNYsiQIVIYT4giiouLY9y4cWRkZBAfH8/58+cBcizOu7m5YbFYDAFk+kV+Pf2Cv/57+rZHP/GkAt0qVapE69atqVy5Ms2bN6dWrVp4e3tTo0YNh/dusVgMhYGLS7+YsG7dOgIDA2nTpk2Onwkhclq1ahXvvPMOkDOwsW3btvTr14927drh5+fnsA3QF5MCSEtL43//+x/u7u7cd999uQYqFZT9Bp5JkyYRFRVluDYYg9kaNWrEHXfcwdChQwkODs5xD2fPnuX06dN8+eWXREdHc/XqVUPAmrqe1WqlR48ezJgxA5ADEUKUdz/88AMTJ04kNTXVsKFAv4m6fv36PPTQQ4wbN85p101LS+P06dNMnjyZPXv25GhP1NcvvPACY8eOBaR/IgTkviHIw8ODjIwMw992/cHFrKws6tSpw+23307t2kfNwS0AAQAASURBVLW1/kaDBg0cFu9WY5miPnNlEdwYGRnJhQsXAGNgo7QdQgghhBBCVGwRERFMnToVMB6uVvMYgYGBLF261CmHq3MLQoIb4yRXV1etiMyQIUN4/fXXC/ze3333He+99572XorNZmP48OG89tprMn4RohxKT09nypQprFy50tAGNWnShIiICHx8fJg8eTJLliwBcDj/UZDC4Pr2a8aMGfzwww9cvXrV8J6qjVDzP2oOV80BVatWDVdXV1xdXXF3d+fq1aukpaWRkpJiuJb+dfo5msDAQHr37s1rr72W456EEI4VpHj4smXLqFevXon2U6xWqxaW6OrqypIlS2jRokWB37uwwY1eXl6kpaVJYKMQxfT777+zYMECDhw4QHp6eo59r5B7YRr1M/tQePW3PSAggKZNm/L888/TunXrQt1XXsWu7INppdiVEOXL5s2bGTlypOFvuLu7O9OnT6dLly7l+nC0fVEbFxcXdu7cycsvv0xsbGyOor0dOnTgww8/rHBBlEIIIYQouO3btzNq1Kgce1snTZpEv379tN+T4EYhbi72c672hbeLEthos9lIS0ujb9++nDx50lCE12az8cwzz/D222+XyOeR4EYhbg1lGUaib8/s2wyr1UpWVhbnzp1j//79XLhwgT///JPk5GT++ecfbU1H9t0LUfqOHDnCjh07aNSoEW3btgWKP6ZISkqib9++WliBaoMefvhhPv300xw1EPKj7mf79u0MGjSIAQMGaOepZU1IiOLZs2cP7733HidPnjSEkdhsNh5//HE++OADh2f98uLMv+HqvU6dOsWSJUv4/fffuXTpkuH8r6LqqOi/5+XlRVZWFpUrVyYrK4v09HRcXFyIi4szXEe1SfogaX9/f3r37s348eOBkgs+EEKUDgluFKJikD1sQghnSU5O5vXXXyc9PZ2YmBjOnTuHxWIhIyPD8HvqOdbXWYX8gxxVe6PqOuoDIdXPrFYr/v7++Pv707x5cwICAmjVqhU1atQgMDCQunXrOpyDcfbYQ982btmyBR8fH21vv8zBCpE7/fOxceNGWrZsib+/f66/76zgxrwCG/V9i5IMbFRt08WLF6lSpYrWRso+FCGKpiCBjWofSnBwMEuWLMm1n1AaJLhRiPInt8BGi8ViONcCFS+wUZHgRiGEEOLmJKGNQghxE7NarTz99NPs27fPsGDfpEkTVqxYwa5du/jf//7H8uXLtdfYH4oEYzAR3AgnatCgAc8//zyBgYEEBQVpPyvNha28ghutVivu7u7awuM333zDfffdVyr3JcTNSk1Mx8TEEBMTw9WrV9m9ezfx8fEcOHCAy5cvk5KSoh08UvQL/vZBKPquaH6bjOzbIvU9Dw8PAgMDqV+/vhboWKNGDUJDQwkLC8NqtebYGKQ+S1HbLEevk4V9IfK2fv163njjDa5fv54jsLFbt2689dZbBAUF5Xro0Z5+Yd6ZE9D6a+/cuZMPP/yQkydPkpmZqU2Eqw2P+jbJ39+fWrVqcfvtt+Pp6UlycjIJCQkcP36cixcvGgIf1XX013zsscf46KOPcnw2IUT5lJGRwbfffsusWbNIS0vLNbjR1dWV++67j4kTJxIYGIiHh0eB+wz2B8HPnTvH+vXrWb16NX///bfhwJY+MLtv3768//77QMVaiBSiNCxatIhp06YBOQv36zccqwV+VTRb/d1WcxBNmzYlICCAli1bEh4eTkhICA0aNHB4TX0QdUGe/dIObpw3bx7z589n8uTJUgxcCCGEEEKIm4R9YKM6NKXGNpUqVWLdunUEBASQmZmJm5tbka+V1+Eq++CATp068eWXXxbq/bOysujfvz8HDx7MUXTC3d2dpUuX0qxZsyLfvxDC+fTzmf369ePq1avaPhSbzcbQoUO1AlFTp04lIiICKHphcP2ayqpVq/i///s/tmzZor2n/foyoBXas1gshvlc+6+tVquh/VTfV3Mz9957L126dKFPnz457kUI4dj8+fO1NVFH/RR98fDiHsYuyCFwk8mExWKhTZs2WpBsYeQV3Kjfg6c/6OnosCpIYKMQBfHDDz/w8ccfc/nyZW0/mHq2VGFL/f4yR3/n1Rqr/u+8Wh/SP6dTp06la9euBRov5VXsyj4kQYpdCVH+REZG8uGHHxqKUPn5+REREUF4eHhZ3x5g7BucP3+eK1eu5Bo2HRMTw6hRozh69KhhTGSz2ahatSrz5s2TA99CCCHETe7jjz/Wit2peYjg4GAWLVrEbbfdpv2efXCj/f40CW4UomKw3xdrX3i7KIGNeqNHj+b333/PsWe9d+/eTJ48uSQ+EiDBjULcKspjGImj9amMjAxsNhsHDx7kypUreHt707FjR0DWdIQobcnJyfj4+ADFf/6sVisxMTH07t2buLg4Q2ijClsszDX0gY1DhgzBarXi6urKwIEDtX0ysjYkRNFcuXKFf//736xevZqMjAzDOqz+bH5Z/11W17969Srbt29n/vz5HD582HBWUb+Xzb6egmo39OeU1bq2WsPS73sDaNeuHQ8//DD9+/cHpJ0R4mZRHsdKQohssodNCOFs6vmNi4sjMTGRy5cvs3//fuLj49m9ezdXrlwhISGB1NRUw+tUm6Oec33NRv2/jgIdFf35HT019ggMDKRWrVr4+vpy5513Uq1aNRo2bEi9evW02o+OPovUdRSidDgKWHvggQeYNm0afn5+ub6uuMGNhTlTXNKBjdu2beO9996jR48ejBw5UoIbhSiivAIb7ccTxd2H4kz64MZXXnmF9evXS3CjEGUkr8BGMJ7Nr6iBjUphgxvr1avHRx99RNOmTcvsnoUQQgiRNwltFEKIm5SaPFq1ahVTp04lIyNDW+S3WCz06dOHiRMn4uLiwpYtW/juu+/YtWsXly9f1hbV1CK/mjxTr1ULddWqVSM0NJRnnnmGli1bUqVKlVL/nLkFN5rNZi2wUV/USghRdHktXiclJZGRkcGFCxfYv38/V65cYfv27Vy7do3Y2FgSExO1tkNPTcTrg4YcLezrr63fZORowV9dx8fHh6pVqxIQEMBdd91FlSpVaNq0KbVq1cLV1ZWAgACHn0XdjyzUC+E8J06cYPr06fz1119A9nNqs9no1auXtjhXXujbnAMHDvDNN9+wdetWrl+/7jDg2lFbpDg6TGEfQtu/f38mTpwIOHdjgRCiZCUnJ7Nw4UK++eYbLbhRH1Ct+ipZWVmEhYXRvXt3HnroIUOwm/3Cmn4jtnL9+nX27t3LJ598wvnz57V+lXq9/lBW9+7dmTlzJiAHrISw9+uvv/LSSy8B4O7uTmZmZq6bdgHD+EMdaAK0eRL9mMXHx4ewsDAqV65Mp06dqFq1Ks2aNSMgICDHQQj7Dc2Oxh364MZhw4Zx9erVEg1ujIqK0g5nyaZlIYQQQgghKrazZ88yevRoTp48aQim149h/P39+eqrr7Ti/kUdBxQkCEl9XZTDVeo9vv/+ez744ANSU1NzhB0988wzjB8/Hjc3NxnLCFGOqHmHzz77jHnz5mnzKVarlfDwcKZOncrtt98O5CwMXpTgRv08x8GDB/nll19YsGCB9nP92o6+zVNf288H2beLqj3Vr+0MHz6cLl26aIckKuLBECFK2969e3nqqacA8PDw0PZ1KTabjWeeeYa333672Gsc+v7GmDFjWL9+fYEOgRflunkFN+oPWdnvg1FF00ECG4UoiG+//ZbJkydrz419URf9Po4qVarg5uZGjRo1SExMJDU1lZSUFOLj47Xf0RepUfvVwLgGM2bMGHr06EGdOnWA/IvBSLErISoWm81GamoqAwcO5NChQ4aw+UcffZRZs2aV9S3maHf+/PNPVqxYQXR0NKNHj+aRRx5x+Lr/+7//Y9y4cUD2OEftV+vUqROff/65tEFCCCHETUj1Hfbv38/48eM5e/as1hfw8PBg3LhxDBo0iMzMTG1PmzPmZ+1JcKMQpefnn3/mlVdeAdCKXDmrUJ5qU1599VX++9//Gva82mw22rRpw8KFC3F1dS2x+czCBjcOHjyYrl274u3tXSL3I4QoGeU9jMR+Ldn+Z7KmI0TFdvnyZR577DESExOB7HM+AwcO5M033yzw++gDGwcPHozNZjOcW3ruued49dVXS+pjCHHTUs/Wli1bePnll7l27ZphHbZz58589NFHeHl5lcv117S0NGbOnMnu3bs5evSo9n1He9lyC1PRf8++NsELL7zAQw89pO3DK4//DYQQRVfex0pC3KpkD5sQoiToxwX2z3d6ejoA586d48iRI1y+fJlt27Zx/fp1zp07p7Up+rECZD//avxhX9cxt7GHuh/VDjl6jYeHB/7+/gQGBtKmTRuCgoJo1aoVNWrUwNvbO9e6JxaLBRcXF5lTFcJJcgtYA3j44YeZPHlyiQQ36veclHVg4/bt2xk0aBAAYWFhPPHEEwwePFiCG4UopLwCG9W4pDwGNioS3ChE2csrsFHVYXZ2YKP9+Km0928UJLjRxcUFm81GVlYWQ4cOZfz48aV2f0IIIYQoHAltFEKIm9yZM2cYMGAAV69eNRSUCAkJYfz48TzyyCOYTCYSExO5dOkSc+bM4dixY5w/fx7ILj6ninmq/29fkO7OO++kZcuWDB48GE9PT7y9vfNcCHQmR8GNihS1EqJkqefK0WKY2rRz5swZzp07R0xMDLt27eL69escP36cq1ev5ijCB9kT9GqCyb6YMBgX/cG4iclsNmv3Yx+i5urqiq+vL8HBwTRp0gQ/Pz9atmxJtWrVqFatGrVq1XL4OSVETYiiUYtUX3/9NV9++SWpqamGTX1du3bl448/1n63vC5cnT59mrVr1/L9999z5coVQ2iSfaisfbFfPftFg5CQEHr06KEVySovC5BCiIJLSkpixYoVfP7551obpzYggbGYt7u7O+7u7gwePJiGDRvywAMPkJWVhYeHh8P3TU5O5vvvv2fv3r1s3LhR+5m+rdRvjNSH4Ep7IkROP//8M5GRkezduxdAC1VV8jqgYD+/ob5WGw3t3wugevXqBAUFcfvtt9OsWTOqVatGy5YtcXNzw8fHx/C7aryhv6Z6jksruNH+MwshhBBCCCEqrl9//ZXIyEh2796tFWdQcwjqcEFgYCDTpk2jY8eOQOHHA0UNQirKesvp06cZOnQoly5dyjE3W7duXZYuXUrlypXL9RyzELeq7du3M2rUKMPcKcCkSZPo16+f9nvOKAxu34798ccfLFmyhEOHDhEXF6fN39i3I7nRX1+9tnLlyjRp0oRnn32W9u3b53ptIYRjiYmJzJ8/n6VLl5KcnGxoF/R7QEaPHs2YMWOK/FzlFSxdUofACxLcqD/sKYGNQhSOvpCU/vC0/m+1i4sLffr0oVmzZrRr1w4XFxcqV65MSkoKmZmZXL58mSNHjnDo0CF+/fVX4uLitD6HGjNBzn0dqsBdkyZNtJ87ek7ti12p91bPuxS7EqJ8SkpKonfv3kRFRQFo7cGQIUN4/fXXy3SuQX/tY8eOsWHDBj777DPt5yNGjNDCWeydP3+e8ePHs2fPHq1op3qv6tWrM3XqVO655x6ZSxFCCCFuYv/617/4z3/+o53JsVqthIeHs3LlStzd3Q3jkmnTprFo0SLA8fxsjRo1+PTTTyW4UYhyaN++fUyePJm///6btLQ0w1xEcQvlqdd88sknfPnllznO6DVs2JCVK1fi6enp7I/l8D4KEtxYq1YtnnvuOfr06SPtiRAVjISRCCHKyt9//82TTz5JZmamtr/OarUyduxYXnjhhQK9h6PARlWEFND6Z4MGDeKNN94oyY8jxE0pPj6egQMHcvLkSUN9gmbNmjF16lQaNGhQ1rfokH6e4/Dhw/z1118sX76cxMREkpOTtd9T+1RUWJM+8ElfzFcJCQmhffv2PProo9x1113a92W/iRA3JxkrCVG+yB42IURZyGt/e3R0NJcvX+bSpUvs3buXhIQE7fzM9evXc5yXcVTXEXKGyevpQ+RV7SRHdR3NZjMeHh4EBwdz22234efnR+vWralatSp16tShbt262u/pSVskRNHkFrDm4eFBRkaGVttx4sSJ+Pv75/o+uQU36r92FNwIOc/q6J/n0gpsVPOx6l7r1KlD//79GThwoNSMFaKA8gtsdOY+lJIkwY1ClJ28AhvBWCexJAIb4+LiCAoKKv4HKYK8ghtViLTVauXxxx9n+vTpZXKPQgghhCgYCW0UQoibmBpERkREMHXqVMBY5Kp79+7MnDkTyB7oWa1W9u3bx/r161m9ejWpqalkZmZqGxjVZJManKrBr3rfBg0aUL9+fYYOHUq9evWoVKlSjvspCfrJ+P79+7Nv3z7mzp1L586dS/zaQohs+gV4tRnY0c9jYmJITk4mOjqaffv2ERsby86dO0lKSiIhIQGLxWIoIuwoMEXfHjkKSdOHJalNh/oJO0VNZgUFBVGrVi38/Py4++67qVq1Ko0bN6ZmzZq4urrKApwQhaSey7Nnz9KvXz/i4+MNByLuu+8+ZsyYQVBQUIVYsLp69Sq7d+/m008/5dSpU4awJvuQJjD2uez7TQAdOnSge/fu9OjRA5BNREJUZOnp6fz44498+OGHpKSkGIp+69n3Q5o0aUJAQADNmzfH29ubrKwsLBYLCQkJ7Nixg6SkJC5cuKC1J/r3VX0bAHd3d/r378+bb74JSNi0EHlZv349ixcvZufOnQBaMShHYwj9WMP+uXYUKg9om41zC3KsVasWHh4e3HvvvYSEhNCqVSvq1q2Lh4dHjgBX/ZiqJIMbhRBCCCGEEDcP/Tzr+vXr+eabb9i/f782j6kOFKgxT1BQEB9++GGhgxtLM7BR0R8e14/BsrKyGDBgAO+8806R3lcIUfI+/vhjrR1Qh7WCg4NZtGgRt912m/Z79sGN9vMfBQlutHfx4kXOnj3LvHnziI6O5uzZs9rP3NzctGvYrzOr4r9KaGgotWvX5rnnniM0NJTq1asX5T+FEAK4du0aCxYsYOHChaSnp+c63zlmzBjGjBlT6PfPK7CxpA+B5xfcqOacJbBRiMLR73111GZ4eXnx8MMP061bN21sk5+YmBh++ukn1q9fz969ew1FZVQhGn3RiUcffZSnnnqKNm3aADmf16tXrzJ48GBOnjxpGHtJsSshyr+tW7cyfPhwILv4rcViYfbs2XTr1q1c/H2eP38+GzZsYM+ePcCNsYzqSyxatIh77rnH4evmzJnDF198Ybh/NeZRoZRCCCGEuPmodZro6GiGDh1KdHQ0ZrMZs9mMxWIxzLno+zr2wY32Y6/SCm6UMZMQhXfw4EGmTp3KwYMHtTCPoKAgli1b5pRCed9//z0TJkwwzHGaTCZq167N8uXLS6XoVX7Bja6urmRkZACwcOFC2rZtW+L3JIRwPgkjEUKUhS1btjBs2DDAWItg2rRp9OzZM9/X5xXYqL52tDYshMifer6+/fZbPvroI9LS0rT9F97e3owaNYpnn30Wd3f3sr7VXNnXTjh16hQXL15k+fLlXL16lX379uX7HmazGXd3dx544AHq1KlD3759CQgIwNvbuwTvXAhRnshYSYjyQfawCSHKi9zqOirx8fFkZmZy9uxZDh06RExMDNu3byc5OZmYmBjS0tK0Oij2dRsV+1or9vQ1WdTvOqrrqK7j7+9PcHAwAQEB3HXXXQQHB9OiRQtq1KiBt7c3np6eTvqvI8StIa+ANTV3YjabyczMpFevXkydOjXPfbC5BTeaTCbt2fbx8WHIkCEMGjSISpUqlavARnU+ULVblStX5tlnn2XkyJFOuaYQN7ObJbBRkeBGIUpfboGNan1UP69REoGNP/zwA19//TXvvfced955Z/E/UBHkFdwI0KNHD2bMmJHjd4UQQghRvkhooxBC3AL27t3Lyy+/zKVLlwwT2nCj8F2vXr207+knv3bu3Mm+fftYuHAhcXFxQPaGY/tQA/vveXl5cd9999GuXTt69+6Ni4uLtphfUgNE/aT8rl27ct1gIIQoO+p5dNQWpKamYrFYOH78OOfPn2fx4sUcOXJEa1/Uv3ouLi6YTCbDJgB9cKQ9/QYldT9qUdBRqIqXlxdVqlTBzc2NO++8k1dffdUQRiuEyFtKSgpvvfUWv/zyiyGwMTQ0lDfffLPAmw3Lk4SEBN59910OHTrEhQsXgOyAJrVpQbVFqu+jD7l2dXVl7NixdOzYkYYNGwIygS7EzcBqtbJ582bGjx9PQkICYNxgqA96VW1EflNyqm9iX6hGv1mxUaNGPProo1KwRoh86OcFHAU36scB+qBGHx8fEhMTtZ+p/oz++Vbvr6efg9BvWtYHpNhsNtzd3fHz86NOnTq0atWK6tWr07ZtWzw9PalZs6bhPQ8fPszIkSOJjY01tAsS3CiEEEIIIYTQsx//ODu4sayCkA4fPsxLL73E+fPntSITat2oWbNmfPzxx9SqVUvWhYUoR9TzuH//fsaPH8/Zs2e159PDw4Nx48YxaNAgMjMzcXNzA3IGN9of8ixKcCNAZmYmUVFR/Pbbb+zfv5/du3eTlpZGWlqaw9/38vLCx8eHFi1a0KZNGzp27Ejt2rWddkhUiFtdbsGN9gVmChvcWBbB0vbyCm50cXHRDr+DBDYKURCOCklA9tpIpUqVGDduHB06dKB27dpA7vsv1HOmL/KfkpLCZ599xvfff09SUpL23mofrL5NevDBBxkyZEiue1L379/PRx99xL59+7BYLLi7u5ORkSHFroQo59avX8+YMWMMezqysrKYO3cunTt3LuvbIzY2llGjRnHo0CFtbKTakqysLIYPH86rr75qaPtU+5SYmMiwYcO01+rnhkwmEwsWLMg18FEIIYQQFV9ycjLTp09n5cqVhrmXdu3aMWvWLAIDAw1nAiFncKP9/GxJBjeOGTNGC9MWQhTegQMH+Oijj9i5cyf+/v58++23TiuU99tvv/HCCy8YQhvVs7tixQrCw8Od9Cnylltwo37+RoKQhKj4JIxECFHa/vjjD0aMGGEYq9hsNmbMmEGPHj3yfG1egY2QHYwC0k8RojhGjx7Nhg0bgOwzevXr1yciIoLKlSuX8d0VjP3acmZmJmazmR07dpCQkMCJEye4ePEiKSkpZGRk4OPjQ1BQEHXq1KFJkyb4+vpq9QgcvZ8Q4uYnYyUhypbsYRNCVCSOnnE1P3HixAliYmKYP38+u3fv1sZY+dV1tP95XvUd9cFIqp3Ut2OKm5sb/v7+eHh40KJFC9555x0CAgKc8Z9AiJtaYQLWgoKCiIyMpH79+vm+r6PgRvs+j6+vLyNGjGDnzp38+eefWs3F0jqrk9d8rKrflJGRAcA333zDfffd55TrCnGzutkCGxUJbhSi9OQW2Kj6/vq6iCUR2Pj9998zYcIEAFq0aMFrr71WZjkU+s+0atUqIiMjOXHiBN27d2fmzJk5fkcIIYQQ5Y+ENgohxC1i4sSJrFixAsBwaPK+++5j4sSJ1KpVS/td+8HlxYsX+e6779i2bRu7du0yBBjYB5yBcWAMcPfdd9OoUSOGDRtGQEAAHh4eJfY57SfnZcOhEOWb/hm1n4SPjIxkypQpOV5z++2306hRI/73v/+RmZmpbQqwD0NS38trwd/+a/Wv2WzGYrHg5eVFamoqALNmzeLRRx919n8CIW5KalL46NGjvPLKK/zzzz+G/kf//v157bXX8PX1LetbLRT9xse//vqL33//ndWrV2M2m7UF+9w2FdWuXZv27dvz6KOP0rp1a+370lcR4uYSFRXFlClTOHjwIPHx8YaAe3D8zNu3G7ltWNQHVAP06tWLLl26aKEK5X1DgxBlLb/gRvtw1DvuuINHHnkET09Pdu3axd69e0lNTSU2Ntbwvmqzkf0cSW5jD/3GQ/0hbCUgIACz2UyLFi0ICQnh9ttvp0mTJoSHh3Pu3Dn69u1LXFycw3sACW4UQgghhBBC5B3c6OhwQUGDG8s6COm9997j22+/Ndyb+ixvvPEGgwYNKvY1hBAl41//+hf/+c9/tHVcq9VKeHg4K1euxN3d3TC36ezC4I4OMsTFxXHu3DlOnz5Namoqly5dwsXFherVq+Ph4cFtt91GzZo1cxz6lkMRQjiPo+BGffHKwgY35tVPKclgaUdyC25UBXRAAhuFKIjcil2ptRV/f39mzJhBu3bttADoovr222/58ccf2b17t+F6+gA3gK5duzJkyJBc+yEHDhxg6tSpHDt2jLS0NAIDA1m6dKkUuxKiHPu///s/Xn75ZW28odZ0y9Ne0a1btzJs2DBtPKL6Ezabjfr167Ny5Up8fHxyvC49PZ0pU6YYgpr069OrVq2iWbNmpfpZhBBCCFG69u/fz4ABA3IUwnz33Xd5+umntd/Tz03Yz8/aF+ELCQnhk08+cWpwo+qjvPTSSzz//PPF/dhC3LL27t3Lv//9b958802nFsqLioqiZ8+eWCwWw/k9d3d3li9fTuPGjYt9jYKyD27873//S3x8PABz586lc+fOgMy5ClHRSRiJEKI0qP7Cjz/+yPjx47Xxj9pP9/nnn/Pggw/m+vrcCoSr/pL+a1kbFqLoNm/ezMiRI7WQEFWAf/r06XTp0qVc7+XKL6ipKKQNEeLWJmMlIcqG7GETQlRU+lonVqvV8Oz/8MMPvP766zleEx4eTuvWrfnll1/IzMzk+vXrhp+rdV5VR0nNpejrIEF2Hce86qx4enpqdR1nzpxJ9+7dnf7fQIibTX4Ba5A9L6kPWCvomRlHwY32Z/rU98pLYGN+87FCCMcKG9i4bNky6tWrV2HGE8UJbpQ5WCEKJrfARvX3WN8/KenARtUu3X777bz55pu0atWqOB+tyPSfbdGiRcTFxfHKK6/k+JkQQgghyicJbRRCiJucGpgdPnyYl156iXPnzhkWtLy9vZk9ezadOnVyOIhT37NYLFitVhYtWsTOnTv5888/td9Rr1ELZ+r97cMbQ0JCuO+++3jwwQe1op/6awghBGRPdP/yyy+8/PLLOSbw+/Xrx9tvv01UVBRpaWns2LGDqKgozpw5w7FjxwByBKmozUdqAU9tRLIPbNR3jfWTfvrDm0KIgps1axZff/01kB1CVqlSJVavXk1oaGiFXJyy77fs3r2bixcv8tNPP3H9+nViYmK0zUVVqlShSZMm1KlTh+7du+Pr61shFhyFEMUTGxvLunXr+Pnnn9m5c6fD0HtHAdL29EGNamzl5eWFn58fY8aM4cEHHyQoKAiQMZUQBZVfcKN+Y3BgYCB33XUX7733HkFBQSQlJZGamsq2bdu4fPkyW7Zs4dKlS1y9epXExMQc1zKbzdpmY/vr249D7Df2qMOkaoOPq6srvr6+dO/enePHj7N7925DMU79JkeQ4EYhhBBCCCFEzvHP/Pnz2b9/v3bQUo031OGCwMBApk2blmtwo6MgpNI6XKXWjVSxiaioqBzr0fXq1ePTTz+lYcOGxbqWEMK5VPsQHR3N0KFDiY6O1uZMLBaLIYytMIXBCxvcqH//whwOU79bEdezhKgIHAU3qgIzhQluLE+BjYp9cOPChQvZunUrIMXDhSiI/ApJBAQE8PXXXxc7bEzfRuzcuZO1a9eyZs2aHNfVF7164oknGDFiBHXr1nX4ngcOHGDChAkkJiYSERFB/fr1K8zhdCFuRZGRkUyZMiXHPMO0adPo2bNnmf+tttlsZGRkMHnyZFavXm0oduXi4oKbmxuffPIJHTt2dHiv//zzD/369ePatWu4u7uTkZEBwKeffsojjzxSFh9JCCGEEKVE9Q30e/nVOKdx48bMnDmTsLCwHL8POedn7YvwOTO40c3NTeuj5BeKIoTIX0ZGBu7u7k6di4iLi+Ohhx4iOTnZsOc1KyurRM/a5TYe0wc3fvDBB/zwww/MnDlTgpCEuMlIGIkQorR8+eWXfPLJJ9r5HZPJhKenJxEREbmuQ+VWIFytK6lCxiCBjUIUV2RkJB9++KH2/FitVvz8/IiIiCA8PLysbw8wPtvnz5/nypUrtGjRolDvoR/DWSwWXFxccuzNFUIIkLGSEKVN9rAJIW42aoyxadMmRo4caThf6OLiwuOPP86UKVOIiYkhIyODHTt2cOHCBU6ePMmxY8ewWCxcuHDB8J5qTkVf11EfhOSoppLUdRSi8EorYM1RcKO+ZpJ6ptVzXhpndWQ+VgjnKmoAbEUbTxQluHHkyJH4+fnJvKwQ+cgtsNFiseQ4F1zSgY3663p6elK9enU+/PBDWrZsWfwPWgR55XoIIYQQonwrmYojQgghyg01MKtbty5169bl3LlzhvCylJQUZsyYQbNmzahcuXKur3dxccHV1ZURI0bw5JNPsmfPHr7++mvOnz9PbGystvimX4SzWCzaxJSLiwsXLlxg5cqVrFy5kkcffZTGjRszcOBAQ+ijTG4LIdSEfNOmTfH19SU1NVX7WWZmJgcPHgTQNgk2atRI+/mVK1dITU1l7969xMfHc/jwYU6fPk18fDwXLlwwBMnq20L74sT6hf3PPvtMCuYJUUg2m434+Hh27NihBRjCjWesV69ehIaGlpsJZP1zrQ6p239fT92zuv/WrVsD0KVLF1xcXLhy5QoeHh64uLhgNpvx9vbWXqvaGiHEzS04OJj+/fvTp08fPvvsM7Zv386+ffsMm330gWz6tkYf0miz2bSNSxaLhbp16/LEE0/QoUMHw6EydaBCCJE//QZA/ebdnTt3aptt1HMZHx/Pxo0bsdls/Otf/6J27dr4+vry2GOPATBkyBAsFgunTp3i1KlTREdHs3XrVpKSkjhy5AhWq9UQuqg2FdqPPSA7VF59T7UL+mJXCQkJLFmyxPBZFJvNpr2/xWIhIiICQIIbhRBCCCGEuIU5Gv+o4Eb9+EfNK8THxzNhwgQtuFH/+ryCkEo6sBGy141CQkKoV68eUVFR2hqPGk9duXKFY8eOSWijEOWMah+CgoJo27atFtqont09e/YQHx9PYGAgkL02ow5MLFq0yDDnodZ2L168yEsvvVSo4EZ9CIs9NUdjP8+qflfWh4UoGX5+fgwdOhQgR3Cjet4tFgtz584FcBjcWB4DG8HYF+vQoQNZWVmkpqYyfPhw2X8iRD4KUkgiIiKCBg0aFPs50ocz33nnnQQFBeHr60tERESOPogag6xZs4aqVasyYsQIw34QpXnz5nz00UcEBgYSEhJS4Q6nC3Gr8fT0BLL/dqtCDHv37qVnz56GojJlwWQy4eHhQevWrVm1apW210StD1ssFvbu3avN5ehZrVZCQ0Pp0aMHq1atIj09HZCiNEIIIUR5UdJ/h9V7t2nThhUrVpCUlKT1dc6cOcPx48cJCwvTxiz6uQxH87P6+ZoLFy4wbty4QgU3BgYG0q1bNwAtuNHDw8PQR5HARiGKT52FcdY4xmKx4Obmhq+vrxbaqN8be+7cOadcx55agz527Bg2m43w8HDDOo869/fOO+/w9NNPa/vqZYwjxM2jUaNGzJkzRwsjUe2CmqtJSkpi1apVABJGIoQolrS0NCB7DGWz2fKcF5YC4UKUDpvNRmpqKj/88EOOGkbt27cvF4GN6rlWz/aff/7JihUriI6OZvTo0TzyyCMFfi99m6PfyyJnhoUQ9mSsJETpkT1sQoibkRpjNG7cmODgYOLj4w1nB/fs2UNaWhrVqlUDoHbt2tprr1+/TkpKCocOHeLatWvs27ePM2fOcOnSJaKiosjKysoRzqivrQRIXUchiqggAWuqjxIUFMSyZcuKHLDm4uLCK6+8Atw4i6zvi+hrJOlrnZVVYKP6WuZjhSi4WyWwEbLrTLu7uzN79uwcwY2qHbNarVy5coVffvmFjIwMxowZg7+/f1nfvhDlVl6BjUCpBzZmZmZiMplwd3cnLS2Ny5cv4+fnV8xPWXSqjdGvPctajxBCCFExmGz2s5tCCCHKrevXr1OpUqVCDzbVgG3Pnj0MHz6clJQUQxiIl5cXb775Jk888USe720/AR0TE0N0dDRfffUVhw4dIj4+HsieoFL0r1FhA0qzZs1o164d3bp1MwSvlZcgJyFE2bl8+TLdunUjKSnJcLgyODiYyMhIateubZj0drRIpsKOrl+/zrFjx0hISGDr1q1cvHiRs2fPcvbsWdzd3bXD3vbmzp0rC/tCFNGePXt49tlnycrK0vodADNmzKBHjx5lfHc5HT16lE2bNnH77bfTsWPHQr9etRH2E+X23xNC3Br0z/3Fixc5dOgQK1as4J9//uHChQuG31UhbvrDEZAd1vboo4/StGlTevToIQv6QjiJ/hldv349ixcvZufOnQCGg5w2mw0vLy/at2/PhAkTDAcTHG0oysjIwGQycfDgQeLi4ti+fTsnT57k3LlznDt3zrCpQLEPctX3HyC7QKga8+i/5+gz6eddhgwZwuDBg7WN0UIIIYQQQohbj/34Z/78+ezbt09bJ7YPlg8MDNSCG+HGOEcV9yzLICT1Ofbv38+gQYNIS0vTPpda56lduzY///wzrq6uMh8rRDm0f/9+BgwYYDiwCfDuu+/y9NNPa7+nb7emTZvGokWLgOw5FMjedxISElKowuBCiPLp2rVrLFiwwBDc6Oig1pgxYwzBjfr+xosvvsi6devKRWCjnr5Nu3r1KpUrV87xfSFEtvwOfusLSThzf6n+mbxw4QKrV6/miy++0O5DFZPR39PkyZN58skn83yeZQ+sEOXf1q1bee6557R9pmod9t5772X+/PllfXsGgwcPZtu2bYa9tBaLhYceeojPPvss14IYGzduZNSoUYDshxVCCCHK0rx58zhw4AADBw4kPDwcPz+/UhszvPHGG6xdu9awtywsLIzly5fn2JNa0vOz8fHx/Pzzz8yfP1/bSyuF84Qo/wYNGsT27du1MZOaIxk3bpw23nAWfeHNQYMGcccddzBp0iQaNWpkaB/sx0DSfghxczp+/LgWRqLfT282m8nKysLX15c+ffpIGIkQotBUX2Lq1KlEREQYzvX4+vqybNky6tevb3hNbgXCVTFQCWwUwrmSkpLo3bs3UVFRANq5uyFDhvD666+X6Vqs/trHjh1jw4YNfPbZZ9rPR4wYoQUcCCFESZCxkhAlS/awCSFudomJiTz66KPExsYa9qL5+fkRGRlJ/fr1c4QZ5daOJCUl8c8//5CQkMBff/3F5cuXOXHiBOfOncNkMpGSkuLwdbKPTYiCyStgTfUN9AFry5Yto169esUOWMvKymL27NnaPlp9cKN93aN77rlH21uSmZmJm5tbMT5xNpmPFcK5ChvY6Kz2pKyfSXX/GRkZOYIbIbvGY2ZmJv7+/ixZsoQGDRqU2f0KUZ7lFtio/jbr6x6WdGCjo7bLy8uLxYsX07x5c5kLEUIIIUShlU7lESGEEMU2b948li1bxpo1awgKCirUa9UAMzQ0lJYtW7JlyxYtYMBqtZKUlMS6det44okn8hxU2k92VatWjWrVqtGmTRvWrVvH0aNH+eKLL7SDmGoyXR8kYLFYDNc4ePAgBw8eZMGCBTz11FM0a9aMxx57TLuWDHSFuDXZbDaqVq1KgwYN2L9/P3CjPbBYLFy6dIlTp05Ru3ZtTCaT1l7o2yh90ImrqyuBgYG0bdsWgK5duwI3FvzPnTvHlStX2LlzJwkJCRw+fJjLly8THx/P7NmzZWFfiCJQz8uRI0fIysrSFvhdXFyoVq0ad955Z1nfoqF/kZWVxX//+1/+/e9/c/HiRZo0aUKTJk0IDg4u1Hs6aoscfU8IcWvQB7bWqFGDGjVq0LZtWywWC1u2bOHUqVPs37+fS5cuAZCcnExWVhbVqlWjatWqhISE8OCDDxIYGEh4eLj2vjI+EsI59M+o6vMD7Ny5U+u3WK1WTCYTqamp/PnnnwBacKMKN9Gz2WxakEnLli0N752YmMiJEyeIiYnhjz/+IDExkcOHD3Pt2jUyMjIAtMBGV1dXbDabdn39v/pr6T+L/vv64ANV5HzChAnavQkhhBBCCCFuLY7GPyq4URWa0h+kjI+PZ8KECVpwY3kIbNR/jrp169KuXTt+++03XFxcMJlMpKenA/Dyyy877VCXEMK5bDYbd9xxB0OGDOHrr782zF+sXr2ae+65h7CwMMDYbqkDFIsWLTK8Rq0/XbhwgXHjxklwoxAVnJ+fH0OHDgUwBDdmZWVpz7vFYmHu3LnAjX6Jvr8xevRoNmzYkGs/pVOnTnz55ZdA6QY2grFNU4GN6vtCCKOCHPxeunQpdevWLfbBb3v6ZzIkJIRnnnkGgC+++MJhH8RisfDuu+8SGhqa5x4YWdcVovzTtzf6vah79uxhz549tGrVqixvD0Cbt6lfvz7btm3TCmGpvfonTpwgPT0dDw8Ph6/v1KkTXbt25eGHH5b9sEIIIUQZiYiIYPbs2cCNYtr16tXjlVdeITQ0FC8vL6Bk9oaqsdPTTz/Nnj17iIqKMsyt/vzzz/Tv3x8w7nnXz8/abDYWL17stPnZwMBAunXrRmZmJl9++SXvvfeeFM4TogKoVKmS4f+rPaynTp0CcgYoFpW+8KaaM96/fz/Tp09n/PjxhIeHG4oH60n7IcTNqVGjRsyZM0cLI1HthNVqxcXFhaSkJFatWgUgYSRCiEJRfYfr168D2ed5srKycHNzw9fX1/D7UiBciNJ38OBBzp07p53xU32AZs2aAWU7BlBzOPPnz2fDhg3s2bMHyF7bnjdvHu3ateOee+4ps3sUQtzcCjpWMpvNPPnkk9SrV6+sb1mICkP2sAkhbnZWqxV/f38aNWrE1atXtTomFouFuLg4Dh8+TP369Q176Ry1I6r/4ePjo43T2rdvD0BaWhqXL1/mypUr7Nmzh8TERPbt28eVK1eIiYlhxowZso9NiAIobMDa8uXLndZHcXFx4ZVXXgFuzH+ovojatwrZQWdt27YlKSkJX19fCWwUopzKLwAWSqY90Z/hu379eo69J6VB1d13d3dn9uzZOYIbVWAjwPvvvy+BjULkorwFNtq3XZ6enkRERNCsWTOp0yqEEEKIIpHQRiGEqAAWL17M7NmzMZvN/PDDDzzzzDNFmpSuXLkyXbp0YcuWLTnCE3///XfWrFnDE088Uaj3VBNpDz30EC1atGDp0qVcu3ZNO3ylNvWor1XxCFX4Uw2uMzMzWbJkCVarlV9++YW77rqL7t27GwKTZCJciJKlf8bKeqJJ3Uf16tXZu3ev9v9dXV2xWq3ExsYW6PWOPoNqt3x8fAgPDyc8PFxb8L9+/ToZGRlcvXqVhg0bAtL2CFFY6nnZu3cvcOOZUweWfHx8CAgIKMO7u0G1Db/++itbtmxh5cqV2s9OnTrFmTNnCA4OLvO2UAhRsdn3H7y9vTGbzTz66KPa91S/JCUlBavVmuNQp6L6I9ImCeE8xQ1utO8nOApuVu/j7++vHXjo3r07AGfPnuX69escOnRIO0iqxj5paWlAdmEbtSnBxcXFEOio5lf0m57txy933XWXBDYKIYQQQghxi8sruFEVZ1CFp/TBjR9//DH33HNPjsBG9RooncBG/efw9/fn/vvv57ffftOC60EOVwlRXCX93Kj3btOmDStWrCApKUmb9zhz5gzHjx8nLCxMm0vJL7hRH+QmwY1C3BxyC260WCyGYjNz587FarUyduxYIGdgo30/pSwDGxXplwiRv9IuJJGfoKAg+vXrR1paGgsWLNDWaLKysgxt0qxZs5g+fboUAheiAqtXrx5169YlOjpamxux2WykpqZy4sSJchHaqNaCO3fuzLfffqvdI9xYR05LSyMzMzPX0EaAiRMn4u/vD8i8iRBCCFHa7Mc70dHRREdHs3v3brp160bHjh3p3Lmztg/NmXvX1dipbt26hIWFERUVpe1Ds1gsbNq0iaeeegow9hH087NvvPGG9jmcGdzYo0cPHnzwQWrXrp3j+kKI8kO1Saqwv2pD1FlhdbbP2YGNqvCmh4cHGRkZbN26lVmzZvHyyy/TuHFjaS+EuMVIcKMQoiSocZeaa1X/AobC4yAFwoUoK8nJyWRlZRnOzwHaGbmyfr5iY2P55ZdfOHTokKEgsdrbtmXLFu655x6pUyCEKDEFGSstXLiQjIwMXn75Zby9vcv6loUo92QPmxCiJKixjKO6jmUxd6CuXatWLcN8iDpbGBcXV6j30d+/ahvd3d2pU6cOderUoXXr1gCkpqZis9m4dOkSYWFhgMydCJGXwgQ2BgUFsWzZMqf3UXILblTXV2d7v/76azIzM+nTpw/VqlUr9nVzm49V15X5WCEKJ7/2xGQylXhg49tvv62dG9TXly8tuQU3uru7k5GRAcDcuXMlVFqIXKi/zWfPnmXAgAGGwEZF/Z1+5513GDBggOF1RZFXYKN92yWBjUIIIYRwBulBCCFEORcREaFNbFmtVtavX098fDyQc9NvXtTiWLdu3bj33nu176lC/yaTid27d2OxWAwLaflRg9hTp07Rp08fEhMTtQGqCldzcXExbOxRr1MFLuwDJH/77TdmzJhBnz59mDdvHtu2bTNcSx3sEkIUnXqO9M+7fnI4t7DD0qKuVbduXQBDgT2r1cru3bu1NqSw9O0QYNio7ePjQ+XKlSWwUQgnuHz5MpBdOAogICAAV1fXIj27zrZq1So++ugjLbDR1dUVV1dXEhISmDlzJqmpqTLpLoRwKvsDnVlZWdr3vL298fHx0X5mP+aR/ogQJUMd3ATo3LkzgwYN0sIV9c+oPrhx2rRpXLhwQZvnyIv95iP92KN27do0adKEfv36MXnyZBYtWsRPP/1EZGQkY8eOpV+/fjRq1IiAgABDkXG1McBsNmuHOvXvr9/QMHfuXLp06eKE/1JCCCGEEEKIis5+/DNs2DBatGiByWQyjH/0wY2vvPIK/fv3NwQ26n+3NAMb1b0B9OrViwceeEBbS5LDVUIU3rx58xgzZgw7duzg2rVr2v6NkqYKkKu9Kq6urqSkpPDZZ5+RmJhomOfQt1sTJkxg8ODBAFrBCSBHYfADBw6U+GcQQpQcdQBzyJAheHh4GPoW+q+/+OIL/v3vf+cIbLTvp5SHwEYhRP7KW7ErpVq1avTp04devXoB2W2MGkMBnD59mo0bN2rrN0KIiic4OJgqVapoz7XNZtPamXnz5hEVFVWWt2cQGBiI2WzWChSrcdyVK1dITEzMcz+eCmwE2X8ihBBClCb78Y76O+7q6kpycjLfffcdY8aMYdKkSWzatInMzEyn71232WxUqlSJsWPH4uPjY5gj2bhxI0uXLgVy9hH087NvvPEGgwYNArLnWGw2W7HmZ4OCgiSwUYgKQLVJNWrUALKfV/W/xMRE7fvFkVvhzfT0dMxmM25ubmzevJmpU6eSlJRUvA8lhKiQVBhJnTp1tDkR9a8+uHHFihXlaj5HCFF+qTlhdfZGrQGZzWa8vLwMNQ2kQLgQZUMV3dU/jwDp6elleVua4OBgXn31Vcxms7YXDm60Lzabjd9++43k5GSpUyCEKFG5jZVU22O1WmnXrp0ENgpRALKHTQjhLPZ1HfV118BY11F9vzTrOqr7q1WrFpBdD0XVQSlKHVpFvZf+M6r38fDwwNvbWwIbhSiAwgaslURgo6KCG4cNGwbkPJfj6uqqBcavWbOGmJiYYl0vt/lYNQer/1rmY4XIX17tiep/qHWOkgpsfPHFF1m9ejW//PILq1atIjY2tpifqmjsgxsfeeQRLbDxs88+k8BGIfJgNpu5fPkyDz/8MLGxsdq5XzDuO+3UqZMW2GifM1EYeQU22rddKrCxefPmEtgohBBCiGKRKiRCCFGOLVy4kOnTpwPg7u5ORkYGu3fvZsGCBUyYMKFQE1lqwOnj48Mdd9zBli1btIkjuDEoXbt2LT179tQCCvKjBqSnT59m2LBhXLp0SRvE6ifzR44cyalTp/jxxx+1TZBq8V8t1Ok3/qj3vXjxInPmzCErK4v+/ftz11130alTJ7y8vArzn1EIoaMP+ACIj48nJiaGixcvcuTIEdzd3UlLSyMlJYX69esTGBhItWrVaNq0aY4JqJKclFLtW/PmzQ3fV4vwCQkJTrt2XmGVMmkuROFZLBZSUlKIjo7Wvqf+5gcGBuLm5lYuQhv9/Py4ePEikL0Yrw5wXLx4kaioKMLDw2UCXgjhdKp/YT+eyy9AWwhRMlQ/xWQyaRtoAHbu3KltIlJzFiq4EW6EBYSEhBSqr6B/ztXX6vU2m43atWtTu3ZtmjVrBkBSUhLXrl3j9OnTHDhwgJiYGLZt20ZycrK2CUm/kQAwbDCUDUFCCCGEEEIIPUfjn/nz57N//37D+EcFN8bFxREXF2cIP9KHIpVmYKO6f7gx/qlbty5wI6xexj5CFE5ERASzZ88G4Pjx49SrV49XXnmF0NBQbS9GSayNqDbk6aefZs+ePURFRRmKev/888/0798fyH7e9e3WhAkTsNlsLF68WGtzLBZLjsLgn3zySY41ZiFExaGCG+HGvrn09PQcz7vFYuHTTz8FMPRN9F9LYKMQFUNuhST0B79LspBEfurVq0evXr24cOEC27dv19aL4MZ67rVr11i9ejU9e/bE399fxiRCVDBq3NO+fXt27dqFi4sLFotF+/7169fZvHkzoaGh5WL/WHBwMJUrV+bSpUuG77u6uuLi4iJtkBBCCFHO5FbcF7IL0qi/3cuXL2fjxo00atSI1157jSpVqhhCl4tDFeoOCwvjscceY9WqVVpQtdVqZcuWLXTp0oXKlSs7fK3qY7zxxhva53L2/Kz0YYQo/1Rhf32hYZvNxtmzZ4mNjSUwMLDI8zb5Fd40m83a1wMGDKBSpUpO+ERCiIpIhZGMHTuWs2fPau2HfXAjQP/+/QkNDS3jOxZCVARubm5A9rjEZrORnJxMQkICQUFBUiBciDJ05coVbDYbWVlZ2tl/i8WiPXdl/azZbDZatWpF7969Wb16tSEsTc2V7Nq1i44dO5b5vQohbm72YyX9XMrcuXO5//77y/gOhSj/ZA+bEMIZ7Os6Xr58mZiYGKKjozly5Aiurq6kpKSQmprKbbfdRkBAALVq1aJx48Z4eHg4fK+SoN63ZcuWOa4JN+o6OnPfvb69cvR9IYRRfoGN6uvSDJVWwY1w4yyyoz0jycnJfPPNNwA88cQTVKtWrdDXyWvdWN83A5mPFaIgCtKelERIvX1g47p163B1deXixYusWLECm81G3759CQ4OLuYnLDx9cONHH31Eeno6vXr1kvZEiAKoWrUqd9xxB/v379fmTRRVV/qff/5h/vz59OrVi6CgoCI9U3kFNtq3XRLYKIQQQghnkkokQghRTp06dYpFixYBNwaEGRkZ2iTPmjVruPPOO3nwwQcL9Z5q8Dl06FB+/vlnzpw5ox2iVAPQyMhIGjVqhJ+fX57vpQ9sHDp0qCGwUU1qBwQEsGLFCkJDQ8nIyKB///4sWbKEQ4cOcfLkScO19eGRJpOJrKwsLbTAZrOxfPlyli9fzu23305kZCS+vr5F+u8qxK3ObDYTExPDpk2b2LlzJ7t37+bixYuGxSj971qtVjw9PalTpw6NGjXioYceolGjRoSGhmqTUiU5wayedTUxp9qNkydPEhcXh7+/f6lvZhJC5M3V1RVPT09tAl39LYcbG4rS09NzbBYqC4888gjPPPMMixcv1hbm4UYRz5iYGH777TfCw8NlAl4IIYS4BZRmcKM99Tr9mEq9n7e3N76+voSEhHDfffcBkJiYSFZWFtu3b+f8+fPs2bOHEydOkJKSQlxcHABz5syRDUFCCCGEEEIIh3ILbty3b1+O4EZFzfGWZWCjvZEjR9KhQwfuuece7R5l7CNE/uwPWEVHRxMdHc3u3bvp1q0bHTt2pHPnztp8hTMPKqg2pG7duoSFhREVFaUV07JYLGzatImnnnoKMD7TpVUYXAhRfuQW3JiVlaWFGqj+ic1m04rxggQ2ClGR5Hbw28XFhczMTIKCgli6dCn16tUrk2JXqv9x1113ER0dzbFjx7h27Rpms1nb6+ri4sLJkyf5+OOPee+992RMIkQFo8Y6rVu3xmazGfoZANevX2flypX07NkTHx+fMj/I7ebmpo2PFFdXV/z8/PDz85M9bkIIIUQ5EhER4bC4r54qeqnOCcbExHDx4kWOHTvG3XffTc+ePWnbtq32+8UZF5nNZjw8PLjvvvtYsWKFdl82m41NmzZx6NChXAME8pufzcrKkvlZIW4B9erVw93dXXvmAW2ORD8/W1j5BTbqv547dy6dO3eWdWEhbnES3CiEsFfUeVvVf1E1DLKysrS519TUVNLS0hz2U+yLgYIUCBeipHh6egLZcxPqGd27dy89e/Ys1ljEGUwmEx4eHrRu3ZpVq1YZ6iOp/XB79+6lY8eO0i4IIUqcGiu9/PLLnD59GsieSwHpowiRF9nDJoRwFpvNxsWLF1m3bh179+5l586dxMbGavOXevraq1WrVqVx48Z07NiRO+64g4YNG5ZKXUdvb28gZ13HqKgoLl26RNWqVWU/mhClLK+AtaysLEwmk9ZHKe1Q6dyCG/V7RooT3CiBjUI4V3kIbBwzZgzr16/X3k/VwF61ahVJSUmMGjUq35r3JUEf3Pjvf/9b++8k7YkQuVNtw7fffsvw4cPZvHmz9myrmowAUVFRLFu2DJvNxpNPPklAQEChnq28AhvVHIgENgohhBCipEhvQgghyqk6derQsWNHIHvgqBbekpKS+OOPP0hLSzMUX8iPeg8fHx8eeeQRXFxccHFxwWazaQPQw4cPa0X+7Rf6lIIGNi5btozQ0FDt+02aNOHdd99l8eLFDBkyhBYtWgA3JtdsNluOQa4qrKUPdho6dKgENgpRRFu3bmX27Nn07t2bd999l//85z9cunRJ26hsNpu1/7m4uGgTVhaLhRMnTvCf//yHsWPHMnr0aKZOncqxY8dITk7WglZLQlhYGNWqVdMm5VSbFxMTw/Xr1yWwUYhyKjMz02EfJT09vVxMaqs+Tq9evXKE0Lq4uGA2m9mzZ0+h+1pCCCGEqLj0BS47d+7MoEGDuOuuuwC0g5Pq91Rw47Rp07hw4YLDzdLFoa6l76Oof/38/AgKCqJr164MHz6cL774gv/85z8sWbKEadOmsXjxYh5++GHt92VDkBBCCCGEEMKe/fhn2LBhtGjRQlvvUYVj9IcuAW1NuUOHDmUa2JiVlYW/v78ENgpRSLkd2FQHI7/77jvGjBnDpEmT2LRpE5mZmU5f07HZbFSqVImxY8fi4+NjaEM2btzI0qVLAXItDA7wxhtvMGjQICC7DVLtk74w+IEDB5x670KI0qWCG4cMGYKHhwcWi8Wwb0S1CfpDVRLYKETFsXDhQocBJiaTCYvFQkBAAMuXL6devXqG57806fsfvXv3pkePHtp+VvuCOIcOHeLcuXPa94QQFUvr1q3p3r27YRyi9pAdP36c999/H8AQ6FgW7MPtVZsJue/3F0IIIUTpW7JkCVOnTgVuFIhR87D27As+qf7HpUuX+OGHHxgyZAgffvghGzZsAHDKuKhz58706dMHwFBA79NPP+Xy5cu5rrXkNT+rP5Mo87NC3Lz8/f21Ng3QCoJmZGRw+fLlIr1nfoU37YOQVMiAEEKoMJI6depoNRPUv/rgxhUrVhAVFVXWtyuEKEH6NZtFixbxxRdfFPi1aozj5eUFZJ/dUcV6XVxc2L17d45+in3ItBQIF6Lk1KpVC1dXV21eQq2FqHXZ8lJjpGfPnoa9rIC2V+XUqVMAJVaHRQgh9Bo1asTs2bOpUaOGBDYKUUCyh00I4SybN29m5syZPPnkk0ydOpVffvlFq+Oqr+mo6jqazWatvblw4QLr16/nnXfeYcyYMYwfP559+/YRFxdnqDvrbLVr16Z27dqGtsRms3H58mWuXr1aLurDCXEryS+wUf2OxWLB39+f//73v6UeKq2CG4cNGwY43jOighvXrFlDTExMgd43r3VjQAIbhSikgrQnpR3YqOoWuLq6cvHiRa5evVomgY2Kui99GyLtiRC5c3Fx0c6tfPPNN9x7773avlh9TUaTycT58+dZvnw5q1evJiEhwTCvkZe8Ahvtw2YlsFEIIYQQJUF6FEIIUQ5ZrVbc3Nx4/fXXue2227BYLIbNvlarlW+//ZYdO3YUeACqqMW6Bx98UBt8qkkjFxcXzp8/z+eff679rqN7K2hgY1hYmDb5pt7Ly8uLoKAgXn/9dWbPns20adNo0qQJ/v7+2qBbhcfZbDZcXV1JT08HYO7cuTz22GOyKUCIQjp58iSzZs3iueeeY8GCBcTGxmqblBWLxYLVajX8T02s6wt2wo0NwhEREYwbN46JEydy4cIFwyS7M59RX19f/Pz8yMrK0hb21UFPtSAnbYIQ5YvFYjH0XdQkutls5tKlS5w5c6bMn1t1b/Xr16dWrVqGCXfVBu7fvz/PAhRCCCGEKBuF6UcUts9hH1wycODAMgtutL8v9a++YBfc6Ht5eXkRFhZGz549ufvuu7WfSz9GCCGEEEIIkZuCBDeCsViw1WqladOmzJs3D4CMjIwyCUKyP/ghYx8h8md/wMpisWhrr2pNRz1Ly5cvZ+LEibz44ov8/fffJCYmOu0+1KHxsLAwHnvsMe1wpouLCyaTiS1btnD16tVcXyvBjULcWhwFN6rnXU/tb+nYsaMENgpRAezatYvp06cD4OnpqR2ehOx1kH79+hEaGqrtHy0ranwE8K9//Yu7777bEByrvj506BC///679hohRMXTuHFj7Zm2D1DavHkzK1euBMruGbfZbERFRRmK2Kj5kTp16hjCU4QQQghRtho3bgxkB30AhnGE4u3tDdyY11Bn6FTgkBoHLV68mDfffJNXXvl/9u47vqb7/wP4644sImTYe4/WLhqqUVJbUbWJBjW+Rc3a1IwVM6hNIkaslhotHaharVlbS6gREhISWXf8/sjv88k52Ymbxev5eHiIJPeccz0e59zPfL9G4tq1a3jx4oV8TXqJ1zRt2hQFCxaU16fRaPDkyRNcu3YNQPIhAhkZn718+XK6r5OIch6z2Qxra2vkzZsXQPzzwGAwwGg04t69e+k+ZmqBjSy8SUSpYXAjUfYQ/ZecQLkfeMuWLZgzZw6WLl2KDRs2pOs4pUuXBhBff0XMPXt7e6NXr16ynSLCWxjYSJR1xBo3MX4h/pw7dw7nzp3L7ssDALmutnz58gDiaxeI8ZWbN28iOjo6xwRMEtGbr0qVKti3bx8DG4nSgGvYiMgSrl+/jnnz5qF///7w8/NDSEhIqnUdjUajrKUoxhvEM+a///7D3r17MXLkSEycOBHXr19X1YG15LhMvnz54OzsLMd7xBgIADx9+tTi5yOi5KUUsCb2/ykVK1Ys28LORHBj//79ASS9ZiQ9wY2pBTZyPJYofdLyPMnqwEZxn4u2T5MmTWRfjG0NotxDGZ64bt06fPDBB6r5G7FmIyPBjSkFNorxELGWzNbWFn5+fhYPbFReH59NREREbyeGNhIR5UBarRZGoxF58+bFyJEj4eLiIjuKJpNJDkjNnz8f9+/fz9CgcY0aNeDh4SGPCcR3VC9duiQ3Ryo7ixkNbExInK9o0aLo0KEDli1bhqVLl8LV1RXOzs4A4hYiJhwoF4uCiChtTCYTtmzZAi8vL6xZs0YOlotnjPgd5TMkYQCIcoBLDIqJgam7d+9i37596Ny5M/z9/fHvv/8mes3rXr9Op0Px4sUBxBeZMRqNMJlM+Ouvv1TXTEQ5g16vR/78+VGyZEnV900mE54/f45//vknR9y3IiT7iy++kIUvAMgFkyaTCaGhodl3gURERKQixhKU7Yjg4GA8efIEZ8+exZ9//olLly7h9OnTuH37Nl6+fInw8PB0nyenBjcmdZ0Akt3okRPaW0RERERElLOlFNwo5oUTzvk8fPgQp0+fBgBYW1tz4TFRLuDr65tog5WykJWy6JyYjw0KCsJvv/2G/v37Y/bs2Th58qTqmK8TBqLVamFjYyM3ZYg5aLPZjKNHj+Lvv/8GkPTGhtQKg4trY3Aj0ZsjueDGhM8xAKhZsyYABjYS5XSlSpXC559/DgCIioqS96so+mI2m7Fu3Tps2LAhQ/M8liZCpvV6PVq3bo18+fKpNnWK6z948CCeP3+eZfNERGQZon/Rt29fuLq6JlnULiQkBAcPHsSFCxey7To1Gg1CQ0Nlfw6I75fVrl0bNjY2LPhLRESUQ9SpUwcBAQGqEEbl+IXZbIZOp0PDhg3h5uaGPHnyyGK7yv0y4uuXL1/iwIEDGD58OKZMmYJr166p+iRp7YOI1zRq1AgVKlSQ6+A0Gg2Cg4Ph5+cHACm2KdIb3PjFF1/g4sWL6fnvI6IcSKPRoFChQihatKjq++K58vLly3QdL7nCm8rCxCy8SURpweBGosyXcN2G6EMoZce8iLIAp7+/P6ZPny5/NnfuXKxbty7VY4j3UaBAAQCQ9RdE/+3333+X80PiZ2ynEGWtsmXLokyZMnKsQszbREZG4ubNm9l8dXFE3RV3d/dE8946nQ5RUVHyuUFElFXs7e0BsI1ClBquYSOi12EymbB582Z4eXlh/fr1AKCq6yieI0nVdRRfK+delWvCNBoNHj58iF9//RXdunXDt99+i2vXrsmfWeL+FgGSxYoVA6Cu6wgAZ86cee1zEFHapBSwJu5J8bwQ4xDXrl1Dz549ERQUBJ1O91p7/DJCp9NhxIgRiYIblV+nJbgxpcBGjUbDwEaidEotsFF5Xzk6OmLLli2ZHtiorNNmNBrh5uaGb7/9Vr6O9zJR7qIMbly7dq0quFGEs6Y3uDGlwMaEYbO2trbw9fVF9erVLRrYmPB5ZKl+FxEREeUuDG0kIsqhxEDTu+++i/fffx9arVY1+KTRaPDo0SP8/PPPsiOZXjVr1oS1tTWA+AF5s9mMwMBAHD9+XH4fsFxgIxC/KUtcc7FixdCgQQOsWbMG8+bNg4eHBxwcHORAuY+PDwfKidLJaDRi6tSpWL58Of744w8A8ZNwYgBIbJBQDjbpdLpE4R8Ji/IqN4/r9XqEhIRgwYIFWLx4MU6cOAHAMgNNWq0Wer0elSpVApB4g0dISMhrHZ+IMpejoyOA+EWJ4pnyyy+/IDo6OtsHo8Wzr2DBgrIYsXi2GY1GREREyEVLRERElP20Wi3Cw8Nx+fJlLFq0CF999RW6dOmCzp07o3fv3ujVqxd69OiBPn36oEePHujUqRM8PDywfPlyfPfddwgPD0dMTAyA+I3hyY2l5JbgRiIiIiIioteVUnCjcsxUzCc9e/YMw4cPx9GjRxO9nohyns2bN2P27NkAACsrK3lfJ6QsGC7ua51Oh8ePH+P777+Hp6cnvLy88PPPPwNIuXB3Wrm7u6Nz584A4jdnGY1GLFmyBE+ePEl2XUhKhcFFQQoGNxK9WZIKbhT3u3Id2dKlS7F06VIGNhLlcIUKFUL//v3Rt29fAOpN2srit97e3ti9e3e6C/9nBtEfatasGZycnBJtHgeAf//9F8+fP7fYpk8iyhrK/kXHjh3h7OysGucQ9/TJkycREBCQLWtWTSYTYmJicOjQIdU1iX5ZxYoVASQ/901ERERZr0aNGvD394eVlZXceyNoNBoYDAacP38erVq1wtixY9G3b19VkRllwT3xmsDAQBw6dAjdunXDnDlz8OuvvwJIvD8vJSaTCdbW1hg5ciRcXFxUBXNOnjyJ3bt3p3qM1IIbxe8AQGhoKF68eJHW/zYiyuESzg2Je/3WrVsAkKZioCkV3mQQEhFlRFqDGwMCAnDnzp3svlyiXEMZGGA0GnH27FkcOXIEmzdvxrZt23D48GGcP38esbGxsjCnkNl7aRIGNs6YMQNAXD0E0SeZP38+li9fnuqxzGYzChUqBGtr60R1FATx/lggnCjrubi4oGDBgrKvIdazAcDq1atzVCizo6OjDGcR621NJhOePn2KsLAwzuEQUbZgG4UoZVzDRkQZZTAYMHnyZCxfvhynT58GABmaJsZFxDp35b2Y8GvRx1F+Zou+g6jrGBUVBR8fHyxatEi1dux1A9q0Wi20Wi2qVauW5M+fPXsmr4OIMk9aAhsF5b4/rVaLixcv4quvvsr24MZ+/foBiN/TB0Du6UsuuFEEx6YU2Mh5Y6L0E/eGn59fkoGNGo1GBjZu374dZcuWtWhg49ChQxMFNiq/dnNzw6pVqxK9johyl5SCG5XrXtMS3JhaYCOARIGNNWrUsHhgo16vh9lsxsiRI+Hv7w8ArCFJRET0FuKsChFRDleoUCF069ZNdhqVg1rh4eH4/vvvERERkaGANHd3d7i5uckiVkB8SNvmzZtl4TpLBjYqKQe9xbFcXV0xYcIErFixAmPHjsWKFSvg7u4OgAPlRGllMBgwbNgw7NixQxaJUS70FYNCRqNR3lf58+eHo6MjSpUqhaJFiyJv3ryws7OD2WxWTXAlvAfF/R4ZGYlffvkFkydPxo4dO+Q5X2cRsXitvb29/Lfy/H/99RdiYmISbeogouwl2iM1atQAEB8GKyb2z549i9DQ0BwxGG02m1G+fHm89957qsF+MRAfGRmZrddHREREca5du4aAgAB07doVAwcOxKpVq/DTTz/h4cOHePLkiWqDtEajQXh4OO7du4dr165h2bJlGDduHDw8PDB16lTcuHFDfsanNJbC4EYiIiIiInpbpBTcqFy4LMZOnz9/jnHjxjG4kSgXEJuolRswletDhDx58gCIm+MR97ooaCnWkGzatAkTJkzAyJEjce3aNVlsOyNjIOI1TZs2RcGCBeX1aTQaPHnyBNeuXQOQfIHf1AqDJxXcePny5XRfJxHlHEkFN4rnk8lkkl+vWLECPj4+2XmpRJQGLi4u6Nu3b5JFr8RnuMFgwPz583NM0SuTyQQXFxcMGjQIVlZWqvaUXq9HWFgYjh07BoDBaUS5jViT2rBhQ5QrVw5AfBiJKPAPALt378b69esRHR2dZdcmxmWMRiP+/vtv+T0g7tlZpkwZNG3aVPU+iIiIKGdIKbhRp9MhODgYCxYsgMFgQP/+/REQEIA2bdqgRIkS8vM+YXCjXq9HdHQ0/Pz8MGzYMEybNg1//fUXoqKi0rSnUMz3FCtWDLVr15bHFeOpf/31V5reW0rjszY2NrJwno+PDxo3bpzW/zIiyqFEgfJSpUoBiO97iDkcsW8xtb3EqRXeZBASEWVUWoIbN2zYgC1btuDVq1fZfblEuUJERASuXbuGcePGoVu3bujduzeGDBmCmTNn4ptvvsHQoUPRvXt3tG/fHkOHDsXPP/+Mf/75B0D6guXTK6XARoPBAIPBADs7OwDAmjVrEBYWluLxNBoNqlSpIgsTK9fTJOyLsZ1ClLXEGEfjxo2h0WhU8zZarRYvX77E77//rvrd7OTi4gJnZ+dEzwS9Xi/DWoiIiCjn4Ro2IkovUddx165deP78OQB1mIdyLwsQFzDi4uKCokWLyjEIFxcXODg4AIAMelTWLRFEXUeDwYDff/8dM2fOxOrVqwHEzclYoi8k6jomnM++ePEiIiMjszwEjuhtklJgo8FgUNVAFOOWCYMbL1y4kO3BjSNHjlQFNyZsSyUV3CiCqBnYSGR5u3btwqxZswDEtUNEYKNgZWWFOXPmoFSpUjJAOqMSBjYePnyYgY1EuVR6+xaWCG5U9kGUgY3KZ1dWBjZ6eHjgwIED2LRpE3bv3g2AwY1ERERvG/ZSiIhygffeew9jx47FjBkzYDAYVBNs165dw5w5c+Dl5ZWujqMYyGrfvj3+/PNPhIWFwWQyyY5uREQELly4gBo1amRKYGNCCRdKvvfee6hbt65qgoAD5USpMxgM+Pzzz/Hnn38mGZpoNpthMBhga2uLd999F++//z6qVq2KSpUqwcrKCk5OToiOjkZoaChCQ0Nx5swZBAYG4scff0R0dDSioqLkM0A54KXVamEwGPDw4UNMnjwZERER+Pzzz1/rvhWvrV69OmxtbeWmCfGenj17htjYWOTNmzfj/2FElMjrfuaK9kjt2rXl4h9xPL1ej0ePHmHVqlWYOHHia03YWYK4LkdHR9Xzkm0OIiKinCE4OBh79uzB9u3bERwcLPsjQPyktvIzXNlPEb8DxLVvrl69iqtXr+LQoUNo1qwZPv74Y7Ro0UL1OwnbAMpFAO7u7vL7Z86ckeMfYgGACG4EgHHjxqFYsWIWneQnIiIiIiLKTEn1f9atW4cLFy7I4HqxwUsEN44fPx5eXl5wc3NTvZ6Ico46deogICAAPXv2RGxsbKJxClFot2HDhoiJicHZs2fl5moxJyzGQIxGI16+fIkDBw7gypUrqFq1KgYOHIiqVavK46V1LET8TqNGjVChQgWcPHlSFqgKDg6Gn58f3NzcUpxHUj53xo8fDyBuo6rYKGEwGFTBjV988QVWrVqFmjVrZuS/kohyABHcCAAbNmxAdHS0fFYp730R2jhkyJDsvFwiSoUoeqXRaLBu3Tp5Hye8p+fPnw+z2YxOnTohX7582Xa9ov1SunRpmEwmOT+kLLBz+/ZtAFxzQpRbubi4YOrUqejWrRvCw8PlM0kERBsMBqxbtw42Njb48ssvs2Tdm3j2rFq1Crdu3ZLz0+Lvpk2bIm/evJyXJiIiyqFEcKNyfFbsv9Hr9QgODsayZcsQGxuLXr16Yfr06fjvv/+wfPlynD9/Hk+fPpVjnGK/n1gzZzQasXXrVpw8eRKVKlXC6NGjUbBgQRlQktKcjbOzMzp16oTDhw+r+l+7du2Cu7s7Pvroo1TfW3Ljs1FRUQDiCueJ+SbOHxHlbuL+LVasGID4Qt+imGZERESqx0gusFEU8GLhTSJ6XSK4cdiwYbh375587mi1Wjm+07BhQ+TJkye7L5Uoxzt16hQOHjyIgwcP4sWLFwDixynF32Idyb///ot///0XR48eRcmSJfHxxx+jU6dOKFGiBGxsbDJccyQpqQU2AnFFPCMjI+Hi4oJNmzYhf/78KbYnxHxPkSJFcOPGDdWxBLZTiLKHuN/r1q0ra6Mo66a8fPkSAQEB6NChQ46YJ7GyslLtZwTinh8ODg5wcHDgHA4REVEOxjVsRJRWqdV1FL9ja2uLunXrokGDBnj33XdRvnx56PV6ODo6IioqCq9evcLz589x4cIF3LlzBwcOHMDLly8REREhj6vRaOQ9LuaHg4ODsXDhQrx8+RKjRo2ySD+jatWqyJs3L6Kjo+U4KhBX4yUiIkLOPRORZaUW2AhAhhTZ2dmhQIECePTokXwmKPf4iuDGJUuWoHDhwhYdk00LEdwIQNWWUu7pE8GNZrMZHTp0QLFixZKcN2ZgI9HrMZlMcHBwQOHChREUFCTvG9FmEWvWdu3ahcKFC6Ny5coZPpcyeHHIkCE4cuQIAxuJcinRvnj8+DFu3LiBBg0awNbWNtXXic97vV6PtWvXol+/fjhx4kSibAkAMrgRAD777DMUKFBAHkcZ2KhsC4k2ga2tLfz8/FC9evVMDWw8e/YstFqtXL8LAJ9++qmqj0ZERERvNq7qICLK4cQgV7NmzeSGRWUogUajwalTp3DkyJF0HVd0ZGvXro2CBQvKTZ/imNHR0Vi/fj1MJhMePXqUqYGNSsoOsLJTyg4qUeoMBgMGDhyIP//8Uw4AAVBNshUuXBhubm7YtGkTli1bhiFDhqBZs2YoWbIkihQpAmtra+TLlw8lS5ZE9erV0a9fP0yfPh1+fn4YN24cKleuLIMTlYNWYiBJPEfmzJkjB5vEzzPKyclJLmYCIM8TERGB+/fvv/bxiSieclB47969uHDhQoaPU6RIEZQuXVpuxlYu8jt37hyuXr0KAHLBTnYQ1+Pi4gIAqok+AIiJicmeCyMiInrLmUwm7N+/H9988w28vb3x33//ISoqSgYEaDQaGI1G1cIg5WIh5deirSH6EZGRkThw4AC++uoreHl54dq1a/KYSbVLlAuQ3N3d4eHhgfr16wOALIQlfk8EN86ZMwcPHz6Ui6CJiIiIiIhyg4T9n379+qFWrVqyv6ScE9JqtXj27BnGjx+Po0ePJno9EeUcojC4lZWVLMwgaDQaGAwGnD9/Hq1atcLYsWPRt29fublBOcYiXqfRaBAYGIhDhw6hW7dumDNnDn799VcAUD0nUmMymWBtbY2RI0fCxcVFjs9otVqcPHkSu3fvTvUYyufO+PHj0adPHwDqDVziukNDQ2VBQSLKvURwo6enJ2xsbGAwGFRzvOLe9/HxkeGNRJRzubi4wNPTE/369QOAJO9pg8GABQsWYNeuXXj58mV2Xi6AuFDsDz74QP5btF8AIDAwELGxsZwbIsrFKlSogOnTp8POzk5VAFjZx1ixYgWWLVuG8PDwLLmmixcv4o8//gAQ19fS6XQwGAwwmUxo1qwZdDodi/0SERHlYMmNz4o+T2hoKFauXAl/f3/ExMTIwKGZM2fC09MTQHyQiE6nk+Ohou909+5d/PTTT+jZsye8vb1x8uRJAPHjosn1T5o0aYJOnTqprgUAdu7ciWfPnqXpvSUcn+3evTsAYOnSpSycR/QGEc8REXQm7mmxPygwMBDh4eHJzg2lFtgoCo4CLLxJRK9HtKNKlSolx23F88XHxydNwdREb7s9e/Zg0qRJ2LVrF168eAG9Xq/al2MwGORaErHGQ/Ql7t+/j/Xr12P06NGYN28enj17luWBjaLuia+vL8qXLy+vMTlarRa2trbo0KEDtFqtLAwusJ1ClP3q1q2Ltm3bqu45MVdy48YNTJ8+HQCSDUzJKgnX1ok1eUD21lAgIiKitOEaNiJKjcFgwKBBg1Ks61isWDE0a9YM/v7+WLJkCQYMGICGDRuicOHCcHZ2hlarRZ48eeDi4oKKFSuic+fO+Prrr+Hv74+pU6eifv36sn6KqAcrvlaOwaxZswYzZ86U9/jr9IWcnZ3lWjRxHDEe8uDBg9c+PhEllp7ARicnJ+zYsQP9+/dHyZIlAUC17iRhcGNQUJCsyZSVRHCjsi0lnmHi64iICKxbtw4///wzDh48qJo3jo2NhdlsZmAj0WvSarVwc3PD9OnTUaJECdmvEeOVoo/z008/YfHixTLsPb1SCmwU69sABjYS5QZiDvbevXto2bIlZsyYgd9//x3R0dFper2y/bJu3Tp88MEHqjoBot2i0WhkcGNAQABCQ0Oh0WiwZ88eVWCj6A+J9kFWBjaKeXGTyYSgoCCsWLEC/v7+AJiHQURE9Lbg7lwiohxOdM6KFCmCjz76CHny5IFWq1VN1j169AjHjh2Tr0nrJJfZbIazszOGDh0Ka2tr2dkVA9fBwcGYOXMmunXrliWBjUSUcUajEePGjcOJEyeg0+nkpLoYrDKbzWjQoIHc8FCzZk0UKFAAQPKLfZXPkkqVKqFbt24ICAjA8OHDUadOHXle5b2vHBBftmwZlixZAgDJBqCkRcGCBVGwYEFotVq5wcNgMCA8PFwO+HMgi+j1KSen/fz88PXXX2P8+PH4+++/030sjUaD4sWLo1GjRqpNWOL4169fx759+wBk/2YIAPK5Jf4PxKC8nZ1ddl4WERHRW8loNMLLywuLFi3CkSNHAEA1qS0+r8WCIPEz8bUYM1FudhTjJyJkUbmIccaMGdiyZQtiYmKg1WqTXIDI4EYiIiIiInpbpBTcqCxkxeBGotwlpeBGnU6H4OBgLFiwAAaDAf3790dAQADatGmDEiVKqDZzK8db9Ho9oqOj4efnh2HDhmHatGn466+/EBUVlaa5YTGeUqxYMdSuXVseV4zh/PXXX2l6bykFN9rY2KgKcTZu3Dit/2VElIMlFdyYcFM3wOBGotwiqaJX4p7OaUWvRPvGxcUFQHw7RHz/3r17iIyM5Do2olzuo48+Qo8ePWBtbS3Xx4pxEdHO+Pbbb+Hj44PHjx/L12XGeMirV6+wf/9+XLp0CQBURX6HDh2KunXrWvycREREZHmpBTeGhYVh5cqV+OGHH/D06VMAgJubG8aOHYv169eja9euKFiwoGrPHxAfAqDX6/H06VNs3boVnp6eWLBggQxvTKlQTb169VQhLABw4cIFPHr0CEDaQgWUr506dSq+//57NG/eXF4n+0dEuZ+4jytUqCDX6ALxz6KoqKhEAUdCcoGNYu6GhTeJyNJEcGPZsmVl28nHxwfu7u4AWGCcKCWbN2/G+PHj8d9//8lCvsqimkDcZ7cYLxXfE78j6gxcu3YN/v7+6Ny5M3799VdVKHxG7sGUAhvF3h9lYGNG6p6UKVMGBQsWBADVe2U7hShnqFatmtwXqFy/qtFo8PvvvyMgIABA9tUaMZvNCAwMRFBQkPyeeP6UKlUKVlZWWR6WQEREROnHNWxElByj0YgJEybg999/T7auo6urK0aPHg0vLy+88847yJMnD4Dkx0LE981mM4oXL45PPvkEvr6+mDRpkgxkFc+hhHPLQNw4jgixF+va0stsNiN//vyqZ4k4b1RUlKw3x2cJkeWkJ7DR0dERfn5+qFChAjp16oTOnTvnyuBGIP75FRERgYULF2LkyJGJ5o2VX3M8lijjrK2t4erqikmTJqmCGwF1oOJvv/0Gb29v3Lp1K13HV97bQ4cOVQU2KuuvMbCRKOcTc7CBgYHo0aMHoqKi8N9//2HFihU4duxYhoIb165di0aNGqUY3Lh9+3YcOnQIW7Zswfjx4wHEtQNEkLwysNHX1zfLAhtNJpNq/Oe///7DvXv3LHJOIiIiyh0Y2khElAuICbZOnTqhWbNmqpACMUgVEBCAAwcOAEj7JJf4vfLly6N06dIA4ga9RRErg8GAgIAABAUFMbCRKAczm81YvXo1fv31V1WQiXJiv1WrVpg/fz7atGmD/PnzqyaikhuASvgsMRqNsLGxwYABAzBt2jR8/vnnACAHycRgmHJgfOXKlVizZo08T0bCSpycnFQFQYG4Z5VWq0VwcHC6j0dEiSWc0J81axYA4M6dOxg/fjwuX76cruOJ+7V169YoXLiwamO2aDP4+vpi586dALJvgY64FvEsEc9MIG4SQLSPiIiIKGsYDAaMGjUK/v7++O+//wBAtSBQBC6Kz2yj0Qij0Si/FpsKxB/RL1JuChe/I9oB586dw6pVqzBlyhRERkZCp9PJPo4SgxuJiIiIiOhtkVJwo3JhM4MbiXKX5AqDm0wm6PV6BAcHY9myZfj+++9RqVIlTJ8+HcuXL0fz5s3h7OwMAIkCS8SYR2xsLLZu3YqJEyfi66+/xr1791SbMlJ6Jjg7O6NTp04AoNoItmvXLvz6669pem/JBTdGRUUBiNuwyUKcRG+W5IIbAXVRCgY3EuUOyRW9Un6dU4peAZAhaWIOCohf92Jtbc3iEES5nJ2dHTw9PdG6dWu5dl6r1SYKiN64cSMWLVqEs2fPAkCawuvTy8/PD76+vgDURcjr16+PJk2aWPRcRERElLlSC24MDQ3F8uXLcejQIVWoScOGDTFmzBj4+fnh448/lmvbRbtAOVYrjrl27VpMnDgRo0aNQmBgIMLDwwHEj42KNkuHDh3QqFEjuc5Or9cjJCQECxcuRExMTJoL3SjHZytXrizPxb4R0ZtB3MtOTk5yv7H4vthn/Pz580SvSymwUflagIU3iciyKleujIULF6Jo0aKJAhv5fCFK2vbt2zFz5kwA8cGMot+QcF9/wv07Yo2Hcu+OXq/HgwcPMG7cOKxatQpXrlwBkP41ZSkFNiYs3Pk6dU+qVq2KFi1aAIjra7FAOFHOIJ4Xffv2haurqwxuFD8zm80ICQnBwYMHceHChWy7To1Gg9DQUFWYvRi3qV27NmxsbFiLiYiIKJfgGjYiSshsNmPt2rUp1nVs3bo15s+fj1atWsHBwUH+HEi+nlrCe1b0IXr16oXJkydj+PDhANR1HcW/xXNp27ZtmDt3LgCoxnLSSqPRIF++fChbtqzq++KZktTcDxFlXEqBjeIZIMYlnZycsHXrVpQvXx4xMTGwtbVF37590aVLl1wZ3CjGk3U6HSIjI+W4MgMbiTKHtbU1GjZsmGRwo3L+JL3Bjcp2yJAhQ3D48OEkj8vARqKcL2FgY3BwsBxHuHr1KlauXJnh4MZ169bhgw8+SDG4cenSpTKEXgQ2iq+VgY01atTIssBGUY9StJ/atWsnQyWJiIjo7cDQRiKiXEBsogSA0aNH45133pETdqKAHgCsWbMmzYNeSuXKlUObNm0AQC4GFJ1S0dFlYCNRznXy5En89NNPiIiIkIuNlRP7HTt2xKJFi1CoUKFUJ/RTIkJdtVotKlasiHHjxmHChAnInz8/ACS5eRwAvL294efnJ68rPZsqxLPP3t5edd3i+Xfu3DlVyBoRpV9yE/pWVlbQ6XS4desWpk6divPnz6f5mOJZU7FiRRQvXlwVjKR8Pvj7++PPP/+05NtJF/GMefjwIYD48FkRAJUnT55suzYiIqK3jcFgQN++fXHo0CEAkGMToq0vPqOtra1RoEABtG3bFgMHDsTy5cuxceNGBAQEYOvWrZg+fTpGjBiBevXqoXjx4qowR+X4hXJCPjg4GN999x369OmD8PBwOZmeEIMbiYiIiIjodSScy8jJfYSkghtr1qypKv4LMLiRKLdJS2HwlStXwt/fHzExMahcuTKWLl2KmTNnwtPTEwBUGxDEfS7GXO7evYuffvoJPXv2hLe3N06ePAkgfo43uedekyZNZHCjch5p586dqgLlKUkY3Ni9e3cAwNKlS7lhk+gNlVxwo9jUzeBGotwlqaJXCdeZZHfRK9EPEs8X5Zo1s9mM8PBwvHz5kn0hojeAi4sLhg8fjsaNG8uiOOKZpCwe8f3332Pp0qXYsWMHgLjnREYL3SR8dohQSABy/lqj0SB//vxo2bIl3nnnnYy+PSIiIsomaQ1u3L9/v2pc1NbWFmXKlMH8+fPh5eWFnj17wsbGRq5HE2O1yjbL48ePsX//fgwYMADz5s3DlStX5Pm0Wi1iYmIAAB4eHihcuDBMJpOc/7l16xZOnz4NIO1zWQnHXTkOS/TmcXR0hJ2dHXQ6nZyTMRgMeP78OYKCglS/m1JgIwAGNhJRpqtSpQr27dvHwEaiNDhw4ADmzJkDAHKuVcx/FC1aFLVq1cKUKVOwePFi+Pv7w8fHBzNmzECXLl1QunRpGZ6o3J8j+jhhYWHYvn075s+fr1pTlpZ+RkqBjaL2iSUCG8W19O7dGzVq1AAA2V9iO4UoeynXgnXs2BHOzs6quRTxjDh58iQCAgIQEhKS5ddoMpkQExMj90KKaxLPoYoVKwJIPAdEREREORfXsBGR0pkzZ/Djjz+q7qmEdR0XLlwIFxeXREGM6aHcm1O6dGkMGjQICxYsQMGCBeVYiqiJply7tmHDBixZskReV3ruezEmki9fPtV1m81mmM1mnD9/HrGxsTl67yNRbpFaYKNyLtXR0RFbtmxBmTJlZH0lUWva09Mz1wc3CuLaGdhIlDmSC24U9QHSG9yYMLDxyJEj8hgJ68tmVmCjaJNERkZa5HhEbysxB3vv3j306NEDISEh8vNY9DleN7hx7dq1iYIbxWe7MiBehDgr20K2trbw8/PL0sBGESgt+kKffPIJ5s+fL/+/iIiI6O3A0EYiolxCDEQ5OTnhk08+Qf78+eUEmRiEvnfvHs6cOQMg7R078Xtt27ZVFXBI+HoGNhLlXIcOHcK1a9cAxE2ei4l2s9mMNm3ayAk6Swz4KCfogLhN2tOmTUOlSpWg0+mS3FgBAHPnzsXBgwdVx0jP+erUqSPfn/K9hIWFyfdMROmX0oS+2DBla2uLq1evwtvbW244SguTyQR7e3uMHz8eDg4OMhhaGUZ969Yt7Nq1C4GBgZZ/c2mg0+lw//59+QxVhkLVrl1bbrQiIiKizGUwGNC/f3+cOXNGtahYbLA0m82wt7dH5cqVMX/+fGzatAkLFizAiBEj0LRpU7z//vuoUaMGqlevji5dumDgwIFYtWoVduzYgZEjR6J58+byPGKxIQDVZL5er8elS5fQs2dPGbKY1MLkpIIb69WrB4DBjURERERElDzlWOzmzZvx559/5vg+QsL+T//+/VXBjQk3dTG4kSh3SK0weFhYGFauXIkffvgBT58+BQC4ublh7NixWL9+Pbp27YqCBQvKDRTKcRwxxvL06VNs3boVnp6eWLBggQxvTGmDRL169aDX61XPjgsXLuDRo0cA0jbXrXzt1KlT8f3338txIW7YJHozMbiR6M2SVNErcU+Lr7O76BUAREREAFC3gwDAysoqzcWGiSjnK1KkCCZMmIAGDRqoghtF8Suxfv7s2bNYsmQJvv76a0RGRmZoXb1ynCUoKAhLlixJVCgdgCz21aNHD/lvIiIiyl0yEtwogqFtbW1Ru3ZtTJ48GUuXLkXfvn2RJ08euSYOUI+DarVaBAYGIiAgAN26dcPixYtx4sQJAHHFuYC48IBSpUoBgNwP9OTJE/z000/yGEREAFC8eHEUKlRINdei1Wqh0+lUBbpSC2xk4U0iyir29vYA+HwhSsm1a9ewadMmREZGyv0zojZBkyZNMGvWLKxduxZdu3ZFy5Yt8e6778Ld3R2dO3fG9OnTsWPHDgwZMgT169cHEDevI/b7i/HUqKgonDlzBlOmTMEPP/wAAKmumUspsFGsVbFU3RNxnsKFC6Nly5bIkycPALZTiHIKce81bNgQ5cqVA4Aki4Hv3r0b69evT3PxYEsQzyqj0Yi///5bfg+Iex6WKVMGTZs2Vb0PIiIiyh24ho2IhEOHDuHq1asAsr6uY9u2bTFv3jzUqFFDNbecMLhx5cqV2LZtm+oY6VGrVi0Aies6iiAVzhcTvZ70BjZu3bpVBjaKcQ8xnprbgxuVzGazHOMFOB5LlBbpXTNuqeBG5T08dOjQRIGNyrrTmRnYqNVqcfbsWXh5eeH69esWOS7R20a0Fe7evYvu3burAhtFjcfMCm5U1pEUzzPRjhFtAltbW/j6+qJ69epZFtgoziPmyT/55BPMmzdPXh/7Q0RERG8PfuoTEeUyVlZWaNGihWpTJBA3oB4REYF169bhyZMnaS7yqVxMXKlSJXlM5WC1TqeTg/n+/v4MbCTKQb777jsEBAQAgAw3EX8aN26MKVOmAFCHh1iCcnFOy5YtMXLkSNSuXVsOPik3j2u1WhgMBvj6+uLSpUvpOo+45iJFigCAHIQTixju37+Px48fs/gMUQakNqEPQG6McnFxwbRp02SBhrQQA9Bly5ZF69atVQWkxLENBgMOHTqEQ4cOycISWUW8x6tXryI2NlbVpjKbzShatGi63i8RERFljNFoxMiRI3Hq1ClVYKMY1zCbzahVqxb+97//Yf369WjevDkqV64MAPLngvJrW1tbODk5YcCAAVi6dCnmz5+Phg0bIk+ePEmOaYjCVzdu3MAXX3yBu3fvqsKmlRIGl/Tp04fBjURERERElKyEgY0zZ85Er169cPHixRzfR0gpuDGpTV0MbiTKHdJaGDzh/E3Dhg0xZswY+Pn54eOPP0bp0qXl6wDIsRQxlwvEba6YOHEiRo0ahcDAQISHhwOAamMFAHTo0AGNGjWS4z16vR4hISFYuHAhYmJi0jzXrXzuiDEkbtgkerOlFNyo3OTJ4EairKOcW0lvoYfkil4pv86uolfivYSEhACIX7sr2h4lS5aEi4sL19USvUFKliyJadOmoWnTprCyslLNMyuLAYeEhGDv3r3o0aMHAgICEBgYqDqOWPcqKEOVgPjnyd69ezFr1iysXLkSAOR6XLEJvH379hg3bpw8P/s5REREuVNGghuVbRAAcHNzw6hRo7B9+3Z88sknKFeunGovkRgnVRa1WbVqFUaPHo3p06fj9u3biIiIQKFChfDll1/Kvpbof+3atQtHjhzJhv8dIsqJxLNHWVxLPLsMBgP+++8/+TUDG4kop+HzhSgx8dl+/Phx3LhxA0B8zQCz2YxWrVphwYIFcHV1hb29vfx9ZRFNo9EIBwcHDBo0CHPmzJHzOkajURawVP4dFBSEsWPHynoIYg9vQmINGpD5gY3Kc1pbW+Ozzz5DixYtsHLlSrZTiHIYFxcXTJ06Ffb29qri4iKwAADWrVuHVatWZVkQgXhWrVq1Crdu3ZLPIJ1OB61Wi6ZNmyJv3rw5en0wERHRm45r2LiGjeh1/PDDD9i6dSuAxHUdGzVqhEmTJgHInLqO4n52dXXFmDFj0KBBA9ja2qqCG5Xn3b59O06ePJmu84jXFi1aFABU8z9arRZPnjzBw4cPLfW2iN5aYmzR19dXVd9R3HOpBTYKb1pwI+eNidJHeW+IfkBapBTcqFwHn1xwY8LAxsOHD2dbYOPp06fRu3dvBAQEYPv27bh586ZFjk/0NtFoNIiIiMCECRNUgY1CZgQ3Nm7cWBXcKK5DnA+Ie2bY2NggICAANWrUsGgfK6XARrPZLPt6DGwkIiIifvITEeUyZrMZRYoUwaRJk2ShKbEwWa/X4+HDh5g7dy6io6PT3METG6C+/PJLFC5cWDV5JgpY2dnZYdWqVShfvjwDG4lyiKdPn+LgwYMA4ouzAHH3dOnSpeHh4YH8+fMDQKbcs8pNEW5ubvjyyy9Rp06dRMGN4neuXr2KAwcOIDQ0NN3nKlOmDLRaLfR6vXw2mc1mBAUF4dmzZ5xkI0qnlAIbDQaDbFeICf3NmzejfPnyiQpIpUaj0cDe3h4tWrRA/vz5VYPTorBEZGQkVq1ahYMHD8pCvZlNXAcA7Ny5E5GRkfIZajQa4ejoiJ49e8rfJSIiosxhMpmwePFi/PLLL6qQRuXXzZs3x+zZs9GjRw84OzurNisqAwAAdVGFhGMi7dq1w6RJkzBu3Di4uLjIhUSCsn3yzz//YOjQoXj+/LkMmk6IwY1ERERERJQWCcdiZ86cKX/Wu3dvXLhwIcf3ERjcSPRmykhhcACwtbVFmTJlMH/+fHh5eaFnz56wsbGRzzLlPJAYe3n8+DH279+PAQMGYN68ebhy5Yo8n1arRUxMDADAw8MDhQsXhslkkuMrt27dwunTpwEgzc/KhHPHnEsmevMlF9wIgMGNRJksqba+8rM34Zq1tPQNkit6JQrNZFfRK51Oh6ioKPzyyy8AoCqAA8Q9i2JiYtj/IXrDlChRAhMnTkT79u0TBUQrnwM6nQ7Xrl3DggULMGDAAOzZsweXLl0CgESFJ5Qbzh8/fow///wTgwYNgpeXF3766Sf5GqPRKM/Tpk0bzJ07F4Dli30RERFR1svo+KyyDWAymVCxYkVMmTIFy5YtQ8eOHVGwYEF5HNEfE1+bzWY8f/4cW7ZswahRozBz5kzcv38fNWvWxKeffirXyYk1eadOnZJtESJ6u4lCVCVKlAAQ/ywSYyDPnz8HENePYWAjERFRzicK7/v6+iIqKgo6nU7u32nUqJEMRlP+PgDVnIjoY+j1ehQrVgxjxoyBl5cXqlWrJsc2RQ0CMX5qNBoxZcoUbNq0SR4vIfG9LVu2qAIbRTFP0aawVGCjOKfJZIKDgwOmT5+Ojz76CADbKUQ5TYUKFTB9+nTY2dmpaiwp14SsWLECy5Yty7JaBRcvXsQff/wBIL5ugcFggMlkQrNmzWSAIxEREWU+rmHjGjYiSzGbzXj27BkOHToEIH5cQvysVKlS6N27NxwdHQFkTl1H5T68unXr4quvvsL7778Pa2tr1dyycPPmTRw4cABPnz5N97lKlCgBKysr+XwD4p4rwcHBePTo0eu/GSLC5s2bMXv2bABxc6ZirFNZ3zGlwEbhTQlu5LwxUfoo743Vq1ejRYsWcn16WojgxsmTJ6uCGwH1+rKEwY1iDggAhgwZku2BjZ9//rn8/nfffYfNmzcnCpkkorQRwe0Jxw1EP0Q5zvC6wY1r1qxRBTcq54+VNQY6d+6MSpUqyeuwhJQCG8XzhYGNREREJPDTn4goi1hqoFos/K1ZsyYGDBigmtATf1++fBmnTp0CkLYFAuKYjo6OcHV1BRC/WFpwdHRULbAmouz36NEjnDt3DkD8/S8Gs+vUqYPatWtn+jUoJ/hdXV0xYMAAVKtWLVGBYZ1Oh+joaOzevRu3b98GkPaimgBQtmxZODs7qxYwiAGw4OBgC74jojdfSoGN4h4TE9sJJ/QzOhHm6uqKoUOHAkCSBTJfvXqFhQsX4uDBg1myEFG8/127duGvv/6CTqeTm78AoHTp0ihevLjqd4mIiMjyDh06hMOHD8sNiQBUgY0dOnTAwoULUa5cOVhbW8ufp5fos5QrVw5dunTB5s2bUbFiRRlWLRYdKoMbb926hb59++LVq1eqdpISgxuJiIiIiCg1Ynxx48aNqrFYKysrxMTEwMPDI9cGN9aqVUtet7IwpwhuHDduHIMbiXK4jBQG12q1MBqNsLW1Re3atTF58mQsXboUffv2RZ48eeR4C6Cek9JqtQgMDERAQAC6deuGxYsX48SJEwAgx30qVqyIUqVKAYAsCvjkyRMZWsKNDkSUkuSCG5UFcgAGNxJZkmg/REVFITQ0FFu3bsXChQvRq1cv9OjRA3379sWwYcOwY8cO+bkvpLaeNqmiV8rN4Vld9Epc7507dxASEiLnlUQfSKfToUWLFrJdQ0RvlsKFC2P06NEYNmyY7Pco19GJzdparRYvX75EYGAgxo8fj4EDB2LIkCFYsGABjh8/jpMnT+LKlSs4c+YMNm7ciDlz5qBz584YOnQofvvtN4SFhQFQb1Q3m83o0qULvL29Aaifh0RERJS7ZTS4URDjpfb29ihfvjy8vLwwd+5cDBo0SBaXEX0WcXzRjrhx4wb27NmD7t27Y9u2bdDpdMiTJ488ttFoxM6dO3Hjxg3Z/yGit5fo/4g5HOWYCABZVPPUqVOqwEaDwaAKVwJYeJOIiCi7ifVpBw8eRHBwsOw7aDQa5M+fH5999hkKFCiQpmMpC/kDQMeOHfH111+jdevWsLa2VhX7FcXEAcDLywvr169P9rghISEyBA2I3w8kiphbMrBREO0aKyurRO+PiHKOjz76CD169FA9YxKuCfn222/h4+ODx48fy9dlxrjGq1evsH//flkgXaPRyLmdoUOHom7duhY/JxERESWNa9i4ho3IkjQaDYKCgnDmzBkAies61qhRA++9916WXIdQvXp1DB48GLVq1ZL7bID48Hij0YjvvvtO9k/S0wcqW7YsihYtmqiuo0ajSXKOmojSLzIyEoC6vmN6AxuF3B7caDQaOW9MlA4J68UuXLgQ4eHhGDVqVLqDG11dXRMFN4qx1YTBjdevX5fnHTJkCI4cOZLtgY1iHYpOp0NkZCQOHjyIdevW4caNGxY5H9HbIm/evPjf//4HBwcHGAyGRHv2lW2JzA5uFH9MJhOOHz+O1atX4/nz5xZZr5paYKPI3GBgIxEREQkaM3fMEBFlmu+++w7//PMPRowYkSmdrkuXLmH69On4+++/5USaeKy3a9cO8+fPB5C+geijR49i4MCBAKDqqJrNZrRp00YWfSCi7GM2mxEbG4vx48dj//79qok4s9kMe3t77Ny5E2XKlMmyiSjleQ4fPoyZM2ciKChIDpaJDd4GgwHVqlXD2rVr4eTklKZjG41GREZGolOnTggMDJTPJhE4O3DgQIwYMYKTbkRpkJbAxoxO6KflnHPnzsWGDRsAQLUISDwf8ubNi6FDh6JNmzYoWLBgotdb0qNHjzBr1iwcOXJEXoP4P1i6dCmaN29u8XMSERFRvKioKIwfPx4HDx4EEDcGIdr4ZrNZNZltyfaAmBgPCQnBrFmzcOzYMYSHh8trEOMgon3SqFEjLF++HLa2tslOqiuv78iRI9i0aRPOnj0rj6Nc+GxnZ4fGjRtj3LhxKFasGCfqiYiIiIjeAocPH8bQoUMBADY2NnJBsihOaW1tDV9fX9SqVSvH9xES9n/WrVuHixcvygXKov8j+neOjo6YM2cO3NzcEr2eiHKOS5cuoWfPnoiNjU1yfKRAgQL48ssv0aZNG9Ucb8Jn1q1bt7BmzRr8/fff+Pfff2Vga1JzQhqNBgUKFECrVq3Qo0cPFC1aFHnz5sWpU6fQv39/uSlCbPxYunQp3N3ds/Y/hohypRcvXmD9+vXYsGEDoqOjVZu8lF8PGTIEQ4YMyc5LJXojBAYGYunSpbh9+3aqG57d3d1Rr149dOrUCfb29mk6fnBwMDZs2IB169YBQJJr0fR6PUaPHo1OnTohX758r/2eElL2Y6ZPn44tW7YAgNyAKto569evR8OGDS1+fiLKOYxGI86cOYPRo0cjJCQEgPpZIJ4Vyn5Pwu1ayk3myj6T+D2tVivbKw4ODujcuTPGjBkjz8/ARiIiojdPRsdnlRK2E86fP48DBw7gl19+wYMHD2S7Q7lnQBzfzs4OhQsXxoMHD2Q7RPysdevWmD59epr7cET0ZhL9Fx8fH/j4+Mi9N6Io6ODBg1G/fn307dtXFsqLjY2FRqOR+5MAFt4kIiLKSUaNGoX9+/erxjcrVqyIrVu3Zqj9r/xs/+eff7Bv3z5s2rQJkZGRsh8i+iSi3zFy5EgMGDAg0euBuH7Sli1b8MMPP8BgMMg1d5kR2EhEuUtwcDAWLFggnw/K2gDKZ0z79u3x2WefoV69egAsX2h31apVWLRoUaLz1q9fH2PHjsU777xjsXMRERFR6riGjWvYiCzBbDbDYDDgm2++wa5duxLVdcyTJw927NiB8uXLZ8s8x+nTpzFlyhQEBgYmOe9bokQJbNy4ESVKlEjT8YxGI4xGI7p27Ypr167JeR/xd/fu3TF16lTO6RBZwObNmzF37ly5lzgmJua16juKe9VgMGDDhg0ICAjA/fv3AajrJok2Qq1atbBkyRIULlw4W8ZVjUYjlixZgtWrVwMAfHx85B5BPmOIkpZcvVhbW1tERUWhWLFiWLx4MWrUqJHmY8bExOCPP/7AzJkz8d9//6naE1qtVn7drFkzjBkzBgsWLFAFNiqfH9kR2CjGYK2trREdHQ2dToedO3eiatWqFjkv0dtA7Hnx9vbGxo0bVTkWCfe9iPEGsfelWrVqGDx4MD788EPY2Nik6XzKZ8MXX3yB48ePqwITlWMaxYsXR/fu3fHZZ5+hQIECGW4jpBTYKIKtGdhIRERECbEVQESUSTZu3Ihx48ZhzZo16NGjB37++WcEBQUBSNwRzagaNWrgk08+AQC50UkMYu3bt081sZ5Wbm5u8pjKAXetVos///wTJ0+etOh7IKL0E5sWHzx4AACqyXONRoPWrVujTJkyqiIwWXFN4rnw8ccfy8J2ykEyMdB+79497N+/HwDkgp+UaLVa2Nvby0mBhIVsnj17Jr9PRMlLKbDRYDDITU+WDGwE1Pds9+7d0apVKwDxbRfxtV6vR0REBJYuXYpt27bhn3/+SfR6SzGbzdi2bZsMbFROHHbu3BlNmjSx6PmIiIgosYCAABnYKNoaYmK7adOmmDFjBoC4doIl2/pikZCzszOmTJmCtm3bwtnZWZ5fnEu0Vc6ePYuVK1fKolhJUbZX3N3d0adPH7mpU9nm0Wg0iIyMxPHjxzFnzhw8fPhQLlomIiIiIqI3l0ajkX0EsREAAGJjY2FlZYWYmBh4eHjgwoULOb6PkLD/069fP9SsWRMajUbV/xGLlp8/f45x48bh6NGjiV5PRDlHjRo14O/vDysrq0TjI3q9HqGhoVi+fDn2798v52YBqMZKRAG/KVOmYNmyZejYsSMKFiwoj5Nwc5bZbMbz58+xZcsWjBo1CjNnzsT9+/dRs2ZNfPrpp3LjuFarhUajwalTp+RGCCKilDg4OKBv377w9PSEjY1NonUr4mtRYJyIMubWrVvYsGEDunfvjv3798tiV3q9Xq5hE2vcRDvgyJEjmD9/Pnr27Inz58/j1atXqZ7HxcUFnp6e6NevHwD1WjRlyPOCBQuwa9cuvHz50uLvVRlcf+DAAQDquS0AaNeuHYtdEb0FdDodXF1dsXXrVnz66acoXbq0aq29GPcQc9zKZ6Fer5fr8cVzUqvVyrEgMZYiCkrUq1cPX331FQMbiYiI3gIZHZ9VSthOqF27NkaOHAlfX1+0bdsW5cqVAwBZQFg5rxMZGYnAwEDExsbKto1YV3/t2jW5F5Jjs0RUpUoVAFDNCQPADz/8oApsFP0aBjYSERHlTOHh4bh9+7ZqnBIAPvjgA9jb28vP8vRQrgkrX748evfujdGjRyNPnjwyVE30Q8Q8z8KFC7Fhwwb5emVR0Bo1aqBHjx5o1aoV7OzsEB0dDScnJwY2EhFcXFwwfPhwNG7cWNYGEM8D5Vzy999/j6VLl2LHjh0A1EXH0yvhmteNGzeqAhvFeE7+/PnRsmVLBjYSERFlIa5h4xo2IkvSaDSwsrLCvXv3AKjrOgJx++iyuq4jEN8nadCggVxLJsZbRNCkTqdDSEgIfvjhB5hMpjTN7Wo0GlhbW6NmzZoAEs//sK4j0esT92KvXr3w9ddfw87ODjExMXBycnqt+o5i3aler4enpye6dOmCkiVLynOK+1asS71w4QK++uorBAUFQafTZXiMJKN0Oh2++uorfP7551i4cCEDG4lSkVK92OjoaOj1ejx8+BDDhw/HpUuX0nxca2trNGzYEJMmTUKJEiVkGwKIe3aIr3/++Wf06tVLFdio/Hl2BjaK/wMA8Pb2ZmAjUTqJ/fr169cHoA4q1Gg0sLe3h5OTEwDIsEYxtnL16lWsXLkSx44dk/dhasR4CQCsWbMGH3zwgdxrkzBo+sGDB9i6dSt27tyJ0NDQDNUkSSmwUbxXBjYSERFRUtgSICLKBJs2bcKcOXMAADY2Nrhw4QKmTp2KKVOm4OzZs6rB4YxuWhQdRw8PD7Rv3x5A3OCVCFwC4oIbxUKC9FAGo4lOqslkQlBQEP766y/5MyLKPqdPn8aFCxdU96IIXatduzYAZPmgj9gUAcSFng0aNEhel3LjeHh4OI4dO5bmaxSvFYN34hxWVlYAgPPnz+Ply5fcBE6UgtQCG4G4e8rSgY2COHepUqXg4eEBNzc3APEhRmIBkF6vx6tXr7Bu3TqsWLECp06dkq+35D2+adMmOdmnDGysUKECmjVrBmtra4udi4iIiBK7efMmAgICAMRvThST9FWrVsXgwYNhY2MDs9mcKRupdTodTCYTChQogJEjR6Jjx45wcXEBoB6nMZlMiImJwS+//CIDRpLD4EYiIiIiIkqOu7s7+vfvLzc/K8dd35Tgxlq1aqUY3DhhwgT88ssv8vVElPO8bmFwce/b29ujfPny8PLywty5czFo0CDV+I94xmk0GvksvHHjBvbs2YPu3btj27Zt0Ol0yJMnjzy20WjEzp07cePGDdVGDCKi5CQX3ChClJTBjcuXL8/mqyXKfY4fPw5vb28sXboUz549k0FkGo0GBoNBrmMV95yynwDEffYPGzYMAQEBePToUarnS6roVcLivpld9OrBgwc4fPgwwsLCAEDVnrGxsZEbVono7VCqVCmMGzcO33zzDT766CMAkGvtlUUnRD/IaDTK9b3K56SynyR+BsTtDRg5ciR69uwJgIGNREREbwNLBDcmZGtri+LFi2Pu3LmYM2cO+vfvDzs7OzlGK9bQKde1KedwNBoN7ty5gzVr1gDI+v1JRJRziGdD/vz5Aaj3CWq1Wty/f1/uaU64PwlgYCMREVFOExERgcePH8NoNMJkMsm9tY6OjgCQ4cK6ys94Z2dnfPrpp5g2bRry5s2rKvyrLN47d+5c+Pv7A4AcJ1UGN3p4eOD999+Hi4sL/Pz8GNhIRACAIkWKYMKECWjQoIEquFHMV4tnxNmzZ7FkyRJ8/fXXiIyMzNCzQxQPBoCgoCAsWbJE1pIS61CAuL5Ox44d0aNHD/lvIiIiylxcw8Y1bESZ4fz587JOrOgLiLmP9957DzqdLlvqOir38U2YMEFel3gOmUwmREZG4rfffpMBKKkRv1OoUCEA8SGVoq7jlStX8OzZsxy9x5Eop1PuE+7duzcGDx6MQoUKwd/f/7XrO+bG4MZx48ahdevW8ro4b0yUtJTqxSr3xWVmcOOzZ89kG0TZl8qOwMbY2Fi5JkW5DqVly5YAOBZLlBEffvghunfvDiC+H2A2m2FnZ4fy5csjb9688nuWDG5cu3YtGjVqpApuFO2W1w1uTCmwUdSxZGAjERERJYetASIiC0s4sBUbGwutVovg4GAcPXoUvXv3xpIlS3D27FkAyHBBuYThaJUqVQIAOagFAH///bc8T3omvXr16oW6devKjiUAOXi2evVqXLx4Md3XS0SW9fTpUwDqZ4hOp0PRokXh6uqabdelnCDs2bOnLEgjvicGo44fP44ffvghTccU769ChQoA4t6nlZWVHKQbPnw48uXLx4EuomRkd2BjQrVr10aPHj1UIUbiPOLrqKgo/Pjjj5gzZw527doFAKpC3+mh/P2YmBisWbNGtSFCPJ/0ej3atm2LJk2avNb7IyIiouSJz93bt2/jwYMHAOIn7XU6HfR6PT788EPZ9s/MBXai7+Lg4ICBAweiVatWsqCMaD+I9setW7ewd+9e1QKDpGQkuHHBggV48OAB+zNERERERG8o0Udwc3ODh4dHksGNBoPhjQ1uBOLGXkNCQjBv3jz8+++/2XXJRJQGlioMLsZQXF1dMXz4cPj5+aFnz54oXry4anxFbKTQaDTQ6/UIDg7G0qVLcfLkSURFRclnjV6vR1RUFFavXo3w8HBuyiSiNEkuuBFQbwpdtmwZ1q1bl52XSpSr/PDDD5g+fTqOHz8uC1uKAldA/NyO+IwXn/mibSHaFU+fPsXKlSuxefNm3L9/P9XzJlf0SoScZWbRK7PZjEOHDmHv3r1yo6Z4j0ajEdWrV0fHjh0tdj4iyh0cHBzg6uqKlStXYs6cOejatSsAqDZ1A5CFsUSRPGUfSBTDMRqNcHR0RL169bBixQqMHTsWtWvXBgDVsYiIiOjNZungRtEX0+l0qF69OkaPHo0VK1Zg4MCBKFCggNxHINokCVlbWwOI2/sj1voR0dvLZDLB3t4+Uf9EOactCgQmLJTHwEYiIqKcRRnADMTvm7G1tQVgueK2dnZ2aNeuHebOnasKbhQBKmK+dsaMGdi+fbvqWsQ1VK9eHUOHDsXu3btRvnx5BjYSkVSyZElMmzYNTZs2hZWVler5oCwuHhISgr1796JHjx4ICAhAYGCg6jhifERQhjAC8XWW9u7di1mzZmHlypUAoCr0azKZ0L59e4wbN06en30fIiKizMU1bFzDRpRZRF1HZY1XnU4HFxcXGYyaHcFAyn18n3zyCdq1awcgfu+OCDy5cOECtm3blq5jlylTBkB8XceYmBgAwLhx4+Dk5MQ6KESvSblPeMCAAdi/fz/Kli1rkbHO3BbcqMSxE6KU7dy5M8l6sUB8zfnMCG4UzwXl2KcysPHDDz/M0sBGMacl6uQCXIdC9LpEu6R58+YoXrx4ova+u7u7DFkGLB/cuG7dOnzwwQcWDW5MKbBRPF8Y2EhEREQpYYuAiMiCNm7cmGhgSww2iQILALBy5UpMmTIF3t7eiI6Olp2/9BbeFB276tWro0GDBgCgKvIQGxuLJUuW4M6dO2kOhxSDZK1bt4atra1cFCAWJprNZvzxxx+q3yWirKMMZQWgmhAThVtcXFyy7fqA+GeTi4sLmjZtqtqUKQalNBoNrly5AiD1RQjiPVasWBFWVlbQaDRy0NzHxwfu7u6Z9VaIcr30BjZu2bIlUwMbExYof//99wEkHdxoMBhw/fp1TJw4EV5eXrh+/bocXE9rG0T8PgBcvnwZCxYsgLe3NwDIgXVxXZ9++ikGDRoEIP1tMiIiIkobrVaLiIgIrF+/Xm6CACA3Xbu4uKB79+6ws7PLsusxmUzIly8fhgwZAjc3N+h0OtVGb3GNP/30E7Zs2SKvNznpCW6Mjo7GgQMHMGvWLERFRWXa+yQiIiIiouyj7CM0adIEffr0QaNGjQCox0VjY2PlxsbevXvj/Pnzb0Rwo+jvOTk5oWnTpsiTJ082XzURpcYShcETzjHVrl0bI0eOhK+vL9q2bYty5coBiC8EqHxuREZGIjAwELGxsfIZI+aFrl27hqCgIACcyyGitEkquFEUAhXPGHt7ewQFBSE8PDybr5Yo59uxYwcmTpyI+/fvy89u8Zks1mAo17KJAg+ibyC+L/pCYWFh2LFjB/bu3ZumwJGkil6JNbmirWLJolfiOXHw4EEsWLBAhg4oi3cVK1YM48aNg16v53paoreQshDWtGnTsG3bNowZMwY1a9aEg4OD/B2xl0AUCBSbvwGgUqVKcHd3x8KFC7FgwQI0bdpU1adiIQkiIqK3i6WDG8VaNdH2cHV1xdChQxEQEIBPP/0UlStXVrVXxO/r9XpZUOebb75B8eLFM+PtElEuotVqUbJkSRQuXFiO+wDxRc8FFsojIiLK+UTNEL1er/osDw4OBmD5+iHu7u7w9vaGvb19osK/Yp5n2rRpOHDgAAB13QQAqFatGgoVKqTa30NEBAAlSpTAxIkT0b59e7kmRMxbKwv86nQ6XLt2DQsWLMCAAQOwZ88eWcQ8YVFxZcDT48eP8eeff2LQoEHw8vLCTz/9JF+jnPNp06YN5s6dC0C9d5CIiIgyB9ewcQ0bUWYQ987Vq1cBQD4zlHUdixYtCiD71nOJ8xYoUAAfffQR8ufPL69Tub9G1HVMq0qVKiFPnjzJ1nXMjpBKojeNsr2SL18+i451Jgxu7Ny5c64JbiSi5F2/fh1AXMCispaqkFnBjcrx0YT9pw8//BCrV68GkDWBjaJdotfruQ6FyILEHEadOnVQpUoVOXes1Wrx9OlT/Pbbb5g6dSp69+6daHzFUsGNa9eutVhwY2qBjcpcDQY2EhERUXI0Zo6CEhFZxI8//oivvvoKAFKcvNZqtbJTaDab0aBBA7Rp0wbNmjWDs7Nzugd+xO+Hhoaie/fuuHPnDnQ6newYGgwGtGvXDpMmTUL+/PnTfNy7d++iW7duCA0NlccTE3OlS5fGjh074ODgwIEqomwydOhQHD58WD5LxCBT8+bNsWTJEtWG6exkNBrRt29fnD59OtGzpECBAtixY4ec3EvNtWvX4OHhIRcjcdCcKGUpBTaKzQBiUsrJySnTAxuTuq6TJ0/Cz88Pv/zyS6JrExshxOD6O++8g1q1auHLL7+Eg4ODHAxXLkhQFvYV7yEmJgZr1qzB77//jvPnz8vziNeIDREizDGz3z8REdHb7s6dO+jXrx8eP34sJ+PFop2vv/4aHh4eWT6hLc737NkzDBkyBOfOnVON7Yg2SeXKlTF79my88847qR5T2eY5cuQINm3ahLNnz8rjabVauSBo+fLlaNasWSa9OyIiIiIiygmUfYSjR4/C19cXJ06cAAC5uUmj0cjNA1ZWVvD19UXt2rVz/KLfhP2fdevW4eLFi3IM1tHREZ999hm6d++OYsWKZeelElE6XLp0CT179kRsbCy0Wq3c0CDGSQoUKIAvv/wSbdq0gZOTU6rHE88Ko9GIq1ev4scff4S/vz9iY2PlpgiDwaA6V1LH6NChA+bMmWPR90pEb74XL15g/fr12LBhA6Kjo+U8uaOjI7p06YIuXbowfIAoFf7+/pgxYwYAJNk2EAoXLgxbW1vo9Xo8evQIBoMBMTExco2bWD8mjmM0GuHk5IQRI0agQ4cOskBwSoKDg7FhwwasW7cOgHrjpvhar9dj9OjR6NSpE/Lly5fu9yv6YcePH8eAAQNksSsxd2Q2m2Fvbw8PDw/07dsX9vb26T4HEb3Zbt26hdu3b+PJkyf4+++/5XPFYDAgX758eOedd+Dk5ARXV1c+Q4iIiCgRS4/PKol2SWRkJJ48eQI/Pz8cPnwYQUFBAAA7OztERkYCSFyMk3t2iN5u4eHh6NSpEwIDA+UYj3JOh4GNREREuUNUVBQ6dOiAu3fvAoCcw6lXrx78/Pwy7bxHjx7FyJEjERERoZpzEfNFJUuWxNSpU/HBBx9k2jUQ0ZspNDQUu3btwvLly/Hq1ask6z2JZ53owzg6OqJu3booU6YMGjRoAL1eDwcHB0RERODq1at4/Pgx9u/fD4PBgOfPn6sCEAwGgzxely5dMH36dACWLVRORERESeMaNq5hI8osYi5j9OjR+OGHH2QfQPzdqFEjrFq1SobA5gTDhg3DTz/9JJ+Hoq6jra0ttm/fjsqVK6fpOHfu3EHPnj1lcC3neIhyJ+Ua1Q0bNiAgIAD3798HoG43iWdFrVq1sHTpUhQqVIg1F4lyoPDwcPTq1QvXr19PMrBRUNZqLVasGBYvXowaNWqk+TwxMTH4448/MHPmTPz333/Jjq06OjrC19cX5cuXt2jNg9QCG7kOhShziHvv9u3b6NevH4KCgmQgvNFoxKRJk9CrVy9MmTIFu3btks8FUetZzLdUq1YNgwcPxocffggbG5s0nVs5l9K/f3/8/vvvqmBF0W4xm80oXrw4unfvjs8++wwFChRIdO8zsJGIiIgshSs9iIgs5OXLl8iXLx+io6MRGxsrO3LKv5UTW2Ii7vTp07hx4wZ27NiByZMno0KFCsiTJw+AtHXiRIe2QIECmDx5MkaNGiUX/YlO7YULF3Dt2jW8//77aRoUN5vNKFOmDAYPHox58+apQib1ej0CAwOxevVqjBgxggPsRNnk1atXSX6/SJEiciAru4nnzeDBg3H9+nWEhYXJyToxIP/8+fM0hzZWqFABjo6OePnyJTd/E6UiPYGNjo6OWRbYCEDVPhJFp/Lnz489e/bIgW/RhjEYDLJg+ZUrV3DlyhX89ttvcHV1xccff4wqVaqgcOHCidpLYWFhuHfvHo4ePYpff/0V169flz9LuACxffv2mDt3LgAGNhIREWWF48eP4+HDhwDUgctAXJsfQJZPaIsxGicnJyxcuBBdu3ZFUFCQbDeI67t79y6uX7+Od955J9UxG2WbR/RdAODs2bMwm82qBUEMbCQiIiIievMp+whubm7y+ydOnJDjkkajEQaDQY7denh45IrgxqT6P+vXr8e5c+fg4OCAzp07o1u3bgxsJMplatSoAX9//0SFwY1GI/R6PUJDQ7F8+XIASFNhcDFPrNPpUL16dVSvXh2NGjXCn3/+CX9/f4SGhgKAXFsjCmEI1tbWiI6OxvHjx/HgwQOGqxFRujg4OKBv374A4ubPIyMj4eLigo4dO6Jr165spxClwtfXF7NnzwagXnciikvZ2dmhcePG+Oijj9CwYUM4OjrCaDTi0aNHePLkCdauXYsbN27g6dOnsv+j3AD57Nkz+Pj4oE6dOmnaxO3i4gJPT08AwLp161QB0KKtYjAYsGDBAgBId9Ercf5Tp07JYldWVlaqwl5arRa1atVCmzZtWOyKiFTEc65ixYqoWLFiml+Xk8d+iIiIKOtZenxWSbQ57OzsULp0aUyaNAktWrTAuXPnsGrVKrlXiXt2iCghGxsb1KlTBw8ePIDBYFD1YfR6PQvlERER5QLiszlv3rwA4ot1a7Va3L9/H9evX0eVKlUyZbzSzc0Nc+fOxdixY1XBjWJ9yMOHD7FmzRo4OTmhWrVqFj03Eb3ZChQogM8//xzVqlXD6NGjERISAiB+36JyHZqYSw4NDcWRI0cAAGvXrgUAVSFgZaCTeB4qg5jy5cuHzp07Y8yYMQAgx2yIiIgo83ANG9ewEWUmMZcRExMDQB2GBABFixbNMW1+8Qzr378/Lly4gCdPnqjqOmo0GhnAmBZly5ZFwYIF5XOQc8REuZPYi6fX6+Hp6Qmz2YwdO3bg/v37iQKQtFotLly4gGHDhjG4kSgHMplMsLGxQZMmTXD79m0AcfVYxedywjr3ov/x8OFDDB8+PF3BjdbW1mjYsCEmTZqUKLhRtIfMZjNCQkKwaNEiDBkyBFWqVLHY+2RgI1H2EOMdhQsXhqurK7777jvVvv6ff/4ZXbp0wbRp02AwGPD999+rngviHrx69SpWrlwJAGkObhTjJXq9HmvXrkW/fv1w4sQJOR+jvMcfPHiArVu3AkCi4EYGNhIREZElsXVARGQh7dq1Q/Xq1RETEwOdTqca0CpTpgxKliwJk8kkB7ZEJ0+j0SAsLAyXL1+Gp6cnFi5ciN9//x1AfCc24eRdQmKAu1KlSmjWrJlqYk+j0eD+/fvYuHGj/N3Ujieu/Z133oGjo6PqWkRQweXLlxEREZGm6yMiyxELZ8LCwgDE36/iPoyOjlb9OzuJZ1OpUqXg4uICIO5ZIib4X758iR9//DHNx4uOjoa9vT3mz5/PiX2iFKQ3sHHr1q0WCWwUbYS0EO0hAKhevTomTJiAYcOGAYh7zomJffG8EF/r9Xo8ePAAO3fuxMCBA9GlSxf07t0bw4cPx8yZMzFq1CgMGDAAPXv2RLdu3bBy5Upcv35dts3EIL04fq9evWRgowiIJCIiosz16NEjAJAT3kBc26B+/fpo2LBhtl2XVquF0WhEkSJFMHnyZDg4OMgFS2KTZXR0NFavXo2QkJA0Tbwr2zzu7u7o06cPGjZsKBcn+Pj4qBYEERERERFR7pKwHZ/aGKmyj+Dm5gYPDw80atRIvlaMT8bGxqqCG8+fP59kgFlOklT/58MPP0TXrl0ZhESUi4nC4FZWVnK9C4BEhcH379+fpk3dYjxFPM9cXV0xdOhQBAQE4NNPP0XlypXlJggxlwPEjSOJefBvvvmGgY1ElCEiuLFnz54oUqQI2rZti+7du7OdQpSKTZs2JSp2Jb42GAxwcHDAlClTMHHiRHTs2BGFCxeGtbU1bGxsUK5cObz//vvw8fHB6NGjVf0fZbtAr9cjKCgI33zzDSIiItI0ByOKXvXr1w8AVJstExa92r17N16+fJmm96vc+C0KViiLXYn1t0WKFMH//vc/lC9fPn3/oUT0xktq/VnCMaSk5oa58ZuIiIgSsvT4bFJEH69evXoYOHAg/P390adPH6xevZp7dogoESsrKwwePBi1a9eWRa60Wi0DG4mIiHIRjUYDGxsbuLu7yzonQNz8yOPHj3H06FEAmTde6e7ujunTpyNPnjyq/bxiP8+lS5dw4MABPH/+PFPOT0RvLp1OB1dXV2zduhWffvopSpcurdq3qCxgLv4t6g6IUBOtVivrEWi1WrluV6xjE3PG9erVw1dffaUKbGR9AiIioszFNWxcw0aU2cRzJTQ0FABUYyYAEBUVBSBn1AQR/Y8SJUqgcOHCANR1HSMjI3Hw4EFZ6zY10dHRKFCgAObNm8c5YqLXIMYQgOx7ViiDG/v27YsuXbqgZMmS8vqUNWuVwY1PnjyBTqdLVw1JIso8Wq0WVlZWaNu2baL5FOVntKiHllRw46VLl9J8PhHcOHnyZJQoUUKeT5xHnPvIkSNYvHgxbt269drvkYGNRDlDvnz50L59ewBxYxpiLOTkyZP47rvvoNFoMGvWLHTs2FH1HFJmaojgxmPHjsk6AKkR4yUAsG7dOnzwwQeq+RvRbtFoNDK4cefOnQgNDYVGo0FMTAwDG4mIiMii2EIgIrIAk8kEGxsbTJo0CUWLFpVF/YH4gaxFixbB3d1dNVGv7Kjp9XpERERg27ZtGDFiBJYtW4agoCDZUUzLILaLiwvatWuHPHnyyE6iWBD422+/Ye3atQCQ5kGm9957D82bNwcQP6EoXnv69Gns3r07Xccjotcnnhs2NjZJ/ly5eDinKFasGDp27AgAiSbynzx5kubj2NvbY8OGDWjXrp08Vk56n0Q5QUqBjWJgOjMCG5UTej/++KMMY0qJ8v7Nly8f/ve//2HOnDmoVq0abG1tVdcknh1iMF0EVD99+hRnz57FoUOHsHnzZuzfvx/Hjh3D3bt35fsWA+86nU7+HxQvXhyDBg3CpEmTAMQXryAiIqLMIxb4njt3Tv4biA/2EEHv2blQWbQ9atasiaZNm8rFyaI9odfrERYWhitXrgBAmgJTEgaXdOnSBbVr18aSJUu4aJmIiIiIKBdTtuP9/f1x+fLlNG1MSi24UcwDGQyGXB3c2KJFC3z99dfo06cPw9WIcrnMKAyuXCtjMplQqlQpTJ48GUuXLkWvXr1QqFAheQ5bW1u5wcrHx0e1wYqIKL0cHBwwcOBAzJo1C3369GFgI1EqEq47MRqNMJvNcg1KgQIFsHz5clnoCoj/jFauk7W1tUXbtm0xZswYOTci+j9iLYhWq8XNmzdx4MAB+brUpFT0SnxtMBgwf/78NBW9Sm3jt1h3YmVlhWnTpqFOnTrp/S8lordUwrlgzg0TERFRWmV2cKNy/4DZbEbVqlUxatQofPjhh/J7bLsQkVKpUqUwa9Ys1K1bVxa7YqE8IiKi3KdEiRKyUCUQ3zfYtm0bLly4kKnnbtasGUaPHg07Ozu5L1nUY4mMjMSuXbvkviMWCSei9CpVqhTGjRuHb775Bh999BEAyOedso6ACFIwGo0wGAxyjlnMiSvDGsXPAMDDwwMjR45Ez549ATCwkYiIKCtwDRvXsBFlJWtr6yS/L/oEOWnuw8nJCV26dAEQX5tNPP+Cg4NlnZTU2NjYYPny5fjkk0/ksXLS+yTKiZJqI4j6RID6WZHV+9+UwY2enp7o3LlzmoIbg4KCGNxIlIOYzWZUqFABX375JbRaraoevLOzM6pWrQogfg2ZJYIbXV1dMWnSpETBjaKGKwD89ttv8Pb2xu3btzP83hjYSJSzuLq6olevXgDixzSAuHnjf/75BxqNBjNmzMCnn36aaL2ppYIb165di8aNG8ta02KsJmFw444dOxAcHAxra2sYjUYGNhIREZHFsJVARGQBojNXpEgRtG7dGlZWVqqf3b59Gz/++CN8fHwwZcoUuLm5AVBPwolJe6PRiJcvX2L58uUYM2YMVq9ejZiYmDQv1GvQoAGGDh0qj68cVDp+/Dj++eefNB1HTAZ06NABxYsXl8dRLkY8cOAA7t+/n6bjEZFliEEeUagy4SKh0NBQAGlb9JOVSpQoAUA9sAYAN27cQExMjHwepiZ//vzyaw6aE6mlFNioDDvMjMBG0Tb44osv8NVXX2Hv3r0ICgpK8zGU7Y4ZM2bgf//7H5ycnORGB7HpSrxP8X4ErVYrJ/eUf8QkozKwsXnz5hg1apRsL3FDBBERUdbQarWwtrbGq1evAMR//ou+jNgUkBP6MgULFkSrVq1gMplUoSlGoxGhoaE4ePAgAKR5El4ZXNKyZUssWbIELVq0AMAFQUREREREuZGyHb9582bMmDED3bt3x7Vr1ywS3CgWA8fGxua44EZx7uSuQfneKlSoABcXlyy7NiLKPJlZGFyMr9jZ2aF06dKYNGkSFixYgBEjRiBPnjyIjIwEEBfYKApkcDyFiF5Hvnz54OrqiqJFi2b3pRDlaAnXnYj1G6KP4ujoiI0bN6JevXqq1yX8jBaf9TqdDlWqVMGgQYNU/R/lutSwsDCcPn1a9brUJFf0Svl1WopepbTxW6y3EetOFi9ejMaNGwNgkDQREREREWW+zA5uFMRxlYVIOQ5LREkpVaoUZsyYgQYNGsixER8fHxbKIyIiykVatGiB2rVry89ysRYsJCQEJ06ckPNCmcHW1hYtW7ZEv379YG1tDYPBoCok/vz5c8yaNQvBwcFyHR0RUXo4ODjA1dUVK1euxJw5c9C1a1cA8UGNoqaAsi6B8mtR5FzUf3J0dES9evWwYsUKjB07FrVr1wYA1bGIiIgoc3ANG9ewEWUV0bYX68sT1nWMiIgAkDNqoSiJ6xXzyOJ59s8//yA8PDzNdR3t7e3l15zjIUqdVqtFdHQ0goKC8MMPP2Dz5s2YOnUqvvnmG6xatQpbt27FnTt38OzZM9U9lVXPEOV4a9++fdGlS5dUgxu/+uorBjcS5SDiPq1evbr8vBdzJi9fvkT79u0xcOBAAOrg+NcNbmzYsGGi4EZAXav1t99+w4IFCzIU3Jhan4eBjUTZo379+rCzs1PVMbl//77MsNBoNJg+fboMblSGxlsquHHNmjWq4EYRGpswuPHgwYN49uwZ+vXrpwpsFHM2DGwkIiKijGBLgYjIQjQaDfLkyYMWLVogb968MJlMclBJo9Hg+++/x/Hjx9G5c2fMnTsXY8eOhbOzs+zcKRcNiwn3M2fOYPHixejevTtOnjyJ4ODgFK9BvL5du3ay+L9y0Pv06dP4/fff0/R+RGeyQoUKKFmypOx8KgOQbty4ITvQnLgnyhri/subNy+AuHtVDCYBwN9//41nz57luAGh+vXro1ixYgAgB7EA4MWLFwDin3tElDGpBTaKrzMzsHHo0KE4fvw4AGDdunXYs2dPmoMbRQA2ALzzzjvo378//P390aJFC1SsWBFA/GYIcT5l8W/lc0X5f6FsX9na2mLUqFEYNWoUWrduLY/JDRFERERZw2w24/nz5wgODlYt+BWf4QUKFACAHPPZ7Obmhl69egGI74dptVpotVrcuHEDERER6RoLUbZdChUqpPo+ERERERHlHgnHYmfOnAkgbqy0Z8+eFg1uBJCjghvFguSzZ88iICAA4eHhSf4e+zlEb6asKAwunp316tXDwIED4e/vjz59+mD16tUMbCQii8ppa2qIcpqkil0BUBW72rx5M6pUqZLuvknVqlXRqVMnuY4MiC/4AABHjhzBuXPn0nVMUfSqb9++AOLXsmg0mkRFr3bt2qUqeiXWm6RW7Eq58btZs2bytWyXEBERERFRVsiq4EYiorQqVaoUJk+ejDp16sDHx4fzOERERLmI+LyuVq0aAKjCy2JiYrBp0yZcvXpVVVPE0pycnNC6dWu0adNG7oEW5xPFhL29vREZGcm2BRFliFif+8knn2DatGnYtm0bxowZg5o1a8LBwUH+jqhdYDQa5b/FHHilSpXg7u6OhQsXYsGCBWjatKlq3yOfT0RERJmLa9i4ho0oK4nniLKuIxDft7hy5QoePHiQ49ag16pVC+XKlVMFsAFAaGioDGwjIsu6desWDhw4gD59+qBHjx4YPXo0Zs6cie3bt2Pbtm1YtGgRpk2bhu7du6N79+7YsmWLDE3Lyn3ByuBGT09PdO7cmcGNRLlQnTp10Lx5cwCQIYpRUVFYu3YtunTpgi+//FL+zJLBjZMnT1YFN4p6168T3Jhcn8dgMCTZ52FgI1HWad68ORo3bizbKTqdDi9fvsTy5cvx6tUrAImDGwFkenCjaM+I4z98+BAbN25E165dcerUKZnpIZ4vDGwkIiKijGJrgYjIwmrUqIFhw4YBgBz8MZvNePLkCQ4ePAggLojA09MTS5YsQZ8+fZA/f37ZQVROoIuBoytXrmDMmDGYNWsWTp48qTqfcuBdDCQVKFAAH330EVxcXGTHUEycLVy4MM0LAkwmE/LkyYOhQ4ciX7588hrF8aKjo7F48WKEhIRwEIsoi4h7uk6dOgDii/qKYNWIiAgZkpYdBXuTIwa5lKEmYiOF8tlCROmXUmCjwWCQQYeZHdh4+PBh6HQ6WFlZ4cWLF1i/fj2+++47PHr0KE3HS9iWKFu2LObMmYMlS5bg888/R6VKlaDVauV7Eu9dr9erNoYBkJsjDAYDSpQogc8//xy+vr744osvULp0aflaDqATERFlHbPZjJiYGERFRSUZdmhlZZUNV5U0cX116tSBjY2NbGOICfqrV6/in3/+SfdYCMdOiIiIiIhyP9Gu37hxo2os1srKCq9evbJ4cKPYoJ3dwY1i/vrMmTPo3bs3vvnmGxw4cAARERFZdg1ElP0yuzC4ct7KbDajatWqGDVqFD788EP5PY6vEBERZa6E605Ev0ZZ7Grr1q0oX748jEZjutdd6HQ6NG3aFFWrVgUAuU5WtC1iY2Px+PHjdF+3i4sL+vbti379+gGAanO4aKsYDAYsWLAgUdErbvwmIiIiIqLcgMGNRJTTlClTBmvXrmVgIxERUS6j0WhgZWWFzz//HI6OjjAYDKoC3i9evMDYsWNlce6k9v9YQrly5dCpUydUq1ZN1YYQc1MXLlzA5cuXAeSseglElDsk7JvUqlULnp6e2L59OzZt2oRFixZh7NixaNeuHdq0aYN27dqhVatW6NKlC6ZOnYply5bBz88PPj4+cHV1ReHChbPpnRAREb2duIaNa9iIspq4l2rXrg1AHdqo0+kQHR0tnws5aZxCo9HI8RvxRwTG5qTrJHoThIeHY+PGjRgyZAgmTJiACxcu4PHjx/I+FH+0Wq0MOgoMDMT06dMxduxYLF++HACytOahcty3b9++6NKlC4MbiXIR8Vnu4eGBatWqye/p9XoEBwdj69atGDx4MHr37g3AssGNrq6uiYIbxfkzEtyYUmAjAPZ5iLKR+Lz38PBAsWLFZI1FvV6Pu3fvYt++fQCA2NjYbAlu1Ol0quDGBw8e4P79+7KdI/psDGwkIiKi18EWAxGRBYlFx82aNYObmxsA9aDS7t27ZWcTAN577z0MGzYMvr6+qFevHhwdHeVrlJsndTodgoODcfDgQXh6emL58uVy0CthQU5xDR06dECDBg3ksUSHNzY2Fjt37kzTBkzRsSxRogTeffddAOowJBsbGwQGBuLs2bOZtuCaiNTEs0Es7BWLa8R9HhYWhu+++w5A1k7MpaZAgQIoWrQogPj3YDAYEBUVhejoaE7wE2VQaoGNYgNVZgY2DhkyRAY2ip+J4MZFixbh/Pnz6T6+VquF2WyGnZ0dypUrh3HjxmH16tVYv349evfujXr16snJf3FO8X/h4OCAEiVKoEuXLpg0aRK2bt2Kr776CjVq1FCdg5NwREREWUur1cLe3h558+aVn/Xi+wBgZ2cHADlifEG0E9zd3VGuXDm5sEAs+AEgFwzlhOslIiIiIqKs9eOPP2LOnDkA4jYfGAwGOS5q6eBG0WfKzuBG5WaIPn36yO97eXlh3759DG4kestkVWFwcVxra+tE3yMiIqLMkdS6EzE3ItadbNmy5bXWnZhMJtja2mLgwIHImzev3CAJxM0ZGY1GnDt3DkD652BcXFzg6emZqOiVctO5suhVaGgoNBpNoo3fYrM3N34TEREREVFOw+BGIspp8uTJI7/meAkREVHuYTKZULx4cfTo0QPW1tZyjZvYN3znzh14e3vLuRRL75sRx3vvvffQs2dPeU3Kuac7d+7ghx9+AJCz6iUQUe4lnnUVK1ZEq1at0KdPH8yfPx/e3t6YP38+Fi1ahOnTp6Nr1674+OOPYW9vDyBnBbIQERG9DbiGjWvYiLKDuJ9EjUQRSCLGRSIiIrBz504AOWecwmw2I2/evLIWpQigNRgMiI6ORkxMDGuhEFmAyWTC/v37MXHiRMyZMweBgYGIioqSAUJA3JiD+COCjkTtZyBurHPZsmUYO3Ys7t69m6X3pjK40dPTk8GNRLmIaHM4OTmp6sGL+/LkyZOIjo7GxIkT0atXLwDq+rCZFdyo7IeJ4MZbt24le6zkAhtjY2Nl4DT7PETZR9zP5cqVQ5kyZeT3RL/i999/BwB532Z1cCMAVb1KQYQ0ip8xsJGIiIheB1sNREQWpAxTa9y4sfyeGAgCgNWrV+PmzZvyNXq9HpUrV8by5csxatQo+Tqj0SgHr8WAtjjGsmXLMG3aNCxatAhA/GCa6KCKAfypU6eiatWqspMpBvD/+OMP/Pvvv/I8qSlcuDDatm0LID4gTq/XIzo6GpGRkXB2duZgFlEWq1q1KipWrCgnysXzQqPR4MKFC7h37x6AnBMgIgbPlP8G4oJZlIU2iSjt0hLYKCaiMiuwcejQoThy5IhqIk1ZKLxBgwZo3bp1hs4j3ps4VqFChfD+++9jwoQJ8PX1xbZt27Bz507s2LEDvr6+WLVqFQICArBv3z5s2bIF06dPR69evVCwYEF5vURERJQziHEOZR8hMDAQQM7pwxiNRlhbW8tFS2LsRYyjXLt2DUDOuV4iIiIiIso6JpMJderUAQDExMTI8dHMDG40m83ZEtyY3GYIvV6PyMhIeHt7Y/fu3QgPD8+0ayCinIeFwYmIiN48ya07URa72rp1K8qWLfta605E/8bJyQk2NjaqTZmi7/T48WMAGSv0n1TRK71eL/tUyqJXP//8M3799VdVX0ds8OTGbyIiIiIiyqk4PktERERERK9Lq9VCq9Xigw8+QKFChQDEFd9Uztf88ccf2L59O169emXxuRHlern27dtjwIABAOLrmIh5qEOHDuHPP/+06LmJ6O2V1Bx3UkV+E2JRXyIioqzDNWxcw0aUncxmM8qVK4d3331Xjp0IInhEBBLlhHB38RwQddWU/Rlra2v53CGijDMajVi4cCGWLl2KH3/8EUDcPSfqPYt7LKn6qiKwWYx36nQ6fP/995g6dSpCQkKy9H0kDG7s3LkzgxuJcgmz2QwbGxsMGDAAzs7OMBgMsub0lStXsHz5cgDApEmT4OHhASDp4HhLBjeKfpMyuNHb2zvJ4MaUAhsBqL5mn4coezk5OWHIkCGwtrZW1Zs+fPgwduzYASDunhXtm4TBjQBU4yuWDG4Ux0zY9hLPOgY2EhER0etiy4GIyMJEB65Xr15o0qSJnFgTfz948AB//PEHAHWwkYODAzp27IgVK1ZgyJAhKFeunBykVgYhia+vXLmCVatWoU+fPjhy5AhCQkLkAL44pr29Pbp27QpHR0c5sK/T6fD48WMsWLAAsbGxsoOZ2vtp2bIlGjZsCCDxZH69evUs/d9I9May1CS2k5MTSpcuLe9t5QTexYsXcfbsWQAZW/iTGV69eoXQ0FAAkINaAFCsWDHkzZuXA1pE6ZRSYKMYWM6KwMbDhw/L45lMJlWbxc3NDZs2bZKvyyjxfFBO7Gs0Gjg6OuLdd99F1apVUb9+fbi5uaFq1aooXLgwXFxc5O8qX0tERETZR7RR8ufPDyB+k7VYnHf37l0AOWcjo2jXiDGPhAunX716BSDnXC8REREREWWdVq1aoX///qhfvz4AdbBibGxspgQ3ij6KOH5WBDcmtxnCYDDAaDTCzs4OL1++hJeXl5wDIqK3BwuDExERvTmSK3aVGetOgLj+T4kSJVCyZEnVWhBx3OfPnyM6OjrD6+ySK3ql/NpgMGDKlCn43//+l6jYFTd+ExERERFRTsfxWSIiIiIisoTatWujT58+ACAL/QJxcznBwcHYt28ffv31V8TExFj83KIuAgD06dMHH3zwAYC4NWuin/Py5cski/wSEVlKwvlfzgcTERFlH65h4xo2oteR1L2a3vtXo9HA3t4elStXluMT4jhmsxk3btzAsWPHAOScGiPR0dFyPlhcJwAUL14cTk5OOeY6iXIjg8GA4cOHY+PGjQgMDAQAuU9YhBsq9wQL4nvic18Q+4srVqwIBweHrHkTCsrgxr59+6JLly4MbiTKBcRcSokSJdCtWzdYWVmpnkEnT57EtWvXAAATJkxQzfmIAGdLBDdOmjQp3cGNovZCUjUKNBoN+zxEOYzZbEblypXRpk0bWTdF3O9Hjx6VodOiXZAwuFH0RzIzuFHZ/hLXyMBGIiIisgS2HoiILEwMHgHAgAEDUKpUKRmkptVq8erVK/j5+SE4OBg6nU7VmdNqtbCyssKQIUMwffp0DBo0SHYWRadT/K3VauUA1MyZMzF58mTcuHFDdSytVovGjRujYsWKACDPp9frcenSJWzYsCHVASnxs7x586J69eoAIBdWJxzYIqKUKe+38+fP49GjRxk6jpjM79SpE/LlyycHi5STdIsWLcKVK1csc+EWIAbNBDHA7uDgAKPRmCnFhIneZOJ+8vX1TbToUAxwi0WHW7ZssXhg45AhQ1SBjWJiTHzt5uaGVatWJXqdJaRlEDxh0CMRERFlP51Oh3z58qF8+fIA4scRxET41atXERkZmWMW6onrc3Z2BpC4XSH6cxwPISIiIiJ6u4g+QNOmTeHh4aEKbhTjpQaDIVOCG0X/SRw/M4MbUwpsFPNRkZGRAABvb2+UKFHCYucmotyDhcGJiIhyv6wudgXE96uU7QclKysrubEzo9JS9EoUzRBrbERfhxu/iYiIiIgoN+D4LBERERERvQ4xX9O7d29069YNAGTBS/Hn9u3b8PX1xV9//ZUpe33EPuD8+fPD1dUVOp1OzueI2gk7d+7Ey5cvLX5uIiIiIiLKObiGjWvYiF6H8t5Yt24dduzYAUC9Ty8txL68du3aoUCBAknWdfz2229x5swZC7+DjBN1ZQHI2rQAYG9vL58pRJR+BoMBX3zxBQ4fPizvMfFMAOLrTev1ejg4OKBevXqoWbMm6tSpI4MQlftwxdhqp06d0K9fP1hbW2fL+1IGN3p6ejK4kSiXEJ/v9evXh16vl/er2WzGtWvXVCGM48ePz5TgxoYNG2Ly5MlpCm68efOm/P6pU6dUNQpEP4d9HqKcR6PRIG/evHB1dYXJZJLzxmazGceOHcPNmzcBQI5hJBXcKH6emcGNGo1GhkQysJGIiIgshS0IIqJMIDqKFSpUQN26deX3xMD5gwcP4OXlhejo6ESdOTEw/95772Ho0KHYvHkzGjZsCBcXFzk4phxE0mg0ePz4MX755Rd069YN27Ztw927d+XPixcvjuHDh0On08nBLRGQduLECTx8+FB13qSICYIBAwagcOHCAAAfHx8ObBGlg/I+Wb9+PTw8PLB161YEBQWl+1jiuVG+fHnY2dnJQXAxcK3VavHy5Uvs378fYWFhFn0fGXX79m3cv39ftVkDiCs6/LoLlIjeVmvXrsXs2bMBqBcdAnETZfnz50dAQADKli1r8cDGI0eOyOOZTCZVeGNmBjYSERFR7iUm052cnADEB7ubTCaYzWZcvHgRt2/ftshGCUsQ7aqyZcvCwcEh0XWJhT9cqExERERE9HZRbth0d3eHh4cHGjRoACA+uNFsNiM2NjbTghuVx8+M4MbkAhtFP0j59bJly9CqVSsA7B8Rva1YGJyIiCj3yo5iV0Bcv+f+/fv4999/VcVixNcODg4WWWuSXNErjUYjN28C8QWIE/Z1uD6WiIiIiIhyurSOzx48eJDjs0REREREbxCxDweALEgppHUNl3Luo0uXLnj//fflscXPNRoNLl68iBUrVuD69euZtj5Mp9Ohe/fuKFeunJzDEfM3z549Q0xMTKacl4iIiIiIsh/XsMXhGjaijFHeG35+fpg/fz4mT56M77//HkD6ghtFXccKFSrA0dExybqOkZGROHjwIIKDgzPnDaWD2WzGnTt3cP/+ffk98R4aN24MKyur7Lo0olzNYDDA09MTJ0+elHuFxVipqJtUoEAB1KxZE0uXLoWfnx98fX3h7++PLVu2wNfXF6tXr0bbtm1RrFgx+bnetGlTdOvWDUWLFs3W95fR4MYnT54wuJEomzVo0AAeHh4A1PVdly1bhtu3b8vfSyq4EcBrBze6urpi0qRJiYIblXVoRXBjWFgYTp48CU9PT1mjIGFfT1w7+zxESUvYj8nsOh7i+J988gnatm0LIP4ZEhMTg0WLFiEkJETep9kV3Kisgc3ARiIiIrIUtiKIiDKRg4MDPD09YWdnB4PBAK1WKweaL126hFOnTgFQd3yVHTyz2YxatWrBy8sLEyZMQO3atWXgorIzKAaeIiMjMXPmTMyZM0dOGAJAnTp1MHz4cACQg1sAcPr0aezZsyfReRMSA2FWVlZo0aIFVq5cCXd3d3mNHNgiSpnyPvH19cW8efMQGxuL77//Htu2bctQcKPZbEapUqUwaNCgRItwACA6OhoHDhzAxYsXASDbJ7mePn2KyMhI+W9xvSIIls8RovS5f/8+duzYASBuQDmpQtyFChWCo6MjAFgssHHo0KGJAhtFG4KBjURERJQSMYHerFkz2NnZqRYkivbMvn37EB0dnaOCPgwGA169eiUX+wguLi4AUh5PISIiIiKiN1PC4MbevXsnCm4EkGnBjeL4BoPB4sGNyQU2inkdboYgoqQwuJGIiCj3ya5iV6K/EhISAp1OJ4tZmM1meY53330XgGU2lCZV9EqcR8xdAezrEBERERFR7pWW8dm5c+di7969idbAERERERFR7iDmV8TciVarlW1/jUaj2tei7BOkVdWqVdG2bVuULl1ank8U5dZoNDh79iwWLlyIW7duWeT9JGQ0GpEnTx5Zv0ScV6vV4tGjR7hw4UKmnJeIiIiIiLIX17BxDRvR61DeG5s2bcKsWbPkz8aOHYvvvvsOQPqCG81mM1xcXDBkyBBYW1snqutoMBhw4MABnDlzBgBeaw/f69JoNHjy5AnCwsLk98T1FitWTP4OEaWdwWDAkCFDcPbsWej1etV4rBgzrV27NoYNG4aVK1fio48+QuXKlQHE13gsXLgwPvzwQ0yZMgUrVqxA1apVUa1aNXTu3BnVq1fPtvemlJHgxi+++AJBQUEWa48RUfqI51HTpk1RunRpWSNeq9UiIiICJ06cAADZn0gY3Cj6PK8b3NiwYUNMnjxZFdwIqGsfHD16FP/73//Qt29f1iggyiDxeRwaGirr1Ysw+cwinitAXP0UJycnVTDjo0ePcOXKFQDx89BZHdzo5uaG2NhYGI1GtG/fnoGNREREZDFsSRARZSKTyYRKlSph9OjR0Ov1siMJxIUt7d+/H0DyE3ridwsXLozWrVvD398fX3zxBapVqwYAiQapRGfy6NGjmDBhAubOnSsn0z7++GO8//77spMtQpTWrVuH33//PdX3otVqYW1tjeHDh+Ojjz4CwIEtorQS94mfnx9mz54NIG7QOSgoCDt27MhQcKM4Zq1atfDOO++oNlWIBUCPHz/G/PnzERoamqYiwJnBbDYjKioKP/zwAwB1cFytWrXg6uqa5ddE9CYoVKgQRo0ahZo1a8JgMMjJbfHZrNPpcOvWLXh4eCAwMDDD51EGLw4ZMgSHDx+WzxoGNhIREb1dlOMWr9O3KFiwoDyGsi0BAGfOnEF0dLRqAj+7KSf+xb8BwM7OLjsvi4iIiIiIsllSwY3169cHEL+5QKPRZGpwo9lslscXwY0XLlzIcHBjcoGNsbGxqq8BboYgosQY3EhERJR7+Pn5JSp2BcStEY2NjYWTkxO2bdtm8WJXynMsW7YML168kP0JrVYr15o0aNAAgOWKxSRV9EqsaWFfh4iIiIiI3gTJjc+Kv2NiYlCmTBlYWVll52USEREREVE6iTVgYu/NnTt3cPz4cfj4+GDMmDH4+uuv8eWXX2Lw4MFYuHAhNmzYgNOnTyMsLCxRYcrkwgnEfMinn36Ktm3bwsHBQXV+EaB44sQJzJ8/H3fu3LH4+0wYimI0GmUhTwBcZ0JERERE9AbiGjauYSN6XeLeWLt2rep5Iu6tcePGpTu4URyzSpUqqFGjBgCogl31ej3CwsIwb9483L9/H1qtNlvqOppMJsTExMg6tuI9azQaVKtWDQ0bNszyayLK7UwmE7y8vPDbb7/Je1vUdRSBjc2bN4eXlxc+++wzODk5qfbwJvy8dnBwQJUqVbB9+3ZMmDBBVb85J0gY3Ni5c+ckgxtFG+zGjRuvVcuSiF6PuCdr1qyJGjVqqPoJkZGR2LNnD2JiYmBlZSXbJuPHj8fnn38OIL7/kTC48auvvkp3cKOrqysmTZqkCm4UteLEM+PChQuy7cTARqL0EfOzd+/ehbu7O0aPHo1vv/0WAFSBiJlBzC83btwYpUqVUo3HPH36FNu2bVNdh/g6q4IbV61ahXfffRdNmjTB3LlzATCwkYiIiCyDrQkioiRYKhhAdNrq1q2L6tWrA4AMUgKAvXv3yg5naoNEIsxg1KhR+OabbzBo0CAAUAU1id8RwYwbNmzAmDFj8OOPP6JkyZLo0qWL7FiL18TGxuLw4cN4+fJlmt5Tnjx55Ncc2CJKu2+//RazZs0CED9grNVqERwcnOHgRgCoVq0amjVrJgfAlWFqer0et27dwv/+9z/ExMRkeXCjmHSLjIzEtWvXAKiDWUqWLIm8efNm2fUQvUlsbGzQpEkTfPHFF3j33XflgLQIbhQTVVevXsXIkSNx7969dJ8jYWDjkSNHVBNjDGwkIiJ6eygXt+zbtw8HDhxAZGRkho5VpUoVtG/fXh5X0Gq1uH79Ory9veW/s5O4tlevXsHKykq2b8SYTpEiRQBYbgyJiIiIiIhyn4TBjR4eHqrgRtGvMRgMmRbcqDz+6wQ3phTYCIAbwIkoTdIa3Hjw4EEW1CMiIsom69atU61hExsXgbjPbDs7O3h7e6N06dKZsnHRbDbj0KFDuHXrlmqNiyh61axZM5QvX97iG0iTKnql0+nY1yEiIiIiojdGwvFZZX/Hx8cHTZo0yd4LJCIiIiKidNNqtQgNDcWhQ4cwZswY9OjRA1988QV8fHywb98+7Nu3Dz///DN+/fVXrF69GnPnzsUXX3yBdu3a4euvv8bevXsRHh4OALL+SELK/cKDBw+Gu7u7/D6gDm48fvw4vLy8cOvWLYvO5YhjFS9eHHnz5pX7mMU81cOHD+W1EBERERFR7sc1bFzDRmQpt2/fxoIFCwAAtra2MBgMqtpnGQluBIDy5cujTZs2AOLvVSB+b8zjx48xaNAgPHv2LFvqOmq1WkRHR+PixYvyusTzrFSpUnB0dMyy6yF6U+zcuRM///wzgPjxSmVgY/v27eHt7Y0yZcrAyspK/jwlJpMJ1tbWeO+99+Rxc9JnuzK4sW/fvujSpYsquDHhuhOxd5qIsoeYIxk2bBhKliwp2x96vR7Xr1/H6tWrAcQHTgNxbaGEwY1AfJvm0aNHGQpubNiwYaLgRuU1imcdAxuJ0ke09QMDA9G7d2+Eh4fj/PnzWLx4MXr06IEdO3bgv//+U903lh67MJlMyJs3L0aPHo38+fPDYDBAq9VCq9Xi6NGjsn+llFJwo7hGSwU37ty5U4ZYMrCRiIiILIUtCiIihZs3bwKADEC0lCpVqqBFixYAoBrYAuLCDm7dupXqMXQ6nRyAqlGjBoYPH47Vq1fj448/RoECBWRhTtFZFsc/duwY5s2bBy8vLzRv3hwDBw6U4W4ajQYGgwH79++X752LlYkyx9WrVwHEFbUVC3VEwFpGgxvF/Tp48GA0a9YMAOS9bTab5UTYuXPnMG7cuCwPbhSDVytWrMCdO3dUCw9cXFzg4eEBwPKDfERvC2trazRu3BiDBg1KFNxoMpnkM+DKlSsYMWJEuoIbkwtsBNTFxhnYSERE9OZTLm7x9fXFmDFj8O233+LYsWOIiorK0DErVaoEAHLzgugTaDQanDhxAr/88otlLv41iPd85coVvHr1Sk7ai/8PV1dXANkfLklERERERNkrteBGMa4aGxubacGNZrNZHj8mJibdwY3JBTaKfhA3gBNReqQluHHu3LnYu3evfLYQERFR1nnx4oXq3wnb9AaDAZcuXUJgYKAswGtJjx49wv79+/HkyRPZXxF9I5PJhAYNGsDe3j5T+hpJFb1iX4eIiIiIiN4kYnzWzs4OMTExAOIK54nQFe7dISIiIiLKPcLCwvDnn3/C09MTU6ZMwb59+xAWFgYgro6ImMcR+3JE0KHZbMaTJ0+wb98+fP311xg8eDC8vb0RGRmpKo6pJGqr6PV6TJs2DU2aNFGFNSq/PnbsGObMmYPr169brC6JmJfJnz+/LHjO/gsRERER0ZuLa9i4ho3IUkqVKoXp06fDzs4OUVFRqiAiMcaQ3uBG8fPu3bvj008/lcdLuDfmn3/+wddff43Q0FBVjdjMpqzr+M8//6hqwjk7O6N3794AWE+WKC3E/R4UFIQjR47g8ePH8mfKwMYOHTpg7ty5soZsWiWsR5QTP9uVwY2enp4yuFGj0ch1J8uWLeO6E6IcQDxTnJycVHXPRJ2Cc+fO4fnz5/L3kwtuFHUJlMGNw4cPz1Bw4+TJkxMFNwpiDouBjURpowxs7NGjB54+fQpra2v5/XPnzmHevHnw9PTEgQMH8N9//wFIXzh9WohnTcmSJVGjRg3VOYxGI86dO5fk65ILblTW33/d4EZlH0fU3SYiIiKyBLYqiIj+38aNG+Hh4YFJkyYhOjo62UXH6SU6rp9//rkquFF09P7++2+cP38eQOoTXKIzKI754YcfYuLEifDy8kLFihVhMBhkUBsA+R4ePHiAzZs3o3v37mjUqBHee+89eR16vR7h4eGYMWMGnj17xg4nkYWJ+3Xp0qX49NNPERsbC5PJpBo8ymhwo7LYbp8+fVC5cmUAkMUvlQGthw8fxowZMxAbG5ulwY0nT57E6dOnAcT9X4jnUvXq1VG0aFEAOXMSkSi3sLGxwYcffmjR4MbUAhuVX2dVYCMn6omIiLKHcnHLpk2bMHv2bADAP//8g5UrV+K3337LUHBjjx49ULduXblAUfRfzGYz/vvvP/z44494+vSpvIbsFBwcrNrILgKsCxQokK3XRUREREREOUdSwY0NGjQAANmHAOLGUDMruBFAhoIbkwtsFBsgGNhIRBmRXHCj+DsmJgZlypSRm+CJiIgo64wYMQIjRowAANXGaI1GA51Oh9jYWCxfvhy7d++WGzhfl7JPsn79evz2228AIIsHiz5R69at0aNHDwCZNz8kil4NGDBAfs/Hx4d9HSIiIiIiemPUqFED69evB5A4sJH9HSIiIiKi3OHy5ctYtWoVvvzyS1y7dg0REREAoFqHJvYPi704RqMRZrMZBoNBFsEFgLNnz2LNmjXo2rUrtm/fLud/Es7FiHVsVlZWWLZsGVxdXeXat4TBjSdOnMDcuXPx119/ycLdlpjbCQsLQ3h4uJw7En/nz59f9f6JiIiIiCh34xo2rmEjshRra2t06NABEydOhLW1tax/JsZIxPhIeoIblT/v1q0batWqBQCqvTGiruPJkycxdepUvHjxItU9fJZ09uzZJOs6VqlSBSVKlADAcRSitBD39J49e3Ds2DEAUI2Hms1mtGzZUtZaUga4vkkSBjd269YNzs7OALinmCgnyps3Lzp16gS9Xq/qT/3xxx84ePAggPjAxOSCG5VB13q9Hg8fPsxQcKOrqysmTZqkCm5UnpeBjURpkzCwMSQkRNb4EPeTRqNBREQE7t+/jzFjxmDSpEnYsGGDnCsGYNE684ULF0bHjh0BqMduAgIC8Pvvvyf5muSCGwFYJLhR2cfhM4SIiIgsiSOpREQAfH19MWfOHISGhmLnzp3o0aMHjhw5guDgYACvN3muHDBq164dihUrJo+p0+kQHR2NBQsW4M6dO9BqtWk6l7JjWKRIEXz00UfYunUrBgwYgJo1awKADHAUg1Z6vR6XL1/GiBEjYDAYYG1tDY1GIzu+gYGB2LNnjxzQIiLLEPcZAMyePRsdOnSQ4aqWCm4E4kIQmzdvDkdHx0S/YzabERsbi/3792POnDlZFtwYHh6OAwcO4ObNm/Jaxf9Fjx494OLikqnnJ3pbWFtbJxvcKJ43aQ1uTCmwUTy3gMwNbBSLj+7cuSOfHxwUJyIiynoJAxu9vLwAQI4nXL9+Hd9++226gxtFP6Rdu3Zy47Q4n2hrfP/999i3bx+A1Bc9Z6anT5/ihx9+kOcXf7ds2RIVK1bMlmsiIiIiIqKcKWFwY+/evVXBjaK/k5OCG1MKbBTzy9wMQUQZlTC4URkC6+PjgyZNmmTvBRIREb3FBg4ciK+++gpA0huuY2JisGHDBuzYseO1i16JfgcALFq0CJs3bwYQt/laFBMG4grFdOvWTb4mM/scLi4u6N27Nz7//HMsWbKEASZERERERPTGqV27Nk6fPs3+DhERERFRLvTrr79i3rx58Pf3R1hYmJxTEYXClW178bWywKWyKKcoMK7X63Hz5k0sWrQI33zzDf76668k+wg6nU6ub1u1ahXq1q0Lg8GQZHDjqVOn4O3tjaNHjyIyMvK19v6I+aJXr17BxsYGer1ehrUAkPUIsmtvERERERERWR7XsHENG5GlWFtb45NPPsGUKVMSBTeKZwqQ/uBGAKhWrRpatmyJQoUKAUCi/XlGoxG//fYbZsyYgbCwMGi12kyv6xgREYF9+/bh6tWrANR1HT08PFC4cOFMPT/Rm+bChQvYtGkTAMhnh/jz/vvvY+LEibKWoxivzAzi+SJCZ4WsGhNVBjd6eHigV69eWLt2LfcUE+VAZrMZNWvWhKenJwB1f2rnzp34999/5e+mFNyorCn7OsGNDRs2TDK4kTUKiNJGjFncu3dPFdgociVEPWkg7v7R6/UwGo04ffo05s6diwEDBmDr1q148eKFqq3yOm0I8drWrVujTZs2AKDqW23fvh3Pnz9P8rUpBTeKY79OcCMRERFRZmBoIxG99TZt2oTZs2cDAKysrGSo0YwZMzBv3jz8/fffqgGdjHQ6xetdXV1RtWpVAHGdSDEw/eLFC6xevRovX77M0OCR0WiEvb09hgwZgtmzZ8PDw0O1CEF0WHU6HUJCQnD58mXExMTIjqrRaERkZCR++eUXvHz5EkDiiUEiyjgxqAUAc+bMsXhwo9lshp2dHXr06AFXV1cASHLTxatXr7Bnzx5MmzYNMTExcvNEZtm8eTN27NgBIO7/QJyrT58+aNy4caadl+htZG1tjcaNGycKbhSTZWkJblROug0dOlQV2Cg2aImvMzOwUavV4uTJk2jVqhXWrFmDW7duWeTYRERElHbKxS2+vr4ysFEshtFoNNBqtRkKbhTtiw8//BCFChWSCxPF+IRoV8ybNw8HDhwAkPXBjWJMJCQkBC9evJDnF+2hChUqyPYWERERERGRkFRwY/369QGox1hFsOLrBjf27t0bDRs2lMcXfau0BDcysJGIsoIIbrSzs0NMTAyAuMBGZVEJIiIiyh6DBw9WFb1SBs1bquiVstjVypUr5ToT5Vo6AMifPz/c3d1Ro0YNAJCvyUwFCxbEyJEj0aJFCwDs6xARERER0Zsnf/78ANjfISIiIiLKTb7//ntMmzYNf/31F6Kjo1VrysT8iXIeJeHXyv05yuLiYu1aaGgofv/9d/Tp0wd79+6V68OURD0Aa2trbNiwAbVq1YLBYJD9CmVw44ULF+Dj44MdO3bIOikZqVEi3sfBgwcREREhj2EwGODs7Iw6deoAAPs2RERERERvGK5h4xo2IktJKbhRWRstPcGNIhCle/fuaNKkCbRabZLPhujoaBw+fBiTJ0/G8+fP07RH8HVs3rwZAQEBANR1HXv16gU3N7dMOy/Rm0aMQV6/fh2vXr2SNY+AuPu/dOnS6NWrF5ydnQFYfmxSPH/E3+L5Ivb2Cspx2cwm9iBbWVlh0KBB+OCDD+Q1so1ClFhy7YjM3jMr7sf33nsP+fLlU7Vp7t69ixs3bgCAfKZlR3CjjY0NaxQQpYGoaRgYGIiuXbuqAhsFEXAofl8EIoq2w/HjxzFv3jx069YNP/74IwIDA+XrMkr52nr16snzifbIxYsXZb38pNooyQU3KuevGdxIREREOQlDG4norbZ69WoZPCCKUIpJ9qCgIOzbtw8eHh747rvvEBwcDAAZXixsMpmQN29ejB8/Hi4uLnJxshjIOnfuXKLBrbQSHU9ra2uUL18eEyZMgLe3N9q2bQsbGxsYDAbZuVV2ckUnWHS0//rrL/j4+Ki+R0SWoZxIt3Rwo3guOTo6Yty4cXj33XflcQVxT7969QrfffcdRo0ahejoaIsFrSXk5+eHxYsXA1BP7NeuXVsuFCIiy7KxscGHH36YZHCjyWRSBTcOHz5cDqgD6uDFIUOG4PDhw/IZonyeZEVg4+nTp/HFF18AAA4cOAA/Pz/cvHnTIucgIiKitBHjBevWrcPs2bMBxG8+UIYVajSaDAU3ms1mFCtWDBMmTJD9BWVAtGhfTJo0CUePHpXnyqpC/uJaVq1ahSdPnsgJfqPRiJIlS6Jr166qxQxERERERERCwuBGDw8PNGjQAEB8cKMyWPF1ghubNGmCPn36oFGjRomObzAYZHBj7969cf78eWi1WhgMBvl7CQMbxfw1AxuJyJJq1KiB9evXA0gc2MhnChERUfZKWPRKzM9YouiVstjVt99+iyVLlgBQF7sSP2/QoAF69+4NW1vbLA11tra2ll+zXUJERERERG8q9neIiIiIiHKH7du3Y9KkSXj8+LGqJohyP4soxFmwYEEUK1YMtWrVQoUKFVC8eHE4ODgAiFtDJvYSA/FhjmKdhtjD8/XXX2PVqlW4d++evAYxT6MMbvT19UX9+vVlYU0Aquu6ceMGNm7ciMWLF+Pp06eqWibpcf/+fVy/fl3+W+xpLl68eJbPIRERERERUdbhGjauYSOylOSCGwF1DZO0BjeKmm02NjYYN24cXF1dE9V1FPdtVFQUjhw5gmHDhiE4OFj1O5bk5+eHRYsWAVDXdaxZsyZatmyZKeckelNptVqEhYXB19cX0dHR8n4W92/16tXx/vvvW7wmszJEDQACAwPx559/Ys2aNZg6dSpGjBiBfv36Ye7cudiwYQNu3ryJ8PBw1XVkZlslqffLNgpRYsq9satXr8aQIUNw5swZvHjxIsM169PLzc0N7u7usqa1Xq/Hq1evsGzZMoSFhSVqsyiDG/v06QMgc4Iby5QpI2vQsUYBUco0Gg3Cw8Mxfvx4PH/+PMkaj0m9Rlm/Hoi7f//991+MHz8eY8aMwY4dOxAZGSlf8zqh8t26dUPdunXlMXQ6HZ48eYLFixerxl0SSi64UWBwIxEREeUkGjNXphHRW+rp06do1qwZYmJiAMR1OhMuAtbpdHJCqn379mjWrBmaN28OIGMDPmIB8qpVq/Dtt98iKipKtdDZ3d1dhiZmdEBJ2WENCQnB5cuXMXPmTAQHByMqKirR+xTnsbGxQVRUFPLnz4/du3ejePHi6T43EaXOaDTKgSIxeS/uSzGgJAbaXVxc0LlzZ3Tr1g2FCxdO9dji/n/48CE8PT0RGBioWiQEQA6smUwmvPvuu5g7dy5KliwpF/Bk5NmjfE1MTAw2bdoEb29vAHET+yaTCWazGba2thg+fLgcpCeizBETE4Njx47h22+/xd9//y2fK+JeFYW5q1WrhkWLFqF06dLytUOGDMGRI0dUgY3KwfisCGwURcJtbW3lpFu3bt3QrVs3VKlSxSLnIyIiotT9+++/6NmzZ6LJfGV/QTmBX6VKFQwaNAhNmjSBra1tqscXm8VXrlyJb7/9VoaGiOFq0UcqXbo0vvnmG7i6usrXZcUCnEOHDmH27NkIDg6W12M2m9GjRw+MGjUK1tbWFl9cSUREREREbw5l3+XIkSPw9fXFmTNnAEAVzmhlZYXY2FjkyZMH/v7+qFq1qmouKS3HP3r0KHx9fXHixAnV8ZUBjFZWVti0aRPq1KkDADh16hQ8PT1lYGNsbCwDG4koU4WFhSF//vwA+EwhIiLKaVauXKkqSCXWzCoL8np6eqJz584oUaJEqsdLWOxq8eLF8njKTZoGgwHvvvsuVq1aBWdn5xQ3axIREREREREREREREb2p/P39MWPGDABQ7asR8yk6nQ46nQ6dO3dG9erV0bBhQ+h0Ojg7O+PVq1eIjY3FkydPcPXqVfz999/48ccf8ezZMxgMhiRriyjng0Qdg3feeUf+XKzpEHuIY2NjMWTIEBw9elRes5jTEXuKbGxsULVqVXh5eaFs2bLy99K6RsTHx0fWWVGur5szZw46dOiQ4f9bIiIiIiLKHbiGjYgsJSYmBnv37sX06dMRExOT5H0PqMccUhq/EPv8wsPD0a9fP1y8eDHFuo4lSpTA/PnzUaVKFdjZ2aV6/OQoXxMdHY1NmzZh4cKFANR1HW1sbDB8+HB8/vnn6To+EQE3btxAv3798Pz5c9X4qZ2dHXbt2oVy5cplyh64qKgoHDp0CH/++Sd+++03hISEJBvM5OzsjIIFC2LEiBGoUKGCrBHNvXlE2Ud5//n6+mL27NkAgJIlS6Js2bIYOXIkSpcuLdsB/8fefUdHUf5vH3/vbiqEhEDovSNNioiCdBQFpYgoTRHBig3Fn6igKCCgYAEsKEVq9AtYUCyI9CJVRQGpUqQHMJSEJFueP3juYTYFAqTC9TrH47JlZjbnzOzc7XNlRhvD3J/8+eef9O/fnz179uBwOHC5XAQEBPDiiy/SpUsXwD941X7sw4cPZ8qUKcD5dpfZhtvtpnjx4rz33nvUqlUr3ceVlJTE0qVLeeONN3jxxRdp06ZNiv2KSEoTJkxg7ty5bNu2DcBqW9gDV0NDQ3E6nZw9e9Zqi9jbJaZeo9GyZUvq169Pz549L/v8M9ea+fPn89prr3HixAnrehYVFcWbb77JLbfckq72lM/n49VXX+XLL7/0C7G217CsUaMGjz76KI0bN05XDUsRERGRjKLQRhG5pu3du5fo6GiWL1/O9u3brUnM9kapfYCtYMGC3HXXXTz33HNXFHD2559/0q9fP/79919r4AvOdaYNHDiQHj16XNH3Sn5MBw4c4Msvv2ThwoVs3rzZ+n4ulwuv15tm8U0RyRwXCm4014PLDW402/7333/p3r07hw8fTjHAD+evbWXKlKF79+7ccsstlC9f3no9vZ379u/y119/8c033zBt2jTgXAee6fzyer307NmTl156CVDHuUhmSyu40Zzb9uDG8ePHU6hQoRwV2GiKhNsnUnbs2JFXXnmFsLCwDNmviIiIXNjp06fp168fy5Yt8wtthPNhjckHvS81uBFg06ZNvPPOO6xcuTJFO8H8u3LlyrzyyivceOONfs9nlsOHDzNy5Ei+//574PzEIpfLxfTp06lTp06m7VtERERERK4eFwtuNGNCZqw2M4Ib4XwwZGBgIN999x1nz56lQ4cOVl+s2+3265cFBTaKSObRNUVERCRnSl70KnmBmvQWvbqUYldlypRh6tSpFClSJF1tIBERERERERERERERkauNvaBvauMpoaGh3HbbbbRp04amTZuma5uHDx/mu+++Y8GCBfz222/Wuh9TSyV5cGPbtm3p2rUrN9xwA5B2cOOrr77KTz/9RFxcnHWMpoaA2UdERAT9+/enXr16fnUL7GuSzVw2Y8qUKQwfPtz6G5jjatasGa+99hrFihW7vD+uiIiIiIjkKprDJiIZJbXgxuRhsHDpwY2nTp2ie/fubNu2zW9toGGuLVFRUXTr1o0mTZpQo0YN6/XLqev4xx9/8O233zJ9+nTr+O11HR944AFefvnlS9q+iJwzY8YMhgwZAmDVgfV4PNx8882MHz8ep9OZYXUWAfbt28eWLVv46KOP2LlzJ4mJida+7YFp5j9zLXC73YSFhdGoUSPuvfdeGjVqBGiNnkh2sJ93aY1t5M2b1xrTadWqlfXZzPidPnXqFP/3f//HokWLUoyvfPzxxymOOfm/MyO4MTExkZMnTxIVFZXq/kXkPPt1Yfr06cycOZNdu3YB+NWnByhSpAiNGzfG4/Fw/PhxlixZYr1mb5vYczQAateuTc+ePalRowalSpWynr+Uc/PAgQM8+eSTbN682e9a06NHDwYOHHjRz6cnuNHUxy5atChjx46lZs2a6To2ERERkYyg0EYRueadOXOGPXv2MH78eH766SfrefsAu+lAN5OFGzVqRKdOnbjlllsIDw+/rMH2zz//nMGDB1vbh3ON5SZNmvDaa69RokSJDPl+pgGemJjI8ePHGTNmDL/88guxsbEAhIaGEh8fD8C4ceOsTj11bIlkrgsFN5rrTUYENz788MP8888/KTrKnU6nNSCXL18+ihYtyhNPPEG9evUoXLiw9V6zCMIM0sP5a6I5/sTERD799FNWrlzJ+vXrAVIE0nbs2NEaVNAEJZGskd7gxurVq5M/f35WrFiRowIbAb/HY8aM4bbbbsuQ/YqIiMiFmT6BzZs307NnT06dOmUN4qc2CedKgxt/+OEHRo0axf79+61F4PZ9uFwuKlWqxIsvvsjNN9/st++M/s5wLpzkgw8+APwnRT3zzDM8/vjjGbZPERERERG5+l0suNGMCWVVcKMZA7cHNsL54EhQYKOIiIiIyLUqedGr5AVqLlb06kLFrszibdP2KF68ODNnzqRo0aKaSyYiIiIiIiIiIiIiItek5AV9k4eH5MuXj2effZYmTZpYRTTTKupr5nmZcZekpCTi4uIYO3YsX3/9NadPn7a27fV6UwQ3tmzZkl69eqUa3GgvDv7+++/z448/sm/fPr/t2Y87NDSUqlWr0qFDB26//XYiIiJS/f7r1q1jwYIFfPbZZ9bfwBxbWFgY//d//0fnzp2v+O8sIiIiIiK5h+awiUhGSSu40R5EBOkPbjQ1106dOsXDDz/M77//btVZsddIMdsOCQkhKiqKXr160bRpU79rlj20JLW6jj6fj8TERMaPH8/KlSv5/fffgZR1HTt06MCIESP8tiki6ffBBx8wduxYv+uDz+ejT58+9O/f/4q2nbwfd8GCBUyaNImdO3cSGxtr7dO+xjh5PIC5HpnrQ0BAAMWLF+fZZ5+lTZs2gNb/imSlCwU2Jh/fMXXaunbtSrNmzWjYsCGBgYGZcjxbtmyhR48enDlzxq8NNWjQILp3737R75IZwY2p7UdEUnex4EZzf+Dz+ShTpgzNmjXj7rvvZt26dUydOpWDBw9a7R1zT2Heb+4hIiIiKFy4ME8++ST169enQIECKfZ9MQsWLODJJ58E8LuP+fDDD2natOlFP3+h4EZT897j8XDbbbcxZsyYS/gLioiIiFw5hTaKiNjMnDmTJUuWsGTJEsC/8wuwOr58Ph/Fixendu3aPPfcc34DYRfrFDKvx8XFMWDAAObPn++3bYDBgwfTpUuXzPiKwLkwhKVLl/LVV19ZzymwUSTrZUVw48GDB3nuuefYuHGjXxCtuQU02zfq1KlD7dq1adu2LSVKlCAyMjLV7Z88eZLdu3ezdOlSFi5cyObNm63X7NdOn89Hu3bteOutt1J8ZxHJfGkFN5rfehPcCFhhrjkxsNF+nyIiIiJZw+fzERcXx7Bhw6y2in2in32SzuUGNyafjDRixAgrpNG0U8z9icPhoGTJkrz88ss0b9480773Z599Zk1Mtn/HJk2a8Pzzz1OlSpVM27eIiIiIiFydLhbcaMafTZ9oaGgoM2fO5LrrrkvXZOf0BjemtmAd/PtiFdgoIiIiInJtS170Kvni8bSKXl2o2FXybRQrVozo6GgVuxIRERERERERERERkWtWWgV9TXhIREQEb731VoYU8v3iiy+YO3cu69ev99ufWb9j9n3HHXfQq1evVAvvmjEdj8fDl19+ybfffmvNgbMfv6mRYFx33XUUK1aM2rVrExERgdPp5NChQ/zxxx9s27aNI0eOWNswa5K8Xi8PPPAAL7/8MqB5bCIiIiIi1xrNYRORjJJZwY2nT5+mf//+LF++3NqGPXgteV3H6667jqpVq3L33XdTrFgxihcvnup6wZiYGPbu3csvv/zC8uXL2bp1q/Va8lC59u3bM3LkSEB1HUUulTnPX3/9daKjo63zy9SD7t+/P3369Lnsfkn7PcmyZctYsmQJ06dPt16311RKfkzJHxv260r+/Pl59dVXreBGEcl8FwpsNPcChqnnatogxYoVo0qVKvTv359ChQoRERGRYcfl9XpJSkpi+PDhzJo1y+/55s2bM2TIEAoWLHjR75SZwY0icnGXEtxYqFAhOnTowFNPPcXBgwdZtWoV48aN47///rPOXXvGRfK2ScuWLbnxxhvp2bNnqvtPS0xMDK+88gpLly61jsnpdNK1a1deeukl61gvJLXgRvO9vF6vXxvnUgIlRURERK6UQhtFRPBviO3bt49ly5bx9ttvk5CQgNfrtRp0plPJPAYoWLAgr7zyCnXq1KFYsWIptnchs2bNYvjw4SQkJFiNTbfbTXh4OJMmTaJGjRoZ+j3tg2oJCQn88ssvvP/++7zwwgsKbBTJJlkR3Hj06FHeeecdVq9ezYEDB1J0osH5CUXmGhcWFkZISAhVqlShcOHC5M2bl7x583Lw4EFiY2PZvXs3e/bs8fu8uV7ai/x26dKFV155BcjYsDcRSb+0ghtN+JE9xNUssoKcE9ioIuEiIiLZa8GCBTz55JOAf5hIwYIFcTgcxMTEAOeDG+Hcb316gxvtfShjxozhww8/BPwXQADWPYvT6WTYsGF07NjR77XLuUdI/rnJkydbg/b2/UdGRvL888/TqVOnS96HiIiIiIgIpC+4EfyLbk2ZMoWqVatmSHCjacvZORwOa3+gvlgRERERETkntaJXPp/PWnydvOiVvf2QvNhV8sXaKnYlIiIiIiIiIiIiIiLXurQK+pp1tfnz5+fTTz+lZs2aV7Qf+1jM2rVr+eqrr6zil/b92oMb7777bh555BHKli2bYntmHpvP5+OPP/5g9uzZzJ4923rdXjTUjA0lr2dgZ14LCAiw3uP1emnXrh1vvfVWiu8gIiIiIiLXDs1hE5GMklZwI/j3j6Q3uNFcN+Li4njvvfdYunQpu3fvtrZnr5GSvK5jSEgITqeTqlWrUrBgQcLCwsibNy+HDh3i9OnT7N69m0OHDvl9Pnldx6CgILp06cLLL78MqK6jyJV47bXX+OKLL6x/m2vCyy+/zAMPPHDJ9wn2a4fX62XEiBEsWbLEqtea/BphmH5S+/pfe99p8s/4fD7Kli3L4MGDuemmmy7pO4vIlZk6dSpvvvkm4N/WsLOPk3g8Hut8Llq0KA0aNKBDhw7cfPPN1vszok1irw9njsvlcvHhhx/StGnTNO9tLhTcmDz4XsGNIpnrYsGNgJWHUaBAATp27Ejv3r0pUKAA+/fv5+uvv2bFihVs2LDBan+kdi6b1xo3bsydd95J48aNKVCggHUcF2oL2ce4zTUuLCyML774ggoVKqSrPok9uPG1117jyy+/xO12+40PK7BRREREsppCG0VE/r/kDbuNGzcya9Ysli9fzsGDB62BK3u4kWlw5smThxYtWtC2bVuaN29+Sft69NFHWbJkibV9p9OJw+GgW7duPP3004SFhWXOF/7/Tp48SXh4eIrjEpGsk5nBjea6curUKX788Ue+/vpr1q9fb71uOrrMuW8PbTOD9KlJ3glnjtd8pnLlyrRt25ZHH300xXcUkax3seBGO3PtadKkCZ988gmQNYGN9slMKhIuIiKSswwaNIhZs2YB59sClSpVomjRoqxbt474+HjrNfO6z+dLd3Cjvb3w9ttvM3HiRMA/uMT829wz9OrVi9tvv53rr78euPSBdvs+9+zZw5w5c6x7n4CAAHw+nzWpsXfv3rzwwguA7klERERERHIb+z28eZxdYxb2Y/nll1+YOnUqq1evBvzbP6btU7hwYSZOnEilSpUyJLjRPh5k+mXVFysiIiIiIqlJXvQqeeEqU/Tq7rvvpkyZMhf8jJkHomJXIiIiIiIiIiIiIiJyrUstsNE+nhIZGcnUqVOpVKlShszjsm9j586dfPHFF0ydOtVv/+Af3PjYY4/xyCOPkCdPngtuD2DatGmMHz+e2NhYkpKS0ixSbJ8fZ9YwJ38M0L59e0aOHAmoNoGIiIiIyLVOc9hEJKOkFtyYPAwWLj24MTExkZ9//plvvvmGpUuXWq+nVtcR8KvRmJqL1XWsWrUqbdq04ZFHHvE7DhG5PO+88w6ffPKJ3znn9Xpp0aIFY8eOvaTzy6z/PX78OOvWrWPatGmsXbvWr66r6Qe115g1goODCQ0NpXTp0sTHx5OYmGiFPYJ//6q5TrRt25bnn3+ewoULZ9BfREQuZPr06QwdOhTAr25qanw+H06n06pdn/yc79mzJzfeeCMtW7bMsOOz14cz9zfVqlXj448/vuB14kLBjcnbYApuFMlclxLcGBUVxV133UWvXr0oXLgwiYmJ+Hw+xo8fz8qVK/n9999TfM5eZ8Tn8xEREUGRIkV4/vnnqVKlCkWLFk31uOyf7dOnD8uXLwfOXyfuvPNO3njjjVTHllNjD2585plnyJMnDyNGjEjxNxARERHJKgptFBG5gBMnTrBr1y5Gjx7Nhg0brOdNxzqcL5rpcrkICgri0UcfpWvXrkRERABpN/ZMA3H79u08+eST7Nmzxy9AqUSJEnz88cdUqlQpUwfFVHRTJGfIzOBGc54nJSVx9OhRJk6cyLfffsvJkycB/2ta8muC0+m0Qt3MY/OetAYB7r33Xm699VYaN26c4ruJSPZJK7jR3iQ0j+vXr8+0adOArAtsVJFwERGRnMf8Bv/8888MHDiQ06dPW2GGxYsXp3///vz+++/Wgm3ImODGt956i0mTJqXYHvgHN9aoUYOGDRvy1FNPAecmNJn7DY/Hg9PptD7r9XqtSYj2fpovvviCRYsWsXjxYuBc+8hMVPR6vXTu3JkhQ4ZY/9aAvoiIiIhI7mHvV4yOjmbTpk289tprBAYG5prgxnLlyvHhhx9Srly5dPWTXiy40YzzqC9WREREROTqk1Y7x14A91Lu+ZMXsEpeoCYoKIiHHnqIPn36MHPmTN555x3rvckXZ6vYlYiIiIiIiIiIiIiIXOtSC2wErLlcBQoUYObMmZQtWzZD16/Yx4cOHDjA7Nmz+fDDD63jSC2kYOjQodxzzz3pGltavXo1S5YsYc6cOcTGxgJcsC6B2Z59fVDx4sWtIuOQseuaRUREREQk62gOm4jkVGkFN4J/H0V6gxtN343X6+W///5j5syZREdHExsba/Vr2EPgTN+IvZak0+n0q994obqOXbp0oXXr1tx8882A6jqKZIT58+fzzDPP+NV69fl8XHfddYwfP57ChQtf8FxL3oe7Y8cOPvjgA37//XcOHjyYIlwJ8AtvBKhWrRrly5fn/vvvJzIykhIlSuDxeIiPj2fRokX89NNPrFq1irNnz6a4ruTLl49x48bRoEED1UMSyQIbNmygW7duVtCY/dy23y/kyZOHM2fOWP9OrXYAQEREBI0aNeLhhx+mRIkShIeHX9a5bD6zaNEiXn31VY4fP27tr2DBggwbNoymTZte8Hp2qcGN77//PjVr1ryk4xSR9Lmc4MbevXsTFRVlbWPnzp389ttvjB07llOnThEXF2ddi+zBjeaeIiQkhBtuuIHbb7/db3zYft0wn505cyajR48mISHBGgeuWLEiY8aMoXz58um+jqV2TdL9jIiIiGQXhTaKiKSD1+vlk08+YcWKFaxduxbAr6PMNDhNx1SrVq247bbbuOOOOy5a9PP06dOMGTOGmTNnWiECpuO+YcOGfPLJJ5pQLHKNyMzgxuQWLlzI6tWr+eKLLzh79ixwvlPcDOjZO9MAv0F/e2Ctx+MhIiKC4sWL8/DDD9OkSRPCwsIAdXqJ5DRpBTfaJ/bAuYH8Tz75xK/z/UqlFdiYlJSEw+EgICBARcJFRERyKJ/PR+/evVm5cqXVH+L1ernllluYMGECI0aMYOrUqVa/SEYEN37wwQd8/PHH1v2BPVwk+STEGjVqUL9+fe68807KlCljtUfSsnv3brZv3050dDQbNmzwaxPZA+3btm3L6NGjUxybiIiIiIjkfPZ+RVPsKjg4mC5dutC/f/9cEdxo+m4bN27MG2+8QbFixTIkuNHpdKovVkRERETkKpD8Ht4UeUlISODEiRM4nU4KFy5MYmIiQUFBfp9N75yu5EWvzAJx8zg4OJhatWpZ82rti7LNPBAVuxIRERERERERERERkWvdxQIbIyMjmTlzJuXKlcv08ZTjx48zffp0v+DG5EV3nU4nU6ZMoX79+mluxz7elJCQwJ49exg3bhy7d+9m27ZtVnCBy+Wy5sKZcBUzfw2gY8eONG3alNtvvx3Q+h0RERERkdxEc9hEJDdJLbgxeZ8IpD+4Mblff/2VtWvXMnPmTP777z98Pp/VP2Lfl3279tpvyes65s+fnzJlytCrVy+/Wi2q6yiSuktdH7tu3ToefPBBqz/UHsDWs2dPXnrpJeDi/ZVbt25l3bp1jB49mri4OMC/7pJh73stXrw4bdu2pUePHkRERFj3Scm/w65du/jhhx+YMGEC8fHx1vpjs63atWszYcKEi9ZZEpGMsXHjRrp3705SUpJ13TDM+Efz5s1JTExk7dq1xMfHW8+bmmamtrS5RyhTpgzXXXcdjz76KNddd521vUv9vU9MTOTRRx9l1apVqdaHu5hLCW7Mnz8/48eP5/rrr0/38YlI+l1qcGO7du3o3bs3BQsW9NvOzp07WbVqFbNnz+bvv/+2nk8rwB6gdevW3HLLLXTo0IHAwMAUx3T8+HF69OjBrl27rO34fD66dOnC4MGDL+l72q87qnMiIiIi2UmhjSIiF2E6yX0+H3v27GHu3Ll88skneL1eaxAstYZm0aJFqVevHoMGDSJ//vwX3Mfff/9Nz549iY2NJSAgwBo8CwkJ4YUXXqBLly6Z/TVFJIcwE48gZXBj8iK9lxPcmHzg7++//2b+/PksWbKEHTt2kJCQYL2WVmij/XHJkiUpVaoUDzzwAJUqVaJkyZJX/kcQkUx1seBGcz9TrVo13n33XcqUKXPF+0wrsNE+EVJFwkVERHIm04bYsGEDzzzzDEePHsXpdOJwOPB4PNaE48GDBzN79mzr9z0jghvNhIHdu3en6IOx3yOYtlJgYCCVKlWiatWqFC9enIoVK+JwOAgMDOTo0aPs3r2bgwcPsnz5cnw+H2fOnLEmLNsXaTgcDrp06cJrr72W4phERERERCTns/crTp06lTfffBM4N5abJ08e2rdvz4svvphjghsXLFjAlClTrAXi9oUaPp+PvHnz0rFjR/r27UtkZOQlb98e3Ggf61FfrIiIiIhI7mTmYJj///LLLxw+fJiff/6ZY8eOcerUKWJiYggKCiIqKgqXy0WtWrWoXr069evXp3z58n4FsC7WHrhY0SsjtcXYKnYlIiIiIiIiIiIiIiLXuvQENkZHR1O2bNksG085fPgwU6ZMYdKkSQDW2hr7MdauXZuRI0ema42xGbeKj4/nzJkzfPXVV+zatYvFixfj8Xg4efKk9d7w8HAKFCjAjTfeyK233sott9xijVUpdEBEREREJHfQHDYRya1SC240QSP2a8qlBDcm78/Yv38/P/zwAytXruT333+3QtzAv45jcua18uXLU7JkSR544AEqVKhAsWLFMuCbi1zd7OfpZ599RmBgIN27d7/o555++mnmz59vfdaEqQH069ePRx991HqvqW3kdDpxu914PB6mT5/OTz/9xObNm60asubzJrg1+Wcfe+wxbr75ZurXr5/q8Sf/9+HDh5k2bRpTpkwhKSnJ71gLFy7MxIkTKV++vNYIi2SRiwU3RkVF0b9/fxISEti7dy9Tpkyx7i/sYWv2umwAwcHBdO3alQYNGtC8eXO/bV7s3Db3In/++SePP/44MTExVh19h8PBkCFDuPvuuy/63S4U3Gjqs5l6sZ9++imNGzdO759NRC7RlQQ3mmBYcz4nJiYyfvx41q9fz6+//mrtw4RBm8fmWhUcHMx1111H3759qVChAsWLF/c7pl9++YUXXniBuLg46/pQuHBhRo4cyU033ZQ1fyARERGRDKTQRhGRdEjeSbVo0SLmzZvHkiVLOHXqlDXIZg8tsA98PfHEE9SrV88a9LJvzzyePXs2AwcOBPALZ2vRogUjR44kX758mmQsks3sndvpGUC/3HPWPrkneXCjub5cSXBj8u9j9rlmzRq2bdvGhg0b+Oeff0hKSuLQoUMEBQVZnfnFixcnODiYunXrUr58eRo2bEiJEiUu+TuKSPa6UHCj0+m0JgVkRHDjhQIbzWMFNoqIiOR8R48e5aWXXmL58uV+E49vvfVWxo4dC8Crr77Kl19+aS1mAPwmCKU3uNHellq6dCnfffcd8+bNsybv2Ccomv2YQf8LTVKG830uAQEBKSZEwrk2T7t27Xj22WcBBTaKiIiIiORmn332GSNGjADw64fMly9fjgtu/OGHH/jss8/4448/gJTBjcWLF6dfv360adMm3ceaPLhxxowZLF26FIBx48bRqlWrFO8TEREREZHc4fDhw3z11VesXbuWFStW+L1m5rOatoMZVwEoUKAAJUqU4NFHH6V06dJUrlw5XftLrehVWvPozEJsFbsSEREREREREREREZFrXU4MbDT++ecfPvnkE7766isg5Zy18PBw+vbtS48ePaw6BxeS2rjR0aNHiY+PZ9++fVYtlsKFC1OiRAmCg4Mz54uJiIiIiEiW0Bw2EcmtUgtuTC0M9lKCG43kdSd///13du/ezerVq9mzZw/x8fHs37+foKAgvF4vDoeDEiVKkCdPHurVq0epUqVo1KgRhQoVyvgvLnKVsp+f06ZNY9iwYTz//PM8/PDDF/3stGnTGD58uF9Yo6nFCNCtWzfuvfdeSpYsSVhYGKdOneLUqVPMmDGDTZs2+QUf2eshme2Y2tQFCxakcuXKPPPMM9SuXdt6T3pr1W7cuJEXXniBPXv2+AUs+Xw+nnvuOR555JGL/6FEJMOkFdxoriVRUVE8/vjjtGnThoMHDzJx4kT++OMP/v33X6v2WWphaS6XC6fTyT333MOdd95J9erVCQkJSfe14tixYwwePJiff/7Zrz5cp06dGDZsWLq+W1rBjSEhIZw9exbwr1EgIpnnSoIbzWftfSHHjh3jxx9/JDo6mv379xMfH29dK8x5b65PHo+H/PnzU758eXr27Enz5s0JCgoCYNeuXQwaNIj169f79c88/fTTPP7446pdIiIiIrmOQhtFRC6BvdF3+PBh/v77b4YNG8a///7r19mVvOOrQIEC3HDDDfTo0YMbb7wx1e3t3buXN954g+XLl1sNX7OdAQMG8OCDD2bV1xSRZFLr8Dl8+DDx8fHs3bvXCh4LDw+nQIEC5MuXj8KFC6f4/KV0HNk7tl566SW++uqrCwY33nPPPXTt2vWSgxsh9QG7+Ph4EhMTOXToEHnz5sXn85GYmGgFNCYPWFGorEjuk1Zwo7lW2YMb33vvPUqXLn3J+0grsDEpKQmHw2FNcgQFNoqIiOQGS5Ys4dFHHwXSnmw8ePBgZs+ebb1mv8e43ODG/fv3s2rVKt5++21OnjyJz+fzmzRg/m/fl30Rh/2xPdTRPsER4I477uDWW2+lTZs2KT4rIiIiIiK5S/L2i2kPmPHXnBjcOHv2bCZOnMg///wD4NdH6vP5qFOnDh9++CGRkZHpHpexb/+XX37hs88+4/777+e2225L8bqIiIiIiOR8+/btY926dYwePZqYmBjreZfL5TfmYWefA2LGd0JCQggODubzzz+nXLly6dp3akWvzPbtc008Hg/FixcnOjqaIkWKaLxFRERERERERERERESuSakFNtrX1UZGRjJz5kzKlSuXbeMpa9as4YMPPmD16tXA+TlrZq5dpUqVmD59OhEREemea5beugqqTSAiIiIikjtpDpuIXA1SC240wUZXGtwIqfd7uN1uEhMTOXbsGHny5MHtduN2u61gWROCcqFtiIg/+3lp749t3bo1o0aNsgLQ0pKYmEiXLl3YvHmzX+iifS1ysWLFyJs3LyVLluTIkSMcPHiQEydOWNuwXz8AK+jI3J/UqlWLbt26cfPNN1OkSJHLXtM7btw4xo0bZ/3b7Kdz584MGTJEa4VFslhawY2mDn3+/Pl57LHH6NGjBwkJCfz777988MEH/Pbbbxw9ehQ4d/3wer0CbspSAAEAAElEQVR+4ypmO2XLlqVy5cr079+fQoUKERoaClz8fmTx4sU89thj1vbNPc1HH31E8+bN0/Xd0gpuBNWLFclqVxLcmNaY7bZt29i8eTMffPABBw4csO5/7Jka9kBrgDvvvJP69etz3333AfDVV1/x0ksvAeevNUFBQXz++edUq1Ytk/8qIiIiIhlLoY0iIlcoJiaGyZMns2rVKjZv3gz4BxLYA9ZcLhcvvfQSLVu2pGjRooB/AMCMGTMYMmSINfDvcDiswbTRo0dTr169bPueItcq00EVHx/Pf//9x5w5c9i2bRtLly7F4XAQHx9vvdd0loeHh3PjjTdSqlQp7r77bgoUKECBAgWs96W3czkrgxvtx2U/vos9Vke5SO6W3uDG6tWr8+67715ScGNagY1m8E6BjSIiIrlPUlISr776qtU2MZOEbrnlFgYPHkzJkiUB/+BG+4JtOHePkN7gxuT3Bbt27eLzzz9n5cqV7Nixw7pvsU98tAcyptb1bSYdmoH+0NBQgoKCePrpp2nevDnFixe3jlMTmEVEREREcq8jR47wxhtvsGrVKs6cOZOimBTkzODGTz75hE8//ZTTp0+nGIfxer107NjRWjh2OduPiYkhKioqxfMiIiIiIpLzLVmyhC+//JIVK1Zw+vRpa6zDvsA7tXES+32/fSH3HXfcwZAhQwgLC0v3MaRW9Cr5mExYWBiffPIJdevW1XiLiIiIiIiIiIiIiIhck1ILbLQ/LlCgADNmzMi2wEb73LE5c+bw1ltvcfLkSb8aBuZxly5deO211zTXTERERERENIdNRK5IajUMvV6vVfMsq6UW3Ji8DwcuP7jRLq1ajrpGiVw++7k0depU3nzzTeu1GjVqMHv27At+3vTL/vXXXzz99NMcOHAg1bAip9NpPWeYOkf26xicD2sDKFmyJI0aNeLll18mODg4xTGnl7lOLFu2jCeffBK3223t0+v1UqlSJb788suLBlSKSMa7WHBjREQETzzxBO3atSMyMhI416b69ddfmTx5snV9sddOSx6UVqhQIVq3bk3Lli25+eabrecvdA/xyiuvMGfOHL/6cC1btmTIkCF+dbEvxH69ev3114mOjmbMmDHcdtttKV4XkcyVEcGN5j328/bEiRPMnj2blStXsmrVKut5+zXJfm/jcDho2LAhvXv3pmLFiowbN47//e9/1md8Ph8PPvggzzzzDAEBAbovERERkVxDoY0iIlfANFrPnj3Lnj17mDJlCl9++WWqoQH2RuZtt91Gy5Ytad++PeAfzNa/f3++++47vzC2oKAgHnroIZ588klcLpc6pkSy2O7du3nvvffYsWOHXzBIYGAgPp/POoedTieJiYl+n42IiKBixYp06NCBFi1aULBgQYB0L6DI6uBGEbn2pBXcaO5zLie4Ma3AxqSkJBwOhwIbRUREcrHZs2czcOBAnE4nDocDj8dDREQEY8eO5cYbb7TeZw9uBPzCoX0+X7qDGw1zfxEfH8/p06f57LPP2LRpE7/++qv1HvvCDjORyT6Zydx/mPdWrFiRu+++mxtvvJGqVatar+meREREREQkdzPth2PHjjFkyBAWL17M2bNnc3Rwo32y9Msvv2wtkvL5fHi9XutxgQIFeP3112nZsuUlbV/tHBERERGR3O3rr79m9OjRHD9+3Gq32AvVmOfs81XNc/bxEtMuiIqKYsCAAbRp0+aSjyW1old2gYGB9O3bl9tvv52yZctewbcWERERERERERERERHJfSZPnszIkSMB/wARODePK3/+/HzxxReUKVMGt9tNQEBAthynfU7ZsGHDmDZtmt/aH/N/s7a4VKlSmocmIiIiInIN0xw2EbkS9j6FAwcOEBISkmZoUFYGGaYW3Jha7diMCG4UkcwxZcoUhg8fDpy7B/B6vYSFhTFnzhxKlChx0fM1MTGR7777jvfee48jR474BTcaPp/Pr45R8m0mD1m77777aNasGc2bNwcy5rq2Z88e7rnnHk6fPu13DOXLl2fu3LnZsi5aRC4e3Jg/f36rbVKoUCHrcytXruTnn39mwYIFHD161BqTsV+DzDZM26pPnz40atTIL7wxNV9//TUDBw602msej4eCBQvyySefUL169XRfk+zXmq1bt1KlSpUUz4tI1sio4EbD3ofj9Xr57LPPWLJkCb/99luKPh+zbVOjpXDhwpQrV46IiAjWrFlDbGys9Z4KFSowY8YM8ufPr2uFiIiI5BoKbRQRuULJG4Bffvklv/zyC4sWLcLr9aY5+BYREUGrVq146aWXyJs3r7WNv//+m5dffpnNmzf7BbNFREQwbdo0KleunKWDiSLXsp07d7J8+XLGjx/P8ePHrefNeZ3WbZTpLLef8wBNmjShfv36PPzww5d0HBcKbjQd6vbgxs6dO9OlSxcFN4pIumVkcOOFAhsBv8cKbBQREcmdHn/8cRYtWoTD4bDaPddffz0TJ04kLCzMet/rr7/OrFmzUgQ3wrl7hipVqljBjaGhoZd8HGfOnGHdunVs2rSJBQsW8N9//3HgwAG/tpIRFhaGy+WibNmyNGzYkOuvv56GDRsSFBRkvUf3IyIiIiIiVw/TTxkTE8PQoUNzRXCjfTH6/fffz7p16/wWaJj/9+7dmxdeeCHLj09ERERERLLHjBkzGDJkiPVvs/DRjNGYcZESJUpYc9YcDgcHDhzA4XCQlJRktYUCAgJISkqiY8eOVnGKy5G86JWZI2vmuwYFBdGrVy86d+5MyZIlr+Dbi4iIiIiIiIiIiIiI5B7r1q2jR48eAISEhHD27Fng/Hoan8/HI488Qr9+/XLEGhYzZy0xMZGHH36Y1atX+x2TmbP28ssv88ADD2TXYYqIiIiISDbTHDYRuRL2PpBPP/2U0aNHU6RIEa6//nqKFClCs2bNiIyMpGzZsuTJkyfF580awMyqvZpacKOpkWJ/rOBGkZzF5/OxdetW67wMDAzE7XZbfZoTJkzglltuSde2YmNjmT9/Ph9++CEHDx607i3MOmTTtwvnA6jNPYe5TkRERFCpUiXuv/9+WrdubW07o2pH79q1i7vvvtuvz9nlclGuXDm+/fbbK96+iFy+9AY3tm3b1i+0Oi4ujiNHjjB69Gi2b9/O7t27Af8xJVN32tyPFC9enDp16vD0009TsGBBwsLC/MLUzPXm0UcfZcmSJX51ZBs1asRHH33kV2/tYpLf8+geSCT7ZHRwY3K7d+/mr7/+4p133uHkyZOcPn3aqn1imO0nZ8/Q6NatG6+++mpGfW0RERGRTKfQRhGRDGIv3rl//37WrFnDsGHDiIuL82vUOhwOqwPe5/NRt25dunTpQqNGjShYsCCnT5/m008/ZdKkSXi9Xr+JCTfddBNjxowhPDw8O7+qyFXL3om0cuVKZs6cycqVK4mLi/ObmJP89sk+kGZ/zkge3njTTTfx4osvUrp0afLmzZuuY7tQcKO5pii4USRnsF9LEhMTCQoKyhUDTGkFNyYfsLtQcKMCG0VERK5upl2yYMECBg8ezLFjx4BzA/YRERG89tprtG7d2roHgvPBjSb4PiOCG1O7d/D5fMTGxrJr1y7i4+PZt28fLpfLmpRdoUIFoqKiCA8P95s4lF1hLCIiIiIikvlyc3Dj2rVrGTBgAPv370+xiCs0NJTo6GiqVq2a5ccnIiIiIiJZa9KkSbz11lsAVhvF6/Va8zGKFCnCvffeS4UKFahZsyZBQUHW/I5//vmH48ePM3v2bA4fPszff/8NQJUqVZg5cyZ58+a9oiIQqRW98vl8VuEJFb0SEREREREREREREZFrzZEjR5g0aRKfffYZ4F/Y36zXDQgI4Pnnn+eee+4hX7582Xi055jimrNmzWLUqFFWfRQ4XyOhTp06fPjhh0RERGRaQIKIiIiIiORMmsMmIlfCXhtkypQpVlirCXu1P65WrRpFixalatWq1K5dm8jISGrWrJnqdjN67V9awY0Oh8MKmwUFN4rkNF6vl3vuuYfNmzdbz5nz94033uDee+9N973GmTNn+PPPPxk6dCg7duzw257ZF5y7HzLXBIC8efNSunRpnnrqKSpVqkSpUqUy6utZ+3U6nfz555889NBDxMfH+9XELVu2LN99950VzCYi2eNyghvN+X327Fm2bNnCd999x+zZs3G73VYobPJwenPfVKZMGRo0aMB9991H9erVreMwdd9WrFjByy+/zOHDh616b1FRUQwbNozGjRtnWKCsiGStzAhuTP78vn37WLFiBd988w2//fab9bz9mpTaNsz1qUaNGgwfPpxKlSqpzSQiIiK5gkIbRUQyUPKG4LZt24iOjmbFihXs3bsXl8uF1+v1C0Hyer0UKVKE66+/nieffJLKlStz9OhRevXqxY4dO/wapAULFuT//u//aNeunRqdIhnMfk59//33jB07ln379uF2u61zN/l5Zx/0N/82nVPJgxzNv01nd7ly5WjXrh3t2rWjRIkS6TqnFdwokvPZz+WvvvqKw4cP061bN8LDw3PFb3dawY2mcz6t4EZz7UstsNHtdqcIb1Rgo4iISO527NgxHnnkETZt2uS3gLxt27aMHj0agKSkJAIDA4HzwY32heZXGtxodykTqs17dQ8iIiIiInJtyI3BjQAnTpxg6NChzJs3z6/dFRAQQGBgIKNHj6ZFixbZcmwiIiIiIpI1Pv/8cwYPHgycawuY+aY+n4+aNWty66230rFjRwoVKnTB7Zw9e5aEhASmTZvGxo0bueOOO+jQoYM1z+NKJC96ZW+7qOiViIiIiIiIiIiIiIhci2JiYpg0aRKTJk0CUh9DCQgI4IUXXuDuu+/OEcGNcO64u3fvzp49e6zaCnBuDXBERATR0dGUL18+m49SRERERESykuawiciVsNf0mDp1Km+++SZw7vw01xKn04nD4bACEu0BR4GBgVSqVInw8HAaN25MyZIlqVatGsWLF0913Z+99uPl1BJJLbgxeRgsKLhRJKfwer0kJSXRt29fli9fbtWBNWuGW7duzfvvv3/JwWSnT5/mo48+YvPmzaxatSrN9xUuXJimTZvSqFEjmjRpQp48eazXMuPaMGHCBEaNGmX921yXLvd7ikjGu5zgxuT3NEuWLGHdunXMmDGDuLg4AL8a9vaabQCBgYH07t2b+vXr06hRI2s7R44c4fnnn2ft2rV+9zGdO3dmyJAhmf/HEJFMkxnBjUby18ePH8/69etZunSp9Zy9Rj/g937z3NNPP80TTzyRQd9YREREJHMptFFEJJOYRubJkyfZvXs377//PitWrLBetw8YmktxWFgYr776KnfeeSebNm2iT58+xMbG4nK5rODGJk2a8MknnwCoY1wkg9g7hWbNmsWIESM4c+YMQKqd3Ya949oM/icPcXQ4HFagovkMnDt/8+fPT4MGDXjiiSeoUqWKghtFcrnUJgkVK1aMBx980Fo4lRsm2SQkJLBs2bJLCm4016bkgY0mpFGBjSIiIlcP8/u9cuVKnnjiCc6ePes3Meftt9/mrrvuAvzbL+kJbnz88cdp1qwZISEhGXKcZj8iIiIiInJty63Bjb/99htdu3a1jtF+rFoUISIiIiJydZs7dy4vv/yyVbTXXuzqtttu48knn6RMmTIEBwdfcB5p8nkZhw4dIjw83K8oxJVKXvQqeYEaFb0SEREREREREREREZFrTVrBjQ6Hw6pXkJOCG81401dffcWrr75qjffA+foKAwYMsNYPa62OiIiIiMjVT3PYRCSjTJkyheHDhwPnz1FIWRPE1HK011017zOv5c+fn+LFi1O2bFluuukmChQoQN26dQkKCiIsLMxvv+b6dSkU3CiS+0ydOpXhw4f71WL1+XzUr1+fadOmXdK2zHpic2+zfPlyYmJi+Ouvv6ww2RIlSlC9enUKFixIiRIlUnw2o5lrTP/+/fnuu+9S1Lt97rnneOSRRzJ8vyJyeS4nuBFS1pffvn07n376KX/99Re7du3yu08y1wCzTYfDQf78+bnjjjvo1q0bxYoVI2/evPz666/06dPHuidyu904nU7GjBlDq1atsvYPIyIZKjODG8H/vub48eMsWbKESZMmcejQIU6dOuV3TTH7cblcOBwO3G437dq146233srEv4CIiIhIxlFoo4hIFpo8eTLLli1j5cqVwLkOLnvD0gzud+jQgaZNm7J161Y+/fRT4uPj/QYQn3rqKfr27ZudX0XkqmHvLJoxY4ZV4NbewW0G4YwGDRpQvHhxmjRpQv78+a0B9VOnTrFmzRqOHj3KwoUL/RZN2Afx4HxR3YCAAMqWLcuwYcO4/vrr0xXGau+8GjBgAF9//bWCG0Wymf1aYp8kBFC6dGm6detGp06dck1wY2JiIkuXLr1ocGO1atUYPXo05cqV49dff6VXr15WYKOZYBQQEKDARhERkavQkSNHeO2111i0aBEBAQHWZJ6OHTsyaNAggoODrRD79AY3Vq1alcceeyzDghtFRERERESM3Bbc6PV6cbvdPPzww6xduxY436fq9Xpp3bq1taBcRERERESuLhs2bOC1115j+/btOJ1Oqx3g8/lo3749Q4YMISgo6JK2mdlzNJIXvbLPGVHRKxERERERERERERERuRbFxMQwefJkJk6cCKQeHBIQEED//v2t9cfZbcOGDdx///1+dRHM/++55x6GDh2a3YcoIiIiIiJZQHPYRCSjrF+/nu7duwNYdUlM7dXUJK/TaP5v6p3Zz2+jVKlSBAUFccMNN1CuXDkqV65MjRo1CAwMJDQ01O+9Zo3hhWo9phbcmPyaAgpuFMkpvv/+e5577jkAv/MwX758zJkzh5IlS17S+Zne89lcR7Li/N+4cSNdu3bF4/FY+zTBSOPHj6dhw4a6DonkIJcb3GiY68vp06c5fPgwEyZMYMWKFRw5cgTwD8FOXiu7SpUqVKtWjSeeeIKoqCiGDx/OnDlzrOuHw+Gga9euvPLKK/h8vovWvhaRnCuzgxuTv+eff/5h8+bNfPzxx+zcudOqzRIQEGAdj9frpUOHDowYMSLDv6+IiIhIZlFoo4hIFrAX8tyzZw8//fQTY8eOxePx4PV6cblc1v/NgGCVKlUoWbIk+/fvZ/PmzVZnlsfjoUqVKrz++uvUrl07e7+YSC5n7wCaOnUqb775JuDfCW3Oy+DgYGrVqkXHjh25++670xxwN9tctWoVO3fuZOzYscTGxgLnA0mS3375fD4KFCjAmDFjuOGGG644uNF0XCm4USTrTZs2jWHDhgFYwYU+ny9XBjcmJCSwbNmyiwY31q5dm27duvHiiy8qsFFEROQaM2vWLAYNGgScn1wcGBjI1KlTqVOnjvW+9AQ3msF9BTeKiIiIiEhmyW3BjXCuDRUdHW392+Vy4fF4qFevHhMnTiQoKEgLIkREREREriJHjx7lo48+Yvbs2VahF1O896677uLtt98Gcua8CxW9EhERERERERERERER8ZdacKPb7cbhcPjVFslJwY2PPvooS5YsscaiTI2T+vXrM2nSJFwul+asiYiIiIhcxTSHTUQy2siRI5k7dy7Hjh0DsOokmmuIuZ6k9n87+zXH1G417zXbM0FmkZGRREVF0bBhQwoXLkzDhg2JiIigQIECBAYGpjhGn89n1YKFc8GN3377La+//rrftdDsW8GNIjnHgQMH6NatGzExMdY9C5z7/Z8+fXqG1Gy2ry9OT53YjBQTE8OwYcP44YcfrGuRue5VrVqV//3vf5ccpi0ime9KgxuTW7VqFatXr2bChAlWMJq5H4KU4Y1RUVH07t2bvXv38t1333Hq1CnrHiwkJITPP/+cqlWr6v5FJJfL7OBG83n7++Lj4/niiy/49ddfWbx4sV8d/Hbt2vHWW2+lODYRERGRnEyhjSIiWSR5A3PVqlV88803LF26lOPHj1uD+vaJ1k6nk4CAABISEgD8BhKffvppHn/8cTVARS6T/ZycMmUKw4cPB1IPbAwLC+Ohhx6iRYsWVK1aNdVtpPXcnj17mD59OitXrmTnzp04nU6/or9wvoM7KCiITz/9lAYNGlxxcKMZUFNwo0jW+emnn3jmmWcACAoKIjEx0Roky63BjYmJiSxduvSiwY3mHsUeVBkYGKjARhERkSyQ2m9rZvcV2Pf59NNPM3/+fOD8goXGjRvz1ltvERkZaX1GwY0iIiIiIpIT5JbgRrOvCRMmMGrUKL9F7gB16tRh+vTp2RIkKSIiIiIiGc+0VVasWEG/fv04efKkXzugVatWvP3224SGhmZbqHx6JC96lXwenopeiYiIiIiIiIiIiIjItSa3BDea8apXXnmFOXPm+AUo+Hw+ihQpwrfffku+fPm0RlhERERE5CqkOWwiktHs14pRo0Yxa9YsYmNjAfzCi8z/7WEfLpfL+rwJVLSHPBr22qym9qI9tNUICwsjKCiI6667jvLly1O2bFluuOEGwsLCKFGihN97zfXw7NmzfPvttwwZMsQKbkzepwMKbhTJbomJiXTs2JGdO3da1wRzvr7++uvcd999ubZms8/n48cff2TkyJEcOnTI7/s5HA6eeeYZ+vTpk6PvzUSuZRkR3Jj8/P7tt9/4/vvvWbhwIfv37/e7LiRv+4SGhlKkSBH2799v3beY19q0acMbb7xBWFhYJv8VRCSzZUVwo2GuSSY89osvvuCnn35izZo13HbbbYwZMybFMYmIiIjkdAHZfQAiItcK+0Cfw+Hg5ptvplKlSrRv357hw4ezfft2AL/gRo/HYw0emo4wM4j40Ucf0bBhQ66//vps+04iudWlBDZGRETw+uuvc8stt1gdyubzqXUs2Z/zer2UKVOGZ555hpYtW/Lxxx/z66+/WsGNptPc6/USEBBAYmIiffr0YfLkydxwww0X7byyTyoYMWIEAF9//TVer9d6DbCKD8+aNQtAwY0imeS2226jbt26bNiwweoktp/He/fuZebMmQC5JrgxKCiIJk2aAFjBjXB+gpP9euhwOKyQRgU2ioiIZA37b+u6desIDw+ncuXK1m91Zg1a2ycuN2rUiCVLluDxeKw2yK5du9i3bx+RkZFWm8XefnnttdcArOBG0zYy3+Xvv//m448/BlBwo4iIiIiIZCjTXoqKimLgwIEAfsGNPp/Pes+pU6f45ptvALI8uNG0k86ePev37+RjxlpIJSIiIiJydXA6nZw4cYIRI0akKHZVs2ZNnnnmGUJDQwFydDvg8ccfB+D999/3mwtrHicmJjJ58mQAFb0SEREREREREREREZFrQlRUFL169QJg4sSJ1riJx+PxG08ZNWoUQLYGNwLUq1fPCm1Mvt4nKChIa4RFRERERK5SmsMmIhnNhHk4nU769+8PYAU3mudNnVU4V4sxNDSUvHnzEhQUxIEDB6zARjt7rUg785zH47FCHOHcuryzZ89y+vRpVqxYwYoVKwDImzcvAQEB3HDDDURFRdGoUSNKly5N4cKFKVCgACEhIXTu3JmAgAAGDx5MQkKCdcz268uAAQMA6NChg18tFhHJfB6Ph6CgIGrVqsXOnTut+rHmerBp0yaAXBcaZNYOHzhwgE8//ZRDhw5Z/bXm2hMSEkKDBg2AnH1vJnItq1WrFjNmzEgR3GhCpv/77z8++OADgDSDG5Of33Xq1KFq1ao8+OCDvPvuu2zZsoWdO3fidruta53H48HpdBIfH8+ePXv8xnrM9XHLli0cPnyYsLAwhauJ5HL2epM9evQAsIIbzfOmfRITE8PcuXMBLiu40VyTnE4nTqeT7t2706xZM/bv38+NN94IKLBRREREch/duYiIZDF7IzQqKoqbb76ZmTNn8uijj1oBjKazyx72ZP7v8XgIDQ0lMTGRDz/8kPj4+Oz6KiK50oUCG91ut9/j/Pnz89FHH3H77bdbgY1AujuTTCdRWFgYN910Ex988AF33XWXFXRmZzrOk5KS6Nu3L7/99ptfsGNa7OGMI0aMoEOHDtYkA5fLhc/nswoMm+DGzz//nMOHD6frO4hI+rjdbhwOBzNnzuTGG2+0fsvtv+EOh8MKbpwzZw6nTp1K13me3Uxw42OPPUaNGjX8riuA9W+v14vD4VBgo4iISBax/7ZOnjyZHj168OKLLzJ06FBOnTpltRMy617D7Ltdu3aUL1/ery9j//79TJo0CfCf+GNvv7z22mvcc889BAQEWMdpvpPT6bSCG014ioiIiIiIiFlgmVo7J/niywtJHtxowuLNdu39nya4ceTIkSQlJfm1azKTaSvt27cPwBpbMm2scuXKERQUlOP7l0VERERE5OJMe2b+/PkcPHjQKibjdDrJly8ft99+O2XKlMnmo0y/xx9/nGeeeQbAKkpjf2yKXs2aNYt///03Ow9VREREREREREREREQkS5jgxt69ewPnxk3MXDBTY8AEN5r1x1nNzJkzYzv2egg+n4/Tp09z6tQpzVkTEREREbkKaQ6biGQWp9NprcXr378/nTt3JiIiAvAP8zD1S4oWLUqvXr0YM2YMY8eOpV+/ftx0001Ur17dWkvndrut9X8mwMzUejPPmUAkEz5r6sO5XC4cDgcBAQHExcURGxvLwoUL+eKLL3jmmWfo0KEDXbt25cknn2T48OEsXbqUYsWK0b9/fwICAvzWMNqvLwMGDODrr7+2vov6T0SyhuljrVWrFnA+vNVcU44fP549B3YFTGBjYmIiAwYMYPPmzdb3dDgcVr3c5557jpo1a2bnoYpIOpjgxsDAQKtWK5AiuHHevHnpvmaFhIRQokQJRo4cyYgRI+jTpw+hoaFW/QR7cDZg1cE1HA4H//zzD59++imQ+4JtRSQlc/4D9OjRg27dulG+fHngfJ+PuRaY4MaJEydy7Nixy26/mM+UKFFCgY0iIiKSqwVk9wGIiFzrPB4PYWFhPPHEE9x55518/vnnzJgxAzjX0DQTrE0DNjAw0Apq7NKlC6Ghodl5+CK5SnoDG5OSkoiMjGTy5MlUrVo1Q4LGfD4fefPm5e233yYyMpKZM2da+zSD/KbjPDY2lldeeYV33nmHqlWrXnTbpkCwy+VixIgRAHz99dd+HebJgxvh3DWkSJEiV/S9ROQccx0JCAhg6tSpPPDAA6xZs8aaaGO/jpjgRoBOnTqRL1++HB9oaIIbAT7++GP++usvIOUEIXMNBQU2ioiIZKbkbZuRI0cCsH37drZs2cKaNWu47bbbuP3226lYsaL1uYwe0PZ4PISGhtK3b19efvllTp48aQU3rlq1ioULF9KiRQu/z9jbL4MHDwZg9uzZVvvIHnhtghsBK0RFRERERESuPaYtY18ccPr0aVwuFy6XC6fTaS1wTP6ZtCQPbgSs0HjT72neY4IbAV588UUCAwOtdk1m8Xq9xMTEsHnzZquNZBaIAhQvXhxA/a4iIiIiIlcB03ZZunQpp0+fBs6PpxQuXJgOHToQFBSUnYd4yR5//HEA3n//fWs+jdvttubHmaJXAJ07d6ZkyZLZebgiIiIiIiIiIiIiIiKZzgQ3AkycONFvDMX+eNSoUcD59cdZ7cyZM8D5Qpv2OicOh8OqXyAiIiIiIlcPzWHTHDaRzGSvMdK/f38AZs2aRWxsrLUG0NQZ+eeff/jyyy/JmzcvnTp1IjAwkB49ehAQEMCWLVs4evQof/75Jxs3buTIkSPs2LHDqt9oZ8JnTb+GPSDJ/N9e28QEOiYlJbF371727NkDwMyZM/H5fFSuXNkvsNG+1s9cXwYMGABAhw4dUuxXRDKHOc/Kli0LnL/emL7N33//nYMHD1KsWLFsPMr08/l81nd47LHHWLt2LS6XywqjNd+rSZMmNG7c2PqMrjUiOZsJbuzevTtJSUkp6k+b4EaAtm3bUqBAgQtuzz5WU7NmTWrWrEmjRo1Yt24dM2bM4L///gPwq5VgFxQUREJCAsuWLWP//v2UKFEiU763iGQtc747nU569OgBnGvP7Nq1y3re3DOY4EaA3r17U7BgwUu+p0jtvQpsFBERkdxIoY0iItnMdIIHBQVRsWJFBg4cSJ06dfjpp59YvHgxiYmJ1sBfUFAQiYmJAIwbN47mzZtn89GL5B4XC2x0OBx+gY0zZ86kXLlyGRZq4nA4rEkDL7/8MqGhoXz++ecpJg2YQf49e/bw7rvvMnDgQEqVKnXR7V8ouNHpdFoTBRTcKJJ5LhbcaL+eXE3Bjeb6FRgYqMBGERGRLJBW28YeGrJt2zZ27drFlClTePrpp6lTpw41atTI8AFts8i6cuXKlC5dmr/++gun04nb7SY2Npa1a9emCG00n7tQcCOcH5BXcKOIiIiIiDidTo4ePcry5cv5448/2LVrFzt37iQ4OJjQ0FACAwO5/vrrrUUFxYoV81useaHt5tTgRqfTyZYtW6yFo4C1+NPpdFK1alVA/a8iIiIiIleL5cuXs3jxYuB8WyU4OJinnnqKggULZtgctsyQ1rGlVfTKPFbRKxERERERERERERERyY3s88YudQ5ZTg5uNN/l2LFjwLm1P26325q/VqpUKaKiorLkWEREREREJOtpDpvmsIlkpvQENxo7d+5k8uTJeDwe7rrrLsLDwwGoWbMmDoeDli1bApCYmMhff/3FsWPHWLp0KYcPH2bHjh0cPXrU6tMw/Roul8uqA2mCjgzz2B7iaA9O83q9bNmyxVpraLZpXCi4MSdfO0WuBmZtbd26dSldujR79+71ey0pKcmvllFmSb7O93LX/TocDo4fP86zzz7LmjVr/AIbzfYKFSrEHXfcQbly5azPiEjOl9HBjeb+wtxr3Hzzzdx88820b9+ejz/+mE2bNrF161a8Xq91X+P1egkICCAhIQGAwYMHK7BR5CqT1cGNIiIiIlcDhTaKiOQApjFqGq9t27albt263HHHHQwbNozjx4/j8/mswMaxY8fSqlUrQIU4RdLjYoGN5rEJbIyOjqZs2bIZXmzXPmmgX79+5MmTh0mTJlmTBuznssfj4bfffuPrr7+mV69ehIWFXdL2kwc3mk5yM+hvghudTiedO3emaNGiGfY9Ra5lFwpuBP/r0dUU3BgUFGQNwCmwUUREJPOkp21jf8+pU6cYNmwYFStWpHnz5lbbIigoKEPbO6VLl+b+++/nxRdf9JtQPGXKFJo1a0aDBg1SfOZCwY32QBJQcKOIiIiIyLVs2bJlrFy5km+//ZaYmBjAf7KwCY7/+++/+eKLL6hSpQpVq1bl+eefp0CBAlbfbFpyanDjgQMH+OCDD/D5fAQEBODxeIBzizjLly/PjTfeCGhBlYiIiIjI1eKff/7xG+Px+XwEBwdTtmxZgBxRsMV+fPv37+fo0aPUrl37gseWVtErs7DcXvTqnnvuoVSpUpn/RURERERERERERERERNIptTWy9n8nnzuWnjW1aQU3ejweawwlO4IbXS4XZ8+eZeHChQBW7QMzjy48PJzExEQCAwM1b01ERERE5CqkOWyawyaS2dIT3GjO8T179jBt2jQA2rdvT1hYmHUNMNsICgqibt26AFa9s4MHDxITE8POnTtZv349R48eZd26dSQlJVn10QzTH2NC0UxfiAlxNDUb7cy/7TVRfD5fiuDGpKQkOnfunCOunSJXO6/Xi8fjIX/+/Ozdu9equep0OomNjWXDhg2UKlUqU+shmu1u3LiRatWqXXRds505rlOnTvHXX3/x7rvvsnHjRr/ARrPG2efz0a5dOzp27Oj3WRHJHTI6uBH822ler5fSpUszaNAgjhw5wrRp0/j55585fPgwHo+H0NBQ4uPjARg3bpzq2ovkYheqcaLgRhEREZFLo9BGEZEcxHSYORwOihUrRrFixahevTrTpk1j0aJF/Pvvv+rYErlE6Qk1CQwMzPTARsM+kPfoo4+SkJDApEmTSEhIsAbf4dz14OTJk3z33XfUr1+fm266KV3HdKHgRvuAmwlunDx5MklJSfTt25fg4OAM/74i16LkwY09e/Zk9erVBAQE4PV6rfMRzgc3+nw+OnXqRHh4eI7/fU8tuFGBjSIiIlnD/LZOnTrVr21jwjvg/G+wfVLvjh072LFjB2vXrqV+/frcf//9FC5c2PqM/f7kUpn9NW/enGbNmrF48WK8Xq91XN9//z21atUiJCQkxb2BghtFRERERCQ1Pp+PHTt2MHfuXCZMmIDL5fIrTAXnFzR6PB4cDof1nu3bt7N161Y2bdpE165dadWqFUWKFLng/nJacGNiYiJLlixh3759wLlJ0z6fD5fLhcPh4NZbbyVv3rxX1JYTEREREZGcwefzER8fzzfffIPX67XmlgE0btyYqlWrZvMRnh8LMmM2y5Yt4/PPP2ffvn307duX1q1bX/DzaRW9Mo8TExP59NNP8Xq99OzZk6ioqEz/TiIiIiIiIiIiIiIiIhdj5medPXuWs2fP8sMPP3Dw4EHWrVsHQEhICGFhYTRu3JjixYvTqFEj67MXm1OW04IbzfH+888/HDt2zKp7Yp+31rp1a4KCglKEFYiIiIiISO6mOWyawyaSlS4luHH37t0pghvNNpIz2yxatCjFihWjZs2adOjQAYB///2X+Ph4VqxYwZ49e9i8eTM7duzA5/MRFxfnV6/Ffnxm3SL4hzXar0fm32adowlDGjRoELfccgtFixZVDTaRTOZ0OsmTJw9NmjRh48aNAFYQK2Ct083sc/H3339n2LBhBAUF8eyzz1K5cmUiIiKsa5u9z9j+2OFwsHPnTmbPns3ChQvZs2dPisBG87hTp07WtVPri0Vyp8wIbjTMNSE0NJQyZcowcOBAWrduzYYNGxg/fjxxcXGAAhtFLiT572tOPEfMfcS+fftYvXo199xzT4r3KLhRREREJP0U2igiksPYG6Rer5fSpUvz7LPP0qFDB86ePUu9evWAnNloF8lpLjWwcebMmZka2GjYO6+efvpp4uPjmTx5Mg6HI0Ww4p49exg3bhw33XSTNYB2sXP/YsGNpkPe6/USFxdHvXr1FNgoksHswY1TpkzxC24E/+vT3r17iY6OBsh1wY1Op5N33nmHHTt2KLBRREQki3z22WfWfb69bWN+e+2/wWYSsGkH/P777/z+++/MnTuXRx55hOuvv54aNWpYkwQu5zfcvD88PJwbbriBxYsXW5OKfT4fixcvpk+fPpQqVSrVCX8XCm5MfkwKbhQRERERufp5vV5mzJjB/PnzWbt2LYA1ZmLCC+2LGeFcu8S+CNLlcrFjxw7Gjx/PX3/9RZ8+fahQocIF95sTghtNm+mff/5h5syZnDhxwlpsYdp/oaGhtGzZ0jpmERERERHJ3RwOh9XOgHNjO6YdULhwYSB7CyrY9/3333/zyy+/MHbsWOv1TZs2XbTgFaRe9Mq08cx+du7cyZkzZ1TwSkREREREREREREREcgSzzn/MmDHs2LGDrVu3pvq++fPnA9CqVSvq169Pp06drBCBC0kruNHtdmdpcKMJZoRzIQmHDx8GsNYjmfU9JUuWtJ4XEREREZGrh+awaQ6bSFa70uDG1Oqi2MPPwL9OSYkSJXA4HFSqVAmApKQkDh8+zKFDh1izZg3Hjx9n9erVnDx50uoXMf0h5lphrkMmBM7O7CsgIID4+HgA3nvvPYoVK5ZBfzERSY9ChQoB52stuVwu3G4327Zts57PrPqyBw4cYNasWfz5558ADBo0iDp16nD//fdTqVIlnE6n377N4zVr1rBlyxbGjx/PyZMncbvdfiGNZm2z1+ulbdu2DBs2LNO/i4hkvswMbjTMdaJ+/frUr1+fJk2a8PXXX9OoUSOaNGkCqF6sSHKmLXLkyBEOHjxIrVq1rN/inHKumHP733//5e677+bUqVMkJCTQvXv3FO9VcKOIiIhI+jh8ZqRIRERyDTVaRS7ucgIby5Url6WDUPZ9Pf/888ybN89vYN50YHk8Hh5//HGeeeaZy97+gAED+Prrr3E4HAQHB3P27FkAxo0bR6tWrTLwW4mInZmkB/gFN3q9Xus8N4PjpUuXpmvXrrkmuBEgISGBpUuXEh4eToMGDQDdp4iIiGSmrVu38sgjj3D48GEr1N38Z9gnEdsHzc1zZlJhcHAwBQoUoFu3brRt25aiRYtaISiX2iay//536dKF33//HafTaS3Obtu2LSNHjrTui1Jj3+/gwYP9ghsdDodfEGTVqlV57LHHFNwoIiIiInKVcbvdvPHGGyxcuJCYmBjg/LiOPajevtjIHt5oZ9o+TqeT0aNHc8cdd6TrGEwbKiYmhqFDh/oFN5r9m8WVefPmpW3btgwaNOiKgxtNX/Lp06d55JFH2LBhg9XuM2NFAM899xyPPPLIZe1DRERERERyplWrVtGnTx/gXJvEtGfeeecd2rRpkyPmYUycOJFffvmFDRs2AOfn3QF89tln3HTTTenazkcffcT7778PQFBQEImJiQA0a9aMrl270rRp00w4ehERERERERERERERkUuzfft2li9fzqeffsrx48et5wMCAqwi2YA1x8vM7woICKBChQoMHjyYKlWqkCdPnovuKyYmhsmTJzNx4kRrGyY4xMyfCwgIoH///pkW3AiwYMECBg4cyH///YfL5cLr9Vpz8+666y7efvvtTNmviIiIiIhkP81h0xw2kexgX4s3atQoK7gR8KuR4vP5KFu2LPfff/8FgxsvxqwbTC2I9sSJE/h8PjZu3MjOnTvZtm0b69ev5+zZs8TExPitYTShk6aOnOnDMdeksWPHcuutt1rHn93XT5FrxY4dO3jggQc4efKk1V/r8/koVqwY3333HXnz5s2U/SYlJTFu3DjGjx8P+Ne6DQ4OpmHDhlSuXJmSJUsSGhpKYmIif/75JwcOHGD9+vWcPn0awOqTBfyuOT6fj44dO1q1dBXYKHL12LhxY4rgRjhfIyF//vz07dv3soMbDXM/kpiYSFBQkN9zInKOaSPs2bOHjh07ct111/Hcc89Rt27dHBPcaO4B9u3bR7du3Th69Kj12iuvvML999+f6ufs7Z/p06dbwY2Qst0VFRVFu3btFNwoIiIi15S0q2SLiEiOpcaqyIVdLLDR4XBYA9yRkZFER0dTtmzZLB+EMgPvLpeLkSNHcuLECVauXGmFm9jDV9asWcP+/fspUaJEujut7NsfMWIEAF9//bUV2Dh27FgrsFEdYSKZw74gasqUKX7BjeDfgb13716io6MBsj240RxXUlISgYGBqU40gnMTAlq1auUXDqVriYiISOapUqUKjzzyCP/73//YunUrQIrfaJ/PR5EiRfB4PCQkJHDq1Cm8Xq+1aNu0ERISEjh48CCjR49myZIl1KpVi759+/pNMkzvb7sJEHG5XHTo0IEdO3YQFxdnTWLcsmUL27Zto1q1amneV9jbL4MHDwawghtNu8iEN/799998+umneDweWrRoQWho6GX9PUVEREREJOdwu908+eSTLF682HrOBMs7HA5rgYF9oZFhb7s4nU4cDoe1qKlLly40btw43cdhFl5GRUUxcOBAAL/gRp/PZ73nzJkzfP311yQkJDBkyBCCgoKs/uBLYdpsAE899ZRfYKO9wFezZs1o0aLFJW1bRERERERyvjNnzlhtH/t8MbMYOrvnYcTExPDDDz/w119/+bXPzNjTihUruOmmm9IcA7J7/PHHAXj//fdJTEzE6XRyyy230KNHD2655RZAc09ERERERERERERERCR7LVu2jBkzZrB69Wri4+OtMRHAmpdmmHBFM6cMYOvWrTz99NP07t2b1q1bU6xYsQvuLyoqil69egHnQkjs4zAmAMDtdjNq1CiATAlu3L9/Pz///LMVjOD1enE4HDidTgICArjxxhszdH8iIiIiIpKzaA6b5rCJZAd7jZH+/fsDWMGN5nw25+Lu3buZNm0awGUHN5rrgz2YxHw+f/78OBwOmjVrRrNmzQCIj4/n5MmTrF69mmPHjrFixQqOHDnC4cOHiY2NtfqJFNgokjMULFiQkJAQjh8/bt3TBAQEkJCQwOnTpzMttPGzzz7zC2y0r4lOSEhg0aJFLFq0KMX6ZDt7YKNZVw3nQqrvvfdeBg0aBHBZ65dFJOeqVasWM2bMSBHcaMaG/vvvPz744AOAKwpuNPcjpn1nf05E/AMb77//fuLi4li/fj2ffvopffr0oV69etke3JhaYGNgYCA+nw+3282wYcPwer307NkzxWftwfU9evQAsIIbk7e7YmJimDt3LgB9+vShQIECateIiIjIVe/Co0oiIiIiuVBagY1mAMrhcJCUlETBggWZPn16tgQ2GmaQLCAggMcff5yKFSvi9Xr9QkkA1q9fz8KFC/2eS+/2zfceMWIEd9xxB6CBfZGsZBZEwbnrUoMGDXC73VZAq1m85HA4rODGOXPmcPLkSatzPiuZjvO1a9fywgsvcPTo0VQH+Q379UPXEhERkcxjfou7d+9Oly5dqFixovV88t/ggIAAWrVqxb333ku7du0ArHATe+iJmYi3bt06Jk2aRJcuXZgyZQrbtm0Dzv+2p3UfYGfaU40aNSIiIgKv12s9t2vXLubNmwekDJlMvg3Tfhk8eDD33HOP32RB+wKPTZs28cEHH3Dy5MmLHpuIiIiIiORsbrebXr16sXjxYmtSr72dYyYL58uXjyZNmvDoo48yYMAABg4cyNNPP03t2rUpXbq01WYw/bF33nkn999/P2FhYZd0PMmDG5s1a0ZISIhfYKQ5vsTERL755hsef/xxzp49e1kLnpxOJ/Hx8Tz44IOsWrXKL7DRKFy4MHfccYfVFhQRERERkauH2+22CjPA+XGZhISE7DwsS1RUFM8//7y1ANwcnylCvHDhQs6cOXPRYlfG448/zlNPPQXATTfdRM+ePVXsSkREREREREREREREcoTvvvuON954g2XLlhEfH2+tc0m+7t/McTNjG2Ztjymke/ToUT766COmT5/Ovn37LrpfE9zYu3dv4Nz4kZlHZgpxm+DGOXPmcOrUqQz7zj6fjx9//JG5c+fi8/msMSvzfWrWrEnHjh0zbH8iIiIiIpLzaA6b5rCJZBd7jZH+/fvTuXNnIiIigPPXItMPY4Ibv/nmG06fPn3FtdlSq5tmtufxeAgNDaVIkSK0a9eOXr168dFHHzF79mymTJnCe++9x3PPPcdNN91EhQoVANV1FMlOXq+XyMhIrrvuOuB8bSOv18vx48dZt25dpuz3zJkz/Pzzz8C5Wkj2+kymtpM9MNZcF8xj+3GC/zWxYsWKPPXUU1Zgo+l7FpGriwluDAwM9Ksjlzy4cd68eRw/fjybj1bk6uR0Oq0wxCNHjhAcHAzA4sWLmTBhAuvXr7fu77O6NjSkHdjodrvxeDyEhIQAMHz4cDZt2pTqNuz1pHv06EG3bt0oX748kLLdFRMTw7x585gwYQJHjx5Vu0ZERESueuptERERkavS559/bgU2ms4kw+v1EhgYyKhRo6hQoQKJiYkEBQVl16FaA2bVqlWjRYsW7N69Gzg/KcgspPj8889p2rQppUuXvqTtmwE4l8vFu+++S58+fahevTqggX2RrGLO44CAAKZMmULPnj1ZvXq1NQBughIBK7gRoFOnToSHh2fZuWqOY/Xq1fTs2RM4dw156aWXiIqK8jtOERERyVpm0NvpdNK1a1cAZsyYwY4dO6znzT3D/v37Wb58Oc2bN+e5556jWbNmzJw5k02bNlmLxr1er9/nXC4X27dv57333uOTTz7hySefpEGDBpQvX95v2xfi8/koVaoUzz77LC+++KLfwvDZs2fTpEkTGjRocMFt2NsvgwcPBmD27NlWmy4wMJDExEQAnnzySYoUKXKFf1kREREREclObrebPn36sHbtWgICAqwFRaYN5PP5KFu2LHXq1KFPnz6ULFnSmuhs3H///Rw9epTJkyczf/58/vvvPxo0aECXLl0oV67cZR1X8uBGgCVLlhAfH+9XeMu8d8WKFXTr1o2hQ4dSoUIF6xjTakuZ5xMSEvjnn38YMmQI69ev9wtstE/c7tixI+3bt7/gNkVEREREJHc6evQoPp/PKszgcrlwu90kJSUB2d8G8Pl81K1bl06dOjF79my/wsMBAQEcOHCAdevW0bRp03Qfa9++fSlXrhx58+alUaNG1n7U1hERERERERERERERkewya9Yshg4daoWS2ItXmrUxZn2Nmddlimub95kxH5fLRWxsLLNmzSJPnjx07dqVAgUKXHD/JrgRYOLEiX5rckxxXhPcCOfWH+fLl++yv68Zm/nhhx8YNWqUVdPAjFl5PB6KFy/OgAEDrOdNgIuIiIiIiFxdNIdNc9hELpXpGzF9CCZ87HLOI3uNkf79+wPn+mliY2Otmihmmya4EaB9+/aEhYVl6LlrtpNaH4jL5cLpdFK1alWqVq0KQO/eva2QF1MbUtcSkaxn6iLWqFGDX375xS88ESAmJiZT9ps3b14+/vhjXn75ZRYvXmw9b65r9r5js17aHvZkv16Y+y+A1q1b06ZNG1q3bg2gvlmRq5wJbuzevTtJSUnWPVXy4EaAtm3bXnS8SUQu3eLFizl27JhV39D8ltt/3+vVq2fV/8iq+/0LBTaasd2zZ88C0K9fP6vWfGrsNSx79OgBwMyZM9m1a5dfu8vlcnH48GEmTZpE9erVadu2bZZ8VxEREZHsorQNERERuSrt2rWLPHnyEBAQQFJSUqodWtHR0ezZs4egoKAUg2vZIW/evNx7770UKlQIt9ttDY6ZAsWHDh3i33//BfAbcEsP+0CcAhtFsodZEAUwZcoUGjRoYC3SMh3YDocDh8NhBTfOmTOHkydP+hXnziz2wEazsMvlcvHLL78wdOhQjh075rfITERERLKe/be4a9eudO/enYoVKwJY9xJwbiLwv//+y7x585gyZQrNmzdnzJgxjB49mooVK5InTx6/EBAzEdrpdJKQkMCxY8d4/fXXefnll3n33XeJj4+32iUXuhcw+69evTq1atXyez4uLo7ffvvtotuA85MPAQYPHsw999xDQECAX2DjuHHjaNOmzSX/DUVEREREJOfweDz079+fX3/91QqXB//AxltuuYX/+7//45VXXqFChQoEBgZan4VzYx1hYWGUK1eON954g5deeokHHniALl26cMMNN1zR8dmDGwcNGkSrVq2shZxwvg1kJjRv3ryZZ599lujoaHbu3On3HlM4y3A4HOzZs4fo6GheeOGFFIGNZpGYz+ejS5cu9OvXD/Bv+4mIiIiIyNUhJCQE8G9jAOkeV8lsDoeD4OBg6tWrZy38Nm0Wt9tNfHy8dayX0l5p06YNTZs2BTSPTUREREREREREREREsteMGTMYNGgQCQkJVkFKn89nzekya4MLFSpEmTJlqFChglXHwD6XzdQG8Hq9uFwuTp48yYwZM/jll19ISkq66DphE9zYu3dvACu40RyDPbhxzpw5nDp16rK+r5mHtmzZMp5//nm/wEbzelhYGB06dKBs2bJA6mEFIiIiIiJyddAcNs1hE7kYe+gYYNUpgfNhhuZ541LqpdlrjPTv35/OnTsTERGR6j5NcOM333zD6dOns6Q2G5wPhTNM/4/D4aBUqVKAriUi2cVcJ8qXLw9gnZvmfFy7di2A3xrfjFKgQAE+/vhjHnzwQUqWLGntJyAgwDqG1K5T9mAk81pwcDCvvvoqAwYMsAIbzbVGRK5uJrgxMDDQr5ZA8uDGefPmcfz48Ww+WpGrT/Xq1cmbN6/1m2z//V28eDETJkxg/fr11v1+VrQ/0hPYaMaw+/fvz6OPPmode1rsNSx79OhBt27drPsnU4/afLc2bdoosFFERESuCQ5fVtzdiYiIiGSD9957j+joaGJjYwH8On98Ph9BQUE0bNiQgQMHUrJkSauDKLuY/X/77be89NJLuN1uq7Pc6XTi8Xho0aIFY8eO1eCZSBayF+D2eDw4HA7renI5E2TMwiiAnj17snr1agICAvB6vX4d1T6fj9KlS9O1a1c6depEeHh4pk3KsQc2Pvjgg9Y10oQihYWFccMNNzBkyBAKFSqU4fsXERGRS2Nvu0RHRzNjxgx27NgBpGz3REZG0r59ex566CEKFy5MTEwMixYtYsGCBSxZssSaAGBfXG1C381rtWvXpkWLFrRr146iRYumehzJffzxx7z33nvA+fDq8PBwZs+eTenSpdP1Pc2kAYAhQ4YwY8YMAMaOHcutt95qfUdNWhYRERERyX18Ph9jxoxh0qRJfsWo7IGNbdq0YeDAgRQoUMD6TFr3//b2w/Hjx9P1mfQybZ/jx4/z3nvv8fPPP3PixAlrsZR53fQhh4WFERUVxcMPP0ylSpX8Qu0B1qxZw549exg/fjz//fcfp0+f9gtsNMfr9Xq56667ePvtt1N8RxERERERuXqsWrWKhx9+2ComZcZnGjVqxMSJE7P78Pw8+OCD/Prrr36FdtxuN7feeitjx45Vu0VERERERERERERERHKdqVOn8uabbwJYa2vshS5DQ0Np3LgxzZs3p2HDhkRGRuLxeDh48CBHjhxhwoQJbN26laNHjwLnxk9MsUtTH6BIkSJMmjSJChUqpKueQUxMDJMnT7bGisyxmCLeZp1y//796dSpE/ny5Uv39zX7//XXX+nVqxc+n88q8Gk4HA4aNmzISy+9RIUKFS7p7ykiIiIiIrmP5rCJSFqS92McPnyYY8eOceDAAf7++2+SkpKIi4vD6XRSrFgxoqKiqFq1Kvny5aNIkSJ+20rPOj/7OTxq1ChmzZrlV0PSbMfn81G2bFnuv/9+2rdvT1hYmGqPiOQimXW+xsbGcuedd1p9tUa1atWYNWtWptwj2K9bixcv5tdff+Wzzz6z+nTtfbtmHbK9LxagdOnS3H777bRo0YLatWtbz+u6JnLt2bhxI927dycpKcmvjpxp9+TPn5++ffvStm1bq5aCiFy5w4cP065dO6vtAVi/3aYuY7NmzejTpw/16tWz+k0y63f6QoGNcP6aAOcCG/v06QNcuCaknf1906dPZ+bMmezatct6vX379owcOfKStikiIiKSWwVk9wGIiIiIZDTTufTss8/i8/n4/PPPiY2N9QtDczgcJCYmsnLlSoYOHZojghvNfitXrkyRIkXYv3+/1UFnFmccOnSIs2fPkjdv3mw5RpFrgbkO2AttG/YBd/vzl9Jhbh9InzJlil9wY/Jt7d27l+joaIBMC25MLbAxMDCQxMREHA4HAQEBnD59miVLlnDw4EGFNoqIiGQS8xufnt96+71K165dAazgxuRtmhMnTvDtt9/i8/no1asXRYsWpVOnTnTu3Jnp06ezcuVKFi5caA3Am22b8BGA33//nb/++ouZM2fy1FNPUbNmTSpXrpxq28kcf69evVixYgVr16617n1OnjzJ1KlTeeGFFwgODr7o38Tlclntu0GDBpGYmEjTpk1p1aqV375ERERERCT3WbRoET///DMJCQnA+UnLJrCxY8eODB8+3O8zF7r/N6GHDocjQwMb4Xw7qUCBAvTr1488efIwf/58Dhw44Pe6+Q6nT5/m9OnTvPLKK+TJk4cyZcoQEBCAz+cjKSmJnTt3WoW9nE6n36IJc9w+n48OHTowYsQIQIGNIiIiIiJXMzOPBPAbn9mwYQMbNmygbt262Xl4wPl2SoUKFfj111+tdpBZeLpt2zYSEhLSNf4jIiIiIiIiIiIiIiKSU0yZMsWap2YCG81jt9tNeHg4L730Eg0bNvQLGvB6vZQvX57y5ctTu3ZtfvrpJ+bOncuKFSusuV5erxev10tAQACHDx9m8ODBfPzxx+mqERAVFUWvXr0AmDhxol9xb4/HYz0eNWoUDoeDu+++O13Bjfb1xKkFNpoCn8WKFeOJJ55QYKOIiIiIyDVCc9hEJC0+n4/9+/ezePFiNmzYwJo1a1KEoSUXGhpKSEgIt956K6VLl6Zjx47kzZuXkJCQi673s9cY6d+/P4AV3Ji8Htzu3buZNm0agIIbRXKw1M5L8+/k9R6vhMfjITAwkIIFC3L06FGrj9bpdHL8+HEOHjxIyZIlr2gfqbHvp1mzZjRr1ozWrVuzadMmvvvuO/777z/+/fdfK6wxICCAPHnykD9/fho2bEjlypXp0KEDYWFhfuG09nsyEbl21KpVixkzZqQIbjRjQ//99x8ffPABgIIbRTKI1+slIiKCEiVKEBsba5135twzbZTFixdbn8nM4MbMDmwE/xqWPXr0wOFwMHPmTHbu3Mmdd96pwEYRERG5pii0UURERK469kH3fv36AeSa4EaAKlWqcOutt/LZZ59Zk4KMzZs389tvv3HLLbdk09GJXL3MuW/O/6NHj3Ls2DEOHDjA33//TVJSEnFxcTidTooVK0ZUVBRVq1YlX758fout4OLFwC8U3GgWYpnjyMzgxrQCG00nfEBAAElJSQC8//771KpV64r3KSIiIinZf9tjY2PJnz//RQM50hvc6HA4OHbsGPPmzQOgd+/eFC5cGIAePXrQpk0bfv/9d8aNG8ehQ4c4fvy4FXZiPm8cOnSIwYMHU65cOe666y7uu+8+8uTJYy1Md7lc1vtdLhc33XQT69evt8Lo4dzijDNnzhAcHJyutpe9fTdkyJBU/2YiIiIiIpL7/Pzzz+zYsQPAWixpAhvvvPNOqxDWpYzZpLVwKyOYNlhkZCR9+/alePHifPXVV2zZsgU4v7DKtFXMZOezZ89a70l+TOYzZvum3eR0OunWrRuDBg0CsPqSRURERETk6lSuXDnKli3Lvn37rHaFz+cjPj6ebdu25YiCV6boQ6tWrfjiiy+sY4RzbZuzZ8+SlJSkglciIiIiIiIiIiIiIpJrpBbYaNbYJiUlkT9/fsaOHUv9+vWtz5j5YWZOm9frJSQkhDvvvJMqVaoQGhrKggUL/Ap4ejwenE4n27Zt4/vvv6dz587pmhd3oeBG++O3334b4KLBjWmtJ05KSvKb8xYYGMjrr7+eI8aoREREREQka2gOm4ikZvny5axatYqvv/6aY8eOAefXxgUGBlrXC9PHYfpDkpKSiI+P53//+x8A3377LRUrVqRnz55UqFCBvHnzAmmvG1Rwo8jVw34+fvbZZ2zdupWiRYvSoEEDSpQoQZEiRQgKCvLrb00eXJheLpeLPHny0KJFC/7++2/reY/Hw6FDh/jnn38yJbQRSHEtq1OnDnXq1KF79+6cOnWK3bt34/F4OH36NKGhoRQpUoS8efP6ha2ZtcaQsWujRST3UXCjSNZyOp2EhIRQo0YNNm/ebPU3mFBGr9ebZcGNWRHYaP/e5nPdu3fnzJkzxMbG8sILL1z2NkVERERyI1V1ExERkatSbg1uNPu94YYbmDZtGg6Hw1rkYb7TyZMns/y4RK4FPp+P/fv3s3jxYjZs2MCaNWs4evToBT8TGhpKSEgIt956K6VLl6Zjx47kzZuXkJCQKwpuNMdjPp8ZwY0XWmAF+D0eO3Yst956a4rjEhERkStn/2395JNPeOedd5g7dy6VK1fOkOBGs/2YmBgruLFPnz4UKlQIgMjISFq0aEHVqlXZtGkTU6ZMYf369dbEAbPw3EzaSUpKYtu2bYwePZqVK1dSt25devXqRVhYmHVc5r1dunThyy+/ZP/+/dZ2Nm/ezKeffsqLL76Y7jZXan8D3Y+IiIiIiORec+bM4auvvgKwQuPNIs1bb72VoUOHAly0TZTVTBsrX7583HvvvZQpU4YpU6awcuVKa0GUmVjtdrtTnWSdfII2+E+OLl++PHfeeSdPPPEEcL59JSIiIiIiV6+oqCgKFSrE7t27rfaCmSf2ySefcPPNN1OmTJnsPkzg3LiS0+kkMTHRaut4vV6OHj1KbGwsefPm1RiOiIiIiIiIiIiIiIjkeMkDG838LbOuNjIyksmTJ1O1alW/zyUfBzHrYlwuF1WrVuWxxx4jPj6eFStW4PF4/MZTYmNjWb16NZ07d073epqMCm68WGCjWS8E8N5779G4cWNA64lFRERERK4VmsMmInZbt27lm2++YfLkyda6N1MvxNQ4Mf0I4B805vF4AKxgRa/Xy9atW9m6dSsLFy6kXbt2tGjRgqZNm16wf+RyghsdDgft2rVTcKNIDmE/D6dNm8aIESOs1z777DOcTicVK1akevXqlCtXjkaNGpE3b16KFCkCnO+LNdtJ73rjokWLAuevTeb6dfz48Qz9fhdjrlXh4eHUqlUrxesmfNp8P4UiiYhdeoMbnU4nd9xxh4IbRa6A+c0uXLgwcK4tY9o19vdkdnDjhQIbTS3IjApsNOw1LB955BHreQU2ioiIyLVEdz0iIiJy1TIdWgD9+vWjS5cu5M+fHzjXAWQ6tOzBjUOGDGHfvn1Wx1FWM51S9erVIzw83OocM8cJsGPHjiw/LpGr3fLly3nnnXe49957GTJkCPPmzSMmJgY4t8jK5XLhdDoJCAggICDAbxHSiRMn+N///seoUaN46KGHeOWVV9i4cSNxcXHW9tO6ntg7vqdMmUKDBg1wu91+k44cDgcOh8MKbpwzZw4nT560Oucvx8UWWCmwUUREJGvYf1unTJnCO++8A8CDDz7Ijh07/No0abG3Xbp27Ur37t2pWLEikLLdY4IbJ0yYYIVTm3DG4sWLc+uttzJ9+nQGDRrEHXfcAWC1ScxEAnMfBLBq1So++OAD7r33XubMmcP27duB86ErBQsW5MknnyQ0NNTvHmf58uVs2rQpI/+UIiIiIiKSSxw6dIjvvvsOONc/asIafT4f119/Pc888wwhISHWAu/MYA9MTO5ibTDTLxsSEkLjxo15++23uffee62+WjPh2r4gzP6fec70+zocDquP+LbbbqNfv35+gY05KbRSREREREQynmmbNG7cGIfDYbUBzLyOU6dOsXz5cr/3ZqeoqCgKFiyYYu5IQECANT4kIiIiIiIiIiIiIiKSk6UnsHH69OlUrVr1ksdnrrvuOjp16kTx4sWt58yaHIAFCxawYcOGS9qmCW586KGHAKygBDP3zB7cOGfOHE6dOuW370sJbBw7diwtW7a0Pqv1xCIiIiIiVz/NYRMRw+v1MmPGDIYPH86kSZOs9XD20BL7dSB5yJj9vDShQub5gIAA4uPjmTNnDv369WPMmDEcO3bM7/3J2eut9O/fn86dOxMREeF3HGZ9nglunDt3LqdPn76i2mwicuWS11MaNmwYAEFBQTgcDpKSkjhz5gwbN25k5syZDBs2jE6dOtGhQweef/55hg8fztKlS9mxYwdnzpwBsO5R7Ot0UzvPmzVrRvHixa3rgFnDvHLlSutxVrhY0JG9HpSISGpMcGNgYKBfHTl7cOPIkSOZO3euX6C2iFwac241bNjQGoO1P2+vFWLuRxYvXsyECRNYv369dd9zJfcYpq7Iv//+myKwEciUwEbDhMIa9rFtERERkWtBQHYfgIiIiEhmMoPuLpeLfv36AfDFF1/w33//WZ1LpoMrMTGRVatWMXToUAYOHEipUqUypAPqUrndbkJDQ4mIiODEiRNW55uZPGCfaCAiV2br1q188803TJ48GZfLZS1Q8ng8VgCSfRDKPmnInJP2gMWtW7eydetWFi5cSLt27WjRogVNmza94HXEdIAHBAQwZcoUevbsyerVq60wJPvkAxPc6HA46NSpE/ny5bvkhU+XusBKgY0iIiKZI/kEQ7PgOzQ0lOPHj9OtWzdmzpxJxYoVLxrUYe5bnE4nXbt2BWDGjBns2LEjRbvHBDcC9OnTh0KFClkD5mY/3bp1o0uXLrRs2ZIvv/ySTZs2ERsba7Wv7Nt0uVzs2rWLN998k4IFC9K7d29atGhBoUKFAKhSpQolSpRgx44dVttm+/bt/P7771SvXj3T/r4iIiIiIpIzHTx4kD///BM41wYxk3bDw8Pp0KEDpUuXBjJ2oVHyvk2Hw2GF0h87doyEhATy5ctHWFjYRT9rPzan00nBggV54403qF69OosWLWLx4sXWhGfTd2xfmGr6oc3/g4ODCQ0NpV+/fjRt2pSiRYsC58MfRURERETk6mbmk9SrVw+fz4fb7fZb7Hjq1Cn+97//0aFDB/LmzZstc9nsAgMDUywkDQgIIDw8nPDwcC3KFBERERERERERERGRHC15YKOZ12UPbIyOjqZs2bIXXcuTGpfLRYsWLZg3bx4HDhyw1vuYYrpJSUkcOnToko87KiqKhx56CIfDwcSJE/3WQpvivG63m1GjRgFY64+BVNcTu91urScWERERERFAc9hE5ByPx8Orr77KwoULOXHiBHC+LprpI7CvizPrAi8UtmgPOTHXFo/HQ1xcHB9++CE7duygU6dO3HLLLbhcrlSvL/Yakv379wdg1qxZxMbGWu83+/nnn3+YNm0aAO3atSMsLEx9HCLZwH7eTZ061a8/1vRFmjW49utLQkIC8fHxVk2k6OhoXC4X5cqVo1KlSpQrV46GDRuSP39+SpcunSIo1twfBAcH+92zmOvU8ePHdZ8gIrmOCW7s3r07SUlJfnXkABITEylbtiyBgYHZfKQiuZc5nyIjI63a7+a+IiAggAIFCnDkyBHr3sK0URYvXmxto169etZnLqf9YQIbO3XqRGxsrF9go2mHQcYHNhrJa7GIiIiIXEscviuJ3xYRERHJJewLI959910ruBHwG1Dz+XwEBQVx8803Z1two+lkM8FtpuPNdMx17tyZIUOGZNnxiFyNvF4v0dHR/Pzzz/z666/Auc7o1CYCmXPSBDNCyo5ke+e4PfwxKCiIBx98kO7du1OwYMEU77UznwH8ghu9Xq/fhACfz0fp0qXp1q3bJQc3phXYaDrhtcBKREQka6QV2GgmLZvF3uHh4ekObgT/QfTo6GgruBFStnuioqJo27atX3Bjar/3Bw4cYPfu3YwePZp9+/Zx8uRJwP/eyX6fBNCoUSPq1q3LY489hsvlYtasWQwaNMjvO0ZERDBt2jQqV658JX9KERERERHJJcziyldeeYW5c+daBaPMYsuqVasyefJkIiMjM3S/pp3k9XpJSEhgyZIl7Nq1i8WLF3Pq1CkOHTpEfHw8UVFRFChQgEqVKnHbbbdx/fXXWwGKF2qP2V87evQoGzZs4JNPPuHEiRMcOHAgzeMKDQ2lTJkytG/fngYNGlCtWjXrNfXHioiIiIhcm/r378+8efP8CkqZNlP79u0ZOXIkkL1thv/++49OnTqxf/9+v2I6UVFR/Pjjj4SFhWXLcYmIiIiIiIiIiIiIiFxMaut3wD+wcebMmZQrV+6yAhvh/Hy1jRs30qtXL+Li4qxxH1MnoEePHgwcOPCyxnxiYmKYPHkyEydO9PseDofDb21z//796dChA/nz50+xnjgpKUmBjSIiIiIikirNYRO5Nrndbp5++mkWLlxoPWevT2IPCYFz/RH58+cnJCSE8PBw4uLi8Hq9HDhwwO99JojR1CNJXp8N4LrrruPWW2+lT58+BAUFpdknY39+1KhRVnCjOVbAqn9Srlw57r//fgU3imQze39scHAwiYmJANa1xX6/Yc5R+2+7uVbY3xcYGEhAQACNGzemSJEitG7dmoIFC1K2bFm/8/zdd9/lk08+sZ7zer0ULFiQL7/8kqioqMvq+xURyU4bN260ghuDgoKsa+q4ceNo1apVNh+dSO7n9Xpxu9106dKFLVu2WG2YkJAQbr/9dlavXs3BgwcBrOB4j8cDQLNmzejTp88VBTcmJiYybNgwvvjiC+B8WyorAhtFRERErnUB2X0AIiIiIlnBLGRwuVz069cPwApuNJ1NpmMrMTGRVatWMXTo0GwJbkw+cJj8+aCgoCw5DpGrlcfj4dVXX2XhwoWcOHEC8F+YBOcn9phrR2phjuZ9Ho/Hb6Df7XZbEw7j4uL48MMP2bFjB506deKWW26xOsCTX1PMMQQEBDBlypQUwY32z+zdu5eZM2cCpDu4UYGNIiIiOceFAhsdDgdJSUkEBgZy8uRJunXrxowZM6hUqdJFF32bIBKn00nXrl1xOBzMmDGD7du3p2j3xMTE8N133wHQu3dvChcu7Pe7bx4XL16c4sWLU6tWLRYsWMCiRYv46aefrGBpE7RiX+C9YsUKVqxYwdKlS+nSpQs1atSgbdu2zJs3z7rHSkhIYNmyZVSuXPmyF7OLiIiIiEju4XA4CAwMZP/+/QDWJGTTrnjmmWeIjIzMkPGY5H2aR48e5eOPP+bvv/9m/fr11vNmQjScW7QdExPDtm3bmDdvHjfccANNmjThkUceuWB7xQTaOxwOChUqROvWrbnxxhuJi4vjhx9+IDY2lj179pCYmIjL5aJYsWKULl2aypUrU7duXb8xH7Md9ceKiIiIiFybqlWrZo3dmEWapp2wfPly/ve//3HvvfdmW5vB5/OxZ88eDh8+bD1nxoZKly5NYGCgxnxERERERERERERERCRHSmv9jllXGxkZSXR0NGXLlr2i8Q6zbqdAgQIEBwdz5swZa2zHzJk7dOgQkLKOQHpERUXRq1cvACZOnGitSXa73X6PR40aRb58+ShQoABPPPGE1hOLiIiIiEi6aA6byLXH7Xbz4IMPsm7dOr+gRsPUUwsNDaVu3bo0aNCAmjVrUqVKFQBCQ0OtPo9du3Zx+PBhFi5cyMaNG9m5c6e1DVOXBM4HMHo8HrZs2cKhQ4c4duwYL774YprBjfYakv379wewghvNekRzbfrnn3+YNm0agIIbRbLJkiVLGDNmjPXvhIQEwL/OYvLajeb/5h7E9OHa60J6PB6SkpKYP38+cO464HQ6ufHGGylXrhzNmjXjuuuuo0KFCinqRh47dozjx49TpEiRLPkbiIhkpFq1ajFjxgx69uxJfHw84B/YqHsdkSvjdDoJCgqidOnSbN682XouMjKSjh07UqRIEebMmUNMTIzV/jD3JosXL7a2c7nBjUFBQdx5553ExcXx/fff4/F4CA4Otu6hFNgoIiIiknkU2igiIiLXjNwS3JiUlITH4+Ho0aPA+QlMZsJBcHBwph+DyNXK7Xbz9NNPs3DhQus5E7BoDxoyC48cDgdRUVGEhIQQHh5OXFwcXq+XAwcO+L3PHsRoAozg/ASB+fPns2/fPjZt2kSfPn3SnBx0oeBG8B8Qu5TgxrQCG5OSkvwWloEWWImIiGSVadOmpbrg23C73VZwY/fu3S8ruLFLly4AaQY3Hjt2LM3gRvuxeL1ewsLC6NChAx06dGD27NksW7aMhQsXWvcQDofDb/tOp5M//viD3bt3U6hQIfLkyUNISAgJCQn4fD7Onj3LN998Q48ePQgODtZ9h4iIiIjIVc7n87F9+3ZrkrIZ+/B6vQQEBFCsWDGrLXEl+7C3Z/766y8WL17MV199ZYVFwrk2mOnHNZ9J3ke8bt061q1bx9atW3nxxRcpXLhwmvtN3paJjIwkMjLSmvhs+nxTa/fY23hqE4mIiIiIXJtMW+Ghhx5i2bJlrFq1yu81n8/HsWPH+OGHH6hcuTK1a9fOluN0OBz8999/fmNaZj5bnTp1NKdNRERERERERERERERypKwKbDQcDgclS5akVKlSnDhxAjg35mPqHJw4cYKEhASCgoIyNbjx1VdftebJ2QMbzdpi0HpiERERERE5R3PYRK5Nbrebxx57jHXr1lnr7QC/GmrFixencuXK9O3blzJlyhAeHu63DXtdxho1alCrVi1atGiB2+0mOjqaDRs2MH/+/BR12jwej7WfEydOMGfOHE6ePMnQoUMJDg5WcKNILlenTh3mz5/P5s2bOXjwICtWrGDv3r0cPnyY48eP+9VphHPXHXstSDgf5GiuTR6PJ8UaZNMnunjxYhYvXsznn39Onjx5uO6666zter1eq090586dXHfddQp5FpFcqVatWkyaNImuXbsqsFEkg5n2RIUKFQCsmiMHDx4kJiaGJ554gqSkJL799luOHj2aocGN5n3169cnMDAQj8fDggULFNgoIiIikkUU2igiIiLXlNwQ3BgYGEhMTAyHDx8Gzg8amk67EiVKZOr+Ra5WbrebBx98kHXr1lnnup3P58PtdhMaGkrdunVp0KABNWvWpEqVKgCEhoZaE/V27drF4cOHWbhwIRs3bmTnzp3WNgICAqz3meuNx+Nhy5YtHDp0iGPHjvHiiy9eVnCjmWhwKcGNaQU2molMCmwUERHJHrt37wbwu3cwzG9wdgc32rcH5+8r7rnnHlq2bEmXLl1477332L9/PzExMX4TBcz/Y2NjiY2NTXGMLpeLbdu28eGHH/Lss8/qvkNERERE5CrncDg4e/Ys8fHxVpvBKF++PFWrVr2i7dvbSTExMSxcuJAxY8Zw6tQpEhISrLaXCWg0+09+LG6322oD+Xw+5s2bx8mTJxkwYIA1yfpS2UMZk7e3tLBLRERERETsbYWOHTuybds2jh07ZrUdzLjPqlWrKFasGKVKlaJgwYJZeoxerxe3282PP/7od0xmPlulSpUAzTUREREREREREREREZGcJasDG+H8eInX600xPw3O1RFwuVxXNKaS3uBGODdHzawhVmCjiIiIiIikRnPYRK49Ho+HAQMGsHz5citI0YShmcc33XQT9913H40aNSI8PNwKTrOfZ/Z6jPbHwcHBPPjgg/Ts2ZMvv/ySqVOnsmfPHs6ePWut87Pv7+zZs3z77bckJiby9ttvp1mbTcGNIjmfz+ezAl4bN24MwL333gucq5m4bds2/v33X1atWsXJkyfZvHkzCQkJKYJj7WGypr8V8HvOrBk2n0lKSuLYsWOsXLnSOhbA6iv9448/uPPOO3G5XLoeiEiuVKdOHVavXk1ERASg9o9IRjFtmTp16vj1N3i9Xnbt2kVwcDCPPPIIDoeDuXPnZmhwo/19tWvXxuFw4Ha7mT9/Ps8995wCG0VEREQymUIbRURE5JqTk4MbzbYXLVrEmTNn/IoIu91u8uTJQ7169TJl3yJXM7fbzWOPPca6dev8BuLtk4SKFy9O5cqV6du3L2XKlLEG/Q37uV+jRg1q1apFixYtcLvdREdHs2HDBubPn++3kMnr9eLxeKz9nDhxgjlz5nDy5EmGDh1KcHBwuoIbH3jgAdasWWMdu/1Y0gpuBKyJSWkFNmqBlYiISNYzv7MPP/wwv//+O5s2bcLhcKQaeOjz+UhKSsoRwY1mm+b5/Pnzc/PNN1OxYkX+/PNPoqOjWbZsmfUd7W2Z1P4G5n7sjz/+4NixY0RFRWXI31dERERERHI2p9OJ0+m0+ijNc1fKtI9mzZrF0qVL+fnnn/32Zw9qBKyFWOY589j+n+njXbZsGQ6HgxEjRlCgQIFLLs5lbxep31VERERERFJj2goNGzakfPnyHDt2zJrjZhZ6ejwevvzySyIjI3n66acJDg7OkmMz40oej4e//vrLeg7OzccpW7YsLVq08PseIiIiIiIiIiIiIiIi2S07Ahvh3HjJvn372LVrlxXcaC8qHh4eTkDAlZd7Siu40ePx+M3PM2t7zPcGrScWEREREZGUNIdN5Nrh8/mYMGECixcv9uuzsNdiu+OOOxg4cCCRkZHWujuzBvBi55m9j8XhcNCpUyeqVKnC4sWLmTZtGrGxsX7BjfbtLViwgCFDhjBo0CCCgoJSrfeo4EaRnC2188v0XZYuXZrSpUsD0KNHD5xOJ1u2bOHkyZOsXbuWrVu3snfvXrZv3w6c/70364DNtcN+vbKHN5p+UftaYnNMPp+P9evXs2TJEpo2bZruICURkZxGgY0imSdv3rxWLRTTDlq9ejUPPfQQ+fPn59FHHwXI1ODG66+/ngceeICOHTvSvHlzQIGNIiIiIplJoY0iIiJyTcqJwY32SQnLli3D5/Ph8XgArElDhQsXJjw8XB3kIpfA4/EwYMAAli9fbhXZNuebeXzTTTdx33330ahRI8LDw/0G6s25Zj/n7Y+Dg4N58MEH6dmzJ19++SVTp05lz549nD171m9ykNnf2bNn+fbbb0lMTOTtt98mKCjoosGNU6dO9QtuTH5sqQU3ms8mD2w0i6oU2CgiIpI9zO9s/vz5uf7669m0aRMul8ta/G3eYw9udLvdOSa4MfkxFipUiBYtWtCiRQvmzJnDmjVr+Oabb1IEWcP5+wz7f7/++ivff/89DzzwQAb+lUVEREREJCeKj4/H6/VahaiMuLg4Tp8+TUhIyCUVo7KP45w4cYKRI0eyaNEi4uPjgfMLsMx7TRvJ9L2a1wC/xy6XyxqjMW2apUuXMnz4cN5++23rdfWjioiIiIhIRouKiuK1116jS5cunD592mrX2NsyEydOJDg4mL59+2ZY8eALMXNkxo8fz/bt2612kvl/ixYtyJs3rxaAioiIiIiIiIiIiIhIjpFdgY1mvMSEm5h6BvbjqFGjBpAxa3nTCm60r1Hy+XwKbBQRERERkXTTHDaRq9+aNWv46aefOH36NHCudoi9FlvHjh2tfhXjcvsPTN9DjRo1KFu2LNWqVePVV18lJibGb+2fea/H4+HHH38kLCyM5557jsDAwFT7LxTcKJK7JF83bPosAapVq4bD4eDmm28GICEhgR07dnD06FGWLFnCsWPH+PPPPzl58iRnzpwB8Otz9fl81pple60msx/7/zdv3szUqVPxer00b95cwY0ikqvp2iWS8apWrUqlSpX4+++/rfuHU6dOWfct4eHhWRLceMMNN1jPq69DREREJHMptFFERESuWTktuNF0oH3++ecsWrTIes4e3timTRuKFy+eYfsUudr5fD4mTJjA4sWLcTgcVmCQfZLQHXfcwcCBA4mMjLTOe3NuX6xj2z5x0OFw0KlTJ6pUqcLixYuZNm0asbGxfsGN9u0tWLCAIUOGMGjQIIKCglK9plwouNEcf/LgRjPxKX/+/KxatYqHHnrIL7DRvrAMtMBKREQku4SEhPDQQw/x448/cvz4cev+BLDuSXw+n9VuyUnBjYZ53hxDp06d6NixI61btyY6OprNmzdbC83tYSfJF3wXK1Ysw/6uIiIiIiKScxUqVIh8+fIRFxfnF+6+b98+/vnnH2rWrJnubZm2ysGDB/n++++ZN28emzdvtvpYnU6nNbZiFo6af7vdbgoXLkydOnWoVKmS9fqSJUs4cOAAR44csSZOm3aT1+vl22+/pUaNGvTs2VP9qCIiIiIikmkqVqzIG2+8wSuvvEJ8fLzfWJGZR/Lhhx/i9Xrp06cPYWFhmX5Mf/zxBytXrgSwxq/cbjcALVu2zJLCWyIiIiIiIiIiIiIiIukxbdq0FIGNcG5OWVJSEgUKFCA6OpoyZcpkaGCjfR9jx47l5MmTVkCAw+GwxnoaNGgAZFwx3bSCG826ZrO2GLSeWERERERE0kdz2ESubj/88AObN28Gzoeimjogbdu2tfpVMqLGor3vISwsjBYtWlCpUiV69erFv//+a9UgMe/1+XycOnWKn376ifLly9OpU6c0j+FSgxunTp2Kz+ejffv2Cm4UyWb2cy957aKgoCCqV68OQLNmzQA4ePAgZ86cYdOmTfz1118cOHCAdevWkZSURFxcHHA+mNHcI9hrHJnnPR4PK1asAM5d/5o2bar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      },
      "metadata": {},
      "output_type": "display_data"
@@ -424,19 +425,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:52.910522Z",
-     "start_time": "2023-06-26T20:57:52.648900Z"
+     "end_time": "2023-06-29T18:13:56.999821Z",
+     "start_time": "2023-06-29T18:13:51.375766Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 1426,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1080x360 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
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      },
      "metadata": {},
      "output_type": "display_data"
@@ -460,8 +461,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:53.439778Z",
-     "start_time": "2023-06-26T20:57:53.287110Z"
+     "end_time": "2023-06-29T18:14:01.375333Z",
+     "start_time": "2023-06-29T18:13:56.999990Z"
     }
    }
   },
@@ -477,12 +478,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 1427,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:57:53.907813Z",
-     "start_time": "2023-06-26T20:57:53.664253Z"
+     "end_time": "2023-06-29T18:14:01.375910Z",
+     "start_time": "2023-06-29T18:14:00.330874Z"
     }
    },
    "outputs": [
@@ -490,7 +491,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 45,
+     "execution_count": 1427,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,102 +504,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 1433,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:53:57.471936Z",
-     "start_time": "2023-06-26T20:53:57.470309Z"
+     "end_time": "2023-06-29T18:23:08.440759Z",
+     "start_time": "2023-06-29T18:23:08.315126Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand Reactions  \n0                              False     [nan]  \n1                              False     [nan]  \n2                              False     [nan]  \n3                              False     [nan]  \n4                              False     [nan]  \n5                      {CPD-8123[c]}     [nan]  \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}     [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n1                                     Ribose C-source   \n2                                  Thiamine salvaging   \n3                         Nitrate as reduction target   \n4      3-Phenylpropionate as carbon and energy source   \n..                                                ...   \n60                             Fructose, Unknown Role   \n61                Generic Hexose-Phosphate Antiporter   \n62                 Gluconoride Transport + Catabolism   \n63  Putative Symport of NA+ and Ascorbate Cataboli...   \n64               Plant Cell Wall Component Catabolism   \n\n                                                Genes  \\\n0   {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                {EG10818, EG10815, EG10814, EG10816}   \n2            {EG11574, G6566, M007, EG11572, EG11573}   \n3   {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                           {M011, M010, M012, G6206}   \n..                                                ...   \n60                                   {G6428, EG11905}   \n61                                          {EG11054}   \n62                                 {EG11055, EG11658}   \n63                        {EG12281, EG12282, EG12283}   \n64                                          {EG11685}   \n\n                                                  Add  \\\n0                      {FUM[p], HYDROGEN-MOLECULE[p]}   \n1                                 {D-Ribopyranose[p]}   \n2                                       {THIAMINE[p]}   \n3                                        {NITRATE[p]}   \n4                             {3-PHENYLPROPIONATE[p]}   \n..                                                ...   \n60                                   {FRUCTOSE-6P[c]}   \n61  {D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...   \n62                                  {Glucuronides[p]}   \n63                                       {CPD-334[p]}   \n64                                     {CPD0-1202[c]}   \n\n                          Remove Demand Reactions Substrates  \n0   {OXYGEN-MOLECULE[p], GLC[p]}     {}     [nan]      [nan]  \n1                       {GLC[p]}     {}     [nan]      [nan]  \n2                             {}     {}     [nan]      [nan]  \n3           {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n4                       {GLC[p]}     {}     [nan]      [nan]  \n..                           ...    ...       ...        ...  \n60                            {}     {}     [nan]      [nan]  \n61                      {GLC[p]}     {}     [nan]      [nan]  \n62                            {}     {}     [nan]      [nan]  \n63                      {GLC[p]}     {}     [nan]      [nan]  \n64                            {}     {}     [nan]      [nan]  \n\n[65 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>60</th>\n      <td>Fructose, Unknown Role</td>\n      <td>{G6428, EG11905}</td>\n      <td>{FRUCTOSE-6P[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>61</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>{EG11054}</td>\n      <td>{D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>Gluconoride Transport + Catabolism</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Glucuronides[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{EG12281, EG12282, EG12283}</td>\n      <td>{CPD-334[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>{EG11685}</td>\n      <td>{CPD0-1202[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n<p>65 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 21,
+     "execution_count": 1433,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "condition_sets = {0: {\"Environment\": \"Hydrogen + fumarate, -O2, -Glc\",\n",
-    "                      \"Genes\": {\"EG10468\", \"EG10469\", \"EG10470\", \"EG11799\", \"EG11800\", \"EG11801\", \"G7554\"},\n",
-    "                      \"Add\": {\"FUM[p]\", 'HYDROGEN-MOLECULE[p]'},\n",
-    "                      \"Remove\": {\"GLC[p]\", \"OXYGEN-MOLECULE[p]\"},\n",
-    "                      },\n",
-    "                  \n",
-    "                  1: {\"Environment\": \"Ribose C-source\",\n",
-    "                      \"Genes\": {\"EG10814\", \"EG10815\", \"EG10816\", \"EG10818\"},\n",
-    "                      \"Add\": {\"D-Ribopyranose[p]\"},\n",
-    "                      \"Remove\": {\"GLC[p]\"},\n",
-    "                      },\n",
-    "                  \n",
-    "                  2: {\"Environment\": \"Thiamine salvaging\",\n",
-    "                      \"Genes\": {\"EG11574\", \"G6566\", \"M007\", \"EG11573\", \"EG11572\"},\n",
-    "                      \"Add\": {\"THIAMINE[p]\"},\n",
-    "                      \"Remove\": set(),\n",
-    "                      },\n",
-    "                  \n",
-    "                  3: {\"Environment\": \"Nitrate as reduction target\",\n",
-    "                      \"Genes\": {\"EG10638\", \"EG10639\", \"EG10640\", \"EG10644\", \"EG10647\", \"EG10648\"},\n",
-    "                      \"Add\": {\"NITRATE[p]\"},\n",
-    "                      \"Remove\": {\"OXYGEN-MOLECULE[p]\"},\n",
-    "                      },\n",
-    "                  \n",
-    "                  4: {\"Environment\": \"3-Phenylpropionate as carbon and energy source\",\n",
-    "                      \"Genes\": {\"M010\", \"M011\", \"M012\", \"G6206\"},\n",
-    "                      \"Add\": {\"3-PHENYLPROPIONATE[p]\"},\n",
-    "                      \"Remove\": {\"GLC[p]\"},\n",
-    "                      },\n",
-    "\n",
-    "                  5: {\"Environment\": \"Molybdenum cofactor synthesis\",\n",
-    "                      \"Genes\": {\"EG11595\", \"EG11666\", \"EG11597\", \"EG11598\", \"EG11829\", \"G7496\", \"EG10002\", \"EG10152\",\n",
-    "                                \"EG10153\", \"EG10154\"},\n",
-    "                      \"Add\": {\"CPD-3[p]\"},\n",
-    "                      \"Remove\": set(),\n",
-    "                      \"Demand\": {\"CPD-8123[c]\"},\n",
-    "                      },\n",
-    "\n",
-    "                  6: {\"Environment\": \"pre-Quenosine synthesis\",\n",
-    "                      \"Genes\": {\"G6245\", \"G7431\", \"G7452\"},\n",
-    "                      \"Add\": set(),\n",
-    "                      \"Remove\": set(),\n",
-    "                      \"Demand\": {\"7-AMINOMETHYL-7-DEAZAGUANINE[c]\"},\n",
-    "                      },\n",
-    "\n",
-    "\n",
-    "                  \n",
-    "                  # 5: {\"Genes\": set([\"EG10286\", \"EG10287\", \"EG10288\", \"EG10289\", \n",
-    "                  #                   \"EG10290\", \"EG10293\", \"EG10294\", \"EG10295\", \n",
-    "                  #                   \"EG10296\", \"EG10298\", \"EG10302\", \"EG10303\", \n",
-    "                  #                   \"EG10304\", \"EG10305\", \"EG10306\", \"G6414\"]), \n",
-    "                  #     \"Add\": set(),\n",
-    "                  #     \"Remove\": set(),\n",
-    "                  #     \"Environment\": \"Proper metal (iron) uptake\"}\n",
-    "                 }\n",
-    "\n",
-    "condition_df = pd.DataFrame(condition_sets).T\n",
+    "condition_df = pd.read_excel(\"notebooks/new_environments/new_genes.xlsx\")\n",
+    "condition_df[\"Genes\"] = condition_df[\"Genes\"].apply(lambda x: set(x.split(\", \") if x == x else set()))\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
     "condition_df[\"Reactions\"] = [[np.nan]] * len(condition_df)\n",
-    "condition_df[\"Demand\"] = condition_df[\"Demand\"].fillna(False)\n",
+    "condition_df[\"Substrates\"] = [[np.nan]] * len(condition_df)\n",
+    "\n",
     "condition_df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "id": "0ecc835e-9a66-4cfe-838f-257cf37449b0",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-06-26T20:53:59.237419Z",
-     "start_time": "2023-06-26T20:53:57.473678Z"
-    }
-   },
+   "execution_count": 1434,
    "outputs": [],
    "source": [
-    "for i in range(len(condition_df.index)):\n",
-    "    \n",
+    "length = len(condition_df.index)\n",
+    "\n",
+    "for i in range(length):\n",
     "    genes = condition_df.loc[i, \"Genes\"]\n",
     "    rxn_set = set()\n",
     "\n",
@@ -611,33 +555,63 @@
     "        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
     "        if type(o) is dict:\n",
     "            o = [o]\n",
-    "        \n",
+    "\n",
     "        for rxn in o:\n",
     "            if type(rxn) is not str: # no rxns\n",
     "                rxn_set.add(rxn['@frameid'])\n",
     "            else:\n",
     "                print(gene, rxn)\n",
-    "            \n",
-    "    condition_df.at[i, \"Reactions\"] = rxn_set"
-   ]
+    "\n",
+    "    condition_df.at[i, \"Reactions\"] = rxn_set\n",
+    "\n",
+    "    overall_list = []\n",
+    "    for reaction in rxn_set:\n",
+    "        compound_set = set()\n",
+    "        function = \"substrates-of-reaction\"\n",
+    "        name = reaction\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Compound']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for compound in o:\n",
+    "            if type(compound) is not str:\n",
+    "                compound_set.add(compound['@frameid'])\n",
+    "            else:\n",
+    "                print(reaction, compound)\n",
+    "\n",
+    "        overall_list.append(compound_set)\n",
+    "    condition_df.at[i, \"Substrates\"] = overall_list\n",
+    "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
+    "    # This is to create the control"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-29T18:23:37.045711Z",
+     "start_time": "2023-06-29T18:23:08.462304Z"
+    }
+   }
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 1435,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:53:59.246439Z",
-     "start_time": "2023-06-26T20:53:59.244345Z"
+     "end_time": "2023-06-29T18:23:37.142130Z",
+     "start_time": "2023-06-29T18:23:37.045514Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment  \\\n0                  Hydrogen + fumarate, -O2, -Glc   \n1                                 Ribose C-source   \n2                              Thiamine salvaging   \n3                     Nitrate as reduction target   \n4  3-Phenylpropionate as carbon and energy source   \n5                   Molybdenum cofactor synthesis   \n6                         pre-Quenosine synthesis   \n\n                                               Genes  \\\n0  {G7554, EG11799, EG10469, EG11800, EG10470, EG...   \n1               {EG10818, EG10814, EG10815, EG10816}   \n2           {G6566, M007, EG11572, EG11573, EG11574}   \n3  {EG10638, EG10648, EG10640, EG10647, EG10639, ...   \n4                          {M010, M011, M012, G6206}   \n5  {EG10152, G7496, EG11597, EG11829, EG10153, EG...   \n6                              {G6245, G7452, G7431}   \n\n                              Add                        Remove  \\\n0  {HYDROGEN-MOLECULE[p], FUM[p]}  {OXYGEN-MOLECULE[p], GLC[p]}   \n1             {D-Ribopyranose[p]}                      {GLC[p]}   \n2                   {THIAMINE[p]}                            {}   \n3                    {NITRATE[p]}          {OXYGEN-MOLECULE[p]}   \n4         {3-PHENYLPROPIONATE[p]}                      {GLC[p]}   \n5                      {CPD-3[p]}                            {}   \n6                              {}                            {}   \n\n                              Demand  \\\n0                              False   \n1                              False   \n2                              False   \n3                              False   \n4                              False   \n5                      {CPD-8123[c]}   \n6  {7-AMINOMETHYL-7-DEAZAGUANINE[c]}   \n\n                                           Reactions  \n0                  {RXN-16420, RXN0-5256, RXN0-7399}  \n1                          {RIBOKIN-RXN, ABC-28-RXN}  \n2  {RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...  \n3                  {RXN0-7124, RXN-15119, RXN0-3501}  \n4  {1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...  \n5  {RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...  \n6                  {RXN0-4022, RXN0-5507, RXN-12093}  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{G7554, EG11799, EG10469, EG11800, EG10470, EG...</td>\n      <td>{HYDROGEN-MOLECULE[p], FUM[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>False</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10814, EG10815, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{RIBOKIN-RXN, ABC-28-RXN}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{G6566, M007, EG11572, EG11573, EG11574}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>False</td>\n      <td>{RXN0-7298, ABC-32-RXN, THIKIN-RXN, THIAZOLSYN...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10638, EG10648, EG10640, EG10647, EG10639, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>False</td>\n      <td>{RXN0-7124, RXN-15119, RXN0-3501}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M010, M011, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>False</td>\n      <td>{1.13.11.16-RXN, RXN-10040, MHPHYDROXY-RXN, TR...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>{EG10152, G7496, EG11597, EG11829, EG10153, EG...</td>\n      <td>{CPD-3[p]}</td>\n      <td>{}</td>\n      <td>{CPD-8123[c]}</td>\n      <td>{RXN-21601, RXN-17809, RXN0-262, RXN-8342, RXN...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>{G6245, G7452, G7431}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{7-AMINOMETHYL-7-DEAZAGUANINE[c]}</td>\n      <td>{RXN0-4022, RXN0-5507, RXN-12093}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                           Environment  \\\n0                       Hydrogen + fumarate, -O2, -Glc   \n1                                      Ribose C-source   \n2                                   Thiamine salvaging   \n3                          Nitrate as reduction target   \n4       3-Phenylpropionate as carbon and energy source   \n..                                                 ...   \n125                     Fructose, Unknown Role CONTROL   \n126        Generic Hexose-Phosphate Antiporter CONTROL   \n127         Gluconoride Transport + Catabolism CONTROL   \n128  Putative Symport of NA+ and Ascorbate Cataboli...   \n129       Plant Cell Wall Component Catabolism CONTROL   \n\n                                                 Genes  \\\n0    {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                 {EG10818, EG10815, EG10814, EG10816}   \n2             {EG11574, G6566, M007, EG11572, EG11573}   \n3    {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                            {M011, M010, M012, G6206}   \n..                                                 ...   \n125                                                 {}   \n126                                                 {}   \n127                                                 {}   \n128                                                 {}   \n129                                                 {}   \n\n                                Add                        Remove Demand  \\\n0    {FUM[p], HYDROGEN-MOLECULE[p]}  {OXYGEN-MOLECULE[p], GLC[p]}     {}   \n1               {D-Ribopyranose[p]}                      {GLC[p]}     {}   \n2                     {THIAMINE[p]}                            {}     {}   \n3                      {NITRATE[p]}          {OXYGEN-MOLECULE[p]}     {}   \n4           {3-PHENYLPROPIONATE[p]}                      {GLC[p]}     {}   \n..                              ...                           ...    ...   \n125                              {}                            {}     {}   \n126                              {}                            {}     {}   \n127                              {}                            {}     {}   \n128                              {}                            {}     {}   \n129                              {}                            {}     {}   \n\n                                             Reactions  \\\n0                    {RXN-16420, RXN0-5256, RXN0-7399}   \n1                            {ABC-28-RXN, RIBOKIN-RXN}   \n2    {ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...   \n3                    {RXN-15119, RXN0-3501, RXN0-7124}   \n4    {1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...   \n..                                                 ...   \n125                                         {RXN0-313}   \n126  {TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...   \n127                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n128                                   {TRANS-RXN0-235}   \n129                             {RXN-12402, RXN0-5001}   \n\n                                            Substrates  \n0    [{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...  \n1    [{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...  \n2    [{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...  \n3    [{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...  \n4    [{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...  \n..                                                 ...  \n125                                                 []  \n126                                                 []  \n127                                                 []  \n128                                                 []  \n129                                                 []  \n\n[130 rows x 7 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n      <td>[{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n      <td>[{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...</td>\n      <td>[{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN-15119, RXN0-3501, RXN0-7124}</td>\n      <td>[{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...</td>\n      <td>[{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>125</th>\n      <td>Fructose, Unknown Role CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-313}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>Generic Hexose-Phosphate Antiporter CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>Gluconoride Transport + Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>128</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-235}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>129</th>\n      <td>Plant Cell Wall Component Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN-12402, RXN0-5001}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n<p>130 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 23,
+     "execution_count": 1435,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -656,12 +630,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 1441,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:54:03.118366Z",
-     "start_time": "2023-06-26T20:53:59.256443Z"
+     "end_time": "2023-06-29T18:41:42.734067Z",
+     "start_time": "2023-06-29T18:36:08.617499Z"
     }
    },
    "outputs": [
@@ -669,18 +643,143 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "finished Hydrogen + fumarate, -O2, -Glc\n",
-      "finished Ribose C-source\n",
-      "finished Thiamine salvaging\n",
-      "finished Nitrate as reduction target\n",
-      "finished 3-Phenylpropionate as carbon and energy source\n",
-      "finished Molybdenum cofactor synthesis\n",
-      "finished pre-Quenosine synthesis\n"
+      "Finished Hydrogen + fumarate, -O2, -Glc\n",
+      "Finished Ribose C-source\n",
+      "Finished Thiamine salvaging\n",
+      "Finished Nitrate as reduction target\n",
+      "Finished 3-Phenylpropionate as carbon and energy source\n",
+      "Finished Molybdenum cofactor synthesis\n",
+      "Finished Pre-Quenosine synthesis\n",
+      "Finished Acetate Transport\n",
+      "Finished Adenine Transport\n",
+      "Finished Allantoin Purine Utilization Nitrogen Source\n",
+      "Finished Pts Rare Carbon\n",
+      "Finished Acetoacetate Transport\n",
+      "Finished Vitamin B Uptake\n",
+      "Finished Carnitine Metabolism\n",
+      "Finished Cellobiose Transport\n",
+      "Finished Citrate Transport, Anaerobic\n",
+      "Finished Cytosine Transport\n",
+      "Finished Curcumin Met, Unknown Further Path\n",
+      "Finished Cyanate + cyanide transport + Utilization\n",
+      "Finished Succinate + fumarate transport (Bidirectional?)\n",
+      "Finished D-Galactonate Metabolism (Carbon Source)\n",
+      "Finished Formate Transport\n",
+      "Finished Psicoselysine Transport (Carbon Source)\n",
+      "Finished Fructose Transport (PTS)\n",
+      "Finished Fructose Metabolism\n",
+      "Finished Galactarate Metabolism\n",
+      "Finished Glycol Metabolism, Glyoxylate shuttle\n",
+      "Finished Phosphate Util, Glycerol-phosphate Uptake\n",
+      "Finished Glutamate Transport\n",
+      "Finished Gluconate Transport\n",
+      "Finished Putative Sugar Transport\n",
+      "Finished 3-phenylpropanoate Metabolism\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family)\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family)\n",
+      "Finished Idonate + gluconate Transport\n",
+      "Finished KDG transport\n",
+      "Finished Alpha-KG Transport\n",
+      "Finished L-Galactonate Metabolism\n",
+      "Finished Maltose Transport\n",
+      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose)\n",
+      "Finished Melibiose Transport + Metabolism\n",
+      "Finished Galactose Active Transport\n",
+      "Finished S-methylmethionine transport\n",
+      "Finished Mannitol PTS Transport\n",
+      "Finished Putative Nitrite Reduction\n",
+      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction\n",
+      "Finished Pantothenate (vit b5, CoA moeity) Transport\n",
+      "Finished Phosphonate (P source) Metabolism\n",
+      "Finished Nicotinamide Riboside Transport\n",
+      "Finished Pseudouridine Metabolism (Urine Growth)\n",
+      "Finished General PTS protein required for carbon source transport\n",
+      "Finished Alternative Pyridimine to Nitrogen Source Metabolism\n",
+      "Finished Shikimate Transport\n",
+      "Finished Sorbitol Transport\n",
+      "Finished Taurine ABC Transport\n",
+      "Finished Trehalose Metabolism + Transport\n",
+      "Finished Tartrate Anaerobic Transport\n",
+      "Finished Ascorbate + vit C PTS Transport + Catabolism\n",
+      "Finished Glycine Betaine Transport\n",
+      "Finished Galactofuranose Transport\n",
+      "Finished Fructose, Unknown Role\n",
+      "Finished Generic Hexose-Phosphate Antiporter\n",
+      "Finished Gluconoride Transport + Catabolism\n",
+      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate\n",
+      "Finished Plant Cell Wall Component Catabolism\n",
+      "Finished Hydrogen + fumarate, -O2, -Glc CONTROL\n",
+      "Finished Ribose C-source CONTROL\n",
+      "Finished Thiamine salvaging CONTROL\n",
+      "Finished Nitrate as reduction target CONTROL\n",
+      "Finished 3-Phenylpropionate as carbon and energy source CONTROL\n",
+      "Finished Molybdenum cofactor synthesis CONTROL\n",
+      "Finished Pre-Quenosine synthesis CONTROL\n",
+      "Finished Acetate Transport CONTROL\n",
+      "Finished Adenine Transport CONTROL\n",
+      "Finished Allantoin Purine Utilization Nitrogen Source CONTROL\n",
+      "Finished Pts Rare Carbon CONTROL\n",
+      "Finished Acetoacetate Transport CONTROL\n",
+      "Finished Vitamin B Uptake CONTROL\n",
+      "Finished Carnitine Metabolism CONTROL\n",
+      "Finished Cellobiose Transport CONTROL\n",
+      "Finished Citrate Transport, Anaerobic CONTROL\n",
+      "Finished Cytosine Transport CONTROL\n",
+      "Finished Curcumin Met, Unknown Further Path CONTROL\n",
+      "Finished Cyanate + cyanide transport + Utilization CONTROL\n",
+      "Finished Succinate + fumarate transport (Bidirectional?) CONTROL\n",
+      "Finished D-Galactonate Metabolism (Carbon Source) CONTROL\n",
+      "Finished Formate Transport CONTROL\n",
+      "Finished Psicoselysine Transport (Carbon Source) CONTROL\n",
+      "Finished Fructose Transport (PTS) CONTROL\n",
+      "Finished Fructose Metabolism CONTROL\n",
+      "Finished Galactarate Metabolism CONTROL\n",
+      "Finished Glycol Metabolism, Glyoxylate shuttle CONTROL\n",
+      "Finished Phosphate Util, Glycerol-phosphate Uptake CONTROL\n",
+      "Finished Glutamate Transport CONTROL\n",
+      "Finished Gluconate Transport CONTROL\n",
+      "Finished Putative Sugar Transport CONTROL\n",
+      "Finished 3-phenylpropanoate Metabolism CONTROL\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family) CONTROL\n",
+      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family) CONTROL\n",
+      "Finished Idonate + gluconate Transport CONTROL\n",
+      "Finished KDG transport CONTROL\n",
+      "Finished Alpha-KG Transport CONTROL\n",
+      "Finished L-Galactonate Metabolism CONTROL\n",
+      "Finished Maltose Transport CONTROL\n",
+      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose) CONTROL\n",
+      "Finished Melibiose Transport + Metabolism CONTROL\n",
+      "Finished Galactose Active Transport CONTROL\n",
+      "Finished S-methylmethionine transport CONTROL\n",
+      "Finished Mannitol PTS Transport CONTROL\n",
+      "Finished Putative Nitrite Reduction CONTROL\n",
+      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction CONTROL\n",
+      "Finished Pantothenate (vit b5, CoA moeity) Transport CONTROL\n",
+      "Finished Phosphonate (P source) Metabolism CONTROL\n",
+      "Finished Nicotinamide Riboside Transport CONTROL\n",
+      "Finished Pseudouridine Metabolism (Urine Growth) CONTROL\n",
+      "Finished General PTS protein required for carbon source transport CONTROL\n",
+      "Finished Alternative Pyridimine to Nitrogen Source Metabolism CONTROL\n",
+      "Finished Shikimate Transport CONTROL\n",
+      "Finished Sorbitol Transport CONTROL\n",
+      "Finished Taurine ABC Transport CONTROL\n",
+      "Finished Trehalose Metabolism + Transport CONTROL\n",
+      "Finished Tartrate Anaerobic Transport CONTROL\n",
+      "Finished Ascorbate + vit C PTS Transport + Catabolism CONTROL\n",
+      "Finished Glycine Betaine Transport CONTROL\n",
+      "Finished Galactofuranose Transport CONTROL\n",
+      "Finished Fructose, Unknown Role CONTROL\n",
+      "Finished Generic Hexose-Phosphate Antiporter CONTROL\n",
+      "Finished Gluconoride Transport + Catabolism CONTROL\n",
+      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate CONTROL\n",
+      "Finished Plant Cell Wall Component Catabolism CONTROL\n"
      ]
     }
    ],
    "source": [
     "results_df = pd.DataFrame(columns=[\"Environment\", \"Reaction\", \"Flux\"])\n",
+    "zero_df = pd.DataFrame()\n",
+    "all_flux = []\n",
     "\n",
     "for i in range(len(condition_df)):\n",
     "    condition_idx = i\n",
@@ -689,7 +788,7 @@
     "\n",
     "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
     "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
-    "    if new_demand:\n",
+    "    if new_demand != set():\n",
     "        for met in new_demand:\n",
     "            homeostatic[met] = 100\n",
     "\n",
@@ -725,75 +824,140 @@
     "    fluxes = pd.Series(solution.velocities, index=metabolism.reaction_names)\n",
     "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
     "    fluxes.columns = [\"Flux\"]\n",
-    "\n",
-    "    relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
-    "    relevant_rxn_idx = []\n",
-    "\n",
-    "    for rxn in relevant_rxns:\n",
-    "        relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
-    "\n",
-    "    relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
+    "    all_flux.append(fluxes)\n",
+    "\n",
+    "    if condition_df.at[condition_idx, \"Environment\"][-7:] == \"CONTROL\":\n",
+    "        control_df = pd.DataFrame()\n",
+    "        flux_threshold = 1000\n",
+    "        for j, k in enumerate(fluxes.index):\n",
+    "            if abs(fluxes[k] - all_flux[condition_idx - length][k]) >= flux_threshold:\n",
+    "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          fluxes.index[j],\n",
+    "                          fluxes[k] - all_flux[condition_idx - length][k]]], columns=[\"Environment\", \"Reaction\", \"Control - Experiment Flux Difference\"]))\n",
+    "\n",
+    "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
+    "    else:\n",
+    "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
+    "        relevant_rxn_idx = []\n",
+    "\n",
+    "        for rxn in relevant_rxns:\n",
+    "            relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
+    "\n",
+    "        relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
     "    \n",
-    "    relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
-    "    \n",
-    "    for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
-    "        results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "        relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
+    "        zero_fluxes = relevant_fluxes[relevant_fluxes == 0]\n",
+    "\n",
+    "        for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
+    "            results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
     "                          relevant_nonzero_fluxes.index[j],\n",
     "                          relevant_nonzero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
     "\n",
-    "    print(f\"\"\"finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")"
+    "        for j, k in enumerate(zero_fluxes.index):\n",
+    "            zero_df = zero_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          zero_fluxes.index[j],\n",
+    "                          zero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
+    "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 1442,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:54:03.125618Z",
-     "start_time": "2023-06-26T20:54:03.123865Z"
+     "end_time": "2023-06-29T18:41:42.805390Z",
+     "start_time": "2023-06-29T18:41:42.748458Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                      Environment              Reaction  \\\n0                  Hydrogen + fumarate, -O2, -Glc  RXN0-5256-CPD-9728/P   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  RIBOKIN-RXN-CPD0-110   \n0                                 Ribose C-source  ABC-28-RXN-ATP/D-Rib   \n0                              Thiamine salvaging            ABC-32-RXN   \n0                              Thiamine salvaging            THIKIN-RXN   \n0                     Nitrate as reduction target  RXN0-7124-NITRATE/CP   \n0                     Nitrate as reduction target  RXN0-3501-NITRATE/RE   \n0  3-Phenylpropionate as carbon and energy source        1.13.11.16-RXN   \n0  3-Phenylpropionate as carbon and energy source        MHPCHYDROL-RXN   \n0                   Molybdenum cofactor synthesis             RXN-17809   \n0                   Molybdenum cofactor synthesis              RXN-8342   \n0                   Molybdenum cofactor synthesis              RXN-8348   \n0                   Molybdenum cofactor synthesis             RXN-11361   \n0                   Molybdenum cofactor synthesis              RXN-8340   \n0                   Molybdenum cofactor synthesis            ABC-19-RXN   \n0                         pre-Quenosine synthesis   RXN0-4022 (reverse)   \n0                         pre-Quenosine synthesis             RXN0-5507   \n0                         pre-Quenosine synthesis             RXN-12093   \n\n           Flux  log(Flux)  \n0  2.073151e+07   7.316631  \n0  9.177517e+05   5.962725  \n0  4.346074e+05   5.638097  \n0  1.352359e+06   6.131092  \n0  2.900000e+01   1.462398  \n0  2.900000e+01   1.462398  \n0  1.756030e+05   5.244532  \n0  1.300256e+06   6.114029  \n0  7.993023e+05   5.902711  \n0  7.993023e+05   5.902711  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  2.000000e+02   2.301030  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  \n0  1.000000e+02   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/P</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>9.177517e+05</td>\n      <td>5.962725</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-110</td>\n      <td>4.346074e+05</td>\n      <td>5.638097</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Rib</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>THIKIN-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-7124-NITRATE/CP</td>\n      <td>1.756030e+05</td>\n      <td>5.244532</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Nitrate as reduction target</td>\n      <td>RXN0-3501-NITRATE/RE</td>\n      <td>1.300256e+06</td>\n      <td>6.114029</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>1.13.11.16-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>MHPCHYDROL-RXN</td>\n      <td>7.993023e+05</td>\n      <td>5.902711</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-17809</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8342</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8348</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-11361</td>\n      <td>2.000000e+02</td>\n      <td>2.301030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>RXN-8340</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Molybdenum cofactor synthesis</td>\n      <td>ABC-19-RXN</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-4022 (reverse)</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN0-5507</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>pre-Quenosine synthesis</td>\n      <td>RXN-12093</td>\n      <td>1.000000e+02</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                  Thiamine salvaging   \n..                                                ...   \n0                 Generic Hexose-Phosphate Antiporter   \n0                 Generic Hexose-Phosphate Antiporter   \n0   Putative Symport of NA+ and Ascorbate Cataboli...   \n0                Plant Cell Wall Component Catabolism   \n0                Plant Cell Wall Component Catabolism   \n\n                                             Reaction          Flux  log(Flux)  \n0   RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...  2.073151e+07   7.316631  \n0   ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...  1.352359e+06   6.131092  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...  8.324587e+05   5.920363  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...  5.199004e+05   5.715920  \n0                                          ABC-32-RXN  2.900000e+01   1.462398  \n..                                                ...           ...        ...  \n0   TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...  2.748300e+04   4.439064  \n0                                      TRANS-RXN0-502  1.007656e+06   6.003312  \n0                                      TRANS-RXN0-235  1.530495e+06   6.184832  \n0                                           RXN-12402  3.080000e+02   2.488551  \n0           RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.  1.563130e+05   5.193995  \n\n[87 rows x 4 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...</td>\n      <td>2.748300e+04</td>\n      <td>4.439064</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN0-502</td>\n      <td>1.007656e+06</td>\n      <td>6.003312</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>TRANS-RXN0-235</td>\n      <td>1.530495e+06</td>\n      <td>6.184832</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402</td>\n      <td>3.080000e+02</td>\n      <td>2.488551</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.</td>\n      <td>1.563130e+05</td>\n      <td>5.193995</td>\n    </tr>\n  </tbody>\n</table>\n<p>87 rows × 4 columns</p>\n</div>"
      },
-     "execution_count": 25,
+     "execution_count": 1442,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
+    "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
     "results_df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 1443,
+   "outputs": [],
+   "source": [
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
+    "# g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
+    "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-29T18:41:42.821187Z",
+     "start_time": "2023-06-29T18:41:42.813034Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1444,
+   "outputs": [],
+   "source": [
+    "import textwrap\n",
+    "\n",
+    "def wrap_x_labels(ax, width, break_long_words=False):\n",
+    "    labels = []\n",
+    "    for label in ax.get_xticklabels():\n",
+    "        text = label.get_text()\n",
+    "        labels.append(textwrap.fill(text, width=width,\n",
+    "                      break_long_words=break_long_words))\n",
+    "    ax.set_xticklabels(labels, rotation=0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-06-29T18:41:42.895431Z",
+     "start_time": "2023-06-29T18:41:42.836359Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1445,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1688.28x720 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 13800x600 with 1 Axes>",
+      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
-    "g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
-    "g.savefig(\"notebooks/fbagd/figures/rxns_light_up.pdf\")"
+    "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
+    "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
+    "ax.set_title(\"Non-zero Fluxes\")\n",
+    "ax = sns.barplot(data=results_df, x=\"Environment\", y=\"log(Flux)\", ax=ax, hue=\"Reaction\")\n",
+    "ax.legend(bbox_to_anchor=(1, 1), title='Reactions', loc='upper left', ncol = 1)\n",
+    "wrap_x_labels(ax, 10)\n",
+    "fig = ax.get_figure()\n",
+    "plt.show(fig)\n",
+    "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-26T20:54:03.878599Z",
-     "start_time": "2023-06-26T20:54:03.128354Z"
+     "end_time": "2023-06-29T18:42:25.163555Z",
+     "start_time": "2023-06-29T18:41:42.862345Z"
     }
    }
   }

From bd8f5eeccbaa8dbf77445f6807c9622eeec10354 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 29 Jun 2023 12:06:29 -0700
Subject: [PATCH 34/58] Add Excel with first-pass of new metabolism genes

---
 notebooks/new_environments/new_genes.xlsx | Bin 0 -> 17906 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 notebooks/new_environments/new_genes.xlsx

diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..e490ed6dc8c240ec2cea11bf8e0a75e1e745d06f
GIT binary patch
literal 17906
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From f6e92e5989ac30940b0cb45d62fe1943bea8ace4 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Mon, 10 Jul 2023 10:15:42 -0700
Subject: [PATCH 35/58] Update Excel with first-pass of second set of
 metabolism genes

---
 notebooks/new_environments/new_genes.xlsx     | Bin 17906 -> 18841 bytes
 .../test_environments_new.ipynb               | 323 ++++++------------
 notebooks/new_environments/~$new_genes.xlsx   | Bin 0 -> 165 bytes
 notebooks/new_environments/~$temp.xlsx        | Bin 0 -> 165 bytes
 4 files changed, 101 insertions(+), 222 deletions(-)
 create mode 100644 notebooks/new_environments/~$new_genes.xlsx
 create mode 100644 notebooks/new_environments/~$temp.xlsx

diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
index e490ed6dc8c240ec2cea11bf8e0a75e1e745d06f..94c3c2cb96c1a5b9ccefdf4e36471402cb6a7036 100644
GIT binary patch
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M#}9KV_RrV<19bJ+_5c6?

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 812a2a958..725c976d3 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1412,
+   "execution_count": 1811,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:37.208940Z",
-     "start_time": "2023-06-29T18:13:36.979591Z"
+     "end_time": "2023-07-10T17:02:10.963672Z",
+     "start_time": "2023-07-10T17:02:10.728312Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1413,
+   "execution_count": 1812,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:37.222694Z",
-     "start_time": "2023-06-29T18:13:36.985613Z"
+     "end_time": "2023-07-10T17:02:10.965016Z",
+     "start_time": "2023-07-10T17:02:10.807434Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1414,
+   "execution_count": 1813,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:40.551633Z",
-     "start_time": "2023-06-29T18:13:36.993207Z"
+     "end_time": "2023-07-10T17:02:14.310336Z",
+     "start_time": "2023-07-10T17:02:10.829104Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1415,
+   "execution_count": 1814,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,8 +101,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:42.676035Z",
-     "start_time": "2023-06-29T18:13:40.559885Z"
+     "end_time": "2023-07-10T17:02:18.374404Z",
+     "start_time": "2023-07-10T17:02:14.311764Z"
     }
    }
   },
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1416,
+   "execution_count": 1815,
    "outputs": [
     {
      "data": {
@@ -147,8 +147,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:44.686933Z",
-     "start_time": "2023-06-29T18:13:42.708789Z"
+     "end_time": "2023-07-10T17:02:20.798866Z",
+     "start_time": "2023-07-10T17:02:18.379548Z"
     }
    }
   },
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1417,
+   "execution_count": 1816,
    "outputs": [
     {
      "data": {
@@ -197,21 +197,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:47.427870Z",
-     "start_time": "2023-06-29T18:13:44.686821Z"
+     "end_time": "2023-07-10T17:02:24.068061Z",
+     "start_time": "2023-07-10T17:02:20.783807Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1418,
+   "execution_count": 1817,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 1418,
+     "execution_count": 1817,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -224,8 +224,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:49.991158Z",
-     "start_time": "2023-06-29T18:13:47.453581Z"
+     "end_time": "2023-07-10T17:02:25.568537Z",
+     "start_time": "2023-07-10T17:02:24.068228Z"
     }
    }
   },
@@ -240,13 +240,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1419,
+   "execution_count": 1818,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 1419,
+     "execution_count": 1818,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,8 +280,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.049824Z",
-     "start_time": "2023-06-29T18:13:47.881847Z"
+     "end_time": "2023-07-10T17:02:25.568755Z",
+     "start_time": "2023-07-10T17:02:24.507832Z"
     }
    }
   },
@@ -296,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1420,
+   "execution_count": 1819,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -306,14 +306,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.050140Z",
-     "start_time": "2023-06-29T18:13:47.900438Z"
+     "end_time": "2023-07-10T17:02:25.568825Z",
+     "start_time": "2023-07-10T17:02:24.540826Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1421,
+   "execution_count": 1820,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -327,14 +327,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.579733Z",
-     "start_time": "2023-06-29T18:13:47.937930Z"
+     "end_time": "2023-07-10T17:02:26.046093Z",
+     "start_time": "2023-07-10T17:02:24.612262Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1422,
+   "execution_count": 1821,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -342,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:50.580036Z",
-     "start_time": "2023-06-29T18:13:50.526151Z"
+     "end_time": "2023-07-10T17:02:26.080514Z",
+     "start_time": "2023-07-10T17:02:26.056570Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1423,
+   "execution_count": 1822,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -364,20 +364,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:51.354272Z",
-     "start_time": "2023-06-29T18:13:50.556017Z"
+     "end_time": "2023-07-10T17:02:27.159288Z",
+     "start_time": "2023-07-10T17:02:26.096815Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1424,
+   "execution_count": 1823,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 1424,
+     "execution_count": 1823,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -388,14 +388,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:51.367321Z",
-     "start_time": "2023-06-29T18:13:51.358923Z"
+     "end_time": "2023-07-10T17:02:27.178963Z",
+     "start_time": "2023-07-10T17:02:27.170396Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1425,
+   "execution_count": 1824,
    "outputs": [
     {
      "data": {
@@ -425,14 +425,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:13:56.999821Z",
-     "start_time": "2023-06-29T18:13:51.375766Z"
+     "end_time": "2023-07-10T17:02:36.478519Z",
+     "start_time": "2023-07-10T17:02:27.189462Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1426,
+   "execution_count": 1825,
    "outputs": [
     {
      "data": {
@@ -461,8 +461,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:14:01.375333Z",
-     "start_time": "2023-06-29T18:13:56.999990Z"
+     "end_time": "2023-07-10T17:02:40.424627Z",
+     "start_time": "2023-07-10T17:02:36.475625Z"
     }
    }
   },
@@ -478,12 +478,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1427,
+   "execution_count": 1826,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:14:01.375910Z",
-     "start_time": "2023-06-29T18:14:00.330874Z"
+     "end_time": "2023-07-10T17:02:40.424842Z",
+     "start_time": "2023-07-10T17:02:38.955367Z"
     }
    },
    "outputs": [
@@ -491,7 +491,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 1427,
+     "execution_count": 1826,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -504,27 +504,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1433,
+   "execution_count": 1887,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:23:08.440759Z",
-     "start_time": "2023-06-29T18:23:08.315126Z"
+     "end_time": "2023-07-10T17:12:07.945108Z",
+     "start_time": "2023-07-10T17:12:07.654594Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n1                                     Ribose C-source   \n2                                  Thiamine salvaging   \n3                         Nitrate as reduction target   \n4      3-Phenylpropionate as carbon and energy source   \n..                                                ...   \n60                             Fructose, Unknown Role   \n61                Generic Hexose-Phosphate Antiporter   \n62                 Gluconoride Transport + Catabolism   \n63  Putative Symport of NA+ and Ascorbate Cataboli...   \n64               Plant Cell Wall Component Catabolism   \n\n                                                Genes  \\\n0   {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                {EG10818, EG10815, EG10814, EG10816}   \n2            {EG11574, G6566, M007, EG11572, EG11573}   \n3   {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                           {M011, M010, M012, G6206}   \n..                                                ...   \n60                                   {G6428, EG11905}   \n61                                          {EG11054}   \n62                                 {EG11055, EG11658}   \n63                        {EG12281, EG12282, EG12283}   \n64                                          {EG11685}   \n\n                                                  Add  \\\n0                      {FUM[p], HYDROGEN-MOLECULE[p]}   \n1                                 {D-Ribopyranose[p]}   \n2                                       {THIAMINE[p]}   \n3                                        {NITRATE[p]}   \n4                             {3-PHENYLPROPIONATE[p]}   \n..                                                ...   \n60                                   {FRUCTOSE-6P[c]}   \n61  {D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...   \n62                                  {Glucuronides[p]}   \n63                                       {CPD-334[p]}   \n64                                     {CPD0-1202[c]}   \n\n                          Remove Demand Reactions Substrates  \n0   {OXYGEN-MOLECULE[p], GLC[p]}     {}     [nan]      [nan]  \n1                       {GLC[p]}     {}     [nan]      [nan]  \n2                             {}     {}     [nan]      [nan]  \n3           {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n4                       {GLC[p]}     {}     [nan]      [nan]  \n..                           ...    ...       ...        ...  \n60                            {}     {}     [nan]      [nan]  \n61                      {GLC[p]}     {}     [nan]      [nan]  \n62                            {}     {}     [nan]      [nan]  \n63                      {GLC[p]}     {}     [nan]      [nan]  \n64                            {}     {}     [nan]      [nan]  \n\n[65 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>60</th>\n      <td>Fructose, Unknown Role</td>\n      <td>{G6428, EG11905}</td>\n      <td>{FRUCTOSE-6P[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>61</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>{EG11054}</td>\n      <td>{D-glucopyranose-6-phosphate[p], L-GLYCERALDEH...</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>Gluconoride Transport + Catabolism</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Glucuronides[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{EG12281, EG12282, EG12283}</td>\n      <td>{CPD-334[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>{EG11685}</td>\n      <td>{CPD0-1202[c]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n<p>65 rows × 7 columns</p>\n</div>"
+      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n\n                 Remove Demand Reactions Substrates  \n0                    {}     {}     [nan]      [nan]  \n1                    {}     {}     [nan]      [nan]  \n2  {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n3              {GLU[p]}     {}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1433,
+     "execution_count": 1887,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "condition_df = pd.read_excel(\"notebooks/new_environments/new_genes.xlsx\")\n",
+    "condition_df = pd.read_excel(\"notebooks/new_environments/temp.xlsx\")\n",
     "condition_df[\"Genes\"] = condition_df[\"Genes\"].apply(lambda x: set(x.split(\", \") if x == x else set()))\n",
     "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
     "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
@@ -537,7 +537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1434,
+   "execution_count": 1888,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -590,28 +590,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:23:37.045711Z",
-     "start_time": "2023-06-29T18:23:08.462304Z"
+     "end_time": "2023-07-10T17:12:09.665108Z",
+     "start_time": "2023-07-10T17:12:07.775307Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1435,
+   "execution_count": 1889,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:23:37.142130Z",
-     "start_time": "2023-06-29T18:23:37.045514Z"
+     "end_time": "2023-07-10T17:12:09.815085Z",
+     "start_time": "2023-07-10T17:12:09.709204Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                           Environment  \\\n0                       Hydrogen + fumarate, -O2, -Glc   \n1                                      Ribose C-source   \n2                                   Thiamine salvaging   \n3                          Nitrate as reduction target   \n4       3-Phenylpropionate as carbon and energy source   \n..                                                 ...   \n125                     Fructose, Unknown Role CONTROL   \n126        Generic Hexose-Phosphate Antiporter CONTROL   \n127         Gluconoride Transport + Catabolism CONTROL   \n128  Putative Symport of NA+ and Ascorbate Cataboli...   \n129       Plant Cell Wall Component Catabolism CONTROL   \n\n                                                 Genes  \\\n0    {EG11801, EG10469, EG10468, EG11799, G7554, EG...   \n1                 {EG10818, EG10815, EG10814, EG10816}   \n2             {EG11574, G6566, M007, EG11572, EG11573}   \n3    {EG10647, EG10639, EG10640, EG10638, EG10644, ...   \n4                            {M011, M010, M012, G6206}   \n..                                                 ...   \n125                                                 {}   \n126                                                 {}   \n127                                                 {}   \n128                                                 {}   \n129                                                 {}   \n\n                                Add                        Remove Demand  \\\n0    {FUM[p], HYDROGEN-MOLECULE[p]}  {OXYGEN-MOLECULE[p], GLC[p]}     {}   \n1               {D-Ribopyranose[p]}                      {GLC[p]}     {}   \n2                     {THIAMINE[p]}                            {}     {}   \n3                      {NITRATE[p]}          {OXYGEN-MOLECULE[p]}     {}   \n4           {3-PHENYLPROPIONATE[p]}                      {GLC[p]}     {}   \n..                              ...                           ...    ...   \n125                              {}                            {}     {}   \n126                              {}                            {}     {}   \n127                              {}                            {}     {}   \n128                              {}                            {}     {}   \n129                              {}                            {}     {}   \n\n                                             Reactions  \\\n0                    {RXN-16420, RXN0-5256, RXN0-7399}   \n1                            {ABC-28-RXN, RIBOKIN-RXN}   \n2    {ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...   \n3                    {RXN-15119, RXN0-3501, RXN0-7124}   \n4    {1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...   \n..                                                 ...   \n125                                         {RXN0-313}   \n126  {TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...   \n127                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n128                                   {TRANS-RXN0-235}   \n129                             {RXN-12402, RXN0-5001}   \n\n                                            Substrates  \n0    [{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...  \n1    [{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...  \n2    [{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...  \n3    [{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...  \n4    [{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...  \n..                                                 ...  \n125                                                 []  \n126                                                 []  \n127                                                 []  \n128                                                 []  \n129                                                 []  \n\n[130 rows x 7 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>{EG11801, EG10469, EG10468, EG11799, G7554, EG...</td>\n      <td>{FUM[p], HYDROGEN-MOLECULE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p], GLC[p]}</td>\n      <td>{}</td>\n      <td>{RXN-16420, RXN0-5256, RXN0-7399}</td>\n      <td>[{WATER, OXYGEN-MOLECULE, HYDROGEN-MOLECULE}, ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ribose C-source</td>\n      <td>{EG10818, EG10815, EG10814, EG10816}</td>\n      <td>{D-Ribopyranose[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{ABC-28-RXN, RIBOKIN-RXN}</td>\n      <td>[{WATER, Pi, ADP, D-Ribopyranose, ATP, PROTON}...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Thiamine salvaging</td>\n      <td>{EG11574, G6566, M007, EG11572, EG11573}</td>\n      <td>{THIAMINE[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ABC-32-RXN, THIKIN-RXN, THIAZOLSYN3-RXN, RXN0...</td>\n      <td>[{THIAMINE, WATER, Pi, ADP, ATP, PROTON}, {THI...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Nitrate as reduction target</td>\n      <td>{EG10647, EG10639, EG10640, EG10638, EG10644, ...</td>\n      <td>{NITRATE[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN-15119, RXN0-3501, RXN0-7124}</td>\n      <td>[{CPD-4544, Donor-H2, CPD-16009, Acceptor}, {M...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3-Phenylpropionate as carbon and energy source</td>\n      <td>{M011, M010, M012, G6206}</td>\n      <td>{3-PHENYLPROPIONATE[p]}</td>\n      <td>{GLC[p]}</td>\n      <td>{}</td>\n      <td>{1.13.11.16-RXN, RXN-12070, MHPHYDROXY-RXN, TR...</td>\n      <td>[{CPD-157, PROTON, 2-3-DIHYDROXYPHENYL-PROPION...</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>125</th>\n      <td>Fructose, Unknown Role CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-313}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>Generic Hexose-Phosphate Antiporter CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-534, TRANS-RXN0-501, TRANS-RXN-33,...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>Gluconoride Transport + Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>128</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN0-235}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>129</th>\n      <td>Plant Cell Wall Component Catabolism CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN-12402, RXN0-5001}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n<p>130 rows × 7 columns</p>\n</div>"
+      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n4          N-acetylglucosamine degradation I CONTROL   \n5  putrescine (ubiquitious regulator) biosynthesi...   \n6    anaerobic growth using TMAO as acceptor CONTROL   \n7  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n4                         {}                           {}   \n5                         {}                           {}   \n6                         {}                           {}   \n7                         {}                           {}   \n\n                 Remove Demand  \\\n0                    {}     {}   \n1                    {}     {}   \n2  {OXYGEN-MOLECULE[p]}     {}   \n3              {GLU[p]}     {}   \n4                    {}     {}   \n5                    {}     {}   \n6                    {}     {}   \n7                    {}     {}   \n\n                                           Reactions  \\\n0  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n1                                  {ARGDECARBOX-RXN}   \n2                  {RXN0-5264, RXN-19618, RXN-19619}   \n3                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n4  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n5                                  {ARGDECARBOX-RXN}   \n6                  {RXN0-5264, RXN-19618, RXN-19619}   \n7                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n\n                                          Substrates  \n0  [{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...  \n1         [{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]  \n2  [{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...  \n3  [{WATER, Beta-D-Glucuronides, D-Glucopyranuron...  \n4                                                 []  \n5                                                 []  \n6                                                 []  \n7                                                 []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[{WATER, Beta-D-Glucuronides, D-Glucopyranuron...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>N-acetylglucosamine degradation I CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>putrescine (ubiquitious regulator) biosynthesi...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>anaerobic growth using TMAO as acceptor CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1435,
+     "execution_count": 1889,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -630,12 +630,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1441,
+   "execution_count": 1890,
    "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.734067Z",
-     "start_time": "2023-06-29T18:36:08.617499Z"
+     "end_time": "2023-07-10T17:12:28.939797Z",
+     "start_time": "2023-07-10T17:12:09.816472Z"
     }
    },
    "outputs": [
@@ -643,136 +643,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Finished Hydrogen + fumarate, -O2, -Glc\n",
-      "Finished Ribose C-source\n",
-      "Finished Thiamine salvaging\n",
-      "Finished Nitrate as reduction target\n",
-      "Finished 3-Phenylpropionate as carbon and energy source\n",
-      "Finished Molybdenum cofactor synthesis\n",
-      "Finished Pre-Quenosine synthesis\n",
-      "Finished Acetate Transport\n",
-      "Finished Adenine Transport\n",
-      "Finished Allantoin Purine Utilization Nitrogen Source\n",
-      "Finished Pts Rare Carbon\n",
-      "Finished Acetoacetate Transport\n",
-      "Finished Vitamin B Uptake\n",
-      "Finished Carnitine Metabolism\n",
-      "Finished Cellobiose Transport\n",
-      "Finished Citrate Transport, Anaerobic\n",
-      "Finished Cytosine Transport\n",
-      "Finished Curcumin Met, Unknown Further Path\n",
-      "Finished Cyanate + cyanide transport + Utilization\n",
-      "Finished Succinate + fumarate transport (Bidirectional?)\n",
-      "Finished D-Galactonate Metabolism (Carbon Source)\n",
-      "Finished Formate Transport\n",
-      "Finished Psicoselysine Transport (Carbon Source)\n",
-      "Finished Fructose Transport (PTS)\n",
-      "Finished Fructose Metabolism\n",
-      "Finished Galactarate Metabolism\n",
-      "Finished Glycol Metabolism, Glyoxylate shuttle\n",
-      "Finished Phosphate Util, Glycerol-phosphate Uptake\n",
-      "Finished Glutamate Transport\n",
-      "Finished Gluconate Transport\n",
-      "Finished Putative Sugar Transport\n",
-      "Finished 3-phenylpropanoate Metabolism\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family)\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family)\n",
-      "Finished Idonate + gluconate Transport\n",
-      "Finished KDG transport\n",
-      "Finished Alpha-KG Transport\n",
-      "Finished L-Galactonate Metabolism\n",
-      "Finished Maltose Transport\n",
-      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose)\n",
-      "Finished Melibiose Transport + Metabolism\n",
-      "Finished Galactose Active Transport\n",
-      "Finished S-methylmethionine transport\n",
-      "Finished Mannitol PTS Transport\n",
-      "Finished Putative Nitrite Reduction\n",
-      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction\n",
-      "Finished Pantothenate (vit b5, CoA moeity) Transport\n",
-      "Finished Phosphonate (P source) Metabolism\n",
-      "Finished Nicotinamide Riboside Transport\n",
-      "Finished Pseudouridine Metabolism (Urine Growth)\n",
-      "Finished General PTS protein required for carbon source transport\n",
-      "Finished Alternative Pyridimine to Nitrogen Source Metabolism\n",
-      "Finished Shikimate Transport\n",
-      "Finished Sorbitol Transport\n",
-      "Finished Taurine ABC Transport\n",
-      "Finished Trehalose Metabolism + Transport\n",
-      "Finished Tartrate Anaerobic Transport\n",
-      "Finished Ascorbate + vit C PTS Transport + Catabolism\n",
-      "Finished Glycine Betaine Transport\n",
-      "Finished Galactofuranose Transport\n",
-      "Finished Fructose, Unknown Role\n",
-      "Finished Generic Hexose-Phosphate Antiporter\n",
-      "Finished Gluconoride Transport + Catabolism\n",
-      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate\n",
-      "Finished Plant Cell Wall Component Catabolism\n",
-      "Finished Hydrogen + fumarate, -O2, -Glc CONTROL\n",
-      "Finished Ribose C-source CONTROL\n",
-      "Finished Thiamine salvaging CONTROL\n",
-      "Finished Nitrate as reduction target CONTROL\n",
-      "Finished 3-Phenylpropionate as carbon and energy source CONTROL\n",
-      "Finished Molybdenum cofactor synthesis CONTROL\n",
-      "Finished Pre-Quenosine synthesis CONTROL\n",
-      "Finished Acetate Transport CONTROL\n",
-      "Finished Adenine Transport CONTROL\n",
-      "Finished Allantoin Purine Utilization Nitrogen Source CONTROL\n",
-      "Finished Pts Rare Carbon CONTROL\n",
-      "Finished Acetoacetate Transport CONTROL\n",
-      "Finished Vitamin B Uptake CONTROL\n",
-      "Finished Carnitine Metabolism CONTROL\n",
-      "Finished Cellobiose Transport CONTROL\n",
-      "Finished Citrate Transport, Anaerobic CONTROL\n",
-      "Finished Cytosine Transport CONTROL\n",
-      "Finished Curcumin Met, Unknown Further Path CONTROL\n",
-      "Finished Cyanate + cyanide transport + Utilization CONTROL\n",
-      "Finished Succinate + fumarate transport (Bidirectional?) CONTROL\n",
-      "Finished D-Galactonate Metabolism (Carbon Source) CONTROL\n",
-      "Finished Formate Transport CONTROL\n",
-      "Finished Psicoselysine Transport (Carbon Source) CONTROL\n",
-      "Finished Fructose Transport (PTS) CONTROL\n",
-      "Finished Fructose Metabolism CONTROL\n",
-      "Finished Galactarate Metabolism CONTROL\n",
-      "Finished Glycol Metabolism, Glyoxylate shuttle CONTROL\n",
-      "Finished Phosphate Util, Glycerol-phosphate Uptake CONTROL\n",
-      "Finished Glutamate Transport CONTROL\n",
-      "Finished Gluconate Transport CONTROL\n",
-      "Finished Putative Sugar Transport CONTROL\n",
-      "Finished 3-phenylpropanoate Metabolism CONTROL\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hya family) CONTROL\n",
-      "Finished Hydrogen cycling + oxidation for energy, important for low-O2 conditions (hyb family) CONTROL\n",
-      "Finished Idonate + gluconate Transport CONTROL\n",
-      "Finished KDG transport CONTROL\n",
-      "Finished Alpha-KG Transport CONTROL\n",
-      "Finished L-Galactonate Metabolism CONTROL\n",
-      "Finished Maltose Transport CONTROL\n",
-      "Finished Facilitated Diffusion Sugars (Maltose, D-glucopyranose) CONTROL\n",
-      "Finished Melibiose Transport + Metabolism CONTROL\n",
-      "Finished Galactose Active Transport CONTROL\n",
-      "Finished S-methylmethionine transport CONTROL\n",
-      "Finished Mannitol PTS Transport CONTROL\n",
-      "Finished Putative Nitrite Reduction CONTROL\n",
-      "Finished Phenylacetate Metabolism, Side Product Deg, Add Side Reaction CONTROL\n",
-      "Finished Pantothenate (vit b5, CoA moeity) Transport CONTROL\n",
-      "Finished Phosphonate (P source) Metabolism CONTROL\n",
-      "Finished Nicotinamide Riboside Transport CONTROL\n",
-      "Finished Pseudouridine Metabolism (Urine Growth) CONTROL\n",
-      "Finished General PTS protein required for carbon source transport CONTROL\n",
-      "Finished Alternative Pyridimine to Nitrogen Source Metabolism CONTROL\n",
-      "Finished Shikimate Transport CONTROL\n",
-      "Finished Sorbitol Transport CONTROL\n",
-      "Finished Taurine ABC Transport CONTROL\n",
-      "Finished Trehalose Metabolism + Transport CONTROL\n",
-      "Finished Tartrate Anaerobic Transport CONTROL\n",
-      "Finished Ascorbate + vit C PTS Transport + Catabolism CONTROL\n",
-      "Finished Glycine Betaine Transport CONTROL\n",
-      "Finished Galactofuranose Transport CONTROL\n",
-      "Finished Fructose, Unknown Role CONTROL\n",
-      "Finished Generic Hexose-Phosphate Antiporter CONTROL\n",
-      "Finished Gluconoride Transport + Catabolism CONTROL\n",
-      "Finished Putative Symport of NA+ and Ascorbate Catabolism Intermediate CONTROL\n",
-      "Finished Plant Cell Wall Component Catabolism CONTROL\n"
+      "Finished N-acetylglucosamine degradation I\n",
+      "Finished putrescine (ubiquitious regulator) biosynthesis\n",
+      "Finished anaerobic growth using TMAO as acceptor\n",
+      "Finished gluconoride transport + gluconoride and gluconorate catabolism\n",
+      "Finished N-acetylglucosamine degradation I CONTROL\n",
+      "Finished putrescine (ubiquitious regulator) biosynthesis CONTROL\n",
+      "Finished anaerobic growth using TMAO as acceptor CONTROL\n",
+      "Finished gluconoride transport + gluconoride and gluconorate catabolism CONTROL\n"
      ]
     }
    ],
@@ -828,13 +706,14 @@
     "\n",
     "    if condition_df.at[condition_idx, \"Environment\"][-7:] == \"CONTROL\":\n",
     "        control_df = pd.DataFrame()\n",
-    "        flux_threshold = 1000\n",
+    "        flux_threshold = 100\n",
     "        for j, k in enumerate(fluxes.index):\n",
-    "            if abs(fluxes[k] - all_flux[condition_idx - length][k]) >= flux_threshold:\n",
+    "            if abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold:\n",
     "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
     "                          fluxes.index[j],\n",
-    "                          fluxes[k] - all_flux[condition_idx - length][k]]], columns=[\"Environment\", \"Reaction\", \"Control - Experiment Flux Difference\"]))\n",
-    "\n",
+    "                         (all_flux[condition_idx - length][k] - fluxes[k]) / (fluxes[k] + 0.01) ]], columns=[\"Environment\", \"Reaction\", \"(Experiment - Control)/(Control + 0.01) Flux\"]))\n",
+    "        if len(control_df) > 0:\n",
+    "            control_df = control_df.sort_values(by=[\"(Experiment - Control)/(Control + 0.01) Flux\"], ascending=False)\n",
     "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
     "    else:\n",
     "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
@@ -864,21 +743,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1442,
+   "execution_count": 1891,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.805390Z",
-     "start_time": "2023-06-29T18:41:42.748458Z"
+     "end_time": "2023-07-10T17:12:28.976773Z",
+     "start_time": "2023-07-10T17:12:28.952222Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                          Environment  \\\n0                      Hydrogen + fumarate, -O2, -Glc   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                     Ribose C-source   \n0                                  Thiamine salvaging   \n..                                                ...   \n0                 Generic Hexose-Phosphate Antiporter   \n0                 Generic Hexose-Phosphate Antiporter   \n0   Putative Symport of NA+ and Ascorbate Cataboli...   \n0                Plant Cell Wall Component Catabolism   \n0                Plant Cell Wall Component Catabolism   \n\n                                             Reaction          Flux  log(Flux)  \n0   RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...  2.073151e+07   7.316631  \n0   ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...  1.352359e+06   6.131092  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...  8.324587e+05   5.920363  \n0   RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...  5.199004e+05   5.715920  \n0                                          ABC-32-RXN  2.900000e+01   1.462398  \n..                                                ...           ...        ...  \n0   TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...  2.748300e+04   4.439064  \n0                                      TRANS-RXN0-502  1.007656e+06   6.003312  \n0                                      TRANS-RXN0-235  1.530495e+06   6.184832  \n0                                           RXN-12402  3.080000e+02   2.488551  \n0           RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.  1.563130e+05   5.193995  \n\n[87 rows x 4 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hydrogen + fumarate, -O2, -Glc</td>\n      <td>RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//R...</td>\n      <td>2.073151e+07</td>\n      <td>7.316631</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>ABC-28-RXN-ATP/D-Ribopyranose/WATER//ADP/CPD0-...</td>\n      <td>1.352359e+06</td>\n      <td>6.131092</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-15318/ADP/PROTO...</td>\n      <td>8.324587e+05</td>\n      <td>5.920363</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Ribose C-source</td>\n      <td>RIBOKIN-RXN-CPD0-1108/ATP//CPD-16551/ADP/PROTO...</td>\n      <td>5.199004e+05</td>\n      <td>5.715920</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Thiamine salvaging</td>\n      <td>ABC-32-RXN</td>\n      <td>2.900000e+01</td>\n      <td>1.462398</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN-33-D-glucopyranose-6-phosphate/Pi//G...</td>\n      <td>2.748300e+04</td>\n      <td>4.439064</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Generic Hexose-Phosphate Antiporter</td>\n      <td>TRANS-RXN0-502</td>\n      <td>1.007656e+06</td>\n      <td>6.003312</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Putative Symport of NA+ and Ascorbate Cataboli...</td>\n      <td>TRANS-RXN0-235</td>\n      <td>1.530495e+06</td>\n      <td>6.184832</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402</td>\n      <td>3.080000e+02</td>\n      <td>2.488551</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Plant Cell Wall Component Catabolism</td>\n      <td>RXN-12402-CPD0-1202/WATER//GLC/XYLOSE.28.</td>\n      <td>1.563130e+05</td>\n      <td>5.193995</td>\n    </tr>\n  </tbody>\n</table>\n<p>87 rows × 4 columns</p>\n</div>"
+      "text/plain": "                                       Environment  \\\n0                N-acetylglucosamine degradation I   \n0  putrescine (ubiquitious regulator) biosynthesis   \n\n                                            Reaction    Flux  log(Flux)  \n0               GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)  5222.0   3.717837  \n0  ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...  5563.0   3.745309  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)</td>\n      <td>5222.0</td>\n      <td>3.717837</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...</td>\n      <td>5563.0</td>\n      <td>3.745309</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1442,
+     "execution_count": 1891,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -891,7 +770,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1443,
+   "execution_count": 1892,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -901,14 +780,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.821187Z",
-     "start_time": "2023-06-29T18:41:42.813034Z"
+     "end_time": "2023-07-10T17:12:28.977590Z",
+     "start_time": "2023-07-10T17:12:28.961389Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1444,
+   "execution_count": 1893,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -924,19 +803,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:41:42.895431Z",
-     "start_time": "2023-06-29T18:41:42.836359Z"
+     "end_time": "2023-07-10T17:12:29.000381Z",
+     "start_time": "2023-07-10T17:12:28.972219Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1445,
+   "execution_count": 1894,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 13800x600 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 600x600 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -956,8 +835,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-06-29T18:42:25.163555Z",
-     "start_time": "2023-06-29T18:41:42.862345Z"
+     "end_time": "2023-07-10T17:12:29.810653Z",
+     "start_time": "2023-07-10T17:12:29.038533Z"
     }
    }
   }
diff --git a/notebooks/new_environments/~$new_genes.xlsx b/notebooks/new_environments/~$new_genes.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..5a932052db2a5d1e1d32a453f59be330b8becc3b
GIT binary patch
literal 165
zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx
R#Z!U2P@qgIP=x};5CA3W7%cz*

literal 0
HcmV?d00001

diff --git a/notebooks/new_environments/~$temp.xlsx b/notebooks/new_environments/~$temp.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..5a932052db2a5d1e1d32a453f59be330b8becc3b
GIT binary patch
literal 165
zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx
R#Z!U2P@qgIP=x};5CA3W7%cz*

literal 0
HcmV?d00001


From edf8b390b20d6a6c6a5c7e2c03c98fba520b0bf2 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Mon, 10 Jul 2023 15:30:24 -0700
Subject: [PATCH 36/58] Test adding a putative L-selenocysteine synthesis
 pathway that is non tRNA dependent

---
 .../test_environments_new.ipynb               | 384 ++++++++++--------
 notebooks/new_environments/~$new_genes.xlsx   | Bin 165 -> 0 bytes
 notebooks/new_environments/~$temp.xlsx        | Bin 165 -> 0 bytes
 3 files changed, 213 insertions(+), 171 deletions(-)
 delete mode 100644 notebooks/new_environments/~$new_genes.xlsx
 delete mode 100644 notebooks/new_environments/~$temp.xlsx

diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 725c976d3..964f98e25 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1811,
+   "execution_count": 1,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:10.963672Z",
-     "start_time": "2023-07-10T17:02:10.728312Z"
+     "end_time": "2023-07-10T22:27:41.384047Z",
+     "start_time": "2023-07-10T22:27:05.112853Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1812,
+   "execution_count": 2,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:10.965016Z",
-     "start_time": "2023-07-10T17:02:10.807434Z"
+     "end_time": "2023-07-10T22:27:41.504575Z",
+     "start_time": "2023-07-10T22:27:41.186466Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1813,
+   "execution_count": 3,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:14.310336Z",
-     "start_time": "2023-07-10T17:02:10.829104Z"
+     "end_time": "2023-07-10T22:27:59.820242Z",
+     "start_time": "2023-07-10T22:27:41.411204Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1814,
+   "execution_count": 4,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,8 +101,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:18.374404Z",
-     "start_time": "2023-07-10T17:02:14.311764Z"
+     "end_time": "2023-07-10T22:28:30.846738Z",
+     "start_time": "2023-07-10T22:27:58.305589Z"
     }
    }
   },
@@ -117,38 +117,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1815,
+   "execution_count": 5,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
-    "sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
-    "\n",
-    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
-    "plt.figure(figsize=(15, 5))\n",
-    "plt.plot(sim_exchanges.head(20), 'o')\n",
-    "\n",
-    "# shorten all xtick names to 10 characters\n",
-    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_exchanges.index[:20]], rotation=45, ha= 'right')\n",
-    "# make xticks aligned to right left of bar\n",
-    "plt.yscale('log')\n",
-    "plt.ylabel('Flux counts')\n",
-    "plt.title('Top 10 Fluxes')\n",
-    "plt.show()"
+    "# sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
+    "# sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
+    "#\n",
+    "# # plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "# plt.figure(figsize=(15, 5))\n",
+    "# plt.plot(sim_exchanges.head(20), 'o')\n",
+    "#\n",
+    "# # shorten all xtick names to 10 characters\n",
+    "# plt.xticks([i for i in range(20)], [i[:20] for i in sim_exchanges.index[:20]], rotation=45, ha= 'right')\n",
+    "# # make xticks aligned to right left of bar\n",
+    "# plt.yscale('log')\n",
+    "# plt.ylabel('Flux counts')\n",
+    "# plt.title('Top 10 Fluxes')\n",
+    "# plt.show()"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:20.798866Z",
-     "start_time": "2023-07-10T17:02:18.379548Z"
+     "end_time": "2023-07-10T22:28:35.313499Z",
+     "start_time": "2023-07-10T22:28:30.863688Z"
     }
    }
   },
@@ -163,69 +163,69 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1816,
+   "execution_count": 6,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
-    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
-    "\n",
-    "\n",
-    "# plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
-    "plt.figure(figsize=(15, 5))\n",
-    "plt.plot(sim_fluxes.head(20), 'o')\n",
-    "\n",
-    "# shorten all xtick names to 10 characters\n",
-    "plt.xticks([i for i in range(20)], [i[:20] for i in sim_fluxes.index[:20]], rotation=45, ha= 'right')\n",
-    "# make xticks aligned to right left of bar\n",
-    "\n",
-    "\n",
-    "plt.ylabel('Flux counts')\n",
-    "# log scale\n",
-    "plt.yscale('log')\n",
-    "plt.title('Top 10 Fluxes')\n",
-    "plt.show()"
+    "# sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "# sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "#\n",
+    "#\n",
+    "# # plot the top 10 fluxes from sim_fluxes as a bar plot.\n",
+    "# plt.figure(figsize=(15, 5))\n",
+    "# plt.plot(sim_fluxes.head(20), 'o')\n",
+    "#\n",
+    "# # shorten all xtick names to 10 characters\n",
+    "# plt.xticks([i for i in range(20)], [i[:20] for i in sim_fluxes.index[:20]], rotation=45, ha= 'right')\n",
+    "# # make xticks aligned to right left of bar\n",
+    "#\n",
+    "#\n",
+    "# plt.ylabel('Flux counts')\n",
+    "# # log scale\n",
+    "# plt.yscale('log')\n",
+    "# plt.title('Top 10 Fluxes')\n",
+    "# plt.show()"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:24.068061Z",
-     "start_time": "2023-07-10T17:02:20.783807Z"
+     "end_time": "2023-07-10T22:28:37.967609Z",
+     "start_time": "2023-07-10T22:28:35.306915Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1817,
+   "execution_count": 7,
    "outputs": [
     {
      "data": {
       "text/plain": "                                                          4\nRXN0-1741-MALTOSE//MALTOSE.17.                      24833.0\nRXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.           24807.0\nRXN-15315                                           24807.0\nRXN0-0-CPD0-1122//CPD0-1122.21.                     24807.0\nRXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.           24807.0\n...                                                     ...\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTO...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/A...      0.0\nBETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/G...      0.0\nRXN0-963                                                0.0\n\n[7504 rows x 1 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>4</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>RXN0-1741-MALTOSE//MALTOSE.17.</th>\n      <td>24833.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1123//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN-15315</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//CPD0-1122.21.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-0-CPD0-1122//N-ACETYLNEURAMINATE.31.</th>\n      <td>24807.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/GLC.35.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-Alpha-lactose/WATER//GALACTOSE/Glucopyranose.45.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/ALPHA-GLUCOSE.41.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>BETAGALACTOSID-RXN-CPD-15972/WATER//GALACTOSE/GLC.31.</th>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>RXN0-963</th>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>7504 rows × 1 columns</p>\n</div>"
      },
-     "execution_count": 1817,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
-    "sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
-    "sim_catalysts"
+    "# sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
+    "# sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
+    "# sim_catalysts"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:25.568537Z",
-     "start_time": "2023-07-10T17:02:24.068228Z"
+     "end_time": "2023-07-10T22:28:39.821251Z",
+     "start_time": "2023-07-10T22:28:37.962368Z"
     }
    }
   },
@@ -240,48 +240,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1818,
+   "execution_count": 8,
    "outputs": [
     {
      "data": {
       "text/plain": "{'AMMONIUM[c]',\n 'CA+2[p]',\n 'CARBON-DIOXIDE[p]',\n 'CL-[p]',\n 'CO+2[p]',\n 'FE+2[p]',\n 'GLC[p]',\n 'K+[p]',\n 'L-SELENOCYSTEINE[c]',\n 'MG+2[p]',\n 'MN+2[p]',\n 'NA+[p]',\n 'NI+2[p]',\n 'OXYGEN-MOLECULE[p]',\n 'Pi[p]',\n 'SULFATE[p]',\n 'WATER[p]',\n 'ZN+2[p]'}"
      },
-     "execution_count": 1818,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "uptake = metabolism.allowed_exchange_uptake\n",
-    "uptake = set(uptake)\n",
-    "\n",
-    "# addition = set([\"CPD0-1074[c]\"])\n",
-    "addition = set([\n",
-    "        # \"FRU[p]\",\n",
-    "        # \"NITRATE[p]\"\n",
-    "        # 'THIAMINE[p]',\n",
-    "        # 'HYDROGEN-MOLECULE[p]',\n",
-    "        # 'FUM[p]'\n",
-    "])\n",
-    "removals = set([\n",
-    "                  # \"GLC[p]\",\n",
-    "               #      # 'AMMONIUM[c]',\n",
-    "               #      # 'WATER[p]'\n",
-    "               #       # 'Pi[p]',\n",
-    "               #       # 'SULFATE[p]'\n",
-    "               # 'OXYGEN-MOLECULE[p]'\n",
-    "])\n",
-    "\n",
-    "\n",
-    "uptake = uptake | addition\n",
-    "uptake = uptake - removals\n",
-    "uptake"
+    "# uptake = metabolism.allowed_exchange_uptake\n",
+    "# uptake = set(uptake)\n",
+    "#\n",
+    "# # addition = set([\"CPD0-1074[c]\"])\n",
+    "# addition = set([\n",
+    "#         # \"FRU[p]\",\n",
+    "#         # \"NITRATE[p]\"\n",
+    "#         # 'THIAMINE[p]',\n",
+    "#         # 'HYDROGEN-MOLECULE[p]',\n",
+    "#         # 'FUM[p]'\n",
+    "# ])\n",
+    "# removals = set([\n",
+    "#                   # \"GLC[p]\",\n",
+    "#                #      # 'AMMONIUM[c]',\n",
+    "#                #      # 'WATER[p]'\n",
+    "#                #       # 'Pi[p]',\n",
+    "#                #       # 'SULFATE[p]'\n",
+    "#                # 'OXYGEN-MOLECULE[p]'\n",
+    "# ])\n",
+    "#\n",
+    "#\n",
+    "# uptake = uptake | addition\n",
+    "# uptake = uptake - removals\n",
+    "# uptake"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:25.568755Z",
-     "start_time": "2023-07-10T17:02:24.507832Z"
+     "end_time": "2023-07-10T22:28:39.974652Z",
+     "start_time": "2023-07-10T22:28:39.796551Z"
     }
    }
   },
@@ -296,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1819,
+   "execution_count": 9,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -306,14 +306,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:25.568825Z",
-     "start_time": "2023-07-10T17:02:24.540826Z"
+     "end_time": "2023-07-10T22:28:40.342788Z",
+     "start_time": "2023-07-10T22:28:39.825406Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1820,
+   "execution_count": 10,
    "outputs": [],
    "source": [
     "model = NetworkFlowModel(\n",
@@ -327,14 +327,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:26.046093Z",
-     "start_time": "2023-07-10T17:02:24.612262Z"
+     "end_time": "2023-07-10T22:28:45.137167Z",
+     "start_time": "2023-07-10T22:28:39.829153Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1821,
+   "execution_count": 11,
    "outputs": [],
    "source": [
     "model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=metabolism.allowed_exchange_uptake)"
@@ -342,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:26.080514Z",
-     "start_time": "2023-07-10T17:02:26.056570Z"
+     "end_time": "2023-07-10T22:28:45.216756Z",
+     "start_time": "2023-07-10T22:28:45.144887Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1822,
+   "execution_count": 12,
    "outputs": [],
    "source": [
     "objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
@@ -364,20 +364,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:27.159288Z",
-     "start_time": "2023-07-10T17:02:26.096815Z"
+     "end_time": "2023-07-10T22:28:47.371218Z",
+     "start_time": "2023-07-10T22:28:45.189137Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1823,
+   "execution_count": 13,
    "outputs": [
     {
      "data": {
       "text/plain": "5182    8.249992e+06\n639     2.490931e+06\n4382    2.221422e+06\n3617    1.074952e+06\n446     9.069960e+05\n            ...     \n1775    0.000000e+00\n1774    0.000000e+00\n1773    0.000000e+00\n1772    0.000000e+00\n5313    0.000000e+00\nLength: 5314, dtype: float64"
      },
-     "execution_count": 1823,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -388,19 +388,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:27.178963Z",
-     "start_time": "2023-07-10T17:02:27.170396Z"
+     "end_time": "2023-07-10T22:28:47.467987Z",
+     "start_time": "2023-07-10T22:28:47.398107Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1824,
+   "execution_count": 14,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 9000x1500 with 1 Axes>",
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+      "text/plain": "<Figure size 2160x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -425,19 +425,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:36.478519Z",
-     "start_time": "2023-07-10T17:02:27.189462Z"
+     "end_time": "2023-07-10T22:28:50.137991Z",
+     "start_time": "2023-07-10T22:28:47.448653Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1825,
+   "execution_count": 15,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 4500x1500 with 1 Axes>",
-      "image/png": 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bq5UrV+rtt9/W119/bW0YMmOhwMBAq3004yKz+H3llVfqsssu08UXX6yQkBDqLcqEeX47HA4tXrzYCuhK3KCLysPUxW3btqlfv37au3evdTDcQw89pAEDBvi7iKimlixZopEjR+rIkSOFTvs3h8rceOONGjdunJ9LiqqGG3RRkZjn9B9//KEhQ4Zo37593KALAEU4cOCAfvjhB73//vv6/vvvPf6sqHl3Sfq///s/9ejRQxdeeKHi4uIYp+O0mbqzfft23XXXXVq3bp2k4+s7kucakLmRVJJHANLUUbfbbYUoAgMDdd1112nIkCFq1qxZOf9kqA64QRcVkamXv/32W6GArsQNuihfJwrmmjlK77YwNDRUc+fOVZs2bWgnUS5Mu7lq1SoNGzbMI6ArcYMuyp9pGwsKCvTll19aB7FLhdfQuUEXqNgI5wIATuhEwVwzwU0wF/7iPWmTl5enI0eOaOnSpfr999/19ddfa8+ePSooKJAkK0huNqUHBgZ63Pzct29fnXnmmbruuuuK/QwAAFB67M/ZBQsWaNy4ccrPz5d07CRqM2Vh73vaN2PYn+v257V5xicmJmrIkCG68cYbFR0dXY4/GaqqZcuW6bbbbrN+bz/Zl4Au/CUrK0tTp07V119/rc2bN1vjHrfbbbWZ9rpq2BcXGzVqpAsvvFAjR45UaGgo9RZlgoAuqoLMzExdccUVysnJsQ40cLlcuuyyyzRu3DhFRkYyj4RyY57zjz/+uBYsWCDpWFtr36AeERGhuLg49enTRwMGDFB4eLg/i4wqiIAuKhICugBwYrt379YzzzyjVatWaffu3YUOvLSHI4OCgqy+pdvtVlJSks444ww99thjatCggZ9/ElRG5jmdnp6uQYMGafv27R6BRrOuY0RHRyskJETh4eHKycnRkSNHdPToUauvaZ9LMqGfwMBADR06VAMHDlR8fLy/flRUYQR0URER0EVFcLJgrnmNJI+20O12a9asWerUqVP5FxrVFgFdVDQEdIGqgXAuAKBYBHNRWZjBifdAIz09XTt37tS8efO0detWrV271lqsCQ4O9lissQd+Lr30Ut14440666yzFBMTwyQ5AABlwP58nTNnjsaOHSup6FCukZCQoNDQUAUFBSkjI0Mul8tj05DpD9iDkvXq1dOoUaN02WWXWWFe4HTt2rVL/fr10549e4pcSCSgi/K2a9cuPf7441qxYoUOHTrkUQ+9QxH239s3sZm6HBYWposuukhPP/20wsLCqLcoEwR0Udn99NNPuvvuu5WXl2f1U83Gy6lTp+q8887zZ/FQDWVnZ+vaa69VZmamNZYKDg5WQUGB4uPjdd9996lt27Zq2bKlv4uKKoyALioSAroAULT09HSNGDFCf/75pyQVel673W6rP2nG7uZr0vFxzw033KB///vfCgsL888PgkrJPJ+3bdumfv36ae/evdaBQvY9SJKUmpqqtm3bqk+fPoqKilJISIgOHz6sLVu26JNPPtGPP/6ovXv3SlKRz/igoCCNHz9e1157Lfs8UCYI6KIiIqALfzpRMNfsxzSHwUjH20rz588//7yuvvpq2kiUKwK6qGgI6AKVH+FcAECRCOaiMjODDTNgyc/PV0FBgaZMmaJVq1bpp59+sl5rf510/HaJOnXqqGnTprr//vvVsmVLJn8AAChF9mfvrFmz9NRTT0kqeiNFRESEzj33XF100UXq1KmTEhIS5HQ6tXXrVmVkZGjKlCnaunWr9u/fb90W6X3SerNmzTR9+nTVqlWLRR2UWK9evfT7778XCjoaBHRRXrZv36577rmn2E2Vpk00m9JMINJ7g5BpN833Xn311XrqqacUGhpKm4kyQUAXld2dd96pJUuWFNpE1L17dz377LOqWbOmv4uIaiQ9PV3XXnutCgoKrDl9h8OhxMREzZgxQ82bN7deSxuKskRAFxUJAV0A8JSenq7+/fsrIyPDWhs3z2Jz+KX39kEz3rH/WWpqqkaNGqWOHTuW+8+Ayss8l7du3aq+ffsqKyur2GBunz59dPPNN6tly5YeddTsXZKkxYsX67///a8+/vhjScfXlcxBRQ6HQ7GxsXrrrbd0xhlnlP8PjGqBgC4qIgK68AdfgrlmrfLMM8+U0+nUunXrJB0/SDgtLU0PPvgg7SPKHQFdVDT2gO7ixYs1c+bME66hX3755QR0gQqEf4EAgEII5qKyM4MMM2ETFham6Oho3XvvvXrhhRf04osvKiUlRQkJCdYmSu8bz3bt2qUffvhBt956q958801rYkhSocVJoKzZB9ZmIQcAKiv7osrMmTNPGMyNiYnRI488ojFjxqh3795q1KiRoqKiFBsbq5SUFF166aWaNGmSRowYofbt28vtdnsc0mGe8xs3btSTTz5pbSYCToepn3Xr1pUk65Rf+yEv5v/NeOn555/XjBkzrNfzHEdpSU9P16BBg/Tnn3963ApuFrJNGxgaGqqAgABFRUVZ43WzWc0Edr0Xu7/66iu9/PLLKigooM1EmTD1Ljg4WJdcconS0tKUmpoq6Vj9tNfpvLw8ffHFFxo3bpxycnJoS+FXpi9w1113qVatWtbvzf9v2LBBWVlZkhi7o+yY+mbs27fPusnZHHwQGxuriRMnqnnz5h51kY0ZKEshISE655xzdM899yg1NdXj1j0jICBAixYt0qhRo2gnUaZMn/HMM8/UlClTFBcXZx1UJB1rS834aPr06Zo2bZp1Ax8AVDU7d+7UkCFDlJGRoeDgYGtOyMwPSVLr1q119tln66KLLlKLFi2UmJho/bn5X3Jysu6++26CuTglRQVzQ0JCigzm3nHHHRo9erRat25trfFI8nh+S9Ill1yiu+++W4MGDZKkIp/xubm5mjt3rvLz8+l3okzY5yh79uyp/v3768wzz5R0fH5TOjYG2rdvnz7//HNNmjRJGRkZRR6IAJQGUy9TUlL05ptvKjY2tthx0NSpUzV9+nRlZmb6s8io5E4lmNu+fXvNnTtXzZo1kySPNfb9+/dbXwPKk2k3O3TooMmTJys6OrrYdnPy5MmaOXOmtQYElAXTTwwJCdEll1yigQMH+rSGnpubyxo6UAGwCgsA8HCiYK7p3JVWMPdEHUEmIlGa7JPbSUlJuvLKKzVhwgQ99dRTatu2rRwOh0eYx3xPcHCwcnJyNHHiRD311FP69NNPrT8DypJ3+2gfWJs6ag8AAUBl4R3MHT9+vCTPYK452bxmzZr6z3/+oxtvvNEKQ3q3eS6XS3Fxcbrxxhv14IMPqlOnToUCuiYouXLlSn322WdFvg/gCzNO6ty5s6Sin8X25zQBXZSVbdu2qV+/fkpPT7c2VUqyxu2S1KZNG/Xs2VNvvvmmPvjgA33yySeaMWOGHn30UZ1//vmKiYnxWFy0O3z4sD7//HN98skn5fpzoXohoIvKyLSZycnJ1u075mtBQUHauXOnXn/9dUmEIFE2zNz9rl27tGDBAklS/fr1FRUVpaCgIKveXXbZZWrZsiUnpaPcEdBFRUJAFwCk7OxsjR07Vlu3brXm4E1YIjY2Vn379tXrr7+u+fPna/bs2Zo4caLmzZun9957T4MGDdLZZ59tzTs98sgj6tq1qyTm1+Gb4oK5BQUFkjxvIrvvvvt0zz33KCwszPp+7z0Z9nnMBg0a6NZbb1WfPn0kyQoAScee8U6nUytWrPAISQKljYAuKiICuigvpxLMTU1N1VtvvaWwsDBFRkZ6BHMlaeXKlTpw4EChQwmB8kBAFxXNqQR0Dx8+TEAXqEC43hAAYLEHbMvixlx7SCIgIMBjEtyEI0NCQiQdn2hnAxFKi/fiTe3atVW7dm117dpVr776qpYvX67Vq1dbg2uXy2UtUObn5+unn37STz/9pG3btmn48OHUS5QJ7/Zxw4YN2rJli1auXKnMzEzVrFlTSUlJuuKKKxQVFaW4uDjC4gAqjZMFc01fsKCgQHFxcZo+fbpatWrl8R7ebZ5pL0NDQ9W+fXvdc889eu655/Trr79arzebgbOysrRq1SpdddVVtJ0okcTEREnH63RAQIDOPPNM7dmzx7qBwtRpe0BXktLS0qwJcfqTOB32zWxF3TguSTfddJN69eqllJQUj++tVauWUlNTddlll+mvv/7SmDFjtHPnTmv8Ix1fgNy5c6eWLFmiHj16KDIykjqLMuEd0JWkGTNmaPXq1dZ43OVyye12WwFdSXr44YcVHR1NvYTfxMfHa8CAAfr++++tOVPTL1izZo3WrFmjdu3aFQqkASVh2sVt27apT58+1tzlzTffrCZNmmjNmjXWa1NSUjw2tQPlyR7QnTBhglavXi3J8wDNwMBALVq0SJL0/PPP8zxHmfEO6A4ZMkT79u2zxlJmg6XD4dD06dMlSbfddpuSkpL8XHIAKDmn06lPP/3Uehbbg7mJiYl6+umn1aFDB0VGRnp8T40aNRQVFaV//etf2rFjh959913Vq1fPGrczzoEvTuXG3AceeMC6BfdU6lfdunV1ww03aOPGjVqxYoXHnwUFBWnjxo165513rPcGyoJ9vadnz56SpNmzZ+uPP/7wmN+0B3Qlafjw4UpOTqZNRZnwDugOHTpUBw4cKHIcNHXqVEnSoEGDrPVP4GROFMw90eU/khQbG1voAOysrCwdPnxYsbGx/vmBUO15B3SHDRumnJycItvNyZMnS5IGDhyohIQEP5ccVZV3QNcoag3dBHSlY2voUVFRrKEDfkI4FwBgMQHbhx9+WO+9957HpLgJizkcDrVv3/6UgrneYbOtW7dq27Zt+umnn7R582YdPXpUhw4dksvlUt26ddW4cWM1adJEF1xwgSIiIugkosw4nU6FhIRoxIgR2rBhgxYuXKg33njDY4O7GagEBATI6XRqwoQJysjI0K233qpmzZoxUY5SY+raoUOHtGXLFs2dO1c//PCDdu/eXei1U6dOVevWrdWvXz9deuml1tdZvAFQUflyY649mDt79mw1a9bslCYMAwMDlZKSol69emnHjh3KzMy0PtMsBH388cfq1atXodAvcCrOOeccJSYmav/+/VYINzExUc8884yGDh2qHTt2ENBFmShqM5vkGcwdPny4hg8frvDwcEmeB16ZXycmJioxMVHz5s3TnXfeqd9//71QnXW5XFqyZInmzZunIUOGUFdRZgjoorLq1KmTrrrqKi1cuFCSrANhtm7dqmXLlqldu3aMz1Fq7MHc/v37Kzs7W0FBQZo6daoOHTpkbZ40G4QaNWokiXki+M/JArqmbhLQRXkgoAugujp69Ki+/PJL7du3z2PfR0JCgiZPnqw2bdoU+h5zO5R5VtevX1///Oc/rT+nfwlfnOjGXO9g7oMPPqi0tDSP7zsVKSkp6tatm0c41/Q3JWnz5s2l80MBJ0BAFxURAV2UlZMFc+17jO3B3KNHjyo0NFTNmjWTdHxtMzg4WIcPH9bvv/+uOnXqsOYDvyGgi4qGgC5Q+QS4zWwEAACSvvjiC40YMUKSPDb7SscG1x06dNDcuXMVEBDgUzDXdPCOHDmi7du3a968efrmm2+0fft2a0LcfmK6XYMGDXT++efr6quvVseOHT3KwcQkSot3ffr00081e/ZsrVu3Tvn5+R6b1M0AW5IuuOAC9enTR927d2cQgxIzA+Y9e/bo9ddf108//aSNGzdaEz8hISFyuVxyuVweC5aS1L9/f11zzTVq3769JNpIABXPiYK5pj2zB3PnzZunxo0bW23jqdq/f7/uvvturVixwloEko5NpoeGhuq1117TeeedV0o/Haqj/Px8XXvttdq2bZt1iEtCQoIWLVqkjRs36t5779XOnTs9wucBAQFyuVwKDg7WqFGjSrThCNWTL8HckSNHatiwYT69n2ljd+/erYEDB2rr1q1F3sR7xhln6I033lDt2rXpY6JMmf6Cw+HQ4sWLrYCuJI/FRUmKiIhQjx49COjC7+bMmaOxY8cqICDAY9NRUlKS3njjjSI3uwOna/v27br55puVlZWl8PBw5efnS5LOPPNMFRQU6O+///bYHNS9e/fTHlMBpaWgoEArVqywArqmvbSvDblcLl155ZUEdFHmTJ/xjz/+KBTQlTzHVoMGDSKgC6DSmzhxoiZMmGCNVZxOpyIjIzVu3DhdfvnlrCeiTJRnMNfU4YKCAt188836888/rT8za+yNGjXSe++9p8jISOo7ypy9Hn/wwQdWQFc6Pr8pHau7cXFxuvzyywnoosyZevnbb78VCuhKnuOgwYMHE9DFCZ0omOtwOIq9Mde+x/iPP/5Q7969rTbR+Mc//qF777233H8mwJtpN1etWlUooCt5tpvDhg0joIsyZx/3LF68WDNnzix2Db1GjRrWGjoBXaD88a8NAODhggsuUI8ePSTJmiA3J0uGhITohhtu8NhYfiJOp1OBgYHKzs7WK6+8olGjRmn27NlWMDc4ONjajGH+FxQUpICAAAUHBys9PV3z5s3TgAED9Prrr+uvv/6SVHyYFzgdZtLITPpcffXVevTRR5WWlqaYmBg5HA6rXpoTsCRp6dKlevPNN/XZZ58VmjACToXZKLl9+3bdfvvtWrBggTZu3OjRNjocDiskbk4aNHVx9uzZ+s9//mOdfkUbCe82iTYK/nSqwdy5c+eWKJjrcrlUs2ZN3X777QoNDbXqv2lP8/Pz9dNPP1llA06V0+lUeHi42rZtK0nWxrY9e/Zo06ZNat++vV555RXVrVvX6kdKKnSD7owZM6zvp53GyRS1mU3yXPx74IEHrGCuL+2bObygdu3amjRpkuLj4+VwOKw22ywwpqenKyMjg41BKHPeN+impaUpNTVV0vH5JVMPzQ2648aNU05ODm0pyp1pZ/v166cuXbpYc6dmvJ6Tk2NtvjTtKVBSixcvVnZ2toKDg5Wfn2/1M//44w/rNihT31auXClJBHPhd/YbdFNTUz1uzZWOzxksWrRIo0aN4nmOMuV9g25cXJzHuN2+/jN9+nRNmzZNe/fu9WeRAeC0uN1uORwO/f7771ZAwjx7zzrrLGusXZpzPcy1QyrfYK50/KAXt9ut2rVrW18z7ylJOTk5ys/PZ24T5cI+R9mzZ0/1799fZ555pqTj85uSPG7QnTRpkjX/TluKsuB9g25sbGyx46CpU6dq+vTpyszM9GeRUUGVRjDX7XarZs2aioiIkCTr+wMDA7V+/XrrNYA/ed+gGx0dXWy7OXnyZM2cOVNZWVn+LDKqOO8bdAcOHFjsGvrhw4f1+eefa9y4ccrNzWUNHShnhHMBAB7CwsLUs2dPtWjRQtKxSWvTcXM4HFq0aJG1kHMiJlCRkZGhe+65R7Nnz9batWslyfpeh8Mht9ttTZibTWze4TOn06lXXnlFL774ohYtWiSJ8BlKX2BgoFWn2rRpo7S0NI0dO9bapG4fYJtfr1y5UtOmTdOCBQvYbInTYupTenq6+vXrpz/++MOj3TV10kxy2ttee738/vvvNXXqVL3//vuSaCOrM7OAnZ6ebj0zmWiBv5womGuem9435jZp0qREtzuZ53lycrJCQ0OtMpg+pyTt2bNHUuluPkL1YermGWecIen44os5XEiS2rVrR0AXpaaoG3OL2sw2aNAgSZ5j+JMxJ6k2adJEQ4YMUUhIiCRZ4/Pg4GDl5eXpww8/lNPppJ6izBHQRWVhNgBL0iWXXKKIiAjreR8YGKj8/HxNmzZNubm5hCNRatLS0jRixAjFxMRI8pyjNP0DM2/0yy+/KCsri7khVAgnC+hKIqCLckNAF0B1EBAQoL///lvffvutXC6XXC6XNYd0ySWXWCHG01XUs7qouSie6dVLccFcU/dKO5hrBAYGKjQ0VG3atPH4utlrlJeXx7Mc5YqALioiArooqdII5krH2r569epZh2BLsvqrK1as0LZt29jDgQqBgC4qmlMJ6NrX0AnoAuWLcC4AoJCuXbuqW7duCgwM9NhY5na7tWLFCn333XeSij+pyh7M7d+/v37++Wdrot28jxmgm9tz7b/2Dp+Zgcw333yjV199VbNmzZJE+Aylzz7BU7NmTfXo0UNz585VkyZNrDC5CffYb6eYPXu23nnnHQYxOCWmHu3cuVODBw9WRkaGgoODreCOeY09oGt+b25zttfF3377TTNnztT8+fMl0UZWR2YBe9u2bbrppps0cuRIffjhh5IqTvDLBDKpm1XfyW7MNZOG9mBuSW7MtQsICFCzZs1Ur149qwz2PubevXtVUFBQIf5NoPIx7Ve9evUkHW9fHQ6Hli9fLulYe0xAF6WhqFsmTF+wtDazmdefddZZVn/TfkCXJO3atcs6uRooawR0UVmYNvHiiy+2gj2mDgYHB2v79u1auHChJMY/KDkzlh4+fLj69eun+Ph46+v2AwdNG/jLL79o1apVzA2hwiCgi4qEgC6qIu92k+c/du7caYUTpWPByBo1aqhDhw6STq2O2NcppWPtZH5+vn755RctWbJEn3zyiebMmaMvv/xSv/zyi3WAoRkzccB11XeiG3Ol4+tCUukGc817SJ71zIyDzFx8aGhoiT4DOFUEdFERnWpAd9q0aQR0Ian0grnmvSQpMTFRkud6kMvl0s6dOz1eB/gTAV1UNNygC1R87KgCAHhwu90KDQ3VXXfdpZSUFCsgYd8A/Nprr2nFihVFTgqaoNjevXs1bNgwpaenW2Ez8z4mXGYP6DidTo/wo3m95HkLwKZNmzRt2jTNnDlTEuEzlC2n06nGjRtrxowZOu+88xQWFiZJHos5krR+/XotWLBAn332GYMY+CwwMFDZ2dkaM2aMtm3bZt0kGRQUZE3gREdH67LLLtO1116rm2++WZ07d1ZYWJjVXkryaC//+usvzZ49W3PnzpVEG1mdeC9879u3T0FBQXr88cf1wQcfSPJ/8Mt+U/ScOXO0f/9+v5UFZetkwVzp+I258fHxpRrMNZ8vFX97ZHBwsEJCQgiZ4bSYOtWhQwfFx8d7tKumXTN1q7QCujzLq6fy3syWmpqq888/3+Nr5v22b9+u3NxcxjooNwR0UVm4XC7Vrl1bd999t0JDQ625TofDoYKCAn3//feSGJuj5Mxt95J05513egR07X0A03Y6nU49+uijWr9+PbdNoBB/BWR8CegGBgYS0EW5IKCLqsSMkfbs2ePR/0T1tmbNGuuASrMXIyYmRg0aNJDkex2xz7EfOnRIy5Yt07/+9S/16tVLaWlpuvPOO3X//fdr7NixGjFihPr376++ffvqzjvv1KxZs5SRkVEqc/6ouE4WzC2rG3MN80xft26dx9cDAgKs9rFGjRol/hxUPvbxhD/GQCcL6NoPFyagi/JyKgHdadOmEdDFCYO55jnrazDX7tJLL7W+1zyzDx06pMWLF0tiPIOKg4AuKppTvUGXgC5QvtiJCgDwYAa8NWrU0LPPPqt69eoVuvnB4XDo0Ucf1datWwsNhgMDA3Xw4EGNGTNGf/31V6GwmTmV9cYbb9S//vUvzZw5U7Nnz9a8efP02GOP6brrrlOdOnUked6aa5+c3717t9555x198sknVpmBsmDqbXJysp599lldeeWVio2NlXR8Mt/Uyz///FPz5s3Td999x0Q5fOJwOPTBBx/o999/l3Q8uOhwOFSzZk3dfffdmjx5siZMmKBnn31Wjz/+uCZNmqS5c+eqc+fOio2N9TjQwB4WnzNnDgHdasT8/W/ZskX9+/dXZmamQkJC5Ha7lZeXpyeeeMLvAV1Tv7dv364bbrhBTz75pN59910dOHCg3MuCsnWyYG5AQIDHjblz584t1WCudKzd27Jli7Zu3epR382vY2JiSuVzUL0FBwdbhxAZv/76q3bt2uXxtZIGdO3/ppYvX15okxGqpvIO5po6690+mq/v3LlThw4dYuyNckVAF5WBaXtbtmxpzWfabxr/8ssv9dFHH0li/hIlZ2/b7rzzTvXv398joBsQEKCAgABrTn3//v1sooRl//79Onr0qMchf0Z5PjNPFtA1vyagi/JAQBenqqh1Fu8bRcub/UDMXr166emnn9bXX3/tl7KgYjHPUNNHlI6ve/v6fLXf7vjpp59qzJgxuu222/TZZ59pw4YNVh80KCjIGge5XC5lZ2dryZIlGj9+vHr16qX58+drw4YN1vuyZll1nCiYa25uLstgrqlLDodDBw8e9OhTmsBPmzZtlJiYSL2rZkwdy87OlsPhKDKcaz/ot6ycKKBr/3dAQBfliYAufHWyG3MDAgJOOZhr3q9OnTpyuVxWP8F8ffv27eXwkwGnhoAuKhoCukDFRTgXAFCIueG2Xr16GjJkiGJjY62T+0znbdeuXXr77beVk5Pj8b1Op1MfffSRVq9ebf3eDMojIyOVlpam1157TePGjdNtt92mjh076uyzz1aHDh3Up08fPfPMM3rttdc0evRoa8BuX9g0k5MbN27UO++8ox9//LFc/9ug+jE3UyQkJOhf//qXrrrqKiUkJEg6PlFvBts///yzZs+erT/++MNv5UXFZ9q0vLw8LVmyRAcOHPCYwExMTNTEiRM1ePBgdejQQdLxuhYWFqYzzzxTzz77rG699VY1bNjQY1HG3kbOnTtXc+bMkURAt6oLCAhQTk6OhgwZor179yo8PNx6fgYGBvo9oGvfIHTLLbdYfYcXXnhB8+fPJ6BbhfhyY25wcLAVzC3tG3Ol46df79mzRyEhIVa/1r4BOSUlxSovcLpq166t1NRUj6BNfn6+jh49Wih8c7oBXe9/UwMHDtSsWbM8NrOh6vHezGYWuMtyM5t5XxPONQs2pu2MiopSVFQUwbJq5kQ3eZs2qqwR0EVZKs063KZNG11zzTWS5DEWCwgI0IoVK+RyuaiPKBX2tu2OO+4odIOuCV+Y0MWyZcv0xRdfKDc315/Fhp9t3bpVF154oa666irdcsstevnll/Xxxx9rzZo1OnLkiI4cOVLoe8zYuiye977coEtAF+WFgC5OxLv9KSgo0JEjR5SRkaGDBw/q8OHDVjtp2rDyvJnPPu/ev39/7dmzR9u2bdObb76pJUuWWK9jDrR6Kur5aeYufakTLpfLagtffvllPfHEE/riiy8kHZvjN31OcyuvPVxhnutBQUHau3evxo8fr/Hjx1vfz5pl1WDmJLdt21bkIYPm4CBJGj16dKkHc81nSNKCBQu0cuVKjzbZ1MvU1FSFhIQwr1mN2EPj1113na666irdcccdevPNN/XBBx8oPT1dWVlZVp0w9bGsnuEnu0GXgG714/13Wl5z7XYEdHEyJwvmnu6NuUazZs3Utm1bay7T/BtYunSptecYqEgI6KKiOdWArllDJ6ALlK2T94IAANWSGVCff/75+vHHH7VkyRKPkGx+fr6++uorde/eXV26dFFBQYFCQkJ06NAhffnll9q/f7+k4wGMmJgYPfXUUzr33HMVFRUlyXPDkHT8ptzWrVurdevWSk1N1fjx47V27VodOXJEgYGB1uZgp9OpFStWaPHixerUqVOpBTqAopgBSVxcnEaMGKGwsDB98sknyszM9DgV2Ol06rvvvlOtWrX02GOPWTdXstgDO1Mf5s2bp19++cVjAjMuLk6vvvqqNVg2zKKMaQeTk5M1YMAAJScna9asWVq/fr3Ha1wulzZs2KB58+ZJkvr162cNyqmPVVNBQYF69uypWbNm6cCBA9bN9d4BXenYwp+pJ6W1AF4c+wahvn37au/evVbb6HA4NGHCBLlcLvXp00c1a9Ys07Kg7Jn25a233iryxtzAwEAVFBQoPj6+TG7MNf3EgoICvfrqqzp06JA14Wg2goSEhFgHH9AeoqQSEhKsMVJwcLAOHDigNWvWqFGjRoWeuSagO2LECO3cubNQO20CupKUlpZmtdMBAQGaPXu29W/qyy+/VGhoqPr166cWLVqU/w+NMlVUMFeS1VeUyuaWiZCQEEnS33//bb2vqZtmU5L5fFQP9k1sc+fOVUpKipo1a6akpCQlJCQUWe/Kqm/pHdCVpBkzZmj16tVWP8LUWbO4KEkPP/ywoqOjy6XPi8rF1JuCggKFhoZaXz/d8bKpY9dff72++uor/fnnnx7v+eGHH6pPnz5q27ZtqZQfsI/n77zzTqu/mJ2dbX3dPMczMjL01ltvKT4+XhdffLFHnUf1sHXrVvXr1095eXnavXu30tPTrU2O4eHhqlevnhITE9WlSxclJCTonHPOUVxcnGJjYyUdHzeX9vPUHtCdMGGCVSb7hkwT0JWk559/nud5FeY9N2Rvy8pj7sY7oDtkyBDt27fPGrebDZYOh0PTp0+XJN12221KSkoq87LBP0zdM+3O119/rU2bNumbb77R/v37lZOTo/DwcAUHB6t58+Y6++yz1aZNG3Xo0KHc1quLmncPCwvTkSNHtHr1as2YMUNut1uXXHIJc6DVlNloa79B14QmT1ZP7e3y448/bq01SvKYKzJttXl/81n220yDgoKUn5+vH3/8Ub///rsyMzNZs6wiTDD3mmuu0ZEjRzzmMqXj9SAtLU0DBw6UJJ8DO6di3bp1+vLLLyV5rkcFBASoYcOGuvTSSyWV3bwVKpaiQuPSsXHR999/L0lKSkpScHCw2rdvr6ZNm+qMM85Qhw4dFB4ebo2DDNNOlbT+2MfxPXv2lCTr0H/7/KY9oCtJw4cPV3JyMu1lFWLqwYEDB7Rv3z41btzYo26Zv+vSXD8vjndAd+jQoR77TOzjoGnTpkk6Ng5KTEws03KhYjBtzkMPPaT333/fY19kSYO5khQVFaVGjRrp999/lyRrDcjtduvvv/9Wampqufw7QOVg2k7v53F59++8A7rDhg1TTk5Oke3m5MmTJUkDBw60LgFC1WPvo3lnIcqDd0DXKGoN/fDhwx5r6FFRUYyRgDJAOBcAcEINGjTQrbfeqh9//NFjMGE2aU6cOFGdOnWyNvPOnz9fP/30kyRZJ2PGxsZq0qRJVhDC8O7Y2Qfobrdb7du319ixY/Xqq6/qhx9+UG5urjXxaQb8c+bMUefOnXXZZZeV8X8JVHdmgB0bG6vhw4crPz9fn376qXJycuR2uz3q5Xvvvaf69evr9ttvZ5IchZiBudmwa8IWNWrU0EMPPWTdGFFc3TFfj4mJ0VVXXaXIyEi98cYb+uuvvwjoVmPx8fG65ZZbFBERoddee02HDh3yuGHPHwHd4oK55iap8PBw5efn6+WXX1bXrl0J51YRkydP1osvvihJVr9RknWCfkREhCZMmFDqwVzp+AaghQsXauPGjR4TjWaRqEePHmrWrBltYTXi3c6Vxt+9eU9zurnpA0rS+vXrJRUd/vY1oOt2uzVo0CAFBgZq1qxZeuqppyRJYWFhysnJ0ccff6wDBw7ogQceUO3atUv0s6DiKOqWCfshLlLZBHPN+xw8eFDZ2dkem+Dti4yxsbEs0FQT9k1s/fr1U2ZmpoKDgxUYGKikpCSdeeaZSk5O1gUXXKC4uDg1b95coaGhhepGaS5CEtBFabGPUR5++GH16tVL3bp1U1xc3GmPl03dSk5OVsuWLfXnn39afQMzJpszZ44eeeQRRUZGlsWPhWrIPp6/44475Ha7NWfOHI+Arnndli1b9MYbbygxMVFnnXUWm9qqEe/+pffNJgUFBdq4caM2btyo5cuXSzp2AFFQUJDatWun1q1bq2nTpjrnnHMUFBRk3dJslHTTMAFdSFJ6errmz5+v+vXrq02bNmratKkCAwNVo0YNj2dycRsxSwsBXRimjuXk5Gj58uV6//339dVXX3m0TfYbRtavX6/PPvtMtWvXVkpKim6//XY1aNDAOqi6LBQ373706FFrbLRixQrt379fZ5xxhho2bFhmZUHFVbduXUnH1yCDg4N18OBB/frrr7rwwguLbU/tN+aOHz/eWmM0YQl7e1jULZPm34dpP+0HLhw4cEBjx47V4cOHNXToUNYsq4BNmzbpyJEjko71DYu6+fHQoUNau3atWrVqVerB3KNHj2rp0qVauXKlpGPto30+tWnTpmrWrJmkwnuTUPWY52NRB2Cadsjtdis7O1tOp1O7d++26mx0dLRiYmLUpUsX1apVS127dlVSUpISExMVGRlZqP6Y9zqVenWygK59Xp6AbtVk/v63bNmiQYMG6fDhw0pNTVV8fLy6deumOnXqqHnz5oqOji5yjG3qQGnWBQK6OBlzOY+Z7zZrhyUJ5pp/CxdddJG+/PJLuVwuORwOuVwuuVwuffzxx+rVqxdzmJB0vL6kp6fr3XffVcOGDdWqVSs1bdpUkhQREVHk68t6/oiALkwd27dvn+Li4uR0Oq0MhfdryrIfR0AXqFgI5wIATuqcc87RQw89pNGjR1snnJqbyVasWKEnn3xS//73v5Wfn69ly5ZZE94FBQWKjIzUs88+qw4dOpxSJ9N0Glu0aKGRI0fK6XTq22+/1dGjR63ghRnIvPDCC2rZsqUaNWpUxv8lUN3ZA7r33HOPcnNz9d///tdadLLXy1deeUV16tTR9ddf799Co8IJCAjQjh079MMPP3h8/Zxzzjnl2xxr1KihCy+8UAEBAZo0aRIB3WouPj5e1113nSR5BHT9cYPuiYK50rGNHPn5+ZKkf/7zn0pJSSnVz4d/uN1upaenSyq+HQsKCtJff/2levXqqU6dOqVehh07dmjhwoXWadj2U1wlqXPnzgoPDy/1z0XFZN8kvnHjRjVr1qxUnoOmzWzVqpW10cfUsy1btkgqPjjpS0D3hRdeUHh4uEJDQ61gruljBgcH6/DhwwoNDSWYW4WYG828b8w1t35L0r/+9a9SD+ZKx+vz+++/rw0bNlifKx2/LdcE0VmYqfrsN+aaYG5ISIjcbreOHj2qnTt3aseOHZKkOXPmyOVyqU2bNkpOTlZKSoratm2r+Ph4tWnTRlLh/kBJbkghoIuSso9R+vTpo6ysLP300086//zz1bFjRw0ePFjBwcGndSOKWfi+66679OOPP2r37t1WYE2SfvvtN+Xk5CgyMpK6iFLjyw265nXr1q3TM888o4ceekjt27dnc1s1UFT/0mwgt9/+JB3v45nQjMPh0JIlS7RkyRJJUmxsrKKionTuuecqMTFR55xzjurWratatWopKiqqyPrka1tHQLd627Ztm2644Qbl5uZKOnYgVWJiourUqaOzzz5bCQkJOvfccxUTE6Pk5GRJx+trWdygQ0AXpu3avXu3XnjhBa1atUrbt2+3Dh2y3xhqxjrma3v37tV///tf/fXXX7rooovUp0+fMlm3Lm7e3RzwZW8/r7/+eoK51ZgJQpq5HVN3V69erQsvvLDY56n5+pQpUzRz5kxJxw9Yt9f/Jk2aqE2bNqpfv74VaN+4caPS09O1fft263PNWN28j5n7DAkJUVpaGmuVldwFF1ygV199VSNHjtTRo0cL3Vzrdru1YMEC5eXladCgQdYcY0mZ/uwPP/ygN954QwUFBVZdM3PsSUlJeuihhxQREcG6eDURFBSkzZs3a+DAgYXGQWbO0MzV2A+mDAoKUm5urnJycvTuu+9KkqZOnaqgoCC1aNFCTZs2VcOGDdW5c2fFxMSoefPmHgcSnkoI6EQBXVMWbtCtmuzz7rfeeqv27t2rwMBAffPNN5KkTz75RA6HQw0aNFDDhg3VvHlznXvuuYqNjVXbtm0lSaGhoZI8129K49ADArooimlvJk6cqNGjR+uDDz5QUFCQtW55usFc6Xh/s2XLltb7mX5DUFCQdu/ere3bt6thw4a0e9Wc/TDhnj176tChQ5Kk8PBwJScnq3bt2urUqZPi4+PVqVMnxcbGWm1TecwfEdCtvux1s1evXkpISFBiYqK6d++uWrVqqW3btkpOTrbC46Ydsx/wUprtGwFdoOIIcBd1bBkAAP+f6QQ6HA49/fTTmj17tiTPDRvJyckaM2aM6tatq1tuuUX5+fnWgHzAgAG68847S3wzxN9//62HH35Ya9as8ZjUl46dYvjss8/qggsuoKOIcmHqWVZWlh5++GEtXbrU43ZAsxjfpk0bPfbYY4TOqrmiJiK3bt2qnj176ujRo9YC9VNPPaUbbrjhtD4jLy9PS5cuLRTQlWQtejdv3ly33HKL+vXrJ6l0bg5ExZSVlaWPPvqoUEBXOn6zaEREhB599FFr4a80n58nC+babwAcNWqUhgwZUuplgP8UFBTohRde0IwZMyTJYwOQCS/GxMRoyJAhuv7661WrVq0Sf6a97jz55JNWf9UcKGPawauuukovvPCCJNrA6sC+0PLwww9r48aNuueee9S1a1dJJa8Dbrdbu3btUs+ePXXgwAFrEaZWrVr65JNPFBsbe8LvX7NmTaGArnS8nbaHys3NFKY+2+sybWfll56erptuukn79u1TaGioCgoKCt0ycdddd+muu+6SVDZ/53/++aceffRR/f777x7jbbfbrebNm2vixIksglcD9oXEW265xeMWZ8MsFgYGBlpzRfZbo6RjBwiZE/67d++uunXrql27dsUeKHCqJ/7b56kWL15sBXQleSwuSsdOzO7RowcBXXiMUW655RZlZmYqIiJCeXl5Vv3r0KGDLrroIl1xxRWqX7++9b2+1hu3260jR47oueee09y5cz1uE3C5XOrXr5/GjBlTlj8mKjl7UNIeSvTl+0wdnThxohXQNe9lf13btm0J6FYDeXl5uvHGG7Vp0yarfympyJvMJHk8h83/2zeqm8OEjPDwcAUGBqpRo0Y644wzVK9ePZ1//vmKjY21biYz7EHgE7WlBQUFWrFihRXQ9Q6Ymfe68sorCehWEfYbzcLDw5Wfn+8xh2TUrFlTktS+fXs1bdpULVu2VMeOHRUREVHsZvCSbrw09fWPP/4oFNCVPOc2Bw0aREC3irDfxnPvvffq999/l6Qi2yPze/sYxn6DVM2aNdWnTx8NHz68VA8JPJV59/vvv1+DBw+WxDxodbV+/Xr179/fmrc0gbSUlBRNnDhR8fHxxT5Ply9frieeeEIbN270CGFI0mWXXab/+7//01VXXVVk/d68ebO+//57zZw5U3v27LECm95taGBgoJ544gn16tWr7P4joNz897//1ahRozwCupLn+tA111yjtLS0Egd0TVv4yy+/aOjQoR7roKbfGRkZqbvuuksDBgyw2mdUfUeOHFHPnj21adMmRUREWIdE28c6kop9rtvriXmm24WHh8vtdislJUVJSUnq0qWLmjRpYh1GXFQftLh+qf3Z/MEHH1gBXcnzUAO32624uDhdfvnlBHQrsaLm3b3XBU2ds68NSsfqYqtWrRQVFaVOnTqpSZMmatq0qc4444wi27eS3NBnvve3334rFNCVPPuat912GwHdasDehpmArqQSBXMN087deeed+uabb6xnuGmfH3jgAQ0aNKiUfhJURvZDDcz8kVnTKWr+yIxv2rdvr+bNm6tFixbq2LGjwsLCFB8f7/Fa+4EdpTF/tGrVqkIBXcmz3Rw2bBgB3SrC/lzv27evMjMzCz2/4+PjFR0drWbNmql9+/ZKTk5Wly5dFB4eXmgfkamHpdHHM+9RUFCgxYsXa+bMmcWuodeoUcNaQyegC5QewrkAAJ+tXLlSzz//vFatWuVxmot0bCGmYcOGmjJlisetTpMnT7Y2wJ8u02lcvXq1BgwY4LGIYwbnXbt2tU5oQ/Vgn0S3T5abkyRP56aTU2HeOyMjQ2lpadq8ebPHANvtdis0NFT/+Mc/NHz4cBZ+qin7RM7kyZPVt29fRUVF6YcfftDgwYOtP0tOTtb8+fOVlJR02oNtArqw81dA90QbhMxNZwRzq76CggI999xzmjVrliR5BL3MBHRpBXTtdeell17SG2+8YX2mfQNx69at9cgjj6hjx47Ut2rA/vx99NFH9c4770iSLrzwQt16660lHp/Y3XbbbVq2bJlVv6OiovTRRx9Zt/qcSHEBXcOcEGx+7XK5dMUVV+ill16SVHqnYsO/TNtl2koThDB9tKCgIF155ZV64IEHlJCQUOptWH5+vqZMmWLdMmH/XIfDoSuvvFLjx49XWFhYqX0mKq5t27bp6quv1tGjRz36cPYxg3d4x36iuT3YLR0/PTo+Pl61atVS8+bNdc455ygpKUlnnXWWAgMDFRMT41EGXxYhCejidKSnp6t3797av3+/Vb/tdczlcik4OFgxMTG6/fbblZKSovbt21t/7uv4+ccff7Q2Dpm67Ha71bp1a73yyitq0KABY3FI8r1O+bKxkoAuvP33v//V2LFjrdt4vEOuhncw13zNvM4eOrMfJOT9zDfjkg4dOqhWrVrq1KmTmjdvroSEBDVu3LjI568Zz9g3DRHQrR7Mzc6ZmZmF+pymX2mvj06n0+NAmIiICEVHR+ucc85RYmKiunbtquTkZNWtW7dQ39I41T4gAd3qxb6xcuDAgdq1a5fHs7e4sIT9djv7GKhdu3Z66KGHSvXgXg7ExOm47777tHDhQo9ne2hoqKZNm6azzz672PH+f/7zH02aNMnjxidJGjJkiIYNG2a1tQUFBQoJCZHb7ZbD4VBISIj1XqtWrdKSJUv0zjvv6ODBg0WuUTVv3lxjxoxR586dy+s/CcpQeQR0TVu4bt069e/fX7m5uYX2ZwQHB6t79+667777Ch0cg6rvhx9+0IMPPqi9e/d6rBMWFcg1vEO7Rc17mn6B/ZZcIzExUS1atFDt2rXVrVs3xcTEqF27doqOji70DDb9Wu9AEAHdqm/Lli3q06ePx7ykdOK5dpfL5VHXzJ9FRUUpOTlZycnJ6tatm2rVqqWzzz5bkZGRioqK8vhce13xpd4Q0IU3e1t1xx13aM+ePZo7d26Jgrl2r732mv7zn/9IOh5Udzqd6tKli1555RVFRUUxnqmG7MFcX+aPzLPa7CU3z/bIyEjFxMSoc+fOSkhIUNeuXVWrVi3Vrl1b0dHRJ/zsUy0rAd3qwbSJ9tC4qZv2g62954+kY4HdkJAQdenSRfXr11dqaqpatGihsLAw63DC4j7vVBDQBfyLcC4AVDGmQ1ZQUKDg4OBSn5CbMWOGnn/+eY/NwqYjmZSUZG32cLlcuuaaa/Tcc8+VyueaTuPs2bP15JNPSjo+YRoYGKjk5GRNnz5djRo1KpXPQ8VV1CBg//791sDW4XAoLi6u0Maz0z0d8ETMv7dNmzapf//+ys7OtsphBv0xMTGaNWuWWrVqxQCmmrEPkP/9739r/vz5Sk1N1ZQpU7R582b17t3bai/btWunBQsWlPgzCejCrrwDumwQgl15BHTtdef111/XK6+8Yn2WPZhbs2ZNDRw4ULfddhvhsmrA/vwdM2aMFixY4DH53a1bN/Xv31//93//V6LPMfVv1KhR+vTTTz02VDz99NO6/vrrfXrGFhXQLeqmNLfb7XFjLsHcqsPcOP7ee+8pJydHkgpt8AkPD1f37t316KOPKjExsVSenaZ+LlmyRKNGjVJeXp61IGPGMklJSZo/f77q1q1Ln7GaWLVqlW655RZJKnRr7okUFeixb2Iv6hTrhg0bKiwsTJ07d1a9evXUqlUrtWrVShEREYVu3ylqTE9AF6fi8OHDeuCBB/Tll19aXzN1wHszh6mziYmJuvbaa3XdddepQYMGCg0N9bnujB07VnPmzJHk+e/jscceU58+fcrgJ0RlYuqRqWsrV67Uvn37tGXLFuXk5Cg6OlohISFq1aqV6tatq3r16nnUu+Keyfb6+dprr2nOnDkEdKshe/1YunSpRo8erX379nkEdL1Dt94bzL3DZkWFeaXjtzybjXDeG+CkYxvVTUi3W7duSkhIUEpKiscNAfbyHD16VD///LNeeeUV/frrrwR0q6CMjAxdc801OnjwoMLCwnT06NEi+3incptzaGioJKlJkyZq2LChGjZsqK5duyo+Pl6tW7f2+Hxfb3OWCOhWF+bveefOnUpLS9O2bdusv2fvwwjq1q2rqKgoBQQEKCsrS/n5+crNzfXYRF63bl2NGzdOXbp0KbUyMu+OU2X+7mfMmKGnn366UJ3u2LGjJkyYUOSm8PXr1+umm25SXl6ex7zA8OHD9c9//tPnz5akzMxMffXVV3rxxRc91vKl4yHKG2+8UaNGjSp2czwqF++AblHPzNMN6Jo6/Ndff6lfv37Kzc31aAtNO9ygQQM98cQTpdoOo3JZvny5/vnPf3r03YpbczF9TPseH/sYqKjgrvm92ZfnPZZyOp1q2rSpoqKilJKSorZt26phw4Zq3769nE6n1Xf19u6772ru3Ln6888/rfcioFs1HD58WCNHjtTSpUutORj7ng2jqG389j+3z1t6z7UnJiYqKipKqampatasmRo1aqT27dsrNDRUcXFxHq892eGYBHThzb72bu9TlmSd2tS/TZs2aciQIcrIyPBo8yIiIjRv3jy1atWqVH4GVD4ZGRm6+uqrlZOTo7CwMB05cqTIwzZOdf4oKChITZo0UePGjdWgQQN17dpVNWvWVMuWLT0+/3TmjwjoVg+bN29WWlqaMjIyigyN2+c47XsvpOPPf+lY/Y2JiVHt2rWVmpqqxMREnXfeeYqNjVXTpk0LHS5sn98/WR+QgC7gP4RzAaAKMR2jzZs365VXXtHQoUPVpk2bUpmQs3ccR44cqUWLFlmdMLMJ3R6WdTqduv322zVixIhS7bD9/fffGjFihLZs2WINpsyj7JVXXlGPHj1K5XNQsXhPCmZnZ2vdunVaunSpNm3apN9//93a1Jafn69GjRqpUaNGatOmjS6++GLVq1ev0AmBpcXU76+++kqjR4/WgQMHrEGMGVynpqZq4sSJio+PL5MyoOKx11kTzDWT5Oecc47uv/9+3XnnncrOzpbT6dRFF12kiRMnWqdMlwQBXdgVFdA1G4pKM6Bb3AYhcwMfG4Sqp7IM6NrrzqRJk/Tyyy9bn2EmNE2ftEePHnriiScUGxtLe1fFFRXMNfXNbBaXpH/84x+69957S/RZpg5+8MEHGj16tIKDg61TrEeOHKlhw4b5/F5r1qzRvffeq+3bt0sqejG+devW+uCDDyQd27Be3AYOVA6mLbIvYj/zzDP68MMPPQK69k1A4eHh+r//+z+NGTOmxAFd87krV67U0KFDdfjwYav9NP2DqKgojRgxQrfeeivP62rC/D3//PPPGjBggFwul0d/znvBu6gbcqXCm9bMr6XCC372xcrQ0FDFxMQoKSlJ5557rnXyf1RUlJKSkoqsg/bNSF9++eUJFxcJ6GLjxo3avHmzJk6cqIyMDGVlZVkbNOwbHk0f0jjjjDPUqlUr3X333UpKSioUHi/KokWL9PDDD+vIkSPWezocDjVr1kyvvfaaGjduXCY/Iyou+zjE4XAoPT1d06dP14YNG/TLL78U+T0hISEKCgrS+eefr9TUVPXs2VPR0dEKDQ0t9sR0ArqQfA/o2jVu3FgZGRmSjs0t2pmxjuF9S2Rxt/wUdbuuw+FQ/fr1lZCQoLZt2yo1NVV16tRRSkqKCgoKFBkZKUn63//+p9dee00rVqwocgxPQLfyWrp0qV588UX9/fffko4HGOwb14wT3ezsvdHN3FDhHTJPSUlRfHy8unTpoiZNmqhevXpq0qSJdRukXVFtKwHd6iE7O1sPPPCAvvvuu0IhxpiYGF122WU6//zz1aVLF8XGxsrhcCgnJ0cbNmzQe++9p++//16ZmZmSjj1/L774Ykmls+5CMBclcfDgQd1www3avn27R+AsKSlJo0eP1hVXXGHVUVNn3nrrLT399NMKDAy0grm9e/fW2LFjPV7nq/z8fC1dulSPPfaYR0DXzD9FRkZq8uTJ6tixI3P3VURRAV0Txj7dgO7Jgrn2kNDzzz+vyy+/XBLr39VZUQFdw96/bNeunTZt2qQjR454hB0DAwOt+SH7vrTi5kjN3iDpeH31Dl80btxYcXFx6t69uxITE9W+fXvVqlVLERER1nrPokWLNGXKFCug671WREC38vroo4/07rvvasWKFZIKh6+l4oM2RY2JzDhIOv5s9q5ziYmJioiI0LnnnqtatWqpa9euqlu3ruLj44tdY7S/V1BQEAFdWOx9wNIca+Tl5WngwIH67bffPA6BczgcuuWWW/TQQw+VyeVEqPgWL16sl156SRs3bpTkOX/k/fwrbl3SHMRhXlPcfKXb7Vb79u2VmJiozp07q3nz5qpdu7YaNWpU5FzRieaPCOhWXW63W0ePHtXFF1+szMxMRUREKC8vr8j+off3FRcg9z5sIzIyUk6nU23atFH9+vXVpk0bnXXWWYqLi1ODBg2K7PsVt1Z0soCu2+22+iIEdIHSQzgXAKoI0yHatm2bbrnlFmVlZal79+4aOXKkWrZsWSqDVNOR279/v4YPH67Vq1cXOjlQOr7JYsqUKTr//PNLfULwySef1OzZs61OqxnIjB49WgMGDCi1z0HFYO/sb926VX/88Ydefvll7du3z9q4LsnaSOG9CSM8PFznnnuuLrjgAo/bSUp7EJGbm6spU6Zo+vTp1mld0vFTjh544AH17NmTwUs1Y4JB9o0+DodDCQkJysnJUUFBgdxutzp16qRZs2aVWv0goAu77OxsffTRR3r11VdPeIPumDFjdMMNN0g6tTbyRBuEvBfc2SBU/ZRFQNeXYK5573bt2mnSpElKSEigzlVxJwrm2jfpOJ1OnXfeeZo6dWqpPPt+/PFHDRo0yOP9u3fvrsmTJxc7EW7YP//ZZ5/VtGnTirwtSDpWv0ePHm09t6nPldO+ffvkdrsVHx/vt4Cu+bx169apf//+ys3NLfLmkosuukgjR44kQFbN2AO6AwcOlNPpLHSDrvcio515zpsQT3EBIO9FSBOO8F6ErFGjhkJDQ5WSkqLGjRurefPm6tChgyIiIlS/fn2P1x45ckRLly7VlClTtGbNGkkqNGdFQLd68n7eZ2RkaPPmzZo2bZrWrFmjffv2STq+GG0Pnds3tSUmJuqiiy5Sjx49dN5551lfL+55P2zYMH377bce9TAmJkbjx4/XxRdffNJ+AqoOe1uzcuVKLV26VO+8844OHDggqfDto/b20X5AQkpKilJSUnTHHXec8ABAArrVk/czzdeArtlMPnToULVr107x8fFatmyZtmzZok2bNmnTpk1yOBwez2gzzjrZRnXpeP02n1PcM7958+aKiopS165dVb9+fTVp0kS7du3S9OnTtWbNmkLjNjOfRUC3cjKHqvz888+SCh+qInkGHewbKs3v7YoKh5vDs+xrRZIUFxenRo0aqVatWjrvvPMUHx+vs846SzExMYUOzTSfZTbM/fHHHxo8eHCh2x8J6FZuBQUFmjlzpt58800dOHDAYy4pISFB48aNU4cOHTxu/PY+ZPWbb77RkiVLdNZZZ+n666+XRDAX/mfqzxtvvKGJEyfq6NGj1p+53W517NhRr7/+umJiYjzGJv/4xz/0zTffWM/wBg0aaOzYsercufNplyUvL08ffPCBXnrpJeXk5HjcVGkOuZ48ebJiYmJK/HOjYijNgG5xwVwzV2V/z/Hjx1sHEbPujeICuvaxy80336y0tDRt27ZN//vf/5SVlaXly5fr8OHDHnuRpONrkKZ99D60yPC+6dR8j32OSTrWL42MjFTz5s3VunVrNW3aVB07dtTChQv17bffFnlQEQHdysf+9/P5559r1qxZ1iFt9oCu9/dIx+fQTXDMHkqzO1mdsx+OGRQUpDPOOEOtW7dWw4YN1aVLF4WFhalp06Ye72neIyAggIAuyowZt3z44Yd69NFH5XQ6Pep5SkqKZs+erdDQUNq6asjtduuLL77QzJkztWrVKkmF54/se3O954/s8+z295Q85+OLmz9KSEhQ06ZNlZSUpPPPP19xcXFq3769atasWWi8bT9sISgoSKtXr9bQoUMJ6FZR33//vW6//XZrbsj7kGvvwwaL+jPza/v/m18XddBLZGSkUlNTlZCQoG7duik5OVmNGjVScnJyofKZfqr91l5u0AXKD+FcAKgCTCdu69at6tevnzIzM62O33nnnaf777+/1AK65rM+++wzPffcc9q5c2ehQYwZrMyZM0cdO3Ys8WcapsO3bNkyDR06VAEBAR5BTDZiVD32Tv7ixYv1zjvvaMWKFcrLy/OY/PaesPQ+od+47LLLdMUVV+iiiy5SWFhYqW+E/P333zVu3DitWrWq0EmHF1xwgSZNmmT9nkmjqm/Pnj165plntHDhQkmet0x419mWLVvqo48+KtXPJ6ALu7IK6Jp2dPv27brlllvYIIQiFRXQ9Z6A9jWga687EydO1IQJE6z39A79NmnSRDNnzlStWrUIP1RxJwvmet/Ak5qaqrfffrvEn+t2u7Vjxw7dfPPNVujS7XarUaNG+vDDDxUREXHC7zXlmj17tp588klJRU/Wm3Y6ODhYo0aNUlpamiTa0somOztbzz33nBwOhx555BGPjb3lFdA90WY2e0iycePGevzxx0u08RKV18kCuvbxQuvWrXXBBRdo/fr12rRpkzIzM3XgwAGPcbr91lz7xoriArv2+mxuG7WLiopSeHi4UlNTFR8fr/PPP1916tTRGWecobCwMH322Wd699139cMPPxR6b4mALjx98803+umnn6x+akFBgcdNTqbeeJ+o3r9/f5111lm68sorC72naWu//fZbPfTQQ8rMzPR4nqekpOitt95SWFhYuf6s8A97G/Phhx9q2rRp2rx5s0ddkwofYiB5tp/2trB+/fp68MEH1aFDB2vzjvd8jve4afbs2QR0q6js7Oxiw9q+BHTtY43Bgwdr8ODBVjDm4MGDysrKUkZGhn744Qft2bNHP/74ow4dOqRDhw5Z32/fzGa/RcWUwf46703Dxc2VJiQkWG3n3r17Pf7Mez2KdaHKw14HvvjiC7311lseAV3vG1BM/QkNDfUIlZ0sGOFd38xYx/tgV/PrunXrKjIyUu3bt9eZZ56pxo0bq3379nK5XIqKivL4GX777Tf94x//0L59+zzqMAHdyse0WdnZ2brjjju0evXqQsHcKVOmqHXr1sW+h30+Kj8/X+Hh4ZJKZ53FHHpEMBcl9dtvv+n2229XVlZWoXXKa6+9Vs8++6wkWYdxXH/99UpPT5d0rI5feumlmjBhQonr9N69e/Xmm29q3rx51jyUdKyNrl27tiZOnKhWrVqxTlmFFBXQlTzbr5MFdE90Y6532Hfs2LHq3bu3JNa7cdxPP/2kf/7zn8rOzvYIitv7hCNGjNDtt99ufU9WVpaOHj2q5cuXa/Pmzfrzzz+1du1aOZ1O64A3w/QHvQMUxYUnTdjRPOe95z1r1aolt9utgoIC7d+/v8j3IKBb+fga0LXXm8TERMXFxWn9+vUe72XqWlHzl/b38J5rN22m/RBO6VgQJygoSO3bt1d8fLzOPvtstWjRQnXr1lVycrLVDq9Zs0ZDhgyxDrOxvycB3cqrouyf+PXXX5WWlqa8vLxC/ybuu+8+DR061M8lRHmzzwt99tlneuuttzwCuva9bub1kgodNnyq80fm/b1v1zWfWb9+fUVHRyslJUXt2rVTw4YNlZqaKofDoRo1anj8DD///LNuv/125eTkFDt/REC38jFzLsuXL1daWprcbrfHXI2dmXc3/U77M7motXLv/UFmzt30Xw3zfg0bNlRycrJ12EZCQoLOPvvsYm8bP3r0qBYvXqwZM2bot99+k0RAFygLhHMBoApwu906fPiwrrjiCu3Zs0ehoaFyOp1Wx6m0A7rSsU0fL7/8st5//31r8GKYjuWMGTN07rnnlsrn2e3evVvXXHONtVnZdEYvvPBCvf7666X+efAPe+d+7ty5mjBhgg4ePOgxuW0fjNgH3PYTsSTPgW39+vXVpUsXPfDAA4qKiir1yaaFCxfqvvvuk3Q8jGkGU0888YRuuummUvssVHwbNmzQ3LlzNXfuXEme4THvems/zbe0ENCFXVkFdNPT09WrVy8dOHCADUIoVmncoHsqwdy6detq3rx5HguHqJpOFMz1PolcOjZZ3a5du1IJ5xo333yzfv31V+tza9asqVmzZhU6adooLphrTr82dd0+IU9At3LLzs7Wiy++qA8//FA1a9bUM888o/POO8/j76+sA7on2swmHX9uh4aG6rnnnlOPHj3K8L8I/MmX+nKigK73hp8HH3xQPXv2VHR0tLZv365ff/1Vu3bt0vfff6/c3Fxt3LhRR44csV5v30Bkn0860YnC9oVL7xP/zfs1aNBAbdu2VWJiovLz8/X5558rNze3yNOICejC++/8559/1i+//KK3335bO3futL7uPWayB8YjIiLUqVMnpaWlqVmzZoX6r3v27NHdd9+tX3/91WMTSGRkpJ544gldfvnl1L0qzv73O3PmTI0fP976M+8go71dtPdv7Qcd2A8ijIuL03XXXafrr79erVq1knTigC436FZN27Zt0/Dhw/X0008rJSWlyNf4EtA19SooKEiDBw9W79691aBBgyLfLzs7W4cOHdIvv/yijRs3atOmTfr111/lcrmUlZXl8VozVrdvgj/RLQKBgYFWO1vU/H9xc5YEdCsXXwO6RpMmTXT22WcrNjZWy5Yt0/bt25WXl+cR1jV1p6jDXL3rjX1jnLmNoqhgRP369RUTE6PzzjtPiYmJSk1NVXJysmrXrq0dO3aod+/eVptq3peAbuX00ksv6Y033vA4sCo6Olrjx4/XJZdc4tf1kvT0dA0YMEC7du0qNozGvHvVVlT98x4v+8I+/2j6emY8fscdd+iee+6RJG3evFlXXHGFpOPzlC+99JIuu+yyUpljX7lypR588EGlp6cXOqgmLS1NDz74YIneHxVPSQK6vs5lSvLYg0FbCG/eAV1Tb+y/HjZsmEaOHCnp+AEZdtnZ2crMzNSKFSuUnZ2tH3/8UVlZWdqxY4dHP9IemDR9Te+1HskzTGSfH7CvaRV365/5PhPQvf32261QL3s8Kq5TCejGxMTo3HPP1R133KGcnBz9/fff+vbbb5WVlaX09HQdOHDAel/TJzB11vtAIjt7SNy+Dul926TL5VJiYqJatWqlWrVqqXv37mrTpo22b9+ue+65R7m5uR7vS0C38snMzFR8fLzV7lSEucCnn35aM2bM8KinTqdTF1xwgZ577jlFR0f7uYQobycL6Hq3c2b+qEaNGlq+fLnS09N15MgRj7DuyeaPDPthqyebP2rUqJFq1qxpzR+lpKQoOTlZSUlJ2rJli3r37l1oj7t3H4SAbuVyooCu93jd7XarZcuW2rhxo0JCQpSXl+fxXt6XUxU3f26e2cUdQGhe17RpU6sf0bRpUzVt2lQtWrSQw+FQZGSkpGMXZE2ZMsW6Qdc75B4REaHLL7+cgC5wmgjnAkAVkpaWphUrVlgdNfvJJmUR0N28ebOGDh2q7du3FzmZPnHiRF100UWl8lmG0+lUTk6ObrzxRu3YscNjsfS8887TpEmTFBQURIewkrN36qdPn65nnnlGkjz+vosa8HqzD8a9J7Pbtm2riRMnnvB2vlNhn0w1i/nmc82fX3XVVRo7dqzCw8OZGK/i7PVhw4YNmjNnjubNmydJhequGSzfcMMNevTRR63T1UsLAV3YlXZA1+Fw6KWXXtLUqVMlHZ84IpiLopTkBl173Zk0aZJefvll6z0I5lZfvtyYa5+4lo494xITE7VgwQLVqVOnRJ/vcrnkdDp133336b//j73zDo+q2v73O5NeIKQQCBBa6L2EJigqRVAEBFF6uQKK16+ioqDXfkVFUUS5V7FcRRAVREGKitJ7DyEECDWE9N7bZOb3B7+9OWcyCSkTEmC/z8NDMuWcMzlr9t5r7fVZa/NmXQD8o48+stlN73rCXLER7ubmRm5urs1xWgl0by7S09N566232L59u+wwpi0spbUJ7Rz6/vvv8+uvv5Yq0L3rrrt49dVXqVu3bql2cL2Oudp5W1swRq0Jbz2EnURFRbF161amTJlSou2UJNC1lQT5+OOPM2PGDF1nscLCQiwWC+Hh4SQnJxMaGkpYWBjx8fGcO3fO5qahdcV/W0nH2p9L2oQU2BL6KoGuQov1OJecnMzKlSsJCQlhz549xWwTKJa84efnR/369Xnqqafo2LGjLoli586dPP7448W6sowePZr58+ff2A+ruKGUFNsUa1dtjFL4NH5+fjL27ejoSF5enu411jbo5uZG9+7dmTlzJj179gSUQPd24vLly4wdO5aUlBRWrlxJt27dSnxteQS6ooPuI488QsOGDQG9HdmaLxMSEsjKyuLQoUMkJiZy4MABYmJiSEhIKJYAp63+r00Atk5XKMmXs/W4eE4JdG8etDa5efNmli9fzqFDhwB9BxS42jGqZ8+evPnmm7IYTFxcHAcPHpRdnbOzs212MdPGDKy78lpfh/V7rPeeatWqhZOTE02aNGHw4MFERESwfv36YkXBlED35sFisZCens5TTz3FkSNHdJ3s7r//fl5++WW7iwrK6mNbLBby8vLo378/GRkZuLm5kZeXp4S5twHWNpKbmysLYHh4eODg4ICnp6dONFZa/FscLzk5mX//+9/88ccfgF7wVb9+fZ588kkeeeQR4uPjuffee+V3wWAwsGrVKjp27Gi3z/jtt9/y3nvvAdd8erPZTN++ffnyyy/l44pbB2uBri1hpLVAt7CwECcnpzLFMpUwV1EWbAl0rW3p8ccf59lnnwWQY2RJwrXs7GyMRiOnTp3i/PnznDt3joMHD5KVlUVUVJTObxHjnLawvziHLfGF+Flgq7iReNzX15f77ruPGTNmVHq/S1E5xPiTkZFB7dq1bb7GWqC7fPlyjhw5AugLFVksFjw8PLjnnnt46aWX8PX1lf56REQEsbGxREREcOTIEdLS0ggNDdX51VqbKynWDiV36Csp1t63b1/CwsJKFAcrge7NweXLlxkzZgydOnVi6dKl1S7QFTa4adMmXnzxRZ0tCxtcunQp/fv3r5brU1Qt11u7lUWgK+zF39+f3r178/rrr+Ph4cGlS5eIi4vjwIEDJCQksHfvXnJycnRjmPY42iKa1kWKAZvxI+tcZAAvLy+cnZ1p2rQpQ4YM4cSJE2zYsEH3OiXQrflo52xbdlqSQFdb5Fr8P2PGDO644w4Adu3aRWJiIqGhoSQkJEixrnYe1h5fW8TQeh4Xfr3Wv7e2STc3Nxo2bIivry+9evWiYcOGtG3blkOHDrFp0yaOHDlic92pOugqFBVHiXMVCoXiFkAsvObMmcOGDRt0QZKqEuiKcx48eJB//OMfMhBkMplwdXWlbt26fP755wQFBdnjI+rOm52dzfDhw4mJidElcgwcOJAlS5bY9XyKG4/WuVm+fLlMVtR2jxC/+/r60rVrV5o0aSIdnOzsbPbt20dSUhLp6em6qn/i+CKg2KRJEz766KNilVgrijjP+fPnee2116QDo002WrZsmUyYU9w+2BLoWgttABYvXlwlXcrKKtCdOHEiY8eOtfv5FTULewt0T58+zapVq2SHaBcXF9kdTSUIKaypSAfdigpzbVW3Vtw6XE+Yq00eB31iQ61atVi1ahXNmjWzy7UIka02WP7yyy8zadIk3evKKsx94IEHmDlzJk8++STR0dFKoHuTk5aWxpgxY4iKisLZ2VkKFl944QUee+yxYq+3t0C3NGEu6BPh/v3vfzNmzBh5fJUMeWsh7CMyMpIxY8bQvXt3KRK/3ntsddAFvf089dRTTJo0CS8vL917rcnNzeX06dMkJSWxbds2kpKSOHXqFGlpabKqsMDBwUHXZUK70a5Fm0BkXeHX+mdrge6QIUN4+eWXqVWrlrL72xztZrfRaGTlypXs3buXnTt3SpsXog0R4xHvE8/dc8893HHHHUyYMAGz2UxeXh5z5sxh27Ztuq4pQJUUNVTUDLRjyapVq3jttdeA4rHNBg0a0LRpUyZMmICvry9t27aloKCA6OhoMjIy+Omnn7hw4QKnTp0C9AUAtWvC5s2b88ILL3DnnXcWOz8oge6tSGRkJOPHjyc5ORlHR0c+/vjj63Z3rKxA1xptlx3rc4qYUEREBOHh4Vy6dIl9+/aRm5tLZGSk7rUimc1WorrAOkHIOpnYwcFBfrdeffVVWXxQUb1cuHCBI0eOSP/CmusJdLWdo1xcXLj33nuZM2dOMZvMzMykoKCAgwcPEhUVxcmTJzl58iQFBQUkJCToXmvdzVl7LVq0XSlK6o4iCmrZStjUvlYJdGs2x44dk+s27b18//33GT58eKWOXdY4TWmvW7duHXPnzgXAyckJi8WihLm3CX/88QcXLlxgy5YtZGdnk5GRgYuLCwaDgRYtWtCpUye6detGz549yxz/3rRpEwsXLiyWXwFXC1pPnz6dbt268cADD5CdnS3jTuvWraNhw4aVXhuKcT8qKorHH3+cS5cu6eZ9BwcH/vjjDwIDAyt1HkXNpKwC3SlTptCuXTuMRiOnT59m4sSJSpirsBvWAl1bnZy1At3SKCkOn5eXx6FDh0hOTmbv3r1ER0cTGxtLfHx8sWNou/ddr1AhFC9aVFLBTcWNR9jDpUuXmDBhAosXLyY4ONjma60FuqV10HVzc+Pee+/lxRdfpF69ejbPa7FYOHPmDOnp6ezevZvLly8TERFBZGSkLo4vsO7Qp70uLVrBjyjaYf2c9fuUQLfmc/nyZcaPH09SUhKArshZTSh4Pn78eI4ePSptTIxzd911F++8846yp1sMMXZeuHCB0NBQRo4cafN1ZRHoite5uroyaNAg5syZU2zcTEtLIz8/n0OHDnHp0iVOnTpFeHg4hYWF8jshuF78yFp8KeZ0bf68wN3dnZycHJvFEZRAt2YibDMlJUUW6yvtdbYEuoBurn3uueeYPn26XD8mJSXJ/fKjR48SHR3NgQMHAIoJyLX2WFL8HK6tFbWFra2LIAIEBASQn5+P0WiUtq8EugqF/VDiXIVCobgFEAuf1atX8+qrrxZb5Fe1QPeLL77gk08+wWQyUa9ePfr168fjjz9O48aNq2RRlpuby5AhQ2QAUzgsDz74IB988IFdz6WoPjZt2sTLL79MXl6e3FgUdt2jRw/uvvtuHnzwQZudb+Pi4khISOCDDz4gIiJCOi1ap1wEcQIDA3nvvffo3r273a7dbDbz3//+lyVLlkjHSDg9Dz30EG+++SaOjo7KYbnNKE2gK+zRy8uLzz//nK5du9r9/NcT6BqNRurXr8+0adOKiYkUtx72FuiePXuW5cuX8/PPP8txViUIKUqiPALdBx98UFZ7/uyzz1i8eLF8j/UYqoS5tw+lCXNFIoNYe/n7+5OXl6cTNxoMBj7//HP69etnl+vZsGEDc+bMkcc3m83cfffdfPLJJzg5ORVLpihNmDt06FAWLVoEQEhICM899xwxMTFKoHuTIu776tWrWbBgAVlZWdJOe/XqxauvvkqLFi2Kvc9eAt3yCHNVMtutjVaYO2HCBJKSkujTpw/ffPPNde93aR10rTePn3rqKaZMmUKtWrVKPI4toqOjSU5O5syZM4SEhJCUlMTRo0cxmUyyarDAOoHIOlmttI5otjbO3dzc6NWrF4sWLcLV1bWcf1lFTcSeIuu0tDTOnj3L559/zuXLl3XdT2zFmMRz99xzD/fddx/3338/O3fu5KmnngKuCcmNRiP/+Mc/eO6559SYewuzY8cOXn31VRISEmSxATFe3nPPPUycOJEuXbrg4eFh8/1FRUVcvnyZH374QfpOcC2+qRWKN2vWjOeee46BAwfaPJbWzv773/+yYsUKJdC9Sbl48SKTJ08mMTFRFkebOnUq8+bNK3O3CbCPQLckbCV0FhQUkJ+fz9GjR0lNTeXgwYNcvHiRuLg4YmNjda/VJqiVlqguxmLhSw0fPpz333+/XNeqqBqioqIYNWoUHTp0KHW9WR6BrpubG/3792fevHnUr19frgdFEqSWjIwM0tLSOHbsGCkpKezevZuEhAQuXbqkS07XdjrRFoQpTRhhqxis9n9AF98CJdCtyaxZs4Z//etfuvHG39+fH374gYCAgHKtK22NUQaDgcjISBITE8nPzycvL4+6devi5uZGUFBQiWO2tWhj9uzZuudV3P3WJCMjg71797J27Vq2b9+uS97W5nqIx319fWnZsiVPPfUUQUFBeHt72zyu1p7mz5/P8uXL5fwJ14oNde/encGDB7No0SLy8vIwGAx4eHiwefNmfHx87PpZZ8yYwa5du+RnEeLzX375hVatWtn1XIqaQ1kEug888ADPP/88WVlZjB8/XsUyFXbHlkDXOr5ZVoGulpJEbRaLhStXrnD58mViYmLYtWsXKSkphISEFMvp0xYtElgXELHlBz3wwAN8+OGHFflzKOyANu4+adIkEhISWLNmTakNIsoj0HV3d+eee+5h7ty5+Pv7S1srbZ2amZlJVFQUV65cYe/evaSmpnLs2DHy8vLIyMjQvfZ6NiewFWu39Xm0ftBjjz3G5MmTbQqLFTeeyMhIRo8eLefWoqIizGZzjRDoivP++uuvzJ8/n5ycHJ2v7e/vz0cffURwcHCNEBErKo8YO6OionjooYfo0qULX3311XXjR2UR6Lq7u3Pvvfcyb948/Pz8So0fpaSkkJ6ezpEjR2RhjYSEBKKiomzO0/aIH1l/Hus1yOTJk5VAtxrRzuvPP/888+fPp3Xr1td9vbVAV9xT7byoLXJty9YTEhLIzs6Wdnj8+HEuX75MRkYGWVlZ8nVij1Ecw7rYRkn2qH1ezPfaOd96vQlKoKtQVAQlzlUoFIpbiIMHDzJ58uRij2sXZPYW6MLVCuivvfYaOTk5jBkzhqFDh+Ln52fXZDi4tgAMCQlhypQpMhFULGLnzZsnF7mq08nNzYkTJ3j77bc5fvy4rroUXK3c9swzz9CgQQMZMLIWYgiysrJYt24dGzdulMFMrW0I26lTpw4ff/wxvXv3rvS1C/srKChg4sSJhIaG6hzyoKAgVq9ejbu7e6XPpbj5sCXQFQm8ItgZHBzMq6++WqpzX1FKEug6OTnJrhbffPMNffr0sfu5FTWP5ORkfvvtt+sKdF977TVZbbe0QMu5c+f49ttv+fnnn3nuueeYOXPmdd+juH0pq0BXVIj85ptv+Oijj0p8rRLm3j6UR5gbHBzMhx9+yIwZM4iIiACuBZNfeuklpkyZYpdrEmK3tLQ0mczRpUsXfvzxR6DsHXO1wtzCwkKcnJw4ceIEzzzzTKkC3RdeeEF+FuUL1UzOnTvHK6+8QkhIiC6h7JVXXmHixIk231MZga62eIG1MNeWoFIls93aiHt6+fJlxo0bR3JyMgB+fn6sX7++xAReW8coawfdkgS6WsTYV1IyUVRUFLm5uezatYvo6GiOHz/OxYsXZTdSW4nK2grAtoS42nNrE/AefvhhOTYrbi7KO++VdYyz3sBOT08nMTGRr7/+mkOHDnHlyhWgeCdTbWfcWrVq0apVK15//XXeeecd9u/fr+tQ5enpyerVq2nWrFkFPrmiphMXF8cHH3zAH3/8Uazj4ogRI3jppZeoU6cOYNsurR9btWoVa9asISwsTLce1K5969evzy+//IK3t7fN74XqoHvzk5WVxbBhw4iLi9PNY8OGDWPhwoVlOsaNEuhqz2XLxsVz8fHxnD9/npiYGHbu3ElycjLh4eHk5+fLxCJtsppWmCQetxbmqvVs9aLt7NytWze+++67UmM0lRHoWic5lmRvQgR05swZLly4QEREBAcOHCArK4tz587pxmixl2qrG0VJSeq20m2sBboPP/wwc+fOve4aWXFjefvtt1mxYoXuPgYFBfHLL7/g4uJS5uNo7a6goICwsDDWrVtHWFgYUVFROhGEsK3OnTvTqFEjHn30URo1akT9+vV1x9R+N/7880+eeeYZAObOncu0adOKnVdxcxMXF8f7779PSEiIrrMt6EUy2r1E4f/WrVuXe+65h3HjxtG2bVubx9fayvTp09m9e7fOFxfryz59+nD06FEKCgrk86tWraJ9+/Z2iTmK6/7444/5/PPPdWOuyWTiP//5DwMGDKjUORQ1m7IIdPv378/BgwfJzc1VwlxFlWDPDrqlUZofdO7cOVJSUjh48CARERFcuXKFiIgInJycrluoUPhuyg+qfkqKu4vcxdLuSWUEuiUdV8yztp6Pjo6moKCAI0eOcP78ec6ePcuJEycoLCwkJydH99rSOkZaF6MRaAVAzs7OFBQUAPDhhx/ywAMPlP2PqqgSLBYLn3zyCZ999hkuLi7y/ojnaoJAF+DSpUv84x//0O2Ji2vq3bs33377bbVcl8K+aMWPIn7Us2dPli1bVqq/URmBrnZc1AoarcfKvLw8HBwcOH36tBwr9+/fT3Z2NpcuXdIJIUuLH9nCVrENW4UNxo8fz3PPPYenp2eF/r6KiqOd18eOHUtKSgo//PDDdRvslNZB1zo++PTTTzNp0iQZHyyt6EZ+fj45OTnExsYSEhJCfHw8u3btIj09nejoaN1rRXxAjN9awS7YFt6K36/3Ok9PTwYNGsRLL71E7dq1r/+HVChuc1S2qkKhUNwimM1m6tevj5eXF5mZmTLJG64umrRBmD179gDYTaDbqlUrZs+ejbu7Oy1btsTNza1KksLF8cLCwmSgQNtxQAjZVDL6zYtwVvbv38+ZM2cA/T0ePnw477zzji6ZQzgV1sEhkeg4evRoevfuzaJFi/j77791rxG2kpaWZrdAtdjEdHZ25qmnnmLu3LmkpqZKZ+v8+fMsX76cxx9/3C7nU9xctGjRggkTJgDwww8/6ILawjEOCwvjv//9L08//TRBQUF2Pb+bmxt33303gBToOjs7S2Hup59+qoS5txG+vr6MGDECoJhAV1ROy83N5a233gLgoYceKjFICVfte+LEiQwdOpS+ffsCaiNQUTJOTk688MILAHz33XdyPDSZTDJ5PSMjgy+//JJ9+/bJ9asS5t7elCbMNZlMuqIunTt35ssvv8TNzU0m8GirmQohgj3w8fGRokeRJBcREcH58+dp0qSJtMmyCnNNJhNOTk4AdOzYkcWLFxcT6Gorri5cuJDs7GyefPJJ5QvVUFq0aMHYsWMJCQmRwuvCwkIWLlxIp06d6NSpU7H3aKvlv/jiiwBSoKtNwjEYDOTl5bFz507+/e9/88orr+Dv7w/A6dOnmThxok6YCyqZ7XZDW306OztbdqSBq8V7yiLOFeNNcHAwy5YtY8qUKTpb1s7jS5YsAbiuQFeM3+Jn0CclBQYGAsiuOQUFBSQnJ3P58mUOHz5MYmIi+/fvJz8/X3bc09q4deVqcXzQdx0aPny4HJtVgYObC21xtMLCQvbt20daWhpRUVFkZmZiNBrx9/endu3atGzZktatW5c5oUHYgfjfy8sLLy8v3n33XY4fP87Ro0f56quvyMnJITc3V9q/WIuYzWays7M5cuQIEydOpFatWrrkekdHR7Kysvjxxx95/vnncXJyUrZ3iyDm0lOnTrFt2zZdsQ2AwYMH8/bbb8u1HmBz7rVOFnrkkUfw8fHhX//6F+np6cC1QgNirfvWW2+V2tVM68//85//BJACXe0awGg0EhYWxoIFC3juuefo0aOHWh/UEETCrHVH2XPnzukSyktDm/x199138+677xYT6GoF5V9//TVAhQS6YlwrreNFvXr1ZBedhx9+GLha2CYpKYmQkBBOnz5NXFwcp06dAq7N9dokIpWQXnO4fPkyEyZMIDk5GWdnZ5KTk8nLyyt1/tXa5ODBg+Xjhw4d0u1rGgwGcnNz2bFjBwaDgblz5+oEuqXZm6OjI0ajkTZt2tC2bVuZHJ6Xl8exY8dIT09n3759squZdYcUcZ3a2IN2jWn9OQD5vPguZWdnK2FuDUTsi2gLXLu7u5drXaaNVf35559s376dX3/9VT4vYkIODg4ysdxsNhMaGsqxY8fYvXs3/v7+PPvss/Tq1Qs3Nzf5XmFT9913H++//z6xsbFKmHsLEhUVxezZszl58iRwrQCLNilWa5NiTBR+RWJiIr///jseHh40btwYDw+PYucQ8VJHR0fee+89nnzySUJDQ2USsIhB7du3T/d6gKNHj9K+fXu7+CviuyLE6OIzinWMdQKx4tZj8ODBLFy4sJhAVxtX2rFjB6CPX6pYpsKe9OzZk48//riYQFdrh0uXLgWolEDXljBXEBQURIsWLejZsydwdV168eJFUlJS2LNnDykpKbKLn/ADtYWKioqKGDFiBAsWLJDPqe/CjUXs0YnivcnJyTJWLkS6pd0Trf8wZMgQ+fjRo0eL+UE5OTls27YNoFSBrphnrQsYAdKf1xYJTEpKIiUlhb179xIfH8/+/ftJTU0lNTVVjs3ieOLzivWs9WfRXoO28YYS5tYMDAaD3AfSCnPFc5s2bQJg4cKFxQReN5KmTZvy1FNP8fLLL8s9d1GUNTQ0lLVr1zJy5Mgbfl0K+6EVP2rjR0lJSeTk5Nj0ZQTacXPo0KHy8WPHjtkcN7du3QpQTKCrjYFb4+TkhIODAx07dqRjx47AVV9FxI9SU1PZv38/ly9fJjo6mpiYmBLjR9rYra34kcA6fpSWlqaEudWAtWhcrBGtO87bQsSUevXqxbJly5g6dapuD10ba//kk0+wWCxMnjyZWrVqFdsnh2vzt5OTE97e3nh7e9OuXTsAnnzySQAOHz4sC1ufPHmS7OxsoqKidEJxrYDc1txtS1CuvQ6R95SVlcWvv/5K165dpR+mUChKRmWsKhQKxS2C0WikcePGNG/eXFYFAn2Co7byj70EumIxaN1xtKoSyi5fvsyGDRsAfUJ7x44dadGiRZWcU3HjEA74119/LatRCeegb9++zJ07V97369mY2Dh0dXXF39+fmJgY4JpDoa20+uWXX9KzZ0+7JeIKxykoKIhGjRqRmpqqq9IlOrcpbk9KE+gajUby8vLYvXs3Tk5OPPnkkzRv3tyu59cKdL/88kvCw8OBq+LMgQMHAiop/XbCx8fHrgLdNm3ayJ/VRqDiepRFoJuenm5TmCuS0JUw9/ahPMLcLl268N133+Hs7IzZbKZJkyZcvHgRuLYW3LNnDzNnzsTNza1SY1VRURG1atWiZcuWxMbGyo1pUcVSFNr4/vvvyyzMtbbjjh078sknn/DMM88QHR1dTHRWWFhIVFRUhT+DomoR66qRI0dy6NAh1qxZQ2FhIY6OjhQUFPDzzz/TpEkTvLy8ir23IgLdt99+m8WLFxMTE2NTmKtNjlDJbLcHFouFX3/9lezsbNzc3GTX2aSkJE6dOkWDBg3KdJyqEOhaU1qnRwcHBwICAggICKBXr14ApKSkYLFYOHbsGFFRUZw8eZITJ06QmZlJSkqKbrNRjM9OTk4yIV6JeW4+tL5qXl4e58+f58svvyQqKkr6trZwc3OjXr163HPPPdx5553ccccd8rmy3nvxus6dO9O5c2fuuOMOTpw4wffffy8LzIlkITE+Ozg4kJGRIQspimsXtikSR5ydnZUffotgNBpJT0/n448/JicnR5dE3rFjR55++mlZJKE89zs7O5tvvvmG9PR0mTihjW1+8cUX3HXXXdc9blkEuiLx4/jx4/zyyy8yWVhR/fj7+9O4cWPi4uJ0CTRXrlwhLS0NX1/fMh3nRgp0S8JWt2jxeIsWLWjRooXcc8rPzycyMpKMjAx27txJfHw8R48eJSoqisGDB6u5vIag7Xji5OREQUEBkZGRXLp0iQ4dOpT63vIKdLdv3w5QTKBbEuI57Tzs4OCAq6urLFQpEuITEhKIjo7mypUr7N69m6SkJI4ePSrXu6BPnBTXJZKGxfPaYjAjR47kvffek8+p+b760RZ5Ab0Y0mw2Yzaby5SQLtZ+cLXw6Q8//EBqaiqA9MPFuk/4INpuP0ajkbS0NFJTU3niiSeYOHEiQ4YMITg4WGdTBoOB4cOH686rxrtbg6ioKCZNmkRcXJxO+CIKV4u4kLbQlHZcFD83b96cIUOGlJrMLuKRfn5+zJ07lzfeeIOzZ8/qYktwLadEnOP48eNyT7OydidsV3wvxHdBxPrL07FacfMyePBgPvzwQ55//nmdQFcIGOBa8wGtUAFULFNhP26UQFeLtdgB9OtS0f1cFMBOSkoiNzeX8PBwQkNDiYyM5PDhw2RlZTFw4EAlzK0BpKen8+ijj5KWliZjznDVN4Lr35uqEOhaH98arcDbz88PPz8/WRwzOzub/Px8zpw5w7lz54iMjOTQoUNkZWURHR0t1wig764r1rjielXcvWbSpUsXWdBa5FsIapJAVxQ0PnHihIxjin33PXv2SHGu8q1vTqw75or40YULF4iKitLlm9nCXgLdkrC2eXFMDw8P+vXrB8CwYcMwGAzEx8dLke6uXbtITk6WRbrF2lXr74jr0iLGTrH2VfGj6kH44ZcuXWLSpEkkJyfj6upKXl4eJ06coH///mWKPZrNZnr27Mm3335bTKCrXWN++umnAFKga01JBQjFnpDRaJTrxUceeYSCggLS0tI4efIkKSkp7Nq1i8TERCIiIsjMzNTliIgcIxFz0vpf4n9ht8I24ardK2GuQlE2VNaqQqFQ3CIIZ1RUx9dWbtb+rO2wZA+B7o12Ao4cOcK5c+eAa5UBLRYL3bp1o27dujf0WhT2RQTx1qxZQ1pamk504OPjw6hRo2Qlt7LYnaj8k5mZyYwZMwgPD5fH1HaV+OKLL7jzzjuLORn2oGHDhjz22GPMnj1bbqICbNq0iQkTJtCtWze7nEdx83E9gW52drYMrleVQPeee+6hqKiI//znP/zf//2fEuZWE9q/d3VtTPj4+MjkHnsIdAVqk0VRFq4n0AX9JrUS5t6eVFSYKwLeIjFNW5k0PT1dimcqg7iuDh06sHPnTrkGNZlMnD17ln79+rFs2TLeffddoPzCXEGHDh1kB93o6GicnZ0xmUyYzWZGjBghj6/m8ZqH9n7cc8897Nu3j9jYWGkDu3fv5uGHH6ZTp042N7vLK9DdtWsXjz32GMePH5ddUoXvo5LZbk8MBgMBAQHAVTGjtgJuZmZmuY5VmkBXW1xDK9CdPHkytWvXrvD1C9sU3w3tOCdiYMKXgasCnrS0NA4cOEBiYiI7d+4kJSWF2NhYsrKy5PdBu8mtvgM3B9r7dODAAf7++29+/fVXsrKygGtVnEWCmTapvbCwkEuXLvHtt9/yzTffMH78eO644w4GDhwok8Ovl2xk3XWidevWtG7dmuHDh/PLL79w6NAhNm7cKMd3bWdLcX3if/EvNDSUL774gmeeeUbN37cAwjYiIyNJTk7WzeEmk4ng4GDZFbyssU1RmXz69OmEhITIRB7r2KYQ5mrfVxKlCXRF0kVhYSGdOnXizTffVLZZQxD3zN3dHUDXMc9gMJCZmVlmca54f3kEul999RVgX4GuFls2Kz6zi4uLTBYODg4GICMjg+zsbLnGUXN59fPbb7/JxEptbCcvL69M769qga4WW3O+eH/dunXx9/ena9euPPjgg8DVosFpaWkcOnSIc+fOERUVxenTpzGbzbKTmUBbXNZisTB8+HC15qyBiLnN2dkZQCd+TExMJCcnp9Ru9OI9wpbeeustVq5cKZ8TMSoRW7eFNglSfF9WrFjBmTNnePjhhxkxYoScs63nYmVHtwYxMTFMnz6duLg46TtoY50AgYGBeHp6YjQaSU1NJSMjg/T0dPnaoqIi/P39mT17Np07d77uOYUtdezYkVmzZrF48WIiIyNLnIctFgt//fUXp06don379naLOyYlJQH6BGBXV1ddNz/Frc2gQYOKCXTFWKztFq3t4vzvf/+bMWPGAGpOVdiH6hDoWmNrXSq+B97e3vj5+REYGMh9990HXB0/MzIyZO6I+i5UHwaDAS8vL7y8vHQxZ4Dz58+TnZ1datEM7XGqUqBr63ygj7WLx93c3PDw8KBPnz6yiFFOTg5FRUUcOnSIhIQE9u7dS2RkJElJSSQnJ0sxLlxbU6uuzjWTevXq4ebmRm5urs3na4pAt0WLFtx1112EhoZK2xfx+/Xr19O9e3fGjh2r4pU3MWvWrNF1Gxfzb0XiR1Uh0NVS2jzt7+9PvXr16NGjhxSNX7x4kZSUFI4cOUJERATR0dGcPn0aoNh3z8nJSV5nUVGRih9VIwaDgYyMDKZPn05iYiKOjo7k5+cDV2OCULY4TGkCXdGRvqwC3ZKuUyumFbbj7OyMv78//v7+AIwYMQJHR0ciIyOJjo7mzJkzHDx4kJSUFE6ePImDg4P8fGIdIPadtJ9F7HWqghsKRflQmasKhUJxiyAS0vv06cPWrVt1ldMbN25Mbm4u8fHxcoFk7w66ZUGbMOzk5FRuRz4sLIyPPvqomGioffv2TJs2TXcOxc2HWLiHhYUByM1Hs9lMvXr16NevX5kX99rktRkzZpQ5eU27Ua6t8lcZp6Jv377cfffd7NixQya4OTo6EhMTQ7du3ZTN3qRYV5G2Vd3seve1rAJdg8HArFmz7C7QdXV1ZcCAAfTo0YN69eqV+boV9kGMLYWFhTIJSIw1Ym68kffD19eX4cOHY7FY+M9//mM3ga5CURZKE+gKtN0BrIW5ImFYcWtSUWGuVujavn17Nm7cqKsGGRUVxbFjx+jTp0+lxlsxDorOk+IcAOfOnWPVqlWVFuYKhED32WeflZ1yhw8frja5byIGDhzIH3/8wYYNG6Qdx8TE8OGHH7Js2bIS5//yCHRzc3PZt2+frvMIKGHu7Y4QrmjHwaKiIi5cuACUzw+4ER10S+N6Ff9dXFyoV6+eLD4zZcoUzGYzZ86c4cqVK1y4cIGsrCzmzp0LqO/AzYL2Pv3yyy8sXbqUmJgYXfKGeB1c6/YESNvQrh9WrlzJ9u3b2bdvH6+++mq5koy0Nig2vseOHcvYsWMZOHAge/fuZdOmTWRnZ8vXi++NFtFBPS4uTtnhLYKwjb///pukpCT5u8lkwtvbmwkTJpS5G1hpwlzhE4FtYa6w59DQUBo0aICfn1+x49sS6K5cuZL09HQKCwvp2LEjy5cvx8XFRRVCqmG0b9+e7du3y3toNpvJzMwkNDSUpk2blmtOrwkddEvD1rgortfT01MW/1BjaM2gUaNGAMXmu7CwMIKDg8t0n26kQNca6+662iT1wMBAGjduTKdOnQAoKCggOjqa9PR02V334MGDUiwhGDZsmEpeq+EIH0XbFUQU+ylNnKudb+fPny+FuSLuox07rb8T4nyA9Mu0QkshfMjJyWHcuHEqBn+LkpKSwptvvklkZGQxYa6Xlxf3338/ffv2pW/fvri5uQFXx54zZ86wceNGNm/eTExMDACvvPKKFNCUdR3g7OzMnXfeSWpqKl9//TUxMTG62JK2Q3h+fj7vv/8+H3zwgUz2rSjCjoU4VzxmMplwcXHBycmpUsdX3FzYEuhqu9Rrefzxx6UwV/knipKoyD5PSQJd7Vy+dOlSDAYDs2fPrpoLt8JaPCnWAWazWXY61T6uqB7EGs/T01PuVQobFIUCy8qNFuhan1tgXZjQbDbLAmH33nsvAGPHjgWuipXOnDlDTEwMe/bsITMzk2PHjqk9yxqK2WzGw8ODRo0akZKSIu3VmuoW6Arbe+qppzh27JjMaRbrUpPJxHfffUe7du2kf664+RDFK627dp44cYIuXbqUO35U1QJda0qLHzVt2pRmzZrRvXt34Gox4aioKNLS0mT86PDhwyQmJsr9I1Dxo5pAenq6LMCnLbobGxsLlP2+2LODbmlYrxetrwGufteaNGnCHXfcIbUVYWFhZGZmsmfPHqKjozl//jyXLl2iqKiomDhXCXMVioqhohUKhUJxi+Hj4yM3/kTS2R133IGTkxOrV68mJyen2gS6BoOBlJQUfv31VwoKCpg2bRqurq7y+dLEbmFhYfzf//2frE4jxEK1atVi0KBB1KlTR55DcXNisVg4c+YMR44c0XURcXBwYNSoUXh5eZVpkW+P5LXVq1dz5coVZs2apbPRilCrVi06d+4sE0UMBgP5+fn89NNPDBw4sNLHV9wYrG1PjDWFhYXk5eXh4uJCUVGR3CQvayfUsgh0RZCoKgS6bm5u8pq1162oWoRdXLp0iRkzZtCyZUuaNm1Khw4d6NixIx4eHvj4+Ni8H1UZ/Pb19WXEiBEYDAZdB12xGa4V6FosFkaNGqWSgxR2ozSBrnZzqKioiNq1a/PJJ59IYe6NrtiquHGUJswVc+X1hLlwtVgRIMczEVg+f/48ffr0qdT8J8a/3r174+npqavqumnTJtasWQNUXpgr6NChA4sWLWLChAn069dPBcNvIsQ9evnllwkPD+fChQs4ODjg4ODAkSNHWLFiBRMnTizRHssj0AVkEgig656rhLm3J61bt5ZV/LWixYiIiAolrlWkg649BbrWlLYJaTAYcHZ2pmPHjnTs2FH3nPoO3Bxo79O3334rq4eDXnAuOjsJtEkR4nmt8CE2Npbvv/+eS5cuMXfuXJo3b17uBF/rjs5Dhw5l4MCBTJ06la+//prw8HDZWU8kEYnPU1BQQLt27XjjjTeUHd4iCDu4cuUKgEwCslgsBAUF4ePjUyb/xR6xzWXLlvH333/zyCOP8OCDD9o8r7VA12g0snjxYjp06MCKFSuUMLeGIcYJIYAURQkEaWlpQPljezVdoGvrekEv3FVjaM0gKCgINzc38vLypN0AXLp0CSj7fapOga71dVj/LI7t5OQkuzt26dIFgMzMTPLy8jh58iRhYWEUFhbKDmtqzVlz6datG9999x2ALHiQnp7Oli1bSt2LEffziy++YPny5QByvtQWjWnQoAGBgYEy+TgmJobs7GzCw8MpLCyU46tIghRzc2RkJF999RWOjo6MGTOmmL+vuLkxmUz89ttvhISEAOiEuX5+fsyfP59u3brp/OeCggKdXztw4EC2bdtG69atGTBgAFB+UVqtWrW4//77ycvLY/ny5cTFxRUT6Ap7Pnv2LD///DMTJ06UxTEqysmTJ+W+p7bzzwMPPED9+vUrdWzFzUdJHXS1jQgA2eWpXbt2yj+5hbEex1JSUgA4c+YMCQkJFBQUyA6l3t7eNGzYEEdHR9q3b4+Tk5Mshm3rWKVRlg66n3/+OcANE+hqEesO6/WkWl9WL6KwS7t27Th58qQsumKxWIiOjubcuXMEBweX+XjVKdC1dS1g28bE96Jx48Zy73X8+PE4ODgQHh5Ohw4dAOUD1TSMRiOenp60bt2a0NBQuV9tK0e3OgW6QhQuvgdCRKZdl0ZHR0t/zdPTs8qvSWF/goKCcHZ2prCwUHdvy9OhFKpXoGt9HdY/i/O7uLjQokULADknpKenk5ubS1hYGGFhYVgsFhU/qgEEBgYSFBQkY+xinDxz5gzJycmlFnCz5kYJdEs7v/Z/7Rgu5mlR4CstLY3k5GSio6PZu3cvCQkJHDhwgOTkZAYMGKBykRSKCqAiFgqFQnGL0aZNG3x9fUlPT5cV/VJTU/nwww+Bq8m7GRkZ1SLQzc7OZv369Xz77bckJiaybds2nn32WZo2bUpAQIBNZ+Xs2bMcPnyY//73vzphrtik6tChA6NGjdIFWhU3J0K8nZeXJwMuAtGJrKqEuXAtofKTTz5h7dq1mEwmOnfuzL333lthB0MEASZMmMDmzZs5deqUPFZycjI5OTlKnHuTIO5/dHQ0Fy5c4PDhw5w5c4bs7GzS09NxdHTE2dmZli1b4u/vT//+/WnatKluk7qkTaDqFugqbixiDIiMjGTSpEkkJiYSGxsr77Gbmxve3t706NEDPz8/+vXrh4+PDw0bNsTT07NY0FsEhOwVBBECXUAn0LXuoPvvf/8bQAl0FXZFCHQNBgPLli3TjYfaOdtsNnP8+HF8fHzkGkFx62GPjrkCf39/KS4Q60KTycT+/fuZOHFipTcVLRYLLi4uumuzWCxSqCt+r6wwV9ChQwc2btyo60ykxuCaj7CD2rVrM3LkSD7//HNyc3Pl+LZ7924eeOABvL29S1w3lkWgKzYaxXGNRqP0g9544w0lzL1NMRgMugRHYSPayszlpSIC3cmTJ1c6kbe8lDa+q+9AzUfr62iFueK+isQN0TXZ2dmZxo0bk5ubi4ODA5GRkRQUFOgqXYsxVvzbs2cP//rXv3jiiSfo06eP7AhRHrRjtoODA0FBQbz22mukp6ezfPly9u7dS3h4uG7TvWPHjkoAeQuSkZHByZMnAXSC8ebNm5fJtioa2xTrZLjawW/t2rVkZmaSmJjIwIEDdYXZtGj9+VmzZuHn58eIESNKXFcrqg8xdgUEBADX1oVi/ImIiAAqtsYrr0D3q6++AqpPoKuomYh9Du08C+XvMAEVF+jOmzePevXqVZmvY90dBa59Xnd3d2rVqsXdd9/N3XffLZ9XflfNxsvLSxa10vpJFy5cAEoX9uzevVsWZBNzsDjW3XffTd++fRk+fDgeHh7F5tNt27YRHh7Op59+qiuMKda+ZrOZ6OhoVq5cibe3NwMHDlTC3FuI7OxsNm/eTHp6ui7W6evry5dffknbtm2LvUfkQYgxMDg4mE6dOsnHKyre9vb2ZuTIkRQUFPDTTz9Jga4WsX+/bt066taty9ChQ/H09KzQOc1mM0eOHCE7O1tX+ACQSeuK249BgwaxcOFC5syZU6yDrhiXV69eTW5uLtOmTaN9+/bVfMUKe2O9Xtq8eTORkZGsXbuW3Nxc2Sm8JNq0aYO3tzcjRoygUaNGBAcHFxPHXI+yCnS1AhrF7Y2wK+ETi71sUTS1InH3miTQLQnrda0oRmgwGJQwtwYj7omvry9wLR4osF7TVadAV9jOgAED+Pnnnzl+/LguVzg/P58ff/yRHj160K9fP1XI/SbE3d1dN95pfWCoePyoOgW61tiySXGdnp6eeHl5Ub9+fQYOHCifV2Nn9ePu7q7LsxD7MoWFhRUucl1dAl0ttuxR2Fvt2rWpU6cOQUFB3HXXXQAkJyeTm5urcpEUigqidlUVCoXiFqN+/fq4u7uTnJyM0WjEYDBw+vRpLBYLzz//PGazWSbn3EiBbmFhIfv27WP16tVSZBsaGsrs2bMJDAxk8ODBNGzYkKZNm2IwGDh79ixRUVH8/vvvxMTEkJubW0yY26BBA9544w38/f3tdp2K6kE4oAkJCcC1zk4ODg64ublRt25d3etsUZnkNYD8/Hxef/111q5dK4+5a9cu7r333go7GOLYLi4utG3bllOnTkn7vXDhArt27ZIiOEXNQ9vNJjU1lW+++Ya9e/dy9uxZnUhMi6h0vXLlSry8vJgxYwbt27enTZs2pY6pSqB7eyBs6vLly4wfP57k5GScnJx03e5zc3PJzc1l3bp1ACxfvhyDwUDLli1p2LAhzZs3p2fPnvj4+Mi52jrJvLKBER8fHyXQVVQbTk5OzJkzB0An0BXJGA4ODmRlZbF48WKys7MZOXKkWgvegthTmAtXxaxNmjSRCetCyHPixAnS09Px8vKq9DXXrVuXrl27sn379mJFh0QA3x7CXIEKht+cCIHkgAEDWLVqFVeuXJG+z/bt21m7di3Tpk0rdd1YVoGuQPz8wgsvMHbsWPm7spvbB7PZjLe3Ny1atJCxIm3n3CtXrtCwYcMK2URpAl3rzcUb0UFXceshxsPVq1dLYa7oRi/m8+bNm9OiRQumT5+Oh4cHgYGBMqYUFhZGVFQUX331FfHx8WRlZenmZpH8ceLECT7++GMyMzMZOHBgparui++Sq6srrq6uzJkzh6ioKI4dO8ZXX31FREQEzZs3V8LcWxDRqVv4Ltr5WGDv2Kb2WPHx8cyfP5/NmzfLNUd8fDy7d+9m0KBBJa4bRXcXBwcHxowZAyDXGoqag7jXrVu3pk6dOmRlZQHX7OzixYuV8g1utg66ippHs2bNaNy4MefPn5cxRIvFQnh4OBkZGeVe/9VUga6t64RriW7WY7Pyu2o23bp1o2/fvuzdu1d339atW8cjjzxC165di71H2NaePXuIiooCkCIMgMcee4zHHnsMb29v3eOiM6+joyP33HMP99xzDz169ODLL7/k2LFjZGVlFRPonjp1ivXr1xMUFCS7NStufpYvX87Ro0elL2IymfD09OS1116jbdu2pa4XtUm12sLllcnp8PX15ZFHHsHBwYEff/yRmJgYmWOiHUsjIyP55ptvKCgoYOjQofj4+JR5rBWfKSwsjC+++IK8vDw5jlssFnr27MnEiRMr/BkUNz+DBw+2KdAV46bJZGLDhg0YDAamTp2qBLq3GEajkaSkJDZs2MCOHTvYt2+frvikGC+Efyx8ZPHz6dOnATh8+DBFRUWMHTuWLl26MGzYsHIJtkoS6Gr9oKVLlwIoga5CIrq+i/Wb2Me8ePEi/fv3L3cxi5tBoGt9vdYoH6jmIe5Jnz59+Pbbb2WMUet7aEWSUL0CXbPZjI+PD6+//jpTpkwhMzNTNxekp6fzr3/9i1WrVt1Q/19hH5o3b07jxo25ePEiRUVF0ic4deoUWVlZeHh4lOt4NVWga+s64ZpPZ31eZcPVh7gXTZs2ZceOHbqxMCsri7CwMOrXr1/uOb0mCXRtXZv2f+1n8/Hx0RXTUrapUJQPtbOqUCgUtxBFRUW4u7sTGBhIVFQUBoOBoqIiLl68SFhYGJ07d2bu3LkYDIZiybtVLdA9e/YsS5cu5dy5c7qgVHp6Ounp6YSFhQHXqmuLLlMCbSV4k8mEj48PX375JU2aNLHL9SmqF2FnaWlpwLWqgiaTiYKCAl3wxxaVFeZeuXKFl156iUOHDunEHps3b2bixIkEBQVV6vO5uLgwYcIE1q9fT2FhoXSsRNX4ilY0VlQdIkCTkpLCTz/9xLZt2wgNDZXJEdquU3DNBsVmdWZmJqmpqfz73/+mSZMmjB07lnHjxsnj27rnSqB7ayMC29bCXFFhTSQ5asW2cNW2TCYT4eHhcq784osvMBgMdOzYEV9fX/r27Uvjxo1p3LgxgYGBNsXjwqbLOt6UJNDVVvJXAl1FVVGSQFcE5x0dHcnIyJDdepRA99aiNGGumBPLI8wVY2vdunWJiIjQbd5lZGQQHh5Onz59Kp3IDkg7FMcSY7+9hbla1Jh7cxIUFMScOXOYPXu2bhPm66+/pmPHjgQHB5f6/rIIdEUyvPj+nDlzhsTEROrWrWtTLKS4dRHjhCh6JTa6DQYDeXl5cmytzPFLE+ja6qCrBLqK8rBnzx6Z/GjdMffee+9l+vTptG7dWpe0IRLVg4ODCQ4OpmfPnmzZsoW1a9cSHh5eTEBjNBo5e/YsX3/9NVlZWYwYMcIuNirG5MDAQAIDA+nRowfnz5+nZ8+eqjPpLYjFYiEzM1OKJoV/bzabcXJyko/ZoqKxTUFaWhpz5szh0KFDOgG7yWTi4MGDDBo0qNSx3jqxTnWcqJlo93JMJpO0JyFOLCgokPsrFUF10FVUBicnJ9zc3KRtWiwW6bdo7bU8VFSgO3fuXOrXr18tcUq1z3Nz4eDgQNOmTdmzZ4/0a0QMcuPGjbRq1apYYrDRaOT06dOsXLlSzvFinn7yySd5+umnda8Xaz0xfmvp2bMnvr6+/PDDD2zatImUlBQ53orvz59//knnzp1p1qyZ2ku8ybFYLOTk5HDs2DHpg4j72bt3b7p06QLYdxwpq834+vry8MMP4+bmxvLly7l8+TIODg7F9nwuXLjA119/zZkzZ5gxYwaBgYHyGNZiDe37RDH5Z555hqSkJF0xWB8fH+6//37dmK+4PSlJoKtNWl+/fj2AEujeQiQkJHDs2DEWLlxIfHw8BQUF0pcWhaRELFPMt3CtW73WJxJi3ZUrV7J69WpWr17Nc889R5MmTfDx8SnTGFOWDrpKoKvQ0qZNG9zc3CgoKNAVEzxz5gxQsXn9ZhPoKm4evLy8ZA6mGGvbt29P7dq12bNnT7ECwNUl0BU+UZs2bZg2bRqff/65nB9EXCo+Pp6XX36ZDz74oMxjvKJm4OzsLPdGtPEjse6r7LhZVoGuwWBg7ty5N1Sgq0WN0zUHcS9atWoFIHMsxJwu8rsrYpvXE+hqY+03WqCrxbr5gPb6FQpF+VDfGoVCobiFEM5vt27dAKSAzGg0kpGRASCTdx966CG5iBPBTLEJtGfPHj744APOnDlTYnfI8pCZmcmiRYs4ceKErtKWcHrE5o7BYCA/P5/8/Hz5u3bjRyS1t2zZkuXLl1daMKmoeWi7P2p/1wbaramsMBfg1KlTMnlNBHMA0tPTiY+Pr/TnMpvNNGnShO7du+vOvXnzZvLy8uzyPVPYDxGYiYmJ4cUXX+R///sfoaGhMjgpbEQ44+L+aR1zcYy8vDzOnDnDm2++yeuvv05YWJiuu6k1QqArhLwmk0kKKrUC3c8++4wLFy7cuD+KotIYDAZSUlJ45JFHSEpKwsnJSRdsFP+Lf2Les062FOObyWQiJCSEv//+mzfffJPHHnuMcePGMX78eF588UXWrFnDli1bSE1NlV2jxDHAdgcfa4RA96mnnsLDw0OXOG7dQfeXX34B0AXrFYrKIAS6U6ZMAfTjoQhQCoHu2rVrSUhIqOYrVtiD6wlztR0lyiLMhWvJj4MGDQKubc6YTCZyc3M5fPiwfF1FEWuBQYMG0aRJEzmWC5utKmGu4ubmjjvuYPjw4QByvk9PT2fnzp26AkUlYS3Qtfbxtf6OKDz073//m8TERDVf32aIMUoUEBA+jYODA/n5+dKvqIxfai3QFb64k5OTHHPFuLdkyRKWLVtGZmZmJT+Z4nYgJSWFDRs2EBcXJx8TCZgjR47kgw8+oFu3bnh4eJRowxaLhYYNGzJu3Dg+/PBD+vfvb9Ond3Z25uzZsyxbtkyKKyuL9foiICCAfv364ezsrDqT3oKIuVXcV+1cHBUVhclkknEj6/dVNrZZp04dWcRSrD+F/YWEhJCRkaHij7cAFosFLy8vmSikrWx/6dIlIiMjK30ObYcqIdD19vbWrS/F+FVUVMTXX3/NqlWriI6OrvS5FTcvYmwTIm2xv2cwGEhLS5OJ6RUZh7Q2OXjwYCZNmkSPHj3kebXCLyHQXbBgAXFxccrvUZSKsKtp06bRqFEj3d6OxWJh+/btMt6ofQ7gjz/+ID8/XyfMfeSRR6Qwtzy2HhQUxGOPPcb48eN1460QCgN8/PHHhIWFqWTzmxyDwcDFixc5cOCAXK8J3+bee++lXr16lTq+rfHOls2UNC6K/aCnn36ali1b6mKxYg/LYDAQExPDzz//zMSJE1m/fj0RERFA8eIuYnyOiIhg5cqVzJgxg9jYWLmGEK/v1KkTgwYNKla4VnF7IgS61jF/rf+8fv16vv32W06ePFmdl6qwA/v372fJkiW8/PLLREVF6cRiZrNZzrtawZV2rNCuE8Xrtd3oDh06xPPPP8+CBQtkrlpZ5mgh0PXx8ZF7k1pBGMDSpUvlfo/i9sbFxQW4VihY2Gdqamqljqu11yFDhjB58mSZb2btBwmB7oIFC0hISFB+kKJEWrRoQatWreS4ZrFYSE9P55133uG+++4rFlOEawLdOXPmyFilrfimvRHr0DvvvJOWLVsCxQt3Hj16lCVLlpCZmVnmMV5RvYh7J4r8aONHKSkpdokfCYHupEmT6Nq1qzyv9bi5ZcsW3nvvPZKSktS4qQCu7rFoETZz+fJloGx5lrawFugajcYS99A//fRTvvvuO7WHrlDcxChxrkKhUNxC2Eq4FI7zzp07AWSVSXsJdK2fs7UINRqN+Pj4yKq+2gCmEFhoxW3axDjtY15eXtx5553897//VcLcWwxxv4WTI0SyRqOR/Px8KZqwti97JK8B9OnThyZNmmAymeR3QVQl2rt3r81zlwej0Yinpye9evUCroqNjUYjaWlp8mdFzUBs2kRFRTF16lR2794tA3ninxgrAd14JcZP8ZzYQBIO9E8//cSiRYvYtGmTDPwoge7thY+PD/3795dV/6zRFijQBo+txbraTUij0ShtLCUlhaNHj7Jx40ZeffVV/vnPf/LII48wevRo3nzzTX766ScOHz5MXl5esQ71cG2cE+cS12wt0NV2mVICXUVVYkuga52MoQS6tw5i/Qbw2muv2UWYC9fGVpHgJkSQ4lzHjh0jNze3UuOWOEeXLl0YN24cTZs2lWO3EuYqSqJ27drceeedsruZ8F9Wr17N5cuXyzSfXk+gq91ozMvLY+fOnUqgexsixqj27dtLn0VbWEgk0lY2CbY0gS7oEymFQFcUklMorBH+yIULF9i8ebP0Q4TdDh48mNdff13XyawkG9b6Ts2aNeOjjz6iTp06Oh/fwcGBgoICAP71r38REBBQlR8PUJ1Jb0UcHByoW7cuDRo0AK758gDh4eGkpaUVu+/2iG2Kc9xxxx26RFDxeHR0NDk5OUrscAsg7EfYmIjfGAwGTCaTHMcqS3kEuiaTSQl0FdI227VrB1yLmYv9lsp0mBDvUwJdhb0R9ujl5SW7LwpbdnBw4MqVK7z22mtyHaqNW4k9S7E2bdWqFQ8//HCxY5eVgIAARo0axZAhQ/D09JQ2K8bagoICVq9erYr93gJcuXJFJ7w2Go34+vrKrrnlub/a/SNAxiEjIiLYu3cvf/31Fxs2bGD//v2EhobKdYJ2T9r6fLVr12bQoEG8/vrrdOrUScZktYgYbXx8PC+99BKzZs3irbfeYvXq1Zw+fZrTp09z6dIl1q9fz+LFi5k1axYffPABiYmJOmGuyWQiMDCQl19+GV9f3/L9IRW3NCUJdLU/K4Huzc/atWt54403+OWXX8jOzpbjA1zbJ9fugWtzMEQcR+ScWfvB2nyOmJgY1q9fz8yZM9m2bVuZ52hbAl3Q26ES6CosFgt+fn4EBgYWKzIRHh5OSkpKpUSM1gLdSZMmyWYtSqCrqAiOjo4EBATIPF1HR0cSExNlvs+AAQNqlEAXoGPHjowfPx5ANx4D5ObmsnXrVtasWUNubq4S6N4EiPvXtm1bQB8/Kioqkvk+lY0flVWgu3XrViXQVUjat2+Pl5eXrtgLXJ3TbfnG5aE0gS6gBLoKxS2EygZUKBSKWwixAOzTpw+enp7k5eVJZzgxMRFA15nhxRdfBODXX38lMzNTOtdiMbhnzx4AXnjhBVq3bl1sgakVB506dYq2bdvK92oDox4eHrzxxhts376ddevWsX37dp0AUjg/2k6SIvlIvK5Lly7cf//9DB06lLp161bxX1JxoxF21KhRIwApPtM6OYCuOq+9hLkmkwlPT0/uvvtumUCs7WQhHP/KdlMzGAzcfffdrFy5UlZJjImJ4fjx4/Tr10/3fVJUD8J2rly5wuTJk4tVcBbJRHC1Aqa3tzdOTk4YDAaysrLkOCtsRyRsaJOI9+zZQ3JyMmlpaYwdO1a+xtq+hEAX4IcffpBOuBgvhUAXYNasWTRv3vxG/ZkUFUTY0YIFC/Dw8GDlypXFKvtaV/3VFs0Q79cGA7UFLbTjhxBzA8TGxmIymaToAq6OtT4+PvTt2xc/Pz+6d++Or6+vTIAQ9ijO6ePjw7Bhw4CrQgrtJqm1QBdg1KhRxdYDCkVFEQJdi8XCd999J8dDMVdrBbpwtYOaKFSjuLkQ48WLL77Ib7/9pqtGXlFhrpa+ffvSvn17ua4U4+mxY8eIjo6mRYsWlbp+i8VCrVq1ePjhhzEajfzwww9cvHhRCXMVNhFz94MPPsiePXtYu3atHNNSU1P597//zaeffkrt2rWveyxrgS4U9/HF+bQC3VdffZW6deuq+fo2wsPDQ7eWNBqNFBUVkZSUBGAXn9RaoDtlyhS5uVhYWKibx5csWQLAlClTpKhcoRAIP/ujjz6S/ococNSqVStmzpyJm5tbmY8nfJvU1FT+7//+j7S0NDk+ajueffnll9x5550qRqMohrChgoICnJ2dbb7GYrFQWFgoRePChhwcHEhKSuL3339nwoQJuqJu9ohtiuPdeeed+Pj4kJycrIspFBUVkZuba/8/iuKGI2xGiHPFvCts89y5c3Ts2NEuY5g2ViUEui+99BKpqaly/LQW6MLVzpGie6ri9sPb21v3u/BVYmJigMqtN7U2OXjwYPn4oUOHdHFTrUAXYO7cudSvX1/5PYoSqVWrFlOnTuXvv//WFUp1cHDg0KFDLF68mNmzZ0t7Tk1N5eLFizg6Osq5uXXr1lLgW1EaNGjAxIkTuXDhAgcOHCi2V3no0CHy8vJkgS/FzUl4eLjMfRD/3N3ddYXXy4J2TMvJySE8PJyff/6ZM2fOcOnSJZvFWdu0aUP9+vUZN24cjRs3plmzZjbP5+LiQnBwMJ9//jnz5s2TBeDF90J0pxRrgOjoaFauXAlczUMpKCjA3d2dnJwc3XG1e5wmk4k6derw+eef07hx47L/ARVlRuu/CBHjzYQQ6M6ZM0c2HzCZTLq40vr16wGYOnVqpcdgxY3l+++/Z+HChdJPFX4rIOc/bT4QgLu7O7Vr1yY/P5/c3FwsFot8v5iPrQW+cG3PPTU1lVmzZvHss8/ywAMPyLyk0tanQqA7e/ZsUlJS5PG1drh06VIAnn322ar4UylqOAaDgVq1auHn50dERITO7nJycnTdnCtzDmGnQ4YMkY8fPXq0mB8kBLpw1Q/y9/dXfpBCIuylVatWbNu2TY63JpOJw4cP8/DDDzN//nyMRiN//fWXtB2xpyQEugALFy6U/lFVrjGE7Y8ePZqLFy/y1Vdf6Xw2s9lMXFwca9asoU6dOgwdOlR2s1bUTMQ9vVHxo6FDh8rHjx07ZnPcFLmX8+bNw8/PT42btzHu7u4YDAYKCwt19pefn1+sCEdF0Ap0v/nmG6ZOnarbQ9f62Z9++ikAkydPVnvoCsVNhsoIVCgUilsQd3d36USLRInQ0FBSU1NldZfKCnS1TtCKFSt4++23mTNnDtOnT9cJcoTD4+bmxtChQxk6dCgrV65k79697NmzR1b5ta6oJZz74OBgOnbsyPTp06ldu7ZKZr+FEYIGFxcX8vPzdQLv7du38+eff3LffffpRGqVTV4DpE21bNkSuCasFHZsj44D4rzNmjXD399fdqqCa8J5lfRZvYiExfj4eJ577jmbwlx3d3fatGnD/fffT3BwMK1ataKwsFBWcQsJCSEkJIQ1a9aQmppKXl6ePIa2euDp06dZvnw5BQUFTJ48WQYOrW1ACXRvLbTB6ddeew2gmEBX/K/tyOzm5kZ2djZwbXwSwRht0Flb4EK8Titq057/ypUrXLlyhdDQUOBqdwAnJydat25N27ZtCQwMpE+fPri5ucmCGHXr1mXMmDEUFRXx+eefk5WVJYOWSqCrqGqcnJx44YUXAHQC3aKiIiXQvcU4e/asFM+CvkJ6ZYS5cHVMrFu3rhyzRKGg3Nxcdu/eTYsWLSq1iSjGb09PT0aNGkV2djapqam8/PLLgBLmKvRofZqZM2dy5swZTp06Jeft8+fPs3XrVkaMGCFfXxpKoKsoC40bN8bHx4eMjAxZZAWuJvII0aM9xqnrCXS1m4tKoKuwhRivUlJSiIuL041xYj1QnqIawh/Pyspi1qxZuhiSVpj7xRdfSGGueJ8aGxVwLXktKiqK//3vf/zf//0f3t7eNudnZ2dnBgwYwMGDB+UaVvjoO3fu5NFHH5WiBWdnZ7vENgEKCwtxcXHRiXPh6vcpPT2d5ORkmjZtquKPNzliTBLiA+GDiHn8woUL8nF7oAS6ivLSsWNHXFxcZPdGEas8efKkrvNyRamIQNdisTBv3jwl0FWUiMVioWvXrsycOZPPPvtM7r8I+/3rr79o2rQpo0aNwsHBgZiYGJKTk4GrvriLiwtjxowpsRBreQgKCmLWrFkcOHCgWMfeCxcusGrVKmbOnKkKydzECNGsdq3m4uJSrvupjV9u2rSJrVu3smHDBvm88OsdHR1l/MlsNnP27FlOnz7NoUOH8PPz44knnmDgwIHSF7cuvu7j48MXX3zBwoUL2bFjB2fPnpXzvojLawvNajuoCUGoNiYl4hBFRUU0btyYzz77jKCgoEr+RRW2EOPGxYsXeeutt3j88cfp0aNHjRXoljSmlSTQ1a4/lUD35uN///sf77//PnCtML+2sJTwbVq3bk1gYCDDhg0jICCAevXqUa9ePbKzs8nMzCQ/P58jR45w+vRpduzYQXx8PHl5ebr9drEu1NrMokWLiI+P59FHH5X5b0qgq6goYp4TIjPt3mN2djaRkZFyX7Iyazcl0FXYA7EOEN2Xha2aTCbi4uIAqFOnDm+//TZAjRDoags1jB8/nnPnzrF9+3bps4lrO3v2rMwfGDRokOxEqah5iLGwU6dOODs7y3WANn5kj+7HSqCrKC8mkwkPDw8aNGhAWlqazoauXLnCpUuX7JKXK8atXr168e233+oEutbFiJRAV6G4OVFZgQqFQnGLYTab8fX1pVOnTuzatUs6NUlJSaSkpMigUGUFuuK433//vXTMlyxZgqOjI1OnTtUl/1oLesePH8/w4cOJjY3lzJkzhISEkJGRQUpKCp6ennh4eNCxY0eaNWtG+/bt8fT0vKF/Q0X1YDAYaNWqFXfeeSd///23LumsoKCA7du3ExwcjLe3Nw4ODmRmZjJjxoxKJ68JuxQJQ9oOqdoAQGUxm824uroybNgwTp8+retooKh+DAYD6enpLFiwgBMnTsgNIGEP3t7ezJkzhx49euiqOIuufq6urvTr149+/foxaNAgQkJC+Pjjj0lNTZUOuzZweenSJdasWYOHh4fssKcEurcm2vt6PYGueD1ctUlfX19mzJiBm5sb6enpHDlyhIiICAoKCkhKStIVttB2S9E+Lo4nNjO1lYfh6tiUnZ2NyWQiKSlJzvkeHh44OTnRp08f/P396dWrFy1atODOO+/E1dWVRYsWSdGwtiOPEugqKoL1+GdrPCxJoKs66N5aNG3alLlz5/Lll19y8OBBDAYDTk5OFBQUVEqYK7rijRgxgr1798rO9mJMPHDgAFOnTrVbBWtPT0+mTZsmu5koYa7CFsLeAgIC6N27t/QRxJz8+++/8+CDD5Y5wVcJdBXXw9/fHzc3N1JSUoBr68Ts7GwZA7IXqoOuojKIdeDmzZuJiYmRv5tMJtzc3JgwYQKurq5lSmyraGdS8TxcXSeI+KQaK28/tMLc0aNHk5GRwaOPPoqPj08xGxQ/BwYGSlGaVuCwa9culixZwnPPPYezszNpaWk88cQTlY5twtV1gNFoxM/Pj7Nnz8rEJgcHB1xdXUsUEytuTkTncNFRSsQxk5KSgMp1l7BGCXQV5cHLywuj0Sg7SghycnLsNn+WV6C7Y8cODAaD6qCrKBFhq3379mXXrl2EhYXJxy0WC5cuXeLXX3+lQYMG9OnTR9edz2Qy4eLigq+vL4BdbKt379489dRTLFmyRIofxTmvXLmiu2bFzYMYt8Q+jZi7RR6F9dqxJLTih8WLF7Ny5UoyMjIAdKJZuLYnBNeEDQ4ODuTk5BAZGclLL73EwYMHGTp0KHfddVex4uvCbxd7o1u2bGHVqlW64l5CcKstFqI9t1Z4Z7FY8PPzo1OnTsybN091zK0ixD28fPkykyZNIikpiezsbF588UW6du1aIwS6wrays7NxcnKSwoyyCnSthZFKoHvzsGLFCinM1Xa5FTFxV1dXmjdvzkMPPcTQoUPx8/OT7xU5O25ubri5uWE0GmnSpAlwVbAQHR3NJ598QkxMDLGxsfK4Yl2otZmVK1eSlZXFo48+Svfu3ZVAV1FhxLzdoUMHNm3aJOdbk8mExWLhzJkzBAcH22XtpgS6CntgsVhk3rB2Xbl7926eeOIJDAYDXl5eNUqgK+w2ICCAESNGEB0dzdmzZ6W9izE5PDycP/74g06dOsnu6Iqai5eXF0CxDqU5OTlVEtNUAl3F9RC5PK1atSI8PFzXVCU7O5usrCy7nUsr0F22bFkxga7qoKtQ3NyozECFQqG4xRBOQdOmTdm1axdms1km95w7d46goCDpPGiTd+fOnYvBYOCXX34pVaA7Z84c2rRpg8FgkB1zAZk0/+GHH5KVlcVTTz1VzFnSOj0eHh60bNmSli1bMmzYMKD0pBFVBfjWRzg0QUFB/P3339I+RQBz/fr1dOrUiXHjxpGRkcHMmTPtkrwmqFOnDs7OztLx1orNxPVVxgbFcVq2bKkTzkVERNjl+IqKI/72u3fv5vDhw9JuxEaQr68vn376qawgqH2PVmgjxs3WrVvTunVrevXqxauvvsqJEydkl3CRMCfG5J9++glPT0+GDh1a4v0vj0D3ySefpFmzZlX1p1KUAWEHOTk5uLu7F7uvZe2gC1cLa6xbt44nnniCRx55hBkzZpCenk5SUhIhISEkJyezZ88eUlJSuHjxoi4BQgRqRCKFsBdtsrk2IcS6wnleXh7Z2dn8/vvvACxbtgw3NzcCAwPx9vbG3d1dinMFSqCrqAha20hISMDf37/EjXAl0L21EQLaPn36yN8PHTpUaWEuXBtbAwICZJKasDuDwUBISAghISF06dLFLhWsASnMFZWHFYqScHNzY/Lkyfzxxx/ExsZK8eKOHTv44osvmDVrVpnnUCXQVZSE6BBau3ZtoqOjdcVjkpOTiYqKkglt9qI0ga715qIQ6E6ePJnatWvb9ToUNy+xsbE6HxrAz88PPz+/MiX82EOY+80337B8+XLuuOMO3n77bTVG3mZohbkiHglXC1QuWLAADw8Pm++7++67GTBgAFu2bNHFmIqKili+fDmBgYE89NBDPPnkk3aLbQrb1IoixGdwc3NTxS9vMRo2bIifnx+pqakyvgNw4sQJcnNzcXZ2tmtSpBLoKsqCyWTC3d2dunXrcvnyZV3R3sjISGJjY6lfv77dE9PL2kEXUAJdRakEBwdz//33ExYWJuPcYv4+fPgw33//Pb6+vjLOI+LuderUoU6dOna1qw4dOuDq6kp+fj5wbR2wbds2EhIS8PX1rRECO0XZEffQxcUFQDd/JyQkkJ6eft1EW60P9NZbb7Fy5Ur5nBD7as+lFXYDuoLUYs7+9ddfOXfuHFFRUUyYMEG3lyPWqEajkf79+9O/f3969+7NqlWrOHXqFOnp6bo9JfGzdm9d7D1ZLBZ69OjBgw8+yIABA6SgXWFfhI1cvnyZcePGkZycjIuLC6Ghobzzzju8/PLL1S7QFWvGqKgoXnvtNQYOHMiYMWOuK9D98MMPef7550vtoGuxWJg2bZoS6NZQ1q5dy3vvvQfYFuZ6eXkxbdo07r77btq0aSPfJ+xajCvauVaMUQ0bNqRRo0YsWbKE0NBQfvjhB9lZUZzDbDbrbOa3336TnXa7det23TWqEugqSsPLy0s3z1ZVAS0l0FVUFoPBQNu2bWndujURERHSZrOzs3X72fYS6Nqy/Yp+HwwGA4MGDeLChQvEx8eTkZEh86AsFgtNmjShQ4cO+Pj4lPvYihuL6FBat25d3X6lxWKR97du3bp2Ga+UQFdRVoSdiAIGwnbEOi8mJoZOnTrZ7XxiTO3Zs2exDrrWRa6VQFehuLlQs4ZCoVDcYohNFtE9UQR9TCYTx48fl48JtA7yCy+8wEMPPSQXcWJjSGww7tmzh4ULF3LlyhWWL18uHXFHR0e5QC0sLOTixYslXp+1+Ei7KWSr05/1+xS3LkIYNmHCBBo0aKDbsBPOxvz589m4cSOzZs2yW/KaeF50oxSBG7Hx3r179zIdp6x07tyZdu3aUVRURJ06dZgzZ45dj68oH2LsKioq4tdffyUhIQGDwaDbCFq0aJFOmAu275d2bC0qKqJp06Z8/PHHDB06VDrv2oA8wMmTJ/n5559lNfaSEALdcePGAVeDVQ4ODtJWs7Oz2blzJ4sWLeL8+fMV/4MoKoUIzEVGRjJr1iwSExN1c5tA2932tddeY/z48TbnPaPRSHh4OIsWLeLPP/8kKysLLy8vgoKCGD16NDNnzmTp0qWsXbuWlStX8sEHH/DYY4/RpUsXAgMDAX1ShkiMcHR0lMe3vn6RUCmEayKpwtHRkdzcXCIiIjhw4ACJiYlyfWCd4KEV6P7yyy/yOuzViVxx66ANZn///feyWj8UTx4SCIHu5MmTgWtV1rXJwEKgu3btWhISEm7cB1JUCjG3Ojo60qdPHx5//HFatGhBq1atKiXM1dKlSxcGDBggfxeb5ampqYSHh+uuw16oNd6tT2XnN7PZTEBAAHPnzsXNzY3CwkJp55s2bSIkJKRcx7MW6Fr7+FqfXCvQFXO7mq9vTYxGIy4uLrLYmphnTSYTWVlZXL58ucrOqxXoCt9dzN3acX3JkiV89913ZGZmVsm1KG4ezGYzhYWFHD16VFedGqBx48ZlEiNUVJgr4gEAb775Jp988gmxsbEcOHBAFldT3D4IYe6YMWNISkrCyckJgPPnzxMXFwfYXgdYLBa6du0qjyFeJ+bepUuXcv/993P06FG7FR00mUykp6fLuJbWlhs0aIC7u7tN/0pxc+Lr64uXl5eMYwv7ysrKkrEce6P10YVA19vbW7e+tBborlq1iujoaLtfi6Jm4ujoiKenJy1atAD0IrC0tDS7dj8BvU0OHjyYSZMm0aNHD4BiBbmEQHfBggXExcUpv0dRDGEP//jHP3jooYd09ivG1L///pv//e9/xMXFYTKZKCgokD6NKHZtL+6++246duwo18Jasbn2mhQ3H9aJtGIvMj09HSieHyHQFhCaP3++FOY6OjrKhHKxZyj2ecT/4p/YExJxdHG8EydO8NVXX/HFF18A+r0ca7u+//77ef/99/n222954IEH6Ny5M4DMRSkqKpIdA41GI05OTowcOZJ58+bx7bff8vDDDythbhXi4ODAxYsXGT9+PMnJyTKx28HBgfDwcN555x0pRKgOhN1duXKFcePGsW/fPn755Rd+++03CgoKStwTAhg0aBAffvihbo9AuycEsGHDBr755htOnjx5Iz+Wogzs27ePr7/+Wo4N1sJcPz8/Fi9ezD/+8Q8pzNUWuioJ7XpPdIPs378/n3/+OU899ZQsRKgd80SOBcDmzZtZvXo1Z8+eLdPnEAJdHx8feRxtV16ApUuXsmjRovL+iRQ3KcJOmzZtiqurq65YBVwVzULl95C0aI8/ZMgQJk+eLHOZrP0gIdBdsGABCQkJyg9SAFfttlatWrr1YVRUlNwnF/YlBLqDBg2Sa0vt2lAIdOfMmSPXotZ5vyIGsGXLFrZs2SLfV5EYpWhONGPGDPr37687VpMmTRg3bhzjxo3D3d29Yn8YxQ3D0dGR2rVrExQUBBSPH+Xl5dnVv7YW6E6aNEnG7m2Nm1u3buW9994jKSlJjZu3IV26dAHQNUKxWCycOnXK7ueyFugajUYp0AV0vs6nn36q9tAVipsE1bpDoVAobjGEY9ulSxfc3NxktT9AVmWzpizddbQddB9//HEuXLgAXBPmCkfp/vvv58MPPwTKVu1K+7w20V4lsd9alLXymdlsxtvbm/vvv59ly5bJwI22GtALL7yg6whd2eQ1cW2JiYm694hOE/Xr1y//By6FWrVq4eHhgdFoZMWKFTJZRVE9iPu9fPlydu/eLRMYTSYTLi4uzJo1SwZlyoPYDPf19eXFF1/E19eXjRs3EhsbW6xryt69ewkICKBVq1a4uLiUWHmttA66zs7OpKens23bNmbMmFGJv4iiooj7dvnyZcaOHUtqaiq1a9cucdPweh10tcHwixcvykpod911F25ubtKOnJ2dMRqNdOzYkU6dOvHggw8CkJOTQ0hICKmpqezZs4e4uDguXbpETExMsU46Yp4X3crFsbVBUPEe7fVpx1rtOK8V6M6fPx+41kFXoRBYC3NFt+VatWphNBoJDg5WHXRvYxwdHenVqxfz58+nffv28v7aowOt2OgRiPH4hx9+YMCAAdSrV6/S51DceqSlpVFUVER0dDQeHh44OjpSt25d3N3d5VhW0eq54j0dOnSgV69esqsTwIULFzhw4EC5uzqrDroKa8T9rlOnji7xQcR0kpOTq+zcpXXQLSwsVB10FcUQvonoFKa1Wa3QsaRxqjLCXLgqvFy0aBF///23HC+joqI4cuQIrVq1qrLPrah5FBQUMH/+fNLS0nRx9osXL/LDDz/wyiuv2LRDg8HA5MmT2bhxI6dOndJV4DebzURHR0u/2R6xTbg6np87d47IyEj5mPDng4ODVUX1WwjRna5OnToAcpxycHAgKSmJS5cu0bp16yo5t+qgqygNYRteXl6AvsNEYWEhCQkJxfzxyqI66CrshVh/ikLWCQkJ7NmzR9qPGNfWrl1LYmIibm5u5Ofny/h5QUGB3a5FzN8ilinWAg4ODuTk5JCcnKzinDcxXbt2xdnZGbPZLMWz2dnZ/PHHH7Rv377EtZ8Yq7788kuWL18OXMur0HbMbdy4MUFBQbJ4a1xcHNnZ2Rw9epT8/Hw5TwsRrViPxsbGsmLFCpycnJg2bZoubiQQv/v7++Pv78+CBQtwdHTkyJEjpKenc+HCBfLy8nB3d8fFxYVOnTpRp04deS3iGIqqo6CgQAoJhIhV3GetQLc6OuiKMTYqKorx48eTlJSEo6MjJ0+eZMWKFRgMBh588EGcnZ1LPIYQ6Fp30NXuD23YsAFA10HXXh0rFRUjPj6e3377TTZ40OZJmEwm6taty7fffltsnVjeeyZeL2z+qaeeIigoiHXr1rF9+3ZdXoWwR1G83cPDg8cee4yAgIDrnkd10FVoEXbXqFEjnJ2dycvLA67ZeVZWFmD/wiqqg66iolgsFpydnenevTuHDx/GaDRiMpnIy8uTBc+1429FO+gKURtczeV455136NGjB05OTtx1110l5oCUhjivs7Mzb7/9NikpKezZs4dmzZrx6KOPMnr0aBX/vEkQ917sAWrjRwUFBSQkJMgCG/ZCddBVXA8xHonmO6KplIgXZWRkVMl5VQddheLWQ4lzFQqF4hbFxcUFJycncnNzpYNx5MgREhMTqVu3brHXl0ege+nSJaC4MHfo0KF89NFHAHZLnlfcfNgKoFiLzUoKsgg7GzhwID///DNpaWk6sY22WpWw18omrxkMBmJiYvjxxx+LPd65c2eCg4PL9wcoBeHQjxs3jrfeeotmzZrZ7diKiiFsUVQB1AZT/Pz86Nmzp6xIVV7EmOnt7c3jjz+OxWLhl19+ITU1VSZkirF3zZo1NG3alBkzZpQa0LEl0HV1dZWB/oULF9KxY8cKXa+i4mg75o4fP14Kc2NiYkr9npdHoHvu3LliAl0o3pFeHM/d3Z077rgDuFrN3GAwEBsbS0xMDFFRUezZs4ekpCS5SaMV34rAp3bc1Qp2ta+z1TlXe4zs7GxefvllGjdubNfxVHFzU5IwF+DPP//UJZGXNJ8rge6tjcViwcnJSdd9obK+hRifHn30UdatW0dMTIycjwGSk5NJS0ujXr16KmFHIfn55585f/48f/zxB4WFhWRkZEiBV/PmzWnWrBn9+/enV69eOmF3RWyoUaNG3H///TJZSGy6fPrpp/Tp04dOnTqV63hKoKvQIu61EOuIOVMkBB87doyRI0dW2X0vTaBrnUgpBLpTpkxRm4u3MUajEUdHR+mXCB8jNTUV0Fc011JZYa7FYuGbb76RwlytGOPvv/9m1KhRODk5qfHxNsHZ2Zn+/fuzfft2cnNzpU2YzWZ27dpFWFgYHTp0KPY+UUTtmWee4ZVXXpFV9rXrA2HTWrtcunRphWKbABkZGfz8888A8nvj6OiIk5OT7KCi1ri3BgaDARcXF9q1a8eRI0cAZOdGgMjIyCoT54rzK4GuojQ6duzIr7/+Ktd/osPEyZMn6dOnj93PpwS6CnshRBPe3t5MmzaN1NRUuW+k3cvZs2ePfL3FYiEpKYlDhw4xbNgwu1yHsMe2bduyceNGufYQ36Xs7Gy7nEdRPYiCWSLRV6AtsFISossoXLNXMf/fe++93HXXXQwbNkxXSE5w4MABzp49y4cffig7MIvxU4zXCQkJrF69Gh8fH0aMGFHiXj8g938AunfvLq/heqi1aNXi6OjIzJkzyc7OloIbcX+rU6BrLcxNTEzEyclJCstPnz7NN998Q15eHuPGjSt1Xi5JoKtdf27YsAGDwcDUqVNLFb0rqhZhd6Ghofz555+ya67wg0XHXCHMtdeaTGvzQ4cOpUmTJjRs2JDvv/++mEBX2MyKFSsICAjgscceK5PfrAS6Ci1msxlXV1dcXV3JyMjQFVZJSkoiPj6+SooCK4GuoiII+2zcuDGgb5QSEREhu+RWVKD7wQcf6HKgVqxYwTvvvAPA4cOHcXFxwWKx0L9//wrNz0Ik5+Liwn/+8x/mzZtH69atlTD3JqVTp05s2LDBZvyoR48edj+fEugqrofFYsHHxwcPDw9yc3N1uZAnT54kNzcXZ2dnu/tQpQl0rffQlUBXoaj5qJlCoVAoblGaN28ug81ioVhQUCCdY1tYJ+8+9NBDchGnreAqjiecItExd9GiRYAS5t6uiA0UYR8HDx5ky5Yt/Pjjj/z888+cO3euWHfakirkdunShTlz5gDX7EnYmrBBg8Fgl+Q1s9nM/v37yczM1G0IWCwWWrVqJbsQ2APhnA0ZMkQJcyvImTNnSElJsdvxDAYDZ8+eZePGjYC+U+iDDz5Iu3btKnV8YVO1atVi+vTp3Hvvvbqup1qx0ZdffsnevXuve0wh0B03bhyOjo5SmPvpp59y3333yc+huDFohbkTJ04kOTkZJycnMjIyOHXq1HXfL+ZegNdee43x48cXE7sCOoHuzp07ZQKFreNZI45Rv359unfvzsiRI/nggw/45ptvWLduHStWrODZZ59lxIgRdOrUCXd3d5ycnOT3QYy9Dg4OGAwGm+ew7rirDcgPGzZMCXOrGVs2VV2UJMx1dHSU8++2bdv473//S0hISKnHEgLdyZMnA/o1g7VAd926dcTHx1fpZ1PYD+u1nD0C3OKYHh4eciNcHNfBwYGUlBS++OKLYslxituPtLQ01q5dy2OPPcYrr7zCsmXLiI2NJTk5GbPZTG5uLnl5eURERLBx40beeOMNJk6cyNq1a4mKigL082JZEK8dPnw4Y8eOBdBtuixdurRCnU2v5+NrBUJagW5iYqJuLlfc/Ii5V/ihJpNJF9/JzMzUva6qrkEr0BWCNEdHR10BLoAlS5awbNmyKqtErLg5EJvOcG2cFP6vrSJalRXmwlUfvX79+tLvEQmbABEREeTl5akEjNsEYR8PPfQQ/fr1k48J/zgyMpLQ0FDdawVijdmhQwcGDhyIi4tLsTlVvEfY+P/+9z/69++v63xWnuuMiIjg8OHDwDXxuslkok2bNlIooda4NQtxryuK6E4qbEDMocLvrUrfX7vWFQJdb29v3frSWqC7atUqoqOjq+yaFNWPuPd+fn7ANRsX82ZaWlqVnlvY5ODBg5k0aZJM5LQu+ioEugsWLCAuLk75PYpiGAwGgoODefjhhwkMDNQVqTYYDLpxTvx84cIFu51fu6cvftfG5N3d3e12LsWNp23bttxzzz2yKKtg8+bN7Nixw+Z7xBi1b98+KeI1GAxyHTl9+nTeeecdHn30UTw9PaUNiQR3gF69ejFx4kR+/PFH7rvvPry9vXXCC3EtFy5cYOPGjZw+fbrUz2FrXSnWyVD9exC3K0ajka5du/Liiy/SpUsXaTtir1rs8wmBrhAiVCUlCXNFXEp0yj137pxNYbkthEBXdAe23hMCWL9+PUuXLuXs2bNV+vkUJWM0GklMTOTdd98lJydH3ifhq3p5efHee+/ZVZirPbcYh9q1a8fUqVOZMWMGcNUHF3Oq1mY++OADduzYUWa/WQh0fXx85DHF2CyOuXTpUplDp7h1MRqN1K5dm7Zt28q1oijEkZCQQExMTJWdW+sHDRkyhMmTJ8sCbdZ+kBDoLliwgISEBOUH3aYIe2nQoAFOTk66XKWQkBBdXEeLEOgK8a71uC0EunPmzJFz/3fffSdFvUKUu3v3bhYvXlymPKqSEAUeXF1d+fDDD5VA7SakJsSPhEB30qRJdO3aVV6H9bi5detW3nvvPVl8U42btzYGg4HAwEACAgKkfyvueVJSUon5kvbAWqBrNBrlHjro162ffvop3333ndzbVygUNQuVRaBQKBS3MLVr15aOtYODA4mJiRw7dqzU92iTd+fMmcNDDz1E7dq1bb5WLED79u0rO+ZqF4WKWx/t5pqDgwOxsbF89NFHTJo0ialTp/LUU0/xxhtv8MorrzB+/Hgee+wxli9fLhNxtN3KrI85fPhwJk6cCOiD5ALxvjfffJP+/fvLTZzyJq/FxsayfPly0tPT5TWZTCYaNWrEk08+We7E+rKgEjkrxldffcXYsWPZtGmTXYIxWhsQHfq0NhQUFARQ6eCKsHNvb2+ee+45WUVabNKIJI6cnBy2bNlCYWHhdc/ZokULJk6cyPDhwwFYvHgxgwYNkp9LJVzeOIxGI0lJSYwcOZLExESZ/A3Irk7Xw94CXVvXCNeCnFr7atKkCV26dOHxxx9nwYIFfPvtt/z88898+eWXPPnkkzzyyCM0adKE2rVry3HWWqwrqm+LcwiBpdlsZvjw4SxcuLDYeRVVi/Xf2rqqvdlslsk7tt5XVckzpQlzRXVzFxcXCgsLCQ8PJyAg4LrHLEmgC+gEuv/9739Zt26dnO8Vty+1atVi0qRJwDUxhNhsvHDhgtwoV2PW7UlsbCyvvPIKH330EXv27NElKYokL7HWEnaTn59PVFQUr776Ku+++66spFue9ZjWL3rggQdo0aIFcM1GT548SVhYGFB+IYcS6N6c2JqLK3svzGYzXl5eUtSoTSyPiooiOzu7yhNoSxPoWidSLlmyhO+++04JdG9BbNmydmwTa0YRj9R2nIiKimLXrl2A/ntiD2EuXF2XDhgwQK5JxfPOzs6kp6fLonOKWx9x711cXOjcuTNwTXQrxqnPPvuMyMjIEud8Pz8/HnnkERlfsk5aE//ffffdcu4vb3KHwWAgNTWVhQsXEhUVJbv7FhUV4efnx8yZM2VXCUX1cOXKFRYuXMjWrVs5duyYFFuVdq9Lm/O1SeaiyJX2PWL/p6rXcOUV6H711VdKoHub4OPjI4uvaMfHEydOyI5iVUFFBLrvvfeeEugqimGxWHB1dWX48OE88MAD+Pr6FvOTtPM4XI1zVibB3BbadaeI53p7e5cpXqqo2bRo0UIKJUUHWoPBwB9//GEzdm00Gjl79izLly/HbDZLYSPAk08+yZw5c6hTp47ObxLv0643zGYzrVu3Zt68eTzyyCMy4RiQ+z0AO3fu5I8//ij35xLrUFBFYaoTo9FIhw4dePnll3UCXRF7vJEC3ZKEucI/d3BwkGtjkZdUVkoS6JrNZumvhYWFERsbq+b4akCMb+vXrychIUH6BIDcB9SKCKsid0Y7DgUGBsrcJSi+jyhipW+88Qbh4eFlPkdJAl1tfFMJdG99xDrRx8dHVwzTwcEBJyenKhWZgRLoKsqHGBvbt2+Pv7+/rkhgWlpaqf56WQS6v//+Oy+99BLfffed7Jgr5gAxLjZq1Ii2bdtW6nOIed/BwQEPD49KHUtRffj6+tqMH4WGhpaYz2QPlEBXURpC/A/XxkxHR0fS09NJSkqq0nOXJNAV+cxKoKtQ3BwoZYhCoVDcgggnoEuXLsDVoI94THTyKQ2RtObs7MzLL79MmzZtSn296BhYUFBgs3OF4tZEm2gTERHBt99+y+jRo/nqq684dOgQcE2kJYQxZ8+eZf78+bzyyiv85z//AYoH27WJjyNGjODuu+8Grm3gaBMoHRwc2LBhA+Hh4dJhLysGg4H09HTmzZvHqVOndIlMnp6ejB49WgZQ1SZi9fPdd9+xcOFCcnNz+d///mc3gS7A0aNHZQVpETD39PSkdevWgH02hIQD7evryxtvvKHbpIFrovANGzbIhKDrERQUxLRp01i7dq2uY66y1xtPbGwseXl5uLm56Taxjx49CpRNRGMt0J0wYUKpAt1PPvmEHTt2lFmgq8VWQrA4t4uLC82bNyc4OJinn36at956i59++omNGzeyZMkS/vnPf3Lffffh7+8vky61FdjFmkMIc99//32AYsF5RdVgLTLYt28ff/75J4sWLeKZZ57hn//8J0888QTTp0/nmWeeYdGiRSxdupT9+/eTnJxcTMhtT4FOacJcUaTAycmJ/Px8fHx8+P7776lXr16Zgtu2BLpifBWfITc3l5MnT6rg5A1G3L/c3FyZaFMTaNWqFY0bNwaujYkWi4VTp07J5DM1Zt1+REVF8eSTT/L333+TkJCgq3Iu1ljaDUJtJxJHR0cKCwvZs2cP27ZtK3OBDi3C5rp06SKTJxwcHDAajcTFxfH111/Lx8o7PldEoPv2228rgW41Ie5JZmamLiFbO16J15Xn3hiNRpo2bUrLli115wKIjo4mMzPzhvgSJQl0xeaiNlFDCHTV/H3zo7VVMa6tXbuWH3/8EdCL1ERSd8+ePeVjYuM5Ly+PEydOAPriQ/YQ5orzNGrUiObNm+vG+8LCQgoKCoiLi7Pnn0VRwxHz/7Rp02jRooUumdjBwYGcnBxCQkLkY7Zo164dL7zwAp6envJ92uNbLBZ27tzJu+++y759+wBkMm9ZSEhI4OmnnyYkJEQX23R0dKR///507NgRKL/oV2EfLl++zKhRo/jqq6948sknGTduHA8++CCPPvoob731Fj/++CNbt24lKSmJlJQU+T7rOV9bpV+MTU2aNAGuFXMRrxVFLW7EPS+PQLeoqIj//e9/rFq1qkx7VIobi9bGKkvLli1tdpgQc2hVFvctr0B3x44dSqCrKIawI09PT6ZMmcKAAQOoVauWzVi9WG9mZ2fz22+/2aWwkBg/xf6X2As1m824ubnZ9fuquLEIu5k4cSKtWrWS91HsTe7YsUN2xhVrQfH/1q1byc3N1Qkbx4wZw9NPP607dmmIwnMBAQFMmTKFSZMmUb9+fXkdWlHj559/zt69e+310RU3mJIEujeyg25pHXPFuCbWsXPmzGH69OlA+QrMWAt0nZ2dZVypadOmTJw4kS5duqg4fzUg5tKdO3fKwrzaTmN169blzjvvvKHd4H19fXnkkUekrZlMJvmdED8nJiayatUqsrKyynxcWwJdoJhA9+OPP7b7Z1KUn+sVwqrIGku8p3379gAyb81isVBQUEBoaKg8flVhS6ArGgaUJtCNj49XftBtiPBhxBgs7OfkyZPX7Th/PYGu0Wjkt99+0wlzxdrDZDLxwAMP8Mknn8jrqAwqL+7GoS08YO/4kb+/f7H4kRibbkT8SAl0FdZ4eHjQoUMHAN1aMTs7mzNnzlT5+ZVAV6G4+VGtDRUKhaIKEU5obm4uDg4OODs735DzCgdBJFyKxEaTycTp06cBiiUDaREdJAFWr17NwYMH5XNa51b8vGvXLt58801efPFFWrdurRzg2wBtgOWvv/5i5cqVHDt2jLy8PJlsI14H1zryiI2Wffv2YTAYiI2NLbXKc8eOHRk9ejSpqakcP35cOsDaDctDhw4xa9Ys3n//fXr16iXfq7Vxcb3CsS4oKODy5cu8+uqrHDt2rFiCe6tWrRg8ePAN+84qSufbb7/lvffeA66KtmNiYli6dCkA999/P3Xq1KnQccVYZV2J2lYQ0R6ITiWNGjXi9ddf5+WXXyY7O1sGfUSlrR9++IEXXngBi8Vy3WvQJtYrYW710ahRI2rXri1tSYxRQkxR1oRIIZxxcHDg1VdfBa6KGLVJ4aJT7fnz5/n0008B6N+/P25ubpX6DFqhuDW1atXCwcGBgQMHMnDgQOBqV+CsrCwOHDhAcnIyBw8eJCYmhvj4eHJycnjggQeUMLcayM7OJioqip9//plz587JNVxJG35btmwBwN3dHQ8PD/r06UPPnj0ZOnQo7u7uspp6Ze/f9YS54ufCwkLq1KnDihUraN68eanrVWuEQBeuFnQQyRhCEHr33XczatQoGjVqVKnPoig74r5fvHiR+fPn8/DDD3PvvffWiPVVixYtuPPOO/n+++9lYojwl9atW8eAAQNkhzPF7UFUVBSTJk0iLi5OJr2KcUv8LDYH4drGiBjHxHjVqlUrRo8ejbe3d4WuQ3RAef755zlw4ACRkZEymePgwYN89tlnzJo1q0JrPmuBLsCvv/5KZmZmMX8pLy+PHTt2kJ+fzzvvvIOPj0+FPo+i/Ih7cenSJZ566ilyc3Pp0qULvr6+tGnThtatW+Pl5UWjRo1087O2o7NW0GNtKxaLBS8vL+lriIRMk8lUrsSzymIt0J0yZYrcXCwsLNTFsZYsWQLAlClTpKhccXOhtct9+/axf/9+Vq9eTUpKihSN9+7du9j76tevL38WflBRURFffvkl3bp1o3fv3nYV5orHa9WqRaNGjQgPD9d1UK/Kbn+KmokYVz09PXnooYdYvHgxRUVFsjhCdnY2P/zwA8OGDSvVb+nTpw8LFizgn//8pxzftMnJJpOJP/74g+joaCIiIpgyZUqxmKb1XJ2amsrp06f56KOPOHHihIxtCptt2LAhjz76KH5+fjfkb6UoTmRkJBMmTCAjIwNXV1cKCwspKiriypUrREZGcvz4cfna+vXr4+joSOfOnalXrx7NmzenQ4cO1KpVi4YNG+oKxAhb8Pb2pn79+ly5ckXahtFo5MqVK2RkZFCrVq0bEifUJrMJge5LL71EamqqvK6ioiLpny9dupQ2bdoQGBhY5demuD7p6enUrl3bZhxaO6aUN+4s9he1HSYyMzNJT0+vct9Ca5ODBw+Wjx86dEj6bUJALgS6BoOBuXPnSpGaimMqxBrA29ub2bNnk5+fz+bNm8nNzdUV8oJrRWT+/PNPgoODueeeeyptQ8ePH2f37t3yd3GuoUOHKv/8JkaMiW5ubnTo0IGIiAhdrCYlJYV//etfrFixAi8vL+nTALKIi1hDNm/eXNdltKxjtHidj48PI0eOJDk5mTVr1pCWlqbr9mgymVi7di2dO3eW+wSKmwutQPedd94hJCREFsISc51WoPvyyy/TtWtXuxR4KU2YK/bDSxLmlnf8FALdF154gby8POBqEZuxY8cyevRoFUeqRjZv3sz+/ft186a47xMmTKBTp043/Jr8/f0ZM2YMqamprFmzRuYeaYVju3fvZsKECbRs2bLMe5RCoDt79mxSUlJ0ewbCD/r8889p06YNQ4YMuQGfVGELbdx93bp1NGnShLZt2+Lu7k5gYGCxwqxivLTu6GiNsBGxpyiKbghE8Zaqnku1fpDWzo4cOVLMDxICXYAXX3xRFstWftDtgdFoxMPDg169enHu3DldMaCy7BEJgS5czRe1tYdqXfzYbDYzdOhQPvzwQ0DfwVxRsxH3NyMjg9q1a9scEysaPxLF+8XPcK1DaWpqaoX32suKtUBXIArXWI+bW7duBWDevHn4+fmpcbOasd4v0f5flnzb0hB7KiL3U/gv9moidD2sBbpTp06Ve+ii8I24JpE3OnnyZOX7KBQ1BLXCUSgUiipCm4z+9ttvM3r0aAYOHHhDk9EDAgJwc3OjoKBALhbDwsIoKCgo8Tq0TtKKFSukQy0S27RBJOFwmc1m9u7dywcffMALL7ygBLq3OFrn8scff2Tx4sWkp6fLTUIhshH2oQ1oi+cCAwMZNWpUqQliwhYHDRpEdnY2+fn5nD59Wp5HOMBGo5H4+Hj+8Y9/MGPGDHr16kWfPn2KdV0R13Tx4kW2bNnCunXrOHv2rExeMxqNmEwmfHx8eOaZZ5Qgo4awadMmnTC3sLAQBwcH4uPj+eqrr7BYLBVOSBABP9GtQWuzLi4uuuQKe41pwi47duxIp06d2Ldvn0zEFBtSZ8+evW6Q3xZq3K0eioqKcHJywt3dnfT0dDnmOTo6kpaWRk5OTrkq/1anQLe0awJ9UrC3tzfe3t4ymXLq1KlYLBYiIyOJjY3l7v/f9VwFJG8cf/zxB5s3b2bHjh1kZ2cD18YF7bwJ1+6LWMcVFBSQk5PDb7/9Jv+1bNmSf/7zn3h5eVXqukoT5ooq6Vph7sqVK8stzBVYC3QLCgowGAzceeedTJw4kX79+gGqmMGNQNz3y5cvM3HiRJKTk8nOzsbZ2Zl+/fpVq0BXXNuwYcPYsmUL8fHxwLVOFNHR0Vy8eJGgoCA1ht0mxMbGMnPmTOLi4mTijFific3hjh074unpibOzM1lZWURHRxMTEyOr4RcVFeHr68uzzz5Lly5dKnwtQvzl5eXFY489xsKFC8nIyJB2uHfvXgYPHkxQUFCFxrKyCHTF3JCXl0d0dDShoaFyXldULdZjZ1JSEgAxMTHSN3F0dMTNzY22bdtSp04devbsSWBgIA0bNqR58+YUFBTg6uoKFO8qKjbugoOD2bdvn1y3ms1mMjIyOHXqFC1atLhhn7c0ga7wj7QC3aysLGbPni0/n+LmQDuX/vDDD3z22WekpKQUKyRoS5w7bNgwVqxYwYULF3QJxIWFhaxfv56AgACaNGliN2EulFzMUMwPtWvXtsefRXETIey3b9++fP7552RmZupiiSdOnGDNmjU88sgjNt8v5usBAwbwySef8PTTT+sEusLmioqKCA0NJTQ0lJCQEPr370+/fv1kEpK4jpSUFC5evMjy5csJCwsjOjq6WGzTzc2N1157rVqSnRVXiYyMZPz48SQnJ+Pk5CSFAtrkXuGnw9WOEBaLhejoaDlWubi44OjoSMeOHfH19aVHjx40b96cgIAAAgMD8fHxoW/fvvz0008y9m6xWIiPjycpKemGjlfXE+gK24SrXXy0CW+K6iMyMpKHH34YX19f6tSpQ/fu3WncuDFNmjShdevWWCwWGXO3laQO2PSXvby86NSpExcvXtQVt0hJSeHMmTP06dOnyj9beQW627dvx2Aw8OKLL1K/fn0VN1IA1/wVHx8fXnjhBfLz89mxY4dOoAvIgkcxMTF8+OGH+Pv7y871FaGwsJD9+/eTn5+vOwdA8+bNK//BFNWOm5sb06dP56+//pJrSxGrOXv2LB999BFz587F3d1dFoS5fPmy7DxmNptp0aJFpdd6Pj4+TJw4kfPnz7N9+3YZCxMx0oMHD5KWloaHh4c9PraiGihJoKst/mNvge6NFOYKBg0axAcffMD//d//4evry/jx4xk1apRKTq9mLly4AOh9IKPRSOPGjbn33nuB6tlDbtKkCQ899BDR0dHs379ft3fq4ODAlStXWLBgAV999VW5vgu2BLpaQfIDDzyghLnViDbuPmHCBJKTk4Gr3fGcnJxo164dXl5edO3aVfrdQUFBMg9Ei1b8A/qiLtpibMIXunTpksxxqmp7L69Ad8eOHcDV8bi0phqKWxN/f3+5thSxxb1799KrV6/r5mkIga7FYuHvv/+WdqXtJioes1gsPPjgg3zwwQeAEubeTIixMzIykjFjxlC3bl3q1KlDcHAwjRs3pnHjxrRp0waz2SxzisoTP/L29qZDhw5ERUXJQkEmk4mkpCTOnj1Lz549q/wzVkSgazQaefHFF/Hz81Pxo2pC2GZ0dDQbN26kdevW1KtXjzZt2lBYWFgsF6mswl3xOpEHqc2DBzh69CijR4++IePY9QS62j1WJdBVKGoWapWjUCgUVYDWObFORr/rrrtuWDJ6UFAQzZo1k50eHB0dyc7OJjMzE19f32KvL02YqxWpiU4m4nOKxeCePXsAlED3FkYbINd2M9V2GxOOiXBOtGJdi8VCrVq1GDhwIHfddVexQKYWbeLlyJEjMZvNrFy5krCwMJ0DLDpWmUwmvvjiC3788Uf69etH+/btadeunUzMvHjxIlFRUaxdu5asrCzZ0VqbvAbw7rvv6jrwKqoXs9lMu3btiIiIoKCgQI43ooPu+++/T9euXSskzhW2rBVOChF5amoqERERtGzZskrGsgYNGjBkyBD27dsnxWni34kTJ4iKilIdJG4SHBwc8PT0pF27dsTGxgLIzbbIyEiuXLlCq1atyn3M8gh0lyxZgsFg4K677qoygS5c+87Y6tLm5OSE0WikdevWtG7dGlDC3BuBxWLh6NGj/Pbbb/z000/yce3mn9ls1v0M+s1wuFZxXyTgHDx4kIMHD7J//37GjBnDnXfeWSEhWHk75lZGmCsQAl2z2cyKFSu44447mDJlCn379pV/M7VGrXqEL6RNSD927Biff/45QLUKdIVNtmzZksDAwGKCzLy8PD766CM6d+5M3bp1q+UaFTeO1NRU5s+fz8WLF3Xzr8lkwsvLizFjxtC7d28p7hdERUVx8OBBVqxYwblz5ygqKuK1117jjjvuACo31ojxLzg4mMDAQE6ePCl9n0OHDrFlyxaCgoIqdfySBLpav79JkyaMGjWK4ODgCp1HUT60cSTt2GkymaQPJGwzMzOTQ4cOYbFY2Lx5M3A1ubdx48Z4eXnRs2dPvL29adOmDY0bN8bT0xM3Nzfpf4tCVMIPEYlC6enpN/xzX6+DrjYGlZCQoIS5NxnaTW5tDAmQ4nC4Kp4V600tjo6ONG3alAsXLug2wU0mE3/99RetWrXi3nvv5cUXX7SLMBeujcHWa9H8/HzZqVJxe9KmTRtmzJjBRx99JP0nkcxx7NixEsW51gKxTz/9lOeee07aqDYxXiQh/f777/z999/4+voSFBREw4YNycjIkHGGCxcuyO+DtmOqiG0uXLhQ+j+KG8/FixeZOnUqycnJODs7y/tiLbDSPq6N84hxrKCggPz8fA4cOIDFYmHjxo3AVSFNixYtaNKkCfHx8bpuJCIpKDc3V16PtouA9jrsTWkCXRGDGD58OO+//77uuhTVg+jsnJmZSW5uLpcuXSIkJAS4ei/9/f1xd3ena9eu1KlThw4dOtC8eXO8vb2pV6+ezdig9p4KgauIQ4l5/EZ1mBCfo7wC3bS0NBYtWlTpQnWKWwcxLvv5+fGvf/0LR0dHtm/fTlZWlq6AtRi7L1y4wMsvv8zrr79Ox44dcXFxKfO5hL2ePHmS5cuXU1BQIO3UYrFwxx13MHr06Cr8tIobhdlspnnz5syaNYtFixZRWFgo/XKAXbt2ERQUxNixY+VeaExMDHB1PHVycmLUqFHS/6nofGqxWAgICGD27Nns27eP/Px8aXOOjo7ExcXx008/8dxzz6mY+k1MWQS6RqPRLgLd0oS5QJUIcwWDBg3i66+/5vz584wcOVIlpVcjZrOZnJwc/vrrL+BacXTxXNOmTWnSpAlgW6hTlYixLDg4mOHDh3Pq1ClZGFN0O3VwcODEiRPs2LGD/v37l2v8sxboipim8oOqF23cXQhznZycZAEMQAq1f//9d+BqsazmzZvj5eVF79698fPzIygoiCZNmuDk5EStWrV0dmE0GmnTpg1t27blxIkTuj35S5cukZeXd8PGpbIKdB0dHcnKymLjxo1069aNCRMm3JDrU1Q/wj66deuGo6MjBoNBzs+RkZFA8di4Lby8vJg/fz5OTk78/vvvxeJO4v+AgAApzM3Pzy+Xj6SoPqzHzoyMDHJycjh//jxHjhwBrt7jgIAAPDw86Nq1K97e3rRv357mzZtTp04d/Pz8dHOethmEWB/Ur19fl7ckcjZE1/EbQXkFulu2bCEtLY2PPvoIT0/PG3adiqtoC2489NBDci43Go0EBQVRq1YtevToIYv7tmzZEgcHB7y9vYutS63tUTzXoUMHPDw85LGFr56QkABwwwoMVKSD7sSJE1VcU6GoZpQ4V6FQKKoAo9FISkoK06ZNk4GdkJAQmYx+IwS6RUVFuqQxEVBMSkri0KFDxaryXU+YKzbS77vvPho0aMCaNWvIyMhQAt3bCG1S5fLly2VSpXA4RLDG09MTX19f+vbti6urK0VFRezdu5e0tDTi4uLo0KEDU6dOpXbt2tcNZms3hkaNGoWrqyurV69m37590sGw7jKRlpbGhg0b2LBhA05OThQVFeHi4iKrWYugujYpSVz7kiVL6N+/v/y8yn6rn2HDhuHi4sLXX3/N8ePHpTC3oKAAgBkzZtCuXbsKHVvYs7+/P4AuWchsNpOYmCgft+cmibCt++67j++++45Lly7JBA6AtLQ0UlNTlTj3JkMIxMW4IipOi+4o5aU8At1z587JQEtVC3StEddj6zuiNherlqKiIr766iu2bdsmEyi186JYv1lvgFj/LGwWKFYsQIi/f/75Z1588UXuuusu3ftKmyevJ8zVim3sJcwVODk5MXfuXFq2bEm9evWUMPcGI7ox//Of/9QlpBsMBkJDQ2uEQNdsNuPp6ckzzzzD448/TnZ2thRDODg4EBcXx59//ik3o5Xd3JqYzWY2b94sx1Ct+NHPz08WgRHzqsVikdVWAwMDCQwMpGvXruzfvx9fX18GDhwoX2cPm2nevDlPPPEE//d//6cTKy5ZsoTOnTtXqqCQLYHuunXrSE9Pl8LccePGMXr0aLWxeAMQc6ZIXtQKc0XxIKCYuEfbia6goIAzZ84AV7vbwNUiRG5ubtSrV4/u3bvj7+/PwIEDcXZ2pnnz5roOFgCnT5+W59EWaavqMbAkga6rqysFBQUUFhYycuRIGYNQ8/nNg7hPv//+u0zA0a4FRXGYzMxMDh8+TPPmzXX31t3dnccff5y9e/eSl5cn4zgODg5kZGTw+eefs2LFCqKiouwizIWr9lVQUCAFb3BtzKxfvz5eXl4qkfI2plu3btSvX5/4+HhpjxaLhV9//ZXBgwdzzz332HyfNsFn0KBB/Oc//+Gdd97hypUrstChiAuJMdFisRAXF0dcXJzNY2oLHon3uri48NFHHzFgwABAjZfVQWZmJpMnT5YxRRG/hGv7M2KOFSJvuGYj2mKX2vsnYkyFhYWkpqbKglpa29J2mPjiiy/o378/QUFB+Pj4EBgYaLMrgPYc9hjbrAW67733Hi+99BIpKSmMGDGCBQsW2O1ciopjXQxGiMKEjRqNRuLj44GrYnO4OhcaDAa8vLxo06YNderUoXfv3jRo0IAmTZrQqFEj+V6A7t276/aNhJ2FhIQwdOhQu8R+ykJZBLoicT4nJ4cGDRqoBDZFMcTcXLduXV566SVcXV3ZsmULqampuudFkYSzZ8/yr3/9i8mTJ3PXXXfp9nmsxz/t7waDgdOnT/Pss8+SlJSkWzfXrVuX4cOHA2p+r07sNXaJe967d286d+7M4cOHdfs+MTExrF27lsDAQN36UiTdOjo6Uq9ePd2xKoIY/9q0acNzzz3HggUL5PpErEmioqLkaxU3L6UJdLW+eWUEutcT5oqYK9hfmCvo27cvvXr1Ut34qhlxP1NSUgB0c6TJZGLQoEGA/cbU8qBdG44aNYrw8HBWrFihK2hkNptJT0/n6NGj9O/fv9zjX8+ePVm8eDGzZ88mOTmZhx56iHfffRdQflB1UFJBzMLCwmL+uLaItclk4tSpU8BV4S5cLY5Zp04d6tSpQ5cuXfDx8aFXr14EBARQv359nJycijVJMRqN5Ofnk5ubS61atW7YOu56Al2RRwdX87GUMLfmIMZGbUdbsO/4IWywcePGuLi4kJ2dLYsGnj9/nvz8fFmYvySEfXl5edGuXTt+//33YrYtXhMbG8sLL7zA/PnzcXFxqZbxX1E+rldMWBs/EkWEzp49C1z1WRwcHKhduzbt2rWTY2WDBg1o1KgRDRo0kAUCALkvCNf2QEUxzIEDB1ZL/Kgkga7wn7Kzs/H391f759WAtWg8OzsbNzc3mZcp7PDo0aPAVXv09fXF3d2dLl264O3tTZcuXWjatCm+vr74+vraHOtcXV1xdXWV46NYyyYmJt7w7t9l6aAr8qg//fRTWrduLXNWFApF9aAiEgqFQlFFaBPNRYWVsLCwGybQFY5zv3792LNnj64bSlJSku61ZRXmDhkyhI8//hiAwsJC1q1bR2ZmphLo3iaI+/jrr7/KRBprYe4dd9zBQw89xD333KNzQjMyMggPD2fVqlU88cQT1KtXr8yBR61A9/7778ff35+AgAB++eUX6fAUFRXpKhlpO0aIJHqt2Ei8Vhy3bt26vP3220qYW8MQ92fQoEGYzWa++eYbwsLCZGLbc889x8yZM3WvrcjxAwICgGsJt2Lc+/HHH6XN2RNhW3Xq1MHLy0uXjCcSiquja5WiYgg7atOmDXDNjgBycnI4ceIEnTp1qtC4crMIdBU3HpPJxCuvvMLmzZvJyckB9Lan/V1sJGpFuOJnbUKPGP/E82IuzcrK4ty5c8ycOZN58+YxZMgQ6tevrwtQW1OWjrlVJcwVODk58eijj+o+s5rbbwxGoxFXV1fatGnDuXPnZOdDYRM1QaArrqVJkyZ06dKFPXv2yO+MtrL7+PHjdWtRxa1FYWEhmzZtIikpSZd44evryxdffFGsAIzBYJD2KsaU5s2b06RJEzl22Wus0Qp4xo4dy48//khhYaEcRzds2ECrVq0q1cHRlkB35cqVBAQESGGu6jJxYzAajVy6dIkRI0aQn58vN9FEkox2fhbzr/hd/CwK/Wg7LxYUFJCTk0NycjLh4eEA/O9//8PJyUmKhrRCoMjISLmBKSqmC6yrQ9t7TrUW6E6bNk1ey/Dhw6UwV43HNxciHvP3338D14RpcC0x19XVFZPJJAuqWb+/ZcuWjBgxgp9//ln6ziIxKTU1ldTUVF2nycoIc8Xrzp49S1hYmPzOiWvu16+fLMqkuD0JDg6mb9++rFmzRo67Ym7etm0bffr0wdnZ2eY4pfWf7rrrLmrXrs2yZcvYv38/qampOl9Ja3daEbA27ikSoERRwiZNmjBv3jzuuOMOQPk/1UWtWrX45JNPcHBwYO/evaSmphIeHk5MTAy5ubmkpKTIODoUF+xqY9YC7f6M1ga0icTWFf7//PNP/vzzT+BqAnGbNm3w8vIiODhYJg63bNkSg8Eg13vCbrWJ6bYEvddDe339+/fn9ddfZ9++fbzxxhu64yuqh8uXL+u6RWkTH4WIVtiftb2ZTCaSk5Pl/p/o5lynTh0aN25M/fr16devnxS4Ojk5yS7OYkwTBQeqcl1pzfUEuiIeP3z4cLk3qsZQhTVivenr68vzzz+Pt7c3v//+O1euXAGu2bRYk0ZGRvLJJ5/wxx9/MH36dHr06IG7u3uxsVb8fvHiRUJCQli0aBEJCQlyXSDmia5du8qiico2bzzx8fH4+PjIcdNeibjt2rXjoYce4vDhw3I8gqv2ER4ezrJly/D19cXR0RE3Nzc5TteqVYtatWrZZU4V72/bti3u7u6yKzRcHQv37t1LVFQUDRs2VPP3TU5JAl1tvkRFBboiZnTlypVqE+YKlDC3ZnD+/Hni4+PlfCbWkgBNmzYFytaVsSrQ2vyzzz7L6dOnOXz4sHxexMx//PFHhg4dKvf/y0OPHj1YsGABW7Zs4fXXXweUH1QdCH/28uXLjBs3jpSUFJydnWXumDbGLhB2qo21a4tjxsbGEhsbK4W7X3/9NRaLhbZt29KtWzeZIyeOb7FYSEpK4tSpU/j7+xcrjlWVPlFpAl0RP1Vdnasfa9+zsLAQBwcHsrKyyM/Px8/Pz2ZsprL3y2Qy4e7uTkBAAOfOnZPHvHDhAlFRUbRo0aJM17xixQo+/PBDAF08QfwOV79H69evp6ioiIULF+pyWBQ1D21XUuv4kXUDHOt9SfF7fn4+iYmJ7NixA7iaZwxXG140bdqUgIAA+vXrR0BAAN7e3hiNRpkHKuJHomhcdcWPrAW6wtdX8aPqoyTRuIg9CrRzt8VikbZ06dIlWfzXYrHg4+ND27Zt8fPzo1+/fvj5+dG8eXPq1q1Lw4YNuffee1m9erW0a5PJJMfIZs2a3dDPXppA12w2y+/k0KFDlTBXoagBqKiEQqFQVAFFRUV4enrSo0cP1q1bB1xzOm+UQFecT1ROFVX4Afbu3cvEiRPlxl5ZhLlDhw5l0aJF8vgvvfQSDg4O/Prrr6qD7m3EwYMHWbp0qayGBdec7uHDhzN37lzpOAsnoKioiNq1a9O7d2969uwpN5PLE2jRVm4NDg6mWbNmtG7dmnfffVcmKwsnWGu31oEB4UiLTaA6derQuXNnZs6cSffu3QHlONcktPf9vvvuw2g0snTpUsLCwpg9e3alhLni+AB33nknS5YskcnAIqiSkpLC4cOHuf/+++0ejBbfj5YtW3L06FFdkrLZbJbBA2WPNR9hF2IzUTv2ALIgRkXvoxLoKqwxmUw8+eST7Ny5U7epoe3+bTKZ5Jji6+uLp6cn3t7eUsSVmppKYmIi2dnZJCUlyXlSu1GuTQAXx3zvvfeIiIhg1KhRBAcHlyjQFd+LlStX6oS5IoHI0dGxSoW5tlBj6Y1D2ETdunWBawnn2rm0Jgh0AerWrcuwYcPYs2ePbn0LcODAAb744gueeOIJtSF9i/L9999z4MABuaFnMpnw8PBg3rx5tGvXrtR1mPZx7dhlr7FGe5x+/fqxbds2KaYUAqDRo0fj7e1dqfHTWqDr7e1N7dq1GT58uBLm3kAsFguhoaG0adMGZ2dnTp8+LTvGwjU/Fq7dM203B+3z2uQHrbBLHCc1NVXnF2tfc+jQIUaMGCErB4suAA0aNMDHxwdPT0/deCi+I/bylbQC3W+++YaJEycyaNAglSB0E2MwGEhISGDr1q3FilIVFhbi7e3NP//5T7p27Ur79u1tvt/d3Z17772XLVu2kJSUpCumIRD2XFlhLkBWVhZr166loKBAro2FWL1Tp07yfGptefsh5tvJkydz+PBhIiMjpYjWYrGwdetWpk+fTuPGjUu0Ea3/1KVLF+rWrcv+/fv58ssvuXTpEoCswq6NcWoRiSXajs4DBw5k1KhRsrCIstHqpWvXrgByzCgoKCA3N5ekpCTOnDlDRkYGBw8eJD4+nsuXL5OYmCgFXaAvpmXdMQUo9jqgWIxI+PFFRUXk5eVx7NgxALZv3w5cLSxbr149XF1d6dq1q0xGatGiBbVr16Zu3bq6pDdtgRDrx2yhfe19993HfffdJ69dzeXVhzZ5TazhtGOOQHu/be2viP/FeJSZmUloaCihoaFs3rwZgNatW5Ofny+PKd6XlpbG2bNnadmype5xgVYcbuv5imJLoGswGDh48CAmk0l1dlaUiHasE/Etb29vZs6cSb169VizZg2nTp3SCSxE8nx6ejqHDh3i0KFD9O3bl3bt2jFw4ED8/f1xcHDA1dWV48ePc+bMGdatW0dMTAzZ2dm68d9kMtGkSRNeeOEFVSSmmrh8+TKDBw+mefPmrFu3zm4CXWFbo0eP5ty5c3zzzTdyjSfm8P3797N06VJGjBhBYWGhHIu1HavsRc+ePenVqxdbtmzRjcE5OTnFYqaKm5fSOuhWRqDr4OBAXFwcQ4YMwWQy6QQcYl8Iql6Yq6g5aOPYWh+ldu3a+Pj4VPv9F+d2cXFh8ODBhIaGYjabKSoqknHX/Px8kpOTK3yOfv360a9fP0DZe3VhMBhISUnhiSeeICUlBUdHRyn+EpS0L64V7loXMdLeS9Gx7vjx44SEhOj8ZXENFouFbdu2ceHCBdq3b0+DBg2oU6dOsVi7dj1pzw6pWoGu+C4ePnyYYcOGqbh7DUDYzNatW7l48SLbtm0jPT2d1NRUCgsLadSoEbVr16ZHjx60b9+ezp07U6dOnUrfL0dHRzw9PencuTPnzp2Tc7boDNmiRQubcZ/rNf8RsQJr/8hgMLBp0yYAJdCt4ViLH7X3URuz1o4v2phSafGjtLQ02dFUFHxr166dHGe19pWSksL58+cJCgqyKcy9EfEjIdA1Go0cOXJExY+qGaPRyIULF5g2bRrJycm4uLjY3EfXxtmtCxCKn4uKikhOTmbXrl3ANQF548aNqVevHp06deLcuXO6ed3BwUHubQqqYu4u7fPbEuiKgt+q4IZCUXNQ4lyFQqGoAoTzKKqkaDfj4MYJdOHqJnitWrXIzc3VVacWi0ZBWYW5wiFycHCQ3XWuJ9CdPXs2HTt2rLLPqLgxZGRk8NdffxEdHQ1cSwYDGDlypOxkI3BycgL0yeriO2AdYCnNWRZ2pX3O19eXKVOm0Lp1a9atW8eePXtISEiQz2urC4vziYA6XLXjli1bMnXqVHr27ElgYKC8DpW8VrPQBj4GDRpEfn4+JpOJkSNHAsUdyvIG8CwWC56entRQlOkAAQAASURBVPj7+xMZGalL9M3IyGDNmjXcf//9dnemxffD1dVVfg7xv4ODA76+voASk90sWCwWPDw8AKRAQiTPxMTEyMcraj/WAl2LxcLKlSuVQPc2xGQyMW3aNA4dOqSrEikQm4ReXl4MHjyYrl270rt3b+rXr1/M/kwmE3Fxcezbt4/Q0FD+/vtvUlNT5fPaQLsQJZhMJn755RdSUlLIzs6mf//+JYpyli9fzvz58wF0CRjVIcxVVA/9+vVj2bJlOhutSQJdMXY++OCD7Nq1i02bNsnvlEi43Lp1K3379lW+zC2G8D1OnDgB6JMp2rdvLwUV9lqHVbTrmGDgwIFs3bqVX375Bbg6jiYlJTF//ny+/fZbuQapKFqB7hNPPEFBQQEuLi6VOqaifBgMBoYPH87w4cMBiImJIS4ujitXrnD48GFSU1M5efIkWVlZ5ObmyrlZoO0aqi0UY70xrrVpsfkoEDGiyMhIIiMjCQkJAa4mqZnNZurVq0ebNm3w9fWlT58++Pj40LBhQwICAjCZTMXG8IpW/9cKdDdt2kTz5s11x1NUHWlpaXh5edndB71y5Qp5eXmyM4UQ0fr5+fH111/TunXr6x6jf//+TJo0iUWLFulEiXAtZiDWmitXrqRbt27lTsoQ35cLFy7IeKZIyDSZTLRr144HH3ywXMdU3FoIf6VBgwa0aNFCF0MSc/Nnn33Gm2++Weq6Vms/DRs2ZPTo0QwePJj//Oc/hIWFcfjwYWnP2gQj4VOJ5/z8/AgKCmL27Nk0btyYOnXq2DyHonrQjkGOjo54eXnh5eVFUND/Y++8o6Mqtz78zEwS0gjpldB7CaF3QUQQEBApgoCKoCLFjteGDaSoKB+Kil5AehFsXBEbUpUWaighQCpppPcy5fuD9b45ZxIgQCqcZy0WyWTmnDNz9rxl7/3buzEAY8aMQa/Xk5qaKgW6Bw8eJDU1lbCwMBITEzGZTKrCW1B6p13lOZXzvjIZTvwTY5rJZCImJgZAJmEKMYaTkxNt2rTBzc2NLl264O/vj7e3Nw0bNpQdz8Vx4dqddkuzQ20ur1p27dpFx44dSUxMJCUlhdTUVCm6Eoh7qezmfa0kdWubUwrJw8LC5GNClGGxWDh48CBPPPEEDRs2xMPDg65du+Lm5kbjxo3x8/OT3SFL8yNYFxu+WUoT6KakpNCiRQstsVKjVIQAMyMjg9zcXPz8/OSeq3bt2owaNYpGjRqxcuVK9u7dq9p3WRc8/Oeff9i/fz9r1qyRY6WdnR0ZGRmqc1oLc11dXfniiy9kDFOjcrl06RJPPPGE/HnixImsWbOmXAS6Sp/69OnTSUhI4Ndff5X3X4yff/31F+np6bIYNlwdg5UFEG4XsW/39PRUPS78+GlpaZXeGUij4qgogW5OTg7Ozs6kp6eX2MOAJsy9WxDzX3Z2NlA8jgibcHFxwdPTs9rcfxsbGwYNGsSKFStISEhQ7WXy8/P5+eef6dq1KwaD4bb22dXl/d6NuLu7s3DhQoqKioiNjeXAgQOkpqZy5swZMjIy5F4Fivfxyn239Z4b1MUxlb5vpRDdWsi7ceNGABwcHNDr9Xh5edGyZUvc3d3p2rWr7NLn7e1d6hh5O512rYtn5eXl0aNHD6ZNm6Y6tkblk5GRwYEDB/jxxx/ZtWtXiSJsFotF7hf+/fdfAIKDg2nZsiVPPvkkbm5uODs739I9FDYh1n/CbvPz8/n333/p3r37NV8D184xtlgseHp6kpiYqLJbcQ5NoFsz+PPPPwkKCiIpKYmUlBQyMjLIy8tT+Y+EjYo9rHVcsjT/kbIIsfAfnTlzRj6mLFb5zz//8Pjjj9O0aVPc3d3p1q0bbm5uNGzYEF9fX1nwqjT/0e122i1NoJucnEzr1q01/1EVkpmZyeTJk2UnXOWe2Hrutp7br1eAUPgajUYjsbGxREdHc/z4cVlsSHmfc3NzWbp0KUOHDsXLywtfX198fHyuO3eXp4BcKdBdtWoVTzzxBIWFhYwYMYL58+erzquhoVF16CzWZZc1NDQ0NG4bsUDfsGED7733XomFlljwtWnThqlTp1aoQDc/P5+HHnqIyMhImYDh5ubG6tWrZZLjzQhzRaBJbJBNJhMffvihFOgC0mkvBG4vv/wyTz31VIW8P42KR9jzkSNHmDp1KtnZ2apgysCBA/nwww+pVavWTYlbrZ8rbCohIYGioiJq166tSiy7VmX+zMxMUlNTWbZsGbGxsRw+fPia5zQYDNx///20aNGCCRMm4OzsfLMfh0YVcb2NrEDpuDt06BBNmjQpczXxr7/+mk8++QRQV8wym808/vjjvP7669e8jltB2PCcOXNYt26dKolNp9Px3Xff0aZNm9s+j0blkZmZycMPPywLGMDV+9ysWTM2b94skxdvB6WNv//++yqBLqgTI5s0acLMmTM1ge4dhNFoZPr06ezevVvlVFSKaBs1akTHjh156qmnqFevnur1RUVFch0nqpcriY2NZf369Rw9elRW91UeXylYBOjcuTPjxo1j8ODBQMl53Xp9Kc6pCXPvHs6dOyeLaSgDLspAtcViISgoiKlTp1ZpB90ffviB+fPnk5OTowogAsycOZPp06drRVzuMCIiIhgxYgT5+fmq4PCbb77JxIkTb+vYZV0vlsWmxLFSU1OZMmUKZ86ckQlztra2PP/880ycOFEbR+8AlIKW0mxIFMaIiIjg/PnzpKamEhISQnZ2NtHR0apKvcox91rV/8U5ratRKwONIrBeVFSkOqbA09MTX19fPD096dChA3Xq1KFVq1b4+vri4uJSQuR9MxWEldekBRIrnsTERHbs2MF9991H3bp1b2vOs75f//77L5MmTVIlabi6urJy5Upatmx5w/ur/Pvbb7/N5s2bAVQCXbhq915eXvz22284ODjc0nvIyMhg6tSpHDt2TJUg4unpydtvv82AAQO0tetdjrCr0NBQJkyYINcRYnxt3bo1X331FV5eXmUeu4RNmc1mcnJy2LVrF2FhYezbt4+8vDzi4uIwm824u7tjZ2dHy5YtCQoKokePHrRs2VKzxxqK8r5b20l2djZpaWkkJiYSGhpKRkYGR48eJSUlhfj4eHJyckocTxl/utb8LrBeB4jnCiFYaTg6OlK/fn2cnZ3p0KEDHh4eNG3alEaNGuHo6Ejt2rXL5XPRqBxycnIwGo2yKEtKSgoHDx6UXW2FmAJKritFkQxlpxS4vo1Zv760daWLiwuurq54eHjQtm1b6tSpQ4cOHfDx8cHb2/uacZzbSUKGqwWbRDEubc2poUSM0zExMUydOpUuXbowZcoUAgICALW9ZGZm8tFHH7F161bpW1DaO6Aaa8WaWFloQbmeEN+PunXrsmzZMlnYQaPyeeaZZ9i9ezd2dnaYzWaMRiPBwcHlJtBVcuTIET799FNCQkKA4gRh5Z5HuUd55513GDduXLn6Kzdt2sQ777yjigdYLBa+/vpr7rnnnnI5h0b1wWw2Exoayvz58zl27Jgc05RF000mE61atSqzQDcsLIznn3+eyMhI7O3tyc/PBzRh7t2EuL9iPBExQUFgYCDff/99tdk/iOtdsWIFH3/8sbR7Mf517dqVVatWVfVlatwi1xtvUlNTycjIICIigjNnzpCWlsaxY8fIyckhISGhRBEMMdeKtZy1r906H1T5OuX+6Hr7bk9PTwIDA/Hy8qJz5864uLjQvHlzvL29cXR0LJFroszZLItvqLQ1gzYmVx0JCQl89NFHHD16lPj4+BJF1ZT+GkDajnisQYMGBAcHM2nSJFXxy5tdGx44cICnn35adpo0m82MHj2aOXPmqJ5XFmGu2Wxm8ODBzJ8/n//85z/s2LFDvidrofvgwYP5+OOPZe6J5t+snmRnZ1NYWEhkZCSRkZEkJydz+PBh0tPTuXjxIrm5ufK5leU/qlOnDm5ubnh6ehIUFISrqyvBwcH4+vri4eFRoqC1OPbt+I8sFgunTp0iKCgI0MbOqiIvL48zZ85QUFDA0aNHycjI4Pjx42RmZpKUlEReXp7q+WLsuVGcXGA97ipj9uLv4nHxPE9PTxo0aIC7uzudO3fG1dWVJk2a4Ofnh4ODQ4k4+fViAjeDeP2+ffvYtm2bJhrX0KhmaJ1zNTQ0NCoAsRjz9/dXiSeskyIquoOuCJz4+flJca7JZCI5OZmYmBgaNWp0S8JcUHfxs+6gKzY1ZrOZYcOGacLcGo6obrl48eISwtzg4GCeffZZuZm42Qp9AElJScTFxbF69WouX77M+fPnycvLw8vLi7p163LvvffSr18/mjRpokoaEtSuXRsXFxfmzp2LwWDgyJEjpKenc/78eQoKCtDr9Tg7O9OqVSvc3Nxo0aKFfK3m5Kk5lLZ5vJYw9z//+Q+//PILb7zxBoMHD1aJvK0RNtWtWzcaN27MxYsX5RgmqqBu376d5s2b8/DDD8skidsNdouNf3h4uOpxGxsbmjVrprJTjZqB6Oxg7byxdgDdDsq59+233wbQOujeJZjNZt599112796tcmIrhbn33HMPEyZMoEOHDqoqqcIulGJc8bPSGV23bl1eeOEFsrKy+Oyzz/jf//5Hdna2dFgajUY5NppMJg4fPkxhYSG2trbcf//9Jda5EyZMoFatWsyePRuj0YiDgwN5eXmaMPcuwWw24+vrS6NGjYiIiFCNU0oBGlR9B12Ahx56iO3bt7N3716Z6CZs/bPPPqNTp0507dq10q9Lo+JITU2VFVTFWCQEL3BzAWzr5xYUFKDT6Thx4gTJycmkp6dTWFiIq6srLi4uBAUFYW9vr0pCulawRDzm7OzMAw88QEREBIWFhbJz3p49exg2bBju7u5awKWGo9znKhMixe9ubm64u7sTGBgok2Jzc3OxsbHh4sWLXL58mZiYGLkfDgsLIy8vr9Tq/8oCHNZBb+V5AZlAV1oF4dTUVJKTk4Grndjg6v7cYDDg6+tL69at8fT0pGvXrnh4eODj43PNvZn190j5s2bXFUt8fDwbN25k+fLlFBYW8tRTT93yfldZdC0nJ4fGjRvj6OgIXPUrinv58MMP06xZszKNW0o7nTp1Kmlpafzxxx+qIDZc3SslJSXx4IMPsnDhQtq0aSOT1soypsfFxfGf//xHJcwVoolu3brRrl07eR6NmsX1CrvdLGLv1LhxYwYMGMC2bdtUY+jp06fZtGkTM2bMKPPYJexNr9dTu3Zthg4dytChQ5k5c6a0a5PJhJubGzqdTnZZudb706gZCBtUFsQQduDk5ISzszOBgYF06tQJuFqA1cbGhpiYGCIjI0lKSuLff/8lPz+fXbt2ldoZQjn/ixiVGDOVfxM/KzuSi/9FUmh+fj5nz54FkIUx7ezscHBwoHbt2rRr1w5PT0/at2+Pvb09ffv2reiPUOMmUc6Fjo6O6HQ6goKCZGLhhAkTsLGxITY2luTkZCIjIzl27BipqamcOnWK3NxcmXRpXRxDaWOlicTF84Q/XPyuXFfm5OSQmZlJdHQ0x44dA6BWrVqYTCZ8fX1p2rQpXl5edOvWDXd3d+rXr4+Pjw9Go7GED+FGnVKU/ishzFX6KDQ0lMLcCRMmkJiYSEZGBo6OjowbN466deuq1qguLi7MmTOH1q1b88cff7B//36ZiCy+A9ZdzZU/W/vMXF1dadeuHW+++WaJ4osalUvbtm1lV2ThIz9+/Hi5dtAVBAcHM3r0aDIzMwkPD1cJJOGqfSjH0YsXLwLl031HYN0JS4hAtNjSnYnooPv666+rBLq300G3efPmLF68mJdfflna6KxZs5g8eTKg7V3uBsT9VTZ8AHVx6cLCwmpjC+IamjZtqhJeiPViSEgIkZGR1KtXr1pcr8bNUVrhf/G4q6sr7u7uNGzYkH79+gHIIkUXL14kNjaWhIQEKUITvnbl+k2s88S4qSwkqPy70tcu/i7WkmLcLSoqUvnaf//9d+CqCM3BwQEfHx9at26Nm5sbHTt2xNvbG19fX5ydnUsdl0vr1lfamkGz66ohJiaGadOmyVwx5bij3G8LlOtA8U+IJX/77TdefPFFevbsSePGjW9ahCjiNUrfvfAFCF9kWYW5gwYNkg0x3n77bcxmM7///nuJDrp6vZ7t27djsVi0DrrVEOW4IXyU7u7udOjQAYBJkyZha2tLdHQ0iYmJREdHExISQmpqKqdPnyY3N1cWOLhV/5FSoA7quGR2djYZGRlERkZy5MgRAOzt7TGbzfj5+dG8eXM8PDzo3r27jKn6+PhgMpluuiu58vsk/Gea/6jqcHBwoGPHjgD06NEDuDp363Q6IiIiiI6OJikpSRYgPH/+PDk5OaXGyZXCXaXPXDlnK3+3jlkLn/m15m5HR0e8vLxo27atnLt9fHzw8vKidu3apdrQzXTaFdffq1cvevXqpXq9hoZG1aN1ztXQ0NCoQA4cOMCUKVNKVD5TbqwtlorvoPvZZ5+xdOlSuVkxm80sWrSIrKws3nnnHeDmhLlKrDvo/vjjj2RkZAAwfPhwrTLLHUJsbCyTJk0iNjYWQCZAzpgxg8mTJ5eo9HMtlA6VgoICtm/fzvfffy836OLYJpNJVtK0tbXFxcWFDz744JqJPTcrlizPSsIaVY/SrpSddPz9/ZkyZcoNBboC8VplIq5YKrdr146nnnqK/v37A7dnQ+K1eXl5PPzww1K0JMbnPn36sGzZsls6tkbVIJx1zz33HH/88YccI8U9FZ2Qy2vc0Tro3l1YLBZWrVrFN998Q0pKisoJLRzXQ4YM4Z133sHFxUW+5nbt7eeff2bbtm3s3bsXQNXtTBlg7NmzJ1OmTKF79+6lnnvz5s288847snLg6tWrNWHuXYToMCGwLiag3BNVVQddYYvnz5/n2Wef5fLly9LxLZLQ2rRpw8KFC7VuJXcQ69atY86cOarxzMPDg++++w5/f/8yH0e5z01JSeHMmTOsWbOG6OhoIiMjS32Nl5cXrq6ujB07lubNm0vRxY2IjY1l8uTJREVFqboOTJ8+nZkzZ5b5mjVqNtYVfa2TIwSxsbGkpaURHh7O2bNnSUtL4+TJkxQUFJCYmCifJ+b3G51D/CxQPqb0NZVW/V+sWfz9/WnYsCHe3t506tQJFxcXmjZtire3N7Vq1dLWBVVAZmYmK1eu5IcffiAhIYERI0Ywf/78W1qnKUUMgwYNwtPTk2XLluHh4cHQoUPJysqSa8nPP/9c7q1vlhMnTvDZZ5+xb98+oNg/JX42Go14eXnx6KOP0rdvX1l0AZBdoEXAXa/Xk5ycTGhoKEuXLuXUqVMqoaTRaCQgIIBFixYRHBx8S9erUbUIu0xOTub8+fMyaQNuf8/0888/y4KVyoSMVq1a8fHHH9OoUaNbPrYyIcg6Oci6CJPG3cH1Yivz5s1j9erVqjWBxWLB3t4eOzs7MjMz5XPF2G6dOAwlk+EEpRWEE0VuxJyvPNaQIUNYtGhR+b15jQpHmfRVmq2lpqaSm5vLhQsXuHDhAikpKRw9epScnBwiIyNLiLmUnU6UnSmsz6d8jXhceW5lxyDr13h6euLt7Y23tzft27fHxcWFNm3a4O3tjaura4l4lTLhUotTVh/KsuYsS1JieaJc0z766KNcuXKFWrVqUVBQgKurK6NHj2bMmDEEBgaWeA1AVFQUISEhLF68mJycHHJycuR4qYzDi/ckEoyFfXbo0IGBAwcyZMgQPD09K+U9a1yb3bt388wzz8jflWu+8uygK+bYwsJCVq1axbp160hISJDnVNqNsBV7e3uWLVtWLsUExfk//PBDVqxYIcddg8GAs7MzP//8Mz4+Prd9Ho3qSVFREWfPnuXjjz/m0KFD8nGlAOhmO+ieO3eOSZMmMX78eGbMmAFouUJ3G7/88gsvv/xyic53Dg4ObNmypdrFWYxGIxMmTOD48eMl9lU//PCDyrekcWdxLT+49d9jYmJISUnhwoULnDx5kvT0dE6dOkVBQQHp6eklxDzX863faN8tGgiI9YW1r13EhgICAmjSpIksYlSnTh0aNGiAt7c3er1eVbRbo/oQExPD+PHjSUpKKtE9sbT9s0A5h4q/C1+4wWCgd+/eDB06lCFDhshjlcW/n5mZycSJE6VQ2Gw24+npydatW/Hx8bkpYa7IMRZ5npmZmbz11lv8/vvv0p+kFLqJTrsfffRRuXSS1Kh4lMUFS7tfycnJZGdnc+HCBcLDw6X/KDc3l9jY2DL7j0qLfVr/rCx4aN1ZWomXlxd+fn54eXnRsWNHXFxcaNWqFd7e3ri4uFy34Jtmj9WTG83dgsuXL3PlyhUiIiI4fvw46enphIaGkp+fT3p6eonYuBiHlM0yrM8Lav+U0pcqfAWlzd0iJunn5ycLEHbt2hVXV1dZgFCn05WYu5VFiq9VaENDQ6P6oXXO1dDQ0KhArKueQfFCTbmIr6gOumIB6ubmpnrMYrEwf/58rly5Aty6MBdK76C7atUqhg4dqglz7yB2795NTEyMXOQbjUY8PT0ZOXJkmYW5UJwAtH79eg4cOCCrBkHxZls4Y5Qb75SUFKZNm8Zbb73FqFGjSnxHStt8KO3O2ga1zUr1IC8vj8zMzNsO6gq7euutt9iyZYtMto2Li5Mi1+sJdIV9vP7664SGhnLmzBlpL8LpcuLECTZt2oSTkxPdu3e/ZhJ8WRCv2bRpExEREaqNtKOjI4888ojqujSqP+I+iUr2SochXE1iK89xx7qDrk6nY926daUmTF64cIElS5ZgsVjo06ePJtCtgYSFhfHnn3+SkpIiH1MKc4WIQsnt2JuwrWHDhtGgQQMaNWrEqlWrVI5EZXGW/fv34+TkhKurKy1btixx7jFjxlBQUMCSJUtYtWqVJsy9SxBzWEBAAIDKiS1sRynQharroCts0c/PjwEDBrB+/XopehT7uYsXL7Jlyxaefvpp1d5Ko+YiCgNdKwmiLCjHsh9//JE///yTP//8U/5d2ZUXir8XqampXLlyhblz5+Li4sLIkSOZOHEi3t7e1wxAWywW6tatyxtvvMH06dMpKiqSY/LGjRvp1KmTLJKgcWdTWkEWpWALkONv3bp1ZTcwuCogt1gsnDt3jrNnz7Jo0SIZsBavU1b3V9qiGL+ViUY3U/3fbDaTkJBAXFwcAD/88AMA3t7ecn36/vvva13KK5nCwkJ+/vlnmfi9d+9ekpOTb1oIoBQxjBs3DqPRSEJCAq+99hqLFi2iQYMGHDt2DJ1Oh52dHd7e3sCtiSPbtm3LU089hcViYf/+/argtBCLXblyha+//prvv/+e8ePH07ZtWzp27KgKbIsiCmvXruX8+fMyIUopzLW3t+e9997ThLk1FGEb0dHRjB07luzsbB544AEmTJhA/fr1qVOnznWLHFwL8dxhw4axc+dOduzYoUrWOH/+POHh4TRq1OiW/UbW4rTS/qb5Nu8uSlsbijFPFJZRdnqoVasWzzzzDJ07d+b48ePExsZy+PBh8vLy5FxsLaxVFttQJkyK8wnEXC/+F7EluNoZfd68eRX0KWhUFNbdH0BdJMDNzQ13d3fq1q0ri6fm5uZiY2NDeHg4CQkJREVFcfToUdLS0jh79ix5eXlyPi3tfNcS7JZmd6V1SklLSyM5OZkzZ86wa9cuANl5wt/fnxYtWuDh4SE77QYGBlK7dm2KiopuKp6lUb5Yz7tir5yamkpSUhIAWVlZ2NraUrt2berWrYvRaMTJyalSrq80Ya6trS2FhYUYDAbS09NZv349OTk5vPTSSzg7OwPINaROp6N+/frUr1+fDh06cOrUKX788UcuXrxIQkKCqluLQKxP77vvPlq2bMnkyZMxGAzl0olV4/bx8PDAzs4Oo9GoyqMo7w664nthZ2fHxIkTSU1N5ccffyQtLa1EYRaxNy8qKuKXX36hSZMmeHh43Nb7FONsWlqa/F0IMiuzgKJG5WM2m7G1tSUoKIjOnTtz6NAhVZxR7I9vtoNuixYt+OWXX3B3d5fn0eLddxf169fHxsZGrt+UfsX09HSgehXT1+l0svixQKwBlMWONO48SvO1C8SeCCAgIIDAwECCg4MZNWoUAFeuXKGwsJCwsDCio6NJSEjg/PnzREREEB8fX2KfJfbQyj24dfdIcV5xPUpfuzXx8fFcvnwZgC1btgBXixi5u7vj6+tLu3btcHFxwd/fnx49emg5ItWA+Ph4pk2bRlJSkip+KAS2Op2Orl27UqtWLdzd3SkqKuLChQvk5eURFRUljyNeqyyctnv3bk6ePElMTAxTp04tcx6Gi4sLfn5+hIWFyTw7UfRVmcdXVmGu0WiUexwXFxf5GusOuhbL1Q6q27dvJz09neXLl2trhRqAMq+jNP+Rh4cHnp6eNGjQQBZnzc7OxmAwEB4eTlxcnOy0m5GRwblz58jPzy/hI1LGPq8l0lX6j5RdzcW1Cf9RSkqKzI//66+/gKu2aWNjg5+fH61atcLd3V36jwICAnB2dsZoNGp7oWrK9eZu5R7Gz8+PgIAAgoODGTFiBHBVQF5YWEh4eDiRkZEkJSUREhJCVlYWERERWCyWEr5MZU6vOIfyfIDsvnutuVvYbFxcnJy7v/vuO+Dq3O3h4YG3tzft2rXD1dWVdu3a4e3tjZubGwaDQRsfNTRqGJpXV0NDQ6MCEULDslRAqwiBrji2qPyTm5srN/dC4HE7wlyBUiQ0a9YsWrduzbBhwwDN2X6nkJ2dDair4Dds2BBPT88b3mOxMU5LSyMqKorFixcTEhIiRQ9Kx5Hy+yE2LUox0Ny5c3F2dmbYsGE3dNhfL5FNo3pw5MgRdu7cyTPPPIOvr+9tHevrr7+WTmdhLwaDgcTExBsKdIUz3MHBgWnTpjFv3jzi4uJUXfNMJhN79+7FYDBQUFBA3759r9lNoCzEx8fLCsTKDlOOjo7Ur19fXpdGzUCMR7Vr15aPiQQjs9lMZGQkffr0KVdBonLunT17NsA1BboXL17ks88+A9AEujWQbdu2ceTIEUDt5LZYLAwePFgKc8vLvpQJZUFBQQQGBuLj48OHH36ompOVnXZ+//136tWrR+PGjbGzsysxR0+cOJGHHnqI2rVra8LcuwRhq507d2bTpk2qNV6TJk3Q6/WcPXtWzqNVLdCFq4m8w4cPZ8eOHcTHx8s1ql6vJy8vj99++43g4GD69++v2XANxjpopxRiiaqlZUE5ln3yySesXbuWvLw8oOT+RhnEEXtvsUbIyMhgxYoVnDlzRla1tre3v2ZxoaCgIAYPHsz//vc/ea0ZGRns3buXLl26qL5PGncfpdmM0pZEwm6vXr0IDg5m8+bNxMXFyXWFyWTC29ubVq1akZWVRWhoqBwDQS3Cse7qCMX2rfxZ+MWUdikSTSwWC6mpqRiNRoYMGaIJc6sANzc3AgICSEhIwGAwkJOTw7lz5+jVq9dN7XWFAHLEiBHk5ORgZ2eH2Wzm7NmzPP/88zg7O6sE2yJB51ZFi506dcLW1hZbW1t27dolE5HE2GswGMjLyyMmJoYFCxbg5OSEv78/Dg4OMrk+Ojqa1NRU1XHFHCHG7UWLFtGrVy+geiWNatwYpTB3/PjxpKamYmdnx88//8zRo0dp0KABM2fOpHHjxjg7O9+UQFf53O7du7Nz50451om90ueff05wcLDWYUyjwhAJk3C1aIG9vT2FhYVyHs7Pzyc6Oppnn32WTp06AVBQUIDZbOb48eMkJiYSGhpKWFiY7Gih013t2AclhbfKNbSyi4VY05rNZoYNGyaFuVpMqOZT2rpSOU46ODig0+lo1aoVrVu3BuDJJ58EIDY2loyMDHbv3s2qVavIysoqsXYUCbnKrhTKBLZrrSut159KUXleXh5Go5GMjAzOnj0LwIoVKzCbzfj7+2NnZ8d//vMf7r333kr4BDWsUdpPdnY2oaGh7N+/nxMnThAbG0t8fLzq+QaDAX9/f2rXrs2wYcMICAjgvvvuK2FH5cW1hLlClCmuPScnh0aNGklhrsB6DdGgQQMaNGjA0KFDiYmJISwsjMTERMLDwzEYDNjb22NjY0OHDh3w8fGhRYsWqs9Ko3rQqFEjPD09SUpKkoWtxPhTEQJd0RH3ueeek4WUxBhqXQjebDbzxx9/0LFjR4YMGXLbgu7Q0FBZ7EBcD8DAgQO1Ne0dirLj2E8//cTSpUsBVGs+KF7X3axAVxPm3t3UqVMHuFoUTimsKSgo4Oeff6Z9+/bVxi7EvqZ58+bs2bNHXqsY74WgR+Puo7R8M+W+xsvLC0AWKYarRYzmz5/Pd999pxLkmkwmPDw8KCwsJCsrSz4G1/e1C5RxK+XPIhfEuojR+fPn2bNnD3A1Rn/fffeV3wejcUukp6fzwQcfyP2AUphbp04dxo4dS9euXenRo4fqddnZ2ZhMJtatW8fJkyfZtWsXRqNR1W1X7K9TU1NZvHgxiYmJvP766zeMsYtrqFu3LlCcN2exWDhz5gy9evWSTQLKKsy1XpNeS6CrtHU3NzfN716DuZH/yMnJCZ1OR9u2bQkKClK9Njo6mvT0dHbt2sXatWvJzs6W46GwR+siH6IgsNJ/JM6t9B8pHxPXKewuNzcXo9FIamoqp0+fBuC///0vJpOJunXrYm9vz6xZs+jTp08FfnIaFUFZBOQ6nQ5/f395fwsKCrCxseH8+fPEx8dz8eJFjh07RkFBgSwQrNyPK38GdS79jebu6xUgDAsLY+/evQCySJ2/vz+tWrXC19eXLl26YDKZuOeee8r/g9PQ0ChXNHGuhoaGRgWjXPyLBZiHhwfJycklktErqoOum5ubTApWBriBm9o0Xw+x0LSxsdGEuXcQYsOckZFR4m92dnYymd0a5b3X6XScOHGCDRs2cOjQIeLi4mSwRlk9XWyulVWMxLGVFd/eeOMNGjRoUGLTrlFzEE6+3bt3s2HDBgCefvpp/Pz8bvmYvr6+BAcHExoaSlFRkSrBpywCXWGTHTt2ZNiwYWzYsIGMjAzpnBFj3K5du8jKyiIzM5Nhw4ZJp8/NinS+++47du7cKc8tvgfPPvssjRs3vuXPQaNqEPN469atZSK66C4KSIdeec+JmkD3zufvv/9m+fLlQLHYC67e286dOzNr1iygWORfXigDIG5ubkyYMAEnJyfeeeedEgJd8fN///tfmjdvztChQ0sNoAjxuiZqvLtwcXFRBUAA6tatS7t27cjKyiI2NrZaCXRbtGjBf/7zH1544QVZ6ENcX1xcHJ9//jn169enRYsWmtC8hiLsTIxJykBdcnIy8fHxqmSK0lDe+/fff5/169fLv1l3HhX/W1f1VSZzGo1GDhw4QFxcHJcuXeLZZ5/F2dm51P20m5sbffv2leJc8fq1a9fywAMPEBQUpAnINFRca/3p7OyMg4ODDG4L6tSpw8KFC6lTpw5nz54lJyeHw4cPk5CQwKVLlwgPD6ewsFB2nxYoCyQJG79e9X+x3zeZTAwbNowPP/xQ9TeNysFgMBAQEMChQ4cwm80UFhaye/duevXqdVP3wWKx8Pfff5OTkwMUV4kWFdGV+/PCwkJOnz5Ny5Ytb3kuNRgMtG/fnlmzZuHq6sqPP/4ofZ7KRGIxJufn5xMeHq46hrB75RpbjM0ODg4sWrSIfv36yfenjas1B2FrQlyTnJwsxRI6nY7Y2FhiY2M5cuQI9913H7179+ahhx6S97gsdimeO3z4cDZt2sSZM2dUnU9SUlI4ffo0Pj4+2ppRo8JxcHCQ+3MxDur1es6dO0deXp4s/GJnZydF5QAPPfQQcFXIe/78eXJzczl27BgxMTHExMRw9uxZTCaTLNIhEHO+SMgUwlxtLr/zKa0zhVK4I+yvbt261K1bl4CAAH766SdVbMlsNuPs7MyTTz7Jzp07SUtL4/Lly6qYpfW6UpmECSUTL5VFXqE4SU4UYCooKCAuLo4BAwZowtwqQKyjdDodRUVFrFq1iiNHjqhEgCIWLTrsicK+sbGxMjEcoG/fvnTq1Ilhw4bh7e1dbtd4I2GusEmAWbNmMWHCBNV7u9FxAwMDCQwMLNO1aOvO6oXYI4n7b13wrbwFumLf5ODgwMsvv0xRURHbt2+XSerKzvaiq9miRYvw9vaW8/utYDKZOHToELm5uapxHa4KlDUqlqr43ivP+eOPP/Laa68BxftjpZBB+fPNCnRBK0R9N2I2m3F3d6dZs2acOXNG5S8HiImJkXZRHeY9cX5R1LC07qUaGoLSxjRhxyaTCUdHR7p06cJ3331Xwnb69+/P+PHj2b17N5GRkcTExHD+/HmMRqNsliGwtbWlqKhI5Wu3HpuFjSptVZkvYDKZGD58OG+++Wa5fw4aZUfcs127dnHy5ElA3bzB09OTDz/8kODgYBwdHVWvAWRRoGnTppGcnMzff//Nxx9/TE5OjiqOrfSFb9iwgezsbF566aXr5uAJW+nSpQvr16+X+2iTyURcXBwAq1atkoXib7X5j7VAV7neVPqTqsOcoFE+lNV/VK9ePerVq0dAQADbtm0jMzNT5aOvXbs2jz/+OH/99Rfp6enEx8eXGmMvzX+kzNNXjpnKvHlr/5HJZCI2NpYBAwZowtw7iOsJyC0Wi/SZt2jRgpYtW8q4IMCCBQv49ttvSxSvtLe3p6CgQFWkXdijUgiu1I0Aqrnb2r+gXB8XFBRgNBoJDw+Xsc1ly5YxZMgQTZyroVED0MS5GhoaGhVISkqKDL6JBVetWrXo27cvhw8fJioqqsIFuhaLBV9fX5o3b05ISIiqWovYZNyuMFdg7XzXnO01H+tqQsrutmFhYcTHx+Pn51ci2Vw8//Tp0/z7778sXrxYbkaUHfnE/8LxVFoFIWX3E7GRWbZsGR988EGpIkuN6o8YKxISEgDYsGEDJpOJZ5999pYFusOGDcPe3p4VK1Zw4sSJEpX3yyLQhauCh5EjRxIVFcWuXbvIy8srIdANCQkhNTWV6OhoZsyYId/PtZyF1o+vXLmSL774AkCV2NGjRw+6det2S+9fo3rg6uoqEyKh+N6np6cDFRPA0wS6dybCGbd//35VEA2u3lMfHx8eeeQRmYhW0WsuOzs7HnnkEfR6PbNnz5ZrRev5+a233iIgIIAOHTpU6PVo1BzatGlD/fr1Vcm2ubm5TJkyhVq1arF+/fpS90RVKdDt168fEyZMYO3atVJgAUiB0dtvv823336Lo6PjbSXcaVQtouKocm+snLOvhTK5Yf78+VKYK4LSYk5W7pus/xfzstlsVlW1jo6OZsuWLWRmZvKf//ynhEBXzOmDBw/m6NGjrF27FqPRiK2tLYWFhSxYsIAlS5bg6elZvh+Wxh2HGLv8/f05f/68tEG9Xk94eDiHDh3i/vvvp2XLlgCy415hYSGZmZlkZmZy+PBhrly5QkhICHFxcWRlZckupNbCCeuu1EohhSbmqTrEeFW/fn2geG967tw5cnJycHR0LPP+RafTMXToUAoKCvjkk09Ua0Wl70escf/55x9GjRql8g/dLDqdjsaNGzNv3jx8fHxYsWJFie6lykC3slOL8hjC7kwmEw4ODjRq1IhXXnlFJrdrSUE1D71ez+XLl3nkkUdITU2lVq1aFBUVqeZhg8FAfn4+27dv55dffmHXrl10796dBx98UK4R4Pr332QyYW9vz5QpU3j77bfJzs6WNpaamsrmzZvp16+fJsy9i6iq8aJRo0Y0bNiQiIgIuQYV3csjIiJo1apVqXYo5gF7e3tZBFP4JYuKikhNTSU7O5uDBw+SlJTE8ePHiY6OpqCggJSUFFmIYfjw4SxcuBDQ5vK7Gev7LhLVfHx8iIqKUsVIbW1teeCBB5gyZQqFhYUcO3aMlJQUDh06RGxsLMnJyURFRUlhLai7Sin36aUlqSuT3oTIU7PTqkF81llZWfz7779s2rSJ/fv3lyiSItaMIk4iXguo/KK7du1i165dnDlzho8++qhc5tjrCXPFNYqfX3nlFSZPnqx6b9ejtOtTvq60Y2jrzuqDSNIVPknl+KLc01aUQNfR0ZHXXnsNg8HAr7/+Snp6ukqgK3zySUlJvP7667z33nt06tRJrmXLsi4Rzzl9+jQrVqygoKBAlczetWtXHn300Vt6HxplQ9zT1NRUnJ2dK8UHfj1hrihopCwqrSyCBbcm0NW4u9Dr9Tg5OdGmTRvOnDmjEuYC/PPPP/zwww+MGDGiWsx74nso1p0CGxsbCgsLcXNzq6Ir06gpCDsWY6HoHK1c2wrfY7NmzWjWrBlw1deekpJCTk4OR44c4cqVK5w4cYLIyEiys7Pl3G+917HeEynjT0ox77Bhw7Q9UDVA2Me2bdtISkpSzbNubm783//9Hx07diz1NQIxd3t6ejJ69GgaNmzIpk2b2LNnDxkZGaXmbGzbto3c3FxmzpxJs2bNrnv/XV1dS4jDzp07x9dff80nn3wC3LowVyAEujqdjt9++w3Q9ul3K6X5jxwdHfH29iYmJkYVT7Kzs2PYsGHSfxQSEkJycjJHjhwhOjpa5m2KorBQeldyZUyoNMEuaP6juw1r0bjyZ+Gj0uv1uLu7q/6m1+sxGAy8+eab+Pr6cv78ec6cOUNoaCi5ublcuXJFJSBXzt1iTlcW3bqWPVrbsdlsZsSIEbJYgoaGRvVGyyDU0NDQqEAuX74MFAssLBYLHh4evPTSS2zfvp21a9cSGRlZoQJdcczg4GCOHDmiqmpensJcjZqNsnNNaU5wIf5RisAyMzPZuHEjTzzxBG5ubhQVFWFrayuT0r/88kt27dolO0YKh5D1BkRUEbK3t6ddu3a0a9eOvLw8UlNT+eWXX1Qd+sTmIywsjKysLE2cW0OxWCzExsZy/PhxeW83b94MwNSpU/H39y/1dcpiB0oHiLDbAQMGAEiBrvL5QqArxtZBgwZdM5gSGBjIjBkzyMrK4uDBgxQVFZUQ6EZERPD5559z/vx5pk6dSmBgILVr11Zdm7Bd8Z26cOECP/zwg6oLpnAGOTk5MXDgQK1rbg3H29sbDw8PUlNTVc6Uc+fOkZ6ejouLS4U47zSB7p2HXq8nOjqabdu2yQCbslNDgwYN6NWrV6UnPYwcOZL8/Hw++OCDUgW6BQUFbNiwgQYNGkhHpcbdjbOzsxSxiv3OmTNnSEtL49FHH5VrgOok0LWzs2PgwIGcOnWKEydOqAI2NjY2nDx5kmeffZZvv/1W1TVKo2bRpk0bXFxcyM3NlXsMo9HI//73v+vuwcU8/u2337Jq1SqguMuPOI6joyP+/v4EBwdTv359KdLJzs6WnSVzcnJU3RpFICYjI4MdO3ZQq1YtXnzxRZycnFSdhsR8P3bsWI4fP05oaKhM8oiMjGTPnj08/PDDWsCwGqLsnKgcN6pCyCPO3bZtW9mxShksjImJUT1fWVTL09MTT09PVfecoqIiEhISOHfuHKmpqRw6dIjU1FSioqJISEhQidWh2BegCXOrFmGPnTp1kuORxWLh2LFjXLx4UQq1yoq7uztjxozBbDbLAm3K5F5lIbe9e/fyyy+/MGTIkNu2f71ez4svvkjz5s3ZsWMHO3fuVHXRte78pHz/Yn1iMpnw9/dn4MCBDB8+nBYtWgCaMLcmk5mZSXBwMDExMaquycr9i1h3mkwmduzYwa5du9iwYQPTpk2jSZMmNGrUqMSeWon4DjVv3hw3Nzeys7NV4rN//vmH3377jYEDB1beG9cod6zv/fnz50lJSSEsLAxHR0fq1KlD7dq1pShBuYasrDHE3t4eJycn1Xgruk9euXLlmtdSmj9BOef7+Pjg4+Oj8lXm5uaSnJxMaGio7Hj66quvAtpcrqFGr9djb29PgwYNOHTokCqpPC0tjejoaBo1aoSdnR29e/cGirs5Z2ZmEhkZKQvCJCcnc/78eaKiomTniBt12lUmr2lJ6VWD+KwTExNZvHgxR44ckYm2ws8p1p/KNZt1IWBlkrjZbCYgIIAhQ4ZUijBXKU575ZVXmDJliuq93QrK12m2WL0RyeCOjo4q/w2ULMJWkQLdWbNmUatWLbZv305SUlKpAt2EhATefPNNHnvsMfr27UuzZs1U+yClrSl/1+l0nDt3jueff57k5GTVvtDT05MHH3xQvk9tX1T+iHsRFRXFkCFDGDJkCHPmzKlQH3hZhLk2NjYUFRVhZ2dHgwYNZFE3ZXErTaB7Z3OjQhI3QthZly5d+P7774HiBgBinNm1axd9+vSpFnFE8Z0Qoh6BGPdr165d6dekUbNp0aIFderUIScnR9qR2Wzmn3/+ISkpCS8vL1m0SDQuaNKkCXD1+1NUVERycjInT54kJSWFgwcPkpKSQnx8PAkJCXLPo/S329raSn+UyWTS/O7VjK1bt8oiRaIokb29PTNnziwhzC0N671Sp06d8PX1pU2bNnz77bfEx8fL8VXsjU0mE3/99ReFhYXMnDmT1q1bX3OuDg4OpkGDBsTGxkqbDQ0N5fjx40Cxfd1ujrGLiwtz5swhLS0NZ2dnbZ+uAVzd+zg4OFCvXj1CQkJU41tKSgoxMTHUq1cPe3t77r33XgBGjx4NQHp6OhcvXpS5ncnJyVy8eJGoqCiKiopURRJA8x9plA3lWBkUFEStWrVkMWCxDz927Bjz5s2TPs2ioiKysrI4ceIEqampHD58mPj4eJKSkqQvTPi3xDgr/AbCR6YsBKbsAi1sUwhzNdvU0Kj+aNmDGhoaGhVITk4OoK4oWVhYKLuPGY1GNmzYUKEddMXCbfr06aSnp7NlyxZVNx9NmHv3Yu1Yv3z5Mr/++iu2traMGDECV1dXlXPHycmJnJwc6dAzGo1s376drKwsHn/8cens2bFjB/v27ePQoUMlKmCD2nEkuv81bNiQ559/noYNG0rBrcVioU+fPrz66qsqAZBeryc2NpaffvqJGTNmVP4Hp3Hb6HQ64uPjpYCxLAJdMW5dvnyZf/75h379+uHh4SGPV1aBblJS0g0FuhaLhcaNG/Pqq68yb948jh07RkFBgaqjlOD3338nLCyM+vXr89RTT+Hp6UnDhg2Bq3afmZlJVlYWa9eu5fjx4xw7dkz+TRnAHzFiBI888oj8XQt010x8fHzw8/PjypUrqgp8QoRTkQUFNIHunYMYZ/78809VtVMRrHF0dOTll19WzdOVhV6vZ/jw4SQnJ7Ns2TLpvBZOSIDDhw8TERGBu7u7Soikcfch7n/Lli05e/Yser0eo9FIRkYGZ8+epVevXkyaNAmdTsemTZuqlUC3c+fODBo0iJMnTwLFSXFi3XLw4EGeffZZvvjiCzmna3N3zcLNzQ1nZ2cyMzNVc3Z8fLx8zrXua0hICD/88ANQnEwrAnwPPPAA/fr1Y8CAAdjb25d47WOPPUZMTAyLFi2SYiEhWBPXkZWVxW+//YaXlxeTJk1S2b0YU+vVq0eXLl0IDQ2Va4DU1FR++OEHHnrooVLXrRqVS2kFhcTjBQUF0vdSlWOHSIBTdj8xGo2EhobK/bpyTC5tThfdmwMDAwkMDASuBsb1ej0JCQmkpKSQmJjIoUOHSE5O5ujRoyQmJnLfffdpCULVBFdXVzlH29raUlRUxD///ENQUNBNr+VcXV0ZO3YswDUFumKc27lzJ506dcLHx+e2rl/Yz+DBg+nSpQujR49m6dKlJCYmEh8frxrjhRAXigPg9erVo0mTJrz00kt4eXnh7Owsj63N7TUTi8VCy5YtWbx4MdnZ2Xz55ZeEhoZy7NgxldjGulK56Bz95ptv4u3tLcUNPj4+Kr+TNY0bN2bSpEm8//770tbhamLv8ePHNXFuDUfcz9WrV3Pq1Cl27NghOy8rn9O8eXPq1avHE088QePGjalTp45KwFBRiHE2ICCA48ePq/YtRqORw4cP06dPnzIfT9kFQCBs32Qy4ejoSL169ahXr57qddpcXj2oTvdB2I3oGqVcTwrb7Nu3ryomKdYdLi4uskhIr169gGLfakpKCkeOHCE5OVkmXmZkZJCVlaUScgoBiNbxpGoQn3VsbCwvvfQSp06dUolwlYWnlIV8rDuGlFbQKjg4mODg4Nu+xqoQ5mrULIQ4RlnUTelrETYtxp2KFOi+8MILuLq6sm3bNi5evCjjnUqBbnJyMl999RW//fYbEydOpF+/fqpiscr4EMDFixc5evQoS5Ys4cqVK6oYvMlkol27dtx3332Ati+qCJTC3AkTJmA0Gvnpp59wcnLitddeqxAf+I2EueLnoqIi7O3tWbVqFe7u7syaNUuuM5XfAU2ge2ci7m9CQgI6nQ4fH5+b9g0JO+vatSuenp4kJCSocpIsFgu7d+8mNDSUe+65p8rnVnG9ym7RcHWtYGtri6Ojoxb/qWYoxSvXui9leU5F4ebmhouLCxkZGaqChUVFRRQWFpbarU9gMpmws7PD399f5kuNHz8eQIpzxV4oLS2NU6dOceXKFQoKCuSaZMiQIZrfvZpx4cIFQH3P69Spc9P7GuXr69aty+jRo2nSpAnvv/8+UVFRqoYpYq+1d+9ezGYzU6dOpUOHDqWO53Z2dri4uEiRGFBi/VtezX9cXFxYtmyZzE/SbLRqqE6fuxinRS6dtf/o0KFD9OzZU2Vv4mdXV1cpcO/bty8A2dnZZGVlkZyczOHDh7ly5YrsTp6VlYXRaFT5j4QfVfMfVR+q07pLNOlR5rzrdDqioqLkc0Rs1d3dXQrIR44cCUBqaiqXL18mMzOTgwcPcuXKFU6fPs3ly5cpLCyUhesEwu5FUQQhzNXmdQ2NmoWmwNLQ0NCoAEwmE0VFRYSGhpb4W6tWrXByckKn0/H4448DsHHjxgrroCuO5eDgwOzZs9Hr9WzevBmj0ciQIUNYtGgRoAlz7zaUi/V9+/bx119/sW3bNrKzs4GrnUP79+8vnYUuLi74+/sTHh4uA35wtaPO+vXr2bp1qwzYiaqSIsgnNimiqo9yU9G3b19GjRpFp06dpMgIioPww4YNIzU1lQULFqgS3ACSkpIq/oPSqDCOHj2qSrC4nkBXdGWOiYlh2LBh0nE9aNAgmVBengJdcaxmzZrx5ptv8umnn3Lw4EFycnJUgWwxXkdFRREVFcW+ffuoVasWLVq0kB0qYmJiyM/PJzU1VR5fVF6Dq9/FoUOH8uabbwJoQrZKojSHhbLi+K04M8S9ExV0rZ2GMTExBAQEVKgjSRPo3hkI+xPVSK3n0KZNm+Lv719ljjcXFxeGDRtGTEwM27dvl8JhuGqDCQkJfPrpp6xZs0Ybz+5yxP1v3bo133//vWq+j4uLA67a+xNPPAFQbQS64vxPPPEE58+f5/vvv1fNEeL7uGvXLubNm8dbb71VbQIEGmXDbDbj7u7Offfdx9q1a1V7lBMnTrB+/XqeeOKJEvdVzKOHDx+WwlohaAN4+umnmTp1Kg4ODqpkY2Wnn8aNG9O4cWM6d+7MZ599xs6dO4mOjpbrVBEQvHLlCr/99htBQUF07969RPcgOzs7nnrqKf7880+io6Pl+vLw4cN88sknvPLKK1pwpooRn//p06e5cOECf/75J4mJiWRmZlJUVETr1q3x9PRk8ODB+Pj4SGErVF7gsW3bttja2mKxWFQdyMLDwyksLKRWrVo3PMb1/Eje3t74+vrSunVr+vXrB0BWVhYFBQV4enoCWiCxOtCkSRN69erFzp07pQ3s27ePqVOn3tJa7kYCXTHm/vLLL3Tq1Ilx48bdls0rE+M9PT3p3bs37dq1Izk5me3bt5OQkMCJEyfIz8+X3a9sbGxo164dLVq0oHv37tSrV0+zwzsIYUsiIeLNN98kPj6e3bt3s2nTJmJiYsjOzlbt/8W8rdfrycrKIisri3feeYdOnToRFBTEs88+i729vUyKsBY59OzZk+DgYE6cOKESHa1evZr77ruPTp06VeVHonGL5Obmcvz4cdatW8dff/2l2g8oC6sAnDt3jnPnzrFnzx7uu+8+Bg0aRP/+/Su8YIqYh4OCgvjll19UVfbhagdSuD1RzfWKdAi0MbRqsJ4/hZAsPz8fg8Egu9dWBeK62rVrp0ooE2uNs2fPAuq15PW6OYsO0d7e3rRs2RJAdq2IjIzkwoULJCUlcejQIbKysjh79iz9+vXTEiurAPFZR0ZG8uSTTxIXFyc/e+EnF3tkBwcHfHx8cHd3x9vbm4yMDPkvOjpa7rVr1apFQUEBtWvX5plnnpFFW2+V6wlzReccTZirodPpyM7OJjMzU9WZDsDT01PGqJUiiIoS6Nrb2/Pkk0/i7e3N1q1bCQkJkX5Wk8kkbTo3N5fTp0/z2muv0aFDB5o0acKgQYPw8vLC3t4ee3t7jh07xoULF/jxxx+5cuUKubm5qjhtUVER9evX5z//+U+16Gh5JyLGkujoaB599FFSUlKwt7cnPz+f9evXA5S7QPd6wlxl5yYhzF29ejVBQUEUFhby+uuvM3/+fE2gexegtM1Ro0bh5ubGqlWr8PX1ven8BbPZjJeXFw8//DBff/01gEoEnp+fz5w5c1i1ahX+/v5VKsIQDTZETBaKc0Xat29P48aNq+S6NErHej128eJFUlNTiYiIwGw24+bmRkBAAO7u7vj7+1+zk3xFIezcx8eHmJgYOWYCUiBWt27da76+tDWD+P75+fnJTrv3338/ABkZGeTl5REZGcnJkyfR6XQ89dRTgLZ2rQ6YzWZyc3P566+/5GNiXdmvXz9atWp1W8d3dHSkZ8+efP3118yYMYPw8PBSBbr79+/HbDbz/PPPExQUpLILYV9BQUGcPHlSFfOE4vGwPIS5ApGXJPxrGhVPaeOB0WgkPz9f5jZarz0ra24W5wgKCpIF0ZX+o3PnzgHq8bE02xPX6+DggLOzM35+frRt2xa4mnNaVFREdHQ0YWFhJCUlcfjwYTIzMwkLC6N///6a/6gaUZrdVdV98fX1xc/Pj8uXL8u4gMViISQkhHPnzsn8YGvE2Oru7i731T179gSKCxAmJCQQEhLClStXOHz4MBkZGaSlpalE5A899BALFiwANNvU0KhJaCosDQ0NjQrAYDBQUFAgu+6YzWa5cHRzc1Ml6laGQFdQq1Yt3njjDdLT08nPz9eEuXcpysX6unXrWLp0KZmZmRiNRhn82bZtG926dcPR0RG9Xk/dunUZN26c7AIhEsdFYqWo5qPT6VQd/pSCHWVAOzg4mHvvvZdnnnlGXpdyY6/caHXr1o2AgAD5fRJ/u3jxIvn5+djZ2WmbjxpIXl4egEzQvZZA19vbG1tbW6Kiohg/frx83Zdffglc7U5WER10xbGaNm3Kq6++ytq1a/ntt9+4cuWKDD4JR7oywTgvL092xxWIYKV4rrJr0NChQ/noo48ATZhbWYgxMDExkSNHjhAcHIyjo6O0AeskW+ufr4V4XadOndi/f790XItO4xcvXqRbt24V7sDUBLo1H4vFQkJCAqdPnwaKO3yJMad3795S0FJVNG7cmMGDB3Py5EkuX74sr1GIFs+ePcuePXvo06dPtapsqFG5iHsvAs3KIPT+/fsZM2aMLMBRXgJda3u7lblV2LPBYGDu3Lmkpqaya9cuVSDTYrFQv359/P39yc/Pr7KEZ43SE9LLOme3adNGihKVyWX//PMPAwcOlIkOAp1OR2RkJMuXL8dsNsukNbi6bn3hhRdUzxe2Z71XMZlMODk58cILLxAYGMjWrVs5c+aMFAWJ6zhz5gybNm2ie/fuqnWuWDu7ubnxyiuvMHv2bDIyMjAYDOh0Ovbs2cO9994rqwVrVB7iHhmNRlJSUvjmm2/4448/SExMLPHcy5cvA/C///2PWrVqMX36dIKDg2nRooXKZ1SRuLu7Y2dnR05Ojkp4k5mZSV5eXpnEuaUhbF65roar3yEnJydZzEYLJFY9wmbFeCf2tqdPn2b37t23vJa7lkBXmbRuNBp57733qFevngxK3yrW84CLiwsuLi7MmDEDuCqwE8mW9vb2pYqVNHu881DOnX5+fowdO5aePXsSFRXFF198QVRUFCkpKdJ3KeZf8T0wGo2EhIRw5MgR/v33X/r06cODDz5IkyZN5DnE+rB+/fq0a9eO48ePq7r9WSwWdu3aRYcOHeReSaNmkJqayqpVq9i5cyfh4eFyDSZ8PcpOeUrfd35+Pjt27GDnzp1Mnz6dKVOmVMrYYu3XFISFhZGTk4ODg4M2xt2BCNs7duwY4eHh/PrrryQnJ1NUVCQFraIIxYMPPoidnR12dnaV6oN2dXWVeyaBjY0NV65cobCw8IbxzhuJw+3s7GjWrBnNmjUDYOLEiRgMBi5evCiFFNocX3kohbmPPvooqampcg0o5lY7Ozs8PT15+OGH6dy5s0zAVYq4U1NTOXnyJCEhIfz+++9y7/Tqq6/SrFmz27qnmjBX42YQHWuEXQif4UsvvcTRo0fZvHmzyr6hYjroiiJtw4YNo0GDBqxbt45ffvlFrknEukS5jj127BhHjx7lhx9+oKioCBsbG+zt7WWRboHyO1pUVISrqytffPEF9erVu+3PT6N0RGHn4cOHk5eXh62trRRGGI3Gchfo3qowV3RvbNu2LW+88Qbz5s1TCXSFr0cT6N4ZKIW548aNIzMzk8zMTGbOnMmSJUvw8/O7qTWkMmb+xRdfAKg6fhsMBi5fvszSpUuZNWuW7JZXFYg4VHJyMqD+zlR1LFajGOsO8GvWrOHYsWP8/vvvcg0pEH6gHj160K9fP7p27YqTk1OlxKvFfN+mTRuOHDmiunaAtLS0mz7m9YoYOTk5UadOHXx9fenWrZv8u7Z2rR4IX6N1kUCLxSLFWre7Pxfx6nXr1vHkk08SGhoqx1tlXPvff//FxsaGl19+mRYtWsjXi3OL/bPIB1Vea3kKc5Vo+SOVhxgPTpw4QXh4uMx9FPsJe3t7evToQb169Rg0aBC2trbY2tpWqv/Izc2thDDcYDCQmJgo80mux/X8RzqdDkdHR1q0aCHtf9KkSRgMBsLDw6VPSRs7K5fSCm4kJycTFhaGs7Mzjo6OeHt706ZNGznmVHbumYeHB56enkRHR8vHREHEjIyMa77uenN3rVq1ZAHCoKAgAAoLCzEajURERBAVFUViYiLJycnMmjUL0GxTQ6OmoSmxNDQ0NMoZsZA6c+YMiYmJqqCGyWSiQ4cOAKqNd2UKdO3t7Vm0aJHctGjC3LsPsVj/9ttvZXUd4cgsKCgAICQkhJSUFJydnaX9jho1irNnz/Ldd9+VqMgrjgGohIfK7hPC1p577jl69OhBmzZtAErYuzUtWrSQVYiUCAeBRs1k3LhxREREsGfPHtnBxlqgazabeeutt4iLi2P8+PEkJyfLJI3k5GTmz5+PnZ0dI0eOVIlfb1aga7FYGDx4cKkCXYAGDRrwzDPP0KxZM9asWUN4eLh0RIqxXDiJlHYsrkUZoBTPq1OnDg899JAMgmpjceUgxpuoqCjGjh1LWloanp6e6HQ6WrVqRaNGjWjQoAEdOnTA3t5edjC7XmU2pVAGrlZOg+LKqMJGrueYKW9uVqC7dOlS4Ooaw9HRsdKuU6N0RBBYdBa1TqwRVVSrygEn7Kd///6cOnWKZcuWlQjQ5OTkcPDgQfr06aMFVu5ixL3v0KED3t7eJCcnS/sRHeWV3cduV6CrdMYfP36c4OBg1Xh4MygDjy+88ALp6ekcP35cVsSsX78+48aNY+TIkdp6tApR3vO4uDhVJfSyMGTIEH755Rf27Nkj12sWi4V9+/Zx5MgRhg4dKs8h7OHw4cPk5eXJbiIAI0aMYObMmUDZxmZhX/b29owePZo6deqwYsUKzpw5o+o8YTKZ2LFjB2vWrGHixImq9yZsulWrVrRr1449e/bItef58+fZv3+/Js6tZMS9y8jI4Pfff+fHH38kJCREJdix3jvDVdFgZmYm7733Hp06dWLw4MGMGzfulsevsmIymbC3t8fLy0uKcy0WCyaTicTERM6ePUv37t3L5VzK96v8fmiBxOrDkCFD+P777ykqKsJoNJKXl8fRo0dvay0nBLo6nY5PP/1U1UFX+fPLL7/MkiVL6NKlS7m8l9IKLJW2xxF/t07u07izsLaHwMBAAgMD6dixI4cOHeKPP/7gf//7H4WFhSpfp9iDiX9nz57l3LlzrF69mqeeeorg4GC6d++uGqNnzpzJwYMHOXfunFw7mM1mduzYwZQpU3B1ddUKF9UQEhISmDt3LocOHSIzM1OOEcoilMrCE+JnUWjFbDaTl5fHxx9/TEZGBi+//DJQsXv4oKAgHBwcpLhMJCYnJCRQUFCAk5NThZxXo+ooKioiNTWVL7/8kr/++osrV67IvynFhWFhYZjNZn744QdatmzJ9OnT8fLyqrTrDAgIwNPTk/T0dFnoShQxvHjxouyCeyuU5ksX3zGRWKx14qk8xBh3+fJlpkyZQmpqqhQlCp9mnTp1mDBhAvfccw/t2rVTvRaQxX+9vb3p378//fv3Z9q0aWzYsAGTySQ70d/qPRVxoZiYGCZOnKgJczWuiVizRUdHk5WVJed6sR7w9vaWxay///57VWwTyl+gK9YbNjY2dOjQgdatWxMQEMCqVasoKipSFUAS6xXxT7wXk8kkO6srffnKsTkwMJCvvvpK6xJZwZjNZvbs2SOLUSsLvZW3QPdawlzl2FeaMFeMl3DV7tu0aVNCoKv0l2oC3ZqNMnY+fvx4UlJSpCDn1KlTPPfcc7ck0AXo0aMHTz75JCtWrJD7JbFfsVgs/Pvvv/zxxx8MGzbslosE3g5ifP/111+5ePGiHCN1Oh21a9dm1KhR8nnaXr7qEDaam5vLsWPHWLt2LX///bf8u62trZzzRLGJuLg4tmzZwp9//kmDBg149913ady48Q3FXeWFEJwLe1IWZIXbF2QqYw5Q0ka1tWv1IS8vj7y8PFUDFECKc28Xsc5zcXFh1apVPPvssxw6dEg13opY0969e7GxseHVV1+lYcOGquN07NiRLl26cOjQIUwmk5wHKkqYq1HxCHsrKioiLS2NL7/8kp07d6qKCSv3MKdPn8ZsNrN161ZatWrF9OnTr1kMsCIIDAzEw8ODjIwM1R7lwoULRERESAHtrVDaWCkKXovjav6jysM6Jrd27VpCQ0P55ZdfMBgM5Ofny+fWqlWLevXqERwczEMPPUT79u3lPaxoX42Yq+vUqQMUF86Cq37Zw4cP07Vr1zJfx/XmboPBgJ2dHa1bt6Z169aq12k+KQ2Nmof2jdXQ0NAoZ8Si6cSJEzKpTWwYDAYDzZs3l89TVuR//PHHGTt2LA0aNADUwUidTicFunv27KGwsPC2rlE4nESwRuPuY+fOndJ5olz0iwBKcnIyn3/+OUVFRdIpaGdnx7hx43jggQeA4oppArEBAfWGxGQy4e/vz4MPPsiaNWt4+umnpTC3rJtb0c1RuTkTjlWNmofZbMbX15e33nqLe+65B3t7e5W9CJvcsmULb7zxBo888ogU5orq1HB1LOvQoUMJG1Imxg0YMIAnn3ySdu3aScekGHuFQHfZsmX8+uuv161U6eXlxYgRI/jqq6+49957cXZ2lu/FxsZGBiJLS9JTCtfhqgDypZdekkFQ5XvWqDisg4tpaWnY2dmRlpbGlStX2LNnDytXruSdd95h5MiRDBs2jMcee4wXX3yR5cuXs3fvXk6cOEFBQQGFhYUqQTggx6NWrVrh4OCAjY2NSqB96tQpjEajqnJrRSKc7ACzZ89m/PjxqnFa/GxjY0N4eDjvvvsuFy5cqJRr07gxaWlpMjFCOT66uroSHBwMVF1gTdkh6LnnnqNnz54lChEAbN26lfPnz1fJNWpUH4RT2cHBQe57LBYLoaGhREREAOqiRU888QSPPPII9evXB0ruiYRAd9++fXJPJOxPjMdr1qxh7NixfPjhh4B6PLwZlEm9kydPpkWLFpjNZpUwV3R/1Kh8lPf8vffeY/bs2TKxoazo9Xratm0LIAPjNjY2mM1m3nnnHU6fPi3PIezh77//lvO5Xq8nICCABx988Jpdcq93btH5ZMCAATz00EOyy7QyYK7T6fj777+luN2aunXrMmbMGKC4owvAF198weHDh2/q89C4dYQ9JCUl8dFHH7F06VIpzBX7BOEbEvdXJKGJZAaLxcKRI0eYP38+ixYtAm59/CoLBoMBd3d32QFSXJuw5Vup4q9R8xBjnJubm0zEEHvT1atXc+zYsds6vqurK4888ojsLC6OL/bmBoOB9PR05syZw8mTJ2/rXNbcKGlS/F1Lrrw7UN5ns9mMg4MDffr0Ye7cuXz++edMmzYNFxcXmfijfI1YcxgMBnJzc/nss8948cUXeffddzl79qxMqjcYDPTt21f6VsW6IjY2lv/+978qYadG9SU2NpZp06bx559/SmGudYEUMVeKKvnCPpT7YjGWfvPNN/zf//0fULzvqQjq1KmDnZ2d9E0pbVZ0gNK4c8jIyGDr1q288MILbNy4Ud5jYZti/agsdnXixAk2btzImDFj+O2332TBrIrGz88PLy8vuRYW12lnZ0dWVla5n896nNXG3cpBxPmSkpJ4+eWXiY2NVa0tjUYjnp6efPrpp0yePFkKc5WCRyh5v0wmE7Vr12by5MlMmjSpRAL5zaLX60lNTWXw4MEkJCRgb2+vCXM1SkXYYlJSkhS8Aqp5FmDevHmMGjVKilzF3l7EDYVAV3SuVXaCutVrgqsJyi+99BLz58+nX79+2NnZqWL2ykIxSl+EsuA2FPsB3N3d6du3L8uXL9eEuZWAXq+nf//+vPbaa7i6usq4t1KgC7B+/XoWLFhwy3lB1+uYW1RUdF1hrvW4pxTotm/fXq5pxfpW+JOEQPfYsWMV5s/SKH/0ej1xcXGMGTOG5ORkOaaI+V0IdOPj42/KVynm+fvuu0/myCn92zqdjri4ODZs2MCJEydK9X1XNGK/J+IKwv6Fz8rPz08+T6NqEPckJSWFZcuWsWDBAv7++2+559Xr9RQVFUkRoWgkIebErKwsjh8/zpQpU9i4cSMJCQmVct1t2rSR/gMxB8PVroBQeke920Gz0epLfn4+eXl5cu4VtpCTkwOUjy2IYkhOTk58+eWX9OzZU8bkobhIEVyNcS5ZskSeX1xPs2bNeOyxx2TBVlEARhPm1kzE/c/IyOD777/nhRdeYMOGDSQlJQHFfkvlmk7Yy9GjR1m7di2PPPIIO3furLRYYUBAAO7u7qr9i8FgwNbWluzs7HI5h3WzlWv9TaPiELaZm5vLv//+y/Tp05k7dy4///yz1FmI+VPEEcPDw/nuu+8YP3487777rizQIdZsFYUYN9u3bw8U5yKL740Qut+qz6i0ouylofmkNDRqHtq3VkNDQ6OcEQuwkydPyiq/YhMTGBiIv79/CRFjVQh0xbk17i6ETe3Zs0cGe8RGRTjT7ezs8PX1pW3btiU2Ma1atWLq1KmMGzcOQBW4FvYuNkdwNRGzT58+LFmyhLfeeov27duXcLpfD9FxV1RFUopzW7VqpRItadQcxLjn7e0tBbq1atUqVaC7fft20tLSZOBaiLI9PT3ZtGkTjRs3LjWx7UYCXRGcVnbQ/fXXX0lPT7/mddva2hIQEMCXX37JW2+9xejRo+W5RPBR/A/I4LfZbMbFxQV/f3/effddZs+eLUUUSkeoRsWhFOY++uijJCcnywC0sAcxV4tOOXl5eRw6dIhff/2Vjz76iKeeeorHHnuM0aNHM2HCBBYuXMjGjRs5cuQIOTk5MrGiUaNGBAQEyN+FfaampqLX6yt17r2RQFdZSKFLly4EBQVV2rVpXB8hWrROlrGzs6tQoU5ZUXYPHzhwIA4ODqpq+3q9npycHFJSUqr0OjWqHovFgrOzs+yGJ/Y1RUVFqjn3dgS6yoT5tWvX8sEHHwCwYsUKGTAUAfBbwdbWll69ejFu3Dh69uzJqFGjNGFuFaNMLnv77bfZsGEDR48eld1nlc+7Hnq9nmeeeYYWLVqo9kY2Njbk5uayZMkSYmNj5bGMRiMJCQlyz2M2m2nQoMEtd3sU61U7OzseeeQR7rnnHqA4ACPWlYcOHeLChQsl9k7i/fXv3192nhaPOTo6VmpHrLsZMXbFxcUxa9Ystm3bRkJCghybrLtAWQu5lQWEAAoLC/nmm2+YO3cuUNxpubwRwW1RdEhcizIAD1T5mkOjcmjYsCH9+/cH1ImIx48fB27PDkQHXaVAVznOAVy6dIl58+Zx6tSpW38TGhplRIy3wv569erFjBkz+O6775g+fbpMSBf/lGI3MSanp6ezceNGXnnlFd566y2ioqJwcHBg1KhRODs7l/C5njp1itzcXODG6xONqiMmJobJkydz5swZ6SMS+xRxL3U6Ha6urjg5OVGnTh0p6LbueqNMWPzyyy/59ttvgYqJxxiNRhwcHPD391edw2QykZWVddMFbDSqN0lJSSxYsIAvv/ySY8eOqXyawk7FfknYrljj2djYEB8fz9tvv8369euJioqq0GsV1yPWm8pkz/z8fLnerKxChhoVh06nIzs7m+XLl3PmzBlVIZaioiK8vLxYuXIlPXr0wNHRUfW666EshmBvb18u1+ro6Mi9994LILuIasJcDWvEuBQZGQkUd1WysbHBxcWFevXqyTyNuXPnqgS6Yr1YEQJd6+sbPHgwb775Jp9++ikNGzbE2dlZ5TMTOSrKf0JALP516tSJ6dOn88EHH1CvXr3bvjaNsuHj48ODDz7IU089haurq/QLlZdA93rCXGGDZRXmCoRA9/XXX9cEuncgQuSg0+lkzAWKC3DcikBXHKNjx4706NEDKF4PChsVwtilS5cSExNTQe/u+uzdu5fVq1fL6xPvbeLEibddGETj9hBjUkJCAu+88w7r168nPDxc7oGsC6wp84NEDqaYj0VzitWrV1f4PgiuFv63nvdtbGxIT08vN5GZRs3A3t4eJycnuZ4U/8fHxwPlF38ROU5OTk589tln9O7dWzWvK32cv/76q6rAtShA079/f5VAd8CAAZowtwaiLCa8cOFCvvzyS44ePVqimLB4rvjf2n8UHR3N7Nmz2bRpU4XP0aLAgsi9UPqP8vLyNP/RHYKwzdTUVL7++mvmzZvHX3/9pSqULgqkK33uwibhapOfuXPn8tVXXwEVW+Ra4OnpKa8fitccsbGxqhxhDQ0NDYG2YtLQ0NAoZ/R6PZcvX2bv3r0qoZbFYqF9+/ZywWb9GrEAffzxxwHYuHEjkZGR8nGxEBUCXbjafdHOzq7y3pxGjUev15Oens5vv/2mSgAWIjV3d3defvll2rZtS7NmzUo9RosWLXjnnXdo27YtP/74I+fOnSMzMxO4Wj2tVq1auLq6MnToULp160avXr1Ur7+ZalMGg4GwsDDZQUUkxQPSGa5Vr6qZWAt0AXbv3k1BQYFKQAuogtqiyvry5ctp1qzZdQOFyuDOgAEDgKtCnRMnTsjXWXfQhasBbVdX11KPKa5j2LBhDBs2jKFDhxIVFcWOHTvIzs4mJiZGOvltbGxo1qwZHh4ejBgxAl9fX1Vwu6ydozVuD/E5R0dHM2HCBFJSUmQXZqWTRDhslAmXwoaEQ6ewsJDw8HDZCVcUJ/D09MTDw4PevXvj4eFB3bp1uXjxoqob05UrV8jMzJS2pQy2KwPl5Y24doPBwOzZswFYt26d7AxoNpsZPnw4CxcuBLSko+qCSLawtgs3Nzdq165dLRx84truu+8+li9fTlRUlEq0azQa+eWXX+jWrZs23t3FiPsuKoyLeddoNHL8+HGZyCMSxJQCXZ1Ox8aNG4mKiiqxJxICXbPZLPdEa9askcJce3t78vPzWbZsGdnZ2cyePfu2xlkHBweGDh1KUFAQgYGBKjGbRuWinDNnz57Nd999h8FgIC8vj7/++guLxcLkyZNp1apVmQoB2dnZ8cwzz/D++++TlpamSmo/fvw4GzZsYPLkybi7u5OUlERkZKSqauvgwYOxtbW95flTJIiIricHDx7k4sWLMplTJHB89913dOzYUVaDF68V3HvvvRw8eJCzZ89Sp04d1q1bJ4t+aVQc4r7HxMTwzDPPcOnSJaB4HSnmQ7HeUybjCD+RSJpQdhIzmUysXbuWOnXqMHPmTDm/lud6URyrbdu2/PTTTzKhSdi/SFLSCgndPTRt2hQo3j8VFhayfv16Ro4ciYuLy20dWwh0ARYvXiyTecS+32QyERoayrx583jjjTdkV3MNjdJQ+nOUc69ynLQWSpaG8rVms5n69eszbdo0nn76ab799luOHTvG33//LcduMTcrk0AvXrzIxYsX2b9/PyNHjuThhx9m7ty5vPTSS1Kga7FYOHjwID/99BMTJkzQ/JjVlKioKCZMmMCVK1fk+CT2LXZ2dri5uTFy5Eg6d+5M27Ztyc/PR6/Xs2/fPk6dOsWaNWtU3UqhOHHRaDTy3//+l+bNm8sEx/JE6YM8e/asjEeJc1+vEKFGzeLy5cu89tprnDhxQlWoyjo5rLR1o7KrY0ZGBitXriQrK4uJEydSt27dCrle8V3o0KEDhw8fViXZAVy5ckX1PI2aiZiPDx48yO7du6VtKmM5K1asoGnTptXC72xvb8/ChQtxcnLihx9+ANCEuRolEGu9kJAQoDgJ12g0Uq9ePQICAoDiNacorrVlyxY51gq7Ugp016xZI2NTtyNuUPoI/Pz88PPzo23btpw8eZLt27dz+vRp6U+1TmAXQveBAwfSvHlznnzyyUovKqtxFU9PT4YPHw7AN998Q3p6ulyHKu1o/fr1ALz22mtlygu6njBXmdx+M8JcgVKgO3/+fI4dO1bCr68U6IpOu5pvqfozduxYioqK2LBhgyoeI/LdlALdJUuW4OfnV6Z9t3jtf/7zH0JDQzl8+LD0bytt9eDBg8ydO5e5c+fi7e1dGW8ZuFr4Zvv27arYk06nw9PTk3bt2lXadWiURNhObGwszz33nCw6pSwuCcVztvCti3sp5j9lnlFGRgabN2+mVq1aPProoxVW3FQUxHR1dSUxMVHau9FoJC4ujnPnztGpU6cKObdG9cPHx4f69etz9uxZoLgo7759+0hNTcXd3b3cziViS46OjixevJjp06dz4MCBEsVjjEYjmzZtwtXVlRdffFG1Pr333nvJz8+nc+fOTJs2DdCEuTUJMXberP/IOvdIrEVTUlJYsWIFmZmZTJgwQRYGLG/E2N2+fXspJFbuZURDAG3PUnNRFtz44IMPOHjwIJmZmapYizJHGNQ5vyI3w2QycfnyZRYvXkxaWhqvv/66KieyPBHnbt68Oba2tkBxEyuLxUJ4eDhXrlzBx8enXM+roaFR89FWTRoaGhoVQHR0NK6uruTn52M2m2Xlyfbt2wOlB/U0ga5GZZGXl0dBQQF2dnYUFRWpOpGuXLlSJmQC100Afvjhh7n33nvJzs4mLCyMjIwMHB0dadiwIU5OTgQGBsrn3uomKDs7mx9//JGCggJV0Kh+/fp07dr15t+8RrVCKdB98803MZvN7Nu3j/z8/BKJRMJh7e7uzooVK2jWrFmZ7OpmBLqJiYk3FOhan69Lly506dKF4cOHo9frSUxMlElxRqOx1E24shqsRsWj0+lITExkyJAhsuqjskq5spuitUNSJN6KRAplYE5ZPTchIYGEhAROnz4t/650YJrNZuLi4vj7779p2LAhLVq0QKfTUatWLdVxlTZdngIMa4GuTqdj7dq1AAwbNkwT5lYjxH0X96G0yr/V6R6ZzWY8PDwYN24cH330kXxMfDdiYmK08e4uR9i0GPeU1SvPnz8PqAMp1nsii8XCpk2brinQ/frrr3FyciIsLIwFCxYAxUVnxB6svKpgOzo60rJly3I5lsatUZowV4wxQqC7a9cu0tPTeeutt25Y2V7Mue3ataNz58788ccfKhvMyMhg+/btNGjQgOHDh6vWDGJete5QdiuIsd7Z2ZmXX36ZV199lezsbJVQODo6+rpzQNeuXWnUqBFnz55l3bp1NGnS5JavR6NsCDuJjo7miSeeIC4uroSYR6wru3btipeXF61btyYjI4OIiAjOnz/PpUuXVCJFcVylQLdu3bqMGDGiwuZSHx8fmaQksLGxISkpqUKCmRrVDzG2Dh8+nO+++46IiAiZqBMTE8PGjRt58sknbzsB50YCXaPRyKlTpzSBrsY1URZ0gav7+tTUVPR6PXl5eZhMJnx9fXF0dCwxdt1or6v8m52dHU8//TT5+fns3buXLVu2cPr0aZKTk+U6QbnHMRgMpKens2rVKrZs2ULXrl3x9vYmPj5eJZD87bffuP/++7VkjWpIVFQUjz76KCkpKSXmchcXF8aMGcP999+vSs52dHREr9fL4n2dOnXi66+/JiwsTAqzobgAXHp6Ort376ZTp06qYivlgRjH3dzcgGIfk1i3hoSE8Pjjj6u6pGjUPJTFYMQYpCwGIxD3XfwvxiBlF2iDwUBOTg5bt27F09OTsWPHyu4k5YmwRSGwUArYTSYTMTExch1QnXxdGmVHWYzvu+++IzIyUiXMdXV15eOPP642wlyBg4MDb7/9Nnq9nq1btwLw6quv8uSTTwKaj1zjKgUFBbKIGyDt2t/fn6KiIilCrCqBrtJHYLFY8Pb2pn///vTv35/ExEQiIyOJj4/nwoUL2NjYYGtri42NDcHBwXh4eKj8RtWhEOjdyvUEuspCL2UV6FZEx1xrNIHunYfYJ0ycOBGTycTmzZtV8Rgo2UG3rAJdsVa1sbHhnXfe4cUXXyQ8PLxEJ0ez2cyePXt45513+OCDD8pVrHY9Dhw4wM6dO1XXYbFY6Nu3b4kGBBqVh7Ig5uTJk4mOjlYVh7bukOfl5YWtrS0ZGRkYjUYKCgrk35SiRIPBQHZ2NuvXrycgIIBRo0ZVyLpPp9MREBBAvXr1SExMlCIesW7QCmjdPYgxxcXFRWUDNjY2ZGZmcvz4cfr161eucRhxDicnJ5YuXcrTTz9NSEhIqeuL5cuXU7duXUaPHq3yhw0aNEgeTxPm1hzKWkxYUFb/UWZmJlu3bsXLy4vRo0dXSAFzsX4VRRNEbFWM+SJ3XjymUbO4mYIbojCMaDZi3dRHKTRftWoVNjY2zJo1S8735Wkf4tx169bF0dGRjIwMVYMXs9lMfn5+uZ1PQ0PjzkFbOWloaGhUAN27d2fkyJFs2bKF+Ph4KXzs06cPcO2NgibQ1agIrDcf2dnZ5Obmyg2L0WikTp06fPHFFyWC5NdKABbBHVdXV9zc3FRC3NKed7OOJPG6sLAw/v77b9X7MJlMNGvWTNWBVKPmIsY9Hx8fFi9ezDPPPMM///wDqIW1cNUuOnXqhJ+f300llJW3QNcai8Uix2A/Pz9VQEn5HKWwU6NyqVWrFq+++ioGg4F//vmHhIQEUlJSiI+PR6/XS9Gu0vGodIIrq6sKlJ12hTNTec+Vvwsn+Ouvv46trS3e3t44ODhIe27VqhWNGzfG1tZWOhyt7USZAHwrwl1loshbb71FZmYmZrOZDz/8UB5fc2RWPcpkHyi2PfF4fn6+dIpXh/slrqFhw4aqrtPib2fPnuXKlSt4enpqY99dirjvzZo1w8XFhYyMDGk3SUlJNyxa9MQTTwBcV6D71ltvcfnyZeDq+C0C3UVFRQwZMoRFixYB5Vv0QKPyuZYwVyRH6vV6bG1tycnJobCw8Kb2Cv7+/jz22GPs3buXvLw8uQ7Q6/XEx8ezYsUK3NzcaNy4MU5OThQVFWE2m7G3t8fJyanE9d0KYtxv2LAhLi4uUpwrEk7CwsI4c+YMQUFBJV4rvhcLFizgxRdfrLDOVxrFiM/8emIeR0dHunfvzpAhQxg8eHCJY0RGRnL48GHmzZtHXl4eUDxmivk/MzOTv//+m169elVYJX+xLi0qKpJzudFo5OLFi0RERGhC77sAYXdOTk74+fkREREh7Rjgn3/+YfTo0bi5ud32nkEIdHU6HZ9++qkm0NW4Icr5Va/Xk5SUxJEjR9i/fz/nz5+XSb15eXlYLBZ8fX1xd3cnODiYHj16EBQUhLe3d4muPNdC+Tx7e3vuv/9+OnbsSGJiIp999hkXL14kKipK1U1XrBmMRiMZGRn8/vvvquOIsfXEiRNcunRJFkXQ1qXVA+VcLoQyYgx0d3dnzpw5dOnSRQoXrUXi4veBAwfi5ubGl19+yaFDh1R+JGEfP/zwA48++mi5+7SFLQUHB6uS7cQ1JCQk3JJ/XqP6oCwGI5K/rIvB9OrVC3d3dxo2bIhOpyMyMpITJ04QHR0NqAvAKBPTly9fTvPmzbnnnnvKvTCLssMEFCd6imsODw8nIyOj0sQXGuWPGH9WrVrFrl27VGOQg4MDTz31FB07dgSqXwKtg4MDb775JllZWTRr1kwT5mqU4PDhw6qkYTF29evXT3bNAXXcZe7cueh0Or777jspvBDjbkUIdAVKX4Jer8fHx6fMBWG0dWnVU14C3RsJc6075q5Zs4a2bdve0rh3PYGuiKNqAt2agzJPQsRjrAW6IuZyKwJdMc7Vr1+fqVOnsmjRIuLi4lQFjcQa9++//+b1119n9uzZFebjFu8pNDSUjz76iIyMDPmds1gstG3blmeffRbQxsiqQFkQc/z48Vy5cqWE393Ozk76GNu3by+LDKSmppKSksKqVas4e/Ys0dHRKvsS83FGRgZLliyhe/fuBAQElPt9Ft8XR0dH1ePiHCEhIfTv318rjHkXIPZHDz30EIcOHZK5PiaTiYyMDH7++Wf69esnCwOXd+F+Jycnli1bxvjx4wkLC5PfJeGLN5lMfP/99zRs2FAWk7O+Dk2YWzMorZjwtfxHPXr0wM3NTRa4joyM5OTJkzLXojT/UUZGhvQf9ejRo8L8R6JIulizKv1HWVlZ1KlTp9zOqVE53EzBDb1eT+3atcnPz8fR0ZHk5GT5N2WRa2Wxg5UrV+Lp6cmkSZMqxJcjYgUiz0m5905NTeXUqVPUr1+/3M+roaFRs9FWTxoaGhrljFhUTp8+HRsbGzZv3szly5fp2rUrHh4eZarUrwl0NcoLsSGOj4/nn3/+4YEHHsDDwwM7OztVxasBAwbQvHnzMgdgyioyvBXnkbiGlJQUPvroIyIjI+Wm3mQy4efnx4wZM2QwVAuU13zEfczMzOTs2bPS8WL9P8Dvv/+Oi4sL06ZNk53KysKNBLpKx9TNCnStK3mV9rMWuKlaXF1dmThxIgCPPvooACkpKVy6dInU1FQOHz5MWloaly5d4vLlyxQUFGA0Gkt0EBOBcFHlUpmUIR4TKO3W2oEZFxeHxWLhwoUL8vmOjo7Url2btm3b4uLiQnBwMIGBgbi7u0tRhHXhhJvttKtMFBGiXHF92lhavRBdla2rAcbFxREfH1/thFddunShVatWnDt3TgYdLRYLmZmZZGRkVJigSKNmIIpYCKe1eCw0NJTY2NhSk9PLItAVz4mLiwPUwlyz2cygQYOkMFer7FuzuZ4wVwhiRLGN4OBgli9fftMVUjt16sTbb7/N66+/rprv9Xo9ERERfP7550ydOlVVWVgZGCyvtV7Dhg0ZOHAgK1euVL3/wsJC+f2xRgSvbG1tq938cCdSmjDXWszj6urKCy+8QPfu3VVBObFeNBgM1K9fnwYNGhAYGMjChQsJCwtTVaoWY9zvv//OoEGDVNXKy5PGjRvj4eHB5cuXVQmUtra2ZGVlVcg5NaofFosFe3t7Hn30UQ4dOqTyFx04cIBvv/2WF198sVz2DK6urjzyyCMAmkBX47oo5/ELFy5w4sQJPvvsM9LS0lRdUGxsbOT4m5ycTEJCAmfOnGH9+vUEBwfToUMHnn32WdlR90Z7Z+u/ubu74+7uzpIlSwgPD2fHjh38+OOPpKWlUVhYqCrqodwLWSeyFRYWsnTpUlq3bo2Li0s5f1oat8L15nJPT08+//xzgoODVa8prbCQuN9dunShoKCAM2fOyARvkfwmEoB///13pkyZUiF+GDc3NywWi6oLho2NDfHx8aSmpmoCyBpKVFQU48ePJzk5udRiMD179mTQoEGlFoPJzs5m8+bN/P333xw+fFi+VikUS09PZ968eQQFBZWpSOXNIMbB+vXr4+zsTE5Ojmq9WVhYqHWYuANISUnh33//lYnn4r63adOGXr16qUSM1Q1HR0c++eQT6S/SfOR3BrcrbBCvj4iIkDYtfI06nU52A1eijLvMmTMHQAp0lYWPKlKgC6WL4K0LIFt/NlrssnpwPYGushPztQS61xPmijinUpi7evXqWxbmCq4l0FXmb2gC3erF9e53RQt04WrX5p49exIREcH69etJTU0tUfTIbDaze/duCgsLmT59Om3btqVWrVrlKlrT6/VcvHiRmTNnqoSfFosFDw8Phg0bhqenJ6CNkZVNWQpiuri4MG7cOPr160e7du3ka00mE7Vr16Z+/fq0bduWvXv3smnTJnbv3q3aB4kxNSkpiTlz5vDpp5/i4OBQ7u9FjJG7d++W8RsxHsfGxgJo4+FdgBhDAgICVB2c4aq979ixg82bNzNmzJhyH2/Ed8bZ2Znly5fz2GOPcenSJZUf3mw2c/LkSX777TdatWqFo6OjNu7VQJRj5/X8Rz169GDw4MGl+o8yMjLkmBkSElJqYYPk5GTmz5/Phg0byr17rrC7evXq4eDgQH5+vqqpQX5+Pvn5+Zo4t4ZxMwU3RowYQYcOHWjTpg1FRUXodDp27drF2bNn2bhxoyw2pDy2GMe2bt1K27Zt6dSpU7m/BxsbG5ydnWnbti0xMTFAcQzfYrGQnp5e7ufU0NCo+WiZiRoaGhrljDKR/JlnnsFkMrF69Wr69OlTZueKJtDVKA/EZiY6OpqRI0dSq1YtjEYjI0aMoF27dhw+fFgmQwQFBUkhUEVTFoF6ZmYmL7zwAsePH5eJc2azGQcHBwYNGiRFmVqgvOYjHDliM56amqpyCCoRwcctW7ag1+uZOnXqbQl0LRYLK1eu5MSJEzKR8nY66GrUDESyg4eHBx4eHgAMHDgQuNqdLDs7m+TkZI4dO0ZqaipHjhwhKSmJ9PR0srKypANSiTIZF9Qddq275QhRhjJIbTAYyM3NJTc3l8TERAC+//57dDodtWvXJiAgAAcHBzp37oyfnx/NmjWjSZMm6PV66fi0TrAQ12D9PbJORhbXolG9aNCggRSbKZMndDod6enpBAYGVquKzQ4ODjg5OanExLa2tpjNZk3YoyET14TTWlnNUnSLLI0bCXStC3gog4nKjrmaMLdmU5aOuUIwGxwczOrVq2UhorLed3GO4cOHExkZybJly6Q4Q8yT586d49NPPyU7OxtQdzQv7/cq1ici4UmsgXNycq75Wi2Ro3IoizDXw8ODjz/+mK5du6rWhiJZ3Zpu3boxe/ZsXn31VWJjY+X9Vt77TZs2cc8995R7coRYh9ra2pZYV+Tl5RESEkL79u21JPW7AHHvGzduTMOGDWU3UmW3xy5dutCzZ89yOZ8Q6FosFhYvXqwJdDVKoBx3fvvtNzZs2MCJEydkh3sxpprNZplEK/bdynXCiRMnOH78OIcPH+ahhx6if//++Pj43PS4JnxXLVu2pGXLltx3332EhYXxxRdfkJ6eLgUXogOGtc9AvP706dOEh4fLLoIaVceNhLkrV66kadOmZTqWcl/Su3dvnn32WRYsWCCThiwWi9zXiw58FTGvenp64ubmRkZGhlxHCtH6pUuXNHFuDeR6durm5sbzzz9Pz549CQwMBJAxFLHfdnZ25rHHHqNDhw58++237Nixo9TE9KioKLZu3crkyZPL3dckzufo6Eh2drZMXjObzaSkpHDq1Kmb8u9rVD/OnTvH7t27pS9azInDhw+XXZOrM8JvoPnI7wyUY9iRI0do0qTJTcf2dDodubm5bNy4EbPZLMdfgA4dOtCtW7dSX3c9ga7Y20PFC3RLez+l/axR/bjVDrrKvY1SmGtra0tRUZHqZyHMFV0mb3fcu14H3dIEurNmzaJbt26aLVYByuL4OTk51y2YajAYmDRpEjqdrkTBVGuB7syZM1myZAn+/v5lEui6uroyatQo2TEyIyNDtT4U1/Dvv/+SmZnJ6NGjGTBgAO7u7uXmnzx58iTPP/888fHxKl+UxWIhODiYwYMHazl3VUBZ/O7u7u7MnTuXTp06yaJnyrFG/G5ra0vfvn2pW7cu9vb2/Pbbb6qiauLniIgIEhMTadCgQbnug5SCTED6A4QvKzExUYtb3mV07tyZ4cOH89NPP6kK/losFnbu3EnHjh1p3LhxuZ9XjHGenp4sXLiQF198kdjYWFXjCpPJxPr16+nduzf33HNPtco/0bgxZRk73dzceO655+jVq9c1/Ud16tRh0qRJdOzYkW+//ZY//vhDJdAVe5oLFy6wZcsWnnjiiQrxH9nY2ODk5EReXp5qfZCcnExoaCg+Pj7ldj6NiqWsBTdGjhzJ/fffT4cOHUocQxT57dOnD3PmzCEhIUGVjybG0UuXLnHgwAE6depUYWOYm5sbUJwLKtasp0+fBijTOlhDQ+PuQfMwa2hoaFQAYgEGMG3aND744AMeeOABQC3YKcsxdDodjz/+OGPHjqVBgwYAqs26TqeTAt09e/ZQWFhY/m9Io8YhFv0xMTGMHz+erKwskpOT+fbbb2XQBoqTuEUCRFnt82bJzs7m+PHjQHHykXDeK89bWFjIuXPnmDp1KocPH1YlxMPVTlLDhg0r9ypcGlWHXq8nKSmJBx54gCtXrkgRubj3SoQzBq5Wa/3qq69kt7yyohQtDhw4kEmTJtGuXTtVJV9rge727du1ald3EKUFOsS86uzsjL+/P0FBQTz++OO8+OKLrFq1iu3bt7Nlyxb+7//+jzfffJMBAwbQtWtX/Pz8SnRqVHbVBbXNKX8WwR/xvwjICNGuOG52djZnz57l6NGjLFu2jHfffZcJEybwwAMPMGrUKN544w0+/vhj/vjjD86dOyerrYo1QmloCRnVHx8fHykuU9pMQUEBW7duBarPvRNBRT8/P0AtFDeZTJo4V0PasEiGE2NhdnY2Bw4cUD3HGmUiz8SJE3nkkUdo2LDhNc9jNpvp2LGjFOYWFRVpAe4aTGUIc6F43NLr9QwbNkx2KFUWixEBpNzcXAwGA3q9nsLCQvbv319q4Y5bQZxLCEGUnQMAcnNzb/scGrdOWYLcnp6eLF++nO7du6uSxUqbs5WPdejQgTfeeANA2ray811kZCS5ubnlPvfrdDrs7e1p27atXIuKsRQgOTkZ0Ipi3U00bNiQAQMGAFdtUazzUlJS2Ldvn2pteru4uroyduxYXnjhBXk+4aOyFuieOnWqXM6pUTNQJtyuW7eON998k4MHD5KXlycThqDYryj2vso9sJjDxdh26tQpPv/8c2bPns2FCxdUvvuyYD0nBwUFMXr0aDZu3Mjrr79O7969VX4BISBW7vONRiN+fn6a2LwaUFZh7s3YiFKU3a9fPxo2bFhiLaDT6YiOjlbNteVJYGAgXl5e0i8FxZ2lU1JSgIrz/WuUPzey008//ZSxY8eqEivFXgmKi/PZ2NgQHBzMzJkzuffeewH1Pkf4Jo8ePQqUv6/JYDDg7u5O69atVY+L74ewTY2ah9lspqCggJ9++knamhjbevTowbBhw4DqM+6UNu4qr626+Fk1bh2lD2nWrFlMmTKFP/74g8zMzJs+lqOjI127dgWu+hZFB+i6devKc5WGcq06Z84cRo8eLX3kIt4j1opCoCt8l2L/r3F3IwS6Tz31FK6urnL+F3tk4e9cv349CxYskMIFKNkxV3ScqihhrkAp0BUF3sTj4ntpY2PDmTNnOHjwoDbeVgHifkdGRjJ27Fjmz59PREREqc+1Lpj6yCOPUL9+fXkc68LPoaGhPPfcc8TFxanGwOvh6+vLY489xn333YeLi4vquMq9/OnTp/niiy94//33ZTdz5XsqC8rxOi4uju+//55p06aphLlCeNS8eXNee+01WThTo/Ioq9/9yy+/pF+/flKYCyX91uJ3vV5Ps2bNeOKJJwgODgbU9mA2m4mKimL79u1A+a4FxXn8/PzQ6/XSRyTWBOHh4bL7nsbdQ8eOHeWeXWlvu3btYufOnUDF7J2Ej6B169a89NJLeHp6qopdi7Fw3rx5xMTEaPN0DaKsY2dZ/Ue2trZ07NiR5557jt69ewOo5nXhPzp27BhQMf4jLy8vWrZsKR9T5gunpqaW6/k0Ko5r2aZSmOvu7s68efN49tlnpTBXub5Tjof33nsvH374oSwAp2zyJNZxK1as4MKFC+Vul+I62rRpI88Nxd+Nixcvqh7X0NDQAE2cq6GhoVFhKJN87rvvPlld72YWgZpAV+NWEcLcsWPHSsEjQEREBL/88ouslKpMFIOKcfYUFhby66+/Mnv2bN555x2SkpLIy8tTJc3pdDqioqJYt24ds2bN4ujRoyphrtFoxMHBgVmzZtGiRYtyv0aNqsXGxkZuZIuKiqSowt3dnW7dumFvby9ts6IFukpHpCbQvXtQBmpKw9bWlvr16zNw4EDGjx/PkiVLWLVqFevWrWPTpk189tlnTJkyhZEjR9K4cWPq1q2rCm5bJwor/1fao1LcK5IxlJ3WhO3r9XpSU1OJjIzk+++/57///S8zZ85kzJgxPProozzxxBPMmDGDlStX8vvvv3Pu3DmSkpIq7gPUKFfMZjOurq7SQa50LsJVgY4yIb2qEY5G0YVHOV4D2NvbV82FaVQ7unTpgo2NjWqsTUhIAK6/RxJrQVtbW5588skbVg82mUzs37+fnJwcmTynUfOoLGGuNY0bN2bUqFF06dIFoNTx1mQyyTH5/Pnz8lrKe0y2ru6qCc2rjrIGuVeuXEmLFi1uyRb69evH0KFDVY+JBMaEhAROnDgBlO/cL+zLz89PtdYQ43RUVJSqqJbGnY24/0OGDKFRo0bSPkRy5dq1awkJCVHtX24XTaCrYY1yH71y5UrmzJkju9Yru5EpxyyxhxaPKQW7ykJZaWlp7Nmzh8cee4yjR4/eUjK6dTKwj48PY8aM4ZtvvmHOnDmMGjUKQArZDQaDnCeCgoL44YcfsLOzK1PCskbFcDPC3Ju1EfH8evXqSb+QQNhoREQEmZmZFbJuhKtiIlD7m0wmE4cOHVI9T6N6cyM7/e9//1uic+ONisE0atSIhx56CG9v71KLyOzevZuTJ09W0DuCOnXqAOrCCgChoaEAmiitBiL2wGfPngXUou+6detKf0x1SO4W3dHy8vL4448/CAkJAarHtWmUD9Y+pG3btpGfn8/XX3/N77//TkZGxk0dC+C9995j5MiRwNU4t7OzM2PGjJHFVa+FtUB31KhRcj4WicOaQFfjepQm0BV2p4yRr1+/no8++giAn376SdUxV9igEOlWlDBXcC2BrrB5o9HI8OHD5d5fo/JQ+jQnTJhATEwMx44d44svvuDSpUulvqYyBLqBgYFMnTqVIUOGyK64ysKBYj+TlJTEjh07GDNmDKtXr5aCIGHDSt+9Mq6uzKUD2LlzJx9++CELFiwgOTm5ROc2T09PFi9eLOOyGpXHzfjd27Vrd9N72tatW8uCG8LnKPw1Op1OimoqwufevHlzXF1d5R5InNfGxoa8vLxyO59GzeDhhx+mdevWqrFKzOmLFi1i9+7d5ep3t0av19OtWzdGjBiBo6OjHCfFXikpKYl9+/bJxzSqN2UdO4X/6EbNG5SPNW7cmBEjRuDp6anKJRbP+fvvvzl9+nSF2aoowKD06wMyPqTtmao3ZbXNpUuX0r9//2sW3FCuNwE6derEq6++Ko+hFMmKPY+wkYqY08UaUTk+GgwGUlNTtTldQ0OjBJo4V0NDQ6MCKQ/HtibQ1bhV/v33X1JSUuQmRGxMTp06JZMeRGWrv/76CyjfjjhiQxITE8PmzZsJDw9n06ZNTJ48meeee47NmzezdetWvv32WxYtWsSECRP4v//7P8LDw0sIcwE+/vhjunfvXm7Xp1F9cHd358svv6Rnz56YzWYKCwvx8vJiy5YtfPHFF/Tu3ZtatWpVmkBXjLmaQFcDrt9p19fXl9atW9OvXz9eeeUVPvjgAzZs2MDmzZtp3ry5KiiotCllt10x1okgkDK5Q9ip+CfGQ2WnXfE6GxsbCgsLuXLlCgcOHODPP/9k0aJFPPfcczz00EOsW7eukj4xjdtFr9fj7u5O+/btgZIVoA8cOMCWLVuA6pFEpgzegLoDJSALhGjcvQib8Pf3x2g0YjQa5WMnT56kqKjouoEUZYBy06ZN/Pnnn9c8j06n4/jx4yxevJiDBw9qe6IaSlUJc8XasGfPnowZM0Z2sBVrw9IKbezevZvvvvtO9djtnl8kRinXCQ4ODjRr1uy2jq9xa9xMgpAQ89yqLYiK0OI7oEwmS0tLA8p37hfHFh3JxbpSPB4eHk56enq1WG9oVDxi7RYYGEjjxo1lwphIHC8qKuLNN98kMjKyXG1CE+hqCJSV8NetW8fChQsBZHEXsd+wtbUlMDCQCRMm8Nprr/Hee+/xzjvv8Morr9CpUyfq16+vEuwq524bGxtSU1OZNGkSf/zxx21dr3U33dGjRzNnzhzWrFnDiBEjqF+/PkajkaKiIlq3bs2aNWuoVauWysY1KpeKFOYKhJ2KIoTK4xgMBjw9Paldu3a524BOp8POzo62bduqktqt1xHlLcTQKH/KWgzmZrsv63Q67r//fvlaMTYKezcajWRlZZX7+xF7HFFw9VodJrRCRDWTo0ePEh4eLu+fTqfD0dGRIUOGVGhieVlQnttgMHDlyhXeeustFixYwNtvv010dHSVXZtG+VKaD0mv12Nra0tMTAxffPEFv/76K1C2TotK2/3ggw8YPXo0AN7e3vj7+5fpmpTitLlz56oEuqLLtCbQ1bge1gJdIZwBSnTQnTRpEv/5z3+AYjEuUOEdc60pTaAr1qPDhg2T+7ubXcNo3DrWPs3k5GTs7OxIT0/n77//5uuvv5ZrMWsqQ6Bbr149nn76aR555BF8fX1VPnilIMfGxoasrCw++ugjZsyYwdy5c/n1119JSUmR8R/xPPFzTk4OKSkprFq1ijfeeINp06axY8cOMjMzpTAXrn6ffH19WbVqlfSPalQeFe13t1gs2NnZMWnSJAICAuQcK/zfFouFU6dOkZ2dXe7+b7PZjK2trfw+KG07KytLCs21Alp3B2IN+Nxzz+Hl5aXKrRBj1+uvv87JkycrNBbj7u7Ogw8+KGOfSsF6bm4uv/zyi+pxjerJzRYTvtm1l16vp3///qpxV4xfer2ewsJCcnJyKqxDqYiTWvuPROxc8x9VX8pqm99++63MhbsRSjvr3r273Pco51aTyURRURF79+4t8ZrywGKx4OTkhIODg8r/YDKZiI2NJSwsrFzPp6GhUfPRZioNDQ2NGoDS+fn4448DsHHjRiIjI+XjykrTX331FQD33HOP7NircfcxZswYCgsLWbhwobQTYUvKKtZwtaNufn6+7FB6uxsVIUCDq1XeTp06JcVo4eHhhIeHy02REoPBIJOHhBCtVq1afPLJJ9x3331AyQ5SGncGHh4efPjhh0ybNo3Q0FCWL18uA91vvfUWH3zwAbt376agoEBVHdhoNLJ582YApk6dWubgOBQH2XU6HQMHDgSudmY5ceKEtGFrgS7A4MGDcXV1Ld8PQKNGoeyIa42DgwO2tra0atWKsLAwVRJxnTp1eOSRR/Dy8mLfvn1kZWURGhqqEqYJuxRjphi/rcdtKA6AKoW7YgxVOs1HjBjBiy++WCGfhUb5I+55x44d2bp1qxzzxH01mUz89ddf9OrVi4CAgKq+XHm9qamp8jGRDFy7dm18fHyq8Oo0qgtms5nAwEB8fX25cuWKDLBERkaSl5enqoqpRLnuW7t2LXPnzgWQiWxKhAPebDZz6tQpuSfq1auXtieqQVxPmCsS0SpCmAvqteGDDz5IRkYGK1euJDY2Vo51yrlXzLl///03Xbp0kQlKt3N+UHeUFsK0WrVqacUOqoBbSRC6lSRHYXd9+/blv//9LxkZGSWKXuTk5JTre4PiNW3Lli1lgSxxLSLIrhU5uLsQiWMvvfQSJ06cICkpSe5FxL541apVPPfcc7i5uZXbeYVAF2Dx4sVyTBd7IKVA94033qBt27bldm6N6oMY73799Vc++eQToDjZRoyJ3bp1Y+DAgQwYMAAPD48SxxgzZgw5OTn83//9H//++y8JCQnSf2QymeTPBQUFssDWoEGDbivpzHrc79y5M61atSI3N5f/+7//Iy8vj3nz5klhrpZAVDVUhjAXiu24tHWbyWTC3t6+QgWyXl5eJTpFWSwWLl26RE5ODo6OjppfvRpTkXYq5vKJEydy4MABVYxI+MBjY2PL/T0JexNiB6VQw8bGhvT0dAoKCrS9Tg0lIiICKC4CbDKZMJvNMnZSleONOPfFixdlh0BR4LV27dpcunSJevXqye+GRs3kWj4k4TcyGAzExcXx448/Mnbs2DKPnUr/0Jw5c8jOzsbPzw8/P78yX5vwYxkMBunP3LJliyq2CagEumvWrJHjv7ZmrJkobfJ215VCoAvwzTffkJ6eLudspR0dOHAAQP4uRIqVKcwVKAW6CxYs4OjRowwfPlwlzNWKxVQO1/JpFhUVodfryc7OZvv27WRlZTFv3jzq1KlT4hjWAl24Wjw1KipKPq4sLikEukuWLMHf379Mc6yfnx8TJkygbt26fPvtt7Loh1inCns3GAwUFRWRkpLC2rVr2bhxI+7u7nh6etK0aVNq1aolx+6cnBzOnj1Lfn6+qri7iLuLdQtAq1at+OSTT2RzDI3KQ9hQdHR0he2BRHzd0dGRpk2bcvnyZVWhfoCioqIKKxpQu3ZtWrduLTuiKs+TkpIir1GjepOVlYXRaLwtX7gYC1u0aEGnTp3YsWOHXCuKMS41NZWFCxfy3nvv0aRJk/K6/BI0b96cZ599lqlTp8rvmxjHjxw5wg8//MCIESO0vMxqSmXELE0mE3Z2djz22GMcPnxY5WcU+RkxMTF06dKlXN+bsDcRa7f2H4miHFrOR/XkZmyzSZMmN22bYu0WHByMp6cnKSkpqn27xWJR5auVJzqdjoYNG1KvXj0pxBU5nUajkYyMjAo5r4aGRs1F83poaGho1BC0DroaN4OwiQkTJvDKK69ga2tbIilH/APYv38/27Ztk3+/XcQG6v3332fnzp3SoSNsWNntUSSACBtXXr+fnx9Lly7VhLl3CR4eHnz55Zf8/vvvNGvWTFaP9vHx4a233qJPnz6V2kFXCEC0DroaN4OtrS0AjRo1AlCNaxkZGTRt2pSJEyfyxRdfsG7dOrZs2cKGDRt4/fXXGTlyJJ07d8bJyQl7e3tVYhMUC2+VYyig+l8pHjIajQwbNoz58+errkWjeiPm0N69e+Pl5SUTKpSBu4MHD8qqulV9X8U4nJeXBxQ7RouKinB0dLym6FLj7kKv1+Pm5kbjxo3l2GZra0tubq6cu60rRF9PmCuea7FYcHR0BJCVrsX35eTJk3z11Vfs27dP2xPVEG4kzFUmWJa3MFegHGvHjx/PhAkT8Pb2BiiRdCSuedeuXWzfvp3c3NzbPv/58+dV3aHF59GvXz+ten8lU1nCXCi+zwaDgfz8/BLCXCheH5R3NX2z2SyFQspiMBaLhaSkJEJDQ8v1fBrVGzHG+fn5MWjQIGxsbFSJxUVFRezevZs9e/bIbjzlhdZBVwPg3LlzrFu3jtzc3BKFqIYMGSK7l3l4eKi6TAhq166Nr68v8+fP5/XXX2fAgAEAqg5kYt0gBLrCH1qeODo64uXlxZw5c/joo480YW4VU1nCXCiery9cuAAU79fFeObj40NRUVGZOkndDOI8Yr0ofEbi8bi4OFJTUzW/ejWmou1U2KCfnx8mk0mOi0q/Y3nsZ66Fk5OTqpsZXB2Po6KitA4TNRBhM2fPngWKxxyDwYCXl5fcQ1c1p06d4r333mPBggXExcVhY2ODwWAgKyuLTz75hJycHE2YW4O5ng/JaDTKmLTBYLilZFnlPPrpp58yffp0ed6yonXQvfMRNqLs8imwnq9vxZ9TWgddMW5Z24hS8C2EuWvWrKk0Ya5ACHRffvllZs6cqQlzq4DrCXNFjBmgsLCQHj16lCrMFVRGB10PDw+GDRvG0qVL6dy5s2oMF+tHcS5lbDwpKYkzZ87w008/sXnzZjZt2sTmzZvZvn07ly5dktcgXieOabFY8PLyYsCAASxZskQT5lYBShsdN25che7VDQYDdnZ2tGjRAlCPxTY2NtjZ2VXIelBcr5+fnyqeJB4XHSCrOsavcX0iIiIYN24cmzdvLhfRl7e3N4899hiOjo4q37ewg9OnT/PVV18RExNz2+e6Hn379uXJJ58EigstiWs4f/48oAnHqyOVFbO09h8p44ZivVkRxYQFtWvXVuUTi/NGREQQHh5eYefVuHUqwzaFPQQFBdGyZcsSee8A4eHhpKenV9he+lrC8JCQEIBy9/draGjUXDTPh4aGhkYNQhPoapQVpdD18ccfVwl0hY0ouzMCLFmyhCNHjpTbNcTExMjECiF0VHbjEZsS5YZJVHx1dXWlT58+fPTRR/Tq1Us+T3MA3fm4u7sTEBAggzjClr29vauVQHfHjh2kpaWV75vXuCMQtuTl5QUUOy/F/7t27VIJyJo2bUpwcDCPP/44H3zwAatWrWL79u1s2rSJ999/n+nTpzNgwAAaNGggO5CKJDpl1z4bGxv0er0qUDls2DA+/PBD+bsW+K45mM1m3N3dGTNmDLa2tqrCGiKRfO7cuURGRkobqCosFgtZWVnExsaqxEUA7dq1w9HRUXNEakgb8PX1BZCO+Ly8POmwVq7zbiTMFYHCBx54gOeff/6aeyJNoFtzuFFSZWUIcwXKvdQTTzzBhAkT5Lwu5lORpCmSKT/77DP+97//3fJ4J8bxkJAQVZBfXEfTpk1v5y1p3CSVKcxVYmdnh6Ojo0qIKzqeiMIv5b0n1uv1BAYG0rRpU5WfQFyDVpTo7kOn02Fvb8/999+Pra2tKvlXr9cTFxfH6tWriY6OBso34KwJdO9exHx35MgRTp8+LcchYV9Dhw7lww8/JCAgQM77YpyyTqIUx7r//vuZPXs2jz/+eInzKcdST0/Pcn8/yqrtyj27RuVT2XM5XE1yT0xMVPnghS3fe++92Nralnvyr7j2Zs2aYW9vL/1OUNzVQvNjVl8qy07NZjNeXl64uLioCv2JY1Zk99omTZoQEBCgEnCIgq3aerPmIrotizFH7JFFEbWqJj09nbCwMLKzs+W6VlxjTEwMhw8fBjRRRE3kRsXdoHi9ZzKZSExMJCUl5ab3Lsox18nJSXXcsnIjga7yu6MJdGsOYtwQNpKUlERISAjbtm3j888/59NPP+Xzzz/n559/Zvfu3RQWFkrf9M3GcqwFumKdoBQsCER3UdExt23btlUSG9Tr9XTo0EGK2rX4ZOVxPWGu8DGKseW1115j/PjxwPXtsjIEura2ttSrV4/Vq1czY8YMOnfuDBSLgIT9iDWHcqxXNgNQrnGF/15cg3htcHAwM2bM4N1336Vu3bo3/Rlr3B6V7XcXtlJakUERd6oIce6NCmidP3+evLw8bWysxkRHR/PYY49x4cIF1q1bx88//1wuAt327dvLmLe17zs/P5+9e/eyatUqEhISbvtc16Nnz564ubnJeKewxV9++YXExMQqzT3RKEllj50WiwUfHx+V/wiK/fAODg63/Z6uRbNmzfDz81Ndi8FgwMbGhszMzAo7r8atUZm2KdaFYh1qXdTazc0NFxeXco/DWCwW7O3tadmypeq8Yo0hCipoxd80NDQEWjRYQ0NDo4ahdH6K5KKNGzcSGRmpShQGpEAXrnZfq8jgukb1ozRb+fjjjykqKlIJeUSVq/T0dP73v/8RGBgoBWC3Q2BgIF988QXvv/8+x44dIy4uTm6UhBPcurqr0Wikfv36TJw4kT59+hAYGAhowtw7DevNdmmbb+vqwkqBLsDu3bspKCiQCW4imLR582YApk6dir+/f5mvSZk4OXDgQABWrlzJiRMnpK0qBbqffPIJRqORRx55RHZK1ai+VOYYIs7Trl07HBwcZLBHBFvCw8MxGo2yqpqyE5UYm318fPDx8aFx48byuFlZWeTm5nL69GkyMzM5cuQI0dHRXL58mcuXL6uCkQDDhw/XKlLXYMT96tSpk2qcE9UpbWxsSE9PZ+HChbz//vt4eXlV2Vyp0+mIiIjg0qVL8hrEvB4UFARojkiNYhvo2bMnW7duBYrn96SkJNVzb0aYu3jxYgAKCgrYsmULUVFRJfZEQqAL0KtXr2tWtdSoOm4kzBUFWypDmCtQ7qWefvppDAYD69atIy4uTjVni2swGo28++67FBYWMmjQIDw8PICyz8E6nY7Tp0/zxRdfkJeXJ9eeFouFDh068MQTT5T4rDQqhqoQ5or7evLkSZngoawIrdfrpU1VBHq9Hnd3d1XChdKvNHLkSNX+XePuoFOnTjz//PMsWLBA2r9ItDx9+jTz5s1j+fLlJfw7t4sQ6AIsXrxYjrPCdyUEugsXLuTll1+mffv25XJejapFCL+/+uorOQ+K/W337t155ZVXpA3eaB4UawYbGxscHBw4duwYUJykIRKTAb755ht69epVIfOr8nja3F01VIUwF2DPnj1S8AXF99/e3p4mTZqU23msMZvNODg4yHWkUpSUnZ3NqVOn5B5do/pQ2Z2dRWcoZWI4XN2z16tX73bfzjURonSlbQp/V0hICPfcc4+23qxBWHd4EnOsxWIhMzOT7OzsahGP7t27N2PGjOGbb76RoiS4uscyGo0cOHCAvn37an7zGkZZirspC/IK/01VjjHKPZPwc27ZskU+pux4KgS6a9askfOCVuSleiH2xZmZmZw7d46ffvqJEydOcOHChWu+pnXr1tSvX58pU6bQsGFDKWgo6z5ECHTh6h4mPT1d7pOVvhxRFGj58uUEBQVVqd1fr4uwRsVwI2Gucrx57bXXpL+5LOtMa4EuwKZNm1TxGBG3UQp0lyxZgr+/f5lsUTxnxowZPPjgg/z++++sXr2anJwclZ9AFB9Srj/E+1AWHBRzgXjPdevWpXfv3jzzzDO4u7tr+R1VQFX43YXdWcchxfkCAgJkk4vyHKvEsVq3bg0UN6wQ38WcnBzy8/MrVOCmcesobbRWrVokJSXxzTffoNPpGDp0KO7u7rd0XGEDDzzwAGFhYXz11VfS/oUNZmRk8Ouvv1K7dm3GjRuHt7d3Ob+7q/Ts2ZN27dqxa9cu6R/Q6XRkZWWRmZlZLjmjGuVDVYydOp1O+nFK8x9VZHELOzs7VfMqcT1Go5GQkBC6d++u5b9VEyrbNoU9uLi4yN+Vew57e/sKsQtxDmH3ymYBer2e+Ph4uR7V4kAaGhqgdc7V0NDQqJHcSgfdvXv3at2i7kKsO+jOmjWrRAdduGovRUVF/Prrr+zevZvc3NzbPrfZbKZOnTosWrSI+fPnM2PGDPz9/XF0dJQdH0UQHKBr165MmjSJdevWMX78eCnMFdenUXOxrjyu3AwLW1BSWhW+W+mgGx8ff1PXWZYOuuLaMzMzqVevnha4qSKsq+wmJiaSkJDA4cOHOXLkCJcvX1ZVk1Te28rC0dFRjnPKbqKpqaml2qYyWCgQ3x2z2Uzt2rXx8fGhX79+PPTQQ8ydO5fVq1fz008/sXnzZpYuXcpjjz3GAw88oAlz7yC6dOnC008/DaCyJfEdOH78OJs3byY7O7tK5kpxHfv27VMlCtnY2ODr60uPHj2Am68Gr3Hn4ubmBhTP/xaLhX/++YeCggJVV3G4vjB30KBBUpgLMHnyZMaOHauq2A5aB92awI26nZSnMPd63XDEeKYcr5R7qcmTJzNp0iRZOEMUbVEWUDCbzcybN4+lS5fyzz//yGOUdm7rxLnTp08zY8YMrly5okowcnNzY8CAAfI7oO2LKpaq6pgr7mt4eLi898qOi/369ZMVecsbYZvCtkXCkvhOiORSTShxdyHGqEGDBvHAAw8AqJJ+9Xo9+/fv58UXXwTU3aDKg+t10BXJSkeOHGHLli3aOvMOQIxDv/76K8nJyXIeNBgM1KlThwcffFB2ty3LPCg6j2VmZjJlyhROnjyJjY2NTCoSwtyvv/6a3r17l0jo1bgzqCphbkxMDBs2bACQa1Wxh+natavsAFUR6PV6vL29admypUqYJN5fRkZGhZ1b49ao7GIwAP/++y/JyclA8X5ZxGduNcH4RpjNZpycnGjatKk8LxSvN+Pi4gBtvVmTEHO36Foj7qler5fxx6pGXMOECRNo27atfFx03dHpdOzbt0/rClXDKIswV6DspGg2m+XYV1X3W+uge+dQVFTEyZMnefbZZ3nllVfYunUrFy9eBK4WoxC+TKWg4fTp02zfvp2JEyeyePFiDh06BFBC7HA9hED36aeflh10RYFKZRFgo9HIzp07pZhR4+7gej7N2xXmCsrSQVe5BwkNDeX5558nPj6+TH4jUZALoEGDBjz99NMsX76chQsX0qZNGykUMxqN8jqUviKRs2E2mzGbzZhMJurUqUP9+vV5/fXXWbRoEW+//TY+Pj5afkcVcD3xeEXvgQoLC0lISCgh8gK49957MRgMFZJLITrtQXHDDLj6WSQmJnLmzJlyP6fG7SHWY++//74U5hYWFmIwGEhJSeHrr79m27Ztt9xBV2mDw4cP56GHHgKQsVAxfqakpLBlyxa+++47uYYtT4T99+7dGyju7GwwGMjLy5O2qe2Tqp6qKiYMcODAAVUxYRGr1+l0Mt+jvLFYLDg7O9OsWTN5XijpP9Ly36qeqiy4ERERARTHLMXjPj4+FBUVlWusEoq/EyJGJcZMsZ+/cOECsbGxWg6HhoaGRCuxp6GhoVFDudUOuvfcc4/WLeouQ2krjz32GAAfffSRqoOu2KxkZGSwZMkS3N3d6d+/f7mdt2vXrnTt2pURI0ZQWFjI6dOnSU9Px87ODg8PD1xdXWnbti22traqqmwaNRtlQjlcFZFFRETwzz//EBUVhV6vp6CgAGdnZ7p27Yqfnx8PP/wwRqOx1AqVVdFBV6fTsWLFCk6cOIHFYpFJnJ9//jn33HNPeX1UGjeJcK5s27aN8+fP89NPP2E0GqVz0M3NDRsbG/r06UOTJk1kh2OR5FvRzjqz2YyXlxeNGjXi7NmzKsdMcnIyERERMmB5PcR1lna9ooKwk5OT7HzSt2/fEtehOSarH2UVV4nn3X///ezbt4/jx4+XqBCZlpbGtm3bqFevHgMHDqzUNZ5YO1gsFvbs2QMUBxeNRiN169alUaNG8lo1NACaN29O3bp1iY+Pl4lHWVlZmEwmVVeVGwlzP/30U6C4o6T1nuhaHXSXLVv2/+ydd3hU1daH35k0UkggjRAIAUINvYMIqAjSiQoKhCpNvCgKKljADtLBiyBF6SCg164oqAiKdEKA0EJJg/RGejIz3x98++ScSSGVJLDf5+Ehmcycc2bOmrX3Xnv91iIjI0MRO0oqlvLumGs+DmZlZWE0GomMjCQjIwOdToeTkxOOjo7Y2dkBeTvaq9c0Y8aMoXr16nz11VecOHFCM/dU/7xz504OHjxI//79GTFiBG5ubnn8szjPxYsXOXHiBJ999pkiSFJ3TmnRogWDBg2S4/k9oKKEuYIzZ86wbds2ILezj7guIZwtD8R7EJvd5hWwY2Njyc7OlklrDxjCR9WqVYs+ffoQEBBAVFSUJslSr9fzyy+/4OLiwttvv31POuhaWVkp6ypfX1/mzZsn55n3AcIPiQ63Yk1hMBhwcXFREiWLgvDNKSkpTJkyhYCAACUOYGlpqRHm9uzZUyPMFdeRkpKCg4ODLIpRhbnbWP7FF1+Uy1ielZXF33//zdmzZwFt8Rd3d3fGjBkDlH+sxsXFJU/BGYPBQEBAAGlpacq8V1KxVGQxGMjt3CTmnT169Ci3YjDi+kWBYXU3CZ1OR2RkpIxhVjHE/RKdvtTCsOjoaIKCgujVq1eFjqXCnmrWrEn9+vU5e/assr4XBZGuX79OVFSU7ApVRShKDEnMIdX7fKJA4MWLF/H19a3Q+Z15B12dTseePXsK7aBbmiJ1krLnzJkz/P7772zfvp3U1FTF/wn/ItYbQJ69HNEpcceOHRw+fJiJEyfi5+dXrPHP1dWVIUOGAHfWNOoOupBrY59//jlpaWm88cYbMi/oAaA8O+aaU9QOumKeefbsWaWDbu3ate8aNxLfGeHDmzZtStOmTenevTuJiYn88ccfSq5JdnY2CQkJilDI2toaKysr3N3dadWqFbVq1eKpp57Czs5OM9bLtf69p7C4u9hTKc810MGDBzl+/LjymPDblpaWNGrUCCgfu9DpdHh7e9OwYUNu3LihycszGAwlFnhKyg9hH507d+bw4cPKPFIUERQCXaBUHXQBGjRowFNPPUV0dDSHDx/OI9CNiYlh9+7dWFpa8tRTT+Hm5lZWb1OZU/r6+gK5ncfF3pC6oJek4qgMxYRBGz+CO6LuZs2alfo8hZ27Xr16yrnVj4v8EvOOqZJ7S0WKxjMyMrh161aepkBwJ1+yPPayha21bt0ae3t7MjMzlesRBT7KogmWRCK5f5DRO4lEIqnCFFegu3btWjIzM3niiSfkBs4DhrlA12QysWTJEo1AVySqxcbG8sEHH+Di4kK7du1KfV7IDWZ6enqi0+lo0KBBga9RL+olVRdhb2lpaQQHBysihbi4OOU56orPIiD+1Vdf0bZtW8aOHUvt2rXzHPdeC3T79u0LwObNmzl58iRwR5grxOtyA+feIWwqMzOTS5cusXnzZn766Sfl7+rOxklJSRiNRr766isA9u7dS69evXjqqaeoVatWmSaN54e4Di8vL01lSWGbZdGtRFy/eqNS7T+lL604bt++TXZ2NnFxcaSnpyvVmz09PbG0tMTe3l7z/IL8iHisadOmPPLII5w7d04jUBT398aNG2zatAlXV1c6dep0z+Z44vrWrl1LQECAItQ1Go04OTkxbty4fAstSB5sHBwccHJyUqpHWlhYEBkZyfnz55UuUsUR5gp7z29NpE4IEV0yzpw5w9WrV+VaqJIg/MisWbP46aefNB1z1VV427RpU6xkRPMCMfv27ePatWv8+OOPpKSkkJiYSHp6OjqdDkdHR6ytrWnWrBndu3enU6dOtGjRIt8CMXq9Hj8/P1xcXHBzc+OXX35RrsdgMCjzC4PBQHh4OOvXr2ffvn14enoyZMgQatasiaurKzY2Npw8eZLQ0FC+++47UlNTSU9PzyPM9fLyYu7cuUolVkn5UdHC3ISEBPbu3UtaWpqmY7PJZMLX15epU6cqv5fX2sPBwSHPOQwGA9evX+fq1avlttkuqbwIWxg4cCCnTp1i+/btmm7gIgHi66+/xsHBgZdfflkZb8vq+2Eu0BWJzq1atWLbtm3Y2NjIJPX7AFE449SpU4rtiHF8wIABODs7F8mu1MLcSZMmaYS5FhYWBQpzxd8Bdu/eTWBgINOnT8fDw6Mc37WkvAgNDcXf31+TkA531g5OTk5s2LCBJk2alGlcSNje+fPnWbduHcnJyYo/FPMIb29vpWuoiMWLaxCFKkvrO8XxGjduzK+//qqs0YVYo169elKYW0moqDlnYGAgGzduBNDMOQEaNmxYbvNM8T5EMrFYM4m1/pUrV7h16xZ16tQpl/NLyh4x9/L29ub06dPKvYQ7c8iIiAig4pO5TSYT1tbWTJ48mUOHDpGYmKj8Tay/r169SuvWreU+TyWnOMXdfHx8SEtL49atW8qaxWAwVJoO8mqB7gcffACgCHTVe6ZCoDt27Fgp0K0k7N27l61bt3L27FmysrKU+2Xe/Va9bhaYTCZlvM/Ozubq1avMmTMHe3t7+vTpU6zrKEygK3I9RPFAnU7HnDlzpED3PqYwYS5QpsJcQXkLdEE7hzAajdjb22Nvb68UPMrMzESv1xMZGan8bG1tjZ2dHXZ2dkq30rsdW1L+3E2Ym52dXa5roLCwMHbt2gXkzv/EfuPDDz9M165dgfKzi2rVquHo6KgZE8S5zpw5w+DBg8s9b0VSfNzc3DTxFMiNH5aFQFfMbTt37kxsbCxxcXFcunRJ40P1ej1RUVFs376d7Oxshg8fXuZFhdR7QpC3S6mk4qjoPcvAwEA2bdoE5I77wk5EUYPyQLwPd3d3IG/86PLly0RHR8u4fQVS0aLxQ4cOERAQoDwm/tnZ2SmNI8oLW1tbDAaDsgaEO/4zOTmZgIAAmjZtKmNLEokEkOJciUQiqfIURaArkkHOnj0rk9EfYPKzFXOBrtj8i4qKYubMmaxcuVLpyFga1JVhi/pcSdVFBJBjYmL44osv+Pvvv7ly5Yqy4FZvEqoXy0ajkdOnT3P69Gm+/fZbli9fTvv27fNsGpaHQNdkMpGWlqaI5swFujk5OaSnpzNt2jQpzK0AhO+Kj4/nq6++Yu/evQQFBWkq4qmrUIuAtbCrgIAALl++zL59+1i0aBGNGjUq1/snrlcIzEUQSmy8nDhxgiFDhpSpgNa8OqC0zfJH3Ofs7GwMBgM//PADERER7N+/n9TUVFJTUxWRjaWlJc7OzlhYWPD444/TqFEjevToQY0aNQqdlwk7ff755wkICODAgQNK9T11IPP8+fOsXLmSOXPm0Lp163smhg0KCuKff/5RPg8x53R3d1c68ElhrkRgNBqxtramSZMmnD9/XungZDAYiIyMBEomzIWC10QhISEAyjGGDBnCiy++eC/ftuQupKenK35EJA6JDb6cnByaNWumJE8UJQlRzENTUlI4cuQIP/zwA7/++qvyd7E+Fj+npaWRlJRETEwMhw4dwtPTE19fX2bNmoW7u7syNxTrJZ1OR48ePahTpw7e3t589tlnSiIo5M5HhH2HhIRw48YNDh8+rFyDOkFKIDYYRTJpzZo1+eyzz/D29i7NxyspAsJ3hIaG5tlIhDt25+bmxueff17mm9zCpk6dOsUPP/xAVlaWcmxhpz169LgnxS6aNWuGi4sLiYmJGrFQTk6OrPj7gKIWi82dO5fQ0FAOHTqk2KYYo9PT0/nyyy+pVq0azz//vOL/yrqDrl6vZ9myZTRu3FgKc+8z9Ho9sbGx+XYMqVu3rvKcwiipMBdy/e3y5cv59ttvSUtLo23btgwbNkwmSFYxoqKiGDBgADk5OdjY2JCVlaXE9+COP8nOziYrK6vMBArCD928eZM5c+Zw69YtJe4pxlFbW1veeustJbEM7vhY8/WMOcUd+4WtqgtqiHXQ0KFDlRiqjGdWLBWVWJmYmMivv/6qFJETMUqj0Ujz5s2ZPHkyUD72Id5H27Ztsba21iR1iu9BZmZmmZ5TUr4IO3F0dNQ8LuaBv/zyCwMGDKBGjRoVc4H/jxgDatSoQfXq1UlMTFTsXyT4Xr58WXmupHJSmDBXxFHUxd127dqlFIFTz/nOnDkDUCnmd1KgW/XYuXMny5YtIyUlRdP1UB0DFI+ZC3XF38T4J57XsmXLEosbhEDXZDKxfv16jUBXbUc7duwAkALd+5S7CXPV/qSshLmCogp0xc8lEeiqz6XGZDJhZWWFXq/Hy8srz/OFqEyueyqewuLuIlbj5ubG+vXry2UNlJ2dzd9//01gYCCgtQ1XV1f8/f2Vx8tjbiAKJtSvX18pcq0WPV69ehWgwuclkry0a9cOe3t7srKylO65IlauFuiaTCaGDBlSbIGuOhdtwIABpKamsmHDhjw+VK/XEx0dzZdffklWVhYjRowoVlOKu1GzZk2lC6QYL+DOvi1IP1pRVLQwNzExkb179+YbP/L19WXSpElA+caP2rVrp6x51PEjk8kk40cVSEXbZmhoKDt37gS0BTdMJhOdOnWiQ4cOZXYuc0wmE3Xq1MHHx4eLFy9quo0DSqMi6TMlEglIca5EIpHcFxQm0FUntA8ZMoSXXnqpgq9WUlaohY1FXdCY24pOp2Px4sX5CnRv3brFyy+/zIoVK8pEoCt5MBDB65s3bzJr1izOnz+vJMOpq1SrK6mDdiPIwsKC5ORkLly4oHTRM6esBLoiYPTzzz9z4cIFBg0apEliE9c1YMAAOnbsqCTSyUDkvUPcg6ioKBYuXMi///5LQkKCZtMb0CRcip/VdpWRkUFQUBCjRo1i1apVdO7cudzuozpoKCoKQq69x8TE5BHTSqoeer2eiIgINm7cyLlz5wgICNDYoQgI5uTkYDAYuHnzJkajkU2bNmEwGPD19aVJkyZMmTIFFxcXnJyc8pxD+DMLCwsWLlzIpEmTOHv2rCLQFTas0+kICAhg8eLFvPbaa7Rs2bLck3SysrL45ptvlM7n6grcU6ZMkYIySR6Eb2zRogXffPONsolpMBiIjY0tsTBXfXzzNdHu3bu5fv06AEOHDmXhwoVA2SSgSEqP0WjE1taW//73v8ycOZOYmBhNshrc8YO3b9+mevXqRRbmxsXFsWjRIk6cOKF07BFFO9TzUHWxGOHDoqKiuHnzJsHBwQwYMIChQ4fi7e2t+Fvxf8OGDXn55Zdp1KgRCxcuJCEhQdl8MhqNmqIhIlFUJO2JTXX1/+I9GwwGvL29Wb16NT4+PuX46UsEer2eGzduMGrUKOLj45UkNjG+6vV63njjjTLvsieOdfXqVRYsWEBsbGyeLnu1atViyJAhWFlZFemYpfFtDg4OmgRhYY99+/alffv2JTqmpOqjTiT+6KOPeOmllwgICFB8qohHJSYmsnPnTvR6PVOmTNHYUllQo0YNhg0bhouLC4MGDZLC3PsIMa6KTnbW1tZkZ2crBQJcXFyAwv1bSYW5YpxOSUnhvffe44cfflDG6V9//ZVhw4bJBMkqRkJCAo0aNeLixYtKwQt1/DwkJIQ333yTt956i44dO5bahwg/lJiYyKRJkwgJCcmTGGRhYcGbb76JTqfjp59+4ujRo2RmZpKRkUFWVha1atXCyckJDw8PmjZtir29PT4+PlhaWuax+aL4VZPJpHQ+EXPSIUOGyHVQJSG/5DVASV7btm0b9evXL5diMKdPn+a7775TOosBypzvoYcewt7evtzj3Q4ODkoxJjHPNplMJCYmEhQUVO4dLiRlT+fOndm2bZvib0ViYkhICPHx8dSoUaPC/Y5Op8Pd3Z1u3boRFhamzAPEPDc1NbXCrk1yd4rTMbdt27bKXowoMKXuaHrr1i2g8ghgpEC36rBp0yY+/vhjAGX8Er5NiGHhzlrGw8MDFxcXDAYDCQkJREZGKs8Rr83JyaFx48bMmjWL+vXrl/i6XF1dGTp0KEAega6wESnQvX+pSGGuoCgCXfU5z549y4svvsgnn3yCp6dnieNGd9tfF8eUe/AVi1qYO3LkyDw2mpOTQ/Xq1dm0aRM+Pj5kZ2cXOQZe1HOfO3eOdevWkZSUpMTdRbfeBg0aKDlBajtUzz1Kuz4S34HGjRsrxxPXAZSpyFJStnh4eFC9enUiIyM19gDaDrrr169Hp9OVqIOuOs9z+PDhZGVl8fnnnyv5JOo9xNjYWPbs2UNSUhLPPfecZs+yJIjX3rhxg9TUVI3ftLCwUGxW+tF7T2HiR8gtJrxlyxYaNGhQbsWEv//++3yLCXfv3h1bW9t7Ej8S71nYpclkIj4+nqCgIJmHVAFUtDA3KyuLv//+m/PnzwPaghu1atVi7Nixmussa4S9e3p6cv78eeV3Ma8IDg4u04KgEomkaiMjdhKJ5L5A3bmsrAI2VY2CktGvXbuGwWCQyej3AeaLW/U9zO9+FrQYVtuKWJwUJNC9efOmFOhKiozYRAkLC2PixImEhoZqktpFkqM6UU29kanemOzTpw/PPvtsoZsyxRXomkwmJk2ahJeXl3IeS0tLDh8+zKxZswAIDAxk6tSpdO/ePY/43bzDhaT8EZ99eHg4M2fO5Ny5c5rESrUNqRMt1AIY8XxRSTc5OZn//Oc/rF+/nrZt25ZrpXSREJmTk6PZLLx27RrJycnY29tXmmQQyd1Rj6vXrl3j33//Zc2aNcTGxirPUYus1AIwIbpS28Hly5cJCgrizz//5NNPP6Vjx475nlds1Dk5OTF79mzeeecdrl69qvGr4ntw8uRJPv74Y1588UU6dOhAtWrVyi04vmXLFrZu3QpoN/qHDRvGo48+muczk0iEPQiRhdpvr127VhFllESYK8hvTfTpp5/Sq1cvuRaqhIj70Lx5c5555hm++OIL0tPTNb7yxo0bbNiwgSlTpihdbPNDjOdRUVE8//zzXLhwQfmbueDXPMFCvF74VAsLC27cuMHWrVs5c+YMM2fOpEWLFvn6tEGDBlGvXj3+97//ceDAASIjIzUJlmJzSPhIYdtqYa745+bmRrt27XjttdfyrfovKR8yMjJYtmwZ8fHxipgLtMkWK1asoG7dumW2Jha+LCYmhunTpxMeHq6skcTfra2tWbNmDT4+PkRHR5OSksLt27extbUFoFq1ari6uqLT6ZTHxHdKLbAtyjhsMplwcnKiXr16yrxGiHkWLVqk/C59Z/lRGbo3FYS4Lnd3d1566SXmz59PcHCwYg9i7I2KiuKLL74gNTWVV155pcwFus7Ozjz99NNA0TqpS6oGwkclJSUBuesmddEKKLhzbmmFuZGRkcyePZujR49qROcnTpzg1KlTsjhBFaNJkybMnz+fBQsWcPz4cY1oQiRyXblyhY8++oi3336bDh06lNiXCD+UlJSEv78/165d04zlAktLS7Zs2cKVK1eKfOyWLVvi6upK586dad68OR4eHjRo0CBff2o+Put0Opo1a4anpyc3b96UY3klIiQkBH9/f03ympirWVpaMmLEiFIJdPJDXQzmo48+IjY2VrFTkTjn5ubGk08+WWDymHosL40NGY1GPD09adCgATdu3FC+myaTicGDBzNo0KASv0/JvUeMo/Xr18fS0lIpzgp35o7R0dGsWbOGRYsWVbjfEXarjkWJNTjA7du3K/LyJIVQXGGuEK7CHRHMn3/+qRE1REVFER4eTt26dSvybWm4m0BXFJUTAt1x48axefNmpQt5RX+/HgQ2btyoxJTNu9+K2E3NmjUZNWoUXbp0oVWrVpqiqqdPn+bEiRNs27aN5ORkMjIy8Pb2ZuLEibRr167UeydSoPtgUpg4Qu0nofyEuYKiCnSFLz537pzSQbc0Al1J5UcUuB4+fDhJSUkacZmYj7m6unLp0iV8fHywsrIqExsVvi8yMpI5c+Zw69YtxS/qdDqys7OxsbHhrbfe0uT+CNR+OT+RbnH2vcVzq1evrnwm6iJaH330UbGPKSl/cnJysLKywtvbm8jISOW+qfcXzTvoAiUS6Kp9qL+/P1lZWWzcuJHo6Og8At2EhAR+/vlnEhISeOGFF2jWrFmJbUedqwK5+6PiO1qrVq1iH1NSNojxvbD4kb+/Pw0aNCjT86rjR/Pnz8+3mLC7uztDhw4t9/iRyWSibt26eHt7Ex4eruSTGI1GBg8eTP/+/Uv8PiUlQz33zM82c3JyqFmzJlu3bi1z0bg41vnz51m/fj3Jycl5bLNBgwZKwXP1WKvuvlzacVbYd+3atYHcgodiL8DJyUmusyQSiYLMYJBIJFUe9QRwx44dDB06FF9f34q+rAIpz8BKQcnoPXv2lMnoVRi1+Nza2pqTJ08SFxdHWFgYKSkpVKtWDVtbW3x9fXFyctJUMSuqQNdkMrFkyRKlQxAgBbqSYiEWvhEREYwfP56IiAhl00/8L2yrVq1a2NjYkJqaqnTLg9zKVj4+Pnz00UfY2dnd1WcVR6C7Z88eMjMzGTZsGJ07dyYrK4u//vqLF198UTnWsWPHOHPmDG+88QYjRoxQHpfce8S9DwsLUzqQiGRZtQAS7tiOqBguXgu5m+UCYY+3b9/m+eefZ+fOnTRo0KDcxuZ69erh4uJCYmKiErQ3mUyEh4cTFxeHo6NjmZ9TUj6obeT3339n9+7dHD9+nLS0NE0CrrA388rN6g0b4Q+FvbZr1+6u1R2FH2rZsiXPPfccq1evJiIiQrOxLb4bAQEBLFmyhJEjR9K3b99y6VKxefNmlixZAqB5/40bN6Zv376KMF1uJkrUCHto37497u7uxMXFKclMycnJQOmEuQLzNVHDhg3p1asXINdClRUHBwf69OnDkSNHOHnypEbUmp6ezu+//06PHj3o2LFjvgk7amHuqFGjiIiIUI6h9pPq44pkcECTnKEWzt6+fZvDhw9z69Yt5s+fT9u2bfNNxGjdujX169fH39+fxYsXExwczM2bN5Xjq69F3YFXXUCkW7duDBkyhF69ehV7A19SOqysrHj66adJTU3ln3/+AbRzSEtLS0JDQ5k5cyYrVqygZcuWpTqfWswzfvx4rl+/nkfMo9PpaNu2Lfv372fp0qVcvnyZ7OxsZd5hMpmws7PD0dERKysrWrRoQZ06dWjWrBmtW7fGzs4OBweHPHMRdeEhNWJTv2HDhpw4cQJAinnuIWqBzNq1a+nXr1+l7Zzdrl07Jk2axJo1a5T1GeSOvYmJiWzevJn09HTefPPNMhfoCqQw9/5D2Ii64rnJZFK6nuVHaYW5AKGhocrrxPnFmu3q1atSnFvF0Ov1NG/enDlz5vDxxx8rAl31uC4Euh9++GGJBbrqsXzUqFFcvXpVU4gQcu0sMzNTEeaKjtBi3imeI65RHPv8+fOYTCYOHDgA3BFd+Pj4ULt2bR577DFcXFzo0KGD8p7NsbS0JCEhgT59+sixvJKQlZXF66+/TmxsrNIhXCB8zu+//46bmxvPPvusZk1bUoSdxsbG5ikGI85pbW3NJ598QqNGjYiLiyMtLY3ExET0ej1OTk7o9XosLS1xd3dX1khqinONer0ea2tr6tSpw7Vr15T3LuecVReRMNuhQwf+/fdfjeAa7hRB/ffff3nooYcqVHAgrqdOnTpAbmFFdaEu8TwZx6w8lFSYK3yfKHagLvgSGRnJjRs3KpU4FwoX6KoFdtbW1pw+fZpBgwbxyy+/SDHbPWDnzp1Kfo06biPui5OTEyNGjKB3796a/Al11+P27dvTvn17unbtyr59+/j999/p06cPjz76KNWqVSuT65QC3QeL4nTMnT17drkKcwVFEeiqY+5SoPvgcPv2bU0uB2hjMtevX2ft2rWkp6fz9NNPl3odJHxeQkICzz33HCEhIRr/LZoIzJ07F4PBwPfff8+xY8dIT0/HysqKzMxMrK2tqVu3Lk5OTtSqVYsWLVpga2urKfQCud+pwq5XPLdFixY4OTmRmpoqC2JWAUSMqG3bthw9elTjv9R5IOUh0J0wYQI6nY6tW7cSERGRR6B7+/Zt/vzzT8LDw3n77bdLFbeMjo5m//79ynsW66OWLVvSsGHDEh9XUnJMJhPZ2dnMnDmz0PjRvn37cHNzKxO/CYXHj8Tf1fGj+Ph4MjIylNwOJycnLCwssLCwUHxlaeJHOp0OGxsbPD09lT0oo9Eom1JVIKLYlZ+fH+np6djY2JCZmal5jo2NjTKfK6t7I2zz5s2b+RbcyMnJwc7Ojjlz5mgKboh4gcB87Ibix4DEe2vXrh1btmxR4hFGoxE/Pz/eeeedEh1XIpHcn8gsBolEUqURk6bQ0FCGDx9OcnIy6enp+Pv707Rp04q+PCA3yS49PR1bW9tCBZNlgXkyuo+PDz169ADk4qQqobaRnJwcwsLC2LhxI9euXePUqVP5vkaI1nr37k2DBg2YMGECtra22NjY5HvvzW1Fp9OxaNEiZWNTdtCVFBURDIyJieHVV19VhLlqYayjoyNPPPEEDz/8MN27d8fBwYGUlBSMRiN//fUXZ86cYdu2bXh4ePDee+/h6OhY5M2Y4gh0v//+ewIDA3Fzc8PCwkIJqIqqXpaWlmRmZvLRRx/h5eXFQw89JBfOFYB6fB8zZgxRUVF5OjtYWlpiYWHBsGHDaNq0KV26dCE5OZnExESOHTvGoUOHlGqPkJt4I16bmJjIvHnzWLFihRIkLGtcXV2pUaMGcXFxwJ2gj5WVFSaTibi4uHIVBkvKDvU9+t///seiRYtITk5WNl3U4i91p0SxiSH8j6iep+6W6OjoSJ8+fXBzcyvStVSrVo3evXtz+/ZtNm3apFRsFccVCb4XLlzgs88+48KFC0yePBlPT898309RUM8hkpKS2LlzJytWrFDem1q8NGDAAHr27FnkY0seDMxtrlq1asr3RIzT6ueWRpgrUM9zpTC3atCsWTMmTJjAyZMnlfst/EtwcDBr166lY8eOirjCXHQbFxfHiy++mO88VODo6Ii9vT1WVlY4OjoSERFBSkoKGRkZynPUVbDV3dLnzJnD0qVLadGihfJctV07Ojri6OjI6tWrOXfuHH///TeHDh3i2rVrZGZmkpOTo7F1JycnAAYOHIiPjw/+/v7l8KlKioKFhQUPP/wwVlZWGAwGjhw5ohnPhS2Fh4cra+KSCnQLE/NArr80mUwEBARw7NgxzXWaTCaysrKAOyIPMce8cuWK8lpHR0fc3d3p3r07Hh4e9OrVC1tbWzw8PIC83XXVXV9EFX8/Pz8+/vhjQPrO8kbch+zsbEaNGsXZs2cJDw9n6tSpZd49ryywtbXl8ccfJzU1lS+++EJTLEb4z8zMTLZs2UJcXBxLly6VCZaSPHPB/NYjwv+IsVsIfE6dOkX//v014kUoG2EuQOfOnenQoQOHDx9W/K+4hpMnTzJ8+HDpB6sYOp0OX1/fPAJdYVN6vb5UAt2iCnPz+9m8GIz5ccXz1d0nc3JyiI+PVwobfv/99xiNRlq0aIGrqys9e/akQYMGeHt7U6dOHUwmEw4ODixYsIB+/foBciyvDFhbW/P2228zZ84crl69qinaI5J6L1y4wPbt29Hr9QwfPrxUCZbCTpOTkxk3blyeYjDCDtu0acOBAwdYvnw5ly5dIisri/T0dOBOUp3JZKJatWo0bNiQ6tWr0759e+rXr0+9evVo2rRpvrGlgq5ZzHlEfEompVd9dDod1apVo02bNvz777+a4lNwp1v0vn37lP2VioqBi/mDOhlTXbyrZs2amr9LKp7SCnMBzX6PeK3BYODmzZt5zlEZuFsHXXVHnoYNG8o11j1g3759rFy5Esi9P+LnnJwcXFxc+Pjjj2nXrp1SqFSMZep5pXhMFPYbPHgwLi4uSlywrChMoKuOkUqBbtXmbsJcyF1XvPHGG0ozh3sxz5ICXYk5JpOJZs2asWnTJl555RVCQ0MVO4Bc33rp0iW2bNmCyWRi2LBhJV4Hqdfqo0eP5tq1a3nW6uJ5mzdv5sqVK5r9I/U8Vk316tWxsbGhW7duSqy9du3auLm5YW1tnUfkk1/8ydnZWSmYINdAlR9xL9VCL7UYF7R7K2Ut0B0/fjxWVlZs27aN69eva4rOie7PQUFBTJgwgcWLF/PYY48pc4+i2JR4zoULFzh//rzymPDRrVq1UtZIknuLTqfD2tqaN998kzfffFMRpprHj86fP8+2bdvQ6/U8+eSTZRI/SkpKyjd+JGjXrh0HDx7kk08+4cKFC2RmZipFNW1tbYE7cSQfHx8cHR1p3749DRo0oG7dujRp0iTfcxc09hcUP5LC3IolJCSE+vXrK/ffvBhmZGQkEydOZOXKlWXSVE1dcEM0c1GP62If580338Ta2prffvuNkydPkp6eTnp6OiaTCXd3d+zt7WnQoAF16tTBwcEBHx+ffPOOijoXFQ1YsrOzlaKDcj9dIpGYozPlt7KQSCSSKoBauDNy5EglKRFg2LBhjBkzpsIFumLiFhYWxuzZsxkxYgRDhgwByn/jx3zCJyeAVQf1vTp58iR//vkne/bsISkpCchNplUn0orH1MnnTZo0oXv37gwbNqzQrivq823atImlS5eSnZ2dJziak5ODp6enFOhK8iUtLY1Vq1axfft2JWFcvUm5cOFCWrdurekUar64PXjwIAaDgW7dupWoYrCw5ejoaD788EMOHjxIRkaG4mtFIp46GUQs2NVd1HQ6He3bt+e9996jQYMGpflYJCUgv81Fc2Fu9erVGTRoEH379qVbt275HiczM5MFCxawf/9+JYlR7ddMJhMuLi68+uqrPPnkk2U+ThqNRrKzs5k8eTLHjh3TBEWNRiMzZsxg2rRplS4RRKJFfX+2bNnC/PnzAZQuteokX7EJ3rhxY6pVq6YIaFJTU/N0ExcJNWrxYXFsIT4+nl27drFr1y5FoKs+hjogWbduXebOnUuLFi2oUaOG8jzxPgpD/b34999/+fHHH/n666+BvB1OR48erRRIkPNOCeQGzbOysrC2tlYC9Hq9nlmzZvHzzz8rft28K3pphLmSqofa/61fv56lS5cCuWJEuONXnnvuOV5//fU8r0lNTWX+/Pl8/fXXih0J2xKbgQMHDqRr167Uq1cPS0tLbG1tiYyMJC4uTinecvr0acWHqucMcMdfdu7cmblz5xa4tjL3fSkpKSQkJBAWFkZYWJgi/rSyssLX1xc7OztNxxY5J6hYDAYDR48eZd26dRw5cgTITRJSJwLXrVu3RALdu4l5zBPW1V1u1bZoLvZRz0nUXXUENWrUwNLSki5dulCnTh3atWtH06ZNcXZ2zrPm2r59O+fPn1fmO3I8L1/U65sxY8Zw+vRp4M7m7qOPPsq0adMqpUAXICEhga+++oqdO3dy8+ZNzVwUcu23e/fuvPnmm3h7e8ux/AHDfEzLyMhQkjZE8rqasLAwhgwZQlZWljJnNJlMtG7dmp07dypzArVvLK0wV/hlMfcwL5bQsWNHtm3bVi6fj6T8MZlMBAUFKQJdMV4Kga4oEtS4ceMiC3TvVmRDIBLmhBDCaDRiNBo1lf0BJbHS/LrFMcTP6i4pgPIexHcFoG7dutSpUwdbW1veffddpSiHHMsrB+rk15dfflmTYAm54ybc2dMZM2YMw4cP17y2qBSnGIw5Yr0ivi85OTkFJqh7eXlRq1YtHnnkEdzc3OjataumS4b5exf/f/PNN7zxxhs8+eSTLFiwoETvUVI5ELYUHh7OlClTuHbtmmJbaiHb+++/zzPPPKN5TUWwY8cO3n//fcUexbU+//zzvPzyyxVyTZK8lIUwFyAuLo6nnnqKmJgYjR/q2bMnq1evrrRrE/WeqXj/4lpzcnI03aJkDKn8CAoKYtGiRRw7dkwzDgo7dHNzY+3atWWSdF7WxMbG8t133ykCXfOkeREzGjVqlBToVjEKEuaK+ZrwByaTiQ4dOrBq1aoKEVepfe6mTZsUgS6Q7/y3ZcuWUqB7HyNs89y5c8ycOTOPQFe9DmratCljxoxh2LBhQPHWCEVdq4trUq9P1HEm9R6mukC3eiywsrLC2toaX19fmjZtio+PD507d8be3l5ZhwvEcVNTU3nkkUd47LHHpLisCnH58mX8/f1JS0tT8jK9vLyoV6+epsCrOlfExcWFyZMnM2TIkGILdEFrF9988w27du0iICAAQGPT6jF98uTJ9O7dm7Zt2wJFmyNevXqViRMnEhkZqdmjatq0KatWrcLLy0vONSsI8bkHBgbyyiuvKMVR8/ObzZs3Z+zYsTz55JNA+caPzONIIn4EufaYX/zIyckJb29vatWqxaOPPoqLi4sSPzLHPH60e/du5s2bJ+NHlYScnByOHz/OmjVrlMLS+a01vLy8Si3QLUpxTLgjDK9fvz6XLl3SxMkLwtbWFl9fX5ycnHjkkUfw9PSkSZMmmmIMhRXbgDtdx/38/IiPj5cFNyQSSYFIca5EIqnSmAcfTSaTsgCtaIGuWpg7cuRIYmNjady4MdOnT+eJJ54A5MaJJC/qyfq3337L559/TkhICFlZWYqop6DFr7qyvjiWhYUFTk5OvPPOO0q3Ushre+YC3SVLlmg66IIU6EryR9hOYGAgb731FleuXNFsljs7O7N27VpatWqlvKYw+yvtxotaoPvRRx9x8OBB0tPTle+H+Xcmv41VJycnVq1aRadOnUp8HZKSkV/hDSF4FD7Q2dmZuXPn0qlTJ1xdXZXXqX2g2o42bNjA7t27CQ0NzTfp8eGHH2bDhg3l9p4WLlzIxo0b84hz1UJGSeVE7as2btyobJhZWFgoibYmkwknJydcXFyYMmUKdevWpWPHjprjpKWlcerUKW7cuMGePXuIi4sjNjaWpk2bsmnTJmrWrFki3xcXF8ePP/7Itm3bCAsLUxLW1Qm+YjPIxsaGPn368PDDDzN06NB8O1dlZ2djYWGhCRqmpqaSkZHBf//7X06ePMmVK1cANEnFRqORwYMHs3jxYqD0flxyfyDsIDQ0FH9/f+bPn0+PHj0UP/j5558rNmMu9JbC3AcT4Yvi4+P56KOP+OmnnwA0CRJ16tRhzpw5PP7440DuvOHPP/9kwYIFylhvaWlJdnY2Dg4OzJgxgy5dumgq86oFj8L/GQwGlixZwt69e5WiHupNJZPJhK2tLf3792fmzJnKHKSw9yI3YqoeBQl0zTcXiyvQLWqXPfG/uRhHXVwmv65T5scw36xXFyiytrbG2tqaevXq0aFDB+rXr690vXdzc1MEu9J+7w3Z2dn4+/sTGBioKeDi4OBA7969K71A9+eff2bLli2KyAhyk9zEuN6qVSsmTJhAt27dqFmzprStBwD1PQ4LC+PatWts2LCB9PR0HnroIV555RWN0NBkMhEdHc1TTz1FXFxcnsQ2dccfMccsrTBXzeHDh3nuuec0BTrgTkeAbdu2ydh9FaYsBbp3G8tF0q6I+YgYlqOjI9nZ2UohTFHQUCBeJ+xYPeYLCuo8rS7QId7LgAEDWLZsWVl/lJIy4F4IdItSDEaNeaEX8Zi4HnPEXFgtvBS+09vbGycnJ3r06EHDhg1p2rQp9erVw8LCQhMj2rlzJ//88w+rVq0q1nuTVF7S0tKYOXMmBw4c0HQfEz97e3vz/vvv06VLlwq5PvG9eOedd9i1a1eeIqBvv/02o0ePlvv1lYDChLnmhQMKE+bCncKWzz77LGFhYZr76uvry5dffomVldU9fW/FQR1bnzdvHrt37wbAz89PduQpZ8TnunbtWlavXk1mZmaeIoCurq7s2LGDevXqVVq/UZBAVxRzlQLdqkdhHXPzK7qi0+kYPXo0zz77LI0aNaqw65UCXQnk2kN5CXSLKuApiMLyh8zjRIAyF1Hj6OiIra0tXbp0UQRobm5ueHl5Kc/5/vvvlUYuchyvGoSFhTFs2DCSkpIUW+jUqRPPPPMMO3bs4MyZM5qutmqB7pQpU0rUQRe09nHgwAF2797NH3/8ARQs0G3ZsiWPPfYYU6ZMUebP6uOIOUtSUhJBQUG8+eab3Lp1S3O8atWqMWbMGF544YUSNdKQlB33QqBb3PiRwLxYoHmc0jy/OL/CBw0bNqRGjRr06NEDHx8fGjVqRP369ZU5t2DLli0cPXqUTz/9tFjvTVL2iPuck5PD0aNHWbt2rUaga17kujQC3eLsp5vn+4r4uIj7i/11cY1q2xWPeXl54eHhQfPmzenSpQu1a9fG19e3wBylrKwsunTpQs+ePVm5ciUgbVMikeRFinMlEkmVxGQykZ2dzcSJEzl+/LhSFRC0C9CKEuiqhbmjRo0iJiZGSbDw9vbmlVdeoW/fvvf0miSVH/VkffPmzXz88ceahas6iVxdbV9spqgTbgXqhIlx48YxcOBAWrRoAUiBrqRseeONN/jmm280iW7Vq1dnwYIFPP744/d0k1LYckxMDIsWLeKvv/4iOTlZI9A1vx712PHZZ5/xyCOP3JNrleRSWNVf9cb3ihUr8ogfCzueyWTik08+Yc2aNRrxovB3er2ezz77jIcffrhc3teqVatYtWqVZgPHaDTSunVrduzYoQSpJJWXXbt28c477wC5IkKRzNCuXTsGDhxI//79cXFx0bwuOzs7T6JPcnIyAQEBHDhwgDp16jBu3DglUFgSkpOTOXDgAOvWrSM4OFixcXVCr3lxj65du+Ll5cXAgQOpWbMmDRo0ULqaiteeOXOGqKgovvvuO0JCQrhx44byevPjqatVyo3ze496PKssgV/1WmjcuHHcvHkTKysr1q9fT9euXZXnLVq0iC+++EIjppTCXAnA/v37WbZsmdJ5B3I3WAYPHsxrr72Gm5ub8reXXnqJ3377DUBJTHJycmL58uV06dJF8UsFfUfU36P//e9/7N69W6lGLdZhYrPTw8OD9957j169ekmfd59SHIHuypUrlfV1QdxtI9E80bMg1GIf9do/v+rV+f0v1mjqREw1kyZN4tVXXwVkIbl7ybvvvsuXX34J5C1+UhUEuikpKfz555+sW7eOK1eu5En4gTu+19PTk4cffpjnnntOSbSQNnZ/oh5rf/zxR3bt2kVgYCCZmZkAdO/enc8//zzf13744Yds27YtT0e7Hj16MG/ePOrUqYNer+f27dtMnjy5TIS5ABcuXGDYsGGaQkci4W7r1q1l9dFIKoiCBLrqIm93E+jebSxXj62enp54enoydOhQPDw88PDwwGg0kpGRQVJSEsHBwdy+fZugoCDCw8NJSEggPj5eOZc6dplfwpt4jjpWL2xXXa1f+tnKSXkKdIuaWGleHEGc1zxenl/Cm/kcUx2DEnNNQY0aNfD09MTb25vu3bvj4uJC8+bNNd2kKksMQ1JyhD1cvnyZUaNGkZKSorFp4SP79+/PtGnTaNiwYYVd69ixYzl27JjGhzo7O/Pll19Sr169CrsuyR0KE+YWp2Ou+lhvvfUWX3/9tUaYCLB27Vp69ep1z99jcVDHm2bMmEFmZiafffYZIH1neSHsJjg4GH9/f5KSkhTbEXbo4uLC2rVradmyZaWPCZoLdAsS80iBbuWnMGFufqj37/z9/Rk1alSFjL9SoCtRU14C3aKugdQFPsSevDrWrxb85FccM7/iWeqi7OYdeqtVq4ZOp6N9+/bY2NjwzjvvUKtWrbu+H0nlQRTQnDRpEkePHlVsxs3NjZ9++olz586xevVqTp06pclJKiuBrtr+AgMD+f7779m2bRugFeia21+HDh1o1aoVgwcPxsHBARcXFywtLYmOjubcuXP89ddf/PXXX5q5gZgXtGnThpUrV+bpAC2pGMpToFvUbuPq/UtBQfGjggodqONHkLvOUZ/L2dmZunXrUq9ePXr06EHNmjVp3rw5bm5uynOk76w8FCTQLYsOukWxzYIEuoUV21A/Jv4X8wLzPXNLS0tatWqFq6srvXv3xtXVFV9fX8WX5+Tk8P333/PUU08B0jYlEkn+SHGuRCKp0gQEBPDee+9x4cIFIHcSVZEC3fyEuVZWVkoFFisrKzw8PHjppZcYPHjwPbkmSeXHXBgrqt+qF6gCa2trsrOzqV27NhkZGaSlpWFhYUFqaqpGOGO+yaLX63nssccYPny4svFovkiQAl1JSThx4gTTpk1Tki/gji35+fnx2muvlSjgWBLyEyjFxcWxZs0a9u3bR1RUVJ5uAOqglaWlJStWrFC6sclEtntHUYW5X3zxhabzXVGPCzBhwgT+/fdfTQcy4TPnzZvHqFGjyvQ9ieP//vvvzJgxA0AT1HF3d+fHH3/E0dGxTM8rKVt+/vln5syZo3SwVwtz+/bty2uvvYaHhwdWVlZ3DbyZ/z0tLQ07O7tSX2NmZiZXrlxhwYIFnDx5UhPkFgIPddKxwMbGhuzsbDw9PbGzsyMrK0ux0fDwcM051GJ28Rx7e3ueeeYZZs+eDUgh5b3CvOPn3bjXY1l+ayFbW1vS09OBOwVo1N1Sli5dyvr16wEYOHAgS5cuBaQ9SXLF2yLhW+3D3nnnHUaOHAnA3r17efnll4FcYa6joyOfffYZ7du3L/L51D76zz//ZMeOHRw6dAhA850TBTa2b99eqTutSEpHQQJd8+q/dxPoFkfMA+Dk5ESdOnWoX7++8rzo6GjS09MJCwtTkkPNC3Opi3kV1vVMvQ0gBG3mYh7JveWHH35g9+7dHD9+HMhbEMDBwYHHHnuMadOm0aBBgwq+2vxJT0/n2LFjrFq1irNnz2qEOur1uaWlJbVq1WL+/Pka8ZvcvL5/UN/zTZs2sWjRIk28Rfi+9957j2effTbP63fu3Ml7772XJ04JMHHiRF577bUyF+YC3Lp1Cz8/P1JTUzUC+Q4dOrB161ZlLSWpupRGoFucsXzQoEEMGzaM1q1b33Wtn52dTU5ODtHR0Zw/f56oqCj+/PNPEhISuHLliua5BXXXVRfxVI/l0q9WbspDoHu35DV1nCi/Ii3qeaW6IIx5N+eCktQLSno3T+ycPn0606dP1xxPUvUR9rpixQo2btyodPGDXHu2tbVl8uTJjBgx4p7tFUGunV24cIHnn3+e2NhYjdCufv367Nixg5o1a0p7rEDKUpirZt26dZpu8mKtNW/ePEaOHFnp/VB+4jQ5xpcvqampzJkzh3379injqBC9ODo6Mn/+/HtajLq055EC3apPYXvnoO1eJ2xV7T+lQFdSmShrge7d1kDiOyFsUKxPrKyssLKyIi0trcBrVY8BYk1kvhZSoy6ABHf2qUSRul69erF27dpSfHKSikTdoEIIu7du3Urbtm35448/+OKLLxSBbll30FXbW2JiIj/99BMffPCB8nf190dtq3DHhq2tralZsyYmk4nU1FSSkpKU15oLc2vXrs3GjRsrbYHQB5XyEOiWtpiw+b5kfvHKgnxmYUUT1L7baDQyY8YMpk2blud1kspBeXTQLU7BDRHLV9tOfk2v8itkLTCPaaqPZS74bdy4MU5OTnh4eDBz5kw8PT0BuT6XSCQFIzMdJRJJlcVkMtG2bVs+/PBD5syZw5UrVzRJuyIx4quvvsJkMjF27NhyF+gWJMwVCxaRLBwWFkZGRka5Xouk6qAO1u3evVsR5goRkJj8iyTdMWPG4OTkRPPmzUlPTychIYHo6Gh++OEHAgMDuXLlirJoMRgMmgXJH3/8QWxsLOnp6fTr109T0Q+0Ff7Gjx8PkEegK75fN2/e5OWXX5YCXYnS9UEEf8RC9fHHHy+3ZAvh71NTU4mPj8fLy0uzkBa27OLiwvTp06lduzY//PADFy9eVF4vfLKdnR3169dn1qxZdO/eXXN8SflTVGHuxo0bady4cbECHCL4bWFhwYQJEzh37hypqal5ig2cPn2aUaNGlelmn7CfOnXqALnCXBGMysrKIjo6WopzKzGBgYF88cUXZGVlaYJ4JpMJPz8/5s+fr7HFu9mleSexshDmwh2RbcuWLdm6dStz587l8OHD3Lp1SxmvRcDSvHJrTk4ORqNRea7A0tIyT+Vf8bOw4/bt2/PEE08wbtw4AOVckvJD2I2wo/j4eEJDQwkJCeH69esYDAasra3x9vbGycmJzp07o9PpsLW1VY5R3gHigtZCGRkZypg7btw4NmzYoHQrnzVrFsnJyYSHh0thrgTItdPXX3+doKAgjhw5ogi9xBr/gw8+oH79+nTr1o2goCAARZhja2vL3Llzad++fbHmc2oB7qOPPorBYCApKYnAwEBlA0ecJzAwkLVr1yqJ5ZL7DwsLC00hgSNHjmjW1WLcCw8PZ8aMGfkKdIsj5unSpQudOnXi6aefpkaNGhrfLYiJiSEmJoawsDCOHz9OQkICJ0+eJCMjg8TERCC3qJeYS+dXxVotSJJinopD3JPBgwdTrVo1jEYjJ0+eVOxM3IuUlBT++OMPgEor0LW1taVHjx74+Pjw7rvv8vfff+e76W0ymYiIiGDixImMGTOGHj168NBDD0mbu48QfmbXrl1KbFMdS9Tr9eh0OgICAvIV5z7zzDP8+OOPSsEhyO368/nnn2Nvb8/ff/9dpsJcgEuXLpGUlJSnkn/nzp3zdAeQVE10Oh2+vr7MmTNHEeiqEyb1ej0WFhZcuXKFDz/8UBHoWlhYFJrsqx7Lx4wZwxtvvKEpWmheVEltmxYWFlhZWeHt7Y23tzdwp6ujXq/n6NGjREZGcuTIEa5cuUJMTAzR0dGaJHx1IpIcy6sWYh7WvHlzVqxYkUegK2I2RqORy5cvKx28hw8fnmcvB+6elK5OqMzJycHd3Z06derQtGlTsrKygDtzyKtXr5KamkpMTAwpKSmaJExhb/kViTHvRKEuciCSl3Nychg6dKhm/STj7vcPwh579OjBzz//THh4uGJ3YlxNT0/niy++oEaNGgwZMgQHB4d7cm3Czo4ePUpUVJTymLDvey0WluRF7dPKSpgrxt7WrVtja2tLdna2Jsn2u+++w8/PL991d2VCvS6EvMIfSdkhbCYqKorg4GAAJaYiYu7PPPMMnTp1AspnDMsvhlnYeYoS83R1dWXo0KHodDrWrVunEeiqu0Tt2LEDk8nEG2+8IQW6lYi7CXPNRTPq/Dj1/d2+fTtAhQh088s7EgJd9XpJ+Ldz587x0ksvSYHufYqwh5YtW7Js2bI8Al31OujSpUvKOmjYsGF51kHFibvXqlWLunXr8tRTT+Hh4UHdunWpVq0a0dHRJCcnExUVRWBgIAkJCZw7d46kpCTS0tI0eXrqArKARvAD2k6S6jiVn5+fEh+TuUdVC2FvQqyq7rB8/Phx2rZty2OPPYZer2fDhg2cOnVKE9e3sLAgLi6OdevWYTKZGDJkSLHXHWp7qVGjBv7+/jRo0IDly5dz7do1UlNTFds038M0Go2kpaUpInTx3RHxVLFuF3lY69evl8LcSojwLa1bt2b58uV5BLpqv3nhwgW2bNkCwJNPPlmi+JHadwrb8PT0pEmTJmRlZSm2JuwvLi6O1NTUIsePINcXiv3J/OJHQ4YMUYS54piSyoWlpaVmD/3YsWP57qGHhYUpe+iFCXTvNq6L46oLbsCdvUkRe8rOztaM3aDNF71b9121CFj8E6+/fv26YptCmCuOL5FIJPkhO+dKJJIqjZgUnT9/XhHoQv4ddJ9++ulyFegWJsw1DwDNmjWLyZMnl8t1SKouf/31F/PmzSMqKkqz8AR49NFHGTt2LK1atSp04/rcuXMcOHCAVatWKY+phThi8duiRQv8/f2VqlnmmHfQXbp0KdnZ2bKDrkSDwWAgKyuLsWPHcvbsWU3gpl27dmzevBkrK6syDzaru+L+73//48iRI4wdO1bpCK1GnDsjI4PLly+zefNmjh49SmxsLE5OTtSuXRs/Pz+6d+9O48aNNa+RlD/lKcw1JywsjJEjRxIbG5unen/Hjh3Ztm1bmd97k8lEdHQ0fn5+imhCvfxasmQJgwYNKrPzScqOlJQUPv30U3bs2EFmZqYm+Ddo0CCWLFkCVB5/od6k3r9/PwcPHmT37t3K38X1qytoCgqq8qsOPKqDlRMnTqRPnz60bds2z7kl5YPwfRkZGURGRrJt2zZOnjzJhQsXCnxNkyZNcHV1Zdy4cdSpU4dGjRopfysPu71bkSL1uuzVV19l0qRJ+dqOFOZKINeerl27xowZM7hy5Uqear09evRg2rRpvPnmm9y4cUMRgD/++OO8/fbbeHh4lOjc6u/Hnj17WLlyJXFxcZruakajkb59+/LJJ5+U5duWVEJK2kG3OAlCzzzzDP/5z39wdXVVjqcu1CXOk988+NatW2RlZXHs2DGuXbtGUFAQ58+fJysri6ysLI0wUt0FzWAwSGFuJUDtb/bt28emTZs4efIkUDU76Ao++OAD9u7dS1xcHEC+AiELCwvc3Nx48sknee6557C1tdVU7JdUXS5evMiMGTMICQkpUBwG8OOPP2rmp8LeN2/ezCeffEJGRoaSZGTeZbwshblwp1DivHnzNIlNAB9//DF+fn4l/iwklQ+T6U4H3YULF3Ls2DHN+Khe+zZu3Jg5c+bQvXt3UlJSePbZZwsdy5977jlef/31Ul9bfqKb7OxsIiIiuHjxImFhYfz1118kJiYqwpF+/fqxYsUKQI7lVY2y6KBbnDnnQw89RPv27XnmmWewt7fH3t5ecz2pqano9XrCwsIIDw/n1q1b/PPPP8THx3Pu3DmNH1Z3RzFPblMXOhCJm3LO+eDw5Zdf8u677wLaxF7xs6OjI2+88QZ9+vS5ZwLds2fPMmvWLEJDQ5V1lslkwt3dnSVLltCxY8d7ch2Swpk3bx67d+8utTBXTXx8PEOHDiUmJkaTFF6vXj127NiBq6treb8tSRVj+fLlrF27VlO41GAw4OHhwcqVK2nTpk2Zns98TIyLiyMhIYEjR46QnJxMZGQkGRkZVKtWjSZNmlCrVi26du2Kvb29JtH8bsTGxvL9998rAl0RbzCfK4wcOVIKdCsJBe2di/Wv+r7NmTOHmjVrMnv2bOVv5utwneygK6lElLaDrohvF6U40eDBg3n66adp3759kXxbQkICKSkpXLp0ifPnz3Pz5k2OHj2qKY4pEN9DtU+Va6D7jxMnTjB+/HglbmQwGBg/fjxz5sxRnnPgwAFFoGteKF100J08eXKJBLpqxHr76tWr/Pbbb3z33XfcuHEjz76P+rnmP6s77FpaWtKoUSOWLVtWIWODpOiIe1iaDrrFKezWtWtX2rdvz7PPPou9vX2etXtKSgoA4eHhhISEEBkZqcSPgoKCNLlIRemuK31n1aWgDrrCBorSQbc4tunp6Unt2rUZPHgwnp6e1KxZE7izlx8VFUV4eDjJycmcOnWKxMTEPM3ThD2KuaXYg1ej/l6pG3iobbOy5AhKJJLKixTnSiSSKk9lEOiWJBkd5EJCkktkZCSLFy/m119/VYJ4YqHh5+fH7NmzlUVFfpN888D0vn37WLlyJTdu3NB0a1QnGvn4+LBx40bc3d3zvSZzga55B12QAl0JZGVl0a9fP27evKkJ8D3++OMakXhZIewyLCyMFStWcOTIEeLi4nj22WeZMWNGkQKa0dHRpKSk4ODggKurq/TDFcS9FOYKv/mf//yH33//XZN8CfDwww+zfv36snx7GkaNGsXp06eVaxEBqbfffht/f/9yO6+k+Ag7O3nyJNOmTSM5OVmT2PjYY4+xaNEiHBwcKt2msPl35JdffuGXX37hxIkTxMfHK4+LxCZ1tUqxSaROBlYnWNaqVYvWrVszfPhwevbsqTwuA4/lj7ivMTExbNy4kcOHD3Px4kXl3llZWWmC06LircDW1hY3NzeGDRtG//79qVu3rjIXLCv7Lc5aaPbs2UyYMEF5bUEbhBIJQGZmJrt27WLNmjUkJCRobMXJyYn+/fvzyy+/cPv2bWWjZ8GCBQUWICoqan/6wQcfsH37dmUdJf4OsHbt2nyLw0juL4oj0F2xYgUtW7YEKNJGonkiR1FQC4jMyc7OVjqr//3334qowmAw5EkgUlful7GpikM99v32229s3rz5rgLdF154oVJWslfPLXbv3q0UjAHthryYhwpE5+jRo0dTo0YN5XE5L6ia/PTTT8yePVtJAIZcv+fo6Mijjz5Khw4dePLJJ7Gyssrz+ps3bzJ58uQ8AjPz+aKlpWWZCHOjoqKYMmUKly5dUhKBABo3bsyaNWs0ldAl9wdFFeg2a9aM6dOns3z58kLHcrUwt6zH0/zWbMLujx8/Tnp6Or179y6Xc0vuDaUR6GZlZWFtbV2kOeeIESN48cUXcXR0xMrKSiOQUHdkLMh/Xrx4kaioKI4cOcLly5eVBExxDIEoOCuuX3Z2fnBQ28/ixYv5/PPPgdw5oFoA5uTkxIwZM+jXr1+5d61NT0/n888/Z8OGDWRkZGgKcTz99NN89NFH5Xp+SdF4//332bFjh+JDxFq7NMJccYyXXnqJ/fv35xErzJkzR+niKJHAnTHqhRde4ODBg3mKlc6YMUPTvasszqUeDw8ePMjly5f58ssvycjIIDY2tsDXtm/fHl9fX1588UWcnJyKfE5zgW5Bc4ZRo0YxZ84cKdCtQIorzBW+bNu2bXz44YfKc6RAV1KZKY1AF4oWdx8zZgxvvvmmMkctyI7U8cr81iuxsbGkp6dz4MABbt26xaFDh4iJiSEpKUlTkF0Iz6S47P7iypUrPPnkk5oczqZNm7Jz506srKyU2GZZCHTN1+SFzXuzsrJITExk4cKFXLp0SSngBrljgLlwXOR6Go1G6tevz0MPPcSkSZNk7LOKoBbozpw5k/Dw8CILdAuLH5kXa3n22WeVeWZx4kdqvx4VFcW///7LpUuXiIyMJCwsLE8HXXX8SApzqzYFCXTN99DzE+gWR5g7cOBAnn76adq2bYudnV2h15SRkYGlpSXBwcFcv36d4OBgDh8+TFJSEteuXdPk5OdX4EA8Lm1TIpGUFCnOlUgk9wXFFeiOGTOGZs2alcm5i9MxVwpzJeYIO/jrr7+YOXMmqampmkVA3759WbJkSZE3QUR3HUtLS/755x9efvllbt++rfxdHbwXyWtFuT64u0DXy8uLhQsX0r59+2J/DpKqy+XLl3nqqac0nZ5NJhPPPPMM77//frlsmAQGBjJ37lyCg4OV74qDgwOffvopXbp0KTCZqCC/Kzd17j33UpgLufOE559/ngMHDiiPi0BLr169WLt2bZmPzeJ4U6dO5a+//tIELo1GIwMHDmTx4sXKtUgqB7dv32bKlCmcPn1aE5hu3rw57777bplXSC9PUlJSiI+PZ+PGjYSGhnL48OE8gW/zwCOgBMMfeugh6tSpw/jx43FxcdEIJiTlj/AX4eHhvP766wQFBZGRkaFJIAdtBUfzCrjqIHLHjh3p1KkTL7zwQr5iiJIg10KS8ubmzZu8//77HDhwIE8XcBsbGzIzMxVb8vHxYefOnTg4OJRa1CVsNCsri+eee44TJ04o3zGRaDFz5kwmTZokBWQPAAUJdM2r/9apU4dNmzbh4uLC8OHD75mYR9hgfuuayMhIUlNT+fvvv7l58ybHjx/H19dXSdiT/rjiuZ8Eump7Cg8P57fffmP58uXKvCC/743Ay8uLiRMn0qpVK6ULNcj1enlR1mOXuPcvvfQSv/32myYRTKzvFy9ejK+vb4FJ5OIYJ06c4LnnniMrK6vQroxQOmEu3BETz58/n7i4OGWObTAYlLW69I/3JwUJdA0GA3q9XhlTra2tNXZYWMfce+GrChqz5VhetSmJQHfYsGHodDri4+MZM2ZMoXPOCRMmKJ3UintdBRWEiY6O5vr160o35/j4eGXuombo0KEsXLhQ8z4l9y/iHt+6dYtFixbxyy+/APknZVavXp3JkyfTv39/vLy8gLKdm4hjHTp0iNmzZxMfH69JTlcLfuR6vmKJjo5m4cKF/PHHH6SnpyvFUkojzFWzfft2PvjgA+V3EU8dMWKE0uVZIgEICQnh6aefJiUlRRNbt7Gx4YsvvqBt27ZlMpap442BgYH89NNP7NmzB0DTgVE9JxU/q9fP3t7ezJw5k06dOhW50EFBAl3zOe7AgQNZuHBhsb9vktJTUmGuWIuofZ54rnr8lQJdSWWiuAJdf39/nnnmGdLT0xk2bFih4jL1Wr0kqGNP5vPE1NRU0tLSOHXqFJcuXeLy5cucOXOGrKwskpKSpIDnPuTZZ5/l7Nmzim16eHjw888/Y2trq7nHRRHoTpkyhcGDB+cZu9W29uuvv9K7d2/FpvMbj8XzjUYjly9f5uDBg+zdu1fpGlkQtWvXpnPnzowcOZJGjRrl6YgqqdyURqCbX/zI3HeWNH6kbgRgTlRUFFeuXCE8PJwDBw6QmJhIQEBAnufJ+FHVpiQC3ezsbKysrIokGh8zZgxz5sxR5oJqH5tfE4D8/g53CrgdO3aM+Ph4/vjjD6Kjo7l69arSDRrIs68lx3WJRFISpDhXIpHcN1REB12ZjC4pC5KSkhg3bhwXL17ULDRatmzJggULaNy4cZE3iIVt3b59m2nTpilJ5ICmq8T69evp0aNHkY6rttfNmzezZMkSsrOzNQsZa2trMjIyeOSRR1izZo3czH6AOH36NCNHjtQEqE0mU4m6QBWF1NRUBg8ezM2bN/Msirt06cKnn34qg4iVnHstzFUzevRoTpw4ofwuxmkRaCyvLieffvop//3vfzU+HqBz585s2bKlzM4nKR3i/u/fv5958+aRmJioBJL1ej2TJ09m8uTJ2NraVvSl3hX1pozY9LGwsODEiRNER0dz/PhxpYu4qO7r6OhI9erVcXV1pVOnTri5udG1a1eZpFZBiHsXGhrK+PHjNR3q1R2d1AJr8bNIZDMvpCJo27Yt77zzDvXr1y+VPcu1kMScu93bkvqTs2fPMnbsWNLT0zVJ52pxjslkomPHjmzZsqXM7EtsYn766ad8+umnecTBnTt3ZtOmTQUmrUvuL4raQdfT01MprFAUYW55JJcV9l2Lj49Xkj+kP648lESgO23aNBo0aFCRl50v5vb377//8tVXX3HkyBHi4uKUREz1fEV8P2xtbbG2tmbkyJG0a9dO0528sMQ4SfHIysri2rVrNGvWrMz9wPTp09m/f79G7Ojq6sq2bds0gvKC7qN4fMOGDaxcuZLs7GyNqFu9nSk6WIkK5kX1peIcUVFRTJs2jaCgIOUzMBqNeHp6snHjRry9vaWfvI+5m0DXXAhe0cJcyf1NcQS6jRs3Ztq0afTs2ZORI0dy5cqVe9bZOT9bF8c9e/asktx27do1XF1dWb58eZmdW1K1OH36NGvWrOHgwYNA/usmOzs7Bg0axFNPPUXbtm2BsrWVS5cuMWXKFKKiojQx+Ro1ajBp0iTGjBmDjY1NmZxLUjqCg4PZsWMH33zzDenp6UpxjNIIc9WJ6+PHjyczM1OzpnJycmLHjh34+PiU4zuTVCUuXrzI6NGjSU9P1xQH8vLyYt++faU6tvnaJyoqikWLFnHu3DmNMBFyi2Pkl8Yp5gbCj7q7uzNy5Ej8/PyoXbt2ka7FXKBrLgbOycmhd+/efPrpp6V6z5LiU1phrsBcoGsucKhqAt02bdqwfPlyWVDjPqU4Al1fX1+efPJJdu3aRXBwcJGEuWU5tyysOGZUVBSJiYlcuHABPz+/Mj+3pGKZNm0af/75p5IvkpOTw8aNG+nWrVueYoFCoHv69GlNfKkwga7aVoQPb9myJV9++WWhAl1zG4uPjychIYFTp05x/fp1RUhuYWGBl5cXTZs2pX79+jRq1Ki8PzJJOVIcgW6zZs144YUX6N69OyNGjNDEj8rbd+bnK4UtBwQEEBsby59//snVq1epXbu2jB/dBxRHoLt06VJat25NYmIi/v7+5VJ0UE1B9qjX67l06RIREREEBgZy4sQJYmJiCAsLA6Bfv36sWLECkLYpkUiKhyx1JpFI7htEoLpFixZ8/PHHikBXHSQRC4uvv/4aoFQC3cKS0QGZjC65K8I2w8PDiYuLUxYXwnbat2+vVI0ujjA3JSWFyZMnExAQoHR1srCw0HTMFcJc9esKQt3pcdy4cQCKQNfCwgKdTkdGRgZt27ZlxYoVMij+gCEWsObCn7CwsGInSBYFe3t7XnjhBRYvXkxSUpISANXpdNy6dYvo6Ggpzq3EVIQwV/jaiIgIYmJiNMFJYbOi43dZj8/C9oUvF4FOcQ23bt0iLi4OZ2dn6TsrAeL+7927l/j4eCA3YFinTh1GjhxZJYS5kDtvEO9J/N+xY0cABgwYoDw3Ozsbk8mEtbV1gceSm973FuH7IiIimDhxYr4FKQSWlpZUr14dk8lEdnY2aWlpSuBavEZdHdLCwoKAgABmzJjBqFGjeOKJJ4qcvKNGroUkkDe5TGwwp6WlkZKSgo2NDUajEVdXV6D43ezEOVq1asVHH33ErFmzlDmDsHNh1waDgYYNG2rWLqVFHGPIkCF8/vnnSudq8b5v375NTk5Ogf5Tcn9hYWFBly5dlN+PHDmi+EKj0ajEnG7evAlQYcJcyP+7JuxWJH0UVMlaUjGofUvfvn2Vx0+ePKmxMxHz+eOPPwAqZQdd80rV3bp1o2nTpty8eZPly5dz7do1bt26pWzKqwvJZGRkkJ6ezmeffYajoyMtW7bEz88PX19fJXEov0rYkqKTmZnJJ598QnBwMKtWrcLKyqrExxL3LTMzUxG3ZGVlASixeFtbW6UojNrnFXTvxON9+vTh+vXrfPfdd3nGfvGc77//Hh8fH/r27VssX6rT6UhISODVV18lKChIEYobjUbs7OwYOnQobm5uQNnHCCSVB51Oh6+vL7Nnz1YEuiKGad6tGe79WC55sBBrmObNm7NixYo8Al0xbzMajVy5coXVq1ezYMECYmJi7umc0/wY6vlkq1atADSFNUDGAB5U2rZti7+/P2lpaZw4cSLfdVNaWhrffvstV69eZfTo0fTv31+xldLO886dO8eLL76oEeaKOWfbtm3x8/OTwtxKRKNGjRg1ahQmk4kff/yR27dv065dOzZv3lzijrnCflq3bk3Tpk05ffq0kqhuYWFBVlYWwcHB+Pj4yLFcAkB4eDgpKSlK3gNoY44Gg6HE8T9xvODgYP799182btyoxI4gtyCXoLBCRiaTSbHZ6OhotmzZQk5ODiNGjFDWMIXh6urKkCFDABSBrpWVlfIe/fz8+Pjjjwu9DknZU1Jhbn45GP7+/gB88MEHmrwj9c/bt28HqBCBrjp2L96HEOiq97GEaOjMmTOMHj2ar7/+mpo1a97Ta5WUP8IeWrZsybJly/IIdNXroKCgIK5evUpmZmaRxGVlPb6rm8KAtitfrVq1qFWrlpJ7KtdA9wfChjp06KCIc8XaOyQkhG7duuWJUz/yyCMAGoGuGOctLCyIi4tj3bp1AAwaNAgXFxfFVrZt28aHH34I3FnPjB8/nk2bNik5n+Y2Zb52qlGjBs7OzkUqPiNttOoi9pFat26t+E21QFftNy9evMh///tfPvzwQ6Kjo++p78wvfiTWdKI41+OPP655jrTLqo2lpaVmD/3YsWOaRgMiFhQWFsZrr73G+++/zwcffFBox9yyEo3nZ9Oi4EKzZs1o3ry5Yo/JycmcPn2alJQUBg4cWOpzSySSBxMpzpVIJPcV90qge7dkdPUmuExGlxSECNTs27ePmJgYpeNSTk4ONWvWZMyYMVSrVq1Ix1InaU6aNKlQYW7Pnj01wlyxCAkMDMTLyyvfwHZ+At2lS5diMBjIycmhVatWbN68GRsbmxJtlEqqLrVq1cLBwYHMzEzN48HBwaSmppaLULZz5860bNmSf/75RyO0DA0N5ddff2XatGllfk5J6amojrnC1x4/flypviuSwAE8PT1p0aJFqc9TGJ6enkCuLxWB0bCwMCIjI3FxcSnX80uKzvnz5/n3338BlCRtS0tLxo8fj5ubW6WcyxXlmsyTKNSBdfOE/PyC7jIJ494hNk1iYmJ4/fXXCQsLyyPMtbe3p0WLFjzxxBM0atRI8TEJCQmEhIRw/vx5fvrpJ2JiYpTjivFSzP1CQ0NZt24dly9fZuzYsTRr1qzI1yjXQhKB8A2XLl3ixo0b/PXXX1y7do3U1FQSEhKwtLTEwsKChg0b4ujoSJ8+ffDx8aFx48bKMe5mF+IcPXv2xN/fn+3bt+fpaCYQ65iy9FmiE2qDBg24cOGCRkAXERFBeHh4hXQZkFQMQqArbCw/ga7gXicI3Q3z74Uc2ysf5gJdcY/uJtCtrB101Tbm7OyMs7Mza9as4eTJk/z222989913ZGVlKetB9XhgMBhITU3l8OHDnDp1Cr1ez8CBA2nUqBF+fn5Kh101MnH47mRkZLB+/Xp++OEH0tLSiIiIoH79+iX67IRNhoSEMG3aNF577TUeffRR6tWrB9xJxsjKysLZ2VmJuxfH53l7e/P0008TGxvL33//rUnkgDv3+/r167z66qu8/fbb+Pn5KTahjkuK14n3mJ6eTkhICO+99x6nT59W/iZo2LAhAwYMwM7Orlifh6RqUlSBLqD8PmHCBCnMlZQLRRHoCtsMDg4GcgvKVdScM7+xQz2ey2IwDyZizO3ZsydpaWkAGoGuSMoUAslTp05x8uRJrl69yrBhw6hVq1aBXckKOx9ATEwMJ0+eZP78+ZrkYxGn8vb25q233lIKiEkqD40aNWL06NEkJycTExPDhg0bSizMFYh736lTJ2XeJ3xmeno6u3bt4oknnpBjuQQAOzs7xRbUfkXENotrJ+bxzl9//ZX169dz48YNUlJSNMU11MJcMZ6rBUCQO+aLtbOYsyYkJLBr1y5q167NU089Bdy9wJBaoPv5558TFxcH3ClOKIS5Mo5/7xCfdWhoKP7+/sUS5hZ0j/z9/dHpdLz//vsaUa46V27btm1A5RXoiufAHRGPFObevxRHoJuVlaXME4EKjbuL719+ayLpP+8PhA2J/Uz1uuLixYuax9RxfbVA99SpUwUKdE0mE4MHD8bFxUUjzBXxzRMnTjBo0CB+/vnnIu2hFqfQkbTRqk1RBLpi7njlyhUATaxTxo8k5UVhAl11sbaQkBAmTZpEdna2Zl10L23TfBwX53B0dNQUHpTrIolEUhKkckYikdx3lLdAVyajS8oKdedcyK2MajKZqFevHjVr1iyS3ZSFMHfTpk18//33jB07Fj8/v3wDNuYCXb1ez0cffUSLFi3Ytm2bFOY+oFhZWSl2pt6sTExM5OjRo/Tu3bvM/V+9evUYPHgw//zzj9I1V/jeyMhIQCbmVjYqSpgrCA4OZsuWLQCaqmtGo5HWrVsrwrbyomnTpri5uREXF6f4YOGnk5OTy/XckuJx9epVJRlBjMkWFhY0adIEqHybFaGhoURERNC2bVtsbW2L7PsKC17KhKSKRafTkZGRwc6dOwkKCtIkJObk5ODs7Mzbb79N27Zt8/guLy8vWrduzeDBgxk/fjybN2/m6NGjBAUFKX5V2LVeryc+Pp6ff/6ZsLAwZs2apVQqLcyO5FpIIkhPTyc8PJxt27bx999/ExERofxNnTwDKH/7/fffMZlMDBs2jFatWuHn51fkDWMHBwf69u1LQEAA58+f1/xNnEusq8pyDijWNj4+Ply4cEHZ2DSZTOTk5GgEPZIHAwsLCzp37qz8rhboik6gkGvTlUGYK6k6qBN5+vTpozxeFTvommM0GrG2tqZbt25069aNQYMGcf36dTZs2MDt27eJi4tT5inqjgCiw8tXX32FyWRix44duLq6MnDgQBo0aECjRo00XQYkBbN3716++OIL0tPTgTsFrOrXr19iYW5YWBijR48mJiaGuXPn8umnn9KjRw+2bdumdNBt1qyZItgtKuI70L59e8aOHUtGRkaernui4FZWVhbz5s3j9OnTdO/enUGDBmnikupOvcHBwezdu5e9e/cSHBysCHOFndWoUYNXX31VU0REcv9TVIGuXq/HycmJQYMGKY/JsVxS1txNoCv8H6D8DhWblJ7fexDI2PyDiXo++8QTT2BnZ4etrS2HDh1S9ueFQFev1ytxr1WrVnHq1Ck6derEhAkTlMLFYk6ofr7oHGlpaanY2b///stPP/3Evn37SEpKyiPMdXZ2ZvXq1Xh5eVXkxyMpBB8fH15++WU8PT2V+1aa/Wbh/x599FG++OILZS9RxPuvXbtGUFAQvr6+Mm4poXr16uj1eiWnAu7YUEpKCtHR0bi7uxfZTtTj78mTJ9m/fz8bN25U/i58mjoWKmxejOe2trZKUd+MjAzS0tK4ffu2EndSd4KOjY1l3bp1dO/endq1axfpOoVAV6fTsXDhQvr27cuiRYsAGce/1+j1esLDwxkyZAgZGRmavZaSCHMFo0aNAsgj0FX/XFkFupA71x0yZIhimzL34/6lKAJdyLUBMZaL74csoiUpL4xGI7Vq1cLGxobs7GxlDR4QEEB2dramAHpxBbrr16/H1taWxMREli9fDuTmMQlfV6dOnWKPydJPPhjcTaBbUPxI7Ttl/EhSHhRFoCvWMiIeVBkKXRd0DrkukkgkJUGqZyQSyX1JeQp0LSwsiIiIYMSIERpxkflEUSajS+6G0WgkPT2dM2fOKL+LwKKPj0+ROo6WVJgrxIwAH374Id9//z3JycmsXLmSrl274uHhke/51IHyMWPG4OzszOOPPy6FuQ8oJpMJZ2dnevTowY8//qgkruXk5JCUlMSff/5J79698+1sVppz6nQ6Hn/8cVq2bKmIM0Qw6Z9//iElJQVbW1sZeK8kFFWY+8UXX5SLMDc9PZ2//vpL2dBTV6OuV68ezz//vOY6yxqxaVStWjUlwKQuknD8+HG6detW5ueVFA8RBNy/fz+g3fxo164dHTt2rOArzGujf/zxB5s2bSIgIIC5c+cyfPhwGbiu4oh7HBMTw4EDB0hPT9cUoHBxcWHNmjW0bt06z2sAzVrHw8ODl156iZCQENatW8fPP/+sEeaK/zMyMjh58iRz5szh3XffpWvXrpoNRPPrMxdiyLXQg0lMTAybNm3i0KFDXL58Wbm/6uqmajsStiQSgHbs2AHAX3/9xYQJE2jUqBF2dnZ3tZXOnTszePBgzp07B2g7RYnzZ2Vl5emmWBrENVWvXj3P+xLV2iUPHoUJdIWvVfvQoUOHygQhSZG5XwW6wr+La+/QoQMdOnTg0Ucf5caNG3z33XdcuXKF06dP50lEVXdBDQ8PJyQkhDNnzpCTk0P37t1ZtmwZTk5OFfbeqgqic6ytrS0ZGRmcPXuW4cOHF2uuJhIgQ0JClPmgjY0NsbGxTJkyhZEjR1KrVi1iYmJKPAdUfwe6d++O0WjE0tKSo0ePKvZgMBiUx3Nycvjmm2/Yu3cv27Zto127dvj6+mJra4vBYCA0NJSwsDD27t1LRkYGWVlZeYS5AB9//DFdu3Yt9vVKqj5FFegmJCTwxhtvMGfOHDp37izj4JJy4W4CXYHaVwo/NmXKFGbOnAnIOaekYhH2qdfr6dmzJw4ODjg4OPDLL7/kGcshd853+PBhDh8+zN69exk8eDCdOnWiTZs2gDZRUh0r279/P6dPn2bHjh1KES11XDcnJwc3Nzc2btyIj49PhXwekqIjxNNinldaTCYTjRs3pl27dpw4cULxsQaDgcjISP755x98fX1l3FKCo6MjTk5OxMfHAyhFACIjI/n9998ZOXJkke1E+KsVK1Zw6NAhZR9bXThY3QlS+KqaNWvi6+tLv379aNWqFc2aNSMrK4ucnBwuXbrEt99+y549exSBhXi9paUloaGhvP/++3zyyScaoVBhuLq6MmDAABo2bKh0h5Jx/HuP0Wjk33//VeZz+RVfKa4wV1AVBbp79uzh+vXrwJ146sKFCwFpmw8CdxPoqvMrIDffY9KkSbz66qvKY3INJClL9Ho9TZo0wcfHRymobWFhQUZGBunp6XnG3LsJdIWdC4HuokWLSE1NBe74fTFHMBgMDBgwgGXLlgHSB0ry524CXfPnqeNHkydPZtasWYD0nZKypzCBrjpfU9hpZRKNSyQSSVkgdw4lEsl9S3kKdIOCgoiLi9NMGmUyuqS4WFhYYG1trWwS5xdMLMx+SiLMVScI37x5k48//pjffvtNCSKlpqZy8eJFPDw8Cjy3qOhqYWHBwIEDAaQw9wFF2FPz5s358ccfNV1sDQYDX3/9Nd26dWPgwIFlJhgTx3FwcMDNzU0TjBedU+zt7aVArZIg/EhoaGgeYa5IlnF2dlY65pZlcEWcOzAwkC1btpCamqqpSJmTk0Pz5s1xd3cHcpPF1UUMygKTyYSjoyPNmzcnLCxMk5QOYGdnVybnkZQOYXehoaFA7jhsMpmoWbOm8nNF+hZhO2fOnGHIwDudAAEAAElEQVTfvn1s2LBB8X87duygS5cuxe5KJalciHu8detWZZNPCAaqV6/Ou+++S+vWrTW2mF9VUWHPtra2NGvWjGXLllG/fn327NmjCCXUXceMRiM3btzg5ZdfZsmSJTz88MNAXpvX6/VERUUxcuRIYmNjsbGxISsrSwpzHzDCw8N59dVXuXjxIhkZGYr41rxrqPp/YWdi81mMtb/88gvBwcE8+uijjB49Gnd39wLnAsIex40bR3BwMHv27FES2qpXr06zZs2YMGFCmQpzAeWaxbggrt/CwgJbW1ulm4/kwaMoAl3B6dOnuXjxIs2aNZMbiZIicb8KdEE7dzGZTLi4uODi4kKHDh1ISUkhKCiIY8eOcejQIaKiooiMjMRoNCrrJ4PBgJWVFdnZ2Tg4ODB79mwpzC0iwjZE59y///6b+Ph4nJ2di3wMnU5HUlIS06dPJyYmBmtra7Kzs9Hr9SQlJfHll19y+/ZtxQempKQA5OkmUZTziO9Ajx49sLa2pkaNGvz6668a0Y06qSMrK4uAgAACAgKU46jnJ2LOqu68kpOTg16v55NPPlGS5ip63fcgU5EJN4UJdNXdJS5fvsyCBQt4++236dChg4yHS8oFtUB35cqVzJgxI49A1/z/7t27K8Lcsi5YJKmcCJ+ZlpaGXq+vdGtT9VjeoUMH6tatS506ddiwYYMSPxI2LcZjsda+dOkSwcHBGAwG2rdvT926dWnUqBE1a9bk9u3bZGRkEBgYSEhIiCLgEcdTF/ESwsxPPvmEBg0aVNRHISkBZRVL1Ol0ODg40K5dO44fP67MC4Wd/PTTT/Tv35+6deuWyfkklQt1XPpuMWpvb29at27NH3/8oVk75OTksGfPHlq0aKEUzFSvF8z3qGNjYwkKCmL9+vUcP35cOb7Yk1TH70Ws0c3NjUaNGvH666/j7u6uWZ/pdDrs7Oxo164d7dq1o1mzZmzcuJGwsDBlDiBil8HBwQQFBdGmTZsir2lq1apFrVq1ivQZScoHvV7PY489RlZWFmvWrFH2XTIzM4GSC3MF+Ql0xVq6Mgp0dTodn376Kb169ZLC3AeQogp0hX8TRQ0EMpYjKWtMJhNZWVma4r0Gg4EbN24QGBio7KerKUygq44z6fV60tLSAJQigqIAR//+/RVhrszFlBRGUQS66r1KgJ49eyrCXBk/kpQXd+ugC7n2K9ZFUjQukUjuF+TqVSKR3NeYC3QbN24MoAlWi0Xs119/zZYtW7h06dJdj9unTx+WLl2qdMGTyeiSkpKVlUVGRobyu9o2oeANyJJ2zBWkpKTw+uuv89tvv2kS05KTk/n5558LPTeQZwEkg0EPJsKuBg0aRPPmzZXH1b7v22+/5eLFi2V6XrFQzy+hIj09XakuKKl49Ho9YWFhDBkyRBHmCv8kNkg6d+5M7dq1Ff9VFojN6LCwMObOnUtUVJTiI4XQzcHBgRdeeCFPIre6w5/5MSFv8PJuiO+CEAGLYxiNRgYNGqTMGSQVT1hYGDdv3lTGNHHvPD09gVwbqEhWrFjB7Nmz2bBhA5A7Ht+8eVOZwwofKamaJCQkcPr0aUWYK+jWrRvt2rUDirfBLOz2pZdeYtasWXTo0EF5XNiPSEpLTEzkxRdf5ODBg5oEIzVnzpyhWrVqWFpakpmZiV6vl2uhB4jQ0FDGjRtHQEAAmZmZmoRGkfwqxnOxFheiXNERQqDX69HpdFy5coVt27bxyiuvEBISomxCmyM2vQFmzJhB165dMZlM1KlTh2HDhrFw4UKaNWtW5j5QCImio6MBlPci5hJubm5lej5J1UIIdKdOnap0WxTzULhjt6KDyX/+8x+lW4pEUhTURdz69OnDuHHjNOO4iOOoBbqrV6/mxo0bFXjVxcN8vmFvb0/nzp2ZPn06u3btYufOnSxbtowZM2bQqVMnWrZsSfXq1cnOzsbOzo4vv/ySJk2aVORbqDIYjUY8PDyoUaOGMn9LTk7m6tWrQPHWuVlZWXTv3h0PD488HeSTkpI0xToCAwOJiIgoljBXoP4OdOnSheeff55JkyZhY2NDTk6OMpcVzxGFZ8Q8RMw1xD9RbEMUDdHr9dSuXZs1a9bw+OOPK8eSyZz3ltDQUCUZXJ2cUxGoBbqdOnXSdCUTSZIWFhZcuXKFDz/8kJMnTyrrIImkrBGJ6c2aNWPlypV4e3srfg7I8398fDz/+9//ALC2tpaxofscse6+fv06zz//PL/++qtmn7GyoB5Ta9WqxauvvsrcuXPx9PTEysoqT/wAUMZq8dqAgAC+//57li1bxty5c1m0aBGffPIJBw4c4Pr168rrxbxAFEqys7OjW7durF69WgpzH2CELxwyZAheXl6KXYnHQ0JCCAsLA4q/7yOp3Ig53K1bt4iIiFDG1YKeC9C2bVsAxa+IOKQoEhgUFATkrlPUa4ecnBxOnjzJm2++ybx58zh+/LhmXWJe9E/83qdPH+bMmcN///tfmjVrpikUC7lxSfH8kSNHMmHCBCV+qhYfh4WFcejQIeUai4uM41ccLi4u9O/fn+effx4PD48yE+YKRo0axbx58wA0a2m14Gv79u3s2LGDa9eulfLdFB+1QHfs2LEsXbqUpUuXAnKP6UHEXKBbr169POsg4YPj4+NZt24de/bs0bxWIikrdDod1apVU/Z+xLiu1+tJTk4u9HViLH/kkUeYOHEi7dq1yxObVMc0xb+BAweyfPlyQApzJUXDXKBbt27dfONHgvj4eL7//ntAxo8k5YsQ6E6dOlUpdm1eyF3EcxwdHXnmmWcA7XxVIpFIqiJy9iaRSO57yrqDrggADhw4EKPRyIcffkhSUhIAr732GhMnTtQ8TyIpCNHVQXSQFEljJpNJ6SyRX1JYSYW56uM4ODjQqlUrTpw4oVyLqCodGhpKRkZGpau0Lal8qKtSNmnShAsXLmiq/ZpMJo4cOcKff/6Jl5cX9vb2ZXJe4VvVx1N3ZBPfKxmorBwEBAQoyUH5+bS9e/fi6OjItGnTqF27dqnPJ+59fHw8U6dOJTQ0VKkELDa9LS0tWb58OZ6enpw6dYrz58+TmpqqiM2cnZ2pXbs2Dg4ONGrUCDs7O6VioDqBoyjjvHjPderUUV5vMBgYMmQIixYtKtaxJOVLQkKCZiNFBKIdHR2Bii9EkZ2djaWlpSK4EHYtulRt2rSJRx55pESJ75LKw40bNzh79iyAZmPu0UcfxdXVtdjHU1fg9fPzw83Njf/973/89NNPmkrpouBQeno6L7zwAqtXr1bmkWrf3bdvX7Kysti4cSPnz5/XXKMU5t7fhIeHM378eKWIgRB45+TkYGtrS+3atenduzcNGjSgUaNGymsSEhL46aefiIiIICoqStNVVNhVeno6J0+eZMSIEfz3v/+lY8eO+V6D2IipWbMm/fr1w87Ojr59+/LII49Qo0aNPALgsiInJ4fY2FhNJx+DwYCbm5uycSnt/cFFCHSFL1R30FV3ooiIiGDGjBmsWLGCli1bVvBVS6oK6kr7ffv2Vfzm3TroTps2rUqJEMwTRcR7q127trJGnDBhAnq9nhs3bnD79m1cXFyoV69ehV1zVUOv11OrVi2aNGnCsWPHlNjj77//TqdOnYqVvO3m5saECROwtbVlz549yhhpnihpaWlJamoqP/zwA88991yJqvCrvwONGzdm8uTJtGnThrfffpvExETlbyI5XcSFILcolvo4Yu7i7OxMhw4deO6555QCOFKYe+8JDQ1lxIgRxMfHk5WVxXPPPadJzK4IhEB3zpw5mg66IoFSxM+FQPett96iY8eOFR4vkNyfmAt0zTvoqn3WhQsX2LhxIwaDgeHDh1f4d0lSfoj7GhoaypgxY4iNjSUlJQVra2seeeQRbG1tK/oS80XYrL+/P02aNOGPP/7g66+/Jjk5WVN0RsQL1B0m1eJbdTEkkcCuFmmYTCZ8fHzo3bs3/v7+SkdIyYOJsJXatWtTp04dwsLClJiWiIN+8skntGjRQtkDkFR91H5y2LBhODg4sHnzZry8vPIdG8XvQ4cOZevWrcTExChrbQsLC7Kysvj++++5efMmfn5+9O/fX8nLSEtL48cff+TkyZP8+OOPyvrDvFuZ8GMiHu/j48PgwYM1xXvV12a+LlGv/UeOHMnly5fZuXNnnm7QR48eZdKkSVhbW8s5QBXD2dmZgQMHYjAYWLp0KdOnTy8TYa4gvw66OTk5mp+3b9+uPLeiOuhaWFjQq1cvQO4xPcgUpYOuWKNfvHiRbdu2odPpGDZsmFwHScoFsT+v3vc5duwY/fv3L3BfUh3TfPTRR9HpdGzcuJHjx4/nyeEUvzdv3pz33nsPkMJcSfG4Wwdd9dzy3LlzfPHFFxgMBp588knpNyXlyt066Io4TnJyMhMnTmTp0qW0atWqAq9YIpFISo+cwUkkkgeCshToqhcugwcPxmQy8frrrzNr1iwpzJUUCwsLC5ydnalfvz6BgYEAyqLj+PHjXLlyRen2LCgLYa7A19dXOaa6s1VwcDC3bt2qUomckorDZDJhbW3N9OnTOXz4cJ5Ny+zsbNatW4eHhwd+fn5lkugoFur5dQRq3rw5zs7OpT6HpOx47LHHmD9/Ph999JEigBWdRcTPu3fvBii1QFcEqZOSkhgzZgzXrl3TCHOFr6tevTqbNm3i7NmzpKWlFdrpxN3dHVtbW1q3bk2LFi1o1KiRUkHbwcFB81x1RxXzBPNWrVpRrVo1MjIypDC3kpKdna1JkhD2IpK7K/peWVlZ0blzZ7y9vQkNDdUkd1haWnLz5k1CQ0Px8fGRieVVEHHPRLcGa2trRZDt4OBAmzZtNM8rDmq/1L17d5ydnXFycmLHjh0aga56TTRjxgxWrVpF9+7dleOI78CgQYMwmUxs3bpVmcPKIkX3N7Gxsbzxxhv5CnNr1qzJSy+9RKdOnRRRrqB169YADBgwgPj4eBYvXszRo0dJT09X5orCl1laWpKQkMALL7zA3Llzeeyxxwos7GJhYcHQoUN55JFHcHZ2zlNAo6w5ePAg586dU84hxoV+/fqVSGgkuf+wsLDQbC6qBbpCKGZpaUl4eDgvv/wyK1eupEWLFhV4xZKqhDqRp0+fPsrjdxPovvDCC9SvX7+Crrp0mFfFFnEHAB8fHznPLQFCyCI6vovx/Pz586SlpWFra1usz7VWrVqMGDECQCPQVRd2EePl77//zsCBA/Hy8lJstjior8ve3p5HH32UnTt3snv3bv755x8uXLigEQRDbqElMV8Rv+fk5NCsWTOmTJlCmzZtlCJacv107wkJCcHf35/4+HgsLS1ZtmwZBoOByZMnK0m2FVUhX91BVy3QVXf2FQLdjz76SAp0JeXK3QS66udcuXKFrVu3AkiB7n2K8I2hoaGMHDmSuLg4rK2tCQoK4rPPPgOotAJd9Zy2U6dO+Pr60q9fPz7++GNu3bpFZGSkkpip3j9Qj+HqWK0Yt83juA8//DATJkygTZs2eWL3kgcTk8mEvb09U6dOVQrJ6nQ6xW5u3rzJhQsX6NKlS4XOPyRlgxj3QkJCGDVqFMnJySQnJ/PSSy/xySefFLgmMRgM1KpVi6lTp7J06VLS09M1c9LMzEz++ecf/vnnHzZu3Ii1tTU5OTlkZGQQHBysWY+I/Ugh1hE/5+TkYGVlxfPPP0/37t2VfUa10Kww1NczfPhwfvvtNxITE5VCBQCXL18mISGhTAohS+49NWvWZPDgwXTu3JnmzZsDZbvXkp9A12AwVCqBbmG/Sx4s7ibQFd8No9HIpUuXlHWQFOhKyhIxRjdt2hQHBwcyMjKUeGdYWBg6na7QeKKIj1pYWPDII4/w559/cvTo0QJfEx0dzffff0/v3r1lkSFJsTEX6L7yyitERETkGz+6ePEiW7ZsAZACXUm5UxSBrqWlJaGhocycOZOVK1cqOe0SiURSFZGjqUQieWAwF+gK0aNYgIhkSYCvv/6aLVu2cOnSpUKPBTBkyBB++uknJk+eDMhkdMkdREAmMzPzrs8VQkKxOSMEjadPn9YcqyyFuXCn85k6CU0EltQJdBKJ2NArCNGx1svLi8mTJ2Nvb68kR6i78L3//vscOHCgTK5JCDlCQ0Pz/K1GjRplcg5J2WFvb0+/fv144403sLe311R5VP+8e/duPvvsM27dulWi86iFuaNGjeLq1at5hLmChIQE/vnnH5KTk5XX6fV6pQOKpaWlshkeHx9PSEgIP/zwAx9//DGTJk3Cz8+PiRMnsmrVKr788ktCQ0NJTEzMU9Va7Uutra3JyMhg4MCBUphbyRDjZXJysmYsFAix5N384b2gc+fO9OvXTyMahjv2f+vWLf766y+g/ARqkvJHjG3CdxmNRmxsbHB3dwdKfm/V65fmzZszYcIEpk6dCtyxH3UHEjF2v/rqqxw5ckQ5htiYARg8eDCjRo2iXr16vPrqq1KYex+TmZnJtm3bOHfunGYjOScnB1dXVz777DNGjhypCHOFnampWbMmPj4+fPbZZ7z88stK8pkQCokENUtLS5KTk3n33Xf55ptviI+Pz/eaTCYTtra2eHh4lLs4NjExkd9//x2dTqeZL9jb2+cRI0sebIRAd8qUKXTt2hXQdnVSC3RnzJjB+fPnK/JyJVUM9Tjep08fxo8fT4cOHQCtL1ULdFevXp1vQauqiHr+I+e5JcPCwgKdTscTTzyhKdB3/PhxRdxaXIRAd/jw4bi6uirF/9SFqnQ6HWfPnmXFihXKdZR2XWU0GqlXrx4vvvgiW7duZfr06Ur3KkAR4xqNRiVWWr16dZ588knmzp3Ll19+yYABA5SYqLhWyb1DiCViY2OxsrLCaDSSk5PDqlWrWLt2LZBXpH+vUQt0O3funCf5V8TwhUD3xIkThRZ+k0hKg1qgu2LFCry9vRWfC2g69Vy+fJmtW7eyZ88ezWsl9wcWFhZcu3YNf39/4uLisLKyIicnB71ez6VLl/jss884cOAA6enpFX2p+aIeb+3s7GjTpg1r165l4cKF+Pn54eTkBKD4U71er6zFxbxCjPdij0g8t2fPnrz22mts2LCB7t27S2GuREHYXZ06dahbty6QOzc2mUxERUXx3XffKY9Lqi7mwlzhJ/V6PRcuXOCVV14hNDQ03/ssHuvWrRvdunVT8i/EOKru4H3p0iUCAgI4d+4c165dA1DihSKmLx6DO+N0zZo1ad++Pdu2beM///mPEhtVj+dFQVxDo0aNcHBw0OwRif3QguKpkqqBs7NzuQhzBaNGjWLevHlA7r6QupmFyWRi+/bt7NixQ7FviaSiMBfo1qtXr8B1kBDofvXVV5rXSu4v4uPjlbyNe4GwtXr16il5TiKHKDw8nPj4+Hz3RAUidgSwfft2du3apTmuOk/T0tKSuLg4Vq1axd69e+V4LikRaoHu8uXLqVOnToF+88KFC2zZsoVvvvkGkH5TUr4Ige7UqVPp3LkzkP8eelhYGDNmzCAoKKgiL1cikUhKhSzjK5FIHijKsoOuEJ7p9XqlaqBMRpeAtnr1li1beOWVV7Czs8uzuSLspWvXrhw4cAALCwsMBoPSWWfXrl34+flhbW1NVlYW1tbWZSbMFddoa2urWYiLRM7Y2FiZbP4AYO6zoqKiMBqN3Lp1i9q1a+Ps7IyNjY3y94I6iYhjdOvWjT/++IOjR48qfxNCi/T0dGbNmsXKlSvp0aNHqa/9xx9/5PLly5ouQdWqVWPQoEGFXqukYrCzs2PAgAGYTCY+/vhjTQdddUVeEZB+/vnni1XZ+W7CXCCPX1R30lU/zxwhNhc+2sLCgvDwcMLDwzlz5gwArq6uWFlZ0aVLFxo3bkyrVq3w9fVV/CzcSVyeOXMmU6ZMAeScoTIhbEIUyzC3h8TERIAK74IjbGbkyJHs379f2RhXd5QICAjQPFdSdTAfs4QNGo1GkpOTSU1NLXViofocXl5e+Pv7Y2lpyaeffpqng66FhQUJCQm88cYbLF68mI4dOwK5GzN6vR4/Pz9atWqFj4+Pcq3S7u4fxDgZHR3NwYMHSU9PVzadc3JyqFGjBkuWLKFNmzb5dow3R9jVuHHj8PLy4ssvv+TgwYP5dhdNTU1l6dKlpKWlMXTo0DwVokszxyvqHFE87/Tp0/z+++/KJrkQY/Ts2ZOHHnqoxNchuT8pTgfdGTNmyA66kmJh3kFXzBXu5w66krJHdM4VXZuys7P566+/6NChQ4k6hRXWQVfdafSnn36iWbNmSlfU0swbxeusra2xsbFh+vTpANy4cYPk5GQuXrxIdnY2BoOB6tWr4+PjQ40aNahXr55yDNkVreIwF0tkZ2ej0+mwsrIiMzOT5cuX89BDD9GqVauKvlTZQVdSqRC+s3nz5qxYsYKXX35Z00FXJFgajUZFoAuyg+79hsFgYNGiRcTExGBjY0N2dram46IQ6ELl7aArEHNbR0dHunTpQpcuXTh37hzXr1/nm2++ISIigpiYGNLS0hQBrphfAFhZWVGvXj3atGlD7969ad++vaYQstwbkphTr149nnzySRYvXqyI2oWY8pdffuGxxx7j8ccfr+jLlJSQgoS5wn9YWVlx7tw5JkyYwLfffouDg0O+fsLHx4fRo0cTGRnJpUuXNMWw1IWpQbtGF38z7/5tMplo27YtTz31FL169aJWrVoaH1WSsVnkjNSpU4eQkBDlvCaTiZSUFCIjI2Ws6T6hvOZuo0aNwmQy8cEHH2j26NW5chXZQVciUXO3DrrqdZDsoHt/c+PGDaZMmULHjh2ZMmXKPYt3GwwG7OzscHd3JyoqCrgz7wgJCSE8PFxZg5ijHu+3bdvGhx9+CKDkeaqLcYo5qYWFBfHx8axbtw6TycSQIUMKPL5EUhDmAt2ZM2cSHh6er98UAl2QHXQl5c/dOuiaC3RlB12JRFJVkTuEEonknpLfBP5eT+rLUqBr3iFPLk4kYtEQFhbG8OHDSUpKom/fvkrVHzXCXlq3bo1Op1M2A+FOYs/58+dZtGgRc+bMwdramqSkJKZOnVpqYS7kCnlcXV0JDg7WBH5sbW2VCtWS+xN1wgbAN998w6VLl/j5558xGAzExcXh6emJs7MzQ4cOpUOHDvj6+t41oaFx48ZMmDCBoKAgkpOT84gv09LSeOmll/jggw/o06ePIvwtbrJESkoK//zzj1IBXpzH3t4eLy8vQHY9qYzY2dkxcOBAgDIV6BYmzAWtLYhgorpDpKiyrxbritepHxOb6eK46qrXiYmJ5OTk8N133ykVMN3c3KhXrx5du3bF0tKSKVOmSGFuJUf4JHVFSJ1Ox+XLlwkLC6Nu3boV6luEzTg6OlK7dm2uXr2qSQwBCAwMJCUlRXaHqIIIv6D2MaIDva2trSahp6zs0N3dHX9/f6ysrFixYoVGoCs2Bm/dusWSJUt45513lIrt6o0ZKcy9fxF2tmXLFoKCgpQuNWIdMXbsWKVrY1FsUoy3Op2Oxx57DEdHR0wmE4cOHVIS3dQbL+np6axZs4asrCyGDRuGh4dHsd+DOF9iYqJSfKio3x+dTselS5d49913SUxM1BT9qF+/Pv7+/oC0fUlepED3/kY9DqvXEvdqjqheo/Tt21c5rxToSopK27Zt6dSpk5L4APD3338zffp0rK2tS2TPBQl0Qbu2+uqrr3B1dVUSfUr73VF/HwDFxlu3bp3nueqiXequV5J7S35iCXE/RHx7zpw5lUKYKyhIoCvWbnq9Xgp0JfcMKdCVWFhY8Pbbb5Oamsrx48eV8UzcW7GOrUoCXci9/pYtW9KyZUv69OlDTk4OV69eJSIigvT0dOLi4jAYDLi7u+Pg4IC7uzvNmjWjWrVqmvmEFOZK8kPYWL9+/di3bx8BAQGK3wRIT0/n6NGjPP7449KGqiB3E+aq55qjRo2ievXq+R5H3PuHHnqIGTNmsHr1aoKCgsjOztbsOeZXEFj9T5y3cePGdO/enVdeeQUrK6s865eSYm1tDdwRHIvrEP8sLS2xt7cv1fElDwYitq0W6BoMBs1+vRToSioLUqArEWN8fHw8ycnJ2NnZ4e/vT4MGDcr93BYWFlhYWNCxY0fOnj0L5Harj46OBvKuQQoT5qrnEc7OziQlJWn2SC0sLIiLi2PdunUADB48GBcXl3J/n5L7C7VAV/hNKdCVVAYKE+iKJgJSoCuRSKo6cgSVSCT3DDFxj4+P5/z585oKUJAbwBaB7fLEXKDbuHHjPNcgEii+/vprtmzZwqVLl8r9uiRVG3XH3JEjR5KUlATAzp07SU5OLvB1vr6+mmq8RqNRSV779ddf2bVrF8nJyUybNq1MhLmQ2/1PnEcsvg0GA9bW1tSoUaNkH4Kk0iPENikpKezfv58XXniBN954g82bNxMdHU1CQgJwp4vuuXPnWLZsGRMnTmTPnj1kZmYWeFxhe7169WL27NlArmhS/XN6ejpz585lz549hIeHA7mdyIvKzp07+fbbb4FcYS7AxIkTZcfnSo4Q6M6ZMwd7e/t8bQRg165dfPbZZ9y6davQ491NmCuCiyJpXnS7E4Jg4feE/Yk5iaWlpWYzHbQdd8X/4nUioVRdtCMyMpJjx47xySefEBQUpLluGcisnHh4eODh4aHcf7hznyMjI5UK5BWNyWTCzs6OUaNGYW1trblOYftZWVkVfJWSkiDupSgIJPyP0WgkPj6eAwcOaJ5XVjg7O/Pss8/y4osvAnf8mblY4cKFC6xfv56QkBDlMXM/Jv3a/YfJZCIqKopjx45pxjij0Yi1tTVdunRRksCKiroIRseOHRkxYgRt2rRRjqsWvIl54+eff853331HXFxcsd+DEOZu2bKFV199lW3btinvTZxHnFvdMT0tLY3jx48zdepUoqKiNHMLKysrHnroIZo1awZI2y9vzNcI6vtUmREC3SlTptC1a1cAJcFC/KwW6J4/f74iL1dSRNRdcjIzM/MU7FNTnPVtcVH70j59+jB+/HilWIK6q49aoLt69Wpu3LhRbtckqTrodDpcXV2Vny0sLAgKClISF0s61xQC3eHDh+Pq6qoZ18X/ISEhfPnll4poXG3LpXk/5qiPqe5qVdDzJfeG/Drmwp0xU8T15syZw/jx44Hy9aPFRS3Q7dy5s6YztIipqwW6J06cUN6TRFLWmAt0vb29NT5XzAEARaC7Z88ezWslVZu6deuyaNEi2rdvr8xPxb0176B74MABpcBpZcZ8XW1tbY2DgwNt2rRhwIABPP3000yZMoVp06bx9NNP88QTT9CuXTtsbW3zzCXkWC/JD2FjtWvXpmXLlgBK/FP8v3XrVk6cOCFtqIpRFGGueq45ceJEIP/4knp90qtXL1577TWGDh2Kg4NDngLrovOymA+KQlnW1tY4OTkxa9Ys5s+fz+zZs5UiSOIcZfGeAZKSkjT+02g0KnuVEklR8Pf3Z+7cuYB2X0jELU0mE9u3b2fHjh1cu3atIi9VIskj0K1Xr16B6yAh0P3qq680r5VUTdLT03nnnXeIj4/H1taWxMREvv32W7Zv387169fL/fxiDBfxVPGYyWTi4MGDmueInwsT5oqY0qBBg1iyZAkdOnTQrOdEvEl00P3hhx9KtD8qKT+qyj6luUC3bt26BfpNIdD95ptvAOk3JeWLEOhOnTpVaXalLoZsLtA1z7eUSCSSyo4s3SuRSO4JIjB+48YNxo8fT2xsLG3atKFGjRp07tyZRo0aUa9ePby8vPJNbhWvL8tqpWXZQVciAZSOuSNHjtQkGp05c4b4+HgcHR3zrS5VrVo12rdvz759+5TFr1jMx8TEsHPnTjZv3kxoaGiZCHPhzqImLS2NqKgojXjNYDDg6emJg4ODrA58HyIWs9HR0axevZrDhw8TGhqqJG2IQKAI+un1ejIzMxVBbXh4OM888wx16tTJc2x1xd+nn36alJQUFixYoKm2qhZaLF68mLNnzzJo0CB69OihKdSgtjv1dyYrK4utW7eydOlSQCvMbdu2LQ8//HB5f4SSMqCgDrrmFXnv1kH3bsJc9aa7ra0tbm5u9OrVi3r16uHs7AxAbGwsqampnD9/nvj4eGJiYggLC0Ov12u6VIrjiYQn80676ir/4jUiYDl06FAWLlyoPC79auWlRo0auLq6EhkZqekOmZOTw44dO2jdujWOjo4Veo3CfpycnDQiXPF4TEwMV69eVWxcUnUQ91Dcu+zsbI2/CA4OLrdz16xZk2effRaDwcDq1as1Y7eYC/z99994e3szfvx4nJycyu1aJJUHnU7HjRs3lCJV6k24xx57TBGCleS46g66YWFhXL58maysrDyFL8S8ce3atdja2uLn51csP5yens6+ffv47rvviIiI4MMPP+TkyZO0a9eOp556CisrKyWhTnDkyBH++usvvvvuO+Lj45XvgphXNGnShEmTJskO5fcAsQ64desWoaGhdOnSpcy6jNwLZAfd+wtx77Kzsxk7diyRkZG0aNGC1q1b4+npSceOHbGwsMDNzQ3ITf4ur+666u9Cnz59lDVLYR10dTod06ZNkx10H2CEzQwePJg///yT7OxsZf0cGBhY6uMX1EFXvT4+c+YMu3btwtbWlm7dupWLX1cfSxbRqBzkJ8wV4vCChLn36t6JOWdaWhoWFhbY2Njk+zzZQVdSmZAddCW1a9dm6dKlzJo1i1OnTinrWjGmqgW6UPk76JpTHPuUtiwpKsI3Tp8+nUOHDil+02g0KnsAmzZtwtvbW1nXSSo3BQlzSzPXVK9POnbsSIMGDejfvz8rV64kJiaGW7duaYr8ibVHzZo1cXd3Z9iwYbRt25bmzZvnuc6yQq/Xc/XqVS5evKjs6Yv3W6NGDTw9PcvsXJL7n/w66IoC17KD7v2LiB1mZWVhaWlZZeZTsoPug4mtra2SK5SRkYGFhQUpKSlKM4fy7qArxvru3bvz3//+l5ycHCWeGhsbC2ibEhVFmNuvXz+WLFkC3NnHNBqNnD59WhPXVwt0QXbQrQwIH5KTk4OVlZVyvyozsoPug4H5faoK++iyg65EIrmfkbuCEomk3FEHxkePHk1sbCw6nY7Tp09jNBr5448/MJlMODk54ePjQ+3atenZsyfOzs60aNECe3t7JSlCLX5Rd7MrKVKgKykrRCfGt956i7i4OGxtbZXA0M2bN/n0009ZvHhxnkWrsLUJEyZw6NAhDh8+rPxNLHSFGEP8XlphLtxJFL58+bLSAU3YO0CXLl2oXr166T4QSaVDLGIjIiKYPXs2Z86cUTYo1fcf8lZ6E35w7dq13L59G39/f3x8fPKcQ71pOW7cODIzM1m2bJlG5CN+zszM5Mcff+To0aM888wzPPnkk7i5uSlJa+pEEoCjR4+yb98+peOZEKrrdDqsrKzo06ePXIhXIQoS6Jpv+BUk0C2OMLdv377069ePnj173lVIk5CQQFhYGHFxcfzzzz/ExsZy6tQpEhISFL+rTthQVxYUP6u79A4ZMkQR5srAZeVG+MhOnTpx7tw5TdAP7nQbSUpKwtHRsVIE2lu3bk3jxo25fv06BoNBqSAIskNEVadRo0Y0atSI69eva8bjr776ioEDB9KxY8dyOa+rqyvPPPMMaWlpbNq0SamULnxXcnIy3333He3bt6dHjx6V4nsgKT/EPOzChQtA7lxQbNa5u7trnldczOeMhw8f5uDBg+j1ek3FXrEeT0tLY+XKldjY2DB06FCqVat213MYjUZOnTrF1q1biYiIUJLzfvnlF3755Rd27NhB3bp1adq0KQaDgZiYGFJTU/n7778BNPNXMa9wdXVlyZIlMsntHqCOI/n7+2Npacn8+fN56KGHKo1Atyh+UAh0xbWqBbrqzcXw8HBeeuklVq5cqXTxkVQe1H5g7NixnD59GoBbt26xf/9+ANzd3bG0tKRz587UqlWLdu3a0bhxY2rUqIG9vX2B3XVLsz5Qfxf69u2rPF6QQPf3338HkALdBxhhh6LgmpjvGQwGfv31V3777TeNLZWEwgS64lx//fWXYvvlJdCVVB4qszBXjMOhoaFMmzaN8ePHM3jw4ALnmgUJdIW/BaRAt4py8+ZNzp07x0MPPVRlivBIga4kP4Eu5PrRqi7QlUjKGlGU2MHBgaFDh7Ju3Tql+KWIq589e5azZ8/y2GOPydhnJaewjrmlnWuq1yUuLi50796ddu3aERUVxeHDh7l9+za3bt3CZDLRsGFDatasSZs2bfDy8srXZspyvBV2eeXKFXQ6nRKz1el05OTkULNmTTw8PMrsfJIHA39/f3Q6He+//36+OR05OTlKfoYU6FZ9xBr2+vXrzJ8/n6lTp9K+fftKtTYwL4yuvjYp0H2wEPerc+fOfPPNN0ps8V4LdOFOkXcx3gp7CwwMJCYmBhcXF00Oc2HC3P79+7N8+XLluL1798bCwoINGzYoAl11bqgQ6Op0OgYNGiQFuhWEuinVSy+9xPz582nZsmWV8ClSoHt/I+5PdHQ0oaGhdOzYscrst0iBrkQiuV/RmczVFxKJRFKGiAlgaGio0k1ULZ6BXAGNmFip8fb2pnr16rRu3ZrmzZvj6elJu3bt8q1iXppuFOI158+fVwS6kBt8Vwfwn376aSnQlRTIL7/8wiuvvAJoN28aNWrEypUradiwYYGdQffu3cuiRYu4efNmHhsWr1Hb4tq1a+nVq1exhbkAt2/fZv78+XzzzTeapHMrKyvmz59P//79q8RCTVI0xP0NCwvjueeeIywsTLm3Ikgo7FAEFNUCQ3PbGzZsGGPGjCmSH1y3bh3Lli0D0Ph/cU5Bq1at8Pb2pn///ri6umJhYYFOpyMkJITffvuN8+fPExYWphxHHcAcPXo0b7/9NlA1KoBJcklLS+Pnn39mwYIFmg666o6lAM8++6wi0BW2mp8w1/x1/v7+vPbaa0pipXquIIKM6sfzIzIykuTkZI4dO8b58+cJDg7mwoULWFpakpGRoTxPbIQbDAZFmLto0SJACnOrEr///jv/+c9/gNxxVXTCeeKJJ1i5cmVFXp6CwWDAz89PmbMCim1v3bq1xB0tJZWDF198kX379mlsEGDkyJHMmDGjXIuoXL16lS+++EIpTKQW9hgMBpo0acKOHTtwcHCQvu0B4K233uLrr7/O00185cqVPPHEE6Wed6kTyp577jliYmI04lyBOK+9vT0LFiygb9++d7W/Gzdu8PrrrxMYGJinWqyw54JQJzWL17i7u7Nx48Z8C9RIyhZzYW5sbCw2NjbUr1+f1157jYcffhio2Hm/sN3w8HCCg4N55JFH7vr8Y8eOsXbtWo4cOQKgxMDUa606depIgW4lw7xj7unTp5UiPcKXCB+pTmKwtLTEysqK2rVr0759ezw8PJRiQV5eXlhZWeU5l/A5xR1b1d+F3377jc2bN3Py5EkgdxxXJ6L37t1bCnQlfPDBB2zfvl0R7+Tk5DBw4EDmzZuHo6Njqf1rVFQUX375Zb4ddMUY/OijjzJ27Fi6desGyHjO/Uh+YgnzuE1FCnNFrHTMmDFERkbi6urK66+/Tt++fQstBmMymQgKClIEuqK4oEigFEUQGzduLAW6VYDQ0FCGDBmCvb09b775Jo888gj29vYVfVlA3nhlft8R8diFCxfyCHRBG4Nv0qQJY8aMYfjw4QUeT1L1uHXrlkagK/ZMxL01Go00bdqU559/Xgp0JZL/5+LFi0yaNInY2FhlT0f4y7Zt27Jt2zbNuk9SuShMmAvavJ6ymGsW53XlaTNivWQymRg7dizHjx/Pk8vk7+/P3Llzpe1WEOJzT09PR6/X58lnq+zs2LGD999/H9DmdKi/U6NHj5YC3SqMOn9z1KhRxMbG0r59e15//XVat25dKfyGWAPdvn0bGxsbrK2tC10HnTt3Lo9AF7TroKZNmzJmzBiGDRumea2k6hAYGMioUaOUfCB1HMbBwQE/P79yFeiK/J8xY8YQEBCg7O1YWVnx9ddf06RJE+W5RRXmipw8MZYfOHAgj0BXHUt1cXHB39+fsWPHVpmiYvcL5k2pYmJi8PT0ZPXq1TRr1qxS+JSixI/EdycwMDCPQBe0frN58+aMHTuWJ598ssDjSSoetW0OHz6cJk2a8OKLLyqC16qy35KTk8PRo0dZu3Ytx44dA3L3NsXPOTk5eHl5SYGuRCKpEsgRUyKRlCuiatAzzzyTJzAuFqDid7UATCQrhIWFce7cOXbs2MHcuXOZMmUKQ4YM4dlnn2X58uXs2LGDK1eukJKSUmi3MLUALD/MO+g2btxYuUbIraIO8PXXX7NlyxYuXbpUBp+Q5H6jU6dOdO/eXdPx02QyceXKFaWjirmNqrtFdOnSBQsLC81rBervy7p16+jVq1exu+SJ4125ckVJ1hSBnZycHJo1a0a/fv2KdUxJ5UadbDZq1CjCwsIUfyYSh9VdF8XfjEajklQsjiN+/uqrr9i0aRMXL1686/mnTJnC3LlzAZQkPHWVLnHMs2fP8uOPPzJjxgz8/f3x9/dnxIgRvPrqq+zdu5eIiAgAjQjTaDQyaNAgRZgrNtAlVQc7OzsGDBjAnDlzsLe3V4LQkNuxDmDXrl2sWbOGsLAw9Ho9t2/fvqswd8KECcydO1eTUCmOrfbR6sfVCH/p7u5OkyZNGD16NAsWLGD79u18/fXXrFy5kpEjR9K3b19q1qxJtWrVyM7Oxmg0MnjwYCnMraK0aNGC5s2b5xnH9Xo9J0+e5Oeff67gK0Tx22phmbheKysrmWRXhRFrlkGDBuHg4KD4JjFG79+/n9DQUADN/S9LfHx8GDZsGL169VLOIzZjLC0tuXz5MnPnzlXmj5L7m/T0dCB3XaBeH6sfLynCxmvWrImbm1u+xxQbz5aWlqSmpvL2229z7ty5QgW2OTk5fPXVVwQGBirnEfEHdfEZIZ4w/yeeI+arLVu2ZMuWLVKYew8QY+6NGzcYPXo0sbGxWFtbk5mZyZUrV1i8eLHS3Vjcq3uNWpg7ePBgnn/+efbt21foaywsLOjcuTNTp06la9eumuOo12ERERHMmDGDc+fO3Yu3IikCQpg7YcIEjTDXaDQq61vxT+1H4I4PvXbtGl999RWrVq1izJgxPP3000ycOJHXXnuNTZs2cfLkSa5duwagiCQh19/eLZ4J2u9C3759GTdunFKoxTyRR3TQXbNmDTdu3Cjrj0tShVAnqwk7O3LkCBEREXmKqZUE0UF3+PDhuLq6akTiYvz/888/2bJlC//++y9QcX5dUj7k1zEXqHTC3FGjRhEZGUm1atWIjY1l/vz57N+/X1OMzRx1B93OnTsrc0eRNCQ6RYsOuidOnFDes6RyIew0IyODuLg4Pv30U/744w9SU1Mr+tIUO7116xYbN25URB7m/lndQXflypV4e3srPhdy59eA0kF39+7dmtdKqjaig2779u2VGI763qo76B44cEBZ50skDzLNmjVTCm2LrqNwZ/0XEBDAxx9/DKBJVpdUDgoT5oo5WFnPNQt6XX62UZ7zWWGnO3fu5OzZsxpBj3jPPXr0KPfrkOSPsLHr16/j5+fHu+++y08//aT8DcpvT6esGDVqFPPmzQNyRWPm+SPbtm1jx44dSixLUnUQMULRWEXE3U+dOsX8+fMJDAys8LWBecOBVatWkZWVVeg6SHTQrVevXoHrINFB96uvvtK8VlI1MJlMWFtbY2VllaersrqD7vbt27l+/Xq5XINodCIKE4g9c4PBQFBQkPK84ghzLS0tNbHQRx55hEmTJikNi9TNNSwtLYmLiyMmJkYKc+8x5nPPmJgYqlWrxs2bN5k8eTIXL168a0Ho8kb4zsjISLZs2VKg3zTvoFu3bt0C/abooPvNN98A0m9WRsxF48nJyZw4cYKNGzdWmv0WsUYpLM4OuR10p06dSufOnQE0uUjmHXTVflcikUgqIzIiI5FIypXMzEw+/fRTEhMTNRVNgHwTYEVwT2yEqLuFCiIiIrh48SJr167l/fff59lnn2Xw4MFMmzaNFStWsGvXLq5fv05kZKTyGvVkDfIPlkuBrqQscHV11STlqMWHe/bsKVDMaDKZcHJyYvr06TRo0ECxN/Pupjqdjp49e9K2bVtNQltR0el0JCQksGjRIqV6oKjm7+rqypQpU5TfJVUfYSMRERFMnDiRmJgYTadkg8GAjY0N7u7uTJ06leXLl/Pdd9+xaNEipkyZokmYA60f/Oabb9i8eXORBLr+/v4sXbqUevXqYWVlpbFdkTAikkaECD0rK4vs7GxNcrPYVBXfryeffJIlS5Yoxynu90FSObCzs2PgwIG88cYbikBX2Jn65927d7N161YuXbrEiBEjNMJc0CZ4Pvfcc8yePRsoWkJ7fph3rBTnsbKyomnTpvTq1Yt33nmHTz75hC+//JKdO3fy6quv8vrrr7N48WLl3HITvGrh4eFBu3btFD8DKD/Hxsayb98+4uPjgZLbVmnR6/VYW1tTrVo1ZRw3mUxkZ2djMplwdHSskOuS5CJsQySgFxXhL3x9fbGzsyMnJ0cZG8Wmyty5c0lLS8uztioLxLqnXbt2DB8+nKZNm2oeF3PbU6dO3VWIJqnaCOFZZmYmkGubwuZiYmLK9Hyurq6aAkEmkwkrKytsbGwUuxPz0OTkZKZNm0ZoaGiB3wNLS0seffRRJk+ejJOTE9nZ2Zrvkvp9ijiEOLc6NuHp6cnAgQNZsWKF7DB5j9DpdMTHxzNu3Dhlk1vcP6PRSHBwcIUKdNUJQiNHjlQS22fOnMmvv/5a6GulQLfq8tprr3HixAlsbGw0sR5A87+4j+J/QJmrifV3eno6x48f54cffuDjjz9m/PjxPPvss4wbN46ZM2fy7bffcvToURISEpTXm6OeowpKItBdvXq1FOg+wDz99NM0bdpUGQtFktf7779PSkpKmaxjpUD3waUgYW55iCWKi7kwNyYmBisrKzIzM7G0tCQxMZF33nmHH3/8sdD4eGECXTGXFALdBQsWSIFuJSQ0NBR/f38lKV2v13Pt2rX/Y++842u63zj+zk6IJIIg9g6t2IratLV3zBCrZqkVqmipWbPUqFGbqlKbDj9F7b2FmgmJ7IQMmff3h9f3OOfmJrKX7/v16qtx7z3fc849z/2O5/t8nodVq1ZluUBXbaddunRh2bJlbNiwgdevXycZmO7k5JQsge7WrVulQDeXkZhAV4ypUqArkbxF/C4+/vhjmjVrBrz1D4n+8OTJkxw8eBCQiayzE4kJc8W+SGYngckK23jy5AnHjx/n9evXiv9BJPpq2LCh4geQZC5q23Rzc+Pp06ccPHiQ8ePH88UXX/DTTz8RFhaWI/oTfYGuEJep9+ulQDdnYmJiwuPHjxMkNjA2NubGjRtZLtDV97vfvHmTP//8k59//lkKdN9zjIyMyJ8/PzY2Npp+VO2HyWiBrpg/lixZEnibVDg+Pp67d+8CKRfmqu8vMYGu8EvFxsbSqVMnvv32W831SDKWxOaewofo7+9P//79uX37dpbFKqr7zs6dO7Ns2TI2btwoBbq5HEOicQsLC+BNFe6tW7dq9luyArHn7enpSdu2bd9ZBEMKdCUSSW5CRopLJJIMxdzcnC5dutCiRQulwpd+1RpDFSYSq8wjNkeMjY2VbJDR0dH4+Phw+vRpfvrpJ7799lv69OlD165dGT16NHPnzuWPP/7g6dOnvHr1Cki8uq4IEJICXUlqEHYyYMAAateurRGcAwQEBPDgwQMgoaBH2F6xYsVYunQpNjY2xMTEKL8X0b5Op+PkyZN8++23XLp0STk2uWJaX19fRo8ezbVr1xTngMjq1qhRI6pWrQoYriIpyVmIvtLPz48JEybg6empEebGxsZia2vLsGHDWLlyJWPHjqV169aUKlWKDh06MHbsWLZu3UrZsmU1DsGUCnSFrbdt25Y5c+bQvn17bG1tNRlXRaCI+L2o+2h1hndh56VKlWLkyJHMnTsXQFNtVZIzMVRB15BAd/PmzfTr1y+BMFcd4Dlw4EAmTpwIaJ01aUVddRe0Tu9SpUrh5OTEoEGDGDhwICCFuTkR0d90796dkiVLap6xeP5HjhzRbNxl1eaHl5eXwUQ0+fPnJ2/evNIxnoWoneELFy5MsWNYp9NRokQJRowYodl4E/O1O3fusGDBAmVTJT1tUD3et2zZki5duii2pR6rfX19+d///pdu55VkP0RQV548eQA04y1AYGCg5vW0IGxOJBYQ/65SpQrOzs6a6n1iHurv78+UKVPw8/NL9HdQq1YtBg0axJIlS3BycsLW1lZpX4h/RTIkU1NTRegrfA4NGzZk6tSpTJkyheLFi6f5PiXJJzg4mDp16mBlZaUIEMSaIS4uLssq6CYm5jE1NSUmJoavvvqKI0eOJNmGFOjmTAYNGkSZMmWIiorS+CzhbZ8CJPBniv5LBOGIRITiP2E7r1694vz58xw+fJjJkyfj5uZGt27d6NevH9OnT+fw4cOcPXuW8PBwZfwX54O32afV/eWnn35K//79kxToHjt2jJUrV2ZYRQFJ9kXYbPny5QGUOaeJiQmPHj1i//796baekALd9w9DYgnR52VXYa5IBCgIDw/n9evX7/Q1JibQFcFqYs557949xo0bx9OnTzP6FiXJxNfXl88++4yAgAAsLCwUAXl2EOiq7bRPnz4EBwcTGRnJrl27WLduXboKdH/77TfNsZKcjSGBrnpMzY4CXbXdybFfklmIfrFIkSI0b94cCwsLxQ8m8PT05PDhwzKZUTYiKWEukC3mmhmFun/cuXMnJ0+eBN4mAxP+zOrVq5MvX76susz3Fn3b9PPzw9zcXHluR48eZdmyZbi4uLB06VIlvkeQHRPmGxLo6v8tBbo5k59//llJTiQE/kCWC3T11+oBAQGYmpry9OlTdu3axYYNG4iKijLYn0uB7vuBmZkZ8NYXrx4bM0OgK+ypdu3aSgJPsd6KiIhg06ZNqRLmqtvXF+jWrFlTmd907NiRefPmKfebE5I95HQSm3vqJ94LCQnJsn08Q/6jsLAwdu7cyYYNG6RAN5eSlGhcaClEcl4fH58suUa1bbq5ufH8+XOmTZvG0aNHkzwuKYGueg9dCnQlEkl2x0gnPd0SiSSD0el0XL58mXXr1nH8+HHgbdCP/oJRv0sSk0b9irfqham6sp16saAOhBABIA4ODtSsWRMHBwcaN26Mra0tpUqVwsrKSnMNoo0bN24wZcoU/vvvP8251CKgrl270q9fP6WylOT9RiwGVq9ezY8//qiIx0QgcZkyZdi+fTv58+c3eLxYoFy6dIlhw4YRFhamOFxEtRVhe7Vq1aJJkyYMGTIkQTvqTJai+tC9e/dYvHgxN2/eVIJ/xe+rVKlSLFiwAGdn5wz9fiSZy6tXr/j+++/Zt2+fYjfChuzt7VmwYAG1atXC0tISeOvIE5t5xsbGeHh4MGfOHK5evaoE1OlnIO7cuTNubm44OTkZvA51v+rv78+9e/dYuHAhT58+1QSBqH8vwjbVNg9vRHONGzemZcuWgKyYm9uIiIjg8OHDzJ07l/DwcIMCXOEIFPOApIS50jYkqeHly5eKECKxMXjhwoW0a9cO0PZxmcWlS5dwc3NTfh+ib+7cubOSuECS+Yix09PTk27duvHy5Uu6d+9Onz59UrxWuHPnDjNmzOD69eua6qCimuewYcPo2rVrhvRz6qCl7777ju3bt2vERMLulixZQuvWrdP9/JLsw/Tp09mxY4ey6SHmiJUrV2bLli1YW1un+Ryi3T/++IPx48crm9aDBw+mcePGfPXVVzx//lwjwtXpdOTNm5d+/foxePBg8ubNm+Q5QkJCuHz5Mn///Tc3b97k4cOHCT5jZWWFsbExLi4uVKxYkS5duqT53iSp5/79+2zbto3ff/9dSVqlL+gqX7487u7uNGzYEMjY8TgpMQ+ApaWlsq75448/3llpOS4ujgsXLrB69WrOnTsHaP1kYs5RvHhxFixYQI0aNTLkviTJx8PDgy+//JKnT59q1ij61WsFomKivkjLkOhQXX3X2NhYST6lDtA0MjKifPnyWFlZ8dFHH1G6dGmcnJyoWLEi8DZASZ8jR46wdetWLl++DJDgt2RtbU3z5s0ZMWKErBD+HnL79m1cXV2JjIzUBNY0bNiQZcuWkSdPnnQLZvf19WXHjh389ttvBAQEJEi8ANCsWTP69etH/fr1gaxZZ0nSRnYWS7xLmKu+xokTJyqJ15KDTqfjzp07fP/991y4cEHpz9XnbtmyJcuXL0/3+5KkjsDAQIYMGcLt27c1fmjx3OLj4ylbtizDhw+nefPm71xvpBeG7NTc3Jzo6GgASpQoQfv27fn88881e5pq1D59MXdRr6XUyTwqVqxI3759cXFxAWS/m1vw8fFh/PjxXLlyRZMsW713XqlSJYYNG0bTpk0TtaWMRh2Y/urVK/LlyydtUJJpqG3N3d2dAwcOGPR9Dh48mAkTJgC5Q+SZU0lKHJEVFXMzE7Wtbtiwge+//x4ggV+iQYMG/Pzzz4rPQfalmYN6P0gICtXrIDEHE34+4evp1asXVapUUeZg6rayE9u3b+e7774DSHSv1NXVld69e1O2bNmsvFRJChg/fjyHDh3SxFuo54nOzs58/fXXODs7Z4pNJrZWF1VJ4U3it06dOjF69OhE90TFb+jWrVuMGzcOT0/PRNdBVapUUQq+SHIGgYGBuLi44O3tbTDOWPhh4uLisLa2plOnTvTp04cyZcqk63XcuXOHXr16KWJxfZFiaoS5hu4F4MSJE8yfP58PP/xQGf+z41iRG0ltUpjM5F3+o1KlStGxY0cGDx6Mubm5wTaEvd24cYNx48bx7NmzRPvNypUr4+bmRqdOnTTHSjKXpGxTf47m7u7OoEGDMv0aDdmmlZUVkZGRWFhYsHjxYlq0aJFkG7GxsZw/f57Vq1dz4cIFwPAeeokSJVi6dClVqlTJjFuTSCSSZCPFuRKJJFNITKBrKLuzo6MjRYoU4eLFi5r3xOJG7WxWLwQEaqezWkQmFkkCsfhwcnKicOHCVKpUiZo1a1KgQAEqVaqktOHh4YG7uzsPHz7UiH+lQFeSFC9evKBr164EBgYqtm5iYoKFhQXTpk2jU6dOiTpOhO2dOnWKMWPGEBYWpllMqQPXjIyMqFu3Lq6urpQrVy6B49vX15enT5+yZcsWbt++jbe3t6ZaaWxsLFZWVixfvpyPP/44U74bScYjpneHDh1iyZIlPH/+XLNALViwID/99BMffvhhku0IGw0ICODzzz/n7t27mmxpKRHo6hMWFsaJEyc4deoUp0+fJiAgwGCGNRMTE4oXL0716tVp06YNTZo0SXB9ktxFREQEhw4dYt68eYpAVz8DIZDAuSSFue83oj/QT96i3uhIjpNYfObRo0d0796dsLCwRMUyM2bMUMbOzHJAi2DRH374gdWrVyeoiD5mzBiGDRsmHeJZgDoQo1evXkplUYBu3brRt2/fFK8V1q9fz/z58wGU+ZsYK2vWrMmoUaOoV69ehjxrYVfh4eGMHj2a06dPJ1gHde7cmZkzZyaoLiHJPRw8eJBJkyZhZGSkBN8AFCxYkNWrV1OlSpV0G3MPHTrE+PHjlQ3tpk2b8tNPP3HgwAGmT5+eIGmHTqejQoUKfP3119SvXz/ReaH+66GhoXh7e+Pv709QUBDGxsZYWlpSuXJlzMzMKFKkiPJZ2ZdmPurv/N69e2zfvj3LBbrvEuaq56OjR49mxIgRyW43MYGuqOocExODm5sbkydPTtd7kqSOpAS66nVymTJlCA4OJiQkRHO86CvVyQ7EvwVqoa5a4KtOTiDes7S0xMHBgaJFi9KgQQMKFixI3bp1yZs3L/nz51faOnnyJKtWreLq1asJzqEW6A4fPjzdA5Yk2Zf4+HgiIyOZMmUKf/75p6aCPMAXX3zBF198AaRf3yoFurmbxMQS6mQDatFrdhXmTpgwgcGDB6f4GvUFuurqUh07dpSBlNkQf39/Jk6cyNmzZxMNTM9MgW5SdqpO4JE3b17Wrl1LzZo1E20rpQLdrl274ubmlqH3J8lcDAl01f1PVgt01cmFR40aha2tLePHj8fe3l6O/ZJMQ/S7Pj4+fPnll9y4ccNgDMjXX39Nv379ADk3zQpSEoA+adIkBgwYoDkut7Bt2zZmzpwJJBTmOjo6Mn78eNq2bSttNAt48eIFzZs3Jz4+3mBFPTX6Cck/+ugjmjVrRvPmzSlZsqTyenayX32Brqi2ql5DSYFuzkC9Xz5mzBj++OOPLBfovmutrhbDzZgxgx49eiTZXkoEugULFmTJkiXUqVMnw+5Pkj7odDp8fX3p0aMHfn5+QMJYYXWSzIwU6EZHR+Pq6qpUSlVfh/r3lBphrvp+xe/Rw8NDib/LTmNDbia1wtzs4udU+4/y5cvHunXrqFatWqJtJVega2RkhJOTE926daNPnz6Zcp8SLam1zcxcHyRlm+piLAsXLqRNmzbvbEsIdM+fPw8YFuiWKlWKxYsX88EHH2TGLUokEkmySN6sTyKRSN5BUhM58V6tWrWU144fP65MyMSkSThXChQowJw5c3j9+jUeHh6cO3cOT09Pnj9/jre3t9Kmum39dgRiESwc9Grhbnx8PLGxsdy6dYsbN27w999/Y2xsjKmpKVWqVMHOzo5GjRpRrVo1Ro0axbJly3jy5InicBQBk7GxsezevRtACnQlwBu7K1KkCAMHDuSHH35QFj+xsbHExsZy7NgxOnXqlOjCXPyWGjZsyIoVKxg5cqRSQVdkCFQHsJ0/f56bN29iZmbGhx9+iI2NDa9fv0an0/H06VM8PT2VTRr1cerqf5ktLpJkHOpg3T179iQQ5ubPn59ly5bx4YcfvvN5CxuNi4sjIiIiwfvqfnDPnj0AyRLoCodo27Ztadu2LY8fPyY4OJjHjx/j4+OjBAjnzZuX4sWL4+zsjIWFRYKMbtL5mDvJkycPbdu2BdAIdNWVo0TGSSnMfX/R779ev36NhYUFL1++5NWrV1hYWJAvXz5iY2OxsbEB3o6vSfV9Yo5YtmxZRowYwQ8//EB0dLQyfgo79PHxYeXKlVhYWFC7du1MyUiuFmicPXsWQLme2NhYHB0dlUzbcizPfAw5w0U/tWvXLoBkC3SFLQ0cOJDbt29z6NAhRZgthItXrlxh27ZtFClSJEOENKIfzZMnD506deLevXuK4FjY3bFjxxgxYgQlSpRI9/NLsgcODg4J1hHwJpB9y5YtzJ07Vwn0TW2/I8btJ0+eKOeJj49Xgt/bt29PVFQUU6dOVTawxTr/v//+Y9OmTdSvX19T3VeNOvjY2NiYfPnyUblyZSpXrvzOa5N9aeaj/s4rVapE7969ARIIdEWQxYMHD1iwYAHwZv2c3uNxSoS5KRXzmJiYULduXeXf586dIy4uTlMZoFOnTlKYm0kkx26cnJxYunRpAoGuvt2VKlWK5cuX8/DhQ65fv46Pjw+XLl0iKiqK0NBQTZtiPa0W4aqDeoQPUi2oFXYXGxuLp6cnnp6eyuZ0wYIFMTc3x9nZmVKlSuHk5ETNmjXp0KEDtra2SsJE0Z8bGxsTFhbGsWPHAKRA9z3C2NiYvHnz0qBBA/744w8lMELY5C+//IKTkxMtW7ZMtz61cOHC9OzZE0Aj0BUJF+Li4vjnn3+Uz9evX19WfsohJCbMhbdrh/Hjx+daYS686Z+rVKnCpEmTWLBggZJ4Qwpzsy+FChVi/vz5GoGuus8xNjbm0aNHrFq1CiBDBbrvslP1nHPo0KFJCnPh7ZpKf+4i1kxq279//74muZgkd1C0aFEWLVrEhAkTuHz5MiYmJpo1s7GxMffu3VPsOzMFumphbr9+/bh48SIODg7ky5ePIUOGSIGuJNmk1U6E77NAgQJ07NgRb29vAgIClMq5op+cM2cO+fPnp3379nJumskkVTFXnZwVYNq0aYpQIDvOuVKa9EVtY+oEnvp7paampnz88cdKnIe0zcwnOjqavHnz8urVK806SD/ZeVxcnLLHI57x+fPnuXz5MqtWraJ///5UqVKFJk2aJPBnZyXCN/vdd99pCmmIv2NjY9m6davyWSnQzb6oi6H88MMPGoGu/jroxo0bzJkzJ0MFuslZqwvB0YQJE94pzIW366APP/yQxYsXJxDoinuNi4ujXr16UpibQxDJgyMjIzXxwABlypTBy8tL4183MTEhLCyMvXv3AqSrQNfc3BwbGxtNElk1aRXmwttYFWNjYyXuTtivJGPJ6cJcQBML/PnnnycpzIW3SWKdnZ2VflMt0FX7j+7evasI5CWZS1LrIsgZtqm+l+TYkYmJCR999JHy7/PnzyvniI+PJy4uDnNzc54+fYqrqysHDx6kWLFi6X5fEolEkhqkOFcikaQZMZELDg7GzMwMa2trzftqR05iAl2xYH39+jXXrl1j6tSpzJ8/n/bt29OuXTuMjIzw8/Pj0aNH+Pj4cObMGUJDQ7l27RoRERHKRE5dKVdd5VZdjUIs1tWOe7XANyYmhuvXr6PT6ZSgNScnJ7y9vRNMGKVAV2IIsbCpVq0aefLkITQ0VJOd+q+//uLAgQO0b98+yXZ0Oh0fffQRW7ZsYeTIkYo4Xb2xIpwwUVFRREREcPbsWY0DSP2bEJs1ohKGhYUFixcvpkWLFkpbctMm5yOe4cqVK5Uqd8IBY21tzdSpU5UAnuRUkIyJieHIkSP4+/trXhe8S6BryK7EprcYP0qXLk2ZMmXemfFf8v4gBLpGRkbMnTs3gUBXPX5XrFiRkSNHAm/Fi5Lci+g3hHjhzz//xN/fn7/++ouXL18SEBBASEgIefPmxcrKCgsLC6pXr46joyNt27bFzs5OUxXRkENS/Lthw4ZcuHCBf//9VxFeiPfj4uK4ceMGq1evxsTEhBo1amR4cI5od+3atdy4cUOzyRQbG0vNmjWxsrLKFhv27xtivJw6dWqizvCUCHTVG2/9+/fn+fPnXLt2TVnfiHXL0aNHsba2ZuLEidjb22fIvRkZGdGoUSO2bdtGQECA0hebmpoSGhrK6dOn6dmzp7S7XEr16tVp2rSpRswlnvOxY8c4dOiQMl6nFtGHnTlzBng751Nvlnfr1g0vLy9Wr16tbLKL38nx48dZt24dgwcPTlbSGbWdqpPayHVQ9iQrBbqZIeYxJNAVG/0dOnRg3rx5KW5TknLUvslXr15ha2ub6GeTEugKjh8/TqlSpZg8eTKffvopAIGBgURFRXH69Gm8vb25dOkSnp6ehIeHExYWpqmOK5ILChvXTzAj7E68pw7aDA4OJi4uTvEfAdjb22NtbU1UVFSC+xH9ulqgO2LECEqXLp2Gb1SSExD25OLiwj///MM///yjscPg4GAOHz5MpUqV0jURixTo5j4SC1hTPy8bGxvMzMyIjo5OkHgvI8ksYa5ACHTd3d356quvKFWqlBTmZnMSE+iK55UZAt13Ba+p7dTd3Z1BgwYB77appAS64j2Adu3aMW7cuHS9J0n2oGjRoixcuFAj0AU09n3//v1MFegaEuaampri5+fHwYMHMTIy4vPPP88wH5ck9yD6zpCQEPLkyZOm+YW5uTmtWrXi3Llz/P3335pkSKIPnj17NlZWVkriGjk3zXiSCkDX//7LlClD7dq1gewV6/DixQv8/PwUYVty5oPq5MMPHz5k165dbNiwAXg7J1An7apUqRLDhw/Hzs4uo29Hkgj29vbUr1+fv/76S1nTwpt97o8++ojjx49rBDNqhK2GhoayYsUK4uLi6NChAw0aNKBFixaauLustG1DAt3Y2FhNjMgvv/wCQPfu3alYsWKWXKfk3WQXgW5K1kApXasnJtAVMaTx8fEyiVYOJCoqKkGCA51OR4MGDQgNDVUSD2akQFfYygcffMCpU6cUAbn4zaSHMFeQ2HghyThyujBX38+ZEv9RUgJdff/R2LFjM/5GJRqSsk0jI6NsbZuGfj+TJk1SrvFdJCXQhbeJmurXry+FuRKJJFshVxcSiSRNiInc48ePadWqFZcvXzb4OX2B7uDBg2natCmAsoBWC23Onz/PhAkT8PX1VY51cHCgXr16dO7cmfnz57NmzRp+/fVXduzYweTJk+ncuTPOzs6YmppiZmamOFbEIkGII/UXviLwSJ3JEFCqBQB4eHgQERGhXKe6Qq96Mb179242b97MvXv30u9LluRYateurVSwE9VOxOL1+vXrgFbkqI8IBKlcuTIbN26kRYsWFCxYUBGZqzNV6VdrEf+JdsTvLD4+HktLSypWrMiqVaukMDeXEhQUxPnz5xV7gzd20Lx582RngBQ2FRQUxK5du4iIiFAyrANKEIX4rOgH9+zZw6ZNm7h7965y3sTsXH1t70I6xd8/8uTJQ5s2bfjqq6/Imzev4lCHt8k24uPj8fDwYOHChXh5ecl+7D3A2NgYHx8fVqxYwaBBgxg/fjzz5s3jypUrPHjwgJcvXwJvNmkCAgJ4/vw5hw4dYu3atQwcOJDevXuzd+9eZRxOqm+pWLEi3bp1UwLC1PZnbGxMTEwM58+f58cff1SqlSXV56UH9+/f5/Tp08DbebhwOnbt2pU8efLI/jILMDIywtzcnPHjx1O5cmViYmIMjpG7du1iy5YtyVoriOdYqVIl2rZtS6FChYC3WXdFm3v37mX58uVER0dnxK0RHx+PnZ0dY8aMwcrKSlkziSCTK1euaK5XkrswNzdXKsyqN5h1Oh2hoaEcPXqUBw8epPk8x44d4/Hjx5q5puh71X2c2ocgxOpGRkacPHkST0/PFJ9XvV6SZF+EQLdLly5KVVl1tvu4uDj+++8/FixYwKlTp4C0j8cZGSCkjxDoDh06lPr16wNvKkaLqigyQChjEc86JiaGESNGcO3atXceI0QupUqVSrBGEePzpk2bmDJlijJe2tvb4+joiIuLC19++SUbN27k4MGDrF+/nm+++YYhQ4ZQtWpVypYtq/gy1dXyRNtqf496TSTOI9bxIomBqakpQUFBeHp64ufnlyDZm9q/JAS6K1euVKqZS3Ivalto3LgxefLkUWxZ+A//+usvTpw4ASTtv0wpQqDr4uJCwYIFNdUmxDX8888/bN68mbNnzyrXm5HrLEnq8PT0NJitH7R9TGhoKJs3b2bNmjVERUVpArsyiswW5gqMjIyoXLkyP/30E8uXL0+XNiUZixDo1q9fP8FeIqAR6B47dozw8PB0O3dKKuZOmDAh2YGVAn2BbqlSpZT90Pj4eDp06MDChQuVNiVZg7oCYmKk9vkIgW6tWrU0iV1Ee2qB7vHjx4mMjEzVeZJDYsJcsTcZEBDAgQMHWLRoUbr+ziS5D3Xf2bhxY7755ps0+UV1Oh0FChRg/Pjx5M+fX7FVsbduZGRESEgIc+bM4X//+x8g/UgZzbvEEer1MMCzZ89YsGABZ8+eTRDHk1X4+fnxyy+/MHXqVJYtWwa89Z+Lfl+Mx+JveDsH2bp1K3PmzNEIc9Xr/djYWKWPd3R0zOzbk6iwtrZWKnoK8bROpyM8PBxnZ2f2799PnTp1NGtfNbGxsZqExPv27WP69On07NmTXbt2cfPmTeBtv5NVc7bevXvzzTffKNcsxnBRtSwuLo6tW7dy586dLLk+SfJRr4V/+OEHWrVqpdiVuv9UC3Rv3LiRbraX0jVQatbq+gJd4cMVayApzM15iCSX6vHd0tKSrl27MmTIEFq3bq2MleokgEKgu23bNh4/fpymaxC20qhRIwBiYmIwMzNLd2GuJPPJ6cJc/WtMjf9IX6BbvHhx6T/KBryrYq56zMyOtqkvHp4wYQIDBgxQrjE5CIHu0KFDFaGu8CMJ21y5cmWK2pRIJJKMxkiX1V4piUSSY1FPAPv164evry9r1qyhcePGiQr91BmsLl++zLp165QqPOoKuuKzderUYeHChRQuXFjj5FM7H/Unk48fPyYwMJB///2XwMBArl27RmBgIKGhoZr2RVvqiitqZ5P+9avPa6jrVE8mu3XrRq9evfjggw9S+rVKcgnCrm7cuMGECRPw8vIC0ASb/fLLLzg7Oye7rcDAQP78808OHjzIlStXDFbF1UcsxESmziJFitCyZUu6du2qBNpLYW7u48yZMwwcOBBAE2yxfPlyWrZs+c7j1X31sGHDOHHihGaTpWrVquTJk4crV64o2bhAu/Dv1KkTrq6ufPjhh5o2JZKUEhERweHDhxNU0NUPpuzRowfDhg2jaNGiWXzFkozC09OT8+fP88MPPxAYGKi8LgK49auWgXY+JwJqAAoWLMiKFSuoVq2awXOp+6yNGzcqlev0KzgLkWSVKlX44osvaNy4MZAxDs/o6GiWLFmiBGSos3APGTJEVjrJYoTN3L59m6+++or//vsPwOAY2bVrV/r16/fOCrqizbCwMObNm8e+ffs0Ae/qNl1dXfn6668zxNGu0+nw8vKiT58++Pv7a5JrfPjhh/zyyy9yAzsXIuzv9evX9O7dmzt37iQQRAK4ubkxZMgQChQokKrzvHr1iu+++44DBw4orzk4OLBjxw4cHR01/fG+fftYuHChZgwQ89zvv/+ejh07pvZ2JTmAe/fusX379gQVdNXVzSpUqIC7uzsNGzYEUrcGedcmd3oECCV23n///Zf79+8zZMiQdGlTkjRqYa6bmxtXrlxh9uzZdO3aNVm24+HhkaCCLmhtpHv37nz77bcaexVzUjGHFYSFhSnJ3Hx9fbl69Sp37twhMDAQb29vzdxP3x+kH5ws0A9K1q/Cq1+tNz4+nnz58tGyZUsGDx5MuXLl0vANS3IKERERuLm5cfPmTU2FidjYWMzNzfn555+pU6dOuvdJvr6+7NixQ1NBV3+e0axZM/r166ckL5C+pexDYgFrAnUSFDFfc3R0pGvXrgwePBgLC4sMG+eySphrCGmzOQd/f3+DFXTVe5Fly5Zl+PDh6VJBNzPtVBzj4eHBmDFjePLkiawWlYWo52HqtczTp095/vw5r1+/Jjo6GhMTE+zt7alYsSJGRkaa6nmG5pJJ4ePjo6mgK+aNavuuVKkSw4YNy5AKuokJc0Wwr5h/xMfHa8Q/kqxF3TcIm8vqcU3dd/bt25cXL14Ab6qhTZo0KdUVdMW9nj59mi+++ILIyEiNwEPMTRs2bMh3330nxZAZyLsC0PXXvGKdbGpqqgRt161bV/lsVthrVFQU+/fvZ+HChYSGhgJv1jXt27enfv365M+f3+Bxnp6ePHjwgA0bNnDjxg2ioqIADPob7Ozs2LZtm1yzZxOio6OZPHkyhw4dUvpNsXf466+/UqpUKS5fvsz69eu5fPmyRkijFmur7Tk2NhZLS0uMjY3p27cvNWvWpEmTJso5s8q+t2/fznfffadcvzpxnFqUJsn+qIWD6gq6QIJ5orOzc7pU0M1sv7s47vbt2/Tt25dmzZqxaNGiNLUpyRp2797NlClTNAmEjY2N2bVrF1WqVOHGjRts2bKFI0eOaCroinmctbU1nTp1SnMFXfHbOHHiBEOHDgXeJDmOjo6WwtwcSk4X5qa3/0jY+I0bNxg/fjxeXl7Sf5RFvKtibnYX5qa3bcbFxXH+/HnWrl2rJHSVtimRSLIrUpwrkUhShZjQeHp60qtXLyU4dujQoYwdOzbJCU9aBLqJbTiK8xk6b1BQEK9fv+bevXvcvn2b58+fc/bsWaKioggODtZ8VkwKxaag2Hw3FLSmv4EqjhcLtJkzZypVUyXvL3FxcYwdO5a//vorQYBb9+7dmTx5MpaWlu90ngs7i4uLIzIykjVr1nDx4kWuXr2qfEbYr6iWqhZvFC1alLJlyzJ27FiKFy+OnZ1dRt2yJAsRdjJ//nzWr1+v2dT58MMP2blzZ4o2alavXs2qVauUCoDx8fEUKlSILVu2YGZmxuTJk7ly5YqS8Qq0TvN27drh6upK9erVNdcnkaSUiIgIDh06xLx585IU6Hbv3p3hw4dLgW4uQd1nHD9+nF27dnH27FmNDajnZ4YSqRgS64pN4hkzZmBjY5Po+dXzyh9//JEVK1YAhgW6xsbGFCpUiHHjxmWYOGzNmjUsXrxYuQZh99WrV2fChAnUrl07Q84rST4ZIdAV9hUSEsK4ceM4c+ZMon3ggAEDmDRpUobd39ixYzly5Ijmd2dra8uBAwdwcHDIsPNKsg5hf7/88gs//vgjQUFBBu152LBh9OzZkyJFigApm/MtWbKE1atXA283satXr87q1auxtbVN0N6XX37Jn3/+mWBtVbVqVVatWkXBggXT9TuQZC8yWqCbVcJcwbuS0UnSD7Uwt1+/fopvxd3dXckqnhySK9CdPn26wedpyD71XwsJCeH69ev4+flx8uRJgoKCePTokcanqRbrivtTC+L0K+YmJtpVB56PHDmSUaNGJfu7kORMxG/h8uXLfPnllxqRrLDjggULsmHDBipUqJDufp3UCHQlWc+7svUntg6HjBfoiva8vLxwdXXF19c3y4S5kpyHIYGuEGZB+gl0s0JALo69efMmR44cYeLEiWluU5Jy1N93eHg4d+/e5a+//uL69es8efJEEXGpcXR0xMHBgQ4dOlCpUiVq1aqlvJeScdmQQFd9PRkl0H2XMFddaapDhw7Mnz8/xfcmSR/0v3P1v0VlsKzEUN9paWnJ69evgTeJCydOnJhqgS68sdft27ezaNEioqKiND7YEiVK0KdPH1xcXNKcoEFimHeJI4RwMbG5ZlYLdMW5Tp8+zVdffZVgfM+XLx/58+enVatWFC1aFEdHR2JjY7l79y6+vr78+eef6HQ6Xr16pdyr6CPV9+no6MjatWulMDebsXXrVmbNmqVJbBofH89nn33GlClTKFSoEAC7du3i4sWL7Nu3TznWUCJ+/Uq5tra2VK1aFVdXVypUqECxYsWUz2b2fE4t0BW/UfUYLueXOYfMFOhmld9dHP/s2TOKFy+eLm1KMg9hN99//z0bNmxQ1hEAxYsXZ8uWLRQuXBggUwS66jH55MmTSpLVdu3aKVVFpTA355BUUhh938z7IH4UiP7/8uXL/P3333z11VdpblOSMnK6MBcyZlwXAt158+ZRunRpli1bluY2JRKJJCOQ4lyJRJJixCRcPQEUQbS9evXi22+/TXYbSQl01Z9JjkBXv32xqWdoAhYaGkpUVBRnzpzBx8eHS5cu8eTJE8LDwwkJCdF8Vh2QpM5cKFAHsIkNxDZt2ijiCcn7i7C9Bw8eMGDAAPz9/TWiofLly7Nlyxby58+fqs2hwMBAbt++zenTp7l+/TpBQUE8f/4cU1NTbG1tMTU15cMPP6RatWp8/PHHlC9fXjqB3gN0Oh2DBg3izJkzGnurXbs2W7duTXY7Z8+eZdGiRdy6dQt4KwT79NNPmTJlCoULF+a///5j2rRpXLt2TZNcQb3I/uyzz+jTp0+WZyqW5HxkBd33C3VfsWfPHhYtWkRQUJAixNKvPKauEi7QF/CK9uzt7Zk0aRLt27d/53Wo550i8YG6bdAGGgOMGzeObt26YW9vn6CN1Nw/wIYNG5Ssf+oANisrK8aMGUO/fv1S1L4k48gIga6wocDAQPr06cOTJ08SFQD179+fCRMmpOucT8xpv/32W3799Vfl92ZkZISNjQ2///67JhhEkvt48eIFM2bM4J9//tEEhaltr0ePHnTu3FlJyqJeh+tXBII3FSLXrVvHTz/9BKAJtlu8eDFt2rTRXIM41tvbmwEDBvD06VPNXLdQoUJs3LhRBqa9B7xLoGtiYkL58uVTLNAVfe2zZ8/o1atXpgtzJZmHsAe1MFf4Nbt06cKcOXNStG41JNA1lEQoMYFuYhiaQ4rrevjwIX5+fvz3339cunSJgIAArl27psyNwXB1XUCTiFB8TvxfJHpzcnLi119/xcLCItnXK8nZBAcHs2LFCn777TeioqI09hMbG0vdunWZPXs2JUqUyHSBromJCc7OzkyePBlnZ+d0O68kdSQnYK1kyZJ4enoaFBNAxgt0AwMDadWqFa9evcLCwoLo6GgpzJUkG32BLiQMTE+LQDcrKzvrtyFtP/PQHzt/+eUXLly4wJ9//qn0jeLZCwGkCChXJ+G1s7OjYcOG9OzZk/Lly6c4CW9mV9BNSpgr1m6GhLnSNrOWGzdu4OnpyYULF3jx4gUREREYGRlRrFgx7OzsaNasGfnz56dixYrKManxf6eEpPpOdeXlzp07M3v27DTZj7e3N+vWrWPXrl1ER0cDUKpUKXr16kXXrl3Jly9fet2WREVKqpaJ1w3NNbNaoPv06VP69OlDQEBAgv0psb7RT5Ylrl/EI+kno1X31ZUqVWLJkiVpqvonSV/U9tWvXz8uXLig7F3Gx8djY2PD7Nmz+eSTTzTHHT16lEOHDnH+/HklIabahyNQr4vj4uKwtbUlb968DB06FCcnJ6pVq6Z8NjPHz19++YUZM2YA0LlzZ+bOnZvp1yBJHzJDoJvYOG6oj8/otbq00ZxJz549Fd+3GCdr1arFtm3bNJ/LbIHu33//zYEDBxSBmBTm5hxyuvhR+o9yL0mJxoH33jZjY2N5/PgxFSpUSLc2JRKJJL2R4lyJRJJidDodYWFhdOzYEW9vb8zNzYmNjSU+Pp46deqwfv16TExM3jnxyYgKusk5n1rMIYiPjyciIoJnz55x+/Zt/Pz8OH36NKGhoUpAvUBMINUbl+qNH7mBmLPJiAVmaGgo06ZN46+//tJsxMTHx+Pm5sbkyZPTdI2CmJgYJYjN2toaY2PjBJvn0iZzP5GRkfTv35/r169rsp5/9NFHbNq0KckM16KfDAoK4vvvv1eytqr7vS1btlCzZk3Flu7cucOIESN48eKF8jl9Z1XTpk3p2bMnTZs2Va5H2qEkNRgS6Ao7kwLd3IN6s09kmxbob6IIkWCZMmUwNjbG0tKS8PBwAgICiIqKUoI04uPjFdFFSqswiPPpdDrmzp3L5s2bgYTZrNX9XuvWrWnVqhWfffZZiu9fPc998uQJe/bsUapKioA2Ebjm6urK1KlTNdcpyXpSKtDt27cvTk5OSbYp7MLb2xtXV1e8vb0TFei6uroyfvz4dK9ysnz5cpYvX66c18TEBBsbG3bu3KlknJZkP5LqG1Kyrvbw8GDEiBEa29PfYKlevToNGzZk+PDhxMXFGaxWEhsby7Fjxzh69Cj79+8HtGN406ZNmTFjhpLtWp/IyEjmz5/PL7/8kmBtNXToUMaOHSuTwbwHZFQFXS8vL7p3705wcHCWBQhJMgedTsfw4cM5fvy4RiBQvXp1Nm/enOJqS2mtoJtckrK5+/fv8/LlS06ePMmzZ8/w8PDg2bNnAEpQOaCs19VzabUwt2rVqmzduhULCwsZUPSecePGDcaNG8ezZ880diySArVq1YoxY8ZQuHDhTBHowpv+Nzo6mg8++IAdO3ZkecW2953kiCWmT59Oz549lcD0rBDo3rhxgwULFnDx4kXgTV9sZGQkx3JJsskoga4YV7NDULok8xDPLyIigps3b7Jt2zb++uuvREU4+smh1etu8e9ChQrRtm1bRo8eTZ48eVJ0PZkl0JXC3JxFWFgYt2/fZufOnfz777+8fPky0c9aWVlhZGREly5dqFSpEi4uLsp7GeGPSUlFnlGjRjFy5Mg0n/PmzZusW7eOP//8E0dHR/r16yeFuRlISqqWzZgxAzs7O7766isiIyOzlUBXp9OxevVqli5dqhHa6vfrarEloKmQK9bngLJe1+l0FChQgI8++ohx48ZJP3w2RDy3n3/+mR9++AF4+1zj4uIoV64cO3bsIF++fBpbDA0NxcfHhx9++IHHjx/z9OlTpU39StHqJMTifIULF6ZJkyZ07tyZ8uXLY21trRyfGTb/888/c+fOHRYtWqR8D3IMz5lkpEBXJsSUpJXg4GBcXFx48eKFpm/t2rUrs2fPThADfOPGDbZu3crhw4czRaArkH70nENKksJklfgxMf+R7DtzNznBNrNSmKs/v5XxIBKJJLsixbkSiSTVdOvWjVu3bmkyUxUrVozff/8dW1vbZLWR2QLdxM5vqK3IyEjMzMy4ceMGPj4+XLt2jZs3bxIUFISnp6dmMinuoWPHjkpVM7ngyXkIO/D39+fRo0fUqlUr3ZwnJ0+eZMiQIQAaR2aNGjVYuHAhjo6OqV40JPVbUAuK5ILk/SAyMpK+ffty69Yt5dnrdDry58/Pnj17KFKkiMHj1DYixDegXdxPnjwZNze3BBuJly5dws3NTZO5FdD8XatWLVxcXOjUqROQ8Zm0JbmXiIgIDh06xLx58zQVdCFhBT8p0M15qPsidbVY0V+IYARLS0scHBxwc3OjZMmSODs7Y2ZmhqmpKWFhYYSFhfH48WP++usv7t27p1QBd3JyYsuWLeTLly/V/dDixYtZs2YNgCb4Q9/ZWLhwYWrXrs2YMWOwt7cnb968Buee4m/9sXrnzp0cO3ZMmRuLADbxPbRv354FCxZo2pBkHzKygu7Dhw8ZPHgwPj4+SVboGzlyZKICx9TcyzfffMPOnTs16z8HBwf279+f4motkowjsXl/bGwsYWFhwJtASkPVEBM7Vrx+5coV+vfvT3R0tGb8FZvagqpVq1K2bFklkNfMzIzo6GgePXrE8ePHefToEYGBgcDbpAPx8fFYWloyZcoUunXrluQ9Xrp0CVdXVwBNJYJOnToxb968ZH5TkpzO/fv32b59O7t3704XgW5UVBRff/01hw4dUoIlRdC43OTOfYSFhdG7d2/u37+v8T+WL1+enTt3pkqEkFkCXTVJ2eGrV6/w8fHh2bNnXLx4kcDAQC5evEhERAShoaGaz1pYWBAVFYWzszNbtmyRwtz3mIMHDzJhwgSABAJde3t7XFxccHNzw97ePt3PrS/QFYEn1apVY/PmzRlSYVWSfFKarT8wMJCxY8dmmUD3ypUrrFu3jmPHjiljOsixXJJ8DAl01TaTWoHu06dP6d+/Pz4+PpkWvCbJOsTzCwgIYP369Zw8eZIHDx5ogsfF/o1631D8W184q06o4urqypgxYzRCnOTi4+PD+PHjuXLlSoYIdKUwN2fh6+vLjz/+yMWLF3n69GkC4bja7yL+VvuA6tatS5cuXahXrx5FihRJ1/3olAT+Tpw4kYEDBwLpE6R77tw59u/fT6VKlejSpYsU5mYQKRHmqp/xzp07mTt3brYT6D579ow//viD7du3axIcqufAiaGusKvec6pcuTKtW7ema9euFChQIEOvX5I2vL296dGjB/7+/oqvSfx/zJgxDBw40KCfJTo6mocPH7J//34OHDhASEiIMpYaqras74svXLgwhQsXZuTIkZQsWVIjNsussVWO4TmflAp0J0+eTLVq1ZL13F+8eEGLFi2Ii4uTayBJijl8+DDjxo1T/i1s8YcfftAkSVfbaWYIdCU5k5TMPbNK/CiQ/qP3i5xQMVecy8vLC1dXV3x9faVoXCKRSAwgxbkSiSTFiExUgwcP5vTp04qD2NjYGHt7e7Zv306JEiWS3V5WC3STc11qR/2rV6+4ceMGgYGB/PvvvwQGBnL79m2aNGkiNxBzMMKWPD096dy5M6amptSsWZMvv/wSBweHNAedxcfH8/XXX7N3717NpjrAd999R/fu3dPjNiQSYmNj6d+/P5cuXdJk17WwsGDRokU0a9YsQd+p7ud2797NlClTAK0w99NPP8Xd3T1B/y76uzVr1rBkyZIEfad6g6h06dJ89tlnjB071uC5JZLkYkigKyvo5i527NjB9OnTAa1wS6fTUa1aNVq3bk379u0NBiPoz8N8fX05f/48u3fvpnPnznTo0AEgxXM1dX+1cuVKli1bprynnrPqV/UtVaoU1atXp1OnTlSqVCnJOcXjx4+5e/cuu3bt4sKFCxq7VgfGt2vXjoULFwJSmJudyQiBrrpy/fDhw/H19U1UoNuuXTs+//xzKlasaHBdk1K+/PJL/vzzT01QXrly5fj1119TFQwqyVi8vLy4f/8+p0+f5v79+0pVcQB7e3scHBwoWrQorVq1wtHRkdKlSyvHGlrPitcuXbrEwIEDiY6O1vR9attS94dquxTrH5HART/xwqBBg3B3dweSFgrHxMQwdOhQzp07pwkKKVq0KLt27cLOzk72i+8J6S3QPXr0KLt27VJ8Uubm5krFUbmRmHsQz2/y5Mns2bNHsRvRX/322284OTmlasw0JNA1lEAjPQW6+iSW+AXezItjY2O5dOkSjx494s6dO9y6dYtXr15RvHhx9u3bJ4W57ylqe1m6dCmrVq0CtOscnU5HkSJF6NmzJz179syQ5Cy+vr78+uuv7N69G19fXykYzyakNCgoOjoac3NzgoOD+fLLLzNVoKu25cuXL7Nx40b+/vtvQCvokGO5JDmkt0BXLVS0srLi9evXMrAyFyOe3/Pnz5k2bRrXrl0jIiJC2TOBt/M2tcBGHzGvAxRhrrW1NTt27KB8+fKpvr6MEuhKYW7OwsvLi9GjR3Pv3j1lLa1OaiFsQi3OVYsHxev58+fH0dGRyZMnU7t2baX9tPgis6oij/qavb29sbOzS3GFaknySG0AumDXrl3Mnj072wl0Q0JCuHHjBkuWLOHu3bvK64lVShe/MVFtV10pvVWrVowcOZISJUpgaWmZodctSRvCnjdu3MjChQsTPOt69eqxfPlyrK2tE8wn1X3WpUuXuHPnDqtWrSIsLIyYmBjN+/rVldV7kVZWVhQvXpz27dvTokULypYtmykxGDLWI/eQURV0Q0NDadWqFcHBwUpfKAU8knchbO7HH39k9erVABof/tatW6lWrZrBY+CNQHfLli0cOXJECnQlQNJVSY2MjDJE/JiaY8XavHfv3ly7dk36j94DsqJirv78LbltBQQE0KFDB4KCgrCwsCA6OlrapkQikeghxbkSiSTFiEnTsmXLWLlypSbYDOCnn36iadOmKWozNQLdRYsW4eDgkGmCBEPnEdf98OFDypUrB8hJZU5ELczt06cP/v7+ShBuwYIFqVq1Kt27d6dx48YJqtylBCE0EvYhNtIrVqzIihUrUiRql0gMIfqkWbNmsXXr1gQZeZs0aaI4Lg1x8uRJpkyZgr+/v0YMV7hwYdzd3Wnbtm2ix16+fJmRI0cSEhKSQICu3swHaNCgAb1796ZSpUrS7iWpJiIigsOHDzN37lwp0M1lHDhwgMmTJ2uCucRmy6effsqXX35JiRIlMDc3T3Lepf9eYGAgVlZWaQqmUbf522+/sWXLFh49eqTJYi0wVEmgcuXKlC1bluLFi1O8eHFMTEwIDw/H29sbPz8/Tp06RXR0NJGRkUpwnrBnMVfu1asX3377LYAMUM8BZIRAV7R5/fp1Ro8erRHo6rfZpEkTevXqRcOGDZVgyNSsVW7fvk3fvn2JiIjQBI6oxZSSrCcyMhI/Pz82bdrE2bNnefz4sfJeYuOkiYkJDg4OfPLJJ7Ro0YIaNWok2r+K1y5fvsyYMWPw9/cH0NiEuqKPflCcvphXXQWiR48ezJgxQ3OepJg+fTo7duzQVBvKnz8/R44ckZWc3zPSQ6Cr/vfJkyfZvHkzp0+fVmxUbiTmThYtWsTatWs1Aebx8fFs376dmjVrprrdrKigmxRq+zYUMBkcHIyfnx9lypTB3Nxczi8lPH/+nB9++IEDBw4AaAQ7Op2OYsWK0bdvXzp16oSdnV26B+L6+vry888/8+jRI5YvX46lpaW0yywktQFrwnee1QLdS5cusWzZMj7++GOGDh2quUaJJDmkt0A3JCQENzc37t27h6mpKUZGRkqwnZxz5h7E8/P09GTQoEF4eXkBbyvfAsoc0djYmDJlylCsWDGcnJyIjo4mIiKCkJAQzp8/n8BPaGZmxrRp0+jevXuax2BDAl19+06JQFcKc3MWXl5e9O3blxcvXmjEtmLvWn9fD9Cst9WxHWJ8NzU1ZdSoUTRt2lTxb6bm+WaVMFcghWYZT1rEEfDWF5ldBbrwJmHN4sWLuXnzJpcvX1ZeVyctNDIy0vzexP+7du1KjRo16NatW4ZfpyR9uXDhAsOGDSMiIkIz7gGMGjWKkSNHGjxOv//y8vLijz/+4Pjx4xr70d+HFOhX0y1btizly5dn6NChODg4UKhQoUTPJZGoSW+Brto30Lt3bx4/foyVlRWRkZGAXANJkiY0NJRu3brh5eWliU1u2LAh69atM3iMrKArMURWVMxV2+Lvv/9OSEiIkjQwOfj5+eHm5sbjx4+VflmKH3MfWS3M9fDwoGTJkuTJkydZbZ49e5bFixdz69YtJbmQWNOAtE2JRCIBKc6VSCRpYNu2bcycOVOTyTEuLo7FixfTpk2bFLeXEwS6+uhPIuVmTc5DPEMvLy969epFQECAsgDXd2J36NCBGjVq0KtXL+W1lD7zAQMGcPbsWU1gpI2NDT/88AMNGjSQCxNJuvDXX38xevRoQNt/WlpasmjRIpo3b57gmPv377Nw4UJOnz6t9KlCDDd06FCl2m1SNi8c9GqxhUCI1ODN787MzAwbGxt27tyJo6Oj7DslqcJQBV1D1amkQDfncO3aNWbMmMHdu3cxNjZWgih0Oh2dOnVi5syZmJmZpajN9J6fqcfqM2fOsH//fv744w9ev36doMKtvgDTUP8oEO+pEyuIYCh4U+myS5cuTJgwAZAVc3MSGSHQFdy9e5fhw4fz4sULjf2p57Effvghbdu2pXfv3lhYWKTIdsS1b9myhYULFyobAfDmtzBr1iwZJJRN8Pf3Z+vWrZw4cQIPDw8lmEu/X4K3FW3VtgdvhBGVK1dm2rRpFClSxOB5RB949+5dFi5cyK1btwgNDdUId9TnAhIEbeoLhV1dXfnqq6+Ad/dt4vxr1qxh8eLFmnsxNzdn//79FC9ePA3fpCQnkt4C3X///Zf169dz9uxZxo0bx5AhQwC5kZhbEM9a+DX1+8SZM2fi4uKSpuedHSroJoX4DvT7XDm/zBqyoz/5zJkzLF++nCtXrgBo7DQ+Pp7ixYvTrVs3unfvjr29fbrfQ1BQEDY2NspvRgpzs4a0BgVlpUBXja+vL4ULFzZ4jRJJcggICGDixImcOXNG46tS+7rLli3LsGHDaNGiRaICXdGfhYaG0rt3bx4+fKi8J4PXcg/i+T148AA3NzcCAwMTVAgT8y1XV1eqVatGixYtMDIywtzcXNOWp6cnjx8/Zvv27dy6dYvAwEBq1KjBnDlz0i14PL0EulKYm7Pw9vZm8ODBPHr0yGAFO4BSpUphaWmJtbU14eHh+Pj4KGJx4XNS7z+K401NTWncuDFdunShZcuWQMqec1LCXPV5QPadOZXUVsxNrNqoIYGuOgFXVgh0hR3rdDr8/Pw4efIkV69e5dKlS0RERBAQEAC8nVeXKlWKggUL0qRJE2rWrKmpQC1tO+cxe/ZstmzZArxNzBEXF0elSpVYtGgR5cuXT/J4tVBb+MGvXbvGsWPHlM/ox8+pX1cLvgsWLEjJkiVxdXWlVq1ayroIsqcvQpI9SKlAd/LkyVSrVi3Rvkq0FxwcTN++fXnw4AEA7u7uDBo0SGlL9nUSfXx9fZk/fz5Hjx4lKipKKbLSt29fvv76a2W810cKdCVqsqJirtoG9+3bx6RJkwCYOnUqrq6u7zxe9JsBAQH07t0bT09P5T25Bso9pMe6KKWobXPPnj3MmzePnj17MmzYMKysrJLV9smTJ9m0aROnT5/WvC5tUyKRSN4gxbkSiSTVnDhxgqFDhyoLVzEh/Pzzzxk/fnyqJlk5UaAryfl4e3vTtm1bIiMjNRX6BPobkvXr16dTp07UrVtXI/RKyoEt7PP3339n7ty5REREaBw+NWrUYMOGDVhaWmbcjUreG3x9fRk7diw3btxQgoALFixIgwYNmDFjRoIAioiICNavX8/PP/+sZGEXYrjWrVuzZMkSIPHFs7DvJUuWsHr1ak2ghVqUq9PpMDMzIzo6GtAuzCUSNcLZGBMT804hpqygm3sICgpi5cqV7Ny5k+joaI2QoV27dixcuBDIHhvG6mvw9fXl2rVrzJw5UwmqEBvuoi8Vr6kFaqId8Tl94a56/vHxxx/TqlUrXFxcACmcyIlkZAXdR48eMXjwYLy9vTVrJrVAt2DBgtSrV4/p06djbW2domu+e/cuQ4YMwd/fXzNHqFevHhs3bkzN1yFJZ54/f86ECRPw8PAgMjJSU41H9C8iOE2s3dVJiIStiH6oePHiDB06lAYNGlCsWDHAcOXF58+f8/fff7Nv3z7u3r2rHG9mZqYE4Brq+8S5a9WqRZs2bejTp4/yenL7tkOHDuHu7p5ADHzgwAHKly+f5eOEJPNJb4Hu//73P2JiYmjVqhUgNxJzI5cvX2bQoEFER0dr5mKurq5MnTo1ze1nd4GuJGuJj4/Hx8dHGWezI7t27WLDhg2KeExfoFu4cGE6dOhA3759cXBwyJB1WnZY+72vPH36FFdXV0UQk9ps/dmlgq6hf0skKcHX15fJkycrAl39yn3JraArfJ4vX77ExcWFp0+fMnHiRKV6ipxz5mySSgYs/D758uWjdevWtGzZksaNGyvHqhOmqquYCv79919Onz5NwYIF031PJa0C3aSEucL3KYW52YegoCDc3d05ffp0ghgPGxsbPvnkE5o0aUKdOnXIkycP5ubmhIeH8/LlSx49esSePXs4f/68Rlwo/DxqUVjJkiXp27dvinw+WV0xV5LxqCuL9+rVK00B6O8S6ELWVtA11P7Lly+JiIhQ/ARizlu8eHFsbW3lnk8OR9jkuXPnmDx5Mr6+vhrftbGxMXPmzKFTp07Jsj+1jb969YqzZ8+yceNGvLy88Pf3T1DhXO2DF/+p9wCqV69O9erVcXNzw8bGhrx582ri8+RaSaImvSvoivaCgoJo164dvXr1YtSoUUobchyXJMbFixfZtGkTx48fV+arW7ZsSfYeOrwR6G7ZsoUjR45Ige57RlYLc/fu3askpxZ8/fXX9OvX753tiH4zMDAQFxcXvL29mTRpEgMGDEjzNUqynqyumKu2zRIlStChQwcGDx6cpEBXffyJEyfYtm0bJ0+eBJC+TYlEIlEhxbkSiSTVeHl50a1bN16+fKlx2n3yySf8+OOPqW43NQLdhQsXUrhwYSlUkKQKX19fvv32W0JCQrh27ZryunpDUe2Ujo+Px8bGBjs7O8aMGUOlSpUoV66cclxSzmsfHx/69euHl5eXxuFja2vLzJkzadGihVykSNKFxYsXs2bNGgCcnZ1p06YNPXr00Cykxf+vX7/O8OHDCQoK0gQN16hRg++//56SJUsm2b+Kdg4ePMiECRM0bRQrVoznz59jbGysqQA5ZcoU+vbtm2nfhyTnIGzN09OTpUuXMmjQICpXrpzkpqAhga6soJtzEH3IhQsX+OKLL3j58qXmGbZo0YIFCxaQJ0+ebDXX0x/vvby82LRpE5cvX9aI1AxVrTSEaEstqAQYMmQIn376KR9++CEgnZk5mYwQ6Ap78PPzY/jw4dy+fVt5Tx1EKShfvjzjx4/HycmJokWLairnqYM2BHfv3mXkyJF4e3trfpeFChVizJgxdO3aVQZuZDGenp4MGDCA58+fG7Qlgb4gV/2aoUondnZ2NGnShD59+uDs7AwYFujGxsYSHh7OypUruXv3LhcuXEjyem1tbbG2tmbo0KFUr16dihUrAilPOrB7926mTp2q9LXGxsbkzZuXgwcP4uDgkOx2JLmL9BboCuTYmzu5desWvXr1Uja7RZ/42WefsXTp0nQZ3wwJdMW5pED3/SUmJoa+fftSokQJhg0bpvEpZgfUtr9582Y2btyIt7c3gCYQU6fTUaBAAVq2bMnnn39O8eLFZX+ZSwgMDKRRo0bEx8djaWlJVFRUAv9KSoKCsksFXYkktajXKu3bt+fhw4eaxB6pFeiGhIRw9OhRunXrphwv7T3nIp7f8+fPGTRoEE+ePEkgzLW3t2fq1KnUrVuXggULao5LjMTWyknNVfXbTM681sfHhwkTJnD58mVFoKsvvKhYsSLDhw/XCHSlMDdnERMTw/bt21m1ahUhISGagPQCBQowZ84cqlWrhp2dneY4/ed1/PhxTp06xdatW4GESSnFuG5hYcGQIUMYOXKkwXbUyIq57w9eXl60adNGSc6blspQ2V2gqz6H+loTO6+059xBVFQUw4YN4+zZswmSIJQoUYLNmzcne59a31ZCQkLw9vZmwIABhIWFaWKZDH0e3v62RD9drlw5ypQpw8CBAylXrhy2traJnk/yfpNRFXSjoqKwsLBQjpX9nsQQahu7fPkymzZt4q+//qJixYps2LABe3v7d/ZXUqD7fpPVVUnV4kczMzN0Op3B9UxSiH7Tz8+P48eP07179zRfoyTrSco20+KDT4rEbFOcS/jkBwwYQJ48eZLVzvHjx1m1ahUtWrRgyJAhab5GiUQiyS1Ica5EIkk1z58/x8XFhaCgIM2mS7Vq1dixY0eaHHdSoCvJLMSiIDo6mpCQEHbs2MHx48fx8PAwWPVTHXARFxeHqakplStXpnnz5ri6umJpaalUitJfbIjjDx48yFdffaVxggO4uLgwc+bMTP8OJLkLYWdRUVF069aNokWL0r9/f+rUqWPQNkNDQ3Fzc8PDw0MjuilcuDCjRo2iY8eO76xcKti6dSuzZs1S7LpixYps3ryZ6dOnc+rUKcLCwgCYNm2aki1bIlEjxvBnz57Rq1cv/P39adq0KWPHjqVixYrvFOgeOnSIefPmyQq6OZCQkBAGDhzInTt3NH1RlSpVmDNnDk5OTll9iUki+tbXr18THh7Ozz//zMWLF7l586byGWGHYiNTv8qKWkjn4OBA9erV6d69uyIeArkxnhvICIGu6DsDAwP59ttvuXDhAi9fvlTa0xdd5s+fn8qVK9O9e3fq1q2Lvb19gjZv3bqlrMP8/f2V36WYAzdr1ozZs2cbPFaSeTx79ox+/fppxNPiOVtaWmJvb8+nn35K8eLF+eCDD3j9+jX+/v54eXnxxx9/4OfnR2hoKKC1FfGczc3NKVu2LOPGjVMq+iQlZIyMjOTKlSs8efKEixcv8vr1a0JCQjA1NaV8+fLY29vTsmVL7O3tKVKkiME23oX47Pz581m/fr1mPVWuXDn27NmDubl52r9cSYoxJN7OCtJDoCt5PwgNDaVnz554eXkpSSri4+MpWrQoBw4cwMrKKl38i1KgK1ETExND//79FeFLz5496d27d7YT6Kp9Rz/99BNbtmwhMDAQQBPortPpyJMnD1WrVmXq1KlUqFBBBmDkAiIiIhg/fjz//PMP8Ka/EklZIHVBQVKgK8mpqO3vwIEDuLu7J/iMeg8ppQJdgdzXzNmI9YS/vz9jxozh8uXLyrzP1NSUmJgYChUqxJo1a6hcuXK6nc8Qatu6f/++khArtQJd/Qq6hgS6Upibc4iMjGTw4MFcvnxZI8y1t7dn1apVVKtWLcnj9fuqgwcPsmDBAgIDAzUiB+GrEeN8//79leDfpPbPvby8cHV1xdfXV1bMzcWcO3dOmUuq90xSO9fMCQJdSc4gPWxB2OOVK1cYMWKEkggB3thh3rx5+eabb2jfvn2K+jD1+P7NN9+wc+dO5T3x+1Ffu9pnLhCJ28Xr5ubm1KtXj0aNGtG5c2fFDyZ/ExI16V1BV/8YOY5LkkJtL5cuXeKnn36iadOmuLq6pqoNKdB9f8hOVUnV57WysiIyMhIjIyNOnTpFgQIF3tmu9B/lLrKTbQr/jfDJ582bl0GDBjF8+PAk54Lq9ry8vChRokSar1EikUhyE1KcK5FIUk1sbCwDBgzg0qVLmk0WKysrDh8+TOHChdM04ZICXUlmoe9gfvLkCR4eHqxYsYLAwECCgoIUZ7UhgYOgZs2aVKtWjf79+1O4cOFE279//z7u7u7cu3dPySgtNulXrlypBL5LJKlF2Oj9+/cpVKiQ4tAx5Ow+cOAAM2fOJCIiQiPoaNq0KXPmzEmW6Ea0u3btWhYtWqQ4CypWrMj+/fsBOHToEOfPn6dMmTIMGDAgg+5ckpNJLDN6TEwMjRo1wt3dnQoVKqRYoGso+F0KdLMPoi/avXs38+fPJywsTBlvzczMGD58OG5ubkoG3ZyEr68vHh4eHD16lGvXrvHs2TMiIyOTPKZBgwY4OjrSr18/ChYsKIWPuZSMFOi+fPmS9evX8/fff/Pw4UMATV+oX5m5fPnyFC9enJIlS1KgQAGeP39OWFgYJ06cICYmhujo6ASiz7Jly7J69WrF0S7JGvz9/fnyyy+5cuVKgmeUP39+vvjiC2rVqpVocoPXr19z7tw59u/fz+HDh5XXReCaWiBhZWXF7NmzadOmjcG2siJgZ9q0afz2228YGxtjbGxMbGwsH3/8MStWrMDc3Fxu/mQi6uAFfT+MuopSZtrI/fv32bZtG7///rsU6EqSxMXFRZNMxdjYGDs7O44cOaKpHJJWpEBXAm+Euf369ePq1auYm5sTHR0NQO/evenTp0+2FuiuWLGC3bt3ayroqgW6AAULFuTHH3+kRo0aShuyb825hIeHM336dA4cOJBuQUFSoCvJabyrqgRohQ8praAryV2EhYWxYsUKfvnlF6KiooC3c71ChQqxbds2SpYsmaFjozpo193dnfv37zNp0iQaNGgApK9Ad8iQIbRr1w6Avn37aoS5wrcrhbnZD7GHJ5IKxMfHkydPHr755hs6deqUKvu8dOkSGzdu5Pz587x69cpg8jeAPn36MG3aNMCwLYaEhNCzZ0+ePHmChYWFMleWFXNzJ6dPn2bMmDG8evUKS0tLXr9+DaR+rikFupLUIOwmMjJSk3AiPWzBx8eHsWPHcu3aNY0fSKfTUbduXTZv3pzi6wT4+uuv+f3334GESZRKlixJcHAwr169Uu5B9MOJVdMV1KxZk0qVKjFo0CAKFSqUI/dkcyP6/WBWxUGmt0BXIkkJaht7+PAhhQoVwsbGJlVJf0EKdN8HslvFXCG6FH/nzZuX9evXvzMxkiT3kd2EueJcYq/KxMSE3bt3J6twRlLJ3CUSieR9x/TdH5FIJBLDmJqaki9fPk0gjth4i46OTrOjRWxqGxkZUatWLeX148ePK04nsbljZGTExYsXmTBhghToSlKMvlixdOnSlC5dmho1anDnzh127NjBhQsXiIyMVOxKCGrVmYWvXLnClStXOHjwIL169aJu3brUrl1baV8cW7FiRT799FPu3btHbGysElCu0+m4du0ajRs3lpuKkjQhbEd/waxeCIvP/PPPP0p1PbGBY2Njw8SJE7G3t0/WAjo+Pp64uDjOnDmjOU/lypUVW27bti2tW7eWdi0xSGLCXDHO//vvv8TFxeHu7p5kdYE8efLQtm1bgAQVdNXZt3/99VeMjIwYOnSoFOhmMaJPOHnypKZ6Y2xsLMWKFaNLly45bhNY9HuFCxemcOHCNGzYkPj4eLy8vLh//z7+/v6aoHZbW1ucnJywtbWlWrVq0nH5HiDWOR988AHz5s1TBLri2YukLbGxsezevRvgnQJdsTaysbFh2LBhVKlShV27dnHy5Ekla7oIQFLPXx89esSDBw8MtmlsbIyJiUkC0eePP/4ohblZzOvXr9m6dSt3795VbEY8o4IFC7Js2TJq1qypfF48d9G3iMq6TZs2pWnTpjg5ObFt2zb8/PyUPkzYowhQGjduHBEREXTr1i3B9ej3WSJxl9jMFr6C9Orfbty4wd9//638WwQ3NW/eHEtLyzS3L0k+wl6ePHmCu7s7tWvXplixYlSvXp3SpUsrVYwNPfeMXPNWrFiR3r17AyQQ6IrEW//99x8LFiwAoGHDhhoflCT3I/pNkchK9HvGxsa8evWKx48fU7169XSzCScnJ5YuXZpAoKteo4iqJ1KgmzuJjY2lb9++SmCu+tlv374dINsJdEV/aWxszMiRI8mXLx+//fYb//33nyaBoZhbBgQE0L9/fyZOnEijRo0oWbKkJimCJGeRN29epk+fjomJCXv37gXSHhQk1hb58+dX+kS1QFf0w/Hx8Xh7eytrISnQlQj0q4VkJMkJXlPbo7q/MzY25tGjR6xatQpACnRzOcJWzp07x/Hjx3n9+rXG71KgQAHWrl1LyZIlM3TfWv37mDBhAgcPHsTU1JR169YBbxICJmfNU7RoURYuXKgR6KrnBMbGxty/f5+ff/4ZY2Njtm3bplQKFtX4pDA3++Lh4aH4egRiPxwMr90TQ9hS7dq1sbe3Z9++fezatYvAwEBlvaP2cW7bto3Y2FhmzJhh0BZfvXpFzZo1CQkJISQkJIHoTApzcxcff/wxS5YsYcKECYSEhABpm2uq+6lu3bphZGTErFmzNAJdMdeMjY3l/PnzyrF169aVPqH3EGEvnp6eTJo0CVdXV9q2bZtutlC0aFF69uzJtWvXNPszxsbGXLhwgV9//ZUePXok+zpBK8wVY77oI6dNm0bv3r35448/+OOPP/jf//5HbGys0g+rxcFAonFO//zzD/Xq1aNevXp06tQpTd+BJG2IZ+/n58fdu3dxdnbGwsKCPHnyGPxcRo6Naj/WDz/8oBHoqn8zxsbG3Lhxgzlz5kiBriTdUNuY2m+akn5a3YazszN9+/YFSCDQNTExISwsTPGDSYFuziO7ih/FNVhaWrJx40aqVq0q49rfM7KjbRoZGWFqakp0dDRWVlZs2rQJJyenZJ1Tvw+W6yiJRCJ5i6ycK5FIUoWYhM2aNYutW7dqFqqxsbEsWbKE1q1bp4sDKDkVdNWfkRV0JemBvtP96NGjXL58ma1bt6LT6RTnozrTpNh0jo2NxczMDFNTU/r160ejRo2oXbs28Pa3ExQUxMiRI7l69apGLGFra8vOnTspVapUlty3JHuh7sPi4uIUB3d69W3379+nd+/ehIeHa0Tqn332GUuWLFFsOinEbyUkJAQXFxe8vLyU/njs2LEMHTo0zdcpyd0kJsyNjY1Fp9NpKgotXbqUzz777J1tGqqgKxxZ6r/btGnDN998g52dXYbdn+TdnD9/niFDhhAVFaUESpiamjJr1iw6duyYrYNtkrNJn5o+WwaCvB9kRAVd9bpIVG359ddfiYqKUioDqCvnis+q5xj6WS6F26hYsWKsWbMmW4lG3jfE83306BHjx49XxLlCBGtnZ8fy5cuVtce7UPeve/fuZfPmzXh4eGgEuqC1xalTp+Lq6poxN5gMYmJi2LBhAytWrCA6Olqx4bx587J8+XLq1auXZdf2vqHeSOzTpw8BAQGK6MbS0hIbGxtKlSpFrVq1KFy4MPXq1cPS0jJBYhR9e0vP8e/evXts375dVtCVJMry5ctZvny5EsQmmDdvXoYEIRqqoCvmvrKCbu7Gw8ODvn37Eh4eDmBwjM0JFXR3797Nzp07uX79OoDBStCmpqZ88skntG3blpYtW2bZdUvSh7CwMCZOnEjVqlUZPnw4kHZBjKygK0kNjx8/ZtOmTbi5uWV4cGxSwWuizzM1NVXml4Z8+CAr6L4PiD4pNjaWYcOGcerUKY3QxdbWlvnz59OkSZMM7b/Uwtzx48dz6NAhjYiidu3aDBkyJN0r6FpZWREZGSkr5uYQvL29adu2LZGRkZp97dGjRzNixIg0tx8QEMA///zDihUrePHihcF5IrxZ73z33XdAQrt4+vQp27ZtY8+ePbx69Up5XQpzcy8nT55kyJAhmv3ktDxj/bWLvkAXZAVdiVaY26NHD4KDg6lQoQKjR4/mk08+AdJmC+LYoKAgxo0bx/nz5zWJU3U6HZ06dWLevHnJuk6AKVOmKMmL9IW56j5ScPToUa5du8bWrVuJjo5OkGBL7PuIOCWdToeZmZmyH9+qVSt++OGHVN2/JO2o/e5dunQhPDycAgUKYG9vT4MGDXBwcODjjz8mf/785M+fX0mQqUadlCC9kBV0JTkdWUE3d2Noz1ItfhTjHcDEiRMZOHCg5rjUkBL/kaWlJVu2bKFq1apyTfOeIfyGyRHmTpo0iQEDBgAZa5ti7idsc/PmzTg7O0vblEgkknRAVs6VSCSpQkzCKleurHHeiYWFl5eX5nNpQVbQlWQF+tVuW7ZsScuWLWnRogWnTp1i//79StU7EUgpsgALZ01MTAyrV6/mwIEDODs7M2rUKBwcHMiXLx958+alevXqXL16VQngMDU1JTQ0lN9//51Ro0YpWYEl7w/6i1zx/GNiYnj16hV58uTB0tJScRgJUrtB5OvrS1hYmNKGwMnJKdn9tzjvhg0b8PLyUuxWp9NRoUKFNF2fJPfzLmGuyNIGbzYXkyPMhaQr6KqD34WQSZK1PHnyhJiYGE1QkIWFBWXLlgXSZz6ZVtT92LNnz/D29uaDDz5IVmCl/jxUBKiJ1w05OGWf+X6QERV0he0YGRmRL18+vvrqK2rVqsWJEyfYs2ePwQo/wibF3+rfok6no0CBAjg7OzN58mRKliyZId+FJHmIZ6OumisCe8zMzBg4cCDVq1dPdnvqjOqdOnUib968rFixgnv37imBOvA26CI2NpZZs2YRGxurZGxNLfrzw3et29Vi9s2bNxMVFaVJ1tWoUSMpzM1EDGX4NTc3V3xCcXFx+Pn54efnx8WLFwHInz8/JiYm1KhRA0dHRypXrkzVqlWxs7OjQIECCRIDpEe1xUqVKr2zgu6DBw9kBd33mPz58wNaoWR8fDx+fn4Zcr7EKuiqx3xZQTd34uTkxE8//cTUqVN5/PgxQIL5Xk6ooNu1a1cKFCjA3r17+eOPPzTJC9X38ueff3LhwgU8PDwYOHAglpaWGV7JRZIxWFtbs3TpUszMzID0EcTICrqSlOLp6Unv3r0JDg4mMjKSkSNHZtjaNKXBa0uXLmX79u2cOHECY2Njxb5lBd33A9EXrVmzRhHmCrGupaUlbm5uSvKszBTmiv5UXMulS5eUz6e1gq5ayBMVFaWs26QwN/sTFhamCBKFACEuLk5JFp3W51SwYEHatm2Lvb09c+bM4fnz50rfqfYr7dy5EzMzM6ZNm6bspwt/UKlSpejduzfGxsbs2LGD169fp1vgvCR70rhxY/73v/9RrFgxIO3PWH/tAsgKuhIN+j7N4OBgTE1NefjwIUuWLMHIyIiWLVumyRbEMfb29lStWpVz584pY6dod+/evbRu3ZomTZokeZ2QdMVctTBXnRBBxDa1bduWP/74g2PHjinJYdWxTeJc6iQKnTt3Zu7cuSm+b0n6oC8uCw8Px8rKisDAQAIDA5XnuHz5ciwsLKhSpQply5aldOnS1K5dm7x581KiRAnF3gBNXGVa+lhZQVeS0zFUQdfIyIjDhw/LCrq5AGNjY7y9venRowchISFYWFgoa1Y1gwcPVtYXaYkpT25VUrX4UQpz309MTEx4/Pgxbm5uijBXzLvg7bwuoyvmCn+mkZGRxrcpReMSiUSSvkhxrkQiSRP58uXTCLrEJsqzZ8+A9NskkQJdSVahbze1a9emdu3auLm5sWnTJq5fv87Zs2c1FRnV2a9iY2N58eIF3t7e3L59mxo1atCrVy9q1KjB559/zv/+9z88PT2V3w7A2bNnGTFiBKampnID6D1B7agGuHnzJo8fP+bEiRM8f/6c4OBgAgICsLa2pkCBAtja2tKsWTOKFy9O8+bNNSKe5PR1om++e/cugGYzXqfTYWtrC7wRBYvgu6S4e/euEnQvEjWULl2aOnXqAFJkJjFMUsJc0GaH099cTI6dC4GukZER8+bNIywsDHNzc0WUq85KLPvarCE+Pp6oqCgOHTqkydoMUL9+fapWrZrFV4gm4AzgxIkTbN26FT8/P0aMGMFnn32W4vmuqKAhkA7OrMPQs8tsp3NGCHQFor/85JNPaNy4MZ06dWLz5s3cu3ePp0+fJrgO0Ap1AT766CPatWtH8+bNKVCgQDreuSS1eHt7K9n21UFlefPm5aOPPlICdJKLOmjtk08+ISwsjEWLFhEQEKBZo6htcd68eZiamioVdFM6jqo/f+fOHapUqaL0i/oCcbXg/L///mPs2LEEBARoguNLly5Nz549ARmomRmoq0v06dNH2UgUCVUAZeNZXZnk5cuXxMXFcfToUeU1CwsLbGxsqFOnDoUKFaJp06bY29tTvHhx8ubNm+BZpibjf6VKlejTpw9GRkbs3r07gUA3Li6O//77Twp03zPE83VycsLU1BQjIyMlkY9Op+PGjRtAxvQpUqD7/qH2ac+cOZOpU6fy5MkTg/O97CzQFdfbtGlTypUrR5kyZVi1ahWxsbGKnQpBWnx8PIGBgSxfvpzr168rlXSlKC1nInyD6Vl1Rwp0JclFLZwwMTFh3759xMXFMXr06HQX6CYVvCbmCYaqSlSqVInJkydz9uxZKdB9D3n48CEnTpxQ1j/ChkqXLk3Tpk0z9HknJswV8wu1WDi9BLqAxm8k+mwpzM3++Pr6EhUVpYzrIiBXiHPTY/2bJ08emjZtiq2tLV9//TWenp4G1zvbtm3D1NSUyZMnJ6hALnw8YWFhVKxYkX79+gHSlnIz6SXMFUiBriQxDCUbNDMzIy4ujvj4eJ48ecLChQuJjY2lVatWabIBYUNDhw7l5MmT3Lt3T1O1OTY2lv3791OjRg3y5cunOVdqhLnqhMDqa6hcuTKVKlVi6NChrF+/nps3b3LixAnNXrw4XozhQpgr+93MR+13V9vo69evAe1+ckxMDJGRkZw5c4YzZ84Ab5JrieSYhQoVon79+pQuXZoiRYpgb29v0KZT+pylQFeS09EX6Ip9TinQzR2cO3cOU1NTjI2NiYqK0uxRiv//+++/dOnShbJly6Z6rH+XMFf8LauSSgAiIyMZNGgQfn5+WFlZKeO62v4qV65My5YtlX9npm1KYa5EIpGkL0Y6/dJrEolEkgKePn1K9+7diYiIUCZwOp2OKlWq8OuvvyqZdNMLMYHU6XRcvnyZdevWcfz4cQCNoEN8tk6dOlKg+56jtpnEnNop3WBRC8KjoqL4/fff+eeffzh37pzyOxAOR1FxSmyGw5tFzoABA2jWrBleXl7MmTOH0NBQ5Xri4+P58ssvGT58eHp9DZJsjLDF8PBwHj58yC+//MLx48cJDg5WPqPeSFT3c/AmeLx27dr06NFDqfrzLoTNL1y4kHXr1imb3+K30rdvX6ZMmZLse/j+++/ZsGED8DbTVs+ePZk6daoShCTJPIStpFfFsYwgORVzE9tcTOm9REREcPjwYebPn8/Lly8BZIBQNiI6OpquXbsqmX5FP9SjRw9mzJiRpUEQatu4desWx44dY+XKlcr7ajuS5DzE8w0KCsLHx4cqVaoYrNqYWWsIdVVQIdCFt453debyrl27Jlugq99+eHg4YWFh7N+/n2fPnnHx4kUiIiKU6hl2dnaYm5vTrFkzypYti4uLS/rfrCRNnDlzRsnoqxaxdu3aldmzZ6e6XXWft3r1apYsWQK8FU6I86ltcebMmYqNpKa/Pnr0KF988QXNmzdn3LhxFClSBGtr6wSfCwgI4NatW0yfPp0XL15oEiKZmJjQvXt3xo0bZ/BYScbg5+dH48aNgTcCW7UwV6BvE+rAHP2KDAKRoKpSpUoUL16c8uXLU6dOHfLly8eHH35osP3k9tP3799n+/btCQS66vlyhQoVcHd3p2HDhgbvQZL78PHxoVWrVkRHR2v8R/Xq1WPjxo0Zem4PD48EAl3Qjvndu3eXAt1cyKVLlxSBLhie7/Xu3TvbCXQhYb+4d+9e5s6dS3h4uCaADbT3Y2trS/ny5Zk0aRLFixfH3t4+S65fkv0Q43hwcHACgS6gjNMAjo6OdO3aVQp03yNEVQk/Pz/MzMzQ6XRKv9KuXbt0FeimtGKuCKwUgen+/v5MnDhREegK2xVtxsfHU7ZsWYYPHy4FurmM33//na+//hpAs3/z3Xff0b179ww7b3KEueqkg0IMVLt2bYYMGUKDBg2A5K15fHx8NAJdIcIV55DC3JzBv//+y+eff55gn3HlypU0b9483c9348YN3N3dNesd/b2foUOHMnbsWCChvbx8+RIbGxuD70kkyUFtN7t27WL27NkagS6g6R8/+ugjhg4dSt26dQHpE8ptJCbMFfvSan9lixYt+P7777G0tEyzQDc6OpqFCxeyZcsWTSU9nU6Hg4MDGzdupGzZspo4EGG3U6ZMUZIUvUuYm1QfqX7/9evXHD16lIMHD3L16lVCQ0OV6+nYsSPff/99stqUZBxeXl507tyZsLAwTVJz/bg3fV+7+L/ansXnihUrhpOTE46OjjRs2JB8+fJRuXJlrKysEpxfJBl6l+2r56Jqga76WuGNLTk7O0uBriTbobbTGzdusHXr1gQCXZHc1dramk6dOkmBbg5hx44dbN26lQcPHgBo+kQx9ytfvjxLly6lXLlyKR7zklOVVApzJfocPnyYb775hrCwsARzQkHbtm1xc3PD2dkZSFty9JT4NqVtSiQSSfoixbkSiSRNvHz5klatWhEUFKS8ZmRkRLly5dizZ0+yKi6mFCnQlSQH/YVDeHg4ISEhGBkZ8fLlS4yNjSlWrBjx8fHky5dPc2xyFjf6nwkKCuK///5j1apVeHp64u3trXHiGwpMK1WqFIULF8bX1xdPT0/g7SZQw4YNWbRokVLBVJI7EX2Sv78/a9as4ezZszx48EDp49QBumrUFUkEjo6OTJgwgerVq+Po6Ai825a3bt3KrFmzEjjoP/74YxYtWoSdnd0729i4caNSfVQs4gHWr1+vBHhIMg/R9z1//pw9e/bQsWNHSpQoobyfHTaTM1OYK4iIiODIkSNMmTKFTz/9lGXLlqW5TUna0el03Lp1iz59+mg2wOPi4pgxYwY9evTIFja7fPlyTp8+zdWrVwEwNzcnJiYGnU7H/Pnz6dChQ5ZenyTliN/+kydP6N+/PwEBAVSrVg07Ozvq1q1L+fLlKVmyJCVKlDBog/pJENKLjBboGkKs44KDg4mPj6dgwYLodDqNYCI7/A4lb+1u1apVLF26VLPJp9PpGDlyJKNGjUrT81KPi2PHjuXIkSOANpM0aG1x3rx5dOrUCUiZrZw9e5YxY8YQGhoKvFkblS5dmu7du1OoUCHKli2Lr68vN2/e5OjRo1y8eJHQ0FBlfiyu4YMPPmDZsmVKlQ1J5tGjRw+uX7+uBGLrZ58W6G8u6qPuT0XVEvUxZmZmGBkZUaVKFWxsbGjQoAFlypShXLlyFC9e3KCfR91Pi2sAKdCVaImLiyM0NJR27doRFBSkCSArWbIk27Zto0CBAhn6/KVA9/0lJwt09bl06RL79+/n2LFjmur26kBM4XcS8+127drx6aefKm3Itfn7jRToSgwRERFB9+7defDgAZaWlkRFRQHafjK9BLrvCqxU/21pacmWLVuoWrVqgnloQEAAEydO5MyZM4kGppctW5Zhw4bRokULKdDNBQQFBTFkyBBu3bqlCXb86KOPWLFiBdbW1hmynkhKmKuf3FWQEQJd4cuVwtycgUj2JpKwmZqaEh8fz9y5c+nYsWOGPLO7d+8yZsyYRNc7xsbGTJo0CTc3N8CwLco1ec5FbVNizMzs5ykFuhJIXJir9q3DWx9miRIl2LVrV7rF6dy9excXFxel31PvhX766acsXLgQc3PzDBHmCvRtOSQkBG9vb1auXMm1a9eoWbOm3DvPBsTExLBkyRLWr18PJIx/BMMJMUG7h6P2MenbuTo5pq2tLdWrV6dKlSoUL16cypUrv9PXrj63+rNSoCvJiUiBbu5CPX5t27aNX375RSPQ1Z/7pUag+y7xo/hbih8lhjh69CgTJkzg9evXCSrZir/btm3LgAEDlITVyV2PvKtirhSNSyQSSeYhxbkSiSTVxMXFERcXp1Q7UzsS8+TJw9atW9McLJ4YUqArMYT+gsTPz4/z589z+vRpHjx4wOPHjzEyMiIsLAyAYsWKYWlpScOGDalYsSItW7Ykb968moDvlJ4zNDSUZ8+esWXLFs6fP4+Pjw9Ags1qtajSUAZrgB9//JFPPvkkXb4bSfZD2NizZ88YP348d+/eJTo6WpPhUqCfBVP/dbGRbWtrS6NGjXBxceGjjz4Ckt5AOXDgAO7u7pp+U7Q/adIkBgwYoHxWbb+i3U2bNikZVNXBSimtvCtJH9Sbiy4uLrx8+RJbW1s6depEnTp1aNmypfLZrBoLkxLmgjbALr2EuYLw8HDu3LlDnTp10q1NSdo5ffo0gwYNUsZSMQ4uWLCA9u3bZ/HVvbHZzz//nDNnzgBvnZfCdvr168dXX30lgzRyEOq+sk+fPgQEBGjmYGJstbW1pVy5chQtWpTGjRtjb2/PBx98QN68ebGwsEjQpnrDOy1ktkBX2m7OY9y4cRw+fFixVTFvXL58uWasTy3CJv7++28mT55MZGSkweBetS0uW7ZMEdgkx6Zu3brFjBkzuHnzphIMqn+O/PnzExkZyevXr5XX9IW5Dg4ObNq0SW6EZzLqeeTgwYM5depUgupJQII1rn4FMf3PCsQxavtW/y2wtbWldOnSFCtWjI8//hg7OzuqV6+OlZUVefLk0VxzTEyMkjzOw8ODHTt2SIGuRGHAgAGcPXtWs962tLTkt99+o0KFChl+fkMCXf2kRVKgmzvJ6QJddd8YFBTE/fv3mT17tjJ/BZRxXu27EnTs2BFnZ2dcXFwwNzfXtCn73fcPKdCV6BMdHc3hw4dZsmQJvr6+iSaxSKtAN72rSvj7+zNp0iRFoKs/75UC3dzFgwcPGDBgAP7+/sq+TlxcHK6urkydOjVDzvmuirmGqueqxRTpKdAV7Ulhbs7A19eXDh06EBERofi34+LiaNasGUuXLlXmY+nNrVu3GD9+fAKBrrAfR0dHxo4dmy32AiRpI7HffnR0NNHR0VhbWyfYm8yMeb8U6L7fJFUxV6C/Di1atCi7du3SJDBNLaLNefPmsXnzZuU1QZkyZVi4cCFVqlRRXvv666/5/fffgfQR5hq6HkF0dDReXl6Kz0GO4VmPh4cHv/32G7///juRkZHJEujqv66fsFL0caL/FXNGdbvm5uaULVuWAgUK0LRpUwoVKoSzszN2dnYJfO3q9qOjo5U5RHIEupMnT6ZatWrSziTZBinQzV1kpEA3qcRuohCBrEoqeRf6Al2xPlbHkqdUoCsr5kokEkn2QopzJRJJmpk0aRL79u3TOG+MjIxYv3499evXz7DzJkegq/6MFOjmbtQLhv/++49r166xfPlygoODiY6OVj6nDgoDrfO7Zs2afPDBB4wYMYL8+fOn+Br0F0OXLl3i6tWrrFu3jujoaCIjI5WFj/7vRX09IgCzXr16LFq0iAIFCqT8C5Fka9QCRTc3N6XSslr8qg6e0EdktlY748VC3dTUlKJFizJmzBjatm0LJL5Q9/X1pVevXoqIXD8AeOrUqXTq1Alra2vNcVeuXOGvv/5i48aNgHZBX6FCBSZOnEijRo3S58uSJAtDYjMrKytlgzk+Pp62bdtSs2ZNunTpgpWVVaZfY1YKc/WRTqbsw9mzZxkwYIAmY59Op2Pq1Km4urpmaeCDOPe9e/cYOnQoL168SLCRaWNjw65du9JcpUWSOYjfvqenJ7169SIwMDBBlXrRF4mxVk2pUqXIly8fzs7OVK5cGUdHR2rUqIGJiUkCwW5aqgFkRQVdSc5hyJAhnDx5Uhnfxf9XrVpFs2bN0u084eHh9OzZk//++y9BJnZ9WyxQoAALFy5M1vrf29ub6dOnc+HCBV6/fq2Zz6rX8eL3o67mol4zOTo6snbt2mwpVnofUAeEDxo0iNOnT2sSUhlKLCTmpmrU62O1uFdtZ+q/1dV1DfXTJUuWxNLSkho1alCxYkXKlClDtWrVMDExwdLSUvncw4cP2bhxI/v27SM6OjpRge6ECROUdY0Mxsy9iMAxYXumpqaYmJjw888/U7t27Uy5BllB9/0lpwt09QkLC2Pjxo1cuXJFSXAEb/t7dT8uqFy5Mi1atKB58+aagGSQfe/7hhToSvSJiorif//7H7Nnz9as3/V92KkV6GZUxRP9Crpq0SRIgW5uQNjOokWLWLt2rWZvx8rKil9//ZVy5cql+ziWHGGuGGednJyIi4vj4cOHmmpn6n2ktAp0xe9QCnNzBmFhYbRu3VoRkwNK5byNGzeSP3/+DHt+165dw93dHS8vL00fK2yuVq1ajB8/nho1aqT7uSWZz/Pnz3nw4AGnTp3i0aNHhIaGEhUVReHChbG1teXTTz/FwcFB87wzuu+QAt33k6Qq5uqjfr4mJiZs376dqlWrpttzP3LkCGPHjlXaV/u6Bw4cyMSJE4GMFebqo9+GtPPsw4MHD9i6dSv79u3TCHQTq5or/ORq3wug8bUDCfzu4tjEfO0ODg7Y2tpSsWJFqlatSpEiRahTpw4WFhYJ4ocEo0eP5q+//pICXUmOIqUC3c6dO9O7d28p0M2mZIRA911VSYEMFz+q/QGSnI2hCrpGRkaaPaHkCnSzQ8Vc6QeSSCQSLVKcK5FIUo06y9/GjRuVoGARODt79mw6d+6cKdcgBbrvN+pJ/p9//skvv/zC9evXExXDCsRGtH5QWLFixRg2bBj16tWjRIkSymeT64zWX3Tcv3+fK1eusGPHDjw8PJTX9TcgBepN8l9++QVnZ+cUfiOS7Iywj+fPn9O3b1+8vb0TVAET9lq/fn1sbW0pUqQIFhYWBAQEcOfOHQICAvD39wdI4NhW2/n06dPp2bOn5n01YWFhDB8+nIsXLya64G/WrBmlS5emWrVqhIeHc+bMGe7evcujR4+AN3YsAul1Oh1ffvklw4cPz/DvUfIWQ2Iz4fhTB+cIypcvT4cOHahfvz5Vq1ZN0E5GoK4U3bt3b/z8/LJMmCvJXhw+fJhx48YlEMXoV+/OSsLCwvj+++/57bffNA52U1NTLC0tWbRoEU2aNJEb1zmEJ0+e0LNnT0JCQpS+0lAyDPEsRT+qHp8FJiYmFC1aFGtra5o0aULhwoWpU6cORYsWxdzcPNGKE8np26RAV6KPsMHu3btz69YtjahVp9Px7bff0qtXr3Tpi8S4vWTJElavXq30ffpBHmqqVavG119//c61S1xcHFOnTmXv3r3K787QukgdKKKunmplZUWlSpWYN28epUuXTtN9StKGeiPYUAVdeNtnFSpUiC+++AI/Pz/8/Py4fv06Pj4+REVFERUVpbSpft7qgCB9u1C3rU5upN9PGxsb4+DggJ2dHY0aNaJAgQI0aNCAokWL8vTpUw4dOsS2bduUhF76lX6lQDd3I57z2rVrWbRoUYK+6KuvvqJ///6Zdj2ygu77S24R6Ir5Q1xcHFFRUezcuZM//viD27dvK8HPop8HNIFtwhfVunVrKlasSIcOHciXL1+C6izSR5B2svueiBToSvTJKIFuRgdWGhLoygq6uY8pU6awe/dupZ/S6XQULFiQPXv2UKhQoXQ9V1LCXGFbYq+zXr16bNy4kYsXL/Ldd98lEOimtYLuixcvGD9+PJcvX6Zjx458//33gBynszPi2UydOpVdu3YlWPsMHz6cL7/8MkOv4dSpU3zzzTd4e3sn2AswMTGhX79+DB8+HBsbmwy9Dkn6oo7DiYqK4qeffuL06dPcvHkz0WPMzMwwMjKiW7duNGjQgGbNmmmSUmcUyRHoqhMYSIFuzuZdwlxhc+o4C7U9b926Nd0Tto0dO5YjR44Ab9fGcXFxFCpUiJUrV/Lrr7+ya9cuIOOFuZKs5119SmICXXEsvLGjYsWKUb58ea5evaoUjFAjjtMX3yZWZVe9J5qYYNfCwoKPP/4YR0dHatWqRZkyZTAxMcHW1hZ4KzJX7/HoC3TFXpK0ZUl2ISUC3Xz58tG8eXMmTJiQ7us+SfqQngLdpCrminlFZglzdTod69evp3fv3llSkEOSfhiqoKvv63yXQPddtqkvzN2yZQtVq1bNMNG4n58fDg4O6dKuRCKR5GSkOFcieU9416QqNc5uMcH7+++/GTVqVILgdldXV6ZOnZrWS0/2dSQl0FV/Vgp0cxf6C+rFixcTERGhVFtSV2VQZwbUD9oVr4vANxsbGz766CP69u2bbpsur1+/ZufOnVy9epUjR45oqrIIp6Z6A71UqVIcOHAgUWGHJOchbMjf359Ro0Zx7dq1BMJcGxsb2rdvT6NGjWjatGmCNqKiorh16xZ//vknW7duBVAc6uqqY2KxPmXKFPr27ZvoNV26dIkBAwYQExOj+c2o29BHbbvinPHx8XTr1o1Zs2Yp/5bO9MzD09OTHj16EBwcrIhe9auMqfs4UQ2qd+/eODs707p1a6WtjHp2Pj4+tG3bloiICM01qp1LcnPx/eOPP/5gzJgxmk2/uLg4XFxcmDlzZraZq505c4aBAwcCJHB4qoPQJNmbqKgopk6dyoEDBxS7UmeRVpOYWBfe2ql+hnOAPHnyYGtrS9myZalatSpFixalbt26WFlZUaRIEU2b76quKwW6EjXCHoYNG8bx48c1AUTx8fGMHj2aESNGpOs5f/vtN6ZNm6b8Xpo1a8b58+d59eqVJsmGTqfDwsKCNm3aMHr0aIoWLZrkPQBs3ryZ48ePG6yqp05WpA4CcXJyonHjxvTu3TvB70mSNSQl0NUPamvUqBETJ06kQoUKREREEBgYyNOnT7l27Rp+fn6cP3+e8PBwAgICNOdQi8PV1XVB21cb6qfV80xBnjx5yJcvH1WqVCEmJgYPDw/NOaVAN3uS2JwwPeaKwq+pXjvFx8czdOhQpapJZiEr6L6/5BaBrj7Pnj3j0aNH/Pzzz/j4+ODp6ZkgwSegjPlizChdujT29vb06NFDmU9LUo+/vz/379/n448/Vl7LzuOZFOhK9ElvgW5mVZWQAt3ci06nIyAgAFdXV54+fapJPNG4cWPWrFmTYcGO76qYW69ePdavX6+c+8SJEyxcuDDdK+g+e/aM/fv3K34I2f/mDH799Ve+/fZbQJscy8nJiRkzZmRosujo6GiOHj3KvHnz8PPzSyByMDU1Zf78+bRp00baUw5BPKdXr15x7Ngx9uzZw7lz5xLEP6h9OOoEawBFixalZs2azJ49G0tLy0y7ZpAVdHMziQlzDe1L58uXj1evXmnsNjY2luXLl9OyZct0vZ6DBw/y7bffEhUVpUmQYGZmRqlSpRTRkBTm5n7EcwwICODly5eULVvW4OeSqqALb2ylevXquLq60qhRIx49esTp06cJCQnh3LlzvHz5Em9vb02b6r5ZvbZ+156oeh6pjrszNTUlX758lChRgg8++ICKFStSq1YtJk6cyL179zT7A+o5sxToSrIj7xLoivdiY2OVWBZJ9iU9BLpJ+Y+EXyozhbl9+/bl0qVLdO/ena+//jpT5s+SjMOQQBe0e0KJCXSzUzVnkfDL1NSUSZMmUaJECblukkgk7zVSnCuRvAeISdXjx4/59ddfKVy4MNWrV8fKyooKFSoYDGITDpXkBLjduHGD7t27A9ogxk6dOjFv3rx0vx9DSIHu+4l6wbB+/Xrmz58PaDNNGsrmJz6jFumq7US9EVioUCEmT57Mp59+CqR+00Xfzg4fPsy///7LsWPHCA0NVc5rampKdHQ0VatWZevWrVhYWEgbzWVERESwZMkSfv31V0121tjYWOzt7Zk1axa1atVSMkuq+2N9Wzhy5Aj79u3jzJkzREdHazK0qxfcX3zxBV988UWCa9HpdMTExLBy5UrWrVunET+oM1iqM1oaCobX6XS0bduWRYsWAdm/CkduQqfTERsbyxdffMGJEyewsrIiMjIyQRVI/X5L7cwxMTGhXr16tG7dmoYNG2rELunlmNHpdMqmY0REhCZLq9xcfL+5ffs2vXr1Ij4+XhOMXbFiRXbt2pVtElTEx8czZswY/v77b01G/7i4OJo2bcpPP/2U1ZcoSQY6nY5z586xdetW/ve//wEkOVc0dLx+Jmkxn1Tbhb4QzN7eHiMjI2rVqkXRokWpUaMGlStXxtbWFjs7O4PXKvpB8X8p0JUI9LOOCxtu3LgxS5cuxcLCIs1jqLD1PXv2MHnyZOVcX3/9NR9//DGdOnUiJiZGE8gRHx+PnZ0d7u7udO3aNdF1k3qeGBQUxLFjx/j99995+PChsi4SiPNWqVKFatWq4ebmRpEiReRmYzbjXQJdtfigRo0aTJ8+nfLlyydYLwQHB6PT6Th//jxeXl5cv36du3fvEhkZSXBwsCbBllj3GMr4r0Yttkyqn1avo/Q/LwW6WY86mdX+/fuxtbWlSpUqFChQACMjI8zMzDSfF88nOetSnU7HpUuX6Nu3b4KxtVmzZqxcuVLxD2UWKRXoSnvMPeQmga7+mj4sLIzg4GC2b9/OrVu3uHjxovKe8F+J35k6SFm816BBA4yNjRk2bFi6Vy/K7Tx9+pTu3bsTHh5OgwYN6NGjB5UrV8bR0VH5THb0wUiBrkSf9BLoZnZgpSGBrrpKmxTo5lwCAwPp2LFjguRCn332GUuXLk2386SmYi68EUIKv2piAl21AK1OnTr079+fJk2apPgaZb+bdaR0LeDr68vw4cO5e/dugjZGjRrFiBEjMnR98fLlS3777TfWrl1LSEiIZm0fGxuLra0t27dvz/ZzXcnb372/vz/Lly/n33//xdvbWyP61t+jVPvW1XvRwvc3e/ZsnJycMnx9KwW6uZuUCHPHjx/Pixcv2LZtW4KqpGPGjGHYsGHpem0vX76kV69ePHz4MEGCAoEQf8m989yLeI5PnjyhX79+uLu70759+0Q//64KusbGxpQpU4Zx48bRokUL5bjQ0FB0Oh23bt3i0aNHPHjwgIsXLxIeHo6fn5/mHKJPVvshRftqkrsnWrRoUSIiIjT7PWo/vfgepEA3+/M+jnlJCXTFGKJO3P4+fkc5ibQIdGNiYpS9p+wgfuzXrx8XL15U5touLi5MmTJF7pnncFIj0FXvfWZk0sGkUNumm5sbFy5cwM7OjubNmzN8+HBKlCiRLueRSCSSnIgU50okuRwxqfL09KRnz54EBQUBYGVlRXx8PJUqVcLW1pZKlSpRtWpVChUqRNWqVZVJ2rvajYuLw8fHh+7duxMcHKxxpFSpUoXNmzdjZWWVKSKt1Ah058+fn2hVH0n2Ru3g2LZtm5KRTEz8xWLFysoKBwcHmjVrRqlSpTA3N8fU1JTQ0FD++ecf/Pz8ePjwIfA2AFdtS2KYnDt3Lp07d07Xe4iIiOD58+esWrWKhw8fcu/ePQA++OADtm/fjoWFhWbjXZKzEYvj69evM2XKFB48eKCpUFugQAF++uknqlat+s621AtmDw8Pjh8/zvLly5UAInjT7xkbGxMTE0Pr1q1ZsmRJou3dv3+fDRs2cODAAY1TUV/gKdAPgu/RowczZszQ3Kckczly5IhS1Undj1lYWPD69esEmarhbZZT4Wi0tLTExsaGAQMGUKVKFT766COl/fR4riEhIRw9epRVq1bx/PlzzM3NiY6OBuTmYk5HPSa/fPkSGxubZD/HR48e0bVrV0VUDm9s09ramlWrVlGzZs1sYxNLly5l1apVCRJ8FClShJ07d1KoUCG5+ZIDSGytYKiCrv4YKAIj1IIBQDNequ1YvyKO+jVTU1McHByoWbMmDg4ONG7cGFtbW0qVKoWVlZXmGtSbgFOmTJEC3fcUYUNr165l0aJFCSrX5s+fn507d6ZrNtIDBw7g7u6uzA3btWvHwoUL+d///seYMWM0Al3hHyhevDgbNmygRIkSic4f9K/v1atXhIaGcu7cOfz9/YmKiuLVq1c4OTlRvHhxypcvT6FChdJ8P5LkkZpxNyUC3dq1azN16lScnJyU4/X7UEFERAS+vr5cvXqVgIAATp06RWhoKE+ePCEqKkr5nH4iI/Uc11C7iaEfOKoW6FaqVInx48fTsGHDFH03krShFuZ2796dO3fuAGBra0v+/PkpUaIEzs7O2NvbU6NGDfLly0fhwoUTTfBiqF8KCwvDxcWFx48fA2/H9TJlynDgwIEs8ckkR6Dbo0cPvvnmG7n+zmVcvnyZKVOmJCnQ7dWrF66urjlGtGBo3L9z5w6XL1/m+PHjeHp6EhISorwvbF7YttrPe/jw4UQrykgS8vTpU/r06UNAQAAWFhZERUUpCYI+//xznJyclKAeyH7+GCnQleiTVoFuYsJcEUyZUcFrsoJu7sTT05MuXboQERGhEbqKxNXpsS5PacVcIcxVB0mKa3iXQNfMzIxmzZoxc+ZMJXGsJPsSFhaGmZkZFhYWKbI1nU7HV199xb59+wwKw9avX0+DBg0yVGTg7e3NmjVr2Lt3r7J3BW/nuz179mT8+PHky5cvQ84vSTvCbry9vZkyZQpXr15VnqV6jDNkR/qvqRMMlCtXjmnTplGvXr1MuweA3bt3M2vWrHcKdIcMGaLsm0ohTvYkKWEuaNfV7u7uDBo0iG+++YadO3cqvkWxhzNo0CDc3d3T/doOHjzItGnTNHuianuSSa1zN2obdXV1xd/fn3HjxjFkyJAkn3FiAl2177p8+fKMHDmSzz77DMBgnFl0dDTh4eGcP38ef39/Tp8+zYsXL/Dz81NiSdWIuWZy90TFa/oJNsWx6v118Tkp0M2epHaumVvQ35vftm0bhw8fJiYmRlOoSPbNOYPUCHSXLFlChQoVgOT5j7Zs2ULVqlUzXJgr+nUxV3BxceHrr7/WxJZIch76Al3xfNV/C4HuBx98kGTSQfF3ZovGxbXa2NjwySefMGzYMCnQlUgk7y1SnCuR5GIScz6KTJXqil9qSpYsibW1NTVq1KBkyZKUKFFCmdg5ODgYPJebmxvnz5/XvFawYEEOHDhA/vz5M+we9UmOQFcsrEQFtPTOeCjJXI4cOcLUqVMJDw9PsAitV68erVq14tNPP8Xe3j7BsVFRUbx48YIdO3awc+dOIiMjlU0WQ4GPM2fOxMXFJd2uXdhjZGQkoaGhbNiwgWfPnrF48WIpzM3FTJw4kf379ysbjnFxcdjY2DB37lxatGiRbOemOlBx2bJlrFy5UnlP9Hc6nY6uXbsye/ZsIOnNQg8PD/bu3cv27duJjo7WVEJTHys2SQHKli1LmzZtlKq8UpibdYSEhDB+/HjOnDmj2TBu1KgRDg4OPHnyhAsXLigZqfU3bNTZyU1MTLC0tKRt27Y0adKEhg0bYmFhoZwrLQ74ly9f8ueff7J27Vo8PT2BtxugIB3YORG1PWzatIldu3axdOlSypYt+87nqdPpCAgIoF+/fjx+/FjTdwEMHTpUEZ1nJeIeb9y4Qd++fYmLi9NkAbazs2P//v2JzpMl2Y/kJPOBNxsyjo6OFClSRFPdC7QVvsS8UR0cLlAHIqkTJcTExGg+J0RETk5OFC5cmEqVKlGzZk0KFChApUqVlDY8PDxwd3dXgimlQPf948aNG/Tu3VtJpAJvn3+fPn2YOHGiZtxODWJOt2TJElavXq0k1OjevTvfffcd8GbDZ+rUqcrcQZ0lvU6dOqxbt+6d16FevydnbvE+BgFkNmLs9vX1JSQkhIoVKyb7O1evXwcNGsTp06cVga56TpCYQFcgnrOh9fDr168xNjbm7t27eHt74+HhwZUrVwgMDOTRo0cJquuq1/fqoCF9Ea7+a+rX1UFD+fPn5+eff5b9ayYh+qKYmBj69evH1atXsbCwIDo62mBVBhG8Xa5cOUqWLEnRokWpW7cutra2VKxY0aBgV6fT8erVK9zc3Lh7966mX7W3t+fQoUNZFhSelEBXiBWlXzN3khsFumB4vR8bG8uDBw+4du0a9+/f59SpU0RERBAQEKDpt+3s7Ni2bVuOut+sxtPTk169eil7Quo9IDFWFi5cmGbNmtG+fXsqVaqEtbW18pnsMu+SAt3cjboKSXJJrUA3qaoSGVExV5/kVNAtX748Q4cOpVmzZprfoyT7IaqQif1C9V5Ps2bNWLVqVbru733xxRccPXo0WRVz9c+r7s+PHz/OokWLePTokWaNJGIFihYtyp49e7Czs0uX65ZkDE+ePGHatGm0aNGCnj17YmlpmaxxW53QfcCAATx//jzB3lCxYsVYsWKFwbV6enLnzh1mzJjB9evXNWsdnU5HqVKlWLFiBeXLl5djeTZEPBMvLy9GjhzJ/fv3gbcJzuBtJUf1Xo/4t7ofE6j7s/Lly/PDDz9Qvnz5DN9zfpdAV30fUqCb/UksNk4IaNTr6a+++or+/fsDMG3aNH777TfN3k1sbCyffvopy5YtS/d4nXv37vHFF1/g5eWlmbvqX6MU5uY+DNkovBHbLFq06J3HJ1egO2rUKD755BPNOcFwHE98fDxxcXE8efKEx48f8+zZM86cOUNoaCg3b97UfFa9Jyr696T2RMXfAv29IHWiomrVqjF+/Hjq1Kkj+9VsQGrnmpmB+joyep6gPtfNmzdZvnw59vb2zJ07F5B9c04jNQLdLVu2cPnyZSUeMquqkqrFj6L/NTMzUwphzJo1i27duqXLeSVZh6EKuvq+zrZt29K/f3+qVq3K/v37mThxIpD11ZzFv0U8gK2tLXXq1OG7774zGK8vkUgkuR0pzpVIcinqDRZ1EIa6so564awORldXgxIULFgQc3NzatSooVSjKF++PAULFsTe3p7JkyezZ88eTbCQmZkZu3btoly5cpm6KE1KoCsCUeLj4+nQoQPz58/PlGuSZAz37t1j1qxZXLp0CUCTta9t27aMHz8eBwcHZYGq3vjR/w38/fff7Nu3j+PHj2sC3fUXOt988w29e/dOt3vQvw5xfVKYmzu5cOECw4YNUzb3BD169ODLL79MdkZytd2sX79e6cvUlaJ0Oh2dO3dWnIOJ2ZS6LV9fX86fP8/cuXN59eqVJthZ7Ug3NjamV69eNG3alEaNGgFSmJsdWL58OcuXL9dkpy5QoABTpkzB2dmZ06dP8+OPPxIeHq5s2ugLFPQ3zPPly0fJkiUZMGAAFStWpGLFisr5UvvMX758yZEjR1iwYAGDBg1i+PDhgHRg50T0hbmiv6lduzazZs2idOnSyXquX331FXv37jUYEPbjjz9qKvlkJf7+/rRq1Yrw8HCNYMfY2Jj9+/fLCk7ZiKQ2Cd+VzEcdnGhpaYmTkxMLFizg9evXeHh4cO7cOTw9PXn+/Dne3t6aeSK8DaJQt6M+p/pz6o1oMf/TF5aZmppSpUoV7OzsaNSoEdWqVcPb25tly5bx5MkTxTGvH7whBbq5E51Oh6+vL0OGDOH+/fuajUCdTkelSpWYNm0atWvXTpdz9enThytXrih2OX78eD7//HMAQkNDWb58Odu3b1eCykXQWt68eZk4cSJdu3ZN0Ya9+rebWCVVScah9iO1adOGChUqMGfOHJycnFIl0NWvoJsSgW5iJCbojo6O5urVqwQGBvLvv//y4sULnj59yosXL5R+WKCugq7upwX67asDmDp27Mj333+f7OuVpB51xVxXV1euXbum+HbUySn0g2bVVU7g7dhetmxZChUqRKVKlahWrRr29vY4Ozuj0+mwtrbmxx9/ZPXq1Qn8QVu2bKFOnTpZ9j3oC3TVPqMPPviAbdu2YWlpmWXXJ8k4cqtAV42htWJERASBgYFcu3aNly9fcuvWLfz8/HB3d89wkUhuQl0xV+wJqcdQ/TVMkSJFcHR0ZPjw4ZQsWZJSpUop72UHX40U6OZOnjx5wvr16+nRowcffPBBio5NqUC3ePHiih1khTBXkJRAV4zvtra2rFq1ipo1a6bbeSUZw+PHj+nWrZuS9Ff0sWXLlmXv3r0GE8OkhtOnTyuJLc3NzRWRUXKEuQL1+ubs2bOMHz+eoKCgBNXLGjZsyJo1a7JN8L0kIeq4j8qVK9OjRw86deqUItFEeHg4K1euZMuWLcocAd76uT/55BMmTJhAsWLFMvReTpw4wdChQ4G3/bEY09V7m5Lsg9pv1L9/f7y9vTUxRvpJtAoWLIilpSU2NjbEx8fz33//YWJikiBBtLBBcXyVKlXYvHkz1tbWGT6XkxV0cwcpqZirFuYCLF68mDVr1iTY0/nwww/ZtWtXhjzjdevWsXDhQsBw0sCJEycycOBAzb1Jcjbq/rN3794EBAQo87ratWvz888/J2vumBqBblI2bCjWQ8wnb968SVBQEOfOnePBgwc8f/6cR48eKYlc1Yg+XR1nkpRIV32cSEA4cuRIRo0albwvVJJhpMdcM6MQ9hoUFKSIvTJToOvl5aVUgZR9c84kpQLdwoUL4+vrC2QvYa66KFX79u1ZsGBBupxXkvUkp4Ju165dKVq0KMuXL1fey+qKucI21YmF1QnfJRKJ5H1DinMlklzM06dP6dmzJ8HBwUplCUOZy9ToC3aFA0VdDUpMpuBNsEPDhg3x8/Pjf//7X4Kg84ULF9KuXbsE51EHzmUESQXdAxphrlw05zyEg2Xbtm2KWEJdBbpdu3Z8//33yXLCqJ//s2fP2L59u7KRLWxZXd3sp59+omnTpul+T/qB6HIjJ3eyY8cOpk+fDmjFrimxq8SEuWIBbEiYq++UjIiIIE+ePImew9PTkwsXLnDq1Ck8PT3x8fGhSJEi2NraUrt2bRo0aKAJEJL9aNYibCI8PJz+/ftz8+ZNTbZ+R0dHfvnlFwoXLszDhw/5999/OXDgALdv31baUDts4G2yA9G3WllZYWNjQ+/evalduza1atVK0zWHhoby4sULRTQmbSjnkZgwV/RFzs7OzJw5k/LlyyfahnjuYiNaP0u+mZkZ7u7u9OvXL8ttJCYmhsjISDp06MCLFy8SJPHYu3cvZcqUkUkKsgHCVoKDgzEzMzNYbeZdAl11kgKAjz76iPnz51O4cGHlWD8/Px49eoSPj4+SSfratWtEREQoznF1Zn31GkwtKjKULVotUldfs8DJyQlPT08iIiKU12QF3feLH3/8kRUrVgBvhYPCxtq3b8/cuXOVPjU1/ZJOp+PgwYN89913REREKFVM58+fT4cOHZTPXbp0iXnz5nHr1i2NQA6gRYsWStIQub7J/qiD2ISYB970f5MmTaJy5cqZXkE3OSRl497e3vj4+ODl5cXZs2cJCgri8uXLREdHG+ynRQCeuDYxnxbXrRbmZvW85H0hJiaG/v37c/nyZczNzTWB45CwArI64ZDadykqfOsnIqxQoQJ58uShVatWnDp1inPnzmk2kePi4li5ciXNmzfX9GOJJX3LKNQCXQsLC6Kiovjwww/Ztm0bFhYWMrlbLuZ9EOiqSaxPl/OIlBEWFkabNm3w8/NT+ozEvj/9pAZWVlY4OjrSuXNnmjZtmuR6PrORAt3chaenJ927dyckJIR27doxePDgFM8HExPografbNu2LaNHj6ZUqVLs27ePSZMmAZkbWKnGkEBXEBcXp1Rpk2R//Pz86NixI8HBwcBbYaODgwMHDhxIt+rH0dHR7Nq1i9mzZxMXF4e5uTnx8fHJFuYKRH8ZGxtL3759uXbtmma9rtPp6Nmzp7J/Jcl+qNfrog+rUKECffr0SbFo4vbt2wwZMiRB/6nT6bCzs6N37964urpmSJUb9TVu2LBBWWer+9wyZcqwfPlyypQpk+7nl6QOtbCsT58++Pv7Jzr21q9fn1q1atGrVy8sLS3JmzcvADdu3MDT05Nly5bh7e2tjMOGElg2b96cH3/8MVP2W2QF3ZxNaoW5Yn0hYjfUc0MjIyPKli3LwYMH0/Vaha08fPiQL7/8kocPHyaIr6tRowbbt28H3j22S3IWvr6+tGjRgtjYWE0SLWtra3bt2kXp0qWT1U56C3TVJBWz9urVKx48eEBAQAD//vsvwcHB3Lhxg5CQEKKiooC3/ll13JK4Ln1bV+8XyISY2YP0nGumN6LP9vLyokePHtSuXVtZN2emQNfQvyWZg6HvPTXPQj3v2759O9u3bzco0FWfI7sIc+Pj4zV9p4x9z50kR6ArUM8nsqpiriHbVI/rss+USCTvI1KcK5HkUkJDQxkxYoQSwGYoc1lyAsRBWzVEHSxuqKKi+v34+HhatmxJxYoVKV++PBUrViRv3rwUKVJEcy3qiqbiHOmB+nquXLnCunXr+Oeff2jXrp2SiVAuTnIuvr6+dOvWDX9/f02QZf369Zk7dy5FihRJ9gQ/JiYGMzMzIiIi6Nu3L7dv31ZsRyxe4E0Wy4YNG8qFgyTFiGCJQYMGcfHiRY3w5+OPP+bnn39OVjupEeaKQGRx3L179zhy5AiffPKJwaoEhvrF0NBQbGxspN1nY3Q6HTExMfzwww+sX79eI8iJjY3l008/Zc6cOVhbW6PT6YiNjWXVqlVcv36d06dPK+2os1wL9KvpFixYkGrVquHq6krZsmUpXLiw8tnUjKtyLM55JCXMBZQ54qhRoxg5cuQ723v27BkuLi4EBwdrqqDFxcVha2vLjh07KFOmTJaPvzExMbRv354nT55oKkvky5eP/fv3a34LkqxB9CePHz+mZ8+ezJ8/nyZNmhj8bHIFuuIzderUYeHChRqBrn5bjx8/Jjw8nMuXL+Ph4cHjx4+5desWZmZmREZGas4vHOjqSj36m9PwVoShDk4SqDeJ1MfrZ8+UAt3cgzrYyN3dnRs3biToNwFcXV2ZOnWq5piU8OrVK6ZPn86hQ4eU1xwdHdm1axf29vaa38C2bduYOXMmoA2oAPjuu+/o3r172m5akuEYytwvErzpdLo0C3QzooJuUiQVjOHp6UlYWBhnzpzh4cOHPHjwgPv372NiYqJJeABvNjXj4uLkJncWodPpGDlyJMeOHdO8LtYmiVVATsyfKVCP8eJzZmZmAEoVMvVY2qxZM3r27Im1tTWVK1fG1NTUYCULcZ6MCgby8PBg3LhxPHr0iOrVq7Np0yYpzH1PeN8EupL0YcqUKezevRvQ9oXCbtTrWdEX6u/3lCtXjkqVKjFkyBAKFixIwYIFlfeyaixMqUDXxcWFgQMHYmFhkeX+BMlb1MIJMa63bt2aYcOGpXjdmlyBbrdu3ShTpoxSTSSzK+bqoxboqn1pMhlMziE+Pp6QkBB69erF06dPEySrWrBgAe3bt0+380VHR/Pbb78xe/ZspZ9LiTBXja+vL506ddKIisXvZdq0afTp00faXzbEy8sLFxcXQkJClMRFwhZSK5o4ePAgEyZMABJWrnV0dGT48OG0adNGEVamJ+Iavby8+Oabbzh79myC39GsWbPo1q1bup9bknIMiR8TG3NdXV3p06ePIqwWiWDUNunr68vatWv5559/eP78uRIfpO577OzsmDhxIp06dcrUe4TkV9AdOnQodevWzZTrkxgmtcJc/ec9ZcqUBP2mpaUlf/zxB4UKFcqQMXHixIns37/fYLLYtWvX0qhRo3Q/pyRrefbsGW3atMHIyEgRs5qYmGBubs727dupXLlystvKSIGuPu9KjhkeHs7Nmze5efMmnp6eXLlyBSMjowS+dvWeqGhXp9NJv3s2ISPmmumFWpjbu3dv/P39MTIyonPnzsyZM0fzGUnuISPjzpIr0FXPASFrq5JKYW72ISV9YGr7S0MCXbVuA7R+cLVvc8uWLVStWjXLqjlL25RIJBKQkRsSSS7F1taWOXPmEBkZSWBgIOfOncPX15e7d+/y7NkzgAQB4iKYVz+LmXrRIf4WznZ9Ua3+Z//++2/+/vtvjI2NsbKywtLSEicnJ+zs7KhZsyalS5emSJEilCtXjtjY2AQBburAOjGZSy7qwJOaNWvSr18/6taty4ABAwA5AcypiOd2+PBhTVZWExMT8uTJQ9u2bSlUqBBAshY48fHxmJmZ8fLlS4YOHcrt27cV56VamLtmzRpFmAsys48kZYj+1d/fH0BTlUkEt73LplIrzFUHZVy8eJHFixfz+PFjzM3N+eCDDxL0hepAebGAtra2TlAlSJK9MDIywtzcHBcXF3bs2EFERIRGpHPr1i0uXrxIs2bNiImJwdzcnNGjRxMUFMTx48f55ZdfePr0KS9fvtQEvAtBArzdNAkKCuJ///sfV69epWDBgnz++ec4OTlRoUIFxTZS0kdKe8pZJCXMVQuyOnTokCxhbnx8PA4ODjRp0oS9e/cqm+UiyCE0NJQFCxYwc+ZMChQokHE3lgzUDk6BmC8IUYck61AHYvTv35/Q0NBEMzyDdq2grgZ+/PhxZW4pnreRkREXL15kwoQJikBX7YQWbZcqVQpjY2M+/PBDpb3Hjx8TGBjIv//+S2BgINeuXSMwMJDQ0FDgrZhd/RsS/be+WFc9f1CvzfT/L64tNjaW3bt3Y2RkRK9evQwm5ZDkLMSY6ejoyEcffaRUrBXjtXjuW7duxcLCAnd391SNs2vXrlWEuSLZl6Ojo8bmxf/79OnDzZs32bt3r2KjYkPm0qVLdOnSBWNjYzneZ2OMjY3x8fGhTZs2il8mOjpamROeP3+e77//PkUCXXWwzbp16zQCXXXFUWNjYy5dusSsWbPSTaCrH4Sh7qeLFy+OsbExVapUAd6IMZ8/f46/vz9nzpwhKCiIS5cuERISQmBgIADt2rWTG4lZQEREBIMGDaJt27b4+vry33//4eHhQWRkJE+ePNFUwVVXsAE0QeUC9RiptmFjY2PF76MOvBDt//PPP/zzzz8AlC5dGmtra6pUqULZsv9n77yjo6q6PvxMeiONQAoEQu+9d6RYAKWJgHQBsSOCDV/lQwUbKoodQaWLKCIggjTpndBLCKSRTnrPlO8P1rncOymkTBqcZy0WyWTm3jtz95yzzz77t3d9vLy8aN26Nfb29kqRFmF/aruzhN00bdqUjz76iB9++IFPPvlECnPvIzp06MCCBQsUga5aCC7G2rVr1wJIga5EGW8GDRqkrD/EWGhnZ8fAgQOJiori2rVrJCcna7rHi7FTrMmvX79OcHAwx44do06dOkycOJE2bdrg6+tbYXOhiFN5eHjwxRdf5BHoiv0jo9FIZGQkGzZsIDU1lVmzZsk1eyXBXDgh1sDbtm3DYDDwzDPPKH5aUbC3t6d///4AeQS66nXxhg0blNeok9rKOnmtILy8vPj44495/fXXlaKJUphbtbCyssLT05P69esTGhqqjEEilnTjxg3AcvuIIu5vZWXF/Pnzadu2bbGFucKurl+/TkZGhqawm+jIK0Rm0v4qH5s2bSI5ORlra2tlvS7mvKCgIFavXg3cHkscHR2LZHsPP/wwly9f5scff1SK/Ao7iYyM5Mcff8TDw4PevXvnW6CoNIhr8/f3p3Pnzhw+fFj5m7DNAwcOMGLECEDaZEVSkPhRFLdSix9feOEFnnvuOc0+oXmMxmg04u3tzcyZM6lVqxZr1qwhPDwcuBOvN5lMJCQksHv3bgYPHlwufpz4PllZWTFy5EiAPAJd8Xe9Xs+JEyeA28UTevbsWebXJ8lLYbYJ2u5iBQlzAaVDuLpQtU6nIzMzk7S0NIsX5RXnf+aZZzhx4gSRkZFKrp34Pv3888+0aNGiTLqXSyoOJycnXF1diY+P16xhMzMzOXr0KM2aNSuy79iwYUPGjx8PkEegK2z52rVrLFmyBICBAwfmW8SwKOQneBTH8fHxwcrKikaNGilzdmRkJMnJyezfv5/Y2FgCAwOJjo4mNTUVvV6vKQomBTyVh7LwNS1BfsJcUYThjz/+wNramvfee08RLcoczqqPGAvEeHD69Glu3rzJ6dOniYiIUO6xo6MjzZo1o0WLFjRp0gQvL68ijyFqv+/JJ58EUAS66jxJ8zwNET/65ZdfpDD3PkY9zkRFRZGbm0tYWBg2Nja4u7tjY2NDw4YN8zy3OAwYMIBFixblEejmV+Tf2tpaIxovT2GutE2JRCLJH9k5VyK5BynMucnJySEhIUEJgiQmJnLmzBliY2NJSkoiPj5e83x191B14pu5cDe/16irXKqDn2KRI7Czs6NevXq4urrSqVMnatSoQUBAAA0aNMDGxiZP0FEdUBLHK4z8FuDSAaz6vPDCC+zcuVNjZwEBAaxZs6bIgWphB2lpaUybNo3AwEBlASEWL3BbmNu7d2+N8EHYT3x8vKZzgERSEGFhYYwdO5bk5GRNR9NXXnmFp59+utBqfpYQ5v7777+88cYbpKenA1CrVi1+++03ubFzDyHGtEWLFvHTTz8pmzpi7FJ3jje3t5s3bxIWFsaSJUsICQkhISEBuDPHquf7/IRhdevWpU+fPgwfPpw6depoqqnLQPi9Q1GEuSWtcvv333/zyiuvANoOziaTiRo1avDcc88xcuRIiycCFRWDwcCNGzcYPny4xqc1GAy0aNGCn3/+GWdnZ+lfVhDqro9jx45VBFUzZsxg1qxZhdqhenOloA666ueqO+gWNHer1yvm501ISCArK4srV65w4cIFbt68yeHDh8nOzla6lgjU4jYR4FavtfLrDKj+nooKrgDvvfceo0aNKsGnK6lsiHuclpbGlClTOHfuXIHdKkaPHs3MmTNxc3NTxAzmm9RqO05LS2PZsmV8++23AJqEpiVLlihV1gXCxk+cOMGbb75JeHi4xk9wcHBgw4YNyiaUpPJy4sQJZs2aRVxcnGIjaoGLyWT5Drrm4kVLd9AtDHURhvzGaYPBwIULF0hKSlK6tMg4UsWTmZlJbm4uV65cITU1lcDAQIKDg4mKiuLKlSvY2NgonScE6s4R6uJFQL7zqTnCXkW3H/NCLWI93bx5c/z8/AgICKBt27a4uroWOvaJc5fUrqQw9/5DdtCVFIeMjAymTZvGqVOnNJ2Yunfvzttvv01QUBDbtm1j27ZtymvUgkVAibmrx822bdvSoUMHJk6ciIuLC87OzvmuQ8qau3XQFX6vSBqaO3duuVyXpHAKEk7Y29sr8/d3331H3759i33sgjroqrs3wJ2ia6KgUHl3zDUnPj6ep59+Gm9vb2UNJn3OqoEY89577z1Wr16dp1tZzZo1Wbt2LbVq1bLoeXNycti/f78iSi+JT7hw4UJWrFihjNnCR/b29mb9+vVl1iFQUjqys7NZsmQJf/zxR569G/OuZsURTVy4cIHFixezf/9+zTGFD9CoUSPeeustOnXqZPFuZOL6srOzeeKJJ7hy5YompuTr68vmzZtxcXGx6HklRac4XUnnzJnDtGnTinRcdWzzp59+Ys2aNSQmJio+pfDlAL7++mtlzCsPitJBV/2+Z8+ezfTp08vt+iS3KY5ovDBhLsDVq1cZO3YsGRkZyj0WRWRWrFhB+/bty2Stk5yczP/+9z/+/fdfTWzfZDJRs2ZNvvnmG1q2bCm7Qd4jCBuaM2cOW7ZsUcY5EWucPHkyb7zxRrGPW54ddAujsD3RtLQ0MjIyCAkJ4dy5c0RFRbF//346derE+++/r3m9pOIoK1+zNBQmzIU7e+APP/wwixcvLrPrkJQ/t27d4r///mP37t0cOnQoTyduc9q2bUv79u2ZMWMGzs7OeYqrF8TdOuiK8VSg0+lYtGgRgwYNIicnB1tbW4t8B2RX0sqP+KyzsrJITk5m06ZNBAUFcejQIaWwENwWjdvY2NCqVStq167N+PHjqVmzJu7u7kDx5+CCOuia6zXs7OxYvXo1rVq1sujeobRNiUQiKRkyg0MiuQfJz7kRTo+1tTU+Pj74+PjQunVr4HZlH71eT0xMDCEhISQlJXH06FHi4+MJCgoiOjpaSQZXI4Ka6good+u0K/4uqhyJCtZXrlwBbnd1hNuLaA8PD5ycnGjVqhXu7u60atWKevXqUaNGjQIrtKudWLVAuCifkaRqYDKZiImJ4fTp05rEctEVwNPTs0hB6pIKc8XfATZs2MC5c+eYNGkS9evXL9s3LqnyZGVlkZGRoQQLxZiq7tKTHyUR5ooOKnA7YWPVqlWa18HtCl4HDx7k0UcfleLJewRhQ+3bt2f58uWa8cpgMLBlyxa6d+/OiBEj8nR0qlWrFrVq1aJdu3YcPHiQ3bt38+effyqvVW8MqoOQIgAUGhrKihUr2LNnD3Xq1OGZZ56hdu3a+Pr6yq7L9whlKcwFGDRoEHv27GHz5s2a7qA6nY64uDh+//13WrRoQevWrStkzLK2tiY2NlbZ3BfvGaBdu3ZUq1atXK9HcgextlAnYoiujykpKUDhvn9RO+iK55h30M3P7xTnUxc4ENfp7u6OlZUVfn5+PPDAA8DtRIzs7GwOHTpEVFQUJ06cICQkhPT0dJKSkjSVpNVCDHXChvjfPLkSbn+/pDD33kEkSLq4uPDFF18wefJkpSKr6Hom5udff/2ViIgI+vfvz6OPPqqMVeoxVNjSvn372L59uzL/i41tnU7HAw88QJs2bfJci7Dxli1b0qBBA8LDw5Xj2djYkJWVxdGjR2nYsKH0Ayo5bdu2ZdGiRbz//vsEBQUp45o6sebo0aN8+OGHvP766zRv3rxEHXSnT5/O/v378xy/LDroFoY4v3khGp1Op4zTamGItN+KQy36cnR0xNHRkU6dOgHQr18/5Xk3btwgNTWV48ePExMTw40bNwgKCsJgMBAXF6fx3dTjFNzptKve0FbHM82FZ+oEuqSkJIxGI4cOHdLETXU6Hc2aNcPDw4PmzZvTuHFj5Wdra2vc3NyA/H2UosS0pDC34qioxFjZQVdSVIxGI05OTrz00kvMnDmT5ORkrKys0Ol0HDp0iKVLl7Jw4UIefPBBevXqxc6dOzl8+DCZmZmadbiI/aiT28+cOUNgYCD//fcf9erVY/r06dSpUwd3d/c8ezJlSWEddMW1m0wmHn30UUWYK2OfFUtBoh51YY3XXnutRMJcKLyDrnqfUi2qqWhhLtzuoPvLL78o6zTpc1YdxHgyePBgNm3apBH0WFtbk5GRwYkTJ6hVq5ZFfQc7O7sSC3NNJhPJycmcP39eGS8NBoPiww4YMMDi3QEllsFgMGBvb89LL72EwWBg06ZNJCQkaNbTJe1q1qJFC4YPH05UVJTSKUodewwKCmLhwoW88847dOjQwaJzqdqXrVu3LleuXFHei62tLWlpacTHx0txbgVRnK6kr7/+OlOmTAGK5nOJ9bWLiwvjxo0jMDCQgwcPKj6eKPxvMBg4e/Ys/fv3L7c58m4ddNVFuwYPHiyFuRVAcUTjdxPmiueDNv5kNBoxGAwEBwfTvn37Mnkfbm5ujB07ln///Re9Xq+IG8Re5LfffsvXX38thbn3CGJcFIVb1OttgHPnzil7McXx78qzg25hmO+Jwp3vnJOTEy4uLtSsWZPOnTsDtwW7Yn6Xa6CKpyx9zdJcU2HCXHVOZ/PmzS1+fknFkJiYyOXLl3n//feJjo4mPT1dGR/UxQcAZc7U6/WcPXuWwMBATp06xaOPPsojjzyCp6fnXceXonTQFX6fiDf+8MMPNGzYkMaNG+cR75YEKX6sGogmAd9++y0XL17UrF3FOKnT6cjKysJkMnHo0CEAdu/eTYcOHRgzZgzdunUrtr0U1EFXfRzRXEDYfFHF6XdDdsyVSCSSkiM750ok9ynmlaLNnSLhpCUlJREbG0t0dDQnTpzg1q1bnDt3joSEBDIzM5UOjIL8OuwVNMyYB32EwFIIfs0FveJ/V1dXGjVqhJubG127dsXb2xt/f3/q1aunJClL7m3Onj3LE088kefxBQsWKBslhVFSYS7cCZx+/vnn/P7772RmZjJ//nyGDBkiFxiSQgkODmbUqFFKVTcxphVWCbOkwlz1Rk14eDhTpkwhIiICe3t7cnJylGM/+eSTvPPOO2X2niUVx5tvvsnGjRuBO/Or0Wjk4Ycf5u233863Y7L5GLZnzx5OnDjB2rVrFbs1F5qZi8DUifMNGjTgscce44EHHsDf37+s37KknFixYgULFy4EyFPNWT0WlWRO3Lx5M++//z6pqamaYwh769mzJ4sXL8bFxaVc51xh2wsXLmTVqlXK+xYB/3nz5jF27FiZ7FtBmEwm0tLSGDp0KJGRkdjZ2aHX6zEajXTq1Inly5djbW19V3tRrzcs1UG3KOcz34SH27afkZFBREQEFy5cIDY2loMHD5KcnExQUJDmOCIIr+5EKa5XBsPvbcT9PHLkCHPnziUyMrLADrrOzs74+Pjw8MMP06BBA7y9vbGxsSEpKYmIiAj+/fdfgoODiYuLA7S+prOzM3PnzmXEiBGFXkdgYCBPPfUUGRkZms3RIUOGsGjRonL4RCSlRa/Xc+LECRYsWKAIdIUdqAsVdO7cuVgCXXFskVikFuiK46ursJdnB11J1Sa/buBqEhISSE9P5/z586SkpBAYGEhISAhxcXFERETke0y1kMcccwGvOl6p7vBjMhXcabd27drY2NjQsmVLatWqRe3atWnbti3Ozs74+fnle03Sx6w49Ho933//Pf7+/jRs2JCmTZui1+uxs7PTPK+wDiGWRnbQlRSViIgIZs2axblz5xTfTownc+fOZdy4ccDtzp0hISF89tlnREREEBsbm2+sR/wu/AFAKZjQp08fhg4dioODgxJjL491R34ddMW+klwHVR4s0dGsqBTWQRe0c7m9vT0rV66kdevWlaIjvZzvqyY3btzgiSeeIDU1VRM7EnGjlStXKr9Xhvu7f/9+RUhmPta//fbbjBs3rtJcq0SLGBtzcnL4/PPPFdEElLyrmfrxn3/+mW+++YbU1NQ86xyDwUDTpk35v//7P1q3bm3ROVWcZ/369bzzzjvKPC6u4fvvv6dPnz4WO5+kaFha/Hi38wQHB/PEE0+Qnp6ep1hMQEAAf/zxB05OTpZ9k0W8NrjTQTcrK0sZM6WvWTGUhW2mpKTw5JNPcuPGDU2c0mg08uqrrzJ16tQyeS8mk4mcnBxef/11/vnnnzwxhRo1avDRRx/RtWtXOTffA4h7uGfPHl588UUATfc7Dw8P/vnnH6WYX3GpLB10i0J+DVckFU9Z+JolpSjCXPGzepyW9lS1OX78OFu3bmXz5s2kp6fnGcfMUa9Z1PHKmjVr0qNHD1544QWlIMLdKGoHXXEtDRs25IsvvqBBgwal8gOl+LFqcO3aNY4cOcJXX31FUlISQB67U8cb1QVXxFhlZWXFW2+9xfDhw0u0rimogy7c0WUMGjSIKVOm0KpVK+Xxko6J0jYlEomkdEhxrkQiyRfhLOWXaJ6RkaEkiwcFBZGQkMDFixcJCgri+vXrBS6AxEZ4Qc6peQAmvwQ3dYBKjYODAz4+PlSrVo0OHTrg5uaGl5cXjzzyiBTr3kMIm9i7dy/PPPOMkswhFgA//PADPXv2LNTZL6kwV9hnWloa//d//8eWLVuUTcJWrVqxevXqPMl5kvuHoixqb9y4wZgxY0hLS9OMsT179uS7774DtN1vLCHMFXz88ccsX74cuBMkMBgMtGzZkrVr1yqd1SVVH2E3//zzD2+99RZZWVmaoKWNjQ3fffcdPXv2LPAY5mNocHAwa9eu5cSJE1y+fFmZh82FmfklBcPtapVNmjRhxowZuLu74+7unud6JVWDn3/+mQ8//BDIK1xo3Lgxy5Yto0aNGqXqCPHiiy/y77//FijYefDBB/nyyy+B8ulaJWw0OzubJ554gitXrmh81tq1a7N+/fp8Be+S8uXxxx/n/PnzmrVCrVq1+OOPP4q8oV3eAt2Czp/fsTIzM7G1teXs2bNERUURGBioFE0SXVPF2Cvew9ChQ/noo48AGQy/l9Hr9ezbt4/3338/j0BXPf+LCvxGoxF7e3slAUgt8FbbnvA1p0+fzuzZs4GC522TyURMTAxTpkzhxo0bmq5lrVu35qeffir3JDpJyShIoCsqNEuBrqSyoy7uUpBtpqWlce3aNZKTkzly5AhRUVFERUVx4cIFZTwUc766MrkYH/PrtGuO+txqcTto/Q24HdPU6XS0bNmSGjVq0KJFC5o3b05OTo5MRK9AcnNzGTt2LOfPnwfA1tYWf39/JcHHy8uL9u3b4+rqioeHh+a16jGtLNa8RRHoPvnkk4wbN04KdO9zfvvtN95++23gznhmMpno27cv8+fPx9vbW7HX5ORkzp07x8aNG9m5c6fSzbSosZ+OHTvSpEkTnn76aVxdXXF0dFT+VpaxH7VA9+WXX+bo0aNyHVSJKEq3PUsJcwUFCXTVqAvAOTo6yri4pFQsXrxY2d9RF18zGo08//zzigCjoklOTubtt99mx44decb2evXq8euvv+Lq6lrBVykpjLIQTajH3UWLFvHjjz9qcjPMBbr/+9//aNu2rcULGmzZsoU5c+Yo5xXxh2+//ZYHHnjAoueSFE5B4seymsNFp9xZs2axc+dOzXrc2toaDw8Ptm7dWiHjk/o9/fHHH7z33ntkZmZKX7OCKEyYK/asS2KbRqORMWPGcPbsWeUxEScfPXo08+fPL9O9yJUrV7JgwQLN2CviRVOnTuXVV18tk/NKKobw8HAef/xxkpOTlcdsbW2xtbVl3bp1NG7cuMTr56ok0JVUTiqDQLcwYa75WD9nzhymTZumuXZJ1WTz5s389NNPBAUFKTnA5nEc0Apl1UUIxfoB7tjoU089xZw5c4psF3cT6Kpzhy0h0JXix6rB3r17WbduHUeOHFGEsepYSmEUtGfzwgsvlCi3LD+BLmjXZ4MHD2bKlCm0bNlSucbijs2ym7NEIpGUHjkaSiSSfBHOkggyqoOADg4OeHl50bZtW0aNGsWMGTP46KOPGDRokOY1cHvh7OXlhZOTk7JYVgtzRdKuehPHvFOueL462UO8VrwuNzeXkJAQzp07xy+//MIXX3zBhQsXpDD3HkVUIlIvdIStAAUuLEorzI2KimLmzJls2bJFWWzY2NgQERFBcHBwnmuS3PuY20hubq7SYdQcPz8/RbwDd4JCgYGBREVFKYtbcVxLCHPFOTp27IiNjY1GbAG3NwBE1TnJvYGwm379+lG/fn2lKIY6WP3VV18RHx9f4DHUAROj0UiDBg2YM2cOy5cv1wRyxLwuEL6CSFYXc/SlS5fYuHEjkyZNYs6cOezevVsJ5MsNn6pDVFQUu3btUn43n+8SExNZv349UVFRJRpTxNj4f//3fzRr1kwjLFP7jTt27FBEYuZiybJA2OjSpUu5cuWK8t7E/3369KFatWplfh2SghEicSHAFUkM1tbW5OTkkJKSUuRjqe2tQ4cOTJs2jb59+yrnUY+POp2O48ePM2fOHGJiYpSEjdKgDtKbI7pQtWvXjsGDB/PWW2+xbt06fv/9d5YtW8bChQt59NFH6d69O66urjz22GMySeg+wcbGht69e7NgwQL8/f0VYZlAJFGqk4QNBoPGXtUJGmLjz2QyMXr0aGXMFRue+aHT6fDx8aFbt27KY+IYN2/eVDqiSyo/NjY2dOzYkbfeeotGjRppbEeMgzqdjmPHjvHRRx9x8eLFIq+B1RuES5cupVevXsrx1R1GraysOHHiBO+//z6XL18us/cquTcR811+45UY91xcXGjbti19+vTh9ddfZ/HixaxcuZI333wzT7Vp9fyvHjvFYzY2Nsp3RN3hR7221+v1mi5q5vHQnJwcMjMzOXnyJH///TeffPIJU6ZM4dtvv9XEQiXlR25uLhMnTuT8+fPY29sr9/T69escOXKETz/9lDfffJNx48bx+OOP89JLL/H111+zZcsWYmJiNP6nWqCj/r80dOjQgQULFhAQEABo7VWsw9esWcPq1auVeKXk/kLYxAMPPEDHjh014xPcTiw6dOgQcCexzc3NjZ49e/Lpp5/y2WefMW3aNOzs7JTYj5WVlTJ2AXliPydOnGD16tWMHj2aefPmsXfvXk3xoLJaM4t1mIeHB59//jmzZs2S66BKQn7CCWEzZSXMhdsdcfv3789bb72Fl5dXnvWR4MCBA8ybN4+IiIhSn1NyfyLG2pYtW+Lo6KiMker99P3793P69OmKvExl/E1ISODChQvAHb9YfDc6deqEg4ODjG9WcsScbWdnx6xZsxg6dKiS1KteTwMEBQWxevVqRaBTUHEhUcgXbgscxo4dqynQJX62trbm8uXLvPfeexw9elQp4lFaxHVXr15dyfsQ6yVA2beXe+/lQ3kLc+H2OGRra0ubNm2UY4n7bTQaiYuLIygoqJTvrGSoY1UjRoxg9uzZjBw5UvqaFcDdOuaWRpgLKDll5ut34SeWxX0Wdj5+/Hg6d+6s8R/E/LxmzRqOHTtm8XNLKgaj0YiLiwve3t7AHbvS6/VkZGRw8uRJoOS5Ew0bNmT8+PGKWFKdIyLGs2vXrrFkyRL+/fdf5VxyjpUIysLXLA5365grhbn3JqtXr+btt9/m4sWL5ObmatYnQqAqxjKRE6Jer6jXDmL8bN68OcOGDSuWXaj9vieffJKxY8fSsGFDQLs/Ls577do1Zs6cSXBwsOa1RUEKc6sGv/32G/Pnz2f//v1kZWUpMWh1EStra2slNq7+2Tzn0tbWFoCzZ8+WeJ4fMGAAixYtwsHBQVMMW/3z1q1b+emnn5SCs8Udm+9mm1KYK5FIJEVDjogSiaRIqJPMzJ0pk8mEg4MDrVq1Un5XM3DgQDZt2sRHH33EhAkTGDhwID4+PlSvXl1xWkWShwg0ii6O6oQ1cR1ikWU0GpUNfbE4EQuUxx57jP/7v//L93okVRdhB6LyvljcCvuJiYnRPE9NaYW5cDsAf/DgQeBOZSy9Xk9iYqKS0CSFZvcPIgCTmZlJTEwMX375JbNnz2bx4sXk5OTk6a5nZWVFtWrVgDt2YmNjQ1paGr/99hvZ2dkaURCUvmOuGK/btGmDp6enJlglNrllwsW9h8FgwM7OjmnTpuHi4qIEL0WwOjIyUknQvZuQTNiQg4MDnp6evP766yxatIiPPvqIxo0b5xtgUScGq4NSMTExHDhwgOeee45XXnmFL7/8kqSkJLKysoA7Y7qctysnvr6+zJgxg/79+wNoBDpWVlbExcWxdu1aNmzYQGxsbLGPL3y46tWr8/zzz+Pn56cJdIufrays2Lp1K7NmzcojliwrLly4wIEDB5TrUFc3fOSRR7C1tZXBxgpEjDMigUctoImLiyu2IKGkAt3Y2FiLCHQLuy71/+I81apVo0ePHkoAfPny5axZs0YGw+8zbGxs6NatGz/++CPNmzfXFMZSF9xS+wTiZ/Ump7rq6aRJk5g/f77ynMLsSMzdwtdVJxNB2SQwScqOggS6YoPZkgLdnj17SoGupNzIb80sxkA7Oztq1qypKTYk/j377LN8//33vPHGG/To0YNmzZrh4OAA3EkcNk+iFDYtvi/mm+BibS66BInniE301q1b88svv2iKeEnKh9zcXCZPnszp06exsbEhNzdXM4eK+LNOpyMxMZGbN2+yY8cOlixZwpw5c3jssccYPnw4c+fO5YsvvuDo0aNEREQohdzymxNL4j9Kga6kMMSawcvLi+bNm2sKBgj7+O677zQdIOCOLfbv3585c+awdu1apkyZohR/UyeJCcT+jBjDoqOj+euvv3jmmWeYPXs2P/zwA7m5uUXuKlASxDrM09OTGTNmAHIdVNEU1NFMHU8pC2GuQAh0586dm69AV520tmTJEsLCwix2bsn9gxhrBwwYQKdOnTSCMvG3s2fPsnXrVjIzM4Hyj3urOwh99tln3Lx5U/ku6HQ6TXzTzs5OjptVgLIQTajjmfPmzWPkyJEFCnSvXLnCwoUL2bVrF2lpaRZ7X+Hh4ZpicXB7LPfz8wPk3nt5UJj4sSyLa4j77ePjA9y51+q9crGHWBGoY1Xjx49nwYIFgPQ1y5PCROOl9S9F3KZhw4aafDjxN3WxIUujznvr2bOnspcOd2Lxer1eEeeW1b6TpPywsrLCw8ND2csU45+IHRZWWL2oSIGupLRUlED3bh1z1WO9FObeOyxfvpz33nuPrKwsZU5Wr0HEPff396djx46MHDmS0aNHM3jwYHx8fPD09NR00jUYDDRs2JCZM2fSoEGDYl+P2u8bN25cmQh0pTC3arBixQrefvttoqKilLlUna8m1q0Gg0ER3or7CHf2DYVvl5ubS/PmzXnzzTfx8PAo8XXlJ9AVxbVLK9CVtimRSCSWw+buT5FIJJLCEYsP4Tyad9SJjIzE398ff39/hg4dCkBsbCwmk0npGHn16lXOnz9PWloakZGRmi6owqkVTp76MUBxZqUDeG+g3mwpCDs7O0DbXUx0sIC8QkVLCHPhdvXoQYMG8ffffyuJlGIz6saNG0W+fknVR9hYTEwM3333HSdPnuTq1asA1KhRg+effx43NzeNPdja2jJkyBDOnDmjjFdiI+XAgQMMHTpUEyAqrTBXjY2NDc7OzoC26qulqltLKhfCHho1aoSXlxdpaWlKgoVOpyM2NpZVq1bRpUuXYnU4FWNp3bp1qVu3Lv/8849i9+K86kR2dXVrtUhXr9dz9OhRjhw5wq5du2jSpAlTpkyhTp06ODs7yzG0EiLGsp49eyrVKvfu3auMP8I24uPj+fXXXwEYPXo0NWvWLNZ5xL3v2LEjQ4YM4ddffyU5OVlTDdPa2horKyu2bdtGbm4u7777rrIpVBZkZmby119/ERgYCGg35J977jk6duxYZueWFA3h61evXh24I3YRY1JBHe0Lw1ygKzC3e/Hc48ePM3v2bD799FNq1qxZpLm5tOR3fHHNwp9QJ2FK7n1MJhN169Zl5cqVLF68mBMnTnDp0iVNVWkxT6t9VPG/eF7btm0ZPHgwEyZMAIrma4pj1KtXD0CzMZWenk5KSgo1atSw/JuWlBlqge6CBQsICgrSJIiJcVAIdF9//XWaN29eJD9OrKFtbGz48ccfmTp1KgcPHlTmeOFXqAW6//vf/2jatGlZv23JfYh6fGvSpAnVqlUjMzNTU9jq4MGDTJ8+nT59+jBp0iR0Oh3BwcHcvHmTsLAwTp8+TUpKCpcuXSIjI0PxPdRiTnX3afNEDrhTbESv19OyZUtWrlyJvb29puq1pOwxGAw88cQTXLp0SekYal5ESsxv4p6qEzKsra1JTU0lOTmZP/74A7hdiMDe3p6AgACaNm2Kr68v3bt3p1q1ajRq1Ai4Y4fqLvZF8eGEQPett94iJCREc11irF2zZg1wO6GoJElJkqqLsIdnnnmGgwcPEhwcrNgHQHx8PMePH6dhw4bK3K4eE00mEy1atKBRo0ZMnz6dH374gTNnznD69GnFb1Svi+BOkTYR+9m+fTvbt2/nn3/+oXPnzgwdOpRmzZopz7fk3o25vyrXQRWHpTualRQh0AVYsGABt27dUtZEYn7V6/Vs2bIFgJdeeok6depY/Dok9zZi/Bw/fjxXr14lOjpaU1DaYDCwatUq6taty4QJE/Ksx8sacZ4///yTkydPKjFWuDNPjBw5km7dupXL9Ugsg7loAmDTpk0kJCRo1tNGo1ERTQCKUCc/GxT2am1tzYIFC8jJyWHz5s2aY4nnBQcH88UXX5CYmMhDDz2El5dXqd4L3M4lgTt7SXq9HisrK6WbpaRsqYiOueaIgn/mgnCDwaAUx6ooxDWZCzclZY/Y3wgJCWHChAl5ROOWKvzi6uqaR7RgNBqJjo4mOTkZNzc3i70nNSIWNHToUFauXElcXJymYEJubi7r1q1j1KhRSrdVSdVF2KW6c6666N+RI0eYMWMGNjY2pRpjhEAXUEST6r18tUAXbjdbKW8fVVK5KQtfszDuJsyVHXPvTX7++WdNPqR6L0Wv1+Po6EiDBg0YPnw4Dz74YJ495tjYWG7dusWSJUs4d+4ccXFx+Pj4MGnSJDp16lTiPA11bH7cuHEArF27lmvXrmk6h5oLdL/44gsaNGhQqF1K8WPVYNmyZXzyySeAtrC5sE0RQx82bBhNmjShV69eyvr16tWrBAYG8t9//xEeHq6MXXXr1mXatGlK47PSIAS6c+bMISsrK99Y59atWwGYMmUKLVu2vOs8X5htSl2GRCKRFB+Z2SGR3CNUhkBJo0aN8PPzIyYmRpOUcfbsWaKiovD19VUeE2KNhx56SHnMaDSSlZXFmTNnSEhI4OTJk4SGhnLr1i2uX7+OlZWVUhlTLMrUCWoGg0E6gFUU8+TwjIwMsrOzMRqNitBCTcOGDXFzcyMjI0Op2m8ymfj33395+umnNVWGLCXMFQEhURVLLMiFrV+6dEkj0pDcu6iDg8899xzBwcHKhrGtrS1xcXH8+OOPvPLKK3lEDwEBAZoENhG0uXjxIt988w2ffvopOp2OpUuX8umnnwKlF+aaTCZcXFxwc3PTXI+wV4PBUC4iIkn5U79+fSZMmMB7772nbFTC7fHr8OHD7Nq1S0lSKy5z585lz549AHk2QEV3IREEUgcoxXWIMfTKlStcuXKFf//9l969e9OzZ0+GDRuGlZWVJiFEUrGog3Xdu3dXHi8LgS6Au7s7o0aNIjY2lh07dpCRkaFsUqs3fXbu3ElGRgbPP/88LVu2xN7e3uI+8YoVK/jll18AbRJKhw4dlG6qkspB7dq1gTs+mrCDS5cuMWjQoGKvDaqCQNcc8/cnfdL7CyG2cHZ25tVXXyUkJIS//vqL7du3ExERoYxf6qQPgbOzMy4uLkyfPp2OHTsqIsii2rH4roi1lcDKygo3NzeZTFlFKUigq96ctoRAd9myZUybNo0DBw5Iga6kQvHw8MDZ2ZnU1FTlMdEdVa/XY2dnp4geGzRooAgdRcJbeHg4OTk5XLlyhcuXLxMdHc2JEyfIzs7m1q1bgFawK9ZKYv7W6/W0atWKVatWSWFuBXHp0iVlDMvJyckzB6pjKuadkMX/IjFHHXdJT0/nwoULXLhwAbid4GEwGGjTpg01a9akffv2NGvWjJo1a1K7du18K5kXNCd36NBBGSOlQFeiRtipk5MTXbp0ITg4WDP2pKens3r1ah599FFcXFzyrKXVxQY9PT154403iI2N5d9//2XDhg2Eh4eTlpam2Jl6fSQSkgQXL17k4sWLrFu3jhEjRtC6dWuGDRum/F3Gfu4dKlLUkx9SoCspa8TY1aJFC5o2bUp0dLRiV+q5eMGCBVSvXp1BgwaVu/ghLCyMHTt2kJCQAJCnsIgsPFg1KWuB7ieffIJOp+Ovv/7KU4xViDh/+OEHIiIiGDt2LHXq1CmxXYeGhird+8ScYDKZ6Nu3LwEBASX9iCRFpLCOuVB+c/ihQ4eU4wpbysnJAW7vF1U0Ms5eMeh0OhISEpgyZQpxcXHY29srhcctYZviuWIfU4yDYrxLSkoiIyOjzMS5cHst5O3tzaRJk1i8eLGmA6CNjQ3x8fGsWLGCl19+WenMJqmaCLvs3bs3y5YtU7o/q+3NUmOrFOhKSkt5CXSlMPf+ZP369Xz44YdA/sJcNzc3pk6dSp8+fWjSpInyutzcXGxtbTGZTNSsWZOaNWvyzTff8Mcff3Dw4EFq1arFgAEDcHJyKtX1lYVAVwpzqwarV69WhLn52aaLiwsDBw7kkUceoXfv3nle36BBAx555BGGDRtGYGAg8+fPx9XVlbFjx9K7d2+lGVVpyU+gq9frSyTQvZswV9i7tE2JRCIpOjK7QyKpQggHKT9HSd1xoaKCJg4ODlSrVo3IyEhNwDAnJ4eEhASNONccseB2cnJSKvQOHjwYgLS0NMLCwkhLS+PEiRPExsZy5coVbty4QXZ2NpmZmQAMGjRIOoBVEPW9CgkJISQkhGXLlpGRkUH//v157rnn8iTouLq64uDgoOmmZ2Njw61bt9i6dStjxoxRFknW1talFubCnU32rl278sMPMR6kCgABAABJREFUP5CTk5Pn+dLm7n1ERajIyEgmTZpEZGSk0gUH7nQcu3DhArm5uXkW1t26dWP48OFs3LhR003CYDCwdetWqlevTt26dS0mzIXb9hkfH690JRePwe3OaLKL2b2J8AO6detG48aNCQoKUuZmk8lEWloap06dKrI4Vz1Wv/XWW0oXIJEsLmx/ypQpBAQE8O233ypJ7HCn+q9aFK7uppuZmanpqNKiRQsmT56Mg4NDqYOnEstQXIHu+vXrgZILdP39/Xn66adJSkri0KFD5OTkKGOXuoPuoUOHSEpKYtSoUTz00EN4enqWOLHX3H/++eef+fzzzwEU/0Gn0+Hi4sKgQYNo3bp1sc8hKTvq16+Pm5sbKSkpSqdluO1fQsn8tJIKdBctWoS3t7dMMpeUO2Lzzs7OjsaNGzNnzhxGjx5NREQE+/btIzw8nNTUVBISEnB0dKRevXp4enrSv39/atWqpVmzC7+3OAQFBQF3EulMJhNubm6VIolOUjIK66BrSYHujz/+KAW69xF3i9lVRExPzNne3t5ER0dr5vgbN25w8uRJevXqlUcsq15j165dW+lgP2jQIABSU1MxGo0EBgYSERHBlStXOH/+PNnZ2YqQUqyZWrduLTvmVjDNmjXjtddeY+nSpRw8eFCxC+FXmnc6Fj+L/9VddtUiRbUIxsrKSilIeOrUKSUeBODm5kbLli3x8vKid+/eeHh40KRJEzw9PfPMyerkiI4dO0qBriRfdDodDg4ODBs2jHXr1imiWRFLv3btGkuXLmXmzJkFjrvqNVHNmjUZN24c3bt3Jzg4mCVLlhAVFUVKSoqmOJs6/qSO/WRlZbFu3TrWrFnDP//8Q/v27Rk5cqSmOKdMBq66VLSopyCkQFdS1phMJqpXr87zzz/PgQMHNEUr1Tb22muvYWtrWy7iB/Wxf/31V3bv3g2gSfg1mUw89NBDmmIJkqpFWQl0hd1+/PHH2Nra8vvvv2ueI3zQmJgYNmzYQFBQEC+//DItW7Ys1vWL858/f56YmBjlMfGvcePGJf1oJEWkojvmqm0wLCxMeQxu27fBYKBevXp4eHjI3J/7mISEBNq2bUtqaippaWlKXoYlbFM8t379+hqhDdzJDUpPT7fgu8mLOE/r1q2xtbXViCjFezx9+jTZ2dmKIEmul6o27u7uyv1V55nFxcVx/fp1mjdvbpHzSIGupLSUtUBX5G1KYe79xd69e/nmm28ANHF30QDCy8uLTz75hA4dOij5lsKWRJEKYVfCFkaMGEGPHj1wcnKiWrVqFrlOSwp0ZVfSqsGWLVsK7ebs6enJm2++SefOnfH29gZQ8sfM89iaNWtGs2bNaNOmDceOHVOKY1qSggS66j2huwl0pWhcIpFIygaZ4SGRVBHUjlFubi7Xr18nMjKS4OBgTCYTzs7ONG7cGDc3Nxo3bpzH6StrxHnq16/PlStXlAWUwWAgLS2NkydP0qJFiwJfn981imO6uLgoAajOnTsDkJ2dTXp6OgkJCZw6dQqAJ554ApAOYFVCfa+2bNnCr7/+yrlz55QOyUajkenTp2uqQBqNRtzc3Bg4cCCrVq1SNmdEBaCdO3cyaNAgJXHNEsJcNfb29uTm5mq6Q+t0OotVN5JUbnQ6Henp6Xz88cdERkYqC1rzzqGHDh3i77//1iQ2qMWSu3btIj09XVnEiuOsWLFCeb4lhLninFlZWZoAkcDLy8tCn4yksiHGsvr169OuXTuuXr2qPCbm6F9++YUHHnjgrtXxzYW5IhnDXJj76quvMnXqVAAeeOABdu3axZ49e9i3bx+AEkQXwlxhn+bfoYMHD3Lw4EGWL1/O4sWLGTBggIU/HUlJKY5ANy4urtQC3fr16zNr1iyys7M5deoU2dnZii2KxF+dTqd0Hz9w4ACvvfYadevWVY5RVL9QPa5GRkayfv16vvvuO+DOeAwo47EIwstNysqD6LitTgAHiIuLA0p+r0oi0J0zZ44U6EoqDPNNSX9/f/z9/ZUiWECBoi/196Q43xfx3JSUFOV3sU7z8/PTdD6XVD2kQFdiCdTji5WVFQkJCURERBASEoK9vT0Gg4GmTZtSvXp1TUeS8vK1RMHAJk2acObMGU1ihclkUvwJc/LrMimu2Wg04uzsjJWVFX369FGel5ubS3Z2NpcuXSI1NZVz586RlJTE66+/LoW5FYhIhOncubNy/w8dOqQR6OZXHNPe3p6srCzlb2LNq+76BXe666o7QYn/xVo4JSWFgwcPArB582aMRiMBAQG4u7vTtGlT2rdvj4+PDx06dMBoNGripR07dmT+/Pm88847hIaGSoGuRMFkMtG6dWvGjBnD2rVrlceFTZ4/f56cnBwcHBwKHHPNbb9evXrUq1ePrl27smfPHg4cOMCmTZs06yL1+YUtijU83F5P7d27l3Xr1jFy5Ejat29Pt27dyn1fS2IZ8hPmmifTVoQwVyAFupKyRPh9rVq14vXXX+ejjz7SdBQX45ler2fu3LmYTCYefPDBMhM/qI+5fPlyli1bBmiTS00mE82bN+fFF18E5L56VaYsRBPq4tcLFizA0dFRKfKhXiNZWVmRmprKgQMHOH/+PO+//z69evXC3t4euPtcrtPpuHbtGh9//DFpaWnKeYXvMmnSJEDG38sKtTB3/PjxeYS5avHj66+/XiZzuLivf/75J3v37tU8Jsarrl274unpaZHzSaomDRs25JlnnsHZ2ZktW7YoeURgOf/SyckpT+6P0WgkOTmZsLAwGjZsWKr3UBQ6d+7MqFGjWLFihRJ/EOP3qVOnWLFiBc8995wcD6s4JpOJOnXq0LFjRw4dOqTYmsFgICUlhfDwcIuJc0EKdCWlpywFuqLg+6RJk6Qw9z4hODiYX3/9VdlrEXOvyOGtUaMGP/74o6ZbLhS8X60uEijEkpbEXKCr0+lYs2bNXQW6ixcvpmHDhsr4LopryK6klZcTJ06wfPlyJR/NXJjr5eXFN998k6d5g/k9Uq9/jUYjzZs3p0mTJmUW485PoGse6yxIoCv2jaRoXCKRSCyPzPKQSCo55snly5cv5/jx4+zZsyff5zs6OtKvXz86duxYJlVXCkI4kY0aNWLbtm3KAko4rImJiSU+phrxedjY2ODp6Ymnp6cmGCodwKqDWGTC7c50H374ofI3kYR45coVNmzYwNixY5V7L14jKvCKiv8icHnkyBE+//xz3nvvPbKzsy0qzIXbXSxEVzYhKBMLavWiW3LvEh8fz6VLlwDyFea2bt2aBg0a0KZNG83rhH0NGjSITZs2cfDgQWUxKxLU1FW1SivMVZ9z7dq1xMfHa2zTxcWFRx99FJCb2/cqYk6cNm0aR44cITQ0VJOcazKZ2L17N+3atdOMr/kdA2Du3LkFdsydM2eOIszNycmhZs2ajB07lrFjx7JhwwbOnj3L+vXrlecL21eLxUWASFRh69+/vxTmljPqsaAgn6q4At1ff/0VKJlA12Qy0aRJE+bOncuSJUs4dOgQaWlpmkR3tQBz165dnDhxgpdeeom2bdvSokWLPBUpzd+ruFYxrm7cuJGdO3eya9cu4E7HXPGZDB06lLlz5wIyWbiy4e3tTYMGDUhMTNR0arpy5QpRUVF4e3uXeK6TAl1JVcR8DFfboVrInl8XwJIQGBjIjh07NOeD2wU7ZCGjqk95CnSnTp2qrJXUm+tSoFs1MY9r7tq1i8OHD/PPP/+QkZFBRkaG8lx3d3fs7Ox47LHHaNOmjZIQBmUf7xPX6ezsrPld2PbZs2cZMWJEkYSzahGy+fFFMoatrS2dOnUCoF+/fsrzpDC34lDfty5duiiPqwW6an9Pp9Ph4eGh2OnJkyeVbk8ikUw8V4h71XEfuJOAJGJL6gIZ4rnh4eGEhIQQGBjIunXrAKhXrx6urq706tULPz8/mjZtir+/P126dOGrr77ipZde4ubNm+Tk5ABIge59jrCrtm3bsmbNGk3s2mQycfDgQf744w+efPLJu87b6r8bDAYltvjoo49y48YNzp49qxxXPQaKtTdo/QYbGxsiIyP59ttv0ev1PPHEE7Rp04YRI0bI9VMVorILcwWFCXTV46QU6EpKgrDpvn37cv78eTZv3qzpKC7sPjU1lZdffpmPP/6YIUOGlMmejDjmqlWr8u36Ijr9Dho0CF9fX831S6omZdVBV/jA//vf//D09GTdunXExsYqe+3Cr7WysiIpKYkXXniBcePG0b17d/r376/M5eYFOgAyMzO5dOkSs2fPJiYmRiPMdXV1ZeDAgYrIV+5dlg1WVlbExsYyfPhwMjIysLe3Jzs7G9B+5uPGjWPKlClA2czh169fZ/v27ZpCf+JnT09PHnzwQUDuY9+viPvepEkTxo8fj5WVFRs2bMBoNFrUv/T396dGjRokJiYqY5GYw8X3oiwR19+7d2/+/vtvEhISlP0tMZYeOHCAoUOHUqtWrTK/HknZIcaxWrVqaXIkxFokKioKsOyYJwW6ktJSlgJdUeA3KSmJjIwMJR9YCnPvLcS9O378OEeOHNGsldXix1WrVlG3bt1i3euyHqfUAt0nn3wS4K4C3ZdfflkR6IrXT5o0SQpzKykpKSn8888/BAUFaR4XtlmjRg3FNoszN4p7WNYx7pJ20C1MmCttUyKRSEqHzPSQSCoxwqFJT0/nxIkTrFmzhv/++09x8uzs7JTgoNgkyczMZOvWrWzfvp01a9bwxhtv0KxZs3KrKOnh4QGgCSQBnDp1Slk8lybJTLz3ghxX6QBWHcS9/PXXXxVhrrqStEjaOXXqFGPHjs2zuHn00Uf5+++/2bdvn2Jv4nvw22+/YW9vz5UrVywqzIXblbwSEhI0SXtGo1FT2V9yb7N//35CQ0PzBIsApk2bxogRI6hfv36+rxWL33nz5jF9+nRCQ0MVuxdJaurujCaTiREjRrBw4ULl9cVduF++fJkzZ84ov4vrdXFxwd/fH5Cb2/cqYk708PCgWbNmir0ZDAbF5v755x+eeuopvLy88gSSiiPMVQfFhQBHvP7xxx/n8ccfZ+jQoWzatIljx44REhKibOyoK7GL65IBnvJH3IO0tDRcXFw0gWZziiPQjY+PL7FAV5ynUaNGvPLKK7i5ubF7925u3bqVR+Atkt6Tk5P58MMP8fPz49FHH6V37960atUqj/+pnscjIyO5ceMGy5cv58yZM6SlpQF5E9cGDx7MRx99pPm8JJUHGxsbqlWrpplHhQ+Yk5NT6nFECnQlVR21/eXX6bE05OTkcPjwYXJzc5WESysrK6pVq0a9evVKfXxJ5aAwga56HCytQHfZsmWaDrpwxx+UAt2qhboIwKVLl/jzzz9ZsWKFsiaxtbXVzM9paWno9Xp++uknDAYDw4cP5+GHH6ZHjx6aNUNZIOxU7TeKDWy4HQuCksc07xbPFEhhbuWgMIGuen2QmZlJdHQ0S5Yswc7OjosXLxIfH8+RI0dISEjg2LFjpKSkKOsLkdwgfFRzka7wY8W6WMRG1QJfnU5HaGgoRqNRifVUq1YNDw8PateuzUMPPUSrVq1ITExUYqDqSuhSoHv/8thjj7F9+3Z27dql2JWwiW3bttGnT59iJXqr5/e3335bEeYCmkRKQBP7Ua+r1Ml4AOvXr2fDhg389ttvDB06lA4dOtC4cWPlOHJNVfkoT2Gu+rXCbyxuwrgU6ErKGn9/f4YMGcLly5e5evWqZr5XfzfmzJlDcnIyI0aMwNHRUfl7Sdfn6teaTCaWLl3KZ599Bmjjm2IM7tixI8OHD1fEj5KqT1kLdJ977jm8vLzYuHEjp0+fVsZMsdckbHv16tVs2rSJgQMHMmDAANq1a4eTkxMODg4YjUays7M5efIkhw4dYtOmTZpxWOxdNmnShKFDh8pCb+VAZGQkTZs25dSpU2RnZyv3XJ3ns2PHDgYNGkSHDh0svk9nMpnYt28fBw8eVPZ61AWx69atqxTClvvY9yfq+960aVOefPJJ0tLSaNeuHRMmTAAss4dcrVo1nJ2diYuLy5MDJLr7lSXi+rt27Urjxo05dOiQpgiCXq/n1KlThIeHS3FuFUfYa8eOHVm/fr0y3glf7ciRI0yYMMHi614p0JWUlrLwNU0mE97e3nz88ce89957HDx4EL1eL4W59yBWVlaEh4ezePFizfgjxkBPT0++/vpr6tatWyljfyUR6M6cOZNly5bh4+OTR5gr3rsUP1Ys4rO+ePEiGzduJDc3N49tenl5sXTp0kprm4LidNCdMGECbdu2BcgjzJW2KZFIJJZBZntIJJUU4dDcunWLn376id27d3P9+nUlydVkMinV7+FO8o46SSgoKIjXX3+d4cOHM2zYsHJJtmnVqhWOjo7k5OQoGzIA0dHRymJcIhFcvnyZn3/+GdBuEKvFjps3b+bJJ5+kXbt2mtfqdDo6duzI/v37FbtXJ1CsWrVKOa6lhLkAsbGxmk4W4jrr1q1b7GNJqiZi7BVdTYQNzJ49m+nTpyvPy29hKhbqvr6+TJkyhSVLlnDr1q08HXWEbXbq1EkR5ubk5JRoM3rLli2cPn1auWZxvU8//bQUS9wnuLi4MHnyZHbu3Kl0GxfJQJGRkXz//fe88cYbmkCS2n7feuutIgtz1bZsbtcdOnSgefPmZGZm8s0333Dp0iVOnjypHEskZsoAT/kjAomRkZE89dRTDBkyhBdeeKHSCHQBAgICeP7552nYsCFr164lJCREsVkxZorz5ubmEhoayldffcW6deuoVauWktRbrVo1PD09SUxM5OrVq8TGxvLPP/+Qm5tLamqqckzhT4j3OXr0aObPnw/IjmaVEWFrfn5+wJ1NEoDs7GwuXrxY7Eqr+VFUga54jhToSqo6d/vOiL9fuHCBVatWaTauTCYTvXr1UjpDSu4NChLoiu4mlhLo/vjjj0yfPl1Z78sOulUPdXLXmjVr2L59O8ePH1f+Ltam6riMWKsIe9m4cSPnzp3j+PHjvPTSS0qRwrKcS2vWrKkpngW3bVMIHW1tbcvs3JLyIzc3l3/++afQjnV366ArxLn//fcfzz//PB999BHNmzcHoHfv3gDEx8eTnZ1NYGAgly9fJigoiDNnzmAymUhKStKcT8RC1RXK4c5ax1zoKOLser2ezMxMUlNTCQsL49ChQzg5OSndJuCOD3s3ga5Murx3EWPywIEDOXToELm5uUosHeDChQuEhoYq3XvuZgfmMaPff/8dyBszGjx4MEajkW3btimPqYsaqWOg6rlefGdsbGyYOnUqLVq0oHfv3nItVckoT2Guuhvzzp07CQ8PZ9SoUbi4uFhUoKtOWpMCXUlxEbbYq1cv4uPjWbx4MTExMZrnqOfi9957jxs3bvDYY4/RunVrJTZe3LFO/ZoLFy6wceNGzf6oENqJ8zZq1Ig5c+ZQvXp1y7xxSaWhrAS64rVPPPEE/v7+/PXXX2zcuFEZM4VPIfbq09PT2bhxI1u3bsXV1RVfX19cXV1JT08nKyuLy5cvK9dhLsz19/fn/fffL9b+gaTktGnThldeeYWlS5fy33//ae6jEMnGxcUxc+ZMFi9eTMeOHS1yXmFTBw4c4IsvviAnJ0exBbHG8fLy4u2338bJyUnuE0oUmjZtqnTzBsvsIYt9QCcnJ0C7fga4ceNG6S66EMznfRsbG5577jkuXbpEYmKiEh8AeOihh+jatWuZXYukfBD22rRpU2xtbcnNzdXMvSkpKWW27pUCXUlpsbSvKYoS+vn58fbbb7Nw4UJ2794NwKuvvsrUqVMBmS90L5CTk8PKlStJSkrSFO8TTUXeeust2rRpo+kYb2kKs6Oi2FhxBbrBwcFMnToVR0dHzp8/r4n5S/Fj5cDKyoqkpCQ+/vhj0tPT86xH3NzcWLRoEU2bNlXyzsuDks67BXXQNRfo2tnZYWVlxSeffCKFuRKJRFJGyIxiiaQSIhya6Oho3n33XY4dO0ZaWpoiBBOLFMgrBBR/E4G8+Ph41q5dS1RUFNOmTSvzpEXRaU0EK+F2EDEpKYmYmBh8fX3L9PySqsX169cJDw8HyCPMdXV1pW/fvnTv3p1WrVrlea2VlRUTJ07kn3/+4eLFi5oNQHWFaLHZbQlhbnR0NGvXrlUWy+K72qhRI40wSXLvkF8yhOh4IhakcFtsJoS56qTxgrC1taVv375cunSJzZs3k5GRoUlCE8dJT0/nzz//ZNiwYSVKRP7555/58ccfAW3XCvHdktwfmEwmmjVrxiOPPMKWLVuUQLcYd8+dO8etW7eURHS4szlUWJJlcapVCrt2cHDA0dGR//3vf8THx7Nr1y5+//13QkJCSElJYdiwYUo3dRngKR/UwtyxY8cSExPDypUrsbe3Z/r06cUS6Ir7XJhAVwhdvb29i32tPj4+jBo1ipYtW/Lxxx/n6Qqu9gOEP5qYmEh8fLzmuWrhpvr1auG6sHNXV1cef/xxXn31VeXzksLcyoewz2bNmil2qU6gEP6mJcYU2UFXcq+i9kODg4Px9fW9awKc2GB85ZVXNEntJpOJevXqMWbMGEDO6fcaQqA7d+5cFi5cSFBQkHJ/LSnQXbp0qUagC7KDblVBndD7wQcfsH37dqXTiLowmzouo+6yq9frlddfu3aNmzdvEhUVxcKFC7G3ty/TudTLywtXV1dSU1OV+Vyv13Pt2jWCgoIU8aWk6qLX6xk1ahTJyck89NBDhRZBu5tAV7B//35ee+01Fi1ahLu7uyLk9vT0xMrKilq1ajF48GDgtmA3OTmZI0eOcOvWLY4fP05MTAyxsbGa7hAiEULsB5ivX4SvK/YBxGsMBgOZmZmaMdf8+6UW6Op0Op588kkaNGggky3vYcQ83bdvX7799ltCQ0MVO7axsSEjI4PPP/+c5s2b4+7uXuix1H7d3LlzCyzmJkSZRqORIUOG8Ndff3H69Gml8KW6m65apCuS2PR6PVlZWXz11VfY2dnRokUL3n//fQICAsrgE5IUl/yEuaCNP1tSmCvGpz///JM33ngDPz8/7OzsGDZsGM7OzlKgK6kUiPnaysqK4cOHk5GRwSeffEJWVhZwJx5pXmT44sWL9OzZk+eeey7Puqcw1B0mTSYTP/30E/v27ePIkSOA1u8W56tZsyZffPEF/v7+ZfhJSCqSshDoqvcuu3XrRkBAAE2bNuWDDz5QxnxxTOG7wm07jo+PJz4+XjmWOr9F+K5i3vf09OS7775TimFLyhZ1fFv4YWqBrnq8io+P5+WXX7aIQFcc/8yZM7z88stkZmZqRBoGgwEnJyfGjBlDQECApkCH5P5G2KwQ5lrKNqytrdHpdDRp0oSLFy/mKXIl5nFLI3xOk8nEkSNH6Ny5M9bW1vj4+ODn50diYiKAFEfcgxiNRtzc3PD29iYiIkKxNbhdaCU4OJh69eqVyX2WAl1JabG0ryme6+fnx5tvvklycjL9+/e3SCxBUnnIzs5WGoqY55M/9thjSpHnshhn1Hapvh6R92tra5vHxgoa80oi0IU7BY+k+LHyID7vEydOEBkZqaxJxXrE0dGRGTNm0L59e8AyOUaFXYea/GyvqPNwYR10xfp748aN7Nu3T4mFStG4RCKRWB6ZVSyRVDKEQxMREcELL7zA5cuXgTsdGtWOvkhcEH9Xb3wIZ8na2pq0tDR27dqFvb09M2bMKLNNZJPJhIeHB35+fly7dk3ZiNTr9SQnJ3Pp0iUpzq2iWNrRFsf7+++/NZV1hTDXy8uLTz75hBYtWuDq6prvMQwGAw4ODrzzzju8/PLLREdH5+lWJv4JYe6yZcvo0aNHiYS5ACdPniQ2NlbzHgwGA/Xr16dGjRql+EQklRF1wu+iRYvw9fVl3LhxyhgqOvrY2dnRrVs3oHgVrHx8fBg/fjxRUVEcPnyY3NxcJVgjuHjxIp999hnR0dE888wzmi6R5oFw9fWmpKSwZs0aFi9eDNzpIK3T6XBzc2PgwIEyme0+QqfTYW9vT+fOndm8ebOS8AC3bSkwMJBNmzYxffp0TfJEYUmWxRHmml+LsFsvLy9Gjx5Nz549iYiIYP/+/cyZM6fYx5SUnPyEuba2tiQnJ/Ptt99iZWXF1KlT7yq8VifnCAoS6K5fvx6gxAJdJycnOnTowOrVq/nwww85fPgwwcHByrnUokzhi4pkH+EjiAC8+C6oiy0IXwSgS5cuPPzww4wdO1bzeUkqL9WqVdPMo+I+R0REAJYbW6RAV1LZUdt6Ue1ezP/bt2/nvffeo3379rz++utKR2pz/zMhIYFz584xb948oqOjNYm/tra29OjRQxFMyjn93kMIdD/55BNmzJihrJPVxeLKQqCrjolJgW7lRB3bmTVrFrt27dIUABLztNrnEj+r45rqpLDMzEy2bt2KtbU177//PnZ2dmW2Xqhbty4+Pj6arqbC9lJSUix+Pkn5kpuby8SJE7l8+TJNmjQp0phUFIGuTqfjwIEDir/n7u6u8ffU9uzl5YWXl5fSrTYjIwOj0cj169e5fPkyYWFhHDx4kLS0NKXAjEAkUOTXXVct0lU/Zt6BVzxPjLXr1q0jOTmZl19+mdq1a5f0o5VUAYxGI+7u7syYMYP58+eTnZ2t6VoeHR3NmTNn6NOnT4HrFfOOuYXFjEQipclkon///nTq1InExESWLFlCcHAwly5d0swDYg2v7hZta2urCM7d3NxkLLOSYC7MFXsv5SXMBYiMjGTVqlWYTCaGDx9eaoHuwoULiY+Pz7cD5JYtWzCZTMycOVMKdCV3Rb1eGTduHFlZWXz77bekpaVp/AG1jZ06dYpTp05x5MgRnnjiCdq3b6+swwX57WnqdDrCw8O5evUqy5Yt49SpU8rf1OtzkWRavXp1li9fTv369cvhk5BUJGUh0FXHg3x9fZk0aRJNmjTh+++/5/Lly0qHR3UhJrVwV12IQ11YUcTlGzRowJdffqn4yJKyR31P1YJb8w66lhToiuNeuXKFqVOnKh2qRCK8sM927drx4IMP4uDgYKm3K6mkFHd/ubDfS4o4jihSpF7nw+3Crzk5OVhZWVmscK9amDt27FgSEhKYOXMmDz/8MLVr12by5Mm8+uqr6PV6hg4dykcffaRcm4yzV32srKzw9vamZcuWREREaIRc2dnZJCUllel9lgJdSWkpK4FurVq1+Pbbb3FxcQHkmHcvsXXrVs6dO6fJ4xV5OgMHDqRmzZoWPZ/axqysrLh58yYXL17kyJEjxMXFcf36dQwGA9WqVcPDw4P69eszYMAAAgICqF69eqFjXnEEugIpfqx8iM/7n3/+ISkpSbFLsVfZsmVL+vTpU2hh15Jgfq9NJhM5OTlcvXqVxMREUlJSSEtLIyAgABcXF5o1a6bkJheVgjroqveEEhISFFuWonGJRCKxPFKcK5FUIoRDEx4ezlNPPUV4eLjitIvEchEMtLOzo3r16jg6OpKcnExaWhoZGRkAikMvnm9lZUVmZib//vsvfn5+TJo0SVnMWhIh+vLz8yMoKEh5XGzG3Lp1S7k+GbSpOkRFRZGcnEzTpk0tdu/UojBAUxnXy8uLlStXUq9ePeX5+Z1XJAg1atSIJ598kh9//JGUlJQ8xxb/z5gxgx49eijnK2rwXJw7JiaG5cuXEx8fr+kK5Ofnx0svvaTpaCGp+qiT0N5++21+++03fHx8qFmzJu3atcPe3p7s7GwAPDw8lETN4t7/Ro0a8dJLL5Gens6ZM2eUhDgx7huNRmJjY1m8eDGXL19m7NixtGjRQhnD1ecT17tjxw727NnDxo0bAZTNHUBJWBo5cqTyu7TZex9xn0eNGsXOnTv577//lKR3EXzZunUrffv2pVGjRsDdkyxLIswVqLtD63Q6atWqRa1atZTvkQzwlA8FCXNFQmxOTg5ffPEFmZmZvPDCC4Ueq7wFumIe/9///sfBgwfZs2ePkpQpOv+oxbniNeIaRbKHWpQrfG1h51OmTOGRRx6hdevWms9LUrlp0qQJbm5uZGRkoNfrlft7/vx5cnNzLXoPpUBXUlkRtpWQkIC1tTVubm5FnlsPHz7M22+/TUpKCjt27ODUqVMMGjSIzp0707RpU7y8vIiLi+PcuXPs3r2b/fv3k5ycnKfYUuPGjXnqqafKJO4gqXiEPdna2nLhwgViYmI0fy9rga66u44U6FYu1OPAjBkzOHjwoDL2qBNuxXrXwcEBe3t7dDodSUlJms5eat8Nbq8ddu3ahY+PDy+99JLFEiLViHlbJACLNTncFnWeOnWKrl27yvVKFUUIc0+fPo2trS0RERGEhYVRv379u45LpRXoCnsxT7zQ6XQ4ODhgZWVF69atlbXHSy+9pIyfsbGxHDt2jJCQEG7dusXNmzfzFOxUdx5TixvF380R6yAR27px4wY+Pj4l/GQlVQVhf02bNqV69epERkYqdmMymYiLi+Ovv/6iT58+RRLm/v7778DdY0biWNWqVcPV1ZUPPviAqKgotm7dyl9//UVkZCTZ2dnK90nYsHp/S52QLmOZFUtFd8yF23ujubm53Lhxg19//ZXs7GzGjBmDs7Nzsc9xN4GuOm4KSIGupEiok3WnTp2Ko6MjP/74I1FRUcq4KBIg1XtBx44d4/z587i4uDBq1Chq165N586dcXZ2Vrr5ZGVlkZOTw+HDh4mMjGTdunVkZmaSmpqqGUeFfyIKGDZo0IAlS5ZIYe59RFkJdNV07doVf39/zpw5w7Jly7hw4QJwp5ulunCmeFzM7+J3Pz8/OnXqxIsvvigLxVQA5SnQVQtzx40bR1pamuJLiCYEBoMBHx8fpkyZQuPGjS39diWVDDEW3bhxgz179vDUU09V6HUIH0+9DgGIi4sDKBNh7uTJkwkMDARg5cqVGAwGBg8eTM+ePfHz86Njx45SmHsPIu6laGyiLiZtNBo5d+4cHTp0KNM9RCnQlZSWshDoAsqeoqW6o0sqB9evXwfujHfi3o8fP16TW1RahO2J42/ZsoXjx4+zbds2MjMzlYYp6qL9BoOB//77j5UrV9KlSxcefPBBRo8eXehYVxSBrjrGKYW5lZMbN25w4sQJTUM0EdscPny4RQtHiTFP3Ovr169z48YNNm3aRFhYGCEhIWRlZSnPF7HP7t2707BhQ2bMmIGLiwt2dnZFmosLEuiK96cWkEvblEgkEssjxbkSSSVBODRhYWGMGzeOuLi4PAmu9vb2eHt788QTT9CpUycl6TA5OZnU1FRWrVrF2bNnuXDhgmbjGG47UikpKaxbt47+/fvTtGnTMuuGWq1aNUArvjGZTBw9epRRo0ZpkjIklZuYmBhWrFjBhQsX+OqrrwrsYlsUhC1nZGTg5OQE3LERkbzr6OjI//73P+rVq6cJNha2qHB2duahhx7i6tWr/Pvvv2RnZ2sEuuK1Bw8exN/fn8cff1zpMFHUDlKJiYnMmTOHCxcuaBYlTk5ODB06VKniJQOR9wYiMALwzjvv8NtvvwG3N1/ef/99Hn/8cXx9fQkLC1NEYKUZ01q2bMnrr7/OJ598wpkzZ5Tqq+rFucFg4J9//uHs2bPUqFGDJ554Ai8vL+rVq0dGRgaJiYlcv36d3bt3c+HCBaXLj7B1uD1Gjxgxgtdff135XS6k7w/UybmdO3dm3759mk11gGvXrhEaGkqjRo148803NeJusJww1/y68kPaZdlTkDBXr9djMpk0nU/EnH03ylOgqz5Wjx496NGjB3379mXv3r1s27ZNUxAG0PjU6kqcaqGuwWCgevXqNG/enPHjx9OnTx/lfOp5QVK58fDwwNraWrFfQBGbg+XHFynQlVQ2hE2Fh4czZcoUGjZsyAcffICHh8dd5+2zZ8/y6aefkpKSooyX8fHxrFixghUrVuDi4oKDgwNZWVmkpaUprzOPW9SsWZNFixbl6fQjuTdQJ0X8+eefvPXWW0D+Ysqy7qCrXi9JgW7FI+53bm4ukydP5uTJk8r9V8cn3d3d6dmzJw888ACNGjXC0dGRzMxMLly4wOHDh9m7d69G9K8mPT2dnTt30qlTJ3r16lUmCWFWVla0bduWwMBA5dhiLo+OjlaeI6la6PV6JkyYQGBgoGJb6enpxMbGFjnJwhIddNWoq/erMRqN2NraotPp6N27NwCPP/44RqORmJgYgoKCiI2NZf/+/UoX+6ysLE1nMnW18/w66IoEuezsbNq0acMvv/xSrFippGrTvHlzRo4cyZIlS5T1sLDH7du38/DDDzNw4EDNa0oqzFXbk7BDW1tb6tSpw7PPPsvAgQO5ceMGX375JfHx8SQmJgJ3ChAaDAYee+wxmZBeSchPmGsymcpVmCviVaLgYFBQEH/99RfDhg0rkTgXChfoCl9UCnQlxcU8WdfZ2ZmVK1dy6dKlPPv36vk6OzubjIwMvv76awBq1KiBra0trq6uWFlZKQVt1AWSxLyuLs4hjuno6EjLli1ZsGCBtNtKgDpRuzzms7IQ6JojCq8++OCD/Pbbb5w5c4atW7dq4rHqdZ2we3t7e3r27MmoUaNo06aN0rFSUv6Uh0C3MGEuoMQUdTodc+bMoWfPnoAsynIvo86NGz16NCkpKWRnZ/Pss8+W+7WI8bhu3brKY+qYoyiMYYnOaWph7sSJEzl+/Lji34o4lI2NDYMGDeLdd99VvgtyHXRvIe7lAw88wLp16/LMl6LYRVnvHUqB7r3HveRrShu7NzCZTKSlpXH48GHlMRGHNJlMSpMgS4ix1R3I9+zZw86dO9myZYtyLhsbG02OsnodLnzRgwcPcvDgQS5fvsyUKVPw9/cvNKetKB10QYofKyvR0dHKnp+6oUOLFi0YPHgwYJn1iDqH4tatW/z2229s27aNGzduaITi6v/FfvuRI0c4ePAgR44cYeDAgYwYMQI/P78i2U5BAl3Q7k1J25RIJBLLI8W5EkklQDg06s1t8wRXNzc3xo0bR9++fZUq+uK1Xl5e1KxZkzfffJMrV66wfPlytm3bhl6v11T2s7GxIS4ujvnz5/PTTz8pnSAshXDK2rVrx99//61URBWOpHlyhaRyc/PmTdavX8/WrVvJzMwkIyMDV1fXEi08hC2HhYUxa9YsxowZw6hRoxRRqwjyeXl5KYm0xbGTunXrMnnyZGJjYzl16pTSfRRQ7PDChQssXryYuLg4nn32WeXv6iC4ulup6DgdEhLCu+++y+nTp/N0x61Xrx6PPPJIiRM/JJUTcX8XLVqkiMfExkhcXBzbtm0jNjYWQBF3iaB5SRfmrVu35o033uCbb77h6NGjpKWlKd8L9eZndHQ0kZGRXLhwQZkbMjMzycnJ0XSQAjTJzCaTicGDB7Nw4UJAdoC8HxF2OWLECNatW0d4eLgSaBFBmC+++IK///6bv//+GyhbYa6k4ihMmAu377sQNr7yyivFqlZdngJdc/vr2bMn3bp1Y+rUqWzfvp0zZ85w+PBh0tLSlPemTgRSj5dt2rTBz8+PcePG4e/vr/gn6vclqfwYDAYcHByoXr06CQkJmu4jMTExXL9+nSZNmlj8vFKgK6ksqIW5Tz75JHFxcSQnJyuCxcIEutHR0XzzzTdcvnxZsxGj3pTMyMggLS1N42sKXxVu+wt+fn4sXbqUevXqlet7vx+piLHjbiIJuLOxLn5WJ4RYWqALaJI8Tpw4wYIFC3jrrbekQLecUQtzRWdSMUaIMQRuV5vu378/AwYMyHOMRo0a8dBDD3H9+nVmzpxJRESEZg4VdnT9+nW2b99Or169ykSYCyidK9TzN0BUVJSmW6mk6vDbb78pwlz1uKQu6lOUe2ppgW5B5zBHvN7X11exz+HDh2Ntbc3169eJj48nMDCQc+fOER0dzaVLl7C1tSUzM1N5f3Bn7raxsSEnJ4eWLVuyYsUK7O3tlbFWcm8jbL1///5s3ryZ0NBQjXhbr9dz+vRpBg4cqDzXEsJcgbrogZWVFQ0bNqRhw4a0b9+e06dPs3nzZvbu3Ut2djZw284/+OCDQo8pKR8qQ8dcdbxK/Ozg4MC7775L9erVS/P2pEC3ilLZhQHqvcahQ4fi7e3Ntm3b+P333xW7El2DxPpbXVDQYDBw69YtjEYjkZGRmuMKwZC624n6nCaTiYCAAB544AEmTZqEj49PRXwE9z03b95k7969dO3aFVdXV2rUqAHc8ffKY11fHgJdIdocO3YsY8eOZcyYMcTFxfHff/+RkJBAfHw8BoMBJycnatSoQefOnalbt65Fu2RJSkdRBLoiBlhcgW5hwlzzIh/vv/8+gwYNAir/GC8pOea5cSkpKQB88cUXGAwGXnjhhQq5LiG+FUJxuG2HMTExRERE0Lhx41KtR/IT5qpzAo1GI6dPnyYmJoY6depIYW4Fov7My1Ls6ObmphQ/EDF1KysrRShUHhRHoKvT6RgwYIAcmysR94uvKam6iD1mEaNW5+q4urrSo0cPzZ5icVHbT25uLpGRkbz//vtcvnyZ+Ph44I74UJxbrL3Fz3Bn7hd7WWvXriUuLo6pU6fStm3bUgl0pfix8iHsRnR0VhcCNBqN1KxZE3t7e8Ay+4DW1takpaWxdOlSjh07xunTp5W/CV9Q2KLwCdQFV62srLhy5QpRUVGcPn2auXPn0qBBgxILdIXwV4rGJRKJpOyQu+0SSQWTnzBXBKSF01+9enUWLFhAx44dcXFxAbTV+sTvdnZ2tGrViv/7v//DwcGBjRs3Kht56oB5SEgIZ86coUuXLmXiUFWvXl1xGgVWVlbcvHmTxMREPDw8LHo+Sdlw7tw5Vq9erXRF+ueff5g8eXKJhbnh4eGMHTuWW7dusXTpUry9venXrx9r1qxRNl2aNm1KQEBAia63ZcuWvPzyy3z44YdcvHhREeiqBbfx8fF88cUXXL58mSFDhtC9e3dFWKte8FtZWREUFMT27dvZtm0bwcHByqLEysoKvV6Pu7s7r776Ko0bNy7R9UoqNzk5OWRnZ+Pj40N0dDS5ubmK+DUkJEQzxoWGhnL+/Hn69u1bqoV5ixYtmD17Nhs2bGDLli3ExsZqFuLqhbdIuEhPT9ckgIrzqxOgbWxsGDFiBO+++y6ATLi8jzEYDHh4eDBx4kQ++eQTZfNbjNNBQUEEBQUBUph7r3K3jrnqRIhXXnmFp59+GijePS9PgW5+5/b19VWSQYOCgkhNTeXatWtcv34dk8lEdnY2RqMRDw8PmjRpgrOzM507d8bR0bFU55ZUPNbW1lhbW9O8eXNlLBNjXFpaGgkJCWV27qIKdMVzpEBXYmnyE+ba2tqSmprK7t27sba25s033yxwLW5tbU2tWrWUOUA8JpJD4I6wR70hJP7Z29vTrFkzPvzwwxKv5yRFRwgeb9y4wc6dO5k2bVqZJzAUJpIQG9dCJKFet0D5ddC1sbHh+PHjvPLKKyxbtkwRsEnKlrsJc4WIZu7cuTzyyCNKkpB67hP30MHBgRYtWrB69Wqee+45Lly4oFkTi3Fpw4YNDBgwgL59+1r0vYjrEAUGxPnEWHf58mViY2NL7bNKyh/RpTk3N1eTgHPy5EmGDBlSrESw8hDommP+OvUYGxAQQP369encuTNwew1/9epVkpOTOXDgAHFxcZw/f56oqCglESonJ4fmzZuzevVqKcyt5Fi6IIA4TtOmTWnWrBkhISGa+LnBYGDlypU8/PDDtG7dWmO3c+fO5Y8//gBKHzNS/91kMlG9enUGDBjAgAED2LVrF6dOnSI6OloKcysJYWFhFd4xNz+f08HBgZUrV9KqVSuLrKmLI9DV6XQ899xz1K9fv1TnlJQMtf9pZ2dXqccI9Xqla9eu1K9fn9atW/Phhx+SmpqqPEddKEHtT5jPA+pCWuqkTWGfIvbUrVs3JkyYQOfOnZW8Akn5EhoaytixY0lISFC6wrZr14769evTvHlz2rRpg4ODA15eXvm+3pKxwrIWTZiv69q2bQtA//79lULY1tbW2NraKus6QWX+/t5vlIVA924dc9W+xHvvvcfIkSMBaRf3MmLdERISwoQJExT/0mQyodfr+eqrrwAqRKDr4+ODm5sbqampmqL+JpOJjIyMMhHmqveMRG5H27ZtadmypfJa+V0oX8T4ExUVRXJyMl5eXnh5eeV7H0o7VjVp0oROnTopHSWFn3f+/HlCQ0M13ZzLkqIIdK9fv86SJUvIzMzk0UcfLZfrkhTO/eRrSqo2qampJCYmau6xuiBgaRDHPH/+PLt27eL3338nNjZWkzdpfo78OoCLdbfwc/V6PTt37sRgMDBz5sxCiwEXJtBVv08pfqw8qIvxwp34tvDFRNO0ko6TavuKioriwoULfP755wQHByvPUccb1delLsCm9kd1Oh0pKSkcPHiQ2bNns2jRIho2bFik8TM/ga44trRNiUQiKRvkjrtEUoEURZjr5eXFN998o+mWC3kTMtS/u7m58cILLxAbG8vBgwc1SUd6vZ7ExEQOHDhAly5dysShatCggZLwpE5ii4qKIiYmRopzqwipqamkpaVhb29Pbm4uYWFhxT6GqLSjTuCwsbEhLCyMd999l+7du+Pk5KQkh4mkzZLSvn17XnvtNT7//HPOnTtHTk6OZvNbfK+2b9/OkSNH8PT05KGHHqJWrVrUrFmT3Nxcrl27xs2bN/n777/Jzc1VOpKqhbkAH374IV27di3V9UoqL3Z2drz88stUq1aNP/74g+joaKXYgTohQtjU3r176dSpU6m7KNevX5+pU6fSpk0bvvzyy3wX52KBDCi/i58BjZ02adKEwYMHKwI7EUyS3J+IwFGrVq2wtbVVxjd1l3u1PyGFufcWRemYW1phrqCiBLrmlYwbNWoE3PYPioK076qNsDnztYZIcijratNSoHt/kF/VdMhfZFZeFCTMFWN6Tk4Of//9NykpKXzxxRdKtVc1NWrU4O2338bf359169YRGRlJTk6Opno/3BGFioR8k8lEo0aN6NWrFxMmTJBiyHJA2F1YWBijR48mJSWF7Oxsnn/++TKzu7uJJOBOZWEHBwdee+01fvvtNy5duqQIaMtSoAvaxPV69epJWywniirM/fjjj3nssceU14lYkUDdbdlgMODt7c1XX33FmDFjiImJyZMEDBAcHEzfvn0tOuaK44gCLllZWcr1CjsubdxKUjEI/1CMWWL9K4q3FHcNUBECXTVqmzf3RWxsbGjevDmAshZLSEggLS2Na9eucerUKdLS0njzzTelMLcCMR+7YmJiSEtLIzw8HGtraxwcHGjWrBnW1taaQlKWWLOKYzz77LOcOnWKmJgYZfwVoseNGzfSsGFDnJycgNsdcy0lzDVHfA7Chvv3768IJC31niUlJywsTCm4Kvw90Mafy0uYK34WPueKFSto1apVHqFXabibQFd8Blu2bKF9+/ZSnFsBqAsViQKUXbt2rVRjhfkYr/65Zs2ajBw5krZt2/LLL79w7NgxQkJCNCJb8wJZ6p/V6x71+xXfkVatWtGzZ09eeOGFSvN53I+EhoYybtw4EhISsLOzIy0tTdlH3LNnDwBOTk64u7vTsWNHqlevTvfu3alRowa1a9fGxcUl33GtNHZeHqKJgnJX7O3tles2v35pp5ULSwp0i9Mx991332XUqFGA9P3udXQ6HUlJSUyZMoW4uDgcHByU2IuwiYoS6Hp4eFCtWjWSk5OVx4TNi9hBSWJQdxPmqjv6DR06lI8++qjE55KUDnX+5ujRo0lKSiIgIIDGjRtTq1YtevfujaurKy1atADy7kmXZPzy9fXVFOkXsXTRQKO8KEygK76bV65cUQojSyqW+9XXlFQ9RCxF+H/qe5yVlUVSUhI1a9Ys1r0336f/66+/+Oqrr4iPj9d0BlUXtII7wksx76oLUcMdGxY+rMFgYM+ePbi7u9+1eGB+At21a9cSFBSUZ36Xvm7lQZ1jq869FbHP4o5JwqbE6w4cOMD69es5duwYSUlJeWxTnEO9BhNibjEH51e07fLly7zzzjt89NFH+Pv7F+naBgwYwKeffsrs2bPJyspS4ptSmCuRSCRlg9x1l0gqiKIKc3/66ScaNWpU7IWoj48P/fr148SJE5puN2IBcfbsWYtXXhf4+/vj5uZGdHS0cmwbGxt0Oh2JiYkWPZek7GjdujWOjo5Kh7lt27YxefJk6tSpU+RjiAD7iy++SHx8vFIVFyA6OpojR46QnZ2tLHTE30ri8Ks3i1577TWWLl3KkSNHSEtLUxYt4vtlMBhIT08nOTmZ77//XrPJLa5bbAypF+Ziof7ll18qHVpkkOjexGg04uzszNSpUzGZTGzcuJHo6GjFNs0FsXv27OHxxx+nZcuWpU62rF69Og899BBdu3Zl0aJFnDlzhqtXr2oS30WnAPFPnFMEtgAmT55Mnz59lGRMKfqRCNq2bcv48eP5/vvvNRX2BerOy1KYe29wN2Gu+p6XVpgrqMgOuoVdc2HztrTv8uNutlWaOatDhw78/PPPmmQhk8nEhQsXGD58eEkvuUgUVaArnisFulUHcV+F3aanpxMfH4+joyM5OTnk5ubi5+cHkEf8Wpb3tSBhruheqk6g79q1a77CXPX7mzx5Mh07duTy5ct888035OTkEB8fr/i8cCfpt169enTo0IFx48ZRp04d2YG8HDCPI6WkpADw1VdfYTQaefHFFy2+Ni1u97LVq1fTokULAgIC+OCDDwgKClKSitSJSpYU6Io4g0xiK1+KKsz96quvGDBggOa1d+u6ZDAY8PX15c033+TNN98kMzNTeY0oLLRlyxbGjh2rCMcs+b5sbGywtbUlPT1ds5mekJDA2bNnqV27tkXPKSl7PDw88PLyIiIiArjjswUFBSlFq4o7VwuBrrCRgwcPFirQ/eSTT/Dw8CgzvyC/Y4px0N3dHU9PT+rUqUO/fv2Ux6Uwt+IQ48off/zB+fPn2bhxI0ajkezsbOU5fn5+uLm5MWbMGBo3bky7du0ssmYVx6hRowbNmjVTiiCo95AOHTqk2PGbb77Jxo0bAcsLc9UUZMNynV5xhIeH8+ijj5Kdna2JR6u7ODzzzDOKMLc041thPqewS3UxGNExtyxilQUJdOHOXsCQIUOUhEtJ+aFeD02ePJm4uDhmzJjBsmXL6NixY6WIXYu5NS0tjZycHDw9PfM8x2g00qBBA1577TUiIyP55ZdfOHfuXJ49oNzcXMX2xJhsHusC8PT0xNXVlcmTJ9O2bVulq49cD1UM5t3Gc3NzNTElsV7KyMggIyODv/76C7jdXclkMlG/fn3q1KlDvXr16NatGx4eHjRp0gS4M4erOzAVx+bLWzQhnqu+RmmTlZ/SCnRFgeniCHOfeOIJQO5B3i9kZWXx4IMPsmHDBtLT0xV7EHNoRQh0hVBWFGFXC3QAgoKC8sS2ikJhwlzxPVF3LZPCnYpDXRBz3LhxJCUlKV2eQ0JCgNtztcFgoHXr1nh5edGjRw8aNGiAv78/3t7e+c5xBd1L8Xjv3r3ZuHGjRqiTnp7O8ePHadGiRbnaQn4CXVtbW80a6JVXXimXa5EUjPQ1JVUJa2trfH19CQgI4MqVK8CdWJ9eryc5OTnfTrYFobbJ//77j127dik5RqAVWYqYvXkeZePGjZWCHLa2tgQGBpKcnExaWpoSgxLfI4PBwMaNG2nQoAHTpk0r9PtgLtDV6XR8+eWX9OjRQ87vlQzzgv/mOes3btxQHi8q6phoSEgIO3bs4LPPPlP+LuxJnF99XnWnXJGnb2NjQ3Z2tqZ4h7oL9KVLl1ixYgUvvvgirq6uRbrG/v3789lnnzF79mwyMzMZPnz4XYXnEolEIikZcuddIqkAiivMLYkDZG1tzaOPPsqKFSsIDQ3VVCAHuH79OomJifluDJYGIV50cXEBtJXP9Xo9p0+fplu3bnJRXckxmUzKQjQzM1NZgCYkJFCnTp1i3T9ra2vat29PamoqkZGRymN6vZ7w8HBNks2hQ4e4ePGi0uGhOKivp02bNsyaNYs///yTP//8k7i4OE3XUXWFLLEAEoskdXdU8bP4u7e3N/PmzaNPnz7K5yTt+N5EBE6cnZ2ZNm0aJpOJP//8UyPQFVWqbGxsiImJ4Z133mHVqlU4OTmVeuFqNBpxc3Nj/vz5XL9+nZ07d7Jz506CgoKURD1zUbnRaKRu3bp07dqVRx55RNPZ2ZIdBCRVGzFude3aVRkf1YgEXYDZs2dLYe49QEUIcwUVKdAt7JokFYu45zdu3ODXX3/F29ubtm3b4ujoSKNGjfIVR6iTegpC3FthO0KcKOywvCpNS4HuvYPa18/JyeHcuXMcO3aMEydOEB8fT1hYGHZ2duj1egwGA3Xq1MHe3p6OHTvSrFkzWrduTb169cpdmKse34U4bs6cOUrSfH5rGPVGe8uWLWnZsiX9+vUjISGBffv2kZWVpXRobdiwIXXr1qVu3bpFrsgqKT1i3RwSEsKECROUOJIoIvXNN98AWFSgWxSRhHn3MtE5oFOnTrz11lssWLBAEegCmnHQEgLdGTNm8N9//wHI6tPlSGmEuUVB2ItIlDAX5wJK4pGlsbKyonr16rRo0YKDBw8q46M4/61btyx+TknZ4+npSe3atQkPD1fuKUBUVJRSob8kWFlZ0blzZ+X3wgS6r776apkLdM0xF0SYV2+XwtyKITMzk8uXL/Pzzz+zfft2Zf1ga2ur2SOKiYkhMjKS+fPn4+bmxogRI5g4cSI1atRQYtelmfM9PDwYO3Yse/fu1XSOsLa2JjQ0lK+++orU1NRyEeYWhFy/Vyznzp3TxKHzm3fT0tKIioqiZs2aZSLMNRcqlrUwV1CQQFcIJ2RXifJHLZgQ++qOjo5kZmYyadIkfvnllwoX6AqhWnh4OM8++yyDBg1i9OjRVK9eXfM8cX0uLi40btyYBQsWcPPmTU6ePMl///3HxYsXiY6OJjc3V/kOCIR/YWNjQ5cuXahZsyZPPvkkXl5e+Pr6Ks+Te5cVQ1hYGEOHDlXELOoOUWLPGbQdegDlb3q9nqtXr3L58mUAli5dCtze8/by8qJbt24EBATg5+dH3bp18x2X7+ZnStGEpCgURaArCrvkJ9AtSJgLSGGuBB8fHyZOnIijoyM//fSTIkAQMfaKEOiK/Lb69esr4iE1qampQPHWJ3frmGsuzJX+ZcVRWP6mWCdbWVmRm5uL0WjkzJkzGAwGduzYAdy26UaNGlG7dm169eqFm5sbrVu3xtbWNk88Royh4vGGDRtibW1NTk6OJl4VExMDlH9RabVAd8uWLcq+qrTRyoH0NSVVEb1eT7Vq1QCtj2kwGFi+fDlNmza9q7hQLUDPycnh448/Zv/+/YSGhgJo8oFBK4QUOfgDBgygV69edOrUSXO+8PBwIiIiePfdd7lx44ZmH0r4JOvXr6dHjx40a9as0OtUC3THjh1LQECAkiMlx87Kg7jHYk/IvFNuWFgYMTExyt+LMiaJcXH16tXs2bOHAwcOAGgE3+JYattydHTEzc2NwYMHU7t2bZo2bUpubi7Jycns2LGDwMBAwsPDFR9Z5LpnZmayb98+hg4dSsuWLYtsX/369WPBggUcOHCAhQsXAtI2JRKJpCyQu+8SSTlTHsJcuL0gdnV1pVOnToo4V90p12AwaCqxWwpra2tsbGxo06YN165d0yT5mkwmkpOTlWuQVF50Oh1+fn60atWKw4cPYzKZSElJYcOGDbRt27bI90+IfGfNmoWTkxN//fUXcXFxGgGsukstwNGjR2nSpAlWVlalspMGDRowZcoUOnbsyIcffqhUNhLnUi/E1f+L54iguF6vx9PTk44dOzJlyhTatWunPEfa8b2NWqA7ffp0dDpdvh10xSL44sWLLFmyhFmzZmFnZ1cqG1EHbRo2bEjDhg0ZM2YMt27d4ty5c4SGhpKWlkZSUhI+Pj74+PhQv3592rZti62tbZ4ES7mQlgiETXbr1o3mzZuzZ88eTWBe+AoTJ05k+vTpgAzGVGUKE+aaVyi3tDBXUBKBrk6nY/To0SVOkpdUXsyrTyckJADg6OiI0WikSZMmuLm50aRJE1q1akWNGjVo1aqVUgzjbsc1GAx4enri6elJYmKiZh6+evUqaWlpODo6lrkYoqQC3Y8//liTTCmpWIT9rFixgpMnT7Jjxw7NmtpkMpGTk6PMn0FBQQCcP38egLp169KkSRPGjRtHQEAA3t7eFltD3E2Yqx7fiyqcUD9uMpmU71LDhg0LvRa5LiofdDodycnJPPXUU8TFxeHg4EBWVhZw535bUqBbkEhCbWdqkcSKFSto3bq1Ypu2trZ07Ngxj0DX0h10v//+ex5//HG8vLykMLecKGthrpr69evTr18/Vq1apYy1wkZu3rxJREQEjRs3tugYJI4lihmqq1gbjUYleUkW06g6iDFBdHhXCyF1Oh2JiYmlWndUdoGuGjlfVzwJCQmsW7eOHTt2cPnyZUUsrdPplPETUBLKhB0lJiaybNkyLl++zPDhw3nwwQexs7Mr9ZzXqVMnBgwYwM6dOwFtXOjXX38lMzMTqBhhrqTi6du3Lx9++CELFy4kJSVFs6cixtJVq1aRkZHB888/T61atYp9jrsVgxGxALXPWdbCXIEQ6Op0OhYsWEB8fDzDhg3jww8/BKTtlzeiUNHjjz+uCL1EUnpubm6FC3TVa/Tx48cTExPD2rVrcXR05LHHHssj0BWIa61Vqxa1atVi8ODBGAwGrl+/zo0bN0hPTyc8PBwbGxvs7e3x9PSkbt26uLu706hRowKvR8755Y/JZOLw4cPK3JlfUQNxX9TdyMTj6j1qUVhadFYMDAzEZDLx77//AuDl5UXt2rXx9vamZ8+eeHp60r59e1xdXfP4l/l9H6RoQlIUStpB95dffgHQCHOFnyuFuRJBrVq1GDVqFIBGoCvEYxXVQdfBwQHIW9jq+vXrwB3B7d24mzBX5JhIYW7FIz5zsc+izt9UxyLFvVPnP4rOj7GxsURHRwPw22+/YTKZaNasGa6urvTu3ZsGDRrQvHlzqlevrszT4lh+fn60a9eOo0ePKvfeYDAQFBREbm6uRshbXqgFuuvWreORRx6RNloJkL6mpCpiMpmws7Nj8ODBBAYGAih2B7dzN/bs2cMjjzySJ8dSnZOp0+mIjIzkyJEjrFu3jrNnzyrnUDciEHnGInZVt25dWrZsySuvvIK3t7dmDhf+rL+/P/7+/qxatYo5c+Zw+PBhxScRx4mMjOTKlSs0a9bsrvap3gOVwtzKjb+/P46OjppcD5PJxLlz5zh48CAjRowACs6DEI+LwoWff/45+/bty5OrIV6rtlWARo0a8cILL9CgQYN8czEGDhzIf//9x19//cXWrVsVbYlae/LDDz/w5ZdfFsu+Bg0axKBBgwBpmxKJRFJWSHGuRFKOlJcwF+5UZKlTpw6AJnBkbW2NnZ1dmVTHFw6l2GhUL/YBLl68qARXZRJb5UXYSvXq1ZUES51OR0RERLHsUmzcuLq6MmPGDABFoKteSMOdBfi6det4+OGH8fX1LXWimqenJ3369KFdu3Z8/fXXnDlzhsDAQCXBydbWVllMA0oAVditXq+nWbNmTJ8+nbZt2+Ln56f5fCT3PuYddIECBboAu3fvxt/fn1GjRimdrEoj0IU79ubq6oq7uzsNGjQo9HXCfiWSghC2++yzz3L+/Hni4uI0m4yiQmtWVpYirpBUPSqDMFdQmg66UqB772C+FkpISMDW1haj0Uh2djZGo5ELFy5gMBjYv3+/8ro6derg4uJCu3btqFOnDv7+/rRo0QKdTqfYh7BZa2trateuTaNGjTh69KhmYzI2Npbc3FxcXFzK5f0WVaArfInjx4+zadMmnnnmmXK5PknhZGRkcObMGVavXs3OnTuV+6ROEgeUbopqf0+s7cPDwwkNDeXUqVPUrVuX5557jk6dOmFnZ6e8tqSFuAoS5pqP7yUVThTHf5XrovIjKyuLhx56iA0bNpCamppv0polBLqFiSREQmV+wlzzDuc2Njb5CnTBsh10N2zYoDwuNxLLlvIU5opzqatTq2ObTk5OuLq6WnwMUhfJgjtjuljziw4qMqZZ9WjRogW7d+9W4jwGg4Hc3FzOnj1LkyZNSh2/qSoCXUnFERMTw8KFCzl69ChJSUlKxwe1bwl3xjvQdkjU6/UcPHhQSfydMGEC9vb2pbJdJycn2rdvr4hz1XOoKAIiHpPC3PsPJycnHnroIUwmEx988IEi0DVfd/zxxx/odDqee+65Ygl0i9sxV+1zlpfd2dvb069fP7Kysjh37hzvvPMOIG2/IjCZTOzdu1fp3iXGydzc3AoX6Oa3Rre3tycuLo4ffvgBnU7HkCFD8PLyyvPa/K7Rzs6Opk2b0rRp0yKdX+5XVg50Oh2PPPIIOTk5fPTRR5p1ujo+aS74Eq81F1GIcVA8Ty0CSkhIID4+HoB///0Xo9GIn58f1apVo127djRv3pyAgABat26NXq/PEwsV34+cnBwpmpAUSkk66I4bN47s7GxNAQWRnySFuRI1BQl0K6KDrrBzb29v4E5XMzEmx8bGAkWLBRUmzBXxMynMrTyIPcthw4aRmZmJnZ0dOTk5GjE1aP0tEZ8Ue0MCtdjx4sWLGI1GpRFGrVq1qF+/Pi1atKBHjx54e3tTp04dHBwcaN++PUePHtXEBoKDg0lLS8PDw6P8PxRQGge0bt1aESdJG61YpK8pqYqIexgQEKDYnBgrheB25cqVODg40KNHD1xcXBTbFuNNXFwcly5dYvHixURHR5OYmKjMpWIsBm0sCW53/B4xYgRt27bFwcEhTx6lek43GAxUr16dTz/9lAkTJhAcHKxcp/BhV61axcCBA3F2dr7r+85PsC6pfLRp04YmTZoQGBio2Kqwo3nz5lGjRg169eqlPF/sEQrb0el0XL16lV9//ZVDhw5x48YNJb9eXRRBjL3i9y5dutCrVy/GjBmjGT/VOSdirdWnTx98fX3R6XRs2bJF4ytYW1sTGBjI5cuXixw/MkfapkQikZQNUpwrkZQT5SnMhbxV+9RJbHq9HisrK6XynyURC+TmzZsDd5LYxCLn5s2b6PV67O3tLX5uieUQ97Ffv35s3bpVSRQ6cuQI+/bto2/fvkU+llhk3E2gKxI6QkND+d///sd3332nCDZK810QXaRfffVVUlJS+Ouvvzh16hSHDh1SEvEERqMRW1tbnJyc6N+/Py1atGDUqFFKAr36PUnuH4oi0IXb35vQ0FA2bNhA9erVGTBggEWSLNUBUdAGvkUXanVAVS6eJXdD2IiPjw9+fn7ExcUpm+hw24c4dOgQycnJFu3yJyk/KpMwV1AcgW5cXJwU6N5jqDvmmq+FQFvFV12xF26vHwwGAxcvXlSO5+XlhZ2dHe3atcPT05N27drRsGFDvLy88PT0VAqqqIPT6enpJCQk4OHhUW6byHcT6IpCMSIRQwpzKwcJCQmsWLGCXbt2ERQUpPHF1DYrMK9Ora6CKooOxMfHM3XqVMaNG0f//v3p3r27ssYqjr9YkDA3vw4UUjhx7+Ht7c3EiRNxdHTkp59+IjMzU7nnlhLolrRjbkE2VpBA11IddM3XY9LOy47yFOaqEUlowlbE3GplZVUmRYSEDTVu3BjQFr+ysbEhJSVFSSySVA3EPRWCMXWRPoDk5GSg9LE+KdCVFEZERAQvv/wyFy5cyJMoKX4WPqXaj1QnTYq4TVBQEOvXr8fe3p7Ro0eXeDwS1zFp0iR27tzJqVOnNN8Ddedw6V/evzg6OvLwww8DaAS65gVifv/9d4AiC3Tv1jEXKl6YK7C3t2fIkCEMHz4ckLZfUeh0Oh5//HGysrJYvHixxv70en2FCXQLWqPn5ORgbW1NYmIiX3/9NZmZmUyePBlHR8dCj5efT6D2FfJ7TzJuX3lwdXVl2LBhGI1GPvnkE8VOxbgmxj7zTmdifSPiRGofQPw9PxGQ2BuE28Ix0dFJUKdOHdzc3OjevTteXl60a9cOHx8fPD09ARQfws7OjpkzZwK39z6TkpKkaEKiUFyBblJSEqAt8CaFuZKCKEygW54ddMVYVq9evTw2qY63323MK4owVwg+pTC38hAdHc0DDzxARkYGwcHBhIeHK80e1Gt1Md6p72NB3XXVjVP0ej3R0dHcvHmT/fv38/333+Pj40ObNm1o2bIl1tbWODo6KgWybGxsyMjIICkpqcLEuYCmWIy00cqB9DUlVZVu3boxbtw4Vq9erdig4Pz583z++efs37+fCRMm4O7ujqurK5GRkezYsYMjR45w4sQJxc7V3efNBZU2NjZ06NCBhx9+mLFjxyrnuNveoRjfPT09mTdvHs8//zypqakakWRCQgJZWVlFEudKKj9GoxEbGxseeughLl26pKxnxJomNzeX2bNnM3/+fPr374+dnZ0mXnPgwAEuXrzI999/T0ZGhmJj5kU9hB9gZWWFu7s7I0eO5KmnnqJatWrK+C2Oq7ZR9bkaN27M0KFDOX/+PKGhoco4bzQaiY2N5cKFCyUW50okEomkbJDiXImkHChvYS6gCHMjIiIA8gSMvL29sbOzs/hiVl31SJxLvRhKSUkhISFBLlYqOcL+6tWrB9yuPi0CyefPn6dv377FSh4TAZXCBLrqoPTp06dZvnw506ZNUypeldROxettbGzw9PRk8uTJTJo0iejoaKKioggODgYgMzMTV1dXGjZsiJubG/7+/soxZKKcpCgCXfGcixcvsmbNGlxdXenSpYvFA9UFLchlYFJSXGrWrMnUqVN56aWXNEIia2trwsLCWLJkCe+99560rSpGYcJcoEKEuYLiCnR//fVXQAp07wXEWmjMmDEkJiZib29PTk6OpkqveqNQneygDl6LDRtRsTcqKgqTycSaNWsA8PPzo2fPnqSkpCjHEsWJ9Ho9ly5dokGDBnlsXWw8lsV3oDCBrkhQkokYlYfo6Gilo1lycnKejmZqIYXJZNJUuhe+oLrTmXi+WPevXr2aY8eOMWjQIJ599tlirXUK65gLUph7v+Dr68vjjz8OoBHoqjcNSyrQvVv3MpPJVCKRRFl20FWfV/qsZUdFCHOFjURGRgJ3fAMxJteoUUOJU5XFvRfCCXWSh16vJywsjIsXL9K2bVuLn1NSNggbEcVb1IWpAC5fvgxYZr4srkB30aJFuLu7y7jjPU54eDjTpk0jNDRUsTF1LBxu22m1atXQ6XRkZWWRk5OjqcYvuj2L14WFhbFx40Z8fX3p379/icZB9Vqse/funDp1Ks/3Qy2kmD17tvQv71MKE+iq/c+iCnSL2zF35cqVtGrVyqJ2V9xxV10QRNp+xeHi4sKECRMwGo18+eWXmmT0iuigW9gaXW3nqampVKtW7a7C3IJQ26q0v8pPtWrVGDlyJIBGNKHefxGxovr16/Pggw+yceNGMjIylKIxah/AXJyd3/8iadw8fhoWFgbAuXPnAHBzc8PW1pb69evTunVrateuTY8ePbC1tcXHx4c5c+ZgZ2fH5s2biYyMVI4vRROSogp01d3KhM2r/cn58+dLYa4kDwUJdM19zfLooOvo6JhHnGYwGJS8Il9f3wJfW5gwV72PIIW5lY8uXbrQpUsXABITEwkJCeHmzZvs27ePW7duce7cOXJychTxrJinxf0VqIsKCsRYaC7SiYqKIioqiu3bt+cp/mowGEhOTiYwMFDJ16topI1WHqSvKalqiHvYt29fjh49yrVr1zT75wAhISGEhISwadMmHB0dsbe3Jzs7m5SUFGUMFb6BOqdD3aTKycmJWbNm0aVLF03hVbXIvDDE98Df3x8fHx9FnCuIjIwkMDCQ/v37l8GnJClvxLzWp08ffvjhBxITEzX+p7W1NSkpKcyaNYs+ffrg7+9P48aNCQ0NJSQkhH379ikF+AuyTVHw0tbWlhEjRvDAAw/kaYZV1Nhkr169aNeuHSEhIcpjYuw/fPgwI0eOlHtMEolEUomQ4lyJpIypCGGuwGQyERkZqVksiMVt//79y6x7rdFoxN7eHgcHB9LT05WFksFgIC0tjXPnzmmEj5LKiclkol69erRv354TJ04At4M0v//+O08++aRS7ayoFEWgKxLbMzIy2LJlCzVr1mTo0KHK30oadFEn0At79PX1xdfXl/bt2xf6GYgAk0RSFIGuCEYePXoUGxsbdDodnTt3lgFrSaWlbdu2dOvWjSNHjiiJ7mLsu3jxIjdu3KB+/fpyc7CKUB4dc9VzdmHzckHHLI5ANz4+Xgp07xGSk5OZO3cuiYmJ2NnZkZ2dDdwR5Ba0iS2eo9PpFNtVbwaqNxr1ej3h4eGsXbs2j20Ku9q+fTs3btygYcOGNG7cGGdnZ3x8fDTHUoss1Y+XBnOBrjjunj17GDJkiEzEqCTcvHmTWbNmcfbsWeCOjQlbUM+TAnXSmTopQ2xOi40YdaJaUFAQX3zxBWFhYcybNw8HB4e7Xtvdkn6lMPf+ws/Pr0CBbkk76N6te1lJhbmCsuygKylbxPij1+vLtWOuOG9wcLBmPBZjbceOHXF3d7fY+cxp1KgR/v7+3Lx5UxnLxTguOgFJqgZiHGncuDHu7u6kpqZqOkhERERYNHGhOALdOXPmSIHuPU5YWBjjx48nNjZWUw1fzNfOzs6MHDmSxo0b06pVK3Q6HdHR0Vy/fp0tW7YQHBxMamqq8lr1nHnx4kV+//13+vTpg62tbYn8PvH8YcOGsWbNGhISEjRdgMSYO3PmTKZPnw5I//J+xVIddO/mc+p0OqVDhfA5LS3MVQsn1q9fT/fu3eV+ZRXC2dmZSZMmAWgEunq9vlwFugWt0XNzcxU7Fmv01157jfHjx1v0/JLKjYuLS6GiCeGLXrt2jTlz5vDSSy8RGxvLkSNHuHnzJpcuXeLSpUtkZmYSHx+vKZyh7gqlflz4tubxU5GMbjQaSU9PR6/XEx8fz7Fjx4Db3yk7Ozs6duxIo0aNaNCgAQ0bNiQxMVERIYnEYimauL8pqkA3P2Ea3Bbmjh49GpD+pCQvlaWDrr+/Py4uLmRlZWn2ATIyMkhLSyvwdUXpmCvyoKQwt3Ii7oWbmxvt2rWjXbt2DBkyBLgtGktJSeHUqVMEBQURERHB+fPnMRgMylwpEOt99bpaHB/u7CGpu+upfxdzrsFg4ObNm+Xx1iVVEOlrSqoS4t717NmTEydOEBYWpuwpCbtSFy8QBdjV3USNRqOmeKs6h8THx4fmzZszc+ZMmjRpopy3pEXZfX196dq1K0FBQZoO6YCmOLyk6mMymahfvz7/93//x6xZszRjnxDd6vV6/vvvv3xfr7ZbYZPC5sSeuq+vL++88w7t2rWjWrVqQPH9P/H8ESNG8O+//5KVlYVer1fG6OvXrwNFF/pKJBKJpOyR4lyJpAypSGEu3A6GHzhwAEBJJhYL8QYNGgCUySLWysqKOnXq0KhRIwIDA5XHxXtOSEiw6PkkZYNOp8POzo769etz/PhxpTJlXFwcmzdvZuLEicrzikpRBLoicBMUFMT69evx9PSkd+/emk2f0rwncR35YX58GeCRmFMcge7BgweV10mBrqS8MR/PCho/a9asSYcOHTh8+LBGdGkymbh48SI7d+7k6aeflvZbBVALc8eNG2dxYa44vnhuRkYGKSkpStVKd3d3bGxs8PLyws7OTnlefknm5gJdEdAuSKC7fv16QAp0qzJubm4sXLiQzMxMbt26xZEjR4iJieHSpUtEREQAkJmZqXmN2IAWSQ3mVafVmyHqDW21qNb8uf/++y///vsvVlZWODo64uDgQNOmTXF3d6d9+/YEBATg4+NDgwYN0Ov12NnZaa5JXeiluJs6artv3749EydOpHPnzkyZMgWQiRgVjXlHM/WGoLApg8GAl5cXHh4edOnSBVdXV3x9fUlMTOTWrVuEhoZy4cIFMjIySE9PB+501xWVVtWbMhs3biQxMZGXX36Zxo0bF3j/RQKPFOZK1AiBrk6nY/ny5YUKdE0mEy+99FKB69vidi8rrjBXUJYddCVlQ0V0zBVYW1tz+fJl9u3blydJw2Qy0bJlS6DsxjoHBwdF7CbOLWzx9OnT9O3bV4opqxDCTtTiL7h9XzMyMsjMzMTFxcVi55MCXQmg2RMyF+ZWq1aN4cOHM2DAAI2tANSvX5/u3bvTp08fjh07xhdffKER94ox2GAwsGfPHpYvX86MGTNKPBYajUZq167NhAkT+PrrrzU2CuDq6kqjRo0AyMnJybNGktw/FCTQNRdNFCTQLcjnFH6m+ufS+JyFoRZOjBkzhjNnzvD0008zevToQrv9SioXBQl0y6uDbmHFs0DbdXzOnDk89dRTgFyj30tERUURHR1Nu3btCtx3KUg0IXxREfd85pln+Pjjj3nsscd47LHHlNcnJyeTlJTE6dOnuXXrFvv37yc+Pl7plKO2NxFvErErdWFN9byuTmgX8aqsrCzS09OVmKkQpakTjNVxUCmauL8pjkBXzVNPPSWFuZK7IgS6Op2On376iaysrHxjnUKg+/zzz1t83PH09FS6nAlsbGywtrYuMMetqB1zpTC3ciPuhfhfLTwMCAgAoHXr1gDk5uYSHR1NcnIy+/btIyYmhmPHjhEXF6eIDcX9F8dTz/3q+Vmgnq9FHPSrr76idu3aDBs2rOzeuKRSIn1N6Wvea4g5b+bMmURHR7Np0yblb2rxrXkxdXXXZrUQUtC5c2cmTpxIu3btqF69umZuLYm9CH/WvNmVuMbo6GjN+5FUbYSN9O7dm2effZZvv/1W43OqbdLcpxOPqf0F9RzfuHFj+vXrx8iRI/MUBCxpcU1PT0/lugQ2NjZKURm5rySRSCSVBynOlUjKiMKEuaLyc1kKcyMiIhQhg7rTidFopEePHjzwwANA2YkPTSYTjo6OeR4DOHbsGOPHj5eOYSVHBDd69uzJn3/+qQS+AQ4dOqRsfhc3CFIUga4I8Jw+fZrVq1fj7OysdBkry6CLDOZIioIU6EoqO2J+TUxMJCEhgQYNGuQ7vonx9KmnnmLfvn1Kp0C10Gft2rX06tWLZs2alffbkBQTa2trYmJiGDNmDLGxsRrhljpQPWvWrCILc9VzrrW1NampqezatYtTp05x8eJFIiIiMJlMZGZmKn5f/fr1adSoEd27d6dr166ajmbq46nn9O7duyvPyU+gGxcXJzvoVmHEfaxbt67yWI8ePYDbyd0JCQnExsYSGBhIYmIiZ86cITY2lqSkJOLj4zUBZrhTaVJdsVcEwUUAXL2xrRZXip+trKxIT08nPT1dKU6wdetWAOzs7KhXrx6urq506tSJGjVqEBAQQIMGDbCxscHT07PATrtQeEDdXJguukfLTZyKJSwsjIkTJxIdHa2pBq0eO2vVqkWbNm144YUXcHd3x8PDI99jxcfHc/HiRbZt28ahQ4eIiYlRROZiTS7GZaPRyN69e8nIyODFF1+kbdu22Nra5jmmlZUVt27dYtSoUSQlJUlhrkTBz89PScBQC3RFxVzx87fffguQr0D3bsJc8+5lK1euLFX3ssI66EqBbuWiIoW5AElJSfz888+aZEyR5FOvXj369+8PFH8juyiI9X7dunW5fv26Ms+L+SEsLAyQlairGq6urjRp0oT4+HjlnhqNRkJDQwkLC6N58+YWPZ8U6N7fFFas1dPTk3nz5tGpUyc8PT0Bre8m5mZ/f3/8/PyoW7cur776KlFRUcp4qJ7nt23bxpAhQ/Dz8yvRfCnO26ZNG2W9JOKacDthc9u2bQwYMEAKcyUW6aBr7nNWhDB34sSJnDlzBoANGzZgNBoZO3asFOhWIQoT6Or1+jIT6BYmzJVr9PuD0NBQhgwZwoQJE2jXrl2hc29hogl1J57XXnsNKysrpUNfbm4ubm5uuLm5KfHUCRMmYGtry6VLlwgODubq1ascP36c9PR0goKClMR1gbBHddc+QBM/FXEqIeAQHc/y24dXx1TVogmdTsdjjz2WJydEcu9SVIGums2bN9OvXz86duwox0JJodSqVYvHH38coNwFuiaTCQcHBxwcHEhJSdGILvR6PaGhoXTp0kUzRsqOufcu+d0fdeE3f39//P39leKBaWlppKenc+nSJc6fP8/Nmzc5fvw4er1eI+YCbWdS9Tyt/l8854033sBoNDJixIjyeNuSSoD0NaWveS+i3v/74IMPsLW1ZceOHaSkpCi2au4/CjtR53eItXaXLl3o2rUrzz77rOb5pZ1b7ybsFXFRuV95b+Ho6MiwYcPIysri559/VmJK5p3ChY2KXA9hB+o4kKurKz169ODll1/Gy8vLosUFRH5KTEyMck16vZ7k5GSLF5+VSCQSSemQ4lyJpAwQC8awsLA8SRhWVlbk5uZSo0YNli5dWibCXL1ez+HDhzl58iSgdQ49PT2VypRllewjFuFNmzbl8OHDyiJLEBUVBcgktsqOWBi0bNkSZ2dnEhISlA2V//77j99++02pXllczAW6Op2Ov/76i9jY2Dzixn379infj/IQ6EokRUEKdCWVFXWC0JQpU2jdujXPPPMMjRs3zvNcMZ7a2NjQpk0bzp49qySLink7KSmJK1eu0KxZM7lZWAXYuXMnsbGx2NnZKUlhcCdgOHv2bKZPn648VlRhbnBwMCdOnGDp0qVERkZqqgGKSqkpKSmYTCbOnDnD6dOn2bRpEzVr1uTZZ5+lTZs2ikjcvGJlUQW68fHxUqBbRSlsE9va2hofHx98fHw0Vaf1ej0xMTGEhISQlJTE0aNHiY+PJygoSJlrzStLi/Erv6qVkH+nXbUdizWLXq/nypUrABw/fhy4HVT38PDAycmJVq1a4e7uTqtWrahXrx41atTA19c33/ep/h6pN5GK8hlJyof8OpqBVpjbr18/Hn30UR5++GFN52R1xV5RUd/Ly4vevXvTu3dv9u/fz6FDh/jpp580VaDF69QixE8//ZQZM2bQo0ePfEUP1apVo0mTJhw9elS5Rpn0K4GCBbrmSWv5CXTVtlJQx1y1MHfFihWlEuYKChPoqhMwjh07xieffMKrr75Ks2bNpF2XI+rujubCXBHXBFiyZEmZCHNNJhMnTpzIE9c0Go04OTnx1FNP4ezsXGZxTWFrDRs2ZM+ePYr/IPzeqKgo5fslqRqIe+rj4wNoO5gYjUays7PL7LxSoHv/UZgw18vLiy+//JL27dtrXqOe49TrBWtrazp27Mi8efOYO3cuCQkJynPF2Hj9+nVu3rxZalFh9+7dGTFiBL/++mueTitbt26lX79+DB48uFTnkNwbFLeD7jPPPIO/vz86na5IxWDKQ5grhBMACQkJbNy4EZ1OxxNPPJGno4Wk8lLeHXSlMFcSGhrK+PHjlfUQ3L2AdUGiCfOiWnPmzEGn0zF48GBsbW3zHNfa2hqdTkfz5s2VojKiaGZgYCBJSUkcOXKEiIgIQkJCiIyMVOxRHYNXdzZVCynye0z9/tT/q0UTq1atIiMjg3HjxskiHvcRxemga21tTVxcHC+//DKLFy/WPF8iyY/CBLrqcdPSAl2dTqcI1W7dupVn/0nEDaQw9/4lP9GWGAsdHR1xcXHB29ubvn37AnDr1i1yc3M5fvw4sbGxnDhxguvXr3Pr1i3S0tIU4aL6mOoOksLW586dCyAFuvcB0teUvua9jLANa2tr3n33XRo0aMCePXs4duyYZj9SHRcXMSORX+zh4cHUqVPp2bMnfn5+wJ151VK+AEB6erqmY6qIwYoiizJf+d7D39+f8ePH4+npySeffKKMwyKHCO6MY2o7VXeyHTduHF26dOHBBx/UHNtS9pKQkEBGRkaeY5o3KJBIJBJJxSMzSCQSC6PumDtu3DhNEgbcdtScnZ1ZuXIlAQEB5OTkWGwBKc598eJFvv32W5KTk5VkH7G5XbduXdq0aQMULI4trfBRvFZU2FIHHwHq1KlT4mNLyhej0Yivry8PP/ww69atU4IpRqORU6dOMXToUGxtbUst0BUd/AoS6O7du1d5nRToSioLUqArqWyoE4TGjx9PTEwMSUlJODs7M378eJo0aQLk7V5qZ2fHk08+ycaNG0lLS8PKykrp6peZmcm3335L7969lWCjpPIybtw4jh8/zj///KMRuQhEsu7dkr3Vgbvdu3fz888/c+HCBdLT0zXCDFF5VT0vC9syGAyEh4fz3nvv0bJlS8aNG8fDDz+s2FdJOuhKge69g7AvYYfqDWhra2tsbW0JCAggICAAgKFDh6LT6UhKSiI2Npbo6GhOnDjBrVu3OHfuHAkJCWRmZmqKC4jjmW/2qUW65sJd9XWoBZcmk4m4uDjgdrc89Sahq6srjRo1ws3Nja5du+Lt7Y2/vz/16tXDYDAoVSql31r5yE84AVph7vjx45k0aZKSoG2+saEeS0Vyt3hOr1696NWrF127dmX+/PnExsYqBbsAzRgXGBjIt99+i52dHV26dNEIvgwGA3Z2dixdupRXXnmFnTt3KknGIJN+JYV30C1IoAt3xmJzkYQYR8uye1lBAl24893Q6XQcOXKEN954g++++052MisnxDogNzeXyZMna4S56kr4q1atslgHMoE4VlRUFD/++CPh4eGatYler8fb25tWrVoBaJJ9zH1MS1yHu7s7gObYer2enJwcOdZWMcQ9FeOIsB0hNr9y5Qrt2rUrk1ijEOgKX/PQoUNSoHsPczdh7vLly/MtnnY32rRpw4ABA9iwYYOyRoHb82lOTg47d+5U7KwkNiy+Iw888AA7d+4kKSlJ6RguxrsTJ04wePBgGZOXAHcEujqdjg8++IDk5OQCO+iaTCbmzZvHtm3bilQMpryEucKvsbGx4datWyxdupRmzZpJcW4VoyCBrl6vt6hAVwpzJeqC7AAnT55UxpG7+WyFdTVTiyZmz54NwODBg/Psg5ufQ9ikk5OTElN/5JFH0Ol0xMTEEBERQUREBPv37+fWrVsEBgYq3wuBuuOZ+dxuLpxQPyZeZzAYCAoKIiEhQYol7kOKItAV/qSNjQ3x8fFSoCspMsUV6L7wwgulPqewZ1EMznxcvHnzpvI8cQ0F+ZdSmHv/YD5Pi3tsMpmoXr06AI8++igAkydPxmAwcPPmTQIDA4mMjGT//v2kpaVx8+ZNMjMzNfYtBbr3F9LXlL7m/YBaoDtlyhQGDBjAzp072bp1K+Hh4SQnJwMoa2uA1q1bU716dcaPH0+tWrWUXHSwTLdcc6Kjo9m3b1+e3BW9Xo+vr69FzyWpXPj6+jJ16lRatWrF4sWLiYiIIDY2VvMck8mk2Kder6dWrVr06dOHAQMGaHLdymJvJzo6WmmYAXfymRo3boyzs7NFzyWRSCSS0iHFuRKJhbGysiImJoYJEyYQHx+vSfIV2NnZcfDgQQICArCzs7NIEE4srqOjo3n11VeJjIxUFqs6nY7c3Fzs7e2ZN28e3t7eeZxAc5GE+ePFuUbxGpHEJoLv5sFHmchR+RH3vGXLlso9FMHETZs2MWzYMLp06VLieykFupKqjrlA12Qy8eeff0qBrqTcyS9ByN7enrS0NDZv3oyVlRVjx46ladOmecZNo9FIvXr1eOKJJ/jll1+Ux0Rxj6ioKLZs2cKECRMAKTCrrAgbmDdvHjdv3uTcuXNKlUghpH377bfx8vLSdG8yRx3E3rhxI++++y6ZmZnAnYA5kGcjRS3KVXeFzMzM5Pjx45w4cYLo6GgmT56cx4akQFeitonCOtBWq1YNd3d3GjduTO/evQHIyMggIyODiIgIZZPu4sWLBAUFcf36dY19iXlbvbGnfiy/Sr5wp/u0WoAuNmJSU1OVzn67d+8GwMHBAR8fH6pVq0aHDh1wc3PDy8uLRx55RBHrSioWc+FEbm6uZoMNbif1zJgxA1tbW6Dom3zq55hMJvr06cOXX37JsmXLOHToEMnJycpz1GPp2bNn+eabb3B0dKRdu3YaWxMC3c8++4w5c+awY8cOAF599VWmTp2qHEv6l/cvxRHomkwmpYNuQR1zy1KYKyisg66aunXrSmFuOSL8uAkTJhAYGIidnZ0iOlAjEmLU3cRLg7rS9Lx58wgMDNR0pBC2OXPmTJo2baq8Th3bzO8aSmK34jht27bF3t5e8RP0ej1t27bl559/tqgYWFL2CBto0aKF8pi66n1IyP+zd97hUVXb/36TSe8NAoHQAiSR3gWkCIgU6R2kF0FR78WCiuV67xWw4NcCitKkCIqAXgUVFREktNBraIF0UkgjdTLl9we/fXLOpEI67Pd5fAyTmVNy1uy99trrs9YNoOLWutbW1nTp0kX5t6VAV9iSFOjWbEoS5q5bt45mzZrd07jk6elJ37592bp1q6ZAlhgbb968Cdy7DYvr6dq1K40bN+bYsWMaAbnJZOK7775j5MiRSoEEicTR0ZHHH38coFiB7o4dO4iMjOTYsWMAmn3LqhTmiqLCws4HDBjAoEGDyuW8ksqluA66BoOhzALd4oS5gBTmPgBERkYyduxYUlNTFXvKyspSYo2lobRdzYoTTagpzEcU761duza+vr506NCBYcOGAXD9+nXS0tI4evQo4eHhREVFERYWhslkUmL/guJippbx1aFDhyrXLNdHDx6l7aArBboPBpbzXlnHhKIEupaxzvLqoCvstE6dOkD+/o+Ih8XGxgIovoXsmCspjMK666qxs7OjcePGNG7cGIA5c+ZgMpk4cuQIv/32G9u2bSvgy0qB7v2P9DWlr/kgIeZJKysr/P39mT59OsOGDSMzM5OIiAiSkpJwcHDA29sbGxsbWrRogU6nKzTHvTztQfiuiYmJZGVlKXYo9qbq1q2r2VuQ3J+YzWY6d+7Mxx9/TFJSEj/88AOJiYlcunRJyb3z8/OjadOmNG3alB49euDm5qbkkgjKc09H7GHt27dPk+Mk9ByiyYocIyUSiaT6IMW5EkkFkJ6ejoeHB7dv3yY7O7uA45OSksLnn39OTk4OM2fOVBz6ew3GiUV1amoqM2bMICIiQtPtRDhmCxYsICMjg2+++YYjR46Qk5OjVFrX6XT4+fnh5eWFh4cH7du3x9nZWakSbdndpziHTrzeokULfHx8lErrMvhYc+nfvz9btmzh/PnzmirQy5Yt4+OPPy5TdSgp0JXUdNQC3dmzZwNIge59zN3MX5U11xWVIKTX69HpdOTk5LB9+3YyMjJYtGhRgQ644ho7dOjA2rVrgfzCGiKxKCQkhClTpgAyqFNdEf6Zh4cH06ZN44MPPiAuLk4Jygmh7JYtW6hfvz5+fn4FjqF+ttu2beP1118H8m1E2LTYEBGiBPGzOJeYn8XPQhy8dOlSMjMzeeaZZzTHAynQlRRPcZ12HRwccHJywsfHh7Zt2wKQk5PD6tWrWb58uUZsaTQaqVWrFpmZmWRlZQFoNv6EfauF6GrbVHfXVRdgsuy0m5eXp4g8zp07h9lsZvz48YwZM6Zi/1CSUlGYMBe0HXMXLFigrE0E9zL3ic+0bNmSBQsW0KBBA7Zv305SUpKmiJWw8ePHj7N8+XL++9//4ufnV8CXtLOz44MPPmDOnDl069ZNCnPvQywTEe6G0gp0V65ciYuLC97e3rz66qtA5Yok1BQm0LW1tVX80GHDhvHuu+8C0getTM6fPw/cmX/FmkLMf2KsHDt2LOvWraNr166FVr+/G4R9wp3Ozn///bfG/xTMmTOHdu3acezYMSWumZWVha2tLQ4ODnh4eBAQEICDgwP169cv1EdU+65FIe7Fw8NDScQ0mUy0bNmS9evXY29vr7lmSc3BwcEBuGNz6nVKYmIiULHzaUkCXZAddGsyFSnMFfTo0YPWrVsr6wu1DaekpJCbm4u9vf0934PJZMLe3p5nnnmGf/zjH6SlpSlrfOFDrF+/nn/961+y4JBEobQCXVHQqjKLwZTUMVcKJ+4vKqqDrogRRUVFMXny5ALCXHUcQQpz7z9EIYx///vfpKamYm9vj16vx8bGhsTERCIjIzWdm0qiPLqaFYelIEis06ysrBQRkIid5ubmEhcXR0pKCiEhISQkJHDkyBFu3bpFRkaGcv/qtZMoamc0GuXYWYlYPv/qFhuRHXQfXCy/9yWNAfdiu8V10C1MoFuWDroixtO0aVPleiHfxoUPWZQwV/qX1Y/S2pz6WVcklrEdkXdnZWVFz549qVevHtbW1mzdulUKdB8QpK8pfc0HFWFD6uZPXl5eSo56YRTVdKq8EGP0l19+SXJyspL7JNb8jRo10uQrSe5PhG3VqlWLWrVqERwcDMDt27dxcnJSxlX1nK7ewyxvhH+p1+sJDQ0F7uQ7idetra3p169fhZ1fIpFIJPeGzCCRSCqAZs2a8d577/HOO+9w8uRJJeEH8kVcSUlJrFu3DqBMAl3h9KWlpTFp0iTCw8MLCHPF+zZv3qwIdy27+Vri4uKC0Wikffv2+Pv706lTJ4KDg5UFUWm6UTg7OyvBIrlortk4OjrSsGFDzp49qxErREVFcfDgQUaNGlWm52op0DWbzfz4448kJiZKga6kRiAFuvcvluNLbm4uubm5HDt2jPj4eFJSUpQqlg0bNsTLy4vg4GDq169fpcJckUQurt1gMNCqVasCwlw1ffv2ZcSIEXz//feKOEPY9r59+/jmm28YP368HG+rMeLZdO3alW7duvG///1P2QgWm8OHDx/m8OHDjBw5ssDcLT7/yy+/8K9//QtAs7EsukvpdDpsbGwUgW9aWhoAycnJAJpNaHF+4X9++umnWFtbM2/evAL+r6VAV1xPcQJds9nMuHHj8PX1rfg/sKTaUFynXbPZjIODg9LRybLT32OPPcb06dM5ceIE586dIz4+njNnzmAwGEhKSgLyhbfq6r0i8V0t0lV32lUL0kXyJtwZp4cOHap8p6TfWrUUJpwAbZL4woULmT59OlC+z8vf359Jkybh4uLC5s2biYuL0wh0xc8HDx7k3Xff5eOPP1bsTlQFFgLdtWvXFiicIKm5FLapXJjdlcYeixPoqhMwPvjgA+Uzld0x1xK1QHfJkiVcunQJQCPMlXZeubRu3ZrnnnuODRs2FPDDjEajYifTp0/XCHTv5RmpRa7z58/nzz//1BR9gfzEnKNHj/L111+j1+uVwgpFISr4N2jQgK5du+Lj40Pnzp2xtbUtUMW6MPGjyWSibt261K9fn4iICFq1asWmTZukMLeG4+/vj6+vL0lJScoaB+Ds2bNkZmbi6OhYoeeXAt37k8oQ5sId+/H09NQUxFInEZfVRsS11a9fnzp16pCWlqbch9gLOH/+PKmpqbi4uMi5WaJQnEBX2I6gsGIwGzdupFWrVpXeMVcKJ+4/KkKga21tTXJyMkOHDiU7OxsHBwdyc3MBKcx9ELCyssLW1pZmzZpx4MAB8vLyFBFFamoqN2/evCvBBFS8aEJNYXYo7NPOzo5GjRrRqFEj2rVrB9wpPp+dnc3Zs2e5ePEiN27c4Pjx45hMJhISEpTPg1yvVxbqdUB8fDy+vr7VMq4sBboPJuJ7f+XKFa5cucLevXuJjo5WbNTNzY2ePXvi5+dH7969lc/d7fq2OIGuetwsD4EugKurK1BQaBEfH690z5s+fbr0L6sxhXVUjI6OJjc3l+vXr2Nra4u7uzv29vY0b95ciUNafr6isRSnBQQEMHnyZAAp0H1AkL6m9DUfdNS59KV9b0Wya9cuTp48qbkeseYfNmwYTk5OFX4NkuqDelx0cnJScjXEOKUunllRiPF5xYoVXLp0SZMvZzAYsLe3p0mTJsp7JRKJRFI9kFkkEkkFYDabCQoKUjp/qAW6oupTeQh01cLciRMncu3aNY0wF/K7OJlMJqKjo5XrE53OxDkBzfmzs7MxGo0cOnSIkJAQvvnmG+zs7PD396d169bUq1ePXr164eTkREBAgPJ5yA+oenl54eTkRM+ePeWiuQYjBDbz58/n6NGjJCQkKIuLlJQUvv32W4YOHap0tykPge5TTz0FIAW6khqFFOjef6jHlbi4OM6cOcOOHTu4fv06kZGRBd4vxqJ69erh5+fH6NGjadGihVJl1/KYZaUkYa5aaPHyyy8zbdq0Iq9BvNa9e3d+/fVX8vLylKqUIsBz+PBhnnjiCZydneV4W83x8vJixowZHDp0iNjYWMU/1Ol0pKSksHLlSrp3746vr2+BjfBTp07x8ccfKwnFauFh7dq1ady4MVOnTsXX15cWLVoAdyoF6vV6fvvtN86dO8f27ds1laJF9zthkx9//DFubm5MmjRJ8UnVYiTx765duyrXVZRAd+vWrQBSoCtRELbk6ekJ5FfuFcTGxuLv74+/vz/Dhg0DICEhAbPZzKlTp4iLi+Py5cucO3eOjIwMYmNjlaQKyJ/v1d8P9ZpKVkivvhTVMVc9X77yyivKfFkRz6t27dqMGjUKNzc3vvjiC2JjYwt00DWZTOzevZt33nmHRYsWKfYkRBfqStIldX+UVF8si1NERUWRnJzM+fPnlSSMpk2b4u7urhQbKK3/VZRAVyTyqDcPhQAcqkaYKxAC3VdffZUFCxbQvn17GUeqItSFUoTwS51QK+yoPAS6lsLcP/74Q1PcQiCSH0+dOgWgVKZWj4Fqn9ZgMHDr1i0SEhI4e/Ysu3btAqBJkyY4OzvTp08f/P39adu2LX5+foUW+rC2tsbJyQlra2uCgoKkMLeKKS9xqpeXF25ubsTHxyuvWVtbk5OToxRjqWikQPf+orKEuXq9Hjs7O6UzrjqJF+4IxMqzoMzkyZN5/fXXCxSdvX79OitXruS///2vnJtrIOquNsX97l5il2qB7uLFi0lPTy+wVwn562Xhc27atImWLVtKYa6k3KgIgW52djZdunThr7/+UgRBkJ+kK4W59y9iPBQxRoGYd2/dunVPx61M0YQllh3PIP8+nZ2dcXNzw9fXV+m+k5ycTHZ2NkePHiUxMZHQ0FAaNGjAG2+8AUibr0jU/v+iRYvIyMjgmWeeoXnz5lV8ZYUjBboPBuIZGwwGMjMzWbFiBfv37+fGjRvKe9SF/vfv34/JZKJPnz507tyZ0aNH4+LictfnrcwOugEBAUonsry8PGWdrtPpuH37Ns8995z0L6sx6nzH5ORk/ve//3H58mUOHToE5BebtrW1xcbGhqCgIOrVq8eUKVOoV68e3t7elZ57pj5Ps2bNpED3AUL6mtLXlFQf4uPj+f3335VC7upGFgEBAbRu3bqKr1BS2ajHMfW+TGHjXEVy5swZjhw5AqDk4Ilzjxo1qtquDyUSieRBxsps2UZGIpGUC8IRCgsLK7SDrroDhI+PD9OnT2fmzJlA6RaXxQlz1RXTLRfPxX3l1e9XV5MTAh/LrhTOzs4AdOrUidq1a9OtWzcCAgLw9/fHwcEBgN9//53HHnus1PclqZ6YzWbS0tJYuHAh+/btU4LNVlZWGI1GpkyZogQAyxqwEXaSnp7OF198oQh0AaVqoQjo9+7dm1mzZkmBrqRaIWw4MzOTVatWKQJdKGjD3bt3Z/bs2VKgW81QjyVms5mVK1dy8OBBQkNDlfeIjWSxySiCcyIR02g04ujoiIODA0899RTt27cv14BdccJccX33kiCUm5vLxIkTOX/+vEY0Ke517dq1mkRiSfVEPLeDBw8ya9YspXOtsBuDwcAjjzzCZ599hp2dneIfZmVl8emnn7JlyxZyc3M1m8udO3dmypQpdOjQQbNJJLrpqkUKP//8Mz/++COHDx/WbJKrRePW1tZ88MEHDBo0qNh7ADh06BDr169XinOI75+wTR8fH8aOHVsqga7l91v6DRVDdfjbZmdnM3jwYOLj4zXCWS8vL7Zv307dunWL/bzJZCInJ4fTp0+TnJzM8ePHiYiI4NatW4SHhytCDjXq74HBYJCJGNWIojrmqufLihbmqklLS+N///sfa9asIT4+XplzQVvwZeHChYwZM6bCrkNS+ViOjz/88ANnz57l+++/Jy8vr9BuoN27dycgIICZM2fi6uqKk5NTqcbZ2NhYtm/fXkCgK65DTVUKc9UYDAYiIiKUInBy7Kwa1PYVEhLChg0b2LdvH5Dvh5nNZk2hg7sV6JYkzC3JXysqvmkZAxUJkup1jYgfeXl54evrS1BQEB07dqROnTq0a9cOnU6Hvb09ZrOZ9evXM2HCBCnMrQLEcyuqC8PdisjEumbu3LkcOHBAmXuFL7B169ZKTbIxmUwcOXKEVatWcfDgQUD7/RL39sgjj0iBbjWlsoS5ambMmMHBgwc1ezYGg4Hx48fzr3/9q8zrMPH5mJgYXnzxRU6dOqWMneIeGjduzNKlS2nVqlW1WPdJSqaw55SRkaHEiuzt7TGZTAU6y9+L7WZnZ7N79+4CHXTV1yKKIXz88cf07dtXs59ZVqQwVyLIzMxk/fr1fPLJJ0B+US5152adTldqgW5UVBQff/wxO3fu1BRok8Lc+xsxfh49epSpU6dqiruZzWamTZvGK6+8cs/zYUZGBtu3b9eIJoSdquNVy5YtY/DgwZprqkiELRd2rszMTCU/RNp8xaH2+998802lQOnYsWN58sknqzwBuzg7VK9ljh07xurVqwvEE8TPwm+WAt2agTqHZ8+ePezYsYPQ0FBlXhR+n7phBeQXX7Ozs6Np06YsWbKEgICAe4qvxMTEsG3bNo1AV4yV6p/nz59/zwLd2NhYBg4ciF6vV14zm83Ur18fOzs7wsPDpX9Zzblx4wYrVqwgLCyMK1euFGiSIta46tiim5sbHTp0YNSoUYposCq5cuUKGzduVMZ/9bpK7SMsXrxYCnRrMNLXlL5mdeBB/jur7/3//u//+OKLLwA0e0pms5nJkyezaNGiqrzUBxZLHcODgrhfvV7PkiVL2LJlC5Cfcyz8mKVLlzJ8+PCqvViJRCKRFEBmk0gkFYRwDCuig25Jwly1AFgsqIVzJhYO6oChWiisvn7IT4TKy8vTVAUS1eZMJpNS8XD79u1YWVkREBCAm5sbr7/+uhTm3idYWVnh4eHBqFGj2Ldvn2JTImC5b98+OnbsSP/+/culkprsoCupyZS1g6604apFPKOMjAwOHz7Mt99+y99//608EzHfimCHel4XP4tj6PV6srOzWbp0KY899hj//Oc/adKkSZmvsaKEuUajEXt7e2bNmsUbb7xBRkaGcj/29vbk5uby6aefEhQUhLu7e5nvQ1JxCJvs1q0bzzzzDCtWrFDmbqPRiLW1NSdPnmTjxo1MmzZNSfS4efMmP/74YwFhbt++fXnjjTeoU6cOQAF/U2yiCxsbNGgQgYGB/PLLL6xdu5asrCxNRVYxBn733XcEBgYqApzC7qE8O+iK99+8eZO8vDz8/f2lj1oGiguGWwpqqmJuc3BwwNXVldjYWE3yul6vJzk5uVhxrrAxJycnxf7ExmRGRgaRkZFkZGRw7NgxEhISuHTpEtevXyc3N5fs7GwABg0aJBMxqgnVTZgL4O7uzuDBg8nKymLDhg0kJycrfqDwMTIyMvj111/p0KFDufgPkqpH2FZWVhZhYWGsX7+e3bt3K78XFfvViV0Gg4GQkBBCQkI4cOAAvXv3ZuTIkTRt2rTEsbW4DrqgHauFMHfjxo20atWqygRgNjY2UphbDVDP3d27d1det+x4U1QH3ZJsszhhrlo8q95oVscj1cIeS8GPpcDHUugoPmcwGEhPTyc5OZmLFy/y/fffY21tTUBAAO7u7jRr1ozRo0crc4NlMRpJxZKXl8eYMWMwmUx4enrStm1bmjVrRv369QkODsZoNOLk5AQU7ncWJuoVz75ly5YcOHBA+Yywoejo6EoV595NB92XXnqJ999/Hw8PDzk2VhMqU5grbDsxMZHY2FhN7FD4sh06dADKLm4Un69Xrx6tW7fm5MmTGiG82Wzm2rVrHD16lFatWsn4ZTXGMm4TFhbGxYsX+euvv0hNTSUiIgKDwYCDgwM2NjY4ODjQtm1b/P396dWrF3Xr1lUSYi2PVxzqDrqWAl0xR4tY06FDh2jevDn+/v7lcs9SmCtRU1QHXdF17G476Pr7+/Pcc8+h0+n43//+B8DLL7/MjBkzAGlH9yti3PP09NTkSgjS09M177tbqrKrWXEU1wlIzA1FFdGRlB11POaNN97gu+++U2xh69atGI1GJk+eTFBQUJVcn7DT27dvA+Dq6qr5vdpGi+qgq7Zx2UG3ZiDmucTERD799FMOHDig7LuI/9SCMsgX5Yp4jslk4sKFC8ydO5cFCxbQs2fPu95rLq6DrnrcvNcOusJGHRwcyM3N1YyD0dHRBe5H+pfViytXrnDw4EE+++wzpUOu2kYtcyPF89XpdKSnp7N371727t3LggULmDhx4j11eS4viuqgazAYZAfd+wjpa0pfs6pR587ExcXh7++Pj49Pgd/fj6htbP369Yow17LIcbt27Xj22WeVf8tYaOUgbC83NxcHBwfNft/9apMC9T1+9dVXijBX7XeazWb69esnhbkSiURSTZEZJRJJBVIRAt3ihLmApoOf+vNOTk7Y2dlx+/Zt8vLyMBgMSmBU/F98Vp0UrN7AVzt46uQ28XsbGxtyc3O5dOkSffv2JTAwULnu+90xflDo1q0b/fv357ffftNUEoyIiGD37t20b98eHx+fMi9IpUBXUtOxFOhaWVnx/fffFyvQtbKyolOnTnK8rELEs0lISOCzzz4jJCSEqKgopTiFOnFXHfhQ/6xOWDSbzYqo1draGg8PjzJfY3HCXHXXFLj7yv1iwz8wMBAvLy8yMjKUexMdsZo3by6FuTUEMQ/27duXEydOcPDgQU0iZGZmJnv27OHhhx+mRYsW5OTksGLFCpKTk7G1tVVE6I8++igfffSRpoNKUXOsOkk4ICCACRMm4OPjw/vvv09mZqZG3A5w+vRpQkNDCQgIKNRGy1OgK95348YNZsyYgYODAytWrKBx48YPRBC3vFH7Wnl5eYSHhxMbG8u1a9cwm804Ozsr40Xz5s2V91aW2Eucp0mTJly6dEmT9JORkcHx48dp0aJFkZ8v7BrFMV1cXHjooYeAO4U14E7X8czMTJKTkzlx4gRwp5MBPBibBNUZS+GE2NyuSmGuwNvbm6FDhxITE8POnTvJzs5WvivClwwJCeHgwYM0adJErnFqOMK2kpOT2bhxI3v27OHy5ctKchCg6ZqrFhiK34eHhxMTE8OePXv4z3/+o4xBxVGUQFf4jmrBzRNPPEGrVq2qzbhVHa7hQaY0Al2j0UheXt5dCXTVwtxnn322QMdc9XNXFxK0tbXVFBAU6y/IHzN1Oh1WVlYFBLuWBQjFuk3ET9Wx1PDwcIxGI3q9nldffVU5juxWWnkYDAamTZtGWFiYMl4dOXJE+X39+vVxcXGhU6dO1KpVi2bNmtG0aVPs7e2pXbu2ZtwU45l4vtbW1nh6emrOJ3yC2NhYzWcqg9IIdK2trQkJCWH27NmsW7euSpNDJXeo7I65wp6PHDnCjRs3lNeETXt5edGsWbMyn0cgxs25c+dy8OBBrly5oilYZzAY+PLLL+nWrRvBwcHldl5J+SKe2Y4dOzh16hTfffedsmco5j3QdhgLCwsDYPXq1fj4+DBlyhSaNWtG27ZtCxRCKI6SBLri/Js2bSI7O5unn36aevXqlel+pTBXUhjlLdBt0KABTz/9NOnp6bRq1UoKcx8QjEYjbm5ueHl5kZKSoszBRqOR69evk52djb29/T3bQHUVTZSEjE9VDIUJcy39sO3bt9O8efMqEecKm4yKimLChAmMGTOGadOmFdgzlALd+wsxz8XGxrJo0SJOnjxJTk6ORvAIRY8L6hiMjY0NcXFxvPvuu9y+fZuhQ4fe9RpXCHTNZjPr1q1Tig1bihbvRaCr0+nw9fWlQYMGnD17VnndMq4kfFrpX1Yf9u7dy5YtWzh69KhGtA0oMSHIj7mrf1bHBw0GAx9++CHh4eG88MIL1KpVq/Jv5v9TnEBX7SNIgW7NRvqahSN9zYpHzFeRkZEMGjQInU5H8+bNmT59Oi1btqRBgwaK3VW1PVQE4n6+/vprlixZAhQU5taqVYshQ4YUKBIqqVjUtrlw4UJ69erFwIEDqV+//gOxTye+d19//TUffvghUNA2AwICZExKIpFIqjFSnCuRVDDlKdAtqWOueiO9fv36NG7cmNGjR1O7dm3q16+Po6Mjt27dIjU1ldu3b3PixAkSExO5cOECUVFRSrK6OolNfQ3qpDh10EpsbotE0uHDh7N06VLlfXJxcv/g4uJCly5d+O233zSJ40ajkV27dvHQQw8xc+bMcgnWSIGupKajFugKgWRxAt2cnBzmz5+vEaBJKg/xTKKjo3nppZe4cOGCUhVXzMPqBDYx3wKanwFlTjabzeTm5mJvb8/cuXPx8vIq0zWW1DG3LMJcNU2aNGHq1Kn85z//0RT8GDZsGG+++aZyj3KMrRkEBQUxZMgQTpw4oQhyRHLiiRMn2Lp1K2+//TZ6vZ5r164pFa7NZjNt27Zl0aJF2NraltqO1Hbh7e2tdIb89NNPyc7OVhLNdTodWVlZfPbZZzz66KNFdrstD4GueJ8Q5sbGxmJjY8Orr77KkiVLpED3LlALueCO0Cs0NJS9e/cW+n5HR0f69OlDx44dGTJkSKWJCURgvlmzZvzyyy8acYPRaCQlJeWej6lG/D1sbGzw8vLCy8uLpk2bKr+XdlW1VGdhrsDPz48pU6Zw7do1Tpw4ofgZJpNJmdc/+ugjOnToIMUPNRh19en//ve/hIaGkpaWpviZ6k626lgL5Cd9ibE3Ly+PiIgIpk6dykcffaQIH4qjpA66gm3btuHt7c1zzz0nxy4JUPYOupbjakkdc0WnXKPRiIeHh1LEoE6dOtStWxc7Ozuys7OJjY0lMzOTiIgILl68yO3bt7ly5YrGpsV4KmzdUlSk/q6J3ws/uHXr1mzcuBE7Ozs5l1cyeXl5TJkyhZMnTyrrFrWAWqzZIV9EJoqnODs707JlS9zd3enQoQMNGjSgXr16+Pr6KrYF0KNHDz7//HOl+4TwE0+dOlX5N0zxAl2xbyASL+3t7avkGiX5VLYwVxAeHs7GjRsBCiQZt2vXrlzFGWKMdHBwoE2bNly5ckW5R/E91Ov1nDx5Uulk/SAkRtUksrOzuXz5MuvXr+fnn39WnqmYg9VzoXoOFHPw7du3SUlJ4T//+Q82NjbMmDGDvn37EhwcrLynpGdelEDXYDBo1jrbt28HKJNAtzhhrhROSIoS6BoMBk2RmdIKdBs2bMh7772ndIqUdnT/I4RaDRs2JDk5Gcj3H2NjY8nNzcXR0bFM5yhKNGEpvqluoglJ+VKUMFcdxxS2cP78eaByxyD1/uTkyZNJSkpi1apVODo6Mm7cuHsS6JpMJinQreYIG4uKimLu3Llcu3YN0BYLMhgMBXLJBOqYjOXz/vzzz6lVqxaPPfbYXY9n9erVY8yYMVhZWWk66BYl0H3mmWfu6vjqfSzLAorSv6x+bN26lc8++4zExERNAQB1V0QRFxJrePXPwnZNJpPiG16+fLlarHNlB937H+lrSqoCMV9FREQwadIkxdc8e/YsCxYsIDAwkG7dujF27Fhq166Ns7OzJpZUHeziXuKR6mvX6/V89dVXhYofxXs6d+7MgAEDlHiapOJRC3PHjRtHSkoKJ0+eZNeuXTRu3Jinn34aHx8fTYfn6mKT5clXX32laC8shbnOzs707t2b5s2bA7LQtUQikVRHpOcgkVQC5SHQFRvWRXXMVQtyhg0bxrhx42jVqpWmyxnc6aDboEEDACWxTq/Xk5qaSmxsLMePHycxMZEDBw6QmZlJXFwcQIHziCCV2NQX1zh06FDFOZTBx/sLsZiZNGkS+/fvZ9++fZrEDoPBwPvvv4+fnx8DBw4sl4WPFOhKajqlEeiKzqrHjx/Hzs6uiq/4wUQdfJw+fTqxsbHKJpt64xvAw8ODBg0a0LFjRwICArCzs8Pe3p4zZ84QHh7O8ePHSU5O1myWz58/n+Dg4DLNi0UJc0VhjPIS5opxs0uXLjRv3pyrV68q8/u77757T8eUVB3ieQ4fPpzLly+zdu1axY8T8+e3335Ly5Yt8fLy4tKlS8Ade7Kzs2PIkCGKwPVen7mrqysDBw4kPj6ezZs3K+I44dsmJSWxe/dupkyZUqRtlVWgq9PpuH79OjNnziQ2Nlb57pw/f5758+fz2Wef0bBhw3u6vwcJ8TfOzMzk2LFjbN68WfEHAezs7Ap0wsnOzmbXrl3s3r2bzZs388orrxAcHFzmYgWlRXRGsxS7nThxQjNO3yvi3ova/JFjZdURGRnJpEmTCghzRdIFwMKFC6tUmCto1qwZ//znP5kyZUqBTj42Njbk5OTw888/K12opV3VLNQFYJ5//nklgVLdXUI9log4i7o4DGhFFMKm//GPf/Dpp5/Sr1+/Em24uA66osiAwWDgiy++wNramueee06upSVA+Ql0SyPMhTvrnrZt2zJ16lTat29fZAEXgRgvL1y4QEpKCvv37ycqKopr164p627hBwgfRZxT/R0U19iyZUs2btyIvb295polFY8QxqiFuWIMFHO3uuCKeGZWVlakpaWRlpZGXFwcZrOZ7du3YzKZ8PT0pFmzZvj6+tK7d29q1aqFt7e3pvOysI/MzEzl2EKAWFnjYFECXTs7O/R6PS1btuTrr7++q6JJkvKnsMIvYv708fFhzZo1FSLMzcnJYf/+/YSHhwP5+zQmkwk/Pz+lSn55imStrKwUocUPP/ygJNyL70t2djabN29m2LBhODs7l8s5JeVDcnIyW7du5ddffyUsLEwjvBWF2ATqOd6ys7wYY/V6PcuXL+fPP/+ka9euvPDCC6W2MyHQNZvNLFmyhPT09EITgMsi0JUdcyWlobgOuvci0BXCXPW6TXL/IgoZqIVaYt8oOzub27dv4+HhUebz1NSuZpLyoSRhrnjGwg9MTU0FKq97V2H7k46OjmRnZ/Phhx9iZWXFmDFjCnwXZAfdmo1aHDF9+nRiYmI0xXdF0RWA1q1b4+7uTp06ddDpdFy+fJmIiAgSExOB/HiMWqCbmJjI4sWLadq06T0V0BUddIECAl31uHk3Al1xDfXr1wfQiDyFLUv/snqxfv16peMh5OfmWHZ2NhqNODs7YzQacXR0JCcnR3kdUNYQeXl5PPTQQyxatKjS9jFLoiiBrnoPSQp0ay7S15RUNsIHK6wAobCDy5cvc+nSJf766y8aNWrEU089Rf369fHx8SlQBLUqiImJISwsjObNm+Pv71+qa1H722fOnOGHH35g8+bNgFb8KHwcsXdfXeaCBwF13ubEiRNJSUnBwcGBnJwcrl27xpUrVzhx4gSNGzdmwoQJdO7cWWOT1YG0tLQCRYtKQm2b8fHxfPPNN3z++edAvm2qc/MfeughpkyZUmlNESQSiURy98jsEomkkiirQNfa2rpUHXMnT57MokWLlPNaBgHViyRxTp1OR+3atalduzZt27YFULpJHTp0iMjISI4ePcqVK1fIyMhQAq3qIKoMPt7/qKuiz5gxg/DwcKKiopTXhR1+8MEH+Pj40KlTp3I5b1kFuhJJVWMp0DWbzfzwww/cvHkTa2trcnNzAfj000/p0KFDFV/tg4cYR65cucLUqVNJTk5W5lgReLOzs8PNzY0JEybQo0cPWrduXeA4ffv2Be5077l8+TIrV64kOTkZe3t7Jcn2XudFMd+KitTqjrmWAuKyCHMh309o2rQp7du35/LlywwbNkwKc6uIsv69xcajtbU1//znP4mIiGDPnj1KoqWYu9evX4+fn58myb127dr07du3QKGXe6Fu3boMHDiQgwcPFui6YzabOXLkCFOmTCn2Xu9FoGsymZgzZw7p6emKMFfcs0i8S0xMlDZdCsTf9tatW6xbt44///yT8PBwRcxiNpvR6/XK+0XCr/DRAK5cucLChQsZMWIEw4cPJyAgoMKvu1WrVjg6OqLX65VupIAyB8tnf38SHR3NsGHDyM7O1nSYh3zbXLBgAdOnTwfKV8hwL5jNZjp16sS//vUv3nrrLUX8IK7NbDazZ88e5syZoyQBS2oG6u4SM2fOJDIyUiNsUQsDzWazxlbVHUDFeCXGMLUY6Pnnn1cSyEvagC5OoKveeBebflKgKxGURqBrKW5QC3T1er1SiKokYW737t1ZtmyZknRUWEV28bNICNXpdLRr1w6APn36AHfm+uvXrxMeHk5ISAgpKSmcPn1aI8pUFxjJycmhVatWbNq0SQpzqwCDwcCTTz7J6dOnNQmU6qRX9XikFu6qK9qru/eYTCbS09M5evQoAD/99BMAXbp0UYp2qEVq0dHRnD9/nhYtWmj8ArW9VaTvKAS64h5CQkLQ6/VKJ2dpl1WL6CShTlgTYkcPDw+2b9+Or69vuT4jYXPnzp3jq6++4vbt2wWS4QMDA5VCrOXtz5rNZlq1asWYMWP49ttvldfgzrh59epVNmzYwFNPPSXXVdWE+Ph43n33XQ4dOkRKSooyHopuZWI8U49/6oIw6nlWIPzDCxcucOHCBU6dOsXrr79O48aNcXBwKPGaHB0dGTBgAFZWVpoOupaJ5Nu3b8dsNvPMM8+UWqArO+ZWf4r6W1dFEm95d9CFyhPFSaoeGxsbWrZsyd9//60RE6anpxMWFoa/v3+5nEeKJh5MihPmijkc8sdOdRGhynjuRRUOVgshly1bRnZ2NnPnzi1QhFoKdGsmlh31kpKSCuydOzo60rFjRwYPHszAgQOxt7dXPp+ZmUlGRgbLly/n+PHjhIeHF9oxOS4ujv/+97+sWLGiVL6lJUUJdC3HzdIKdMW836RJEwCNvyB+L/3L6sPatWuVZ6Aueils1MbGBp1Ox4gRIwgODuaRRx7BaDRia2vLpUuXOHv2LH/88QcRERHK/mbDhg2ZNWsWrVq1qspbK0BxHXTVti5yRaVAt2YhfU1JZSKK2k+dOlUT5xRCcXVs/fr161y/fp3Dhw/TsmVLBgwYwOOPP46Xl5cyJ1a2bYiidD/99BP+/v48++yzGp9RHd9Sx/R1Oh15eXl8+eWXHDhwgJMnTwKFC3Nr167Nxx9/rBTrkFQ8lr6nsM3c3FxlHNLpdCQlJZGUlERoaCgdO3akVatWTJ8+HWdn5yrv8BwbG8vnn39O7dq1mTBhgvI9KSkPRfzu119/5bfffuPnn38GtLYpxmd/f3/++9//lljUWCKRSCRVi9zJl0gqkXsR6BqNRubMmUN2dnaJHXOnT5/OwoULAW2Avqhrsez0pHZMPTw8sLKyYtCgQQDMnj2brKwsrly5wqlTp4iIiODgwYPk5eVx8+ZNGXx8QBC2EhgYSNeuXYmNjQVQguhwJwlk1apVuLq6EhQUVC7nvVuBbmpqKm+99RbBwcHlcn6JpKyoBbqzZ88GYOfOnURHRwOwfPly+vXrB1RthbkHDbVgYsaMGSQnJyvBRxF4c3NzY+zYsTz66KMa8bQ64VJsxOl0OgIDAwkKCqJDhw6cPn2a3NzcQsW8d4OVlRXp6ekMHTqU7OxspaKrZYGOsgpzLf8uo0aNwt3dnX/+859lPqakZNTf/bCwMIKCgpSxoyx/d/FZW1tbJkyYQGRkJFeuXNF0Ebtx4wbh4eHKuaysrBgyZAh16tQpt+fetm1bJkyYwL///W/F9xX3+/fff3Pp0iWlK2RR3K1Ad8eOHaSnp7Nnzx7i4+MVH9rGxoa8vDzc3d35+uuvy21T635F/E1v3rzJv//9b44ePUpGRobyDNVJQpbPT/xOPJ+kpCS2bNlCXFwcs2bNKjdfsShcXFyUoLfAxsaG1NRU4uPjqVu3boWeX1L5mEwmDh48qCRTCOEOaMfZ+Ph4cnNzsbe3r1JhLuR/b3r06EGvXr3Yt28fkH+9Op2O8PBwNm/erKyFJNUfdXeJyZMna+YhyN/kBahfvz6BgYEMGjSIWrVqkZOTg16vZ/fu3Vy5coWLFy9qYkagTQ775z//yapVq0o1phYn0FUnYEiBrsSS0gp0LTvorl69mkceeQQoKMxVb0objUZ69uzJl19+CeSPgYX5GOLnwnxUcUxfX1/q1KlD165dmTRpEnl5eVy8eJHU1FT++OMPYmNjOXv2LGlpaeTk5BAYGCiFuVXIzp07cXBwoGnTpiQlJZGbm0teXp5mzSKSadTCK0Dzf/GzmP/VnZGFkPLIkSOANnETIC4ujnnz5hEYGIinpyddunShdu3aNGzYEH9/f/Ly8jTJxuL4ll1ZyoK1tTWdO3fGysqKlJQU8vLypDC3GhAdHa10khDdjNVjU506dZTOy+X1jMRYFh0dzaJFi7h586biR4iCWk5OTjz//PN31cHhbtb34h7btm3Lli1bADTfJYGME1UPYmJieOGFFzhz5kyBTlHiGYl/q8W36p/F2lldGFjdNVmn03H8+HEWLFjAtGnT6NOnD7Vq1Srx2kQHXaBYge6OHTsASiXQLU3HXHGvcu+yahB/69jYWGJjY/Hw8KBRo0bY2NgUmC/Lax4tifLuoCt5MBB26ePjA+QXURPrH9HBtLyQookHi9J0zFWvh+DOmBkbG0tGRgbOzs4V+tyLEuYKAYcaJyenAsJcQWkEuiLXxNbWlqSkJObOncu6deuqnUDuQcCya5lauCNs08PDg2eeeYZHHnmExo0bK58Vz9PBwQFnZ2dee+01/vjjD7755huOHz+urGfE87aysuLChQscOHCAfv363dO8W5xAV+1r3k0H3UcffZTLly/z/fffa/xOKcytPnz99dfKMygs5u7i4sKAAQMYMGCAEpdUU69ePfr06cMTTzzBuXPnePPNN7G1tWX8+PH06NGjyPGsKimug67RaMTe3p7c3Fxee+01GjRoIAsc1BCkrympbPR6PXPmzCEhIaFAnBO0MXbhl2ZnZxMaGkpoaCg//fQTzZs3Z+7cubi5uWm6d1a0neTl5bF//362bdvGrVu3iI2N5ciRI8ybN4+WLVsqDTUs7+fixYscOXKEH3/8kQsXLii/UxeZF/OHl5cXa9euVQp1SCoHa2tr4uLiGDt2LGlpaQWKr0N+7Eg8q+PHj3Ps2DH2799P06ZNmTp1Ks2bN8fFxaVAgaOKJiMjgz///JOff/6ZzMxMLly4QK9evRg9erSyX6Be+4nrSk1N5datW3z22WeEhoaSkJAAFO7beHh4sHLlSho2bFjh9yORSCSSsiF38yWSSuZuBbqbNm1SkjIthbnqZM4ZM2bw8ssvA/fe+aewRDd1RRlXV1fat29P+/btgTvViPR6PSdPnmTgwIGADD4+KHh4eDBjxgz2799faHJQaGgoW7ZsYdasWeUmeClJoKvT6ZTAQWZmJk2bNi2X80ok5YWlQDcvL4/vv/+et956SwpzqwB1gtC8efNITExUgs1CuOfj48N//vMfOnTogJubm+Zz6oRLEQASP8OdTR0/Pz/NhnlR86PlvF2YHbi6ujJu3Di++uorRUQBlLswF/ITK4OCgpSNbzm/VyzqZ/7VV1+xdu1aZs+ezeTJk8tFoCvo2LEjvXr1IiIiQukiKuZuQJNkK0SL5XFecX9jxoxh9+7dSkK8CKDq9XqSkpIIDAws8Vh3I9BNSEjg22+/1SSXiu+3m5sbX3/9tfQXSkD8LaOjo5k/fz5hYWFAfqEftX2KDUPxe7VQQV3EICMjgz179mBvb89TTz2ldHoqb8xmM56envj5+XH16lUlEdlgMJCWlsbFixelOPc+xNramj59+qDX61m5ciVJSUnKuAD5Y8jXX39NVlYWb775Jo6OjlV81Xfw8/Oje/fu7Nu3TxMXEN+ry5cvV/EVSkpLYUlsRcVyRowYwdChQzVzmqBHjx5kZ2fz4Ycf8uuvv5KWlqYcW1Sx1ul0JCcns2XLFl544QXFZy2OogS6lgkYUqArsaQ0Al2TyaQRN8yaNYtNmzaxZcuWAh1z1cLcXr168cUXXyj/vtfCCZbrMvGdsbW1VYom9ezZE4CoqChiY2M5d+4ckydPxs7OTgogq4jhw4czfPhwsrOzSU9PJyoqiosXL5KSksKxY8e4ffs2MTExpKenF0jKADSdTEUCkTq2re6uK15TF/AQ43JCQoKSAPHjjz8Cd9bifn5+eHt70759e9zd3QkODsbPzw9XV1dcXV01aya1b3wvdmxtbU3Hjh15++23CQwMlHZZDTh06BC3b9/G1tYWvV5fYJ1z9epVXnvtNV577bUyF2eDfNFhcnIyc+bMISIiQiOWFHP14sWLcXd35/Dhw1y8eFERPNrZ2WFlZYWPjw8NGzbExsaGJk2a4OTkVGB9Xxo7HTZsGH/88Qe///67Zm03ZMgQ5s2bV+b7lZSdqKgoZs+ezY0bNwoUthC2ajKZcHd3x8HBgQ4dOuDo6Kjsp0RFRREdHa0khIlxVm13kD93X79+nRUrVnD16lUmTZpEo0aNSrzG8hTolkaYK+YCKZyoGtSFigYNGqSIeVq1aoWvry8tW7akVatWeHh4KMUJLSmLP1gcxXXQVReZkQJdiUD4lUIwofYDAM6fP8+YMWPK1V+TookHg5KEuWLcKayoRlJSEpmZmRoxREVdX2HCXNA2EHj55ZeZMWNGsccrjUBXFAYRxz9//jwPPfRQlRdWfJAojTDX29ubDz74gM6dOxcQGIh/i+fp6OjIwIEDcXV1JTc3l3PnzmnGULPZTEpKCiEhIfTr1++e59u77aA7f/78Yo/XqFEjpk2bhrW1Ndu3b9eMw9K/rHp27tzJ+++/DxQuXvHy8mLRokV06tSJ2rVrAwWflRh3AgICCAgIoHXr1oSEhDBgwABcXV0r/6ZKSVECXbPZTF5eHgCPP/64FObWIKSvKals7OzsGDJkCGvWrCEvL0/zbB0dHcnKytLEVkQxDTHGnjp1ilOnTrFv3z7atGnDyJEj6dSpk1I0piLsRIzhJ0+e5KOPPlL2XAFlL9PGxoYOHTrg4+NDcHAwaWlpJCUlERsby/Hjx5WYkbB1ESsTiK6kK1euJCAgoFyvX1I6/vrrL9LS0nBwcCA3NxfQroUATeMAMV5eu3aNa9eusWfPHnr16kXXrl0VUayIF1aUvybs/fDhw6xcuVIp4Ll3714OHDjAtm3bGDFiBA899BB16tTBxcWFvLw8wsLCiIuL44cffiAqKoqbN28q16gWjYtcPl9fX9asWSNtUyKRSGoIVmbLGUwikVQKwjkLCwsrINAFNIsAtVhIbIarA97lIcy92+subDElg48PDuJZh4SEMHfuXPLy8gosYN3d3ZkyZQpjxoxRgp7lee709HS++OILRaArvhNt2rRhw4YN2NvbS5uUVEuEXWZmZnLz5k1l8SyDmZWH+FvfunWLl19+mZCQECWRXAQVa9WqxZo1a2jevHmFXos6kC4CmB4eHoXag9ls5pNPPlGEEoLyFOZKqpaNGzfyzjvvANC8eXPGjRvHpEmTgLI/W2FTKSkpzJkzh7NnzxZItBSBdZ1Ox8qVK+natWu52pTZbOY///kPmzdvVoRFQiw7f/585s+fX2pfVv0dOXToEOvXr+evv/4C8rtgWaIW5m7evFkKc0vAsrt4VFSU8twsu9E6Ojri7e2No6MjaWlpZGRkkJWVpfxeBJHV3Xvc3NyYOnUqU6dOrdBEoqeeeop9+/Ypaxhh9//+978ZM2aMnH/vU5KTk9m5cydffvmlRqBruZYeNWoUr7/+epULdNV2OHnyZEJDQwsU77K1tWXLli20bNmySq9VUjzFJbGBVpj71FNPMXv2bGUMtKyaC/lCsq+//ppvvvmGK1euACjjsXivv78///d//0fLli1LPXfHxsayffv2Ah10QZtkOW/ePCnQlWhQj1khISFs2LBB6fqtnvOF7yVQC3OFjVoKcytDhKjudqr+rkgBZNWgHu8KWwvk5uYqAp+4uDji4+M5cuQIycnJXLhwgfT0dE2ikDiesMWiOu2Kc4rX1GOcujuoOhlC4OjoiJ2dHT4+PgQFBeHp6UmnTp2oU6cO9erVw8fHp9CxWF1gQX1+y7+H+nW5xq8ebNq0iVWrVhEfHw/kz8Pqjs4tW7Yss0BXjENpaWlMnDhRU6xVbbuOjo60bt2as2fPotfrCxWtQ34n34CAAFxdXWnbti2tWrWiQYMGBAcHF2pfahsUv//uu+9YsmSJci6ZkF59iIyMZMqUKZoCqqD1Ob29vWnTpg1z587F29u7gOjVYDCg1+uJiIjg77//5u+//+bcuXOaAi5qoa/42cXFhe7duzN//nyaNWtWquvNzs5m9+7dLF68mPT09CKveeTIkYUKdIsT5oq1k+xoVrWo10OTJk0iKSkJBwcHcnJyCszTTk5ONGvWDHd3d3r16kXdunVp0aKFkphuSXH703dLZmYm69ev55NPPgG06x8h0NXpdFKgK1G4ceMG48ePJy0tTWOLDz/8MF999VWFnDMjI4Pt27cXEE2AdsxctmwZgwcPBuQ+Y02hOGGuOtncYDDg6enJ7du3Nc/eycmJDRs2EBQUVKHXV1THXPWYebf7k+rvz7Fjx1i9erUSTxDHbdiwIRMnTmTEiBGlKkInKR9KI8z18fFh1apVBAcHl+qY4nnr9Xpl3hXrd3VnSD8/PzZs2EC9evXKNIbFxMSwbds2jUC3sFjn/Pnzi+ygqx5HL126xKZNm/juu++AO4XFli5dqvl7SSqXY8eOsXTpUs6dO6eJr6gLr3/22Wd3tS4vKk5Ynbly5QobN25k69atQL59yzVQzUX6mpLKZP/+/cybN09TcBWgb9++NG3alJUrVxbIq1Cjtg+A3r1707p1a6ZNm6YUDlTHwcvDZuLj45kwYQKxsbEav1R9/YXJYIq6D3WRT1tbW4KCgnj//fdLVYBOUjHo9XrGjh1LWFiYZo53cXHB1dWVrKwsUlNTNUX5BMImxXPt2LEjQUFBTJs2jVq1amFvb6+8t7zHsfPnz/Pcc88RExOjxCzFd0s0ujKZTPj4+GgatqlR35PaNgGaNGnC8uXLZTdniUQiqUFIca5EUoWUVqCrdgirUpgrkagR1fdWr17NZ599pgTm1R0iPD09mTNnDsOGDcPLy6vczq0W6H755Zfs2rWLuLg4WrZsyddff429vb1MqpRUayyD4TKIWflkZ2ezZs0a1q9fz+3btzXV/nx8fNi8eTMNGjSo0I0L9Tj17LPPEhISwnPPPcfIkSNxc3MrUqC7fPlyVqxYAWgrUstNlprNV199pWzqikBdQEAAEydOLDeBrvj8tWvXmDp1agHBGqAIKTZu3Ejbtm3LfF8CYc/Hjh1j9uzZ6PV6TTByyJAhvP/++3c1HpYk0FUn6IvEOinMLR3qLieTJk1SCqGI9YbBYMDe3h5fX1/Gjh1Lp06dlGSgtLQ0bt++zaZNmzhz5gznz58H8jeHRXKR0WikVq1arFq1iqCgoHIfw8TxXnzxRXbu3FlAWPzEE0/wwQcfyDXUfUxRAl3QbhxWF4GuWPuLeV697tfpdFhZWfHFF19oulVKqhdFJbGJ6tNqu1uwYAFz5swp8ZjqMeqbb75h1apVxMTEFBB3mUwm+vfvrySXl5aiBLqW1ysFuhJLSivQtRR4FdcxV8ZxJALLzrdFCXGSkpJITU0lPDycc+fOkZyczKlTp8jKyiIpKQm9Xq95v/i82kbVHVAtUV+DEOyqi3qpEfbt7e1Nw4YN8fHxoUuXLnh6ehIQEECdOnWwt7fHwcFB87mamAT6IKF+Lhs2bGDNmjUFBLqQv2dTFoFuccJcgbpwi0At5FCPr2qRouVnHB0dadq0KXXq1KFv377UqlWLtm3bYmtri52dXYFrS0tLY+zYsURERDBs2DDefffdAn8fSeWjFj8WlUTbs2dPBg0axNChQ4ssGGD5HOPi4rh8+TL//e9/SUxMVESVhQl0HR0dad++PS+++GKpRRpFCXQt9z4tBbp5eXnY2tqW2DFXCnOrjsKEuepCRWK+LW4erVWrFnXr1iUgIIDOnTvj7e1Nu3btsLKyKlDYTS3Wvpd1SlECXXWRGSnQlQhiYmIYOXIkaWlpAEp8MyAggB9//LHCzitFE/cfdyPM7dixI++88w4zZswgJiYGyB9L33vvPYYOHVph11cRwlyBpUB3zZo1yr5Oo0aNGD9+PKNGjarW3SvvN0orzF23bh3NmjW7p328zMxMxo0bx9WrVzWdIcX+3fbt28ulYHZhAt3CfE1RMLgkLl26xIoVK7C1tWXZsmWA9C+rioyMDD755BO2bNlCXl6esuZVF17ftGkTDRs2fCDmwitXrrBp0ya+/fZbQIrHazrS15RUNm+++aYi8BfzsaOjIzt37uTmzZts3bqVvXv3kp6erlnLC38VCop0H3roIVq1asWECRMICAjA1tYWKB+b2b17N++99x43b97UdHgW168+j2VMVC16hPz4g9lspnbt2jzyyCPMnz8fPz+/Ml2j5N4Ra5BNmzbxwQcfkJeXp4xFjRo1ol+/fri5ufHLL79w8eJF5XOWsXNLm/Tx8aFXr1706dOHvn37Kq+X1zyp1+uZNGkSZ8+e1XT8VWMpHFbrQtQNEdRFB81ms1Jo84033qBBgwZlvlaJRCKRVB5SnCuRVDElCXQtq/mrnbLp06ezcOFCQApzJVVHeHg4n332Gb/88osm8UfYqre3N/Pnz2fAgAF4enqW23nVAt1ly5YRGxvL8uXLpTBXIpEUixg7Dh8+zOLFi7l8+bJGfODt7c2XX35JixYtKnRuVY9TL7zwArt27QKgYcOGysZzcQLd9957D1dXV55++mnNfUlqJtHR0UyYMEFJdDAajUribEUJdLdu3cp7771HRkZGoUnF69ato1OnTmW/OQvCwsIYPXp0gcS8exEUQek66MqOuXdHYYkYlsJcd3d3Jk2apFRCVX8W7mxq6PV6Ll26xNq1a/nll18ArRBCHKtdu3asW7eugFChvPj666955513lG5swua6d+/OmjVrKuSckupDTRPoAly7do0RI0ag1+s1G4VGo1GJAcjN7+pHcUlslslf6uIqd3NsgOXLl7N8+XLl38IWrKysaNiwIatWrSrQYawkChPoFpaAIQW6EktKEuiqhWDC1xQCR6PRSM+ePfnyyy8BKcyVlB7LwgSWa6P09HRMJhNXr14lOjqa+Ph4jh49Snp6OpcvXyY3N1dTtdxye0xdmbww0a6lYFed9FNUp103NzdcXV2pXbs2LVq0wMPDgw4dOlC7dm3q1KmDs7Oz/A5UYypDoFuajrmWBVwLE7CrKUzULub1wuy0WbNmuLm50bVrV5o2bUrjxo0JDAxUfr969WoiIyP597//XeDvIql8SlMMZuLEiUycOJGAgIAix0w1lvYSHx/Ppk2b+P3337lx44Zmf1It0LWxsaFDhw689tprGpspDiHQXbJkCWlpaSV20PX19VWEuFOnTpXC3GpMVFQUY8eOJSUlBTs7O/Ly8jTjWGFFN9TzqHrdJGjcuDGOjo506dKF+vXrExgYSFBQEHZ2dgUKCtxtdx4p0JWUFrPZzMSJEzlz5oziK4q5/6effqJx48YVdm4pmrh/KE6YazAYsLa2VsbDNm3aKJ3yHn30UVJTUzVz8aJFi5g8eXKFXF9hwlzQ2tu9CnMFlgLdFStWEB4ezvTp0xk9erQU5lYidyvMvZfnLcauTZs2sWTJEqysrAp0rF+zZk25FaUsqoOupb9cWoFuXFwcdevWBaR/WRWIv3loaChz584lMzNTiTuqbXT16tUEBQU9ULmTV65c4bPPPkOn0/HBBx8A0kZrKtLXlFQWYozYs2cPr7/+uhJLF8/6kUce4cMPP8TOzo6rV6+ybNkyIiIiiI2NBSg0NqQ+NtwpCjhgwAA6derEyJEjNU1+yjI+79mzh++++07JBVLbqqVNWubbA5rrNpvNtGnThqFDhzJw4MBybTgkuXcuXbrE1KlTSU1N1cSHBg8ezAsvvICrqysfffQRp06dUhoECDu0jD1ZCnX79+9PixYtmDx5Mvb29kossaxj2aFDh3jttdeIi4vTFEFU7xlY6kAsr1cdZzWbzYogecqUKdSuXbtM1yeRSCSSykeKcyWSakBJAl3xHjVz5sxhwYIFgBTm3u/UhKDGwYMH+fDDDzl//rwmOU0sbH18fJg5cyaDBg3C19e33M4r/jYZGRk4ODgoCzOZzCaRSApDPZ7Onz+fP/74Q7MR5+bmxr///W8GDBhQoWNvYcJc0RHPYDDQoEEDJkyYUKxAV43cZLk/mD59OocOHVL+re5sU94CXbiTLPd///d//Pbbb0piuvApjUYjS5cuZfjw4WU6R2FkZGQwdOhQEhISNN2qOnfuzIYNG+7Jry1OoGtvb09ubq4U5paS0iRieHt7884779CxY0ela0lhGx7i32lpaSxdupTvv/8eyLdtMf6KIHqXLl0qZDz79ddf+cc//qH8WwS3GzRowJYtW8q1eIykelKTBLoGg4GsrCzGjRvH9evXC3QRUCeaS6oPxXXMBTQbiK+88grTpk3TfO5uzgF3RLJ79+4tNGZ0r/O37KAruVfUc/7BgwfZsGGDplCKOtlBjbowi4zjSMqKeowsbP0s1hjXr18nOTmZCxcusHbtWuLi4oCCSUUipimwrGBeHOrkD7HGL0wIaWdnh9FopH79+jg6OjJmzBhlvSepflSkQLc0HXOhYOFWddKOuDbh4xYlhFMfS1y7sFPL7rru7u40aNCA+vXr07JlSx5++GFatGhR4O8hqXxK43POmzePOXPmKGubu41zimeckZHBwYMH2bhxI6GhoYodWhbgsLOzo1u3brz00ksEBASU6hxFCXQtC9uMGDGCV155BVdXVynMreaYzWbeeecdNm3aVKwfCAU72xRWTEAkJVq+z8HBATc3N3x9fenWrRu1a9eme/fuuLi44O3tXWh8qrBCB4KiBLqQLxiSAl0JwNNPP82ff/6p8fesra3ZsmULLVu2rNBzS9FEzeduhLlt27Zlw4YN2NnZkZ2dzfTp0zl16pSm2NWjjz7Kxx9/jE6nK5c8ocromGuJeow+d+4c8fHxdO7cGTc3tzLfj6R0VIYwV01ISAgzZ87UvCZs4P3332fIkCFlvSWF8hDoFrfvJalcUlNTmTVrFufOnVPmQLE+dnd356OPPqJr166V6qdVF3uIj49XcvCkn1qzkb6mpDLJyclh2rRpnDp1SrP+9vLyYsGCBYwYMQKdTsft27c5d+4c//vf/9i1a5fGNyxMGGvZJbRnz560bt2aSZMm4eHhcU82ox7bLl26xN69e/noo4+U34vrt4xXgTYGKuzY2dmZ/v378/zzz+Pl5VWg6Jekalm1ahXLli0D0Oyr/POf/+Spp54C7hQ637dvH+vWrSMjI0NTeFrEyy1tUhAcHEyPHj0YMGAADz30kPJ6WebQqKgoXnrpJS5dukR2drZy3qJi9eJn9fWJ3/Xo0YPJkyfTvn17JRdLIpFIJDULmfUikVQDhHMVFBTEokWLChXoqjcnHRwcqFOnjubzkvsTsRFiMplITk7Gx8enqi9Jg7DJbt26kZiYyMcff0xcXJyyyBHJEUlJSXz55ZdkZmYyfPhw6tevXy7nF98LtTBEJnRKJJKiEPPl119/rQhzRRDO1taW0aNH8/DDD2veW94UJsxVJ1FaWVkRGRnJli1bAEol0JWbLDUbEZATvp1I7FUHkK9du8bmzZsBmDRpkqbi3r3i7+/PqFGjOHz4MMnJycp1+Pj48Nhjj1WIMBfuBPr1er0S4Bf34O3tfc/HVPvJXbt2VV4/cOAAubm5eHh4sGnTJinMLYHSJmJ89tlnBZLMLccn9b/d3d2ZP38+CQkJhISEaILhBoOBlJQUDhw4QJcuXSpkPAsICMDR0ZG8vDwl0ddsNhMXF0d8fLwU5z4AeHl58cQTTwAUEOiqO/Ns374doEoFujY2Nri5uREcHMz169c1nSaNRqMiIpIFuqoPxY2dUD7CXMi3AZ1Ox8iRIzly5Ai5ubnKpqQ4z4ULFxg+fPhdH9/Pz49Ro0YBFOigazQaleN//vnnAFKgK1FQ+2HdunVTXv/rr780MS11fNNkMjFx4kQA9Hq9TH6QlBn1eGc5NqnXHA0bNqRx48Y0bdqUnTt3EhcXp7xfdH+cNm0a+/btIyMjQ5l3xVpJjIViDlZ337UU/4jPCJu3vE7xmYiICIKCghg9enS5/10k5Yd6DT5lyhSsrKxYvXo18fHxBbo0GgwGzp07x+LFi0sU6JYkzBXzvzi/OsFMCDMAjZBXXbzSMiFNjdls1nS5ENcv1n5ZWVmcPXuWs2fPYm1trSTRW4rXJZVLaXzOBQsWMGfOHM3n7tZvEzbt4uJCv379CA4OZsmSJfz555+ajicitqrX6zly5AirVq3i2WefpV69eiWew9HRkccffxyggEBXvU4Thb7Cw8M5ffq0FOZWY6ysrHj22WfJysril19+ITs7u4D4tqgu3wLxs7Bn9WeF3RkMBhISEkhISODs2bPAnS71dnZ2tGnThoYNG9KsWTPatGmDk5MTderUKdDNR72+cnZ2ZsqUKQB88sknGvvLy8tTBLpTp06VAt0HFGErYo9eXUgtLy+PCxcu0LJlywq1CxcXF2XNbimaUK/ZX3jhBeBOZ6HChO+SquFehbkGgwF7e3ucnJwAlDkP4ObNm+W2li6pY25FCHNBO8a3atWKhx56SMY7K5HKFuYC1KtXD1tbW4xGo6aAq8FgUOy8vKhXr56yzlYLdC19zeXLlwPwzDPPFLvPVdi/JRWPsLvTp08TGxurjJViPezo6Mjs2bNp3749UHE5E4XNp4XZQ2XOu+JcQpgr1+o1F+lrSiobk8mEg4MDTz/9NC+++CLp6elKfDA5OZnvvvuOQYMG4eTkhKurK127dqVr167079+fkydPsnHjRnJycgCUuIw4rvBtxTi9f/9+9u/fz44dOxgwYADdu3ene/fuyrWUZr9bHXcNDAwkMDCQDh06sHXrVk6dOkVUVJRyLEBTYAbyc4mdnJx48sknadeuHY8++mi5/10l5UO7du3w8fHh1q1bmiJBn376KUFBQfTq1YuAgAACAgLo0qULZ86cYe3atURHR2u6jgt7EDYp5smLFy9y8eJF1q5dy9ixY2ndujXDhw/X5G3ezVhrNBrx9/fn888/Z8uWLRw8eJBjx45p7NEyN07YvcFgUNZZHTt2pEuXLkUWjZFIJBJJzUEqmCSSakJpBLpwZ8GQnZ3N559/TmZmJrNnzy4XgYak+iEc8by8PMaMGUPDhg1ZuHAhfn5+VX1pCupgy7Bhw8jJyeHDDz8kLS1NeY9IkkhJSWHjxo2kp6czevRomjdvDpQ9QKn+rAz6SCSSkkhKSuLAgQNKcFGMGz4+PvTt2xcPD48KO3dRwlwRmFRfz90KdCU1F+G/derUif/973+a5O2KFuh2796d559/nrfeeguz2UynTp0YMmQIY8eOBSpG/JWUlER6errmHgEaNWoEcM/nK0ygm5mZycWLF9m4caMU5pbA3SZi3O14VKdOHfr06aMEotXVdo1GI2fOnCm2i0lZ8Pf3x93dnZs3byrHtrGxwcrKipSUlHI9l6T6UlMEuuK7ZVkJVXw/UlNTC8QIJFVHcWOnZVeRsghzBWKObNmyJU5OTmRlZSm/E+PqxYsXgXsbS4sS6IrNQSnQlRRFaQS66k6PANOmTWPVqlX06NFDrnMkFYratkQShru7O02bNuX06dOaTqQGg4HevXszd+5c8vLyOH78OAkJCZw+fZorV66QlpZGTEyMIsAENAkfInFOvaazFByJJAyRWN+6dWs2btyIvb29LL5RzVGvwSdPngxQJoFuccJcSz/C1dUVf39/+vXrR8OGDXFxccHFxYX09HQiIiJIT0/n/PnzREdHk5yczK1btzRiXvU6SMSfBJbrMMtuzyNGjGDJkiXKe+V4XXWUpmPuwoULmT59OlB++y7W1tb4+/vz/vvvs2jRIn799Vdlz0edXJadnc1ff/1F/fr1efLJJ0sVY71bga44pxTmVk9E57JXX30Vk8nE7t27Cwh01RQlciis47w4vvi/EOuKY2ZlZZGens6ePXuU97u5uWFvb0+HDh3w8fHhkUceoX79+tStWxdnZ2fNnOvi4sKUKVMwGo2sWLFCk4wuBboSYSvt2rVj69atQH6RC4Do6Gig4ouoFiWaMBgMUjRRjSmLMFen02FlZUXz5s05ePCgxh+NjIzk2rVrNGnSpEzPV3Tmi4qKYvLkyZXSMVeN+trlWqjyqAphLtzx/WxtbZW1sZjHHRwcqFu3bpmPb8ndCnSlGKL6Iezu559/Jjk5WYm5CDsNDg6md+/e2Nvbl+t5LW3eYDBgMpm4cOECKSkpJCcnk5mZSaNGjXB1daVVq1bY2tpW6nwrxeP3D9LXlFQ2wpYaNWqEr68v6enpmiKrp0+fZsWKFbz00ktAvj/bp08f+vTpw6BBg9ixYweHDh3i6tWrynHVcU11rFSn0xEbG8v69etZu3Yto0ePpmXLlowfP16x/5LsyPJ3nTp1Ijg4mNzcXH744QeioqIIDQ1V9v9zcnLQ6XQEBwdTq1YtBg4cSKNGjTQ5Q3JNXz3p2LEjjzzyCD/88AOQb39ms5k9e/bQoUMHHB0d0el0tGjRghYtWjBw4EC2bt3KsWPH2L9/vya+ri7eb1kcZsuWLWzevJmff/6Zbt26MWjQIGrXrq1cS2nGN/Hd8fT0ZPbs2UyZMoXNmzdz5swZ9u3bpxSlgfzcOLjjW9SrV48mTZowYsQI2rdvrzT0kOOqRCKR1GykOFciqUaUJNBVJ/ckJiayfv16pWq5FOjeX6iFudOmTSMsLIywsDDc3d2ZO3dutRPoCtsbN24cOTk5LFu2DL1eD+QnLul0OtLS0ti2bRs3btxg1qxZdO7cWQZrJBJJpXL+/Hn27t0LoEmonTRpEh06dKiw85YkzBWo53Ip0H2wcHd31yTOqitMVoRAV9jSuHHjOHv2LLm5uYwZM4bOnTsr5y3PZAhxnTdv3kSn0ymBUBH4FF1VymLjlgJdnU6Hv79/hWzq309URiKGTqdjyJAhbNiwgYiICOUZi/EvPDyclJQUvLy8yvXeRIKTEDqqz2swGDh58iRdu3aVY+sDQk0Q6Iqxt1atWgDKd1DMCS4uLoo/Ialaiho78/LysLKyKndhrvq8devWpXnz5iQlJSm+ANxZe4tq1fc6pskOupJ7pTQCXSGmEd+V2bNns27dOrp27SpjmpJKQ4xZ3t7eAAUEtdHR0XTs2BGAfv36ASidnm/fvs2FCxdITU3lyJEjJCQkEBMTw40bNzCbzcoYLBA+tVqMq06+b9mypSLMVccMJNWX8hLoltQxV+1HDBgwgMGDB9OzZ89iE47FeRMSEjh37hzx8fHs3buXtLQ0Ll++THZ2tnJMcR9CVK7uJGEpeBTCXDlOVy2FrdfVyWRQvj5nYTg7O/PRRx/x8ssv8+OPP2riVUKgm5qayo4dOwgKCqJfv36lug61QHfx4sWkp6drRBNi3BZ2WZidSmFu9UD4e66urixatAiggEAXtIUrWrZsqdjP+fPnlecujifWIOpukeqYqXrMFYJdsa5OT09XrsFsNvPNN99gNBpp2rQpTZs2pWHDhnTt2hUnJyceeughXFxceOaZZ3B1dWXp0qUa+zMYDFKgW4Mpr7ifp6cnkB/PFMdMTEws87FLixRN1CyKE+YajcZihbnqtUGzZs2A/HHPaDQqhUkDAgLKdI2igOWECRNISkrCwcGB3NzcShHmSqqGqhDmijEoJCSErKws5XjC/u3s7HBwcCiP2ytAeXTQlVQdZrOZ6Ohojh8/rvH1xNg0YsSIci3OLGxV2OjVq1cJDw9nx44dxMTEcP36deXckL9279ixI40bN+aZZ57B3d29Sgq/SqoO6WtKX7Om0qBBAyZPnsybb76pyU0HOHr0KJcvX6Z58+YaP8BkMhEcHMxLL71EZmYmX375JSdPnuTUqVOatbw63ij8XnHsbdu2sW3bNn744Qcee+wxevbsqfi74hyl8T2cnZ1xcXFh5syZAOTm5pKXl4fZbEav12NlZVVs7on0Z6sfYv00btw4jh49SmxsLJAfE/z999+ZNGkSgYGBmn1HDw8PZs2axZw5c9i8eTMhISH8/fffSu66WIOJuJLYsxHH3r9/P3///Tdr1qxhwoQJtGvXjq5du2pyi4rLnRPHsrW1xdbWljlz5mAymYiMjCQuLo6zZ8+SnZ1Neno6Li4u1KlTh/r169OuXTusra1xcnJSjiXHU4lEIqn5yN1+iaSaUZJAV2xSmkwmkpKSWLduHYAU6N5HiI1jg8HAlClTOHnyJPb29uTm5rJ161bMZjPz5s2rVgJdte1NnToVk8nEypUrlc546t9nZWVx8OBBwsPDWbhwIY899phmU14uMCQSSUVgMpnIyclRBDciAdHa2pqmTZvy2GOPKe8r73m0OGGuSAQWldosg9dSoPvg0LJlS/z8/EhISFA6QFSkQFdtQ//85z81wWnhb5Yn4ni7du0iOztbk9zm6+vLo48+WuC67gX1d0gIjSVFU1mJGEajETc3Nzp16qSIc9UdmoxGI7m5ueV9e4oQvE2bNly9elVTVMZsNpOWlqZcg+TBoCYIdAGuX78OaAVDIgldvC7X/VVHcWNnRYskxHhVWDVp4e+WtfOiFOhK7pXSdtBVdx+bPn26ItCV65z7l8LWulV9Lf7+/kB+TFNc1x9//MHw4cM1Y6nwEVxdXenSpQuAIiS7ffs2CQkJpKamcuzYMZKSkjh9+jSxsbFkZmaSl5enKcglijG2adOGDRs2SGFuDaSsAl0xBhYlzFX7EU8++SQLFy7E1tYWKD4RSMzRtWvXpk+fPgCMHz8eKysrzpw5Q1JSEseOHePChQvExMQQFRVVqFhXHEsKHqsPhfmcQKUKc9XHfe+99zAajezatauAQFd0Q1mxYgUdOnTA09OzVL5pcR10LbutSmFu1aP+W1vO7cIeihPoqt/v5ubGwIEDGTBgAOHh4URHR3P27FkuXLjAzZs3iYiIKLYTuLp7Lmi764r3q/8zm81cvXqVK1euAHfGb9FNx8PDg06dOuHr68vQoUP58ccfNfctO+jWLER3ccsuduoE3rt9bsHBwbi7u5OZmanpvnP+/HkyMjKU4oAVjRRN1AzK0jHXcm0gxDrqmJDBYODs2bM88cQTZY4Dpaam0rVrV3755RdFuAhIYe59SFV1zBW2e+PGDeU19Zj02GOP0aRJkzKfpyhKEuja2dmh1+tZvnw5gYGBSs6ApOqxsrIiLi5O6RyqLlIZGBjIoEGDgPLJM1M30EhISGD79u3s2rWLqKgo5byio7nI8xB+6MmTJzl27BhHjx6lf//+jBw5ksaNG8u59z5G+prS16zpqPdxWrVqxblz5zTj2tmzZ/n7779p3rx5gTU/3LF9T09PFi5cyM2bN9m3bx9ff/01cXFx3L59W7ETtVBXXcTS2tqaU6dOcf78eT777DOmTp3KQw89RL9+/ZRzlPQ9ssw1trGx0RQ2tCzwJe2z+iPWNI0bN6ZevXrExsYqPpuNjQ0pKSm89957fPLJJzg7OwP5Nime78SJExkwYABXr17l008/JSYmhtjYWGVMFfuUwi7UHZ4TExP57LPPMJvNjBo1io4dOzJw4EAlNl8a1LGvRo0a0ahRI7p27Vrk+9XddNX3IZFIJJKai9zxl0iqIVKg+2AjNmJGjhzJ5cuXsbGxIS8vT1m4fvfddwDVWqA7ffp0nJyc+PLLL4mNjVUEx+L3BoOB6Ohonn32WV588UWGDBmCr6+vRjAhkUgk5YkYey5fvgygiB9NJhMNGzbUJOaWJyV1zFVvwKuRAt0HD09PTxwcHDRdGdTPWO3/lWcHXcjvGiWoKNs6duwYZ86cUYKRwvabNm2KnZ1duW/0S4qnMhMxRCC9QYMGAJqCBDqdDjs7uwoRJBTWGU39+oULF8jNzcXGxqZcO0VLKo7i5r/Szo3VWaAr7FBUwlYnfZhMpnKtAi+5N0rqmFvRIgkrKyuysrK4efMmQIHNQyhYhfpeKE6gq/6eSIGuxJKyCnRlTOj+JjMzEzs7OwDl/4LKWuOKcwQGBuLo6EhOTo7SfQry52C1b1iYnyps1cXFBVdXVwA6dOgA5Ffpj42N5fTp0yQmJnL48GHS0tKIjIykWbNmUphbw7lXge7LL79M+/btSU1NZdKkScUKc6dPn87ChQs15y1uzWJpR+o1l+jaK0S7ycnJXLx4kaioKP7880+Sk5M5f/688l2QgsfqQ1X5nIVhbW2tzOUffPABeXl5/Pbbb8o5RWKbTqfj4sWLvPHGG3z66aelXmsXJ9BVX4MU5lYt4m8dFRVFTk6OpruNoDQCXUFISAjp6em4urry6KOP0rp1a0VkkZmZyYULF0hMTOSvv/4iKSmJy5cvk5qaqti/WAMJoYRlwUMxFoqf1eJgdee106dPK91SRNcV9fHF/2UH3ZpBeHg4r732Gu7u7rRp0wZPT0/at2+Pl5cXPj4+QOH7QCU9R09PT9zd3UlLS9PYmejGU5kUJZqwLKr1wgsvYGVlxaBBg+SavRIpT2Eu3Fln1KtXj7i4OM3a5cCBA+Tm5mpECPdC48aNmTt3Ls7OznzzzTea/UopzL1/qCphruDEiRNs2LBB+bf62A0bNiy38xRFUQJdIRYCGDRokBTmViOE7xYZGQmgWQ+ZTCZq166tCHPKY47T6XRkZGTw+eefc/z4cU6dOqX8Tsyr6g7m6hioWAdFRESwefNmTp06xcKFC2nZsqXM6bgPkb6m9DXvB8Tzql+/Pm3atOHs2bOaYlgGg4EVK1bQqVMnJa5o+Xlh03Xq1GHcuHF06dKFq1ev8tlnnxEREaEIutXFvSzX52azmczMTD7//HPMZjP9+/end+/e9O7dW9P1trjvj2VRY4GlaFNSMzCbzXh4eDB//nxmz56tdEEWc+/Vq1c5fPgwffv21diFel729PSkc+fOfPLJJ0RFRbF+/XoOHTpEcnKyslYT9mi5ty7m+a1bt/L999+zfv16xo0bR9u2bWnevLlynUXZpGWun2XDApEnJ5DrK4lEIrn/kLv+Ekk1RQp0H2xu3bqlBBnF81YHOGqCQHfcuHE4Ojqybt06Ll26pFy/WGiIIP8HH3zA+fPnGTBgAI8//rgmyUMieVAozOblOF5+iADM/v37uXHjhqZYgI2NDUOHDq2QufNuhLkPP/wwtWrV4qeffipQ4Q+kQPd+x2g0YmdnR/PmzQkPD9d0HXFwcCAnJ6dA4lh5C3RLwtLe7vZcer2e3377jYiICCBfMA8wYcIEJaFdUjlUdiKGZWKR8G/VVVIdHBzK49Y0CLt96KGHgPxkdyF4jImJwWAwlDmBSVJxWI49aWlpGI1Grl+/jtlsxtXVFVtbWwICAgqdP4uiOgt0Dx8+zKlTpzT3IMZLkfgsfcSqoThhLlR89zJxnJs3b5KZmampOC02DB955JECgrd7pSiBrsFgKCDQtbKyYv78+dI2JYAU6EryuXr1KrGxsfzvf/8jLS2NlJQUpYJ9x44dadiwIT179sTd3b3S49kODg4a8SLcmV9v3LhBVFSUUsCrKApL7lEXn7G3t6d58+ZKwsZTTz0FwJUrVwgICFB8bynMrbnci0D3//7v/5g3bx5LliwpVpg7Y8YMXn75ZeDe/QjL7pTqY3l5edG9e3fgTndduFNMKzk5mUuXLvHss8+W6dyS8qE6CXMF6pjqW2+9RWZmJiEhIRqbhzvfj2PHjrFjxw7FnywNaoHu4sWLSU9PL9AhVQpzqw61MHfcuHHMnj27UHEulE6gK3zCs2fPsmbNGvLy8nj88ceVjiTOzs506tQJQBHsRkVFkZSUxKVLlzh58iRJSUmcOHECo9GoJK0LO1TvR6rnfBETEmspdeKk+Pn27duKzVl22ZEddKs3kZGRTJ06VSm4sm/fPgAl9hwQEEDz5s3x8/OjS5cuuLi44O/vj4ODQ7EiCr1ej7W1NQ0aNCAyMlKxXysrK+Lj47l+/TqtWrWqvBul9KKJBQsWkJ2dfVfjseTeKU6Ya7kvWBphrtlsxs7ODhcXF818a2NjQ1paGtHR0QQEBNzzfqH4XEBAAE8++STW1tbKvtPLL7/MjBkzADnf1nSqWpibnJzMzz//rOmgB3fsr1WrVoqdVfS+d3EddKV/Wf0QthAXFwegrJ1FPllwcDBw789LbW+xsbGcPXuWjz/+mPDwcOU96mKV6s9YCszE69bW1mRmZhIaGspLL73Eu+++S+vWrWVOx32E9DWlr3k/Iexvzpw5HDp0iGvXrim5bMI/OHLkCK1bty40p1EtulV3Ce3WrRt//vknf/31Fzt37lTGSWE/6nFT5ImI4/z222/8/ffffPHFF8yYMYPmzZvTrl075T0yn/j+R8yzjRs3pl27dhw5ckTT7TY+Pp5ffvmFvn37FhhX1fEds9mMp6cnnp6eLFu2jJCQEE6ePMnq1auV/Ul13Ejtn6rPd/78eRYvXoydnR1Tp06ldevW9OjRQzl3aTs8Q/GFNyUSiURy/yB3/iWSaowU6D6YmEwmfH19+emnn5g+fTrR0dGFBjhqgkB36NChuLu7s2PHDvbs2aNJ4FXfyy+//MKFCxc4duwYCxcuVDafZJBS8iCgDh6tWrUKa2trOY6XM2IciY6OBvI3SUSl+7p16wLlK3S5G2Fuly5d+Oqrr4A7c8CuXbukQPcBQ4wBbdq04ddff8VkMinPtXfv3ty8eVOp0Cs29ypboCuu5/r16zRu3Piuz7Fp0yalKraY/wGGDh1K165dy/diJcVSFYkYYjxUj8OAEtj29fXFzs6u3Mc0caxGjRppNjLFNaWnp5OcnKxU15ZUP8TzCgkJ4cqVK3z33XdkZ2eTkJCgJKfZ2dnRqlUrGjZsyKRJk6hduzYuLi5A8euJ6ibQFdd6+fJlJfFe/A2sra1xdXWt9M13ST5iLIyMjCwwdoJWUPPyyy9XiEhCHOeXX34hNjYWyE8gF+cu704TxQl0RXERvV7PZ599RmBgoCKmkEhKI9A1mUxSoHufcvv2bbZv386WLVtISEggOzu7wHtCQ0Mxm820bduW4OBgnnvuOTw9PSvtGgMCAmjSpAmXL19WEi2MRiNpaWnEx8eXKM4tDLWfWdjvrK2tCQoKAu7MD1KYW/MprUBXxH9OnjzJM888o+lIL5LTChPmlnfCmeW4KmIPVlZWdOzYEYD+/fsrv5PjcNVRHYW5AnEeb29vnn32WVJTUzl//rzyexF3TU1N5cCBAwwdOhRbW9tSr/cLE+gK0ZIU5lYdlrGk5ORkUlNTi/1MSQJdk8mkxGrOnDnDhg0bsLKyon///tja2mrGUfFef39//P39adeunVJc4MaNG2RmZvL3338THR3NmTNnlOLHBoNBiUGpr0kdI1L/Xog+xP/FGKkWYIjjiu/mtGnTWLVqlYxvVgMsx0515+3s7GwMBgOnTp1S4uyiY2JgYCC1atWiSZMmtGrVCldXV1q3bo2jo6NS/Er8v0OHDhw4cECTVJ6dnU1ycnKl3y8UL5owm82KnR48eFAKJiqBkoS5Yk1QWmGuwNHRkT59+nDp0iVFlGYwGEhKSuLgwYOaooV3i/pzTZs2ZcKECWRkZNC8eXMpzL1PEHZZ2H6QiCnWqlWL9evX06RJkwp53sePH+eXX37RCHBEAe0+ffpUyN5QUQiBrpWVFevWrSM7O5vhw4ezdOlSQNp7dUSIZUr7ekkIWxP29vfff7NlyxaOHz9OWlqaRqgjvifqvXnxb+FTitcsC8Bdv36dt99+m6VLlxZZ0EZSs5C+pvQ17zfEfOfi4kLr1q25du2aRpSo1+vZtm0b48aNw83NrcjjqOdvo9GIk5MTTzzxBE888QS9e/fm7NmzfPvtt+Tk5Gg+J9bYYhwV42xeXh4RERG888476HQ6xo8fT+fOnenVq5cUNz4gWFlZUbt2bfr27cuRI0cUH1KshXbu3Em/fv0YMGBAsceAfF+4e/fudO/enZ49e7J//35+/PFHJXZk2dFZ+BgitzMvL4+cnBw+/fRTXFxc6Nq1K8OGDaNdu3Z4e3sr55R+pEQikUhAinMlkmqPFOg+eIiFhL+/P2vXrmX69OnExMTUWIFur169qFevHoGBgaxcuRK9Xq+5F7Gwj4iIYOPGjZw5c4YJEybQtWtXfH19NdUHpQDt/kX9fNWbkPf7c1dv1C5evJgNGzbQpEkTXFxcGDdunBy/ywkRMDl58iSApnuJn59fuY+fd9sxVwhzAZYtW4a1tXWJHXStrKwYOXJksUFQSc1BPGO1UFxdQXLWrFl8/PHHXLlyBag6ge6ZM2d47733qFWrFvPmzaN+/fo4OTkpY5k6gC7GtrS0NLZs2cJHH30E5FcZhjub4I8++qgURlYiVVkh3Ww2ExsbW6ADM0Dfvn0rrHutyWTC3t4eBwcHMjMzFb/SaDSSkZHB2bNn70l8Ial49Ho9sbGxrF69mt9//5309HSNsFtsSmdnZ3PgwAEOHDjAL7/8QteuXRkxYgSPPPJImTroqtddlSHQtbKyIiwsjOXLlwP5ayq448s0btxY6QItqXyEMHfUqFHcvn1b0zEX8sez//znP4wZM0Z5rbzn4xMnTvDzzz8D2jkVoG3btoo9lydFCXRFsRuAwYMHS2GupACFCXTNZjP79u3TCHTV4gYp0K3ZmEwmfv/9d37++Wd2796tvK7utCjGS+F7iqS1w4cP89RTTynxwIpGp9Ph7OysxNghP2kuOjqajh07lmtMytKWpW3fP9xtB11hc5UtzC3q2u/ld5KKpahiMCKWCLBw4cIqEeZaEhwczPDhw4mPjycpKUkZM8Wezy+//ELv3r0ZNmzYXY2naoHu0qVLFRGoFOZWDWI8UtumlZUVSUlJJX72bgW669evB1AEuuouu2rUc3SjRo0AaNGiBQA5OTkkJiYSGRnJ0aNHuXXrFkePHiU7O1vpcCW+S4V1ZlYLdgvzBcS/TSaTUqzohx9+kOLcKsZy7FSv10FbkEJ0woE79n3x4kUuXLjAvn37lN83aNAAe3t72rVrR/PmzQkICKBDhw54eHho1uJiHk9ISFCOJ2JWlbW3WZhoQgg+8/LyGDFiBEuWLKmUa3mQUftub775ZrkJc4Ud1a9fH0DxJcVxL168CJTfvNisWTNeffVVpXCSnG9rPjqdjuvXrzNt2jSNfynmOjs7O5599lmaNGkCUG5jl/hOXLlyhXfffZdbt24psQERD6hTpw6PP/64pmOe+hrE98Py9bJSr149JcabmZnJ4sWLAWnv1Q0xl3p4eAD5sSURV7p27Rpwd2tX9VgdHh7Ob7/9puxfi3OIOV7dDVfktonXXVxcyM3NxcbGRilIJ/wLtWj46tWrbNy4kX/84x94eXnd2x9CUi2Qvqb0Ne9nnJycmDBhAj/++KMighQxy4iICNasWcNzzz1XqjileI+YU4VINzw8nL///ruA3aptWXyP1J179Xo969atY8eOHTRv3pypU6cSEBBA48aNlWPI+fv+Q9jFyJEj+eOPPzh69KgSsxHP+tixYwwYMKDE529pt61bt6ZFixbMmTOHL7/8ko0bNyo5KJYF3MS1qLvpZmZm8vvvv3PkyBE8PT2ZNWsWgYGBtG7dWnZ4lkgkEgkgxbkSSY1ACnQfPIRD36BBA7766qsSO+iazWaefvrpaifQFQuXpk2b4u/vT1BQEK+88grp6emANlFT/Hf69GmioqJo3Lgx8+fPp23btjg6OiqViaQt3x9YJqepAzDqTUhLceL9ZAPqxfjSpUuVjpJRUVF8+umnWFtbK4n9krIh5kLRYUxdadLR0RFXV9dyO1dxwlxhv4UJc9Ub6u+//z5AsQLdzZs3k5uby5NPPimFjfcB4tl27twZT09PjQDNYDDQr18/DAYDn3/+OZcuXVI+U5kC3cjISHbs2MHp06fJy8vj+vXrtGzZkunTp+Pr64uLi4umy6PZbGbbtm0cPXqUn376CchPdhe/f+KJJxg4cCBw/xdjqA5UpTAXYN++fRw4cADIt19hCwEBAUDF2IG1tTUNGjSgWbNmSrViyBeEVFW1YUnxpKSk8MMPP/Dzzz9z9uxZzYa20WjEZDIp46TwKXU6HcnJyfz888/8/PPPvPTSS4wcOVJJ3igKIdC1srLiiy++qLIOuikpKWzbto2srKwCXXxcXV2ZOHEiNjY295U/XJPQ6/WsXbuW27dvA/mbxIBmo87d3V35fXmTnp7Onj17iIiIAPK7OYnxLDAwUKmwXt4UJdA1Go1SJCEpFkuBrvi+qAW6RqNRdtC9DzAajSxfvpzffvtNSZAU44SYt9UFBdSiWJEs/MEHHzB48GDGjRunJAZX1LXqdDoaNWpEaGioMo6KWMHp06cZPnx4hZ1fUrVYJn0VljRzt+uS0gp0La9B3QV1+vTplSrMlVRPwsPDmTJlSqEJv2IMffbZZ5k+fbryWlXair29PYMHDyYkJIS//vpLs14T66gff/yRHj164Onpec8C3VdeeYX+/ftLn7OK0Ol0GtsUgtRz586RmZmJg4NDsXZYXgJdNYXZkrALW1tbpcNu9+7dAUhKSsJkMnH8+HEiIyO5cOECZ8+eJSsri9TUVI2PIgQY6qR4tU8r4g+ik5BMRq96IiIiGDVqFBkZGRqxo/q5qotKQr5AW70/qZ6vY2JiMBqNmmKZAQEB+Pr6ao4rfj5z5gwjRoxQ9obU8QKRx1GR8W+1aOLDDz8kNzcXuFPUQNinHDsrFjEOvvLKK/zwww/odDpFXHCvwlw13bt3x8/Pj4SEBGWuBdi7dy+xsbHlkiMibFQIc4XtSmouYq568sknuXXrFo6OjoqQUP37ffv2UbduXXr06FEuRfOFbScmJvLcc89p8pzE7+3t7fnoo49o0qQJGRkZwJ1ivwCenp6Kf2BjY1PotZTVD65Xrx5PP/20FKJXY8Rzr1OnDgB5eXmavLKYmBiio6OpX79+qZ+fsJkNGzawb98+QkJCAG38SpxbvaZxcnLCy8uLwYMH06BBA4KCgjAajaSmpvLnn39y5MgRrl+/rvEhraysyM3N5cCBAwwbNgwvLy9pZzUU6WtKX/N+x2w206pVK4YPH87333+vvCbs7+zZs+Tl5d2zMPy1117j77//Vv6tjoeKc6mLG4g4gTovICMjg9DQUMLCwnBycmLWrFm0aNGC9u3ba4p8yHyj+wPxHB0cHGjRogVHjx7VFNAwmUxs3bqV0aNHExQUdFfHFj6mTqcjJiZG8T8h3zbFmGpZSF09pmdmZpKens7bb7+Np6cngwcPpl+/frRp0wZbW1vlmNIuJRKJ5MFDinMlkmpEUYkhIAW6DyJiUeHv78+6deuKFehu27YNoNoJdNWLC3t7e/r06cOWLVv48ssvOXbsGDExMZqFi7Dj5ORkkpOTmT59OkOGDKFLly6MHj1aVhi6jxDPMiUlhRs3bnD58mUuXbpEVlYW6enpeHp64urqSlBQEEFBQdStWxcPD4/7JqhiKcwVAk2xKZadnU2XLl2q8ArvL9TV9S0rlmZlZZGbm6sJjtwrYpMG4MUXXyx1x1z1BrywjdIIdL///nsee+yxCk1allQeIrjs4OBASkqKEvALDQ0lNTWVHj16YDab+eKLLwgLCwMqT6Cbnp7Orl272LFjhxJ4DwsLIywsjF27dhEYGEjLli1xdHTE3d2dixcvEhERwblz55RjCEEZ3PmujBgxgn/+85/Kv6WfWrEUJ8y1sbEhLy+vQoW50dHRbN26Fcjf5BYbK927d+fRRx8Fyq/yuSWiGIPlawBHjx7lySeflP5lNSI+Pp733nuPw4cPKx15xJim3pgTiM1nsSkiNk7ee+89oqKimDhxIs2aNSv2nCKxAqgSga7ZbOb48eP8+eefyhpffS9eXl60bNkSkF3Mqgo7OzuGDh1KTk4OO3fuVAobCJsUCdzPPfdcuXfPFT7goUOH+PrrrzXnFr6ln58f8+fPx87OrsLWSkKga2VlxZo1a8jOzmb48OEsXboUkPO5RLteUf+sTuwUAgmgQAfdogS6NX39/yBgMBh4/fXX+f3338nMzAS03UbUnSMsq4+LOVyn05GUlMSOHTtITU1l7ty5mgr45Ynw+URHenXypdls1hQVlNw/WBYINBqN3Lp1CycnJ/R6PQaDgdq1axcqkijNOFQaga4l4jvy9NNP89xzzymvyXXJg8vnn39OUlIS9vb2mkRFuDMmubm54eHhQWpqKh4eHlVuK2azGS8vL1588UVCQ0PJzMxU4lnqJOKEhIR76hTl6OhI//79qV+/Ph07dgSkz1kVmEwmFi9eTFJSkkY0npaWhrW1danssCIEuoWdA/LnefVnfHx8AJQigXBnXyAlJYXDhw+TmJjIgQMHSE5O5ubNm2RlZWm6VovrE76CuGaZjF716PV6Nm/ejE6no169esTExAD5/p2I51gWUFUXfVN3aIJ8QY46LqPT6bh69SrXrl3TCCAEBw8eZPLkyQQGBhIcHEytWrVo27YtdnZ2uLi4KMeF4vNByoIQTVhZWbF48WIef/xxWdSgkjl27JhSnBLybauswly4E7usVasWsbGxig2Ljo1hYWH4+fmV+TmXphCCpGZhZWWFvb09S5Ys4emnnyY7O1szl4u5d8+ePcpY2b179zIJdIVtp6enM23aNK5fv15AxGZlZUWPHj04fvw4a9eu5fTp0+j1elJSUjCbzUpRFw8PDwICAnB3d6dLly74+vri7++Pr69vAf/jXrrrSiF6zcDPzw8XFxeysrKA/P2gsLAw/vzzT6ZMmVKsMFG8npGRQXR0NB999BH79+8v4CuoC8ip/cDAwECee+45GjVqpBQaVtOzZ08OHTrErl272LZtW4HYfWxsLJ9//jmrV6+WdlYDkb5mPtLXvH8R9tKpUydlH1ydm3nw4EG+++47Jk+eXKp5Vm0Pr732Gjt27ADyG7WIMXbs2LHExcVx6dIlEhISND6uWoSpzovPzMzk9u3bvPPOO/j6+vLwww8zYcIEGjRoIDuU34fY2Ngwe/ZsfvvtN2JiYjQ2otfr2bhxI6+99lqpG5qobfPVV19VxOjqXE6AunXrEhMTo4zlYqwHbTEGMYYnJiby1VdfsWvXLho1asSsWbNo3LgxDRo0kGsqiUQieQCxMlv2YZdIJFWCSLpITU3F2dkZW1vbQhevYhEdFhZWQKAL+Yt4uLPZOH36dGbOnAnIxXBNRdhGVFRUAYEuaIODo0ePrnYCXTXCBlNSUjhz5gzr1q3j8OHDyu8Luy+xyH7sscfo2bMnffv21SyoZZJmzUE8f7G5smHDBkJDQzlz5kyxn7O1taVly5Z07dqVESNG4Ovri52dXY1NVitKmOvg4EBOTg7u7u5s2rSpRBGJpPSYTCaysrIYMGAASUlJmjmzYcOGfPfdd0rQujx4+umn+fPPP5UuoZYb8EUJcwXqBPVXXnmFH3/8UQnAq4tx2NjY8Msvv+Dv719u1y6pOsQYKToui01xOzs7tm7dSlBQENnZ2ezbt4+VK1cSFhamSSwW/l9AQAATJ05k0qRJmuOWhe+++47FixdruuRBwaqWlqi7Warn9CFDhigC9Jo6ltckhA1ERkYyYcIEjTBXiMlq1arFqlWrCAoKKvc1g8Fg4Pvvv+eDDz4gLS1Nszno5eXFv/71L/r3719htiB8xXfffZd169Yp3y3x/1atWvHdd9+V+3kl90ZMTAwvvvgiZ86c0VQgVYeuihL3CCw3SYYNG8acOXMKTZywJDk5mV27dhUQ6IJ2zBs1alS5CHTF9+369ev84x//4NKlS5pqrGK8/b//+z9NErGk6jhz5gwbNmzg119/VZImxHNS290777yjVBIvy7gqxqvQ0FCeeuopsrKyNNX3TSYTbm5uvPbaawwfPrxS5tXY2FjWr19PRkYG77zzDiDjTZLC1zWWdqGO34SEhChdKiA/IdTKykopHALIDro1AIPBwNNPP83+/fsLdJMT/xWGOnlNrJnFuObq6sqYMWOYNm0atWvXrrBr3717N88//7xGVGkymWjSpAmbNm266y6PkuqHZdz4zJkznDt3joMHD5KWlqZJFLe2tsbf3x9HR0d69OhBw4YNad++Pa6urnd1TvV4tXHjRkWgC/kCL8j3aWvXrs2GDRto1KiRUqRA8mAzf/58/vjjD8Wns+zc6efnx9ixYxk7dmy1SDwUNv/FF1/w6aefaoQXYg01evRo3n77bSVhuaznklQuZrNZU4hSzPU6nY4dO3aUaq0tEM9QJNMKgS7kFyEUNtS6dWumTp16VwLd0tyLSIy3XDfp9XpMJhOXLl0iMjKS69evc/ToUdLS0pSOVmqGDh0qk9GrCaL4amZmJqdOneLWrVucPHmSGzdukJqayrVr17CxsSEnJ0fzOXUxSbXtFea/WtqeeI+lH6nG29sbGxsb2rRpg7+/P02aNKF169bY2dnh7+9fqM2oxer3avPp6emcPn2aHj16ANI+K5Ps7Gx++uknNm/erOzfiPVtWYS54hmuWbOGDz74oMB+i+zgLSkOYT+HDh1i+vTpAMr+kLojHUCvXr2YMmWKUljtbschYdtpaWlMnDhRGX9FsVbI92nVImEoPE9Ijfhcw4YNadCgAQEBAXTr1g0fHx+l8FZR9y6pXgg/TMS57ezsSvzM9OnTOXToUKEC2o8//pjHH39cea8YH9W+XlhYGFu2bOHIkSPcuHFD2fdR7zGpfQGAhx9+mN69ezN69GhNHonartQ+ZXh4OOvWrVP2G9Vdfj08PFi5ciWtWrW6p7+ZpGqRvqYW6WtWDRUlurY89jPPPMOePXuA/CYYBoOBTp068e6775aYj6y+tkWLFiliX0th7osvvsisWbNISUkhKSmJTz/9lKtXrxIeHq4cy7KbrroLtdhLMpvNSsfpTZs20ahRo3L6q0iqA2Lc/PDDD/nqq6+wsrLSrIOaNm3K6tWrqVOnTonfi9KKxhcsWMDYsWNZtWoVBw8e5OLFi8ox1KJ1tW8rbFJdmK5OnTqMHz+ewMBApeCgRCKRSB4MpDhXIqkGqMWXs2bNol27dvz73/8uUnx2twLdadOmMWvWLEAuimsq95NA15LPP/+cY8eOERISorymDoaCtupc7dq1GTduHK1bt6Zr167KZ6RtV2+EDd+6dYutW7eyd+9ezpw5o9mAEfYsEjyE+FC9MdOiRQvatm3Ls88+i4eHRxXdzb1TkjDXzc2NzZs307Rp0yq8yvsPo9FITk4OgwYNIj4+XlNp0t7eng0bNtC6detyOZdaXKOu0l9aYa76msXnJ0+eTGhoqKYioEjG+/7773F2dpbixvuIZcuWsWrVKiB/M3rJkiUMHz4cgJycHP76669KE+jGxsYyZ84crl69ir29PXl5eUqw0bIbGmjHcMukOjs7O8aNG6d0yLjbJBTJ3aPumDtp0iSly4m6sqOzszPbt2+nUaNG6PX6Um2E3825z5w5wz/+8Q9iY2MVH0/M7+3ateOjjz7C19e3yOOUVyGWb775hn/961+KXQo7HTx4MMuWLSvz8SVlJyoqijlz5nD9+nXNMxfjiDpRqDDUm3Ti38LWJ0+ezLPPPoubm1uJ11GUQNdS9FtWga64p4yMDGbNmsWpU6eUDXHIH9PHjx/PK6+8goODwz2dR1I+qMeiogS66o1qKLtAV9hIWFgYkyZNIjMzUxMHEOuogQMH8txzz1G/fv1yvOPiSUlJUbpLyLW4RPh0RqORUaNGMWjQIObMmQPcvUBXjLfqJE0p0K2+GAwGZsyYwdGjR5XnZ5lEGxwcjJeXF82bN8dkMpGQkMCJEydITU0lNzcX0IqzRVzbx8eHBQsWMHLkyAorPBAXF8fQoUPJzs7WJAt7e3uzY8eOYn1USc3i22+/5dSpU/zvf//TdCspCmGTHTp0oHnz5kyfPh0vLy9cXFxKtT4pSaCrTuCxsbGhVatWvPzyy7Rr164c7lZSU1HHSObOnctff/2ljH2WeyV+fn6MHz+e0aNHVwuBLsDhw4d5+umnycrKKpBA2bFjRzZt2lTFVygpC6tXr2bZsmWa/WcoKIYoDVUt0C3putSIOOjp06dJSkoiJCSEa9eu4efnp8SSpI9a9RTnK+bk5HD16lWysrI4ceIEN2/eJDIyksuXL6PX60lPT9e8X8R91AUS1HN3YYXiLGNYwiZE4rAae3t7bG1tCQ4Oxt3dncDAQAIDA/Hw8KBFixbY2toWiM2qC9nc7XdA2mflIZ5Nbm4uP/zwA5s3b+bSpUsAZRLmqjlw4ICS86PeF2ratCkrV66sMbkhksqnKIGuZQdduHeBbnHCXIHlsYQ42FJwJrAcX9UFvsRr1tbWtG3bFm9vb/r160fdunVp2rRpjcwjeRBQFyt99tlnmTVrFgMHDsTe3r7Y93/99de8//77GAwGjfjWYDDg6OjIa6+9xhNPPFFgr2bfvn2cP3+eVatWKf6mWlgjEMeytrbGy8uLUaNGMXPmTCUHo7RxqSNHjvDf//6Xq1evFuieumjRIiZPnnxPfzdJ1SJ9zaKRvmblIP7Ot27dwt7eHhcXlwoT6G7ZskUpyqvei7S3t2fFihU88sgjRdpJacWPQpgrXhPfi6tXr/LHH3+wfft2UlJSyMnJ0RQrFt8NcX7hQ5hMJvr168fy5cvL7e8hKR3imVd0Y6UjR44wdepUAM35TCYTEyZM4K233irVdULpROOCyMhITp8+zerVq0lISCAlJUXjFxTmw6rzkOBOEcb58+eX8S8gkUgkkpqEFOdKHigKcwSruuumWnQ5YcIEkpKS8PDwYPDgwSxcuFAKdCUK95tAV23XiYmJHDp0SElUSktLU4JK6qCUWJCLCnMDBw6kcePGjBkzBicnJ00nA2nn1QfxrGNjY3nttdc4d+4cGRkZSqKFOlEH8oOLhVU+EzRs2JA33niD1q1bl0pkUR2QwtyqZ8qUKRw9elQTuNPpdKxatYpu3bqVyzkMBgOnT59mxYoVHDx4EGtra3Q6HXl5eaUW5gqESO7ll19Wuueqq7j27t2blStXlst1S6oeMeb99NNPvPTSS5pq0lOnTuXVV19V3lNeAt3SzJUZGRkcPXqUzz//nLNnzyqvW4qDCtuwUfsmDz30EAMGDFCEGrJjbuURHx/PmDFjSEhI0Ahz4c6z8/T0ZP78+eXabVmMcTdv3mTq1KlEREQU6PRob2/Pt99+S1BQUAF7KGqNpg60l/YaxWd+/fVX/vGPfyh+pMlk0nQ5qep14YNOZGQkU6ZM4ebNm0WucVxcXGjUqBEPPfQQvr6+6PV6wsLCSE5O1oxPRQkln3/+eebNm1eq60lOTmbnzp18+eWXFdJBV3xH8vLymD59OseOHVNsUy3WaNWqFQsWLNAUJZJUHSUJdAsTcd+rQFeMi5cuXWLSpElkZGRoxnAxFjZr1oy33nqryqruyrGzclH7XOp4SVWijtFMmzaNo0ePAvD666/z5JNPAlKge7+Sl5fHlClTOHnypFJcQiTLAnTq1InevXszefLkAklfycnJ/Pzzz+zevZvQ0FBAO3+LGFCTJk349ttvcXV1rZDxJi0tjQEDBpCSkqLpvgLw1VdfyYrmNZzs7GwuXLjAhg0b2L17txJTUa9LoPAkRGHL4rV69erRoUMHJk2aRJs2bZRzFGeXpRHoivncxsaGli1b8tprr5Vb8ThJzUFtKzVdoPvGG2/w3XffFYgRmc1mNm3aJMfVGoy64Jl6zfPmm28yceLEe07irm4C3cKusazvkVQNxcWe8/LySE9PV0QUiYmJnD59mhs3bnD79m1u3rypEaqp7V6dfCt+thSaqT+j3gdVJ49bYm1tjb+/P7a2trRu3ZrGjRvTqFEjWrdujU6nw8fHp8h7lXZYfVALdH/88Uc+/vhjatWqxbfffltmYS7c2auZPXs2p06dUmxM2NyHH37IoEGDyutWJPchxQl0LefeuxXoltQxt7DcD8uCv5aitKIEauJ1MU4XlvLatGlT6tSpQ4sWLejcuTPe3t40atRIFr+sYtTFhCdPnkxCQgK+vr4sXLiQvn37FinQhTuFpCdNmkRcXJxm/0idF9m1a1fq1atHYGAgERERREdHs3//fuXclmJx9VxtMpmwtbVlzJgx9OrVi169et3zff73v/9l06ZNBbr89u/fn08++UTuj98nSF9TUlmox84ZM2YQHBzMkiVLcHV1rZBnk56ezpgxY4iIiFDmaDGOtWrVii+++KLQGNS9CHPVAkf1fVy8eJFr166xfPlybt26xe3btwvkQ4n9CMt8D2mvlYfaNvfv38+QIUMqtDjK4sWL2bBhA6D1CZs3b86yZcto2rRpoT7rvdimZUODuLg4rl69yldffcW5c+dIS0sDChb8EN8XYZtPPPEEH3zwQYX8PSQSiURSfZHiXMl9TVEOt6UArDSfqQjUYsuJEyeSmJiobGi6uLgwfPhwXn755SK7V5VFoCsDPjWTogS6ltUB4Y5Ad968edSrV6+Kr7poLBdFUVFRREZG8tVXX3Hjxg2ioqKU34lgqfh+qgOndevWxc/Pj2HDhtGgQQMefvhhmSRcTVDb7MyZM4mMjATyF8qiW4U6+KgW7KqFEOrNFoPBgJeXFxMnTmTQoEE0adIEqL7J4VKYW7UIu3jmmWfYs2ePJkBtNBqZMmUKr7zyimJfZcVoNHLq1CmWL1/OoUOHAOjWrRtr164F7q5baG5uLkOHDiUiIqLAhuP48eN58803AWSA8T7i2rVrjBs3joyMDCXgPXDgQD788EPNGGcp0FXbQGkEuuJnvV7Pzz//TI8ePfD29i7yunJzc3nnnXc4e/YsFy9eVF4X87P47qirWwpbfeqpp+jRo4eShCn90MrlypUrvPDCC0RFRZGdnV3oJp6Pjw/Tp09n5syZQNnWRMIGUlNTmThxIuHh4QU2vXU6HS+99BItWrTg6tWrHDlyhJycHCUJXqfT4efnh5eXFx4eHrRv3x5nZ2f8/f015xK2VJr5XxRDSk1NxWAwyI2aaoS6s3NRa5tBgwbRp08fBgwYoJlDzWYzubm5fPPNN+zcuZOwsDBNB0fQimk///xzHn300VJdV1EC3bJ20BXXZzabmTJlCqGhoRphrpjvXV1def7555UxXFI9qIwOukUJc0WynLorwPvvv0+/fv0q9qYlVcbdrG+rYi2sFuZOmTKFY8eOYW9vr3RDfeONN5QxrLDuKMUJdMUYXphAt7i4rqRyUAtzhQ2ohbnz5s2jf//+BAcHAyhznBi/xDwaGRnJRx99xG+//QZoY0DivZMmTeL1118v9+dtMBgU2xXd69UdTdT2K6l5JCcns3nzZn7//XcuXbpUIIGrqKRvy5/VsUu4s/597rnn6NWrF4GBgcrxiprbSyPQBRT/Ugp0Hyzi4+Px9PTEzs5OMy/WRIGusPWtW7fy5ptvasZUYev/93//x4ABA6rsGiX3hrDNY8eOMXv2bPLy8pR9OqPRyODBg1m2bNk9Cc5qgkDXEnVMs7ruRUmKpjRF/5KTk7lw4QJpaWkcO3aM+Ph44uLiuHHjBiaTSVnrgLa4jDg+FPQn1OcW/xc/qwuyqn0OgaurK3Z2drRp0wYfHx+l+5mTkxPNmjXD1ta23P9OkrKhLrB64MABevXqpRRbK4swV/Dmm2+ydevWAmKJXr16sWzZMpycnGScW1IkFSHQLaljrnq8sxzj1L+H/JiAOi4kzi3eq/63+jV1kSXLXBOj0chrr73GlClTyvDXk5QFtYBn4sSJ3Lp1S8mT8fb25vXXX6dPnz6FCnTFZ//++2+effZZTSdF0O7/FIZlwwDxmji2o6MjtWvX5s0336RNmza4uLhoznu393jmzBlmz55NZmampuhX48aN2blzp9wfv4+RvqakvBG2FBkZyYQJE7h16xZubm706dOHRYsWlbtAV6x3t2zZwrvvvktubq5m/vf29uadd96hV69emrXxvYgfS9NYIDk5mQMHDvDHH3/w22+/KXYtit5IYW7VobbN4cOHk5WVxYsvvsiYMWNwd3evkHPu2rWLV199VbEndaGiovy8e+mYW5Id7du3j8OHD7NlyxaMRiN5eXmanLnCmgRI25RIJJIHCynOldyXWDo0x48fJyYmhhMnThAdHa0sOu3t7XnooYd46KGHCA4Opnbt2pV2jYUJc21tbTEajUrA0dbWloEDB/LOO+8U6aDdjUC3du3aTJ06VUm6l9RM7rcOulAwmG8ymbhy5Qr79u3j999/59q1a2RlZQH5iUtqsa5lsLVTp07Y2NgwZ84c2WWqChFjcXR0NJMmTSI+Pl6zIFU/Nz8/P1xdXXF0dMTR0ZEbN26QlZWlVJuCwpM0nZ2d6du3L08++aSSuFbdkiKkMLfqEba4YsUKPv300wIdP9u2bcs333xTruc0Go2cPn2at99+G3t7e7Zu3QqUXpgr7Dg2NpaxY8cqYjK4Y//ifnr27Fmu1y2peqKjo5kwYQKJiYnKhkmdOnX49ttv8fX11bz3XjvoAoowd+bMmYSGhvLMM88wadKkQpM51ePYtWvX2Lt3L3/++Sc3btwgOTm5wPtdXV2pX78+jz32GJ07d9Z0RpGBx6qhtMV8yirQLSkRQx1+aNiwodJRt7iNc7jTMdVoNNK+fXv8/f3p1KkTwcHBeHh4FJmAXNgGzuDBg0lJSZHB8GqEOhlD3RVU7SvOmDGDGTNmKJWb1eJba2trxZ5PnDjBTz/9xHfffVdkJ9NHHnmEt956q4DQuyjKW6BbkjBXjPtms5nZs2fzwgsvANXPv33QqcgOusV1zLU85tKlSxk+fHiBa5LUfCxtJCYmhpSUFE6fPk1cXBzp6emYzWbq16+Pj48PjzzyCLa2tpo5saJtojBhbmEizRdeeIHZs2cXeozSCHStrKyUTuNWVlasW7dOFmSrYgoT5up0OkVE/c477zB06FAleaskXyslJYXXX3+dPXv2ANrOD2azmS5durB69eoKSwZ7/fXX2bZtW4FOgE8//TTPPfectLUaSHx8PEuWLOHw4cOkpqYWm4grBA2WRVIE6uev9k+7d+/OwIEDGT16NFB8ASop0JUURmRkJIMGDWLUqFG8/fbbBX5fnEBXXcC0Ogl0AW7evMno0aNJSkpSXhNz+syZM3nppZfkGryGEhMTw9ChQ8nMzATy5+vu3buzZs2aez5uTRToSu5Pitu3uX37NgkJCWRkZHD69GkuXbqkJPUCBQp0iXGvqM5+6s9BQTFFSd3PbGxssLW1pWnTpjg4OODj48NTTz1FUFBQuf09JIVzt/t7gvIoVirGy9OnT/PUU09x+/ZtxTbMZjN169blm2++wdfXV46PDzB30/W9MIEuaAumlSTQLWk/yFKQ6+HhgaenJ82aNSMnJweTyUReXh4REREYDAaNDymuxVJUVpQoTaAusmRlZVWgUKuk8ilMmCvi3WL+dHNz47XXXmPIkCFFjpe5ubls2LCBTz/9FL1eX6A7s7rIeWFrfHUBdDHXBgYG0q9fP4YPH46/v3+5jJ9RUVGMHDmS27dvA/l+Qt26ddm1a1eRzVkk9zfS15TcLeqx07LAtaOjI48//niFCHQBzp07x1NPPcWtW7cK5HmILuCW1wllE+YWdf+CX375hUM2JUcAAQAASURBVLNnz7Jp0yby8vIwm80MGzaMd999t9THlJQPhc3rggULFjBu3LgKE+jOmjWLAwcOFIjX161bly+//JJmzZoVuE4oH2Gu5Zru2LFjnDhxgs2bN3Pz5k3Ne2UukkQikTzYlL00n0RSDbG2tubWrVvs3buXvXv3cvDgQWUzz5Lff/8duLOp17ZtW+bOnYurq2uFbuwVJcwVyZYi+Gk0GgkODi7WQRML6KCgIBYtWlQg6V4k+AIkJiby/vvv07RpU3r16lXu9yWpHESgxd/fn3Xr1hUQ6IogjMFgYNu2bQDVXqBrKcy1trZWKrKNHDmSW7dusWvXLi5cuEBoaCi5ubnKBoGwbyFut7GxITQ0FGtraxYtWlQl9yNBGXvi4+OZP39+ocJcZ2dn2rdvz+DBg+nUqRO1atXCxsYGa2tr4uLiyMrK4quvvuLSpUucOXNGU2VK/JyZmcnu3btJSUlh7ty5dOjQoVptOEphbvVAjBMisVEtTLO2tubcuXP8/PPPDBo0qNzOqdPpaNOmDR988IESALqbytji+nbu3ElSUlKBji1WVlYVFtCSVC3169enZcuW7N27VxlLhV9oiYODA7179wZQBLqgrQJ87do1Nm/eDMCkSZOU74Ner2fevHmEhoYCsGLFCqysrJg4cWKBZE4x9lpbWxMQEEBAQADjx48nKyuLa9eukZCQgLW1NTqdDmdnZ+rXr4+/v3+hG4wy8Fj5lGatYDKZSEpKYt26dQDMnDlTeb20z6ykRAzIT4wwmUxER0cr1yeS0tVJ8+rzZ2dnYzQaOXToECEhIXzzzTfY2dnh7+9P69atqVevHr169cLJyYmAgADl85A/F3t5eeHk5ETPnj3lRk01obBkDEvx4fPPP8+8efM0nxNzqWVF3vbt2+Pp6YlOp+Obb75RquQDih2ePXuW8PBw/P39S/X8vby8eOKJJwAKCHTVnf/Ehk5xAt3ihLnqjXCz2czYsWOlMLcao05kaN26tVKN17KDrnptLtamo0aNKnJ8Laljrvq78Z///EcKc+9jhG2Iee/XX38lMTFRUzlfja+vLz4+PsycOZPWrVtTv359Zd1QEd0YihPmimrVwnbPnTtX5HHU3yWR6Al3Kk+LazcajRgMBuzs7NDr9UybNo2tW7dK0VoVUZIw95NPPqF///6az5Q013p6ejJr1iwiIyO5cuWK8rqwjyNHjnDw4MFyj2UL2/P29lbOJ14HCA0NVXxm2dWk5hATE8MLL7zA6dOnNQm66m6jZrNZk3ioLhQknr+6EIx4Te37hYSEcObMGW7cuMGLL75YrI2o5/3JkycDKAJd8bq4VoPBwLlz51i8eLEU6N7HiMRKg8HAzZs3SU1NxcPDQ+PTCVuzsbFh5cqVGoGuWqRgbW1NbGysUnSwKgW6ZrMZe3t7nJ2dlVim+vuWkJAAyLhQTcRkMuHi4oKLiwuZmZmaJMjY2FiysrJwdHS8pzWJGCNdXV2VNZMQ6Ar7ET7hmTNnWL9+PYAU6ErKncL2bcQ87eLigqurKwBt2rQhNDSUXbt2kZeXp6yBREJw/fr1CQ8P59atWwV8DPW6XoyRlmIJs9msxLDUgiO1iEIUej9//jwmk4lhw4ZJsUQlIGI8AGvXrqV79+4EBgYW+l7Lcak81hNi/vTz88PFxYXU1FRNl9G4uDjWrVvHyy+/LOfaBwgxTmVkZODi4lKqPR3xnq5duyq5Rnl5eZocNTHWiAJqcKdAkXq8Km4/yDLG36FDB1q1asXEiRNxdnbG29tbM+4lJiZiNpu5dOkSUVFR3Lhxg2PHjpGenk5MTIxGfCsEv4V151XveYnxVIojqpaihLki3i1IT08nJyen2PHS3t6eIUOGkJuby6pVq8jNzdUUfBXrDrWIrLA1FtyJRXXv3p3nn38eb29vHBwcys2vdHNzw93dnYyMDMV2jUajco9SnPtgIn1Nyd1ibW1NVFQU48ePJyUlBTs7OyUGn52dze7duwEqRKDbsmVLJkyYwPLlyxV7EuPj3r17+e233+jfv79m/2nRokXlJswV9w/5+6YDBw5k4MCBDBo0iJ07d2Jtbc3LL798V8eUlB3hZ924cYMpU6Yo87oYpz788EOAchfoCjsYP348Z8+e5fbt28p4ZmVlRXp6OufPn6dZs2bKa+XdMVfYuhg3O3bsSMeOHRk1ahTbt28nNDSUv//+myFDhkjfUyKRSB5wpDhXct+RnJxMWFgY//nPf4iPjycrK0txctSb1pBfGU0kPZw5c4aTJ0/yxBNPMHjwYHx8fMrdSSpJmCu6QcAdB1AkeRYXCCpJoCuCjyaTiSFDhkhh7n1AcQJdg8FQIwW6AnXVd2tra7y8vPDx8aF58+ZYWVlx5swZoqKiCAkJISwsjJs3b5KcnKwEiPR6PW5ubmzZskURZ0gqHysrK27fvs2HH35IWFiYYrNizPX09OT111+nffv21K1bV/mcCFCL19544w0iIiLYunUrGzduLFD5z9ramtzcXEJDQ8nJyWHu3LmapN6qRApzqx/NmzenYcOGREVFAfmbMgaDgVOnTpWrOBfujNVCmGsymUotzBXXZmVlxaVLlzRdAoQv0LNnT9q0aVOu1yupesRzF4FKEei+desWoaGhDBs2rIBPeDcCXZPJpCQDz5s3j5CQEKUTc15eHsuXL0ev1zN//vwCm4Nifhbnd3JywsXFhdq1axd5PzLYWD0obTGfsgh0S0rEUF+H+Nlyo9zyZ7HhqK5wLT5rY2ODXq/n2rVrXLt2DUC57k6dOlG7dm26detGQEAA/v7+ynz8yiuv8NhjjynHl/ZZdRSVjKFOkHj55ZeZMWNGicdSP8fGjRszatQoEhIS+OOPPzSJOzqdjrS0NDZu3Ei3bt1K3YGvPAS6pRHmCr9k2LBh/Pvf/waknVZnSiPQtbSR4gS6xXXMBW23vrfffpsxY8YA0kbuR3JycoiLi+Pdd9/l3Llzmq4h6oJXgBLjjI+PJz4+ngULFtCzZ0/69evH2LFjNevw8qI4Ya660IDRaGTUqFG88847QNFxzdIIdNXCniZNmhSZAC2pWEoS5i5fvpx+/frd07GDg4Np0aIFV65cUcY7dTJvWlpaed4KkJ8w36ZNG3Q6nZJcLGwtNTX1rtbwkqonKiqKWbNmERERoUkaU4tzTSYTHh4eODk50a5dO03SbGpqKteuXSMiIoLc3NwC3ZcApfiLyWQiIyOD1atXk5CQwBtvvKEkUhaGFOhKBJGRkUrHEysrK/bt28f+/fsZOnRogXmyOIGusKnqJNC1srLC09NTib1adjSTAsqai7W1Ne7u7jRt2lQRWYskyJiYGOLi4sq0FycFupLqilhrW9pX8+bNcXZ2JiUlReMv1KpVizVr1nDz5k2uX79OTEwMoaGhpKWlcf78eW7fvq34zpC/RrLs4qf+vfi/iJmKeIP4bgwdOlQpQii/CxWHel395ptvsnXrVjp37sxbb71VqbkIZrOZWrVq8eSTT7J06VLFXsT/r1y5ohS3kvZw/6MWPb7yyisMHjyYJ598slwEuuq5tzCBrl6vx87OrshCreoY/9ixY5k3bx7e3t6KbaqxsrJS9hl9fX2V1/Py8tDr9Rw5coTExET++usvYmNjiYuLIz09vdAOkupxU4yRUhxRdRTXMRe08e5XX32V8ePHl3jMOnXqMG7cODw9PXnvvfeUQobqwmoin8KycYCwz8mTJ/Pwww/T9/+xd97RUVVdH35m0klISIHQQmihJhAQkKZ0pSggvRcVEHvDgoov9gpiA2wogp+IAoogAgoSeg2EEkhIIIQU0klPpnx/sM7NvZOeTApwnrVchiQz905mzz777LN/ew8apHlua/nMlJQUsrOzNc+ntntpixKBjDUlpbF27VpSUlKUugiR7zSbzVUm0BXvc9++fdmwYYMyEVTYS35+PidOnOCee+5R/K41J+Zaoj7bMpvN+Pv74+fnh4ODQ4WfU1JxdDodqampTJw4kbS0NJycnJSBaSL+qwqBrrCDjh074ubmRlpamrLO63Q6MjMz+fbbbxkyZAjOzs7K46rCNi0HUHl6evLwww8zd+5cdu/erdTuSduUSCSS2xdZXSC5pThy5Ah//vknf/75J5mZmdja2moCInWHNEApdhCbF71eT0hICLGxsZw+fZonnniCZs2aWe3+yiLMrWgAWFzRvRAsim5WckrUrUNFJujOnz+fJk2a1PCdlw1hn5ZioICAADp16sSIESMwmUxERkZy6dIlkpOTCQ4OJiMjg/nz50thbg0i/EtQUJAykVEc4hgMBjw9PVm+fLmmuEw9zUL9PXt7e/z8/HjllVdo3rw5a9as4dKlS8rP4cYGOicnhyNHjtC3b99aIc6Vwtzaibe3N23btlUKNaGgw+7q1avp27cvd999d5Vcu7xrrk6n4+TJk/z999+arpbivn18fACZBL/VEO/nnXfeyR9//KHYJ0BMTAxQ9OFgWQW6v/zyCyaTiT179ijCXMuD8LZt25bYtVf92SkNGWvWHqpSoFuaMFddiCtiAb1er+naqxb1qIW76vuHgqYKQshpOV1X2LfJZOK3335Dp9PRqlUrXF1defXVV6Uwt5ZQVDGG2j7ghpB61qxZQPnXuvbt2zN8+HB27dpFfn6+ptOzTqcjLi6OlJSUEpsLWFKSQFe97ypKoCsKm0oT5loedEs7rf2URaArpn4WJ9AV63xxE3NBW9D2xhtvMGHCBEDayK1IZGQk27ZtY+PGjURFRWmaDYo8j7pYRr1HED50z549HD58mIiICF566aVqE+aKBoji6wceeEAR5orHFUdpAl0xNdff35+1a9fi4OBQ6nNKrEtVCnPNZjOOjo7MmDGDrVu3aorIBOfOnWPkyJFVsv91dXXVNIiBG3736tWrREVFWfVsQFJ1REVFMWPGDOLi4jRF4er4sn79+nTq1EkpDFcXfgvy8vKIi4tj37597Nmzh6CgoEJnN5ZTRf744w+ysrJYuHBhiY0xpUBXEh0dzbhx47h+/bpmqsT69evp1asX9evXL/SYm0mgq/bRlk2SzWYzeXl51Xo/Eush3ltXV1fNNDobGxtsbW1JT0+v9DWkQFdSFiwnf9UEwhbt7e01vk6v1xMbG0tCQgLNmjVTYshJkyah1+u5evUqGRkZnD9/ntOnTxMXF6fkZlNSUoCCOhZ1rlbdtFX9+ZOis+pDfd772muvsX79evR6PYcPH2bx4sXVKtAV9ta2bVucnZ3JzMzUNPzbt28fGzduZOLEidIn3uKIz3xUVJQyUS8jIwMHBwfGjx9f5QJde3t7UlJSmDZtWiFhrnoPNmvWLF566SXNdcvSuMVoNGJnZ4ednR0DBw4EYPz48RiNRi5cuEBkZCQXLlzg0KFDpKSkEBUVpZkgCcjauBqmJGGuZW3kSy+9xMyZMzWPK4n69eszdepUOnfuzJIlS7h06RIxMTGa3I7Ya8GNvKSPjw8DBgxgwIAB9OrVS/k9azc1BIiNjSUlJUU55xTnoW3atMHV1dWq15JYFxlryliztvHEE0+QnZ3N5s2bNTnJqhToCpsLDAzE39+fmJgYTf2u0Wjk+++/5/7776dDhw5VKswt7t6EMFfYrKR6Eed/P/zwA9nZ2UUOkqoKga7ZbKZRo0Y8/vjjvPzyy5o6J1tbWyIjI1m/fr1SX1IdtmnZZEEKcyUSiUQCUpwruYXYvHkzq1atIiwsjPz8fCXYs9w4q/9t2Z1MFLMlJiayefNmPD09WbBggVWSMSUJc4FKCXMFlkX377zzDidOnCA/P18W+d6i3OoCXTWWGxrxmWrVqpVy6DVu3Di5+a4FiL//H3/8QUxMjFIgZDAYcHNz44MPPqBTp06FfLMl4nviIGjq1KmcOnWKyMhIzbVEEnHUqFHMmzevql9eqUhhbu1ErH1jxozh0KFDZGRkFBLUrF+/nlatWtW4jxRT1v7880+NmEOn02E0GmnQoAGTJ0+u0Xu8nRHvSW5uLjqdrkQha3kR/tPHx0cRbYn3//Tp05rrW1IWgW5YWBjLli0jKytL8VPqovqlS5cybNgwq70eSe2iKgS6JQlzoSBWFYJb8fg6depgb2+vdPEVB0pQ0HxD3clXHARa7ulKm66bm5vL+fPnGTRokGbKnowVa47iJuYWJ8wt795V2MHQoUM5cOAA69at00yeN5vNhIeHc/ToUYYPH16ue6+IQNfR0RE7OztMJhMzZ84sVZgrD7pvPsoq0FXbiFqgC1KYK7lBcHAwX3zxBcHBwaSnpyv+wbJphVoAK9ZIKJjmKIrPxD7UsgiyopR1Yq44mH/33XcBFNsvjaIEujqdjj179pCXl0fnzp1ZvXq1FObWAFUpzAWUfa6npyd16tQhNTVVsQcRU4prVUVhnLe3N/Xr1yc5OVmxYYPBgMFg4PLly1KcexOgji+LKwrv378/w4cP5/7779fEhermrTY2NtjY2ChFjpMnT2bDhg3s3buXrVu3Kr5HPL/I/5lMJnbu3EleXh4LFizAz8+v2HuVAt3bF5PJxM8//8z169dxcnIiJydH+Vl4eDjXrl2jfv36RcZ4pQl0xb65pgW6wn8mJSVpvm95FitFlDcfYu1v3749f/31l+KrzGYzWVlZhISEEBgYWOn3Vgp0JUVR1DliTb7POp0OFxcXAgICiI2NVfyw0WgkISGB06dPK+dL6vPqhg0bYmNjQ9u2bRk5ciQAycnJ5ObmcurUKWJiYrh8+TKnTp0iJyeHiIgIZa8FBZ8PETvLHFL1UJQwVz2d8fDhw7z11lu8+OKLtGvXrtruq1evXvTv358tW7ZoJkQaDAb++ecfBg8ejIeHh/SJtyiWoseUlBRsbGwICwvju+++Q6/XK00BS6O8Al2z2UzdunVp2bIl06dPL9SoVZ3HfPDBB3nhhRc091xWiqrPM5vN2NnZ0bFjRzp27AjcaK6Uk5PD4cOHiY+P559//iE6Opo2bdrI2rgapDhhblH57oqeBZlMJvz9/VmyZAlJSUn8+eefxMXFERoaqsSqTZs2pVWrVvj5+dGrVy9cXV0L2ZY1hbliXyYaCKvzB2KyHsj9UG1Dxpoy1qytGI1GnJ2defHFFzGZTGzZsoWsrKxqEeiKGHju3LmcPHmS+Ph45ZxK+LY//viDb7/9li1btgBVL8wtCulLawZ3d3fmzp2Lk5MTy5cv19Q0qr+2tkBX3aioZcuWhIWFaZpkA5w6dQq4UaNRXaJx9b0JpM+USCSS2xtZxSK5JVi7di0ffvihcqAtCi/URb4iGLM8BC4uGOrQoQNjxoypFmGuulCksgGguuh+4cKFPP/88wQEBChFcXLTfOtREYHuo48+WmIn/5uBoj6blpNXJTXHb7/9xu7du5X3xGQyYWdnx+zZs+nevTtQtkSJOGgBWLVqFb///rvyWJEgLKr419odLsuKFObWXsTa1759e1xcXEhLS9OIJeDGQfrx48dp0qRJja2X4rqZmZns27cPQDlcF/GCn58f7u7ugEw4VjdiTY2Ojmbx4sVMnDiRu+++26oCXbPZjI+PDx4eHqSlpSmHIqGhoeTk5ODo6FjsY8si0M3OzlbiRXVR/ZIlSxRhrjwYvHWxpkC3tIm56gP2pk2b0qJFC8aNG0eDBg1o2rQpTk5OJCUlkZqaSnp6OsePHychIYGzZ89y5coVjEYjGRkZmm7X6ntQC5Usmy6pbXv06NG89957yu9J2645iivGsJYwFwoEPjY2Ntx5551K0ZyIGYVdqovhy4MQ6Op0OlauXFmiQNdkMinxqaUwV/hgKcytHQgforaf8lDRCbomk4nx48cTGhrKtGnTpDD3Nmb//v28/PLLXLt2TbMWQ8HaZ7l3EQjfJtZf4VMbNGigmQRRGSojzC3P58lSoKvT6UhNTSUvL08Kc2uIqhbmCmxsbBSRbGpqqub7BoNB2QNVRSzXsGFDvLy8SEhIUL4nPlMxMTFVdl2JdShqCg9o48spU6Ywffp0WrRoARSso+I9VfsU4bOE/xozZgwDBw7k7rvvZuHChcpzinVYvTcRBbivvvoqzZs3L/aepUD39kSv1zNq1CjWrl1Ldna2ZvJoSkoKn332GZ9++mmx+aWSBLpiHa7pCbqiOadowKT+vtlspn379oDMZd6MCN8ofJuI+wRpaWmAdd5bKdCVQGGRRHh4OHFxcYSFhWFvb4+NjQ2dO3fGzc1Nc9ZdHXtlcV8NGjRQrgkF8WNsbGyh34WCz5F6rXd3d0en09GoUSPl97KysjCZTJw7d460tDROnjzJhQsXiI+PJzQ0FIPBwJAhQ2QOqRooSZgrBgXY2NgozQFff/31arkv8Z4PGjSIf//9l/z8fE2u4OjRo1y5cgVPT0/pE29BihM9ivf/ypUrrFixgpycHKZOnVqm5yxJoCumoIm1d8+ePRiNRiIjI4mJidGID4sT5lqrbsPyOUwmE/b29tjb2yt5icmTJyvCIfXfS1J9lDQx15pNWsVaWq9ePerVq8dTTz0F3FhH69Spo9iw5b1VFeqc7MGDBwE0uVqdTqdMgZa+ueaRsaaMNW8GRK6nTp06vPzyywDVJtAV9tSoUSNatGhBfHy84uOEb1u3bh3Z2dlAzQhzJTWLh4eHkte2FOhW9QTdtm3b0r9/f8LCwpT4QsSzW7du5cqVK4SEhADSNiUSiURSM8hKFslNz3fffadsCtVFEZadUXx9ffH09KRFixbY2dmRmZnJ4cOHyc/PJyEhQdnUmEwmWrduzVNPPaVM46wMJQlzLYvWrRUAqovuv/76a2WjLYPKW5fbVaArqb2Eh4dr/I3ZbMbFxYU777yzzCI2dVJU7ettbW01U/JKKv6tzsJdKcyt/ZjNZry9vZk3bx5vvPGGkqiBG340LS2NpUuXEhgYiI+PT40IvcXn5uOPPyYiIkJTYCfiBWsmriRlR9hDTEwM06ZNIy4ujuvXr2NnZ0evXr2sJtDV6XR4e3vTsmVLjh49qnQ9z8zMJCkpqdTJzmqB7vLlyzl//rzm5+riOVFU/9lnnzFkyBDl5/JQ8NbGGgJdUeBQ3MRc9R5n1KhRTJw4kYCAgEKH4XXq1FGmkYkpeXl5eaSmphITE8OxY8dISEhg7969ZGZmKoeOltdRi4LUYqGRI0cqwly5F6pZihNOWKNLuiVi7e7WrRt169YlPT29kG8TzQsq4vM8PDwYMWIEQCGBrvrwaePGjQBERUVx7NgxjTBXPRFaCnOrH0vhS1FFDGrKYidlEeha2shrr71GfHw8P/zwgxTm3sb8999/PPnkk+Tm5irvrfATRqNR8Ruurq7UrVuXNm3aYDAYyMzM5NKlSyQkJBTyqe7u7jz99NNWEeeWJMwVBWbWbJql/iz17t0bFxcX2rdvr6wdUphbfVSXMLcsiD2QtfcposCtbt26AJr12Ww2c+TIESZOnCj3SLWUskzhefTRR5k3bx4ODg5Ayc1a1ainl9erV4/Ro0fTsGFDPvroI8LDw8nJyVHsRT1Bd+/evbz33nssXrwYb2/vYtdtKdC9/TCZTPj5+TF16lRWrVql+BmR84uMjOTChQv4+/sXazc3wwTdXbt2ceHCBU2hs/g8yrOomx+1HYniR6PRyOXLlwHr5RSlQFci3r/Vq1dz/Phxtm3bVmgKt4ODA3q9ngceeICOHTtqpkRWpQ0IHy3O+YQtCr9+8OBBpk2bpghxLBH3qP6ZuF+z2UydOnWAGzktnU6nxNsmk4mIiAgyMzPp3Lmz5l4k1qckYa5Yb+HGnikwMFARTFQH4tp9+vTB29ubS5cuKbGora0tWVlZfPzxx3z22WfUq1ev2u5LUvWUNI1Up9Nhb29PXl4eV65cwcnJqVzPXZ4JuqKxdFkm5lblObul/xNrhMgblXXvJ7EeJQlzLe3EGmdBRa2zYu9vZ2dXaG9dlfYg1vEvv/ySc+fOKX5ZNDCys7OjTZs2gJymVxuQsaaMNW8WxPqsFuhu3bqVzMzMapmg6+npyezZszl48CAGg0HjU3NzczXnq1L8ePtRnEDXslm1NQW6wqYmTZrEf//9x4ULF5Tvi+udOXMGkMJciUQikdQcsppFclPzww8/aMRaokhbdOtxcnLCz8+P0aNHc++99+Lp6al5fFJSEklJSXz++eecPHmS+Ph4GjZsyMyZM+nevXulE4WlTcytCmGuQGx+hDBXJh9vfaRAV1JbiIuLY/PmzZqEN8Dw4cPp0qVLmZ6josJctZ+LjIwkOjqa3r17ayZiVAVSmHtzIGygU6dOtG/fnpCQEE3Ru62tLTExMTz55JOsXr2aunXr1ohAd+fOnRw6dAi48VlQfx4GDhzInXfeWa33I9EKcydPnkx8fDz29vacPHmSTz/9FJ1OR8+ePa0i0BXXEh1RhY2mpqZy9OjRUsW5cMP39O3bF3t7ez755BMlKSnsSH24NGbMGEWYKwUPtw+VFejq9foyTcydPn26UkgJhfc5apsU1xT236BBAwIDAwFISUkB4MCBA0RFRXH48GHCwsLIyMjAYDAUEghJwWPtoizCCWsJcwXCHvPy8hThjRBPAOTm5gIVF/mUJNBV77uEQFcKc2sH4m8s/s4JCQlERUURHR1NZGSk4k/atWtHvXr16NatGw4ODmVeG8sq0DUajcpn4fPPPwcoNlckhbm3NkFBQcybNw8oOq8JN/J6AwcOZNy4cTRt2hQXFxfl8dHR0YSGhvL9999z6dIlEhMTcXNzY+bMmfTv37/SsWl1Tcy1xPKzBAWH65LqwWAwVKsw12w2c+7cOaKiopTvqQVd9evXt9q11Ig1oVOnThw5cgSdTqeZpJKRkaH8nqR2UZb48tlnn2Xu3Lmax5Un9lPvVcSe/6233uLrr79mz549pKenFzlBd/fu3bzzzjssW7ZM2c8X5ROlQPf2QthK165d+eGHHzSibrPZzOXLl9m2bRv+/v4l+pzSJujWlEBX2Oq5c+cAFH8q9vje3t5Kga/k5qVNmzbUr1+f5ORkJR6EG41as7Ozyy0EKgkp0L19ycrKIjg4mB9//JFdu3Yp76MQ2QjfYjQayc3N5aeffgJunKlMnz6dTp064eLiUmX7Z/GcYhq4yGkKMjIyyr1vUTc0sPyeWC/UIg2Q+YGqpCRhrhAlCLFVYGAgq1evxt7evtqbRbu5ufHYY4+xaNEisrOz0el0GI1GdDodV65c4cSJEwwYMKBGzjgl1qcs00jz8vIAePHFFxkzZky5r1HaBF3RVAYK8uw1JcwtCssGjDIOqF5KE49X5VmQGrXNFSVSrEpCQkKUqblinyeu/cADD9CuXbtquQ9JychYU/s9GWvWfooS6FbXBF24UVt31113sXfv3kK5c/XUcJDix9uR6hboCpvy9PSkZcuWXLhwQckNifNVtY1K25RIJBJJTSArWiQ3LevXr1eKvooqYKtXrx4PPvgg/fv3VzqQAUoC0WQy4enpiaenJ59++im///47e/fupVGjRgwaNEjpFlVRxMFgdU7MLQmZfKxaiksui+9X10GwFOhKagPZ2dlKIZC6mMzHxwco3c9VRJhreeh54sQJli5dSlxcHMuXL6dVq1ZV9jmUwtybj3bt2jFixAhCQkKU90/tI8+dO8eLL77IBx98gIuLS7UeIF67do2//vqLK1euAIWba/Ts2VNOza1mihLmiphOr9dz5swZlixZwuOPP87AgQMrHccJW+vbty9bt25VuvmaTCaSkpLK9BwGgwEXFxfuuOOOQlPMLf3g6dOnWbt2LVOmTFEK72Uy8vagIgJdo9HI3Llzyc7OLnVi7uzZs3nxxReBAtsrzrbUhRPiM6C213r16qHT6Rg+fDgAc+bMISsri7CwMIKDg7l8+TL79+8nPz+fuLg4KXisRVTnxFw1NjY22NnZYWtrq6zz6kI6sd+vTHxYmkDXslgJtBP5pJ1WL8KnpaWlERoayu+//86pU6cIDw8v9jEdOnSgSZMmPPbYY3h7e+Pu7q48V3F2U1aBrihMEs8nhbm3HwcPHuTpp58GihfmTpkyhSFDhmgm4KqLgRs3bkzTpk3x9/fn2LFjrFq1Cl9fX0aMGFFpAY4QwxqNRmbNmlXlE3MtsfyMSfuvPqp7Yq7wmVFRUYpvVBcWtW/fnp49e1rtekXh6emprM9qwsLCSEhIwMvLS+bWaxFliS9ffPFFZs+eDVR+oon6se3atePxxx/H2dmZ7du3k5qaWuQE3b///ptFixbxxhtvaCbmWCIFurcfAwcO5L777mPjxo2aPYrRaGTz5s0MHToUf3//Ep+jNIGuEE5Up0BXp9Nx5swZRSBpOT2lRYsWNGvWrEquLak+bGxscHR01Ox3dTod2dnZhdZQayAFurcfSUlJrF69mn/++Yfw8HDFl+h0OvLz8xVhgvi/enrZrl27uHz5MoMHD2bmzJl4enpW2T7abDbj4OCgyTeJGDYsLIwrV67QuHFjq+yLinsOuT+qGsoyMbemhblQYBft2rWjUaNGREREKPcIN5pob9iwgQEDBlRrnYqkaqjOaaSlTdAF7f5IfB4AHn74YZ5//nmg+oW5kpqlNGGuOtdZlcLcmkD41/z8fDZt2sTx48cBNLEBIBsV1RJkrFkYGWveHJQm0FXbqrUFuu7u7nTv3p2goKBCA1rU/n3BggU89NBDwK3h3yVlpziBrsFg0NSpW0ugazabcXR05NFHH+XAgQOkpaVp1lzL2EMKcyUSiURS3ciVRnJTsnv3br744gsATaJZBHNeXl588sknzJo1SxHmigDMzs4OKNhIigPDUaNGsWDBAubMmWOVA2q9Xs+1a9cYN25cjQtzJVWLSC4bDAa++uor1q1bR3h4OOnp6YptFnXgURWH1VBYoNu0aVOlCFjcrzgg+vXXX1m+fDkxMTFVci+S25OzZ8+SkpKiJAn1ej22trZ07doVKDmRZw1h7q5du3jyySc5fvw4UVFRfPXVV5rid2sihblVR1l8pHoSXnmfd9asWQwdOhTQTl0WCe49e/bw5ptvkpGRoYk1qgL1/f/0009s2bIFuOHPRRLJZDIxcOBAReBRntcsqTglCXOFKAEgNDSU69evWzWOEwIgcS2z2cy+ffuUSc/FIYQUubm5PPfcc4SGhmqmh6uTkgAXLlzgp59+Ujq/iuS+5PbAUqDbpUsXZc0FbYOAxMRE1qxZw+eff86ECRMKCXPVSe4HH3xQEeaqizbLe2+WX6vvq27dunTt2pUHH3yQxYsXs27dOn7++WeWLl0qBY+1hJqYmCueB+D48eNkZGRoDq6FDYku5ZWND4VAd968eXh5eWliCoG4hhTm1iy5ubmcPHmSefPmsWDBAjZs2MDFixcBsLe3V7qD29raKnuL0NBQduzYwZw5c/joo480xTUlxWLqnwuB7tChQxWfqV6Xxe+DtqDtf//7nxTm3sKcO3eOd955h8zMzGKbXLz55ps89dRTijBX+DZbW1vFHsT/GzZsyIgRI/j666958sknlcZYlUH4rNmzZ3PkyJFC0wOqUpgrqTmqW5gLN3xgfHw8X3zxhWJfIpdkNptp3Lgxjo6OVr2mQPjq1q1bY2Njg62trcaHp6amkp6eLgvZaxFljS+FMFc93clatGjRgrlz5zJ+/Hjc3d2Va6gnhep0On755Re++uorAE3hmiXqPfj06dN5+OGH8fb2LnT/lgLdU6dOWfV1Saoe8T7fe++9eHh4FDqjTEpKIiwsTPO94lDb/IoVK+jfv3+hhkDiayHQ/fXXX0lOTrb+C+NGvuCnn34iOztbE9uYTCbq1aun5DOrMr8qqVqMRiNOTk60aNEC0BaqX7p0iYsXL1ZJvtpSoHvvvfcqE3rVAl1AEehu375d0/BDcnMQFxfHokWL+OmnnxSxhHrfoc5pq/OD6rU3IiKCX375hffee49r166VuP5WBp1OR/PmzWnVqlWhnGVaWhppaWlyX3QTUtrEXGGTNS3MVePn56fkjsQ9iv927NjB+vXrAdnE/2amJNGjtYW5AkuBLhQMwADtGY34+t5771WEufn5+dIH3kaUZarzrSrMVe/Xv//+e+WcXd2A2Gw2M2jQIMaOHVtj9ym5gYw1JTc7lgLdESNGKI2o1blJQBHovv3226Snp1e4/kfY3axZs+jatavms6JuTP3YY49JYe5tjhDozp8/Hyio4xXNqcV+acmSJaxbt460tLQKX0v46caNG3PXXXcBBbWV6kaBcCP2kLoMiUQikVQ3crWR3HRERESwbt06EhISgIJDalEoVL9+fb777jt69uyJvb298rjiks7qzXKDBg2oW7eu1e7V1taWBg0aABRZaCeFuTc/amHuxIkTWbJkCa+//joTJ05k5MiRPPbYYyxbtoxffvmFS5cuERcXpzxWLQQD6wqtyiPQXb9+vRToSqyKKIwTiRmTyaSIy0qiIsJctS1nZmby448/Mn/+fBISEpT1ISIigtzcXKu/TinMtS6WyUCj0ahMQAwODubs2bMcPXqUoKAgwsPDiY+PJyUlBSgs2ioJ9bo/ceJEOnToUOj6IkG0fft2/ve//1WpQFdt999//z0rVqwA0EylMpvN+Pn5MWfOHOVe5WF61VOSMBfQFKk/++yzjBkzxqrXb9u2LQ0aNFA6mwMkJycXmqasRsSTeXl5PProo+zdu1fxU+L/6qSkeJ6LFy/y008/sXbtWuX7UqB7+1Aege61a9dYsWIFYWFhSsGtEKqrhbkvvPACYH2RjrBdsfar79HDw4OGDRsybNgwQO6vaprihBNqW3nxxRerpBhDPM/+/fuVw0Fhx2Itr1+/vlWuBaULdMW1pTC35jh58iRffvklDz30EMHBwSQkJCjFFzqdjry8PKX5hdFo1EwQt7GxISEhgd9//51nnnmGHTt2AKUXNpZFoKuOXdUTG5csWcKkSZM0xR+SW4dr166xevVqLl26BGjzhcJXfvbZZ4wfP17TPbosduDu7o6vr6/V7jU0NJTMzEwcHR01flwKc29NakKYCzeaJ2zbto34+HhF3Ag3bMrLy4snnnhCE5taE+HLW7RooRTWi+uIz+TVq1etfl1JxahNxb5NmzZl8uTJ3H///bi5uWnyNOqvN23axK5du4CSY4eKCHTfe+89KdC9yRD22LNnT5o3b66xUWHHy5cvJz4+vky2W5pAV9hUVQt0jUYjhw4dYu/evcq/xWcToHHjxrRq1Up5nZKbE9HMSExAVtsX3Dibqap8tRTo3vpER0czf/58/vnnH6UxSlE5bDXqXLe6GD01NZV//vmHZcuWkZycXGU2YGtri4uLi+a5hXDtypUrQNU16ZZYn9KEubVlYq4aYXvDhg2jZ8+eyvfUZ45BQUGa2hTJzUVJokeo2gaYJQl01f5ZIOJBQJleL7n1KU08fisLc6EgPlm7di0ff/wxULi+o0WLFprXLakZZKwpuVWoboGusG+dTqcMY1HXLun1ehwcHJTp4Hl5ebeEf5dUjOIEuiKfbW2BrouLi3JepT7XF/bZs2dPZQ0uqrm6RCKRSCRVhVxxJDcNYoNw5MgRDh48qAmaRFLHy8uLH3/8kTZt2pRrQ1FV0xQ9PDz4/vvv6datmzLFTApzbx3EQU1+fj7Tp0/nzJkz2Nvbo9fryc3NJTY2lqCgIJYvX86iRYuYMmUK48aN4+mnn+b9999n+/btXL58mfT0dMD603WlQFdSUwh/ZimYFELKoqioMFdd0HPmzBnefvttoCAxCRASEsKePXus9fIKXVsKcyuHZSHP6dOn+fPPP3nuueeYNGmS8t+ECROYNm0ac+bMYfz48YwaNYqpU6eycOFCvvrqKyIjI0lNTdU8d3GJcGFrd9xxB0OGDMHV1bXIn2dnZ/PXX3/x/PPPk56erhSiWxNxrTVr1vDee+8BaCZMmM1m3NzcGDx4MG3atAHKVpgvqRxlEeaKr5999lnmzp2rPM5aeHh44ObmpplKGhsbS0RERJG/rxbmzp8/n3379inJcfX9NmrUSJOUlAJdCZRPoCsKbYXgUb3HqUphbnH3rf6/Gukra47IyEimT59eqGAI0Ahz1RPNrP1+7d27l02bNgEoAkxhz/3796d3795WvV5JAl3hi6Uwt2bYtm0b77//Pt9//z0ZGRka36Ze59RTGtU+RbxPZrOZ+Ph4nnjiCUV4UBqlCXSFbVjGrJaTKCS3BsLeTp06RVBQkKZQQS2AXLlyJUOGDKmx+1TTvn17XnrpJbp166YUlwFSmHsLYjAYCglzzWazYpcrVqywujBX+Ljw8HA2btzI9evXlZ+JTuc9e/akYcOGhXyzNREFTQ4ODsp1xGczLy+P8PDwKrmupHwUVZBe08W+jRs3Zvr06QwZMoQ6deoUuX+OiIhgx44dSv6/JMoj0DUajZw6dYoFCxYoRZmSmwOTyYSjoyOPP/44devWVXI+Yi1NTk5WhA1lyTGVJNC1LJi0tkBX2OvFixdZsWKFRlQsBEwATzzxBE2aNKn09SQ1i7Ald3d3gEKF7GWd+lxRpED31uXKlSs8+OCDnDt3TsnfiPdb+BF7e3saNWpEs2bNlKboIhYQjxG2p9PpyMrK4r///uPnn38mOzvb6nGkqPlo2bIlUNAQVvjfEydOKPciqf2UJMwV+b3aJsyFAvtq0KABd955J1CQAxVs376doKAgQOaYbjZqYmKuJcUJdNV2L+xt586dfPvtt+zbt0/5vrS5W5vSJuYCN4Uwt7J2+v333/Pmm28Ches76tSpQ//+/Wnfvj0gzyxrChlrSm41ShPogrbezRoCXTs7OyZPnoyHh4fSuEaQm5vLRx99RFpammaIluT2pCiBblF16tYQ6AIMHTqUoUOHAgVruhCpR0VFERwcrMkXSSQSiURSHcidn+SmQa/XEx0dzdKlS8nOzi4kNvDw8OCLL76gefPmtaLbiUjYe3p6smzZMnr06KEUNElh7s2PsL38/HxmzZqlFK8ZDAZl2o44uBHJnZSUFBITE9m+fTurVq3iqaee4r777mP8+PEsWLCAjz76iMOHDxMaGkpOTg5QOEFnMpnKtVGWAl1JTSB8nSgcE/YmCi0tbdgawly4UfAeGBiorAsiaQlYddKJFOZaF+Ef//77b55++mkeeughnn/+ebZv386ZM2e4du2a8rvCp+bn55OamsqlS5fYsGEDS5YsYdq0aTzzzDNs3rxZeYw6UW6J2WzG3t6e6dOnKwfX6gS2euLJ7t27mTVrFleuXLHKmq0+6MnJyWHFihW89dZbgPbgRlwrMDCQKVOm4OzsXOlrS0qnosJcayb1TCYT9vb2mkMXo9FIampqkf6sOGGuuF/hl9977z3efvtt2rZtKwW6kkKURaAr/i++Vn8eZs+eXa3CXEntJCsriyeeeIJr167h6Oio2Ic4CNHr9XTo0IFx48Ypj7H2fvjatWts376d3NxcTSwg4ogePXoUKYisLEUJdNXxrBTmVj8//fQTr732GidOnCAvL0/xWWKPom48oJ5cK4odLCcgA7Rp04ZGjRqV+R7KItAViOs98cQTrF+/XikAlWvxrYFeryc/P5/ly5eTmJio2Jl6Lf3oo4/o169frShgFPfQvXt35syZQ69evbCzs8NoNEph7i2GwWBg2rRpGmGuyMMAjB8/nv79+yu/aw1E3jQ9PZ0PPviA0NBQpdhNPZ1KTCUtraFhZZok6fV6PDw86Nixo/JvUXwfEBDAlClTKvzcEutQVEE6VO2kqLLi4+PDrFmzCAwM1IghhH8H2LBhAwcOHCjT85VFoCumVxoMBrp06YKPj08VvDJJVSFs09fXlxYtWgAF+xSTyURGRgZbtmxRvl8WSpugWxUCXXEGe/36dV577TXCwsI0k4XE9WfNmsXdd99d4etIKofwJ9bYTwj/1qlTJ+zt7ZV9jnivQ0NDgaoVHUiB7q1HVFQUU6ZMISoqSsmfiHNte3t7mjZtylNPPcXy5cvZsGEDv/76K2vWrGHVqlWMGzeOZs2aacSTAp1OR2JiItu2bePy5cuAdZtqimuJM0BL20pKSlLuQ1K7KW1irshl1jZhrkCcr8+bN4/OnTtrRGHi/j744ANOnz4t7fEmoiYn5loiYsmiBLoifhWfoT179rB69Wop0L0NKE08DgWNMIcPH67YaH5+fq05ExF7ofL4RnUsERcXx9KlSzWN19V1BAAdOnRg1qxZuLi4WOu2JeVExpqSW5WSBLpqPwzWEegajUaaNGnCxIkTlRhAXMvGxoa4uDhl/ZfnmZLiJuiKHJK1BbqBgYFAQX4VbthmTEwMJ0+erDWxh0QikUhuH+TKI7lpyMvLY82aNaSmpiqFQjqdDoPBgIuLCwsXLqRz586awgdrU9IGoqifqQW6S5YsoU2bNjz77LNSmHsLIAoMpk2bxrFjx7C3t9cUrqkn8YjCb7UAUafTYWtrS35+PleuXGHz5s188803PPzww0yYMIFZs2bxxBNP8MUXX7B//34uXLgAUCjpI65REpYC3SZNmkiBrqRKadKkCfb29oqNCRvdsGEDOTk5hYrcrSHMhRsTpnx8fJQiT3Uy8vTp05pikYoihbnWJT09nUOHDvHwww+zePFitm3bpoi4hV8SNiIE14DmcEP406SkJA4ePMiCBQt46qmnWLp0aSHBhRpxaOji4sJbb72lTLlX25awIVtbW86cOcPMmTPZunUr8fHxyu+U92BR2CfA0aNHefvtt/nkk0+U66inWxiNRpo3b84rr7xC/fr1y3UdScWojDDXmjGdWO/9/f2V5xefiejoaEAbaxQ3MVeIQOBGcnP06NF07tyZefPm0a5dOynQlRSiNIGuen1Vr6tz587lxRdfBKRI53bH1tZWERHk5OQotiD8jclk4uzZsyxevJjIyEirXlvY6b59+/j9998LTa81GAz4+voybty4QrGitVALdBs0aEB+fr4U5tYQ33//PW+88YYyqU6sZ2KNFOt5nTp1aN26NT169KBXr174+PhQt25dAGVCuHisn58fL7/8stI8o6yUVaCr3pu/9tpr/Pbbb5p7l9z8fPPNN5w5c0Z5n8U+B+C5557jvvvuU75flahjwOJsS223d955J3PmzMHPz4+xY8dKYe4txuLFiwkODlaKbi0LePbu3cuaNWsANBOUK4o6J7lgwQIOHTqkrIvqqRVvv/02/fr1w2AwEB8fz8WLF4mIiCA+Pp6kpCTNJFJ1vCGep7zUq1cPKPhcBgQEsGbNGhwcHKwmSpaUn+IK0mtyYq4lrVu35sknn8TDw0OTV1Lv4z/88EMuXbpUpucrSaALBfuwkSNHKoXAsuj95kMUNQKK+EcUsAcFBbF169ZyPV91CnSFH8/Pz2f+/PmcPHlSyRuoG9507dqVwYMHy1ihBhDvgcgJFtV0qKLruaurK0ajUbEvES+IAvGqRgp0bx0uX77M5MmTSUhI0OyNDQYDbm5uzJ49m48//pj58+fTs2dP3N3dcXV1pWnTpvTq1YuXXnqJTz75BH9/f6Wxi3iPhU+9cOECX3/9NVD2hgdlQdiRyB2Adg8XHBxMRkaGVUUaEutTmjC3tk7MVSPqVfR6PXPnzsXLy0vx7yLHlJ6ezjfffCNrP24SShLmVtfEXEvEeXpxE3TVa+9///0nBbq3OCUJcwHN+aHJZGLr1q1s2LABuFHLUxty3LGxsYqwNi4uTvlMlbZuCzvfunUr77//PitXrgQK6jvUa4iPjw9vv/22Zi8vqV5krCm51SlNoKs+B6+sQFfYd5cuXTAYDIXONa9fv87ff/+t3JdEUpJAV72fsoZAd8qUKbRv315zhiPs88svv1Rq7iUSiUQiqS5qR9ZQIikDeXl5HD9+HNAmRWxtbbn//vvp0aMHUDUFbCLBpN5A5OTkKEJge3v7QpsLsdER4hovLy9++eUXHB0dNc8puXkJCQlRbFFM4RGicbVI1/Lf4mtxGKxO4IgitFOnTmEymdixYwc6nQ4HBwfat2+Ph4cH/fr1o1GjRvj5+dGgQYNip0eIogu1Hfr4+PD9998za9Ysrl69qiShxAGNwWBg/fr1AMyfP5/GjRtXx59ScovRtGlTnJycCm2eY2NjiY2NpUWLFsphobWEucIfDx8+XCleElOsATIyMjRTfCuCFOZal+DgYLZv384vv/xCRkaGYg/CJ4rEibow2PIAT7y/lgcewcHBnDhxguPHjzNlyhTuvPNOpUhSvfaKaaRubm589tlnTJ8+nfDwcI1IVjy/ra0tMTExvPHGG/Tq1YuxY8fSt29fxYaLs82i/LHBYOCzzz5j//79hISEAIWFuQaDAS8vL7788kuaNWtmrT+7pARqizAXCuIHLy8vQDt15ODBg0ydOlVJmhcnzFVPzF2yZAnDhw/HbDZTp04dBg4ciF6vZ8WKFcpkC1EEajKZFIGuXq9n8uTJMma9zbAU6L799tucOHFCKRhW/45Op8PR0ZGGDRtqHi+5fbG3t2fYsGHY29vzzjvvkJiYqKxx6gKiP//8E7PZzFNPPWWVdU74w4MHD/Lmm2+Sm5urKYowGAzUq1ePl19+WSkmrqoicSHQhRvConvuuUcKc6uZVatW8f777wMo+3T1hFJ7e3s8PT2ZPHkyPXr0oEOHDkq356ysLOLi4ti8eTP//PMPkZGRGAwGmjdvzkMPPUSXLl0q5OfUflMIdAG2bdumCBws9+avvPIKAGPHjtWs+5Kbk/z8fE6dOgUULva69957ueeee6rs2pa2Y5mnskRdvCG+7tGjBx999JEiTq9NBcmSyjFq1CguXrzIqVOnlGIzNbGxsXz99dfodLpC+5Dyorabxx9/nN27dyu5AJFTBWjfvj2pqak8/vjjhIWFkZqaSlpaGnq9HmdnZ8xmM3Z2drRu3Rp3d3c6depE+/btadCgAX5+fkXeX2l7dn9/f7Zs2YLBYMDf318jzJW2XjOICSeWBenqvfmCBQtqVJgrCAwMZPHixTz22GOadV18plJSUjh06BDNmzcvUxyq/pxNnz4duJE7jYuLw2QyMWrUKCXWkfHBzYdYWwcMGEDv3r3Zv3+/8n3x/1OnTjF8+PByPa+IIW1tbVmxYgWPPPIIu3fvVqYtCz+rFugCjBs3Dg8PjzJdQ11M9+CDD3Ls2DGlcYO6CWe9evUYNWoU3bp1K9drkFQe4ROioqJ44YUXaNOmDQ0aNKBXr164urrSqFEjXFxcivQbwj+p30tLGjduTOPGjYmJidGcd545c4a0tDRcXFyqXJBtKdAF+Pvvv8nOztYIdI1GoyLQ1el0DBkyBDs7uyq9N0nZKEp0JtZ3Dw8P3nzzTXr06KEIEiybXwO4uLjQoUMHfvjhBx566CGCg4OVZq7qJlv//PMPhw4d4s4777Ta/Yt78Pf3x83NjczMTCVOgRvnkdnZ2XJSXi3mVhDmCsTr8Pf3p2vXrmzfvl2TYwI4fPgw//77L+PHj8fBwaEmb1dSAiWJHkWj6ppqUCR8qhDozp49m/z8fMWHi8+U0Wjkv//+Ux7Xp08fTW5JcnNTmo1aNnwTwyoWLlyI2WyuFTnuzMxM/v33X7Zt20Z6ejoXLlygX79+jBs3DmdnZ83rVJOcnExiYiJffvklR48eJTExESi6vqNevXqsWLECX1/f6n1xEgUZa0puFywFunCjgUBmZqbGl5nNZkWgazabeeWVV3B1dS23P7777ruZMGECv/zyi6ZGz2g08vfff/PHH38wcuTIKnmtkpsPIdAFWL58ubKXMhgMmq+XLFkCwMSJE3FzcyvXNUwmE/b29jzwwANEREQoQ19EXig3N5f9+/fTpk0b2WxYIpFIJNWGzizblEluEn755RcWLVqkFIcJkYKtrS1ff/01vXr1sur1LBOE0dHRhISEcPjwYa5du0ZERIQyca9evXq0bNmSIUOG0LJlS0VIYbnRUXeJk8nHW4OgoCBWr15NUFAQUDDpECgx0awuOivKNsT3RYKoKFFaw4YNadiwIS1atKBbt254eHjQtWtXHB0dCx2siA2GSJJfuXKlkEBX3L9I6o8fP14KdCXlxmQykZ2dzZw5czh+/LimGB5uFPu89dZbQIG9V1aYq+b48eNMmzZN+XyJz1pgYCA///xzhf2vFOZalz///JPvvvuO8PBw8vLyColhBcJ+oKDDnngvippWbpk0N5lMNGzYkF69ejFv3jyaN29eYpFucnIyDz74IKGhoZqpEsJuhJhXMHPmTDp37sywYcPKZFehoaEcPHiQP/74g7Nnzxb5OoXN1q9fn1WrVkmbqiZKEuZadqOuamGumitXrjBx4kSuX7+uCNu6devGmjVrFLssqzDX8n5zcnLYvXu3ItBVd88Uv9ewYUNmzZqlCIgktxfCxkJDQ4sU6Kpj0/r16zNjxgzmzJkDyAJxCeTm5vLPP/+UKNAFGDFiRKUFusKHnzlzhhkzZpCZmakR5ppMJhwcHBg7diyPPvqosl+vahITEwkNDaVv376A/FxUF//3f//H4sWLgaKLY9zc3Jg0aRKDBg2iU6dOyuPUAl7B6dOn2b17N+vXr2f06NE89NBDuLq6Vur+1PuRU6dOsXr16kICXXVBKNwQeY8dO1a5T2lHNyc7d+7k8ccfB9DkCs1mM++//z6jRo2q0utnZ2cTHh5OSEiIktcUflnkMgcNGoS7uzsuLi4l5jGlHd56nDx5knfffZfTp08Xasgi9qoNGzZkzpw5TJ06FSi/HagL2Z944gl27Nih6bBfEqLYU6/XK8Wdlg0R4UbhXPv27fHy8mLgwIF4eHgQGBioFFiq79vy/oOCgpgzZw6dOnXixx9/lMLcGubKlSuMHj2azMxMTdMs9fu+ePFiJk6cqPjSmvJLah/56aef8uWXXwIU+hx16tSJdevWlSsvqbbTH3/8kffee48RI0bIxi+3EJ988gkrVqxQcoMi92hra8uaNWsIDAws93OqfZdaoAsoDTPhhv00btyYSZMmlUmgqxbmzpgxgyNHjmiEucK3ms1m5s2bxzPPPAPI89DqRC3MnThxIikpKcrPxHvVqlUrGjduTNOmTenatSsuLi507NgRV1dX7O3ti31O9fs4depUjh07pjnfdHFxYcuWLTRo0KDaX296ejpvv/22ItAFCuXyO3fuzIQJE3jggQek36xhShJLeHl58fnnn5fZ94l8UHx8PA8//DBhYWGacx244YNef/11Jk+ebPXXEhMTw6hRo0hPTwdQ9vJ6vZ6vvvqKnj17Sh9YC6lOYa76rNoyZq0K2zhx4gTTp09X7lWdG23RogUffvgh/v7+MoashZQ0MRe0NTzVLcwt6j4PHDjA7NmzATRTU9W1Uv369WPGjBn06dMHkDHhzU5pNqquf1P7PPVZUE3muIX9/fPPP7z++uskJiYq+xdbW1t8fX0ZM2YM7du3p2nTpri4uJCfn09oaChxcXFs2rSJq1evcu3aNeVxlnUsRqMRb29vvv32W1nfUYPIWFNyOyJ8alZWFu+88w5//fUXmZmZys/VOXQnJyfuvfdeXnnlFerWrVtmfyx+7++//+a1115TBMDi+eFGnfHixYulXUo0JCcn8+OPP7J8+XKg6LN7uFGHVxGBLkBYWBjTpk0jLS1NM1zLZDLRtm1b1q9fj729vbRNiUQikVQLUpwruWl4//33WbVqlaZY0Ww2M3PmTKX7jzWw3HT88ccfHDlyhG3btpGdna0pmAQ0ySQbGxt69OjB4MGDlUIlya2JOljfs2cPq1evZu/evQCFbFRdzKi2F9B2MxdFkepNseVziANlSzsUNGvWDAcHB3r27EmLFi3o0KEDbdu2BW5ssNVcvnyZhx56iOjo6GI3PuPGjePRRx+VAl1Jufnyyy/59NNPAW0hhK2tLa+88oqSnPzmm2/46KOPgMoLc81mM6GhoUydOlUpwhD23LdvX77++mslUV4epDDXuvz88898/PHHShJZfXAh3q+i/Jul/1QjJu2omyNYHvz4+Pjw3nvv0blz5yKfQ/jilJQUnnrqKQ4fPqx5fnXIrPaTdnZ2dOzYkTZt2tC7d2/q1auHj48Pubm55OXlkZKSwpEjR4iOjmbHjh3k5+crr1E9GUjdTbZNmzYsW7aMFi1alPvvKyk/tVWYCzcSlffddx/JycnKYZ+dnR2//vorbdu2LZcwt6hEo6VAV7weW1tb8vLygBvTeXr37l2lr1NSeylNoKsWbHh5eTF79mweeughQBaKS6pHoCt8+Pnz55k6dSoZGRmaohC4YccBAQG89tprGjFmdSI/D9XDjh07WLRoESkpKUXGmJ6enrz77rt06dJF6Ype1Huj/p7BYODSpUu4urpardC8NIGu2A/VluIlSeUQ7/dXX33FsmXLlGneYr8yaNAgvvjiC83vVgZL+wgODubo0aNs3ryZa9euaUQalvj4+NCkSROeeeYZ2rVrpzR+kwfWtwdVKdAtSZgrntuyYSEUdP8XPxf3U1RzQ5EPEL8nfKifnx/u7u707NmTDh060KJFC3x9fQvlmXbu3Mny5cv56aefpDC3hjEYDHzxxRdKwY5lgzbxvj/++ONK04Pa0vn+5MmTvP7665w/f17JhapzVqIZQ3n8qvpztm/fPqW4XcYDNzfCBrKzs5k0aRLnz59XbFuIKB988EGee+65ConPSxLoqvORZRXoliTMVRemm81mJk6cqDTLkTFE9VGUYMLBwYG8vDzFD1k2AhbrbJMmTXB0dMTPz4+OHTvSsGFDevTogZ2dXZE28eqrr/Lrr78q77uwrW+++abaC8RLE+iq8/iPPfYYTzzxRLXcl6RoShNLrFq1Cj8/v3I9p7Dn//u//+PDDz8kLy9Pc95tNBrp3bs3K1aswM7Ozmq2aTabyc/PZ+LEiUrjSxG3wo3PybRp06xyLYn1KEmYK2o7KiPMLaqhQVkfU1nENdesWaM0ybZs/hEQEMCqVatwcXGpNfGzpPRppLVFmGt5v5YCXXGP6uYYUqB7a1Ae8bjwp7Uxx3327FmeeOIJZYCF2WxW6pfUcXK9evWU+7fMo1o2WFDXd7Rq1YrPP/9c1nfUIDLWlNzOqAW6n3zyCevWrVPqfQSVFegC5OXlMWvWLI4fP66Je0Wu6aeffqJLly5Wf32Sm5vExETWrl2r5PsBTR60MgJd9RmsmMIrfLFYA55++mkeeeQRK74iiUQikUiKR1YXSGo9JpOJrKws9u/fr3xPXXzTtm1bq3VHF8+Rk5PDv//+yz///MOWLVs0waC6AEiIyNRJ0QMHDnDgwAFCQ0N56KGH8PX1lQnGWxC1Hdx9993K9/fu3atJNqoPuhs1akRAQADNmjXj33//JSUlhbS0NABlkyGSgOK5xUEQFAi31N19AEWMYzabuXr1KkajkbCwMOX5GjRogLe3Nz179sTLy4vu3btTp04dfH19+fXXX5kwYQJRUVHK6xIHTAaDgV9//RVACnQlZUbYbp8+fdiwYQMxMTFAQdGP0Wjk559/pmnTpkRERFhNmAsozy8mqIjHArRo0ULx1eVBCnOti3pKsnqysTioE77Q3d2dxo0b06tXL1q3bo2HhwdNmjQhKyuL+Ph4kpOT2b9/P1evXiU4OFixHXWjAXXRpslkIjIykunTp7NkyRIGDx5c6N7EY93d3fnss89YvHgxhw4dIikpqVD3U2EXRqMRk8lEcHAwwcHBrF+/HrPZjJubG9nZ2RiNRuzs7MjJySkUSwhbVx/cuLq6EhAQwP/+9z98fHyq4y257SlJmAvUqDDXZDLh4eFBp06d+O+//5TCELWPq4wwF274sv79+wMoAl17e3slUf/ZZ59JYe5tjvBR7dq145VXXikk0FVPx0lMTGTVqlUAPPTQQ0VOJJPcXjg4ODBo0CCAQgJd9Z5jy5YtAOUW6BYnzLUsXKpXrx6PPvpojQlzAfk5qAbOnj3LmjVrSEtLK7RfNhgM1K9fn5UrV9KhQwfN44p6b9Tfs7W1tXqsr84ndOrUSZlQbzlBV/05eeWVVwAYO3as9K83GTqdjtzcXP777z+NSEvYZq9evQDrCMvUudGjR49y4MABVq5ciU6nIz8/XykmVotpxPeMRiNXrlzhypUrPPjgg8yaNYshQ4bQrl27Qo3jJLcmnTt35uWXXy4k0FXHe3FxcXz99dfAjal5ZfFHZRXmCtRfWwp31TlT9c/VjbrE/YrniYyMJCwsTGnA5erqSps2bWjSpAkDBgzA09MTX19fBg8eTP/+/TWNFCU1g62tLffffz85OTn89ttvXL9+XVPYK97nzz//nMzMTF588UVNAXBN0rlzZ+666y5CQ0M1ZwPCHs+dO8eoUaPK5U9FzszGxkYKc28hRLxqb2/PgAEDCA8PV3LboqHRjh07mDdvHnXr1i33Oqz2ZStWrNAIdIXvFnmmmJgYfv75Z4AiBbplEeYKOx89erQizJV2Wn2oJ+aqi9Hz8vI0Zy6WjS2Eb4qPj8dgMHDx4kW2bdsG3Fgv7ezs6NKlCz4+PrRt25ZOnTrRtGlT+vfvz6+//qqsvyJ3GhkZSc+ePas1dhT2XLduXWXPJAS66iYf999/vxTm1jBlFUuU13cIO7vzzjuxs7MjOztbsUFho8nJyZrftQY6nQ57e3uaNWvGuXPnlO+LmCUxMdFq15JYDxErvvTSS2zatEmzN1cLczt37lwuYa7wecJ24+PjiYyM5NixY1y8eJHc3FySk5Oxs7OjVatWeHh40LdvX5o1a4aXl5fyPJVZO4V99+vXj8OHD7N9+3ZNM3lbW1tCQkJ4/PHHNQMRajp+vt0pSZgLVTMxt6g1ujy2INbXXr16sWrVKmbPnk1+fr7i20V8aDQa+e+//5TH9enTR+aXbkJKs1H1Ofr06dPJzs5m06ZNmiaUtSHHnZ+fz7vvvsvVq1dxdHRU4mSxB1NPTU9LS9PEzuqaFnVtqrq+o0uXLrz66quyvqMGkbGm5HZH+LM6derQunVrcnNzNT9T51Szs7P5+++/Acol0DUajdjb2zNv3jxeeOEF5TxWLbBcs2YNfn5+uLi4VOnrldxceHl58dRTT3H+/Hl27dql+Zk6ThDi2vIIdIXv7dy5Mx4eHqSkpCj5dOGng4ODyc7OxsnJScaiEolEIqlyZIWBpNaj1+uxtbUlKysLKCi2Aahbt66SxKto0KQOuPLy8oiJieGtt94iNDSUpKQk5R7MZrOSmFd3o1IXAakT+OvXrychIYE5c+bQpUsXeQh9k1JSIrqsAl1BTk4O+fn5zJgxg2effZbY2FjCwsI4c+YM0dHRHDx4kJycnELd94RNqQseoKBYTV2AZmmHADExMcTExHDixAkA6tWrh16vp3379vTq1Ythw4bxww8/kJubq3lOKdCVlBW1HxX/9/f3p23btkRHRyuFHsJ/XrhwgTfffFMRhVtDmCsSRdHR0RohpdhwN2rUqNC9luU5pTDXeqxevVoR5qqLKoW/sre3x93dnXHjxtG/f38CAgKKfB4hqBBdVbdv305ISAhr165VYgWx5qoLIUVB0rPPPssbb7zBsGHDlElQAnFY6Obmxptvvsn69evZtm0bwcHBii2Kgxbhb9XFbOLrrKwsZeqq+tAGUGIJdTGU2WzGz8+PoUOHMn78eKtNZZOUTG2emAsFdtyiRQt2796t8W3//vsvH3zwAfv376+wMFegFuh+/fXXnDlzBoDPP/9cEbLLBOXtjRToSipDSQJd9Z6jvALd0ibmqvdDCxcuZMCAAYD0Z7ciwsfs3buX4OBgzZQSdfHFmjVr8PX1rTU2IAW6tx9igpeI/0W82bNnT4BKFcSqCyuysrJYunQp+/btIzIyEkBpECT2MEL0AwViCvG5sLW1JTMzk2+//Zbw8HCmT59Ot27dasXnRlL1FCXQFT61IgJddSH7448/zs6dOwsJc0FbzKkW56pFNUXlR9VNEYsS9RaVK83MzOTo0aMcPXqULVu2YDAYGDduHG+++aaSn5LC3JqnZcuWTJo0CZPJxMaNGzUCXdFYwGAwsGrVKnQ6HS+88EKNCwzE5+Chhx4iKChImWwiYhKj0ciWLVuYPHkyvr6+5Xpuy9ck1/9bA/E+Dh06lB9++IHs7GzFzm1tbbl8+TKrVq3iiSeeqNA6bA2BrhBalCbMNZlMjBw5kvfeew+QwtzqRq/Xc/HiRWbNmkVSUhL29vaaaU6WZ9pifQTtWqle00V+e+fOncpjXVxc8PLywtPTUyNIED4uPT1d+d2ibLaq7KIoge7OnTvJyMgAYOTIkcq5hLTNmqGqxBICs9lMq1atGDBgAH/88Uch8df169dJSUnB29vbaq9JxBzu7u5AQTMNce514sQJ8vLyrDpBTWIdtm3bxqZNmwBt/hBQhLnr1q1T/l3a3kDYbW5uLvHx8axdu5Z9+/YRHh6u/I56X3PkyBEAfvjhB5ydnZk2bRpdunShe/fuVvFPPj4+DB06lJCQEOLi4jRTTG1tbTl48CAvvvgi77//fo3Hz7c7pU0jVe+Tq0KYu3HjRv755x8+++yzctuCiAOKEujm5+drmlxLge7NS0VsNCQkRBF9qXPc6rOgmshx29nZ8fzzz/Pyyy8TERFRKNdl2QwOCj4v6hyTOmY2m820aNGCIUOGMG3aNFnfUYPIWFP609sdYY82NjZs2LCBRYsWAWj8lfr3KirQFXFC8+bNqVevHmlpaRo/D3D69GnS0tJwcXGR+2+Jxldu2rSJf//9V/NzdR1lZQS6cKOJwt13382mTZuU3Jew9927d/PXX38xZswY6TMlEolEUuXIKgPJTUFGRobSbUdgmQipKOI5T58+zc6dO9mwYQPXrl1TNgdiE6H+3aIShuLf6gSTEFI888wztG/fvlL3Kal+RLIjPz+fjRs3MmHChEK/Ux6BbkpKCnv37mXRokU8//zztG7dmiZNmiiCmOvXr5OTk8P+/fuJi4vjyJEjXL58mYyMDFJTUzWHQ+rEn+WUSCgorlQfqsONBGp6ejpGo5F9+/axb98+3NzclKmO6tdUlEB3/vz5NGnSxFp/YkktxdK/JScnYzabiY2NxWw2U79+ffR6vZJgtty4isKcBQsWEBoaytWrVzUF8kajURHmqgt4KirMhYJipr/++kszcdpoNFK/fn1FYFbeyRQA//vf/5TiJCnMrRi//vor77zzDlAwoRYKDr7d3NwYM2YMQ4YMoWvXrsrjijv4Fn5Vr9dzzz33cM8993D//ffz888/s3//fi5duqQUmonDFPFceXl5vPbaa2RnZzN27Fjs7e01zy38trOzM1OnTiUwMJB169axceNGxU4tJ/SqC5rEfaubHagPdCwbKAD079+fWbNm0alTJ+rUqWONP7mkFKpjYq46VrVsJKP+WXHPJ37m5+cHaGPSb7/9lszMTMVHVlSYKxACXaPRyBdffMHjjz8uhbkSDVKgK6kMpU3QVYsVoHSBbmnCXLUPf+uttxg5ciQg/dmtiPA9Fy9e5NtvvyU3N1eJ5US85enpyfLly/H19a11BYdSoHt7YDKZSElJUbrZi/ddPcGsMrYpbCA+Pp5du3axceNGTp48qfg7dQxp2VhLLWwUiHvJycnh33//JTc3F1tbWwIDAyv4F5DcbFhrgm5JwlwxlQRQpqjY2dnRvHlzmjZtqjyXyWQiKiqKjIwMsrOzycjIKJQfBa2dF4V6moV4HSI/0LFjR1599dVCTeckNY+vry9TpkwBKCTQVeetv/vuO4AaF+gKm3ZycqJNmzaEhoYq8YjIVWZmZirNGiQSQNlnz5kzh88++0zTSAPg1KlT5Obm4ujoWKH9TGUFunZ2dphMJmbOnKkR5qonrwphrhQ/1hxGo5GlS5diNptxcnJS/KT4GRQ0SBXroHrdtMxvq+NUYSc2NjZkZGSQkZHBpUuXAG0DTrjR9C80NBRfX1+aN29O586dsbW1pXHjxso0MjXCftTNXSuKpUBXp9OxceNG7rvvPmmbNUxViyWgIH7z8PAotL8RjVstz4Eqi7jXO+64g59//lm5B3H9jIyMSjWXl1Qdvr6+9OnTh4MHD2r2OgDOzs7Mnj0bKJswV8SdKSkpfPfdd+zbt4+zZ88q77s6X2lpD7m5uWRmZrJs2TLc3d2ZMGECc+fOxdHREahYHlM8Zvjw4Zw9e5ZvvvlG0/RVxBlbt27FycmJ//3vf7UqT3Y7UZ5ppFUhzN20aRMvv/wyQIXF2uKzIyfo3pqUZKM6na5YGw0ICGDmzJnodDpNjrs2TNAVU9FfeOEFTp48SWZmptIYybLmTt1gXZ17Uuek7r77bmbOnEnnzp3lhMgaRMaa0o/WJiztrDp8m+X6vnDhQqAgDrWsUYICH1fRCbq+vr489NBDLFq0SHMNsW58/vnnvPvuu3L/fZtjaZsvvfQSUFAzKtZZQNFcVFSgK+x23LhxHDp0iNjYWOUexHP+8ccf9OnTx6qNFCQSiUQiKQopzpXUeoxGI/n5+eTn5xdK0GVnZ5OSkkLDhg3LteFUbySMRiObN2/ms88+IykpiZycHCUIVHcMhoJki1rso07Yi6SROtG4Z88e6tWrx/vvv1+qCENSexCJZ4PBwJQpU0hISGD06NFFdh0rq0BXp9ORn5/PgQMH+PDDD3nxxRdp2bKlcgDt6uqKq6sro0ePBmDevHlkZmZy9epVzp49y7Vr19i7dy9paWlcuHABKBCoiY2EOMQW91VaF2zRzdpSmCtQb3x+/fVXdDod8+fPlxN0b1HU4kG4sTk+f/48//zzj9LxF1AKc+68807atWvHAw88gLOzM/b29hof16BBA+6//35Wr15NVlZWoc6S4priv4oKcwUHDhzg9OnTyvX1ej0GgwFfX1+cnZ0r9DcJCQlh69atwI3iuuzsbCnMLSd79uxhxYoVgLZg1tbWlvz8fDw9PXnnnXe44447lIMLYYvFHXxbrqMmk4k2bdrwzDPPMGrUKJYtW8b+/fsLFRCL4s38/HzeffddnJ2dFcGO5fOLRHpgYCCBgYH06NGDnTt38t9//ykHL3q9XmPL6oMaQHN99fQ28fi+ffty1113MXPmzMr+mSXlQPiX2NjYKpmYK35PnYROT09XuqcbDAbc3d2xs7PTFKQLO1E/DiAwMBAHBwflwBNuxMDCviorzBU4OjoycOBAunXrpiQk5eG4RI0U6EoqgxDo6nQ63n77bY1AV71/FgLdJ598ssiJYsUJc4WPVBdIvPHGG4wbNw6QRbi3KkLksmzZMtLS0hSbEvsAV1dXFi9eTEBAgLJmVjVqWyvLOloWga6lCEkKdG8u9Ho9Tk5OODg4AGhyiHq9Hjs7u3LbpmXMeOrUKd59910uXbpESkpKoQIQgfC1wpbEvai/r/bL+fn57Nu3jwYNGuDt7U2jRo0q9beQ3DxUVqBb2sRcsV8yGo34+fnRo0cPRo8ejY+PD/Xq1dPcS0ZGBrm5uVy9epWLFy+SlJTE/v37SU1N5fz580qBJ2hFaGqxkCV6vZ68vDz8/f1Zu3YtDg4OZSq+l1QNCQkJJCcn07Zt20I/u9kEunAj7p0wYQJ//vmnJidvY2NDVlYWR44coV27dnK/LQEKcuQBAQE4OzuTkZGhOX/cu3cvW7ZsYezYsRW2l9IEuiJ+Vgt0jUYjc+bMwdbWtkhhrrhHKcytHdjY2PDBBx9gb2/P2bNnyczM5OTJk1y5coWYmBjOnTuHwWBQJslaniuq12Xx3gosRb7qXLh4HpFPTU9PV85SAOrUqYOdnR3t27fHw8ODli1b4u/vT926dfH399fEwZbF5hUR7agFui+99BKBgYFMnDhRec3SNquf6hBLQMGUbyFqFL5N2JO9vb3yM2shbNPT0xMoaJotvh8dHU1UVBQtW7aU630to3379gwfPpzg4GCysrI09pKZmcnOnTvp1asXbm5uJdqmiDfj4+NZsGABp06dIicnByjYY4tzG/W0MigoPhe/l5iYyJdffklERATTpk0jMDBQaapQHvtR1yI9//zzXL58mR07dij1IupmDOvWraNRo0Y88sgjlflzSipAaaJHdX67qoS5QhxhZ2fHH3/8gdFo5KOPPqqQQNdkMhU7QVcKdG9OSpuYW5yNij1HSU0oazLHbTQa8fLy4vPPP+f//u//2L9/P/v27VNei729vaYGRDzGsr6jZ8+e3HnnncyfP7/K7lVSNmSsKWPN2oSws9jYWI4dO8Z9991X5b6tJPGjiEPVMYb6MRUV6IrHd+/enY4dO3L27FnldcINGz116hQhISHK2ay00ZpFrGV5eXlWbyRQHKUJc0Hb8E291lZEoCvstU2bNjRt2pTY2FjlWuJ6ISEhXLp0CW9vb5kjkkgkEkmVIqsNJLUeGxsbGjVqRIsWLTh79ixQ0OHeaDSSkpJSrsSdOrjavXs3//77L7/88ovyc/UmWmxGLJMt7dq1w93dHVdXV+zs7AgODiY1NZXr168XWWD8xx9/0LJlSx555BEZ2N0EqCfmTp8+nZCQEHx8fMjOzi52k1IegW5ubi4HDx7k/fffVwS6artQT9NzcXGhbdu2SnHSzJkzsbW1JSQkhNjYWIKDgwkJCSE5OZnLly9rhLiWRZaWwlt1F2z1a7D8Wr3xWb9+PWlpabz22mvUr1/fKn9vSe1A+Mb09HSCgoLYuHEjQUFBys+FoBtuTIE2m8388ccf/PHHH2zbto0ePXowbdo0GjZsqDymTp06jBgxggMHDnDy5MlCk0zUh5HDhw9XhLkiuVke8vPz2blzJ1evXgW0hwLTpk1TkpblpXnz5ixcuJBvv/2WsLAw3NzcWLt2rRTmlpFLly6xfv164uLigAJ/I3xs/fr1+frrr2nXrp3mceVNzgnbrFu3Lp07d+a7775j8eLF/PXXX6SmpmrWZMsJuq6urvTv379Q8kXcg/j+Aw88QN++fbl48SKrVq3i0qVLXL58WXMfan8r7kt0B4Yb/tTb2xs/Pz/Gjx9Ply5dlAnUMvlTfYiJuQ888ABpaWkaYa7adzz99NNlFuZaCiTS09M5duwYhw4dIjQ0VJmYk5ubS35+Pj4+PjRt2pSOHTsyaNAgmjVrhrOzc6FGLiaTCScnJxwdHcnNzdUUyInCN2sIcwVOTk44OTkp/5aJcoklUqArqQwODg4MHDgQoJBAV+yZihPoqifqFCXMBW3898YbbzBhwgRArrG3KmKtS05O5uLFiwCKLzIajdjb2zN+/Hi6d+8OVM2aVtR6W1Q8KSjOFssi0K3p4iVJ5bCxsSmUTxIN3E6fPk2zZs3KXPyofq9Pnz7Nvn37+PLLL8nNzVWeV/yeZbNBsS+pV68ederUwc3NDYPBQEpKCnFxcZoCNHVubPPmzXTv3p37779f2tptRFECXbEfKUmgqy7yKE6YCzfykj179mTRokU0bNiQOnXqaHKRNjY26HQ6nJ2dcXFxwdPTk06dOgEwY8YM7O3tCQkJ4erVqxw/fpyTJ0+SkJBATEyMRjAEBWJ4tXhYCnNrB5cuXWLq1Kk89dRTRYpz4eYT6JpMJry9vXF2dlaaYqqnN8fExAByvy3Rctddd3HPPfewYcMGJbcobHvHjh0MHjwYV1fXKhHoqs+uhEBXNGr977//OHHihBTm1nLMZjN16tQBUNbKXr16ATfW26SkJHJzczl27BhxcXGcPn2a8PBwcnJylLy95bmNEIWpp9lbnjFaisyEDYm9e05ODllZWRw8eFB5jPDLzZo1w9HRkYCAAFq3bo2Pjw+dOnVCr9fj7u6uPK8lpdmZiGPd3NykMLeGqS6xBKCcJ4rzQfU5lNFoxNvbu1BjTGvh6+uLi4sLOTk5mvP5tLQ0EhMTadWqlVWvJ6kcwgbGjh3L2bNnWbt2baHmQX/++Sft2rXj4YcfLtZu1MLc6dOnExUVpTkfEjaofl6xlqrvRfhW8dnYtm0bCQkJTJ06lcGDB2Nvb1+hRgXi/hYsWEBKSgpHjx5VfiYagDRr1gxXV9dqLdKXlD4xt7qFuWL93rp1K1lZWXz55Zfl3kMJmy9ugq467y8FurWf0oS5JU11VjcVqI05brHvqVOnDrNnz2batGn8+uuvHDt2jP/++4/c3FzFT6v9tcFgoGnTprRt25aRI0fStWtXpVZOxpk1h4w1ZaxZm1D7zkmTJuHo6Eh+fj4PPPBAlfm2sogfRYzh4OBA3759OXToEBkZGUpuRzxPeQS64potWrSgS5cunDlzRlO/ZDabuXjxIgcOHCAgIECu8TWMyM9ERESwYMECFi1aROfOnav0mqXFnlAgIBfxgLo2vaICXbPZjKurK48++iiPPPIIubm5yn3Y2tqSmZnJp59+ysqVK+XEe4lEIpFUKbLiQHJTkJeXR926dQFt0aLRaGTVqlV06NBBOawrDvEYUST0wQcfEBQUpAhrxOZEbBTUIjKxeb/nnnvo27cvPXr00ARpMTExXL16lTfeeIOwsDBNIZx66mjfvn3x9/evij+RxEqoO9/NmDGD4OBg7O3tyczMJDExscRAv7ICXcuppZaJb7PZjIODAzqdjsDAQLp06aKIcNLT0zl9+jRJSUkEBQWRmJjIhQsXSExMVDY24jlEcZso8lAnFsXrsHxNJpMJBwcHcnNziYiIKPXzJrm5UB8ifvTRRxw7doyYmBjFZ1oWNYpEjbCfU6dOcerUKc6dO8eHH36Ih4eH8rt+fn48/fTTzJs3j7y8PE3CXm3v7du3JzExES8vL+zs7MqduFy9ejVr164FtIcCo0aNUgpRKpIMrVu3LoMHDyY3N5d169bx7rvvSmFuGRCJuiNHjrB3716liFe9Lnp5ebFmzRp8fX2tmowU9vz666/TsmVLfvvtN0JDQzWHfyKZk5uby9NPP82aNWvw9/cvVmAhvu/l5UX9+vUJCAggKyuLTZs2ERsby+7du8nKyiI7O1t5rUIU4uTkRL169bjzzjtp1KgRY8eOxcXFRRNHqJOfkuphz549pKWlAdoDNhH7PfPMM8ybN0/5eVmFuZGRkZw9e5YvvviC2NhYsrOzld8Txd4Gg4GIiAjCwsLYtWsXK1euZMCAAfTr1085fBTPq9fradSoEYGBgfz333+agjj1gb01hLkSSVmRAl1JZaiMQLckYa46/pPC3NsDsdb99ttvXLx4UVMEaTQa8fT0ZMiQIaUe1pUXtU3pdDqSkpJISUnh0KFDpKSkcPXqVaXAqE2bNrRs2ZJ27drRoEGDEm2xLAJdMR1SCnRvLsxmM05OTrRq1YqLFy8qOScRd+7evZvhw4djY2NTYhwn3l/xHq9Zs4Y///xTEU2qiy7U+wthNzY2Ntx1113ccccdDB06lIYNGyqFRTExMezatYvvv/+euLg48vPzNfu37OxsPvroI3r06IG3t3dV/8kktYiKTNAtTpirFkoajUbuuusuvvjiC00huLpYwvJ7aoTt+vv7ExAQwNChQ4EbE1hPnjxJXFwcu3bt4vr165w5cwaTyaQpsJTC3NrB5cuXmT59OklJSZqmbkWtZSUJdNVrY20Q6Or1enx8fOjQoQOHDh1Svi/8f2JiIiDjVEkBwk7HjBnDwYMHiY2NVb4PcOjQIaKioio9caQ8E3SvXr3K8uXLyc3NlcLcm4CibEJ93iiaQ/r4+Cg/NxgMXL9+nZCQEK5fv66cCSUkJBAREYHZbCYvLw9AU9grYgH12aK6EFc9addyIo9asHblyhUMBgPnzp1T7qlevXo4ODjQuXNn6tevT6tWrejQoQNOTk60bt1asVU1agGcuJ6l35e2Wf1Up1hCvO95eXnKuaZA2GO/fv1wcHCo1HWKo0mTJnh7eytNw6DA34r4Rubraw+iPsLGxoaXXnqJy5cvs3fvXuXn4r379NNPadmyJQMHDiyy8ZqNjQ0JCQk8/PDDREVFKftx9fQnKGh2AAXNfAXqcyB1TvTYsWPk5ORgMpkYOnRohfYqwg82adKE2bNnk5aWRlhYmHJvvr6+TJ48mfvvv18Kc6uRyogerS3MFYII0RAmPz+foKAgoqOjNfFCWSlNoCsn6N4cCFuLiopi6tSpGhsV/qw0Gy1rE8qaynGL59Xr9Tg4ODB16lSmTp1KXFwc0dHRnD17luzsbFJTU6lbty4NGjSgWbNm+Pv7Y2Njo4knZH1HzSFjTRlr1iYsfWdKSgo2Njb88MMPmEymKvFtJa3vwk+LM3RHR0d+++03WrVqxSuvvMJff/1FVlaWUr9ckQm64vtz5szhwIEDyhmteq349ttv6dOnDx07drTKa5aUH7Vtzpo1i2vXrvHCCy+wZMmSKntfShLmWk5zdnR05PPPPyc0NJSPPvpIc86pbuRRVoGuuG7Lli3x9/fn2LFjmvNYnU5HVFQUJ0+epE+fPjKXKZFIJJIqQ1YdSGo9ZrMZe3t77rvvPo4dOwagdEUHCA8PVwrZHBwcNEGeCKLE92JiYti/fz+//PILp06dKjRBAgo66Yvnb968OQEBATzzzDN4e3trDvVEorxx48Y0btyYNWvW8PzzzxMUFKQJFgFiY2MJDQ0tVvwjqR2oJ+YGBwcrgX5ycjIRERGldh2zlkC3uOe2/Fo8Z926dRUB4ogRI9DpdFy5coWkpCTCwsI4cuQI8fHxHD9+XEkcQcGhufrQSAjU1Qfmer2e3NxcOnfuzOrVq5WCDLlJufkR73t0dDRPP/00p0+fBtAkYdTNDSw7nonv29ra0qJFiyK7S/Xq1YsPP/yQp556SrOZVtvZkiVLiI2NZfTo0XTq1ElzQGqJ2vZyc3P58ccf+eijjwBtF7imTZsyaNAgZXNeUb/r4uLCiBEjGD58uNIoQlIyer2e6OhoPv74Y7KzsxXfJ9bbevXq8cknn+Dr62v1QklxLb1ez/Tp03F1dWXdunUcP35cc8Atkjk5OTksXLiQzz//nGbNmhX5nMJ2xP+dnZ1xdnZmzpw5ADz66KPk5uYSGxvL9evXlUN2Dw8P6tevj5OTE15eXsrzqScMqJ9XUn307duX4cOHs3XrViURJ96HevXqKYfPpR2sqf3Rf//9x+rVqzl16hTp6elK0YR6og9oYwVx6L1jxw62b9/OsWPHmDJlCu3atdOszZ07d+bYsWNkZGRgMpmwt7dX1nIpzJVUFUXtqwRSoCupDKUJdMUeTAh0H3vsMVq2bMmFCxcKCXPV0yVACnNvJ4SPunDhgkbsJdbb8ePHExgYaLXrWQoj9+zZw/nz5/nll1/Izs5WhDZF0aFDB7p27cqjjz6Km5tbsbFvWQW6ltMFdDodY8aMqbLu7JLKIfxUYGAg27dv1wgaALZu3Ur37t0ZP368InJQF+mqv5ednc3x48fZtGkTmzdvVq4h9jhqAYTYU3t6euLj48NTTz2Fv7+/Zk8rJuQ0btyYqVOn4ufnxw8//EBQUBB5eXnodDplD5+QkMDvv//O3LlzpX+9zSirQPerr75SppY/+eSTJQpz+/Xrx8qVK4GKrdeWe3Tx/PXr12fw4MEATJgwAb1eT3BwMAkJCezbt4/z58+j1+tZvXq1FObWMOpCSoCzZ88CJQuobhaBrvDFYoql+vsAycnJmn9LJMI+27ZtS5MmTYiJiVH2R6JJxooVK/jwww8L2VV5KesEXZ1Op+y3RHwthbk3F+rmRQLhn4QNeHh40K9fPwDuv/9+ADIyMoiNjSUzM1M5VwwNDSUiIoL8/HzS09M1/ksd1xZ1D+pzJHVuVORj1X76+vXrmEwmtm/frjyHg4MDNjY2+Pn5UadOHTp06ECbNm1o1KiRMoXH0dFR85olNUt1iiWg4H3fs2ePMh1UnFsKG2vRogVg/dy5yEGIM0gRGwvR+NGjRxk1apTVriexDqIWws7OjpkzZxITE0NERASA0qjCYDDwyy+/0KJFC8V+BHq9nrS0NF599VXCwsI05zjCv9rb2zNw4EBatGihnPWYzWZOnz7N1atXlTyPmBZlNBo14sUzZ87w888/06BBA7p3715hu7WxsaFnz56MHTuWNWvWEB0drQhzx44dK8+8q5HSJuZWpzDX8rpCHPHjjz/i4+NTYV9ZkkA3Pz+/SIGuTqejd+/ecg2vJQgBz8SJE0lJSamweLysAt2amqArUOddGzZsSMOGDenWrVuxv1/S0AtJ9SFjTRlr1ibU4sfJkyeTlJSkDL4JDQ3lxx9/BKzr20qbmKuuQRLru6h1XrhwIXq9ni1btpCVlVWooVZZBbri3y4uLrRr105pSqtuvpCXl8fx48elOLeGKMo2nZycuHz5Mk899RTLli2z+ntTXmHujz/+SEBAAG3btiUjI4MVK1ZoaorV+f6lS5cCZZug6+3tzbBhwzh27JgyXEXkphISEti8eTN9+vSRuUyJRCKRVBmy8kBS6xFBW/PmzZVCM3FIDBAXF8ePP/6Ig4MDd911F3Xr1lWCMxFEXbt2jXPnzrF06VLi4+NJTU1VEu+AcuCsLuqFGxMXx4wZQ+fOnXF0dCyUbLEU6rq5ufHRRx8xY8YMzp8/r9ynCBTXrl3LvffeKxPdtZxt27Ypwlz1hLrMzMwyPb4qBbqWFFVYJB7ftGlTfHx8CAwMZPz48cCNiX7Xr18nKCiIq1evcv78eaKiojAYDJrJLeLzIOw3Ly8Pf39/Wbx2iyHs8cqVK8oBpNiUCrtXF1oI+wAK2UfXrl155plnsLe319iw+Pree+/lzTff5LXXXtNsptU+8v/+7/+4cOECQ4cOZdq0aYWKOC0L4o8dO8a2bduUhJY43BTcd9993HPPPZr7qChFiY4lxZOXl8cPP/xAamqqRjBtNBpxcnJi/vz5iliiKgok1YnNUaNG4ezsjJ2dHYcOHdLYk0hOXr58me+++46nnnqqQpPBhfC2SZMmRf5cLWovqWBJUn00bdqUe++9l+DgYGJjYzWNWVJSUvjjjz8ICAjAx8en1I6QcCO5+Pbbb5ORkaHEquL5LKdIqCdLiGSgKErbsGEDUVFRPPDAA9x3331Kl9VHH32UrKws1q9fT2ZmphTmSqoc4StTU1MVHyoFuhJ1sYJ6PauI4KE8E3QdHBwYMmQICxYsUIS5Yt8uhbm3L6Ih1cGDBzWNNvR6PU5OTkrzKmvYgniOvLw8goOD2bp1K+vXr1cK221sbDQFGepC8/z8fM6dO8fZs2cJDg5mypQp9O/fHw8PjyLX7ooIdBcuXIjBYGDChAkyFqiFiPeza9eueHt7k5CQoHwfbsSD69evx9nZmeHDhxdaawFycnK4du0aS5YsITQ0lKioKKBgXy727mqRLkBgYCBTpkyhR48eNGzYUJMH1ev1yoQc8e8ePXpgY2NDXFwcZ86c0RTLmc1mjhw5wty5c6V/vQ0pi0A3Pj6eL774gjVr1ih5cShZmGut/KJlHCKK7XU6nVJYOWzYMM01ZW6z5lBP4bG3t8dgMJCSkkJubm6pk0ZuBoGuWKM9PT0BlHyDyAMI31vdE30ltRuz2UzdunV5+umnmTdvHhkZGRoxY0REBHFxcbRs2bLS8W1ZJuiKexKI81QpzL25EbFlUeufeC9dXFzw8/MDUPL3RqORzMxMUlNTOX78OKmpqWzatInQ0FBNjkDYj4gR7OzsCtmTer8DKPt5daMZdc4oLy8Ps9lMSEgIJpOJAwcOKPfcqFEjnJ2d6dy5MzY2Njz55JOaBpmS6qe6xRKCK1eusG7dOqCgKF34rD59+tC3b1/A+iIavV6vNGI6fvy4Zjo03DhnqIrrSiqPeE+6dOnCgAEDiImJUfwN3PCJhw8fZt++fbRo0UJjswaDgU2bNhEcHAwU7HcMBgPOzs6MGTOGAQMG0Lt370LX7d+/P3Cjody///7L77//TkJCQpEC3aNHj/Ldd9/RqFGjEs+pSsPZ2ZkHHniApKQkjh49yuDBg6Uwt5opaWKuZY1adU3MhaLFEZX1z6LOpCwTdPfs2aPUSw0YMKDC15RYD4PBwMcff6xMfSzqDKasNlpWgW5NTdAV9wjaSebqMy+R6xfIfU/NI2NNGWvWNvR6PVevXmX8+PGkpaVhZ2dHXl6e8l5ZW6BbXvHj6tWrlfXdZDLh7OzMyy+/DFBpgS7ciDNnzpzJ33//rdQ9iVggOzubK1euVOh1SiqPXq/n0qVLTJkyheTkZOzs7MjJycHW1pbo6GiefPJJli1bhr+/v1WuV9o056JE4wEBAZjNZurXr8+MGTPQ6XQsX768WIFuWSboivu47777+Pvvvzly5IgizBXrxqZNmxg3blyJDTkkEolEIqkMsvpActPQvXt3ZsyYwQ8//KAkQgRnz55l2bJlBAUFMX36dNzd3XFzc+Pq1ats376dgwcPKhPzxMGe2CiLwFDdzbJbt24MHTqUSZMmKdcobXKaSB65ubnx+uuvM3/+fNLS0jTFmikpKWRnZ8tkdy2nUaNGyuG0ugAhJCSE0aNHl6mYpzoFupYIOxWPV2+SRce2zp07Aze6YCclJRETE8Phw4dJSkriwIEDpKenk5qaCtwQ2XXo0IG1a9dKYe4thDj8iI2NZe7cuZqO/MIf2tnZ4ejoyN13342zszMNGjQgOjqasLAwIiIiyM7OJi8vD19fX5YsWYKzs3Ohz4fajsePH4/BYGDx4sWazbRagHHs2DGOHj3KgQMH6NmzJ/3798fV1VXZWEdHR3Pt2jV+/fVXTpw4QWRkJFAgzBX/TZgwgaefflp5rTJZXj0I35WZmcmJEyeAAlG3sKt27drRu3fvKvcj6slhgwcPxmg0kpubS3BwsBJHCB+fm5tLUFAQAwYMoF+/flYv2rSc6iOpWdRNA86cOcNXX32l+ES4YbO7d++mQ4cOPPnkk0VOoVPHhb/++iuvvvoqgHJQJ/yOiDfVYl0RI1ge3qiLLpKSkkhKSmLGjBnK9Ifnn38evV7P999/D0hhrqTqUDfvePjhh+nSpQtvvPEG9vb2Ra7z5RXoms1mHn74YSnQvQkpavIOlNwwqCTKKtDdsGEDf/zxhxKfFtWtXQpzb09EAy31Oms0GnF3dycgIACoeNGM2ob1ej3x8fG8//77nDlzhsuXLyvfVxegq5sbqXNO4r/Tp0/z+eefc/HiRWbMmIG3t3eFBbqiaFMctH/66ad07dqV1q1bV+j1SqoO8f4GBgbSvn174uPjFYGLeK9PnTrFkiVLOH/+PFOnTqVOnTq4uLiQnJzMoUOH2LlzJwcOHFCmLUKB3atFFsIn+vn50adPH5599llFBKa+l6I6nYv7ueOOO5gxYwYvvviiZsqvXq/n6NGjnDlzRnY7v00p6wTduLg4xcYs91lVIcwtiqJiEBFbiGaMMrdZMyQkJDB8+HAlrsvPz8dsNhMaGkpkZCTt2rUr9Tlqu0BX2H9MTAyAJh4QhUDi+zJmrZ0UNcW+qhHX8PHxoUuXLgQFBWnW+sjISH7++WdlykllKcsEXUBp/iGFubc+Rb2X6njV1dUVV1dXmjVrBkD79u2ZO3cuubm5yu8bjUZcXFxo06YNp06dwmAwFJoSLs4I1IXl6v2PsDWz2VwolyoETCK3n5CQQGxsLOHh4fTr108Kc2uYoqZBCl/j5eXFN998UyViifz8fPbt28epU6eAgvMos9mMl5eXEjNURRwgfHe9evWUa6jXjJCQENLS0nBxcZFNOWohZrMZFxcXZs6cyYEDBzh79qzmnDwrK4svv/ySXr160apVK0VgeP36dXbs2EFaWhpQIHZ0dXXlnXfeoWfPnkrDZ3UcqP66a9eutGvXjqFDh/Lcc89x+fJlTfMt4et2795N06ZNefXVV4s8pyrr63Rzc+Phhx/m7rvvpn379rIhdTWinlomGhSp89tQ0Khi4cKFSg6wqoS5RU3UUwt3rDVlsrgJumJYgFgndu/eTY8ePaQ4t5Zga2vL448/TlZWltIQUy34Kq94/GYQ6Frer0Cu27UPGWvKWLO2kp6eruxt1fZhbYFueRtvrF69mk6dOmmGoJhMJurUqaMIdLdu3UpmZmaxAl2z2cwrr7yCq6trkfdsNptp3749I0eOZNOmTZqzy9GjR7Nw4cIK/lUllSU3N5clS5aQnJysnIeIPIutrS1Xr15VJuhWVqBb0Ym5at2Gh4cH06dPBygk0FU3qy5NoCuez9XVFX9/f44cOaI5nzKbzYwcOVIKcyUSiURSpcgKBEm1ohYqWHbHLQm1yHH//v2EhYUVmtZz+fJlLl++zObNm3FycsLBwYHc3FzS09OV51GLIKCg+MxsNmMwGKhTpw7PPfccPXr0UDoDi3suy32KYK5JkyY0bNhQEecK4uLiCA4OViY5SmonPj4+1KtXj8TERKBg83z16lWg7Im4mhToqilp2p+zszMuLi74+voqk4VSUlIwGo0cOXKEyMhIrly5wv/+9z8pzL3F0Ov1JCcns2jRIiIjIwsJc+vVq8fcuXO54447FDG3ml27drFv3z5+//13FixYQP369cuUcJw8eTKOjo68/PLLmslPlkVP//zzD//88w+ffPIJTk5OeHt7k52drUwZSk9P1xQhqwviR4wYwRtvvAFUTRJUUjzqhMvp06c1CTxxuDh27Fhlja2O+1ELMUWH/0uXLmkSPTqdjqtXr7J69Wr69eunKZaX3HqoxbPPPvssERER7Ny5U7EJkdj78ssvad26NcOHDy9SNAM3EtaLFi0C0CQ1RWLTxsYGOzs7vL29yc3NxdbWlpSUFHJycjQdh9V+0GQyERkZyS+//IKtrS3Tpk1TRBXPPvssubm5dOvWjSFDhgBSmHszU9R7V9Pvp1qYO3nyZBITE0lLS1NiVGsIdIXAXAp0ay+WdpiQkEBWVhZ///03KSkpREdHk5SUpIjH6tatyx133EHDhg3p2bNnoX1/SZRVoCueUxziSGGuBCA2NpasrCxsbW0VfwMFa31l9q/CdsPCwjhw4ADff/+9IrKBgvVbLcZV56jE9wDN4XdMTAwbN27EYDAwZ86cYgvISyteEp+T/Px8WrZsyZgxY2jQoEGFXquk6hH+7JlnniE8PJzo6GjFT4q18OrVq6xcuZItW7ZgY2ODi4sLmZmZXLp0SXke8b6L5xSiWVHIBjBz5kwGDhzInXfeCZTdL6pt7v7772fjxo0cPHhQeQ6A7Oxs4uPjpTj3NqYkga7wf2I/VFPC3OJQx68yVqg5zGYzDg4O2NjYKNPJxHuTnZ1d5ucpSaCrLtipCYGusC8h2BDxgLi/Nm3aALKBW23lypUr7Nixg06dOtGtW7ciG6BWJQ0aNODee+8lKChIETCK2Hbv3r1cuHBBsaHKUpYJulKYe3ujPn8RCJ9Wt27dIqeJ9evXj4ULF5KUlER0dDSHDx8mISGBEydOkJWVRUZGBlBw7qq+VlHNDcU1xXXUZ/wiRn3ggQd49913C/2upPq4fPlykaIzg8GAq6srGzZsoEGDBoo4yxoIP3T27FlWrlxJWlqastaKc87mzZvTvn17gCo98xFNstRNFXQ6HfHx8eTk5BQ71UdSs4j1tUGDBrz33ntMnTqV9PR0Zd9ta2tLcnIyL7/8MitXrsTd3R2AdevWcfToUaCgyNzNzY2VK1cqE8cF6rXSct2sU6cO/v7+/Pzzz8yfP5/g4OAiBbpr1qzB39+f0aNHV8h+hT91c3Oje/fu5X68pHLo9Xqio6M1E/WEj1T7pFGjRim5v8r4yvJOLbMU7liLkiboij0bwIgRI3jwwQetdl1J5TCbzfj5+fHSSy8p53xin17Rqc5lEehaNtqqSYGupHYiY00Za9ZWRH3E999/z9NPP82VK1c0tejWEuhaa30vr0B3+/btAMUKdHU6HXZ2dvTo0YMNGzYoe/SRI0fy3nvvATJ/VFPY2toyduxYMjMz2bdvH1DgQ6wp0C1NNF6epjDFCXRFc5eyCnTFZ2/OnDls376dq1evKrY/atQo3n//fUDapkQikUiqDqmwklQbIqCJiYlh3759DBs2DBcXlzJtTsXP+/Tpw5AhQ4iKiiIvLw8oOAhUH9ylp6eTnp6uFFqoEzpFFUs2atSIjh078sQTT9C2bVvNzyoShHl7e9O7d2/Onz+vmeQIBUUZktqLXq/HwcEBQDPlJi4uTunIXNaESm0R6Bb1GsX9WeLm5oZer2fYsGFAwUZKCnNvLfLz89mwYQMhISFAQbGwwWDA09OTzz//nMDAQE1xJRRMPRkwYAADBgxg8uTJeHt7A2UXrj/wwAO4urryyiuvkJaWpvhadYJKFOdlZmaSmZlJSkqKUvwuCoTghi2rD7HGjBnDO++8o3lNkupD+Ivz588DaCaJAdx5553cf//9mt+tatR+eMyYMcTHx7Ny5UpNHCH8/L59+/jqq6+YO3euLOK5xVEXGc6bN4+YmBjOnj0LoEnsrVmzhhYtWigHK2qOHj3K0qVLFb+oLhjz8vKiSZMmTJ8+nYYNG9KiRQvF1sLCwrhw4QJbtmwhMjKS69evaxrIiMRgdHQ0v//+O97e3tx7773KGiwS5eJa0lZvHoo6sADtfsby/azOpLBamDtlyhRFJJmamsrvv/+OTqfjhRde0EzgE1RWoCvX7NqFsMODBw8SEhLC6tWrycvLK7SXVRfLrl+/HoAePXrQtGlTHnvsMdzc3Mo0iaE0gS4UFN2Kfb+I/xYvXiyFubcxderU0TTHgBtrvJOTU5G+qjQsbejvv//m66+/JjIykszMTI0wsiibFP5MYDkdVfx+cnIyf/31F40bN2bixIk4OjoWeT/FFS/9/fffilDd19eXCRMmMHbsWOrWrVvu1yypHsQa5+Pjw/jx4/nuu+9IS0vTNDIQ62RsbKxiR+Jxlj4RtLbn7OxMy5Yteeihhxg6dKjyO+X1i8L/6/V6GjVqpPmZiI8jIyMBGYfezhQn0BWom2AJQVf//v1ZsWIFUDPCXEntwcnJCTc3N2JiYjT+KTc3l0OHDtGlS5cy+5faLND9999/OXPmjOZ1iPi1adOmgBTn1kaioqIYNWoU2dnZuLm5MWnSJAYNGkSnTp2qZZ8hbH/06NHs3LmT3bt3a84XIyIiCAkJoU2bNlZbh0sS6Io4WwpzJWqE3bVs2ZJmzZop5wBC5Hbo0CF0Oh1t2rShTZs2yl4/NTWV3Nxczp07R2RkJHFxcRw7doycnBwiIiKUM3woKBgVDY7E+YL4LFjaphDmStusGeLj45k2bRqJiYlK43Q1BoOB06dPM3DgQEWUVdn3SazlsbGxvPDCC8TGxmqa+BoMBpycnHj11Vfx9vZWfr80v1meZnNqfH19cXFxISMjQ8kDmM1m7rnnHuX8VFI7EfvwNm3a8Oyzz/LBBx+QnZ2t+B69Xk9YWBirV69mzpw5mEwmpbhdFJk7OzvzwQcfEBgYWG7bMRgMuLu7s3LlSh5++GFCQkIUW1bb49atW7nrrrvw8PCosEBXUnPExcWRmZmJTqcr1JxCcOXKFf766y+GDRtWYV9Z0tQyscaqxRHqqWVVsX6K2MBSoGtvb09eXp6ML2shIt5q1aoVr776Kq+//jpHjhzhxRdfrJAw1/J5SxPoqvfxUqArEchYU8aatRnh3zp27MiSJUt49tlnrS7QLUn8KOKK8jTesLZAF2D06NH8888/7NixQ67vtQQbGxv69u2rNN4/ePCgpk7dGgJda9smlCzQVX9dkkBXxKCurq7cc889rF69GqPRyMiRI6UwVyKRSCTVgqyCkFQLIqC5fPkyY8aMURJuo0aNKrNAVzzHk08+SXx8PL/99pvyM7FxEKIGdfGPSHKKzYO6kBduCIVmzpxJ586d8fT01ARfFUlUi0BWiDst7zE+Pl7zeiS1j/r16+Pn50dMTIzmwDc8PJyYmBh8fHzK9Xy1VaBbHOrpperrysK5WwPhe7Kzs9m5cyepqaka3+ju7s6nn35Kly5dNI8TtiCK14R9tGrVqkL3MWjQINzc3Pjmm284ceIEaWlpmg26mDopri2K38VrEPeiLmy77777ePrppwFZ7FlT6HQ6YmNj2bVrF0Ch5F2LFi00zQ+q876E7c+fP59Lly7x+++/a+xZcPToUaZNm0adOnWq7f4kNYN4//38/Bg2bBhXr14lLS1Nc0B+7tw5/v33X1q0aKERzly/fp2//vqLuLg4oMDGTCYT3bp1Y8KECfTp0wdPT89C1/X09KRnz54MGDCAkJAQli5dWmyS/vz58/zf//0fzZo1IyAgoMiJpZLaj3piIsCxY8e4evUqx48fJzo6WvGTDg4OdOjQgQ4dOtC+fXsaNGhQY8LchIQE7OzslM9CdnY2v/76K5mZmbz99ttF3ld5BbqrV69Gp9Px0EMPSWFuLSI3N5eoqCi++eYbdu/erQhybW1tCzUiUMeHInY7fPgwhw8f5uDBg/j4+PDyyy/Trl27Uq9bkkDXchqfWpg7ceJEQO6vb1ccHBw0+R1hJwkJCVy8eJFWrVqVeT+tXmOPHj3KP//8w6pVq5Sfi8JMS9sXB4JwQ3Dk5eWFnZ0daWlp5ObmKrGFugmRTqfj2rVr/Pbbb9x11120bNmyWKFQUcVLOp2OzZs306hRI6ZMmcKYMWOkMPcmoU6dOgwfPpyoqCj+/vtvMjIyFLsQuUvLva8o+IHCDQoMBgONGzdm9uzZ9OrVS+miL6iIXxR7abHXV9s+oMS/Upx7e1OSQFe9vxZTV4QwNy8vr0LNEyS3BiaTibp169KrVy9+++03peGe8HtiQn15CxSLE+iqC3aqS6CrbsolXot6P1i/fn0CAgKsfl1J5bl8+TJTpkwhOzsbe3t70tLSWLlyJdu2baNjx448+eSTeHl5lan5UEVRx5gBAQGKSFZdpP7VV1/Rs2dPmjRpYrXrFifQFQJIWVhZO7CMvWrDeyHWdHFfdnZ2pKenc/nyZTw8PBSxhU6nw9XVFb1ej7e3N/379wcgKysLvV5PaGgoiYmJnD9/npCQEBITEzl37pwmDgYUYa6c5ly7yM/Pp379+qSnp5OTk6OZ6AU33ucXXniBxYsXM2LEiAoJEtQIf5WSksJDDz3E5cuXNfkjuOHXnn/+efLz8/n99985fvw4WVlZSvNfGxsbPD098fX1xdHRkfbt2+Ph4aEU9Yp7K6td2dvb4+joSEZGhrTPmxDx3vTt25ejR4+ybds2zf48Ozub3bt3M2TIEIxGozI112QyYWtry7Rp05SJtOW1a2G7YvLupEmTiIqKKnRevn//fiIjI4s8b5LUfrp168a3337L888/T0JCgsYPirzf8ePHyc/Px2w2M3z4cKtO1BMN/sSk5+oQ5grE6xAC3QcffJC8vDzN1HvpI2sWyzVZ2GTLli1ZtGgRERER3HvvvUDl3quyCHTV0/ykQFcikLGmjDVrO8K/BQQEsHTpUp555hmrCXTLMjFXvb6XRfwIpQt01XXDpQl01bWj7u7uvPHGG4C0y9qAjY0NPXr0UP6tFuhWdoJuabYJVMg2wToCXZGLHzRoEKtWrWLo0KHSZ0okEomk2pCqFUmVIwKaqKgopk6dqkxBXLNmDSaTiQceeKBMAl31RKW3334bW1tbtm3bRlpampL8VnfPBa0oSCTQRQDYs2dPevbsySOPPFLoOpWhtMdbHlZKaifOzs4aO7K1tUWn05GTk1Oh57vZBLrintX/l9waCB/19ddfExwcrPhH0d3vueee44477ij1eSpjF8Keu3Xrhre3NwcPHuSHH34gPDxc+bm6yMLympZF8Pfffz+DBw9WDgZEAkFSM6SlpZGXl6dJuogJZmPHjgVqppBbHUe8+eabREVFceLECU1DDrPZzJ49e9i/fz+DBw+u1vuT1ByOjo6MGTOG/fv3c+DAAU2hbnZ2Nj/++CN9+vQhMDBQKSa/dOkSW7ZsIT8/XzOtYcCAAbz++uuKqLIoWxff8/HxwcfHh549e/Lss89y6NAhTSG7uI+jR4/yyy+/EBAQoJnAJ7l50Ov1JCUlsWvXLnbt2sX+/fvJzs4u8nd37NgBQKdOnQgMDOSRRx6hbt262NnZVdl7X5ww12AwYDablcS50Wikffv2Je53yirQhRviuQ8//JDWrVvTr18/q78uSflJSkrit99+Y/v27Zw+fbpQ7KXea0OB+EYtGtPpbkx/jImJwcXFBWdn5zJfvywCXXFP/v7+jBgxQnmsPES5PWncuDFNmjQhPj5eWYvNZjPJycmEhITQqlWrMvtNIdBZunQpQUFBnD17FkBjg+pDdLGHcnd3x9/fn3vuuYfAwED8/PwwmUxkZGRw7do1vv32W3bv3k1KSkqhZnAXLlzg008/5ZNPPilRIGRZvDRt2jS8vLxo2LAhDzzwgBTm3mT4+PgojSl27NhBSkqKZgK0pZ9V+1aj0aj4XD8/PwICAnjuuec0BbqVjRfEXlrch7ogGMDV1RWQfldStEDXsijHbDaTnp7O+vXrGT9+PPb29rL44TZGvO/NmjUDUOJL4d/OnTtHXl6eUshYVmrTBF2dTseZM2cUQbo6fjUajfj6+tK8eXOrXlNSeS5fvszUqVNJSkpS9r/CbqKiorh8+TLBwcF07dqVCRMmaArbrG1Hwn/OnDmTv/76i/DwcM3k0NTUVEJDQ2nSpIlVr20p0J0/fz67du1i1KhRcqpEDWH597aM7yzfi+rMF5rNZhwdHenQoQMhISGaONVsNnPkyBG6dOmiOaMpKkYQzTE7d+6MTqfT5OMvXrxIWloax48fJyoqiqtXrxIaGqrs92Qxeu2hadOmLFu2jFdffZVjx44pMaHYP+j1ejIyMnj99dcBGDFihGaPWx6En0pLS2PatGlEREQUEkuIpm4///wzb731lmKfJeHh4YGDgwN+fn4EBgbi6+tL7969sbOzK9SUQdib2u58fHxo06YNycnJUixxE+Pj48PIkSM5dOgQiYmJSjxpMpk4d+4cK1asUES4YhCBg4MDvXr1qlSzXxGXenh48PHHH/Poo49qBJxijRZiSssBAZLajfB1d955Jx988AEvvPCC5v0VQi6j0UhISIjSKLA8At2yTC2zFEdUhzBXoBborly5kj///FMKc2sQ8TfPyMjAwcGhyLNHsU77+fnh5+eneVxlkAJdSUWQsaaMNW8GhM35+/tbbYJuWcSP5Z1KqqYkga44AxWvqySBrrjH+fPnK3GqtMvaQ1UIdMsiGq+MbULJAl11nFCSQBduNMn57LPPGDJkCCBtUyKRSCTVg1SuSKoUsbm4fPkykydPJjk5GXt7e/Lz84mMjOSnn34CKLNAV100sXjxYlq2bMnu3bs5cOCAZuOhPpQW3zebzbi5ueHh4cGDDz7IXXfdRcOGDQHrBl7i/jMyMpR/qydAenh4aH5PUrsQtiCKZMRmFG50ZDt58qRSbFtem7kZBbqSWw+z2UxiYiKHDx9WCuBE84IOHTooB4tVdW3LRKgQpw0bNoyVK1cSGhpKUFCQJsEpfL9aAOLh4UGrVq2YPn06vXv3VpKWJpNJTt+rIcT7evz4cbKzs5Wu+FAgmK5Xrx5Qc2ug8LP29vbMnj2b6OhoEhISlM+ASOBs3bqV3r174+joKBMztwFmsxlPT0/+97//MWnSJEUgIew2NTWVl19+mbVr1+Lh4UFOTg7Lly8nNTVVmSxqMpkYNGgQS5cu1UyCKsrW1d8TRReffvopb775Jtu3byc3Nxco8GdGo5H169fToUMHJk+eLGOBm4zk5GRCQ0N58803iY+PV6aCAJrYD1AKMQwGA6dPn+bUqVOcOHGC++67jxEjRuDl5WX1hHFpwlx1Z/Xnn39eOSwvKS4tTaArDqJMJhP333+/FObWEmJiYnjttdc4deoU6enpynslitBEh1Fx+AEoBRPqZipi7+vi4sLw4cNp0KBBue6jNIGuICQkhNdff53HH3+cFi1aWOEvILkZadCgAc2bN+fq1avKQbHwo19++SWtWrVSptNZTmBW70sSExM5c+YM3377LYcPH1aeX6zDAvWhd/369WnVqhUvvvgiDRs2VOJcuOFbXV1dcXV15d133+Xnn3/ml19+4ezZs5pDbb1ez8GDB9m3bx99+vQpk2/V6XR07tyZJk2a4OLigqOjo7X/rJJqoGXLlsybN4+WLVvyf//3f1y+fFlTeGsp0tXpdEps6uLiwqhRoxg1ahStW7fG3t5ekwetbKwonislJUXT7FAg90cSNSUJdAVxcXF8/vnn5OXlMXXqVFlMeRsj1rGAgAAlnhT7aYCIiAhSU1PLHT9C7Zmgm5yczLp165SmdSKOMJlMuLm5MWPGDOW+5GegdnDlyhUmTpxIamoqjo6OSk5GiGHVzYdiYmL4888/mTJlCnfccQcjRoxQ7MdaZzdi3XVxcWHs2LEsXbpU06woLS2NH3/8kUGDBlk9B64W6C5fvpxVq1Yxe/ZsQBavVTeWjc3Onz/P8ePHCQ8Px8HBARsbGzw8PLjrrruoX78+rVu3Lvf0pcogrtW4cWPlmlBwnhofH1/qYy0FIKAVu7dq1QqArl27Kr8XGxtLbm4uZ8+eZfjw4cq1pW3WPD4+Prz55pu89tprhUQTwp4rK5pQiyWmTJnCxYsXC+WL1PuX8PBwzRmjyLWLvJWwNZPJxPXr1zEYDMTGxrJnzx4AvLy8cHV1pV+/fjRs2JDevXvj7u6Ol5cXULAvys/Px87OTmlCI8USNyfCFvv168fDDz/Me++9p+Q9Rcy4fft2ZWquyA0NHz6cnj17Vvr6wh5btmzJmDFj+P7775UpqiKeDA8PJzc3V4pzbzLUvq5Xr15FCnTVQqzyCnSLE0cIMa7664qKI6yBeB133323UiclfWT1I/7mly5dYvHixdxzzz2MGzeuWIGuGmvWU5Ym0LXcx0uBrkTGmjLWvBkQNhcQEFBpgW5pjTcsxY+iiUt5baK0CbplFeiazWYlRlXnMyS1g5IEuurmlmUR6JalKUxlhbmC4gS6ojlcWQW6UpgrkUgkkupGinMlVYro5Pz444+TnJys6ZACVFqgO3PmTAYNGsSuXbv4888/iYqKIiUlBShIigMEBgbi5eXF1KlTadKkidKdHapmUxAfH09QUJDy/OoCUXFYKamdCFsQHQDFBllsIGJjYzW/V16kQFdS0+h0OsLDwzl16pRy4COShsOGDcPX17dKritsNz09ndOnT9OgQQOlwEIIOJ555hn0ej3//fcfV65cYffu3WRnZ5OZmUlWVhaenp74+fnRqFEjRowYQd26dXF3d9dcQ26kaw7hm8Q6rE4wms1mWrVqhbe3d40nPMS1u3TpQuvWrUlISFDWaOHrg4ODyc7OrlS3a8nNgxA7+Pr6smjRIl555RWysrKUmNPW1pbIyEg+//xzXnrpJa5fv05kZCSAImDs2rUrixYtwt7evlxrtbiGq6srr7/+OpmZmfz777/K98VBjslkYtu2bQwePJj69etX5Z9DYkWOHDnCn3/+yZ9//klmZia2traFxNmA5lBP7JVEAXBISAixsbGcPn2aJ554QrOPqSxlEeaKPdXzzz/Pww8/DJQtcV2cQFfYtclkkhN4ahFXrlzh0UcfJSwsDEDTwEXdDVot/BL2qz5oMRgMODg4kJubq8RrFSkYK02gK661ZcsWAJ588skqi2EltRfhNwYOHMiRI0eUoh1hk/Hx8Xz33XfMnTuX9u3bFxLmwo11/OTJk3z11VecP3+e+Ph4pYACCuxbrMvCJ95zzz0MHTqUfv364ezsrPmc6HQ67OzslMfb2NgwadIk9Ho9y5YtIzk5Wflsmc1mUlNTOXv2LH369Ck1flD/XBRpSG5emjRpwtSpUxk2bBhLliwhIiKCkJAQZZ1U4+3tjYuLC1OmTKFt27Z069ZN+ZnaP1sDGxsbMjMzOXjwoEYgLGJSsY+X+SmJoCiBrrANtUjn66+/BpAC3dsYYRd+fn64u7uTkJCgfF80vrp27RoNGjSokI+paYGuyWTi4MGDStNBcf8i59SoUSPatGkDyEYHtYmdO3fi7e1NamoqOTk5gHbSg7qxingvf/rpJ37++Wf++usvxo0bR0BAgFWn2Av76NWrF1988QUZGRlKjGpjY8Pp06fZsWMHQ4YMsfp6rBboSmFu9aNuIpSfn88XX3zBwYMHOXnypPI76n362rVrcXR0ZMyYMfTt25fevXsrk5uqsoGpsAlvb29A21zVbDZz7NgxcnNzsbOzK5ftFHXP6mLfRo0aASjNlaVt1i6aNWtWZaKJksQSAvVnQy0CF2uymHKmFrKLa4vfETGqjY0NSUlJJCYmEhERAUC9evVwdHSkU6dOtGnTBj8/P+644w4cHR2xs7PD3d2dBx54QE6DvEkRa75er2fWrFmEh4fz66+/YjQalYaFJpOJ1NRUJS6AG9P8wHrvt7OzMwMHDmT16tUa/2djY8PFixc5duwYAwYMkPvxm4yyCHTVgp2yCnTLMlGvqoW56kaeQIkxiOU1pY+sXsT7HhUVxZQpU0hOTiYzMxNHR0fuu+++IgW6VUVZBLqWwhsp0JXIWFPGmjWB5d+5tL+7NQS66lizrOt7RYS5gtIEumrBsBDo6vV6Xn75ZVxdXUtt7iCpHVhjgm5ZJuZaO/a0lkAXZOwpkUgkkupDinMlVY6rqyu9evUiPT2duLg4AKXQFyou0BW/07RpU6ZPn859991HTk4OkZGRJCcn4+joSL169bCzs6N9+/ZKZ0uBusOPtRDBZGJiIhkZGZqNk8FgoGHDhnTs2NFq15NUHSJQF8kVcaB95coVoHKJjooIdEWSXgp0JZVB2M6RI0cUYYOwOScnJ6XA19o2Jj4v8fHxrFmzhl27dtGrVy+ee+45pdO7OqkjJuhNmzZNeXx+fn6p4g75uahZhC1dvXoVQNPxF6BOnTqaiaI1idlspn79+sybN4+DBw9qEuW2trbExMSwb98+Ro4cKX3ubYKIEbt3786oUaNYv369Yhfi4OXAgQMcOXKES5cucenSJeCGnTs7OzN27FhFJFNeexEJTxcXF959910efPBBzpw5o/hocXhz7NgxLl68KMW5NwmbN29m1apVhIWFkZ+fr0lKq/2K+t9qAYyIBW1sbEhMTGTz5s14enqyYMECqxRYliTMBSolzBVYCnTfeecdTpw4QX5+PiNHjpTC3FpCeHg4s2bNIjExUdPdWd3s6q677qJRo0bcdddd1KlTB0dHR1JSUoiNjSUsLIy9e/dy/fp1MjIyyM3NRa/X8+qrr+Lj41PhdbQkga66QEMKdG9fhN/o06cPLi4uSkM4UTiZm5vL7t27uXLlCo888gjdu3fHzc2NvLw88vPz2bx5M8ePH+fPP//U7PvVE0vV3adtbW1p3bo1999/Pw899JByH2ofZmnr6sl4EyZM4MSJE2zcuFEj1jEajfz1119MmDABV1dXGXfeZtja2uLt7c37779Peno6R48eJSkpiYsXL2Jvb0+DBg1wdnamV69eODs74+LiojxW2FZV7N0TEhK4fv268pnQ6XTk5+djb29P27ZtAbn/lmgpTqCrLjiKi4uTAl0JJpMJR0dHGjRooBSjiw79+fn5HDlyBH9//wr7mJIEuqLIyNoCXWHHkZGRrFixgtjYWMV/6vV6Ja5+/PHH8fHxqdA1JFXHzJkzmTp1Kr///rsyES87O1v5ubAfUWirjhd37txJcHAwDRs25LnnnqNly5Z4e3tbbY1s164dc+bMUabnCuFQRkYGR44cYciQIVWyHqsFFiCL16oL4UsyMjLYs2cP69ev58CBA8rfX73XEfv2vLw8cnNzWbVqFX///Tc9evTg9ddfx8nJqUrvVdyTv78/Tk5O5OXlafZRWVlZGI1Gq0x3LG6vpf6ZpPZQFaKJ0qaYiVoPdRMFdRwq/q8WRkDB+b96/2/ZiE48Tvje1NRU4uLi2L59OzqdDk9PT9zd3QkMDKRXr16MHDkSkLnOqkL8XbOzs7GxsbH6eaN6/zt+/HjCw8MJDg5W8vSAxtfZ2toq5+rWfL87d+7MxIkT+f7775XriXNWUWsl9+M3H9YW6NYmYa7ZbGbRokU8/PDD+Pr6VnmTEEn5Ee9JVFQUkydPVvLop06dUpr13nfffeVuQF0ZyiLQlRN0JZbIWFPGmtWJ+DvHxMRw+PBhRo8eXSbfYy2BbnHiR2tNJVVTkkDXMv7Iycnh77//JiUlhaVLl1Z5/kFSGLGu5+bmlivvUpkJusXFniLeBOtNzLWkOIGuaNgtvl62bBk6nY5x48ZpBv1IJBKJRFLdSHGupEoRAdaLL76Ik5MTv/32G4mJiYUKyCoi0FVvaHU6HW5ubri7uyudc4vCshDe2ohgcuXKlSQlJSmvUWzQfX19sbW1lRvlm4B27drh5eVFamqqIowBOHfuXLk3N0VRXoHugQMHpEBXUmmEzZw9exZASSgajUbq1aunTMCpiuLey5cv88477xAcHExaWhrx8fHcd999dO7cuUh7Viel9Ho9Dg4Oyu9JH1q7EVMmxHso/F1tEeZCgQ/u2LEjvXv3Zv/+/UoTBpEMv3DhgvK7ktsHLy8vhg0bxuHDh7l48aJSpAs34tXvv/9eKbQU8Z2Hhwf9+vWr1GGzuI6bmxtLlixhxowZxMfHK0l6kVD86aef6NKlC/b29tI2azFr167lww8/VPyh+rBOfK2eKiJQN6qwpEOHDowZM6ZahLlqYWZFhbkCtUB34cKFPP/88wQEBMjOvrWEK1euKMJcddMWg8GAs7Mzffr0YejQoQwfPrzE50lOTubEiRNs376d7du3M23aNLp161bpPUtJAl1RjCwFurc3ZrOZ5s2b8/TTT/P6669rCndEwebp06d5/PHHadOmDW5ubmRmZpKfn09YWJjio9TFFlDgu8TEKltbW+bPn0/fvn3p3Lmzcm3R7bwk1JOrHnnkEYKCgkhOTlb2YQCJiYnk5eXJtb2Wot7TlPYelXddUz9v3bp1GTBgQJnuBapGjCCe8+effyY6Olq5R7E2tG3bFi8vL7l+S4pECnQlZUGv11O3bl26devGmTNnNPshgGvXrlX6GtU5QVc8JiMjg4ULF3LhwgVNY1mx1k+bNo3+/ftX+rVJrIvwT/b29owfP55BgwYRFRXF8uXLuXTpEpcvX1aEuUXFi4Ay7Wb+/Pl0796dgQMHMnnyZMW3VVaccMcdd9CwYUMlRwQ37O6nn35iyJAhdO/evfJ/CEmNo278vHz5coKCgoiKitIUgos8jfAr6hyO0WgkNjaWTZs2ER4ezjvvvIOfn1+V7y+cnJyUfY26AZFoNhMQEFCl15fUTqwpmihNLCHsX5wbCh/t6OioFAbn5ORopp6J+FMIysRZvPi/pZBC3YRdPfHMzs6OxMREEhMT8fPzU8QSJeV3JRVH3QzlrbfeYuzYsQwePNjq547CBv39/RkyZAgXL15Upoapf0fkJZ2dna16ffE5sDyvFzHFuXPnNL8nqXks97MlvTfWEuiqB1DUBmHuzJkzOXz4MKGhoSxdupSmTZvKfX4tw8bGhoiICGbPnk1SUhJ2dnbK2nj27FnWrFkDUGsFumrhjRToSmSsKWPN6kBd5yhyPHl5eUyYMKHKBLomk4nx48ej1+vZuHGjIpJVT3GuKvEjlC7QFcJgo9FIVlYWXl5eUphbA4h9SGRkJC+++CLPPPMMvXr1KvPjKyrQrenYszSBrr29PXl5eXz88ce0bt261LNWiUQikUiqEinOlVQp6g6+Tz75JIBVBbqgTUqXRnUkkLZu3crx48c19yMC0dGjR1s9SS+pGurUqaOIFNSCbhHUWwMp0JXUBHl5eaSlpQHaJgfC3vV6vVW7mer1es6cOcOsWbNIT08HbmzQ09PTeffdd/nqq69wdXUt9Dj1wZL6e+I5JbUPYTciASeaGliKc2uL7xIF8F26dGHfvn1KYl0Unp84cYK8vDxsbGxkh9/bjB49ejBjxgxF5CMOT4xGI0FBQUqhLdywo0mTJllFpCDW/caNGzNjxgw+/fRTpcugWiBclknikprju+++44MPPgAK1iu1iFDsC3x9ffH09KRFixbY2dmRmZnJ4cOHyc/PJyEhQbEHk8lE69ateeqpp5SinMpQkjBXLQSHygtzBWqB7tdff600U5KH5jVLbGwsjz76aJHCXA8PDxYsWECPHj1o0qSJ8hj1eya+NplMeHh4MGjQIAYNGsT48ePx9va22tpZkkBX3LMU6N6+iJiyd+/ejBgxgi1bthTaSwu7Dg8PV+JTYcfiINyyCzrciFnd3d1p1aoVCxYsUES5UH7/JT4Pnp6eODs7k5iYqNnbpKWlERUVRf369Sv/R5FUGsv9inq6hJgQnpaWhk6nw8vLC1tbWzw9Palfv36hCSZlsZWi9kbF7ZmqYx+1f/9+du7cCRTEpyI26NevH3Xr1q3ye5DcvEiBrqQ0hH9r0KABUHB+JDhy5Ai5ubnY2dlVyiaqY4KuyBfk5+fzyCOPcPLkSaUxq3qqWmBgIEOGDCk0jVRS81g2AHZ3d8fDw4OPP/6Y6Oho1q1bx549e7h69aqSNxeoRTq2trbk5OQQFBREUFAQ//33H926dWPSpEmaqfcVyYl269aNXr16sXHjRuWzImz02LFjdO/eXfrQmxzx/sXGxrJo0SJlerPYm6h9ZFENTkVOW+x9Tp8+zXPPPcfrr7+uTHSsCsxmM02aNKF169acO3dOKTw3GAwYDAZiY2OlOPc2pijRhHoSeVlEE6WJJdQ5zMaNG9O8eXNGjRpF48aN8fDwwNnZmYyMDGJjY5XGXREREcTGxnL27Fll0hAU+HQRC6jjE/V9ic+curHh6NGjee+995TnqQ1nX7caanHEtGnTSEpKIjMzE3t7e+6++26rC3SFGGf69OkcOXKE3bt3a0QRAoPBQEZGhlWvLeynb9++1K1bl+zsbE0T+fj4eM3vSWoWdXONmJgYOnXqVGpzt7IKdIU/KkmgW9zUsuoU5s6YMYMjR45ga2tLSEgITz75JJ9++ilNmzaVE3RrCcKmXnrpJeLj43FyciInJ0eTp5ECXcnNhow1JVWJOvacOnWqMm3822+/xWQyMWnSpCoR6K5du5Z69eqRnZ2tiGPVNRxVvb5DyQJd9X2PHDmSt956C5B2WZ2I9zsqKooZM2aQkJDAG2+8wZtvvlmu/E9JAl1RfyEEuk8++STLli0jICCgkDBX+MvqsE0oXqBrNpsVnzl06FApzJVIJBJJjSNPgyVVTnUIdGsL8fHx7Nixg8TERABNV6uWLVvSqVOnGr5DSVkwGAw4ODjQpEkTYmNjNUnuuLg4wsPDrfZeSoGupDoR3dwyMzML/cxoNJKfn2/1Q8y8vDz279+vCHPF1Ai9Xs+1a9e4dOlSlW3MJdWLeA/FQZvo5CySzdHR0WRmZlKnTp2avE0F4T/79+/PDz/8oBxyiwP26OjoKvlMSGo3wi4mTpzIxYsXWb16tVKAKeIBkSgXCT51UXFlEde58847NUl9cc3IyEhOnz5Nz549K30tifX54YcfFGGuumBHHKI5OTnh5+fH6NGjuffee/H09NQ8PikpiaSkJD7//HNOnjzJ/7N33nFZle8ff7O3oKCgguDeuLeWmVlqjtTc28yRZlrZtKGZaanl+GaZI3GlmVrZsHKk5gLciANlCIIgAiLzGb8//N2Hcx6GIFO8369Xr/AZ55znOddz3fd93dfnumJiYvDw8GDMmDG0adOm0IkMD+qYWxzCXIGYrwphrqzsW7rcuXOH+fPnc+XKFY0IQafT4ebmxv/+9z/NeienDqFqcSNk2VdxJP8+qIOusF0p0H188fT05IUXXiAmJgZ/f3/NWlotDBOou9mpu+eKTW64L6QZMGAATz75JO7u7hpf+DD+S6fT4ejoSO3atQkLC1MS7Q0GA+np6SQlJRXNlyF5aEwF2hcvXiQmJoYff/yRO3fuEBoayp07d4CsQkRWVlYYjUaqVq1KtWrVaN68OR06dKBmzZq4u7tnE+vml9KK8yQlJbFv3z4iIyOBrMr9ZmZmeHp6Kr5YxqIkeSEFupK8UAsOVq1aRWpqqkbIeufOHTIyMoqkIFVxCnTVyT/jx4/H399fI8wVn9PZ2Zl+/frRrl27Qn8eSeGJjo7mypUrtG3bVmNj6uKsRqMRR0dHGjRowIcffsj58+c5e/Ys3377LXfv3uXevXuKHantSV0U5sCBAxw8eJCffvqJCRMm0KRJE+rXr6+cJ7/+Trxu9OjR+Pv7ExERoUnY3bp1K4MGDcLNza14vjBJsSPucUREBFOnTuXKlStAVuFSEX8UvkmdtA3a2JNavH3lyhXmzZvHihUr8PLyKhZxjLBnd3d3zp8/r/xb+FYhIJM8vhSmq5kYp3MSS4A2htmnTx8GDRpEixYtshWIdXd3V4odPvPMM8q1Xb16lYSEBA4cOEBsbCxnzpwhNjZW2TtVd01XdzwTgjnxWN++fRWxhJzLFh/m5ubEx8drOj6ePn2aVatWARS5QFfEa6ytrfn0008ZMWIE169fV+692hcLOyxqbGxsNF301LErSdlA/OZDQ0MZOXIk9evXZ9q0abRo0SJfAl1BbgJddWFMIdA1Go307t07x456mZmZSke70hDminMEBQUxY8YMlixZIuPzZQThQ1auXMmYMWO4du2aZm/lURLoqrvkSYGuRM41JcWBWpg7fPhwbt++rXTkDAsLw8/PD71er8SzH0RBBboLFiwgKioKKNnCG2pyEuj+8ccfSs5n3759lXwYaZclR062aWtry/Xr13n33Xf59NNPi0WgGxUVxeuvv07fvn1ZsWIFoI1FqW3Tz8+Ppk2bFqtd5CbQ1ev10jYlEolEUmaQ0TtJiVCeBbrqydzmzZv5/fffATQLZqPRSIcOHYqk25Wk+BEbGw0aNMDf319ZEBuNRlJTU5Wuo0WFFOhKSgpzc3McHBwUcaS66npiYiKpqak5drEtDKJy8YEDBwgICNAkkkRFRfHTTz/h6+srF8XlCE9PTyC7OFdUkC4r/kpcR7Vq1XB0dFSCiUA2cYbk8UHd4WzYsGGEhIRw5MgRZRyGrCrDlpaWWFpa0qBBgyK/jiZNmjBkyBDWr1+vnBOQyW1lmO3bt7NgwQIgZ2Gui4sL48ePp2vXrtSrV095X2ZmJlZWVhgMBlxdXXF1dWXZsmXs3r2bw4cPU7VqVZ5++ulCFzYQa7GS7JibF2VlLHgcycjI4JdffuH06dNAlm0IYe6mTZvw9vbWrDHyc7+Kuwr+gzroSoHu44uw1U6dOpGRkYG1tTVHjx5V7EL4Y3XXe7UIU530DvfjAB06dGDmzJlYWVlpBGWFQcQZxBpMXI+Ih6m7qklKBzEP3LdvH8eOHeOnn37CYDCQlpameZ1ImhEJFDqdjsjISCIiIjh+/DjffvstTZs2pUOHDrz44ou4urpiZ2dXpjeDxW9i7969bNq0SUkEEnNgvV5PnTp1qF+/PiDHccmDadasmZIUIgS66qJDUqArcXZ2BlAEB3B/PpmQkMC1a9c0HesLQ14CXXVib0EEunklpKtt3Gg0MnjwYIYNGwbIwgalTVhYGP369cPd3Z23336bTp065SjkMRXQNmnShCZNmtC5c2dOnz7Nli1bOHfuHIAy3xT3W/g6sca6du0a8+fPx8XFhXHjxtGlSxd8fHzy7efE66pXr07t2rWJiIhQ7NPS0pLo6Gi2bdvG5MmTNQVGJI8GamHuuHHjuHHjhkb4rdPplLWDl5cXTk5OODo6YmNjw6VLl0hISFA67ALKOAv356uXLl3ijTfewM/PD2tr6yIfY4WfrFGjBpAV/xLrr4CAAEaMGCFt8zHnYUQToghbfrqYjRo1infffTeb787J5oTNGo1G6tSpA6AkL8fGxpKUlMSFCxcIDAwkIiICf39/AE3HM2HPMvG35FGP2WKdev78+WIT6Ir9zUqVKjFz5kzmzp1LXFyc4qetra2pXr26Uri1KBEFrnPan7S1tS3y80kKjlocMWrUKOLi4khKSuL777/HYDDQqlWrBwp0Icuv5NVBVy3QXb9+PS4uLiQkJGiEuaJQTGkKc8W1WlhYcOHCBXbt2sWMGTOK5LySwqPT6ahcuTJ+fn4MHz6csLCwR1Kga7oXJAW6EjnXlBQlOYkfraysyMjIUO57SEgIK1eupHXr1speyYPIj0BX+LibN28CWflqJTG+54RaoCt+A9u2beP555+XdlkK5Gab6enpWFpaEh4ezptvvsmnn35Khw4d8n3cvAS66uKW4eHhijA3L9F4cQtzBUKga25uzsqVK9HpdJou49I2JRKJRFLaSHGupMRQb0rPmDEDMzMzfvzxx1wFuiIZbMCAAWVWoKtO0Pz+++/55ptvALIlgLZo0YLp06cr/y5rn0OiRdyjihUrah4Xi1/RQaQokQJdSUlgNBrJzMxUBD7qxMjExESOHDnCgAEDinyhWr9+fV588UVNQFTYa3BwsBJQlzb8aCNspmbNmgBK0FoIHsLDwzly5Ag9evQoMz7LYDDg6OhItWrVuHnzpiawfvv2bWJiYqRQ4jFE2LK3tzfPPfccV65c4datW0DWeA33faq1tXWRdygRvw8hdBfnFUluN27cKNLzSQrPgQMHWLlyJYCyeQJZFcvd3Nz44osvaNmyZbaqulZWVkCW3YkxuF+/fnTo0AE7OzucnJwKfY2iY/2gQYNITEwsVWGupHQQNnfr1i1+/fVX4uLiNL6lUqVKrFy5Em9v72LpqlMU5CXQVYsrpED38UK9ln7qqadwcnKiZs2abNy4UfFtIilCvB7QJPLY2tri6OjIxIkTad++PU2aNAG0XUMLi/hdJScna44pxozi6rYiyR/37t0jIiKCzz//nODgYG7fvg2gJBYKW1B3Yzbtjqj2qefOnePs2bP8888/1K9fn1mzZlG9enXlfGVlPQRZ1/Lvv/8yZ84cZW4gkjv1ej1eXl688847ynch5weS/ODr6ys76EpyxGg04uHhQevWrTlw4IAiftDpdOh0uiIV50LRCnTzSkhXd1IVwtxZs2Ypn7ms+P3HkbCwMEaMGEFaWhphYWF8/fXXGAwGunTpkquQR+2HjEYjNWrUoEaNGvTp04fdu3cTEBDA9u3blQK96j1BMX6am5uTkpJCSkoK8+fPp3HjxrRs2ZIpU6bg4OCAjY3NA32e0WikQoUKTJo0iSNHjpCZman8ZgACAwOV90s7e3RQJ1aOGDFCs7YV80k7Ozvq169P37596d69u0YAFhERwa1bt/j888+5fv26UlBYjLPCJs+cOcPSpUuZPXt2kY+twj/6+vrm+Pzdu3fleC4BCiaa0Ol09OvXj6SkpAeKJcaPH8/s2bM158rL5oTNqv2k+C26ublRuXJlateuTd++fQEIDw8nLi6Of/75h5iYGI4fP05qairJyckyKb2E0ev1ODo60qZNG3bv3g1k3cfiFOgKm2nZsiXPPvssO3bsIC0tjcqVK9O5c2emTJlCjRo1itwGLCwssLa2xtraWrPXoL4mSemRkzjCxsaG9PR09u7dq7wuPwJd9fN5CXSFHZw7d46PPvqIiIgIIEsQUdrCXLEOEnOQfv36SWFuGUOMn66urmzevPmRF+jKDroSNXKuKSkKchM/ini2usDvyy+/nG9hruBBAl11YxUgW65JSQpzBcKn2tnZ8dZbb+Hr68ugQYMAaZclSW62KeaAwufcvHnzofLZ8yPQhSzfVhrdnHOiUqVKjBgxgrt373L79m0pzJVIJBJJmUKKcyUlijoYIjro5ibQDQ0NVTrollWBrriWTZs25dgpy2g04ubmxvPPP4+Dg4PmPZKyj0gCMl1wBAUFFcv5pEBXUtyYmZlhbW1Ny5Yt+e+//5QAkgj0nDx5kgEDBigBoKKwJ3Gcvn378uuvv3L48GFNN+pz584RGhqqVA+UPNoYjUaqVKmSTcQgbCw4OJgePXqUGV9lbm6OtbU1Hh4eQJYfVosvJY8nYrOmX79++Pv7s3v3bmXTTy3iTkpKIioqCicnpyKza3Gctm3bYmdnR0ZGhmYeIoTCkrLBtWvX+OGHH4iNjQWy/J2FhQWZmZlUrlyZNWvWaLrlQu5rAvUYXNSV9y0tLalSpQqJiYmaTR0pzH08EDb33XffcfbsWY2IzNHRkQ8//JBmzZopCT9lFSnQleSEei3dunVrmjRpQteuXVm1ahU3btwgOjo6x/dVrFgRDw8PBg0ahK+vLw0bNlSeK47kyuvXr3PhwgXNHNPS0hIXFxeqVatWZOeSFIxr167xxx9/sGvXLsLDwxUfqJ77qdcIQLa/xb/VyRp6vZ6rV69y9epVjh8/zuTJk2nXrh1169ZVxL1lYaw1MzPj6NGjTJo0SSPMhaxiRv3796dKlSpF0kVaUj4QY64gt8IezZo1kwJdSTbEvNTHx0eTgCbmcaJLRFHGuotCoPugTlEiId1oNNK/f3/mzp0LyLVVaRMeHq6IH21sbMjIyODs2bNKod28BLoCdVEVCwsL+vfvT//+/Xn22Wc5cuQIv/zyC3FxcQCasVTYsFh3BQUFceHCBY4fP07Hjh0ZOHAgdevWVc6Tk60In1m3bl2eeuop/vrrL+V6jEYjhw8fZuvWrQwdOrTMxFsleZNX0q+wFWdnZyZMmEDXrl018SRhg56ennh5ebFixQr8/Pz47bffFKEO3LcNMZ87fvw4V65coV69esWyh1ihQgUgax4sbPbSpUtER0dTuXLlMh1jkJQM+RVNfPLJJ2RkZODn55dvsURhxlnxPrVfFTYsijK0bNkSuJ/sfPfuXc6ePSuT0ksY4UNEYWB1l04oXoEugJubGy+88AK//vorHh4eDBs2jN69e+Pm5lbka2RhU6dOnSI+Pl7JnRLzUpG7InNCSoe8upaJe1QcAl0hftXr9cp4L8Q6ZU2Y27dvXxYuXKj5viRlAynQlZRn5FxTUhgeJH4U63SAt99+m7Fjx2rel18eJNBV+1jxbzG+b926lQYNGpS4TYh9LgcHB2mXpUBe8SPIykcCeOedd5R7VFAeJNAVqOOcpSnMFVSqVIkZM2YomgxpmxKJRCIpK0hxrqTEKUsC3YfpCKQ+f0ZGBuvXr2fJkiWAVpgrPme7du3o2bOnJmFJUrYR99fFxQVAU23IaDSSnJxcrOeWAl1JcePl5QVkT5jYuXMnTz/9NN27dy9ykZm5uTk+Pj4cPnxYSUQWfjE+Pr5IziUpfcRGSdOmTTl79qzymAja7dy5kx49etCgQYNSvtL7CJ+ZlpYGZHVHs7CwwM7OjkqVKpXyFUpKC+GnrK2t+fDDDwkKCuLKlSvKvFF0QDEajYovLWrs7Ow0ldHVXXslpY9Yt5w8eVIJUAubEJs0bm5u+Pn54ePjU6BgcHHYk16vp1KlSqxfv54ZM2bg7++vbCyBFOY+Lhw6dIh//vlHGZvFfKxXr17KBvCjsJaQAl1JTqht18bGhs6dO+Pr68u9e/fYt28fSUlJ3Lp1i8zMTOrUqYOrqystWrSgWrVqOfq8ovSDYi1/+fJlICsZyszMTOlcXbVq1SI7nyT/BAYGsmTJEoKDg0lOTlYSCsVcELQdccUaVoz7ojOeqYBXXdDFwsKCuLg4Fi9eTMuWLRk5ciRPPfVUkRbFKkh80/Scf//9N9OnT8doNGo29sVn8vX15bnnnsPGxqbQ1ykpH4jfgsFgYMuWLQwbNizXLqMgBbqS7Ih727x5cyCrGIJaSPbSSy9hZWVVpOctjEBXJGrmJsxVJ8737dtXVusvI9y8eZPnnntOie9kZGQoY2BBBbqQJQ4SY2nnzp3p1KkTo0aNYv369Vy4cEFJBIas/UIxLxD/Xb58mcuXL7Nt2zbGjx9PixYt6NSpU64dcM3MzHB0dOTJJ59k7969yjxE2O/Jkyfp168ftra2j8R67nEmP8JcV1dXFi5cSNu2bRW7VCdAQlbc0s3NjZdeegknJyf8/PyIiYlRnhdjbVBQEEePHqVevXrFYh9ibZWQkKD4RICEhATu3bunFMWUSPIjmrh79y4fffQRer1ek3ORm1jiYfI88kL8RtQCCvFvDw8Pqlatqgjm5Rhfcggf6OzsDGQXuEDxC3SbNGnCypUr0el0+Pr6Ym9vXyw5GcKmLl26pBRaELEjQCl0Lcf7kkf4qdDQUEaNGpWto55aQFtcAl3xWkAz3xTiCD8/P5o2bVpiwlx1gSKxDpKdHss2DxLoquM0UqAredSQc03Jw5CXMBcoMmGuQMwZmjZtytKlS5k1axbh4eGKrZpibm7OuHHjlPy60sgVMv0NSLssGR4kzFX7rbfffpsxY8Zo3ldQ8hLomuar6XQ6rK2tS000rkYIc2VhYYlEIpGUJeSIJCkVTAW6gwYNws3NDUATWDQzM1MEuj/99BPJyclFJkyIjIxk//79hIWF5fs96uS6M2fOsGDBghyFuWJiWrt2bWbOnCnFPY8gBoMBFxcXXFxcsnWAvHjxIgkJCcr9LmrUNv7EE08wevRoOnfuDGQlgIrXqQW6165dk8IdSb7o2rUrvr6+yr+FPzY3N+eff/7JtbPUwyL8uihUoC7CoNPpuH37NiC7lJYHjEYjmZmZeHp6AijJ68IGEhISCA4OBig2H1oQ1AnzakSwXvJ4I0Tl9vb2zJkzBw8PD03CsJubG4MHD6ZJkyZFfm69Xk9aWhoZGRlAlsgd7nf5k5Q+5ubm3Lhxg6VLl5KamqokIYhNmkqVKrFy5Up8fHw087fSQqxPXF1d+eqrr2jbtq0U5j6GnD17ltjYWGXOJcS5PXv2pHLlyqV8dQVDCHTfe+893NzclKQMkbAmxvY9e/awbNmyAq37JSWDutquGvWaQLymoOsEMcerUKECVatWZcSIEUyZMoUPP/yQTz75hLFjx9KnTx88PT2V8b64UHej3rhxI6mpqZqCMHA/Uc/a2jrX70RSPBw9epTXX38df39/kpOTlVilehNXiF7EvRH+RSTJ6nQ6xT6FcEsdQxKvs7CwIDU1laNHj/LWW28phQgLk9CWkJDAf//9p1xnfn4nwvbgfifBtWvXaoS56qQTg8GAq6srU6dOpXbt2g99nZKHx7QqeVmImaiFuaNGjWLevHksXrxY8XW5+VMh0G3SpImS2KsW6AKKQHfTpk1A1v6BpPwh7nmjRo1wcHBQEokEd+/excrKqliSfoVA94UXXqBChQrZii2IONbatWuVxHILC4sCCXNlQnrZQafTKcJAMQaK/5uZmSkC3UOHDinxl/xg2s2kWrVqvPnmm6xevZo333yTjh07Kklywt+pC3mIDmcpKSn873//Y8aMGXzwwQcEBgZy7949zR6P2v8PHDiQHj16KJ9HPPfnn39y8eJFKdQp4+RHmOvm5sY333xD586dNcKynO6t8D1OTk4MGjSINm3aACj+SsxNAfbt20dycnKxjKsVKlTAyclJEXSoC76I7n5lYQ4jKRsI0USrVq2UsdS0MIHw0+qci5IQS+SEem1n+juUY3zJIb77atWqKX5NPU6K+yQEuv/++2+BxvUHIc7VunVr2rdvj729vea6ipqQkBB2794N3Ld/sX/fpk0bGjduXCznlDwYMzMzkpKSGD16NLGxsVhbWysxFHWhNhFP2bt3L35+fgQEBCjvz2s8VD8vBLqVK1fWxHFy8kNCmLtly5YSF+aKNbtcBz1amAp0vb29Nfsp6vsnBLq//vqrUuiopOZ16nMJge5zzz2n5GWqi2mLseG9995jx44dgIwpPa7IuaakIBRU/FhYYa5A+KcmTZqwZMkSatSokeN4L2KN//77L9u3bwey9m0k5Zv8dMwtDtsUAt1JkybRvn17QOsL1XMAZ2dnnJycgLJROKgsXINEIpFIJAI5k5eUGqUp0I2Pj2f79u3Mnz+f999/n2PHjmmeV29sq6/HwsKCjIwMVqxYwYIFC9iyZQuQXZir0+moXLkyy5YtUwRKkuJDbQtiA7iwmJub4+npiY+Pj7LgFce9c+eOUv2yuJACXUlx4uDgQP369QEUEQPc93V79uzh8OHDyr+LAmGvIlggfk/i+CLRRC6WH33MzMywtrZm8ODB2NjYaBIsRUL68uXLuX37dr4TyIsTcX6xoSQ2ueG+8NLKyqpMiIglpYcY6xs2bMigQYOUzj0tW7Zk0qRJzJ07Fyh6sblIbFeLksQ5XFxcivRckocjIyODjRs3kpCQoGzwCVGgo6Mj7777Ls2aNdOIsoqavMbpnJ5TC3SXLFlCvXr1mDVrlhTmPiaEh4crYhe1eGbEiBF06NChNC/tgeQ2X8hLoKter0mBbtnA1C8ZDAb0ej2xsbGcO3eOy5cvc+bMGY4dO8b169eJj48nMTERyF5JvKDkJPhVU9xre4CtW7dy7tw5zbnEXPmJJ54AZMJFSXLw4EFefvllbt68qYiyTAVWRqMRV1dXatasyaRJk5g3b56SkLZz5062b9/O0qVLGTt2LF27dlWSZtX+R3088XdSUhJz585l+fLlSiJnQUlJSeG3335jzpw5TJo0ifj4eMWehI2r55LiOWFju3bt4vPPP+fzzz9XhBui24uIa1pYWPDpp5/SunXrQn3XkoIjfJbaJ5iKvqHoYjb5RS3MHTNmDAEBAZibm/Pjjz+yaNGiAgt01WsdKdB9/DAYDNjb21OlShVA2z3k8uXLXLp0qdjufW4CXSCbQHfhwoXK+0wT0tW+XSakl028vLxYt24dDRs2VArxqTvXF0agKxDHs7Kywt7engkTJvDZZ5/x9ddf06pVK6pVq5ajv1OLN5KTk9m2bRtvv/02r7/+OpcuXeLu3btAlv8Xx+jcuTO2trZKXFWM4evXryc5ObmIvjlJUZNfYe66deto0qRJvtc9Yg7r4uLCq6++ipOTkzKng6x45bVr18jMzCxyvyTsuFq1akDWukrMPU+dOqVcp0QiMBVNiMLoartXz4eFPY0bN65ExRKSsoeNjQ2gLeSmLnxRXALdkvZhp0+f1hQ3EPPOpk2b4ujoWKLXItFy7949fHx8NOtZ0K5lREyouAS6asTccvLkyTRs2FB5rCjIS5irXgcZjUa5DnoEyUugK+z4URHoiv1zKdCVCORcU5If8uqYq461QNGKHwX5EeiK81y4cIGNGzdK3/aYUNLdnE3JTaCrPralpSWxsbGMGjWKc+fOyZiPRCKRSCQmWJb2BUgeb0wFugA//vgjcXFxyuNiAicEugADBgzA0dFRCbYXhMzMTKWq0O3bt7l58yZjx47l5ZdfpkmTJvTo0UOzSQ73J5nBwcEcO3aMX3/9laCgIOU5ddKRulPWunXrqFWrVqG+H8mDUScxCHsxtQl1gDi/9iK6P4pNDvE+S0tL7t27R0xMTLF3RBYBIjMzMyVZF+Dw4cOaz60W6C5cuJC33nqLWrVqPdTvQ1L+EYGkyZMnc+DAAWJjY5Xfh6WlJRkZGcyfP5+GDRvSuHHjIt1EMQ3Ui38LsZuk/FC9enVq1qxJcHCwRmRoaWlJZGQkX331FW+//bZSYbq0MDMz49atW1y6dCmbfbZs2VKp9CaRODk50b17d/7++2/q169P//79FTFbURfsEGP85cuXlQ1FEfDU6/Wy8EsZISMjg8DAQEArzra0tKRPnz60bdsWKJ7kHXXHe0FaWpoiiLC2ts42dot5ofDJbm5ubNu2DVtbW80xJeUPce/DwsLIzMxU1hDCVkR3nbJiA8IHZmZmEh8fj7u7e56/IyHQBZg/fz5xcXGK3xRzD51Ox549ewCYPn06Pj4+JfFRJP+Pqc+6ePEi169f559//iEiIoK4uDiioqI0m9329vbY29vj4uJCmzZt8Pb2pnv37jg5OeHs7KwcO79rXvVrSsPOw8LC2L9/P2lpacr1iDVYhw4daNGiRYlf0+PMkSNHmDJliuIjcqqSX6VKFbp06cKwYcPw8vKiQoUKOR6radOm9OzZE7jfnTwwMJAdO3Zw5coVIGv9rS4kJ2x95cqVpKSkMHHixALFlwwGAwEBAWzatInIyEgiIyMZM2YMzz77LN27d6dBgwbK5xFYWloSHx/PyZMn+eOPP/jrr7+Ua8rtO/jqq6948sknlc8h40slR3JyMrdu3eLw4cPcuHEDg8FAeno6devWpV69etSqVQt3d/dsnR+KE7Uwd/To0fj7+yu2k5iYyK5duzAzM+PNN9/Mc20kBLoLFizg/PnzioBI3XVHCHThfhGRgsZ0JY8G5ubmuLq60qJFC65fv64kdovEyLi4OMWfFQdCoAuwc+dOkpKSlHmysHedTse6desAuHTpUrZOUSIRWApzyzbe3t4sXbqUmTNncvHixWyiAkAR6AJ06dJF07E0P6iLJ5iZmVGlShWqVKlC48aNiY6OZs2aNZw6dYqoqChNQpvY2xHxnvDwcMLDwzl16hSdO3fm2WefVTrlivf07duXH374gQsXLmj2Jq9cucK9e/dwdHSUNljGKIgwt27dugW+f6LrU40aNejZsyfbt2/X2IbY00xKSqJixYpF+tksLCywsLCgXr16/Pfff8p8V4ztcXFxRXo+SflBiCbmzJlDQECA8nsQ4glhQ8KOX3nlFaZPnw5IscTjjLAHsT4AbeEi4TuFQBfuF0Mr6LheGMRcIDMzEzMzM0Uslt/3nTlzhi+//JKUlBRNLMHX15eXX35Z81pJyVO1alV69OjBiRMngCxbVN8TsT4QPm3v3r3K+1u1aqXJ/8kJ9fNCoDt79mxNPodAnPvff//F09OT559/XpM39bA8SJgr10HlA1OB7vDhwwkLC9P4HhGnEQJdgOeffx5ra+sS80Xq34QQ6AL88ccfmvmD2E/X6XS89957mJmZMWDAAGmTjylyrinJi7zEj+ripVA84keBqUB35syZREREaOYX4jWXLl3Cz88PgIEDB2ry7SXlh7ziRyVpm0KgKzh27JjiG9VjblRUFK+99hpfffUVTZo0KbLzSyQSiUTyqCPFuZJSp6QEuuJYp06d4ssvv+T27dtKQFyn0/Htt99iaWlJ8+bNqVy5Mg0aNCAxMZHbt28TFRVFYGCgJpgqNs7V1Yh0Oh1eXl6sWrWK2rVrF/VXJTFBnbg9ZMgQUlJScHV1pX379ri7u9OwYUNq1KiBubk5Tk5OGjsRdiOSIUxtSHR/bNmyJYcPH1YWOCIQGRwcrFSgLE4KKtA9duyYEqSX4nBJTgi/5eHhwaBBg1i3bh1paWnK78HKyorU1FReeuklvv/+e+rVq1fohbyw1djYWKXipkgCdnR0pGbNmkX4CSVlAS8vL3r16kVwcLDSmUId4D5x4gSHDh3imWeeKfWAYWZmptI5QD2nqFy5MiA3uiVZNGjQgGXLlmFtbY2Hhweg7XpSVIgNn7///lvzu9Hr9Xh5edGyZcsiPZ/k4fjtt984e/assomnnlf26NFD6QBVVKh9kbm5OTdu3ODcuXOcOHGCW7duce3aNQwGA46Ojri4uFCrVi2eeeYZatWqhZubm6batUieEMLc4rBjSdlB2M3u3bu5e/euplOTt7c3nTt3BspOx04LCwuSk5PZtGkTISEhPP/885p1UE7kJdBVJ2Xs2bMHV1dXpk+fLgtwlCDm5uYkJCTg7+/Pb7/9xtGjR7lz547meYHY2MvIyCAlJYW4uDiuXr0K3O9eV7duXQYPHkzr1q1xdXXNVsm/LKG+rm3btnHw4EEg6/MKYU+LFi1wcXEprct87PD392fWrFl5CnMHDx5Mt27d6Nq1q/K+3Iq+qe+zr68vvr6+DBkyhLVr13Ls2DFOnjypJDWKeJLaL4n1+LRp03B1dc3z2sW5Q0NDWb58OSEhIUpc88qVK1y/fp3Vq1fTvXt3pVhSRkYGsbGxXLt2jZMnT5KcnExqaiqQJRJXFxnR6XTY2tqyZMkSxa/K9VDJsnPnTn799VcCAwOVe2VK7dq1ad26NcOGDcPT07PYhVi5CXPVorI7d+6wdu1amjRpQq9evfI8Xn4Eurdu3WLNmjWKgF3aYPlD+BZ3d3cAzVrHYDBw4cIFOnfuXKxJkQUV6KqFubJj7qOFj49PNoEuaO9XYQW6QLb9p0qVKlGpUiUWL16Mv78/gYGBrFmzhoyMDFJTUxUbU4+1FhYWJCYmsmfPHvbs2cOAAQNo3749zz//PObm5tja2jJt2jTefvttEhMTlb2t69ev88033/DBBx9IGyxDFLcwVyD8ZIMGDZT5prArnU6HTqcjJiYGb2/vIv184hyiyLHpvDEgIIDU1FSsra1lgrskGzmJJky7QJmZmWFlZaUk+pp27JE8XohCfKaFANQIH1RaAl0zMzPi4uLYvXs3lSpVomPHjri7uyv+Ue3n1X+bmZkRFBTEa6+9RmxsrCaG4OzszDPPPKMUO5Zro9JB3MORI0dy+PBhDhw4oKyJc7JFU4GueD6/Al1Bhw4d+Pzzz5k9eza3bt3SxKaETQUGBir73L169SqUYEcKcx8vHiTQFfe1LAp0zczM+P333zWiS51Oh42NDenp6bz77rt4eXkpxWkljx9yrinJidLuSmqKqUB31qxZuQp0g4ODpUC3HJNX/AhK3jbzEugaDAZlnzMyMpIZM2ZIga5EIpFIJCqkOFdSJigJga65uTkxMTG88847REdHKxNYUeVcTBz9/f0B+P3335X3qoVkIthoWgHRysqKhg0bsmjRItmJpwRQC3PHjBlDUFAQ5ubmhIaGEhAQAIC1tTUuLi64ubnh6+uLs7MzLVu2xN3dHQ8PD1xcXHLcEFYn/QhxluliJz4+voQ+acEFuidOnODdd99l8eLFVK9evcSuU1IyCFvIy+89aPEtnnv66afZu3cvISEhStA6MzMTS0tL7ty5w2uvvcby5cupXbt2oRb04vf0+++/K9UI4b4osmLFikoinqT0UW8kPmwCpLCVfv36cejQIU6ePJltszw0NJTt27fj6+tL1apVSzVouHPnTuLi4jRipcqVK9O3b1/lmiUS4XNr1Kiheby47OPw4cOcO3dOsUvRPcjX1xd7e3sZaC8DXL9+HUARtQhbGDFihNJVuSgwXQv9/PPPSte71NRUzcYzZG2mHzlyhM2bN9O2bVu6d++udB0TqG1X+rnHA1MxpF6vp1atWoUa84sC9Zw2KSmJ0NBQPv74Yy5duoROp6N69eoPFOdC7gJdsc6H+8VD3NzcsLKyKr4PJNGQnJxMUFAQX3zxBZGRkdy+fVu536ZiBHGf1H+ruz3cunWLW7duceTIEdq0aUOHDh2YOnVqiXaOzC/qogfr1q1jzZo1ABoxqOiaO23aNOXfZeX6yytXr15lyZIlJCYmZhs7RfLF3LlzefbZZ5UOzaadn03vkel8TK/XY2dnx6RJk+jZsyc//vgja9euVWJKIqlCLfrasmULtra2zJo1Cysrq1xtwczMjIyMDN5++23Onj2rEYmJ16enp/P7779rkozUWFpaKmJK9XvF5/Tw8GDu3Ll06dIFkHZZUhiNRo4dO8bPP//Mzp07lceFzxB2I9YEoaGhhISEcOLECVq3bs0rr7yCh4dHsawR8hLmqhNzAfr37/9AYa4gJ4Gu+JxiThIVFYW/vz/jx4+Xgp5yiPAtTz31FBs3biQlJUUzbzt79ixAsd/7Bwl01fs/QiAhE9IfTXIT6KrHuqIQ6ArEMYVdtG7dmtatW/PEE09w/vx5Nm7cqBShUftT4feFz//pp5/Yu3cvO3fu5JVXXsHHx4c2bdrQqFEjjh49qpxHdNsLDQ3Fx8dHjuFlgJIS5kKWHYsiqOoCLGI+URwFqoSNNW3aFGtra8V3irlBcnIymZmZ2NnZFfm5JeWD3EQTIhEdICMjgzfffJMPPvhA2bORPu7xRewxqm3E1dU1x5yi0hDoJicns2fPHlatWoW5uTnNmzdn4sSJ+Pr6Ym1trfHz4u9r164REBDAsmXLNMJcMVY0bdqU/v37l2gHYEl21ALcTp06cfToUaUwpMDZ2ZnMzExSUlKUuIuIP/3111/K6/Ij0FXTvn17Fi1axJtvvqnpoKsW7Jw7d04pKvSwAt28hLlyHVR+eVQFuqNGjQLQCHQBJcbbs2dPKcyVyLmmRMODxI/CH0LJiB8FwiabNm0qBbqPKXnZptArlIZtSoGuRCKRSCQPhxTnSsoMBRXobtmyBTMzM1544YV8C3TPnTuHhYWFknin7qZjmqBumqgGaBIyxETTaDRSpUoVunTpwiuvvEK1atWK4+uRqFBvSIwePZpTp04pgWF14oLotHDr1i2CgoKA+0nber2eqlWr4uPjg5ubGx06dMDNzY0GDRpQqVIlzcKlZcuWODs7k5ycrKnGGhgYyIQJE5QgdXGTH4GuCIqLgH9Rd2yTlA2ED8rIyCAsLIzbt2+TmJiIra0tDRs2xM3NLd+Ja02aNGHq1Km8/vrrmm4+Igno2rVrzJw5kyVLllCnTp1CCTdOnz7N+fPnFeGn+J1269ZNSdyQAaOSx/R7N+1cZkp+i2EAuLm50a5dO06ePKlsPqo3Ig8fPsyyZctYsGCBkjBUUgm36s8REhKiPC7GFldXV6Xiv0QCBRMvFnbDJiMjg3379nHz5k1AWwXx+eefV7qdSkoHg8FASkoK//33n/KYujp6/fr1NRslhUEcIy0tjX379vHPP/+wZ88eTeEg9RxRJEaYmZkpdnP06FGOHj1KcHAwEyZMwNvbW24oPoaEhIQQGBgIaH1Uw4YNS13sIq7l5MmT/Pnnn/z+++/KphPAd999R+fOnWnVqtUDj5WbQFen0ynCiwEDBkg/WkKcOXOGvXv38sMPP5CcnKzEdNTxFSDXjidqka6pb/P39+fkyZMEBAQwbNgwWrdujYuLS5lZU4jPuGnTJhYuXAhkF+ZWq1aNgQMHKv+Wvrl4SUhIYPv27Vy8eBFAEa+Kom8AK1asoHv37pr3FdSeRGzG0tKSWrVqMXv2bLy9vfn222+Jjo5W1jymnb3XrVuHvb0906dPz7MjdGBgIDExMYC2cBdoY5bi9yLmBiLGafqbEr8zR0dHWrRowZQpU2jZsqXm+JLiRa/X891337F3714uXLgAoInNCKGW6HynvsfXr1/n+vXr/Pfff6xatYq6desW6bXlR5grYqUvvPACCxYsUD5TfuYXOQl0LSwslM/auHFjli1bptiytMfSI6dOX0WFk5NTtv0ZCwsL4uLiivQ8eZGXQNfU9mRC+qNNTgJd4dOKsoOuGtNCMg0aNKBBgwY8//zz7Ny5E39/f/bs2aPYlWl83mAwkJqaytGjR7l69SqNGzdm5syZjBs3ThGFiPnAhQsXOHnyJD4+PtJnljIlKcxVY29vr4ylwi70ej3Ozs5UqlSpCD5Zzri5uSnCXMiai969e5eQkBBatGghx3JJruQmmhCYm5uTnJzM3LlzsbCwoHfv3gUStUnKD7dv385WtNzGxoauXbty8uRJwsLCSlWgm5mZyX///ce2bdu4e/cuAAcPHuTff//l6aefpmHDhrRo0QIXFxel4Pz169f5/fffiYyM5N69e9mEudWqVWPOnDlKMXlJ6SLsql+/fvzwww9cvXpVsUcAOzs7mjdvzsmTJ4tNoDt79uxsAl1x/HPnzrF+/Xqg4AJd2TH38eZBAl21MKwsC3TF9UoblaiRc00JPLhjbmmJHwXC5po2barEraRA9/GgrNumFOhKJBKJRFJwpDhXUqYoiED3+vXrSgfd/Ap0u3fvjqWlJdu2bWP//v2aAA1kJYUCmoQQEeAX1ygERkajkWbNmtG3b1969uxZrJubkvuI4K9Op2PUqFEaYa4IfIv7Je6rOgFCr9ej0+mIiooiIiICQOlKUaVKFapUqULdunVp2bIlnp6eeHp6YmdnR2JionJsQEkQUm+SFDcPEuhaW1uTkZFB06ZNWbduHVZWVnIBXk4Q9zEjI4Pk5GQ2bNjA2bNnNcIggOrVq1O1alXGjBlDgwYN8PLyAnJOqhWP9e7dm8jISJYsWaLxiSK4c/nyZSZMmMA333xDgwYNHur6jUYjf/75J2FhYYBWaNapUyeg4EnPkqJBfO+xsbFcvXqVU6dOce3aNcUGmjdvTpUqVZRN6/xusIjNwPHjx7Nv3z6CgoKU4Ix6I3Lnzp04Ozvz9ttvK4+VlD8F+OOPP/j999+Vx4VdDh8+HDc3t2K/Dkn5RNhXTEwM9vb2ODk5FWgD5/vvv1fmuOpg64svvpiv7pGS4sXc3BxLS0tSUlIANJXRnZyc6NSpk0Z8VlDUtpKRkUFUVBSffPIJwcHB3L59W7kG0XVPJMkLxN9iLSPG3O3btxMbG8vEiRNp0aKFHHcfM0TijLpYhunzpbXJbDQauXfvHkuWLOHUqVNAlu8T89L9+/fTqlWrfM0TchLo1qxZkyFDhjBgwIBi6RYkyc6vv/7KunXruHLlChkZGTnGXYSPEvYo/JK6+JRabABZ4kPx35EjRwgNDaVjx45MnjyZ6tWrF+kauCDHMv0drV27VkkCUn9+8e9OnTrRuXNnQHYwL07EPbx69Sp//fUXqampmu6cYp61atUqunbtWiTnNO2UN2TIEDw8PNiwYQMnTpwgMzNT05VR+LyVK1dSsWJFRo4cqVyjqW34+vryySef8M033+Dv76/p6Ct+J+I3JT4boPktqZNDRbJvnz596Nu3L7Vr1wakMLek0Ov1fPzxx+zdu5eEhAQAZaw2LVaQU8xa+NHIyEhGjRrFihUraN26dZGsq4tbmCswFeiKhI6mTZuyceNGbGxsSqwwoiQ7UVFRREdHU61aNTw8PLKNiUVRlKhmzZq0b9+eAwcOKMfU6/VcuHCBK1euFLnoPDfyEuhCVjFXmZD+6OPj48OXX37JzJkzCQoKUvyLqUBXCHmKQqAL2vmeXq/H1taWYcOGMWzYMJ555hmOHz/Or7/+qoh51AUuxe8sNjaWAwcOcODAAaZMmYK3tzcRERGKqFcU/Gjfvr2yLyApeUpDmCvs6/jx45p5n5hXiAJVxTXHc3Nzw9XVldjYWGVs0Ol06HQ6rl+/TosWLeTcUpInD+pqJkQTH374IYAUTTymREZGAijrEKPRiKurK7NmzeK3335j48aNhIaGlppA99KlS3z33XeEhIQofl0Uqv7777/5+++/sbOzUwp6paSkaGK0InYk3lOxYkVWr16Nt7d3sVyv5OEwGAxUqFCBadOm8f7775OcnKzxQ7Vr1yY9PR1/f3/FlxWVQLdDhw45CnTVRdnOnj1bYIGuFOY+upgWvTRdcxQkPvMoC3TNzc357bffyMzMpH///nz22WeAtFFJFnKu+XiT1xpdnUsBpSN+FAiba9Kkieyg+5hQ1oW5grwEuupCxFKgK5FIJBLJfWRWg6TMUVwCXfHerl27Ur16dVq0aKGI0SCr6rlIcFd3IlBXbRevd3Bw4JlnnuG1116jUqVKSmcfSfFibm5OZmYmY8aM4dSpU0pAUV1VXGCamCg6L4jHRHKDeDw+Pp5bt25x/vx5RbDbsGFD7t27l+0aEhMTCQ4OpkGDBjkGNYW9FXWwJieBrpmZGYcPHyYjIwNfX1/8/Pxk8lo5Qixob9++zZYtW/j33385e/asYlei66xOpyMmJobIyEiuXLlC7dq1eemll+jWrVuONqi2pSFDhhAdHc3mzZuzCXQtLS2JiYlhxIgRLF68mNatWysdRfO74F+/fj3r1q0DtMGDESNG0KFDh6L6qiT5RN1hKTU1ldWrV3Po0CHOnz+f7bV//PEHAI0aNcLLy4tXX30VDw8PHBwcNMcyRRRIsLe355NPPmHatGlERUVlq56m0+lYv3499vb2vPrqqyUq0I2IiGDXrl0Ayqaj6GAhA0WSwuLv78+OHTtwcHBg+PDh1KpVS3lOJFiI+YcYq5OTk9m6dSuLFy8GtEKeGjVq8OSTT5Z6h0vJfZKTk0lMTNT4P/U6ojCok4b+/vtvfvrpJ27duqWMt8JPql+b0wah+LdI/tTr9Rw4cACDwcDMmTNp2LBhoa5T8miRkJBAenq60m1Z2Iy9vT1QusJAMzMzHB0dmTBhAtOmTQO0InOj0cj+/fuZNm1avjveCoGuXq/Hz8+Pp59+moEDB0phbgkhxjIhLFD7LVHsTDymFg+K5EPQigrFc5BlG8LHmZmZERkZya5duzhz5gyLFi166IJCgqioKOLj42nSpEm+NzfV89eQkBC2b9+uJMKpx3MRU6pfvz5TpkzBxcWlUNcqeTDC5r744gvNekRtb/PmzaNr165FHr9RxzeffPJJHBwccHR0ZP/+/WRkZGh+B2JttHjxYqpVq5brOt7e3p6OHTtSr149Fi1axJ49e5T5hzqRVyRriGOIv9VxTVGM6f3338fHx0dZ54MUjJcEOp2OadOmKYJEQDPXz813mnZMFmvrhIQEpk+fzsaNG6ldu3ahEjRKSpgrEALdhQsXEhgYSKNGjaQwtwwQFhbGkCFDSEhIwNPTEx8fH7y8vOjSpQsVK1ZUhFamfuZhbE8U11AXEbC0tFTmEiVFXgJdKcwtX3h7eyudSHIT6J47d67IBboC4SvF7+a5556je/fujBo1ivXr13P+/HmCgoIUXyvGePVY/vXXXwNZY7Z6DyE8PFyKc0uJ0uqYK7hx4waQFScS84WePXvi7u5eZOcxxd3dnerVqxMTE6PZTzcYDMTExBTbeSXlCymakDwIka8h5qAGg4GMjAysra0ZMmQIOp2OLVu2lEoH3cTERN5//32Cg4OV/BORqK7+d0ZGhqbYkroQh4iD6vV66tSpw1dffaUU0JKUHcS4Xa9ePby8vLh48aIyxkdHR+Po6Mjbb7/N/PnzOXXqVJEJdMXzuQl01YKds2fPKnkZDxLoSmHuo4k6Ni4wMzMjMzMTc3NzLCws8sxhy41HVaAL9/fAKlasKIW5klyRc83Hk7zW6KDNAy8q8WNhiiUIm2vatKkU6JZzHmSbZUWYK5AddCUSiUQiyT9mRnXZdYnk/1EvFEpKJGOKusLfsmXLFIEuaDuhGo1GatasyfDhwx8o0DV9PDAwkG3btnHq1Cmlo6NATHjVSU82NjZYWloycuRIWrZsyZNPPlmM34AkN3777Td27NjBrVu3SE1NJTo6OlvyLty3E7HZod6MViex5RRMUSfAidepK+WLx0SX0urVq9O6dWucnZ1p1KgRFSpUwM7OLptgW5ynKH5T6ms+dOgQy5YtQ6/Xs2XLFpm8Vo4QthIZGcnbb79NUFAQ9+7dUzbrTJPTIStpU/DBBx8wdOjQBy7OQ0ND+eabbxRhujqJ3NLSkszMTGxtbRkzZgzdunWjWbNmynvVGzc6nU6x/fj4eLZu3cqyZcs0xzQajXh7e/Pee+/JLpAljBhbk5OTOXz4MD/88ANHjx5VfKGVlVW2ruOiYqDRaKRy5cq88MILPPvsszRu3Bh4cMX91NRUNm3axOrVq0lMTFQCh+Ic4nyvvfYakydPBop/7qHX69m+fTtffPEFycnJmuTiCRMm8OabbxbbuSWPFg9TbCM0NJS1a9eybds2zMzMqFq1Kq+88gqNGzfOVTD022+/8e+//2YTjItN76lTpypFaySli16v59atW/Tq1YvU1FRNMrqVlRU//PADDRs2LNBGnTqIrtfr+eWXX1i+fDm3b98mLS0tW8dJ08JB6jmBep5r2pFSHKNv374sXLjwoZPnJY8ef//9N9OmTcvWPUe9mVPa3L17l48//lgjNBPJ5xYWFixdupRu3boVyB+L7tNubm4a0Zmk+FB3i1ULwU2LF1SsWJHq1avTtm1b6tWrR8WKFalWrRqpqancvHmT+Ph4jh49SmRkJBcuXFDel5s/FMd3cHDgq6++UjrSFpTY2Fg2btzI7t27GT58OBMnTlTOoV7zqJPT1OOAn58fBw8e5MiRI9muV/jsqlWrsnbtWmrWrPlQ1ygpOD/88APz5s0DtB124H7BqBkzZlChQoViO7/aTs6fP8+mTZvYs2ePRqCrTqhr3749s2fPzpfQfNu2bQQEBLB7926NqE1to+rPKzb0e/XqRatWrXjxxReLrWuQJHd0Oh0TJ07k6NGj2To5i/soupR6eHhgZmbG5cuXgfvjpZjjqWOd4t56enri5+dH1apVHyp5LC9hrtq+ikqYq0YUOProo49kbLOUCQsLY8SIEcTFxWniJZDlRxo3bkylSpXo0qULNWvWpFatWrl2sM9tzSEeP3jwIK+88gqQVcxKr9crcaKSXrOEh4ezadMmRaArYmUyIb38ERYWphHoChGCOumxadOmTJ48ucgFuqaI86anp5Oamsr333/PiRMnCAgIUF6jtjfTQhzqInCTJk1i5syZxXatkpwpbWHu0aNHGTduHKC1FYPBwIcffsiwYcOK7FxqxBxg4sSJHDp0SJkriHlKly5d+Prrr7GwsJBJ7ZJ8ER4enqNoArLW/o6Ojnz88cf07t0bKL6u0JKygV6vJzMzk4kTJ3Ly5ElNAbeuXbvy9ddfKz7n+++/Z+vWrYSGhgLZc4qaNGnC5MmTi0Wg+8orr3Ds2DFSUlI0xTXE+UEbu1eP4WK+XaFCBZo2bcpHH30kC208Amzbto0PPvgA0Aoodu3ahbW1NR999BGnTp1SBJNiTS3WPM888wyjR4+mVatWQMF82dGjR7MJdAFNDLZp06aMGzeOXr16AdnXL1KY+2hh+r1HRkZy+/Zt9u7dqxToSUpKwtraGkdHR2xsbGjVqpVSZMve3l4Tt8nL3oRt3L59O0eBrjqfrlGjRowcObLEBbqmnyEiIkLxm9JGJXkh55qPD3l1JTUtZFocwtyTJ0/SvHlzJa5YkNi5OM65c+eyCXRBO943aNCAUaNGMXDgwEJfv6RkKA3bVL83NTUVOzu7hzqOXq/nxIkTfPPNNxw7dgzQ5iSJa69evboU6EokEonksUWKcyXZEJOxu3fv5tpZRi1wLM4FaEEEuj4+PgwfPpwBAwbkKdA1/QwpKSmkp6fz888/ExERwfHjx7l9+zbm5uakpaVhYWFBo0aNcHV1pXfv3tSoUUNTpVIuakqPe/fukZmZSXBwMDExMdy4cYNTp06RnJxMUFAQGRkZymvVFaLUQW+x2aHeDBHkJOKFrOC6WgghcHV1xd7enho1aihJxkK46+XlletGz8Mksalt/NSpUzRu3Bhra2uZvFZOEDYRERHBmDFjiIqKytYhD7R2kJNgB2DGjBmMGjXqgaKEixcv8t1337Fnzx4g52RyS0tLatSoQa9evRg4cCDu7u45+sAdO3Zw9OhRfv31V+VYYgPHaDQyefJkXnvttUJ+S5KCIHxgXFwcq1at4t9//yU8PFwj9s5pWmhqU3Z2dtSrV49p06bRpUsX4MEB6fDwcFasWMGff/5Jenp6tkquImHnlVde0XTNK+rxVRzz1KlTTJ8+nbi4OM1mUqtWrfj2229xcHCQQXaJxgZjYmJwd3d/oF0mJCSwceNGVq9erXSpFEn2VapUoXnz5lSrVo2qVatiMBi4du0aly9f5vLly6SkpAAom9/iGgYMGMCnn36a7ZokpcuAAQMICgrSCGEAVq9eTadOnfLtQ9T39MCBA+zbt49t27Ypz+fU/U49xsP9ze+KFStSoUIFrKysOH36NAkJCSQlJWnG8twKIkjKP4cPH+all17SdFwSSTWiknhZ8C0//vgj77//PqC1fYCXXnqJN954ozQvT/IANmzYoIxXOW3EWVlZ4ezszIsvvkjXrl3x9fV9oJ/U6XT8+eefnDt3js2bNytrfHUipjiGKCjk4ODAvHnz6N69e4ESLUVcaMmSJdy5cweA5557jo4dO9K3b99cOzeHhoZy9epVNmzYwOnTp5VrzGkt5eLiwqZNm2TnkxLm9ddfV4T/kBUf8vDwYO7cucqapjhRj+Pnzp1j7dq1/P3330qCpjr+aWdnx7Rp05gwYUKucz91DMlgMHDixAkCAwM5fPgwd+7cITw8XFN0sFatWtja2tK7d298fHzo2rVrjseSFD+ZmZmMHj2aU6dOKb5SPberW7cunTp1YvDgwVSqVEnpsH3t2jUiIyP59ttvCQgI0BRgURe00Ol0DB06lNmzZ2Nvb1+gaytNYa5A/FZkbLP0yElUpl7zqItUqIsDurm5Kd11O3fuTMWKFWnZsiVWVlbZ7MPUZqKioujbty/JycmaGOfgwYOZO3duyXxwE4RAd/fu3SQkJADIhPRySlkS6JoSHR3N6dOnWbNmDTdv3iQuLi5b5zVAI5zo37+/ssaTlBylLcy9desWS5cuZffu3ZrYj9FopGXLlmzcuLHYfJb4LP/73/9YtmyZRpwE0KJFCzZv3izj7JICIUUTElNSUlLo27dvtg7hYl0i5pelIdBV+3Q/Pz/27dvH0aNHledFfMg0zm9hYaEk4BuNRpo3b86zzz5L7969qVKlSqGvS1J8iHuYmJjIrFmzOHLkiGZNLtYNp0+fZunSpQQGBhaZQFf9fG4CXfVcIDeBbl7CXNO1n1wHlS6mNnHgwAHOnDmDn58fer2e1NRUzetN1+oAderUoWrVqkyZMoVq1arh4eHxwPM+SKCrzpUrKwLdnP4tkeSEnGuWf0pbmLtr1y7efvttnnrqKZYvX674TynQlZR2N+dffvmFS5cuMXToUDw9PR/qeFKgK5FIJBJJ3khxrkSDegI4bdo0XFxcqFevHq1ataJSpUr4+vpibm6eLSmxOBNmilOgK96rfk1GRgY6nQ6DwUBGRgbm5uZKIpSk9MlNiCgQi9mQkBBFpHvx4kWio6M5e/YsRqORxMTEbMcVXUry02nXFLF4FhvtpsFOOzs7MjMzqVmzJl5eXlSrVo22bdsqvy8nJyfl3Dl91rwW6KbfgVxglw/Efbxx4wajR48mKipKI6YQdmEqEFd3p1J3TgGYPHkyo0ePplKlSnmeOzg4mO+//z7HDrqmXXm9vb2pWLEibdq0UZI+r127xvXr1wkKClKuzbQDpDq5TtpsySC+55s3b/LBBx/g7++vdHw0FXvnJHYQvkYtpK1cuTIffPAB3bt317wmN86dO8e8efM4d+5ctteqA4fF1blWnDMkJIQJEyYQHR2t2USqWrUqM2bMoE+fPkq3Ccnji9o3rVu3joULF7Ju3To6dOiQp9/asWMHn3zyCampqZoguzopLSfE/MG0mvrzzz/PF198AUjhRFkiIyODiRMncvz48WyJsZ07d+bzzz+nYsWKeR5D7QczMjJYtGgRhw4dIiwsDMjeHTKn5PcePXrQuXNn2rZtqynAERUVRWRkJHPnzuXKlSsafybs0dPTky+//FIGwx8TgoODGTRoEEajUbPW6dixI2vXri3ty9Ose8aOHcvJkyezdfnt2LEjq1atwtLSUs4dyyDbt29nzpw5QM6i1AoVKjBgwACeeeYZJdkMco8lqUVngnPnzrF9+3b+++8/bty4oekKCmjWP3Z2drz//vv06dPngYmWwv6OHDnC22+/TWxsLNbW1orI1srKCm9vb9q1a0e9evWoUKECRqORq1evEh0dzT///IPBYFC6WaoTLiFrnlutWjVWr14thbkljLqDmHpz2Gg0MnLkSKUgQEmgHvv9/f1ZtmwZAQEBGr8sbMjNzY2tW7fi6emZ6zorp8d1Oh3JyclER0crG/oGgwEfHx+MRmOBxZqSokUtzBVJryIpFmD06NF0796dtm3bKu8xvc86nY4lS5bwxx9/EBUVBWhjlUajkdq1a/P555/TqFGjfMdc8hLmirlucQtzJaVPREQEQ4cO1SSsqTEt1iri2aYxcfG6unXr4ujoyJNPPkmtWrVo1qwZ7u7uyvHEsTIyMpg6dSqHDx9W7Emv19O2bVu+++67Upv/hYeHs3nzZtavX89zzz3Hl19+CchYZnkkJ4Guel+opAW6pjYWExNDREQE3333HefPn9fsj4qYhBROlB55Jf0K31i5cmXWrVtHnTp1iuXe/Prrr8yfP587d+4oaxEzMzPs7e15/fXXGTZsWLHbxM6dO3nnnXeU3434Ldnb27N161bq1KlTbOeWlE9MRRPq9ZwUTTw+iHvq7+/PuHHjlNim8K9z587lxRdfVMZr4QNLWqCrXhdFRkZy4sQJ1qxZQ2xsbI55KWpatGihXI+Tk1OJFgKRFJ6VK1eyfPlyTbEUd3d31q9fT82aNQkMDOSrr74qcYFuXh10MzIyFAGlFOaWbcR3npaWRkhICGvXrmXfvn2KIFedgwNZXboh5/V6pUqVsLW15YsvvqBly5YPPP+jItCVSB4GOdcsv5QVYa7g2WefZfHixcr+ZUHy68Vxz58/z8yZM6VA9xEnL2GuaY5vcdjm7t27eeuttwB45ZVXGDBgANWrV3+o4+Ym0BX7nVKgK5FIJJLHGSnOlSiIiVx4eDhDhw4lPj5e87y5uTm1a9fG3t6e9u3b4+XlRcOGDalbty7m5ubZFg/qzevCLk6LW6Crvl7TpCJ1lWzIWZwpKRuo73VOC5PY2FjS0tI4d+4ckZGRREREcP78edLS0rh27ZrmtWqhhbAL9aLWFNNEOBG4yS1JSVCtWjVcXFzw8fGhcePGODs707x5cxwcHHLtSAoy+a08I+w4NjaW6dOnc/r06WwCL+Fba9asidFoxMrKimvXrikbJTklxANMnDiRsWPH4urqmuc1REREsGXLFkWsoQ5Eqo+ZU/do9WtMq/gbjUZ69+7N4sWLAWnHJYXwhxEREUydOpUrV64A2qIEufko8ZipDcD9++nl5cXcuXPp0KFDvq7l2LFjfPjhh4SFhWUbT9Xi7wEDBjB16lSqVq2qnLsoAodBQUFMmzZNI3iH+99Fnz59eOedd2RBjlKiKOeNhUVtb5s2bWLevHnA/U3O7777jvbt2+dok5cuXWLIkCGkpaUpAm/TAgo5FRnJqZq1lZUVQ4YMUQQjsnNU2UHct+3bt/Pxxx8DaMTXHh4ezJgxg169emFjY5Pj/FQ8FhUVxX///ce2bds4e/ZsNmEOoNiS+LePjw9NmzZl5syZuLu7a8ZR03E1MTGRN954g0OHDuUo9v34448VwWZp/+4kxYfRaCQ4OJiBAwcq6xNha7a2tqxZsyZfiRglcZ0ACxcuZP369dm67VSvXp0dO3bIcboMcvDgQebOnUtkZKRmzig62bq6uvLpp5/SsmVLnJycgIInMYjXJyQkcPXqVZYsWUJgYGC2Tn7qzUt7e3sWLFjAs88++8Djh4WFMWzYMOLj47N1mDa1RTXquIE6CUot5DA3N6devXosXbqUmjVr5vszSwqHGHO///57Fi5cqKx5hA+sVq0a3377LbVq1SrRJAW17f/zzz988skn3Lx5U7Ez9ab1s88+y4IFC/ItqM3tc6gfl2N+6aHT6Rg1apRGmCs6JQF89NFHPP/880rBlZzupzoJfc2aNfj5+REbG5vtnhqNRsaMGcM777xToGtUF8mQwtzHj/DwcPr160dqaqpSpMLKykqzhjBdt6v3S8S4qU5KV3d2NhqNuLu74+XlRdOmTWnfvj2enp5K0Yo1a9bw+eefK8czGo1UqlSJnTt3agS9Jc21a9e4cOECffr0AWRiW3mmLHfQVXP8+HGOHDnC1q1bSU9PJz09HZCdnUsL4Q9DQ0MZPXo0t27d0iRWwv3ivV9++SVPPvlkkZ5bjMMXL17klVdeISoqSrMno9PpqF27Nl9//TU1atQAUMZz4atFocCi4NSpUwwbNixbodY+ffoo/l0iKShSNCERqOeKAktLSzZv3oyvr6/ymHrsLmmBrqntxcTEkJKSwp9//kl0dDRhYWEkJibi6uqKg4MDjRo1okmTJkp+iOTRQl1oaOjQoQQFBSmFU0RMZ8mSJVhYWHDmzBkllllaAl1fX1/Gjh2rCHR1Oh3jxo3Lcf0vhbllA/Gdx8XFsXXrVvbt20dQUJBy38V621SQq77/wk7U+SDe3t6sXLky34VTpEBXUp6Rc83yR2mLH9XCXBFXNRgM9OrVi4ULF2JlZfXQn+n8+fPMmjWL8PDwXMf7+vXrM2rUKAYNGlTozyUpWsqaaNzW1pZx48bx4osvUq1atYc6vhToSiQSiUSSM1KcKwFyngBaW1srlX1FUMc0kGNnZ4ebmxvVqlWjY8eOVKlShXbt2mFra5utO2NhRa4lIdCVlD8etEi5d++ekrCemJjIxYsXCQoKIi4uTun8aSqsUaMOcAI5BjvVohux8Q25d9oVCed16tShRo0aeHh40LZtW5ydnaldu7aSICUrp5ZfUlNT+eqrr9iyZYvSsUnddapnz5506dKFNm3aYGlpiYWFBf/99x9nzpxhzZo1SpA8J4HuSy+9xNixY3Fzc8vzGoxGI5s3b2bBggXKe3MSaIrHxeYRZHW6Up/X2tqaF154QSNkkkKz4kddeGPcuHEa0YRpN08fHx9cXFzw8PAgOTmZsLAwYmJiFBtU2xRkibvatGnDO++8Q/369XO9DvU4fOjQId555x1lDM+poyNAhw4d6NevH927d9eM5QUtugFw+/ZtTp48yaeffsqtW7eyCd4bNWrEsmXL8PT0zO9XKykEOY3Nar9lmuBdkkHj3IS5dnZ2SiXi77//nnbt2uVoi4sXL+bIkSMEBQUB2bufmiLer7b9unXr0qtXL6ZMmQLIpPeyysmTJxk9erSmKAvcv8+NGjXipZdeokuXLjg5OWUb82JiYrh48SJLly4lJiaGhISEbB0ggWx+ul+/fgwYMIBmzZpha2ub529D2E1iYiKjR4/m0qVL2fx/w4YN2bBhgyKWk5RfkpOTGT58uNJJWS0inDdvHi+++GIpX2EWAQEBjB49GkAjUq9UqRI//vgjHh4epXl5EhOuXbvGkiVLOHDggCIshCz/VblyZVavXk2DBg2K9LwGg4H33nuPffv2KR1I1GtrscHu4ODAihUr6NChQ67jqdFoZMOGDYrYzHTOKxDxKHXRBLUIN6fEKFdXV9q3b8/MmTPlPLMU0Ol0jBw5ktOnT2uKYxgMBpo1a8aaNWs0nedLCrW9bN68mblz5wLZO/v6+PiwcuVKateuLZMoHnFy6pirFuYuWbJESZB9EMIW9Ho9c+bM4aefftLE7sWc0tfXl1WrVhWoqMWcOXPYvn17to45Upj7eHD27Fm2bNlCeno6Fy9e5Pr165pkGjF/VBdQM+0uCnl31zUteFG5cmUaNmyIr68vBoOB9evXk5qaqiTL2drasmnTpjzjTSWJ9MXln7Is0DX1u6dOneLs2bP873//o3379nz11VeAtNPS4O7du3Tt2pV79+4p8UNTv/nSSy/Rr18/atWqVSTnFD41JiaGMWPGEBoami0GaWtry+bNm2nUqJGyn5iamorBYMDBwSHXY6vnzAWxpaSkJJ577jmSkpKU306/fv1YuHCh5rgSSUExFU3klIguRRPlF+GLZsyYwd69ezVrHx8fH/z8/HB1ddXc79IU6IpjP4z9Sbt99BC2tmnTJr744gulaIoobv3pp5/SunVr4P56a/HixXkKdHv06MGoUaOKVKCrLgrcpEkTpk2bRteuXRk9ejQnTpyQwtwyivjOo6KiePfddzl79iwpKSnK+lodj1avt4FsAkOBmZkZNjY2jB07lpdffhk7O7t8X09eAl1xbCnQlTyqyLlm+aGsCXPFuaysrMjIyNA0MnnYzyYFuo8mZck21fMFJycnBg0axOjRo6latepDnUcKdCUSiUQiyY4U50oUrl+/zpgxY3Ks7AvaxAoRxMupg4ibmxvW1ta0aNECb29v6tSpg6+vLw4ODlSsWFHzWtPuUQ9CCnQlRUFOAq+c7CMsLIykpCSOHz/Oxo0biY6OztbRTNij+C2IqtDqhErILuIVjwlMF805JT7p9Xrq1KmDTqdjwoQJZSqJXlI0CB939epVZs2axeXLlzWLVVdXVz777DOaN2+eq5Dm2LFjvPHGG9mEjw8j0IX7nbC2bNnCqVOnSExMVGw9J2G5OJ96IwDuV2N97rnnGD9+PCCTOEsKdYBnxIgRxMXFZROl2tnZ0aBBA/r160e3bt1wc3NT/FpKSgr79+/n4MGD/Prrr0B2X2UwGLC3t+fVV19l7NixeQaH1H724MGDfPzxx9y8eVPZfMxpo7By5crUr1+fd955Bw8PD03ikHqjSd0J0FQEd/z4cf744w9+++03xYbV30HVqlVZt24dPj4+RXsDJHmSlJREREQER44cIS4ujvDwcOB+cLpOnTpUqlSJjh074u7urhFNFOd8Lq+OuTqdTqlcCLBx40ZlUx20fu3gwYMcOnSIjRs3Ks8LuxOCHjFXEF0FBePGjePJJ5+kffv22Y4rKXssWLCA77//Hsi+FvH29qZly5aMGjWKihUr4uzsTGRkJHv37uXYsWMEBgYq8z11Z13TcdvS0pLWrVvz3HPPMXToUOXc+fktCPsJDAxkypQpJCYmauaylStXZtu2bVSpUqU4vh5JGcJgMDBx4kSOHDmSbT3j5eXFunXryoRw0GAwEBYWRt++fZVKsQJROKZFixZyXV8GEGPmDz/8wGeffUZqaqqmGJVOp8PNzY1Nmzbh7e1dpJu/6rFxzZo17Nq1iytXrgA5b/g5OTmxZcsW6tSpk+t13Lx5k3379rFixQru3LmTrXtuTut5gWn3Xrhvrw0bNqRnz54MHDgQV1fXIvnskoKRkpLCCy+8wI0bN7IJF9977z1GjBhRarFCtS1+8sknyrxRnWAHMGHCBN58880Svz5J0fEgYe6KFSvo3r17gY4p7Cc5OZkhQ4YQEhKSbcy0sbFh27ZtBRI1RkRE8MYbb3DmzJls6xYpzH28uHv3LpGRkURERHD48GFu375NYGAgGRkZJCcna14r7FpgOm7mVGRNjNG5ja/qeP2cOXMYMWJEcXxMiSRHchLoqveTSlOgC9ljAcnJyXl2XZeUDKtWreLLL78EtMV+RJzbwsKC0aNHM3ToULy9vQt1LhErSkxMZPjw4YSEhGi6l4nzDh06lFatWnH+/HlOnDhBZmYmd+7cUYoIWVtbU6VKFerUqUPFihVp3bo1zs7OeHh4aLr55GcfX6/Xc+/ePQYMGMCNGzcA2c1ZUrTIrmaPN5GRkfTp04eUlBTNmnnAgAF8+umnOb6ntAW6aoQtqgtqi3NL31g+uH79OuPHj+fmzZua/DnTmE5ZEOg2bdqUlJQUZf4ghbllD/GdR0REMHnyZEJCQoCswleAJkdHFIext7fHaDSSmpqqxMjF/21sbEhPT8fb25tvv/32oeajsoOupDwj55qPPnl1JQVKXPwofKO4Bjs7O77//nt8fX0L/RmlQPfRoqwJc8W5bG1tSUtLw9nZmZ9//hl3d/eH/oxSoCuRSCQSiRYpzpUA9zdw+/btS1RUFHZ2dqSlpWUT5qpRT+whK4itrt6vfm+FChVwcHCgXbt2VKlShc6dO+Pu7k7lypVzrciW2yRTCnQlxUluHfvGjBnDyZMnNUlDlpaWjBgxgjNnznDz5k1iYmI07xMLDXVirzieafJRfjrtGo1GRaC7Y8cObGxsiu17kJQuc+fOZfPmzdmEuatXr6ZRo0a5vk/YUHBwMB9++CEXLlzIsYMVPFigq/aXUVFRXL58mWXLlnHjxg2SkpIUWxUiSBFcUgvVLSwsmDhxIl26dKFZs2bK62QSZ/GTV4BH2IGzs7Nyf9QJu+rEdcGyZcv43//+B5BjMLpKlSps3779gQEb003Czz//nCtXrpCZmampeC3GeWFnzs7OtG/fnu7duytzibzQ6XQcOnSIU6dOsXHjRjIyMjSdWcV1u7m58f3331O7du2H+p4l+UN938PDwwkODmb58uXcuXNHmcPlhLu7OxUqVGDUqFHUrVuXFi2a06FGAAEAAElEQVRaKM8VdQD5QcJcQAmeW1pa8vPPP2frdmF6TceOHeP333/n+PHjREdHk5aWlu28FhYWeHp68sQTT9CtWzc6dOhQbJ9Rkh3TBMP8rhXE644cOcJnn32miMKE0FYtqrG0tMTOzk7Z/L57965yHNPujKbvtbe35/XXX6dt27bUrVtXc80FISYmhpdffplLly5lS/hYtmwZPXr0KNDxJI8Wwma+//57Fi5cqBRQEfbq5OTE+++/T58+fcrEPM1gMNCzZ0+laAPc/21YWlqyY8cO5bcgKX1u3LjBwIEDSUxM1HTR0+v1uLi4sGLFClq3bl0sdqU+5o8//si2bds4e/YsgGZOKcbxJk2asHz5cqpWrZqrr09NTeXChQu8++67GvtTJ6eZFvdSi93VIqPnnnuOV155BS8vL2xtbYv0s0vyz6lTpxg2bFg2wSs8nCCyqBG/meDgYObMmcO5c+c0NmUwGKhfvz7Lly/H09NTxjMfQXQ6HaNGjXqgMPdh4tViXbtgwQL8/Pw06xYRj1mzZo2moNCDjmdhYUFUVBSvvvoq58+fV+KaUpj7+KDedzFdc0RGRnLv3j0CAwMJCQkhNDSUc+fOkZGRQUpKiua16sJ+psJG9f/VcXB1oQt1XGj8+PHMnj27xL4DiQTyJ9D19fVl0qRJpSLQFah/qzKGVPqsX7+ezz77DCDbuCx8YmEFuvkR5sL9NbSjo6MmBpVT4QQ19vb2WFpa0qRJE2rWrEnDhg1p2bIlLi4uVKpUSfNaU38u7O+1117jjz/+oH///sp3IW1TUlTkJJpQFz6Uoonyy9GjR3nvvfeIjo7GYDAo+zTz5s3jxRdffGBOUVkQ6ErKL8LP7Nixg/feew/IGvvt7Oz43//+p9n3KwsCXdDGO6Uwt+ygLuQ/duxY4uLilHW1afy5R48e1KhRg65du2JjY4OTkxN3794lPDycyMhIfvvtN5KSkoiKilKOv3btWjp27PjQ46MU6ErKM3Ku+ehS1oS5prlFtra2+Pn50bRp00KPrQUR6DZq1IgRI0YwcODAhz6fpHDklbcJ2hze0hCN29vbs27dOiWftzBIga5EIpFIJFlIca4EuN9NYtu2baxcuZK7d+/m2BFXYFqJXzxmuhmXV3ddS0tLzM3NqV+/PnXq1MHHx4e2bdtib2+fraK/upqkSP4Rf0uBrqS4EQHGd955h507d2pEFLa2tixfvpyOHTty584dzp07R2xsLEePHiU2NpbIyEiio6M1iXcCtYBRJHcA2TbE4b5NiyT6pk2bsnHjRmxsbGRCXDnEaDQSExPD+PHjuX79urI4rVChAp999hndunV7oA8Ti/SQkBDmzZtHQECApvPYw3bQhftjhb+/P//99x+BgYFcuXIFMzMz0tLSlIBPjRo1cHNzo1evXvj6+tK4ceNs1yYpXvIjzBVdmNu1a6dsNOdkW+rHvv32W5YsWQJoBbrimNOnT+eVV14p0Cbh6dOnWbt2LcePH9d0tVWjtlmAWrVqUblyZRo0aICPjw92dnbY2toSHx/PvXv3OHfuHOHh4YSFhZGamgqgdP1R+9v69euzdOnSbAJLSdGivt/79u1j69atBAQEcO/ePU0RC1GAwsLCQumALJ63trbG1taWoUOH0qNHDxo1aqTpPFFYCiLMdXFxYfPmzdSqVStf5zcYDGRmZnLx4kVCQkJITEwkNjYWNzc3XF1d8fHxoWHDhrLgRikg7ntUVBRHjhyhZ8+eD7VWWLZsGWvWrCEjIyPbc8KGhd9RV6tWJ/eqz2cwGKhatSqNGzdm+vTpmrVRYdYxCxcuZN26dZoOjwaDQUlikpR/Tp48yahRo4CsIkBibGzatCmbN2/GysqqTMzX+vTpo4je4f712trasnv3bry8vErxyiSC9PR0Fi1axKZNm5TxUvgXOzs7Zs2axfDhw4t1vaq21d9//52NGzcSEBAAoNmMBrCxsWHQoEG8+uqrVKhQIc/j3r59mw0bNuDv709AQICmaIzwweoYlfr/gwYNonnz5ko1aknpcujQISZOnKiJVVpYWFChQgX8/PzKTIEenU7HF198wfr16zXrITFef/PNN3Tp0qWUr1JSUIqjY25O/PPPP7zyyivKv9UJY/Pnzy9Q8k1OAl0pzC3/5HVfTcc/0/fFxcWRlJTE4cOHuXXrFkeOHOH27dskJiZq5gbq8VOdFJ7X1qQ6qVd2z5WUBjkJdNUiHyHQnTJlCp06dZJCHgmQXaBrWtC0MALdBwlzc9qnF0VfTAvVCNQxfnUhL/FaOzs7KlasSLt27ahatSrdu3fHyckp13X5lClTMBgMfPPNN4DcD5IUPaaiCdP1uhRNlF9WrlzJjz/+yM2bNwFwc3Pjp59+emAhXynQlZQUISEhzJ49m6CgII3gdsKECcycOVMZxyF/At1nnnmG0aNH51ugq+bYsWPMnj2bW7duZYuRmh5LPC+FuaWP+M5v3LjB8OHDuXXrVrb8DkdHR5566imeffbZB8aUkpOTiY6O5scff2T//v107dqV1157DVtb20KNi1KgKynPyLnmo0dewlzTOOTs2bMZP3685n0PQ0GFuRs2bMDX17fIxtaCCHTd3NxYunQpbdq0KfR5JQWjrHXMNRXmqm2zqPZ98ivQ9fT05PPPP9c055BIJBKJpDwhxbkShXv37vHLL7+wcOFCUlNTc6y2C2gWn2KyKCZRInidUwVe9cQxJ7GinZ0dZmZmNGnSBBcXF9q3b0+tWrXw9vbOsbuJupL7V199xY4dO6RAV1JsrF69msWLF2uCiQAffPABw4cPz/E9sbGxREVFcevWLfz9/UlMTOTChQvExsZy9+7dbJ3SxCJEnYwpggWi28+mTZuwsbHRBPAl5Qt/f39GjhwJoAjWhg0bxvTp03F2ds7XMYSPCwkJYf78+Zw8ebLQAl3TAEBGRoaShHfnzh0cHBywsLDA29sbR0fHh/nokiIgP8JcNzc3Vq1ale9KZOp7P2/ePDZt2gRkL8zRrVs3pbvug1CPw+Hh4ezbt48NGzYQFRWlBGfU8w3IslvxvJqcqv2rxRLicxiN97vw+vr68sEHH0iBTzGjvs/btm1j8eLF3L17V0lMV4+npq8XmHYSbdCgAa1bt2b27NlFkiCRlzDXNEBZUGEu5D+BXSa6lyxqXzlgwACsra2ZNm0a/fr1y/daQW077733Hjt27FCeM10vmSalq/82LUDQrl07xowZQ7NmzXB1dS30Ro2wrS+//JJVq1Zp1nA6nY5p06Yxbdo0mWzxmPD666/z22+/aRJ9hMhw5MiRvP/++0DpbSbrdDoMBgMDBgzg6tWrmsR3KysrfvrpJ+rUqSPX8qWIsI3bt28zceJEgoKCsvmVVq1aMXfu3BIRPqptdc+ePaxfv55z584BWoGuKCL00Ucf0bFjx1zHXfG4TqcjIyODnTt3cv36dfbt24derycmJgYAa2trMjIy8PHxoVKlSnTr1o3mzZtrOlRKv1p6CLvYvn07c+bMyVY00M3NjV27duW7SFVxIq71zp07DB48mIiIiGy/KeGfpU09OpSUMBfg4sWLvPjii0qxI8haCz/MeYQfjIiIYPfu3UybNk3zuKR8cP36df777z9F8FoQ/5JXd920tDRSU1O5ePEiwcHBhIeHc/LkSdLT07lx44bmtQ8qXKmOlcP9NZcoNCORlBT5Eeg2b96c6dOn065dO7lfIwGKp4NuXsJcyN7JVjwGZItFPej/eRXetrOzw8LCgtatW1O9enWaN29O48aNcXZ2xtXVlRs3buDp6QnI9ZCk+MhJNGGaiG4qmpD2+OiivnfffPMN27ZtIzIykt69e7No0SLFb+XnGFKgKyluli9fzsqVKzXjqbOzMz/++CNeXl4aey4tga4U5pZNxH25efMmkyZN4vLly8pcT6yLK1WqxLvvvkubNm1wd3dX3gfZ53um9/DSpUs4OTlRrVq1IrnevAS64nqkQFfyqCLnmo8eYWFhjBgxgri4OE3HXHUOmTquWBziR/V5i1OYK8hLoCsKdOn1ep5//nm++OKLIjuvJH+oc5EeZJtvvfUW48aN07zvYSht0bggL4GupaUlZmZmZGZmMmbMGN55550iO69EIpFIJGUJuVMoUXBwcKBPnz4AGoGuqJQLWYFpgDp16hASEqLZnBPJY4Ai2BVBF7UAQ73JJyZ5aWlpGI1G/P39MRgM/PXXXxiNRipWrEjdunWpVq0aTzzxBC4uLjRu3Bg7Ozusra0xNzdnxowZWFlZsWnTJu7cuZOtqntoaCibN28GkALdRwDTe1MW7lXFihWVv9XJQSdOnGDYsGGazn8i6a5y5cpUrlwZgGeeeQaAO3fuoNPpCAsL4/z588TExHD8+HHu3r1LdHQ0gOY3JboH+vr64ufnJ4W55YyckhvDwsKA+92d0tPTAejSpUu+hbmQtZCvXbs27733XjaBrjq54rvvvgN4oEBXLMaFz7aysqJatWq5BvFlALLkya8wd926ddStWzffvlXdoXTYsGEcP36ckJAQIKsrj9Fo5NSpU0RERORL8Ko+b40aNRg6dCgdOnRg3rx5BAcHk5ycjMFg0CS+ifmIGOPVgXDTwglqX6wuINKoUSN69epFv379FP8sKR7U9rVx40Y++eQTIGsMFffHNMlLvNe0q4PwWcHBwQQHBxMYGMjbb79Nw4YNcXJyeqhrfFDHXDMzs0IJcwHldervIyf/KBPdSw7x/YeHhzNixAju3bvHvXv32LhxIwaDgRdeeCFfawW1b5w/fz6Wlpb88ccfJCYmKv5L7X8gyw7UFXbFb6B9+/a0b9+eyZMnZztPYXjQ+0WSUWnPtSUlQ4MGDdizZ4+S6KMubHHo0CH+/PNPnn322VKzB0tLS+Li4hQBpPo34+Pjg4eHh7TVUkZ8/zt37lSEueIx4c8GDhxYYh1J1UnkvXv35t69eyQmJhIeHp4tLhQeHo6fnx8dO3ZU5hmm9iTGY0tLSywtLRXR0uTJkzEYDFy/fh0zMzMcHBzQ6/V4enri7Oyc4zgu10KlT2pqKpC9M2N+kndLCrE+r1ixIt27d2fdunXKHFkktAUHBwPSph4VSkqYK3yYo6Mjtra2pKWlKT7RYDBgbW39UAJ0sYb28vJShLkyDlm+CA8PZ+jQoSQmJpKRkcG4ceNyFdvmhHiN+rXCHq2srLC1taVjx4507NgRgKSkJHQ6HQEBAcTFxXH8+HGuXbtGTEyMsnYyLdwl7FDYnk6nY/78+QBSoCspUby9vVm6dKlGoAvaGM/p06f53//+h62tLS1atJDjtUTpdvLZZ59p/Jj67w0bNgDkS6Cbn4656v120/W+aXEudZEFgWncElDmosKmRQJlamoqBw4cAOCHH37AxsYGg8HAZ599xrPPPqscT/4WJMVFjRo1mDdvXo6iCWF7ycnJzJ07F4DevXtLe3yEUc9TJ02ahF6vZ8OGDTz55JP53lNRH2PMmDEAikBXPC584Pnz51m1ahWAFOhK8o2wo3HjxvHff/9x6tQpZY8oMTGR7777jnfeeQdbW1vlPb6+vrz++uvZBLrqve2//vpLeX2rVq2yFeLIi/bt27No0aJsAl0pzC2bmJmZkZCQwKJFi7h8+bKmALnI7/j6669p2rSp8p7cCl5D9rye+vXrF+n1ijmtq6srmzdvzibQVc83g4KC2LhxI4AU6EoeCeRc89HBaDSSkZHBjBkziIuLw9raWtO0BO77RXd3d2rUqFEk58tN/CjOK/4uTvEjZM1vmzRpwpIlSxSBrjq/rl+/fixcuBCQ43tJY25uTkxMDP379yc1NRUbGxsyMjIAbU7O+PHji1WYK/JFxd/CNv38/GjatGmx2IWFhQVt27ZV/n3s2DH0ej1WVlbKHKF///5SmCuRSCSSco3MqpBoyE2ga9pB18zMjE6dOvHVV19x+PBh/P39iY+P5/Tp0wDZhBbq5HRASZIUm3tiw1AdUBSBpqSkJE6cOAHcn0AC1KpVCycnJ3x9falXrx4NGjRg/Pjx3Lt3j4MHD3Lt2jXluGISKQW6ZRfT+yD+TklJwdzcHHNz81Lf/GjSpAlOTk6kpKRgMBgU27127ZqywIYs0ZEp4jM6Oztjbm5O5cqVla46YgEWHBzMjRs3uH79OqdOnSIlJYULFy7QoEEDvv/+eynMLWeoxV3//fefkrQWHh4OZPnRrl278uSTTxb4+GqB7vvvv8/8+fM5ceJEoQS6oE3GyM/rJCVDQYW5BQ2yCFv19vamWrVqmm52ImEnLS2NlJSUh7p+W1tb6tevz5o1a/jpp584fPgw//zzjzL/MBW5qbsCic8PWWJhkZAkfkd2dnZ069aNiRMn4uPjg42NzUNdpyT/CB+xY8cORZirLmJhNBrR6XTY2tri5OSEu7s7qampmo46aoGjaRfloKAg3nnnHQYPHkzv3r2Vrgz55UEdc9XB84cV5ub0fYD0j6WJ2DQLCwtj2LBhxMfHKxs1169fV9YK+RXoqjfIP/74Y2rVqsWBAwc4evSopjOK2m7E46KTd6VKlRg/fjxdunTBw8MDKNoNEnH9ycnJyr/VPrRSpUqa10nKJ8KWx44dy4EDBwgICMjWTScsLIw9e/bQsGHDItmkfNhrFGI6dRxCFO1ycHAo8euSaBH3SS0WFIneRqORjh078vzzz2teW9yo40iDBw8mOjqaNWvWKEI4daLl/v37Wb9+PWPHji3QtYk1UpUqVXJ8Xm5sly3EvbW3tweyd2G0t7fHysqq1K7PFDFH6NKlC+vWrVOKxIj/QkNDCQ8PLxXfLCkYJdkxV9j5mTNnlHkeZCXmWFhYPHQs1XS9I+OQ5QcRM0pMTATu7//o9XpeeumlAgl0TVGv1UHbnbFChQpAVuHKIUOGYG5uTkREBBcuXCAyMpJ///2Xu3fvEh4ezr1795SYpRToPp6EhoZy4MABReBY2uQk0FXvZwIEBASwbNky5syZQ506deS+o6TIBLoPEuaKuBTc329ycHDA2tqaGjVqkJqaisFgIDMzUykMLIrBivcIexao46+AJhavXnepx4p79+7Rp08fRZgr3ieRFCcPEk2I383rr7+udHmWPLqo56lTp06lfv36dOnSBch/7EkKdCXFiRgXbWxsaNu2LadOndKM0WfPnuXOnTtUrVpVs+YqLYGuFOaWPTIyMvjtt98ICAgA0BS4dnNzY9OmTXh7e2vufX59X3EhBbqS8oycaz4amJmZYWNjw1tvvcWcOXO4ceNGtm7xANHR0SxfvpyEhAT69ev3UDHQvIS5prlFxS3MFZgKdF9//XWlGUzfvn2lMLeUuXbtGp6enly5coX09HRlbmdaOH3AgAHUqVOn2DrmGo3GEhPmCnIS6Io9sr59+/LZZ58B0jYlEolEUn6RmRWSbOS3g+769etp1qwZo0ePZvTo0eh0OkJDQ0lKSuLgwYNERkYSFBSkCCzEhA+yEuJEoroITKonoCJxXd0hT3QRFYHyM2fOKK9v0KABZmZm3L59WzmWaXBSCnTLJuL7v3r1Kjdu3OCnn34iMTFRqaxfoUIFWrduTdWqVenTpw9WVlZYW1uX6CTdzs4OQCMGE52dbt26lWuSrsC0SqFAbKBbWFjg6+uLr6+v8rjRaOTy5cvUrl1bEdnJhLjygVqk8/777/P777/zyiuvMH78eE3VVKBQ3T2FD6xVqxbvvvtukXTQlZQ9iluYqz6PlZUVPXv25L///tMIcy0sLEhPTyc+Pv6hP4der8fGxoahQ4cyZMgQfv75Z44fP87ff//N3bt3gawAo/CF6vOrBZziWm1sbBg+fDitWrWia9euD31tkodj//79fP7550B2YW7jxo1p3rw5w4cPx9HREVdXV/R6PWlpaVy8eJGQkBDWr19PdHR0tg7JYlMyMjKSdevWcfnyZV566SUaNmyYr+t6kDBX/F1UwlxJ2UFUn542bRrx8fHZ1jiFFeiOGTOGp59+mv379/Prr78SHh7OnTt3AG3xoubNm+Pm5saIESOoXr26RmxTHN1FYmJiOHTokHJ8dSGkatWqFem5JGUTMSe0sLCgd+/eXLlyheTkZMW/Cjveu3cv1atX56233gJKTlwprhFgz5493L17V/kdiGvr3LlzoUQjkqLBzMyMGzducPDgQSC7jdSqVatUOnKrO0C9+uqrhISE8Oeff2JhYaHpDGFmZsbJkycZOnRotnVXYZA2WTYxnbeJ4jCxsbFERUUVedeIwmA0GvH19aVOnTpKwUERF4qLiyM+Pl6Kc8s4JSnMhaw1jUg6EjEeMbZ36tSJRo0aFdn5JI8+oaGhjBo1SokZCZ/4xRdfABRaoKsmr2RhYaNeXl54eXkBMG7cOAwGAwEBAfz1119s3rw5VzGbFOiWb8LDw3nxxRe5e/cu6enpTJo0qbQvCbgv0BWdSNQCXeHrDQYDx48fZ+nSpSxduhRra2sZQ5LkKNA1LTqQl0D3QcJccQyAxo0bU69ePYYNG4azszOenp5KUeDU1FRu3bpFeno6Z8+eJTw8nGvXrnHhwgUyMjKyFdsUa3B1d10RU1AjCr9JUY+ktMhNNCHiAwB9+vSRYolygnqe+vTTTyuPFyT2JAW6jxelkQNmZWXF8OHD2bVrFzExMcq4ffHiRb7//nvefvvtbONkSQt01fNYOYaXPuJ7T0xM5Oeff+bWrVua/btKlSqxYsUKvL29y+T6Ij8CXWHHUqAredSQc81HA6PRSIcOHfjss8944403iI6O1uwJigLD58+fZ8OGDZibm9OnT58CxUAfJH4sDWGuwFSgO2rUKJ566ik5vpcBWrduzezZs1m1ahUBAQEajYQY669cucL06dP56quvqFevXoHPkVfHXLEvpRbmbtiwodiFuQK1QNfMzIyjR4/Sp08faZsSiUQieSyQKi9JjjxIoCv+njlzJnfv3mXw4MFYWlpSs2ZNLCwsaNmyJXC/Q1NMTAxhYWGcPHmS+Ph4Tp48SUpKCgkJCUBWonpu3XUBjZjDtDqvmLwGBwdnC0SqqyHJDrplC/V3npSUxI4dO9i8eTNxcXFKtyT15q+oErht2zaaNWvGuHHjSjQxsXLlynh5eSkdggwGAzqdjvj4eC5duvRAcW5u5NRpV5043KBBA+V8UphbPlAHzj/88EN+/PFH4P4GoKWlJRYWFpoCBkKwXZjuFaKD7nvvvScFuuWMkhLmQpbowNHRUSMyE/7KwsKiUB2oxO9CHK9///707t2byZMnc+zYMU6cOEFwcLDSsVwEk9Tfg6WlJU2aNMHd3Z0XXngBLy8vateune11kuInIiKCnTt3kpSUpPghMZd75plneO2116hWrRp2dnaKX7S0tMTGxob27dvTvn17nnvuOXbs2MG+ffs4ffq0MjcUQgVzc3MSEhL4+++/iYqK4s0331TmoLnN7aQwV1KhQgU6dOjA3bt3lc4h6sSbhxXoitd4enoyatQonn/+edLS0rh+/Trx8fHY2tri4uKClZUVDRs2VIqzCNTzv6JC2HtcXBzJycnK3FoUPPLw8KBx48ZFdj5J2UbYV/fu3dm2bRvBwcHKHFCsNXQ6HevWraNy5cqMHz9eI3gsTtS/sStXrmgeE3OOZs2aAVIEWRZISEggIyNDkwxubm6Ovb09AwcOBEonAU4dH/r000+JiIggKChIYzNGo5F//vmHEydO8MQTT5To9UlKDmF/7u7uGoG2iBHqdDql+E9ZwczMDEdHR7y8vLh69aryuChwo15/ScoeJS3MBZQ4gJ+fnyaRXMQBfHx8gNLxx5KyR3x8POPHjyc2NhYbGxsyMjI0wq7iEOjmRm5xcEtLS9q1a4eHhwdmZmZs2rQpVzGbFOiWT0RsU4zRS5cuRa/XM3Xq1FK+svv4+PiwZMkSZs6cycWLFzWFA8Xv5p9//uHDDz9kwYIFimhXrl8ebx62g25mZiZWVlY5CnMBzVps4MCBjB8/Hi8vL414TBQctrOzo1KlSkDWutpoNBIfH098fDyHDh1SirolJSURFxcHaLvrinWWeo9einokZYGcRBPC//br1092iypnFMU9lALdxwNxL+/du4dOp8PZ2blEzqvX63F3d+fll19m0aJFSpc0g8HA/v37ee6553IUcZWUQPftt99W9sTkGF42EN/76tWrOX36tCau4+joyHvvvafYTFndo36QQFdd9EUKdCWPGnKuWfYR42Hr1q354osvsgl01TGbCxcusH79eoB8C3TLsjBXID5H48aN+fnnn/H09ASkXZYmoltt+/btMRgMfPvtt9kEuiJX9/r167z22mt8+eWXBRLoPsg2Ibswt6RtUwh009PT6dChAy+//DIgbVMikUgk5R+p9JLkSm4CXfUEUafT8cEHH2Bubs6gQYM0XXAtLCywt7endu3a1K5dm27dugH3Ozfp9Xr8/f25fv06QUFBSoXepKQkIEtUK5IrTYW7YoIpziUEnKCtkKl+vWkH3R9++EER/zg5ORXb9yjJjnrx+9dff7Fnzx727t2rPC+CGQL1hDwoKIigoCB+//133nvvPdq3b1+ozqL5xd7eHnd3d4KCghQ7Egl3oltzUZFT8FEuSsoPInD+wQcfsG3bNsWOwsPD2bZtGzY2NpqOpKLCeWGQAt3ySUkKc9Xns7Ozw8bGRkmOFMnizs7OuLu7F8lnU3d29Pb2xtvbmyFDhpCSkkJ0dDQpKSlcu3ZNGS/E6xwcHJQk5JyQvrT4EXZy6dIl/vvvP00XEaPRyLPPPsuiRYuwsbFR3pPThqJer8fV1ZWxY8fSu3dvli9fzq5du4Csoivi/+np6Zw+fZrZs2czb948OnTokOvGtLABPz8/JaE3pwClFOaWT4R9vvXWW9jZ2bFjxw7i4uKyJd48jEDXdJ3i7OxMxYoVqVq1aq7vUR+zODafhb1/88033L59O5tow9vbW5mHSP/4eGA0GqlSpQofffQR48aN06zx1cnBixYtwtbWluHDh2sqDBcX4tj79+9nz549msfMzc155plnlOILktJD2EFgYKCSXCbuk16vx8rKigoVKgAl2zVXjZhzODg4MGHCBObPn098fLwiNBc2vmfPHtq2bYu1tbX0f+UQYX81atTA2tpaKQAnivxlZGRw8OBBWrVqpcxVSxsxFou1jHr+rNfruXHjBq1bty7di5TkSGkIc+F+QcwdO3aQlJSkiZuLAiwi0VwmOEoA7ty5Q4sWLUhKSiI5OVnZw1HP/0pSoKvG1Ea9vb0ZPnw4ZmZmbNy4UQp0HxNy6+y8bNkygDIl0F20aBFvvPEGly5dUsSKIm5kMBjYuXMnNWrUYMqUKXKeKQEeTqBrZWVFQkICI0aMyLNj7pgxY3jnnXeUcz1o7S6eNxgMuLq64urqSt26dYH7v7O0tDQCAgIICQlR9u6Tk5NJSUnR7P3LZHRJWUKIJj788ENOnjyJTqejf//+fPbZZ4C0T0l2pEC3fCPu4fXr15k1axa1atVi6NChtGnTJttrihoRX2ratCnOzs5KF1Sj0Uh4eDinT5+mefPmOY7XJSHQXbhwIePGjaNnz55SmFuG8Pf3Z//+/UrcUsz3nnnmmUcmFpifDrpSoCt5VJFzzbLPgwS6IqeooALd/Igf1cJcPz+/Iu9Kqs5TystXivNJYW7ZQNwnKysrOnbsCJBNoGswGJRc3WvXrhVIoJuXbYrYTWkLcwUWFhY8+eSTdO3aFZC2KZFIJJLHAynOleRJXh101WKu999/H0AR6ApRmZhMqSeFQrjTt29f5TyJiYnExcVx7NgxYmNjOXr0KAkJCURHRyuJF4BGhANZolwh5jU9l/px8Xpzc3PMzc0JCQlh+fLl1KxZk86dOxfhtybJC3EP9Ho9y5cvZ+/evVy7dg1AE5xTC6rFfVZ3Z0xISOCDDz5gxIgR9OvXT9lALg7EwkhUlxaLcyGgPHnyJP3795fiHUm+OXToENu2bQO0YvWrV69ib28PZFUmF7+Pwi5OpUC3fFHSwlzICiBduHCB9PR0jWjGYDBgZ2dXqM65OZ1LXLNaGFyrVi0AmjRpkucxZFCndDA3N+fu3busXLlSSfoVY2aLFi2YNWuWUoTgQZ1IAaytralevTqfffYZPj4+/Pjjj9y4cUMj+hXHuXHjBq+99hqLFy9W5nY5nee3335TEnmtra0VPyg75pZ/1MkMr776KkCRCnQhu//Kz2uLk99++43AwEDN9Yi1Vf/+/XFwcCj2a5CUHcR8sHnz5rzxxhuaCv6mRbjmzp0LoIgjipuoqCh27typrPfUa8LmzZsX2RxD8vAIO0hISADQbGobjUbq1q2Lh4dHqc/BxLlbtWpFrVq1iI+P19g4wOnTp0lPT8fW1rbUrlNSvBgMBhwdHalYsSKpqamaSulwf00j/E1ZQNitEOeK31tOcU9J2SEnYa6ZmZkizF25ciVPP/10sZz7woUL/PPPP8paRmBlZUX//v2pXLlyqftjSdmhdu3aTJo0CQcHB37++WfS0tLKlEDXlJo1azJs2DAAjUDXVMwmBbrlg4SEBMaNG0dsbCy2trakp6drBIhlTaBbt25d5s6dyzvvvKMpHKiO8f/yyy80bNhQSTyTSHIT6KrX4Bs2bECv1zNlyhSsrKwYOXJknh1zx48fz+zZs4Gs+Gd+Y1bqObB4r5OTE87OzvTq1Qu4vz+VmJhITEwMhw8f5ubNmxw4cIC4uDiefPJJKcyVlClq1KjBxx9/zLRp02jcuDELFiwApH1KckcKdMsn4t6Fh4czatQo4uLiuHz5Mnv27GH8+PG0bt2abt265ZjDVpT4+voybNgwvvrqK824v2LFCjp16pRrXlNxC3TbtWvHL7/8Qu3atQHpI8sK586dIyIiQvm36DTbq1evIiuKXhJIga6kPCPnmmWfohboPoz4saiFuWIOYTQauXXrFu7u7vk+vrTLskNRC3Rzs01hjyXRzVnYZn5Rj+/SNiUSiUTyOCBHO8kDEQJd0WFKPcESE0SA999/n+3btwNZAW1BTkEUkVim1+txdnamdu3ajBgxgtdee41169axY8cOvvvuOz755BPGjx9P06ZNqV69ulKJWlQJFpM2cR05nUvdkUr9fMeOHaUwtwQRgUSdTse7777Lhg0bFOGhCCirN5FN/1PbjKWlJampqWzYsIENGzYQEhJSbNctNqqbN2+uEX4LGxedc8tKUqek7NOlSxdef/11qlSpgsFgUASVgNLVR2z8BQcHEx8fr/GpD4upQLdNmzZKNwLQ+vTvvvuO9evXExcXV+jzSoqW0hDmQtZYGh4ervm34LnnnsPDw6PQ58kJcf3qc5oW5sjtPZKSJzIyktu3b2crqtKpUyeli2hBNthEgHvy5MnMnDmTdu3aKY+rx14LCwsSExOZPn06Bw8ezLVYS1paGvXq1cPS0pKMjAwpzH3MMBXoDhw4UClEYVoQRgh0d+7cSXJysmY++igQExPDX3/9pYiPxdrJzMyM2rVr4+vrW9qXKCkFhG984okn6NWrl7KRKDYo1fPBuXPnsnbt2mK/JqPRSEBAAMeOHVM2ScV/nTt3Zty4ccrrJKWHGI9FspC6iAqAnZ0dFhYWZWYO5uHhwcSJE4GsogRwf74QFhbGf//9B0i7Kq+Ym5vj4uLCE088AWSJycUYf/z4cX799ddSvsrspKenAyjxMTEXlUWzyh6ZmZmMGzdOI8wV/wHMmzdPEeYWlZ8Rfvj27dssX76ckJAQxeeKtZe9vT2dOnUCUGKw4prUf0seH4T91atXjxEjRtC3b19sbW2V9a66YB/AF198oRTtM93jKUmEQHfkyJGKLee0JzV//nz8/PxK5RolRUNqairdu3fHwcFBEY6DNtFr2bJl/O9//yvNy9TQuHFjZs2aRfXq1ZXO5YCy7r527Rp///03GRkZpXylkrLE2LFjlaRJtX2rO4Rv2rSJZcuWMWDAAK5evarpmCvi/qAV5qpt8GEwLTKnnrdUqlSJhg0bMnHiRD744AN27drFX3/9pfweZTK6pCxRo0YN1q1bJ8USknwj5rpmZmaMGTOGoUOHKgWzTPcJhED333//leN7GUW9dz5s2DDi4uKwsrJSxrm1a9fy7rvvMnv2bC5duqTs9xT1ekccr2fPnjRt2hTIWr+kp6fz999/K0LFnBAC3ZYtW2JlZaXYqLpg8V9//cWGDRsICAgAyNe+lXheCnPLFjdv3lTWs+omKMOHD6dLly6leWnZMLWxnGzOVKDr7e2t5K8IOxZ2JwS6e/bsUfbqJZKyjJxrln1MBbqimLA6Z0jcMyHQ/eWXXwBtDLQsdCVVC3OHDx/OwIEDCQsLK9VYreThEQLdl19+mVatWgFZOfTib7VA9/Llyzkep6DdnIvbNletWsXZs2eL5LgSiUQikZQn5CpBki9yEuiKTXJ1MsScOXNyFeiaYlqhVx28sbW1xdHRkTZt2jBo0CBmz57N5s2b2bVrF6tXr2bBggX07t2b5s2b4+rqCmRtfKsT7iwtLTWCXHXCcb9+/fjyyy+V90qKF5Hwo9PpmDp1Krt371ZEiBYWFpr7r76XpkICsZgWx8vIyGD37t38/PPPiki2uKhYsaJybrhvw+bm5kRGRpKUlCSTeiX5QtjPxIkTGTlypJJkq154Q9bvICAggDNnzij+q7BIge6jTWkJcwVHjx5l165dyr/V1aNr1KhRZOfJD+pNGrlhU7Y4evQot27dUvydTqfD2dmZvn37PlRVcfWGZO/evZk6dSp9+/ZVji3mkgaDQSneMXXqVEWga7oxPWDAACZNmkT9+vWVx6Qw9/GiPAt01euazZs38/vvvwNoNr+NRiMdOnRQEjEkjydeXl688MILtGnTRvGzYs6gThRetGgRX375JTExMcp7i+o3II4TGBjIwoULSUpKUgRORqMRT09Phg4dqrxWjvdlAyEeFPdP3Bc7O7tSu6acEF2X27dvr6zd1UW2rl69Csh5ZFlFzCMfFmGfIrFWrFvU697Tp08X6hzFgXoeAmiSPSRlB6PRyEsvvYS/vz82NjYaUa7g2rVr3Lx5EygaPyPWPUajkXfffRd/f3/NWl8kX3z44Ye0adNGeVwda8qrgIKIw0rKH2r7q1+/PiNHjqRv377Y2dlp7EM9//viiy9YvXo1UDYFukajUXO9UqD7aFO1alXGjh3LyJEjsbGxUe6tmZlZmRXoWlpa0q5dO4YMGYKzs7PmNyJiST/++KNSDEYiEZgKdE2LJOj1erZu3Up4eHi+OuYWR/wyp+66cH+uUKFCBaWDm0xGl5RFRM6IOvFeIsmLhxXoitiYpGyQ1965eqxMTEzk559/ZsaMGXzwwQdcunQpW25GYRHHq1GjBo0bNway9jgzMzP5888/ycjIyDPvozgEuqZxCekjSxdxr2JiYkhNTc3WtbF58+aa15U2ohhMRkYGYWFhQO6xroIKdP38/Ni+fXuhY8ESSUkg55pln8IKdEXnUcjelVQUzipJ8ePo0aM5deoUcXFxzJgxg9DQUCnQfUQprEBXbcc5icaNRmOJi8a//PJLtmzZQlBQUJEcXyKRSCSS8oJcKUjyTXEIdNWogzemk0KDwYCVlRX29vZ06dKFF154gcWLF7N161Y2bdrE6tWrmTNnDj169KBdu3bY2toq3ShFEq/4v8FgoG/fvixcuFA5tlw0Fy9qYe748eP5999/FdsRiwSRgN2kSRM6d+7MxIkTmTRpEj169KBu3brKQkIIbwAlAJ2RkcGGDRs4dOiQcr7ioF69ejg6OipVNkXy3Y0bN4iNjZVJvZJ8oRaZvfzyy4wZM0YjCFILydRJcaGhoUVmYw8j0C1u8bvkweS1uSg2OopTmHvr1i1+/vlnpVK/SN7V6/W0atWK4cOHF9m5JI8mwocIQb/wIwBVqlTBxcXloTcS1RvV7dq1Y8KECYwcORIgxzmpXq/ntdde48iRI0DWPFMt8h07dizNmjXDYDBQoUIFKcx9zFALdGfMmMGgQYPyFOhu2rSJn376qUwLdNUbSt9//z3ffPMNgEbsaDQaadGiBdOnT1feI3n8EPe9bdu2jB07lvr162uS0UAr0Fi1ahVLlizh+PHjAErycGExMzPj6tWrvPHGG8TFxWmSj62trenUqRNt27ZVXispXcTYaGtrC2T5SuF3hHiwrGwKm5mZ4ezsTNOmTZVYgpmZmfI5/P39yczMlIk/ZRAxF8vMzGTXrl3Ex8cX+BjCZwwYMAAfHx/NfRbPbdy4UYkjlTbidyMSfNVFkOzs7HBycpJjdhkiPT2drl274uDgQHp6uuIHRSEAgHXr1vHdd99pils8LOoxedq0aRw8eFCxEbXP7dGjBxUrVmTt2rVMnTqVUaNG0a9fP/r168ewYcMYO3Ysc+fOZcWKFfz8889cu3ZN6YauLm4pjllW/LmkaKlXrx4jR46kT58+GoGuqRBy8eLFZVqga9rxVwp0H22qV6/Oiy++yNixYxWBbk57j2VJoOvk5ETPnj2VhDoRK1XvX61atYrY2NjSvExJGSQnga6IsYuxWL3mzqtjbknGL6WoR/IoIWNIkoLwMALdQ4cOyQ66ZQSxFx4eHq7ZO8/MzNS8RqzXzczMCA0N5bfffmPo0KEsXLiQgwcPAlljW2HXPmKf5tVXX1WEiXB/TA8ODmbFihVA3r6quDroSsoG4t7//PPP3LlzR3lcr9fj4+ND9+7dNa8rbSwsLEhOTubrr79m7ty5bNu2Lc/X50egK9ZMQUFBxMbGyn15ySNFWfltSnKmMAJdsc9pKn7MzMwscfHj6NGjOXnyJJaWllhaWhIcHMzMmTOVDrpyzH/0yEugK+JCOQl01SLenDrmloZtnjp1CoCdO3eyfv16KdCVSCQSiUSF5YNfIpFkIQS6AAsXLiQ1NVWZ6IkJok6nY86cOQC8+OKL2aq8PQw5vVdsPHp5eeHl5QXA4MGDsbCw4MqVKyQlJXHixAkuX77M9evXuXTpEjqdjh49erBo0SJACnNLArUwd9SoUZw6dUpJulZvKrdv354uXbowevRozM3NNR2VMzMz2bx5M4cOHeLIkSMaIZq6S96iRYto1aqVYg9FjYeHBxUqVCAqKipb9eiEhIRiOaekfKL2ixMnTsRoNLJhwwbi4uKUx9UJGTdv3mTHjh2MHz+eihUrFsk1mAp058+fz8mTJ5VKcGqf/t1335GRkcHLL7+sCJckJUtem4uigl/lypVZvXp1sQhzAU6cOMHBgwc1xzYzM8Pe3p5evXpprlPyeCI2hUNDQzWPm5mZ4e7uToUKFQp1fHWxlfr16zN27FgcHR1ZtWqVMjfQ6/WK/0pNTeXNN99kyZIltG/fHtD63z59+pCeno6trS0ffPCBFOY+hqjt4dVXXwXud7dRj8dizhcaGsrmzZuB+0IfR0fHMtfJU1zLpk2bWLBgAYBG7Gg0GnFzc+P555/HwcFB8x7J44Xanz755JPcu3ePZcuWER4erti+KHYl5oO7d+8mLCyMbt268fLLLz+Ur1T/ZjIyMjh16hRvvfUW0dHR2daIDRo0YPLkyYUeOyRFh7ANMdczNzdXCm0BREREkJaWho2NTWlepoKwt6effprNmzeTnp6uzBMAbty4oRSCk5Qd1H5gyJAhBAUFMWvWLAYPHoyLi0uBjiXiRY0bNyY0NBQLCwvFZoVv+/rrr6lRowbe3t7F84EKgF6vVxIqxe/KaDRSt25d6tevL8fsMoStrS2DBw/Gzs4uz/j4pk2bMDMzY+LEiUqXuYJiKsz9559/NII1NSdPnmTv3r15Hk8U2gBwdHTE1taW1q1b4+bmxhNPPEHVqlWpWbOmxt+r41TSDssHQqAL8Msvv5CamqokeKvnf4sXLwZg4sSJRbLH87AIgS7cL6ygvkb13/Pnzwdg1KhRJX6NksLj6enJiy++CMD69etJT09X1gjq+7xs2TIApk6dWpqXC4CXlxcvvfQShw8fJiMjQ5lrCP8cFRVFQkIClStXlj5UomHs2LEAfPbZZ5qYprrYNKAUJQCYMGECb775JlDywlyJRCIp76jnumPGjAFg69athIaGZtsnEAJdgCeeeAJra+tSu+7HHSGuCQ0NZeTIkZqi1qZCVXVxK1G8LzU1FT8/PzZv3szgwYPp2bMnTZo0wdraulBrH3GuChUq0Lt3b7799lsgK9Zz5swZbty4gaenZ55zRCHQXbx4MYGBgUpOgNiL1ev1/PXXX8rrW7VqpYn7S8o+6oKE4t5Vr15dibuXhflefHw8ISEhfPLJJ1y+fBmj0Yi7uzuDBw/O832mAt3hw4cTFhamacQB0KdPH1577bXi/hgSieQxw1Sg+8YbbxAdHa3EuMUcwmAwcOHCBdatW4fRaKRv37788ssvmo65ouBHaQlzRQF2S0tLLl68yIgRI9i1a5fM3XxEEQJdgG+//ZaAgABlzDcYDNkEukuWLKFBgwZAzsJcMzOzEu/mLGxTPPfzzz9jZmbGiBEj8PX1LZJzSiQSiUTyKCPVE5ICk1MHXTHhKooOuvnFNBAlOvkB1KlTh1atWjFlyhSWLl3Ktm3b+Pnnn1m3bp2yeS8FRMWPutuJWpgrAsZiU3nq1Km8/fbbTJgwQdOVVhzD2tqasWPHMnPmTAYOHAhou+QJG4yPj2fDhg1KVaCiRFyrSAYVFVINBgOpqalKRSCJJL+o/eLLL7/M6NGjNR371OLHlJQU9uzZw7///qt00ikK8tNBV3TG2rBhg6Zyp6TkUG8umgpzhS+ytbVl06ZNNGjQgIyMjCIb30QyWXBwMEuXLiU+Pl6p5i+CQx4eHjzxxBNA9vFe2JKs2vd4IMZldbK4CG7HxMSQkpJSaFtQbyh7enoyYsQIpk2bBmTvoGtubk58fDzvvfcegYGByvvUdjpo0CBWrlxJ7dq1y8xGp6RkMRXo5tVBVwh0i6uD7sN0b1SfPyMjg2+//ZZ58+YBWmGuSCBq164dPXv21HS2ljyeqO23V69evPrqqzRo0EAZ30UVc7VvPH36NEuXLmXixIkEBweTmJgIZNlhbmt+9W8J4PLly/j5+fH6669rhLliI8nd3Z2FCxdStWrVYv0OJA+HKIYl/Iq4/8nJyZpkxdJGXEe1atWU2JW4VktLSzIyMuQctYxhGkMSlZaXLl3KDz/8UOCiaObm5tjb2zN06FClI6SwUTE+Xr16lT///JN79+4V9ccp8LVaWFgoa2519XYnJyclAUNSdsgrPq7+e+PGjaxevfqhOuiaCnP//vvvXIW5kFU4UHQVFQJbYfcWFhbKc5aWliQnJxMXF8cff/zBxo0befXVV+nfvz/Dhw/nnXfeYdOmTVy+fJno6Ggg56Iusrvuo0tuHXRBu8cjO+hKShIh0M2pg67aJ5alDrotW7Zk1qxZAJrOp+bm5ty6dYsffvgBkIWxJNnJqYOuKWL+N2jQIEWYm5mZKeOXEolEUgwUtIPuN998w19//aXkkEhKHjMzM+7cucOUKVOIi4tT5o9iX1LcLxG/VMdVxPpHr9eTnp6On58f7777Lm+99RY3btzQdEZ+mHiMubk5lpaWdOvWTREMi/WWv78/Bw4cUD5DXsgOuuUTo9FIVFQU/v7+ymPCFurXr4+1tXWZmO/5+/vzxRdf8Oqrr3Lp0iVlPfbTTz+xf//+B74/tw66wob79u3L559/Dsj4kkQiKXoK0kE3KCiIzZs38+GHHyprb+HDoHSFueoxH6Bdu3ZSmPuIU5AOurNmzeL27dv8+uuvGmGu2B8qLWGuKPIpCmDv3r1bds+VSCQSieT/kcpEyUORUwKSOjlILdD98ccfgeJP3lAHLsXfYiJqZWVF3bp16dChAyCFuSWBOqly9OjRuQpzP/nkE6ZMmaJU+RGLX3F/xAQfoEmTJkyePJm+ffsq5wA0iZXnzp0rlmqQlpaWWFtb07x5c+Wc6vPIzrmSh8FUoDtmzBiNIEjYmbm5OVFRUaxevRp/f/8i3ejLS6BraWlJWloaAF999RV169YtsvNK8o+ZmRmJiYm8+uqrxMXFYW1trdiA0WjEYDCQlpbGypUrATTPFwYxtsfExPDaa68RGRmp+HHxvI2NDYsXL8bLy4uUlBTS0tJISEggOTmZe/fuKVUEc/LJDyNCk5Rt1IIX0N534dOKenyuXLkyw4cPV6rqquekYpyOiopi6dKlXLp0SXmfCGzC/Y5RkL3wi+TxoSwIdCMjI9m/fz9hYWH5fo868ffMmTMsWLCAJUuWANqgvKiiXrt2bWbOnEmlSpUKfb2S8oG6KJIQ6LZu3VrTxVZsAglhj7m5OYcOHWL69Ol88sknBAYGKvNFdYc9NeLxpKQktm/fzpw5c1ixYgVxcXHKuczNzcnMzMTFxYU1a9ZQs2bNEvwmJPlB3EfRYVQkuwm7CA0N5ciRI9mS3UoTg8GAs7Mznp6egDZWFBsbqwjOJKWPKP6TmZnJuHHjlBiSWJsuXbqUrVu3Fjj2YjQaadGiBUOGDNHEjuC+TSclJbFt2zYuXrwIlG4i2N9//825c+eUfxsMBmxsbHjxxRextraWop4ySHEKdNXvnz59ukaYa1r0QvwtfLIokiSSd4S4W1ReF2M7oBHwis6/58+fZ+fOncybN49BgwYxbNgwXn/9dRYsWMDRo0ezraskjy45CXRzEkKWZYGumK+qr3f+/Pls3LixVK5RUnhyEujm5FvLkkC3VatWVKtWTSP+ENy6dasUr0xS1jEV6Ir9UHUM1dzcHDc3NyIjIwGUxEeJRCKRFD35EehaWFhgbm7OuXPnCAkJkUUwS5m0tDQ6dOiAm5sb6enpmsKBIkZpNBqxsbHB0tJSU4BazNnEGig0NJTff/+dESNG8MUXX3DixAkga+39MOugJk2aMGnSJEA7l12/fr1mbZ0X+RXobty4USPQlZRdxFxP5FGI2I14rixw7949NmzYwE8//cSdO3cUkZqw4d27d5Oenv7A30VOAt3MzExeeOEFFi1aBMj8TYlEUnwURKB7+vRppcCalZWVEkcvK8JcUdRg8eLFgCxq8KiTm0BXnZshBLr9+/fnjTfeAMqeaFzsM/Xu3ZuhQ4cWyXklEolEInnUkZFCyUMjEpAAFi5cSGpqqpJYq+568/777wP3K/uqE99LAhFINQ1gycBO8SIWCzqdLkdhrggyLlu2jB49emjem1OwUf2Yl5cXL7zwAufPn+f69etK4FkE2k+fPs3+/fuzHbeoEGIG0+DohQsXyMjIwMLCQop7JAVC7RcnTpyI0Whkw4YNxMXFafylhYUFV69eZdGiRbz33nu0atWqyGzNVKA7f/58Tp06RWpqKgDLly/nmWeeAbLEbpKSRafT0aVLF5KTk4mKilLsQgQLjUYju3fvJjMzkyVLlmTbIHmY81laWpKQkMD48eMJDQ3VCL3gvu0OGDCAS5cusXv3bgICAsjMzCQtLU1J7nVxccHd3R07OzuaNWtG9erVqVGjBtWrV8+1G4C0r0cXcf/q1KkDoAQOzczMCA8P5+jRo3Tr1q3I73OlSpUYMmQIOp2OFStWKPYr7NVoNHL+/HnWrVvHK6+8onT8k7YmUWMq0AX48ccfNeOxsBkh0AUYMGAAjo6OhbLr+Ph4tm/fzu7du/H09OSVV16hffv2yvPqTSL13NfCwkLplnv48GFOnz4NZBfm6nQ6KleuzLJlyxSBmqTkMbWRspJwIOYRZmZmdO3aFQcHB3bv3s0vv/xCenq6Yk8iWUnMPSIiIoiIiOD333+nQ4cO+Pr60qZNG2rWrImdnR0VKlQgMTGRmzdvEhsbyy+//EJERASnTp1Szq22Vb1eT40aNfj666+pXbt2qXwXkvwhOhqrxTki0e3SpUs89dRTpXl5GszNzbGxsaFKlSqax3PqmCEpXcT4NnLkSM6cOYONjQ2ZmZlK0SidTseXX34JwNChQ3Fxccn3cS0tLenYsSO///47SUlJSmcUuD9O3rhxg3nz5rF27VpcXV0LtY56GIQPvnLliqari4itVa9evcSuRVJwcouP63Q6xZZ0Op0iFJw4cSLu7u55HtNUmPvXX39pimIKGxF+WO3L1PMNMc6K16sTdtTjuvq86jmnmGvGxMSwZ88eALZv347RaMTV1ZXBgwfz8ssvP/yXJykTCIEuwC+//EJqaqqS9KW2YZH4NXHixBLf41EjBLpwX/iuXv/r9XpsbGxIT0/nk08+oWbNmnTq1KnEr1FSeIRAF+4LF9TrErVdLlu2DICpU6eW5uXStGlT2rZty65du7I9d+bMGeLi4qhYsaLcN5LkyNixYwH47LPPNPYNWWuu1atXk5qayvDhw5ViSRKJRCIpHtRz3TFjxgCwdetWQkNDlViSEEeIfQRJ6VG1alVeeukl7O3t2bFjB3fu3NHsocP99a3Ym65SpQr79+8nNjZWE9sUa2FRtHrLli1s3LiRSZMm0b59ezp06PDQ65+2bdvi5eXFjRs3lGu6ffs258+fp379+poiSbkhBLqLFy8mMDCQzMxM5fqFMGLv3r3cuXOHDz/8UBa+fARITk4mJSVFWX+LeLWdnV1pXxpwP941fvx4/vnnH2V/SF3s7dSpU9y9ezdf3RvVAt1NmzaxZs0a3nrrLaDs7JNJJJLyi6lA94033iA6OlrZH1fn3AkyMzMxMzPTiB/9/Pxo2rRpiYsf1XNPWdSgfCEEugDffvstAQEByrxQFFq1sLDg9u3bgFaYW5odc6VtSiQSiUSSN1KcKykUj4JAV1KyPKhjrhDmrlixgu7duz/UOTp06EDz5s25du2aJsFM2FRxdLEVyW2NGzcGsoQOImAfERGBwWDA2tq6yM8tKf+o/aJIbDQV6IoqrpcuXeLTTz/l3XffLTaB7vvvv8/7779PYGAgy5Ytk8LcMoCrqytjx47Fzs6Obdu2cevWLcXnCb9rbm7Ob7/9BlAoga54T2JiIiNGjFAqP6uFOXDfHv744w+2bNmi6QqRWxfJn376Cb1ej5ubGzVr1qRmzZo8+eSTuLm50axZsxyvNT8bkpKyg7BJIX4VY774++LFi3Tr1q1Y/EjFihUZMmQIer2er7/+WpOga25uTmpqKgcOHKBWrVqMGDECBweHIr8GyaNPaQh0MzMz+ffff9m+fTu3b9/m5s2bjB07lpdffpkmTZrQo0cPTdVWuO8bg4ODOXbsGL/++itBQUHKc+oKlWK+WqlSJdatW0etWrUK9f38H3vnHR5F1cXhNwlpBAgJgUAooXdCly6gooJKk5YQuoBKR1CqWABRJHQUadK7qKh8AipFamjSBClJSAiEQEhIL7v7/cFzh5nNJtmE3RS47/P4GLbMzO6euffcc8/vHEnOUdvGqVOnaNKkSb5aF6u77TVt2pQyZcpQo0YNAgICSExM1Ah41Z3QhY39/fffHD58GCcnJ0UM6erqSmJiIhERETg7O5OYmKgRC6m799na2lKvXj3mzp0rE40LAPXr16dWrVr8+++/iu2IsWfHjh106NAh3wishd2KokPqTr9FixalRIkSeXyFEjXx8fE0bNiQf/75RxHhiE6eaoGujY0NvXv3NlugC/Dqq69y/PhxNm3apFljC/Hv1atXGTFiBOvXr1eqoufWOsTGxoYrV67w3XffKWOimMu7dOlCvXr1cuU6JDnHkgJd9bp45MiR6TrmqrvUCztxcXGhVKlSJCcn4+DgQExMDPHx8ZrkSYG4FpHgIcZFta8iYp3q7rrCNtPS0khJSaFEiRL079/fot+jJO/ITKCrHoPzu0DXYDAocYjXX39dCnMLOBkJdI3H1rwW6AqfoXHjxvz444+KXyzGXjHmyvimJDMyEujq9XqNH2Fra0ufPn3kulkikVgV4eOlpqY+t926TQl0t23bxs2bN9HpdHTp0oUvv/wSkAno+QEvLy9lfWAs0IXH8cDr169jZ2dHo0aNWLt2LXPmzOHKlSvcu3dP2UcElL/F+nj58uX88ssvNG7cmFGjRuHm5pbtvaBGjRrRokULtm3bpsztiYmJrFixgldffZWiRYuadZyMBLqiMF1aWhqenp5SmFsAMBgMPHz4UFm/iv0WIF0cO6/Q6/U0aNCAIUOGsHLlSk3Bt0KFChEREcGePXvo16+fWdcqbNTDw0MKcyUSidmIwpPCN1OPl9nBHIGuOoYu9sCF+HHt2rVSmCuxCuYIdAXifpDCXIlEIpFI8jdSnFuAMXZo8srBkQJdiSA3hLnqjZA//viDuLg4ZQEu7Co4ONiCn+oxYnFftmxZTSUieBxIjI2NJSoqCi8vL4ufW5L/MZXMmNFrMiI7At0rV64we/Zspk6dSqNGjSwu0K1cuTKff/450dHRNG7c2Kzrl1ifkiVL0rt3bwCrCXTVwlw/Pz+Twlx1UYSYmBhA2zlNLc5VVycW9hMdHU1gYCCBgYFs27YNgAYNGlC8eHHatm1L2bJlqVatGmXKlEln208TcJXkHlWqVKF48eLExsYqv71Op2PDhg20a9dOKXRhaUqWLEnPnj2Ji4tj/fr1mqRzW1tboqOj2b59O40bN6Zx48ZS/C0xSW4JdMWxzp49y4IFC3jw4IEyVqelpfHdd99RqFAhGjRoQMmSJalZsyYxMTE8ePCA8PBwzpw5owS91ZW11RvkaWlplC9fnm+//TbfCOWeR9Q2MW3aNHbs2MFnn31Gr1698tW6WG235cqVo1+/ftSrV48ZM2Zw+/Zt4uLiABR7gycd9sR7RaJ8QkKCMgcASqKQQL3R6enpSZMmTRg3bpzs7JwLPK29iS565cqV499//01XtOrhw4dcuXKFKlWq5It5VtimSCZV26rxmCnJe4oWLcrw4cMpUqQIS5YsSdcNUaxt5s+fj8FgMLuDrrD7Dz74gJCQEI4cOQI8WbeIxMhz587x/vvvs2zZslwV6MbExLBz505SUlKUz2tnZ4ebmxstWrQA5Hq8IGAJgW5Wwlx1V+Vy5cpRuXJlevXqRenSpfH29laSiB88eEBSUhL37t3jwoULREVFcerUKR48eEBUVJRyPBFjEv4kPEnwMC6+Jc6dkpJCvXr1WLduHY6OjrneaVpiPZ6lDroyKejZoSAIdMX4Wb169XQFC0VRA4nEHDIS6Kr/XrduHYAU6EokEqshfKeQkBA2bdpEly5dqF27dl5fVoZYc61sSqC7dOlSXnzxRSnMzYeULVs2nUBXvT+o1+u5evUqcXFxVK5cme+++46TJ0+yc+dOfvrpJwAlPiTiUKLoyp07d/j555+5cOECTZo0wc/Pj1q1ainnzswOxHNDhw7l7NmzXLt2TYlxBQcHs2XLFgYPHmx2/MmUQFfECbp27cqcOXMAGUfK79jY2ODi4qLEU3Q6nRKnvnz5MikpKXleHEHYdOPGjVm9ejVpaWnKvSSEQqJwsLm2Zhw/kuOnRCLJCvX8aGrMyI4vlpVA1zimk5aWhr29PVu2bKFmzZoWLVyTmfhRxOyl+DF/YVw41ZRmI6e/T2YCXfV+jbBTY2GuJfcypW1KJBKJRPL0yMyJAopwaCIjI7l+/TotWrRIJ9DJTaRAV5Ibwlx4stguUaKEEmgWixARBIyNjX36D2QCvV6Pk5MTRYoUITo6WpPYGxMTw+XLl6U49zlF2EJSUhJBQUGEh4dz9+5dHB0dadq0Kc7Ozpqky4w2RIwFujY2NqxduzZDge6sWbOsJtBVi3jkBk7+ITOBrrCRnAp0MxPmCoQdGAvS1R13TIl0xfHhSbKvCNrodDrOnTsHwKFDh9Dr9ZQtW5bSpUtTo0YNWrRogZeXF3Xq1CElJQUnJycLfJMSa1KrVi2qVatGYGCgYge2trYkJCRw4MABqlWrhr29vVXGFS8vL3r16kVcXBy7du3SVBW0s7MjNDSUWbNmsWXLFhwcHKQvKjFJbgh0bW1tiYiIYPLkydy9exd7e3vS0tI0IgmdTsepU6cA2LNnj/JecV+JwLh6DIbHY7S9vT21atXiq6++omLFipb+iiRmov5dpk+fzo4dOwD44osvABSBbl75WsaxA2M7atCgAcuXL+fnn39m7969XLx4UbE3tY9g3GFPrNMEQggp7i1xDB8fH3r06MErr7yCu7t7bn3s5xYxft2+fZvg4GCaNm2Kg4NDto5ha2uLk5MTPXv25K+//lJ+W/FcfHw8ixcvpnXr1ri6uuabdURycrIiLBP2WapUKY0QUpI/cHNzw8/PDyCdQFctTMhOB13h6xUuXBhfX1/u3LnDzZs3lefFmsTOzo7Dhw8zbtw45s+fr8zN1hYenj9/ngMHDijCStE5t0aNGrRv3x4wP8lNkreYGx83JdBVJ/eMGjVKI8xVj1M6nY6mTZsybtw4KleubNL+ixYtio2NDbVq1aJt27YAxMXFodPpuHjxIpcvX+bGjRucOHGCtLQ0IiMjNfO2SPpQJ38IgVndunXZsGGDFOY+oxRUga6tra1SoEudkC7X+88GGQl0jcfWRYsWYTAYGDFiRJ5c58OHD9Otz/V6PUlJSSQkJFCsWDHpc0qyxJRA19gPlgJdiURiLYTvdOvWLXr27MmjR49ITEykb9++1KhRI68vD3iyNkpMTMTZ2TnLwtlPi7FAt0qVKrRp0waQvmZ+xByB7u3bt/niiy+IjY2lW7duvPDCC7Rt25ZTp06xY8cOUlJSANLF7G1tbQkKCiIoKIgff/yRoUOH0qRJE1q2bGmyULVAPOfu7k6DBg24du2astYGOH78OAMGDFD2zM2xZSHQnT9/PqdPnyYlJYUuXbrIdVABw83NDUdHRxISEjT5FDExMdjZ2eWbWGDbtm156aWX2Lt3r6Y4u4gxPXz4EFdXV2lzEokkRxjvz0VGRpKcnMyxY8eIiooiPDyctLQ0nJyccHR0pHbt2ri5uVGrVi3c3d0znYNNYY5AV0358uWJiIigZs2a2NvbW2SOzUr8KK5Fih/zFuOcSLUu4969e9jZ2SkFrF1cXJQcIVPHMAdzBLrwpJnKrFmz8PHxsegejeyYK5FIJBKJZbAxGHsFknyPumJl3759uX//Pt26dePFF1+kXbt2ODs7K6/N7UTI+Ph4du/enS4BCVAcUoCZM2fSo0cPzeeRFFxyS5hrfL633nqLa9euKYshsSAZMGAAkydPfurzmMJgMODv78/p06c1woi0tDQ+/fRTRTQnefZRd4NMTk5mzZo1nDlzRunCI3B1dcXFxYWxY8dSr149KlWqBJhXRRVgxYoVikAXnmziiHPXrFnT4gJdSf4nMjKSrVu3agS66g0RERDp1KkTAQEBAJkGZcwR5hof2xixUaQOEAmMA1dq91MdRBIJv8bvt7W1xcPDg/Hjx9O1a9ecfWmSpyK73UDXrFmjJOyKYKFer8fLy4s1a9YonZ2sNW4FBgbyzTffcPToUeCJ7Qp/tFevXnzyySfSB5VkijppY9GiRYpAF7SdwQ0GA5UqVcLPz49u3bqZLdDdv38/X331lbKxpO5UblwMQVyHelPGODlEPF+qVCnatGnDiBEjZOGYPMRYmLt9+3alOIWotjtp0iT69u2bJ9cnxuCIiAhu3rxpsjujugJrbGwsq1ev5uTJk5w/f145jrBb4/ld3WVPHE/M7R4eHrz44ou89957eHp6ZlsgKsk+6gTLN954A0dHR+bNm0eLFi1y9P0HBQUxevRorl27pqyH1fbt7+/PxIkTcXR0tMKnyR53796lZ8+eREZGKvao1+vp06cPn3zySV5fniQDoqKi2LRpE0uWLAFQ7Mz473Hjxpkl0BXEx8ezZs0aNm3aRFRUVLq5WthH+/btWbRokdU66Ip78u7du4waNYoLFy5oxJdeXl5888031KhRQ8ZNCyCm4uPG4ySAv78/Q4cOpUSJEpl2zFUnfrRu3ZpFixZRuHDhbF2TKTt++PAhjx494ujRo0RGRnL48GEePHhAeHi45nWOjo4kJyfj4+PD+vXrpTD3OeC///5jw4YN6QS66jg4wAcffMDQoUOBvN3jCQoK4rvvvkOv18suZs8wYWFhbN++PV0HXdD6BqNGjcoTge4vv/zChAkTNCIeg8FArVq12LZtmxwzJdni+++/VwQ2pvwIOzs7+vfvLwW6EonEYqjjRr6+vjx48EB5rkePHvTr1y/PBbpiTRMaGspHH31Enz596Ny5M2D9nKiMumNJ8ie3b99m8+bN6QS6IuZjY2NDuXLlGDx4sCLmTU5O5urVq3zzzTdcu3aNsLAwxa8T7wc0c7GrqyudOnWiT58+lCtXDicnp0xt48aNG/Tq1Yv4+HiN/zpp0iSlQEd2OH/+PNOmTaNOnTpKMVBpmwUDIRTv0aMHMTExmjwPg8HAwoULee211/L4Kp/Y0/r165k1a5ZmDxOgePHi/PTTT5omBRKJRJITAgMDuXLlChs2bCA2NpaoqKhMX1+5cmW8vLzo0qULtWvX1jQfMWcuFL7jqVOn0gl01a8BqF27NoMGDVKKcj7NXCvFjwUD9V5KSkoKly5d4sSJEwQGBnL37l2CgoJwcHBQigZ5enpSuXJlPD09efPNNxUBuanjZUVqaipHjx5VBLqAJn9S5GNUq1aNuXPnUrNmTYt8ZnNE4+JvaZsSiUQikWSOFOcWMEwJc4UDVrhwYSpUqMDAgQOpUaNGjp28p8XcBCQp0H02yG1hrpouXbpw7do1RZyg7tAsqvxbmrS0NN59913+/vtvjRhCp9PxxhtvMG/ePJmg9hwgxqzo6Gj27t3LL7/8wsmTJ5VFsIODg2ZhLDZpmjdvTteuXc0K2kiBriQrLCXQzUqYK8Y4gaOjI05OTnh6emJnZ0dycjIPHjxAp9MRFxenObZ6w1Pd7VyNuGa1qEe8RnSr0uv1yhgrsT7qRIaHDx/i5uaW7WPcuHGDnj17kpCQoOlcm5aWRqNGjVi1ahXOzs4W9wHV175nzx4WLlxIcHBwuo3NypUrM336dFq0aJFvuvpJ8ifWFugeOHCAbdu28ddff6XrRmo8PhqPk+riNOLf9evXp3PnznTs2FF2Is1DMhPmqgsWtGnThqVLl1qtm3hGqJPZ+vbti8FgYObMmUp3vcxsNywsjDNnzvDzzz9z/fp17t69q3leFOsQ635hm4ULF8be3h5fX1+aNm1Kq1atrPshJQqm4kjwuAvZtGnTaNmyZY4EuosXL2bp0qUA6ebZatWqMXbsWF566aU8n2Nv3bpFnz59iI6OVjYQdTodo0eP5v3335d+QD7GlEDXVAFAcwW64rd++PAhs2bN4n//+5+m+7NAjNEvvPACS5cupWjRopb/cDyOn7777rsEBgZqhLlFihRh0KBBDBgwgCJFiljl3BLrY24BS19fX8aPH0/RokUZNWoU+/bty1CY27ZtW5YvX57uueyg7uZo/P7Y2FhsbGw4ffo0165d4/z58/zzzz88ePCAChUqsGvXLinMfY64cuUKmzZtUgS6avKjQDcyMpKSJUvm+XVIHmOOf5WT3yk/CnR1Oh16vZ4pU6awe/fudGv6li1bsnr16ly5FsmzhbFAVwghhK3b2dnRr18/+vTpQ8WKFfP2YiUSyTNBSEgIfn5+PHjwAHt7ewwGgzK35rVAVx3L9PX15f79+1SrVo2RI0cqAjYZ35GoMUegW758eYYMGaIpvh8dHc2tW7dYvXo1R48e5dGjRwCZ7ptXr16dOnXqMGrUKMqUKZOu8CU88X0XLFjAypUr0el0ynGaNm3Kl19+maNCq6GhoZQvX15zDknBwGAwMHjwYI4dO5auwM/IkSMZMWJEvhnXgoKC6NatG8nJycpjdnZ22Nvbs3HjRmrXrp2HVyeRSAoa6sLQUVFRLF++nL1792ryL8TesjrvTew/p6amKvvtzs7O2NnZMWzYMBo2bEjTpk2zfR0ZCXTV832dOnUYOHDgUwl0pTA3/2M8765fv57Tp0/zv//9T3lM2F6hQoUUe1Tn8Njb2+Pk5ETXrl1p3Lgxr732Wrbn8owEusbFYipXrsyCBQuoXr36U31uaZsSiUQikVgWKc4tQJiqWGlvb49er9d0qXN2dsbZ2Rk/Pz+aNGlC8+bNc/1azU1A+vzzz+nZs6fm80kKDnklzDUYDFy5cgVfX1+SkpI0AW6A+fPn07FjR4udT31eGxsb5s+fz/Lly9OJIZo2bcr69estfl5J/kLdZeyrr77i5MmTShcmdaUoeCJGUBcpKFOmDIMHD1YE5OYKdL/77jvWrVsnBboSDU8r0M1KmKues2vXrk2tWrXo3bs3JUqUwMvLCxsbG1JSUoiNjcVgMHD16lWCg4MJDg7m1KlTJCYmEhwcrAlGqYNV6vvFONClvn4Z4Mk91L/D999/z/nz5xk2bFi2Ku6JYyxbtoylS5dqRNkimN6vXz/GjRuHg4ODxTcX1cf77rvvCAgIMDlG+/r6MmPGDIudV/LsYg2Brnosu3btGgcOHCAgIEAzVqrFE2rU95MYo4sUKUKHDh0YO3Ys7u7u2NvbW+fLkGRJVh1z4YmPWLlyZbZt25ar4itjYe69e/dwcHDA29ubDz74gHbt2qX7HJB+/k1ISCApKYk9e/YQHh7OlStXCAoKolChQqSmppKcnEzx4sWpXLkyxYoVo0uXLnh5eSnJQqbOIbE8amGuv78/kZGRmgTLnAh0xTFv377NBx98wLlz55TfUT1mvfTSS3zyySeUKlUqT/23BQsW8O2332q6jpcqVYqNGzdq7FGSP8mog67xuGquQFfY4r1795g8eTJHjhwxOQ6JxItatWrx6aefUrVq1Wx3Ks2MiIgIJkyYoAhzxfyv1+tp0qQJn376qabau6RgklEBS9CKyPr3709QUBCHDx82S5hrLXGsqbE6Li6O0NBQqlatqhTPksLcZx/ho92/f5/x48crBQnVz+dHga64Nulf5g3q7z4hIYHr168TFhbG9evXsbW1xd3dnaJFi1KvXj1Kly6Nk5OTyfdmhSmBrqk4Zm4IdIW9x8bG0rNnT00MVNwj4jry+t54XjH+3gvaGGFOB10p0JVIJE+LwWAgNTWVIUOGEBgYqPj9oJ1b80qgq45l+vn5ERkZqewvent7M27cOF599dVcvSZJwcBcge7QoUOVnDU1f/zxBydOnGDdunXKY5mJdD08POjRowetWrXSiIPU/sjRo0cZNWqUpnuunZ0dCxYsoEOHDmb7KsavK2g+juQxEydOZPfu3UrcWthm4cKF2bJly1OLbSyBTqcjJiaGrl27cu/evXR2980339C+ffs8vEKJRFKQEHNiTEwMv/32G7t37+bMmTMZFiVXoy5mrn69WCeXL1+el19+mVGjRuHk5KQZWzMiK4Gues/zaQS6UvyY/xHfdUJCAufOnWPz5s3s27dPE+fLyjaFrylsxtnZmXr16jF69GgqVqyIh4cHYJ7fllkHXXVc6GkFutI2JRKJRCKxPFKcW0AQTllISAi+vr5ERUUpgXG1w6YWsgC4ublRv359/Pz8qFq1qqbanrW76UqB7rNNXgpzbWxs2LdvH2PHjlVENuIeqFGjBmvXrsXV1dVi5zRm+/btTJ8+XbPwt7Ozo2zZsmzfvp1ixYpZ7dySvEXYfVhYGKNHj+bff/9NF/wB7UJa/bwYm4sUKcK7777LO++8A0iBruTpyKlAF8hQmGucaPn2228zaNAgvL29FUEHPLE9IXxUk5qaSmpqKqdPn+bBgwccP36c4OBgQkNDefDggfI6EUBSd4tSX4cM8OQe6rFr/fr1zJo1C4BevXrRt2/fbCddBAYGMn36dIKDg5VApLAdb29v3nvvPd566y2rjFdqW5k6dSo7d+5UxmJhtwArV66kdevWFj+/xLKobdPaa5iMsIZA1/jxM2fOsG3bNs6ePUtISIjmtcZrP4PBgKOjI4UKFcLf359GjRopXU8leUd2hLlArotzTSWzOTg4kJKSgq2tLdWrV2fMmDFmJVOYmpPj4+MBSElJAcDBwQEXFxfLfxBJtrh37x4vv/wyqampODo6Kr+PsMucdtBNTU1lyZIlLF++PMPENHUhjNwcv9X34ujRo9m7dy+2trZKUYM6derw3XffUaJEiVy5HsnTYekOumL8unv3LuPGjePs2bMmu+cKeylfvjy9evXilVdeoVKlSsprspP4KF4bGxvLxYsXmT9/PufPn1c2tsW5PDw8CAgI4IUXXjD365FYCHPWmjlZj2YUHzdec8OTQkZ5IcxVI+zVeNzOKz9ckruo4z2//fYb48ePV/4tnjcWH0L+EuhK8pbvvvuOM2fOcPjwYU0cSFCmTBlKlixJv379qFmzJtWqVcv2OTLqoGu89ho9ejTvv/++RT5XZnz55ZesWbPGpOBj3bp12ercIrEcYiyKiIjg5s2bNG7cOFvrnfyCKYGu+m8p0JVIJJbi3LlzfPrpp/z777/AE/8vLwW6pmKZ9vb2Sud6e3t7SpcuzejRoxWhhESiJicC3ZSUFI3PcOzYMX7++WeOHDmiiBPVAgx4cp/Y29tTqFAhBg8eTNu2balXr1669fWcOXP4/vvvgSfzebVq1Vi5ciWenp65+wVJ8gSxrt6/fz8TJkwgLS1Ns56xtbVl2LBhDBs2DHt7+zwVXotr9fX1VWKoagHdhg0baNKkSZ5dn0QiKTioC6cuWbKEQ4cOcffuXU2RfWNM5V4aP2Ys6G3VqhVvv/02bdq0oWjRolnGKa0t0JXix/yP+K6joqLYsGED+/bt49q1a4ptihygjES5xqhzIHU6HSVLlqRZs2b4+/vToEEDs6/L2h10pW1KJBKJRGIdpDi3APHo0SN69+5NUFCQJqESTHeb0+l0yuKlePHiFC9enGHDhlGrVi1q1aqV4XstiRToPpvklTBXcPfuXYYNG8Z///2nLDqEPbVv354lS5ZYJVlM3Ct//vkn77//fjqhkY2NDdu2baNevXoWP7ck71FvAA4YMIDw8HBNpTWRTGsc+FGPe+qgjb29PaNGjWLYsGGAFOhKno6MBLoiGGlKoAuY1TF3wIABTJ48WXlPZn6DuqqrEEEKxGMhISFcu3aN69ev8/fff/Pw4UNu3rypCbiK+6hLly58+eWXyvulf5A7rFu3jtmzZ2sey2nSxZIlSxQhhdoWAZo2bcqYMWOstmknxu3IyEjGjx9PYGBgug6+w4cPZ9SoUdK+8jHqTjRFixY1+RpTmzHWvBZzBLoVK1bEz8+P7t27ZyrQNf4MCQkJJCcn8/PPPxMaGsqJEyd48OABtra2JCUlYWdnR+3atSlRogRvvPEGFSpU0HTWk7acd2QmzBUiHGMbKFGiBJs3b6ZcuXJWT7DIKJlNJH0IX9LT05MNGzaY3VFUfV8Y25763gSs/hklpgkKCmL69OmcOnUKMF1ZN7sCXfHbmuNLvvfee4wZMwbI/TFKLSpS+5ozZ86kR48euXYdkqcnow66xn9nV6B7584dPvzwQ86cOaPcF2pxpBgbixQpgpeXF6NGjaJ58+Yan0Q9DsITWxNrMcH169fZuXMnf/75JyEhIemEuXZ2dnzzzTe8+OKLlvzqJGaSkJBAdHQ0ly5dIjQ0lLS0NIoUKULRokWpXbs2Xl5eODs7K6/Pjt+ZWQdd9dpdneAIeSPMlTzfqO36xx9/ZNKkSQDphORgWqwhBbrPL/Hx8Zw4cYItW7Zw6NChdHFxMaeqY+cuLi54enoqhduyS0YCXdDarLUFuidPnmTOnDlcvnxZsy4yGAy0bduWr776ShZzzQPE7xASEkLXrl0pW7YsH374IS1atMDe3j6vLw/IXldf2UFXIpFYGzEGXbp0iUmTJnHt2jXAtM/39ttv079/f6sLdDOLZcLj8VDkpKhzjSQSY4wFusZdSk0JdI2LU8XGxnL37l0CAgK4evUq4eHhgHZfSNwvIj5UrVo1fHx8GD9+PEWKFMHR0RGACxcuMGXKFEX0AVCsWDFmzJhBp06d5FrqOeLKlSv07t2b5ORkjRDMYDBQpUoVvv/+e0qWLJkviqX169ePwMBA5d8iPrVt2zZq166dV5clkUgKCGJuCw8PZ/LkyZw7d47k5OR0jVDgid9pSviYWfdSdeHgsmXL0qpVK0aNGmXWOJqVQFd97OwIdDMTP4q9ISl+zFvUhd1mzZrFiRMniImJ0ewVCn9NnU9hZ2enaQohbDIzDYezszMff/wxHTt2VPbis9pnslYHXWmbEolEIpFYDynOLWAMHz6cgwcPmkzcEagXLsaiGAAvLy/at29Ply5dqFy5sqZLjzUcqIwSkIyrWEuBbsEgr4W5ycnJbN26laVLl/Lo0SPlcYPBgIeHBytXrqRmzZpWFWdERETQrVs3YmJilEVWoUKFKFSoEEuWLJEd+J5B1BuA/v7+REREKEEf9TgG4O7uTpEiRRQRokBdvQqeVHAbNWoU7777ruY8plCPiytWrGDt2rWZCnSnTJlC48aN8zxQL8k9zO2g+/rrr7NgwQJSUlLo1q1bpmKKwYMH8+GHHwJPX8wjo7k9KSmJEydOcP/+ff766y/u3bvH5cuXef311/n6668zfa/E8hgne8GTTsvZEeiK30yn0zF27Fj27dsHPBHFCnt79dVXmThxotkisJyQlpbG5s2bCQgIICUlRVMV29PTkx9++EF2zsunqJMpR44cSfHixalevTqNGzfG3d0dHx8fbG1tcXJy0rzPmsIFawp0xXvVr0lJSSEtLQ29Xq90N81KcCTJfbIS5orXgLaKaqFChdi+fbumeJY1yCqZTT33T5w4kSFDhlj1eiS5z40bN5g7dy4HDhwALCPQFXZ17tw5Ro4cyf379zUFrNSiiPHjx5tVlMiS3Lp1i5kzZ3Lo0CFlg1Gv11OrVi1mz55NzZo1rX4NEsuSUQddY3szV6ArbDgiIoKZM2dy9OhR4uPj0226q4tsAbRu3Zr69evTvXt3ihUrlmHxEMGhQ4f477//WLVqFbGxsYqAAlDs0tbWlkWLFilxNGsXHJFo2b17N/v37+fEiRNER0ene97Dw4OSJUvSp08f6tSpQ926dbN9jswEusaFLMQ6SgpzJaJjU26MCVkJc9W2CWhiTlKg+3zz4MEDVq1axYEDB7h586am44mpjhLi/+q5dejQofTu3Zty5cpl69ymBLqmfIPRo0fz7rvvWswexf0SFxfHnDlz2LFjB5A+JiDXVnmDOpbUt29fJWbTqFEjhg8fTsuWLfNcoCv80KioKO7du6esTbIj0DWO5UuBrkQieVryk0A3s1im8Tyv9j8lkozIiUDX1HomNTWV06dPs3fvXrZu3Qo8tlf13CzWTWKtX6lSJV555RU6duxI7dq1SUlJYcaMGezatUvjv7Zo0YI1a9YAMi70PPHVV1+xevVqkyKwDh06sHjxYiDvbELEowYMGMCJEyc0uaoAmzdvpmHDhrl+XRKJpOAg5tPQ0FDef//9dD6mumClWpTr5uZGsWLFsLW1JS4ujujoaHQ6nTJvGzdLEccS8SYHBwfq1avHV199RdmyZXO9g64UP+Z/xHd9+/Ztxo0bx/nz5wGt9gK04uysUNukeu5WH2P48OF07txZKcCfU4FuTjvoStuUSCQSicS6SHFuAUE4N2fPnmX06NFERkYqTmDhwoV54YUXiIqK4u7du4ogR2CcJCHe5+XlRdmyZXn//fcpV66cRhRhaWdKCnSfDTIT5qoDcMuXL6dt27YWPbdYiFy+fJkpU6Zw5coVzWaQTqejU6dOTJ8+3eqChYcPH/LGG28QFRWlLMjE9zJq1ChGjBhh1fNLchd1BbchQ4YQFBSUTpjr7OyMj48Pb775Ji1btsTLy4v4+HguXLjADz/8wJEjR4iKikoXGDIl0LVUB90aNWowdepUKdB9zjC3g26HDh0IDg7m2rVrGSauqYW51qjIauqYYrPy0qVLShdy6Q/kDgaDgaioKN5++23u3r2boWA7OwJdMXeru4iANuEcoFu3bkyaNAlXV1crfbrHYo5+/fpx48YNJVBpZ2eHk5MTixcvpkWLFnKzO58h7v1bt27Rp08foqKiNM/b2tpSpUoVChcuTPPmzSlfvjy1atWiWrVq2NraphMvWLK7rrUFuurrNR4r1V14QHYizQ9kJsxNS0tLV5RAPQYBrFy5kubNm1vt+rKTzKZOHpfz77PH9evX+frrry0q0IXH8Z5169axatUq4uLiMqwmPWnSJAYOHAhYx7dUk5aWxrZt2wgICCAuLk4jGh46dCgffPCB1c4tsS7W6qB7//59li9fzsGDB7l165ZGWCQwFVd1cnKiadOmeHp64u7ujpOTE/Hx8cTFxXH+/HkePnzI+fPnNcUQ1HM8QMmSJZk1a5bSMVf6pLmDwWDg1KlT7N69m23btimPq+M98CRRQcR+HB0dGTt2LG+++aZS8NLc3ywzga4xzZs35/vvvwceJ1/ktYhIkvuEhIQwfvx4pfieNccGczrm2tvbk5qaSqFChbCzsyM5OdmkLwFSoPs8cffuXT799FMCAwOJi4sz2VXCGLW9qe2me/fuDBgwINsiH3M76I4YMYKhQ4emK+6VXdQ2vWzZMhYtWqR8FhEHMBgMtGrVilWrVqX7zBLrohbm+vn58eDBAxwdHUlOTgbyh0BXvUbv0aMH9evXZ/To0WYV/zAl0FWv66VAVyKRPC35QaCbnSKDEyZM4J133gGk3ynJGmOBrogXmivQNbaxv/76i+PHj7Njxw7i4+OBJ/uf6v0bId61t7fn/fffp0OHDhQvXpw+ffoQHBysOf706dPp27dvbn4tkjzmp59+4qOPPjLZhdnJyYnRo0crMfW8QK/XExcXR+fOnbl7965GZOTp6cnmzZvx9PTMs+uTSCT5G7Uwd8CAAYSHh2tEhcaix3r16tGxY0caNWpEmTJlKFmyJGlpaTx69IiEhARCQkLYv38/Fy9e5NKlS8r7TIloxT5OyZIl+f7776lSpUqW8RlLddCV4sf8j9o2hwwZwq1bt0z+1sKOSpQogYeHBy1btsTFxUWxzf/++4/o6GjOnTtHVFSU0tQqsz1GgDfeeIPu3bvTqlUrzfVkhKU66ErblEgkEonE+khxbgEjMjKSd999l0uXLmk2ll9//XV69+7No0eP2LJlC8eOHVPeYywGM3YenZ2dKV++PF27dqV9+/Z4e3tbxZkylYBkSvQhBbr5m9TUVAYMGMCZM2cU51y9qO3evTuzZ88GLJdwK44TFxfHyJEjOX78uGIXtra2iu18++23tGvXLtNjqDuf5ARhk4MGDeLEiRPKsdLS0qhbty4bN27E0dExR8eW5D9E4OXBgwdMnDiRo0ePphPmFi9enLFjx9KsWTMqVaqkvFfdhefgwYN888033LlzxyyBruygK3kazO2gC6ar7IP1hbkZYTzvSz8g9zl//jwff/wxV65cAUwnXWRHoAuPu/18//33rFmzhocPHyrHVR+zb9++fPTRR2YLgbKDsKNffvmFSZMmabq3SJFO/sRUMqWDgwOpqakagZVxJ1JnZ2c8PDzw8vKiZcuWlCpVimbNmuHk5IS7u7vJc+RU5JobAl1J/sccYa5Yr1SrVo2kpCRCQ0MBFPsRglhr2EV2hLkyme35wJRA17iybk4Eujdv3mTx4sXs37+f1NRUkxvhhQoVYty4cVYVgItjnjlzhtGjR3P//n1N0nqTJk1YsWIFzs7OciwuwGQk0DX2L8eOHUufPn3MFujGxcVx6NAhtmzZwsmTJxX/Qr2Brq6YbZzkkRnqjXgRly1cuDDVq1dn/PjxvPDCC4AU7+QWer2eNWvWsHfvXv755x8gfUVzgbqCv3gvQM+ePRVBjXhPTgW6xlXXDQYD/v7+jB07FicnJ9kx9zlE3e3R29ubuXPn4uPjY5UxIjNhrpg/hTDXycmJWbNmcf78ebZt20ZiYqJmfZZRBzPpWz6bhIaGMmrUKE38SPwn1iHq8U0tHlTHZdR207t3b0aOHEnJkiWzdS3mCnSHDRvGwIEDlfhAdu8p9evXr1/PrFmzlHOo5xBvb28mTJhAhw4d5Nyei6iLvPn6+vLgwQNl/atOoM1Lga56jd6vXz/u3r0LQKdOnRg0aJBSrFJ20JVIJHlJdgW6/fr1UzqAPy0ylimxNpbooGssvrl+/TrLli3jv//+Izg4WNMB0DjuClCpUiVefPFFEhIS2LVrl8aPfOONN5gzZ44s0PWc8e6773LgwAGN/yfWS40bN2bMmDFK7DAvePjwIW+99RZRUVGaWKiPjw8bN26U9iqRSEyizvcQcc6M8tMaNWpE+/bteeedd5Sx0FQBTcH9+/c5c+YMy5YtIzw8nEePHmkEhoDGdyxRogTLli1TYvmZ8bQCXbEfKsWP+Rd1/Kh///6ZNq/w8vKiYcOGjBo1iuLFi2e43xgaGkp4eDgbNmzgxo0b3Lx5U7O3JOZP9bFbtmyJn58fr7zyiua6MuJpBbqZCXNFYXlpmxKJRCKRPD1SnFsA2b9/P6NGjVICesIxHD58OOPGjQNg7dq1nD59mr179yrvUwf/1I+pK/TXqFGDatWq8d577+Hm5qZJYrfEJrLsoFvwmTx5Mrt27cLe3l5J0FF3IqtSpQo9e/akf//+msTDnKJeYIugpLp6pOCLL76gW7du6PV67t27R2xsLA4ODhQuXBi9Xo+zszPFihUzeT05ucZp06axY8cOxYbr1avHhg0bcHR0TBcUkBRs4uPjWbp0KVu2bCEhIUEzXpUoUYKAgABeeOEFZXw0NVbGxcVx/PhxvvzyS0JDQ9N17rOmQFd20H0+yUygC082dIQt5mbHXEn+xRpV0cUxY2NjmTlzJrt371YeNz5mv379mDJlitWSFs+fP4+fn5/ie4rA+dtvv60kVEryD0FBQQwYMIB79+5pEnAE6rlU/Jamuo95eHjg4OBAw4YN8fb2pmrVqvj4+ODi4oKbm5vmtWrBrjl2KAW6zzfZEeY2aNCA5cuXM378eI4cOaLpKKWedy2JTGaTZIS1BLqnT59m1qxZ/Pvvv+m6lQt7h8ddy0aNGmXxzyXOdePGDYYMGaLZTBVdTkePHs1bb72ldLSWFFzMFeia20FX3c02OjqaRYsW8fvvvxMTE6OMmepkSWM/RN0RXafTKf6EccKGiON6eXnRpUsXOnXqRLVq1TTHlVgXnU7H559/zu+//64UDlLH17P6DdT21a5dO/r27UubNm2ydQ2ZCXTV46Wfnx/Dhw+XHUieM9SiMgcHB1JSUihbtizz58+3uEA3Ox1znZycWL9+PfXq1ePKlSts2rSJ3bt3awS6oL1HpED32SU0NJTBgwcTGhqq/P7G3U7EmtvOzo7U1FTi4+OJiYlRns/IbkaOHMnIkSOB7M2NpgS6xl1F4bEA2M/PT4ln5cQ2N2zYwMyZM4H0wlwnJydFZFy0aNFsHVeSc4StBAUF0a9fP+7fv6/psmi8n54XAl1Ta3QnJyeSkpIAePPNN+nfvz8+Pj5ZHstYoGssRhcCXV9fX7y9va33oSQSyTNLXnTQlbFMCWTP/8vpHvbTdtBVoy74FhYWxtq1a/nzzz8Vv1ftK5pqopGYmKg8J3zjRYsW8eqrr2b7c0kKHsJ+Dh8+zIwZMwgPD08n5AF46623mDBhQq7Hh8T9KAoTiXinmAMGDRrERx99JMdhiUSSDlOF2DMSP3bv3p1evXrh4+Oj7KtnlHNrnMsRHBxMYGAgq1evJigoyGQBTuFDuru7s3jxYho3bvzUHXTVY7SxQFe8Xwpz8yfZEY2/9NJLvPXWW7z++uuaIr3qXF/xb2EziYmJhISEsGbNGn799VflWGoRrTqG2qBBA/z8/OjcubNyzMxsM6cCXdkxVyKRSCSS3EOKcwsgd+7c4cMPP+TUqVNKQqFw5ObMmUPXrl0BiI2N5fjx46xevZqQkBCioqIUZ0ztlMETx1I4i6VKlcLb2xt/f38aNmxIqVKlLHb9soNuwSY4OJgJEyZw8eLFDBeeFStWpE+fPgwYMEB5PCe/n3rBPXLkSPbv36/YvDpprWrVqnTv3p3AwEBu3rzJ/fv3iYuLw9bWFicnJ9LS0nB1dcXb25uiRYvSrFkzPD09qV69OuXLl8fe3l6zsBGfw9Q1i/tn+fLlzJ8/H0DTMVcKc58dhN2eOHGCzz77jBs3bqQT5q5YsYLatWubfczly5ezYMEC5d+5JdCtU6cOEyZMoGnTptI+8wnZGRdzOoaaK9BVb/iJTRSQwtznFWskXQgbfvjwIaNHj1YCfab8P7UNWoM+ffpw7tw5zdjr4+PD2rVrcXZ2ttp5JdkjLi6Ozp07Ex4ejrOzM0lJSSY7mAmMA+HqQi7GCcI2NjYUK1YMFxcXmjVrRqlSpWjdujWenp6ULFkyQzvIKvlCCnSfL7IjzK1fvz7r16/HwcGB0aNHs3//fuCJn9akSRPWrFmDjY2Nxfw0mcwmyQprCXQPHjzIp59+qkkkEqjHY19fX4YNG4anp6dFinoJLl++zMiRIwkPD08nduvcuTOTJk3KUqQpKThYuoOuMfv37+f48eNs2rRJc3+o/YuMuuaqu6SIDW2AYsWKUaNGDSZMmECVKlUoUqTIU3wDkuySlpbG6NGj+fPPP5XHxJpXCKzVhV7UcXR11X21uOell17ivffeUzrdmYu5BSz9/f0ZOnSoFOg+J4SEhNC7d2+io6MV303E1i0t0M2qY674Wwhz161bh4+PjzIG/vfff2zYsEEj0FW/Twp0n11CQkLw9/cnMjJSsRcxbjk5OeHp6UnPnj1p2bIltWrVIjU1Fb1eT3BwML///ju//vort2/f1hTYMh77lixZonSNyA7mdtDt0KEDXbp0Uc5hbgw+NjaWjRs3KvF9U2KLRo0aERAQQOnSpbN9/ZKnIy4ujoEDB3Lx4kXN+td4/yUvBLqZrdHVtt+2bVtmzZqFh4dHlsfMSqBrb2+Pv78/PXr0oEqVKtb7cBKJ5JklNwW6mY2TxueSscxnC+PfMCEhAZ1OR3BwMBEREQDExMSQlpaGl5cXhQsXxs3NjcqVK2d5rMywpEDXeH128OBBTp8+zerVqzU2rO7kp36viI2KObx58+Z8+eWXMg7wHBEdHc20adPYv3+/yTUGPN4/Hz16dJ7sZav3wOCJDa9YsSLbBeskEsmzjylhrij+Zxz/eeeddxgyZIhSUN3cmKf6dXq9ntu3bzNhwgT++ecf5TXqAqpqge6KFSuoU6dOlvlw2RXo9uvXT8nZ79evn+xKmg/JyDZNrTn8/f3p378/FSpU0Lw3M4ztd+vWrfz444+cPXsWeBJHNI5P1atXj8GDB9OxY0eTxzEmpwJdKcyVSCQSiSR3kOLcAsqyZctYtGgRgKZLQ6tWrfj4448VxxDg7t27hISE8O233/Lvv/8SHR0NaJPWxXHEf+oE9iZNmtCwYUMGDRqEk5OT0ok0O12ljJEddAsm6o2RMWPGcPnyZasJdNUi11GjRrFv3z5NFxKBqURIYU+FChXCxsZGWeAbv87DwwMPDw+qVKlC8+bNKVWqFC1atMDGxibdZrxaeGFra0tgYCD9+vWjQYMGrF27Vgpzn2FGjx7N3r17NeNT8eLFWbJkCU2aNDF7HIyIiGDChAkEBgZqqmZZSqD73XffsW7dunSCIHt7e5KTk6lcuTIbN25M1yVQkjsYj4FJSUmkpaVx+fJloqKi0Ol0PHr0CDs7OypUqICDgwMVK1Z86g72mQl0jW1v+PDhjBs3DpDC3OcdayRdCJu6f/8+fn5+3Lp1K8MuJv3792fixIlWSYwbMGAAJ06c0PgFtWvXZvPmzTg6Olr8fJKckZCQwLZt21i6dCmxsbEmO+IK1OOiqeqU5nTXLVSoELa2ttSoUYOqVatSsWJFXnjhBQoXLpzOttWd9dS+qUjekALdZ5/MhLnqiqeiY+66desUYePUqVPZuXOnZv4tUaIEe/bsoVixYha5PpnMJjEXSwp01ffF/v37mT59utKRUj3Gqe2vTZs2iijCyckp2zaoPmdUVBSBgYHMmjWLe/fupROK1KlTh0WLFlG2bFnzvyBJgSAqKooNGzawbNkyQOsD5FSga2yLZ8+e5bfffuP48eOKXyywt7fXJMwBishCXYjGwcGBN998kzZt2vDyyy/LtVYekJaWxrBhwzh69Gi6Th/CblxcXHBycsLV1ZWUlBTi4+OVsQxI97uKv3v16sUHH3yAq6trtny7jOLjoBXZSIHu80F8fDwjRozg+PHjSrKWcczdUgLd7HbMVQtz4cl4Z0qgK5J6pED32cRUxxMxlrq6uuLv789LL71EnTp1lPekpqZq4jsnTpzgxx9/ZPfu3enmTGE3TZs2Ze7cuTkSuN6+fZudO3eyevVqkpKSMow9VatWjZdffpkxY8ZoEjqN97sEBw8eZM+ePfz444/KtRoXnatUqRLffvut7FSaRzx69IiPPvqIv/76S7PnDNp4kVrkkBsC3ewUzxo/fjzDhg0z+9gZCXRF53WAuXPnajr4SCQSSXbIDYGujGU+nxj/fkeOHCEkJISffvqJ6Oho7t+/T3x8vOY9wv9yc3OjQoUK1KhRg5deeomKFStq/C9z10qWFOhC+r31c+fOsWPHDo4fP05YWJimkJu6AJjxflaJEiVYuHAhTZo0Mf8LlRR4goOD6dWrF48ePcowf/K9995j1KhRuTr2HTp0iOHDhyviHWGnrVu35uuvv7bYvpZEInk2yEz8aLz+HTt2rJIXaQlSUlKYMWMG+/btIy4uDtA2qhDnLlGiBJs2bcLb29uiAl0fHx/69u3LDz/8wIkTJ6QwN5+RHdH4yJEjGTZsmLIvnt04vPp3PXnyJL/++itbt24FtEWG1fGpJk2aMHjwYF566SWzzmGuQLdSpUqsWrUKLy8vKRqXSCQSiSSXkOLcAoZw9uLi4hgyZAj//POPIqjV6/U4Ozszd+5cXnnllXRCQYPBwF9//cXff//Ntm3bgCcCSOGYiSAjpO+mW61aNapUqcKQIUOoWLEiRYsWfarPkhOBriTvEc63NQW6pjrmqsUPxoJGgXpRbdxdzVicYZz4IahYsSLFixfnpZdewsvLi4YNG+Lh4ZFOsHPgwAHmz5/Ptm3bpDD3GWb79u1Mnz5dsyh2dnZmwoQJ+Pr6mmXPwu5/++03Zs2axYMHDzJdtFtSoKtOwggICKBTp07Z+vwSy6Aer4KCgrh8+TI7duwgPDyc27dvpxOJiQTvSpUqUbp0aV566SUaNWpErVq1lNdkJxCSlUBX0LVrVyWZR45pEmsKdMPCwujfv3+6rnbGlQjHjh1rsW5i4tyi4II6yOjj48P333+Ps7OzFEnmI0ytFURCrRrh/wlfT722EQntajG2+Fs9htrZ2ZGamqo5rrCHunXrUrx4cZo3b07lypXx9vamTJky6XxRdSGXhQsXsnPnTinQfQbJqTA3OTkZR0dHpciWsNNChQphZ2fHhg0bqFu37lPbguyYK8kupgS6xht3ORHo7t27VxHKqqvuinMIOyxdujS1a9dm0qRJeHh4ULhwYeV4an9UjPM2Njbp/NSTJ0/y+++/88svvxATE5NOKOLl5cXq1aupWLGiJb86ST5B2F1GHRyMkz2y20FXHD81NRWdTse+ffu4ceMGf/31F3fv3iUtLS1dsiiAi4sLlSpVwsPDgx49elC6dGnq1q2rPC+LIeUuqampDBgwgDNnzihJsOqxyMvLi/bt29O1a1e8vb1xdHTExsaGO3fu8Pvvv/Pnn39y8eJFTRwdtOPZZ599Rq9evbJ9bVKgK1GzZcsWduzYwcWLFwFMxtyfVqCbVcdcg8GQoTDXlL+YkUAXtPeIFOgWfEwlVorf2N3dnS+++IImTZrg4uICpP+d1XPfjRs32Lp1K5s2bSItLS1drNLV1ZXVq1dTp06dHNl5REQEP//8M0uXLk0n0DXeE2rYsCH9+vWjbt26mqLHAPfu3ePBgwesXLmSf/75h7CwMMC0MNfNzY0NGzbIDqV5zPnz5/H39yclJUUTLzImtwS62RGcffjhhwwePBjIXuKnsUBXxDsNBgMdO3Zk/vz5Fv1MEonk+cOaAl0pzH2+efDgAX/++Sd//PEHhw4dUtYRgGbtri4SZJzjY2NjQ9WqVXnxxRfp2rUr5cqVw9nZ2WwbsbRAV6DO64uKimLhwoWcP3+e0NBQ5bOI14n/i3hnWlqapqC25Pnhr7/+Yvz48cra2jhOD48FukOHDtXE0a1FREQE8+bN49dffwWe7HEaDAbGjBnDe++9Z/VrkEgkBYfsiB8nTpzIkCFDLHZu4VOmpqYSEBDA7t27NXkaYuwS11O5cmVWr15N6dKls5zXsyPQdXFxIT4+Xoof8xnZEY1nt2haRqjjOnfv3uWnn35S4jPq86n92nbt2vHee+9Rv359s86RnQ66hQsX5uLFi7JjrkQikUgkuYAU5xZQUlJSmDNnDps2bUqXeOjt7c2mTZsoUaKE8nrjpK/Dhw9z8uRJtm3bRkxMDKDtwGtcRVj9mLOzM61ataJly5b06NEDW1tbxXHLrmOWmUDX3t5eEZWtW7eOF1544am+M4nlsKZAN7OOuWrhrVpwK1Cf11QXNePHBcab9OrAf8mSJSlRogR169alQYMGlCtXThFlqO87KWJ7thA29vHHH7Njxw7gyYZPkyZNmDlzplnJ3cLe4+Li8Pf358qVKxqhubOzs0ZwpD6/ra0to0aNUoLa2RXoRkdHK4v5JUuW8Morr0jxTy4jvm+9Xk9aWhpLly7l0KFD/Pvvv8pr1JuLIkCi7sgohDvwuBtPgwYN6Ny5c7pzZEVmAl312KdO2JFjm8SaAt3r168zdOhQ7ty5k2GCe48ePRgxYgRlypTRXE9OEEmY/v7+nDt3Thkz9Xo97dq149tvv83RcSXWJbO1AjyxCVFI6MaNGxpfUJ3QoC5GZIw4nvAJ1esfY/Gvm5sb1apVw8vLixdffJHixYtTp04dnJ2dFdGaXq9n2bJlbNy4UdM5Ui0YlgLdgkdmwlyRUG5KmKueT48cOaIRJQgmTZrEwIEDLXKdoaGh9O3bl3v37slkNolZWKuD7sGDBwkICODGjRtK4pw6mU5dSMHDw4NmzZrx+uuv06hRI008yxRpaWkcPXqU06dPs3HjRpKSkkwWnytRogTr1q2TIolnFPGbX7hwAX9/f5KTk5Xn1PGipxXoQvqxMjExkcTERB4+fEhISIiy5nNwcMDd3Z0SJUpQvnz5dOt4Od/nPqmpqfTv35+zZ89q4tfCJvz8/OjQoQMtWrRQ3pOSkqIZ6/7991/+97//sWrVKs1Yo07ccHd3Z8WKFZpukeZibgFLKdB9dlGPDbt27WLdunVK7MiSAt3sdsxdv3499erVy9JflB10n30yE+Z6eHiwbNkyfHx8sjyO2gYvX77MvHnzOHLkiMnEsW7dujF79mzA9J5OVjx8+JBffvmFgICAdPF3ddEuEaN3cnKiadOmuLi4KI+fOnVK6aJu3OlMHEev11OqVClWr15N1apVs32dEssh4i2zZ89m8+bNmg7kxqkQudFBNyPBmanE5Kddo6sFuuIcMrFSIpFYEmsKdG/fvk2vXr0yTZKXscxni6ioKC5cuMCcOXOIjIwkLi5Os0ejjhnCEzsT/xZrJLXdAXh7e1OjRg0++ugjypYtqzye1ZrJWgJdY06dOsWBAwdYt26dEkdS5/oJEY+6mLbk+SIlJYXly5ezYsUKUlJSNIId9Zg4aNAgBg8eTMmSJQHrxRv37NnDJ598QkxMjGad36JFC9asWWPVc0skkoJFdsSP6j1xS44h6hze5cuX8+OPP2qKYogYgbiW9u3bM2vWLNzd3bO8DnMFuuIY4t9SmJv3ZMc2P/roIwYNGgRYfn6Li4tj165dzJo1C8i4g26vXr0YMWKE2XtAGQl0TRXPFPYohbkSiUQikVgXKc4twNy6dYtevXoRHR2tJI0XKlQIe3t7xo4di7+/P7a2tulEiup/h4aGsm7dOs6dO8eFCxfSdZwyfo9xgLNZs2bUqFGDd955B1dX13TdRc3BVAKScAT1ej2dOnUiICAgp1+TxEqoN5YtJdA1p2MupLdDU6iD8saiR4G6m676/+rEevUiTPDGG2/w9ddfZ9jBV/JscO3aNbp166aILYQ9f/zxx/j5+WX5frVNffjhh+zevVsZ33Q6HT4+PgwfPpw5c+YQGhpqUqALj0XqI0aMAMwX6K5atYqlS5eSkJDA4sWL6dChg+aaJNZHLcw+cOAAO3bs4Pjx45p5Vt2dHrSbi2oRl3Gw5NVXX6Vv377UrFmTIkWKmB0cyUygqw68qOddKdCVWCPpQhzz4sWLjBgxgoiIiAwFup06dWLw4MHUrl1bsdOnEei+8cYbBAcHK/eYcbBRkv/IqoOusIcBAwbQq1cv/v77b06dOkVUVBTnzp0DUOzJeK2jLk5gPB4b25qwS2PfEqBy5coULVoUHx8fqlevTs2aNalSpQqLFy/m4MGD3Lx5U+NnSoFuwcMSwlyACxcuKAk8YrPFYDDg6+vL9OnTn9oG4uPj6dKlC2FhYTg4OJCamiqT2SRmYa0OuidPnuT777/nxIkTSrVo4zHUeH1frVo1ypQpQ/Xq1alUqRJOTk44Ojry8OFD4uPjuXDhAkFBQQQHB5OQkACgxL7UheWqV6/OggULqFy5siW/Kkk+QYxf58+fp3///kpXvIxiRernxo0bR+/evbMt0IUn9m1u51t112dJ7pOWlka/fv00wlxRQR9gxowZdOzYUbEF499VPU9GRUXx448/EhAQoPEJxe/r4ODAZ599RufOnS1ewFIKdJ8P1HZjDYFuZsJcdbKvuR1zjZEC3WeXrIS5a9asoVq1ajlay2zbto2PP/4YSL9X07JlS1avXv1U156UlMShQ4eYPHmySV9UnTRp7KMK1Daqvj5xT1atWpXFixdTqVKlp7pWieX4/fffGTt2bDoxdZEiRbCzsyM6OhqwrkA3s06Q1lqjr127li+++AKAbt26KX/LsVYikVgKawl09+3bx6hRozTJ4rLI4LNLYGAgv//+Oz/++CNxcXHphLDGmNq3UT8HaOZzeFx8f9CgQbRq1Uqxwaxsx5oCXePXHTt2jL///psffvhBKQIDj+8xKY6QREVF8fXXX7N7925SU1MzFOj26NGDnj17Kt31LGUvYqz/559/GDlyJJGRkZp9WS8vLyZMmECnTp3knqZEIgGy1zFXLcy1xjwnjqnT6Vi1ahWbN2/mzp07gFagC+Dq6sqgQYMYOHAgTk5OWR47K4Gusb8ihbl5T2a2CWQoGrfWb2QwGPjxxx+ZPHlyuvOr53u1SNgcsuqgK21TIpFIJJLcRYpzCygiMPnVV1+xfv16zWMGg4EXXniB1atXK0IwUwER4VClpKSQkJDA2rVrOXbsmJLErk4eUy8kjBdOAKVLl6Z169a88sortGvXLt05ssI4AUlW9i0YWFKgm5kw11RXW0dHR6pUqUK5cuXQ6/U4OTmRlJREcHAwaWlp3LlzR9M1RYgr7ezslGSLrLqnqf9tb29PcnIy9evXZ+3atWYtzCUFEzHO7d+/n3HjxmEwGBT7dHBwYPv27VSpUsXsMWnjxo0sWbKE6OhoxeZcXV2ZPn06nTp14o8//uCLL74gPDzcZOV9gPfee48xY8YA5gt0v/32W2rVqkXbtm01n0tifcTvcP/+fb799lsOHjxIaGiokvCjFg2YwpRgV/2YwWCgUqVKtGrVinfeeYfSpUtLga7EqlizKvr58+cZPXo0d+/ezVCg26pVK/r06UO7du2wt7fPsU+4fft2pk+frti6ra0tDg4OzJkzh9dee02Ok/kYczroAsyfP5+OHTsCj8eu4OBgHj16xMGDB7l9+zaXL18mLCwMeFyBWiDWN+qu5RmN0+qEDxsbm3RFPAQ1a9bExsaG8PBwYmJiNO9VJ/NKgW7+x1LCXHjsx3Xr1k3T5dlgMODp6cn27dspVarUU1/vhg0bWLBgAXFxcZprA5nMJskcawl0b968yR9//MHatWu5f/++clx1Z3JxvozGVFOPqcdtQPGxXV1dqVevHjNmzKB8+fKW+nokJjBXoGppTAlz1Rvqxl2aTYnDnkagmxFyDs9fmOqYqxbmBgQE0KlTp2wdMyIigm+//ZatW7emSwjW6/U0bNiQDRs25Pi+yKwojdp+pUD32cVaAt2MhLnqsVPdMTe7wlyBFOg+e5grzM3u76i2yUGDBnHs2LF06+XixYvz66+/4ubm9tTz66VLlxg5cqSSkKku2KYWBavj8eqkTVPFtlxdXalfvz7Tp0+XPmc+ZMqUKfzwww/AE5sqVaoU5cqV499//yUxMdGkoMcSAt3MhLmgjXlaeo2+bNkyrl27xvz58y12TIlEIlFjrb2iX3/9lY8//pj4+HiNjypjmc8WP/30EytXriQ4OJjU1FSTRfxAWyhVXURFHe8BbQ6R8XsLFy5MgwYNGDBggJIrkRXW7qCr9oF1Oh2hoaEsWbKEq1evcu3aNd566y3mzp2b7eNKnj0iIiL4/PPPOXDggHIvmOqA16pVKzp37kyXLl0Ay8Vq//vvP4YPH86dO3fS7d137tyZDz/80KIxVYlEUnDJT8Jc42tKS0tj6dKlbN26laioKI3PIGKstWrV4tNPP8XHx8esMdRcga4UP+Y9mXXMBfLENgXqYoXqmLn67+XLl5vtw8Lj/bBjx46xfPnyDAW66sLx0jYlEolEIrEeUpxbwDlw4ADvvvsu8MSxF/+NGzeO4cOHZ+t4t27d4p9//mHZsmVERUURExOjcdQE6o1oY6Fup06dqF27NgMHDlQWWuYkqMXHx/Prr7/yxRdfkJiYSNeuXZkzZw4gHcD8jCUEuurE9VGjRrFv3750wlwReK9WrRrNmjWja9euVKhQgWLFimmuJy4uDoAbN25w//59goKCOHXqFA8ePNB0h4YnSZrq7mnqIdG4i27dunXZuHEjjo6OUqz2DCPGqy+//JI1a9ZohN2urq7s3buXIkWKmHWsCxcuMHfuXE6ePAk8SXTz8fFh3rx5lC9fnuTkZP744w++/PJLIiIiMhTovvPOO0yYMAHIfEw0FTCSScK5h/ht7ty5w8cff8zp06dJSEhIl/QFT8YgdVBSXbHfeExSv0fMv+XKlWPevHnUrVvX7GuUAl1JTrCmQPfKlSu899576Tb51MlxNWvW5LXXXmPQoEE4OTlle4MxPj6ezz77jJ9++klznxUuXJhNmzZRs2ZNs48lyRvM7Sb22Wef0atXLyD9nBgXF0dERAQhISEEBgYSFRVFYGAgCQkJSucUQUbddUHbLUc9vwq7MhXoFu9Tv1YKdPM/lhTmCgYOHMjx48c1Pqabmxtr166lSpUqFrnW7du3M3v2bFJSUpRxVCazSczBlEDXOPHHXIGumsTERK5fv85nn33GjRs3lI63xnEs4TOrY06QXpxr6nGDwUDt2rV5/fXX6datGyVLlrTIdyIxjZjvUlNTGTduHIMGDaJx48ZWP29WwlxT3XMz2ty2hkBXkj/ISpi7ZMkSXnnllRwd++DBg4wdO5bExETNOGVnZ0eZMmXYtWuX2TEjU8gOuhJLC3Qz65gr7MkSwlxBRgJd0MYNpEA3/2MtYa5AxB+nTp3Kjz/+mC4Oamtryx9//EGZMmWe6nOI67t16xaLFy/m1KlT3LlzJ11HXPX/jRGvFT5rtWrVeO211+jdu7f0OfMZ4vc+cuQIU6dO5d69e8rv5uXlxcCBA/nnn3/49ddflfcYd9Bt2LAh7777bo4EunkpzDVGjq0SicRaWHKvSD1W7d69m5kzZyqFLidOnMiQIUPSvU5SMNm0aRNff/21JiZovE5Qx8t1Oh2FChWiSJEixMXFKf8W63rxPnUHPLXoQBQGdHZ2ZuLEifTp08es67S2QFcg3pOYmEh4eDinTp2id+/eOT6e5NkjNDSUGTNmcPLkSWUtphbJir/LlStHmzZtmDp1ao5yOdQxg6SkJM6ePcvkyZM1RbXFPVqnTh0WL16Ml5eX5T6oRCIpsORn8aM6H3n27Nls3rw5XZ6H8EPeeOMN5s2bp3kuM7IS6ErxY96T3zrmGpOamsrGjRsVXYSpIq3Vq1dn/vz52codyUigq84xlbYpkUgkEon1keLcZ4Bp06axY8cO4Mkmol6vp1WrVsyZMwcPD48sj2HsZInOUlu2bOHs2bOKsEidiC7OJzAW6dapU4dWrVrRqVMnjeAhM4cuPj6e7du3c+3aNWbNmpXl6yX5g6cR6KakpCgJvcYdc9WCCp1OR/Pmzfnkk0/w9PTE2dlZs2A2thFTC+YLFy4QFRXFn3/+SVhYGNevX1c258V1ioWOCOSL5D0pzH3++OKLL1i7dm26RPBt27bh4+OT4fvUXclnzZrF1q1bAe3ifuXKlbRu3Vp5T2xsLDt37uTbb79VOuwK1Ikh/v7+TJs2zaKfU2I5xG8fFhbG6NGjuXz5MpC+E736NxWIzUU16jFJ/XrxuJh3ixUrxtSpU3nxxRdxc3Mz61qlQFeSE6wh0BXHvHXrFkOGDCE0NFQjXFffL66urjRu3JhZs2ZpbN2cIPmqVauUitPq8XjkyJGMHDkyB9+GJC/IqJsYaO1v5syZ9OjRAyBdVXVjnzEiIgKdTsepU6cICgri8uXLXLp0iZSUFB49eqRZ+6iTQtTjsqk1kjmdq9QddKtUqUKfPn3o2rUrRYsWteC3JskpmQlzhfg6O8JcYX9iPFILwPV6PWPGjOG99957qmtW2/iOHTv45JNPSEtLk8lskmxhLYEuPC6S8MMPP3D48GEOHz6czt9Vj4umUPvV6q7Qzs7OvPTSSwwdOpRKlSrh6Oj4FN+AJCvUwtxBgwZx6tQpypUrR0BAQKZr5aclI2FuWloaBoNBs7k+ffp0UlNTM93cBhg7dix9+vSRAt1nCGsKcwWTJ09m165dJkWQWcWMzEEKdCWWEuhmJcy1sbFREtwtIcwV5ESgm1fd2CWmsbYwF57Y544dO5g2bZrGtu3t7XFxceF///sfrq6uT/15xHU+fPiQw4cPs2PHDk6ePJlh7FWgXvMJXn31VQYMGEDNmjVxcXF56muTWIekpCTee+89jh07pvEDO3ToQEBAAB9//DG7du1SXm8Jga6IBZgS5hr7oNYW5sqibxKJxNpYcq9IPWb9/PPPfPjhh7KQyzOGen8uoxwIeJxHVKZMGV555RXKly+Pp6cnZcqUITY2loSEBCIjIzl16hShoaHs378fg8FAUlKSyUL86qKrAKNHj2bo0KFmzevGAl3hp1paoGtqvpb2LlETGhrKl19+ycGDB0lNTU23N6W+f+rXr8/QoUOpW7cupUuXVh7PaK1tbGv//vsvBw4cYMOGDTx48CCdMLdkyZKsW7eOSpUqWfdDSySSAkF+Fz+qz5WamsrIkSM5ePBgho0Cpk+fTt++fc0+dkYCXZHnJMWPeUdBsE2AqKgoVq5cyerVqwHtXrzBYMDFxYXhw4crsSNzry0jgS6giHSlbUokEolEYl2kOLcAIxz9H3/8kRkzZqDT6RQnSvysixYt4tVXX83RcQXdu3fn8uXLJruXqAOQ4jmBeNze3p4+ffpQt25dOnfunKmgEtCINaUDWHAQv1V2BLp+fn4ZCnPVv71Op6NNmzYsXbo0W4m/xscxJjQ0lPDwcK5evcrJkyeJjIzkn3/+SVel3cfHh/Xr10th7nPGzJkz2bBhg6ZKq42NDYsXL6Z9+/ZZisJXrFihVFdTL+5HjBjBqFGj0m0O3b59m4CAAH777TdNtUvQbmJ2796dDz74ADc3N+Xa5DiZ96jHwEGDBhEWFpZO8Kr+TStXrkz9+vVp0aIFHh4eVKhQgZiYGBITE7lx4wZXrlzhypUrnDt3TiMKMxYrCNsoXLgwgwcPpkuXLpQvX96sa85IoGtcMU0KdCVqrCHQFfdPZGQko0aN4ty5c8pzYnxT+5sVK1Zk+PDhNGjQgEqVKqUTRqqvJz4+ni1btmiEuSIhz8fHh0mTJtGoUSPLfDmSXMFcsYJaoGs8V2aVpBgTE8P9+/c5fvw4kZGRHDt2jOjoaO7evUtycrLyOmPBrzpgDulFusY2KtZPNjY26HQ6ihUrRkBAgKaAhyRvsEbHXMGhQ4cYNmwY8ERoqNfr6dmzJ59//vlTX7vaJjdu3EhqamqebSxJCi5Xr15l/vz5ikBXoL4PsivQFfan1+vR6XTs2rWLEydO8Oeff5KYmAhoiyCI94jHxfvEaxwcHLCzs8PX15fGjRvz8ssvW/ZLkJhEnZTVr18/zp49i6OjI8nJyZQpU4aFCxdaRaAr7OfChQv069cvnTBXveaeM2cOXbt2JSoqio0bN7J06VKADH0GKdB9drC2MFfY4dq1a/niiy/SraF1Oh0bNmygSZMmT/1ZMipKY2zvUqBbsBD7Hub4ZOrX/Pjjj6xduzZTga6Xlxfz58+nfv36SjxHxNlzo2OuMRkJdDMTqEnyB7khzIUna66tW7cyY8YMTaE2g8GAp6cnv/32m8UEsOo1XlpaGitWrCAwMJCjR48qr1HH5NXXY2NjQ9euXWnQoAG9evWyyPVIrIfabxw2bJjS9U6MjbNnz+att95i0qRJ/Pbbb5rx9GkFurdu3aJ///7cvXs3zzrmSiQSSW5hLYHujRs3lA5Rcpws+Kxfv15pymCq2KqjoyPlypWjW7duvPrqq1SoUMGs4166dImLFy+yceNG/vvvP+VxdexHfR6Ad955h8GDB+Pu7p7l8XOrg65EkhV3795l4cKF/Prrr6SkpKSzcXVBIZFzMnToUGrWrEmZMmWyPH5ERAT79+9n27Zt3Lp1SxODEr5x8eLF2bBhA1WrVrX2x5VIJAUAMd/dunULX1/ffNUx1xixnxUXF4efnx///fefRgQpYlAvv/wyn332mVk+gsCUQFfElaT4MW8oKMJcwdWrV1myZAn79u0D0Mzter0eb29vtmzZgpubW7aKsBkLdEW+c1pamrRNiUQikUhyASnOfQZIS0vD39+fc+fOKYkZYqFTp04dli5dqqmMlhVqx+vjjz9m27ZtAOmS1wTqTU1jJ1CdvKzX62nfvj3NmjXjzTff1HT0NdWJV1b2LXhkR6Dr7e3NgAED8PPzY/To0ezduzfDjrlt27Zl+fLlmnM8DRlVB0xNTeXff//l/v377Nu3j9u3bxMbG8uWLVukMPc5QtjY0qVLWbx4cbrgc4sWLViyZEmmiUG7d+9m4sSJgHZx36xZMz788EPq1Klj8n0nT55k4MCByjWIJE/j8bdNmza88cYbvPLKKxQpUsTC34Aku6iDj/7+/ty7dy/Dbo61a9emefPmvP/++zg7O2faFeTRo0dcunSJH374gdOnTxMeHp5u8w+e2JizszO9e/emR48eZm+OyA66kpxgDYGumJujoqKYOXMmx48fJyoqSjmecZedokWLUrZsWfz8/Khbty41a9ZEp9Nhb29PYmIitra27Nq1izNnzvDzzz8DKAn6QhA5evRohg8fbpXvSGJdzO2g+/nnn5udGCHs2pSfmJCQgF6v599//yUkJISbN28SGBhITEwMt27d0rw2o+664hyQvjo8PL4HXn/9dRYsWJCDb0RiSdTrULEetpQwFx4n9vTr14+7d+8qj+n1eooWLcqWLVuU5LOnwZS9yw0WSXYwGAw8fPiQIUOGcOXKFc3jTyPQNSYlJYWQkBBOnDjB8ePHuXbtGiEhIZo1lEAII+rUqUPp0qXp0qUL3t7eVKtWTXmNtPPcITU1lX79+nHu3DnFvxLjojUEuhl1zE1NTU23VhbCXMHDhw/ZuHEjS5YsATLuoDtu3Dh69+4tBboFmNzomCs4f/48ffv2VQplAjg6OpKSksL27dupW7euRc6TUVEaQAp0CyDBwcGMGDGCmTNn0rBhQ6sLdMV7jYW5Yo1ijY65xmQm0BWFHQC+/fZb2rVrZ7HzSnJObglz1Xz++eds3LhR08VW7G1u3LgRe3t7i3ZVVq/34uPjuXDhAidPnuSff/7h0aNH3LlzB3t7e8qVK4e7uzstW7akbt26mni+9DkLBg8fPuSzzz5jz549im+g1+tp164d3377LUlJSUyePJnff/9dk5ibU4FufHw8Xbt2JTQ0FGdnZ5KSknK9Y65EIpHkNpbcK1LvjWdW6F9ScNi1axdTp05Fr9eb3MNxdXWlb9++tG/fnnr16invM7fTJ0BiYiIbN27k8OHDnDhxQjm+mNvV5wPo168f77//Pm5ubllevxToSvILUVFRbN68mVWrVpGQkKARwambqKjtvnr16jRq1Ij69etTu3ZtChcujJubG9HR0dy7d4+wsDD27t1LWFiYJv6vvlcNBgPe3t4sW7bMIvtWEomk4CP8tIzEj2o++eQT+vTpA+Tt/Cj8iiNHjjB16lTu3r2bTgQJsHz5ctq2bZutY4vv4/Tp00yYMIE7d+7QpUsXvvzyS0D6BblJRqJxYZtCuwD5Q5gr+P3335kzZ47SfVmn02n2Pf38/Jg+fXq2NRRCoCuKEwLSNiUSiUQiySWkOLeAIxYQv/32Gx9//DHx8fGa7mElSpQgICCAZs2aZRjEVKN2vKZMmcIPP/wAoCQZiwDPm2++SVxcHAcOHNBsmquDNMbddNWiilKlSuHn50f9+vV54YUXLP/FSPIMYWfmCHQrVaqEvb29UplK/X7xt1qYay1BWGZCcHVXGClGe744d+4cAwYMUBLFxELd29ubgICADAW2J06cYMaMGQQHB1OoUCFF3Oji4sKHH36YZXX9WbNmsX79ek1gQKCu3l+yZEmqV69O//79KV++PJUrV7bAp5ZkF1OV1zISib3xxht0796d5s2bK7+lKHChHoOM5+vo6Ghu3bpFQEAAx48fVx4Xx1AHZhwdHencuTP+/v5ZiiEFsoOuJCdYU6AbGxvLxo0b2bNnD1evXgW0m4FqXwKgePHilC1bFhcXF0qWLElYWBixsbHcvHlTeY0Yj4U99+nTh08++QSQgceCijUEumrUY7Op96WmppKamsrp06e5f/8+f//9N7dv3yY8PFwZS9V2KgSdYtwW6yRhkzIYnv8YM2YMv//+u1JNVPx2TyPMFQwZMoQjR44otmBnZ0ehQoVYsmQJbdq0kTYgyTPUY59azGPM0wp0M0q0jIuLIzw8nISEBG7cuKH4onZ2dlSsWBEXFxeZCJQPUK9Z1eIFYROWFOhmJMzNrGMuaNdUpgS6pgSOsoNuwSU3hbkAgYGBDBgwAEBZYwh2796tKRrwtEiB7rNBSEgI/v7+REZGUqpUKZYuXUq9evWsJtANCAigQYMG7Nq1i8mTJwO51zHXGFMCXUBZB73xxhvMmzfP4ueVZJ+8EOYCjBw5kv3792vs2WAwMH78eIYNG2ax86jJbD8oKSkJGxsbHB0dzX6PJP/yxx9/MGLECEA7DgYEBNCpUyeSkpKYMmUK//vf/zQFqHMi0E1ISGD79u0sXbqUR48epdtXl8JciURiafJLcT5r7BVJCj5Hjx7l888/JygoSOPniSJBHh4efPXVVzRs2BBnZ2cg+/6WOo/nzp07bNq0iTVr1ijPq/e71X7AsGHDGDt2rEYMnhFSoCvJL6SkpPD333/z0UcfERsbCzwpZqn2Y8U9IfaeRBzf1taW4sWLk5iYSGxsrBIXEHuZ6gLX4p6pW7cuX375Jd7e3nn50SUSST4jJiaGQYMGcfnyZU0hLIGNjQ0VKlTg999/Bx6PXzkp7mtpHj58yMKFC9m+fbuy7w9Pxs3mzZuzYMGCbO8PibH22LFj/Pnnn0ydOhWQ/kBeEBwczNtvv018fHyGovGhQ4fywQcfAHmb96j2QefPn8/y5cvTzesGg4H69euzePFiSpUqlW1fWQh058yZQ9WqVVm0aBEgbVMikUgkEmsjxbnPCMHBwQwePJjw8HAlMV04a61atWLVqlVZHiMjYa5IRhbBSnX1mO3btxMYGMj//vc/UlJSgMdBTnFuY5GuCOoIAVFKSgovv/wyo0ePpnr16lb4ZiR5QXYEuqC1GXX3sNwQ5ppCBBzFtcjEi+eTsLAwBg0aRGhoaLpF+5gxY3jvvffSvSckJIRFixbx+++/KwlMYizs16+fEoTJzKY2bNjAzJkzlefV07R6IS6uyd7enkWLFtGuXTtpp7mMKWGuulKpesN54MCBDBkyhJIlSwI5H1fmzp3L/v37CQkJUc4hxlORNOTo6Mjbb79N3759zRYvyA66kpxgjaQLcV8lJydz8uRJtm7dyv79+5XnTXXRNVXMAJ7YrrqwgcFg0CT/mlO8RpJ/sbZANyMyO0ZoaCjBwcGEhYVx7NgxYmJi+Oeff0hKSlJeo+6um5aWRufOnfnqq68sdn0Sy9C9e3cuX76siG+Bpxbmit93+fLlzJ8/X7FZMYe/+uqrysaIRJLbZCTMVXcaVSf1AE8l0FWTUdGazJDjZd6g1+s5fPgw69ev5++//wZM+2eWEOjmtGOuKTuKiopi06ZNWQp0ZQfdgkduC3PhcTx8+vTpgDZOU7x4cXbt2oWnp6dFx6eMfF7jBGMp0M2fqGNGTk5OJCUl4e7uzvLly60m0K1QoQJvvvkmy5YtAzLumLt+/Xqzr+FpMBboynVQ/iOvhLkHDx5k+PDhwJPxVCRIWmP8zgj151LfT8b7RJKCydSpU9m5cyfwxO9r0KABX331FRUqVCA5OZkpU6awZ8+ep+6gGx8fzy+//MKcOXNITExUHpfCXIlEYmnEWBIVFcWdO3eoXbu2Zh0s1sW5tf8hBboSNWFhYcyfP1/JlzC2g5IlS7J69WqLFLYyjgEJgW54eLhi/+q1kLpA27vvvmvyGMZIga4kP3Hz5k3mzZvHpUuXlC57ArVIV10YVh1DMhgMyv6kcTFhkddUpkwZmjVrxqhRoyhbtmxefVSJRJJPSUpKYtGiRezfv59bt24B2q6kYlxp0aIF8+bNw93dPd/k5Jw7d46BAweSlJSkaYZhMBgoW7YsGzdupHTp0tk+rrEvIf2AvEG9b6P2++DJumTYsGF07949XxSeEHaSlpbG8OHDlcLuAhGj/Pjjj/Hz88vROVJTU7lx4wY1a9bUnFMikUgkEon1kDPtM0LFihUZOnQogMaxtLOz4+LFi+zduxfQirzUZNYxVy3MnTBhgiLMBejZsyefffYZGzZsoGPHjlSuXFmpiCSCO4AmgVMd6DEYDDg4OEhh7jOGWMCWL1+ehQsXUrt2bU0gUNiC+t8iKR3yVpgLTzbe1f+WPH+UK1dOSe4VSZ3ly5fH39+ffv36aV4rgkx///03Bw8eTCfMfemllxRhrgjuZESLFi1wdnZWROs2NjaK/Yt7RyTSweNxuX379tJOc5mMhLmpqanKRoeYO0ePHs2kSZMUYS5kf1wRG4cTJkxg1KhRtG7dWnlcBDFFEnJycjI//PADO3fu5M6dO2Ydv2TJkvTu3ZtevXpRqlQpzZgt/ra1teW3335j/PjxQPpgluT5Q/h3derUYc6cOcpGuvA3hc8HsHPnTtatW6d0ws0IkVjs6OhImzZtWLhwIcOHD6dUqVKajtPi+OrzCTtV+xcimCle06NHDynMfYZwcXHhrbfe4qOPPsLZ2VmZf9WbywDTp09n+/btgHZzKKeYClgLeyxfvjxt2rTB19eX+fPns3btWrZv387GjRsZM2YMHTt2pFq1asoa69VXX5UJ6fkMYR8//PADrVu3JiUlBVtbW2Vuf5qOueL3bd68uWYeFXOt6BgKGa/dJc8+xvNbbpCRMFddeEY9x4r5Woy1YWFhzJw5k6NHjyqF27KDmI9NbToa/y2Q42XeYGtrS5s2bXjnnXdo2bIlgBLPUdvEnTt3GDNmDOfPn8/ReSwpzAVwd3fHz8+PkSNHAk/iTGI+FmP5/Pnz2bp1K9HR0Tm6bknuktvCXOEjqItlwZMxqnXr1pQpU8bi41NGPi9oY6YbNmxg5cqVhIeHW/T8kpxjHDNKTk6mUKFCREVFMXjwYM6dO2eWvajXMF27dmXAgAHUqlULIF3M3dbWllu3binCXONu4+qOubkhzAWoXr06/v7+dO7cWbHhLl26yHVQPsGUMFesVawpzL19+7ZGMAlP9olatWqVa8JcIN1ekDqhXdpmwadZs2Y4OjpqCsqEhIQQHBwMgKOjI7Nnz6Zjx47pxA1ivj179izLly/n6NGjJjuvCFxcXHjzzTeZMmWKYtcffvihFOZKJBKLIsaS4OBgunfvTu/evfH392fEiBGsXbuWI0eOEBYWBpiOnYix0JJxJ2vsFUkKHsK2zp07x19//aUU1wU0hV/WrVun+JdPi3ovG8DPz4+pU6cq8Xf1PqB6/bxgwQJlz0jYb0aULVsWX19f3n77bdzc3DRxMPH/0NBQVqxYYdF9KInEFJUrV2bmzJl8+OGHtGjRQsnPFI1SBCJPSeRlwuN7QOw9iMfVRdoNBgMNGjRg1KhRTJo0SQpzJRJJOvR6PU5OTowePZrOnTvj5eWlPG68h3js2DE++OADYmJiNMUy8pIGDRooReLUuZu2trbcvn2bbdu2Adn3k433pOS6P2/o2bOnIs5V+30i1mcwGFixYgXr168nKCgoLy8V0DabeP3113F2dtbkr4nrP3z4MMnJydn2LQ0GA/b29oowVxYglEgkEokkd5Cdc58hrly5wtixYwkJCdFUNYPHlfOnTZtm8n2ZCXMBjTBXvYGodlxtbGyIi4sjPj6eFStWcPbsWS5duqScw7iznwjudOnShS+//BKQ3UmfRbLqoAva311Ul2zfvj3ffPMNIDszSvIGYZfXr1/ngw8+4OrVqzRp0oTOnTvTpUsXHB0d03V3unHjBv379+fBgweaAgS1a9fmk08+wcfHx6zki7CwMDp37kxCQoIyxjZt2pRHjx5x9epVzWbO1KlT0wmFJdYnM2EuaEWrH3zwgVI8w1LnBThz5gzr1q3jf//7X7pzisCms7MzY8eOpXfv3jg5OZl1DtlBV5ITcqMq+pEjRzh69Chr167ViISMO+OqfUkhzAWoVasWr7/+uhJsl3b7bJFXHXQzQ+3jGq9zUlJSCAkJ4f79+7Ro0SJXrkeSPdRjxJAhQzhy5AjAUwlzBXq9nujoaAYNGsR///2Xbu3+xRdf0K1bN8t9GEmBQowFN2/eZOXKlXz00Ue4urpa9ZxZCXPF5l1qaqpmzjXVLfVpO+hKCg56vZ4TJ06wYsUKjh49Cliug25GwlxjewTzhLlqTHXQNdWBdOzYsfTp00d20M3H5EXHXHgs5unVqxcxMTGa9UhaWhrjx49n2LBhVvPrTPm8pjpAT5w4kSFDhlj8/JLsYUrwCNr1yYwZM/D19TX7mOZ20DU1HhoLc82NU1qS//77j2XLluHi4sKsWbPSfSZJ7mPKTkW30JIlS7Jy5Upq1Khh8d9Jp9Oxa9cu5s6dS0xMjGbt7O7uzowZM3jttddkUTWJxRDrepEsrNPpaNiwIRs2bFBszLiDrjpJV6yBGjVqxPDhw83qoLtz5070er1S8FqOdxKJxBKo9yf79u3L/fv3lZwdMXYZDAZcXV2pUqUKZcqU4cUXX8Td3Z06derg4uKCo6NjumOqi1M8DbKDruTu3bv06NGD+/fvKzEXMZe6urqyYMECWrRoYRU/Tz3XBgYGsmHDBv78809NTFNd8K148eJ8/fXXSkHsrJAddCX5kXXr1nHq1CmlYQs8iRGpY7UC48664vmyZcvy4osv8u6771KiRAm5hy6RSDJEzG2JiYmsWrWKH374QSkWqY5PivmxRYsWLFiwAFdX13wR5zl06BBjxowhOTkZeOK/6vV63nrrLebOnZun1yd5etavX6/Enk3tAdra2uLv74+vry+VKlXK46t9zMOHD+nduze3bt1KF+d3dXXlp59+ylFXZ4lEIpFIJLmPFOc+Y3z66ads3rzZ5KbhypUr0wUW1cHAqVOnpqtUnZEwN6sAYlBQEKdOneL777/n/v37ShUkQOlK0blzZ1kd/TlA/LYZCXTFIlf8u0qVKvz666/AY+GCTOiV5CV6vZ6PP/6YpKQk+vXrR506dZSkT/WYlZCQwJgxYzh8+LBGEFS0aFGGDh1K//790212ZnS+f//9l969eytBqcKFC7Ny5UoiIyP55Zdf2LNnDwCTJ09mwIAB1vngkgzJTJhr3MFp0qRJSvKNpQpQqI9z9epVvv/+e3bt2gVgMjG3SJEizJ07l/bt25sd6JQC3YJDRnaVF7+HtZIujMfbS5cu8dNPPxEYGKgkIWeEk5MTNjY2DBkyhObNm9OkSRNAdsx9VjFXoDtz5kx69OgB5P4axLiwh0CuhfIn6rG0e/fuxMbG8uuvvz6VMFfN7NmzWbduHYDiQ+h0Ot5++20+//xzWb30OUSMBbdu3cLPz4/79+/TsWNHPv30U4oVK2aVc2YkzBW+pI2NjUbMM3v2bH7//Xd+//13AJOJbVKg+/xgDYGupTvmmsKUQNeUwFEKdPMveSXMjY2NZenSpaxdu1Yz/un1esqVK8f27dtxc3Oz+HnVmPJ5xX2TlpZGrVq12Lx5s9kFuiTWwRxhbk7jeuYIdI0LBYmxLS+FuYK7d+8qiURyHZS3qH1OdREMgCJFirBixQoaNmxo0RiTep4fO3Ys4eHhiu8g7g8fHx8WLlxImTJlNO9TC49AdiGRmIeIwxw9epSPPvqIyMhIRaDr4ODAjBkz6Nq1K6mpqUqHc7VAF550UM6uQFccE+R4J5FILIM6buTr66spFi0Q86mp7mTe3t4ULVoUHx8fatWqhZeXFw0bNsTOzi7dHnZGcWxzkALd5xPRofObb75h6dKlmtiiwWDAycmJ999/nwEDBpiVM/E01yFs7fz586xfv549e/Zo7gt1Ll2bNm2YOHEiVapUMev4UqAryS+obT0hIYEzZ86wb98+Tp06xY0bNzSvVReoUVOsWDGKFClC7969ady4sbKPLpFIJJB+/lL/u6ALdIcNG8ahQ4cUP0UU0i5evDg///wzHh4ecu4u4BgLdI33APOTQFfcE+vWrVOanAmfVezRL168mA4dOsjmZxKJRCKRFACkiiKXsLZjJBY9/fr14/jx4wQFBSnBFTs7O2xsbDhy5IjSmUkECXPSMTezxYd4vlKlSlSqVInmzZsTHBzMd999x/Xr13n48CEAXbt2Zc6cOWYdU1KwEZvW5cuXZ+HChekEusaV+XQ6HZs3b+btt9/GwcFB2ockzxC299lnn5GYmIiLiwuARighbPjWrVvcunVLM+6mpaVRsWJFunbtavYmk62tLbGxscpmVVpaGgkJCZQrVw4fHx9efvllXnzxRRwdHenUqZPVPrvENBkJc00lWaqFuZYcx9S+RI0aNRg5ciR2dnbs2LFDSZZLS0tT/o6Li2PKlCls3bqVChUqmHUtJUuWpHfv3gDpBLri/ba2tvz2228ABAQEKOeVAt3cQz2H/v333+h0OurVq4e7u7vyOxgXwBB/W8MnFceuU6cOc+bMUZIuxPl0Op1iJzt37sTGxoZ+/fplmXShtldx/Bo1apCamspff/1FaGgo//zzDxERESQnJ5Oamkr58uVxdXWlQ4cOeHt7U6tWLeUYIuFT8uzh4uLCW2+9BZBOoKu2v2nTpgHQo0cPZaMlt3xNdbEiNdLXzZ+o57YffvhBM88+zXwnbK5Nmzbs2LGDlJQUdDqd0j133759DB8+nPLly1vw00jyO6YSLO3t7dmzZw86nY6ZM2daXKCbXWHuhg0bqFu3LlWqVCE5OZkDBw4oax+9Xq+MtWFhYcycOVMKdJ8DbG1tadasmfLvo0ePKjahnn/v3LnDmDFjshToZtYxF7CIMBfA3d0dPz8/4LGIUz2+q32GBQsWAEiBbj7DlDDXxsZGEeYuXrzYKsJceJzYe+DAASV+CShJxr169cLNzc3qyUWmfF5HR0eSk5OpW7cuGzduxNHRUa7P8xBzY0ZCmJvd9Yh6DSPGQSHQVR9LPTampaXh4ODA7t27KV++fJ4W9BLCXFmIJm+JiIjg1VdfBcDBwYGUlBTNXFqsWDGuXr1KpUqVKF68uEViScLuIiIimDhxIuHh4RpBkRCQf/bZZ5QpUybd3pFaRCEQNp8fEjsl+RNhF1WrVqVChQqKODctLY3ExESOHDlC165dlWIwjo6OzJ49G0Aj0BXxRJ1Ox5kzZ1i+fDlApgJd9eNyvJNIJJbA1taW4OBg+vTpQ3R0tKaQldgDEv6mWCcJQVZaWhqhoaHo9XouXrwIPB4jy5QpQ5EiRWjbti2enp40bdqUMmXK4ODgoOQYGZOV/5rdvSJACnSfAYT45vjx4wDpCqdWqFCB1q1bW1WYK65D2JqPjw99+/YlOTmZP//8UxFiqG0xMDCQwMBAqlSpYpZPWbZsWXx9fQHSCXTFWi00NJSVK1cC0LNnT+kHSKyC2tYLFy5M69atadmyJTqdjiNHjhAUFMT169e5ePGiMubGx8fj4eFBlSpVKFasGF26dMHNzQ1PT0/luFL0I5FI4Im/d/v2bc6cOcNbb72liUmKv52dnZWcciHQFa8RBQRtbW05duwYY8eOzXOBrjhv3bp1OXTokBJTUouNk5KS5NydjxG/YXJyMoUKFcrQjvr16wfArFmzlJikTqfT7Adu2LABIM8FuuIzVKtWTfGhxTwv1ncXL16kQ4cOco6WSCQSiaQAIDvn5iHWSASPi4tj8uTJ7Nu3T3EqRSDUw8OD7du3U6ZMGU0ChiU75gqMAzapqan8/fff7N+/n7i4OBYuXJjtY0oKNmJxFBYWxujRo9N10AWUv729vfH19WXAgAGK/Uo7kWQXtSgtJ5uH6mNkxZdffsmaNWuAJwtkJycnVq5cSZMmTcw6lxiXFy5cyDfffKNsqnp5ebFz506KFCmSaSV2iXXJrGMuaCutWUuYmxFBQUEsW7aM3bt3A086mKmv64UXXmD+/PmUKFHC7OOa20H3jTfeYN68eZb/YJIMUY9Na9asUarneXl54e7uTu3atWnUqBGlS5emYcOG6HQ6ChcurDnG01Q+N+fazKmK3qNHD7MEuhmdQyA21HU6HYmJiRQrVkxuHj7HFIQOupKChXqD0JK2Eh8fT8+ePbl586ayiSnmbbEOl0nmzxdBQUH069dP6V6m1+sV0farr75qUYFuVsJcQPF11V32xHtv3LjB119/zYEDBwDZQfd5xxIddDPrmAta23waYa6ajDroGnfolR108w+mhLnCzgC++OILunXrZtH5UxwrIiKC8ePHc/r0aWU9LOykVKlSLFq0iAYNGpg8hrrjo6UQPu/XX39NXFwcDRo0YO3atVKYm8fkZjG3rDroCrsTcZySJUuyadMmypcvL31MCQDdunXj33//VcZT432aChUq4Ovry9tvv/3UcRYxLkVHR+Pn58fNmzfTdfqztbVl4sSJ1KpVi6tXr3LkyBHS0tJITU0lLi6OEiVKULJkSVxcXKhTpw5ly5albNmyeHl5mbRpuc6XGPP3338zdOhQTUdxgHnz5vHGG28A2iTPyZMns2fPHo3t56SDrkQikViK5ORkpk2bxu7du5V5T90FVI1xCpj6NerCFsY+QOHChXF1daVy5crUq1ePMmXK8MILL+Ds7KwUWRFktcckO+g+f+zYsYNp06Yp618hygGYPn06ffv2zbVrUdvl8ePHWbRoEefOnVPWSfDkXihTpgxbt26lVKlSZvu8mXXQFcdwcnLim2++0RS2k0isial1kXgsNTWVtLQ0HB0d5TpJIpFkinFuXGJiIlOnTuXtt9/WPK/+u6B10A0MDGTQoEHodDpl3ra3tyclJYU1a9bQokULmW+UDxH2FhQUxIwZMxg+fDjNmzfP1I6MO+ga5w3lpw66qamp9OvXj3/++QdA2YPS6XR06dKFL7/8UtqlRCKRSCQFAJmlYWGMFw4RERHExcURHByMi4sLhQoVomrVqhQvXtziAQ+DwUCRIkUYNmwYhw4dIjk5WQn+FSpUiPv37/Ptt98yadIknJ2dAct1zDVG7QTqdDrs7e1p37497du3Vx6Xm+PPF2KxUK5cORYtWmRSoCsSh0JCQtiyZQsAAwYMyPWuZpJnAzEO6XQ6QkNDSUpK4s6dO3h5eVGqVCnc3d2V12a0eM1qQWswGEhNTeXixYtKAq9YyJctW5by5cub1QlCjNMAx44dU64boEmTJri5uZn5qSXWID8LcwEqVarEoEGDiIuL46+//kKn0yljq7Cj//77jz179tCnTx+zk3Sz6qBbqFAhbGxs+PXXX2nUqFGubqo+z6jHq7Vr1yrCXFtbW+7du0d4eDgXL15k27ZtwGP7KFq0KK1ataJ06dLUqlULb29vChcunK7yubqKZU4Detmpir5jxw6AbAt0ja9NVIAXVeDV1yEDk7mH8ZiXV75bQeigKylYqNf3lrIRnU6Hi4sLnTp1YtmyZYoNinn72LFjvPPOO1I08RwRFxfHBx98wP3793F0dCQlJUXZdNPr9ezduxfAIgLd7Apz169fT7169TTisqpVqzJhwgQATQdd9VgrO+g+P2TWQVfdVTmjDrritaY65hoLZS0lzIWMO+ga+wwLFizA1taWHj16aOIIktxFr9fj5+fHhQsXKFSokCbJ18bGhiJFinDjxg0iIyMpWbKkRXw7YRMGg4Hp06crwlz18/A4DmAszFXvEZi6jqdNPhI+b2JiIvv372fVqlVSmJvHmIoZGY9hlowZmdNBVz13R0ZGMnDgQAICAqhfv75cLz/HiPFn165d9O/fn5MnT2oKHgi7vHXrFps3b8bGxoa3336bokWL5shuxLgUExODv7+/RpirPp5Op2Pt2rXcuXNHIyxX/22Mq6sr1atXp2zZsrRv357ixYtTv3597O3tM0xKlzyfGAwG6tevT8eOHZWOuMLX+/PPP2nVqhWurq7KmkbdQfd///vfU3XQlUgkEkvh4OBA9+7dSUhI4I8//gC0xXrVZCaWFa8Xwlyxr6LX60lJSeHOnTvcuXOHI0eOAI/XzjY2NjRu3JgyZcrQsGFDatWqhaurK8WLF8+0QLZer5cddJ8jbty4ATwRvQrbqlWrFq+//jqQe1051XuEzZs35+HDh9y6dYv79+8razThD9y5c4cFCxYwY8YMszv7muqgK/Ypxf78K6+8IoW5klxFrHeE7avXd/b29tjb2ytrK7knKpFITKHOjevbt68S51y6dCl6vV7pCG+qg+6QIUOArDvoij2ivBToFi5cWLMHpe5QGh0dDWSdLyrJXYQ93bp1Syl0HRcXx6RJk2jcuPEz00G3SJEiJhtd/ffff8r6TcY3JRKJRCLJ38hMDQshghvC+fnxxx+5dOkSu3btwmAwEB8frzjz5cqVo2TJknTt2pX69etTs2bNdMfJCeL4lSpVom3btuzdu1cJfIog+4ULF0hKSsLZ2ZnJkyeza9cuwLLCXGOMA0Dibxnoef7ISqAr7EKv1xMcHCwFupJsI2wkLS2NxMRENm7cyKVLlzh69CgGg4GEhASKFClCsWLFePnll2natCmvvvqqZmzKzhhsY2NDREQEgYGBAJoN0Fq1auHp6Wn2cQA2bdrEuXPnFMGcXq/Hy8srR9cmsQwZCXPFfJnXwlxB7dq16dWrFw8ePOD8+fOayr82NjZER0ezZ88eunTpQtGiRc2+vowEusK/0Ov1dOnSRQpzcxHxu65bt44vvvgCeGKHan9UJI0FBQUBcP78eQCKFi1K0aJF8fLyomnTpnh6etK6dWsKFy6siA2Mx0R1QqS512htga4adfBRnYgux8zcQ4wpkZGRXL9+nRYtWihjTF5sqkiBriS/I+6JBg0apEuCBzhy5Ai7du2iW7dueXWJklzGYDDQrVs34uLiuHXrlkbUaEmBbkbCXHXhGeOOuUKYazw+SoGuRE1mAl21TRgLdMUGuKmOudYU5gqyEuiKawkICMDDw4Pu3bs/9TklOcPW1lbpXiwKRqmJjY1l165dJCUl8d5771GiRAmLdHkEGDlyJIcOHdIkrQt8fX0pV64c27dv5+jRo6SmphIfH09SUhJubm64ubnh6OhIzZo1KVeuHOXKlaNChQqZJsubi4uLC76+vkrcVApz847c7JirxhyBrjrmfvv2bcaNG8f8+fOlQPc5RthloUKFWLdunUagC9qx6NatW2zatAkgRwJdtTDXz8+PGzdupBPmiv+LODs8KWogxlt19zURlxQddQMDAwkMDOTHH38EHsdIixUrRqtWrahcuTI1atSgXLlyJuMS8h54frCxsaFo0aI0a9aM3377TfPbHzx4kH79+tGgQQNNVxInJye++OILbGxsFEGv8EHUAt1vv/0WkAJdiURifYTI0N7eHp1Oly4WYzynGRe3EHvPYi9bPK9eX4njqAu9REdHo9fr2b9/P3q9nnXr1lGoUCFKlSpFo0aNKFWqFC+++CKurq54e3vj7OyszOXimurUqcOsWbOYOnWqFOg+gxgMBqKjo/n999+Vfwv0ej3e3t7p9h9zA7Wv2bFjR+7evcuXX35JWlqaJl4FcPnyZaKjo/H09DR7vZaRQFfd3QykCFKS+6i7Q2fnOYlE8nxjKjfOwcFBKd6yYsUKDAYDvXr10owh2RXoHj9+nLFjx+ZpB93ixYvj4uJCUlKS8pgYH433HSR5jynbdHR05PLly8yaNYtp06bRsGHDDPdGTAl009LS8pVAV9wf5cuXB9DcN/CkYYVEIpFIJJL8j40ho5LDErMRDmBSUhL//fcfa9asYc+ePcriQzh+IulWOHWOjo44Ojry3nvv0b59eypWrKg53tOwc+dOpk6dCqTfyB45ciRRUVHKpro1hbkSiSnEwjosLMxkB111olvFihXp06cPAwYMSFfdTyJRI+wqKiqKH374gT///JMzZ85oOoiL16SlpSljdN++fXnttddo2rRpjmwsKCiIt956C1tbW1JSUpTHW7VqxXfffQdgViDp9u3bzJo1iz///FO5Zg8PDzZu3Ii3t3f2vxDJU5OdjrkfffQRgwYN0rwvt1Ans61du5ZvvvmGR48eaexZBG3eeecdRUSRHSIjI9m6dasi0BWblp07d+arr74CpM+Qm6xatYq5c+cCWjtUbzSr/y8SF9XBRTXFihXD3t6epk2b4u3tTc2aNalbty4ODg7pigyI39mcILm4hkuXLikCXXGdoE1U7tGjx1MJdCV5h3EF1fv379OtWzdefPFF2rVrh7Ozs/La3E58jY+PZ/fu3ekEuqC1v5kzZ9KjRw/N55FIcouJEyeye/duzZit1+vp06cPn3zySV5fniQXefToEb///jvffPMN4eHhiihX3UHXYDDw6quv5kigm92OuevWrcPHxyfLcfH69et8/fXXHDhwAECTFCrG2nLlykmB7nOCXq/nxIkTrFixgqNHjwKmbaJMmTIEBATQsGFDk8Jc0IrGrSHMVSPipEuWLAFQOggKH7patWrs2LHD7A4qEsuiXtdOnDiRX375RWMDYg41GAyUKFGCTp068e677+ZYoKsWuY4aNYp9+/YpwlzjrlSenp5ERERoktcz224pUqQIVatWpUyZMrz00kt4eHhQv359ChUqlG58zE5ikhSY5R3mxIysXcxNfcwff/xREegCJmPuXl5eUqD7nKL+vdVjXUYddMXYWqFCBfz8/LIl0M1MmGt8TZC+Q6453XONE8uFv6FeV5UoUYLy5ctTtWpVWrdujYeHB40bNyY1NVX6pXmIsQ1ZeyxSH//999/nzz//BJ6M1S+88AJLly6laNGiynvEPJycnMyUKVMUgS48SYoU9tywYUPeffddKdCVSCS5gsFg4PTp06xcuVITizEWEtja2uLl5UXp0qWVItMCMf6p52bjQkTiMXUhDbHfLnxegZhTa9asiaenJzVq1KBRo0aUKFGCGjVqKMe4cuUKEydO5MaNG5oiw+pY/dtvvy0FugWQO3fu0KVLF+Lj4xWbKlSoEDY2NixcuJCXXnopz9Ye6vXS9OnT2b59O6AtVAwwZswY3nvvvWwf//bt22zdupUdO3YQFRUlhbkSiUQiKXBk1rRC+IE6nY4iRYqwefNmqlWrluExEhMTWbVqlSLQBdPxyRYtWuSZQDc0NJS3336bR48eKY8JIfLixYvp0KGDjJnmEzKyTRED1Ol0VK5cmWnTptGiRYtMf7P169cza9YsAJN5Q7a2tvj7++dpB9158+axYsUKzX6TjY0NPj4+SpMriUQikUgk+Rspzn1KhAMYFRXF1q1b2bt3L//++6/iGInXqAPXgGbhAtCuXTveeOMNpcNTToN06iqTI0aM4MCBA8q5RTKccN5ACnMleYcU6EosibCn8PBwpk2bxoULF4iNjdVU9zUOnKg3+ho0aEDnzp3x9fXNto2dO3eOPn36KBuZYsxt0qSJUlnLnKDNokWLWLZsGfAkCblBgwYsWbIEDw+PnHwtkqdAHeDx9/cnMjJS0/0EnmzW5WXHXPW1CNudOHEiv/76qyaYJO6DmjVr8vXXX1OlSpVsnyMyMpJt27axbds2IiIi5OZiHhEREcGECRMIDAzUdG4ydumNBbriMUDxC9VJFcaCXVdXV4oVK0aDBg0oUaIErVq1wtPTk4oVK2qSF9Xjm6mxLjsCXZl0UfAwJcwVa47ChQtToUIFBg4cSI0aNahVq5byvtzcYDEl0BXztRToSvID33//PXPmzFGS6MS4bmdnx7p162jcuHFeX6IkF7GWQDczYa46YS67wlyBFOg+O6j9RyFsyW4SgrkC3bJlyzJixAg+++yzXO+Yawpjga6joyPJycnUrVuXjRs34ujoKDuT5iHCfzQYDEyYMIFff/3VKgJd4465+/fvV/xWEadUr6PE40LQJp5XX5OITam786ipUaMGxYoVo0WLFlSrVo3KlStnuGaXSUH5i/wgzBVIga4kI4KDg/ntt994//330z1nLYGuOR1zQbtPqt6rVHf2U+9ngtZXMfV/gbpDsDrmZWdnR+3atUlMTGTBggVUrVr16b9kSbYQthUTE0NaWholSpQArB8rEuf96aefmD17NnFxcYptlSlThtmzZ9O8eXPNdUiBrkQiyQsym2PV854pga66UIWTkxM1a9Zk7ty5JCUlceXKFY4fP86tW7e4ffs24eHh6eZJsR5XH8d4n0m8ztR6Rz1v29raUqhQIWrXrk3x4sVp06YN9evXJzw8nEWLFhEcHKzxDeReUcFE/H779+9n5MiRGp8PHuc8bN26ldq1a+eL6zxz5gwzZszg2rVr6Qq8N2nShAULFuDu7p7t9dHt27dZsWIFgFJwU+4zSSQSiaQgkJkwF7T5POo4Z2bHyq8CXeEPnDt3jsGDB5OcnKzZg9XpdOzYsYO6deta9Tok5pGZbRoMhgwL/GbGhg0bmDlzJqCN4Yu/bW1t6du3L35+frkq0BV2OG7cOPbu3Zuu+KCPjw/btm2T/qVEIpFIJAUAKc59CoSzExERwRdffMHx48eJjo7WiMHAdEKOeFzt5FWpUoWePXtaJFlDr9ezcuVKAgICTFajFtcjAuUghbmS3EcKdCWWQNhRaGgogwYNIiwsDHiyMaiuvKtGHVwBKF++PF26dOH9999XxnBzbOzy5ct0795dOaf6+DNmzMDX11f5d0YbOUKUAdruQAEBAXTq1Mncr0JiYe7fv8/LL79McnIyTk5OJCcna543GAz5SqAq7oW4uDh8fX25du2aZkwV/589e7Zis9klMjKS1atXk5qayrRp04C8/9zPGwaDgVOnTvH999/zxx9/AKRL8Fb7mupEyowEu+oECiEIMxbrOjo6kpKSQvXq1alcuTLVqlWjWbNmFC1alOrVq5u0A5HAAY+D7VKg+2whfvNbt27h6+urBMP1er0yHul0OpydnXF2dsbPz48mTZrQvHnzXL9Wczvofv755/Ts2VPz+STPBg8ePKBw4cKaTs75haSkJHr27KkkBMETu+zTpw8fffRRvrxuifWwtEA3K2GuegPTycmJ9evXU69evWyPg1KgW7Ax5/fOSPyS0fFMCXRFjEfYhDieWpir7sKTW8JcgRDoLl26FIPBQIMGDVi7dq0U5uYTrC3QzUqYa+oeyGhrJaPn1cm/4pzGie7FixenXLlyeHt707ZtW0qVKkXTpk0BcrWDgCRzMkoKygthrkAKdCXG3Lp1Cz8/P6pVq8aaNWtMvsbSAt2sOuYKMaMY+0RnEg8PDwwGAzExMdjb25OYmJjuWkW8Xy2IzGicVf8b0IgtDQYDL730klIoU5J7CJsKDg6md+/e+Pj40Lp1awYMGKC8xtrj0cOHDxk4cCBXr17VrIneeust5s6dm+71GQl01TFPKdCVSCSWQoyTDx8+xN7eniJFiqR7TVYCXeNirs2aNeOrr77C09NTee+9e/e4efMmd+7c4ejRo8TExHDu3DkSEhIUX1bsF6kLEYlrNC7Yatxd13jPSn09NWvW5NatWyQkJCiPyb2igs/WrVuZMWNGOnsoV64cmzZtokSJEvlivZGamspnn33G9u3bNT6qiE2tX7+eBg0a5OjYDx8+xM3NDZD7SxKJRCIpGGQkfnyaAoTZFeg2b96chQsX5moH3SVLlrBkyRJN8TiRJ7V7924qV65s9WuQZI4lRePGmBLoqvey80qgC09is+p9pLS0NHr16sVnn30mfUyJRCKRSAoAUpybQ4SjExYWxrhx47h06ZISiDYWhImNa3XnWvEYaAUVpUuXZujQofTt2xd4uk3I+Ph43n77bYKDg00KM9QLKCnMLfgU1N9NLawcM2aMFOhKsoV6LO7Xrx937txRNlLUBQiME4rUdqX+28PDg27dujFu3DglqSKrwE9KSgrdu3cnODhYcw69Xk/jxo15//33adWqFfA4OUmv1yuJ6HFxcWzatImAgABAK8x98803mT59Oq6urjJBLo8ICwtj5syZyqa28SYdQMmSJZkyZQovvvgiLi4ueXWpCsL+tm7dyrx584iNjVWuVcz7NWvWZPXq1bi7u+foHLGxsRQtWlRzPknuYE7SRWbvMa4CnVHlc3UVPoGpTk82NjY4OjpSr149ihcvTvPmzalQoQLe3t5UqFDB5Gc4f/48U6dOlQLdAo6wmZCQEHx9fYmKitIkpKsTFA0Gg2Kbbm5u1K9fHz8/P6pWrYqXl5dyTGtvtkiB7vNLSEgInTp1ol27dsydO5fChQvn9SUpiJjBkiVLWL58OaAV6ZQvX57vv/+esmXLSnt8zrCUQDcjYa6pysJPI8wVmBLoGosxpUA3/6C2j+TkZKKiojhz5gzXrl0jJiYGnU6Hu7s7ZcqUoWXLljg7O+Ph4WHy/abISqALpPNH86JjrjEPHz5k+fLlnDx5kk2bNuHk5CSFufmIrAS6guwKdM3pmAtoYuzCnkXCurg+c7s8GpNRl0eA2rVrk5CQwLRp02jdunU2vzWJpclPHXONkQJdiSAkJIS+ffty//59vL292bBhAyVLljT52swEuuqxKyuBblYdc9X3SMWKFfH29qZXr164u7tTpUoVDAYD0dHRpKWlcf36de7cucPt27f5559/SExM5Pr16xpxjzie+lrB9Lgr5g69Xk/nzp356quvALnuz03UiZX9+vXj3r17ym/YqlUrOnfuTMuWLTV2aulxSVzDoUOHGDduHPHx8cp8bmdnx7x583jttdfSvU8KdCUSSW4gxqigoCD69OnDV199Rdu2bU2+1lyBrnhN06ZN+frrrzUCXeNjBQUFER8fz+nTp7ly5QpBQUFcvHjRZNEM9Rys7n5rqmiG+L+6aQBofdOMcpjkXlH+R/x2S5cuZfHixenWszVr1mTbtm35IgYorjUiIoJevXoRERGRzu7Gjx/PsGHDnspHlOsqiUQikRQEMhPmGu/VZDfOmV876BoMBlJTU/nggw/Yv3+/EscX19GuXTu+/fZbq5xbYj5Zdcy1RAzeWKBrHLvMC4HusWPHeP/990lKSlIeE/fK9OnTFT2JRCKRSCSS/I3MKsoBwpELDQ3lnXfeISQkRBF7Cadd3TW3SJEipKamKosO8Zxw7NRJO3fv3mXHjh2UKlWKDh065Dhop9PpcHFxoXv37ixZsgSdTqe5JvUCavz48VKYW8ARC9O0tDQuX75MrVq1Csymr9ggKl++PAsXLkwn0BXiIL1eT3BwMFu2bAFgwIAB2epuKnn2ELZx7949xo4dqxHmivtBjHsuLi44OTnx8OFDJdiiHl+FLd2/f5/t27eTlpbGxIkTFRFaZoEfBwcHSpcuzfXr15W5QCA2RMPDw+nZs6cmmXfv3r0cPHiQnTt3AlrhZ+nSpXnppZdwdXUFkBs4eUS5cuWYMmUKLi4u/Prrr5okWRGMjIyMZObMmUydOpWXX34ZR0fHPL1mMR42a9YMV1dXHj16pPE34HH3wJiYmByLc4Uw11i8KbE+6kSGxo0bK48fOHBAGauMBbpOTk7Uq1ePEiVKcPDgQZKSkjQb48IvhCd+oDoALc6nFosJ+9fr9SQlJREYGAjAH3/8gV6vx8PDg7Jly1K6dGlefPFFPDw8aNiwIU5OTvj4+CjzfVBQkHJc9f0lxkWZdJF/sbGx4dGjR7z77rtERUUpnZXFc8JO1IIsnU5HTEwMBw4c4Ny5cxQvXpxhw4ZRq1YtatWqpdihtRIXXFxceOuttwDSCXR1Op1if9OnTwegZ8+e0td8BggODmbgwIHodDr++OMPPv30Uz7++ON8UVADnszbHTp04Pvvv0+XGBwaGkpAQADz5s2TdvicUaxYMSUp3Figq57z9+7dC2BSoJuRMFeMd8bC3HXr1j2VMBegatWqTJgwAdD6J+qxVhTAkQLdvEPdwQTgt99+4+DBgxw+fJioqCiT73Fzc6Ns2bL06tWLFi1aUL58eWxsbDJdL9va2tKsWTPl30ePHtXYhJr8IsyFx591xIgRSkxACnPzF+o4zddffw1gsoMuPF77/vbbbwCZCnQzE+aKuD2gjMGCYsWKkZqaSkJCAoUKFVKSJtSvEfeacZEjUwnxwv7VXccFly9fxtvbW+mgK8k7rJGwZknUaxgxjgqBrnEXVFtbW8LDwxk3bpwU6D5jiI65Dx48oFChQsTHx6ebe9WoBTbr1q3LUKArjr1p0yYAjUBX+HoZdcxVJ85169YNX19fatSokS6WKuLhVapUUR5LTEzEYDBw4cIFHjx4QGBgIFevXiU0NJTIyEhlT1ZdbM44JiGFuXmLqcRKBwcHJeHxyJEjXLx4kVKlSjFhwgRq1KhB6dKlMy1qkRPE7125cmXq1q3LiRMnlGPrdDrOnDnDa6+9lu6cYh53dHRk9uzZAIpAV3w+8ZqzZ88qybxSoCuRSMxFPU4OHDiQmJiYdN1p1ajHx6z2imxsbAgMDGTChAmKQFfM++pje3t7Y2trS926dZXjBQUF8eDBAw4fPsyDBw84d+6csscIKHO7OJb4HOrisALxmPhMamGu+v/Ge0U2Njb4+vpSp04dC33bEksi5sC4uDjlMfVvb7yOzkuEf+jm5kbLli3ZtWuXso4T13jmzBmAp/IR5XpKIpFIJPmdnHYlNTeOIuKTzs7ODBkyBEAR6JqKTx47doyxY8daXaBrY2PDqVOn2Ldvn/J5xONAhg0IJLlHVrZpqeKY/v7+wOP9dfX6Q/33xo0bAawu0BVrsqtXr5KYmKjJC7Szs8PFxQUfHx/NayUSiUQikeRfZOfcbCIcuVu3buHv769U9lWLwQoVKkThwoXp0qUL1atXV5IbY2JiOHHiBKdPn+bUqVPpKrmoq+q//vrrfPzxx7i7uz+VU3X+/HkGDBhAYmKiyeS3Dz/8kMGDB2s+m6Rgoba9bt26ce/ePebPn0/Tpk3zzaav8aLZlK3JDrqSnBAfH8/8+fPZsmWLppNUWloaRYsWpV27drRp04ZmzZrh7u5OcHAwkZGRLFq0iKCgIGVzU4yxwsaKFStG9+7d+fDDDzPtoCts78CBA0yaNIno6GiT1dLhccX0EiVKYG9vT1hYGP/99x/JycnAk01LsXE5bNgwxo8fD8iFdX7g1q1bLFy4kF9//RUgnUA3LS0NDw8PpkyZki8EuoLt27crIjN18Eav1/Puu+8yduxYaV/5lKx+l6yqoqsTH5ydnalbty5Lly7FxsaGy5cv8++//3LhwgUiIyO5cOECQLrK5yLAmVV3XeNENePuuoJy5cpRrFgxGjZsSIsWLbh58yZbt27lzp07mgQN2UG3YDF8+HAOHjyo2UAxTroR86yxvYg518vLi/bt29OlSxcqV65MkSJFNK+xtI9nqoOu8ZgOsoPus4BOp6N3795cvHgRZ2dnZZzr0qVLvhLointj+fLlzJ8/H9DeN2XLlmXWrFk0a9ZMztvPITntoGvcNU/dMVd097Nkx1xjrl+/zrx58/jrr78ArX8ixtry5cszZcoUWrVqJQW6uYh6rj516hS//fYbmzdv1nQKUa9/1TEnQfPmzXnxxReVeGJWiRKZddA1FZb++uuvefPNN5X35uUcLMfd/EtWHXTV65jMOuiqhbmjRo1i3759muJFYk7W6XR4enpSpkwZ+vTpg6enJ/Xq1SM1NVVJQr5+/TphYWHcvn2bs2fPkpiYSFBQkDLuwpPxMKMujwKRmCS6S9WrV48NGzbg6Oho1e4BkszJzY65Tzv+ZdZB11isITvoPluEhITg6+tLVFQU9vb2iiBi8eLFdOjQwewu4sYCXePkSeMOukCGwly1L9G/f3+mTJminDMjW1efL6PrjYiI4NKlS4SEhPDXX38RGxvLlStXgCcCH3X3CynMzRuy6sZjXOTN0dGRZs2a8corr9CrVy/lOJae/9SxczGO29nZsX79eho1amTyPbKDrkQisQbq/CNfX18ePHgAPI69jxs3LtM5y5wOuurXqjvoZrX3beq8UVFRJCUlcfXqVS5dusTt27c5duwYycnJPHz4UPNa4w736kIaGe01qef9QoUKKf62OlYvyZ8sWbKEJUuWaAoAA9SrV49Nmzblu6Jne/fuZfTo0YA2Fl+pUiU2b96sFIyRSCQSieRZw9rCXFPnyi8ddMPDw5k8eTInTpzQ5IiI/fgNGzZQpkwZGRvNIzKLH4F1YvDmdND19/fH19fXqgLdK1eu0L9/fx49eqSs48R90ahRIzZs2CDjmBKJRCKRFBDyVwQsn2PKATQW5hYtWpQuXbrwyiuv0Lx583THaNGiBWFhYRw5coRPP/2UtLQ0xYlUV9b93//+R9u2benWrdtTOfs+Pj4MGjSIZcuWaapRAhQpUoSyZcsC2k13ScFB2F5qair9+/fn2rVrAEoXxxdeeCHPN33Vmy5btmyhY8eOuLm5ZVh5WnbQlZiD+L1v3LjBsWPH0olqSpQowezZs/Hx8cHNzU15X9WqValWrRo1a9bkp59+4qefflISdkTSo16v59GjR/zwww/A4yIGGXXQFTZXrVo1qlevzsmTJ5XXqm3SYDBw9uxZk+9Vb47q9Xq6du2qCHOlXecOmW00w+PqeGPGjAFI10FXJNXev39fqZqfXwS6NWrUoFixYsTGxipBGzHu3rt3D5DVe/Mj6vnxzJkz1KhRI52ALDtV0RMTEwkMDGTkyJF8+eWXNGvWTOlgptPpCA4OJj4+nsOHD3P37l3OnTtHWFgYqamp6RIi1PeJ2p7E8yIQKp4T95NOp+POnTuEhYVx+fJlNm7cSKlSpRQ7VH+urDroykB4/kDYwbvvvsvly5eJjIxUfhdnZ2deeOEFoqKiuHv3Lvfu3dMUwlAnyKalpXHnzh02btzIX3/9RdmyZXn//fcpV64c5cuX13Qps9R8mFEHXfWYLjvoPhvY2dnRtm1brly5QkpKiuKj/fTTTwD5RqAr7g0fHx9KlSpFZGSkYnMGg4GwsDD+/PNPmjVrZvGuQZL8T2YddNVzsnEHXVPCXPWmpaU75hpTtWpVPvjgAwD++usvjX+i0+mwt7cnNDSUcePGsXnzZmrVqmWR80oyR20zq1atYu/evUqhFnWHY9H9DlD+Vq+3jx8/zqlTpzh//jwBAQFZJkhk1UFX3eWuWLFi1K9fH7C8ACMnyPE2/5JVB131fJlRB13h+0F6Ya6xSL1JkyaMGDGCGjVq4O7urrkWEXcqX7688lhKSgp6vZ6LFy/y4MEDzp49y+XLl7l9+za3b99W7jX12koIekTHRyHMrVu3riLMlTH8vMPa1frVCNsA2LlzJ/fv32f48OHZOkZmHXSFnckOus8e8fHxjBkzhqioKBwcHDTFAUJDQ4HM57bMOuiCdmwVHXR1Oh1DhgwhJSUlnTDXuEDx4MGD+fDDDzXHyug+EY+bul4xRnt6euLp6Qk83idKTU3lzJkzPHz4kIMHDxIWFsb169eJiYmhY8eOUpibB6gFZ8ZjqLpgqrpQTHJyMocOHeLQoUP8/ffftGnThs6dO2vi7U8zRon3du/enQMHDvDHH39o4kEbN26kWrVqiuhcTWYddEX8XXbQlUgk2UH4YsadxVNSUnj06BGQeQdPc/eKxGuMO+hmtvet3uMW11m8eHFsbW2VgpvwuDhHcnIyR48e5c6dO5w6dUrZd4qOjtYU+xJjt7rAq6mCRepiB506dZLC3AKAk5NTuscMBgORkZFERkZSpkyZPLgq0xgMBurWrYunpyeRkZGKjRsMBkJDQ4mKipLiXIlEIpE8k+SmMBfyVwfdpKQk/vrrL/777z+AdAXlGjduTNGiRWVMNI/IrY65xpjqoKvT6TR5axs2bACwmkD34cOH7Nixg4SEhHT7pkWLFqVv376ZNhaSSCQSiUSSv5CZHGaSmQMonHR3d3emT5+udGhUv0/9d7ly5ejduzdly5Zl2LBhpKammkwIX7ZsGc2aNcPLy+uprr1hw4a4uroSGxurXAdAbGwsR44c4bXXXpNJPQUQ0SknNTWVAQMGcPbsWeV3vHnzJjNnzmTatGl5KtBVC3P9/Pz4559/CA8PZ+jQobi6ukqBriTHiN95y5Yt3LhxI50wd8WKFdSuXVt5vbA1kSDh7u6Or68vlStXZsWKFZw6dUqxn+wKdAHKli3LyJEjGTZsGElJSZoEJOPNRHE9ansWj7311lvMmTMHyB+JyM8D6gShjRs3MnHiRMUO1GQk0BUJ7PlRoOvj40ODBg34P3tnHh/T/f3/50x2EpFIJPZ9J/bSatFvV/tW+66K6kJpLa22nxalqFJaraIoqlTpokoX1L4vsYeQhEgiEtlEksnM7w+/9837TiarrLyfj4cHJnfuvZN75r2cc17n/Pfff+l+dvr0aaKjo3F3d1fjZhFCHi+WL1/O3Llz+eOPP6hevXq6Y3Mi0AU4fPgwkyZNSpd0UaNGDeC+vQDEx8cTGxvLlStXOHr0KGFhYRw+fJiUlBQiIyOBNEe1XKRG7nom/i0nfYgkNTFW37p1C0A3x4v3ZSbQVY7wooEYNypWrKiJCcWzvXv3Ls7Ozrz11lvExsayfv16Dhw4oL1XHjtlEcLNmzcJDQ1l7NixVKpUie7du/P0009TpUqVPB+nMhLoymO6Eug+HFSqVEmXACaebVET6ML9Ql7PP/88a9asSSfSWbVqFU2aNKFDhw5qHHwEyUygK8/5QqA7ffp03N3d0wlzxfxtLcz18/PLl/EtI4EupK0lnnzySSXMLSBkMexHH33Ejh07uHPnDqBPuBDYSkCQxVxms5k///yT2NhY5s2bh6enZ6Z72MwEunJ30jt37jBkyBA+//xzmjRpkqe/A8XDx4MKdIUf9fXXX+fvv//OUJj75JNPsmDBAlxdXdOdV0be+zg4OGAwGGjRogWANo5HRUVx7tw5QkJC+Oeff4iOjub8+fNad15IS1i37pirhLmFR0FW65ft65dffuG9994DwMnJSTt/dslMoGsrAU4JdIs/JUuWpGrVqly4cEEruibs9Nq1a0DW9pmZQFf288B9ge7GjRtJTk7m119/5erVq9kS5j6o39v6veIzOTk58fjjjwP3x107OzuCg4OJiIjQxmO1ry84ZMGZ3M1ZFo1bF3OzLgqzY8cO9uzZw48//sibb75JzZo1KV++/AONTbIwrGXLlvzzzz86P+rp06e5ffs2bm5uNu0lM4EuoAS6CoUix8TFxTF8+HBNmCvmzsuXL5OSkoKdnV2eCHTFsdkR6Fqf31acW+x9SpUqhcFg0NabZrOZu3fvcv36dc6ePUtERAT79u0jJiZGKzRvnWQvYkwi/0UUpVNd74s+4rmULVsWQPcs4b54Oz4+vjBvMR0Gg4Hy5ctTqVIlwsPDtdft7e3V/kehUCgUDy2ZdSWV9+GQt+LHwhboinXrxYsXWbNmDdHR0do1Zb9Vnz59NP+/omDJTJdh/Zzy0jYFtgS6JpOpQAS6FouFY8eO8e+//2qF7OTvo6enp5b/rHKIFQqFQqEoHhgscia9wibZEeZ6eXmxcOFCncM7M8TCf8eOHYwbNy5dpXyA0qVLs2LFijxJVBTV/8XmQq42uXz5ctq0afPA11AUPGazmW7duhEQEICDg4MuiSs1NZVq1aoVmkBXFuYOHTqUI0eOAFC2bFm6dOnCqFGjcHd3t7lREhvrkJCQdAJd8flEEKlq1ar069ePoUOHaq+rwMyjwZUrVxgxYoTWXcxkMuHu7s68efN46qmnspVAZjKZOHfuHPPnz+fgwYOaCEIkG8P9ZPiePXsyadKkLCtR7dq1i9dff123YbZV8VcEF+UE+b59+zJt2jTtvlTCZf4jz+99+/bFx8dHE+tkRHBwMAsXLmTr1q1AWuBYdo54eXnx7rvvFqpAV9jQrFmzWLVqlS4xDsDb25tff/1V11laUbjIY8SqVauYNWsWLi4ubN68mapVq2b5PuG0W7ZsGbt27QLSOnPLx7Rs2dJm0oU4xtYYFxkZSXJyMkeOHOHmzZucPXuWCxcuEBsbS0xMjO5YOYlTjHHW9wn6hBHxcxn5O2U0GunYsSMjR46kbt26Of/lKvKVv//+mzfeeCPd3DZ69Gjeeust4L5NHzt2TBOOgb5zvPyaLA6qU6cOtWrV4tVXX8XDw0PXpSwvEsUTEhL47bff0nXQtQ5ATZ8+XavOr9aaxQNhHxcuXKBv376a8Br0nRe6detWJAS6wq5u3brFa6+9xunTp3UJwyaTiTZt2vD+++9nOicoige5HUdiY2PZvn17OoGunLgoCv40a9aMjz76CMi8Y25+CXNlLl++zGeffcbOnTu1Ijgmk0klWBYgYn1nMpkYP348f//9t/Yz2dciEijF8QaDQZckKyfziueVmprK448/zvLly7NVudlsNnPo0CG+/fZb9u/fr13XWohRrlw5Fi5cqBWQUSgyQy4Y9Pbbb+sEupC297BYLJQpU4YOHTowceJEXFxc0glz5fEoNTWVdu3a8c033wAPtv7MbJw7evQoUVFR7Nmzh2vXrhEcHEx4eDh169blxx9/VMLcQqagOkmA3sbkIhuCSZMmMWLEiByfV76nLVu2aAJdwKbPvXz58kqgWwwRz/nzzz/nm2++0fllLBYLtWrV4qeffsq2r1IedzIS6IqxVawxC0KYm13kBE+5Q6tacxYssbGxjBw5ktOnT2v2I8fBZeQ4uVz0WqwV3d3dqVWrFgMHDuSZZ57B0dEReDCbSk5Opl+/fpw7d05XmKNTp0589tlnmb5XXDcpKYl3331XJ9CVi23B/SLaY8aM0QS6amxVKBTWvPTSS5w5c0YXQ6lQoQI///xztjt4ZidWJB+bUawot2QWY0pMTMTBwYHTp09z8+ZNTp48ib+/P1FRUQQHB+vWDeIzdOvWjU8//RRQc3hx4OLFi/Ts2VPnPxLPVeyXikphcrEWmThxIn/88Ye2ZhR7vFWrVukKzCkUCoVCUdwp6I65md1DYmIiy5cv1wS6YNs/+fjjjz+wQFe879atW7z66qucOXNGWxfLe/YJEyYwatSoPPmcipxR2MJcmTVr1jBjxgwAmz5Oo9HIoEGD8kSgK+7/ypUrTJgwgYsXL9rUdXz++ed06NDhgT+bQqFQKBSKgkN5MLMgu8Lc7777LtvCXEirzNu2bVv69euXLghnNBqJjo7mt99+A9ILFrKLWKgNGDAAb29v7TyiIxTAn3/+yd27d3N9DUXhYTQaNZGKSGSUq4pevXqVGTNmcPjw4XRdUPITWZg7ZMgQjhw5gr29PUajkYiICLZu3crSpUu1alTWWHfQrV+/vi5gLzYigNZBd9WqVdrrypYfDUSyokjosLe3p0ePHjRr1gwgW8kN9vb2NGrUiClTpvDEE09oASM52Vh00J0zZ44uGURGfO/at2/Pt99+S5UqVXByctI5A0S1VZFwLCdmvPXWW5owVx6fFfmHPL8PHDiQO3fuEB8fT0RERKZjiOig26lTJ0CfqGbdQfeff/4hKSmpQD6PNcIxKa9NRGDcaDRy7949EhISCuXeFOmRE7JWr17NrFmzgPsJC6dOndKOsYV1VfSRI0fSvn17IK27mTi3XBU9PDxcNxbJIjBAl6jh5eVF+fLl6datG2PGjGHhwoVs2bKFjRs3MnPmTN58800aN26s63AqnKXi/uzs7DSRh3XhAuuENLlTlLOzM2azmd9//z2dkFNRNGjQoAEtWrTQnpsYE7/55hu2bNkCwNChQ5k5cyaLFi2iadOmWnc92cEsd0gR57h06RK///47w4cPZ9y4cWzfvp2IiAgge/N8VogOupMnT8bFxcXmmA7w/vvvs3HjRiCtuquiaCPso1y5cjg7O+uq9cvP9pdffuHjjz8u9DlRjJ3u7u60adNGGzMhbU9/4sQJDh06BKBssBggz3PW2NoDZ2cPKzrovvrqq5QvX143z8v//u233zRhrvBfGQyGQhHmQloH3WeeeQaz2YzJZKJbt25KmFtAyMLckSNH8vfff2u2Yt2pTKzfAEqUKKEJHuQ9tyxuEWu8AwcOMG7cOMB28Q0Z0UH3lVde4YknntDdo/i3vb09N2/eZNy4cZw+fTp/fjGKhwpZ4D1v3jw6deqkG1fFfsNgMHD79m3+/PNPFi5cyKhRo9J1zM1ImCvOn1usxznxHQJo0aIFzz//PB9//DHff/89a9euZdWqVUqYWwQoCsJce3t77fnPmTOHJUuW5Pjc8h6me/fuDB06VCsIa8vnLjronjp1Srd/VxRthO099dRTOhGtmK8TEhJ0HUuzQk5+W716NY899piWiCb7osRaVPxdFIS5kPb7kMduteYseEqUKMFTTz1FtWrVMJlMunFS2KfFYsHZ2RlnZ2ftfeI4kZRrZ2dHTEwMR48e5a233mLq1KmsX78eSPNl5nSsSk1NxdHRkeHDh1OqVCnNfg0GAydOnODw4cOZnte6g26HDh10n03cN9zfzy9dupT9+/eTnJyshLkKhUJDjD1CgCvHkZOTk4mNjc32ubITK5KPzShWlFusY0wyzs7O2Nvb07RpUzp16sR7773H+vXr2bRpE8uXL+eTTz6hS5cuPPHEE5QqVYquXbsqYW4xwmKxULJkSVxcXHRzuLCp48ePA0Wn25e4P1EEU3x3xP0+6HdBoVAoFIqiRFEQ5kL6Dro9e/akfPny2rWs/ZOig25MTEyu1qoitz8pKYlx48Zpwly5oAxA+/btefrpp/PscyqyT1ES5sL9DrpyUx2xdpXz4NesWcMPP/zA1atXc30dsTeLj4/nvffe4+LFi9q1ZNvs37+/tp9T/nmFQqFQKIoPyouZCTkR5taqVStXCbLOzs60aNFCJwiDtAWV6EaW20CdWLjVrFlTE+cKYYRYyO3evZtbt26pRItihrC3uXPnMnDgQC1ZUogbrAW6hw4dylHyRW6xFuYePXpU+z/ct8mwsDBWrFjBgQMHMjxPTgW6Gzdu1JKTVGD74UN2sghbEoI1BwcHLVG4Xbt2Oe58ZjAYqFOnDpMmTcq1QFe2y8cff5yFCxcybNgwqlatqgVWRfKJ2WzG2dkZd3d3LZFEdL0oKhVjH3bEWBkcHMyAAQOIjIzUxqbw8PAsxxBbAl25y1RREOhai+Ssv0NxcXHExsYqcU8RQe6Y+8knnwBoHe+jo6N1x2T0/uwkXYhjspN0kZlwSATaK1euTK9evRg7dixr1qzht99+Y8WKFcyePZvhw4fTpEkTatSood2HcKLaKlpg6zoODg7cu3cPQFsLKIoe5cqV4/HHH9fGQLnb3u+//05wcDAAbm5uPPfcc3z++ed8/vnnPP7447i5uQF6IbmYM+VEpIiICI4cOcK4ceOYMGECn332GVFRUdy9exdIWxvkZi9jS6BrPaaDEugWR4Q9pqSk6AoZib1wURPoAjg6OtKvXz98fHx0QR87Ozvu3r3LwoULuXLlirLBIo68bzUYDAQEBLBz504WLVrEvHnz+PTTT9mwYQN//fUXCQkJ3Lt3L9t72MwEuuK64o/oUAv359zCEOYKatasyYQJE2jatCnPPfecSrAsIMScnJKSwrBhwzh48KA2x0HafGaxWKhatSrPP/88y5cvZ8uWLezYsYNff/2V6dOnM2DAABwdHXXiXUDne/rrr7+055rVM81IoCsX61ACXUVOyYlANzIyknXr1vHff//pxLiySFcW5spzcl4hF1GS7xHud8hq1aqVEuYWMtYxIeFXL2hhrslkIjU1FRcXF+D+3jgyMjLH11AC3UcHV1dXLR4jF0gLDQ3lxIkTOTpXVgJdsY6wFgKL9wwfPrxQhLmKooGI2bz66qv07NmTypUra6/L+yUADw8POnfuTKdOnbROdbIfUbxHzIlbt27lf//7HyNGjODff//VfPqZFUmyRthjo0aN8Pb2BtK69YSGhrJ3717dPWZ0jowEuuKziuJbx44dY9asWQQGBmb/l6hQKB56xFzduHFjAN3+5NatW1y5ciXH58uNQDciIiJPBLqZ3Zf8t7iOm5sbbdq0oWvXrsyZM4cVK1awbt06VdCtmGEwGKhYsSJt27bVXpP34Hv37tW6OBcFxDpBxO/FOsPOzg6j0YiHh0dh3p5CoVAoFHlGVuJHOY44adKkfBc/FpRAV/jULRYLI0eO5Pjx49r/5YLeFSpUoHPnztSqVSvPP6sic4qaMFcwaNAg3nvvPSDNjgwGQ54JdGXdyZgxYzh58qTONoX/vlGjRjz//PNaTEDlwisUCoVCUXxQmR0ZkBthbm4Xfp06dWL58uWcO3cO0IsOg4ODSUpKwt7ePteBa4vFgre3N6+//jpvvvmmluwO94PrERERLFq0iFmzZmlCEEXRx2g0agkN77//PgBr167VbFEWwwqB7rRp03jsscfy7TlnJswVQWixwe3cuTMdO3bM9Hyi44oQ6I4bN45z586lEyADXLlyhQsXLqgkj4cQ+ZneuHGDChUqABASEqL9HOD//u//ePzxx3N1DVmgO2fOHPbv3699l8T3SQh04b5TSjh+5OpVgrp161K9enWGDRvGrl27CA4OJiYmBrPZjKurK48//jhly5alZs2a2ntke1bkL3LHXDG/i7EpJCSERo0apevkaY0Q6ML9ZCAx/omkSVmgC/DMM8/g5OSU/x/OCldXV0CfPGo0GnFxccHNzU0FtYsIFouFc+fOaR1zZZu8fv26dkxOBLqCXbt2aWOVSJaUky7mzZuHj49PtubPjCqfi7WrnZ0dLVq0oEWLFgAkJyeTnJyMv78/d+7cYc+ePVy/fp3AwEAiIyN19yN3djabzTg6OmqB8UWLFvHcc89l6/egKFjE8xgyZAi7d+/WdXq2WCwcO3aMS5cuUblyZW2c9PX1xdfXl8cee4ydO3eyd+9eNmzYAKStJYWwQk4mFuPYsWPHOHr0KLt27aJGjRq8/PLLVK1aFTc3t1zbhhDoAnz66ackJiamG9NNJpO25u7du7caP4sBRqMRNzc33N3duXfvXrrkXDHupaam8ssvvwDwwQcf5LjQS15iNpvx8fHhww8/ZMKECSQkJGjjor29PVFRUUycOJFly5bh5eWlEtSKGPJcBvDDDz9w4sQJtm3bRmpqqk1BdZ06dShXrhxjxoyhUqVKlClTBsg8uCgEugBLliwhNDRUN8+L+xBjaGF1zLWmRo0aLFiwAB8fH0AlWOY3sjB3yJAhnDhxQlc4TRbmPvXUU4wcOZJGjRpRokQJzYY8PDzo3bs3AN26deOTTz7h0qVL3L17N11xQYA9e/bQtm3bbO3LhUBXsH//ft2a1Vqgu3DhQvz8/PLyV6R4CJH9NPPmzQPu79dlexX/TklJ0SWGZybMLShxrK0uj0qYWzjYEubKexLIf2Gu3MHC3t6exMRESpYsyXfffYeXl1euriXGfqPRSPfu3YH7RcLOnz+fruinLND9/PPPady4sdqPFxPq1KmDn58fhw8f1q0JAW7dupXj84n9sL29PatXr2bIkCEcPnxYG5/kpEZI89UPGjSIyZMna68pv/ejh7yXHT58OAAbN24kODhYN+YAhIaGcurUKdq2bcsrr7zCv//+y4YNG4iIiND5iuSCLgaDgf3793Pp0iXKlSvHuHHjaNSoEe7u7prtZ2dsrlq1KqNGjWLy5Mk6H//KlStp06aNbs1qC2uBLsC2bdu0dbc8btauXZu6devm6vepUCgeTsQ4JfxBouCzGFtEccqckN1YkTj2yJEjTJw4kc8++4yyZcsWyLxt6/zinkXBVzlnSlG0Ec+uUqVKQJroXKwT7969y6lTp2jfvn2R2FOI64sYpFiPpKam4uzsTIkSJQrt3hQKhUKhyCsyyn2XG/sIH87bb7+tNRXJ79idtUAX4OeffyY0NNSmf1IIdBcsWIC7u3uWa1VZmDtkyBCOHDmixcbk3CSj0chLL71E586dAZWHVJBk1c1ZiGGhYETj1gwePBiAmTNn2swFNZlMrFmzBrjf3bZatWrZOq9sm8OHD9fl1cv2V6pUKbp3757rHGiFQqFQKBSFi/Jm2qAghblik1OqVCntNRE0hPudc5ycnB7IAS4WbrVr16Zhw4YAum5QAJcuXdKEbqoDT/FBrgr1/vvvM3DgQK2KjtisClGsEOgePnw4XzroZibMFUEkIdLt0aMHc+fOBfTdHG0hNuW2OuiKP6mpqTRo0IC5c+fqBMCK4o/sVJk4cSI9evTA398fuN95XO64KKqb5/b5C4HuO++8o3UAzGkHXRl7e3tKly5N9+7defPNN3n//ff58MMPmThxIk888YROmCuur8h/zGYzycnJjBs3jsjISK0Tjejqefz4cSB7z6Mod9AVdhkUFKR7Xdi1i4tLoYqPFHoMBgNVqlShfPnymohCPMPz58+TnJycLZvMTlV0+ZjsdNDN7v2LsVqMwUJgKwoSdOjQgU8++YTVq1ezadMmVq1axYcffsgLL7xAq1atKFmyJE5OTlryifi+LF68WAlzizDieTg6OtKgQQMgbZ8hEsjnzp3L7du3dcICIb79v//7Pz744AOWLFnC8OHDcXd316phykUr5G66wo4DAgL4888/GTJkCFOnTmXdunUkJydrjvqc7mlsddAVzvHU1FQcHR2B+2vuw4cPP/DvTpH/CFFiZqIWsZ6DotFBV6w5GzVqRMeOHTUbhLR18eXLl/niiy+Ii4vTJTMrChexb0hISGD//v289tprfPTRR/z666+kpKRo3ZKMRqPOLi9evMiuXbsYNWoUs2fPZvfu3QBZPtuMOuhaY7FYSElJwcnJibVr1+Ln55fhsQWBEOaqBMv8RYwXJpMpnTBX7j5msVjo2LEjn376Ka1atdIJc0G/rvPz82Pu3Lm88MILuLm5petICnD58mXNhrNDZh10xb9VB11FTslOB135jyxaS01NpW3btoUizFUUHYqCMFd0vLdYLLoiG9999502l+eW3HTQnTBhAkePHlX78WKCKLABaXO0sNGjR48CaLacXbLqoCt3wzMYDJQqVYqaNWuSmJiou77i0cNaoNu7d+90HXSFfQQEBLBt2zb+/vtvRo0axZIlS5g4cSKurq66IkTW54+MjMTf35/Ro0fz0UcfsXHjRu1n4jpZ0bp1ay3pUfgJzGYze/fu1XUuyYiMOuiK85hMJrp168YXX3wB5D6GpVAoHl4qVqwIkG5uPX/+PJBzX3duOuhOnDgx3zvoZob1ekGtPYsP4ln17dtX81MKhO99yZIlHDlypEg8VzEPi/Wt8NlaLBZKliypK26nUCgUCkVxJCthruzH8fHxoUqVKjphZH6TXx10sxLmysLfAQMG8Oqrr2rXKQprlEeBzGzT2lcyaNAgTTQu/JAFxeDBg5k2bZp2bWFX1h10161bl60OujmxzT59+jBw4EBA+Y8UCoVCoSiOqIioFQUpzIX04lzhKBfkZYfTihUrak53uXsu3Bfnim5BKlBevMhKoAtpHTnzS6CblTBXTvzs0aOH1hkwu5VXRZdga4Gu+E42atSIdevWaSI7tWF+OJDt44MPPmDr1q3ExsYyadIkLl++rEtYt7Ozo379+g98TYPBQN26dZk0adIDC3Stx1K1YS4aGI1GHB0dtWrRwsEjxo3o6Ogcnc9aoGvdcaewBLriHkQCu7BR8bpI0lPBxaKFs7OzlkguuHv3bo6KtGRXoCuOzSuBrnx9sL2eFOcuW7YsrVq1om/fvixcuJCVK1eyfv16Vq5cyYQJE+jRowcNGzZk0aJFPPvss4ByiBd1HB0dGTZsGKVLl9bWYmJ9GBERwe+//64Jr4F0Yu6nnnqKiRMn8tNPPzF48GCtg7lYP9rb2+tEE3Df1oQA+O+//+bjjz/mlVdeYc6cOURERORqrZuRQNdoNGoBqY4dO/LYY4898O9Mkf+kpqYSHx9PfHy8LindlihHCG+KgkAXwNPTkxdeeEFLQhbfGZHUu3v3bn788UcSExPV2FgEEHvv27dvs2TJEmbOnMk///yjCXnEGCK655pMJm2sFGNZbGwsf/zxB2+//TZr164Fsg6AZyTQtfYrATRp0kQrolAUfD7KbvMPuWPu4MGDMxXmdu/enfnz5+Pp6am9X3428rrOYrFQqVIl3njjDdq0aaPNj4BunFq1ahXHjh3L9v0Kge6oUaNo06aN9hnENZVAV5EbZIHuZ599RufOnXXjolzwT5Camsrjjz/O0qVLASXMfVQJCgpi4MCB6ar1Q1ridl5V689MmCv2PLIwd/Xq1fj5+emKy+SW7Ap0hbDsxo0b/PXXXw90TUXBIMa61q1ba8VhIG0fHRgYCOSuK3dWAl35+rGxsXz33XesW7eOuLg4m+tTxaODtUC3T58+OoGuOAbud9Bdv349X331FRUqVGD48OH8+OOPjBw5UosLyh10xFgqxs5t27bx/vvv8+abb7Jt2zbi4+N143RGdujj45OuQ67JZGLz5s3cvHkzW4WxrAW6HTt21D5j165d+fTTT7X/q/2QQqGwpnr16ri7u2vjnJi7r127BuTOl5NbgW5exYoUjxYWi4USJUpQvXp1gHSxcoClS5dy48aNQrtHgcViIT4+nlOnTmn/FzRp0oQKFSoUCf+pQqFQKBS5IauupJA291ksFsLDw1myZAlbtmzRmgYUhA8nrwW6mYkfrTvy9uzZUxNeqj16wZGdjrmQZp/r16/nxIkTQOHEtgcNGpROoCuaSAnbWrt2bZYC3ezYptgH9unTh4kTJwIqR06hUCgUiuKK8ihJFLQwF9A6MMXExABpi0vhrBQBygfd9IgABOPDCAABAABJREFUZ79+/WjcuLHuZ8IZ+ttvv6kkt2JKdjro5pdANzNhrvUGIjfCXOvPKAS6DRs2JCUlBT8/P9asWaMJc1Xi3MODsI8pU6awYcMGDAYDjo6OXL16lfHjxxMWFqbryCye/YNuTPNSoGt9XkXhI+ZTX19f7TX52Zw8eZKIiIgczbsZCXQLs4OuxWIhNDSUkydP6pKOxXqgZcuWeHp6quBiEcFsNuPq6qp11Jafy5UrV7h27VqOhNS5SbrIS4FuRohxXbZH8V2rVasWTZo0YdSoUcyaNYtly5apjrnFCLPZTMWKFenevTt2dnbauJOamkpiYiL//POP9hythRHyOSpVqsQ777zDt99+y6uvvqrtW2SHvGy/Qtwm1gCHDh1i9erV9OnTh+nTp7Nr165095kVtgS6Yj3btWtX5s+fn+1zKQoXOzs7kpKSuHfvnk6IC/fFr7KwTN6bFBWB7pNPPsmoUaOA9NVgw8PD+eWXX9izZ0+eFl1S5Byx5w0LC+O9995j/fr1XLlyRRuvRGECW11GxetibjabzcTFxTF9+nS+/PJL3TUyIjOBrvzn0KFDvPnmm8TExKg59SFGFuZad8yVO4CJ5IPZs2cD2ZvTxBxevnx5xo8fr9mbdbKlvb09ly5dyvZ54f7a97HHHmPkyJG6DrrWeyol0FXkBHlfM2/evHQCXYEYEx0dHalVqxb37t3T3q94tLh58yZ9+/YlMjISJyendMXcAIYPH65V63+QTvRZCXOtO+bKwty88uNkJdAVc0ZqairdunVj6tSpeXJdRf4i7KpatWqkpqbqEi/t7e2Jjo7WYpG5ITOBrvUaNCgoiB9//JFNmzYpga5CJ9AdNmxYpgLdiIgIfvrpJ5YvX86dO3eoUaMGr776KqtXr2bYsGHaWCUXPLIuSLhjxw4+/vhjRo4cyZEjR7h16xZgO0Yj7HLUqFE0b95cF2+KjIxkyZIlWoJyVsgC3ZkzZ/L444/TrVs35syZo31W5Y9XKBS2EEVRxDpR/BHjV27n0KIaK1I8fBgMBkqXLs2gQYMAfbMIYUdnzpzhn3/+0fbdhYWwe+scPUBXwE6hUCgUiuJGVh1zrRE+8HPnzrFu3Tp+//33YinQzaorqVhni3yPTz75RLuG2qMXDJnpMqzj5gaDQfvZ4MGDOXbsmM6XXZBYC3St45ZZCXSzEuaK84mCyh9//DGgROMKhUKhUBRn1Ory/1MYwlyxsAoPDyc0NFQ7n+g0BdCsWTPttQdBnLtEiRLUqVMH0FcrBLh16xbnz58HVLJ5caQwBLpZCXPlxM8HEebKn1EIN+bNm0eXLl34/vvvlTD3IWb//v1s2bIFuJ8omZKSgr29PZcvX2bfvn1aJxSLxUJwcDBAngQK80ugqyh8xHzatm1bXFxctPFRzHsJCQnpOpdmB2uBrjwmFYZA12AwcObMGQICAnQOLDH21qhRA1AdnYsKYlyRHc3CwZycnJyuy0N2KA5JF3LSnEDYpLu7u+7+FEUbkYjbunVrUlNT04nDDh8+zPLly4GMn6ewSUdHR0qXLs24ceOYM2cOc+fOpVq1apQqVUqbi4WdiHPJ3Xrs7e0JCwvjp59+YsyYMUyYMIFly5alc+xnhhDoTp06FRcXF1JSUujevbtKpiyGyGIxuL+fEMnAbdu21QU2ilIHXbEuGTFiBL169QLQ1ifC9gICAli1ahUnTpxQa9BCQowF169fZ+zYsezatYv4+Hht7BP2JcYm+d+ikIH1WlTY4KJFi1iyZAlAlgHHjAS6kBawNhgM7Nixg/fff5/Y2Nh8/s0oCoPsCHOF4KtXr15a8kFOxGViDq5atSr/+9//NIGObPMpKSn88ssvJCcn52iuFB10X3nlFSXQfUgpjLkqOwJd8f/k5GT++OMP5s6dy+3bt5WI7BHk0KFDODo6agVe5LlU2MKePXu4ePEikPt9alEQ5goyEuiK+JStbo+K4kHVqlUpW7astua0WCyYTCaCgoI0G84tWXXQlUVFwcHBrFu3Tgl0FUDOBLphYWFs2bKFVatWERMTg7OzM66urkyZMoVZs2YxdepUPDw8cHR01CUzQlrsOyYmhpMnTzJ27Fg+/PBDtm3bprsfsUaQ927PPvusFjMQPz979izh4eG6+8wMWaC7ZMkS3RiqfEkKhSIjfHx8qFGjhjaHijXoxYsXuXnz5gPNn8UhVqR4eGjRogVdunQB9Hsfo9FIdHQ069aty3FRt7xEfJe2bNlCaGioLmfJw8ND88WrNatCoVAoihuZ5b7LuWKiKIxc6AruC3TXrFlT7AS6SUlJ2eqYK/ycKt+j4MmqY66cVySel8lk0o4ZOnRokRLoWueCZiTQTU5OzpYwV9imXFBZ2aZCoVAoFMUXNYtTOMJcQNfBJCQkRFs8ioWmr6+v1kEtL7BYLDg6OjJ69Gi8vLx01QpFAt/ixYt1QmFF8SI7Al2xuH9QgW5BC3MFIihetWpV5s6dq4S5DzkNGjRg8uTJODg4kJSUpNm47AQSf588eRLIu+4mSqD7cFOmTBlt/JCFEnfu3OHs2bNAzgNvtgS6hdVB9+rVqyxcuBBANz6aTCaqVaumBUaV6LFoIGzNw8MDSFsjivFMFB/IqaMxu0kX4piikHQhbFLZZvGkffv2vPTSSwBaYrlwph85coTIyMhsnUfYeuXKlenSpQvLli1jxowZtGnTBicnJ+04eZwW7xHrBDH2/fHHH8ybN4++ffuycOFCLly4kK5jry1KlixJp06dGDduHL169VLO8GKGsI3AwEDi4uJ0gm6TyUTLli356quvaNeunS6wJ+ZrKFyBrmxjPXv2pEmTJoC+eAPAsWPH+Oqrrzhz5oxKGCpgxFgQEhLC8OHDOXfunK7ohJxIKY8zYs4VY6RITpdFE8IGFy5cyNq1awG0/XxGZNZBV9yrEOhOmzZNCXQfMrIS5soVwnv16sXMmTN178sJwqbq1q1Lw4YNAXRrSpFsKXfqyy5KoPtwIsbAwupEm5VAV+5KFRkZybZt21iyZIkS6D6CdO/enTfeeIPq1asD+nW/8AVevnyZcePGceHChVwlA2UkzJW7BBSUMFeQWQfdzp07q4S1Yoqvr6/WPVdgZ2eHg4MDd+7ceeDzK4GuIrfkRKB78+ZNtmzZwsqVK4mLi9POUadOHYYOHcry5ct5/fXXqVKlijaGygWSLBYL9vb2xMXF8e+///LWW28xdepUfvnlF0C/NhHvefHFF/Hw8NCtk8+dO8ePP/6ou7esEOtXBwcHAN0+XqFQKGxhb2+Pm5ub5ksSY5jZbM5x8StbKIGuQkbMudlZk+V0z+Pq6qqL41g3Ebh27Roff/wxcXFxGI3GXPmPHgSxHxMFa8Q+R4iCvLy8dMcpFAqFQlEcyKorqch/h/tF8sWeV44hQppA97fffisWAt3bt2/j5OREcnJytjrmKj9nwSN+18HBwRnapnhecl47UKQFusK25Px5a4Guo6Mjqamp2RLmKttUKBQKheLh4ZGfyQtLmCsIDAxk9erVgF48YzabadKkSZ6Kc8WGytvbmxdffFHrcAVpScixsbHs2LEjXQKpoviQlUAXeGCBbmEJc+XPKKOEuQ8v7u7uvPTSS0yYMEEbk8UGVRZZGI1GTp48yd9//52n11cC3YcTs9mMp6cnjRo1AtICg+K5BQQEALkLvBWFDrrx8fFs375dq+gvC+Ts7e15/vnncXV1VfN8EULYWv369XF0dNQJdAD8/f11x+X03FklXchCIpV0ocgtYl5u0aIFTk5OmthMrAn37t3L8ePHs3Uueb9lsVioUKECzz33HMuXL6dq1aq6Y2VBhRwgEonB4s/Zs2f59ttv6dOnD5988gm//vqr9n6wnWRSsmRJBgwYoImYlDO8+CCea1hYGJD2fMW4KvY+CxYsoH379ukEumK/UdgddAGaNGnCiy++qCUGAVqCnsFg4ODBg/z444/ExMQU2j0+asiBxEGDBhESEqJVvgX9nrxWrVp069aNFStWsGXLFn7//Xc2btzI6NGjefrppwG0AKS1fwZg1qxZ2h4nq3VAZh10lUD34SUzYa4IbMsdcx9EmCswGo14enrStGlTIK1wgPh3UFAQ165dy1XSRmYCXfFvJdAtPphMJvr370/Pnj3ZsmULgYGBup8X1F4jK4Gu7F+Kiorijz/+4Ouvv1YC3UcIsVbs3bs3gwcPplatWtrr1gUIrl27xvjx43Ms0M2sY65Yoxa0MFdgLdDt3bs3Y8aMYd68eYDaBxU3xHgnBI9y99yUlBQOHjwIPHg3MCXQVeSW3Ah0V6xYoQl0hd3Vr1+fkSNH8tNPPzFixAhtbSrvr6wLuG3evJn//e9/jBgxgiNHjnDr1i3tvsxmM+XKlWPChAk4Ojrq/Prbtm3jxIkTOfqc8v5NCXwUCkVmiLFPCBDkmE1SUhLnzp3THZdbimMxV0XeItZf4lmnpKRw9epV/P39+f333/njjz/Yv38/x44d0+ZI2S6ye/7u3bvTsWPHdDlKwqd95swZXnvtNW09UNC2tXPnTjZu3AikNQYAGDhwIBUqVCjQe1EoFAqF4kHJKPddxMJl/83HH3/MgQMHtCJXss9IFuiuXbu2WAh0J0+eTHR0NKNHj04nzFUdcwsf2Tb79++vs02xLhS22bt3by1uLu9NUlJSiqxAV+RqWAt0165dq62lhw0bpoS5CoVCoVA8YjzSirbMNidi8Zefwtx79+6xe/durl27BqQFzc1mMxUrVmTEiBG6+8wLjEYjjo6OPPnkk6xZs0Z37tTUVEwmE//++y/Dhg1TwcJijAiQ2NnZ8f777wOwdu1aXeVHkaQpBLrTpk3jscce0yo5Z4Zwkg8fPrzAhbmKRw83NzetC9+8efO0Ta0YM4VQNyYmhr1799KuXTscHBx0SW8PgizQnTNnDgcOHNC+S+L7JAS6AJMmTdJ9BxVFDzHv1axZkz179ug6+ZhMJl2X0tzMv0KgC7B161adzVoLdAGeeeYZXSfIB8Xf35/NmzcTHx+vORzFusbV1ZXnn39eOXSKKG5ubphMJs0mhaM7KipK+39usE66EOzatUsbq+RriqSLefPm4ePjo8YzRbYQ9tm5c2fWr1/PyZMntbFGjEHffPMNfn5++Pr6Zvu88nz+wQcfaMlI8nnlY+UiHtZd0ezs7EhOTtb2Qdu2baNVq1Z07tw5nfBRvMfR0VF7TY2dxQcxbl25cgXQ74/c3d2pWrUqKSkpuLi48Pnnn/PWW2+xa9cuXaBO2JfoqvPBBx9QsmTJAv0cwqYHDhzIlStX2Lhxo27/brFYqFy5MlWqVMnTtYQiY2z5keS9iVx9unfv3vTs2VNLEpepW7cuFouFtWvXsmLFCsLDw7Vgo9ls1v6dmprK5s2bqVevXraSw4RAF2DJkiWEhoZq87zsD9ixYwcAM2bMoFSpUnn161EUMNnpmJvXwlxI+x6I7pLCVuV9h0jayA1CoCvYv3+/ds/ynkoIdBcuXIifn1+uP48ifxB2eerUKQCmT5+Oi4sLI0eOpF69erRq1Uqzw7zy32SGvBYQgsPff/893XVlgS7AmDFjKFOmTIHco6LwEPOj0WikT58+AHz//fcEBARor4v9hSzQXbBgAXXr1s3Sf5RZx1yRKFdYwlyB/Dvo37+/9rpKCip+iLG1Xbt2bNy4Md3eODIyEsgbsaCY9+3t7Vm9ejVDhgzh8OHDuvWIsB8h0AXo1auX1h1Qja2PJtYCXYANGzYQHBycLvYiBLoAI0aMwM3NTTsmNTUVNzc3Jk6cSGRkJJs3b2bz5s3cvHmT5ORkbT0sF1VNTk5m//79BAQEULNmTUaOHEmrVq00IW6tWrWoU6eOViwRIDw8nNOnT9O0aVM1LioUijxHjCn16tXTYjlyQeGQkBDdcQ+CihU9uoj5KyEhgZs3b/Lrr79y9uxZTp48idlsJjExEUibo6tVq0aVKlXo2bMn9erVo1KlSllew2AwaDbyzjvvcP36dY4cOaL9TNiWvb09hw8f5vXXX2fx4sUFmlcRGhrKb7/9psWLxPehcuXKNG7cON+vr1AoFApFXpJZUyrQxyynTJmi+T3XrFnDoEGDCAoK0u2bxTpACHQBunTpgqOjY4H4cKwFugA///wzoaGhNn20e/fu5cUXXyQmJkaJH4sYmdmmWIcJ23z33XcZMmQI//33H8nJyezbt0+3NxEC3ZSUFIYOHcqqVato3rx5oTzPQYMGAffj63IuqPi3yWTS/J+nTp3C399fdXNWKBQKheIR45Gd0eUF4MCBA9NtTkwmE56enmzatCnPhbnC6ejv78/KlSuJj4/XHI3i7zp16mgOTnljkVe0b9+eXr166e5HVA8+fPgwy5Yty7NrKQqHrDroCpvKbQddcbyTk5PuXEqYq8gPhED37bff1nXQhTTRAsD69evZunUrkBZgzAuy20H3119/ZcaMGZqzR1E0EXYhOqGIKtRizDxy5Ah37959IMeiEOh27twZQNf1OT866Ip7Dw0NZe7cuQQFBWnXMxqN2vpm4sSJNGjQ4IGupcg/ypcvT9myZbUKewJ/f38SExMfqHp0dquii2NF0kVERISqiq7INmJ8GzJkCK6urukSicLCwggKCtKOzQp5D/buu++yYcMG4H7yhuyw79y5s2bPsiBJYN1NV7Bz507mzp1L7969+fbbbzl8+DCQ1o1XRiUMFy/EHCg62wh7M5lMVKhQgbJly+Lg4EBqaqom0LXVQVfYUWF10BVJSw4ODkybNo2WLVtqnX8sFgtVqlRhwIABDBgwABcXlwK9t0eRnAS5x4wZw9SpU3WdRQVyAYBBgwbx4Ycf0qxZMy04Z909/NChQznqkpJZB13xb9VBt/hTWMJcGTc3N0A/b4q/H/QaqoNu8cbaLu3s7Lh37x6RkZHMnj2bN998k7fffpv//vuPqKgo3TorPyueZ9VBF9Ls+fbt26qD7iOGXHG/T58+6TroWndnyG4H3aw65hoMhnwX5soFjTJDxAysX1MUTzw9PQG0/YOww4CAAKKiovJsvM2sg66wKdVBV2GLB+mgK2xL7P3t7Ozw8fFhzJgxfPbZZ0yZMgUvLy8tXinvwcQ4fuvWLQ4cOMDLL7/MRx99pBXmqlOnDl26dAHQJVd++eWXXL16VY2LCoUi3xCFK6y7m16/fh3Iu71SbmNFqoNu8cZoNHLlyhWmTp3KG2+8wdKlS9m/fz8JCQmkpKRgNBqxs7PTnn9QUBC7du1i2rRpvPzyy/z999/cvXtXO19Gazjht3F3d6dv375UqVJFs2the2Kv8++//zJhwgQtryK7+5YH4eDBg+zdu1e7J7FWePLJJ2nRokW+X1+hUCgUirwis5ildVfSKVOmaIWxkpOT8fb25ocffkjXQVf2RxaHDroGg4HY2Fjt3pX4sWiQlW1ai8aHDBkCQNu2bRkyZAht2rQB9DHtotxBV6x/rTvo+vv763LpVTdnhUKhUCgeDR7ZWd1oNBIaGkqfPn2IjIzE0dFRWwAKvLy8tM44ebW5EIvGkJAQpk2bRnh4uC4BU3S1e+ONN/Dw8NDeZytBHNKc8LlZaDZt2lRLkBLnF58zuwJNRdEmPwW67733Hi1atCApKUmraKSEuYr8JCOBrhBVCvHEtGnT+O+//4CCFeja29sTFRXFzz//zOXLl/Pkmor8QcynzZo1w93dXUtah/sJZUlJSdrY9iBUrlyZN998k06dOgFpjpi8FuiK70JiYiITJ07k3Llzumq/Yh7o0KGDFmBXFE3Kli2Lh4eHtiYV67v4+HiSk5MfeD7NTdLFxIkTlUBXkW2EjdavX59SpUppgR+4v/+6ffs2S5cu1R2bEdbCXNGhXnZuw32H/bx58/j666+ZPn26Vr1VfI/EOlUgr4Xhvq3fvHmTxYsXM3ToUF5//XUuXbqUV78SRSESExPDnTt3tGct7EAkBMldGIuyQFd0A3JycuKbb76hXr16mEwmqlWrRv/+/bWuU4r8JScVfidMmMD48eMpUaKE9n7rOVacE+53NRs1ahS1a9fW+X7EXj0+Pp7FixdrSejZISOBrlgbKoFu8SYrYa4Y2/JLmCvsUHREFdcSAXL5mAe9ji2BrvBnKYFu0SQlJYVhw4als0vZ/mJjY/n999+ZOnUqw4YNY9u2bVy4cAFIs538SqrISqAri3eUQPfRI68FupkJc+WO4/ktzBW+qKVLl2a5llVFiR4e/Pz8qF+/vs5uAW7cuKHbJ+UFmQl0RYKkEugqbPEgAl3Zzykf37BhQwYMGMDGjRsZO3YsTZo00YlvZNG42O9v3LiR9957j3HjxnHixAk6deqUTqB79+5dfv/9d1JSUpTNKhSKfKFOnTq4u7trxVvFuHbmzJk8z91RAt1HiwsXLrB06VL69evHjh07uHr1qpbfYDAYtFiK6PolF2CLj48nODiY119/nUWLFnHmzBntZ5lhZ2dH+/bteeGFF3B3d0+37xZz8p9//sm4ceO0vVF++ALEOU+fPs3nn39ObGysroNZkyZNGDt2rHZvCoVCoVAUdbIqJpyRMNdsNmt5FJ6enjYFumKOhuIh0BV/y7nQSvxYeGRkm8KXkpFtiv1Ou3btbAp0xTFFVaAr9nDWa2klzFUoFAqF4tHjkZ7Zd+7cCdxfCIkNhMBoNHLp0iWGDx/OzZs388TJLDYyUVFRjB49mqCgIF0ihkgqmzlzJl5eXhw9epS1a9fy9ddfs2TJElasWMEPP/zAb7/9xvnz57l69SpxcXHa/crIgo6M6NmzJ40aNUqX2NapUydeffXVB/qsiqJDfgh0xaZi5cqVNGvWTNs0KWGuIr/JrIOuGENNJhOffPKJrvtdXpGRQFd2cs2dO5fatWvn2TUV+YPFYsHZ2VnrMic7727dusWxY8e0/z8IooNufgl0xflSU1N55ZVXtARoMbaL+69RowYdO3akXLlyD/R5FPmHWA+6uroCaR2d7e3tSUxMJDQ0FHhwm1QCXUVBULVqVV555RVA36XJzs6OM2fOsGPHDiBje85ImCs7tQHefvttzWEP0Lt3bz7++GPWrFlDhw4dqF69uiYIkYXC8vdAjMXiO+jo6Kjm8YeEo0ePcvny5XQFrZ5++mmdaDs7Al1xbGEJdMW6t0SJEnz11Ve0a9eOrl27KmFuAZGTjrmTJk1i1KhRQNZzttyd7qmnnuLll1/W1oiyOM3e3p7bt28THBycrfMKMhPois+kBLrFj8yEuXIiY352zBXcuHEjXddco9FI7dq1NVHFg5KTDroTJkzQ9nGKwsFsNjNixAiOHTums0V53SVsxmAwEB0dzaVLl5g8eTJjxozh888/59SpU1rXHkFeJ/yoDrqKzMgrgW5WHXOBAumYK3xEQ4YMYf78+cycOVPX8UrxcFO6dGldoqKwv7zyMcmoDrqPFvLzkmPRuXmOeSHQlY8R7ytXrhyjR49mxYoVjB49mkaNGgHohOPWRYy2b9/OxIkTmTp1KiaTCXd3d+1nJpOJXbt2aYmWymYVCkVe4+Hhoe335X1UcnIykDdFsGSUQPfR4J9//mHu3Ll8+eWXxMXFaTEWIN0zlHMq5H2NiKusXr2aefPmcfbs2SyvK+KdQ4cOpXXr1tq+xPoYo9HIX3/9xYgRI4iPj88XcYLRaCQwMJBx48Zx69YtXTzI29ubHj16aD52VaxIoVAoFEWdnHYllYW5Yp4VPhxbAl1Im6OhaAt05XtRHXMLn6wKXWcmGndwcNCepS2BrhCPF2WBrrhHgeyvUrapUCgUCsWjwyM9u/ft25cxY8bognzWiYr+/v6MGzeOsLCwB3Iyi0SImJgYBg8eTGBgoM7pJyhZsiQbNmygY8eODBkyhOnTp7NgwQIWLlzInDlz+Oijj3jnnXfo27cv3bt3Z/DgwbzxxhvMmTOHAwcOcO7cOSAtIQ7SFnryIlQ41AcMGECpUqW0n3ft2pXPPvss3fGK4o21QHfQoEE2q0YJge706dM5dOhQhgJdsVmyt7dn9erVmkC3V69eSpiryHdsCXRFUEjYeXBwMLNnz+bo0aN5fn1bAl0hqFy8eDHPPfccoCqrFnUMBgO+vr60bNlS+79c2CIiIkJ7/UHJL4GufJ5hw4Zx9OhRXQK0uHdHR0d69OihbLOII9agfn5+QJpNmkwm7t69q3XkzgubVAJdRUHQtGlTqlatqu1LxJgXExOTaQGNzIS5gE6YO3LkSO09YmxzcnLCz8+P6dOn89133zFo0CDq16+vvVcOJkFaYMdkMtGtWzfmz58PqLGyOCOeXWBgoCbCFXt8e3t7fHx80r0nK4Gu2CtB4Ql0xRxfrlw55s6dy5AhQ5QwtwDIaZB7xIgR2vuyM2fLgeNOnTpphQ3kuTY1NZXIyEitsEFO1gIZCXTFeZVAt3ghxqKUlBSGDh2aTpgLaQVfevToka/C3P3797Njxw5dwrC4x2rVquXp+JRVB12z2YyzszPXr1/n22+/VXN4IXL9+nVNwAr69ZRYy8n2IsbR5ORkwsLC+Oabb5gwYQJjx47l2LFjmnjMuiNeXiDva+bOnUunTp3SdfJRAt1HlwcV6KakpGQpzC3IjrlDhgzhyJEj2NnZ8fPPPzN9+nQl0H3IESKK1q1bA+iKWpjNZo4cOQLkvfggqw66SqBb/JE7zAus/YgCWdSTFbkR6H733XcZ2o6ccFyiRAneeustZs6cyUcffYSXlxeOjo66+KjcPTA0NJT//vuPbdu2ERMTo0umPHv2LF9++WW6z6pQKBQPSmpqKs7OzpQpUwZIixcZjUbCw8MJDAzMl+sqge7DzY8//siHH37IgQMHSEpK0vyYYh8jbEyIWWQhrvg5pBUPTE1N5d69e3h5eWV5beGPL1OmDFOmTKF58+Y2jxN+gQMHDjBs2DBOnDiR5353f39/Xn75ZW7evKl9DvHZmjdvznPPPYejo2OeXlOhUCgUivxAjlkOGjQo211JbfkcsxLoyu8pygJdUMLcooD4XQcHB2dZ6Doj25Ttqrh20JXX1XKelLJNhUKhUCgeHR7ZGV44EIcMGUKfPn2oUqWK9roIDotF0OnTp3nzzTdzLdCVhbkDBgzgypUrOmGuuJ7RaCQmJoZ9+/YRGxuLxWLBwcFBqxzj4OCgOUfNZjNJSUkEBATw119/aZV/+/Xrx5AhQ5gwYQK//vorJ0+etNldV2ykGjVqhLOzMyaTie7du6sF4EOMbLvTpk1LJ9CFtETPa9euMWPGjBwJdMePH5+viZ8KhUxmHXTF+H3x4kU+/fTTfBXoTp48maZNmwKwaNEinn32WUCfbKoomgiHjnUAUYyHp06dAtJXDc4teS3QtZVkKRLzrTuj9+/fXxOwKdssuojnImxSOA7t7OwwGo3cuXMnz6+nBLqK/KRu3bq6LvOQtgdZs2YNe/fuTfceeV363nvvZVuYKyeKiL9dXV3x8fFh2rRpzJs3j+nTp1OjRg3c3d01G5cLM3Xt2pVPP/1UO6caK4svBoOBuLg4tmzZousSBdCiRYsME4Fkge6CBQtsCnSFLRaWQFd8P0qVKkXJkiUL9NqPIll1zM1JkDszxDgE9zs7lylTxmZ16qCgIO21nJBZB10l0C1eGI1GUlNT6du3L8ePH8fBwUEnzBXr/65du+Zr4bSwsDA2btwIoOt8YrFY8PT0pG/fvkDeCikzEuja29tjNBq5d+8eTZo0YcGCBWoOL0QqV65Mr169tCJDAqPRSPXq1WnRogWgLw4g5lphpzdv3mTPnj2MHTuWMWPGsHHjRq5cuaKdJy8Rc7/BYGDevHlKoKvQkVuB7vnz53FwcAD0wly5S4DcMff7778vEGGu3CFr8+bNTJ8+vcDXsoqCQzzrGjVqAGl7afG6KEqYHyiB7sOF9fOIi4vj1q1b7Ny5kw0bNrB06VLmzp3LggULWLVqFZs2bcLf35+bN2/qkittncuanAp0N2/enKlAV1xbvLdWrVr07duXlStXMm7cOOrUqaPF6eVxXdin/EcWJR8/fpxr167l5tepUCgUGWJnZ4ejo6NWZBLQ4ofx8fFERUXl27WzGysSxyiBbvFg5cqVfPjhh0RGRmp7DfG38C8JG3N1dcXd3R13d3dcXFy0uVH2h5tMJurVq8fEiRNtFr+0hbhmuXLl+OSTT2jUqJHmu5IRYqIzZ84wefJkvv/++3SC9Oz6mORzh4eH89tvvzF27FidMFfk24nP4+npma1zKxQKhUJR2BiNRiIiIujcuTO3bt3CycnpgWKWmQl0xRqxqAt0hQ9UiR8LFyHM7du3r040DtkT5gqyEuiKOJLJZCqyAl252I2yTYVCoVAoHj3sC/sGCgJrZ6P8t52dnbbg27BhA0FBQenEirJA94svvsDX1zfbyW3ZEebKf4O+2q6oXCgSN+RNjRwUFItYs9nM0aNHMZvNbNu2DYvFQvXq1alWrRp16tShVatWuLu7U7duXQCqVq3KoEGDuHTpErNnz9Z9ZsXDhwiQ2NnZaZuCNWvW6L4T1gLdadOm0apVKy2pSEYW6I4ZMwbQbzIUivxECHQB5s2bp9meCBSmpqZy7tw5Pv3000wrsuYWg8FAnTp1eP/990lMTNTOr8SPxYu2bduydu1abfwTjporV67k+XgmBLoAW7du1c5vMpnSCXQBnnnmGZycnNKdJythrlyJrWfPnkydOhVQ83tRR4wdItlX2IZw1p0+fRrI2+donXQh2LVrly5ALY4VAt3PPvuMsmXLqmIcxZj8nquEnQ4ePJiDBw9y9epVTQQmgjn79u3j8ccfB9BsLTcdczP7PoifV6tWjWrVqtG6dWuuXbvG0qVLuXz5MtHR0QB0795d7YUeMkqUKEHlypW1JB6xX65UqZJOEGSN2C85OzuzYMECxo8fz65du3Tdn8X4/MsvvwDwwQcfKKHsQ0hGwlwRSMwrYa5AvKdRo0b4+vrqOk+KufjMmTPcu3cPR0fHHI/hQqALsGTJEkJDQ7WxV57zRXfeGTNmUKpUqRx/DkX+s2vXLk1QY8tXCHDp0iWtcnReJ0dYLBYOHDjAoUOHgLRiRmKc9fLyonr16kDeCymFQFewf/9+bWxu2LAhq1at0pJRlF+q4BHjX6dOndixY4dW8Eok2Xp5edGjRw9atmzJkiVLtPcIP44QxQg/d0xMDDExMbz//vvUrl2bJk2aMHz4cDw8PChdunQ6v3pukX2l8+bNA+7v162FRLJAF2DMmDGUKVNG+YAecuRYUp8+fQD4/vvvCQgISFcYTQh033rrLVavXs3p06d1HXNFN13rjrmNGjUqEGGuKOYg1jObN2+mSZMmWkEFxcNJ1apV8fLyIjo6WpecdujQIeLi4ihRokS++HWsC7sOGTKEw4cP62xRjJ1CoAvQq1cv3Nzc1NhaBLDuKrtt2zauXbvGpk2bSExM5Pbt2xm+18XFBYPBQPv27alZsyYvvPAC5cqVo0SJEtoxGT1ja4Eu3I/dBwcH6wRFZrNZE+haLBZGjBiRoe1Yj681a9akZs2aDBgwgC+//JKTJ09y6NAhXTcXuQCOfM8Wi4Xjx4/z33//UbVq1Zz8ShUKhSJTxPjl4eGhe13MnWFhYfl6/ezGiqwFuvPmzcPHx0fFiooYK1as0JL/5WcnfDf29vY4OjrSt29f/Pz8aNOmjbZWjI2N5a+//uLMmTNs375d84VWqVKFl19+GT8/vxzdi5i3K1SowPz585kyZQonT57UCmXJhTTs7OwIDg5m6dKlbNmyhfHjx9O8eXO8vb21+dzaHkVMXPjtxTpgz549bN26lZ07dxITE6MT5ppMJsqWLcv8+fOpVKlSnvzOFQqFQqEoKBISEmjcuDFHjx4lKSlJy73IbczSWqDbv39/goKCdPntYj4XAl2ALl264OjoWCA+HGuBLsDPP/9MaGiodo9K/Fi4JCUl8cEHHxAdHa0ripoTYa5A3pu0a9dOe33fvn26taAQ6KakpDB06FBWrVpF8+bNC+X5Dxo0CLgfXzeZTDg5OZGSkqKEuQqFQqFQPIIYLA95GWKxoLl+/To///wzAwcO1CXOiJ+npqaycuVKTaALpEuuMJvN+Pn5ZVugm5kw1xrryi3WlddlZ7f1psZasCv+NhqNWkVqcW57e3ucnZ3x8/PD3d2dRo0a0bp1a60Kp1oA5j9FIbFAtt0ZM2awZs0azWbkCtSpqalUrVo1U4GuQpEbMhpr5O9Hdr8rcXFx/PTTT8ybN08LvIhNvhAq1q9fP18Eupndv6J4cPXqVbp06aIltsP98a9ixYqsW7eOMmXK5Pk1g4ODWbhwIVu3bgXSnJ2yY8rLy4t33303nUA3u8Jc5eApvoSEhNCpUyet6IpY+7Vp04bly5fnyzXlNeaxY8dYtmwZu3btAtAJdMWxLVu2VALdh5D8GCfi4+OZOnUqf/31V7r52cvLi40bN1KuXDmdiOa9995j06ZNwIMJc2Ws5+eUlBT27t3L33//TXx8PAsXLszxORVFF/Eck5OTGT16NAcOHMBgMODq6sry5cuzlUAkxrbExETeeustnUAX9BVeu3XrpgS6DxmZdcwVIrO8FOYKhN1NmjSJX3/9VWdzBoMBb29vtm3bpktqzymxsbFs3749nUBXJLOJfz///PNKoFtESUxM5Pfff2fNmjVcvHgRSPMpyvuJWrVq8cMPP+Dq6ponYlVh3wEBAbz22msEBwfrimuIwgfffPMNTz31VL7ujc1mM4cPH2bZsmXs3buXBg0asG7dOiXMLSKkpqby0UcfsWHDBl0Cj4+PD6+//jq9e/dm9+7d7N69mz/++IM7d+5o77Xeewh7FnuVihUrUrFiRUaNGkWNGjV03Xoe1ObEGGyxWHj77bd1Al1ISwixWCyUKVOGjh07KoHuI4Q8x2/YsEET6ALp5mux14mMjAT0Ph9rYW5BdcwV87tcrb9Lly7MnTs3T66rKNr069ePkydP6mKLpUqVYuvWrXh5eeXrteV52Vqgay1wr1y5MgMGDFAC3SJEREQEf/zxB7t37+bAgQPa63LHPXkMhLSi0nJsunLlypQrV47XXnuN8uXLU7FiRSDzuVvYh8lk0mL3wcHB2vXFMQDlypWje/fumQp0rZHn/YiICHbs2MHatWsJDw8nMTFR58MSn08U+TKZTPTo0YNZs2bl8jerUCiKO1mt33ITMxFj119//cUbb7yhJZmLcUjuxpSf5CZWpAS6RYu1a9cyffp0AF1umthfu7m50aVLF1544QVdATTr55eYmMj+/fuZPXs2FouF3r17M2DAANzc3HJ1X+J7ExoaysyZMzl48CAJCQk2u9TL3XWbN29O8+bN6dy5M76+vhn6Kk0mEykpKWzfvh1/f39+/PFHXfdfOTbl7e3Nd999R82aNXP1WRQKhUKhKGyuXLnC3Llz2bVrV57FLIUPJyoqKlOBLkD9+vUZNGgQnTt3LjCBLqR9psTERJYvX64JdGU/p8r3KDz+++8/vvjiC86fP09qaqqu6HVubFO2q927d7N69Wr27dsHpBVdBbTr2NvbF6pAF+43yZoxY4b2f5W3qVAoFArFo8dDLc6VEyp79+5NQkICQ4YM4ZVXXsHT0zNfBbpZdcyVq/Jbi3WtKwQKRKBQHCN+bkucKx8ndx2QnY4AL730krYgVMHu/Ee2F1sJgwUZtFACXUVBYr3BjI+PByAsLIyEhAQcHR3x8PDAYDDokishe2NTURLoKooPolPYwIED8ff31xXDAPjuu++0ro55jS2Brq2uU7JAVwlzH35SU1OJjIykU6dOxMfH69ZxtWrV4vvvv6dUqVL5sl5TSRcPJ9bPJjw8nPj4eK5du0bJkiWxt7enZs2alC5dOs+vLWzK39+fQYMGkZSUpNmuGOf69u3LlClTcHFxAfKuY25mZGSvaqx8uBBzZnJyMq+++ir79u2jTp06fP311/j6+mZrHFUC3UeTwhLmyuf48MMP+fHHH9PZW5kyZR5YnAtKoFucEXNrUlISv/zyC2vWrOHSpUtA/gp0xXsjIiIYMWIEly9fTrfnNhqNDBo0iAkTJuDk5JTv/kWz2cyePXv477//eOedd3B2dlbC3CKAsNHw8HD69evHzZs3dQKaevXq8f333+Pq6kpCQgIREREsXLiQS5cuad3uAZ0PG9L83XLxySZNmvDUU0/Ru3dvXF1dcXR0TNflL6coga4iM7Ir0BWIdYOIB4kkocIQ5iqfUfEjL56LGNOmTJnCli1bdN3CzGYzX331Fe3bt8/38Sszga7si7JYLFStWpV+/frRo0cP3N3d8+2eFJkTHh7O8ePHmTNnDrdv3yY5OVnzURoMhnSiVfnfAnlNKuZ1Nzc3GjZsSO/evenYsaN2bEY2mN8CXetjLl68iL+/P19//TU3btzQ7cXE57ZYLHTv3p3Zs2fn9NeqUCgeEsTYdPXqVX788Ud8fHxo0qQJLi4u1KpVy6bfWazBshNDOX36NH369AH0OUMFOfaoWFHx5Y8//uC9997TFZqAND92mTJl+PDDD2nRogWenp5A+nWn9fx44cIFAgMDadWq1QMXtBbXioiIYPny5ezatYugoKB0OUryPQtb9PLywtHRkUaNGlG+fHlKlSqFi4sLd+7cISEhAX9/f6KiorS1gjiHuK6Y1+vVq8f8+fOpVq3aA30WhUKhUCgKm8uXL/P555/zzz//AHkTsyxOAt179+6xcOFCUlNTeffdd3U/UxQs8rM/cOAAc+bM4cqVKyQnJwMPZpvZEejKRTGLgkBXFMt58cUXWbBgAaBsU6FQKBSKR4mHVpwrJ1QOHDhQq1Tu5eVF586dGT16NB4eHtpxeSnQzapjrpzE6+7uToUKFXj66aepVq0aTk5OODo6kpKSwtWrV4mKiuLGjRucP3+exMRE7XMIRGKodUdea8GuWKjK1dG7devGp59+qh2vEojyF2EnKSkp/O9//yMpKYl27drh6elJ7dq1KVOmTLpFuCySzc97gqwFutWqVWPatGk89thjSqCryDbWY8v27du5fPkyf/75JzExMURGRmq25uzsjMFgoFWrVlStWpXu3btTtmxZLThk63wySqCryC1CDCYXs7BYLMyfP58XX3wx366bkw66bdu2xdXVNVvdT1SSZfFn0KBBHD16VLcGdXFx4aeffqJGjRr5dl2VdPHwYD1fbtmyhbNnz7J582YsFotWkVx0IPP29qZ79+40btyYunXrZnie3NxHQkIC7777Ljt27NA5yC0WC/Xr12f58uV4eHgwdepUNm/eDOSfMNf63uTCRmov9PAhC3QHDx7M448/zvjx43N0jqwEumKvBEqg+zBQmMJcQUpKCsOGDePYsWOAPhHT29ubP//8kxIlSjzwmJWRQBfSRJ5KoFu4ZGRXYs66d+8ev/76a74LdMV7EhISGDBgABcvXtT5IMX9NG7cmLfffpsWLVo8+IfPJuKzig5mSphbNDCbzSQnJzN9+nQ2bdqk7VuFqEX2R8P9bjzXrl1j06ZNbN++ndu3b9vsbGNd5EXQoEEDqlWrxquvvoqXl5dOzJWbNd6DCHTV/vvhJzsCXVvhNiXMVdji2rVrbNmyBS8vL5544glcXFwoV66c7hh5TMrt+m/btm289dZb6QQP77zzDi+//PIDfYbskp0OukKEWaJECRYsWEDbtm0L5N4Ueg4cOMAff/zBH3/8QUJCgs35OCNRbkYiXdDvnQEGDBjAiy++yGOPPQZkXUgtvwS6kH69EB0dzYYNG9i/fz+HDh3SFdlWY6hC8WgjvvfBwcH069ePqKgoAFxcXDCbzdSpUwd3d3fq1KlDo0aN8Pb2plGjRlqyeFbnTU1N5ebNm/Tp04fo6GhdkaL69euzevVqXFxcCiQOk5tY0Zw5c9KtZRQFx4kTJ5g9ezanT5/WvS6ECl5eXnz11Vf4+fll63zy/JiX8T9h73Fxcezbt4+1a9dy5MgRmw0nIM3XZe0LyAhhn/I6QezfGzduzNSpU6lUqVKefBaFQqFQKAqbgIAAPv74Y5588klGjx4NPPheNTOBLugbShW2QDc5ORlHR0fda4rCQX72hw4dYsaMGQQEBDB58mSGDx8O5P4Zyef+77//WL16NXv37gX0e5OiJNDdt28fbdq0AZRtKhQKhULxqPFQinNtJVQKwavFYsHHx4fnnnuOsWPH6kRfeSHQzapjrpzM+cILL9ChQwfatm2bZeeT+Ph4kpOTOXToEOHh4ezfv5+QkBBu375NbGysdpzsnBSfCdCJjVQSRsEj28egQYM4efIkkBasrlKlCh4eHtSuXZtmzZrh4+ND8+bNMRgM6YSwD9oFIqN7AyXQVeQtcnDl8OHD/Pzzz1rFNkirni6EtBaLRRdU8fHxwcvLi7feeou6devi5eWlO68t4uLi2LhxI5999pkS6CqyRNjSypUrmT17tmYvYszr27cv//vf/7S5Pz+wFujKQUe5kvHMmTN57LHHGDNmTLoOE0qYW/jISWl5weuvv87ff/+trRPs7e2xt7dn7dq1NGjQIE+ukRFKoFv8kauFXrp0ie+++45t27ZpazuRCCSSYMX+xMnJCScnJ1599VWefvppqlatqjvfg7Bp0ybee+89IH3y5Ouvv05UVBTr1q0DCkaYqyh6ZNUpJ7eI/bnJZCIuLg4PD48c76NUB91Hg8IW5gq7jIyMZNiwYQQGBmo+KLFG7dKlC3PmzMkzX0BOOuh+/PHH+dJlXWEb2Yd06NAh2rRpo7M1WaD7yy+/sHbt2nwR6MrC3IEDB3LhwgWbSRgeHh5MnDiRl156KX9+IYpiyf79+xkxYgSAznZ9fX2ZPn06Tz75ZLr9w7Fjxzh16hRLly4lISGBlJQUzZ8t3i/s3zox18PDg2bNmvHiiy/y7LPP4uLiAuRunM6JQNfLy4tOnToxcuRIvL29c/fLUuQLGSWTy//OzZyalUA3I/Gas7Mzq1atonHjxkqYqyA4OJiXXnpJi+15enpiNBpp3rw5FStWpEmTJtSrV4/SpUvj6upq8xzZfYbHjh1j4MCB6QQOst+zIBInMxPoyt9VuauEomDZsmULX3/9NdevX9ftpa3nQFFwQx5fjEaj9rqtYtK2imw0btyYDh06aHurjNapBSHQFcjrcJPJxKpVq9i1axcnTpzghRdeYOHChbp7UigUjw4Z+Y2E70Ssu+TxD6By5cq4urrStGlTKleuTKVKlWjQoAEGg4GyZcvavNbQoUM5dOiQ7jUvLy9+++03PDw88u0zWpOdWJEcnxw/fjxjxowpsPtT3MdisZCUlMSiRYtYvXo1KSkp2nMRc5q3tzdr166lcuXKRaJQqbgHs9lMXFwcCxYs4J9//iEiIgLAZlE4uRmF9dpDLsIKablN4n1+fn507dqVDh06PHD3X4VCoVAoCgLrQhOZ7T/v3Lmjxe/yaq+a0w66AwcOpEuXLgUq0FWF2Asf69+7/P89e/YQHR1N165dgQe3zewIdC0Wi1YksygIdEH5jxQKhUKheBR56MS5mSVUCmedyWTCwcGB5cuXa1V5rd+fG4FuUlISTk5O2RLmDho0iEmTJuHg4JAukGm9cchI6JCSkkJAQAAXLlzg6tWr7Nu3j4SEBO1+BSLALT67SsIoWOSOuUOGDOHEiRO6ALPJZLIZrKlSpQpubm489dRTVKhQgQYNGlC5cmXs7OxwdnbWHWvdATq39wi2BbpywF0JdBXZQdhUeHg4n3/+OUeOHOHGjRuaLcnBEmtRm2x3ZrMZZ2dnnn/+eZ5//nmeffZZ4ME76NarV48pU6YUaFcfRdHl/Pnz9O/fn6SkJF11//bt2/P111/n+/VtddAVc4Is0C1durS2tlBJloVLdpy7ueneJZ7b4sWLWbx4cbrx66OPPqJv374PcuvZQgl0iy/ChqKiovjxxx/ZsWMH58+f1+ZecYyczAD65Eq4P/516tSJLl266M6bU+T9zGuvvcauXbvSVUCXgzdKmPvocvv2bezt7QkJCSE5ORlPT09KlSqFnZ2drgNebsaYvAjIqQ66Dzdy55MBAwYQGRmpE+bK45TcYSw/xqUVK1Zo6znrxDJ5TMwrMuugK9YhZrOZ9957j8GDB+fptRW2kX1IvXv3xtfX1+aeJL8FulkJc+VxT07AVUkQCplp06bx008/pRvPhg8fzuTJk7XXrAtiBQUF8ffff7N9+3Zd1x9bCbqQvpvuk08+Sd26dRk1ahSOjo44OzunS+jNiuwIdCFNDCRXgFcULtbPODU1lcjISFxcXEhNTSU5ORlvb2/dHkmQ3bk9ux105f3Wp59+SpcuXUhOTtZiQg+KEuYWT6yLCovxS47x2NnZ4ejoSLly5WjRogUVKlSgXbt2lCxZMl2nr+zEhgYMGMDx48d143Ht2rVZt25dhuLf/MCWQNfR0ZHU1NR03dWVnRYsa9euZd68eSQmJgLo9rtinhV25uTkRGpqKp6enri4uBAfH4+TkxPR0dHa+8X7xHwq+xLldaS7uzvt2rXj008/zTQeXpACXWuCgoIICQnhySef1N2LQqF4dJD9Rv3799flH0H69ac87sk+d4GXlxeOjo40bdoUT09PmjZtSs2aNfHy8sLT05OpU6eyefNm3X7HwcGBn376iRo1ahToOJRZrMjBwUHzG8lrTUXBIZ7P6dOnGT58OAkJCZr9yfHlZcuWUa9evSIdv9u1axeHDh3i+++/1xWWtY4hyXF8eY8v7+/Ed87b25u2bdsyevRofH19tc56CoVCoVAUZcRaT8TMa9Soka05PK9jM1kJdOVc58IS6CoKFmGbiYmJWnHUzAS61u97ULIS6Ap7LGoCXYVCoVAoFI8WD5U4NzNhLugTdeSEyozOkxOB7meffUalSpWIiopi8ODBOmGu9bXlBKTcYiuRTnQUOHLkCBEREfz777+EhYURFBSkXbtz587MmzdP9zkV+YfYFKSkpDB06FCOHz+uS5ABfZc9OYES0AWsS5Qogbe3N+XLl6d58+Z4eXnx+OOP4+rqmq7CY24c60qgq8grhC2FhITwxhtvcPHiRV01UzlBTU64kO0d0BU1sLOzw9XVlZdffplRo0ZleQ9KoKvILhaLhZCQEE2IIXf0KV++PJs2bcLNzS3fg5W2BLqisIi8hpATK1WSZeEgO/y+/fZbDh8+jJeXF61atcLLy4vatWtnWPFcriSemTN6+/btjBs3Tgssi7n4tdde44033siXz2VNdgS68jFKoFv4CPsKDw9n1qxZHDx4kDt37ujWc6Dv9GxdGEguJlSjRg169+6dJ90hzWYzy5YtY/78+ek6qAjkQkqghLmPCj///DNXrlzhl19+ITU1lejoaOB+0MTNzY2yZcvywgsv0LBhQ5566qlCvVfVQffhJiQkhO7du5OQkGAzwdJisfC///2Pfv362RSS5QX+/v7873//4+zZs7q1oMVioW7dunzzzTf4+PjkeVDblkBX7JtUgmXBIgtzhw0bxrFjx2jRogVr1qyxub6SBbq//vora9asyROBbmbCXOv1wssvv8w777wDqPlakZ4NGzbwwQcfaHYhJ6YvW7ZME7nIyHaUnJzMypUrOXHiBDt37tSOseVDEq/LIt3q1avTrFkzunfvTtOmTXPcLTUzga74bqWkpFC3bl02bNigEn0LEesuuWfOnOHkyZMcPHiQqKgoAgMDcXR0xGw2YzKZqFatGm5ubjRt2hQ/Pz9q1qxJ+fLlbZ4vI3Ii0LVYLNSsWZM5c+ZQv379PBkvlTC3eJKVqEcW58rjGdyPD9nb29OsWTPKlStH06ZNqVOnDt7e3nh6emrHWX8fACZOnMiff/6pJaoZDAYqV67Mxo0bKVWqVAF9+vvIa5Bhw4Zx8OBBACXMLUSWL1/O3LlzAb0oVxbRwv1Ot+XKlaNjx474+PhQtmxZSpcuzb1797C3t+fq1avcvHmTEydOcODAAYKDgzWxrhiTZJ+UXDyudevWLF26NNMk3oIW6OZnQqlCoSh+BAUF0a9fP6Kjo3FyciI5OVkbyzLCWrArRIZibJWLWAKUL1+eJ598koiICP755x9dgWuAefPm0blz53TXyS8/lXz+jGJFgFprFjKxsbG89tpr2n5AtjN3d3fmz59PmzZtiqxIxtpmTp8+zb///svOnTu5dOmS7jsg9jvC3g0Gg7ZmFjZasmRJXFxcGDhwIM2bN0/XrEOhUCgUiqKMXBSmY8eOmEwmfvvtN2rVqlUoOTjFoYOuomCQdRnz58+nU6dOPP/880DBFu21FuiuWrWKffv2Afq4kb29vRLoKhQKhUKhKBQeGnFuToS5U6ZMyTLJPKcC3aZNm/LRRx/x9ttvc+nSpQyT1kaMGMGkSZMyvXZOyKzqv6hkfPLkSQIDAwkLC+P111/Ps2srsofZbGb06NHs2bNHV0HUliBCIItxRLBZtiOBp6cnBoOBZs2aUb16derXr4+fnx9OTk66hAxx/swqT4NeoDt9+nTWrl2bTtAhvhdKoKuwhSzMHTRoEOHh4drmV9iRdRDFln3Lwh3r4ObAgQN57bXX0tm4NUqgq8gJ48aNY/v27bo5HmDLli3UrVu3QO4hODiYL774gt9//x1I3xUI0neYtlgsKvBdgMjz9vfff8/MmTO1n4nkijJlyuDt7U25cuVo1aoVnp6eNG7cmNKlS+Pi4pJhwrYImBsMBg4ePMiIESPSCb46dOjA559/XmCO95x00DUajdSvX5/Fixfj4+OT7/em0CO++9evX+ett97i7NmzuuIq1kmP1p1r5XFPrirp6+vLK6+8wsCBA4EHc6wnJCTQq1cvrl27ZjNZXV4LKGHuw01MTAwHDhxg06ZN7NmzR3tdCALFui0lJUX7mbu7O23atOHNN9+kQoUKhbb/UALdh5PU1FSWLFnC4sWLAX0RCkjbn48aNYoJEyZo78nLuTghIYFly5bx7bffaqJccS8mk4nOnTszc+ZMnJyc8uyaMtYCXTEmq3VmwSELc4cMGcKJEycAcHNzY+vWrRkWf8lKoGs9PmUl0M2JMHfIkCG8++67uvtXKKwRwivrca1Lly5MmzYNd3d3m++Tx5x79+7x77//smnTJs6fP09UVJROwGY9ZsvF4MRrXbp0wc/Pj0GDBml2np1xzZZAV6xZTCYTjRo1Ys2aNVoXQfU9KFzWrVvHyZMn2bp1a7qCQLZ88ILatWvTtGlTevfuTaVKlXB3d8+WfWQl0JX3ZGazmapVq7JgwQLq1q37QPNqZsJcEVNQwtyihxy7FKIeSB/jsx7PZLGNbNd2dnbY2dnh4+NDs2bNqFKlCs899xyurq6UK1dOd+2//vqL8ePH6/b+FouFFStW8MQTTxTEx9chr0G6dOlChQoV+PrrrwFlpwXNmjVrmDFjBqD3RYv52tnZmZo1a9KjRw86dOiAh4dHtvxC9+7d4++//2b//v38/PPP2pgoryWFjYsYaLNmzVi4cCHe3t5FRqCrUCgUcN+XOXbsWI4dO4ajo6M2hwvEOkwgF2K3Nb/LBayFn16OkVuvC8Se59lnn6V27drUrFmT2rVrU7JkSXx9fXX3Isfj5U6iD4p8P8ePH2fZsmXs3LlTNQYoRMTv+8CBA0yZMoWIiAjtZxaLBRcXF1555RWGDx+udTbLa3Iyt+bEPiwWCyaTiX379nHhwgX27dtHUFAQZrOZyMhIbd9tNBqxt7fH1dWVBg0aULZsWXr16oWXlxcVKlTI1bUVCoVCoSgsbOW+w/0Y0dq1a6ldu3aRE+iCPqdTCXQfTmTReO/evYmJieGpp55i4MCBtG/fHig8ge7u3btZvXq1TqCrOugqFAqFQqEoTB4KcW5GwlyRzCsH+7IjzLU+b3YFus7OzlqFYFsdc2VhbkFsljK6hlpkFiwREREsXryYf/75h9u3b9vsNgf66qnWX0s5gCMSwsTrQmwoXnN1dcXDw4MWLVpQpkwZ2rRpQ5kyZahYsSIlSpTQXUPu0CsneGQm0FUddBUZIewoNDSUoUOHEhISoo2HYix0cHDAxcWFF198kbJly1KnTh0MBgOJiYkcP36cGzdu8N9//2nnlMVf8njaqVMnxo4dS40aNTK9JyXQLd5kNlfmVWBZjIWiY7iY34WtfPnllzz99NMFNnfaEujKAg15HlBJlgWLPG+uWrWKWbNmAeiSujMqpuHu7o6LiwtVq1aldu3alClThhYtWlCqVCmqVauWThSRnJxMr169tKReMc/XqFGDX375JcMuZ/lBdgS6sohuzZo1ajwtYIT9hYSEMHLkSIKCgrSxzFZhDFdXV1JSUjAajVoHE0AnvJELs9SrV4+xY8fy3HPP5foexXi+dOlSFi9eTGpqarqkYvH/CRMmMGrUKN1nUzw8hIeHM3v2bE6cOEFYWJi2z7BOErcW8AibrF+/PiNHjuSpp57Czc2tUD5DVgJduQOGEugWH4KCgti4cSMbN24kJiZGt2+Xx8RBgwYxbdo0IG/8OsLe//77b9555x0SExN1xY1SU1Px8fFh/fr1lCtXLl+Dm0Kg+/XXX3Pjxg3VvawAEc81JSWF4cOHc/ToUezt7TEajTg6OrJmzRrq1q2b4fPPK4FuZsJc+f2Q998FxcOHsIuNGzcya9YskpOTdcWnypQpw/LlyzMVKVrbfEREBKGhoSxcuJBr165x8+ZNgHSFBWWs1xItW7bUiTAzupatz2KxWHjnnXe0/boszM2sG7Uif0lMTMTf3581a9awY8cOXfEf2W8uiyAgzb8i20fFihWpWbMm48aNo3bt2tnqtpydDrqQlqj2oAJd1TG3eHL79m2GDRtGQECAbv8r1n3ya6C3OWvxbkZCHgAXFxdKlChB27ZtKV++PB07dsTd3Z2YmBh69uxJUlKSTjCeUQe+gsDWuKnstGDZsmUL77//vpaoaL3mc3d35+WXX6Zt27a64pVZrUmt14Z//vkn27dvZ+fOndy7d09XWBvS5nGTyUTjxo358ssv8fLyynBuVQJdhUJRGAQFBZGYmMjt27c5ePAg4eHhnD9/nuvXrwPo/OyQ5u8W6zbrwpkycjEOeS60zkUSGI1GXFxccHZ2pm7dupQuXZpmzZpRtWpVfH19qVGjBsnJyekKxcprCrn4R3aR33/w4EEuXLjA8OHDATWHFyYffPABGzZsSOdPr1evHrNnz6ZOnTp5ej3rZ52YmEhSUhKnTp0iJiaGO3fuEBsbi4+PD5UqVcLHx4dq1appx2dnLrZeS6SmppKQkMDdu3cJDg7WfKaiUE2JEiUoU6ZMnn5OhUKhUCgKEjn3feDAgURGRmp5uCkpKUqgqyg0hL3JugyxP3niiScYMmRIkRToihi/EugqFAqFQqEoaIq9ODczYa7BYMhxx9yMzp+VQNd6YWndTaKghbnW96I2OYXL9evX+eGHH/jpp5/SJfoCNu1HTrSwFayRfyZ3i7CVkCEEPVWqVKF69eq0bt2a0qVLU7NmTZvXlQM2H330ET/88IPqoKvIFrdv3+add95h//796briuru7M3z4cFq2bEnz5s1tvt9isbB9+3Y2bNjA6dOniY+Pz7BLzwsvvMDo0aOpV69epmOcEugWT8T8GxgYyNKlS6levTrNmjXDw8MjnShbjF25caCI9x44cICxY8eSkpKiS8wcOnQoU6dOLdC5NKMOukqYWzRYvXo1n3zyCYBNIa7c3RjIdH42mUzUrl2b8uXLU7t2bVq2bEmZMmWoXr06/fv35/Tp09o5jUYjPj4+bNu2rcC7MmUm0HVyciIpKQmARYsWPZCAU5Fz5CqVgwYNIiIiIl1hDHt7e0qUKEG3bt2oXbs2jRo1wmw2ExMTw6FDhzh27BhHjx5NN8/K674XX3yRDz74AE9PzwcaD0+fPs3QoUM18Zl1N6tJkyYxYsQI3WdTPDyEhIQwYcIEzpw5Y1McIbAWUIjX4L5dVKlShf79+9O9e3dKly5d4J8D0vb09+7dY/z48ZkKdLt27cqHH36oBLrFgJCQEH744Qc2bdqUbt8uj495JUoU7z169CijRo3i7t276fYqbm5uTJgwgf79+xfIuBgbG8uWLVu4ceMGU6dOBdR4XFBYLBZ69+7NmTNndF13zGYzU6dOZejQoZnOwVkJdEUicEYCXSDbHXOVMFeRE65fv07//v25deuWToRmMpn4v//7PxYuXJhjf2JSUhLHjx9n+/btbNmyBZPJpOvCJyOSzsW4Kubq0qVL06NHD5o3b86zzz6boaBIIL8+evRoIiIiWL9+vRLmFjJRUVGsXbuWv/76i0uXLunWl9ZibVsdy8S/rX3vLi4uDBkyhP/7v/+jcePG2vkymg8LSqCrOuYWX+7du8eZM2cIDw/XilNGR0dz5coV3XFinyz8f9YFXm2Fc8VzF2OsbPteXl44ODjw3HPPsXHjRhITE3XrgSFDhvDuu+8W2nxuLUBSccyC4+DBg8ycOZOAgADdOCUK8Hl5efHZZ5/RtGlTLVaY02ckP9/Q0FBOnDjBhx9+SHx8vO6aYvySO+iuXr1a59/K6NxKoKtQKPKbzNZRycnJREVFERERwcmTJ4mOjubUqVNERERw584dIiMjdceLOd3BwUHnF5eFu9ZYF+iw7kJuLdx1dHSkWrVqlCpVipYtW+Lt7U3VqlWpUaMG9vb2eHp62vx8cv5HZtgaQ9Vas3CwWCxEREQwcuRILl++nK5Q6/vvv8/AgQPz9Hrys/f39ycwMJANGzYQGRmp5dDJGI1GvLy8aN26NV26dKFJkya4ublle+2Z3fi/9ZpZzfMKhUKhKI6Eh4fTpUsXYmNjcXJyIjk5GUjbpxdlga51QRkl0H24uHr1KsOGDSM8PBwHBwfMZrO2nynKAl0RbxffISXQVSgUCoVCURAUa3FuRsJck8mULnEsN8Jc6+tkJtC1pjA75iqKJtevX2fdunU2E30Fwmns6OiIwWDQxC7iZ/LGwVZyhnXyuq0OAIAW6G7atCmenp60adOGSpUqUbFiRSpVqpTuO/Lxxx+zbt063eZJddBVWJOUlMTSpUtZtWoV8fHxukSfMmXKMGfOHFq0aIGTkxOg73xqbXNBQUHs3buXr7/+WpfACeiCS82bN2fOnDlUqFAh03vLjUBXOYcKD1lsNmDAAC2A7ejoiKOjI35+fnh5efH000/j6+tLrVq1cHV1tXme7HbXDQgIoEePHlqXWmEbnTp14rPPPsvzz5gVtgS6YtxXSZaFx8qVK5k9ezYAzs7OWscRW3OywFYxDXkOtRYoOjo60r59e65evUpAQEA64drKlStp3bq1zfvLz3VmZgJd0Atz1fhZMNjaC1kLc93c3OjWrRvPPvtshnZz/fp19u3bx0cffYTZbNYKHYG+o+2sWbPo0aPHA9/3F198wVdffQXokyRcXV2ZMWMGL7zwghI4PISEhIQwePBgwsLCMu3sLGMt3pWFFhUrVmTMmDF07do1XReIgkIJdB9OMhLoQt52DRXvuXDhAoMGDdIVJYK0gm/PPfcc48ePp0qVKnn4KTMnMTERFxcXQK0zC5qhQ4dy7NgxLBYLqamp2jg5ZswYxo8fn+X7sxLoivHJlkAXUMJcRZ4jbHL9+vXMmDFD228LKlWqxPz582nYsGGOC2kKTp8+zSeffMLJkydtdpkEvb9U9pWKtW6nTp1o1KgRffr0oUSJEhleW7b5lJQULQ6h1q2FQ3h4OLNmzeLgwYPcuXNH23MLfx+k95EDOt+6LeQiR/Xq1eOll16ib9++Wd5Pfgt0lTC3+GLrGaSkpGBnZ8fJkye5ceMGp06d4uzZs8TExBAYGKjbi8tCHjGOZic2JP4trymsi8G2adOG5cuXA8qX8ygRHh7OggUL+O2333Rzsxj/vL29WblyZboCmbnB2q4CAgKYOHEigYGBumtbC3Qff/xxVqxYkakgRwl0FQpFYSHnDlnviUUB4PDwcK5du8adO3c4dOgQkZGRBAQEEBYWZrNopdh3ywV6syPYFf+X18HWRWrs7e3x8PCgRIkSNGrUiNKlS9OoUSOqVauGt7c35cqVs/k55WuocbNocvr0aQYMGKCbU41GI+XLl2fdunV4e3vnybMTtp6SksL169fZtGkTv/32G7dv39YJxcXfcoxKrEPLlStH/fr1mTZtGuXKlVP7FIVCoVAorNi9ezfz58/n4sWLgD5PQ+RvFGWBLqgOug8bFouFlJQUnn/+ecLCwnBxceHevXuAPg9CCXQVCoVCoVAo0ii24tzMhLmgT5p8EGGu9fWy6qBrzWuvvcYbb7wBqKS1h53sPN+MBLqQJrrx8vKiZcuWdOrUiX/++YfQ0FDOnTtHXFycdh65gjqkCdAy6gggdwCQK6hbB3XKli1L5cqV8fHx4cknn8TNzY22bdvi6OjI7NmzWblyZbqED9VBVyHGx5s3b/LGG29w5swZnTDX09OTr776iiZNmmR5LnnTnJqayrVr1xgwYABxcXG6pHiDwYDJZKJDhw58/vnn2brP7Ah0GzVqxIQJE3jsscdy/ftQPBgZze8WiyVd51ER0KtZsyYVK1akXr16NG/eHA8PDxo0aGDT4WNrrBbHjRw5kv379+vupUKFCmzcuBEPD48CdxTaEuiaTCaVZFlI+Pv7M23aNK5cuYKTkxMJCQlA2lwrd/rITjGNzOZnGfn8FouFxo0bU7VqVcqXL0+LFi0oVaoUtWvXzlCclt3K0tlB/hzHjx9n8eLFHDhwgC+++ILnn39ed4wif8lsLyTPv++//z6tWrXSKuLLdmBtE3v37mXUqFHpqu+Lf1eqVIlVq1ZRvnz5B7r3PXv28Pbbb2trW9nm+/Tpw8cff/xA51cUPW7evMmYMWO4ePFiOgG5o6MjLi4uPPnkk5QoUQIPDw9SUlI4cOAAsbGxhIaGauOfPLaYzWbq1avHF198YbO4UEGhBLoPJ/kt0LUlzJX9WcJuqlevzocffkirVq3y4VNmjZrTC54pU6awZcsW3frPbDbz2GOP8e233+Lg4JDtLjY5Eej+9ttvAHTr1k03VithriKvOHnyJG+++SYRERHpihUOHz6cyZMn5+h8csEjuYCSdUEksa6VE9/lfZgQ9Ahq1apF165dadWqFX5+ftrr1j7YjNbTioLjxo0bTJw4kVOnTqXbW4O+sJ8txLGyb1CO71gLJkaPHs1bb72V5X3ll0A3M2Gu8GkqYW7xQdia9bOxWCzcuXOHCxcuEB0dzZ49e4iIiOD8+fNERUVpxwn7lLuC27J5a+GOfB3xmq+vL2+//TYdOnSwue9SPFwIW/nnn3+YNGkSCQkJus7LJpMJLy8vVq1aRY0aNfJ8DBHz6Y0bN/j000/Zt28fCQkJGQp0e/XqxcyZM7Wf2bJNJdBVKBRFAes1nq053mAwcOfOHSIiIggLC+Po0aPcvn0bf39/oqKiSExM1GJOAjnmZH0tazIS7MpFiayPs1gslCpVilq1auHu7k7r1q3x8fGhUqVKVKtWjdTUVJuFkRVFhx07djB+/HjtWYvn2rx5c9auXZun14qJiWHRokUcP36cc+fOaa9bx0OtCw5b7618fHz4+uuvqVevnpqLFQqFQqGw4u+//2bVqlUcOXIEUAJdRdHg2LFjvPLKK9y9ezfDQv9FWaArfKbi3pVAV6FQKBQKRX5SLMW5BS3Mtb5uRgJdsbEQiz0vLy+2b99OiRIlSE5OLrSOPor8R64W+dVXXzFo0CA8PT1tbjKy6qBrMBioUaMGr7/+Oi+++CIAV69eJTo6Gn9/f06ePElYWBj+/v44ODiQmJioO7/Y8MrV8jMSBIn/C4e9bMdiA1WuXDl8fX1p1aoV69evJzY2Vic0krv/KYHuo82MGTNYs2aNTrRdsmRJpk+fTseOHbO98ZbH6jVr1jBjxgztZ/L3pWfPnnzyySfp3pMZmQl0hR3XqVOHVatWUbp06dz9IhS5Jqv5PTtjl8FgwMXFhbp161K6dGmtu66fnx/u7u7atWwJFmUbFmOmu7s7P/30E5UqVSrIX4VGcHAwixYt0hLmu3fvriUeKydR4XDr1i3i4uI4ceIEwcHBBAUFcfbsWVJTUwkNDdUdKyf8AumSfjObn8Vr1vOyjLD9atWqUaZMGWrVqkXDhg3x8PCgYcOGODg44OHhkeFnyY2zXr7vo0eP4uDgoBVfUM70giE7wlwvLy8WLlxI8+bNs3VO8ex27NjBuHHjdIIg8UxLly7NihUrqFev3gN/hjfeeIO//vpL10FV2Pfy5ctp06bNA19DUTSIiopiypQp/Pfff9o6Tthp6dKlGTFiBK1ataJx48a690VHRxMZGcmXX37JX3/9pdmHPO+ZzWZeeOEFFi5cWKCfyZqcCHS7devGBx98oAS6xYD8EuiKYy5evMjAgQPTCXPFuZ2cnJg7d65W/ELxcCPm9i1btjB16lRNECvGkapVq7Jp06Zsjx1ZCXTF/C7srWbNmhgMBgICApQwV5FviKJ/QLqCbgsXLqRly5bZOo+851i+fDlz584F0ISLwmfUsGFDzpw5o71PHsdl5GJJJpNJKw42ePBgGjZsSKdOnWxeW1F4hISEMHLkSIKCgmyuucQ45+HhgZubm1bUqmzZssTExBAeHs6NGzc4e/YsZrOZe/fuae+R7UT2FQL06NGDMWPGZNnNPq8FukqY+2hga24Vr4WGhhIWFkZAQACHDx8mIiKCU6dOYWdnl+PYEOg7SgO0bNmS/v3707FjR+11NdY9vERERNCvXz9CQ0N19pKamoq7uzufffYZTz75ZL6NIeK84eHhfPHFF/z7779ER0fbtDlPT0/Gjh3LwIEDs3VOJdBVKBRFlcw67d69e5e7d+9y/fp1AgICiIqK4ty5cwQEBBAYGKiLG8nFOOQxXLxmHW8CfTzHulisLOaUcXZ2xtfXFzc3N5o3b467uzteXl506NBBiXWLGCtWrGDOnDm6rrmpqan06NGDWbNmkZKSkqucHXl+DAkJ4cSJE3z55Zdabhyg8x9lhHXcU45fffXVV/j5+Skfk0KhUCgU6Ofev/76i9WrV+sEumJPK7p/KoGuoqAQ9nXq1CkGDx5McnKyFteWG1dA0RboWovclUBXoVAoFApFflHsxLmFJcy1vn5WHXSFo7Fx48Z89tlnVKxYUTkWH1Lkzk99+/bl7Nmz7Nq1C19f3wzfk5FAV2xODQYDFStWZNSoUfTu3dvmOS5evEhcXJxWQf3cuXPcuHGDxMREnXhHdBmVg+zWCRiQlnAkknrEZxPJmGJzYl1RFdCqtCuB7qPL9evXGTNmjBYoFJ1tn3nmGd5///1Mvw8y8mZZBJQgfZKlCCpBmtMnu9gS6BoMBq2y1+LFi3n22Wdz8vEVeYB49sHBwfTv3z9DYa71ssU6mGwdCBSvVapUiXLlytGyZUuaNm1K+fLlqV69uu5ce/fuZfTo0dp4JsbChQsX8swzzxSakzA4OJjp06fj4uLCF198Aagky4JG/n3bsoPY2FiSk5M5e/Ys0dHRXLx4kQsXLmgdT8T7AF3Sr3xuOVE8s+rnsr1bLBbdXC3j4+ODo6MjdevWpVKlSvj6+tK0aVNKliyZzvZtfdbM7D2rziuK/CO7wtzvvvuOWrVq5fj89+7d49NPP2X9+vW6dalYQ44YMYJJkybl+nmLsfXAgQNMmjSJyMhIAJ0AqHfv3kydOhUXFxdlU8Uck8nEDz/8wJdffsmdO3d0QhwvLy8WLVqEn5+fbjyUi3AIvvjiCzZu3MitW7d0PzcYDJQpU4avv/6a+vXrF/wHlMiOQFcc1759e7744gtVvKuQyMn4ldcC3cyEudZCyFmzZtGjR48c37OieHPmzBleeuklIG0cNBqNlCxZktWrV1O3bt1snysrga7cwUTYnRLmKiDv95rifOfPn2f8+PGaWAbS1oATJkxgxIgRWV47pz6jY8eO8euvv3LgwAHdda276QrkImDiuCeffJKmTZvy0ksvUaZMmTz5nShyT3BwMEOGDCEsLEz3HOWxTBRoGzt2LF5eXnh5edk819WrV7lw4QKbN2/G39+f6OhoIL19yOd+/vnnGT16NPXq1cvUVvNKoKuEuY82sr/I+nkGBAQQFxfH/v37CQ0N5dKlS1y9epWkpCSdf0jswazFO6BPTGvWrBmDBw+mQ4cOgFp/PoyI/fZ3333HggULMJvN2vO3WCw4OjoycuRIRo4cSYkSJfL9XoxGI5GRkSxZsoTff/+dmJgYnc3J4vG3336bxo0bZ2qXDyLQVWOmQqEoaLLqtHvv3j2WLVvG4sWLtb25iAt5e3uTkJDA3bt3tXNYi3etC71mFF8V7xd/Z9Zpt1+/fvzvf//Lj1+H4gFYuXIls2fPTrfe69ixI/Pnz8+xD8d6rt21axdr1qzB39+fmJgYXdFz2Z7kNavIEbH2+Vv7oTw9PdmwYQMVK1ZUc7FCoVAoFGQt0C1OHXTlQvCgBLrFHbFWsxboijxyuVB5URboWovclUBXoVAoFApFfpB9NVMRIKNkdLHQy29hLugFFeL8QqBrLdwQi9IJEybwxRdf4Ovrq5LYHjJkYe7gwYM5e/Ysbm5uxMbGZipGrFixIgMGDABIl+grbOz69essW7YMo9FIr169AHQdmOvUqQNAixYtALhz5w5xcXEEBQVx5MgRwsLC2LdvHykpKcTExGj3C2lOb1mEC2nBabnCqnCwy91FQR/IEfdtZ2fH1atXmTlzJtOmTaNly5ZKoPuIcOXKFS5fvgygC7A899xz+SrMFaI0QVRUFJ6enunOJ+Pm5qYlPM+bN0+XsKSEuYWHwWAgOjqaUaNGcfv2bYxGIykpKZqT0VYQT/4DaM/SWrgDcPPmTUJCQjh8+DBwv7t9nTp1qFGjBi+88AK+vr40a9aMkiVLEhsbqztfQEAAzzzzTKE5BytXrszs2bO1RGDlFCp45N+3sANZxFqqVCkA2rVrp3tfcnIygYGBJCQkcPz4ca5du0ZwcDAXLlzAaDSmm5/ldaY899qyd+HUlo+Tu4vfunULs9lMSEiIdj8uLi6kpqZSu3ZtypYtS82aNWncuDGlS5emXr162Nvba+sMW/YuB9etUc7z/CenwtzcjBXOzs60aNGCH374QTePCrsTNpvb5y3G8po1a+Lt7c2tW7e0II34HuzevZuRI0dSpUoVFZgp5iQmJrJ9+/Z0wlwPDw8WLVpE06ZNdcdb26uY/998803s7OxYsmSJtl8Ra8OIiAjOnj1b6OJcsV5xdnZmwYIF6QS6sh0bjUYlzC1AxFiYmJioif6zO7ZUqlSJ/v37A+n37SLobDKZWLNmDQDTpk1Lt3YVZNUxVxZCTp8+XQlzH0FSU1MpX748FSpUIDQ0VLPV1NRUYmNjuXLlSo7EueL9zs7OdO3aFUAT6Mq+JzlhV/xbCXMfTVJTU4mLi6N06dJ5+qzF/F61alUqV66sS9IRa4NvvvmG5557jkqVKmV4ntz4jJo3b06DBg24e/cuS5Ys4fz58xw9ejSdIF2+hslk0u7ZYDCwa9cuEhMTGTFiRJ78PhS5JygoiIEDBxIZGZmhMLd9+/Z07tyZzp07A+gKqcrHiwKT1apVo0OHDvz555/s3r2bzZs3a+IHeRwW79mxYwf37t1j5MiRtGjRIsP9lpyc3qdPHwBNoCv7EkQM6dq1a4wfP14n0E1NTdU6OSthbvEjL4qaiecoF/oRY7MoxtWsWTMA4uPjiY6OJjQ0lAMHDhAREcH+/fu5e/eu5ue0nudl8c7x48e163bo0CFHa2ZF8UDY0b59+0hOTk7Xwa5cuXK0a9cu34W54l4sFgteXl6MGTOGxMREtm3bRmJioq5Ajdls5siRI/z55580btw4U7sUx9vb2+ti98HBwdq4KI65efMmv/zyCwaDgaFDh+Lu7p7vn1mhUChkrP2EMmIf36hRI+3/Ms899xzDhw/n+PHjnDlzhvDwcE6fPo3JZNIKYVrvd8QYaB1vkuP5Yl1pq5B7165dNWGuWh8ULXx8fAAyjOPkZF8vrzUvXrzIX3/9xeLFi7Wf2yqQLexKrDNTU1Nxd3cnISEBZ2dn4uPjtfsSa1Cxz4mKimLq1KksXLhQy+1QKBQKheJRRt7zPvfcc9rrR44c0fknU1JScHBwIC4ujoEDBxaaQFfM7Z6envzwww/pBLpyHOrcuXOsXbsWQAl0iyHiOTZu3Jjvv/8+nUBXts/9+/dr72vfvn2B+hjla7Vr107z8e/du9fmdyglJYWhQ4eycuVKWrRoofzqCoVCoVAo8oRi0zk3s2R0uVse5J8w19b9ZNVBVyxO/fz8lED3IcNamHvixAlt4T516lSGDh2a5eYiOx10K1euzKhRozSBrrVNZ1ZBPSoqinv37nHo0CFCQkI4d+4cFy9eJCkpiaioKN2xYtNsKzEN9BsY64674jgR3DGZTLi7u7N06VIaN26cy9+wojgg7O7TTz/lu+++0wX6ypUrx48//kiZMmWy/C7ktmOuELABnD17lm+++Yannnoqw47TMnFxcWzatInZs2cDemGucgIVHqdPnyYlJYXTp09z7Ngxbt26xZkzZ3BwcODevXu6Y2V7kwPHtrrrCsS4LR/n6OiIi4sLTzzxBHv37iUuLk5X3U1UhC4KdlEU7kGRNVl12g0PDyc+Pp4TJ05w+/ZtLl26xOXLl0lISOD69eu6Y+V1pa0OElnZvPUaQXY6ylSuXBlXV1caNGhAtWrV8PLyonHjxjg5OWW7yIIi/ygIYa5Mz549OXfunK5Tc2pqKi1btmTZsmXY29vnej8jbPnff//lzTff1MZkSBujO3fuzKxZs1SRl2LOokWL+PLLL7XAh9lsxsXFhcmTJ9OvX79snUO25XHjxrF9+3ZtXBRVTfv06cPHH39cJPbZtjroyiKK7t27a2tPNafnP8J+goODmT17Nj169NAC2gXZQTcjYW5KSgqgF0J+9NFH9O3bV3f/ikeLN954g7/++kubg4V9TJ48meHDh+d47BDHJyUl8csvv2TYQdf6PQADBw7k/fffB5Qw92HHZDLRq1cvbt++zebNm/H29s7TZy7s8MyZM4wcOVIr3CFs3GKx8NprrzF69GhtL27r/ZB9n5FIsJD9ptHR0Wzfvp1ff/2VS5cucffuXd16V4ztcteoRo0asWbNGpycnNS4XIjY2geBfh4eOHAggwcPpmrVqkD25lFrO9+0aRNz5swhLi5OEyUIu5A7ALRp04bXXnuNpk2bZjomP0gHXfH+oUOH6oS5wgevhLnFA1nwktnYllsyiw3duXOHe/fuceTIEa5du0ZAQAAHDx4kNjY2w9iq6qD7cLN9+3bGjRunK0AgbPSdd97h5ZdfLtD7EfYVHh7OtGnT2LNnjy4+KY+7X375Jc8880yW58xOB11RsMHe3p7PPvuMF154IZ8+oUKhUOSe06dP06dPn3Qxofbt2/P111/rjo2IiMBisXDy5Elu3rzJpUuXOHPmDPHx8YSGhuqOlYvKWecziWuoIjDFh3///ZexY8cC6HzwJUqU4KuvvqJ169Y5Pufy5cvZtWuX1qlPnptlexG25ObmRtmyZenSpQs1atSgUaNGJCQkYDab+f333/H399dEGnInaLhfUH38+PH079/f5npZoVAoFIpHkaw66Ar/oOqgqyhoMuqga8vHWFQ66P7333+sXr2avXv3Amn7IYPBoOugqwS6CoVCoVAo8opi0Tk3s465ArGwGzt2rCbMzc8NR3Y76Ip/nz59mjfffFMJdB8i7OzstAo6J06c0BJk4H4QBLLuKpadDrrBwcEsXboUi8XCSy+9lC7ZwvpvWUDr4eGBwWDQdd2Jjo4mKiqKEydOcOvWLfbu3cvt27e1znpycpMQvYlgta3ETXE968/q4eFBvXr1cvfLVeQLwiGSlxteYXciuVeujOrp6al1+swPYa7cMffAgQPMnTuXy5cvExoayhNPPEGFChUyvXc3Nzd69uxJSkoK1apVU8LcQkaMa35+fsD9DjfDhw8H4Ny5c8TExLB3717CwsK4dOkS169fJzk5WetiAuiqP4uxUk6Cg/Tdde3s7EhOTiY5OZlt27aluye4HwSPjo7Gw8Mjn38LWaNss3hgq9OuWPuZzWZ8fHzw8fGhRo0a2nGJiYkkJiZy8eJF4uLiOHfuHDt27CAwMFDXDVqI0CEtKC6Lf2SxrtwdSHwf5GIbIskiNTWV69eva1UrBcLm/fz8cHJyok6dOrzyyiuq42MBU5DCXGFPohs0pNkd3C9m4OTk9ECfR9hv7dq1adiwISdPntQ+h7DXS5cuERISQvXq1ZUDvBgi1m/nzp3TxicxLpUuXVrr7pQdxLxuZ2fHG2+8wenTpwkLC9PN/9ndexUE1h10J0yYwL///gtA165dNWGusuv8Rxbm9u7dm5iYGBISEnBwcMhxpd7cdtAVyWbZFeZ+/PHHWnc9ZSOPHuKZV6xYEUjzO4o5eN++fQwZMsSm/yUzhK07OTnRrVs3wHYHXXGsoE+fPkqY+4ggig5evHgRgJEjR7Js2bI8FegK2/L19cXPz4///vtPmzNFks6ePXsYNWqUtkeRiwHm1GckOvFAmgDSaDRSpkwZBgwYwNNPP01ISAiLFi3i+vXr3Lx5U9dRUvxeGjZsqAlzrf1QioLDVkxIzK9iDhXibrFXzW5it7V99+rVC19fX1atWsWRI0dITEzU5nw5AX3fvn04ODgwfvz4TLua56aD7rhx41i+fDkVK1ZUwtxiSFRUFBcuXODw4cOcO3eOlJQUbfxo1qwZ1atXp3Xr1pQpUyZPOkdkFBsCKFWqFKVLl6ZLly7a8VeuXGHQoEFER0drfgW5iJvqoPtwc+3aNUDvX7Szs6NSpUqFEhsR9+Hj48MHH3zA8OHDuX79uubvFALa1NRUtmzZQpMmTfD09Mz0/rLqoCvWDwDPP/+8EuYqFAqbFIW5r1atWpQvX57w8HBtzw7345U3b96kXLly2mtly5YF0I1pZrOZe/fucerUKaKiojh27BhBQUHcvn2bwMBAjEajVhDZei8kXlNrzaKPn58fNWrU4OrVq7qiG4mJiRw5coSWLVtmuqcXzzUmJoagoCC++OILTbgA6cW0sh/TycmJGjVqMGHCBCpWrEilSpXSnf+tt94iLCyMVatW8d133+kaBVgsFmJjY9m5cycDBgwo9O+cQqFQKBRFhYetg64s0FUddIs3WXXQlf3nRaWDbtu2bbXXrTvomkwm7d6HDRumBLoKhUKhUCjyhCKfUZJZMjroF1OOjo6ULl2aiIgIypYtm+8bDSXQVSxatIjjx49rCTJiA3H8+HHNRrNK3MquQPfbb7/FYDDQq1evDKuhQ1rCm7yZkZN9PD098fT0pGbNmgCMGDECe3t7/P39CQwM5OLFixw9epS7d+9qwXrrTrpyQpB4Te6aK7pKODo6KjsvAojndPDgQfz8/ChVqlSebnjNZrOWrCbbhJubGwDJyckZCrkeVJhrNpvZtm0bkyZN0uw0ICCAoKCgLMW5cD9Jafjw4dr5lNOn8LAez+Sxo379+gA8/vjjAERHRxMdHU1ISAgHDx4kIiKCAwcOkJSUREJCgvZ+yFi8KILZ4jjr5y4XIrh9+zZ79+7lmWeeoUSJEnn6uRWPDsIGZVsXY47oJuni4qLZefv27bl165aWKCHPu48//jhXrlwhISGB+Ph43TwtEpTloiHiWvK/hbDNlmBXfE9iYmIwm83s3r0bgB49eihhbgFT0B1zrcW51oLwvOxkW7FiRdq3b8/Jkyd1CR5wX5z7yy+/8NZbbynHdzHEYDBw6dIldu7cqf1f8Mwzz1C7du0cnU+Mn15eXpQsWVI3bgHa3FxUbEUW6M6fP5/hw4dTvnx5lcxWgMjC3P79+xMTE4PBYODo0aPanFkQAl2xx7AW5sq+AiXMVQjEM2/bti3ff/+9LqkS7ne/y61vJScCXXHNU6dOkZSUhJOTk83uuoqHg5SUFIYMGaIVHYT7Y9aoUaNYunQp3t7eeeon8fLyokuXLvz333+YTCZdB7sTJ07w7bff8uqrrz6wMNf6u2J9vnLlylGuXDmWLFnChQsX+PXXX/nrr7+4c+eONi7LHXOVMLfwyI4wd8KECYwaNUr3vtzYrLCPNm3a4OXlxYYNG/j111+Ji4vT5nw5eWfXrl2UKFGCadOm4enpmeH8nVOBblBQECNHjqRkyZKcPXtWCXOLAeKZLFmyhMOHD3P48GHtZ/K+5eDBg1gsFho1akStWrUYN24cHh4eeepnkW3fOj6ZmppKjRo1WLt2LQMHDtQJdOXkOVmg++KLLyqB7kOAiN/88ccfgN5OUlNTdYKagn7OYoysVKmStn9OSEjQjbsWi4VDhw4RERFBmTJlsrTHzAS6Yu7o1q0bn376KaDGUIXiUcU6LiJjvX8ojHnQ2dkZNzc3QkNDtXuwt7cnOTmZqKgonTjXGrFmLVGihBZv6tSpEwDx8fEEBwcTHx/P0aNHiYiI4OLFi1y9epWkpCQSExMB6Nixo1prFgM8PT3x8fHhypUr2twp1nRLliyhRo0adOzYUTs+JSUFo9Goi1eeP3+eVatWcfz4cYKDg7XzyMV/xVpSzKNPPvkkTz/9NN26dcPV1VU7v2wr4nvj6+vL5MmTMRgMrFixQvMFCLves2cPf/zxh+4+FQqFQqF41MmOQNdsNhdrga7RaKRTp04q/6iYoQS6CoVCoVAoFJlTpLNKsivMFf9OSkriiy++ID4+nl69euHj45Pv96gEuo82cgVIWbhw/fp17t27p3NGZ0ZedNDNDOsK6jIODg7Y2dnRtGlTmjZtCtwXP969e5cTJ05w584dDhw4QGhoKNeuXSMiIkL7Dsr34ODgQFJSkkpeK4IYDAZCQkKYP38+L774In379sXd3T3PNrxJSUnExcVpYi5BVgL13CZZykLaVatWaUkU4vWkpCQ2btxIixYtcHBwyPIzyvenkowKBjH33bt3Dzs7O5tiL1tzoxhv3N3d8fDwoHr16rRr1w6AyMhI7t69y6FDhwgKCuLixYucP38ek8nEnTt3MhQvynYrJ53LthAeHs63336L0Wjk6aefVgJdRZ4h7Mx6frZYLDg6OtKgQQM2bdqUbmx6+umnmTdvHqGhoRw/fpzbt29z5MgRbt++TVhYGCaTKV2XaEBn87Lo0rrTrvi/WIvA/YIkTz/9dP78IhQ2KWhhLqAFP2JiYgB0tmAymahcubL2+oPMmeJe+/Xrx86dOzl16pT2MxG8+e2333jmmWe0juqK4oGwjfDwcOzs7DAajVrSj8ViwdfXF8h5F0aLxULp0qVp3Lgxly9fBtLsUuy5RAAS0hdzKejgiSzQXb16tXZfKpBTMBiNRkJCQujVqxdxcXE4ODhoid0nTpxg2bJlQN4KdMU+RQh0LRYL77//PoGBgapjriJHuLm5YTQaSU5O1q0VL126xJUrV6hevXqu5uDsCHTlYi0XL17kpZde4ocffsDV1VX5dx5CrIW5wgfj6OjI+fPn6dGjB3/++We2fZtZIezrhRdeYOvWrezatUsnSDQYDBw/fpyoqCg8PT11a4UHEebKyN8di8WCq6srLVq0oEWLFnTt2pUzZ86wcOFCateuzerVq5Vvs5DJjjB38uTJDB8+HHjwPYq8JqhTpw5Dhw7F1dWV9evXp5vzxVrvjz/+oHTp0nzwwQeZ+upz00EX0vbkSphbdImLi2PPnj1s2rSJffv2ac/C2ucIafuXs2fP4u/vz/Hjx+nWrRsdO3akSpUq+ZacJu5J2G316tVZt24dAwYMUB10HxHE2vLOnTtAWrFKUWz16aefzlG8MT/uz2w24+fnxxtvvMH8+fN1a2F7e3tiY2P55ptvmDNnTrYSd60FugaDQYvdd+nSRQlzFYpHHHlOS0lJITAwkNDQUK5cuYLFYqFkyZLUrl0bd3d3ateurR1bUHk94jrVq1fn4sWL2vycmppKfHw8x44do0GDBhm+39Y9inO6urpqBZEfe+wxAK3wcVRUlLYGUH6qoo94Nq+88goXLlwgKipKi/sJv+M777xDREQErVu3pm7durp4/I4dOzh9+jRr1qzRuiiLPQekxYbEuezs7PDx8aF79+6MHDkSJycnzTZtFSe2XjcOHTqUS5cusXfvXm3vI94fHBycr78rhUKhUCiKI7npoDtgwADWrl1LnTp1ipxAV86BPnfuHN9//z13796lX79+Kne+mPEwC3SHDx/Od999R4sWLZQvVKFQKBQKRa4ospklGSWjiyQM68WPqBYZHx/PihUrMBqN9OjRQwl0FflK/fr1cXZ21hzWcF/sevfuXW7cuEGdOnWyvVDP6w662cXa9kRScalSpTTRW+fOnbGzsyM0NJSQkBCCg4PZu3cvt2/f5vTp01gsFpKSkqhfv74S5hYxhH1cuXKFc+fOcffuXezs7HjppZfyVKArkuLk8yUlJQG2ReF50f3k3r17BAUFAeDk5ERSUpJ2zpCQEOzt7dUmuQgi5surV68yefJkRo0aRbt27bLVjdG60IBsR56ennh5eemEY7du3SI6OpqjR48SGRnJ/v37iYyMJDQ0FEizW+FwEQnBctco8dqlS5f4+uuvMRgMtG/fXgl0FfmKsOvSpUsDaF1FxRo4NDQUT09PPD09adiwIXB/zLWzsyMwMJArV65w48YNDh48SHx8PIGBgdy9e1c3VovryMFzuZO0nPC8aNEizeGvHJAFQ2EIc4VdREREEBoaqhPpCFto1qwZ8ODFLMS9lihRgjp16nDq1CldkhHArVu3OH/+PH5+fioJqBhy8eJFXWEMsW/x8vLK1fmEzTk5OWmvifM/8cQTgL6zs2wv1uuGgrInsZcT9yXWFYr8JyUlhRUrVhAXFwegFZ6QxQb5LdBdu3Ytd+7c4b///lPCXEWOqFOnDg0bNuTEiRPamGWxWEhOTiYsLIwaNWrk+tzZ7aArbDkgIID+/fsrge5DiC1hrkjgFWNVq1at8kyYC2lzuaOjIw0bNmTXrl3pujbv2bOHgwcP0rFjxzwX5mZ0P+J9QqT7zDPP4OPjg6Ojo7L5QsRWTAjQ7VOnTJmixWLyag6V1wKVK1emf//+lCpVim+//VbrYC5/X0wmE+vWrcPX15dRo0bp9lDW5ESgKxDfDyXMLZrcunWLr7/+mt27d3P9+nXNbyP20HIxNEjz7cB9W7527RorVqzgyJEjvPXWWzRq1CjffS5iPVytWrV0Al3r5DnVQffh4sqVK0RFRem61ojxtFq1aoDtOE5BIa7dunVr6tWrp/mJhHAc4OrVq8TExODt7Z0tW5QFukOHDiUhIYHExEQmT54MqDFUoXgUEWOHHJ8+cuQIO3futHm8i4sL//d//0eLFi3o0qVLnu6PMkPsa2rVqsW2bdt0a8LU1FSio6NzfU4Z8fuwt7fX4k01a9bUfq7GyaKNeDZVqlShXr167Nu3T5s7xV7WZDIxZ84cfH198fPzw9PTk5iYGCIiIjhy5IiuK7NcuFde9wmxwoABA2jXrp3mixdkdx/u4+ND48aN2bt3r84XALB161ZGjBiBvb29sjmFQqFQKCRyKtCNj4/XOugWRYGuWHeYTCbOnTtH27ZtVc58MSUrga5sn0VdoCu6UAsNwKBBg9i2bZvmL1MoFAqFQqHICUUyuyQrYa5wKlo7C0XyWHx8vJZoqQS6ivzCYrHg7u5O6dKlCQsL02wgJSWFlJQUTp8+TZ06dXK0kchJB10gzwS6MrbsUHyGcuXKUb58eVq1akXv3r0BCAgIICYmhqNHjzJ8+HAlzC1iCLs4duwYANeuXeOHH34AyJFAN7NjnJ2d8fLy4urVq7qKqgEBAfj7+9OwYcN0xRQeVJgL94OiTz31FOvXr9cJc+3s7Dh//jyBgYHUqFFDJQwVIcRYFRwczJAhQ7h16xafffYZDg4OPPHEE9kS6MrIz9Z6nrVYLJQtW5ayZctSp04dAF555RWMRiNnzpwhICCAS5cucfToURITE7l+/bpmf+J8soDHaDQSEBDAkiVLAJRA9yFGjFFFIeGwRo0auLi4aM5LwZ49e3jttdcoWbKkrouEnZ0dtWvXpnbt2gCMHDkSgMDAQKKjo7ly5Qpnzpzhzp07nDp1isTERGJjYwF9t3PRUQOUMLcwKAxhLqSNqYcOHSIkJER7TfwpW7asLjnnQRGd2UaPHs2///5LZGSkNn7b2dmRkpLC4sWLeeqppyhfvnyeXVeRv8hjEqSJvsUYIzr15HTvK4KKERER2nXMZjMlSpSgVq1ahIeHExISwp49e4iIiCAwMBB3d3fc3NyoWrUqrVu3pmrVqnh7exdogk9m3QIU+YeDgwMvvfQSiYmJbN++ncTERJ3PJj876MrJb1u3btXuRwlzFdnFwcFB26eDvmjKxYsXadOmzQP5ELPbQVcJdB9eTCZThsJckSDTq1cvZs6cCeRtdygxzo4YMYK///6bCxcu6Pz7JpOJ5cuX07x5c3x8fPJNmCsjv89isVCpUiXtnMrWCwdb+yDQz6H5Icy1ha+vL126dCEpKYmVK1cSGxtrsyjHypUrqVq1Ks8//3yma4nsCHSFX0p8N0RnSyXMLVrcvHmTadOmcfz4cRITE7V9s9wtV/YvQdozFa8bjUbi4uI4ePAg77zzDp988gnNmjUrdIFuRh10lUC3eBMVFZWu+LXRaMTFxaVAYujZpW7dunTt2pVTp05hMpl08aaLFy+yY8cOBg4cmG0blAW6r7/+eroYgkKheHQQ3/uEhASOHj3KunXr2L17t66IkHVxt8TERLZu3cr27dtZt24dU6ZMoV69enh6ehbIPXt4eABp/lXB8ePHdWvk3CLH1W2hxsmCQdim8LfkdI4qX748I0aMYP/+/do5RAcwsV8JDQ3VClfLiPWAXERGXsuWKFECX19fPvjgA5o0aaIVzszpPYq1R8+ePfnhhx+Ijo7WfE8Ad+/eVYUtFQqFQqHIgIdJoAtpxQi7dOnC+PHjC+y+FHnPw9RBF9By5J577jklzFUoFAqFQpFrilyGSWbCXNBXR2/RogWHDx/WORaVQFdRUBgMBipWrEiDBg0ICwvTAiMiYUYkjueUoiDQtUacV2yIzGazlnBSq1Yt4P73EVCJmkUMsbm8fPmyNr5cv349S4GuGI8SExNxcXHJdFNsMBioVKkSR44c0XV4SExMJDg4WFf1P6+EuYIWLVpQp04dAgICtGuLc8TExKhEoSKEeI7BwcH079+f27dv4+zszNWrV5kxYwbTpk3LlUDXGuvuujJOTk66jjhw37kSHx/P8ePHiY6O5tChQwQGBnLu3Dns7Ox046sS6D58FPWEQl9fX9zd3QkLCwPSui4mJCRoc7HAepyUhebVq1cHoHnz5loCcHh4OGazmTNnzhAYGMi1a9c4fvw4SUlJ2vUWLlyohLkFTGEJcwWBgYGsXr0aQEviEPfVpEmTPBXnCnGlt7c3L774IuvWrdOq/4s9XWxsLDt27GDo0KEqOaOYYf2sxH7m+vXrQM5FNGJ9IPZYYr3p5eXFwYMH+fbbb4mNjeXu3bs23//ll1/SpEkT2rZty6hRo3TiYTW2PZw0aNCAYcOGkZqayt9//13gAl05kU38X/ZnKWGuwhbCFlq1asWuXbvSdQs7efIkkPMCB9Yoge6ji62OudZdcvJLmAtp6z9nZ2eeeeYZAgICNDGbsPOwsDCio6PZvn17vgtzbd2fQPnoCwdb+yBZvA0FJ8wVlC1blm7dunH37l1++OEHEhISdOPk/2PvvMOjKr4//G7KJiE9BAglhBYIXRGUIoJKVQQRpYUgTVFBpCnWL6BYEJGiggiIdESqYkUEpDcJPRBqQggphDRSd7O/P/jNzb2bTUjZVOZ9Hh/DZvfe2ezZmTNnzuccuFuAZtu2bTRr1uyehYUK0kFXCnPLJuHh4YwdO5bz588D2UWtxM/iMxZ7WGEnwgc1F+maTCauXr3K//73P2bOnEnTpk2L/T0UVqDbs2dPKdAtp6SlpSn2KdZ8nU6Hq6trmRHnijE9//zz/P333xw4cCDHfBgWFqZ5bn4Q86qYN2V8SSK5/xC+061bt1i2bBn//PMPly9fVuZFk8mkJGJDdtxRrIVwtyD1lClT6Nu3L88++yz169cv9nE3b94cJycnMjIyMBqNypmPKBov57Lyj7qo9dy5cxk7diz16tUrsK/VoUMHPv30U95++22NQFf4nub+m7Bxdc6P2m81mUw0adKEHj168NRTT1GrVi2NSLygtqeOQ6nvLzo337lzh9u3b+Pj41Og60okEolEcr+QH4GuaChUlgW69vb2Ms5ZwagoAl3hP0vblEgkEolEUlTKlPeQVzI65KyOvmLFCkaOHAlkCwLVyWNCoLt582aioqJK5D2YC3T79++Pn5+f8v5EcNNcoHvz5k1NgF9S9hEHIFWqVAGyuyyKhJmDBw+SkZGhPK8gCIFuv379cHd3x2g0ag6QxSH0d999x4YNG5T7F+ZehUG8V0vIBM2yhU6nIzw8nKNHj2qSLoRAd8OGDYqIVRyEqEWU48ePZ9u2bcq1zKvzCpurVasWcPegUiSeZ2VlsWDBAiIiIpR5z5rCXAA3Nzc8PDyU10K2eCM3cYakdLC1teXKlSuKMNfe3p709HTs7OwIDw9nxowZ7N+/XynGUVxjADS2rtfr8fLyokuXLrzwwgt8+umnfPPNN7Rp00Y5tFTPr2qB7q5du6SdlWPEfJiamsrNmzdZvXo1X3/9NZMnT2by5MlMnz6dLVu28O+//2oSH0rKVxNzpoeHB5C99up0OiIjIxVxRm5YSs5Qz+FVq1alevXqdO3aldGjR/Ppp5+ydetWfvnlFxYvXszmzZvp3r278jqZdFn85FWkqCSEuWlpaezevZurV68C2baelZVFrVq1GDFihPJva2FjY4Ner+fRRx/VCNqESCM9PZ1//vlHmYslZR8xz1SuXBnIXnuFr7Zjxw6io6MLdQC4fft2QkNDNa+NjIzk008/5ebNm2RkZCh+qCiwodPpFN8wODiY+fPn8/rrr7Nz507S09Mt+reSikNAQACjRo2ia9euODk5KWur+iDwv//+Y8mSJezatQuwvOfJDV9fX4v7dkvX0Ol0Sjxr6tSpUpgrsYiwBX9/f0XYLbC1teX27dtWu5e5QHfIkCE0bNgQyPZDLQl0k5OTNfFZSfkhN2GumA+LW5grEPuUrl27KrYkbN/W1pZbt27x8ssv88knnwAlJ8yVlD6W9kGlLcwV1KxZk759+9KpUyf0er1mTyRiRrt27eL48ePK2PJCHWfq378/QUFBSgFMMQdLYW7ZJDw8nGHDhnH+/HklDg7Zn6lYOytXroy3tzcBAQFUrVoVJycnRWyemzDwypUrzJkzh0uXLpXIezEX6Hp6eipJnGJPLubY//77j5UrV/L7778DBfOZJaWL+JwSEhI0onC4e66ekpKiEaSVJurulQEBAUD2eZOYD//++29u3bpV4Dil+vkyximR3F8I3+nmzZt88MEHrFu3ThHmivVOLRQ0L2StXhNjY2NZu3YtCxcuJCQkpNjH7uLiohFMwt39UXx8fInlPkmKD7Uwd8CAAfz222/MnDmTq1evFsjXEs979tlnmTZtGoCmcKC4l1hLxc9qn0Cdp1atWjX69evHokWLGDZsmCLMLer6qdPp8Pb2xtvbW3Nen5mZSVpamsyTk0gkEkmFJysrS1MIo6BxFbV/0LVrV4YOHUqbNm0ANOeTBoNBI9AVMaySXmvNBbp+fn5kZmbSt29fGeesYJgLdPV6vRJjBO05zv79+1mxYkWhzuWLivpejz32GEOHDlWEugaDgT59+kjblEgkEolEUmTKjAdxr465uSVhvPHGG0qiuFqgK36WAl1JcSEC0I8//jh2dnaaA2KApKQkoOCVIwX5FeguXryYjRs3KvcqKYGupPwQGxurzJ9i/slNoCsEQOHh4fTv35/du3ezdu1a/vrrL+X1liqjdu/eHXd3d+U+Yn6Liorizz//VLpKACxdutQqwlwxn4rK7urOzgBOTk7W+QNKrEJmZibffPMNt27d0iQCi2TvkhLoAprDRnPs7e2pXr06s2bNyiHQFbYvBboVh9DQUCZPnszIkSP56KOP+Prrr/n111/Ztm0b69at4+233+bll1/m5ZdfZv78+cTHx5dY8reNjQ1ubm40btxYeUwdpBfdIwuCpUQ0tVjdwcEBV1dXOnbsqNxXCnNLBvVeKDAwMEeRInFwsXHjRqsLc8W6eerUKX744QeSk5MVOxf/b9SoEb6+vkB2xxFrBsk7d+5Mv379NOMRVdMPHz6sdLaUlH3EfNGyZUucnJzIzMxUHrOzsyMmJob169eTmppaoOumpqayZ88eUlNTlf2y8F2FqEc8LgoqCDsVyUiiiNDOnTuZP38+P/74IykpKTKxvILTqFEjRo4caVGgK/bPRRHo5rZvV3dPU8+Zn3/+OYMGDVLsVB7sScwxmUz4+fnh6empEf0YjUbOnDljVcGOWqDbu3dvAgMDNQLd3DroSoFu+cOSMFddqKCkhLkCk8lEQEAAw4YNU+ZkyLa72NhYQApz7ycsnQkJ/620hbmC+vXrM2TIEOrVqwdoC8DZ2dmRkZHBrFmziIiIyNfY8hLoqjtZSWFu2SEsLIzBgwcTERGhzKWAUkwLoE2bNowcOZK1a9eyceNGNm7cyI8//sjq1asJCgqiRYsWyrxmHqMRhWM2b97MnTt3SuQ95SbQFXsnKdAt/wg7E53q1J+bKARQluJ+Ig45aNAg3NzcFFG7+M5kZGSQnp5e2sOUSCTlBOE7Xb9+nVdeeYV//vmH5ORkTadQyD7rVsdv1MVSxbVsbW1JTk5mx44drFy5UunmXRyYTCY8PT2pUaOG5ozSYDCQkJDAuXPniu3ekuJHLcwdPHgwt2/fxtbWlv379zNjxowCCXTV6/jAgQOZM2cOXl5eSrEfsdaLfCZ1nFw8R6y/I0eOZMaMGXz88cdUqVIFvV6f4x5F4datWyQmJir3Uxe6kft7iUQikVQ0zPN31eudeh1UxwHvRX4EuoBGoDtkyBAuXLhQ6gLd1atXM3z4cCW+L+OcpYfa1sztrrAC8twEusLvFPspKFsC3SFDhtC0aVOefvppZs6cqYxV2qZEIpFIJJLCUiZaXN6rY676cFudhCE63k2cOBG424lRiHKNRmOODroAffv2VYRcxYm5QBdg/fr1XLt2TePAmQt058+fj4+Pj0wwKgeITbK3t7dG+Cj+HxERwcWLF2nSpEmh7yESfXU6HRs3blREQepEYtFB12Qy8fzzzyuPy02CRKDT6ahfvz6nT5/OMbcIgS7cnR+9vLwUYVB8fDw2Njb8999/AGRkZNCrV68cBzDigLBOnTqcOHFCk9yZnJzM5s2bady4Me3ateP7779n1qxZQNGTLIWNu7i4aAJX5t9HSdnA3t6eUaNGkZKSwj///AOgzGfmAt3333+f9u3bK1XUSgMfHx+++OILJk+ezJEjRzRJl+IgXAh04a6wrFKlSqU2XknBuHjxIrt27WLx4sUkJCQoj4vAoLrgi9FoZN++fezbt4/ff/+dCRMm0KpVK6pWrVoiY3V2dgbQJIVkZWVx9uxZoOhJ6XmJ1dW/lxQvNjY23Lhxg/79+5OQkKAEq9VBaG9v7xz2UFSE/YSHh/P+++8TFRWl7KVsbGwwGAy4uLjw+uuv4+npqbwuN7tQ+6gF9UUffPBBtm7dqkkGEe+zuIs2SKxLVlYWlStXplGjRgQHByu+ofAP//77b5o0acKjjz6KXq/PVxGAH3/8kfXr1wPZ/gNkH+pZOuAU9q0W6YqxnDt3jjt37pCWlkZQUJAs6lLBEQJduNuBOTU1VVP4Si3Qhbt+nZiD8rMOin07wMaNG0lISFDs1Hy+vnjxIkCpHIJLygc6nY5atWrRoEEDjhw5ksMWC1rcID/3M5lMODo60qdPH3Q6HatWreLChQuadd1coLt27VpcXFwUv1lSdsmtY67w+UpamAvaYh6Ojo6kpaUptqZe06Uw9/5AJKSbC3PFfgRgypQppSrMFbRq1YpXXnmF8ePHK/OfwWBQ5shbt26xbds2Xn755Vy7o6pR75369+8PwOrVqzl//jxGo5E+ffrIpKAygvrsUsyfoD27DAwMZODAgTRo0EDjQ1avXp3q1atTv3594uPjmT17Nj///DOgTQizsbEhJSWFv/76i2effZYGDRqUyHxnLtAVAhHxfVQXcxDnBDqdju7du8uYUTmiSpUqmuKTQphrNBqJj4/H09OzTBToE0J1V1dX3NzcSExMVMat0+mIjY3lypUr1KhRo1THKZFIyj7CdwoPD2fEiBGEh4drYkGiaBrc7dhduXJlnJycSEhIIDk5WSnKK8SN6iJrqampbN++nRo1avDiiy/i4uJi9fHrdDrc3d2pUaMGoaGhyuPCD7l165YyvtKeuyUFQ9jgtWvXGDRoEHFxcUpunNFo5NChQ8pZeZ06dQr8Gffs2ZMaNWrw+++/s337diIiIgA0BdbUeXg1a9akZ8+ePProo7Ru3Vp5TnH4oVevXiUqKkrjj9jZ2VGnTh18fHysei+JRCKRSEoa89id8CcPHjxIdHQ08fHx3Lx5E3d3dxwcHPD398fHxwc/Pz88PDxy5JLnhvrMqGvXrsrjR44cUdZvo9GodC5NSkoiMDCQ1atX07BhwxKPrYv4qbe3N1OmTAFknLOkUefeqIsUASQmJiodl+3s7NDr9Tg5ORVqj2Eu0A0KCiIjI0PxddUxxv379yuvK+i5fFFR3+uxxx6jatWqBAQEANI2JRKJRCKRFJ1Sz57Kq2Puvaqji42CnZ0dkyZNArQCXXVihBToSoqLgIAAmjZtSkhIiCZpLCkpiZs3bxZJnAt3E30HDRoEkKdAd/HixQBSoCvJwQMPPMArr7zCypUrOXToUK4CXWdnZ5o3b87o0aOJjY3F3t5esedjx47h4uJC586dcxwy6nQ6vLy8GDBgACdOnFC6l4nfhYaGMn/+fHbt2sXy5csB63Q/ycrKIj09ndDQUE3Su52dHdWqVaNu3bpF/ttJrEtAQAATJkzAaDSye/duTWCwLAp0q1WrZlGgK+ZXKdAtP6iDeHv27GH16tUcOnSI1NRUTVKlpcNpkbBha2vLtWvX+PDDD3nmmWd44YUXaNCgQbGPuXHjxkrCnPBtAc6fPw/kLqqVlD927twJoHQCMe/YfeHCBYYPH878+fOpXr16kfcKYs8UFxfH6NGjuXbtmkakIebljz/+GG9vb44ePcr58+dJSkpSuuw5OTnh4uJCgwYNcHR0xMvLC3d39xw+qBBH5uWbPvfcc2zcuDFHR7enn36aV199tdDvU1Ly2NjY4OLiQo8ePQgODtb4hgAhISEsXLiQlJQUxbcU9igEYGL9T09PZ+3atXz22WcAynNElz2DwYCDgwM1atSgdu3aSiJveno6wcHB6HQ60tPTFds230Nt3rwZb29vnnnmmVL1OSTFT14CXbXYoCgCXfW+XS3QhWzB+HfffUdKSgrvv/++cl+5lkvUCJuoWbOmsgcRRTNSUlL477//aNasmVUPqdUC3d69e2MymVi9erUU6FYADAaDRWFuaXXMNeeJJ57giSee4Ndff1XmS3XnHCnMrfiEh4fTp08fUlNTlSQdMScJm3jrrbcYPnw4ULqfv5h3e/TooZzhCD9X7J9MJhO7d+9m1KhR+R6nJYHuvHnzaNeunRTmlhHyU1R4zJgxvPLKK8qewtI67eDgQLVq1fj888/x8vLihx9+ALL9RHHNsLAwPvvsM5YsWVJi9l5Qga5OpyMtLY1nn322RMYnKTrirEcUOVV3Xzx9+jR169YtM+IuW1tbPD09adu2LRs2bACyi9SZTCYlwVkikUhyQ92VNDAwkJiYGCU2KNZvsS7379+fNm3aKMnYCQkJJCUlsWrVKk6ePMmZM2eUvbDaB0hMTGTdunU8+eSTBAQEWN1fE9dzdXUFsvdJIs5+6NAhXnjhBU3OlKR8oNPpSEhI4NVXXyUuLk5zRqnT6cjMzCy0QFc8r2XLljRu3JiRI0fy119/ERYWxvXr17lz5w62trb4+vpSo0YNGjduzIMPPmhRYG5NuxLfPVGETu1HGwwGPDw8rHYviUQikUhKC+ELhoSEcPr0adavX8+tW7eUQhm50ahRIwICAnjyySdp3bo1Xl5e97xXeRToqpFxzpJDvU/R6XSEhIQQGhrKrl27iI6O5sKFC5oCRm5ubjRp0oSqVavSp08f3N3d8fPzU653L9vJS6BrHmMsKwJdsRfMT7FNiUQikUgkkntRqplT9xLm5tYx11Jw29bWtsIIdMePH8/cuXPx8fGR1S7LASJp8syZM8pnJWwvLCwMKHrVUinQlRQWYXtdunRR/n348GGLAt1FixaRmJjInTt3lEQj0W3M09OTSZMmWTycUVeT6tChA/v27dNUPLWxseH48eMcP34csI4wV70hjouL0zxmMBioVq1avgJWkpLH39+fyZMnA5Rbga66Wr8U6JZ91Gvwtm3b+Oqrr7h+/brG9kDbCVTduUQkBIvnx8XFsWHDBmJiYnj55ZeVQJ21EeOpVasWoBUOC79WCiEqFgMGDCAjI4N169Zp9gpizbSxseHUqVO88cYbRS7mI2wnISGBoKAgLl++rBHmCpydnVm/fj0ffPABycnJObqTCvR6PTqdDj8/P/z8/PD19aVjx464u7vTpEkTTYd78Z1U+6nifQwePJhLly6RkpJCVlYWvXv35vPPPwdkQnp5QnzGvXv3Zs+ePezbt0/5/IQdnDp1iq+//pojR44watQofH19AZTiFwC7du3i33//Zc2aNUC2Dwl37aFOnTo0b96cIUOGULNmTby9vTXjOHXqFGfPnmXlypVKt1LI9k+zsrK4cuUKmzZtomXLltSvX18Kfio4uQl01fvqogh0fX19cxXoqhM5V61aBSAFuhKLCFvo3LkzW7ZsyeGTijiTtWOFsoNuxSO3jrllRZgr7OqZZ55h//79JCQkKInm4vcmk4kBAwYwffr0UhmjpHgxGo38/fffSkdw827zgvT0dOX3pfn5q32CHj16sH//fo4ePaopRKTT6fjvv//46aefGDhwYL6vbS7Q9fPz45FHHgHkPqi0yY8wd9KkSbz00kua1+W2Tot57O233yYlJYX169dr1llh5+fOneP48eM8+OCDJXZGqBborl69msDAwBwCXfHzsWPHaN++fbGPSWI9GjZsSPXq1YmJidGIwU0mE5cvXwbK3nzj7u4OZK8P4nuXlpZWmsOSSCRlHEv5R+bCXHd3dwIDA+ncuTMtWrTQvNbb25uqVavyzjvvcP78eb7//nt+//135cxcFP+zs7MjJiaG6dOns2zZMhwdHa36PsR8/OCDD/Lbb78p8XQRG7h9+zYgi7eWV9zd3enUqRNJSUnExMQAaM6eCyvQVf/e3t6eKlWqEBgYCKCs/yaTKUf8pjh9AHUcYseOHYrPK/IBjUYjTzzxRLGPQyKRSCSS4kCsXZmZmcTExPD999+ze/duwsPDleeofVHxGrEOZmRkEBoayvnz5/nnn3/w8vIiMDCQ7t273zOvPb8CXYPBUCYEupKSxbxL7qZNmwgODmbjxo0af0z8387OjszMTJKSkhRB+ZYtW3BwcGDYsGE8+OCDtGnTJl82cy+Brto+S1ugm9e/JRKJRCKRSApDqUW2RMLC1atXGTJkiOZwu6DCXIEQ6I4YMQJAkxhmLtDdvHkzUVFRxf9GySnQFQkW4v2oKxXb2dkRHBxMYGAg8fHx0ukr44gDkJYtWwLZByAiuH3kyBHAOs67EOj269cPDw8PpXOK+C6ZTCZFoCuqSQvbk9y/qAVmXbp0YejQoTz88MPAXTsV849OpyMyMlKpmKoucODt7c3y5ctp2LChRXsS9u3t7U3Hjh2Vx8RBoVqoq+5+UZTuJ+Kea9as4dKlS0oCnI2NDfb29nTr1g1A2n8ZRQh0O3XqBGg/e3OB7v79+8nMzCzN4SoC3TZt2mi+N+qOlkKgu2vXLlm9vwyhDtqtX7+ed999l2vXrik2J/wz9byk/tnW1lYTsBR+6J07d9i5cydr167l+vXrxfoePD09cXR01IjaDAYDly5dUrrnSso/IqFn6NChue4V1MV8xo0bx82bNzUC8/yiFuYKMaxamCvuZ2NjQ0JCAvv27SMxMRGTyYS9vb0SnLe3t8fGxkb5Lolu9tu3b+f7779n9OjRDBw4kKFDhzJx4kR+/vlngoODSUpKArQVUcUa0Lx5cxwdHTEYDDz77LNSmFtOEXOVl5cXHTt2VESzYo4VNnb16lV+/PFH+vXrx5gxY/j8889ZsGABM2bMICgoiEmTJuUQ5oo5um3btsycOZP//e9/tGzZksqVKwNovg/NmzdnwIABrFu3jj59+uDp6Qlk+4fCpo4ePap0rZKHkBUfIdDt2rUrTk5Oyjwr1n21QHfXrl2Adk91L4RAt1+/fri7uyv7dtHVWcSoVq1axYwZMwAKNZdLKj7m85qYs4QvWxx7XfMOukOGDKFhw4aAdi02F+gmJydrughJSp+yLsyFbJtu1aoV1atXV/Zm6jiVs7Mz48ePV96TXKcrFra2tnTr1o033niDSpUqaYoEqvfh8+bN44svvsj3WlycCD+3Xr16inhWrPPqefnChQsFvrY6ji+FuWUDS0WFQSvMnTJliiLMzY+Nqv2+Dz/8kE6dOmn2SaIL861btzh27BhQsolhYnz16tVjzZo1eHp6Kl1W1B1+e/XqxZgxY0psXJKi4+rqqsRbAM05zS+//EJMTEyZmW/EXFinTh0AxT8Q9ifFuRKJJDdyawygFuZWrlyZmTNnMmLECEWYqz7rEzkXer2e5s2bM23aNPr27Qugyc0Q++KrV69y4sQJ5f7WpnLlykqhLIGNjQ0RERGKQFdSvhB2MmXKFPr376+JWQu/z1yge/Xq1QLFJ8U1QGvftra2GmGu+nfFhRj3d999x6lTp5R9vU6nw2AwYDKZaNasWbGPQyKRSCQSayN8z9u3b7N+/XomTZrEqlWrlPwhdc66yWTCYDBgMBgU3040rxL/paamcu3aNX7//Xf0en2+xqD2D7p27crQoUNp06aNcl8RazXvoHvhwgV5NlmBEX7lnTt3OHDgAK+99hrvvvsu69evV/YxIqatzkETMXmh3UhLSyMuLo4vv/ySF198USlunR/MBbp6vV6xQzFG4Rfu37+fFStWFOpcXiKRSCQSiaSsUWrRLZ1OR3x8PMOHDycmJgZHR0cyMzOVRKGCCnMFlgS6YqNhLtDdtGlTmRLoikRQuCv29PDwKJGxSQqPsEdxeGOeiBgfH2/V+xVEoLtx40ZljFKgeH+TH4GuGnVlN29vb5YsWaIIc3Obg8X1hw0bRpcuXTSiB/WGWS16e+GFFwolzBXcuHGDo0ePKtcVXXNtbW1p3bq1cn9J2cSSQNc82VsKdCVFQS3MXb16Nf/73//IyMjQiAlFENzBwYGaNWvSsWNHOnfuTLNmzfD09FQOhtXzn5hvUlNT+eOPP/jzzz+VDiLFgb+/P7Vq1dIcpIskkeTk5GK5p6R4Ebai/n9+i/kUVaCbH2GumNfMi2uI11s6PBLBevE8sZ/LyMjg6NGj/Pbbb0yZMoWBAwcycOBAxowZw/z58zl06BAhISHK+OrUqcOQIUPo1asXn332mebvIylfCPsJCgqiR48emjlUIITeiYmJ7Nixg++//5758+ezatUqjhw5onRRU8/ZWVlZPPHEEyxcuJCWLVvi6uqqXEs8V43RaMTFxYXp06czYMAApcqwWqQEsGHDBrZv316MfxFJWSI3ga6Yh4tLoAvaInJSoCvJi5YtW9KsWTNlfhN+w9mzZ4mPjy+2tfFeAl0xHinQLbsYDAaLwlwhqioLwlxBVlYWbm5uvPbaaxrBkODOnTssXryYtLQ0JWlDUrGoWbMmffv2ZeTIkYpAVxRlEQWMAJYsWcLcuXPLRIxb+AMjR45UukyAVkD5yy+/cOXKlQJf23xul/ug0sOSMNdSUeHhw4cD2jXyXqj9vsGDB+Pt7a2JoQu73717N3fu3Clxu1d30FULdIWf3Lt3b7744gtAFsYsL2RlZeHk5ESnTp0UOxaicFtbWxISEpROJWVhTyK+S7nNic7OziU+JolEUvbJTZgrzo1FMeqFCxfSuXNnXFxclNfm1THJ3d2dsWPH0qFDB+U+6lj57du32bt3L1A8vlv9+vVxcnLCzs5OU1ghMjKyxPKcJNZFnbvz+uuvM3jw4GIT6IrrqP9v6XfFTUhICAcOHABy+o99+vThgQceKJFxSCQSiURiLYTvGRkZybvvvsuCBQs4fvy4Rtxo3jBF3XREHQcS+3CDwYCXlxe9evVSzr/zQ34EuoAU6N4nCNuMjo5m3rx5fPzxx/zzzz8a2xN5PsIvEzEi9c/i9yJO6evry4MPPligseQl0BX3kAJdiUQikUgkFY1SPd23s7OjW7duODs7k5aWhp2dnSaRq6DCXEFuHXTNBbpLly4tMx10IVu01rt3b7788kvlMUnZxmQy4eXlhbu7O6A9eDl58iSXL1+2apJCfgW63333neygK1EwF+gGBgYqB4kiOVP9PKPRiLOzM/PmzSMgIACDwZDnHKyuXC46mJl3JRPPA/Dz8+Ojjz4CID09vVCJoBs3bmTnzp2ANqnppZdeUiqsSso2FUWgq7Z1KdAtG6iFucuXL1fmG5HAIBLUa9SoweOPP86qVav48ccfWbx4Md9++y1r1qzhl19+4fXXX1fE/urKkurktZUrVxIVFVUsa624noODgybhV6fTkZGRwcmTJzXPk5R9xJ7m+vXrfP3119y6dUvjxxWnQDcvYS5okzTEXKx+TC1+FP6CeWKH+hBJ3Y1SiOIBrl69yo4dO1iwYAEjR45kyJAhjBgxggkTJvD999/z6KOPahJ9ZUJ6+UQtdHz77bd56qmnFBsQn6vwOUVysPi/OtlM7cNmZWXx6KOPMm/ePEVQeS9EArmjoyOvvfYaPXv2xM7OLsdYdDqdIhSXe/D7g7wEumI+Lq4OulKgW76x9BmpD7CthU6nw8PDQ3MgbmdnR0ZGBnfu3LHafXK7970EuuoYa2hoKIMHD1YEutKOS4/MzEyCgoI0wlx14YGyJMyF7HhRgwYNqF27NoBmjQY4fvy4EguQ+56KiY+PD/369bMo0FWvmd99912ZEOgKf8HR0ZF27doBKLECkbBkMBhISkoq1XFKCk9+OuYW9uxSIOa6Bx54AFdX1xyd+AAiIiKUInMljblA18vLi4yMDPr27cvnn38OyP16eUJ8Ts2bN1fmVnUBmKSkJH7//Xcgez4rTcTYbt26BWSfXwn/1MfHpzSHJ5FIyiD5FeYuW7aMFi1aFHie8/Hx4YknnsDBwUHTdVSs5ydPntQktFsTX19f3N3dNYWMROxUds4tv5S0QLc0UJ8Vbdy4kcOHDwPZZ03i96IJgkQikUgk5QXhe4aHh/Pqq6+yc+dObt26pRHgqs+41QWo1aJHtVhS+Jj16tXjiSee0Pic+SE/Al1xPikEuoMHD+b8+fPybLICIWwzIiKCCRMmsHbtWi5evJjDNtXxPPXPIiZkfmZka2vLo48+ir+/f4HHdK8OuuozKinQlUgkEolEUhEo1ZNTFxcXxowZQ1BQEA4ODkoHJrDO4XZ+BLpLliwpdYFunTp1lK5Tffr00Rxul1S1Qknh0el01K9fn8aNGwPZFYRE59HExESrJykIge5zzz2nSfSVHXQleaEWEXbv3p0uXbpgb2+fa8VUV1dXQkJCiIuLU+bPvBCb5SpVqvDaa69Rv379HB10xTWuXbvG5MmTMZlMODg43HPs5vdevnw533zzDYCmqEObNm3o2LHjPa8nKTvkJtBVr9dlXaCrrmooBbqlj7kwV3ToVnffMZlMPPzww7z55pvMnDmT5s2bKwff4vXe3t6MHj2aqVOn8vTTTwMoyRyAknR78+ZNZsyYUSwJk2IszZs3B7QJvwDh4eGA7KZTXlAnCT333HMsWrSIJUuWEBcXpwmEF4dA914dc839SHXio3r86t+JQxxxaHSv965O/hQdU41GIykpKezfv5/ff/+dy5cv06RJE4AcBwOS8ofo0GdnZ8dnn33G4MGDFeGNeFwt9hY2IWxNIOa9Ro0a8c4772Bvb1+gGIH4Xun1eiZMmMBDDz2kKQgCd210/fr13Lx5U+7B7yNyE+iKOU4KdCXmiENig8HAli1buHr1qqaLrbqrbFEwmUzY29vTqVMnTYELIZ44ePCg8rzi4l4CXfOiShcuXKBfv34kJyeXqtjzfiYzMzNHx1yxZymOjrnCzhMSEoo89jp16tCnTx8AJb4jbOz48eOsWLFC85ik4pGbQNd8zSwrAl2xB+rWrRuAZq9jMplITU1l3759yr8l5QdLoh7Qxp+LenYpMBqNuLu7061bN01BLLjrE6akpFhlji0saoHu8uXLGThwoBJjk8Lc8sljjz3GAw88oBHFiJ937drF999/D5RcF73cEPNmWloagLKHErECR0fH0hyeRCIpYxREmOvv71+o/BtbW1ueeeYZfHx8NCJZsSe6fPkyt2/ftvr8KQpniy6/Ys42Go2kpaVx/PhxQPqb5ZWKLNBVn9MuW7aMVatWASj7OnH21LlzZwIDA5XHJBKJRCIp6wjf89KlSwwePJiQkBBNAWqj0aj4i02bNqVz586MHz+ejz76iA8++IAxY8bw4osvUq9ePSpXrqz4k5mZmej1et58802qV69eqHXxXgJdEccRwsjk5GQCAwOlQLeCIGwzLCyMESNGcOzYMSVmbZ4DZDQa8fb2xtvbG39/f2rUqIG7u7viq4n4i9BzeHp6MnjwYNzc3Ao1ttwEuur7SYGuRCKRSCSSikLByuwUA25ubowYMQIbGxu+/fZbsrKyrHa4bWtry8SJEwH4/vvvlUQOg8GQQ6AL0LdvX6pVq2aV95UX5kn3Op2Ob775hs6dOzNz5kxAHm6XJ0Tw2MvLC8jeFIjP+fjx4zzwwANW70ZRq1YtBg8eDNztIJqQkKAkEIt7iw66AP369VMel7Z1/yI2rJGRkXzzzTdkZmYq9qDungtw8+ZNli1bRlpaGs8//zzu7u6aw5Tc0Ol0tG7dmiFDhrB06VKuX7+uJK2pEz62bdvG7du3mTBhAnXq1MHFxUWxT3Xiuvq7ExUVxfr16zXCXHFA5ejoSNeuXWWF1XKIEOgC7N69W/nMReEKtUD3/fffp3379koVtdJACHQnT57MkSNHcnTfUwt009LS6NWrF3q9vtTGez+RX2Fut27deOedd6hWrZoyN4nPUafTYW9vrwjF/P39mT59OnZ2dmzdujWHgNzGxoarV69y8+ZNateuna95Mr+IMQlxpgiIi3kyOjo6x/uWlE3USUKBgYEkJiYC8Msvv2AymRg9ejSenp4aP07sFQDWr1/PtWvXNH6cuUB3/vz5+Pj45PA579UxV51k7OLiQs2aNXn88cepW7cuDg4OSnD8ypUrxMXFERERwblz50hNTSU2NlbzPsW1cuuap+7+p/4uAfTp00cRp0mbLn2s9RmIwzw7Ozvefvtt2rRpw86dO9m0aZNyACTIysrC3t6eNm3acPnyZWJiYjTd/h5//HFq1qwJFFycI+ZNBwcH3n33XUaOHElsbKymw29mZiZJSUmyC899hhDoAmzfvp3U1FTNPGw0GhWBLkDnzp1zdA/PCyHQhZz7dnWMSiSpvf/++8p9pcCxbCE+E7UAskqVKuj1elq0aEHjxo2pV68erVu3xt7eHmdnZ83r1Wv8veYwYVt+fn6KwFKN8AGLe600F+iaTCZWr17NhQsXNF3Q1UW4NmzYoPgvkpLDYDBYFOaK+cTawlxx7eDgYEaOHMnUqVPp3bt3oa4l5tMePXrw22+/cebMGc09jEYje/bs4dlnn1X8AEnFRAh0AZYuXUpKSoqyr1CvmSLWPX78+FKNcRuNRvz8/KhRowaRkZHKnCnmRNHxUe5ryg+WOuaKwlLWFuZCdszH1dVV0zFXXDs+Pp7IyEj8/PxKzY6EqMnf359p06YpY5PnS+UTFxcX/P39CQ4O1ghehU+3c+dOHn74YZo1a1aq4xQFMYODg5XHxJlS06ZNCQgIKL3BSSSSMkVhhLmFWcOMRiNubm60adOGa9euaRLExTl2enq6td8etra22NnZ0bJlS6XjlXreFkU8pL9ZflHHiV5//XUA1qxZw+3btzWftblA9/3336dOnTpl9hxFjGn16tV88cUXAJozI5PJhJ+fH0FBQcq/y+L7kEgkEolEjVr8OHToUG7duqWsb8L3dHJy4oEHHuCpp56ie/fuuLq6WlzjRo0aRUpKCitXruTcuXMcO3aMl19+mZYtWxYp7qI+v+zatavy+JEjRzR5eKKDrhDorl69mkaNGsmzyXKKWjSem23a2dnh4OBAv379aNiwIR07dsTW1hZ3d3eSk5NJSUnh6tWr7N+/n9OnT3PkyBGlaNr//vc/6tevXySfzVygGxQUREZGhrJ/E2M1Go3s379feV1Bz+UlEolEIpFISptSF+fCXYHusGHDSElJoWbNmkoQzhqHvHZ2dkyaNAkouwLdF198kfr16ytdA+XhdvlCHAp36tSJv/76SzmMEcHlCxcuABTL5lUKdCUFxdbWlrCwMAYPHkxsbKySaKQW6KqFMtevX2ft2rUABRLoOjs707NnT1JSUli9ejU3btxQEj7EPWxtbdm3bx83b96kQ4cOPP/88/j7+yvjFIgu1OvXr2f//v3s2LEDyBbbiXG/8MILDB06VPm33JSXL4RAV1TqVwdeyotAVy3y1Ol0hIaGcuXKFSnMLSHyK8x95plnmDFjhqZrt6X5Qv2Yi4sLL7/8MtevX+fYsWNKwq1Ihrh69Sr//POPUnTF2u+pVq1aQLbITQg0zp49S3R0NFWrVrXaPSXWx1KSkBC8xsbG8vvvv2MwGHjttdeUYi/WEujeq2OuOsm4e/fu9OzZk8cee4xKlSrl+Z6Sk5PJyMjg0KFDREVFsX//fsLDw7l16xaJiYmajmfqSpdqcZGYM7Oysujdu7csUlRGiI6Oxmg0Ur16dat9Fur9SdeuXenatSvPPfccERERHDx4EFtbWxwcHKhVqxYPP/wwWVlZLFiwgJiYGOCu4MjR0ZFnnnmmSB1yhB1Wq1aNhg0bEhsbq9ioyWQiPj6eEydOKP6o5P5BCnQl98KSMNfOzo7bt29jMBiIiIjg999/B8Db2xtPT086duxItWrV6NChA+7u7lSuXBkgxxqelx01atQIX19fbty4oXnekSNHFBGPqCxdXKgFun369EGn07Fq1SpFoCvs18vLixdeeIEnn3yyWMcjyYmljrnqDuDFIcwV/ufIkSO5c+cOU6dORa/X06NHjwJfT9h1jRo1aNq0KWfOnMmx7wkODubkyZNSnHsfkJtA12AwlDmBrq2tLd7e3tSrV48bN24ojwubDg8PB7KLJUnKNrl1zBX7arCuMBey52MnJyelw4rBYFD26ra2tnh6epZ6jNvcfuV+vXwifMnXXnuNQ4cOERYWlqNj85EjR/jzzz9p1KhRqcbdxVwv5lZRnDUrKwsvLy9pgxKJBCg5YS5kxxRr164NoDkfsrW1Ra/XF4u/J+ZoEU8Q+yPx+NmzZ0lPT1f8Bkn5pKIIdM3H8cMPP/DZZ58BWmEugJOTE506dVIKrpeF8UskEolEkhdiTb5x4wajR4+26Ht6enoyduxY2rZtS/369XO8VuxtdTodVapUAeC9994jNjaWkydPKvnqRd3z5kegazQac3TQlQLd8omwr+vXrzNq1CiLtunm5kafPn144oknaNeuXY5rODg4ULlyZXx9fenYsSOJiYmcOXOGZcuWUb9+fR588EGg6D5bXgLdzMxMzbm8FOhKJBKJRCIpr5SZrAA3NzcmTpyoCFismZRta2tb5gW6Uphb/qlSpYqSqCE20zY2NkRERADFJxYsiEDXZDLx/PPPS4HufcydO3cYPnw4sbGxijBIzIdis2seaCmsQNfDw4PnnnsOGxsb1q5dS1hYmKYiu/iOXLp0iUuXLrFhwwYeffRR6tWrh4+PD7a2tqSnp3P69GkuXLhASEiIcvAoEk7h7rz57LPP8u677wJFTzSVlB7+/v7Kel2eBbqiS1GfPn2U9yMpXvIrzO3duzeff/55jtfkBz8/P9q2bcuxY8cUuxT3MBgMXL9+3crvKju42bRpU5ydnZXKhKLIgQhQSsouuSUJiQ48tra2REVF8eOPP9KtWzcefvhh5bVFFeimp6fj4OCQL2HukCFDeOutt7C3t9d0rVd/T8TPRqMRFxcXAHr27AnAsGHDyMzMJDQ0lJCQEK5cucK+ffu4c+cO165d0yReqLveG41GzfdS+qely7Vr13jxxRepWbMmn3/+OTVr1rTaZ6IuBKPT6WjdujWtW7emT58+OZ77zz//sGfPHk0F34ceeoh69epZxc/z8PCgS5cu7N+/X9PlAiA1NbVI15aUX0pCoJvbvl0KdMs2uQlzhX8p9rXCVmJjY4mNjSU0NBS4G+90dHSkefPmNGjQgAYNGtCqVSucnZ3x8PDQ2I+4nvh/tWrV8PPzIzw8XNOZJyIigoyMDE2xmeIkrw66BoOBypUr89xzzzFgwABq1KhRImOS3MWSXQrRdHF1zBV+59ChQ0lLS8PJyYnU1FSl2Fb37t0Lfd1XXnmFvXv3cuPGDeW7IebHBQsW0LJlS2lj9wF5CXRFbKgsCHSF3bq5uWkeF3O17GRWfijpjrkCYRsnTpxQYlficYPBgF6vv2fhLMn9g6X4TEEQz3d1deWxxx5j7dq1iq2pY0SLFy8mICCAp59+ulSSHsU9//zzT65evarsmXQ6HZUqVeL555/XPE8ikdyflKQwF3IWWxF7ZJPJhMFgwMbGpkgFBXNDzHVNmjQBsouGCJ8hIiICg8FQYrEBSfFRlgS6cXFx2NnZKfuc/Hx/1LGG69evs379emW/phbmChsOCAhgxIgRuLq6WmXMEolEIpEUJyI3Jy4ujg8++IArV64oe2i17zlv3jweeughzevE+RHkFN2K31epUsXqRU+lQPf+QNhmVFQU48aNIzIyUrFNOzs7MjMzqVy5Mh9++CGtWrXC09MTyN2/E4+7urrSrl07GjdurBRKsxayg65EIpFIJJKKTpkR5wKaznLWTqjITaCrFvyUlkA3r39Lyg8tWrSgbt26hIeHKwlwWVlZnDlzhvDwcHx9fYvt3vkV6C5evBidTic76N7HODs7M2LECObOnUtSUpKScOTt7c1LL73E7t272b9/v9UEup6enjz33HO4urqyYsUKLly4oHQVVScc2drakpKSwvbt2zUJyWrE60RwSzznmWeeUSqvygBR+UcIdE0mE7t37y53Al2REC27QJYchRHmFvQzEUlqAwcOZN26ddy6dUuZg8Sh8rlz5xQxpLXfn62treK3igIgOp2O27dvc+rUKXx8fKx6T4l1yCtJCO76/eLn8ePHa4S5gsIKdGfPno2vry9xcXEEBQVphLmAJsl4+PDhTJkyRXNfsZaq13nxs6V1VhT5aNKkiZIs9Morr5CZmcmRI0eIjo7mn3/+4ebNm8rYs7Ky6NWrlxTmlhGuXLlCYGAgcXFxJCYm8tFHH/H+++9Tq1Ytq3425r6j2ncTSfCbNm3S7NdNJhM1a9ZU/MCiINYMcfgk/E0bGxuMRqPyvZDcnxS3QDevfbsU6JZNhB9mMBgYNmxYDgGk+PyFv2nuq2VlZZGSkkJiYiI7duxgx44dALi7u+Pq6kqHDh2oXr06Xbt2xd3dHW9vb0A7V7Zu3Zq9e/cqtiDil9evX9dUXy9uLHXQXbp0KdHR0fTt25dBgwZJ0WQJYzAYcu2YW1LCXHt7e9LS0pT564033uCLL76gV69eBbq2SDT28PCgTZs2bN26VfnuCf81JiaGs2fPUqNGDTkv3geUhw66wo8UnS6EPyked3Z2BizvnyRlh7wKaRWnMFckzwFERkYqj0G2LdWtWxc3NzeZdHYfYi7CAcvxmcLg4uJC37592bRpU65z66RJk/Dy8qJdu3Ylbn9q0Tpk/y2MRiP29vbUqVNH8zyJRHL/UdLCXMjuIi8KtIo1W+y9qlWrhl6vt/qcKa5Vp04d5V7qIkaJiYnExcUpfqekfFMWBLo3b95k6dKlpKen07VrVzp27JhnTpG6gzTA1q1b+fvvv9m+fTtgWZhbs2ZNPv30U3muKZFIJJJyg06nIy0tjfXr13P69GkgO9ZuMBioUqUKK1asoG7dujled6/rFidSoFvx0el0JCUl8dVXX3Hu3DklfiIKDlepUoXvvvuOxo0ba16X2/5IPC5s08PDo1jGLQW6EolEIpFIKjJlSpxb3Nja2jJx4kSgbAl0JRUDFxcXqlatypUrV5SNgK2tLba2tty5c6fY71+QDrqAFOjeh4jNaWBgII6Ojnz22WckJSXh7e3NihUrqFevHtWrV8dgMHD48GGrCXTd3d3p1asXderUYe7cuRw9elQ5QBI2qk5iFslJouqwOuFZnRjl5ORE3759+eCDD4CclYsl5Rd/f38mT54MUK4Eum+++SaHDx+mT58+UphbQpSEMBeyu5Z4eHjg6+uriHPFGCBbVGZtTCYTVapUoWHDhhw5ciRHwq9I4pSULe4lzC1Iom9hBLpvvfUW06dPZ/LkyXl2zB0xYgRvvfVWrvfOL2L9Va/bIilIHPYMGDAAGxsbgoODuXz5Mjdv3mTs2LFFvrek6GRmZjJnzhzi4uKwt7cnJSWF/fv3K+ustQW6atS+pr29PRkZGYSFhQEoSXVGo1Gpol/Ug0AxT1evXl35TqoLLZgXh5Hcf0iBrkSN6PLep08fLl26BGTvO9WxFvOOt+ad78y76yYkJJCQkMCPP/4I3I1ROjg48Oijj1K7dm06dOhA7dq18fDw4IknnmDu3LnK2m0wGIiPj+fcuXMlKs4V70fdQVev1xMfH0+XLl2kMLeEya2Tc0kLc8UeSD3/iTW1oIiOeM8++yxbt25VOlCJGFF8fDzLly+nS5cucj68TyjrHXTFnHjt2jUAzdyv9gvkGl52uXbtGoGBgZr9uvjcilOYC9n7kp9++okjR45oHhfzaJs2bYotCU5SNjHvqpOQkEBYWBhRUVGcP38eR0dH9Ho9Li4utGrVChcXF6W4C+TPRk0mE02bNuWdd97hgw8+UPbd5vuR9957jy+//JIHHnigON+yRfbt28eaNWuAbLE6wKBBgxRxrkQiuT8pDWGuwGQycePGDc3eR/h/Tz75ZLF1r83KysLBwQFHR0fu3LmjKRqbnJzMqVOnirVAvKRkKU2BbkpKCjt37mTTpk3cuXOH48ePs2fPHsaOHav4IObfKZ1OR2xsLJGRkXzzzTcEBwcTHx8PWBbmenh48N1338n1XCKRSCTlBhHXu3z5Mn/99RcJCQmaom6VK1fm22+/pW7dumUyBigFuhUXkVO7Y8cODhw4oCkgJPZFy5cvp169emVSzJqXQDczM1MKdCUSiUQikZRb7jsVk52dXZnsoCspfsyTJa2J2BC0adOGQ4cOaZLhEhMTOXLkCAEBAcW+MSiIQNdkMvH8889Lge59hEgStrGxoV+/fmRkZLB06VIWLFhAvXr1AOjWrZtiC9YU6Do6OtK6dWu+//57pk6dyr///sutW7eUeVcczoiDTPNkTpGUIhKjWrVqRc+ePQkKClKeL4W5FQtLAl0xX5VVge7MmTPZunUrr7zyCiDFZsVNSQlzBWKOqV27NsHBwUqwU6z5jo6OOcZlDcR4RTceMT+K78PFixeVx2VgvGyQW5JQZmYmoO1am99E34IKdI8fP07//v2VTmaWOuaqhbnWsh9LHV3Uv7OxsaFVq1a0atVKeVzOlaWPTqdTkr5FJ8iMjIwSE+iquX79OpGRkRq7BZRiR9YSz4rvgbmtOjk5WeX6koJjyb5Ka36QAl2JmvT0dLp06UL37t3Zs2cP0dHR3Lp1C0DxN9UCQrU4V2DeXRe0lalFd93NmzcDd33bSpUq8eijj1KlShWqV6/OzZs3Fd/TZDIRGxtbQn8BLWqBbq9evcjIyKBSpUqlMpb7ldyEueoiPsUhzD116pRFYa6owg7w+eef07t37yK9v7Zt29K3b1/l+yCwtbUlODiYLVu28OyzzxbpHpLyQ24CXaPRWOoddMV9RPK5uutpVlYWjRo1AmR3x7LKjRs3CAwMJDY2Fr1eT0ZGBpC9zgG88MILyv5bJClak0uXLvHHH38A2Z33RMEDHx8funTpAsg98/2C+JyTkpK4ePEi27Zt4/jx44SEhGjORQSVK1emUqVKBAYG0rRpU9q0aZMvOxFz0uOPP85zzz3Hpk2blLg7oPx848YNpk+fzvTp02nRooX133AuREVF8euvvyp+rxhz5cqVeeihh0psHBKJpOxRmsJcuHtOuXfvXiA7zi38BlE4qzjyQGxsbKhduzb+/v4EBwcrj4v3HBcXZ9X7SYpOXraXHxspaYGueP6hQ4f45ptvFBF4aGgooaGh7N+/n+bNm9O9e3c8PDyoXr066enpnDx5kps3b7Jlyxbi4+OJjY1V3rfwbSG7cJ2Pjw9Lly4t8UJzEolEIpEUBbEvXb58OWfPntUIc93c3JgxYwZNmzbV7GHLGlKgW/EQPqHBYGDz5s1ERERobNPT05O5c+dSr169Mh1XlB10JRKJRCKRVETuSyVTbh101VXXhUDXZDLx3HPPSYFuOUY46pbEAuYB7MIiNqEtW7YEyHFQLpImS2JDkF+B7uLFi7GxseG5554rs5swifVRH+gMGjSIp59+Gjc3NyV52MbGRkn8AesKdLOystDr9Xz66af8+eefHDhwgHXr1inJo2JzbWNjo3wv1YeqNjY2ODo68uqrr9K+fXuaN28OSEFaRaZevXpMmjQJBwcH/vrrLyU5TiS1lzWBbvXq1aUwt4QoaWEuoAn8qRHzp4eHB3q9vtDXzw3xXkX1c3UXaYDTp08ryfiS0icvYa46IA4F78BTEIGuTqcjPT1d6bqTV8fcklpHxT3MfQZpu6WPnZ0djz/+OJs3b9Z0/CoNgW5GRgZpaWmKrYrxiESzohZjEfZ38uRJ5XspDkwdHR0V/1JSsgi7ioyMJDIykpo1a1KtWjWLtlZSc1ZpCnTVBYxWrVpFRkYGH374odzzlBKVKlViwoQJALz88ssYjUZOnz7NhQsXuHTpEseOHSM9PZ2wsDBNAQGx7qrFk2rBjyj0ItZqtZ+QnJxMfHw8GzZs0Ah9xeuzsrI4ePAggwcPLhb/814IG7ezs5NFskoYg8GQqzBX/FxSHXPhrg2Inz/77DNFmFsUf0Gn0/Hggw8q4ly13RuNRo4cOSLFufcZZbmD7u7duzlx4oRm7Rd+bN26dQG53ymrpKamKkmHGRkZmnlUCGTPnDnDnj176NixI/b29lZN+DIajezcuVPpmiv28cIXqFevHk2aNAGkDd0vGI1Gzp8/z8yZMwkPDyciIkJzrqcWgel0OuLi4rh16xYzZ86kWrVq9OzZkwkTJuTbN/T29qZHjx6EhIRw9uxZxQYhu9jA+fPn+eSTT3j//fdp1qxZsb13NUeOHGHHjh2KDyO+l506daJjx44lMgaJRFL2yEuYK/YkxSnMvX79OuvXrweyu4GKPUqHDh14/PHHgeLLAzGZTDkKCoq5+vDhwwwZMkSelZci5vYmchzS0tKUeI+zszOAZq3Ny15KUqCr0+k4f/48M2bMIDY2Vok1CJ/44sWLXLx4UdmjOzk5Ke/PfMzieuaxL39/f+bPn6/skSQSiUQiKU/89ttv/P7775qmIvb29vTr108pSF7WBYJSoFuxEH7Xt99+y6FDhzS2Kc40W7durXluWeVeHXTV5/JSoCuRSCQSiaQ8cN9mUOXVQVf8nJyczNKlS9HpdLKDbjlFbA4zMzOZOHEijRo1wsfHh44dO+Ls7IyLiwuQvUkuilg3KyuLWrVq4eHhQWJionJdo9HImTNnyMjIwNbWtkQ2q/kR6EZERPDJJ5/g4eHBE088UexjkpQd1Dbu5uamPAbZh0HFIdBVHyR1796d7t2707NnTw4fPszff/9NbGys0k1XLX6rXLkyNWrUoEePHjz00EOaRJCyXH1OUjSEzTVs2JCmTZvy119/AdpDvbIo0BWU9QBXeaY0hLlw9zNNTU1VOtVCdoV0o9GIt7d3jvFZA3Gtpk2b5ngPdnZ23LlzRzkAkJQueSUJAUUS5gryK9A1p7SFuWpkcLxs4urqisFgUNZYkXxT0gJdcwGbsJfQ0FCioqKoUqVKke4trnfjxg3l36J6v6Ojo5IoJSk51HPnoEGDiIuLo3bt2tSsWZNatWrRrl07vLy8aNWqFXq9PofQvzjtsTQFuuIeBoOB3377jaeeeoq2bdsWy/uU5B87OzscHR155JFHeOSRR4C7nb3T09P577//uH37NgcPHiQsLIzr169z+/ZtZf0VtiP8R3X8SdiMwWDQiHXVXRjViY1wt1NjYmKi4oNKKj6ZmZkEBQURHBysJMsK8bZYPwcNGsTUqVOBkhfmCsGsNQoH9e/fn99++42DBw8q86mYdzdu3EjXrl3p3Llzke4hKV+UNYGumLdDQ0M1676Y4728vJQinpKySf369Vm5ciWvv/46YWFhmnMTuDsHhoSE8Pnnn2MymXjssceskvAl7rN3716++eYb5cxI3fHC29ub9957j0qVKsnif/cJp0+fZufOnaxcuZLExERlnwpofER1MS1xLmI0GomKimLZsmVcuXKFUaNG0aJFizxFusKOH3vsMUUILO6rjglkZWVx+vRppk2bxgcffEDLli2LJelR2PmpU6eYOXMmCQkJGvFbs2bNGD16tGbsEonk/kHMEWFhYTli7jY2NmRmZlKlShUWL15cLMJcg8HAgQMHOHbsGIByfm0ymfDy8mLAgAHK48URZxdFNwMCAjhw4IByHiWIjIwEkGflpYiwt7CwMM6dO8fff//N5cuXSU1NVfYtLVu2pGbNmvTq1Ytq1arh7u6er+uWhEDXaDQyY8YMIiIilPUXstdcUUBGxB3S09OVoiHqgrEivqWOdbm7u/PQQw/xzjvvKAWIJRKJRCIpL4i1MDg4WDnnEWtrlSpV6Nq1a77W9LJCfgS6WVlZUqBbTggNDeXff/9VfDLht3Xo0EE5vywv3EugKzvoSiQSiUQiKU/ct+JcuBuktiTQtdRBF5AC3XKGWpgrukps374dAC8vLxwdHWnfvj1+fn40a9aMRo0aodfrcXFxKVR3XRsbG+rWrUvjxo05cOAAkL0pv3LlChkZGYoYuCTILdFXdCjNzMykbt26PProoyU2JknZITdbVm9ai0ugq0YkNb/22mvExsZy8eJFUlNTSUpKws3NDWdnZxo0aJBrwrHcXFdM1KLrrVu3MmfOHEArzBXPK8sCXYn1KS1hrrhGUlISycnJGlvMysrCxcWFXr16AcU3L4mkTPU9jEYj165d48yZMzzwwAPFcl9J/riXMFctji2sMFeQH4GuSH4QiHuPGTNGSeSQBygSNdWrV8fb25vbt29rErxKWqDr4eGBl5cXcXFxSiKuyWTiypUrhISEWGU/HhwczC+//JLj8aeeekpW7y9h1HNnYGAgcXFx2Nracv36dcLCwgDYtGkTRqORevXq4ebmxiOPPELDhg2pU6cODRs2xGg04ujoqLmumN+scRiXl0BX/N/aAl0hujMYDNStW5cBAwbQuHHjIr0PiXUQXWLV4nBnZ2ecnZ2V/fNzzz2Hra0tERERXLhwgfDwcP79918SExMJCQlRPluBSLQVvqy4rnmnETUiIWT69Ol89NFHeHh4lMwfQFJqmEwmJk2aRHBwsDK/qTvcwd0OeO+88w4A6enpODg4FPp+eQlzdTpdnsLcos67Yg7v2rWrkvhkLsDcvn07bdq0oVKlSjIudB9RlgS6Op2Os2fPsmDBAiB7jwZ3bbhOnTrUq1evWO4tsR4NGzZk/vz5jBs3TiPQVXckv3TpEl988QVAkQW6Yn4LDg5m4sSJpKamKgIIUZyjUqVKDBkyBF9fX6sUO5CUff766y9WrVrFiRMnSE9PV+YydcEW0K6x6sKVIgnTZDKxa9curl27xocffkibNm1yvae6yFFgYCBRUVHK3Kmez4Qw+PTp07z55ptMnz6ddu3aWf1vYGNjw+XLlxk3bhwxMTEaYW7lypXp3bs3Pj4+ypgkEsn9g3ncyDzmbjQacXZ2ZuXKldSpU4eMjIx8dxDP773Pnj3LwoULNQXVxH7Iz89PKciSW5y9qHsk8Vo/Pz9lXGJPCFC7du1CX1tSeMTnajQaSU1NZeHChezdu5fz588rz1GfCd24cYOsrCx+/vlnfHx8GDduHE2aNFHiObnF2ktCoGtra8t7773Hhx9+yKlTp5TXqAvFqQVJJpNJ8x0Uj9nY2CjjNZlM1K9fn27dujF48GCqVKlStD+4RCKRSCSlgE6nIyQkhB9//FFTUBfghRdeULrmlicK00F36NChrFixgkaNGkkRZBkiJCSEU6dOKf8WttmrVy9l71CeKKpAVyKRSCQSiaSscF+Lc0EKdCsqwiE3GAyKMNfe3l4JBicmJhIXF8eGDRuAu8HxypUrU61aNdq0aUOVKlXo2LEjbm5uSrBYLYSxlOgrru3r68uBAwc0BzRJSUncunWrRMW5YDnRV6/Xk5GRQYsWLVi5ciV6vV6KMyQaLAl0dTodhw4dsopA1xxxzWrVquU5v0o7LXlKozuD2n62bNnC22+/DaBJyhEIW5UC3fuD0hLmQnZhgSVLlhAREaH8W/gajo6OeHl5Ffk+eVG/fn18fHyIjY1VvgvicPz27dvFem9J3pREx1xz8ivQhWwf1tvbWxGYWTNRSVIxcHZ21iQMCUq6g66Pjw/e3t5ER0crtivG9fXXX1OvXr0iVdlPT09n7969pKSk5EhsDggIKPobkOQb4dtb6nyi7pIoPp+wsDAMBgPBwcEAODg4ULt2bby9vWnfvr3SXbdy5cq4ubkB2fNfUW01N4GuWrhhLYHu5s2blXXdz8+PAQMG0K9fP1xdXQs9fon1EZ9rXnZVs2ZNatasCcDQoUMBOHXqFPHx8Rw7dozQ0FAiIyMJCQlR9jSQPSeJQ2ZhS+qu4iLetH37dkwmEx9//HG5qtAuKTgGg4HatWtTu3ZtpXiBeefl2NhYXnrpJWbNmkXVqlULHUPJTZgr5mdRCBGsL8yF7KT2xx9/nMWLF3Pz5k3F5sX3ZPfu3YwYMYL69esX+X6S8kVuAl2j0ViiAt24uDjWr1+fQ0iXlZWFu7s7Q4cO1XRDlZRdGjVqdE+B7sWLF4ss0BVz8vnz5xk1ahR37tzRdCYT+/vWrVvTpUsXGdO8T1i7di3z5s0jMTFRsQG14FZ9zgnZ+3Mx36n9R2Gv9vb21KhR4573Vot9Jk6cSHJyMmvWrMnRRVrYeVhYGCNGjGDmzJk8+eSTODs7A4Xba5l/f4KDg5kwYQKRkZEawbrJZKJly5Y8/fTTMoYlkdyn2NjYEBUVRVBQELGxsZqYu0Cv17Nv3z7q1KmDXq+3iv8l8oVu3rzJm2++yY0bNzTzU2ZmJg4ODkydOpVq1arl2Hup5zn1fKcu9JXfMYrXCBGn8DGzsrI0Z2FSKFFyiM8vMTGR7du3s3XrVg4fPqx8pur9CWSv3zY2NkRHR3Pz5k1eeeUVevfuTc+ePenQoYNmXTanuAW6WVlZBAQEMHPmTJYsWcL+/fsJDw/XxL7Ua7Ma8/i9eM7jjz/OiBEjaNy4cYnnR0kkEolEYg3UMXJRYFX4fDVq1ODxxx/XPK+0EeMwGo2kpaUpe3ZLFKSDrqOjIwkJCfTp04edO3dSvXr1kng7kntw+/Zt1qxZA6CJDz399NN0794dKDv7A/Nx5DUutUB31apVBAUFkZ6enqdANy0tjR49epTIe5FIJBKJRCLJD/e9OBfuBrEnTpwIaAW66qQOKdAtP1jqmCs+T9FVQp1QJg5xoqKiiIqK4uTJkwAsXLgQnU5Hu3btqF27Nq1ataJRo0ZUqlQJNze3HBsFEVTv0aMHW7ZsITMzU0mwTExMJDg4uFQqE4lEX51Ox5YtW7h165YizHVwcFDsXVL+yW/iZX6CQ5YEuiaTyWoddNVYGrOlMUphbskiPoPY2FgcHR1L5PAsL2GumLfFz+qkdZGkKwW6FZfSFOYKDh48yIEDBzRzm/Ahhg8fTp06dax2L0u4ubkp67ZABCdPnz7N448/XmYCrPcTpSHMFRSkg65OpyMmJobhw4cze/ZsatWqJYteSDSohWGQsxtNSQh0xbXat2/P2bNnlcMVMa6wsDB+/fVXBg0aVGARmrj28ePHWbt2LZmZmYoPYTKZaN++vSKOlJQMtra2XL58maCgIGXuFB0Z1Z2gAE3XKDGvGgwGQkNDCQ0N5cCBA8DdIgT29vY0bdqUpk2b4ufnxyOPPIKdnV0OmyloQmRJCXR1Oh2rV6/G3d2dQYMGSWFuOcR8bRXCBhsbG5o3bw5Ax44dAUhOTiY8PJy4uDh27dpFdHQ0x44dIz4+PkdXErWdqhMk/v77bwAp0K3AmEwm7O3tGTduHM7OzmzYsIGIiIgc85eNjQ2HDh1i0qRJzJs3Dy8vrwL7e/fqmKv2bYtDmKseR40aNRg9ejQff/yxEg/Q6XTo9XpiY2NZt24d7733ntXuKSk/5NVBV114tbgEullZWRw9epTdu3cr/on6+1G1alUaNWoE5F3EQVJ2KG6BrlqYGxgYSHJysiZuIJInfXx8GDZsGA0aNCjW9yspG/zwww989tlnQPbZojqZVuyF7O3tqVKlCjY2Nri6uhIXF0d0dLRiPyI2ajAYaNSoEe+++65SIOZeqAXA//vf/0hPT2fjxo3KOapagCPm1rfeeoshQ4bw+OOPK2IiKJgvIJ4XERHBwYMHmTNnDrGxsZpkZ/F+3nnnHSpXrpy/P6pEIqmQJCYm4uHhQVJSEqmpqTnmmtu3b7Nw4ULS0tIYOXJkniLH/CD8yfj4eEaMGMG1a9dyFESws7NTChusW7eOQ4cOkZaWho2NDQaDQRFteHl54eHhQatWrXB2dlYKDoqx5VYQXo14vGnTpnh7exMfH59DmFtWRCH3A+JvHR0dzddff82ePXuIjIxU9gQihqlGxN3F2mpnZ0dGRgZbtmwhODiY4cOH069fv1IT6Ipr+/r6MnHiRB5//HHWrFnDnj17lLGLrrjiLB5Q4utiHwbQqVMn2rRpo8RQJRKJRCIpr4j1+M8//yQjI0PT0MfHxwd/f3/N80oTEb9KTk5m69atJCYmMnLkSPR6fa4+QH4EunC34DvAk08+KYW5ZYi0tDSioqIAFF/NaDQq3Y0hZ65HaSBsKT09nbNnz1KrVi2lSVZuCN9U5LZbEuiKn/fv30/btm1L6N1IJBKJRCKR5A+pyPt/7OzsZAfdCoIQ5o4YMULTMVccKEP2JlMEikWQXL1pvnPnDgaDgT/++EPZuLi5uVGrVi0efvhhfH19eeyxx3BycsLb21u5tru7uyYALoLSsbGxQOlUJqpVqxaDBg0iKSmJ8PBwFi5cKIW5FQi1rQGEhIRw/fp1Tp06RXR0NJUqVaJJkybUrl2bNm3a5DthwpJAF7CqQDevQyZJ6aEWm/Xs2ZP27dszd+7cYhXo3qtjrvg5MzMTvV5Ps2bN+O+//zSJ6VKgWzFR28aKFSs0wlx1QkTfvn2V31k7GSEhIYHff/+d0NBQ5TExRzZu3JgOHTrkGKs1ycrKwsnJCR8fH65du6YEJMW9Ll68qIxJUnLkJsy1JF6wtjBXkB+BLmQfypw4cYKJEycyf/58fHx8pEBXoqDX66lUqZKypkL2nCb+X9wCXXGNzp07s2TJEiWZTVw/ISGBn376CR8fH7p06VIgv8TGxoZLly7x9ttvc+vWLWUNMZlMVK9eneeee07zniXFj8lkYvny5crnoV7X1AeHosiAQMyrasGjENkKQWNkZKQiWPT09MTZ2Zn27dtTpUoVWrduTa1atfDw8MDV1dWi7eZm0yUh0B04cCAeHh44OzvTq1cvKcytAORlY87OzjRu3BhA8SdjY2OJi4vjzJkznDp1isjISE6fPk1GRgYJCQmavY8U6N4fiDlOr9crc5C5QFfMlTY2Nhw5coQ33nijwAJdca1Tp07lEOYCJSbMhezvTUBAAG5ubsTFxSnvIT09nebNmzN58mSr3lNSOErLdyoNga74jly5coWvv/6ayMhIjR8gvh+vv/46tWvXLtoblJQ4xSXQvZcwV8yttra2TJo0ifbt2wNyX1LRWbZsGTNnzgSyC0+aTCbFHvR6Pe7u7vTr149HHnmEli1bAlCpUiUiIiK4fPkyv//+O4cPH+b69esA+Pr6MmLECB544IECjUUUxbK1teXjjz/Gzs6OH3/8EciOJYmzVDG3rlq1ip07d/LEE08wcuRI3N3dcXJy0sQQxHdI+DHi/Ql27NjB1q1bOXDgAElJSTmEud7e3sydO1cRskkkkvsXf39/Pv/8cz7++GOOHz+uFO6B7Nh4bGwsy5YtAyiSQFfMdQkJCQQGBnL58uUc51DieWvWrFGEu+bdfM1xcXHBaDTSqlUrfH19adOmDY0bN8bDwwMvLy+La775+J2dnTEajRgMBinMLSXE3/rGjRu88847HD9+XBHrqAsLqmPplsQRwvczGAxcunSJzz77jLS0NAIDAzU5RuYUt0DXZDLh7u5O586d6dy5M7/++ivnzp3j119/JTk5maSkJAAlRiDeV4MGDWjatCk9e/bkgQceULo8S9uUSCQSSXknKSmJyMhITTEVo9HIQw89pDm/Lg3U63pGRgbXr19n2rRpnDt3juTkZCpXrkz//v3znRNqSaAr/GDpe5YdxOe1fft2bty4oTkv9Pb25umnny5T8URbW1tu377N/PnzOXHiBE2bNuW9997D0dExz9flJdAV7xfudgp++eWXS+KtSCQSiUQikeQbnUmd5SjBaDQye/Zsvv/+e0DbrU8ESV1cXBg1apQU6JZhXn31VXbu3AlkHy5DdmBZ/RhoE89BuwFVix7MD1e8vb3R6/X06NGDmjVr8tRTT+Hm5sZbb73Fr7/+qrzeaDTSoUMHlixZoqkoWdJER0fj5eWl2LUU5pZ/RODjzp07hIaGsn79evbs2UNMTEyO5zo4ONC2bVteeOEFHnroITw9PfOVpKkO6vz999+sXLmSQ4cOAShBKPGfEILfS6B7+fJl6tWrB+S/46+kZFCLzYYMGaLYUs+ePfnwww+LRSCQ3465mZmZODo6smLFCmrWrMk777zDv//+C2TP9er12tfXVwp0KxDqjhLmCRFNmjRh06ZNwN3gs16vL/L91Hb5/fffKwFn8+D7iy++yDvvvJPnNYTgqKiB0JkzZ7Js2TKlSrXwS+bPn0+3bt2KdG1JwcirY665r1lcwlxL4zEajfzwww+KQBey/V91UnGLFi2kQFeiISEhgX79+nHjxo0cc5ewabVoV6/X0759+2LpoAvw6aefsnz5cgBNUrzRaKR27doEBgbSrVs3qlevbrEDqnoOT0lJ4fTp00yZMoXIyEhlDRHvrVevXrz77rt4enpabfyS/JGcnMyHH37Izz//DGgT08Fy0Qn1Z6sOZ6mfq97Di0JdAgcHBxwcHKhVqxaNGzfGx8eHjh074ubmpuxPBJZEbwDnz59n6dKl/P3336SkpOSwURsbG1q1asWoUaPo3LlzjnHn5+9ib2+Pg4NDvp4vKf+Yr9Pm82l4eDh79uxh2bJlhIeH5xBxiJ+7dOkiBboVGGEbGRkZLF26VBHoQvZaCdli3jZt2uRboJtbx1zh26oTzotDmJvXdcQeSIyhefPmrFq1ShYdLGXU++7SFBHevHmTjRs35hDoApqfX3755SIJdMV3KCkpiVGjRnHixAklNgDZRUOGDBnClClTZAyqHHP+/HlFoKsWJqr3Gw0aNGDy5Mk89thjQO7fgbyEueZz6yeffCILBt0nrFmzhg8//BDQxjdFPNvNzY1+/frRtWtXWrVqpbzOfC1PSUkhKSmJt956i7CwMAYMGMCgQYMK7Qeqrz9r1ixWr15NWlqaMjb1ONX76QYNGuDn58fgwYOpWrWq0j3IHFEMefPmzYSEhLBlyxZNB0FxzaysLHx8fFiyZInsIi2RSIDsdTEkJMSiQFfMHXA3b2P48OFKUaOCxCvVwtzBgwdz6dIlzTwtEPdTFzcw39MDOfb3Il4kfq/X6/H19aVFixbUrFmTTp06UalSJerXr6+5n3p+fvLJJ2ndurVS4EGKI0oO8bcODw/ntddeUwr5qs/91LFB8TuxXzD3KdXiXSGKfeedd/K111Z/7l999ZUi0FXfR1zD3t6eRx55JF8CXYG5zxEVFUV6ejoXLlwgLi4Oo9GIg4MDbm5u1KxZk/r166PT6TR7IOnPSiQSiaQicOzYMQIDAwE06/0XX3xBr169SnNoCkePHuXgwYP8+OOPxMTEKMU227Zty6effpqvbrfqdXv79u2sWrVKyQnt06eP9D3LILNmzWLp0qWaM+xatWqxdu3ae3amLSlu3LjB2bNnmTVrlpK31KhRI5YtW4aXl1e+7El9biUEunq9noyMDCkal0gkEolEUmaR4lwLSIFu+efatWukpqZy5MgRoqKi2L9/P3fu3CE8PFyTmCs+WxFgNq9oCdquPaA9TDE/kKlevToeHh7Ex8dz8+ZN5XGTyUTDhg2VpOPSRgbEKwbicCQ6Oppvv/2WgwcPcvny5RxJDeqEiaysLKpVq0ZAQADvvfcetWvXztcm1Vygu2LFCg4fPgzcW6BrXq31t99+48svv+S5557jtddeK/a/kyT/iM8qLCyMwYMHExsbi4ODAxkZGZhMpmIR6OYmzFV3nzQX5rZo0QKDwcDly5eZPXs2u3fvBqRAtyLzxx9/MH78eABNIqOY77y9vRk1apTVBJBqu9y8ebMivlX7hCaTic6dO/Ptt98Cd4U04vBdzItOTk45ri3GVpAxivEsWrSIOXPmKAFHuHv4rq5kKSl+8uqYa85rr73GuHHjgOIvRiEFupKiEBERQd++fUlMTASyk4fq1KnD1atXgZyFEYpToHvo0CE+//xzzpw5o4xH3YXAy8uLFi1aMGrUKFq1apXrfY8ePcqePXv46aefiIuLy9GNx9/fn4ULF1KrVi2rjFtScJKTk5k6dSq//voroPXnIGchLcjek4uOu+qkM0tdKYTt5FZ0y9HREaPRyAMPPED16tVp1aoVjRs3xtPTM9f90pkzZ/jhhx/4+++/c3TQtYZAVyIxt7ukpCT+/PNPvv32W65fvy4FuvcpxSHQLW1hbm7jEo+fOHGCKVOmcPXqVSnMLSOEhYWxZMkSAgICGDRokKYgRmkkweQm0FXHhqDwAl1ha5mZmQwfPpyjR49qfBDxvWvZsiUTJkygbdu2Vn+PkpLFGgLd3IS5Itapts2PPvqIF154weJ1JBWLP//8k/fff5+kpCRNASxhD5UrV+ajjz7ioYceUny53OZW8XhmZib79u2jRYsWeHl5FWl86jX5hx9+4Oeff+bs2bMAOQRqYk8m5kBbW1vs7e1p3rw5rq6u+Pn5odPpSE5OJiUlhTNnzpCcnKwpKmtnZ6d02RW237hxY7788kvq1KlTpPcikUgqFsUt0M1LmGupsLt6XLmhfr55J1XhW6pxdnYGoE2bNlStWpX27dtTv359fH19lc5S27dvV86CZAJ6yaE+Ox82bJimSxmQI9ZYq1Yt3NzcqFWrFtevX+fOnTvKOQ2gsS21fTRo0IBJkyYpccT8jAmKR6BbUKQ9SiQSiaQismPHDsaMGaPEyoXPOW/ePLp3717qMZzY2Fhee+01Tp48CaDEK7OystDr9Xz99dc89thj+RqneU7ovHnzaNiwIbNnzwbkWl9WMBqNGAwGgoKCOHnypKZ4ZIcOHVi8eHEpj/AuR44cYfny5Rw5coSEhASNbQ4cOJBp06bl+1qWzq/69u3Lp59+qvm9RCKRSCQSSVlBinNzwZJA17yCsRTolk0sbSqFYObkyZNKZZ4TJ05w+/ZtIiMjNc8VycDmh82WEn3V3XPEcyx179HpdLi6urJ69WpZ7VliFUSixPXr1xk3bhwXLlxQgkHqxAhLVVnFv6tUqcLixYsJCAgoVDDmXgLd559/nueffx5vb29lM3zgwAGGDx+uXPP5559nwoQJeHp6ys1yGSEiIoKnn35ak5CrtilrCnRzE+aqk39F4pq5MFck4YaGhvLFF19oBLrmB6JSoFv+OX36NDNmzCAkJIS0tDSLCRBFqYquRm2Xv/76K5MmTQJyHphXrlyZt956i6ioKEJDQzl37hyJiYk4Ojoq35nKlStTu3ZtXFxcaNu2LdWqVaNOnToWvz/56RJ48OBBXn31VVJTUwGtMLe0g//3C/fqmKtOptDr9UyaNIkePXpQtWrVEh2fFOhKCsrVq1cZOHAgiYmJmiIC48eP59atW6xcuRIoWYHuDz/8wMKFCxXBsECdcAfQrVs3/P39adasGS4uLhgMBk6ePElERATbtm0jIyND8R3UwtzKlSuzcuXKHN1SJSVPbgJd0Fajfuihh3B0dOT06dMkJCQor1cXvTDv+mxpfVWLLHLrYCLW+oCAADw9PenYsSPe3t4EBAQoSe8RERHMnTuX3bt3k5iYqOk0LQW6kuJACnQlYF2Bbl7CXNAmGRe3MPedd97B3d2dKVOmaK6dkZHBwIEDSUpKYtu2bVKYW8qEhYXx/PPPK/7ZI488woMPPsgLL7xAzZo1leeV9HpnSaAr9u9F6aArbM1kMjF06FCOHDmiEeaKtd/NzY033niDwYMHF+fblJQgRRHo5iXMBW3c88MPP6R///6ATCar6Jw6dYqZM2dy7NgxzeNira1SpQoLFy6kWbNm+b5mcdiMem3et28fv//+Oxs2bABQ7iX2WWKeF36oep9uCfXZlbiWmE+rVq3KQw89xKRJk2TxLIlEYpHiEujeS5irvr6NjY1yZqqOO6mTzc3jUuY+sXq/pp4TRbEC8ZitrS06nY769evj5ubG+++/T6NGje75fiTWRX0eFBgYSGxsrMW8MYDHHnuM1q1bM2DAAOzs7HB2diY5ORmArVu3EhwczC+//AJoY+zqgoLdu3dnypQp+co9Ky2BroxtSiQSiaSiI9a6devWMW3aNCWOY2Njg42NDQsWLFBiQaVJamoq33zzDT/88EOO4lkGg4FOnTrx1Vdfodfr83U99Rp/+vRpJT4hfc+yRUZGBk899RTXr1/X5AR36tSJRYsWlfLo7rJw4ULmzZsHZPu9wj9t2LAhixYtKpDWQtjgsWPH2LhxI5988onmcYlEIpFIJJKyhBTn5kF+BbovvfQSzz77rBToljHUm0ZLQWKj0UhycjLHjh0jJiaG3bt3ExMTQ3h4OPHx8TmuJw5B1B1IwXLlU/NxCCZOnMjLL79s5Xcqud8QCRLh4eEEBQVx8+bNHAd4AnWCuRoxh7m7u/PNN9/QunXrfN27IAJdHx8fHn30UV566SVSUlIICQnh3XffxWQy4eDgQHp6OnC3CvArr7xC27ZtpSiolDGZTGzdupXp06eTmpqqEbpaW6B7L2Fubh1zLQVXLAl0ZQfdikNxV0W3dC+A3377jYkTJwLaxEk1zs7O3LlzR/OYmAvN517xHapTpw4NGjTA39+fdu3a4ebmRkBAgMXxmCfPh4WF0a1bN0AKc0uDvIS5AnVBjKysLFxcXBgxYgT9+vUrsb2CFOhKCoKYP/bs2cMrr7yi2IdYS5cvX06DBg1YsGABq1atAopfoKt+/Zw5c1i8eLHGbs0PF8U+zN7eXhm78DOBHIJNUTxBvDdJ8ZLfNcqSQFd9mAxQr149Fi9ejL29PefPn+fq1avs37+f27dvc/r0aXQ6nSJ6UHcjUa/J6gRJNeoOJpa66wpfoHbt2nh5edG4cWM6depEREQEx44d46+//srRSUoKdCXFQW4CXdDu2aRAt2JjDYFuWeqY++GHH7JmzRoAxo4dy5gxYzQCt8jISCpXroxer5fC3FJEvQ9Sx/UAPD09efbZZ3n44Yd5/PHHlcdLMkEmtw66QKEEuvcS5qrn3JdfflmJH8h1vuJQGIFuZmam4qtKYa4EUGKECxcuZPHixaSnpyu2JPYd3t7erF69Gj8/vzIxh6jt8fbt2+zbt48vvviChIQEzZlBXgI0ER8Va7m6cJL5Xv6BBx6gX79+PPnkk0Xu/iuRSCo21j4rykuYC9mxHXWMSeQH6fV6kpKSyMzMtBhnMk9CN58vc/u/+Fmv1yv+9pNPPsk333xTrH9bSU4snQflJswdOnQogYGB+Pr65sjVEPaZkZHBTz/9xEcffaS83nxv4eDgwKxZs+jWrVu+/MOy1kFXIpFIJJKKxJIlS/jiiy9yNPL56quv6NKlSymP7i5Hjx5l/PjxSgER9dmmv78/a9asKVBen7l/IP2FsofBYKBr167ExMQoBYUA2rZtyw8//FBmPrPBgwfz33//5fBJAebPn6/kveWX3ArPSiQSiUQikZQ1pDj3HlgS6Iogvwi4urq6MnDgQEaNGiWT3soJeQkPLl68SEREBFeuXOHQoUMkJCRw4sSJHFWm1N11xabG0kG0eULbm2++qRwESSQFRWwub9y4wYsvvkh4eLjFAz5zhM1a6irq5ubGvHnzaNeuXb7GUBCBLtwVr9nZ2ZGYmKgc/hgMBs2h1cSJEwkKCsLJyanIfyNJ0YiPj2f79u0sXLiQGzdu5Jrs3aNHDz766KNCCXRzE+aqk9UsdczNK7giO+hWbEpCoJubMFdtl+Je6kRM9WuFHyAeU3fls7GxITMzU1M0wc7ODkdHR1q0aIGnpydPPPEE1apVo2nTppr5UNwrIiKCPn368NlnnykB/7ISXK3o5CbMVSffmB/MqIv5jBo1ir59+0qBrqTMsnXrVk2nOmHL69evp0WLFkRFRbF48eJSEeh++eWXrFq1ipSUFEBbhAOyRZhqMaQYl/r9iH/Xr1+fefPmUb9+/UKPT5I/xOcYHR1NQkIC/v7+eT4/OTmZadOmsW3bNoAcfqjRaKRx48bMmTOHOnXqaF577tw54uPjOXjwIGFhYVy7do1Lly5hNBo1h9FiflYnV5rP4eJ55smRIgagvp5Yr1NTU3N8f9QFlKRAV2JNZAddCRRNoJuRkYFer88hzDXfj0PxC3OnTp3Kjz/+qJlf1QJd9T2ln1p6hIWFMXjwYGJjY5W4nrAt8dmJ9fWZZ56hZcuW9OvXr8TjfNYS6BZEmNu/f38+/PBDQK7vFZH8CnQnTZpEp06dAAgJCWHIkCEaYa46RgBSmHu/IGzl3LlzDBkyhDt37ii+mrCHypUrs2jRIpo1a1am17mLFy+ya9cutm3bRkhIiPK4GK9arAvkiI+Kx9TnrHXr1qVdu3a89tpruLu7y3i9RCLJF9Y6K7pXx1y17+jr60vdunV5/vnnqVq1KrVq1cLJyYlbt24RHx9PUlIS//33HzExMZw9e5bw8HClSLwadZEkMUbzWJTY14vz/meffZbPPvtM894lxc+9CrWq/bqxY8fy2muv5duf27ZtG2+//bZig+Zi32rVqrF+/fp8nyVJga5EIpFIJNZFrI/ffvstc+fOzRH7nDp1KoMGDSoz8Zyvv/6ar7/+GkCzrptMJv73v/8xePDg0hqaxMpkZWURGxtL165dSU9P13zejzzyCD/88EPpDe7/EbGtP/74g2nTppGYmKjEjIS/269fP2bMmKGJGUkkEolEIpFUFKQ4Nx8YDAa+/PLLHAJd0UnVYDDwwgsvKFUOJeUTSwff4mDk/PnzJCYmsnfvXq5evUpoaChXr15Fr9eTkZGheY1aKKk+WJECXYm1iIuL480332Tfvn2KvYkNrL29PTqdjvbt2+Pm5oatrS1Xrlzh0qVLJCUlAVg8XHR1dWXOnDk8+uij+RrDvQS65kn0AkuCySZNmvDJJ5/k2jlSUvIkJCTwxx9/sGjRIo1A1zzZuzAC3dyEuWq7LKgwVxAaGsrs2bPZtWsXIDvoVjSKU6B7L2GupQ4Q5q8XY7CUTKH+tzrBQl3JELJ9zAYNGlCrVi1atmzJQw89RPXq1alevTp2dnZcvHhR6fQoD85LhnsJc8X8Inw/SwkVUqArKasIO5k/fz4LFizQdBmtUqUK69ato3r16gAlLtBV2+EPP/zAzz//zNmzZy3e2xwx34rfm0wmfHx8aN26NePHj6dWrVqFHpckf4jP/+rVqwwdOpRJkybRp0+fe74uL4GumFP9/f1ZsGABvr6+uc5XiYmJREVFERMTw549e4iJieHQoUMkJyeTmpoK5Ex6FI+ZJ0jm1glK7YcIzEXhYr23JNCVSIqCFOhKoHAC3S+//JIqVaoQHBzMsGHDcghzS7JjrhDmivsCyr2HDRumxAskpcu1a9cIDAzUCHMF6iIWNjY2mt81bNiQ3r17065dO5o2bao8XtyJa5YEupa6W+Um0M2PMNeSWKKsJORJrE9+BLr169fn448/pnLlyvTp00cR5lrqRi6FufcXycnJTJo0id27d2vODo1GI25ubsyaNYtOnTqVWIxPHQsqzGszMzNZs2YNZ8+e5ddff8XOzk7p7Ghp32S+X/fy8sLV1ZXBgwfTqlUrmjdvXrQ3JJFI7kuKelYkYvi5dcxV+4x9+vRhwIABNG/ePMeZoqW5OyMjg/j4eG7cuMGxY8eIiYlh79693Llzh8jISM1z1TlHwtcUfmdWVha9e/fm888/V8YtfYaSIb/nQQCTJ09m1KhRBbouwObNm3nnnXcA7R7czs4Oe3t7Pv30U3r06JHvz10KdCUSiUQisR5ibRT5bOp4qMlk0vhopYkY53///cfrr79OfHx8jjOi0aNHM378+NIeqsRKZGVlER8fT8+ePUlMTFQeF3kQq1evpmbNmqU4wmxu3LjBsGHDCAsLy1E029fXl82bN+Pi4lLaw5RIJBKJRCKxOlKcm0/MO+jq9XoMBoOsWFmByeuzTE5OJiwsjBs3brBv3z5u377N8ePHSUlJUQSQgtwq9EuBrqQwGAwGfvjhB7777jsSExM1h0AeHh6MGDGCNm3a8OCDD2pet3PnTnbs2MGGDRsA6wt0d+zYwerVq9m/fz+A5iDR0vdIjNnJyYkFCxbku2uvpOQoDoFuXsJcMTcWVpgrsNRBVwp0Kw7FIdDNT8dckWhs3jFP/bgo2qIu0GEpIc28y6o6qVMkM6vvIa4rhJPe3t45xi0pPvJKxADt/PXwww8rhSrE47KDrqQ8YDAYGDFiBIcPH9YUFXjwwQdZu3at5rmlKdA9cOAAu3fv1lR9Fd81IehRP18tDmnXrh3PPfccjz76KJ6enoUejyR/qOfOIUOGEBMTw9tvv82wYcPyZROWBLrm/lzDhg355ptv8PX11ayJ4vqW1slbt25x584d/vvvP86fP8/Vq1c5efIkWVlZSsKaQG1bIinSvOiGQC3GtfQcMX47OzsefPBBhgwZQvfu3Qv2R5VILCAFuhIouEC3Q4cODB8+nLFjx5YpYa6Y5/V6PWlpadSvX5+ff/5Z+qNlgC+//JLvvvsOvV6v2IqlPS1oC1+IddTGxoYhQ4bQvHlzevbsqVy3OAUGhe2gm5mZib29fb6EuVIscX+RH4Gur68v0dHRpKam5jq3SmHu/YOwj/PnzzN27FjCw8M1+wYHBwdGjhzJ8OHDC1T4sjBjyA/5sUfzONHJkyeJiYlh27ZtxMfHExkZye3bt8nKysJoNGJvb4+joyPe3t40atSIKlWq0Lt3b9zd3ZX4ZkHHKZFIJIKinBUB+eqYGxQUxHvvvae8Jq8zJuEfWIqpi5jTgQMHCAsL4/Dhw4SGhioF5Cx1zJW+ZulQkI65ItYJ+V/L1M+bM2cOixYtAnJ2uevRowdz584t1NhBCnQlEolEIrEGO3fu5NVXX1XyKMR6+vDDD7Ns2bIy5Z8FBQVx5MgRTbw2KyuLtm3bsmTJEiXnSFIx6NOnD+fPn9ecSVeqVIk1a9aUqcY4a9euVZqdqbvnOjs7s2LFCho1alTKI5RIJBKJRCKxPlKcWwDMO+gCMjB+nyEOVCx91jdu3CAjI4Pjx49z6dIlzp07x6FDh5REJEuHOlKgK8kv4lAkJSWFl156iWPHjmmS0729vZk/fz4tW7ZUDv2ysrIwGAzo9XrgboLZypUrlTlLfRAjrlMUge6///7LmjVrlK6laluH7IMldTfdb775hieffLKIfx1JcZGbQBfQiA/zI9DNTZirrjZsZ2dXJGGuQAp0KzbWFOjmJcy1dNgO4OnpiV6vx9HREScnJ1JTU4mKikKn0ymd+ARinhX3tNSJz9J7E0FUR0dH5ZqzZ8/m6aefLuqfT1IA8krEMPfpRCLGrFmzWLp0KSAFupLyQ3JyMoMGDeLSpUuaRLJnnnmGTz/9FBsbG83cWdICXfPXHzp0iN9++41jx45x9epVzRwtsLe3x87Ojh49etC0aVOGDBlS6PtLCob4vMLCwhg0aBC3bt0CoH///nz44Yf5vk5+OujmJtBVo15zLc1pUVFRJCUlcejQIWJjYzl8+DCRkZHExMQoggpxT/P50vweAkudotRrxrhx43jttdfy/beQFB71/FFREw1zE+iCds8mBbpll9wK+hSEggp0hW3k1v2npIW5BoNB8TcMBgMPPPAAy5cvx8HBocJ+d8sT0dHRjBo1igsXLmg+Czc3N9LT00lLSwOyi1ep10i1XdnZ2dG+fXt69OhBhw4dNPuh4jhXyU2ga27vQqCrLmzw4osvaoS5WVlZUiwhuadAV8RycrM1Kcy9P5k5cybLli1T5k9hE7Vr12b27NlW7xxrblvJyckkJCRw+PBh4uPjuXr1KqmpqdSuXRs3NzceeeQRatasqelWUtC1Vzw/Li6OlJQUsrKySEtLw8nJCWdnZ/R6veyGIpFIioWCnhUNHTqUl19+mdTUVJ5//vk8O+YOHz6cKVOmaO5TmLFZer3RaCQlJYXQ0FCCg4O5du0a+/fvJzMzk5s3b0pfs5QorDC3oJ+RsIdz587x5ptvcvnyZc3jOp2OWrVqsXLlSqpWrVqo9wBSoCuRSCQSSVEwmUycOHGCgQMH5lhDARYtWkSnTp1Kc4gASk7yd999x5dffqnJTwZo1KgRP/30k5I3KinfiPO+wYMHc+LECcU2hZ/60ksvMX78eCVOX9ocPHiQESNGWCyA/dVXX9G1a9dSHJ1EIpFIJBJJ8SDFuQXEaDTy5ZdfsnTpUp5++mlmz54NyMB4aaCuSiW60EDJJlyadwVQ3/fKlSts3ryZ77//PkcXPCnQlRSWb7/9lrlz52qSezw9PVm0aBEtWrTI1zU2bNjAhx9+SEZGRq4C3blz59KhQ4d8XU9t+8HBwaxdu5atW7cCKElskJ0QD+Dq6srMmTN54oknclxDUrawRgfde3XMNRfmrly5kubNmxdpbbUk0DUXdEiBbvnFGgLde3XMVc+ztra2PPzww7Rr144nn3yS6tWrY29vrxzMR0dHk5aWxpkzZ7hx44bSiS89PZ3r169rxq7uxCfmRPV7Ev8X3wmAr7/+mi5duhTvH1WiIa+OueYJtupEjIyMDObOnasU87Hk/0mBrqSs8ffffzN27FgAzTw6a9asXIsClLRA15zMzEyysrI4c+YMYWFh3L59m/j4eCpVqoSzszPNmzfHw8MDPz8/5TXS3yx+xN/42rVrDBw4kNu3b+Pg4EBGRgbdunVj3rx5BbpeUTro5kVe3XVTU1MxmUxcvHiRU6dOERYWxv79+0lLSyM8PFzzXHVHXCHWUf8dBOoue+o4kqR4EeuXwWDg2rVr1K9fv8LOA7KDbvnkXvZo3pHxXuRXoCtQ75lKs2OuuTC3WbNmrF69GgcHB2XfJCldUlNTmTFjBhs3btTYSvPmzQkKCuLff//l5MmThIWFabp+mc9DgFKEyt3dneHDh9OkSRMefvhh5V7W3ntYEuhaEl+MGjWKyZMnA9mdJsw75oqfpVji/iY3ga5AHdtRd8+Vwtz7D5PJRHp6Oi+//DKHDx/WzIsAU6ZMYfjw4Va9n3rNPnz4MCEhIfz000/Ex8cTExNj8XWenp54eXnx6quv0qRJE+rVqwcUzE7NY5rm47H0e4lEIrEWBTkrqlq1Kv379+fPP/8kNDQ0V99wxIgRvPXWW4B1/VMxVkv7nLi4OKUIfM+ePQHpM5QkJSXMNWfcuHH89ddfmnVSFHtZt24dzZo1K/R7ASnQlUgkEomkKGRlZdGvXz/OnTunPCb8x8DAQN55550yI4Lcs2cPL730ksansLGxoWrVqqxbt67EclIkxYvw80QhOHMxdocOHZRGAmXFr3vuueeU75A4KzCZTHz00Uf069evlEcnkUgkEolEYn2kOLcQGAwG/vzzTyVRWQbGS4aCbhpK63NRjzMsLIx169axYsUKKdCVWIXx48fz119/KUmLzs7OTJ06ld69e9/zO6L+TmzdupXp06eTkpJiUaDr5ubGnDlzCiXQjYiIYMOGDSxcuFD5vQgAubu706xZM0aPHq0k35WVgMD9QGHnxaIIdAsqzC1Kx1xzZAfdik1RBLqZmZnK521JmKv+2c7Ojo8++ohHHnmEGjVqKPcX63puc1hSUhLp6ekcO3aMW7du8e+//xIREcG1a9fIyMhQnifsUt2FRz0OdcVAOV+WDIXpmAtaEdCXX36pEeiaJ/lIga6kLCDmlO+++4558+YphVTE+r5s2TKNWMKc0hToFrYjgaT4SUlJ4aWXXuLYsWPo9XoyMzMxmUz4+fmxdu1avLy8CnS93DroioNlg8GAv78/CxYsKJBANzcszXfp6elkZGRw9OhRYmNjOXbsGJcuXSI2NpbIyEjNc9VJdOJaouOeFPOUHOo1edCgQVy8eJEVK1bQvHnzCjsf5LeDbrdu3Zg+fTqenp6lPGJJamoq0dHRHD16lLCwMEVYW7duXZo0aYKPj49mzsyP7d5LoKsuniauV5Y65kphbtnl7NmzDBgwgMzMTI0tDR8+nDfffJMLFy6wZMkSdu7cSUpKimYtFKiFu+LzdXBw4JlnnqFTp0506NBB08XBWjaYm0DXfG/30ksvERwcLDvmSu6JJYGuumM0ZNs7SGHu/cyVK1fo3bu3UugN7q7HHh4eLF++nAYNGlhlrhNrbUZGBiEhIfzyyy9s3rxZ6WIr5jFAcy/xO4PBgKOjIy1atGDQoEFSFCaRSModBTkrMi+eau4TFpcwN69xW1oL5BxccuRVqBXI9TyoKJ+RsK0NGzYwbdo0AI0Q2M7OjkWLFtG2bdsivSeQAl2JRCKRSAqDyWQiIyODsWPHsmfPnhzFB729vVm3bl2xFKguDJcuXaJPnz5KgyPhY9aoUYP169fj7e1dquOTWJdNmzbx7rvvAnf3Our9zvTp0xkwYEBpDg/I9keHDRvGwYMHNUWzs7KyeOONN3j11VdLe5gSiUQikUgkVkeKc4tIWdhgVXTM/8aXLl0iOjqaAwcOEB0dTWxsLKmpqfj7+1O5cmXatWtHnTp1NBvL0vycpEBXYi0iIiLo1asXqampiu089thjTJs2TSMYywv1d+Hnn39m+vTp3LlzxyoCXXN27NjBvn37CA4OxtPTE1dXV1544QXq1atH9erVASmUKEnEZx8bG4vJZKJKlSoFen1hBLrqg2tLwlzIFkBaW5gryI9At3bt2kyePJknn3xSis/KGUUR6EJOYa4QX6qFud999x3t27dXXpOXfebViU9c7/Tp01y4cIGzZ89y+PBhUlJSlIR5MWYxH6s75sr5smQobMdcc7swGo3Mnj07Rwdd9TWkQFdSFkhOTqZv376Eh4dr5sFHHnmE5cuX3/P1pd1BV6C2XTlflj6jRo1i7969mjXNx8eHTZs2FVicC7kLdMXPhe2gmxfqA0JxsKnGYDAQGxvL+fPniY6OZteuXdy6dYuQkBDS0tKU5wnf89lnn+Wzzz4DZBypuBHrVWZmJkOHDuX48eMA1K5dm9mzZ9+3Al2xhhsMBk2ysaR02Lp1K3/99ReHDh0iOTk5x+/t7Oxo1KgRnTp1ok+fPtSoUQN7e/t8+WP56aBr6TigOIoC5SXMFftyKcwt+4h55H//+x8bN25U1jDh86kTfrZv385///3HsmXLlNcLUZja7tRFAwDc3NyoXbs2I0aMoGHDhjRo0EB5rjX2IZYEupbi8+LfsmOu5F7k1UFXbetDhgzh/fffB5Bz233IyZMnGTRoEDY2NorAByAgIICffvqpSIUizdfq27dvM2vWLE6dOkVoaCiAss6qE3PF42pBmDpe7uDgwOTJkxkyZAgg5zuJRFJ+yO9ZkXruLE1hrqRsYK3zoMLy999/M3bsWOXfanGFusBLYZACXYlEIpHcr4g1MD09HXt7+yKt2b/99htvvfWWpgCh8A+6devGzJkzcXJyssawi0RCQgLdunXjzp07mk6q1atXZ9OmTbJYaxlB7Z8Vxd+6dOkSw4cP59atWzmK9Hbr1o3333+/wDmh1kbEQd9//302bNigiT2ZTCYmTZrESy+9VKpjlEgkEolEIikO5ElwEZGHksWPCA7v2LGDAwcO8Ouvv5KUlKTZ+AIcO3YMgO+//x53d3eCgoJo2bIlrVu3LtUk7dq1azNw4EAAjUDXaDRiNBqVQ59Zs2YBSIFuOSevKrcFwdKhX2JiIqBNGuvWrVu+hbmQvRm3sbGhd+/eADkEusIuExMTmTBhQoEFuuK9P/nkkzz55JN5HlDJg52SQX24+PTTT/PII4/wySefFEgM5u7uTo8ePQByCHTVXcH++OMPAKZNm4aHhweQU5grAi7F1TFXjb+/P5MnTwZg9+7dyljFGmJnZ0dYWBj//fcf3bp1s9p9JSWDmG8DAgJ47733ciRdqJNpY2NjWbZsGSaTiVGjRrF9+/YcwlzxsxDS/vDDD7Ru3Vozp+dln+J3luY2GxsbdDodzZs3p3nz5vTr14/09HTi4+M5duwYMTEx7Ny5k1u3bhEaGspXX30lhbkljDUTMWxtbZk0aRJw1zdVF2gR62xycjJLliwBKDGBrvg+2NraKuMXAl31+xA/nzx5kvHjxzN37lx8fHykLVZAbGxs6NixI2vWrCEzMxMHBwfS09Px8/PTCF5zo1q1asrByapVqzR7HZ1OR0ZGBvv372fGjBnFKtBViyeljZYe4rOtU6cOe/fuVXwuGxsboqOjuXz5cqHEuS4uLkoXiW3btmn8OTGnXrhwgTFjxlhNoJvXup+VlYWdnR0+Pj74+PgA8MILLwB3C8NER0cTHBzMmTNnuHHjBnXr1pXC3BJCrHGZmZm8+OKLHD9+HDs7O0wmE2FhYcr+tqIKdF1dXenevTuARqArMBgMNG/enHHjxpXWEO9rTCYTR44c4ZdffuGnn35SHhfrpojJCLHqmTNnOHPmDLt27eKRRx5hzJgxuOSVn2sAAQAASURBVLi43DNJXPh7er1eiTEKga75HCS+B3Xq1FGEuRkZGZrupYVFdsytOAibefjhh9mwYYNir2It3rBhAwEBAbRs2ZKuXbsq/23cuJGjR49y7dq1HJ3l1YUDjEYjKSkpnD59mvfffx9XV1cCAwNp3bo1rVq1UuyoKPO2j48P/fr1A8gh0BV+q7iHiBepxexSmCsxp1GjRsyfP18R6Aq7UHco1+l0/Pfff/z777889thjik9S0fwPSe5ER0crc4x6nqlSpQr29vZFmk/E9S5fvszhw4dZsmQJ169fV34vYvXqzj5iLja3Q/U40tLSmDFjBkajkRdffFEWwJJIJOWG/JwVQXYRDfN4//Dhw6Uw9z4jt/MgdQfb4hLmirVVnJWLfYi6ILabm1uR7qHOCXn99dcBFIGueaHhzMxMDh06xIwZM/jggw/w8/OT+x6JRCKRlEvE+nX16lXmzJlDv379ePTRRwu9pvn6+uLi4kJ8fLzmXBLg7Nmz7N27ly5dupT6njktLY20tDSlyKDwf60R55dYB2GbN27cICkpiUaNGhXa36pTpw5+fn5ER0drYtgmk4k///yT7t2789RTT5VqPEec8QgbVIuIjUajFIxLJBKJRCKpsMhomqRMk5ycTEhICMOHD+fdd99l9erVxMfHK8k8ovKzra0ttra2SvD45s2bzJkzh0mTJrF48WKgdJO0hUB36NChSuKPumuJ2JDMmjWLpUuXlto4JUXnypUrgLbzYUFRH/qtW7eO/fv3A3eTOVJTU4G7B0J+fn507NgRoED3UicK9e7dm6lTp1KpUiVNxWBzge6+ffvyfX3zqsPqxBPZrL3kUR8uDhkyBIPBwL59+/jkk0+Iiooq0LWEQHf06NHUqFFDScjU6XSan//44w+mTp0K3O3QLIS5otOPmMOLW5grEALdTp06AXftWyRAGQwGnn32WWWMkvKHedLFgw8+qBxmAxphWWxsLCtXruTNN99UDqPVnSKFXdrZ2bF8+XJat26do5p6YVEnFMNdO3RwcKBatWo89dRTvPjii3z77bds2bKFX3/91epdqyR5I+zk6tWrDBkyRJOIUdgK6UKgO2LECEDr85kLdDdv3lzgObmwmAt0+/fvj5+fn/J+RFKI+E4EBwcTGBhIfHy8tMUKSKVKlQgMDFSq8Kenp+Pi4sLzzz+v7LXuhRDois466r2OuUD3+vXrGl9UUrEQ9uLv7w9k+/8iKfzGjRuFvrYQ6Pbq1QvI3jOpiwsJgW54eHiR9mP3wvx7Id4jQIMGDejQoQNjxoxhwYIFrFixgjlz5gBSzFMSiEPdoKAg/vvvP8XnF3/769evM2HCBE6dOlWsNlKaCIHuK6+8Qq1atZTvihBArlq1CkdHR02XSEnxk5WVxZIlS/jiiy8UYa6Ia4o9shAsCv9T+I1nz55l2bJlvPjii0RHRytzX16YC3Sff/55atasqYzFvKjclStXCAoKIjY2Fr1en6MgYkG5V8dcKcwtXwh76927t1LUTL32hYSEcPLkSQDFnlu1asW7777LihUr6NevHwEBAQDK3ltdFEgdU0pNTSUqKoovv/ySN954g3HjxnHw4EFiYmJyCMkKihDojhw5kkqVKin2pk5eUhf5Eu9RCnMluSEEurVr11Y6nKntIysri5CQEGbNmsW///4LFO3MQFL+EHOVOjlW/XhBbcH8+X///TcffPABX3zxBdevX1d8CzGvCsTaqrZPMc+p45UiDgTw6aefsmXLFkAWwJJIJOWHe50VmRdLEHPlyy+/zJQpUwApzL1fuJcwV10ovTg65gqb/O+//5Q9ksBgMGBvb1+g4uy5oY7Dv/766wwePFgRQqjPPkWO1dGjR/noo4+4dOmS3PdIJBKJpNwh1umwsDAGDRrEn3/+ycqVKzl06FChz6WbN2+uOZdU74+vX7/Opk2buHPnjvL70uL27dukp6drisYB1KxZU4ogywBq23z22WcZOnQo586dK1TOhMjzGTJkCM7OzprHRUxnxowZnDt3rlTjOeJ9ie+FeUxMngNJJBKJRCKpqMiImqTMcvnyZZYsWcLrr7/OwYMHlc2sOgFXJMmoK1OJZHCDwUBUVBSzZ89m6tSpXL16tRTfTd4CXZFMDFKgW55ZunQpTz31FFu3bgUKl2yjPvR79913mTZtGuvWrSMkJAR3d3dNVwdnZ2cqV66s3KsgFLdAV2DexUwmcpQs5oeLMTExODg4APDnn38yc+ZMbt68WaBr5leg++eff/LCCy8olaaF6BGyO5OWhDBXIAS6nTt3Bu6uFSLJUt3JTFI+KYhANyoqil9++QXItkX1z0KY+9BDDxVbd0fAYoKHXq/H1taWevXqKeOW82bJoNPpiI+PZ/jw4cTExODo6EhmZqaSqFjYRAxLAl1zMZkQ6G7atKlMCXRFhXaAli1bKt3QJRWP+vXrM2LECAYNGgTcFdtWr169QNeQAl2JGnEYqJ5P4G6RDCh4ErqgLAl01aiF7Oq9FKB0ubhXF2qJ9di7dy83btzAxsZG8fMg+zO43wS6fn5+ZGRk0KJFCymALCWMRiPTp0/n+++/VwSMosq+uoiZud8vusvC3f30mTNnCAoKIjQ0NIfoxhL3EuiaC3SOHDnChAkTiIuLU8ZX2PeblzBXzJlSmFt+UM+V7du3x87OTvmMRbfyr7/+mitXrmj2uZUqVaJatWp8/PHHzJo1i8mTJ+Pj44OTk5NmDVd3coTsxJxbt27x119/MWnSJEaNGsW2bdu4ePEikC0wK6g/mZtAV40YlxTmSvJDXgJdMQ9funSJL774Qgp070OqVKkCZM9rYs66du0aiYmJBRJ/qZOAT548yezZsxk7dizHjh0jOTlZ41tAdkdIk8mkxLQcHR2pUaMGNWrUUPb86i594t/i5x9++IHg4OAi/hUkEomkZLnXWZF4jvi/k5MTPj4+OX4nqbioxREl3TEXtDHCsLAw5TFxbwBvb288PDys4jPmV6BrZ2dHWloae/fuZefOnUW+r0QikUgkJYnIVbt27RqDBg3i9u3b2NnZsWfPHhYvXlwoga54fseOHalRo4bGTxRr9s6dO/nmm2+Ux0r67FvcLyoqCjs7uxxxTnd39xIdjyQn6rzNQYMGkZiYSEJCAuPHj+fs2bMFzpkQfmSDBg3Q6/VKzo84M7K1tSUhIYFly5aVWO6RJUQx2vPnzyuPiViVXq/X7MEkEolEIpFIKhIym0BSJjl+/DgfffQRq1atIjw8XJOsI6pMA8rmArRVn0UgWVSK/vHHH1m+fDnp6eml8n4ElgS65h3UQAp0yyPLly9n1qxZAEyZMkURfhUk2UZsmAH+97//sWnTJuBuMGfx4sUcOHBAI3D18vLCzs6u0MEd9Qa/T58+TJs2DWdn51wFuuPHj2fv3r2Fupek5Mmt6m9GRga2trbY2dnx22+/8cEHH5CSklKga99LoCvm5jNnzgDZSbji55IW5gr8/f2ZNGkSnTt3xmQyySTLCkZ+BLrmBQPUVbBLQph7L8yFPTIRpGSxs7OjW7duODs7k5aWphxgFDURI7cOuuYC3aVLl5aZDrqAJiH9yy+/VB6TlD5iTVV3eFA/Xhjq1KnD0KFDeeaZZ+jdu7eSRFwQpEBXIvD398fNzU3TdQ7u7vOhaHNJbgJdyK4KXBoCXXPME+3lml5ydOrUiQkTJtCoUSNAm2h4Pwp0g4KCeOKJJ1ixYoUUQJYCBoOBsWPH8uOPP3L79m1AG79UfxZqsaPYt4g9jPAZr127xtixY7l161a+BLT56aAL2d+NI0eO8MYbbxRaoCuFuRUXYSvPPPMMtWvXVjo8i7U3ISGBNWvWkJqaqtnPqjvLjxo1im+//ZapU6dSr149jcBWHeNXC9BsbGyIi4vj/PnzvPnmm4wdO5aZM2cSEhJCWlqa5vuU37k8N4GusE8pzJUUFEsCXXUX5qysLC5evCgFuvch3t7eODk5kZGRoazttra23L59mwMHDgD5LzIg1tdvvvmGTz75hMWLFwMo85e4jpjHRNzT3d2d1q1b88EHH7B48WI2bdrExo0bWb16NV988QVPP/00zs7Omv27uNaVK1c4fPhwgcYpkUgkZYH8CHThrv+YmprKwoULlXlVxisrNvfqmAsoP7/33ntWF+ZC9t7ql19+Yfv27cpj6iJcHTp0UHxLa3Avga5aTNSrVy9GjRpllftKJBKJRFJS2NracvnyZYKCgpT1Xfh++/fvL5RAV6z9bdu2pXHjxprCVuoupcuWLWP58uXKa0rSlxRj/Pfff5UGFeJxvV5P165dAZnjUVqofc/AwEDFNsVjEyZMKJRAF+4WXx87diyAEqsX9zQajezfv58dO3aQmppq9feVH8R3MCkpCUApzmkwGKhWrRpNmzYtlXFJJBKJRCKRFDcyo0BS5ti/fz+vv/46Bw4cIDk5WdmAqKtIigNmdSVo4cSrk3nEY5UrV6ZTp05Kx8jSJLcOumIDIgW65Y9Vq1bx6aefAuDk5ATAm2++WWCBrrDvd999l/Xr16PT6dDr9WRmZvLnn3/yzz//KN8DGxsbKlWqpHldYbDUQTc3gW5SUhITJkyQAt1yQG6Hi6ILpFqU+NBDDym2VBDyEugaDAaNEEP8uzQ65prj7+/P+PHjmTJlikyyrIDkJ+nCvDOP6PRjZ2fHsmXLSk2YKyl9XFxcGDNmDEFBQYpIwFoV0vMr0F2yZEmpC3Tr1KmjBO379OmjmSuluKx0sJQ4BpCenk5sbKxSgMj88ynoIU7dunWZPHkyL774osX75gcp0JXAXT9RXZxF2FJ8fDxQtP0LWBboClsqSwJdSckj5pO+ffsSFBREQECA8vj9KtDt27cvX3/9NY6OjlIAWcIYDAZefvlldu7cqeyVRYE1Eed0d3fH29ubhg0b0rBhQ+zt7bG3t9cUbwM0PuO1a9cYPXq00iXvXrZbUgLdvIS5IjlECnPLN0ajEWdnZ1588UWcnJwU2xM2cujQIUWErk4Eg2xfICAggGeffZa1a9cyZcoUnnjiCeX55navLtAp9k5Xr15l2bJlvP7664wZM4YjR44QGRkJoElAuhe5CXSlMFdSWKRAV2JOVlYWbm5u1K9fH8gW1xqNRu7cucOvv/4K3J0nc1trhX3ExcVx4MABhg0bxldffaV0s1V39hP/FnOgm5sbrVu3ZtGiRcyZM4fAwEBatWqFh4cHnp6eVKtWjV69evHWW2/x3nvv4e7urtm/29rakp6ezooVK4iMjJTzoEQiKXfc66xI7E8AYmJiWL58uZKXIeOVFRcbGxuioqIICgoiNjZWI8xV+2WdO3cmKCgIgIyMDKuvg9euXWP79u1K4Q5hb7a2tnh4eNCpUyfAusUxchPoCl9E7IO++OILq99bIpFIJJLiJiMjg8mTJxMdHY2Tk5MiVBV73MIKdLOysnBwcOC9996jRo0aGAwGxS9Qx8NXrFjBtm3bgOyc5uJG3CM1NZWLFy8qj4kYfFZWFvXq1QNkAeHSwsbGhsjISAYOHEhsbKxyHiI+p6IKdB999FHatm2r/FvYhI2NDbGxsaxcuZJTp05Z9T3lBzGOnTt3EhYWpnxPxDlQ3bp1cXBwkP6mRCKRSCSSCok8TZOUKXbv3s0rr7xCbGyskrgmNiQiOcZkMlGjRg0aN27MwIEDGTBgAE888QStWrUCsrt82dvbYzQa8fT0ZPz48bRr166U3102eXXQNRfofv/996U5VMk9WLVqFTNmzADubiJTU1Oxt7cH7gp0t27dCuQ/0JGWlkZISAiAIhgTSRanT59WAihZWVmcOHGC8PDwIr8HKdCtWNyr6q95F8hXXnkFKJwAJy+Brvo/uGtnpS3MFQQEBDB8+HBAJllWRPKTdKHuoiuC5mvWrKFNmzbFctAuKT+4ubkxYsQIRo4cqdhBUYW5AltbWyZOnFguBLrOzs48/fTTzJw5E5BzZWkj1tJz587xyy+/MHHiRAYOHEjv3r3p0aMHvXr1on///rzzzjv89ttvXLlyBSjc4V+1atVwdHTU3LegSIHu/Y3JZMLFxUXpvqwusHX58mXi4uKs8nnn1kFXFBeQAt37E/V88txzzzF06ND7XqDr7OysrAdSAFlyZGZmEhQUxP79+xUBrVpA4+fnR2BgIEuWLOHnn39m69atbNq0iTVr1vDJJ5/g7++vJGmo46Jifjt9+jSLFi0iMzMzX+t1cQt07yXMFUXmpDC3fCM+4+bNm1OpUiVNtwgbGxsuXLjAokWLlH+rUdup0WjE3d2dwMBAFixYwIwZM3j66acVexH7dfU1hMBb3O/69evs27ePV155hTfeeIPVq1cTERFh8d65oRbourq6kpmZKYW5kiIhBboSNTY2Nri7u9OxY0cguwufmFP++usvPvroIyB7fhWFNQU6nY7g4GA++OAD3nvvPQ4ePKgUJ1aLeoWfIO7xxBNP8Pbbb/Pdd9/xwAMPKHsz8+KFgCLSffvtt3FxccnRGT02Nlbp6if37RKJpLxxr7MidWH42NhYli1bJgW69wGJiYl4eHjg5OREZmamxeecPXtWydHR6/VWt4V///2XXbt2KXt+sdcxGo3UqVNHyWuy9l7EXKAbGBiIh4cHJpOJZ555Ru6DJBKJRFJu0ev1vP/++/j6+pKamqopkFUUga5YO6tUqcKgQYNwdXXFaDTmKBJ448YNvv/+e/7++28AZV9dnIgx7Ny5k0OHDimPC1/3+eefV87HJKXHkSNHcHBwUIqgmZ/FFEWg6+fnp8SdAE3hS1tbW65cucJnn31GaGio9d5QPhDv8dSpU2RmZirxKxG36tWrF3q9XvqbEolEIpFIKiQ6kzz5lZQR9uzZw0svvQSg6bKjTl7z9/enU6dODBo0CHd3d1xcXJTXGwwGDh48yK5du/jjjz+IjY3F3d2doUOHMnDgQCpXrlzyb+oehIWFsW7dOlasWKEkpFkS0I0ZM4bXX3+9NIcqyYWjR48qwgPRFRTudtBNTU0FYNu2bdSvX/+eCZPi8EUtgDUXVYjnwN2E9G+//dZqXR7V1/j555+ZPn06d+7c0YxBfB9dXV2ZM2cOjz76aJHuKbEueQlzRTK2tbpAqklISOCPP/5g0aJF3LhxQ1PlVy2C1Ol0LFmyhHbt2skkXEmxI2wvJCSEjz/+mOPHjysJZubPc3d3Z8KECQwcOBCQB8+SuwkaCxYsoGbNmkqFdGvZhdFoZPbs2Upyh7qbmFhnXVxcGDVqFH379qVatWpFvmd+EO/PaDSyd+9eTXV2+X0oPdLS0pQOYfv27SM2Nlb5nTigMT+o8ff3p3379owfPx4nJ6fSGDYAUVFRLF68mFWrVgHaPZ7JZEKv19O+fXvef/99atWqJW2tgjFu3Dj++uuvHIKDbdu20aBBA6vdJzk5mWnTpikVqc27TRgMBho2bMg333yDr6+vZj8lqbio55NNmzaxYsUKpQiWen8rEiRq1arFnDlzaN68ubQRSZHJzMxk6NChHD9+XOmUK4SpAIGBgXTp0kVTRNDc7hISEpg1axa7du1S1n71700mE82bN2fmzJnUq1cv32uoeF5GRgZLly5lw4YNGkGj+XejTZs2zJs3Dy8vL00ikxopzL0/+fbbb5k7dy6Q3XUsKysLX19fZs+eTfPmze95DbXdp6amcu7cOZYsWcL58+eJiIjQJCoJ1N8D846RjRs3pnHjxrz00kt4eXnh7u6u/C6v78jNmzfZtGkT8+fPp3v37sybN++er5FI8uL8+fOMGzeOsLAwTYEFMbfa2NjQoEEDJk+ezGOPPQbkXAck5R/xmZ46dYo333yTq1evKnsjdYy+d+/eDBo0iKZNm6LX65XXb9myhRMnTvDTTz/lEPaq50UxF9ra2lKnTh169+7N6NGjc9jcvYiOjmb27Nls3bo1R2GOp556ii+//NIqfxeJRCIpDe51VqQWT3h7ezN8+HBGjhwJSJ+wopLXuaFYZ61tC+L1e/bsYdy4caSmpirxcnEu4+XlxZIlS2jSpEmx2p762jNnziQtLY2pU6fm+J1EIpFIJOWNkydP8sYbbxAZGamss6LAoNjntm/fnpdeeolHHnmkQGve5cuXmTVrFv/++69SYAPQ7L1btmzJyJEj6dKlC1D86+qVK1eYNm0ahw4dUorQiMZHH3/8Mf369Su2e0vyz8aNG1m+fDkXLlwALJ/F+Pn5MWfOnHz7gepY4vjx4/njjz+UvEzzZhUtWrRg9uzZ+Pr6Fu8bVXHkyBHGjh1LQkKCcn4kCifNmTMHPz+/EhuLRCKRSCQSSUkixbmSMsHhw4cZO3YsiYmJuQpzX3zxRZ588kkefvhh5XWi+rg6YJ6ens7Vq1d59913CQgIYPTo0dSuXbtk31AByE2ga2Njg16vJy0tDX9/f7Zs2WIxCU5SeojN8IkTJwgKCiIjIwN7e3tNlfLXX3+dMWPG5PuaIqkxKSmJN954g/3792s25eruEUajkdatW/Ptt9/i4uJilSQeKdAtv9yrY656PrWmMFeQkJDAn3/+ybfffqsR6Jp3K+3Tpw9vv/02np6eRb6nRHIv8iPQVR+0v/jii0qhEHkALcnIyFASI61tD2VdoJvbvyUlS3R0NCtXrmTv3r2cO3dOk8hrqYOdsB3xvIcffpgRI0bQpk0bnJ2dSyXhWwp07z/EZ/j222+zZcsWRawj9kmLFy+mXbt2VrVHSwJdUblaCnTvX6RAV1IaWBLm2traKoXcpk6dSq9evXB1dQUs+1oiLpScnMx3333H+vXriY+Pz9F9EWDChAmMHj26QGO0pkBXCnPvP8T8GBwczKRJk4iMjFQeF7ajjjnl93ri/3FxcSQlJbFo0SI2bdoE5N5ZVMzT5j5wjRo18Pf3Z/DgwbRo0SJf8aeIiAjOnTtXYolzkoqPFOhWXAr6ORkMBt59911+/vnnXM8+q1atire3N/Xr1+fWrVskJCRw5swZZc03jwGI+U7MjXq9nuHDh9OxY0dat25dqHEC/PHHH4wfP165h7hPzZo12bx5M87OznJulEgk5RYp0JUISsMWxN755MmTDB8+nDt37ijru7ifk5OTckbp7OxsvTecC5bei7R1iUQikVQEilOge+jQISZMmEBcXJwmv0Md7wkICGD48OE888wzQPGtr0ajkQ0bNvD5559r8jpNJhNdunTh66+/tvo9JQVD/dn/9NNPrFy50qoCXeFjxsTEMGHCBI4ePZrDHoVAt2XLlsyYMQN/f//ifdPczR/96quv+PHHHzVxe5PJxLBhw3j77beLfQwSiUQikUgkpYWMrElKnZCQED777DMSExOVjbB59eiPP/6YcePGKcJcERAXmwg1er2eRo0asXz5cl577bUyLcwFqF27NgMHDmTo0KHKe7azs8PGxoa0tDQeeOABfvrpJ2xtbS0mIklKD5Ec0bJlS1auXIleryczM1MJ5kycOFER5loSUFhCfAdcXV2ZN28eHTp0UETokJ14ITbRoaGhbNmyhczMTKsk76iTPHv37s3UqVNxdnbWjMFoNGJnZ6d0+N2/f3+R7yspGsIewsLCLHbMLW5hLoC7uzvdu3dn9OjR1KhRQ6n0K+xG/Lx161amTZtGUlKSVe4rkeSFmDMDAgJ47733ePDBB5WKkQLxHYiNjWX58uUsXbpUeVzdiVJy/6HuWGLtAxNbW1smTZrEiBEjADQCBbHOJicns2TJEjZv3kxUVJRV758b5u9TJmKUHjdu3GDChAksX75cEeaqD1DEAYb6MEMk8wghzOHDh5n9f+ydd3hURReH3/QEQjqQQCiht9B7EaRLLyqEroDiJ6KIqCAgokiRJqCiiHRUUBApAiIgVXqvoSVACCGV9Oxu9vuDZ27u3fRk02De5+Fhs3v33tm9szNz5pzfOfPn88cffxAdHV0ggd6lS5dm9OjRDBkyBECp6ANPx+ikpCSOHj3KF198wf379+XY+wwg+lmdOnWU/ghPxza9Xs/58+fNfk1HR0emT59Ojx49lGsJ+1mMqTdu3ODtt9/m3r176Yp8JM8W6vGkX79+DBs2jBo1agBo7FshmLl//z7jx4/n4sWLso9IckRmwtwFCxbg5+enCHMh7bWWSHTl6OjIG2+8QcOGDZXnRVCFWDf+999/xMTEZKu/it+Gra0tI0eO5OWXX6Zs2bJA2r+NkydP8u677xIeHq4JYMpImCv2A6Qw99lD9I/69etTr149zbpN3FdR/TY75xNrXDc3NypUqICNjY3yvNjXUh+vFomrg+CsrKwICgri33//5c033+S9995j6dKlhIeHk5iYCKT4FdS/m7Jly0phrsSsVK9encWLF1O+fHll7DZNsnDz5k3mzZvHwYMHgfSF6JKCRYwZ8fHxQPbuk5izp02bRtWqVTX2sPrx48ePuXLlCtu2bePo0aNcvnxZuZaYSwXqedrZ2RlfX19Wr17Ne++9pwhz1fN5VhCfp3Xr1tSoUUNToddoNPLgwQMiIyPl2CiRSIo0mfmKxBwNT31FK1eulL6iZ5T87gvCdr5+/Tqvv/66RpgLKfZHvXr16Nq1a74Ic0ErCAHt55ZIJBKJpChTt25dvv76a7y8vBTbW+w9Cjv86NGjLF++nOPHj2drbm/WrBlTpkwBUuI7hO0s1glXr15lyZIlbNiwATD/WlKc6/Tp0yxZskRZW4h2+Pj4MHz4cM2xkoJBfe9feeUVhg4dSrVq1YC0fTEBAQGMHz+eK1euZKnfiP7s7u7OiBEjqFSpkqY/isdWVlacP3+ejz/+mDNnzpCUlJQnn1esLU+fPs327dvR6XSadjRs2JCxY8dqjpVIJBKJRCJ51pC7a5ICJSwsjA0bNnD79m0gxSi0trZWgteWLl1K//79NRvRGW0Miw11R0dHJbissKMW6ApBnQheW716Nfb29qkq/UkKB2qB7rp16xSjcsKECbzxxhsASkBmVlELdBctWpSmQFecNyoqip07d3LlyhWzfyZIX6ArNpmio6MZPXq0EkQkyX/UFXP9/PwUYa5Op0uV6CCvhLkCZ2dnunbtmqZAV/149+7dTJ06VQp0JfmCDLqQFFasrKx4//33NQJdsV4oSIGupOC5ffs2I0aM4PTp00oCFnXVGvX8LcYytWBBBPZYWFjg7+/PmjVr2LFjhxJMnN9Ige7zhbAXvLy8MBqNmkBygMjISM1x5iI9ga54LAW6zydSoCvJLzIT5i5dupRu3bpl+Xyi7zo6OjJt2jRKlSqljKfquf7KlStERUVle0zNrUA3MTExQ2GuWkwkhbnPHqL/jR49Gi8vL2WcFdWSY2NjOXnypObYzFDvnU6aNEnpUxYWFprAdTc3N8151X0/OTlZ6b+in504cYKlS5cyatQopk+fzo0bN0hISEj1XjUyIF1iLqRAt+ijTog5fvx4du3aBWT9PllaWmIwGHB0dOSLL76gQoUKmsBgU5+PeF78E4m5xLlEMGNycjJ169blnXfeYfHixTRo0CDNRIRZRbTB1tYWGxsbkpOTlWvZ2NhgZWWVZ4GbEolEkp9IX5FEkF99QS3MHTx4MDExMdjY2Cj2jLhGyZIlGTlypLJnlV+obSIZhySRSCSSZ4n0BLrqPcjsCnTFOqFbt258+eWXgDYBu9hDMBqNBAYGMnPmTBYuXAikzPnm2POxtLTk1q1bfPjhh4SGhmqqAzs4ONCuXTtq1qypua6k4Mhrga64RvPmzRkwYABly5ZNM8m7lZUVly9f5tNPP2XHjh2Eh4cr1zUH4nqXL19m+vTpREZGKr4yo9GIh4cHvXr1wt7eHpBrT4lEIpFIJM8ucgUuKRCE4XD16lX+/fdfEhISFINQXeHxu+++U7LWZ4eiuIAXAl2RvapatWoyeK2IIIzhunXrsnbtWj744ANGjx4NpBZAmganp2dEZybQFdcFOHPmDCtWrCA0NNTsnwnSFuiKf/DUsZTVYDuJeVELc00r5opgxPwS5gqyKtDdtWuXFOhK8g0ZdCEprFhbW6eqoCsFus83AQEBDBkyhMDAQGX9LyroiTnd09OTKlWqUK9ePWrWrImDg4MyzgkxjHhsYWFBQEAAP//8M2fPngUKJkuuFOg+f3h6emJlZYW1tbXGhrl27ZoSUG5u0hLoqiv3SoHu80lRFuhKO7tokBVhbseOHbPdl4Sgx8PDg9atWwMoVcFFIi6dTkdUVFSO2p1TgW5ISAh2dnaAFOY+r4g1XOnSpalQoYLynOgz8fHx/PrrryQkJGQpWaF6j2ry5Mls2bIFeNqn1BUjx48fz/z58xk4cCAODg7KGln0K7VwTeyLiT2oK1eusGXLFgYOHMiUKVP4448/lAAkiSQvkQLdootamPvKK69w4MABNmzYwL59+4Cs3ycxDvr6+jJ9+nQqVqyYyh4W5xHBtOJvYdOrkxT4+PgwaNAgfvrpJ/z8/JSkSObY67e1tdUkSRZt0+v1cl0qkUieGaSvSCLI676QnjBX2DciFgTgww8/pE2bNsp1JRKJRCKR5J60BLqgTe6bHYGu2n7v168fkydPBrQ+b7GXIOLjvv/+ez766CMuXLhAUlKSJvFmVlGvDZKTkzlz5gwjR44kODhY2S8Q169duzYjRozA0dExW9eQ5C35IdB1dHSkT58+9O7dGw8Pj3QFuv7+/ixevJgff/yRu3fvmm0f0sLCgmvXrjF27FhCQkI0/iILCwuaNGlC586dpY9IIpFIJBLJM4+FUe7uSQoIvV7P4MGDOX/+vBJMoxbmzp07l169eimGwvPC7du3OXz4MAMGDJDBa0UM9YZHZn+fP3+eevXqAWTYx8V7oqOjee+99zhy5IgSbAYpwZoAffv2ZerUqRQrVsxsn0kdIPfnn3/y2WefERsbi62trZItXQSaSvKXjIS5+V0xNy2ioqLYvXs3y5YtIygoSBnnxYaPeNy1a1c+//xzSpQokedtkkjEeHvt2jVmzpzJ2bNnNZXpRaAkgIeHB6+99hojR44E8u+3I3k+0ev1LFiwgJ9++glAGcNF5RS9Xo+joyMjR46kX79+lC5duoBbLMkLgoKCeO211wgICFDmdPX9b9GiBS+++CLNmzfH1dUVGxsbkpKSePDgAefOnWPz5s2KABe0WXiNRiMtW7ZU+lhB2ViPHj1i+fLlrFu3DkATZGw0GrG1taVly5ZMmTIFb29vOfYWYRITE+natSshISEaR3OFChXYvHmzJujb3MTExDB9+nS2b98OpAjcxWO9Xk+1atX45ptvKFeu3HO35/C8oh5PNm/ezJo1a7h27RqAxsYW60Fvb28WLlyIr69vgfQR9f7BtWvX8r16iiRrZFWYm1s2b96sBPsAmmCNr7/+mi5duuT43OK3kZSUxIoVK/jtt9948OABkPZvo2nTpvz444/MmzePNWvWAFKY+zxz+PBhRo8erQQOiT0fvV7PxIkTef311zMcP02FuZs3bwZQ+ovY15owYYKSCBHg2LFjnD9/ntWrVxMVFaVJJggp619I+b2IdomAoylTpiiJYySSvOb69euMGzeOwMBAze9FjK2WlpZUqVKFDz74gBdeeAEoOJtNohXm+vn5ERYWpowxDRo0YOTIkbRv3x7I/n26efMmkyZN4uLFi8pzYsxTr//E3KnX67G1tQXgzTffpHnz5jRq1ChH184Io9FIYmIiw4YN0ySpEWPpn3/+qQSOSiQSSVFAPUamtb8ofUXPJqaxGVm5V3nRF9IT5up0Oo3PB2DmzJn0799f0xaJRCKRSCTm48KFC7z77rs8fPhQ45dWx1u2bNmS0aNH06xZs2yt89asWaNU0VWfG7TFierUqUPbtm0ZPnw4Tk5OyjEZzf2mrwUEBHDkyBG+/fZbTcVccZ0yZcrw008/UbFixSy3X5K/qNeOmzZtYu3atdy4cQNI2xdToUIFFi5cSK1atTJd14r+EhYWxvfff8/OnTsJDQ1V9rNM7aPixYtTvnx5Pv74Y5o1a5ZmGzNCfb4nT55w9uxZpk2bxqNHj1L1zapVq/Ldd9/h7e2dsy9OIpFIJBKJpAghxbmSAmPVqlXMnj1bCV6DlCpO7777Lm+99Va+tENcUxjdptWmChIZvPbsoHYGTZo0iS1btigCdMidQFe9ofPKK6/wySefYG9vb7a2mwp0Z86cqVRmWbJkCZ06dcr0M0jMS3rCXBEAXNDCXEFUVBS7du3i+++/1wh0ISUznBToSvIbGXQhKawYDAbmz5+vEeiKqiliXHd0dGTUqFH07dtXCnSfMUJDQxk/fjwnT55M5bBwd3dnypQpNGzYMNV9V49LycnJTJ8+nT179hAZGQmkVNoRr7/55puMHz8+Xz+bKVkR6LZq1YpPPvkEb29vucYsgiQnJ6PT6ejRo4dSoRaerv9KlSrFzz//jKenZ562IS2BrrD31c7Ab7/9Vgp0nyPUY+aWLVtYs2YNV69eBdIX6C5YsIC6devmax9R7x98/PHH/PHHHzIpViEkP4S5ot+dOXOGwYMHa/Z/xDV/+uknmjdvnqvrZFegW7JkSR4/fqy0Qwpzn0+MRiORkZF8/PHHHDx4ULO3bjQaad++PUuWLFEqPpuOoVkV5n7wwQeMGjUKgKSkJEWkBvDgwQN27NjBoUOHOHnypHJt0/UlpFSeTk5Opnv37syfPz8Pvx2JJDVZEehWrVqVCRMmKAJdScEREBDA4MGDCQ0NxcbGhuTkZAwGA5aWltSvX5+RI0fSoUMHIPt+EZ1Ox48//siZM2c4dOhQuse5uLjg6elJv379qF+/PnXr1lVey4s9ymvXruHn50d8fDyAYjuVLFmSbdu2yco7EomkyCBs6sjISIoXL66M41Kg+2wj7snt27dZt24d06ZN0zyfEebsC9kR5s6YMYNXX301y+2USCQSiUSSM/JSoPv777/zySefACl++bQKrlhYWODj48M777xDtWrVqFy5snIOdUyIabIRo9HIX3/9xebNmzl37hwxMTGpYglcXFxYv3695pySwkl+CXTXrVvH1q1bCQoKUvqlOsGluhrvm2++SbNmzWjZsqXynOhfpntepv6es2fPsmfPHv744w8iIiJS9U0PDw/WrFlDpUqVzPMFSiQSiUQikRRypDhXUmCMHz+ev/76SzFKhVCrffv2TJgwIc8MxrQMFWEUmBq46R0vkWQHtWE6bdo0Nm7cqLyWVwLdKVOmYGdnZ7bPYFplaNq0aSxYsIDOnTtn2naJecmoYi5o+0JBCnMF6Ql0ZQVdSUEigy4khZW0BLppVdCVAt1ni8TERJYvX86KFSuIj4/X3O+SJUuyYsUKTYWatNZdajtm4cKFrF69mqSkJOV4YWvVq1ePuXPnUr58+fz7gGmQkUAXwNbWlpo1a/Ltt9/i5uZWUM2U5BDRH8eNG8eePXs0az6AFStW0KpVqzxvh6ygK0mLwi7QVY/nn376Kb/++isADg4OfPXVV1KgW0jIr4q5os9dv36dV199FYPBoNj7APb29vzyyy9mqaycVYGuum1iXJXC3OebFStW8NVXXwFoksYAfPnll/Tr1y/Ve3IizDW1xcXf4lpr167l3Llz/PXXX8oxIoBIBMIZjUZ69erF3Llz0zynRJLXZCbQtbKywtvbmy+++IImTZoUdHOfS4xGIwkJCfTr1487d+5ga2urzO9qIXVOBbrq4EaDwcCxY8cIDg7m4sWL6HQ6jEYjFStWxMPDgzp16lCxYkVNIta8WI+KNm3cuJEZM2YAaCqN169fn19++cWs15RIJJK8Qoxp9+7dY9SoUTRo0IAZM2Zga2ubZhxIdn1FI0aMSHd9Kik40qp637dvX2bNmgVkbf40h98wPWFuWj58KcyVSCQSiSR/SUugK/a4cyvQ3blzJ7NmzSI8PFxZDwi/qNi/FHEfxYoVw8nJiX79+lGrVi1atGiBjY2NJiFhaGgo0dHRbN68mZs3b7J//37lNXWyzOTkZMqWLcsPP/wghblFiPwQ6EZGRvLHH3+wadMmbt26pfhwRN+BlLWphYUFHh4etG/fnp49e1K9evVMYzcvXLjAkSNHWL9+PU+ePCEpKUnpm+I67u7urF69mipVqpjja5NIJBKJRCIpEkhxrqRAOHLkiLJZLQwGo9GI0WjUbETnFTExMVy4cIFLly4RGBjI9evXsbCwICEhgQoVKlCtWjXq169Po0aNKFasWJ62RfL8MH36dH755RcsLCyws7MjISEByBuB7quvvsonn3xiVoGuum3BwcFKtSsZxJ5/FIQw1xz3Vwp0JYURKdCVFFakQPf5QYxD/v7+fPzxx1y+fFlzn93d3fnpp5+oXr16lsYd9TETJkxgx44dGjGiWDMuWLCAbt265e2HywJpCXTh6edITk7WBFBJiiZz5sxh5cqVmoRcRqORJUuW5JvAMCsVdKVAt2ghHLumWZ6zQ2EV6KYnzLWzsyMxMRF7e3vmzZsnBboFTH4Jc9Wos+8DSkCPs7MzGzZsMFvgTVYEuuI3IP6XwtznF9EHdDodr7/+OidPngTQzLHt2rVj5syZuLu7K+8zhzBXjfo1vV7P8ePH+e233zh//jxBQUGKPQVIYa6kUJCWQFeQnJxMxYoVeeutt+jRo0cqAZEk/9i1axdffPEFoaGhmvWhCDDMjUA3u+vJvByv1G0ZPHgwp0+fThWk+eabbzJ+/Pg0RW0SieT5Ja2xrKD3VNTCXD8/P0JDQ3FxcaF79+589NFHUqD7jJKe71yn02V7/Z8bv2FSUhK2trZSmCuRSCQSSSHG3BV01evf48ePs3LlSk6dOqWpbqtG7Ourw/VLly5N8eLFcXd3x9ramvj4eO7cuYPRaOTJkyfKcdbW1hiNRs37a9WqxYIFC6hYsWKuvxtJ/pIfAt2YmBhOnDjBypUrOXnypOY9pvtcwufj6uqKi4sLbdu2pUKFClSsWBFXV1fCwsKIiori+vXrnDhxgoCAAMLDw5XzmSbqrlSpEkuXLpUVcyUSiUQikTx3SHGupED49ddf+fzzz5Xs0GKB36pVK1asWAGYx4FjaoycOHGCI0eO8PfffxMUFKSII9PCwcGB8uXLM2bMGOrUqUO5cuXM1i7J88dnn33Gzz//jI2NDUajEb1erziGoOgIdMVvyjQYU5L3ZORcVAc+Qt4Ic+/du4erqyuOjo45Old6Al3QbkBKga7EXJj2fXMEXUiBriS/0Ov1LFiwQCPQFc4bKdB99pgyZQq//fabJmNpiRIlmDlzJp07d87WeCPGuqioKIYOHcqNGzeUNZsQJnTo0IEFCxZgY2NT4ONYWgJdvV6vCZyS682ih7hnGzZsYMaMGcp9FcLY//3vf4wbNy7f7q0U6BZdcnIvsjpmFjaBbnrCXPH7Ue8frFmzhqZNm5r1+pKskd/CXNFPFy1axA8//ICFhYVmH/Wll15i4cKFZrue+prpCXSFKF4IyqQw9/lG7O0vXryYH374QWO3GI1GHBwcWL58OY0bN9bsAYF5hLnqdqjH5ejoaCIjI/nmm2+4ceMGV65coXv37syfPz/L55RI8pK0BLoi0M7Pz4/+/fvLvdECQj2e7Nu3j8mTJxMZGZnm+jA3Al1T1NXAc5J8JresWbOGL7/8UqnqK9oEsHLlSlq0aJGv7ZFIJIWP9NZP6rExq+/JC9TC3EGDBvH48WPFnnZ0dKRPnz58+OGHmopkanIj0JXJCwqO9HznIvmj0WjU2AFZITd+w6tXrzJ06FBFmCv2CtQJg6QwVyKRSCSSgiUvBbq3bt3in3/+YcOGDQQHByt2vjo+TlxLvQ+QVvi+2j6HlDWI0WjEzc2Nhg0b8tFHHynxzJKiR14KdNXXCAsL44svvmD37t3K8+oCAeJ64pymonJ1dWnT54SfTCR2tbW1xdfXl1mzZlG+fPmcfzkSiUQikUgkRRQpzpXkOwaDgbfffpsDBw4oC3ux4M+rDMyHDh3i+PHj/PjjjxrjQASLiQ16dVCZeN3FxYUmTZowfPhwGjduDMgAcUn2OXXqFK+//jpJSUmaLKnW1tZFTqAryX8yEuaC1qmXF8LcTZs28e233zJu3Dg6d+5M8eLFc3ROKdCV5Bfqvn/y5Enq1auHra1tmr8JKdCVFFZkBd3ng+vXr/PWW2/x8OFDpRKkXq+ne/fuTJo0CQ8Pj2yfU8yny5YtY+nSpUp/EUIaHx8ffvvttxzP5+bm0aNHrFixgjVr1gDQp08fZs+eDchxNj8Q33F6Qqrc3INLly7h5+dHcnKyRkzWo0cP5s2bl9umZwsp0C06mH73iYmJ6PV6Dh06RGhoKJcvXyY+Ph4HBwcsLS1p1KgR3t7e+Pr64uDgkK1rFRaBbmbCXPVeVaVKldiyZYu08QuAgqiYC3Dnzh0GDhxIVFSU0i/FuDV27FjGjh1r9jErKwJdKcyVqAkODubll1/WVJgU/bRp06Z8++23mmRvn3zyCb///juQe2FuRhiNRoKCgrh8+TKdO3c2yzklEnMhBLr37t2TwtxCRlYEuuaooFtYuHXrFrNmzeLw4cOaoEyDwcCLL77I/PnzKVasWAG3UiKRFBSma6fTp0/z4MEDzpw5w/3795WEAnZ2dtSqVYtatWpRs2ZNSpUqlW9tTEuYa2Njg8FgUOw2GxsbXnrpJWbOnJnuWjA7vqJSpUoxfPhwxVckyX8yS2pta2tLYmIiAD/88AMvvPBCls+dXb/hO++8Q5MmTXj11VdlxVyJRCKRSMyIaTyZeJxbLly4wHvvvUdQUFCmAt2mTZtmK4ZZr9fz8OFDpk+fzuXLl4mMjARSxLZiX8F070CdCEwcJ9ba6oSZtWrVolevXvTs2RN3d/dcfxeSgiU/BLqCFStWsH//fk6dOgWQSlir7o/Cjy76vvr3pxbqqmM9y5cvT5s2bRg1ahReXl65+FYkEolEIpFIii5SnCvJd5KTkxk6dCinT59WDEexoF+9ejXNmjXL1fmFsaDT6YiJiWHBggUcOXKEoKAgQFt5TP0egdrQEAaFtbU1ZcuW5ZNPPlE27ouag11ScAhj9cKFCwwZMkQR6KZV8VQKdCWmFLQw948//uDjjz8GoGrVqowePZoOHTqYXaAr5gIp0JXkFnXfX7duHV988QWvvvoqU6ZMwdbWVlbQlRQppED32Wfr1q189NFHAIptBDB//ny6d++eq3NfvnyZ/v37K+eGp/aNlZUVq1atomHDhrk6vzl59OgRCxcuJCEhgUWLFgFyfM0PxHd89+5dfvjhBxwdHWnUqBGlS5fGw8MDb2/vNN+XVeHVjRs36N+/v2L3iPm0efPmrFq1Kt9tainQLVrcv3+foKAgli9fTnBwMP7+/hkeX69ePapWrcrw4cPx8PDA1dU1S/ewoAW62RHmSgFkwVFQwtyYmBi++eYb1q5dC6CMWcnJyZQpU4bffvsNNzc3s18XMhboWllZKQlFZL8sXKjHJSEaU9uzYlzLCzH30qVLWbZsmVJNV1zDy8uLuXPnKkkv80uYm9b75fpSUti4fv06o0ePxsHBQQpzCxnPukBX3b7Zs2ezatUqICXIWQRmTpgwgdGjRxdUMyUSSSEhLCyM/fv3s3//fo4ePUp8fHyGx9etW5f69eszZswYSpQogY2NTZ6Ni+kJc/V6PUajUeNPnTx5MsOGDcvwfFnxFYnjjEYj33//PW3btjX755JkTGbCXHWchNp3nh2y4zd0dXUlLi6OxMTEdNshhbkSiUQikWSOWpya0dpRvJ6bOTU7At2sVNA1bVtCQgL//PMPBw8eZOvWrZoCRuqExurPqhbkqpMfAjg4ONCuXTvGjBlDhQoVsLe3z9HnluSe9PqduJ/Z7ZN5LdBV+yGvXr3K4cOH+eabbzAYDOh0Ok2fVFd4TgvRN9VxS0ajkSZNmjB48GBatWol9zYlEolEIpE810hxriTfiY2NZejQoVy7dg1Ak91pzZo1NG3aNMfnFgZHUFAQe/bsYfv27Vy6dCmVCFj8bSrEVRsYphmoADw9PZk5cyatWrXKcRslzyeib54/f56hQ4dqBLqA5nFOBLrvvvsuR48elQLdZ4z0nIvCqZyfwlxbW1uSkpKoVKkS//vf/2jXrp2m6kl2kALdok9Gfawgncrqa69fv57PP/8cABcXF3r06MGHH34oBbqSIocU6D6bCKfexIkT2blzp8bpUa1aNdauXUuJEiVyHLgmxqvRo0cra0TxnNFo1Kw3CwtPnjzByckJkONqfiC+48DAQF555RWioqIAFBFPyZIl8fb2xsXFhWbNmuHh4UHt2rXx8vJSRN5pnU997xISEhg2bBgXL17UOJmdnZ3Zvn077u7u+X6fsyrQXbx4MRUrVszXtj3PmI51v/32G7///jvXr18nLi5Ok2BArMmEg9vS0hKdTqfcyzJlyuDj48OoUaNo0aJFlq5fUALdjIS5ol9KYW7Bo9frGTp0qEaYa2FhoczleSXMBTh27BgzZszgzp07mn5ma2vLm2++yf/+9788nTPTE+iK9ajsl4WbuLg4LC0tsbe3JzExMdWeoLn7ztGjRxk5cmSqvR14ui85Y8YMpk6dyqZNm4C8FeZKJEWJO3fucPbsWTp16iT3QAsZWRHoqoOBi4pAV92un376iblz5wLaxMZGo5FWrVqxYsWKVO+RSCTPD+Hh4Vy7do3PP/+cR48eKetLkaxI2EaARjwgjvH19aVHjx50794dDw8Ps6/xMhPmqn2o6rVmVsUeafmKRMUzg8FAz549+eqrr8z2eSRZI6fC3Jz0v+z4DSHtfUaQwlyJRCKRSDLDdH588OABAQEB+Pv7c/PmTWWP2sfHh2rVqlGuXDkqV66sHJ9TmzUtga46vhhyJtA1/Ty7d+/m3Llz/Pnnn8TFxREfH59mNWDTSsG2trbodDr8/Pxo3Lgx3bp1y/ZnlOQe0/4VGxuL0WgkJiYGnU6HjY0Nnp6eubpGXgt0TT/DpUuX+Pfff9m5cye3bt3SHCt+C6Z9VNiBYo0LUKdOHVq0aMFbb72Fvb29XOdKJBKJRCJ57pHiXEm+k5iYyIABAxRxLqQE46xdu5YGDRpka1Pa1Hg4e/YsX3zxBffu3ePJkyeaTM/ifxHQaWpIqBHOFfVPxGg0Uq9ePaZPn07NmjWz/+ElzzUZCXQtLCywtraWAl2JQn46FwXpCXNFALI4v4eHB5MmTaJbt245DsqRAt2iSVr9S4h5rKyscHBwSFesk59tUwtzRQBGiRIl6Nu3Lx988AG2trZpnkMKdCWFlbQEusIhJAW6RZsBAwZw/vx5TdXc+vXrs27dOrMIXD7//HPWr1+v/C3GxClTpjBkyJBCGWBbGNv0rJHWOlM4eE0DKSHF4ebk5ISTkxNeXl40atQIDw8PGjVqhIuLC87OzhQrVizVtd566y3279+vSZhlb2/Pjh07cu2ozClpCXSFQxGeioTeeOMN3n///QJp3/OGOhP6wYMH2bVrF1u2bFFeNxUJpIUQsRqNRqXfOjo68u2339K4ceMsrdHyW6ArK+YWDXQ6Ha+99hqnTp1S7GJ1ksHZs2fTp08fwHzzl+gbjx8/5r333uP06dNK3xR9ws3NjSVLltCoUSMATaC4WthtDkwFulu2bCEwMFD2y0KAaZ+7d+8eISEh/PXXX4SGhnL58mUSExNxcHBQxpKqVavSqFEjfH19NQnXzNV/1WtP0Q+Tk5NxcXHBx8eHM2fOAFKYK5GYIvt94eVZrqBrun+qXnOXLVuWjz/+mE6dOhXqzyCRSPKOkydPsn37drZv305sbGym1ZTUidHV9rmHhwctWrTgnXfeoXz58mZrX06FuVmdc9PyFak/f+/evZkzZ062zinJPRkltQby1Heent9QfZxA3f+kMFcikUgkkowRc21kZCQXL15k+/btnD59mvv376f7Hnd3d5o1a0aPHj2oX78+bm5uOZ5n80qgq/5sgkePHnH58mUOHDhASEgIly5dwmg0EhcXh06nw8HBAUtLS8qXL4+zszPdu3enSpUq+Pr6pntOSd4h+pROp8NoNLJ161bu3r3L3r17iY2NJTExkfj4eOzt7alatSru7u707dsXHx8fKlWqpJwnq/csrwW6phiNRuLj49m6dSvXr19n165dJCQkkJCQkOH7SpcujZeXF/369aNhw4ZUqVIlW59TIpFIJBKJ5FlGinMl+U5iYiIjRozg7Nmzmqw6BoOB//3vf4wbNy7Li3X1cWfPnuXQoUP8+OOPJCUlaYQ06m4uNuXF8+XLl6dEiRKUL1+eqKgooqOjNZV9TJ3SDg4ODB48mLFjx2JnZyeNCkm2kAJdSVYoSOcipBbmimuJ6rkAf/75J9WqVcvxZwQp0C2qPHr0iIMHD3L+/Hnu3r3L3bt3FaGNg4MDFStW5IUXXqBWrVrUqFEjX9qUkTBXBNCLvjxq1Cg++OCDdM+VHYGul5cXAwYMYMyYMXn8CSWSrAt0R48eTZ8+faRAt5Ajsqn27t2bhw8fap7v0KED33zzTa4cGOK9mzZtYurUqcq8KoKGBw8ezNSpU6WT5DlEXTHXz88vVQIYdYC5OFYkthLHqXFwcMDW1hYfHx98fHwoW7YszZs3x9HRkRo1arB8+XK+/fZbxZEnxqvvvvuOF198scCC0kwFujY2NhgMBpKTk+nTpw+zZ8/O9zY9jwhb1mAwsHTpUvbu3Yu/vz+AJghCBPcaDAbN/JdWsjXRx3x8fPj666+zZbPkRKC7cOFCfH19szWeSmFu0cBoNOLn58e5c+ews7NTAjDEvTYajbz//vv0798fd3d3s1xT3GOj0ciYMWP4999/NUkHRR9csGCBJkt+ZmOpun/mZO5XC3QXL17MrVu3WLRokeyXhYRjx45x6dIl1qxZQ0JCAtHR0ZrX1YFk8HTuLlOmDK+++ir169enXr16uW6D6Fd79uxh6tSpxMTEKH3W1P0khbkSiaSo8SxU0DVtQ3oVc+GpbdSvXz/Gjx+Ps7NzvrdVIpEUPNu2bWPlypX4+/uj0+kUW9V0LFMLctW2knhN7CcBjBgxgokTJ6ZK7poTMhLmgtaHmpu1ptpX9OWXX3L27Fl0Oh29evVSxlC5fs0/MkpqDVp/trl854KsCHTVawLxeObMmfTv399s7ZBIJBKJ5FkkNjaW69evM3PmTB49ekRoaKji+xG+O4GVlRU6nU553cPDAx8fH6ZNm0bVqlVz3Ia0BLqQkowLci7QFaS1FhAxAuHh4RgMBhwdHbG0tKRMmTLpFhyQ5C8PHjxg3bp1nDt3jrNnzyrPm8b4ij7p4OBAiRIlePPNN3nhhRcoV64ckPW1YH4KdNW+SoC7d+/y5MkTLly4wN27d9HpdDx58oSkpCQ8PT0pXbo0rq6utG3blmLFiuVJ8k+JRCKRSCSSoo4U50oKhPnz57NixQrFKSM2qV988UW+++47IGOjxPS1lStXsm3bNm7cuKEEhakFteJYEbRpbW3NSy+9RP369enVqxeOjo4aA2Hr1q3s27ePf/75R3M+YdiULl2adevWUa5cOWlcSLJNegJd4TCSAt3nm8ImzBVjqeiXDg4OrFmzBl9fX7M4EtMT6ELK5pXRaKRbt2589tlnUqBbgPz7778cPXqU7du3ExYWBmiDfNWOb4CyZcvStGlTxowZQ6lSpXBwcMiTOTOzirkWFhbY2NiQlJSEs7Mzv/76KxUrVszwnFkR6ArBhLOzMxs3bqRChQpm/VwSSVqkJdBVV0oTVaIHDhzIqFGjZBBlIcZgMBAeHk6PHj2IiorS2CsvvPACP/zwg1nm2XPnzjFkyJBUlf769u3LrFmzzPFRJEWQ27dvM3jwYCIiInBwcCAhIUGz7jJNcCUQ86BaKCbmQzUODg4kJyfTrl07Hjx4wOXLl1MFqInqzWlh6gzMK9QCXdEuGWCZf4j7rNfrmTBhAv/++69GxA0p90BUIhPBGOmJydXr0VmzZtG3b99styuvBboZCXPVFU+lMLfgiYmJYfny5fz4449pCsPF4//9738MGTIENze3XF1PfY/ffvtt/vnnn1T7mQA9e/Zk8ODBXLt2jRMnThAbG6sEozs5OWFjY0OVKlUoWbIkZcqUwdfXFwsLC0qWLKm5nujr2Q0KSUpKwsrKSvn9yn5ZMOh0OsLCwvjhhx/YvXu3xkZXz+HqMUuMLWKsFEknX3vtNfr374+3t3eu26XX63nttdc4efKkZswUbVHbLSCFuRKJpOhQWAS6Dx8+xMHBAWdn5xwlhrlz5w6bNm3KcF+pTp06LFmyBC8vr1y3VyKRFD3Wr1/PV199pbHPha0qxgnT5C/CPjddy4k4kFq1ajF79uxcJ/yF/BPmCtS+og8++ABfX19lT1WuX/OPghTmCjLzG5ruqXbu3JnFixcDT+03Gxsbs7RDIpFIJJJniXPnzrF7925+++03oqOjNcmmxZ64en9Rve4UzxuNRpydnZkxYwatWrXSCAazQ15W0FWTnf0Bud4sOAIDAzlz5gxz584lPDwcSNljNxqNmrgLtf9cvAbQrl07unXrpsT9FkaBbnbaldv3SCQSiUQikTwPSHGupEDYuHEj06ZNA1IypwrDZOLEiYwcORLQLuRNjdP4+HiOHDnC9u3b2bVrl/K82igW7xXOn1KlSlGpUiXeeecdfH19NVmmROZXcY1bt26xdetWfvrpJ8XRJKr86vV6evfuzaxZs6ShIckRGVXQBa0TSQp0nx/Sq2RW0BVzRd+0t7dnzZo11K1b16wbLZlV0IWn/btFixZ899132Nvbm+W6kswxGo34+/uzbds2li9frsyxpkkrIEWwI/qp2DCvUaMGnTt35uWXX6ZUqVJm7TsZCXNNheWurq6sW7eOypUrZ0n0k5GjXZ1EYcmSJXTq1Mksn0ciyQp6vZ4FCxakCqS0srLCwsICvV7PK6+8ovweJIUXg8FA9+7dCQgIUJ4zGo2UKlWKTZs2maX68cWLF/Hz81PGLyEmeumll1i4cKF0nDyHxMfHM3nyZP766y8cHByIj4/XvC7GErUYUmC6faR2OqoFXmrHo9pRrhZPVqpUiRdeeAE3NzcaNWqEo6Mj5cqVo1ixYmm2O68EYGqBrhTm5h9qkd/IkSMVEZe6j4i+U6ZMGZydnencuTOlSpXCw8MDnU5HbGwsp06dwt/fnytXrpCUlKScv3fv3nz55ZeKSC2nVULBvAJdKcwtekRFRfHrr7+yYMECQFvRWW0zv/322wwePDjHAl31PX7nnXf4+++/Nbawuk95eHjw+PHjLJ/bw8MDe3t7WrZsSalSpWjRogVlypTB09NTc96sjHu5rcArMQ8RERFs27aNv/76i7NnzyrjZXoiCfFYjbqSmYODA3PmzKFDhw65So4h+tDBgweZOHEiUVFRmv4C2r0mKcyVSCRFjYIW6D5+/Jhvv/2WmzdvMnjwYJo0aYK7u7vGDjOt4Kf++9dff2X//v0cOHAASHv/tEyZMqxYsQIfH58ct1MikRRd1FW1TROzqdeZlSpVwt3dHR8fH2xsbIiNjeXEiRPodDoeP36s8fFVqVKFiRMn0rp161wnYstImGtqo5lzrSnG04cPHyqJC+T6Nf8oiKTW6ZEdgW7p0qUZNmxYmnFPEolEIpFI4K+//mL16tWKf0dtowrE3Crm17TsapGoH2Dp0qV07Ngxx226cOEC7777Lg8fPsyzCrqSws/hw4fZuHEjhw8fJi4uLlV8nOm+u+ljtV1Svnx5XnrpJcaPH5+tNuS3QFdNRvtX0i8kkUgkEolEkjFSnCspEKKiohg9ejQXLlxIZZjY2try0UcfMXjw4DTfGxkZycOHD1mwYAE3btzg0aNHgDZATh14LmjUqBGvvfYadevWpVSpUprN8fQc1oGBgXz//fds2bIllZFfr149Vq9eLcWNkhwjK+hK1Ij7eufOHYYNG6Y4lUUfUFMQFXPt7e1Zu3at2SrmmpKeQNfS0lIRm7Vv355vv/3WrNeVpE9ycjLr1q1jz549nDp1CkipwiP+pYU6K6AIwHB3d6devXpMmjSJcuXKma19GVXMhRRhuYuLCxs2bKBSpUrZqsaXlqPdaDQqvw/15r7chJTkJ6YVdG1tbdHr9SQnJ9OnTx9mz54NyH5Z2ElOTmbgwIEam8jKygpHR0cWL15Ms2bNcl1B9M6dOwwcOJDo6GhNMF27du1YtmxZvlUolRQejEYjT5484cmTJ0RHR3P9+nWuXr3Ko0ePOHPmDElJSURFRWneo7ab1RVT0qvMZ2prmybzMF1DiEq7Pj4+lCxZEi8vLxo3boybmxt16tTByckpzbWnOH9u16YxMTH8+eefDBo0CJDBcnmNGHcSExMZNmwY58+fV+wPtb3q6enJiy++yMCBA/Hy8sLJySnVuUQf2LlzJxcvXmTlypW4u7szYcIE+vXrl6t2mlugm5EwVyS2kcLcwklUVBS//PILCxcuBLT2hjkEuup7PHbsWPbu3aupHm0qiBVYW1trEiiI14UNbfqbEhQvXhwLCwtq165NrVq1qF69Os2bN8fW1jZV29PbO5UUHMHBwcydO5fjx48TFhamydavnndNk2ykVXVC9I9q1aqxbNkyypQpY5Y23rt3jzfeeIM7d+5ofiPqNUBeB81LJBJJXlFQAt34+Hj+/PNPvv76a8LDwylTpgy+vr6MGDECX1/fdNeLQUFB3L59m5UrV3L69GmlEqZ6/1/MB87OzmzYsIHKlStnu30SiaTos3r1aqUibFpjhIODA1WrVqVPnz506dIFd3d3zfvDwsIICwtj6dKlnD9/nkePHuHp6cnbb79N9+7d003GllXyu2JuRkj7KP8oDBVzTclMoCuOgafJsl577TUp0JVIJBKJxIQNGzYwf/584uLiFP+46Z6lOhGhel9RHGuaeLJq1ap8/fXXVKpUKVdtS0ugmxcVdCWFk99//12JW1QXcwJS+UrU++2me/Rq+6R169YsWLAgTT9nRhSkQFcikUgkEolEkjOkOFdSICQlJTF79mw2bNigcfCog3aHDh1K27ZtqVWrFtbW1kRERHD27Fl27drF2bNnlez7pkY6aB0wtWvXpnXr1tnOQCTYv38/7733HomJiRpDCnKfcUvybKAOss2uwCGjCrqm1Rm/+uorevbsCUiB7rNKTEwMfn5++Pv7Y2dnp6n+BE/HyFq1avHbb78B2e9vagpDxVxTTAW6NjY2GAwGKTYrAPR6PZ999hn79+8nNDQUSOkb4rs3Fd+onxOoq38BzJ49mz59+uS6ffkhzBWoHe2zZ8/mv//+A6QwV1LwmFbQBWTVxyKEuD+zZ89m1apVGpvIaDTSqVMnlixZovyd0zHm0aNH9O3bl/DwcCBlnFafX/J8kla/ioqKQq/Xc/78ee7du8ft27e5ePEiOp2OO3fuKA5oNWlV2s1ofWCaxEMtIjKt+AdQqlQpSpQoQeXKlalTpw7u7u7Ur18fBwcHPDw8sLW1TfPz5VTQKMfOvEV8v3q9ntdee42TJ08qAkP1mnHgwIG8+OKLtG3bVnlvWmJs07XdsWPHuH37drrJ3nLaXngq0F29ejXXrl0DsifQlcLcok96Al3TIIvsCnQzqphrOp6aCnTTsr3Sq3AuBLvJyclKe9XHOzk54erqSsuWLfHw8OCFF17A1dUVb2/vnH5lkjzg3r17vP3220oAjrC3RUIzQbFixZRKTYmJicTHxxMTE6M5RtjLVlZW/PDDD7Rq1cqsdu3vv//OJ598orRT3Zc7d+7M4sWLATnvSiSSoklWBLoiMVZuBbrqquSTJ08mNDRUs/8J0KlTJ6pVq0bNmjVxc3MjJiaGO3fu8PjxY3bu3ElMTAxPnjxR7K201rFlypRh+fLlUpgrkTynbNq0ialTpwJpC3NdXFx4/fXXadeuHdWqVVPep9PpsLGxSbWm27p1K4cPH8bLy4sRI0ZkO4GRKeL8+V0xV1KwZFQx1/S+53fyn8wEuuqYJynQlUgkEolEy8qVK5kzZw6ApiquaRGeUqVK4ebmhpubG46Ojty6dYvY2FiCg4OVY8R6oGrVqkyaNIkWLVqYZX9TVtB9Plm7di2zZs1S1nFi/8Q07g2e7q+LvRX188LnKXzfNWvW5LPPPqNu3bo5apMU6EokEolEIpEULaQ4V1JghIaG8sorr2RoyJYoUYLixYtja2tLUlJSKgPbNHDX1FAfPXo07du3p0GDBkD2hGxqB/n777/Pzp07NWJgo9HIjBkzePnll3P+JUiKJKbGa2JiIjY2NoqQ0t7eXnktK30uI4EuoHmcFwLd3r1789lnn2naLSkYIiMj+e2331i/fj0PHz7UJB5QT9d9+/blk08+wdHRMUfXyW7F3PwQ5gqEQPeHH37gwYMHgBSb5Td6vZ6xY8dy4MAB5bn0xg816uBucY/UG5RDhgzh3XffpUSJErlqX34KcwXiN3P58mU+//xzRo0aJYW5kkKBwWBgwYIFrFixgu7duzN//nxAjpVFid27d/Puu+8CKQ5IeDqmTZo0CT8/PyDnY01wcDD9+/cnLCwMSBFEClGEHMMkarGMcH6rSUpKQq/Xc+3aNaXS7rVr1wgNDeXixYskJyeTmJioeY+wl8X51Im00quwCynrDbXw0jTwHJ6KyKysrKhSpQplypTB09OTRo0a4eTkRI0aNdK1a9SZi2W/z3/E924wGHjnnXfYt2+f4qS2srJSbN4ZM2bQpUsXnJ2dgazNaWnd04zel511ofo8mzdvZs2aNdkS6Or1emxsbAApzC3qmLuCbmbCXIE68YFpYoPk5GTFjjcV76Yl3FX/L86Vln3n7OyMpaUlpUqVYtCgQQwYMCDH35vEPNy6dYvhw4cTGhqq7BWZ3rsWLVpQvnx5evfujZOTEx4eHuh0OpKSkrh+/TqnT5/m+PHjXL16VRFnvfLKK0yaNAk7OzuzzI2ifwUEBDBhwgQuX76s7NeL/temTRsWLlxIsWLFNOtfiUQiKUrkp0D35s2bvPnmmzx48CBN0ZzaphLra9O1hGm71UmIq1Wrxtdff42Pj08uvxWJRFIUOXDgANOnTyc4OFjjkxQ+Qg8PD+bNm0fDhg2VBGnpjWFq+zkkJAQHB4dc+4MEISEh9OzZk6ioKCnMfQ4ojBVzTZECXYlEIpFIss+qVauUogxpVcu1s7OjbNmy9O3blzZt2lCpUiVlDRoeHo7BYGDDhg1cvHiRw4cPA1ChQgXGjBlD165dcXBwMFtbZQXd54sff/yRefPmARnHx3Xp0gVPT0+aNGmCnZ2d4ju/desW//zzj8Yv4+Pjw/jx43nxxRcVP2FOkAJdiUQikUgkkqKDFOdKCgQRCLl//34mTZpEZGRkmgJdtUErHptWlRJGhjCGSpQoQY0aNRg+fLimqm1OjA0RKPfNN9+wZMkSZWNAGDMDBgzgs88+k8G9zwmm9/nIkSP4+/uzY8cOoqOjSUpKwtXVlRdffJE6derQrl27LJ87M4Gu2slkLoGunZ0dCQkJwNMqQDVr1sz2dyIxPxEREezYsYNly5Zpgi5Bu+nTt29fpk6dSrFixbJ1/syEuUajMd8r5poSFRXF7t27+fzzz3nxxRdlRZV8RK/XM2LECE6dOqXpe6ZBW87OzjRo0IBatWrh7u4OQGxsLIcOHSIkJISAgADNHN69e3fefvttKlWqlKv2ZSbMVVccN5cwVyB+OzExMYowXs7/ksKAXq9n9+7ddO/eHZBjZVEjKCiI8ePHc/78ec06zWg00rRpU0aPHk2bNm1ydG6j0ciDBw8YOHAg4eHhGptJiLnNMT5Knj3SqlCaFg8ePCAhIYGzZ88SEBDA7du3uXLlCgaDgZCQEM2x6rWmqYAMUlfXNZ1jTdclapGPOL9er6dChQq4urpSqVIl6tevj7u7O3Xr1sXe3h5HR0fNOeU8nn+o+9TMmTNZv369MuaJtRvAt99+S/v27fO0Lep+vX//fpo1a5apTZUbga7AVJgr+rAU5hYtzCXQVd/jsWPHsnfvXmU+FiIe0Ip0bW1tKVmyJAkJCdjY2BATE0NsbKwm4Fcg+phpRXNT1M+r/7e2tiYxMZG6deuyZs0amcytgLl79y6DBg0iPDxcubdiTefg4ECdOnXo3bs3vXr1wsbGJsO5LSgoiOvXr/PNN98QFxfH2LFj6datW560e9asWaxevTrV3Aswc+ZM+vfvnyfXlUgkkrTIyLZRv5YdGyG/BLqfffYZP//8MzY2Nspeq/BTimuIv9XiW9EO9T6DsKuMRiOurq40adKEiRMnUq5cuSx9ZolE8mxx+/ZtvvrqKw4ePKhJ+CPWmiVLlmTFihWaarmZkVd7LeHh4QwfPhx/f/9UsSEghbnPEkVBmCuQAl2JRCKRSLLOL7/8wvTp0wHSTDzl7OzM4MGDadeunabKqOmcmZycTFRUFL/++iurV69myJAhDB48GBcXF7O3WQp0nw/Wrl3LzJkzgbT7ZvHixWnbti1dunShS5cuaZ5Dr9dz/vx5VqxYwalTp7CwsOCdd96hT58+OS68okYKdCUSiUQikUiKBlKcKylQYmJi2Lx5M9988w1RUVFpVsM1DdAVjyF1dqIKFSowevRoGjduTMWKFXPdPmGc7N27l7Fjx2rEP0ajUVPNUfJsI/pCXFwc169fZ8OGDezdu5f4+Pg0jy9RogRt2rThnXfeoWzZskomt6xcIz8q6KorEy1ZsoROnTpl+zuR5B3h4eHs3LkzlUDXNAt0dgW6GQlzTYWNBSXMFURERHD9+nWaN28OSCdlfqDX6xk9ejTHjh1TqiyoqzMZjUZ8fHyoX78+o0ePxtvbO9XYFhMTQ0JCAosXL+b48eMEBATQrFkz3nnnHRo3bpyr9hVExVyJpKghx8qiyfz581m+fLly74TwEODll19m0qRJFC9ePEfnvn//Pi+//DKRkZFAStDuq6++yowZM8zSfsnzham41tQOiY6OJj4+ngsXLhAREcGtW7c4evQoN27c0ASNq9cXotKuQB1ontF11UHnkH6lXXd3dxwcHKhZsybly5cHngrnspvkRpJ7/vjjD5YuXcr9+/exsLDQ7OksW7aMdu3a5aloWj1Pfvfdd3z99df06dOHTz/9NNOM6jkR6C5dupQaNWowbdo0Nm7cCMiKuc8CuRXoZkWYK9YCZcqUwdvbmwEDBlC6dGkqVqyoHBMaGsqTJ08ICwvjzJkzREZGcuHCBR4/fqzsVamr46Y1zppW01ULxn19fVm3bp3slwXM/fv3GTZsGEFBQUqFMDF2uri48NZbb9GqVSuqVKmivCcr1cRDQkJ48OABDRo0MHubxbVCQkIYOXIk/v7+Sj8Tv5H69euzYMECypQpY/brSyQSiZq0xsSoqCgMBgM6nU6xtU0DJbO6v5IVga468VFOBbqTJ09m8+bNyt8iENg0sZGpD1U9x6s/W7Vq1ejatSuvvvoqHh4emV5fIpE8W4gx6ddff2X27NnEx8enErx6eHiwbt06KlasWOB7zsLHExYWxrvvvsupU6c0PnMpzH12SE+YK+xs9T6SuYS5ue0zUqArkUgkEknm7N27l2nTphEeHp5mgQp3d3dmz55Nw4YNFTs9LXvZ9LmrV69SunTpdJNkmoMLFy7w3nvvERQUlKlAt2nTpjI2qYjxxx9/8Mknn6QqGCX6pqurKxMmTKB58+Z4e3sDpLnfI/rmo0ePOHToEDExMXTv3p2SJUuara1SoCuRSCQSiURS+JHiXEmuMM0oDWlXucmIsLAw/vrrL7755hsiIiI0gYqmlR9MA3kEtWrVokGDBowbNw5nZ2fleXMFdW7evJnJkycr1xcbBQMHDuTTTz/N9fklhRvh9AsNDWXVqlX8+++/SmAZoNlwEca56L++vr6MHDmSNm3aZElUkR2B7ty5c+nVqxeQdYHue++9x5EjR5TX1MJcWTmqcJGeQBdyVkG3MFTMzWkfk5tEeY/BYGDChAns2rVLCdw2Fea2bt2aIUOG0LhxYxwdHZX7og4gV9/jPXv2cOHCBWrUqEGPHj3M1lYpzJVIJM8KYhyNjY1l+PDhXLp0SVlXOjg4UKlSJWbMmEHt2rVzfI0HDx7Qr18/oqKigBR7asiQIUyZMsVcH0XynCP6cnprtn/++Yd3330XQFl3wtOAtNjYWIBUSY/Eb8Ha2hqj0aisg9PawkovkZdYz6gF7wDdunVjwYIFuf3Ykiwi7kFAQABffPEFhw4dArTruPnz59O9e/d8E+YuW7aMRYsWKa/169ePqVOnml2gW758eWrUqMGePXsAWTH3WSItga7pvhCkFujqdDpsbGwAeOedd/j7778Ve0XdvwwGA40bN2bcuHFUqVIly8FF4eHhxMfHc+XKFc6dO0dgYCDHjx/HwsJCWQsITKvryn5Z+AgODuZ///sfV65cUe6XSKjm4eHBokWLqF+/vnJ/sjqGmh6X0Z6L+v5nd4yOi4tj+vTp/Pnnn6kSXpYoUYKlS5fSrFkzuecjkUjMjum4cvXqVfz9/Tlw4AAhISHcuXMHnU6HpaUl1tbWWFtbU7t2bby9venUqRPly5enVKlS6Z7PlLysoKseh5ctW8aePXu4cuUKgCa5ovo8mSU57tSpE2+88QaVK1eWCYskkucYdUI/4X8U44Wbmxvfffcd9erVKzQ+FrVAd/z48Zw4cQKQwtxniYwq5pomeDOXMNd0Dre3t6dp06bZtoGlQFcikUgkkvS5du0ac+bM4fjx45rkvGJuL1myJMuXL6dGjRpZPmd+xzdKge6zybFjx5g5cyY3b97U7OGo9+C//vprGjVqlK3z6nQ6jEZjlgr5ZBcp0JVIJBKJRCIp3EhxriRbmFZUSOs1NVld1MfGxnLx4kU+/fRTAgMDNecyrR4hAnOtrKwoVaoUPXv2pHfv3pQrVw5bW1uzOonEudasWcOsWbOUjQEZ1P78IPpAUFAQn3zyCefOnSM+Pj5VtSeB6LfqvlqlShUGDx5Mjx49KFGiRKabROkJdNWVWHIq0I2JieHNN9/k9OnTLF26lI4dO2b6XknBYa4KuoWhYq46kCgiIgJXV1eznFeSe4xGI4sXL+ann35SNgkBzRj30ksvMW3aNOW+ZTRmqPtNdHQ0JUqUyPQ9WWXPnj2MGzcOSFtYLoW5EomkqCHG3D/++IMlS5YQFBSEu7s7rVu35q233sp1dYpr167h5+dHYmKipvrF2LFjGTt2bI7GZtPxVa4jJZlx/vx5BgwYAGgrOI0aNYoRI0YQFBTE4cOHCQ8P58KFC4SEhBATE0NMTIzmPGrBblpB6AJT+0xtm/Xq1Yu5c+em+T5J3rJ06VKWLl0KaIW548ePZ/To0XnqEE5PmGtnZ0diYiKQdwJdgRTmPnukJ9A1tdeFQNfZ2VmZP00r5poKc1u3bs2iRYtSVfFLD3UiAlMbKCgoiCdPnvDvv/8SEhLC8ePHCQ0NJTIyUnOcvb09CQkJ1K1bl7Vr18p+WcBERUXx2WefsXPnzlRVzEqWLMmaNWvw8fHJ0zao7//ChQtp0aIFTZo0yZadffXqVQYOHEhiYqLyOYRArX79+vz4449Z7ucSiUSSGabr+82bN3Pu3Dk2bdqkvK4OnBU+F7Xf08HBAUdHR4YOHUrdunVp3rx5tq9tboGuen4/efIk//33H8uXLyc5OVkZq0VldXE9vV6vSfQK0L17dxo1asSgQYOy87VKJJJnkKSkJBYsWMCqVas0tmpycjKOjo5Mnz6dHj165FsCray+pk6m/frrr9OjRw/eeOONTM8nKfwURMVcdf/eunUrH330ERUqVODzzz+nYcOGUqArkUgkEkkuEfPbihUrWLJkCQkJCan2OT08PFi3bh0VK1Ys9D47KdB9tggJCWHhwoVs27ZNs2ZT78GvXr2aSpUqFXBLUyMFuhKJRCKRSCSFFynOleSImJgYHj16xP79+7lz5w5hYWFERERQunRpqlWrho+PD+3atcPe3j5bxmZ4eDi//vorZ8+e5ciRI5rqNoLy5cvj7u6On58fVatWpWbNmspreWGoJyUlMXr0aI4fP64IlYSze9KkSQwfPrzQbxBIcoZw8t27d4/Ro0dz9+5d4Knxqg4qF8+p/xbBZqJaU4UKFfDz86Nv3744OzvnWKBrrgq6N27cUDJ7yf5buMltBd3CUDFXBAkZjUbGjBlDjRo1GDx4sKYCgaTgOHDgAPPnz8ff3x9IEbEI0Uvfvn2ZNWtWAbfyKY8fP2bs2LGcP39eGWOFsFwKcyUSSVEmPDycL774ghs3btCtWzf69+9P6dKlc71OO3fuHIMHD1aC7MTa4ZNPPmHo0KHZPp96Tl+7di1dunQxSzslzy7JyckEBwfTt29foqOjNfaSj48P69ev11SEjIuLIyEhgaCgIK5fv054eDj//fcfERER3L17l7i4OOVYdVUodQVIIcTNSJgrnY/5y3///cfYsWOJiYnR2CEdOnRg4sSJVKxYMc+unZ4wV+zrqEWU5hbomu4XSGHus0dWK+iOGTOGt956Czs7u0wr5rZt25bvv/8+1WvZQbwvrfk5PDycpKQkzpw5w+XLl7l+/Tpnz54lNjYWHx8f/vjjD9kvC5ikpCR+++03li1bRkhIiGYN5+HhwerVq6lcuXKe2r3q+//BBx+wfft26tSpw+TJk6lXr16Wrms0GjEYDHz66ads2bJFEZCLfVVXV1c+++wzOnbsKOdliUSSa8Q4IhIBr1mzhn379imv29jYKHO08NmoExGLvVAx3oo14rRp07IsZs2KQFcERmZXoGs6Tl68eJHz58/z119/ERwczIMHD1K9x9XVFS8vL1q2bEnr1q1p2LChUrVFjrsSyfNNTEwMr7/+OhcuXEhlr77yyiu89dZbeea/S2v8SUhIUIQNaVWXUo+PYg2ckJCAvb19uueUFB0yEuaaJr/KC2Gu2ncOULVqVaZMmULjxo2zbW9Jga5EIpFIJE8Rc+KtW7cYNGgQUVFRSqybsLvd3d1ZtmwZvr6+RSa+Rwp0iz5izXXgwAEmTJhAbGxsmqLxVatWUaVKlULbN6VAVyKRSCQSiaRwIsW5kkwxdQhv3bqVv/76ixMnTiiBseqgWEHFihVp27YtXbp0oWHDhumeTyCMGfH6xYsXiYiI4N69exgMBkqWLImzszP169fHysoKOzs75b15YTSIc4aEhDBixAhu376t+Zz29vasX7+e2rVrm/W6ksKBWpg7ePBgQkJC0gz4TgvRj9UBHkajkXLlyjFw4EBefvnlAhfoCqSQomiQU4Guemws6Iq5RqORESNGcPz4cZydnRk5ciS9e/emdOnSZrmOJOdMmjSJLVu2AE836cTmnNFopEePHsybNw8oeMewGL/Cw8MZN24cp06dwtbWlqSkJCnMlUgkzwRBQUHcuXMHX19fnJyczLJOu3DhgiLOFWJFo9HI1KlTGTx4cLbOpZ7TBw0axNmzZxk6dChvvvkmHh4ecl0pyZCXX36ZS5cuaZ5zdnZm8+bNlC1bVllnpLXe0Ol02NjYEBgYyL179wgMDOTkyZNERUVx7do1RdBrWjFXrJmlMLfgEN/13LlzWbNmjTIOiQCMzz//nL59++b59SFtYa5pJmyA/v37M2XKlFwLdIW9JsZdS0tLKcx9RklLoCv6l7pvvfPOO1y4cIF///1XsVfUtoupMNfcdo2Yp9MaAx89ekRQUBC1a9fG1tZW9ssCQtyju3fv8tFHH3H+/HlNP3JxceGbb76hUaNGeTqXqe//hAkT2LFjh9Kva9euzeTJk5X9+aywbds2Jk6cCKQEBok5u3fv3syZMydPPodEInl+UPvyVqxYwZEjR7h582aqJKvpJVpVi3QhpcKtt7c3s2fPpnHjxlluS15W0E2PqKgobt26RXx8PFFRUTg4OFCsWDF8fHzSFNdJ210ikWzcuJFp06Yp46RIomJtbc3y5ctp0aKFWa9nOu7cv3+fixcvcuLECUJCQrh9+7ZStdfFxYVKlSrRqVMnKlWqhIeHB6C1wdXnk2Na0SY9Ya6If8hPYa6trS0GgwGDwUCtWrWYMGECzZo1y/MKuiNGjGDUqFG5/lwSiUQikRQ24uLimDJlCjt37lTiLcU86OTkxMyZM+nUqVO+ref0ej1WVlbK2jene+9SoFv0CQ0Nxc/Pj3v37mligQ0GAy4uLixZsoQmTZoU+rWZFOhKJBKJRCKRFD6kOFeSIepKC0ePHmXHjh1s3rxZeV1krTTdTBZBQyKA6P3336d9+/ZKNZTsZIBOC1Mnel6yYMECfvjhB+V6whgrX748a9eupVSpUtLp84wh+uD9+/cZNmyYZkNFnTnd0tKSXr16UbJkSapUqcL58+c5c+aMJuhc7Sg0Go14e3vj5+eXa4GuyBabE4GupGiSmwq6audiWv0nP4S5w4YN4+TJk4qYskSJEowePVoKdAuYzZs3M3nyZECbWMBoNNKxY0fmzZuHvb19oRG8inaEhYXx/vvvc/z4cVxdXVm/fr0U5kokkiKNadUec7F//37eeustxSEo/l+0aBFdu3bN8nnUc/rw4cM5ceIE8DSAqGvXrowZM0YKdCVpkpycjF6vZ8yYMRw9ejRV9uEFCxbQrVu3dPuOSIqkTuSl5sGDB8TExHDjxg2uX79OWFgYZ86cIS4ujsePHwPQvXt35s+fr7RHOhvzl+DgYPr160d4eLhGlNW1a1dFLJsXY0dmwlxIXX3Z3AJd8VmlMPfZJz2BruljSEmIlJEwNz/6hvjdmdpQ0qYqeKZNm8bGjRs1+9DFixfn448/pn///nk6j6UlzBVjmEh4kROB7rhx49izZ08q4RvA0qVL6dixY958IIlE8swj1mMPHjxg4sSJXLx4EZ1Op4yh6mNEMkL1/KsOEBbrQvH6wIEDGTduHE5OTtlqU34JdLM6Z8u5XSKRmDJnzhxWrlyp7BOKMXD48OFMmjTJbNcx3YP5888/OXnyJLt27SI+Pl4RSIh1odp2srKyomnTpnTs2DHbCQYlRYOMhLmmya7yWpirjnmysbEhMTGR2rVrs2bNGooXL57j60iBrkQikUieR8Q8+OjRI0aNGoW/vz+Q4o+xsbFh2LBhjBo1CldX1zxpQ3bn0+z6qKRAt2gi+sXGjRuZNWsWOp1OuV9Go5FixYoxYcIE/Pz88nQ9po7Hz038vOlxUqArkUgkEolEUvDICDBJuogFuMFgYPny5ezZs4crV64AKIalEHiZaryFI0dsms+dO5fz58/Tr18/2rZtm2HguemiPy0hbn4FfJ86dYp//vkHQBHCCaOsS5cuUlD2DCICZx89esS4cePSFOY6OTnx8ssv88ILL9C8eXPlvd27d8doNDJz5kx2797N48ePlUBywf379/n5558BsiTQFUEj9erVY+3atakEuqKKlE6n48MPPwSgV69eeSLukBQsbm5udOvWDSCVQFcET+r1erZs2YLRaGTatGkUK1YsVcVc4dQsCGGuaKO1tTXR0dH8+OOPxMbGMnLkyGwHOUlyT0hICDt37gRS5nV4Og7WrVuXcePGYW9vrwlaMzcZJdtIqz+KzWx3d3fmzZvH1KlTmThxohTmSiSSIo86MMechIaGAijBPvB0fSmqTmSF9OZ0o9FIaGgou3btAmD06NHSPipkFAZ7wMLCAltbW+rXr6+Ic/V6vbLuuHHjBt26dUu3nWJfQTyGlP5saWlJ2bJlAahevTo9e/YEIDIyEoArV64QExND586dlfdJJ2P+Ib7vv/76i/DwcI1dbW9vT+/evYG8EQtktWKuut+pbarff/8dIFOBrrrac79+/QAUga54XghDpDD32cbZ2ZmBAwcCsHDhQk1/EsIb9f6peq+oIIS5kNL/TX9/0qYqWPbu3cvu3bs1ojJLS0teeOEFWrZsWSDCXAsLC/R6PZaWllhZWXH58mW+/PLLLAl0xVqkWbNm7N27V/E1qMfpkydP0rFjRzlPSySSbKMW9bzxxhsEBAQoFSDF3CtsB7GfaDAY8PDwIDExkeDgYGxtbYmNjQWejln29vYkJCTg4eGBn59fjvas1b6Z9u3bK2OmWqCrFgyfO3eOFStWANChQ4cs+3bSGn/Tep+c2yUSiSA5OZm4uDiOHj2qPCfGTaPRSPXq1TVJpnKDOEdCQgL79u3jn3/+YceOHcq1rK2tNeOdGBvV8SXHjh3j2LFjXLt2jZEjR1KhQoUC3+eSmIfMKubmpzBX+M7F48TERBwcHJgyZUqOhLmQshaoUaMGn3zySSqBrvh9JCcnExoayqpVqwAYNWqUZq9JIpFIJJKiiJhvf/vtN/z9/VMl63N2dqZ9+/ZmF+aq509LS0vCw8N59OgRR48eJTw8XEms6uzsjJubG23btqVUqVJUr15daWNW/ap169Zl0aJFqQS66kTZ6jW3FOgWDkT/2L9/P/Hx8RofiV6vp1WrVrRu3drs67D0xLgRERGEh4crtpC1tTVlypTBwcFBUwwooz6pXju+8sorAIpAV31dsf4MCAhg/PjxUqArkUgkEolEkkfIKDBJmqiFiJ9++il///03T548AdBkeVIbAGqBjXheHYy2e/duQkJCePLkCT179syyg7mgnCwxMTH8888/3L59G0BxCFlaWuLm5kbLli2V56WR8uxgYWFBZGQkc+fO5erVq8rmkPg9uLm58fnnn9O4cWOcnZ2BlL4hgiunTJmCl5cXv//+O7dv31bE6qIv379/nw0bNmA0Gnn55ZdxcXHJsUBXp9Oh0+mU35kU6D7bZFWg+8cff2Bvb0+tWrWYNm0akLpyT0EIc0WVFQsLC6ytrXny5AkRERFSmFtABAUFcfbsWQBlXre0tMTR0ZHevXsr1e7NOYaYjkkWFhYkJSUBTzceExMTsbOzo2TJkqn6pPhbrENKlizJt99+qxmnJRKJRKJFLWJUJxoyTa6UHhnN6fB0TREaGsq6deuoU6cOffr0yZPPIcmctObCtObw/J4zRRuEk900kde9e/eA7NnVaR2nDuZ0dnbGwsJCsdmze36JeRDf9/Hjx4GU9aZIeNWgQQPA/GKBrAhzRf8T/6sDJ9QCXaPRyNSpU7Ml0LWwsGDNmjVcvXqV5ORkxW6Xwtxnn4wEumo7SN1HC0qYKyl8iD5y8uRJoqKilOeFuLtXr15KQoq8ICNhrnrfU1TRzapAV/T7Pn36sH79em7fvq3J2J+cnMyvv/5K3759qVGjRp59PolE8uwhxqRbt24xdOjQVMlgxLhmZ2dHnz59qFWrFq1atcLa2hpXV1cSEhIIDg4mIiKC7du3c//+fY4ePUpCQgIA06dPp3Llyjn2r2RFoKuuqpNTgW5a15VIJJL0sLS0xNramri4OCDFTgcoUaIErVq10vizs4t63EpKSiIoKIgvvviCa9euERYWprTBaDQq9rk6oaA6oYLadt+0aROPHz9m9OjRNGjQQO7vFHHSE+aqfdj5WTFXCHNNk1r7+vrmah81uwLd1atXY2FhwciRI2Ufl0gkEkmRRsy7N2/eVOJshf8FYODAgTRq1Mhs11PvWQIcOHCAS5cusWXLFmJiYjR7rWrWr1+Ps7Mz/fr146WXXqJmzZqafYXMyKpAV8REvfDCC9JmLwScOXOGY8eOacSvYu350ksvUaFCBbNfU1wrJCSEhw8fsmPHDm7evIm/vz+hoaHK68nJydSsWZPKlSvTu3dvqlevTqlSpfJEoPv++++zYMECatWqJWOLJRKJRCKRSMyIjPaRpELtvH7nnXfYv3+/8ppYzIvHBoNBE9gtRGLif/X5DAaDIgJycnJSKugWNoTBsXfvXlatWqU4yEUgksFgoFq1ajRp0gRIOzBYUnTR6/Xs2rWL48ePK31b/B48PDz49ttvqVu3ruY9og+IfmJpacnIkSMpWbIkCxcuJDg4GNA6jR48eMDPP/+MhYVFrivo6nQ6DAaDpoKupaUlPXr0KJS/MUnuyKpA95dfflHeo3ZqFlTFXCHMtbKywmg0YjAY6NOnDzNmzAAKR2W35wWRdW/jxo3ExsYqm8RiXi9VqhQvvfQStra2Zr2u6GcGg4HExEQOHDjAzZs32bdvH7GxsYSGhhIfH4+TkxOenp54enrSt29fqlWrRuXKlTWZBMVmuHr8lUgkEkkKYrx8/PgxkBKga2lpiZ2dHSVKlMj0HFmd0wG6d+8uhbn5jOn6TdyLsLAwgoKCSEpKUux1e3t7KlasiJ2dHXZ2dhmex9yIvliuXDmNyEc44c+fP09cXBz29va5uk5m1ael3V4w+Pv7c/bsWU0FM71eT6dOnXBxcTG7WDw7wlxPT0/Gjh3LsmXLuH//fpoC3c2bNwNkS6Dbt29f4Knj+9q1a+h0OurWrcvatWulMPc5IDOBrkDYZC1btlSEuTqdDhsbmwJpt6TgsbCw4Pr16/z8888Amr11Pz8/XnzxRSBv9k4yE+amJS7PjkDXYDBQvHhxhg4dypw5c0hKSlKCgaytrUlISGD9+vVMmjSJYsWKmfWzSSSSZxMxFt2/f59Ro0YRHh6u7H+LtZ6TkxO9evWiQ4cOtGjRItU5bGxsFLu4adOm6PV69u3bx86dOylZsqTiA8rNmJvVCrrmFuhKJBJJRgiBgnpsEWONWiibE8Q5L126xN69e9m8eTMhISEaP47YD1Lv45iOdeok8OI9Bw4cIDk5mfHjx1OzZs1ctVNScIg5PDAwkMGDB2sq5qr3jQAmTpyY5xVz0/Kdr127Fl9fX2WOzg1ZFegajUYeP37Md999h5OTkyKqkEgkEomkKGJhYcGjR484dOiQYveKed7W1lYR5prDPynOkZiYyKlTp9i9ezcbN25U1pDW1tbKPiegSZSVnJxMZGQkP/30E//99x/t27fnjTfewNbW1iwCXbG+OHLkCM2aNaNt27a5+qwS8xAYGEhCQkIqO6Rdu3ZKLKY59mLU8fLx8fFs2rSJ3bt3c+XKFaWAhehjIh4jOTmZGzducPXqVY4ePUqpUqWYNm0aDRs2zPR62RHoWltbc/fuXYYOHcqff/6Zp0lBJRKJRCKRSJ43ZDSYRINamDty5EiOHz+uyWYvDBMhrLK3t8fR0REnJyeePHlCUlIST548UQJ3hDGrdjCfPXuW3377DVdX11Qix4JGGFcHDx5k0qRJikEiMrQaDAbKli3L5MmTlcB0GeT7bCDu5ZMnT9i2bRuhoaGawF03Nze+++47fH19MxXRit9RtWrViIuL0wRgpiXQNRqNvPLKK7kW6IpATp1OxwcffIBer5ciiWeUzAS6puO2cGoWFmFucnIyvXr1Yvbs2YCsZJbfCHFEYGAggCLcMRqN2NjY8O677+Lm5maW+2IaxBsaGsrSpUsVoYbAyspKOS4uLo4bN25w48YNDh06RJUqVejVqxejR4+WwWgSiUSSRcR4+fDhQ0A71hcvXhw3N7cM35/RnC7sPPWcPnfuXEDO6fmBaQboq1evcufOHXbu3MmDBw8ICQlRqpGo8fDwwMHBAV9fX5o1a0bNmjWpW7euJjNwXsyz4pyVK1fGycmJyMhI5TUrKytFRCz7zbNJWFgY0dHRyvgjbJRKlSoB5k2woh5/vvvuO77++msgbWGul5cXv/zyC6VLl8bZ2ZlZs2alCpzIrUDXwsKCBQsWULJkSSnMfc5IT6Ar5mJhjxmNRho2bEhSUhJWVlZSmPscI8aO06dPa/aiReBY06ZNgfwX5qrnZ/UYpw6oy4pAVzxXr149ihUrRkJCgma8BTh37hzR0dEUK1ZMriclEkmGCBHLo0ePGDduHA8fPlTWbdbW1uh0Otzd3ZkxYwYNGzbE1dUVSN9WFWOrtbU1nTt3VpLyivflFinQlUgkhQmDwaD4k03Hlvj4eCIiIvD09MzWmKMeXw0GA9u2bWPJkiWEhYVp1n1ifSnOLexzdZC4GPMgZf2pHiMPHjyIi4sLc+bMUcTEct1YtLC0tOTevXv07duX2NhYJbmG+t4DTJs2jUGDBmkqfOWEjCrmiiRaaVXMNWffykygqz5G+GaTkpLMnkBZIpFIJJL8JCEhQeNngadrRTc3N2rXrg3kPKmuen4XQuCZM2dy9epV7t27pxwnkn6klYRG7EmK9l25coWAgADu3r3LF198gb29fa4Euupr9OzZkzfeeCNHn1ViPsT9FHFqwh4RlCpVCjDfHryVlRWxsbGsX7+e48ePc+TIEeU1U3+REOuq+3VkZCTh4eG8/vrrTJw4kc6dO1OyZMkMr5kVga7699CuXTspzJVIJBKJRCIxMzIiTKIgjBCdTseIESM4ffq0Jku/WMAbjUaqVatGnTp18PPzw8XFBRcXF+Lj43n06BF79uzhyJEjXLlyRTG0RbCNcJ78/fffeHt7FzpxroWFBUePHuXNN9/UBEPBU+dS8eLF6dGjB56enoCsvvMsIe7l8uXLOX36tCZw18nJiRkzZmQqzBVYWVkRExPDzp07iYuL0wRQqB2MAPfv3+eXX34xWwVdNaZVsSTPFhkJdNUbi8KZKYKTCoswV4p4Cg6j0cjt27e5ceOGEhgOKP2mTJkyQO7mOHXQOcDFixc5cOAAW7du5f79+8pxoo+ogzLEYzEG+/v7M3/+fG7dusVrr71G1apVZZ+RSCSSLJKQkACkOHPU2fjTIzNhrjqAWM7p+Y+lpSVRUVGcPHmSbdu2ceLECSIiIpTXhdNXZIMWjsWoqChCQ0O5d+8eO3fuxNnZmZo1azJgwABq165N+fLllXPkRfC3jY2N0jb1uUNCQrh48SItW7aUQefPINeuXSM5OVkjNDMYDPj4+Jj1OqYVc9MS5gp7yMvLiw0bNlC6dGmMRiNt27bF0tKSmTNnagS66oqnORHo9unTB2dnZ1q1aoWtra0U5hYQBTWuZEWgC7B06VL0ej3Dhg3LNHGG5NlFjF87duxQkqvBU9u4atWqdOrUCchd9ca0yKxirkgGotfrcXR0JCoqSlkLZlegC1CrVi2GDRvGokWLNIHolpaW+Pv788MPPzB16lS5npRIJBliYWFBdHQ0ixcv5urVq5pkqTqdjpIlS7J8+XJq1KiheV96Y4vp2GouUa7pNaRAVyKRFAasrKzw8vLCx8eHK1euACl7hQaDgYiIiGyNOWpb/MCBA+zbt4+NGzcqr4vzqv1Fwu8j9qtq1KiBq6srTk5O2NjYcO7cOSIjI3ny5IliQ6nHyD///JNKlSoxZswYuW4sghgMBrZv305sbKzyN6T4ssX/AQEBALmq6JxRxdz8SmotyEygm5ycTIUKFfDz86Nbt25SmCuRSCSSIk9UVJSSqEWdhEP4LnODmN+vX7/OkSNHWLduHUFBQZokMGKNoX6Pek0q9jaF3yo5OZnY2Fi2b9+OXq9nzpw52NnZZXldYCrQtbGxkX70Qob47oODg4GU+DjRb3x9fXN1fvXaMywsjFu3bjFr1iz8/f0V20ftf1S/T7RDFMsSj62trUlISGDOnDmEh4fz6quvUrp06Uw/Z0YCXRFXKvumRCKRSCQSSd4go8IkgFaYO3ToUM6dO6cEYINWmNu2bVvefPNNqlevTvHixZVzlChRglKlSuHr60unTp04cOAA3377rSagUZ0Va+XKlTRr1ox27dqZ9bNkx0mtPtZoNPL333/z7rvvKlkyhTEkjJ5atWrRs2dPzeeWPDvcvHmT/fv3K8FlIoi4X79+SpWKzPqW+C09ePCA3bt3o9PpFFEioBHnqgW6ooLuyy+/jIuLS44Eug4ODsTHxwNPAzw7duxorq9GkkOys4GRk82OjAS6kLKJA6DT6bCzs2P9+vXUrl07y1n+soIU5hYtLCwsSEhIUCp7q8ekihUrUqtWrVydX923Hj9+zL59+/j666+JjY0lMTFRk/girU1H8di0wtkff/xBREQEb7zxBg0bNpQBaRKJRJIBovLEo0ePAG2mVVdX13TtGTmnF26io6O5dOkS8+bN4+HDh4SHhyv31rQCnXqOhRTbV8yrMTEx/Pfff1y6dAl7e3vee+89mjVrRrly5RSHtDmrmnp6elK9enUiIiKUPiTWrKb9VPLsIJKyqKt3Ozg44OXlZbZrqPvqsmXLWLRoEZC6Yq4Q5v788894enoq452trS1t2rRRgiMzEugaDAZmzJiRYSIsteP7xRdfVNoohbn5R3JyMsHBwZQpU0aTiCi/5ykh0BVVlNX9SQRW6PV6li1bhqWlJUOGDJEC3eeYhw8fEhwcrKy1hCjW19dXeWzOcSQrFXPFdVu0aMHcuXOZPHkyhw4dUo4Ta4usCHTFsU2bNsXT05OQkBAAZX0J8O+//zJ48GClurpEIpGYIuyIffv28d9//yl7icLG8fDwYM2aNfj4+BQ6MasU6EokksJCUlISJUqUALRjk8FgYOXKldSqVSvTRAXqdWBSUhJz587l0KFDiqBSnZjIaDRqBBJivO7cuTOtW7emadOmODo6KucOCgriwYMHzJgxA39/f41NJ2yo3377jdatW1OnTp28+IokeYiVlRU9evQgISGBjRs3EhERobHVhVhm9erVxMfHM2PGDKX/ZGefMiNhrmkSt7wW5qo/W3oCXSHM7d+/v/L7lEgkEomkqGM0GpUiI2Lt6ODgkKNCI6Zz9F9//cXy5cu5e/cucXFxyvpTrGvVQl29Xq+sJ8T6VLwm1qhqW3vfvn0sXLiQCRMmYGNjk+U21q1bl6+//pp3332XoKAg+vTpw+zZs9NsvyT/UcdKQOrkMOJeZ3ffxTQG+MSJE2zZsoWDBw8SFham7MGLxEXiGurriL4hROOinwrfYlJSEj/88AP29vYMHz4800QupgJdCwsL1q9fz9WrVzEYDPTu3Zs5c+Yo15R9UyKRSCQSicR8yMgwiUaYO2zYMI0wV50N32g00r17d6ZOnYqLi0ua5xIL9rp161KjRg28vLyYOnWqpkKEWqC7ePFiqlatStmyZXP1GcLCwjh37hwvvPCCYixl5qhWGxe3b99m7969LFy4MJUwVxjqLi4ujB07lipVquSqrZLCy9WrV7l79y6QEuhhaWlJ27ZtcXJyyvT96oCymTNnEhAQgJWVlbL5U7VqVYxGIzdv3lTObSrQTU5O5pVXXsHV1TVbAt3XXnuNuLg4AJYsWaIIc2XARv5iumkRHx9PcnIyly5dIiIiAr1eT3R0NADly5enePHilCxZknLlymk2W0RATlbuXWYCXfXGUosWLahduzZgvsrfUsRTNBH9Q73hLIIkcos4x8aNG/n333/5559/AJTgXnWWSnWlHHWfVWfPVG+W//vvv1hYWPDBBx9QpUoVOcZJJBJJOghHj0jcIuw5eOpcSsvxmVnFXDmnFyznzp1jz549/Prrr8TGxiq2hJhD1Yml1POoep40zbhrYWFBfHw8MTExTJ06lTZt2tCuXTsGDRpkVmGuwMnJSeMUF+sCf39/QPalZxn1Wk+n0ykVUnKLev2anjBXXTFXCHNNxbIZCXTFsQaDga1bt1KvXj0GDRqU6edVkxe/J0na6HQ6Ro8eTVhYGK+++irt2rXT2Nv5jbOzMwMGDABIJdBVP/7222+xsLBg8ODBUqD7nOLv78+DBw9SPd+4cWOAAhPmNm/enJUrVwLw+eefM3nyZI4ePaock9UKumLub9iwIQ0bNmTnzp1YWlpq9o/q1asnhbkSiSRdhK1gMBjYvHkzDx480CQfcnV1ZdGiRfj4+Jg90ZC5yKpAV4yvUqArkUjMjdFoxNbWlh49enD69Gng6fgqfDY3b97kwIEDdOvWDTs7O82YY+q7DAoK4ujRo2zcuJELFy6kEkBAap9QxYoV8fX1Zfz48ZQuXVozVouxu0yZMpQpU4Z169bxwQcfcOjQoVQJ6R4+fMi1a9eoU6eOHBeLIOXKlWPAgAEkJyfz22+/KQJdMQ8KO1lUYc6uQDczYa54nJ/CXIGpQHfatGnExMTwyiuvSGGuRCKRSJ4pHBwcFJ+z8A0ZDAZu377NxYsXadiwYZbPpV4DnDhxgr1797JmzRrldbHeVIskxZpUzP2urq64u7vj6OjIkydPePToEU+ePAFS/EzCH56UlMSBAwdo3LgxHTt2zNZ609fXl6+++ordu3czefJkQPo+CwuiHyUmJgLaPZrk5GRlbz47e0qmhSv++usvFi5cSFJSkvKa2i8vrgspMXviPAJ1lWm1j1Kn07FkyRKqVatG27ZtM+1XaoHuyy+/DMCiRYto3ry5FOZKJBKJRCKR5CFSnPucYyrMPXv2bLrCXHVGp/RQL9htbW15+eWXSUhIYObMmRpxjTAqHjx4QEhICGXLls2x8yQ+Pp59+/Yxc+ZMGjRowOjRo/H19aVEiRKKEaGuliI+s2jrr7/+yr59+zh48KCmcgWkOJAsLCyYM2cOzZo1y3b7JIUf4Xj8888/gRQDF6B9+/a0aNEiS+cRfWrhwoWcOHFCMcD1ej3ly5dn2bJl/Pfff6xYsYLbt2+nEug+ePCAX375BZ1Oh5+fH25ublkW6K5YsQI/Pz8WLFhAp06dACnMzW/EmAlPHdhXr15l48aNhISEEBgYqKkKCiibe15eXlSuXJkGDRrQoUMHqlWrBpCtYJuMBLrqcxw4cICPPvqIadOmmaUCuBTxFF3i4+OV+U3dxyIjIwkPD8fJySlbwb+inyUlJREWFsbcuXPZt2+fsrGpFkio1xfi+bQ2G8X7DAaDpnLEgQMHcHd3Z+bMmTIoTSKRSDJBPb4KRLCTmszmdHWAlJzT85/t27fz008/cfPmTZKSkjTzqjq5hWmWZ7VTUb0uUzsB1fPxoUOHOHjwINeuXWPChAk4OTmZZa4VNnjlypWBFDtbtP3q1auA+ZLHSAoetfgbtM7m5ORkHj16RI0aNXJ9HXHeFStWZFmYm171SSHQnTx5MrNnz+b+/fvK+dX7WTJQsvCi0+kYMWKEEmQ+c+ZMtmzZQvXq1RkzZgzOzs6aZIP5ZUekJ9A1TWD4zTffAEiB7nNKWFiYJnBMzNNZSRaYHTIS5op1nVqYu2rVKuDp78vT05O5c+fy4YcfagS6akHv5cuXmTVrFpMnT6Zu3bqa8VasB0aMGMHZs2cJDg5W5gW130Ha+BKJJC2ErfD9999z/PhxJTGAXq+nWLFivPfee0pCg8IozBVkRaCrrjIpBboSicSciLGjYsWKioBBnew3ODiYtWvXYmdnR5s2bShRooSyfhTjcEhICFevXmXhwoU8evSIyMhIZc8JUqo9qUW6AL1796Zfv37Uq1cPe3t7TTA6aMdug8GAs7Mz8+bNY9iwYVy/fl1pp7Cf1q9fT5cuXaSNXkQpU6YMfn5+ABqBLqCxk7Mr0M1ImCuEEQUlzBWoBbqzZs3ixo0btG7dWvZliUQikTxT+Pj4ULlyZW7cuKGsE4XNe+PGDRo2bJhlEaQ4Zv78+Rw+fFjxKYr53dSOtrCwQK/X4+bmRqNGjejYsSMNGzbE29sbCwsLYmJiePLkCT/99BMnTpzgxo0bSluEH/Xu3bvs3buXjh07Ztv+btSoEY0aNQKkH70wIe5jjRo1OHbsmGYPBlJ81aIfZOW+i765efNm9u/fz99//608b1qgQvRRvV6PnZ0dlpaWdO3alVKlSuHr64vRaOT06dMEBgayb98+9Hq90kZ1Bd1p06axbt06ypUrl2n7TAW65cuXp2nTpoDsmxKJRCKRSCR5hRTnPsdkJswVRqvRaKRfv358+eWXQPYW5xYWFvTo0YNbt27xyy+/aKrkWFlZERUVxbp162jQoEGOnMlGo5GzZ8+ydu1aEhISOHbsGEFBQVSrVo0xY8bg5eWFm5tbqsDL4OBgDhw4wOHDh9m7d69iBKlFmcKxD08rkbZt21a5pnR8P1uIex0YGAigBPICSuBmVjeF/vnnH/bt2wekVNK1srKiWbNmlC5dmv79+xMXF8fatWsJDAxUnJTiekFBQWzatImkpCSGDh2Kh4dHlgS6DRo04Pjx4zg7O6dZJUuSd4j7IzLoLV26lAMHDigVwCBFiGta0dZoNBIcHExQUBCHDh3i+++/p2vXrjRr1ox+/fqlykidEZlV0BWOzK1bt2JpacnUqVMpVqxYjj+3FPEUbcqVK0epUqUICwvTBEFEREQQEhKSaXIANepM6Tt37mTnzp1cuXJFuc/qzOgicE78bTAY8PLyon79+lSvXl0JCD516hRXrlwhIiJC6cdqge7vv/9OtWrVGD58uBzrJBKJJA30ej1JSUlERUUBKdVUk5OTcXNzw9bWVnOsnNMLL7/88gvz588nOjoaQONcFnOqeE4d9GhjY4OlpSU6nQ5IEWqLeVWsRYVTT9xLo9HIxo0bCQ4OZsiQITRt2hR7e/tc2cHCjhJiTPXaQwg40xNMSoomoq/Y2NgAKHtLwiYR/dkcxMTEcPLkSezs7EhMTEwVbJkVYa7A1taWDh06EBAQwPz585XfiBhDLS0tKV26NCD3hgober1es7cpnrt69SpXrlzh2LFjVKlShUGDBlG/fn3c3Nzy9f5ltYKuFOg+v9y/f19TSUKsv8SYYw6yWzFXCHP1er0ynnt4eKQS6KrXFpaWlly6dInPP/+cL7/8kpo1ayrXF+sBb29vfHx8ePjwIUajkV69einCXLm+lEgkGXHz5k0OHTqkjDdijdayZUuaN29e0M3LMlmtoCsFuhKJJK9o0qQJw4YNY/Xq1Zo9IYArV67w9ddfc+jQIYYOHYqrqyvOzs48ePCAPXv28N9//3HmzBnN3pQ6GRykJGWztramcePGdO3alYEDByrXUCc7Tgsx/jk7O/Ppp5/y1ltvERUVpQgtrKysiIiIID4+XgoaizBpCXSFbZETgW56wlwbG5t8q5ib1f1N0c7KlSvj4+MjbSCJRCKRPFOImMXSpUtz/fp1TZIMUf2zdevWeHt7p5rX1fF3FhYWPH78mPPnz7Nq1SpOnTqlHKdOVgwp8XDiulWrVuXDDz/E09OTEiVKaJIZ29vb4+joyPvvv8+JEydYsWIFJ0+eVNbF4tx//PEH7du3p3Pnzjn+LuQcX3gQ90L4qtXFLCwsLDh58iS7d++mS5cuGe63iL6UmJhIZGQkc+bM4fDhw0olZnXsubiu+Fuv1+Pt7c2bb75JjRo18PX11Zy7U6dOJCUlsX37dr788ktiYmJSCXQjIiL4+++/ef3117O0jlULdKUwVyKRSCQSiSTvkZGPzykZCXNF1lERPNm/f39mzpypeV92cHV1pV27duzevZvIyEjF2BUC4MDAQBITE7Gzs8vyOYWREBgYyNdff82NGzeU9gcEBBAQEMCRI0eoUKECvr6+ODk5YWlpSVxcHDdv3uT69etER0crhrkwtNTGkcFgwMHBgQULFvDiiy8CMvjyWSY8PJzIyEjFQaOuJgUpQtu0EP3i4cOHbNu2TRFlCgdPsWLFGDBggOKMGTp0KDExMfz000/ExMRoqlPAU/H477//TlxcHKNGjaJ06dIZGsbieXU1DdlP8wdxX6Kjo9m/fz+///67krkfUjYAxZinHnPUInCRRToxMZFt27axdetWjh49SpcuXWjdujUODg5ZGn8zEuiqHZlbtmwByLFANyMRj2llNiniKZw4OTnh6OhISEhIqv66cuVKPvnkkwwr9KjvpQgS+/LLL7l37x7R0dGaADkxlqqrmAF07NiRVq1a0bVrV1xcXDTjVnR0NA8fPmTSpElcvnxZI1QX59m5cyft27fPUkZAiUQiyQ7PwppfBMcJTCvlCuScXrj56aeflO9cLbAWjjxhvzo7O1OxYkWaNGlC9erVKV68OC4uLlhaWhIWFkZAQADBwcHs3r2b2NhYRbStTsolEH8fPHiQx48fM2DAAHr27Enx4sVz/dtwdXVVHovzGI1G/P39uX37NtWqVcvxuSWFE2dnZ0B7vwFOnjxJjx49crTHZIqjoyNTp05l0aJF7Nu3j9jYWGxsbLItzBXts7CwUNamor3C8e3h4UH16tU1n0lS8KS3t6kWVQcHBxMcHMzhw4dp0aIFDRo0YNiwYdjb2ytVm0SQQ17d24wEurKCriQxMRFIGSfFPrV4PreIBAmQfWGu6dgpBLoTJ05Uqgyog+asra25evUq27dvp0aNGql+U25ubowaNYqjR4/SrVs3ub6USCRZ5vLly1y4cEH5W+y19+zZkwoVKhRUs3JETgW64ni5FpVIJKY2THaTrb7wwgscPXoUf3//VImkRazFtm3bcHBwUJJhqRNtqWNJICW5jPCFFitWjAkTJtC0aVOqVq2qaXN2qlCVLVsWT09PRZwrCA4O5ty5c7kSS0gKnvQq6Ip+lFWBbkbCXJG4UDzOa2Gu0Wjk0KFDNGrUiOLFi2f6PmkDSSQSieRZxNramoEDB3L8+HESExOVPUhra2vCwsIYP348X3/9NWXKlNG8T8zniYmJnD9/nu+++45bt27x+PFjxWcNpCo8JPYHunTpQo8ePWjVqhXFihVLVdxE7IEajUaKFStG69atsbCw4MmTJ1y/fl2xxcWcfuPGDTp37vxMxA5InlKvXj3KlClDSEiI0o+MRiNRUVHs2bMHHx8fxV8t1orqNaOFhQW3b99m+/bt/P333/j7+yuvqQthqUW1APXr16dZs2aMGDFC4y9Xx3BYWFhga2tLv379cHZ25uOPPyY6OlqxvURf//vvvxk+fHiW/aum6025/pRIJBKJRCLJO6Q49zkkM2Gu2lDIrTBX0K5dO1q2bMmOHTs0wY3JyclcvHiRmzdvUrt27SyfT1QAGj9+PFeuXNFUdhIit7i4OK5evcrVq1fTPIcILBLGEKAEO1tZWVG6dGk+++wz2rRpo7RXGtrPLjqdjtjYWE21KXgq2oWUij+mqPvFhg0b2LVrF5AizAX45JNPqFOnjiag4q233lKq5Ko3f8S5QkND+fPPP4mKimLcuHF4e3tn6iBSCz0leY+4H6GhoSxbtowDBw5w//59Jfg3OTlZ6U+mghj1OCge6/V6jVN6+/btnDlzhsaNGzNlypQMhZJq8lqgm1l1PSniKfwkJyfj6OhIhw4duHv3rhKAKzYFz5w5w+HDh+nQoQN2dnaasUncR3Ev//33X44cOcKGDRs0mQXFsQKRKd3S0pJWrVrx4osvMmjQIOV1scYQ53d0dKRatWqsWLGCCRMmcOTIEc2GI6CsH6Q4VyKRmIuYmBhsbGxSjX1FESsrK6ysrLCzs0uVdCYmJkYTlCSFuYWTNWvWKN+5OuBRzKm2trY4OjoyePBgWrduTb169TI95+jRowkMDOTXX3/l2LFjBAcHK+tDdVV7sSdw9epVVq9ezZMnT/Dz89Nkl84JtWrVwsvLi8ePHyufR2TKTkhIyNE5JYWbatWqKfaRSFoEcPv2bYBcC3PhqU1VtmxZxo8fT3JyMocPHyYqKooyZcqwYcOGLAtzIUUkcfz4cSWTO6RklnZycsLGxkaOg4UIg8HAoEGDuHjxYqq9QUixucVeoV6v57///uPYsWPs27eP6tWr89prr1GuXDmKFy+e53O/rKArSQ91AI/aPvf396dx48a5Pr/o23PmzGHHjh2asTk7wlyBh4cH8+bNY9KkSRw8eFCzDyAeiznAFKPRSPny5fn000+VQHw5rkokksyIjIzkl19+AbRVSHr06EGXLl2AwuPDM21HemNcdgW6Fy5cYMWKFSQkJCj7/xKJ5PlEjCtBQUEcOXKEl156CUdHxyyNg+L1Vq1a0alTJwIDA0lKSgK0iWLE2BMdHU10dLRivws/jqk/SLzfy8uL2rVr88477yjJrcRrOVnvlS5dmpYtWypiCbVfVSSfkxRt0hPoAlmqoFvYhLmvvPIKly5dYtasWXTt2hUHBwezXEMikUgkkqKCmJd9fHwoX748/v7+mj1PS0tLLl68yJAhQ5g8eTI+Pj5UrlyZmJgY9Hq9Eiu3c+dO5ZxqG9m0+IC1tTXVq1enZ8+ejBgxQnlPRnO9+hxNmzalefPmXL9+XVljCF/5tm3bGDJkCC4uLnnzZUnynYoVK1KjRg2CgoJSiWp37NiBra0tPXv2pGXLlsrr4v/z589z+fJlFi9eTGxsLDqdTiPaFf4p0TdFJWY/Pz+GDBmCl5cXtra2mhh8U/tNrG07dOjA5MmTmTRpknIucfzFixc5evSoEtMukUgkEolEIik8SHHuc0ZGwlwR6Csem0uYK95bp04dJSu/cJwIIVpcXFy2zxsSEkJkZCSgdWILAZq6Yp86KE88J44Rz4ksXSVKlKBx48a8+eab1K9fX/M+ybOLjY0Ntra2mqqOAOfOnePq1avUrFkz1XvU/eKXX35h+fLlQMoGEECfPn1o27YtoHVmWllZMX36dPz9/Tl37lyqSkIWFhZKVq6HDx8yZcqUVE5M2ScLDrGJ9/DhQ6ZOncrp06eJj4/XjCXisbjnIthRLaxQj0NiIxFSNn6CgoL4888/OX/+PJ999hn169fH3t4+0/ZlJNBVB/xmV6CbmTBXvSEqRTyFF3Ev6tWrpxFgiY3se/fu8eOPP5KUlETbtm01WfssLS1JTEzk2rVrbNu2jS1btpCQkJBK2GMq6DUYDEpmv8aNGyuCWtE3xBpDvaFoMBhwcXFh3rx5+Pn5cffuXaWdog9v2rSJ1q1bY2VlJfuYRCLJFXfv3mXq1Kl06NCBgQMHYm9vX2jWW+p2ZNUuE3O+Xq9PZQ+J/21tbaUwt5CyadMmZs2aBWgDz4Xz2snJiVdeeYUOHTrQsGFD5X1p9Q+1nezm5oabmxv169fn1KlTHD9+nCVLlii2izrwTYgR79y5wy+//EJcXBwjR47MlUDXxsYGBwcHTQCnlZUVSUlJXL9+nbp16xaa353EPIjgYLWdbWFhwcmTJzl48CAvvPBCrq8h7KkyZcowYcIEYmJiuHfvHitWrMDT01NZp2bnfGFhYZpzi7a/+OKL2UpsJMkfYmNjlcfqQG1x/9QZytXJtK5du8a1a9f4+++/eeGFF2jVqhV9+vRR7JO8mvOEQNdoNLJw4ULFzhaJiKRA9/lEVFQS+0Ji/0jsfZsDsYaoXLkyt27d0ohvsyPMFbi7u9OnTx+OHTumWXOKz1CiRIk032dhYYG3t7cU5kokkmwRGxvLo0ePgBR7xWAwKNVMoHAkLRU2WWJiIleuXKFGjRo4ODika+dkVaAr1genT5+mVatWBfDJJBJJYUGsnQICAujXrx+2trYkJSXRu3fvLAt0xTnGjRvHo0eP+P3335XXhL2kTqqmFkKY+j/VSa+bNWvG8OHDqVevHu7u7qkqTGUXMaba2dlpnhdtFPOCXE8WfXJaQTcpKQlbW1tAK8xVx2rkpzB32LBhXLp0CYBZs2ZhNBp56aWXpEBXIpFIJM8lPj4+DBo0iM8++0yzBy7Ei0FBQUyYMAEnJyd8fHyIiIhAr9dz584djXhWvAfQxBzr9XpsbGwYO3YsLVq0oG7dukCKXzQrc73RaMTBwYHXX3+dP/74g6ioKE1hn/j4eBITE/PuS5LkK2IN+NZbb3H9+nUePHig3G91HOXZs2dp1KgRTZs2pWTJkty5c4fLly9z5MgRHj9+rByvjvdMSzTetWtXOnbsSNeuXZU2iHjR9FDvE/Xs2ZP9+/ezZ88epf0WFhbo9XoCAwPz9suSSCQSiUQikeQIKc59jshMmCscGeYU5kJKJZSqVatqNsLVGfpv3bpFkyZNshWIW7ZsWTZu3Mh7773HqVOngBQDRjiGRDCQulKU+rFaNGcwGPD29qZv375069YNHx8f5fjC4NSX5C2enp7UqVOHkydPap4PDw/n5s2baYpzRb/4559/mDdvHoDym4Kn2bY6d+6Mh4eH5n1qga6fnx/Xr18nKSlJU5lHnD8hIYGTJ08ycOBA3n//fRo1akStWrVknyxAxGbNvXv3GDdunFKdW50hWu2UFmOewWCgWLFiREdHA9qgYXXFWXXQMDztLwEBAUycOJExY8bQvn17vLy8Mm2nuQW6GQlzpYinaNKxY0f69u3Lli1blLlQcOXKFb7++mt27NjBkCFDlEDhkJAQNm3aRGBgIA8ePAC0iQfE32LuNBgMVKhQgVatWjF48GAqV66sXCOzTOninK6urnzwwQd8+OGHJCQkKL8RgHv37uU447pEIpEIAgMDGTx4MGFhYcTExGBvb0+fPn0KhUBXrBnDw8Nxc3PTrCMzQqxHReCPWpz76NEjZZ3y2muvpUq2Ief0guXgwYN8//33GtsWntoZOp0Od3d3vvzySxo0aICTkxOQOtmFGnXlT0jpU40bN6Zx48Y0bNiQH3/8kQsXLiiVUMT6TuwRiIQxjo6ODBo0iGLFimX7tyHWklWqVOH27dupKgNev35d017Js0H9+vWpXr06/v7+gHY/5tatW2YR54JWoDtjxgzs7OxwcXHJcsVcNUePHuXIkSNKe9V7S2XLljVLeyXmQYxnb7zxBp9//jnx8fHA0/5ga2tL7dq1uXr1KjqdDr1er5nfxHFWVlbExcWxa9cu5V/NmjV5/fXXcXR0VIJ8zY2zszMDBw4ESCXQlRV0n0/UwdrqufD06dMkJSVhZWWV62rj1tbWjBw5kuLFi/PLL79w+/Ztxb7OrjBX3VbxmxJYWVnh5uaGr69vls4h15cSiSQjxHrs77//VqqaiLHLw8ODnj17FnQTNVhZWREVFcXixYv577//qFOnDl988QU2Njbpviczga6wywC6d+/O//73v/z6OBKJpJAh9mrEXmZsbCyxsbGsW7eO5ORk+vbtmyWBroiLsLKyYubMmVhbW7Nr1y6ioqKUQHN1cmFIGY/FP+FrBGjevDnNmzdnzJgxqa6TGzJ7v7DX5F7Ss0GZMmUYNGgQFhYW/Pbbb4SHhyt9QG0zqwW6GQlzLSwsNMLctWvX4uvrm6fCXLHPbmFhwZMnT5gzZw4AXbp0UfysEolEIpE8D4i1o5+fHzdu3ODnn39W9ujFOlIktnr8+DGPHz8GUtZ/aSWMUfu63d3dqVq1KhMmTNDsQWbXdymEjq6urlSrVo2TJ09qihCEhITg7+9P6dKlzfXVSAoQ0b+8vb1p1aoVW7duJTExUYltE375gIAA7t69y++//66JdReo/ffib+F7Sk5OpmTJknzyySc0atSIkiVLAin+rKz0T7XQV8TYib4t/OvXrl0DZPyGRCKRSCQSSWFDinOfEwpKmAtoBDqA5loCR0dHIHvOE6PRiIeHB6tXr2bOnDkcOnSIO3fuKAIj4RhSBwmJa4vXRZvs7OyoXbs2n376KWXKlNEI1KRD59lH9FEvLy+NIEE4J+fPn0/Dhg3TDMS9fPkyq1atIjY2VpOhDaB37960b99ecw2B+F01bNgQBwcHpeqqaZuEYR0fH8+CBQuwt7enc+fOfPTRR7JiTwGgFuaOGDGCBw8eKPcd0Iwrer2eypUr07RpU5o0aULp0qWVbH8xMTE8fPiQU6dOERAQwKFDhzRZ8NWbOKJyzuPHj1m8eDF3795lwIABVKlSJdP2ZiTQVVfkyUygK4W5hRP1uKLT6bCxscn2ZnPbtm05ffo0gYGBypwp3v/w4UMePnzI4cOHATSb0GrxuOgHIsOlWpDeqlUr3nnnHSpVqoSTk1O2M6WLsbJChQrY2NgQFxen2Yi8e/cut27dSjOBgkQikWSFgIAARZhrbW3N1atXWb9+PUCBC3SFLXbv3j0GDBhA48aNWbx4cZYEukJQUbp0afz9/TVr1ISEBO7cucOsWbPknF7IuHv3Lps2bSI4OBhIEVkLW75kyZL8+OOPVK9eXfO+7Nwb037TokULPD092bZtG5s3byY4OFhZj5oKdDdv3oyzszO9evVKVbUkM0SfFE5E08qAwvFe0IJ4iXlxdnbG09OT69eva4IqDAYDy5Yto2XLlqn6c04RQcMiSELYVllF9PcbN24oto96H6tChQp06dLFLG2VmAcxntWpU4fixYsTGxur2COJiYnUrVuX9957j71797J//37u3bun9BO1XawOaDhy5AhHjhxh586dtG3blg4dOtC6dWvlmubYJxWkJ9AVSb6kQPf5onr16tjb2yv3X8yTt2/fJj4+Hmdn51xfw2g0Ymtrq1Ru3rRpEzdv3qRZs2bZFuaKteOhQ4dSJfvS6/U4OjoqSUQkEokkNwjbQNgLaooVK5ZtuyQvCQoK4sqVK3z11VcEBAQAYG9vT0hICGXLls3Qrs5IoCt8nNJGl0ieb4TfOiAgAD8/P8LDw7G1tUWn03Hnzh02bNgAkGWBrnp/8bPPPqNSpUocOHCAY8eOKT4esT8kbCDxvNFoxNnZGTc3N15//XXatGmDp6cnYN7xSbQ/JiZG+Vttqwv7SO4jPTt4eXlpKuhmRaC7c+dOjTDXNNFhfgtzhb/U1taWqKgoJk+eTPny5WncuLFZriuRSCQSSVFAvT4bPHgw4eHh7N69WxOnpk6iCSkFLkTcnWklUnFMw4YNefnll2ndujWlSpXKdgySKVZWVlhbW+Pt7a0UdFEnUFbH70meDVxdXRk2bBiXLl3iypUryvOmMXOiL4q4UOEzV/ddsfZLTk6mUqVKtGzZkqFDh1KhQgXlvJlVy00L9R7Rjz/+qPizRH98+PAhIBNfSiQSiUQikRQ2pDj3OSAjYa4IwM4rYS6kGL5XrlxRslQK54kwnl1cXHJ0XtHGSZMm0aFDBw4ePMi6desASExMTPe9ycnJ2NjYYDAY6Nu3L82aNaN79+4ZZq+WPPsMHjyYgwcPEhERoTzn4uJCo0aNcHd3T3V8REQEO3bs4OLFi6lE7r169eKtt94C0ndEJicnU65cOZo0acLu3bsVY15t7Asno52dHfHx8cTHx1O2bFlNRQ1J/qDOSD1kyBBCQkI0Tj4RzAtQu3ZtWrRowVtvvZUqE65wFterV4+uXbuSnJzMf//9x/79+/nrr78IDQ1V7r06G6DIur9582ZiYmIYNmxYlgSJuRXoSmFu4UQdWPHHH38QGhrKwIEDsxR0oaZr165cvHiR1atXK31ZLTZXj0tiw1A8p94UF8eK30CTJk1o1aqV2TKlV61alQYNGnDw4EFlU15cKzIyMkfnlEgkEiF6jYyMxNbWVhlX/P39C1ygqxbmDho0iPDwcP7++28mT57Ml19+malAV7TXNOmGpaUlERERDB06lIiIiFQVc9VrWTmn5x/iOz558iSHDx9Gr9cr861YY4rEVJUqVTL7PfHx8VHWlvPmzSMgICBNge7t27f5+eefKVeuHM2bN8/RtTw8PJTH6gos58+fJyoqihIlSsigymcE0Xe6d+/O8ePH0el0in1rZWVFQkIC+/btw8fHx2zVSdV9J7u/ETE+rlu3TvkNijWuwWDA1dW1UIk/JClUqVKFUaNG8eWXXyr3Ljk5mVWrVlG7dm0mT57MyJEjmTdvHhcvXuTu3bsaMaGwLdTjblBQED///DM///wzvXv3platWgwbNkwTKGSOsUpW0JUIXF1dlb6oDjwLCgpix44dDBo0KNf9Tsy7dnZ2+Pn5ERcXR2BgILNmzQKyVzFXVHIMCgoCUoLnRJ9t0aIFdnZ2ZhW0SySS5xODwUBiYiKnT58GtEG7lSpVws3NrVAk+Dl9+jTLly/n7NmzREVFKePh5cuX+fXXX3n//fczXZ+aCnRnzZrF5MmTiYiIoHfv3kr1PWmjSyTPJxYWFkRGRjJ27FjCw8M11UGBXAt0hw8fTocOHdi/fz/bt28nMDBQ8ZerK0XVr18fDw8PBg8eTNmyZSlfvrzymvBrmpNHjx5x6NAh5fzq5EplypQx67UkhQMvLy/FTjYV6Kormm3cuJG7d+9y4sQJQCvMVVfMXbNmTb4Lc9X+0s6dO0thrkQikUiea8T+vbW1NTt27FDmUSFwVBf3URcyEf/UcXjNmjVj/Pjxyh6mOdafYr2clJQEpCQXFs+by38lKTwYjUaqVKnCZ599xocffsidO3cAUhXlMX2sFo2rY0RtbGxo06YNY8eOxdvbG0dHx1yLxsV77O3tgZR+KRD9VSKRSCQSiURSuJDi3GeczIS5YpM6r4S5akTGHrXozNLSEnd3d022oOwgAsgtLS1p1qwZzZo1o0uXLjx8+JAtW7bw5MkT7t+/rxgkVlZWlC1bluLFi9OzZ0/Kli1Ls2bNlPPJgKHnE2HQenp6Uq1aNY4fPw5AjRo16NKlC8OHD8fe3l7pa6KfXLx4kc2bN5OQkKD5LTVt2pQPP/wQyLhPCSNcVI5WG9JqA9/GxkYRm0+dOpXBgwfnwbcgyQhx7wMCAhg0aJBSXU84vtWbLj169KB///40a9ZM01/SO6elpSUtW7akUaNGDBw4kFmzZnHhwgWePHmiiF+FMMLKyorY2Fh27dpFTEwMY8aMoXbt2pm2PyOBrjrg11Sgq67GKoW5hQd1QMXq1auZNWsW3t7eODg40Lt37ywLdMV9mjhxIhEREfzxxx+pKs0LR7Y4l9hsNK3uLfqRra0tb7/9Nh06dFCqO+d2bhXtFH3PNENmbGxsjs8tkUieb7Zu3UpUVBRWVlYkJSUp83JycrJGoNu7d28cHBzyLeDXVJj7+PFjbGxs0Ov1bN68GSsrKz7//HNlHk6rTeL5GjVqsGfPHmU9IUQfERERSjZX9ZwuhbkFg6WlJQ8ePGDRokXEx8dr7Fy9Xo+LiwuLFi2iUqVKeWazuri40L59e1xdXfn000+5detWmgLdK1eusGrVKurXr4+9vX2221O3bl1NZUDx+RMSElJV3pMUbcS9rF27NnZ2diQkJGiSACQmJrJt2zZ69uyJt7d3ge7HiD5+6NAhJchZrIOTk5Oxt7fn9ddfp3jx4oVC/CFJQdyPBg0aUKFCBQIDA7GwsFBshS+++AJPT0+aNGnCV199xZkzZzh06BCrV69Gp9Oh0+k091sdYCHsnK1bt7J161Z27txJ69at6dq1K1WrVlXakNu5UlbQlRiNRqpWrUrTpk05cuSIkghL9MuLFy8CWtFWThHnsLW1ZdSoUUqiyuwIcwX//vsvJ06c0FQTEHN7nTp1AOQ+u0QiyTWigo0QiIm1pJqCXpsZDAZOnjypVBMXawsxh+/cuZN+/fpRsWLFTM+lHutffPFFpk2bxvHjx5k+fTogbXSJ5HnHycmJFi1aEB0dTXBwMICSWApyLtAVx3h7ezN06FB69OhBQkICd+7cITw8HHt7e1xcXLCxsaFmzZpYWVlp1nlqf5G5EONdaGgoMTExyr6UEGh4enpmyT8qyT/UfS2381WZMmXSrKCrTvpmMBg4deoUkCLGVT8uqIq56qTHcp9dIpFIJJKn+Pr68v7771O2bFl++OEHxWctkmeb7i8Ke9rBwQF7e3vefPNNmjdvTo0aNYCUedUc60+xtoiPjwdSBJpin9NUFCkp+oi9F19fX+bNm8fs2bO5du0a0dHRin0E2vWtaVJt0T/69OlD06ZN6devn+Ya5lj3GY1GHj9+jE6nSxWfZ2lpiU6nw9LSUu7BSyQSiUQikRQipDj3GUYEWev1+jSFuSLQx2g08sorr/D5558DeSNQPXnyJBs3btQ8JwzZatWqUa5cuRyfW13pwsLCgrp161K3bl06duyIhYWFIgoWm+Bly5ZVKueq2yIMGMnzS6lSpRg6dCjHjx+nVatWDBo0iDZt2mBra6txmFhZWREeHs5nn31GZGSkRphbrlw5Bg0apARKZtSn0up3RqOR7t2706VLF2bNmkVkZKSyAfTJJ59IYW4BkJYwVwhkTIW5r732GqNGjVIqLYuNmbQw3YixtbWlcuXKLF68mNWrV7Nnzx6uXr2qjMli7La0tCQ+Pp7Dhw9ja2vLG2+8QfXq1TP9HNkV6E6aNAknJyeSk5MZPny4FOYWEtSbf2vWrFEq3Ny/f59169aRnJyc5aALtXj8yy+/pFixYuzatYvQ0FBNAg9TTPu9Xq+nZMmSdO7cmS5dutC0aVNNe3M7t4qNz+joaE0bxGczd/UqiUTy/DB69GgSEhLYvHkz4eHhmsQZBSXQzUiYC0+DizZt2kR0dDSLFi1Kty1iLhbBv+pKGmrknF44SEpKYsWKFUoCGDH/GgwGHBwcGDNmDPXq1QPyVuRiZWVF48aNWbBgAR988AH+/v4aW0cEvh04cIC5c+cybdq0DEXiaVGsWDElkFLt0IyMjOTy5cu0adNGzunPGJUrV2bYsGEsWbJEk+jFysqK27dv88UXX7Bs2TKNKD0/UWdW37VrF3FxcZq+aTAYcHR0VPatZN8sXIj74evrS5MmTQgICFDmNEtLS2JjY9mxYwdVq1bFxcWFhg0b0rBhQ1q1asWJEyf49ddfefToEZBiu4hgGxHgIDh//jwXL15k5cqV+Pn5UadOHV566aVUFXxyQkYCXbW4Rwp0n01EP65SpQqHDh3SVIYwGo1s2bKFF198kc6dO5tlDBLnFXvjouJtdrl9+7biYxBzt6WlJWXKlNHsC0gkEkluSU5OVgIR1ZiKdAsKKysrBg8ezI4dO/D391faJey64OBgHjx4kCVxLmgFui+99BIvvfQSIG10ieR5R4wBH330EQ4ODvz++++KLye3Al1TH4uzszOurq54eXml+x71OfPCThbj3ffff09YWJjyGYVvqkKFCorPUo6NBYPpd6/uB6b3JCd7fV5eXukKdMVeuZhz1XvnBV0xV+6zSyQSiUSSNmXLluX999/H19eXffv2sW/fPqKiotI8tnTp0nh6ejJgwACqV6+uiYkz97wq/PKnT58GUtYXVlZWFC9eHE9PT7NdS1J4EHsvtWvXZubMmezatYvt27dz48YNzTE2NjYkJSVp1p2lSpWiTp069O/fn3bt2il+IXPH3FtYWCjJ6tRJ1wEqVKigiX2XSCQSiUQikRQOpDj3GUZU2endu7dS9Ua9SBdGQ9OmTRVhblJSEra2tmZtR0hICH/++SeQUuVOtK9EiRL07NkTyL2Bot7QF5vfFhYWlC1bVvO8CBRK772Sok1GmzAZOX7Eax06dGDp0qXUqFGDsmXLaio9i+NEYNzDhw+VYHXhDGzSpAktW7bM0kaQuKYI0hDniIuLo3Pnzri5ufHff//xyy+/MGLECIYOHZrDb0WSU9IT5orsu+ox7d133+Wtt97SvD87Y4vYSClWrBgjR46kdu3abNiwgQMHDmgy7ov+GB8fz759+3BwcGDUqFFZCu7JjkDXxsaGDz/8kP/9739SmFuIEH1q1apVzJ49G3gq7NbpdDnOii7GsClTplCjRg3279/PP//8o3Fmi8B0IaYRa4lq1apRpUoV3nnnHTw9PXFwcADMmyldrA1EBXH1pqe1tbUyz8u5XCKRZAeDwYCdnR3jxo3DYDCwdevWAhfoZibMtbKyUtYgtWrVytI5vb29KVasGAkJCYB2PSxESHJOLzjE/YiLi+PChQsAqWyDWrVq0aZNm3x1sFWvXp05c+bwwQcfcPv2bU2iGLF2+Pnnn6lduzb9+/fP8u/BaDTi7u6Ot7c3N2/eVNa/4jMHBgYCck5/FvH19cXZ2ZknT54oglcxBh0+fJglS5YwduxYJYgxP/uAOvHNvn37lOdENRaA/v37KxnZJYUPMWe9/vrrnDhxQqmeC09thr///hs/Pz9cXFzQ6XTY2NjQuHFjGjduzIABA1izZg1nzpzh5MmTyj1X29+QkhzI0tKSuLg4Vq5cSXJyMn/99RfNmjWjW7duuLq6Km3KST/OTgVdCwsL/Pz8lMRgkqKN6MMdO3Zk27ZtyppULRjfvXs39erVo3Tp0ma5prp/5mTMDQwM5KeffgJQ1s3wdB3j7e2doZBDIpFIsoPBYCAiIoLw8HCNf08IdtVzdUG2sUSJEkycOJEPPviAJ0+eKOtJMX9v2rSJJk2aYGNjk6W2pnWMtNElkucbMfZZWVkxbtw4ALMKdCFl7MnKeJMf4+7OnTs5c+aMpj3qClXFixfP8zZIUqPePwe4d+8e9+/fJyAggICAAMXuLlu2LG5ubrRp0wYLCwtNP8yqzZyeQBfS3ucWwtxVq1ZRt27dfBPmSt+5RCKRSCSZI+buTp060b59e8LDw7l48SK3bt0iLi6OhIQEKlWqhJubG/Xr18fFxSVVsZO0Yn5zg/DN+/v7k5SUpPhARSynl5dXrgoOSQo3Yl1avnx5XnvtNQYNGsTatWsJDAzk0KFDxMfHY21tjZWVFR4eHjRu3Jjy5csrtoiTk5PmfOYU5op9r7///htIqdwrcHFxMdu1JBKJRCKRSCTmQ4pzn3FCQ0O5desWkCLWFQgDIzk5mb179/LCCy9ga2tr9kDIU6dOsX//fgDFgBWBxq6urjRs2BAwr4GSXvvzMoOrpGAx3YTR6XSEh4ej0+lwdHTEzs5OEY2pjxeo+0bHjh015zY9zsLCgmPHjmkqmer1etzc3Hj77bdxcnLK0u/I0tKS8PBwJfuaoH79+gBKsOiIESNwdHTM/pciyRXZEeZ+8MEHjBo1KtfXFJsptra2tGnTBm9vb4oXL86OHTsUp586kD0+Pp7du3fj6empqdicEVkV6G7cuJF9+/YRGhqqyfornYsFz9mzZ1mwYAGQ0g9zE3ShrlL28ssv89JLL7F3714OHTrEmTNniI6OJjo6GoPBgKurK3Z2drRu3Zrq1avTqVMn3N3dsbGx0WwEmnuePX78OFeuXFHOLcQ8Nv9n77zDo6q2PvzOTDKpJCQkkAAhtNCkF+lNkSZSpF26XBGwA6Lop3i9cFUUuyhiRaQoVaUKKF1KKAEkAUJLIJUkpLdp3x88++ScSSGBNGC/z8PDZGbOOXvm7NllrfVby9FRBmBIJJLbQox9RqORmTNnAlSoQLc4wlzx+OWXX+bJJ58Ebi3+ad68OY0bN+bEiROaYCVxTjmnVyzinmzYsIF//vlHcy/F/R42bBgNGjQo97Y1a9aM//znP7zxxhtcvXpVI9AV7dy7dy89evTA19e3WOfU6XRUrVqV6tWrEx4erjwv+vfly5cB2QcrkqK+ezFO3c7416NHD/r06cO6deuUa4jxB25WrK1fvz6PPvpoiYI0S4szZ86wY8cOzTpTPG7YsCGPPPIIIPtmZUXcEx8fHwIDA4mMjFSCaBwcHEhMTGThwoUsWrQIZ2dnTaK0atWq8fzzz5OTk8OqVavYs2cPR48eVcZgdfVSyF9Nd/v27fz111/8+OOPjB07lubNm9O+fXul/5Y0EeGtBLrCJrFo0SJ8fX0ZPXp0qXyHkopF9KmgoCD8/f0VO4yw/9hsNvbu3cuAAQOoUaNGqWfgLwni2qdPnyYrK0sjzBUB9+PGjVOel2OmRCK5U/R6Pa6urnh4eORL3BceHk5cXFyFV7ERY3K9evXw8fHRJKQRa4qIiAjNXkoikUhuh/IQ6FYW4uLi2LFjBwkJCQCa5Az169enZcuWFdzC+xORQDolJYVTp06xceNGTpw4wdWrVws9pl69egQEBDB58mRatGiBu7u7Ynspzn7B399f2SfbC3RFm8T/Dg4OrFu3jgYNGpRqUQIpzJVIJBLJ/URxbI/qRFnFXWPax176+vry0EMP8dBDDxV6jHouLe11rIh/A/jpp58UW6c6rrlp06aaeCpJxSP6m4iTE74guL3Yc9GvDAYD7u7uSlGWGzduaO67k5MTrq6umnaUFeK6WVlZhIWFAWiKuXh4eNC7d+8yu75EIpFIJBKJ5PaR4tx7GKvVip+fH3/88Qfjxo0jISFBCfBWbxBE0Flubi4DBgwolUBIsUm4ePEin376qUb8JYSMBoOBOXPmULt27bvKGSSpfIh+lZ2dTXR0NOvWrSMsLIyTJ09is9nw8PDA1dWVQYMG0bp1a7p06aIRJ5S07+3Zs4f9+/cDKIYZnU7H2LFjqVWrVrEMVaLNN27cID09XSOer1mzpua9Uphb/hQmzFUbd8T9evXVV3niiSeA2+tP9qiF4vXr12fOnDk4OTmxfv16TWCucPalpaWxcuVK6tSpw+DBg4tlFCyuQPfGjRuKs1s6FysPLVu2ZNKkSWzcuJHY2FiAOw66UFcpc3NzY8iQITz22GNkZWWRlpbGjRs3MBgM+Pn5odfr841LZTWPi/NeuHCB3NxcTWA8QOfOnWWmSolEctuIOa6iBbpFCXPVlXbgZkIQIcy91fwrXm/fvj0nTpzI55ySc3rl4fz588pcLhJaATz44IMMGjQIKLu5tihat27N9OnT+fjjj0lISNCsF6xWKzt27GDAgAH079+/WOcT/UtUl1SL1wBOnjwp+2A5Y9+v9Ho96enpZGZmEhsbi9lsxsXFherVq+Po6IiHh0eJRYfifU8//TRhYWFKwhVxPavVysWLF1mzZg1Vq1ala9eu5SrQzc7OZseOHRw9elS5pnrP98ADDyhVc2XfrNx4eHgwffp0Dh8+rOwdxJh6/vx59u/fr0nGJvqvg4MDDg4OTJkyhccee4x//vmHxYsXExsbS0JCgtIf7ZMUqEWJkZGRfPTRR1itVsaOHUubNm0YMGDAbQWDFCbQFQmzABo1asTQoUPv8BuTlBYFzV0lrQhltVrx8PBg2rRpzJo1S7P/dXBwIC0tjfnz59O8eXP8/PwqZL4UvwOz2cyyZcsUeyagiNAcHByoV6+e8pxEIpHcKTqdDk9PT6pWrUp8fLzyvF6vJzc3l/T0dKBi9kv2BAQEMGrUKBYsWKDZ1+l0Oq5cuUJ4eDgtWrSo0DZKJJK7n3tZoKte465cuZKtW7cCWjumzWajc+fOFZLITnLThnL27FkWLFhAVFSUsmcGNH509X758uXLXL58mQMHDjBs2DAefvhhevfurewhirNvrlmzZoECXbW/UOzX16xZw6uvvorRaCyVxEZSmCuRSCSSex37OUvMn3FxccTExACQm5tLbm4ubm5u1K9fH4vFohSPEGuBksx94n3qtWlB83ZZzqXiumvXriUkJESZ0yEvgXKfPn0qLEmipGAbu/jfwSFP9lDQPSrpWsz+vZ6envl+F+rzluWeSlx30aJFREREKL4pEeuh9rVLJBKJRCKRSCoXUpx7DyMM2oGBgSxfvpyxY8eSlJSkqfwoFu0hISHKpuFOBbrCQJ2QkMCMGTOIiIhQsv2LwDi9Xs+oUaNo3749ICvZSm4fYZyJj4/nhx9+4ODBg5w9e1azIc3NzcVsNvPll19iNpuZNm0ajz76KI0aNSpRZlaBEMOpAzMBGjZsqDx/K8T1li5dqggjHRwc8PDwkAEaFUxRFXOLEuaWlZOtevXqzJ07F4PBwJo1a5TkBmqnX1JSEh9//DFt2rQhICCgWM7GogS6wqgk/gcp4qksiHs7Y8YM9Hp9qQZdFPSam5sbbm5u+SpQqCueCQFDWaDT6bh48SJLliwBtIEnZrOZOnXqAJUjAE8ikdydVLRA91YVc+2FuVOmTAGKN/+K1/v27csPP/ygVPtTV6yUc3rFExkZyZ9//qmZy8V+vH79+jg7OwMVs2d2cnKiR48enD17ljVr1pCdna3sn0Tf/Oijj2jVqhX+/v63PJ/oX61bt2bLli3KucS6NTU1ldzcXOUzS8oW9W8+OTmZXbt2cfz4cQ4cOEBGRgYpKSnAzXHIxcUFb29v+vbtS/PmzenXr1+xAxLE+3x8fOjevTtXrlwhKysLyBN6WSwWDh06hIuLC87OzrRr167MBbri3Dt37mTJkiUa8aVIntWgQQNee+01JehSjpGVG5vNRsOGDenZsyc7d+5U+pbNZiM+Pp7t27fTp0+fAvuU6A81atSgRo0atGzZkvDwcJYtW8bRo0dJT09XhIdin6yuwCtssBaLhWXLlrFmzRpWrlzJqFGjaN68uSJWhOIJ2wsS6Do5OZGTk0Pz5s1ZsWIFTk5Oig1WUr4UNDaZTCbS0tIAMBqNODs74+DgUOyEBmJ8qVevHvXr11dsm2azWel7cXFxvPnmmyxYsABvb+9y3weLa3311VecPHlSE7AmfhfTp0+XQgmJRFKqWCwWTCaTUp1ErNcAUlJSWL9+Pa+88kqF2wXFmNyyZUucnZ0xmUyKiMxms5GVlaWsryUSieROUftJXnzxRXQ6HWvXri3UV7RixQpsNhuPP/54pRXoiipQAD/++KPiE7Lfg7Vp04bnn39e+buyfY57mRMnTrBjxw5++eUXMjIylH4m+qOIPxJ2ZyBfArT169cTHBxMREQETzzxRInELoUJdMU1hQ1g6dKlZGZmMm/ePOW52xXVSGGuRCKRSO5l1H5wgFOnThEREcGWLVuIjY0lJiaG5OTkfMd5eXlhMBiUhCk9e/akdu3aVKlSRXnP7VTTrQgRrPDRCp+Vem3Tvn17Gb9ZwagFuZcvX+bGjRsEBweTlJREeHi4Yjc3mUwEBQXh7+9PzZo16dq1K3q9XtMnS7omtF/LiWPLa4136NAhjhw5AuRV6RVr7HHjxhEYGFgu7ZBIJBKJRCKRlAwZvXOPUNimVhic69aty8qVK/MJdNVZdU6cOKEcd7sCXWGgzsjIYMqUKYSHh2ucJqK6RLNmzejXrx8eHh53/uEl9y1i4xwVFcVLL73EP//8o2RkBZQ+LAIlBUuWLOH06dMMHDiQESNGKIaVW22gxfWOHTumnF/87+TkRPXq1YHiG5mCg4M5ceKE8l6z2Uzt2rXlBroCud2KuWXtZHNxcWH27Nnk5uby22+/KX3RYrEo4oiYmBhmzZrFDz/8UGznelECXfsKWtK5WDlQZ8Qr66zoRd1b8VpZBz6kp6ezceNGUlNTNcF3ZrOZ6tWrM3bs2HJph0QiubepKIFuSSvmlkSYK7DZbLRo0YLx48fz008/KYHBck6vPKSlpSnrTHVlYycnJwYPHgxU7P3x9fXl8ccfZ//+/Vy+fFlpp9hjpaWlcfXqVfz9/YvdTi8vL2VOVwexBQUFSWFuOaLX68nIyGDRokWcPn2ao0ePKq85Ojoq90bc57S0NL755huMRiMrV65k+vTpNGnSBC8vr2KNg87OzowdO5bDhw8TEhKi2IrUe5tdu3YBNyuxiAq6ZdH/RXv37dvHyy+/rIy56qRy3t7ePPXUU3h6epZKpRVJ2SMq63Xp0oUdO3ZoklJYLBZ+//13evTooVQktz9WYLPZ8PX1xdfXly5durB9+3aOHTvGjz/+qIhs1LZOcYzaxpqbm0twcDChoaE4OTkxdepUmjRpQqdOnZS+dKu+LQS6Op2Ozz77jJycHFq3bs2PP/4ohbkVjOgvFy9e5Pz58+zYsYPIyEjS0tKUgKDatWvTvn17mjZtSs+ePYs9hjRo0IBRo0Yxb948TXI20d+OHz/Od999x9NPP10hwoqQkBD2798P5AUDiXVyw4YNadu2bbm1RSKR3B8YDAYMBgMdOnQgJCQEyAtKhJtjsVirVaRIS1y3bdu2BAQEEB4erqnmYjabNZV/JRKJ5E5R+7aFr6gwge6VK1cUX1FlFeiKtqxYsYJ3330XyC/M9fHxYdCgQbi5uWmOkZQ9W7duZdmyZfzzzz+YTCZlbhN2G8gT4gL5/Mxib2OxWLh69SoLFiygSpUqDB8+vETtqFmzJmPGjAFgzZo13LhxQ9lXq5MJrl69GuCOBLpSmCuRSCSSex29Xk9ycjIHDx5ky5YtHDlyRJNUStieHR0dgbz5PC0tDbPZzMaNGwFYvnw51apVY/r06dSrV48mTZoo64DKtuYEbZtWr16t+KXUc7vNZqNdu3bUqFGjIpt6XyLWUjk5OaSlpbFhwwYuXLjA9u3bFd9LQQghK9xcM1avXp2hQ4fStGlTWrVqpawFK2OfFIi2paens2nTJs6fP688L/Z/zs7OPPDAAxXcUolEIpFIJBJJYcgInnsAteM5KSmJatWqaV6/lUBXHQh5JwJdtTB33LhxnD17VuM0EcFwVapUYfTo0XTq1Kl0vwjJfYVazPDEE08QFRWlOH1EMK3ov+pjhFPm77//JiYmhhs3bvDUU08p/bMox4x4LTs7WzmfOL/JZFIMAMX5vWRnZ7NlyxYuXLigHOPg4EDfvn2V9svg3/KlKGGuvUCmPIW5Ak9PT2bMmEFmZiY7duxQBBFCgG4wGAgLC+PHH39k6tSpioH0VhQl0IU8B7/NZpPOxUqCOit6WQt0KwrRxnPnzrFt2zalUh+giOSbNWuGp6dnBbdUIpHcK5S3QLc8hLmQty7t3Lkz27dvJyYmRs7plYxjx46RkpKimb/F3lrs7Sv6/jRt2pSZM2fywgsvKGI3sQ+6ceMGP/74Iw8++OAt2yl+J/Xr18fNzQ2z2awkDRs6dCgLFizQvE9SdsTGxnL06FGWLFlCeHi48ryw4YixCG7uddXZwi0WC4cPH+batWv07t2b8ePHU7du3VveN6vVSo0aNXj77bcZO3YsKSkpylinFjXu2rWLrKws0tPT6devX7H26iVFp9Oxd+9epk2bhs1m01QsF3NBt27d6NixI1AxGdslJUf0wTFjxvDnn3+yf/9+jWjWZrNx6NAh+vfvj8FgKLS/2lc67du3L3379uXhhx/mzz//ZOfOnYoNSn1de1uUXq8nOzubjIwMFixYgKenJz179mTw4ME88MADeHl5KdcsbC729PRk9OjRZGRkcODAAZYuXSqFuRWMxWIhMzOTL7/8kv3792vGUDFOwk0BxP79+3FycqJFixaMHTuWNm3a4O/vX+h4qe7DR44cYdu2bRrbD9xMYLV161aqVq3K2LFjcXNzK/N5U5w/MzOT9evXK+I4deC9zWajW7dutGzZsszaIZFI7m/8/f2BPLGPmG/37NnDpk2bGDJkSIXvIcT87OfnpxHnCh9pYmJiRTZPIpHcg1Qmge7t7NvV18/NzWXp0qV89NFHAPliTKxWKx07dmTAgAFyL1TOrFy5kg8//JDMzExNhVp1UmvxnDouQwh3xb1UH9uiRQtat259W+3x9/fnX//6FzabjbVr1yoCXZvNpszFdyrQlcJciUQikdzrpKWlcfr0aT744AOio6NJTk7WJJgSiVV1Oh0mk0k5TszpYp1psVi4ceMGCQkJ/N///R+enp5MmDCBYcOG4e3tXeniH9Xrzx9++IFvv/0WyJ8UpmPHjsr6Wvosyxe9Xs+1a9f48ccfOX78OGfOnFFec3Bw0BSSEEnJhQ9T9LXo6Giio6MJCQnBx8eHbt26MWzYMJo2bYqHh0elXLOp2/TTTz+xdu1aIL9ovE+fPjz00EMV2VSJRCKRSCQSSRFUrlWmpMSITYXJZGLy5Ml89913xMbG5nufvUDX29sbk8mEo6Njvo3wiRMn+Omnn9i6dauygVEb0guiuMJcgCeeeIKRI0cC3PK8EklBCOdNTEwMU6ZMISoqSnHEqbOyij4tNuGgdQ5evnyZH3/8kY8//lh5v7rySUHXVf+vvo7FYmH79u1kZGQU6zMsX76cVatWAWgqs3bo0EHTdkn5UJgw12QyVQphrsDf35/Jkycr/USdeVgE0e/bt0/Jwi+CQm+FEOg+/fTT+Pr6KsGfwsgjRTyVD3uB7vDhw/Hx8QHy7rsYD4VAd8OGDaSnpxdrXq9IhJE/JSWFhQsXcuXKFaW/6fV65bc4ZswYKc6VSCSlir1Ad8iQIXh7ewPaymCAItD97bffyMrKKtHYWl7CXDU9e/ZkzJgx2Gw2HnvsMTmnVyIyMzOVx6IP6fV66tatS506dYq9nisrRJsefvhhRowYoXkObu5bzp8/T3R09C3PJdattWvXxt3dnZycHCWITQhz7StrSEqfsLAwPvroIxYsWEB4eDgODg4axzVoxYbqitviNb1eT1RUFL/99huzZ8/m4sWLt7xvYoxt0KABb7/9tiLQFnt5sbYFOHToEEuWLOHrr7/WBG/eLuo+m5OTw6ZNmwoU5orxsE6dOkycOFERgUjuDkR/tVgsSpCvEOGKPvzbb79x9uzZYo0z9naZBx98kJdffplNmzbRsGFDQBuYY/9YnUgLIDU1ld9//505c+YwceJEtm7dytmzZ4G8vlfQmO/p6clTTz3FL7/8grOzsxTmViApKSmsX7+eZ555hh9++EFJuKe+H/Y2SbPZzNGjR/nf//7HG2+8QUhISKHrRnGsTqfjkUceoU6dOoB2fQAQHR3N+vXr2bBhAxkZGWW6x1fPy8uXL1cC3NX2IpvNRqdOnZg1a5amvRKJRAJ5c5u6ssntjBPdu3enZs2amnldjL+bNm3i2rVrpdPgO0CM0wEBAYB2XAcwGo0V0zCJRHJPYy/QHTFiRKG+IiHQXb9+fan6iqKioti1axcRERHFPkb4gQBOnjzJu+++W6AwV9gDGjRowMyZMxVbraR8+OGHH5g3b54S/6Dub0IMC+Du7k5QUBDdunWjS5cuNGvWDBcXFwCNzcVisRAUFMTMmTOpV6/ebbdLVNAdMWIEXl5emuQdIlk73KyG9+abbwK3jgMRFCXMFTYqKcyVSCQSyd3MiRMn+PLLL3nuuecIDQ0lNTVVE2sp/NX260T1HlckchWPDQYDWVlZxMbGsnDhQubMmcPSpUs1iVkrA+IzrFixgvfeew/IL8z18/Nj2LBhynpH+izLj4iICFauXMnIkSP56aefOHPmjJIQRsSKiXWYWJuJv8Vr4l6K9WBiYiK//vorr7/+Om+88QaXLl3SrNkqgy1b+F3hpjD3008/BdCsQW02G40bN2b69OlA8eNBJRKJRCKRSCTli4zkuYtRC3OfeOIJjh07xpkzZ3Bzc2P48OH4+flp3l9UBV37SiUlqaBblDDXPrj83//+N8888wwgDdSS20en05GcnMw777xDRESE0t9EdlaBm5ub4iwSz6srmFitVhISEvj555+x2WzMmjWryMyp4jcQFBTEjh07NM4XgODgYC5fvkzz5s01x9mfb+nSpXzwwQcAigAUYPr06bRq1aoUvylJcShKmKvO+gswZ86cChPmClq2bMnQoUOJjo4mKipKE6RptVoJCQnh559/5qWXXipR+7y9vRkwYABws4Lu9evXFUOPdC5WTtQC3RdffBGdTldoVvTLly+zYsUKbDZbmWRFLy3EeGm1WnnxxRcJCQlRxlrhVIebiT569uxZwa2VSCT3ImVdQVeM2+UpzBXHPvXUU9SqVYuBAwfe8Tkld47oK8nJyYC22p7VasXT01PjDK8o1CKjdu3asXbtWo34zGq1cvXqVUJCQqhZs+Ytz2exWHBycsLNzQ24+dsRDnDZJ8uew4cPM3/+fCIjI8nNzVUCI9Vjl/o5yEt2pe6fer0eBwcH0tLSSEpK0mROLwpxf7t3784rr7zCggULyMrKKrCCbmhoKJGRkZw7d4758+fj6up6W59Z3a9Onz7Nzp07FdGvWpgr9n2urq689tpr+fb1krsDsYcfO3YsGzZsICoqSgmicXBwwGQy8f333zNv3jzc3d2LfV51v1+zZo0iygTt+K3O0i6Cg0WQknguOTmZxMREXnvtNapWrcqwYcPo3bs3TZs2xdHRUTmv+jco2io+h6T8iY+P57PPPmP//v3ExsZq7qlIuKe+Z+L+CxtkUlISBw4cIDg4mE8//ZTevXsXeb1+/foREhLCTz/9pIyLoh9arVYuX77M8uXLFXu8u7t7mcyj6qCggsQSNpuNWrVqMWrUKBwdHSulnUEikVQcYlyKjIzk888/Z/To0bRv375If2NheHl5Ua1aNaKjoxXboRiLhG+0du3aFVqRx34MVot4rFYrVatWrZB2SSSSe5+KrKCblJTEmjVr+O2336hduzbPPvssnTp1Ul5XJ3sR62SRHDg3N5evv/6a/fv3ExISAuQX5prNZnx9ffnss8+oXbv2bbVRcnssXbpUsdmJuUzMa2azGScnJ3x8fBgzZgzdunWjSZMmmuPDwsI4ffo03377LUlJSaSnpxMYGMjkyZNp27btHe9datasydixYxXfaFJSkrL/FwJdi8VSogq6txLmivNL37lEIpFI7lY2bdrEd999x4ULFzCZTIpvxn6frp77xRxnX6FUjVjziXXCvn37OHr0KEeOHOHDDz9UknZUBPZr3e+++46FCxcC2rWnaH+XLl2UWCRp5yw/du/ezfr169m3b5/iNxS+FXViH0Djf1H3VXU/Fv1aHHft2jWuXbvG4cOHeeGFF+jevTt16tS5LRtVaSOuvWzZMt555x0gvw3e09OTRx55hFq1agH5bVASiUQikUgkksqBjOa5S1ELcydOnMiJEycwGo2kpaXx3XffodPpePzxx0ss0BXnLa5A91YVc9XB5RMnTuSVV17RtF8iKSnCuXHgwAHFUacW5np4eNCzZ086d+5MkyZNyMzMJCkpiR9++IHIyEgSExMBbYBxSkoKv/zyC0CRAl2xsRUVUoR4U7wWHh7OO++8w3//+1/q1KmDk5MTkFct4+LFi/z+++8sWbIE0ApzW7VqRdeuXcvqa5MUglqYO378eI0wVyDGsNdff50JEyZojitvRCDuwIEDOXHiBGvXrlX6q1rQs2nTJvr06VNisbdaoLtkyRLi4+MZOnSoppKZNPBULioy6KIsMBgM5OTkMH36dA4dOpSvGg9AixYt6NWrV8U2VCKR3NOUpUBXr9eTkJDApEmTykWYK64p1rZSmFt5EH0kLS0NQOP8VYuvKlOFxGHDhvHbb79x6NAhTTvNZjOhoaEMHDjwln3LYDBgMBjw9fWladOmUphbjuzbt4+ZM2eSnp4OoMn6ra6Qa7FYMBqNODo6YrVayc3NVfqnWFuKDNU+Pj7Mnj2bRo0alagtTk5O9O3bl+TkZL766iuNQNdisShjbEZGBps3b+bixYuMHz+ejh07EhAQoEncYr9vVzveHRwclH713XffsWvXLo4dO5ZvzFUnZPrwww/l3vwux2Kx4O3tzejRo/n888+VwAzRj8PCwkhKSiq2mFEdgPT9998rwbciYFecPygoCJPJxJUrV5Tn1DZS+0oC2dnZxMbGsnjxYjZu3Ei9evWYPn06NWvWxN/fv8C1RGXau91PREdH8+qrrxISEkJubq6mIlNB96Qgka4IFMrNzeXpp59m4cKFPPbYYwWuG0U1yJdffpkzZ85w/PhxTSJMMUZeuXKFX375hZSUFJ566im8vLzKxOb+ww8/FFhJAsDZ2ZkePXoo46bsoxKJRKAW5o4cOZKUlBQyMzNxcHCgdevWJQp+tNlsuLu789RTT/Hyyy+Tk5OjHOfg4EBmZiZvv/02rVu3pkaNGhW2t1ALziDPtqDe60kkEklZURG+IpPJxN69e1mzZg2JiYnExMTwxBNPMHXqVJo3b07fvn01+ym4uS86e/Yshw4dYtOmTYSGhiqvqauqiX26t7c3P/zwA/Xr17+j70dSMlatWqX4hgsSTHt6ejJu3Dh69+5NixYtlONE7ISDgwNNmjShadOmtG3blp07d7J9+3a6du3Kww8/jLOzc6m009/fnzFjxgDkE+gKu1BxBbpFCXPFPl4KcyUSiURyN7Nq1So++ugjxS8p5kS14FY8py6MIhJK5ubmagqYCB+LWhyp9u/k5OTw119/MW7cOObMmUOLFi1uOwkr3CxIYLFYlJhNyC+8tUc954eHh7NmzRqWLVumtN9+jdO4cWOeffZZvLy8brudkpKzbt06PvvsMxISEvIV5xG2dXWSFGF/V/t91PG7wi4v3iNeNxgMpKSksHDhQk6ePMnQoUPp0qWLJonQ7ZCRkYGrq2uJzqN+X3JyMsuXL2fRokWAtm+K32bLli0ZPXp0hQrdJRKJRCKRSCS3pnJEeEpKREHCXLHhFY7ob7/9lvT0dKZNm4anp6fm+KIEuiaTqdgVdEtSMXf8+PH83//9n6b9EsntIDamW7Zs4fr164qDx2QyUa1aNf73v//Rtm3bfP2+TZs2bN26lbVr13L+/HnNprwkAl2Apk2bUrduXSIjIzXBeAaDgePHjzNr1iy6detGr169lOomv//+OydPnsyX+Ven02E0Gunfvz+tW7cuo29NUhhCIDNgwACsVitOTk7k5uYC2mCZvn37KsLcihzDhCHHxcWFV155hWPHjnH58uV81QKuX7/OuXPnaNWqVYkd6t7e3gwcOJCMjAzi4uKYO3cuIJ2LlZmKFuiqj8/JyVESE5QUi8XC1atXeeONNzh69KhGmCvO7+zszKOPPqrJvC6RSCRlQVkKdC0WCzVr1iQ5OZnMzExlPVsWwlxBYUlnJJULdZ/JyckB8pyGFY1YA7dv315JoCGElAB79+5lxowZxRYST506VRHyyHVm2bNnzx6mTZsGFFztRNC7d29atWpFly5dMBqNmEwmMjIy2LNnD6dOneLYsWOKMNfLy4spU6bQvXv327p/Xl5eDBkyBJ1Ox+LFizWZsNWiYb1ez9mzZ1m4cCE+Pj489dRTNG7cmKZNmxa4L1MLNeLi4ti0aROHDh1i3759ynvUAb9q+9Ynn3yiVLOsbElsJMVH9It27dopwRmi3+t0Oi5fvsy3337LvHnziiXMFf2gKGHuyJEj+e9//0tUVBQ//PADhw4d4tKlS5jNZuUa6sqqajuS2WwmJiaGa9eucebMGfz8/Ojfvz8jRozA29u7rL4mSTG5evUqzzzzDOHh4YB2rlYHrqkz80Oe3c++irJY87388st4enrSo0ePfOONOKfRaOSTTz7hySefJDw8XDmnuoJudHQ0a9eu5cKFC/zvf/+jevXqd/R51XNyXFwcP//8M4sXL9Z8JsgLWGvSpEmB/geJRHJ/oxbmjhkzhpSUFOBmshiLxcL06dNLJNAVrwcGBmqq54r9iIODA/Hx8bz99tvMnz8fT0/PClnLiXWBEJqJOUHYD+yTKUskEklpU16+InGuEydO8Mknn5CYmKhJMvf1118ryRh8fX1p0qQJKSkpJCYmEh0dzfHjx5X9lHqvJgLoxXkCAgL46quvaNCgQWl/VZIi2LlzJ59//jlQsGC6WrVqvP/++7Ru3Ro3Nzcgr08I8Y6ahg0b4u/vz4ABA6hSpUqp7x38/f3517/+BWgFukCxBbpSmCuRSCSSex21bVudeFDMiWK+9/LyIjAwkC5duhAUFISHhwe+vr7YbDZiYmJITEwkLCyMQ4cOce3aNWVfLmzd9kJJBwcHQkNDmTt3LtOnT+ehhx6iatWqJW5/YmIiq1evZvXq1TzzzDP07t2b+vXra+yxBSV0FY9/+OEH9u3bx99//620S114yGQy4efnx0cffaRUJpWUD8uWLeP9999XfJX2VXHF8xaLBQ8PD1xcXGjQoAHOzs44OztjtVq5ePEiWVlZXLt2TWOLEaj9Mg4ODmRnZ7Nlyxb++ecfnnzySYYPH67ZS5WEq1ev8ueff+Lk5MSIESOUxMdFnUedwGjPnj1s2bKF3377DSjYBh8YGMjcuXPx9fUtUdskEolEIpFIJOWPzlZZIj0lxaIwYa7aMCwCC8eMGcN//vOfW57rypUr+SroQl4gENwUNk6YMEER6Obm5mI0GostzH3jjTc015RI7oSDBw/y5JNPaoKJvby8WLJkCS1btlTeJza7wpmYlZVFcHAwX375JSEhIfkyawF4enoyatQoXnrpJaDwPjt37lzWrFmjbJbVDku18xBuismys7OVv4VzR1z3X//6F2+99ZamzZLyIz09nZkzZ7Jv3z5NYKXaiFezZk2mTZvGI488UimCY0W/3LZtG2+++SapqalKe4XBMyAggFWrVuHj43Nb18jIyMjnVJVUbtQBup999pkSdAFoxiqbzUbdunUZO3ZsqVbQPXz4MBcuXODBBx8kKCioyPeqA5d1Oh3x8fH8/fffLF26lLNnz2qEuepxety4cVIwLpFIyhUx1uTm5vLxxx8rAl3IG1vF2i8oKIhx48YVKdAVz0VHRzN//nwOHDiA2WxWzlEWwlxJ5UT0hY8++kgJWjSbzcr82KJFC9asWVPRzczH6dOnGTt2LCaTCcjLNBwYGMiGDRswGo1FHm//u5ACyLLn77//Zvr06eTm5hbo1IWbyYh69erF448/XuA5xHj09ddfs2PHDsLDwxk5ciRPPvnkHYsMbty4wR9//MHChQvJyMjQtFEt0lXvs318fGjbti1BQUF06NABBwcHPDw80Ol0REREEBERQUhICMHBwSQnJyvHiaBfQHNOX19f3n77bXr06KG5ruTuZ+HChXz33XdAnpDSarUSGBjI+++/T8uWLQu938UV5g4bNox3331Xc+zZs2c5deoUS5YsIS0tjdTUVE3wr9rmIK4h9kAWi4XGjRuzbt26SlM5/X4lMjKSSZMmERMToxk/7BMb1KpVC09PT/z8/EhLS+PixYuYTCbS0tLyBQHZbDYlQaaTkxPff/897dq1K/D6Yuw9e/YsM2fO5PLlywVW0BX4+fkxf/58mjRpogTqlGQ8U7/3jz/+YOvWrWzbtg0oOCioVq1afPfdd9StW7eY36hEIrkfEGNJREQE48aNIyEhAUdHRyW5gNFopEuXLopAV31Mcfj666/56KOPABSboTiHj48PkydPZty4caVWka+k2Gw2Bg0axMWLFzX+hcDAQNatW6ckc5VIJJKypDx8RXFxcYwdO5aoqCglvkT4KO2rVKkRY6P93l+M6WK93LRpU95//3251ixnzp49y/vvv8+hQ4cUUQTk7QF8fX35+uuvadq0aQW3ND8xMTGsWrUqXwVddX+z2WyMGjWKefPmAWhimwoS5tr7KKUwVyKRSCR3I8uWLeOdd94BCrbxGY1GPD09GTNmDD169KB58+bKseq1ofqxxWLh6NGj7Nu3j7Vr15KRkYHJZCpwjSdEszVr1mTChAkMGjSoRCLD3NxcfvvtNz799FMSEhLQ6/V07tyZzp07M2HCBKUoij0XL17kzJkzrFmzhqNHj+ZLqqj+DqpWrcqKFStkUphyRu13Udt41DHrAH369CEoKIihQ4fi7u5OtWrVNOfJzs7GarWye/duIiIiWLNmDWlpaaSlpeVLBmTvc3RxceGll15i/PjxQMnWeGlpafzyyy988cUX6PV6unXrxuuvv46Hh4fGLmW/x8rMzCQrK4tPP/2U4OBgLl++DBTcN729vfnpp59k35RIJBKJRCK5S5Di3LuI4ghz1RUb5s+fDxTt2C5KoKsWeUGeQLdPnz4YjUbS0tKYMGGCFOZKyp3Vq1fz5ptvKo5FNzc3/vvf/zJo0KBbOg3NZjP//PMPH3zwAUePHtVsqNUC3dGjRzNr1ixA23fFJjwlJYXp06dz4sQJjTBD7aRSb5jVwXLqgJFBgwbxwQcf5LuOpHxJT0/nzTffZMuWLZqAXcgz+vj5+TF9+nQGDBhQaSqCXL16lRdffJHQ0FDNOGwwGPDy8uLrr7+mWbNmdxRcLgPT7y4qSqB79uxZPvnkE/7++28aNmzIiy++SM+ePfO9r6BrHD16lO+//55Tp06RkJBQYMVcq9XKkCFDeO+99wA5XkokkvKltAW64nzR0dG88847/PXXX1itVl5++WWefPJJzXsk9z7C8ajOBKzX6/Hy8mLDhg1Uq1at0vQFm81GfHw8I0eOJD4+XunbOp0OV1dX1q1bR2BgYAW3UqLm5MmTvPjii8TGxhaYCRxgzpw5PPTQQ8q9K2idpR6Tjh49SmRkJC1atLhlQpbikpuby549e3j99deVxEOAxlkOec5o+2zowhYlxmo1wkZVkGPfxcWFxo0bM3PmTDp27AjI/c+9griPu3fv5tVXXyUtLU3ZY4h+8Oqrr/LEE08UeTwUX5gr+pl6zI6IiODcuXMsW7aMM2fOkJWVBaDZ80CecNhsNtO6dWuWLl2Ks7Oz7I8ViFpUVlhig549e/Lggw8ycuRIjEajEnATFxdHaGgo69atY+fOnco51eOQOE/r1q1ZuHAhAQEBRbbn4MGDvPXWW0RERGjaIxDnq1KlCr1796Z///489NBDyusFrS3V9gO9Xk9GRgZpaWksXLiQEydOEB0dDRQcFOTl5cXy5ctlUJBEIimQ9PR0Bg0aRGxsLEajUZPY53YFuuL1pKQkXn75ZQ4cOKCcU7wO0KRJE2bMmEG3bt3KNcmFaN/OnTuZMWOGpiKk2WymZ8+efPbZZzg6Olaa/Z1EIrm3KYmvqF69eowdO5Zhw4YV21e0c+dO3n//faKjozXVSQsScIh22ItwxfvUr1evXp3u3bvz7LPPUrNmzTL8hiRqRH/59ttvWbRoEdnZ2cq9EnOZj48PK1eupE6dOpV2r3o7Al1AVsyVSCQSyT3L2rVrmTt3br7kKGJ+9/T0ZOTIkfTp00fZn0NeVfmCsH/t2LFjHD16lK+//pqMjAwgrzqvvU/G19eX0aNHM3r06FsKdMV8e/DgQV555RWuX7+O0WjU+ICaN29O9erV6dixI66uruTk5BATE0NcXBx79+7FZDKRlZWlEWiqbfJWq5VatWrx9ddfSztnObNixQoltr2gvunq6kqHDh0YPHgwjz76qOZYdbEesWZTExkZydmzZ/nhhx8ICQkpUJgtEK/NmjWLqVOnas5/K7Zt28b//vc/xYdgNpupXbs2nTp1ol+/fgQFBeHn50d2djaOjo6Eh4dz7do1Nm3aRFhYGBEREcq51LHF4vfi4+PD0qVLadiwYbG/V4lEIpFIJBJJxSLFuXcJJRHmDh8+nLfffhsoerNsf+7iCHRbt27N008/Tbt27Zg4caJGEAbaACUpzJWUNqIfzZgxg23btilGl44dO/LOO+9Qq1atYp3HarUSGhrKggULOHr0qGIUEq9B0QJduLk537dvHx9++CHnzp3L58hUY1/RVPw9YsQI/ve//xV4fkn5U5BAV9wv8djf359p06ZVKoGuEKsDGkeozWZjypQpzJ49u6KaJqkgylugm5SUxKJFi1i5cqXm+eHDh9O8eXMee+wxAKUyRGpqKpmZmWzbto2zZ8/y66+/KsfYVyMX7Xz00Uf58MMPATleSiSSiqGsBLpRUVG8+uqrPPzww4pASAb33F+sWbOGuXPnaoLFBN988w3du3evwNYVzIQJEzh69CiQ57Q0Go1s2LBBOq8rEREREbzzzjvs27cPQON8FgKJDz74gEGDBinHFLUWVL9mMplwdHQs9TZfunSJ119/nbNnz5KVlZUvcZJAvccWznf7fb3alqUOABZ2Kz8/PwYOHMjQoUNp1KjRLT+/5O5l6tSp7N27N18f8PT0ZNmyZTRu3Fjz/tsR5hZnj7J582aOHj3KqlWrlEANYdsVNt/mzZuzYsUKnJycimXTlZQNERERjB07lsTExELt3hMnTmTChAnUrl1bqf4g7PPqddxXX33Fb7/9pmS/t6/y6OnpyYwZMxgzZkyRa0CLxcLx48f5z3/+w6VLlzSVnASifWLcHDZsGM2aNWPo0KHodLpCqzXGxsZy4cIF1q1bR2hoKBEREco5Cko4WLt2bZYsWSLnfIlEUiTffPMNX375JVlZWZqx704EuuI933//PYsWLSInJ0fZQ6nXjB06dOCll16iVatW5b62+/jjj1myZAmAJuh34cKFio1UIpFIyouyFuju3r2b1atXs2vXrgKr4ULeWFhQki17v3mrVq0YPHgwAwYMwNvbu6y+Fokd4v5cunSJMWPGkJKSouwDxB6jWrVqfPXVV7Ro0aLS++gKE+hCXnJ1+ziNCRMmyIq5EolEIrnn2Lt3L/Pnz+fq1asaG596fl+wYAFt2rRR7IYlmefs33v+/Hnmz59PWFgY6enpmgql6se+vr5MmTKFoUOH3jLuTh3LLNaa6nPZry8F9j4kyB+DZDAYaNSoER999BH16tUr/hcruWO2bNnC3LlzycjIKLBvenl58eKLL9K5c+c7SgptsVj49ttv2b9/P8HBwUB+ga66Su/s2bOZMmUKUPhvQfSjU6dO8cILLyjJkcX7hf8AoGbNmlStWlUR58bExJCamqq8bl+4Qh0nEBgYyOLFi6lfv/5tf36JRCKRSCQSSfkjxbl3AbcrzC2JYbwkAt1WrVpx/fp1oqOjZcVcSbkiNqMTJ07kyJEjysb0jTfeYPz48SU6V2kIdLOzszl48CCLFy/m1KlTipPGvroPaAP4/Pz8eOyxx3jppZeA4onoJeVDcSroVhaBrtpZOmXKFGJjYwFtIPpjjz3GwoULK6yNkoqjPAW6ixYtYtGiRQDKWKY2ODZo0AAHBwfq1KlDTk4OERERmEwmoqOjNZXOxDpDPYbabDZGjhypZEyU46VEIqlIykqgm56efltOT8m9wZUrVxg3bhw3btxQ5j+xd5g8eTJz5sypNHtq0Y5///vf/P333xrntoODAz///DNNmzat6Gbe99hsNsxmM8uWLWPJkiWaSrTqfemSJUvo2bNnRTZVg+hfcXFx/Pzzz+zdu5czZ85o+pkYYwsK8hXP2wf8gvZzAzRr1oxZs2bRrFkzGfB7DyPm1EOHDvHSSy+RmJioqcxkNBp5+eWXGTt2rNL/ykKYa//6gQMHOHLkCOvXr+f69evK861atWLZsmVSmFvBqIW5wjYO2nHkueee47nnnlOOKWidp77v69at4/vvv+fixYtA3tgk9r5BQUGsWrWqUPGsmvDwcGbNmkV4eLhi+xF7f2HbFGJhQa1atfD19aVDhw44ODhQtWpV9Ho9ERERxMbGEhYWRlRUlPL+woKCdDodDzzwAB988AF169a9jW9XIpHcD6j3tMuXL+e9997DZDKVikBXvJabm8uzzz7Lvn37NDZFdUBl165defnll2ncuHG5CXSDg4N55plnSEtLU+YAm81GkyZN+Oijj+TYKZFIKoSyEOiqx/rw8HB2797NRx99pBFAqv3latR7MrG+dnd355FHHmHGjBl4e3uXSTIwSdFkZWXxxhtvsHnzZmVuFfOqh4cHb7/9No888ki5JTW70+sUt4LuyJEjuXbtGgcPHpQVcyUSiURyTxEREcGHH37IX3/9hdlszucr8fX15dtvv82XuPJ2EXNkQkICP/74I9u3byciIiJf3J1YH9asWZMXXniB/v374+zsXOh5f/31V1599VUAja1WvVZQ+4fUdlK1TRNQXrPZbPj4+NCpUydmzpxZ7EIwktLh+PHjvP/++5w8eVLzvEgs7OPjw6JFizSVnG9nbaj2+YSHh7Nu3Tp+/PFHQFulVvwt+tabb77J2LFji7xuWloaTzzxBGfOnNGsIe1/Z/Z9X5zTPqmReq3q6upKixYtmDdv3h0JkyUSiUQikUgkFYOM8qnk3EqYqzYe364wF/KyRNatW5eVK1fmE+iK81ksFmVzpBbsSmGupDxQG0wMBgM6nQ5XV1datmwJlMwhotfradasGa+++mo+ga7YHKekpPDLL78AMGvWLKXPiz7t7OxM9+7dqVWrFh9//DG7du0C8gKFRZutVqvy+xg8eDC9evVi4MCBwM3fiAy4rDy4u7szb9484GamNrXTWjjjYmJilOz3FSnQFb+H+vXrExQUpAgdIa8PHjt2jKSkJCXwUnL/IPqtXq/nhRdeAFCCLsTzor9cuXJFqXpbUoHutm3bFGGu0WjEZDIpxkO42RdFAPK5c+eU48Q4KoyM6oBnsbaoWrUqQ4cOZc6cOYAcLyUSScUjxlaj0cjMmTMBFIGuGFvFe8LDw1mxYgVAoQJdMVYKIYZ6/JTcP7i4uGjmbavVqsyFe/fu5dlnn73t6valjVgPG41GQCsucnZ2LpaoSFK2iH6SlJTE2rVrSU1NzVctFODTTz+lZ8+elaJfCYQzvEaNGkyfPp0xY8bwxRdfsGvXLuLj45XAUNA6sdXtVzu+1RVexOfu1KkT7du3Z8qUKUUGfEjuDUR/qVevHr6+viQmJmqq5GRlZfHzzz8zbNgwXFxcNPae0qyYqxbn6HQ6unbtSteuXRk7diwrVqxg//79pKenS2FuJcBemCuqjKvt3urs+YKCxlF1Fd3hw4eTlZXFZ599RlpamiYox2AwEB4ezoYNG5gwYcIt2xgUFMSyZcuYNWuWku3fPnmnuK5YW0ZFRREVFUVISEiB5xTtF34GdZI6cc7q1avToUMHZs6cSe3atYvxbUokkvsV9d5m/Pjx6HQ63nvvPXJzczXBhiLx1d9//w3AtGnTaNOmTb7kK2pE8gGj0chHH33E2LFjlWQFYh8l5voDBw4A8Pzzz9O8eXNlPi+rtW9ycjJ//PEH2dnZms9ps9no2LGjFOZKJPcx6rGnIuImSuIrunz5suIrKkqgq05WHRQURFBQEO3atWP16tWcOHGCiIgIzfvVCeHh5nfi6OiIk5MT48ePp23btpUqedj9hLiPCQkJnD9/HkCxS4o5d/jw4bRv3x4oeO9TWm0oiIJiP4ozn/v7+zNmzBgAjUAX0KwX1qxZA6CpmCuFuRKJRCK5mxHz1dGjR9m3b59GIChsnD4+Pixbtox69eqV2vwmruHj48O0adNo0qQJy5Yt4+TJk8o1xBrDYDAQHR3N4sWLqVOnDm3bti10nTx06FAcHByYPXu2YqtVxyIJxGO14FHtw1Tb95s1a8bAgQN5/PHHZfLWcsRms5GZmcn27ds5c+aMRpQqYuN9fX1Zvnx5PlHq7axB1QmDGjVqxGuvvUbt2rV57733FFu//T7NYrHw4Ycf4uLiwrBhw4q8bosWLUhPT1f2PuJ4deJM+z4qzmcvmBd9MyAggN69e/Pkk09So0aNEn9miUQikUgkEknFIyvnVmLKo2JuYdcsrIJuQdVIpDBXUtqog8gK2uiOGTOGEydOAODt7c2GDRtue1NqX0FXbXQqbgVdwerVqzl//jx//PEHFouF1NRUqlSpgpeXF82bN6dfv3507NhRVka7Cyiogq4wolSmCroiaPfLL7/ks88+04zHAD4+PmzatImqVatWSPskFU9ZV9Bdv349y5cv5/z580p/FIbEwiqX2f8tUAtGWrduzZAhQxTnuVxTSCSSwlCPc+W1rirtCroSyQcffMD333+vOOzU1XOfeeYZnnvuuUq1b3jmmWf466+/NPN8lSpV2Lx5M9WrV6/g1kmsVisvv/wymzdv1ojDhDP4v//9L6NHj67gVhaf4OBgwsLCWLp0KZmZmSQnJyuvid+Keq2o3g8BeHh40L59e7p3707//v3x9PRUvg+5vrx/2Lp1q5JYwz57+cyZM3nyyScVQWxpCnMLQx3sYTKZMBgMiv1VCnMrhoIq5trbvefMmcPkyZOB4mfrV69R33rrLX7++ecC7esjRozgf//73y3PJ/pObm4uX3zxBX/99Rfh4eEA+TLu2ycvEAkExWN7Ia+60plYj9hsNlq0aMHjjz9Ov379ZMCaRCIpNurxb8WKFfkEupC/gq4Q6ELR46wYCw8cOMCbb75JVFSUxl+qTv7XoUMHpk6dSseOHTEajaW+Jxfn+/PPP3n99ddJTk7WtKVt27Z88803uLm5SXuARHIfIsbCtLQ0qlSpUuB71GvCshwjytJXJF7PzMwkJyeH33//natXr3L48GESExPR6/VkZ2djMBho1qwZ1apV49FHH6VOnTo0aNAgXxsl5c8XX3zB559/rkmUbrFYqFatGp9//jlt27Yt1evZ3+vr168TFxfHwYMHSU1NJTo6muzsbJydnWnYsCHVq1enV69eVKlSBaPRWOy+UlQF3YL2ZVKYK5FIJJJ7gejoaEaOHKkkq1T7iKpWrcqiRYto3759mfhIxLyam5vLsWPH+PLLLwkODi407q5Zs2asWrUKJyenIttz8OBBPv/8cy5cuEBqaqpiB1WfU3199dwubLt6vZ7+/fvz3HPPUatWLZycnEr1s0sKR/TB48ePM3XqVNLT0/Ml2a1WrRrfffcdTZo0KVP/3aZNm1iwYIFmL2Qvom3cuDH/93//R8eOHfMdL/pYeno6v/76K5s2bVKSYtrb4O3XnOI9kOefEu/r3Lkzo0ePpkuXLnh4eJTJZ5dIJBKJRCKRlD0y2qeSUl4Vc+25VQVdNWIDIZ6fNGkSr732Wqm0Q3J/IvqUcG7cuHGDuLg40tPTcXJywsXFhaCgIPz9/QkJCVGcIyLQ4nYQFXTnzJnDe++9pxHoFreCrng8atQoACZPnozBYCA+Pp4qVapQvXp1HB0dlQpT4rNKJ07lpaAKusIwVJkq6Iqg3aZNmwJaY45eryclJYUbN25Ice59TFlX0H388cfx9fVl/fr1bN26VQkmVwfyAprH9thXGB8/fjx9+vShU6dOQF4VIIlEIgGIiopi9+7ddOrUCQ8PD3x9fYG8ILLy2IeUdgVdiaRu3bqKo044AcUe5/jx40RFRREQEFDhgWDi+unp6ZpgPavVSrVq1WT/rmDEdx8WFkZYWJjGoSz605gxY+jfv3+Zt8H+8e0g+luHDh3o0KEDDz30EElJSWzevJnr169z4MABzGYzubm52Gw2zGYzrq6uODg4UL9+fRo1akSTJk3o3r07NWrU0FR2FkEZkvLlVonYynL8aNGiBa1bt+bkyZP5qpSfOHFC6Q/ffvstH3zwAVB2wlzIq6ZrMBiUx8LeKyl/ilMx99VXX+WJJ54AShaYrU4GMHv2bE6dOkVoaGi+oPcdO3YwZcoUAgMDi/wdCJuk0Wjk+eef58EHH+SPP/5g9erViq/AXqSr/l/9uKDAIHXAmoeHBw899BDPPPMMNWrU0Ng1JRKJ5FaobZLjxo0DKLUKumLubN26NdOnT2fRokXExcUVWEE3ODiYrKwshg0bxuDBg6lSpUqp7atE+86cOcN///tfkpOTNb5bX19fhgwZgrOzs9wnSST3IWKsiYiI4LnnnqNq1ao0atSIdu3a4e3tTcuWLdHr9Tg7OwN5a7OySthTlr4i8byLiwuurq5MmjQJgNzcXMxmM1arVRn/i/JXSr95xXH+/HmlD1gsFo0dqTSFuWrbOcCuXbsICwtj9erV5OTkcOPGjUKPbdq0KY0bN+b555+nVq1axbpeURV0BWqBhBTmSiQSieRuJzc3l6VLl5KYmKhJrG+xWHBxcWH69Om0atUKoEx8JGJeNRqNPPjgg7i7u/Phhx9y6NAhTbIYYcMMDQ3l1Vdf5cMPPyyyPZ07d8bf35+jR4+ycuVKQkNDgTzfl3oeV4tyhd1z9OjRtGnThqFDh5b6Z5bcGr1ez40bN3jnnXdIT0/XxJSZzWaqVKnCW2+9RZMmTcosPkz0v0GDBuHk5MRHH31ERESE4p9Xc/HiRTZu3EhAQAA1a9bUvCbsVe7u7owaNYouXbrw9ddfs2XLFkwmk+LnUZ/Xvkqw2WxWbPCNGjWiS5cuzJo1C0dHx1L/3BKJRCKRSCSS8kVG/FRCilMxtyyEuYKiBLoiOMme7t27K8Lc3NxcGawjKTHqQO/z58+zbt06jh49SkREBJBnwBk6dCihoaGaYLPr169Ts2bN23aO6PV6HnjggdsW6Nr/7oRDyM/PT/P51MhAjMpPQQJdETRZmQS6gGKgUfcz4TzNyMiQwT/3OWUVdCGO7d69O/Xq1aNDhw4sXLhQEUios1WqDY9CeKSutOvp6Ymvry/PP/88ffr00QSoS6e3RCIRREREMGbMGJKSkpRArjZt2lC/fn2aNWtGq1atcHZ2xsfHp8DjS1O4KwW6ktJkxIgR/P777xw5ciRfVudDhw6xYcMGXnjhhSJFbeWBXq8nMTGRixcv5mtHmzZtCq0CIykfxP04cOAAly5dUp4TY1GdOnXo169fqe9Z1H1BJF3R6/VcuHCBrKwsUlNTycjIwNnZmaCgIIxGo2acLmxstl8D1q5dm9q1a9OyZUsA4uLi0Ov1ZGRkkJCQgNFopEaNGpjNZqpWrYqbm5tyrNgnqX9fkvLDPvg2Pj6e9PR0MjMzuXHjBq6urtSsWRO9Xq+xo5TmeFe7dm26dOlCSEiIskcR19i9ezd//PEHiYmJ5SLMLQy576kYylKYKxDBYU5OTtSrV4/Q0FCNSFwEIRW3zwvxmYODA127dqVr1660b9+enTt3cuDAATIyMoC8OUBdPV2NWoyr/rw6nY5x48bRoUMH+vXrV6LPKpFIJGrKUqAL4ObmxsMPP0xycrISfFyQQPeff/4hKSmJixcv8swzz+Dj41Mq6wydTsfZs2d57rnniI+P1wSXArRv355HHnlEJoWRSO5DxNgXGRmp2DIBgoODWbFiBXq9ngYNGuDq6kqnTp0ICAigadOmBAUFFbjWLK3qumWdzNU+WZfBYNDEjKj35ur3SyqWqKgojhw5ovjx1PuIDh06AKXjqxPnEJX0tm7dyurVq5W9iIODgyaJu32idJGMbt++fcyaNYtu3bpRo0aNW163MIGuWIeAFOZKJBKJ5O5HrL+ysrI4ceIEoBWums1mGjVqRNeuXctNAGgwGHjggQeYMWMGH3zwAUePHgXy1qRwcz144MAB1qxZw+jRo4s8X926dalbty6PP/44mzZtIiwsjL///pu4uDhMJhM5OTlKBd66devi6elJ3759admyJa1bt1bOI+f38kV838HBwURHRyuxYnDz/js4OPDoo4/Srl07oOz8JGof+yOPPIKDgwPvvvsukZGRmveJ38vmzZtp3bo1I0aMyOcTUovQ69evz4IFC+jduzenTp1SkmhmZmZqzivWnaJKsI+PD2PHjqVt27YEBQUp75F7JIlEIpFIJJK7G52tsDJmkgqhKGGucFKLx2UhzC2oLVeuXMlXQde+El6HDh2YOHEivXr1wtHRUW4WJCVC9LW4uDgWLVrEkSNHiIiI0FSDsNlsmEymAisxzp49mylTptxxO6xWK2fOnMkn0BWvAXh6ejJ69GhmzZqlabvk3iU9PZ0333yTLVu2KE5BEWQjHvv7+zNt2rQKE+ieOnWK0aNHK78ZuGkwcnBwULK5SSoO+zmxooy96kyUn332mRJ0AXkGTuGMrlu3LmPHjr1l0IX982FhYWzbto09e/Zw9uxZzXvV/VNQo0YN6tSpwxNPPEGjRo1kX5VIJIUSERHBuHHjFAGWqLitXhu6urpStWpV2rdvT7Vq1ejSpQu+vr7Url1bUzFRzZ2Oyeqgoo8//lgR6ELe2CrWkUFBQYwbN04KdO8x1PfxdvqTCPxatGgRixcv1lS7U1ev+/DDD3n00UdLt/ElbKdOpyMyMpJ//etfJCcnazL8Pv3007z44ovSqV2BWK1W0tPTmTp1KiEhIfkqJ06YMIHXX3+91K5nP4Zdu3aNhIQEfvnlF2JjYwkODlb6r8DLyws3NzeGDx9OixYt6Nat221ft6i9uHrdK/tjxWOz2YiKimLnzp2EhIQQGhpKfHy8Uj0JoGrVqjg7O9O9e3cCAwMZMWIELi4uODk53fF9FH0mKSmJp556ijNnzijrBxEE7Ovry/Xr14GKEeZKKgZ7Ya6weZemMFcg+uH27dt54YUXlP2xWiD7xRdf8PDDD9/WeQFSU1OJiorip59+4uLFi5w8eVLzXvU1xbECFxcX6tWrR9++fenYsSNt2rQp8BoSiURyO6jHzxUrVuQT6EJekhej0UiXLl0UgS7cehyKi4tj5cqVrF27ViPQVZ8Xbs7x9erV49133yUoKAgnJ6dinV9gP+aeOHGCN998k7i4OGXtLcb0oKAgFi9eTO3atW/zW5NIJHcr6oq5Yq1pNBoxmUzK+KQWBYq9iYuLCz4+PtSsWZMuXbpQvXp1OnbsiLOzM97e3gVe43ZFrmXhK5LcvVy+fJkxY8aQmpqqSbTr5+fHzp0772gPbN9fYmJiWLBgAaGhoVy9ehXQ2tAL2quAtrqt2WzGw8OD0aNH8/jjj1OvXr1itSUmJoZVq1blE+iK/6UwVyKRSCT3Aj/++CPvvvuuJgmwmFfnz5/PyJEjy73QG9IkAAEAAElEQVRNZrOZgwcP8vHHHxMaGqpZG4i29e3bl/fffx9nZ+ci15v29vn09HQyMjJISkoiPT1dWa8GBgZqErhKKp6XXnqJzZs3K/dWxFu6urryxRdf0Llz53Jph7p/bd++nbfeeoukpCRNpWmx5vT29uaXX34hICDglkUtBFevXiU6Opr9+/eTnp5OXFwcOTk5VK1alZo1a1KtWjUefvhh3N3d8fLyKrBdEolEIpFIJJK7F1k5txJRnIq5wmHz+OOPl6kwF4quoKsW6MLNTK8mkwmTycSAAQNKJXur5P5A9N9r167x7LPPEh4enq/CogjWVD8n/lksFnbv3k2/fv3uWNR1pxV0JfcmBVXQFeNxRVfQVSdREGOyOtuam5sbrq6u5dIWScGo58LQ0FAaNmyI1WrF2dlZ8z5xL8ty7rydrOg6nY5hw4YVGnRhbzhv2rQpjRs35rnnnmPPnj1cunSJsLAwrly5gpOTk7I+aN26tVJtt169evnOI9cPEolETWRkZL6KZmKsEGObwWAgMzOTzMxMfv/9dwBWrlyJzWajfv361KlTh3r16tG5c2e8vLxo3LgxoA04U1d8LC6ygu79h321EvX9u517KZx8//rXv1i/fj1xcXEFVntavnw5tWrV0mR3Lk/EZxP9W/xOhHNyyJAhgKz8WJHo9XpSUlKUqrlCmKvX66lWrZpSraw0ggvVe+DExET27t3L999/T3x8PCkpKcr7DAaDYucyGAykpqZy48YNPv30U6pUqcLgwYOZMWNGiaouqwMyC0O9j5dULHv27GH//v1s3LiR5ORkzWvqqjjitTVr1gDw66+/0qZNG8aNG0eTJk3uqA2iz7i7u/PAAw9w5swZZWwVvxMhzFVXy5HC3Hubgirmikz9pS3Mhbx+KIRgQigGeeO1/W+kuOcVa5IqVarQtGlT3nrrLfR6PQcPHiQ2Npa9e/eSmJhIRkYGsbGxuLi4UK1aNQwGA82bN6dJkyY0adKEpk2bFlg5Q65VJRLJnVLWFXRr1KjBmDFjcHNzY/ny5cTHx2vs9+qkx+Hh4Tz55JOMHDmSrl270rlzZ+W8omofaO2T6mp+ACdOnGDHjh1s2LCBGzdu5BPm+vj48Omnn0phrkRyn6LX67l8+TKTJk3KZ8tUV4gS/4ugdJPJxNWrV7l69SqHDx8GwMfHB6PRSJs2bQgMDKRhw4a0bNkSNzc3vLy8CkwKWxxbY1lX0JXcXcTGxpKcnKy572pfs9Vqve0Ke+J858+f58CBAyxbtoyYmBjldXVCDXFde3ur+jWLxYKDgwOpqamsXLkSk8nEhAkTqFWr1i3bUlAFXXUslhTmSiQSieRe4Pz58/mKTgC0b9+egQMHAuUfj+Pg4ECHDh0YNWoUX3/9NdHR0RqBptVqZfv27XTs2JFx48YV2TZhnxefwc3NDXd3d2rUqFHg++WcXjn4559/+PvvvzWicWETHzNmTLkJc0FrT+/bty8ZGRm89tpriu1H+I0cHBxISkpiyZIlvPrqq4Umglf3L5vNRkBAAAEBAXTs2FHzvH2/LiwZjUQikUgkEonk7kaKcysJtxLmAuVWMVdNcQS64j0hISHKRkEKdCXFQfTfq1evMmHCBGJjYzEYDJrKU/aoN6fi8enTpwkJCSEgIOCODStSoCspCCHQ1el0bN68WSOUUAt0v/rqKwD69+9P1apVy7xdos+dOHECyAvoFG2rWrXqLatKScoO9Ry4dOlSFixYQFBQEN7e3nTp0oVq1aop1R2FIKGgynulOZfebtBFUQJdgfp5R0dH+vTpo/x9q8+jfl2uGyQSiZrIyEiGDBlCVlaWZg9i77hRi9AgL1jHbDZz/vx5pZr3N998A0CrVq3w8fGhc+fO1K1bl5o1axIYGJjPESLOfSsRmBTo3h+o56usrCwuXLjA2bNnOXPmDFlZWVgsFk3WW2dnZ3x9fZXjC7vXFouFGjVqMGPGDObNm0dWVpYmSB3gzJkzrF+/Hm9vb+rUqVM+H7iAdl+4cEF5TgSf+/n54eHhUa5tkhTMpUuXyMzM1FTNtVgsODk54efnB5SOYFWMiT/88AOHDh1iz549mtdEwi21+NFisSj9xmq1kpaWxooVK7h27RpTp06lVatWihhCcndjs9m4cOECv/32G99//73SF0S/FIFBIgu5sP2o9wMXLlzgwoULrFmzhtmzZzNixIg72mPbbDaMRiP//ve/2bZtG6mpqfkqTYnHUph771NQxVx1RnwoXWEuaAPGhO1TXMvBwQGTyXTbid7U4g64uR/X6XR0794dQFMRIzU1FUdHx0LXoLKvSySSsqKsBbp+fn6MGDECDw8PJdhX+FjVybgcHBxISUlh6dKlrFq1ijFjxvDggw/StWtXzVpUfR3x/KlTpzhw4ACrVq0iOTmZ3NxczfpGJC5aunQp9evXL6uvUiKRVHLS09N58skniY+Px8XFhezsbI290X7tpt4zCyEF3FyD3rhxA4vFQnR0tHKMh4cHbm5udOzYkerVq9OtWzdq1KiBr68vLi4uxarmBFKgK8nDyckJBwcHJVGVvXi8pMJc+/62detWlixZwtWrV8nIyNDYrNSxICJRkrAZCNRxGOpkhhkZGaxduxZ/f3/Gjh2rSaRRGGqB7vr165WK0VKYK5FIJJJ7gaioKHbt2qXsr9VCyPr16yuVZCtiDefs7MzAgQM5e/Ysa9euVfz4NptNWQP8/PPPdOvWjcDAwFuez35NXRhyTq8cREZGcuPGDc1zBoMBR0dHHnzwQaB812BqG9OwYcNITEzkgw8+wGw2a9acAMePH+fatWs0adLklm20T3RTUD8tKhmNRCKRSCQSieTuR0a9VQJuJcxVL9SbNGmiCHPVWZzLklsJdNUiNSEQAynQlRSNCMqNiYnhqaeeIjY2VhPIIBxA4rE6SFNtSHJwcCAnJ4f//ve/NG3aVKlKKQW6ktLG3d2d//73vwAaga66gm5sbGy5CnRtNhvx8fGcPHlSY1gVzsyOHTvi7e1dpm2QFIx67lu2bBkLFiwAIDw8HEDJfF6tWjUcHR154IEHaNasGfXr16dDhw7o9Xrl3qkNeLdT1dGekgRdXL58uUQCXXF++/baGxvF51JXvpRIJBJ7bDYbBw8eJCsrS/m7sCyi6jFHPC8ED+Jv9bwdEhKCzWZjx44dwM1KFLVr16ZGjRp069YNb29v2rZti4eHR771XVEBbVKge29iP1999913HDt2jN27dxeYUEi8x9vbm8mTJysVTgpLmiL+btWqFW3btlUC0QFlnZmbm8vGjRvx9/dn9OjR5brGE33zjz/+4I8//gBQgs+Bcm+PpHBiY2OVQEaxjxaZmp2dnTGZTLdd7USMZcnJyZw/f56vv/6a/fv3K6+L/bwQQKgTKUDeGlAEHIs99J49e8jIyODZZ5/lwQcflHvquxyr1cqyZcv4888/CQ4OBm6OcergWvWcJ+ZG8bw6MMFoNJKTk8OZM2cYOnToHbVLrBECAgIYOHAgq1ev1uxV1MJxm83G0KFDpTD3HqUgYa46CAxKX5gLef3+0KFDmj5ls9kwmUzo9XqqV69+x9eB/EFp6uu5u7tr1s9qmysUXZVcIpFI7pSyFuh6e3vz2GOPERgYyDvvvEN4eLgyv4vzC/+T1WolIyODb7/9llWrVhEYGEiLFi1o1aoV1apVw8fHhxs3bpCSksLZs2c5evQoV69eVUQ8kOc7Fedt0KABn3/+uRTmSiT3OXq9nokTJ/LFF1+QlpamWWeCNgm1OijbPlmQsCGpK58ZDAZSUlJISUlhw4YNwE37k16vp3HjxjRs2JC6devy4IMP4urqSuPGjZU2iWuobVPq80qB7v2Ll5cXzs7OpKenK8+J+IvY2NgSJUdX7z2OHDnCn3/+yY8//qi8Lvqcuu+IJEnid+Lp6Um1atXQ6XSYTCaSk5MVobpavG4wGEhPT2fJkiV07tyZRo0aFaudQqCr0+lYsmQJ/fv3l8JciUQikdwTZGZmKuJCdWEHo9HIkCFDgIqb62w2Gx4eHkyfPp1Dhw5x5coVZZ0s2hodHU10dLSSTFuuM+9+hP9F2HfEPRd7koYNG9KtWzeg/IXU6ti78ePHc+nSJdavX6+pOK3T6bh06RKrV6/mzTffLHYbi+q7sl9LJBKJRCKR3NtIcW4FU5Qw175CqM1mIywsjC+++IKnnnoKo9FYbu0sSqBrMpmkQFdSYnQ6HSkpKbzzzjuK0UX0IyE8d3BwoEGDBsTHxwOQmJiYL2hSvDc9PZ1XXnmFTz/9tNwr6Or1embMmCED2O4DChPoqivoqgW6AwYMuO3KJ8VBp9Nx+vRpQkNDNc8J52aDBg2A0q28Krk16u/7xx9/VIK6xZypDoRISUnBbDYTGxvLn3/+CdwMJHN3d6djx474+PjQvn17atWqhY+PD+7u7gWObSUd88paoAt5RsWCBGz275FIJJKC0Ol0DBgwgNzcXN577z1l3SdEFIKCMoyq9yBC9CMCfNTjkxAYJiUlKUG2O3bswGq1UrNmTapUqUKbNm1o1qwZdevWpWXLlpjNZtzd3TVtFWNnbm6uFOjeY4h7l56ezuHDh1m9ejV79uxR+pi64p64vzqdjuvXr3P9+nVeffVVunTpwkMPPcT48eM1weH21K9fn9GjR3P48GGlv4vKowaDgaysLL799ls8PDwYMmRIvn5YlkRGRrJ+/XoApZqGTqcjKCiI1q1bl1s7JEUjquTYB/eKxG4lFebaiygvXrzIt99+y7Fjx4iMjFREDsKRLrBPsiV+F2qBpnovdfToUZYsWUL16tVp0KCBDIa8SzGbzbz11lv89ddfJCUlAWhsnMLeo57DRX9QJ2QTf+fk5AAwdOhQfHx87rh94hrdunXj559/BvLsnWK9YLPZGD58uJIYUQpz7y3shbkmk0lJ/FfWwlxxnvPnzyvnhrw+6OPjg6enZ5msB9V9WP155DgrkUgqgrIW6Lq5udG5c2d++uknXnrpJY4dO6bY7sX+SqxFxBicnZ1NaGgooaGhSkJWMU+oEeOpOrmyzWbDycmJ5s2b8+6771KnTp0y+d4kEsndg6urKyNHjsTZ2Zn33nuPrKysfOOPwD65qX0Sa4F6Hw35fSy5ubmcPn2a06dPA3m2gebNm1O1alU6depE/fr1CQwMxN/fP19yFrWvyGazsW7dOinQvU+w2Ww4Ozvj4eFBenq60vfMZjOJiYls3LiRZ555RmP/KQqDwYDNZuOjjz5i3759nD17FkDzGxD2AbEXF5XnW7VqRb9+/WjVqhX16tVT+l9YWBjbt2/n+++/Jzc3V1kniLk9KSmJefPm8dVXXxXbVurv78+IESNo0qQJAwYMAKQwVyKRSCR3PyEhIaSmpmrWb8LX6OvrC1ScPVCse/38/Jg/fz7Tp08nIyNDWWMYDAYyMjL48ssvadmypVLlV3J3I/rb5cuXAW3yXrPZTLNmzTRxwhXVPmdnZx577DFOnz5NeHi40l/FXik4OJjIyEhp85FIJBKJRCKR3BIpzq1A1ELEgoS59gZuESj0+eefYzabeeGFF8rV2XGrCrpiUyIFupJbIZwb+/fvJyQkBND+Hjw9PZkwYQIPPvggrVu3JiEhgfT0dL755huOHz9OVFQUFotFE6yu0+kIDQ3lrbfeYv78+dSsWbNcBLoZGRl899135Obm8sorr5TG1yOp5BS3gu6SJUuAshXoRkRE8OmnnwJ5jk1AGatF9kM59pYv4vv+9ttv+eCDDwBtBkD7qo5qMY/BYODGjRskJSURGRkJ3DQEGgwG6tSpQ5MmTahVqxbdu3fHw8ODevXqAQVXq73V+FceAl2JRCK5Uzw8PBg6dChWq5WFCxdqBIuQN+7ZV9UVQTpCCKauzCdeF9Xm1WOZeuyLj48nOjqac+fOKa/XqVMHT09PunTpgo+PD23atMHPz0+pGioSKBmNRl588UUANmzYQHJyshTo3oWIe5aQkMA333zD7t27iYiIUOZuUe1OLepSi8XF/ubvv//m0KFDnDt3jvnz5xc4R4vj+vbtywsvvMBHH32k6e8i4CwjI4NPPvkEZ2dnBgwYgKura5l/DxaLhb///ptjx44pbRWft3v37kolFknFox7bBDqdTkkSIIIcioN6PRkbG0twcDD/+9//SElJAbRBHPbBleoquULMrW6Xul+LYw4dOsSXX37Jhx9+WOygT0nlwWw2M3XqVE3lb3sbp9lsxs3Njbp16xIYGKjMuaGhoaSlpSmJ2dRMmzaNnj17lmpb+/Tpw5AhQ/jtt9/yrQOqVavGqFGjAO6o0rSk8nHlyhUmTJigqZgr1pBlKcyFPBvBli1b2L59u+Y5sabt1q0bgYGBpXI9iUQiqeyUtUDXYrFQtWpVFi9ezE8//cTevXuVBEjqhDFiHSD+VwuFRDvVa1zxPtE+m81GnTp16NatG0899RT+/v7l8wVKJJJKj5ubG4899hiARqArxiFAY8ts2LAhFy9ezFdhVwSoqxMKAflsnGofk16vJzs7G5vNxtGjR7FarezYsQObzYaXlxdBQUHUrFmTHj16ULVqVR544AFcXFwwGo3o9XpefPFFHB0dWbFiBTdu3FDGPinQvTfR6XT4+/vTsWNHNmzYkM++s3nzZtq0aUPnzp3z+R7VdnmdTkd8fDynT5/mhx9+4OjRo8o1hH1UXE9dzc/Pz4+goCDmzJmDr68vHh4eynFmsxmj0UjTpk1p2rQpDRs25KuvvuLChQsau5PBYODq1av8888/dOrUqdh7uYCAAAICAgApzJVIJBLJvYHw3YA2WWCdOnXw8/Or8ESUoj2NGjWif//+rF+/XllLiLk4Pj6ezMxMKc69h0hLSyMhIUHZU4jYSkBJ/lwRwlx7OnfuTIcOHRRxrtr3Hx4ezj///CPFuRKJRCKRSCSSW1LxK9v7lFtVzBUODLWDRgQ1ms1mFi9ejM1m44UXXihXQ7GsoCspDUSf3bRpE9evX1eqVJhMJnx8fPj0009p2bKlEgRZs2ZNABYuXMiWLVvYvHkzf/75Zz5xBkBwcDDz589n7ty5ZS7QNRqN5ObmAvDggw/e9jUkdx/FEejGxMSUqUA3IyODP/74g9jYWCAvoFMYU/v06YO7u7t0KFYQ586dU4S5zs7OZGdna+ZBdeCFmOMBRcwgAtVFhfDs7GzCwsIICwsDYMmSJdhsNtq2bUuNGjVo164djRs3xtvbm8DAwALn2oKyDaoDNp5//vkis6JLga5EIqkoqlSpwvDhwwE0Al11QJtwktSvX5++ffuyYcMGMjMzFUekep5UOx/tg9rUCRTU2VuFwFckThCVKDw9PXF0dKR+/fq0bNmS2rVr07VrVxwdHfHz82P27NkYjUY2btxIdHS0cn4p0K38iHkwJiaG//znPxw9epTMzEylr6mDttVzuvp/s9msCS5fs2YNqampvPPOO7i5uWn6ojrA7cknnyQmJoZVq1ZhNpuVdabo+2lpaUo16X79+lG1atUy/Q5OnjzJokWLSE9P11S6aNeuHdOnT1c+s+y3FY+/vz9GoxGr1apJYnD27FnOnTtH06ZNb3kOdWAvwNatW9mxYwfbt2/X7MHtk8qJcdlgMODh4UHPnj1p2rQpHTp0IDs7m9TUVIKDg9m5cycRERHKb0Mt0N28eTPNmzdn8uTJsj/dRWRkZPDkk08SEhKijFfq4FuAnj170q1bNx5++GG8vLxwcXFRXsvMzCQ7O5u1a9dy9uxZtmzZgtVqpX79+jz88MNA6Y8x7du3Z+PGjYo4R4zbiYmJBAcH06pVq0oRECIpHRITE5k4cSLXr1/HyclJqcos5nSRHEMIc8tCmB0ZGckff/yh7LHV60w3Nzd69+4NyPlUIpHcP9yuQHf69Om0bt26SH+jWFsajUYmT57MI488wvr161m+fDk5OTmYTCZlTasWu4m1i32yG7FWEOtd4cft0KED48aNo0uXLhoxkUQikUDhAl37Cro6nY6uXbvy6aefsn//fo4ePUpSUpKS3Fq9rwI04xegiGeFDUAdayL+F/uz1NRUjhw5AsCvv/4KQP369alSpQotW7akUaNGNGnShH//+99kZGSwZ88eLl26pJxX2AmkQPfeQdy35s2bs2HDBk1CCrjpF1y7di1Go5F27dppqjqL+52dnc3p06dZvHgxFy9eJD4+XqmgC3l9VOy/RV/t168fgwYNokuXLri5uSnXFG0SSTBF33v00UfR6XS8/vrrmt+TxWIhLi6OP//8k06dOt2WT1z60SUSiURyNyPmysTERCBvvy321Z6ensq8Whnw9PSkR48erFu3TvG/i314REQEf/31F6NHj67oZkpKAavVSkJCAteuXcuXZB0oM/92SRG/oVmzZnHkyBEuXLiQz/e5bds2HnnkEfR6fYWK3CUSiUQikUgklRsZZVQBFCXMFdVwhGNGOEvEQl8t0P3qq68AKpVAV7RRCnQlt2L37t3s2rVLcQqaTCa8vLxYvHgxLVq0UN5nXwVy4MCBNGzYEC8vL9auXasJDtbpdOTm5nLgwIEyF+iqhbmff/45vXr1utOvRHKXUZhAV10BqiwFuv/88w/r1q0jLS1Nk8XfbDbj4uJC//79ZTBxBVKrVi3mzp3Lxx9/rAhZ1AFeRc2HBVXXBW21BlHdJzg4GJvNxsaNG9HpdFSrVo1GjRrh5eVFjx498PHxoUWLFnh4eCj9QX19cV4xlooKulKgK5FIKhvu7u5FCnSFg/HChQvMnj2bF154gfj4eA4dOkRUVJSS4CArK4uEhARNchdxHvukL2qBJeQJd9UJFDIyMjCbzSQkJCjBbW5ubhiNRtq3b09QUBANGjSgYcOG3Lhxg+zsbOXcUqBbeRHz37Vr13juuec4e/YskCfiEY9FXxD90L7SktjjqyuYCGHOxx9/nE8sLvYsBoOB8ePHc/36dXbu3KlJBCNsAqmpqSxcuJC0tDT69eunVHoorb4j+ujFixd56aWXSEhI0NgqatasyciRI5Xs1bK/Vg6aNGmCr68vUVFRytgoxrhffvmFF198ES8vr0KPV9urEhISWLp0KatXryYnJ0exV6kTI4g+K/q5l5cXs2bNonHjxrRs2TLf+Xv16sWUKVOYM2cOe/fuzSfQtdls/P333wwdOrTIdkoqD2azWRHmCtumWpjbu3dvevfurVSjFccILBYLrq6uuLq6MnXqVCwWC0OGDOHnn3/mgQceUPpRaY8xw4YNY9WqVYSGhir9WAQKf/311/To0YNGjRqV6jUlFUd8fDzNmzfn4MGDZGVl5avybbPZ2LZtG2vWrGHkyJE4OjqWeqKzvXv3smvXLs0eW/xW6tatS5cuXQA5n0okkvuLshboimPr1KnDjBkz6Natm1LRLzExUVNJSKxjAI3NVL22EWuYZs2a0bVrV6ZNm4arq6scuyUSSaEUt4Lu0qVLadWqFRMnTmTixImYzWauXLlCamoqe/bsISoqitDQUK5duwbc3FOpBZJq+5I6UZdAbdu0t2dduXIFq9XKyZMnlfc3adIEnU6nCDwK8mlJge69gbhfw4YNY+XKlVy8eFGTdMtisbBt2zZiYmIYOHAgw4cPx8nJCavVSnp6Ops2bSI4OJgdO3ZobOfqBMWAJuapcePGPPbYY0pyJNCKv+37kDifTqdj4MCBXLx4kS+++EJjj7XZbISEhJCeno6bm5vshxKJRCK5r1AnzAA060SbzZYv4UVloF+/fvTt25ft27cr6wax9hBrXrm2vPvR6/U4OTkpMbbqZOo2m43atWtXcAtvIuw/Li4u9OjRgwsXLijrV9FmIdiVwlyJRCKRSCQSSVHobGqrqKTMuVXFXHX2qgEDBtCkSRO++uorTfZHQBPoNn369HIX6Ko/S0REBGPGjNEIdCEvqA2gTZs2TJgwQQp0JQorVqxg/vz5mg3ua6+9xqhRowrtH+rno6Oj+e677xQhg/r3IYxLXbt2LTWBLtw0VJ05c4YPPviAw4cPA7Bo0SL69OmTr32S+4f09HT+85//sHnzZk3mX/Vjf39/pk2bdscCXTHuxsTE8OyzzxIaGqo4SdVj7ty5c5WAJknFkZGRwcaNG/MFXagRIh91NQZ1MBjkBUzYG9HFsWphthpxvYCAAKpVq8YDDzygVNpt2bIlFotFU7FKYLFY+PTTT1m3bp0muyagGMbr1avH2LFjpUBXIpGUGjExMcTGxtKmTZsix5T09HTWrVunEeiK+U89F77//vsMHjxYc2xKSgrJycmcOHGCxMRE9u3bR0JCAleuXNGMoepKuaLyhLoqgP14LK6tTqCgFvm6u7uTnZ2dL/BOHCfG/KCgIMaNGycFuhWMWFddvXqVJ554gqioKGW9Bdp+BuDq6orFYsHJyQmdTqdUa4b8exRxHpvNxqhRo5g3b57yWkH3+uDBg3zzzTdKELo6yFLM8y4uLjz22GMMHTqUtm3bFnm+khIWFsYzzzxDTEyM5rPodDoGDRrE//3f/1WarMaSPDH4nDlz2Lx5c77+V6tWLV544QUefvhhZf0mXlPvlVNSUli6dCmHDh1SEq6p152Q9zsQY1hQUBAPPfQQgwcPpkGDBsq51OJz9d+5ubnMmjWLnTt35msnwLfffku3bt3K8NuSlAZms5np06ezf/9+jTDXZDIBMHv2bPr06UPdunWBooN/7MethIQEfHx8SnxccRD9cM2aNbz77rtkZ2crY7xIaPTss8/y9NNPV6qAJcmd8c8//7Bs2TK2bNmiqUoPN++76Lfz589n5MiRwJ0HrInj9+/fz/PPP6+x74tx1Nvbm6+++oqWLVvK/iaRSO5b1OPfihUr8gl0IS+ZodFopEuXLkybNo02bdqU+PwA169f58CBA/z9998EBwcTExOj2ZsXhK+vL7Vr12bYsGG0a9dOs+aVSCSSW1GYr0idsAVg3rx5SmIj+/10eno6cXFxREREEBwcTFJSEsHBwWRmZpKcnKy5XmHVdaHw5LFifapOPKd+jzqkSC2+rFu3LmPHjpUC3bsYcd9//fVX3n33XVJSUpR7bG8HrVevnrJvzsnJITIyUpMcTm3fsRfpGo1Gnn32WTp37qwk4ipJfxHz+cWLF3nyySe5fv26JrGG0Whkw4YNco6WSCQSyX3LvHnzWLlypTI3i33ugw8+yLJlyzCZTDg6OlZ0M5W1wWeffcbixYsVO63Y9wcGBvLbb7/h6OgohZD3AFeuXOGxxx5TfJiQ5+9eu3YtDzzwQAW3UEtISAjjx4/XxHWIfrh06VLat29fkc2TSCQSiUQikVRyZEm9cqQkwtzhw4fz9ttvk5SURHZ2NkuXLtU4a9SVoiq6gm5gYKCsoCspEnXwg9lsRq/Xs2/fPiBPkFC7dm3atWsHFF4lQv18zZo1mTp1KnAzYKM8K+jOmjWLd955h0mTJklhrkSpoGuz2diyZYsSkCwMS6VVQVf08aysLGbNmqUIc0XfEw7PAQMG0Lt371L9jJLb41ZZ0dVOaScnJzp37szff/+NyWTSBDqoM5/bB4qJx/bVddXiiZiYGK5evUpISIiS0CAoKIgqVarQpUsX/Pz8aNq0KYGBgRiNRoxGIzNnzsTJyYmVK1eSmJioGMNlBV2JRFIWREREMGjQICZMmECbNm2KHEsKq6ArKteLcfaVV15Br9czaNAgAEwmE56ennh6ehIYGAjAhAkTcHR0JCwsjIsXL3L+/HmCg4PJyMggPDxcM78CSpCR2LMJ1EkWRBU2daXUjIyMAsdIcZx9BV2dTsfgwYMLTKAgKVvE/YiMjGT8+PHEx8cXGjDZokULWrRowejRo3F3d8fd3R2z2cxff/3FuXPnWL58uWZ+Vp/farWyevVqAgICeOqppwrt8506dSIrK4ucnByOHTumqaCrXhtu2LCB06dPM2nSJIYOHaqczz6QsyjUfTQxMZEjR47w7rvvKt+BOJfZbKZZs2a8+OKLUphbydDr9ej1egYMGMDmzZs14jO9Xk9UVBSLFy8mKSmJPn36KNWWxX0/deoUp0+fZunSpVy9elU5r7piMmiTxbm6utKtWzdeeuklfH19cXZ21vQl+/4n1rRGo5H333+ff/3rX5w/f15Zw4rf219//UW3bt2kUK0SY7FYeO2119i/f7+mqo4QOH788ccMGDBAeb+9CNwe+3FQCHOLOk7dP5KSkvD29i5W20W/bNOmDW5ubmRmZir9XPT1bdu2MXny5Hx9WnL3Ie5f8+bNmTBhAoBGoGuxWDR29rlz5wIwcuRITUXHkiLmzVOnTvHiiy9qhLlijeni4sLIkSOpX78+gBzvJBLJfcvtVtB9+umnadWqVbHOL7Barfj6+jJ06FCGDh1KdHQ0UVFRXLlyhZCQEOCmAC4jI4NatWpRs2ZNvL296dWrFy4uLri7uyvnkmsEiURSXArzFYk9iFiLvvnmm+j1ekaMGKFJ0GYwGHB1daVBgwY0aNCAhx56CIC4uDgsFgtHjx7l8uXLhIaGcubMGXJzc0lNTQW0CQLFtdTCXXsfo9r/pB7j1O+3r6D7yy+/oNPpGDp0KFWqVCmz71FSNog9cocOHejWrRs7duxQ5mAxP4s+EhkZqemXkOeXVCf1U/eXatWq0aBBA2bPnq2IcqHkyZDEexs0aIC3tzexsbEaYbBer+fGjRt3/oVIJBKJRHKXIeZUNzc3IM8PI9aBYn6sDMJcyFtXPvbYY6xatYqUlBTNmtVkMmEwGKQw9x7AarWSk5Oj+I3E2k30z/j4+EolzrXZbDRr1oz27dtz+PBhJZZD+EQjIyOlOFcikUgkEolEUiRSnFtOFCXMFUHkYuMhhLkA3t7ejBo1CoPBwHfffacR9qidNRUt0K1bt64U6EoKRB0QnpGRgZubGzk5OSQlJQF5grJ+/fqVOJNpjRo1KkSg26JFC7755hs8PDwAGYQhuSkUEpXPhEBXOLpLQ6Ar+rbVamXq1Kn5kjsI6tevz4ABA6hZs2bpfkDJbVOUQFdNTk4OHTt2ZOHChfzzzz/s2bOHxMREDh06REZGBpmZmQDKPVcHwIvn1f+Lx8JhLgRF4vXw8HAAjh8/DoCHhwfu7u4EBATQrl07GjZsyNChQ4mLi+PAgQNERUUB2vHu8uXLrFixApvNJrOiSySS2yYiIoLx48crThm49dqqMIGu/R5p9uzZ6HQ6Hn30URwdHfOd12AwoNPpaNasGc2aNVOunZWVRUhICMnJyRw6dIhr165x5coVoqOjlfFbvZexryghKOg59edT/68W6C5fvpzMzEzGjRuH0Wi88y9ZUizE+i0iIoKxY8eSmJio2VuoBYmjR49m9OjRSr9RI6rt9enThw8//JALFy6QlZWlBKqJ+dlms/Hnn3/StWvXAs8j+kfv3r3Jzc3FYDBw5MiRfAJdYWcICwvj1Vdf5cSJE/Tt25euXbsq64TCqqJA3n5NPH/o0CG2b9/O5s2bSUlJySfM9ff358MPP6RWrVql+v1LSo+ePXvy2GOPsXHjRiW5C9zcy165coXFixfz888/M3DgQNzd3UlLS+P69ets376d3NxccnJy8gnIIC9gQr2H79WrF8OGDdNc/1ZrQTFmurq6MmnSJObNm6eI48S1Tp8+LYW5lRibzcaPP/7I7t27leAEdeXRr7/+mh49emiOud09QmHHqfvHJ598wtGjR/nPf/5DUFBQsc/dsGFDpkyZwrvvvpsvC/q5c+f45ptveP755+X+5i5HPf+1aNGiXAS6Yt48d+4c//73v8nIyNAk+xDna9GiBQMGDNAIvSQSieR+paQC3YMHD2I0Gpk2bVqJAjnFeC7Gan9/f2rWrEmHDh2UvVxh2FfWlWsEiURSEoryFantmW+88QaAItAVY48Yv9S2nRo1agAwePBg5TopKSkkJCRw6NAhrl+/zsGDB0lOTiY2NlZZ9wKF+pjUdszCKueK94skYRcvXuTzzz+nXr16dOvWrRS/NUl5UqtWLSZNmkR0dDSnT59WEq6r7ZlF+SDVSdcEbdq0YeTIkXTr1o3q1atr9la3Y/PJzc3FaDTi5+dHaGiopn9mZ2cTHR2t/C3naYlEIpHcL4g5tXbt2vleMxgMpKenc+PGDby8vMq7aUXi4uKCg4NDvoSvqampXL9+Xca93QPo9Xp8fX3x8fEhKSkpX+KgjIyMCm6hFp1Oh9FopG7duhw6dEh5XqxxExISALnWlEgkEolEIpEUjhTnlgO3qphbmDDXZDLh6OiIv7+/Enx+twl0TSaT4tiRAt37D7Uw9//+7/84deoUy5Ytw9vbWwmqEEEXjRo1AkqeJbWiBLpCmAsyCENyk4IEuqVRQVf0aZvNxqRJkwgODtbMIWIcNRqNPP744/Tt2xeQxqDKxK0q6Aree+89vLy8GDp0KJ07dwZuVoBKT0/n+PHjXLhwgStXrnDy5EksFgtJSUmaio7inAVlPgdtNUfIq65mNpvJzMwkNTWV6OhoDh8+DNysUJ6bm6tk0ixI2HPlyhWlgq4U6EokkpISGRmpiCABjh07pklCUBRFVdBV75FeeuklAB599NF8Y5j9NcTa1dXVlS5dugB5e5a4uDiuXbvGtWvX2LdvH4mJiYSEhGA2m/MJi8U8bT8W2gexqZ9T7wvDw8NJSkqSwtxypCBhrkg4BdpKoc888wzTp09X7o96b6GeKzt16sTbb7/N4sWL2b17N1lZWfn6REhICAcOHChQnKvur/369cPDwwM3Nzd27dqlqXQi+ppo4y+//MJff/1F48aNmTRpEnXq1FGqRRc2P9tsNnbt2sXJkydZunSpRqQk1hRmsxkfHx++/fZb6tatWyrfu6RscHR0pHfv3hw/fpyoqChlnBEVvdPT00lNTeWrr77KNy6J9aFYY9pXy3VwcKBKlSq8+OKLDBgwQAnmKEmVZnE+gAceeECxbYnKKgaDgaSkJBITE/H19b3j70NS+hw9epTt27eTlpYGoBHmfv755/To0aNM9wTqcXfJkiWKPfSTTz5h5syZNGzYsNjnatOmDTVr1iQmJkYJNBb9PiQkhNTUVDw8POQe5y6nOAJdq9WqWUPerkBXLcwdN24c6enpyppCPV/7+voyZcoUmjRpUqafXSKRSIqDGLsyMzPR6XS4uLhUSDtKItDNyclh7969uLq68u9//1vxLxUXsR61t5/aV5JUP5aJYyQSyZ1S3Aq6b7zxBjabrcC1aEH7EnX1W09PTzw9PZWE2FOnTsVqtRIWFkZERASXLl0iODiYlJQUTRVUyIv5sPcxqRHPqaujAnTp0kUKc+8BWrZsyezZs/nss884deqUpo9CwfOj+p+wnzZr1owuXbowY8YMHBwclPff6Vwq7LHif7E2EG0RFQPl/l0ikUgk9yNiHlTHIVksFmJiYjhw4ACDBg2qyOblw9/fnyZNmvD3338r87nJZMJkMpGamirFufcIbm5ueHh4KMJWyFuriX5ZUh9jWSHaIfz2wpYvbEbnz58H0CQ5kkgkEolEIpFI1Ehxbhlzq4q5wslhL8y1WCw4Ojoq5ylKoKvO7F8ZBbqFVdDV6XT0799fGsfvUdQb57lz57J+/XoAZs6cyfvvv4+fnx9nz55Fp9Ph5OSkBHjfTr+tCIGuRFIQpV1BVy3MnThxYj5hrnDK22w2xowZw5QpUwApzK2MFBV0AXnC2ldffRWTyaRUaqhSpQre3t7UqVNHOVdcXBwZGRkcOXJEyYAeHR3N9evXgTwRrgha0+v1SqC5OnDCZrMpjnLRDoPBoPQfkWEaUM4FaALhQAp0JRLJ7REZGcmoUaNITk5WkvqIQODirtGKW0G3KIGumoKcKOK91atXp0aNGrRr144hQ4YANyuIp6SkcOTIES5dusTVq1c5e/YsVquVrKwszXnEmK+eu9VtUT8/ePBgpc1yPC17ChPmCqGZuuLDSy+9xFNPPaU5Xt1f1fMsQKNGjXj22WdJT0/nwIEDSqCkupLEd999R58+fahXr16+tqn7SJcuXahatSre3t6sW7dOqV4hPoO6+l9iYiL79+/n2LFjGI1GunXrho+PD4GBgVSvXp2cnBzS09PJzc0lJCSEy5cvEx4ernxmvV6vsVXYbDYaNWrEJ598Qv369Uv5DkhKE9FfBg4cSHh4ON98840mQYv9Ok6NutK3SJIgxi0hzu7fvz8DBw6kbdu2mmvejhPaarXSpEkT6tWrx6VLl5RKLFarlcTERJKSkqQ4t5KyceNGQkJCAO0YOXfuXB555BGg7AJh1bacr776ik8++URpx59//onFYmH27NnFFui2bNmSzp07s27dunztPnDgADt27GD48OFyLr4HKI8KukUJc0Gb7OOVV15RKkzL9Z5EIqlIhM368uXLzJ07l+HDh9O/f/9KL9A1GAxkZ2fzxx9/4OHhweTJk/H397/t69qPw+q/5RgtkUhKk+IKdEuyFrVPRKheXzo7O6PX6+nQoQMdOnQAUEQPx44dIyEhgf379xMVFUV0dDTx8fGapEWgtROJdbW6ouqQIUN47733gJIn4ZZUHkS/adeuHXPmzOHXX39ly5YtJCQkKPdf+BAhr+KZ6LMuLi64ubnx5JNP0qVLFxo3bgzk9YnSmE/FuVJTUzV+S1HRVwiBJRKJRCK5H2nevDk+Pj4kJyfni/9Riwor01rNyclJE8ck1hUFJbyW3H2IfYWfnx+XLl1S1pSif547dw4oOEajIhDtCAgIUGLsIC+hm4jlryztlUgkEolEIpFUPqR1sgwRTu3CKuaKrPwFCXMLWsTfzQJdk8mUT6Cbk5ODo6Mjffr0Kbc2SsoP0Ydfe+01NmzYoFSHOHz4MC+88AIZGRnAzf6elZVFenr6HV1PCnQllYXCKuiWVKBbHGGuCEYaPnw4r732GlD5jKmSPEoSdKHT6RgxYgSOjo6KwU/c8xo1agAo4pinnnoKm81GeHg4Z86c4cqVKxw8eJDs7GwiIiI0hmt15nNxXkDjwFZnu1a/bh8wbF9Bd82aNZjNZkaNGoW7u3tZfIUSieQeQCQGmDdvHsnJyTg5OZGbm4uDgwPXr18nMjJSqfJZHEqjgm5R2FelEA5CnU6niClbt24NQE5ODjExMdy4cYMDBw4QHx/P4cOHSUxMVNa69sI4sUYW64TBgwfz/vvvK9eSc3rZcquKuWrR2Zw5c5g8eTJQMhFNw4YNeeGFFzh58iSpqan59vC5ublERERQr169As+r7q/NmjVj3rx51KtXj08++UQRMtpX0RV9LDc3l6ysLDZv3qycTwR02iP2b+J/sSbw9PSkZcuWvPnmmwQEBJTwG5aUN8JZrNfrefHFF8nMzGTVqlXk5ubmSxCnrg6m/tu+eq67uzuNGzfmtddeo06dOso6r6A1Y0kQ45uzs3O+QAsxNkoqH5s3b2b16tWAdowcM2YMAwYMKNNrFyXMFX1o9+7dAMUS6Ao75fjx4zly5AhXr15Vfg/is61du5aOHTtSu3btMvtckvKjuBV0b0egWxJh7ttvv82jjz4KSGGuRCKpWMSYFhkZyYQJE0hISCAjIwMnJyd69eqFq6trhbSrIIHuggULMJlMGjGYwWAgKyuLX3/9lYCAAB5//HGlUpBEIpFUZspCoKtGvb60f7/VasXR0RFHR0e6d+8OwLBhwwC4evUqV65c4dq1axw8eJCUlBROnjxJdna2xk8l7E8Wi4XBgwdLYe49grrfNGvWjNq1azNo0CA+/fRTrl27RkREhEa4Le519erVqV69OqNGjeKBBx5QRLlQ+n1Cr9dz5coVTp48qbHTGwwG3Nzc5N5dIpFIJPc1Pj4+VKlShYSEBE2le6vVyurVqxk5cmSl8fOp4+EAjW/T3d29yCIXkrsHvV6Ps7MzHTp0UCokq18LDQ1l8+bNiq28smA0GjVttRfnSiQSiUQikUgkhSHFuWWIqC4yduxYTp8+ramYKxwsxRXmCu4mge6qVasYM2aMpoKu+Oxms5mIiAiuX79OdnY2zs7O5dZGSfmxbt06NmzYAKCpPhUWFqYEnxkMBhwcHEhNTQVu/RsoCinQvfe4W4MUhUBXp9OxefNmTXICtUD3q6++wmazMWDAAKpWraocX1xhrhDxiDlE9ufKT2FBF/ZVHt944w0ARowYoRHRFPR7cHBwwGAw0KJFC1q0aAHcFIjl5uZy/PhxEhMTOXbsGBcvXiQuLo6YmBglKFh9TnVVR7UYVy28UP8m1QIzBwcHwsPDWb58OY888ogU50okkkLR6XQ4OjoSFBTE/v37MZlMimA3OTmZ2NjYEolzoewFumoKmmfF/Gs0Gqlbty5169alTZs2AKSmppKVlcXp06cJCwvjypUrHDt2DKvVSnx8vHI8IKtMlDNFVczV6XQa0dmrr77KE088oTmuuNhsNlq0aMH//d//8eqrr2I2mzVi78zMTH799Vd69epVaH9UP28wGJgyZQp169bl999/58CBA2RkZGiqnIo+pW6rur+r/xdiTrVwU/w+mjVrxoABAxg6dKisYHoXIYS1BoOB1157jSpVqrB582YuX75cYJIWcYwQJIrfAEC/fv3o1asXAwYMyGe3udN9mtlsJjs7m6SkJM16U/RZ9XpVUjmIiYnh999/B/IEsTqdjjp16vDQQw/h7e1dZtcuSpirrgJgsViKLdAVtqdatWoRGBjI1atX82Vuv3DhAleuXKF27dpybr5HKIsKuiUR5s6bN09Zt8o+JZFIKhIxdkVGRjJmzBgSExMxGo2EhYWxePFigEol0LVYLLz77rvKvkW9h0lNTeWrr76iXr16dOvW7Y58TBKJRFJeFNdXdLsC3cIoKtFMQECAItgYNWoUBoOB8PBwUlNTOXLkCOfPn+fy5cucO3cOs9lM3759ZZLBexgPDw9atmzJ119/TVxcHMeOHSM1NZWoqCh0Oh1169alSpUqtGrViho1ahR4/0uzT4h+evnyZSAvYZhOp8NsNuPt7V1pBEcSiUQikZQUsZayj9EpyfHu7u489NBD/PDDD0rMsvD7pKWl8dtvvzFt2rRKITAU1e5FW4T4MTc3F71eL/f0lYzb7ZeCWrVqKY/FeQQnTpyoNOJc8fnc3NxwcXFR4vHVCY3hzmKbJRKJRCKRSCT3NlKcW8b89NNPnD59GsirPHO7wlzB3SLQDQwMzFdBVwQ3VatWjaFDh9KjRw8pzL2H6dq1K0OHDmXbtm1kZ2crfTM3N1d5j9VqJTs7my1bttCrV6873rxKge69g7gvycnJ2Gw2vLy8KrpJJcLd3Z3//ve/AIUKdGNjYzUVdKtWrYrJZMLR0bFAYa44Ti3MlY7vu4/iZkV/4403sNlstwy6EOOmMBRarVacnJxwcnKiZ8+eQF7m8/j4eMLDw4mNjWX37t0kJSURFhZGTk6ORgAh1iuir6kNpPbZKw0Gg5J84ZVXXpHOb4lEUiRirLKf1w0GAzqdjsTExNs6b3kKdO2xr64LWueNh4cHNWrUoE+fPgAkJSWRlZXFkSNHuH79OsHBwdSpU0cJtpNzetlTlDAXtCKaOxHmQt582apVK+rUqaNUZlRXd0hISChx2/v06UPLli05f/487733HrGxsaSlpWmqVwi7A+Ql1SisjcJRDzd/Tz169ODpp58mICAAJyenEn1mScUj9h0Gg4HnnnuOFi1asHfvXlasWKH0C7UAXaw1TSYTzs7O9O3bl86dOytrSCh9Z7ODgwMpKSkkJycDWud+jRo1ZLWTSoS4N1FRURw7dgzIs3HabDYefvhhpeJSWVAcYS6g2XPv3r0bnU7HSy+9VKRA12az4eHhwTPPPENwcDA5OTnKfG4wGEhLS+Ozzz6jbdu2FSZOkpQ+pVlBt6TC3FGjRgFyvSeRSCoeg8HApUuXmDhxorIfEgGH4eHhlU6gO3HiRCwWC++9955mjy8SAicmJjJ37lx++eUXqlevLsdZiURyV1DWFXSLi/1eX/h9ABo2bIhOp6Ndu3bATcFEREQECQkJdO7cGZBr24qkJN/97dwn4ZeuWbMmNWvWLPXzFxfRJ202G8uWLSMjIwO9Xq8kgjebzbRu3Rqj0Sj7o0QikUjuOsTcFR0dzYEDBxgwYADu7u4l8mGLua9Vq1ZKbJkQ+wqf0L59+xg3bhxeXl6VRlyYlZWltFOsc6tVq4aLi4uc0ysB4h5kZWXh6up627EVffr0oXHjxpw7d045VtjWly9fTq9evejWrVtZfIQSIdoWHx+v6Zvi+UaNGgH5908SiUQikUgkEolAinPLmIEDBxIVFcXWrVtJTEzUVD68HWGu4G4R6IoKuiLgGcDLy4vHH3+cMWPG3NKIL7m78fPzY9asWcBNcaLJZFIC3OwrN4WHh3Px4kUaNGhwxyIJKdC9+xH348qVK4wePZrBgwfz9NNPl2klnpJi308L6reFCXTVQlu1QPeRRx7Bx8cHq9XKpEmTpDD3HqYssqKrjZj2CGN2jRo1qFGjBnCzKi9AeHg4CQkJnDx5ktDQUK5fv86ZM2cAlGQKQswjAvWE0VUtZFq0aJEiPLtbq15LJJLyo3Xr1krwjJjbbDYbp06dYuDAgbc1jhQm0LUfW8tCoGuPWtgD2ozHYj0jRG/jxo3Dzc1N8z5J2VGYMFfMb6UpzBXodDrq1atH06ZNiYyMzCeYDQsLIz4+Hh8fn1teQ+0IrF69OtWrV6d58+YcOnSIHTt2sGvXLrKyshTBmhACiyzUYj2qdsgDODs74+DgwMSJE2ndujUPPfTQbX1WSeVB7Dv0ej09e/akZ8+eDBgwgNOnT7N7924yMjJISkrCbDZTr149/Pz8aN++Pe3bt6dOnTr5EsCUprNZ9MN9+/Zpgo9Ff3V0dFT6rKTi0el0ZGdn8+2335Kenq5JOti4cWP+/e9/A2UzhxUlzFXvS0Q71QLdXbt2ARQp0BXH16tXj06dOrFnzx5lHhB78KtXr3Lw4EEefvhhOU/fQxRXoFvU/jw3Nxej0ZhPmCv2yOokCFKYK5FIKhsWi4UPP/yQhIQEnJycMJlMyvhUWQW6kydPJjMzk88//7zAhFwxMTG89dZbvP/++7i7u1dIeyUSiaSklESgq9PpGDFiRJkIdNWo7aTisdhrOTo6EhQURFBQECDXtuWN/fctkgrFxcURGxuLg4MDqampmEwmateujaOjI97e3nh5eSnHlaTyWUnubVn2A9HOtWvXcurUKcW2CSh7rocffrjM2yGRSCQSSWmj9lk+/vjjGI1GcnNzGTJkSIkFugA9e/akV69e7N69G8iLEwI4efIkH330EfPnz1fm0oqM6UlISOD8+fNKMmNBhw4d8PDwqLB2SW6ijtscOXIk//nPfxg0aFCJYytEsuBmzZpx7tw5xX+j3uusWrWKBg0a4O/vX8afqnikpaUB5Ftv+vn5VVibJBKJRCKRSCR3BzLSrQwR1T6mTZuGzWbjjz/+UCri3IkwV3C3CHRFBd1hw4aRmZnJqFGjGD16tBTm3idUr169QIGuCBZXB6Rv27aNZ599tlREElKge/eiNj5OnDiRlJQUfvrpJ1xdXZk0aVKlEOiK/pSUlERCQgKNGjUqtL+WpIKui4sLPXr0YObMmRphrjojsBTm3juUhUC3MOzfL8ZevV6vBFKILOc5OTlcvnyZtLQ09u3bR2xsLCdOnCA2NlYJwhfjtBTmSiSSkiLGBy8vL2UcUY8ZqampmveVlIqsoFsUBVXXFQhhrtpBKikbihLmQulWzC3ourVq1QLyBLbicW5urlKlqjio+5HVaqVq1ar079+f/v37c+LECaKjo9m6dStRUVFcu3aNtLQ05XNB3lrWxcWFpk2bUr16dYYMGUKtWrWUrL8g5/TyRr3GUifmEWOX+j3Fxb5PCfHt5MmTgZtZya1WqzIOCaxW621drzioK/AcOHAAm82m+Q3qdDr69++Ps7Oz7IOViKysLKKjoxUBrMhqXrt2baX/VIQwVz1u2++zhUDXZrMxe/bsIgW6Xl5e9OrViz179ijjsfj93bhxgz/++IOHH35YztOVEHXSCXHv1c8XRXEEuhaLJV8FXZvNxqhRozAajYSFhTFhwgQpzJVIJHcdBoOBN954g4yMDA4dOoTBYNAkAqqsAt1nn32WlJQUli1bli+ZAsCpU6f466+/GDx4sFxLSiSSu4biCnTfeOMNgHIR6Noj1tb246pc25YP6gQacHO+u3z5Mlu3biU2NpakpCTi4+M1+xA3NzdsNhu1atUiICCADh060KFDB+rWrYu7u7tyL++W+fLq1av8+eefZGRkACjrFavVSocOHWjbtm0Ft1AikUgkkpKh9lmOGzeOjIwMMjIyWL58OVarlWHDhpVYoOvk5ESzZs3YvXu3Mleqq9Ju3bqV5s2bM3r06Aqf/3NycpQYTshbZ4piA3fLGuVeRN03J02aRFpaGrNnz8ZoNNK3b98SxVbodDqMRiP/+te/+O233zT+cGHLOXbsGMeOHWPQoEEVaj8XPoWwsDAgzx5lMBjw8PDggQceqJB2SSQSiUQikUjuHqQ4twwRGxFfX1+mT58O3BQJDhky5I6FuYKiBLpqZ40Q6L744ovlunFVC3R/++03Nm7cyGOPPSaFufcZtxLoin76+eef07BhQ/r161cq/VQKdO8+xPcfGRmpCCacnZ3Jzs5WqstWtEBXjK1Xr15l0qRJNG/enGeeeYYmTZoUekxxBbqffPIJixcvJiIiQlbMvU8oSVZ0uDOBrhqdTpdvnBXndHJyUvpzhw4dAEhJSeHGjRucP3+e48ePExMTw7Fjx8jNzeWtt96SwlyJRFIiLBYLHh4eeHt7c+PGDWVMslgsXL58maysLJycnG57nKusAt1bIcfPsqUwYW5BIprSFOZCXmbdqlWrAiiiNri5Z3ZycsJoNN7WuUXbRDvbtGlDmzZt6NOnD3q9nujoaK5fv052djbZ2dnk5ubi7u5OjRo1MBqNBAQEFFqhVPbJskWMOeLeqQMQ1KKwnJwc5R4Vtn4rCepjXFxclP6pfq2ohAJ3ijjn+vXr2bFjB5DXj8VvsEGDBmV2fcntsX37ds6fPw/k2TuNRiNjxozBxcWl1K9XlDBX2HSEMNfHxwdXV1ciIyOV19UCXVEloDCBrvgtjhgxgp07dyqicciza27atImHHnqI/v37l/pnlZQM+/WasK+kp6eTmpqKl5cXTk5O+Y4rbLwsrkBXvYZ88803qVKlCu3bt9cIc8UYJoW5EonkbsHf35/33nuP2bNnExwcrPgqK3sF3aeeeoqYmBh27NihJA0Rc3dCQgJ//PEHgwcPlmtJiURyV3E3CHQlFYder+fGjRscOnSIbdu2ceDAAdLT05XXxRyuTv4oErJdvHiR8PBw/vrrLxwcHOjWrRudO3dm+PDhODs7K/3sTmKWygr1/u+XX35R9vdqe6jNZqNt27aVIrm3RCKRSCTFRR0bN27cOBISEjAajZhMJi5fvszKlSsBSiTQFe+ZPn06u3fvJjQ0NN+cmZ6ezpYtWwgKCqrwxBa//fYb169fV/b0VquVatWqMWTIEED6hyqKguI2XVxcyMrK4oUXXuCzzz4rsUDXZrPRrFkzBg8ezO+//648J/w8ycnJfPrpp7Rr1w5/f/8KW5uKa548eRLIS2RsNpsJCAioNJV9JRKJRCKRSCSVFynOLWPUAt2pU6fSunVrxbFSWhuJwgS69s6aiq6gGxAQwLRp0yqlYV9S9hQm0BVZzUU/XbJkCdWqVaN9+/alct3iCnTfffdd5syZQ+3atUvlupLbQxh4hg4dSmZmJo6OjkowuugfUHECXTFuX716lfHjxxMXF0dycjJubm5MnDiRpk2bAgULFIsr0AWU34asmHt/UFECXXsKOpe4hru7O56entStW5e+ffsCEBsbi9VqVRJuVLSoTSKR3D0YDAZq1KhBYGAgSUlJQJ5zIzo6mpycnDsW+hQm0LVPYlTZBLqSsqEihbmAsp4LCQkB0FSiN5lMODo63vF17I8X56xTpw6BgYEFHqPu77Lvlx/iuxbfd05ODklJSZw4cYLz588THx+vBE3k5uaSk5NDvXr1cHd3p1mzZjRq1IigoCBq1aqVT5xdHOzfp77v5bW/uHr1Krt27VKubbValcfdu3fnkUceKZd2SG6N6K9ir6oWv+r1ery8vEr9mrcS5orHJpMJf39/1qxZg9VqZdKkSVy+fFmzlyqOQFf0Pb1eT4sWLThw4IBynM1mU+aLS5culfpnlZQccb9Onz7NxYsX2bZtG4mJiSQmJnL9+nV8fX1xd3enQYMGdO3alVatWhEUFKSpBlnQOUtaQXfmzJlKMjkhzLXZbFKYK5FI7jpq1KjBBx98oBHoqu2OlU2gC+Dr68vw4cO5dOkSFy9exGazaSoB/fnnn6xbt06xCUgkEsmtsF+rVdTaTQp0JQWRkpJCaGgo77//PnFxcSQlJSn7GrWfWSS/LMjWp05wtWfPHnbv3s22bdvo0KEDU6dOxd3dvcI+X2Go27906VK+/fZbQGsbsNlsdOzYkeeeey7fMRKJRCKRVGb0ej1xcXFK7I0Q5op57HYEumItIJJqfvDBB6SkpGjs31arlcOHD/Prr7/i5+dX7sV11J/h4sWLynPqRJweHh7l2iaJFhG3OWLECFJTU3F0dFRs4CaT6bYEujqdDkdHR7p3787vv/+uSa5qtVqVAikzZszgu+++w93dvdz3OOJz/PPPP0RGRipxm6KdDz/8MFB68f4SiUQikUgkknsTKc4tB8RGpEaNGqUuzBUUJdBVBw5VpEBX/b/k/qSoCrrCiRIeHs6yZctwd3cvshJpSbiVQNdisbBjxw6ysrJYtGgRzs7OpXJdScmx2Wzs27ePzMxM5W+bzaYZxypKoKsW5o4dO5br16/j5OREZmYmmzdvxmAwMHbsWJo1a1ao4elWAl2BFObefxQWdGEvIitrga494tz2lTMA/Pz8lPdJh7dEIikJNpsNi8WiCfoRAUJZWVmkpaUpFUbvhLu1gq6kdKloYa7oTzk5OVy/fl3Tt4SzuW3btnh5eZXqvF6cyqfq12SfLx9Ef7DZbFy7do3du3ezb98+Tp8+zY0bNwo9LioqCoBt27YBEBAQQIMGDRg8eDBt2rTRZGu+G/YKO3fuZOfOnZqKLuL30KxZs0rf/vsJm82GyWRSxK1i32owGAgKCuKBBx4o1euVVJi7atUqfHx8APj000+ZMWMGly5duq0KugaDgcmTJ7NlyxYl+EIkUWjcuDFPPvlkqX5WScnJysri0qVLLF26lP3792vGTbE/Fkmkzp8/z9atW6lbty4dOnTg5ZdfLjKw63YEurm5ucpjKcyVSCR3M4UJdMW4WJkEuoIuXbrQvn17Ll68mC8Bps1m4+zZs4C0WUokklsj1mrXr1/nwoULdO7cWVm7VUTgtRToStScOHGC7du3s2bNGtLT05V9qpjb1CJVyNvXCISfHW5W/FKLdE+cOMGJEyfYuXMns2bNokWLFtSoUUM5rqLnT3H95cuXs2DBAiC/MNff359hw4bh4OBQKdoskUgkEklJ8Pb2pn79+ly6dElJtKFe092OQFesXTt16kTDhg05duyYMveL1y0WC6tXr6Z69epMmTKlXGMkRdu3b9/O5s2bgZt2XdG+MWPGKPZ+ScWQk5PDV199RWpqKqCtHnu7Al3x+qOPPsrhw4dZvXo1FotFsT2Jfc7Jkyf5z3/+w//+9z9cXFzKdY8j2n/gwAHi4uKAvL7p4OBAp06dABn7LpFIJBKJRCIpGmmhLyfsNyBlsVAXAt0nn3wSFxcXJXAIUDYKcDO47bPPPtMY5iWS8qJ69erMnDmTRx99FEdHR41jU6/XYzKZ2LdvH8uXL+fChQuldl0h0B03bhyA8vtQO3HGjBkjhbkVjDDGzJkzR2PkABRjDMCSJUv48ccflWp7ZU1BwlxHR0dyc3MxGAzk5uayfv16lixZQmJiYpHnEgLdRx99VHNu+zFZCnPvP0TQxZw5c5R5XDiU1f1/7ty5rFmzBsgLQC4vCut70uEtkUhKioODA82bNwfy9kYWi4XU1FQliLY0EALdl19+WQleU19PjK0vvfSS4gS0D2KS3L2IdVNkZCTjxo3LJ8xVO3xffvnlUhfmQt4cuW7dOk6fPq0JlhPXbtmypRL0Lrm30el0pKam8vbbb/Pyyy/z9ttvs3fvXm7cuIGDgwM6nQ4HBweNuFqv1yuBl2LMioqKYvfu3bzxxhv861//4scff+TUqVNA+VW/LSmi7+/cuZP3339fEbIJp7zZbKZRo0ZMmzZNjsOVCNGf0tLSlPsi9ifitdK6V0UJc8V4aS/M9fPzU15r1KgRn3zyCfXr19fM90KoA7B7924+/PDDAtcaFosFT09PBg8ejNFoVK7bvHlzVq9ejZOTk3ItSfkTHx/P559/zuuvv87GjRtJTk4GUMZOdfID9XgZERHBmjVrmDJlCn/88QdpaWmFXkM99giB7sCBAxXboXoNCTf7lrrCshTmSiSSuxkh0O3QoYOS1FQEBgMage7u3buV5JoVgc1mw2g0MmPGDAICApTxV4zjVquVzZs3ExMTI22WEomkSNQJ3YYNG8bkyZN57bXX2Lp1K1lZWZp4jvLcoxbkKyrInvnGG2+wdu1aoPx9RZKyZ+PGjcyfP58VK1aQnp6Og4ODco/V9kWxJxJxD8KOJJ4XfwvEfl6859KlS8ydO5cvvvhCsS2Vpl2mJP3S/prfffcd//t/9s47PKqii8NvOgmBFHoN0ot0kKoRBKX3Frp0pChFUEFsVDGAggrSQxEpiiLCRxFQmtQA0jsBQiAEAiEhmy3fHz5zuXeTQBLSgPM+Dw/Jze7c2d3ZmTlnzu+c8eMBozBX9b1WrVq8/vrr2jVBEARBeFawWCy4uLjw66+/UqlSJcxmM46OjoZEWQ4ODppA95dffiEqKirJa3ShQoUYMWKEIe7OPu5o1qxZrFixIt3PYkJCQvjll18AtL44ODhQokQJKlSokK59EeLj5uZG8+bNady4sVbwRvm34+LicHFxAf4rDLVp0ybgyXtHvX+pR48eVKlSBTDuE9U+76+//uKbb74hNjY23W2c4OBgTRCvvjMALVu2pHz58unWD0EQBEEQBOHZRSJDnjMSEugqx7vewBaBrpCR5MmTJ55AVzmYVMW0P/74g2XLlnH+/PlUva+9QFcF5s+cOZM33ngj1e4lpBxvb2/atm0bz1EIGSPQTUyYqyqjqMM+q9VK5cqVyZEjxxPbTEygq1DfBxHmvngkJtAFMo1AVxAE4WlRa6fKfKtEDWqNU2KL1EIEui8ujo6OXL9+ndatWxMeHo6rq6u2/9d/xqNHj6Z3795YrdY02W+dOnWKDRs2AMbDPAcHB4oUKaLtCWXMPd/cuHGDNWvW0KVLF5YuXUpwcDCAwWcD/9mp+r2d1WrVBJGqygmgVWQOCwvjyy+/ZMyYMfzwww9aO5B5xpSym/bs2cOQIUM0Ya4SflitVnx9fenfvz8eHh7adSFzYDKZePjwobZ2qs8mNcW5T6qYqwJvExLmqnUcEhfo6m3ubdu2MWvWLB4+fGjog/p77dq1te9XxYoVWbZsmSbM1d9LSD+uX7/Oe++9x5IlSzh16pQhwFztI+HR2q4CzVQQm5OTE0ePHmXatGmsWrXqsZXKkyrQVajHqv2FCHMFQXiWSUigq/c76gW627ZtyzCBrpr/fXx8aNWqFY6OjoZEl2rOzkgBsSAImR+9MLdLly6Eh4fj5OTEL7/8wpgxYwgICGDt2rWcPHkSeGQH6W3utCQxga69qEIEus8nK1as4LPPPuPEiRNaomg19tQ4UGfJ6rxa2SvKj6Suq3+q6i48smPUc+7cucOvv/7KJ598wpYtW4Cn84+HhoZy4MAB4L9xmZTvjd4XdObMGSZNmsTUqVMBozBXvcaSJUsyaNAgvL29U9RHQRAEQchIVDVbFxcXlixZYhDoqjOTpxHo2mw2qlSpwieffAKQaPzw5MmT+fHHH9P89SosFgu7d+/W9gnKjrfZbNStW5eyZcumW1+E+KhxVatWLbp06ULDhg3jCXTVuIXkCXTV8wsXLkzjxo21OBH759y/f5/ff/+dOXPmpKtANzIyks2bN2tnB/p+Va9eXc4sBUEQBEEQhCQh0SHPIYlV0LU/rPn+++9FoCtkGHny5GH48OHxBLqqokl0dDS//fZbmgl0u3Xrpl2bNWsWDRs2BDJP8PKLTvbs2Wnfvr1BoJtQJfC0Fug+TpgLxgo+o0aN0qqtJWUcJSbQlYq5GUNCn1lGBTEkNSu6CHQFQXhWUXOuOnTRV4UEOH78OECqVqcTge6Lic1m46+//tI+37i4OG28qcA0gJ07dwJps56aTCb+/PNPjhw5AjwKNFN7vqJFi1KgQAFAKjw8zxw7dowvv/ySadOmcfbsWZycnLSxqJ/r1Fyor3CSUJUTNU6VDWGxWDh79izTpk3j3XffZceOHcTGxhqyUWckDg4O7Nixg169emkVJvWVJ11cXKhdu7aWLdte/CZkLJGRkdy9e1cL7IX/5ks1t6aGnaramDVrVrIq5iYkli1ZsiTTp083CHTVd0E9fvfu3dy6dSvBvlSpUoVGjRpRtmxZgoKCRJibwVy4cIEePXpw6NAhLUGB+qdP7qL8KIBBSK7WeyW8WLp0KevWrSMqKirRez5JoKsf8/r+tGjRQhPmqj2HIAjCs0ZiAl39HuDs2bPMnj07QwW6aq6vWrUqVqvVsEZYLBYiIyM5ceJEhvRNEITMjzpvu3LlCp07dyY8PFwLMAeIjY3l1KlTfPbZZ/Tu3ZtZs2axd+9eIH3t1aQmcx07dqycFT1HLFiwgE8//VQT36jPVNkpyk7OmTMnlSpVon///nz11VcsWLCAX375hVWrVrFw4UI+++wzWrduTdWqVYFHNpO9vaS+D7GxsZw8eZLBgwezdu1a7THJ5datW6xYsYKPP/6Yzz//XBMGwyN/lkqQqL+mRLeLFi1i0qRJLF68GIgvzDWbzeTNm5fAwEDNpyoIgiAIzyLK/52QQFe//qdEoKvW8DfffJO3334bQGtb/az2kp9//jlLlizBZDKl2WtV6/2xY8eYOXMm9+/fx9nZWRPmVqlShXfeeQeQuM2MRD+uqlWrRvfu3Q0CXbWnS2kFXXU+2Lp1a2rWrAk8sq/0vv5bt26xdu1a5s2bl+YCXdXfQ4cOsWbNGkwmk2Fsvvnmm7Rq1SpN7i0IgiAIgiA8fzjYxKJ5bgkNDWXNmjXMnz+fmJgYzahXgcDKcT9w4ECGDh0qgcBChnDz5k2mTZvG+vXriYuL0w5eVBbVrFmz0rJlS7p06UKxYsVS7b6hoaF8//331K5dm0aNGgGPqvkImYd79+6xatUqAgMDDVnvVaUlNY/179+fHj164Ovrm2r3flLFXP39R44cSZ8+fYDki2ijoqL45JNPWL9+vRY0bDabRZibjui/+1u3biUmJoZmzZpp1xOqjpMePHjwgHXr1jFlyhRtHbc/gAYYP3487dq1A2SsCILwbHHp0iU6depEZGSkNufabDZq1qzJokWL0uSeUVFRrFmzhqlTp2oHjwnNrYGBgYZqprJHfHa5d+8ea9euZdmyZVy+fNkg6IFHn3v16tUJCgrS9mJPK8JS42b79u0MGzaMmJiYeLZOrly5WLZsGYULF5Zx9hyzb98+xo0bx9WrV7XgB71YTAUpJiUhgb6KqBrDauzoK5GULl2ahg0b0r17d7Jly/ZU+9no6GhMJpNWiSQpY1W/J7179y5btmzh448/1g7e4+LiDL4pPz8/pk6dSoUKFVLURyFtCQ0NpXHjxphMJsO4y5cvH6tWrSJHjhypMn/t27ePvn37Ehsbawh+SI4w177fXbp04fr164aK01arlSpVqrBs2bJ4/Vbj++jRo5QuXRpXV1cR5mYgly9fJiAggIiICEPlWv186efnh7u7O9mzZyc2NpZLly4RHR1tEMfq5y2r1UqRIkUYPXo09erVe6wNrX/esWPHWLp0KevXr9dE3wlVf/riiy9o3769di+xzwVBeFYJCwtj5MiR7N+/35BMUs1rVquVEiVKMGDAAOrVq4eHh0e699FqtfLgwQOaNWvGrVu3DAJii8XC5MmTJYBSEIR4qD2efq+pP/tT+z9lr6sgcB8fHypWrEjnzp0pXrw4+fPn19pM6zOkpJ4VyV702ScoKIiJEycCj8Sq6mcl3smZMydt27alfv36lC5d+omfs8lkYt++fezcuZMNGzYQFham/U1/D/194L8EwV26dElW/2NjY1m3bh1Tp04lMjIS+C+RRps2bahZs2aiYtqLFy9y6tQplixZwtGjRw2JuuzHure3N8uWLUvVuBFBEARByEiU/zkuLo5u3boRHBxs8I/rExC+9NJLdO7cmdatW+Pp6Zmk85qTJ0/y/fffawJKvV9TH/f23nvv0apVK/LmzQuk3vm4auf8+fP06dOH0NBQQ+xfvnz5GDJkCC1btpTErZkE/Wd/4MABgoKC2Lx5s3aeqcamOu8D+Oabb3jzzTfjPd8eZafcuXOHvn378u+//xr2fPqkw3ny5KF58+YMGjQId3f3VLe7VF9OnTpF//79CQsLM4zNEiVK8Nlnn1GlShWxrwRBEARBEIQkIeLcZJDQBj+zB9AmJNBNSNgmAl0hIwkLC2P69OmJCnQ9PDxo1apVqgt0Y2NjcXNzAzL/d/lFJiGBbkKJBlJToPukirn6+z6NMFcRFRXFp59+yu+//w5Aq1atmDx58lO1KSQN/Xd/0aJF2vvesGFDqlSpQtu2bcmePXuCj08PRKArCMLzzLVr12jTpo0WqKPEZcWKFeO3335Ls/uKQPfFQX1u9+/fZ82aNfz4448Gga5aMx0dHVNVoKv2kgcPHqRv375ER0cbRJVWqxVPT08GDx5Mjx49DNmAheeLv/76i5EjR3Lv3j3DHKJ+1ldwdnNzo3DhwpQoUYKsWbOSJ08eoqKiiIiI4OrVq5w5cwaz2czDhw+1YAz9/KUOxdXv2bNnp3r16owfPx4fH58UHVrfu3eP3377jUuXLtGoUSOqVaum/S2hPaf9XLl79262bt3K8uXL4/VXzbdZsmRh5syZvPrqq8nqm5B+xMXF0aRJE0JDQzWfIoCHhwerVq1KNT/N7du3CQoKYt26dZqg1sXFBZPJlGxhrvIZdO3alcOHD2vfGfV//fr1+e67757YJ7GtMo7r16/Tq1cvLl26pPlj1Lzh6elJ3bp1ef3116lTpw5eXl64uroSGxvLzZs3OXz4ML/++iu7du3S2tN/jlarlUqVKhEUFISrq2uyBLpLlizhjz/+0PqTUCCSiCIEQXheeBYEugBNmjThwoUL2u/q/GDatGk0adIkQ/okCELm5t69e3Ts2JGLFy/i5uZmqBJmb9eqs2pVrcnb2xtvb2/69etHmTJlKFOmTKLPTU1EoPv8s3r1asaOHQskLEr18vKiXbt2vPHGG1SpUkV7XmL+HvvrVquV8PBwZs2axaFDhzh37ly8e+nvBzBq1Ch69eoFPH58q7/t3r2bDz74gJs3b+Ls7IzNZsNiseDu7o6HhweNGjUiT548FC5cGJPJxNmzZwkNDWXr1q04ODgQHR2t+baUQB4eiTQKFCjADz/8IMJcQRAE4blDL9Dt3r07hw8f1gS6ak+nzpOKFClC586dadOmTZIFurt27WL+/Pns3r0bwODX1McPd+jQgRYtWmhnQaklhjx58iTvvPOOQZir+tykSRPGjBmDj4/PU99HSD2eJNBV+8eUCHTVuAoLCyMgIIDr168bYtr1lXK9vLzw9/fn008/xcPDI9VtrvPnz9O3b994ffD09KRnz5706tUrw/xdgiAIgiAIwrOHiHOTiDIK4uLiWLBgAU2aNMHHx8dg5GbWgO3Q0FBWr17NggULHntYIwJdISN5UgXdtBLoCs8GiQl0wZjJLzUEuokJc+2rO0HqCHMVUVFRvPvuu7i5uWlBwnJwnrbo1+3FixczadIkwJgpsnDhwrRr147KlStTvXp17bnpWU1XBLqCIDyv2Gw2OnfuzNGjR7UDRXUIuG7dOl566aU0u7cIdF8cniTQ1VcdTQ2BrtojnD59mi5duhAVFRVPQOns7Iy/vz8jRoygaNGiafGyhUzAX3/9Rb9+/YCEq50o6tSpQ506dahXrx65cuXC09MzXls2m43r169z+vRp/vjjD44ePcqVK1eAR4Iz+4BFRdWqVZk5cya+vr7JGtNxcXH8+eefTJ48mdDQUPLly8c777xDgwYNHhskERMTw71791i8eDFbt27lypUriQpzAb777jvq16+fpD4J6Y8S4TRv3pwLFy4YhOFOTk5MnjyZxo0bP7X9oebiiIgIgoKC+OWXX7RqPvnz52f58uXkzZs3WXaY1WqlcePG2pyvDzQaMmQIgwYNkrU9kxIeHs6IESP4559/4lXMzZEjB+PGjaNy5crkzp3b8Dz7cThlyhTWrVtHeHg4gLb2Ozg4YLFY6NatG2PGjHlif54k0E2o0oSIIgRBeF7IzAJdlbimefPm3Lhxw/A3m80m4lxBEB5L//792bFjh0HooOwGhb3vSKFs7vz581OvXj1atmxJ0aJFDfZ8WuwBEzorSiiZsexFnz3++usvPv/8c65evWrwISmRTo4cOZg4cSJVq1bVxlly7VllV8XGxnLo0CF+/vln1q1bB8T3LenH0yeffEJAQMAT7xkSEkJAQADh4eEG0Y0SWOgFwHr09rp63fZVAh0dHSlVqhTTpk1L0zMDQRAEQchI0kKgq7++detW5s6dS3BwMJB4Bd1KlSrRuHFjevTokWA7T0L/2Nu3b/PPP/8wefJkLXmH3tdbtmxZvvnmGwoWLJji901IO9Kygq4aB4mJY/UCXYAKFSowZcoUChcurJ0RJXc/rH+8yWTiyJEjvP/++9y4cUO7t9q31qhRgy+//JI8efIk/40TBEEQBEEQXlhEnJsE9EZht27dOHz4MC+99BIFCxakX79+FC1alBw5cmiPz4yBXYlV0AWjc33AgAEMHTpUDmmEDOFJAt2sWbPSsmVLEei+oCQk0E2oEvjTCHQfJ8wFo0MyNYW5Cn01ZzkwT1v0a3VQUBATJ04E0JzbyploNptxcXHBYrHQuXNnKlSoQIsWLRJsJy1JatCFCHQFQXjWeOedd/jzzz+1YBsnJyccHR358ccfefnll9P03iLQfXFIrwq6ai956tQpunbtSlRUlCHJi7Jr/Pz8+PTTT6lVq1Yav3Iho9i7dy/vvPOOoWoyGOcWf39/6tWrR6dOnbTnqfGmRA/6caMXJJ44cYI9e/Ywd+5coqKi4lVwVPOUGt8lSpRg4cKF5MyZ84niRvX8Y8eOMW7cOE6ePGk4BK9evTplypShefPmeHl54evri81m49SpU9y+fZtVq1Zx8+ZNzp49q7WpDyxVr8fZ2ZkZM2bQoEEDw32FzIUaLwMHDmTbtm3xkg20bNmSKVOmpMq99ALdZcuWMXfuXLJly8aaNWuSXDFX387Ro0fp2bMnJpPJUPEXYO7cuVKtOZMSGxvLggULmDt3LtHR0QabN1euXCxYsIASJUpoj09o7tDPc3PmzGHOnDnExMQY1nybzUaZMmWYOnUqxYoVe+IclNQKuiLQFQTheSQzC3RPnTpFmzZttL0zPBIYLVq0yJBsURAEAR7tyw4fPszQoUO5deuW5pf08PDglVdeISIighs3bnDz5k3DHs5euKielz9/fgoUKMA777xDwYIFKVSoULz7pRYi0H3+uHTpEoGBgWzbtk37LAGDHTR37lxKly791Peyt3tmzJjB3LlzNXtG+X/sx9PkyZNp1apVgm2oa4sXL+brr78mJibGsEfQ+6iUTabsNX1Van27+ms5c+akZs2aDBs2jAIFCjz1eyAIgiAImZm0Fuj+73//Y+nSpezfvx94JNDVn0UpGjRoQM+ePSlevDje3t6G9uDR+ZM+GaL+7GnPnj3873//Y8OGDURGRsYT5ubNm5dFixZRpEiRNHgnhdQiLSvoqjH977//MmTIEENlZT1qzOTPn5/u3btTu3ZtSpYsGa+dpLwG+K9a7t9//828efMMiWXUfYoVK8b3339P4cKFU/COCYIgCIIgCC8yIs59AvqKuXqjVzmiXV1dqVq1Kv7+/rRq1Yps2bJph9OZLagwIYFuQpUnRaArZCRhYWFMnz5dKugKCZKcCrrdu3c3JE54EokJc81mc7wAy7QQ5urJjGvI88qiRYuYPHkygEHwbX9YrBdUVKlShRYtWlC1alVDtbu0rqYrFXQFQXieUHPmuHHjWLlypbbnU/PZ559/TocOHdJ8HhOB7otDWlfQTahirtpLwqPx5OzszFdffUWjRo3S42ULGcDx48cZOXIkFy9eNMwpKqACYMSIEbzxxhvaXjKpc539fvPw4cOsW7eOTZs2GQ6Q9egPk5csWYKvr+8T960RERG88847BAcHa/1S3w1FtmzZiI2NJXv27Dg5OREWFmY4fFf3VqJcfUVfLy8vvvzyS/z9/QGZV58FlN2kT6ZhtVopXrw43333nSH4/GlQY+H27dusXbuW5s2bkzt37hTZWosXL2bSpEna7ypwKXv27CxevDhVApuF1EN99ufPn2f06NH8+++/hoDwHDlysGDBAkqVKpWkOVP/GLXf1FeDUkcietFCUvsIiVfQFVGEIAjPK5lNoKv2BqtWreKzzz7TrsF/83XBggVZvXq1IYBYEARBz61btxgwYADHjx83nP81atSIjh07cu/ePVasWMGePXu059jb3OrsWtlJ7u7uFCpUiFatWlGvXj38/PzSZP+X1LMi2YtmbtRnsmbNGsaPH6+JWvXJg3PmzMnSpUspUqRIqn6Gettm5cqVzJ8/n5CQEO0e9gJdZ2dnvvnmG+rXr59om+Hh4WzatIlly5Zx/vx5bb+gXqs9+krV+gq76prNZqNs2bI0adKE1q1bJ+vMXxAEQRCeZdJaoPv333+zYsUKtm7dChhj7VTb6jwnX758FCxYkN69e5M/f36DIDKhfttsNrZv386RI0cICgrCarUazt9Vuzlz5mTx4sUS9/mMkJYCXcWZM2cYMGCAoYKuHrUv9fDwIFeuXPTq1YsaNWoYxN1Puk9sbCwbNmxg9erVnDhxwpBgWbXv4+PD0qVLZWwKgiAIgiAIKULEuY8hoYq5+gom+sMNgIoVK1K8eHH69etHjhw58PT01P6WWQINpYKu8CzwpAq6ItB9sUkLga6ao0NCQujevTuhoaEZJswV0o+jR4/SoUMH4L9kG3ohgf26rQ6j1Tzk7u6Oq6srffv2pUyZMtSpU0d7bFqOC6mgKwjC88Yvv/zChx9+aBA02Gw2+vXrx/Dhw9OlDwkJdBOaW0Wg++yTkgq6ixcv1n5PTKCbmDBXVczVj6NJkybRunVrQ3+E54fr168TGBjIpk2btM8fjMLcadOm0aRJE+05KRkH+ufcvXuXY8eOMX78eC5fvmwQxCrUGKxatSqzZs3Cx8fnsXvE8ePHs3TpUq3v+gQ2+iomZrPZ8J1RgZf2rka1h86SJQslSpRgxIgR1KxZM8WvX0g/1OezZ88e+vbtCxiFL2CsoJOa91T/J1eYa7VaiY6O5r333mPnzp3x9hivv/46s2fPTrX+CqmLEtLqqzV4enoyfvx4GjVqlCz7Vo2dhw8f0qNHD44cOaKNA7Xfq1u3LjNnzsTNzS1J7UoFXUEQXmSSKtAdOHAgr7/+epoJdPVzcUBAAIcPHzbsUS0WC1WrVuX777/H09NT5l1BEBJly5YtDBkyJF5Qef/+/Rk2bBjwX9KfgwcPsmnTJu15j7O7FaVKldLmRB8fH3x9fbW/pYYdLBV0nw+uXr1Ku3btuHv3brx4CG9vb2bNmkW1atXSJDmwfjz88ccfzJ8/n5MnTxpEP/Boba1YsSLjxo2jXLly8dpSY/rBgwecPHmSWbNmsXfvXu3vCQks9H4mvSBZ/d6kSRMGDx5MgQIFcHNzS9XXLgiCIAiZnbQW6B45coTffvuNZcuWAfHXarUeq/2Ak5MT2bNnp0qVKvj6+lKyZEk8PT0xm83ExMQQGxvLsWPHCAkJ4dy5c9p5mKOjo3b+qtoqVaoUM2bM4KWXXkrT91BIXdJSoKv+FhYWRp8+fTh79qz2N33iGH0SYIASJUpQqlQp6tevT9GiRcmRIwc5c+bEZDLh6urKgwcPCAsLIzIyknXr1nH58mV2796tPV8/7m02G4UKFWL27NkSiywIgiAIgiCkGBHnPoG4uDg6deqkZU3VG4sK+8OWnDlzUr16dZo0aYK/vz+urq5A5gk4TKyCrv1hjQh0hYxEKugKjyMtBLr379/H39+f6Oho3N3defjwIWCc40WY+/zRrVs39u/fr63PKogW0D53+4p6+kNiR0dH3NzcaNCgAW+99RZVq1bFx8dHaz8txokIdAVByAyklm2zfft2BgwYoP2uDhNbtWplqHaX1ohA98UhtQW6Sa2YC8aASBk/zxfq8/z555/56quviIiIiFftBOCHH37gtddeS5M+3Lp1i3fffZdDhw4Z9q4KNb7r1avHl19+SbZs2RIdhxs2bOCXX35hz549xMXFGeZE/Z5Y37a9r0y1q6/2Uq9ePbp06aJVLJXvwbOD2Wymffv2nDx5Mp64sUiRIsyePduQoTyjuXjxIp06dSIyMjLeWBw0aBBDhgwRGykTcv78eQYOHEhISIgWuGU2m3nrrbcYM2YMuXPnTnabKlhnwYIFBAYGGgKFbDYb+fPnZ/Xq1QaxxJMQga4gCC8ymUWgC7BkyRImT54MPKqKnpLK6IIgvLiEhoYyatQoDhw4YNh/gjEJ0f3799m7dy8LFizg8uXLREREaPtKfTIgIJ7AMHfu3Pj5+dG1a1cqV66coj1tYkgF3Wcbk8lEYGAgixcvjud3cXd3591336Vr166JJgtMDfTj4c8//2TevHkEBwfHE+iqPrVv357+/fsn6dz922+/5fDhw+zcuVO7pr4v+nNYJbhQ47djx45UqlQpVZOACYIgCMKzyOMEuvpzmpQKdCMiIti2bRtjx441JOVQj1P/6xO4JgX9PhnQ+uvl5UWFChUYN24chQoVeur3R0h/kiLQdXBwMCQsTqpAV42ZiIgIJk6cyL59+7h58yYQXzyuj9dTBbZcXFzImTMnPj4+xMbG4u7uTnR0NNeuXQMgOjracLal/Fnq95dffpkpU6bg5+eXZu+fIAiCIAiC8Pwjnvcn8OOPP8YT5tr/02fncXZ2Jjw8nA0bNjBkyBCGDBnCzJkzuX//vmZ06A3YjCBfvny0bduW3r174+7urhnzNpvNEGw8e/Zsvvnmm3iZXwUhPciTJw/Dhg2jadOmuLi4YLFYDEZ1dHQ0a9euZdmyZZw/fz6juyukM9mzZ6d9+/aMGDHCIJRQVXXUPDZnzhyCgoK4ffv2E9vMli0bnTt3BiAmJgYnJycR5j7HKMddly5dyJ49u8EB6O3tTZs2bXj99dcpWLBgPOEBYKgMFhMTw7p16xgzZgzdunXj999/5/jx4wCGwLTUImvWrDRv3pzRo0cb1nH1utTPY8eOZfXq1Vo/ZD0XBOFpiYuL02wa/byp5tSUzDNlypTBy8tLW8eVjXX8+HGioqJSp+NJwNPTk7Zt2/L+++9rwVDKRtLPrSNGjGD9+vVAwmI0IfOjPrds2bLRtm1bAgIC8PPz08aeWjNVUNj+/fvp0aNHvIQw8PiKufaizM8//9wQCCmCxOcHveB7wYIFiQpzAwMDee2119Jk3rBYLOTKlYsffviBhg0bakEP+nupn/ft28eCBQuIjY2NNw7VYxo3bsyAAQPo2LGjNu5Vm/Z2kL0QWPnG1HfKbDZTokQJPvroIwYPHqwJc9VjhcyPWudVtWM1FtT127dvs2vXrmQF6KQlsbGxLFy4kMjISEMQs9lsxt3dXatcLTZ95uPUqVNcuXJF87er+bN+/fopFjGohBv16tUzJM+A/4J6bt68yZkzZ5LVpn4PWL58ebp160aTJk20ICEl7NDvIT/++GNWrVql9Unsc0EQnlXy5MnDV199RfXq1bWgS/285ujoyNmzZ/n+++/Zvn070dHRadKPs2fPsn37diwWi7YHUfOvn58fpUqVSpP7CoLwfJEvXz5q1aql+f+Un8fBwYHff/+dK1euAP+dHzZs2JDp06czffp0atWqRbZs2QAM+z9lA6u4EScnJ27evMn+/ft59913GT58OIGBgURERGjzo5o/U2JLJXRWpM6tZC+aeVGftclk4tChQwAGUTX8V1GuTp06aSrMBQwC3Pr169OrVy9Kly4dryqZo6MjMTExrF+/XrOf7CvhKtT1QYMGMXXqVGbOnEnXrl0pW7asZtfpx3uxYsWoWbMmo0ePZvny5Xz66aeaMFfGqiAIgvAio85mXFxcCAoKonLlypogUa3Vat956dIlli9fzs8//0xUVFSiZ9j6MxlfX1/atm3L8uXLef3118mVK5fh/FL5z+1tbuUHsP9f3y8l1FSx1mXLlqVfv35MnDhRhLnPMPpxVa1aNbp3707Dhg01X7iyRdS4BRg6dCibNm2K93x71Jjx9fXl008/pX///lSvXh3472xHjUFl6+jPJB0cHHj48CHXrl3j2LFjnDlzhiNHjnD+/Hmio6OJjY01jFW9MLdQoUK0bt2aadOmiTBXEARBEARBeGqkcu4T2LFjB8OHDycmJsbghHZ3dydHjhyEhIQAaFnxFfbVdEuWLEm1atVo3bo15cuX165nZJWQ5FTQfffddyVoUsgQbt68ybRp0xKtoJs1a1ZatmwpFXRfUNKigu63337LzJkzDddEmPv8cu3aNbp168b169cNY6ZFixb06tWLqKgo5s+fz99//20YW/pDZzUfKWdhlixZyJo1K+3atePVV1+lcuXK2oE6pN7an9Ss6FJBVxCE1ODChQt89NFHeHl5UbFiRXx8fKhSpQq+vr7kzJkz0XntSfOOyWSiWbNmXLlyxXAgU6RIEVavXo2np2eavJ7ESKiCbkJz67Rp0zRxj/Bs8jQVdOPi4nB0dExUmAvGvejnn39Ohw4dAFmLn2fGjx/P0qVLtXlD70MaMmQIgwYNStP7q/3ogwcPGD9+PBs3biQmJgZ4FHCh5tiSJUsyfPhwXn/99Xjt6Peq9+/fZ//+/UyZMoXbt28TFRVlqHKiXqc+4ELvCytfvjxlypRh1KhR6T6fC6lPcHAwnTt3NlTQUZ990aJFWbx4Mbly5TJkxU9PVL9u377NwIEDOXr0aLwqv2+++SZffvklrq6uMhdnIpSg4aOPPuKXX34xzC9FixYlKCgIX1/fFNvSakwOGDCA7du3G/z4NpuNzz77jI4dOya73SdV0FV7SKmgKwjC80hSK+j269eP+vXrkzVr1qe+p74y0OTJk1m8eDFgrOxjs9no1q0bY8aMeer7CYLwfKPmlKioKHr37s2RI0cM9q27uztTp06lQYMGhgSp6rnbtm1j586drFy5EsDgR9SLJSB+Nd0SJUpQrFgxevfuTZEiRTShb0pJ6KwooZgPqSqeuVi0aBGTJ0/Wxl1GVoDX2zbr1q3jq6++IiwszGA7qbPQUqVKsWzZssf6eRKy3UwmE1FRUVy/fh0XFxdtnBYqVIgsWbKIbSQIgiAIifC4Crp6X31yKugq1N9v3brFiRMnmDt3LocPH46XOORJCWXUfgbQzlXhv+TY9erVY8CAARQsWBA3N7dUe1+EjCMtK+iqMW02m7l9+zaLFy9m7dq1REZGxjubtC+QZX8Wap9c2N4uq1mzJp07d6ZmzZpkz549jd4tQRAEQRAE4UVCxLlJQFVH0m/gs2XLRp8+fbh48SJr167VHqs/7NAbEcpIdXJyokWLFlSuXJn27dsbKvNkhMM5IYGuynilDxx65513GDx4sDjFhQxBBLrC47h37x4rV65k2rRpWkC4fs7VC3R79OiBr6/vE9v8/vvv+frrrwEYNWoUvXr1AiRw8nlDOeFWr17Nxx9/bHAUAgwePJjBgwcD8Ouvv3Lw4EEt0ALiJ+aAR1nH1fYqb968FCtWjP79+5M/f34KFiyoPTY1xpMIdAVBSA+uXLlCly5duHXrluG6ChwrVqwYJUuWJH/+/NSoUQNPT08tqCYh1DxkMplwdHRkwIAB7Ny503CY4ubmRlBQkCGxUXqRVIHuhAkTaNu2bbr3T0g9UiLQXbRokXYYLcJcQY2ha9eu8d5773Hs2DFtP6j2la+88gofffSRoWJsWqEEaNHR0Xz++eesX7/eIJbVC4br169PYGAg7u7uTxybN27cYO/evWzcuJGTJ08SFhaW4OOcnJzw8PDg5Zdf5tVXX6Vhw4bkz59fey8yQrD5IpOac44a6+PGjdMqLimUb6Zu3brMnj1bCwzKqPnuq6++Yt68eQCG+RwkGD2z06VLFw4ePGgIrClXrhw//vgjrq6uT91+YGAgc+fOjSfaHjFiBH379k1Rm0kR6D5OFCF7A0EQnmUSEujq50Wr1UqxYsV4++23eeutt8iWLVuKEy3o58t58+bx1VdfAcYkijabjYoVKzJnzhy8vb0zNDmyIAjPDiaTicmTJ7N8+XJtTlF7Nz8/P5YvX25I/Gtv2/7999/s27ePlStXEhkZCWCoKq4PDLe/5u7uTp06dahduzbt2rXD0dExxfbU4wS6Li4umEwmAIKCgnjllVee6j0Tng61Po0ZM4Y1a9bEO2usXr06c+fOxc3NLV3XMv29Fi9ezKRJkwDi+cYdHBwYMmQIvXv3TrKfRz+m9fex3zeIbSQIgiAICaPOq00mE927dyc4ONjge9Qn+njppZfo3LkzrVu3TpJA157ff/+d4OBg7RwgNjZW+5var+pjiy0Wi6G4gYeHBwDdu3enUqVKCSaJFZ59HifQVXZPSgW69uzcuZPg4GAWL15MbGysFmNitVpxcXHRxqP9HlNfaEN/VlqzZk2qVavGgAEDDEmYBEEQBEEQBOFpEXHuY1AO4J07dzJ69Gju3LmjGQ6Ojo60bNmSjz76iN9++42NGzdy6NAhzGazoXqE/u21z75Tp04dTaSbJ0+eDHudjxPo6gOMP/nkEwICAjKsn8KLzZMEuh4eHrRp04ZOnTpRvHjxjO6ukM7cu3ePjRs38umnn8YLAkqpQDcwMBAPDw8GDhwIyKHg88ypU6cYMWIE58+f1w6WlXN76tSpNG7cWHvsrl27WLlyJcHBwYSFhRmCevUOP/tqut7e3nh7e9OrVy8qVKhgEGc87eG6CHQFQUhLLl++TOfOnbl9+7Z2uKHQZ75VODs7Y7PZKFWqFLly5aJo0aKUL1+ebNmyUaFCBdzd3eOJK1RSDHv7ac6cOfj7+6ftC0yExAS6SqgZFxdH06ZNCQwMzJD+CalHcgW61apVY+nSpVy9epVWrVqJMFcAYNmyZXzxxRdA/Mpdo0eP5u233063vugr6H7wwQds3rzZsD9U+1SAd999V7N3EsN+r3rhwgWuXLlCaGgo58+fx8XFBXd3d1xcXChWrBilS5cmV65cuLu7J9qGkH7ExsYSGRnJ+fPnMZvNWK1W/Pz88PDwIHfu3NrjkvoZrV27ljFjxhj8MY6Ojtoa3rNnT0aOHJlhiQh37NjBZ599xvXr1+NVR3399df5+uuv0z3AWUgaDx8+pGXLltoarPaEderUYf78+U/Vtvq8161bx/vvvx/Pp9iuXTvGjx+f4nFhL9BdunSplhwhsQq6skcQBOF5ISkVdP38/AgICKBFixZPVQkdYOnSpYwfPx6IL8zNkycPAwYMoF27dri4uKTOCxQE4YXgypUrdOjQgbt372q2jLOzMy4uLrz33nt07dpVs3sU9nNZSEgIQUFBBAcHc+zYsXhnR/bPsQ8Qr1GjBqVKlaJPnz54eXmlqKpYQmdFyjdhtVpp0qQJ06ZNS+nbJKQiN27coEWLFty7d88QW2S1WunQoQOfffZZhtis+jV8ypQpLFy4EMBQkQ/+s9PmzZsXrxqZIAiCIAhph8lk0s7Y33rrLUJCQjT/d2oIdO2T0Bw9epTbt2/z888/Ex4ezvHjx7WEL3ocHBzIkiUL5cqVI0+ePLRu3Zq8efMaYjfF//l8Yi/Q/emnn/j999/j/S2lAl37cXPp0iX++ecfNm3axMWLF7l+/XqS+1qkSBGKFi1K8+bNqVy5Mnnz5k1SHwRBEARBEAQhOUjql8egNvfly5cnd+7c3L59WwuisVgsHDhwgGPHjtG5c2fq1KnDiRMnmDFjBnfu3OHevXvaxl050pVw18HBAYvFwq5du9i1axcrVqygZcuW1KhRg9dee027f3pVFcmXL59W8Ukv0NVnbi1TpgytW7dO874IQmLkzp2b4cOHA8QT6KrKQEuXLsVkMjF69GiyZs2awT0W0gM1T2bPnh2LxRKviqnNZtMENWazmTlz5gAkSaA7YsQI7WdxFD7flC5dmtdee43z589rmSVVAMaWLVt45ZVXtPFSp04dypUrx61bt5g5cyanT5/m8uXLWhCFep5K5qGyAkZGRnL37l3GjRtH0aJFqVatGt26dSN37tx4eXlpfUmJ4y9r1qw0b94cIF5WdIvFov08duxYAC0Du4xrQRCexJUrVwzCXHVoolBznZrvlO1isVg4efIkJ06cYMeOHdrfCxcujJubG5UrV6ZkyZIUK1aMqlWr4u3tbQhUU/PWzZs3tfZUkG96HY54enpqNpIS6Lq6umI2m4mLi6N169Za9QDh2UaNz2zZsmmfuRLowqO1Hf4bmwcOHKBt27ZcvnxZhLkCVquV2NhYduzYAcQXCFSvXl0T5qbXHKaEYFmzZmXSpEmEhoby77//an1TQcZms5l169ZRs2ZNKleunGh79hVMihYtStGiRR/bB70gUq0TQvpy8OBBTpw4wcqVK7l79y63bt3S/ubu7o6zszNNmjShZMmSBAQEaOv4k+arVq1asWfPHn799VftsSrQG2DTpk0UKFCAgIAAQ4BxehAeHs6ff/5JaGgo8GgcqqD36tWra8FLMiYzF2azmYcPHxIVFQUYg8lUEix1PSWo55UoUQI3Nzfi4uK0tuE/EcPTtq/Gevny5enatStAPIGu3j81btw4ADp06CD2uSAIzzR58uThq6++Mgh09fOao6Mjly9fZtGiRdy4cYPu3buTP3/+JM179vuIRYsWMXnyZMC471brxiuvvEKjRo1EmCsIQrKwWq0ULFiQVq1asWTJEgAtlsNsNrN161a6dOkST4Son5+sViuFChXi/fffJzo6msWLF7Nnzx6Cg4O1xO36PS6gXVf2yj///KMFmtetW5cGDRoYqowlZd5M6KxI+a1atGjBl19+meS2hLTl7t27xMXFGXyJjo6OeHh40KpVqwwTveoTD/fv35+LFy+yfft2QwEDq9XKrl27WLNmDe3atRP7WhAEQRDSAZvNpvm2N23apJ1hAoY9plqXL168yPLlywGSLNBV5/zqcRUqVACgbt26uLi4cPnyZaKjo4mIiODhw4fYbDayZs1Krly5cHNzo1ChQom2LXvP5xN94Ytq1arx999/GxKxq5/j4uI0u2To0KGaQPdJe179uLHZbBQpUoQiRYrQsWNHrly5wpkzZzh//jwnT57k/v37XL16FWdnZ7JmzYqDgwNlypShcOHCFC5cmJo1a+Ls7EyWLFkMbcpeVhAEQRAEQUhNpHLuE1CHE3/++ScjRowgJibGEJz7+uuvM3v2bO3xoaGh7N+/n59//pm9e/dq1+0DNFWAmjpwUUE6rVq1omLFirRt21YzqtPLELCvoOvm5kZsbCwvv/wyy5Ytw83NTTOoBCGjCAsLY/r06QaBrqpeBvDdd99Rv379DO6lkB7o58a1a9fywQcfABiqkujnzpRW0BWeb9Q6f/nyZQYNGsS5c+cMlfI8PDyYM2cO1atXj5c0w2az8e+//7JlyxZWrVpFVFQUJpNJW/PtK0CqMaj2EQUKFCBPnjy88847FClShIIFCxraTu7an9QKup988gkBAQFP87YJgvACcPnyZdq2bUtUVJQmStVXW4RHc5W9SakPNtNn1bd/voODA8WKFSNPnjzs3r07Xpvt27fnk08+iWd/6NtLa1tJVdCdNm0asbGxABLM9pyS1Aq6KkATEGGuAPxX7aRly5ZERkYaKuOYzWbefvttRo4cqQUwpidq7xoWFka3bt24cuVKvEqiTk5OvPfee/Tt2zdVxqocZGc8ISEhrF27lkWLFmEymbRgX7V2qmQXKhDcZrPxyiuv0KBBA5o1a4avr2+iyQLV9RMnTjB69GjOnj0bLzEh/Jfgr2fPnrRo0cIwf6YVatwtX76cL774Ip7Q2GKx8PLLL7NixQrtvZBxmjlp3ry5YVzZbDZ8fHz46aefKFy48FO3f+bMGdq3b09sbKw2L1ssFurXr89333331GM1KRV09QIMMO4ZBEEQnmXCwsJ4//332bdvX6IVdLNnz06lSpV4//33KVGihPbchNZm/X4kJCSE1atXa4k3E/J5li1blm+++cbgXxUEQUgO27dvZ8CAAQDaPKb+DRs2jP79+yervStXrnDkyBG+++47IiIiiIyMNOwJFQnFjSiaNGlC2bJl6dmzp7aPTIo98+DBA9avX8+kSZOIiYmhVatWWnID8VNlLHr79fPPPzf4E+G/hJErV658YlK09MBms7Fu3Tq+/PJLIiIitDMAZW+3bt2aL774QpKyCYIgCEIak1hsnH4foT+v15/Np6SCrv29VfuP20fq/yb+9xcH/Wf922+/MWrUKMA4BvUC3JRW0NXzuHGo4vWSMk4FQRAEQRAEIS0QcW4SuXz5MsOHD+f48eNaIJc6/B0+fDj9+vWL95wff/yRI0eOsHbtWu2afSCkPlOqPlC9TJkyNG/enNq1a1O6dGntelobCUqgu2jRIqKioqhYsSJBQUEizBUyFfYCXcWsWbNo0KBBBvbsxSQjnBePcz6qqioJOW5EoCskxsOHDxk1ahSbNm3SxpEaLy+//DI//PCDYazYj/tDhw5x/PhxfvjhByIiIgwVeFUwmhqT+iQfKsNlmTJlqF+/Pq1atcLHxwdXV9d4jsqk8DiBbpYsWYiJiQFg69at5M+fX5zigiAkiMlkIjAwkLVr1+Lp6cm1a9cMf1eHfUqoqOZEq9Uab+5KqNKZml9VO3ohr77yeIECBcidOzelSpWiTJky5MqVi0qVKuHq6oqnp6ehT/q5MrX3JlFRUfz8889MnDiRt956i6+//jpN7iNkPEkR6NoL0u0PE0WY++KgxsvWrVsZNGgQLi4umM1mbXy4u7uzYsUKSpUqlWF9VHvaTZs28emnnxIREaHtT5UozdfXl1WrVlGgQIEM66fw9FitVlavXs3//vc/du3aBWBYp8GYAEP/N5vNhpeXFyVLlmTixIkUKlTosTZIdHQ0c+bMYenSpURHR2vX9feqVKkSAQEBNG/ePE2rgqp+btu2jXfeeUcTxyt7zGq1ki9fPqZOnUq1atUSFR4LmYNu3bqxf/9+bZw6OTnh7u7OtGnTeO21157q87PZbFy9epWOHTty584d4FFVqDp16jB//vxU8X0nVaDr4uKCyWQCYNq0aTRp0uSp7isIgpAZCA8PZ+TIkezdu1ebr9XeAB4F9WbLlo3PPvuMihUrPnEPumLFCnbs2MG2bduAhIW5BQsWZN68eRQpUiQNXpUgCC8SY8eOZfXq1QCGKqF16tRh8uTJ5MyZ84lt2Ns+165d48SJE6xYsYLDhw8THR2dZN+poly5ctSpU4cmTZokOW7kwYMHrFq1irNnzzJhwoQnPl5IX7777ju++eabePZyuXLlWLJkiaGiV0YSHR3NO++8o63tev+Ch4cHq1evzhRCYkEQBEFID9SabTKZtII7aU1SYuPsRbH6/1W10c6dO9OmTZsUCXSFzI99crT02PMnNjb1ia3tkxLZ/z2lAl096uxeVfFVSY3U2ZecBwmCIAiCIAjpiYhzk8HChQuZMmUKYDyQqVatGp9//jkvvfSSJsDRb+y3b9/OL7/8wuHDh7l586YhwEjvwLbPiurs7IyLiwvdunWjfPnyNGzYUGszLQ2p0NBQgoKCOHr0KPPnzydLliwizBUyHTdv3mTGjBn8/PPPgFGYK46k9EPNRSEhIdy8eZOqVaum+T2T4nxUzhz7ylXqcSLQFfSoMXXy5Em6detGVFSUoQKUl5cXH330Ec2bN4+3/trPN2FhYfz666/s3r2bvXv3GsagPgmHwj7IokyZMvj5+fHOO++QM2dOw9hM6tyWkEDXwcFBc3B+/fXXvPXWW8l/owRBeKGIjY3FxcWFBw8eEBwczO3btzl8+DCXLl3i7t27nD9/HmdnZx4+fGh4nrOzs2bj6CvlJmR22s9p+oy+esGvnhw5cuDs7EzFihUpVKgQRYsWpUKFCri6ulKoUKEEbSS9jZbSfeK9e/c4cuQIr776KiDBbM8zyRXo6sfpuHHj6Ny5MyBj5EVi5syZfPvtt/ESDRQsWJBly5aRK1euDB8Lt27dYvr06fz6668AhuqNLi4ufPLJJ7Rq1UrG7TOKxWLhyy+/ZNOmTYSGhgLES4ChSKxCk/o9R44cfP/991SoUCHBNVNdCw8PZ9iwYezfv99giyvxIfxn27Rr146AgABtT5AWgRB79uyhV69e8ewuFSzcsWNHBgwYgJeXV6rfW0gd1Nwzbdo0fvjhh3gCayWehafz+UVERNCqVStu3rwJPKoo8dprr/HDDz+k2ut5kkBXX4Utb968dO7cmbfffhsXF5dU64MgCM8+am5Uc8qzkmDiwYMHvPvuu+zcudMw5yn05581atTglVdeoW7duuTKlQs3NzdiYmK4efMmwcHBbN68mcOHDxv8+vbCXG9vb5YtW0axYsUy5PUKgvB8oObatWvX8sknn2CxWLRgbjWH6QPHk9uuok2bNpw4ccLgP7CvRqb/m0Jdd3FxoVOnTrz88su0aNFCaz8xW14vHBF7P3OgPoePP/6YVatWGWxogFdeeYWgoKAM7OEjVF+PHj1K3759iYyMNJx5Ojg4MHXqVBo1aiSxGYIgCMJzj1oXL126xPz582ndujVVqlQB0i5GMTmxcepcSp3Ti0D3xUGNzRs3buDg4ECePHnS3IeUlLFpf0alj5NPjQq6giAIgiAIgpAZEXFuElAb/7CwMAYPHsyxY8c0Q0D9bcKECbRp0yZRIyEyMpKIiAimT5/OuXPnuHDhgva3hKrpquv6Q+fXXnuNN998k1dffZUcOXLE619qEh4ejo+Pj+GgXBAyG2FhYXz55Zc0adKEN954AxBDPT1RDp4rV67QpEkTzGYzQUFBvPLKK2l2z8c5eNR8qZyPbm5utG/fnuXLl2tOSHsnEIhAV/gPm83GgwcP+Pjjj9mwYUO8oG5/f3/mzJmj/Z7QPKO+E8rRuWjRIvbv38/WrVu1x+izVupR661yTObIkYOyZcvSokUL/P39yZ49+2PvbY+9QFcxc+ZMLdmHzJeCIDyOxx3aPHz4kHPnzhEdHc2hQ4e4ceMGV65c4cyZM5hMJu7du2d4vFp3VXsWi0ULPrOvEqHQz096sa7KeqrHzc0NFxcXypQpg5eXF6VKlaJUqVJ4e3tTrlw5XFxc4mUw1mdRTe58KMFszz9JFejqH//pp5/SqVMnraq0jJHnHzVOVGUdfUVEm81GgwYNmDVrVkZ3U2Pv3r306dNHm4/1fii98E14tjCbzYwcOZItW7Zo66P9GqtPIqCvMm+/BqqACG9vb+bMmUPFihUT3A/ok3R16tSJ27dvG+wnfXIOPz8/mjVrxsCBA7XHPE1QiP2avXnzZoYOHaoFIqn3QM3V1atXZ9y4cZQoUSLF9xTSj7/++ot+/foBaGuu+jdy5Eh69uwJpNyWvX37Nm3atCEsLEy7h81m4/XXX2f27Nmp9jrs+2gv0FV7Yz8/Pzp37kzr1q01m18QBAGMa+3ChQsZMmQIPj4+md4W1fdv0KBBbN26NZ4Azd43D+Dl5YWLiwseHh6YzWZu3bqlCePUHjshAVuBAgX44YcfRJgrCEKqYTab6dq1K8HBwfGSqpcrV45vv/2WvHnzJrk9/bw4btw4Vq5cCaAly7L3caqkBvZ+J/U35XOyWq3Uq1ePGjVq0KxZM0NF34Qq8cpZUOZB2cTDhg1jw4YNhvURoEaNGixYsEDzg2cGbt26xXvvvcfBgwfjiSzat2/PF198kdFdFARBEIQ0RR8b1759eyIjI2natCk9evSgQoUKQOrvt54kflQ/x8XFkSVLFhYuXMi0adO0ZJpWq9WQ9EsEus8n+rHZrl07fHx8WLx4MXnz5k0zgW5SKuaqn11dXalcuTL79u0Tga4gCIIgCILwQiDi3GRgs9n45JNPWLlypSGgzGw2kyNHDoKCghI9BFaGQ1xcHKdPn2bTpk2sXr2a+/fvExcXF68iQGLVdd3d3fHx8aFXr16UKVPGUKUyLYwqMXiEzE5sbCxubm6AjNf0RO/gCQgI4Pbt2wB4e3szY8YMatasmer3TE5WwCxZsrB06VJefvll5s6dy/Tp0zWBrjo01B989+/fn+7duxsSHwgvJuvXr2fEiBGAUUhrs9n47LPP6Nix4xPb0I/Vu3fvcuTIEX744QeuXr1KWFiYFjxhn+hDoQ9mB6hZsyZlypShb9++ZMmSBQ8PD4OYLbF578GDB/zxxx98/PHHgFQYFwTh6XmcvREXF8e9e/c0we6tW7c4cuQIly5d4v79+9y4ccNQCUCfZV9fHddePATGoDJ7oZGyl+wr7MJ/82mhQoVwcXGhQoUKvPTSSxQpUoQKFSrg5ORkCFyzJ7MHPT/PqPfeZDLh6OiojZH0/jyeJNC1rwBVu3Zt5s2bh6OjoyS4ekFQc2KHDh04evSoYY9ns9lo2rQpgYGBmWrfNWvWLE0wrMYy/FeVfNGiRSJseMYwm83079+fXbt2xauupK+glBiPq2aXI0cOVqxYQaFChRKcg9X4P3DgAIMGDSIyMtIgtNELgt3d3alduzaBgYFkyZIlxa9Xvw8JCQlh69atTJkyJZ4wV70GHx8fvv766zRNICakLjdv3mT48OEcOHAgnk+8cuXK9O7dW7Npk4vVauXWrVt07NhRE+eqsdKwYUNmzpyZ6r51e4HusmXLWL9+PXFxcRQpUoROnTrRtm1bsmXLlmr3FATh2Uetu5cvX6ZTp07cuXOH1q1b88EHH+Dl5ZXpbVX9XPrFF1+wbt06LYGXfm6HRz7QxHwFev+o3gZzcnKiVKlSTJs2jSJFiqTfixME4blGzUd//PEH48aN48GDB4ZzmBw5cjBt2jRq1KiRpH2jfr7+6KOP+PnnnwE0f5GyX5o1a0ZUVBTbt29PcA7U90G1p+ZSJycncufOTefOnalYsaLYPs8QqnKuvS8pLRIHpQbLli3TRLjKN2+xWKhVqxbz5s1L08psgiAIgpCRqH3f5cuX6dy5M7dv39bW7UaNGtGrV69UF+imRJhbuXJlYmNj6dGjB8HBwVJB9wUgsbjNChUq8M0336SJQDe5cZsrVqzAxcWFGTNmsGXLFs2no2LkRaArCIIgCIIgPG+IODeJqE1/aGgoXbp04fr165oR4OjoiIuLC4MGDaJPnz5akLg99ofmwcHBHD9+nLlz5xIeHq4JxvRVLBT22VmdnZ1xd3enZcuWvPrqq9SpU0eCfwVBSBf0AUJdu3bl1q1buLi4YLPZMJvNaSLQTa6DJygoiAoVKmCz2bh37x6rV68mMDDQINBVzxeBrgDGAIehQ4eyefNmbcyp682bN2f8+PG4uLg80RFo7ywMDw/n2rVrLF++nG3btnHv3j2DyCyhbOb21XSLFStGuXLl6NChAxUqVNCqQD7OMRkVFcWvv/5K3rx5pcK4IAhpgl78k1iAcEREBCdOnCAyMpIDBw4QFhZGaGgoly5dwmq1Ehsbqz1WfyCj2gcSnCvtExXoA9X0lXH1Ab0A2bJlw9XVlYoVK5IzZ06t0q6HhwclSpTAxcUl1d8nIWmocXTx4kWmTZtG0aJFCQgIIE+ePBmydiW1gq5as6tVq0ZQUJAIdF8wOnXqRHBwcLw56O2332b06NEZ3T3g0VjetWsXw4YNIyoqSruu5lZ9Ihch82M2m3n77bfZv3+/Qeiixp/NZsPLy4tcuXLRsGFDcuTIgclkIi4ujm3btnH9+nVu3rxpqEanz1huNpspVqwYCxYsIE+ePI+1IbZu3cqHH37IvXv3DDa6alP9X7p0afr370/lypUN1aaeZJ/Y//2PP/5gy5YtbNiwIV7gur6a1Pfff4+/v/9Tv9dC+vLtt98yc+ZMLeAb0D7fli1b8vHHH+Pp6ZmitsPCwmjbti3h4eHAo+9L69atmTRpUuq8ADv04/fff/9l/vz5nD59mrZt29KhQwcR5gqCYEAfWNm5c2fCw8NxcnLC1dWVhg0bMmbMmGdOoLtgwQLWr1/P8ePHAeKJbhWPs/31+5vcuXNTs2ZN3n33XQoUKJAeL0cQhBeMS5cu0atXL65fvx4vuXqdOnWYP3/+E9tITJjr5OSEg4ODdi75wQcf0LNnTwBWrVrF/v372bhxIyaTCUCrnmovrFDzorLd3NzcMJlMvPHGGwwdOpSSJUumwTsjpCbjx49n6dKl8c4Jy5Yty5IlS/Dw8MgU53hqTT58+DA9evQwJMm02WzkzJmTtWvX4uvrm6n3JoIgCILwNFy8eJEePXpw8+ZNXFxcsFqtml2b2gLd5MbGLVmyhPLly2uFTeLi4ujevTuHDx+WCrrPMfq4zS5duhAeHo6LiwsWiwWr1ZomAt3HjU1l3yQUtwmwf/9+lixZwubNmw0CXf1zQAS6giAIgiAIwrOPiHOTgc1mIzY2lvHjx7N69ep4WUvLli3LTz/9pInUEjMQ7A/Ow8LCWLduHTt27GD//v3adX1gnH1FPXUIA5A9e3aKFi1Kz549KVmyJEWLFtUemxbVdAVBEG7dusVbb71FdHS0duirgmJTW6Cb3KyAysGjF0Tcu3ePVatWGQS69sG7IAJd4T/mz5/P1KlT4wVeACxcuJBatWolu001ji9evEiHDh24f/8+YKxYZu8UT+jvikaNGlGlShUCAgK0jIKJBebp9wLiwBQEIT15nDjx/v373Lx5k6ioKI4cOcLp06dZs2aN9nf7KvfqkEa/hidUETAx4e6TKu06Ozvj4uJC8eLFyZIlCzlz5qR///6ULl061d4P4fHoA9E7depEREQEALlz56Zp06bUrFnTILJKr4D0pAh0HR0dNUFu9erVWbx4sQh0XyC6dOnC4cOHtT2cmm/69evH8OHDM7p78ejbty9///23Nl+qubZv376MGDEi04s9BBIMsNGPPZvNxiuvvEKbNm3w9/fHx8fH8PyIiAjCw8OZMmUK+/bt0wIf9MktlF3SvXt33n33Xdzd3RPtj8lkYsOGDUyYMCGeQFfNlWpO9PX1pWzZsnTt2pVq1aoZRJaPS/hx//59zp07x6pVq1i3bh1mszmeMFdV7gGj2FxsoGcD9TmZTCZ69+7N/v37tTHp4eFB8eLF+eSTTyhXrlyK73Hz5k1at26tVRFQe8X27dtrVaDSAv0YPHPmDGFhYVSqVEmEuYIgGFBzhb4aj6urqybQcnd3f2YFunv37mXjxo2sWLFC+7t9hXQ9+sqR+sSFFSpUoEWLFjRp0gRfX9/0ezGCILxw/Pjjj3z22WfAozMaBwcHPD09+eKLL3jzzTcTtTOSWjF35MiR9OnTx/Dchw8fcubMGRYuXMjp06e5cOFCohXFFWquNZvNNGnShGnTpqXSuyCkBWp9nDVrFrNmzTKIGQBy5szJmjVryJMnTwb2Mj5ms5lWrVpx7tw57ZqDgwNeXl5s2LAhnt9BEARBEJ4XYmJiaN68OVevXsXd3Z2HDx/GExemlkA3ueJHJcxV+091JikC3ReD69ev07p1ayIjI3F1dSUuLs5wTpSaAt3kxm2qsRkXF6clRT9w4ABBQUHxBLpSQVcQBEEQBEF4nsi8J7eZEAcHB7JkyUKzZs0AtENh+O/g48SJE/zwww/aYxNDf2ButVrJkycPvXr1YtGiRXz44Yda+/oDaf3PekEZwIMHDwgODmbs2LH06dOHRYsWERwcbHiMaLAFQUhNQkNDtYDI2NhYQzUTZ2dn7t69y3vvvcfevXuf6j4pFeYqAa4ie/bstG/fnhEjRmhOSScnJ63ar3rsnDlzCAoK0gI1hRcLtVZ27dqVkiVLag5uFfgAsHjxYu7cuZOsdlWA+7lz5+jduzf379/XMqTbi2r1wfD6fqnvgurHpk2bmDhxIr169SIwMJCQkJAE7wsYnKziuBQEIT1JSJSo5iZPT0+KFStGxYoV6d69O61atSJLliza/KjW6Hz58lG9enW8vb0BNDGOzWbT5kxV0VzNnfbCXJvNpomEVMZYJf5Vc6vFYiE2Npbjx4+zf/9+XF1dRZibjugz/AYEBBAREYGLiwvOzs7cvHmToKAg+vfvz+jRo1myZAkmk8nweaclagxly5aNtm3bEhAQgJ+fn0GIqcajs7Mz+/fv1ypJ2AfYCc8Xaj57+PChoVq3GpPXrl0zPC6jUfZTnTp1ADR7SF0/deoUQKYWeQhJE+a++eabTJw4kWbNmuHj4xNP+OLr60vJkiWZO3cuffr00arO2dslVquVPXv2cOXKFe1aQri6utKkSRMmTpyIl5eXZmPrkwyp6rwRERHs3LmTAQMGMHToUKZOncrBgwcJDQ3Vgi9U1fuHDx+yZ88e1q5dS69evRg2bBg///yzQUysgjfUWPby8mL27NkizH0GUZ+jq6srnTp1onDhwlitVnLkyMFbb73Fl19+Sbly5Z5qTo2KisJkMmnztbKVvby8gJTtKezX+YTa0K8NJUuWpE6dOiLMFQQhHg4ODkRERNCnTx9u375tEKbCfwHBmzdvZsKECURGRhqS+2ZG9OLbmjVr8tFHHzF58mRKlCiBp6enFhiqAjLVP0dHR+1/NcfmyJGDjh07MnPmTDp06CDCXEEQ0pzKlStTpEgRQ+Iii8VCZGQk+/btAxI+a0mJMFefkN3NzY0KFSrwxRdfsHDhQrp27UrZsmW15yrbT6HWArPZTMuWLTVhrsSFZF6UDVK+fHnA+Fk5OzsTFRWl+WcyyzqvbPrs2bMDjwTrjo6O3L9/n/Dw8AzuoSAIgiCkHe7u7owePRovLy9iYmK0tVwvdty4cSMLFizg6NGjgNEXmFSSEhtnX5VUL8xVjzWbzbi4uLBkyRIqV66M2WzWEgzrz7EuXbrE8uXL+fnnn4mKikpRn4WMZdu2bQBawkv7pNJHjx5l6NCh3LhxwyAmTy6JjU0XFxfNvrGP21RjUxW4AqhWrRrdu3enYcOG2hmQ8gvpRbxDhw5l06ZN2muTcSkIgiAIgiA8S0gJlxRQs2ZN2rRpw88//6wF5CpD4OjRo9y7d4/s2bMnKQBMH/Tm7OxMjx49CAwMjPeYhCro6qv5OTo68uDBA6Kiopg8eTK5c+emevXqdOzYkWLFihmqQGb2jNqCIGR+KlSowLBhw5g7dy7btm3TnCbqEFgv0E1pBd0nOR9tNttjswLaowS6AIGBgVo/zWazJio2m83MmTMHQCrovoAoB6CbmxstW7bk66+/xmKxaP8ATp8+TXh4uBbk/qT1VD3mwoUL9OnThxs3bmhjWDkovby8GDJkCEeOHGHdunXa8/SOdrXPUGu/+m7s37+f/fv3s3btWpo0acKrr76Kv79/PIGvIAhCZkHNTfZ2UsmSJcmaNSt37twxHLLkypWL+fPnc+PGDS5evMi1a9fYv38/kZGRHD9+nPv372siHXi0f1CHTPYBy6ptvSBNn7TDarXSokULpkyZYmhPSDv0FXNVhSj9gZ5+3fv111/59ddfWbt2LY0aNeLVV181iKjTyta1F+gCWgVd9Xc1zvQC3cWLF2t7TKmg+/yh5pO8efNy/PjxeNW879+/D2QesasKFKlSpYqhMrkiKioqI7olJIPEMt4rW9xms9GiRQsmTJigBTJAwmuvsuEHDx6Mq6sry5cv59atW9q4Vo89ffo0S5YsYfz48Y8dyy4uLjRo0ABvb28GDx7M3bt3tTbs/Zpq/O3Zs4fdu3ezcuVKnJycyJMnD76+vsTExBATE4PVauXs2bPaPKrur3+9SqDr7OxMwYIF+eSTT6hVqxYga/iziPq8Xn31VXbu3ImbmxtNmjShTZs25MmTJ54YIbmosWU/NlQSmOSOF7W+22w2FixYwJtvvkmhQoUSHHv63zPLuiAIQubDw8ODChUqcO/ePSIjI4FH9pDNZtMEusAzUUFX3y9XV1datWpFxYoVOXXqFMuXL+fatWtcv349XoCo1Wole/bsZMuWjS5dulCuXDlq1KiR3t0XBOEFpnTp0tSqVYtLly4ZkqBaLBaWLl3K66+/Tt26dQ3P0c/HY8aMSbIwVz9Xqj2jp6cnnp6ejB07losXL3LgwAEWLVpEeHg4kZGRmn2vzrT0vszMvC4Ij1CVZtWZH/w3RsxmMzt27MDf3z/TfI4ODg64ubnx0ksvcejQIc3GV+t3XFycjDtBEAThuaZhw4a4uroybNgwoqOjtTge5WO3WCxs3LgRQKugq08i/SSSGxunL1phv/7qzySDgoIM5wlg3CsqgS4gFXSfQTp27IjJZGLFihVcvnw5XvJVvUA3pRV0Hzc2VXxGYgVV9OdSqp1q1appbW/evNnwHVIC3bi4OK3Pb775ZrK+S4IgCIIgCIKQ0TjYJL1Mili1ahUff/xxvCq4AJMnT6ZVq1ZJbktvQCxcuFA7PHF0dNSCO+0/Jr1gR48KcFNO8Zw5c5I7d2769+9P8eLFKVasmKG/4iQXBCG56OesgwcPMn/+fP7880/g0eG0PuDW29s72QLdxzl41AF2coS5eu7du8eqVasIDAw0CCBVdVTVfv/+/UWg+wJz6tQpunXrplW5VWPLYrHQqFEjZsyY8cQ29MLcXr16JSjM9fb2ZtWqVRQqVAj4zwF5+PBhfvrpJx48eAAYA9n0VXSVE1J911xdXTGZTNSvX5/PP/+cnDlzpsl7IwjC84V9ldmMwGq1Eh0dTfPmzQkNDTWIeXx9fVmxYoVW1U893tHRkWvXrhEVFcXp06f5999/uXHjBocPH8ZsNsercq5eo8oOrK+0p6982qJFC7788kvDfYS05/Lly7Rr14779+8bhLlAvHVPL8RydHSke/fulCtXjsaNG2vPSavPTvXl/v37rFmzRhPo6vunEmSYzWaqV6/O4sWLtd9FoPt8EhgYyNy5c+PNKQULFmTx4sXky5cv0xwaW61Wrl+/TkBAALdu3TJk0s6RIwe///472bJlk7GaCUmsYq6ywW02G61bt2bSpElA0oSpaq40m81MnjyZpUuXGvyNaiwXLlyYuXPnajbLk7h8+TJjx47lxIkTPHjwQJsX9f7NhOwZdU99sgN9Ag1736h6nq+vL3Xq1KFbt25UqFAhya9fyNyEh4dz7tw5ypYtm+QkmE/i1KlTdOjQAbPZrFWKsNlsjBo1il69eiWrLb0wt3Pnzhw+fJgOHTowYMAA8ufPL2NQEIRko9blhw8fMnHiRNavX2/wDerXQnd3dxo2bPhMCHQV9vOixWIhNDSU4OBg7ty5w6lTp8iaNSve3t54eXlRu3ZtsmXLZvBvPguvUxCEtCet91n6c51BgwZx8eJFg+3i4OBAt27dGDlyJIDh/AiSVzH3cXOa/d9DQkK4dOkSP/zwA+fOndN8n61atWLy5MlJalPIPNhsNrp27cqhQ4cM/iSr1UrRokUJDAw0JCTMDIwaNYrffvvN4LvPkiUL69evJ2/evBncO0EQBEFIe3bs2GEQ6JrNZkNsHECjRo00gS48ee+aVrFxyneZ2LmC2n/YbDaKFClC586dRaD7DKGPX1u0aBErV67UEkrrfUhqf1mhQoVkC3STOzYfJxq3b+/AgQMEBQWxefNmzc7Snwsp4a8S6No/XxAEQRAEQRAyKxJtl0Lat2/PH3/8wZ49e7SNvzI+Vq5cSc2aNZPkhNYbDgsWLNACwVVwjzKK27VrR7ly5Vi9ejUXL14kOjpaM6D0Boo+u6aDgwO3b98mPDycYcOG4efnx5tvvkmLFi3ImzcvWbNmTYu3RhCE5xy98KBq1ara9T///NOQ1UyJJpJbQfdJWQEhvoMnqcJcSLyCrr7PUkFXKF26NL169dKq5+oPx//9918OHjxI1apVE3UAJlWYu3z5cgoVKoTJZMLV1ZWGDRvSsGFD2rZty+rVq/nnn384ceKE1q7+e6Bf+5UwF6Bly5YizBUE4bHo5y77/zMCBwcHPD09KV++PKGhodphksVi4datW/z777+aOFdfMS1v3rw4OTlRqlQpWrRoAUBERASxsbEcPXqU69evc/nyZY4ePcrDhw+5cOGCVmUQHgmA9FUmRJibMagqyOqzh8QP2fTXTSYT8+fPB2DdunW88cYbvPbaa+TKlSvBxz8tSamgq+x4qaD7/KPGVp48eQAMIkmbzUZISAjnzp0jf/78GdzTRzg6OpI7d25y5crFrVu3gEcVgB0dHXFxcUlW1mwhfTCbzQkG0Kg502az0bZtWyZMmACQ5OAKtQ46OzvzwQcfcPToUY4ePWpIWmGz2bh06RKnT59OkjjXYrHg5+fH9OnTWbJkCdu2bePMmTPxqk3Bo7Gnr5SuDwxSdpje16lfJ8xmM35+fvTq1YvXXnuNfPnyaf2QII1nn5w5cxrs2tT4TO/cuYPJZNJEFWo8+fr6JqsdvTC3R48eHD58GIBNmzZhs9kYOHCgCHQFQUg2al3OkiULH330EYAm0NXbp89iBV0wzuPqXLNgwYIULFgwyW1k5tcnCEL68bjzmNRAtZM7d26KFy/OxYsXDfa+xWJh3bp1dO/enXz58hl8PSmtmPu4fqg9ZaFChShUqBA1a9Zk586dbNmyhaioKBHmZgCptc/Pnz8/Bw8ejGeDX7hwgWPHjlG6dOlMZVOosaxseXU2Kb5OQRAE4UXB39+f6dOnx6ugqxJMJreCbmKxcfokxiktWqHOJF1cXOJV0FVn5VJB99lFHzPes2dPAE2gmxoVdB83NpVwNrljMykVdK1WqzZupYKuIAiCIAiC8CwintIUoAyJRo0aERwcjMlkwmq1asFh586dIyQkhLx58z7W6EiqMLdVq1aMHz8egDp16nDp0iW+++47rl27xq1bt7T76kW6+uz/yuC+ePEic+bMYfHixXTv3p3hw4en6fskCMLzS0ICXZvNxrZt2wxOk+QKdJ8kzLXZbMnKvJYYiQl0zWazCHQFjYoVK5I9e3bu379vyBx59epVdu7cSdWqVZ9amFu0aFHtAFv//GLFijF8+HAsFgvz58/n8OHD7Ny5U3PC22cOVMLcWbNm0aBBg3R4dwRBeNawF+SeO3eOGzducPbsWVxdXXFycqJixYp4eXkZhGTpEdil+pU7d27tnvBo/Q8NDY33WEA7NFJ9tNls+Pj44ODgYBDoREdHY7VaOXnyJJGRkRw5coQzZ84QFhbGqVOnMJvNNGzYUIS5GUitWrWoUaMG//zzj/ZZOjg4kD17dnx8fLh06RKAoUqkxWLRHgv/JYrZvXs33t7e9OrVi7Jly1KtWjVtzCRVrPYkRKArKNTYqlu3Ll5eXty/fx/A4If5/fffqVatGh4eHhnZVQP66qX6SqQeHh54enpmVLeEREgos72aX55GmKvQVyPv06cPo0ePJjY2VpuH1VjetWsXDRo0eGL7yk7JmTMnAwYMoHHjxixevJh169YZ7G3ly1SouVP9DMa9iwo2Uc/z8/OjYsWKvP/+++TMmVMCMoQkcfPmTcA4Dzo6OhqSejwJvTC3e/fu7N+/X/v97t27bNmyBQcHB/r27ZvkatOCIAgKtS4/rwJdRUJ9VPadBFsKgqCwtz3CwsKIiori0qVLZM2aFWdnZ4oXL463t3eqz302mw1PT0/69evHX3/9RWxsrCHuIjw8nNmzZ/PBBx/g7u4OpF7FXHvsq467uLhQr1496tWrp11/Vub/5wH1Xt+7dw+r1Yq3t3ey21DrXOfOnfnrr7+4d++edl3Z4F999RUVK1akZMmSqfwKko96zeocUn0vLRaL9v2TMSgIgiC8KCQk0FV+7+QIdJ9UlTSh2LjkFK3Qt5WQQBeMe0gR6D57pJVA90ljU50bpWRsplSg+/XXX/PWW2+Jz0gQBEEQBEHI9EhEaApQhsRrr73G7NmzCQ0N1YwDJycn7t27xzfffMPcuXPJkiVLgm0kR5irMp5aLBYKFy5M4cKFqVKlCsePH+e3335jy5Yt3Lt3zxDgpgww+O/gx9HRURPvFC9enEGDBqX12yQIwnNOQgJdBweHeBV0VeDikwS6T3LwQMqzAibE4wS6+p9FoPviUrt2bV577TV+//137Zoa18uWLeO1116jcuXKhuekRJhr7/BU49nZ2RkXFxcGDRpEZGQke/fuZcWKFZw5c4bbt2/j4OCAk5OTlplw5syZmjBXHJKCINij5oSgoCAOHTrExo0bDUIYADc3NxwdHWndujXlypWjbdu28ao0pAVq7ixevDjwaK5VNtHevXvp2rWrVuXMHtXHhA41bTabJopTQk01V1qtVi5cuMCDBw+oWLGioS9C+uLj40OlSpX4559/cHBwMAQ8jhkzhhMnTrBu3TrOnTunZaBWSTPg0WdvNpu5ceMGU6dOxdnZmbZt21KrVi1effVVQyKMpyUpAl29yFwEupkX/dyWUgG3ErVGRkYakhQBHD58mDt37uDh4ZFp5hcXFxdtXlTfNyX4jIqKwt3dXarnZhISE+bqqzY9jTBXoZ5TokQJXF1diYmJMVSvBbT5LakVeW02G+7u7pQuXZpJkybx2muvERwczMqVK4mLizMEHavXBo/mVzXPq2sqCN3Ly4vmzZtTv359qlSpon3nxPYRkoIaz8pvrhfpJoXEhLmqHWdnZ+7cucPKlSupUKGCiHMFQUgRap1XAl0HBwd+//33xwp0bTYbY8aMwdvbO9PsOZOLfo8h67ogvNgoO13NC2vXruX48eP88ssv2Gw2Hjx4oNkNBQsWJFeuXLRq1YqKFStSunTpeO2kBNX+Sy+9hL+/P5s2bdISKKg95bFjx3j48CHu7u58+OGH/PLLL0DqCnPtUe+J/rXZbLZnct5/FlGf36VLlxg+fDivvfYa3bt3x9fXN1ntqM8uZ86ceHt7ExkZGe98+sGDB6xatYrBgwfj5eWVFi8nyTg6OhIREcHJkycBDDZ45cqVk/36BUEQBOFZ53ECXfXz4wS6ya1KmtKiFSAC3eed1BboJjduMyVjM6kC3bi4OO1e7777rgh0BUEQBEEQhGcC8dSnEKvVSr58+ejXr5+h4oMyNi5evMg///yjXdOTUmGuvjKUp6cnNWrUYMKECcyYMYNhw4aRLVs2Q5UhBwcHHB0dtX8mk4ny5cuzbNky3NzcNKNJEAQhpehFPVWrVqV3795atmb9vGVfQXfv3r2GdvQHefbORzW/pqYwV6EEuiNGjMDR0dEglND/PGfOHIKCgrh9+3aK7yWkLvZra2qjxl379u3JkycPgBac7ujoyMOHDzl06JDhsakhzNWj/355eXnx1ltv8dVXX/HDDz/QoEEDChcurK3ls2bNomHDhlo/xREpCIKe6Ohodu/ezcCBA5k4cSL/+9//gP/WVmdnZy2Rj8ViISYmhuXLlzNmzBgGDhzI7t27iYqKMogNUxu1lpcpUwZAE12qOTAqKgpnZ+dkzW36KsH21/TCjOLFi4swN4NRn3Pv3r0pWbKk4fO5ffs23377LX369OHbb79l5MiRZMuWzZAcS49ap9VYXrp0KR988AHdunXjjz/+4Pz584bHP82YthfoBgQE4Ofnp41dvfBHL9BVv4s9nvFYLBZN9Af/Bbmm5HPJnTs3bdq0AYyVaJ2cnAgJCeGbb74BEq4Qlt5YrVYePHjA3bt3tWtqbixatCienp6Zop9CwsJcJf5TP6eGMFehAs8rV66s+RTV2HB2dtYq+SQV+zW3cePGfPjhh/z000+8//771KhRg7x582qPUa9J/a+uWa1WihYtSvXq1Zk6dSrz5s1j9OjRVK9eXVsLZMwKT0LNzeHh4YBxn+jm5ka2bNme2MbjhLlqHKp9RdOmTWnXrl0avRpBEF4E9ALdDz/8kGbNmpE1a1bgkR9dzWUxMTFs2bKFCRMmcPfuXcN8JAiC8Kyh5riHDx9y9OhRhg0bxgcffMCyZcuIiooiNjbW4CO8ceMGhw8fZuLEiXTv3p2FCxdy6dIlgKf2ZTo4OODp6Ym/vz9grPANcOLECZYtW8bnn3+eLsJc+74l9LOQdqjP78qVK3Tt2pUTJ06wfv16Vq1aRURERIraLFSokDY+VLJ95acym81s27aN4OBg7f4ZSVxcHA8fPow3hnPmzAkY/WGCIAiC8CKgBLoeHh6a39DBwUFLMAywceNGFixYwNGjR4FHSSjTWvxoj71At3Llytrewz7O+NKlS/z000/88ssv3L9/X/aazwD2At0OHTrg5+cHGH1I9gLdGzduaP4nSFyY6+LikmhBlZSOTX0sXLVq1ejevTsNGzbUviOqPSXQBXj33XfZtGmT9nxBEARBEARByIw42MRT+lQcOXKEQYMGER4ergWFqbe0Xbt2jB8/3vD4pxXm6rE3bi5cuMDff//NH3/8wZEjR7TrWbJk4eHDh5QvX56lS5dqwlyp1CMIQmqhn9sOHjzIvHnz2LZtG4DBmaOcfj4+PkyfPp2aNWsa5jh756OqBpTazkd77t27x6pVqwgMDNQEE+reeidoly5dGDZsGJ6enqlyXyHpJEVw+rQB6Qlx9+5dBgwYQHBwsDYulOMyX758rFmzBl9fX21dTS1h7pOwWCycPn2ajRs3UqZMGRo3bgyIMFcQhPjcvn2boKAgtm7dyrlz5wxBvAlVHrX/W9GiRWnQoAE9evQgR44caSaCsdlsnD59mrZt22pzrZpvvby8WL16Nfnz55dqjs8pNpuNuLg4pk6dypIlS7Q1VIkle/XqxfDhw3F2dubkyZPs2LGD3377jQsXLmht6JNmAZpIV+3lsmbNioeHBz179qRixYqGbLxPs36q596/f581a9ZoFXT1FYBV4iyz2Uz16tVZvHhxvMQwQvqiH19NmzbF09OTNWvWAKToc9m8eTNDhw4FMBxy22w28uXLx0cffaRV7c5owsPDadmyZbzEQ127dmXs2LEZ1CtBT2LCXBVkkdrCXHg0l/Xt25e///4bMO4J8ufPz/r163F3d3/qeygiIiI4cuQIt27d4ty5c8TGxmrC3Bw5clC0aFF8fHyoXbs2gBaEkVBbgpAUPvvsM3788UdD8I+Pjw9r1qwhf/78iT7vScJcVenZarXSokULzd8v4nFBEJ4WtcY/fPiQSZMmaRV04VGlejWfubu706BBg2e+gq4gCC8uat6KiIjgp59+YtOmTZw8edLgy1TB5Xp7QP1d+YRef/11mjZtSvPmzQ3tJhd1D4vFwqBBg9i+fbt2b3XuqU+IkF7CXCH9UevxlStXCAgI4Pbt27i6umIymcifPz8dO3akffv2yaogq8bX+fPn+eSTTzhw4IC2tsMj31KFChWYN28e2bNnz1A/4vfff8/XX39t2H/kzJmTxYsXU6xYsQzpkyAIgiBkBnbs2BGvgi4Y4+QaNWpEr169ePnll7U9YUKxcern1C5aoVB7iYTOH9Q91P43e/bsTJs2jbp16z71fYX0QX2GFouFRYsWaRV0wehDUjZMhQoVtAq6JpMJV1dXIH3Hpt6uO3DgAEFBQWzevFmzufS2lqoqPWXKFFq2bJniewqCIAiCIAhCWiJRoE9JxYoVad68OQsXLtSCyJWBvXbtWt544w2timRqCnPBWHVFBc4XLVqULl26sGzZMo4ePcr69et5+PAhZcqUEWGuIAhphv4wvGrVqtq1P//8U5vHLBaLJpC4c+cO7733HtOnT6dWrVpA/MxryrGS1sJceFRBFyAwMFCbJ81ms0Gge/fuXRHmpjN64YSLiwt79uzhzp07XL16laxZs+Ll5UXx4sUpUaJEqgu2bDYb3t7eDB06lIEDBxIbG6uNdWdnZ0JDQ1m+fDn9+vXD1dU13YS5Kvi3bNmylC1b1tBfCVAXBEHPjRs3+OKLL9i3b5+W3VYdyuhFCfp1XB3MqAOPCxcusHLlSkJDQ3n//ffJnTt3msw3Dg4OFClShGLFinH27FngUcb9yMhIIiMjKVSoUKreU8g8ODg44OrqStu2bVm1apVWiUEd+O3cuZN69epRvXp1ypQpQ+nSpQkICGD27Nn8+++/7N+/33DgrQ6S9Rl2Y2JiePDgAVOnTiVXrlxUq1aNTp06Ubx4cXLkyKH1Jbn7TPsKuoAm0FV/1x8eqgq6ixcv1vaYYp+nL2ovFhcXR48ePbTPqm/fvsydOzdFn0vDhg3x9/dn+/btAIb59Pr162zatIlXXnmF7NmzZ1hQrpq7r169qgWK6PfapUuXNjxOyBgSC4zRJ5BKbWEuPBLixsTEaNdUoIbNZsPNzc2QRf9p7qH67Ovrq/lMn4T6PtknExGE5PDw4UOAePvgxyHCXEEQMhL7CrqAJtDVVz+x2WxaBV1ABLqCIDxzqPkqLCyMSZMmsXfvXu7evav5MvVVQ/U+TPW/spnMZjPbt28nJCSE27dv07NnT+35KanmpP6vUqUK27dv1+Zle5GweqwIc59PnJycuHDhAt27d+f27dta9TBHR0euX7/OTz/9BJAsga4aM8WKFaNOnTocOHBAu67Gl5OTk1ZBev78+QY/Tnqgt8GVvx7Q/Eg+Pj5kz549XfoiCIIgCJkVVUF3+PDhPHjwQFuvld/QYrGwceNGbDYbvXr1omLFivz222/xKuY6ODgYxI9BQUGpKszV30tV0NWfQ4DRT1q7dm0R5j5j2FfQBTSBrn4c2VfQnT59OgUKFACSXs05tcam3qbSJ9XevHmztu9VfniVHGf79u0izhUEQRAEQRAyLXIS8BSog6DGjRvj5+dnCDJTAWsHDx4E0AxpSB1hrj36jLHOzs706NGDwMBAvv32W3r16sWKFStEmCsIQpqiD26sWrUqvXv31gJt1Xxms9m0eeju3bsMGzaM06dP8/vvvyfJwZMWwlyFEuiOGDFCq2Tm6uqq9blVq1YEBgYCj8RCQtrj5OREaGgokydPJiAggLfffpvhw4czbdo0vvjiC0aOHEmnTp1o2bIl06dP19ZdxdN8VmptLVKkCGXKlNH6o6o5Afzzzz+4uroSEhKSLsJcINHxLwHqgiDouXr1KgMHDmTr1q2aMFcfLJbQXKLmJ30QkIODA3fv3mXr1q18/fXXREREGNb81MTZ2RlPT09D26pKXkhICIAhGE94vrBarZQuXZpOnTrFE1+dOXOGjRs3ao+1WCx4eXkxatQovvnmG8aMGUO5cuXw8PAw2OP2laCVLXz79m02bNjA8OHD6dmzJ+vXr9eCzPSHk0nFXqAbEBCAn5+fIQuxPlhUCXT1gjshfVAH00qYe+jQIVxcXHB2dubvv//Wgmf1NklS2gRo0qQJPj4+2nWV6ADgt99+Y8WKFcCjDNXpjfo+/P3338TExGivz2w2kz17du3gW/aUGUdiFXNVEE9aCXPVXHXlyhXCwsK0DPl6qlatipubW6qMj4T6bB9sb/8d0e9hBCG5qPkuLCwMQBN5ODo64u3tjYeHR6LPE2GuIAgZjb1At1mzZmTNmhUgnihMCXQnTJjA3bt34wna0hP7vXRS99aCILx4qL3T1atXGTx4MJs2bdKEuXobICG/pv7vZrNZszXOnz/PokWLWLZsmfb4lNrhjo6OdOnShSJFihjiPVR7yu8jwtznm9mzZxMeHo6bm5tmDwAGge6qVauIiIhIcptqDA0cOJBXX31V8wHoK5s5OTmxa9cuPvroI8BYhS+tUWN906ZN/PHHH9p1NdYDAgLIlStXuvRFEARBENIKvS9av8YnB39/f6ZNm0bWrFkNe1LlPwT43//+x/Lly5k5cyajRo0CHi/MTavYOHuBbuXKlQ2xxBaLhZYtWzJjxgztNQgZQ0L2y5NsGnuBbocOHfDz8wMwxH7oBbrDhg0jLi6OLVu2xKuY6+DgkOZxm/q4k2rVqtG9e3caNmyoJeBW/nmTyUTr1q2ZPn16qtxXEARBEARBENICOQ14CpSRUapUKV566SXNQa4X6S5btowzZ85oRuy8efMSFea2bt06RcLchPqkeOONNxg1apQIcwVBSBfsBbp9+vSJJ9BVPyuBbkBAACNHjgQwiBP0Dp4lS5akqTBXoRfoOjs7YzKZtCBLNT8rh5WQ9oSEhLBq1So6dOjAsmXLOHz4sJYtWokolEPu3LlzzJ07l+7duzNr1iyOHz8OGKvVpZT8+fPTqFEjAC0bthoD+/fvZ9KkSfTo0SNdhLmCIAhJQSUMOHnypDZnqcMYFTzj6upKvnz5KFy4MLlz5wbQKsar56j508HBgejoaHbs2MGKFSuIiYlJ9bVQiRSLFi0KPAqaU/uCw4cPa30Rnk/UHq9SpUqanQyPRFzLli3TKkEpW9rBwQEfHx+6detGYGAg06ZNo3Tp0lrVBv1BI6AdJMJ/Y+nOnTucPXuW0aNHM2TIEAIDAzl16hQmk8mw50xKAOeTBLrqO6UX6Hbq1Mkg4BTSHhUw27FjRw4dOhQvi/nOnTvp3bs3kHSBrhorderUoXDhwgbfkNoXAkybNo3ffvsNMNpN6YWqqHb8+HFtT63GXvny5cmZM6cEWmQgZrM5wYq5av222Wy0adMm1YW58CjI/dChQ4SEhBjWfzVn5s+fH0i7RFX6OVeEuEJqo74r0dHRwKNAO6vViouLC+7u7vGeI8JcQRAyE48T6OrXbcgcAl39HPrBBx9w586dZCW/EQThxUHtnUJCQujduzfHjh0DHiVTUb5Bte/KmjUrbm5uuLq6as9XydiUDa72Yjdu3GD16tVs3rxZazMlWCwWsmbNSps2bXB1dTXY88r+V/Pb8OHDRZj7nPLll1/SsGFDYmNjgUeJfCHlAl01ZuE/gW6JEiUMAiG9T3HdunVMnDhRu3d6CXRDQkL4+eefAbTvmYODA6VKlaJixYrp0gdBEARBSE306yzETwBjv39Lqj2dkEBX7WWVb/LXX3/l22+/BYznT+klzFXYC3SrVq2KyWTShLlTpkwBZD+b3iSUsFRdV/aQvU2T0HlNSgS6TZo0YfDgwcCj8aHsrPQYm4kJdNX9lQ9+0qRJ2usQBEEQBEEQhMyIKDWfEqvVipubG0OGDCE4OFjL5KoMlJiYGFavXs1HH33E/Pnz+eqrr4CEhbnKgEgr8Y4IcwVBSA/UHOjg4EDVqlW1a3/++ac2vylxkJOTEzExMcDjswKWL18+3Rx/SqDr4ODAl19+yVtvvSVBlumEvsLdnj17WL16Ndu3b+fBgweGzHwWi8Vw8KzGjRJbzJo1iwMHDtCyZUtat26tOR9T8tmp57Vo0YLNmzdz8OBBQ8Zqi8VCUFAQNpsNFxcXLfhMhLmCIGQUV65coUuXLty6dUubO1WQmKurK7lz56Zt27ZUrlyZUqVK4eTkRGRkJFevXmX9+vXs27ePK1euaLaD/nAyPDycjRs3Ur9+fUqXLp2qc5uao4sXL264r+L27dtaP4Tnm0aNGtG4cWM2bNigHRKqQ+wdO3ZQu3Zt3N3dDYeSDg4OFClShCJFilCpUiX27t3Lxo0b2bhxo6Fqrto/qHbVdbPZzKVLl5g7dy4bN26kcOHCDBw4kAIFCpAvXz7tXk/aT9gLdAF+/PFHLl++DDwa52p8nz9/no0bN9K4ceO0eTOFBPnjjz+4cOEC8OizUJ+tqkjSp08f5s2bp42PJ/lTbDYbOXLk4MMPP+Ttt98mJiZGs3uUQNdsNjNt2jS8vLzw9/c32E3pgYODA8HBwWzfvl3rs/pO+Pv74+npmS79EOITFxdHly5dOHr0qKFiLqB9Rl27dmXs2LHatdS2Lc6fP8+SJUsAY9Isi8WCn58f7du3B2QdFp5N9Ek6EsJ+3/k4Ya7yBYgwVxCE9MZeoAvw+++/8+DBAy3JFjxKyKISG40ZMwZvb+90m6P0c+jbb7/N3r17OX78OEuXLsXLy0uSCAuCoKHmpStXrtC1a1du3rwZz5fp7OyMh4cHLVu2pGTJktpZYWRkJP/88w8HDx7kwIED2mPNZrMhydHJkydZv349VatWxdfXN0U2uLK9atasyffff4/JZDKII9X/o0aNolevXobXJjwfqPE1c+ZMBg4cyLZt23BycsLR0VEThOsFugDt27fH19f3iW2r8VW6dGkaNWrErVu3tHgjeCTGiIuL4+eff8bNzY0RI0ZoYzAtzx2tViu7d+/mwIEDWl+UTVS7dm3KlSuXZvcWBEEQhLTAfo928uRJzp49y9GjR4mLi+PBgwe89NJLFC1alFKlSlG0aFGDrf2kfaQS6A4bNozo6Ghtf6r2C/oz94SKVqSHMFehF+guWrSIZs2a8dJLL4kwN4PQj6+IiAhOnTrFvn37OHHiBHFxcdp+tEqVKhQtWpSaNWuSI0eORM8Z7QW6ACtXruTy5cuGz1adl1+9ehUwVsxNb9G4/rVUq1ZNu/a///2Ppk2big9eEARBEARBeCaQE9CnRG328+TJQ5kyZdizZ492YKSv8jRlyhQWLlwIZIwwVxAEIT1JSKALxBPoJiSwTG8HT0Jkz56dNm3aUKxYMfz9/QFx8KQ1eofhhg0b+O6777h48aIm4lbZ0YF4Dkb1sz4AY+/evYSGhnLnzh169eqVYoGuenz27NkpU6YMBw8e1Pqjz0yov78IcwVByCguX75M586duX37drxgNi8vLzp16kT9+vXjZbXPli0bhQoVonz58ly5coVx48bx77//xqvcB3DmzBnmzp1LYGBgqs5tai7Pli2bdk1/kBQcHExUVBTu7u4ypz7HqLFWr149/v77b2JiYjS72Wq18vvvv9O+fXsqVKigjRn9OLFarXh7e9OoUSMaNWrEH3/8wZEjR1i+fDlxcXHAo8oW6p/ag6rvytWrVwkJCeHYsWMUKVKEtm3bUrduXQoUKJCkfcTjBLp6cZCfnx+dO3emdu3aafBOCo+jbt26DB06lB9//JGQkBBDRR5Aq6CbHIGu+tzLli3L22+/zbx587QKzHq75+bNm3z//fdkyZKFGjVqpKtANywsjHnz5gFG8WWFChV4/fXXgaQFmAipz7Rp0zh69Kj2u33lWqvVSvPmzQEwmUxalajUIiYmhm3btmmJBNTYUPNiuXLlEqwsKgjPCkqkERkZCRj3mL6+vmTJksXwWKmYKwhCZkX51BMS6OrnoYwS6CY0h7q5uXH27Fk6d+7M8uXLRaArCALwaO/0OF9mtmzZaNmyJQ0aNKBmzZrx2qhVqxZXr15l165dfPbZZ5q4QFVWUuc4GzduxN/fn9atWz+VvVuhQgXefvttvvvuOy1gXeHp6UmBAgUAZI57DtH7hb7//nveeecd/vzzT5ycnLS1WfmWrl+/zooVK4CkC3QBPDw8aN++PWfOnGHLli2GCrrKdxQVFcXKlSsxm82MHj06zQS66vt55MgRZs6cSVRUlPb9tNlsVKlShUGDBgHiRxIEQRCeDdR6pezhJUuWcPDgQTZu3Jjoc3LlykW5cuXo2LEjpUuXJl++fEkW6E6fPt0g0FVrqH2CwIyOjdMLdDds2GAQbIqfM33QjymLxcL333/Pvn372Ldvn/YYfVXZvXv3YrPZKF++PCVKlODdd9/Fx8cnwTOjpAp09eNSVXPOKNG4vUA3Li6OatWq0a1bN0DGpiAIgiAIgpD5cbDZW35Cilm/fj0jRowAMBgCKqgORJgrCELmRO/A0M9F6kBRBQQn18mhdyQdPHiQ+fPn8+effwKPgonU4+CRo0Xv4MkMc6M4eNIW/ThZtWoVkyZNIjo6Gng0TpRgQl/pTu9M1Its1HWA/Pnz079/fzp27PjU/bt9+zbt27fn+vXr8YTBqnKuCHMFQcgo9MFsqpK3Cmbz9fXliy++4JVXXtHEr487QHzw4AG9e/cmODjYsF6r+dXNzY05c+ZQo0aNVH8dp0+fpnv37jx48EA7AALw8vLi999/J1euXKl+TyHzcf/+fbp27crp06e1MajGc61atZgxYwZeXl6JPt9+/T127BgrVqzg0KFDXLx40VA1N6EqeqryhaJMmTKUK1eO3r174+vri5eXl2EPkNB3SV2/f/8+a9asMVTQ9fPzIyAggLZt2xoE6ULaoz6Xu3fvsnr1an788UeuXbsWz+ZRmcvr1q2rCVqTGmB7/PhxJk+ezMGDB+Mlc7FarTg7O1O9enUGDx6sJTJK62BGs9nMb7/9xrRp0wgPD9equpjNZrp06cJHH30ke9YM5M8//2TlypVaVWM176kKnWo+mj9/PnXq1Ek1+1SNu8OHDzNixAiuX7+u2V1qznVxcWH58uWUL1/+qe8nCBmFxWLBYrHQtGlTLSkD/PcdqFOnDvPnzweeXDFX75cQYa4gCEnlSfZCSuYQ9ZyHDx8yadIkTaALaHOV8re7u7vToEEDxo4di5eXV5rNWYnNofqkisWLF2fJkiX4+Pik+v0FQXh2SEiYm5Av8+OPP6ZGjRqauNG+wpN+Ltu5cyf9+vXTbG7lU1Q/FypUiMWLF5M/f/6n6vvff//NyJEjuX//vtYPRYcOHfj888+fqn0hc6P3C+kFuoDB/2O1WsmXLx+dOnVKskBXrZchISEMGTKEU6dOGfyWas8AkCVLFlq0aKGNt7TwKZ0/f57evXtz48YNg6goX758DB06lObNm4sIXRAEQXgmUPvGqKgoDh06xPLly9m+fbshxkf5/pSANy4uTttH+vj4UKhQIUaNGqVV80wKO3bsYPjw4Tx48EBrS++TVLi6urJ06VIqVKiQYUle7IWakngjfVDv+/379/n7779Zs2YNu3bt0uIx9FVs9cmFzWaz9pgiRYrQsmVLmjRpgp+fX4Kfn7qPxWJh0aJFmkAXHsV+6J+j9p1ZsmRh0aJFVKpUKd393497HYIgCIIgCIKQmZEdayqgDCB/f3+twiIYD2RUoKcIcwVByAyoeUv9rxwYcXFxhIWFERERQUREBGFhYZhMJoAEHR9PQu8kqlq1Kr1796Z+/frAf/Oe3nGi5kkHBwdGjRqlOR8zw9woDp60Q+9UW7ZsGR9//DHR0dE4OjoaBGHK6eju7k6xYsXIly8fuXPnBjBUsFFtqs/s+vXrrF69Wgt0TwnK+ZgtWzbq16+v9U3vNFdZLX18fFi6dKkIcwVBSFceF8yWM2dOvvvuO954441Eq9LqsVgsZM2ala+//poSJUoYKkGoOfnhw4dcuHAhTV5LtmzZsFqtWhCdg4MDzs7OxMTEcP78ecB4aCk8f6g1d8CAAbi7u2tBaGpMXL58mXPnzgEkKKwFDOuvyiA8ZswYlixZQkBAAKVKldLaVPtV/bhSB5HqEPzUqVOsXr2aPn36MGrUKHbu3Mndu3cBEjxMV9f1FXQDAgLIkycPefLkEWFuBqI+F29vb9q1a0dAQAAFChSIl+RFiRNVBV3AEOD7OMqVK0dAQADZs2cHjNWalSD24MGDzJkzhwMHDhj6ldqoefvy5cssXrxYE+YqgUTRokV577334u1thfSlfv36dOvWTfMpKltZ2SEuLi4A9O7dm7179xqSEaUUtb5fvXqVsWPHcv369XgCGicnJ959913Kly//1PcThIzEyckJV1dXQ4VcNefdu3cPk8mkBd2JMFcQhNRCn4wS/rM9QkNDuXnzJiEhIYSGhmK1WuPZNElZc1VQpaqg26xZM7Jmzao9X/nYAa2C7oQJE4iMjEyVfYQ9j0tuoF6fi4sL586d0xIiCILwYpIUYW7OnDmZOXMmjRs3Noga9Xsu/c82m426desyY8YMzZbRJyN2cHAgKiqKyMjIp+7/q6++yiuvvKLNow4ODpoPauXKlezateup7yFkXvR+oe+++4769etr65x+fXV0dCQ0NJQVK1awatUqIiIinti2sv8LFSpEYGAgefPmNZyR6889Y2NjWblyJX369OHOnTupLqD5999/6dOnj0GYq/pYvXp1Xn/9dRHmCoIgCM8Eau95+/ZtvvvuOyZNmqQJc5UQ12w2Y7FYNPs1Li7OkEjrzp07HD16lO7du7Ns2TLCw8OTdG9/f3+mTZuGh4eHwWZW/ne1fletWhUfHx8sFov2mPTGPm5PSHvU+Lp16xYzZsxg2rRp7Nq1yxA3qfad9pVt1Wfk5OTEpUuXWLBgAZ999hnHjh1L8KzRvoJuhw4d8PPzM/RDfx+175w+fTqVKlXCZDKlu/87oXEoPnhBEARBEAThWUAq56Yys2bNYtasWYYqF/DocEZllRRhriAIGYV+zjGZTBw/fpz9+/dz4MABwsLCuHDhghaw+PDhQwoXLkyePHkoWrQo/v7+5M2blxIlSmjtJSUQMakVdNVjfX19CQwMpFatWqn62oXMhX5cBAUFMXHiRABDpmmbzYaPjw+FCxemb9++5M2blyJFimAymYiNjWXr1q0cOnSIDRs2GKrXgvEwvF27dowbNw5XV9en6vOePXt4++2347UP/1Wi+OWXXyhSpEiGZbUUBOHF40nBbAsXLjSs20lB2TA//vgjU6dOxWQyaUE4yqapXbs2s2fPxsXFJdUO6mw2G3FxcXTs2JFTp04ZKgIAjB07lq5du6bKvYTMz9mzZ+nfv78mGFNj0Gaz0bx5c6ZOnZqs9vT7jmvXrrF9+3a++OILw/hNrBquvUAdoEaNGtSoUYNOnTrh6emJq6trgs/XV9DdvHkzNpuNhg0basJNIWNIqwq6ie1vE6p24uLiQqVKlRg4cCC1a9cGUlfkpfpy7949BgwYwKFDh7R9tsViwdfXl+HDh9OuXTvxS2Ug+jGzc+dOlixZwo4dO4BHay5gsHMWLVpEzZo1Uzxe1Bi+f/8+Xbp04cyZM4Ys7ErU4+/vz3vvvUfp0qVT6dUKQsagxnTTpk25cOGCIUjp5ZdfZunSpWTJkiVBUZkKXBJhriAIScF+Xjh37hznz59n06ZN3Lp1S0tyFRsbS5YsWShQoAA5c+akSZMm5M+fn0qVKiXaVkKoPVxCFXTtkwi5u7vTsGFDxowZk6oVdB8nzLWfQ/XnooIgvHgkVZibEl8m/HeeOWXKFFasWGGwa1RCg169ejFq1KgUVwNTc+6ePXsYNWqUJsyw2WyaaLN9+/Z8+OGHuLu7i7DhOSYtK+iq78mZM2fo2rUr9+7dM/iU4FGya4vFQtmyZenTpw/VqlUjd+7cifo2E0P/uNu3b7N//34mTpzIzZs3tfuq72fZsmX55ptvKFiwYLLfM0EQBEFIb9SaeuPGDT799FP279/PgwcPDPvDxM7z7NdRlajf2dmZ3r17065dOwoVKpSkfthX0FVxw3r/5FtvvUWvXr2oWLGioR/C84kam6GhoYwdO5ZDhw4RExNjOJ/Uj4/H/aw/zyxcuDATJ06kSpUqKaqgqxeP22w2qlSpwpdffknBggXlDFEQBEEQBEEQkoiIc1MJZZyYTCY6duzIyZMn4xnv6udWrVoxefJkQIS5giCkH/bOl6VLl3Lo0CE2btxoyPKsqkQBBoek+nvu3Lnx9/enYcOGVK5cGU9PzyQ5B58k0FUHi+oQ29vbmxkzZlCzZs3UfSOETIF+PCxevFgLzFLBXEqYW6VKFVq0aMFbb72Fj49Pgm3duXOHHTt28NFHH2lCB5XRUjkXAb7++mveeuutp+77559/zvLly+OJefLkyUNgYCCVK1fWxByCIAhpSVKD2VIadHv+/HkCAgK4d+9evEyrpUuXZuXKlU+d9CAh3n33Xf73v/8Z9iVWq5X+/fvz3nvvpfr9hMzLvHnz+OqrrwC0dd1qtZI9e3YCAwOpW7dustqLi4vTKlB+8cUXLFu2TBtn9lVR1f7U/iBefcfU9bJly1KqVCl69+5N/vz58fDw0NqwP8g3mUwAafK9EZJPWgl09XPuN998w3fffQc8snP07Ts7O1OwYEGGDh1KkyZNUv013r17l6FDh7Jv3z5DoKiTkxNvvfUWI0eOJF++fKl+XyF5pKdAV43dBw8e0LVrV06ePJmgeDx//vyMHDkyTcalIKQ3yj/QoUMHTpw4oQUbAeTLl4+NGzdqlQNEmCsIQmqwZcsWjh49ytKlS7HZbMTExMR7jN7GdnZ2xtXVlaZNm/L6669Tu3Zt3N3dk+Rzf5xAVx9cCf8JdBs0aMCYMWPw9vZ+6rnsccJcqTouCIKe5ApzUzpPrF+/nhEjRgCPkhQoG6dt27ZMmDDhqV/LrVu36N+/PydOnIiXTC537twsWbIEPz8/EVU856SlQFet7adOnaJPnz6Eh4cbbBgwCnRz5cpFmTJl6N+/P5UqVTLEHqm21H5Afa/s/Vp79+5lw4YNbNy4kcjIyHjC3Hz58rFw4UKKFCny1O+dIAiCIKQ1ai959epVhgwZwsmTJ4FH66e9uFGfBEOdSavHqT2dWhOdnJzo168fPXr0wNvbO0n9sRfoqrNI/c+NGjWiV69eVKhQARCB7vOKGpshISEMHjyY06dPA4/GIjyqXKt8K/bxlPZxnAqbzUbx4sWZMmUK5cqVe+z9nyTQVfevUKEC33zzDXnz5pUYd0EQBEEQBEFIAnL6mUroAzdfe+01HB0dNUe33mB/6623RJgrCEK6o5yH0dHR7NmzhyFDhjB+/Hg2bNigBYUrZ4+az9Rz1D8VaBMWFsbKlSv56KOPGDhwIP/++y/379/X7pVYzge9c6hq1ar07t2bevXqAY/mQwcHB+1A8O7du7z33nvs3bs37d8gIV1JqjD3jTfe4IsvvqBt27b4+PgYqtWpdgB8fHxo1aoV8+bNw9HRUctaCWjjG2DZsmXcu3cv0TGaVMqXLw8YHaQAYWFh/P3339pYFgRBSEvSOpjNZrNRrFgx6tWrZ5jv1M/37t3jzp07qfqa1MGSSsag+q3WhcOHD2MymZ56HhcyP+ozfu211yhZsqRhj2qz2YiMjOTQoUOGxz4JlcAD4MMPP2TZsmUA2j5XHYDnzJlTO+hUewh9AJwSV6rxeeLECX755Rc6derEhx9+yK+//kpsbKzWtn7f4+rqKsLcTIT6fLy9vWnXrh0BAQEUKFDAcPisfnZycmLnzp306dMHIJ6YW486tAYYOnQovXv3BoziBdW+2Wzm0qVLDB8+nHnz5hEVFaW1ow8ISS4mk4lTp04xcOBATZirxrDNZiNv3rx069ZNhLmZBL2tXLduXbp164a/vz9g9B2azWZtHnv77bfZu3evYbw9Cb0wt0uXLvGEuaotBwcHunfvrglzZd0VnnVcXFxwdnYmb9682jU1F8fExHD69Gn69euXoDBX/dyyZUsRlQmCkCBqHTaZTFy+fJkPP/yQDz/8kLlz5xIdHW1IIGhvV8OjRBzR0dGsWrWKTz75hB49enD16tUk+RfVXJUlSxY+/PBDmjVrRtasWbW+6e8VExPDli1bmDBhAnfv3k3WPsIeEeYKgpBU0kuYC9C0aVPKli2r/a73yVy5coXY2NinsrVtNhu5cuVi8ODB8fwCzs7O3Lx5k5kzZ2pzv/D8ov/8v/vuO+rXr2+wrZUdraqirVixglWrVhEREfHEttXeoHTp0ixatIjixYtr6ys88iGo9fbWrVv89ddfdOvWjQ8++IBly5YRGRlJXFyc5k/Q+zJV/61WK1u3bmXq1KkMHDiQNWvWGIS56sw+Z86czJ07V4S5giAIwjOBXvz49ttvc/LkyXj2uFpH1bmhh4cH2bJlw8XFRatsq7BPbGGxWJg7dy5//PEHkDTfub+/P9OmTcPDw8OQIEPthwE2btzIggULOHr0qKGfwvODfmz27NmT06dPG2LL9IJci8VCjhw5yJkzJ6VLlyZ37ty4u7tjNpvjJV3Rc/HiRaZPn8758+cT7IO6h0pU2aFDB/z8/LT+2ScvPnr0KEOHDuXGjRsGkbAgCIIgCIIgCAkjlXPTgFOnTtGxY0diY2PjHW5XqVKF5cuXZ2DvBEF40VBOk4iICJYuXcrmzZs5e/asdhCnnI569BnZ7K+rLGpqfvPy8qJJkyY0bdqUatWqac9L7OD5SRV0lbNJKug+nyRVmNu0aVM+++wzPD09k9Xub7/9xujRow3Z/JTjOnfu3KxevZrcuXM/9evo1asXu3fvNjhKlYgnKCiIKlWqPPU9BEEQEiM9gtkUU6ZMYeHChQaRoc1mw8/PjxUrViRa1TwlqPbXrVvH+++/Hy/IrVy5cqxYsUITJgkvBh988AFr167V9olqzc2SJQvLli1LNPuvHv134aOPPuLnn38GMByAq79Vq1aNffv2MW/ePO7du4fJZNL2zPpDe8AQUK8fq/7+/pQpU4Z27dpRsGDB1HszhDQhrSro6ve9kyZNYvHixQAGMSQ82kfCf4HEr776Kq1atXpse3pU/9Tfr1+/zvbt2/nxxx85e/asJsxVYmAPDw9mzpxJnTp1nup9E1KfpFTQVQkFkltB116Ye+rUKW0s2lcP79+/P8OGDQNEQCM8X4waNYrffvtNW88dHR1xdHQka9asWhC6vTDXZrPRsmVLpkyZAsh3QhAEI3q/++rVq7WKuWqeUXOJQu0t9b53/WOVb9FsNjNmzBg6deqUZPs3PSvoPk6YK1XHBUHQk57CXDUP9uzZk7179xrsZ5vNRp06dZg/f36qvK6rV68ycuRIgoODtXlbzeclS5ZkxowZFC1aVOa9F4DHVdBVZ+mQsgq6avxcunSJyZMnExwczN27d+NV/YNHvkl1/aWXXsLT05NXXnmFXLlykSNHDtzd3QkLC+PBgwcEBwcTEhLC5cuXMZlMAJrvSy8ELlWqFDNmzOCll15K1fdNEARBENICtXZeuXKFrl27cvPmTcN5jP4sr2zZspQpU4b27dvj5eUFQGxsLIcOHWL79u389ddfWrsJxbE5OTkxd+5cateuneQqtzt27GDYsGFER0cn6puXCrrPJ/qx2aVLF27dupXo2KxevToVKlSgU6dOuLq6kidPHkJDQ7lz5w6//PILR44c0XxP9ntCm82Gh4cHnTt3ZuDAgVrytsT6IxV0BUEQBEEQBCF1EXFuKqOM4q+//po5c+bEc4pnyZKFTz/9lGbNmokBLQhCmqMcKmFhYUyYMIF//vmHyMhIg8jWPmO/CqABtL/bO3PshQguLi7kzp2b/v3706FDhyf260kCXeWAUk5IHx8fpk+fLgLdZ5ykCnP1QVvJJSIigi+++IKNGzcaxrgaq5MmTaJ169YpXoOVo/G3337jiy++IDo6WguyUwfX/fv3Z/DgwYlmKxQEQXga0kuYGxcXh4uLC19//TXff/99vGyoJUqUYOXKlbi7u6fGyzKwe/duevXqpf2u5uvs2bOzfPlyihYtKnbUC4B9BmElllQH1TabTVtzgUTHe1KFuSNGjKBv377a865fv86ff/7J//73P/bv369d1x+WPkmk27t3b95///2nfzOENCe5Al19UO/jBLp6pk+fzpw5c4BH41WNIf3Y8fT0pEqVKvTs2ZMiRYqQP3/+JL2GW7ducfz4cWbPns2lS5e4e/eu4YBcjdtvv/2WN954w/C6hczDkwS6ymZycXFJskA3OcLcnj178sEHHwBIkIXw3KC+G/Pnz2fq1KmJruV6n5gIcwVBeBJqTggNDWXSpEns37+fO3fuGBJi6n2Dentab9foBTBqT/jSSy/xww8/UKhQoWT1KT0EuiLMFQQhqaSnMBf+q2Du6urK0KFD2bRpU7zkra+//jqzZ89Otdc3e/ZsZsyYAcRPeKxPeCQ8/zxOoKtPyvE0At2bN2+ydu1a1q1bx9mzZw1J2vRVzvTPsU/MnRDK56/vr81mw9vbm4oVKzJ27Nhk70cEQRAEISNIaO+ZmPixQ4cOtGvXjvLly2vrp70vfNmyZWzZsoU9e/Zoz7ePPSpWrBizZ89O1lppL9BVfdKfw4tA9/kiOWOzS5cudOrUieLFiyf4mZtMJu7cucO0adP49ddf4wl01d6wcOHCfPvtt5QoUSLRcx4R6AqCIAiCIAhC6iMnoamMMoxefvllzVBRB0lms5moqCh2795teKwgCEJaoBwp165dY+jQoWzevFkT5uoP6/TVc1Vwrtlsxmw2GwST6nn6uUtl/Y2Li+PatWuMGzeO6dOnc+vWLe0xCeWA0DuHqlatSu/evalXr57WpnLiqAPNO3fu8N5777F37960fMuENCQlwtykHBzb4+vrS7Vq1bDZbAZxuXJshoWFASlfg9XYrFq1Kp6enobM1+q78+uvv3Lnzh3tuyUIgpBapGfFXFWd59q1a8CjOVnNg3ny5Emzec7Pzw9PT0+cnZ0NwW2RkZGEh4eLHfWCoMawl5cXpUuXBv4bf0ocabFY2LhxI/fv3090LCZVmDty5EhNmGuxWLBareTPn5+uXbuyZMkSPv30U1q3bq09R1W2st8bq+sArVq1EmHuM4TaM3p7e9OuXTsCAgIoWLBgvMNn9Rnv2rWLPn36ABgCKB7HsGHDGD58uEGwoBdrqLETHR3NX3/9xbBhw+jevTszZsxgxYoVnDlzhuvXr3Pnzh1iY2MJCQnh9OnTrF+/nvHjx/POO+8wYMAArZKKvm2LxUL27Nn5/vvvRZibydHbynXr1qV79+74+/sDj+xvBwcHLYkGoFWGSij49nHCXDCO365du4owV3guUfNhsWLFABKds/VVLkWYKwjC49AnEurduzebNm0yCHP1VecsFgseHh74+vpSunRpypQpg5+fn6EtZVeYzWYcHR0ZPXo0hQoVSra9rYJ5s2TJwocffkizZs20Kin2wp2YmBi2bNnChAkTtL3jk3yxjxPmqjlUhLmCIED6C3MBXF1dAYiMjASMybAAChcubLieUtRc2alTJypWrGj4m/I3rVu3jqNHjz7VfYT042nHhN6u/u6776hfv75mc+vXV5XUY8WKFaxatYqIiIgntq18nrlz56Zr165MmDCBBg0aaGuv1WrVxp36XfkVHBwcNP+6s7MzLi4umqBI+TVVYg3lD7XZbJQtW5a+ffsyYcIEEeYKgiAIzwSJ7T0TEj8OHDiQDz/8kAoVKmhroXoMPEqs1aVLFwYPHkyzZs206/rHqCIZmzdvNsQjPQl/f3+mT5+Oh4eHZmOrc0/V/saNG1mwYIG2n7QvqCE8OyRnbA4aNIgPPviAEiVKJPqZq0q6U6ZMoWfPnoYzTPWzk5MTV65c0fzaiZ3zqH2qk5MTPXv2pEOHDpq/Su9DUq/h6NGjDB06lBs3bsRL6i4IgiAIgiAIwn9I5dw0ZOTIkfz+++8AhiqVALNmzaJBgwYZ2T1BEJ5j9AFCffr04fLlywbRgr6iqM1mI0eOHPj4+FCzZk08PT3Jmzcv0dHRXLx4kdu3b3Pw4EHi4uKIjo42OGj0ATt6p1HLli0JCAigUqVKQOKB38mtoOvt7c2MGTOkgu4zRkqFuckNxlD3uXPnDq1bt+bmzZuaA1KNoY4dO/LZZ589VbCHus+aNWv45JNPMJvN8Srmde/enVGjRiWpipogCEJSSM9gNjXPmUwmevXqxcGDB7XrijFjxtCtW7enus/jaNq0KefPn9d+V/P4lClTaNmypYjKXjD01ZTVnlaN/8Sq0+q/C2PGjGHNmjVAwsJcJbK0//7Y/75nzx5+//139uzZw/Xr17Xrqk1VLUoC0Z9dnlRBV5+0yGKxULduXebNmwc8voKufhysXbuWFStWcPz4ceLi4rT5Tc1p+rlNb295eXlhNptxd3fHw8ODiIgILBYLJpPJcAiuhJfK5nN2dqZQoUKMGzeOWrVqGV6nkHlJSgVd+O/zTqyCbnIq5nbt2pWxY8cCIswVnl9OnjxJ9+7diYqKSjDASZ+IQYS5giAkhpoTzp07R8+ePQkPD9fWZr1/HOCNN96gePHitG3blqxZs+Lj44OjoyMmk4nTp08TEhLCihUrCAkJITQ0FIBmzZrx8ccf4+XlleI+Pq6Crn11x6RW0H2SMFefAFTsIUF4sckIYa6a027evEnXrl25du2adk39P2PGDBo1avR0L06HyWRi/PjxrFy50pAAyWaz4eLiwtixY+nYsaPMg88oKfncHldBV5/oV1XQ7dixIx06dEhSBV17fvzxR/bs2cOmTZu0a2oc6oVGeuz9WoDmOwDIli0b/v7+9O/fn8KFC+Pm5pbsfgmCIAhCevO4vScY49iGDx9Ov379ntim3jcfHBzM3Llz2bp1K2A8v7HZbFSsWJGffvop2f3esWMHw4cP58GDBwafvVTQfX5IztgcMWKElkT6SejPb8aNG8fKlSvjCWkdHBzw9vZm1qxZVK5c+bFjRyroCoIgCIIgCELqIYqRNEAZHo0bN2b37t1ERkZqFSmVQbJnzx5ee+01nJ2d5UBGEIRURTlOrly5Qvfu3blx44bhYFjv4MmXLx+VKlVi0KBB+Pr64uPjk2Cbly5d4tq1ayxZsoTz588TEhKizWkqAEcdOqrKoZGRkXTr1o06deoYDvz06K9XrVoV+M+huG3bNkP7qu27d+/y3nvviUD3GSK9hLnwyBHu6emJm5ubls1PT5YsWZ7m5RjuU7p0afLnz8+VK1c0J7n6np04cYKoqCi8vb3FSS4IwlOTnsFs8Gie++uvvzhw4IB2TR3mODk58dJLLwGpfxCo5lIViKwOelRA0YEDB2jZsmWq3U94NqhatSpNmzbljz/+ADBkoT527BiRkZF4eXlp4zE1hLnw6NBRjfFatWpRqVIl7ty5w+zZszl9+jRHjhwxBOBLIPqzjX0FXUAT6Or/Dv/ZVTt37qRPnz7MmzdPs4USEuiquczR0ZFWrVrh5+fHpk2bWLFiBTExMQZhrj6AWI0fm83GgwcPMJvNWrCGGncqs7pqQ9lRao2oW7cunTt3lgCOZwy9rVy3bl3tM9uxY4fBVlYVdOPi4ujZs+f/2bvv+Jru/w/gr3tvcjMkQsQMYtUWoSiiRovaW2pEihj9WrVV0RZtVY0qiqpNtdXG6FDVaqtF1ag0SmOTECKEDJl3/P7w+5ycc3PvzU1ybwav5+PRRyO541w5zvms1+ctBXQzMjKg1WoZzCWSqVevHho1aoRjx44BUG48w4q5RGQLcU24fv06QkJCEB8fL91fRfvL3d0dTZs2RZ8+faQKO0BWH0atVsPJyQmNGjVCo0aN0LFjR0RGRuKbb77BgQMH0KFDh3wFc4HsFXQBSAFd0zamqKALwGJA11owV4SSGcwlIqBwgrlA1ljmX3/9hejoaOl74r9y5cqhVq1a+X4fwWg0QqvVYuzYsfjll19w7949xWZymZmZWL16NZ5//nlUqlTJbu9L+WPa342NjUVycjKuX7+OEiVKwMnJCbVq1UKpUqXydF7Kx4XWrFmjCOiK/oYYY799+za+/PJLqFQqDBw40OaArvgMgwcPRs+ePdG/f3/s3r0bZ8+elTYSFP0cca8WROhCtAX0ej20Wi1cXFwwdOhQPPvss2jXrl2uPzcREVFhyU34cdasWRgxYgSAnOdI5GPzAQEB6Nu3Ly5fvoyoqCjFz9RqNf755x/s378f3bp1y9XcS7t27bB8+XJFQFen00n3er1ejwMHDgCAFNC1tO6Oih5L52ZmZqa01iIv5yaQNeaj0WiwYMECxMbGShu7inPEYDBIhViaNGli9TVNK+gCkAK68v6aaQVdBnSJiIiIiLJjONcBRIejWbNmKFeuHOLj4xULfAwGA7799lsMHjzYrhNBRETyAZ6hQ4fi3r17FoO5HTp0QM+ePdGtWzcAkHY7E4M18h3vq1WrhmrVqqFly5Y4ceIEfvjhB+zatUt6XfE4+UDhb7/9hrS0NDx69AidO3fOVUBXpVLhl19+UbweA7rFT0EGcwVRNcrd3R1A1vklzlVPT08AsMuCjwYNGuDFF1/E5s2bpWpn4v1OnTqFr7/+GqNGjeLgOBHlS0EvZhOio6OlnX7lYR6DwYDAwEC0adMGAOx+jVOr1dBoNAgICMDff/8tTQgJDx48cMj7UtHm4uKCgIAAfP/99wCgWEx+4sQJfPfddxg6dKhUzVT0yd944w3s3r0bQO6DuYK5jT4qVaqE+fPnIz4+Ht9++y0OHDiA8PBwdO7cmQvRnwCODOiK9nGTJk1Qr149dO3aFe+99x6io6Nx//596bHiOi/6ZQAU1XHNfS2vdqLT6VCrVi2MGzdOGpuSfz4qeHlZNCPvKwcGBkrngjygq9frswV0N27ciMDAQCQlJWHYsGGKYC4ABnPpqST+LTVt2hTHjh2T/v2IAAWDuUSUE3FNuHnzJkJDQxEfH5+tj166dGlMnjwZLVu2hJ+fn/RccQ0SbUT5wkatVgt/f3/4+/tjwIABqFu3ruI5eWUtoCu/vuUU0M2pYi6DuUQkFFYwV7h69Sq2bdsGAIr+j8FgQEBAgF3XZIiN4cqWLYsuXbpg586dUthRr9fDyckJiYmJOHjwIF555RXFxghU8MQ9VfR39+7di3PnzmHPnj3SZmii/125cmWULVsWffr0QePGjaX7svx1rLEW0BXj3PKA7hdffAEANgd0xX1XpVLBw8MD7dq1Q7NmzZCamooDBw7gypUrOHLkCO7fvy/d4+UhDRcXF6jVatSrVw/lypVD3759UaVKFdSoUUN6D97DiYioOLAWfgSUY+Cvv/66FDq09T4nH5vv2LEjjh8/jh07dkhtAXmhgMuXL0vPyQ0GdJ9MuQnm5uXcBJQB3SFDhuDcuXN48OAB9Hq9NP6k0+lw+PBhDB48GG5ublZfmwFdIiIiIiL7UBnlW8ST3YjOyC+//ILp06cjJSVF6hiLTlaPHj2wYMECKUBERJQfudkVcOjQoQgJCZEWCdkyyGP6mK+++gpbt27F9evXFVVzxXuJie/mzZtj5MiR6NChAwDLk5fy758+fRobN27EL7/8Ir2eCOaIz1GqVCkGdIuwwgjmCvHx8ejZsyfu37+f7d777rvvon///vkesBbHeuXKFUycOBHXrl0DAEUVqgYNGmDp0qVSdUkiotwyN2kjrjE+Pj7YsGED6tata/cFM5mZmQgLC8OHH36IhIQE6XppNBrh4+ODd955B+3bt3foRMv69euxfPlyRTVJg8GA8uXL45tvvoGHhwcneQqZuJfKN4ER7TV7no/ye/bw4cNx/PjxbPd3f39/LFmyBFWqVJHe2x7BXFuOCQBu3bqF2NhYNG3aNM+vSUWP+D0/fPgQX331Fb744gvcunVL8bsXm7Po9Xq0adMGGzZsAACLAV05cZ6I3au/++47HD16FI8ePZIeI6/EJtrP8iq5BoMBTk5O0oITIKvCc2hoKDw8POz5V0I2svc1QH7NOXLkCLZv3y7thC7ve8sXH61btw6rV6/Gv//+y4q5RDKXLl1CUFAQUlNToVarpTYmg7lEZI24F8fGxmLcuHE4d+5ctoq5Pj4+WLVqFZo0aZLteTkxveZYuwaZa2dae7w4xrS0NCxatEgK6AJQ9PUBwM3NDR07dpQCuunp6XBxcbEYzBWbzzCYS0TWFqDLxzIdFcxNS0vD559/jo8//hjJycmK61vlypWxfPly+Pv7O+T69Ntvv+HVV18FkLUpl3jvFi1aSIFhKhzid56WloaLFy9i8+bN+OGHH6QAgrinimrw4nx1cXGBi4sL/ve//6FDhw6oVq2a4vVyIr9fywO6wON7szzgULFiRQwaNChXFXTlTNsbCQkJSE5Oxr179xAdHS39W9RoNPDz84O7u7v0eYiIiIojRwdzzb1XfHw8Bg8ejBs3bkgBWTE236RJE3z22WcA8jY/evjwYUyZMgUpKSnSsYvNPMTYf5cuXaSALpD/Db3IMQry3BQSEhIwaNAgXLt2TbEZjNFoRKVKlRAWFobSpUvn6vj1ej22bNkiBXSBrL6OGA8yGAzw9/dnQJeIiIiISIaVcx1EdJiqVasGX19fXLp0SeqUi47zxYsX8eDBA7i7u3OymojyJTfB3AkTJmDMmDHQarUAYPOOzaY7oQ0cOBC+vr7Yu3cvDh48iLS0NGlRkthRTa/X4+TJk9BqtXB1dUWrVq0sDhCaq6ALQFFB12AwSLtOs4Ju0VVYwVxxnly7dg1paWnSOahSqaDT6VCmTBm7VXoUx+rr64tq1arh6tWr0vkv7vOXL1/GlStXUL16dQ6OE1Gu3bhxA0OHDs12T9fpdChZsiR2796NcuXKSdXy7EFci8+fP49PPvkECQkJ0v1XtCWqVauGevXqAVDu1G9vopqF/FouFkOnpaXBy8vL7u9JuSMPyArm7uX5vceL0AwABAYG4tSpUwCguOdeuXIFV65ckTaecWQwVxwTkNXm8fX1ha+vb75ek4oeeQXd/v37w9PTE2vWrMHdu3eln4vfd24q6ApiIrtMmTLo3LkzOnfujD///BMXLlzAd999h9jYWMTFxQHIOn+BrPCE4OTkhNKlS6N9+/YICAhAx44d4enpma2SNBUctVqN9PR0PHz4ENeuXUNmZibUajUqVKgANzc3VKpUSXqsLdcMeV9Z9GcAZQVdg8GgqKArFoezYi6R0jPPPIOQkBBs3LhRGptgMJeIcqJSqZCYmIiPPvoI58+flxYqin5y2bJlsWPHDkW1XPE8W5hec2wJ5o4fPx6tW7fG0KFDpUWR5p5nrYKufF7AtILurFmz4OPjg8zMTIwcOVIRzBVjBAzmEhGgnJ+0NJbp7e2NsLAwlC9f3q7XCfFaZ8+exZYtW5CcnJxtLLNOnTqoUqUKAGV41l7jme3bt0f//v0RFhYmLYQXFbFOnDiBDRs2SONQVLDkYZovv/wSBw8exH///Sf97kWFeHmfWwRndTod0tPTsXjxYvz111/o3r07evbsafWeK2etgq44R/NTQVdOvoGbWq2Gp6cnvLy84Ovri8aNG9v0d0RERFRcFHT4UTzHyckJJUuWlL4v37w4Li4O6enpcHNzy9NnateuHT788ENFQFfMgbKCbvGR07pNRwRz9Xo9vLy80LlzZ6xfv15xPmg0GqSkpCAxMdHmcC4r6BIRERER5Q/DuQ5Wo0YN9OvXD4sXL5YG94HHnfSLFy9i69ateOONNzjoTUR5lpvBx6lTp2LMmDGK5+d2sE5MXqtUKrRu3RoVK1aEr68vtmzZgtTUVLMB3aNHj6JEiRIoV64catasafG1bQno6vV6aUKTAd2ipzAr5opBvl27duHRo0eKRRA6nQ5VqlSBi4uL3d7PaDTC1dUVEydOxN9//42HDx9K57CTkxPS09OxYsUKNG7cGGXLls33+xHR0yM2NhbBwcG4d+8eXFxckJ6ervi5TqfDv//+ixdeeAHOzs523eDg9u3bmDlzJm7fvi3d08UmB25ubpg7dy7Kly8vPT6ndoQ4ttxOEPr5+cHDw0NaVCeCE507d0b58uXz9Vkpd0zPr/j4eKSnp+Onn35CXFwcLl26hMTERHh5ecHZ2RkBAQGoVasW6tevDx8fH8Vi77xOEovX6N69O7Zs2YL79+9L55VGo8GjR4+wdu1aPPfcc1i8eLFDg7ly5j4P+/ZPFnH98/b2RtWqVREfH5/tMWJhb14CuuIcEtfUVq1aoVWrVujXrx90Oh2OHz+OO3fu4ObNm7h27Rrc3NyksHrDhg3h7e2Nxo0bw9fXF6VKlcp2XJwEL3iHDx9GeHg4fvzxRyQmJuLevXvSz5ycnODs7IyuXbuidu3aCAkJsfmaYRrQFeeOuYCu6AeJza0A5YZdDObS027AgAE4cOCAtOs/g7lElJPMzEz8+OOPOH78uKLtJypBbtmyBX5+fg69r8rblTNnzsShQ4dw6NAhuLm5oV+/fjkGdA0Gg9mArvw58oCus7Mzpk+fjmnTpjGYS0RWqdVqxMTEICgoCAkJCdBqtcjMzFRsLOXj44MSJUoAyL7hVF6Ja250dDTmzp2L2NhYaSxThCs9PDwwceJExWJ0S2NT4hqWl2tZkyZNsG/fPmn8UvTfAEhztVSwxO8xNjYWixYtwvHjx6U5PPF7FuS/M/F/eRXd3377DdHR0bh//z6GDx9ul4CuvKqZPKBrNBoRFBSUpwq64ngsHZe5sVnet4mIqDgpjKqkQsmSJdGoUSOcPXtW+p5Yi5SWlobExMQ8h3OBrIDu1KlT8ejRI+mzMKBbPFg7N1UqlcPOTTEG5enpCaPRKM0Hidd++PAhYmJiULVq1VxtIMeALhERERFR3jCc60CiA9ylSxd8//33OHfunPR9MRl++PBh9OzZE40aNSrkoyWi4ig3g4+zZs3CiBEjAOQvHAEoFwZXr14dgwYNgoeHBz7++GOLO/kdPHgQ3t7emD17ttWAJAO6xZe1YC4AhwZzhZ9//hlHjx6VFqQDWYGcoKCgbKGF/BDnasWKFdGiRQscPHhQOj/FApC4uDicOHEC3bt35yAkEdksMzMTZcuWRVJSUrZK4ACQkpKCmTNnYv78+ejevXuewq9y4p764MEDhIaG4saNG9K9XCwkc3JywvTp05GZmYl9+/bh77//RkpKitS30Wg0KFOmDPz8/ODq6op69erB29tbqnBruoN/TrRaLVxdXZGcnMxFv4VM/D1HRkbiv//+w9atW3H//n2poqepgwcPAnhc/bhevXoIDg5GlSpV8rSoTM5gMKBSpUoYNWoUli9fLt3fxQThrVu3EBISIvW7HR3MpaeDWIwZERGBcePGQafTSeM58uuuaQXd0NBQbNy40aaALoBsbURR+bZbt265Olb5ec0FGQXHYDDgl19+wW+//Yavv/5asWGPCK+IQEtqaqq0gcCPP/6I4OBgtGzZEmXKlMnxXi7vKwcGBkr3aHlAV37vBrLGIBnMJcpSpUoVLFmyBEFBQejZsyeDuURkkbguJCYmYs+ePYiJiVFsBFiqVCksX74cNWvWlPoljiBvT06bNg3ff/89tFotMjIy8MYbb8BoNKJ///5Ww0LiZ5YCumIsVQR0f/jhB/z++++4d+8eg7lElKNff/0VwOM+S0ZGhqJCrVqtxsWLFzFixAisXLkSFStWzHdfRFwX4+PjMXbs2GxjmXq9Hk5OTnj33Xfh4+ODU6dO4cKFC0hKSoLRaISLiwvc3Nzg4eGBWrVqwdXVVRrHNL2WicCttWtcv379EBYWhjNnziiumd27d8f//ve/PH9OyhtxT7p58yamTJmCc+fOKe51gvha/H7F+Ls4d8UYkF6vx5UrV7BlyxY4OztLVettGY/PbUD3yy+/hEqlylMF3ZxwnIiIiIqzwgzmyjdxkZMXJ7CHdu3aYfny5dkCuvLCGAzoFj05VcyVz8/Y+9wU/So3NzfFeJV8fqp06dJ5KtrCgC4RERERUe4xnOtAomNToUIF1K1bF//++6+0iFN0zm/cuIGzZ88ynEtEuVaYg4+AchKvfPnyGDBgADw9PbF48WJpoFCEFMWxfPHFF/D19cXo0aOtTlwyoFv8WAvmit35jEYjevTo4bBFW7GxsTh48KCiOpUQGBiIdu3a2e29BJVKhVKlSuGll17CwYMHodPppHPbaDQiISEB3377Lbp3787BRyKyWeXKlfHRRx9h7ty5OH36tOLaAjyeEElOTsZbb70F4HE10bxOvol7aUJCAoKDg3H16tVswVyj0Sjdx9955x1psZI13t7ecHFxwTPPPIOAgAD4+fmhdevWcHZ2hoeHh+Kx5ipTVKlSBbVr10Z8fDwX/RYCcS4ZDAakpKRg/fr1+OWXX3D58mUAWbtByytKiK81Gg0yMzNx9epVXL58GSdOnICvry/GjRuHwMDAfFfPbdCggVSFRfSv9Xo94uPjpaqm4p7LYO6TwXQSt6AmdeWTyiEhIUhLS1NMqJsu6JQHdI8ePZqrCrqm5AtExWuLkKV8obEcz+vCodPp8N577+GPP/5AdHQ0ACiuTfJqSfIF3SqVCmfOnMHt27fRtm1bjB49GlWqVMlVQLdNmzbS900r6MofK+7ZY8eOxZQpUwAwmEvk7++P/fv3o0aNGgDYPiAi88R1Ye3atfj777+l8IxOp4O7uzsmTpyIpk2bKh5rb+aCuaJPLtqZc+bMAQCbArp6vd5sQFfeThEB3dTUVOn15G1R9tGJyNTLL7+MjIwMfPHFF4oF2+KaoVarcfbsWbz22mv5XrAtH8scNmyY2bFMAChRogR27dqFefPmITk5OVuYQtBqtVCpVPDz84Ofnx+qVKmC559/Hl5eXqhfv74i0Cnvo4vrnvgcQ4YMwZUrV5CSksLrZCESf9fR0dEYNWoUbty4AbVaraiYK84Fo9EIDw8PZGZmQq1WIzU1VfqZfI5bPO/OnTv4+uuvUa5cOXTq1MnmMc68VNAF4JCALhERUXGUU/jR0WvjxDjAlStXpO/J24UqlQparTbf7wNkBXSnTJkiFcawpYIuFY7CqpgriN/9P//8I/W9xPd1Oh20Wi3c3d3z9NoM6BIRERER5Z7KaK/tm8gs0RmPiYlBSEgIbt68KXWMxG5FPj4+2Lp1K2rWrFnIR0tExUVhB3MtSU5Oxt69e7F8+XJFBV2xK5s4phUrVqBLly45vp58YfLp06exceNG/PLLLwAgDTwCWZ/X29sby5cvZ0C3EJkGc8XvHAA6deqEVatWAbDfuSg/Rz755BN8+OGHAKAIDOn1ekyaNAnjxo2z+Nz8Eu9x6NAhaRG8Wq2Gk5MTMjIysGjRIvTt29cu70VET4+oqCjMmzfPbEBXTPh5eHhIFXSB3F3b5IvZxAIy08VsYgGamFwUC3KBrIqlIvhj+n35PQAAfHx8ULJkSbRr1w4VKlRA69atUbp0afj4+Cgel5mZCWdnZ7z66qv47bffuJitgIm/44SEBPzyyy/Yu3cv/vrrL0UlSPnGG/KKEkDWRKA8tAs83sxl1apVaNSoUb7vv4sWLcLWrVsV7yc/Hvn5x2Bu8SauLTqdDj/99BO6du0KwPG/S2vBXNO+DZB1rRTnoGiDtmnTBhs2bACAXAd0qehLT0/H2LFjcfz4cel74r4o7pfieilfcGu6cKFEiRJo06YNpk+fjipVqtj03vL7/dGjR7Ft2zYcPnxYOgb5jv3ivb/66is0atQIGRkZdlssRPQkYPuAiKw5cuQI5s6di9jYWCnco9fr0aFDB8yaNQt+fn4Oe29LwVz55i3ydum7776L/v37A7B+bRNt7LS0NCxatEgK6ALm+1cAFCE79tGJSE5cB/R6PbZs2SIt2Aayrh1ivsRgMMDf3z/PC7ZzGsuUj0nJw7jyhfEajUa6lov+u06nU4xvif5SQEAAfHx80L59e1StWhU1atRAyZIlzR7b9evXERISgrt376JPnz54//33FX8/5Hji7zoqKgrBwcG4e/eudH6IsSUnJye4u7ujd+/eqF27Nho1agSDwYCEhAT89ddfOH36NE6dMuL0BQAAkudJREFUOpXtHiuvltelSxe8+eab8Pb2ztNYPABFQBeA4nw0GAyoWLEiBg0axIAuERE99XIKPzqyKimQ1S9OTEzE8OHDERkZqRj/NxqN6NixI1auXGnX9UeHDx/OVkFXbOYh5hy6dOmC4OBgNGvWzC7vSblTVM5NABg2bBhOnjypWMuh1+vRoEEDbNy4EV5eXnk+N3Pb3wsICMCKFStQoUIFVnUmIiIioqcOVwU6mOj0lCxZEs2bN8fNmzcVFR81Gg1SUlJw/Phx1KxZkxM0RJSjohrMBQAPDw9069YNKSkpWLt2LVJTUxVVg8T1b+fOnXjmmWdy3JQgNxV0XVxcEB8fj+HDh+P777/nhgeFYM+ePVIwV6vVIiMjQ/Hzu3fv4v79+yhTpowixJNX8oG8r776Sgrmisl2scCic+fOUjDXdIGGJWLhvK0DhRqNBv7+/jh06JBiB0Hxd2DrInsiIrmqVati4cKFZgO6YpIjrxV0rS1mE+SL0uTXTnGNFRV1xc/E4mD5Y+TXxPv37+PevXu4evUqAKBUqVJwdXWFv78/ateujWeeeQbPPvssXF1d4ezsjNKlS6Nv377SvYV9JccTf8exsbH46KOPcOzYMdy5c0f6XcorMIqJONNKSvIgN5DVNq1atSoqVKiQr0k4cXzt27fHDz/8gPv37yuqXTCY+2SRL54MDg5GeHg47t27h2HDhlmtCJZfloK55vpbXbt2xfnz56WJaNMKukeOHMlXBV0qujIyMvDKK68gPDxcuvaJ81V+jxTEtdNc1aVHjx7h6NGj8PHxwfjx421aeCu/3wcGBkrXXHkFXfl7Ao+r7mzcuBGBgYG8JhLJ8N8CEVkTHh6O2NhY6V4r7u+9evUqtGCuvN8uHpebCrqinWCtgq7pBl0M5hIRkPXv3tz/HV1RyZZgrukmcvIxKLHZlmkQVzxOfs3T6XQwGAw4deoUDAYDfvjhBxiNRtSoUQPVq1dHnTp18Nxzz8HLywt169YFAFSrVg3BwcG4ePEig7mFwNzcuWkw19PTE71790bHjh3NbvLcqlUr3Lx5E0ePHsX8+fOh0+mk8SBxjotqde3atUPfvn1zNc5prYKuGFcAwAq6RERE/0++8Ya5irmioi3guLVx4l4fFhaG8+fPS9+T983r1auneKw9iAq6pgFdvV4vtU8OHDiAZs2aMZxbCORtz6FDhyrOTXEeFNS5+dVXX+HkyZOK74tzs3nz5ihVqlS+3sfW/p7Y3CY8PBxDhw5FWFhYvt+biIiIiKi4YeXcAnT8+HGpkyIWNosFzdWrV5cm14mILLEUzDVXwamgg7lyN2/exKZNm/D1118jIyNDUenPaDTCzc0NM2bMwJAhQ2yaeM+pgq54jMFgQMeOHbF69WoHfjoyx2g0Ys2aNQgLC0NMTAwA5U7S4utGjRph5cqVqFixYq53RTd9P3FOfPfdd5g+fToAZKv4WL16dbz//vtITEzEv//+izt37uDhw4cwGo1wd3eHp6cnXFxcULNmTVSoUAHe3t6oXbs2gOyD55aOVxxLamoqBg8ejMjISEWAY+XKlejcuXOePicREWD/Crq5qTIhJjblVcHFBIxpUNe0a2kp3CuO2bS6rkqlQpkyZVC6dGkEBASgefPm6NWrFwAuZisI4u84OjoaU6ZMQWRkpPS7l58L8nPAYDDAzc0NOp1OWrgIZN335VVJtm/fjqZNm9rlWDMzMzF69GgcP35csXgNgHTOzZ49G6+88oris1HxIdpdmZmZCAkJwZkzZ6TFilOnTnVYPyc3FXOXL1+Obt26YcOGDfjiiy9w8+ZNxTVOHp5gBd0ni06nw9ixY3H06FE4OTlJv29xbvj5+aFp06Zo2LAhvL29odPpcP78eUREROD06dPS68ivX0ajEZUqVcJbb72Fdu3a2Xxu51RBV9ynnZycpP7Jli1b0LJlS14biYiIcnD16lUMHjwYCQkJisr0/fv3x7vvvgvAet87r3IK5pr2tR1VQZfBXCKSE//ub968id27d2Po0KHSRqzyfrAjKujassmgIJ+XArLGJOXvbRrmFUwDu+L/pmNiwOO5KLHpoJeXFxo1aoSWLVuifv36ir8vcjxrc+di/Nnb2xvz5s3Dc889JwVdzYXHhSNHjmDMmDGK8U0gK2BbpUoVbN26FZUqVcr18VqroCs2xxBfs4IuERE97aKiotC7d2+kpqYq5mqArH7rhAkTMGHCBACW1/Tkx7lz57Bw4UKEh4dna4PWqlULq1evhp+fn0PGB0wr6Io2tcFgQPfu3bFs2TK7vh/ZLiYmBkFBQbh3756ieIV8zGbgwIFYuHAhgMdz287OznY9hitXruC9997D0aNHFfNBAFChQgUsWbIEzZo1s0vfJKf+nugrGQwGdOvWDcuXL8/35yMiIiIiKm64GrAAtWzZEn379sWePXsAKKtlAJCqDhERmWOtYq5YbFsUgrkAULlyZfTp0wfXrl3DX3/9pZjQ1mg0SE1NxSeffIJOnTqhbNmyOb5eThV0xQAoFwgVHpVKhVdffRXu7u744osvFLvkicFhtVqNs2fP4rXXXsv1ruhy8kHt/fv3WwzmAkB8fDymTJmC27dv51itV6VSwdPTE9WqVYO3tzdefPFFlCtXDs8++yw8PDyyHadp6MLNzQ3dunXDjRs3kJqaCgBYtWoVOnXqlO24iYhyw54VdHMK5sonbsRiNQBwdXWVgj1paWmKiUd5EFNc88Xz5RNQ4v/i+yL4KZ7v7OyMe/fu4d69e3jmmWekYK74jOQ44p527do1DB8+HLGxsdI9Tl4xBHg80Vy5cmW88MILqFixIjw9PZGRkYHk5GScOXMG4eHhOH/+PJKSkqTzLTQ0FE2bNrXLvVCcK+PHj8eFCxfw4MGDbK/Zrl07BnOLMXEtyszMxCuvvIIzZ85I15eMjAwsXboUADB8+HC7VtCVt1fNBXPlm6+8//776NatGwCgX79+UKlU+Pzzz3Hz5k0AWQuPAbCC7hPGYDDgrbfekhY7iM0KxLkxdepUtGnTRlqQLfTs2RMAsG7dOhw8eBDnz5+X+kLi3IuJicHmzZvRrl07m89p0wq6gryCrsFgkBZ+ZGZmYvjw4QzoEhERWSHuj5cuXZLabWL+Tq/Xo2HDhmarMtpDTsFceUUSIGszDjFGbs8KumITEgZziUg+Pzlw4EA8evQIqampGD16NLy9vbNt6GfPCrq2jmXKr4eCPOQIQPqZ2HhAvsGWtc8uD0yKsTK9Xo+UlBQcO3YMAFCiRAmMHDkSAMcyC5ItwVwfHx989NFHivllAIrfkfxro9GINm3aYMWKFXjttdcUwWwxbp6cnIyEhIQ8hXOtVdCVV69nBV0iInraGY1G/Pnnn9LaG3MbRQv3799H6dKl7R7MTUtLw6+//opz584BULYndTodatasifLlywOw//gAkL2CrhjjZx+98KWmpkrzLqJoiXwjIJVKhXPnzuGPP/7A888/D2dnZ7uuGdPr9fj111+lqrmiDSnOzRo1akjzVPY4P6z194Csgiryc5Nr5IiIiIjoacPKuQXsyy+/xFtvvSUNrmdmZqJRo0bYsWMHXFxc2GEmIrPEtSEqKgqDBw/OVjFXTAQDhR/MlTtw4ABmz56N1NRUxQ6CYjBoxIgRmDp1qs27w5lW0N28eTN+/vlnAECfPn3w/vvvAyj8z/00cuSu6HKmwdypU6cCgPTvQU6+qEIcg/zfirzihTgnzVX79fPzQ7ly5dC0aVM0atQIvr6+qFOnjhREk7t48aIUJlu9ejU6duyY7biJiPLKtIKuvOKeLRV0c1rMJt/ow9fXF9WqVUPv3r1RqVIleHt7o0SJEkhOTsbt27eRmpqKf//9F1evXsXt27dx/vx5ODs7Iz09XXHM8kXMptVN5cFdeTUe+T2d10/HE/fwq1evIjg4GPHx8dLvTdwfXVxcUKVKFQwYMAAvvfQSypcvb7Wt9dtvv+HMmTPYuHEjfH19MXfuXDz//PN2Pe7bt29jypQp0k7V8nbAM888gx07dsDLy4vtwmJKr9dj+PDhOHnyJJydnRWVvUVAe9q0aXbr91iqmCsCl/Jz7P3330efPn2k49RoNEhISMDXX3+NnTt34tatW9LEu3wSnhV0nww//PADlixZgpiYGMVCB0DZ/geUv2P51z///DO2bt0qLZoQ54h4vTVr1qBNmza5Oi5bKugCUJzXDOgSERFZJ8Iy8qqL1apVQ1hYGEqUKGH397MlmCuqN1aqVAlxcXHIzMw0O+4O5K+CbkpKivSZueiX6OkmDz8OHToU9+7dAwD4+PigR48eGDt2LEqXLi09zp5zRTlVzJVf87y8vODr64sOHTqgevXqcHFxgVarRWZmJq5du4b4+HjcunUL//33H1JTU6XPIcgDk/KAr2k1XdH3km9M27t3byxevFh6PMcyC4atwdzNmzfjmWeeyfXrp6WlYfHixfjiiy8UG1GK83vkyJGYOXNmnn/nrKBLRESUs8TEROzbtw+LFy+W7p2i/Scf9x4xYgRCQ0Ph4+Njl/cV9/dDhw5h+vTpSE1NVWy0qdfrUb58eXz++eeoVKmSw9uAhw8fxrRp05CcnIy+ffti0aJFANhHL2wXL17ExIkTERUVpejjiH6DWq1GzZo1MWPGDLRt2xZA/vsL4nd++PBhTJ482ey56ePjg23btqFGjRp2P0dM+3tfffUVrl+/DgCKfhHPTSIiIiJ6GjGcW0DkHauRI0dKu6jKg7lcmElE1kRFRaF3795ITU1VBHOBrAnhCRMmYMKECQCQq8CjvcmveR9//DFWrVoFQFlBymg0omnTpli/fj08PDxsHoCSP+7vv//GsmXLULZsWaxYsQIAB3gcTf73n56eDhcXF0VQwpEBXWvBXLHA3FKlSPF8c48xXVwh/i8Wu5kGfjw9PVGzZk2ULVsW7du3h4+PD5o3bw53d3cAwJo1a1CrVi107tw523ETEeWXaUBXfm+1FtAVVXRsWczWs2dPDBgwAE2aNIFWq5Vew9q17PLly3j48CF+++03xMXF4Z9//kFcXBwePXokHZsIAJtW15UHc7not2CJv+Po6GgEBwcjNjY22yI2Ly8vvPLKK2jbti0aNmyY7bnyc8P0fn7ixAkkJCRIVeTtbd++fZg1axYA5T3cYDBg2LBhUsUoKn4uX76MN998E5GRkUhJSTF7rbNXQNdaMNc0fCkP5so3GVCpVHj48CG+/vprfP7554qArnh9BnSfDCIoAyhD2x999BFeeuklq8+Vn6P79u3D2rVrcePGjWxV5mfPni1V/84NWwK6KpUKTk5O0vm9efNmBnSJiIjMSE9Px+DBgxEZGSl9z2AwoE2bNli9ejWcnZ3tOvZuLZgrDwPpdDq0bt0a8+fPx969e7F+/XpFQNd04628BHTff/99fPfdd0hOTmYfnegpZy78KAKvRqMR5cuXR6dOnTBu3DhFYNAec0W52WTwpZdeQteuXdG2bVtpnsaS5ORkZGRk4K+//kJsbCyOHTuG6Oho3L9/H4mJidLj5JWhxGcCIG32yrHMwpXbYG5efzfff/89pk2bBiD72GP//v3x7rvv5utzWAvoio05xOdlQJeIiJ5WycnJCAsLw5IlS7Kt35F/PWLECIwcORJly5bN1/uJ9ujp06cxevRopKSkSO1Q+Vz8lClTMHTo0AJrA/7000/4/fffsXDhQgBsexYVFy5cwKRJkxQBXdM1dLVq1cL06dPzHdAV52Z4eDhCQ0Px6NGjbOemu7s7xowZg9DQUDg5OTlkrZq8v7d161Z8/PHHaN++PZYtW6b4ORERERHR04bh3AIkOlaiem7jxo2xbds2BnOJKEdGoxG7du3CW2+9BQDZwoLycO7gwYNRunTpQh/oEIMtCQkJmDZtGo4cOZJt4hJAnhYeyweqrl+/jmrVqinekxxD/ve+a9cu/Pvvv5g8eTK8vb0dHtC1NZgr3lteFVe8t6WfmQvnmr4nkBVck1d/FIvcxa7bL7zwAoYMGYLy5cubfQ0iInvIbUBXXtkxp8Vsw4YNwxtvvKHYmT+nxbvmrnVxcXFITEzEuXPn8PfffyM6OhqnTp0CAEV1XXnwjYvZCpb4O759+zbGjh2LixcvSueFCG75+Pjggw8+QNOmTeHq6grAtnubucdY+53mtT987949TJkyBadOnVK0Q4xGI/z9/fHBBx/Az8+P9+NiKiIiAuvWrcPRo0eRnp6uuNYBj88zZ2dnTJ8+XepP5PbakVPFXPnX5oK58mPJTUA3MDAQGzduBMCAbnFy4MABTJ48GYByV/5JkyZh3LhxNr2G/Nx57733sG3bNuncFvdDsbt4Xu6FOQV0RT+IFXSJiIisO3v2LAYOHAgAijbdlClTMHbsWLu+V24q5rZs2RJbtmwBAFy7dg27d+/Gli1bpICuTqfLtsFMXgK6b7zxBkqUKMFFv0RPMWvhR/mGAc7Ozti4cSNatGhh9vl5mSsSG8PaMpYZHByMmTNnwtnZWbpumo5Xiq8tzUFlZmbi0qVLiIyMxLVr13D06FE8evRIOl7ByclJ+lwcyyw8BRXMFfr164fz589Lc/FiPKB58+bYsGEDnJyc8rVhByvoEhER5cxSQNe0/5vfgK5oL0ZGRiI4OBjJycmKza5FW/TFF1/ElClTpLVqBY1tz6KlIAK64ty8cOEChg4davbc1Gg0CAwMxMyZM1GrVi2HfFZB3t87cuQI2rVrp/g+EREREdHTiC3hAiQ6VM899xw6dOjAYC4R2UylUqFr166YM2eONMgov26IgY3Vq1djw4YNiI+PL6xDlYhj8vT0RGBgIAAoJhPF1+fOnQOgDEjmRF5ZSAx2igEucgz5wODWrVvx5ptv4scff8Snn36K+Ph46Xci3018+PDhCAoKgp+fH4CsSWT5YyMiIjBp0iTcuXNHscDd0nubBnPFgLuoxCier9fr4erqCjc3N7i4uECr1UrVpnU6nRSuFeeM6Y6B5gZCxW6D4twT57CTkxMuXbqES5cuwd/fXwrmAsjVYCoRka2qVq2KhQsX4tlnn5UWhckXm6nVaiQnJ+Ott97Cvn37oNFokJiYmONitpEjR2LOnDmKa5e1e6u4DsofL66vPj4+qFmzJnr16oW3334bGzduxLfffovNmzcjNDQUPXr0QNmyZVGiRAnodDr06NGDi9kKmFqtRnx8PBYsWICLFy9K92GNRoPMzEyULVsWW7duRevWraVgLmDbvc3cY2wJ5u7atQupqak2fwYfHx8EBAQowulicec///yDo0eP2nzMVHSI36e/vz9effVVtG7dGi4uLoprHfD4nMrMzMTSpUulgIJ8E5Wc5BTMFSF1wHowF8g690qVKoUBAwZg8ODB8PX1zbbYWEyOHz16FKNGjZLeR77xEhU94pwMDw+HWq2W+h4qlQo+Pj5o1aqVza8l36hq/PjxqFmzpnRuiO8/ePAAgPV7sLXXF8cbGBiIkJAQaVGECPeoVCpkZmbC2dkZADB8+HAcP348V/9+iIiInnQJCQkAIN33xf3VxcUFQO7Gsq3JazBXr9ejevXqCAoKwvDhw6VxUnG88tedM2cOdu/eDSDnPr7BYICrqysWL17MYC7RU8xa+BGAdF0CgMmTJ2cL5orH2DJXJO+bT5o0CdHR0XBxcUF8fHy2sUwge3W0uXPnQqvVSv10c+OVpj+TEwHj+vXro1+/fpg2bRq2b9+OL7/8EqtWrcK8efMQGBiImjVrSsfOsczCU5DBXHHOlSxZUvqevE+v1Wrh4uKSr2AuoDyn16xZgxdeeEF6b3k/XWyy+MUXX+Crr74qEmsBiIiICoqHhwf69++PGTNmKNbMiTVCov+7efNmbNq0CXFxcbl+D3n4UQRznZ2dFfdlAPD19cXgwYMLLZgrPxYqGurUqYOVK1eiatWqUnvRdA3d5cuXsXTpUvz+++8AlHM5OTEXzDV3blaoUAHDhw93eDBXvKfo7zGYS0RERET0GCvnFjIGc4koNyztBghkn5DOz26A9iIWLKempqJfv364du1atgEod3d37N27F1WrVi3UYyXLTIO5ixYtkn7m4+ODHj16YOzYsShdurTdK+jmVDFXvhOmWq1G9erVERgYiGeffRb169eXwmdqtRrR0dG4ceMG7t69ixMnTiApKQnXr19XhCHE8Yiwm6XquuLP8n93q1evRseOHR3yOyAiMseWCrqenp6YOXMmtm/frqiMai6YO3PmTAD2nTgR13FzYbbbt28jKSkJERERGDBggN3fm6xLS0vDjh07sHHjRjx48EBxT/Xx8cH27dtRvXp1h/5O5P3hqVOnYv/+/QgKCsIbb7yhCASbI69UOnz4cERGRkrnmji3q1atirVr10oLKKl4ioiIwNq1a3Hs2LFsFXTFtc7JyQnTp0/H8OHDAeR8LbEWzBUbv9gazJXLbQXdNm3aYMOGDQA4PlTUJSYmonfv3rh9+7ZiQ4xu3bph+fLluX49o9GIlJQUhIaGIjw8XPGa7du3x7p16yw+z5YNB+SPO3LkCLZv366ooCs2HpKf66ygS0RElHUP3bt3L15//XWpjSjGDBcuXIiBAwfmusKJOXkN5pq2G6Ojo7Fr165sFXQB5djl8uXL0a1bN5v/Dky/JqKnQ07BXHllstdffz3Hfnhu54qaNGmC+fPnY/r06QU6lmltDFOMu4aHh+Pq1au4c+cOJkyYYLf3JtsUdMXcjIwMaLVaTJo0CQcPHpTOUXGeWOu750VuK+i+/PLLCAoKYgVdIiJ6qphbM2eurZjbNXOWwo+ma5K0Wi2WLFmCl156yZEfk4opR1TQtXRumvbPNBoNlixZIo37cDyHiIiIiKjgcdVfIePCSyLKDbEbIIBsAV2xG6BOp8PmzZsBoNADumIhkZubG3r37o2PPvpIGhgyGAzSYGZMTAyqVq3KwaEiyFIwVwz23bt3DwcOHEBKSgqmTp2KUqVKAci+KzoAadGFfELcdFd0eUBXpVJJjzMXzAWyKpo5OTlh5syZaNGiBerWrSsdv/y9/Pz80KZNm2zvGxMTg4iICERERODBgwe4cuWKNIAPQApTmFb2lR/HqlWrpGAuz2MiKiiigq65gK6Y8ElKSsLbb78ttRPMVZmQL2aTb5BgD+J6KF/YK/5coUIFVKxYEbVr1wbAxWwFRfyOL168iP3792cL5np7e2PNmjWoXr263c8HOdOF6Pv37wfwuL1gNBoxZ84cqwFdcU65ubmhWbNmiIyMlD6DOM/v37+P//77DzVr1nToZyHH8vf3x//+9z8AyBbQFdc6nU6HpUuXAnhcBVS0Ra0tDDYN5up0OunfQl6CuUD2CroApIAuAMVxaTQaHDlyBKNGjcKGDRsUu71T0ZOYmIiMjAzpXiquN/Xq1QOQ+3C1SqVCiRIlUKdOHYSHhwPIWkRRunRpi69neg5aOs/li8rbtGkjPe/w4cPS8ev1eqlKVGZmJoYPH86ALhERPfXEPTM5ORlAVtU80w387DH2ZymYK+7DtgRzAaBKlSoICgqCwWDAtm3bkJmZKd3r9Xo9XFxckJ6ejkOHDqFz587QaDRWj99ctUkiejpYCj/K52NyE8wFcj9XdObMGQQFBSEtLa1AxzJNxzBNf6ZWq9G0aVM0bdpU+j77TQWnoIO5wOPKuACQkJAAIKsNIN5PbDptrzlB+bjQmjVrFAFdEXAX7YPbt2/jyy+/hFqtxoABAxjQJSKiYsn0fm3L/dsRa+asBXMB5eY08+fPl4K5XBdEpkQFXRHQFee0uQq6ANC2bVuLGwQB1oO5poH0hQsXMphLRERERFTIOFtARFTMiMHGGTNmKCbqjEajNNgIAJs3b8amTZsQFxdXqMcrJsWbNWsGo9EoLXoHHg8kZWZm4s8//wTAxT5FjaVgrgjEqlQqODs7486dOzh9+jQMBoPi+aaLLoKCguDn5wcga5dn+YIzEdC9c+cONBqN9HqWKuaKr8VEdUhIiBTMFc+1FMgQk+j+/v7o0qWLVFVyx44d2LBhAxYtWoQXX3wRAQEB0mCpGODUaDSK0MaqVavQqVOnbH9nREQFQQR0n332Wanqt7j2yXdiFRtmAMpJREcGc80R137xtRwXszmeuI8Bj+/t58+fVwRzPT09MXv2bPj7+ysea2+WKkQ5OzsDAL766iu8++67SEtLy/G1XFxcMHDgQLi4uEgBdeDxef7o0SNs2LABaWlpDOYWcyKg27p1a7i4uCgqhsgDusuWLZOCC6ItKmctmGs6kZ3bYK5gGtAdPHgwfH19s1UDEv/Gjhw5gtDQUADKxcZUtFy6dAn3799X9CWAx2EYALm+xohzMykpSfqe+N03b94cTk5OSE5Oxm+//YbNmzfjww8/xNtvv40PP/wQhw4dwtmzZwFAsZDdlDgXASAwMBAhISFo164dgKx7vujniOvv8OHDcfz4cbP/foiIiJ4mov8s7rWiLSg2XZG3B/Lj3Xffxffffy8Fv0Q719ZgrlClShUMHjwYY8eOVYyrijkDAGjUqBGcnJw4dklEZlkL5qpUqjwFc4XczBWpVCqkp6dLY5mi71xYY5lAVn/P9NrPscyCURjBXDGGExsbi5iYGEV7QJyLIqhtz/uq/N/ZmjVr8MILLyjG9MU5KAK6X3zxBbZs2SJtKkJERFRciPt1bGwsfv31VwCQ1uXkxJ5r5nKqmGsafuzbty8Argsiy0RAt2rVqoo+jrmA7u+//w5AOZcj5BQaNz03+/XrB4DnJhERERFRYWI5DiKiYsjSboCi8k1Rq6BrNBpRv3591K1bFxcvXpS+Jzx48KCwDo0ssBbMFVVtRUDV29sbq1evhre3d7aBvrxU0J04cSI++ugjVKpUCd999x2mT58OwHLF3C1btkjhb/He1ibezf1MDGyWLl1aqq7bo0cPODk54d9//8WdO3dw/Phx/Pfff7h9+zZiYmIAACtXrmQwl4gKnaUKuqbhNfkCXwAYMWJEgS9mo8Ilzoe9e/fihx9+kM4JMVndtWtXtGrVSvFYe7MUzBWL20Q79quvvgKAHCvoGgwG1KlTBwMHDsTOnTsBPD7fDQYDnJyccOXKFXzzzTcICgrivbqYs6WCbmZmpsUKupaCuabtSyDvwVwhtxV0jx49qqigy2ty0ePs7KzoR4jFsfHx8QByf81Uq9V49OgRLl++LH1PpVLBx8cHMTExWLNmDfbt24dbt25lC2yr1Wq4urrihRdeQJcuXdCyZUt4eHiYPW/ku64HBgZK/XBW0CUiIjJP3DfFWLp88ysAuHjxol37Fc899xwOHz6MmzdvSiEj0TeyNZgrVK5cGQEBAdkq34p2i5eXl12OmYiePNbCj4Byo7/cBnMFW+eKTDm6Ym5ucEyp4BVGMBfI+l3/9ddfiI6Olr4n/itXrhxq1aqV7/cxx5YKumKzjZiYGKSmpsLDw8Mhx0JEROQI8vv7oEGD4OPjA51Oh06dOlmtIipnjzVzuamYu2DBAgwcOFBx/ESW5LeCLs9NIiIiIqLiia1xIqJiytxugGIiuqhV0FWpVHB3d0e5cuVgMBiknfvFgOqlS5cAINuiYyoc1oK58qpimZmZKF26NHbu3Inq1atLoV1Tua2ge/bsWUyfPh2fffaZ2WCuvGLu1q1b0axZM0UALS9MF3GIQVEAaNCgATp27Ii5c+fis88+w2effYZPPvkE27dvR+fOnbP9nRERFQZzFXTlu+mLCR2xKHf8+PGYNWsWAAZznyaiQuKxY8cUG6UYjUa4u7uja9eu8PHxcdj7WwvminNT3o61pYKuuF8/++yzUjtTnM86nQ6ZmZk4evQoAPM7D1PxYmsF3aVLlyoq6GZkZFismAsoF/vmN5gr5KaCrpOTE44cOSIFeXlNLnr0er2ikqwIzoiNpsQ1zBbidWJjY5GUlKSowhQXF4ewsDBs3LgRN27cAABpYyQR5jYajUhNTcV3332Hd999F3PnzsW9e/cUVfLk5Ne+Nm3aYNiwYaygS0REZIFo+4l+kXy8WqVS2b0yXceOHfHmm2/C19dXeu+8BHPFvd7NzU0x3go8breULFkSjRo1suuxE9GTIadgbn4q5pqyZa4IyKpaKvopwOOxTG4y+HQprGCucPXqVWzbtg0AFPdhg8GAgIAAh4VzxftZqqArxv71ej169+6NOXPmAMhe2ZmIiKgokt/fhw4digcPHuDq1avYsmULfvzxRwCQ1g7lxNqaOXk/2tyaOfFYW6qSLliwAEFBQYrjJ8pJXivoZmZm8twkIiIiIiqm2CInIirGzA02Ojk5SeGbohLQFQOn5cqVA5C94kB6erri+1R4bKmYKwb+RDC3WrVqOS6GyG1A9++//8bChQsBWA/miiCOvc8dUUlQfA1kLbivWLEi2rVrh+bNm2f7OyMiKkymAV29Xq+oKgk8vqZptVo0bNgQAKTH0NNBpVLhn3/+wTfffKPYfRcAhgwZIlXNdQRrwVz5JLtpO9aWgC4AdO3aFd26dQOQdc8W5/aPP/6IvXv3AmCVkydBXgK6Wq0W//zzT4EFcwVbArriccDjKqwZGRn5ek9yjDJlysDNzU1x3TIajfjxxx+RnJycq4Xh4ve+f/9+3L59O9s16/bt23j06JFUEUdcF8XiW/m5c/v2bRw4cAAvv/wyrl27ZvGebhrQDQkJMRvQzczMlAK6I0eOxLFjx9hOICKip47RaISnp6f0Z3lb8+TJk/jjjz/s9j7A43vzW2+9hapVq0Kv1+c6mAtkjb8fOXJEUZFFvIanp6c0Nk9EJBRExVxTtgZ0gaxKpWXLlkVoaCgAICMjg8Hcp4Clc1OEFRwdzE1LS8Phw4dx/fp1AFljjQaDAZUrV8bIkSOlPzuKtYCuwWBAr169sHjxYunPHPMkIqKizvT+fu/ePbi4uECv1+P06dPYsWMHfvjhBwC2rx2ztGYOMB/QvXv3LgwGA5ycnBAZGZkt/KhSqRh+JLvJTUD38OHDAB6vieO5SURERERUPLFVTkRUzOV2sLEwArpiQtDb21vxZ7FAyN3dHQDDuYUtp2CuacXczz//XKqYa8tiiNwEdIGsgKxOp1OEgh0dzLXE0mfkhDcRFSXmKuiKIJGQkZGBGTNm4JtvvpEq/3Fn/SefuL/+/PPPACBt6KLRaODj44P27dsDcEyVhZwq5oo2gLy6k/w5OQV0xTG3bdsWrq6u0vNEu0OlUuHIkSNITU3luf6EyE1ANywsDNeuXcMrr7wiBXPFxi/yhcb2DuYK1gK6oiJqZmYm/P398cMPP0Cr1bJSaRFUqVIluLm5SeeLuL/Gx8cjMjISQO6q50ZEROCnn34CkFWBR5wTarVa6uM4OTlJ10snJyfpOim/djo5OeHWrVsYMWIEIiIiLB6L/H4fGBhoNqALPL7+in9X06ZNQ3R0dK7/voiIiIozlUqFevXqoXHjxlK7TPSd1Go1rly5AiB3935L7yMP6M6cORM9e/bMdTAXyBq3/O+//xTHJr7foEEDuLu7s51JRJLCCOYKOc0ViT6QuEbGxcVhxIgRuHnzJrRabb6vv1S0mVbUMz03dTodvL29ERYWZvdgrrhPnj17Flu2bFFsxiX+X6dOHVSpUgUAsm2MaW+mAd0XX3wROp0OvXv3xgcffCAdM+fXiYioqLPU9hQbr6hUKpw8eRJr167FjRs3cvXauVkzt3nzZqhUKly4cAHBwcHZqpLK28AMP5I95CagGxERgVu3binOTXP9M56bRERERERFE1vmRERPAHODjfKFtYUd0BWVfq5duwZAGcSU44R64bEWzBUDfPKKuZ9//rlNFXNN5WZXdPE9AFJoobCCuURExYm5gK78vqtWq5GcnIwFCxbg+++/BwAGdJ8CarUa6enpOHLkCICsdpder0e1atUQEBAAwP6bTuQUzBUhNKPRCGdnZ2nRu0qlsjmgK465c+fOqFq1KnQ6nWIhp6huefHiRZ7rhcxaGEAefLCFrQHdt956Cz179swWzHVkxVxT5gK6lStXhl6vR2ZmJho1aoTt27fDxcVFOn+p6DAYDChVqpRUdV6+scW9e/fw+eefS9+35fzNzMzEH3/8kS3YI9+sSPwnKuYajUbodDrFNVKcp6La+J07dzBp0iRER0dDo9HYFNAdNmyYIqArwsDp6ekoW7YsevTowapURET01DEajcjIyED58uUBQNG3MBgM2LFjB+Lj4+1yj5Tfm1988UUsWbIEQO6CuUJ4eDhOnTqVbdMjANL4ANuZRARYr0oKODaYK9i6mavo3//zzz+YOnUq7ty5Y7G/Q08GtVqNmJgYBAUF4d69e9BqtVJ/WPDx8UGJEiUA2G+jQTFOGR0djblz5yI2Nlax+aVOp4OHhwcmTpyI0qVLS88zN98NZI1z5XdjDPn41ccff4zXX39dUTGX93YiIirqctoURt4v7tu3r9QmzA1LAV3TucbNmzdj9uzZGDJkCKuSUoGxJaB75coVzJgxAz169FCcm6KIBs9NIiIiIqKij61zIqInRFGuoKtWq6HRaPDw4UPpe2KQCXg8EAWwAmlhsSWYa1oxNy/BXCG3u6KLhehOTk7Ys2cPg7lERDawFNAFsu7BycnJeOuttxjQfQqI32tERASioqKkdqG4j4uqueK+by/WgrniXi4Wt7Vo0QJLly5FpUqVpI1mchPQ1ev1cHd3R2hoKNzc3KRFmgaDQWrHfPLJJ0hKSmKbs4DJFyGK0F9iYiIiIiJw6tQpREZG4tatW0hMTASQ1SewZfFiTgFdcQ6J80gezBVfOzqYK5gGdIcMGQI3Nzc888wz2LFjhxTMzW0IgxxPXKvatGkDIOtaKa6h33//PXbs2AHAep9WXIt/++03fPLJJ4pNtTQaDQwGA1xcXODl5YVhw4ZhxowZ2LhxI1atWoUFCxZg0KBB8PPzkxYli+uo2AxLBHTHjx8vBYbM3ddNq/TJA7o6nQ56vR6lS5dGnz59MGLECFSqVMkef41ERETFhkqlglarRZ8+faDVaqUNf0TfIjY2Ft98843dgmHm2g95aRNeunQJycnJ0rGKxcVeXl5o0qQJAPsFmIio+MopHCHGaQDHBXMFWwO64r0jIiIwadIkBnSfAr/++iuAx/fIjIwMxb1SrVbj4sWLGDFiBG7fvm2Xc0H0z+Pj4zF27FjcuHEDTk5O0Ov1ij73u+++Cx8fH5w6dQqfffYZ1q1bh7Vr12LTpk34/PPP8e233+K///7DtWvXkJSUJB2vnLhP54Z8vtaR/yaJiIjszdqmMGIjSnnbc8SIEQDy1ne1tajF3r178ejRI8X9lVVJydFsCehGRUUhNTVVmsNkaJyIiIiIqHjhij8ioieIGGwEgCVLlkgDjPIF6TqdDps3bwYAjBw5EmXLli2QYzt69CjCw8OlCVSxUB4AnnnmGQDZJyjJ8XIK5orBPnsFcwXTRRcAsGvXLty4cUOxyFzOz88P1apVA8CBRiIiW4iA7rx583D69GmpGqNYWCwP6AJA9+7dpUkghhefLOL3ef36daSnp0vfFwvX6tevDyBvC8AtsbVirk6nQ8uWLbFlyxbpmN5//33cuXNHWgQnb8d+9dVXAIA5c+bA1dVVej/RLqlbty5Kly6N1NRUaTJdtClOnz6N27dvw9PT026fkywT1xLRZgsPD8elS5fw5Zdf4sGDB7h16xaArI18fH190aZNG7Ro0QJt27ZV/H6tEQFdADh27BjS09PNtiX1er2ibQsUXDBXkAd0+/TpA29vb3Tr1k2qAsNgbtEkzo2OHTtiz549iIyMVCzW8fLywp07d5CZmQlnZ2eLr6NSqXDixAlMmjRJ2u1c9Kt0Oh0qVaqEkJAQPPfcc6hXr57Z10hOTsamTZtw7NgxhIeHS8/X6/XSYuGLFy9izZo1mDFjBlxcXCwei/hcbdq0kRa9//bbb/D09MTAgQMxaNAgBnOJiOipVq5cObi6uiIxMVHaSEPc/3/99VcEBQXB3d29SIxTxsTESH0qcazA436Zn58fGjZsCICbYxI97XKqmAtkjRWNGzdOmrvJ73yQNbbMFcmPXQR0V65ciQoVKjj02KjwvPzyy8jIyMAXX3yRbd5QfH327Fm89tpr+T4XxHhMQkIChg0bhqtXryqCuUKJEiWwa9cuzJs3D8nJyRYDtlqtFiqVCn5+fvDz80OVKlXw/PPPw8vLC/Xr11dU2hX9clvaEqZjRoXd9iAiIspJTpvCyEOH9toUxtKaOTF+Lr8Hi3Yvw49UUERAd9KkSYiKilK0ceXjNfJzU/TVeG4SERERERV9bKUTET1hLFXQNa08VlAVdMXE5cWLFxUT/GJhvLe3Nxo3buzQYyDzrAVzTcMLpUuXxs6dO+0SzBVsqaArf+yVK1cwZMgQxMTESMdIRETWsYIuyV29ehUApLahuNeXK1cu1xUbrMlrMNdoNOKFF17A3LlzUaFCBUUFXRE6A6xX0K1Tpw6GDh2qOA5xPrdo0QK1a9e22+cky+TtzJs3b2LNmjUYM2YMFixYgH///Rd37tyRzgPR3rx+/Tp27NiBWbNmYciQITh8+DBiY2MVr2mJtQq6gDKEIPokH3zwQYEGc+XHYjQa4e3tLVVjk5/fVPSIc6NChQqoV6+eospNQEAAQkND8eqrr1oN5gJAamoqvvvuO6kigOgL6XQ6VK9eHWvWrEFwcLAUzDWtpqPT6eDh4YHx48djypQp6Ny5MwDlQnmxiOjUqVOIjo4GYLkKtfx+HxgYiCFDhqB79+4ICgrCyy+/zGAuEREVa+bajrnt5zZs2FBa1CvGIcV45V9//YUVK1ZI3yusPrQ4rosXL+LBgwdSwAd4HNLVarXo27cv1Go1x1KJnnI5hSPkG+u6uLigVKlSuHv3LgA4PPzKCrokJyrVh4SEOPxckAdzhwwZgitXriiCueL91Go1EhIScPToUSQmJsJoNMLZ2VkaW3V2dpY2nzMYDEhPT8elS5fw008/YdOmTRg7diwGDRqEkJAQTJ06Fd988w3Cw8MtVtc1GAwcnyciomItp01hHBHMFSxV0BWbVwtinpzBXCpI1iroivNTtEMZzCUiIiIiKl5URo7qEhE9kZKTkxEWFpatgi6gHOgcMWKEwyvoRkZGIjg4GMnJydLEpBhkevbZZ7Ft2zbubF3AcqqYC0AaHLdnxVxzxOChXq/Hli1bpF3RgazFbWJg3GAwwN/fn7uiExHlUlRUlNkKugCke7KHhwfmz5+P7t27AyjYsBo5ntFoxMSJE/Hzzz9Lk3xqtRpeXl746aef4OHhYZf3yWswV15xMiMjA7///jveeecdRQVdAIpqlX379sXChQul9xPnbGRkJKZOnYqoqChp9+vevXtj8eLFADhx6Wji79dgMGD37t04cOAAjhw5AgDSuSACA/LrkGgPivaoj48Pnn/+eQwePBj+/v7S461dlyIiIrB27VqzFXTFc41GI3r06IGlS5cCQI7VTomArPMnOTkZgwYNwuXLl9GzZ08MHToUDRo0gLOzs03XlnPnzuGdd97BmTNnoNVqkZGRgWrVqmHbtm0oV66czccBAFeuXMGKFSvw008/AchazCv+fY0YMQKzZs3K1WveuHEDnp6e8Pb2zvF5RERERYmldqK8LWh6n7bWthT39cOHD2PWrFlISkqSNs4Q4Z/SpUtj9uzZ6NWrl/0/kA3kxx8SEoITJ05I7V/RtnZ3d8fOnTtRt27dQjlGIioacgrmAlnXS9Gf9/DwwMiRI9G/f3+UL1++QI+Tc0VPD/kYkrn/O/JcsCWYK7/Xmms3yMe15Muu5CFiEQaSfzbx+Bo1aqB69eqoU6cOnnvuOXh5efGeTURExZ61tqfRaHRoMFfO2po5+X3eaDRixowZCA0NBQC2K6lAXLhwQaqgK9q18jEsITg4GHPnzgWgnIMnIiIiIqKih6tRiYieUNYq6MorM23evBmbN292WAXdBw8e4KuvvkJaWpoiWGE0GlGyZEkEBwdLgV0qGDkFc1UqFTQaDTIzM+Ht7e3QYC7AXdGJiAqCuQq6YoKTFXSfDvJApPgz8HgiLz093S7vISpbANmDueKcMxfM1el0inCkVqtF27Zts1XQBSC1Y1UqFfbs2YMDBw5k+0x169ZFQEAAdDod9Ho9evXqxWBuAZEvnlyyZAnWrFkjBXNFFWN5fwDIutaIdp9oc967dw/fffcd5s2bhz///FPxWEtyqqArnvvjjz9K558IVRJZI9/IIjQ0FDNmzMCSJUsQEBAAZ2dns4Efcxo0aIDXXnsNnp6eyMjIQNWqVbFixQqUK1fOpn6N/HyuWbMmXnnlFTRt2hQApMXJ4np55MgRxMbG5ngvl/+78vPzYzCXiIiKHflYZ3x8PI4dO4YVK1ZgzJgxGDlyJEJCQhAaGopVq1bh+++/x/379wFYb1uK+3qbNm1Qv3596PV6xRgl8Hjce9++fQgPD3f8hzRDfOZPP/0UJ06cUIzbinbFyJEjGfIhesrlVLXM9DooAhPJycnYtGkT9uzZg9jY2AI5Vs4VPV3E7/HmzZtYvXo17t+/r9hkwpHngrVgLqCsJC3aBPLvia81Gk22EK88zAs8vifLA7miwi4AXL9+HYcOHcKaNWsQGhqK4OBgjBw5ElOnTsXGjRsL7N8eERGRveS0KUxBBXMB62vmTNvAqampiIuLU4yvEzmStQq6QFY79O+//8bvv/8OIGuelYiIiIiIiiauSCUieoKZG2wUO/TKd1TbtGkTNm3aZPeArsFgwKlTp/Drr79K4QgR/DQajShTpgzq1asHAAxJFBBbKuaK0ISbmxtWrlwpBXMd+TviogsiIsczDejKr+0M6D7ZRNtPLLyUV1dMSkrCrVu37PI+4nVnz56N77//HhqNRgpqiklEc8Fcc7v8arVaPP/885g3bx4qVaqkqOYi30ykQoUKiueJhfJjxoyBk5MTunfvjg8++ED6GducjiOuKTqdDjNmzMD27dsRExMDANJ5AED63YlzQnwtJ35XmZmZuHDhAmbNmoVjx45Jz7fGUkBX/Cded+nSpdJ5KNqiRNaI60fXrl2lXfTlCyVs1bJlS8yfPx9arRaDBw9G7dq1ASBPi34CAgLw/PPPK54vzuVr167hzp07Nh1bbo6fiIioqJD3VfV6PVavXo3Jkydj5MiRWLduHX7//XccP34cJ0+exJ9//ok1a9Zg2rRpePXVV/HGG28gNjZW6iOZIzaNmTVrFipVqiT1a4CsdsHRo0fx7bff4ubNm479sBacO3dOWqRpMBikvr1KpULFihXRvHnzQjkuIioarAVzRd8cyOoPiPEZsTFacnIyNmzYwIAu2Z383OzXrx8++eQTbNiwAfHx8YoQqyPOhZwq5soDwmK+VGyGJT9++c/k41w5jT0aDAZpbBN4/O9PvH9KSgqOHTuG/fv34+rVqwVWtZqIiMgecqqYq9FoCiyYK1haM2fat1+9ejU2bdqEe/fuOeQ4iMwxF9CV/1swGAyIjIzEkiVLpLEfrt0gIiIiIiq6uCqViKiAFNbgiKXdAAFlGMKeFXTli4FXr16NmJgYaQBJLNgHgNdeew3VqlXL9/uRbWypmCunUqlw/vx53Lp1y2xowt646IKIyPHMBXTlu/kzoPtkEou8XFxcAGQtIBPtwKSkJLu9V3x8PO7evQsPDw/o9XppQXtugrmCi4sLOnTogC5dukjfk7dntFotSpYsqXiOaHN6enpi/vz5WLZsmfSZGcx1HPF71ul0ePXVV7F//36pbSb/excLG8ViDLEg0dziR/G7VqlUuHv3Lj744AObq5JZq6Ar3kOn02HZsmXYunWrdGwM6JItXF1dpa9z20cS99Nu3bphzZo1aN++fZ6vTeI6Hhoaitq1ays2MRB9vP/++y9Pr01ERFTUifZdUlISfvjhB4wZMwarV6/GqVOnAECqhiP/T4TQzp07h927d+OVV17Bxo0bcePGDQDZx+/F4ytVqoS2bdsq+i7yajo7d+5EWFgY4uPjHf655ceZmZmJsLAwnDx5EgAUY6dGoxHt27fHc889VyDHRERFT04Vc+XhiGbNmgGAYoNfBnTJUeTn5tChQ5GYmAi9Xo9vv/0W69evx4MHDxS/X3ueCzlVzJV/7eHhgfr162P8+PFYunQpVq1ahXXr1mHlypWYNm0aRowYgc6dO6NKlSooXbo0DAYDDAaDIrArXtPc2IEY+xL/3uRjA71798a7774rPY6IiKioK0oVc01ZCugCWZvSAI/XzDmiqAWRNdYCuqItfOXKFSxdupQBXSIiIiKiIk5lZEudiMghxIBJRkYGtFqt9H15oKAgJScnIywsDEuWLJEmH8UEoXwgdMSIERg5ciTKli2bp/cRC/OTkpIwevRohIeHS5P5QFZwd8iQIZg1a5YUEiHHsjWYK35PYtK6RIkSGDVqFPr161dgOzSLfzt6vR5btmzBrl27pEVy8rCGGIj09/fHypUrUaFCBen8IyIi66KiojBv3jycPn1amoQU92gx8ePh4YH58+eje/fuAAqvDUP2M2vWLOzbt0+atBPtgPHjx2PixIl2u4/evHkTH374IX799VekpKRI75ObYC6Qdc6tWbMGq1evVgQ2AaBu3boICwuzqSIFg7mOIw/mjhgxAidPnlRcU0SbzWg0okSJEvDx8cELL7yA0qVLQ61W4/79+zhy5Aju3r2LhIQEAFA8H8gKIQYGBuL1119H9erVLR6P/ByJiIjA2rVrcezYMaSnp0ttSSDrWufk5ITp06cX6GIQIsA+91VxLV29ejVWr16t6N8ZjUYMGzYMc+bMsdMRExERFQ2ivRYXF4d169bh8OHDuHnzplSxTrQ9Te+z8s1fVCoV9Ho9PD090ahRI0yZMgWNGjWyeH+OiIjA+PHjERcXpwjuyMNtkydPxoABA+Dj4+Owzy4/vvXr12P58uUAlGEio9GIZs2aYe3atfD09GRfnugplFPVMnPhiCVLlmDjxo0AlPNG4jrn4eGBUaNGoW/fvpwrojwzd25qtVpkZmbCaDSifPny6NSpE8aNGwdvb+9sz8vPuZBTxVz5v4uXXnoJXbt2Rdu2beHu7m71MyUnJyMjIwN//fUXYmNjcezYMURHR+P+/ftITEyUHicPGovPBGRt+CE2sevVqxc++OADxecmIiIqynLaFKYwg7ly5tbMmbZ5gfyvmSPKiwsXLmDSpEmIiopSbGQsD+zWqlUL06dPR9u2bQFw7QYRERERUVHDcC4RkQOIgZGoqCgsW7YMLVq0QJ8+feDq6iotNC+MyTRHB3TFa2ZmZmLEiBE4deoUnJycpAVR4pbj7++PKVOmoFWrVnb/jJSdLcFcc4N2RX3RBZAVquCiCyKi3DMX0BWVdBnQfTJt2rQJH3zwQbY2QPv27bFu3Tq7vIc4R0RA9/fff0dSUhJatWqFzZs3A7AtmCteKy0tDWPGjMHJkyel4xWL2Vq1aoVNmzZJ36OCJ9pdmZmZCAkJwZkzZxTtf3k4onnz5ujTpw86duwILy8vxeukpKTgzz//xL59+3Dw4EEA5tt8np6eeO211xAcHGxzn8paQBd4fJ45Oztj2rRpDOhSsXX06FGEhoZK92jRlwoKCsKCBQsK+eiIiIjsR7TTbt++jblz5+Lvv/9Gamqqoh8rryBi7Wv5AseqVavivffeQ9OmTS32e3/++WdMmDABACyOq48dOxYDBgxAlSpVADiuD/3ZZ59h4cKFimMR71exYkVMnDgRffr0YZuW6ClkLRxhGjyQhyMyMjKwYsUKbNq0CYAyRCG+LqpzRQzoFg/WQuNigw2dTgdnZ2ds3LgRLVq0MPv8vJwL6enpcHFxsSmYGxwcjJkzZ8LZ2VnazEOEZ+UbHct/ZiozMxOXLl1CZGQkrl27hqNHj+LRo0fS8QpiDE18dgZziYiouMnLpjDy5xU0SwFdAHZZM0eUHwzoEhEREREVbxzNJSKyM3kwd+DAgfjxxx+xcOFCjB07Fu+++y5iYmKQnp6ueE5B7ZPg4eGB/v37Y8aMGdLAopg0lIckNm/ejE2bNiEuLs7m1xbPNxqNGDlyZLZgrljwVLJkSfTu3ZvB3AJiSzBX/N7FxLWYZNbr9XByckJycjI2bNiAPXv2IDY2tkCOW76D9PDhwxEUFAQ/Pz8AkBbZia/VajUiIiIwadIk3LlzRwqXERGRdVWrVsXChQvx7LPPSouRTBcyJScn46233sL3338PQLmYmYofMYks2gDiv5MnTyI8PNwu7yHOkcqVK2PKlCnw9/dH+/btcx3MFa8FQKoyIc49tVoNlUqFF154QfoMVPByE8zt3Lkz3nvvPfTu3RteXl7SAgfg8Tnh7u6OF198EStXrkRoaCgA5eIM8XpJSUnYvn077t27ly1ka4m/vz/+97//oXXr1nBxcVG0JYHH51NmZiaWLl0qVXYWx05UHBgMBvj4+MDZ2Vn6njjHRXUC3ruJiOhJINqH0dHRePXVV3H06FFFMBeAFO6Rb1ghaDQa6edA1rip0WjE9evX8eabb+LcuXNmK+4CQMeOHTFp0iQAUIyrizFUAPjkk0+wefNmRERESMeT33al6X1806ZNZoO5AODs7IzAwEB06NCBgR6ip5C1cAQAi8FcvV4PrVaLqVOnYuTIkQCyxm9EALEozxXJF6tzrqhoyuncFOFU4HEletNgrnhMXs6F6OhouLi4ID4+PlswF8gexJk7dy60Wq3UHhD3e3n7wPRnciJgXL9+ffTr1w/Tpk3D9u3b8eWXX2LVqlWYN28eAgMDUbNmTenYdTodevTowWAuEREVK4URzDXtH+e2rWduzZzoz8v79nlZM0eUX3Xq1MHKlStRtWrVbBvQibbw5cuXsXTpUvz+++8AuHaDiIiIiKgoYeVcIiI7Mjf46ObmhtTUVOkxFSpUQKtWrfDSSy+hbdu20qBjQU60WdoN0HTXbFt3A5QHc0NCQnDy5EmLC/NHjx6NadOmAeAObo5mLZgrdoMWO6aXLl0aL7zwAsLCwqTHmJ4T3BWdiOjJZFpB11y1StMKulwgVDzdvHkTISEhuHv3rqKyEgAsXLgQAwcOtNt7iXZIXFycIhRsazBX+PrrrzF37lxFm1Ec8yeffIJ27drZ7ZjJdjkFc8UCWKPRiF69euGdd96BVqu1+pry68qKFSukas4ajUYKNIh26YABA7BgwYJcXYesVdAV1zonJydMnz690HdvJ8qt+/fvo1u3bkhISACQtSBjwIABeOeddwr56IiIiPJPHswdPnw4bt26ZbadKPj4+AAAypcvj7i4OCQlJUlj9CKgKw/NijZsq1atMHv2bCkwY+rmzZtYv349du3aJb2vXq/PNq4eGBiI3r17o1evXvn63PLxzZs3b2LXrl1Yv349AGUwV7x3w4YNsXLlSlSqVClf70tExU9eK+aa9nv1ej2WLVuWrYIu54oor/IaGrc0JpPbc6FJkyaYP38+pk+fjosXL1qsmDty5EjMnDnT6nvnhnwTENO5cDEGHx4ejqtXr+LOnTuYMGGC3d6biIjI0QormCvuqREREahbty60Wm2eXtPcmjlz7QNW0KXCwAq6RERERETFE8O5RER2Ih98HDp0KO7du6eYXASyLxLq3LkzGjRogJCQEDg5OcHZ2bnABkwsBXSB7LsEWxtstCWYazQaYTAYEBQUhAULFgDgwJCj5VQxF4AimPv555+jWrVqWLx4sVTZjosuiIieHrYEdL28vPDmm29KAV0qnoYOHYrTp08rKknp9XpUqFABmzZtQo0aNRzyvrmdHBdtGdE2Efd58RqNGzfG1q1bcwx8kv2J9pVOp8OwYcOsBnP79u0rtUNtaf/L224LFy7EZ599BgCKa5LRaETz5s2xcePGXP/+GdClJ1V0dDT69euHR48eSX0jvV6PESNGYNasWYV9eERERPki2mNRUVEYOnQo4uLizAZTAaB58+bw9/fHoEGDoNVqUb58edy+fRsPHjzAnj178M8//yAiIkKqriefIjUajXB3d8eQIUPwv//9DyVKlDB7POfPn8eGDRuwf/9+6f1FQFfcgwHA29sbffv2xbhx4+Dq6io9Li9jld9++y0OHDiAQ4cOATAfzK1UqRI2bdqEatWq5fr1iah4s1cwV3hSAroBAQFYsWIFKlSowDnJQmLt3ASQ5+BObs8FV1dXpKWlWWw/yIO5BTGvaOk9OAZFRETFQWEHc/fu3Ys33ngDAwYMkCre5+X+ba81c0SOwIAuEREREVHxw5FdIiI7UavVuHnzJgYPHqwI5soX+IhFOqJi2MGDB/Hhhx9i6NChWL58OSIjI81WBXMEDw8P9O/fHzNmzJAGFsVx6fV66evNmzdj06ZNiIuLy/Ya1oK5YjBIBHP79OkjBXMNBgMHhBwot8HcnTt3olq1ajAYDJg2bRpGjhwJAGbPieTkZGzYsAF79uxBbGxsgXweMXmu0WgwfPhwBAUFwc/PD0DWuSQfgIyIiMCkSZNw584dadEbERFZV7VqVSxcuBDPPvusdC8X9xIxkZqQkIBp06YhPDy8cA+W8kRUherUqROcnJykSWpx/0xMTMTRo0elgKW95XbCXaVS4cKFC/j8888V3wMeH3OlSpXg7Oxs12OknMkr5poGc+ULI41GI/r37y+1Q0U/KCfytttrr72G1q1bA8jeLzp58iR+/fXXXB+/v78//ve//6F169ZwcXHJdq1Tq9XQ6XRYunQptmzZAiCrLUpUlF24cAFJSUnSAmTgcf+vcePGhXxkRERE+SNf9Dt48GCrwdyhQ4fizTffxPTp01GlShUpLFaxYkXUr18fM2bMwKpVq9C7d2/pnilvo6rVaqSkpODgwYOIiYkBALPjivXr18fLL7+MDh06SI8RY+Tyxcbx8fHYuHEjJkyYgC+++ALx8fHZFguLYzcYDNne68GDB7hy5QrGjx+P9957z2wwV7RfS5UqhU8//ZTBXKKnkOjLXr9+HcHBwYpwRF6CucDja2txnisSY5nh4eEYOnQoHj58yDnJQpBTaDw/wZ3czBuqVCqkp6dDpVJJY1aFGcwFIL2H6XgXg7lERFTUFYVg7uuvvw6DwYCDBw/igw8+QEZGRp7WBVlbMyf/2tqaOSJHqVOnDlauXImqVasq2rXyDWguX76MpUuX4vfffweAbJvQERERERFRweLoLhGRHe3duxfx8fFwdXVVVMiVL5AFHk/uqdVq6b/z589j8+bNGDhwIN5++23s3btX8bqOWgyen8HGzMxMq8FcjUYjLUjq1asX3n//femzcHLRcawFc8VgtGnF3OrVq0tVEp2cnLItuhCTxMVh0QUDukREeWcpoCsPpvXs2RMBAQGFe6CUJ6L91aJFC2kBmrxNlpKSgl27diE+Pl5arFZYxPl27Ngxqf0hvmc0GlGmTBm88sornGQsYPJgbkhIiNmKueLr/v37491331U8z1bise7u7mjTpo3ie2JxBwCpIkpuzwFbA7rLli1jQJeKPHH+37p1CwAUFftEUIeIiKi4srTo11wwd/z48Xj99dfxzDPPWOwniEq6ixcvxvDhwxVV9cTXGo0GUVFRWLx4sfQecuJ1n3vuOYSGhqJHjx4AlJtYivFZ8dw///wTixcvxssvv4wNGzbg999/x6NHjwBAatuq1Wrp8efPn8eBAwfw2muvYdSoUTh06BASEhKk45H31fR6PapWrYrPPvsMNWvWtMPfOhEVNyqVCg8fPsSIESMQFxcHV1dXZGZmZgsg5jYcYS6gK+b9TOeKdu/eXaTmisT4BAA0btyY/aJCYC24AyBf56Zg67yhKXloqDCCuXIMjRMRUXGS0/29oIK54r0ePnyIffv2YenSpVJAN7cY0KWijAFdIiIiIqLiRWVka5yIyG4SEhIwZMgQXLlyRTGhVrJkSeh0OqSnpyuCEGIgUT5JLgZQ2rdvj2bNmqFv374oU6aM9FqmO/rbQ3JyMsLCwrBkyRJpgNHcAOqIESMwcuRIeHt7S5Pbr7zySo7B3A8++AAAg7mOllPFXLETtTyYW61aNbMTznq9HsuWLcOmTZuk1zBd+Obh4YFRo0ahb9++UiUKR5NXZNuyZQt27dolBTPkC+nEvyN/f3+sXLkSFSpUKJSJdSKi4igqKgrz5s3D6dOnpYV3er0evXv3lhYo855evC1evBibN2/OViVKr9ejc+fOWLlyJYDC+T2L90xJScGQIUMQGRkpHadog9SsWRMbNmxAxYoVC/TYnmaiHaXT6bJVzJW3vfIbzDUVFxeHnj17KqrciHO1Q4cOWLt2ba7eQ95ejoiIwNq1a3Hs2DGkp6dLbUkA0iS3k5MTpk+fbpdFJESOEhMTgzFjxuDy5cuKkPzzzz+PTz75hOcsEREVS7kJ9UybNg2jR4+26XXlbcc333wTu3btyrbpn0qlQqlSpbB69Wo0adIk23i8/M+RkZHYtWsXdu7cCUA5hgoo25Xy/nXdunXh5eUFb29vlClTBhkZGYiJiUFKSgouXbqEpKQk6TXEWLt8LkFsWlO/fn0sWbJECiMR0dMpOTkZq1atwtdff41Hjx4pAgVA/sIR5uaKTKvyFqW5InEd1+v1ivlJR8ytknkFEcw19345zRuaGj9+PCZOnAigcIK5RERExYml+3tmZiaAgg/mirVp4n1feeUVzJ49O8+fL7dr5sqWLZvn9yLKrQsXLmDSpEmIiopSbDInH8uqVasWpk+fjrZt2wJg/4eIiIiIqDBwdRYRkZ0YDAaUKFEC7du3B6BcNFO1alWMGzcOQUFBqF69uqLylxgMEdV0xZ9/++03LF26FP3798fq1avx559/AoDi8faSm90AN27cKO26bRrMFSFjBnMLXk7BXPG1LcFcIHe7ohf1CrpTpkxBTEwMJ9aJiGwkKug2b95cWljcp08fBnOfIP7+/tBqtQCyKuqKybw//vgDn3zyifSzgt7PSxzPihUrEBkZqbh/izZNaGgog7kFSF4xtyCDuTqdDiVLlkTlypUBZO32LPpSIrCQm/eQT0TbWkF36dKlrKBLRZbRaMTRo0dx9+5dqR8k/k3UqVOH92siIiqWclr0Kw/1zJo1Swrm2tJ3kVeeXbBgAdq1a5ct+KrX63H//n2cPn0aQPaqdvIqJHXr1sXYsWOlqns6nU4xTiu+lm/YCQAXL17EX3/9hR9++AE7duzArl27cOTIEfz9999ITk4G8HgsV9zfTSv8VqxYET179sSHH37IYC4RwcPDA+PHj8ewYcPg4uICnU5nt3CEubkiUSm8qM0VVatWDQaDQdpkUD4/yYXpBaOgg7mAbfOGgphDLFu2LEJDQwEgz5X2iIiInhZFqWKus7Mz9Ho9DAYDtFotdDodtFotevXqla/PyAq6VJSxgi4RERERUfHAFVpERHaiVqvh5OSELl26KHbCB4CzZ8/izp07mDp1KtavX4/u3bujQoUKALIWrcsXm4uQrpOTE+7cuYN169Zh5MiRePPNN7Fnzx7FQnd7DabYOti4ZcsWfPTRRxg8eHC2YK5YIMRgbsETA9MbN240WzFXLGCzJZgrFKdFF5YCulqtFmfOnMH48eORnp7OwUciIhtVrVoV8+fPR40aNdC3b1+8//77AHhPf1J07doVnTp1ktpt8nZoamoq9u/fjx9//BFA4UzeHTt2TNqYRgQhRfu4efPmaNasWYEez9NMHswNCQlRBHPF9cARwVzg8e/cxcUFnp6eALL6PaLd++DBA8X388LWgO6yZcsY0CWHyOu5JJ4XFRWFzz//HImJiVI/SKfTwc/PL1dBJSIioqLCWjBXXqUReLzod8SIEdLzbA1eyQO6Q4YMgY+Pj2JjIjEOfvjwYTx69Mjs/Vr+XuXLl8fIkSPxySefwM/PD25ubooNMwQxpir6WCqVSurnyDftFMQxysfcjUYjAgICMGHCBMyaNQu+vr42fWYievKVLFkSI0eORGhoqDR2Z69whEajwdSpU4vFXFGJEiXQvXt3bjJYCAojmCvkNG8o7rPiXh8XF4cRI0bg5s2b0Gq1dt0Qm4iI6ElirY9uNBoLvGKueF9nZ2dkZGTAzc0NO3bsQIMGDfI9b2NtzZxo8wKPA7qbN29mQJcKlK0B3WXLlikCukREREREVHBURq7QIiKyGzFIuHjxYmzevFlaWCMm9d566y0MHjwYAPDnn3/i+PHj+PTTT6VF36I6nXwgRfwnXkOj0aBhw4bo06cPWrRogZo1a0rvb48JzOTkZISFhWHJkiXSMZnb8VAci1gYxIq5he/MmTPS+eXi4oKMjAwAuauYa45er8eyZcuwadMm6fXk56NOp4OHhwdGjRqFvn37onz58g74dNmJc0uv12PLli3YtWsXbty4AeDxRLwIkgDARx99hJdeeqlAjouI6Ely//59lClTBgDv6U8K8Xu8ePEipk2bhkuXLkmTc6INCgCBgYEYNWoUWrVqBUA5Ge5IDx48wAcffIA9e/ZIxyQmF41GIyZMmIAJEyY4/DgoK2Cr0+myVcw1GAxSm9ARwVy5gQMH4uzZs9KfRZiidu3aCAsLkzY1yi35OR0REYG1a9fi2LFjSE9PV4QzxL8LZ2dnTJs2TVpcYu/PSU8fcQ6mpqbi1q1bqFWrlvQzW86vpKQkvPrqqzh9+rSiP+7p6Ylx48ZhxIgRvHcTEVGxklPFXEcs+k1ISMCgQYNw7do1aTGj6H9UqlQJYWFhKF26tM2vFxkZiV9++QX79u3DjRs3pNeSj6dampaVh3bFn8W8AQCULVsWL774IsaNGwdvb+88tYGJ6MmXmJiINWvWwNfXF8OGDQNgvzE9c3NFYoPYojJXdOTIEbRr107xfXK83G6uYc9grrnjsDRvKMYXxT3f398fK1euRIUKFTjOQ0REZCI3ffRZs2YpNs9yRDBXzEeJY3B1dcX27dvRqFEju7YpbF0zN2zYMPzvf/+Dt7e3Xd6XyBYXLlzApEmTEBUVpSiiIuYyNRoNKleujHfeeQfNmzcv7MMlIiIiInqqcDaCiMiOxCBhkyZNpMUxYvENAGzYsAEnT54EALRq1QpTpkzBtm3bEBoaCl9fX+h0OmlBrfz58uq6APDPP//g/fffx6BBg7B69WocPnwYAKTBxvzsCJhTBV0RkBDvw2Bu0VGjRg2MGTMGJUqUQHp6OjQaTb6DuYD5Crrid17UdkUXO2Gr1WppUmDVqlUM5hIR5ZEI5orJHSr+xO/R19dXqhYqrxQq2ghHjx7FZ599hr///huAYyvoytuuO3fulIK5ov0rFs61bdtWCuZynzHHklfMNQ3mysMFjgrmir7F5cuXcevWLanCifw8bN68OZydnfMcSpCHzW2poJuZmYnly5dj27ZtAMAFm5RvKpUKmZmZWL9+PYKDg7Fs2TKcOHECQNb5JcYIgKzqeSkpKTh//jzGjh2rCOaKc7Z+/frSYnTeu4mIqLjIqdqeI4K5er0eXl5e6Ny5s2LMG3h8L05JSUFiYqJNryXu13Xr1sXo0aOxbds29OzZE/Xq1QOQdU8XfRz5WL+8rSsqUWo0GqlN6u7ujtGjR+O9997D22+/jXLlyjGYS0QWlSxZElOnTrV7MBcwP1dU1CroMphb8HK6h8s3mnBkMFe8l7UKuuJ+K947IiICkyZNwp07d6TN4IiIiOgxtVqNa9euISQkJNv9HYD09ezZsx0azBXvaxrM3bZtm92DuYD1NXPytXw//fQTrl69arf3JbKFpQq6AKRNalQqFWJiYti2JSIiIiIqYJy9JSJygM6dO6NDhw746aefAGQtoo2Li8Nff/2FZs2aQafTwdnZGc2aNUOTJk0wbNgwrF27FufPn8eZM2cUC4/0er0UWhADknq9HklJSVi9ejXc3NzQrl07dO3aFS1atFDs5p+XKmdisBGA2d0A5a/NYG7R4eXlhVGjRkGtVmPz5s1IT08HgHwFcwWx6AIANm3apDgnTBddACiwXdFNJ9oBICwsTBoEX716NTp27Aig4Cr+ERE9iXj9fPKUKFECw4cPx4kTJ/Dff/9J93VxX9Xr9fj5559hMBgwdOhQBAYGKhav2ZN4va1bt2LVqlUAkK2yVLVq1aSFpbynO5Y8mBsSEpKtYq6Y3DUajejbt69DKuaKxZIRERGIj4+Xvif/v6+vLwD7nQ8ioAsgWwVd0e/R6/V47733UKZMGXTv3j3f70lPN6PRiKNHj+KPP/7Aw4cP8emnn2Lfvn1o3749evXqhTp16sDT01Px+P/++w/79+/HoUOHcPXqVak/LhY7e3l5Yfz48ahRo0YhfjIiIqLcyananiOCuUDWZhienp5SsEx+TA8fPkRMTIy04NEa+c+dnJxQvnx5LF68GPfu3cPBgwfx+++/48yZM0hLS5PG0uUbDok2p1CqVClUrlwZvXv3RtOmTVGnTp1sf19ERJZotVrpa3tfLyzNFen1+kKfK7L2Z3KMnCrqAVlz5OPGjZPu4Y6sUmtu3lBU0JXfQ00DuqygS0RElMVoNCIjIwPBwcG4f/8+3NzckJqamm1jqxo1aqBp06bSn/M6V2OtYq4YDzAN5vr7+zusf2xuzZwICet0OlSvXh0DBgxA7dq17f7eRDkRAV1RQVf8OzAYDPDz88OgQYPwwgsvsE1LRERERFTAVEaWmyEisisx6HHgwAG89dZbSE5OlnYqMxgM8PHxwZdffglfX1/FAIlYTJuYmIiwsDD88MMPuHLlimJRuLxSlHwHffHnEiVKwMfHB6NGjUKdOnXg7+8vHVdeJhOTk5MRFhZmMaDLYG7RlJiYiK1bt+Ljjz+Gm5sb9uzZk69grpxer8eyZcuwadMmAFmD4aLig06ng4eHB0aNGlVgiy4AKIIin376Kb788kvMnj0bnTt3BsAQDxERkSUXLlzAkCFD8OjRI0VbT14tolWrVnj55ZfRpUsXAI5ZQLd161YsWrQIQPZgbokSJRAUFITx48fDw8PDru9L5ul0OgQHByM8PFwRzAWyqigPGjQIb7/9NgDHnBNXrlzBxIkTcfXq1WznRI0aNbBz506UKlXKru8JABEREVi7dq0ioAtkVXpp0KABdu7cCRcXF7u/Nz0dRN/l1q1bWLhwIX777Tepzw88Psc9PT3h6emJRo0aoUSJEkhLS0NcXJxiIy/TYC4ArF27Fh06dCi0z0ZERJRb1qrtGY1GhwVzgaw27GeffYZ33nlHGtsEHvdJNBoNvvzyS9StWzfPn0vIyMhAXFwcIiMjcerUKSQlJeHmzZtISUmBi4sL3N3doVar0bhxY1StWhX+/v6oXLlyvj4fEZEj6XQ6LF++XDFXJPrthTlXRAUnp3u4GD9SqVTQarWYNm0aunTpgnLlyhXo8en1emzZskUK6AJQbMYm5un9/f0Z0CUiIjLxxx9/YNy4ccjMzFRUzpUvN27Xrh2GDh2Ktm3bSj/Lzdqc3AZzt2/f7pCKueaINXNLly6VNh/x8/PD4MGD0b9/f8XmmkQF7cKFC5g0aRKio6OlYC7PTSIiIiKiwsNwLhGRg8THx+OVV17BpUuXpElpMSHds2dPzJ8/H+7u7tLjTQcor127hitXruCjjz5CXFwcHj58qAjpyhfHiwlO8fparRaenp7o3bs32rVrh+bNm+d5UNJSQJfB3KItISEBX3zxBbp06QI/Pz+7TiQXh4BudHQ0qlWrBoDBXCIiopzs378fc+bMQWpqqsWAbr169fDSSy/h1VdfBZC/Np/8uQkJCdixY4eiYq5oV4j7esuWLbF48WIu5CxA06ZNw/fffw+1Wq3oe4ghJE9PTyxduhTt2rWTvmfP9lZKSgo+++wzrFu3Do8ePZL6O+L86NOnD9588024ubk5pJ1nGtAVCz8aNWqEHTt2wMXFReobEeXV3Llz8fXXXwOAtPGWvMKPfGMsAIp/B3q9XvFv08XFBcuWLUPHjh0BsA9ERETFQ04Vc+X3Q3sHc+WvM3PmTHzzzTfSfVjcc93d3bF3715UrVo1z+8hH8s3PWa9Xi/93NK4LcNBRFSUmZsrYkD36WAtmCuI8SJxf/Xw8MDIkSPRv3//Qpk3ZECXiIgod8R99Pjx4xgxYgSMRqPUZweUc4jt2rVDSEgIAgMDAdg+Pm0tmCte28nJqVCCuUJycjJ2796N9957D2XLlsWoUaPQr18/hh+pSLhw4QJGjx4NNzc3BnOJiIiIiAoZw7lERA4gBgJ/+OEHzJo1CxkZGdKAotFoRK1atfD++++jYcOG2QYNTf8cFxeHU6dO4ZtvvsGvv/4qfd+0epQ8oGswGKRJzzJlyqBGjRoIDQ1FjRo1FIuJbB2wNA3oarVa6HQ6BnOLOPmks70nkIvqogvTc5CL0omIiHKWmZmJXbt2YenSpVJAV9zXRVsCANzc3NC+fXssXLgQJUqUyNM9Vn6v/uOPP/Ddd99h3759AMy3J/z8/LB+/Xr4+fnZ46OSjfbv34+1a9fi6tWr0Ov1igWLwOPzolq1apgwYQK6desGwD7tLvEaf//9N6ZPn46YmBjpvcU54ezsjM8//xwNGzbM9+e0JiIiAuvWrcPx48eRkpICf39/bN++ncFcsovLly+jR48e0p/l/8bk1YXEAmEgK5wrHq/X6+Hk5ARfX1+8+eabuV74REREVJgKO5grv18OGzYMJ0+eVIyv6/V6NGjQABs3boSXl5fd7q3W7tO8hxNRcWSugq65zVxDQ0PRr18/BnSfADndw+X9WgBFamNfBnSJiIhyx1JAV/TX5XOI7dq1w7Bhw9CmTRsAOfdxLQVz5e0KeTB327Zt8Pf3L5R1aUlJSfj555+RmJiIvn37omTJkgX6/kTWXLt2DWfOnEGnTp0YzCUiIiIiKkQM5xIROdDly5cxYcIEXL9+XQobiMtuUFAQFixYYPX5poOV3377Lc6cOYPPP/9ceh15iEFOHsrU6/UoWbIkSpcujZCQEDRt2hT16tWz+D7miIDu8uXLkZ6eDgAM5j7lzC26KAoBXSIiIsq9lJQUbN68GZ9++inS0tIUbVexOE38v3bt2nj55Zfx/PPP57jxi/x5on2ampqKZcuW4dSpU7h06RIA8+0Ib29vbN++HTVr1iy4v4innLxfcOjQISxfvhzXrl2Tfn+mlb/8/PwwefJkvPTSS9men1ui73Lz5k2MGTMGV69elTYeEu+p0Wgwffp0aRGIo8MLEREReP/992E0GrFlyxYGc8muTpw4gbVr1+L8+fNISEiQroPiWinf4AvIWuQu/l+2bFm0atUKQ4YMQUBAgPRYhnqIiKiok4d6hg4dinv37lmstueIYK7cV199hXnz5gFAtnvv8OHDpcXBRERkmaXNXI1Go9R/4VzRk8HWzTXEWGBRmTdkQJeIiCjvHBHQtVYxV7yuaGM4Kpgrfy1bxtUzMzNhNBqh1Wrt8v5E9sQ1m0REREREhY/hXCIiB1u3bh1WrFgBAFLlG71eDy8vL6xYsQKtWrXK8TVMJ/5OnjyJPXv24M8//8Tt27ezPd500FAsZhcqV66M5s2bY/DgwahSpQpKly4t/czagE1ycjJ2796N9957Dy+99BI++uijHJ9DT7aiWkGXiIiIci85ORk7d+7E2rVrpQq6otoJ8LhNqVKpoNfr4enpCU9PT4wZMwa1a9dG06ZNrU5e63Q6nDt3Dj/++CP++OMPKZQLQApgivcwGAyoUKECNm7cyGBuISiMgK4IHCYlJWHo0KG4ePGi1K4U76VSqdChQwdMmTIFzzzzjN0/tyWXLl1CtWrVpMUmDOZSfsn/jdy4cQMnT57E559/jnPnzikeZ7oxguDh4YEaNWrgtddeQ506deDj45PtdYmIiIq6mJgYBAUF4d69e9BqtcjIyACgrBQ/cOBALFy4EMDjRbDOzs52PYYrV67gvffew9GjR6UNLsW9tEKFCliyZAmaNWvGsW8iIhuYmysyV0GXc0XFl7VgLqAM07Ro0QInTpxQfL+wzwUGdImIiPLOUkBXbNCRm4BuUQjmyud67t69i3LlyrHvT0RERERERPnCcC4RkYOIgbtr165hypQpiIyMVOy+r1KpMHnyZIwdOzZPg3zJyclIT0/HqlWrsGfPHmkBk3h9OfG+YtJTLHKqUKECKlasiDFjxqBWrVqoUqVKtuM3lZiYiH/++QfPP/+81cfR04MBXSIioidHamoq9u3bhw8++AApKSmK+7og2pYiLObh4YGmTZuiSpUqeO6556DRaODq6gq1Wo2bN2/i/PnzuHz5Mk6ePCm9hkajkRa9ibapaMPWq1cPH374IapVq1YwH5qyKciArlgE8ejRIwwdOhSRkZHZzjuj0QhfX1/MmDEDXbp0sf8HNsP0M7DfQ46k0+nw/fff49KlSzh58iRiY2ORlpaGpKQklC5dGlqtFr6+vnj22Wfx3HPPoXnz5gyKExFRsXblyhUMGTIEKSkpyMzMVGxGITYFqlu3LqZMmSKNQ9tzIwq9Xo/Nmzdj5cqVyMjIyDZ+HhgYiFWrVsHd3d0u70dE9DRgQPfJZSmYq9PpFBWSgayq90uWLMHGjRsBFJ1zgQFdIiKivLNHQNdSMFe+4Yc8mLt9+3Y0atTIIcFco9GI0NBQPHr0CEuXLkWVKlU4D0RERERERER5xnAuEZGD6XQ6zJkzB/v27ZMWmYtBSU9PT3zxxRe5rggmnwB84403sHv3bulnYoJTTByKSmTici8WN8kDEBqNBs888ww6duyIHj16wNfXV1GJwNLCJw5MkmDroovQ0FD069ePiy6IiIiKMJ1Oh19//RVvvPEGkpKSAGS1IUUFUwBSm1Ze3UpO/n3xtWnoUrRZjUYjvL29ERAQgNmzZys2jaHCURABXUvBXHFOiHNMrVZj5syZGD58uM2vTVRcmC7wTUxMhE6nQ3p6Oh4+fAgvLy+4u7vD1dUVrq6uFp9HRERU3Fy8eBETJ05EVFSUIggj+g5qtRo1a9bEjBkz0LZtWwD5bweKtuvhw4cxefJkpKamSuPnou3p4+ODbdu2oUaNGhz/JiLKJZ1Oh+XLl3Mz1yeItYq58jlAICuYCwAZGRlYsWJFtnlD+dcM6BIRERUvlgK64h5vLaArr1ZrWjFXPMfJyalAKuYajUaEhITg5MmTcHNzw3PPPYc5c+YwoEtERERERER5xnAuEZEDicVC0dHRCA4ORmxsrCKYYDQa8eqrr2LcuHHSToI5kQ8Ezp49G3v27AHweJBTrVZLg57lypXD3bt3peeJRUam5JOmAFCrVi3UqFEDr776KsqXL48yZcpk+zxE5nBXdCIioifL1atX8dZbb+G///5DcnKy1F41bVPKF8+rVCppEl0e6JU/TzxWDEcYjUbUq1cPPXr0QO/eveHj41OwH5QscmRAN6eKufJ+ytixYzFlyhQA3CCInlzmqgfIz3fTf3dERERPggsXLmDSpEmKgK5pG7NWrVqYPn16vgO6IlATHh4uVccR7U/xfu7u7hgzZgxCQ0Ph5OTEey4RUR5wrujJkZeKuUDWPbeohrUZ0CUiIso7axV0gcf3eEsBXSB7MFe0JeQVcwsqmCveX6vVonXr1lJAl4iIiIiIiCi3GM4lIoJyQY+9J9WMRiMePXqEefPm4YcfflBMPIogwo4dO1CiRIkcFxbJBx7nzJmDsLAwAJB2FxSDlpMnT0aHDh2wc+dO/Prrr1JIVwR05ZVzTSufCV5eXmjQoAF69eqFJk2awM/Pz25/J/Tk4qILIiKiJ0tsbCx2796NX3/9FREREYqNZsQ93rQ6rmhfyoNm4udA1uI7Ed7t2LEjXn31VdSoUUNRFZKKBkcEdK0Fc00Xdw4fPlxaqMEFkERERERPnoII6Ip25IULFzB06FAkJydnG6fXaDQIDAzEzJkzUatWLYd8ViKipwXnioq/vFbMNQ3RFNVzgQFdIiKivMtNQLdt27YICQlBmzZt8O2332LGjBkAoHi8PJi7fft2NGrUqECCuUajUdpYWKvVok6dOli3bh28vb3t8r5ERERERET09GA4l4ieemJA7/79+1KVWEdMqh0+fBhjx44FkDWpJyb9xo0bh0mTJtl0nADwxhtvYPfu3QCyB3OnTZuG0aNHS887c+YMzp49i/Xr1+PRo0dITU1VhHTF/+VMq+nKJ1WJcmJuJ+yiMNFOREREeZORkYGUlBSsXLkSR44cQVRUlPQzjUajWDhvjpiEN90Mpnv37mjZsiUGDhzo8M9A+WPPgG5uKuYGBwdj7ty5ABjMJSIiInqSOTKgay6YK6r+AVmbVvr6+mLhwoVo3bq1Qz8rEdHToqiGMiln9grmCkX1XMhtQDcgIAArVqxAhQoVcr1RCBER0ZPGUkBXp9NJG2CJeZ9OnTqhSpUqiraA+JmTk1OhBHMNBoN0nAaDAQaDAX379sWiRYvs8r5ERERERET0dGE4l4ieamJALyoqCp07d0bnzp2xcuVKAPZf/K3X6zFr1ix899130iSe+H+rVq3w4YcfolSpUmYn82wN5k6fPh2jRo0C8DhEodVqpdeIiorCiRMnsHv3boSHh0vhCdMKAUBWyMJgMKB79+5YtmyZ3f4e6OlQVCfaiYiIKH/Onj2L//77D9u2bcODBw9w//59xc/FxLtKpYJarVZs+AIA1atXx7PPPosuXbrg2WefhZubGwDLi/eo6LBHQFev1zOYS0RERERmOSKgm1MwV7Q/NRoNlixZgm7dutn0ukREZBtzc0WmYwCcKypaxD3w+vXrGDZsGOLi4szeOwHbgrlCUT0XbAnoyo/R19cXYWFhKFWqVIEcHxERUVGWm4CuYKli7rZt2+Dv71+gwVxxrzcYDOjVqxc++OADABwTICIiIiIiotxjOJeInlryXX+Dg4MRFxcHAIqd8Oy9CHz79u149913FQOJIiS7aNEi9O3b1+JxAsCcOXMQFhYGwHow13SwUj5waDQa8fXXX+PMmTPYvXs3VCoVjEajNAkq3xVQPvjIwATlFgO6RERETw7TiejY2FgkJyfjwIEDuH37Nv788088evQIBoMBiYmJUKlUKFOmDJycnKRAbtWqVfHCCy9Aq9UqNpHhJHfxkZ+ArvieuWCu6I8wmEtERET0dLNnQNdaMNe0/fnee++hX79+Vl+PiIjyxtZQ5ujRo9GnTx/OFRUBDx8+RN++fXH79m24uroiLS0NABT3ztwEcwVb5w1DQ0PRr1+/IhPQFZttGwwGdOvWDcuXLy+Q4yIiIioI+e0DWwroigCufLMLsT4NUFbMLehgrsFgUBSt4No4IiIiIiIiyi+Gc4noqSSvmDtkyBDcu3cPrq6uSE9Ph9FodGhANzg4GKdOnZIGN8VkY0BAAJYuXYrKlStnO07A9oq51gYKTT/LH3/8gcOHD+PHH3+UwskCBx/JHorqTthERERkX0lJSQAet0/j4+OhVqtRrlw5AIBWq4Wzs7P0WLYti7e8BHQnTpyIbt26ITU1FYMHD2bFXCIiIiKyyB4BXUvB3MzMTEUACAAWLlyIgQMHmn0dIiKyD1tCmZ6enhg0aBBGjRoFLy+vQj7ip1tycjJWrVqFr7/+Go8ePco2L52XYK5QVDf2tRTQVavVUKlU0Ov1rKhHRETFnq1zLrmdm7FWQRcATJcni/u/q6srtm7disaNGzOYS0RERERERMUaw7lE9NS6ffs2OnXqBJ1OB61Wi8zMTGnnW0cEdMVrbNmyBcuXL4fBYJAmG41GI7y8vLBs2TK0adMGer0eKpUq3xVzbZGZmYm4uDhs2LAB//33H86cOYMePXpg6dKleX5NIjmdTofly5czoEtERPQEEgvRxES3OaIdzEVrT47cBnRr1KiBUaNGYdu2bTh//rzFirnDhg3DnDlzADCYS0RERPQ0y09A11owF1BW/VuwYAGCgoIAcByciMjRzM0V6XQ6aDQaaWxp4MCBWLhwYSEfKQFAYmIiNm3ahM2bNyM9PV36fn6CuUJxCeh+9dVXuH79OgCgd+/eWLx4seJxRERERZ2lebnY2Fjcvn0b6enp0Ol0KFGiBFxdXVG5cmV4eHjY/Dpy1iroyp8rlio7Ozvjyy+/RP369ZGZmanY5Dc/GMwlIiIiIiKiwsBwLhE9tf7991+MGzcOd+/elQbfxEIfRwV0ASAqKgovv/wyHjx4AI1Go5joa9y4MbZs2QI3Nzfp8Y4M5sqfp9PpkJaWhqNHj+Kll17K12sSmWIFXSIiIqInS24CuiqVCs7OzsjIyGAwl4iIiIhskpeArljQy2AuEVHRZDpXpNVqodPpYDAY0KdPH7z//vsAWJW0qEhMTMSWLVuwbt06GAwGuwRzBUth7aIU0N26dSs+/vhjtG/fHsuWLVP8nIiIqKiTt6fi4+Px77//4sCBAzh37hzu3LmDhISEbM+pVKkSypcvjxYtWqBly5Zo0KABSpYsafN7WgvoApCOx2g0okmTJpgzZw4aNmyY7XjzisFcIiIiIiIiKiwM5xLRU+2ff/7B3LlzcenSpQIJ6IrBxC1btmDp0qXSJCMAqNVqeHp6Yv78+VI41tHBXNPjkuPgI9mbrRPtY8aMQa9evVChQoVCPmIiIiIisiY3AV1AufCCwVwiIiIiyomtAd1p06ahXbt2AIDIyEgEBwcrgrny8UeAwVwiosJkOlcEgOGIIiwxMRFr1qyBr68vhg0bBsB+v6PiUEH3yJEjUhuD5yYRERUH8nkbo9GI9evX48iRIzh58qT0GNFX1mg00vo4vV6vmLcBgBYtWqBJkyYICQmBp6cntFptjvdDSwFdnU4nHZtYrty2bVuEhISgTZs22Y49t6wFc+XjCQzmEhERERERkSMwnEtET73w8HDMmzevwAK6APDXX39h0qRJSEhIkKrnistxUFAQFixYgLlz5+Lrr78G4NhgLlFBslRBVx7QUKvVGDduHEaPHg0XF5dCPmIiIiIisiangK4I5gJQbEyk1+sBAMHBwZg7dy4ABnOJiIiIKDtbAro1a9bEu+++izJlyqB3795SMFcs/mXFXCKiokWv12P58uXYuHEjunfvzqqkRVxGRga0Wi0A+/+OinpA19KfiYiIiiJxv0pOTsZff/2FL7/8Er///rsUiBXrcwBIa9TkYVkxh+Pk5CRtdGU0GtGoUSO0bt0agwcPtmmT/ZwCuhqNRjqOdu3aYdiwYfkK6LJiLhERERERERU2hnOJiGA+oCsG6BwV0F24cCE+++wzAI8HOMUCdZVKhcaNGyM8PBwAg7n05LE00S525wSAtWvXokOHDoV5mERERERkI1sq6MofJ/48atQoTJ8+HQCDuURERERkmS0B3SpVquDu3btITU1VjDMymEtEVDTpdDr8+OOP6N69OwBel59mljb2BVCoAV0iIqLiRLSl7t+/j02bNuHQoUO4fv26tB5NbKRqKZQrn7+Rb7QqLzZRoUIFLFiwAI0bN4aXl5f0eubCtAUV0GUwl4iIiIiIiIoChnOJiP5fQQV0xQDfqVOnMHPmTNy5c0cx4CmvLMVgLj2pTCfaXV1dkZaWBgBYvXo1OnbsWJiHR0RERES5ZEtAV764w8vLC0uXLsXzzz+fbVd2IiIiIiJTOQV05ZWATCvuAQzmEhEVZbwuk06nw/LlyxnQJSIiygPRlrpz5w7efvttnD59GklJSVCpVIo+M5A1D2MaxhX9bLE+Tv54EabV6XRwd3fHgAED0K1bNwQEBCje39JxOSqgy2AuERERERERFRUM5xIRyZgL6JoOQNqrgm5qairGjh2LEydOSAFgQLlLoXzxEIO59KQxnWgHgFWrVqFTp04AcrcbJhEREREVvpwCuvKNiNRqNapVq4YJEyagW7du2Z5PRERERGTKUkBXkC8qllfPZTCXiIio6GMFXSIiotwTfdybN2/itddew7lz5wBACuaKPrNarZbuq4Koqmv6ffk9WN7PFpthOTs7IyAgACEhIdL6noIO6FoL5srHCxjMJSIiIiIiooLAcC4RkYmCqKArr547fvx4JCQkKAZFAUiDmgCDufTk0uv1WLRoEXbs2IGVK1eic+fOABjMICIiIiqubKmgK3ZqV6vV8PPzw+TJk/HSSy9lez4RERERkSlzAV35JjAAFGPtDOYSEREVH+Yq6Op0OsWm1h4eHggNDUW/fv0Y0CUioqea6ONGR0dj5MiRiI6OVmxiZRq89fX1RbVq1dC+fXu4u7vD29sbarUasbGxuHTpEu7du4dDhw7BYDBI4Ve9Xi/1seVhWrVaDW9vb0yYMAGDBg1SHI+l4zQN6IoNtXIb0GUwl4iIiIiIiIoahnOJiMwoqAq6t2/fxowZM3Dq1CnFzoNAVgXd119/HcOHDwfAgUJ6Mul0Oly9ehW1a9cGwEAGERERUXHHgC4REREROZK1Crryac/g4GDMnTsXQNbiXSIiIiraLFXQlVfsYwVdIiJ62on5laioKAwbNgyxsbFmq84DQM2aNdG8eXNMnjwZzs7OKFGihMXXvXDhAsLDw/HVV1/h33//lb4vf20xvyPYsq7NWkDXtIKvtYCutWCuaeENBnOJiIiIiIiooDCcS0RkQUFU0AWAsLAwzJkzBwCk8K/YdbB9+/ZYt25dvl6fqDhhEIOIiIjoycCALhERERE5krUKuiqVCiqVCnXr1sXkyZPRtm1bAGxjEhERFRfmArrmKugyoEtERE8jMa9y48YNDBkyBPfv37cYzO3SpQt69+6Ntm3bSuvd5HM0QFZfWf49g8GANWvW4Pjx4zh16hQAZCs6IQ/pTpkyBWPHjlUcn6XjtrWCbkhICAIDA6Vj1Ov1OQZzWTGXiIiIiIiICgN7nUREFgQEBGDhwoV45plnoNfrpZ36xKCdSqXCnj17MHv2bADKQUJbiL0ROnXqhJYtW5p9zMOHDxEdHQ29Xs+BQnoqcHEcERER0ZNBLOQAgBdffBFTp05F9erVs21IJP5848YNrFixAj/++GO25xMRERERmapTpw5WrlyJqlWrKjZ9EQwGAyIjI7FkyRL8/vvvANjGJCIiKi40Gg2mTZuGkSNHAlBWyRPBnOTkZGzYsAF79uxBbGxsIR8xERFRwTAXzHV2djYbzA0JCcHMmTPRoUMHRTAXUK7NEV+L/4s1ahMmTMAbb7yBwYMHA3h8P5b3u0VVewD48MMPsXHjRgBQbJ4lJ77fsmVLbN68GSqVCpmZmXB2doZKpVIUrTh8+DC2bduGI0eOSMdmKZhrNBoZzCUiIiIiIqJCxZ4nEZEVAQEBeOedd1C7dm0poCtf6JOfgK4Y1CxZsiQaNGggfU8+ABoeHo5Tp05Bo9EwtEhERERERMUKA7pERERE5EjWArqijXnlyhUsXbqUAV0iIqJiRqPRYOrUqdkCugAY0CUioqeSpWCuvPKsCOZOnDgRr7/+OipVqiQ939aQqgi6AkD9+vUxb948vP766wCQbU2cuCcDwJIlS7Bt2zbpvcz1vS0FdJ2cnKR+vTygu337dhw+fFh6vrmKueK9GMwlIiIiIiKiwqIycgaaiChH//zzD+bNm4eLFy8qdtsTOwsajUb07dsXixYtAgDFbn7WGI1GqFQqJCQkIDg4GJcuXZJCuGLQtFq1ali/fj2qVq3q0M9IRERERETkCKLfAwCHDh3C8uXLce3aNcWiCXmYws/PD5MnT8ZLL72U7flERERERKYuXLiASZMmISoqStr8xbSNWatWLUyfPh1t27YFwDYmERFRcaHX67Fs2TJs2rQJAODk5ASdTgeVSiXNp3t4eGDUqFHo27cvypcvX8hHTEREZH/WgrnyeyIATJs2DaNHj7b7MezduxeLFi1CQkICAGUAV61WQ6/Xw9XVFW+//Tb69OkDwHLfW3ye48ePY8SIETAajdmCxiII/MILL2Dw4MH49NNPceLECUUwlxVziYiIiIiIqChgD5SIyAaNGzfGwoULFRV0xcBifiroil363dzcEBgYKD0XgPQ+Dx48QGRkpPQ9IiIiIiKi4oQVdImIiIjIkcxV0DVtY16+fJkVdImIiIohjUaDadOmZaugazQaWUGXiIieCrmpmPv6669LwVx79XkNBgMAoE+fPnj77bdRuXJlxfyO/BjT0tKwfv16/PHHHwBgcVMsSxV0nZ2dASiLYvzyyy+YPn06g7lERERERERUZLEXSkRkI0cGdLVaLXr06CENmIrBSVFVd9OmTdLAIhERERERUXHDgC4RERERORIDukRERE8uBnSJiOhpZSmYK8K4oqI88DiYO3z4cOl5loKxuSWvkNu1a1e88cYbir63qaioKHz99de4du1ajq9rKaCrUqkUAd3ExETp/RjMJSIiIiIioqKGPVEiolywFNAVg3t5DegajUY0bNgQwcHB0oIg8Z9Go8G5c+ewe/duR388IiIiIiIih2FAl4iIiIgciQFdIiKiJ5elgC4ABnSJiOiJlFPFXGvBXHsHVOV95xdeeAFTp05F+fLlpZ8BkPreOp0Ohw8fxuHDh6XjscRSQFfc48VzxRo6BnOJiIiIiIioKGJvlIgol8wFdMWOfXkN6IqBysaNG0tfiwFDvV6PzMxMnDx5Uno8FwsREREREVFxxIAuERERETkSA7pERERPLnMBXVFRzzSgu3fvXgZ0iYio2MqpYq5GoymwYK4g7zt37twZM2bMgFarlQKzAKQiFGlpafj4449x6dIlReVdc6xV0BXPE2vpGMwlIiIiIiKioog9UiKiPLBUQTc/AV0A6NatG1588UVpxz8gK6S7b98+HDhwAEDWoCMREREREVFxw4AuERERETkSA7pERERPLksBXaPRmC2gu2PHDiQkJBTyERMREeVOUaqYa0red+7evTtef/11AMr7scFggJOTE5KSkvDOO+/gwYMHOa5zsxbQFRjMJSIiIiIioqKKvVIiKjYMBkO+fm5vIqD7zDPPKAK6YtAvtwFdcfxdu3aFh4eHNHAoBi1VKhV+++03pKamFvhnJSIiIiIisqe8BHQ/+ugj7N+/X3o+EREREZElDOgSERE9uTQaDaZOnaoI6Do5OUkbYItA0MOHD+Hl5VXIR0tERGQ7a8FclUpVKBVzTYk+NgAMGTIEr776KoDsG2YAwNWrV3H69GnpGK2xFtAV1XcZzCUiIiIiIqKiiD1TIioWxGDatWvXsHr1anzxxRe4evUqYmJipMeIwTYxwFcQi2jMBXRVKlWeKuiK42/dujXKly+veA2DwQCj0Yiff/4Z0dHR0qAjERERERFRcZXbgO7Vq1exdetWXLx4sZCPnIiIiIiKAwZ0iYiInlxOTk7ZKuhqtVoYjUbodDr06dMHCxcuBFAw6waIiIjySx7MHTp0qBTM1el00oalhR3MFeTr1gYPHozOnTsDgLR2Dnjcv46Li8Pu3bul59jyuiKgu2XLFimgq9FoGMwlIiIiIiKiIktl5Cg0ERVxYjAtKioKAwcOREJCAgCgdOnSUKvVCAgIQKVKldCwYUM0bNgQpUuXhre3t+I1jEajtPjGEQNz4eHhmDdvHi5duiTtAmgwGKTBQaPRiL59+2LRokUAHg9GajQai5/1u+++w9y5c5GWliYNWordD7t06YL33nsP7u7udv8cREREREREBU301wDg0KFDWL58Oa5duyb1j8QGSF5eXggKCsKwYcNQrly5Qj5qIiIiIiouLly4gEmTJiEqKkoK5prOGdSqVQvTp09H27ZtASjbqERERFR06XQ6LF++HJs2bZK+x+AOEREVVzExMQgKCsK9e/eg1WqRkZEBQLmR1MCBA6UNKERl2cK2f/9+vP/++7h37x6ArD616IMvW7YMXbp0sfn1xP37xIkTGD58OAz/1979xmpd138cf53rug5GQPJnClM8WB52ZKstK7FW6Y1qWTY4piTgZrCGW1uIluVWUlvLBDNNtm54Q2d4x2K2ZVuzWWvDXDodKavY4YACGkGALThSHc51Xb8bv30vr4PnwAUi59/jcedwONf5Xp/r3Dhn12ef5/ddqw06d+fvOwAAAKOJOBcY1ZrvCrh8+fIcOnQokyZNatwJsPh6rVZLkrS3t2fGjBn58Ic/nNmzZ+eqq67KjBkzMnfu3EydOnXI6yet3Z3vZIYKdJvvwN9qoJsk27dvz+rVq7N79+5UKpXG602S973vfXnggQcyf/58m40AAMC4cKJAN/n/mzNdf/31Wbp0aS688MKRXCoAAGNQK4Hu/Pnz841vfKMR6AIAY0O1Ws19992Xhx56KNdcc01+/OMfJxHuADD27Ny5M8uXL8/Ro0dz7NixQWfi2tra0tbWlksvvTS33XZbPvnJTyYZPTeXuvXWW/Pkk08OGmRRBLo333xzvv71r5/S9Yq/408//XR+/etfu/EGAAAAo5Y4Fxi1msPcG2+8MQcPHkx7e3sjVC028YqNvGKybLNKpZJ6vZ6urq5ccMEF6ezszEc+8pFMnz4973//+wc9trjeiaLZk3nppZeydu3abN++/W1N0E2SBx98MPfff3+SDNpErdfrWbZsWb73ve+d1hoBAABGo+MD3Z/85Cfp7e1tTMxdtmxZLrjgghFeJQAAY9XJAt1yuZy5c+fmBz/4QS6//PKRXi4AcAoGBgby29/+Ntdcc00S4Q4AY1cx0KH5vWutVhs0ifaSSy7JN7/5zcbNpUYy0C3+5v7973/Pl7/85bz22muNtZRKpVSr1UyfPj2bNm3KRRdddFrXHu5zAAAAGA3EucCotnfv3nzpS1/KwYMHM2nSpPT39yd5M1Zt/hXWvAlZbDqWSqUMDAw0vpb8f7BbKpWyYMGCnHvuufnEJz6Rjo6OdHZ2Zu7cuRkYGEilUhm0jmJzr5XNzKEC3VOZoFs8x86dO3Prrbemt7e38b3t7e2pVquZMmVKNm7cmAULFrz9HzIAAMAo0fye66mnnsrDDz+cyy+/PDfccIOJuQAAvG1DBbqFWq2Wiy++OF/96lfzhS984bRv4gkAjCzhDgBj3cluLlUqldLZ2Znbb799VAS6SdLX15fvfve7+c1vfpNKpZJqtZp6vZ5KpZL29vY8+OCDWbhw4YivEwAAAM40cS4wqu3cuTPLly/P0aNHc+zYsUakWiii2+MnyzZrnq7bHMgef63p06eno6Mjc+fOzcc+9rHMmDEjl112WSZPnpx3v/vdg655sum6bzfQLdxxxx351a9+lXK53NhgrdVqWbRoUe65555T+2ECAACMAc3v8Xbu3Jlp06bl/PPPH+FVAQAwXgx1yLlWq2XevHlZtmxZrrvuukybNm2klwkAAMAENhYD3aeffjqrVq1KkrdMz73pppvy7W9/e8TXCAAAAGeaOBcY9bZv357Vq1e/5aBM8/Tc4+Pc4k64xeOKxxS/8orHN0/XLZfLqVarg577oosuyjnnnJMPfehDmT9/fjo7O/OBD3wg5XI5kydPHvTY5um6SbJ169bceeed6e3tbQS6tVot5XL5pIFuca1du3ZlxYoV2bdvX+N1L168OOvXrx/ytQMAAIwH3usAAPBOKg45v/rqq8JcAAAARqWxFOjW6/UcOHAgK1euzMsvvzxojbVaLZ///Odz3333nfV1AQAAwDtNnAuMCcNtNjbHtkP9OiuVSm/Z7Cs0B7vNoW/zpNviewttbW0577zzMmvWrHz84x/PeeedlyuuuCIzZszIzJkz097e3nhsrVbL1q1bs3bt2kagW0S5rQS6SXLkyJGsXbs2Tz75ZJIMmphbvCYAAAAAAODU9PT0ZNWqVZk8ebIwFwAAgFFpLAW6SfK1r30tv/vd7xpn8orzevPnz88vfvGLvOtd73JzVgAAAMYVcS4wZgy12Xj8BN0PfvCD6ejoyMyZM/OHP/whb7zxRg4ePDjoOpVKpTEpt5hm23yNQvNGYKlUSrVabXxvs2nTpuWcc85JV1dXOjs709HRkYULF+Y973lPZs+enW3btuXOO+/MX//610ERcauB7jPPPJOvfOUrg+4gKMwFAAAAAIC355VXXsmf//znfOYznxHmAgAAMCqNhUC3OO9211135dFHH33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+      "text/plain": "<Figure size 1080x360 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -461,8 +461,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:40.424627Z",
-     "start_time": "2023-07-10T17:02:36.475625Z"
+     "end_time": "2023-07-10T22:28:51.809110Z",
+     "start_time": "2023-07-10T22:28:50.089286Z"
     }
    }
   },
@@ -478,12 +478,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1826,
+   "execution_count": 16,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:02:40.424842Z",
-     "start_time": "2023-07-10T17:02:38.955367Z"
+     "end_time": "2023-07-10T22:28:52.496434Z",
+     "start_time": "2023-07-10T22:28:51.805642Z"
     }
    },
    "outputs": [
@@ -491,7 +491,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 1826,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -504,21 +504,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1887,
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\"\n",
+    "                          # Associate added reactions with genes here\n",
+    "                          }"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-10T22:28:52.499965Z",
+     "start_time": "2023-07-10T22:28:52.352426Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:07.945108Z",
-     "start_time": "2023-07-10T17:12:07.654594Z"
+     "end_time": "2023-07-10T22:28:53.330198Z",
+     "start_time": "2023-07-10T22:28:52.376226Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n\n                 Remove Demand Reactions Substrates  \n0                    {}     {}     [nan]      [nan]  \n1                    {}     {}     [nan]      [nan]  \n2  {OXYGEN-MOLECULE[p]}     {}     [nan]      [nan]  \n3              {GLU[p]}     {}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment      Genes                 Add Remove  \\\n0  Testing L-Selenocysteine  {EG10941}  {SER[c], SEPO3[c]}     {}   \n\n                  Demand Reactions Substrates  \n0  {L-SELENOCYSTEINE[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1887,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -537,7 +554,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1888,
+   "execution_count": 19,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -545,6 +562,7 @@
     "for i in range(length):\n",
     "    genes = condition_df.loc[i, \"Genes\"]\n",
     "    rxn_set = set()\n",
+    "    added_rxn_set = set()\n",
     "\n",
     "    for gene in genes:\n",
     "        function = \"reactions-of-gene\"\n",
@@ -562,6 +580,9 @@
     "            else:\n",
     "                print(gene, rxn)\n",
     "\n",
+    "        if gene in added_gene_to_reaction.keys():\n",
+    "            added_rxn_set.add(added_gene_to_reaction[gene])\n",
+    "\n",
     "    condition_df.at[i, \"Reactions\"] = rxn_set\n",
     "\n",
     "    overall_list = []\n",
@@ -583,6 +604,8 @@
     "                print(reaction, compound)\n",
     "\n",
     "        overall_list.append(compound_set)\n",
+    "\n",
+    "    condition_df.at[i, \"Reactions\"].update(added_rxn_set)\n",
     "    condition_df.at[i, \"Substrates\"] = overall_list\n",
     "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
     "    # This is to create the control"
@@ -590,28 +613,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:09.665108Z",
-     "start_time": "2023-07-10T17:12:07.775307Z"
+     "end_time": "2023-07-10T22:28:53.776477Z",
+     "start_time": "2023-07-10T22:28:53.362916Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1889,
+   "execution_count": 20,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:09.815085Z",
-     "start_time": "2023-07-10T17:12:09.709204Z"
+     "end_time": "2023-07-10T22:28:53.778343Z",
+     "start_time": "2023-07-10T22:28:53.686832Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                         Environment  \\\n0                  N-acetylglucosamine degradation I   \n1    putrescine (ubiquitious regulator) biosynthesis   \n2            anaerobic growth using TMAO as acceptor   \n3  gluconoride transport + gluconoride and glucon...   \n4          N-acetylglucosamine degradation I CONTROL   \n5  putrescine (ubiquitious regulator) biosynthesi...   \n6    anaerobic growth using TMAO as acceptor CONTROL   \n7  gluconoride transport + gluconoride and glucon...   \n\n                       Genes                          Add  \\\n0         {EG10635, EG10633}  {N-acetyl-D-glucosamine[p]}   \n1                  {EG10959}                     {ARG[p]}   \n2  {EG11814, G7022, EG11815}      {TRIMETHYLAMINE-N-O[p]}   \n3         {EG11055, EG11658}     {Beta-D-Glucuronides[c]}   \n4                         {}                           {}   \n5                         {}                           {}   \n6                         {}                           {}   \n7                         {}                           {}   \n\n                 Remove Demand  \\\n0                    {}     {}   \n1                    {}     {}   \n2  {OXYGEN-MOLECULE[p]}     {}   \n3              {GLU[p]}     {}   \n4                    {}     {}   \n5                    {}     {}   \n6                    {}     {}   \n7                    {}     {}   \n\n                                           Reactions  \\\n0  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n1                                  {ARGDECARBOX-RXN}   \n2                  {RXN0-5264, RXN-19618, RXN-19619}   \n3                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n4  {TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...   \n5                                  {ARGDECARBOX-RXN}   \n6                  {RXN0-5264, RXN-19618, RXN-19619}   \n7                {BETA-GLUCURONID-RXN, TRANS-RXN-98}   \n\n                                          Substrates  \n0  [{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...  \n1         [{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]  \n2  [{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...  \n3  [{WATER, Beta-D-Glucuronides, D-Glucopyranuron...  \n4                                                 []  \n5                                                 []  \n6                                                 []  \n7                                                 []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>{EG10635, EG10633}</td>\n      <td>{N-acetyl-D-glucosamine[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[{N-acetyl-D-glucosamine, Hpr-pi-phospho-L-his...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>{EG10959}</td>\n      <td>{ARG[p]}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[{ARG, PROTON, CARBON-DIOXIDE, AGMATHINE}]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>anaerobic growth using TMAO as acceptor</td>\n      <td>{EG11814, G7022, EG11815}</td>\n      <td>{TRIMETHYLAMINE-N-O[p]}</td>\n      <td>{OXYGEN-MOLECULE[p]}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[{TRIMETHYLAMINE-N-O, Menaquinols, WATER, Mena...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{EG11055, EG11658}</td>\n      <td>{Beta-D-Glucuronides[c]}</td>\n      <td>{GLU[p]}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[{WATER, Beta-D-Glucuronides, D-Glucopyranuron...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>N-acetylglucosamine degradation I CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{TRANS-RXN-167, TRANS-RXN-167A, GLUCOSAMINE-6-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>putrescine (ubiquitious regulator) biosynthesi...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{ARGDECARBOX-RXN}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>anaerobic growth using TMAO as acceptor CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{RXN0-5264, RXN-19618, RXN-19619}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>gluconoride transport + gluconoride and glucon...</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BETA-GLUCURONID-RXN, TRANS-RXN-98}</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        Environment      Genes                 Add Remove  \\\n0          Testing L-Selenocysteine  {EG10941}  {SER[c], SEPO3[c]}     {}   \n1  Testing L-Selenocysteine CONTROL         {}                  {}     {}   \n\n                  Demand                                          Reactions  \\\n0  {L-SELENOCYSTEINE[c]}  {2.9.1.1-RXN, putative-L-selenocysteine-synthe...   \n1                     {}  {2.9.1.1-RXN, putative-L-selenocysteine-synthe...   \n\n      Substrates  \n0  [{Pi, SEPO3}]  \n1             []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{2.9.1.1-RXN, putative-L-selenocysteine-synthe...</td>\n      <td>[{Pi, SEPO3}]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{2.9.1.1-RXN, putative-L-selenocysteine-synthe...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1889,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -630,27 +653,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1890,
-   "id": "810fa6c8-b907-45b1-a1a7-d072f2295fe2",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:28.939797Z",
-     "start_time": "2023-07-10T17:12:09.816472Z"
-    }
-   },
+   "execution_count": 21,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Finished N-acetylglucosamine degradation I\n",
-      "Finished putrescine (ubiquitious regulator) biosynthesis\n",
-      "Finished anaerobic growth using TMAO as acceptor\n",
-      "Finished gluconoride transport + gluconoride and gluconorate catabolism\n",
-      "Finished N-acetylglucosamine degradation I CONTROL\n",
-      "Finished putrescine (ubiquitious regulator) biosynthesis CONTROL\n",
-      "Finished anaerobic growth using TMAO as acceptor CONTROL\n",
-      "Finished gluconoride transport + gluconoride and gluconorate catabolism CONTROL\n"
+      "Finished Testing L-Selenocysteine\n",
+      "Finished Testing L-Selenocysteine CONTROL\n"
      ]
     }
    ],
@@ -659,6 +669,29 @@
     "zero_df = pd.DataFrame()\n",
     "all_flux = []\n",
     "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}\n",
+    "\n",
+    "reactions_add = {\"putative-L-selenocysteine-synthesis\": {'SEPO3[c]': -1, 'SER[c]': -1, 'Pi[c]': 1, 'L-SELENOCYSTEINE[c]': 1}\n",
+    "                 # Insert other added reactions here\n",
+    "                 }\n",
+    "\n",
+    "for col_idx, (reaction, stoich) in enumerate(reactions_add.items()):\n",
+    "        new_col = np.zeros([len(metabolism.stoichiometry),1])\n",
+    "        metabolism.stoichiometry = np.append(metabolism.stoichiometry, new_col, axis=1)\n",
+    "\n",
+    "        for species, coefficient in stoich.items():\n",
+    "            i = metabolites_idx[species]\n",
+    "            metabolism.stoichiometry[i, np.shape(metabolism.stoichiometry)[1] - 1] = coefficient\n",
+    "\n",
+    "        # now adds an entry for every reaction, list can be empty\n",
+    "        reaction_catalysts[\"putative-L-selenocysteine-synthesis\"] = ['CPLX0-1141[c]']\n",
+    "        # 'EG10941-MONOMER[i]' should be the reaction catalyst?\n",
+    "        enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]\n",
+    "        metabolism.catalyzed_rxn_enzymes_idx.append(enzyme_idx)\n",
+    "\n",
     "for i in range(len(condition_df)):\n",
     "    condition_idx = i\n",
     "\n",
@@ -678,6 +711,10 @@
     "    uptake = uptake | addition\n",
     "    uptake = uptake - removals\n",
     "\n",
+    "    for gene in condition_df.at[i, \"Genes\"]:\n",
+    "        if gene in added_gene_to_reaction:\n",
+    "            metabolism.reaction_names.append(added_gene_to_reaction[gene])\n",
+    "\n",
     "    model = NetworkFlowModel(\n",
     "            stoich_arr=metabolism.stoichiometry,\n",
     "            metabolites=metabolism.metabolite_names,\n",
@@ -685,10 +722,8 @@
     "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
     "            kinetic_reactions=list(dict(kinetic).keys()),\n",
     "            free_reactions=FREE_RXNS)\n",
-    "\n",
     "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
     "\n",
-    "\n",
     "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
     "    solution: FlowResult = model.solve(\n",
     "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
@@ -723,7 +758,7 @@
     "            relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
     "\n",
     "        relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
-    "    \n",
+    "\n",
     "        relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
     "        zero_fluxes = relevant_fluxes[relevant_fluxes == 0]\n",
     "\n",
@@ -739,25 +774,32 @@
     "\n",
     "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
     "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-10T22:29:21.975330Z",
+     "start_time": "2023-07-10T22:28:53.740958Z"
+    }
+   }
   },
   {
    "cell_type": "code",
-   "execution_count": 1891,
+   "execution_count": 22,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:28.976773Z",
-     "start_time": "2023-07-10T17:12:28.952222Z"
+     "end_time": "2023-07-10T22:29:22.160768Z",
+     "start_time": "2023-07-10T22:29:21.864923Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                                       Environment  \\\n0                N-acetylglucosamine degradation I   \n0  putrescine (ubiquitious regulator) biosynthesis   \n\n                                            Reaction    Flux  log(Flux)  \n0               GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)  5222.0   3.717837  \n0  ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...  5563.0   3.745309  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>N-acetylglucosamine degradation I</td>\n      <td>GLUCOSAMINE-6-P-DEAMIN-RXN (reverse)</td>\n      <td>5222.0</td>\n      <td>3.717837</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>putrescine (ubiquitious regulator) biosynthesis</td>\n      <td>ARGDECARBOX-RXN[CCO-CYTOSOL]-ARG/PROTON//CARBO...</td>\n      <td>5563.0</td>\n      <td>3.745309</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment                             Reaction   Flux  \\\n0  Testing L-Selenocysteine  putative-L-selenocysteine-synthesis  100.0   \n\n   log(Flux)  \n0        2.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1891,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -770,7 +812,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1892,
+   "execution_count": 23,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -780,14 +822,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:28.977590Z",
-     "start_time": "2023-07-10T17:12:28.961389Z"
+     "end_time": "2023-07-10T22:29:22.162005Z",
+     "start_time": "2023-07-10T22:29:21.927816Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1893,
+   "execution_count": 24,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -803,19 +845,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:29.000381Z",
-     "start_time": "2023-07-10T17:12:28.972219Z"
+     "end_time": "2023-07-10T22:29:22.162977Z",
+     "start_time": "2023-07-10T22:29:21.948237Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 1894,
+   "execution_count": 25,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 600x600 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": "<Figure size 300x600 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -835,8 +877,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-10T17:12:29.810653Z",
-     "start_time": "2023-07-10T17:12:29.038533Z"
+     "end_time": "2023-07-10T22:29:24.621883Z",
+     "start_time": "2023-07-10T22:29:21.980416Z"
     }
    }
   }
diff --git a/notebooks/new_environments/~$new_genes.xlsx b/notebooks/new_environments/~$new_genes.xlsx
deleted file mode 100644
index 5a932052db2a5d1e1d32a453f59be330b8becc3b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 165
zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx
R#Z!U2P@qgIP=x};5CA3W7%cz*

diff --git a/notebooks/new_environments/~$temp.xlsx b/notebooks/new_environments/~$temp.xlsx
deleted file mode 100644
index 5a932052db2a5d1e1d32a453f59be330b8becc3b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 165
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R#Z!U2P@qgIP=x};5CA3W7%cz*


From cd04537b3f825c91538fb82271549a7c02c5b431 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 12 Jul 2023 10:50:40 -0700
Subject: [PATCH 37/58] Test adding a putative Fe-S cluster synthesis pathway
 in a separate notebook

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 610 ++++++++++++++++++
 .../test_environments_new.ipynb               |  17 +-
 2 files changed, 622 insertions(+), 5 deletions(-)
 create mode 100644 notebooks/new_environments/Fe_S_pathway.ipynb

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
new file mode 100644
index 000000000..31aa9fa2d
--- /dev/null
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -0,0 +1,610 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 355,
+   "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:19.249069Z",
+     "start_time": "2023-07-12T17:11:19.061463Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
+    "\n",
+    "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a143cbbb-3570-4548-bc24-f499c070a880",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Import simulation output\n",
+    "\n",
+    "Before running this, I ran a sim in ecoli/experiments/metabolism_redux_sim.py with -n 2 to generate a simulation output. This is necessary to replicate the simulation environment, where we e.g. have dynamic demand for amino acids and nucleotides, and varying cell volumes.\n",
+    "\n",
+    "You don't have to do this for now. We'll use a single time step from the simulation output to test the network flow model on its own."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 356,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-06-26'\n",
+    "experiment = 'fba-redux'\n",
+    "entry = f'{experiment}_{time}_{date}'\n",
+    "folder = f'out/fbagd/{entry}/'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:19.311558Z",
+     "start_time": "2023-07-12T17:11:19.088484Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 357,
+   "outputs": [],
+   "source": [
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "# output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:21.544481Z",
+     "start_time": "2023-07-12T17:11:19.104231Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 358,
+   "outputs": [],
+   "source": [
+    "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:25.269951Z",
+     "start_time": "2023-07-12T17:11:21.551914Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 359,
+   "outputs": [],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
+    "maintenance = pd.DataFrame(fba[\"maintenance_target\"][1:], columns=['maintenance_reaction']).iat[24, 0]\n",
+    "kinetic = pd.DataFrame(fba[\"target_kinetic_fluxes\"], columns=metabolism.kinetic_constraint_reactions).loc[24, :]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:25.365464Z",
+     "start_time": "2023-07-12T17:11:25.283457Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28db669f-93f3-4f5c-aea0-e23b6a811660",
+   "metadata": {},
+   "source": [
+    "## Connect to EcoCyc to go from Genes -> Reactions\n",
+    "\n",
+    "We use the EcoCyc API to automatically figure out what are made possible by the genes we are adding. While reactions are always possible, enzymes make them faster to the point that it is useful to the cell."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 360,
+   "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.042970Z",
+     "start_time": "2023-07-12T17:11:25.367327Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 360,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 361,
+   "outputs": [],
+   "source": [
+    "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
+    "                          \"G7325\": \"cysteine-desulfurase-FeS-cluster-assembly\",\n",
+    "                          \"EG12132\": \"iron-transport-FeS-cluster-assembly\",\n",
+    "                          \"G7324\": \"complex-formation-FeS-cluster-assembly\",\n",
+    "                          \"EG12130\": \"cluster-transport-FeS-cluster-assembly\"\n",
+    "                          # Missing HscB with HscA complex\n",
+    "                          }"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.055204Z",
+     "start_time": "2023-07-12T17:11:26.046570Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 362,
+   "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.145449Z",
+     "start_time": "2023-07-12T17:11:26.065020Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                 Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 362,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_df = pd.read_excel(\"notebooks/new_environments/temp.xlsx\")\n",
+    "condition_df[\"Genes\"] = condition_df[\"Genes\"].apply(lambda x: set(x.split(\", \") if x == x else set()))\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Reactions\"] = [[np.nan]] * len(condition_df)\n",
+    "condition_df[\"Substrates\"] = [[np.nan]] * len(condition_df)\n",
+    "\n",
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 363,
+   "outputs": [],
+   "source": [
+    "length = len(condition_df.index)\n",
+    "\n",
+    "for i in range(length):\n",
+    "    genes = condition_df.loc[i, \"Genes\"]\n",
+    "    rxn_set = set()\n",
+    "    added_rxn_set = set()\n",
+    "\n",
+    "    for gene in genes:\n",
+    "        function = \"reactions-of-gene\"\n",
+    "        name = gene\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        if gene in added_gene_to_reaction.keys():\n",
+    "            added_rxn_set.add(added_gene_to_reaction[gene])\n",
+    "        else:\n",
+    "            o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "            if type(o) is dict:\n",
+    "                o = [o]\n",
+    "\n",
+    "            for rxn in o:\n",
+    "                if type(rxn) is not str: # no rxns\n",
+    "                    rxn_set.add(rxn['@frameid'])\n",
+    "                else:\n",
+    "                    print(gene, rxn)\n",
+    "\n",
+    "\n",
+    "\n",
+    "    overall_list = []\n",
+    "    for reaction in rxn_set:\n",
+    "        compound_set = set()\n",
+    "        function = \"substrates-of-reaction\"\n",
+    "        name = reaction\n",
+    "        req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Compound']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for compound in o:\n",
+    "            if type(compound) is not str:\n",
+    "                compound_set.add(compound['@frameid'])\n",
+    "            else:\n",
+    "                print(reaction, compound)\n",
+    "\n",
+    "        overall_list.append(compound_set)\n",
+    "\n",
+    "    condition_df.at[i, \"Reactions\"] = rxn_set | added_rxn_set\n",
+    "    # condition_df.at[i, \"Reactions\"].update(added_rxn_set)\n",
+    "    condition_df.at[i, \"Substrates\"] = overall_list\n",
+    "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
+    "    # This is to create the control"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.555373Z",
+     "start_time": "2023-07-12T17:11:26.161786Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 364,
+   "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:26.614637Z",
+     "start_time": "2023-07-12T17:11:26.584825Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                 Demand  \\\n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}   \n2                  {}     {}                     {}   \n3                  {}     {}                     {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 364,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bed4cb3d-8c43-44a6-9677-2769b81ade20",
+   "metadata": {},
+   "source": [
+    "## Quick and dirty but workhorse loop (after init)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 365,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished Testing L-Selenocysteine\n",
+      "Finished Testing Fe-S Clusters\n",
+      "Finished Testing L-Selenocysteine CONTROL\n",
+      "Finished Testing Fe-S Clusters CONTROL\n"
+     ]
+    }
+   ],
+   "source": [
+    "results_df = pd.DataFrame(columns=[\"Environment\", \"Reaction\", \"Flux\"])\n",
+    "zero_df = pd.DataFrame()\n",
+    "all_flux = []\n",
+    "\n",
+    "reactions_add = {\"putative-L-selenocysteine-synthesis\": {'SEPO3[c]': -1, 'SER[c]': -1, 'Pi[c]': 1, 'L-SELENOCYSTEINE[c]': 1},\n",
+    "                 \"cysteine-desulfurase-FeS-cluster-assembly\": {'CYS[c]': -1, 'L-ALPHA-ALANINE[c]': 1, 'S-SULFANYL-IscS[c]': 1},\n",
+    "                 \"iron-transport-FeS-cluster-assembly\": {'FE+2[c]': -1, 'DISORDERED-FdS-IscU[c]': 1},\n",
+    "                 \"complex-formation-FeS-cluster-assembly\": {'DISORDERED-FdS-IscU[c]': -1, 'S-SULFANYL-IscS[c]': -1, 'S-SULFANYL-DISORDERED-FdS-IscU[c]': 1},\n",
+    "                 \"cluster-transport-FeS-cluster-assembly\": {'S-SULFANYL-DISORDERED-FdS-IscU[c]': -1, 'ATP[c]': -1, 'ADP[c]': 1, 'CPD-6[c]': 1}\n",
+    "                 # Insert other added reactions here\n",
+    "                 }\n",
+    "\n",
+    "metabolites_add = ['S-SULFANYL-IscS[c]', 'DISORDERED-FdS-IscU[c]', 'S-SULFANYL-DISORDERED-FdS-IscU[c]', 'CPD-6[c]']\n",
+    "\n",
+    "catalyst_add = {\"putative-L-selenocysteine-synthesis\": 'CPLX0-1141[c]',\n",
+    "                \"cysteine-desulfurase-FeS-cluster-assembly\": 'G7325-MONOMER[c]',\n",
+    "                \"iron-transport-FeS-cluster-assembly\": 'EG12132-MONOMER[c]',\n",
+    "                \"complex-formation-FeS-cluster-assembly\": 'G7324-MONOMER[c]',\n",
+    "                \"cluster-transport-FeS-cluster-assembly\": 'HSC-Complex[c]'}\n",
+    "\n",
+    "for i in range(len(condition_df)):\n",
+    "    metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "    reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
+    "    metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "    catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}\n",
+    "\n",
+    "    new_stoich = metabolism.stoichiometry.copy()\n",
+    "    new_metabolites = metabolism.metabolite_names.copy()\n",
+    "    new_reaction_names = metabolism.reaction_names.copy()\n",
+    "\n",
+    "    condition_idx = i\n",
+    "\n",
+    "    uptake = metabolism.allowed_exchange_uptake\n",
+    "\n",
+    "    homeostatic = dict(pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :])\n",
+    "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
+    "    if new_demand != set():\n",
+    "        for met in new_demand:\n",
+    "            homeostatic[met] = 100\n",
+    "\n",
+    "    uptake = set(uptake)\n",
+    "\n",
+    "    addition = condition_df.at[condition_idx, \"Add\"]\n",
+    "    removals = condition_df.at[condition_idx, \"Remove\"]\n",
+    "\n",
+    "    uptake = uptake | addition\n",
+    "    uptake = uptake - removals\n",
+    "\n",
+    "    for reaction in condition_df.at[condition_idx, \"Reactions\"]:\n",
+    "        if reaction in catalyst_add:\n",
+    "            catalyst_idx[catalyst_add[reaction]] = len(catalyst_idx)\n",
+    "\n",
+    "        if reaction in reactions_add:\n",
+    "            for metabolite in reactions_add[reaction]:\n",
+    "                if metabolite in metabolites_add:\n",
+    "                    new_row = np.zeros([1, np.shape(new_stoich)[1]])\n",
+    "                    new_stoich = np.append(new_stoich, new_row, axis=0)\n",
+    "                    new_metabolites.append(metabolite)\n",
+    "                    metabolites_idx[metabolite] = len(metabolites_idx)\n",
+    "\n",
+    "            new_reaction_names.append(reaction)\n",
+    "            new_col = np.zeros([len(new_stoich),1])\n",
+    "            new_stoich = np.append(new_stoich, new_col, axis=1)\n",
+    "\n",
+    "            for species, coefficient in reactions_add[reaction].items():\n",
+    "                i = metabolites_idx[species]\n",
+    "                new_stoich[i, np.shape(new_stoich)[1] - 1] = coefficient\n",
+    "\n",
+    "            # now adds an entry for every reaction, list can be empty\n",
+    "            reaction_catalysts[reaction] = [catalyst_add[reaction]]\n",
+    "            # Taken from reconstruction/ecoli.../complexation reactions to find the complex that the gene forms\n",
+    "            enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]\n",
+    "            metabolism.catalyzed_rxn_enzymes_idx.append(enzyme_idx)\n",
+    "\n",
+    "    model = NetworkFlowModel(\n",
+    "            stoich_arr=new_stoich,\n",
+    "            metabolites=new_metabolites,\n",
+    "            reactions=new_reaction_names,\n",
+    "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
+    "            free_reactions=FREE_RXNS)\n",
+    "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
+    "\n",
+    "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
+    "    solution: FlowResult = model.solve(\n",
+    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "                maintenance_target=maintenance,\n",
+    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "                binary_kinetic_idx=[],\n",
+    "                objective_weights=objective_weights,\n",
+    "                upper_flux_bound=100000000)\n",
+    "\n",
+    "    # Check flux\n",
+    "    fluxes = pd.Series(solution.velocities, index=new_reaction_names)\n",
+    "    # fluxes = pd.DataFrame({model.rxns[i]: [solution.velocities[model.rxns[i]]] for i in range(len(model.rxns))}).T\n",
+    "    fluxes.columns = [\"Flux\"]\n",
+    "    all_flux.append(fluxes)\n",
+    "\n",
+    "    if condition_df.at[condition_idx, \"Environment\"][-7:] == \"CONTROL\":\n",
+    "        control_df = pd.DataFrame()\n",
+    "        flux_threshold = 100\n",
+    "        for j, k in enumerate(fluxes.index):\n",
+    "            mask = abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold\n",
+    "            if mask.any():\n",
+    "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          fluxes.index[j],\n",
+    "                         (all_flux[condition_idx - length][k] - fluxes[k]) / (fluxes[k] + 0.01) ]], columns=[\"Environment\", \"Reaction\", \"(Experiment - Control)/(Control + 0.01) Flux\"]))\n",
+    "        if len(control_df) > 0:\n",
+    "            control_df = control_df.sort_values(by=[\"(Experiment - Control)/(Control + 0.01) Flux\"], ascending=False)\n",
+    "        # Getting some weird issues with logic on series\n",
+    "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
+    "    else:\n",
+    "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
+    "        relevant_rxn_idx = []\n",
+    "\n",
+    "        for rxn in relevant_rxns:\n",
+    "            relevant_rxn_idx.extend(list(np.where(fluxes.index.str.contains(rxn))[0] ))\n",
+    "\n",
+    "        relevant_fluxes = fluxes.iloc[relevant_rxn_idx]\n",
+    "\n",
+    "        relevant_nonzero_fluxes = relevant_fluxes[relevant_fluxes != 0]\n",
+    "        zero_fluxes = relevant_fluxes[relevant_fluxes == 0]\n",
+    "\n",
+    "        for j, k in enumerate(relevant_nonzero_fluxes.index):\n",
+    "            results_df = results_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          relevant_nonzero_fluxes.index[j],\n",
+    "                          relevant_nonzero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "        for j, k in enumerate(zero_fluxes.index):\n",
+    "            zero_df = zero_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
+    "                          zero_fluxes.index[j],\n",
+    "                          zero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
+    "\n",
+    "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
+    "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.162735Z",
+     "start_time": "2023-07-12T17:11:26.626584Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 366,
+   "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.196351Z",
+     "start_time": "2023-07-12T17:11:44.171871Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 366,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
+    "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
+    "results_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 367,
+   "outputs": [],
+   "source": [
+    "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
+    "# g = sns.catplot(y=\"Environment\",hue=\"Reaction\", x=\"log(Flux)\", data=results_df, kind=\"bar\", aspect=2, height=10, sharey=False)\n",
+    "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.196625Z",
+     "start_time": "2023-07-12T17:11:44.179350Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 368,
+   "outputs": [],
+   "source": [
+    "import textwrap\n",
+    "\n",
+    "def wrap_x_labels(ax, width, break_long_words=False):\n",
+    "    labels = []\n",
+    "    for label in ax.get_xticklabels():\n",
+    "        text = label.get_text()\n",
+    "        labels.append(textwrap.fill(text, width=width,\n",
+    "                      break_long_words=break_long_words))\n",
+    "    ax.set_xticklabels(labels, rotation=0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.197304Z",
+     "start_time": "2023-07-12T17:11:44.190801Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 369,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 600x600 with 1 Axes>",
+      "image/png": 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naOW3xLTnlStX1KdPH0lRveNq1qxpvs7GjRvVs2dP9ezZUxs2bFDWrFlfeu9Nmzbp9OnTKleunObMmWP+Wn348KG8vb31zz//aMuWLapTp47y58+v999/X35+ftq6dWuM9l6xYoUMBkOMFbkS+nwva3OT4OBgrV69WgULFpQk3bt3T56engoMDNSaNWv06aefmp+hW7duCg4O1oABA+Tt7W3+2jp06JA6deqkwYMHq3jx4ipatKgkacKECTIajZo1a1a09+qSJUvMX1Om1+J12xPWhR4/AAAAsJisWbNq2LBh5tBHihrWValSJQUFBb30N9ivInXq1KpcubK+++478wcfSTIYDPL29pYU9WHt2bNnr3R9U8j07yFjwcHB2rlzp1KlSqVatWpJiuqZ4ePjo1SpUkULNyQpbdq0GjVqlOzt7bVo0SKLDcMwDVHJmTOn+YOpJGXPnl3Dhg3TyJEjzR+YQ0NDNW/ePEnSmDFjzKGPJKVMmVJDhgxRhgwZtGXLFnPvldi8brv069fPXJMk5cqVSx999JGkqGFIJrNnz5Ykde3aNdoHaUlq1KiRWrVqpdDQUM2dO9e8/ffff5ckDRo0yBz6SFHvq759++q9997TnTt3JEl169ZVqlSptG/fvmhDfYxGo1auXCmDwaAmTZqYn9loNCp16tTRJgu3tbVVjx49NGDAADVo0CDONjP5+++/tX//fuXMmVODBw82hz6S5OLiYh6WOGvWrJdeyySh7Tl//nw9f/5c7du3jxb6SFLt2rXVrFkzPX78WH/88UeC7mtqMxcXl2hfq2nTptWgQYP0888/m0MRSfLy8pKkaMM6Jenw4cO6cuWKypUrZ+759yrPlxDffPONOfSRpIwZM5q/J5w+fdq8fdmyZQoKClK9evXUqlWraF9bZcuWVadOnRQeHq45c+aYt5va49/P0KxZM/Xv3189evSItydXYtsT1oPgBwAAABZTq1atWFcSMgUj+/btS/J7fvXVV5o5c2a0iU+fPHmiEydOaPXq1eZtrzrkoXz58sqWLZuOHTumGzdumLdv3LhRz58/V+3ateXo6Cgp6jf74eHhKlq0aLRww8TFxUWFCxfWs2fPdOzYsVeq53V5eHhIiurJ0717d/n4+JiDjSpVqqhRo0bm3hv//POPHj58qOzZsytv3rwxruXk5KRy5crJaDTqwIEDcd7zddrFxsbG3PvoRaYeNKY5eCIiIuTn5ydJqlevXqx1mLb/9ddfkqLCmcuXL8vJyUkffPBBjOPff/99bd68Wf379zc/b7169RQZGSkfHx/zcQcPHtS1a9f0wQcfKGfOnJKihhGmT5/e3NtkxowZ+ueff2Q0GpU9e3a1atVK77//fpxtZmKqtUyZMtECVZMSJUooQ4YMCgwM1OXLl196vYS2pxQ1/4wkVahQIdZrVatWTZLife1fZHrv+fr66osvvtCSJUvk7+8vKer5mjZtGi18q127ttKmTRsjaFu+fLmk/w0He9XnS4h/z6kjyRyABgcHm7eZ2iq295H0v7YyvZ7S/9qjZcuWGjlypPbv36/Q0FDZ2NioTZs2qlWrVrQA6d8S256wHgz1AgAAgMXE9SEjW7ZskhTnhKivKzAwUIsWLdKhQ4d05coV3bt3T5KifWh61WWbbWxs1LBhQ02bNk1r165Vp06dJP1vmNeLw85MEzwfOnQoznmDTAICAiRJw4YNi3X+oM6dO7/SKj6bN2/W5s2bY2wvW7asmjdvrk8++URnzpzRzJkztXHjRm3cuFGSVKRIEdWoUUMtWrRQpkyZoj3PzZs3X/o8L05uHde+xLSLiZOTU7TeDCZ2dlEffSIjIyVFze0SGhqqFClSmD/k/1uuXLkkRQU+L/7XxcVFNjYJ+x168+bNtWTJEq1atUpffvmlpP8FES8OO0qZMqUmTZqkb7/9VufOndOYMWM0ZswYZcyYUVWqVFGTJk1iDRX+zdR2Pj4+0cKm2AQEBMQa0L0ooe1pup4ktWnTJkE1Hj58WIsXL46xP3/+/OrcubNKlCihAQMGaNSoUdqzZ4/27NkjKer7hum9Z3qNpKg2bNCggRYsWCAfHx99+eWXCgkJ0caNG5U2bVpzoPyqz5cQadKkibHNNKdQeHi4eZuprfr3728OCmNz584dhYWFyd7eXkOGDFG3bt107NgxzZkzR3PmzJGjo6PKly+vevXqqU6dOvG+LxPbnrAeBD8AAACwmLg+pJhCF9OHr/hEREQk6p6bNm1Sz549FRYWpsyZM6tEiRLKly+fChcurHLlyqlKlSqJul5sPD09owU/AQEBOnTokHLlyhWt14bpOfPmzSs3N7d4r2kairJ161bzb+lf1KxZs1cKfs6ePRtjWJoU1fbNmzeXJPXo0UPe3t7aunWr9u7dKz8/P50+fVqnT5/WvHnzNG/ePLm5uZmfJ2vWrCpXrly89zVNmB2bV2kXk/h6PMR2j/iY3lumnjOmD+4JvYckFStWTMWKFdOpU6d07NgxFShQQJs3b1a6dOlUo0aNaMeWKVNGW7du1Z49e7Rr1y4dOHBAV65c0cqVK7Vy5Up16tRJPXr0iPd+pqCiWLFi8baxFHtI8W+JeVbTvWvXrh1rmGJiGn527dq1WN975cqVU+fOnSVJrVq1Ut26dbVt2zbt2bPHHNbOmjVL8+fP16RJk1S1alXzuc2aNdOCBQvMQduGDRv09OlTNW3aNNbehYl5voRIaCBoaqvKlSsrbdq08R4bHh4ue3t7Zc2aVUuWLNHRo0e1Y8cO7d+/X6dOndKOHTu0Y8cOLV26VLNnz4637RPbnrAOBD8AAACwmLh69JiGSJmGSJg+nL34G3OTR48eJfh+T5480ffff6+wsDD9+OOPMebWePDgQYKvFZ/33ntPpUuX1pEjR3Tu3Dnt3LlTRqNRjRo1ina/zJkzS4r6kB7XZLH/tn379iSp0aRr167xTlhtkjVrVrVq1UqtWrVSZGSkjh07ptGjR8vPz0/jxo3TrFmzzM+TPXv2BD9PbF6lXRIrXbp0cnBw0PPnz3X79u1Ye/1cu3ZNksw9mkx1BQYGymg0xhoa/PHHH8qaNauqVq1q7unRrFkznTp1Shs2bJCbm5uePXum5s2bxzoUy8HBQR999JF5jhlT77Rp06ZpxowZ8vb2jndiZNNzVKpU6aUhUVLLnDmz/P391aNHjwQNGfL09IzWAy4u6dKlU5MmTczzIZ05c0YTJkzQtm3bNHLkyGhBhWk1tePHj+vMmTPmyZj/PamzpWXOnFmXL19W27Zt9eGHHybqXHd3d7m7u0uKWp59y5YtGjJkiA4cOJCgyZkT056wDszxAwAAYCGpU6VI9n/eNFMg8m+bNm2SFPXbcOl/PQRMc8u86MiRI7FeO7YP5efPn1dwcLDSp0+vTz/9NMYxu3fvNv/9xSEer9IrwPSBdsuWLVq/fr0MBoMaNWoU7ZiyZcvKYDBo3759sc4l8uTJEzVo0EAtW7bUxYsXE11DUvjhhx/04YcfmufDkaJ6NZQuXVrdu3eX9L9hK8WLF5ejo6NOnjwZa6hnNBrVunVreXl56eDBg3He8220i52dnUqXLi1JMZZsNzFtN82NkiNHDmXLlk2PHz+Otf4zZ85o0KBB+umnn6ItGV6/fn05OTlp8+bN2rJli6SY881s27ZNH3/8sQYOHBhtu4uLi3r06KEcOXIoMjLS3K5xvSdNPa22b98e69dWYGCgatWqpdatWydZ0Gliaqdt27bFun/+/PmqV6+exo4dm6DrTZw4UVWqVInRK6hw4cLm4VH/Huon/W+S52XLlungwYNyc3NT4cKFE/wccUnK3kEva6vNmzerdu3a6tevn6So4XGNGjWKMcG3s7OzGjdubB7GFt8QyldtT7z76PEDAABgIaN71bd0CRZn+k1zt27dzB+qZs6cqb/++ku5c+c2D4UpXLiweSiDp6enUqVKJUk6evRotBWXXpQyZUpJ0XsEmSYKvn//vg4fPhxtzpT9+/ebVzySpOfPn8e41sOHDxP8bJ988ol+/vlnLVu2TAEBASpXrpx5Il+TnDlzqlatWtq0aZN69OihYcOGKUOGDJKiVsj68ccfdfbsWeXLl++lw3beFBcXF929e1djxozRjBkz5OzsLCkqGFu7dq2kqLlDJMnR0VEtW7bUnDlz1LVrV40ZM8Y8Z0hERITGjBmjgwcPKl26dPEO4Xpb7dKuXTv99ddfmjBhglxdXaNNtOvj46PFixfL3t7evNqbFLXq3KhRo/TTTz9pzpw55vmoHj16pJ9++knS/4IHE2dnZ33yySdasWKFAgMDVapUqWgrP0lRPVWuXr2qwMBANWzY0BxKSVGTIQcEBChVqlTm531x2NLDhw/Nw4XKlSun4sWL68SJE/rhhx/Uv39/89dLSEiIevfuratXrypXrlzRVg9LCm3atJGvr68mTpyoHDlyqHbt2uZ9fn5+mjBhgkJCQszzXr1Mzpw5FRgYqEmTJql8+fLmHleSzBOxFy9ePMZ5derU0fDhw/XHH38oMjIy1kmdX0Vcbf4qvLy8NGfOHC1evFj58+ePtpz7xYsXNXToUN26dUuNGzeWFNWLLjg4WDdu3NC8efPUtm1b87Vu3bplniza9LUYm1dtT7z7CH4AAABgMdmyZdOUKVO0YcMGubq66uLFizp//rzSp0+vMWPGmAOXFi1aaNGiRTp37pxq1aql0qVL6+7duzp69Kjq1q0b6+TEpklrJ02aJD8/PzVs2FA1atRQrVq1tHnzZn322WcqU6aM0qVLp8uXL+vcuXNKnz69MmfOrDt37uju3bvmITWmD9tLly5VQECAqlSpEuPD/b85OzurRo0a5t+uxzWkZfDgwbp27Zp27NihGjVqyM3NTalSpdLx48d17949pU+fXhMmTEh0b4OjR4/GO4TExcVFK1aseOl12rVrp61bt8rPz0/Vq1dXyZIl5eDgoNOnT8vf319Zs2aNNlSsR48eOnv2rP7880/VrVtXbm5uypAhg06dOqWbN28qZcqUmjBhQrRlxmPzptrlRVWqVFHXrl01ceJEff755ypZsqSyZ8+uixcv6ty5c3JwcNCQIUOi9RZp27atjhw5oq1bt6p27doqV66cbG1tdfToUT148EBlypRRx44dY9yrefPmWrFihSIjI2MddpQzZ051795d48aNk7e3t0qVKqUsWbLo9u3bOnbsmIxGo/r162cO3hwcHJQzZ07duHFDn376qfLkyaMRI0YoVapU+vXXX9WmTRstX75cW7dulZubm2xtbXXkyBEFBwcrd+7cGjZs2Cu3W1wKFy6sgQMH6qefflL37t2VP39+5cuXT3fv3jU/g7e3d5yrqP1bgwYNtG7dOu3Zs0c1a9ZU6dKl5ezsrAsXLujixYtydnaOdWJk02pqixcvNv89KcTX5omVJUsWjR07Vt27d9fgwYM1Z84cubq6Kjg4WH5+foqIiFD16tXVrl078znDhg1T+/btNXz4cC1ZskQFChTQkydP5Ofnp6dPn6phw4bxzq31qu2Jdx9DvQAAAGAxNWvWNIcAO3bsUEhIiFq0aKGVK1dG+821i4uLlixZonr16ikiIkI7d+5USEiIvv/+e/3yyy+xXrtt27aqV6+ejEajdu/erRMnTkiSxowZo169eil//vw6ceKEdu3apfDwcH3++edas2aNPvnkE0mKFibVq1dPrVq1kqOjo3bv3q3Dhw8n6PlMYY+Tk5M+/vjjWI9Jly6dFi9erN69eytv3rw6ceKE/vrrL6VPn17t2rXT6tWrY/QOSYiwsDDdvXs3zj/3799P0HWcnJw0f/58dejQQZkyZdKBAwe0Z88eOTg4qF27dvLx8THPxSRFfTieOXOmhgwZIjc3N509e1a7d++Wg4ODvLy8tHr1avMwl/i8qXb5t6+//lrz5s1TtWrVdO3aNW3dulWPHz9W06ZNtWLFihjD82xtbTVx4kQNHTpURYoU0eHDh7V3715lzpxZPXv21Ny5c2OdRLho0aJydHSUk5NTnHOwdO7cWaNHj1bZsmV16dIlbdu2TdevX1fNmjW1cOHCGD1XRo0apSJFiujy5cs6ePCgrl+/LilqNbJVq1apS5cuypIliw4fPqwjR44oR44c6tatm5YvXx7vPEGvw8vLy/y1GhwcrJ07d8rf318VKlTQ5MmTNWDAgARfy9bWVpMmTTLPGXTkyBFt375dz58/V4sWLeTr66siRYrEeq5pEvXatWubw7KkEFebv4qqVavKx8dHzZo1M3+funjxokqVKqURI0Zo4sSJ0SZq9vDw0MKFC/Xxxx8rODhY27dv199//y03NzeNHDlSI0eOjPd+r9OeeLcZjK+6TiWSvdDQUPMPOC8qXrx4rBPJAQCS1vGJ3yj8aYily7Bado7OKtl13Bu5dmL+DQ0PD9f58+ejbStYsGCCVqP6L5s4caImTZqkzz77TN9//72lywHeuE2bNqlbt25q3ry5Bg8ebOlyrF6nTp20Y8cOLV682DwRMmAJyeHnBHr8AAAAAMAb8OzZM0lRq9SNHTtWBoNBn376qYWrsl6m9vb19dXOnTtVvHhxQh9AzPEDAAAAAG/EvHnzNGXKFIWGhspoNMrLy0uFChWydFlWq2HDhgoICNDz589lY2Ojvn37WrokIFmgxw8AAAAAvAGFCxeWvb290qRJo08//VQ//vijpUuyau7u7oqMjFSePHk0bty4aKv2Af9lzPFjxZjjBwAsizl+3izm+AEAAMldcvg5gR4/AAAAAAAAVorgBwAAAAAAwEoR/AAAAAAAAFgpBp8nwF9//aU2bdrEud/JyUlHjx59ixUBAAAAAAC8HMFPApw6dUpS1ISOefLkibE/RYoUb7kiAAAAAACAlyP4SQBT8NO9e3dVqlTJwtUAAAAAAAAkDHP8JIAp+HFzc7NwJQAAAAAAAAlHj5+XCAkJ0dWrV5UjRw6lT5/e0uUkifDwcBkMBkuXAQBWx97e3tIl/OeFhYUlyXXCw8OT5DoAAACWRvDzEqdPn5bRaNR7772nKVOmaMOGDbp27ZqcnZ31wQcfqEuXLsqbN6+ly0yU06dPW7oEALA6dnZ2KlmypKXL+M/7559/CG0AAABewFCvlzAN89q3b5+mTZumLFmyyMPDQ5Lk6+srT09PHThwwJIlAgAAAAAAxIoePy9hCn5Kly6tCRMmKHPmzJKk0NBQjRgxQgsXLtQ333yjLVu2yNnZ2ZKlAgAA4DUYjUaGwwN4ZXwPQXJFj5+X+Pnnn7Vx40bNnDnTHPpIkoODg77//nsVKVJEQUFB8vX1tWCVAAAAeFUXLlxQu3bt5O/v/1rXuXHjhlxdXVWmTJkkquztWLlypVxdXdWlSxdLlxKvAwcOyNXVVQ0bNoy23Wg0asaMGapZs6bc3Nzk4eGhefPmWabIZMbUZgn58+92fVVnzpzRgAED9PHHH8vd3V2lSpVS9erV1bNnT+3cuTNJ7hGfvn37ytXV9a2/B44dO6amTZu+1XsifhMnTpSrq6t+/vnnBJ/TunVrubq6auvWrW+wsrePHj8v4eDgEOccPra2tqpatapOnz6tEydOvOXKXl2RIkWYgBQAYJWKFi2aJNcJCwt7K3PinZr1o8KfBr/x+7wqO8fUKvbFEEuX8ca1atVKDx48sHQZeEWrV6/WmDFjZGdnp/LlyytVqlRydXW1dFnJipOTkz766KN4j8mRI8dr32fWrFkaM2aMjEajihQpokqVKik8PFw3btzQ2rVrtXbtWtWsWVO//vqrVX0eCQkJUYsWLWQ0Gi1dChArgp/XlC1bNknS06dPLVxJwtnZ2VnVN1oAAEyS6t+3t/XDe/jTYIU/DXkr90LcIiIikuQ6WbNm1fr162Vra5sk10PCHDlyRJL06aefql+/fhauJnlKnz69Ro8e/UbvcfjwYf3yyy9Knz695syZEyOIP3nypLp06aItW7Zo4sSJ+vbbb99oPW9TZGQkoQ+SNYZ6xSM0NFQDBgzQV199pXv37sV6TEBAgKT/BUAAAAD4b7K3t1f+/PmVJ08eS5fynxIaGiqJn8ctbcWKFZKkTp06xdr70s3NTUOGRPUgXLRo0VutDfivI/iJh4ODg/bu3autW7dq27ZtMfaHhoZq/fr1kqTKlSu/7fIAAACswu7du9WpUydVrFhRpUqVUt26dTV27Fg9fPhQQUFBcnNzU5EiRXTr1q1Yzx80aJBcXV21cOFC87YNGzaobdu2qlixotzc3FS1alV999130Ybwmea2CQ6OGm730UcfydXVVTdu3DAfExoaqgULFqhp06bm+Uo8PT21YMEChYWFRasjrjl+XF1dVbNmTT179kzjxo1TrVq1VLx4cVWsWFH9+vWLdr8X+fv7a+DAgapevbrc3NxUvnx5denSRUePHk1cA/+/gIAADRgwQNWqVVOJEiXUoEED84f1uAQFBWnUqFH6+OOPVbx4cZUtW1bt2rXTrl27Yj3+5MmT6tatm2rUqGGu+Ysvvoh1vgzT3DKPHj2KsW/evHlydXVV375946zN9PqtWrVKkjR8+HC5urqqdevWkuKf6+XRo0fm+7+oevXqKlq0qK5fv65WrVrJzc1NFStWNN9Diuph1LNnT1WvXl0lSpRQyZIlVbNmTQ0aNEiBgYGv1SaS9PjxY02ZMkX169dXyZIlVbp0aXl7e8vHx+et9yrZsWOH2rdvLw8PDxUvXly1atXSyJEjdf/+/RjHmn5RHt/kxhUqVFC9evVUp04dPXv2LFG13L9/X+PGjVPdunVVqlQpVaxYUe3bt9e+ffteeu7L5nopU6ZMjK99o9GoxYsXq2XLlqpQoYJKlCihGjVqaMCAAbp+/Xq0a5ctW9b8/7G9rxLzmprmZfr+++/l4+OjqlWrqnjx4qpTp06cnRH+zd/fXz///LPq1asnd3d38/u4W7duOn78eIzj79y5oyFDhpjbtkyZMvLy8tK8efPMwWpi2+VF586d03fffadKlSqZa+nZs6cuXLgQ41jT1+2xY8e0ceNGeXl5qVSpUipfvrx69uyp27dvS5K2bNmi5s2bq1SpUqpcubJ69uwZ69efyZ9//qmWLVuqZMmS8vDwUNeuXXXy5MmXtuWIESPk6uqqAQMGxLr/9u3bKlq0qCpWrJhkvUffBIKfl/D29pYkjRkzRmfOnDFvf/bsmfr376+rV6+qXLlyqlChgqVKBAAAeGf98ssv6tChg3bt2qXcuXOrUqVKCg4O1vTp09WiRQvZ2NioZs2aioyM1OrVq2Oc//z5c61du1YpU6ZUgwYNJEkzZszQN998o8OHDyt//vyqXr26UqVKJV9fX3l5ecnPz0+SlDt3btWvX988RLBGjRqqX7++nJycJElPnjxR27ZtNXToUF25ckXu7u4qX768rl27pqFDh6pDhw4xPhTFJTQ0VG3atNGsWbOUOXNmVa5cWaGhoVq5cqVatGgR44P0oUOH1LBhQy1evFh2dnaqWrWq8uTJo+3bt8vb21tLlixJVDufP39eTZs21ZIlS+Tg4KBq1arJYDCof//+mjNnTqznXLhwQY0aNdLs2bP17NkzVaxYUUWKFNHBgwfVsWNHjRs3LkbNLVq00KZNm5Q2bVpVr15d+fLl0969e/XVV19p9uzZiar5ZUyvX65cuSRJxYoVU/369fXBBx+81nWNRqO++OILXb9+XVWrVpW9vb3c3NwkSX/88Ye8vb21bt06ZcmSRVWrVlXJkiV169Yt/fHHH2rWrFm0+aIS2ya3b9+Wl5eXxo8fr7t378rDw0Pu7u46deqU+vTpoz59+ry18GfYsGHq1KmTDhw4oLx586patWoKCwvTnDlz1KRJE127di3a8UWKFJEkTZkyRRs3blR4eHiMazo4OGjMmDEaNGiQUqZMmeBaLl26JE9PT02dOlUPHz5UpUqVlDdvXu3bt0+ff/55tNA3qfz0008aOHCgzpw5o2LFiqlKlSoyGo1asmSJPD09deXKFUlRQc8nn3xiPq9+/fqqX7+++f9f9TU9fPiw+vbtKxcXF1WoUEFp06ZVxowZX1r38ePH1aBBA/3222+KjIzUhx9+qPLlyysyMlKbNm1Sq1atdPjwYfPxQUFBatasmX7//XeFhoaqYsWKcnd317lz5zR8+HB17dr1ldrFZMOGDfL09JSvr6/SpUunatWqKXPmzFq7dq08PT21Y8eOWJ9j+vTp6t69u8LDw/XBBx/IaDRq7dq1+vzzzzV9+nR9/fXXCgsLU8WKFRUaGqq1a9fK29tbz58/j3GtvXv36osvvlBgYKCqVKmi7Nmza/PmzWrevLm2bNkSb3s2a9bM/ByxXdvHx0cRERHy9PRM1sN8mePnJdq2baujR49q69atatKkidzd3ZU+fXodOXJEd+/eVb58+TR27FhLlwkAAPDO2bFjh2bNmqV06dJp5syZKlGihKSokKR79+7avn27xo0bJy8vL61fv16rVq1Sx44do11j06ZNevTokRo2bKjUqVMrNDRUU6dOlZ2dnXx8fFSgQAHzsWPHjtX06dM1depUzZo1S2XKlFGZMmW0c+dOhYWFqV+/fsqZM6f5+J9//ll+fn6qVKmSee4SSXr48KG6du2q/fv3a+zYsfH2SjEJDAyUnZ2dVq9erfz580uK+sDVvHlzXbt2TcuWLTM/28OHD9WtWzcFBwdrwIAB8vb2NveiOHTokDp16qTBgwerePHiCZrQ3Gg06vvvv9fdu3fVrl07fffdd7Kxifr978KFCzV48OAY54SHh6tr1666deuWvvzyS3Xr1k12dlEfHc6fP6/27dtr6tSpKlGihKpXry4p6gN/WFiYBg8erObNm5uvtWfPHn3xxReaPHmyPvvssySbi8v0+vXt21fXr19XgwYN1LZt29e+bmRkpCRp/fr1cnZ2VmRkpGxsbHTv3j2NGDFCdnZ2mjdvXrSeXbdv31aLFi3k7++v9evXm395nNg26d27ty5cuKDGjRtrwIAB5hAyMDBQHTp00OrVq1W8eHFzr6Y3ZfXq1Zo/f75y5sypqVOnqlChQpKi5sMaPXq05syZox49emj58uXm92abNm20Zs0a+fv7q3v37kqTJo3KlSun999/X2XKlFGxYsVe6YOx0WhU7969dfPmTTVt2lQDBw6Ug4ODpKjeMV988YV+/vln1ahRQ1mzZk2S5w8MDNSSJUuULl06rVmzRlmyZDE/f9++feXr66u5c+dq0KBBqlWrlsqXL68NGzZIUoy5lF71Nb1y5Yo6duyonj17Svrf+/JlBg0apJCQEPXs2TPa98tnz57p22+/1bZt2/T777+b379LlixRQECA6tevr19++cX8et68eVPNmjXTzp07dfz4cZUsWTJR7WJ6hj59+kiSJk2apJo1a5rr2bhxo3r27KmePXtqw4YNMV677du3a+TIkWrUqJG5vWrXrq0LFy5o7NixGjNmjOrVqycp6ntpgwYN5O/vr127dqlWrVrRrnXp0iU1adJEgwYNMn+tmb739e/fX2XLllW6dOlibc/8+fPr/fffl5+fn7Zu3aq6detG279ixQoZDIZkv6IbPX5ews7OTpMmTdLQoUPl5uamU6dOadeuXUqXLp26du2qFStWRFvmHQAAAAnz+++/S5K+/fZbc+gjRfUK+PHHH5UzZ049ePBA5cuXV+7cuXXp0iUdO3Ys2jVMQ5VMv5UNDg7WkydP5ODgYP5QYtKxY0f1799fbdq0eWltt2/flo+Pj1KlShUt9JGktGnTatSoUbK3t9eiRYsUEpKwCbq7detmDn0kKUOGDOYltM+fP2/evmzZMgUFBalevXpq1apVtKEzZcuWVadOnRQeHh5nT51/O3HihI4fP6733ntPvXr1Moc+UtSKZtWqVYtxzpYtW3Tp0iWVLl1a3377rTn0kaSCBQuaw66ZM2eat5uG4uXOnTvatSpVqqQhQ4Zo6NChyXooxIuaNm0qZ2dnSTK31507d1SzZk21bds2xnC+LFmyqEaNGpKihtmYJKZN/v77b+3fv185c+bU4MGDzQGBJLm4uJiHKc2aNSvRz+Pv7x/vUu7/Di9nzJghSRo8eLA59JGiVjX+7rvvVKhQIZ08eVL79+8378uQIYMWL16s2rVry2Aw6NGjR9q6datGjhypZs2aycPDQ71799alS5cSVfvx48d14sQJ5ciRQz/99JM59JEkDw8PNW/eXK6urjp37lyi2yUut2/fltFoVOrUqaMFAra2turRo4cGDBhg7mEYn9d9TV/8XvXi121cnj59qsKFC+ujjz5Su3btou1LmTKlPD09JcX+Hs2ZM2e07zXZs2fXsGHDNHLkSLm4uEhKfLvMnz9fz58/V/v27aOFPpJUu3ZtNWvWTI8fP9Yff/wR41nKlStnDn2kqPYyDamrVKmSOfSRot57pp5+/+5xJEmZM2fWjz/+GC10btWqlapUqaJHjx7J19c3xjkv8vLykhQ1vPRFhw8f1pUrV1SuXLkYX+PJDT1+EsBgMKhZs2bmHygAAADweoxGow4ePChJMT4QSFEfOl6cY7FZs2YaM2aMVq5cqVKlSkmSrl+/rgMHDihPnjzmDwQZM2ZUwYIFdf78eTVu3FgNGjRQ5cqVVaJECTk7Oyco9JGietaEh4ebe3v/m4uLiwoXLqwTJ07o2LFjqlix4kuvWbp06RjbTL/lfnGFWNOH6biGLFWrVk2jR4/WX3/9laBnMV2vUqVKsfa4+Pjjj2MMtzCdE9d0BlWqVJGNjY2OHz+up0+fytHRUR4eHrp48aK+/vprNWzYUJUrV1a5cuXk5ORk/uD0roitJ1XhwoU1ZsyYaNuMRqMCAwN1+vRp87QQL879lJg2Mb2eZcqUiRZumJQoUUIZMmRQYGCgLl++rLx58yb4eV62nLu7u7v573fu3NGFCxdkZ2cXbe4aExsbG1WqVEnnzp3TX3/9Fe19miVLFo0fP14BAQHasWOHDhw4ID8/P925c0fBwcFavXq11q9fr6FDh0b7UB+fAwcOSIp6z8XWW+yHH35I0HUSo1ChQkqfPr2uX7+uJk2aqH79+uahjtmzZ1erVq0SdJ3XeU2zZMmiTJkyJapuR0dHDRs2LMb2oKAgnT9/Xnv27JEU8z26aNEiTZ8+XZcvX1a1atX04YcfKnPmzKpSpUq06yS2XV72faRatWpatGiR+TV+ken7/IsyZMggKWpY57+lSZNGkmIdjvXxxx/L0dExxvYaNWpo165dOnjwoD777LNYa5SiQqphw4Zp3759unXrlvn79vLlyyXpncgJCH4AAADw1j148EChoaFKkSKF+Yf5+Hh6emrChAlav369vv/+e6VIkUIrVqyQ0WiM0cV+3Lhx6tq1qy5duqQpU6ZoypQpSp06tSpVqqSGDRuqatWqL73fzZs3JUUFQP+eqPXfTKu8vozpg8mLTEHMi8M4TNfr37+/+vfvH+f17ty5o7CwMF27dk1Tp06NsT9Dhgzq37+/+Tf6pt/a/5tpjpwXmWqYPHmyJk+eHGcNUlQvgPfee089e/bUzZs3tXPnTi1cuFALFy6Uvb29ypQpo08++USNGzeO9cNvchTXsI/IyEht375dvr6+On/+vG7cuGGe58nUW+LF+VoS0yam95yPj498fHzirS8gIEB58+ZVr169Yt3fv3//aF9XiVnO3fTah4eHq3jx4vEea6r537JlyyZvb2/zkLcrV65o165d+u2333Tjxg31799fJUqUUL58+XT48GEtXrw4xjXy58+vzp07myfzfZurtqVMmVKTJk3St99+q3PnzmnMmDEaM2aMMmbMqCpVqqhJkyYxen3F5lVeU5PY3oMXL16M92vd5MSJE1q6dKlOnjypq1ev6vHjx5Jif49+8sknOnPmjGbOnKmNGzdq48aNkqLmbKpRo4ZatGhhDqAS2y6m99LLAvfY3kdp06aNsc1Uf2xhfHyTisf2PU7633sqroUDTExzyC1YsEA+Pj768ssvFRISoo0bNypt2rQxhpYlRwQ/AAAAeOtME7/G98P6izJlyqRq1app8+bN2rp1q+rUqSMfHx/Z2dmpcePG0Y4tUKCA1q1bpwMHDmjHjh3666+/dO7cOa1fv17r169X/fr1X/oh2PTBKG/evOaJfeMSV6Dybwl9VlMIVLly5Vg//LwoPDxcd+/e1Zo1a2Lsy5EjR7QPg3FNChxbLyBTDWXLln3p85l6YTg7O2v69Ok6c+aMtm3bpv379+v48ePav3+/9u/fr99//10LFy6MNQCL6/5vysuGnMU2rObZs2dq166d/Pz8ZGdnp6JFi6p+/frKnz+/SpQoob1792ratGnRzklMm5ieuVixYsqXL1+89ZnaMLbXXZK++eabBAWqsTHVkSZNmhg9Pv7N9LUREhKiS5cuycbGJtavlzx58ihPnjxq0qSJWrRoofPnz2vt2rXq1q2brl27FutzlCtXTp07dzb3Tkno18+riO39UKZMGW3dulV79uzRrl27dODAAV25ckUrV67UypUr1alTJ/Xo0SPe677Ka2oS23swIV/rI0eONA8DzZcvn6pWrap8+fKpaNGiioyM1FdffRXj/B49esjb21tbt27V3r175efnp9OnT+v06dOaN2+e5s2bZ35dE9MupuevXbt2vHN7vTgEzuTF4aWvK67A2fQ9MSH3atasmRYsWKBVq1bpyy+/1IYNG/T06VM1bdpUKVKkSLJa3xSCHwAAALx16dKlk729vZ49e6b79+/H+htcHx8fOTk5qWLFinJyclKzZs20efNmbdiwQdmyZVNAQIBq1KgR63AIGxsbVahQwTzEICgoSL6+vho9erTWrFmj1q1bq2TJknHWZ5rDsVixYgnuKZFUMmfOrMuXL6tt27b68MMPX3q8h4eHzp49G+d+U3Dz4rweL4rtt92m+ZEaNGiQ6GFahQsXVuHChfXVV1/p2bNn2rNnjwYPHqxz585p8eLF5glnDQaDjEZjrKs/PXz4MFH3jI0pKIjtQ31sS8i/zJw5c+Tn56fChQt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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
+    "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
+    "ax.set_title(\"Non-zero Fluxes\")\n",
+    "ax = sns.barplot(data=results_df, x=\"Environment\", y=\"log(Flux)\", ax=ax, hue=\"Reaction\")\n",
+    "ax.legend(bbox_to_anchor=(1, 1), title='Reactions', loc='upper left', ncol = 1)\n",
+    "wrap_x_labels(ax, 10)\n",
+    "fig = ax.get_figure()\n",
+    "plt.show(fig)\n",
+    "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.935925Z",
+     "start_time": "2023-07-12T17:11:44.288413Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 369,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-12T17:11:44.936216Z",
+     "start_time": "2023-07-12T17:11:44.787107Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/new_environments/test_environments_new.ipynb b/notebooks/new_environments/test_environments_new.ipynb
index 964f98e25..792a4e74a 100644
--- a/notebooks/new_environments/test_environments_new.ipynb
+++ b/notebooks/new_environments/test_environments_new.ipynb
@@ -688,7 +688,7 @@
     "\n",
     "        # now adds an entry for every reaction, list can be empty\n",
     "        reaction_catalysts[\"putative-L-selenocysteine-synthesis\"] = ['CPLX0-1141[c]']\n",
-    "        # 'EG10941-MONOMER[i]' should be the reaction catalyst?\n",
+    "        # Taken from reconstruction/ecoli.../complexation reactions to find the complex that the gene forms\n",
     "        enzyme_idx = [catalyst_idx[catalyst] for catalyst in reaction_catalysts.get(reaction, [])]\n",
     "        metabolism.catalyzed_rxn_enzymes_idx.append(enzyme_idx)\n",
     "\n",
@@ -785,21 +785,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 26,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-10T22:29:22.160768Z",
-     "start_time": "2023-07-10T22:29:21.864923Z"
+     "end_time": "2023-07-11T22:13:00.470763Z",
+     "start_time": "2023-07-11T22:13:00.445723Z"
     }
    },
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.series.Series'>\n"
+     ]
+    },
     {
      "data": {
       "text/plain": "                Environment                             Reaction   Flux  \\\n0  Testing L-Selenocysteine  putative-L-selenocysteine-synthesis  100.0   \n\n   log(Flux)  \n0        2.0  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 22,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }

From 9e1035dd75081e738abcdabce0e397e50fc9dfab Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 12 Jul 2023 15:23:40 -0700
Subject: [PATCH 38/58] Test adding a putative Fe-S cluster synthesis pathway
 in a separate notebook

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 157 ++++++++++--------
 1 file changed, 84 insertions(+), 73 deletions(-)

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index 31aa9fa2d..0a3149879 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 355,
+   "execution_count": 375,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:19.249069Z",
-     "start_time": "2023-07-12T17:11:19.061463Z"
+     "end_time": "2023-07-12T22:22:10.028977Z",
+     "start_time": "2023-07-12T22:22:09.878464Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 356,
+   "execution_count": 376,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:19.311558Z",
-     "start_time": "2023-07-12T17:11:19.088484Z"
+     "end_time": "2023-07-12T22:22:10.029278Z",
+     "start_time": "2023-07-12T22:22:09.884783Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 357,
+   "execution_count": 377,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:21.544481Z",
-     "start_time": "2023-07-12T17:11:19.104231Z"
+     "end_time": "2023-07-12T22:22:14.434500Z",
+     "start_time": "2023-07-12T22:22:09.891419Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 358,
+   "execution_count": 378,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +101,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:25.269951Z",
-     "start_time": "2023-07-12T17:11:21.551914Z"
+     "end_time": "2023-07-12T22:22:17.265062Z",
+     "start_time": "2023-07-12T22:22:14.439240Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 359,
+   "execution_count": 379,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +118,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:25.365464Z",
-     "start_time": "2023-07-12T17:11:25.283457Z"
+     "end_time": "2023-07-12T22:22:17.312932Z",
+     "start_time": "2023-07-12T22:22:17.277982Z"
     }
    }
   },
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 360,
+   "execution_count": 380,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.042970Z",
-     "start_time": "2023-07-12T17:11:25.367327Z"
+     "end_time": "2023-07-12T22:22:17.716286Z",
+     "start_time": "2023-07-12T22:22:17.306570Z"
     }
    },
    "outputs": [
@@ -148,7 +148,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 360,
+     "execution_count": 380,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 361,
+   "execution_count": 381,
    "outputs": [],
    "source": [
     "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
@@ -175,28 +175,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.055204Z",
-     "start_time": "2023-07-12T17:11:26.046570Z"
+     "end_time": "2023-07-12T22:22:17.724732Z",
+     "start_time": "2023-07-12T22:22:17.716689Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 362,
+   "execution_count": 382,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.145449Z",
-     "start_time": "2023-07-12T17:11:26.065020Z"
+     "end_time": "2023-07-12T22:22:17.776288Z",
+     "start_time": "2023-07-12T22:22:17.729792Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                 Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 362,
+     "execution_count": 382,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 363,
+   "execution_count": 383,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -275,28 +275,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.555373Z",
-     "start_time": "2023-07-12T17:11:26.161786Z"
+     "end_time": "2023-07-12T22:22:18.292268Z",
+     "start_time": "2023-07-12T22:22:17.790646Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 364,
+   "execution_count": 384,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:26.614637Z",
-     "start_time": "2023-07-12T17:11:26.584825Z"
+     "end_time": "2023-07-12T22:22:18.339861Z",
+     "start_time": "2023-07-12T22:22:18.325368Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                 Demand  \\\n0  {SER[c], SEPO3[c]}     {}  {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}             {CPD-6[c]}   \n2                  {}     {}                     {}   \n3                  {}     {}                     {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{CPD-6[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2                  {}     {}                        {}   \n3                  {}     {}                        {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 364,
+     "execution_count": 384,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 365,
+   "execution_count": 385,
    "outputs": [
     {
      "name": "stdout",
@@ -349,7 +349,7 @@
     "                \"complex-formation-FeS-cluster-assembly\": 'G7324-MONOMER[c]',\n",
     "                \"cluster-transport-FeS-cluster-assembly\": 'HSC-Complex[c]'}\n",
     "\n",
-    "for i in range(len(condition_df)):\n",
+    "for j in range(len(condition_df)):\n",
     "    metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
     "    reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
     "    metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
@@ -359,7 +359,7 @@
     "    new_metabolites = metabolism.metabolite_names.copy()\n",
     "    new_reaction_names = metabolism.reaction_names.copy()\n",
     "\n",
-    "    condition_idx = i\n",
+    "    condition_idx = j\n",
     "\n",
     "    uptake = metabolism.allowed_exchange_uptake\n",
     "\n",
@@ -367,7 +367,33 @@
     "    new_demand = condition_df.at[condition_idx, \"Demand\"]\n",
     "    if new_demand != set():\n",
     "        for met in new_demand:\n",
-    "            homeostatic[met] = 100\n",
+    "            homeostatic[met] = 0\n",
+    "            flat_demand_add = 100\n",
+    "\n",
+    "            # reactions_with_met = []\n",
+    "            # function = \"reactions-of-compound\"\n",
+    "            # name = met[:-3]\n",
+    "            # req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "            #\n",
+    "            # r = s.get(req_str)\n",
+    "            # o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "            # if type(o) is dict:\n",
+    "            #     o = [o]\n",
+    "            # for rxn in o:\n",
+    "            #     if type(rxn) is not str: # no rxns\n",
+    "            #             reactions_with_met.append(rxn['@frameid'])\n",
+    "            #     else:\n",
+    "            #         function = \"substrates-of-reaction\"\n",
+    "            #         req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn}&detail=low\"\n",
+    "            #         r = s.get(req_str)\n",
+    "            #         o = xmltodict.parse(r.content)['ptools-xml']['right']\n",
+    "            #         if type(o) is dict:\n",
+    "            #             o = [o]\n",
+    "            #         for rxn in o:\n",
+    "            #             print(rxn)\n",
+    "\n",
+    "            homeostatic[met] += flat_demand_add\n",
+    "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
     "\n",
@@ -390,7 +416,7 @@
     "                    metabolites_idx[metabolite] = len(metabolites_idx)\n",
     "\n",
     "            new_reaction_names.append(reaction)\n",
-    "            new_col = np.zeros([len(new_stoich),1])\n",
+    "            new_col = np.zeros([len(new_stoich), 1])\n",
     "            new_stoich = np.append(new_stoich, new_col, axis=1)\n",
     "\n",
     "            for species, coefficient in reactions_add[reaction].items():\n",
@@ -431,14 +457,12 @@
     "        control_df = pd.DataFrame()\n",
     "        flux_threshold = 100\n",
     "        for j, k in enumerate(fluxes.index):\n",
-    "            mask = abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold\n",
-    "            if mask.any():\n",
+    "            if abs(all_flux[condition_idx - length][k] - fluxes[k]) / abs(fluxes[k] + 0.01) >= flux_threshold:\n",
     "                control_df = control_df.append(pd.DataFrame([[condition_df.at[condition_idx, \"Environment\"],\n",
     "                          fluxes.index[j],\n",
     "                         (all_flux[condition_idx - length][k] - fluxes[k]) / (fluxes[k] + 0.01) ]], columns=[\"Environment\", \"Reaction\", \"(Experiment - Control)/(Control + 0.01) Flux\"]))\n",
     "        if len(control_df) > 0:\n",
     "            control_df = control_df.sort_values(by=[\"(Experiment - Control)/(Control + 0.01) Flux\"], ascending=False)\n",
-    "        # Getting some weird issues with logic on series\n",
     "        control_df.to_csv(rf'notebooks/new_environments/figures/control_differences/{condition_df.at[condition_idx, \"Environment\"]}.csv')\n",
     "    else:\n",
     "        relevant_rxns = condition_df.at[condition_idx, \"Reactions\"]\n",
@@ -468,19 +492,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.162735Z",
-     "start_time": "2023-07-12T17:11:26.626584Z"
+     "end_time": "2023-07-12T22:22:34.245065Z",
+     "start_time": "2023-07-12T22:22:18.391087Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 366,
+   "execution_count": 386,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.196351Z",
-     "start_time": "2023-07-12T17:11:44.171871Z"
+     "end_time": "2023-07-12T22:22:34.265812Z",
+     "start_time": "2023-07-12T22:22:34.256581Z"
     }
    },
    "outputs": [
@@ -489,7 +513,7 @@
       "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 366,
+     "execution_count": 386,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -502,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 367,
+   "execution_count": 387,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -512,14 +536,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.196625Z",
-     "start_time": "2023-07-12T17:11:44.179350Z"
+     "end_time": "2023-07-12T22:22:34.279574Z",
+     "start_time": "2023-07-12T22:22:34.264640Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 368,
+   "execution_count": 388,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -535,14 +559,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.197304Z",
-     "start_time": "2023-07-12T17:11:44.190801Z"
+     "end_time": "2023-07-12T22:22:34.301881Z",
+     "start_time": "2023-07-12T22:22:34.274962Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 369,
+   "execution_count": 389,
    "outputs": [
     {
      "data": {
@@ -567,21 +591,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.935925Z",
-     "start_time": "2023-07-12T17:11:44.288413Z"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 369,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T17:11:44.936216Z",
-     "start_time": "2023-07-12T17:11:44.787107Z"
+     "end_time": "2023-07-12T22:22:34.863195Z",
+     "start_time": "2023-07-12T22:22:34.325597Z"
     }
    }
   }

From bb35017e0c5997002bd931b1cf2769e2a26d3fbf Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 12 Jul 2023 16:45:45 -0700
Subject: [PATCH 39/58] Commit for bug-finding on Fd-S pathway

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 196 ++++++++----------
 1 file changed, 91 insertions(+), 105 deletions(-)

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index 0a3149879..0791a28fb 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 375,
+   "execution_count": 445,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:10.028977Z",
-     "start_time": "2023-07-12T22:22:09.878464Z"
+     "end_time": "2023-07-12T23:14:58.222988Z",
+     "start_time": "2023-07-12T23:14:58.164248Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 376,
+   "execution_count": 446,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:10.029278Z",
-     "start_time": "2023-07-12T22:22:09.884783Z"
+     "end_time": "2023-07-12T23:14:58.304081Z",
+     "start_time": "2023-07-12T23:14:58.174130Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 377,
+   "execution_count": 447,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:14.434500Z",
-     "start_time": "2023-07-12T22:22:09.891419Z"
+     "end_time": "2023-07-12T23:15:00.657380Z",
+     "start_time": "2023-07-12T23:14:58.187192Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 378,
+   "execution_count": 448,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +101,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.265062Z",
-     "start_time": "2023-07-12T22:22:14.439240Z"
+     "end_time": "2023-07-12T23:15:02.229964Z",
+     "start_time": "2023-07-12T23:15:00.662454Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 379,
+   "execution_count": 449,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +118,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.312932Z",
-     "start_time": "2023-07-12T22:22:17.277982Z"
+     "end_time": "2023-07-12T23:15:02.278892Z",
+     "start_time": "2023-07-12T23:15:02.243501Z"
     }
    }
   },
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 380,
+   "execution_count": 450,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.716286Z",
-     "start_time": "2023-07-12T22:22:17.306570Z"
+     "end_time": "2023-07-12T23:15:02.769478Z",
+     "start_time": "2023-07-12T23:15:02.270539Z"
     }
    },
    "outputs": [
@@ -148,7 +148,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 380,
+     "execution_count": 450,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 381,
+   "execution_count": 451,
    "outputs": [],
    "source": [
     "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
@@ -175,28 +175,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.724732Z",
-     "start_time": "2023-07-12T22:22:17.716689Z"
+     "end_time": "2023-07-12T23:15:02.777873Z",
+     "start_time": "2023-07-12T23:15:02.774375Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 382,
+   "execution_count": 452,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:17.776288Z",
-     "start_time": "2023-07-12T22:22:17.729792Z"
+     "end_time": "2023-07-12T23:15:02.824055Z",
+     "start_time": "2023-07-12T23:15:02.776819Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                Environment                             Genes  \\\n0  Testing L-Selenocysteine                         {EG10941}   \n1     Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                Environment                                 Genes  \\\n0  Testing L-Selenocysteine                             {EG10941}   \n1     Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2          Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 382,
+     "execution_count": 452,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 383,
+   "execution_count": 453,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -275,28 +275,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:18.292268Z",
-     "start_time": "2023-07-12T22:22:17.790646Z"
+     "end_time": "2023-07-12T23:15:06.376638Z",
+     "start_time": "2023-07-12T23:15:02.837581Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 384,
+   "execution_count": 454,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:18.339861Z",
-     "start_time": "2023-07-12T22:22:18.325368Z"
+     "end_time": "2023-07-12T23:15:06.409258Z",
+     "start_time": "2023-07-12T23:15:06.400414Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                        Environment                             Genes  \\\n0          Testing L-Selenocysteine                         {EG10941}   \n1             Testing Fe-S Clusters  {EG12132, EG12130, G7325, G7324}   \n2  Testing L-Selenocysteine CONTROL                                {}   \n3     Testing Fe-S Clusters CONTROL                                {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2                  {}     {}                        {}   \n3                  {}     {}                        {}   \n\n                                           Reactions Substrates  \n0              {putative-L-selenocysteine-synthesis}         []  \n1  {iron-transport-FeS-cluster-assembly, complex-...         []  \n2              {putative-L-selenocysteine-synthesis}         []  \n3  {iron-transport-FeS-cluster-assembly, complex-...         []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                        Environment                                 Genes  \\\n0          Testing L-Selenocysteine                             {EG10941}   \n1             Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2                  Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n3  Testing L-Selenocysteine CONTROL                                    {}   \n4     Testing Fe-S Clusters CONTROL                                    {}   \n5          Vitamin B Uptake CONTROL                                    {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}   \n3                  {}     {}                        {}   \n4                  {}     {}                        {}   \n5                  {}     {}                        {}   \n\n                                           Reactions  \\\n0              {putative-L-selenocysteine-synthesis}   \n1  {iron-transport-FeS-cluster-assembly, complex-...   \n2  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n3              {putative-L-selenocysteine-synthesis}   \n4  {iron-transport-FeS-cluster-assembly, complex-...   \n5  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n\n                                          Substrates  \n0                                                 []  \n1                                                 []  \n2  [{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...  \n3                                                 []  \n4                                                 []  \n5                                                 []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Vitamin B Uptake CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 384,
+     "execution_count": 454,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,16 +315,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 385,
+   "execution_count": 458,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "100\n",
       "Finished Testing L-Selenocysteine\n",
+      "100\n",
       "Finished Testing Fe-S Clusters\n",
+      "100\n",
+      "Finished Vitamin B Uptake\n",
       "Finished Testing L-Selenocysteine CONTROL\n",
-      "Finished Testing Fe-S Clusters CONTROL\n"
+      "Finished Testing Fe-S Clusters CONTROL\n",
+      "Finished Vitamin B Uptake CONTROL\n"
      ]
     }
    ],
@@ -369,30 +374,43 @@
     "        for met in new_demand:\n",
     "            homeostatic[met] = 0\n",
     "            flat_demand_add = 100\n",
-    "\n",
-    "            # reactions_with_met = []\n",
-    "            # function = \"reactions-of-compound\"\n",
-    "            # name = met[:-3]\n",
-    "            # req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
-    "            #\n",
-    "            # r = s.get(req_str)\n",
-    "            # o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
-    "            # if type(o) is dict:\n",
-    "            #     o = [o]\n",
-    "            # for rxn in o:\n",
-    "            #     if type(rxn) is not str: # no rxns\n",
-    "            #             reactions_with_met.append(rxn['@frameid'])\n",
-    "            #     else:\n",
-    "            #         function = \"substrates-of-reaction\"\n",
-    "            #         req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn}&detail=low\"\n",
-    "            #         r = s.get(req_str)\n",
-    "            #         o = xmltodict.parse(r.content)['ptools-xml']['right']\n",
-    "            #         if type(o) is dict:\n",
-    "            #             o = [o]\n",
-    "            #         for rxn in o:\n",
-    "            #             print(rxn)\n",
+    "            if met not in metabolites_add:\n",
+    "                function = \"reactions-of-compound\"\n",
+    "                name = met[:-3]\n",
+    "                req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "                r = s.get(req_str)\n",
+    "                o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "                if type(o) is dict:\n",
+    "                    o = [o]\n",
+    "                for rxn in o:\n",
+    "                    if type(rxn) is not str: # no rxns\n",
+    "                        function = \"substrates-of-reaction\"\n",
+    "                        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn['@frameid']}&detail=low\"\n",
+    "                        r = s.get(req_str)\n",
+    "                        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']['left']\n",
+    "                        right = xmltodict.parse(r.content)['ptools-xml']['Reaction']['right']\n",
+    "                        if type(o) is dict:\n",
+    "                            o = [o]\n",
+    "                        if type(right) is dict:\n",
+    "                            right = [right]\n",
+    "                        for compound in o:\n",
+    "                            if type(compound) is not str:\n",
+    "                                try:\n",
+    "                                    if compound['Compound']['@frameid'] == met:\n",
+    "                                        for demand_compound in right:\n",
+    "                                            if type(demand_compound) is not str:\n",
+    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
+    "                                except:\n",
+    "                                    if compound['Protein']['@frameid'] == met:\n",
+    "                                        for demand_compound in right:\n",
+    "                                            if type(demand_compound) is not str:\n",
+    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
+    "                                finally:\n",
+    "                                    pass\n",
     "\n",
     "            homeostatic[met] += flat_demand_add\n",
+    "            print(homeostatic[met])\n",
     "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
@@ -492,32 +510,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.245065Z",
-     "start_time": "2023-07-12T22:22:18.391087Z"
+     "end_time": "2023-07-12T23:43:40.896996Z",
+     "start_time": "2023-07-12T23:43:07.660721Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 386,
+   "execution_count": null,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.265812Z",
-     "start_time": "2023-07-12T22:22:34.256581Z"
+     "start_time": "2023-07-12T23:15:14.873132Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "execution_count": 386,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
@@ -526,7 +533,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 387,
+   "execution_count": null,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -534,16 +541,12 @@
     "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
    ],
    "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.279574Z",
-     "start_time": "2023-07-12T22:22:34.264640Z"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 388,
+   "execution_count": null,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -557,26 +560,13 @@
     "    ax.set_xticklabels(labels, rotation=0)"
    ],
    "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.301881Z",
-     "start_time": "2023-07-12T22:22:34.274962Z"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 389,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<Figure size 600x600 with 1 Axes>",
-      "image/png": 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\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "outputs": [],
    "source": [
     "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
     "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
@@ -589,11 +579,7 @@
     "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
    ],
    "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2023-07-12T22:22:34.863195Z",
-     "start_time": "2023-07-12T22:22:34.325597Z"
-    }
+    "collapsed": false
    }
   }
  ],

From 6730f462efd4a55177de109bb32c83dc1a4a7230 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 13 Jul 2023 10:56:17 -0700
Subject: [PATCH 40/58] Fixed homeostatic value estimate based on reactions
 where the demand compound is the reactant

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 151 +++++++++++-------
 notebooks/new_environments/new_genes.xlsx     | Bin 18841 -> 18833 bytes
 2 files changed, 93 insertions(+), 58 deletions(-)

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index 0791a28fb..f2d250146 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 445,
+   "execution_count": 490,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:14:58.222988Z",
-     "start_time": "2023-07-12T23:14:58.164248Z"
+     "end_time": "2023-07-13T17:50:55.215269Z",
+     "start_time": "2023-07-13T17:50:55.142117Z"
     }
    },
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 446,
+   "execution_count": 491,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +60,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:14:58.304081Z",
-     "start_time": "2023-07-12T23:14:58.174130Z"
+     "end_time": "2023-07-13T17:50:55.307568Z",
+     "start_time": "2023-07-13T17:50:55.154005Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 447,
+   "execution_count": 492,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +80,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:00.657380Z",
-     "start_time": "2023-07-12T23:14:58.187192Z"
+     "end_time": "2023-07-13T17:50:58.068705Z",
+     "start_time": "2023-07-13T17:50:55.164229Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 448,
+   "execution_count": 493,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +101,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.229964Z",
-     "start_time": "2023-07-12T23:15:00.662454Z"
+     "end_time": "2023-07-13T17:51:00.116268Z",
+     "start_time": "2023-07-13T17:50:58.066174Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 449,
+   "execution_count": 494,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +118,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.278892Z",
-     "start_time": "2023-07-12T23:15:02.243501Z"
+     "end_time": "2023-07-13T17:51:00.148660Z",
+     "start_time": "2023-07-13T17:51:00.126408Z"
     }
    }
   },
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 450,
+   "execution_count": 495,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.769478Z",
-     "start_time": "2023-07-12T23:15:02.270539Z"
+     "end_time": "2023-07-13T17:51:00.679684Z",
+     "start_time": "2023-07-13T17:51:00.150194Z"
     }
    },
    "outputs": [
@@ -148,7 +148,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 450,
+     "execution_count": 495,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 451,
+   "execution_count": 496,
    "outputs": [],
    "source": [
     "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
@@ -175,19 +175,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.777873Z",
-     "start_time": "2023-07-12T23:15:02.774375Z"
+     "end_time": "2023-07-13T17:51:00.679933Z",
+     "start_time": "2023-07-13T17:51:00.675598Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 452,
+   "execution_count": 497,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:02.824055Z",
-     "start_time": "2023-07-12T23:15:02.776819Z"
+     "end_time": "2023-07-13T17:51:00.752470Z",
+     "start_time": "2023-07-13T17:51:00.682647Z"
     }
    },
    "outputs": [
@@ -196,7 +196,7 @@
       "text/plain": "                Environment                                 Genes  \\\n0  Testing L-Selenocysteine                             {EG10941}   \n1     Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2          Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}     [nan]      [nan]  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 452,
+     "execution_count": 497,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 453,
+   "execution_count": 498,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -275,19 +275,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:06.376638Z",
-     "start_time": "2023-07-12T23:15:02.837581Z"
+     "end_time": "2023-07-13T17:51:02.744734Z",
+     "start_time": "2023-07-13T17:51:00.733161Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 454,
+   "execution_count": 499,
    "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:15:06.409258Z",
-     "start_time": "2023-07-12T23:15:06.400414Z"
+     "end_time": "2023-07-13T17:51:02.928048Z",
+     "start_time": "2023-07-13T17:51:02.772295Z"
     }
    },
    "outputs": [
@@ -296,7 +296,7 @@
       "text/plain": "                        Environment                                 Genes  \\\n0          Testing L-Selenocysteine                             {EG10941}   \n1             Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2                  Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n3  Testing L-Selenocysteine CONTROL                                    {}   \n4     Testing Fe-S Clusters CONTROL                                    {}   \n5          Vitamin B Uptake CONTROL                                    {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}   \n3                  {}     {}                        {}   \n4                  {}     {}                        {}   \n5                  {}     {}                        {}   \n\n                                           Reactions  \\\n0              {putative-L-selenocysteine-synthesis}   \n1  {iron-transport-FeS-cluster-assembly, complex-...   \n2  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n3              {putative-L-selenocysteine-synthesis}   \n4  {iron-transport-FeS-cluster-assembly, complex-...   \n5  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n\n                                          Substrates  \n0                                                 []  \n1                                                 []  \n2  [{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...  \n3                                                 []  \n4                                                 []  \n5                                                 []  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Vitamin B Uptake CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 454,
+     "execution_count": 499,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 458,
+   "execution_count": 500,
    "outputs": [
     {
      "name": "stdout",
@@ -388,29 +388,32 @@
     "                        function = \"substrates-of-reaction\"\n",
     "                        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{rxn['@frameid']}&detail=low\"\n",
     "                        r = s.get(req_str)\n",
-    "                        o = xmltodict.parse(r.content)['ptools-xml']['Reaction']['left']\n",
+    "                        left = xmltodict.parse(r.content)['ptools-xml']['Reaction']['left']\n",
     "                        right = xmltodict.parse(r.content)['ptools-xml']['Reaction']['right']\n",
-    "                        if type(o) is dict:\n",
-    "                            o = [o]\n",
+    "                        if type(left) is dict:\n",
+    "                            left = [left]\n",
     "                        if type(right) is dict:\n",
     "                            right = [right]\n",
-    "                        for compound in o:\n",
+    "                        for compound in left:\n",
     "                            if type(compound) is not str:\n",
     "                                try:\n",
-    "                                    if compound['Compound']['@frameid'] == met:\n",
+    "                                    if compound['Compound']['@frameid'] == name:\n",
     "                                        for demand_compound in right:\n",
-    "                                            if type(demand_compound) is not str:\n",
-    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
-    "                                except:\n",
-    "                                    if compound['Protein']['@frameid'] == met:\n",
+    "                                            try:\n",
+    "                                                if type(demand_compound) is not str and demand_compound['Compound']['@frameid'] in homeostatic:\n",
+    "                                                    homeostatic[met] += homeostatic[demand_compound['Compound']['@frameid']]\n",
+    "                                            except KeyError:\n",
+    "                                                if type(demand_compound) is not str and demand_compound['Protein']['@frameid'] in homeostatic:\n",
+    "                                                    homeostatic[met] += homeostatic[demand_compound['Protein']['@frameid']]\n",
+    "                                except KeyError:\n",
+    "                                    if compound['Protein']['@frameid'] == name:\n",
     "                                        for demand_compound in right:\n",
-    "                                            if type(demand_compound) is not str:\n",
-    "                                                homeostatic[met] += homeostatic[demand_compound]\n",
+    "                                            if type(demand_compound) is not str and demand_compound['Compound']['@frameid'] in homeostatic:\n",
+    "                                                homeostatic[met] += homeostatic[demand_compound['Compound']['@frameid']]\n",
     "                                finally:\n",
     "                                    pass\n",
     "\n",
     "            homeostatic[met] += flat_demand_add\n",
-    "            print(homeostatic[met])\n",
     "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
@@ -510,21 +513,32 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-12T23:43:40.896996Z",
-     "start_time": "2023-07-12T23:43:07.660721Z"
+     "end_time": "2023-07-13T17:51:22.981362Z",
+     "start_time": "2023-07-13T17:51:02.923739Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 501,
    "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
    "metadata": {
     "ExecuteTime": {
-     "start_time": "2023-07-12T23:15:14.873132Z"
+     "end_time": "2023-07-13T17:51:23.002251Z",
+     "start_time": "2023-07-13T17:51:22.994149Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n0          Vitamin B Uptake                                  ABC-5-RXN   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  \n0     100.0   2.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Vitamin B Uptake</td>\n      <td>ABC-5-RXN</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 501,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
@@ -533,7 +547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 502,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -541,12 +555,16 @@
     "# g.savefig(\"notebooks/new_environments/figures/rxns_light_up.pdf\")"
    ],
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-13T17:51:23.016640Z",
+     "start_time": "2023-07-13T17:51:23.002536Z"
+    }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 503,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -560,13 +578,26 @@
     "    ax.set_xticklabels(labels, rotation=0)"
    ],
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-13T17:51:23.038316Z",
+     "start_time": "2023-07-13T17:51:23.012934Z"
+    }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+   "execution_count": 504,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 900x600 with 1 Axes>",
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "sns.set_theme(style=\"whitegrid\", rc={'figure.dpi': 300}, font_scale=0.5)\n",
     "fig, ax = plt.subplots(figsize=(len(results_df[\"Environment\"].unique()), 2))\n",
@@ -579,7 +610,11 @@
     "fig.savefig(\"notebooks/new_environments/figures/vert_bar_rxns.png\")"
    ],
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-13T17:51:23.821339Z",
+     "start_time": "2023-07-13T17:51:23.051544Z"
+    }
    }
   }
  ],
diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
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From ec4c84013dca19cd1ac2b00781f1766dfeca679b Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Tue, 18 Jul 2023 11:20:40 -0700
Subject: [PATCH 41/58] Add 4Fe-4S Pathway

---
 notebooks/new_environments/Fe_S_pathway.ipynb | 226 +++++++++---------
 notebooks/new_environments/new_genes.xlsx     | Bin 18833 -> 19175 bytes
 .../new_environments/testing_pathways.ipynb   | 115 +++++++++
 3 files changed, 229 insertions(+), 112 deletions(-)
 create mode 100644 notebooks/new_environments/testing_pathways.ipynb

diff --git a/notebooks/new_environments/Fe_S_pathway.ipynb b/notebooks/new_environments/Fe_S_pathway.ipynb
index f2d250146..33efaf528 100644
--- a/notebooks/new_environments/Fe_S_pathway.ipynb
+++ b/notebooks/new_environments/Fe_S_pathway.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 490,
+   "execution_count": 251,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:50:55.215269Z",
-     "start_time": "2023-07-13T17:50:55.142117Z"
+     "end_time": "2023-07-18T18:19:45.597821Z",
+     "start_time": "2023-07-18T18:19:45.527026Z"
     }
    },
    "outputs": [],
@@ -24,6 +24,7 @@
     "import dill\n",
     "import requests\n",
     "import xmltodict\n",
+    "import cvxpy as cp\n",
     "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
     "\n",
     "\n",
@@ -48,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 491,
+   "execution_count": 252,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -60,14 +61,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:50:55.307568Z",
-     "start_time": "2023-07-13T17:50:55.154005Z"
+     "end_time": "2023-07-18T18:19:45.688383Z",
+     "start_time": "2023-07-18T18:19:45.533623Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 492,
+   "execution_count": 253,
    "outputs": [],
    "source": [
     "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
@@ -80,14 +81,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:50:58.068705Z",
-     "start_time": "2023-07-13T17:50:55.164229Z"
+     "end_time": "2023-07-18T18:19:47.449179Z",
+     "start_time": "2023-07-18T18:19:45.541372Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 493,
+   "execution_count": 254,
    "outputs": [],
    "source": [
     "# this is the model itself - we'll pull e.g. stoichiometry from here.\n",
@@ -101,14 +102,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:00.116268Z",
-     "start_time": "2023-07-13T17:50:58.066174Z"
+     "end_time": "2023-07-18T18:19:51.465654Z",
+     "start_time": "2023-07-18T18:19:47.464138Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 494,
+   "execution_count": 255,
    "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]\n",
@@ -118,8 +119,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:00.148660Z",
-     "start_time": "2023-07-13T17:51:00.126408Z"
+     "end_time": "2023-07-18T18:19:51.511073Z",
+     "start_time": "2023-07-18T18:19:51.477125Z"
     }
    }
   },
@@ -135,12 +136,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 495,
+   "execution_count": 256,
    "id": "a59449e4-be36-49c8-94ed-35c14f5bb72d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:00.679684Z",
-     "start_time": "2023-07-13T17:51:00.150194Z"
+     "end_time": "2023-07-18T18:19:51.780525Z",
+     "start_time": "2023-07-18T18:19:51.502956Z"
     }
    },
    "outputs": [
@@ -148,7 +149,7 @@
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 495,
+     "execution_count": 256,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,42 +162,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 496,
+   "execution_count": 257,
    "outputs": [],
    "source": [
-    "added_gene_to_reaction = {\"EG10941\": \"putative-L-selenocysteine-synthesis\",\n",
-    "                          \"G7325\": \"cysteine-desulfurase-FeS-cluster-assembly\",\n",
-    "                          \"EG12132\": \"iron-transport-FeS-cluster-assembly\",\n",
-    "                          \"G7324\": \"complex-formation-FeS-cluster-assembly\",\n",
-    "                          \"EG12130\": \"cluster-transport-FeS-cluster-assembly\"\n",
+    "added_gene_to_reaction = {\"EG10941\": [\"putative-L-selenocysteine-synthesis\"],\n",
+    "                          \"G7325\": [\"cysteine-desulfurase-FeS-cluster-assembly\"],\n",
+    "                          \"EG12132\": [\"iron-transport-FeS-cluster-assembly\"],\n",
+    "                          \"G7324\": [\"complex-formation-FeS-cluster-assembly\"],\n",
+    "                          \"EG12130\": [\"2Fe2S-cluster-transport-FeS-cluster-assembly\"],\n",
+    "                          \"EG12332\": [\"4Fe4S-cluster-transport-FeS-cluster-assembly\"],\n",
+    "                          \"EG11328\": [\"cysteine-desulfurase-IscS-formation-FeS-cluster-assembly\", \"2Fe2S-conversion\"]\n",
     "                          # Missing HscB with HscA complex\n",
     "                          }"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:00.679933Z",
-     "start_time": "2023-07-13T17:51:00.675598Z"
+     "end_time": "2023-07-18T18:19:51.787727Z",
+     "start_time": "2023-07-18T18:19:51.784199Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 497,
+   "execution_count": 258,
    "id": "ab016fac-3d48-49fb-85c7-63826a8f5664",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:00.752470Z",
-     "start_time": "2023-07-13T17:51:00.682647Z"
+     "end_time": "2023-07-18T18:19:51.858355Z",
+     "start_time": "2023-07-18T18:19:51.797431Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "                Environment                                 Genes  \\\n0  Testing L-Selenocysteine                             {EG10941}   \n1     Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2          Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n\n                  Add Remove                    Demand Reactions Substrates  \n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}     [nan]      [nan]  \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}     [nan]      [nan]  \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}     [nan]      [nan]  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "             Environment                                              Genes  \\\n0  Testing Fe-S Clusters  {EG12132, G7325, EG12130, EG11328, EG12332, G7...   \n\n                                                 Add Remove  \\\n0  {CYS[c], reduced-ferredoxin[c], S-SULFANYL-cys...     {}   \n\n                                         Demand Reactions Substrates  \n0  {oxidized-ferredoxin[c], CPD-6[c], CPD-7[c]}     [nan]      [nan]  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, G7325, EG12130, EG11328, EG12332, G7...</td>\n      <td>{CYS[c], reduced-ferredoxin[c], S-SULFANYL-cys...</td>\n      <td>{}</td>\n      <td>{oxidized-ferredoxin[c], CPD-6[c], CPD-7[c]}</td>\n      <td>[nan]</td>\n      <td>[nan]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 497,
+     "execution_count": 258,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +218,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 498,
+   "execution_count": 259,
    "outputs": [],
    "source": [
     "length = len(condition_df.index)\n",
@@ -232,7 +235,8 @@
     "\n",
     "        r = s.get(req_str)\n",
     "        if gene in added_gene_to_reaction.keys():\n",
-    "            added_rxn_set.add(added_gene_to_reaction[gene])\n",
+    "            for elem in added_gene_to_reaction[gene]:\n",
+    "                added_rxn_set.add(elem)\n",
     "        else:\n",
     "            o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
     "            if type(o) is dict:\n",
@@ -244,8 +248,6 @@
     "                else:\n",
     "                    print(gene, rxn)\n",
     "\n",
-    "\n",
-    "\n",
     "    overall_list = []\n",
     "    for reaction in rxn_set:\n",
     "        compound_set = set()\n",
@@ -269,67 +271,60 @@
     "    condition_df.at[i, \"Reactions\"] = rxn_set | added_rxn_set\n",
     "    # condition_df.at[i, \"Reactions\"].update(added_rxn_set)\n",
     "    condition_df.at[i, \"Substrates\"] = overall_list\n",
-    "    condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
+    "    # condition_df.loc[i + length] = [condition_df.at[i, \"Environment\"] + \" CONTROL\", set(), set(), set(), set(), condition_df.at[i, \"Reactions\"], []]\n",
     "    # This is to create the control"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:02.744734Z",
-     "start_time": "2023-07-13T17:51:00.733161Z"
+     "end_time": "2023-07-18T18:19:52.249175Z",
+     "start_time": "2023-07-18T18:19:51.848628Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 499,
-   "id": "4ec194b0-2aeb-43b9-85c6-108bebb4a0e9",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:02.928048Z",
-     "start_time": "2023-07-13T17:51:02.772295Z"
-    }
-   },
+   "execution_count": 260,
    "outputs": [
     {
      "data": {
-      "text/plain": "                        Environment                                 Genes  \\\n0          Testing L-Selenocysteine                             {EG10941}   \n1             Testing Fe-S Clusters      {EG12132, EG12130, G7325, G7324}   \n2                  Vitamin B Uptake  {EG10126, EG10130, EG10127, EG10128}   \n3  Testing L-Selenocysteine CONTROL                                    {}   \n4     Testing Fe-S Clusters CONTROL                                    {}   \n5          Vitamin B Uptake CONTROL                                    {}   \n\n                  Add Remove                    Demand  \\\n0  {SER[c], SEPO3[c]}     {}     {L-SELENOCYSTEINE[c]}   \n1   {CYS[c], FE+2[c]}     {}  {DISORDERED-FdS-IscU[c]}   \n2   {COB-I-ALAMIN[p]}     {}         {COB-I-ALAMIN[c]}   \n3                  {}     {}                        {}   \n4                  {}     {}                        {}   \n5                  {}     {}                        {}   \n\n                                           Reactions  \\\n0              {putative-L-selenocysteine-synthesis}   \n1  {iron-transport-FeS-cluster-assembly, complex-...   \n2  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n3              {putative-L-selenocysteine-synthesis}   \n4  {iron-transport-FeS-cluster-assembly, complex-...   \n5  {BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...   \n\n                                          Substrates  \n0                                                 []  \n1                                                 []  \n2  [{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...  \n3                                                 []  \n4                                                 []  \n5                                                 []  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>{EG10941}</td>\n      <td>{SER[c], SEPO3[c]}</td>\n      <td>{}</td>\n      <td>{L-SELENOCYSTEINE[c]}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, EG12130, G7325, G7324}</td>\n      <td>{CYS[c], FE+2[c]}</td>\n      <td>{}</td>\n      <td>{DISORDERED-FdS-IscU[c]}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Vitamin B Uptake</td>\n      <td>{EG10126, EG10130, EG10127, EG10128}</td>\n      <td>{COB-I-ALAMIN[p]}</td>\n      <td>{}</td>\n      <td>{COB-I-ALAMIN[c]}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[{ADENOSYLCOBINAMIDE, P3I, CPD-20903, ATP}, {C...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Testing L-Selenocysteine CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{putative-L-selenocysteine-synthesis}</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Testing Fe-S Clusters CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{iron-transport-FeS-cluster-assembly, complex-...</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Vitamin B Uptake CONTROL</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{}</td>\n      <td>{BTUR2-RXN, RXN-19342, RXN0-1565, COBALADENOSY...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "             Environment                                              Genes  \\\n0  Testing Fe-S Clusters  {EG12132, G7325, EG12130, EG11328, EG12332, G7...   \n\n                                                 Add Remove  \\\n0  {CYS[c], reduced-ferredoxin[c], S-SULFANYL-cys...     {}   \n\n                                         Demand  \\\n0  {oxidized-ferredoxin[c], CPD-6[c], CPD-7[c]}   \n\n                                           Reactions Substrates  \n0  {complex-formation-FeS-cluster-assembly, iron-...         []  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Genes</th>\n      <th>Add</th>\n      <th>Remove</th>\n      <th>Demand</th>\n      <th>Reactions</th>\n      <th>Substrates</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>{EG12132, G7325, EG12130, EG11328, EG12332, G7...</td>\n      <td>{CYS[c], reduced-ferredoxin[c], S-SULFANYL-cys...</td>\n      <td>{}</td>\n      <td>{oxidized-ferredoxin[c], CPD-6[c], CPD-7[c]}</td>\n      <td>{complex-formation-FeS-cluster-assembly, iron-...</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 499,
+     "execution_count": 260,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "condition_df"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-18T18:19:52.271602Z",
+     "start_time": "2023-07-18T18:19:52.264527Z"
+    }
+   }
   },
   {
    "cell_type": "markdown",
-   "id": "bed4cb3d-8c43-44a6-9677-2769b81ade20",
-   "metadata": {},
    "source": [
     "## Quick and dirty but workhorse loop (after init)"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false
+   }
   },
   {
    "cell_type": "code",
-   "execution_count": 500,
+   "execution_count": 261,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "100\n",
-      "Finished Testing L-Selenocysteine\n",
-      "100\n",
-      "Finished Testing Fe-S Clusters\n",
-      "100\n",
-      "Finished Vitamin B Uptake\n",
-      "Finished Testing L-Selenocysteine CONTROL\n",
-      "Finished Testing Fe-S Clusters CONTROL\n",
-      "Finished Vitamin B Uptake CONTROL\n"
+      "Finished Testing Fe-S Clusters\n"
      ]
     }
    ],
@@ -339,20 +334,27 @@
     "all_flux = []\n",
     "\n",
     "reactions_add = {\"putative-L-selenocysteine-synthesis\": {'SEPO3[c]': -1, 'SER[c]': -1, 'Pi[c]': 1, 'L-SELENOCYSTEINE[c]': 1},\n",
-    "                 \"cysteine-desulfurase-FeS-cluster-assembly\": {'CYS[c]': -1, 'L-ALPHA-ALANINE[c]': 1, 'S-SULFANYL-IscS[c]': 1},\n",
+    "                 \"cysteine-desulfurase-FeS-cluster-assembly\": {'CYS[c]': -1, 'cysteine-desulfurase[c]': -1, 'L-ALPHA-ALANINE[c]': 1, 'S-SULFANYL-IscS[c]': 1},\n",
     "                 \"iron-transport-FeS-cluster-assembly\": {'FE+2[c]': -1, 'DISORDERED-FdS-IscU[c]': 1},\n",
     "                 \"complex-formation-FeS-cluster-assembly\": {'DISORDERED-FdS-IscU[c]': -1, 'S-SULFANYL-IscS[c]': -1, 'S-SULFANYL-DISORDERED-FdS-IscU[c]': 1},\n",
-    "                 \"cluster-transport-FeS-cluster-assembly\": {'S-SULFANYL-DISORDERED-FdS-IscU[c]': -1, 'ATP[c]': -1, 'ADP[c]': 1, 'CPD-6[c]': 1}\n",
+    "                 \"2Fe2S-cluster-transport-FeS-cluster-assembly\": {'S-SULFANYL-DISORDERED-FdS-IscU[c]': -1, 'ATP[c]': -1, 'ADP[c]': 1, 'CPD-6[c]': 1},\n",
+    "                 \"2Fe2S-conversion\": {'S-SULFANYL-DISORDERED-FdS-IscU[c]': -1, '4Fe4S-S-SULFANYL-DISORDERED-FdS-IscU[c]': 1},\n",
+    "                 \"4Fe4S-cluster-transport-FeS-cluster-assembly\": {'4Fe4S-S-SULFANYL-DISORDERED-FdS-IscU[c]': -1, 'ATP[c]': -1, 'ADP[c]': 1, 'CPD-7[c]': 1},\n",
+    "                 \"cysteine-desulfurase-IscS-formation-FeS-cluster-assembly\": {'S-SULFANYL-cysteine-desulfurase[c]': -1, 'ATP[c]': -1, 'reduced-ferredoxin[c]': -1, 'PROTON[c]': -1, 'AMP[c]': 1, 'oxidized-ferredoxin[c]': 1, 'cysteine-desulfurase[c]': 1\n",
+    "                 } # TRNA-S-TRANSFERASE-RXN, missing the tRNA cytosines!\n",
     "                 # Insert other added reactions here\n",
     "                 }\n",
     "\n",
-    "metabolites_add = ['S-SULFANYL-IscS[c]', 'DISORDERED-FdS-IscU[c]', 'S-SULFANYL-DISORDERED-FdS-IscU[c]', 'CPD-6[c]']\n",
+    "metabolites_add = ['S-SULFANYL-IscS[c]', 'DISORDERED-FdS-IscU[c]', 'S-SULFANYL-DISORDERED-FdS-IscU[c]', 'CPD-6[c]', 'cysteine-desulfurase[c]', 'S-SULFANYL-cysteine-desulfurase[c]', 'reduced-ferredoxin[c]', 'oxidized-ferredoxin[c]', '4Fe4S-S-SULFANYL-DISORDERED-FdS-IscU[c]', 'CPD-7[c]']\n",
     "\n",
     "catalyst_add = {\"putative-L-selenocysteine-synthesis\": 'CPLX0-1141[c]',\n",
     "                \"cysteine-desulfurase-FeS-cluster-assembly\": 'G7325-MONOMER[c]',\n",
     "                \"iron-transport-FeS-cluster-assembly\": 'EG12132-MONOMER[c]',\n",
-    "                \"complex-formation-FeS-cluster-assembly\": 'G7324-MONOMER[c]',\n",
-    "                \"cluster-transport-FeS-cluster-assembly\": 'HSC-Complex[c]'}\n",
+    "                \"complex-formation-FeS-cluster-assembly\": 'G7324-DIMER[c]',\n",
+    "                \"2Fe2S-conversion\": 'EG11328-MONOMER[c]',\n",
+    "                \"2Fe2S-cluster-transport-FeS-cluster-assembly\": 'HSC-Complex[c]',\n",
+    "                \"4Fe4S-cluster-transport-FeS-cluster-assembly\": 'EG12332-MONOMER[c]',\n",
+    "                'cysteine-desulfurase-IscS-formation-FeS-cluster-assembly': 'EG11328-MONOMER[c]'}\n",
     "\n",
     "for j in range(len(condition_df)):\n",
     "    metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
@@ -403,20 +405,15 @@
     "                                                if type(demand_compound) is not str and demand_compound['Compound']['@frameid'] in homeostatic:\n",
     "                                                    homeostatic[met] += homeostatic[demand_compound['Compound']['@frameid']]\n",
     "                                            except KeyError:\n",
-    "                                                if type(demand_compound) is not str and demand_compound['Protein']['@frameid'] in homeostatic:\n",
-    "                                                    homeostatic[met] += homeostatic[demand_compound['Protein']['@frameid']]\n",
+    "                                                pass\n",
     "                                except KeyError:\n",
-    "                                    if compound['Protein']['@frameid'] == name:\n",
-    "                                        for demand_compound in right:\n",
-    "                                            if type(demand_compound) is not str and demand_compound['Compound']['@frameid'] in homeostatic:\n",
-    "                                                homeostatic[met] += homeostatic[demand_compound['Compound']['@frameid']]\n",
-    "                                finally:\n",
     "                                    pass\n",
     "\n",
     "            homeostatic[met] += flat_demand_add\n",
     "            # Maybe look at what the demanded metabolite goes into and use that quantity + a flat value\n",
     "\n",
     "    uptake = set(uptake)\n",
+    "    exchange = set(metabolism.exchange_molecules)\n",
     "\n",
     "    addition = condition_df.at[condition_idx, \"Add\"]\n",
     "    removals = condition_df.at[condition_idx, \"Remove\"]\n",
@@ -424,13 +421,15 @@
     "    uptake = uptake | addition\n",
     "    uptake = uptake - removals\n",
     "\n",
+    "    exchange = exchange | uptake\n",
+    "\n",
     "    for reaction in condition_df.at[condition_idx, \"Reactions\"]:\n",
     "        if reaction in catalyst_add:\n",
     "            catalyst_idx[catalyst_add[reaction]] = len(catalyst_idx)\n",
     "\n",
     "        if reaction in reactions_add:\n",
     "            for metabolite in reactions_add[reaction]:\n",
-    "                if metabolite in metabolites_add:\n",
+    "                if metabolite in metabolites_add and metabolite not in metabolites_idx:\n",
     "                    new_row = np.zeros([1, np.shape(new_stoich)[1]])\n",
     "                    new_stoich = np.append(new_stoich, new_row, axis=0)\n",
     "                    new_metabolites.append(metabolite)\n",
@@ -455,18 +454,18 @@
     "            metabolites=new_metabolites,\n",
     "            reactions=new_reaction_names,\n",
     "            homeostatic_metabolites=list(dict(homeostatic).keys()),\n",
-    "            kinetic_reactions=list(dict(kinetic).keys()),\n",
-    "            free_reactions=FREE_RXNS)\n",
-    "    model.set_up_exchanges(exchanges=metabolism.exchange_molecules, uptakes=uptake)\n",
+    "            kinetic_reactions=list(dict(kinetic).keys()))\n",
+    "\n",
+    "    model.set_up_exchanges(exchanges=exchange, uptakes=uptake)\n",
     "\n",
     "    objective_weights = {'secretion': 0.01, 'efficiency': 0.0001, 'kinetics': 0.000001}\n",
     "    solution: FlowResult = model.solve(\n",
-    "                homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
-    "                maintenance_target=maintenance,\n",
-    "                kinetic_targets=np.array(list(dict(kinetic).values())),\n",
-    "                binary_kinetic_idx=[],\n",
-    "                objective_weights=objective_weights,\n",
-    "                upper_flux_bound=100000000)\n",
+    "            homeostatic_targets=np.array(list(dict(homeostatic).values())),\n",
+    "            maintenance_target=maintenance,\n",
+    "            kinetic_targets=np.array(list(dict(kinetic).values())),\n",
+    "            binary_kinetic_idx=[],\n",
+    "            objective_weights=objective_weights,\n",
+    "            upper_flux_bound=100000000)\n",
     "\n",
     "    # Check flux\n",
     "    fluxes = pd.Series(solution.velocities, index=new_reaction_names)\n",
@@ -508,33 +507,29 @@
     "                          zero_fluxes[k]]], columns=[\"Environment\", \"Reaction\", \"Flux\"]))\n",
     "\n",
     "    print(f\"\"\"Finished {condition_df.at[condition_idx, \"Environment\"]}\"\"\")\n",
+    "\n",
+    "    index = metabolites_idx[\"S-SULFANYL-DISORDERED-FdS-IscU[c]\"]\n",
+    "    np.savetxt('notebooks/new_environments/metabolite', new_stoich[:,np.shape(new_stoich)[1] - 4])\n",
     "zero_df.to_csv(r'notebooks/new_environments/figures/zero_flux.csv')"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:22.981362Z",
-     "start_time": "2023-07-13T17:51:02.923739Z"
+     "end_time": "2023-07-18T18:20:00.582174Z",
+     "start_time": "2023-07-18T18:19:52.269293Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 501,
-   "id": "3feb60e7-d881-4b21-afc4-e501301874bc",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:23.002251Z",
-     "start_time": "2023-07-13T17:51:22.994149Z"
-    }
-   },
+   "execution_count": 262,
    "outputs": [
     {
      "data": {
-      "text/plain": "                Environment                                   Reaction  \\\n0  Testing L-Selenocysteine        putative-L-selenocysteine-synthesis   \n0     Testing Fe-S Clusters  cysteine-desulfurase-FeS-cluster-assembly   \n0          Vitamin B Uptake                                  ABC-5-RXN   \n\n       Flux  log(Flux)  \n0     100.0   2.000000  \n0  771039.0   5.887076  \n0     100.0   2.000000  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing L-Selenocysteine</td>\n      <td>putative-L-selenocysteine-synthesis</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>771039.0</td>\n      <td>5.887076</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Vitamin B Uptake</td>\n      <td>ABC-5-RXN</td>\n      <td>100.0</td>\n      <td>2.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "             Environment                                           Reaction  \\\n0  Testing Fe-S Clusters             complex-formation-FeS-cluster-assembly   \n0  Testing Fe-S Clusters                iron-transport-FeS-cluster-assembly   \n0  Testing Fe-S Clusters          cysteine-desulfurase-FeS-cluster-assembly   \n0  Testing Fe-S Clusters  cysteine-desulfurase-IscS-formation-FeS-cluste...   \n0  Testing Fe-S Clusters       2Fe2S-cluster-transport-FeS-cluster-assembly   \n0  Testing Fe-S Clusters                                   2Fe2S-conversion   \n0  Testing Fe-S Clusters       4Fe4S-cluster-transport-FeS-cluster-assembly   \n\n    Flux  log(Flux)  \n0  200.0    2.30103  \n0  200.0    2.30103  \n0  200.0    2.30103  \n0  200.0    2.30103  \n0  100.0    2.00000  \n0  100.0    2.00000  \n0  100.0    2.00000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Environment</th>\n      <th>Reaction</th>\n      <th>Flux</th>\n      <th>log(Flux)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>complex-formation-FeS-cluster-assembly</td>\n      <td>200.0</td>\n      <td>2.30103</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>iron-transport-FeS-cluster-assembly</td>\n      <td>200.0</td>\n      <td>2.30103</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-FeS-cluster-assembly</td>\n      <td>200.0</td>\n      <td>2.30103</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>cysteine-desulfurase-IscS-formation-FeS-cluste...</td>\n      <td>200.0</td>\n      <td>2.30103</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>2Fe2S-cluster-transport-FeS-cluster-assembly</td>\n      <td>100.0</td>\n      <td>2.00000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>2Fe2S-conversion</td>\n      <td>100.0</td>\n      <td>2.00000</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Testing Fe-S Clusters</td>\n      <td>4Fe4S-cluster-transport-FeS-cluster-assembly</td>\n      <td>100.0</td>\n      <td>2.00000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 501,
+     "execution_count": 262,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -543,11 +538,18 @@
     "# results_df[\"Reaction\"] = results_df['Reaction'].str.slice(0,20)\n",
     "results_df[\"log(Flux)\"] = np.log10(results_df[\"Flux\"])\n",
     "results_df"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-18T18:20:00.582764Z",
+     "start_time": "2023-07-18T18:20:00.573306Z"
+    }
+   }
   },
   {
    "cell_type": "code",
-   "execution_count": 502,
+   "execution_count": 263,
    "outputs": [],
    "source": [
     "# for each environment, plot the fluxes of the reactions that are relevant to that environment.\n",
@@ -557,14 +559,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:23.016640Z",
-     "start_time": "2023-07-13T17:51:23.002536Z"
+     "end_time": "2023-07-18T18:20:00.588073Z",
+     "start_time": "2023-07-18T18:20:00.580528Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 503,
+   "execution_count": 264,
    "outputs": [],
    "source": [
     "import textwrap\n",
@@ -580,19 +582,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:23.038316Z",
-     "start_time": "2023-07-13T17:51:23.012934Z"
+     "end_time": "2023-07-18T18:20:00.600312Z",
+     "start_time": "2023-07-18T18:20:00.589596Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 504,
+   "execution_count": 265,
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 900x600 with 1 Axes>",
-      "image/png": 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329pjv34GDBjwXNfzwIEDVovFYq1cubL14MGDceqaN2+e1Ww2W1977TXro0eP4l0PvLhiX+NmsznZj0mNr6Xnua8B6Uns/fvf7w8JmTp1qu29Nlbsa6RChQpWPz8/W/vNmzetzZs3t5rNZuuPP/4YZ5yKFStazWaz9erVq3Ha27ZtG+/9y2q1Wh89emQdMGCA1Ww2Wz/44ANb+7+/JwgLC7P27t3bajabre+88441NDQ0zjirVq2yms1ma/369a1nzpyxtUdGRsZ5v46Ojn7itQAAAMCLixmzSFcqVaqkhQsXqnTp0pKk69eva+XKlRo1apRef/111atXT5MnT9b9+/fjPC4wMFCrVq2Sm5ubvvnmmzgfH8yWLZu+/vprOTk5ycfHR8HBwYme/88//9TevXuVP39+jRs3Ls7MmNy5c+vLL7+UJP30008JPn7cuHHKnj277d9ly5ZVhQoVJElnz561tc+ZM0dSzKzZ2OcqSRkyZFC/fv1Ur1493bt3T4sXL5YUs0TD0qVLZTKZ9M0339iWFpAkT09PffjhhypSpIgCAgIkSR06dFCGDBm0ceNGhYWF2fqGhIRow4YNcnNzU7NmzSRJN2/elCTlzJlTbm5utr7Ozs4aNWqUPvvsM9WuXTvRaxZr69atunjxoipUqKAPP/xQjo7/W0mlePHiGj58uCRp9uzZTxwrVnKv5+zZs2W1WjV06FBVqlQpzhg9evTQa6+9phs3bmjt2rXJPjdeLBaLJdE/3bp1s/VLja+lZ72vAS+rwYMHq2LFirZ/e3h42N5/Fy5cmOCnVh736NEjlShRQg0aNNA777wT55iLi4vatWsnKWapg4RERETo/fff1+7du1W3bl39+OOPypgxY5w+s2bNkhTzPmU2m23tDg4O+uijj2Q2m3X8+HHt3bs3mc8aAAAALyKCWaQ7ZcuW1YoVK7Rq1SoNHjxYtWrVsgWG169f16xZs/T666/r9OnTtsccPHhQkZGRKlWqVIJruuXOnVslSpRQaGhogh/vj7Vv3z5JMUFK7Dp2/67N3d1dN27c0KVLl+Icy5Mnj/LkyRPvMR4eHpJiflCUpBs3bujKlStydXW1rYn3by1btoxTz4kTJxQcHKyiRYuqSJEi8fo3b95cGzduVN++fSVJ+fLlU40aNXT//n1t3brV1m/Tpk16+PChmjdvbgudK1asKCcnJ/n5+enNN9/UL7/8Ylu/1mKxqHPnzraPYicl9ofP6tWrJ3i8Tp06ypAhg44ePWq7FklJ7vWMiorSgQMHkjx33bp1Jf3veuLl07Jly0T/1KhRQ1Lqfi09y30NeFm1aNEiXlu5cuXk4eGhwMBA23tUYlxdXTV+/HhNnz49zi8J79y5o/379+v333+XFBPA/lt0dLQ+/PBD7dy5U9myZdN3330X7/uBW7du6fz583J0dFTlypXjjZEhQwbbLzR53wEAAHi5sfkX0owtW7Zoy5Yt8dorV66sTp06xWsvWbKkSpYsqf79+ysqKkonTpzQli1btGjRIt2+fVsDBw7Upk2b5OTkpOvXr0uKCWgtFkuSdfz999+JHosdZ9WqVVq1atUTxylcuLDt31mzZk2wX+wPhdHR0ZJiZvdKMcHj4z8wPq5AgQJx+j7+mOTq1KmTfH19tXLlStsPucuWLZMUM6M2lqenpyZPnqxPP/1Uhw8f1uHDhyVJefPmVb169dSxY0eVKFHiieeLva4//PCDfvjhhyT7BgYG6tVXX02yT3KvZ1BQkC2kfXy924TE/v/i5TNp0qQn9nmWr6XUvK8B6Y2Dg4MkPXFGqxTzixBJ8ULP7Nmzx/mkxOPy5s2rwMBA3bx5U8WKFXviOY4dO6alS5fq+PHj+uuvv/Tw4UNJ/9uIL6E6Hz58qC1btsjR0VH37t3TggUL1Lt37zh9Yt/vIiMjVaZMmSRr4H0HAADg5UYwizTjzJkzCX7819HRUZ06ddLNmzcVEBAgDw8PWzAZy8HBQWXLllXZsmXVunVrtW/fXgEBATp06JCqVatm++GqcOHC8vLySrKO3LlzJ3osNuwrXbp0gjNTH/fv4DCpHdcf9yw/sEZGRj7VOSSpXr16ypkzp/bs2aObN28qNDRUhw4dktlsVtmyZeP0bdKkiWrVqqVdu3Zp9+7d2r9/v65fv66FCxfKx8dHY8eOTTBkelzstatcuXKS11hSskKn5D7X2PM6OjqqadOmSfbNly9fssbEy+lZvpZS874GpDeZM2eWFLNszpPELiuULVu2OO2x4W5CYt8/k+oTa+LEiZo7d64kqUiRIqpbt66KFCmiUqVKKTo6WgMHDkz0sY0aNVLXrl319ttva+rUqapfv36c7wli7xVZs2a1bYiZmCd9TwIAAIAXG8Es0oxBgwZp0KBBiR7/9ddfNXv2bHXs2FGff/55ov2KFy+uChUqaO/evQoKCpIk5cqVS1JMoJqcmXGJif2YfO3atTV48OBnHic55/j7778VGRmZ4KzZ2J2cY9eSjX1+N27cSHDMR48eacWKFSpUqJBq1qwpKSb8bNu2rWbPnq3NmzfbflB+4403Ehwjdt3Z2LVnL1++rDlz5mjp0qWaOHGi2rVrl2SgGvu8WrVqpY4dOyZ9EVJQ9uzZ5eTkpKioKH355Zfx1gEEkutZvpZS874GpDf58+eXyWRSUFCQHjx4oCxZsiTaN3Y5oLx588ZpDwoKUlhYWIKvv9h11J/0SzY/Pz/NnTtXWbJk0YwZM+KtF53QLPdYmTJl0rfffitHR0d17NhRS5Ys0SeffKJFixYpQ4aYFcJi35NdXFye63sOAAAAvPhYYxbpRuwPThs2bLB9dD8hkZGRtuAydsONypUry2Qyac+ePQmuXxoSEqJWrVrpzTffTHJtuipVqkiSduzYkeDM1hs3bqhx48bq1q3bM4cnefLkUYECBfTo0SPt2LEjwT7r16+XJNusOS8vL2XMmFHnzp3T1atX4/X/448/NG7cOE2bNi1Oe8eOHWUymbR582Zt2bJFzs7Oat26dZw+ixcvVoMGDTRz5sw47YUKFdKYMWPk4OCghw8f6sGDB5ISn8kae+22b9+e4PFjx46pUaNG6t+/v20GcEpwcnKSt7e3oqOjtXPnzgT7TJw4Ua1bt9b8+fNT7Lx48aTG19Lz3NeA9CZz5sy2Nck3btyYaL+7d+/q4MGDkhRvdnhUVJR2794d7zF+fn66ffu2ChUqFGf2eULvSf7+/pKkGjVqxAtlJdnGj535+jgHBwfbL0w/+ugjeXh46PDhw/rll19sffLly6d8+fIpMDBQx44dS/A5fvjhh2rXrp02bNiQ4HEAAAC8HAhmkW7UqVNH3t7eCg4OVrdu3bR///54fe7cuaNhw4bp2rVratiwoe2jhfnz51fjxo11584dDR48WHfu3LE9Jjw8XJ9++qnOnDmjoKCgJJcoqFKlisqUKaOzZ89q1KhRtvXopJiPXX788cf666+/5OzsnOgaeMkRu0v0uHHjdOrUKVu71WrVzJkztWvXLmXLls0WombKlElvvPGGrFarhg0bpnv37tkec/PmTX399deSFG+masGCBVW1alX5+/vrxIkTatSoUby6ixQpooCAAM2bNy/ehmbr1q1TVFSU8ufPL3d3d0myzWIKDg6O80Nts2bNlCdPHv33v//Vt99+G2dTlcDAQH3yySe6cuWKPDw8El1b91n16tVLUsz1/PfXzZYtW/Trr7/q9OnTfKQUT5TSX0vPc18D0qN3331XkvT1118n+Iu6W7duafDgwQoLC1PTpk3jrNUea8KECbZfVEgxnzAZOXKkJMVb7zX2Pen+/fu2tthNQA8fPqzbt2/b2qOjo/Xrr7/a1lsPDw9P8rlkyZJFo0ePliR9++23+uuvv2zHYu8VQ4cOjbdp34IFC7R+/XqdPXtW5cuXT/IcAAAAeLGxlAEMcfjwYdtH6BOSO3duLV++PMkxTCaTZsyYoQEDBsjf31/du3dX3rx5ZTab5erqqps3b+rYsWOKiIhQlSpVNHHixDiPHzdunK5cuaKdO3eqYcOG8vLykpubm44eParbt28rR44cmjp16hPXLp0yZYp69OihZcuWadu2bfLy8pKDg4P8/f314MEDFSxYUOPHj0/+xUnAm2++qePHj2v58uVq3769KlasKHd3d508eVJXrlxRlixZ9H//93/y9PS0PWbo0KE6efKkDh06pAYNGqhy5coKDw+Xv7+/QkJC1KxZM7Vt2zbeuTp16mTbFfrxTb9iValSRR06dNBvv/2mFi1aqEKFCsqRI4cCAgJ04sQJOTk5aezYsbb+efLkkaurq+7du6fOnTurYMGCmjRpkjJmzKipU6eqT58++vHHH7V8+XKVKlVKkZGROnjwoMLCwlSuXDl9/PHHz3XtElK3bl29++67mj59urp3765SpUopf/78unr1qi34Hjp0qCpUqJDi58aLJaW/lp73vgakN40aNdLAgQM1ffp0vfvuuypQoICKFy8uZ2dn3bx5U8ePH1dERISqVaumzz77LMExrFarWrRooWrVqilDhgzat2+fHj16pLZt28ZbjqdIkSK6deuWBg0apNKlS2vo0KFq2rSpfvzxR127dk1NmjRRpUqVZDKZdOLECd28eVPFixfX+fPndfv2bUVHR9uWKEjs+TRq1Ehbt27VJ598ogULFshkMqlLly46duyYVq5cqfbt26tUqVLKnTu3zp07p0uXLilDhgz66quv4i3VAAAAgJcLwSwMERERoX/++SfR48ld9zN79uxatGiRNm/erK1bt+rPP/+Un5+fwsLC5O7urtdee00tWrRQ06ZN4wWs2bNn1+LFi7Vw4UJt2LDB9vHCvHnzqnXr1urZs2ecoDMxBQoU0MqVKzVv3jxt27ZNfn5+cnJyUr58+dS4cWO99dZb8TYreVomk0njx49XnTp1tHjxYh0/flyhoaHKkyePunfvrp49e8ZbQy9TpkyaP3++FixYoLVr12rv3r2Kjo5WsWLF1Kl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+      "text/plain": "<Figure size 300x600 with 1 Axes>",
+      "image/png": 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      },
      "metadata": {},
      "output_type": "display_data"
@@ -612,8 +614,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-13T17:51:23.821339Z",
-     "start_time": "2023-07-13T17:51:23.051544Z"
+     "end_time": "2023-07-18T18:20:01.512004Z",
+     "start_time": "2023-07-18T18:20:00.600977Z"
     }
    }
   }
diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
index 33129b97e1b61125c5992bad132158baa684584b..8cd47b04fac2b180fc4b5863e1a6d309aed164f5 100644
GIT binary patch
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diff --git a/notebooks/new_environments/testing_pathways.ipynb b/notebooks/new_environments/testing_pathways.ipynb
new file mode 100644
index 000000000..a5205e366
--- /dev/null
+++ b/notebooks/new_environments/testing_pathways.ipynb
@@ -0,0 +1,115 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "import cvxpy as cp\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-14T18:33:13.001144Z",
+     "start_time": "2023-07-14T18:33:12.991515Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-07-14T18:33:13.047304Z",
+     "start_time": "2023-07-14T18:33:13.035902Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1. 1. 1. 1.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "    s_matrix = np.array([[-1, 1, 1, 0, 0, 0, 0, 0, 0],\n",
+    "                         [0, 0, 0, -1, 1, 0, 0, 0, 0],\n",
+    "                         [0, 0, -1, 0, -1, 1, 0, 0, 0],\n",
+    "                         [0, 0, 0, 0, 0, -1, -1, 1, 1]]).T\n",
+    "\n",
+    "    metabolites = [\"CYS[c]\", \"L-ALPHA-ALANINE[c]\", \"S-SULFANYL-IscS[c]\", \"FE+2[c]\", \"DISORDERED-FdS-IscU[c]\", \"S-SULFANYL-DISORDERED-FdS-IscU[c]\", \"ATP[c]\", \"ADP[c]\", \"CPD-6[c]\"]\n",
+    "    reactions = [\"cysteine-desulfurase-FeS-cluster-assembly\", \"iron-transport-FeS-cluster-assembly\", \"complex-formation-FeS-cluster-assembly\", \"cluster-transport-FeS-cluster-assembly\"]\n",
+    "    homeostatic_metabolites = {\"CPD-6[c]\": 1} # Demand has to be added for everything in the pathway\n",
+    "\n",
+    "    exchanges = {\"CYS[c]\", \"FE+2[c]\", \"ATP[c]\", \"ADP[c]\", \"L-ALPHA-ALANINE[c]\"}\n",
+    "    uptakes = {\"CYS[c]\", \"FE+2[c]\", \"ATP[c]\"}\n",
+    "\n",
+    "    model = NetworkFlowModel(stoich_arr=s_matrix, reactions=reactions,\n",
+    "                             metabolites=metabolites, homeostatic_metabolites=list(homeostatic_metabolites.keys()),\n",
+    "                             kinetic_reactions=None)\n",
+    "\n",
+    "    model.set_up_exchanges(exchanges=exchanges, uptakes=uptakes)\n",
+    "\n",
+    "    solution: FlowResult = model.solve(homeostatic_targets=list(homeostatic_metabolites.values()),\n",
+    "                                       objective_weights={'secretion': 0.01, 'efficiency': 0.0001},\n",
+    "                                       # 0.01, 0.0001\n",
+    "                                       upper_flux_bound=100, solver=cp.GLOP)\n",
+    "\n",
+    "    print(solution.velocities)\n",
+    "    assert np.isclose(solution.velocities, np.array([1, 1, 1, 1])).all() == True, \"Network flow toy model did not converge to correct solution.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-14T18:33:13.052859Z",
+     "start_time": "2023-07-14T18:33:13.048695Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

From 18d6f8e92791c76272383c9cac532993a3a50f4d Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 21 Jul 2023 10:47:45 -0700
Subject: [PATCH 42/58] Adding actual experiment file for the new environments

---
 .../new_environments_test/done.xlsx           | Bin 0 -> 17116 bytes
 .../new_environments_test/env_temp.xlsx       | Bin 0 -> 11805 bytes
 .../new_environments_test/new_env.xlsx        | Bin 0 -> 13757 bytes
 .../new_environments_sim.py                   | 194 ++++++++++++++++++
 4 files changed, 194 insertions(+)
 create mode 100644 ecoli/experiments/new_environments_test/done.xlsx
 create mode 100644 ecoli/experiments/new_environments_test/env_temp.xlsx
 create mode 100644 ecoli/experiments/new_environments_test/new_env.xlsx
 create mode 100644 ecoli/experiments/new_environments_test/new_environments_sim.py

diff --git a/ecoli/experiments/new_environments_test/done.xlsx b/ecoli/experiments/new_environments_test/done.xlsx
new file mode 100644
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HcmV?d00001

diff --git a/ecoli/experiments/new_environments_test/new_environments_sim.py b/ecoli/experiments/new_environments_test/new_environments_sim.py
new file mode 100644
index 000000000..3a4ba1d5e
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/new_environments_sim.py
@@ -0,0 +1,194 @@
+"""
+==================================
+Metabolism using user-friendly FBA
+==================================
+"""
+import argparse
+
+# vivarium-core imports
+import pytest
+from vivarium.core.engine import Engine
+from vivarium.core.composer import Composer
+from vivarium.library.dict_utils import deep_merge
+
+# vivarium-ecoli imports
+from ecoli.experiments.ecoli_master_sim import EcoliSim, CONFIG_DIR_PATH
+from ecoli.library.sim_data import LoadSimData
+from ecoli.states.wcecoli_state import get_state_from_file
+from ecoli.composites.ecoli_master import SIM_DATA_PATH
+from ecoli.processes.metabolism_redux import MetabolismRedux
+from ecoli.processes.stubs.exchange_stub import Exchange
+from ecoli.processes.registries import topology_registry
+
+import numpy as np
+import pathlib, datetime
+import dill
+import pandas as pd
+
+# get topology from ecoli_master
+metabolism_topology = topology_registry.access('ecoli-metabolism')
+
+
+# make a composite with Exchange
+class MetabolismExchange(Composer):
+    defaults = {
+        'metabolism': {
+            'kinetic_rates': [],
+        },
+        'exchanger': {},
+        'sim_data_path': SIM_DATA_PATH,
+        'seed': 0,
+    }
+
+    def __init__(self, config=None):
+        super().__init__(config)
+        self.load_sim_data = LoadSimData(
+            sim_data_path=self.config['sim_data_path'],
+            seed=self.config['seed'])
+
+    def generate_processes(self, config):
+        # configure metabolism
+        metabolism_config = self.load_sim_data.get_metabolism_redux_config()
+        metabolism_config = deep_merge(metabolism_config, config['metabolism'])
+        metabolism_process = MetabolismRedux(metabolism_config)
+
+        example_update = {'ATP[c]': 9064, 'DATP[c]': 2222, 'DCTP[c]': 1649, 'DGTP[c]': 1647, 'FAD[c]': 171,
+                          'GTP[c]': 20122, 'LEU[c]': 325, 'METHYLENE-THF[c]': 223, 'NAD[c]': 769,
+                          'PHENYL-PYRUVATE[c]': 996, 'REDUCED-MENAQUINONE[c]': 240, 'UTP[c]': 14648}
+
+        # configure exchanger stub process
+        # TODO -- this needs a dictionary with {mol_id: exchanged counts/sec}
+        exchanger_config = {'exchanges': example_update, 'time_step': metabolism_config['time_step']}
+        exchanger_process = Exchange(exchanger_config)
+
+        return {
+            'metabolism': metabolism_process,
+            'exchanger': exchanger_process,
+        }
+
+    def generate_topology(self, config):
+        return {
+            'metabolism': metabolism_topology,
+            'exchanger': {
+                'bulk': ('bulk',),
+            }
+        }
+
+def run_ecoli_with_metabolism_redux(
+        filename='fba_new_environments',
+        total_time=50,
+        divide=True,
+        initial_state_file='wcecoli_t0',
+        progress_bar=True,
+        log_updates=False,
+        emitter='timeseries',
+        name='fba_new_environments',
+        raw_output=False,
+        save=False,        # save_times=4,
+):
+    condition_df = pd.read_excel("ecoli/experiments/new_environments_test/new_env.xlsx")
+    condition_df["Add"] = condition_df["Add"].apply(lambda x: set(str(x).split(", ") if x == x else set()))
+    condition_df["Remove"] = condition_df["Remove"].apply(lambda x: set(str(x).split(", ") if x == x else set()))
+    condition_df["Demand"] = condition_df["Demand"].apply(lambda x: set(str(x).split(", ") if x == x else set()))
+
+    for i in range(len(condition_df)):
+        env_name = f'{condition_df.loc[i, "Environment"]}'
+        if env_name[:4] == 'SKIP':
+            continue
+        # filename = 'default'
+        sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
+        sim.total_time = total_time
+        sim.divide = divide
+        sim.progress_bar = progress_bar
+        sim.log_updates = log_updates
+        sim.emitter = emitter
+        sim.initial_state = get_state_from_file(path=f'data/{initial_state_file}.json')
+        sim.raw_output = raw_output
+        sim.save = save
+        # sim.save_times = [4]
+        to_add = condition_df.loc[i, "Add"]
+        to_remove = condition_df.loc[i, "Remove"]
+
+        sim.initial_state['environment']['exchange_data']['constrained'] = {}
+        sim.initial_state['environment']['exchange_data']['unconstrained'].add('GLC[p]')
+        sim.initial_state['environment']['exchange_data']['unconstrained'].add('AMMONIUM[p]')
+        sim.initial_state['environment']['exchange_data']['unconstrained'].remove('AMMONIUM[c]')
+
+
+        for mol in to_add:
+            sim.initial_state['environment']['exchange_data']['unconstrained'].add(mol)
+
+        for mol in to_remove:
+            sim.initial_state['environment']['exchange_data']['unconstrained'].remove(mol)
+
+        try:
+            sim.build_ecoli()
+            sim.run()
+
+            query = []
+            folder = f'out/fba_new_env/{name}_{env_name}_{total_time}_{datetime.date.today()}/'
+            save_sim_output(folder, query, sim, save_model=True)
+        except ValueError:
+            pass
+@pytest.mark.slow
+def test_ecoli_with_metabolism_redux(
+        filename='fba_redux',
+        total_time=4,
+        divide=False,
+        progress_bar=True,
+        log_updates=False,
+        emitter='timeseries',
+):
+    sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
+    sim.total_time = total_time
+    sim.divide = divide
+    sim.progress_bar = progress_bar
+    sim.log_updates = log_updates
+    sim.emitter = emitter
+    sim.build_ecoli()
+
+    # run simulation and add asserts to output
+    sim.run()
+
+    # assert 'ecoli-metabolism-gradient-descent' in sim.ecoli['processes']
+    # assert 'ecoli-metabolism' not in sim.ecoli['processes']
+    # assert 'ecoli-metabolism-gradient-descent' in sim.ecoli['topology']
+    # assert 'ecoli-metabolism' not in sim.ecoli['topology']
+
+experiment_library = {
+    '0': run_ecoli_with_metabolism_redux,
+    '1': test_ecoli_with_metabolism_redux,
+}
+
+
+def save_sim_output(folder, query, sim, save_model=False):
+    agents = sim.query()['agents'].keys()
+    for agent in agents:
+        query.extend([('agents', agent, 'listeners', 'fba_results'),
+                      ('agents', agent, 'listeners', 'mass'),
+                      ('agents', agent, 'bulk')])
+    output = sim.query(query)
+    pathlib.Path(folder).mkdir(parents=True, exist_ok=True)
+    np.save(folder + 'output.npy', output)
+
+    if save_model:
+        f = open(folder + 'agent_processes.pkl', 'wb')
+        dill.dump(sim.ecoli['processes']['agents'][agent], f)
+        f.close()
+
+        f = open(folder + 'agent_steps.pkl', 'wb')
+        dill.dump(sim.ecoli['steps']['agents'][agent], f)
+        f.close()
+
+# run experiments with command line arguments: python ecoli/experiments/metabolism_redux_sim.py -n exp_id
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description='user-friendly metabolism')
+    parser.add_argument('--name', '-n', default=[], nargs='+', help='test ids to run')
+    args = parser.parse_args()
+    run_all = not args.name
+
+    for name in args.name:
+        experiment_library[name]()
+    if run_all:
+        for name, test in experiment_library.items():
+            test()

From 9dbf1f47ac9f3fa8cd04bdc6f54ae9d0adeae01f Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Mon, 24 Jul 2023 10:30:47 -0700
Subject: [PATCH 43/58] Added a notebook for analysis of official simulation
 run

---
 .../actual_sim_analysis.ipynb                 | 442 ++++++++++++++++++
 .../new_environments_sim.py                   |   1 -
 2 files changed, 442 insertions(+), 1 deletion(-)
 create mode 100644 ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb

diff --git a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
new file mode 100644
index 000000000..dd37551ae
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
@@ -0,0 +1,442 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-07-21T23:58:22.589016Z",
+     "start_time": "2023-07-21T23:58:22.548108Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import requests\n",
+    "import xmltodict\n",
+    "import os\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
+    "\n",
+    "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a143cbbb-3570-4548-bc24-f499c070a880",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Import simulation output\n",
+    "\n",
+    "Before running this, I ran a sim in ecoli/experiments/new_environments.py with -n 0 to generate a simulation output. This is necessary to replicate the simulation environment, where we e.g. have dynamic demand for amino acids and nucleotides, and varying cell volumes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "outputs": [],
+   "source": [
+    "flux_save = pd.DataFrame()\n",
+    "\n",
+    "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Demand\"] = condition_df[\"Demand\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "\n",
+    "for i in range(len(condition_df)):\n",
+    "    time = '50'\n",
+    "    date = '2023-07-21'\n",
+    "    experiment = 'fba_new_environments'\n",
+    "    env_name = f'{condition_df.loc[i, \"Environment\"]}'\n",
+    "    entry = f'{experiment}_{env_name}_{time}_{date}'\n",
+    "    folder = f'out/fba_new_env/{entry}/'\n",
+    "    try:\n",
+    "        output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "        # output = np.load(r\"out/geneRxnVerifData/output_glc.npy\", allow_pickle=True, encoding='ASCII').tolist()\n",
+    "        output = output['agents']['0']\n",
+    "        fba = output['listeners']['fba_results']\n",
+    "        mass = output['listeners']['mass']\n",
+    "        bulk = pd.DataFrame(output['bulk'])\n",
+    "        # this is the model itself - we'll pull e.g. stoichiometry from here.\n",
+    "        f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "        agent = dill.load(f)\n",
+    "        f.close()\n",
+    "\n",
+    "        metabolism = agent['ecoli-metabolism-redux']\n",
+    "        stoichiometry = metabolism.stoichiometry\n",
+    "\n",
+    "        # sim_exchanges = pd.DataFrame(fba[\"estimated_exchange_dmdt\"])\n",
+    "        # sim_exchanges = pd.DataFrame(sim_exchanges.loc[24, :].abs().sort_values(ascending=False))\n",
+    "        # if os.path.exists(f'out/new_env_analysis/{env_name}'):\n",
+    "        #     pass\n",
+    "        # else:\n",
+    "        #     os.mkdir(f'out/new_env_analysis/{env_name}')\n",
+    "        # sim_exchanges.to_csv(rf'out/new_env_analysis/{env_name}/sim_exchanges.csv')\n",
+    "\n",
+    "        sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "        sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "        if i == 0:\n",
+    "            flux_save = sim_fluxes\n",
+    "        else:\n",
+    "            new_col = sim_fluxes.iloc[:,0].to_frame()\n",
+    "            flux_save[env_name] = new_col\n",
+    "            # flux_save[0, np.shape(flux_save)[1] - 1] = env_name\n",
+    "        # sim_fluxes.to_csv(rf'out/new_env_analysis/{env_name}/sim_fluxes.csv')\n",
+    "\n",
+    "        # sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
+    "        # sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
+    "        # sim_catalysts.to_csv(rf'out/new_env_analysis/{env_name}/sim_catalysts.csv')\n",
+    "\n",
+    "    except FileNotFoundError:\n",
+    "        pass"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-22T00:03:51.728895Z",
+     "start_time": "2023-07-21T23:58:22.576240Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                                            24  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.  20133261.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...  20101063.0   \n",
+      "TRANS-RXN-106                                       20033460.0   \n",
+      "TRANS-RXN-145                                       10477226.0   \n",
+      "ATPSYN-RXN (reverse)                                 9599983.0   \n",
+      "...                                                        ...   \n",
+      "RXN-21538                                                  0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.          0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.          0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.          0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                         0.0   \n",
+      "\n",
+      "                                                    Ribose_C-source  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.              0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...              0.0   \n",
+      "TRANS-RXN-106                                                   0.0   \n",
+      "TRANS-RXN-145                                             8015937.0   \n",
+      "ATPSYN-RXN (reverse)                                      9297156.0   \n",
+      "...                                                             ...   \n",
+      "RXN-21538                                                       0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.               0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.               0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.               0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                              0.0   \n",
+      "\n",
+      "                                                    Thiamine_salvaging  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                 0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                 0.0   \n",
+      "TRANS-RXN-106                                                      0.0   \n",
+      "TRANS-RXN-145                                                8324110.0   \n",
+      "ATPSYN-RXN (reverse)                                         8169185.0   \n",
+      "...                                                                ...   \n",
+      "RXN-21538                                                          0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                  0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                  0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                  0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                 0.0   \n",
+      "\n",
+      "                                                    Nitrate_as_reduction_target  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                          0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                          0.0   \n",
+      "TRANS-RXN-106                                                               0.0   \n",
+      "TRANS-RXN-145                                                        10998642.0   \n",
+      "ATPSYN-RXN (reverse)                                                  5990960.0   \n",
+      "...                                                                         ...   \n",
+      "RXN-21538                                                                   0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                           0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                           0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                           0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                          0.0   \n",
+      "\n",
+      "                                                    3-Phenylpropionate_as_carbon_and_energy_source  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                             0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                             0.0   \n",
+      "TRANS-RXN-106                                                                                  0.0   \n",
+      "TRANS-RXN-145                                                                            9889185.0   \n",
+      "ATPSYN-RXN (reverse)                                                                     8960501.0   \n",
+      "...                                                                                            ...   \n",
+      "RXN-21538                                                                                      0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                              0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                              0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                              0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                             0.0   \n",
+      "\n",
+      "                                                    Molybdenum_cofactor_synthesis  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                            0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                            0.0   \n",
+      "TRANS-RXN-106                                                                 0.0   \n",
+      "TRANS-RXN-145                                                           8323394.0   \n",
+      "ATPSYN-RXN (reverse)                                                    8169812.0   \n",
+      "...                                                                           ...   \n",
+      "RXN-21538                                                                     0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                             0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                             0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                             0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                            0.0   \n",
+      "\n",
+      "                                                    Pre-Quenosine_synthesis  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                      0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                      0.0   \n",
+      "TRANS-RXN-106                                                           0.0   \n",
+      "TRANS-RXN-145                                                     8323394.0   \n",
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+      "...                                                                     ...   \n",
+      "RXN-21538                                                               0.0   \n",
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+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                       0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                      0.0   \n",
+      "\n",
+      "                                                    Acetate_Transport_+_Metabolism  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                             0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                             0.0   \n",
+      "TRANS-RXN-106                                                                  0.0   \n",
+      "TRANS-RXN-145                                                            7603988.0   \n",
+      "ATPSYN-RXN (reverse)                                                    11773098.0   \n",
+      "...                                                                            ...   \n",
+      "RXN-21538                                                                      0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                              0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                              0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                              0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                             0.0   \n",
+      "\n",
+      "                                                    Adenine_Transport  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                0.0   \n",
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+      "TRANS-RXN-145                                               8701512.0   \n",
+      "ATPSYN-RXN (reverse)                                        7708608.0   \n",
+      "...                                                               ...   \n",
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+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                 0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                0.0   \n",
+      "\n",
+      "                                                    Pts_Rare_Carbon  ...  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.              0.0  ...   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...              0.0  ...   \n",
+      "TRANS-RXN-106                                                   0.0  ...   \n",
+      "TRANS-RXN-145                                             8852904.0  ...   \n",
+      "ATPSYN-RXN (reverse)                                      8169812.0  ...   \n",
+      "...                                                             ...  ...   \n",
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+      "RXN0-7200-NMNH//NMNH.11. (reverse)                              0.0  ...   \n",
+      "\n",
+      "                                                    Putative_Symport_of_NA+_and_Ascorbate_Catabolism_Intermediate  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                                0.0               \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                                0.0               \n",
+      "TRANS-RXN-106                                                                                     0.0               \n",
+      "TRANS-RXN-145                                                                               7092158.0               \n",
+      "ATPSYN-RXN (reverse)                                                                        8665241.0               \n",
+      "...                                                                                               ...               \n",
+      "RXN-21538                                                                                         0.0               \n",
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+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                                 0.0               \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                                0.0               \n",
+      "\n",
+      "                                                    Plant_Cell_Wall_Component_Catabolism  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                   0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                   0.0   \n",
+      "TRANS-RXN-106                                                                        0.0   \n",
+      "TRANS-RXN-145                                                                  8370772.0   \n",
+      "ATPSYN-RXN (reverse)                                                           8169812.0   \n",
+      "...                                                                                  ...   \n",
+      "RXN-21538                                                                            0.0   \n",
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+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                    0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                   0.0   \n",
+      "\n",
+      "                                                    Periplasmic_Phosphatase_to_Import_G6P  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                    0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                    0.0   \n",
+      "TRANS-RXN-106                                                                         0.0   \n",
+      "TRANS-RXN-145                                                                   8323394.0   \n",
+      "ATPSYN-RXN (reverse)                                                            8169812.0   \n",
+      "...                                                                                   ...   \n",
+      "RXN-21538                                                                             0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                     0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                     0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                     0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                    0.0   \n",
+      "\n",
+      "                                                    Cell_Wall_Component_Biosynthesis  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                               0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                               0.0   \n",
+      "TRANS-RXN-106                                                                    0.0   \n",
+      "TRANS-RXN-145                                                              8323394.0   \n",
+      "ATPSYN-RXN (reverse)                                                       8169812.0   \n",
+      "...                                                                              ...   \n",
+      "RXN-21538                                                                        0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                               0.0   \n",
+      "\n",
+      "                                                    Galactose_Deg_Cell_Envelope_Biosynth  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                   0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                   0.0   \n",
+      "TRANS-RXN-106                                                                        0.0   \n",
+      "TRANS-RXN-145                                                                  8261704.0   \n",
+      "ATPSYN-RXN (reverse)                                                           8128685.0   \n",
+      "...                                                                                  ...   \n",
+      "RXN-21538                                                                            0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                    0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                   0.0   \n",
+      "\n",
+      "                                                    Outer_Membrane_Generic_Ion+Sugar_Transport_Lambda_Receptor  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                                0.0            \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                                0.0            \n",
+      "TRANS-RXN-106                                                                                     0.0            \n",
+      "TRANS-RXN-145                                                                               8962784.0            \n",
+      "ATPSYN-RXN (reverse)                                                                        7730212.0            \n",
+      "...                                                                                               ...            \n",
+      "RXN-21538                                                                                         0.0            \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0            \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                                 0.0            \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0            \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                                0.0            \n",
+      "\n",
+      "                                                    N-acetylglucosamine_degradation_I  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                0.0   \n",
+      "TRANS-RXN-106                                                                     0.0   \n",
+      "TRANS-RXN-145                                                               8323380.0   \n",
+      "ATPSYN-RXN (reverse)                                                        8169802.0   \n",
+      "...                                                                               ...   \n",
+      "RXN-21538                                                                         0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                 0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                 0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                 0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                0.0   \n",
+      "\n",
+      "                                                    putrescine_(ubiquitious_regulator)_biosynthesis  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                              0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                              0.0   \n",
+      "TRANS-RXN-106                                                                                   0.0   \n",
+      "TRANS-RXN-145                                                                             8463090.0   \n",
+      "ATPSYN-RXN (reverse)                                                                      8019231.0   \n",
+      "...                                                                                             ...   \n",
+      "RXN-21538                                                                                       0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                               0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                               0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                               0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                              0.0   \n",
+      "\n",
+      "                                                    anaerobic_growth_using_TMAO_as_acceptor  \\\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                      0.0   \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                      0.0   \n",
+      "TRANS-RXN-106                                                                           0.0   \n",
+      "TRANS-RXN-145                                                                    12883669.0   \n",
+      "ATPSYN-RXN (reverse)                                                              3024988.0   \n",
+      "...                                                                                     ...   \n",
+      "RXN-21538                                                                               0.0   \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                       0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                       0.0   \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                       0.0   \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                      0.0   \n",
+      "\n",
+      "                                                    gluconoride_transport_+_gluconoride_and_gluconorate_catabolism  \n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                                0.0               \n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                                0.0               \n",
+      "TRANS-RXN-106                                                                                     0.0               \n",
+      "TRANS-RXN-145                                                                               8323394.0               \n",
+      "ATPSYN-RXN (reverse)                                                                        8169812.0               \n",
+      "...                                                                                               ...               \n",
+      "RXN-21538                                                                                         0.0               \n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                                 0.0               \n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                                0.0               \n",
+      "\n",
+      "[7504 rows x 70 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(flux_save)\n",
+    "flux_save.to_csv(rf'out/new_env_analysis/overall_sim_fluxes.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-22T00:03:52.232913Z",
+     "start_time": "2023-07-22T00:03:51.692648Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Analysis on spreadsheet with all fluxes for all environments"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "overall_flux = pd.read_excel(\"ecoli/out/new_env_analysis/overall_sim_fluxes.xlsx\")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/ecoli/experiments/new_environments_test/new_environments_sim.py b/ecoli/experiments/new_environments_test/new_environments_sim.py
index 3a4ba1d5e..904524e26 100644
--- a/ecoli/experiments/new_environments_test/new_environments_sim.py
+++ b/ecoli/experiments/new_environments_test/new_environments_sim.py
@@ -114,7 +114,6 @@ def run_ecoli_with_metabolism_redux(
         sim.initial_state['environment']['exchange_data']['unconstrained'].add('AMMONIUM[p]')
         sim.initial_state['environment']['exchange_data']['unconstrained'].remove('AMMONIUM[c]')
 
-
         for mol in to_add:
             sim.initial_state['environment']['exchange_data']['unconstrained'].add(mol)
 

From bcc55bd1dfbdb6ed328369eb54b7efd1683cdea2 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 28 Jul 2023 10:23:25 -0700
Subject: [PATCH 44/58] Added tree visualization of metabolites in analysis
 notebook

---
 .../actual_sim_analysis.ipynb                 | 716 +++++++++++-------
 1 file changed, 435 insertions(+), 281 deletions(-)

diff --git a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
index dd37551ae..40fcccb2c 100644
--- a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
+++ b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
@@ -1,13 +1,22 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Need to install lxml"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 92,
    "id": "8022bfb4-c69b-4cb7-a24c-fec017cc3661",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-07-21T23:58:22.589016Z",
-     "start_time": "2023-07-21T23:58:22.548108Z"
+     "end_time": "2023-07-27T17:15:52.197541Z",
+     "start_time": "2023-07-27T17:15:52.188326Z"
     }
    },
    "outputs": [],
@@ -22,15 +31,14 @@
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import dill\n",
-    "import requests\n",
     "import xmltodict\n",
     "import os\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
     "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
     "\n",
     "\n",
-    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]\n",
-    "\n",
-    "sns.set(style='darkgrid', palette='viridis', context='talk')\n"
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
    ]
   },
   {
@@ -47,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 49,
    "outputs": [],
    "source": [
     "flux_save = pd.DataFrame()\n",
@@ -95,9 +103,8 @@
     "        else:\n",
     "            new_col = sim_fluxes.iloc[:,0].to_frame()\n",
     "            flux_save[env_name] = new_col\n",
-    "            # flux_save[0, np.shape(flux_save)[1] - 1] = env_name\n",
     "        # sim_fluxes.to_csv(rf'out/new_env_analysis/{env_name}/sim_fluxes.csv')\n",
-    "\n",
+    "        #\n",
     "        # sim_catalysts = pd.DataFrame(fba[\"reaction_catalyst_counts\"], columns=metabolism.reaction_names)\n",
     "        # sim_catalysts = pd.DataFrame(sim_catalysts.loc[4, :].abs().sort_values(ascending=False))\n",
     "        # sim_catalysts.to_csv(rf'out/new_env_analysis/{env_name}/sim_catalysts.csv')\n",
@@ -108,299 +115,210 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-22T00:03:51.728895Z",
-     "start_time": "2023-07-21T23:58:22.576240Z"
+     "end_time": "2023-07-24T22:28:49.970745Z",
+     "start_time": "2023-07-24T22:24:35.275845Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(flux_save)\n",
+    "flux_save.to_csv(rf'out/new_env_analysis/overall_sim_fluxes.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-24T22:28:50.400495Z",
+     "start_time": "2023-07-24T22:28:49.973553Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Analysis on spreadsheet with all fluxes for all environments"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "outputs": [],
+   "source": [
+    "overall_flux = pd.read_excel(\"out/new_env_analysis/overall_sim_fluxes.xlsx\")\n",
+    "# print(overall_flux.head())"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-27T18:58:24.157493Z",
+     "start_time": "2023-07-27T18:58:13.572628Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 97,
+   "outputs": [],
+   "source": [
+    "array = overall_flux.to_numpy()\n",
+    "\n",
+    "for row in array:\n",
+    "    for i in range(len(row)):\n",
+    "        if i == 0 or i == len(row) - 1:\n",
+    "            continue\n",
+    "        else:\n",
+    "            row[i] = (row[i] - row[len(row) - 1])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-27T19:01:32.932860Z",
+     "start_time": "2023-07-27T19:01:32.215674Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "outputs": [],
+   "source": [
+    "data = array[:,1:]\n",
+    "\n",
+    "reactions = list(array[:,0])\n",
+    "environments = list(overall_flux.columns)[1:]\n",
+    "\n",
+    "heatmap_df = pd.DataFrame(data, index=reactions, columns=environments)\n",
+    "for env in environments:\n",
+    "    heatmap_df[env] = heatmap_df[env].astype(float)\n",
+    "\n",
+    "heatmap_df.to_csv(rf'out/new_env_analysis/absolute_heatmap.csv')\n",
+    "\n",
+    "# heatmap_df = pd.read_excel(\"out/new_env_analysis/absolute_heatmap.xlsx\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-27T19:01:47.214970Z",
+     "start_time": "2023-07-27T19:01:45.693285Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "outputs": [],
+   "source": [
+    "# plt.figure(figsize=(125, 125))\n",
+    "# sns.set(font_scale=0.5)\n",
+    "#\n",
+    "# svm = sns.heatmap(heatmap_df, annot=True, fmt=\".2f\", linewidths=.5, cmap=\"YlGnBu\")\n",
+    "#\n",
+    "# plt.xlabel(\"Environment\")\n",
+    "# plt.ylabel(\"Reaction\")\n",
+    "# figure = svm.get_figure()\n",
+    "# figure.savefig('out/new_env_analysis/heatmap.png', dpi=400)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-24T22:29:04.877183Z",
+     "start_time": "2023-07-24T22:29:04.823865Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-26T17:20:58.359195Z",
+     "start_time": "2023-07-26T17:20:57.655880Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                                                            24  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.  20133261.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...  20101063.0   \n",
-      "TRANS-RXN-106                                       20033460.0   \n",
-      "TRANS-RXN-145                                       10477226.0   \n",
-      "ATPSYN-RXN (reverse)                                 9599983.0   \n",
-      "...                                                        ...   \n",
-      "RXN-21538                                                  0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.          0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.          0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.          0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                         0.0   \n",
-      "\n",
-      "                                                    Ribose_C-source  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.              0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...              0.0   \n",
-      "TRANS-RXN-106                                                   0.0   \n",
-      "TRANS-RXN-145                                             8015937.0   \n",
-      "ATPSYN-RXN (reverse)                                      9297156.0   \n",
-      "...                                                             ...   \n",
-      "RXN-21538                                                       0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.               0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.               0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.               0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                              0.0   \n",
-      "\n",
-      "                                                    Thiamine_salvaging  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                 0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                 0.0   \n",
-      "TRANS-RXN-106                                                      0.0   \n",
-      "TRANS-RXN-145                                                8324110.0   \n",
-      "ATPSYN-RXN (reverse)                                         8169185.0   \n",
-      "...                                                                ...   \n",
-      "RXN-21538                                                          0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                  0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                  0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                  0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                 0.0   \n",
-      "\n",
-      "                                                    Nitrate_as_reduction_target  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                          0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                          0.0   \n",
-      "TRANS-RXN-106                                                               0.0   \n",
-      "TRANS-RXN-145                                                        10998642.0   \n",
-      "ATPSYN-RXN (reverse)                                                  5990960.0   \n",
-      "...                                                                         ...   \n",
-      "RXN-21538                                                                   0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                           0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                           0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                           0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                          0.0   \n",
-      "\n",
-      "                                                    3-Phenylpropionate_as_carbon_and_energy_source  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                             0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                             0.0   \n",
-      "TRANS-RXN-106                                                                                  0.0   \n",
-      "TRANS-RXN-145                                                                            9889185.0   \n",
-      "ATPSYN-RXN (reverse)                                                                     8960501.0   \n",
-      "...                                                                                            ...   \n",
-      "RXN-21538                                                                                      0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                              0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                              0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                              0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                             0.0   \n",
-      "\n",
-      "                                                    Molybdenum_cofactor_synthesis  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                            0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                            0.0   \n",
-      "TRANS-RXN-106                                                                 0.0   \n",
-      "TRANS-RXN-145                                                           8323394.0   \n",
-      "ATPSYN-RXN (reverse)                                                    8169812.0   \n",
-      "...                                                                           ...   \n",
-      "RXN-21538                                                                     0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                             0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                             0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                             0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                            0.0   \n",
-      "\n",
-      "                                                    Pre-Quenosine_synthesis  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                      0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                      0.0   \n",
-      "TRANS-RXN-106                                                           0.0   \n",
-      "TRANS-RXN-145                                                     8323394.0   \n",
-      "ATPSYN-RXN (reverse)                                              8169812.0   \n",
-      "...                                                                     ...   \n",
-      "RXN-21538                                                               0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                       0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                       0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                       0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                      0.0   \n",
-      "\n",
-      "                                                    Acetate_Transport_+_Metabolism  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                             0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                             0.0   \n",
-      "TRANS-RXN-106                                                                  0.0   \n",
-      "TRANS-RXN-145                                                            7603988.0   \n",
-      "ATPSYN-RXN (reverse)                                                    11773098.0   \n",
-      "...                                                                            ...   \n",
-      "RXN-21538                                                                      0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                              0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                              0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                              0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                             0.0   \n",
-      "\n",
-      "                                                    Adenine_Transport  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                0.0   \n",
-      "TRANS-RXN-106                                                     0.0   \n",
-      "TRANS-RXN-145                                               8701512.0   \n",
-      "ATPSYN-RXN (reverse)                                        7708608.0   \n",
-      "...                                                               ...   \n",
-      "RXN-21538                                                         0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                 0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                 0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                 0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                0.0   \n",
-      "\n",
-      "                                                    Pts_Rare_Carbon  ...  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.              0.0  ...   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...              0.0  ...   \n",
-      "TRANS-RXN-106                                                   0.0  ...   \n",
-      "TRANS-RXN-145                                             8852904.0  ...   \n",
-      "ATPSYN-RXN (reverse)                                      8169812.0  ...   \n",
-      "...                                                             ...  ...   \n",
-      "RXN-21538                                                       0.0  ...   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.               0.0  ...   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.               0.0  ...   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.               0.0  ...   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                              0.0  ...   \n",
-      "\n",
-      "                                                    Putative_Symport_of_NA+_and_Ascorbate_Catabolism_Intermediate  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                                0.0               \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                                0.0               \n",
-      "TRANS-RXN-106                                                                                     0.0               \n",
-      "TRANS-RXN-145                                                                               7092158.0               \n",
-      "ATPSYN-RXN (reverse)                                                                        8665241.0               \n",
-      "...                                                                                               ...               \n",
-      "RXN-21538                                                                                         0.0               \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                                 0.0               \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                                0.0               \n",
-      "\n",
-      "                                                    Plant_Cell_Wall_Component_Catabolism  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                   0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                   0.0   \n",
-      "TRANS-RXN-106                                                                        0.0   \n",
-      "TRANS-RXN-145                                                                  8370772.0   \n",
-      "ATPSYN-RXN (reverse)                                                           8169812.0   \n",
-      "...                                                                                  ...   \n",
-      "RXN-21538                                                                            0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                    0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                   0.0   \n",
-      "\n",
-      "                                                    Periplasmic_Phosphatase_to_Import_G6P  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                    0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                    0.0   \n",
-      "TRANS-RXN-106                                                                         0.0   \n",
-      "TRANS-RXN-145                                                                   8323394.0   \n",
-      "ATPSYN-RXN (reverse)                                                            8169812.0   \n",
-      "...                                                                                   ...   \n",
-      "RXN-21538                                                                             0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                     0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                     0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                     0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                    0.0   \n",
-      "\n",
-      "                                                    Cell_Wall_Component_Biosynthesis  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                               0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                               0.0   \n",
-      "TRANS-RXN-106                                                                    0.0   \n",
-      "TRANS-RXN-145                                                              8323394.0   \n",
-      "ATPSYN-RXN (reverse)                                                       8169812.0   \n",
-      "...                                                                              ...   \n",
-      "RXN-21538                                                                        0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                               0.0   \n",
-      "\n",
-      "                                                    Galactose_Deg_Cell_Envelope_Biosynth  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                   0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                   0.0   \n",
-      "TRANS-RXN-106                                                                        0.0   \n",
-      "TRANS-RXN-145                                                                  8261704.0   \n",
-      "ATPSYN-RXN (reverse)                                                           8128685.0   \n",
-      "...                                                                                  ...   \n",
-      "RXN-21538                                                                            0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                    0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                    0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                   0.0   \n",
-      "\n",
-      "                                                    Outer_Membrane_Generic_Ion+Sugar_Transport_Lambda_Receptor  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                                0.0            \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                                0.0            \n",
-      "TRANS-RXN-106                                                                                     0.0            \n",
-      "TRANS-RXN-145                                                                               8962784.0            \n",
-      "ATPSYN-RXN (reverse)                                                                        7730212.0            \n",
-      "...                                                                                               ...            \n",
-      "RXN-21538                                                                                         0.0            \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0            \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                                 0.0            \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0            \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                                0.0            \n",
-      "\n",
-      "                                                    N-acetylglucosamine_degradation_I  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                0.0   \n",
-      "TRANS-RXN-106                                                                     0.0   \n",
-      "TRANS-RXN-145                                                               8323380.0   \n",
-      "ATPSYN-RXN (reverse)                                                        8169802.0   \n",
-      "...                                                                               ...   \n",
-      "RXN-21538                                                                         0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                 0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                 0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                 0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                0.0   \n",
-      "\n",
-      "                                                    putrescine_(ubiquitious_regulator)_biosynthesis  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                              0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                              0.0   \n",
-      "TRANS-RXN-106                                                                                   0.0   \n",
-      "TRANS-RXN-145                                                                             8463090.0   \n",
-      "ATPSYN-RXN (reverse)                                                                      8019231.0   \n",
-      "...                                                                                             ...   \n",
-      "RXN-21538                                                                                       0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                               0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                               0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                               0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                              0.0   \n",
-      "\n",
-      "                                                    anaerobic_growth_using_TMAO_as_acceptor  \\\n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                      0.0   \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                      0.0   \n",
-      "TRANS-RXN-106                                                                           0.0   \n",
-      "TRANS-RXN-145                                                                    12883669.0   \n",
-      "ATPSYN-RXN (reverse)                                                              3024988.0   \n",
-      "...                                                                                     ...   \n",
-      "RXN-21538                                                                               0.0   \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                       0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                       0.0   \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                       0.0   \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                      0.0   \n",
-      "\n",
-      "                                                    gluconoride_transport_+_gluconoride_and_gluconorate_catabolism  \n",
-      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.                                                0.0               \n",
-      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...                                                0.0               \n",
-      "TRANS-RXN-106                                                                                     0.0               \n",
-      "TRANS-RXN-145                                                                               8323394.0               \n",
-      "ATPSYN-RXN (reverse)                                                                        8169812.0               \n",
-      "...                                                                                               ...               \n",
-      "RXN-21538                                                                                         0.0               \n",
-      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.                                                 0.0               \n",
-      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.                                                 0.0               \n",
-      "RXN0-7200-NMNH//NMNH.11. (reverse)                                                                0.0               \n",
-      "\n",
-      "[7504 rows x 70 columns]\n"
+      "['BRANCHED-CHAINAMINOTRANSFERLEU-RXN (reverse)', 'BRANCHED-CHAINAMINOTRANSFERLEU-RXN__BRANCHED-CHAINAMINOTRANSFER-CPLX', 'BRANCHED-CHAINAMINOTRANSFERLEU-RXN']\n",
+      "KeyError\n",
+      "KeyError\n",
+      "KeyError\n",
+      "[]\n",
+      "[]\n",
+      "[]\n",
+      "['TRANS-RXN-126B']\n",
+      "KeyError\n",
+      "['TRANS-RXN0-270']\n",
+      "KeyError\n",
+      "['RXN0-6979']\n",
+      "KeyError\n",
+      "['ABC-35-RXN']\n",
+      "KeyError\n"
      ]
     }
    ],
    "source": [
-    "df = pd.DataFrame(flux_save)\n",
-    "flux_save.to_csv(rf'out/new_env_analysis/overall_sim_fluxes.csv')"
+    "function = \"reactions-of-compound\"\n",
+    "name = \"LEU\"\n",
+    "env = \"Hydrogen_fumarate_-O2_Glc\"\n",
+    "req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{name}&detail=none&fmt=json\"\n",
+    "\n",
+    "r = s.get(req_str)\n",
+    "o = xmltodict.parse(r.content)['ptools-xml']['Reaction']\n",
+    "if type(o) is dict:\n",
+    "    o = [o]\n",
+    "for rxn in o:\n",
+    "    if type(rxn) is not str:\n",
+    "        to_check = []\n",
+    "        for reaction in reactions:\n",
+    "            if rxn['@frameid'] in reaction:\n",
+    "                to_check.append(reaction)\n",
+    "        for reaction in to_check:\n",
+    "            try:\n",
+    "                if heatmap_df.loc[reaction, env] != 0:\n",
+    "                    print(str(heatmap_df.loc[reaction, env]) + f\" {reaction}\")\n",
+    "            except KeyError:\n",
+    "                print(\"KeyError\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-22T00:03:52.232913Z",
-     "start_time": "2023-07-22T00:03:51.692648Z"
+     "end_time": "2023-07-25T22:14:08.830750Z",
+     "start_time": "2023-07-25T22:14:08.730099Z"
     }
    }
   },
   {
    "cell_type": "markdown",
    "source": [
-    "## Analysis on spreadsheet with all fluxes for all environments"
+    "## Tool to create graphs of upstream metabolites"
    ],
    "metadata": {
     "collapsed": false
@@ -408,11 +326,247 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 94,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-07-21'\n",
+    "experiment = 'fba_new_environments'\n",
+    "env_name = 'Hydrogen_fumarate_-O2_Glc'\n",
+    "entry = f'{experiment}_{env_name}_{time}_{date}'\n",
+    "folder = f'out/fba_new_env/{entry}/'\n",
+    "\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "\n",
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])\n",
+    "\n",
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "reaction_catalysts = metabolism.parameters['reaction_catalysts']\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-27T17:17:50.480718Z",
+     "start_time": "2023-07-27T17:17:44.659483Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "outputs": [],
+   "source": [
+    "class Node:\n",
+    "    def __init__(self, val, order):\n",
+    "        self.val = val\n",
+    "        self.nodes = []\n",
+    "        self.order = order\n",
+    "\n",
+    "    def add_node(self, val, order):\n",
+    "        self.nodes.append(Node(val, order))\n",
+    "\n",
+    "    def __repr__(self, level=0):\n",
+    "        ret = \"\\t\"*level+repr(self.val)+\"\\n\"\n",
+    "        for child in self.nodes:\n",
+    "            ret += child.__repr__(level+1)\n",
+    "        return ret"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-26T18:47:24.200051Z",
+     "start_time": "2023-07-26T18:47:24.173216Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
    "outputs": [],
    "source": [
-    "overall_flux = pd.read_excel(\"ecoli/out/new_env_analysis/overall_sim_fluxes.xlsx\")"
+    "index_to_met = {v: k for k, v in metabolites_idx.items()}\n",
+    "met_length = len(metabolism.metabolite_names)\n",
+    "reaction_length = np.shape(stoichiometry)[1]\n",
+    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\"]\n",
+    "do_not_include = []\n",
+    "\n",
+    "for met in met_not_include:\n",
+    "    do_not_include.append(metabolites_idx[met])\n",
+    "\n",
+    "def find_upstream_metabolites(metabolite):\n",
+    "    to_return = []\n",
+    "    index = metabolites_idx[metabolite]\n",
+    "    for k in range(reaction_length):\n",
+    "        if stoichiometry[index, k] > 0:\n",
+    "            for l in range(met_length):\n",
+    "                if stoichiometry[l, k] < 0:\n",
+    "                    if l != index and l not in do_not_include and index_to_met[l] not in to_return:\n",
+    "                        to_return.append(index_to_met[l])\n",
+    "    return to_return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-26T18:57:12.910710Z",
+     "start_time": "2023-07-26T18:57:12.902344Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "'LEU[c]'\n",
+      "\t'LEU[p]'\n",
+      "\t\t'LEU[c]'\n",
+      "\t\t'LEU[e]'\n",
+      "\t'2K-4CH3-PENTANOATE[c]'\n",
+      "\t\t'2-KETOGLUTARATE[c]'\n",
+      "\t\t'LEU[c]'\n",
+      "\t\t'2-D-THREO-HYDROXY-3-CARBOXY-ISOCAPROATE[c]'\n",
+      "\t\t'NAD[c]'\n",
+      "\t\t'CPD-7100[c]'\n",
+      "\t\t'PROTON[c]'\n",
+      "\t'GLT[c]'\n",
+      "\t\t'2-KETOGLUTARATE[c]'\n",
+      "\t\t'Aromatic-Amino-Acids[c]'\n",
+      "\t\t'PUTRESCINE[c]'\n",
+      "\t\t'5-OXOPROLINE[c]'\n",
+      "\t\t'GLT[p]'\n",
+      "\t\t'L-ALPHA-ALANINE[c]'\n",
+      "\t\t'CHORISMATE[c]'\n",
+      "\t\t'GLN[c]'\n",
+      "\t\t'L-ASPARTATE[c]'\n",
+      "\t\t'ILE[c]'\n",
+      "\t\t'LEU[c]'\n",
+      "\t\t'VAL[c]'\n",
+      "\t\t'HCO3[c]'\n",
+      "\t\t'UTP[c]'\n",
+      "\t\t'CYS[c]'\n",
+      "\t\t'5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[c]'\n",
+      "\t\t'4-AMINO-BUTYRATE[c]'\n",
+      "\t\t'NADPH[c]'\n",
+      "\t\t'PROTON[c]'\n",
+      "\t\t'PHOSPHORIBULOSYL-FORMIMINO-AICAR-P[c]'\n",
+      "\t\t'AMMONIUM[c]'\n",
+      "\t\t'D-GLT[c]'\n",
+      "\t\t'XANTHOSINE-5-PHOSPHATE[c]'\n",
+      "\t\t'L-HISTIDINOL-P[c]'\n",
+      "\t\t'FRUCTOSE-6P[c]'\n",
+      "\t\t'ACETYL-GLU[c]'\n",
+      "\t\t'CO-A[c]'\n",
+      "\t\t'DEAMIDO-NAD[c]'\n",
+      "\t\t'PRPP[c]'\n",
+      "\t\t'3-P-SERINE[c]'\n",
+      "\t\t'4-PHOSPHONOOXY-THREONINE[c]'\n",
+      "\t\t'L-DELTA1-PYRROLINE_5-CARBOXYLATE[c]'\n",
+      "\t\t'NAD[c]'\n",
+      "\t\t'MET[c]'\n",
+      "\t\t'PHE[c]'\n",
+      "\t\t'L-GLUTAMATE_GAMMA-SEMIALDEHYDE[c]'\n",
+      "\t\t'CPD-14736[c]'\n",
+      "\t\t'UDP-4-AMINO-4-DEOXY-L-ARABINOSE[c]'\n",
+      "\t\t'CPD-9000[c]'\n",
+      "\t\t'CPD0-889[c]'\n",
+      "\t\t'CPD0-1445[c]'\n",
+      "\t\t'CPD-3569[c]'\n",
+      "\t\t'N2-SUCCINYLGLUTAMATE[c]'\n",
+      "\t\t'N2-SUCCINYLORNITHINE[c]'\n",
+      "\t\t'NA+[p]'\n",
+      "\t\t'TYR[c]'\n",
+      "\t\t'5-AMINOPENTANOATE[c]'\n",
+      "\t'CPD-13398[c]'\n",
+      "\t\t'CPD-13398[p]'\n",
+      "\t'NA+[p]'\n",
+      "\t\t'NA+[c]'\n",
+      "\t\t'NA+[e]'\n",
+      "\n"
+     ]
+    }
    ],
+   "source": [
+    "metabolite = \"LEU[c]\"\n",
+    "\n",
+    "root = Node(metabolite, 0)\n",
+    "for i in range(2):\n",
+    "    if i == 0:\n",
+    "        for met in find_upstream_metabolites(metabolite):\n",
+    "            root.add_node(met, 1)\n",
+    "    else:\n",
+    "        for j in range(len(root.nodes)):\n",
+    "            for met in find_upstream_metabolites(root.nodes[j].val):\n",
+    "                if met not in root.nodes[j].nodes:\n",
+    "                    root.nodes[j].add_node(met, 2)\n",
+    "\n",
+    "print(root)\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-26T23:14:41.070621Z",
+     "start_time": "2023-07-26T23:14:38.876655Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                                            24\n",
+      "R601-RXN-FUM/REDUCED-MENAQUINONE//SUC/CPD-9728.38.  20133261.0\n",
+      "RXN0-5256-CPD-9728/PROTON/HYDROGEN-MOLECULE//RE...  20101063.0\n",
+      "TRANS-RXN-106                                       20033460.0\n",
+      "TRANS-RXN-145                                       10477226.0\n",
+      "ATPSYN-RXN (reverse)                                 9599983.0\n",
+      "...                                                        ...\n",
+      "RXN-21538                                                  0.0\n",
+      "RXN-21533-CPD-23688/ATP//CPD-23428/ADP/PROTON.36.          0.0\n",
+      "RXN-21533-CPD-23431/ATP//CPD-23690/ADP/PROTON.36.          0.0\n",
+      "RXN-21533-CPD-23431/ATP//CPD-23428/ADP/PROTON.36.          0.0\n",
+      "RXN0-7200-NMNH//NMNH.11. (reverse)                         0.0\n",
+      "\n",
+      "[7504 rows x 1 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(sim_fluxes)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-07-27T17:17:53.121382Z",
+     "start_time": "2023-07-27T17:17:53.109559Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
    "metadata": {
     "collapsed": false
    }

From 62abf0872102f4d71094cab6ecc9cf193daa4cf8 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 28 Jul 2023 10:23:55 -0700
Subject: [PATCH 45/58] Added pull request test to new_environments_sim.py

---
 ecoli/experiments/metabolism_redux_sim.py     |   2 +-
 .../new_environments_test/done.xlsx           | Bin 17116 -> 17135 bytes
 .../new_environments_test/env_temp.xlsx       | Bin 11805 -> 0 bytes
 .../new_environments_test/new_env.xlsx        | Bin 13757 -> 12054 bytes
 .../new_environments_sim.py                   |  41 +++++++++++++-----
 notebooks/new_environments/new_genes.xlsx     | Bin 19175 -> 19282 bytes
 6 files changed, 32 insertions(+), 11 deletions(-)
 delete mode 100644 ecoli/experiments/new_environments_test/env_temp.xlsx

diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index 4275b3bbe..448b275ea 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -222,7 +222,7 @@ def test_ecoli_with_metabolism_redux_div(
     output = sim.query(query)
 
     # test that water is being used (model is running)
-    assert sum(output['agents'][agent]['listeners']['fba_results']['estimated_exchange_dmdt']['WATER[p]']) != 0
+    assert sum(output['agents'][agent]['listeners']['fba_results']['estimated_fluxes']['WATER[p]']) != 0
 
 def run_ecoli_with_default_metabolism(
         filename='default',
diff --git a/ecoli/experiments/new_environments_test/done.xlsx b/ecoli/experiments/new_environments_test/done.xlsx
index 6b94570fd527c390db148b6d151e183c83936da2..a34ba1b4741379b1c3fce7f1808997b40de51573 100644
GIT binary patch
delta 6688
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diff --git a/ecoli/experiments/new_environments_test/new_env.xlsx b/ecoli/experiments/new_environments_test/new_env.xlsx
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diff --git a/ecoli/experiments/new_environments_test/new_environments_sim.py b/ecoli/experiments/new_environments_test/new_environments_sim.py
index 904524e26..3e4fa3d28 100644
--- a/ecoli/experiments/new_environments_test/new_environments_sim.py
+++ b/ecoli/experiments/new_environments_test/new_environments_sim.py
@@ -130,13 +130,17 @@ def run_ecoli_with_metabolism_redux(
         except ValueError:
             pass
 @pytest.mark.slow
-def test_ecoli_with_metabolism_redux(
-        filename='fba_redux',
+def test_new_environments(
+        filename='fba_new_environments',
         total_time=4,
-        divide=False,
+        divide=True,
+        initial_state_file='wcecoli_t0',
         progress_bar=True,
         log_updates=False,
         emitter='timeseries',
+        name='fba_new_environments',
+        raw_output=False,
+        save=False,
 ):
     sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
     sim.total_time = total_time
@@ -144,19 +148,36 @@ def test_ecoli_with_metabolism_redux(
     sim.progress_bar = progress_bar
     sim.log_updates = log_updates
     sim.emitter = emitter
-    sim.build_ecoli()
+    sim.initial_state = get_state_from_file(path=f'data/{initial_state_file}.json')
+    sim.raw_output = raw_output
+    sim.save = save
 
-    # run simulation and add asserts to output
+    sim.initial_state['environment']['exchange_data']['constrained'] = {}
+    sim.initial_state['environment']['exchange_data']['unconstrained'].add('AMMONIUM[p]')
+    sim.initial_state['environment']['exchange_data']['unconstrained'].add('ACET[p]')
+    sim.initial_state['environment']['exchange_data']['unconstrained'].remove('AMMONIUM[c]')
+
+    sim.build_ecoli()
     sim.run()
 
-    # assert 'ecoli-metabolism-gradient-descent' in sim.ecoli['processes']
-    # assert 'ecoli-metabolism' not in sim.ecoli['processes']
-    # assert 'ecoli-metabolism-gradient-descent' in sim.ecoli['topology']
-    # assert 'ecoli-metabolism' not in sim.ecoli['topology']
+    query = []
+    agents = sim.query()['agents'].keys()
+    for agent in agents:
+        query.extend([('agents', agent, 'listeners', 'fba_results'),
+                      ('agents', agent, 'listeners', 'mass'),
+                      ('agents', agent, 'bulk')])
+    output = sim.query(query)
+    metabolism = sim.ecoli['steps']['agents'][agent]['ecoli-metabolism-redux']
+
+    sim_fluxes = pd.DataFrame(output['agents']['0']['listeners']['fba_results']["estimated_fluxes"], columns=metabolism.reaction_names)
+    sim_fluxes = pd.DataFrame(sim_fluxes.loc[2, :].abs().sort_values(ascending=False))
+    print(sim_fluxes)
+    # test that acetate transport is occurring
+    assert sim_fluxes.loc['TRANS-RXN0-571'][2] > 0 or sim_fluxes.loc['RXN0-1981'][2] > 0, "New Environment - Acetate Not Transported"
 
 experiment_library = {
     '0': run_ecoli_with_metabolism_redux,
-    '1': test_ecoli_with_metabolism_redux,
+    '1': test_new_environments,
 }
 
 
diff --git a/notebooks/new_environments/new_genes.xlsx b/notebooks/new_environments/new_genes.xlsx
index 8cd47b04fac2b180fc4b5863e1a6d309aed164f5..258433331db03f1b650aeb9290cd8d6b6a4d8a08 100644
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From 7d40c08e5ede1c5d82eba73d686bc59dfcb6c3b2 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 28 Jul 2023 11:11:46 -0700
Subject: [PATCH 46/58] Added fba_new_environments.json

---
 .../ecoli_configs/fba_new_environments.json        | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 ecoli/composites/ecoli_configs/fba_new_environments.json

diff --git a/ecoli/composites/ecoli_configs/fba_new_environments.json b/ecoli/composites/ecoli_configs/fba_new_environments.json
new file mode 100644
index 000000000..db4e22ca9
--- /dev/null
+++ b/ecoli/composites/ecoli_configs/fba_new_environments.json
@@ -0,0 +1,14 @@
+{
+    "experiment_id" : "fba_redux",
+    "total_time" : 10,
+    "swap_processes" : {
+        "ecoli-metabolism" : "ecoli-metabolism-redux"
+    },
+    "flow": {
+        "ecoli-metabolism-redux": [["ecoli-chromosome-structure"]],
+        "ecoli-mass-listener": [["ecoli-metabolism-redux"]],
+        "mRNA_counts_listener": [["ecoli-mass-listener"]],
+        "monomer_counts_listener": [["mRNA_counts_listener"]]
+    },
+    "raw_output" : false
+}

From 8f0d9418b56cbb3516e3d07db858db57b692a9a9 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 31 Jul 2023 09:40:41 -0700
Subject: [PATCH 47/58] Added failing test that tests division (not working
 correctly)

---
 data/vivecoli_t800.json                           | 1 +
 ecoli/composites/ecoli_configs/fba_redux_div.json | 4 ++--
 ecoli/experiments/metabolism_redux_sim.py         | 6 +++++-
 3 files changed, 8 insertions(+), 3 deletions(-)
 create mode 100644 data/vivecoli_t800.json

diff --git a/data/vivecoli_t800.json b/data/vivecoli_t800.json
new file mode 100644
index 000000000..4d26a9ac5
--- /dev/null
+++ b/data/vivecoli_t800.json
@@ -0,0 +1 @@
+{"global_time": 4800, "bulk": [["--TRANS-ACENAPHTHENE-12-DIOL[j]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[c]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[e]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[s]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[m]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[o]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[p]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[l]", 0], ["--TRANS-ACENAPHTHENE-12-DIOL[i]", 0], ["1-5-Galactofuran[j]", 0], ["1-5-Galactofuran[c]", 0], ["1-5-Galactofuran[e]", 0], ["1-5-Galactofuran[s]", 0], ["1-5-Galactofuran[m]", 0], ["1-5-Galactofuran[o]", 0], ["1-5-Galactofuran[p]", 0], ["1-5-Galactofuran[l]", 0], ["1-5-Galactofuran[i]", 0], ["1-6-Galactofuran[j]", 0], ["1-6-Galactofuran[c]", 0], ["1-6-Galactofuran[e]", 0], ["1-6-Galactofuran[s]", 0], ["1-6-Galactofuran[m]", 0], ["1-6-Galactofuran[o]", 0], ["1-6-Galactofuran[p]", 0], ["1-6-Galactofuran[l]", 0], ["1-6-Galactofuran[i]", 0], ["1-ACYLGLYCEROL-3-P-ACYLTRANSFER-MONOMER[i]", 392], ["1-AMINO-PROPAN-2-OL[j]", 0], 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0], ["5-OXOPROLINE[i]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[j]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[c]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[e]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[s]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[m]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[o]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[p]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[l]", 0], ["5-P-BETA-D-RIBOSYL-AMINE[i]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[j]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[c]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[e]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[s]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[m]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[o]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[p]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[l]", 0], ["5-P-NITROPHENYLTHIOADENOSINE[i]", 0], ["5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[j]", 0], ["5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[c]", 0], ["5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[e]", 0], ["5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[s]", 0], ["5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[m]", 0], ["5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[o]", 0], 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0], ["D-Fucoses[m]", 0], ["D-Fucoses[o]", 0], ["D-Fucoses[p]", 0], ["D-Fucoses[l]", 0], ["D-Fucoses[i]", 0], ["D-GALACTARATE[j]", 0], ["D-GALACTARATE[c]", 0], ["D-GALACTARATE[e]", 0], ["D-GALACTARATE[s]", 0], ["D-GALACTARATE[m]", 0], ["D-GALACTARATE[o]", 0], ["D-GALACTARATE[p]", 0], ["D-GALACTARATE[l]", 0], ["D-GALACTARATE[i]", 0], ["D-GALACTONATE[j]", 0], ["D-GALACTONATE[c]", 0], ["D-GALACTONATE[e]", 0], ["D-GALACTONATE[s]", 0], ["D-GALACTONATE[m]", 0], ["D-GALACTONATE[o]", 0], ["D-GALACTONATE[p]", 0], ["D-GALACTONATE[l]", 0], ["D-GALACTONATE[i]", 0], ["D-GALACTONO-1-4-LACTONE[j]", 0], ["D-GALACTONO-1-4-LACTONE[c]", 0], ["D-GALACTONO-1-4-LACTONE[e]", 0], ["D-GALACTONO-1-4-LACTONE[s]", 0], ["D-GALACTONO-1-4-LACTONE[m]", 0], ["D-GALACTONO-1-4-LACTONE[o]", 0], ["D-GALACTONO-1-4-LACTONE[p]", 0], ["D-GALACTONO-1-4-LACTONE[l]", 0], ["D-GALACTONO-1-4-LACTONE[i]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[j]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[c]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[e]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[s]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[m]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[o]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[p]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[l]", 0], ["D-GALACTOSAMINE-6-PHOSPHATE[i]", 0], ["D-GALACTOSYLAMINE[j]", 0], ["D-GALACTOSYLAMINE[c]", 0], ["D-GALACTOSYLAMINE[e]", 0], ["D-GALACTOSYLAMINE[s]", 0], ["D-GALACTOSYLAMINE[m]", 0], ["D-GALACTOSYLAMINE[o]", 0], ["D-GALACTOSYLAMINE[p]", 0], ["D-GALACTOSYLAMINE[l]", 0], ["D-GALACTOSYLAMINE[i]", 0], ["D-GALACTURONATE[j]", 0], ["D-GALACTURONATE[c]", 0], ["D-GALACTURONATE[e]", 0], ["D-GALACTURONATE[s]", 0], ["D-GALACTURONATE[m]", 0], ["D-GALACTURONATE[o]", 0], ["D-GALACTURONATE[p]", 0], ["D-GALACTURONATE[l]", 0], ["D-GALACTURONATE[i]", 0], ["D-GLT[j]", 0], ["D-GLT[c]", 0], ["D-GLT[e]", 0], ["D-GLT[s]", 0], ["D-GLT[m]", 0], ["D-GLT[o]", 0], ["D-GLT[p]", 0], ["D-GLT[l]", 0], ["D-GLT[i]", 0], ["D-GLUCARATE[j]", 0], ["D-GLUCARATE[c]", 0], ["D-GLUCARATE[e]", 0], ["D-GLUCARATE[s]", 0], ["D-GLUCARATE[m]", 0], ["D-GLUCARATE[o]", 0], ["D-GLUCARATE[p]", 0], ["D-GLUCARATE[l]", 0], ["D-GLUCARATE[i]", 0], ["D-GLUCOSAMINE-6-P[j]", 0], ["D-GLUCOSAMINE-6-P[c]", 0], ["D-GLUCOSAMINE-6-P[e]", 0], ["D-GLUCOSAMINE-6-P[s]", 0], ["D-GLUCOSAMINE-6-P[m]", 0], ["D-GLUCOSAMINE-6-P[o]", 0], ["D-GLUCOSAMINE-6-P[p]", 0], ["D-GLUCOSAMINE-6-P[l]", 0], ["D-GLUCOSAMINE-6-P[i]", 0], ["D-Galactopyranuronate[j]", 0], ["D-Galactopyranuronate[c]", 0], ["D-Galactopyranuronate[e]", 0], ["D-Galactopyranuronate[s]", 0], ["D-Galactopyranuronate[m]", 0], ["D-Galactopyranuronate[o]", 0], ["D-Galactopyranuronate[p]", 0], ["D-Galactopyranuronate[l]", 0], ["D-Galactopyranuronate[i]", 0], ["D-Galactose[j]", 0], ["D-Galactose[c]", 0], ["D-Galactose[e]", 0], ["D-Galactose[s]", 0], ["D-Galactose[m]", 0], ["D-Galactose[o]", 0], ["D-Galactose[p]", 0], ["D-Galactose[l]", 0], ["D-Galactose[i]", 0], ["D-Glucopyranuronate[j]", 0], ["D-Glucopyranuronate[c]", 0], ["D-Glucopyranuronate[e]", 0], ["D-Glucopyranuronate[s]", 0], ["D-Glucopyranuronate[m]", 0], ["D-Glucopyranuronate[o]", 0], ["D-Glucopyranuronate[p]", 0], ["D-Glucopyranuronate[l]", 0], ["D-Glucopyranuronate[i]", 0], ["D-Glucose[j]", 0], ["D-Glucose[c]", 0], ["D-Glucose[e]", 0], ["D-Glucose[s]", 0], ["D-Glucose[m]", 0], ["D-Glucose[o]", 0], ["D-Glucose[p]", 0], ["D-Glucose[l]", 0], ["D-Glucose[i]", 0], ["D-Iduronate[j]", 0], ["D-Iduronate[c]", 0], ["D-Iduronate[e]", 0], ["D-Iduronate[s]", 0], ["D-Iduronate[m]", 0], ["D-Iduronate[o]", 0], ["D-Iduronate[p]", 0], ["D-Iduronate[l]", 0], ["D-Iduronate[i]", 0], ["D-LACTATE[j]", 0], ["D-LACTATE[c]", 0], ["D-LACTATE[e]", 0], ["D-LACTATE[s]", 0], ["D-LACTATE[m]", 0], ["D-LACTATE[o]", 0], ["D-LACTATE[p]", 0], ["D-LACTATE[l]", 0], ["D-LACTATE[i]", 0], ["D-MANNONATE[j]", 0], ["D-MANNONATE[c]", 0], ["D-MANNONATE[e]", 0], ["D-MANNONATE[s]", 0], ["D-MANNONATE[m]", 0], ["D-MANNONATE[o]", 0], ["D-MANNONATE[p]", 0], ["D-MANNONATE[l]", 0], ["D-MANNONATE[i]", 0], ["D-METHYL-MALONYL-COA[j]", 0], ["D-METHYL-MALONYL-COA[c]", 0], ["D-METHYL-MALONYL-COA[e]", 0], ["D-METHYL-MALONYL-COA[s]", 0], ["D-METHYL-MALONYL-COA[m]", 0], ["D-METHYL-MALONYL-COA[o]", 0], ["D-METHYL-MALONYL-COA[p]", 0], ["D-METHYL-MALONYL-COA[l]", 0], ["D-METHYL-MALONYL-COA[i]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[j]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[c]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[e]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[s]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[m]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[o]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[p]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[l]", 0], ["D-MYO-INOSITOL-1-MONOPHOSPHATE[i]", 0], ["D-Mannopyranuronate[j]", 0], ["D-Mannopyranuronate[c]", 0], ["D-Mannopyranuronate[e]", 0], ["D-Mannopyranuronate[s]", 0], ["D-Mannopyranuronate[m]", 0], ["D-Mannopyranuronate[o]", 0], ["D-Mannopyranuronate[p]", 0], ["D-Mannopyranuronate[l]", 0], ["D-Mannopyranuronate[i]", 0], ["D-Mannosamines[j]", 0], ["D-Mannosamines[c]", 0], ["D-Mannosamines[e]", 0], ["D-Mannosamines[s]", 0], ["D-Mannosamines[m]", 0], ["D-Mannosamines[o]", 0], ["D-Mannosamines[p]", 0], ["D-Mannosamines[l]", 0], ["D-Mannosamines[i]", 0], ["D-Psicose[j]", 0], ["D-Psicose[c]", 0], ["D-Psicose[e]", 0], ["D-Psicose[s]", 0], ["D-Psicose[m]", 0], ["D-Psicose[o]", 0], ["D-Psicose[p]", 0], ["D-Psicose[l]", 0], ["D-Psicose[i]", 0], ["D-RIBULOSE[j]", 0], ["D-RIBULOSE[c]", 0], ["D-RIBULOSE[e]", 0], ["D-RIBULOSE[s]", 0], ["D-RIBULOSE[m]", 0], ["D-RIBULOSE[o]", 0], ["D-RIBULOSE[p]", 0], ["D-RIBULOSE[l]", 0], ["D-RIBULOSE[i]", 0], ["D-RIBULOSE-1-P[j]", 0], ["D-RIBULOSE-1-P[c]", 0], ["D-RIBULOSE-1-P[e]", 0], ["D-RIBULOSE-1-P[s]", 0], ["D-RIBULOSE-1-P[m]", 0], ["D-RIBULOSE-1-P[o]", 0], ["D-RIBULOSE-1-P[p]", 0], ["D-RIBULOSE-1-P[l]", 0], ["D-RIBULOSE-1-P[i]", 0], ["D-Ribofuranose[j]", 0], ["D-Ribofuranose[c]", 0], ["D-Ribofuranose[e]", 0], ["D-Ribofuranose[s]", 0], ["D-Ribofuranose[m]", 0], ["D-Ribofuranose[o]", 0], ["D-Ribofuranose[p]", 0], ["D-Ribofuranose[l]", 0], ["D-Ribofuranose[i]", 0], ["D-Ribopyranose[j]", 0], ["D-Ribopyranose[c]", 0], ["D-Ribopyranose[e]", 0], ["D-Ribopyranose[s]", 0], ["D-Ribopyranose[m]", 0], ["D-Ribopyranose[o]", 0], ["D-Ribopyranose[p]", 0], ["D-Ribopyranose[l]", 0], ["D-Ribopyranose[i]", 0], ["D-SEDOHEPTULOSE-1-7-P2[j]", 0], ["D-SEDOHEPTULOSE-1-7-P2[c]", 0], ["D-SEDOHEPTULOSE-1-7-P2[e]", 0], ["D-SEDOHEPTULOSE-1-7-P2[s]", 0], ["D-SEDOHEPTULOSE-1-7-P2[m]", 0], ["D-SEDOHEPTULOSE-1-7-P2[o]", 0], ["D-SEDOHEPTULOSE-1-7-P2[p]", 0], ["D-SEDOHEPTULOSE-1-7-P2[l]", 0], ["D-SEDOHEPTULOSE-1-7-P2[i]", 0], ["D-SEDOHEPTULOSE-7-P[j]", 0], ["D-SEDOHEPTULOSE-7-P[c]", 777400], ["D-SEDOHEPTULOSE-7-P[e]", 0], ["D-SEDOHEPTULOSE-7-P[s]", 0], ["D-SEDOHEPTULOSE-7-P[m]", 0], ["D-SEDOHEPTULOSE-7-P[o]", 0], ["D-SEDOHEPTULOSE-7-P[p]", 0], ["D-SEDOHEPTULOSE-7-P[l]", 0], ["D-SEDOHEPTULOSE-7-P[i]", 0], ["D-SERINE[j]", 0], ["D-SERINE[c]", 0], ["D-SERINE[e]", 0], ["D-SERINE[s]", 0], ["D-SERINE[m]", 0], ["D-SERINE[o]", 0], ["D-SERINE[p]", 0], ["D-SERINE[l]", 0], ["D-SERINE[i]", 0], ["D-SORBITOL-6-P[j]", 0], ["D-SORBITOL-6-P[c]", 0], ["D-SORBITOL-6-P[e]", 0], ["D-SORBITOL-6-P[s]", 0], ["D-SORBITOL-6-P[m]", 0], ["D-SORBITOL-6-P[o]", 0], ["D-SORBITOL-6-P[p]", 0], ["D-SORBITOL-6-P[l]", 0], ["D-SORBITOL-6-P[i]", 0], ["D-TAGATURONATE[j]", 0], ["D-TAGATURONATE[c]", 0], ["D-TAGATURONATE[e]", 0], ["D-TAGATURONATE[s]", 0], ["D-TAGATURONATE[m]", 0], ["D-TAGATURONATE[o]", 0], ["D-TAGATURONATE[p]", 0], ["D-TAGATURONATE[l]", 0], ["D-TAGATURONATE[i]", 0], ["D-TARTRATE[j]", 0], ["D-TARTRATE[c]", 0], ["D-TARTRATE[e]", 0], ["D-TARTRATE[s]", 0], ["D-TARTRATE[m]", 0], ["D-TARTRATE[o]", 0], ["D-TARTRATE[p]", 0], ["D-TARTRATE[l]", 0], ["D-TARTRATE[i]", 0], ["D-THREONINE[j]", 0], ["D-THREONINE[c]", 0], ["D-THREONINE[e]", 0], ["D-THREONINE[s]", 0], ["D-THREONINE[m]", 0], ["D-THREONINE[o]", 0], ["D-THREONINE[p]", 0], ["D-THREONINE[l]", 0], ["D-THREONINE[i]", 0], ["D-TRYPTOPHAN[j]", 0], ["D-TRYPTOPHAN[c]", 0], ["D-TRYPTOPHAN[e]", 0], ["D-TRYPTOPHAN[s]", 0], ["D-TRYPTOPHAN[m]", 0], ["D-TRYPTOPHAN[o]", 0], ["D-TRYPTOPHAN[p]", 0], ["D-TRYPTOPHAN[l]", 0], ["D-TRYPTOPHAN[i]", 0], ["D-TYROSINE[j]", 0], ["D-TYROSINE[c]", 0], ["D-TYROSINE[e]", 0], ["D-TYROSINE[s]", 0], ["D-TYROSINE[m]", 0], ["D-TYROSINE[o]", 0], ["D-TYROSINE[p]", 0], ["D-TYROSINE[l]", 0], ["D-TYROSINE[i]", 0], ["D-XYLONATE[j]", 0], ["D-XYLONATE[c]", 0], ["D-XYLONATE[e]", 0], ["D-XYLONATE[s]", 0], ["D-XYLONATE[m]", 0], ["D-XYLONATE[o]", 0], ["D-XYLONATE[p]", 0], ["D-XYLONATE[l]", 0], ["D-XYLONATE[i]", 0], ["D-XYLULOSE[j]", 0], ["D-XYLULOSE[c]", 0], ["D-XYLULOSE[e]", 0], ["D-XYLULOSE[s]", 0], ["D-XYLULOSE[m]", 0], ["D-XYLULOSE[o]", 0], ["D-XYLULOSE[p]", 0], ["D-XYLULOSE[l]", 0], ["D-XYLULOSE[i]", 0], ["D-Xylopyranose[j]", 0], ["D-Xylopyranose[c]", 0], ["D-Xylopyranose[e]", 0], ["D-Xylopyranose[s]", 0], ["D-Xylopyranose[m]", 0], ["D-Xylopyranose[o]", 0], ["D-Xylopyranose[p]", 0], ["D-Xylopyranose[l]", 0], ["D-Xylopyranose[i]", 0], ["D-Xylose[j]", 0], ["D-Xylose[c]", 0], ["D-Xylose[e]", 0], ["D-Xylose[s]", 0], ["D-Xylose[m]", 0], ["D-Xylose[o]", 0], ["D-Xylose[p]", 0], ["D-Xylose[l]", 0], ["D-Xylose[i]", 0], ["D-altropyranoses[j]", 0], ["D-altropyranoses[c]", 0], ["D-altropyranoses[e]", 0], ["D-altropyranoses[s]", 0], ["D-altropyranoses[m]", 0], ["D-altropyranoses[o]", 0], ["D-altropyranoses[p]", 0], ["D-altropyranoses[l]", 0], ["D-altropyranoses[i]", 0], ["D-arabinofuranose[j]", 0], ["D-arabinofuranose[c]", 0], ["D-arabinofuranose[e]", 0], ["D-arabinofuranose[s]", 0], ["D-arabinofuranose[m]", 0], ["D-arabinofuranose[o]", 0], ["D-arabinofuranose[p]", 0], ["D-arabinofuranose[l]", 0], ["D-arabinofuranose[i]", 0], ["D-arabinopyranose[j]", 0], ["D-arabinopyranose[c]", 0], ["D-arabinopyranose[e]", 0], ["D-arabinopyranose[s]", 0], ["D-arabinopyranose[m]", 0], ["D-arabinopyranose[o]", 0], ["D-arabinopyranose[p]", 0], ["D-arabinopyranose[l]", 0], ["D-arabinopyranose[i]", 0], ["D-aspartate-peptidoglycan[j]", 0], ["D-aspartate-peptidoglycan[c]", 0], ["D-aspartate-peptidoglycan[e]", 0], ["D-aspartate-peptidoglycan[s]", 0], ["D-aspartate-peptidoglycan[m]", 0], ["D-aspartate-peptidoglycan[o]", 0], ["D-aspartate-peptidoglycan[p]", 0], ["D-aspartate-peptidoglycan[l]", 0], ["D-aspartate-peptidoglycan[i]", 0], ["D-fructofuranose-1-phosphate[j]", 0], ["D-fructofuranose-1-phosphate[c]", 0], ["D-fructofuranose-1-phosphate[e]", 0], ["D-fructofuranose-1-phosphate[s]", 0], ["D-fructofuranose-1-phosphate[m]", 0], ["D-fructofuranose-1-phosphate[o]", 0], ["D-fructofuranose-1-phosphate[p]", 0], ["D-fructofuranose-1-phosphate[l]", 0], ["D-fructofuranose-1-phosphate[i]", 0], ["D-fructofuranuronate[j]", 0], ["D-fructofuranuronate[c]", 0], ["D-fructofuranuronate[e]", 0], ["D-fructofuranuronate[s]", 0], ["D-fructofuranuronate[m]", 0], ["D-fructofuranuronate[o]", 0], ["D-fructofuranuronate[p]", 0], ["D-fructofuranuronate[l]", 0], ["D-fructofuranuronate[i]", 0], ["D-fructopyranose-1-phosphate[j]", 0], ["D-fructopyranose-1-phosphate[c]", 0], ["D-fructopyranose-1-phosphate[e]", 0], ["D-fructopyranose-1-phosphate[s]", 0], ["D-fructopyranose-1-phosphate[m]", 0], ["D-fructopyranose-1-phosphate[o]", 0], ["D-fructopyranose-1-phosphate[p]", 0], ["D-fructopyranose-1-phosphate[l]", 0], ["D-fructopyranose-1-phosphate[i]", 0], ["D-galactofuransoe[j]", 0], ["D-galactofuransoe[c]", 0], ["D-galactofuransoe[e]", 0], ["D-galactofuransoe[s]", 0], ["D-galactofuransoe[m]", 0], ["D-galactofuransoe[o]", 0], ["D-galactofuransoe[p]", 0], ["D-galactofuransoe[l]", 0], ["D-galactofuransoe[i]", 0], ["D-galactopyranose[j]", 0], ["D-galactopyranose[c]", 0], ["D-galactopyranose[e]", 0], ["D-galactopyranose[s]", 0], ["D-galactopyranose[m]", 0], ["D-galactopyranose[o]", 0], ["D-galactopyranose[p]", 0], ["D-galactopyranose[l]", 0], ["D-galactopyranose[i]", 0], ["D-galactopyranose-6-phosphate[j]", 0], ["D-galactopyranose-6-phosphate[c]", 0], ["D-galactopyranose-6-phosphate[e]", 0], ["D-galactopyranose-6-phosphate[s]", 0], ["D-galactopyranose-6-phosphate[m]", 0], ["D-galactopyranose-6-phosphate[o]", 0], ["D-galactopyranose-6-phosphate[p]", 0], ["D-galactopyranose-6-phosphate[l]", 0], ["D-galactopyranose-6-phosphate[i]", 0], ["D-galactose-1-phosphate[j]", 0], ["D-galactose-1-phosphate[c]", 0], ["D-galactose-1-phosphate[e]", 0], ["D-galactose-1-phosphate[s]", 0], ["D-galactose-1-phosphate[m]", 0], ["D-galactose-1-phosphate[o]", 0], ["D-galactose-1-phosphate[p]", 0], ["D-galactose-1-phosphate[l]", 0], ["D-galactose-1-phosphate[i]", 0], ["D-glucopyranose-6-phosphate[j]", 0], ["D-glucopyranose-6-phosphate[c]", 0], ["D-glucopyranose-6-phosphate[e]", 0], ["D-glucopyranose-6-phosphate[s]", 0], ["D-glucopyranose-6-phosphate[m]", 0], ["D-glucopyranose-6-phosphate[o]", 0], ["D-glucopyranose-6-phosphate[p]", 0], ["D-glucopyranose-6-phosphate[l]", 0], ["D-glucopyranose-6-phosphate[i]", 0], ["D-glucose-1-phosphates[j]", 0], ["D-glucose-1-phosphates[c]", 0], ["D-glucose-1-phosphates[e]", 0], ["D-glucose-1-phosphates[s]", 0], ["D-glucose-1-phosphates[m]", 0], ["D-glucose-1-phosphates[o]", 0], ["D-glucose-1-phosphates[p]", 0], ["D-glucose-1-phosphates[l]", 0], ["D-glucose-1-phosphates[i]", 0], ["D-idopyranuronate[j]", 0], ["D-idopyranuronate[c]", 0], ["D-idopyranuronate[e]", 0], ["D-idopyranuronate[s]", 0], ["D-idopyranuronate[m]", 0], ["D-idopyranuronate[o]", 0], ["D-idopyranuronate[p]", 0], ["D-idopyranuronate[l]", 0], ["D-idopyranuronate[i]", 0], ["D-mannopyranose[j]", 0], ["D-mannopyranose[c]", 0], ["D-mannopyranose[e]", 0], ["D-mannopyranose[s]", 0], ["D-mannopyranose[m]", 0], ["D-mannopyranose[o]", 0], ["D-mannopyranose[p]", 0], ["D-mannopyranose[l]", 0], ["D-mannopyranose[i]", 0], ["D-mannuronates[j]", 0], ["D-mannuronates[c]", 0], ["D-mannuronates[e]", 0], ["D-mannuronates[s]", 0], ["D-mannuronates[m]", 0], ["D-mannuronates[o]", 0], ["D-mannuronates[p]", 0], ["D-mannuronates[l]", 0], ["D-mannuronates[i]", 0], 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0], ["L-HISTIDINOL-P[i]", 0], ["L-HOMOCYSTEATE[j]", 0], ["L-HOMOCYSTEATE[c]", 0], ["L-HOMOCYSTEATE[e]", 0], ["L-HOMOCYSTEATE[s]", 0], ["L-HOMOCYSTEATE[m]", 0], ["L-HOMOCYSTEATE[o]", 0], ["L-HOMOCYSTEATE[p]", 0], ["L-HOMOCYSTEATE[l]", 0], ["L-HOMOCYSTEATE[i]", 0], ["L-IDONATE[j]", 0], ["L-IDONATE[c]", 0], ["L-IDONATE[e]", 0], ["L-IDONATE[s]", 0], ["L-IDONATE[m]", 0], ["L-IDONATE[o]", 0], ["L-IDONATE[p]", 0], ["L-IDONATE[l]", 0], ["L-IDONATE[i]", 0], ["L-Iduronate[j]", 0], ["L-Iduronate[c]", 0], ["L-Iduronate[e]", 0], ["L-Iduronate[s]", 0], ["L-Iduronate[m]", 0], ["L-Iduronate[o]", 0], ["L-Iduronate[p]", 0], ["L-Iduronate[l]", 0], ["L-Iduronate[i]", 0], ["L-LACTATE[j]", 0], ["L-LACTATE[c]", 0], ["L-LACTATE[e]", 0], ["L-LACTATE[s]", 0], ["L-LACTATE[m]", 0], ["L-LACTATE[o]", 0], ["L-LACTATE[p]", 0], ["L-LACTATE[l]", 0], ["L-LACTATE[i]", 0], ["L-LACTDEHYDROGFMN-MONOMER[i]", 287], ["L-LYXOSE[j]", 0], ["L-LYXOSE[c]", 0], ["L-LYXOSE[e]", 0], ["L-LYXOSE[s]", 0], ["L-LYXOSE[m]", 0], 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0], ["L-PANTOATE[l]", 0], ["L-PANTOATE[i]", 0], ["L-PENICILLAMINE[j]", 0], ["L-PENICILLAMINE[c]", 0], ["L-PENICILLAMINE[e]", 0], ["L-PENICILLAMINE[s]", 0], ["L-PENICILLAMINE[m]", 0], ["L-PENICILLAMINE[o]", 0], ["L-PENICILLAMINE[p]", 0], ["L-PENICILLAMINE[l]", 0], ["L-PENICILLAMINE[i]", 0], ["L-PHOSPHINOTHRICIN[j]", 0], ["L-PHOSPHINOTHRICIN[c]", 0], ["L-PHOSPHINOTHRICIN[e]", 0], ["L-PHOSPHINOTHRICIN[s]", 0], ["L-PHOSPHINOTHRICIN[m]", 0], ["L-PHOSPHINOTHRICIN[o]", 0], ["L-PHOSPHINOTHRICIN[p]", 0], ["L-PHOSPHINOTHRICIN[l]", 0], ["L-PHOSPHINOTHRICIN[i]", 0], ["L-PIPECOLATE[j]", 0], ["L-PIPECOLATE[c]", 0], ["L-PIPECOLATE[e]", 0], ["L-PIPECOLATE[s]", 0], ["L-PIPECOLATE[m]", 0], ["L-PIPECOLATE[o]", 0], ["L-PIPECOLATE[p]", 0], ["L-PIPECOLATE[l]", 0], ["L-PIPECOLATE[i]", 0], ["L-RHAMNOFURANOSE[j]", 0], ["L-RHAMNOFURANOSE[c]", 0], ["L-RHAMNOFURANOSE[e]", 0], ["L-RHAMNOFURANOSE[s]", 0], ["L-RHAMNOFURANOSE[m]", 0], ["L-RHAMNOFURANOSE[o]", 0], ["L-RHAMNOFURANOSE[p]", 0], ["L-RHAMNOFURANOSE[l]", 0], ["L-RHAMNOFURANOSE[i]", 0], ["L-RHAMNONATE[j]", 0], ["L-RHAMNONATE[c]", 0], ["L-RHAMNONATE[e]", 0], ["L-RHAMNONATE[s]", 0], ["L-RHAMNONATE[m]", 0], ["L-RHAMNONATE[o]", 0], ["L-RHAMNONATE[p]", 0], ["L-RHAMNONATE[l]", 0], ["L-RHAMNONATE[i]", 0], ["L-RIBULOSE[j]", 0], ["L-RIBULOSE[c]", 0], ["L-RIBULOSE[e]", 0], ["L-RIBULOSE[s]", 0], ["L-RIBULOSE[m]", 0], ["L-RIBULOSE[o]", 0], ["L-RIBULOSE[p]", 0], ["L-RIBULOSE[l]", 0], ["L-RIBULOSE[i]", 0], ["L-RIBULOSE-5-P[j]", 0], ["L-RIBULOSE-5-P[c]", 0], ["L-RIBULOSE-5-P[e]", 0], ["L-RIBULOSE-5-P[s]", 0], ["L-RIBULOSE-5-P[m]", 0], ["L-RIBULOSE-5-P[o]", 0], ["L-RIBULOSE-5-P[p]", 0], ["L-RIBULOSE-5-P[l]", 0], ["L-RIBULOSE-5-P[i]", 0], ["L-SELENOCYSTEINE[j]", 0], ["L-SELENOCYSTEINE[c]", 74934], ["L-SELENOCYSTEINE[e]", 0], ["L-SELENOCYSTEINE[s]", 0], ["L-SELENOCYSTEINE[m]", 0], ["L-SELENOCYSTEINE[o]", 0], ["L-SELENOCYSTEINE[p]", 0], ["L-SELENOCYSTEINE[l]", 0], ["L-SELENOCYSTEINE[i]", 0], ["L-THREO-3-METHYL-ASPARTATE[j]", 0], ["L-THREO-3-METHYL-ASPARTATE[c]", 0], ["L-THREO-3-METHYL-ASPARTATE[e]", 0], ["L-THREO-3-METHYL-ASPARTATE[s]", 0], ["L-THREO-3-METHYL-ASPARTATE[m]", 0], ["L-THREO-3-METHYL-ASPARTATE[o]", 0], ["L-THREO-3-METHYL-ASPARTATE[p]", 0], ["L-THREO-3-METHYL-ASPARTATE[l]", 0], ["L-THREO-3-METHYL-ASPARTATE[i]", 0], ["L-THREONINE-O-3-PHOSPHATE[j]", 0], ["L-THREONINE-O-3-PHOSPHATE[c]", 0], ["L-THREONINE-O-3-PHOSPHATE[e]", 0], ["L-THREONINE-O-3-PHOSPHATE[s]", 0], ["L-THREONINE-O-3-PHOSPHATE[m]", 0], ["L-THREONINE-O-3-PHOSPHATE[o]", 0], ["L-THREONINE-O-3-PHOSPHATE[p]", 0], ["L-THREONINE-O-3-PHOSPHATE[l]", 0], ["L-THREONINE-O-3-PHOSPHATE[i]", 0], ["L-XYLOSE[j]", 0], ["L-XYLOSE[c]", 0], ["L-XYLOSE[e]", 0], ["L-XYLOSE[s]", 0], ["L-XYLOSE[m]", 0], ["L-XYLOSE[o]", 0], ["L-XYLOSE[p]", 0], ["L-XYLOSE[l]", 0], ["L-XYLOSE[i]", 0], ["L-XYLULOSE[j]", 0], ["L-XYLULOSE[c]", 0], ["L-XYLULOSE[e]", 0], ["L-XYLULOSE[s]", 0], ["L-XYLULOSE[m]", 0], ["L-XYLULOSE[o]", 0], ["L-XYLULOSE[p]", 0], ["L-XYLULOSE[l]", 0], ["L-XYLULOSE[i]", 0], ["L-XYLULOSE-5-P[j]", 0], ["L-XYLULOSE-5-P[c]", 0], ["L-XYLULOSE-5-P[e]", 0], ["L-XYLULOSE-5-P[s]", 0], ["L-XYLULOSE-5-P[m]", 0], ["L-XYLULOSE-5-P[o]", 0], ["L-XYLULOSE-5-P[p]", 0], ["L-XYLULOSE-5-P[l]", 0], ["L-XYLULOSE-5-P[i]", 0], ["L-arabinofuranose[j]", 0], ["L-arabinofuranose[c]", 0], ["L-arabinofuranose[e]", 0], ["L-arabinofuranose[s]", 0], ["L-arabinofuranose[m]", 0], ["L-arabinofuranose[o]", 0], ["L-arabinofuranose[p]", 0], ["L-arabinofuranose[l]", 0], ["L-arabinofuranose[i]", 0], ["L-arabinopyranose[j]", 0], ["L-arabinopyranose[c]", 0], ["L-arabinopyranose[e]", 0], ["L-arabinopyranose[s]", 0], ["L-arabinopyranose[m]", 0], ["L-arabinopyranose[o]", 0], ["L-arabinopyranose[p]", 0], ["L-arabinopyranose[l]", 0], ["L-arabinopyranose[i]", 0], ["L-fucoses[j]", 0], ["L-fucoses[c]", 0], ["L-fucoses[e]", 0], ["L-fucoses[s]", 0], ["L-fucoses[m]", 0], ["L-fucoses[o]", 0], ["L-fucoses[p]", 0], ["L-fucoses[l]", 0], ["L-fucoses[i]", 0], ["L-gulopyranose[j]", 0], ["L-gulopyranose[c]", 0], ["L-gulopyranose[e]", 0], ["L-gulopyranose[s]", 0], ["L-gulopyranose[m]", 0], ["L-gulopyranose[o]", 0], ["L-gulopyranose[p]", 0], ["L-gulopyranose[l]", 0], ["L-gulopyranose[i]", 0], ["L-idopyranuronate[j]", 0], ["L-idopyranuronate[c]", 0], ["L-idopyranuronate[e]", 0], ["L-idopyranuronate[s]", 0], ["L-idopyranuronate[m]", 0], ["L-idopyranuronate[o]", 0], ["L-idopyranuronate[p]", 0], ["L-idopyranuronate[l]", 0], ["L-idopyranuronate[i]", 0], ["L-mannose[j]", 0], ["L-mannose[c]", 0], ["L-mannose[e]", 0], ["L-mannose[s]", 0], ["L-mannose[m]", 0], ["L-mannose[o]", 0], ["L-mannose[p]", 0], ["L-mannose[l]", 0], ["L-mannose[i]", 0], ["L-rhamnopyranose[j]", 0], ["L-rhamnopyranose[c]", 0], ["L-rhamnopyranose[e]", 0], ["L-rhamnopyranose[s]", 0], ["L-rhamnopyranose[m]", 0], ["L-rhamnopyranose[o]", 0], ["L-rhamnopyranose[p]", 0], ["L-rhamnopyranose[l]", 0], ["L-rhamnopyranose[i]", 0], ["L-rhamnose[j]", 0], ["L-rhamnose[c]", 0], ["L-rhamnose[e]", 0], ["L-rhamnose[s]", 0], ["L-rhamnose[m]", 0], ["L-rhamnose[o]", 0], ["L-rhamnose[p]", 0], ["L-rhamnose[l]", 0], ["L-rhamnose[i]", 0], ["L-sorbose[j]", 0], ["L-sorbose[c]", 0], ["L-sorbose[e]", 0], ["L-sorbose[s]", 0], ["L-sorbose[m]", 0], ["L-sorbose[o]", 0], ["L-sorbose[p]", 0], ["L-sorbose[l]", 0], ["L-sorbose[i]", 0], ["L-xylopyranose[j]", 0], ["L-xylopyranose[c]", 0], ["L-xylopyranose[e]", 0], ["L-xylopyranose[s]", 0], ["L-xylopyranose[m]", 0], ["L-xylopyranose[o]", 0], ["L-xylopyranose[p]", 0], ["L-xylopyranose[l]", 0], ["L-xylopyranose[i]", 0], ["LACTALD[j]", 0], ["LACTALD[c]", 0], ["LACTALD[e]", 0], ["LACTALD[s]", 0], ["LACTALD[m]", 0], ["LACTALD[o]", 0], ["LACTALD[p]", 0], ["LACTALD[l]", 0], ["LACTALD[i]", 0], ["LACTALDDEHYDROG-MONOMER[c]", 1], ["LACTALDREDUCT-CPLX[c]", 34], ["LACTALDREDUCT-MONOMER[c]", 0], ["LACY-MONOMER[m]", 7], ["LARGEILVB-MONOMER[c]", 4], ["LAUROYLACYLTRAN-MONOMER[m]", 156], ["LAUROYLCOA-CPD[j]", 0], ["LAUROYLCOA-CPD[c]", 0], ["LAUROYLCOA-CPD[e]", 0], ["LAUROYLCOA-CPD[s]", 0], ["LAUROYLCOA-CPD[m]", 0], ["LAUROYLCOA-CPD[o]", 0], ["LAUROYLCOA-CPD[p]", 0], ["LAUROYLCOA-CPD[l]", 0], ["LAUROYLCOA-CPD[i]", 0], ["LCTP-MONOMER[i]", 145], ["LDC2-CPLX[c]", 7], ["LDC2-MONOMER[c]", 1], ["LEU[j]", 0], ["LEU[c]", 312055], ["LEU[e]", 0], ["LEU[s]", 0], ["LEU[m]", 0], ["LEU[o]", 0], ["LEU[p]", 0], ["LEU[l]", 0], ["LEU[i]", 0], ["LEUC-MONOMER[c]", 4], ["LEUD-MONOMER[c]", 6899], ["LEUS-MONOMER[c]", 3041], ["LI+[j]", 0], ["LI+[c]", 0], ["LI+[e]", 0], ["LI+[s]", 0], ["LI+[m]", 0], ["LI+[o]", 0], ["LI+[p]", 0], ["LI+[l]", 0], ["LI+[i]", 0], ["LINAMARIN[j]", 0], ["LINAMARIN[c]", 0], ["LINAMARIN[e]", 0], ["LINAMARIN[s]", 0], ["LINAMARIN[m]", 0], ["LINAMARIN[o]", 0], ["LINAMARIN[p]", 0], ["LINAMARIN[l]", 0], ["LINAMARIN[i]", 0], ["LIPID-IV-A[j]", 0], ["LIPID-IV-A[c]", 0], ["LIPID-IV-A[e]", 0], ["LIPID-IV-A[s]", 0], ["LIPID-IV-A[m]", 0], ["LIPID-IV-A[o]", 0], ["LIPID-IV-A[p]", 0], ["LIPID-IV-A[l]", 0], ["LIPID-IV-A[i]", 0], ["LIPIDADISACCHARIDESYNTH-MONOMER[i]", 1], ["LIPOAMIDE[j]", 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false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false], 1985650, 5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2031211584348458646], [2922, 1, 0, [false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false], 1985650, 6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5014856213179202006], [2923, 1, 0, [false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false], 1986137, 3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5711555027199119885], [2923, 1, 0, [false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false], 1986137, 4, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2166007611098179374], [2923, 1, 0, [false, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}, "process_state": {"polypeptide_elongation": {"aa_count_diff": {}, "gtp_to_hydrolyze": 9416808.0}}, "request": {"ecoli-chromosome-replication": {"bulk": []}, "ecoli-complexation": {"bulk": []}, "ecoli-equilibrium": {"bulk": []}, "ecoli-polypeptide-elongation": {"bulk": []}, "ecoli-polypeptide-initiation": {"bulk": []}, "ecoli-protein-degradation": {"bulk": []}, "ecoli-rna-degradation": {"bulk": []}, "ecoli-tf-binding": {"bulk": []}, "ecoli-transcript-elongation": {"bulk": []}, "ecoli-transcript-initiation": {"bulk": []}, "ecoli-two-component-system": {"bulk": []}}, "division_threshold": 1131.709984514699, "bulk_dtypes": "[('id', '<U43'), ('count', '<i8')]", "unique_dtypes": {"active_replisome": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('coordinates', '<i8'), ('domain_index', '<i4'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('right_replichore', '?'), ('unique_index', '<i8')]", "oriC": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('domain_index', '<i4'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]", "chromosome_domain": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('child_domains', '<i4', (2,)), ('domain_index', '<i4'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]", "full_chromosome": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('division_time', '<f8'), ('domain_index', '<i4'), ('has_triggered_division', '?'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]", "active_ribosome": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('mRNA_index', '<i8'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('peptide_length', '<i8'), ('pos_on_mRNA', '<i8'), ('protein_index', '<i8'), ('unique_index', '<i8')]", "RNA": "[('RNAP_index', '<i8'), ('TU_index', '<i8'), ('_entryState', 'i1'), ('_globalIndex', '<i8'), ('can_translate', '?'), ('is_full_transcript', '?'), ('is_mRNA', '?'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('transcript_length', '<i8'), ('unique_index', '<i8')]", "promoter": "[('TU_index', '<i8'), ('_entryState', 'i1'), ('_globalIndex', '<i8'), ('bound_TF', '?', (24,)), ('coordinates', '<i8'), ('domain_index', '<i4'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]", "active_RNAP": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('coordinates', '<i8'), ('direction', '?'), ('domain_index', '<i4'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]", "DnaA_box": "[('DnaA_bound', '?'), ('_entryState', 'i1'), ('_globalIndex', '<i8'), ('coordinates', '<i8'), ('domain_index', '<i4'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]", "chromosomal_segment": "[('_entryState', 'i1'), ('_globalIndex', '<i8'), ('boundary_coordinates', '<i8', (2,)), ('boundary_molecule_indexes', '<i8', (2,)), ('domain_index', '<i4'), ('linking_number', '<f8'), ('massDiff_DNA', '<f8'), ('massDiff_mRNA', '<f8'), ('massDiff_metabolite', '<f8'), ('massDiff_miscRNA', '<f8'), ('massDiff_nonspecific_RNA', '<f8'), ('massDiff_protein', '<f8'), ('massDiff_rRNA', '<f8'), ('massDiff_tRNA', '<f8'), ('massDiff_water', '<f8'), ('unique_index', '<i8')]"}}
\ No newline at end of file
diff --git a/ecoli/composites/ecoli_configs/fba_redux_div.json b/ecoli/composites/ecoli_configs/fba_redux_div.json
index 401dde384..59d14fc35 100644
--- a/ecoli/composites/ecoli_configs/fba_redux_div.json
+++ b/ecoli/composites/ecoli_configs/fba_redux_div.json
@@ -10,6 +10,6 @@
         "mRNA_counts_listener": [["ecoli-mass-listener"]],
         "monomer_counts_listener": [["mRNA_counts_listener"]]
     },
-    "raw_output" : false,
-    "divide" : false
+    "divide" : false,
+    "initial_state_file": "vivecoli_t800"
 }
diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index 448b275ea..75fc0d914 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -194,15 +194,19 @@ def test_ecoli_with_metabolism_redux(
 @pytest.mark.slow
 def test_ecoli_with_metabolism_redux_div(
         filename='fba_redux_div',
-        total_time=4,
+        total_time=200,
         divide=True,
         emitter='timeseries',
+        save = True,
+        save_times = [100],
 ):
     # TODO (Cyrus) - Add test that affirms structure of output query.
     sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
     sim.total_time = total_time
     sim.divide = divide
     sim.emitter = emitter
+    sim.save = save
+    sim.save_times = save_times
     sim.build_ecoli()
 
     sim.run()

From cf45d68b2124861549c19de2652b0f244f4e0cb2 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 31 Jul 2023 13:28:08 -0700
Subject: [PATCH 48/58] Fixed failing test for testing cell division and
 metabolism process swap.

---
 ...ecoli_t800.json => met_division_test.json} |  0
 .../ecoli_configs/fba_redux_div.json          |  4 +-
 ecoli/experiments/metabolism_redux_sim.py     | 55 ++++---------------
 ecoli/processes/metabolism_redux.py           |  6 +-
 4 files changed, 15 insertions(+), 50 deletions(-)
 rename data/{vivecoli_t800.json => met_division_test.json} (100%)

diff --git a/data/vivecoli_t800.json b/data/met_division_test.json
similarity index 100%
rename from data/vivecoli_t800.json
rename to data/met_division_test.json
diff --git a/ecoli/composites/ecoli_configs/fba_redux_div.json b/ecoli/composites/ecoli_configs/fba_redux_div.json
index 59d14fc35..f8934d21e 100644
--- a/ecoli/composites/ecoli_configs/fba_redux_div.json
+++ b/ecoli/composites/ecoli_configs/fba_redux_div.json
@@ -10,6 +10,6 @@
         "mRNA_counts_listener": [["ecoli-mass-listener"]],
         "monomer_counts_listener": [["mRNA_counts_listener"]]
     },
-    "divide" : false,
-    "initial_state_file": "vivecoli_t800"
+    "divide" : true,
+    "initial_state_file": "met_division_test"
 }
diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index 75fc0d914..008fd9cee 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -163,51 +163,22 @@ def run_ecoli_with_metabolism_redux(
     save_sim_output(folder, query, sim, save_model=True)
 
 
-
-@pytest.mark.slow
-def test_ecoli_with_metabolism_redux(
-        filename='fba_redux',
-        total_time=4,
-        divide=False,
-        progress_bar=True,
-        log_updates=False,
-        emitter='timeseries',
-):
-    sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
-    sim.total_time = total_time
-    sim.divide = divide
-    sim.progress_bar = progress_bar
-    sim.log_updates = log_updates
-    sim.emitter = emitter
-    sim.build_ecoli()
-
-    # run simulation and add asserts to output
-    sim.run()
-
-    # assert 'ecoli-metabolism-gradient-descent' in sim.ecoli['processes']
-    # assert 'ecoli-metabolism' not in sim.ecoli['processes']
-    # assert 'ecoli-metabolism-gradient-descent' in sim.ecoli['topology']
-    # assert 'ecoli-metabolism' not in sim.ecoli['topology']
-
-
-
 @pytest.mark.slow
 def test_ecoli_with_metabolism_redux_div(
         filename='fba_redux_div',
-        total_time=200,
-        divide=True,
+        total_time=30,
         emitter='timeseries',
-        save = True,
-        save_times = [100],
+        initial_state_file = 'met_division_test'
 ):
     # TODO (Cyrus) - Add test that affirms structure of output query.
     sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
     sim.total_time = total_time
-    sim.divide = divide
     sim.emitter = emitter
-    sim.save = save
-    sim.save_times = save_times
     sim.build_ecoli()
+    sim.initial_state = get_state_from_file(path=f'data/{initial_state_file}.json')
+
+    # this means that sims will not create conflicting random indices
+    sim.seed += sim.initial_state['global_time']
 
     sim.run()
     
@@ -217,16 +188,11 @@ def test_ecoli_with_metabolism_redux_div(
     # assert 'ecoli-metabolism-gradient-descent' in sim.processes
     # assert 'ecoli-metabolism' not in sim.processes
 
-    query = []
-    agents = sim.query()['agents'].keys()
-    for agent in agents:
-        query.extend([('agents', agent, 'listeners', 'fba_results'),
-                      ('agents', agent, 'listeners', 'mass'),
-                      ('agents', agent, 'bulk')])
-    output = sim.query(query)
+    # assert division occured
+    assert len(sim.query()[total_time]['agents']) == 2 , "Cell did not divide in metabolism division test"
+
+    # TODO check fluxes in the output query
 
-    # test that water is being used (model is running)
-    assert sum(output['agents'][agent]['listeners']['fba_results']['estimated_fluxes']['WATER[p]']) != 0
 
 def run_ecoli_with_default_metabolism(
         filename='default',
@@ -260,7 +226,6 @@ def run_ecoli_with_default_metabolism(
     '0': run_metabolism,
     '1': run_metabolism_composite,
     '2': run_ecoli_with_metabolism_redux,
-    '3': test_ecoli_with_metabolism_redux,
     '4': test_ecoli_with_metabolism_redux_div,
     '5': run_ecoli_with_default_metabolism,
 }
diff --git a/ecoli/processes/metabolism_redux.py b/ecoli/processes/metabolism_redux.py
index b8560f889..b1e7961fb 100644
--- a/ecoli/processes/metabolism_redux.py
+++ b/ecoli/processes/metabolism_redux.py
@@ -320,7 +320,7 @@ def next_update(self, timestep, states):
             kinetic_targets=target_kinetic_values,
             binary_kinetic_idx=binary_kinetic_idx,
             objective_weights=objective_weights,
-            solver=cp.GLOP)
+            solver=cp.MOSEK)
 
         self.reaction_fluxes = solution.velocities
         self.metabolite_dmdt = solution.dm_dt
@@ -469,7 +469,7 @@ def solve(self,
         binary_kinetic_idx: Iterable[int] = None,
         objective_weights: Mapping[str, float] = None,
         upper_flux_bound: float = 100,
-        solver = cp.GLOP
+        solver = cp.MOSEK
     ) -> FlowResult:
         """Solve the network flow model for fluxes and dm/dt values."""
         # set up variables
@@ -536,7 +536,7 @@ def test_network_flow_model():
 
     solution: FlowResult = model.solve(homeostatic_targets=list(homeostatic_metabolites.values()),
                                        objective_weights={'secretion': 0.01, 'efficiency': 0.0001},
-                                       upper_flux_bound=100, solver=cp.GLOP)
+                                       upper_flux_bound=100, solver=cp.MOSEK)
 
     assert np.isclose(solution.velocities, np.array([1, 1, 0])).all() == True, "Network flow toy model did not converge to correct solution."
 

From 62084edd36003ed981102aef87df451bc045ad44 Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 31 Jul 2023 13:28:43 -0700
Subject: [PATCH 49/58] Added todos

---
 ecoli/experiments/metabolism_redux_sim.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index 008fd9cee..1a17fe98e 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -191,7 +191,8 @@ def test_ecoli_with_metabolism_redux_div(
     # assert division occured
     assert len(sim.query()[total_time]['agents']) == 2 , "Cell did not divide in metabolism division test"
 
-    # TODO check fluxes in the output query
+    # TODO assert fluxes in the output query
+    # TODO assert that processes have been swapped
 
 
 def run_ecoli_with_default_metabolism(

From b4a3bd60392d95273097600f00089071a107d34c Mon Sep 17 00:00:00 2001
From: Cyrus <cyrus.bio@pm.me>
Date: Mon, 31 Jul 2023 14:21:32 -0700
Subject: [PATCH 50/58] Changed solver.

---
 ecoli/processes/metabolism_redux.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/ecoli/processes/metabolism_redux.py b/ecoli/processes/metabolism_redux.py
index b1e7961fb..b8560f889 100644
--- a/ecoli/processes/metabolism_redux.py
+++ b/ecoli/processes/metabolism_redux.py
@@ -320,7 +320,7 @@ def next_update(self, timestep, states):
             kinetic_targets=target_kinetic_values,
             binary_kinetic_idx=binary_kinetic_idx,
             objective_weights=objective_weights,
-            solver=cp.MOSEK)
+            solver=cp.GLOP)
 
         self.reaction_fluxes = solution.velocities
         self.metabolite_dmdt = solution.dm_dt
@@ -469,7 +469,7 @@ def solve(self,
         binary_kinetic_idx: Iterable[int] = None,
         objective_weights: Mapping[str, float] = None,
         upper_flux_bound: float = 100,
-        solver = cp.MOSEK
+        solver = cp.GLOP
     ) -> FlowResult:
         """Solve the network flow model for fluxes and dm/dt values."""
         # set up variables
@@ -536,7 +536,7 @@ def test_network_flow_model():
 
     solution: FlowResult = model.solve(homeostatic_targets=list(homeostatic_metabolites.values()),
                                        objective_weights={'secretion': 0.01, 'efficiency': 0.0001},
-                                       upper_flux_bound=100, solver=cp.MOSEK)
+                                       upper_flux_bound=100, solver=cp.GLOP)
 
     assert np.isclose(solution.velocities, np.array([1, 1, 0])).all() == True, "Network flow toy model did not converge to correct solution."
 

From 1431de7739bc6b40ad31597225807ea4cf55c1bc Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Tue, 1 Aug 2023 13:13:13 -0700
Subject: [PATCH 51/58] Added graph visualization of reaction and metabolite
 flux

---
 ecoli/experiments/metabolism_redux_sim.py     |   5 +
 .../actual_sim_analysis.ipynb                 |  14 +-
 .../flux_visualization.ipynb                  | 316 ++++++++++++++++++
 3 files changed, 332 insertions(+), 3 deletions(-)
 create mode 100644 ecoli/experiments/new_environments_test/flux_visualization.ipynb

diff --git a/ecoli/experiments/metabolism_redux_sim.py b/ecoli/experiments/metabolism_redux_sim.py
index 448b275ea..c331ff8e1 100644
--- a/ecoli/experiments/metabolism_redux_sim.py
+++ b/ecoli/experiments/metabolism_redux_sim.py
@@ -197,6 +197,11 @@ def test_ecoli_with_metabolism_redux_div(
         total_time=4,
         divide=True,
         emitter='timeseries',
+        initial_state_file='wcecoli_t0',
+        progress_bar=True,
+        log_updates=False,
+        raw_output=False,
+        save=False,
 ):
     # TODO (Cyrus) - Add test that affirms structure of output query.
     sim = EcoliSim.from_file(CONFIG_DIR_PATH + filename + '.json')
diff --git a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
index 40fcccb2c..4b73da232 100644
--- a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
+++ b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
@@ -332,6 +332,7 @@
     "time = '50'\n",
     "date = '2023-07-21'\n",
     "experiment = 'fba_new_environments'\n",
+    "# Change the environment name here\n",
     "env_name = 'Hydrogen_fumarate_-O2_Glc'\n",
     "entry = f'{experiment}_{env_name}_{time}_{date}'\n",
     "folder = f'out/fba_new_env/{entry}/'\n",
@@ -526,6 +527,15 @@
     }
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Pathway visualization of changing fluxes"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
    "execution_count": 95,
@@ -551,9 +561,7 @@
      ]
     }
    ],
-   "source": [
-    "print(sim_fluxes)"
-   ],
+   "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
diff --git a/ecoli/experiments/new_environments_test/flux_visualization.ipynb b/ecoli/experiments/new_environments_test/flux_visualization.ipynb
new file mode 100644
index 000000000..734f590a9
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/flux_visualization.ipynb
@@ -0,0 +1,316 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:42.487642Z",
+     "start_time": "2023-08-01T20:09:42.403836Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "from pyvis.network import Network\n",
+    "import math\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import xmltodict\n",
+    "import os\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "outputs": [],
+   "source": [
+    "# Change the environment name here\n",
+    "env_name = 'Acetate_Transport_+_Metabolism'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:42.487930Z",
+     "start_time": "2023-08-01T20:09:42.417104Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-07-21'\n",
+    "experiment = 'fba_new_environments'\n",
+    "entry = f'{experiment}_{env_name}_{time}_{date}'\n",
+    "folder = f'out/fba_new_env/{entry}/'\n",
+    "\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "\n",
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])\n",
+    "\n",
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "index_to_met = {v: k for k, v in metabolites_idx.items()}\n",
+    "\n",
+    "reaction_idx = {reaction: i for i, reaction in enumerate(metabolism.reaction_names)}\n",
+    "index_to_rxn = {v: k for k, v in reaction_idx.items()}\n",
+    "\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:48.646038Z",
+     "start_time": "2023-08-01T20:09:42.434934Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "outputs": [],
+   "source": [
+    "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:57.199691Z",
+     "start_time": "2023-08-01T20:09:48.646700Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Building the graph"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "outputs": [],
+   "source": [
+    "G = nx.MultiDiGraph()\n",
+    "\n",
+    "met_length = len(metabolism.metabolite_names)\n",
+    "reaction_length = np.shape(stoichiometry)[1]\n",
+    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\"]\n",
+    "# met_not_include = []\n",
+    "do_not_include = []\n",
+    "\n",
+    "for met in met_not_include:\n",
+    "    do_not_include.append(metabolites_idx[met])\n",
+    "\n",
+    "def plot_metabolite(G, metabolite):\n",
+    "    index = metabolites_idx[metabolite]\n",
+    "    for k in range(reaction_length):\n",
+    "        if stoichiometry[index, k] > 0:\n",
+    "            for l in range(met_length):\n",
+    "                if stoichiometry[l, k] < 0:\n",
+    "                    if l != index and l not in do_not_include:\n",
+    "                        G.add_edge(index_to_met[l], metabolite) # Add weight here equal to reaction flux\n",
+    "        elif stoichiometry[index, k] < 0:\n",
+    "            for l in range(met_length):\n",
+    "                if stoichiometry[l, k] > 0:\n",
+    "                    if l != index and l not in do_not_include:\n",
+    "                        G.add_edge(index_to_met[l], metabolite) # Add weight here equal to reaction flux\n",
+    "\n",
+    "\n",
+    "def plot_reaction(G, reaction, flux, color):\n",
+    "    index = reaction_idx[reaction]\n",
+    "    reactants = []\n",
+    "    products = []\n",
+    "    clean_name = clean_reaction_name(reaction)\n",
+    "    for k in range(met_length):\n",
+    "        if stoichiometry[k, index] > 0 and index_to_met[k] not in met_not_include:\n",
+    "            products.append(index_to_met[k])\n",
+    "        elif stoichiometry[k, index] < 0 and index_to_met[k] not in met_not_include:\n",
+    "            reactants.append(index_to_met[k])\n",
+    "\n",
+    "    for reactant in reactants:\n",
+    "        G.add_edge(reactant, clean_name, color=color, title=flux)\n",
+    "\n",
+    "    for product in products:\n",
+    "        G.add_edge(product, clean_name, color=color, title=flux)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:57.216308Z",
+     "start_time": "2023-08-01T20:09:57.210717Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "outputs": [],
+   "source": [
+    "# Not currently used in this analysis but can be useful later\n",
+    "\n",
+    "def clean_reaction_name(reaction):\n",
+    "    if '/' in reaction:\n",
+    "        index = reaction.find('RXN')\n",
+    "        if (reaction[index+3] == '-' and reaction[index+4].isdigit()) or (reaction[index+4] == '-' and reaction[index+5].isdigit()):\n",
+    "            index = index + 4\n",
+    "            if reaction[index] == '-':\n",
+    "                index += 1\n",
+    "            while reaction[index].isdigit():\n",
+    "                index += 1\n",
+    "            reaction = reaction[:index]\n",
+    "        else:\n",
+    "            reaction = reaction[:index+3]\n",
+    "    elif '__' in reaction:\n",
+    "        reaction = reaction[:reaction.find('__')]\n",
+    "    elif '(reverse)' in reaction:\n",
+    "        reaction = reaction[:reaction.find('(reverse)') - 1]\n",
+    "    elif '[' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[') - 1]\n",
+    "    elif ' ' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[')]\n",
+    "    return reaction\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:57.230824Z",
+     "start_time": "2023-08-01T20:09:57.224123Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Warning: When  cdn_resources is 'local' jupyter notebook has issues displaying graphics on chrome/safari. Use cdn_resources='in_line' or cdn_resources='remote' if you have issues viewing graphics in a notebook.\n",
+      "out/new_env_analysis/flux_visualization/Acetate_Transport_+_Metabolism_top20_network.html\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.lib.display.IFrame at 0x15cd8c2e0>",
+      "text/html": "\n        <iframe\n            width=\"2000px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/flux_visualization/Acetate_Transport_+_Metabolism_top20_network.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+     },
+     "execution_count": 171,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "k = 20\n",
+    "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
+    "top_increase = [heatmap_df.iloc[i, 0] for i in range(k)]\n",
+    "bottom_increase = [heatmap_df.iloc[i, 0] for i in range(-1, -1*k - 1, -1)]\n",
+    "\n",
+    "if \"Non-zero Values for each environment\" in top_increase:\n",
+    "    top_increase.remove(\"Non-zero Values for each environment\")\n",
+    "elif \"Non-zero Values for each environment\" in bottom_increase:\n",
+    "    bottom_increase.remove(\"Non-zero Values for each environment\")\n",
+    "\n",
+    "for reaction in top_increase:\n",
+    "    row_num = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
+    "    plot_reaction(G, reaction, heatmap_df[env_name].loc[row_num], 'green')\n",
+    "\n",
+    "for reaction in bottom_increase:\n",
+    "    row_num = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
+    "    plot_reaction(G, reaction, heatmap_df[env_name].loc[row_num], 'red')\n",
+    "\n",
+    "# nx.write_graphml(G, f'out/new_env_analysis/{env_name}_top10_graph.graphml')\n",
+    "\n",
+    "nt = Network('1000px', '2000px', notebook=True)\n",
+    "nt.repulsion()\n",
+    "nt.from_nx(G)\n",
+    "# for e in nt.edges:\n",
+    "#     e['value'] = e['width']\n",
+    "\n",
+    "# nt.toggle_physics(True)\n",
+    "nt.show(f'out/new_env_analysis/flux_visualization/{env_name}_top20_network.html')\n",
+    "\n",
+    "\n",
+    "# plt.figure(figsize=(25, 25))\n",
+    "# nx.draw_spring(G, with_labels=True, font_size=10, node_size=1000, node_color='lightblue', edge_color='black', width=1.5)\n",
+    "# plt.savefig(f'out/new_env_analysis/{env_name}_top10_graph.png', dpi=300)\n",
+    "# plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:58.334193Z",
+     "start_time": "2023-08-01T20:09:57.235174Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-01T20:09:58.341764Z",
+     "start_time": "2023-08-01T20:09:58.336713Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

From 2375a0ec1775d20bc7bf0106e2e1d4a138318554 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 2 Aug 2023 14:18:14 -0700
Subject: [PATCH 52/58] Added directed arrows and coloring for easier graph
 flux analysis

---
 .../actual_sim_analysis.ipynb                 |  22 +-
 .../flux_visualization.ipynb                  | 241 +++++++++++++-----
 2 files changed, 194 insertions(+), 69 deletions(-)

diff --git a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
index 4b73da232..4726733cc 100644
--- a/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
+++ b/ecoli/experiments/new_environments_test/actual_sim_analysis.ipynb
@@ -147,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 100,
    "outputs": [],
    "source": [
     "overall_flux = pd.read_excel(\"out/new_env_analysis/overall_sim_fluxes.xlsx\")\n",
@@ -156,14 +156,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-27T18:58:24.157493Z",
-     "start_time": "2023-07-27T18:58:13.572628Z"
+     "end_time": "2023-08-01T22:20:06.622442Z",
+     "start_time": "2023-08-01T22:19:54.049957Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 106,
    "outputs": [],
    "source": [
     "array = overall_flux.to_numpy()\n",
@@ -173,19 +173,19 @@
     "        if i == 0 or i == len(row) - 1:\n",
     "            continue\n",
     "        else:\n",
-    "            row[i] = (row[i] - row[len(row) - 1])"
+    "            row[i] = row[i] / (row[len(row) - 1] + 100)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-27T19:01:32.932860Z",
-     "start_time": "2023-07-27T19:01:32.215674Z"
+     "end_time": "2023-08-01T22:20:47.960338Z",
+     "start_time": "2023-08-01T22:20:47.154768Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 107,
    "outputs": [],
    "source": [
     "data = array[:,1:]\n",
@@ -197,15 +197,15 @@
     "for env in environments:\n",
     "    heatmap_df[env] = heatmap_df[env].astype(float)\n",
     "\n",
-    "heatmap_df.to_csv(rf'out/new_env_analysis/absolute_heatmap.csv')\n",
+    "heatmap_df.to_csv(rf'out/new_env_analysis/divide_heatmap.csv')\n",
     "\n",
     "# heatmap_df = pd.read_excel(\"out/new_env_analysis/absolute_heatmap.xlsx\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-07-27T19:01:47.214970Z",
-     "start_time": "2023-07-27T19:01:45.693285Z"
+     "end_time": "2023-08-01T22:20:49.811083Z",
+     "start_time": "2023-08-01T22:20:47.976338Z"
     }
    }
   },
diff --git a/ecoli/experiments/new_environments_test/flux_visualization.ipynb b/ecoli/experiments/new_environments_test/flux_visualization.ipynb
index 734f590a9..2cbc7c809 100644
--- a/ecoli/experiments/new_environments_test/flux_visualization.ipynb
+++ b/ecoli/experiments/new_environments_test/flux_visualization.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 561,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:42.487642Z",
-     "start_time": "2023-08-01T20:09:42.403836Z"
+     "end_time": "2023-08-02T21:04:37.266827Z",
+     "start_time": "2023-08-02T21:04:37.213764Z"
     }
    },
    "outputs": [],
@@ -16,6 +16,7 @@
     "import networkx as nx\n",
     "from pyvis.network import Network\n",
     "import math\n",
+    "import community as community_louvain\n",
     "\n",
     "import seaborn as sns\n",
     "import pandas as pd\n",
@@ -37,23 +38,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 562,
    "outputs": [],
    "source": [
     "# Change the environment name here\n",
-    "env_name = 'Acetate_Transport_+_Metabolism'"
+    "env_name = 'Acetoacetate_Transport'"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:42.487930Z",
-     "start_time": "2023-08-01T20:09:42.417104Z"
+     "end_time": "2023-08-02T21:04:37.316318Z",
+     "start_time": "2023-08-02T21:04:37.221690Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 563,
+   "outputs": [],
+   "source": [
+    "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "\n",
+    "row_num = condition_df[condition_df['Environment'] == env_name].index[0]\n",
+    "important_add = condition_df[\"Add\"].loc[row_num]\n",
+    "important_remove = condition_df[\"Remove\"].loc[row_num]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-02T21:04:37.371871Z",
+     "start_time": "2023-08-02T21:04:37.232200Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 564,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -85,28 +107,52 @@
     "index_to_rxn = {v: k for k, v in reaction_idx.items()}\n",
     "\n",
     "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
-    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}\n"
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-02T21:04:53.375420Z",
+     "start_time": "2023-08-02T21:04:37.312184Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 574,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "yes!\n"
+     ]
+    }
+   ],
+   "source": [
+    "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:48.646038Z",
-     "start_time": "2023-08-01T20:09:42.434934Z"
+     "end_time": "2023-08-02T21:06:04.258636Z",
+     "start_time": "2023-08-02T21:06:04.238559Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 566,
    "outputs": [],
    "source": [
-    "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")"
+    "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
+    "heatmap_df = heatmap_df[heatmap_df[env_name] != 0]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:57.199691Z",
-     "start_time": "2023-08-01T20:09:48.646700Z"
+     "end_time": "2023-08-02T21:05:10.368495Z",
+     "start_time": "2023-08-02T21:04:53.381657Z"
     }
    }
   },
@@ -121,14 +167,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 567,
    "outputs": [],
    "source": [
-    "G = nx.MultiDiGraph()\n",
+    "G = nx.DiGraph()\n",
     "\n",
     "met_length = len(metabolism.metabolite_names)\n",
     "reaction_length = np.shape(stoichiometry)[1]\n",
-    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\"]\n",
+    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\", \"ADP[c]\"]\n",
     "# met_not_include = []\n",
     "do_not_include = []\n",
     "\n",
@@ -162,22 +208,30 @@
     "            reactants.append(index_to_met[k])\n",
     "\n",
     "    for reactant in reactants:\n",
+    "        # nt.add_node(reactant, label=reactant, color='lightblue', shape='star', size=10)\n",
+    "        # nt.add_node(clean_name, label=clean_name, color='lightblue', shape='dot', size=10)\n",
+    "        # nt.add_edge(reactant, clean_name, color=color, title=flux, arrowStrikethrough=False)\n",
+    "\n",
     "        G.add_edge(reactant, clean_name, color=color, title=flux)\n",
     "\n",
     "    for product in products:\n",
-    "        G.add_edge(product, clean_name, color=color, title=flux)"
+    "        # nt.add_node(product, label=product, color='lightblue', shape='star', size=10)\n",
+    "        # nt.add_node(clean_name, label=clean_name, color='lightblue', shape='dot', size=10)\n",
+    "        # nt.add_edge(clean_name, product, color=color, title=flux, arrowStrikethrough=False)\n",
+    "\n",
+    "        G.add_edge(clean_name, product, color=color, title=flux)"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:57.216308Z",
-     "start_time": "2023-08-01T20:09:57.210717Z"
+     "end_time": "2023-08-02T21:05:10.389088Z",
+     "start_time": "2023-08-02T21:05:10.358336Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 568,
    "outputs": [],
    "source": [
     "# Not currently used in this analysis but can be useful later\n",
@@ -207,35 +261,17 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:57.230824Z",
-     "start_time": "2023-08-01T20:09:57.224123Z"
+     "end_time": "2023-08-02T21:05:10.427625Z",
+     "start_time": "2023-08-02T21:05:10.396527Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Warning: When  cdn_resources is 'local' jupyter notebook has issues displaying graphics on chrome/safari. Use cdn_resources='in_line' or cdn_resources='remote' if you have issues viewing graphics in a notebook.\n",
-      "out/new_env_analysis/flux_visualization/Acetate_Transport_+_Metabolism_top20_network.html\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": "<IPython.lib.display.IFrame at 0x15cd8c2e0>",
-      "text/html": "\n        <iframe\n            width=\"2000px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/flux_visualization/Acetate_Transport_+_Metabolism_top20_network.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
-     },
-     "execution_count": 171,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": 569,
+   "outputs": [],
    "source": [
-    "k = 20\n",
+    "k = 30\n",
     "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
     "top_increase = [heatmap_df.iloc[i, 0] for i in range(k)]\n",
     "bottom_increase = [heatmap_df.iloc[i, 0] for i in range(-1, -1*k - 1, -1)]\n",
@@ -247,23 +283,112 @@
     "\n",
     "for reaction in top_increase:\n",
     "    row_num = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
-    "    plot_reaction(G, reaction, heatmap_df[env_name].loc[row_num], 'green')\n",
+    "    plot_reaction(G, reaction, math.log(heatmap_df[env_name].loc[row_num], 10), 'green')\n",
     "\n",
     "for reaction in bottom_increase:\n",
     "    row_num = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
-    "    plot_reaction(G, reaction, heatmap_df[env_name].loc[row_num], 'red')\n",
+    "    plot_reaction(G, reaction, math.log(heatmap_df[env_name].loc[row_num], 10), 'red')\n",
     "\n",
     "# nx.write_graphml(G, f'out/new_env_analysis/{env_name}_top10_graph.graphml')\n",
     "\n",
-    "nt = Network('1000px', '2000px', notebook=True)\n",
-    "nt.repulsion()\n",
+    "# nt = Network('1000px', '2000px', notebook=True, cdn_resources='in_line')\n",
+    "# nt.from_nx(G)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-02T21:05:12.536829Z",
+     "start_time": "2023-08-02T21:05:10.423840Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Graph Analysis using NetworkX"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 570,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Degree Centrality: [('2.8.1.6-RXN', 0.05844155844155845), ('CARBON-DIOXIDE[c]', 0.045454545454545456), ('NAD[c]', 0.045454545454545456), ('NADH[c]', 0.045454545454545456), ('ACETYL-COA[c]', 0.03896103896103896), ('PYFLAVOXRE-RXN', 0.03896103896103896), ('ENOYL-ACP-REDUCT-NADPH-RXN', 0.03896103896103896), ('CO-A[c]', 0.03246753246753247), ('NADPH[c]', 0.03246753246753247), ('NADP[c]', 0.03246753246753247), ('ACETALD-DEHYDROG-RXN', 0.03246753246753247), ('RXN-11484', 0.03246753246753247), ('RXN-11474', 0.03246753246753247), ('RXN-11479', 0.03246753246753247), ('ACETOACETYL-COA-TRANSFER-RXN', 0.025974025974025976), ('FLAVONADPREDUCT-RXN', 0.025974025974025976), ('PYRUVFORMLY-RXN', 0.025974025974025976), ('PRPPSYN-RXN', 0.025974025974025976), ('GART-RXN-10', 0.025974025974025976), ('RXN-7682', 0.025974025974025976), ('PYRNUTRANSHYDROGEN-RXN', 0.025974025974025976), ('GAPOXNPHOSPHN-RXN', 0.025974025974025976), ('GAP[c]', 0.025974025974025976), ('RXN-12588', 0.025974025974025976), ('RXN-11482', 0.025974025974025976), ('RXN-11476', 0.025974025974025976), ('DAPASYN-RXN', 0.025974025974025976), ('RXN-11475', 0.025974025974025976), ('FERREDOXIN--NAD+-REDUCTASE-RXN', 0.025974025974025976), ('RXN-11480', 0.025974025974025976), ('RXN-11478', 0.025974025974025976), ('RXN-8999', 0.025974025974025976), ('ACETYL-COA-ACETYLTRANSFER-RXN', 0.01948051948051948), ('GARTRANSFORMYL2-RXN', 0.01948051948051948), ('CPD-15318[c]', 0.01948051948051948), ('PEPCARBOXYKIN-RXN', 0.01948051948051948), ('XANTHINE[c]', 0.01948051948051948), ('INOSINATE-NUCLEOSIDASE-RXN', 0.01948051948051948), ('PHOSACETYLTRANS-RXN', 0.01948051948051948), ('DIHYDROXY-ACETONE-PHOSPHATE[c]', 0.01948051948051948), ('RXN0-313', 0.01948051948051948), ('F16ALDOLASE-RXN', 0.01948051948051948), ('RXN0-310', 0.01948051948051948), ('DEOXYADENPHOSPHOR-RXN', 0.01948051948051948), ('XANTHOSINEPHOSPHORY-RXN', 0.01948051948051948), ('3.2.2.10-RXN', 0.01948051948051948), ('ACP[c]', 0.01948051948051948), ('RXN-11483', 0.01948051948051948), ('S-ADENOSYLMETHIONINE[c]', 0.01948051948051948), ('MALONYL-ACP[c]', 0.01948051948051948), ('DETHIOBIOTIN-SYN-RXN', 0.01948051948051948), ('3-KETOBUTYRATE[c]', 0.012987012987012988), ('ACETOACETYL-COA[c]', 0.012987012987012988), ('ACET[c]', 0.012987012987012988), ('TRANS-RXN0-281', 0.012987012987012988), ('FUMHYDR-RXN', 0.012987012987012988), ('Oxidized-flavodoxins[c]', 0.012987012987012988), ('Reduced-flavodoxins[c]', 0.012987012987012988), ('PYRUVATE[c]', 0.012987012987012988), ('5-PHOSPHO-RIBOSYL-GLYCINEAMIDE[c]', 0.012987012987012988), ('FORMATE[c]', 0.012987012987012988), ('5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[c]', 0.012987012987012988), ('AMP[c]', 0.012987012987012988), ('PHOSPHO-ENOL-PYRUVATE[c]', 0.012987012987012988), ('TRANS-RXN0-561', 0.012987012987012988), ('HYPOXANTHINE[c]', 0.012987012987012988), ('2PGADEHYDRAT-RXN', 0.012987012987012988), ('2-PG[c]', 0.012987012987012988), ('3PGAREARR-RXN', 0.012987012987012988), ('G3P[c]', 0.012987012987012988), ('PHOSGLYPHOS-RXN', 0.012987012987012988), ('DPG[c]', 0.012987012987012988), ('ACETYL-P[c]', 0.012987012987012988), ('TRIOSEPISOMERIZATION-RXN', 0.012987012987012988), ('RIB5PISOM-RXN', 0.012987012987012988), ('ACETATEKIN-RXN', 0.012987012987012988), ('DIHYDROXYACETONE[c]', 0.012987012987012988), ('RXN0-7249', 0.012987012987012988), ('METHYL-MALONYL-COA[c]', 0.012987012987012988), ('METHYLMALONYL-COA-MUT-RXN', 0.012987012987012988), ('XANTHOSINE[c]', 0.012987012987012988), ('5-NUCLEOTID-RXN', 0.012987012987012988), ('CMP[c]', 0.012987012987012988), ('RXN-14026', 0.012987012987012988), ('RXN0-5038', 0.012987012987012988), ('NUCLEOSIDE-DIPHOSPHATASE-RXN', 0.012987012987012988), ('RIBOSE-5P[c]', 0.012987012987012988), ('TRANS-RXN-141A', 0.012987012987012988), ('ACONITATEDEHYDR-RXN', 0.012987012987012988), ('L-ALPHA-ALANINE[c]', 0.012987012987012988), ('Pimeloyl-ACPs[c]', 0.012987012987012988), ('8-AMINO-7-OXONONANOATE[c]', 0.012987012987012988), ('Unsulfurated-Sulfur-Acceptors[c]', 0.012987012987012988), ('Sulfurated-Sulfur-Acceptors[c]', 0.012987012987012988), ('Pimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('METOH[c]', 0.012987012987012988), ('Enoylpimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('3-hydroxypimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('RXN-11481', 0.012987012987012988), ('DETHIOBIOTIN[c]', 0.012987012987012988), ('Reduced-2Fe-2S-Ferredoxins[c]', 0.012987012987012988), ('Oxidized-2Fe-2S-Ferredoxins[c]', 0.012987012987012988), ('TRANS-RXN0-459', 0.012987012987012988), ('3-Ketoglutaryl-ACP-methyl-ester[c]', 0.012987012987012988), ('3-Hydroxyglutaryl-ACP-methyl-ester[c]', 0.012987012987012988), ('Malonyl-acp-methyl-ester[c]', 0.012987012987012988), ('DIAMINONONANOATE[c]', 0.012987012987012988), ('3-Ketopimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('Glutaryl-ACP-methyl-esters[c]', 0.012987012987012988), ('Enoylglutaryl-ACP-methyl-esters[c]', 0.012987012987012988), ('RXN-11477', 0.012987012987012988), ('3-KETOBUTYRATE[p]', 0.006493506493506494), ('FUM[c]', 0.006493506493506494), ('MAL[c]', 0.006493506493506494), ('PRPP[c]', 0.006493506493506494), ('THF[c]', 0.006493506493506494), ('10-FORMYL-THF[c]', 0.006493506493506494), ('OXALACETIC_ACID[c]', 0.006493506493506494), ('XANTHINE[p]', 0.006493506493506494), ('IMP[c]', 0.006493506493506494), ('RIBULOSE-5P[c]', 0.006493506493506494), ('ACETALD[c]', 0.006493506493506494), ('FRUCTOSE-6P[c]', 0.006493506493506494), ('FRUCTOSE-16-DIPHOSPHATE[c]', 0.006493506493506494), ('2-Hexadecenoyl-ACPs[c]', 0.006493506493506494), ('Palmitoyl-ACPs[c]', 0.006493506493506494), ('POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8[c]', 0.006493506493506494), ('POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8[c]', 0.006493506493506494), ('PROPIONYL-COA[c]', 0.006493506493506494), ('SUC-COA[c]', 0.006493506493506494), ('ADENINE[c]', 0.006493506493506494), ('DEOXY-D-RIBOSE-1-PHOSPHATE[c]', 0.006493506493506494), ('DEOXYADENOSINE[c]', 0.006493506493506494), ('RIBOSE-1P[c]', 0.006493506493506494), ('XANTHOSINE-5-PHOSPHATE[c]', 0.006493506493506494), ('CYTIDINE[c]', 0.006493506493506494), ('CAMP[c]', 0.006493506493506494), ('DADP[c]', 0.006493506493506494), ('DAMP[c]', 0.006493506493506494), ('CYTOSINE[c]', 0.006493506493506494), ('CO+2[p]', 0.006493506493506494), ('CO+2[c]', 0.006493506493506494), ('CIT[c]', 0.006493506493506494), ('CIS-ACONITATE[c]', 0.006493506493506494), ('CYS[c]', 0.006493506493506494), ('BIOTIN[c]', 0.006493506493506494), ('CH33ADO[c]', 0.006493506493506494), ('MET[c]', 0.006493506493506494), ('METOH[p]', 0.006493506493506494), ('S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]', 0.006493506493506494), ('ADENOSYL-HOMO-CYS[c]', 0.006493506493506494), ('DELTA3-ISOPENTENYL-PP[c]', 0.006493506493506494), ('FARNESYL-PP[c]', 0.006493506493506494), ('PPI[c]', 0.006493506493506494), ('UNDECAPRENYL-DIPHOSPHATE[c]', 0.006493506493506494)]\n",
+      "\n",
+      "Closeness Centrality: [('NADP[c]', 0.10201480762228425), ('NAD[c]', 0.09754689754689753), ('CO-A[c]', 0.08999201254326537), ('PYFLAVOXRE-RXN', 0.08818413729128013), ('ACETALD-DEHYDROG-RXN', 0.08477788306114485), ('RXN-7682', 0.0844155844155844), ('PYRNUTRANSHYDROGEN-RXN', 0.08299683509767543), ('FERREDOXIN--NAD+-REDUCTASE-RXN', 0.08128908128908127), ('XANTHINE[c]', 0.08031196810370957), ('ACETYL-COA-ACETYLTRANSFER-RXN', 0.07997265892002733), ('PHOSACETYLTRANS-RXN', 0.07997265892002733), ('PYRUVFORMLY-RXN', 0.0774637127578304), ('Oxidized-flavodoxins[c]', 0.07553822850189963), ('PYRUVATE[c]', 0.07553822850189963), ('2.8.1.6-RXN', 0.07539407157727768), ('ACETALD[c]', 0.07435958536875968), ('NADH[c]', 0.07384391309624953), ('CARBON-DIOXIDE[c]', 0.07356888921134731), ('ACETYL-COA[c]', 0.07248897891099726), ('TRANS-RXN0-561', 0.07147922280527584), ('Reduced-2Fe-2S-Ferredoxins[c]', 0.0704215570525731), ('RXN-11478', 0.06882664373953572), ('FORMATE[c]', 0.06880470972151786), ('GAPOXNPHOSPHN-RXN', 0.06835033478632095), ('RXN-11482', 0.06835033478632095), ('ACP[c]', 0.0683405970083879), ('DETHIOBIOTIN-SYN-RXN', 0.06788057303521221), ('GARTRANSFORMYL2-RXN', 0.06757843925985518), ('BIOTIN[c]', 0.06720725377441794), ('CH33ADO[c]', 0.06720725377441794), ('MET[c]', 0.06720725377441794), ('FLAVONADPREDUCT-RXN', 0.06650924832743015), ('Unsulfurated-Sulfur-Acceptors[c]', 0.06595407930967197), ('Oxidized-2Fe-2S-Ferredoxins[c]', 0.06595407930967197), ('ACETOACETYL-COA-TRANSFER-RXN', 0.06497778537252222), ('XANTHINE[p]', 0.06462201710135594), ('GAP[c]', 0.06168336990254798), ('Glutaryl-ACP-methyl-esters[c]', 0.06163259517393682), ('Pimeloyl-ACP-methyl-esters[c]', 0.061440891923007), ('RXN0-313', 0.061336254107338437), ('DETHIOBIOTIN[c]', 0.06049999005588592), ('5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[c]', 0.06036651095939633), ('Reduced-flavodoxins[c]', 0.05905305456874963), ('F16ALDOLASE-RXN', 0.059003159003159), ('RXN-11484', 0.05896491568133358), ('RXN-12588', 0.05896491568133358), ('ACET[c]', 0.058012472109388404), ('ACETOACETYL-COA[c]', 0.05784259664201099), ('RXN-11479', 0.05643784786641929), ('FRUCTOSE-6P[c]', 0.056388923576423576), ('TRIOSEPISOMERIZATION-RXN', 0.056388658830992616), ('RXN-11483', 0.0558001320713185), ('GART-RXN-10', 0.05480643758155719), ('FRUCTOSE-16-DIPHOSPHATE[c]', 0.054354515472376956), ('8-AMINO-7-OXONONANOATE[c]', 0.05345939581392896), ('L-ALPHA-ALANINE[c]', 0.053315105946684885), ('Sulfurated-Sulfur-Acceptors[c]', 0.05302885034428658), ('ACETATEKIN-RXN', 0.05239587998208687), ('DIHYDROXY-ACETONE-PHOSPHATE[c]', 0.052083002572000124), ('3-Ketopimeloyl-ACP-methyl-esters[c]', 0.05150781421967862), ('METOH[c]', 0.051494249080017825), ('Pimeloyl-ACPs[c]', 0.05110801229818047), ('10-FORMYL-THF[c]', 0.05093983107012423), ('5-PHOSPHO-RIBOSYL-GLYCINEAMIDE[c]', 0.04996530187369882), ('DAPASYN-RXN', 0.04925996696570262), ('RXN0-7249', 0.04851370851370851), ('TRANS-RXN0-459', 0.04793361194745278), ('ACETYL-P[c]', 0.04777085067290629), ('RXN-11480', 0.04771315640880858), ('S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]', 0.04599997051756416), ('DIHYDROXYACETONE[c]', 0.04550739189599821), ('DIAMINONONANOATE[c]', 0.04535762744717968), ('METOH[p]', 0.04494081867499589), ('3-hydroxypimeloyl-ACP-methyl-esters[c]', 0.044141333526808386), ('RXN-11481', 0.041067041067041066), ('Enoylpimeloyl-ACP-methyl-esters[c]', 0.038393093786679794), ('AMP[c]', 0.0270935960591133), ('PRPPSYN-RXN', 0.024446142093200916), ('PRPP[c]', 0.020229770229770228), ('ENOYL-ACP-REDUCT-NADPH-RXN', 0.01948051948051948), ('CPD-15318[c]', 0.017316017316017316), ('RXN-11476', 0.01674641148325359), ('3-Hydroxyglutaryl-ACP-methyl-ester[c]', 0.015392015392015393), ('Palmitoyl-ACPs[c]', 0.014842300556586271), ('POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8[c]', 0.014842300556586271), ('RXN-11474', 0.014842300556586271), ('RXN-11477', 0.01461038961038961), ('Enoylglutaryl-ACP-methyl-esters[c]', 0.01411631846414455), ('3-Ketoglutaryl-ACP-methyl-ester[c]', 0.013528138528138528), ('DEOXYADENPHOSPHOR-RXN', 0.012987012987012988), ('RXN-11475', 0.012987012987012988), ('RXN-8999', 0.012987012987012988), ('DEOXYADENOSINE[c]', 0.011688311688311687), ('Malonyl-acp-methyl-ester[c]', 0.011688311688311687), ('ADENOSYL-HOMO-CYS[c]', 0.011688311688311687), ('PPI[c]', 0.011688311688311687), ('UNDECAPRENYL-DIPHOSPHATE[c]', 0.011688311688311687), ('DPG[c]', 0.011544011544011544), ('PHOSGLYPHOS-RXN', 0.011363636363636364), ('G3P[c]', 0.011131725417439703), ('3PGAREARR-RXN', 0.01082251082251082), ('2-PG[c]', 0.010389610389610391), ('PROPIONYL-COA[c]', 0.010389610389610391), ('RIBOSE-1P[c]', 0.010389610389610391), ('2PGADEHYDRAT-RXN', 0.00974025974025974), ('RXN0-310', 0.00974025974025974), ('XANTHOSINEPHOSPHORY-RXN', 0.00974025974025974), ('3-KETOBUTYRATE[c]', 0.008658008658008658), ('MAL[c]', 0.008658008658008658), ('PHOSPHO-ENOL-PYRUVATE[c]', 0.008658008658008658), ('HYPOXANTHINE[c]', 0.008658008658008658), ('METHYL-MALONYL-COA[c]', 0.008658008658008658), ('XANTHOSINE[c]', 0.008658008658008658), ('CYTIDINE[c]', 0.008658008658008658), ('DAMP[c]', 0.008658008658008658), ('CYTOSINE[c]', 0.008658008658008658), ('RIBOSE-5P[c]', 0.008658008658008658), ('CO+2[c]', 0.008658008658008658), ('CIS-ACONITATE[c]', 0.008658008658008658), ('TRANS-RXN0-281', 0.006493506493506494), ('FUMHYDR-RXN', 0.006493506493506494), ('PEPCARBOXYKIN-RXN', 0.006493506493506494), ('INOSINATE-NUCLEOSIDASE-RXN', 0.006493506493506494), ('RIB5PISOM-RXN', 0.006493506493506494), ('METHYLMALONYL-COA-MUT-RXN', 0.006493506493506494), ('5-NUCLEOTID-RXN', 0.006493506493506494), ('RXN-14026', 0.006493506493506494), ('RXN0-5038', 0.006493506493506494), ('NUCLEOSIDE-DIPHOSPHATASE-RXN', 0.006493506493506494), ('3.2.2.10-RXN', 0.006493506493506494), ('TRANS-RXN-141A', 0.006493506493506494), ('ACONITATEDEHYDR-RXN', 0.006493506493506494), ('3-KETOBUTYRATE[p]', 0.0), ('FUM[c]', 0.0), ('NADPH[c]', 0.0), ('THF[c]', 0.0), ('OXALACETIC_ACID[c]', 0.0), ('IMP[c]', 0.0), ('RIBULOSE-5P[c]', 0.0), ('2-Hexadecenoyl-ACPs[c]', 0.0), ('POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8[c]', 0.0), ('SUC-COA[c]', 0.0), ('ADENINE[c]', 0.0), ('DEOXY-D-RIBOSE-1-PHOSPHATE[c]', 0.0), ('XANTHOSINE-5-PHOSPHATE[c]', 0.0), ('CMP[c]', 0.0), ('CAMP[c]', 0.0), ('DADP[c]', 0.0), ('CO+2[p]', 0.0), ('CIT[c]', 0.0), ('CYS[c]', 0.0), ('S-ADENOSYLMETHIONINE[c]', 0.0), ('MALONYL-ACP[c]', 0.0), ('DELTA3-ISOPENTENYL-PP[c]', 0.0), ('FARNESYL-PP[c]', 0.0)]\n",
+      "Average Clustering: 0.0\n",
+      "Transitivity: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "degree = nx.degree_centrality(G)\n",
+    "sort_degree = sorted(degree.items(), key=lambda x:x[1], reverse=True)\n",
+    "print(\"Degree Centrality: \"+ str(sort_degree) + \"\\n\")\n",
+    "\n",
+    "closeness = nx.closeness_centrality(G)\n",
+    "sort_closeness = sorted(closeness.items(), key=lambda x:x[1], reverse=True)\n",
+    "print(\"Closeness Centrality: \"+ str(sort_closeness))\n",
+    "\n",
+    "print(\"Average Clustering: \" + str(nx.average_clustering(G)))\n",
+    "print(\"Transitivity: \" + str(nx.transitivity(G)))"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-02T21:05:12.594798Z",
+     "start_time": "2023-08-02T21:05:12.572320Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 585,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "out/new_env_analysis/flux_visualization/Acetoacetate_Transport_top30_network.html\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.lib.display.IFrame at 0x15cdd9a00>",
+      "text/html": "\n        <iframe\n            width=\"3000px\"\n            height=\"3000px\"\n            src=\"out/new_env_analysis/flux_visualization/Acetoacetate_Transport_top30_network.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+     },
+     "execution_count": 585,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sort_closeness = sort_closeness[:8]\n",
+    "nt = Network('3000px', '3000px', notebook=True, cdn_resources='in_line', directed=True)\n",
     "nt.from_nx(G)\n",
-    "# for e in nt.edges:\n",
-    "#     e['value'] = e['width']\n",
+    "nt.repulsion()\n",
+    "\n",
+    "for tup in sort_closeness:\n",
+    "    nt.get_node(tup[0])['color'] = 'blue'\n",
+    "\n",
+    "for n in nt.nodes:\n",
+    "    if n['label'] in metabolites_idx:\n",
+    "        n['shape'] = 'star'\n",
+    "    if n['label'] in important_add:\n",
+    "        n['color'] = 'orange'\n",
+    "    if n['label'] in important_remove:\n",
+    "        n['color'] = 'purple'\n",
     "\n",
-    "# nt.toggle_physics(True)\n",
-    "nt.show(f'out/new_env_analysis/flux_visualization/{env_name}_top20_network.html')\n",
     "\n",
+    "nt.toggle_physics(True)\n",
+    "nt.show_buttons(filter_=['physics'])\n",
+    "nt.show(f'out/new_env_analysis/flux_visualization/{env_name}_top{k}_network.html')\n",
     "\n",
     "# plt.figure(figsize=(25, 25))\n",
     "# nx.draw_spring(G, with_labels=True, font_size=10, node_size=1000, node_color='lightblue', edge_color='black', width=1.5)\n",
@@ -273,21 +398,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:58.334193Z",
-     "start_time": "2023-08-01T20:09:57.235174Z"
+     "end_time": "2023-08-02T21:13:00.892269Z",
+     "start_time": "2023-08-02T21:13:00.708692Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 571,
    "outputs": [],
    "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-01T20:09:58.341764Z",
-     "start_time": "2023-08-01T20:09:58.336713Z"
+     "end_time": "2023-08-02T21:05:12.788133Z",
+     "start_time": "2023-08-02T21:05:12.774538Z"
     }
    }
   }

From 2568e48f5255745eab8a9868d7d356ccfcdfe368 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 4 Aug 2023 11:12:38 -0700
Subject: [PATCH 53/58] Added visualization of metabolic networks based on
 specific metabolites and its lower order connections

---
 .../flux_visualization.ipynb                  | 114 +++---
 .../metabolite_visualization.ipynb            | 375 ++++++++++++++++++
 2 files changed, 420 insertions(+), 69 deletions(-)
 create mode 100644 ecoli/experiments/new_environments_test/metabolite_visualization.ipynb

diff --git a/ecoli/experiments/new_environments_test/flux_visualization.ipynb b/ecoli/experiments/new_environments_test/flux_visualization.ipynb
index 2cbc7c809..928989c17 100644
--- a/ecoli/experiments/new_environments_test/flux_visualization.ipynb
+++ b/ecoli/experiments/new_environments_test/flux_visualization.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 561,
+   "execution_count": 586,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:04:37.266827Z",
-     "start_time": "2023-08-02T21:04:37.213764Z"
+     "end_time": "2023-08-03T00:33:31.735361Z",
+     "start_time": "2023-08-03T00:33:30.987501Z"
     }
    },
    "outputs": [],
@@ -38,23 +38,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 562,
+   "execution_count": 587,
    "outputs": [],
    "source": [
     "# Change the environment name here\n",
-    "env_name = 'Acetoacetate_Transport'"
+    "env_name = 'Hydrogen_fumarate_-O2_Glc'"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:04:37.316318Z",
-     "start_time": "2023-08-02T21:04:37.221690Z"
+     "end_time": "2023-08-03T00:33:31.740490Z",
+     "start_time": "2023-08-03T00:33:31.055939Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 563,
+   "execution_count": 588,
    "outputs": [],
    "source": [
     "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
@@ -68,14 +68,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:04:37.371871Z",
-     "start_time": "2023-08-02T21:04:37.232200Z"
+     "end_time": "2023-08-03T00:33:31.807191Z",
+     "start_time": "2023-08-03T00:33:31.151740Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 564,
+   "execution_count": 589,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -112,37 +112,29 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:04:53.375420Z",
-     "start_time": "2023-08-02T21:04:37.312184Z"
+     "end_time": "2023-08-03T00:33:43.697106Z",
+     "start_time": "2023-08-03T00:33:31.466493Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 574,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "yes!\n"
-     ]
-    }
-   ],
+   "execution_count": 590,
+   "outputs": [],
    "source": [
     "homeostatic = pd.DataFrame(fba[\"target_homeostatic_dmdt\"], columns=metabolism.homeostatic_metabolites).loc[24, :]"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:06:04.258636Z",
-     "start_time": "2023-08-02T21:06:04.238559Z"
+     "end_time": "2023-08-03T00:33:43.716645Z",
+     "start_time": "2023-08-03T00:33:43.708629Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 566,
+   "execution_count": 591,
    "outputs": [],
    "source": [
     "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
@@ -151,8 +143,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:05:10.368495Z",
-     "start_time": "2023-08-02T21:04:53.381657Z"
+     "end_time": "2023-08-03T00:33:56.791162Z",
+     "start_time": "2023-08-03T00:33:43.724032Z"
     }
    }
   },
@@ -167,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 567,
+   "execution_count": 592,
    "outputs": [],
    "source": [
     "G = nx.DiGraph()\n",
@@ -181,21 +173,6 @@
     "for met in met_not_include:\n",
     "    do_not_include.append(metabolites_idx[met])\n",
     "\n",
-    "def plot_metabolite(G, metabolite):\n",
-    "    index = metabolites_idx[metabolite]\n",
-    "    for k in range(reaction_length):\n",
-    "        if stoichiometry[index, k] > 0:\n",
-    "            for l in range(met_length):\n",
-    "                if stoichiometry[l, k] < 0:\n",
-    "                    if l != index and l not in do_not_include:\n",
-    "                        G.add_edge(index_to_met[l], metabolite) # Add weight here equal to reaction flux\n",
-    "        elif stoichiometry[index, k] < 0:\n",
-    "            for l in range(met_length):\n",
-    "                if stoichiometry[l, k] > 0:\n",
-    "                    if l != index and l not in do_not_include:\n",
-    "                        G.add_edge(index_to_met[l], metabolite) # Add weight here equal to reaction flux\n",
-    "\n",
-    "\n",
     "def plot_reaction(G, reaction, flux, color):\n",
     "    index = reaction_idx[reaction]\n",
     "    reactants = []\n",
@@ -224,14 +201,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:05:10.389088Z",
-     "start_time": "2023-08-02T21:05:10.358336Z"
+     "end_time": "2023-08-03T00:33:56.823990Z",
+     "start_time": "2023-08-03T00:33:56.792026Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 568,
+   "execution_count": 593,
    "outputs": [],
    "source": [
     "# Not currently used in this analysis but can be useful later\n",
@@ -261,14 +238,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:05:10.427625Z",
-     "start_time": "2023-08-02T21:05:10.396527Z"
+     "end_time": "2023-08-03T00:33:56.865064Z",
+     "start_time": "2023-08-03T00:33:56.830643Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 569,
+   "execution_count": 594,
    "outputs": [],
    "source": [
     "k = 30\n",
@@ -297,8 +274,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:05:12.536829Z",
-     "start_time": "2023-08-02T21:05:10.423840Z"
+     "end_time": "2023-08-03T00:34:01.851567Z",
+     "start_time": "2023-08-03T00:33:56.857635Z"
     }
    }
   },
@@ -313,15 +290,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 570,
+   "execution_count": 595,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degree Centrality: [('2.8.1.6-RXN', 0.05844155844155845), ('CARBON-DIOXIDE[c]', 0.045454545454545456), ('NAD[c]', 0.045454545454545456), ('NADH[c]', 0.045454545454545456), ('ACETYL-COA[c]', 0.03896103896103896), ('PYFLAVOXRE-RXN', 0.03896103896103896), ('ENOYL-ACP-REDUCT-NADPH-RXN', 0.03896103896103896), ('CO-A[c]', 0.03246753246753247), ('NADPH[c]', 0.03246753246753247), ('NADP[c]', 0.03246753246753247), ('ACETALD-DEHYDROG-RXN', 0.03246753246753247), ('RXN-11484', 0.03246753246753247), ('RXN-11474', 0.03246753246753247), ('RXN-11479', 0.03246753246753247), ('ACETOACETYL-COA-TRANSFER-RXN', 0.025974025974025976), ('FLAVONADPREDUCT-RXN', 0.025974025974025976), ('PYRUVFORMLY-RXN', 0.025974025974025976), ('PRPPSYN-RXN', 0.025974025974025976), ('GART-RXN-10', 0.025974025974025976), ('RXN-7682', 0.025974025974025976), ('PYRNUTRANSHYDROGEN-RXN', 0.025974025974025976), ('GAPOXNPHOSPHN-RXN', 0.025974025974025976), ('GAP[c]', 0.025974025974025976), ('RXN-12588', 0.025974025974025976), ('RXN-11482', 0.025974025974025976), ('RXN-11476', 0.025974025974025976), ('DAPASYN-RXN', 0.025974025974025976), ('RXN-11475', 0.025974025974025976), ('FERREDOXIN--NAD+-REDUCTASE-RXN', 0.025974025974025976), ('RXN-11480', 0.025974025974025976), ('RXN-11478', 0.025974025974025976), ('RXN-8999', 0.025974025974025976), ('ACETYL-COA-ACETYLTRANSFER-RXN', 0.01948051948051948), ('GARTRANSFORMYL2-RXN', 0.01948051948051948), ('CPD-15318[c]', 0.01948051948051948), ('PEPCARBOXYKIN-RXN', 0.01948051948051948), ('XANTHINE[c]', 0.01948051948051948), ('INOSINATE-NUCLEOSIDASE-RXN', 0.01948051948051948), ('PHOSACETYLTRANS-RXN', 0.01948051948051948), ('DIHYDROXY-ACETONE-PHOSPHATE[c]', 0.01948051948051948), ('RXN0-313', 0.01948051948051948), ('F16ALDOLASE-RXN', 0.01948051948051948), ('RXN0-310', 0.01948051948051948), ('DEOXYADENPHOSPHOR-RXN', 0.01948051948051948), ('XANTHOSINEPHOSPHORY-RXN', 0.01948051948051948), ('3.2.2.10-RXN', 0.01948051948051948), ('ACP[c]', 0.01948051948051948), ('RXN-11483', 0.01948051948051948), ('S-ADENOSYLMETHIONINE[c]', 0.01948051948051948), ('MALONYL-ACP[c]', 0.01948051948051948), ('DETHIOBIOTIN-SYN-RXN', 0.01948051948051948), ('3-KETOBUTYRATE[c]', 0.012987012987012988), ('ACETOACETYL-COA[c]', 0.012987012987012988), ('ACET[c]', 0.012987012987012988), ('TRANS-RXN0-281', 0.012987012987012988), ('FUMHYDR-RXN', 0.012987012987012988), ('Oxidized-flavodoxins[c]', 0.012987012987012988), ('Reduced-flavodoxins[c]', 0.012987012987012988), ('PYRUVATE[c]', 0.012987012987012988), ('5-PHOSPHO-RIBOSYL-GLYCINEAMIDE[c]', 0.012987012987012988), ('FORMATE[c]', 0.012987012987012988), ('5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[c]', 0.012987012987012988), ('AMP[c]', 0.012987012987012988), ('PHOSPHO-ENOL-PYRUVATE[c]', 0.012987012987012988), ('TRANS-RXN0-561', 0.012987012987012988), ('HYPOXANTHINE[c]', 0.012987012987012988), ('2PGADEHYDRAT-RXN', 0.012987012987012988), ('2-PG[c]', 0.012987012987012988), ('3PGAREARR-RXN', 0.012987012987012988), ('G3P[c]', 0.012987012987012988), ('PHOSGLYPHOS-RXN', 0.012987012987012988), ('DPG[c]', 0.012987012987012988), ('ACETYL-P[c]', 0.012987012987012988), ('TRIOSEPISOMERIZATION-RXN', 0.012987012987012988), ('RIB5PISOM-RXN', 0.012987012987012988), ('ACETATEKIN-RXN', 0.012987012987012988), ('DIHYDROXYACETONE[c]', 0.012987012987012988), ('RXN0-7249', 0.012987012987012988), ('METHYL-MALONYL-COA[c]', 0.012987012987012988), ('METHYLMALONYL-COA-MUT-RXN', 0.012987012987012988), ('XANTHOSINE[c]', 0.012987012987012988), ('5-NUCLEOTID-RXN', 0.012987012987012988), ('CMP[c]', 0.012987012987012988), ('RXN-14026', 0.012987012987012988), ('RXN0-5038', 0.012987012987012988), ('NUCLEOSIDE-DIPHOSPHATASE-RXN', 0.012987012987012988), ('RIBOSE-5P[c]', 0.012987012987012988), ('TRANS-RXN-141A', 0.012987012987012988), ('ACONITATEDEHYDR-RXN', 0.012987012987012988), ('L-ALPHA-ALANINE[c]', 0.012987012987012988), ('Pimeloyl-ACPs[c]', 0.012987012987012988), ('8-AMINO-7-OXONONANOATE[c]', 0.012987012987012988), ('Unsulfurated-Sulfur-Acceptors[c]', 0.012987012987012988), ('Sulfurated-Sulfur-Acceptors[c]', 0.012987012987012988), ('Pimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('METOH[c]', 0.012987012987012988), ('Enoylpimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('3-hydroxypimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('RXN-11481', 0.012987012987012988), ('DETHIOBIOTIN[c]', 0.012987012987012988), ('Reduced-2Fe-2S-Ferredoxins[c]', 0.012987012987012988), ('Oxidized-2Fe-2S-Ferredoxins[c]', 0.012987012987012988), ('TRANS-RXN0-459', 0.012987012987012988), ('3-Ketoglutaryl-ACP-methyl-ester[c]', 0.012987012987012988), ('3-Hydroxyglutaryl-ACP-methyl-ester[c]', 0.012987012987012988), ('Malonyl-acp-methyl-ester[c]', 0.012987012987012988), ('DIAMINONONANOATE[c]', 0.012987012987012988), ('3-Ketopimeloyl-ACP-methyl-esters[c]', 0.012987012987012988), ('Glutaryl-ACP-methyl-esters[c]', 0.012987012987012988), ('Enoylglutaryl-ACP-methyl-esters[c]', 0.012987012987012988), ('RXN-11477', 0.012987012987012988), ('3-KETOBUTYRATE[p]', 0.006493506493506494), ('FUM[c]', 0.006493506493506494), ('MAL[c]', 0.006493506493506494), ('PRPP[c]', 0.006493506493506494), ('THF[c]', 0.006493506493506494), ('10-FORMYL-THF[c]', 0.006493506493506494), ('OXALACETIC_ACID[c]', 0.006493506493506494), ('XANTHINE[p]', 0.006493506493506494), ('IMP[c]', 0.006493506493506494), ('RIBULOSE-5P[c]', 0.006493506493506494), ('ACETALD[c]', 0.006493506493506494), ('FRUCTOSE-6P[c]', 0.006493506493506494), ('FRUCTOSE-16-DIPHOSPHATE[c]', 0.006493506493506494), ('2-Hexadecenoyl-ACPs[c]', 0.006493506493506494), ('Palmitoyl-ACPs[c]', 0.006493506493506494), ('POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8[c]', 0.006493506493506494), ('POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8[c]', 0.006493506493506494), ('PROPIONYL-COA[c]', 0.006493506493506494), ('SUC-COA[c]', 0.006493506493506494), ('ADENINE[c]', 0.006493506493506494), ('DEOXY-D-RIBOSE-1-PHOSPHATE[c]', 0.006493506493506494), ('DEOXYADENOSINE[c]', 0.006493506493506494), ('RIBOSE-1P[c]', 0.006493506493506494), ('XANTHOSINE-5-PHOSPHATE[c]', 0.006493506493506494), ('CYTIDINE[c]', 0.006493506493506494), ('CAMP[c]', 0.006493506493506494), ('DADP[c]', 0.006493506493506494), ('DAMP[c]', 0.006493506493506494), ('CYTOSINE[c]', 0.006493506493506494), ('CO+2[p]', 0.006493506493506494), ('CO+2[c]', 0.006493506493506494), ('CIT[c]', 0.006493506493506494), ('CIS-ACONITATE[c]', 0.006493506493506494), ('CYS[c]', 0.006493506493506494), ('BIOTIN[c]', 0.006493506493506494), ('CH33ADO[c]', 0.006493506493506494), ('MET[c]', 0.006493506493506494), ('METOH[p]', 0.006493506493506494), ('S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]', 0.006493506493506494), ('ADENOSYL-HOMO-CYS[c]', 0.006493506493506494), ('DELTA3-ISOPENTENYL-PP[c]', 0.006493506493506494), ('FARNESYL-PP[c]', 0.006493506493506494), ('PPI[c]', 0.006493506493506494), ('UNDECAPRENYL-DIPHOSPHATE[c]', 0.006493506493506494)]\n",
+      "Degree Centrality: [('R15-RXN', 0.06622516556291391), ('PYRUVATE[c]', 0.046357615894039736), ('PYFLAVOXRE-RXN', 0.039735099337748346), ('CARBON-DIOXIDE[c]', 0.039735099337748346), ('ACETYL-COA[c]', 0.033112582781456956), ('NADH[c]', 0.033112582781456956), ('NAD[c]', 0.033112582781456956), ('MALIC-NADP-RXN', 0.033112582781456956), ('GAP[c]', 0.033112582781456956), ('ACETALD-DEHYDROG-RXN', 0.033112582781456956), ('FUM[c]', 0.026490066225165563), ('R601-RXN', 0.026490066225165563), ('TRANS-RXN-106', 0.026490066225165563), ('FORMATE[c]', 0.026490066225165563), ('CO-A[c]', 0.026490066225165563), ('PYRUVFORMLY-RXN', 0.026490066225165563), ('NADPH[c]', 0.026490066225165563), ('FLAVONADPREDUCT-RXN', 0.026490066225165563), ('NADP[c]', 0.026490066225165563), ('MALATE-DEH-RXN', 0.026490066225165563), ('GAPOXNPHOSPHN-RXN', 0.026490066225165563), ('DIHYDROOROTATE-DEHYDROGENASE-RXN', 0.026490066225165563), ('THIOREDOXIN-REDUCT-NADPH-RXN', 0.026490066225165563), ('RXN0-5055', 0.026490066225165563), ('DXS-RXN', 0.026490066225165563), ('GTP-CYCLOHYDRO-II-RXN', 0.026490066225165563), ('RIBOFLAVINSYNREDUC-RXN', 0.026490066225165563), ('GLUC1PURIDYLTRANS-RXN', 0.026490066225165563), ('DHBDEHYD-RXN', 0.026490066225165563), ('GLYCOLALD-DEHYDROG-RXN', 0.026490066225165563), ('REDUCED-MENAQUINONE[i]', 0.019867549668874173), ('CPD-9728[i]', 0.019867549668874173), ('SUC[c]', 0.019867549668874173), ('RXN0-5256', 0.019867549668874173), ('PEPCARBOXYKIN-RXN', 0.019867549668874173), ('PHOSPHO-ENOL-PYRUVATE[c]', 0.019867549668874173), ('MAL[c]', 0.019867549668874173), ('ISOCIT-CLEAV-RXN', 0.019867549668874173), ('DIHYDROXY-ACETONE-PHOSPHATE[c]', 0.019867549668874173), ('RXN0-313', 0.019867549668874173), ('F16ALDOLASE-RXN', 0.019867549668874173), ('DAHPSYN-RXN', 0.019867549668874173), ('BIOTIN-CARBOXYL-RXN', 0.019867549668874173), ('RXN0-310', 0.019867549668874173), ('3.2.2.10-RXN', 0.019867549668874173), ('ACETYL-COA-ACETYLTRANSFER-RXN', 0.019867549668874173), ('RIBOFLAVIN-SYN-RXN', 0.019867549668874173), ('AMINO-RIBOSYLAMINO-1H-3H-PYR-DIONE[c]', 0.019867549668874173), ('RIBOFLAVINSYNDEAM-RXN', 0.019867549668874173), ('CHORPYRLY-RXN', 0.019867549668874173), ('LUMAZINESYN-RXN', 0.019867549668874173), ('DIOHBUTANONEPSYN-RXN', 0.019867549668874173), ('ISOCHORMAT-RXN', 0.019867549668874173), ('FUM[p]', 0.013245033112582781), ('TRANS-RXN-1', 0.013245033112582781), ('Reduced-flavodoxins[c]', 0.013245033112582781), ('Oxidized-flavodoxins[c]', 0.013245033112582781), ('TRANS-RXN0-517', 0.013245033112582781), ('OXALACETIC_ACID[c]', 0.013245033112582781), ('2PGADEHYDRAT-RXN', 0.013245033112582781), ('2-PG[c]', 0.013245033112582781), ('3PGAREARR-RXN', 0.013245033112582781), ('G3P[c]', 0.013245033112582781), ('FUMHYDR-RXN', 0.013245033112582781), ('GLYOX[c]', 0.013245033112582781), ('THREO-DS-ISO-CITRATE[c]', 0.013245033112582781), ('CPD-479[c]', 0.013245033112582781), ('MET[c]', 0.013245033112582781), ('PHOSGLYPHOS-RXN', 0.013245033112582781), ('DPG[c]', 0.013245033112582781), ('TRIOSEPISOMERIZATION-RXN', 0.013245033112582781), ('RXN0-7249', 0.013245033112582781), ('DIHYDROXYACETONE[c]', 0.013245033112582781), ('FRUCTOSE-6P[c]', 0.013245033112582781), ('FRUCTOSE-16-DIPHOSPHATE[c]', 0.013245033112582781), ('F16BDEPHOS-RXN', 0.013245033112582781), ('TRANS-RXN0-474', 0.013245033112582781), ('OXYGEN-MOLECULE[c]', 0.013245033112582781), ('biotin-L-lysine-in-BCCP-dimers[c]', 0.013245033112582781), ('carboxybiotin-L-lysine-in-BCCP-dimers[c]', 0.013245033112582781), ('METHYLMALONYL-COA-MUT-RXN', 0.013245033112582781), ('METHYL-MALONYL-COA[c]', 0.013245033112582781), ('CMP[c]', 0.013245033112582781), ('RXN-14026', 0.013245033112582781), ('NUCLEOSIDE-DIPHOSPHATASE-RXN', 0.013245033112582781), ('TRANS-RXN-141A', 0.013245033112582781), ('RXN0-5038', 0.013245033112582781), ('ACONITATEHYDR-RXN', 0.013245033112582781), ('RIBOFLAVIN[c]', 0.013245033112582781), ('RIBOFLAVINKIN-RXN', 0.013245033112582781), ('RXN0-5185', 0.013245033112582781), ('DIMETHYL-D-RIBITYL-LUMAZINE[c]', 0.013245033112582781), ('CPD-1086[c]', 0.013245033112582781), ('RIBOPHOSPHAT-RXN', 0.013245033112582781), ('DIAMINO-OH-PHOSPHORIBOSYLAMINO-PYR[c]', 0.013245033112582781), ('PPI[c]', 0.013245033112582781), ('CPD-602[c]', 0.013245033112582781), ('CATAL-RXN', 0.013245033112582781), ('GMKALT-RXN', 0.013245033112582781), ('TRANS-RXN0-545', 0.013245033112582781), ('DIHYDROXY-BUTANONE-P[c]', 0.013245033112582781), ('DIHYDRO-DIOH-BENZOATE[c]', 0.013245033112582781), ('HYDROGEN-MOLECULE[p]', 0.006622516556291391), ('SUC[p]', 0.006622516556291391), ('FORMATE[p]', 0.006622516556291391), ('GLY[c]', 0.006622516556291391), ('2-KETOGLUTARATE[c]', 0.006622516556291391), ('GLT[c]', 0.006622516556291391), ('ACETALD[c]', 0.006622516556291391), ('L-ALPHA-ALANINE[c]', 0.006622516556291391), ('DI-H-OROTATE[c]', 0.006622516556291391), ('OROTATE[c]', 0.006622516556291391), ('ERYTHROSE-4P[c]', 0.006622516556291391), ('3-DEOXY-D-ARABINO-HEPTULOSONATE-7-P[c]', 0.006622516556291391), ('Oxidized-CcmH-Proteins[c]', 0.006622516556291391), ('Reduced-CcmH-Proteins[c]', 0.006622516556291391), ('OXYGEN-MOLECULE[p]', 0.006622516556291391), ('HCO3[c]', 0.006622516556291391), ('MALONYL-COA[c]', 0.006622516556291391), ('SUC-COA[c]', 0.006622516556291391), ('PROPIONYL-COA[c]', 0.006622516556291391), ('CYTIDINE[c]', 0.006622516556291391), ('CYTOSINE[c]', 0.006622516556291391), ('RIBOSE-5P[c]', 0.006622516556291391), ('DADP[c]', 0.006622516556291391), ('DAMP[c]', 0.006622516556291391), ('CO+2[p]', 0.006622516556291391), ('CO+2[c]', 0.006622516556291391), ('CAMP[c]', 0.006622516556291391), ('AMP[c]', 0.006622516556291391), ('DEOXYXYLULOSE-5P[c]', 0.006622516556291391), ('CIS-ACONITATE[c]', 0.006622516556291391), ('ACETOACETYL-COA[c]', 0.006622516556291391), ('FMN[c]', 0.006622516556291391), ('CPD-2961[c]', 0.006622516556291391), ('GLUCONATE[c]', 0.006622516556291391), ('GTP[c]', 0.006622516556291391), ('AMMONIUM[c]', 0.006622516556291391), ('HYDROGEN-PEROXIDE[c]', 0.006622516556291391), ('CHORISMATE[c]', 0.006622516556291391), ('4-hydroxybenzoate[c]', 0.006622516556291391), ('DGDP[c]', 0.006622516556291391), ('DGMP[c]', 0.006622516556291391), ('CARBON-DIOXIDE[p]', 0.006622516556291391), ('GLC-1-P[c]', 0.006622516556291391), ('UTP[c]', 0.006622516556291391), ('CPD-12575[c]', 0.006622516556291391), ('RIBULOSE-5P[c]', 0.006622516556291391), ('2-3-DIHYDROXYBENZOATE[c]', 0.006622516556291391), ('ISOCHORISMATE[c]', 0.006622516556291391), ('GLYCOLALDEHYDE[c]', 0.006622516556291391), ('GLYCOLLATE[c]', 0.006622516556291391)]\n",
       "\n",
-      "Closeness Centrality: [('NADP[c]', 0.10201480762228425), ('NAD[c]', 0.09754689754689753), ('CO-A[c]', 0.08999201254326537), ('PYFLAVOXRE-RXN', 0.08818413729128013), ('ACETALD-DEHYDROG-RXN', 0.08477788306114485), ('RXN-7682', 0.0844155844155844), ('PYRNUTRANSHYDROGEN-RXN', 0.08299683509767543), ('FERREDOXIN--NAD+-REDUCTASE-RXN', 0.08128908128908127), ('XANTHINE[c]', 0.08031196810370957), ('ACETYL-COA-ACETYLTRANSFER-RXN', 0.07997265892002733), ('PHOSACETYLTRANS-RXN', 0.07997265892002733), ('PYRUVFORMLY-RXN', 0.0774637127578304), ('Oxidized-flavodoxins[c]', 0.07553822850189963), ('PYRUVATE[c]', 0.07553822850189963), ('2.8.1.6-RXN', 0.07539407157727768), ('ACETALD[c]', 0.07435958536875968), ('NADH[c]', 0.07384391309624953), ('CARBON-DIOXIDE[c]', 0.07356888921134731), ('ACETYL-COA[c]', 0.07248897891099726), ('TRANS-RXN0-561', 0.07147922280527584), ('Reduced-2Fe-2S-Ferredoxins[c]', 0.0704215570525731), ('RXN-11478', 0.06882664373953572), ('FORMATE[c]', 0.06880470972151786), ('GAPOXNPHOSPHN-RXN', 0.06835033478632095), ('RXN-11482', 0.06835033478632095), ('ACP[c]', 0.0683405970083879), ('DETHIOBIOTIN-SYN-RXN', 0.06788057303521221), ('GARTRANSFORMYL2-RXN', 0.06757843925985518), ('BIOTIN[c]', 0.06720725377441794), ('CH33ADO[c]', 0.06720725377441794), ('MET[c]', 0.06720725377441794), ('FLAVONADPREDUCT-RXN', 0.06650924832743015), ('Unsulfurated-Sulfur-Acceptors[c]', 0.06595407930967197), ('Oxidized-2Fe-2S-Ferredoxins[c]', 0.06595407930967197), ('ACETOACETYL-COA-TRANSFER-RXN', 0.06497778537252222), ('XANTHINE[p]', 0.06462201710135594), ('GAP[c]', 0.06168336990254798), ('Glutaryl-ACP-methyl-esters[c]', 0.06163259517393682), ('Pimeloyl-ACP-methyl-esters[c]', 0.061440891923007), ('RXN0-313', 0.061336254107338437), ('DETHIOBIOTIN[c]', 0.06049999005588592), ('5-P-RIBOSYL-N-FORMYLGLYCINEAMIDE[c]', 0.06036651095939633), ('Reduced-flavodoxins[c]', 0.05905305456874963), ('F16ALDOLASE-RXN', 0.059003159003159), ('RXN-11484', 0.05896491568133358), ('RXN-12588', 0.05896491568133358), ('ACET[c]', 0.058012472109388404), ('ACETOACETYL-COA[c]', 0.05784259664201099), ('RXN-11479', 0.05643784786641929), ('FRUCTOSE-6P[c]', 0.056388923576423576), ('TRIOSEPISOMERIZATION-RXN', 0.056388658830992616), ('RXN-11483', 0.0558001320713185), ('GART-RXN-10', 0.05480643758155719), ('FRUCTOSE-16-DIPHOSPHATE[c]', 0.054354515472376956), ('8-AMINO-7-OXONONANOATE[c]', 0.05345939581392896), ('L-ALPHA-ALANINE[c]', 0.053315105946684885), ('Sulfurated-Sulfur-Acceptors[c]', 0.05302885034428658), ('ACETATEKIN-RXN', 0.05239587998208687), ('DIHYDROXY-ACETONE-PHOSPHATE[c]', 0.052083002572000124), ('3-Ketopimeloyl-ACP-methyl-esters[c]', 0.05150781421967862), ('METOH[c]', 0.051494249080017825), ('Pimeloyl-ACPs[c]', 0.05110801229818047), ('10-FORMYL-THF[c]', 0.05093983107012423), ('5-PHOSPHO-RIBOSYL-GLYCINEAMIDE[c]', 0.04996530187369882), ('DAPASYN-RXN', 0.04925996696570262), ('RXN0-7249', 0.04851370851370851), ('TRANS-RXN0-459', 0.04793361194745278), ('ACETYL-P[c]', 0.04777085067290629), ('RXN-11480', 0.04771315640880858), ('S-ADENOSYL-4-METHYLTHIO-2-OXOBUTANOATE[c]', 0.04599997051756416), ('DIHYDROXYACETONE[c]', 0.04550739189599821), ('DIAMINONONANOATE[c]', 0.04535762744717968), ('METOH[p]', 0.04494081867499589), ('3-hydroxypimeloyl-ACP-methyl-esters[c]', 0.044141333526808386), ('RXN-11481', 0.041067041067041066), ('Enoylpimeloyl-ACP-methyl-esters[c]', 0.038393093786679794), ('AMP[c]', 0.0270935960591133), ('PRPPSYN-RXN', 0.024446142093200916), ('PRPP[c]', 0.020229770229770228), ('ENOYL-ACP-REDUCT-NADPH-RXN', 0.01948051948051948), ('CPD-15318[c]', 0.017316017316017316), ('RXN-11476', 0.01674641148325359), ('3-Hydroxyglutaryl-ACP-methyl-ester[c]', 0.015392015392015393), ('Palmitoyl-ACPs[c]', 0.014842300556586271), ('POLYMER-INST-Saturated-Fatty-Acyl-ACPs-C4-H8[c]', 0.014842300556586271), ('RXN-11474', 0.014842300556586271), ('RXN-11477', 0.01461038961038961), ('Enoylglutaryl-ACP-methyl-esters[c]', 0.01411631846414455), ('3-Ketoglutaryl-ACP-methyl-ester[c]', 0.013528138528138528), ('DEOXYADENPHOSPHOR-RXN', 0.012987012987012988), ('RXN-11475', 0.012987012987012988), ('RXN-8999', 0.012987012987012988), ('DEOXYADENOSINE[c]', 0.011688311688311687), ('Malonyl-acp-methyl-ester[c]', 0.011688311688311687), ('ADENOSYL-HOMO-CYS[c]', 0.011688311688311687), ('PPI[c]', 0.011688311688311687), ('UNDECAPRENYL-DIPHOSPHATE[c]', 0.011688311688311687), ('DPG[c]', 0.011544011544011544), ('PHOSGLYPHOS-RXN', 0.011363636363636364), ('G3P[c]', 0.011131725417439703), ('3PGAREARR-RXN', 0.01082251082251082), ('2-PG[c]', 0.010389610389610391), ('PROPIONYL-COA[c]', 0.010389610389610391), ('RIBOSE-1P[c]', 0.010389610389610391), ('2PGADEHYDRAT-RXN', 0.00974025974025974), ('RXN0-310', 0.00974025974025974), ('XANTHOSINEPHOSPHORY-RXN', 0.00974025974025974), ('3-KETOBUTYRATE[c]', 0.008658008658008658), ('MAL[c]', 0.008658008658008658), ('PHOSPHO-ENOL-PYRUVATE[c]', 0.008658008658008658), ('HYPOXANTHINE[c]', 0.008658008658008658), ('METHYL-MALONYL-COA[c]', 0.008658008658008658), ('XANTHOSINE[c]', 0.008658008658008658), ('CYTIDINE[c]', 0.008658008658008658), ('DAMP[c]', 0.008658008658008658), ('CYTOSINE[c]', 0.008658008658008658), ('RIBOSE-5P[c]', 0.008658008658008658), ('CO+2[c]', 0.008658008658008658), ('CIS-ACONITATE[c]', 0.008658008658008658), ('TRANS-RXN0-281', 0.006493506493506494), ('FUMHYDR-RXN', 0.006493506493506494), ('PEPCARBOXYKIN-RXN', 0.006493506493506494), ('INOSINATE-NUCLEOSIDASE-RXN', 0.006493506493506494), ('RIB5PISOM-RXN', 0.006493506493506494), ('METHYLMALONYL-COA-MUT-RXN', 0.006493506493506494), ('5-NUCLEOTID-RXN', 0.006493506493506494), ('RXN-14026', 0.006493506493506494), ('RXN0-5038', 0.006493506493506494), ('NUCLEOSIDE-DIPHOSPHATASE-RXN', 0.006493506493506494), ('3.2.2.10-RXN', 0.006493506493506494), ('TRANS-RXN-141A', 0.006493506493506494), ('ACONITATEDEHYDR-RXN', 0.006493506493506494), ('3-KETOBUTYRATE[p]', 0.0), ('FUM[c]', 0.0), ('NADPH[c]', 0.0), ('THF[c]', 0.0), ('OXALACETIC_ACID[c]', 0.0), ('IMP[c]', 0.0), ('RIBULOSE-5P[c]', 0.0), ('2-Hexadecenoyl-ACPs[c]', 0.0), ('POLYMER-INST-TRANS-D2-ENOYL-ACP-C4-H8[c]', 0.0), ('SUC-COA[c]', 0.0), ('ADENINE[c]', 0.0), ('DEOXY-D-RIBOSE-1-PHOSPHATE[c]', 0.0), ('XANTHOSINE-5-PHOSPHATE[c]', 0.0), ('CMP[c]', 0.0), ('CAMP[c]', 0.0), ('DADP[c]', 0.0), ('CO+2[p]', 0.0), ('CIT[c]', 0.0), ('CYS[c]', 0.0), ('S-ADENOSYLMETHIONINE[c]', 0.0), ('MALONYL-ACP[c]', 0.0), ('DELTA3-ISOPENTENYL-PP[c]', 0.0), ('FARNESYL-PP[c]', 0.0)]\n",
+      "Closeness Centrality: [('CARBON-DIOXIDE[c]', 0.08401634865473302), ('PYRUVATE[c]', 0.081332120263208), ('DXS-RXN', 0.07857084457525958), ('R15-RXN', 0.07823283373997908), ('PYFLAVOXRE-RXN', 0.0766775712120003), ('PYRUVFORMLY-RXN', 0.07315216563903479), ('ISOCIT-CLEAV-RXN', 0.07215057511327988), ('TRANS-RXN0-545', 0.07181630658994681), ('CO-A[c]', 0.07091073437990002), ('MALIC-NADP-RXN', 0.07071376011773363), ('FORMATE[c]', 0.07030184032746514), ('GLYOX[c]', 0.06835383159886471), ('GLT[c]', 0.06835383159886471), ('L-ALPHA-ALANINE[c]', 0.06835383159886471), ('DEOXYXYLULOSE-5P[c]', 0.06791929770522101), ('CPD-479[c]', 0.06665577762599115), ('MET[c]', 0.06665577762599115), ('FLAVONADPREDUCT-RXN', 0.06629415011037527), ('Oxidized-flavodoxins[c]', 0.06510729831811791), ('THREO-DS-ISO-CITRATE[c]', 0.0640045978813172), ('CARBON-DIOXIDE[p]', 0.06308332049899892), ('ACETALD-DEHYDROG-RXN', 0.06270185626202981), ('ACETYL-COA[c]', 0.0625477976471354), ('TRANS-RXN-1', 0.06217172870518384), ('RXN0-5055', 0.06206362593150741), ('NADP[c]', 0.06193905995713895), ('NADPH[c]', 0.060756452607121966), ('NAD[c]', 0.05989871445266848), ('ACONITATEHYDR-RXN', 0.05775796878938564), ('Reduced-flavodoxins[c]', 0.05746490664195058), ('ACETALD[c]', 0.05604428190174953), ('FORMATE[p]', 0.05598583205497562), ('MALONYL-COA[c]', 0.05598266280857659), ('RIBOFLAVINSYNREDUC-RXN', 0.05558286821481246), ('biotin-L-lysine-in-BCCP-dimers[c]', 0.054748576097959585), ('ACETYL-COA-ACETYLTRANSFER-RXN', 0.05462865588494443), ('DHBDEHYD-RXN', 0.0539342238186104), ('THIOREDOXIN-REDUCT-NADPH-RXN', 0.05370665325397491), ('GLYCOLALD-DEHYDROG-RXN', 0.053035320088300225), ('CIS-ACONITATE[c]', 0.05281711665817626), ('MAL[c]', 0.05081228271932955), ('CPD-1086[c]', 0.05045061077144056), ('AMINO-RIBOSYLAMINO-1H-3H-PYR-DIONE[c]', 0.04975276596164665), ('ACETOACETYL-COA[c]', 0.04968765257451896), ('BIOTIN-CARBOXYL-RXN', 0.049300956585724795), ('2-3-DIHYDROXYBENZOATE[c]', 0.04913040787274865), ('Reduced-CcmH-Proteins[c]', 0.04894742683784084), ('NADH[c]', 0.04867486356096387), ('GLYCOLLATE[c]', 0.04840657129267133), ('RIBOPHOSPHAT-RXN', 0.0463689364351616), ('GAPOXNPHOSPHN-RXN', 0.04611766964200019), ('LUMAZINESYN-RXN', 0.04592036583255144), ('carboxybiotin-L-lysine-in-BCCP-dimers[c]', 0.04457043001677969), ('FRUCTOSE-6P[c]', 0.0445121412803532), ('MALATE-DEH-RXN', 0.044043172391668), ('RXN0-313', 0.043977036717739726), ('GAP[c]', 0.042217170219542466), ('DIMETHYL-D-RIBITYL-LUMAZINE[c]', 0.04199258611354075), ('F16ALDOLASE-RXN', 0.04182381532187014), ('TRIOSEPISOMERIZATION-RXN', 0.03946661893681762), ('FRUCTOSE-16-DIPHOSPHATE[c]', 0.03924854710095959), ('RIBOFLAVIN-SYN-RXN', 0.038683784426726424), ('DIHYDROXY-ACETONE-PHOSPHATE[c]', 0.03715866823913635), ('F16BDEPHOS-RXN', 0.03706792621096266), ('RIBOFLAVIN[c]', 0.03671778163402628), ('RXN0-7249', 0.03519513515764921), ('RIBOFLAVINKIN-RXN', 0.03501130032586987), ('FMN[c]', 0.033516544050140165), ('DIHYDROXYACETONE[c]', 0.03350485728130696), ('R601-RXN', 0.03205298013245033), ('CPD-9728[i]', 0.024282560706401765), ('SUC[c]', 0.024282560706401765), ('REDUCED-MENAQUINONE[i]', 0.021657419008412386), ('RXN0-5256', 0.021657419008412386), ('TRANS-RXN-106', 0.021657419008412386), ('DIHYDROOROTATE-DEHYDROGENASE-RXN', 0.021657419008412386), ('PPI[c]', 0.020695364238410598), ('FUM[c]', 0.019544500080762396), ('SUC[p]', 0.01946208947155021), ('OROTATE[c]', 0.01946208947155021), ('FUMHYDR-RXN', 0.017993252530301138), ('OXYGEN-MOLECULE[c]', 0.017660044150110375), ('DAHPSYN-RXN', 0.015137180700094607), ('3-DEOXY-D-ARABINO-HEPTULOSONATE-7-P[c]', 0.013796909492273732), ('GLUC1PURIDYLTRANS-RXN', 0.013245033112582781), ('CPD-12575[c]', 0.011920529801324504), ('DPG[c]', 0.01177336276674025), ('PHOSGLYPHOS-RXN', 0.011589403973509934), ('G3P[c]', 0.011352885525070956), ('3PGAREARR-RXN', 0.011037527593818985), ('2-PG[c]', 0.010596026490066225), ('PROPIONYL-COA[c]', 0.010596026490066225), ('CPD-602[c]', 0.010596026490066225), ('AMMONIUM[c]', 0.010596026490066225), ('2PGADEHYDRAT-RXN', 0.009933774834437087), ('RXN0-310', 0.009933774834437087), ('RIBOFLAVINSYNDEAM-RXN', 0.009933774834437087), ('PHOSPHO-ENOL-PYRUVATE[c]', 0.008830022075055188), ('METHYL-MALONYL-COA[c]', 0.008830022075055188), ('CYTIDINE[c]', 0.008830022075055188), ('CYTOSINE[c]', 0.008830022075055188), ('RIBOSE-5P[c]', 0.008830022075055188), ('DAMP[c]', 0.008830022075055188), ('CO+2[c]', 0.008830022075055188), ('AMP[c]', 0.008830022075055188), ('GLUCONATE[c]', 0.008830022075055188), ('DIAMINO-OH-PHOSPHORIBOSYLAMINO-PYR[c]', 0.008830022075055188), ('4-hydroxybenzoate[c]', 0.008830022075055188), ('DGMP[c]', 0.008830022075055188), ('DIHYDROXY-BUTANONE-P[c]', 0.008830022075055188), ('DIHYDRO-DIOH-BENZOATE[c]', 0.008830022075055188), ('TRANS-RXN0-517', 0.006622516556291391), ('PEPCARBOXYKIN-RXN', 0.006622516556291391), ('TRANS-RXN0-474', 0.006622516556291391), ('METHYLMALONYL-COA-MUT-RXN', 0.006622516556291391), ('RXN-14026', 0.006622516556291391), ('3.2.2.10-RXN', 0.006622516556291391), ('NUCLEOSIDE-DIPHOSPHATASE-RXN', 0.006622516556291391), ('TRANS-RXN-141A', 0.006622516556291391), ('RXN0-5038', 0.006622516556291391), ('RXN0-5185', 0.006622516556291391), ('GTP-CYCLOHYDRO-II-RXN', 0.006622516556291391), ('CATAL-RXN', 0.006622516556291391), ('CHORPYRLY-RXN', 0.006622516556291391), ('GMKALT-RXN', 0.006622516556291391), ('DIOHBUTANONEPSYN-RXN', 0.006622516556291391), ('ISOCHORMAT-RXN', 0.006622516556291391), ('HYDROGEN-MOLECULE[p]', 0.0), ('FUM[p]', 0.0), ('OXALACETIC_ACID[c]', 0.0), ('GLY[c]', 0.0), ('2-KETOGLUTARATE[c]', 0.0), ('DI-H-OROTATE[c]', 0.0), ('ERYTHROSE-4P[c]', 0.0), ('Oxidized-CcmH-Proteins[c]', 0.0), ('OXYGEN-MOLECULE[p]', 0.0), ('HCO3[c]', 0.0), ('SUC-COA[c]', 0.0), ('CMP[c]', 0.0), ('DADP[c]', 0.0), ('CO+2[p]', 0.0), ('CAMP[c]', 0.0), ('CPD-2961[c]', 0.0), ('GTP[c]', 0.0), ('HYDROGEN-PEROXIDE[c]', 0.0), ('CHORISMATE[c]', 0.0), ('DGDP[c]', 0.0), ('GLC-1-P[c]', 0.0), ('UTP[c]', 0.0), ('RIBULOSE-5P[c]', 0.0), ('ISOCHORISMATE[c]', 0.0), ('GLYCOLALDEHYDE[c]', 0.0)]\n",
       "Average Clustering: 0.0\n",
       "Transitivity: 0\n"
      ]
@@ -342,37 +319,36 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:05:12.594798Z",
-     "start_time": "2023-08-02T21:05:12.572320Z"
+     "end_time": "2023-08-03T00:34:01.907829Z",
+     "start_time": "2023-08-03T00:34:01.878167Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 585,
+   "execution_count": 596,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "out/new_env_analysis/flux_visualization/Acetoacetate_Transport_top30_network.html\n"
+      "out/new_env_analysis/flux_visualization/Hydrogen_fumarate_-O2_Glc_top30_network.html\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.lib.display.IFrame at 0x15cdd9a00>",
-      "text/html": "\n        <iframe\n            width=\"3000px\"\n            height=\"3000px\"\n            src=\"out/new_env_analysis/flux_visualization/Acetoacetate_Transport_top30_network.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+      "text/plain": "<IPython.lib.display.IFrame at 0x152a21f40>",
+      "text/html": "\n        <iframe\n            width=\"3000px\"\n            height=\"3000px\"\n            src=\"out/new_env_analysis/flux_visualization/Hydrogen_fumarate_-O2_Glc_top30_network.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
      },
-     "execution_count": 585,
+     "execution_count": 596,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "sort_closeness = sort_closeness[:8]\n",
-    "nt = Network('3000px', '3000px', notebook=True, cdn_resources='in_line', directed=True)\n",
+    "nt = Network('1000px', '1500px', notebook=True, cdn_resources='in_line', directed=True)\n",
     "nt.from_nx(G)\n",
-    "nt.repulsion()\n",
     "\n",
     "for tup in sort_closeness:\n",
     "    nt.get_node(tup[0])['color'] = 'blue'\n",
@@ -398,21 +374,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:13:00.892269Z",
-     "start_time": "2023-08-02T21:13:00.708692Z"
+     "end_time": "2023-08-03T00:34:02.132013Z",
+     "start_time": "2023-08-03T00:34:01.908225Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 571,
+   "execution_count": 596,
    "outputs": [],
    "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-02T21:05:12.788133Z",
-     "start_time": "2023-08-02T21:05:12.774538Z"
+     "end_time": "2023-08-03T00:34:02.174970Z",
+     "start_time": "2023-08-03T00:34:02.133843Z"
     }
    }
   }
diff --git a/ecoli/experiments/new_environments_test/metabolite_visualization.ipynb b/ecoli/experiments/new_environments_test/metabolite_visualization.ipynb
new file mode 100644
index 000000000..1b81c84cc
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/metabolite_visualization.ipynb
@@ -0,0 +1,375 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:29:54.719541Z",
+     "start_time": "2023-08-03T18:29:54.669794Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "from pyvis.network import Network\n",
+    "import math\n",
+    "import community as community_louvain\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import xmltodict\n",
+    "import os\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "outputs": [],
+   "source": [
+    "# Change the environment name here\n",
+    "env_name = 'Nitrate_as_reduction_target'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:29:54.906026Z",
+     "start_time": "2023-08-03T18:29:54.676289Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "outputs": [],
+   "source": [
+    "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "\n",
+    "row_num = condition_df[condition_df['Environment'] == env_name].index[0]\n",
+    "important_add = condition_df[\"Add\"].loc[row_num]\n",
+    "important_remove = condition_df[\"Remove\"].loc[row_num]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:29:54.909544Z",
+     "start_time": "2023-08-03T18:29:54.684199Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-07-21'\n",
+    "experiment = 'fba_new_environments'\n",
+    "entry = f'{experiment}_{env_name}_{time}_{date}'\n",
+    "folder = f'out/fba_new_env/{entry}/'\n",
+    "\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "\n",
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])\n",
+    "\n",
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "index_to_met = {v: k for k, v in metabolites_idx.items()}\n",
+    "\n",
+    "reaction_idx = {reaction: i for i, reaction in enumerate(metabolism.reaction_names)}\n",
+    "index_to_rxn = {v: k for k, v in reaction_idx.items()}\n",
+    "\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:01.825262Z",
+     "start_time": "2023-08-03T18:29:54.736419Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "outputs": [],
+   "source": [
+    "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:11.511426Z",
+     "start_time": "2023-08-03T18:30:01.831321Z"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Building the Graph"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "outputs": [],
+   "source": [
+    "G = nx.DiGraph()\n",
+    "\n",
+    "met_length = len(metabolism.metabolite_names)\n",
+    "reaction_length = np.shape(stoichiometry)[1]\n",
+    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\", \"ADP[c]\", \"Pi[p]\", \"WATER[p]\"]\n",
+    "# met_not_include = []\n",
+    "do_not_include = []\n",
+    "\n",
+    "for met in met_not_include:\n",
+    "    do_not_include.append(metabolites_idx[met])\n",
+    "\n",
+    "def plot_metabolite(G, metabolite, heatmap_df, mode):\n",
+    "    index = metabolites_idx[metabolite]\n",
+    "    to_return = []\n",
+    "    for k in range(reaction_length):\n",
+    "        if stoichiometry[index, k] < 0:\n",
+    "            reaction = index_to_rxn[k]\n",
+    "            clean_reaction = clean_reaction_name(reaction)\n",
+    "\n",
+    "            row_num = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
+    "            if heatmap_df[env_name].loc[row_num] == 0:\n",
+    "                continue\n",
+    "            else:\n",
+    "                flux = math.log(heatmap_df[env_name].loc[row_num], 10)\n",
+    "\n",
+    "            if flux < 0 and mode == 'green':\n",
+    "                continue\n",
+    "            elif flux > 0 and mode == 'red':\n",
+    "                continue\n",
+    "\n",
+    "            if flux > 0:\n",
+    "                color = 'green'\n",
+    "            else:\n",
+    "                color = 'red'\n",
+    "\n",
+    "            G.add_edge(metabolite, clean_reaction, color=color, title=flux)\n",
+    "            for l in range(met_length):\n",
+    "                if stoichiometry[l, k] > 0:\n",
+    "                    if l != index and l not in do_not_include:\n",
+    "                        product = index_to_met[l]\n",
+    "                        to_return.append(product)\n",
+    "                        G.add_edge(clean_reaction, product, color=color, title=flux)\n",
+    "                elif stoichiometry[l, k] < 0:\n",
+    "                    if l != index and l not in do_not_include:\n",
+    "                        reactant = index_to_met[l]\n",
+    "                        G.add_edge(reactant, clean_reaction, color=color, title=flux)\n",
+    "\n",
+    "    return to_return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:11.528447Z",
+     "start_time": "2023-08-03T18:30:11.511840Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "outputs": [],
+   "source": [
+    "def clean_reaction_name(reaction):\n",
+    "    if '/' in reaction:\n",
+    "        index = reaction.find('RXN')\n",
+    "        if (reaction[index+3] == '-' and reaction[index+4].isdigit()) or (reaction[index+4] == '-' and reaction[index+5].isdigit()):\n",
+    "            index = index + 4\n",
+    "            if reaction[index] == '-':\n",
+    "                index += 1\n",
+    "            while reaction[index].isdigit():\n",
+    "                index += 1\n",
+    "            reaction = reaction[:index]\n",
+    "        else:\n",
+    "            reaction = reaction[:index+3]\n",
+    "    elif '__' in reaction:\n",
+    "        reaction = reaction[:reaction.find('__')]\n",
+    "    elif '(reverse)' in reaction:\n",
+    "        reaction = reaction[:reaction.find('(reverse)') - 1]\n",
+    "    elif '[' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[') - 1]\n",
+    "    elif ' ' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[')]\n",
+    "    return reaction"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:11.544908Z",
+     "start_time": "2023-08-03T18:30:11.537718Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "outputs": [],
+   "source": [
+    "# Change Parameters Here\n",
+    "k = 10\n",
+    "mode = 'green'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:11.562115Z",
+     "start_time": "2023-08-03T18:30:11.544496Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "outputs": [],
+   "source": [
+    "if mode == 'red':\n",
+    "    return_met_1 = important_remove\n",
+    "else:\n",
+    "    return_met_1 = important_add\n",
+    "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
+    "return_met_2 = []\n",
+    "\n",
+    "for i in range(k):\n",
+    "    for met in return_met_1:\n",
+    "        if met is None:\n",
+    "            continue\n",
+    "        return_met_2 += plot_metabolite(G, met, heatmap_df, mode)\n",
+    "    return_met_2 = list(set(return_met_2))\n",
+    "    return_met_1 = return_met_2\n",
+    "    return_met_2 = []"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:33.043406Z",
+     "start_time": "2023-08-03T18:30:11.555187Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "out/new_env_analysis/met_visualization/green/Nitrate_as_reduction_target_metabolite_10green_graph.html\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.lib.display.IFrame at 0x168abebb0>",
+      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/met_visualization/green/Nitrate_as_reduction_target_metabolite_10green_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+     },
+     "execution_count": 229,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "closeness = nx.closeness_centrality(G)\n",
+    "sort_closeness = sorted(closeness.items(), key=lambda x:x[1], reverse=True)\n",
+    "\n",
+    "sort_closeness = sort_closeness[:8]\n",
+    "nt = Network('1000px', '1500px', notebook=True, cdn_resources='in_line', directed=True)\n",
+    "nt.from_nx(G)\n",
+    "\n",
+    "for tup in sort_closeness:\n",
+    "    nt.get_node(tup[0])['color'] = 'blue'\n",
+    "\n",
+    "for n in nt.nodes:\n",
+    "    if n['label'] in metabolites_idx:\n",
+    "        n['shape'] = 'star'\n",
+    "    if n['label'] in important_add:\n",
+    "        n['color'] = 'orange'\n",
+    "    if n['label'] in important_remove:\n",
+    "        n['color'] = 'purple'\n",
+    "\n",
+    "\n",
+    "# nt.toggle_physics(True)\n",
+    "nt.show_buttons(filter_=['physics'])\n",
+    "nt.show(f'out/new_env_analysis/met_visualization/{mode}/{env_name}_metabolite_{k}{mode}_graph.html')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:33.241452Z",
+     "start_time": "2023-08-03T18:30:33.067417Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-03T18:30:33.241731Z",
+     "start_time": "2023-08-03T18:30:33.235885Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

From f11277637830b2f09f9236424548837d255fa377 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 4 Aug 2023 15:28:15 -0700
Subject: [PATCH 54/58] Added visualization of metabolic pathways based on
 greatest flux-changed reactions + support for specific metabolites of
 interest in the same script

---
 .../pathway_visualization.ipynb               | 554 ++++++++++++++++++
 1 file changed, 554 insertions(+)
 create mode 100644 ecoli/experiments/new_environments_test/pathway_visualization.ipynb

diff --git a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
new file mode 100644
index 000000000..3baadf25b
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
@@ -0,0 +1,554 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 332,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:07.802341Z",
+     "start_time": "2023-08-04T22:14:07.755353Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "from pyvis.network import Network\n",
+    "import math\n",
+    "import community as community_louvain\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import xmltodict\n",
+    "import os\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 333,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 333,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:08.259151Z",
+     "start_time": "2023-08-04T22:14:07.774485Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 334,
+   "outputs": [],
+   "source": [
+    "env_name = 'Nitrate_as_reduction_target'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:08.285077Z",
+     "start_time": "2023-08-04T22:14:08.262477Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 335,
+   "outputs": [],
+   "source": [
+    "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "\n",
+    "row_num = condition_df[condition_df['Environment'] == env_name].index[0]\n",
+    "important_add = condition_df[\"Add\"].loc[row_num]\n",
+    "important_remove = condition_df[\"Remove\"].loc[row_num]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:08.372579Z",
+     "start_time": "2023-08-04T22:14:08.268384Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 336,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-07-21'\n",
+    "experiment = 'fba_new_environments'\n",
+    "entry = f'{experiment}_{env_name}_{time}_{date}'\n",
+    "folder = f'out/fba_new_env/{entry}/'\n",
+    "\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "\n",
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])\n",
+    "\n",
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "index_to_met = {v: k for k, v in metabolites_idx.items()}\n",
+    "\n",
+    "reaction_idx = {reaction: i for i, reaction in enumerate(metabolism.reaction_names)}\n",
+    "index_to_rxn = {v: k for k, v in reaction_idx.items()}\n",
+    "\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:15.029227Z",
+     "start_time": "2023-08-04T22:14:08.381460Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 337,
+   "outputs": [],
+   "source": [
+    "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
+    "heatmap_df = heatmap_df[heatmap_df[env_name] != 0]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:28.883162Z",
+     "start_time": "2023-08-04T22:14:15.029411Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 338,
+   "outputs": [],
+   "source": [
+    "G = nx.DiGraph()\n",
+    "\n",
+    "met_length = len(metabolism.metabolite_names)\n",
+    "reaction_length = np.shape(stoichiometry)[1]\n",
+    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\", \"ADP[c]\", \"Pi[p]\", \"WATER[p]\", \"NAD[c]\", \"NADH[c]\", \"NADP[c]\", \"NADPH[c]\", \"PPI[c]\", \"CARBON-DIOXIDE[c]\"]\n",
+    "# met_not_include = []\n",
+    "do_not_include = []\n",
+    "\n",
+    "for met in met_not_include:\n",
+    "    do_not_include.append(metabolites_idx[met])\n",
+    "\n",
+    "def plot_pathway_from_reaction(G, reaction, heatmap_df, pathway_to_colors, completed_pathways):\n",
+    "    index = reaction_idx[reaction]\n",
+    "    reactants = []\n",
+    "    products = []\n",
+    "    pathways = []\n",
+    "    colors = ['purple', 'orange', 'green', 'lightblue', 'blue', 'pink', 'brown', 'red']\n",
+    "    color_index = 0\n",
+    "\n",
+    "    for k in range(met_length):\n",
+    "        if stoichiometry[k, index] > 0 and index_to_met[k] not in met_not_include:\n",
+    "            products.append(index_to_met[k])\n",
+    "        elif stoichiometry[k, index] < 0 and index_to_met[k] not in met_not_include:\n",
+    "            reactants.append(index_to_met[k])\n",
+    "\n",
+    "    for reactant in reactants:\n",
+    "        pathways += get_pathway_from_metabolite(reactant)\n",
+    "\n",
+    "    for product in products:\n",
+    "        pathways += get_pathway_from_metabolite(product)\n",
+    "\n",
+    "    weird_name = []\n",
+    "    pathways = list(set(pathways) - set(completed_pathways))\n",
+    "    for pathway in pathways:\n",
+    "        plot_reactions = []\n",
+    "        try:\n",
+    "            req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{pathway}&detail=low\"\n",
+    "            r = s.get(req_str)\n",
+    "            o = xmltodict.parse(r.content)['ptools-xml']['Pathway']['reaction-list']['Reaction']\n",
+    "            if type(o) is dict:\n",
+    "                o = [o]\n",
+    "\n",
+    "            for rxn in o:\n",
+    "                if type(rxn) is not str:\n",
+    "                    plot_reactions.append(rxn['@frameid'])\n",
+    "        except KeyError:\n",
+    "            pass\n",
+    "        except Exception:\n",
+    "            pass\n",
+    "\n",
+    "        has_node = False\n",
+    "        for reaction in plot_reactions:\n",
+    "            try:\n",
+    "                row_number = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
+    "            except IndexError:\n",
+    "                try:\n",
+    "                    row_number = heatmap_df[heatmap_df['Reactions'].str.contains(reaction)].index[0]\n",
+    "                    weird_name.append(reaction)\n",
+    "                    reaction = heatmap_df['Reactions'].loc[row_number]\n",
+    "                except IndexError:\n",
+    "                    continue\n",
+    "\n",
+    "            if heatmap_df[env_name].loc[row_number] == 0:\n",
+    "                continue\n",
+    "            else:\n",
+    "                flux = math.log(heatmap_df[env_name].loc[row_number], 10)\n",
+    "\n",
+    "            has_node = True\n",
+    "            plot_reaction(G, reaction, flux, colors[color_index])\n",
+    "\n",
+    "        if pathway not in pathway_to_colors and has_node:\n",
+    "            pathway_to_colors[pathway] = colors[color_index]\n",
+    "            color_index = (color_index + 1) % len(colors)\n",
+    "\n",
+    "    completed_pathways += pathways\n",
+    "    return weird_name\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:28.914537Z",
+     "start_time": "2023-08-04T22:14:28.907151Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 339,
+   "outputs": [],
+   "source": [
+    "def plot_reaction(G, reaction, flux, color):\n",
+    "    index = reaction_idx[reaction]\n",
+    "    reactants = []\n",
+    "    products = []\n",
+    "    clean_name = clean_reaction_name(reaction)\n",
+    "    for k in range(met_length):\n",
+    "        if stoichiometry[k, index] > 0 and index_to_met[k] not in met_not_include:\n",
+    "            products.append(index_to_met[k])\n",
+    "        elif stoichiometry[k, index] < 0 and index_to_met[k] not in met_not_include:\n",
+    "            reactants.append(index_to_met[k])\n",
+    "\n",
+    "    for reactant in reactants:\n",
+    "        G.add_edge(reactant, clean_name, color=color, title=flux)\n",
+    "\n",
+    "    for product in products:\n",
+    "        G.add_edge(clean_name, product, color=color, title=flux)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:28.935818Z",
+     "start_time": "2023-08-04T22:14:28.918656Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 340,
+   "outputs": [],
+   "source": [
+    "def get_pathway_from_metabolite(met):\n",
+    "    to_return = []\n",
+    "    function = \"pathways-of-compound\"\n",
+    "    req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{met[:-3]}&detail=none&fmt=json\"\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    try:\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Pathway']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for pathway in o:\n",
+    "            if type(pathway) is not str: # no rxns\n",
+    "                to_return.append(pathway['@frameid'])\n",
+    "    except KeyError:\n",
+    "        pass\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    return to_return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:28.936069Z",
+     "start_time": "2023-08-04T22:14:28.928798Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 341,
+   "outputs": [],
+   "source": [
+    "def clean_reaction_name(reaction):\n",
+    "    if '/' in reaction:\n",
+    "        index = reaction.find('RXN')\n",
+    "        if (reaction[index+3] == '-' and reaction[index+4].isdigit()) or (reaction[index+4] == '-' and reaction[index+5].isdigit()):\n",
+    "            index = index + 4\n",
+    "            if reaction[index] == '-':\n",
+    "                index += 1\n",
+    "            while reaction[index].isdigit():\n",
+    "                index += 1\n",
+    "            reaction = reaction[:index]\n",
+    "        else:\n",
+    "            reaction = reaction[:index+3]\n",
+    "    elif '__' in reaction:\n",
+    "        reaction = reaction[:reaction.find('__')]\n",
+    "    elif '(reverse)' in reaction:\n",
+    "        reaction = reaction[:reaction.find('(reverse)') - 1]\n",
+    "    elif '[' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[') - 1]\n",
+    "    elif ' ' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[')]\n",
+    "    return reaction"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:28.960968Z",
+     "start_time": "2023-08-04T22:14:28.943750Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 342,
+   "outputs": [],
+   "source": [
+    "def plot_metabolite(G, metabolite, heatmap_df):\n",
+    "    index = metabolites_idx[metabolite]\n",
+    "    to_return = []\n",
+    "    for k in range(reaction_length):\n",
+    "        if stoichiometry[index, k] > 0:\n",
+    "            reaction = index_to_rxn[k]\n",
+    "            clean_reaction = clean_reaction_name(reaction)\n",
+    "\n",
+    "            try:\n",
+    "                row = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
+    "                flux_num = math.log(heatmap_df[env_name].loc[row], 10)\n",
+    "            except IndexError:\n",
+    "                flux_num = 0\n",
+    "\n",
+    "            color = 'black'\n",
+    "\n",
+    "            G.add_edge(clean_reaction, metabolite, color=color, title=flux_num)\n",
+    "            for l in range(met_length):\n",
+    "                if stoichiometry[l, k] < 0:\n",
+    "                    if l != index and l not in do_not_include:\n",
+    "                        reactant = index_to_met[l]\n",
+    "                        to_return.append(reactant)\n",
+    "                        G.add_edge(reactant, clean_reaction, color=color, title=flux_num)\n",
+    "                elif stoichiometry[l, k] > 0:\n",
+    "                    if l != index and l not in do_not_include:\n",
+    "                        product = index_to_met[l]\n",
+    "                        G.add_edge(clean_reaction, product, color=color, title=flux_num)\n",
+    "\n",
+    "    return to_return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:28.969761Z",
+     "start_time": "2023-08-04T22:14:28.959137Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 343,
+   "outputs": [],
+   "source": [
+    "# Change K here to select the top k reactions/pathways to plot\n",
+    "\n",
+    "k = 4\n",
+    "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
+    "top_increase = [heatmap_df.iloc[i, 0] for i in range(k)]\n",
+    "bottom_increase = [heatmap_df.iloc[i, 0] for i in range(-1, -1*k - 1, -1)]\n",
+    "pathway_to_colors = {}\n",
+    "\n",
+    "failed_name = []\n",
+    "completed_pathways = []\n",
+    "\n",
+    "if \"Non-zero Values for each environment\" in top_increase:\n",
+    "    top_increase.remove(\"Non-zero Values for each environment\")\n",
+    "elif \"Non-zero Values for each environment\" in bottom_increase:\n",
+    "    bottom_increase.remove(\"Non-zero Values for each environment\")\n",
+    "\n",
+    "for reaction in top_increase:\n",
+    "    failed_name += plot_pathway_from_reaction(G, reaction, heatmap_df, pathway_to_colors, completed_pathways)\n",
+    "\n",
+    "for reaction in bottom_increase:\n",
+    "    failed_name += plot_pathway_from_reaction(G, reaction, heatmap_df, pathway_to_colors, completed_pathways)\n",
+    "\n",
+    "failed_name = list(set(failed_name))\n",
+    "\n",
+    "with open(f'out/new_env_analysis/pathway_visualization/{env_name}_{k}_legend.txt', 'w') as f:\n",
+    "    for reaction in (top_increase + bottom_increase):\n",
+    "        row_number = heatmap_df[heatmap_df['Reactions'] == reaction].index[0]\n",
+    "        flux = heatmap_df[env_name].loc[row_number]\n",
+    "        f.write('%s: %s\\n' % (reaction, flux))\n",
+    "\n",
+    "    for key, value in pathway_to_colors.items():\n",
+    "        f.write('%s: %s\\n' % (key, value))\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:57.289720Z",
+     "start_time": "2023-08-04T22:14:28.988426Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 344,
+   "outputs": [],
+   "source": [
+    "# Add interesting extra metabolites to examine here\n",
+    "\n",
+    "met_level = 1\n",
+    "extra_metabolites = []\n",
+    "temp = []\n",
+    "\n",
+    "for i in range(met_level):\n",
+    "    for met in extra_metabolites:\n",
+    "        if met is None:\n",
+    "            continue\n",
+    "        temp += plot_metabolite(G, met, heatmap_df)\n",
+    "    temp = list(set(temp))\n",
+    "    extra_metabolites = temp\n",
+    "    temp = []"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:57.299766Z",
+     "start_time": "2023-08-04T22:14:57.295637Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 345,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_4_graph.html\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.lib.display.IFrame at 0x15ee32cd0>",
+      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_4_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+     },
+     "execution_count": 345,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "closeness = nx.closeness_centrality(G)\n",
+    "sort_closeness = sorted(closeness.items(), key=lambda x:x[1], reverse=True)\n",
+    "\n",
+    "sort_closeness = sort_closeness[:8]\n",
+    "nt = Network('1000px', '1500px', notebook=True, cdn_resources='in_line', directed=True)\n",
+    "nt.from_nx(G)\n",
+    "\n",
+    "for tup in sort_closeness:\n",
+    "    nt.get_node(tup[0])['color'] = 'blue'\n",
+    "\n",
+    "for n in nt.nodes:\n",
+    "    if n['label'] in metabolites_idx:\n",
+    "        n['shape'] = 'star'\n",
+    "    if n['label'] in important_add:\n",
+    "        n['color'] = 'orange'\n",
+    "    if n['label'] in important_remove:\n",
+    "        n['color'] = 'purple'\n",
+    "\n",
+    "\n",
+    "nt.show_buttons(filter_=['physics'])\n",
+    "nt.show(f'out/new_env_analysis/pathway_visualization/{env_name}_pathway_{k}_graph.html')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:57.539854Z",
+     "start_time": "2023-08-04T22:14:57.326870Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 345,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-04T22:14:57.546593Z",
+     "start_time": "2023-08-04T22:14:57.541028Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

From 5934110895991a1ead45fe3fc4e86041eedbc915 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Mon, 7 Aug 2023 12:10:41 -0700
Subject: [PATCH 55/58] Improved pathway visualization to include more
 reactions

---
 .../pathway_visualization.ipynb               | 99 ++++++++++---------
 1 file changed, 50 insertions(+), 49 deletions(-)

diff --git a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
index 3baadf25b..c8ee513af 100644
--- a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
+++ b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 332,
+   "execution_count": 360,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:07.802341Z",
-     "start_time": "2023-08-04T22:14:07.755353Z"
+     "end_time": "2023-08-04T22:43:36.610741Z",
+     "start_time": "2023-08-04T22:43:36.518803Z"
     }
    },
    "outputs": [],
@@ -38,13 +38,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 333,
+   "execution_count": 361,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 333,
+     "execution_count": 361,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -57,14 +57,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:08.259151Z",
-     "start_time": "2023-08-04T22:14:07.774485Z"
+     "end_time": "2023-08-04T22:43:37.073690Z",
+     "start_time": "2023-08-04T22:43:36.529164Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 334,
+   "execution_count": 362,
    "outputs": [],
    "source": [
     "env_name = 'Nitrate_as_reduction_target'"
@@ -72,14 +72,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:08.285077Z",
-     "start_time": "2023-08-04T22:14:08.262477Z"
+     "end_time": "2023-08-04T22:43:37.078604Z",
+     "start_time": "2023-08-04T22:43:37.062395Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 335,
+   "execution_count": 363,
    "outputs": [],
    "source": [
     "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
@@ -93,14 +93,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:08.372579Z",
-     "start_time": "2023-08-04T22:14:08.268384Z"
+     "end_time": "2023-08-04T22:43:37.170657Z",
+     "start_time": "2023-08-04T22:43:37.073883Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 336,
+   "execution_count": 364,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -137,14 +137,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:15.029227Z",
-     "start_time": "2023-08-04T22:14:08.381460Z"
+     "end_time": "2023-08-04T22:43:46.096021Z",
+     "start_time": "2023-08-04T22:43:37.125129Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 337,
+   "execution_count": 365,
    "outputs": [],
    "source": [
     "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
@@ -153,14 +153,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:28.883162Z",
-     "start_time": "2023-08-04T22:14:15.029411Z"
+     "end_time": "2023-08-04T22:43:57.236846Z",
+     "start_time": "2023-08-04T22:43:46.098271Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 338,
+   "execution_count": 366,
    "outputs": [],
    "source": [
     "G = nx.DiGraph()\n",
@@ -243,14 +243,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:28.914537Z",
-     "start_time": "2023-08-04T22:14:28.907151Z"
+     "end_time": "2023-08-04T22:43:57.286130Z",
+     "start_time": "2023-08-04T22:43:57.263905Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 339,
+   "execution_count": 367,
    "outputs": [],
    "source": [
     "def plot_reaction(G, reaction, flux, color):\n",
@@ -273,14 +273,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:28.935818Z",
-     "start_time": "2023-08-04T22:14:28.918656Z"
+     "end_time": "2023-08-04T22:43:57.286543Z",
+     "start_time": "2023-08-04T22:43:57.274815Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 340,
+   "execution_count": 368,
    "outputs": [],
    "source": [
     "def get_pathway_from_metabolite(met):\n",
@@ -307,14 +307,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:28.936069Z",
-     "start_time": "2023-08-04T22:14:28.928798Z"
+     "end_time": "2023-08-04T22:43:57.295211Z",
+     "start_time": "2023-08-04T22:43:57.288276Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 341,
+   "execution_count": 369,
    "outputs": [],
    "source": [
     "def clean_reaction_name(reaction):\n",
@@ -342,14 +342,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:28.960968Z",
-     "start_time": "2023-08-04T22:14:28.943750Z"
+     "end_time": "2023-08-04T22:43:57.304982Z",
+     "start_time": "2023-08-04T22:43:57.301673Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 342,
+   "execution_count": 370,
    "outputs": [],
    "source": [
     "def plot_metabolite(G, metabolite, heatmap_df):\n",
@@ -385,21 +385,22 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:28.969761Z",
-     "start_time": "2023-08-04T22:14:28.959137Z"
+     "end_time": "2023-08-04T22:43:57.336063Z",
+     "start_time": "2023-08-04T22:43:57.315403Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 343,
+   "execution_count": 371,
    "outputs": [],
    "source": [
     "# Change K here to select the top k reactions/pathways to plot\n",
     "\n",
     "k = 4\n",
+    "green_offset = 1\n",
     "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
-    "top_increase = [heatmap_df.iloc[i, 0] for i in range(k)]\n",
+    "top_increase = [heatmap_df.iloc[i, 0] for i in range(k + green_offset)]\n",
     "bottom_increase = [heatmap_df.iloc[i, 0] for i in range(-1, -1*k - 1, -1)]\n",
     "pathway_to_colors = {}\n",
     "\n",
@@ -431,14 +432,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:57.289720Z",
-     "start_time": "2023-08-04T22:14:28.988426Z"
+     "end_time": "2023-08-04T22:44:12.903485Z",
+     "start_time": "2023-08-04T22:43:57.333416Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 344,
+   "execution_count": 372,
    "outputs": [],
    "source": [
     "# Add interesting extra metabolites to examine here\n",
@@ -459,14 +460,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:57.299766Z",
-     "start_time": "2023-08-04T22:14:57.295637Z"
+     "end_time": "2023-08-04T22:44:12.936905Z",
+     "start_time": "2023-08-04T22:44:12.913362Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 345,
+   "execution_count": 373,
    "outputs": [
     {
      "name": "stdout",
@@ -477,10 +478,10 @@
     },
     {
      "data": {
-      "text/plain": "<IPython.lib.display.IFrame at 0x15ee32cd0>",
+      "text/plain": "<IPython.lib.display.IFrame at 0x16362a820>",
       "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_4_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
      },
-     "execution_count": 345,
+     "execution_count": 373,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -511,21 +512,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:57.539854Z",
-     "start_time": "2023-08-04T22:14:57.326870Z"
+     "end_time": "2023-08-04T22:44:13.160745Z",
+     "start_time": "2023-08-04T22:44:12.951871Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 345,
+   "execution_count": 373,
    "outputs": [],
    "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:14:57.546593Z",
-     "start_time": "2023-08-04T22:14:57.541028Z"
+     "end_time": "2023-08-04T22:44:13.168986Z",
+     "start_time": "2023-08-04T22:44:13.162126Z"
     }
    }
   }

From e8ea76b76e7d32f45ce657f26ce1c271ead50ecd Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Wed, 9 Aug 2023 14:17:23 -0700
Subject: [PATCH 56/58] Updated pathway visualization to include a threshold
 for plotting reactions

---
 .../pathway_visualization.ipynb               | 111 +++++++++---------
 1 file changed, 57 insertions(+), 54 deletions(-)

diff --git a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
index c8ee513af..0f8979a14 100644
--- a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
+++ b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 360,
+   "execution_count": 35,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:36.610741Z",
-     "start_time": "2023-08-04T22:43:36.518803Z"
+     "end_time": "2023-08-09T21:13:29.636302Z",
+     "start_time": "2023-08-09T21:13:29.520332Z"
     }
    },
    "outputs": [],
@@ -38,13 +38,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 361,
+   "execution_count": 36,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 361,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -57,14 +57,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:37.073690Z",
-     "start_time": "2023-08-04T22:43:36.529164Z"
+     "end_time": "2023-08-09T21:13:29.920190Z",
+     "start_time": "2023-08-09T21:13:29.539891Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 362,
+   "execution_count": 37,
    "outputs": [],
    "source": [
     "env_name = 'Nitrate_as_reduction_target'"
@@ -72,14 +72,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:37.078604Z",
-     "start_time": "2023-08-04T22:43:37.062395Z"
+     "end_time": "2023-08-09T21:13:29.971108Z",
+     "start_time": "2023-08-09T21:13:29.935510Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 363,
+   "execution_count": 38,
    "outputs": [],
    "source": [
     "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
@@ -93,14 +93,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:37.170657Z",
-     "start_time": "2023-08-04T22:43:37.073883Z"
+     "end_time": "2023-08-09T21:13:30.054286Z",
+     "start_time": "2023-08-09T21:13:29.952187Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 364,
+   "execution_count": 39,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -137,14 +137,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:46.096021Z",
-     "start_time": "2023-08-04T22:43:37.125129Z"
+     "end_time": "2023-08-09T21:13:35.247146Z",
+     "start_time": "2023-08-09T21:13:30.020158Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 365,
+   "execution_count": 40,
    "outputs": [],
    "source": [
     "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
@@ -153,21 +153,22 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:57.236846Z",
-     "start_time": "2023-08-04T22:43:46.098271Z"
+     "end_time": "2023-08-09T21:13:49.389572Z",
+     "start_time": "2023-08-09T21:13:35.248877Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 366,
+   "execution_count": 41,
    "outputs": [],
    "source": [
     "G = nx.DiGraph()\n",
     "\n",
     "met_length = len(metabolism.metabolite_names)\n",
     "reaction_length = np.shape(stoichiometry)[1]\n",
-    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\", \"ADP[c]\", \"Pi[p]\", \"WATER[p]\", \"NAD[c]\", \"NADH[c]\", \"NADP[c]\", \"NADPH[c]\", \"PPI[c]\", \"CARBON-DIOXIDE[c]\"]\n",
+    "met_not_include = [\"ATP[c]\", \"WATER[c]\", \"PROTON[p]\", \"Pi[c]\", \"PROTON[c]\", \"ADP[c]\", \"Pi[p]\", \"WATER[p]\", \"NAD[c]\", \"NADH[c]\", \"NADP[c]\", \"NADPH[c]\", \"PPI[c]\", \"CARBON-DIOXIDE[c]\", \"CO-A[c]\", \"ACETYL-COA[c]\"\n",
+    "  ]\n",
     "# met_not_include = []\n",
     "do_not_include = []\n",
     "\n",
@@ -230,6 +231,9 @@
     "            else:\n",
     "                flux = math.log(heatmap_df[env_name].loc[row_number], 10)\n",
     "\n",
+    "            if abs(flux) < 0.2:\n",
+    "                continue\n",
+    "\n",
     "            has_node = True\n",
     "            plot_reaction(G, reaction, flux, colors[color_index])\n",
     "\n",
@@ -243,14 +247,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:57.286130Z",
-     "start_time": "2023-08-04T22:43:57.263905Z"
+     "end_time": "2023-08-09T21:13:49.420918Z",
+     "start_time": "2023-08-09T21:13:49.410126Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 367,
+   "execution_count": 42,
    "outputs": [],
    "source": [
     "def plot_reaction(G, reaction, flux, color):\n",
@@ -273,14 +277,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:57.286543Z",
-     "start_time": "2023-08-04T22:43:57.274815Z"
+     "end_time": "2023-08-09T21:13:49.436679Z",
+     "start_time": "2023-08-09T21:13:49.425243Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 368,
+   "execution_count": 43,
    "outputs": [],
    "source": [
     "def get_pathway_from_metabolite(met):\n",
@@ -307,14 +311,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:57.295211Z",
-     "start_time": "2023-08-04T22:43:57.288276Z"
+     "end_time": "2023-08-09T21:13:49.443994Z",
+     "start_time": "2023-08-09T21:13:49.439474Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 369,
+   "execution_count": 44,
    "outputs": [],
    "source": [
     "def clean_reaction_name(reaction):\n",
@@ -342,14 +346,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:57.304982Z",
-     "start_time": "2023-08-04T22:43:57.301673Z"
+     "end_time": "2023-08-09T21:13:49.479853Z",
+     "start_time": "2023-08-09T21:13:49.453485Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 370,
+   "execution_count": 45,
    "outputs": [],
    "source": [
     "def plot_metabolite(G, metabolite, heatmap_df):\n",
@@ -385,20 +389,20 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:43:57.336063Z",
-     "start_time": "2023-08-04T22:43:57.315403Z"
+     "end_time": "2023-08-09T21:13:49.481377Z",
+     "start_time": "2023-08-09T21:13:49.468427Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 371,
+   "execution_count": 46,
    "outputs": [],
    "source": [
     "# Change K here to select the top k reactions/pathways to plot\n",
     "\n",
-    "k = 4\n",
-    "green_offset = 1\n",
+    "k = 5\n",
+    "green_offset = 0\n",
     "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
     "top_increase = [heatmap_df.iloc[i, 0] for i in range(k + green_offset)]\n",
     "bottom_increase = [heatmap_df.iloc[i, 0] for i in range(-1, -1*k - 1, -1)]\n",
@@ -432,18 +436,17 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:44:12.903485Z",
-     "start_time": "2023-08-04T22:43:57.333416Z"
+     "end_time": "2023-08-09T21:14:02.725884Z",
+     "start_time": "2023-08-09T21:13:49.516878Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 372,
+   "execution_count": 47,
    "outputs": [],
    "source": [
     "# Add interesting extra metabolites to examine here\n",
-    "\n",
     "met_level = 1\n",
     "extra_metabolites = []\n",
     "temp = []\n",
@@ -460,28 +463,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:44:12.936905Z",
-     "start_time": "2023-08-04T22:44:12.913362Z"
+     "end_time": "2023-08-09T21:14:02.737016Z",
+     "start_time": "2023-08-09T21:14:02.733171Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 373,
+   "execution_count": 48,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_4_graph.html\n"
+      "out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_5_graph.html\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.lib.display.IFrame at 0x16362a820>",
-      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_4_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+      "text/plain": "<IPython.lib.display.IFrame at 0x161c96e80>",
+      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_5_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
      },
-     "execution_count": 373,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -512,21 +515,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:44:13.160745Z",
-     "start_time": "2023-08-04T22:44:12.951871Z"
+     "end_time": "2023-08-09T21:14:02.901942Z",
+     "start_time": "2023-08-09T21:14:02.768088Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 373,
+   "execution_count": 48,
    "outputs": [],
    "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-04T22:44:13.168986Z",
-     "start_time": "2023-08-04T22:44:13.162126Z"
+     "end_time": "2023-08-09T21:14:02.908722Z",
+     "start_time": "2023-08-09T21:14:02.903346Z"
     }
    }
   }

From e7e402763e76bb66a1dc2aede92dfd34479625cb Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Fri, 11 Aug 2023 14:34:04 -0700
Subject: [PATCH 57/58] Added script to generate a pathway heatmap based on
 reaction heatmap

---
 .../pathway_heatmap_creation.ipynb            | 449 ++++++++++++++++++
 .../pathway_visualization.ipynb               | 111 ++---
 2 files changed, 506 insertions(+), 54 deletions(-)
 create mode 100644 ecoli/experiments/new_environments_test/pathway_heatmap_creation.ipynb

diff --git a/ecoli/experiments/new_environments_test/pathway_heatmap_creation.ipynb b/ecoli/experiments/new_environments_test/pathway_heatmap_creation.ipynb
new file mode 100644
index 000000000..bd68b3aa7
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/pathway_heatmap_creation.ipynb
@@ -0,0 +1,449 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-08-11T18:08:17.222790Z",
+     "start_time": "2023-08-11T18:08:17.215825Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "from pyvis.network import Network\n",
+    "import math\n",
+    "import community as community_louvain\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import xmltodict\n",
+    "import os\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-11T18:08:17.531352Z",
+     "start_time": "2023-08-11T18:08:17.226898Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [],
+   "source": [
+    "def clean_name(reaction):\n",
+    "    if '/' in reaction:\n",
+    "        index = reaction.find('RXN')\n",
+    "        if (reaction[index+3] == '-' and reaction[index+4].isdigit()) or (reaction[index+4] == '-' and reaction[index+5].isdigit()):\n",
+    "            index = index + 4\n",
+    "            if reaction[index] == '-':\n",
+    "                index += 1\n",
+    "            while reaction[index].isdigit():\n",
+    "                index += 1\n",
+    "            reaction = reaction[:index]\n",
+    "        else:\n",
+    "            reaction = reaction[:index+3]\n",
+    "    elif '__' in reaction:\n",
+    "        reaction = reaction[:reaction.find('__')]\n",
+    "    elif '(reverse)' in reaction:\n",
+    "        reaction = reaction[:reaction.find('(reverse)') - 1]\n",
+    "    elif '[' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[') - 1]\n",
+    "    elif ' ' in reaction:\n",
+    "        reaction = reaction[:reaction.find('[')]\n",
+    "    return reaction\n",
+    "\n",
+    "def get_gene_from_reaction(reaction):\n",
+    "    function = \"genes-of-reaction\"\n",
+    "    req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{reaction}&detail=none&fmt=json\"\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    try:\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Gene']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for gene in o:\n",
+    "            if type(gene) is not str: # no rxns\n",
+    "                return gene['@frameid']\n",
+    "    except KeyError:\n",
+    "        pass\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    return None\n",
+    "\n",
+    "def get_pathway_from_gene(gene):\n",
+    "    function = \"pathways-of-gene\"\n",
+    "    req_str = f\"https://websvc.biocyc.org/apixml?fn={function}&id=ECOLI:{gene}&detail=none&fmt=json\"\n",
+    "\n",
+    "    r = s.get(req_str)\n",
+    "    try:\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Pathway']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for pathway in o:\n",
+    "            if type(pathway) is not str: # no rxns\n",
+    "                return pathway['@frameid']\n",
+    "    except KeyError:\n",
+    "        pass\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    return None\n",
+    "\n",
+    "def get_reactions_from_pathway(pathway):\n",
+    "    to_return = []\n",
+    "    try:\n",
+    "        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{pathway}&detail=low\"\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Pathway']['reaction-list']['Reaction']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for rxn in o:\n",
+    "            if type(rxn) is not str:\n",
+    "                to_return.append(rxn['@frameid'])\n",
+    "    except KeyError:\n",
+    "        pass\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    return to_return"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-11T18:08:17.564016Z",
+     "start_time": "2023-08-11T18:08:17.531820Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "         Pathways  Reactions  Hydrogen_fumarate_-O2_Glc  Ribose_C-source  \\\n",
+      "0       PWY0-1336        0.0                   2.651957         0.000000   \n",
+      "1        PWY-8291        0.0                  -0.004411        -0.000151   \n",
+      "2        PWY-5437        0.0                   0.000000         0.000000   \n",
+      "3    GLUCONEO-PWY        0.0                   1.734921        -0.008320   \n",
+      "4             TCA        0.0                  -0.051712        -0.096573   \n",
+      "..            ...        ...                        ...              ...   \n",
+      "294     PWY0-1602        0.0                   0.000000         0.000000   \n",
+      "295     PWY0-1600        0.0                   0.000000         0.000000   \n",
+      "296     PWY0-1599        0.0                   0.000000         0.000000   \n",
+      "297     PWY0-1353        0.0                   0.000000         0.032344   \n",
+      "298      PWY-8164        0.0                   0.000000         0.000000   \n",
+      "\n",
+      "     Thiamine_salvaging  Nitrate_as_reduction_target  \\\n",
+      "0              0.000000                     2.375909   \n",
+      "1             -0.000237                     0.000244   \n",
+      "2              0.000000                     0.000000   \n",
+      "3             -0.000013                     0.047075   \n",
+      "4             -0.141557                    -0.342820   \n",
+      "..                  ...                          ...   \n",
+      "294            0.000000                     0.000000   \n",
+      "295            0.000000                     0.000000   \n",
+      "296            0.000000                     0.000000   \n",
+      "297           -0.000063                    -0.332963   \n",
+      "298            0.000000                     0.000000   \n",
+      "\n",
+      "     3-Phenylpropionate_as_carbon_and_energy_source  \\\n",
+      "0                                          0.000000   \n",
+      "1                                          0.001824   \n",
+      "2                                          0.000000   \n",
+      "3                                          1.736985   \n",
+      "4                                          0.075986   \n",
+      "..                                              ...   \n",
+      "294                                        0.000000   \n",
+      "295                                        0.000000   \n",
+      "296                                        0.000000   \n",
+      "297                                        0.211619   \n",
+      "298                                        0.000000   \n",
+      "\n",
+      "     Molybdenum_cofactor_synthesis  Pre-Quenosine_synthesis  \\\n",
+      "0                         0.000000                 0.000000   \n",
+      "1                        -0.000151                -0.000151   \n",
+      "2                         0.000000                 0.000000   \n",
+      "3                        -0.000027                -0.000027   \n",
+      "4                        -0.141560                -0.141560   \n",
+      "..                             ...                      ...   \n",
+      "294                       0.000000                 0.000000   \n",
+      "295                       0.000000                 0.000000   \n",
+      "296                       0.000000                 0.000000   \n",
+      "297                      -0.000034                -0.000034   \n",
+      "298                       0.000000                 0.000000   \n",
+      "\n",
+      "     Acetate_Transport_+_Metabolism  ...  \\\n",
+      "0                          0.000000  ...   \n",
+      "1                         -0.001438  ...   \n",
+      "2                         -0.283162  ...   \n",
+      "3                          1.508775  ...   \n",
+      "4                          0.284005  ...   \n",
+      "..                              ...  ...   \n",
+      "294                        0.000000  ...   \n",
+      "295                        0.000000  ...   \n",
+      "296                        0.000000  ...   \n",
+      "297                        0.388479  ...   \n",
+      "298                        0.000000  ...   \n",
+      "\n",
+      "     Plant_Cell_Wall_Component_Catabolism  \\\n",
+      "0                                0.000000   \n",
+      "1                               -0.000151   \n",
+      "2                                0.000000   \n",
+      "3                               -0.000004   \n",
+      "4                               -0.141530   \n",
+      "..                                    ...   \n",
+      "294                              0.000000   \n",
+      "295                              0.000000   \n",
+      "296                              0.000000   \n",
+      "297                             -0.000034   \n",
+      "298                              0.000000   \n",
+      "\n",
+      "     Periplasmic_Phosphatase_to_Import_G6P  Cell_Wall_Component_Biosynthesis  \\\n",
+      "0                                 0.000000                          0.000000   \n",
+      "1                                -0.000151                         -0.000151   \n",
+      "2                                 0.000000                          0.000000   \n",
+      "3                                -0.000027                         -0.000027   \n",
+      "4                                -0.141560                         -0.141560   \n",
+      "..                                     ...                               ...   \n",
+      "294                               0.000000                          0.000000   \n",
+      "295                               0.000000                          0.000000   \n",
+      "296                               0.000000                          0.000000   \n",
+      "297                              -0.000034                         -0.000034   \n",
+      "298                               0.000000                          0.000000   \n",
+      "\n",
+      "     Galactose_Deg_Cell_Envelope_Biosynth  \\\n",
+      "0                                0.000000   \n",
+      "1                               -0.000151   \n",
+      "2                                0.000000   \n",
+      "3                               -0.067683   \n",
+      "4                               -0.189158   \n",
+      "..                                    ...   \n",
+      "294                              0.000000   \n",
+      "295                              0.000000   \n",
+      "296                              0.000000   \n",
+      "297                              0.006861   \n",
+      "298                              0.000000   \n",
+      "\n",
+      "     Outer_Membrane_Generic_Ion+Sugar_Transport_Lambda_Receptor  \\\n",
+      "0                                             0.000000            \n",
+      "1                                            -0.000151            \n",
+      "2                                             0.000000            \n",
+      "3                                            -0.001548            \n",
+      "4                                            -0.116069            \n",
+      "..                                                 ...            \n",
+      "294                                           0.000000            \n",
+      "295                                           0.000000            \n",
+      "296                                           0.000000            \n",
+      "297                                          -0.014094            \n",
+      "298                                           0.000000            \n",
+      "\n",
+      "     N-acetylglucosamine_degradation_I  \\\n",
+      "0                             0.000000   \n",
+      "1                            -0.000151   \n",
+      "2                             0.000000   \n",
+      "3                             0.014393   \n",
+      "4                            -0.122813   \n",
+      "..                                 ...   \n",
+      "294                           0.000000   \n",
+      "295                           0.000000   \n",
+      "296                           0.000000   \n",
+      "297                          -0.000034   \n",
+      "298                           0.000000   \n",
+      "\n",
+      "     putrescine_(ubiquitious_regulator)_biosynthesis  \\\n",
+      "0                                           0.000000   \n",
+      "1                                          -0.000151   \n",
+      "2                                           0.000000   \n",
+      "3                                          -0.028295   \n",
+      "4                                          -0.176768   \n",
+      "..                                               ...   \n",
+      "294                                         0.000000   \n",
+      "295                                         0.000000   \n",
+      "296                                         0.000000   \n",
+      "297                                        -0.002521   \n",
+      "298                                         0.000000   \n",
+      "\n",
+      "     anaerobic_growth_using_TMAO_as_acceptor  \\\n",
+      "0                                   2.393130   \n",
+      "1                                  -0.001338   \n",
+      "2                                   0.000000   \n",
+      "3                                   0.052692   \n",
+      "4                                  -0.025370   \n",
+      "..                                       ...   \n",
+      "294                                 0.000000   \n",
+      "295                                 0.000000   \n",
+      "296                                 0.000000   \n",
+      "297                                 0.000000   \n",
+      "298                                 0.000000   \n",
+      "\n",
+      "     gluconoride_transport_+_gluconoride_and_gluconorate_catabolism   CONTROL  \n",
+      "0                                             0.000000               0.000000  \n",
+      "1                                            -0.000151               1.660591  \n",
+      "2                                             0.000000               0.000000  \n",
+      "3                                            -0.000027               1.357405  \n",
+      "4                                            -0.141560               2.872178  \n",
+      "..                                                 ...                    ...  \n",
+      "294                                           0.000000               0.000000  \n",
+      "295                                           0.000000               0.000000  \n",
+      "296                                           0.000000               0.000000  \n",
+      "297                                          -0.000034               2.902197  \n",
+      "298                                           0.000000               0.000000  \n",
+      "\n",
+      "[299 rows x 73 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pathway_df = pd.DataFrame()\n",
+    "firstDone = False\n",
+    "\n",
+    "for index, row in heatmap_df.iterrows():\n",
+    "    rxn = clean_name(row['Reactions'])\n",
+    "    gne = get_gene_from_reaction(rxn)\n",
+    "    if gne is None:\n",
+    "        continue\n",
+    "\n",
+    "    pathway = get_pathway_from_gene(gne)\n",
+    "    if pathway is None:\n",
+    "        continue\n",
+    "\n",
+    "    if firstDone and pathway in pathway_df['Pathways'].values:\n",
+    "        continue\n",
+    "\n",
+    "    reactions_list = get_reactions_from_pathway(pathway)\n",
+    "    append_dict = {'Pathways': pathway}\n",
+    "    for col in heatmap_df.columns:\n",
+    "        sum = 0\n",
+    "        count = 0\n",
+    "        if col != 'Reactions':\n",
+    "            for reac in reactions_list:\n",
+    "                try:\n",
+    "                    row_number = heatmap_df[heatmap_df['Reactions'] == reac].index[0]\n",
+    "                except IndexError:\n",
+    "                    try:\n",
+    "                        row_number = heatmap_df[heatmap_df['Reactions'].str.contains(reac)].index[0]\n",
+    "                    except IndexError:\n",
+    "                        continue\n",
+    "\n",
+    "                count += 1\n",
+    "                if heatmap_df[col].loc[row_number] != 0:\n",
+    "                    sum += math.log(heatmap_df[col].loc[row_number], 10)\n",
+    "                else:\n",
+    "                    sum += 0\n",
+    "\n",
+    "        append_dict[col] = sum / count if count != 0 else 0\n",
+    "    pathway_df = pathway_df.append(append_dict, ignore_index=True)\n",
+    "    firstDone = True\n",
+    "\n",
+    "print(pathway_df)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-11T19:20:56.447587Z",
+     "start_time": "2023-08-11T18:47:59.485610Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [],
+   "source": [
+    "pathway_df.to_csv(rf'out/new_env_analysis/pathway_heatmap.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-11T20:02:25.526579Z",
+     "start_time": "2023-08-11T20:02:25.268604Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
index 0f8979a14..9c941867a 100644
--- a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
+++ b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 102,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:29.636302Z",
-     "start_time": "2023-08-09T21:13:29.520332Z"
+     "end_time": "2023-08-10T22:11:59.252454Z",
+     "start_time": "2023-08-10T22:11:59.131760Z"
     }
    },
    "outputs": [],
@@ -38,13 +38,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 103,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 36,
+     "execution_count": 103,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -57,29 +57,29 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:29.920190Z",
-     "start_time": "2023-08-09T21:13:29.539891Z"
+     "end_time": "2023-08-10T22:12:00.617133Z",
+     "start_time": "2023-08-10T22:11:59.143165Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 104,
    "outputs": [],
    "source": [
-    "env_name = 'Nitrate_as_reduction_target'"
+    "env_name = 'Galactose_Active_Transport'"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:29.971108Z",
-     "start_time": "2023-08-09T21:13:29.935510Z"
+     "end_time": "2023-08-10T22:12:00.663600Z",
+     "start_time": "2023-08-10T22:12:00.620091Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 105,
    "outputs": [],
    "source": [
     "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
@@ -93,14 +93,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:30.054286Z",
-     "start_time": "2023-08-09T21:13:29.952187Z"
+     "end_time": "2023-08-10T22:12:00.828037Z",
+     "start_time": "2023-08-10T22:12:00.664514Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 106,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -137,14 +137,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:35.247146Z",
-     "start_time": "2023-08-09T21:13:30.020158Z"
+     "end_time": "2023-08-10T22:12:09.558194Z",
+     "start_time": "2023-08-10T22:12:00.741638Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 107,
    "outputs": [],
    "source": [
     "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
@@ -153,14 +153,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:49.389572Z",
-     "start_time": "2023-08-09T21:13:35.248877Z"
+     "end_time": "2023-08-10T22:12:21.761835Z",
+     "start_time": "2023-08-10T22:12:09.563867Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 108,
    "outputs": [],
    "source": [
     "G = nx.DiGraph()\n",
@@ -247,14 +247,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:49.420918Z",
-     "start_time": "2023-08-09T21:13:49.410126Z"
+     "end_time": "2023-08-10T22:12:21.792210Z",
+     "start_time": "2023-08-10T22:12:21.787101Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 109,
    "outputs": [],
    "source": [
     "def plot_reaction(G, reaction, flux, color):\n",
@@ -277,14 +277,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:49.436679Z",
-     "start_time": "2023-08-09T21:13:49.425243Z"
+     "end_time": "2023-08-10T22:12:21.812507Z",
+     "start_time": "2023-08-10T22:12:21.799634Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 110,
    "outputs": [],
    "source": [
     "def get_pathway_from_metabolite(met):\n",
@@ -311,14 +311,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:49.443994Z",
-     "start_time": "2023-08-09T21:13:49.439474Z"
+     "end_time": "2023-08-10T22:12:21.848170Z",
+     "start_time": "2023-08-10T22:12:21.807378Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 111,
    "outputs": [],
    "source": [
     "def clean_reaction_name(reaction):\n",
@@ -346,21 +346,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:49.479853Z",
-     "start_time": "2023-08-09T21:13:49.453485Z"
+     "end_time": "2023-08-10T22:12:21.848901Z",
+     "start_time": "2023-08-10T22:12:21.830303Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 112,
    "outputs": [],
    "source": [
     "def plot_metabolite(G, metabolite, heatmap_df):\n",
     "    index = metabolites_idx[metabolite]\n",
     "    to_return = []\n",
     "    for k in range(reaction_length):\n",
-    "        if stoichiometry[index, k] > 0:\n",
+    "        if stoichiometry[index, k] < 0:\n",
     "            reaction = index_to_rxn[k]\n",
     "            clean_reaction = clean_reaction_name(reaction)\n",
     "\n",
@@ -370,9 +370,12 @@
     "            except IndexError:\n",
     "                flux_num = 0\n",
     "\n",
+    "            if abs(flux_num) < 0.2:\n",
+    "                continue\n",
+    "\n",
     "            color = 'black'\n",
     "\n",
-    "            G.add_edge(clean_reaction, metabolite, color=color, title=flux_num)\n",
+    "            G.add_edge(metabolite, clean_reaction, color=color, title=flux_num)\n",
     "            for l in range(met_length):\n",
     "                if stoichiometry[l, k] < 0:\n",
     "                    if l != index and l not in do_not_include:\n",
@@ -389,19 +392,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:13:49.481377Z",
-     "start_time": "2023-08-09T21:13:49.468427Z"
+     "end_time": "2023-08-10T22:12:21.857368Z",
+     "start_time": "2023-08-10T22:12:21.856455Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 113,
    "outputs": [],
    "source": [
     "# Change K here to select the top k reactions/pathways to plot\n",
     "\n",
-    "k = 5\n",
+    "k = 7\n",
     "green_offset = 0\n",
     "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
     "top_increase = [heatmap_df.iloc[i, 0] for i in range(k + green_offset)]\n",
@@ -436,14 +439,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:14:02.725884Z",
-     "start_time": "2023-08-09T21:13:49.516878Z"
+     "end_time": "2023-08-10T22:12:57.789848Z",
+     "start_time": "2023-08-10T22:12:21.861624Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 114,
    "outputs": [],
    "source": [
     "# Add interesting extra metabolites to examine here\n",
@@ -463,28 +466,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:14:02.737016Z",
-     "start_time": "2023-08-09T21:14:02.733171Z"
+     "end_time": "2023-08-10T22:12:57.798341Z",
+     "start_time": "2023-08-10T22:12:57.794795Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 115,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_5_graph.html\n"
+      "out/new_env_analysis/pathway_visualization/Galactose_Active_Transport_pathway_7_graph.html\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.lib.display.IFrame at 0x161c96e80>",
-      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_5_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+      "text/plain": "<IPython.lib.display.IFrame at 0x15b547dc0>",
+      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Galactose_Active_Transport_pathway_7_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
      },
-     "execution_count": 48,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -515,21 +518,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:14:02.901942Z",
-     "start_time": "2023-08-09T21:14:02.768088Z"
+     "end_time": "2023-08-10T22:12:57.969016Z",
+     "start_time": "2023-08-10T22:12:57.815923Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 115,
    "outputs": [],
    "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-09T21:14:02.908722Z",
-     "start_time": "2023-08-09T21:14:02.903346Z"
+     "end_time": "2023-08-10T22:12:57.976292Z",
+     "start_time": "2023-08-10T22:12:57.970664Z"
     }
    }
   }

From 9b8e699320e79241feb2d4897caf918365aaf117 Mon Sep 17 00:00:00 2001
From: SilentDawn <tim.z.jing@gmail.com>
Date: Thu, 17 Aug 2023 11:26:48 -0700
Subject: [PATCH 58/58] Initial plotting of pathways as nodes

---
 .../pathway_visualization.ipynb               | 110 ++---
 .../plotting_pathways_no_reaction.ipynb       | 464 ++++++++++++++++++
 2 files changed, 519 insertions(+), 55 deletions(-)
 create mode 100644 ecoli/experiments/new_environments_test/plotting_pathways_no_reaction.ipynb

diff --git a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
index 9c941867a..875ad56a9 100644
--- a/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
+++ b/ecoli/experiments/new_environments_test/pathway_visualization.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 15,
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:11:59.252454Z",
-     "start_time": "2023-08-10T22:11:59.131760Z"
+     "end_time": "2023-08-14T23:15:00.189747Z",
+     "start_time": "2023-08-14T23:14:59.999452Z"
     }
    },
    "outputs": [],
@@ -38,13 +38,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 16,
    "outputs": [
     {
      "data": {
       "text/plain": "<Response [200]>"
      },
-     "execution_count": 103,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -57,29 +57,29 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:00.617133Z",
-     "start_time": "2023-08-10T22:11:59.143165Z"
+     "end_time": "2023-08-14T23:15:00.642405Z",
+     "start_time": "2023-08-14T23:15:00.034913Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 17,
    "outputs": [],
    "source": [
-    "env_name = 'Galactose_Active_Transport'"
+    "env_name = 'Nitrate_as_reduction_target'"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:00.663600Z",
-     "start_time": "2023-08-10T22:12:00.620091Z"
+     "end_time": "2023-08-14T23:15:00.643968Z",
+     "start_time": "2023-08-14T23:15:00.641548Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 18,
    "outputs": [],
    "source": [
     "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
@@ -93,14 +93,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:00.828037Z",
-     "start_time": "2023-08-10T22:12:00.664514Z"
+     "end_time": "2023-08-14T23:15:00.722598Z",
+     "start_time": "2023-08-14T23:15:00.649390Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 19,
    "outputs": [],
    "source": [
     "time = '50'\n",
@@ -137,14 +137,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:09.558194Z",
-     "start_time": "2023-08-10T22:12:00.741638Z"
+     "end_time": "2023-08-14T23:15:08.276493Z",
+     "start_time": "2023-08-14T23:15:00.737606Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 20,
    "outputs": [],
    "source": [
     "heatmap_df = pd.read_excel(\"out/new_env_analysis/heatmap.xlsx\")\n",
@@ -153,14 +153,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:21.761835Z",
-     "start_time": "2023-08-10T22:12:09.563867Z"
+     "end_time": "2023-08-14T23:15:20.684632Z",
+     "start_time": "2023-08-14T23:15:08.284651Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 21,
    "outputs": [],
    "source": [
     "G = nx.DiGraph()\n",
@@ -247,14 +247,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:21.792210Z",
-     "start_time": "2023-08-10T22:12:21.787101Z"
+     "end_time": "2023-08-14T23:15:20.713812Z",
+     "start_time": "2023-08-14T23:15:20.685178Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 22,
    "outputs": [],
    "source": [
     "def plot_reaction(G, reaction, flux, color):\n",
@@ -277,14 +277,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:21.812507Z",
-     "start_time": "2023-08-10T22:12:21.799634Z"
+     "end_time": "2023-08-14T23:15:20.739598Z",
+     "start_time": "2023-08-14T23:15:20.718809Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 23,
    "outputs": [],
    "source": [
     "def get_pathway_from_metabolite(met):\n",
@@ -311,14 +311,14 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:21.848170Z",
-     "start_time": "2023-08-10T22:12:21.807378Z"
+     "end_time": "2023-08-14T23:15:20.775007Z",
+     "start_time": "2023-08-14T23:15:20.733394Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 24,
    "outputs": [],
    "source": [
     "def clean_reaction_name(reaction):\n",
@@ -346,21 +346,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:21.848901Z",
-     "start_time": "2023-08-10T22:12:21.830303Z"
+     "end_time": "2023-08-14T23:15:20.775775Z",
+     "start_time": "2023-08-14T23:15:20.750017Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 25,
    "outputs": [],
    "source": [
     "def plot_metabolite(G, metabolite, heatmap_df):\n",
     "    index = metabolites_idx[metabolite]\n",
     "    to_return = []\n",
     "    for k in range(reaction_length):\n",
-    "        if stoichiometry[index, k] < 0:\n",
+    "        if stoichiometry[index, k] > 0:\n",
     "            reaction = index_to_rxn[k]\n",
     "            clean_reaction = clean_reaction_name(reaction)\n",
     "\n",
@@ -375,7 +375,7 @@
     "\n",
     "            color = 'black'\n",
     "\n",
-    "            G.add_edge(metabolite, clean_reaction, color=color, title=flux_num)\n",
+    "            G.add_edge(clean_reaction, metabolite, color=color, title=flux_num)\n",
     "            for l in range(met_length):\n",
     "                if stoichiometry[l, k] < 0:\n",
     "                    if l != index and l not in do_not_include:\n",
@@ -392,19 +392,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:21.857368Z",
-     "start_time": "2023-08-10T22:12:21.856455Z"
+     "end_time": "2023-08-14T23:15:20.776121Z",
+     "start_time": "2023-08-14T23:15:20.765890Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 26,
    "outputs": [],
    "source": [
     "# Change K here to select the top k reactions/pathways to plot\n",
     "\n",
-    "k = 7\n",
+    "k = 6\n",
     "green_offset = 0\n",
     "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
     "top_increase = [heatmap_df.iloc[i, 0] for i in range(k + green_offset)]\n",
@@ -439,19 +439,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:57.789848Z",
-     "start_time": "2023-08-10T22:12:21.861624Z"
+     "end_time": "2023-08-14T23:15:34.557185Z",
+     "start_time": "2023-08-14T23:15:20.838942Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 27,
    "outputs": [],
    "source": [
     "# Add interesting extra metabolites to examine here\n",
     "met_level = 1\n",
-    "extra_metabolites = []\n",
+    "extra_metabolites = [\"AMMONIUM[c]\"]\n",
     "temp = []\n",
     "\n",
     "for i in range(met_level):\n",
@@ -466,28 +466,28 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:57.798341Z",
-     "start_time": "2023-08-10T22:12:57.794795Z"
+     "end_time": "2023-08-14T23:15:34.840125Z",
+     "start_time": "2023-08-14T23:15:34.657579Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 28,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "out/new_env_analysis/pathway_visualization/Galactose_Active_Transport_pathway_7_graph.html\n"
+      "out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_6_graph.html\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.lib.display.IFrame at 0x15b547dc0>",
-      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Galactose_Active_Transport_pathway_7_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+      "text/plain": "<IPython.lib.display.IFrame at 0x156695340>",
+      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_visualization/Nitrate_as_reduction_target_pathway_6_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
      },
-     "execution_count": 115,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -518,21 +518,21 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:57.969016Z",
-     "start_time": "2023-08-10T22:12:57.815923Z"
+     "end_time": "2023-08-14T23:15:35.067489Z",
+     "start_time": "2023-08-14T23:15:34.852074Z"
     }
    }
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 28,
    "outputs": [],
    "source": [],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-08-10T22:12:57.976292Z",
-     "start_time": "2023-08-10T22:12:57.970664Z"
+     "end_time": "2023-08-14T23:15:35.117234Z",
+     "start_time": "2023-08-14T23:15:35.069332Z"
     }
    }
   }
diff --git a/ecoli/experiments/new_environments_test/plotting_pathways_no_reaction.ipynb b/ecoli/experiments/new_environments_test/plotting_pathways_no_reaction.ipynb
new file mode 100644
index 000000000..baa1744cc
--- /dev/null
+++ b/ecoli/experiments/new_environments_test/plotting_pathways_no_reaction.ipynb
@@ -0,0 +1,464 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 249,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:42.836924Z",
+     "start_time": "2023-08-16T22:14:42.809427Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "from pyvis.network import Network\n",
+    "import math\n",
+    "import community as community_louvain\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "\n",
+    "os.chdir(os.path.expanduser('~/Documents/vivarium-ecoli'))\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import dill\n",
+    "import xmltodict\n",
+    "import os\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "from ecoli.processes.metabolism_redux import NetworkFlowModel, FlowResult, MetabolismRedux\n",
+    "\n",
+    "\n",
+    "FREE_RXNS = [\"TRANS-RXN-145\", \"TRANS-RXN0-545\", \"TRANS-RXN0-474\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 250,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Response [200]>"
+     },
+     "execution_count": 250,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = requests.Session() # create session\n",
+    "# Post login credentials to session:\n",
+    "s.post('https://websvc.biocyc.org/credentials/login/', data={'email':'cellulararchitect@protonmail.com', 'password':'Cellman0451'})"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:43.123930Z",
+     "start_time": "2023-08-16T22:14:42.825869Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 251,
+   "outputs": [],
+   "source": [
+    "env_name = 'Nitrate_as_reduction_target'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:43.133255Z",
+     "start_time": "2023-08-16T22:14:43.127851Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 252,
+   "outputs": [],
+   "source": [
+    "condition_df = pd.read_excel(\"ecoli/experiments/new_environments_test/done.xlsx\")\n",
+    "condition_df[\"Add\"] = condition_df[\"Add\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "condition_df[\"Remove\"] = condition_df[\"Remove\"].apply(lambda x: set(str(x).split(\", \") if x == x else set()))\n",
+    "\n",
+    "row_num = condition_df[condition_df['Environment'] == env_name].index[0]\n",
+    "important_add = condition_df[\"Add\"].loc[row_num]\n",
+    "important_remove = condition_df[\"Remove\"].loc[row_num]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:43.220612Z",
+     "start_time": "2023-08-16T22:14:43.137905Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 253,
+   "outputs": [],
+   "source": [
+    "time = '50'\n",
+    "date = '2023-07-21'\n",
+    "experiment = 'fba_new_environments'\n",
+    "entry = f'{experiment}_{env_name}_{time}_{date}'\n",
+    "folder = f'out/fba_new_env/{entry}/'\n",
+    "\n",
+    "f = open(folder + 'agent_steps.pkl', 'rb')\n",
+    "agent = dill.load(f)\n",
+    "f.close()\n",
+    "\n",
+    "metabolism = agent['ecoli-metabolism-redux']\n",
+    "stoichiometry = metabolism.stoichiometry\n",
+    "\n",
+    "output = np.load(folder + 'output.npy',allow_pickle='TRUE').item()\n",
+    "output = output['agents']['0']\n",
+    "fba = output['listeners']['fba_results']\n",
+    "mass = output['listeners']['mass']\n",
+    "bulk = pd.DataFrame(output['bulk'])\n",
+    "\n",
+    "sim_fluxes = pd.DataFrame(fba[\"estimated_fluxes\"], columns = metabolism.reaction_names)\n",
+    "sim_fluxes = pd.DataFrame(sim_fluxes.loc[24, :].abs().sort_values(ascending=False))\n",
+    "\n",
+    "metabolites_idx = {species: i for i, species in enumerate(metabolism.metabolite_names)}\n",
+    "index_to_met = {v: k for k, v in metabolites_idx.items()}\n",
+    "\n",
+    "reaction_idx = {reaction: i for i, reaction in enumerate(metabolism.reaction_names)}\n",
+    "index_to_rxn = {v: k for k, v in reaction_idx.items()}\n",
+    "\n",
+    "metabolism.catalyst_ids = metabolism.parameters['catalyst_ids']\n",
+    "catalyst_idx = {catalyst: i for i, catalyst in enumerate(metabolism.catalyst_ids)}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:51.641749Z",
+     "start_time": "2023-08-16T22:14:43.238530Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 254,
+   "outputs": [],
+   "source": [
+    "heatmap_df = pd.read_excel(\"out/new_env_analysis/pathway_heatmap.xlsx\")\n",
+    "heatmap_df = heatmap_df[heatmap_df[env_name] != 0]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:52.316743Z",
+     "start_time": "2023-08-16T22:14:51.647040Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 255,
+   "outputs": [],
+   "source": [
+    "G = nx.DiGraph()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:52.334222Z",
+     "start_time": "2023-08-16T22:14:52.323572Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 277,
+   "outputs": [],
+   "source": [
+    "def find_connecting_reactions(one, two):\n",
+    "    one_reactions = []\n",
+    "    two_reactions = []\n",
+    "    try:\n",
+    "        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{one}&detail=low\"\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Pathway']['reaction-list']['Reaction']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for rxn in o:\n",
+    "            one_reactions.append(rxn['@frameid'])\n",
+    "\n",
+    "        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{two}&detail=low\"\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Pathway']['reaction-list']['Reaction']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        for rxn in o:\n",
+    "            two_reactions.append(rxn['@frameid'])\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    intersection = set(one_reactions).intersection(set(two_reactions))\n",
+    "    print(intersection)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T23:13:44.746521Z",
+     "start_time": "2023-08-16T23:13:44.731300Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 279,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "set()\n"
+     ]
+    }
+   ],
+   "source": [
+    "find_connecting_reactions(\"PWY0-1335\", \"PWY-7219\")"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T23:13:59.934754Z",
+     "start_time": "2023-08-16T23:13:59.482930Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 278,
+   "outputs": [],
+   "source": [
+    "def get_pathway_name(pathway):\n",
+    "    try:\n",
+    "        req_str = f\"https://websvc.biocyc.org/getxml?id=ECOLI:{pathway}&detail=low\"\n",
+    "        r = s.get(req_str)\n",
+    "        o = xmltodict.parse(r.content)['ptools-xml']['Pathway']['common-name']['#text']\n",
+    "        if type(o) is dict:\n",
+    "            o = [o]\n",
+    "\n",
+    "        return o\n",
+    "    except KeyError:\n",
+    "        pass\n",
+    "    except Exception:\n",
+    "        pass"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T23:13:46.482540Z",
+     "start_time": "2023-08-16T23:13:46.475923Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 257,
+   "outputs": [],
+   "source": [
+    "# Change K here to select the top k reactions/pathways to plot\n",
+    "k = 100\n",
+    "heatmap_df.sort_values(by=[env_name], ascending=False, inplace=True)\n",
+    "top_increase = [heatmap_df.iloc[i, 1] for i in range(k)]\n",
+    "bottom_increase = [heatmap_df.iloc[i, 1] for i in range(-1, -1*k - 1, -1)]\n",
+    "\n",
+    "if \"Non-zero Values for each environment\" in top_increase:\n",
+    "    top_increase.remove(\"Non-zero Values for each environment\")\n",
+    "elif \"Non-zero Values for each environment\" in bottom_increase:\n",
+    "    bottom_increase.remove(\"Non-zero Values for each environment\")\n",
+    "\n",
+    "count = 0\n",
+    "for pathway in top_increase:\n",
+    "    row = heatmap_df[heatmap_df['Pathways'] == pathway].index[0]\n",
+    "    flux = heatmap_df[env_name].loc[row]\n",
+    "    name = get_pathway_name(pathway)\n",
+    "\n",
+    "    color = \"green\"\n",
+    "    if flux < 0 or abs(flux) < 0.1:\n",
+    "        break\n",
+    "\n",
+    "    G.add_node(count, label=name, size=abs(flux*30), color=color, title=pathway)\n",
+    "    count += 1\n",
+    "\n",
+    "for pathway in bottom_increase:\n",
+    "    row = heatmap_df[heatmap_df['Pathways'] == pathway].index[0]\n",
+    "    flux = heatmap_df[env_name].loc[row]\n",
+    "    name = get_pathway_name(pathway)\n",
+    "\n",
+    "    color = \"red\"\n",
+    "    if flux > 0 or abs(flux) < 0.1:\n",
+    "        break\n",
+    "\n",
+    "    G.add_node(count, label=pathway, size=abs(flux*30), color=color, title=pathway)\n",
+    "    count += 1\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:59.012437Z",
+     "start_time": "2023-08-16T22:14:52.386355Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 258,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'label': 'NADH to fumarate electron transfer', 'size': 71.2772610480168, 'color': 'green', 'title': 'PWY0-1336'}\n",
+      "{'label': 'NADH to dimethyl sulfoxide electron transfer', 'size': 71.2772610480168, 'color': 'green', 'title': 'PWY0-1348'}\n",
+      "{'label': 'nitrate reduction III (dissimilatory)', 'size': 61.8855509774106, 'color': 'green', 'title': 'PWY0-1321'}\n",
+      "{'label': 'L-alanine degradation I', 'size': 56.269925742461396, 'color': 'green', 'title': 'ALADEG-PWY'}\n",
+      "{'label': 'L-aspartate degradation III (anaerobic)', 'size': 38.9882754774837, 'color': 'green', 'title': 'PWY-8294'}\n",
+      "{'label': 'UMP biosynthesis I', 'size': 12.63840817311879, 'color': 'green', 'title': 'PWY-5686'}\n",
+      "{'label': 'glycolysis II (from fructose 6-phosphate)', 'size': 8.54316559689027, 'color': 'green', 'title': 'PWY-5484'}\n",
+      "{'label': 'superpathway of glycolysis, pyruvate dehydrogenase, TCA, and glyoxylate bypass', 'size': 8.15241469630458, 'color': 'green', 'title': 'GLYCOLYSIS-TCA-GLYOX-BYPASS'}\n",
+      "{'label': 'glycolysis I (from glucose 6-phosphate)', 'size': 7.2288324281379, 'color': 'green', 'title': 'GLYCOLYSIS'}\n",
+      "{'label': 'glycerol degradation V', 'size': 5.74187594311098, 'color': 'green', 'title': 'GLYCEROLMETAB-PWY'}\n",
+      "{'label': 'palmitate biosynthesis II (type II fatty acid synthase)', 'size': 5.73620381333175, 'color': 'green', 'title': 'PWY-5971'}\n",
+      "{'label': 'PWY0-1335', 'size': 44.2617922591245, 'color': 'red', 'title': 'PWY0-1335'}\n",
+      "{'label': 'PWY-6519', 'size': 37.4146384464336, 'color': 'red', 'title': 'PWY-6519'}\n",
+      "{'label': 'PWY-5755', 'size': 25.81014019712985, 'color': 'red', 'title': 'PWY-5755'}\n",
+      "{'label': 'ASPARTATESYN-PWY', 'size': 20.96667872774646, 'color': 'red', 'title': 'ASPARTATESYN-PWY'}\n",
+      "{'label': 'PWY-6890', 'size': 19.445751372008793, 'color': 'red', 'title': 'PWY-6890'}\n",
+      "{'label': 'PWY-6894', 'size': 19.445751372008793, 'color': 'red', 'title': 'PWY-6894'}\n",
+      "{'label': 'MENAQUINONESYN-PWY', 'size': 18.777288054644792, 'color': 'red', 'title': 'MENAQUINONESYN-PWY'}\n",
+      "{'label': 'ACETOACETATE-DEG-PWY', 'size': 18.70731922321689, 'color': 'red', 'title': 'ACETOACETATE-DEG-PWY'}\n",
+      "{'label': 'PWY0-1507', 'size': 18.70731922321689, 'color': 'red', 'title': 'PWY0-1507'}\n",
+      "{'label': 'PWY0-43', 'size': 17.07570176097936, 'color': 'red', 'title': 'PWY0-43'}\n",
+      "{'label': 'PWY-5785', 'size': 16.95500652742509, 'color': 'red', 'title': 'PWY-5785'}\n",
+      "{'label': 'PWY-6892', 'size': 16.52189630345277, 'color': 'red', 'title': 'PWY-6892'}\n",
+      "{'label': 'PWY-6614', 'size': 13.05687280174458, 'color': 'red', 'title': 'PWY-6614'}\n",
+      "{'label': 'PWY-6543', 'size': 13.05687280174458, 'color': 'red', 'title': 'PWY-6543'}\n",
+      "{'label': 'PWY-6147', 'size': 13.05687280174458, 'color': 'red', 'title': 'PWY-6147'}\n",
+      "{'label': 'PWY-5783', 'size': 12.513699751331309, 'color': 'red', 'title': 'PWY-5783'}\n",
+      "{'label': 'PWY-5852', 'size': 12.513699751331309, 'color': 'red', 'title': 'PWY-5852'}\n",
+      "{'label': 'HEMESYN2-PWY', 'size': 12.32389660614708, 'color': 'red', 'title': 'HEMESYN2-PWY'}\n",
+      "{'label': 'PWY-7220', 'size': 11.69181439176759, 'color': 'red', 'title': 'PWY-7220'}\n",
+      "{'label': 'PWY-5123', 'size': 11.67112841629254, 'color': 'red', 'title': 'PWY-5123'}\n",
+      "{'label': 'PWY0-1280', 'size': 11.04388633583199, 'color': 'red', 'title': 'PWY0-1280'}\n",
+      "{'label': 'PWY-5837', 'size': 10.72602835828398, 'color': 'red', 'title': 'PWY-5837'}\n",
+      "{'label': 'RIBOSYN2-PWY', 'size': 10.50688991739423, 'color': 'red', 'title': 'RIBOSYN2-PWY'}\n",
+      "{'label': 'GLUTDEG-PWY', 'size': 10.48333936387323, 'color': 'red', 'title': 'GLUTDEG-PWY'}\n",
+      "{'label': 'TCA', 'size': 10.2846064911531, 'color': 'red', 'title': 'TCA'}\n",
+      "{'label': 'PWY0-1353', 'size': 9.988891674811649, 'color': 'red', 'title': 'PWY0-1353'}\n",
+      "{'label': 'PWY0-1329', 'size': 9.988891674811649, 'color': 'red', 'title': 'PWY0-1329'}\n",
+      "{'label': 'PWY-5194', 'size': 9.38864402732238, 'color': 'red', 'title': 'PWY-5194'}\n",
+      "{'label': 'PWY0-1569', 'size': 9.09653645436471, 'color': 'red', 'title': 'PWY0-1569'}\n",
+      "{'label': 'PYRIDOXSYN-PWY', 'size': 8.75818505831154, 'color': 'red', 'title': 'PYRIDOXSYN-PWY'}\n",
+      "{'label': 'PWY-7222', 'size': 6.78931522186944, 'color': 'red', 'title': 'PWY-7222'}\n",
+      "{'label': 'PWY-6897', 'size': 6.48191712400293, 'color': 'red', 'title': 'PWY-6897'}\n",
+      "{'label': 'PWY-5188', 'size': 6.0964412681913895, 'color': 'red', 'title': 'PWY-5188'}\n",
+      "{'label': 'PWY-7346', 'size': 5.9712137137995, 'color': 'red', 'title': 'PWY-7346'}\n",
+      "{'label': 'PWY-5901', 'size': 4.81468187553459, 'color': 'red', 'title': 'PWY-5901'}\n",
+      "{'label': 'HEME-BIOSYNTHESIS-II-1', 'size': 4.69432201366119, 'color': 'red', 'title': 'HEME-BIOSYNTHESIS-II-1'}\n",
+      "{'label': 'PWY-6151', 'size': 4.647533268753749, 'color': 'red', 'title': 'PWY-6151'}\n",
+      "{'label': 'GLYCOLATEMET-PWY', 'size': 4.0320150157578, 'color': 'red', 'title': 'GLYCOLATEMET-PWY'}\n",
+      "{'label': 'PWY-6153', 'size': 3.63861458174586, 'color': 'red', 'title': 'PWY-6153'}\n",
+      "{'label': 'NADPHOS-DEPHOS-PWY', 'size': 3.52182518111361, 'color': 'red', 'title': 'NADPHOS-DEPHOS-PWY'}\n",
+      "{'label': 'PLPSAL-PWY', 'size': 3.30025969152822, 'color': 'red', 'title': 'PLPSAL-PWY'}\n",
+      "{'label': 'PWY-6703', 'size': 3.26421820043613, 'color': 'red', 'title': 'PWY-6703'}\n",
+      "{'label': 'PWY0-1433', 'size': 3.26421820043613, 'color': 'red', 'title': 'PWY0-1433'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "all_nodes = list(G.nodes(data=True))\n",
+    "for node in all_nodes:\n",
+    "    print(node[1])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:59.028993Z",
+     "start_time": "2023-08-16T22:14:59.018057Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 259,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "out/new_env_analysis/pathway_only/Nitrate_as_reduction_target_pathway_100_graph.html\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.lib.display.IFrame at 0x150e57be0>",
+      "text/html": "\n        <iframe\n            width=\"1500px\"\n            height=\"1000px\"\n            src=\"out/new_env_analysis/pathway_only/Nitrate_as_reduction_target_pathway_100_graph.html\"\n            frameborder=\"0\"\n            allowfullscreen\n            \n        ></iframe>\n        "
+     },
+     "execution_count": 259,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nt = Network('1000px', '1500px', notebook=True, cdn_resources='in_line', directed=True)\n",
+    "nt.from_nx(G)\n",
+    "\n",
+    "nt.show_buttons(filter_=['physics'])\n",
+    "nt.show(f'out/new_env_analysis/pathway_only/{env_name}_pathway_{k}_graph.html')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:59.239306Z",
+     "start_time": "2023-08-16T22:14:59.033330Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 259,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2023-08-16T22:14:59.279971Z",
+     "start_time": "2023-08-16T22:14:59.240073Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}