From fdb27b8d8d9d2147a90e8ac21fd2c3e811e0889a Mon Sep 17 00:00:00 2001 From: pradal Date: Tue, 27 Jun 2023 11:34:12 +0200 Subject: [PATCH 1/7] Update to Python 3 --- .gitignore | 138 +++++++++++++++++++++++++++++++++++-------------- setup.py | 4 +- src/rsml/io.py | 5 +- test/test.py | 10 ++-- 4 files changed, 108 insertions(+), 49 deletions(-) diff --git a/.gitignore b/.gitignore index 54dadb0..b157d06 100644 --- a/.gitignore +++ b/.gitignore @@ -1,45 +1,103 @@ -# Compiled source # -################### -*.com -*.class -*.dll -*.exe -*.o +# {# pkglts, github +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] + +# pkglts files +.pkglts/info.log* + +# Packages +*.egg +*.egg-info +.eggs +.Python +*.pth +dist/ +build/ +env/ +downloads/ +eggs/ +parts/ +bin/ +var/ +sdist/ +develop-eggs/ +.installed.cfg +lib/ +lib64/ + +# editors +.idea/ + +# Vim files +*.swp +*.*~ + +# Mr Developer +.mr.developer.cfg +.project +.pydevproject +.settings + + +# C extensions *.so +*.dll +*.dylib + +# Compiled Static libraries +*.lai +*.la +*.a + +# Compiled Object files +*.os + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec -# Packages # -############ -# it's better to unpack these files and commit the raw source -# git has its own built in compression methods -*.7z -*.dmg -*.gz -*.iso -*.jar -*.rar -*.tar -*.zip - -# Logs and databases # -###################### +# Installer logs +pip-log.txt +pip-delete-this-directory.txt +.amlog +.sconsign.dblite + +# Translations +*.mo +*.pot + +# Django stuff: *.log -*.sql -*.sqlite -# OS generated files # -###################### +# PyBuilder +target/ + +# jupyter notebooks +.ipynb_checkpoints/ + +# svn +.svn +.cache/ + +# coverage +.coverage + +# sphinx autogen file +doc/_dvlpt/ + + +# #} + +# user custom filters + +# Notebook +.ipynb_checkpoints/ + +# Mac .DS_Store -.DS_Store? -._* -.Spotlight-V100 -.Trashes -ehthumbs.db -Thumbs.db - -# tmp # -####### -*.pyc -*~ - -./share/data/rsml -src/RSML.egg-info +# VS Code +.vscode +*.code-workspace diff --git a/setup.py b/setup.py index c55ca17..acf2041 100644 --- a/setup.py +++ b/setup.py @@ -6,13 +6,13 @@ from setuptools import setup, find_packages # Define metainfo -version = '1.1.2' +version = '1.1.3' name = 'RSML' package = 'RSML' description= 'RSML package provide IO functionality between .rsml file and MTG' long_description= 'RSML package provide IO functionality between .rsml file and MTG, as well as ploting and standard measurements.' authors= 'C. Pradal, J. Diener' -authors_email = 'christophe.pradal@inria.fr' +authors_email = 'christophe.pradal at cirad.fr' url = 'https://github.com/openalea/RSML' license = 'Cecill-C' diff --git a/src/rsml/io.py b/src/rsml/io.py index 574af5c..8f5b605 100644 --- a/src/rsml/io.py +++ b/src/rsml/io.py @@ -211,12 +211,13 @@ def point(self, elts, **properties): poly = self._polyline point = [] if properties: - coords = ['x', 'y', 'z'] + coords = ['x', 'y', 'z', 't'] + coords.extend(['coord_x', 'coord_y', 'coord_z', 'coord_t']) point = [float(properties[c]) for c in coords if c in properties] else: point = [float(elt.text) for elt in elts] poly.append(point) - + print('point', point) self._node.geometry = poly def functions(self, elts, **properties): diff --git a/test/test.py b/test/test.py index e576c7a..d311d85 100644 --- a/test/test.py +++ b/test/test.py @@ -14,7 +14,7 @@ fn= files[N] -print "read ", fn +print("read ", fn) @@ -23,7 +23,7 @@ def rw(fn, display=False): if display: dump = rsml.Dumper() s = dump.dump(gs) - print s + print(s) rsml.plot3d(gs, img_dir='.') return gs @@ -32,7 +32,7 @@ def rw(fn, display=False): def plot(n=N): fn= files[n] - print "read ", fn + print("read ", fn) gs = rw(fn) @@ -40,7 +40,7 @@ def notest_rootnav(n=0): rootnav_data = data/'rootnav' files = [fn for fn in rootnav_data.glob('*.rsml') if 'old' not in fn] - print 'nb files: ', len(files) + print('nb files: ', len(files)) if n < 0 or n >= len(files): n = 0 @@ -68,7 +68,7 @@ def f2(): files = [fn for fn in data.glob('*.rsml') if 'old' not in fn] fn= files[0] - print "read ", fn + print("read ", fn) def get_file(f, ext='.png'): return f.splitext()[0]+ext From bac938c2ececd2aecea86477d2fa1494628450ad Mon Sep 17 00:00:00 2001 From: pradal Date: Wed, 5 Jul 2023 08:48:49 +0200 Subject: [PATCH 2/7] Fix errors in parsing RSML files silenced using the atch/except --- src/rsml/io.py | 83 +++++++++++++++++++++++++++++++++++++------------- 1 file changed, 61 insertions(+), 22 deletions(-) diff --git a/src/rsml/io.py b/src/rsml/io.py index 8f5b605..e27b469 100644 --- a/src/rsml/io.py +++ b/src/rsml/io.py @@ -58,14 +58,14 @@ def parse(self, filename, debug=False): def dispatch(self, elt): """ Call the suitable function to process `elt` w.r.t to `elt.tag` """ - try: - tag = elt.tag.replace('-','_') - return self.__getattribute__(tag)(list(elt), **elt.attrib) - except Exception as e: - if self.debug: - print(e) - #raise Exception("Unvalid element %s"%elt.tag) - print("Unvalid element %s"%elt.tag) + #try: + tag = elt.tag.replace('-','_') + return self.__getattribute__(tag)(list(elt), **elt.attrib) + #except Exception as e: + # if self.debug: + # print(e) + # #raise Exception("Unvalid element %s"%elt.tag) + # print("Unvalid element %s"%elt.tag) @staticmethod def add_field(elt, my_dict) : @@ -83,18 +83,21 @@ def rsml(self, elts, **properties): def metadata(self, elts, **properties): """ Parse image information """ - + print('metadata') meta = self._metadata = dict() gprop = self._g.graph_properties() + print([elt.tag for elt in elts]) for elt in elts: elt_tag = elt.tag + print(elt_tag) if elt_tag=='last-modified': meta[elt_tag] = str2datetime(elt.text) elif elt_tag in ['version','resolution']: meta[elt_tag] = literal_eval(elt.text) elif elt_tag in ['user','file-key','software','unit']: meta[elt_tag] = elt.text - elif elt.tag in ["property-definitions","time-sequence","image",'private']: + elif elt_tag in ["property-definitions","time-sequence","image",'private']: + print(elt_tag) self.dispatch(elt) elif elt_tag=='mtg_graph_properties': gprop.update(read_xml_tree(elt)) @@ -107,6 +110,7 @@ def property_definitions(self, elts, **properties): """ A plant with parameters and a recursive structure. """ + print('property-definitions') self._propdef = {} for elt in elts: self.dispatch(elt) @@ -122,6 +126,14 @@ def property_definition(self, elts, **properties): if label: self._propdef[label]=prop + def function_definition(self, elts, **properties): + """ A plant with parameters and a recursive structure """ + prop = dict() + for elt in elts: + self.add_field(elt,prop) + label = prop.pop('label') + if label: + self._propdef[label]=prop def time_sequence(self, elts, **properties): """ A plant with parameters and a recursive structure. @@ -168,8 +180,8 @@ def root(self, elts, **attrib): else: axis = parent.add_child(edge_type='+',**attrib) # 2nd+ order - if 'label' not in attrib: - axis.label = 'root' + if ('label' not in attrib) or not(attrib['label']): + axis.label = 'Root' self._node = axis @@ -217,7 +229,7 @@ def point(self, elts, **properties): else: point = [float(elt.text) for elt in elts] poly.append(point) - print('point', point) + #print('point', point) self._node.geometry = poly def functions(self, elts, **properties): @@ -244,14 +256,19 @@ def function(self, elts, **properties): def sample(self, elt, domain): p = elt.attrib - value = float(p['value']) + + if p: + value = float(p['value']) - if domain == "length": - position= float(p['position']) - return (position, value) + if domain == "length": + position= float(p['position']) + return (position, value) + else: + return value else: + value = float(elt.text) return value - + def annotations(self, elts, **properties): """ Annotations attached to a part of the MTG. """ @@ -289,9 +306,21 @@ def __init__(self, name): def str2datetime(str_time): """ convert datetime string to datetime object """ from datetime import datetime as dt - if len(str_time)==10: time_format = '%Y-%m-%d' - else: time_format = '%Y-%m-%dT%H:%M:%S' - return dt.strptime(str_time[:19], time_format) + if len(str_time)==10: + time_format = '%Y-%m-%d' + time_format2 = '%d-%m-%Y' + else: + time_format = '%Y-%m-%d %H:%M:%S' + time_format2 = '%d-%m-%Y %H:%M:%S' + + try: + date = dt.strptime(str_time[:19], time_format) + except: + try: + date = dt.strptime(str_time[:19], time_format2) + except: + date=str_time + return date def read_xml_tree(elt): """ return xml tree `elt` """ @@ -380,10 +409,13 @@ def image(self,metadata): def property_definitions(self, metadata): """ dump property definitions of metadata """ + + print('property definitions') gproperties = metadata.get('property-definitions') if gproperties is None: return + print('property definitions : inside') pdefs = self.SubElement(self.xml_meta, 'property-definitions') for label,prop in gproperties.items(): pdef = self.SubElement(pdefs, tag='property-definition') @@ -392,7 +424,14 @@ def property_definitions(self, metadata): tags = [tag for tag in ['type','unit','default'] if tag in tags] for tag in tags: self.SubElement(pdef, tag=tag, text=str(prop[tag])) - + + pdef = self.SubElement(pdefs, tag='function-definition') + self.SubElement(pdef, tag='label', text=str(label)) + tags = list(prop.keys()) + tags = [tag for tag in ['type','unit','default'] if tag in tags] + for tag in tags: + self.SubElement(pdef, tag=tag, text=str(prop[tag])) + def scene(self): g = self._g From 594aa49d2b0b0e5a35a62c68188d77fcbc213ea2 Mon Sep 17 00:00:00 2001 From: pradal Date: Wed, 5 Jul 2023 08:49:21 +0200 Subject: [PATCH 3/7] Add an example --- share/data/nacry.rsml | 10113 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 10113 insertions(+) create mode 100644 share/data/nacry.rsml diff --git 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2.750208 + 6.061482 + 5.6116576 + 5.649194 + 0.0 + + + + + + + + 0.0 + 1.7115802 + 0.71360636 + 17.205801 + 176.71742975422654 + + + + + + + + + + + + + + 6.499944 + 6.4979043 + 7.500812 + 5.8805847 + 6.468146 + 6.5003767 + + + 1.0639638 + 0.86277604 + 0.7708218 + 0.7086536 + 0.16181639 + 0.0 + + + + + + + + 0.0 + 0.2941068 + 1.1696166 + 19.505096 + 130.90743295322108 + + + + + + + + + + + 5.498852 + 6.4917135 + 21.852406 + + + 1.4892882 + 0.84994495 + 0.0 + + + + + + + + + From d5def8bdfbd673cd2a6aef90a42c57a989e65867 Mon Sep 17 00:00:00 2001 From: pradal Date: Thu, 21 Dec 2023 16:10:38 +0100 Subject: [PATCH 4/7] Analysis of temporal root sequences --- example/RSML_HIRROS_analysis.ipynb | 488 +++++++++++++++++++++++++++++ src/rsml/io.py | 34 +- 2 files changed, 518 insertions(+), 4 deletions(-) create mode 100644 example/RSML_HIRROS_analysis.ipynb diff --git a/example/RSML_HIRROS_analysis.ipynb b/example/RSML_HIRROS_analysis.ipynb new file mode 100644 index 0000000..c7dcad5 --- /dev/null +++ b/example/RSML_HIRROS_analysis.ipynb @@ -0,0 +1,488 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RSML Analysis of HIRROS data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we activate matplotlib and qt in the Notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "%gui qt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then, we import main modules and function to work with RSML format in Python" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from pprint import pprint\n", + "from openalea.core.path import path\n", + "from openalea.deploy.shared_data import shared_data\n", + "import rsml\n", + "from rsml.plot import multiple_plot\n", + "\n", + "import openalea.mtg as mtg" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Path('/Users/pradal/devlp/git/RSML/share/data/HIRROS/arabido_test/20200826-AC-PIP_azote_Seq 2_Boite 00001_IdentificationFailed-Visu.rsml'),\n", + " Path('/Users/pradal/devlp/git/RSML/share/data/HIRROS/arabido_test/20200826-AC-PIP_azote_Seq 1_Boite 00001_IdentificationFailed-Visu.rsml'),\n", + " Path('/Users/pradal/devlp/git/RSML/share/data/HIRROS/arabido_test/20200826-AC-PIP_azote_Seq 3_Boite 00001_IdentificationFailed-Visu.rsml')]\n" + ] + } + ], + "source": [ + "data = shared_data(rsml)\n", + "data = data/'HIRROS'/'arabido_test'\n", + "files = data.glob('*.rsml')\n", + "pprint(files)\n", + "\n", + "rsml_file = files[0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from glob import glob\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "import rsml\n", + "from rsml import misc\n", + "from rsml import measurements\n", + "from rsml import plot\n", + "\n", + "from openalea.mtg import algo, traversal" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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ssccQDoeVnEEliAoVjTI9PT0YGRlBLpdTzgt63gOBAPx+PxKJBEzTVHxHF3alI2l6ehq5XE7xHf4u5YVgMIhEIjHHWLRgwQI0NTXhypUriveRppPfVlRUoLq6Wt3D6263WxmrdNwFAgF84QtfwLJly25o3orFInbs2IHu7m4YhoFkMolgMIhAIIBYLKYi2TiP2WxWrZ3q6mps3LgR09PTSKVSGBkZQSAQwMTEBIaHhxEOhzExMaGcANwPABAIBNDS0oK7774bq1evRigUUrKdYRi4ePEijh49qgx1LpcLdXV1+MIXvoANGzZgbGwMExMTykDW3t6uIiJ++ctfYnR0dI4XV1d0HL7kwO0A9RM6WKnf6JE1Pp8P4XAYjz/+uDIId3Z2IpFIKHrc3t6Ou+++GwMDA3jllVdw4sQJJc9VV1fjySefxPLlyxEOh9Hc3IzBwUG8+OKLOHnypKIfEgzDQE1NDXw+nzK40/BdKpWUzExFWPIbYIZn0ricTCYtOls2m7W8B5jlc/y9tbUVkUgEAJRxxefzWZyXwWBQ0cRisYhQKHTDBgT2cWxsTOk65GXZbHZOdgcNCtJBK43D4XBY8X9g1qlKPNDw4fV6EQwG8fTTT1v6T9x5vV7U1dWpNUEdh0YbOuKpN/X19WFwcBDFYhEDAwNKppe0i+PyeDxIpVJqXcjxcQ6kfkYwTROVlZXYuHEjcrkc+vr61PuJe85pVVUVWltbcerUKYyNjVl4GeUJ6XAmX/7DP/zDG5676elpvPrqq+jv71eyQiQSUfIVABVlTV2cjh+/368cZJwfGiqz2Syi0Sjy+TzGx8fV2GmY9fv9aGxsxIoVK7BmzRqEQiEkk0mk02llf3j//feVTEW57cknn8TDDz+MRCKBsbExGIYBn8+H1tZW1NbWwu124+2338bAwMCvnKd8rI0/7e3t+J//83/O8a4AsAh7FM7pvTt48CDGxsaU4NbQ0IB77rkHxWIRr7zyCvbt26e8iI2NjXjmmWfQ3t6O6upqhMNhnDx5Ejt27EBPT88cA4eETCaDSCSCdDqNbDarUsQo+MoQTOm1o2WWFupVq1ahoqJCERT2TW5I6WUFgEgkglgshoaGBsuGnZ6eRiwWU8ItBUsKzSSiNwIejwebN2/GokWLVB8ymQymp6cV8adBh5DL5RAIBCxeU24IEn7pSSORMwwD6XTaEkVFnEhvNYVFKmPc7BUVFRbLNhWDxYsXY8uWLZiensYvfvELZRCRRh0Cx0jFisRapl3QkBeLxZTxD5hJ26B3pL6+HsPDwxgbG1OGR3on6+vrYRgGhoaGlFJTXV2txl5RUaGIBYkTFZYbBZfLpVIX2WfOZ2VlJSYmJlRkGtclDalcK1yzsg0yeQCIRqMqkmd6elopoOl0GufPn0d9fT3WrVuHu+++G42Njcjn89i8eTOWLFmCXbt2obOzE/l8HseOHcPw8DCee+45rFy5EhcvXlQKVU9PDxYtWoTPfe5zSCQSePPNN5URjfPlgAN3Gqqrq/HFL37xuvfJ9ZfP57F//35l+DFNE4sXL8batWsxMDCAF198EadPn0Y+n1eOg2eeeQYLFy5EdXU1otEoTpw4gR07dqC3t3dOZCHfR6WZdJ3tcf/KVDXSYAAqQohCuMfjwcqVKxGLxRSdpvBkGIZSJGiM8Hg8yGazCIfDiEajKpKCtCqXyyEWiymBNBAIKMOM2+1GZWXlDePf5XJhzZo1qK+vRz6fV+OYmppCJpNRadpUPAKBgMKJ7BeVo1QqpWiZFOTpcaURLBwOK+VKek0Nw1BRpowaWrRoETo6Oizeasl3CIVCAa+99hoGBweVoCudDhwvlR2fz6cicWRaIOnrXXfdZYnC9Xg8qK2thd/vRygUwuTkpErjYBRyc3MzFi5cqKIxaTAsFAqoqKgAAMv8MPrJ5/PdlLxgGDPR07FYzBI54PV6EQqF4PF4MDg4qHgM1xcwEzEwODiIYDCoInVyuRx8Ph9isRgCgYDCD51lmUxG8awLFy7g0qVL2LNnD9auXYuNGzeisbERxWIR9957L1atWoU9e/bg/PnzKBQKGBoawj/90z9hcHAQTz31FHp7ezE2NoZCoYD+/n54vV48+uijmJiYwEsvvaQMq8DcVGbdEOSAAzcLra2t+C//5b9YIlskSIcD9Z10Oo29e/cqudrv92PVqlVYuHAhjhw5gp/97Gfo6elRtLCjowNf+tKXUF1drfSGt99+G7t27bJEZdutYRqmpdE/nU4rXkc5UepnMsKEtLG+vl45GMPhsCVqCJiNFKJhmjSKEXmUDWnUaG1ttThw6dgIBAI35XBwu91Yt26dihSinEnnCXEgIy8qKioUvaWewkioUqmk+BQwG61I3WNiYkJF51C3KRQKKlKUfaKjlPMNzPDuSCSiDArk+c3NzcrA8eqrr2JkZETppJIvkS+SnspIJxp6SFez2Syam5tRV1en5rKhoQGxWEw5nHp7e1WUk2nORBTfddddaGtrUw4wGelDPZJ6ouR/5L03Ci6XC01NTWo9yKgn4k+WdSGuaaSSPJsZH5QhUqmUivRhpA7XMtfFlStX8N5772H16tXYtGkTGhoakM/nsWHDBixZsgR79+7FuXPnUCgUEI/H8c///M8YHBzEM888A5/Ph+HhYUxPTyues23bNiQSCfzwhz/E2NiYZax2Dofb4TfGx9ljsXHjRvPDDz+8qWdyuRzeeOMNjI6OwjRNLFy4EGvXrkV/fz9+/OMf48yZM8rrddddd+GrX/0qqqurUV9fj2Qyie3bt+PQoUMWi7QOFHhra2vnhGZKbygXGz2MgUBAbSoK4evXr8e3vvUtZfll++UmlcRHFzLlc3bMA5ibwznfwmFfSLTsftdDuPmpezn5v/SicjNKw9WHH36Iw4cPq02cz+ctwr/f78eXv/xl7N27Fw0NDaiqqsLbb7+txsLnOCcyFN/lciEejyuhXhfYg8Gg8ibI61QoZIgnPZUPPPAAKisrLYJssVjE+Pi4Wj9su7KyUhFhRkERB2Qq9D7z/ZxPPnOjNTNM01QefWnoIu6Hh4dx6tQpS+gojZY0NFEZpDGMyggNdaZpqgi3s2fPIplMWvpGBhONRrFp0ybcf//9CIVC6O7uRjabxYkTJ7Bv3z5lTIrFYvjSl76EjRs3orOzUylslZWVWLRoETKZDL7//e/jrbfeskSY6etbXj969OgR0zQ3lkWWAw7YwK3wnXw+j507d2JgYACGYWDlypVYsmQJjh07hp/+9Kfo6+sDMLNGFy1ahK985Suoq6tDXV0d0uk0fvnLX+LgwYMW46YESdfr6urmeBDz+Tw8Ho8lvFxG2JHecO/cfffd+M53voNgMFh2TDofKseXuO+kc8Ku7/L7fO8EZlM47X6XDgcpUPM5STtp2Ob/5Cey38eOHcPevXstwjd5GPH77LPP4sCBA6irq0NtbS127typ7mGdJwqypOHSw0ojCukteQojh2loIk+QvJVtUq6oqqpCRUUFvF4votGoMo5QMWNULEP6PR4PQqGQRTmiwB8Oh9X9nEM5P/R03ui86Sm5ci3TgEWFkbICFSAaMdkPqTAFAgELzzFNE6+++iqOHj06x0FHvnPPPffg4YcfRiQSQVdXF6anp/HRRx9h3759ypjj8Xjw8MMP44tf/CLGxsbQ398Pv9+PaDSK9vZ2uFwuvPzyy3j++edVVMT1BO8jR444fMeBm4Jb4TnZbBY7duxQEeTr169HLBbDm2++qSKluX/vuecefP7zn0dlZSVqa2vR29uLl19+WSmmcj3brWsqtfyNUZE07lI2ZRmGaDQK0zRVyo9hGFi6dCm++c1vIhqNKtlTvpv7XtcLpEFMT8EhXdQd5fo4bpR26fxD3lNOV5YRSOyjlLnlO4i7o0ePYt++farExdTUFKanpxVvq6ysxNe+9jW88847qK2tRXV1NbZv325JG6NjRuKLv9EBw6gc4pVOIL6TfIs0lnyVPK1YLKK6uhrr169HOBxWjvlQKIRUKoXOzk4VTcO++Xw+VFVVKQc+Hcfs4/T0tKoxJY2EHMfN6jp6tJqUG0ZHR3H16lU1Ljqj+LzUcQCoLAeORaYz5nI5HDhwAP39/XPwzpThtWvX4pFHHkFlZSW6u7sxPT2t0inHx8eVPrdhwwZ84xvfQD6fR19fHwzDQCQSQXt7O4LBILZv345/+Id/sKRyy4AJAtfqreg6H+vIH+DmPCk6EVm+fDlWrFiB06dP4wc/+AG6u7uVt2zFihX46le/ikgkgvr6enR2duKll15Cd3e3xaAjDSryHZJAyPoLwGy61ZIlS3D33XfjvffeQ2NjIzZv3oxCoYBz585hx44dMIyZyJRQKGTxIP6q8HMr7ZazwlKpuBNAo8TixYvx2muvKWOZxLXLNVNjSXoKDcNQRBOAIjDc/KFQyJKeRcIiI15oiGGkGA1NkjBJZYEb/qGHHsKiRYuUMUnOA4vw3Wm4kbnmPfMpdRUVFVi0aJHl/hsxPOoeT2CG0O7Zswc//vGPVRojlRvTNBGPx7Fz504cP34cjz76KDZu3KhqMC1cuFCFbMbjcfzoRz9CPp/HAw88gMuXLyOZTCKbzWJoaAhtbW349re/jcnJSbz33ntlBXDdAOSAA7cCt8p3/H4/1q5di5aWFuzZs8cSNWAYBpYtW4ZvfOMbiEQiaGhowNWrV/HCCy+gq6vLEilKIE+QvIg0iN4yGnyCwSAymQw6OjqwePFiHDhwQPEdADh16hTeeecduN1ulR5tx3d+VTzlRkA3HhPknr7TfMc0Tbz77rsAoKKL2AemCPGdMnKKTpxkMqlkDo/HoyJfZJozAOWBJE+hcM1IWlmMFZhN+2K7ALB48WJ88YtfVMYkXR4hDjk2iU/AmhLId+k8XlegbpTvsK/lnEUAVEg+n5Gf5dqV99XW1iq8fOELX8DFixdVTULyadZg2Lt3L86cOYNHHnkE9913n0rtWrhwId58801cunQJhUIBu3btQi6Xwze+8Q0YhoH+/n5ks1kMDw+jra0NX/rSlzAyMoLt27db8Kcbghy+48DtwK3ynFgshg0bNsDr9eKFF17Azp07VQkEt9uNrVu34rOf/ayqVXLo0CG88sorGB8ft9AMYDZNV09zlHwImE2Hpoy9fv16LFmyBPv27cNdd92FtWvXAgAOHz6MnTt3wuVy4e6770Ztba2F5zD68k7j52bgerrOzcL16ECxWERTUxP6+vqUzqLTufr6etUOncbSeSMjXAGotG2uCRr6Acwx7lBO153aBD3AYMuWLVi+fLmlDqthGIjFYmhtbZ2zhvT/bwVuRteZr5RJOBxGe3v7HP1G0ms9aMLOYEd+2t7ejr/5m79RkXDyUI9kMon3338f586dU2Vkkskk3G43Wltb8dprr6GrqwulUgmHDx9GoVDAd77zHbS2tqK3txf5fB7Dw8Nob2/H008/jd7eXrzyyiu2TrCbxZUdfOyNP7cCFMA7OjrwwQcf4Pnnn8fY2JiygK5evRpf/vKXEYvFUF1djdHRUcs9JH7zCScUvEkwmGMPzOZV0pLX39+PBQsW4MSJEyrcUd7Ld+jvkYtvvt/+JeBOEGKdaMiNJ6393Jz0irIwsi5oBoNBS8SWNEYwKkcWg6Qgx9QBbmKmBlCg1COZTNNENBq1eEXt8FPOg6+PvxzcKo7tFAG9zTvB6EgQV6xYoRTJYDCoQojl2k4kEnjllVdw6tQpPP300+jo6IDP58PXv/51vPbaazh//jxSqRRefPFFuFwubNu2DRcuXFAn8kWjUdTX1+Nb3/oWrly5goGBgRsavwMO/LogGAzirrvuQl1dHV5//XX8/Oc/VwXuAWD58uX4yle+gpqaGlRXVyOfz+PnP/85enp6FN+R3kIpcEsaSS8T+QyfY8RKJBLBkiVLMDIygkWLFuHYsWOorq5GIBBQfWEo+50U2H6dcLt9lQIfcUKPHz2BMhXLNE1UV1fDMAxLypXf70cgEFBh4aVSSaWBS6E9kUigsrISpmmqiJxUKqU8sDI1gmlfjNgCZlNwm5qaUFVVNS/v+ZeC6xlzbiZ1uVz7ki/TQ8yC15wDuV/Gx8fx85//HKdPn8bTTz+NxYsXo6enB1/84hexZ88eHDlyBJlMBu+//z48Hg++9rWvoVAoYGxsDMlkEvF4HA0NDfj617+Ojz76CJ2dnXOMPTIy6jdpDznwmw00hi5evBgA8E//9E949913lWHZMAxs27YNn//85xGJRFBZWYlTp07hxRdfVCmVrH8plV99HZMmUf4m32H0qc/nQzQaRW1tLerq6rB48WLs2bNHOWspy5OWXY9O6PLqb6osV07W13m5dMAS90yj4mlt0njP6BumvTKilc9SR2FEDmUDpo35fD7lYNfrGcmC1qRrtbW1ih/aOVvnc8DKsd0szm7nfh3fdveVe3a+9dnQ0AC/36/Ss+nYk3JbIpGw8JyFCxeit7cXX/3qV7Fjxw5VW+v48eP4x3/8R/zhH/4hGhsbMTw8jHQ6rXjOl7/8ZZw6dQqXLl2yRAGTB9qN9Wbg4yU93AEwjBnv6l133YX9+/fjH//xH9WpIS7XzMkqzz77LKqqqlTa1s6dOzEyMqIEO4ZBS+sn013kBuMmZR0cblDWO3C5XLh69Sr279+PQqGA1atXY9myZYoIyuKh5cYy38L9bRQ0GAbOnE0Ca9+w3g7D86WRgc/wOXmCiQwh9/l8ijnqKQDcXJKA0VjHYs96Eb5yMB9Dtfv9ToLuSbgT79Db0T+ZYyuvATMKEVPKTp8+jb/5m7/BqVOnsHjxYlVfZdu2bfB6vUin03jppZdw6NAhLFmyRBntJiYmkMlksGTJEnz+85+3eIz0kNzf1r3hwMcXXC4XVq5ciYaGBvziF7/Ayy+/rGq3GcZMqtdzzz2Hmpoa5f28ePEiurq6lCGBNIlpPjLdh0CaxeKPPKmIAjl5C+ufFAoFrFy5Em1tbSqyEbA/hvTjDHeaVuqCOYv9slgzo6loiJmcnEQoFFIpdslkEpOTkxgZGVGFM7PZLDKZjCpqrCsuLNTJaFX5G+dZpkJEIhG1LgKBgArz5312YymHtxvBgx19vxVh/Hp8b7775vsr11/TNNU+kPcwJY+h93/3d3+HEydOYPHixYhEInjiiSfw6KOPqtqC7733Hl566SW0trYiHA6rGknpdBoNDQ346le/aomWk3KgdFY54MCvA1wuF1atWgW3243vf//72Ldvn+UkqI0bN+Lpp59GJBJBVVUV4vE4XnvtNUvtGNa2lDxH6iW8TrrHaEdGQvIZl8uFCxcu4Pjx4yiVSti6dSuWL18+pwQDcPN05TdtX80n6/N/YPYEMEn7Sd/T6TTGxsYQCoXU4QEy1VnnHzxAh7KA1HVkGrI0VMv6gKSjkUhEHeAin51vDm5kfnS6rT97p+e4XLu3wovsnuXhTno7TIcslWZOOP67v/s7HD9+HIsWLUI4HMbTTz+NT3ziE8p5d/z4cTz//POorq5GZWUlCoUCEokEUqkU6urq8LWvfU1lceh9v12j6G+d8cftdqOxsREHDx7ED3/4Q0xMTCjG3NjYiK997Wuorq5GbW0tTHMm3//AgQNqQ/F4Xh24WQgyHDsYDKoJkkYi05wpoBUMBlFVVYWDBw9ieHhYeajsBJrfVSDOiD+mX0mCl0wmcfbsWSQSCWSzWfT09MAwDGUIYPV4Wq1lOCCFZ2DGQ79w4UJVl8kwDMuxv7r3nVFCMsVLD8W7E0TsV0UIr/eemxG+ZRvykwK4PNKRINMr6FX9yU9+gu3bt6OxsRE1NTV49NFH8dBDD8Hr9SKZTOLFF1/E+fPn0dHRoeqXsID2Jz/5SaxevdrCLB1w4F8SDGMmZ3vHjh149dVXleeOfOcrX/kKamtrVcH3QqGAnTt3Kn7DoukEmeYFzNbAkdGPkUhE0Tg9R35qagoVFRWorKzEyZMnkUwmVTFHaTz4Xd87HD8NZ7KwfS6XQyqVwujoKI4cOaJO+Dp37pxyLDDSh/NDeQCASgOk3BAMBrFo0SJlRNL5DtsDZvhOLpdTp0ZKmcKu/zciuM5nUClH3+8U/Cp4G9uSEQU6jsh7SqUSJiYm8LOf/QyvvvoqGhsbUVFRgY0bN+Kxxx5Tp3vt2bMHb775Jjo6OmCaJlKplCrivm3bNmzevNmW99mlCjjgwK8SuNZ/8pOf4L333lP1TFjy4plnnkFFRQWqqqqQzWbxz//8z7hy5YriP1LXYVvUa6TTQaYBBQIBBAIBi5GIv6VSKVRVVSEYDOKtt96yFAKWfb6Rcf2mGXxuFsjDgVn6IcuNpNNp7Nu3D5cuXUJPTw9Onz4NwzBUYAEjVKmXsmYN7yHPCYfDWLx4seJDpJcya0LqOoxC5f3lshfm4zH6/zf6+68S7N59o32wW7+yfi1xJGU0ynPxeBwvvvgiXnvtNbS0tCAajeK+++7DY489ppwOH374IX7+85+jtbUVLpdLRf8UCgVs3boVW7ZsmePsuRP4+61L+zJNE2fPnsXzzz+vjsx2u92oqqrCc889pwo2AkA8Hsf27dvnHDcoLacEacFmqCTTh2RFdYZ00+uUSCRgGAZGR0dx4sQJVVBKzx3/XYRywizxLpkZI3c+/PBDRSx57KScM7/fr4w18ndZwDgYDOIrX/kKLl++jF27dqG3t1fNtywGxk95ggAJ7Z3KD/5NB7t8X17nvPE7iaVhGMhms9i1axcmJyfxzDPPwO1246GHHgIA7N27F/F4HM8//zy++93vorm5GQMDA0gmk0ilUqo49Llz5yyGVD1iywEHfl1A2vTyyy9bir1XVlbiy1/+MpqamlBfXw9gxtBw9OhRXLx4EYBVieX6JT3jNab9mKapeAhP4AJg2WelUgnJZBI+nw/xeByHDx9GZWWlSmuSKc2/68bTcqnHjCKlQNfV1aVomN/vV0Um+ccUikKhgEgkYok6ZbvBYBBf/vKXVVTW4OCgwj/lCtkHzi2NPyyUSvhdnzdpxJT8WheMud4LhQKmpqZUwecvfelLcLlmiuG63W516tH27dvR3NyMJUuWqNpzkUhERakeP34ck5OTc97rgAO/TjBNEzt37sTu3btV5oFhzJz69Nxzz6GyshKxWAylUgmHDh1Sh6nIKB+7UyVlqinlbhoXPB4PcrmcpeYMT7bKZDLweDwYGRnBlStXcNdddykDkyzU7PCcuXKq5Mnk/V1dXep3eegK7+M1nuLMQ1fkYQW1tbVK1+ER4jKlC4DFyEN9iRGw1H0cmAWZbcLv/JRylbx3z549SCQSeOaZZ2AYBjZt2gTDMPDOO+8gk8lg165daG5uxqZNm3DhwgWkUikkk0nFc44ePYp4PG555+3uo4+9BmuXKznfPcViEW+88QYGBwfVMz6fD5/97GfR1taGmpoaFe2xe/fuOUew6oYfadXT+0CBzePxIJPJIBQKqdBIwzBw7tw5Zcnbu3evCj/msYC8Tx/H7+pm47iDwaAyqhHvZGyMLCFjYhg2j4CnoEwvdzQaVR4Kv98P0zQRDodViH91dbVSlCggyqJ30krOOj+GMZOL+7sMuneVgrieRifvkScpADPW8w8//BCZTAZf//rXEYvF8Mgjj6BUKuHdd99VJ/T92Z/9GVKpFKampjAxMYFwOIx77rkHmzZtwt69e69bEM0BB24WbtaQSOMPQ4FZC+Hpp59Ge3u7SvWiwWbnzp0W7508IUQ/FhawentI+0KhkKWwJ3nRRx99pKIW3n33XZimiXPnziGbzSIajWJqaso2Z/x3me94PB5Eo9E5ygpP7JIKEQB1LDxlgFAopJQgwzBQUVFhKYpaLBYtfKeqqgrpdFopVQzbB6CMSOQ7PNbX5XKpo9kdmK1/IL2vBCkcS8Mew/KPHTuGTCaDb37zm4jFYrjnnntgmqY6leWFF17Av/7X/xqNjY0YGRnB5OQkwuEwVqxYgQcffBDbt2+fowD8ru4fB+4clNN3JI3m/4VCAceOHVP0nPThC1/4AqqqqlBTUwPDmKm3+MYbb1iO/KazQW+b7dpFdHCfMcWY0YkAcOTIERjGzBHeb7/9NgqFAg4fPqwyH1gfyG48v6tAnYS1eSgfk8dwruTR7ADUyVo8PZon+zK7gVHBhmGo1OFCoYCKigq1BkzTtJy6SF1H6jdsJxQK/Uui6V8c7Iw73A/yHl1elI68fD6PQ4cOIZVK4etf/zoMw8C9996LUqmEffv2IZVK4eWXX0Z7ezuampowMjKCiYkJhEIhLF++HA888ICF59wJZ8PH3vgj4XoMloJzMpm0eNzuu+8+rF27FnV1daqeTG9vr7KEywmlwUE/4pz/yxBjFsbSldpcLodgMKhya6emptDb2wvDMDA0NKR+l0CC+rsK0gNKAkXc6sY5l8uF6elppNNpS30feltlpXsSShLQfD6Pmpoa5HI5vP766xgeHlbMU3o6WHuBxkN6Sbj5stns77wXQzJwXQC3Y+66N5afp06dwg9+8AN8+9vfhmmaeOyxx5DJZHD48GGcOXMGb775Jp566ilcvHgRmUwGqVQKNTU1ePrpp3Hw4EG1z2T0jwMO3C7cjOFH9wYBwJYtW7Bu3TrU1NSo/H5g5tStrq6uOWHI5F+8BswquDI0WxqHZP2RfD6PYDCIZDKpjtW+fPky3G63OsVSzx//XeU7ukAno6zs7uV9uVxO1XKi8SaXy2F8fFz9L6NSKUzncjnU19djamoK27dvx9jYmDIUsa6QaZqKB1Fwd7vdiMfjiu+lUinLevhdo3V2e1Lnw3aKsvyffPz8+fP4p3/6J3z7299GJBLBvffei2w2i3fffRcDAwP42c9+hj/6oz9CKpVCOp1GOp2G1+vFZz7zGRWdatcPBxy4FSi3duzkKt0QA8zIvU888QQWLVqknA2maeLtt9/G2NiYhVeQ7pimaTmxyO7dpmkq2VqPqisWi/B6vchkMqoWHaNSh4aGUCgUlNNVtvm7RrckSJ7DyB3pHNWd3tIJDcwGHUxOTqpsE+KZ80H9pa2tDalUCq+++qqqG8S5pyNd9omlMKh38UTK33Uox2+l007WR5LPyFMoz5w5g+9///v4gz/4AwDA/fffj1wuh0OHDiEej+Oll17Cn//5n6tDIzKZDPx+v+I5jDjV+3Ur8LGv+UPESmFN/+N1mS9PWLRoEZ588klEo1EEg0FlAPjlL3+J8fFxCzFjKKMUFKRALgVxbg4Aqq5QKpVS3tdcLmcp/sTNxf9prdXHOt+YbwZX5f7s7ruZZ+frz420Ua5NYGaTTE5OqoJXLPCczWYxPT2NbDZrwWuxWEQul0M+n0c6nVYKTzqdRj6fV78xDYxEltZ25mXKwpCFQsFypKJpzqQAMD/zTgp3N4Ob+fD+q4Dr9QOwEjk744/+rGR6ch8VCgWcOnUKL7zwAmKxGEKhED71qU9h6dKlMAwDb7/9Nq5evYqmpiZMTU0hlUohm83i7rvvxurVq20NTI4Q7sCtAmk+aXy5/UmhjH/y1JT29nZ86lOfQjQaRSgUUuuSnlHJZ0ifdOGBYFcTxuPxqJRi0j4WxWfOuaRXpJmsT2OnUNwq/7gZWn87/MFunm6kXbvnJBSLRUxOTmJiYgLxeFwV056amlKF6unhZh2eQqGgagLx/2Qyqe7N5/MqvZtrg55a8hr+JmUEzplpmggGg0pxkl7E+cZyKzzi18lXbgfK9VGuAeDGi1wXCgV89NFH+MlPfoKKigr4fD48+OCDWLt2LYLBII4cOYKDBw+ipaVFGf3y+TwWL16Me++91/J+nSc64MDNQjlaOd89TNkxDAOrV6/Gtm3b1IEoLpcL58+fx/79+5XxWBq69VQs/i+juPmXz+dVOjGdq+RZ/I0ys6x9wmhI+b5y47lRXnCr/OdOt3Mr/I1AvExNTSn9hlkjPCmS33O5nNJtqBNR9+FhQ5wjKY/Qcc10YslbaDDS0/fcbjcqKiosssyNnCp5M3y73FrWr893783KCjfSz3LXgLl6hd6GrgvJP2C2HhCzf37605+isrISgUAAjz32GNasWYNQKISzZ89i3759aG5uVnptPp/HkiVLsGHDhrK4uBX4WEf+8IhULkRWH6c11DRNZc1mqPT4+DhGR0cBAKFQCJ/73OcQjUZRVVWliN/Fixdx7NixOcSI0Tx2lnBaTHmd99JD5/P5LAYd3UPLT1koUqbJcNHcrPBgF+0gv9ulLpRb0Po9epvy2p0QFvUQNn5yPpkWJ4+8pYebIMPx+byc11wup6zjACzCNIveyfmUc8L3MYTSNE1V84cEUc+fvZNQDsd3Ave3Avp7pRJpRwglyOgGHUgYDx06hMrKSnzuc59DoVDA008/jR/+8Ifo6+vDyy+/jH/1r/4VAoGAIogVFRV44okncOTIEbVny/XVAQduFDKZDI4ePQrTNFWKDg04zLknL+rt7cXVq1eRTCZx8uRJmOaM0v70008jHA4jFotZaOaHH36Izs5Oy94hr5DF7Ql6NIppznpqQ6GQ5YQ9eUyrPPXQ7XZjamoKpjkb3cI26JC4HaW13L7WjbI3sycl37yRe2/2dzsBirSfPIU1D4DZYpjkDRJ/fFZ6ZxkZyk/Jd+RcA5jDd7i+AoGApR6hnjZxPf4t4Ubmdz76fb32dbiZ9XSztNouBV/KZnbvl9HZ8h7TNHH8+HFUV1fj85//PPr6+vDEE08gmUzi9OnT2L59O1avXo1YLKYK2vr9fjzxxBPYvXu3MgpyHI7xx4FbgenpaYyOjiqdgUXhAahIeEaPxuNx5PN5jI6OoqenB6ZporKyEk8//TQCgYCSV5lSIk/Ck3K85Ddyf+j7yzRN5HI5uN1uRKNReL1eVRiYPId8RRYSljROj/q+3l7R9Ro7ejYf3ZDPSV1ItjWf3lOu7fkMy/PJn3ZysuQ5MjtBOoYkDuW86IY74tTtdlv0JtM0Lce92+mGkodFIhHVP+pU1JEkf7se3CxNvxEedqvXb/e95fiKXQqWvn7s9OhCoYCjR48iFovhc5/7HAYGBvDYY48hHo/j/PnzePPNN7Fu3TpUVlbO4Tnvvvuu0mXZ9q3ynI+18ae3txf/7t/9O+RyOXg8Hjz22GPK0z8+Pg4AuOuuuxAKhfDCCy/g4sWLyOVy6O/vh2EY2Lp1Kzo6OlBdXa02FjcDc+0ZqkiBeT5jiZ7iZRiGqhOQyWQQiURUCgqtqlIw1NsslUo4ffo0Vq1ahXA4bDk2VD86VN90uuBjF/0g36UTQLZfDuYjZHaGJhIe4kka6PR+2uXol0ol9Pf3IxAIIJlMWpgQ84X1KC05LhImw5gtjsp3Ev9S8KbF3Q5f8jvXDI/DZI6t9KrLub0ZJcfOcKf34VaE+HLvutn+EezWgn5NF6jlb/oalvfLvhWLRezevRtNTU2499574fF48OSTT+Kll17ChQsXcPDgQWzatAnd3d2YmppCIBDApk2b0NjYiN7eXtv+OuDAzUJvby/+7b/9twBmDACf/exnsXnzZpRKJVWkd/369QgEAnj++edx6tQpi0C7efNmLF++HNXV1Zb6YaXSzNGeTDElE5ceWV1I1IVY0jPW7pmamoLf77dEQtKAwVo18jhZtnXy5EnVR6/XazneV3r75Dv13+V3u//5Xf6vP6eDnXe4HOi8TPIiO/pSjo6Nj4/D7/cjnU4rHgHAwh9kBJhsU8677qSQc8xoIXp12W87/kj+T75D4VsapqTCNh9u9PHeCNzKvbf6vuspW/q9ct7sai7o8pmu9PJ/eVJksVjE3r170djYiC1btmB4eBiPPPIIEokErl69irfeegtf+MIX0NnZiampKXi9XqxatQqLFi3CuXPnbmicDjgwH/T09OC73/2uOkb905/+NNauXauO/Pb5fOr7f/tv/w0jIyPI5/NIpVJwu914/PHH0dTUpOr80IFaWVmpdAtGwwM3JlfqeygUCqmoyGAwqIzhjDzRZUz9+cuXL2NsbGxO6rGuT1yvX/OB3f3yiHM7kA5gnXdIkONhjR7TNBX/lQ5I6gvSOCzh8uXLqKiowMjIiLpmV+tPvltPAdfpmGEYiufTyDA1NYVkMqkMQrJtGp6IMxob2XeZrsT33Qx/vlHQZRw73i1/1/+/EbhZnazcs3rf5He9/IvdPdKot2fPHjQ3N+Pee+/F6OgoHnvsMSQSCfT19eGtt97Cl7/8ZXR2dqrUr7Vr16KtrQ2XL19WfbkdXedjbfzJZDI4duwYAKCurg5utxuBQABdXV1Ip9OIxWKIRqP44IMP8MYbb6jil6XSTJXzRx99VIVOc5MkEgl88MEHqK+vR2VlJUzTVMXKiEzdOGEXHsnr9OwFg0EVYhcIBCxCERcFDUIs3jU9PY0LFy7gb//2by2RTMFg0LIpqSwAUM9KK7AUquW9BL3IG4uCUSnQT7gCZiOdZDinfrKG7J/X68W6deuQzWYxNDSEhx9+GEeOHMGFCxcU3u655x4UCgWcOHHCEhpKxnTlyhU8/vjjOHz4MHp6eiz9l7i020z8DZghXpL5SIJYLBZx+fJlfO9730MymbSENxIkMZWWdEmczp49q5gKaxBJJsPnmWIm25PKlTSa8R7ZH11ZouGS45URSAz95HNynnRjH/tiZ7jSlTmJX6locf76+vosjE9Gv81HCPU1x/30yiuvoKWlBTU1NVi9ejWuXLmC/fv34+2338Y999yDYDCIRCKhIis2btyoTmxjm44ByIFbhWKxqKJpKioq0NDQgOrqaly6dAmFQgH19fWorq7GW2+9hVOnTilDs8vlQiwWwxNPPKGOxOWad7lcGBsbg9/vx6pVq1AsFnH8+HG1Vu0EDElLCDJFlScasgYA+QajHWVECfvAEyqHh4fx/PPPK/rndrvVgQU0OkjhknRHGtnZLxqOGBFJeiGN8SxQLfkVn5O8hTRGRsfI98n2abRatWqVKga/ceNGnDhxQp1qYpomVqxYgVwuhwsXLqh3cEy5XA7nz5/Hgw8+iPfff18dFMH30mlAB4QUmHW+oRt/aLghnD17FgMDA0gkEmrMkm8RiDMeWiCFynQ6jfHxcZXCXs6gdqNGIf2369FNO/qtPzef8sRP/U+mHkjeQuWSeMhms4jH40gkEujq6sLExIRq3y4lTnfqSR4l13cul8MvfvELtLW1IRaLob29HRs2bEA8Hsf+/fvx8MMPIxaLYXJyEqFQCNFoFJs3b8b58+ct43LAgVuBXC6HixcvwjAMdHR0oKKiAoFAAL29vcjn82hsbEQwGMTPf/5znDt3zqIfLFy4EFu3bkUoFFKKu2nOFC8/efIkqqqq0NLSgnw+jxMnTswxhpdLx5JA3YX6id/vt5ymLOmdbmBg3c3Tp0/jb//2by06kS77yr7wWUkbdIOFHAv7IuVVv99vOeZc0lz2kwYYaVwnDvXoDhb5f/zxxzE4OIh4PI6nnnoKb775Js6fP6+ef/TRRzExMYFDhw6p50ulktIRx8fH8alPfUodbMJ38r2Sb7NveuSn7J/U/8g3GWFy7tw5le5dztHEtpPJJMLhsGX+Ojs7ceDAAQSDwTmnhcpPyiGybWlwknMlI5x0PYHPMfpVzjl5BWU0iSs5T/JdMgVeN4ARt5KPcU2yPnChUEAqlUKpVMLo6Kgyeurvsts3Osi1mc1mFc+prKzEwoULce+992LXrl348MMP8cgjj6CqqgqJRAKRSETVpevs7Lwjus7H2vgjoaOjAw0NDaqwr9vtxsKFCzE1NYU33nhDLQQukgceeAA1NTWoqKiwTM6ZM2ewZ88euFwutLe3IxwOo76+HiMjI2oxygXCDSONCbI9GhaY90ojD4VFqVzLEH4Ktwzb55HVpmkqAZ3EVr5fEgBZoFgudh5TKwmxFJ5prJCLV0bL8FooFJpzvKDdJiXRbW5uxuDgoFJ6zp07p4if3+/Hxo0bsX//fly+fNnizZTGmYGBAWzcuBH9/f3qxBOCHAefo9GDjIfjkP2V/acgPzo6qow1PK2FR1VS2DRNU9VuqKmpURZ+wzAwPDyMnTt3wufzIZ1Ozykyzrmmh14yNhqFqMhJBYj45dwSt3yWCos0DtFAxT7LNcNnSDQlg+Q60Nc91zXxz2Jy+Xwefr8f1dXVSKfTmJycVHnJNGpKpmHHoDmHvNdOYI/H43jxxRfx53/+53C5XPjEJz6B7u5udHd348MPP8TWrVvR09OjlIMtW7bg9ddfV4qWvkcdcOBWoaOjA42NjSov3+12Y/HixZiYmMCbb76paCzhwQcfRG1tLSorK9U17rUDBw7g6NGjWLBgAUKhEOrq6jA6OmrZ+2xL8h1gbtokvXSM9OE+5R6Xe0vWE5JKL+sGkUcVCgUlJMp3USBiu+QtOj+kUZr7kHSZ9AiYiaaRUUik/aSZNEJls1lks1lbA5ikIW63G7FYDAMDA8r4dfz4cRw7dkwZuzo6OrBr1y50dnYqvmoYhjqFhhFdGzZswOuvv26JmpL9Ih2WhjHSSdZbIo2Tacvs//T0NIaHhxV/Bma86alUStF10ml66aurqxEOhxUP6evrww9/+EN1WiiLfNMISJyGw2GLsM8+c93ItSaBgrQ8QQ6Y5UcU/qWRTjfeyDQQWWeCfMo0Z9LhuF5p4OF6Y8QV91sul0M4HEYkEkEmk0FfX58l2kDKR1xbUkGxU0Z0RQgAEokEXnrpJfzZn/0ZpqamsGXLFvT29uLYsWPYu3cvnnnmGXR3d6v+bt68GS+88IJyADo8x4HbAa7Nu+66C/X19UgmkygWZ4r0L1iwAH19fdizZ48lLcjtduOxxx5DJBJBNBpVbaRSKezevRvDw8PqvkAggNraWoyNjVl0EV35lrxD8g3KjpLnsDaNHIPUVaSM6fF4MDY2prIjaAyRe1/yQukgJf2U8iXpmaQz0khCWqAbLKRhhePkCcOs2Sr7o+tQHo8HW7ZsQX9/P1paWuB2u9Hf34/Ozk5lHItGo9i9ezf6+/sVvZRGDwAYGBjAhg0bMDAwYHmPjgeJC8nbdWMZ6RKv0/AxOTmpHCVcTzxNWToYyHM8Hg8CgYBqo7OzE+fOnVO6DNMIJc0jPyUt5DUAc4pGk7+QbzAQgriVuJL3sj2p61AOkHKNnGdpPKTeZGe4knuKhzX4fD5UVVWhVCpheHhYrT/qiDLyi1FeHIucF4kr3VgTj8fxs5/9DH/6p3+KXC6HLVu2YGRkBEeOHMHu3bvx5S9/Gd3d3aqszebNm/Hyyy9bxvJba/whshcsWICmpiaMjY3BNE3EYjHU1tZi3759uHjxomWz1NXV4b777kMwGFTeRRKPDz74QE0iLe1cINLYIq2BuhGHC1Mq6qwfE4lElKAmgUf8UliUbVGBoHBEYsX2uQEAa4qMbn3k81yAunGIm00aVThWKczTUs92padTEl+C/L2qqgpr1qxR+CR+qqqqEAwG1WlnUqiXkUVjY2PYuHGjwhMjZ4hvjoG40xUnnanNF6YojWE0/thF0wDA5OSkOn2Fyg//JHGX8+pyzZwII/srCZo8ahEAAoGAEoh5P9cO55HFxHUDjy586uuPz65fvx4PP/wwpqam8NprrykjSmNjI5YuXYqjR4+qUFXisqWlBdu2bcPIyAgOHjyIiYkJVQATmCHusVgM6XRaGTFDoRAqKiowNDSE6upqJBIJS+ip7KdkVlxjFy9exO7du/HJT34SpVIJjz76KF588UXs3bsX9913H/x+P3K5HAKBAJYvX46amhqL194BB24X3G432tvb0dDQgKGhIZRKMxGlVVVV2L59u4pOJL2ora3F1q1bFd+RkSO5XA7Hjx9HNpvF+fPnlaADzArWku9IJVZ6tSQdlAIeBRYCn2HdGql4s8+kXaS1ukOAOOB3SWv4SQGLNIkGDD2CQzfOk8dI3sd7AoGAZQykmVQ+SB+l17OiogJr166dI3SxkO/IyIgSGtl3mdY1MjKCVatWqXFKvEklhHxXCqoSJ/q9dgZwPkteK3HNNUCeGI/HUVFRodotFosYHh5WEV6pVMrC5+w8wMRboVBAOBxWBUTJP0KhkKrhwbbkM4w2lnxb0nJ9beh80Ov1YuPGjdi2bRsmJibwxhtvoK+vD6VSCS0tLWhtbcWJEyfm8J1FixZh8+bNGBwcVMY89t3j8cDn8yEUClmcL16vF+FwGPF4XBkROVZdMdXBNE1cvnwZe/bsweOPP47x8XE88MADGB0dxYEDB5SSTTlu0aJFaGlpQWdnp2P4ceCOgN/vR2trK+rr63H16lW4XC40NTUhEAhg9+7dGBsbU/cahoGFCxdi9erVlrIRpjkTmU4HarFYVGtU6gTSEajzFumEkJE9/C2bzSIcDqtUWbm3eJIUaRB5SLFYVHRDp3OS7+hOVMkDySc5Dj26UtJZ6iAyE0J3uNIwQRlb0nep/+nGY6/Xi6amJqxfv96iv3g8HtTW1sIwDGV4Y7/JC9n22NgYVqxYYTG4sy92Dhh9fBJPus5q915mfAQCAaWjSj2Wn3Tqck3ReEceoesn7IOcS2mU0YMNyHPk4RTSgSUd3dRjpY4gebwetEBwuVx46KGHcN9992FychKvvPIK+vr6YBgGFixYgEWLFuHQoUMWYxUALF++HFu2bEF3dzcOHDiAVCplSZ/3er2oqqpSB0RQfqqrq0NPTw+qqqqQTCaRyWSUTCN1OmnQ43o8f/489u7di0984hOIx+PYsmULhoaGcOTIEXzyk59EJBJBLpeD3+9XhmG7zJibhY/9aV8AEI1G0dHRoRR0CuVTU1PYuXOnEuKI0HvvvVd5iqSyOTg4iHPnzimiwo1OQiUjQaRXip86UQJmvKUMdzcMQ4XOU/gnoZBCoRT2DcNQBMjuhDB+8n/p3eUY+Jue16kTA3kNmPXmcWFzrDINjItVhuHzN3p6JaHctGkTJicn0d3dre6dnp5WhU+np6cRiUTwiU98Ao8++igefPBBbNmyBUuWLAEApFIpVFRUqGgVwCrQyjmR8yeNMHyGypUk3lLh4qdkMPQMc56Jt+npacTjccTjcWSzWSQSCWSzWXXCi76hZf/kdxr3pqamLAY2KogkknK+pEGQ7+Kzcj7tGDfbB2aI6WOPPYaLFy/C5XJh9erV6p7q6mps3LjRko/Noraf+cxnEA6HsXnzZqxZs0YZrXw+H0zTVN6AYDCIYDCoCgJOTk6iVCqpiCrpOeGaslMWgBlBYdeuXRgaGkIwGMTq1auxevVqDA0N4fTp06ipqcHU1BSmp6dRXV2Nu+66y9aq74ADtwKmaaKqqgpLlixRhXcpOExOTmLPnj2WCBdghu8wPFc3cF69ehX9/f0WOi4NH+Q78hQoSXMlvQJmaKrf71fpuxQQSDdLpZmQdwpNOi2iogzMFuaU0Zj85DjId0jDpdFDV64l35GRHaThFKak4Yk8mM+zb7K/bI98h9fcbjc2bNiAiYkJZVSgwFlfXw9gJkIqEolg27ZtePDBB3Hvvfdi/fr1WLhwIUzTRDKZRFVVleLlMqWXvFGmH7FN3ctHLyBgPYlH1oggPqWXVheO+ZfNZjEyMqJo6djYGOLxOEZHRy2niZGeMhqIXmz+z8i1ZDKphHjyFPIy3s9P0leeSsNTzeQekWtZKlwSJ16vFw8//DBOnTqFUCiEpUuXqj7X1NRg48aNKiWQEQo+nw+f+cxnEAgEcP/992PJkiVKaaNXempqCul0Gn6/H4FAQEUlxONxlRbA/SdxKvsn9wT/37VrF4aHh+Hz+bB48WKsXr0axWIRH374IWKxmAr7j0QiWLZs2c2SFgccmAPc+zU1NVi6dClM01TRBy0tLRgcHMQHH3xgKdJMBTcUCiEcDlvkvg8//NBifJY0Xeom8jRc6j3yHZIP0IAAzJafoLOZ75GRG1K2Iy2lM5e0S0YSSuOIpInSAK/L8jRuSNlfjlXScILUC6h78V7SM2kgomFGzpXX68XmzZtx5coV9Pf3W3S3yspK1ffKykp8+tOfxmc+8xn8/u//Ph599FF1iu3U1JQ6tIG0T/ZPygEckzSOcFyUASR9I8+RRiPSb7ahH/Uu5zmVSmFkZASJRELxCx4/Xk7XkXqi1HU41+wHneI0FnE88hnqXJwPrjndiC9lDMk/fT4f7r//frz77rtwu91YunSpek9NTQ1WrFih9HLKUR6PB0899RSy2azSSWlbYIQa9RqmpPl8PkxNTaGnpwelUgkTExMwTVPtA/0gGrnX5Xzt3LkTo6OjKlJ5xYoVah9XV1cr/ltZWanWz+3qOh9r4w+R1NjYiEWLFimmGwgEUFNTgxMnTuDSpUvqXtM0EY1GsWXLFpX/qhNEpodxAVHY4OTLEEFpsGEb/E4hmJvY5/OpEz0oyHNhkpBzAwKwCH56xAnbkJMrhWIp+JJoUFmXUTAcB6/bjYv9A6wWRJk+RSIprazcnNLYwJD9Q4cOqf7aGVlcLhdaW1uxbNkyrFu3Dvfffz9WrlxpISAcH9vgJuI9MhWKCoVurZfEjRE7VCqYWkdCNTk5aTF28T65tkh8mSohjXZyA0ojIfvK79Jyz37xvXrIumHMpIfxPrkGOZ/hcFgRL/lemVrBa/ScUlAnwyKQUP/e7/0e/uzP/gwPPvigwuPbb7+Ns2fPoq2tTdW1ojGOR0iT8HGN0ujD1DDmO9NQJ4mgDm63G5OTk9ixYwei0ShKpRK2bt2KqqoqlX8svTQrVqyYM1cOOHArwL3X1NSkUouLxZmaNbFYDEeOHMHVq1fV/aZpIhKJYMuWLSr9RtIi0zTx/vvvW05uogdOhmNTaJMCLWBv+KGxmEIIaaY04JRKszXppOGCfIhCmYwitKvDw0gLSaOk0UoK53zW4/GoujTArKDKlCe2L4tN8x72lfRPRimR3rAfbId8Rwrv0jjB+5YsWYJ169Zh69ateOSRR5SQRZ7NvkglRPJtCtrsO+ebdE/yRbZLj6thGIpucRyTk5OWdcSDKHQHQD6fRzwex/T0tHqfdHrpXlzJAyQ91O+lMZ7zJyOSJB+UBhNG5LImgpRH9MLhfBfTxynv2Ckln/rUp/Anf/In2Lp1K9zumZpHu3btwqVLl9De3o58Pg+v16sMaTRMJZNJ1Wf2l/yQY5DGHYlXu72fSCTw9ttvo6KiAoVCAZs2bUJ7e7uSa4iPYrGIlStXzuHpDjhws8A11NLSgqamJqTTaaXPBINBvP/++xgeHlb3u1wu1NfXq6gfKVv29vbi7NmzFvlP6jp6RIJUQqUMLnkQrzEako4/YLYgMPcWaad0znK/0SAreY5OL2QZAd7L33T9hTSW9F0a3yVOJL2TuhVpOcdA3Ejjg8QHaSXp+ZEjR5RexPv4nbwjFAqhuroaCxYswKpVq9DU1KToEtvkWGg8Ie+R8jRxJvky8S9TjIkz9lXKyqVSSfEcyav5XeqDNLCbpqlkDD3qRzfKScMi+YGswcrnJZ/ju+nUkfhgO2xbNybq60EahTKZjFrvsqyKlI+ee+45/MVf/AUefPBBeL1ejIyM4J133kFXVxdaW1sBQJUxIZ6z2ayKCJIGSFleQ45B6jrcT7rBZmJiAjt37kQ0GkWhUMCGDRvQ1taGw4cPW9agaZoWXedWDT/AxzztixPb1NSE6upqjI+PwzRN1NfXo1QqYf/+/WpxcnOvXLkSNTU1iEajqg0qur29veo7MEtUGKkjrap6dIK0OLNdCja0gIfDYVXMUdaOkZZpSUztFgLTeiRRk5NMK7QePkliwf5Kg5GMYpJGEV1oYSoNQzX1kDs+ww3M/sr6MMPDw8rDPT09jYqKCnU0N6/l83n84Ac/UM8bhqFqTchTbGTfqSDp+JdzTGWB7+G8SAJHgi4Zi/Q4EBe6gUISGtZzYgE0KmGMyuG6IBMIhUIAZmtvyDDYqakpSzgtYGVUdnuCDIWWaM4r3yv7zTVDAjkwMIBPfOITAIAdO3ZY3mkYBhoaGrBu3Trs3bsXW7duxYEDB/DCCy+o9SOjBJjKxbUjGSMFdWkBl94UqVxKvPOTa/DUqVO4evUqamtr0dbWhuXLl+PUqVMYGhpSVnefz4dly5apPXc7BNEBBwgsOj4yMoJSqYSmpiZMT09j3759KgKCe3nFihWIxWKoqKhQz3Pf9ff348iRIxZeQjoio2CkoCPpvi5okZ4xctPv96uChHJPkdZJniNBGpJp/CBt1IU8vlOmB7PPwGwELA28UskGZvmaFGz5yVMySedZd4DtcjxSkNJxODQ0hJGREWUUqaysRDKZRDabVQpIKpXC97//fYvBg8pIZWUl0um0csSQXrE2m1Q8pGGJ/ZLRQYwUo1wijUc+nw/ZbFZ5EuVhApRTpEAs6TodSEwPZii4DF2nAS2Xy6kaIDIyi+uCdJPKB9cyx6LzfWlk44k/fIa/kYfyTzpxhoaG8MlPfhKmaaK7u9tinAKAhoYGrF69WqX1Hjp0CD/72c/m1OsoFouK70gZigXJ0+m0xfBTLBZVVBlB9pG4l5HcLpcLJ0+eRG9vL2KxGPx+P+6++27s2rULV65cQUtLC1KplPLSkvc74MDtgGEYaG1tRWVlJfr7+5Xuk0wm8cEHH6g1Rtq3bt26OVE/wEz0vKSbcu3ztDo9mkJGT9jJZfxO2hMIBDAxMaGUdtIDuygM2Tf5Dtm+1EXk+0nj+V0a6mXb3MM0HJGO6dH1Uk+gQZr7l/RQ7zNpA+kk+9jV1aXS8PL5PKLRKFKplCqHkMvlkMlk8NOf/lThiQ4Zw5gpkZFKpZQML6MnOc8SP3KsUtYvFmfr5si5knPM/ut4k84R4lauF/J9BjcQT5LnUIebnp5WKcTEv9RD7fQ4yT90eYfzz7miri95sTTaSXnGNGfS6h555BEAQF9fH3RoampCe3s73n77bTz44IPYv38/fvrTnwKAxRZQKBSQTCYtUdh0NHAvSSMQHdwcg27gJF75yfccO3YMDz30EGKxGBoaGrBmzRq888476OzsRGtrKzKZDHw+H5YsWaJ0rNsxAH2sI3+AmUltbW1VC8/lcqGhoQEDAwM4d+6cEiYp0G3cuNFyIhKRnMvl0NzcrDZ+OBxGIBCwDU0D5loRgVnBigourXQUeGVqCy2lNETom1gWK+ZGYoQEQRIi3aAjCSj7RsFFRuxwg3CD8zeOkZvL5/NZvJp8v0wB43zwj8SQv585cwZvvfUWkskkzp07h7GxMVUcLJlMwuPxqJQIGQlEwwHD81iHRp4uQ+FX4oYRTVJA52aURFQqKzLVQlqbdSanzz9xwogX4kDiWPdI0GJvmrMpUtLyLK3zJMyGYSASicwZF/vKOaDiIKMFOJ+6MYljCoVC6OjowC9+8QucP38eCxYsUL+zbfbjypUr8Pl8ap/wvVRwdCY5NTWl0gOmpqaUosD1r9fbkMK3yzUbWaYb9DKZDHbv3o1wOIxisYhNmzYhFArh5MmTqKiowNTUFPL5PFpbWxEOhy17zAEHbgUo8LS2tqq6IcCMgtrT04NLly5Z6IXb7ca6devg8XgsqVbcu/F4HOl0Gj6fT50KSSO4DMOWberCs4welCleMu2YfSEd0duVdJARi6SJMnVVev/4jAznlnSOhiJ+yr0no0VkYWwaHIgv8jEZ8k26KAVMGUXDfpjmTH2Lffv2IZ1O4/Lly5icnFR8Z3JyUqUFSR4gU7M9Hg+WL1+O7u5uxXckvaLSRcGOtJyGF6loSB4rjUUsXs0/GW0j8Sx5BOeTtFuuA9J6abwh6FEvbIdjoPzBT44vGo0qXiXTj0nHaVTShU7JeznfOt9asGAB/vmf/xmdnZ1YtGiRZczERz6fx9WrVxEIBBCNRhVP4lrmOpMRO+Q58tAMOlsoT+mOBbYpUyZ0fpHJZLBnzx6Ew2Fks1msWbMGbW1tOH36NCKRiFqrTU1NCm8OOHA74PV60dbWBpdrJkLb7Z6plXnhwgV0d3dbDLwejwdr1qyxnGTFfcJrLpcLgUAAkUhEHdjByAUZCSIdu9LhzGterxfV1dWKBpDmSOO0TB2Te0FGqdAQK43rlIV1PiUd2aQl8l72WUZoUtbkczJLgW1EIhGEQiElb0qQqVO6ridl+WKxiP379+PNN99EIpHA0aNHMTExgVQqpfh9IBCwzAMNU+R7Xq8XS5cuxeXLlxW/k/qWzKqQNF7WA+LYpIGMOGRaMdcVaZ00ukneTpC6DvmcruPQ2MTr0mhEnkM8cU3oadRsi8563SgkHRLM0ND1J65HORb+7/f70dbWhhdeeAFdXV1YvHixwhn7R342MDAAv9+PYDCI6upqtbap60gwjJlMn0QigcnJSUxOTsIwZiN6pYPLbi9R5tF5NjDDc/bt26dkzjVr1mDBggU4efIkIpGI2j/Nzc2IRCLquVvlPR9744/X60V7e7syknCSTp48qSKBuMgqKirUMYlSiSyVZnLxGArJTamHAlMJlUQEsBIjPhMKhVAoFNDQ0GCx8lEYpPWTFcMpkEiBiPVRSLyptHNDEdhHaTCShgtgtgI6DVq0ktKwIxej9BDzHsMw1MKlN9k0TXUculT23W63SjWSuDt48KCqeL93715L/YVsNovOzk5UV1crQZ9MgGOIxWJYuHAhzpw5Y7EGS6u4xIm08nOeaVVn21L54HxyHtkv3TgnmYW8xmeBWeuyHqIJQBltiF+JNxIy+XupVLJ4DjkuSfQ4B/opP2yDTEP2RypxMs95cHBQWZFlSoJukXe5XKiursbXv/51VFdXK0WNa5GCAFPTcrmcOqUnm81icnJSzYeel0xcmqaJ6upqVFZWKg+WJPKFQgFnz57F4OCgEo6WLl2Kc+fOqXXICDP9ZD8HHLgVIG1tb29XRnkaQY8dO4ZkMmkRVCsqKrBkyZI5UT/chydPngQAlYos9yaFVxlpKvch2+L9FRUVKBaLqK6utkQ/yIgVRiU2NDSoYsE0VkejUVRWVqq+yH0phTKOjfyB/WBqrx7RwhNEmK7AdgFrxJKk6TSYkFcBUKekMbVW8kGmG8goJcMw8O677+LSpUsoFovYvXu3itRiZE9fXx+qq6vnGGg4hsbGRrS3t6tC3BRwTXM2NVYatIh3SWspA/C6rowAsKSfyRQLKbhKmk6c68+yH3J9AFC1cKTnnLRdRoHJtSv7TcWMSqKMnpFyEYHXZcSQXPsALArH8PAwUqkUgsGgJRJJjoVrNRaL4Stf+Yqq/0c8cx1zjbGP5D25XA6Tk5PKAUFlS65nQl1dHaqqqhCNRi2KIPfR6dOn1elssVgM69atU44pngITiURQU1MDBxy4XQgGg2htbVWOgYqKCrjdbnVQADArizY2NqK1tdVywpdpzkQ9Hj58GOl0WukzMkKC9zGag/ubdIF/0vBCZ0Ntba3lmGvS7VQqpfgY+Y2UPelYlgYDqRhLvgDM8hkaDgAoHiRpqsfjsZwKyfdIGVAai/jHw0rYDmVaRuzwOWD2xCiZ3QAAhw4dQjweR6FQwJ49e1TJA2DmuPSRkRHU1NRYDAiSjlZXV6OxsVHxHNJQqesQz6RHuvFD1hyUBjxJ52Q71IFIn/U54P2cS2lUJI6kIY74AezT6iSP473EB6+RL0n9jPKONCLJdUmngOyLNDzKkh08nIa6C/srdXZd14nFYopHEXRnCqN7WE+Puo6UUSS+iNuqqipUVFQoB7+co0KhgFOnTmFsbAwez0zh8DVr1qCnpweFQkFlmkSjUYuseavwsTb+mKaJcDiMpqYmJXTFYjEUCgWcOHHCIhgCwNKlSxGJRFTRWgIjUfr7+2EYhio2JQkFF5cUVngdmA15pOFocnISnZ2dKv3E7XYjkUgoJZ7WdRpVpqamLAIG30UiTIGaUUuSSLpcLqV8UKAxDENdYxQOjQPSystxsv4ChSEueFnwjEoPLbLsn9vtRjAYVAoDCTC9ubongISZHtdCYeYI4Q8//NCCF97PI8QDgQCOHDmC3t5eAJhjqdY3o0wNYHuMUpGGG2A2l5cETTI3/q57Zvm8TNeQoZnSIi9rTEmvBDBrmJNCKPslx8T3UeFgqCVBpuNJoiVzh6VXmRbpYDCojCTj4+N46qmnsGzZMgwNDVn6wnXr8/mwfv16Zcl2u93YunUrOjo6MDg4iGAwaFF+SLh1hkMcMfJHMhm5x+jZ5nqTe8Q0TUxOTuL9999HNBpFsVjEhg0blPU9EonANE2LstvS0oKlS5fCAQduBUxzpoZPc3OzKupbV1eHXC6n+I7kDx0dHcqgIq+73W709PTg4MGDKl2F0Qs6yLx+2Q8AKp3K5XJhfHwcFy5csPAdptWSDlDQJp1itBEFIKYKVFRUqLSWaDSKaDQKv9+vaLHf70d1dbW6h3Skurracq/P51ORGqQ33NORSASBQAChUAiBQACBQEDxEtIAt9utrvN+jjkajSISiSiBjx5NCstSoaDAGA6HEQ6HFd9hLSAaRsgHeIR4MBjE8ePHMTQ0pPAtw7hlVKUU1GUUqV16GJUszq00lpGG6wqRno4snSdSMKdzJhwOW+oUAbNGdRpzAoHAHEVLF05dLpdS5jwej+UZyhAy1Zx9pDAuPeRcY4FAQB05PzExgSeffBJLly7FyMiIJVwfmOE7gUAAa9euVUK8z+fDli1b0NHRgdHRUSXvkK/oNeuAWcONHd+RMgRxSfzJAuP8PZlM4sCBA6ioqEA+n8fKlSsRCAQwOjqqoqE8Hg/q6+tRUVGh6hg64MCtQGVlJerr69W6jcViSCaTOHv27Jw1vGLFClXvkVAsFtHf348PP/xQpRilUqk5RZkpn8lMBQJpEtt2u90YHR3F5cuXMTY2pqKrx8bGLEZw9iuTySg5lUBeyLbpbKaeIt8NwFI3j8/xGmmk7DdpLQtkUy6WGQq8JqPW2Td5YA8dJ9JAzfQwmaIkdRfyHRqIMpkM9u7daykDwfclEgnVl7feekudXi0N2dJATbxIGi/lfnkv3yOzEth/rg+2RdAzOKTRi6l8kucCsPAcPkO9iM/INuVcSXxw7QBQsgTfzU/+TpD6JfVX6qTUWcmrJicn8eyzz2LJkiXo6+uz6Ch0mIVCIWzcuBHpdFr1/dFHH8XChQvR19enCpRzjZPnlDOY0Sgk1xj7yjXJ9a872UqlmXpMH3zwgTpVcuXKlfD7/Yr/cZzNzc2oq6vD0qVLsWHDBtwKfKxr/gBAJBJRXs5SqYTq6mqMjIzgypUrAGYXlsvlwsqVK+ekj5CJd3Z2KkGnWCwqy7g+gTKXXUb+uFwuRKNRVVeEebVDQ0OYnJxERUWFEiYphLMQMJVwCo0UZPWaOlI4keHwXDgM6QSgwqRJrLgheJyubkmnoi5zQ2kwIh4lc6EVXBJhHa/yHYFAQHmfiUtpaQVmCtFJRqB7AQAoRse+MRxQFvuSBguZAsA6OBwj8c2NRXwST7r1m21T+CUO5OaUxEsemcs5ZL/YbxIrWSNE9l/2jR4P6b2Vc8l3GoahiAPnlGkONP5RSK6srFRpBx6PB6+//jrWrl2LgwcP4qOPPlLMob+/H8eOHVPW56amJrz33nuYnJzE/v37cd9996GzsxMXL16cU9SW60eCJGz8nQSS3zmu8fFxSwqmbJf4OXnyJJ588kkYxsyJS21tbejr68OaNWvUXP/FX/yFUmR9Ph9+8pOfzEdaHHCgLFRWVqKqqkop3bFYDKOjo+jp6bGsTwBYtWqVJdJF0oEDBw6oaBjpXZT7grxCRmzwHpfLpU6hokBTLBYxODiIiYkJFe0mi/1LPkc+QjolBTRJi0jj6UkmrWNqmSwoT0eGPAqWdFdGGJJXkh7JkzOk4YbClcfjUTUpSMNpzOd38gKOJxKJKIWDfaawz4jXgYEBAFAGDekQ4JguXLgAr9erjFI05ujP8H/yHWDmpESeOqX3j/wOgMKH7hkl0FgyPj6urpGXyjQ3ptjqBY4ps8hjlnmkL/kL15fO88in5Frg/5SXAKj6TMBMpEImk7E4IKgw0lhKZ8KOHTuwatUqHD58WEVgF4tFSx3Gc+fOoaWlBR988IEy2m3YsAGXLl1Cf3+/Ushkv+cD/k6hn+PhXI6PjyOTySicSdxwHx8/fhyf/OQnUSqVUFVVhdWrV6O/vx+tra2qL3/8x38Mj8eDyspK+Hw+/PjHP563Xw44oINpzpwMxZqXAFBVVYWrV69iYGDAYrR1uVxYvny5UiK5Zpmun0qlLE5TGnWlcZoR/nKPE1wul4rALBQKyoA0ODiI8fFxRKNRTE9PK6M8HfOkGTLVSUZBUIcg7aeRSBpaeI+styYN0OQdxJmMSpXjYFt6xJPku/zOum9SHwKgynmQhtNYzhQ6RhzJaFn2i3XNJE+X/TYMAxcvXlT4liUtJC5km8SjnQ4j6ZqUPwzDsBw0wbb4x2AAZqzokaa8n1kI5PeylhLxzDHSEKT3X4Iu4/Aa/6RzJRQKqZRe1rph0ASvATO8ie/2eDz4xS9+gY6ODoyNjeHixYuq3c7OTiQSCRWQUF1djf379yObzeLdd9/Fxo0bcfDgQXR1dVmMS3LudHnATheScgPfPTY2hkAgMOdUaT5fLBZx/PhxPPHEE8jn84jFYli1ahX6+vrQ1tam7v3Lv/xL+P1+hEIh+P1+/MM//ANuFj7Wxh/DMBCLxRCJRJBMJuF2zxxpe/bsWUvFchpAFi1apMLqiKRsNouBgQF19DgXKjc2kS6VUWmQkBuWYV4U8riBmDqkW5R1AV96KHkdsFYAl0YR/X/5jGEYKpyNY6ElnR46qQjzhA32l0I6ccGNxvB9Mg25MEn4WOyQG5Q4p8FD1oagUEqCJA0o3Mh8n0wBkMYWWkulMY3zxOJjhmGoTcXIL7bPuSROdGLH+SRu6fnO5/NK+Ge/5Lrg/HJdTk/PHPMYCAQUw/Z6vYpJALN5tATpgWEfyUTl+iNupdVZGhbJHAuFgsKTNIwBsylf4+Pjav2SeWYyGZw8eRIejwc7d+60vPfChQvqVD0pSHPsBEnIJYPhu/mM7A8JnlyfXN9yjPF4HBcvXsSSJUsAAOvXr8fIyIhljdHrqhuiHHDgZsAwZooxhsNhTExMwOPxIBwO48SJE0gmk+oeYMYLxqKvEjweDxKJhFJ0Sfd1466kKZIH6RENks5yj2QyGUutHt2BoLer8x0pbElew9/oOZZePgDK0ykNTIxApWeXUT40fAFQhZzZLwrRkneQH8k+ko4yZYj0mMqBNAiQDzKaQyrypIWBQEApWHxGCqzSOydr4lAIZH/IM8mbgsGgMnbQUywjdSKRiFKk5Jg5Thp/JN+Rp5TQicPxsc1CoYCKigoEg0H09/djenpa8UWJa+kEshPGJX2WMgRlH11WCoVCSpEj3yff0Z0uAwMDGB4eVnPMNPh0Oo0zZ84gGAzinXfeUfzY5/Ohq6sLV69eVXPndrvV/tMFcvZLNwxJfqLzH+nsk3uPYJozjgnyHdM0sXbtWpw+fVoZNwE4UaYO3DYYhoHKykoEg0Ekk0l1iuPly5eVHA5AOaFbWlrm0OX+/n5cvnzZomvQ2UynMAALzbTjOZTr+ayMmMjn85iYmECpVFJ7UR+HnQ4l5T/ex09pcJb9InB/07BMZwL7Q7rNk9HIE2X6EGmfy+VSNDocDivankqllPOCTga/349MJqOeZ3StTiNoQJG6CeVa4sLr9ap5dLtnTjKUhax5n64TSvla/k89jzyENJgOHQDKCSIN29KAxH7xvaxhKyOWdMMGeWM+n1cGwng8rnilTAuWfSFIJ4Scf84V8SkNd1I/Zp9pqNMdWbzX6/Wiv79fOX7Is4GZTKBEIgGv14u9e/eqdeHxeHD69GmcOXPGovdTnypnBOJ77fQbOxlMykSS53D9j4+Po7OzE+3t7TAMA3fffTfOnDmj+mAYBhYuXIjbhY+18QeACjkfGRlRAt3ly5fnnFhVU1ODmpoai+BomjNRPzt27MD4+LgSZJg/x5B+afGURhd5jRZsj8ejTibhO+SnrrSybZkSJDeE7CsXkZ4WUE54B6CKjOntSs+dYRiWnFGdCHORMtye3jBuRNkmPb4+nw/xeNwiUHIzypQoCsEyjF4yA6/Xq2oVUNjUmZQ0RJAQSwZHxSuTySjlivimEM/2aLHWPQ3ymmEYKpJGzqXLNXsUMYkT+0DGMDU1NSdEFIAKHwwEAmrdsU3Og2xTjpPzSkZM/FJA4LpkdIDEs/SccEzSky/XHNumZZ01eKSXm/urr6/PYv2X+0auUT4n0+h4r+6J1gVwOR+M/lmzZg0mJibQ0dGBeDyu1qUkvg44cLvAGleMaHG73ejs7LSEIRuGgZqaGlRXV1vC14EZWrN7926VnkWjOQvI6jXMJB2W9D8YDCq6Nzk5aaG1uoGEwL3Ee0iLpJAin5XP6Nd0kL/pPFMq4NKDK9vXhUrSaNIYaQySdNcwDOXZSyaTKBaLSmCnJ5K4ke+14690CNCYJkP3SSspXNKRIYV+CvakdTzhkwYS0mDOJY0MfI44kx5x/k+vPXmM5B+sY2OapopwLhQKSolhMWoKz4VCQdUmDIfDKmJIzgPlBOKOTh0+r0eSMtqIfIf3MHKNCgiVR46J8yDTe6enp9UeA6AivViQ1TCMOdHNPT09FgeI5BFSGNcVKpkaLvmOXOdyXxCKxSJOnDiBNWvWIJFIIBaLobGx0WLAdcCBOwF1dXXKMUm59cqVK3OUZRYZlwXRS6USTpw4gdOnT6t97Ha7VTolZVR9b+hZAjTqUslnqrJujLH7n9/ZPp/TDd3SgSFBGkP0Nk3TVBGHUj+TuJE0VeetOn8jHWINI8l/eS9rTE5OTiqdTz/Vj4Z8Kc/TmECnvDSw6LUy2TdpgCCf0nVGOYeU//mM1E9IN9mmzNgAZg0l7AuNSKRplD/k3JEnkua53TPp5jKaS7bFdPNcLmeJKpM0mbxCd4LI1DbyVepEwGwaFdcXebHUdRnNpafJUXfic+SzwWDQEpFGHuvxeOakjMnyHcSF5B2UFWSUr24f4Ni4XuVeZPbF8uXLkUql1AFXUk+7E/CxN/7U1tbCMAwkEgmEQiEUi0VV+V5u6JaWFiVEEui5GRkZATBLXGjNkzmQXBQALIuE93Oh0HMHWIsDy++6EGIYBlpaWrB27VqEQiH09PTg2LFjKnRPCmSSEOvCOPsiF5Mk2lKwl9Z9ueD5rCSOXFS05Mu2ZTiiYRiqtkpPT88cBUbiQs6NbnCSuNJBJ9J2RjVgtrgl+68zSDsc8n9JsPTfSRSIUwrjLpfLogzKjW4YhrKWM+xfGnNkTR7iWuZq85o8MlMSNzIEMnX2l0ohhWYyBOnxoEFHEkGZbkCvNQ1TJFr03gNQUTlM9xocHJxjdJSETPf0yEgmGUprtxblPOnro7OzU+2VUCiEBQsWzAm5dQxADtwJqK+vh2HMGIGpeDJ6VBo4GhoalHFH0qh8Pq88SJJOyTol+jonvZC0mymb8XjcNnybQp/sl6RrtbW1+NrXvga/34++vj7s3r0bfX19c/aW5B/ymm404nNyDHokkzQ462DHtyhAS95HPLFdnhLZ39+vcKTzXR1kezofuRGQuCV+ZNQv27VrWz5HfEmDkK5wsS3SP5lGIVOqCTTOsNAoI6bYJo1NTNFjnUPSdPaJfEdGp3JMFHJ5H79LIZXvlNE+MgKYz1LhIP8Mh8NIpVIolUqWQtWyOCzHTD7W3d09J9rATpGUfIf3kE/qa9xu7vT1fOXKFbX3TNNEU1OT2v92MpoDDtwKNDQ0wDRnov2qqqqQy+XQ29s7x8je1tZmiTYBZtYsi5GTfpAWS11HOvykkVfuC3kKpDTe63KabhTidXmYTTabRaFQwGc+8xlcvHgRp06dmiOb839dt5HXSVvkeKU+I3ks+6vfK3+nXM979We4tzOZjIri13mrxIlMoSs3Jju5WO87eYSc72g0anHc8l5d15TPygh9zjnpIXUfPYCBkbmU02nQ4lj4PJ3b7CMN9eSPwOypwYwGlgYSXpPrTurbcmwS3+wbn6WuUygU1OlXxAH1I+mIkQ4cOuO5Xll2Ip1OK/4TDAbR19endDs5Z8SxXAdyLgBYTs3kGKRMJR3mcqymaeLy5csW/rlgwQJLwXF9/9wKfOyNP7FYTBl/Ojo6kMlkMDw8PMdIsGDBAluGTK8ejTdUfjnxMrIEmBsKzImUx9AC1gkH5kap6IJ9d3c3hoaGEAgE0NjYiG3btmHlypU4ffq0CneWRFESCimMlBNc5BjsFicXEftKXHEcdgKxJGbyvf39/RajkJ3RRx+/JILlFi2FWEkgdeMSMFtPYmpqyqJgSALLcfJ+/i43nZ0CRKVFjkF6eCVuyo2B79BxqX+Xxg+dcPAeu/akZZ7rWVrTOb80zkncyzECsMyjLGzGnFhpOEomk+qUBDkf0nDGd0vBQI5J4pbzqJ+2xrnT52pychJ9fX2qAHxzc7MFTw44cKcgFoupNdfa2oqpqSl1ipRc7wsXLrSlOTTwSqHQNE3lOdSNEqZpKsMm9zEAdbS2BJ3vANbTnyStmZiYwDvvvIO7774bkUgE27Ztw8WLF3HhwgVL+LEubOmGE/IL3eskFWb9mp1SLmmZFKYlndPpIZWZ0dFRFYKt98GOr+h9Ksc75+urTs+oFNnxJTv82+HKTkGw6+PNwPVooMSl7iiyGwNB5zW6sUSuV6lYSbmC0bxSuWFEATCrKJimqYRvymg0NCUSCYv8JcclFVp5XTpxeI1KAWVDO/lEyhGl0kyx6v7+fjQ3N6NYLCISiVhSABxw4E4AdZ1UKoXW1lakUinE4/E5a7StrU1FfRBKpZI6hVI3TsuUTQn8TX4HZk80lNfk/tLpNzBL00KhENavX49YLKYMtxcvXkRLSwsikQhOnTo1x5ilG1sl7S2n2+ig01Fd4ZZty77L77rekcvlLIEGevtsW++nnrnBOZH9l/RJ9kcfH6NpdKOPnfwg10M5fY6fujFN4kfXk/Q27d6v8zQ7vVHnP7rcJKOKdPzJOaSjQeJNyjIALGn4NGJJ2UviMZPJKAc3+5ZOp9Hf329xVMtxAbNzT31K6mDSCAXMRivJsibS8EOgnMGgFdZsraqqsjjK7gR87I0/9FRls1nlLWKYNTDL/JuamiwpX/xt0aJFWLp0Kc6cOaOQp0fI6ESCE2pnJNE3EMGOQEgBqVQqqWMJJyYmEAgEsGXLFlRUVODJJ59EJBLB0aNH1ZG1OoFhm/J97Id8XzngeKTFVn7q45E41AmiXdvyflpmaZiQv1NQCwaDKoydxgUpYEuhk0CvoDTE6UxNCm5sW/cQ68qFjkc7/Eocy3fIe6QQqjMa+X7Aekyh/puOW32t64JuufmQ1n8AioHQ28O2ZWSOjhtJZPV36LiRzEsyRX0M/JTv0XFLkNemp6dx+fJlZQXnCWsM3XXAgTsFrC3DEyHIdwhcr01NTXNSS6lgPvXUU+jt7VXpSSwezed1oUbfK/I+O4OHfr/dfdPT0zh16pQq7r5ixQp885vfxL59+zA5OYnz58+rU/9k29KgzHdI5duO19jxp3K/Sw+Y7L+d0dg0Z2uulQPJd+zSzfg+v9+vjmSVCr4dHyH4/X7EYjGk02lVK07y9nL40Nsqx0v0scox2d2ryzg0RtBzabcedBwDVo94uf7yXhlFU07G4aeOe4btkx/zN70mRLk9wL6UW1NSiZICueS1Em/SYFXO+CXbzefzuHz5Mtrb21Uahyy46oADdwJkfclgMIh4PG45fhyY2Yetra1znvV4PFi6dCkuX76s9hoVbJ3OSqOLHb8BrM5Jfpeyp3yHbD+dTuODDz5Qz/p8Pjz88MMoFos4ffo07rrrLqRSKQwODipHIN8r6ZVdv6XMLZVmRrHodNzuUxpIZP/ZDsfK7zrNIPA76a7OD3iPaZqqxpweRarjXM6Znc6l03N+l8/IvuvvkjjTP3X82/EeXTew42cSb7oxStdLJL6lzmQnx0idnBExMspJ12PJ4/UUcLbLtDCdt+pjJ97Yfzt9SF9Xsr9yjnRc6+1I/OVyOVy5cgUbN25UUb2stXSn4GNv/JE5kDxmk94/ItTn86n0MF1AikQieOqpp3Dp0iXLMXR6OJbM97cjjLpxRBJDwGpE0TeR3Ai8v7KyEq+88oqq+N7R0YFHHnkES5cuxe7duy1EX++HBLkhOTYKYPrCkgR52bJlqK2tRUVFBUqlmQronZ2diEQiqpYPYPWeEmio0dvndwpF84X9c/Pp+Jbj1Qnppz/9aaxduxaXL1/G+++/j66uLhVGLyNU7AS5csKj7JMdbvXfywmLsVgMn/70pxEOhzE0NIQ9e/Ygn8+rlCo7oXm+PkhFiMRFJ+wSyhFiXTgHUDbSRl/D+v/yXToztMOTzmhlATzTNFURQr2vbEv3bJmmia6uLrjdbktaiJ2y4IADtwP0HJHvMNpRrnmfz4eamhqlJNKxwPSYZcuWYdOmTXj77bcBzO4BCZK/2cH1jAqkC7qwpgPTURsaGvD8889jcHAQixYtwje+8Q08//zzqjCiBCmclRMKeY319IiDcn2tqqrCI488gvr6epjmTEoNT9qwG3c5IdCufXqr5+M7fI8UJuU77ejw8uXL8Y1vfAP5fB67d+/Grl275oSdXw90wV1+6u+2e24++lZZWYn29na0tLRgfHwcu3fvtnUuyHeVM/zo7y5HX+dbD3Js7INURPXn+bsuY9mNX0aG6WtBH6+ON8n/dI+rDroi1d3dDY/HMyf9zuE7DtwpIC8gbWGJCa5DptiEQiEEAgHL+nW5XHjooYfw3nvvqcg7AKoel9xHTNVkPTPCfLSCspauy+j7RBoKgNmoi/feew+jo6NobGzE5z//eRw/fhy7du2yRKfLNvhuO4OAYRiq9ihlbLt9Dszw6OrqajQ2NqoTmS9cuIBFixZh1apV+OUvf2kJJtCfl9/teMN8tJ8yPJ2TpKc6jdPH53a7sXr1alRUVKioQ6a7svYaM1rs+D3nRNep5vuUfbaj7bKfPp8PDz74INra2pDJZLB//3512E1XV9ecAAH5Djv+rcv8cr3b4Ur+6fxbN+BRJrCL/rIbs91c6xk9+hjIk+wcefwuHU36OCRuZT+6urqwdetWpNNpSw3EO+Xo/tgbf4BZY4DX67WknRAZwWAQgUAAfr8f6XQauVwO1dXVaiG1t7ejtbUV3d3dKoLA5XLNyUk3DGuosB7mWE4Rlp92IJVYw5jJ4QyFQnjvvfcU8Thz5gzOnz+vak3YtaEvdJ1IezwedeysfnqSDKUrFAo4f/48Ll68qNITNm/ejI6ODqxfvx7/43/8D6RSKUskjhy3XkOonNBWDsoZU6TRRyf8pmliz549yGazWL58OZ566in86Ec/QjweV/mZyWSyrFdWRnXZETX+ZodbXtM3vHw2lUrhwIED6OjoQE1NDR566CEsWrQIxWIRx44dw+XLlzE0NGQ5ArgcbmS/dSOK3ndJeDweD5qbm2GaM2lbLBAr7yvnBZXX5HX5jE447fCk47EcDu32kfTC67/x2sjIiEoJcARvB35VII3/rD+iC3qRSESdapXP5zE8PIy6ujoAs3tl3bp1OHLkiHJY6GtXL+wu95oUJuS+0YV+YK4yLeko/6qrqwEAH330EYrFIsbGxhAKhfDFL34R//iP/2h7eks54HtIdyKRiDJ06zRK718+n8fU1BSSySSy2Sw2btyIrq4ujIyMlHVaSJzoqXTlcEO4EcOF/pv8fubMGfz1X/81Ojo60N7ejqqqKoyOjgKAqscjcW6HK9m/crKCnQBaTgGSY+vt7UVvby+8Xi+eeOIJbNu2DR999BESicQcT2E5eaUcT5bP2Qm8BJ/Pp+q58bQc+Q69fV1h1Ptmx6ftcGIHkifK9WGHSzqP9HWn95drU9+nTsSpA3cKyAcAzDlYhuswEokgHA6re6emptRJizU1NVi9ejWOHj1qaROA2pMs8gvMRkxI46sewQBY9zrvsZPV7Q6qYbrKyZMnUSqV0Nvbi/7+fjz99NPw+XzYsWPHnGwMfZ/qwH1fUVGB8fFxGIb1eHmC2+1GVVUVli1bhmKxiJGREZimiQcffBCGYaC5udniPJFjkvoI4XqGEjtlXo9U0uVnvV2Xy4VwOIzHHnsMixcvRrFYxMWLF/HDH/5QRb9GIhFV681Ov5NzpkcEleu/HIP+u5wH0ubx8XEsWLAAbW1t+P3f/33E43Hcf//9+K//9b+ir69vzrvKtSffq+s55fgHP3WclotGK2fon4/vy2vl5BH9Xju5Qtc9AdiuVb0t0zQxODho0WfLZWHcKnzsjT+0IvKIbgpaBJfLpU6HKBaLiEajiEQicwpefeUrX8GVK1fQ39+P/v5+TE5OYnp6GtPT08qKyvdwYmTlcimg65EcvM5QcrtNJWHBggU4f/68ClGXgkR/f7/tM3Lh6CAFqampKYuHWidgBFn3aHp6Gh988AG+8Y1vIB6P47777kNNTQ1OnjyJCxcuWMIOddxLT5wE3YopCbpuBLATuO0+x8bG8MYbb2DHjh1YsGCBCiG9fPmyCueXnmdJfCUx1om7vCYNFzpx1/sn7ysWi+js7MTFixdhGAaWLFmC9evXY//+/ZiYmMADDzyAVCqFnTt3zqn7YQflhHSdEMvvfr8fDzzwAFavXg3TNPHuu+/irbfeUie46QxVEiaJEzvmLvui40xnePMJ5XIcsj15skE5pg/MRIwxjQaw1rVywIE7BYyOI9+Rp4Jw/dfV1amIUZ/Pp2qCFAoFJJNJZUB/9tln1bqVheF56hd5DWk378nlcoqmke/Iml78kzxE7iGdNm8ulVD7/PPoCARwsbYWpmli//79ME0TCxYswEcffWQr9JYzmBMX09PT6th5wBpergvPyWQSb731lsXQ+8lPfhJ//Md/jJ///OcYGhpSRnL5nM535G92AmU52i1/J5SjV4RCoYArV67g6tWr2LhxIyorKzE+Pq5ST+Wx7/q7y71Dp5XX6898hhheK5VKin9XVFSguroau3btUgW+uSZ0HifbsONzukKm03tgJvJ18eLFqK+vRzKZxLFjxzAxMTEHHzrdl9fke+TatZMj5G928oTk53Z8jqArtuXmgDXwHL7jwK8KaKABZuR8qetwTdPQI0+zlUrkAw88gFAohO7uboyNjSGTyaiDQVhol7wkGAwqWq1H4JCPSSOuLKGgZzKUMxosXrxYORt4T39/P773ve+htbXVNppIj0LXZVb2c3x83BJlYuccj8fj+OCDDyw0L5VK4Utf+hLOnTuH9evXw+/34/jx4xgeHp5TL2k+mmCX1mRHz+2MYrIt3bmaTCbx13/916ioqIDL5UJtbS1WrVqFqqoq+Hw+fPDBByqVzC6aUvZP10evR4d1sKP5dGifOHECwAzt/+53v4uzZ8+iqakJo6OjtulJuvxvx/PseIuOO2DmZLwVK1agqakJiUQC+/fvx+bNm5VBUer/dmvTjn+W+93uXjsdUt6r8yc5D/p3eb9sg84xmQFi159bhY+98YcEkFXEeYQoMGt88Hq9ymijIzCdTiMej6vTwhYuXIiWlhZF2ORRfRTAeVw3hfF8Pq9+l1XzSTSlIkzjAz2ipZI1H9UwDKxLpYB330W4shKX6uosRKvcSSJSIbcTeLn4WBVeJwpycdHbJdvLZrMYGhrChQsX0N3djaVLl+KJJ57Ali1b8NJLL2FiYsKiWLBNKQTphJL3y2tybiTYebB1kBs5lUrh2WefRSqVQldXl8rxZGSNnRFO74NMEZtPKJV9lHPDeZfKEa+1tLTgxz/+MS5evAjTNHH27Fl1apDOzCTYKTm8n/2V75JtpFIp/PjHP0ZVVRXC4TAaGxvx5JNPora2Fq+88opSJu0KYZYTgMvhx25+ys2b3T168XG7iAGdADMXNpFIqAiLO20Nd8ABYDY9iHXk5OkppP+VlZVz6szxnsnJSXR2dmJ4eBiZTEbxEJmvzqhTYGYvBoNBRKNRdQIT6TT5nKTZ5IMs0i6PEi8UCqpQNA1J7X19+Nr3vgejWMRjLhf+r8cfx6W6OpimiQMHDljoSzmPFAAL7ZF7TtbCkTXEdPqph0bz+969ezExMYEFCxagsbERx44ds9RSkLSK+NNTFuyEvfnoVDkBU3/WMGaialtbW3HPPffA7/fje9/7HlKplKUWkTTCzQcSP3I9leNZ7INOo3Xh2e/3o6GhAd///veRSCTQ1NSEtWvXKqeSbvgB5ipxdp5//V47/IyOjmJsbEwpK2vXrsWpU6eU3KAbdPQ2dF5sN27dIDQfb5d91sfI61Rk5Hv0vUzI5XJIJpOora0FMMt3nMgfB+4UUGEmfaAuIdcl+QFTiwmJRAKjo6OYnp7Gxo0bce+992JiYgJjY2MYGxvD5OQkJicnkclkVO1ROh50xVTuC7/fj1AopPrHdzNzgn1k9gQwa8RaMjqKxw4fxrsuFyYrK5Vuw0+ennm9g2d0OZC0RJ6SLPch+8exyPaBGaV6YmICV65cQTKZxKOPPorvfve7ePvtt/H+++/POc25nDFI76s08tjpaHbf5ad8NpfLYXx8HC6XC+l0Gs8++ywqKytx7NgxleFgp1uRl+inuzGlUDey6e+34z/ljFq83tjYiPfffx/Hjx/HAw88gNbWVmzfvn2OrqOD7LPef/05+X6mna1ZswbT09M4efIktm3bhoULF2JgYECNtZxOqvMT3ZFdDgeyRIWdoVGPYtWNXXbj0nHJeSmVSqoQdTQaVXtS16lvBz72xp+pqSklfAFQwjOAOcqw3cbMZDIYHR3FwMAAEomEIn6S8HHySNhoIWdBWRb0lOlhnAy9oLAkcPyTgm7jlSv41F/9FQDg97xevPhHf4T+BQvUxHN8MgyZi2h6etpiCWSfeBwwDU0STzRIcZHb5Vy6XC7EYjFkMhl89NFHKJVKOHz4ME6dOoWamhrLCSvlBFMddMOTPk/lhE2d0FB4Y4hqNBrF0qVL0dbWhkOHDsHn82HLli04efIkJiYm5px6owt88r3yPbrioBM73dAin9cJRm1tLfx+Py5dumRZF3oq3vWEV/27Hhpr9xxDMicmJjA0NIS1a9fCNE2sXr0abrcbwWAQIyMjOHnypEXwlQW0pWJlFzI5n3KlMwfeIxUcPTRTEkr5jF10EcfX0tJiwU250E4HHLgVYHFmrilJ5ymAy08C1ysjSvlJQ4zkDwSdZkmDpk43SQ9J+12umToQPPo3EAhYnCEejwc+nw9rXnkF7mvRNF7TxNOVlbjw6U+r90ljkewXo3rIQ7g/eT/HQ0VAFvuVwpDuJLhrZAQrh4fRv3QpSqUS9uzZg2KxiK6uLixYsAAdHR04d+7cHOEMsDdQED8SdGODFOKlIURvQzdU1NXVYdOmTchkMnj99dcRiURw33334b333lM83o5vsB0ebsA+lTNu2PEf6QW3U0IkfVy6dCk6OzsxOTkJAOjr61O1nHShUeJVvk/HlV1fdb6kC64jIyO477778LWvfU0peB988AFGR0ctsgvHx0/Zx3K0/Eb7qY+zXESpdKpJ0KPdTNNEPB5HY2OjpQ+O8ceBOwWUs3XHmNR/mCYs1zgVxcHBQQwNDal6iFK+C4fDqKiogN/vh8/nsxzBTaM1jTasKTM1NaUiT6enp5HL5ZRTXJ7aKp0QvL56YAB/+fbbMACsdbvx3556CpevlbSgjiWPqqfTgjxL8lHyFF4nH6VOwD1IHi2zNewMCHV1dRgcHERnZycA4KWXXsLChQuxfPlyBINB5fiZjwZJmkfQ9Std99H/JD3X+0leX1tbi3vuuUfJ89FoFAsXLsTly5dtDTHkFTILhcYwKVdIemiHIzvQnd+maSIcDmPp0qV46623kMlksH37dmzdulWdZK3jyU5HlyDb18fG5wuFArZv344dO3agUCggn8+juroaK1aswPT0NLZu3YpMJoPLly+r0/KkE4Br1DRNdbLkfA4vOSeA1fAj8Sz7K+UHnW9zfUq5Rjo/iNtisYhkMomKioqya+524GNv/MnlcnMs3boCTQImT6Sgwk2vKOvgMDydnlNJYHVBRP5vZ0WUgjg9tdL7yVMh2H/TNNF2+fLM8wDcxSJWjYzAdf/9qv9er1d5k71er0XJkISD7+YxqrqhJJfLqZM/UqkUAoGApQ5MMpm0tNnY2IjR0VFVp4a4z+VyilkQyFj0KCV9biSuJJQjmOUES7bR0tKC9evX49KlS/jlL3+pNvGnPvUpPProo3jhhRfmrB+2QeWI825n0NAJpE6k9Y1nd93j8WDt2rX48MMPUSgU1EYvd798l95n+d1OuJW4lvgi4cnn8xgaGsLBgwcxNDQEYPbENKYp6MxK7gm7cNVyQrIdI7ETUvipMwO5x+Qf+8O5KRaLSKfTak+U65cDDtwO8HQOr9drK6wBUPubvInXpVOAPIjGVbn2dZop97WdkR6wj1DUDRmSlnEfF0olLANQMgwUXC687/Oh9/hxAFC8h+OQnlO3241oNGrhY16vV/Ep+azsg9ybdFowIqnxyhU88eKLcBUKMM+exWvXTuSk8iEFOtIQ6UwhbiXf0z2hElc63SX+9EgYSb/YvsfjwYYNG3Do0CGMjY1Z8LVu3Tq8//77c+ZR529sn+tBd0Lwu26gsGtPXqfgaRgGampq0NjYiF27dlmelwogr9kJ+OUEy/kEdIlnff1ms1ns3r0bExMTePTRR/Htb38b77//Pvbv3z/HCCXnSc4DcadHmenrf75x6TyuXJ9lu3bjLZVKKt3YMf448KuAXC5nqckDzKVhUg/SFWkabFgXlYYTOoJ1Wse2KUuRrkvjjN/vR01NDfx+vyXjQhpvJJ1iP+/66U/hYp9LJXy+uhpdX/zinEhWO91G7yOBPIbGH/KLUmnmdCdGy9CAw6jXsbExdRhMLBbDokWLcOnSJTQ2NipjdCKRwKFDh+DxeFBRUWGJOiXuZOSF3k/OgR1t4rjKHe5gpw8FAgFs3boVbrcbZ86cUSlp7e3t+IM/+AP8r//1v3D16tU5a8g0TXVYhYwck+tFd3yXkzX0dvUoe7fbjXvuuQfHjx9XB/jkcjns27dPRYtJvNgZduzGr/NiO/1RygLATOTb1atXVV1YBgnIgAY7Wm3njKD8JPtAXqTjSufZdk4D/budnGK3XhhBvmDBAsv9vzORP3ooJAVQhuYB9pES8o+LhKlesnaCXjFdCmHAXKGQ9wCzC0cKWTJkEJj13KmNF4lgHQATUEJ4z8mT6l6OUV+U0ghEIBGVxJr/82g4v9+v8nyDwSAqKysVgednZWUlat99F/lLl5DZvBnTGzfCNE3FOCi853I5BAIBTExMIJ1OW0714jsSiQSmpqZUlAufpyFJP/1KWk5lMVSdQCwdH8eTPT3YffUqOkMhmKaJqqoqFItFJBIJbN26FW+99ZYyeOlEmLiUaRpyM0riLP+kMU8+Y9e+y+XC6tWrMTY2hkQiYVEcOV8kQnqIqFxr+nU+S4FYFz51hYbPhkIhVdiV90vvjByLbFPuKQnljE7yXq53PZS3XIQX76ciLa9LvMpx2+XBlhPcHXDgVoC0Ta5Jel2BWQXXDvT9wT2vC092HqNyQgpBN7baRS7IPcm2xmMxAMBHq1djz913o6u+HrgW5SMFb53v2BkEpJODfeL+pnIihXoqFjQWrTx5Eu5CAQYAs1jEyuFhFD/1KUtKge7QAaCMR2yf9IxKDtO15TVG+uZyOcWbiXdZnFgavTnuu0ZGsDGVQuH8eaRSKcU7KioqMDU1hU2bNuHkyZNzCoHrdNUwZmp1yN+lp5FzKGmm3RrQaR3nZnk8jqdKJezZsQPGtRpVcq3IZ3UDC99PKKfM6GAnwBJYkJZC949+9CNUVFSoejmybZ0/6opCORzY/c89Kk9y1fciP6Ujwi7tRMcDFUw7XuaAA3cCyE+4fyn3SBlP13PkNUmPSdtIB8vRFLYDzKUr/L+mpkY5ze3oiH6/2+1Gr9uNJdfaL7pc2GsY6Nm/30InSOd1owT5LnUZ+Z08hE5Mfo9EIqiursaCBQvUNT7HT5fLhVAwiODbb2NbXx/Smzdjat06i5MmlUphcnJSGRASiYSq98Xxs01GSCUSCcVHJN+lrM16SjTK6KlXfD//NwwDK1euxNjYGC5cuADTNFFXV4dUKoVkMgmv14utW7dieHhY4VLKy1JXZrkUydt1XOu8T59fHfhcR0cHXC4XBgcHVXYM+5/L5ZROWG69yfakniDxIwMM7Jz2fL6qqgrxeFzpnZOTkzhy5IiKbiunt0kHir4P7GQqeU3imMYv/V47fiKj0+Qeku0SstmsxcjK5+8EfOyNPxTYKDhIhReYG/HAe/SFLRe4LmDphh8744O8x+WaKTKdz+ctRZP18HRg7hFzAwsXoujxoKepCTsefhjdzc2AjQIg0274TrkRdChn7JDvlvexrx6PB09WVKD9L/8SIQARrxc//c53MNzRoTwBslgcia5Mi+M1/k9CrVtxZd0kWdyOhVBplOPv3JS1Fy/i8RdegKtUwjqPB7v/j/8DiVWrUF9fj4qKCoRCIdTX1+NP/uRPMDQ0hGw2q9IfSKxpiOE4ZFSWxJvcYFQoZOQJCZJMAyF+G69cQf1HH6GnowOb/vAPLXPKdiUB1pVAOyFczr9cT1KBkZFYxGmpVEJ7Xx9aDhxA49KlGFy0aI4ngBFixDvTVDh2AHOECPk+fX8RD1Ti9FBKHcdyPbLP7BcAi2Agn6NBWCqd5faFAw7cCsjixXJdSt5B76BdEX4J3BOSJgP2RtRyirdUbqWBSBpFdSGGv5umifC1PXNw1Sr0tLbCKM2m2bB/8jnd+Cr7Y6f4SxxJ+iH7yXEcrajAJpcLrlIJ8PnQv3QpDh8+bOFdFJD4TtICaRSSUUfkTcFg0JK6rd/L9oFZz6ikmZyD+suXcd9/+A8z0UmHD6P2//w/kVi5Ej6fD1VVVQiFQohGo2hra1Ppb4xSJr7IXySvlfiVioI0xJCuy/m3y/c3TROVH32EFf/b/wYAWOfz4cLf/A0Sq1YpYV/SeslP9EgAXWbSgevKzlEjFRjTNNHW24vagwfRvnIlxpctU/iRCg4jcIk38h5GRskaWfJ53eEmFSbZf9OcrdGgj8lOadXTErkOZDi+XpCX98vPcsYyBxy4HjDalAq7VH6lg1JXFKXRXK5dqUvoiiP3haTLugzFa9x/MqWXtESXjYGZvXG5vh7JaBTFmhr89IEHcLWuDua1Gj0EGl7lfuT+Zx/1T0mDOAZdv7E424Vz3Ofz4VMuF5b95V/CNAxEPR68+b//74gvX674B3WZqqoqeL1elSpHfUE6zXUln/PFurGkF7lcTqVO04AkDT7y0KFSqYTFXV1Y39WFIxUVqLnvPvh8PtTW1iIQCKj1sXnzZqWfBINBC3+U+lc4HEY4HJ6Tqi6B+pZM45ZBEnZz39DZidZLl3C1qgqLnnvOlg7K0iU6nuQcUVeQc6qvE7me5f/83tDQAMOYOUlbRhpzPco1TUP+1NQUisWiKpnCudCj5XS5j//r/SRwbDqvls4wO31e/59ywK8KfmOMP7SaEuSmL+eJKReqZaeEyt/sGLkUCnSvpxTi9HfINvpcfTjnOodDXyzgk/FK9DY1AVq7uhFA9xbr/bEDaVywe47tUhCs3bMHbMlVKKDuzBmcuZZnKD3LuoAqccz38k+GhcowUd2CrxtjmMYm/xa++y5c1zzF7kIBywcHMfB7v6f6kclk0N/fr07ckRtM4sPOykqc6NZv3heJRCyWdL0dthU6cQKNf/InQKGAar8f/T/4AbLr188haOUsvHbX9LUtx6UTUMn0XC4XvIcPI/itbwHT01gQCCC7fTtKmzfPmSd9XejEmgSRRzOn02lMTk5iYmIC8XgcExMTKtqL+JOeJ5kSEgwGkUqlkE6n4XK5LF4pn8+nUhO5ruxwQaIpUz7s1rkDDtwO0MDIaA99r1KBlb/ZGVAkT2CEG2AfIj4fX+J7IpGIqsWgR4jqtEDS6Og1pXXqmodOGpN1r2G5/kgl265ver/teLNhGOhuacHpZcuw+uJFdP7d3+F0IoHStZOh5PuIK8MwLJG+Er9yDLrgLz/1eSqHM/5Wu3cvDEYnFQow9uzBhWv8TOdpehSPnFfdISX7pacDy3HpY5GKlbx/05tvzsgQAIzpaaRffx2nbJxadrxGb0tXmuycabpBnu24XDO1pxo6O7HhL/8SKJXQ7vPh6H/+z0jffbd6Vo/qkgY8iVP5bvKSdDqtPPGJRELxHhqS8vm8ivKiYgkAgUAA6XRa8R0p3JPv8GQyOTbd4Kg7M+TeccCB2wXd0a3LQLxmJ9OzzptU7qUOQrlMXpdKbDl+ZBgG0um0JfpA13XkOwilUglvLffj5RUTcLeYaC7a6y96NIcdzdJ1KSnv6f9LOqvjyev1Injq1ExbpgmjUIBn/36c1g4bseMbpIfEA0tyMKpVpkNLZwTnJRqNWgxROh1ku6ETJ9Dyb/4NUCqhJRDA0I9+hNLmzXP4lM/nw0MPPWTLx2TfJb51/dTOYKPrOToYhgHv4cOI/Nt/C0xPoyEQQOLll1G89945uLObEzvZQf6vt2FnLLLTowzDgPHBBzCuXkXpgQdgbtlSdgzS+KbrfplMBpOTk0gkEhgeHlaF0mXZGHnwk9/vV0YaWUojFAopnkW8c3/TmKhnL7G/MjUSsDq55T6bzwZwI/AbY/whQZSWYgKtsHagE0vduKMTMXrnpKdMelT5ybojbJOfUniS1wbcA/iR70cwiyawDHizeAbPTq9FS6lljvIghXZ9QxDm20zzbSB5DbimxFwLSS8ZBopuN66IHEO7UDvZR7t6Nnpf7ED3whL3nG/ptVuYzeJbAEqYCSF9K5/H1e3bFY5IVAGoEDzJ2ORYJCGRuJH3sF2CJNS6IZHtP7B/Pxqnp2EAKOVyuPD3f4/3HnxQPW83H3obFFjlb1LY1nEmCQTfwfs379qFtfm86s/Zv/1bnOnrs3iJJINixJb8ztRBMjAawvhe6bllekUymcTk5CRSqZQS0imQc44DgQAMw1BCeqlUQmVlJVwuFwKBADKZjKVvxWIRqVQKfr8f1dXViEaj6jk7ZcQBB24XSIdkGpPcd7phB5hrbC9Hx3VjuhQu9bRhvf1UKmUxAPO6XidCN4wErhUcTvt8cyJeZV+lsCbHWY7/2PEaHR92AvlUIIBiNIq3Uyn09vbOeX4+3kHQabR8p95Pve/6fOgC6tmGBtzvcgGlEopuN07X1mJkZMTShnyevMHuXXZjuhHDgb7edHy4XC7Uuly4G7O1nI5Eo+i9etXWECcNSHp7UjaQdYJ0XF2P1j5x5AhQLM44k/J5JH7xC+wfH1e/S5lKGtt0B5GM6GL6ut/vRyAQQDgcRiwWw1133aXkQtM0VfQqPeI8Zc/r9WJqagqpVArZbBaZTEYZg8j3KisrkUqlAMwYi3w+n+JnFRUVqKmpQV1d3bzjd/iQA7cDpP26TMf/aeSxM6hTdrNT3nUdSJeZmZYk97p8Xh6yI9sg8Fkpn14JXsH//eQoTAAe/BTP5Z9Tuo4d3+R1+budcUKn2XbGKDtdhPQhVVMDYFbXudTaavsu2T7bMgxjDn+241F2OpjEu05HpXxQdfRVTG4t4ZEu4N6+HM7//d/jgwsXLHNDhzmzTXQHk94/KXPIzAMdXwAshijA/lSrLXv2YJPQLU7+j/+Bw489ZrnHDkf6b1LfJW70tS/5peQRsl5UKBTCfd3diP7xHwOmiZLPhw//439EZu1aZRCVGSl2NQuJ02AwiLq6Oos8wcgoOq7j8Tji8TiSyaQ6SY/pgowmTiaTKpIqGAwCgNJ7qFexthSNecDMSXSFQgHhcBiRSMSSOqfvz9uFj73xh4SJaTu6wAxYi6DNB7pBQAo3/F0XIkkk9VB7Wvtke/NZ3a+6rsLE7KQVDRM9rh60mq3qPoKdUK6DnaBtJ2TL9vTxc3wnjG68+KCBaOVa+CpXz6SiXed9ersSL3Zj0ImRDBeVTEav4O92u3G6LoO/fAK4Z2oRUoseQH9zsxJQeT8/XS6XWjP6e03TerSu3Zh0QxnHQuXProCm2+1G9+LFuB+ACaDoduNCc7MldQS4fq6mbqwqt1Y5jvkMH6dqarDW5YJZKqHocuFoRQV6rxUbl2OUjImfFCYknnSPBlMs6DkNBAIIBoMIh8Oorq6G/1rtCRJW9p1RQdlsFhMTE5iYmMDAwIAyGkUiEYVnt9utTqeIxWKorKxEfX09Fi5caOkr8WFnJHXAgVsB6XSw24NSeAbs6W85WshrUviRbfPP4/HMCZ2WHiudZ7A9O+HSdS2iLnetEKO8R39OVxTsxlEO9Hvsxm6aJs5VTOJHj+SQHT2GGtTMuV8XWvU27YxO8+3/ct5M4k06ewCgu6UF/+XJhcglOpFb8QRQ01K2PzSky5oYdnxYVzDmA3mPHnFi6X84DAA4vHEjjq1ciZ7WVkDrgzT2UZiV38sJlJJmE+ycIxI629txH2b4YOmaI0nijOtX8lKpEJUz4sn+yO9UCKQHXhqNqBDX19ejra0Nbrdbnb5HPkQBnB5dGpqCwSAikQiqqqoQiUQQi8Us8sOdEsIdcACASiPWI+6ks83OcAvAEkGvR+0Bc08+BGZPPZL73+fzWcoH8Lqdk5dysV675HjgON423p4hQwZQNIvodnWjpdSi+qLTJIKdriDprpTzyhls7Nrku45E4vjFNiAaXgGjdv0MvdSgHC0EMEcHlPKnDrqOcb3I2R704Pm7j6BgAoEisON5Fy42NyOVStkGPch2y71bp/XXk5E5p3LedZrbvWgRNl1rr+By4aO6OoyNjZVtt5zeKHmLnVFMPmunH3MskUgE9+7eDYN4yOeRfv117E8k1LilvEZ9Rspx0ihE3kG9hn+hUAg+nw9tbW246667LGndACxpyrJO7tjYGOLxOEZGRjA8PKwcEPIE1Xw+j1AopJzb1dXVaG1txbJlyxSOZJ8lfm5V5/nYG390oUwSHV1xlSA3pS6Q2xmQSFRkMVw9pcvOY8p29QXJ/wltxTa4PW4UzWs546aBtlKb5T67zWk3sXLz6FBO6bBrzzAMnPKfwl8t/wBYBriN03guvxrNRavgXW5D2hlO7P4v910KteUE0B704AeRl1G8D/CaV/GV0oNoLVnz/KWngFE/epSPjhu99o7OZMqN227shUIB2WXLYAC4uGgRdm7bht7WVpiaJ0N/TleMyq0DfS7K4Vk+09nQgERHB4zRUbzw2c+q/ujvkH2RxHe+gup2n7qgwnobtGpLokoLezAYhGEYaG5uVgI4f49EIgiHwwiFQggEAhZvhGnORN4B9mHQDjhwu0CjizRc6ntSN4zYKcn8327f8xl+8n0Efb9LAUlGo+q8UedThmGg8VpxyLrRUaRbWubdyzrodEjHhR2ttBPCDcNAr6sXBzwH0PnwzDG7ntL38ZzrOTQXm8viyO4dNyrw6DiUQrzEo97XQ55D2LnhWh/xJr5SqEEb2srSGruizxJnOm6u56m+kXGVSiW0XKODbz34ILKBQFn+It+jfy+nKOm8sJz8I5/trKsDDAN9S5bgjfvvR19b25x0atk/nQ/pysp8/adyQ6U5k8lYeBH3qORdOk9yuVyIRCLqJNBQKIRwOIxoNIra2lrU1dUhFAqpdSKjJG5H8HbAAR30GiV29LacnEydSBbal/vXjt7ItvlHh+V89+v/y/6d8J7Am8aboJ/bVQRcLjfaS+2WtvS+y0/9ujRySJ2unByq95u/dQe68X/5fgF8AnAZF/Bsbj1azfmzFuz0SABznMASJL28UZ5lmjMBAgWjCNMAcgD+78/cjbsrmi3vI0gDml3/7aKndD3Cjo9LPOs0m9ey69Yh7/VisLYWv3z0UfQ0NwOCN8g1Wk6P0mk/nb2y77qcw3b0sScSCSQ8HsQAFI3ZiC45R/qJd6Tjcm7sZDx+6pFHsg5uIBCwGItklKrP58PChQvR0dEBAKruE8erZ1cwQkk6QZLJ5Jz5vRPwsTf+SGs4F4Kd9btccVn+b6f06oJHOUJJC105kAIlYA1BJzQXm/Fc7jlccZ3GmhMncP9YMyYWm+htm7+/sn0K+rohQOYE2o1fPkOY9k3jYMVBvJ95/9pN1yz0RjdajJbrCq86wdEJyHyMqxwTsSNQH7k+QtEsAQZQgImruIoWs2UOYZCF4mR/7XBjhyMd73IcdkKqTtRqr6VVHLv7bnS3tMAQDFVP+7B7l84o7PAon9OZko7/QqGAgsuFdF0demwMP9cD+Q4dP+WYNMHlciF7rbifnHtgbh0FPU+a/zO8n0cYR6NR5WViG+WMag44cLsgBQeuM3pFpfcfKE9H9L1TLpydoNNVCizcP7ojQ76rXDumaWJBfz/WHD8OE8AfvvAC/uHZZ9Hd0mI7bj3Me759JesN2Qmgeht9rj782PdjmIY5oxwYszynGdZoU7sx6UDaqt+j91vHmf4OnUd0oQs7XTtVHwtmAd1GN1pLrXOMIMS/7iG1o592fMQO7NaHHY5N00RsdBRT0egcw898472eElIO13xWrnsp+5imCXc2C8M0cXXVKvS1t8/ZC+XkinKKiB2+7fiSnZIl54U8WNZ3KBaL8Hg8SCQSlghV8iUK6YxW0lMsrtcPBxy4GSDPYcRnsVhEOBzG1NSUrZysrz95OpbcpxLIh/R9xHv1wufyObv+6unHU5hSdNNlAo9dAZpbn0WD2WK7P8rR+XI8rVy/y9EP0zThD/jRVduFF+IvoAQTcAGmWZzJvCi23pCsK+mYpCfl9CP5jOwfo2rs6NwC14IZm5kJeOBGZeRuC2+S75dFiGUAgx1tlrizS+Euh2eJFznOQDoNfz6PkytW4Oo1w0853muno9jNL8eh8wl5n9T3JD6KxSJK09PI+XzYu3UrrixYMKODadkAUnazM1CVW3tyTu1kPmmsldlIfIYpmcFgUBmNZBYFU7yqq6sRi8VUppFca7IP80UC3wzcsvHHMIw2AD8A0ICZ7f73pmn+P4ZhVAN4AcBCAF0AvmSaZtyY6fn/A+BJABkA3zJN8+j13kPDS6lUwtTUFIaGhtDY2Ijx8XGk0+nrCjK6sKVPsr4AgLk58Xab1QYfttdkG83FZny2q4hnXj+BEvpQOPyiEsT1TSffKz/l5pUW2hsRgAxjxvN6NHAUV3AF05lpbEx14Iz/MnIewAU3WgutKJlWJYNEhe+xO4WpHFGnsKUTKEm0dJxyjEUUcdl1GSgC7iJguNxoK7VZDD0SH1Jh063DegRQOUKkC+gS7zpIvIdGRwEAkxUVlj7ZMQeJGztiJvuvKyZ2QrEdkwIA9/Q0psXJEXb919+v17Ga71m7PgFWocCOGfMePqMzJz7v8XhU6GQoFFJMr1xqpQMO3CmgB5SRBUNDQ2htbcXg4CASiYRFkAPmj7KwozWSptjRmnLCrPzfLnpF70epVMKiq1fhKpVmCuYXi1jU3Y2upiZ1v10NBtlvKZjp9HG+Pkrh1DRNdBvdltRnowR4XB6LAK73Q/I6OwGtHG2ywxd5oe5A0efjjOfMtQ4CM7qCC23FNhRL1mflnOlzLPmbPga78c03Fh3nCn+GgUh/PyYbGix8WvZLv19vW/52PZpP0NM85P1+rbaUXYrKfDxxPpo+X5/s+mK3LuXeYv90+UQ/eabcHnfAgTsJsuZPLpfD6Ogo6urqMDo6qupRzSe3SgMmIxXs9B0pg8tC5uXorx3NkvtN0qfW6daZIvhmEV7TwP97Twk7P12BZKQ053k9hfJ6PE8fi75vdZ7a7+pHV7QL3e5u9MX70FhsRBxDKBgmDGNGl7DT83SjmZ2uYadz6SDHQz5rN0621xXoArLAp88DSyqegK+6Reli8nnZNvul40n2Qf5mN896pI3Od3X8RAYGAACjsZilDV2WsJMH7HAk14NdSpOu68g/9jM0NIR4TQ323X//zL02PECORfIwCbKfdnqXXRS3zDKxi/biaWmFQkFFnEoDEE9ac7lc6pRqpqLr9YzvpK5zO5E/BQD/xjTNo4ZhRAEcMQzjbQDfAvCOaZp/ZRjGvwfw7wH8vwD8PoAl1/42A/jba5/zAk9yYChVXV0dkskkMpkMgJlJYS5cuUWt55TLHH87wcROKJdCtn6/LgzqG0E+X9/VNdMnzAri3S0t8wqUdptIEl6OVV90khi63W70uHrwE/9PZp6HgadyT+FbpwtoPn0Zf/X1bYiU2lVUjS74E/TaMHZGEQly08j8SDscyu8A8KbnTYyWRvHc1TosH0jj8oYvoKXUAhOmZbPZbQZ5XVemridk633XhUfd22wYBoLXioFOXDslTZ8/qQTJa3Y4kL/phFf2Q+JKts973fk8pkMhW0Zl979df+36pz9vB/p4KJzwujTg6GOR47A7ApK/SSOknSHMAQduBUzTRDabhWmaihk3Nzcrww/v0QuwzyfcSGFcF2T0NSz3o07j+LxdxIvsvzSWXG5rg2kYgGmi6Hajs82abmzX93KCkU4r7Ppgd59hGGg32+HBjGLgLppYkwxhQd0n0Wq2woR9BCuvyXbm4zt2PNROkdfHKHneGnMNTpunUTILcAF4vPRJtJgtynClR4DwvXoaoE7D7YRJiS872qXPt2zT5XIhMjCAnlWrVPu6PDIfPSw3Z/Phtdx3vjd0zWiauXYKinxPuXHavVfHXbm509dZOeVBb0vvl51iJHmO3Tv18TvgwO0AHQ6Mem5ubkZ/f786Ah6w0ikd5El58k9G8+hyrt1vkufodITvZnSCzruaik34YuaL6PH04IleL+7r3Y330mlMilpz5fYb3yPvK3ePHX2T9KHP1YcXwy/O9KsIbC1sxQPFB/DYju/h9Q4XRpc+geZSM0yYc/Y5QeLczmGg91OniXYRO/o4+HyXtwu7s7sBE9jZATSmQ6jR2pC8YD7ebadLltMh7fQUgoywl/yzc/wE/uM2oK8ui3AZ/PP7fGUZpC5gF7FUTl/Tx+JyuRAaGkJPVdWc9uVnubbnmxepC9m1J+/ndTu5UP4RnywxQ4cDSw3Y8Vb5qV+/VbDPh7kBME1zwLwWuWOaZhLAWQAtAJ4G8E/XbvsnAJ+99v/TAH5gzsAHAKoMw2i63nsY/kjl0efzIZVKWWqS0AM73yLTBXBev9Z/pWjaeaukglpOwGc/9LBL+Q63243+JUsAXDu5yu3GlfZ2C/HR+yjb53V5j1yYdoKv3Fi9Ru+s59UEkq4kCvFjeHUZcN+lAtrQNofJyH653W4Erp0MJvGtC72y39LwVm7zyPcRPnJ9hOOu4wCAl1tH0B0uoHFk1FZgtSPcOj6vJwyXM0rZzYHdeyoTCZQMA5ORiOV3uXbKtV+uTa55ea8+L3o/5fjeq03jP68ZRg96bHE+H7PiZzkc2+2DcsI150Eftx0u7ISDcsxJvvdOhUI64AAAS8oVMJvKKPeyND7KdSkN7uWE9nICoWxLrutySqikzfJ3aWjtaW1Fz6JFyFdW4v/73HMzaaDa87INne5J/lpO4NFpuQ6GYaCl1IJP5D+BulIdTAM4XpXBa9Ovoc/VN4dGEHhNHvig09NytEUX7thfO+eOxH1zsRlfKXwF/+FENX62dzHWl9Zb2ivHc/W2yqUby77IZ8rRNl0J4f+BfB7BiQnUX7yIjceO2bZxowLi9Wi7/E2uG/16e08PACCaTM5RisqtCzuZg1AuOthOdpD1svT25uNFN/p7ORnHAQduF0xztryEXFPUSQh2dEf+MWqA+8EuSn8+YwF5Tjm6Jp+VTnfJb5pLzdgyvQWFcBj/cRswbPRa+Ifd/tH30XyypLxXRqqomjHuEt6teBclXHOmwIAXXqSrU3izIY5liRq0lFrmGMmkvuJyzdQFI7+hos50Hllbqdx4yumKdrrKXu/ea1+ArBs4HLk8R3eSvFjy7XK6gd11OweEHZ2WtFTqkAOeAXy35lX8h0eB/1W/A32uvjljlOO6EV7Cd8jrdoYaiV8LlErYExnAf9mYRA96yt+njbEcX+IJkvxNP4HZTi/S94FuzJIZFbQx6Ljip75fZQ2g+cZ2s3BHav4YhrEQwHoABwE0mKY5cO2nQcykhQEzhqEe8VjvtWsDmAeIKIY/2aV8SCJ0PQOQ3AS6RZPpXvrm0ZVRCdKwoBcw5qeF4D7wAPDDH+L8okV457770NPSAkM8I/uvC49y08v+6FZpfXHye2uxFR7TgyKKcMGFVOYjPPd7MxErwcIH+D/OFjHZ8bAtHrlYeTy3xKOdIFuuv/K6DrLPccTB3OG8G/jHu/MIFN7Anw0D7pq1ljnV50j+JnEynxVaV2rKER/9f76rtqsL034/WgYGZvJgRT90Aq23oXv2ebyfZMIStxybXf0BfvYavXjyM3GYBuA2f4ivFr+GVrN1znqUc6TPwXwMeT7Gpq8FO7yXI8I6vuzaBWZTM+V7HHDgToBhGOrkHxnpqPMBeQynDuWMITKEXN8Xkk7ptJv/64qApB/l9i0AeCorkSgUFG3SFWXZZ70fOo3guyUNkkYRnb6z3T5XH3b6dqJkyNDwmZNgeOplObzpBZUphPNo1XLCnF0/9HHa0aY2tOHfHwmhr74KB23miDiQ+Ld7vx0+7EDOsWzDjgbz2v0HDgAAKoeH8dk33gAAHF6//obal8D2KGPZGdLl2tJlFK7l1p4eVH70Fv7jNmDb0VfRVlGhakvZ8U8+Xw7s+Ek5/Og8g9d0xUEqxvo75BrXeRHbIY7mU1AccOBmgbRM0lD9FGOuW93pwGeopOoGIukAlVGLkqfZlWbgO6SyymvSKCX5Bft0wnMC7zS+A7Me8GIPvjDVgOZSs4Wf2kE5R7YcS6lUUulq8rd+dz8ueS/havAqBguDMExjJksAM5E1ezN7gS2Ar3QeX5zuVaeP6XyMIOu4GcbMqVJTU1Pqfn7q+LObW13GlnDIfwh9hT4ov7wBnHSdxOrS3ZbToHV6qOt4Ot/T5WqdFko6ps8BQXeAnfGeQdE0AQMomUX0uHvQWmi11W/K8XLZdx5xbneqmLzPTp/lfb1Dv8T/50tFwOiFC8+jwWzAutI63GPeM0cXluPTZSY9e8COT82HK37X+yf3nh0u5LPl9J75+OStwm23aBhGBMA/A/hXpmkm5G/mDAbKm/7s2/sjwzAOG4ZxmHly3OyA/ZFwOsHQ+qAIlVzs+gQbhoHwtWNTdYWcv9sJGNcLP5cLoVQqYera/13Nzehqaiq7AeXil323EzQlwdefZxuGYaC52IwNhQ2IuCIoGSUcqRi5djOQcwFj0xctfbbrm+4VaLhWb0COWR+/3h8dL3bPhRC6dmGmf6YB5F3ASPacLW7l/Ohjt2Ne5XBtpyyUUxJ4b2tPDxqOHIEvm8V3fvxjLOjvt7Spj1H23W7sBLvULrvn7NbEpez7MI0Z3BWNEvYWX0ev0Tun73qf7NLo7Nab3XyWa0MKKOWekzCf4iP74IADdwp0viOdDtd+n8Nz9HxsCXZ8h9f1/RONRuesaX3P6YIfMJc+8Dnds2SaJpDNAsHgnLY1HNgKGXpf+G7d+FxOqOHz3a5uS+TpNccsAmZgDs2wS6uSv9fW1t4Qb7Hriz5mXtfb8abTSAllX7Yh68XYta3T6v8/e/8ZLct1nQmCX0S665631z+8B+8IggQEECRIQqKRKBXFKREEjaRq2a6uWl09PWV79Y8xXV3da9aaGpWZlpdKKtFIRUl0ohMJEgQJGsGQcATw3HXPAc9fl3kzI+ZH5o77xZf7RN5nOPO4KvdauTIz4sQ5++xzzt7f3scE94PQyyksL159HLL7AHDD4fbbyIzr2374Q7fOaot66W5PTnyf+bX/raSFx9NH8fZfTvA/PQS86yMtLJ/9Qa6/eHjK8vVAPfOjfKqcVV58T8sq6v+hfswOAveVHwUo79N/HaQ2xwLZutqbfxcFk72+642BOI6zMxQ1mBDSQR5x4MP0WpqmmI/n8eWBLyNBgjQGGkjwaO1RHC8fz5XJfCkfIT2tkx9Gx0rH8PHax/GdyndwonkCd63d1bY1HQw8g5lORsBanOC50nM5GdnWm5Dd4YAT60i28d7zvehQdAhfTr5MFe180gTnLvwgZzNC2JxlEdJvqhND90P6GmjvHHkqfRJ2Fl65leKek4PBunmrjJisrFar1TXR7bW/8h5FEdZefQr/efTpTG4JEhyPjuPzpc/jqcg/UljtmP03/W7br0L8sr1S+2TP6krq0ApwTmPp/n9lU66olCiKKmgHfv4sTdO/7Fw+GXW2c3W+T3WuLwCYpMcnOtdylKbp76Zp+sY0Td9o+0o5Es0NlVXCWVni/QbynVqVTb1ez1YR2XVWcPbxwDaXw5F27qxJkmDu+HGkcYxKAdDT7WfqDGvEXTsytU+u3i9XXsZ3Kt/BxfQiojTCO0503viSAkkMLG3J78LzQK/Vz/I8efJkFyD0FIt33e6xITCeV6KVTiXa/EUJUE2AHbUbg3l7AT4tI2TIVF6aP8tRy3jdD36QsVputfD6Z5/tKldlyo4D30+SBI1GI5sF0npwPsp3mqZI0gQvDryI7w0doooBM7XT+Gj5o1kAKNRGmr/33UuOVg+TlSlEXWnHM1Aqe69PMPFZQH3q05WS2h3r36FJh1CgpJNX9q1jxevny8vLXbO8nNaAKV/jvD3A2QXkl5ZQciY3VPcoIPLAsPHRC0CqrZ5KplBCaX06KAJSpPhq9as4VjqW46NXgPfkyZPZaiAPFPLz+h1yMvR3aXERq52za0J60HuO28Vr79AznEZtu5aXJAleuv769v/Oc8/ddJMrj9A3k+npkJ3uRXPRHP503wxaJQBxezLpsX1+EJ/roDZQ23Ejtoaxh2ef2bHg6x5foeX1IT4uR1Z96hPg+zppWnyMA28lNvKCRDx2FEPZPVt14WF3HSeeDg3Zv4Xy+ioWm7w9UTqBTwx8AvPRfFcgy7MxGx37ln4unkMr6tjINMJMZWY9Kt7hI0rb3ymA58rPZVjYq7fmnyQJzpw5k9MbHMTXLVqebVFdNx/N48tlCvyg7eeUWm1f5+1H/R0VWVoJmNk1xdOqU71roQkkrsO342/nVnL8xBzwC393sktWXmDEK9N8HQ62eHbOs4/2/5XWk2jGyPzEdoL213ej77qyUz/Hw2mGudgX9yYwvPzUdw9hmVBaT2YqN7t3JXTZwZ+ozeUfAHgxTdP/F936NIBf7vz+ZQCfouu/FLXpPgDn0/XtYUGyinv7wlkhhpxAbVyvISy/0Kn3do07paXhvZ9cJitqvreyuopWpYKKLGPnZ40semj52DfXhwNNWl8OEkVRhHPxOaxPvKZ4ZVcFcUc5A8CX968iiv0opOWvS9cM4BqfKjP7DoEqVW5W9lTSPhw0SiPUWsBHfjiEf3Ty3ajsfH2XPOzbPqH/XE6vgcNK1Nt7q9d75aH142vMK/PnOQ6eIS+VSliIFvCF0hfw+7Xfxyebn8Se1lZUW2i3d6eNW2hhJpoprLPx4wWtPFKjovdYqXmrBUJgXw961mc8Bd6nPl0tYiAO5HWY9UkPiDPx8x4A461TOnuqICMURODf/Jzq29LaGlrVapcdU5umOon59Owm1zVkN+17rDWGRxqPYF9rX6aTTC/Nxes7wr1gsJangWMPsPNzKntPDzOVm8322xIHB7sAvWcLOG+VhQLykK732kZtD/P+d294AwDgtV278Nc//dN48u67u+qm8gvx7OnZEEVRlL1W2nifi2hHf9pOs2XzHV35aZ1DjmyRY6K/Q22pToSRt93SntOtHsqXYiqmvg3q05VQyLlUHB3yN4C83rZnPFxnE4z8vOJV9ZuYPMxl42qyOYkyynlnnPR8KKCtPPJ1z5byWJxMJlFO2/5CjBjncZ6YbX/9xNJYxk8LLczEPhbWVZqq8xmvq59RpBMYN7wSvYI/rfwpTuN0Lv3f+yHwf38U+MJ/LqG29fbsOc8OKCme7kWqa/We2qhj0bFcQK2+fjROl4y0DM1T/daQL+XZTQCIShGe3Pwk/nriFCIAsbPgqhk1XXvgYQCv/joOVGaat9pu7TNen+aJvV6rfjx7eSV0JTk9AOAXATwURdEznc/PAPjfALwjiqJXAPxU5z8A/A2AwwAOAvg9AP/dRgqx5ZAemWB51lSBYMiJVmBraYsOjuWOYopHT8vnfHTmL+tIcYx9CwuYPnYMHikQ5LpwPmosuK5ep59Ym8gCKiWUcGPrRtRaQClppz8SH8HnRz6Po9FRPFF6on1AtBN55DxZEXudm+ukcrJ6VKtVVDuOiTlC48k4Prj2Qbw1eSs+/+lt+Kcv3YDKrtfnZBsyTl651mYhYxYiNgLc1nzvmTvuAKIIKYBmqYSnbr89V6bmxbxxWzKx0mDeOR/7zCaz+OP4j/Fk/CROJafwUPwQ/kHpH+Gvvn4dfuX7ZZTSOGvzqWSqcDwoeYoy1D+Vd60DkxcU8+RUtJ3Rfnvnl/SpT1dCZndC/d36Nc/CFI0H/u31e7Y7lo8GS3sFT0NlAu1gRtqZ6eX8WPd4+RtvvWa++DqDcuVprDWGN6+9CdUEWWC6hPZrd0O8s1zUzoZWqnggVG2XvXbVK6e2ugoAqNPbEj3yAD+vFrOyvWAU67iiVaueXY+iCCudbXw/vOuurrN+PH3ttQd/e3JjmfCHX8QBANPpdAdbAJUE+NUz92fnVTBxULXI5hTZZ7UrjBsUdBfVuagcnkDqxUef+nQ1yMZUrbPaUPsq4E82GynWYmebxwxjTm91xkZ1qpL5O/bGrzvX7kSFJiBLKGG8Od61o8Hytjx4DGv+3u8oijCRTuAD9Q/gTa03YVt5G2LE6xOfAO5p3IPfPHY9Bm3OPQIO1g7iUOkQvlP5Do6XutchePLT8kO60rM/aZpicHAQpVKp6+U7Jp9/eHQM//DZLXjuLR/EzNiYa3c9CvUHxS+hXSLKOx9cHMcxvhF/A4vxYk6m/+DpCE923jTJNk19UpVJER7S+ujq0CRJUB+o478M/xd8YeULuH/5Bnz+P0f4X74K/LNv5utyMbroHnXB3+r/A/kXK4XsKNv0ooCr+jV8XycWPSxh5fwo7MxlH/icpunjyMUBc/STTvoUwD+61HK08+usjV0DugcAg2h+xvKI4zg71JMDP9bo3t58r1GTJMk5ApxWB8LE3BzKKyuYWlnBb/7FX+B3H34Ys+Pjufx0dU+oc9pgYEeErysIHUvG8PDKw5gvz2MymcREOoH/+WNfwSfeug/nx+7Ha4Ov4QutL+DZwWezYMEjjUcw1hoLOuD2n3nRemu99NlKpYJ6vd4FeMfSMUxiEm88/QrmtvnOEcuZZ4M1rQ0uVoAbAZiWh0aph4aGsLy8jDRNMT85idfe8AZseu45/PHDD2NubAyQAJfKTWWhfUsDVUW8zsQzmSGJ0gjJWvvZmwaux7//8im0bv8FzEQzmE6nMZ6OA1G3AmSetL+xYvcMmsrMxoPWKwRELB3XNTSmmTbi9PapT5dD/OpNI7NFPF4AP9htpGNcx7n991ZGesDJK4/vh8ZEeW0NjVotl06BDNswvmZ882wdO/6WVwic27N2fbq1B1/7M+D/+b7rcHjzZtzeuh3jybirK0N190BV6L/qL9ZHNrGk5VnwZ63ziuJQ/t4EDH9sO4fKhPV/kT3iNi6VShgZGcHi4mK7DeIYzaEhDK2uuvqZn+fyQv2EnwnZ+5CTMYUpfKT1EZxefh7/6s+/hzPvuAnf2tw90xqqX5ETFcJd2o95bDJ5znKvFXshUltcxH+f+nQppDsP1KEOBRVYV4ewIutxtTuMnblcplD/5nw57WhrFPfPA294/Af4kzuBJIqwafdDKO2YRBp1n7fK40h1VZGdMUrTFFE5wisDr+B08zQeXn0YZ9IzeLnyMm5s3og71+7EA8efwme/N4D/28P3ojZQw6OtR/HJ2iezwMsHVj+AsdZYl21kOx/Cpewzan04jyRpnylzA27A99LvZS/fubN1J25PbsddzeexPHyi7RM6svdsRtcq387LULRdOC+vPzHf7Eu9MvAKHm893v4fxXjd2QH86hN1pLd8ELNjYxmf3Je0j+obs7RttX4sV6P5aB7PVJ7BS8lLSOoJ3tt6L26v3o7ZtyzgX/zJn+CFO+7Ap5IVvFx6GYjaec1gBhNYn4TguobGkefTeOQFjuwZz74oDjGflJ/RfIps0ZXSVXnb14+SDHB7ryw08ox7CDx6v1X5hZRLLz6Z+G1EzNOB+XYkMgJQarVwYG4OR0dHc9FGBTHaKU3JaLBEf2swJk3br2GcaHYGQwQ8MJuitnAdPrlnDONL4zheO47vx99HGqVopS3MRrPYm+zN8aUKUdtBHYgQQDJlaoEfD+hFUYSkXEZZIu1e4EQVmy61YyPpzbQzz9pumkej0cjuJUmCM7t2YQuAuYkJRJSOZaZlqCMWcgZYhl5fn0qmUC6V0UpbKKGE6XQaaZriXK2G/cvLmGyOYjweb+eD7rqpIem1B5WfVVCujg6Dcq2jlceGVts3pHyLlHKf+nSlpOBJ+7nXZ/m36kCgGyiHwLxRyOktAuYadLXyKs0mVumMB9XfxhsDRw+w2WQJ6y1+FTxPQngURRGqzSbunwf+L6fuxacHp936ejYjJJsi8p63Z1c7AR5PzgO28mdgoCsfzUuDZvbtOVuajzeDrHlzupWVlVya+vAwNtMKNU8+alc9GW0kiFGkh9M0xXg6jjtWh3D//Pfwjc7b2Jh6ObDKu9f3lXjCQid9QvLwsJJXjtcmHq9eeX3q06WSbQHRVRfcR/UIA115WrQqiPsq62wjxn4eeVjVePJWjV4/P4/754A3zQGtCPjiAyv4+pvCqzyMB+98O66jp0OPl4/jY+WPIWkmiNMYcSvGHa07cMfaHVn64XPncMvSdtyzeg9KayXMD83jRbwIREArbeG50nMYbY5mZSk+Vx74mk528G9+ZrUTqJ+IJvCh5ocwG81iKp3CeDKO+Wgev3XTKbypuZIrw7MpWn/Wf7poQevg+bcqU8YqJ+ongBKygMqDjQP4R999Fv/zm3fnntPJeJaf16fYP2WZM9m1mWim3b5pgggRfr7587g1vRVpmuLo2Bgu7tqFahThvuQ+HIoPIUHS3umQTuXy0bbjlag2nowvlaMexM51Up/dw0M8NpkHXVig7fKjsis/FsEf7hRx3H7Lii7J9xQFf9vv0Ins9rzu8SwCB5yvV76ChzRNcfbGGxE99hgSAK1SCYcmJ3P5cHp2pENAkvcMhgYOByFy8my1ECcJmgQwb2/cjudrz6OFVrYc3wOHvMrIyvIMAz/jKQBrk9C9SqXS3q5Qr3fVsZdCs/s8Yx/iU2XL/Oq1KIqywzHt2pkowk2rqygnCdYC7cD/Qw6SB8JDwNz+T6QT+MXkF3EER9qre5JxpEhxcWgIUZpieHkZFzqHvXpBO86PeStqN31O5ePNlngARUG71i10vRdPferT5ZKNAe67Iedcr9l1uxeyNQoWvXRcRki3apkcmOFnK60WVjt6S8vn583xYLvCPOpY9uwC19NmQlnf2Xl3qxRcKgL6XB+1OVwW/w6l6SVHe2ZL5/fpzuqvIgDGdkDLZLurOpKf6xWo8MpJkgTLg4PYTDLmPLy6M7Fci+QSsoPMl/1vdLbgV+kw7iI7x7yqw6PyLLLPCuq1LLU7vSYUQ9S3O336UZFnc7jP6koBwB+HOi7st+kgDfwUYWijkI4IOfBpmuLUrbcC3/gGUnT7Okaan66csTSm3xhfsj7kN0mmSDFXnsNoazQ3vodOn8bJzZuzcqpr1bYHHNEH6NIjIZ/O0nIA2uTB+t7TS0mSYDwax1ja3lXxdPQ0vlT9EpIbEwzsB96fHMd4ur4a1rPtLJciuTK+4GdDK6w4DwDYl+7Dt/Ct9cnltXF88pZn8bfx51CvDOL21u2YxGSuzUIrzVSO3jVPx75QegGJvR40Bc7ibC7dxa1bsfncOYy1xvBhfBiz0SymMY0JTHTZBg9TeIGZEM5TmXmfUHto2Rbg7YUvfhR258ci+KOAku/xq9I8YiCvSlEb34s4F3VcTruRdFEUoXTgAADguRtuwGP33IMZ2SJk38yLp0iYb5MFp9HVFvabjUfZABt1xol0Ao80HsFsPIupZArj6TjSKD87zGWwnJUv++9FxT3gyTIw5T48PIykUkFpedktn+ungFd55vyVF77PBlivqyGw77OdPEbW1nC2Wu3KQw2a5h9qR+Xb6wcAMIGJdlulKaK4fX11yxY8MQF8K/4WtsW3YhLd52p427NCB3d7pMbPxqPxxfX0VsJ5iq0IkHtOQZ/6dLUptOIU6Has7VoIXPDH0vJzIePuObkMenul57FSbjZxgVYrar7Gs4FvtWe8pFvHuJfeZMhkNqHS2WrVoAODQ3ZVKSQnr856v0hfqI0Y7gQvluntn5xW9ZAne/vv2b+QTSpKp3kBwMVKBbs6b4trNBpduGCj8g2BXU1j3x5/cRxjrXOGUkX6mpdXkTOwETvogXCP0jTNbJpng3V8almcj4d7+tSnq0G88gfotg0hXMq/Q/1R346q+W6EdMzyeDAnlrcLte69F40//mOc2LYNn3noIcxP5M8AU93k6STWA7rCkrH6dDqNJ/BEFqCYbE7mnouiCINnzuDCnj3Z83ckd+A5PIcWOsd9VGLEje7XzjOvlp/Hi93jtvD0vNZ1IV7AFytfzF5NXy8Bc/EcppL8qhWWlbezRGXLfOguCP3mNuR7ADCJSXy49WHMYAaTrUm8Wj2H//FhAHgJAPBs6Vl8uPnhzL/g1TNaV203Tx6eHr8zuRM/iH6QreiZxnQm7zRNsbhjB+bPPIMnyk9gOp3GA+kDufxCu4N0QkB9NpYF+84he9nLrvNzXr/xxqKnB64GXfPBnzTNvwHFAzcK0ENg3QPhqjAVfOhSSAUkHHTwgDnzGkURNi0uAgC+e8cdmJuYcE/c1vpZ3tz5WBbMhz3H22n4GebdtlI1xVkZT8Yxnoy7svTysXJ5htM6rA5sBaFeGVznixcvIq7Xsf3sWUzMzbW3VUmdQ0qVefPazwJ+yhNHY717Hu8XO6B3U6OB8wMDua0TXG/PUbBr+upI/W3puU/qygRun28Nv4Z/898AzfjvEKdP4l3Ju3F3endQ7tpOGyGvfF3VxHlxsNauh5xsM3KcR0jR8rWQE9CnPm2ErA+zLrcVpzx27Q2HXl/3rqnj6U1KMIUC2kqlUik3Y9oFMACU19bQqlS6xivr2hCP/N/S8NhkwO85I+q02KqQlaj7vAKmkFPAfLKNDuVzORRduAAAaG3a5PJSBOpZTyufWgduXw8Y632t33KthvKFC7nV0Fa2x2eor2neRXqUbSr3uTRNs+DPps5Y8caD10/UOSlqwyJnQfFc0djhQKfKwA5m9erO7dQP/vTpahHbHNOvbHPsWhFO8wISHubkPHS7jpE3RrUMy1PzjeMYR1YP4v/xpjp21nZgYWwMMda3iClu17oY/70mD43n8WS8PWkdzWIymcRoOpo74qDSbKK2uIitr72G6WPHMDcxgbHWGD7U+BBm41mcqp3CM8kzaNVaeF3rdZn/Y+VoHbWt+MN43uqg+Jy/Z6PZdt4RgBQopcAbjw8g3d29ItQj9vXUL9R2LPK/ip4ZT8cxjvaOgic3HUKUAmmnaex4kMl0sqvt2E/RNg/VR+1GmrYXJXyk9ZHs7NKJdAIp1tvk8xOr+Kc/tYwk+jrKKOPDrQ9nLxzQttF28MoNkT4fSuONM2A9wOSNrXK5HGw/fuZq2Zyr996wHyHZFpsoilCtVnNGmQWjgw/wZ2m5c3pKkT8AMpDPr13XlS2s9BjM6CzR8MWLAIClTZtyysML1ngd1IhP/efnvcAMf7NM7D0n9bR76ZsFm4q25FjZvFUAQC7w4bWPp2RU8VseYzMz2HL4MLaeP49f+ehHMTmfP73dWzbnyYX/W7t4g4gNjvLEhlfbarWzraraOYyTyyoyqMwj9y/lVxWnLgFVngDg6eR5NGMAEZBEKb5Y+gLmo/lcX7Z6ekEtr9+FKNRfmfci5aVtwn0L6N5OsrKykgseXQqvferTRogPfGZ9yDo+FAz2Jgy8QKnqL9WTCsxCY11npXjMVSzI31nFogEJDsiqHWX+Qh+1XSwLtSsAMNT5veSMWw0+qY7TvE3Woee1rp7t8eRdXVpqf+/a1ZM/bSO+x2V7dTD5s97nfmLyD+GDlaEhlC9ezLU34xLPdoT6GNfP06eaPwf2suvlMlqlEqoUiLJ8eQwpP56NLALXRVvcOA/NX8eiprff9ip7zediB7/1qU9Xm+yNstZXbXuW4vLQuOAjLTwcxfbK00+c3u55k3L2vJLlc6x0DJ+vfh7/+tX/Df/6QeBf3PMijpWOZXwxP4xFVY/qWSnMu+XF/s1Yawz3Ne/LXh7Aed5+9CgA4MCRI/jNv/iL7E3Lo61R3Nu4F3et3IUIEZ4tP4uPVz+OhXghp4c8f8jzPYz/0ISI3ef2mUb+TYn/8XPAv/7jv8Xk/HyXXmf5cHt5PjD3A24f9TdY/tw2XB7joPHqTajI2zptJQ77PiwjzYd5Z948O2XXJ9IJPJA8kAvqWH5Pb68jiQBEQAstzEQzXfVV8uyfR5ZG+2OvZznIqWk928x14mfOnTuX83WuFv1YBH909pG3RKliYIVgyyg1QqvgSjuclcODX397kWslr3NsWl4GAFwYHnbBqA0+LstLw4ObB2ZRh9R6bqrVAAAN+MvL1XFnxcDy4+eA7kPpjFghMh8e+LTf+2ZmgDTNDsi+bnY2y6vXXkiVG8tUgw0KTMvlcjA46P2vd4I/mzrL3UN8eOQF5lR5e/3AosUarLI6/v0jQyibko4AoL03WstVQOGB6VCdikB3L/L6k+apq8dUEfepTz8K8oKRdtgxg1Yjz7DrdR2fbEcYJOnY94IvHBTgtB4/dsZOIwD8i4BRSDYhcLmR/IY7fCwHdJuWo4CLA1ahcjxgZeQF7VTnDdTrSOMY0aZNbvDFylL8wflZGvsf4pfJZvp72XCjlcFBlC9cQLUza+iVrcQ2xvuEyuU+F3IQoihCs1pFurjoyqdX23h19QJD+t9LWzQGe5VpgV+V6draWm51c6/8+tSnjZLZHOtbXqDBVgeoE2hBI12VE3LimYr8mRDu1eft3lw6h08MfALPlp/NtjE14wTz5XlXj2sdmUe2bew7aB25rool7drNnWBPjLYfsX9uLlfu8dJx2EKhFlqYL8138ddLJxvfoTNM1RbY/4m0ffjzPzhyHb72R8BvPLXu62ibqXxYZrqSmNN7wUD75gUVaeqfi8t1ny5N428+sx2/9FwND168Eb+U/BImMZm1aS+dWOTfcNBIz7fS/sH0puU9GGiiE5BKkSwdw0K8UPiMRxu1Scw7X1dfmdN5kwlW3yRJ0Gg0uoK3ALKJ7qttc67p4I9V1g6ptGvaGTzApArSAwXa8RTY8WDVAespSlWifM142X7oEBIAO86d21BZGiCygJYOaK2XOgtclnVC2/bVkgCOPsNKhh0bjWxqBJn54rbg4F0IzBm4nL3uOiCKskPjjkxNddVZB4SVp0osBIo9Bav31cnSNBc7b9LZ6Si/0GANKUF9hq+VOwdq2rPe2Qj2fevE/fiPn2vPJsQJUEpL2Jfu6+Ldcxx7KUHAX25qz3OeOttUBEwUIPDSWeZXnZGN8NunPl0K2XZEwLc7ReCrKCjC46MIVHvXdSyEbBZTuRP8qcdx1zi1Mjais0IgNKSL1RaaLG3bV6NSKQxasdw4T92Sp/x5OknThWyj0dDaGppDQ1hcXu7Sa72CLEXYQ+uqPOoW96J2SdMUi7UaoiTB5JYtLv4ooiLMo+kYuBpfOuFmzyeDg2h08I321ZDMiuroYb9LAcLeJFsRD+bA6FhTfrR+ferTlRCflQKE+2do4ov1kqcHinStd3aq1897+U5z5bnsDB0AiDq4c7I12RXMYR3J/9mmeoEL/q2YUm2PjeXTe/e2y4mizI/g+k20JlBCCVEaZW+JUj2ucuEy2eZwvkU6Su8d3lXDn7wO+NZEt6/jYQqur/JXpNuUf11MofpSZTx69Cje/uw5/PEn6/jyvzuM++a6dXrIvnK7qSzs29pMfU7Pv4iiCAvRAg6XZvFbnwfumwfSGPjGppfxp9GfYjbtnuzuNS68NCYHS6/jwKtfaFI7hOl0otvzs72Jq8ula/rMHxMyB38UGLADrIOR03CDmTC1U+mhSjz4dUBrA2wk0DR97Bimvv51RAB+7c//HL/78MOYHR/vyk9fMWf1UWffk5WR8seKyQBm3AHhTedcGquT1xk5LfPjDa5QQIB5VoXNinTpzjtR37oVZ6pVfPpd78LcxETXih89XIyjpwriVH7MO58BoNH7ENi0/0udVVTbC5yfjVKRYjf+dRWVyrFarSK94Qb8xv8BlDcfwKfv3Iytm+/EWDqGVpo/64DLLFpRo+PKfrOS461/fN/uKb88DnnPK/dBr/4hw9ynPl0NsuAxkJ8tUx1cBMItH+vfuixf9YmOYW9lo/b5jTi/5c4By2vy6nYFI6r/dbwDcEEK6yS9z3k1O/bGgj9rFMhWQOf9VttspG2hkxJevYrqHUURtgBoDg/j/Pnz7kyzYgNPVrZSzHjy8mAbxfrTyICw2lb7v9x5Ff2echnPB8Blr2tq21QW3J42JniGl5+t1WrA0BDWzp/PcJvhG0vnBYS0DfS+8qj2wQPEVqa1gwfCbXxq4LbZbLqrmnW8X45971OfPPJWjKqe4DNzgG6MyX1aMVYvf8fbShnyO0L+zmRzEuVqGa20hTJi/OqTLVQn3o2BLeNooeXiRy2T681p9Fw7Llt1KNc9jmOc370bAPDd170OT952G2bHxtov+Orkk50ZFM9iOpnGWDqGJM3X0cpnGXi4WeXqTVzy//loHn9a/lOkm1J8/Y3AH70e+Ccn34HKrgmkgplV5p5eCvlrKkMvL20fxiH2f9/Ro4iSBF+5DviLW5uYr3wRO5Kfyr1QRu1jqEwvvZZn971rT8dP44vlLyKZSjA4BnzkGeDbE0Aatc8imsEMpjCVK8swirdFkvliG6e+Lvshltb8TLY5nD/HHSyd9hUmy5+PH7ia9uaaDv4AbYGtdcArX+OGCC2/B/zgj+XhrQxR5cj3mDRAY2V7g9to/9wcoiTJtjDtn53F0dHRrCwtQwMWCn48QBgCcjybZfdGOgGLNaqPF+FnxarleWktTZGiVweC5cXGZtu2bYhWV3Fk//62rOiAZk+BcBBIlbHmHWor7lvczkXbzFYrFbTiGCOdN65wuhI5XTzwPSPG8lXeNIBi+akMAKBarSLujJvW2E/gtpF9QIL112EGlInXp5hPU3DMkxpFu6dyNqVbKpUycG3X1dBwfVWeANylqX3q09WiVquVOa/WN63PcZ818nSRpysUcISAtT7vgQ7VHaGgia38WXUCIB7vnK+WZ/owpLv4vuZlshzp6I96QaBIn/H45HoyCAuB2SJSeYw0m1jtHNzvlclpWVcZD3EcZ/2FeSpyGLy6Mij27KhNOmx1gu5q/9QJUVmxPLXdPTvj9aVyuYx0YACl1dUcz177Wr4cPAyB217tp/wx72w3dfLEq4uNda9cHZceDuxTny6HkiTJAuRGdt4p73Lw9ICNWQ3y8DW1K/zN/VixH9s849Pus8MLAHuTvfiF5V/Ascox/OOjwPs/9xj+8H1V/HBzeJJD9bT6HKyTLPilzrM9z9iay9nUWZn/7dtvx8LevUg7b1XjNHuae7A73d3WE3E+WB8K3nu/tZ724RU0bLeOxkezNyojAtZi4Du7lvATHfxuddYAD+cTRe3zcOv1epdsi2zjRlanWFrL6+DEBNL9wLt/0VIcRwkfxQcbH8zO49G81A9N0zQ3mabbxXjyjf0LtocL8QK+UPpCtr1wtQSc3rEdlfQ8mp23gk0lU0jjfB+zMaXkjQuvTfUZti/cdxkzlcvlnO+mY5Tlq89zG3LQ6krpxyb44wmAAxpAOOIZArrayJ5yDDnHWl7IYWc6NDGBNI6BJEGrVMKhycmu/BkEsdJVJedRiFcFkEBboQx33szB276MGCwB3YeVhspXx4QdJ2/rGAdZGJxZefWVFVRXV7FSq+We8RSuLhe1a6w4PRCp+TD/pnhbTtApB47TFKuDg6guLnaVyWlNtl4bafmqWFiWCm6Vt+XlZaAzs96qVt1+xt/MEzshml7TeG2t9eH03FZWbhRFXdsFGbR7bcbR8F6OQZ/6dKmkkw6qVwy86BZFJW8sKSjja72cSc/OcB7KZxRFKNlrtwcHu4CgB2A1wMz5e+Xp85ynFzTY/dprAIBdr76KM5s350A85xUCY0zetmhP3mxPQ7aAbU95aQnNoSG3/h4oVL4VyHqy02eV2G5rXezbVv4MdM4StLw8OWheHBTy+PPsS4h/K3d5eRmNahWb4Ns8C4opUNY2L5KLysFLp9fV/hS1oabldLp6T2epi/BRn/pURJ5fw/rEbI6Hn+151u92394G6fk2rGM87BzykUxPevZjrDWGN81H+Pt//ucAgI985jP4nfe/H7Pj4136hHWQ5snlAvmXGvTSEzzu4zhGtXO9SROx6hcpDvVkxTzpdaA7UMH6TdvanptKplBKS2hFLSAFygkwvpbfEcI6SfO0ax5eYeL/nC/7eUVk5S5MTeGpaBxIF7KDY1ppC/PleUwn0xkWUnzBvgzLx1sJyj6vytHuzcazuTe6lVLgxvIb8MHWKGbjWexL92ECE13y6uUvqN73Vo0W+Tbq47D8OE9Lw1vtQvbDW7xxpXRNb1g2MMwDyhN0WV4rys9zw/PA4Vcocr72Gwjv52YQGWowr4GOjo5i5id+Akkc43fe/37MjI0FO5NXD6VQ2VxPzwk3Wu28zva2gwex7/jxHFjngaay8vjl/zxY1LDos2qs9Hd67hyiNMXqwEAXSFQlq1FRduC07JBDYfUd6IBqNnbaB1VOK8PDqF68mBvIHLQJyU7T64oYPdxU29WrS6vVwsKhQ+3fnSBQyIBwWbonmJWT7jcNgV2dffbkEZIh3y+VSqh03lCkdDWVYJ/6xGT6hGdh2WBbvwsdOgz4Z53EcZybxWPnscgObCQI4pGVYSt/Kps3Z9eLVjGqfujlSPNzobFt/6ePHcPNX/oSAOCXPvMZTC0suPkrGArZPw9gerLSmVtPlnyvvLSUveY9ZOvUSVGHyuPNsyFGbHc0X+XRnl8eHASAzO4wqAzpSO7LnszVuWNZhbCIUZIkuNBsYoTO/7N+zys/1R4Yz/rx5GZpQ2S2w3tVe1GfNapUKoVjW2XWpz5dKTGGZd1r/dDGnJ35WESqo0KOvY7nEEZVvaIY1Sv3wPw8os5ERqnVwvWi5z286QV0dNzzdQ+v8thne716/jwAIBFfxtKUy+Wul7x4ZTPmVb65vYpwr2EBuzbWGsMHGx/Eg0MP4le/X8b/55vXYzKazMlI3wbptWsoaOZhd8unWq1isDMp5Ol2riO3x224AVV941c63ZZxYJWSN/lfpOOtXE1j/6eSqc5b0iKU0hj/8XPA9fXdmMQk3py+GRNYX4WkcinqV965tR5pMEbxIdtRxh/a93uVxTtHlOcroWt65Y9Vkpffhwz7RhqJBcyzfEXgygNf2lA6QID8qfSc7uzevbguSTC/Z0+WLlSHUECEo/8cJWXedRuXB1o3HzwIAHjDCy/gdS+/jN/7wAcwMzaWe66IvxC45DK81Vn80QCCGrttnXurQ0NuHfh3rwFiisdT2gr+dNWVAmEdkED7zSsj9JYTLZuf0z7jAdVQPby+pdF0ANg6Pw8A2HPmDE7s3dslv1A/1nb1FJP3rMqTy2Bj523T9JSg5xAb6QxYH4T36WqR9V3da60gzAMQTAqabdUA6w4eJ15A1xtLRt41j4dqxxaUN23KVgGFgB7z4ulm1bshnWF2Sen6hQXE4hTMT07m5Khjmm32RsZ5kR3l/D2dZt+Dq6s43QnEeHUOtZPZGM7PW1njAVyboVdetEyWi71lsrq4iHhoqGtVaVH/CNlIxRp83cM0qvvrpRLilRXXBtr4UYDs2RzA3+bo2SzmRa95zkPIMSs6QiCKIlQ6q6U3ijn61KeNkPVxXvlp/dR76QAQngRQPcHPetjTsyn6HJcXGq92LY5jHJ6czO1yODI1ldXD048e//rb09seT56/t9IJ/rScAI/qIy0jxJcGMDz7XaaJV7WJzO8kJvGuve/EBz/9OB67dycOiv5P07Tr7VHs/ymeYJloW1kbmD1fWVlx66d1YtrXHMXX/hj4Zx+8BauDQ7g9uR0T6UQWlOKJLr6mvLLfYr8Z11c6L4XQdimV2odyf3Dtg5iNZ/HWM5vxG099Bn90W9yFr9S2eu1bhL3UR/F40ef02xtz/OGdJUoc8O3VLpdC13TwB0BuySIbaiAf0fSEoem8xrRvHkRFoBboBqchJawdPYoixNu2AQCGm00syqoG5UMbWhUO88qghQeSB5bt2o2vvNL+j/XXH9rSTF3hoR071PlUth5o8+SrbZsFWS5eBADUBwa65KlbxJgHBo/Gfy/nwZ5pkIOk4NBbTm//V4eHsbVjZLgeRQCR/xtv3hk6TKrYtC3SNMXUwgLe8vWvAwDe++lP4+yWLZjvbDPkPuOBeeXHM/JFBtrjPeT8sHzUcNs17hfMA4OIq7UPtk99ArqDizobVKT7PaPPICS0bdnLIzRuWL9pWtVx1c7YuCjLwj0QocEfBbZF+t/THXbd0h+ZmkIaRUCaolUq4TBtfTYZhV6VGwqaqZxCdWLeeunlysoKmsPDXfl4dVK5s14N6TTVoUD7NeKePWPSZ1Y7W9Ois2eRdIJVHm8ejglhCy2L7afVj+uh2CAZGEB88aKLGQyLeTaO7bs3oaXjRXFEyGbymFXQvZHnuQ5RlH8ZRN/u9OlqkeEYDXoD+YkEDRB7+RipzmI/IbTtM+RnqE+g/LHem5+cxMIDD2D0m9/E7z/yCGbHxxHLuA35BhbosN+qLz2dGxq/dr9mfFcqOVlaXvrGK5WFh4F1G7EXhNFyQvIFgHRxEaUkwerQkIt5WV6sC9WeFdlrfc4muDzZcrt01X3TJtw/D/zyqXsxMzHRrmeUf0Z54//Mk6blBQD8rNoTAJiOpjGNadyanu7i2dPzwLr94jcJM0+ah8nbSAM4are03bwVQfoJYR5u66J2uRy6poM/DHA90uAPP+PlxcLW69ZIRc49UBwZ1zTamJVKBZWdOwEAA/U6ljuzdp4StPppfXudzcJ1CckAaC+/398J/qQAkjjuev2h1p8Hov330nnPewbJk6MqzWbnfIhVArZGuoqG8/ICaOzI2YDjwe21WREgVmpu2oTyyZOuoeD8vLZWBemRKhbOn2VaKpVw3cxMbtntdTMzWJBXR3ozMLo8EVhXkloXTyEzgPH4BbrfBMb1t/sqEy6TZRbio099ulLqZXd4u3EvIO7pBAXdDMaZFCx5NqKo3491dGj54EHgwIGuuhTpY62H998bo55eSNMU8+PjSCoVXNi3Dx+/996ut654vIRATxE4tropQO9VFwBAkqCysoJ4x44u/ao8ejrbA3ycT4hvtlNeuUyZroxjrFWr2PzEE5i4557s7aEemA/Zds+5UpzBMuXrCrTTNEVrYAClet1tQ93WYv1dV2KHQDiXGbIvWi/75rPzQiuAvbKZbDLSw1596tPlkvUl3uVg121cWIBF8XivfDmNOqpeX/ZskJ634x2HwOOmVquhuXMnWuUyZsfHN7RSW8dl0RgL2QsvsBxFESY6Z6KNvvoqljrnzFkathG9/CYmz06rXvN4Dj27euwYAGB1cNBtE6/8jeohLk+D4Lq6MmSTmJfqrl0A2n6s9g1esOHJILRSyeunaodYf/N1Wx1z53PPoVWpYGFqKlcHPapFAzghexfapeBd47rxKibmneup9fW2ywHFWz2LsGcvuub3SkRR92u3lfjUcO6oGl3TVSCWhjsBd3YVrAdCOV++FwRtnXMXBjtvheK8tN4aEPA6aMgA9OoQ+2dnEZsMADx1552Ym5jIKUTtnDz42CBxx+bf3mqrnCzS9RUoCirtftxZSbNKh5Xy83rOD1/30msQyPi0+/ztPesZZvs9EEWonjuHyc52K62Pp9CLlDzzpcbO44vLmN2/H6lFuOMYR/ft66qTlsljwr71DKheeYSUUZquvy3JPh4Q8Maq1x56FlAvENSnPl0q8bYvoBu86eyk6g+95h3U2cuZ9fSBpikal1MLC3joG98AALznU5/C9LFjubJDTjbzthEnI0RqS7efOYNyo4EXHnggW2XKaT190wuYazoPQCkvfE/bsNpoIE5ToGOrQzJSQBwqh6+Fngvx5bUL/5+cn0e50cCWF17Af/Nnf4aphYWe2IAphJU8ORpI1sM8+X4cx1grl7O3fSnPiptCPKgTeKkrbJg3HnfemNSyi/Ksdl6e4I2Nvg3q05WSnTMXwlEh36KXr8N+BG9d5hWtXIaWydg/1N/1ehxF2XG8rFcYC4bK6UU87kJBFstr+tgx3PboowCAj3zyk5icn+8KAoQmK0P6dyOkbeL5Dzk6cwZA+/gIjwf+b7ybPlbfl3mwb90S7GH2EH+80KJUKqFiwR/S816/ZP9sI/4Ml6vBTu37dq9UKmFrJ3D2+qefxi//yZ/k2tj4YHn1Wr0ZshdFdp3z0v5eFGMA1s+Z87CBbTW2a0XnNV4KXdMrf4B2ZdfW1nJn2KizHtrPx43LjR9yLDWQwApKVyh4oJgbzwNza2trOJ6muB3AvU89heiOOzA3MeHOTnr14LJ78cJvhOL87HN4agro3G+Wy3jyttu6lJOCceXFc765zgwYQxQ6HMyo1onYL8sbq0Kg3upcFHG2+9ZnQrOO3ixCSB6T8/OY/t73ELda+JU/+zP84Yc/jLmJiawtlGfmm/OxdJ6y1rK1blHUjoDX63XMjo/jKz/903jnZz+LL77rXW1HS/pjKNqt5Skv+gy3sclSI+0mT9trbP9NProKAlgPzqmyS9N0Qwcf9qlPV0IW/PG2l0ZRhMHBwaBuU7Bh/9lOeQ6q2g0eW56u9wAfj7/rKMhfShLsn53NznVTu+PpIm9lnueAqG0K0fjJkwCAhT17AAfosDysLLtfBNK8/0UgqYjXgXodANDatCmTpQK5jfDBzxiFJhp4xrBUKuWcQO8baMvmupmZ9m+sr/Ccm5jYMDgMtWWv+mn7VCqVbLv0aqmEUr2es7GaVwg7eM4K2xQjb2aY73Hdoqg9gcj2xCuf6xRqZ3tlr2KOPvXpSilNUzQaDTSbza6zYozUMed+zY6hTrDZfcOz3kS5fWvf1rHC9shWKjFPQPtts8uLi4jtjbNUruZlZes5pb0CvuoLGfEKvzRNcd3sbLYKPm61sO/oURwdHc3ZV+916urrePJg0ropeRP4nK62tAQAWKrVciuydHKUv73AiIcJivxSC6BYUMTI090m14a9aGBlpQufcJnsPzPeKKqH9d1QnayccrmM1dVVJEmCTZ3gTwwgbbUwdfgwZsfHs/HBOp7z5XHAfYnHF/Pn1ZP9G/vPviT3LW5PlQ/Lg/Mul8tddVCeLoeuaQ/KhJckSQbEGUDzMnkPaKkiCwFlS8vBH03f6xwWALm3w3D+nOfiSy8BAO559lm8/sUX8Tvvfz8O79nTtbzM64weENdXC3r1sv+sROYnJ9HYvBlnBwfxyZ/8ScyOjSEtcDI0mGNy10HAA6nXPkZPWfJAStMUIx2ZLlWr7gofloPxZP/1zToKyL2+YvWzLR0aGOLBav/jOMa+mRmAtllNHz2K2fHxLn699uF87BvwX1vsyYvHBDuaR0ZHAQCLW7bk5GBbVgysc31CYFYBtafoVaaW1iL0niL2VnxxmZ4M4jhGrWMg19bWumZ2+2C8T1dKNqZ4nPHKtSiKMDIy4o4FXt3Gs0xeH2WdwlQEEhUUqZ3gsX5wfBxJHLcDQOUyjkxPuxMDoaAE74tn3lSXKm/Kk/0fP3UKSaWC2ZERJJ1Vnfacyl/vhWwJ86C/NT8OMquzb2TBn7XhYSTLy8HgmObPQDFkQ1mfcZn8LGMGtRN8P45jHJ6ayg5WTUolHJqcdPVh0Wy68mN5h/ocP2PO3+rqanZ/JYoQNxqoxDHW1tZy9S+Xy9nZRkVBFuMj1PZFh3fqeNKXSGh+ardCgaU4jlGpVNBsNrMJySKb2ac+bZQYB3JfZFvCvk4vm8P9VyfHOS3rKPZTmC+gOxDAvDI+Zjp/7hyiOH+Gm7d6SHUb26deul91ufoDURRhZt++bKK71dGR/EwURV2+W5FO0QBGiC+1A2tra127IVj3bOnIeLFazflHpmO9duEyWM9z22g5ni1oNps5X4f7IedhbTPbsd2DjUaXH6d9U3kP6XW1dZqn5mdySZIEL113He594gkkQPuA8enpHB/eRLbXv4r4UlmqrbbxCXTHC8wXLfJ3QsHOgc6brs3XUZlcru25poM/ADJHXKOfFq1N07Tr7AVWKJZWwRXnw7+9YIHd5+1lXjDEqEg57D1+HMD6IcvXzczg8J49bkf0gLj99wIYTCGAG0XtKO/eUgm18+fx5BvegKOjo0idQI0al5Cz74EfHXT6NitWtio7Vj6bWi0kUYTVchkR8m3myZ6j/uq8qQHlemjAhWc07D6/Np7LTZIEhyYm8FCphLjVQto5yNSLnBsvIQPoKTqWER8Ya/e5P/AzFzuzLps6ANzum6Ln+rKxUEMHdCszz7jpdebPZKhOjTerwco25LRw/2Jw1AfhfboaxBMMDNhY/1QLAtIKjplsjKnusufVwGsgRe0S56vPzYyN4bMPPoif/9rXcPR/+B9wtF25ruc94MFpvGAE86S8hGzY1OnTWD5wAGeXlrrk4wFcL0jAOkodddXZqoc8nvg5AKh13n6ySI5WCJhpecy717b6X+ulgUILlhgxPkmSBEdHR/HkHXfgnu9/H1/8J/8EM+Uy4DhxPKvO5Ybwg9oubWOdyeU0qx05jMQxlqSvNhqNXPv1wjGcRnkx0sk/xXg6EcQrJbx89VwVjx+2wR5PferT5VCtVnOPUmD8FzoigYM/eg9ATrcohtb/nD/rWk9n2Biz9Nk4TFOkQA5LcxrTd0as23gMcx1C2NIjs93Ld96JVrWKhe3b8em3vQ1H9+xBRAEVz4/R8j3syr9V5/C32TkNlqld39ZJvzww0LVCWHW26k/bEeM9x7xaW3mYhHkrCq4DwLEzZ5CUy9guL41hH0sXB3g+Dvt7nm0K2VC9/sOpKSRxjNmpKXzpbW/DXGeng03Y8RZ+XXjgEY+/UJksG/Yfud6hCXyuv9oSL+1G0l0qXfNn/qRpe591tVoF0AZDu3btwp49e3DgwAFMTk5icnKy621XJvSBgYFMoeor4rlRdfADxYc12X3tyPrRzr7cOXvFIpSHp6ZcparPhf6rrIwP/u3J9PWd63M7dwYVoNa3SAl5/JkMQmdZeMpJZTGytoa1oSGgM2C9V+Hqdwhkh+Tm1VOvhZbhG82Oj+Njf+/vAQAO/dzPZQdvevl6/YJlpmm1Txa1Cae1Q7KHaKZVn/OcyZAxVWPl9a2QQ+E5pmo4+eM9o/n/KBRin/pkxAHStbU17Nq1C+Pj49i1axduvPFGbNu2LQfGuW+XSqXsXKqQ3dGyGCAyFZ2xok4Cl2H5zXX255/eujXo1F8KFdkdLlvTRQDGTpzA8b170aAz74y8WS3On+uk9eTfrEP4XKaiMtiW2zkG5wmMhoBrKIDXS35F9eP/LCfP9qRpms1kb7/1Vtd+GKnd0RVCHj9KHq7RdGudMwoG03WwHZJPyN54Dpb3bAgH8LOh17fb8xzctTSeg8Dpvf7Upz5dLlnfGhoayk1q79q1Czt37sRtt92GG2+8EaOjoxikM2FY59m5IdZHOYipZdn4V7vj4XnVSer3ePknSYKda2uIGg1MHzuWm1gH0PWfn/V+M08b5cPkcMeWLSjX6/i7227D0dHRrjrzil7V78YfHwGiE46W1tqBzwVTvoF8EI2vb+74GMsDA65uVf3k6VWWj9oCT86enbCVmZpvznakKVZrNezsYByuv7aB5xOzzDTYGGpbT9+TUFHftg0XduzI3mrM+ak8PJvCz+jr2/U3t4Gu5tK21zqrrbE+6LUV885jJiiHS6BrfuUPsH4miDWKCaJer+OOO+7Azs4btIxMIOVyGdu2bUOtVkOlUslmauM4RrVaxenTp3NLJLUTWMMq6DReuNPaQNRVJV2doXMOzBN33om/u+WW9ttOHGdXI4h23dJxpyrq6J6TXi6XsffECQDAsY5jwOXzb28wewpJ06iiqtVqaNASQQ9caYAtiiIMN5tY6QQxOA0AV/62IixUJ54lVF5DiobzL1oe+uL116MVxyh1jDAvPVXZqAyL5MoOnqcA1RkB2k5PvSO3gc7WBZZ5yKjwijqPj9B/Hj/sjGr/YEWpilOVqFHICFq5ngPWpz5dLtkYs73WFsixewMDAxgdHcWOHTty/c509tDQEAYGBjAwMIBqtYo0TXP26+LFi8EVQ0C37vWC56ovGFCq3mp2eF89e7brOS7H+LBrXtoiEOXlx+nuOnoU1YsX8VpnJUtI53E9vDRq4/ie6g87O6MosKQTDoOd7bDnHCfAwwh8XflRmx2SlcqV66/39fmzW7YAALacPp3N2obShlarePZe+4XOVvN//m50+lu1YyvZfnlAvySzx5Y3y0IdHa+veHY9NFvPPPE1fo63bPIzfZvTpx8F2SSDjrskSXDu3Dnce++9GBgYyHY6APmVH5s2bUKtVkO1Ws29wrtUKuHs2bOu3mfMxr6L7jJQ3eTpbdYHE3NzuO4HP0CUJPjv/vIv8du/8AvZWXNct5C+4WvGp+J9day98Tg4OIgts7MAgBMdX0cnSzw9pvoqhJsVl7PMrQ14dapXX8tzpNHAWrmMVrWanc9p6UIBHF6lE7K7Ks/Qf8bgGuzx0q/UaqguL2f181ZIczupbDk/xSwhG8/yZNmVSiU0tm/H8OJiZlO4Tdg/1wCKJ2f1vz0cojYpZB+1/qHyuK9xv+K+yKuYPLx3KfRjEfxZk20rJlRTlKVSKQN5msaet0+j0UCr1cLIyEju8D4gDyw58qdL4LTz6ZYmK5dfgWefgcVFAMC33vhGnNq+vb000nHoLb23osk6BA98D7SrcrRntmzZgpFvfxtnN29GfXgYCBy4yzLhgcvLMzmN1dm712w2u5ZO6gHZ9s2DanB1Nfead09WnD60jYgVykZIQaXl5w20LF0c4/yWLRh+9VWUb77ZDeAxPx55QRf7r3L1HJKckiqV0BwYwPTLL2NqYgLHpqez/FgBcpTdM4iqcD0DxlsiVeFzu3uBIQXezKONP6/d9HT8y1WCfeqTEgMI7su8dBtoBxe4D1r/LpVKma1pNpuo1+toNpsYHh7GyspK1q8ZnHiOsY6JEHjzQJT9TzqrZuO1NcSdCRANgFjaIoCi+XvgwwOqURRh+tgxfOCv/xoA8MZvfxtPTk/j6Oioa3eUBwY/rONU13tATV+dHLJzXK4Ff84jL9ci2ej9Ij2ugR7vedadRduH0zTFma1bAQAjr76KgU2bsNx5SQKnYfBr/ThkT736ee2sz2Uyr9UAAOVGA3FnZRwHcVRO2pbKg+foeWPCsyf8NiMrm7+VH8Y3TQpecbm69Zrr0rdBfbpcStM0myDll2LYRGIURe5B0Orr2JlUjUYDa2tr2QpVC2iqvWE8ynnyb+aRnX3WyTaeSqUSbjpxAlGSZAfR33DsGBampgDkzxTjcjgI7K1wYJ/M6q96zP7buB8ZGcHg008DAI7v2NE1ca/5GnGwh/Oz/95qW0vP23S5PJ3cVN1fW1rCSuc170whvayY3fMLOX/FMiGbw/Xm51RHr9ZqqK6sdE04eH3JszUhfWnXVMdy/ozD7LO2YwdGZmZcW63twO0VwleeLELptD7WDpzWs5n2XaaD0T285QWDrpSu+W1fZoS5A3oROZ05sm/P4OsgMIVVLpez84W4A9q9EgEZIN/A9puvGVm+1Wo1W1LeGBrKovSe8rRnmB9VFtqZQteU1zRNsenwYRzfvbtLplwHqy+/GhJA13WjIgVpA9lrP1OuWs9SqYTK4iLqg4OuslW+Q/Kw/5w+pPT4P8vCG5QsJ+P/3NatGOy80UaBZVF7eW3m1YOvh/K1cqcWFlBaXcXozAz+wZ/+KcZnZ3N1C9WZ8/cUWxHxeDCydud+o8rPqy87cF45nuHtU5+ulHQs2DUGgqFgKLB+Tp0CY9VTrF+4vNArP4t0g3cvOwuv44xPfOtbmD52DNVqNduSZml5PMVxnNkeLUf1vlcXy4Prdf38PEp27kyS4MD8fO4+61DP5pjcOb1Xf0+PFoE37/nBzoHPDdpe0et5rw+ZHHo9U2SrNGBicuD6L46MYK1cxsCxYzl7rgEfrx/2soceb5pOx4GtNKvJa6u9MRWybZ5+34i8vX7jPR+SCZA/e0SxHGOU/uqfPl0tsn5ar9dz+JcnkBm/Kx6zyQr7bektoMR9vVKpdOkIy4v9EdbJrM+YFx5HpVIJAwMDqFQqmD9wAGkcI0X7eIv5Awdy+p31OY9BDnr10peKJbluliZJEmybn8fZzZvRID/C0tqH6+q1i8qA5a66mdPaJI89xxhY7V1lcRGrneAPX/fsDv/30nltt1G9rkGVkN/UGBxEZXm5SwYmB/OZVfd7+ltlbP89jMD/+Zn6tm0YXlzswiBWJ227kP1iXjwb6fnKnv3m/qBt5rVFaFyrX6x5XS5d88GfOI5zp6TbNe1Q3iF+ZsRtyb6lV1CrDcTAXhuOn+PfCiK4Aw4PD6PaOcF9qBMVru3Zg1qt1hV8YaWRpmnuoCrr/J5C0I6oAJ1/ty5exNDcHE7s3dvFtwfINH+7xvJSnrgdVHZ6LyTDNE1RXlzEaue0c64f9wPOIzSQ+TrLiBWI1xd0QHL72Dffu7B9OwaPH++aFdTBG3LulPeQrDRvj/g1wPaKS5a1KvdQG4eMBBsvThcy8p6cPSXO7cT/veX2PAPSpz5dLbI+ybZCAZsuBbf+myQJarVa1zhQIOKNRQa/RQBEx4rqxziO27Oeg4MYO3MGADD1ve/h1z/xCRw4dSp7LmR77IwDHptqH3gc8/MeqD/cOZAxBZCU2gfih0CQZwtCOlFlz/qA04VsA8vQaLDRQFKtoiH2JkRqa5jMKfMOavXsrFdfy9fTiXEcIy6VcH77dlQ7Z2tonr141vJD6UN2R+u/1llptkmC/N52bG1zI9Xnnjw8zOPlp33cG1PWP/i39wZNIL/FeSOy7lOfNkLs6wC+XgfyK19Yx5m94udsEsLuq3+gDrVuk1T9HyJLPzg4iFqthmPT0zh3/fVY2roVf/Gbv4mT+/e749zIxlvRmXQhnak2iPlcXV3FppkZnNi1q8t+s1OtsuU8NcBk38qP2p1QoMKrEwBUFxezlT8WXOaVTOrPqQ7VSQFOa+TxEJK11UnvWR6NwUGUFxe7nvPKUH/ak2uof2hdlWfDaEubNmFocRGR43spJlFsZuWwL6ty5jbw+OWxymVz+3l2yGsnPUaD8UvROLwUuqaDPzqwgO7BZ4691+FarRYuXryYC/6wEL2Byem0I6vS0M6iAQHjlV9tOrCygla5jOUkyZb/hwIqKgsFPKHAkfKvW8dGX3sNUZLg2J49heBFlZqXLqSQ9bcasaJBaPIslUqoLC1hpVZzwRr3C53d1QBBqG5KoWCC1x6qkKIowoUdO1A9exYVesOBpxRCeWsbeobfq4f3fWR6Opt9SUrt1x9q3b3AlldP5cP6uzcDyv2S68/8M8gIKX3e2+7NgNv1fuCnTz8qYnvDelfvs95oNptoNBq5wBGPcQVpofFl3xo89YIxRpzn6uoqkiTBdZ0zD6I0RdxsYuyVV9zDNrmeGwF06qRo+fyZm5jA0ZtuQjI8jD/6yEcw1zn7TvWJ6iamkM7VQJDHR8i+83+r+1CjgdbISLZlTHVZSE8C3Qfyezo/ZCuL6hHKy+jCjh2oLSy4z3oTY54civSoZ2f5GvcbO/B5C52TpQFPvu61q/3WSSVOozPUoXYpOufOw162Ks7GOoP+0NlRferTlZD1X08vW1BG9RBTq9XC0tJStg2ZxyiPPQ1C6If7u+omHW9emqWlpWwLUFwu49zoKA7v2ZM7uL6XjeGglPo8rI/VfzAeOM+BOMbw3BxO7t7dFfjiSQ4v6BNFUS6Y5uFY1oNegCYUJOC2tXIqi4tYkYlufd6TG9AdkNYyVX6q89VmeRPSGhhpDA6i1An+qE3Q57geKifdCRDq5/qby4yi9grYOE0xTH419yWWhcqGV9iF+iOX24s3I2/bmo4ZtV3s63C79Drg/FLpmg7+AG1B8bYv7uzVarVribyROaWNzv79kKPqATuvc/C1IpDJfNogWl1dzbaubDp2DK04xq6DB4MA3KtLrwBGCADptSiKsO/8eQDAAh32XJTey3sjQBHojlratY0G28oXL+YOfNZ8i3gM1YEVnxpH+1Y++HfISQOAC9u3AwC2njvnKigvkh4C+0VGIKS8WZnMT07iyL33Io0i/Mkv/mK259pry40oWW1Hvc/5qZLSWdNe6ZkvTz58rw/E+3S1ifud2h0DyHaPvy3NysoKKpVKV79X0KOA1hv/vXSyPmO/m80mkiTBa50XIiRR1H7DpLwNI6R/Q/YmFDBWnaS/K9UqVsbGcHR0NJfey0t520jbaP295xSEeo7OQL2OZGTEPeuvyF57baH3Q+k93Wr1857R3xd27kR1YQFw7MtGticV8cD3i4JZ9p297UvwTaitPGyjeetvzrOIimybPq/92+vnerxAyI73qU+XSuqjWN9qtVoYGBjommhgarVaubNmoijK2Sq2M5yG9ajaMnXSmbx7NvFhvk55cRGL5TLq9XrXmTdMnh0I6b2QffImRKIownWNBuJWCyd3787x6elEzyZ6Y5plyLLy9DLLXPUJ5x9FESoXLmBlcLDQR2DMa7x4wTSvXt71kI315KHBpcbgIMpLS1kdeRFEyEfmOnj3WMa6iqmXz7m0eTMAYKRzri7XQc8LtHuh4Jw3Do2vEM7x7IfXx9hnUZ4UI2odr+ZW42s++JOm7QO0dBmUXS9yEIH1AzlNcHygmDcYPUXkNYI2vOXngQM7oXv06FHs+Pa3UWk08Ksf+xgm5+czXjzScvmVvxsBiiGaOHUKjaEhnO8cFOmVad9eRF2Vk3Z8zkuNig6qkPFJ0xSltTWUGg2s1Gq5qCfnw+3DfYS/Q88WBR34t/ec1U/rcGHHDgDt4I/Wx+MtVJ6SKvwQ6GTFlSQJXr35ZsRpivNbtrj11f6tv7Xuyk+o7/Jz+kY93b6lMra+ETImzCdvi+xTn64mNenMEtZXoT4JrI8Z67vW1/nwcm8Gh4GA5aPjz6NefT9JEpwbGgIAvPCWt+D3H3mk660rqvN7ldXLNno6BABGlpawsmlTIf/2vNn4kH5m+xQCt/oM689QnQBgYHUVTeHTiCeL9LlefcKrB/ctj2fuc8yv5n9x506Ul5ZQW1oK5rMRLKP5FjkHWj/Lr24r3lZW3Lpq/soP5xmymyp3PsxW8wLQhfuK7Lqt2NM8WBYazO1Tn64GeQf1At0H13vYsVQq5TCW1/9D2NK+PbsU0lOK4WwMrq2tYXV1FeWlJax2XjDAr0pnvebVxb7Zdup2NCbLX+8nSYLR114DAJzqnG/Kab2J1Y3YW9VbKj++rnx7Ot2ofPEiljqveffy47K4jh6W5vS9/Al9ls88K3pmbWgIlZUVpJ1JJs8/0I/WwbvG/z0+Qs+tdXyvTZ3gD/OkelrtwEYnpXUsaD/22iPkl3LebFd0rNp/Pqz9atA1b7miKMo5eEXBiVDn4gbRlSjasTYCgHm5IYCu/JWfJGm/wnHq8OHcCfj75+Zyq3+YL1YaIeAU4l07sILVnQsLeG1iAhEpP06vARXN0wsYaPuoXLyBAeRPble51TqHY6/SPlhv4PErWUODytIUKShPgakxDSlNo3pnVnsrvVqTAzKe8Q4Ba66bPqt8ap2s3JU9ezJ+uE203bnNPGNQZIj0fkjheY6EZyDUUdYVcpYfg/2iMd2nPl0O8RjjmUU+m8AbF5bOyBsXCrRC46KIQqCI9USaptlLBp5+29uywA/rS36Wx22vLS6Xen3w4kUsDQ/n9LfqPgNAtnXA041FclLZcr1URp7eiaIItc7KH08PhkCulm0f7isqT7UvzKt9NHBuafS73mnXbefOdd0rClaaPFWPFtk8r77831b+7Hr8cUzMzWXlmHwVI3H9ldeQ08py0T6rk0sb4T3Ufp695/YJTZz0qU+XSqb77Dd/s8707hvpeIjjODcB7tkq77eHpWzsGp72xpj5Os1mE+WLF7Ht1VcxPjubCwCFAjmhMRza0sU+gJdvHMfYffIkWnGM13bsyPGv+YRscdH2G86L68eY3WTj1YPbpLS2hnK9jtXOyh8vmMVt7mF31WVcv6K0of+eDuS2SToTJNXOCxK4P+TSBXwuvca0EZtlZPnXt20D0F75w8/b4dPepI35QV4f4rZVeRbxV8Q39weWjY0nbwKD9YL6z1dC13zwJ0kS1Ov13MBVhagKjzuGrgxQAMcDlZWTB7AU1KmS9WYhueMf3bcPiNdPwD/UOfdA05pi0c6gILEoaMCU61CtFrbMzOD4nj2u087lGxUpEM9gKIWcfZN1uVzGpk2bclspWq0Wap1X1q4ODLiHLnoDVQenx7M6PpqOlZYXrGH++RsAotFRtCoVbD1/vqufcj4hmRaRAgBPvpw2TVMs7t4NYN0pAPL7jHWGPU3T7JT+IocDQNc+WebHU7Qe/x7IAdpt4K3q0THO6frgu09Xi9J0/ZWt3K94tWkIxALIOfxen9bAuN23svk7ZNuUX36OneMRe3V5ADCGXgvLabyyeOwqfxpciaMI1XPncKEDbkPgUnnw7ocopBc9oGk2bmhoKGtL+x5YXUWrA2xDQNYLLHh8sK3gdCEAzHqN7zFuceWxfz8AYFtn0qGo/fS63vcCkaEgnILwNE2xq/O2y93f+Q5+6T/9J0zMzeUAr7av5cFvN1LZ9tLtRTZQ68r9XfuXOa9e/+Y6KEjvU5+ulMw+MIb1MKSHy4D1s0W5T3M/VR9HA9mAf7Yd+148Vuw/n6FjnwPHjqHcaGBydha//olPYHJ+PofhObjj+RBqh7wgDOdjeFMneLfOz+PMrl1oxnHXePXK4knR0NESqtOZL9ZhXI61Q7VaxaZNm3LyBYDBzgTNSucNkxwc4PbzbJzyqDpNcYSnT9XeKHkYpNLZTl7rnLHDutWz26rPi3w0r65ctvIZRREaneDP8MWLOV51MoBlValUUK1Wc23K+XoxB+UldN8jrTeXGZIXB36uJl3zwR8AXTNnrLR0P6U2jilTFrIXbWPyAIE2kqVT2rRpEyYmJnKn7FvHOHfLLTh9991YqdXwuw8/jKOjo26kr1dUV695QFk7iqXddfYsSvU6ju/d26V8vU5cBCQ9RaQGQ/PSdJs3b8aDDz6In/7pn8b111+fK2+o47Qsd94ewjxoW4T2Q3uDyq6HlA+Qf92r1lkBL/8vV6tYGRnBjYcOZaA31Ha9QG0IvIZmnjmd5XuyVkMK4K2PPYY3PPVUxnOz2XSd21BQLcSv7pn1Zml0nyznk6ZpdsCmKmBv1ltlYFtz+oGfPl1NStP2WW3cX201it0HfINsafm3nb/j6RTV215AVO2X6pTBwUHs3r07m+Vl2tb5/2rHqdUVc1wfq5OO9SId5ulSHf+1ZhOleh1b5ucxtbDgykzz5OsbGd/Gh77gwKvH8PAw7r//fvzMz/wMrr/++ty9oeVlVI8dw+jRo4Xg1PhiO1pkU/R6kWOhdkZloP1oubPCk4P8mleItyLgqjgg9Dxfn1hYQAq0DxhvtbK3Tlo+vO2C8/be9sN9K2THmQ/FTiGHtdVqZf2kCNdp/ood+V6f+nS5xGOA9Qv3Sz34X/upYSEAmc1ptVrZatWQY2vP8zeQn2Bjf8v42Lp1K8bHx91zV+949dV2enR2OczOdullrR+Xqfqfn9PVNXbd05ebjhzByd27u4LvXI4X0Dd9ycGl0HbfOI4zDGu8cVkmv23btuGtb30r3vWud2Hfvn25PAY7W2SX6cBnlo/xxNjY8vbkZPe89lZ7qHozZIv5WhRF2QTJQGflDz/LNodl4WGdkF3xqGiC7LWVFawNDmKks/XZsysaC2g0Gjk/yNse5uExll1I93s+S6VSCb6ZXMe95qOBziulH4vgj0ZgWeg6a2lkgvTeFgEgFwEPCV1n2hR8cSMkSYJNmzbhzW9+M97ylrdg3759XWXu2LEDF4aH0ahWc+cuaDlclhdx5/qHBqfKxL7v+OEP22VKh+Ln+XpwprGALK239UHp5ptvxp49exDHMbZt25YzEFOdM5FGOgdUc528IIwSD1YvMKhpQvXw6q+KzYz2yLPPYvjcOex59VX8ykc/isn5+Vz/8ojbXRWuV1e9z9c03Z4vfhFAe0b45z77Wdz95JO5lW6qgGxMqQELEbeXByY8482/ebarCMirUTGZ29gpcrr61KdLJQMGCq5Y94b6nBloz1nnPJWKdBHnDeRtxtDQEB544AG8/e1vx+TkZFdee86cQatSwR5ywu1ekX7nMjhP5dGzQVqnGw4fBgBMvvACNk6oSAABAABJREFUfu3jH8/0Yoi8cnuNb0/XqH40uvXWWzE5OYlqtYpdu3ZlumZqYQFDy8sYfOEFfPAP/iA7l8/yZz2kICwkh5B8PYcrVF/GA0B+BXOapjjXamFtyxZs7wR/vLbyHCSv/CLy+r0+f7jzVskUQFIut1c8U1rrdzwOGJSHyuXf1c6EkGIAtmlekJRlwM4y18PDgsqj4rG+7enT1SAdW4ZtzPHXAIU9E0X+W5MsjxB+DeHK0Biycnfu3IkHH3wQb33rW7Fnz56u/M/fc0+7bLR3OdibZo0fzsvTSUV4TzFyKP1Qo4GBU6dworP6XQNqnt/F9ddVUxok4ue9bdRGFji69dZbsX37dpRKJWzuHE5s6Td1AhDLnZfbmGxCOCKkf7hu3GYcMFMeFetbei2X2y9NU5zplMHBn5As1dYpnx7P3J5FQUrj6dixY1jbsQOb6dw7bj/vmAg+oDzUfpbW3hqu10NYxcurXq9nZxhzPr38F+3/Wr/LoWs++OOBLB4UNkg8RaIgoVQq5ZZ4eQ2kSsRb2eC9hrBUKmFsbAxbtmwBAGzZsiV3P47j9rLMWg2lTjSeo8lanl4rWoqp/HtyiOMY08eO4aFvfQspgJ/+67/G9LFjGwou9AKMnhK2weblb+nSNMWZM2fQbDZRr9dx7NgxJEmS8fqOr3wFAPCzX/gCpo8d21B9Q//TNO2SNacpGkScvlQqYXx8HG9961txyy235A6HBICtzzwDpGl2rtN1s7Nue4T+6zfQfei2BkV0yyE/e/Pzz7evdf7f/sMfds0AaD/rxSvzw/1f+7Q3W+KVmyRJ15sqvLJZBmac1EHV+vepT5dDURShXq93Ocz2m4G1p0eq1WrWf8vlcvZfA+JFoNzy5bFlOsiumT6yAMaOztkG9tl3/Dimn3oK8doafu3jH8fUwkLuvDqtF9tRHs9cN89Gcf1Zz1qe+zurfWwm+ACdBePJImR39BmPvJWRCiDPnTuX2Z3jx49nz+zvBMgiAHGzif1zcy4O8GQXskPep1d++imVSti9ezfe9KY34eabb8627Fo+p0+fRmvHDhyYmckCVp7u3gh5MlPSNmZe5ycncWx0FI3du/HFf/bPME9vl+PnvbyL7CK/AICdYl6NYPl62Erz1Xr2ahfuo6HAUp/6dDlUhMesb4fOQbN+WalUMj1WKpWy1ShG6qT20kvKS86u7NuHkZERlEoljIyMdI2v2cnJdtBnYgK/+/DDmJuY6MKnbFOsHnzfrnn2KLQli6+NnTkDADi1Z0/2PNtzz7b10gXqG+nOk6L2PX/+PJrNJpaWlnD8+PFc3a87cQIAsOnCha5yOcDAK7CK7If6i0wayPJ0ufW7ffv24e1vfztuvPHGrnSnOlvVBhuNLnvh6WLT4ewvqN7m/FmmHAxTXo1arRbSJMH+gwdx95NPZvc9GYTam/ngLXw2/kz2oUUlKn8rX8eh8s9bJz1eoyjK4ZqrQeXeSf7/S9zJTTDlcrlLgbDQuGGq1WpOaaZp+0yTWq3mdjb+7ykpr0Pa/7Nnz6Jer6PVamGuAxqZzpw5gy2NBmqNBqYWFjA7Pu6WZ6SBLaub3u9F1nH2z84iTpJ1YDs7i7nOuUOhQaLlqwL1ymHnXyOcRnZvfn4ecRzj4sWLePXVV7M0r3/uOcRmyJIEr3/uuZwBYWXAcgKQ48HSMlhUXjwnTFd1WT/cs2cPHnzwwawPHTlyJJf/y2NjeNDyjSIcnZ7uKkvlwsSyZX7jOHZXuWlAkOsTxzFeuOUWXH/4MKx2L9x6q2ssNmK8VI5p2j4XhQOiDTIE3ljxSPdIW3neyh/Ly65Z21xtxdin/3rJ+h7PCEVRlNkd63e86kx1S6VSyeyOjZtqtZpNRqjOYX3GwMybDTOy8bG4uIhGZ4vsiQ6INF4OzM/ngtEH5uczZzwUeCrShZzWm81T8GfyWXn964HvfCebCT48NRWUvacreummoplKrpddn5ubQ6VSwcWLF3H8+PGsjkf27UPziSdQarXQimMcnZ52V/gU8cnXdVUiy8e2S5iu9oJfdm379u1429vehmq1iuHhYczMzGC1A74BYMsLL6B29ChqSYJf+ehH8Ycf+lBmLzlop23Wizw5evVUOjk6it1HjmDxjjuAzmpjlkHIDoby5UANsL5qx3Ccbv/Vvujds5lcHot2OGhIRmZvPMzQpz5dCXm6hLfx8quvPT1twR+712q1svMbjVR3bWRMm+PLvtjp06fRbDaxurqKk50zvjifU6dOIR0awqnRUcxNTCAO6EDjybteZAM8HcxbOUulEm7srEg5vnNnNmbZJtnz3uSAygZAly/DEx0hPu2ZVquFgwcPol6v48yZMzjTCUxFUYTJ+Xnc/7nPAQB+/vOfx2vbt2d+Gbe9khfAYB/I8yP0nvLLOnlsbAz33Xdf1u5Hjx7NTYid65R19/PPY3FgIIcrTDYhnBH6tmdVv3r4nwP8aZriru99D0PHjgEAfu6zn0UE4Mk3vCG7zzJiH9VrR6/vmdwMB9rZcGq7vSCm2Q1vyxc/59nTVquV4UlvW//l0jUf/OGOqoM2itore3Qm04QEdHcwO3DTgDkPKgbzTNoJtSPZs6dOncJjjz2GlZUVLC8vdzXSzldewdavfx1RmuI3P/Yx/PYjj+SCL/bNHc1TTFbHkLIeGRnBXXfdhXPnzuHFF1/MggaDHQchRXsGtrq66m5rUPIGsKXl5zSNOi5ePVZWVvDyyy93KWZoeal/2DVHY5kHD1QynzyLyDx6xDMqNgjTNMVrr72WW8KXJAl2nTyZrbIpJQl2nzqVBfmMzxBgVifBeOU+yf/jOMbAwAB27tyJc+fO4eLFi115Pn/zzXjv5z6Hc3v24LF77sFTpAy5XC7bU16enPjMBCB/DoKujPAMvn1MvnzN6yu95NWnPl0Nsj7IS7ltvNk34AfrNfBt/3mrpd3XZ73tJCH++PfJkyfxrW99C/V6HefOncvpx8OTk2iWSu1gRuclAyHdGCpTx1gImA0ODuKOO+7AuXPncPDgwayccrmMre9+N/Dbv40XbrwRj917b7btOWRrWf/Z9ZAzUBSE8OQFtO3OCy+8kHMiAGBmbAy//8gj2D83h8OTk5gdG0MkOknzYzvsyUZBukdqh4G2fuUgB9DGL+fPn89WSlq5k4cOAUmSW3E639kCyGUzf5dih9RZqNVq2LZtGy5cuIDlzosZuL+f3boVlbNnMZj450eFyt4osDV7753XELLreo1Xgds1j1emZrOZvQxB8WPfBvXpSshsDvsvdt2cTpsE9Bxq638WVDZ7YhMD3viwcaNnbVm5QP6sVUt/7NgxfPOb38S5c+ew2Hm1Nj+3vLyMVq2GkQCGU0xYNHkX2tYfRe1zh+666y4cP34cL774Ym5c3jg7i7VyGSPnzuH08LC7bYtlYGWpvijinW226ncODERRhNXVVRw8eDBXdhzHuOsHP1if6G61cNcPfoCjo6NBX4Eno0O+maUz4okGD9N4/A8ODmb98cSJE1jt+IuW1/bTpwEANz/3HA788If4ow9/uGuVp5ZZtHhAfQf2daIowtDQEPbs2YNTp05lfY775BufeabdPmj7uK9/+mn83d13Z2VaANPqrCugQvyofeftwip/xUieH6MLE9jftzw433q9joGBgayvqS91uXTNB3+AfAcCkB2eaU48dxYPMPIsLTucSt7g5e0lQHfDcVmtVgunTp3K8rLrRg888QSitDMLmyR48LvfxZ90Xg1uA9pb2slBAK987mjlchn3338/duzYgd27d+Pw4cO4cOECoijCeOcQNhscYydPdgEiHqRcXz7slPktchZMDiFwpcqVDdCzN96In3jmGaQAmqUSnrr99iAw4/bxFLY3IDl45vHPvJjSAIBjx47h6aefBgDMz8/n3kiVpike+vrXczJ+6Otfx/fuuiun+Ly3WKmC0YCPB963b9+ON73pTdi6dStOnTqFRx99NDuk1mSypXMGxA8+8AH83ZYtbQch8g+y03HjyYb5U1lbZJv5V0MDrPcdS9NsNlGr1bJIutcftJ+ura1l4N346oPvPl0t4m2rfC1JEjQajRww03GSpml24L/lYf2dD4YEwgEVzovHEadj/Xv8+PFcvvZ9ZO9e/M77348Dc3M4NDmJmdFRwAE8rPO5nFKplM2oevU0MruzZ8+ebAuvBaMHBgYwsmMHAODg9HQW+PHyY2Bjq69CcvaCFF69QqS23Z6bGRvDzNhYmx+x8cqrB2yVD0+fql1kZ8J+c/87ceIEfvCDHyCK2jOw9mYfS39ochJvK5ezIN+Rqaku2VzqG6pMj3Pd0zTFjh07cP/992P79u04deoUvva1r2WrkIyfM53t71sDbx/TVT8hm6N18GSr8uS+yvbHW1E3NDSEixcv5vJnh0JtSqPRwMjISM4B61OfrgapPwEgNwGhqwY8PG42h8eWbv8C8uNFxzg7xXydx0eSJLntsjpum80mkjTF6MICJufnMTs+7mJc9Qd4HHKQ1QsO1Wo1PPDAAxgZGcHIyAiOHDmClc7ByftPnsTOb3wDAPArf/Zn+L0PfhAzY2M57Ku2l4MCKg/Pibff7JepHtM2Ur3farWyA4qN+MBibzEC8+y1kZLnMyrm5wncbBXskSNotVpoNBqY77ytjesx2dm6HQEoNZvYNzOT282i9kN59Pqk/rdro6OjuO+++7Bp0ybMzc3hsccey73lN4oiXNi0CeP0/IVNmzIe+MBnXdVt9Q6tytFgi/pNXF+Ws8ne8rND2L2zg8ye6/NR1D5+AFhfuOLhhsuhazr4w4qGG4CDOIODg12OH6e1CLp1AB5Q6pyyQ2vP6Aoc7kQhnr06RFGEsc7ySCMOvmj03RvEyp+lU6WUJEk2Q8hvrHnhlltw4NChbAvQszfc4Cp5YN3xZuCvZXv8aNTS6sYgWZU9z5IbP5sXFxEBePbNb8Zj09M4uncvooCyszJDYJLLYNDGyon7EPPCAQugDf5eeeWVYDsN0uFn9p8dMq9dVR4sX+7L2s579+7Fpk2b3EMurX6bO8Gf5vg4kgsXuvjm9DozwrxpMMprR8uLA0uch/YDNvIaEDNlyc+zvBqNBqrVatam1kf7YLxPV4O4fwLrdscDowoOoqi9pYTHgtodK8NzrkMgidMyD96sLRMHM+DoTQZAVh4DltBY1PFm43hpaQl10nvlchnl4WEAQLy21sWvFxhRu+MBRr3m8eaBZ7XxoUkMTctlqK7S4ISS8hFKp/WyPNfW1vDiiy+66ZIkwdHRUfz+Bz+I62ZmcHhqCjN79yKiNvMCK8qH6nO1A6bTx8bGsHXr1q4ACPNzuhP8ufGv/xovTUzkVr+yPLygjsrT0+mcjn9b3jyGbOu/XTOnMo5jLC8vI0mS3FavtbU11Go1V148QcETin3q05UQjwEeU3zIq63+A7pX5Jkzarqag0C6/UZ1qmJGu6a8MX+ajsdqHLfP7Bw4fRoDAH7zE5/Ab3febuzpC/4OBZNCY8wO7D1//nxmc6Iowm2dN9tGAMqtFu569lkc7Uy0qy02/Mh1DgXAlCf2D3glPGPpUPDF5N6KIrCGuzg05OJtz96p3jRSW65BL20/r6xWq4VXXnmly9YZbzs6iwlStHeSLNZq2WQN+7PcTz2sooEoI+Z97969GBwczPwET/c+e9NNuPWll5ACaMUxHr/vvhxG8uyDR3afg0FMXL7ya59yuZyNP+5jJhedOPD8POZHeeMxc7k+zzUd/AG6QRPQDU45KKPpgLxi4s7NDaPCVAFrdJf50N+chsuLZJCvdRwEdpIZsOqA53uhBm80GnjuueewZ88eHD58ODuDJU1TPH7LLbjv/Hns/sY38Ndvexu+feedSEXJeKRRyVB9uZPzdf14baOOzV0vvojlPXvwN+95D86cPYu0A94U9IWi8uqg8WBlwK/9S/sIDy5POamD0ahWUenMPgDAqe3bc7LwfodkyvLg3/a50AnmNJtNzM/PZ8t7WQb2mt3S6dNIZSsky5/BvRlCk4/uO+eIO/MdGktGdj6QRsyr1SqWl5e76skyVhlZvzaQ463k61OfLpe8QKinF4oc0xCA1bw5XcgWeavztLxQud64Ul2qPHr5F11vNBp48cUXMTY2hkOHDuUmHS5evIiLHd1UIt0R4tl+e6/T9vgwCgWXTX6hZxkUe3aOSdsqJFv+9uTs5eel6WUzmMeZsbHMweH8lE99lm2ltyRdZWNL7pvNJubm5rK25jyHOlvB9n7lK/gHpRL+6MMfxtzERC5P5UdXl9mqM+OrKMipdp/th83y8hgy8F2v193gn9cX0jTtCv70ar8+9WmjxMEaIO9MAn6wW68ppWl+xR/bIE9neZMafJ0xs+J2Tns3vWik3GrhDc8/n1vx6elK/s27IFSvG2+rq6t48cUXsWXLFhw8eDC3MmKtY29IEMHAEtePgzJMIVttK3xZppbGOw/Ik//m5WWkaAdRWp1dDtoWHs+htrc+o/6N6kgOCqqtsvT62+7f8/TTuKMzCW67HMZOnEB655053kO+wEb0JD+zuLiY6evZ2Vk3CDLUWX367LvehSf27sWcTDhonaIo6gr68bY03p2ggZ4iXoF88M0+cRyjUqlkNoR5sGe9IwU8PHM16JoP/niDkM9eqNVqOdDAQrOGNOHyigR1QK0sdf7tuhf4sTK8g3g5HQcGuDbfuPvu3GCz2WJvMDIA69X4CwsLWOi8XYV5SpIEz9x6K975jW/gqLwSmMsqKoP5YdCk+ViQIHeOD/IHeLPcOK+R5WXcMDODuQ99CBc7QFNBHcuWjaHV06u7gnB+nvPh/hVSUh7oH3v1VQx1Aj8pgCSK8Ol3vSt7Rsu2a0WOAfNsdTBZzc3N4etf/zrSNMWJEye6FNTUwgLuf+oppADe9G//LX74oQ91HTLuAQo2hLbnV8GwZ9i0jrq/V9vK+kmj0cjtc7cAFKdRoGPBnz716UdB3pjkflikH+ya2h07FF11KM9iqa430hk61dGeXgnxBeRBhgV3Q+fI9crLeJ6ZmcHMzExXHRqNBl6ZncWdAKoOzx7w1PoUlc9kAQO2O54D1UtWdl31vKf3Pd60LUOkdfaAfK86e/l5dQtd57LVLvFv6zMzMzOZ/bY3dCqNvfYaUgBRmrbPIJqZ6Xphg1cugNyYCMk7hMe8unI59juOY6ysrHTZJz4rkreB2PN2xhDb4j716WqROsvq6wB55177tR1Ga/mYb8R+iuWnK7W5fObBMJgFOjSt6ow4jrPAgNHNhw4B73hH9t8miFs0qauk13jC1so6cuSIy8tTt9+O+3/wg+zYiL+79VYA3QF7Iw66WT6qozw9HUXtyct6vd5lszxdyiu0oijCxIkTuG5+HvM/8zN4bmkpO2cOgv3V1zI5WP5sz02mvHJFJ8I9W+vZBEvP16Iowr3PPdfVXipLr5+yf6H6OdSfoijKJpQajUb7MHHH/7x+dharo6P423e+E2fOnOmyF6F25PLMZ2WZe3jMyBuD3nXLs9FodNWbj1jR8as4y6vD5dI1H/xRsspbw5ixZqCtndmWW5kS42/tiLpf1gN83KAGNj2gaL9tGeToa6/hxAMP4PzCAr5//fX49h13IJaOZ2Wasu4F8LUj8DV1vgHglSTBOwGMLi1hPiBj5V/30DMfLEO7xlFtXdHjKZooam+TsJUrd770EuIkwfN33olm51Axlbs3IG2geifjq3LntgkB7KKBpQMxAvCBxx5Dc/Nm/Jef/3lsO3oUhycnMTc+7ipwrwy+F0rLdUiSBHNzc13K1fK8jt/utraWAXDLi59jOXCfYpBgr6xmYO7N0HBe6jBrm7VaLayuruZeX831ZEDDz1lf8QxJn/p0pcRjgsEVsK73ge63cDBg8gKYepCnfevMYy/iw4A93nkMK28KHPRsIx1LIbum6dQOcflHZmaQlsvYTG/ZDAVUVM8D/rkLyoPOZuu3ygdovw3UWzGpz3l5eABMdagH2JSulu5iPcvXiurvXesFdFutFg4dOtRVHrf5kelptCoVRM1m+wyizlsv1am1saX2TrFLuVzuWnFaVGf+rWPX6lCv17PzULjPcR4exvDGeJ/6dDVIVzRw3+JVJp6uTdM06888vthOpOn6Fl7+beT1ZR0fbC88Xbnv+HFsWlnJ7XLY1FmVYeNLt76w38JjlnUoBxWsTJ7Q52uz4+O4ODKCaHQUH3vgAczu2BEMMnEduWxv9QbjYiuLJ01CgQ6+PjQ0hOXlZcRxjHc9/jjqmzbhK+9+N56bnW2nFdlw3a0Mxgv2X/m359Q/40BIqO29PshBimj3buD48XZaAAnaAbdQvt7B+MaXLt7QdrI+PDs72+U3Zs8lCfYfPozG/v3Y+uKLODc62pUH15/92hBWsq1b2sdDATnlX/ux1blSqXT5nWYD2V/Kydvp68zL5dA1H/zhQccda2hoCAMDA7nVAiEwaDObtuxqZWUFjUbD3TfoAUwjbWxujF6K5aefeAKNrVvxX37u53DUDl6mvL3Or+VZ/nr+QghYqkIFgONDQwCAqbU1/J0zOCy/opnT0H9W0ja4WDYmT8ubl9zZG5+azSbe8NJLWDxwAE/L6g6OZHsBIG0vJp3FY/mpzFgOTFyOyvhts7PYe+gQPve+9+HZsTGktPyeFYGe68RKQBW6/Q7xE+pzdm237MndZf1O+g2XwW82U2ObputvjvB4YL5V2asB0X7NBon/a3r7zfurTVH3qU9Xi7SPcT8vlUoYGBjIBYGYbPwYWDc9aHaHwboR93PWFaxb1fHkQJEHmDx9BXQHJkL3vd+cZiP5Wbrz588jiWNcNz+P6T17ctuTlDxQFTrTy+TGdlxtntoonQSwpdgecC2iUFrPZqtsQrp8o2DOsw+Wr2efLK3V35wvvh9qXy6vVzqjmbEx/MGHPpSdQTQ/MYGS0195Us7uqY2Mosh9SUJIllxPlYGl19dmGy82ptUeeU4fO9hFsuhTny6FVNePjIxgaGgo04HeZKzqg1KphGq1ipWVlczP0e1fip/tukeeLbFxZGTj94HOli8A2U6HVzqTjqG8QhO6/Ayn8XSX6r7VahWt0VFcvP12RCdO5OyU94zK1JvY4WCv+jq6M4F9HaujyalSqWD08GHcdOQIjvy3/y2OnD7dte01TbuPG/F0WRRFXbtP1N/y7J7K3dv65uGDqakpRHv3Ivr+99vb1aIIn3rXu9oTy07/UfvCMvGC5+qfFNlGq+sbvv991BoNVF96CR85eBD/6Rd/EQtTU25aK5fbzDufyLCa8sN2K1RHlS3XnYM81sf4t2FGzYdx5dWga95j8kBsuVxGrVbLTsHmGRhVTmtra7nDN62xWehajs5CeUpDlZDuG7TBFEURDiws4IaZGbz4a7+GuTNncuUxgOBOwqsplA9VBlwPzsNTpGu1GhqDg7jzG9/AQr2O777udV1Kz34zIGMedVbbayOOWnrgiI1UmqZZJPyOV17B1Pw8Dr3znbm3cOjg8pS2yospBHB7BVCKgklGWwE89IUv4Pi+ffj2LbcgRn7PK0fs1eDw/9BrY4schSK6YWYmm31JAUweO9YFXlkOXF81XJ58+KP3QoZc5WEfc6i9t7CFQLjx1+vA2z716VKJdbv9t9+Dg4PZEnydPLD+3Gw2Ua1Wu/oy600NbCq4U/DJ+t54KtJhnsPO49KzEwq2PN2u+kLBjbc9d2xmBnGjgV0vv4zfPHwYv/P+9+de9+7peV2t6fFu5AWV+VvTGRUFfTaiY4sc/0u1LR7mCBH3IdajKktvJQuALvwTqoNXbpGDyPfmJiZyK02N1K4YfmL+Q2dVeJiH5cHX2XnS/s2OEQcWFV/o//5Knz79KEl1vK0SUF8H6MZgrVYrewMq+zoVOluUt/xoWUBePzKGtb6vel/9l72vvYY7X3oJIF0ws3cv/tMHPoAS1g9b5+e9lwmE7Joe36B+CT/TLJdRqtcxNDSUlaPBEJMb61LWGfwWKC84YzKLoig32a3b4zigbFvE3vn441jZsgXffsMbUD90KCcDzz9g309X93Bb8PO6usXzwbyy7FntB5s2bcLr9uzB7kcfxaHpaRy87jocnpxcf6EE8raJ25Pb1Zs0M564rt7WX6sz5/vAk092bTO24I/2XasTl6V8hvxqzz54fULxI9+Poih3jqq3yIPbyVbuma9TrVZd2V0qXfPBH56BsQ5RqVSwuLiYCcMOfPWU2fLysjto1dm1juYtL/eAug7KUCcAgJ/93vdQ374df7VnD1qd5Y+Wh/7WAeqBbO6A3ixZEVi655lnUFlZQWVlBX//S19Cmqb47ute1wXIPMfA/vMKHJMNP+sFhoqArf2enJ/Hhz/zGQDA1Fe/iqndu7veEqK8qbxCZamx4HI92gjotz7xvqeeQuX8efzl+96HBHDzV6dDZ+053xAg93jyjHeSJBio11FrNHJnTD1/882uQ8V1UVCuZYXAN6cPOVPlchnlcjlbdWdKPEmSzAljpRhSpMyvJ+uQ09WnPl0KlcvlLqDIQDtEcRxjcXExW0WngBsoBhnefX3WGyP8vxcpODNiIM3XGOR748uzO1yX62ZmkEYR4g44OzA/n716V/PxfgPdq6M8EOiNe9Whnv3pJb+QPumlZzS/jTg4RXwA+ZlZnXTq9WyvenqyUHvr5amOZajckO3XdvGAM+cT4tWb0LA3d/ESfrtnb6fx8KNnx/gNdN6LMPrUpysl61OlUgmVSgVLS0uIoig7G9EmHnR8LC0tZfiJ73m2KoSRQ5N9ejAu/7e8Nq+s4Nc/9Sm0Nm3Cnz/0ELYdP47DU1NtDJ/6Z4RuVP+FsCXzrXk3SyVU6Q3P3qSjpWdbyIEJXlTAr0Hn59iv8LYJ6SvEo6h9Ps2BmRn88B/+Q7w0P5+rU9HuBLWrnl+opOmMD+0Xnv+oPuHNN9+M7f/+36PUbOKv3v1unN2xoy17p994+jnU3oqPWF5M7J/bkSv3Pv00dtIWtDSOcWR6Oic/rpvhN54I5zKZJ4+UR/WngPXJaV5RZJ9ms5ltOeYVuCFfuRc/l0s/VqfVWSM1Gg2sdoIoy8vLude/acOsdV4tawK2tKu0B5UHjxf0UABu1/msH+3o9vnJH/4Qk4cO4bnbb8cZegMKNzJ3EI0Y2yD1HBAe0CF56eD5qccfb9ev8/8d3/ymO8iMWB46K9DLYISUuge8oyjCgbk5xLb0sNXCftnjqYdhhSikDJnXojSegfDqlSQJ3vj887jxy1/GS7feivndu909tpaWX9upMuDr3j1vSWmRYnj3E0+gvLaGZ+66C69t24bH7rsPX37oodyz3H7sTOhsjvLEaU0Jh/hQELK6utoVsLS8+JX12l5efdUB7FOfrhaZ8TZinWs2xwOi9n9tbS0X4LSZ23q93qVTvHL0v+orBcOerlKQ6AEp1ldFgRNeEn4pwQq7fmhyEs1SCa0oQqtUwuHOCwc88OrVV/lRW+wBJs9JCOlMvq+8lMvlrlnvojp7bbYRu9XrvhHrO52d17qxrlb7ErLFykfoOtC9JL1XP+By9ROyxVYf5V/bxLAS9+k4jrG2tpZ7ExDLzcN43lkfRjaDDyA3UVFU9z71aSOkwfg0TVGv17G8vJyzOyHiV52zr8PP8MoRT3cyqX5U34TvlRoN/MqnPoWh5WX82cMP45npaXzl3ntxZO/eHO5VfRXSRzzuVUYhv0z1VKnZxPD8PLb98IdZXroSMoS7mUI6SG0w5xuyWwAwvbCAh7/4RdQ3b8Zf7tyZYQL72AIHPdpgI3ZR5aI+aqi+HobWtAMDA9hXr+OGr30N37nrLry2dWvXubTMi9e+nly5rF5+ENel2WxiYm4O7/mbv0EEZG8de+quuzBP+MLy534YekmUVwf+1oUkKie+pm/1YpkweZM2nJ5l421/vlz6sVj5ExrcZtjNYfW2qZjAOPoKrAcSgN6zhuxgekpQ+bLvfceO4d1/8zdIAdzxrW/hW+PjOLxnT8Y7sL69S4MGnLf91oM57boCM6/DWXlDHSfEaKjzqlPd3qUdUWf1vICX/mbeNQ/PaTo0OYlmuYy41UKrVMKhzgA2Ci0PvVRSXrk+XroQ+J2en8f7PvtZIE1x4Ic/xORdd3W9zjKk/FgmRrr0PdSvLKKshsz6yJ5Tp3D3E0/g5be/HZ+8//71tpX8uM0ZLOtSS68/2D3jWWdFtO3Z+BQZL+ODgbUne16ppOcQ9alPV0pRFLnL3K2f8jJufsbSqt2xcaLgNeRUe/rDygg52gpGNwK6jNi2hGbCVC+EljV7+c9PTuJ3H34YB+bmcKizTDxCt63iPFQ2KuuQvvZ4D9kp1U+ezte3HRbhhVC5Rem0b2k9ip7vZWM0ndYV6N4awKtDQzggVG5RG+iWXl21ZH1KJwG0DsYLT5p5cvX+h8ar8sETGswLnx+pwZ8+9elKyNNL9m2Hz3rBH0tvDq6uNNFJUy9gyx8eI7q1XnlMkgRIEnzoS1/C6Pw8Pv9rv4aXRkaQBHYk6G/dRsm6Qe2L2grmVfOfWljA6KuvIgLw/v/wH3D6gx90tyaFcKrHt25J0mCQ5RvHcdZOKs+phQX8+sc/jlKziWYcY+uRI7g4MZHTu2maZm8VBNbPeLH2YqwesreWjuWp/iXjdbb/li9jjSiKcN1112Hvv/t3WKtU8Lf3319YLgBXhyZJEtzypWntt+fTWxvc+tJL2dm5KYAkjvH07bdnsjR75a2wsfy5HbkNNA0Hj9jf8XYFaT/hfIpwjbca28Zeq9XqWm16Of6v0TUf/OFOq8qKl215kUsT8urqqvvGIC3HAy4eCNFGDgH4G2dmgDRFBKDUamH/3ByOjo5m/HoKhEGQ5ukFT7QThYBj1oEHB1HpvD4dAE5t3x7cOuYZA/uvyz51RQ07Csy3l6cNrJmxMfwOOQhH9+5F7Ch8IP/WDo9CMrDnQ8EK41fz8YzQjUePtgMqWF+pZMEfpsHBQaysrAQVjtVH+eSVXsYX9wtXxkmC9/7t36K1aRM+8xM/4RrIon5rbWsgPLTyxpMVK3aVsxnFUN9lWXjy17JtS469mlHz61OfroQ8Hc/gwd56p3aFQVOj0QieEeLpAB2P7AR7gSDllfPw+NdymYpshz7HOiekT3Q8p2mKI3v34sjeve3nJR3PnjFoY31njo3m7elI5ptBl10LpfNkpPLkN3z2kp3aFQ+DaEAlhCc0+KH3tNzBwUGsdlYbqyzsP8tTZWL56sQP18vrk57N8WSquMIm8BhPhGwxy8FzBlmunpw8m6H9RH9rHXU1UZ/6dCXEzjrQHeSwIy5C/S1JkpyvE9IVTIyhPV3uYXgdtx/56ldx+wsv4MWHHsI3duwAnDeIKW71dIanGzzb5/kQKq93f/3r2WqQUuf/bz/ySFdZqlPYL2AMzr4Lp1M9wqsz+J4FV26dnUVsb3VO0/aB+J0FAVpf5sGwbqh/hOqk8tY21eMnTN+rfKvVKl63tISJ734XX3rzm7E0PNyVHwAMDw9nK9U0uM+Bfc8H4PxU96o80WnXm44ebdclipBGET7TOXg6wnrQpGhngI2VZrPZFSjiskN9U/P37ESR38PPqG2yayYztjdXw+Zc8bavKIpKURQ9HUXRZzv/r4ui6DtRFB2MougTURRVO9drnf8HO/f3bST/NF3fugXkD3pl8lbNGDUaja6OYwL1lrzrsmHNT9N7oAgAXt63D2vlcrbU/VAnwut9PB4sP++38hECq5zm5sVFDHQCPynaA+Yvf/InszQ84DTwYGn0bBiPHwayLGdPOWmdZ8bG8Oh997ln/Vi7WL5Fg3oj5C019IJYntGJoggv79+fb19ZqQS05ThMitLy9oA4y9CucZ35mq76sXuve+EFTB89ih984AM4GwDsof+WX+iV657jYnXgQKzxyBFr+7DcTT6hPO03G2AjO6PBFGL/0Oc+XU3ygBP/5pWjnJ6vsd2xNLp6hu+pfi9ylvV5TR9FUXbgNIO9jdQ3dM8DHiHnWO2ArixVnj19oPIyYnCq2/N4Ra3qWC+Q7dUn5FSYfuu19NpztkKy1+C5yof59fpYiEqlEjZv3lyY3urD/9m5YdvD+pz5CskhhGu4LA9b2MeC+3ZOnOYZKtsrVycx2K7ytTRNs3K9QBjbInYYLqVd+tSnEDFeBrrfSMQ6OtTXzOYoXivSebpCA8jj39AKkn3Hj+P//Fd/hbueeQYpgAOPPYYDp05l+bCeNv3Bqzb4KA5+hsthvaM40O6rDYmiCJMdPozGT57skpUXYLB8jdQ3YLujMmM94ulxALj+woV2vh2f4SD5hCo39lXX1ta69BH7qBo4UF9FSfGGp0+5PpMTE5j6D/8BF4aH8Y177unCPjbxOzAw0CUXlmMRP5ZOfTyPxzRN8ZbHH8fuEyfwzHvfi6+87W34vY98BE/efXeuPM/nsj6lvk6lUgGQx3Y8bjz8VSRHD9NpO3M7MgZi2Rk/LBdPxpdKV2Plzz8B8CKAzZ3//zuAf5um6cejKPptAL8K4P/ofJ9N0/T6KIoe6aT7QK/MTTnwQLcT8C0qZoNROzB3NjbcAHKKiMlz+kNgnfNWxRxFEY6OjuJ3H34YNyws4OWxMcyOjQFJ8av79H9IQXnOgFdP61jlKMLf/8pXsLplC/7kp34KkydP4uDEhHvoJtfDaw/+1qim1iuUh9aLZan19pQqb33i8vkay0SDCXpfnTIDgFauDkhu3wPz8zg8OdkVsLJnT58+7fYzbTeWJ8tY25155PS1eh0/8+ijWLz5ZnxxYgLonGsVmnFmPjiAk8uzVssOaNZlk1wnvuctEeZ252esPM+Z9rbVFBmoPvXpapLpTu9wQHvVOwB3TDAAL5VKKJfL2SSGGvtQIL0oYFAUdFFeWGeGyLMxqju9cjitysPjSXnW/A1E8n0FTwq+VTYaECqym0W8KGkdPF3k1UVtWsjGqx2yPPmbf6t+1f+nT5/O8Reqm1cPraPW3eyv5t+LT6/ePE4sXbVazexOL8wTuuddZ/70de9GvPraw3jA+nZjDxP2qU+XSzxBZrrMxputci56U5L1VQsc6VERrH88XW+/+dvD8tefOoVf/8QnELda7bcsob27YeLgQby8Y0duBZ+H041fu6bBgY3oKpOLjWOTXSmOUVZb6ryKnevm7bRQnaxB4aLAFOdt9MbXXsPEM8/g6TvuwPGtW3Go43/BaY8c785KHD2AO6SnPGys7Wz8e/bH7v3EiRPY/uKL+OQ734lGpZId8KxY5OzZs0F7V4RBrGyVIz/D7TF57BgeevxxnPzJn8Rn7r47d/RDCH9YXfia1duC/rxDg/PqZQ80XUjecRxnb+Tz8vHwhY1jnnS6Gv7OFQV/oiiaAPAeAP8awP8YtTl/CMCHOkn+E4D/K9rBn/d2fgPAfwHwH6IoitIetYii9gwLL/m2VQQMqEMDF0Buab6dsM33uQOH9ptrA4UArXauo6Oj61uBBMSElJwOGEvnzUZ5zzLflsc7Dh/G1ldewcff+168sm8fXtm3r6uOngJk6tXhuDN7g0RlxLPBoai2ztYWOfoGINmgKO/KF+fnyUNXhmnZM2Nj2etsPSqVStnMRhEw9PL3jLA+w/f+T3/7txi5cAFfec97sETL/UMGj59n+XMUf3V1NTc+VCahcVHkoBoPqhRZQVseBmRCQMV0Q6++26c+XQpZ/7PfHGiN4zhbeebpWwaLALKxpPpI+ysHUD3HWQGMkecQp2maHUrN10J6Xm0Z63G975XtfSs41fI86uXAKzhV+Xj8erqf/4f4Kaqz13Y6+xdqJ7Y33F/UbirvHj8hOeo2gSK5qGzUKfBWJxWteOF6eDx67Wfp4jjGwMAA6vV6bouAt9qb8+ZglGd3QhNuKuei1XFsM3ls9alPV4ssoMj90fAYv9hGdTRPSli/1C34RT6NkWEtnmxnnyaOY4xu3YoPfepTiCn4mwC5lSyeA606QfWwZy9UV9g453z4hTitVgvvOnQIpU5Qymr47TvuWOdVJghUDxbZSfXNvEkGz84Mra3h7332szizdy/+/Kd+CmuWN+VvOo4na6Oo+43OOknLaYtsbog8LMDPjwwM4MY/+iOc2rED37vjji4dqT6q8m91Y/nbtZBfq/2EJ1Fqa2v40Oc/j8auXfjzt74VDTnHlnnydkhwGsub36rHPPDiErUZdg4X94eiOrDPYmNTfR+PLFjEAeGr4etc6bav/zeAf4722AeAHQDOpWlqp5LNA7DlEOMA5gCgc/98J30hpWnaNWOqRthblcA0ODiYy8dL5wUDjLgTc3p+zpvRBfw3qnhgXRWjdQqOhLJCVOWoip1XrWxZWcGDX/wi5m+6CX934IALfqMoCp5PEaJQBzZ+NSjHAJ7lZ/+Z55Bx0lldy0OfDx2IzOlVbt7/EFC1/96gZzKDfSmK2MtP+43K9c7nn8dt3/8+UgBv+Yu/wGTn9ZH20VU0ajR4TJhza2/VY/mp4lcZcJ+1PmUrH1RWvKzXDrjTPu/JTp2jS+23fepTL0rT9RWn2YyiLBH2dDnT4OAggPabv3QVg5Xh6R+2F3oP8O1FKN8Q8Ddi/b8RQFGURpf2e3wpmSy9+/os6zLmXW2r2hPmL8Qbl9PLJniOjGf7OT91KjSvovJCjhDXmfMHuu2OAnrOh5/TsjwQz3rdA+3eJ0Tcz21W1F6Fy3zoJIxiF8VLyo/Wz8a3NxaA/JmAimsMd3orzPrUpyshfUMQ43J7K5QGdYyiKEKtVst8HV65aulVT4X0Hd+3MTU0NIQ3T03hV/7wDzFy6BBacYxWFKFZKuHbd96J3/6FX8DR0dHc87YyR3Ehl8P11Ym/IqzOdTK7M33mDN766U/j0C234KtvfCNe27oVX73nHnzuLW/J6WJeEBCygaxzdJWgBvp1dQ5PXqdpivd/+9sYOHMGH33HO9YDPwHy7LryyOV7PmaoPT2d7OlHpnfMzmJodhZ/85a3gI8bV1tsW9O0jVkeXAYHipjXkBzML/mFxx/H1tOn8TePPIKT9XrWHmwDzD6FyMaRbSteXV3NDlPmfufZFCXPh/bka36pt+PIs08sY5Mz73q6UrrslT9RFP0sgFNpmj4ZRdHbrpiT9Xx/A8BvAMjOLGBFBuSX2NUp6uc546YQjfjNHaoAi7ar8HXvPgO8EJhj55rzLJfLPZWdRYV5wFl9dCWN1v/vf+c7KDUa+MRb3wpEERAAvjybpYBHr4UUjAImrnNIHvbbW3IYckq8zq/15qCgF7RQpaht5ylEb2AXkdcfivjWfBXg6qn11m92v/ZaOx06h4vPzrYPPiP5Ku9pmmZ9z8gU58WLFzNlqDNNRTKp1WrZaiEu1yL3qqRD+ei3Jx/LT7eM9alPl0psdywY0Wg0slka019xHGev/vaIx0e1Ws2uGagPbUeycdYr6BPgPUun+sID93bflhNzGZyPB8R0MkLBsObh8ankzeSGVnqo/lK7G9JRanPUznF+AAqBo86+ec5Dr7ZS3jxQzs94dnAjtkXJ6yO9+PAmdopWs3q2lPNI0xSVSiWHN2yMnT9/vnCriv3XcVSpVHKOMzufWl+zPXqPnQYeq4qBzNn08ELfDvVpo+TZHAvwWD/i865sIq5Iz5ivE0VRNkY5KMCBAvY3vKAQsL5iY8+ePXh7uYzb/qf/CVGjgT983/uwPDCAA3NzODw1hSN797bHTIcPXv1h+ZXLZVSr1cxn83Q2b/3h8s0emNOuh1THcYxao4Ff/Nzn0NiyBX/60ENYHBjA59/61nbdRX8ojrYy1B54K4RCPpqlV5/spqNHccd3v4vvPfQQju7enfEQCgB41zxdY+WFAgce5vco5POlaYrhNMXdn/kM5qan8dz+/bn7jOXZFqtcmc+QnWN5qH213xNzc3jr88/jliefxNPvfjeeHB5GJM+rT+GtHmWb02q1sLS0lPP9e+1asOu1Wg31er2rr/MY5WCY5+t4stB2HRgYyGzuRtpzo3Ql274eAPD3oij6GQADaJ/581sAtkZRVE7bq3smACx00i8AmAQwH0VRGcAWAKc10zRNfxfA7wLA8PBwCiB35g9HkgFkwg8BoyiKsqWQvFzOADw/q/89UM2kHcRbRuil5Qa0unCZXC6X7QFiVuDK977jx3Hvc8/h1h/8AE/97M/ixObNQADYe8qM/zMfqgT1eQZOun3LGyTaXlwGAz+NKiuZfFRORUrQUzK92ltlxvdCStrLr4gvVSBGvNqKn3v5+uvxwHe+g1KrhVaphMNTUy7vrNgVRKRp20nltxVo+7NsPeBry/WVP166WqRQbfbXwDzLQceb6YTVztlGferT5RLbnaGhoRRAtlrHgHkUra94MJBgr3v2dIEdfqgOJ19j4G3XezmRRfc9Pc08MQhTUh2hK/D4P5eltkdtSOia5cH6hAEg18HTWwrW2XHQrUpsm1VGnh7W62qHmVd2TFguXlt6OrfIpumzoXsh+8nktbvq1SJ75PEQoiK+rVy2a81mExcvXszxzUv9+beXJ5/54NXFfisY5+u1Wi1ztr3JKktnZFs/PVn3qU+9SG1OmqZYWVmxezn9AqyvClLnmPunvn2St8yrnuYAkKXRCdgoijA2OoqfmZvDgd/6LZzeuhV/8vDDeHXHDqRpuj7BSK+gZx2kAVZb4e3pGnai+fgGraPdz/l9aYpf+MpXsPX0afzVf//fY6lcRurUxfKy+rM9DE286JuBQ1tDvTwG6nW8/0tfwtLUFD71+tfn8lUdppOwXG+tg20DZBkqjghtAfN8PM//jKII7/z+91E7cwaffc97EEkw3HxX3pKoPqjJVwPpITvlTY7FcYyJuTn86sc+hnKziTSK8OSuXV322CP2VzRv29mg8vFk5snGArW6+tXqVWR/TG68MIX9T5YLy1Dt3JXQZQd/0jT9VwD+FQBEUfQ2AP80TdMPR1H0FwB+AcDHAfwygE91Hvl05/8TnftfTTdoNW3lj4FtHvQmDE8RMnAIHe7ndT4Fcbzyga/z7yJQZfxoeZanns2gnYlnQlUpKBC1fPYdP47f+PM/R6XZRArgqS1bungOEQNXTe8BTpYdGxXOh/lksGxKRGWidfJkrHkzDwwWWfFoVNerWy/wq7L2nD8LXhTJ2KuvFylm483EvC9MTeGPPvxhXDczgyPT05jvvO7Q6+/8n19ZaWl1NQAfLuc5hMwjzwh75aoy5Pv2rcEjb0xzO9dqtaBB7lOfLpUYTNn5crbcFug+S0F1II8bHls2XryZstAsmupABgdFeipkWvl5rxzV21x2yOaFVlWyPPga88LPhMa85dMrSOY56WqDvTJDvIdkyTx59VDyytUyVLZFeaod4zqbrubVM5oupL897GE8MT8qZy94p/JXfu0MRx4PugIsVHflxbPjHtbx2pvzWVtbQ7Va7drCwcRAfIPwtU996knWN83X4W0r1h91MszTITq5wHaFV7t4q1l0IjyKImwfGcEjjz6KvZ/5DF48cAAf/9mfxSqtLjLSYIyOaQ7mhMagVy+eIDG+eTWHpbnnuefw+hdewEsf/jD+bnAQaaPh6seQ/vfGchGf7MOoPjd7PzE3h59/9FFsunABn/z1X0e9XVBOPp7/5tlgI9ZLqqv1Wf6vON1kGrINcRxjy+oq7nv8cRy+6y4cHR1FTM8z/tagik78e7aY+VLMxNjE6IaFBZSbTURonzEzNTeHozTB7bUv82C/WXaejWAePArZlqJ0Hpn81UfUPqX8qq9TVEYvuhpv+1L6FwA+HkXR/wLgaQB/0Ln+BwD+NIqigwDOAHhkI5lZtIsFzjOo3l5wVYq8XFAHneXFrxvkPHT7Cndar5FYsSp5QEaVudbDBpjJgp9VBcj3DszPrw+WKML43BwOTkx0RZc9BcD1NfLAfAhMh/jk/D3FxWk5X3a2VIYhBejJOyRfpdC1kEOiSoeDIJxe28zbxsd9UssF1g9j5vytzPnJScxPTrbLo1kUy48DbiqPNE2z/a/NZrNLKenMuV3TvqMGnsepN+70WQMMAHKGxVPGaZqi0Wh0HZJ4JQqxT30CkO0H58C/XQPCgQQd30B+6TqDPV6+7o0j+808FPVtHitFetDLg8G551zrmFZgovZBA8ZAdwBAA8rMh8er6huun4KtIptWJJvQNbXPOknE/72yvTYIAf4QD/ystzJFQWFR3Tx+eJWA1s/408CI9hmdaeV+oDqanymXy9k2y1D7e7yHAnAhrGXPcJ/hlXxsl9QBYWJbFTpro099uhTiwIaR9U+vL6q+4LGl2EmDKLxKkvEW+zd3zs7ifV/5CgZOnsRX778fX37zm5EU6KdeuvlSsDd/s/7QoymiKMLEhQt431e+grOvfz0+ceAAmisrXWPYCzKzHlD7xVhV5ev5Acrz5Pw8fvMTn0C51UISx3j15ElEe/e6elvL82yJXee3i3Gbsk0weekE+EZ9OLv3niefRKlex2fe9CZXD5uu1y2watdVX7M98WyO+XsWrGy1Wohuuw346leRAmiWSji6b1+uDCN+81sRnonjOJug1y2EWseQT8/9kP9rXe2eNxZYFmYHNR9LY2fhhXy4S6WrEvxJ0/RrAL7W+X0YwL1OmlUA77+UfE0g5txZJy/ajy9lAuiOplne9h06W8ADIZ5C4MbUPYbMAw82VTw6ePm/8uLNpmpHOzI1hWa5jHKrhWaphMOTk1k6kw0rQJWbdtDQALbyQmCb73uDUZWbgkuVsdd+3I4KXLlOCmi1vfW/DsxeM4Janl3nPuYBVy7Prus9lR/zoY4bAwbl0Z7VexaFXltbywWBuKwQEA7JkdtGr9tHjTSPF17pxjJlY85g6WooxD71CWj3UdvuZQFXDWyExpKCOv7NAJz7roJz1RNF49/jnfUd62O2Kawv+bkiXau2ga/zf+9bdSQf1K76K1Svov96rUjHK09qz5gnk1UILNs1ff2ux4PHj2fvOG8Nmnl63cvba8MiPtjO2X8LULJ8PMzAfULvFwVTkiTJAvj8euoQeW3E94omnixNL3kqQGc5Wp/1DnzuU58ul2zs6YGwiuvV91F9FNI3HuaybxtzPBk8NT+PRz72MSBN0YxjvLh/P9I4BgL6uQjzh17I4dk5PiaCbR3Lgst68Lnn8O5HH0Uax/iDt78dy50DgD2eWM6eP+NhVM8+8v+Qrds/N4eYglb7Z2eztz57WJrbhvnw/CFL59ln1nmKKdS2ezraru06dw53fuc7ePEtb8GprVsRp93nphattvf8W483tQ0q91arhVqthlteew1pFOGJ++/H8zfeiNnxcVf/snw4yKeYid8Ybv1f25frwnhqI9iL/3tBMCb1xb06xXF8yS8P6kU/ipU/V51WVlayZcIAcp3ZAkN6yrYqTAUeDDZDYIA7kYIKzcNTUNqhuWMUAXm9HgKx3nNGcxMT+P1HHsH+2Vkcmpzseh258u2V0ws4qsx6gfMipWz/Vblr/ponp9FgAMvcA54hPrRML7Kv+Xj9jutSFDn2ZMB1skCI1+9Cxod50HyL2tzK4RVN3jLDUN/zgIgqQx6raiSsLFbcvI9dFaXXrn3q05WS9ee1tbXcKiBgXc8wSPf0EgdgdSwahfSCjhkvTZEu1DRFAYaQbg2tZvGI8/YCICHQWWTDrpRCcvPk5AFptdWejLz/Xp1063joecUegB9s6QVALc1GgxNeuUB+0qrXCrQie6Z4xpMFjxd2WjbS94rsbOgZr+72P4ra56foRBKnYdn0qU9XgxYXF3MvGbC+Z84q0H0elX3iOHZ9HV1Nx6R93/DmdbOzSIH2Vp80xf65udwLRDwK2ZBe5OFZ9U34vtmX+559Fu/5whcQAUgBXPf883j1da9z+eKyPL3o2aAi3dyLDk9OolkquWdwhmy76V7WlaGJ7BDu9fC+d52DLkDeb52cn8f7v/xlJKUSPvfGN3b5r5xHiA9PnkWTz1p39j1u3rsXu//X/xXP33YbvvRTP9XOS2yI8qa229JoP7egislDtxQqHujV9oqlOB+d7OL8cudXOXly3lfL37nmgz9pur7Ur9ls5kA3vwWsqAOqk2hL1ey357zr88oTDwZOoys8dACqE6/fqgD5OndQrpMGnOx7ZmwsizYj0GEU8Gj9daBqmhBw0t9FZXNenqJjPrzytS30mVCeWiftB96qFC0HyG9n4H4Qcgy8uvM1BvuWnmdEeYZGn1WjaX2u6PWgCvw3cqiY8u8FUNlhsGds7PFhcar4eo0laycDNfrGsj716WqQvuqdlzhb3yuyPzaOeWuI6RW1A6qrPCOv+sbTW5wupJt5XPGW6BDI5Ge9/IrAiGcH9b7aLi4/ZHtDFALWnh3hOqrMmLdQ/pzOAvRMvVaY6DUPdHIw3rN91p8UnDMPvRwwrw+pzmZ5qI30ZOfVv6ivsN3ZiJ0MtZO39U37sB6KqzJYW1vLzvhKkvVD3bks26LG9d6Ic9CnPhWRHfis49Z8H29ceE6t2aY0Xd+ayI4tj01eaWfXD0nw4ojzAhHVpZ7uUizba2xbOkurqwD52XsPH87du/2ll/BdJ/jj4X0vP8X5RTyGyPKbHR/PTb7Pjo4CDh+qsz0cEAqaeLZJd414+tY7bsL05uT8PH7tox9FudVCK46x6dVXca6zcKCXb2PEO1hCK/c5nYdlLM3w8DDuffpplFdW8I377stNSls/ZjxlvoXloRP3THEcY3V11bWPKmdvAsaru1dP81E8n5R3hnh+n+Vv4z+0BfRy6JoP/gDrp9wr2PGWBnqNpsv0gfUIHw+S0Iyldg6vUyuYV7DGg1kdcQ+Mcllcjgdivc6m9bCytVNxXTznowiwec6Fyi4ElnvlpfeKnAdgvU14mbryos9wmaEBbKQReQ+Me3l4ilJ58uSoBkiVBb+Ri8vy+DEAoNtHtJ76il2+b/lzHl6dldTQmhxtJsuWXvL4brVaaDQa2baborK87WF96tOVkjl4Nvtv11jfAOEJAtvCokv4+Vkuqxeo88Af583nlvBzDJZ47CrY8Lalerx4Ol1BYZFd8K7x/5DeC13zgLqn+716Fdk2b5LGy5PtDgeAerUn88uy8QCy6mCtN4N5teFal1DAg9N58tS+whNRzD/nrX1TsQvXM4RzlELOkydny1fPDOQXCrDMkiTB4uIiAGBoaKirT3L9bTtCqNw+9elSyPqfTXSrHtHxoc+GggQ2McaT5qrzLQ/DXqVSCXMTE/i9D3wA++fmcGRqCrPj47myPJ+DbQh/NJ2lMVI9zHxy8JupXC6jPDmJ6OWXYU8+e+ONblleIKTIL/HSFeF1fcbqMzM2lskthJLVpvOh3MqTthcfzaD6lfuP2j/uUyqH62ZnUTKdnqbYNzPTPuxZsEvIJ+Pr3hY21rue7Ph3HMe4cXoau//Nv8HB667D8b17M/2t+amvw+PB/CW2a95xER4PzHtRIKlIDknSPlLDcIKmsdXlfJ37gNmw0DlGl0vXdPCHFZIJwOvM3Jk8J5+DRXadO36RUghtedGItBcZDAWTGGzoYA3xode8wc2DThW9p7zYEVdAGaoDU2gQeDJU59wDt3o/FGQoAuxeYLCXQ1NEanz1WQ/Maplcj1CgQg2mlaeBudBscijIZHmocfbq6LWFVz993vpbL9Ktk7yVs1KpZNFxfjufZyQsjSnVPvXpR0Grq6s5h173bofOm+K92zbuLA8DIQzSi8BGSFeFnvH0AAPooskEtZGeXuilO7U+IUeF03lOPN8LyaFI5+l9tSO9ZtBC+tvT8/xGm5DN92TBabxyuRy9b3Lh8nRFWC+ydLy9zMrjvBXQM7bQtmbAXRR88pybkAxUHmwnvf6lOFHLttU8ALLz7bj+ReUyZtIJxT716UooSRJUq9WuNxpbH65Wq12+D1MoUKBjgMe4pbfyOY/Z8XHMjo932QUjb7yzvlO7URQsYT9I683P2L3BwUGMnDiBC5s24fiOHXj2hhvwnTvvRCQ41/Mj7L6+lEB9KpZj0RZo1YGcju+FVrlzWWyni3weteW9ZFzkT/Izhycn0SyX17erdc6K5bp5Pqenb0O+m6XhSRP2BSzd4OAgXvfccxg4exbfePe7s7x4pY+2hVe25x97cvHsmabXPlVkqzx+gPzbx7kML09r51KphHq9Xnge3qXSNR38AdYjnGaggXwDeFHdkIJkYduS3dBqBw8E2z1toDiOs4+efF4ExDwl7M0Oa8cIAWEuzwPr3nOh9J7S1uV8+qyW4wUFQopTZer99pSO1qMoCBGqf1F6736obAW9mp77awi4xnGcRfSB8NJ5DeiE6sVyCR28x+Vb2zLI1/yA9T5ZFA1XRc8yYEfayuJVQDybXUSmHPsAvE9Xk9I0xerqKjZv3ozl5eXMDhXpHwBdupz1QavVQr1e73rG0wMhZ1kpiqKuVSdsKzZqh1THeI6z6voi/pXH0CRKL/AW4jNk10I2hP8XySJEIdDH1/gNjBuxu/pbdW3I3rNdVRwS0te99L4BcWvjkLPH5Xu2yZNxrz6sfBYF9dT+eA6Jd59tDY9LA9OGL9lWhuRmzzFe61Ofrgbx9hB2jqOo/ZrnIr8mTdffaKxbathOhJ73nFyg2+cxvmxHhhH7PxwUsjReEFj1WxHms/wB4JY0xcjzz+Ozb387HnvjGwuxqwYKWH8ZedvLPKzO+klXOnG9tF1MZ3j3rTwu29JpGV6bqE0K+R/eNX12dnwcv/fII7hudja34kt1IstG+5S3EtULEpqvYyusub4AcG+zidHf+i28tn07jhw4kKu3pe21HcvK5FVSzCfQbU/VX2PePfkaX7zCmsvRQ9ptAtDyaTab2cHTGs9gWfN4Utt6OXRNB3+s4iYYO9zZKry2tta179p+a0PZoZ0seMufBxoDHAYtKnAFWtyYzL9980yuDmherWK8a4ez9DyY7BkP/Kuy0LIZAIUCMEVtovJVWRh5gzMEjBVchxws/c2KMAR+WX6q8JR//e7l8OhgV6WnddC+pPnr+RvGa5Gx4dlbnd1XBabKWRWOFxDlMjlPfs57Uws7FJ4suB78m7epaRsa7/2VP336UVEURdlrQK0fViqVTIeura311BGmmw0sW79dXV3t0pEaHPGADfd7thN2jccX5+nZEtZB/IyeK6akDgLXn781KMyAz/57dpTr2QtwbYSKdH0vG9Arr16/Fez2Kp+pVCoFl/Sz/fcwgkchXo2sj7LuZ+ygMuD/ITDslWfpeWVuiKcim17UFiEcFiLGS2xPvee4DRhPbaScPvUpRFEUZZPcnh5tNpvZGaeeM89peTLaJtNY/+q4CflOXt5GZieK9Cf7PB5m7UWMK63eZkd/4sUX0YpjPH3bbV1jVnWujm2ul+o6Ht/6XKgeqg9Zp3n1YX51h4byF8rHq6fy4H17/OhzvF1N03tvmwO6d8h4k8KqZ6Mo6gp42PWphQW86Q/+AHFnS9TkwgJmx8dz5eh2Xv7NeEj7gaezQ0EXD+N4cg7Ze8Y5WianDeVtxAsvdMxdrt25poM/27Ztw3vf+14MDg6iVqtl77jnt34xCPLIWyGhzqg3CLgzMSjmNPacDWDer1sEipg3DRyogrGytGyNrPNzoVVAyjt3/F7A1+PFA2Za11BH1Wc9han8bwRkFpXv1SPUby4lv5CSB9DlgDFpEIbry30opKAA5FYJcd28/m5lWv7qYLIh8g4V99qSwUionTgYpvxwelaGvVaMeaCjT326GrR161a85z3vwYEDB7re9NhsNjMgXqQry+UyWq1WbrJBZ4aK9CHgrzL10nhBAk6rz3ozmp4N8ca7Z69C+Su/oTGsgMnjW8v15KYUArtF4GkjQCrkfHm8hdKH8rJ28GTBOtzagvGNBzyLcA6XUbSCkoGnycuCU94qYO2D3H5sDz0+tN5af2/SgesdqquXP9ta+61BXf7m3yGeLxeI9+m/btqzZw/+8T/+x9i8eXPX21CB9bNgdGKQ+5uNMfNVWJ+ro2nPan/2dJbqEw38hGwU//f8NK2Ht4WVn7Nr43v2YM/v/R5eOnAAi0NDOUdfxyrzyKtXlELP6W9N6415raf6kkA4uOw9o7IK8cxlKxYoap+N2Cm777W55q39TomDgp7vkKYp9h09iqgzsRslCa6bmcGx6encZK9nZyx/zjO0e0LzCfVNr44h3KG2gG2M1+bsQ/XCMbxV7Gr4PNd08Gf37t345//8nyNNU6ysrODixYtZw5pzOjg4iGq1GuxwBlJsj3ZIUYQE6nWKImDhDTwjPVvHGl2BUWhpJv9WoKYdkoG4bt/RQcLOP4NsC3p5S/y4E6ritmeL+LqUwec97yk7jy99Xnn05MjkGTbPaHp14edYjhp51tl266sqQ49YubBcWE7e9i1Lw4oyFDAynhWMqCLy2pZXTnDenKfl5S3bDSk5PW8lVMc+9elSae/evfiX//JfAgDOnj2bnf1j49IACL8FSCmO49xMLQMQHTOqDzaiK4Hurb4eYPR0s4Ijvq66hkGavjghpAPVAbfxrDKw61wf062qz7wXNHjfGgBhUjvj2YpeOqRID4dskeZrgcEi8oC22h5tV9WXWjbL1LPP1sd1xlO3OWjAx8MrapO8PuhhE627tpdnr9VOGakDp7PGjNmsTFuC7wXCFLsVBcz61KdLoa1bt+KRRx5BmqZYXFzM+iTrzoGBgWz1qep2C2ysrKzkfB0eH7w7wNLbPfOTmEKYPITpvXHG+FR1M39rMED1DvPx4PIyqmfO4LsPPpgLdFm9mHdvEkN/sy5imehqWpY55+9NpjDZc+xbhWywx6de8+y8XfeCA1EU5VaS9ipH77OtYL57+UGevVWfyD6q+w9OTOD+ztlDSamEo/v2ZcFPm3Qw3tgeMuYwYlzD/OiiB6sfLy5hvrkvqj/O6fhAaiPP3qRpmttuHGoX6zu9fKJLpWs6+GOdFlhflszC547pvaoWaAN0WzEErHdm63R8XRXD1q1bceHCha6tZXx2ikbBQ0EJzjc0eD0KARB9XhUDd0J7plwud22TUWXhRd/5ng5mjy8NavGHn1ODwIEAVRRcX0+Z62DxlI/y4N3zylXSdlWwqtc9o6C88XUD4BqMU8PmyV6VGZPXJ608faZIxl77FclHo97aNqyMWdFxfl6epqyL2qNPfbpUMgc9TddX1ei4shU9lUqlq6/Z9dXV1ey/znx6INR+b968GRcvXuwC40y9QKPnSHv/lW8lDvoqYPX0C+vwony9/CytFyizNJy3bkVQveK1i5bn2R2vbkV1KQLq3v1e+vJSywzdD/UBj6eQ3VFb6gHQIptRRGp3iuxlEe+90qVpmtsiwN9JkmQOtfHE/5XU+dE+2Kc+XQ6xr6OOJrDeT/WtjuwH6SrwkA5l3GT9d2BgAEtLS+64DvksHob19Irxz6tuPOdd9QzX0743bdqE6UcfxeLQEF7Yty+XHxNPqPN2MA0WaR3tGaPQi30UD2iwwVshyzbPCyywbVO/yMO5TIzJQ7g/hOOLKOQj8X+PrL6Wxlul2mw2c29FZd7mJibwJ7/8y9h39CiOTE9jfnISsZSn/qjnJ3h8sUyBfBDIW53DdWC5ePdUHtyPOY2Voz5U0USKrrRlPi6HrungD5DvuAxQGLQlSfsVnQMDAzlBlkolDA0N4fz58wDWt1mx4BTYM/C0KLrHj5E6qpo2VB/ucN4gYiDklR0CtuqY62wtg7sQyFJgyWWGHBj+z52c20zlrnXX2Uh1AkIyKDJARcqgV+BO8ws5FUXkyddAoyoUS99qtVCtVnOz5eyceH2D+VfDzGm9WXk1eB7wZ+XNBmujhsCMv9ee9p95ZCAUyncjjkKf+nS5pLbHxkCr1cLS0lKX3eHnhoeHcf78+ayP8qwV91sGx3ZteXk5NzHh8aO6ytNZ3tgo0l262iZ0z7NBIb1i11hvFNkcDfpq3fk6Bys4XdEMGes6T3aq31U/eTyFbJJHaboeULQVJiH8oHLw+PJ4VvLayQO4OuupAJl/2zNqJzYiU71W1E/VOQxhCE/udp2dP62/jk8vmKP8K566EgDepz6FiHVDmrZfQNBsNrG8vIxarZZLG8cxarVahmnNqVaH1XOeoyjCysqKy4OOPdYJOv7Yv2Cdxc4910nxpf73dPi9Z85g22OP4fs33IC0XEaE/Nl6qt957JucdDWQ8eX5ch5OZVutq1p1tZDqI5aX5st+j+oVz+kvsveqH/lge/OZFYt7/Hq6zbOR2gfUrwthhWazmfVbxQDzk5NYmJpq50n+hr4pS31Fzy9SDGIUOsNIfT3P3/Haycsr1E6hMrx8rN6cj9cWl0LX/LQFV9JOl7fDm4E2ADx27BhWV1eDUVruWCZEfquQLpG0Mur1ugsk+WA2bRQP4BYBG70fSqvOgpfGnufZWpaFgvsisK/8eACsqL6eclWjwOlZafM1dXa8e70cHE8hcloNCno8an4MGkPbmjiNKg9tH5VVSJ6ebFUpefzaN8sr1E/5moFiTaszG2qYtJ7qSHhKlbe/cRpvWS2DjJDS7FOfrpR0Vghoj49Go4HTp09nEwTcB80+2HVencrAiG0Pz4SandNxVCqVstf92jUFAfxRQGhUBFbsXtHbjkIy4gkHHvchgBICyVYfS8Pjn3UC6xS7z7ojBG5VX3MbqZ4O8efxGroeAnSe/VW+Pf2s9QvJVuvJZ4mE+A3xzNdDM49ef9TrnlwZr6hdVb48G6blWl05j5CcuB3sGbU7TLzC3Pp8qP371KfLITtXLoraK0hNvy4vL2N+fj4L1HB/tr6qK39COJXHUaVSCWKparXa9ZYxTtML0zN/Ol6YP5189DDw9LFjeNd//I+IkwS3HzyIyfn5Ll+HJyntP/tOOlbZvwj5NvzfnjHiQBivRvd2leh/zk/tmF0vsuNF5NUT6J7wDvlWnEb7kdoevu5NHHPempf6hSoDxTPePa2jfXury7wx4+VnvGp/Yv7UXuhY4/vc5vxf5enJyWINumrsSumaX/ljlKbrZw5wsGVtbQ2vvvoqtm3bhlarlbvXarUyIM2NxCfg82wsDwzeA6udwgMFCnS8TsZpvehoKHqpK2JCioAHHpdlgIW3Mnjg1wNVyktIaXgDR+vsyUU7eijQEQKtRQNHlUWo7XQpd1H+KhMdzL1kw4aK89E8vdlplZu+vc7LU3nk5/UZnr3gWSOvH1g+zB/3YY9vz+hzPnZPHU+Vqyr3kGHvU5+ulFj32rJ7u37hwgVEUfutYDwTa33Rxqb1bw4IGfFYYD3M5Xug0fIoAgKejiqyH0w8g6llhHQb19/qYjaZZ0ftOdPHXr20PLUJWg9P9xYFHEL8e+XzPU9vcr29ckLOBaf3dKtXvupirb+XzrOFoXw1P302itoOqR54HrIRXptq2o3Mvnpy536mPAM+uNf7nKetllBZeL91wrBPfbpSsj7NeNQcP3MoT548ic2bN7vbqGxFIY8Hb+LRyrI0RXqLz4nxdJTqY76uAQHLh88/4VfZ27NeYD+OY9xw7BhgE4RJguvn5zE7Pp6zJYYf7ZoFYdQGagBGA2Mh3GrfnAenCQUa+L/qJW57T8dzvioXtYGhOoTSaRtynUOYxPMRuY3Vb9MgPMsA6D5r0GsTWx2kgSLPduk96xOKq4w33XrltbP6bDb2OGag7cv1ZzulZXnji/spbyPUVXdXQj82wZ9yuYxqtYrV1dXsnIU4bu9zrVQq2TXu4AY8PaeTgScrI0tnr5U3YoXKwRN7jlcScVlcjpEqS3XKNZ2R1iUU6CgCpCZL49sAugIsHvRFII8VOlNIYXq8czp9xgN/oQHDZXugs4g/z+Hygnae/JVvBaMeb0oKYlWRKp9RtP46dN4K6TkNyh//1vZR48Iy8Xjg9uHVeJ5sPJAQRW2nWGeluf52DgPLEGjPcnkzSn3q09UiA99AfuWEOYo2M8vELxgAfGec9SuPW16FULTNJgQ0PKed/3s2j8e9N85DwE11stoirhcDJvvvvS44xLveU1Cm+obL5fScX5F96JVO61lkh4rqwWRtEuLLszl8r8jue7Lx2lfrpGWlaXvVG9urEJ9e2R5/Xhl2nWf0vXIA5OyOVy/P7tjMrM7emlPNWM7IAj4W+FLHr099uhLS/qT6M0na5/5Yf+frtkvBWzHDK6q9sciT3PaMjT0PCxbhSPvNARyezOMgRi9fhmURRREOTUyg2TkEuFUq4fDUlIub+b9trTVi59kLfBRhfLWhbMPVVmteIfkxeStM9Dn1h9S26fOeX+jZIW9LURG28OrDOMnkZDLy7LTlVzT5blSv1wttLPdVD4uob8F4RNN5fl+I+FnzxXTccp7lctkNcFrf5UAUY7K1zivvdZt4LwxTRD82wR8Fx9xY5jwy6bI7I+0U2mk4nc66hgCPKi8FxFquV743uDweQ6Tla925I9n/0HlArKQ1/1DdQ84+P891KwK4+oyXfiPPK+8eyPQUmrf/11PMIWCv13oBYSM99b6X4mYH01OqPGY26hgUGeFQ21m6tbW1LqdLZ6EMdHvjiX97EXUjC/o0Gg2USiX3fJQ+9elqUOicKtOfqhfsUD5Lr0Cez2TgV7R7pH2/KBhf9JuveQEL+1Yb64FMvR7i29MdGtww+WwkUKA2tld9PXu6UX1dRB5wZvldCtjXNDzDB+Rn7kN5XYodtWt63oN32LViFH5WAajXNy6FvxAxFtE+yWPBJuPUdnm2nVfu2T3GOwrCmayc1dXVLoezT326WmTBHbYx9n94eDgX/EnT9clo9oF4ckLtFuMuHsuK2SwfPWeV9UIoUGPk+R18z55LkiT39kyvjKOjo/jdhx/G/rk5HJ6cxNzERHZuCY9/9WF420yIH8+PCQVSvHp49QsFS/Sa6TfPtltgxrNlqgdDFLIfVl9v8YOShwNUJiE/WwMaQPfRFrxl3Fs9xVvp1PZwe9t/njzz6mTplP8iP4eJj5jRIJbWV7d/8b1KpeL6L8aL+VQrKytZINPz1y6HfmyCP0Y2mA1I8/5YNf76GjkAmdNYr9cB+MummYpmFrnR1bH1lqfxb3Z+FWRr2fpb03I+nrw8wK0AScsp4sWTkSlV7x4HljbqNHjBPp2VVp5CQQ1tY73Og91zGjz+uEzlSWVsz3r8cj8qijjrodk80xByCENGWuWoslQ+PCCsdffK9/qSzuRaWlu5Z+el2GyUpjewc/r0abz66quZQlxaWgquJOhTny6XzLk0YueQV4Ca7jB7ZKtOre/bli99e5jlyfqRy1aArA46jy1Lw3n1sl8KJrlcfl51XxStrzy0/1YO14vzLwpu6zO9AHMvCgH3IuCkurxI/6tsOW/V0SEcwNfMfm7U5vaql+bNzk9RH1K+dGKMyytyFoquF9VFZRjirVd5Hu7RsQogc47NWeZ0iqmazSbOnj2LkydPZv8XFxcxPDx8SfXsU5+KyGwFkO/Tq6urmd/C93SCjZ1684HUIbXxwasJrL/rGY+6KkQDQTx5zX6N8aZBBnXWuS5enXhMzo6PY25ios2Ho5/tWQ5qeW+CDumFXsS6NFQ22wjVQzrZ7wWhQv4hlxWys3yNMXeRjVU/xNO52i6aD9svT4dbepUj9zHuQ8wTYxnGHJ5PoVsI7TmvP6lNLOKPy+Gx4k2U6cSCfayOvGK8Wq1mq5o4D+Oz0WjgwoULWFxczDDn2bNnsX37dlwpXfPBHx4kjUYjt7oAQPa6OFYm3LjLy8tZA1Wr1ewMIGtU61iqkHQAawdWAG/XLIqnnYb/exHJIoAYcghU4Sp4D+Xh8eopkF6kHZWvcV2Vv6L8+Dmus93XNEWKysvbazflV69pHUN5h3jh+zyLonn2qkcIiHtU5OTos8qjOgm6tzzkaHj5q2Jmp9hmsEyp8cwPH9jJ4MTIHPJ6vY7V1VWsrq72XB3Xpz5dKsVxjLNnz2Z7zu3AZQv82KpTHstRFGVbQ6IoyhzMXtsh1fZ4xADB0w9WjvHO9fDsA+tFL62WbcRgviiNR6r7VP/0opCt0nx6yTLEt/336mLOksrTm8Rh8KmAVvP3Jm82YjNDcmCePcdEcQRfC9lPBqhFeOVScYQ+V1Qnq0evclTGLBNeOWF2h20Mn+fA28CA9upWYH0bQn/VaZ+uNpnN4bNJTa/zSlQj+7+8vJylt8CPjm2gG6+y7QGQw6jGj2cneNeA+iHehKHqU57gU8df+fZ8jJAd8LZrGq718r8U30d5VB1dtIKH7YK3OpjT2kdtrOLgEI+6OsargwZyrHz+Zgr1H7Vr3vNFEw+aL0+C2H3Tz7xKtZfvydd14swjz1Zwvhz0UVI/TtNUq9VsVThP5HPcwTsbMUmS7GVWa2trqNfrWQzjSumaD/4YWUOfP38er776am61jd23bwbTvP/QOhWf02BpzeBzpywaQLq/0Dqh92p4zYN5vRSHVRWWp8RVSXsK2As+aDqvc2kZvfjsNSAuBfB7eary0bSh50ODu6jckIPiyUMNg/5WQ+kZ4JASVeNVREXtFALv2mZsmHWGR1cFsMIqchLU8HFEn5UjA3Ht17b1y8abzpr3qU9Xi+r1Oi5cuIAzZ87kzvsIvXWF+6H1YZ6xAvL91XNmvb7s6R0GTPxckb4KpQs95+kbL09Nq7rTnGzVC6qTi2ym/mYqqpPdDzkOXp09mXg2MLQClYGtpWN7oKT5Fun5ov7BzoVHRe3q1bFXP9hIuo2Q1zYhOW+0v3jOEtsnlpMFehiIK/E5kl5f7lOfrpSiqD25cO7cOZw+fTpnO9T5tH7M1/VAZdY3jOd4ZQXQPVGrjrn6OtrvOb2nF3Tlp5EXKOplc5RC6dXXuRxMrPmrHDSNh929eof+q71R/0bJq7e+ldBLd6nkTbZ79p7LtN96vk6v9lYbyf20CGNYm3vPhHyxXtjCK4vr6I0NxYG8+s4CPOr7eb4hADQajZxfpPK9XOq9rvgaIlv902g0AKw3qB5YZsLUZV82a+MtXTMKDWzO19IwgNClk8yLBxK0DM1T04Y65UZAuQ4i7zwkLx9Vdt4WI++ZjfKvPPKHiRW3yZeNXdGzep+fs37h5VXEa5HR88A9O2iegdClnQxctZ04z1CbqfEuUmheHTQvr+6sZL28Q86JrgTSdHEc57aA8au0mQ/bPqNnfTGPferTlZL1V1s+b0a82WxmM61AfhLBgpJpmg94KBD1xhT/Z9LxyjZF7Q7no0GhUN4b1dHKa8j+eHnxUnwu15OBXePtOHzdK5P1rOavefcCfJ5eCulI+12kd3rZFwWnRe0Rqpt9NGiheWudPArVxXN4tI698uhFvWyPAuBeWIOvaWCMy7AVQeYw6xvNbDwpX/0Vp326mhRFUfb6dV0ZYBMOTHpOCtBeodZrQoyDQ0Bex3m6wfq/2jz97f3n6xxg5QCUZ7/4m/Mt8hUsnfJbxJfdA5A7Q5Z1jqeTmIr0qZYRahfPLqnODpVfVGaR3bqUfPh5bku7HrKboX4DFE8qhPxw7rOGETjoGbJ53Lc9HybULhoz4ACO16a8o8hiFEVjkce2ysImuPnsqqsR0PuxWfkDrJ+mrZE92w+ng4T3cLPAbFaHgyC6YoeJI3Ha2Lo3V4GJbtXhZ3UwaDle5+W89T/zpoNLrxUtn/PK8warKtorcbrNOfJWW4Vkw4EEoPv1xFw3T1ZMOoA9I8RpQ0GwIjCtfUjravc5wOVRqH3UyFlgi88s8fLy2l+Xu3O9vbZiWWlf4THBQVmg+y1xwPoMrBkW3TaTpu2D0MwR78/A9ulqE49x6+s8HlutFs6cOdM1PuytlKZ/ms1mBsTtOQ80aHDI44VXx/E91oMc8CnSISHi8r1Jkl52Re/Zbw72bnScso4M6dpe2wuYd++ep//suraRl4faQSVPN4fSaFkhG1NEns3SFaWeXfWe64ULlNhRLZfL2WTbpfLu8aZ2c6Ny0Tz1nCrFRPz2WLN/nt3hN/r17U6frgZxn7c+zlsUW61Wtr095NBaP7WJinq9nrvG+Jnxk5L6L3yNebXf3n27pv4J/y+aEPAmSzkfLVOxfcieerzwc/rWwNDzIb/Iy9+zAZ6eV2ygtpzLZWzt8cd8mjxC/Om2rJC8tC4h3BKqL18zTKWTV9rnvHx4Bab5FNVqFUtLS8FgvFc/3m3g4SWWj7aXZ58ZMzJuS9P8Kjx7zt5kbOXqqtIkab9d0s5BLepzl0o/Nit/uIIDAwMYHh7OGm7v3r0olUpYW1vDysoKVlZWkCTt0+NHRka6QBt/2++iFQQKRHT5Ma8e0WCQgjCvTp6CtEHgRRg3SkVKi3+HnBGWESsd7XyXC360PuwceHmqTC09gzAFZKqQ9PA6r7zQdb7Xqy1YAeizHHj0wDXXxdJrXfi/AgG+X6TQgfxrbzXfUJ5eH1K5eEAEyL+hrEguZowsCMTbbZIkyVb/2ZLIy+2DfeqTRzy2TG+PjIxg69atqNVqiKII4+PjmZO7srKCRqOBNG1vKx4aGsoBWwtoAutjTnVUSM/bfX3rhwZn7DoHTo3U9nn6jtPy+GX+7P5G7RGPWQ+QcnkhCukjD2Dzt/esl3dRgMl73ptN5nqp3OyAR82zyHaG+oH3jMpDV7PqKjH+HcIgobp7xIBW+0qobgC67A7XxXMCOV9P/kXkyc3Gp9knGy8W+KlUKrmXiQDI3jCpPGyUjz71KUTap5MkwebNm7F79+4sKLl3797MEVxeXsbq6mrmWA4NDWXPMrEN0oAKl2l2w3hJ0xSDg4O5LTuqq1X3hOrCddI0RX4QX/d0lMqP61XkC3hleHVTW8jk1derg6cX+PpGAi6mr9VH8nwAoH3GTK1WC8qpiB+PQm2kPLDOtm8PQ1h6fSGTtplnA3iC3+TSbDaxurraJTvu4zaRrFvQPP613pqv3vPGRgg7sM2xyQTDbVEUoV6v5yb5VldXEUXrLxO5WitNf2xW/nDgZXx8PBPSli1bsHv3bgwODqJarWbRbosMmgHnzuA1qAJABcfAeqRyeHgYFy9ezPjhZf0hYOANVA+867enAEODVJW5Vw8vjZc2dE3Bdij/onQe31yWRriVl14gi5+zNkvTFNVqFXEcZ0oiTVMMDAxkM3l2rQhcezLxqGg2xfJUOSkYV348g6315WtpmmYHU3I9lE8bN8yX3fNm/5knVt7eLATzpisXbCUf52PXbGa10Wig2WxiYGAgl8/y8jKGhoaQpmnXEuc+CO/T1SJenj4xMZEFJ8fHxzE6Oorh4eFsib6NtVKplB0QHdJj7Igbhca22RZ7M4QHuor2gofAq2fzQs9rOvsOgX8tw+OtCExzniqXIkDm1StUVlGeWgdO30sn238O8OnsqPUPWx1jjlGRfee6evjEwHTRs8qPbqm1fqk8cF1YLp6t5plUJe4vKpNewSO2OZxfkYPFdTTbw3LSyTqzJWZ/7IB3AJnDPTg4mMmE+erVdn3q00aI8dTOnTtx8eJFjI+PY3x8HNu2bUOtVsswmx0Gy6vteBVH0XgDkDvsXMdfqVRCtVp1t5oZn2oDiuoSskOaVm1G0aS5OuB83dMrvexjLxvk2QzvuVA+ypOXjvPwdKLXTvabAyPKh9kc9nXM7nh1ClHIDnj3tH9oP7A68uofS6s2TvllHGV88HMe7qpUKlhZWenCX0WBGy6zly9rz/IqWOPJ7JBNKNhZkDZmLRDE9sVwpb1R0iYYr4av82MT/AHy+wdPnz6NoaEhjI+P5zo/sN5ABtrVsedO6C2zKwKSSZJkbxBThRBaoaGdncvzlAqDG08RhmYqlZeiZY9ctnZSjf6HnBdvwCto0wCCRyGHx3574G4jyknbhSPDVn9zpjTPjQywkPFR0kBPkVPS6z/Xp5fTxuVb+3py1Giyl686qhqosrHEytzy0reFhbZ6cTuYAmVgEkVR9gYMfvPFRvZa96lPl0IK1Gy12alTp7Bjx47cPnNLYytz7LqOKXMkFXB4oAXIjwkLhHpOsQJ3ry7efwu0FgFj5tOjkM7U+6oDWRfpCqXQyppeZRfd9+4V6eVQHkV1VIBvdlxfzxzH7bML+e1v/NvjSe0R44dQ3YrIk11IntxmyhPjJ83H6hriU9+UFcJNXKcQFvFsCqfRZxjP6arXtbW1LPhjsuazUey3FyTrU5+ulCyQY6sZLly4gHK5jJtuuikXtAXWdUG5XHZfEW/3bezoJJvaGB4brVYrd6SGZ2M8x5htFPsIOp5ZfwD5la+6xVqPeDDybIXaEN4OzUeBqG7hetp1K0NlatdVFxZNwvTSuV5a5dGTJfuL1r7ei4dslViIlD/dYs7XVZ96utCzk7xQwq7xf04bkn+RH6Ky4XzNd+fdBZ6tVD+e+zivvtaJcU82RtpPLD9bEcy8s52xZwcHB7MJwKtlc34sgj8MEpMkwalTp7C6uorFxUWcPHnSXQrHziFvGQHWG5dX7Xid2X4zH2maZkEErzNyHtrB7bcqYi8A5HVK7oRabtFAY15Vpl5ai0xyOivbC3opmOJnrJ4akQ5F81VGXLcQSO9VN37W+oQ6PZ7S1zw4nxAo5bJDSqCo3fQ5z+Byv2UevPw8xaZ15fZmvrS/cUCRy/LAuOcwsqz4WTP26tSkaYqRkZGuOlUqFezatQtbtmzB9u3bMTg4mNtW0ac+XU2ygOOpU6eywP+hQ4ewb9++nCEH2rqTJyO0Pys4tb6vs1dAfixZ3kasF3o5yZ6+KbJdnDYUfAjZPE8/e+XyNQaxHCzg++pghOrPjgs7EZ7dCQFwrcPl2B3Ox+xOHMe517R67W+kYNpznOy6rspRJ0F5VJDs2V6VkT6r90I2syhA4gUyQ/l5K4+8vDy749WDf/PHyvLKK5VK2LlzJ4aHh7Fz506sra25r97uU58uh9RGNJtNnDx5MttlcOrUqZy9UV+HfQodm+yUMuZi38nTrTYxGFrVrf89O2T/NSDhBRZY/yg/Zgd4ctpz1IvIeOBVgPacjnlvxaf6RR6eZtysddFgBdsnb9eIlsey4nw5jcnK83WMLFCo1xXvh9qY20W3YRX5RNoOjIdsJQw/F7IxXl/17isO4JdDqR31fFvNl4NX7L97ds77r59qtZqt5rGdDNzPKpUKJiYmsHnzZkxMTGTb+XotqNgI/VgEf5jStD0z02g0soYyx4+3jNRqNSTJ+t466wC6csYDXx54YkWj/NgzqhxCIEzvhUAok3UwL7Lc67kQz+rIh3gM1UlXevDp/Ua84kQVJa82KgKdvSjkcKgMeg1SVtohY9JL1kVAmtN5isp7zmtn5UHbKXTfq4/3rGcIPcOnPHlAuqhsfsa2aLKiDs0qm0JM0xTT09OIogibN2/OGc8+IO/T1SJ765xNIhhIMbtjq3yazWZuZRrbHQVDIfAN+AGakM0wKhrznIeOJy+NjlnWCWw7Q7OuHvjj8cvbPbnuXtn8jOdcmN3ROumrbkMgOUSheyGd6BHXXSdOtC1DdriXHVQA6/UlD5sU9R/P9nl9zpOpV/+QbDZSN00fKkd/F9kd5k3fFGO/BwYGsrerGB/VahV79+5FmqaYnJxEkiQYGRlBrVYrrEef+nSpxG+NZDzGZzTaCjXbAqY2x/oy92Fv+xXrKS/4rnhOx7znk7CNM9oIprc8vZXlmo/ns3m2xtMbod0Tns3V+upqQZWD5rsRPNwLJ3tpPJ1sfOiklBJvSQ+Vy9dC9sGrs7Vd0SooLc+z70X8eX6Bx78XJClqcy6bx5xXB25XravymiRJdni7rdKz8VmtVjPbA+Qn2QcGBrBr1y7EcYzrrrsuO2+SVwxdrq/zYxH80Y5XLpcxODiYNf7FixcxPDycKb9arYZarYbl5eVs+S6QN/j2n7/tt7dkUAGW8aLKIrTMmfMxBcyDNARQGRSHTqH3OoDWzQOByh/zaaQBJ3tWl0/qIOOBo8E25cHjPeTM6D2vLr2UZShvz5jwf65raGtCEXgvcryK6qP5ejPFoXpbvXQ5Is+yc/6ezPg/B/C8NgyBB+6r7AQxb1EUYXp6Gtu2bcsMLL92kwGBnZWxd+9eDA4Ool6v91f/9OmqEfddsyFpmmLr1q3YvHkzBgYGsLq6mgFwWz1XrVaxurqazZjyWPH0dpHx9oIVahdCqzuL9DzPsIXK9P4r/1om/2f9oHmoLfL0CefHOpvtk9nQXgBQ+fSCCt7zHv+heisV2duN2Ga2NV4+IRsGFG+19uwRl8c8hcosclrUadLfuno0VAflMdRmbHcuxa5yn4vjGDfddBO2bNmCZrOZnR9p/Fr6VquVnRexc+fObNa2b3f6dLXJ+r293CZN1ye97bdNcpfL5exsRF3poCvTbJwwplIsqbrA28qieFHTM8Vx+6BdPq+uCGeyrrdx1yuAoLrS2wod8tW0XH5OfYKiPHk1kScv3Q7Hti20E6KXntyIbfBskNZV8/T8LZZbUZ78yvVQfiE/WXFNkZ+j9kuvcT+w/9b3izAHkPdf+b+2C68oVqxiZXMA1vKrVCq4++67s8At40VeXbS2tobFxUUMDg5i586dGBgYwOLiYuE2543Sj0XwB2gL2w7gu++++/DNb34TURRh586dmJ2dxcjICLZt25a9FtoE2Gw2sWnTJly4cCE7RVuVoQES67SNRqMrnQcyWOHwEjAm7uTcgewk9pWVldxzCuZZKejSzSKwo3yrLO26diLt4Mq/l04BPytv/maeQgDS8u5VB6aQAxACtkqsCNQ4MWD16hbKzwP06sAUOQi9ADL3Je476hx5vHv865jg66yAub/YigfrJzbuvFVDnJ/NXhlflufAwADuvPNOLC8v48KFC1hdXc3Aji3XtPFqqyw2b96c7Y/v1U/61KfLoXq9jqGhIdx+++145ZVXsHnzZuzZswezs7MYHh7Gtm3bstkbBi3bt2/HyspKZneMWN8wMOCDAE0/qI7Q8e0BUp2FstVIcby+Z3xpaSnHjwaqeoF9vWf5cFovnWdHmQ/N00sbAqoeiPW+Q7qJn/PAqz5nh6VqPh6gDdXL7rP8uc1DkzIhntlOe3Lx6qHyCU0ueH3P8vDsoeatGEJlw7zpb77mrYjQdCpznnDjfGxM7N+/H41GA2fPnsXS0lJuEpHBvGFQO4PBVqD3qU9XSjwu7ZDXe+65B88++yzStD3xcPz4cQwPD2Pr1q2oVqu5yeM0ba+EXltbw+rqajZ5FsKdqn+YirCyfavOY/0xMDCQG2N27pmnG+3DW5+98a82yAtKWXoPH5veCPlRHgb27jHfXhn8HFOvlUFeWSpnPUvQ4zvkVxTZdvvm+0W6mb8Vp3jPcln6tq2QXxWSi6blvsO8qR3zZMM+kpYdwjHMl/Yzz2dm28Orffbs2YPz58/j/PnzSNP2ERdGvEWSYwY8UX6ldM0HfxSoxHGM0dFRjIyMoFQq4frrr8fBgwezE7OB/y97/xZrWXqdh2Jjrvu+1K1v1cXuFknJvIgiKZIyHdqhpMiy4cQ2IBmy5fhBPkdxbBiInSBPOcjLecnDiWHgwPBDACMHwTlBACcxDOsIEWhZVmLRlkg1KYk0KV66STa7i82u6rrtqn1bl71nHnZ/s771rW/8c+29q8Vqag5gYa01538Z/5j/P8Y3xn+ZD400HMcPf/jD0ev14v79+xERSwJkQfKbN5h0QDhl6V5Zyp12MpnEhQsXYmdnJyKiOfBR0+rKiQzMOsDlBqAD2O46py8pPK5H07hy2+ovAWUtg5V6BswzBVsK/oC0bL6uZWZAXOWSKUGXRmd52ZCwgs5mGFw0fR3edRxoMC2ThfufKSYtn19HzSCFx8dwOFxZEhkRzco/LMtnANRRR4+a0Mc/9KEPxfXr16Pf78eVK1fi9u3bEfFwHzn0Of7/+I//ePR6vSad2h2QHrTJoIKJg60R5bGGcrBHfH9/vwHhDuQpmEV+vVayKZzH8cR5nY3KbELWvqwOLkvvl4CxC+Aonw5AcnBBl7yvQxqcdzYkA8BOLusAQwdUOZ+eP+GcnJIzkPGjNpnrBk8uEKZtYnvgbJBz/vg325/j45NzJDc3N5vgDt6oxO3EW/zgdINXPouro44eBaHvPvfcc/GlL30pqqpqVv6g72Gnw2KxiOl0GoeHh/HCCy/Ezs5O3LhxYwkT8+RcRDQT3CAeb+w0TyaT5i1EqgtVPyHvZDKJyWQSDx48aNrCugb8O5+J+UVeXHNpHanuUB2WrTpR2Zf8HHff2U3Oo0ESp9ecrmS+uUz1F7J8JZllbVCeSmVpP3D1O9zj2o3gHPqg+v+clvt1VS0vwGA9rzxqGSi7tIjA+ZtqC3HP1Qk/B89ssVjEd7/73eaoi+FwGJPJJCJiKWCLiQasEIIeKL3Vc1167IM/oKp6+KYffnsGZmcgOE4/HA6b0715ho4HItK6gcq/Oc/29nZMp9MmgKP7Px2I7fV6zSywkoLfdZQTt4XrdnLTAeQ6cCno4+ou3cv4KJXhFGZWpmsTp3HKu+TAONC6riPi2tdGrm69njlE6wJ8J0u95wwa11kKqCjfKtssgARF6JTvfD6PL3zhC/Hcc8/FwcFBjEajuHjx4hJ/4OnmzZtNABhAYzKZNK9J7Kij8xCPHzh7OOj/+Pjk9ZtwBBVw4NXvu7u7zevfAbxVd2fj3AVYxuNxLBaLZlJDeXV6DQEjTIhwHVldnD+Tida7ThuUx0wfuzxOZ7m0jneWsZZXKkt1ogt48PUM0DuZZHY3c7Cy+2chB8Sd7eG0rn1t2ILb2UZcPpelPJR4Vl71XvZ8jo6O4itf+Uo8//zzsb+/H1tbWzGfz+Py5csRsfyChZs3bzYTD1hJgBnb02CAjjoqEYIu9+/fX9pWiHPnQPCLRqNR7O7uxs2bN5sDotnmOAymfg3KdduTOF22uoXr29vbW+GV8zoCD22rVzht5qdx2kwfras/3bgu6e2SXS+Vyfe0PCY3Kaz5SnyXbMq6lNk451Nk5apd5m1P7tmi/2i5SMdHkTCPTk6g7JBnLl9XEDk7qJM+nFd9nqo6Cf584xvfiKeffjoWi0VMJpN44oknmrHOPL3yyivx7LPPxmKxiO3t7bh///5KvOMs9NgHf7gT4JCzF198MQ4ODppDXofD4UqnwGnm+/v78fLLL8ebb77ZlOdeZc7kgDcvK9vd3W1+szLL9trXdR37+/upc++AJted8YVrbYNeyy0Ndgcq1wWzDpxnituRA3cKAHmg8XVXR5vSya47wOuAqQPybQo0A8zaVt6LrecrZUqV+6nrD04xatszAB6xusyWVyBpmVw/O0eqBPnwvOPjk9dp7+/vL22H1Gd9dHQUb7zxRly9ejX29/eb6PmVK1eKsu+oo9MS7MXe3l78wR/8Qcxms7h48WKzVJf7KW/R2dvbi9dee61Z9aP63Y1Pp3v5/97e3sp4cECXCQErvZfpqXX0l5JzvLO6nO5z5Wb6qWRDsrJwrY0vly9bVZLV7ajNJpacEGeL1S6dhUq2y+GDUn9Ru5P1EZdP7+kzdCtXtd87WbQ5mlxvXZ+sophOpzGdTmM0Glk5zOfz+N73vhfPPPNMcxbDs88+2xz4vI7976ijdWgwGMTOzk587nOfi7t37zbBnaeeemrpjVXo98PhMA4ODuKVV16JO3furAR2nJ/DdkudYPTjg4ODpZe5KDkcenBw0PAXsapb1A9xZ20yzzzGlVfOo2W4ay5Ychb/CbxkPpnjreTncVr37eSsedexBSU9nvk6ep/bcpp2Ox60D2ibnYwdf6WytY2Zfcv8V9gStxUrsznORnH/4WNp+A1k6mMdHx/HG2+8ERcuXIhbt27F1tZW4wNpG05Lj33whwkD/8aNG/Hmm2/GaDSKN954YwmAsEI8Pj6O+XzevKmFHVBHJYWCa9phuD4HFFXxlgBmCRSWlJNLf1rSMrMtUJmSQB6cg4AlauBdAyvaJuWBlYAuq8N/nXHlvA5EZoM7kwFoHSVdkr3bF8r5te9om7VNGbk6uEwne73G/7MVbSANNKms8bu0RQD18HWs1MM2Fe5LqA8rMb7//e9Hv9+Pa9eunav/d9RRRjD8d+/ejXv37sWP/MiPxIMHD+LixYt2hRsO38TyXF3m3qa/M4DFwSWn985DZy0nA0v6O7vndLezl22gDnbHOT3rloHvzJ5n7S+1uUSZbeV7WXmZLnfl6PaAtr6mAXq2tcq/K9f1CWdjlE9cc2/SWcchcbZSn6faHW4LttDAZs3n85WVpIPBIA4PD+P27dtxeHgYV69e7exOR28LzefzePDgQezt7TX2Q3Eir+p0ByNnuM/ZFoe1uV7Wp3rsAJfFL6bRsa4BIZTv9EDmDzhb5fRmRuq4Iy1PZPL1TKa8IpD/Q546ect+nk6aZitHSm1Z12Y7G+LwvytXn5euglE7UXpuWjY/B+zq4ft8reRDZ3bHyUH/u4/ei1h9w5uW6bbkuZXWeOMXX4evc3BwEJubm0v3sdV4Pp/H9evXYzweN2+aPC899sEffuAQMJzB4+Pj2N/fXwk2REQDuvkB8F5CXHOEtK6zqILQ++DZKVlWnm4wuP8Kbtipdgd/lcDnaZRFBhaVD+VxsVisGAgewHwCOspwA0vbmQ145tfl59/alpI8nHxLsuJ6sNXCnTvg6nV9YZ3fjhdW1rp81/Gtz7WtfFXerg1ujHE+XiHnxoaOWazig1yrqmrednHnzp0YjUZx7dq1lO+OOjoLqWHHdq+IiP39/bh48eLKmOClyygDdkfHsYJQV7cj1UvnDQKtA5Q5rQPqGW8KzNp0mQNyzvHX63wgvALFTMcp/9qukt3IgkdZu9ra7OrRNnJ69Ce2jW6CI8Maiik0XRZUyfjW1dRat+Zrs93Z88+I8aF7plwWnz0CXuq6biYIsZoc2z15PGMrC7a1dIGfjt4O4qBOhusZZ8MvYicdAUxHTidmvoar2+kaxZzIq/U6x1jTO12FfKr72vw5bi/aynl40QDrA2f3nC+jbS/peMeL0yHO91pHB57mntP3ma7NbBC3h7/1UOcSfzw5wX4f0nOAjetnm+N8NWfX23jSfl0KOIG0X2ifYl8Qfgz3Q+ThrcTwoY6OjuLw8LD5Pg/OU3rsgz+O0PHwqkN1bPEw3Cui8d+Rgi6c3aCRTgYQLl8GBBU4a5osuunylNpQAkttHVs7caaYOF8GNrN2tik8TusCSJkzkV3X+jMeOG+bg6W8OGWVLYXPlE/Gj3NGHG/gmwNrEcuBnyx46Q6QVsqArj4fPdsExG8x4mDtfD5vIuK4B55ms1nMZrNmaX1ENNcQaOSZpo46etSEFQFVVcWlS5ea65ubmyuv0nXn+jA5/ajjGrpED4JWanOKSwEKvubASwY+M92v1xnEaf0lG+X0vdteqrpV7bGCSGf3OL0Go3ULt9O9qp8zOo1NbbsG4plipGPZ8Qx0idSBcXyXfqMOtTvcz3lMZFuFS3WXiPNrn8jGGupXxxr/Z7NZ86ZJPlsBfQJvMkIZj+LwzY46Uv8AYwoHvvb7/bhw4cJSoOL4+LixTaz3QK5v8jiBn4QJtrNgKeU5YvUFONo+1uE8BjN94PhW2+lsFvSfyqFNtzAfqteYZ7VJ2kbXngwflPxIvpbdK7Uvs+tq/10+DparPErHTKgcnQ3JfBr1R1w6jA/nCyM9eGUbVFUngSPGVyjX9RP3TNXecX9Uf5B5chPfiDFgl8N4PG7aNJ1Om8kIjHVe1LKunXT0jgn+oBP2+/145plnYjAYxGAwaN5kokseVZHxw+dDl7XT8sOczWZLaVjZ6LcqBef86j2tU69xmeuALwfA2wYQ16ny5s6pbXSkykvLYOdGFY4zXipDnanT7URtss+Mi3OA2uSj5agSzMrQejKlyUrXlef+cx/QehEsZV6dvJxB4LRZ23Bd21WaCWqT83w+b0AP81BVVWxtbTWveOeVGR119KiIHbxerxdXr16Nu3fvxsHBQUwmk+bAf6e/dTYLW5DbQDU7pygro3X0cBtlS91RTsYH9JNutVL+VB9oeZm+zXSjA7889rUs1XX6H+Xp7CKXmQH6ddrJPPJ3mx50ZWg78O2chsyetulwrSuzZ1yWAlF2APWsBA3Q6LfWkclD8YPmYTk7IM5lIB345DNVtAy8dQUgPDv3o6OOzkrob/1+P971rnfF/fv3m7OoONDDpEHckv5UfwGTbG3jz13HuFEbkun0iIfji/OWcDn/Vp+E0zofwOl/pwscdmbboPyw3mJenMxVx/CiBM2rtoxXkGi5mZyZMv3v+HN2VeXOq/q1rYp3tG63wgr3gKNKPo/y5GwT3gAM3x18OD9Rfck2G8F1cd/VPsB9lCe8s/KwQm8ymTR5kW84HDa+znw+b843fRT0jgn+RDyMruJgvvv378doNIr3vve9zRsYIh52NB20fI07KXeQ7EFnSskNEC4L6dxeSR4M2SBVgMSEpZ3ZDDHzkw1a95/bkKVrcxKyVS8Y6FpmtlrEAT7Nq3LX9DwA1VmBMVQZZ7/x381CZLIs8a5tUMOVzWgr6NU+yXVphNp9gxyIUIDLMtSln/jNytU5Itw23GOl7FZP8fNE8Hc+ny8duNlRR4+CdCxVVdWcHXfr1q3o9/vxZ//sn10aA0ifzVDya3rV9mjdqhdw/TSGn9vgnFQHuDOdz3Xzcman+zPdwrLU+6wjXNsz/pi3DNwjD9tJp9udTefrXD7rX+cAaRt0AgXPRJ0flbWTn8rL1Zfdy4IvKlu1iYxjsj7Ifb+qKjv7r23JsBS3kdvlZKz/nQx49pqdL86D58HOMPfJXq/XgG9s/1rHAeuoo3VI+31VVXHr1q3Y2dmJg4ODuHbtWvzYj/3YkpPo8Kf6Poyl3NhyqwiZdBs+8nBepOOAaNvY0MCHBjp0EoRXazCpTnCYVOt1Oo/LyPSSw7mujCw9t1v54GfF6WAjdMWInqsaEam/oDalZGOcPVc8lOlaJ7sMy6hdynbwsF3RZ8v2EwFTDso4zMG4S/ua+i2OdNzgGp+bhfbgW7d9cTloB7+VHFRVVTMBjsl7zXtWescEf7hD7uzsxI0bN2I8Hsf29nZcunSpCfzggWAZI3cMPnuBO6jOTjExsET9CpzUCV8nUoxZMc2LtPyt+UHqPJQ6xKMEKDoomG+WuS6DdHmZPyfPjCDHTEGxAVIHi52YkjLL+NXnXzJGfC0Dte45q3PlFGtWB5c9HA6j3+8vrXbLeNQ2ltKVwILr0zwOeYxwWRHLB0Sz0leQzud3YWXGum3rqKPTEPri7u5u3LhxI/r9frz3ve+NZ555JsbjcXGMOMde76k+cfVnesmBS8cHvrP0JZ2u99wqx4z/bDWiq7PtuiMFYpnuzcp2MljHRvF/Jwd1ktwzKAViHJV4d9cV57iyMrDrMI6b3czKhd3RIIqTsevfWqamUdvj+NGVweo4MB5kLOZwmdqoNvvYUUfnIfSrw8PD2NnZiao6We18+fLlGI1GS+OIHV7uy71er1kJgbQ8Dnk8KHZkHkDZPTeuSzqUy3B4MAsgcBBK7zNlAaIMQ5cm4V0b2a/gdCXfRcsq+QxO7k4eLo1bieswiNbn2qf3te5SPrWRrFOdn+cmFZztcjYS10ajUfR6vWbVj8rO8am8rGOHka+UH+3hbWd8RABjAA1Wcfu5HPj7pQmY01D76yweM4LBxizqxsaGBX7uZPx+v7/y4WCQkioZKFM+sdsFD0oDma85wMNKuUQZ8HPlR6wPjtvKXod0wLt6VW6uDPft0rlll5mC1I8DfxGrzz4zahl/qmyz/sGBDN1by9uZnKOgy0a13n6/37y21hkAbasqbJaLfpRUATKQ5nHGAFpl42SpAU4uF0FbflViRx09ClJwXVUnEwr7+/sxnU6bt/zomT/6Ngf0U8z28GF/PO5L+o2B/Gl552+974Cus1/r2INMD2Z6UXWNTpjoZ522ntVuuXqyelEfQJvLp2W6tjh9yrpN+eNv/c28ZfYpA9fZBJRriwJUxwPsFlbIsB3VZ8t1luTCfGkASvsRt5c/unVYy+U06gwqXkB/xWG66+C1jjpqI+2X8DWwtX1rayvm8/nSmFV/Af2bMddwOIzBYLAy4cw2CMSYeDgcrmwzQd9XfKzbq7J2KZ9V9TCIwviXJ/Q4oOEwOvhqkyv7hG47kMP6Tkcz36wb2/w6vuZkkvkrzJvqOaePnZ7WVVTKV2nyFDzwfYf1lT/FONw3S+3lT7YdT3Uu9Df330yuKiv0C14wsA4xjuO+xTYo4xftwrml3H4OXnK/0UDReekds/In4qFChECw7QNngyCNDhh+OHoKOSsfJ3D+HxFLBy+hbCa3tFKX6zG5wZ21PStD02h6VzY6ZAlcsxzWGRBZGtRVmgUu8a/3HD8sZ07Dys1tCcjqV9lwnRlYVn40TdvsYsTyFq1sRiLrn9rmuj7ZasJ9TA0utxdllQwi0ioAyAw8/9Z8IA5iuSXKGLcs/2vXrsVsNmuc4slksmRU1lXgHXXkiMcbJgpUl7ptRKonFBgAZKjRbzPo2WviM12U6f+Sjs2opNeZzmonsv/rApw2UAv90taOdXhHefjtZHCaMtWu6WH9WRltdkf7oepyzQ97h4A6/9fy2niIiOZ8K3YESnnU+WCHxQVXHC/ORkbE0soIV5aCdbaNOvlx9erVODg4iKo6mWne2NhYehlBRx2dlxinOQeS+7nzdeAXaVBFsaHTD66+0ko3LsOtzHE4k/l3qwnZNynhzOwafzPfiim1HM3v5OzqVTvgfJ3MJ3R1ZXxxGg1OO3+pzR4z/5mtZR9ZbVWJx5JvwDyvYz81sKhpIIvpdLrit5X0/Tp20cnCjQFXDr/ZS8vP/Dm88Yvbdu3atWZMbGxsxKVLl5ZeRHBWescEf/BA8d77iJPgD6Jh2faQiGhmohaLxdKhfhr4cA+eO+/x8cl5Q7ydKVOKrswsuKTfbgAz6HS86QBex6Fwe04dz20DNOOJ63bb6kqKVtvv8mldWRCPy1Vj4oIekE2b8+H4YGIDhjIjlt+EkClGV1cmI+WBgyA4m4B5cvUCHLOTmxm/zOAqn6wsWYkjHStD1H98fNy80hDl8F5XtOHpp5+OBw8eRFVVsb29vXTmV0cdPUra2NiI6XQaW1tbTdDn/v37VkdwkAZ2h8cg6yA3nh1hHOs11FPK564pWNG0pTJL6dv0YYkvR6pLXB2ZXkJ63duv+GBdW+7sqQOlLF+2NQqeMxvrbPy6smJeuCz0WV19iXrdGXxclsrQpYt4iMdcf23j3dkQBvIOCzh8xP0FgdbSlhK2O9PptLk3GAxiNpvF5uZmkxd2Z2dnp2nvaDRqJh476ug8xGNqPB7H1tZWXLx4MSIeBlMxaaDOJuM6rBjCeGBfR3W/KwvX3QtvQLpSU3VDKZjg0rP+1NXhKh9sgVlHN2Y2BHXqihgEvzVv5osob6xPM51WCgxpmRrwc+1RmeozxbebSI7IbSTz5PI5/1N1ubarZGNd+7lvczruC2gDJstPYzPdgoGsjfo8S5MSTlZqmyJOfBt+Yxmf4wRZPvnkk43NGY/HzSq+89I7ar1qr9eLzc3NeOKJJ6LX68V4PF6alQU5AMhBomy7jFNg2hl0uaBSG6AvdcxsQGjH0QFUAsnakVznjoglhZtFpdFptRwecLqslNOqkcocDs2Tycq1x7VB86EtnFf7Q4kPfYaZTPk+8wODw6tcuF85BVkyEGrI+W0kyo/+VoPr+mfJkeM87mwlLrekXPm56DkZGtTBTO5oNFpxDjrq6FHTpUuXYmtrK65evdr0MwR0MiCF37A5DPyUSuOrpLPbqG3cZsEIpUwnnIW3THc6u8O/db98BsiYsmXXme0q8cp8unLwfJnP0kpP5MkCSFmbStiD72c2hOtw6TgNA3q3ekDrhc3J+CvldR9NU+qjLEeWdWlbNJd9dHS09DY+rKDgfNiCg8lHtMeN6Y46Og/B5jzxxBNNn9bjJiJWcb76Olj5zeTGOudnTMp1aX2K6dQmaD7WJRhzil11clJ1xllwnuoEvq5jnNvj/ErWTXjxCNsE1IPVvk6fOZtVklnWJtZVjod184NK/irjdGf723C4+qeO1Dfh55b5izgoWfnM2ojrKm/Hn2sPp9OzpUrbvpxtV34jVl/Og3w456uEI09Lj/VU+WKxiBs3bsRgMIgLFy40gR42vph9UcXIyuvo6Chms1kzG4XBqatRSgEJLluVhOt42f8smq2/Ob92nFLnbgP8nAbLQ/maKugMSKoslDBodelpG4jjfApUM6DOyoh5VSVbiiBnPGUGTOtW5Yc+xvLTupzC5mfOeVzbnTHT+tTR0bzOyLpn5HhTeahcsEXS5cPzYOXu5IGlkyo7PUCNZdVRR+ehxWIRd+/ejX6/HxsbG00/HQ6HTRr0ycxmoO/O5/NmBlXHAOdxulXTaR1tTn6W36Xjsl17HKhi/d7GP/+HE+3S88yos7GOH9deBkoufyZ/Z3Mz2XJwpA3cZ7LOnq9rU1aHAlC1O5gRdfVERHEWMaunxKO2SW2b2nRnh9fZ5pj9HwwGDTjP+r9u5+L8mIlFObiO/q5np3TBn47OS7PZLL797W/H5uZmXL58ubmOYy6q6mSFswYbFKPjLCpeIVTyF/g6YzAOKOgZLYpfnQ7I8CrrVugqd6ZjyddxWLvNTji9rzZHVwGVJoTZtkBW4EvPDnM+Hssi25KseB7Px5WhbeP761IJa3Ddjme2Ie58IfesSnWx/6f9jdOXML+rW5+FW8yAezweSn0ZgVl9Xb3jnXlSu8dvAlPis7celb15rIM/Dx48iM9+9rNx+fLl+MQnPrESTd3Z2Ylvfetbcfny5VgsFs0rEHXA8H+Q64Ac6da9g6DSTGGmcJja8uJ3m/LR+w50tQVtFotFqjS5PndOEv93IN3xrPVwBJPbxYqGl+brNqpsFpavtQFmbZPmL7VFeVByfS4zcvidgVtOB4PJ5TEffChYpjjd6i7HS2a4lNRIsFFnHtRR4fTaXu6jbnygL7hx2lFHZ6Xd3d347Gc/G0888UR87GMfi4hlPQjSlwpErK7EY/2ooF2p5PDrFhimtv+OmEfkyUCk3te8nEZBuatXX1mqINa1Y917DL7YZqhNVrvj2sn/tQxXpuNF82Ttyep3beZ24T/LW89VK9koLjdznFz92ldxTWclXb9RcMx4S+WX4YpsHPCEg1tlDOcMeTFpqM9U7Y7yhdUV+lw76ugstLe3F5/73OfimWeeiU9+8pNWJ5Z0Kvdvxl3qI4AQxAQxnmJc5lb/cB4enxhvbpsoj6+srLY2atp1MDv+60S/Bmy4PW0+Q6Z79DrLw5Xntko5Xch5OLDS5v84XrO2Mf+uLF05pcEeLXedZ4Nr2l71EVxw0PGuedXXVF5LzzCrh/s2r/Lio2eQn+0wr9xDQFcDSzpZwWXgPvvs56XHOvizs7MTv/ZrvxYbGxtx+/bt+Lmf+7mIeAi6Dw8P4+bNm/Y8Gaf8IDQchqbKiPfeRSwf7sgd04Fe7oAZeGwjp3j0QTuwrvW0ASZVNgre3HVtX9ambJDi2zlQEasHLGOGA2834HZmZ+a0KU4mbqcuz3Oz2Q7A6uB0p9hnxozL1agwylKjrgaU83IaNmzurAnXvsxYO5nht3OgsDpCz5FwyrDXO9m6OZ/PYzKZxHQ6bSLcrBDdmOPZmswZ7aijs9DOzk78+q//emxubsb169fj537u55o+CUOvOkbtjQOKCHpof87AEu5xHqeTsnxq/1y561znQHzEanDZ6U+nlzKwyQQZOxDHOpf1IesLF9TGb9VfmgZt7Pf7zbY+94xLQQonS5fH2dyI1VfDc37XRvx3tl750PsObzi5ajtQZ9ZXVNcjncMWKq8SjsrazMDa9XfFLVjRN5/PY2Njozljjutw53IwvnAObkcdnZXu3LkT//pf/+sYj8fx8ssvxy/8wi8srUqo67p565ebcOCxqh/FkapzQNCRyKPnjzjfIgvKsL1SLM52g4NNGFeclst2fgvX77BuZmfUPkJ/6Hk9qhdwdpqTn+ph5MP5S/w8efIW1+fz+cpbCVl3rePXcN2u3bxaCTKDPHk1s8pY7Tm3lf0xt1LG+Z2cxtkCtyJU+zj3I/Z1wI+LC+ikicpKn7umZflhZagGZPQ8LPze3NyM2WzWYEjlhY/qYBnhmluscR56rIM/h4eH8corr0RExIULF+LTn/50c0+BXDYDq8JyQuY0Wk7bwUqnAYJOMegsneZR4sGlIDkDeW18sCIuKRnl0ymJTOGyA6FBCVYM7Djgtz6rrOPzwF+HsrJcRN31I02bOYScXuvQ8nRFT9Y3tL6sTgbpqsi5HgQ+nQEryYmNZ6/XW9kHm/X7iIeHnY1Gozg4OGgcLzZC2NOb1Y17bhVGRx2dhQ4PD+Mb3/hG1HUd9+/fjz//5//8ymoSdW412KPjZTAYxHQ6bf5jrPD/NmpzNl29LrBcIleG2rfSgfUlfaXlt+ku/uZ7pSCCA3bIU7L5bHfc7FrJ7uHauvqnBGq1DAf2VJ87ebq6XLnaFuaHZ10zPZ49T2d3HC5gKgFa5ollBRDugDOXy/1ksVjEdDqN8Xgcu7u7zdkdAPNwfFm2SsfHxytbFzvq6Kw0n8/jxo0bUdd1XLlyJf7aX/trEfHQt3G4Gn0TGIn1QVVVKzaHibcwRywHO9XxdqvzmQ8ObIB43GiggPG/C4hk5OwFH2ztsL/mcYEmNymgZ8zhg+vOrmrAy+lMnUhhX4fvZ76r/s9sjurlTI+5IAuXobobsnHltPk/mb+S8a/8ML/4DXlwP9KX1rDudxiD87s6lS/4KPzG1ra+u1gsYm9vLy5evBiHh4crdaIMt1KP+18bvjoNPdbBHyYG2zDS/KAdWOMHA4MOh5IFivQgF9DJSDuVOs86iJXXdQBjiRfXEXRVRgn8lZyWLECR8cJpNC2fv8T5FcDqNciUI9Sq1LhOjagrOaWqvLv2ZQEMvqZgUY2H49Pl4/pKRo3LUeXr0qsMVLlE5G+A4zZyO3jGBM+Wy9M+pM9nNpvFeDxekhFmuHj5fjZOoDB1prajjs5KOh54ibwbE5yPxzP6JL758M1Mh3FZSusC43XzuLRtzrmCOb7ubE0G+lyZJZ61XmdXXV7VcY5PBVwuncMKOvmSbSVraxu3S3lrk53Lr+3PZJXJjd+AlfGsjpPjnfly/dnZ4gxrqF3iFUaHh4dNnpIceXJjNps1h2jqJBOPWbW93J5usqGjR03oj7qlsK7rGA6HdpxgXLC9WSwWzTkksGFuVQvjNKcH8ZuDEsyrw3VZGk6Hcvl+5pNwO7XsbGKYx2dJ33O9kIPidj7CwGFnDuSwf6NbhJwu5nayrsFz5P9qV5xeVd5ZdlrWOqT9Ta+jnfx8nC+SlZNdc3yy3mW7wx8OBmbyxu8M12kf0+/M31D7rzhwOp3G4eHhkm/D/QljPrPh2PalE+xnpXMFf6qquhwR/9eI+HBE1BHxv4qIb0TE/zMi3hMRr0TEL9d1fbc6adE/i4i/GhH7EfFf1nX9B211oGOh0RhcGm1WgKSGHHmxJ1yFrwrBve6PH5QqLbfU3ZG7zmUquGWlkSlJ5ZMVkKZVJaQDQmXo7jvl4ZaraRudLNx1t7ytxG8GHN0zZH6cEXJyL/Gqzyy7x3l1a4jKRNuRzb66LYlav17X/qzX1WCoDDI+M/noFhGWLfh/8ODB0usLtc+rA84EoNMFfzp6lMQGF4T+Cl3PZ9BFrOpMNtij0aixQfp2Cny7/Jmzz7ROmiydOg96raR/uUyMU7Qh00l6LdMbqlu0vnWDCqV6tXzWUTqT58BhZmedc8XAuNTWXq+3NKOobc2cIWc3+Dc/W/2dOWDr9CvV75rPydDZDiZ3jevDd4bHSu3gtuzt7TUrfjCeuVxgTl0FAHniOWUrjjrq6DSEfoRjKeDI8kGwTi/wmILNQb9kbOSwI4jvu9UHLhDBdkx9KF1FzuOQ8Sy2v6ieUP7canzlm8eo1ocydPI503NZucwXeGI/Q7dRaXDK+RZsc7getRdudck6usftLmFbhxf/uD6h9lAXFrhJef12ttjVE7EchHR9T/PhA5lyfADjouRvZT5iyaeBTBivwX7oC5S43l6vF7u7u43N4X6Z1cX5uX3ryrZE5135888i4jN1Xf/NqqpGEbEZEf/HiPj3dV3/N1VV/VcR8V9FxP8hIv4XEfG+tz7/k4j4v7z1XSReMcIP8ejoKAaDQbNqoJRfl+ihg3EHccDblatgCWnXGYQO1GiHcw6+OstapiOnuPSb82rkn/nVgaAgNIu+Z6TKDvWzMuYT81Fm29vZuL36nSkk18ZerxcbGxuxt7e3pHAzh8ABWq5L250B9Uxu2XVd3ZWVqYo/I5a/c1TW4TUzeMwLiPs1ZIvVEW6Wi+tmQKMKsaOOzkvcpxDkAZjGmSGZjVAgBEeSbYw6v7psn8vKyAUpSpTxqvpK7eS6oCizFVxmxs+6+kn1ibbBUUkfK48Kdl2+rHz+74IFjleuu9/vx3A4bBw2B0g1wHYaO7IuZXJ2MoZDxY6e2qXM1qLsTCYlUtno9gnHv+bFBw72fD5fAuXKkzpind3p6FGS0xHon5PJZOU8mIzUpri+6nQ66lJ/SVf16Nhy+hf1s2Ou+Jf1ha7SafNXXFrVh7pQAO1TvQCbjnu6QkptNz8n3UbGwQC3AoUDzOxvMG+cp20Cm78jlrfYZXqVr/P5ONlzzJ5FhlPcb+fbOv2s2205UMikNkd387AOZ1+S28B9zvUt5c35MfzcVTbI6/rI8fFxTKfT5u3lyjuvbAXvPOGwLvYp0ZmDP1VVXYqIn4mI//ItJmYRMauq6hci4n/2VrL/PiL+f3ES/PmFiPgf6hOuP1dV1eWqqq7Vdf39Uj0ZoMRvrOQhvloBF4OD0wKPdZbvsdLkFQsuHz9gBzZ02wy3wcmJ05aAuubLgldOOZXkxB0+U8x8nduC627lh+5N5bqyZ8H8u9P+lW/+PHjwoFVRaV7tY5pe2+3kxaQGVw/gy2S6Tp92QFzr0/arbLWdznA6XtyYcPyrElW5ISAM43za80066qiN0K+4b/V6vdjc3Gz+O2DG+SO8Uxrhg/ROtzty+kJtCQPfbFzoeAM5m+B0eubcO3Cqbc50eJanTZdlbcvI6ecSH21lZPe0HsUf0Gd7e3sr6UptX5e0n4FU53Map7udg4V+52yS1lPiR/tO1g9cWVm/d8De2RwQ4y23mlRXZrHd6aijR0G8qpS31XPggIlxssNOGYZydovxNo8rxf7ObuE7w+I6Jt1kM5fBAQnkLe2ucHYFzr/iS9xD2VwWn8sDvexk5+rNJj+dXErPSMsvYQC1+9wPMl2K8haLhX37ZmYv9JrbDuh4xHfpWBTXLlc32xxO5xYw6PPTyXxe1anPDd/OHmp/4rz6Nma2r/zf+aBuhV2v12tWZpUOHD8tnWflz3sj4s2I+L9VVfWTEfHFiPjfRcTV+mFA542IuPrW7+ci4jXKf/2ta8Xgjzp1UIoQJGbLtKPwTFDE6oDDQ+dorkboSsBP97prJ1HeuT1cLtI4xQTSmbRMTppP02q9zI8OeP7tlvxFLEeNlZBf97GyItJghi67VqdCy1PA5+SDazr7gPwOHDp5aX9wv7X804D1bNWVHnCWGQg2ZJnsXB7c433L2cyta6+2GdTWT52DANCDVyG6Ps1pcS8LkHbU0VmJtyCij/E2r8lkYg2w2gUubzabNWkUMGHcZeMo0/06RnQsZrNbJceay2bd6QB/phvcfwd4Mh4UoLfxnOlw52yoPmR7wBjApePr6iQoFmB+M7usttfJpoRDSuVm6fiayruNLwfcXR9090ttKNXj2qGybes3jj9+VuxoZzxnjlHJUeqoo9OQ2hpcK2FVpxPhw/ALMXDN6YnM53F6zOkMPchZfSB1gks4me2O8ulwsW7lUpko3uez2vAfv3mbp+p5lUP2LLKJ5Uw/cj7G3ly+CwqwjBh3MJbQtjt+2+y4Pi/OV9KFmf3Tdjh+2LY6P8+1VXlnm49rOqb4mr5qXYM92ufdhAeX4+SD59zr9Zq4Ba7pb/aR+DomvM9L5wn+DCLiExHxj+u6/nxVVf8sTrZ4NVTXdV1V1ak8sqqq/kFE/IOIiPF43AxMDEhWinVdx8HBQUSsbuWCgBn48fIsFiYGPCtGF0WUtjXfJYW5jkOqipA7gQOhpTJ1lYsqFS1H61CHRHmEvPhe9oYtLQv1sOJ2ssiUvrafAzqnAZolPvWaPodS+U6WDixq/+Cgjnu+rg/oMnf85nq1bRlYzYzTOrJUZam/0V84feY0oQ11XS8BcSXkRX5+S4u2v6OO1iG1OxiHw+Gw6Ws8o3Pnzh3ks+Vx/+Zx4sa8Wy1HfK2Mf8O71d/835XtdKcbz+voPseTAzBOv2XX8M26TmWjZWY6lrcWuLazXeKygB0ckFM5OeC4juycvmaw6oC/gt0scNgmb267m913vGtex5Pm43Su37ltbpls1/lf18szvjwjr5MFsFGKa7R8lRsmqgDEO7vT0Wko83XwW8ci3tyV6QoQ6yvnwyA9xgTrVWcHUJfTO5om84cc1szq0WAReOX2sC+C/2pz1dfgCf9snPOkD2TJvqXKQ9vIOlH9FOaT5ZfZCec/Makf5Xw31amsdzlPXT9cEAG5OhmV8I7DOdpOvufa5Oy78puV64JAXIbzN7LySvaFf3MACP3E1eFW62AVaTZh6OpzZ3+dlc4T/LkeEdfruv78W///VZwEf25Ub23nqqrqWkTcfOv+9yLiBcr//FvXlqiu638REf8iImJ7e7tp4Wg0isFg0HxDwBolp3IiIpaUG07AZyXC6bgTuOVj+M4AUgnEaX6XFul1ECkAdCAJ5M7FGQ6HzbIxVjSuPbrsWXnS/E6xczlcViYfvu4CP9xWXoaqVDJavJSVy8sMqFJpsDl5uvRu2xz6pYJL3HP9kPsnKz6VU+kZqdy1PNTtHAX+7eSXyYrbzG1hvnicou+7MnXvLJ8J1lFHpyW1O+ib29vbS6tNIx6OLTbo2rd5/OHAZ9U9GTDjcvS304mcztmdErjkawpgEjkt/XcgD79Ho9GS3YFcSqR6mFdelep2uk6va1tL7VMdqbrVrYZytpXJreDNAB/AeLb1jtugPDodDZuR6emMnxIIztrn7mX11LU/s41lX8I7GZ9apwsuMS84mH0ymURdL08oOJnouOqoo9NSZnM2Nzebsa8vwch0Bb7Z1xmPxyt4mccA73qAPXP2RctXPJmVD1Idxr4X1+naBnukwQi1UShLV9giLfPsghpcFsucdyK4VSj8u6pWJzqZdMVRydZnz5rTOH3mbFWGGRR/Hx8fN8eoqJ5n++FsuZZVwimsN/HcXB2cBulY3uCZ5cvPQN9ayT6ou+Zsm8MMXCf3MbUxPF64XA4kzmazxtfBt/KD9uNcuhI+Ow2dOfhT1/UbVVW9VlXVB+q6/kZE/HxE/PFbn/8iIv6bt75/7a0s/2NE/KOqqv5lnBz0vFO3nPcT8fAB7u/vr3QAHLzJK3wgMByaCMUBYfNhihyl00HkjLp2Nr3niDsH0jkADgJfLvLv6tTAhtYBnnVvvpZbUhDcFj0YDOVrtL7UQd0SUY1oZjOZmeJz4BYE2eubSbg+BXRcTlaue5YqMzUqDHbVOGUBTG4jtydzcjQNA1jlkdOzk4X7uoTUyY9nUpwT5GTmADT+Y4zCmEecvAFDxwTGtTN6HXV0HkJ/BJDk64PBILa2tqxO4AP5+A2VDLDRv7meNt3hgEXGN4NcLZv1DK+EcPbP5S+Nacd/Zgc0vdN1GONsd5jcZMY6AeCSXXFtydpc+m6rry1Nxov2AWfLVbcjj+pxLoOxVekZc9lt7WJ8kpXl7IA6qFoP8545rErAVJBDtg0mYnnWHBMR+A/nksdHRx09CkJf5+AFxtlwOIzxeGxXe6AP82vdeTwjnf7m4I8bpyVSHaTll67xWAfOU3+M86ke0QCBpmW58D32MbgM12620+vgS9h75hflZMESp8cjYsk/UP2u10qLApzOdrqW0+NtVUolPyILiugCC9XT6oeD+Dp/a9tU/2p9GV5BPu1PvCPB+eh8zfk5JRyB8eny6GHV8/k8RqPRksx4XDuscBY679u+/nFE/D+qkzd9fTsifjUiehHx/6qq6u9FxHcj4pffSvsbcfKa95fj5FXvv7pOBSy4uq6btzGwABnQlB4IgiAA5VqHfnBPOyHnQ/0l3pEOZ9q4NOqE421mUCgK2LRTa8di4Adj4jpnyVHndFlkk+vXayon8MODnZ9vKR/nz/hdJwCgvDvFldWdKVoGzW5w4r+eZM97TLU/41oGbNva6ZwG5tspMy0Xfd/1GVXcHADifq/9luXo+hIDFu77jrqVPh29XaTLyZ1u4UCKjinoNAbmi8Ui5vP5CgBjIKL2SsdIm/HneygTdiSzH/rfvZGEy8x0nDrl0+l0xa7xfa3byVhBkwOB2vZHZRu4XSX921auS6MOj6bVtmR16DN1+ET1sCtPcY5un1CAnPHhynbOQibPUqDH5ePVEVyWK0dtlOIfxjoZjuGxfHh4eGqnuaOOMlJdyH0TOtD12dls1uBz7YuYfOAyNaCROfNuTPMYQprMLroJb/VB+v1+LBaLGA6HxclZnWDGNW4XTxA4ntYNDmjwjPUB+HKrVbRsyN+t2lIMwM/V6XTuByz3zK45OXCbuIwsb0YOP6iddP6clpHZa6ejdYI8s1/sR2R2JluIEVHGCe4Z6njL7CC3xfUDDYLyfdgbbuM6mKONzhX8qev6jyLiz5pbP2/S1hHxvzll+U0nAmjmQ4Z1Ob4TioJaVXQcLef0LOhsoDkn3bUBaUuBH9exOApbeuCq0LUdSFMCoFyWuwZ5uD2HDkBpOzkAks1I4L+ugGFjUgKRahiz8pm/bO+vy1dSCig3O6NBy3V91oFI3ROKMaDtb3MIkbdtyWtb/3aKXw3lOqR9hb95hQ/6KJZEIi+v5JvNZnbrZ0cdnYXUyPLYhv5yABn/nU7S8lAH2wXneDo97v7jmtO9ejig2h0m5ZPrUnI6WWWo9lbvl4jBPusE5tOlj1h29qGf3EonBeC4pqCeZ4rxH2n5m9upPOAer6Ys2RT3m3lu0/+ujXwvs5fARdxebR+Xpc6NPnPmdR3Q6myQkwPIrQ5ydjez+1V1skWRxyHsCR8Gi288V6THyqCOOjorsa+jgVZ9m2nE6uSjBmUdxuZxojYJ6YDxnR+hugH1aBBG/SnVU6z71AYyP6xrefy6SfjMR4G+LelTvq6rQpwMtA2lMsGvS6M6WGVa8mGY1FbhWuZXqD/AfGRyQT4mt7onwyV8rc0GMG+qd9Ee7Yf8XPQAby5LFzHw6jodH8qTjqlSOzBete9z24AlYWvwLIbD4VI7UR+2fQ0Gg/Sc3dPQO8ZqDQaDRphoOM4AUoKzOJ1OG0EjLw7wdAEXJh2YIHQAt8rB8YHvNrDuOp3L5wBvG/Dh8nTfacTD7UisDJwjzR1OZZO1S/fpOsfJBZ905lEBfDZIuRwG2U52bfmzayxHZ9zc7Ki2x5WpSoqvsaFnIOBmFVSWep/za10sa7cMUp83OzhuKb0+S24DKz39MPhW4MNt0+1mHXX0KAj9F44d98Nerxfb29srabVP9vv95gPSIIQCmIx4fGZ9fd1rfF3vu/Q644r69cP6Tce9cxJUJ0EGCrCzyQBnG7ldrCvrul6xX06XObDGMmCZZDJlu6MgLbPzpWfA/9WmlXReVk723NpsnurvLEjjngeul+wO33OkdpD7FurLHJWI5THMbcY1jFW1RU6OmT3vqKPz0mg0WsFBg8Fg5a3G6H840zMilvoscJmbkIxYHtOZDlB8ymlZn2crLTQvp1UdlulG1Quqxzk4pPbHBYa1Tdp2lYtObDqdoHxzPtge3R2h9bGd1QAQt0UxPQIGTvZO7k7Gek3lnwWQ2vqPq6vkx2U+n8P53I9YThzA04Cp+r/8KQVUHJ6JWF3RrOOC+eTxDNJ7yofiGK7rvPRYB3904DOA6/V6TYdXEOI6PDrFaDSyAACDkx+Y8qKgNiKPAGpaB5SyB6gOfyYbBTDa8XCfFQ/zw/yxctEgACudqjqJpuIwuSxC7hS6dl588EwV7KsC1sGr9Tplzgq4BNQywKlpUAYPfu4r6EP6/FRJZf1B2+7yaR9VY8WyyNrpyncOjSpPVx7G1ubmZszn82aVnjPImoeVXqbI1Whx9B7OOZ+j0lFH5yE2wNo3q6pqQHhpfCGvgnj0ZdbHCqLXIQ20KCl4XEe/cToH7HBf9avqNAYzWFnrnAN9+wp+l9qGFYBYzaT2RGWgTrrq0UynwS6xHWSdpqQyygJN7lrbs2Hbro5HZvc1P3hU+SjfnFbfgJrxqYE4Z6uUFyd75+Aw32ob8Fwmk0kcHx+vrJRWOSEfng+vHFe+OA0Iq31K2K6jjs5KvGKBP+zr8H0QY2v+jQlz9XUYJzGOxZjn8rFlOMLbAeUB+l75U33r8CGnV9IAAMrgNnDb1bco6Xm1dcoXZM82x53JqtgaBD5110SWjvWPe+YsT5ab+sp47uyTcL0sU6erXbCjZG/dM89k7iZFuA8xT9xvIRf2FRnr8HPRIIyTs/adNp8btLm5GbPZbIlXF6iKiCVbwx/n5yjB1wGequuTHUHj8Tjlc116rIM/EQ87NJY6IQo+GAyWzlSIWB6ELGyUAyWqgR6uK+uw/EA3Nzdjf39/6UG7t2yBJ/6P35kidUEDLoevqUKAnFy9mkdX27CsuU4H0qpqeauC3suUghoBTavLp1mJuXpKgTUmrtNt/eP8mUECqSFlp0VlqEZQA2x83RH3Zbd01PUjJxsHhLmNvI2sRNwvnMPqHDeWk9bvAAuPI26HjgM10h119CgJ/Y5XirIz6GbCkA+GmsHKZDKJ3d3d5owDzscgLwNVVXWyNQXnOyiQ5m8Htp0d0fayHsPYK61A5HJBbTyoranreknvl/Qn267MEVAeOJ8C18wmZ/Yk00VahvutulrrdGXwNefgqCyy/ODbzbZmtkfBaJuNVT2c2U9no7hPZP1abTKXw05Z1j/VFul4Vd6dXEqOYiaXjjpah7gPwbGDHen3+ytvTeQ8bJ8432g0anwdPW9SdY/2d4yB7e3tuH///lIQQO1PxMNtKaXyuF7V822THpwe575q2arjnKyUVA+pjDlgU9LBbDtU77PuUl+k7WyczM6W2lRqn8PmaJ8r2+nPrA+VeND2ZH4x5KKTADoBzOm1bJTP+p7rc9u+HK/aBm4vb8WsqmrlOAAN7Kj96fV6SweE6zPRvsXP8lHZmcc++AOhbG1tNULDazgjTpZIKhDXaGXEieA2NjZia2srNjY2Yj6frwA+7kzsbHM0uaqqZjsZP2jteAqWODqpwIidfNStwEfBOcrVwYi0g8FgaQVGxGqEvE3mqhwyxY4y3W8HREv1YQkrDwouh3mHvHhmAs5EaQZZFZk6YypbdXyUb51J0UBQqf2oQ7eRMS/O0DGPKh+WheuHXK+2dV3j6RQwDsBEO9sMCvOJcvhZrBPc0bHUUUePinq9k1UF+I2ZVDfuQao3q6qKyWQSm5ubsbGxsQQa1MZELB/cD0J90IsoV/OuM9Ol+XnmjNvA9TqA53RqRDSTMlyvOvkqr+yaA77OfmqarP0ugJEBShcgUruoB5Q6HcnlMAhkXZuRwyNuQkHTOhloWr7m9Kfyp2W7/ukAvcvLMtOZW73PfHPdLFuWiQJ9XHOycfLl9mQ4xtXL+Trq6CyEPre1tdVc48ncDDurY1xVJ77OeDyOyWTS+DpIr7hR9SJjx93dXRvY4PozXaptY357Pf8GxzZCevYBJ5NJHB4eroxLp+9Udzn9zbpJx3lmG/V6xOpKHC2DdZXqMJ3g4DcFsz1r8+PQN1CmTq4qlfSX6ucMA2T+FiizOcir+fDJJjm4vzoe+FpENP6hBlYyX0J5h+3ne8CDOpGuWNDJw61aYl4Vcz6qANBjH/xh44wOgCgbItyc1g0+duB1dknrQXol7mhupilTkKpMs/K5HgdsM4AJ5YS2QUFwR1p3wLvBo/yMRqMlJ8SVUapL+VKZaNn6/LOyGby5vbXaHjfYs8GvlAE+fc5tYJx5b+t/4NeBVM6TGRTlkZUq0nLQygFZHV8oTwOTKnfm1ZXBeXTrIZQp3gjB6fkUfD4QuqOOzkuqK9yMVRb80a2pCBw5Uv2nY5+DwtkWWwfImR9Np46sW1XIYIPlwffZpur4ZXDFOoZlpzpI6+ZvBJWcjs7ay9cUC3DZKk/X1qw+lz4jBZpKpXpL/GjZjpxc8OxLgLnUDvc7q4f50H7htvDhf4ZDlB9Xr9bP/VC3HXC/RX8ByIdtYRvJy/E76uhRkepEPngd243dOOEJAOhlV67Dp04foqxMVzlcx3m4Xpcn07ucVgO5DmtHREyn05V2chlcfqbLWQYR0azWPTw8XNFXas+QXuXOuwx0m3dd10tBOSaHK5CHbTX+a/DP2Wlua4a99VobbyVb47C/5leZZjLm1Wba3zJfiQn+MOrmrbuah8df5jc7+aGvlrAIYw/4NlwHeAS/zCueNfI9Cl/nsQ/+RKx2Ju4EHCzIADEEN51Oo9/vx8HBwZIhR5rMgeVvTY97bjuP3te86iCATx7QSFda5q4rhuq6bhQig3SVR0mpu3v9fj/G43Eze83lOMdESQ2EU1gOhDtwV1XVCh8sx6xuKGIEEUHq3GmeEvhUcsv/mLSvabs0HSsWNeIlZah9V420Bk6Z93XK5mfFhz279jhD4BQwf1CuyoUBOD/PR6EQO+oo4mEf45kcDorq25CY2ME9Pj6O2WwWw+GwWTHqqKRbHBjB9ba8ztY4m+acBi1XD3TXoC/bH66by1K9wbLNAk3rtlXr5LzIx+A7sy2Z3DiNpi3xoHYkm73LbAUT88/lqz11fGR8uXslytK2AXLGCwzG+T73QZTDY03lr+cSKZ+urXwfz0LrUJlGnPRvfeVuRx09KkL/xxkzisVUJ+k4x3XYnLqum+BF6U3DXIbiSyaHBZ2udZOIqjPg5zDu1HKdnuGgrNoRTuN40/Y7zK/5WFdpm3X1rgaD0E6H2bneTI9AN7nnr/6DC7pxXXoWKbel5DtkVOoH/NyUJ8YMnIZtIrdXfR/GCzoZpP4llxex3MdU1/N1tlPOlrpVa9wefm6ujShjOByu7BrhbyXH13nosQ/+qAOK1T56dktErHQqpOUVMdg7C1Iw5QBURDRL9t3r15k/nqllckvrMyXOgxTkHjqnzyLumRLlAaFtyMDb0dFR7O3tLRkZLRNlMJjKnIy6rldmtjOlob81cFJS4JlM8FuBM7fPPQ9No9su2EnKIsKqgJ2y4WWEmZPiSCPlqkA1UMlt1/Zy/hJpMFXHpsoKKwbwG3kww89v+1IgxO2ELnB9oKOOzkoAb5PJpOmf3NecsxqxCqIjlp3GzGhnuunChQuN3uV0/FsBoo5d1asMOrOl8eDb6XCUrwCn7W0ZDpyiPP5Wqut6SX5t41zvsxyys+r0WsYr/3dl6HUnN5eOn4PDIzrz2WazWdcqn073Z/xrfQ4sZ6T1lMA1g3HNn8kT7SwRbJn+r6qH5//x1gg+BNrZR/QjzNq2yaCjjk5DVVUtvcGYdyvoCg8mDSZrwEcDFTze8AHu2tzcjMVi0QSQnI7JfK8IbwdKuoP5yPwbrl+xf7YCL7MTyof6Zqjj4ODAYn/nCzhfiK9nONr5FCoz9iNUl4FXXoHr9L2rTymzBfqcuZzMV1Tfhst0tkx1LvfLiNVJfdW9zs7qZBLS8/N2h3Br27QOhyG0fJYF22HGOvw2WNgjJ0e2V3hhVZvdW4ce++APBMxLHlkZRsRSQAbEg4bzwEnVTuYGDIPmxWLRbHnSfE5pOdAE0lU9yrcDhW4AchkKkHQAavt45q2kLJhf3HMDRevnaDnq10HEQJeVl84ol9qCZ+QODcVv8ICVQlqGPhvm0SkY9yw5L+7r/s82ZeVkyH3eKdwMeLqZFK3P5eG+i8g0p3XPAcBB5aOKj3nGf17CyMEeBuPKM8sE/UyXQrY5iB111EYA4tw/GaTwWWNMdb26f9utFMiAE9+bzWbNvm8X8M7GPwNDBlAYO+oIIA//dnrC6a+sfgfkszKcblX76WyQ5ldSh4GBYKle155Mf7t2ZiuoMjDNfKiu4+vOVjvZZGmZx3WcI3Wq0DYHPjMMonjB8aX2yQXAXF6HFzQP18FjwPV7jHEG5Bk+yPjpqKPzELa3qx3RcaHjmPEi8ir+LulNYK3pdBqTySRms1k69rhut2pD6yhNTnNbXYCK+dPzi5yPUdIzEbGSx+lnbo/zk1QPMC/ZChOk57Kd/tD0uvpdJ18ymTrMoM8g2wGi5bFMVNc6eZTsi/oZ7jllPgpjmcx/VWykz9PVi0ln9mPULjg+mF/uV5ofz5HL4QkQvscTdigbn/l8vlLOWemxD/5EPFQMESdCxIFN/BrZjFyUFp2XBzY/NFWwEScBJsw+Op5wzeUFqXJUvnhAu3Y58KarOHTgOSXBsuH6lSdQaXmmlscDUuvlgcffCB5wOmcoWMk6peEUp/LveNH/GaDmshRcan2uLdrHcM2BViatyylAJtcnMoegJAc9O0lXNmm/5T2sel8NM/o3grHOoCHS7cY3A3Pe/tdRR4+CXFDZ7bXOxibbGFzX8ery6lJuzD6qfkd+BeTMe8kxVV2kgMxRCYwx6aqTdcZlBoRBrp3uXlvZbcC0VNY6cmGdp7ZO+4Tq3Ijl7biuPu1frg+oLN1zz56l6mxXpsMIWo+2q60+dpzQLp0hVtvu5JqNKfRHtxoX4xzB3F6vF+PxeKV9PBmhz6yjjh4F1fXy+YXZqmYd326VON5Uyek4b6YLFotF7O/vr9SXYWItW/VeNj5KfKjjHrE8dnUyBboic9IdBnd+CGPf09gVrYP5cT5Qm452dWi+7Bk4nbuObnZ+jdO/7rnqKmHts6pvteySTWSZsqxdwEVlViIOWi4Wi5WgnXtOuI5gkeOT06vtYb+HVzPzCiBtI79lFnWqj3kWekcEfyIennodsbodJwv+qNKBkXezsM7Q6wDR5fNMrJBU+bkOof+5nO3t7djd3bWKuQT0mNcSWM7anClzJh5sJWCXlZvxoWk4GMSBEnyzQtL2sHwRIFR+kV9X1KjS4+tOJqxAtIy2wKQ+Ny1bDYW2eR3QqTxnfR/yVnDLcuQ2K4+Of64f6RSMaH4uezgcxnA4XDksl1dgcFmPQiF21FHEwyC3Bh911SmTjhXVTyUQ7AAW8ihwZX1W0sUK5pwO43xbW1vN9jLVPQ5oZraNv90qFibcyyYoXJv0XgnoOdDv5LdueSWwiv+sizIbyc9GbZiCXGefXBu1nra0pTRZXa6O0nPVaxlu4nodr84uM5+l1UhunDAQj4iV4M/GxkY6xt2Y6uxNR+cl9mfUEeVVzi4f62j3X/WQBiq4LofH2/h2ejbTbzwet7a2Ynd315bLPpj6Ylyfpsv457p1zPZ6vWYSMZNTpuecn+lsNufhe1nAI3uGLm3mu5R0Kuct2XdQFnzJytbnhPaU8mQ+k5NfaRVcWztQB788Sv1y9lc4aMNtcD6cEveBDNuNx+MYj8eNr4PrvPLU2b3z0GMf/IHgsO0L1+q6blYGcFruZBBcv9+PjY2NpX2CKIsfKCtadZJVkfEqB1U+mge88XUG8aoADg8Pl9ru2sf1uQMRuZ51QCC3zykBVSiZsldArQMlA9aZrNx/Z0yymWvlxQ1c/nZOCPeLjKeIWAmg6MysBh5dP+D6tL/zc3CKlYGwk3P2DPleKZjFMnZ18MHLesAg1+lAgco64kQhQo6axrVhOp3G3bt34+7dux0Y7+iREF4pi7FxdHS08tYV7Ye9Xq95S9DGxkZzzpwDkGx3+D/f59/Oyc30o4L6km6s63ppZau7z9cVbKoDX9K5pUkUpdJ9ZzPWsS+lukv1Zc/PpWnjB/dYXjp5xGnUHri2ZM9K6yjZ4RKvpfa39W3X92BP2mSa1cd1qA1ssy3KE8sM4ztztEHAk9PpNHZ2duLWrVsp3x11tA5leLrX6xVXQUdEY3PwUhb2d9xktvZxXj3EZWc+hBtruupT0/N3RCy9mIb5co42l+/Sq0wUM6vdYcee28q8axqu08nF6SeUo8EFZytRl/NFVF/yPdXr3Hcy/rL6M92Z8Zi1SXeClOpxtkF9cN7eqz6cqz+TlWuPu+aeHWNBJ+uS/XG2Gr8nk8nKIdKOIJPZbBa3b9+OW7dunXnl6WMf/IFwRqNRI9R+vx+DwaAJ/mQdgRXeaDRaWj6lD9gpJibXeXBN9wkqMNHf3C7+jXL4DCNuUza7BeJtOY7/0pYtBpgqi6w9vASzRJmCUAWuZWYAWgeXGghXF1/XNuK/Gi0HWLVcXSmDNLoiTZ+1Bv5Y9qxgeZ8tyqzr2i5LdcrUtSvrq85wObBcUtqlPu9kqnJlBahnDvFzUsNYVVUcHBzEbDaLb3/7261KtKOOSsS2Bv1uNBo1S/JVf3Ee3ru9ubkZ0+l0KRCj4NWVwddQFoMeJubHgdIM1OlY1kmHEhhkvrQeXHc8lH7zfwVwDqS6fBmV7PC6+Z1dgY4urVzK9KArs22LNqd1M5/6PJzs2uyp49n1K87Ln2zijPu+2mydWMmesdpybndJ5+u44t+wpygXkzSl+lkm0+k07ty5E9/61rfS+jvqqI3Qj/mlF+iPIO5/jO24jOFwuPIa6WzcK2ZzxFhVdQmPdbdtxul6tld6XitjX9X/KLu0QmMd3a7+CONjncRwgRhtU1aPtt+t5sJ/Tut0WabHWfYOm6s8EODLeC3pdyXwzfLM7IS2QX0M56Px8S4qJ5W54xvEQSPuRxhXJX8FdWVBUZc/W73EdWsfdKv6XL9im7OzsxOvvvrqmX2dxz74g446Ho+XOnpd17GxsRGXLl2KiGgccRYwK4X9/f0mMo6Bx8t8GczzYFeFpQ/YLf/SToEHjXx8D6Sd2oGVDMQp4HMAi9NyGlV2rs2sADGAODABQ8NRedTNoJCfizMOAGEKJLm9qjQcryoTvq/X9H5Jeaqc9LpbGcTPlZcaujSqRNgowcFA/z08PFwxem4rlHMyuO1qWFnunCYLPKoceDUc86UGm4nbiWdY1yfO9mw2i83NzaU+xdu+uMzj4+PmldqlNw911FEb8ZhlvXJ8fLy0PBdp3Vg+Pj6O3d3dWCwWzSF9WBUEvckrghQAOudYt4Ghfv7f5jw7sOVAngNYeg0ycmehaFm8vLptVYXqMeXd2VhO75wAlYOTYUZqb9S2OeCW6WPVWU6mJT7Vlms6tcP89knlh8nJlcfBYDCI2Wy2MtGi9h3POLMZ6khpG11A0Y0vfR4qnwzI6yfi4fZw2B1+sUc2JrifHR0dxXQ6bQ7r7aij0xLjafQz2IjxeNxMgEcsjwf2der6JKBS1yerA2BvMgeXMSljpqqqlsYBX1eecd1NwjtbVNI7XA9/gCsREOBdHc4vYufeTSjrCiLkZazq/A2WOevhEsZW0iBQyeY6f6Mt0O18CWeHUJbaMmcHuGy1XywP9RXhGypez76Z+v1+TCaT2NvbW8FJTG3XOeAFXvUtX9w+yIXxH5fH5bjxAHyjfgqPFX6JR13XMR6PG1/HtUWfDcbawcHByrEY69JjHfxhoU0mk6bxeJAQHIMsFho64mKxWAkKKChiJaqDkn9vbGzEwcFBU48qzLb2qLLKlsY5haZgE6AbK6Gm0+lS8AR5S5FZp3gcz/zbLYHkQcIz384QZNcyQ8H1u0HBbXFBH5STtdHJQesqGQJ8u2ivluv44D7Jz1flAMOuzxPESs4994iTrVRHR0dL+5u17gj/NjhNUwqaogxVpvqfn60LYvIb2pxc1SB/73vfiy9+8Yvxvve9b+VZdNTROoR+WVUns6iwEf1+v3HudIyy7oJuns/nzZYvbCXhMcMAVMFTxLITPBwOlw42d+PB6R/XttJ3lkd1NI9bvCWjZDcZMGV6VXlkncp2Zp02apnZSiSnn9t0P8rT/9mz4XLcc3N8OT4zOWX1IE/WTzW/ky0HHafTqbUpDkOofOC4uvOwFKs4J9LZIHWIFEg7TML5GeBroNXZHcWHCOjWdR137tyJF198Md7//ve7R9JRR0VCP+SjLKD/0Mey1Secf7FYNAEbnTzEbxc4gr1jHYCtKBGxMiYdbtcDp5k3Jg1W6TjjsY4yYYerqlra0sa+Btqhbw3TcatyU9KJQ9XPLk/JdnAZJZ2dXdMABONrF1hxfKreZz+0NFHK9tfx6V5PHrG8Te40PjITnrNiAOWP5c39Cb6OTjaxDeMjOrg/lZ6H8z3UPvHKNbU9+K1YSH0+BG45L8vie9/7Xvz+7/9+fOADH1hHnCv0WAd/ImIJhEfEkmCPjo7iwYMH8eSTT0aE7xxYKcGKCgo1IpaUG37zLJAqztls1vx2VAJyzCM/TB1Y3IFYMTPvGjnU8xq4c2OAuzcxOQWRBWHw7SLPaji4DOcUOBm5weROQHcANgssOdk6OWURXldW1s6sfB7oTolqn3SOIIN4Np5aR8m4oUyd9eC+lfVfZ/TU4GGcYiwpOGfK6uEgrSpHTY+xge04ESd7yP/gD/4gXn755ZV8HXW0LsGxwxJ6dhYjHgY9mFiv68og1tu84ofHiuofUF0vL48vOQFMpUBEpiuc7tI2IR3zzek4Pw7SdenYoWBbpoDTgStnf9psbwm0a9lZkMnZsNK90jPI7kM2Th9nAaAMiJYCRmrnoE95JpjTgrIJFrZz+ryUt1L/dXyX2sZ9c7FYLAVuMtnrdbfCWOvie3Ay4bDP5/P48pe/3Nmdjs5MsBGj0WilH+J3afU1fALWp2zDMDbV5gAT6pjhN361jXm+njnjfE23U2lbUSfjf/bLeMUKHHheaZEdF5DxqlhW87l2Kz53MnHt1/r1nuo+XunE99H2tqCF2jfHr6uX+SzJp2TfXPmnya9pubw2G8y+hPYHHk/se7kyMhuL8yB54gvpFCtqOzDm2OaC16ztGMewO7PZ7Fw257EP/oB0RYFbVcLXIFg8oIjyANf7TNppdZC4gVSidQEJgyn8587D575whNAFMvg318ODRJWW4y0DZi5Pdq3tfqkO5oXzO+Phyufn7wwrK9ksIOQALBscTsO8uEOQUQ+XzeW4tuvzUz74mWrbsdUR9fKzd1uzeEY7I+aVHb0S2Nc+ydsI+bfWo7JgEACgM5/P4/vf/37Kb0cdtZHqOxhfAOxsewcbdNYFetYcg3MACJCCZ/d7HTuj+dpAHkhXQnDb+Btl8hh0dbmVrcyb6pc2XVP6j3pcEEL51vzr8JA9g8z+rwuM+b8LzKutwj2VHdsA1q0uLa8oULDs+Cy1xfGmdkGvl/BC1k80MIi07MyqM6Q2P+KkDwMbAk9q+zN7g7J4izPOnrx582Yqo446aiN2KvEf9oavK2mfz3Q47ut4QBnr4m5HGjQujW/Fd65sjDHVFTgTiccj+32M4Z2vo7oq83VKfGX/WU87PO3yZbwysU+AiXyul1fIlPy9zAdclz/nT5Yoq4f1qCtf8YTaP7Zz7PvyN17frjYV8uTyXPAnax/KgU1T+4xrWiZfAy7CeM/Go/LDPGE1+Jtvvll8Bhk99sEfHvwsuOy1hxEPhQUDjw6AyDGWkymYhbB5YLmBqQ+BryNtBkod8fIu8KMHTLGjwAND+VDloECR02XKL2tbBqpdGdpu17lP48AoMT/ZANX2u/a5Acf9h9upjgSXzX2I+yvLWOvVcvFsVeG5diEvp3VLc0Gu/doGrVOVJvJkDqv2J3YsVBkivVueq/0lM844Z4GvbW5urhx22FFHpyUGDuxcbmxsNOdtZcCZ9TfyzufzZlUC2xmk52+Ux8Rjg78j1g/IO12oaVWX8Rjm1UoRq2ezqN3RMQ/SGVPVcwr8lEc3C8p6g4FwJj+Vg/LQBmwz2+/uZzrW2W7oVcene+ZOx+u9zM6DWF5uKz3yOrmpDeIx4J6hPoMMJzmMwX2Ty3KBR7eE3smf+QU5u6hy4O01x8cnZ7L0+/2lyZWOOjoN6ZENGIfarxSfoj/zykz1dfTQXNfvoXv0bbVcZ2Z7WN9rGuRTcvbT5cM19dN0tXyGl9fhZV2CTJytZtyqzzHzUZzd43taZsTquZocCAMfWfudXVHZad3az84iQ2df9Zlku2A48KV2TdvF+RgnZLEC5YsnslxarsuND8VOIH528Pd5zJbsIeqaz+dLfs3W1laz6vQs9FgHf1gQvPUpIhqh6aoV7cg6qwNFCBCu+RUkuEGTKRoHyLLOybwr6AafXJZug+n1ekuOBK9+wN581xGzQes6ewbAWbGVyNXJcigNMidL5lO/Xb1a1jqKS2eHeXCqAuH2uRkFBvHr1snllhwV/u0Ut+Z35PppZhj441aKZW1BsEgVJecD4GAeHIBHXgY12n4Any7409FZSfs4rjGwjVhdFcdpsTIIy3vV7uBeCey6a6z/UUa2RQm0jq7murhODkigLAZkHAjCQaMO/KoM23hzeg3pdWzX9cNz4UAuGK920NkD1eHaFpUTU1tQQ9ucBRa4f+mkkCtH82rbHU7hfE7XqiOK+l1efaZsD912EYcHnIzanhvXx1SacWfeOB1kjb7uHCHYHYxnlh2uZU5GRx2ViPs4nyWFCWyQ65cRD192obgfNoe3QroxxHywri9hTeUbfGRt03xsw3iMORuBMcZlQT5upSTqyHhSea5LnL7N93C8lPI7e+RwAH7P5/OVPgDSfoDynW8L4u3oyvc6dtPhIOe3uD6odiuTGT971xaXR3c4OJ7c4grmiSfA3Dji386+OJlzX9YFJ6hDF6ngOgf+zkqPdfAn4qGS0KVReHNXRP5mp6Ojo2ZGRhWHA2DZQNN7XGebc68DXDsEZolRh5bjlAUDFi2Pzy1CWlacpyEF7e6ea38GbnVZqMvrllwjjdsfrG3KlALnyZSTa586OY6yWUYnF22XGjqkc2lL9fKzygCyyt0BcffM2saClq/t1ZUNrEgxNtGXOWC2vb2d1qUyYCDQ5gx31NG6hL6EfqUgQXUjrk8mk6WxzdtekI7Bha5kdWAKvzMA6QBVyaaU9J+rg/fOuzYr+MS9jFf9nbXZ/Vf9VVr1WLJ7zn5kgNfpR76vv0v32nRq9tyUN26zUslOlvLxPbW3CqoZLHM+9BUXiOFnzDah9Mwc2Hb8qZxAmHHlSTQey1ze5uamXbXLxJgS5Wb9o6OOTkO8RRgOILYVZrrs6OioeakAxhy/2VjHJ+vwNgyo93TsuXyM2XU8amCizcfBf14xofUwleRUwtUODzNpe0vl6mTJefRChq2dzLV+zq/6jHV6XdfpZDXra8YAEbm/xv2Q+V2nbXrfkW7Tdb4Q6s0mLTQvZAByE/qZ/W7zj3iCmzEL6t7a2lqSK9fn8J9isLPQYx384Ybz3j3sdcMrd91+vYholkmNx+MlJcidWMGMO3uh5ICWFInykwEwVVZuMLCDzIc9O14csIRjnQ1WzucGP3c2B/L5uhtoPGgUxLm63KBzSowpu++UujMaLq0ekq3lanu1TSUe8Vw0KKZyYIVbcqCydrn+Ab7bytPnoMT1oo+iTKd0XT0gyAKgZX9/P8bj8Uq6qnr4ppXhcLg0S82HJXbU0VkJfQj9DK9r50Mns7dkYJYVbzhiG6ZbEjnoGZEDNUfrjMnSfS3DATG0k8GeAsUS326rZ4TXwcpvNoYzPktycKBNbVGJnG11KyAzGZR4KPHt0mi7nE1dty0Zsd3hdrJOL/WvzAY6Ox6xulLLle/aqu1xTpLypWnYtvb7/Tg8PGwcaS4fk5D9fj/G4/GS7R4MBsUzWTrqaB1CX0J/HAwGMZ/PY2Njo+hszmazxubwfegefcswdPhpbESpb2c6S1dc6Ao56BkemzpGIQOnBxXLZnqH+WmzjSgv081MLCPF8eAle3uYCyrw9cw2s37FBGpmX5RHzc/XS+cOgiddaVIKumgb1F9y8tXg0mnxz7q2zdlMbYuzK214AfZet+JxH1eZwNeZTCaWV/ZteCIdhz+flR7r4A8LSffv4QwFF/XDg0Q6LMHn4A4LlfNp/a5zu+BGiXfX2dEBB4PBEvhQgMXRTV7Vo+1k5cf7dkG6+ocHYqYwNT+n1+t8TxVsBtacwstmBDivA/4O5LXVn5Xl+Cw5S3pNI95O6br2qkxA3D9K/YrTOCWjz9jJn9O52VjNqwbbzfS69gBoM6/K99bW1spb7JQP3EfdUIgl5d9RR22EQCZPLhwfHy/1twi/unGxWMTh4WETuGTnn/V0ZkcYZLnxxuSAXpYnA4RcZrbnvaqqle0wGdiFHPCtQIvzK2U8q8xVDlk6l35dG6LPyenCdVasaB6tF+W4/LimQRfmjVfgaF9ztt09W5YTP8Osbc4eOf7dc1Q7orJ3bdUytS9zG0oBKm4b2x9gpqqq4uLFi0u8Orngra94dtAVnd3p6DxU18vBAvRnN/mH9OwP8YsIHA7VPq3laLBef5eCIm4LitqLdTA58sHmqM6AjBRXsw5VeSFNaQV/xOqbNHX8uwAG5Kz1g3hS1OkTlgfrbpUH/8dv97ycXN1/h10ym6fPBf95Eiirl/G5axf/Zn9I69byOJ3r344yP1Hlvo6/l/UTzY928So25W9ra8tuZ0dajHF+3tjmeVZ6R+yPYJAT8VCwAOZ8GJo+LHROdjhdOudgOyDnHHAHaDi/A31Igz3kWpbWBwPAM3E6I6d1a3m8nNQpnzbgwkqt1EanxDLA2SYzlXnmtPC9rE4lt+Uqy5fJJ3v2mOHQfE4mumSctzNmBt/9znh18sv4d3mUby6nVJemzerlZ63BVu1v4EOX60dEsxIIKy466uishP7GKwAiHoIdtSP45r3YDpiV9KwGgsFHBpLXKVPTqT3J9B+PS+Ur28qjusQBPLa1rnx3MKmWV9JVJZ1f0qMqK5YX8jrQxjYqq1tnvzN9yGkc3yVZ8CuRWa5qbxSAcl0oo81uan8q8eeI+XHpMzuTlcv9xAFoJu57+pvTZ3gK99j+9Pv9GI1G6RsAO+roNMTbEyMeBjt4AtjZCHbeuW9zOpDToSiDfQyk1THD95zD7sawTuy6sZXhaaRhTJzZV63fUWYz0b7MNjo9xPidcQCvgs/yOp6y9qveBb9Ze9V+tZGzCSVdrOfwaln629kW9nUYdzgfVXnQfujqVtJny2e3lcbHOhhE61A+GXPxRIHanKxexWWj0SjG43HR1pbosV75E7G8vEk7FO7pIAPxAGLF6ACou6dlrCNkLo+vOUCnW7dcvZlSYyXDM7Lcgdz+WP6vCo7LUGVWkiffU9LBmil8N2vA1538nVwdr5mi57bAqLiAkBvIvBpAV58xby5Qx/xFrO4P5llFrleVsxqEiLBLTJ2xyORVMnj8m5c1ur4KWeK/zkJxGe65sqJkZepkyPdHo1F35k9H5yaMmeFwuNSXYWtwXfM4J5L1ihuzXE62jLpEmY5zgBG8uJlR1YVajuZfx0l37dXrTgZcXxYsaNNpmj+rT0nb6/KwHi6tdmxbyVoi9/wcL9lbF/Ue2yP8ZzsJu8P3uCxgDbWVbc9H+XXYok02yqvW4VahMU5hHjV4o3Ymc/xQrrNLzrHpqKPTkgY1QJgkZnynugl9Hf0T248VPykewzX+OH9Fxx/nY38gWz3keHb4j8ewToxjol+vq+5Rvav+yjrBBZYnrjmsD8rObq3rfFWU8q4BpMx2Mj9cX2az2nQtyykjlZVuG2x7tu5Z63a+kt7VvqwBI9XF+uyZXH/m4yPW0eWKUdSeoBz1px02ctsaI5ZfJ895eFV6CcuU6B0R/KmqKiaTydJSXQw07oBZVFpntFjJuTz41jz67QSfgTwFSfjWw6gVrLry0WbkRQfTpYYg5YfrQlpdaspt5etuMDPfGSBzSkjLLoFolMuvE+bydBA6xZqV64yGDlZVyE5Jlgxkm/JRBZ7Jyt1zALRUXkmxlRwe1ze1bW3KW+viGZLhcNi8tjA7xV754xVWCAR3r3rv6LwEfYogD79ut6qqlSW4ILYr7oBZDga7FZ8uSOqAunO0M1vkdLKm0bbrWOeVTNiqjLRoJ9sxXEOaEp+ZzlHAHvFwthHyUxvM7dStVBkAXsf+ZzrZ6b/M5rh2871MX68Djh3PbfZEy3UvxnDp8Ty5T2STANpOrdc5YZkddThC28xpNRDr8BdWiyoGU1zA3xz85LJLjmFHHbUR3gjJTq3qOHfGB49LPhuV317Hep91J/s/qu95bCk+z/QD+r+ujC3pgIw4L49n8MEvSVAsreXo2HfENiPjs6TXS6sO1Q5rOtUteI7ZBD3y8EpkPTtJdRTbQ8fPOtjd2VVun/uf1dFWd1UtvwXLlamT61xWVleGvVze0kSy61M82ac8ABNp0Arp3RZHLh/6Aen1Teanpcc++BNx0nicnxCxDDgZZGoeDA7+r29diVhVZOz4r6M0NG/pNz98VmIM/plfHtA84wa+QbycG8EclI86WTk5ZbHOIGV5ZPJxsi0pG5ZNm2zVIDDpfl0t1wFzdiRKwNmdpcBl8OozVSjKKz8XR6hHV7S5uiPCzga558Ry4P7EhpXr0eeWOSgOkOiz0gAstw8fNuaq1BT48/PCAdGQBb8ataOOzkLon1ie2+v1YjabLc24OJvAOsht33TjF/VletLpOlxf5z9fzwJWjhcFQA748xhWe6Jt5zELYKc8OQfDyYvzaDvZRmay4etOT2egv2RzMl6yZ+fst84aKkjM7C/zrwFELUfbqu1xfOI7O2AyA6zKb1Z29l95ZNuldWl9mkZtDXARgpn6zDLswZNlLM9u21dH5yWeMMBYhqOH+xGr483panYUsxWlPJnJ45zL0VWvuI5vDlAAiynuZLzJ+ZVvnXhgnoH13Jv7UCbzCxlwXVy2vmEzW1Xl9CfLT302zYfyWH7abs7HfDj7wn4iPxcOzKi+Y5lzfRpYyfS0lpXJSfMpOV70eokX1Km8ZHYJ/cHVy33FlenSu+fmgrMqd+aDsRG3ydWpth9+FHZDncfXeUd4Sb1eb+nwzMlkEnVdN29ecMSdmwXOr4hnpeUcWwcqlPikdVUynE8dAAcuHOhhpZN1KF35wYbCDaZMcWpAIGu7G3iISro2uWtah7ZD62PSdnE6Z1xU4ZaUsspBn6HjKXM2sj6jzpRSpiD1mvKgbc4cIKdo9I0BuJc5Ijzbnylp9EUNdrE8uWysruDIOPjVZ4f7w+EwZrNZow8iTs5pOc8p+B11hP6KM3/wG/2MD9tzgQE4yuiHWCmUBaJL4MPN7pQC2sjndJQbp6Vl0Znu5nENfqqqWlk6rTYr032qh7Q+pao6cQT4vD9XXtYWl9bZj3V0sdpQTV8CyFpeWz3Z/cx50LIzWWZ2UnnWtJkd1rRZ2dx/2+xdFihyeRVPZIEg7cvIp6DatRHXkHZjY6OzOx2dmRCIRH+qqodvLy1NOKiDiHKAqbjfYiuYjmkeH1lgPdNDqEfT8RhRDM2TfM6/0ToUY0MWDqfzdZaZOtucbh37B7lieyzbrNKKGNeeEnZwtkdti9OtLr/T18yfmzB3upnL5mvZBHaGSTJy7YuIpRcigXixRNYuxyuucTCT+crwjvKtz5rTYZWdjiGd/Na3gTGPGUbDzggeC/q289PQYx38gdBwoB4Lj/9ns5kw7CiLy+WPRp1VaThFlAEjTuOuO2VUUgARfi+pU6bsXOjys15v9U1n+tttH8qMDfPJUclSWxxI5jRuMLLc8K1LWJmyQakDMlN4XL/jQ+vgdM65Uj4ZlHI/c/mcUeQylVSBshwcT04xujLxzTyhr7HSKz3TLLDHwAX/8a0z2Kog2XiznPS1qB11dBpCv+Lz5KqqWgLmCAZFLNsNfHgGk5fZq+7gbbsoV51aBb7gEd+ZnnLp+Xemt3ls6aym2k1Oy8F/BT8uYOD0nvKa1Q0Zu5lRV0ZbgKZEbTawBIBxv7Sl2eVZ1yHB9XVsLJevcuDrukIr21Yc8RCIZ7bPAWpuXwlnaHuyseDax7Phrg62OToRpveVHw4UHR0dNYHgra2tzu50dCZCf8LEAq7B7vBKNR6TIJ6Eg05HmdA/WbAAdfHvkuMfsbxyJdtK7HQ82wuuS3nQVSw60cAyU/2kZbJuyiZpnb7UwFBd183kJLcFaR1W1jbqf2e/smekGFnrKR3doc83w+NMbhuc5nHll3yOUkAow/qlZ6rPx/UnVwfXw+Vn9gh2zgV2lE/w4vxZfu66TdC1nycm8NzY/9rY2PjhDP5EPIy28sOu67qZZdFoOIPqEijXva4QaAZ2uWwesKoAtDMyMHIdDNdYaStg4Si2Lver69pG3fGfSWcBXLtcPiYdKKpYSw6IizI7AJqlB6/cDo0CZ4Yta1Om4ByVFEWmcJxsOZiXlaX1uLTMF745mMTPiK+pEWE5Kbhmp5TbpW10PDojw3W65fNMCPy6AJmWx89xc3Ozm4Ht6FyECQesOIU9uXDhQgMAXTAZ6VgvLRaLpf3cDMQVBGdgyIFTHeeZ7nE6g9NlvzN7gm+s+GTAqnrAlV2659Io6GsDh1ou6zS1x0x6rZTGORGZoxQR9jnj2fGqS32eKEP1qNpGB4IdZcBc7bDjXfOgPHcts1Wadh3SvsXPsJSurS62hdre7DW6bqIQebuVPx2dh/r9fozH42ZiG30Tq08d9oxYXTXA/RL2hv0hpFP7oxPGWr5iO1xzby5qswVaht5XvMmTMKVtVlq21u+oZDddOv0dsbpy3ukclW3GW3bN2QK3xVfLd7xkkyacdx1dVtLDzIOrJ9PL8HM56OFk23ZP26P9kftUG2/qN7X5uk4WEcvnbXG5DlMwVnR+ZFVVsbm5eSpbyvSOCf7w276Oj49jf38/tra2VkBTxLICxEPCPtHFYhGz2az1QFhVqJmy5WvuoWqQSR+UexuHlq/KyHVkBI10RoB55wMaHegBlQIiKpdsL3EGnN3/wWAQo9Eojo6Omi08qgAVKOu9rM3ufqldTnlmxqDU7mymF2l1ph91u2fN7c/qV/5ZqfBKI67HGbuqqpZWiOE6r1BAP8YSR8eHk5+SRu+n02kcHR0t9eVsDKFcbDfkOjc3N219HXW0LtX1yZZCAFv0t9ls1vR51bXIB7uzWCxiPp/H8fFxzOfzWCwWzVtb3HjlbwXE2RjK9OQ6aZE+AzKZXuL/yKt2K+OpBI45vYLaTM+o/Bz/7jecFmwd4+1jDJpLgL7Nzjg74DCAsy9ttkbPqGmzD4yRHMjlfovyS+3i6+u2yVGbY+Z4yHCSTlTgGtrFv4ElqqpqxijbHbVtWg8wJLDS0dFRjEaj1nZ01FGJYHNA6IuqS1zfH4/HcXx8HIvFIgaDQczn8+ajb1ZVHMVllmyQu8Z6hfVTaWJvNBq1vl0Q5MrU9KqH+R5PtjCV6tT61/FlVC/V9cMtobiPc1p4QsjVB73ieMQ1tyLT8ad5szZy2a6NJVJ/os0PKOl9hyWcDJzt5WeOdHqd/RdnmzNemQf+Db+a/W+2HVwubAU+o9GoKQt+jPZrPGvGKbj+Q73yB4LVc3rw8NhI68PhB4EHrcqw5KC7B14iDZo4gMIdQRU6KwO3tEzBG75VSXAn1EizOvbgU2mdtyVl8kOZbRFJls1wOFw6zZzr4N/8qkceqCo3NXLOSCCdyhXPUWdC3FJJV69THlon18XfOuOh7UR+t+rAGbIswOOMufLm8uvyW+5P7pk72fN/noWHQYSi420drl11XS8500jLbyPqqKOzEJxDLME/OjpqjK97xSmPLzbi6M+z2awJHK0DqnRcubGK+6hLSceeToQw7xng5zaCeIsBH5qpdrgEmnQlL9u0dQC9a3+bvXHygcPe9lwyOWdOEZ6bksMTrp2OtI2lNmfPzl1n2Wc8u/x8TZ/5acmVUQLjEau4RZ0ibaPDBFVVNYEc2KD5fL402ajtxniu6zrm87m1hx11dFoC3uEtJvBz1O6wPuQgJAcvOfgTsTp2VedxGUxOz/A1/a08Op0xnU5TjOZ4yPQe+zo8rtX55snLrExHmb7jPBmOZj5gb7FiGM9U26RlOEK5yMM+QolX9wxdeteu0vN3tI4dKNku1wfZH3Bb75xflfUb56eUfHP2B7ksHqeuv/NzBwZD2egDmHzIZI9xz5OHuIc3VZ6FHuvgDxoc8XA/IwIEGxsbsVgsloy0Kh2NlCvgdB1Ey1GlVgJS+vCYB9wrba3i8gHQGQQpOFIjwTwiHUc3kY5na3Fd28TlueuZ3DKFov+dg7BYLFYUjvvWch3A4+sZHyXi5Xkwnvz8XHo3eDM+mRzPqmwUfHLAj/tHBj5V1pkS1AAm2qzpsv2qLAfXb7lMXNfVAygD27d0nOlMjj5/gPiOOjoLwaljHYt+N5lM4sGDBytbaFX3oY9ilo/7dimI3OZ8u//rEOsTgA/VWSAFfO4+l8Flalq3vJxnsnGN72ftdPbgPMR2R2fGuf4SqObfnLdtWTiDS9VfztYxT5m89L7q5CxPdo3LVH3u7Ef2vLJrbc4XsAruax/mcpw8uVzXp1EWnGe0czAYxNbWlpUF91u2gViV0AV/OjoLwea4ADpW9DgcjW/0Y+TjiXENQGR6n7Erf7s6S7pNfSA9ToPxWaYj3HWU4yYctF7WEwi28NhVHVbyHUq+miuDbSP7cRHRrG4vrSxch9TvY4ye+Rdt/tJ5KcMNJf/H2RSkxTXVs6rD23BAmx8IHvBxbdLylF99JT2nxf/M54mIZheTkgvssv1j//S09I4I/vR6vSUF2O/3YzKZrJx8zZ2fI2zHx8fFN4MxIEW9THgLkQ5W7YjagRhQqkJlB17bzB8GNQ644DorGKfEWFmq0tC0zIfyVnIIMrCclcNGS7e/cT5tQwb2+JrSOo4E15e1s62NGWAH/3reRKaIM4dA5VPKs+51p6S5PhccVFllhlPTuog9E/a3oy6XhvUA93us+MHrQDvq6CzEoELHxNbWVhweHlrAwHaHP6qbFQDweOF60Y/djJP+xn/QOvpJV9ZlYFAnTXSvPLdF62CAg/KzWVhtlwPHJefD3XNyyOyO2nMltlslneh4V1uDay5PZi9LtkgxhtozzuMmoJwNcJSV6cpyz8HhGtdW/NYtvTpenB1XYpurdhS/eXtGZv/1+ev4Ho/Hnd3p6ExU13X6Jq7JZLKyckCxYMTy6gIEHpxtyfQqMJXbzu/Gr8PU2ibW/3zNjatMvyn/KJODWQjwqFOt9WQ4PWuvS+v0h7NzKiuUM5vNrL/UZtMc9mY5lGx4Sban4aOt3IjVyYaSLXWyVluoZwBFPHxrHZevZblyszZkfokrG3iM4wlqN7Jzs8AX8mMlWGZv2c9BfQiARjyMTZyFHuvgDxqOfbC8bF3fLMIdiQcnDu6rqmpJuerMLdKoMHEd9Wczt6yYmXf8Bm+6D1Y7jDvsyoE1/c3pUC7/16WUrpMyT1xnGxBEOap8MkDWphi0bVkaZ5CUv9IZR5niyYydpuNn3eaocP/IyuM8zqhwu9WguHxcPu7ptsSI5TejcDqtw8mdZYT+i/NOMmCOMnCeCvIcHh7GeDyOra2tGA6HsbOzE9vb280sLOrTLXn9fr9Zql/XdXfwZkfnIvT/8Xi80ndHo1FsbGw0Z1NxnojVsTYejxuwx4Zcxw4fnhwRzYq3zO7o2GeHVPngcc9p2OFlykAU60K1va5etIPLdMCZ07u82TNiPehAsgN70BkOjGlb3T1nu7K2O55L/0t53PPWdmk+5wy02WPuS5yfl9s7XtQmZf2Q87KNQVoF4VqO2nPHt5OrYizmeTqdNoe79/v92NvbiwsXLjT5dPU0ro9GowZfHh8fx/b2dmd3OjoTwTaMx+MljDadTpccvxLh9e46RvRAeYfT+INJNJ1gLq0gdGNOD0HOghPs8LPu1okJ1gd8LhLLL8K/WEYnc9wKdfdMXHBFy1e+US4HCUo6KbNT69gHrtPp9cx3ynQ0/8/4ZR7d/cweu7SZPdWXGHGwx9kFh1nUBrpnVHr2zJdiBh5DvGrUrcDSPl1VVezs7DSHu/f7/djd3V05v0cxCr6Zn/F4vDIW1qXHPvgzGo1iMpk0/xEMWiwWMRwOLQB35fAg1qgcImnoDHxmCDoHHjQDAQcaNeDChwgy2HHbh7hD8itUS23j+rH/j/ni/FkZugJJB4oDygpK+eAqfFjmGmxzZTtqU1SOZ5UNy6FEapzWUXboG9msbRs5xcSDm6O8ypNT9gqwXR1sxEC6pJ7L5vGB8rLtKeiDqrzV+KJOjBE4xRHRHMr++uuvx7PPPhuXLl1qxh7qmc/n8frrr0dVPVwWjSWQ29vbzVktHXV0WoLd4Vc3A8AdHh4uve61RHVdx3Q6XcrvtouxbdAAbEQs2R3VuwxG1Ybx0nrWK5leKwHODBjC7qBszDYzT6pTua3rANQSGIWtVp2nDoM6EQoKlUcF/SwDrSOjzHa6e6clB5pPc7+UPqL99fUoN7NHpWAU7kP368yley6u/3Ea2C/FYYrj+IPAKvIg7Z07d2JjY6MJADFPeCkFADfsFoI/nd3p6CwEm7O9vd38R7/Wc09dXrYdrHcd7kY61c2Zr+AwoXOOcYgzBz10y5lix8zhx7eOd1yHLJxd1AkWxbpsB9U2aF16rAjbHNYtqntwjes6TUCH5ZDlg3yZV1eGw95OrmzvMl+Hn4nLl/kf7reWz89Bg3N85q8rQ210CVfw/VJfd4EjfubAPVqu83nQB2Fz0D9ns1kcHh7Ga6+9FteuXYtLly4t8TSdTqPf78eNGzci4uSNkuhTi8Uitre3z/yigcc6+BMRjVLhDnV8/PBEe7ddCAQnkaPYDnByhFk7jCoGBq9KriMMh8Nm5pf5dMAFvKAs7gQOEClf2haurxRE0oFWAnV8jeUIh5/3HXM6bbvj3cmypDBZwWftPg21pdd2sILna+CDl+nxs1MHT9vIwUKuN3uGLrCjz0eNoWuP4yXioVFReSOfA+Q624RXZ/MqCJ6FZeLx6sYlliV/+ctfjldeeSXe8573NBH0iO5V7x2dn6qqWtmHXVUnh8NyoJRJgwc40A8AMgOzEcsglnUq62MGsDze+b+mzwIXEcuvald744IiWg7raHfeiRvbGdhyMlE9pW2BM47JILUtaqvV5isxH+tOKmXtaEtzWkegRKexW+662n22UaAMr7CtUSr1PW4/xoeW6WTEZTLfnI/bhzeJ4s1CSMNL7rXfR5QPk/7qV78a9+7diwsXLixtndzc3FwrKNxRR476/X7z6mY4eIPBIGaz2dJ2eEdVVcXBwUFjd9jJdFsR67pemhwA6dEEPAZ19QPndWNJfS22YRyAYp4y/wfXUI4GcBx/ahOht7QOTqN1qwOvMgLpCleUWdL3Tu/wb9W5fJ/1k8PljJkVN0AWTj9nNr/ka2qZ3K7T2DjOx2ctcp9RWTB/GZZwfOp1Lot5UTsD2+HsFX73er3Y2tqK3d3dpXLU3wF/7DPjo1sZv/SlL8Wrr74a733ve5vVphHxw/22r7qumz2veHCLxaKJiHEE1m1rgqOIV+xB+LyKQOtzINwpJQdEtCz3enX+1mi7CwI5HjXAAj7V6ebBop1c82fOv+bJykEndorT5dd2aV2aRn/zTMfbAapLvKlyy+SiADVi1SlyRirCv9qyrW2ZotbfIH0GahS0LAb+pXK1XShLVwShTJYjKz/lE/0Kb7PY3d2N73znOxERjV5AdLyjjs5Do9GomXGqqpOlxw8ePGjul8YB69TRaLSkEzMH0/VZt8LO1aVgLVuZp2BGy9Bx6Phz4xq8usAA18H1KFDTa66tEatbmNm5UVur+TLb6dqXUeYAZfrZ8eLanumsjB+VGZfjAL5rH+tYfn7OAdTnlwXWsmfs2uXq4PIyp8lhqawuxmDZ8wGOzMYb593f34/XXnut2aLDTkFHHZ2V6rpeWjkGP2U6na4EFp1uxTb64XDYrAbQcaJ6hn9Dj7pjBngCE9eZx4hYefMdl686JQs+qH+V6UUd94y1nU5qc/Szey5QBL9OSe0h16ttZTukE6klfcfl6mojpwtZPqoDVU4OUzgfQHW9430dX6XNNnE/QeBE0zhMgussowyzsF3LsIf2LbV7PAZw/fDwcKW/63PmfqHPT2V4dHTU2J26Pgnc7u3txcbGRlHGJXqsgz8QDowsdzAOkvDKBO3QUIh4AAy++aFyHlWOAAcRfvCqgw7Kyi2BFy1fO2RJEXKwgDu+KlSuj8vL0rOCUSPAcnBKS+vKlLOjtvtKbcqGy1wHlGqbMoXmQLHWx0ZAl+JyfcxbyTjy/XXauY4ydsCgrf+VDAOXyzNQ2g8zMML8Z/d1hRC2jJ2273TUERPAA/fV4+PjmM/nzSysGy/cn+u6buwPv3nFjSH93QaMNW02zp2uwDW3/F5tlBvfWp+ufsza5kDPafUS235cV4fdrSApycvVc1pqA6RnsXUun4JWzbvOc2CbFLHaD7QOd9/hg1JdmRORAf+s/U6mJRtXVQ/Pi8gmt5zj4Nqitob/43Xxnd3p6CyE/sRbQiKWV0HrDL/qUbfyQvUz51sXh2udEfn443TsN+C/+lGaVutxdiuzVVlZJf5dO1TvlXh1/5Xftjatc2SE6kLFJtxfQBwcWsffcddRVxsO0Dpcfeukz3gBhnJt5nKyreRqt9wz0/uuP+tqM77H/OANXLgO30cnCLQsvcd1YNIb500eHR3F4eHhmV8y8FgHfyJOGj0ajVYUYulBIU2/34/Dw8OIiOZAWC4X3zzjpYoze9ARDx8OzlfQTqRLA1l5414WmWTe2jqH66SoH3VByWSK0rVLy3TOArfF8VcChhlladYZJG3kZhxcBF0j9pze1VeSgeYpOR9aZinNuvLg/uhWS5XKcUpwXdJ+gwAQy5r7fwncsMHhfoz/OoY76uishH7FS48jHgIrXnbLxPYI92ezmT34Ep9sBhTpnION/7zVqqQzuXy3ci8jB7T4eptdBDmn2wFurZvHOF/jNK4tmZMPHeH0Q4m3jFSHl8DxOmUpiOTrGa/8X1dLuvIjVgEo2xnFCkif4Rjky/oE85fx7eSosmx7Zg7HQCa4rueDoJ08aeb4RH6WAa8UqqrqzAC8o45AimtYh+iEogt8YBvXbDZbWhHA5bAtW6fP6zjUc2a4bPVlQGpz1tGJme5w/lJWpsPwWn7Gh04wOD3scLwLJGTtds9Qf5fa5GwF/9aVYo64fZntyfxLbYOjku3Gfe5TGY5x9ThZqa/DMswwhtbh6nJb57hPIh/7JyVfx2FB5l/lBOLYB+z1WekdsUGZl0zV9cnsPp+U3dbxkH9dA68Pn5druaVzbqBHLIMm10k5P665JZeuTUwOhKty1jLXHbxOPiUqPYu258TpdH+k4wHPlNO6yGo2QNgB44GswJ3bxd/aL5U/3ctZko97Jno9k5mTjWt3ZoBZyWf9TUGJS5M5KcirSjLro7jmVkloOxwPbfvjO+qoRBgTk8mksTfoi7x9WPMwzefzlZWmXHZm4HGPdZq7FrH6pi18Y7VRxOrYctfXAXDKtwIglYVuZ3ZAjevW/Gp7VTb4zecpsT52tmMdnZDp27Y8pfask18dLdcn2mwBrxrIbLXjVa9ldiAD0I+KSjawROvYV07HNt6t6M6Co87B49Ws5wHiHXVUVdXSoc6wPYPBwE44ZDanqqrUj3DfJWdTV5ioPUJ63XrrtsZo+SWHHuNQV9up08zluPYqOVmchpg/va5UWhEb8VC2auvV7rtnxHlV/zvb6/jk5+oo08FntXH8m58jL5zQ+hVLqK/sfEfmUfut40vzaFuRRu0GVnNrG9WGMK+uT3DfzuSsvyGT8Xi80qZ16bG2VhDGN7/5zbh9+3YTOTs+Po7bt2/Hzs5OzGazlQOVIcjj4+M4ODhozgHR0/K1cyGQUBqoChoYADDfdV03J9/rsj4FK0iPYAE6VQnAZZ1Z965rsISvZYrUgRztfCXHXR2ETImoEs4AJvOizoRTAlpGFnRw7cn4dobGtdsFg5gnt8SzZCDaFK0aRpTBfaBk3JG2Te4lJbquMSilc4aupPyy8gGgHqVT0tGfPoLdefDgQTOmj46O4v79+805DKr32cDDJm1sbDRBJJQLcoEN/FYHnMc5PpjpVXDN152ed7rSAcFszGVAXmeEkaa0GiWjDAxmfDH/6rCU6DQ6N9PTbbJZt1yXZp3ZW76f4YXsOv8u2Qmnk7N+ULJnmobLzJ75uthjHfkqXzqZV8JcDkvxaqvO7nR0Hur1evHyyy/H/v7+kg+zs7MTDx48aLaSKLE9mM/nMZlMlt6gV1pBzv6OG/+8ug3/dfUJrq8zFlF2ttVUfTK+Xqoj01clHtQeOvuY2crMUVc+S36cO6aE69F2OD3bht0z3co2YR3/K6M2He/al/nYjs8MVzDvup1eAy3uGZRseLa9F/c0CFTqLypj7jvu+Wf/lVA2v+jmtPTYb/uqqir29vaaPdURJ53n/v37zVvAoOh0qd5isYibN2/GnTt34uDgoNkChjScln8rWNKtJHXt99+631wfD1ZOq4PEBR+yukqkjnTW4Utp+D5Il3E6AO7Ibclxyq3khCgf+rx0W5Muhdc2luSS1eu2CXLbnNLjJYDMG/7zmThad9s2De0v6syV5OqUvTPOrjz97crmenl8sfLj17y3lZ3NaHFguDt4s6NHQbdu3VoK8gwGg7hz507M5/OYz+dLe9Axhtnu3L59Ow4ODtIzqEogS3WpswmZs+zylADiaYnLZFvYpsvd/cz2OHuoNltl0WZ/Su1vA1suj9breNX6na0vpSnpYeXJ4RLHLztwjEsclbBIW99ps6PumWd9VZ8/l5v1JefwwN7w97r2THnjV2WXthR21FEboV/t7u6urA64e/dus40LqyTU6ZzNZvH666/Hzs5OHB4exnQ6be6VbE/J38j0Jc7Q4j7vfI1MD7Kt5PTKr9u6oxiXcTXyony3qi+TidMZToec9lgBPCvd+h0RK7xn11mvuzY4Hc4+idP/KJ9XJzvb41Z+ub7i+o76JM5Hc21h4n7OR6VkeEB9K/gZSuyXoWz1ybQ9uJ/ZHeTTPsr+TmZzuI+ynXHyVh/3rDbnsQ7+1HXdHHBU6hSZgkH+iGjKwXUIMNurrcunnRLgupin0oCBItBX47qBkAHFbOBph1K56ZkvLCdVFiVApAPHDcQSiNLzcbR+ZwicAmSHvwQOdUCVFJcOXAWwrBi5XL7mFC63k5VZls+V4Yxg9p/rzQ4kZ9loQM85CPyMUB73GeZRzzLRMcT/NS/zoP/5AHfUj205rGAd4Omoo3UJqy/dOMzAasTDscdbxXhygnWmA1yZfmFgEpGf48blKWBgIKR6LWtfNo7UbuhY5TGvdkeBjpOj4yuzQ+d1uNtsFtehE0zKi9pQ1qP6rJwO1z6R2Ut8l3CRlq1tcU5GJovSPS1Xnwv3X9ev3LVSG5wc2e5kZWUgndOUeEDddV03b5uEI4ztoJ3d6egshD6lh9pqAET7Kfox8rvfbuUE1+vGrQYS3NjjMcSTrKiT0zOvDoeWSGXCfKMudvCdj6O2MpsUzuSsMnM8OJmy7lc9ruUzj/qd+alq41FOplNZFnrN8YLf/KzVDjgblel5lrubcHCYhf9rG9r6bsSqjw/5qK9ZiimovcA1x4P6Pln7XLnOvjJuYx0BX+eH9sDn7A0KHCjIjLp2PAdauOOz4N1yriwYoEGctpUauqwMpNFq125uhwPUXJZ27MFgsJKH+VDZObDnwClfV6Xl+HMAlcvX/wxWS8QKnJ+DOk/OGGn9XI46Mio3vqZG0MlQ+QNwnM/nRSPtnnOWlkkPulzXeKkRzRwgffbsELrl8SxfN3b1GXAe/s1AnPtUB8I7Og9hPDg9zfZIQXU2dtkJ5vIVVEWsvgggA2eZ7ud0Tk+7SYvTgnHO74CK48OBPpat2oos4OHqK+lGpRIYc8E+l6+tLsUdGvBzNtTZIM6vMgK5FajI52TGfRSTUAhUMo9Zu5Q3vad2ntOVsASXWeIh48uV6+ShY1Hbpfcd3uL2Mc7h13R31NFpqK4fThLoGChhdBBskU6Ecvnq22STjyUM6rC9443vube8cvmlQAGvPuF7GrjWM4c0COB4LNlCls86pJiaCTpaeWYfQ/l0vibzl1GG57O0WZmu7ylpMI3zqc5H23FeolsN7fS49kcXYHQ6W5+He75V9fCMWATxnQwcZRhuneejY0ftSiZr9CH1dc5Kj33wR/fFoQMAIKqDCNJOhCgZH4qIVTjsSPIyuKw8/r8u6GQqdVzu3C6CyDIoRVCZT1UuLLMMJGo79b92YjcAS+1Xhc+rTPh6iRcuD/d1GSqXr7OymYFkR0Xl5JQ353WHijuZ8LVerxfz+dwGzJjXTM5quLM93k4Jon5tMzu5SOP6EX7Xdb20wihi+a0yasD5kDsem9o3MxCuOoCBz3g8PpXh7qgjJacftM+t+7IBtjsYazw2eNyrXVCedNyVrikvbcAE/DI44jJdearTWF/peHftynSSpm2zsae97/RqVp/yWLJdmdy0XbAzyF/S+64s5jF7kUXJnuMbEw6Z/FydpXKz5+d4U/vMMmkjfSbOQeRyQTyGMTZ1HKsdUkeCbRc7KO5cyY46Wocye4J+2LalkMcd3j7MuE11P+6tw5fLq/VqgMClycp3/53/1Wa7tDzHuwukKK8Zzs98EvYrWHeo3tCySnYuq8/5g0rOhrc9Q1dmSc8rr1o39zu1GTi7KpskZzugZXFbuP+6VVwlW6R4rPQssj7D2361bv4oblQfNZOVwxl87by+zmNtqSBgPkhPjS+fF4L7LCBOC9L9pnBcAQY4KsnGPQNjek07ogJN5jPrbG2dsZTX/Xf5VGFlys0NJiaOumvZqhC1faWAhvKd8ab7Nvk5ONCqstPy3BvDuC9xn9B2Z4ZW0+D1hhHLDp8LxGTPXRUm88W8aluQn5+LPqNMdvp8NNDk+q17fpky1PHK40mVNGYRlNeNjY0YjUbRUUdnIdgV6AHuW/p2Qc6jNoYD9OjHDBhQLuqaz+dNOQi+lpamZ/WX7ARfz8BhpofXlZ377fSJsxtcb2ZzSs5EiR93vWRzTgOq1L7rNaeL3dlkrH8zXlQ+pXbyPW0fY5O25+yen5ab2afSs0S5fCaGa0vbM3d4gvOirl6v1wRonP1zdlf7seoG5JtMJt3qn47OTPB1IpYnE3kCQUmxnOoJxmd1/XBl+mAwWFltzuXx/9K4BClvDiNy+awbnS1ydqRkb9011inqczji7csOI2tZLmhxdHS0oru5nDYdp+3BdU2P7T4ZXtcykCYrP7N3VbW8dbmtH7jyud26/Zzbx+3nBRpqP0s2nXGFq5+v8fEQ2m+yLWAlGbuVZsB7sAvO51H+XdmwOWp3zmNzzhX8qarqfx8R/+uIqCPiP0fEr0bEtYj4lxHxZER8MSJ+pa7rWVVV44j4HyLipyLidkT87bquX2mrQw20GvLsAR0dHTXOYSZgB2h05omvnweYuEGKe22BjnWBD8rXvPzbOTRaDq+s4EGbAVCniDJAWVIepTZm24aybXIKSNvK17QlPkrlZfe4H/Iy26zPcT5XtpshLRnJbAm+GkbHn+ufTrE6/jPAj3tQjjyeeXzq2OE6YRT0ELXxeNwd+tzRuYj7ZMRDBxz9TME4xgi21+osbgmk6cxWRCwBE5AGhbmcNgDv2rdOujbKAKqzOxzwUsoCW06XOL4ZvKqOVh3ldBuXq/VkdszJvKQPzyLf0wQ9tP5S0GUdvh0fmS1wz0Yn2bKydQbY8ePayXyU6lA+eeWdruBBuqwcVwds63nevNLRn25SzBOx3G8Z5zCpP+TGieo5XvHAk5mMKR2GbMOq+K+TmS7wDYJdcDqAxzWXj/RqmzWv80M0CKH31X/SbWclHYV26xlF2cpMlVlJR6sMVd9zP1Ad6XS7puH/7ggI3GOZZXYya2NGmT3P8E2v11vaSs19M1t5yeMIlK0ydbaO/+vYUjvn2sS7jFxMQicLXVudXjjPyp8z742oquq5iPjfRsSfrev6wxHRj4j/ZUT8nyPiv63r+s9ExN2I+HtvZfl7EXH3rev/7VvpWslFCp2i4w+n106PfKpI6/pkzy2/IhHXOR93TO6grDy1o64L+tqAXgk8Z8QDNgOhDrTpvVJQiTt01hFVdlqGtlEVTikd9wdVRqqYNL+2Q3nke0zZYHXtxjeitBysYP41EMKOnsoiAwGZgtfr7nkDELjyXXtcvU6paV1Zuzg9PrwdzPWb4+Pj5g0YcDK72deOHhU5Y+wMuwItpz/cmx4ill9GEJHreQUkIKfbkF6v6xhyerBUl7Mnqmf1P8+oalmsu51dLaVnmbNOYf2pz0XlktkHd93Z0Uy3lmxbZv/Wse+uTr7u2jAej2NjY8PeZ7vNAU3+765pfSW5ZLjGgWfm28mohAdKpP1W+5JOIrAstF+6GV5n6zrqaF0qBSC4X2HLTJsd0DGtk+j8QgJ1tLHTgn0k9W9cQAX5lScOtOjYQ54sP9fn9LbTv45HLdvpEchLP65eLUftH2/pVX65vjaZZG/C5QA2rmteLtP5HJkM2X4qj2pHM5mWVqplOpLtOD8Pzse2iMvSPsakGINtjpM9rut2ffcMnQy0Pc72OJuTyYtJ4xw/kODPWzSIiI2qqgYRsRkR34+IvxgR/+qt+/99RPziW79/4a3/8db9n69OYSmravk1a9nBZpoehyThmj4QN5OqxMZeo+MagNBDsPT8IFW2WbRd28L8tykgros7Og9ap1Adj6V0Wo4ODlYWTmGU2qIGRQeJU0Iu0KBt0npUxiWZIJ0GHp1y5nRsQHQ7Uhu4LfWJTCln+bJ2oc+6wzHdc0W+0n1WpFx/ySjrc1TlqOMoOyuldBZLRx2tQ6w7+T/6L6901PHKdicLHnBeF/Rwupy/ub+X+jrrqew+l6H1OJ6zOkr8ZMEcrcuVqfZSQZvjeZ02r1N3qU2ujkxXurLW0VGclu2eAr7M/mLmsGTXMjuuZSlWcc/dtVv1u/Lq+nLW55xz52TkZMj5+bpOtjiwr+3X/pg5Ox11tC6xzVH/5urVqyvXT6O3swlz9xuBIX5jmCPWK5zf6Rl3jqpSNtYZ/2k7tX7Nr5jRla88uE+pXJZpCRNrGr7vFitwu7QcDl6Unr27ru1FeaVgzWntVknu61Bmz6CHs37pAo3MA/67SW6ME6TXvuzk5wKizt64ezweOdDYNn64rvP4Omfe9lXX9feqqvqnEfFqRBxExG/GyTave3VdY/nM9Yh47q3fz0XEa2/lXVRVtRMnW8NucblVVf2DiPgHESczVmgkgzwH7jLBq8Dw0dPxs9euO8UC8OUG8joDV8EWX+O2IerpVhRxfZni43Qohwe7dihtQ0mx8nUsjdSDTLP2u7JLgM21XXnVQaNvGMBA0xloBYtOgSpAVv40LcpRx2Q6na4otKxPZ6A4o9KzcnJzRprH2jp5eaVQxrvmYfDCY9GNA+1LzhjwGHbGt6OO1iG1O0wOODhgwOmdzXAfBTI8Tly5Tn9k+rWUh7+1DQqynL3VPG16PFtRmPGZgWBOmwHMbOw7MJjx1HatJHPthGwAAHopSURBVHflH2cIrKOTnPyya648tnfgRw/v1zRZGVq/s5Oldq9DGb5SatPtKEeXyPM9xin41i3uEbFyxiSPV5445PGLtF0AqKN1iW3OaDRasgV6HtrFixftJKP6NzzhrH4Of9QOKan+VfzLfKLfO3ztiMciynd+CGNDHfN8FozIdCm/6kKno9gmOHvn9B+Xp/wjXbYSMNNh6jO4Nq1j27RNbfq4hGOUv0wWej87M4frcTZR5ciy5P7HCy24jgx/cDngL+sLri9iEoX9Ztznt/RpvdomHW/4nQVxuA/r+OP2nIXOHPypqupKnKzmeW9E3IuI/3dE/M/PzMlbVNf1v4iIfxERceHChZpn/9+63ziGDgw4AOtArAJwqn/lIQwGg5hMJnF4eLiinDQ9D3i3+kH5ZOL07Fi7Dq6Kp6QwIpYPP3N1OYdAA1xO+SjI1bZxJ9UB7cpwssFzVOXN7ccAZaPg0rLSKQ36Ej+cRuWph4g5pcTXxuNxHB4ervCBPq5yUIVaMlD8m/niZ+7S6IoplZXbism8aP0a4WbSs5y0L7s6+FlCP7CS7PV63VtXOjoVqd1hQMtjyy3jlXJW7AzIAXOUq3lRD/SD1sW6kMsozVyB2nQtl5+ldcAJ+Vy5uMZj1QGtUtmuXLXHCvSdzFw7XfnQkQ6ksu3hAyKdzNROZXigJDsnG3UGM+cG9zj9ZDKJg4MD2+515F7iSZ+lykLl6XBNqf6MF1eX2mJ2UtXuuHRaLvddhz+6LccdrUvO18n6rZ7VKeXYe/ivdkdtl/bh0WjUYFLmB+XpC1YUj7E/xfhM2+baoZhaz8sp6U/+nWFwbUtWBurn8jL9zG3n/3zN+S6ufj1s2OlD1qOMeTMZqexLOprbm2GDNrkxsf+3sbERBwcHSwGPEs98JhXKYDumW7VAulDE2SfdUaB237Ud9enr1rV/qQ+qmEzHa4arcJ0nKTgIhDac9Zy583hIfykivlPX9ZtvMf2vI+J/GhGXq6oa1Cerf56PiO+9lf57EfFCRFyvTraJXYqTg59TQsNc8Ic7gOt8LEAoEX6bigNPWVDg+Pg45vN5sS7HO+6VBlqWx0WAswHpnO6MJ357ADox1+vyKMDm3/pcXD4HurP2OCoNcgZxbnWYKn9NpzxxGrdUldsN2WlgRZWsM+iajokVR8kIqJJgnlw6jR7jWlX5E/Iz2Wg/RV9S0ueuSpgVKo9FPlfCKXKVoRqD7tyfjs5DbHd4bFZV1bwlRQNDroysL/P4RlqdgEDa+Xy+FMhUPaABhQy4tbW3rex1rmc8cj0sT17RmtkZzd/WLtWtWp62w9Xn9FQbqX3iPABnqiOdLXftQbkOGOokDvclnuXkdtT1yYx9BhrVgWujknxdmxTPMf96zbUfPLKNLo1Dbhf+u8lDtSVZgAj3uQ6M9clk0iKtjjryNBgMYjgcrji8w+EwRqPR0vXsDDXFVurT6NuCHKnNcTjUraDPnF2nQ9WhV5ysujfzfTJHHekxznmbNjvhJVtT+q9tGQwGKxha3+ypdbn2sV7Tdjs/SvVuacGBo5J8tY2nwRQu33Q6XaoTv9luOayvulbtmtbl7DkTjwu1nyiX86FcYD+0g0ntvfY/TqM2SRcOqA1VXsEfsOUP4m1fr0bEp6qq2oyTbV8/HxFfiIj/b0T8zTh549d/ERG/9lb6//Gt/7/31v3frtfooZjF54cMBy8LCmh+N5C1AyIt/jvnXMEV582I6+IHWwJYCpIjlqPtmpYVRQbouOMNBgN7vovL44If2hYtRwNe2TNyA5WJA1R4DSYO90V+Hfwqn4iHSkIViwJOfCBDROHdWQfc91gupYHufi8WC6vInXwzKjlj3N+yQJZuL2Pn0/VTfWY606PlcRBMy+HgjzMK6iSjDvxXBx1Ou27d6aij0xD0JINl9EVcV+CKdMjv9EPEcmDZgTbu7zp++V4GcE4D0hR4qwwc2HT84b8uxeZ26TbOUsAksy3rUJvuPU0+6CBMHDH/JfvH+hPE278cqOdnytcg18yGKf+KY5yTkS171/68LmX9g/lg4v+OhwyjaTqQ2imVj/Zl9E2+lr15UnngwC87uP1+f+VMv446WofQ72BX8Ap2Dai4/q86XPss8utkpiuT86FsN47deM14ZJ40v+osrZ/boGVm97g8BGW4fvZPeFWF6lK136zXuR6eBFb+eMUG88e8c7mcXm2ptsFheie/8wa3zkKKBcCH60Nu0YX2U6eL2/pMJhvur86OOp8S990WL+VBy2d+3UsUMh+I69H8wFM/kOBPXdefr6rqX0XEH0TEIiL+ME6WMP5/IuJfVlX1f3rr2n/3Vpb/LiL+71VVvRwRd+LkzWCtpAqNAZV7lTvSYFBj/7YOWKRBtM05uKbNRRCj/92DdPcd4ILCygaLKgeu3ylbvs8dmAMex8fHK6uBMoWvyltBK/924JaNEvPDYFdllS23c/LE/+Pj4xgOhytv01EZOQWkAbIIP8M7mUxiOp0ula986bNz8nJyKwFxvu6MRfYslH/XL1G3m4FQ4rzr7vlmUKNyBw9ZGn0e3G+qqmpm0Drq6KzEK3ZA3B8VeOiYZz2hy4AR8NXgkQMr7KyX6nN5StdKdsrpjaxOdeJZrzig7crV/BkQXDcokdlYUDbTmJXDOpDzO52J+3VdN5MsDjeoHSnZyIw/ODbZCpV1+gjbiVJ6l1/5UntfsmMlu+eCqo537XuldjKpQ61l4L6bSNO8ass6u9PReQj9WrdW8SoSlwcr+ZCGsSsmTVnvsd5Q/OtwYkQsBVFAnK4NIzr8Vhq3+rukC7M8s9lsqU6tD3Jyr9NmHekCMYqPQWpz4GeWdGyG0/m+s60qi2wVfsm+Zfc1P/ohvxFbdbXaQReU1+fA/U7Tud0XnCdbiKF9QeWr/pH6PE73r2tXQTqmnJ8DcjYJadUPYpszGAzOPOFwroMx6rr+ryPiv5bL346IP2fSHkbE3zpN+ehsHO3CdRZM6aHM5/Omg6gjq8CeO2UJFFKblnjVwVlqF9evyprL1wGuHSpbVZNdc9FijkJmA01/q+yc088R21Ln5w7PvDhj5PhwSpDv6zJ4RyxLpxhc+oiI4XAYGxsbTT/DwHQGK5NtG8hl2WRGxsnYPTcOEmmfzfqTKutMgaIcnlXmPMoz+n3WLvDrAAe3R9tUVVUHwjs6M/FYUKClY8ZRXdcxm82W3pbCeXmM8afUz0vXHP+avi2Py6v1arpM7zq95XQV0rP9KOlcBxiz7Q8uPZeD5+C2PaMNvJ1XbZQ+V8e7wyuOtIwSKGe9NxwO7cpR196sPFf2afsYiG23TlBl7cjaWOLByVf5LjlZzvaU+izzg2t6Ngf6cXfWXEdnJV7FrGeI8Wx/xGoApa7rpclR7f+uv/JYAGk+1pX8341NHes67p1vVRrnHAhRfbGOjtLzN7k8XhFUwuwRyyuk1K9wdkXzsHz4nraHy3Wy4G8tG9fdhPW6tkWvs7yAs/nMPicTp4O1H2QYyqXJ9HgJg7ln7ibtOb3iEZUb0rX59RGrk1zr5nX9Qm1SxHIQ9gey8udPklRRaSdz0Vf8R5Qb0dBMuXFd2oFLHcWVoff4fwkIa14dJK5Tu8gnd7gMeDql75STUxiaz50X09bRh8PhUlSeA3TZwFG5a3uQX50JPU+D+XA8Z84e58e9qqpiOp2uGF3Xz/i3A676X++VZv854KJ5eclv1peRz/W3rE1ajpMT+pXK1NXPMyTgQWe0nYHAGIcBh5HqqKOzko5/7tuXLl1q9IqOefRH/nCZOs64LgeOlUrjV9Nk99cp29k2vVYC5qX6S6CZ7VpJz6vMXJs1f13XSwETp6/AH3+rjNyZANx2tc3cHqTNJq2yVbf6/I6PT84hdPdUDhll7c/KZBlwHdmzUF2v+TOenb3O8FiJVzeeMj4Y8LuVfRHLzq17Lg7Ad9TRaQj9i1eq4zoHb9TmMA7ioxE0jbM92djnseb6vvJVWsWt+lyPCuCyM3uC/26MOZvJ7WWddHx83LzOvi0/8+r0GsvJ8VpVVYxGo+acGCdvR04GTvc4XbgOjtA8GU5wvgf6GreR7ZrmdTyv04aMl0yPow+qHPiejiNXHud3fqG2I+OHfUQ35nShg042cjpeSMF5cRzKWeixDv7U9XJgoc3I6/JnVZY8gHhWNuts2qlcPaWB5kCdG8QlIOqAVRYEcOBdiaPdrp4MWCEP5MZK2G1lcryzAVHHiOtre84gVUgcDHBpXJuUFMC7vDxI5/P50uoyLcc5MdxHeYlm6blnClqNs2sbO6naLvffKTTHV4lfzcP8oj6dUWGlmW2x4TGEPuQO5u1AeEfnpUy3P/HEEyvn1yhQ1uvufgbmmVjfq+3I9BTrnHWCCcpXBobcb3eP+cq2gaqtWme7aMTqeTZZW5TAE5as6ySD018lm56BVrZvjgeQLs0v4QhHVVU1kyesixkkunYo/sF1/a22hu0Lz6hr25HWtUnT8qQE3+Oysufs7inP2haWga7swbeuOEZ5uiKDP7BRDj911NG6xGOB/R7Gys6eAGdmwWrGxKwrSvhOAzpOR2p/b8OXDtOi3ToWWR6ubhdkcPLUNFxnCatyG7GlLrOBLsjPPqIuPOAjPZyc1OZr2cq3PiPlL8PsKmt9TpofK8tc+SD111kvIiiZ+ZiOspVsPMHPZy0xf26XDK9cyuw+k/oSzi6pLJlH9nWcjVD+1D8CjxjfLs1ZfZ3HOvgTsRwlU2AEgfGDRB4X3eO3buhgWkcxMT+qjJkf5YGVNT84fX28azvzr9dUFusoCk3LbdBOpIqWHQ/IJgPDyi9/l9qVDSKnANTYKF8OCLdRiQ9HzjHjsnQpLCtqnWF2W5wyEO94Lhmz7FrWTjUWzhg4cJ2VFbG6pQ8HZPKbVzTow882A/VsIPRAtY46Oi3V9XKQm/ter9eLzc3NZhk90qv9Yd2kY8UBsQy08dtKoNNAWiaPAwRF1X5WVRVbW1uxu7u7MlmCMh256w4kZvJ05bQBLzfeXVkZz84mZfows6MZOd3nbFxJf2dtcX3B8aIrbpncimCcQYR+4mbzlY8ME5X44vZqGdz3dTIoK7PU90qyxG+1KdiehfMgkU7xmRLf07G2jjw66qhEPC7dmwF5VTv0O0j7PzvH/JvJ2TcQ8ugWE77f6/VWJi+dvqiqk3MxDw4OVnjlvLjuthZpgAU2zdnVjNReqPzYn+Fx7CYcMt7xn+2tBiF0JTyXAZ6cf8k6k9uU+WDKo7um+k9tmPPjVEdyH+LfLijlSG0N61g3wc/ywW/U5yYUQGwvOZ1Lq8/atdudgQXiIA2CTnhRCMtc/RzOr/zwOGB+fmiDP0wMPqrqZOtQBq5UWDxzw2kdcefBINYD07QuvacOAQevQFeuXIlbt27FbDZrOpuuKsoUThtI1YGkA1MHr6bPlKk+A6d8lB91hByPGW9KauRKQNHx7gJCDkA6GZR4U15QDw6b5gAWb3fjfCqPrB53TYNMJX6dQuc8ThZokxoyZ6B5LKhi47Gir8J0e23V2cUHMs1mgLrgT0ePgrgvAjwg+APSWTMOcmoAUwGHjjNdfaPfmY7kg/rZlnC5vFR4PB6vLEVvsymZbFCG072ZDtK2KUh0tkLlm+k81idtAG7dtmq7XD6nv12dJWelVL6mc/f5bA+tZzabrehIBb9tKwSUbw0g8vMrta10LSPYA64DDqjaUtxnnjn4g3slG+XKiXj4RkmsImN+ujN/OnoUNB6PG7+D+zb6lwv+ODzJgaTMIXa4V9+Q5XA793/Wy5wONBgMlmyOpuPJavaveAJddSjvOFA76epgGeC/C7Kxz6btWIdUbzo5uoAc5FCyAbrjROtR++nKcnn1tysjky3aov4B+og+n0xe7r9rE19XO1XyVzV4ybxnfqUGlNjmgPiQ7czWaCCMJ7wxdlQ26ONurLf5ievQY2+p1EkEjUajeN/73heDwaC5fnR0tPRfgbIDmfxQkcYpFFVkKB+kwDVi9dBAblOv14s7d+7EU089FTdv3rRgyyl35C+BSv7v6s6uK7By4JqNzzpll/hTkKwyVeKBlSk/Tpu10T1z5kMDHFyPk3um2KBgtL9kgYnMYVgHIGfL/V3AMmL5tcN8n4GvOnAqe06PccpluiWK3E7l0YHuknLTZ4y6MbPbUUdnJczWRCz3w8FgEJubmytBHVBpzCo4cWkzgFLX9ZIeUfCD8QfiGSatd29vLzY3NxvHAGOQ9dM6epjblek+bWsJnGd1qr3LQGQpr+NTdZnympVXup7JQp+Xypjva34nGycHxTCOTiO7sxCXra+2j1ieQFBb7PjK2s4y5RU8Lr/7ZPfBo8MPrA+wOkHzTCaTU8uso44ilset6nX4NYpbkVZ1pOobrcf5K0yMJ119SAPSiT/VbQcHB3HhwoXG3mjgw02mOJzo2uqCt+636l1dHct5Miya6U/Wc4oNGPcqXlZa1x5pu5RPp1+zurRMZ1ecrXJ1Mu52PpoLXrHc+DoH90ptZxkjPa/MxuHefJ+fk+bl9qnvgjrZZ9G+gnLc5F/JDqls1KfjPsO+1w/kbV9vN1XVyeoeGHfMXA2HwxgOh3H58uXWQE323wGTCB/EwW83sDmf6zQ66Pih4TMajVai3U6JZ0pfeXGAVx3xrI0awXTKlZfjMU9VtfpKROUxMyScn/nB8+X6MsXU5rCgHbqlQ4GyC/4wb/xctJ1tPKg8tP2gEkh390oKUt/0wNeZL+4rrs+5LZDaP5wD4xSo9kXun3BceWWPjgc451j9p/25A+EdnZV6vV5jY6qqivl8HqPRKIbDYYxGo9ja2lo6A+D4+Hhp0iEiN/QOMCM9Uwb4VG9qPgYQDiBifOEcA2c/NT/ryJJ+Q/kl3ZXZhnXLzgDqOpSB2lKwK9PrJTuq9WgAPrOHmZOWXdM+xvU7PlVebfaqJIfM/vF/dWRdPg6ilNqLst22h4jc6WRSwA7nQmdodWk+y4Bt5nA4XALqVVXFxsbGWvLsqCOmqjo5GHg0GkWv12uOgxiPxzEej5s3+jh9pBhcf/PKBB6TJb2nY8xhXB4LvPUG13ic80QoY0T81rxZkED9C51QzOyPw8vr7ALhejKMqz4LyyvDASVd53SlpnHt0WcPeZXyufxnsa0cyNJyMnuk1xxPLI+sTC6D+5fKH+lYFm7SK+M/s7faHo4tuBU9bGv4w/cV38Eu8ZhDOePx2Mqvjd4RwR+AcAZPg8FgydC6TpIBEJTNs1DsgDpg7TqPo3U6Nd+7e/duA4LcahquswR+M/DJ6XVGixWEU8gR5Vdt6yBwyljb4GTgygW5qGwmSy6npDTbFJvO6jFvrvySEWNFnik+53xx32xrL19zMio5HcyPA7x6vWQYer3eyjJapkz+3Gbcd/0OhLHS6/ViPB7HaDRaUeRd8KejsxLszmAwWNI7MMC67Yt1qy7TVTAXsTw75fq4gg3lTdOqnmmjuq5jOp0utQ95M73gdINz/p0ddboX+m2dtmVpTgtQ19WlfK+tDgWTGshguSnecKBQHRLFGpnddza/rY0ZOHd1u7Kd/dfyMRZKfVTLyIC96nj85xnujEp4RcuPWJ2oYN42Nzdje3s7JpNJg02Rvgv+dHQWgs3R1zZXVdXoaXYSVXfq+SOM3zXw4/wI3f7lVjq4+6zPlW8dQ9PptLnGWzUV5zo/Re8pL06HuHz8oh+nr9iOa33MpwbRVAYuT5u+VHzg0pzmml4v2QF8u76h5ZX0rObTtCWb7uyR2kTX35hvXUnaJpesfU5uXCa/rVrL4T6hfDP/rlyk12DSxYsX4/Lly3Hx4sWlyfGI+OEM/tT1wz2DPAirqoqrV682b11R4UJ4pSXFdV2vOKq67zQbZKwc+DqXrfcUFCJdaXCx05EpK/7N5fMeR/AKhauKO9v36+SgAY6MdPAr+MtApw46N/DXIQ7GgHgGRGfd2SBo23A9m6lX3nWJYRaAZNKywWtpdkbrVp6Y9ywv6lbFo32rVCdWSkTE0j5wp2AVYDMA57Hr+jr3n8FgED/xEz8R3/nOd+LChQuxv78fs9msWXbaveq9o7MSbIPajuPj43j22Wdje3vbgl2Q6lMdU2yXtF+rXdE61D6UyAFiJpwn4fI5Pa86vU23qO5nXZatRiyVdRr9f1ZqA8gZqC0BcsUkruy2cjM5ZeA+k1ebHDNwrzr/NM/EBbyyOkr8OpuGMQO7k5XJdibi4Uyqgm5XP5fT6/XiR3/0R+OLX/xibG9vx2w2a972Wdd1t924ozMRfJ2IaF6EcXx8HPP5PH7kR34kLl++nB6EjI8evqz4PdPbHBDhcnk8qN7SMthH4/pRnuJgJq7L+QDOOWZyB+86f6iqqpW2cnotGziAy3E6Hf+zNzhGPAzClcrKfMjT2Byka3sWj5qcjWeeS3Yi8zOVd77XZndKWEl9DS6zjd+qOlmhd3R0tIQRXXu5z8LeuLIdtmA/qN/vxwsvvBBf/OIXYzQaxb179+KJJ55obM1ZcdFjbanq+uSQwtls1hj4+XweN2/ejI2NjSbixdFaFgRvT0J5/JvBuN5nWncr03lJy8wGu1M8yMdbdvi17lyei563OR1ONm6VT5ssVCmX6sQHQZA2oOZ4ZcPiDndjnjhdFoBwbVQlwnWzQ8dOZJuckKf0XM5C3D+y+wi4unt6oFvEiRPJci45BrrNBFs6FeAjrUbQkXexWMQrr7wSN27ciDfffDM+/elPr4D7jjo6Cx0fH8dsNmvA+NHRUUyn07h161YzC6ugmnUydK8jTZONwxLQezvsT6aPuR1utQ7nLYEnBWI8jjmNHuKJ9Kj/UdrbNmoLhGSUzc5zfi6HbaILlGQ2vGSPnPxxr9TWku7W8jMb+XY+H3UydJu64zVi9QwTBeeKYRhvsN0+Pj6Ol156Kb7//e9HXdfxUz/1U7GxsbFymHZHHZ2G4OtwgGCxWMTu7m4cHBw0mMytDOQAB+5lWNn5PbgODOfegsVjgbe0cDqQjkP1z1xatoUZbszGeEZVVTVvOORrjG8Zn7sVhNxuliuCOSxPxcdcRvYMsvaW9Og690q25+3UU86eKb/qPzh5lCaGoP/hGzLpc9LgjqZV3Kb+iT5LxXY6znRcOl/byaKqKrvdGPrgpZdeijfffDNu374df/Ev/sWlleVn9XXeER4SG9/hcBjPPPNMvPrqq3FwcBD7+/tF5969Rhr3+Lp2xHUGJytMzVvquC5Q4O7xhzupc7S1TI2yO8XZBvAiwm5NcPwrOC0Rb53I8qCdDO6y1RwK0nBNHYgSkHfORlaPzoYrUMQ1N2vOdbaRPnNXlsuT/cYZH9g76voEbwGETHQ/qpM1B1qzfs15eemijk9+drqFjg0Dxv7u7m4jb+TX5dMddXQa4vGGM32eeeaZuHHjRoxGo2ZSoq5ru4IGY4yX6ztQDCrpA9X7mZ1Rm+XSlmzMOvVr2SXKbA87Kwp2VG9z/sxOuN+OqurkTBa1IyW7ELG6rcCt+nX3XeCa63NL1Fnfcb/Rb1dvdi1rI6dn3tYBk4pJ2ojtjspj3TIdduN8GY8qR5Sh2zV0RSrSMRaq6zrm83nU9cnWSZVXt+K0o7OSOs39fj+eeOKJeO2112Jvby/qum7ONJnP502eiIfji1e06eSsXuMxxPcy3wZ4XO0GY3TOz+VkK2643fzf2SVebcHpOB9/Iw/fLy0I0GCAYnnVv6V2MObd2NhY8mGdvtL2qp5UPrN8qstL8my7p3Xxb8XtTi4sQ+RR3erKA7XpUuXXletefOF8i2y8uPq0zyk2U37U5qhPxW0t2USsBGSeI+LMvs5jvfKnRHVdx2g0in6/H/v7+3Hp0qWI8KAtc3KRvqoqu9oDqyA0muuiuxzVdsrMgV8esFlaLX8d0llBjj7yafvaVreqwykF7dTcJvetadxWPdzT2WV+hhoAyZSV8sA8q1LXNulv5oPvq6LQZZb4zauvVNZOdprG8cVtg0LVc5u0XGfcVU7umeC/OwdJ5avtUOXP19tWc+n4UhmiPfz2OVyr67oL/nR0LuL+rzOfw+Ew+v1+HB4eNmmzvCWdzVufdOwD6CpIwMoYDcSAWG87vcLpSrrayYPL1+Xdrvwsb1bfOvXzf21rW363UhX/VdcoYGRyW/4yGbutGlyOXne8oKys/owcT84murpK/YFtXtu5TYo/nJPiysV/LU9tVKlNzu5wX3F9VO2k1s318eojddo66ugshJXQOsaPjo5iPp839xU/4pgA1V2clsegC7zrq9tBmb6IeBjM4LoVryOf/ucxlJHmzXQp/8/0GNsuPhZD8a+Wo3yoLsN9xQt1XS9tzXGrhbV8livzlsmmpEedPNrKcLYtswX67JzcMj4yX0HvuzJKgRZuUxtmQB9gGbRhCOfb41vjDviPQK6W7QJeat/Ao76ch3n+oXzbFwiCg5FFhHs8Hi/t91SFuM5Ac8vL2Pg70KgrIZi44zlg5/gBuYCFPmxOi/r5jJlswKNz6oDlZW7oZJxH5cV8ah3Z4NfAwWKxWNmj/6jArQOXKkNV8A7kuf7ino/y4Z4RrquRyfhV8OuUuxo45FOjzopI5ZBtZywpIydrx5s6ZhGxAhCy1RA6E6uAZbFYNHk3NzfjwYMHK4HL7uyFjs5DVfVwpZwDGkdHR82h4mp31H5k40dXqqpuVkdSxw5fz5zq7J4DiKoj0TYFydqWDGyVwBTbHSebLJ/TLRmQVHkeHx/HdDpd4tnpvEz3l5wgx2M2uaBp15HbOnUi77oOlf5XG6R2pa08ZzdYDjxJ4XhxsijVlQFxJTdZpxOD2Yw0r+Li9vT7/WYFELdpXezSUUdKVfXwcOeI5TGErUr7+/tx8eLF5j/6qls5oLYH9kb7KoI32QSw0xdcLv92qypZ12fj2wU7dIwDs7LTrtSmE3AfqxCd885v7mz7drLidvJ5YE43qI7UiW/1F7QtyAvZOBlwXfrcMr2ltpR55d+Zznf3tWxNq/YcdfEESuZzqFxOM7Fc8nMzWShWYv7V3ji7wjaHfR4mLofPqtUg7w/tyh8IRgdHr9dbetWmAxWclx8krukBXKB1gkg6CBRwlYBi1hlc+gyQufKY3KBmJaMARyOgro6SMUD57jfXg++SIXAKQHnI6tD2c1kq7zZlot/qAGQy5nLcTKBbxcWGVw0lK5a6fngYNJenbVWDi48aF+bbzdByvU4+2TN3/UgVHpzrbIy4AzmPj0/O/ppMJk0AmHWABo466ui0hD7HfZMnGXhFqM5CleyOAwSwQ1wG1+X0Ded3OjkDZO6+riIC/8irTjHz2TbG9H4bKM10dFZGJlOuW+0c7ulz0bRcH/OzDrWBX26be1brlK1lubL1fymvqxd9Q7dJqL7XQB6X7Wy5e94Z7lByGCDjX8tHX+btmA4HsF2CzRwMBjGfz5s3MrGzzdjzrLOwHXWElczszKP/YsIU/Usd/8Fg0PRJ7rtZ4JbLz44UKGF0TqNOO0h/O+e+5FfoNacvVBc5zK731a5lPoYLTLDtcPrKybLNDmT22OF6V5bzibI62Qcs0bq6WP/rMy0FVjLb6/xszeP0dsTym4Bx38nCycDhD5dG26q4if/jw76MG2Nsk7geBCL5fOOIWFoVftaJ7sc++IPOqpFaBeM8YPDgWaB6mFIbQOZ7oKxD6reWfZq2an0czW3r1Lq8jM/U4Y9TUBx4cJFLXWHFz6Iks4jVGW5ujw4wVXi8nadUh7vnAD7+Z89LjaXLl/FTmnF19TF/6kTyPmrtn7p8FsTPEPl5uSDaNp/PrRLNZKwKvDRONG1miNqMIYK7btUBlN1gMGiCQDomuuX3HZ2VFKiif/H4Pjo6ivF4vDRuMb7UeXRGn8eL/na2yAFRB0KzvJoOZbDjqrqDxzu2GyDopXXxeOcgrJOt+51dUzDr7jvdo4cycvrsQP/SbLLqbQdqVT+uaw+QtwTaXR0ZZtFgjQOs69grV4dzuoAN1MnkQD+C9uBPcUdp1YH7nfUjh78yJ0VlU1UnTjRe387y1BVAOOcLcoTN6VacdnRWcv0/4iTwc3h4GLPZzPo6i8WiCf7oigeQYke3fcmNCc7D5FalZJge9xx+1K1QILa7qovYxqyjv5yc2Q8qpWV+2Cdh+XCdSroiq4TZuZwsneNL5eb4ytrmtqI5u67tcz5Bm21yfJT0M//mdmVYiPsFT9C5etatV387KsmKcVEmRw76quycXY3wu3xOS4+9parrh0EcBBx6vV7M5/NYLBYxHo9jMBjE4eHhUkACziPyRqzOFHIdKmBWiKokVUk70MbAWh98FnVEPlcmeFRgxzyiTu4UqtAV7KPDafCBl2hrNBL3dAY1e36q3NfptGqUjo6Olhz6zGBk5WbPCGXoTL0D52g7tyszao7HNoOs91ThMekeUNdWlD0cDpugjyoVt/Q3awsDYKThVWOlscCkThbK4VkvgHA3Q8N8AITrGUIdCO/oPMR2hwH2dDptltz3er04ODhoxgacPwfE+YPVPhGroE4dXLU9nMbplQxIOj3eBngZXOGgQb0PUhDrHAH9zTZG7yufWh/nUSCoNtCRA4KZI4L0mZ52v/E/A7xcbgn8OyCtGAbP1gHUDHS6/45cX8lkpPxjFvbo6KjBLpmzoFtSSnVkzpcrm7/R55xdVrvj+g2nQX6dnOrOmuvoPKQH1ELvTKfTmM/ncenSpZjP583qb/RXfomH2p1shds649jZoojVVZQaSAFpAAf18odXsnM9LkhfwvYlfM/2j3l2aZxt4Dbz/xL+Bi7FtbYJEcX8Wmap/acpD5idzyN1/UJl4OrO/B/FBtnECpfhdD/77k5+eg19abFYNO3T87C4X+kWqsymuPZmfo3bheTKwHjt9/uN3dD+yLZd8SD+n3WXwzvCQ2IhocGLxSJms1lsbm7GeDyOg4ODGI1GS1FwgHEIiPcO4jecRrfcDsRKmAeWdlbkA+hhhcikrydV5aR1O164Xgces3K0zuyVxLryxCkLdriZHyaWuVOU6wwS5sMNzpITUzIcOoOtz8HNjkSsHv6Mb26fMwgZP+okqULNZIR+zY4k8rggjs6Ga1BUFYpGzdlZc2Cay3KEewwcdLVayQiDeDnl7u5uM6PMh+udVSF21BGDUl6KG3Eyhg4PD2MwGMRoNIqDg4PY3NxstoQAjLPd4Q+W8WIc4VW0Os4jfPDH6UTcU6CtOldthOrOko7WNE5mmsfV6erVPFxmxifXqfJxvGV2JwO07jfbBdxzz4LL1AkSrVeBp+sHLq/DH64dbe1bh9zzR7/VoI07n4Ffrcz2yj0XbTPKdnJTTKO84pvHr/KmMsE41b6GMcs40r1+G8vzO+rotAS/BL8Zx92/f7+ZyJvNZjEcDmM+n8dkMlmxObBduiqV/R51UBXjr7siRfl31/Q6r86AA868Mu8RHqsyP226He1lrKmrDyP8Sk1Nyzw4PwCkOqfEc2bf3L0SMS7PfAq1OzrJ32ajMrtdwg0ZH6W+5XT+aDRqJqHY90S/Zd8Ek8KcRvuT2g/nW+pzyEj9YH2WvFiCg0QRy9uMkQdt4tgH2scvA4E9Ogs91sEfgAy81Ysjt1VVxd7eXjzxxBMxHA5jb28vJpNJzGaziDgR6Gg0itFoFMPhsDkbBLO4MN78ENygA2WgDPfaAFzbKhlWFtnqCzdAUB7qdatXHMAsdXRVHDyAWGGWHHQ8OweIlbJ7uM6rXJRcW0ugl9PD0CjIZAPq8mak7Ve+NE3WH1TpIK1TKlB6nN71B51l1+fCSw6zNoCcsXTGzRkM16cZjKCfIXDLYwEr/lAWlkODMBMW0b11paPzEbYU8phDX3zw4EE8/fTTTdrRaLT05i/YrOFwuHQwpwIap4/c+GNSfatBTrfa1DnMmm8dcMllOD4y/ajOuOodXMvylPQHl4dvntjJ9G5JzsAECsgUuGq78JsBuAskOHK2A/JR/e7shrMrSspHCY9wWepQ1HXdbEFhnrTNbHdAunK5DVQr3+vwrOUz8M4cxYhYsjsqK3feiv6O6Fb+dHQ2qqqqsRmqHweDQTx48CCq6uRNkwcHB82EN/ASB4AiHmJ4PpsOxLqM+64LCIE37u+MFTUQrnrMjV0uu4Tf1UY5f0ZJbS2XpQEl5h8E3Mi7O7g9nJdtHusXXlHPfHMZ/JtlwPbF5SkR+2aZT8HPT3nn9mW7Pvg385rp8NIzL6V113miQfuLro7hvOrfO57XlXHGH5fp6neHi6MPYfxqMBH+DGMZlME26ocy+HPlypX423/7b8e1a9eiqqq4cuVK1PXJq81++Zd/Oa5duxYXL16M0WgUly9fbraA9fv92NjYiH6/H5PJpNnuAke53+/H97///fjc5z4Xh4eHrR24tG+Qr/ODUnJKzikfB4YyBZo51wqQWIm5pevMoyo8VaLj8bgJsCnpAGLwDeLIu8pDZcNKSdvXpig0nf7O2hlxAvQ44KRKWlduMTB25bnnrPyyDF0+9/ycwuHf2m8dCIfiZN5Lz0Z5x0eXFrMRVxlmS0CRDssgefk9ouCz2SxGo1Hz6lPeysYy74I/HZ2VnnzyyfiVX/mVuHbtWgwGg7h8+XLUdR3D4TB+8Rd/Ma5duxaXLl1q7Mt4PG4MeFVV8dRTTzXgHLpiNBrF/v5+vPnmm/GFL3xhyUZkAEk/GnRgoAmw4MrU8viagjunF9uAUQa8UJ6CWgcaM/CEezzrl9XPuoKdB7WH2k6ng11wzNkQzq+yZeDpylE9zTxljoFrC9fJdWTXXT9i/jSfa6NzGEDO0XQ2iMvJ2pJRtk1f26vX3IpQ2BzYHbYdqAdvmKzrk8CX9kW2XR11dFp64okn4ld+5Vfi+eefj6qq4umnn262q/zdv/t3Y2NjI1544YXGrxmPx01f3djYiKeffrrxdaqqalZD93q9uH79enzuc59r7rkxp7pNv1mnOH8jw4hMqrOynRFI6/RiXddLbWP94/yzkj7lfPiNIFGv14uNjY2YTqdWP3LgW1fDsx5A+RyUA9/D4XApoKHOf6/Xi/39/aWVkyqjTHdnpDqYgwq68qeu6xVfh4l1uurcTNdr3gx3gBy+0Rdk6DNgu68TQNz/22xgNh6Ub5WT9jvn76C9mCjkYyogt/l83qywha/jzjH+oTzw+Yknnoi/83f+TiNAVlqf/vSnlwSrb1mo65Mg0ebmZvMfVFVVPPPMM/H1r389vv/971tQjG90KqeIuLyIsINUO8rW1tbK8kzuMIPBYAm84htvOILyYwDNfPEyse3t7ZhOp025cJR1JQ8DIwwc3tcOwnkWaC/KRl4YI8wK8j385/ZhQOvzxYCIeDjQeYXOSy+9FN/5zndW9hmrkWDlkxk8BapcHnjOlKoaPreNjNM6Q+QUDerm2QetywF8NcigttkZlRPncW1hfrkO165M2WoZ3Cexao+VGqLg+/v7MRqNmj6GMcev5+yoo/PQlStX4m/8jb/R9Eds5ajrOn7mZ35mBWREPJzxh+7a2Nho7vG4e/e73x3f/e5349VXX125x/9LKyR0rLvxrXqFZ4WhU8bjcQOkOR/bBYBUXu2Hsre2tpqtCHt7e0ugBOkw44XxyXaKAS+vEuWtQyCs6tXl02gjg3bUf3R01GyPyMAYbFK/3290Cc++s2187bXXVuxORpwvszFaBucBqU5nGarDgPzZZJXq52x7O6dVXp3dYVJM4gKSbFPWkeE65BwwLcvJnNNjtR8mHcB/r3dyttfGxkYsFovY29uzfUVl01FH69KVK1fiF3/xFxvdtbGx0fSlP//n//wSHoU9Qj8dDAYxHo/jwoULNtj8zDPPxDe/+c24ceOGxaWKg0v6Tbd1OrvADjvrEx6TvV6vmcTD+EGwi/+zndXALQJh+EAm4BNl8Bug9BgQxp2wkcCaW1tbsb+/v6R3GctCN/CzUd+OfRrYUfhJ6rOyDNGeb3zjG/F7v/d7MZvNVvRwZusVszv/xeVTDK/pXR5XrqYv2RtNo7yrX+WOU9E8bO+1HvbVMtvqymTSs1FLNrNkv9nX0QmHwWAQi8Wi6TMHBwdLfZgXKGRHt7TRYx38wWCKWB4YCmqQ1pHbugOAydFYdIhsrysvG1SQ5vhxPP3oj/5o/KW/9JdiPB6vBVK0M/F+YOTlTqzKFlHDjLRuF0lXypYzcplt8siU17r0nve8J/7Nv/k38frrrzdlQGlHRHMWAStlt2IG1zU4oc+G+4Q+Ey6bFQbndYo0W07JPGxubjb9Dgecq7JkuTKvamgVHOvSVFaKaoT4OurQerku5Y1/6xlQvNQen9Fo1IBwbRdW7k2n0zg8PGwU/cbGxlJ7slUCHXW0DulrczPKDL6+5QPfMPYMZAAkHZhTsOX0pcvDwe6nn346/vJf/suxvb29lA9n5KnDvs6KGYB31rW4zt9OR/F/Tldaap7ZI5aZgkHHe0brpPvQhz4Uv/7rvx7Xr19vdBjbWPeM3OrXTB4Kwt2EhYLSrHztd2qb8Fu3AOAaAGld1zGfz5tV02pbXF9dp8+2ORFov55Tp+1RxyGTL2M9OGh6QPtoNIrxeLyEGRFABP6azWZx7969BnwjIARHvLM7HZ2FqqpaCjqug4l1vLHO4LHHvg5sTUT+Fl7+1nvZtmLUDR1x+fLl+OQnP9nYuqqqmqM3sKJhe3u7OZgXY5LxJwI4aisY13PQBoEeh5HBp/puJXm6e9l9lsNpyOEH5vVjH/tYfPvb347XXnutScPbyV2Agm14xPIqycyPVhvqSOvKbJjTxxkNh8OYTCYREY2Pk63q5PZmOIjbzCuG2lY4R8TK2NF76mfxPVcO+jT6KwI36utgFZ+WXVVV8zKr27dvN9cnk0mDuyKimcA7LT32wZ9sydRpy+HfECK/Xo3BEDvC3Ml4qZ8bBKWBMRqN4qd/+qfj2WefXUpTCn44AHtaOktw5U+SzsLb1tZWXL58OW7cuBERseI0RCw/K/1WoA2QqQqClZiukuJ0qE9X6vCKJw16sHM4Go2W+uBwOIx3vetdzWHGKG88Hsd0Oo1erxeTySQuXry4NIMOPvv9fhwcHMTe3l4Mh8MlJw28alAJDhyUEmSDpcT8Von9/f1miTwHTLm9MMq8GuD69etx/fr1hgfUhXKx1Ws8HjcgnPsHH/K2v78ft27dag56H4/HzbLIiIj9/f1T96uOOopYDt7wNRdc0DQRqwBDwSj6uwPaGix2wM791muwcf1+P37mZ34m3ve+96VgqQSisrodlQJXWYCCrz/uW2YuXLgQTz/9dLz++utLM96lYLjajwg/CwjiyQguUyex8F3qA1oG2yiUx2/awf9nn302xuNx7O7uxnQ6bWzD8fFxbGxsxMWLF5e25PIs+uHhYezt7S3ZW2xvYPt2dHTUbIt0s+ZwFmEbwTfsH1Y/8FYWtrX85sjbt283E0X8IhA4jVg5MZlMVmZh4SyjPUdHR3H79u1mG/L29vbSbPTOzk6hB3XUkafM13HpItpX3KkdQHCE0zm/h+2PCworjtaJz6o62YXxV/7KX4kPfvCD5/LVSlSyi+9Ucn4udJPaBDdxq3kzf4brcr4s9x/ub4zzuTwEGN1EsZsgiojGh3nyySdjNpvFeDxuJnNxH7ofq7A4L6/g2tvba86/4uAffJDd3d2IONHdWEHFfhcWDvCEB9o3m82aIM18Pl8JTiIdT3oPh8O4fft23Llzp7GN/GG/B74O+5dVVTV2rapOtnDC5mBVIM6gq+t66dzT09BjHfyJOFs0Ffky4oeHyPRsNlsBZwyWFKzpahAFcnqdl/nxwHIRaNB5AzecN4uGv9OIwStmXTnCGxGNAeL/Ecurp3AvOyCYjTFAHitK3NvY2Ijj4+Pm2eJsAHxwaCzeCMRvpuL9mwDFW1tbMR6Pm2W/qJ/7ChQMIubcRhCfS4B6GKRqkFP7sAJgnqFXAOAMil6LOFn59hu/8Rvx4MGD5vmBNwbkk8lkaSUPntt0Om2cjr29vbh161ZERHPuCkfAp9Np3ok66mhNyoItJR2a3eOxBUAxm82atzewjtbfEf5sHdXnqucBnEptUMdB6Tw2w4HLdyJBR3JQgXFCxEOb4Vbb6gpU1ZE6KYCyJpNJs21BAyMcOEHwHOXw9gLIH7YO25siHurW7e3tpoyLFy+uTGwgL2yT9iOkx9kErLtdMBOgFs4m7ADLhu2jkyXXr/aRZbu7uxuf+cxn4t69ew0A10ARtmryIe9YZXp4eNjwMZ1Ol+wOtj6ivL29vZae1FFHnhxmakubXVOcyr7OdDptsBKPT6TjHQ6Mqx2fvJ0XNJlM4tq1ayvjts3OnIYyv8nV8U71eRB45u1juM7twTYgff66koVtAXScBoQ2NzfjySefbMrBuYbwJWA7UC7q5gOLUR6C9Ahm4Bp8nQsXLiy9iIn1tvpF0MvKe8SJr4OVUNwvdJKlruul3RM6YcC2RnEXv5WVfTL2mdgO3blzJ37zN3+zmSjn8uHnwObAnrJM9/f3m9VAu7u7cffu3cbfhMxQ31knut8RwZ+3q1wAGj73AMQPvt/vN5E47lBtpAoYdTBQ0Xo5b5sxyBSpu64ddR2+HzeFicHN27t0RgLg2s3GKvhmUjCP/4PBID71qU/FBz7wgZXX2kIJqLxUGaiy5nTaD9wzzwx96fnofmJHpX71qJ3Auq5jY2MjNjc34+DgYClAhgg9K0TmH8Zlb2+vWSp89+7d5g0YTz75ZGxvbzflVlUVd+7cOROfHXUU8fbqPgBmPjhfV5CwroN+cWfH4LcL5OAe6/0SaHb/s7JPI59Ml5zl3mnptGVldh3PRwPSvV6veY5se1T3O9zA1x1w//CHPxwf+chHVtKp3QFPOnvIZWoQRYG22i6lde8zMD0NcX9j2TwKZ25zczMuXrzYTDq4WVgO/qAO2J2Dg4PY3NyMuq7j7t27sbOzE71eLy5duhSXLl1qJnyqqooHDx6cqt0ddfR2kI4b+Do8Ico2BzoHvo46zkjD5TPpmNQgdzZez4MntQwNbJy1jqydqpvOUvZp6mebjWeByQH2WdkvYd54N4O2i30d/B6Px/FzP/dz8Z73vMduZQapjcn8GybGNKV+pNcVezj/CKtA28os1cNtLPVtZ3vctcuXL8fFixdjOp0uBX/U5mC1KfJjC+R8Pm+2d924cSMODg6i3+/Hk08+GRcuXGjOWDyPr/PYB3/eDkJnHw6HsbGxsRQ5dLN2HFXlTuCiqEqsiE6jMM6T5ryK9nEL+kSsKiGOMrOh0QiyKihOz4EkBsIcQd7e3o4f//EfXzkvo01GrIjXUTB6H2lKQLdkVLUvZoarrc8qL8r7OoqQxxXvzebzFqAMNzc3Y2Njo4l6c96qOlnxtLOzE3fu3Im9vb2o6zquXLnSvG4bAcHbt29buXTU0Z80sfMecTKbhpWAWEqswCziod1xK360bM3L+jEb4+vyfpZ8py337ajjLGU53RWx+nYpXknJS77ZdmR61P3n54QVPx//+Mfj6aefXuEx07FZPetMErXZhIx35jnro6chZ1vcd8kB4/+8wpdtDX+Px+PG7vA5DXCe2Cn+7ne/2xwCe/HixZhMJnHv3r0mzxtvvHHmtnf0p5sepd5TvIzVEwjsOAzMRwMoT22+Dgd5MHZcu95O+/F226a3ox1MGWbn4Hz29i385kmBLJ0LvlRV1azYwsRrm50pBUSy9KWgnaNS0IfLK5Wh/Kz7fF2Aq60PMM5Tm4NVPzzZoDbn+Pi4OU8Oq06//e1vNy+4eeqpp5aOEDk6Oop79+6t1Xald0zw51FGWvEgR6PR0tK0qqqagw35ExFLyyFBzjlvc9i5/o7aSR0bDfS4dBqg077D3xiQvO1Cn2cb2HTklFWWl6+5/bSnKb/Ez3n7XIl3J2MFDFW1+kpdt92LD93EbMd0Om0i5Pfu3Yu7d+82S0mff/75JaB+eHgYd+/ePVdbO/rTTW/HzB4D8YhY2mKCrV+80ofrZ8e6NNY0EKF1Z0HpjpYp07t6jkJEPjvJ93GNX9DQ7/eXtqoyxuBtUKXATula2z0NpqxTlsvLZTh7y3k0yMTBstPSunyy3XETDpPJpPmo3cGZD/1+P/b29uKb3/xm8wzxWm44Z/P5vLM7HZ2bHrWvExHN+Yu8zUYnHtSGKL52BwdXVbW00hHEW2Q6W3M24gAdrzxlebrJ5QwzQFe1BZCy/+teO22Zqv9LgUVtI+6X/KTsnvP3zksYDxGxYnOqqmp8HeyCgK+DZzUcDps3GldV1QR/wOeP/MiPLB0tsr+/f+aJ7sc++LNuRO8shG0m8/m8UY6IfnPwB4qQ33jBB92qgsP5I6xYs7MAOjob8WHAGqGNWAaXDNBArFD4dfOsIF1gwymLR23YXHnrjIN1AlTaprZ6S3y0OQyOH46CQ9586r2eu4DnMJvN4sKFCzGbzWJvby9ee+215k0sL7zwQrO8MiLi3r173fL7jh4JPQrgqmMNdgfbStDPMeujQW5eYcI2SMcWzjnT1+VywOFPCwjP9NRZy2I7rlv0tA63pdulQ4CBf+t9LmedZ/gonm8JMK+Td13+1gHeZ22Pjg0O+ujZC7A7vNUYZ20cHh7GxsZGHB0dxf379+OVV15pVgK9+93vjsVi0Uwe3r9//8yzsB119Hb5OlX18PB09nVw2DtsCo8ZDQrpFiL2dRBE0iC3pv3TYnseBXFfgI3gwM9pbQGvzOSVqW67Ods6/n6UdFpfI8t7HpuYBZDOa3NAeq4pjrcYjUbNpANvWcMYw3l98/k8bt261bysYDQaxfPPP9+cfRoRzUtvzkKPdfAHSoed7vMqSA4IwPhXVdVE0/AAoBABpN1rthm4sVPNs7ccdGBlqoGjR0k/KCX7dgbq3MwDqC0IkUWSNT3S6ayFM2RZXW8XnbefPKqA1XnaXFUP33TkDj9DAIiXQdZ13QCW4XAYd+7cibt378bNmzej1+vFxYsX4/nnn4+Dg4O4cOFC9Pv9+N73vnfm1x921BF0eMTqMurzlosysQT/6OiosT08scB9H/pK39SkYB02KsKvUMH/UgD4UdGfpG5sa8d52qn6PyJW7LabhIhYXuXjbJBbjcXlZ+dmZDauLQDP1zKe1iVNW5Lx4+D06aQDTzjgTV/8OmxgPqTd39+P69evx71796LX68Xm5ma8+93vjoODg2bF0Pe///3uRQMdnYnY5vDZXY+i3IhY8nV6vV7zhlcOAvFkt+ojtk9MOO8se0Oerj55O+gHoV/eTtvJ9j9i9Sw35mGdwAb+a15+Nmqz1gnMc9nrBGp+kKT92U0OPUpeEV/g837Uz+E3GuM5HB4eNrbq/v378fLLLzeHRl++fDmuXbsW+/v7cfny5ej1es0k+FnosQ7+RMTKrKXrwHove4jc4ff392M2mzWzPVgGiW8GZiiT8+vsrJIGJ/SgK8d7BhDx7aK0Lhhx3gjmWUjlxe1TOo8h4JU87ARpvZCpvj0lA84aFVdjpmW3USnNWWelz1vvD5LQZrxOkQ95hiLE7BT6B8DJwcFBbG9vN7Ov169fb8bqs88+GxcvXozbt283feLb3/72D7i1Hb3TCf2VATlf199qm1gX82exWMRisWjezIQ+i3PnGAzgLYIA0rrih/WeBoRAuuI0C2QjL7eTdV0GntgOrQtMHyVpe/mgyoxPl2/devTgZCZtL8+cOjCvz8I927Z2ZHWvQ6U8py3vcbc7HPhREI5VP3gGGId7e3uxsbERESdO7le/+tXmDWBXr16Np556Ku7duxdbW1vR7/fjlVdeeVudwo5+uIknH1mfKrYGAdPiXqY/YFuwWoDfHotz5arq4Sprnvhgftxqe8cTXmgAyl6+ch4b8YOwNVyf/lbb/CiI/T7dgofr/N0mAzdhoXJ0dazLKxP3w0fxjB8FOXz2dhIHfniSG74OVuBFPOw/8/m88XUODw/jK1/5SlPWc889F5ubm81hz4PBIL7zne+cuS2PdfBnb28vPv/5z8d8Po9+vx8f/ehHYzKZxN27d+OJJ56IBw8exBe+8IWYz+extbUVn/zkJ2N3dzcuXrwYvd7Jazk3NzcbBXd8fBwHBwfx4MGDuHXrVrNtBAqSX5nHn7aVH5lyRprSfQV4+s35OMKnwSOtMyJfHfOoyAFv1x6Xtk1WpToXi0XzSlV1rlCOy+eUGxu0UtCQf6sBbMvT1p5S3W8n/SCAKkAEn/XDyyCx6gdp8Qav0WjUvOHr+vXrzazsBz/4waXnWNd1fPOb3+xAeEdnpoODg/jyl7/cgJ/3vOc9sbW1Fbu7u7G5uRlHR0fxta99rZnl/8AHPhAREVtbW83kwWQyWTpIczqdNvuzsWz3+Pg4Dg8Pm3oY8LvAAJMGnjgAwzqFJy2cvVJdpm8Uc4Fqp0d5zDo+HjU5J4fvcbuz9mWUOTiLxaI57NfZa8cf8+gmZ9x1DWA5/rJ7GYbIeHPt/pOiPwkdjTr4DV886YCzfni1aUTEdDptlt8fHh7Gzs5OfOMb32j69vve976V87Vwv6OOTkuHh4dNcLHX68WP/uiPxng8jt3d3dja2or5fB7f+ta3YjabxXw+jyeffDKuXr0am5ubEXESnByPx0sTBYeHh7G3txc3b95cCv5g4oy3EqueZ52kDqrqe9Xzqo/1WptPdBpyvg5ff1SkfKovto5tyXwglo3a3/39/bh58+ZKulIAytkZ91/5r2u/y6EtgLOOz5bRD6vfw34OJvg4+DOZTJqVeOBnf38/qupkd8Tu7m7cuHEjXnvttSZQ+6EPfSjm83mzYOXo6CheeumlM7fnsQ7+3LhxI/75P//nzUzMP/7H/zg+8YlPxI0bN5oI82/91m/F66+/HpPJpAHq169fj2vXrsV0Oo3ZbBabm5tNYOLo6Kgx7AzQEXWLeNjZeesIBgYPBF0KyQpVB9FisYjvfe97cfXq1aU9lyibv1WJOoeA+czA79bW1tJS5rdzoC0Wi3jjjTeWwDGMCreDA0QMcmFkZrOZPYQOz2k+n8fBwUG8+uqrdlUYPyN1ipBO5axpWYnqUljmqRTgyiLqpWDR4wAc11Hk2jbnLDkggDGLrV8MwPltKxEPX2WJJY51Xce9e/fixo0bcf/+/Wb8fvCDH4zd3d3Y2Nho0rzyyivd+VodnZneeOON+Kf/9J82QcVf/dVfjU996lPx5ptvxubmZly5ciU+85nPxNe//vXo9Xrx6U9/On7+538+7t27F1evXo2Dg4M4PDxsVhMg+HP//v3Y29trDjePeGh3MG4YxOoqTyzPB2GM4VwfR8fHx3Hr1q0mWApyQNRtb9JAEjsKroyqqlaCuG8nHR8fx507d+Lg4KDR07x9TkEt2xysLIR9Zl0PO85n9+3u7sZLL720JB/+ZtJrmSzcrK3aHc7vQL/y8rjYktOQbilxjiL+M61jcyNi6SUDanewbQv9u6qq2N/fj62trYg4ccy/9rWvxZ07dxq78+EPfzgODg6aMxsePHgQ3/72t8+8BL+jP930xhtvxD/5J/+k0fP/8B/+w/jYxz4Wr7/+ely8eDGuXLkSv/ZrvxYvv/xys+L5b/2tvxXPP/98bG1txYMHD2I2mzXOJtsc7HDQbaj8G3gLNoh9DuhCUFYG6Pj4OB48eJDapNMEpEuBJc6DFeV/ErRYLOLGjRvNxA3OTYp4KC/39mhs8Y6IpTd98hvYkIZ91fv371ufQ20GSNO69Ewq29LEQTYxkvkEjqcfJGX2k6+d1kfL/B0+Z45tDs41RX8Fptrb24snnniiee5/+Id/2Cxy2NjYiPe///1NMDgi4s0334zr16//cAZ/jo+Pm47f6/XiS1/6Unz84x+PK1euxJtvvhnvf//740Mf+lC89tprsbu7G7/5m78Z/+gf/aN44403mtc/7+3tNQa6qk4OPrt06dISsMbbhPgQWga7AGO8XJtBJHhFeW5gVlUVf/RHfxSvvvrq0moTFyhCpI9fU1rXy+c/MEBlQA7+RqNRfPrTn45r166l5z9wnSVqU9YwNF/4whfijTfeaIJoWV5VFC6gANlEnByQyqAK8tetDrjGW+w4sKRgnWXGgTx2tljBtSlD12YFp2cdqK7OdWmdZxCxGlzEPTY4WpYLPma0u7vbrHoYDAbNK3bxwdv38Lx2dnaaJZL37t2L+XweL730Uty7dy+Oj4/jhRdeiHe9611x69atuHDhQgwGg/j6178eOzs7p5JPRx0x4fWZ6PNf+tKX4s/9uT8XFy5ciBs3bsQzzzwTP/ETPxFf+cpX4ujoKD7/+c/HJz7xiaiqKq5cudLM3EBvoa9fvHhxabIB9oY/s9lsJXiOtDoGOdBRWp79R3/0R3Hr1q0YjUZR13Vz8CfKQF0cbIDug07o9/sxGo1if39/6TwHtYO9Xi8+9alPxQsvvGB1I+g0OiyzP7CJX/rSl+I73/lOIy8+rF91luoq5ZHvYVUwn6UEu8Bp2ZazbNraqECadSnbf3bEtOySjEu21QWuMt2u/K5LbTaBnQ2X3tmeEg9ZObPZLGaz2ZLd2djYiK2trdja2loK0kacBHsGg0Fsbm7G/v5+HB4exosvvtismHj++efjPe95T9y7dy+uXLkSg8EgvvrVr575rSsddbRYLOLOnTsREY2v8NGPfjQuXboUN2/ejKtXr8aHPvShZnXQ9evX42tf+1pcunSpcSjRH/EiAfg6inM54O18HbYBOBsowq+yRLmqJz7/+c/Hm2++uXRmngtC8KoiDQCzDYQt1SA9+Pz4xz8eTz/9dOt5SY/C15nNZvHFL34xXn/99SXbwGkzvcq6TP0UrIZHmWxPXJnwXRFQYtmqrsSzV1uCtOgX+qyyLXtah9qaUqCxZHOUsiCS8tFWhvqD/Jy0ze55ZfxmfhECeqPRqDlfTn0d9O9+vx87OzvNm44fPHgQ9+7diy9/+cvN/Q984APx9NNPx82bN5tJjK9+9avFIGsbPdbBn4hlx/SrX/1q7O3tNSB8Pp/HJz/5yfjt3/7tODw8jO985zvx+c9/Pj7+8Y/H9evX48d+7Mdic3MzdnZ24sknn2yU3WQyaVYTcB0RHpBxwAezhdzZ28AtypjNZnHjxo2lNjlFyG1fF3AhEIQ82A/4zDPPpIPjLJFyN7MFRTyfz+Pw8HDJaXFg0ykIVogc1KqqhzPjEauRfwbNali4PidH5yBwIAjEwSxVBE45ZmA1ew5cd4lfLT8ro60+vsczDSB16NBOfCsY4FV1uIY0/Baje/fuxeHh4creV5x6z0ABBu3ChQuxWCxid3c3Xn/99fjud78bu7u70e/34xOf+ERERBM06vV68eKLLy4ZzI46Oguxfv/GN74RDx48iI2NjWY5/cc//vH4jd/4jbh7927s7e3Fv/t3/y7+5t/8m/HGG2/ECy+80NidixcvNitXsTpNgQjXiaXAbHcYmEPHuxWOTNz/Z7NZfPe7300DHxllDrfTNaB+vx8vv/xyXLt2zdoXDWS1Eespd6+u65hOp3F4eNjojNJEjGsft4Xlc3h4uAK8OY+C5dJ2LX6WavMxacHODrejJJc24OvSuOeH51LKty6tkw92JAsAue2HfE9tD3/zp67ruHPnTjx48CBGo9HKdq/xeLzkgNZ1HQcHB3H58uU4Pj45JuCrX/1qvPrqqw0++fjHP750lkO/32+OH+ioo7OQ6uavf/3rsbe3F5ubmw2u/qmf+qn4jd/4jWYi7Atf+EJ88IMfjI2Njbh48WJsbW3Fzs5OXLp0qbE5m5ubK84uKAsO6OoVtjlIq+XpyqAHDx40W6fRPq0T5bmJC9XHTp8y35cvX44nn3wyle95fB0NFAADwNcBQe+7iWYmtfkgrALi+jNcj/9qF52/pfn0HutPfXOUs/0lDJHZrMz/Oouvw/fWIbYbusUx+635smv45hXCx8fHcfPmzWaVN1Z6q68T8fCs4YgTXwdj/Ytf/GLcuXMnqupkwconPvGJmE6nTdAIvo4+j9PQYx38YSey1+vF9773vfjWt74VH/nIR2J7ezvu3LkT73nPe+L9739/fOlLX4rFYhG//du/HT/5kz8ZdV3Hm2++GdeuXYvFYhFvvvlmPP30083SyMlkEhcvXlxa0cMACA8F1+DEwkGFIsDDduCRO66733aYlsuTKRM9NRzXdTVLqZwSH+zc8zU3eBlM6RY3/M4CNZyfFakGSJQPJxMuc50gHdeFeo6OjuIrX/lKszy8pNS5bjdLq0tAHb8RsbT9ifnMglUlYqPtaH9/P7761a822/Xqum6i1ryUlV8hrR/miccPn+3Dyx9xxs/Gxkaz3Yv3v1ZV1QCfwWAQt27divl8Hr/3e78Xb775ZhwfH8e1a9fiox/9aOOUR0TcvXs3/vN//s/dlq+Ozk1s5L///e/HSy+9FJ/4xCfi0qVLcevWrbh27Vp85CMfif/wH/5D1HUdf/zHfxzf+ta34l3velfcvXs3nnrqqTg6Oor9/f0maNTr9ZrXRkdEc+Af60NeBYRZV9gddnoRNGgDhyANtIPYVmQ60hEHcLQ8BVgsz7OQttPZWLcCKgOcbcQ2JgusOTvoylf7ooEj3YbGZb700kvx1FNPNcFt5UX1nPJUChCx3JAHerqN93WxQ2kL1HQ6ja9//euxv7/fOJoKoDWww58Mc0FOanv0nB/MwGJ7Isbn3bt3m5lZTFb8zu/8ThNYfPrpp+OnfuqnYn9/v8EDOzs78Yd/+IdFR6WjjtqIfZ3XXnstvvOd78SHP/zhuHLlSjOp8NGPfjR+53d+J46Pj+PGjRvxhS98IX76p386BoNBbG1tRV3X8eDBg7hw4UJjJ3DshQaf1e+Bv6MBVA7SaAC2RG5yl3+7wILDyqr33PZlBKpOq6OUOMBTSuN+O9vD8nY2LLOjmq6NVJ5t/h4HqMD3YrGIF198scEpvEMl4uH2cuVZbYnjB9cYu0REg/2Vb8ZEj8rXOTw8jG9+85txeHiY7t5xkxKwT8wf21b2eaqqanAdn2mK1XncXuC63d3d2N7ejsFgELdv3467d+/G7//+7zcLTV544YX44Ac/GPfu3YtLly5Fr9eLN954I772ta+da5vxYx38AeEBTKfT+L3f+7348Ic/HE888US89tpr8dRTT8XP/uzPxle+8pWoqipu3boVn/nMZ+KXfumX4pvf/GZsbm7G9vZ21HUdd+/ejUuXLjVLqba2tprzGba3t5eWRGKJL85Z0CWHvPqHFSF3DKc0I/zqDFUSDsg5hYL0OlD0kDYOpCgP65J77TG3HfJyEX0X2OHZa92apgqAKQv+lEAu0may5xlYln9ExKuvvhp3795dejUfL5MEYD4+Ptluh3OLlCdVKMwbv5Xsox/9aDz33HNp+9aZxXD9EeXx/el0Gt/+9rdjd3d3xcBmK9NKAEK/SwdtIqCGZYxQpHt7e80yyYODgzg4OIhvfvOb8cYbbzRj9xOf+ERcuHCh2RM/GAziC1/4Qty+fbsL/nR0LtLxOZ/P43Of+1x87GMfi4sXL8Z3v/vduHr1avz0T/90vPjii82qk8985jPx9//+34+7d+/GZDKJ7e3tuHfvXty/fz8uXLjQjIetra3mbZNXrlxZCvhgGTdecsCv4GXAws6xBmLRhjYAqMDcATadoNCgiAJOtAMrlVivOV2+DrHd0mfEegay4TqVR13VmbVNr7n/CgTBF+7xt6O6rpf4xjYz0CuvvBL7+/vN0nG0E21E3+DywBMArAsyAb9gO/nx8XEMBoP4sR/7sXj3u99tgyrQu+tSZndwbzabxUsvvdSc35aR9hv+z/2NsRsfsqmBH2z32tzcbEA6251+vx/b29txeHgY0+k0XnzxxeZchV6vFx/72Mfi0qVLzbmSg8Eg/uiP/ihu3rzZ2Z2OHglhZcnnP//5+NCHPhSXL19uJhZ+9md/Nl588cWYzWZxdHQUn/vc5+K9731v0+c3NzdjNpvFdDqN8Xjc6BgcGj2fz2Nzc3NJb06n08bewMfhbcC8AoYDsriG78xXwbdeV12r+N0FGbRM3caGSUQQ+xanIfVH8Fw4gMHYV/lybV8nOLxOACizR64Mp4N5dwUHbaqqijt37sRv/dZvNZhcJ6ecbB1/+rx4smoymcRsNmv06XPPPWd9XycPvZ75fE4OBwcH8cd//Mext7e3wpsGdLhvcZ08bhizwS/kFaFYaTqZTKzNQeBnOBzGxsZG7O7uxmw2i9/93d+NW7duRV2fbBv71Kc+Fb1er3kp1WAwiP/0n/5T3L9/P5XBOvSOCP5EPFQ8f/AHfxA3b96MZ555Jqqqitu3b8dHPvKR+DN/5s/EH//xH8dwOIzPf/7z8eM//uPx3HPPxSuvvBLvf//7m3MOeCn+YDBoZtZ2dnZic3NzxYHlfa8Aaqoc3Qc8Mylw1ntKbnZLBx/uqcJhAMSDWOm0YDwLOlVV1YBU134N/nBeXHdlu/pVkapstH7nODBhEPNKJSh4KMa9vb3m8C1Vgpwucy6co8C84QT3uq6X3gDEMnNtabvOM8alfom+rYZVy+frKBvPHP0NabDah0E4b/XCHldeTXdwcBB1XTevO7xz507s7e3F5z73ueYVh88991z8hb/wF+LBgwexvb0dEdGs+tNzMjrq6CzEOqau6/jSl74Ur7/+ejz33HMxGo3i5s2b8b73vS9+8id/Mv7jf/yPEXFyaOe//bf/Nv76X//rcfPmzWY2FisIMDM7HA7j6aefjrt37y69nVKdWZ54YJsTEcVVeOAf3wr6mEq6MQNYWZAkYvk1wiW7sy6VnAQGY9BBDgg5QK3AXH+79jsHpATMXd2cH7pRHRwEzyJODnV0MuCgURufTiaQWVU9nOi6evVqKruz4AQ3kcJyUBujmIC/FScwRlOc41b98Favzc3NZrsXbN50Oo3pdBpPPPFERETcv38/7ty5E5/97Geb4wKeffbZ+PSnP90cutnrnazO+/f//t+vrDzoqKPTEo/Z4+Pj+OIXvxh/9a/+1bh69WpMJpN44403Gpvzu7/7u9Hr9WJ/fz9+67d+K375l3+5GdMXL16MnZ2dODo6aladDofDuHz5cgwGg9jZ2WnGGnQA/BycOedW4bkJB+U7C3JkDrnqrhJ+zn7D5iBArjbnUdgf/Ia+4lWSJd60jfo7szmcJvMZ1+Vbr6mM2P+JeHiukfLoninraJ0sdjxVVRW7u7tNvbPZbEUeJZvjbLkL5JQmeDIcpHWjb4E/ttdqb3iygSe6+YBnHEqOZ4DzE69cuRLz+TwePHgQr732Wrz44otNIPM973lPfOxjH4udnZ24cuVKRJy8jfazn/3sue3NOyL4w53s9u3b8dnPfjZ+6Zd+Kd71rnf9/9s719i2rmvP/zcp6k2ZEi3JjiX5VcWx2ySOEyeOU9RB74ztxEXvNA2KBm3ipgUK9IG50w46bTEfipm2wBQNmrkXGBT3YqbTTFH03k4mcZzAj3Yc24O4rR03Tv2M67dlS4qohyVRIilR2vOBZ20vbp3Dp2SR8voBBMnDw3P2PvuctdZee+210dXVhY997GPYtm0bLl68iImJCcRiMezatQtf+9rX4Pf7ce3aNaxYsQI1NTUYGxszDiBa6j0YDAJIrdhA56PGJMOIVkshA5xuIC4MvcrtJhwzCTjbuLV/d/vNPj/N93Urz2x0jN2SwNXW1iIUCpnrRclOtdZpGe3dRiu96plJeNK+mQxd7tCh71yY2ULQvjY82oUrNlsg8nN4jZbb9wN3zJDw5NeU/z9be9tk69TwdrM93Pyc3LPPt9F3ewTETRjyqV6U5JkcP3xVoHg8jsnJSTQ0NMDv9yMSiWBqagrHjh1DJBIxDlsafe3r60M4HIbf78d7772Hy5cv53x9BCEb/DkZHBzEO++8g8997nNoaWnBtWvX0NzcjG3btuHkyZMYGRmBz+fD+++/j5UrV6KzsxN9fX1YsmQJmpqazEpfFIIfCARMCC/PJ2RHMlDHk+QWD993C112cwDxurhFb9gdcC8Dnh+HPtvvSimzwALJ+2IcQPZzbCf+TyaTqKurQ2Njo7kWFHlJ18jOy2Af0x5h5k4Vrm/crgmvu5fMcTM2ecQJvdN5+Cpk/Dy8LNzQ5nrEdgjZn/m2iooKY9/Q+Sn6lR+3UGxd7WajuBn7tp6xt9mGue308Yr44VOM7U5CLBZDQ0MDKisrzSIjBw4cwMDAgHluHn74YTQ1NaGvrw+NjY3w+/04d+4c/vrXv7p2bgWhEEjWRCIR/OEPf8AzzzyDJUuW4MKFC2htbcW2bdtw6tQpDA8Pw+fz4caNGzhy5Ai2bNkCv9+PcDhsBh2USuU4JZ1D+se23fx+PyYmJqCUMvLHHujmCaH5M83tyGzOcILO75b+gEduemHLAloBictGe6A5V2y5xWU3XZNgMGjSiHDZa0dY2tfAS054OcdmA7v+dt+F90dshw7BBym8jptLu3F4NBDvUxTS13Erjw3dW16BBnYkl10ernfsqB8+2GD3dWiwgdtetAgB9ZeHhoaQSCSwf/9+jIyMQKnU9LHNmzcjEAggmUya/tIf//hHdHd3z6h/vpSF84ffGABw6NAhPPbYY2hra0MgEEB/fz/Wr1+PBx980MyV6+3txa9+9St86Utfws2bN3Hjxg20t7ejpqYG4+PjGBgYQDgcRiwWMw1Ky+/aNwM1NB95dTNabM8zhVPz/5BQ0Pr28op8FJfO7zayy3/jDgg6Js+1QA8WdR6oTm5Tt/KBl5+fe3JyEtFo1OSOIXhEDC03SZ9pSTsyxkh4UkdoamoKk5OTacrIDnXn19/+zoWK/d1NSfFr6qbIqB62gHITpm5OIj7SaDtVKLJM61R4IjnLuGHuVp5MytX+TvcO/Y9ykvCpgXx/u178meBl48+IbYiTAc5fWqeStGqtzXzYqakpTExMIBgMmkg8mhpw4sQJM1qwbNkyfOITnzDLuwOpe2zv3r3mXnervyDkCpeT/H46cuQIHn30UaxYsQK1tbXo7e3FqlWr8MQTT2Dv3r0mcd+ePXvw/PPPIxgMore3F0uWLEEwGMStW7fM/G4a8aqqqkIymUQikTA5ROzoH9I9diSQrQM4tsFpG3qELR+prm4OHtvBQSOf3IDnutLts1cZs+GmB0kfjI6OGr1DETEka+i60XWkCA2lbi/vzo1W0qFuhrybXuNkcwTZRqqbrKJ7zz6GW5sA6Q4aLyePW7tSHUgn0SgsT/LK9ZyXUzFX7HajvAu2nrWdPnwbr6cdYWa/+KADTWGYnk6lDqBy0HlGRkZMWP7IyAii0ShOnTqFEydOmOesra0NW7ZswdjYmJmqDAD79u0zeSQFoRjs5xoADh48iIceeggrVqww0w1Xr15tdA7J1uPHjyMcDuP++++H1hpNTU0IhUIYHR3F5OQkgsGguffJIWqfm54lnn+LZCzZVrxfYs9M4OW3B1m5g4jLE9u25c+/m8zjTmouF6ivQ8+lLWML7fPwPhXVOZlMYnR01Ey7oTKQzOE6nHQQTauja0pylwY/aRof1ZUvC29jX5Ns3zluuom3E++nUN3cjmFH+bhdZy9nDN8ei8VMcnI3W8St3pnq4vYb9XXcdA6/D22dbAcGcEcptbdblCk5f3hfh85FfeBYLIa6ujoEAgEMDQ1hcnIShw8fxtWrV6F1KpXI2rVrsWHDhrS0ARMTE9i/f7/rIE++lLTzhy40x+fzYXBwEAcPHsQXv/hFLF26FJcvX0ZjYyM+9alPmXnkSilcvXoVu3btwjPPPGOiAjo6OsycQ0qMRo0zOTlpwn8nJyfNw0kXnoQmLRnq891O6gTMdP6QYOZltx0D9CAB7g4JO0qGJ54CbmeIpw4EvSjy5vr166ioqMDExASamprQ2tpadMc4mUyaPDF8tajx8fEZDxY3nOPxuJmHTNecO9XoWiQSCRM1VF9fj1AohJqaGnR3dxtnHV1rrbWZCzkxMWE6U3zuMl0nfh3ta0DtxPMguAk3t+9uv7k5Uug8bsY6XatAIIArV65gZGTEOEbWrl1rHJO54nYv9fb24tq1a8axpLXGyMiIEb5uHQ63MtNzScYCVxr0TFDbcGcdHZsSWvv9fuMRHx8fNzmAxsbGMDIygqGhIezbt88su11XV4ennnrKrKRESdLee+89fPDBB67yQhAKwTY2gVTU6cGDB7Fz5060trbi0qVLWLx4MbZu3YqTJ0+ip6cH09PTiEaj+O1vf4svf/nLGB0dhVIKS5cuNeH40WjU6B2S37FYzMht20HMneM8LwMfJLCdE7ajxK6XW4eby2u3qAv+P1uP8f26u7sxPT1tRqqamprQ1tZWdHskk0lcv34dw8PDAFKGeTQaNati0DYgpctpVNbv9xujy64HGW0TExOorKw0hhdFxdTV1RlHHbXVxMSEGU2niGDS9zxHEz+PLZds/cA7NV7X3b7Otp4BZkaTZmJqasoMwgDAjRs3jN1QXV2NdevWGQd7MQwNDeHmzZsmIktrjf7+frOkOtXbrpN9D/KBBtv5ww1xagOaukDXghvlpKdoid1gMIiJiQmMj48jEongrbfeSlsddvv27QgGgxgaGkIwGITf78fZs2dx4sSJoq+PIADuMmJwcBCHDh3CCy+8gNbWVnzwwQdobW3F9u3bcerUKZOPanp6GgcPHkQwGERHRweUUmhubkZ9fT2i0ShisRhqamrSdE48HjcOX96ZpHJwpz3Z6fQC0nPgEPSdT5fJZFd6Tc+h3/kxbVnIX93d3aZ/oVRqimZra2vR9uDU1BQuXbpk+jZTU1PGQcynGmut0wZsaeDTdujwenEbmRZACYVCUEqht7cXwO3cbpQjp6KiAolEIk3f8UFx3p/k19rNkcavja0vvKJg7LaxcdNJmf575coVcy3r6+vR2dk5wzHphZfjh/RLT0+P6TMnEgkMDg6mOeHsY9C973Z/0bXnOsfu65DOAW7bITxXH+k6GkCg1flisRguXLiAgwcPmn5vU1MTduzYYcpCttSRI0dw9epV0wcu1KkJlLjzxx7toxt7enoaR44cwRNPPIFVq1ahpqYGXV1d+MhHPoJPfvKT2L17t3FInDx5EsFgEE899RROnz4NrTU6OjqMINRao6GhwXjHyfkQi8VMWBblZCC8HAFeXk5693ow3P5DD2shjWufhx4A2/mUL1zIXbt2zSTOmpqaMk4x3oEg5cBXtamurjYOLBJsFRUVRsDRA9jU1GRG7Orq6jA0NGQeNj71gY6vdSqRWEtLC5YuXZr2MFKHqb+/H4ODg+acFRUVxlFEI8T0gFLSVYqyIvg1pGtCDzc39HkkE00f5G1LLzK+6fw+nw9VVVWIRqOoqqrC2NhYmnKm9i2k3eLxuEmITM+S1qn8OrZTkepF73w1Lt5xolxFvK2rqqrMkoRu+X1I6ZATlTt+YrEYIpEI4vE4Xn/9dZPzoqKiAhs3bsQDDzyAgYEBE+abSCTw+uuvp3nXi3VuCoKtewCYKYiPP/441q5di1AohK6uLqxevRo7duzAK6+8YqbRDAwMmMjTgYEBADARQKR3KMqNnj9aPjYej5tE5zQyRvDPtkOAdBRNj+ROIdqX5JQt1/ix3FYaJKcIyWwy8Em+8ZFCv9+Prq4uI0/JqWI71PNpC6rX1atXjTOYRnppQIHaiI/mASl5XFNTY/QLj3ah41AUak1NjVkgoqGhARMTExgcHDTyRSmFmpoaU3/SUaR3fL5U4mDK+VRbW4v+/n4zRYP0HDmj6JhcHpNOsp0h/F6k8lNbkZzmEbLkwLJtDx55q7U2HabKykpEIhHjFOns7ER1dfWMTkOu7UWfx8fHcf36dWMQU0eFInx5Hfj1oPuV63wAZnSV78/zyfl8vrRcC2Q4885OZWWlMcKDwSCmpqaMIb53717jYPT5fNi4cSPWr19vFn0gu2HXrl0m4ozaT3SPUCh2R5RkwdGjR7Fp0ybcd999aGlpweXLl7Fu3To8/fTTRucopcy9+5nPfMY824sXL8aiRYvMoGkwGDQrHdPUk0QigfHxcbMIAV/umxzcVCb7ncpJzzGXvySjbOcPPwZ3hPDnh+sicpxw+cb3J/v++vXrJuIzFAqZMhT6TFL/gfo6JINI1lAf084zSTqmpqbG2P12X4dHvjc2NqKqqgr19fWorq7Ghx9+CJ/PZ/ofANIimsiB3draipaWFrMf9VmSyST6+voQi8UQCARMPfigAF1LalvSgW59VLvtuNOBjkP3gN3X4U4ku69Ddv3g4CB8vtT09xUrVsxI2u2Gl51P5YhGo+jq6krrJ9IUcbu9qJxUH95/43UmO4O20zZajZOmeVFfmK/SSf2eaDSK2tpas+gH5ZZ74403TB/d7/fjySefRHt7O7q7u9HU1AStNaLRKN58800TmEIUen+XtPMHuN2ptEez+vv78cYbb+DrX/86Ojo6cPbsWTQ3N2Pr1q04d+4czpw5Y5T9kSNHUFtbi49//OM4c+YMfD4f7rnnHgSDQXPT0xK8yWQSNTU1JrmS1wgb/ZaNQhrGFoD5Gl9u587kiee4XWteBiAliNauXWsMYroRKbyRO+m4sKYy8c8kTCnSpa6uDg0NDUYhUceFklFyY5Y7m3h9KbkWCTafz4d4PI6pqSmTZ4McGiS4qNzkqeVQAmYAM6bxUd1ImPFQTrp3yVjk9edRMqRE6BhVVVXmuNyx5NYJyAV+Dfl97XZMfq/zfajc9rndwiXt58Ue3eEdl/HxcaNME4kE+vv74fP5cPToUVy5csUo/Y6ODmzfvh3JZDJtTu3u3btx/vx5c33F+SMUCzfo7OdicHAQ+/btQ3t7O1paWnDlyhUMDw9j06ZN+Mtf/oI//elP5pnv7e3Fr3/9azz//POIRqMYGBhAKBRCKBQy9ytNAeO554Dbeo+H3VPUCTmDSXfZ08Di8XiawcMdWSRn6BxUR+7Y5aH0PBybR7sCqQi+WCyW5vyhvBI0Ounz+dDc3DxD59h6yOuZ5f/x+/3o7Ow0eoG3ETc47QgfHjFC26enUyszUqRsbW2tWTVwdHTUlC+ZTGLRokVmRI+ug+1QIUcP5doLh8NpTjNKJEyGIBmh1Ibc6BwbG5thiPPBBZLDpAO5juXOPe6o43KZdB8ZkaRHed4pqhP/nskmyGSMNzY24tFHH53xXztKmHcm6VqRDrThOtTelx+TfuP3RSAQQCwWg8/nM47XW7duYXJyEr/73e9w9uxZc/2WLVuGHTt2mO+UM+jAgQN4//3306YRivNHKAbbIQ+k7t2BgQHs2bMHbW1taG1txfnz5xGJRLB582acOXMG77zzjhl4GxoawmuvvYZnn33WPBvhcNjkOPX5fKirqzM5RLicpJetc8gZzV/cGUuRFbyPYUei2g4b/syQjOT6icpOg4hkmwcCARMxSBHrtNBMPB43A4rUX+ADH/lAZQ8EAlizZk1aH4DqbqfroPoA6ct+8/9QX4f0PS0CQTpHa42Wlha0tLSkDTjYAzIATN0pjxNd/3g8nhbpSuUghzn1dagdqqqqzKwXu/y2fiYnDrcVaFCD2o4+029Ufj5tna4L9XVIfpMt4Sbz3fqtXn0h6uvwtue6n9sF/Df6bH+nd7do1EzloWcuEAiYVYzJbhoeHkYymcTu3bsRiURMG370ox/Fli1bTG5iSknz6quv4tq1a2l9Hbvs+VDSzp9gMIhHHnnECAPu9UwkEggGg+jr68Py5cuxcuVKjI+Po6WlBS+++CKOHz9ubnqK/picnMTGjRtN6Bd1tMl4pkbio26A+w3mdYMCM0Ps3G4kwjZUMpHLPl6OKq/juBnlbg4i/hCRUcT396pPPjem7XTwKjPfhwsxN8XJ/3vPPfcU/cDMlnFn1zHTd697hu+XzTGklDIjoV71sI1lvp99Tv4ft7Lz3+2Eq6TIRkdHjec8Go2ip6cHVVVVOHHiBM6fP49wOGw86s8++ywaGxvN/Nfp6WkMDAzg8OHDCAQCuHXr1owlHAWhEBoaGvDwww8DgBk5o04fJW3u6enBfffdh+XLl2NsbAyhUAhf+MIXsHLlSmOE0n3f19eH9evXG+OMDCEyCKmTzZ9jHrViR1TanWTC7Z7Pth+X1/bzTwaS17H5vuTUcNvX63wcL7nF5QsN2tj7uk15y1RvN/nF60IriXqVy82gdKs3QUZopjLw89tkkmW8nMXKPK86250bL93kpZco6aWb88hLd3sd0+s3tzrYjk8alIlGo1AqlSQ2kUigr68PPp8PJ06cwKVLl0z719bW4rOf/SzC4bBZlU8phdHRUbz99tuoqqrCrVu3zEIhXmUShGwEg0Fs3LgxLdKNIggSiQTq6+sRiUSwevVqrFq1CqOjo6isrMTnP/95rFy50gwg0PSgyclJNDc3mxWMKSKGO1vsQQNu3/Oobltmkx7iDgIeJZ5J9rr1NXjkCDBzkRU3fcIHEN324X2zbM+kl9wlZ0Z7e7vndbCPn01W2/vSNnulRTcZzJ3+2XT90qVLzf+y6e5szIYt7aXvvHDTiV79Urdz1dTUmAhdfh959SN5eTL1Nb36O/SddA4dh5xcw8PDZhbE8PAwhoaGUFtbiz179qC7u9sMkLW2tqat3Ed5IG/evImjR4+ayLDZ6OuoUlZWDz30kH777bddPW4A0hI5AukjmW4NyD19c0Gmm8MLe383A2c2y5zN0HITuNnqkmn/fMhVaczWsWfreLkYtJnui2zXL9tv+QiBbMZ0NiPcrcyZjHA+D5aMikQiYYzpQCCA0dFRk+hs1apVuH79OoLBoFmtjkbVBwcHTQ4OytEwNDSEeDyOY8eO4aWXXsLZs2d5pNGftdaPZL0ogsAgvQPMXGyA9AjpHt65BGY6z3nUyWzipuOIfDrJXr/b++Wrg/LRE1775nq8ubBh8tVns6H/+P9zvd65On+8HEzZdJLb/2z95vU5Wx3d6uG1r5sB7nU+OjZFNil1Oz/CwMCAyfETj8fR09ODZDKJZcuWYWxsLO15pyiuaDRqIolra2tNpFAikcDJkyfx0ksv4dixY6J3hILhfR3euafPPDIQSHd4251h2t92ohRLJp1DeD2fXp12L8eOl4PD65z8XHaZs5XTS9Zlkjl8v1zxkr256D+v49n7z5U+zFQGr+vGy+jVH/L67kam9nI7TqZyedUjk87LBs8zp1QqQmpychK3bt1CQ0MDqqurMTg4iO7ubrS2tiIYDOLDDz80uU8TiQQWLVqEqqoqRCIRhEIhM7CYSCTMIjjvvvsufvrTn+L06dNF6ZySjvyhudteF56id/h3gocl2lNT5pJ8jeVs+892mTMdz6ss2cqQ7/75HCuXY+ZqcN6Ja5ntGmb6T6bj5nLOXMj32F6/8e/Zzs+nitDqE4sWLTI5KaamptDS0oJFixahuroaa9asmfF/rTVCoZCZZ0tTJygnRUdHBx588EF8+9vfxuHDhzMmEhSETNB8fS/sCBfu2OF6hydDny24MZ3rvvSZyGQ42dvsY2U6ZjaKlXNe+3jtW+zIWD5lybZ/putt/zdTp6DQMmaS17nqsXw/F1PeTGXJdj5+/WhaHOVXCIVCZnVJyvEUDocRCATMSLHdVnV1dSYClaIoKCpi2bJluP/++/Hd734Xb7755oylqwUhF7L1dfiURnJMArcdMvTiU224DClGBnrpHK+BSPv59CqDl4yzB0qKkSn59Hfc5Eo+crCQMs5Wv6+YMgHF6cpM182rTIX0GTO1SaayZPtPpn3y1VM8BQglWg+FQmbwYHp6Gm1tbSaPcHt7+ww7anp6Gs3NzfD5Urn5+PQ+rTXa2trwwAMP4Fvf+hYOHTpUcF9ndocj5wDydvPRVp40NpMnj/bjBtWd9IoKd4Y74dQTCoOM5Xg8jv7+fpP/gkZi/X4/Ghoa0NzcbKak2c85Pb8kCPkIGP3u9/uxZs0avPzyy9i8ebPcE0JR8JwibnqHcDNi+H0723DHTS775rLNxo5i4v9zM+xL9VkrpbK5lYVfP9tGKZVylxv8fiUdMzQ0hEQigZaWFuP4AVJOnZaWFhOaz4130jHkQOIruQK39Q4Z8D/5yU+wbdu2WY/wE+4eMukcW/5yOcF1jtsMiWLJ5KCwdYCbTCvkuPxYwtwj17o4SO9Q2phIJAIAaG5uNvmXfD4fGhsbEQqFzHNqP+s8Hy0tSuTW1+ns7MTPfvazovo6WTWVUuoXSqk+pdRptq1JKfV7pdQF573R2a6UUv+glLqolDqplNrA/rPT2f+CUmpnzgVkAtFNsBQimARBmHvIQKFwxXA4jJqamrTnkYczZ3q+aV9g5lQcLjjvvfde/OhHP0JHR8c81FhYKND9VqzemSsHUCH/cXPcuO0j+nL+kGteHNyBRkk16+vr0djYmJaXhKYgZ3q+6eWmd2xHUXt7O374wx/i3nvvnc/qC2WMnZg+kx6x5TTfthDkx0Kog3D3MTY2hrGxMYTDYQSDwTTdQfoCcLcTeX/GzRaj33hf58c//jGWL19eUFlzGab4JYDt1rbvATigte4EcMD5DgBPAeh0Xl8F8HOn4E0AfgDgMQCPAvgBOYwEQViYkMBqaGgwq6wB6aOzuSh5r5ElGxKuGzZswDe/+c3ZqoZwFyLGpyCUN5WVlWhqajKRPYC7gzPXnFeZOuEUefqd73xnDmoi3A0sFMeNINxt0HNLK4Xbq7Pl8ly7TdP00jm8r/ONb3yjoDJndf5orf8fgEFr898CeMX5/AqAf8O2/y+d4k8AQkqppQC2Afi91npQaz0E4PeY6VASBGGBkc9IVqHHt435yspKPPfcc0WXXRAEQSgvSB/Q6l5uv9Fn/l7IefjnQCCAT3/60wWWWhAEQShXaBDAS7/kEjWe7fhuOqfQvk6hE5RbtdY9zudeALRO3TIAXWy/G842r+2CIAizAglGn8+HcDg8z6URBEEQ5pu5jqbgxn0wGJzTcwmCIAh3N7PR1yk6O51OxczOWhZlpdRXlVLHlVLH+/v7Z+uwgiDcBfC5sYKQK6J3BGHhMtdTargxLgi5IDpHEIRCKbavU6im+tCZzgXnvc/ZfhNAO9uvzdnmtX0GWut/0lo/orV+ZPHixQUWTxCEuxmZOy/kg+gdQRCKQXK2CPkgOkcQhGIpVOcU6vzZDYBW7NoJ4A22/QWVYhOAYWd62H4AW5VSjU6i563ONkEQhFlFDHBBEARBEARBEBYixfR1KrLtoJT6DYAnASxWSt1AatWu/wLgt0qprwC4BuBzzu57ADwN4CKAcQAvAoDWelAp9UMA7zr7/WettZ1EuqSgzNs8Azf/jXC7+Py/mfYTBEEQBEEQBEG40/DVVwVBuDvI6vzRWnulkv4bl301ANd1x7TWvwDwi7xKVwBuzppijmUfM9OyoESuy4gKgiAIAmEPGGQahKD9uW4SA14QBEHIFa4z3AasxTkkCAuPrM6fciMfAWULNTfBNz09DaWUeSemp6c9k/vRceg/kgRQEARBIDLpHv7d1jOkU7wcQ1pr0TuCIAhCGm5OHK53SI+QztFaZ3X80D70X9E5glAeqFKOTFFKjQI4P9/lmAMWA1ho6f2lTuXB3VSn5Vrr5jtdGKG8WaB652567ssZqVN5kKlOoneEvFBKRQCM4e56TsoVqVN5cDfVKW+dU+qRP+e11o/MdyFmG6XU8YVWL6lTeSB1EoSsLDi9sxCfEalTeSB1EoTMaK2bF+I9JXUqD6RO5cFs1kli9ARBEARBEARBEARBEBYw4vwRBEEQBEEQBEEQBEFYwJS68+ef5rsAc8RCrJfUqTyQOglCZhbi/SR1Kg+kTuXBQqyTML8sxHtK6lQeSJ3Kg1mrU0knfBYEQRAEQRAEQRAEQRCKo9QjfwRBEARBEARBEARBEIQiKFnnj1Jqu1LqvFLqolLqe/NdnlxRSrUrpQ4qpc4qpc4opf7O2d6klPq9UuqC897obFdKqX9w6nlSKbVhfmvgjVLKr5Q6oZR6y/m+Uil11Cn7vyilKp3tVc73i87vK+a14B4opUJKqVeVUh8opc4ppR4v93ZSSn3Lue9OK6V+o5SqLrd2Ukr9QinVp5Q6zbbl3S5KqZ3O/heUUjvnoy5CeVGOekd0TunKMjdE75RmW4neEeaDctQ5gOgdZ3tJyjIb0Tml207zpXdK0vmjlPID+G8AngKwDsBzSql181uqnEkC+Pda63UANgH4hlP27wE4oLXuBHDA+Q6k6tjpvL4K4Od3vsg583cAzrHvPwHwstb6IwCGAHzF2f4VAEPO9ped/UqRvwewT2t9H4AHkapb2baTUmoZgH8L4BGt9ccA+AF8HuXXTr8EsN3alle7KKWaAPwAwGMAHgXwAxKgguBGGesd0TmlK8vcEL1Tmm31S4jeEe4gZaxzANE7QOnKMhvROaXbTr/EfOgdrXXJvQA8DmA/+/59AN+f73IVWJc3APxrAOcBLHW2LQVw3vn8jwCeY/ub/UrpBaDNuQk/CeAtAApAP4AKu80A7AfwuPO5wtlPzXcdrPosAnDFLlc5txOAZQC6ADQ51/0tANvKsZ0ArABwutB2AfAcgH9k29P2k5e87NdC0Tuic0pLlll1Er1Twm0lekded/K1UHSOU3bROyUky1h9ROeUeDvNh94pycgf3G5Y4oazraxwQsseAnAUQKvWusf5qRdAq/O5XOr6XwH8BwDTzvcwgFta66TznZfb1Mn5fdjZv5RYCSAC4H864Z3/XSlVhzJuJ631TQAvAbgOoAep6/5nlHc7Efm2S8m3l1BylP09Izqn5GWZ6J3yaStA9I4wtyyI+0X0TknLMtE55dFOnDnXO6Xq/Cl7lFL1AP4PgH+ntR7hv+mUa65slllTSn0KQJ/W+s/zXZZZpALABgA/11o/BGAMt0PrAJRlOzUC+FukhP09AOowM5yw7Cm3dhGEO4HonLJA9E6ZUm7tIgh3AtE7JY/onDJmrtqmVJ0/NwG0s+9tzrayQCkVQEoY/lpr/Zqz+UOl1FLn96UA+pzt5VDXJwB8Wil1FcA/IxUO+fcAQkqpCmcfXm5TJ+f3RQAG7mSBc+AGgBta66PO91eREpDl3E7/CsAVrXVEaz0J4DWk2q6c24nIt13Kob2E0qJs7xnROWUjy0TvlE9bAaJ3hLmlrO8X0TtlIctE55RHO3HmXO+UqvPnXQCdTubuSqQSOe2e5zLlhFJKAfgfAM5prX/GftoNYKfzeSdS82Np+wtOFu9NAIZZuFdJoLX+vta6TWu9Aqm2eFtr/QUABwE86+xm14nq+qyzf0l5lbXWvQC6lFJrnE1/A+AsyridkAqB3KSUqnXuQ6pT2bYTI9922Q9gq1Kq0Rkl2OpsEwQvylLviM4BUCayTPQOgDJpKwfRO8JcUpY6BxC943wueVkmOgdAGbSTxdzrnWyJiObrBeBpAH8FcAnAf5zv8uRR7o8jFaJ1EsD7zutppOYXHgBwAcD/BdDk7K+QyvZ/CcAppLKXz3s9MtTvSQBvOZ9XATgG4CKA/w2gytle7Xy/6Py+ar7L7VGX9QCOO221C0BjubcTgP8E4AMApwH8CkBVubUTgN8gNY93EqlRi68U0i4AvuzU7SKAF+e7XvIq/Vc56h3ROaUryzzqI3qnBNtK9I685uNVjjrHKbfonRKVZS51EZ1Tou00X3pHOX8SBEEQBEEQBEEQBEEQFiClOu1LEARBEARBEARBEARBmAXE+SMIgiAIgiAIgiAIgrCAEeePIAiCIAiCIAiCIAjCAkacP4IgCIIgCIIgCIIgCAsYcf4IgiAIgiAIgiAIgiAsYMT5IwiCIAiCIAiCIAiCsIAR548gCIIgCIIgCIIgCMICRpw/giAIgiAIgiAIgiAIC5j/D5BPSbVxXFRvAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "multiple_plot(files, image=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{1: 'Plant', 2: 'Axis', 3: 'Axis', 4: 'Axis', 5: 'Axis', 6: 'Axis', 7: 'Axis', 8: 'Axis', 9: 'Axis', 10: 'Axis', 11: 'Axis', 12: 'Axis', 13: 'Axis', 14: 'Axis', 15: 'Axis', 16: 'Axis', 17: 'Axis', 18: 'Axis', 19: 'Axis', 20: 'Axis', 21: 'Axis', 22: 'Axis', 23: 'Plant', 24: 'Axis', 25: 'Axis', 26: 'Axis', 27: 'Axis', 28: 'Axis'}\n", + "MTG : nb_vertices=20, nb_scales=3\n", + "MTG : nb_vertices=20, nb_scales=3\n", + "/Plant\t\t\t(id=1, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=2, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=3, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=4, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=5, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=6, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=7, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=8, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=9, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=10, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=11, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=12, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=13, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=14, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=15, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=16, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=17, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=18, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=19, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "MTG : nb_vertices=16, nb_scales=3\n", + "MTG : nb_vertices=16, nb_scales=3\n", + "/Plant\t\t\t(id=1, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=2, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=3, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=4, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=5, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=6, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=7, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=8, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=9, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=10, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=11, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=12, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=13, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=14, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=15, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "MTG : nb_vertices=29, nb_scales=3\n", + "MTG : nb_vertices=29, nb_scales=3\n", + "/Plant\t\t\t(id=1, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=2, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=3, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=4, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=5, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=6, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=7, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=8, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=9, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=10, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=11, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=12, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=13, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=14, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=15, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=16, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=17, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Axis\t\t\t(id=18, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=19, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=20, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=21, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=22, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "/Plant\t\t\t(id=23, scale=1)\t\t\t\t\t\t\t\t\t\t\t\n", + "^/Axis\t\t\t(id=24, scale=2)\t\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=25, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=26, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=27, scale=2)\t\t\t\t\t\t\t\t\t\t\n", + "\t+Axis\t\t\t(id=28, scale=2)\t\t\t\t\t\t\t\t\t\t\n" + ] + } + ], + "source": [ + "labels = g.property('label')\n", + "print(labels)\n", + "for rsml_file in files: \n", + " g = rsml.rsml2mtg(rsml_file)\n", + " print(g)\n", + "\n", + " for v in g.vertices(scale=2):\n", + " labels[v]='Axis'\n", + " g.properties()['label']=labels\n", + "\n", + " g.display(display_id=True, display_scale=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot.plot2d(g)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['edge_type', 'label', 'ID', 'geometry']" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g.property_names()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nb Plants: 1\n", + "Nb First order 6\n", + "First order vids [2, 23, 24, 45, 67, 101]\n", + "Length of 1st order roots\n", + "[33.536945, 0.15486445, 29.506647, 32.945503, 24.281567, 30.632915]\n", + "Nb laterals 2 is 20\n", + "Length laterals 2 is [2.2178886, 6.5352187, 5.4497843, 5.4602523, 3.7157426, 0.8301312, 3.978765, 2.6007152, 0.95336854, 0.9644195, 0.51628274, 2.257227, 1.6528257, 2.4448996, 5.4162636, 3.8353221, 8.391615, 0.4948241, 7.422333, 0.92594594]\n", + "Nb laterals 23 is 0\n", + "Length laterals 23 is []\n", + "Nb laterals 24 is 20\n", + "Length laterals 24 is [4.8826466, 3.4244606, 2.7466435, 0.90676194, 5.8938103, 4.3325844, 2.54712, 3.1551237, 5.0200286, 0.7661697, 3.0856135, 2.2990532, 1.2192911, 1.5815969, 2.7571108, 7.509963, 5.036606, 6.244242, 0.19073406, 0.40077168]\n", + "Nb laterals 45 is 21\n", + "Length laterals 45 is [7.6541233, 8.530355, 2.6057575, 5.4715714, 5.6892033, 4.383833, 5.090256, 3.6031044, 3.0893168, 1.8492123, 2.0142677, 1.3079118, 1.1847087, 0.8404625, 0.67187715, 2.4815085, 2.4254713, 1.1298352, 3.671624, 9.160546, 6.0274787]\n", + "Nb laterals 67 is 33\n", + "Length laterals 67 is [1.7576815, 1.2231938, 1.5939372, 1.8219213, 4.0925236, 2.1861181, 2.058086, 1.0932692, 0.64237314, 0.60896695, 0.61577886, 0.6365796, 0.71328545, 0.6140727, 0.5726901, 0.6918003, 0.68732303, 0.62916213, 0.66080874, 0.63852173, 0.58839595, 0.6348159, 0.61856043, 0.5682496, 0.6156429, 0.6539147, 0.66519755, 0.6200558, 4.382284, 0.50023097, 1.6210544, 0.27829108, 2.3477194]\n", + "Nb laterals 101 is 20\n", + "Length laterals 101 is [0.57012373, 5.5678368, 1.4904954, 2.2367637, 2.1891413, 3.7055361, 3.228222, 1.481318, 1.5340792, 1.2216457, 0.50422084, 4.2601743, 2.0065298, 0.609061, 2.406309, 1.4215752, 1.3145239, 0.51159537, 1.7115802, 0.2941068]\n" + ] + } + ], + "source": [ + "\n", + "# Scale : 1\n", + "print('Nb Plants: ', g.nb_vertices(scale=1))\n", + "\n", + "# Real plants\n", + "roots = g.component_roots_at_scale(0, scale=2)\n", + "\n", + "print('Nb First order ', len(roots))\n", + "print('First order vids', roots)\n", + "print('Length of 1st order roots')\n", + "print([float(g.node(rid).length) for rid in roots])\n", + "\n", + "orders = algo.orders(g)\n", + "\n", + "laterals = {}\n", + "lengths = {}\n", + "insertions = {}\n", + "for rid in roots:\n", + " total_length = float(g.node(rid).length)\n", + " laterals[rid] = [ vid for vid in traversal.pre_order2(g, rid) if orders[vid] == 1]\n", + " lengths[rid] = [float(g.node(vid).length) for vid in laterals[rid]]\n", + " insertions[rid] = [total_length - float(g.node(vid).insertion) for vid in laterals[rid]]\n", + " print('Nb laterals ', rid, 'is', len(laterals[rid]))\n", + " print ('Length laterals ', rid, 'is', lengths[rid])\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.clf()\n", + "for rid in lengths:\n", + " if len(lengths[rid])>0:\n", + " xy = np.array(sorted(zip(insertions[rid], lengths[rid]), key=lambda x: x[0]))\n", + " plt.plot(xy.transpose()[0], xy.transpose()[1])\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[10.618999000000002,\n", + " 10.622402000000001,\n", + " 12.623029000000002,\n", + " 8.313623,\n", + " 11.127818999999999]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[min(insertions[rid]) for rid in roots if insertions[rid]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TODO\n", + "\n", + "## Convert the analysis into a csv\n", + "- plant (label)\n", + "- primary length\n", + "- # lateral root\n", + "- nude tip length\n", + "- lateral root label \n", + "- lateral root length\n", + "- insertion angle\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['rac_pl5', 'root_', 'primrootpl4', 'rpl3', 'prpl2', 'racpl1']" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[g.label(r) for r in roots]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['64.38947738127416', '42.785179225173636', '43.7311604252204', '67.2710522298325', '53.02628290442071', '48.61007383238723', '56.3834984664004', '58.071852927335854', '69.62448953100878', '77.57208398885727', '57.940303483921404', '36.34228910185728', '24.65722879055615', '68.72958448557537', '61.5588830646808', '51.997547132390075', '71.97694328494457', '45.72315777589794', '30.992065321202897', '32.61295117351696']\n", + "[]\n", + "['42.71633091833991', '56.846954122342446', '55.22702449651218', '56.38052050392228', '47.11592897031192', '58.16706576436583', '60.53379461366695', '65.58906350520351', '31.00523392592268', '51.352340142633984', '50.81261859441958', '83.91786248255438', '70.04746948592933', '71.3961449790617', '62.91761259627144', '44.173510796627106', '55.01780214185635', '65.80861310588439', '77.10683882335269', '103.4504139992283']\n", + "['26.66453942535286', '43.88295454933476', '77.2451364936671', '58.19941354027501', '25.1443032406481', '47.284142869190994', '63.31418703986072', '61.421541620850185', '67.95852443017263', '73.25689341464827', '71.5578428774726', '68.94726261442368', '66.05769644453642', '79.87172672013052', '91.5163249907885', '42.95809229420168', '48.10211266381338', '98.32922012182279', '1.0201570544331044', '0.28173164288468594', '20.32825489460207']\n", + "['45.10331810871928', '64.98539772597944', '36.95700612715844', '62.52543679450765', '37.18322199246926', '74.21626178546828', '68.79858305657083', '64.08930422763045', '15.45409529909757', '16.78308618704197', '17.71341259351107', '13.72925396761591', '62.99827713036929', '16.339451740071304', '13.297394766774344', '13.09696969576949', '13.569646107091053', '16.4872297129537', '13.875747864934343', '13.802036463411566', '13.041071427602105', '14.127945769847894', '21.224129826897624', '13.481973798904768', '19.688894546775515', '12.97970900809871', '14.01284342195484', '19.54674464976921', '54.61202060326589', '48.869976190684554', '16.576759832594227', '53.14313378074129', '34.85819827824024']\n", + "['79.11562477901012', '69.00917144906067', '62.110967255292934', '62.38872372808067', '59.966943554069246', '48.45573887790162', '43.06342747158161', '48.96771619770744', '63.882021646698895', '71.05749053963413', '83.7882118317292', '74.9704239528644', '71.81626991490918', '66.23099200415798', '63.659412121269845', '56.47633439759921', '51.50707124809146', '13.60565486439536', '176.71742975422654', '130.90743295322108']\n" + ] + } + ], + "source": [ + "for rid in laterals:\n", + " ll = laterals[rid]\n", + " angles = [g.node(v).angle for v in ll ]\n", + " print(angles)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.7.7" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/src/rsml/io.py b/src/rsml/io.py index e27b469..47c53ca 100644 --- a/src/rsml/io.py +++ b/src/rsml/io.py @@ -216,21 +216,47 @@ def geometry(self, elts, **properties): def polyline(self, elts, **properties): """ A root axis - geometry - polyline """ self._polyline = [] # will store all points in `elts` + self._time = [] + self._time_hours = [] for elt in elts: self.dispatch(elt) + if self._polyline: + self._node.geometry = self._polyline + self._polyline = None + if self._time : + self._node.time = self._time + self._time = None + if self._time_hours : + self._node.time_hours = self._time_hours + self._time_hours = None + + def point(self, elts, **properties): poly = self._polyline point = [] + times = self._time + times_hours = self._time_hours if properties: - coords = ['x', 'y', 'z', 't'] - coords.extend(['coord_x', 'coord_y', 'coord_z', 'coord_t']) - point = [float(properties[c]) for c in coords if c in properties] + if 'x' in properties or 'coord_x' in properties: + coords = ['x', 'y', 'z'] + coords.extend(['coord_x', 'coord_y', 'coord_z']) + point = [float(properties[c]) for c in coords if c in properties] + if 't' in properties or 'coord_t' in properties: + coords = ['t', 'coord_t'] + time = [float(properties[c]) for c in coords if c in properties] + times.append(time[0]) + if 'th' in properties or 'coord_th' in properties: + coords = ['th', 'coord_th'] + time_hours = [float(properties[c]) for c in coords if c in properties] + times_hours.append(time_hours[0]) else: point = [float(elt.text) for elt in elts] poly.append(point) + #print('point', point) - self._node.geometry = poly + + def functions(self, elts, **properties): """ A root axis with geometry, functions, properties. From a064d91d0269d27e436baf098f99e196cd336dc0 Mon Sep 17 00:00:00 2001 From: pradal Date: Thu, 29 Feb 2024 08:07:38 +0100 Subject: [PATCH 5/7] Full data analysis of HIRROS root. Design a new application --- .github/workflows/conda-package-build.yml | 72 +- README.md | 27 + setup.py | 6 +- src/rsml/hirros.py | 235 +++ test/data/61_graph_expertized.rsml | 1848 +++++++++++++++++++++ test/test_discrete_mtg.py | 6 +- test/test_hirros.py | 36 + 7 files changed, 2165 insertions(+), 65 deletions(-) create mode 100644 src/rsml/hirros.py create mode 100644 test/data/61_graph_expertized.rsml create mode 100644 test/test_hirros.py diff --git a/.github/workflows/conda-package-build.yml b/.github/workflows/conda-package-build.yml index 310c7a4..d21c036 100644 --- a/.github/workflows/conda-package-build.yml +++ b/.github/workflows/conda-package-build.yml @@ -2,66 +2,16 @@ name: build_publish_anaconda on: push: - branches: [ master ] + branches: + - '**' + tags: + - 'v*' pull_request: - branches: [ master ] - -jobs: - build-and-publish: - name: ${{ matrix.os }}, Python 3.${{ matrix.python-minor-version }} for conda deployment - runs-on: ${{ matrix.os }} - strategy: - fail-fast: false - max-parallel: 3 - matrix: - os: [ ubuntu-latest] - python-minor-version: [9] - isMaster: - - ${{ github.ref == 'refs/heads/master' || startsWith(github.ref, 'refs/heads/dev') }} - exclude: - - isMaster: false - os: ubuntu-latest - python-minor-version: 7 - - isMaster: false - os: ubuntu-latest - python-minor-version: 8 - - isMaster: false - os: macos-latest - python-minor-version: 7 - - isMaster: false - os: macos-latest - python-minor-version: 8 - - isMaster: false - os: macos-latest - python-minor-version: 9 - - isMaster: false - os: windows-latest - python-minor-version: 7 - - isMaster: false - os: windows-latest - python-minor-version: 8 - - isMaster: false - os: windows-latest - python-minor-version: 9 + branches: + - '**' - steps: - - name: Chekout - uses: actions/checkout@v3 - - name: Determine publish - uses: haya14busa/action-cond@v1 - id: publish - with: - cond: ${{ contains(github.ref, 'master') || startsWith(github.ref, 'refs/heads/v') }} - if_true: 'true' - if_false: 'false' - - name: Build and Publish - uses: openalea/action-build-publish-anaconda@v0.1.4 - with: - conda: conda - mamba: true - python: ${{ matrix.python-minor-version }} - numpy: '20.0' - channels: openalea3, conda-forge - token: ${{ secrets.ANACONDA_TOKEN }} - publish: ${{ steps.publish.outputs.value }} - label: main +jobs: + build: + uses: openalea/github-action-conda-build/.github/workflows/conda-package-build.yml@main + secrets: + anaconda_token: ${{ secrets.ANACONDA_TOKEN }} diff --git a/README.md b/README.md index 9a05d7c..212194d 100644 --- a/README.md +++ b/README.md @@ -59,3 +59,30 @@ The **rsml** package is an openalea package and thus requires openalea.deploy to ### Tutorial [RSML tutorial in Python](http://nbviewer.ipython.org/github/RootSystemML/RSML-conversion-tools/blob/master/python/rsml/example/RSML%20tutorial%20in%20Python.ipynb) + + +# Limit order 1(primary) order 2 (secondary) +## 4/5 different array with key : plant +- Total Length, +- nb racine (t absolute) (P1), +- primary length +- nude tip length +- frequency vs IBD (P2) + +# Axis : time in raw +## time is known + +Plant Lateral lenght +- Length by root (t) (question unit?) + - time as col + - name : Ln nth root along primary from base + +Tab Position +- col : L1 ... Ln +- position on primary + + +- # root , position lateral (from base , distance) + +script : rsmlanalysis rsmls.txt| *.rsml +TODO: define options to group all the analysis in a same file (csv) or in several files. \ No newline at end of file diff --git a/setup.py b/setup.py index acf2041..fa98119 100644 --- a/setup.py +++ b/setup.py @@ -6,7 +6,7 @@ from setuptools import setup, find_packages # Define metainfo -version = '1.1.3' +version = '1.2.0' name = 'RSML' package = 'RSML' description= 'RSML package provide IO functionality between .rsml file and MTG' @@ -60,5 +60,9 @@ # Declare scripts and wralea as entry_points (extensions) of your package entry_points={ 'wralea': ['rsml = rsml_wralea'], + 'console_scripts': [ + 'hirros = rsml.hirros:main' # Define a console script to run your Voilà app + ] + }, ) diff --git a/src/rsml/hirros.py b/src/rsml/hirros.py new file mode 100644 index 0000000..cf7272d --- /dev/null +++ b/src/rsml/hirros.py @@ -0,0 +1,235 @@ +""" +Module that provide tools on 2D+t RSML-type MTG: + * Get observation times : `times`` + * Extract primary lengths + * Extract secondary lengths for each plant +""" +import argparse +from path import Path + +import numpy as np +import pandas as pd + +import rsml + + +def walk(dir: str, recursive=True): + """ + """ + dir = Path(dir) + fns = None + for rsml_file in ['61_graph_expertized.rsml', '61_graph.rsml']: + fns = dir.glob(rsml_file) + if not fns and recursive: + fns = dir.glob('*/%s'%rsml_file) + if fns: + break + if not fns: + print("ERROR: no rsml files found") + + final_fns = [] + for fn in fns: + if (fn.parent/'80_graph_analysis.xlsx').exists(): + continue + else: + final_fns.append(fn) + return final_fns + +def read(fn): + g = rsml.rsml2mtg(fn) + return g + +def times(g): + """Return Observation dates in hours.""" + obs_t = g._graph_properties['metadata']['observation-hours'].split(',') + observations = [float(t) for t in obs_t] + return observations + +# Primary Length + +def primaries(g, plant_ids, obs): + """ Return length of primary roots at various observation times. """ + prims = [next(g.component_roots_iter(pid)) for pid in plant_ids] + seq = [sequence_length(g, obs, vid) for vid in prims] + return seq + + +def secondary(g, pid, obs): + """ Return the length of secondary roots through time of a given plant.""" + + res = [] + for cid in g.components_iter(pid): + if g.order(cid) >= 1: + res.append(sequence_length(g, obs, cid)) + return res + +def sequence_length(g, obs, vid): + """ Return the length of a root at different observation times. + """ + polyline = g.property('geometry')[vid] + pos = np.array(polyline) + time = g.property('time_hours')[vid] + + n = len(obs) + obs_index = 0 + i = -1 + length_time = [] + + for to in obs: + index = -1 + for t in time: + if t <= to: + index+=1 + else: + break + + if index == -1: + length_time.append(0.) + else: + vec = np.diff(pos[:index+1],axis=0)**2 + sum_seg = vec.sum(axis=1)**.5 + length_time.append(sum_seg.sum()) + + return length_time + +def length_and_number(secondary): + secs = np.array(secondary) + total_length = secs.sum(axis=0) + total_number = np.count_nonzero(secs, axis=0) + + return total_length.tolist(), total_number.tolist() + + +def write_xls(xls_file, obs, primaries, secondaries): + + data = [obs] + index=['time(h)'] + for i, p in enumerate(primaries): + data.append(p) + index.append('P%d'%(i+1)) + + ps = np.array(primaries) + _mean = ps.mean(axis=0) + + data.append(_mean) + index.append('Mean') + + dfp = pd.DataFrame(data, index = index) + + print(dfp) + + dfs= [] + + + + for sec in secondaries: + + data = [obs] + index=['time(h)'] + if not sec: + continue + #print('Secondary: ', sec) + for i, p in enumerate(sec): + data.append(p) + index.append('R%d'%(i+1)) + + tot_len, tot_num = length_and_number(sec) + + index.append('Total Length') + data.append(tot_len) + + index.append('Total Number') + data.append(tot_num) + + df = pd.DataFrame(data, index = index) + dfs.append(df) + + print(dfp) + + if xls_file: + with pd.ExcelWriter(xls_file, engine="xlsxwriter") as writer: + dfp.to_excel(writer, + sheet_name='Prim', + float_format="%.2f", + header = False) + for i, df in enumerate(dfs): + df.to_excel(writer, + sheet_name='RP%d'%(i+1), + float_format="%.2f", + header = False) + + +def run(fn): + g = read(fn) + obs = times(g) + + plant_ids = g.vertices(scale=1) + + prims = primaries(g, plant_ids, obs) + + + secondaries = [] + for pid in plant_ids: + s2 = secondary(g, pid, obs) + secondaries.append(s2) + + # Write in xlsx + xlsx_file = fn.parent/'80_graph_analysis.xlsx' + write_xls(xlsx_file, + obs, primaries=prims, secondaries=secondaries) + + print('WRITE %s'%xlsx_file) + +def main(): + + parser = argparse.ArgumentParser() + parser.add_argument('-d', default='.', help='directory to process') + parser.add_argument('-r', default=True, type=bool, help='traverse the directories recursively') + + args = parser.parse_args() + + dir = args.d + recursive = args.r + + fns = walk(dir=dir, recursive=recursive) + if not fns: + return + + if len(fns) == 1: + fn = fns[0] + print('Process file %s'%(fns[0])) + run(fn) + + else: + for fn in fns: + print('Process file %s'%(fns[0])) + run(fn) + + + +if __name__=='__main__': + g = read('set_de_5/230403VS004') + obs = times(g) + + plant_ids = g.vertices(scale=1) + + prims = primaries(g, plant_ids, obs) + + + + secondaries = [] + for pid in plant_ids: + s2 = secondary(g, pid, obs) + secondaries.append(s2) + + for s in secondaries: + secs = np.array(s) + total_length = secs.sum(axis=0) + total_secs = np.count_nonzero(secs, axis=0) + print(total_length) + print(total_secs) + print() + + # Write in xlsx + write_xls('80_graph_analysis.xlsx', + obs, primaries=prims, secondaries=secondaries) \ No newline at end of file diff --git a/test/data/61_graph_expertized.rsml b/test/data/61_graph_expertized.rsml new file mode 100644 index 0000000..680308b --- /dev/null +++ b/test/data/61_graph_expertized.rsml @@ -0,0 +1,1848 @@ + + +1.4 +pixel(um) +76.0 +06-02-2024 15:57:57 +RootSystemTracker +Unknown +61_graph_expertized +0.0,6.0014,11.9996,18.0004,24.0017,29.9988,35.9991,41.9991,48.0008,53.998,60.0009,65.9991,72.0007,77.998,83.997,89.9986,96.0,101.9982 + + +Nothing there + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/test/test_discrete_mtg.py b/test/test_discrete_mtg.py index 8f4f5fd..f168a51 100644 --- a/test/test_discrete_mtg.py +++ b/test/test_discrete_mtg.py @@ -1,9 +1,9 @@ """ Test discrete mtg -> continuous -> rsml, and backward """ +import pickle -def test_load_discrete(): - import pickle # F. Bauget 2022-04-12: no cPickle module in py3 +def load_discrete(): from openalea.deploy.shared_data import shared_data import rsml filename = shared_data(rsml)/'discrete.bmtg' @@ -48,7 +48,7 @@ def test_tree(g0): assert len(g0.vertices(scale=3))==len(gd.vertices(scale=3)), 'not the same number of segment' test_tree(simple_tree()) # test simple tree - test_tree(test_load_discrete()) # test complex tree + test_tree(load_discrete()) # test complex tree ##def test_discrete_to_rsml(): diff --git a/test/test_hirros.py b/test/test_hirros.py new file mode 100644 index 0000000..a660aa1 --- /dev/null +++ b/test/test_hirros.py @@ -0,0 +1,36 @@ +""" +Tests for the measurements module +""" +import rsml +from rsml import hirros + +def get_mtg(): + fn = 'data/61_graph_expertized.rsml' + g = rsml.rsml2mtg(fn) + return g + +def test_hirros_read(): + g = get_mtg() + + assert(len(g) == 95) + assert(g.max_scale() == 2) + assert(g.nb_vertices(scale=1) == 5) + +def test_observations(): + g = get_mtg() + obs = hirros.times(g) + assert(len(obs) == 18) + assert(max(obs) <= 102) + assert(min(obs)>= 0) + + plant_ids = g.vertices(scale=1) + prims = hirros.primaries(g, plant_ids, obs) + + + +def test1(): + "Returns secondary dataframe" + + + + From a0a3889946780397f0bf847cfd3920d282405938 Mon Sep 17 00:00:00 2001 From: pradal Date: Fri, 1 Mar 2024 10:30:23 +0100 Subject: [PATCH 6/7] Remove unused print --- src/rsml/hirros.py | 4 ++-- src/rsml/io.py | 16 ++++++++-------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/src/rsml/hirros.py b/src/rsml/hirros.py index cf7272d..3b5b04d 100644 --- a/src/rsml/hirros.py +++ b/src/rsml/hirros.py @@ -116,7 +116,7 @@ def write_xls(xls_file, obs, primaries, secondaries): dfp = pd.DataFrame(data, index = index) - print(dfp) + #print(dfp) dfs= [] @@ -144,7 +144,7 @@ def write_xls(xls_file, obs, primaries, secondaries): df = pd.DataFrame(data, index = index) dfs.append(df) - print(dfp) + #print(dfp) if xls_file: with pd.ExcelWriter(xls_file, engine="xlsxwriter") as writer: diff --git a/src/rsml/io.py b/src/rsml/io.py index 47c53ca..2bc1d8c 100644 --- a/src/rsml/io.py +++ b/src/rsml/io.py @@ -83,13 +83,13 @@ def rsml(self, elts, **properties): def metadata(self, elts, **properties): """ Parse image information """ - print('metadata') + #print('metadata') meta = self._metadata = dict() gprop = self._g.graph_properties() - print([elt.tag for elt in elts]) + #print([elt.tag for elt in elts]) for elt in elts: elt_tag = elt.tag - print(elt_tag) + #print(elt_tag) if elt_tag=='last-modified': meta[elt_tag] = str2datetime(elt.text) elif elt_tag in ['version','resolution']: @@ -97,7 +97,7 @@ def metadata(self, elts, **properties): elif elt_tag in ['user','file-key','software','unit']: meta[elt_tag] = elt.text elif elt_tag in ["property-definitions","time-sequence","image",'private']: - print(elt_tag) + #print(elt_tag) self.dispatch(elt) elif elt_tag=='mtg_graph_properties': gprop.update(read_xml_tree(elt)) @@ -110,7 +110,7 @@ def property_definitions(self, elts, **properties): """ A plant with parameters and a recursive structure. """ - print('property-definitions') + #print('property-definitions') self._propdef = {} for elt in elts: self.dispatch(elt) @@ -422,7 +422,7 @@ def metadata(self): self.image(gmetadata) self.property_definitions(gmetadata) - print('TODO: time-sequence') + # print('TODO: time-sequence') def image(self,metadata): """ dump image element of metadata """ @@ -436,12 +436,12 @@ def image(self,metadata): def property_definitions(self, metadata): """ dump property definitions of metadata """ - print('property definitions') + #print('property definitions') gproperties = metadata.get('property-definitions') if gproperties is None: return - print('property definitions : inside') + #print('property definitions : inside') pdefs = self.SubElement(self.xml_meta, 'property-definitions') for label,prop in gproperties.items(): pdef = self.SubElement(pdefs, tag='property-definition') From 14586cdb07179bbf7b735ce0cb54b1f9aaccdd47 Mon Sep 17 00:00:00 2001 From: pradal Date: Fri, 1 Mar 2024 13:27:17 +0100 Subject: [PATCH 7/7] Add tests --- test/test_hirros.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/test_hirros.py b/test/test_hirros.py index a660aa1..12f2c4a 100644 --- a/test/test_hirros.py +++ b/test/test_hirros.py @@ -25,7 +25,7 @@ def test_observations(): plant_ids = g.vertices(scale=1) prims = hirros.primaries(g, plant_ids, obs) - + def test1():