From 97553e392bf96a0b3655689f96074950242e53b5 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Fri, 26 May 2023 15:23:53 +0100 Subject: [PATCH 01/25] Matching updates to cosmosis interactive branch --- examples/example.ipynb | 502 +++++++++++++++++++++++++++++++++++++++++ examples/pantheon.ini | 1 - 2 files changed, 502 insertions(+), 1 deletion(-) create mode 100644 examples/example.ipynb diff --git a/examples/example.ipynb b/examples/example.ipynb new file mode 100644 index 00000000..a2246621 --- /dev/null +++ b/examples/example.ipynb @@ -0,0 +1,502 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "946e5768", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import cosmosis\n", + "import os\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "db8c289b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Switching to directory above to run examples\n" + ] + } + ], + "source": [ + "dirname = os.getcwd()\n", + "if os.getcwd().endswith(\"cosmosis-standard-library\" + os.path.sep + \"examples\"):\n", + " print(\"Switching to directory above to run examples\")\n", + " os.chdir(os.path.pardir)" + ] + }, + { + "cell_type": "markdown", + "id": "286643db", + "metadata": {}, + "source": [ + "Basic usage\n", + "==========\n", + "\n", + "The usual way to run CosmoSIS is by writing several parameter files. Let's run an example analysis: an example of fitting Supernova data using the \"emcee\" sampling method.\n", + "\n", + "(If you get a message starting \"You told me to resume the chain ...\" then don't worry, it just means you've already run this example so the results already exist)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6d71cda9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting up pipeline from parameter file examples/pantheon.ini\n", + "-------------------------------------------------------------\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Generating starting positions in small ball around starting point\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", + "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", + "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "\n", + "Parameter Priors\n", + "----------------\n", + "cosmological_parameters--omega_m ~ U(0.15, 0.4)\n", + "cosmological_parameters--h0 ~ U(0.6, 0.8)\n", + "cosmological_parameters--w ~ delta(-1.0)\n", + "cosmological_parameters--omega_b ~ delta(0.04)\n", + "cosmological_parameters--omega_k ~ U(-0.3, 0.3)\n", + "cosmological_parameters--a_s ~ delta(2e-09)\n", + "cosmological_parameters--n_s ~ delta(1.0)\n", + "cosmological_parameters--tau ~ delta(0.08)\n", + "supernova_params--m ~ U(-21.0, -18.0)\n", + "\n", + "****************************\n", + "* Running sampler 1/1: emcee\n", + "* Running in serial mode.\n", + "* Saving output -> output/pantheon.txt\n", + "* Note: You set resume=T but the file output/pantheon.txt does not exist so I will start a new one\n", + "****************************************************\n", + "Begun sampling\n", + "Done 10 iterations of emcee. Acceptance fraction 0.738\n", + "Done 20 iterations of emcee. Acceptance fraction 0.695\n", + "Done 30 iterations of emcee. Acceptance fraction 0.664\n", + "Done 40 iterations of emcee. Acceptance fraction 0.649\n", + "Done 50 iterations of emcee. Acceptance fraction 0.638\n", + "Done 60 iterations of emcee. Acceptance fraction 0.634\n", + "Done 70 iterations of emcee. Acceptance fraction 0.633\n", + "Done 80 iterations of emcee. Acceptance fraction 0.625\n", + "Done 90 iterations of emcee. Acceptance fraction 0.615\n", + "Done 100 iterations of emcee. Acceptance fraction 0.614\n", + "Done 110 iterations of emcee. Acceptance fraction 0.609\n", + "Done 120 iterations of emcee. Acceptance fraction 0.607\n", + "Done 130 iterations of emcee. Acceptance fraction 0.606\n", + "Done 140 iterations of emcee. Acceptance fraction 0.605\n", + "Done 150 iterations of emcee. Acceptance fraction 0.597\n", + "Done 160 iterations of emcee. Acceptance fraction 0.597\n", + "Done 170 iterations of emcee. Acceptance fraction 0.595\n", + "Done 180 iterations of emcee. Acceptance fraction 0.596\n", + "Done 190 iterations of emcee. Acceptance fraction 0.595\n", + "Done 200 iterations of emcee. Acceptance fraction 0.595\n", + "Done 210 iterations of emcee. Acceptance fraction 0.594\n", + "Done 220 iterations of emcee. Acceptance fraction 0.593\n", + "Done 230 iterations of emcee. Acceptance fraction 0.592\n", + "Done 240 iterations of emcee. Acceptance fraction 0.591\n", + "Done 250 iterations of emcee. Acceptance fraction 0.593\n", + "Done 260 iterations of emcee. Acceptance fraction 0.593\n", + "Done 270 iterations of emcee. Acceptance fraction 0.591\n", + "Done 280 iterations of emcee. Acceptance fraction 0.591\n", + "Done 290 iterations of emcee. Acceptance fraction 0.591\n", + "Done 300 iterations of emcee. Acceptance fraction 0.588\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cosmosis.run_cosmosis(\"examples/pantheon.ini\")" + ] + }, + { + "cell_type": "markdown", + "id": "ba6f4aa8", + "metadata": {}, + "source": [ + "Reading the printed output\n", + "------------------------------\n", + "\n", + "The printed shows us several things:\n", + "\n", + "- Information from the setup phase of the modules (see below).\n", + "\n", + "- Priors on our parameters, uniform (U) and fixed (delta).\n", + "\n", + "- Details about the sampler and where its output will go.\n", + "\n", + "- The progress of the sampling.\n", + "\n", + "\n", + "Getting output directly\n", + "--------------------------\n", + "\n", + "By default CosmoSIS saves output to a file, but you can get the output directly in python by setting the output parameter. The simplest choice for it is `astropy`, which will give you an astropy table of the results.\n", + "\n", + "Note that in this form the chain can't resume from an existing run, so for larger or slower runs it's wiser to save to file." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7e245ee9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Generating starting positions in small ball around starting point\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting up pipeline from parameter file examples/pantheon.ini\n", + "-------------------------------------------------------------\n", + "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", + "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", + "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "\n", + "Parameter Priors\n", + "----------------\n", + "cosmological_parameters--omega_m ~ U(0.15, 0.4)\n", + "cosmological_parameters--h0 ~ U(0.6, 0.8)\n", + "cosmological_parameters--w ~ delta(-1.0)\n", + "cosmological_parameters--omega_b ~ delta(0.04)\n", + "cosmological_parameters--omega_k ~ U(-0.3, 0.3)\n", + "cosmological_parameters--a_s ~ delta(2e-09)\n", + "cosmological_parameters--n_s ~ delta(1.0)\n", + "cosmological_parameters--tau ~ delta(0.08)\n", + "supernova_params--m ~ U(-21.0, -18.0)\n", + "\n", + "****************************\n", + "* Running sampler 1/1: emcee\n", + "* Running in serial mode.\n", + "****************************************************\n", + "Begun sampling\n", + "Done 10 iterations of emcee. Acceptance fraction 0.741\n", + "Done 20 iterations of emcee. Acceptance fraction 0.684\n", + "Done 30 iterations of emcee. Acceptance fraction 0.671\n", + "Done 40 iterations of emcee. Acceptance fraction 0.642\n", + "Done 50 iterations of emcee. Acceptance fraction 0.633\n", + "Done 60 iterations of emcee. Acceptance fraction 0.627\n", + "Done 70 iterations of emcee. Acceptance fraction 0.622\n", + "Done 80 iterations of emcee. Acceptance fraction 0.618\n", + "Done 90 iterations of emcee. Acceptance fraction 0.616\n", + "Done 100 iterations of emcee. Acceptance fraction 0.613\n", + "Done 110 iterations of emcee. Acceptance fraction 0.606\n", + "Done 120 iterations of emcee. Acceptance fraction 0.607\n", + "Done 130 iterations of emcee. Acceptance fraction 0.605\n", + "Done 140 iterations of emcee. Acceptance fraction 0.602\n", + "Done 150 iterations of emcee. Acceptance fraction 0.600\n", + "Done 160 iterations of emcee. Acceptance fraction 0.600\n", + "Done 170 iterations of emcee. Acceptance fraction 0.597\n", + "Done 180 iterations of emcee. Acceptance fraction 0.598\n", + "Done 190 iterations of emcee. Acceptance fraction 0.596\n", + "Done 200 iterations of emcee. Acceptance fraction 0.595\n", + "Done 210 iterations of emcee. Acceptance fraction 0.596\n", + "Done 220 iterations of emcee. Acceptance fraction 0.595\n", + "Done 230 iterations of emcee. Acceptance fraction 0.596\n", + "Done 240 iterations of emcee. Acceptance fraction 0.595\n", + "Done 250 iterations of emcee. Acceptance fraction 0.594\n", + "Done 260 iterations of emcee. Acceptance fraction 0.595\n", + "Done 270 iterations of emcee. Acceptance fraction 0.594\n", + "Done 280 iterations of emcee. Acceptance fraction 0.593\n", + "Done 290 iterations of emcee. Acceptance fraction 0.592\n", + "Done 300 iterations of emcee. Acceptance fraction 0.590\n" + ] + } + ], + "source": [ + "status, output = cosmosis.run_cosmosis(\"examples/pantheon.ini\", output=\"astropy\")" + ] + }, + { + "cell_type": "markdown", + "id": "421dd75d", + "metadata": {}, + "source": [ + "Our table contains the cosmological parameters that were varied during the chain. The one in capital letters is a derived parameter calculated from the others.\n", + "\n", + "Now we can plot some results directly from this table:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3757a46c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(output[\"cosmological_parameters--omega_m\"], ',')\n", + "\n", + "# The plot will show the chain is not burnt in until about 3000 samples\n", + "burn = 3000\n", + "plt.axvline(burn, color='r')\n", + "chain = output[burn:]\n", + "\n", + "# A histogram shows us posterior constraints\n", + "plt.figure()\n", + "plt.hist(chain['cosmological_parameters--omega_m'], bins=25);" + ] + }, + { + "cell_type": "markdown", + "id": "51adf64d", + "metadata": {}, + "source": [ + "Customizing runs\n", + "==============\n", + "\n", + "We can modify the choices made in the analysis by changing the parameters or values\n", + "\n", + "The parameters configure the *pipeline*, *modules*, and the *sampler*. Here they read directly from `examples/pantheon.ini`\n", + "\n", + "The values defines the numerical parameters that might be varied in the sampling process. The name of the values file is set in the parameter file, in the `values` option in the `pipeline` section.\n", + "\n", + "Instead of having CosmoSIS read these from the file for us, we can also read them ourselves and modify them" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "45c7ff7b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sections in the file:\n", + " runtime\n", + " emcee\n", + " polychord\n", + " multinest\n", + " output\n", + " pipeline\n", + " maxlike\n", + " metropolis\n", + " test\n", + " astropy\n", + " camb\n", + " pantheon\n", + " riess21\n", + " consistency\n", + "\n", + "\n", + "Options in the [camb] section, for example:\n", + " file = boltzmann/camb/camb_interface.py\n", + " mode = background\n", + " feedback = 0\n", + " nz_background = 200\n", + " zmin_background = 0.0\n", + " zmax_background = 2.0\n" + ] + } + ], + "source": [ + "ini = cosmosis.Inifile(\"examples/pantheon.ini\")\n", + "\n", + "# Print a summary of the contents:\n", + "print(\"Sections in the file:\")\n", + "for section in ini.sections():\n", + " print(\" \", section)\n", + "print(\"\\n\")\n", + "print(\"Options in the [camb] section, for example:\")\n", + "for key, value in ini.items('camb'):\n", + " print(\" \", key, \"=\", value)" + ] + }, + { + "cell_type": "markdown", + "id": "fe0a68c9", + "metadata": {}, + "source": [ + "Let's change to use a different sampler, called nautilus." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "43c2f66f", + "metadata": {}, + "outputs": [], + "source": [ + "ini['runtime', 'sampler'] = 'nautilus'\n", + "ini['runtime', 'resume'] = 'False'\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cdeb48d8", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting up pipeline from pre-constructed configuration\n", + "------------------------------------------------------\n", + "Setting up pipeline from pre-constructed configuration\n", + "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", + "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", + "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "\n", + "Parameter Priors\n", + "----------------\n", + "cosmological_parameters--omega_m ~ U(0.15, 0.4)\n", + "cosmological_parameters--h0 ~ U(0.6, 0.8)\n", + "cosmological_parameters--w ~ delta(-1.0)\n", + "cosmological_parameters--omega_b ~ delta(0.04)\n", + "cosmological_parameters--omega_k ~ U(-0.3, 0.3)\n", + "cosmological_parameters--a_s ~ delta(2e-09)\n", + "cosmological_parameters--n_s ~ delta(1.0)\n", + "cosmological_parameters--tau ~ delta(0.08)\n", + "supernova_params--m ~ U(-21.0, -18.0)\n", + "\n", + "*******************************\n", + "* Running sampler 1/1: nautilus\n", + "* Running in serial mode.\n", + "****************************************************\n" + ] + } + ], + "source": [ + "status, chain2 = cosmosis.run_cosmosis(ini, output='astropy')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "fd4e6faa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " name dtype \n", + "-------------------------------- -------\n", + "cosmological_parameters--omega_m float64\n", + " cosmological_parameters--h0 float64\n", + "cosmological_parameters--omega_k float64\n", + " supernova_params--m float64\n", + " COSMOLOGICAL_PARAMETERS--OMMH2 float64\n", + " log_weight float64\n", + " prior float64\n", + " post float64\n" + ] + } + ], + "source": [ + "chain2.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e6a1afd4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(chain2['cosmological_parameters--omega_m'], weights=np.exp(chain2['log_weight']), bins=20);\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/pantheon.ini b/examples/pantheon.ini index b6f89d3e..da431137 100644 --- a/examples/pantheon.ini +++ b/examples/pantheon.ini @@ -42,7 +42,6 @@ multinest_outfile_root=output/mn [output] filename = output/pantheon.txt format = text -verbosity = debug [pipeline] ; We use two likelihoods, the JLA (for high redshift) and From 42f7652d3925649db772b27f7e4c3aa7e8f11ae1 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 22 Jun 2023 12:29:03 +0100 Subject: [PATCH 02/25] Work on example notebook --- examples/example.ipynb | 677 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 602 insertions(+), 75 deletions(-) diff --git a/examples/example.ipynb b/examples/example.ipynb index a2246621..1518c8af 100644 --- a/examples/example.ipynb +++ b/examples/example.ipynb @@ -40,12 +40,16 @@ "id": "286643db", "metadata": {}, "source": [ + "---\n", + "\n", "Basic usage\n", "==========\n", "\n", "The usual way to run CosmoSIS is by writing several parameter files. Let's run an example analysis: an example of fitting Supernova data using the \"emcee\" sampling method.\n", "\n", - "(If you get a message starting \"You told me to resume the chain ...\" then don't worry, it just means you've already run this example so the results already exist)." + "(If you get a message starting \"You told me to resume the chain ...\" then don't worry, it just means you've already run this example so the results already exist).\n", + "\n", + "This is equivalent to running on the command line: `cosmosis examples/pantheon.ini`." ] }, { @@ -54,6 +58,13 @@ "id": "6d71cda9", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -66,7 +77,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:root:Generating starting positions in small ball around starting point\n" + "Setup all pipeline modules\n", + "\n" ] }, { @@ -94,39 +106,17 @@ "* Running sampler 1/1: emcee\n", "* Running in serial mode.\n", "* Saving output -> output/pantheon.txt\n", - "* Note: You set resume=T but the file output/pantheon.txt does not exist so I will start a new one\n", + "* Note: You set resume=T so I will resume from file output/pantheon.txt\n", "****************************************************\n", - "Begun sampling\n", - "Done 10 iterations of emcee. Acceptance fraction 0.738\n", - "Done 20 iterations of emcee. Acceptance fraction 0.695\n", - "Done 30 iterations of emcee. Acceptance fraction 0.664\n", - "Done 40 iterations of emcee. Acceptance fraction 0.649\n", - "Done 50 iterations of emcee. Acceptance fraction 0.638\n", - "Done 60 iterations of emcee. Acceptance fraction 0.634\n", - "Done 70 iterations of emcee. Acceptance fraction 0.633\n", - "Done 80 iterations of emcee. Acceptance fraction 0.625\n", - "Done 90 iterations of emcee. Acceptance fraction 0.615\n", - "Done 100 iterations of emcee. Acceptance fraction 0.614\n", - "Done 110 iterations of emcee. Acceptance fraction 0.609\n", - "Done 120 iterations of emcee. Acceptance fraction 0.607\n", - "Done 130 iterations of emcee. Acceptance fraction 0.606\n", - "Done 140 iterations of emcee. Acceptance fraction 0.605\n", - "Done 150 iterations of emcee. Acceptance fraction 0.597\n", - "Done 160 iterations of emcee. Acceptance fraction 0.597\n", - "Done 170 iterations of emcee. Acceptance fraction 0.595\n", - "Done 180 iterations of emcee. Acceptance fraction 0.596\n", - "Done 190 iterations of emcee. Acceptance fraction 0.595\n", - "Done 200 iterations of emcee. Acceptance fraction 0.595\n", - "Done 210 iterations of emcee. Acceptance fraction 0.594\n", - "Done 220 iterations of emcee. Acceptance fraction 0.593\n", - "Done 230 iterations of emcee. Acceptance fraction 0.592\n", - "Done 240 iterations of emcee. Acceptance fraction 0.591\n", - "Done 250 iterations of emcee. Acceptance fraction 0.593\n", - "Done 260 iterations of emcee. Acceptance fraction 0.593\n", - "Done 270 iterations of emcee. Acceptance fraction 0.591\n", - "Done 280 iterations of emcee. Acceptance fraction 0.591\n", - "Done 290 iterations of emcee. Acceptance fraction 0.591\n", - "Done 300 iterations of emcee. Acceptance fraction 0.588\n" + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "Generating starting positions in small ball around starting point\n", + "You told me to resume the chain - it has already completed (with 9600 samples), so sampling will end.\n", + "Increase the 'samples' parameter to keep going.\n" ] }, { @@ -162,6 +152,8 @@ "\n", "- The progress of the sampling.\n", "\n", + "---\n", + "\n", "\n", "Getting output directly\n", "--------------------------\n", @@ -181,7 +173,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:root:Generating starting positions in small ball around starting point\n" + "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n", + "Setup all pipeline modules\n", + "\n" ] }, { @@ -211,37 +205,53 @@ "* Running sampler 1/1: emcee\n", "* Running in serial mode.\n", "****************************************************\n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "OUTPUT XXX \n", + "Generating starting positions in small ball around starting point\n", "Begun sampling\n", - "Done 10 iterations of emcee. Acceptance fraction 0.741\n", - "Done 20 iterations of emcee. Acceptance fraction 0.684\n", - "Done 30 iterations of emcee. Acceptance fraction 0.671\n", - "Done 40 iterations of emcee. Acceptance fraction 0.642\n", + "Using likelihooods from first run:\n", + " - pantheon\n", + " - riess21\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Done 10 iterations of emcee. Acceptance fraction 0.697\n", + "Done 20 iterations of emcee. Acceptance fraction 0.678\n", + "Done 30 iterations of emcee. Acceptance fraction 0.655\n", + "Done 40 iterations of emcee. Acceptance fraction 0.640\n", "Done 50 iterations of emcee. Acceptance fraction 0.633\n", - "Done 60 iterations of emcee. Acceptance fraction 0.627\n", - "Done 70 iterations of emcee. Acceptance fraction 0.622\n", - "Done 80 iterations of emcee. Acceptance fraction 0.618\n", - "Done 90 iterations of emcee. Acceptance fraction 0.616\n", - "Done 100 iterations of emcee. Acceptance fraction 0.613\n", - "Done 110 iterations of emcee. Acceptance fraction 0.606\n", - "Done 120 iterations of emcee. Acceptance fraction 0.607\n", - "Done 130 iterations of emcee. Acceptance fraction 0.605\n", - "Done 140 iterations of emcee. Acceptance fraction 0.602\n", - "Done 150 iterations of emcee. Acceptance fraction 0.600\n", - "Done 160 iterations of emcee. Acceptance fraction 0.600\n", + "Done 60 iterations of emcee. Acceptance fraction 0.622\n", + "Done 70 iterations of emcee. Acceptance fraction 0.618\n", + "Done 80 iterations of emcee. Acceptance fraction 0.616\n", + "Done 90 iterations of emcee. Acceptance fraction 0.617\n", + "Done 100 iterations of emcee. Acceptance fraction 0.615\n", + "Done 110 iterations of emcee. Acceptance fraction 0.611\n", + "Done 120 iterations of emcee. Acceptance fraction 0.611\n", + "Done 130 iterations of emcee. Acceptance fraction 0.609\n", + "Done 140 iterations of emcee. Acceptance fraction 0.605\n", + "Done 150 iterations of emcee. Acceptance fraction 0.603\n", + "Done 160 iterations of emcee. Acceptance fraction 0.598\n", "Done 170 iterations of emcee. Acceptance fraction 0.597\n", - "Done 180 iterations of emcee. Acceptance fraction 0.598\n", - "Done 190 iterations of emcee. Acceptance fraction 0.596\n", - "Done 200 iterations of emcee. Acceptance fraction 0.595\n", - "Done 210 iterations of emcee. Acceptance fraction 0.596\n", - "Done 220 iterations of emcee. Acceptance fraction 0.595\n", - "Done 230 iterations of emcee. Acceptance fraction 0.596\n", - "Done 240 iterations of emcee. Acceptance fraction 0.595\n", - "Done 250 iterations of emcee. Acceptance fraction 0.594\n", - "Done 260 iterations of emcee. Acceptance fraction 0.595\n", - "Done 270 iterations of emcee. Acceptance fraction 0.594\n", - "Done 280 iterations of emcee. Acceptance fraction 0.593\n", - "Done 290 iterations of emcee. Acceptance fraction 0.592\n", - "Done 300 iterations of emcee. Acceptance fraction 0.590\n" + "Done 180 iterations of emcee. Acceptance fraction 0.595\n", + "Done 190 iterations of emcee. Acceptance fraction 0.595\n", + "Done 200 iterations of emcee. Acceptance fraction 0.593\n", + "Done 210 iterations of emcee. Acceptance fraction 0.594\n", + "Done 220 iterations of emcee. Acceptance fraction 0.591\n", + "Done 230 iterations of emcee. Acceptance fraction 0.590\n", + "Done 240 iterations of emcee. Acceptance fraction 0.589\n", + "Done 250 iterations of emcee. Acceptance fraction 0.589\n", + "Done 260 iterations of emcee. Acceptance fraction 0.588\n", + "Done 270 iterations of emcee. Acceptance fraction 0.588\n", + "Done 280 iterations of emcee. Acceptance fraction 0.586\n", + "Done 290 iterations of emcee. Acceptance fraction 0.586\n", + "Done 300 iterations of emcee. Acceptance fraction 0.586\n" ] } ], @@ -267,7 +277,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -304,6 +314,8 @@ "id": "51adf64d", "metadata": {}, "source": [ + "---\n", + "\n", "Customizing runs\n", "==============\n", "\n", @@ -371,28 +383,38 @@ "id": "fe0a68c9", "metadata": {}, "source": [ - "Let's change to use a different sampler, called nautilus." + "Let's change to use a different sampler, called nautilus. You can override any of the values in the file easily enough, or add new ones:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "id": "43c2f66f", "metadata": {}, "outputs": [], "source": [ "ini['runtime', 'sampler'] = 'nautilus'\n", - "ini['runtime', 'resume'] = 'False'\n" + "ini['runtime', 'resume'] = 'False'\n", + "ini['runtime', 'verbosity'] = 'quiet'" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "id": "cdeb48d8", "metadata": { "scrolled": true }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n", + "Setup all pipeline modules\n", + "\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -420,7 +442,10 @@ "*******************************\n", "* Running sampler 1/1: nautilus\n", "* Running in serial mode.\n", - "****************************************************\n" + "****************************************************\n", + "Using likelihooods from first run:\n", + " - pantheon\n", + " - riess21\n" ] } ], @@ -428,9 +453,17 @@ "status, chain2 = cosmosis.run_cosmosis(ini, output='astropy')" ] }, + { + "cell_type": "markdown", + "id": "60ce9667", + "metadata": {}, + "source": [ + "We can now do some much nicer looking plots and results, but note the weights for this." + ] + }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "id": "fd4e6faa", "metadata": {}, "outputs": [ @@ -438,7 +471,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "
\n", + "
\n", " name dtype \n", "-------------------------------- -------\n", "cosmological_parameters--omega_m float64\n", @@ -458,13 +491,13 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "id": "e6a1afd4", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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kKBQKRW0ul2t0owIAAFNKot0dnnvuOS1fvlwrVqyQJG3ZskX79u3Ttm3bVFNTE1Pf0NCgGTNmaMuWLZKk/Px8HTx4UJs3b9aSJUsidQ6HQ5mZmaMcBgAAmMpsrbAMDg7q0KFD8nq9Ue1er1cdHR1x9wkEAjH1xcXFOnjwoIaGhiJtH3zwgXJycnTLLbfoG9/4hoLB4AX7MjAwoP7+/qgNAABMTbYCS29vr4aHh5WRkRHVnpGRoXA4HHefcDgct/7MmTPq7e2VJM2aNUsvvPCC9u7dq927d8vlcmn+/Pl6++23R+xLTU2NUlNTI1t2dradoQAAgElkVDfdOhyOqNeWZcW0Xaz+k+133XWXHn30UX3pS1+Sx+PRT37yE33+85/X888/P+IxKysr1dfXF9mOHz8+mqEAAIBJwNY9LOnp6UpISIhZTTl58mTMKsp5mZmZcesTExOVlpYWd59p06bpy1/+8gVXWJxOp5xOp53uAwCAScrWCktycrLcbrfa2tqi2tva2jRv3ry4+xQVFcXUt7a2qrCwUElJSXH3sSxLnZ2dmj59up3uAQCAKcr2JaHy8nLt3LlTTU1N6urqUllZmXp6euTz+SSdu1SzbNmySL3P59OxY8dUXl6urq4uNTU1qbGxUatXr47UbNiwQfv27dO7776rzs5OLV++XJ2dnZFjAgCAq5vtrzWXlJTo1KlTqq6uVigUUkFBgfx+v3JyciRJoVAo6pksubm58vv9KisrU11dnbKyslRbWxv1leb3339f3/rWtxQOh5Wamqo77rhD//7v/64777xzDIYIAAAmO4d1/g7YSa6/v1+pqanq6+tTSkrKRHcHMNrMipcnugsAxsnRTYsmugu2XOrnt+0VFgAAYK7x+j8kEx2E+PFDAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYLzEie4AgPhmVrw80V0AAGOwwgIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8UYVWOrr65WbmyuXyyW326329vYL1u/fv19ut1sul0t5eXlqaGgYsfall16Sw+HQ4sWLR9M1AAAwBdkOLM3NzSotLVVVVZWCwaA8Ho8WLFignp6euPXd3d1auHChPB6PgsGg1q5dq5UrV6qlpSWm9tixY1q9erU8Ho/9kQAAgCnLdmB57rnntHz5cq1YsUL5+fnasmWLsrOztW3btrj1DQ0NmjFjhrZs2aL8/HytWLFCf/M3f6PNmzdH1Q0PD+uv/uqvtGHDBuXl5Y1uNAAAYEqyFVgGBwd16NAheb3eqHav16uOjo64+wQCgZj64uJiHTx4UENDQ5G26upq3XTTTVq+fPkl9WVgYED9/f1RGwAAmJpsBZbe3l4NDw8rIyMjqj0jI0PhcDjuPuFwOG79mTNn1NvbK0l67bXX1NjYqB07dlxyX2pqapSamhrZsrOz7QwFAABMIqO66dbhcES9tiwrpu1i9efbT58+rUcffVQ7duxQenr6JfehsrJSfX19ke348eM2RgAAACaTRDvF6enpSkhIiFlNOXnyZMwqynmZmZlx6xMTE5WWlqY333xTR48e1X333Rd5/+zZs+c6l5iot956S7feemvMcZ1Op5xOp53uAwCAScrWCktycrLcbrfa2tqi2tva2jRv3ry4+xQVFcXUt7a2qrCwUElJSZo1a5Z+97vfqbOzM7J985vf1J/92Z+ps7OTSz0AAMDeCosklZeXa+nSpSosLFRRUZG2b9+unp4e+Xw+Secu1Zw4cUK7du2SJPl8Pm3dulXl5eV64oknFAgE1NjYqN27d0uSXC6XCgoKov7G9ddfL0kx7QAA4OpkO7CUlJTo1KlTqq6uVigUUkFBgfx+v3JyciRJoVAo6pksubm58vv9KisrU11dnbKyslRbW6slS5aM3SgAAMCU5rDO3wE7yfX39ys1NVV9fX1KSUmZ6O4Al21mxcsT3QUAiDi6adG4HPdSP7/5LSEAAGA8AgsAADAegQUAABiPwAIAAIxn+1tCAKJxcywAjD9WWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYLxRBZb6+nrl5ubK5XLJ7Xarvb39gvX79++X2+2Wy+VSXl6eGhoaot7fs2ePCgsLdf311+vaa6/V7bffrh/+8Iej6RoAAJiCbAeW5uZmlZaWqqqqSsFgUB6PRwsWLFBPT0/c+u7ubi1cuFAej0fBYFBr167VypUr1dLSEqm58cYbVVVVpUAgoP/8z//U448/rscff1z79u0b/cgAAMCU4bAsy7Kzw9y5czVnzhxt27Yt0pafn6/FixerpqYmpn7NmjXau3evurq6Im0+n0+HDx9WIBAY8e/MmTNHixYt0jPPPHNJ/erv71dqaqr6+vqUkpJiY0TA5ZlZ8fJEdwEAxt3RTYvG5biX+vlta4VlcHBQhw4dktfrjWr3er3q6OiIu08gEIipLy4u1sGDBzU0NBRTb1mW/vVf/1VvvfWWvvrVr47Yl4GBAfX390dtAABgarIVWHp7ezU8PKyMjIyo9oyMDIXD4bj7hMPhuPVnzpxRb29vpK2vr09/8id/ouTkZC1atEjPP/+87r333hH7UlNTo9TU1MiWnZ1tZygAAGASGdVNtw6HI+q1ZVkxbRer/3T7ddddp87OTv3Hf/yHnn32WZWXl+uVV14Z8ZiVlZXq6+uLbMePHx/FSAAAwGSQaKc4PT1dCQkJMaspJ0+ejFlFOS8zMzNufWJiotLS0iJt06ZN0+c+9zlJ0u23366uri7V1NToa1/7WtzjOp1OOZ1OO90HAACTlK3AkpycLLfbrba2Nj3wwAOR9ra2Nt1///1x9ykqKtIvf/nLqLbW1lYVFhYqKSlpxL9lWZYGBgbsdA8YETfGAsDkZiuwSFJ5ebmWLl2qwsJCFRUVafv27erp6ZHP55N07lLNiRMntGvXLknnvhG0detWlZeX64knnlAgEFBjY6N2794dOWZNTY0KCwt16623anBwUH6/X7t27Yr6JhIAALh62Q4sJSUlOnXqlKqrqxUKhVRQUCC/36+cnBxJUigUinomS25urvx+v8rKylRXV6esrCzV1tZqyZIlkZoPP/xQf/u3f6v//u//1jXXXKNZs2bpRz/6kUpKSsZgiAAAYLKz/RwWU/EcFlwIl4QA4PJMquewAAAATAQCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADBe4kR3ADhvZsXLE90FAIChWGEBAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHijCiz19fXKzc2Vy+WS2+1We3v7Bev3798vt9stl8ulvLw8NTQ0RL2/Y8cOeTwe3XDDDbrhhht0zz336MCBA6PpGgAAmIJsB5bm5maVlpaqqqpKwWBQHo9HCxYsUE9PT9z67u5uLVy4UB6PR8FgUGvXrtXKlSvV0tISqXnllVf08MMP69/+7d8UCAQ0Y8YMeb1enThxYvQjAwAAU4bDsizLzg5z587VnDlztG3btkhbfn6+Fi9erJqampj6NWvWaO/everq6oq0+Xw+HT58WIFAIO7fGB4e1g033KCtW7dq2bJll9Sv/v5+paamqq+vTykpKXaGBEPMrHh5orsAABjB0U2LxuW4l/r5bWuFZXBwUIcOHZLX641q93q96ujoiLtPIBCIqS8uLtbBgwc1NDQUd5+PPvpIQ0NDuvHGG0fsy8DAgPr7+6M2AAAwNdkKLL29vRoeHlZGRkZUe0ZGhsLhcNx9wuFw3PozZ86ot7c37j4VFRW6+eabdc8994zYl5qaGqWmpka27OxsO0MBAACTyKhuunU4HFGvLcuKabtYfbx2Sfrud7+r3bt3a8+ePXK5XCMes7KyUn19fZHt+PHjdoYAAAAmkUQ7xenp6UpISIhZTTl58mTMKsp5mZmZcesTExOVlpYW1b5582Zt3LhRv/71r/XFL37xgn1xOp1yOp12ug8AACYpWyssycnJcrvdamtri2pva2vTvHnz4u5TVFQUU9/a2qrCwkIlJSVF2r73ve/pmWee0a9+9SsVFhba6RYAAJjibF8SKi8v186dO9XU1KSuri6VlZWpp6dHPp9P0rlLNZ/8Zo/P59OxY8dUXl6urq4uNTU1qbGxUatXr47UfPe739W6devU1NSkmTNnKhwOKxwO64MPPhiDIQIAgMnO1iUhSSopKdGpU6dUXV2tUCikgoIC+f1+5eTkSJJCoVDUM1lyc3Pl9/tVVlamuro6ZWVlqba2VkuWLInU1NfXa3BwUH/xF38R9bfWr1+vp59+epRDAwAAU4Xt57CYiuewTH48hwUAzDWpnsMCAAAwEQgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADCe7V9rBviRQgDAlcYKCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIw3qsBSX1+v3NxcuVwuud1utbe3X7B+//79crvdcrlcysvLU0NDQ9T7b775ppYsWaKZM2fK4XBoy5Yto+kWAACYomwHlubmZpWWlqqqqkrBYFAej0cLFixQT09P3Pru7m4tXLhQHo9HwWBQa9eu1cqVK9XS0hKp+eijj5SXl6dNmzYpMzNz9KMBAABTksOyLMvODnPnztWcOXO0bdu2SFt+fr4WL16smpqamPo1a9Zo79696urqirT5fD4dPnxYgUAgpn7mzJkqLS1VaWmpnW6pv79fqamp6uvrU0pKiq19Yc/MipcnugsAgCvs6KZF43LcS/38trXCMjg4qEOHDsnr9Ua1e71edXR0xN0nEAjE1BcXF+vgwYMaGhqy8+ejDAwMqL+/P2oDAABTk63A0tvbq+HhYWVkZES1Z2RkKBwOx90nHA7HrT9z5ox6e3ttdvePampqlJqaGtmys7NHfSwAAGC2Ud1063A4ol5blhXTdrH6eO12VFZWqq+vL7IdP3581McCAABmS7RTnJ6eroSEhJjVlJMnT8asopyXmZkZtz4xMVFpaWk2u/tHTqdTTqdz1PsDAIDJw9YKS3Jystxut9ra2qLa29raNG/evLj7FBUVxdS3traqsLBQSUlJNrsLAACuRrYvCZWXl2vnzp1qampSV1eXysrK1NPTI5/PJ+ncpZply5ZF6n0+n44dO6by8nJ1dXWpqalJjY2NWr16daRmcHBQnZ2d6uzs1ODgoE6cOKHOzk698847YzBEAAAw2dm6JCRJJSUlOnXqlKqrqxUKhVRQUCC/36+cnBxJUigUinomS25urvx+v8rKylRXV6esrCzV1tZqyZIlkZr33ntPd9xxR+T15s2btXnzZt1999165ZVXLmN4Vy++egwAmEpsP4fFVDyHJRqBBQAwlibVc1gAAAAmAoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxkuc6A5c7WZWvDzRXQAAwHissAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjMdzWC4Bz0oBAGBiscICAACMR2ABAADGG1Vgqa+vV25urlwul9xut9rb2y9Yv3//frndbrlcLuXl5amhoSGmpqWlRbNnz5bT6dTs2bP185//fDRdAwAAU5DtwNLc3KzS0lJVVVUpGAzK4/FowYIF6unpiVvf3d2thQsXyuPxKBgMau3atVq5cqVaWloiNYFAQCUlJVq6dKkOHz6spUuX6sEHH9Rvf/vb0Y8MAABMGQ7Lsiw7O8ydO1dz5szRtm3bIm35+flavHixampqYurXrFmjvXv3qqurK9Lm8/l0+PBhBQIBSVJJSYn6+/v1L//yL5Gar3/967rhhhu0e/fuS+pXf3+/UlNT1dfXp5SUFDtDuihuugUAXO2Oblo0Lse91M9vW98SGhwc1KFDh1RRURHV7vV61dHREXefQCAgr9cb1VZcXKzGxkYNDQ0pKSlJgUBAZWVlMTVbtmwZsS8DAwMaGBiIvO7r65N0buBj7ezAR2N+TAAAJpPx+Hz95HEvtn5iK7D09vZqeHhYGRkZUe0ZGRkKh8Nx9wmHw3Hrz5w5o97eXk2fPn3EmpGOKUk1NTXasGFDTHt2dvalDgcAAFyi1C3je/zTp08rNTV1xPdH9RwWh8MR9dqyrJi2i9V/ut3uMSsrK1VeXh55ffbsWf3f//2f0tLSLrifXf39/crOztbx48fH/FIT/oh5vnKY6yuDeb4ymOcrYzzn2bIsnT59WllZWRessxVY0tPTlZCQELPycfLkyZgVkvMyMzPj1icmJiotLe2CNSMdU5KcTqecTmdU2/XXX3+pQ7EtJSWF/zFcAczzlcNcXxnM85XBPF8Z4zXPF1pZOc/Wt4SSk5PldrvV1tYW1d7W1qZ58+bF3aeoqCimvrW1VYWFhUpKSrpgzUjHBAAAVxfbl4TKy8u1dOlSFRYWqqioSNu3b1dPT498Pp+kc5dqTpw4oV27dkk6942grVu3qry8XE888YQCgYAaGxujvv2zatUqffWrX9V3vvMd3X///frFL36hX//613r11VfHaJgAAGAysx1YSkpKdOrUKVVXVysUCqmgoEB+v185OTmSpFAoFPVMltzcXPn9fpWVlamurk5ZWVmqra3VkiVLIjXz5s3TSy+9pHXr1umpp57SrbfequbmZs2dO3cMhnh5nE6n1q9fH3P5CWOLeb5ymOsrg3m+MpjnK8OEebb9HBYAAIArjd8SAgAAxiOwAAAA4xFYAACA8QgsAADAeFdlYKmvr1dubq5cLpfcbrfa29tHrA2FQnrkkUd02223adq0aSotLY2peeGFF+RwOGK2jz/+eBxHYT4787xnzx7de++9uummm5SSkqKioiLt27cvpq6lpUWzZ8+W0+nU7Nmz9fOf/3w8hzApjPU8cz7HZ2eeX331Vc2fP19paWm65pprNGvWLP3DP/xDTB3nc6yxnmfO55HZmetPeu2115SYmKjbb7895r1xPaetq8xLL71kJSUlWTt27LB+//vfW6tWrbKuvfZa69ixY3Hru7u7rZUrV1r/9E//ZN1+++3WqlWrYmp+8IMfWCkpKVYoFIrarmZ253nVqlXWd77zHevAgQPWkSNHrMrKSispKcl6/fXXIzUdHR1WQkKCtXHjRqurq8vauHGjlZiYaP3mN7+5UsMyznjMM+dzLLvz/Prrr1svvvii9cYbb1jd3d3WD3/4Q+szn/mM9Y//+I+RGs7nWOMxz5zP8dmd6/Pef/99Ky8vz/J6vdaXvvSlqPfG+5y+6gLLnXfeafl8vqi2WbNmWRUVFRfd9+677x4xsKSmpo5RD6eGy5nn82bPnm1t2LAh8vrBBx+0vv71r0fVFBcXWw899NDldXYSG4955nyONRbz/MADD1iPPvpo5DXnc6zxmGfO5/hGO9clJSXWunXrrPXr18cElvE+p6+qS0KDg4M6dOiQvF5vVLvX61VHR8dlHfuDDz5QTk6ObrnlFn3jG99QMBi8rONNZmMxz2fPntXp06d14403RtoCgUDMMYuLiy/7326yGq95ljifP2ks5jkYDKqjo0N33313pI3zOdp4zbPE+fxpo53rH/zgB/rDH/6g9evXx31/vM/pqyqw9Pb2anh4OOZHFTMyMmJ+fNGOWbNm6YUXXtDevXu1e/duuVwuzZ8/X2+//fbldnlSGot5/v73v68PP/xQDz74YKQtHA6P+b/dZDZe88z5HO1y5vmWW26R0+lUYWGhnnzySa1YsSLyHudztPGaZ87nWKOZ67ffflsVFRX68Y9/rMTE+A/JH+9z2vaj+acCh8MR9dqyrJg2O+666y7dddddkdfz58/XnDlz9Pzzz6u2tnbUx53sRjvPu3fv1tNPP61f/OIX+uxnPzsmx5zKxnqeOZ/jG808t7e364MPPtBvfvMbVVRU6HOf+5wefvjhyzrmVDfW88z5PLJLnevh4WE98sgj2rBhgz7/+c+PyTFH46oKLOnp6UpISIhJeydPnoxJhZdj2rRp+vKXv3zVJvjLmefm5mYtX75cP/3pT3XPPfdEvZeZmTnu/3aTyXjN86dxPo9+nnNzcyVJX/jCF/Q///M/evrppyMfpJzP0cZrnj/taj+fJftzffr0aR08eFDBYFB/93d/J+nc5WTLspSYmKjW1lb9+Z//+bif01fVJaHk5GS53W61tbVFtbe1tWnevHlj9ncsy1JnZ6emT58+ZsecTEY7z7t379Zf//Vf68UXX9SiRYti3i8qKoo5Zmtr65j+200m4zXPn8b5PDb/3bAsSwMDA5HXnM/Rxmue471/NZ/Pkv25TklJ0e9+9zt1dnZGNp/Pp9tuu02dnZ2RHyoe93N6TG7dnUTOf5WrsbHR+v3vf2+VlpZa1157rXX06FHLsiyroqLCWrp0adQ+wWDQCgaDltvtth555BErGAxab775ZuT9p59+2vrVr35l/eEPf7CCwaD1+OOPW4mJidZvf/vbKzo2k9id5xdffNFKTEy06urqor56+P7770dqXnvtNSshIcHatGmT1dXVZW3atImvgY7DPHM+x7I7z1u3brX27t1rHTlyxDpy5IjV1NRkpaSkWFVVVZEazudY4zHPnM/xjeaz8JPifUtovM/pqy6wWJZl1dXVWTk5OVZycrI1Z84ca//+/ZH3HnvsMevuu++OqpcUs+Xk5ETeLy0ttWbMmGElJydbN910k+X1eq2Ojo4rNBpz2Znnu+++O+48P/bYY1HH/OlPf2rddtttVlJSkjVr1iyrpaXlCo3GXGM9z5zP8dmZ59raWutP//RPrc985jNWSkqKdccdd1j19fXW8PBw1DE5n2ON9TxzPo/M7mfhJ8ULLJY1vue0w7Isa2zWagAAAMbHVXUPCwAAmJwILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAw3v8DHSWHuNXCwk0AAAAASUVORK5CYII=", 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" ] @@ -474,8 +507,502 @@ } ], "source": [ - "plt.hist(chain2['cosmological_parameters--omega_m'], weights=np.exp(chain2['log_weight']), bins=20);\n" + "plt.hist(chain2['cosmological_parameters--omega_m'], weights=np.exp(chain2['log_weight']), bins=20);" + ] + }, + { + "cell_type": "markdown", + "id": "15aba672", + "metadata": {}, + "source": [ + "You can also customize pipelines directly" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4d0e1e9a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading included ini file: `examples/des-y3-scale-cuts.ini'\n" + ] + }, + { + "ename": "OSError", + "evalue": "dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache) ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:38\u001b[0m, in \u001b[0;36mload_gsl\u001b[0;34m(libfile)\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 37\u001b[0m \u001b[38;5;66;03m# Try loading the CBLAS file first. Sometimes this is needed.\u001b[39;00m\n\u001b[0;32m---> 38\u001b[0m gsl \u001b[38;5;241m=\u001b[39m \u001b[43mct\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCDLL\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlibfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mct\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mRTLD_GLOBAL\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 39\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32m~/src/cosmosis/env-dev/lib/python3.11/ctypes/__init__.py:376\u001b[0m, in \u001b[0;36mCDLL.__init__\u001b[0;34m(self, name, mode, handle, use_errno, use_last_error, winmode)\u001b[0m\n\u001b[1;32m 375\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m handle \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 376\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_handle \u001b[38;5;241m=\u001b[39m \u001b[43m_dlopen\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "\u001b[0;31mOSError\u001b[0m: dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache)", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m pipe \u001b[38;5;241m=\u001b[39m \u001b[43mcosmosis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mLikelihoodPipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mexamples/des-y3.ini\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:729\u001b[0m, in \u001b[0;36mLikelihoodPipeline.__init__\u001b[0;34m(self, arg, id, override, modules, load, values, priors, only)\u001b[0m\n\u001b[1;32m 719\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, arg\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28mid\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m, override\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, modules\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, load\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, values\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, priors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 720\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mu\u001b[39m\u001b[38;5;124;03m\"\"\"Construct a :class:`LikelihoodPipeline`.\u001b[39;00m\n\u001b[1;32m 721\u001b[0m \n\u001b[1;32m 722\u001b[0m \u001b[38;5;124;03m The arguments `arg` and `load` are used in the base-class\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 727\u001b[0m \u001b[38;5;124;03m \u001b[39;00m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 729\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mload\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodules\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodules\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mid\u001b[39m:\n\u001b[1;32m 732\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mid_code \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m] \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mid\u001b[39m)\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:385\u001b[0m, in \u001b[0;36mPipeline.__init__\u001b[0;34m(self, arg, load, modules)\u001b[0m\n\u001b[1;32m 382\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m load \u001b[38;5;129;01mand\u001b[39;00m PIPELINE_INI_SECTION \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39msections():\n\u001b[1;32m 383\u001b[0m module_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(PIPELINE_INI_SECTION,\n\u001b[1;32m 384\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodules\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39msplit()\n\u001b[0;32m--> 385\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\n\u001b[1;32m 386\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mModule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_options\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mroot_directory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 387\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mmodule_list\u001b[49m\n\u001b[1;32m 388\u001b[0m \u001b[43m \u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 389\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 390\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m []\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:386\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 382\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m load \u001b[38;5;129;01mand\u001b[39;00m PIPELINE_INI_SECTION \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39msections():\n\u001b[1;32m 383\u001b[0m module_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(PIPELINE_INI_SECTION,\n\u001b[1;32m 384\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodules\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39msplit()\n\u001b[1;32m 385\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m--> 386\u001b[0m \u001b[43mmodule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mModule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_options\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mroot_directory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 387\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m module_name \u001b[38;5;129;01min\u001b[39;00m module_list\n\u001b[1;32m 388\u001b[0m ]\n\u001b[1;32m 389\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 390\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m []\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:376\u001b[0m, in \u001b[0;36mModule.from_options\u001b[0;34m(cls, module_name, options, root_directory)\u001b[0m\n\u001b[1;32m 373\u001b[0m exec_function \u001b[38;5;241m=\u001b[39m options\u001b[38;5;241m.\u001b[39mget(module_name, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfunction\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexecute\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 374\u001b[0m cleanup_function \u001b[38;5;241m=\u001b[39m options\u001b[38;5;241m.\u001b[39mget(module_name, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcleanup\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcleanup\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 376\u001b[0m m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[43m \u001b[49m\u001b[43msetup_function\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexec_function\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcleanup_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 378\u001b[0m \u001b[43m \u001b[49m\u001b[43mroot_directory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 380\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m m\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:104\u001b[0m, in \u001b[0;36mModule.__init__\u001b[0;34m(self, module_name, file_path, setup_function, execute_function, cleanup_function, rootpath)\u001b[0m\n\u001b[1;32m 101\u001b[0m filename \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(rootpath, filename)\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfilename \u001b[38;5;241m=\u001b[39m filename\n\u001b[0;32m--> 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlibrary, language \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_library\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_python \u001b[38;5;241m=\u001b[39m (language \u001b[38;5;241m==\u001b[39m MODULE_LANG_PYTHON)\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_julia \u001b[38;5;241m=\u001b[39m (language \u001b[38;5;241m==\u001b[39m MODULE_LANG_JULIA)\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:307\u001b[0m, in \u001b[0;36mModule.load_library\u001b[0;34m(filepath)\u001b[0m\n\u001b[1;32m 305\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, dirname)\n\u001b[1;32m 306\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 307\u001b[0m library \u001b[38;5;241m=\u001b[39m \u001b[38;5;28m__import__\u001b[39m(impname)\n\u001b[1;32m 308\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m 309\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SetupError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou specified a path \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m for a module. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 310\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mI looked for a python module there but \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 311\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwas unable to load it. Error was \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m 312\u001b[0m (filepath, error))\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/add_gammat_point_mass.py:8\u001b[0m\n\u001b[1;32m 6\u001b[0m path \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(current_dir, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m../../structure/projection/projection_tools\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 7\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mappend(path)\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgsl_wrappers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m GSLSpline\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcosmosis\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatablock\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m names\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcosmosis\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatablock\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m option_section\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:45\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m gsl\n\u001b[1;32m 44\u001b[0m \u001b[38;5;66;03m#global gsl library\u001b[39;00m\n\u001b[0;32m---> 45\u001b[0m gsl \u001b[38;5;241m=\u001b[39m \u001b[43mload_gsl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 46\u001b[0m c_dbl_array \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mctypeslib\u001b[38;5;241m.\u001b[39mndpointer(dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mfloat64, ndim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, flags\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mC_CONTIGUOUS\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 48\u001b[0m \u001b[38;5;66;03m#1d splines\u001b[39;00m\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:41\u001b[0m, in \u001b[0;36mload_gsl\u001b[0;34m(libfile)\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 40\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00merr\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 41\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(msg) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 42\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m gsl\n", + "\u001b[0;31mOSError\u001b[0m: dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache) ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **" + ] + } + ], + "source": [ + "pipe = cosmosis.LikelihoodPipeline(\"examples/des-y3.ini\")" ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9ef5672e", + "metadata": {}, + "outputs": [], + "source": [ + "chain2.write('tmp.txt', format='ascii.commented_header', overwrite=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "1faf6376", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "OrderedDict([('final',\n", + " {'efficiency': 0.31248168701958123,\n", + " 'neff': 10249.399334242264,\n", + " 'nsample': 32800,\n", + " 'log_z': -30.184077189355634}),\n", + " ('sampler', 'nautilus'),\n", + " ('n_varied', 4),\n", + " ('module_0', 'consistency 1.0'),\n", + " ('module_1', 'astropy'),\n", + " ('module_1_comment', 'name from ini file'),\n", + " ('module_2', 'pantheon 2018'),\n", + " ('comments',\n", + " ['CITE Scolnic et al, ApJ, 859, 28',\n", + " 'CITE Riess et al, ApJLett, 908, 1',\n", + " 'START_OF_PARAMS_INI',\n", + " '[runtime]',\n", + " 'sampler = nautilus',\n", + " 'root = /Users/jzuntz/src/cosmosis/cosmosis-standard-library',\n", + " 'resume = False',\n", + " 'verbosity = quiet',\n", + " 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START_OF_PARAMS_INI\r\n", + "# [runtime]\r\n", + "# sampler = nautilus\r\n", + "# root = /Users/jzuntz/src/cosmosis/cosmosis-standard-library\r\n", + "# resume = False\r\n", + "# verbosity = quiet\r\n", + "# \r\n", + "# [emcee]\r\n", + "# walkers = 32\r\n", + "# samples = 300\r\n", + "# nsteps = 10\r\n", + "# \r\n", + "# [polychord]\r\n", + "# live_points = 50\r\n", + "# feedback = 5\r\n", + "# base_dir = output/pantheon_pc\r\n", + "# polychord_outfile_root = pantheon_pc\r\n", + "# \r\n", + "# [multinest]\r\n", + "# max_iterations = 50000\r\n", + "# live_points = 100\r\n", + "# multinest_outfile_root = output/mn\r\n", + "# \r\n", + "# [output]\r\n", + "# filename = output/pantheon.txt\r\n", + "# format = text\r\n", + "# \r\n", + "# [pipeline]\r\n", + "# modules = consistency astropy pantheon riess21\r\n", + "# values = examples/pantheon_values.ini\r\n", + "# extra_output = cosmological_parameters/ommh2\r\n", + "# quiet = T\r\n", + "# debug = F\r\n", + "# timing = F\r\n", + "# \r\n", + "# [maxlike]\r\n", + "# output_ini = output/pantheon_maxlike.ini\r\n", + "# output_covmat = new.cov\r\n", + "# tolerance = 1e-6\r\n", + "# \r\n", + "# [metropolis]\r\n", + "# cobaya = T\r\n", + "# samples = 50000\r\n", + "# tuning_frequency = 500\r\n", + "# tuning_grace = 1000\r\n", + "# tuning_end = 10000\r\n", + "# nsteps = 1000\r\n", + "# \r\n", + "# [test]\r\n", + "# save_dir = output/pantheon\r\n", + "# \r\n", + "# [astropy]\r\n", + "# file = background/astropy_background/astropy_background.py\r\n", + "# model = lambdacdm\r\n", + "# nz = 200\r\n", + "# zmax = 2.0\r\n", + "# \r\n", + "# [camb]\r\n", + "# file = boltzmann/camb/camb_interface.py\r\n", + "# mode = background\r\n", + "# feedback = 0\r\n", + "# nz_background = 200\r\n", + "# zmin_background = 0.0\r\n", + "# zmax_background = 2.0\r\n", + "# \r\n", + "# [pantheon]\r\n", + "# file = likelihood/pantheon/pantheon.py\r\n", + "# likelihood_only = T\r\n", + "# \r\n", + "# [riess21]\r\n", + "# file = likelihood/riess21/riess21.py\r\n", + "# \r\n", + "# [consistency]\r\n", + "# file = utility/consistency/consistency_interface.py\r\n", + "# \r\n", + "# [nautilus]\r\n", + "# resume = False\r\n", + "# \r\n", + "# END_OF_PARAMS_INI\r\n", + "# START_OF_VALUES_INI\r\n", + "# [cosmological_parameters]\r\n", + "# omega_m = 0.15 0.3 0.4\r\n", + "# h0 = 0.6 0.7 0.8\r\n", + "# w = -1.0\r\n", + "# omega_b = 0.04\r\n", + "# omega_k = -0.3 0.0 0.3\r\n", + "# a_s = 2.0e-9\r\n", + "# n_s = 1.0\r\n", + "# tau = 0.08\r\n", + "# \r\n", + "# [supernova_params]\r\n", + "# m = -21.0 -19.35 -18.0\r\n", + "# \r\n", + "# END_OF_VALUES_INI\r\n", + "# START_OF_PRIORS_INI\r\n", + "# END_OF_PRIORS_INI\r\n", + "0.24839893172177116 0.6700773174163173 -0.24282423084261315 -18.595380531969113 0.111532017390074 -24312.374608363836 2.407945608651871 -24332.14437237689\r\n" + ] + } + ], + "source": [ + "!head -100 tmp.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0917c7d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "OrderedDict([('final',\n", + " {'efficiency': 0.31248168701958123,\n", + " 'neff': 10249.399334242264,\n", + " 'nsample': 32800,\n", + " 'log_z': -30.184077189355634}),\n", + " ('sampler', 'nautilus'),\n", + " ('n_varied', 4),\n", + " ('module_0', 'consistency 1.0'),\n", + " ('module_1', 'astropy'),\n", + " ('module_1_comment', 'name from ini file'),\n", + " ('module_2', 'pantheon 2018'),\n", + " ('comments',\n", + " ['CITE Scolnic et al, ApJ, 859, 28',\n", + " 'CITE Riess et al, ApJLett, 908, 1',\n", + " 'START_OF_PARAMS_INI',\n", + " '[runtime]',\n", + " 'sampler = nautilus',\n", + " 'root = /Users/jzuntz/src/cosmosis/cosmosis-standard-library',\n", + " 'resume = False',\n", + " 'verbosity = quiet',\n", + " '',\n", + " '[emcee]',\n", + " 'walkers = 32',\n", + " 'samples = 300',\n", + " 'nsteps = 10',\n", + " '',\n", + " '[polychord]',\n", + " 'live_points = 50',\n", + " 'feedback = 5',\n", + " 'base_dir = output/pantheon_pc',\n", + " 'polychord_outfile_root = pantheon_pc',\n", + " '',\n", + " '[multinest]',\n", + " 'max_iterations = 50000',\n", + " 'live_points = 100',\n", + " 'multinest_outfile_root = output/mn',\n", + " '',\n", + " '[output]',\n", + " 'filename = output/pantheon.txt',\n", + " 'format = text',\n", + " '',\n", + " '[pipeline]',\n", + " 'modules = consistency astropy pantheon riess21',\n", + " 'values = examples/pantheon_values.ini',\n", + " 'extra_output = cosmological_parameters/ommh2',\n", + " 'quiet = T',\n", + " 'debug = F',\n", + " 'timing = F',\n", + " '',\n", + " '[maxlike]',\n", + " 'output_ini = output/pantheon_maxlike.ini',\n", + " 'output_covmat = new.cov',\n", + " 'tolerance = 1e-6',\n", + " '',\n", + " '[metropolis]',\n", + " 'cobaya = T',\n", + " 'samples = 50000',\n", + " 'tuning_frequency = 500',\n", + " 'tuning_grace = 1000',\n", + " 'tuning_end = 10000',\n", + " 'nsteps = 1000',\n", + " '',\n", + " '[test]',\n", + " 'save_dir = output/pantheon',\n", + " '',\n", + " '[astropy]',\n", + " 'file = background/astropy_background/astropy_background.py',\n", + " 'model = lambdacdm',\n", + " 'nz = 200',\n", + " 'zmax = 2.0',\n", + " '',\n", + " '[camb]',\n", + " 'file = boltzmann/camb/camb_interface.py',\n", + " 'mode = background',\n", + " 'feedback = 0',\n", + " 'nz_background = 200',\n", + " 'zmin_background = 0.0',\n", + " 'zmax_background = 2.0',\n", + " '',\n", + " '[pantheon]',\n", + " 'file = likelihood/pantheon/pantheon.py',\n", + " 'likelihood_only = T',\n", + " '',\n", + " '[riess21]',\n", + " 'file = likelihood/riess21/riess21.py',\n", + " '',\n", + " '[consistency]',\n", + " 'file = utility/consistency/consistency_interface.py',\n", + " '',\n", + " '[nautilus]',\n", + " 'resume = False',\n", + " '',\n", + " 'END_OF_PARAMS_INI',\n", + " 'START_OF_VALUES_INI',\n", + " '[cosmological_parameters]',\n", + " 'omega_m = 0.15 0.3 0.4',\n", + " 'h0 = 0.6 0.7 0.8',\n", + " 'w = -1.0',\n", + " 'omega_b = 0.04',\n", + " 'omega_k = -0.3 0.0 0.3',\n", + " 'a_s = 2.0e-9',\n", + " 'n_s = 1.0',\n", + " 'tau = 0.08',\n", + " '',\n", + " '[supernova_params]',\n", + " 'm = -21.0 -19.35 -18.0',\n", + " '',\n", + " 'END_OF_VALUES_INI',\n", + " 'START_OF_PRIORS_INI',\n", + " 'END_OF_PRIORS_INI']),\n", + " ('module_3', 'Riess21 2021'),\n", + " ('timestamp', '2023-05-30T13:42:30.995580'),\n", + " ('platform', 'macOS-13.0-arm64-arm-64bit'),\n", + " ('platform_version',\n", + " 'Darwin Kernel Version 22.1.0: Sun Oct 9 20:19:12 PDT 2022; root:xnu-8792.41.9~3/RELEASE_ARM64_T6020'),\n", + " ('uuid', '6d7c173eadf14055ac67bd68e3c56507'),\n", + " ('cosmosis_git_version', ''),\n", + " ('csl_git_version', ''),\n", + " ('cwd_git_version', '97553e392bf96a0b3655689f96074950242e53b5'),\n", + " ('n_live', '1500'),\n", + " ('n_update', '1500'),\n", + " ('enlarge_per_dim', '1.1'),\n", + " ('n_points_min', '54'),\n", + " ('split_threshold', '100.0'),\n", + " ('n_networks', '4'),\n", + " ('n_jobs', '1'),\n", + " ('n_batch', '100'),\n", + " ('seed', '-1'),\n", + " ('resume', 'False'),\n", + " ('f_live', '0.01'),\n", + " ('n_shell', '100'),\n", + " ('n_eff', '10000.0'),\n", + " ('discard_exploration', 'False'),\n", + " ('verbose', 'False')])" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain2.meta" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0366aecc", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From f47992bd8debda29dc237c12e3bcc7e037a89933 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Fri, 30 Jun 2023 14:46:10 +0100 Subject: [PATCH 03/25] nb update --- examples/example.ipynb | 1956 ++++++++++++++++++++++++++++++---------- 1 file changed, 1467 insertions(+), 489 deletions(-) diff --git a/examples/example.ipynb b/examples/example.ipynb index 1518c8af..7c9ad36f 100644 --- a/examples/example.ipynb +++ b/examples/example.ipynb @@ -1,5 +1,41 @@ { "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "5e65bb9c-4f6a-4f51-8c8f-511214a6d04b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e230f3d2-bc07-4a45-adb5-b144fb313947", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "5085ffc9", + "metadata": { + "tags": [] + }, + "source": [ + "# Preamble" + ] + }, + { + "cell_type": "markdown", + "id": "c2b0864f", + "metadata": {}, + "source": [ + "This notebook demonstrates ways to run CosmoSIS from a jupyter notebook or other python code.\n", + "\n", + "The downside to jupyter is that it's not easy to run CosmoSIS in parallel, which is much faster for large jobs. But it can be useful for exploring." + ] + }, { "cell_type": "code", "execution_count": 1, @@ -9,9 +45,11 @@ "source": [ "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", - "import cosmosis\n", "import os\n", - "import numpy as np" + "import numpy as np\n", + "\n", + "import cosmosis\n", + "import cosmosis.postprocessing" ] }, { @@ -35,18 +73,47 @@ " os.chdir(os.path.pardir)" ] }, + { + "cell_type": "markdown", + "id": "0141b39f", + "metadata": {}, + "source": [ + "---" + ] + }, + { + "cell_type": "markdown", + "id": "3aa82333", + "metadata": { + "tags": [] + }, + "source": [ + "# Basic usage" + ] + }, { "cell_type": "markdown", "id": "286643db", "metadata": {}, "source": [ - "---\n", - "\n", - "Basic usage\n", - "==========\n", - "\n", - "The usual way to run CosmoSIS is by writing several parameter files. Let's run an example analysis: an example of fitting Supernova data using the \"emcee\" sampling method.\n", - "\n", + "The usual way to run CosmoSIS is by writing several parameter files. Let's run an example analysis: an example of fitting Supernova data using the \"emcee\" sampling method." + ] + }, + { + "cell_type": "markdown", + "id": "117d2043", + "metadata": { + "tags": [] + }, + "source": [ + "## Running Cosmosis" + ] + }, + { + "cell_type": "markdown", + "id": "ed25ae15", + "metadata": {}, + "source": [ "(If you get a message starting \"You told me to resume the chain ...\" then don't worry, it just means you've already run this example so the results already exist).\n", "\n", "This is equivalent to running on the command line: `cosmosis examples/pantheon.ini`." @@ -55,7 +122,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "6d71cda9", + "id": "c889e700", "metadata": {}, "outputs": [ { @@ -102,23 +169,25 @@ "cosmological_parameters--tau ~ delta(0.08)\n", "supernova_params--m ~ U(-21.0, -18.0)\n", "\n", - "****************************\n", + "****************************************************\n", "* Running sampler 1/1: emcee\n", "* Running in serial mode.\n", "* Saving output -> output/pantheon.txt\n", "* Note: You set resume=T so I will resume from file output/pantheon.txt\n", "****************************************************\n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", "Generating starting positions in small ball around starting point\n", "You told me to resume the chain - it has already completed (with 9600 samples), so sampling will end.\n", "Increase the 'samples' parameter to keep going.\n" ] }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Total posterior evaluations = 0 across all processes\n", + "Successful posterior evaluations = 0 across all processes\n" + ] + }, { "data": { "text/plain": [ @@ -136,13 +205,10 @@ }, { "cell_type": "markdown", - "id": "ba6f4aa8", + "id": "a4fff5ec", "metadata": {}, "source": [ - "Reading the printed output\n", - "------------------------------\n", - "\n", - "The printed shows us several things:\n", + "The printed output above shows us several things:\n", "\n", "- Information from the setup phase of the modules (see below).\n", "\n", @@ -150,14 +216,22 @@ "\n", "- Details about the sampler and where its output will go.\n", "\n", - "- The progress of the sampling.\n", - "\n", - "---\n", - "\n", - "\n", - "Getting output directly\n", - "--------------------------\n", - "\n", + "- The progress of the sampling." + ] + }, + { + "cell_type": "markdown", + "id": "76f4c981", + "metadata": {}, + "source": [ + "## Getting chain output interactively in a notebook or script" + ] + }, + { + "cell_type": "markdown", + "id": "ba6f4aa8", + "metadata": {}, + "source": [ "By default CosmoSIS saves output to a file, but you can get the output directly in python by setting the output parameter. The simplest choice for it is `astropy`, which will give you an astropy table of the results.\n", "\n", "Note that in this form the chain can't resume from an existing run, so for larger or slower runs it's wiser to save to file." @@ -201,16 +275,10 @@ "cosmological_parameters--tau ~ delta(0.08)\n", "supernova_params--m ~ U(-21.0, -18.0)\n", "\n", - "****************************\n", + "****************************************************\n", "* Running sampler 1/1: emcee\n", "* Running in serial mode.\n", "****************************************************\n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", - "OUTPUT XXX \n", "Generating starting positions in small ball around starting point\n", "Begun sampling\n", "Using likelihooods from first run:\n", @@ -222,41 +290,43 @@ "name": "stderr", "output_type": "stream", "text": [ - "Done 10 iterations of emcee. Acceptance fraction 0.697\n", - "Done 20 iterations of emcee. Acceptance fraction 0.678\n", - "Done 30 iterations of emcee. Acceptance fraction 0.655\n", - "Done 40 iterations of emcee. Acceptance fraction 0.640\n", - "Done 50 iterations of emcee. Acceptance fraction 0.633\n", - "Done 60 iterations of emcee. Acceptance fraction 0.622\n", - "Done 70 iterations of emcee. Acceptance fraction 0.618\n", - "Done 80 iterations of emcee. Acceptance fraction 0.616\n", - "Done 90 iterations of emcee. Acceptance fraction 0.617\n", - "Done 100 iterations of emcee. Acceptance fraction 0.615\n", - "Done 110 iterations of emcee. Acceptance fraction 0.611\n", - "Done 120 iterations of emcee. Acceptance fraction 0.611\n", - "Done 130 iterations of emcee. Acceptance fraction 0.609\n", - "Done 140 iterations of emcee. Acceptance fraction 0.605\n", - "Done 150 iterations of emcee. Acceptance fraction 0.603\n", - "Done 160 iterations of emcee. Acceptance fraction 0.598\n", - "Done 170 iterations of emcee. Acceptance fraction 0.597\n", - "Done 180 iterations of emcee. Acceptance fraction 0.595\n", + "Done 10 iterations of emcee. Acceptance fraction 0.709\n", + "Done 20 iterations of emcee. Acceptance fraction 0.683\n", + "Done 30 iterations of emcee. Acceptance fraction 0.650\n", + "Done 40 iterations of emcee. Acceptance fraction 0.633\n", + "Done 50 iterations of emcee. Acceptance fraction 0.632\n", + "Done 60 iterations of emcee. Acceptance fraction 0.629\n", + "Done 70 iterations of emcee. Acceptance fraction 0.622\n", + "Done 80 iterations of emcee. Acceptance fraction 0.613\n", + "Done 90 iterations of emcee. Acceptance fraction 0.615\n", + "Done 100 iterations of emcee. Acceptance fraction 0.612\n", + "Done 110 iterations of emcee. Acceptance fraction 0.612\n", + "Done 120 iterations of emcee. Acceptance fraction 0.605\n", + "Done 130 iterations of emcee. Acceptance fraction 0.600\n", + "Done 140 iterations of emcee. Acceptance fraction 0.597\n", + "Done 150 iterations of emcee. Acceptance fraction 0.599\n", + "Done 160 iterations of emcee. Acceptance fraction 0.602\n", + "Done 170 iterations of emcee. Acceptance fraction 0.602\n", + "Done 180 iterations of emcee. Acceptance fraction 0.598\n", "Done 190 iterations of emcee. Acceptance fraction 0.595\n", - "Done 200 iterations of emcee. Acceptance fraction 0.593\n", - "Done 210 iterations of emcee. Acceptance fraction 0.594\n", - "Done 220 iterations of emcee. Acceptance fraction 0.591\n", - "Done 230 iterations of emcee. Acceptance fraction 0.590\n", - "Done 240 iterations of emcee. Acceptance fraction 0.589\n", - "Done 250 iterations of emcee. Acceptance fraction 0.589\n", - "Done 260 iterations of emcee. Acceptance fraction 0.588\n", - "Done 270 iterations of emcee. Acceptance fraction 0.588\n", - "Done 280 iterations of emcee. Acceptance fraction 0.586\n", - "Done 290 iterations of emcee. Acceptance fraction 0.586\n", - "Done 300 iterations of emcee. Acceptance fraction 0.586\n" + "Done 200 iterations of emcee. Acceptance fraction 0.596\n", + "Done 210 iterations of emcee. Acceptance fraction 0.595\n", + "Done 220 iterations of emcee. Acceptance fraction 0.592\n", + "Done 230 iterations of emcee. Acceptance fraction 0.594\n", + "Done 240 iterations of emcee. Acceptance fraction 0.593\n", + "Done 250 iterations of emcee. Acceptance fraction 0.591\n", + "Done 260 iterations of emcee. Acceptance fraction 0.591\n", + "Done 270 iterations of emcee. Acceptance fraction 0.591\n", + "Done 280 iterations of emcee. Acceptance fraction 0.591\n", + "Done 290 iterations of emcee. Acceptance fraction 0.589\n", + "Done 300 iterations of emcee. Acceptance fraction 0.591\n", + "Total posterior evaluations = 8543 across all processes\n", + "Successful posterior evaluations = 8543 across all processes\n" ] } ], "source": [ - "status, output = cosmosis.run_cosmosis(\"examples/pantheon.ini\", output=\"astropy\")" + "status, chain = cosmosis.run_cosmosis(\"examples/pantheon.ini\", output=\"astropy\")" ] }, { @@ -266,28 +336,95 @@ "source": [ "Our table contains the cosmological parameters that were varied during the chain. The one in capital letters is a derived parameter calculated from the others.\n", "\n", - "Now we can plot some results directly from this table:" + "Let's look at the start of the table:" ] }, { "cell_type": "code", "execution_count": 5, + "id": "e019c520", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Table length=10\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
cosmological_parameters--omega_mcosmological_parameters--h0cosmological_parameters--omega_ksupernova_params--mCOSMOLOGICAL_PARAMETERS--OMMH2priorpost
float64float64float64float64float64float64float64
0.29965732052081530.69996428659759020.0006718507890093649-19.3466118732938560.146817104941934652.407945608651871-21.630752785736775
0.299806975135638030.7001040396277975-0.0006146049673483403-19.3466335932012150.146949089590192462.407945608651871-21.565901703732795
0.299103181904918140.70059736930686060.00021728639377481768-19.351255139380110.146810810953042962.407945608651871-21.700627223826217
0.29938695629231740.70026449937833380.0018053285690213389-19.349673616849550.146810492257672152.407945608651871-21.458655379067316
0.30006282800348530.70004146594998550.0004434176073459435-19.3465164022310140.147048205583949242.407945608651871-21.58024023448821
0.30033347687915580.6998906354294233-0.0004049030066030627-19.3505063904636680.147117423084537542.407945608651871-21.496338465017764
0.30015739511380240.7002944190462884-0.00012612145311063542-19.349825096258640.147200870499787172.407945608651871-21.464644257383704
0.300044522513596530.6999832746367084-0.0005217918408982041-19.349476931741160.14701479042049632.407945608651871-21.440359662700722
0.300074296535177860.7002710908530567-0.0011037711338269807-19.3436350634361920.147150313710611772.407945608651871-22.026422785647846
0.29993989235446550.7001684869082146-0.0007902366707532916-19.346448756510780.14704130609149152.407945608651871-21.549048742611863
" + ], + "text/plain": [ + "\n", + "cosmological_parameters--omega_m cosmological_parameters--h0 cosmological_parameters--omega_k ... prior post \n", + " float64 float64 float64 ... float64 float64 \n", + "-------------------------------- --------------------------- -------------------------------- ... ----------------- -------------------\n", + " 0.2996573205208153 0.6999642865975902 0.0006718507890093649 ... 2.407945608651871 -21.630752785736775\n", + " 0.29980697513563803 0.7001040396277975 -0.0006146049673483403 ... 2.407945608651871 -21.565901703732795\n", + " 0.29910318190491814 0.7005973693068606 0.00021728639377481768 ... 2.407945608651871 -21.700627223826217\n", + " 0.2993869562923174 0.7002644993783338 0.0018053285690213389 ... 2.407945608651871 -21.458655379067316\n", + " 0.3000628280034853 0.7000414659499855 0.0004434176073459435 ... 2.407945608651871 -21.58024023448821\n", + " 0.3003334768791558 0.6998906354294233 -0.0004049030066030627 ... 2.407945608651871 -21.496338465017764\n", + " 0.3001573951138024 0.7002944190462884 -0.00012612145311063542 ... 2.407945608651871 -21.464644257383704\n", + " 0.30004452251359653 0.6999832746367084 -0.0005217918408982041 ... 2.407945608651871 -21.440359662700722\n", + " 0.30007429653517786 0.7002710908530567 -0.0011037711338269807 ... 2.407945608651871 -22.026422785647846\n", + " 0.2999398923544655 0.7001684869082146 -0.0007902366707532916 ... 2.407945608651871 -21.549048742611863" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain[:10]" + ] + }, + { + "cell_type": "markdown", + "id": "9b708dc2", + "metadata": {}, + "source": [ + "## Plots of interactive output" + ] + }, + { + "cell_type": "markdown", + "id": "1da48ecc", + "metadata": {}, + "source": [ + "We can now make plots of this output. For example, let's look at the trace of a single parameter in the chain. Emcee chains usually require you to remove a non-representative \"burn-in\" period at the start of the chain where the sampler is moving towards its steady state. Let's have a look at that." + ] + }, + { + "cell_type": "code", + "execution_count": 6, "id": "3757a46c", "metadata": {}, "outputs": [ { "data": { - "image/png": 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5G3qz8sFXHiXjnPws8n7yvRqyfjXGJyZijDOwi0ydyGsjje2zqA9R8d8VXsZvZzLLMlW1/MSEzuwhGstAxs9bNP7biGiasszZLpcBfM+kbRJ6elzM/mXwZSF0gcm8zmovtvebuXzPBLD8aADLDzCJ8kwqx/JT85conKPqoeDaOgJrjHmyLJom/U9aOWphxFCeafEV6Q+yrK420iwTL5PA8qMBLD/xUiqLguKGZ93ZZl4e+s5TU3tGYrAwhB4/G9gqF1t7d/L8EAlT5HnR/hmdvXi6yOSnqzaHDc8aQPyYwcdSSqlwIH5iINm5+hK4ZctXHdLKpOzIHuSQFTyyfqqKCdHltax4hA7EjwYQP/ERS8MUpeu6R5z+tpcNyjgwiqTJ1B4Wk5aJrH1eeeGEUm6hxMMEjaIlVCt1TEInDYgfDSB+wkFmE28ZaOwMGy85bNzwHEJaQ4iDLUTzOKY8CHFTrKmwTVsEfSyR6fqrYwkqGxA/GkD8hI+pTinkTs2H5cd0Wlx0xiYsFxg0yo/svhrT4Zrcm5O3pJa3TJZ819b2AxPLc6pA/GgA8QOCwNOyl0lhGaJZPwuTnXQIe9pMWy18iQeQjWgZ635vKh4ugPjRAOLHPDYsCmXufLP2/DSms2xptknarFfXP9sDikgcTLlTnaH7aHtp4WWJs1D2NcnWO9tLZLphhiR2kkD8aADxEw5ZHZ3sO67J6nilOo0G8dO98EEr8SxCxoyefM90+DLvmERVaPsU5S6El29BYYMQLHa679XeFeknTdXlPMuga6IRP8uXL+dx48ZxW1sbT5kyhTdt2pTp9qmnnuJp06bx8OHDeciQITxhwgRetmxZk5tVq1YxEfX7e/PNN4XjBPHjjzJacZSx/MOmLpelRPYu2Ch71dmsibi4qMe+2ovoQCgjmG3F0aSVOCv+tupv0n/Vd025j6FvjkL8rF27lgcPHswrV67knTt38oIFC7i9vZ337NmT6n7btm28evVqfv755/mll17ie++9l4cOHcrf+ta36m5WrVrFHR0dfODAgaY/GSB+gA7GOngD4qexU47BYtEYBxPvhJCWEFC2Pub44xqV5btQyt6GlUwmP1yRNYFwGYcoxM8FF1zA8+bNa3rW3d3NixYtEvbjk5/8JF9xxRX1/69atYo7Oztlo9IExE+1CK2jrKMhfmztLRC14JQB02lRqWeu8tP30mKa/3lWFpn3beKjPaiKijK20TSCFz9Hjx7llpYWXr9+fdPz+fPn86WXXirkx7Zt23jEiBG8cuXK+rNVq1ZxS0sLjx07ls866yyeNWsWb9u2LdefI0eOcG9vb/1v3759ED8gE2cdh6XTXlkWkjy3vpbFkm5klzJk42/D5G9jBhyaP6EiavUUKR+VOir6XfJ7nTgUvasqdG1Yr2wQvPjZv38/ExE//fTTTc9vu+02Pvvss3PfPeuss7i1tZUHDhzIN998c9N3W7Zs4XvvvZd37NjBmzZt4j/5kz/hU045hXft2pXp3w033JC6Twjipxq4brzCeyIkxI+JAVY3H0zNRmOfmYYcd5WBT3bZNDaKhEiIy2jM4VnrQgkzGvGzefPmpue33norT5gwIffdX/7yl/yTn/yE77rrLh4+fDivXr060+3x48f53HPP5WuuuSbTDSw/QBcTjbxfBytp+dGdNZoQPyEOEraRSbeo8LWxVOISk3XNxtJjDMi0pRjEqavJTfDix8SyFzPzLbfcUmgp+uIXv8gzZ84U9hN7fsyismavE46rTkDYgiPpZx2FZS+XA6oOLuIiOmiofi8jYkzlv0yaTLQHXyLFtJ86QiIkC4vNPk6lrpp2Z4LgxQ/zyQ3PX/rSl5qeTZw4UWrD880338xdXV2Z3584cYLPP/98vuqqq4T9hPjxi+2G4tP8m2ViTyUhfmQG05CEjgmyBGUVLU266Ir0UPI6bUlOVhyGUH9CiIMpQkhDFOKndtT97rvv5p07d3JPTw+3t7fz7t27mZl50aJFPGfOnLr7b37zm/zwww/zrl27eNeuXfztb3+bOzo6ePHixXU3N954Iz/++OP8i1/8grdv385XXXUVDxo0iJ955hnheEH82MG2xad0RPyr7qYHllAtWLLkDbwhDcZp1tpY8t2ktUikPJICzFW4IJ0oxA/zyUsOu7q6uLW1ladMmcIbN26sfzd37lyePn16/f933HEHn3POOTx06FDu6Ojg8847j1esWMHHjx+vu+np6eGxY8dya2srn3HGGTxjxox++4qKgPixj8k9Aarvh2ymZ+Z+NzyLWI9cLvnFjus0+AjPZb3QXe7zLbCy2pWJZUOX6fKdj76JRvyECMSPeXw3xtBmUkLxidjyU0bylt1iwcWkwtS7vvM2zfqV9txGmHlhm94HlfX/WIH40QDixw4uOo3Q/NJCUPxk7X1IfrY1IzTtp2pHr2NNVB2Yg6krFggtbToCwLQlWNW6FTsxpBPiRwOIn+pRJBxqn3XDSPqZS8qG5zS/XKI78zc5YMRmScgi1HjFTF79EhHBJsqkqI6HPhkMxQ9ZfIzfA5iZqQT09fVRZ2cn9fb2UkdHh+/oWGXcokdp99JZvqMB0njjDaJTTz35+fBhovZ2v/GJhHGLHiUislqv89pNY/hZn22FbZpk/EPpK2rxImrO28ZnLuIQSn6YICs9ybwOHS/jtzOZZRlYfgCzW9N26oxT87e9XJrjbS6niSxnhZBOGxuMZdIe814kZrv7WUyHndcvuG57oBlYfjSokuWnzNiYdbugPgOTtPzElEYRdNJTy0MRP0LKt8Z4m4hPqGlLkmdxCM3qFAtpbUC0PqhYNkX8kWmXqsDyowEsP8WYsIrIvh/jJtNknKXiLvnbXnnfqeZ1kV+h4ntjt41N4CL5rhquiP8uy1umjtnYnyeCTJsqstC5inea/66s2q7AhmcNIH7iw8TmV5+DuuyyV2hLHHkDj+gApvO+C9IGKpvLor7SXZT/WenWja8p4Sbqj0uB1Pi5cVnMVp0x6W/esl4obbMRiB8NIH6AKCY6/8yO2/M9PyIWBhOdn0we6gqOvHdC7cxF8WGZMeGHiYlL7bmsdc6UeA3BGuraipQWduP/fQkkiB8NIH7iwIWp1utgWGD5MdFhmxp4YkBnsMtyb8P6oyuog6i7AuikM1ShasOSE6KoNWnxMw3EjwYQP82EXNF1EUlX3uBmKj9SO7mALT82/LSZv3nILOP4XIoKoe3F3g/YirfNZSYXYcqEE3rZQ/xoAPFjlpAaiw2xYi19Af68RUhlKYvNTty09Uc3HqH6VwZsWvoa/TeF7TJU6QdtthOIHw0gfsxhYh09NGx3VnUKxI/u3hdVXHSmafsXQrY6uNgDI2OhAv3xYUVUed8GpupKDHUN4keDqokflzMD1Q4hbTBs/LeUeLL85A2+tX8rkf8GcLFkapoQll1CzRtfhCikZN9x1WdA/GhQNfGjS1anrmvaFGkwISwxmLai1NLdvfBBoaPuIs9l3YByIiLATFoJbA94WdYwl9TCbfxT9SfP/zw3NrCVt7bLCeJHA4ifeChaCpBtaCZmvcYadoB7fmImq57kCVBRP01jw1+bA2gyP22F4VvoiGKz7phOd8j5qALEjwZVFj8hNgRdQSPrv44fRc9E32XmKMVPiPVHB5EZvWy9dJVHRZMBFyKlDPhOS5q1znecQgbiR4Mqix9TxLo/JKiZvKD4iSFfbSBTr1wKjjLQmI4862pZ0pskmbZY0plWPibKyYRFXMWdChA/GkD8yGFyLVjXvatG7sQ/x5afPKGqszSU9CMmMZxFGdLQSOiixkV8dNMdWp7lYSKuuuLKVn5B/GgA8ZOOymAn2ziS7n1ZjoLoyBLip2wDbpKypiuNKqVVB1ODtGl0l6JMCk3TQkY3Hr6tPxA/GkD8FKMqUMrW6dsQJDW/Gk97dS98UMkf3SWhon0uvrA9eBTlie/0qxDS8qAssea5K4raadoynorgMdG/257EQfxoAPFjFtEG4dvakxanZHzS/m8NjWWv0AeKUJdYbO2Z8IFKGxKxaOhaPUTCdYVMPTQxmVCJW1FcRPtLWTdFeRNqu4D40aDK4ie0jj9vGcxXfGTcacW9QfyoWH5MoSNEVQVtiJ1qFqbj6mLwjAHZ+IcyabKFiBBtfJY2aZMJS+Z5SED8aFBl8dOISuej8p4qpmZqSf9MxN+IWAv0qLuIiV3FP9/CVhQvVkBJbMUpNn91SRNUohOaECaPKqQJJpl0+BagED8aQPzEQWidivH4OBI/oeVjI747UlO4FniqYfjOZ1PWG1WLo2l0LChp1nfXaVCxHIksq9kE4keDqokf2aWZooZoaxkg9FmUK/ETah7omNlNxsFX2LYoU1pMEXpfoItK+rKWwIqsU8l/05bWVPtgH8IN4keDqokfHdIaj++4+AhXdAlOKo4p4seXoAhp1mwzLBHxFsvST5blwJRVyEY+iC4xhdzPmGgvJoRPmhsZ602s4hLiRwOIn3RkOh+ZTkqlQ/NtYchCJC3C8fV8yWFI+ZpFDHHUpUgQ5P0r4ncISyp5z1TcAHtkTRRkRKHNMoT40QDiRx/Xs2abYan4Y0Q8GBI/VRks8qwEZc4DWwOK6ARH1B/Rwa+M5RWK1aqILGth43d5z4qsjS7KFuJHA4gf/w3UtHgKwUwuPdOF+JEipnQatRBm+BvqREMlbrr5FELdcBEHG8tlsn75zmuIHw0gfsyRZhpVNXf7pmgGIzvDLURR/JTd4hFamopmuFn1JPkstHSZxkb6VK0KWRYLm3EViZOrMGxbY0TqvC0gfjQou/gxaYLNEzNFA0HZOnvdZYJ++aQgflRmfjGXQ4xxlx100tpMKLNsEVQH2RjSVkSsEz1ZZMYU230OxI8GZRQ/Iorf9KwgzzqS5S7POqSKrYZmomPTXfZSXRpJ+ysLrpd7ypR3NVStKEXfx9CubRBTXNOIadIK8aNBGcVPFrIDoKhpP/m9LYoEnKnwiwSjDRp/2NTnUfcQKBpcYw7TlvXVFCr1XbZPkY2Pq/TmfV9W4ZuH7eUyE0D8aFB28ZNmjXFdiVXC9G3qVwk/zzqU5U/9ucGj7iatejby35alUfZ73Tjk+av6vat4mHIvOjkyFa5tf0TCKWzLFsNO+78J4ali/QtBDEH8aFB28cPstiM00SBkl5jSwtXtlEXiJ2NJK3Tj8J6fEDotk5QtPS7IsvDI1mXb1tY8t7bJs3zLWJ1Ds57YEvw+LEUQPxpUQfwwyy1hZb0nG55Jdy6QFV1GMbTnR9fSF1J5xIgNYWCDrHqRZtFp/FfG/7z3ZMKRtUq4xkd561hMdd4PDYgfDcooflwocNlGZNO8HVJDVo6fYctP7J2cyEzaJTbDzCqrtOcq7blI6Kjisi0WiSjT/qr6E4p1pxFdQanivysgfjQoo/hxjY5lQeVd0SWwqBq3hPjx2dnkDdC6s9Gs/xe9E9pgk0Rk6STNvamwRZdubBN6OWURa7xrmGorRdY5Xf9VgPjRoMziJ6tzC2V2YsNqlDVbzvJHVCxZzy8Le35MxNnmkqcJbHS6IVrNTAr5kNLViA9BZgIb4jU0y2eoQPxoUGbx04isgHBlzRH104Q/Nk3y2n7niB9XnV0oSwghxUF0uUXUWhVLWer6ZSKtNi0NtfjZsrLZwHbdkZmM2pi4qgDxo0FZxI/sUkFVENmXkGchy/Mjy71oPJqeJ8RPlkXKlNlaR9zKfq+CCeuL6mAUWjvxkQem41Hkp84EStR6KxMf3fd81yGX1kufaYX40aAs4qcRkx2+6c5J1Q9ZkvEWib+J5TGVuDGztWWvImFnOgxTFAlJ34OLCDrxdGlBUGkjtc+qZW96sqZijbAlEEIsc5/YTBfEjwZlFD8miGWAEUHV4pHmj0iHKWKu74fDe36E4pPiTmVwcTkDdUmWsLQlMlWILc9VLKcmwzBJmfrPPHynEeJHg7KJHxvmV98VvBFbcdGdDWrPgCXFj6r4kolTSOXeiC2Liu26BcIhz9pl2+pmYnIQYp3y0W9A/GhQNvHDLN6ATVlEXKCzlCdrPq/9q9MxFS0l9HMTuOUHyOHSwlD717fFLc/SqdrHqLRdlXdlwzYlVlyWkymrt4vwRIH40aCM4kcXlzOfZJihLBnoIp0OTfFjex+DSlyKnqm4UUVlEM4rw7LU05gIdbJWFBdT1vesdhWScHJdNhA/GkD8ZKNS4WWtTrpxs9HQdGabyuF5svzEgO8ydk3IcTNB2gQo1DTnWW6znptKSyh5kjUxbfxL+94FED8alEn8yKxfp1Vk0c954bucheiEJ5uuIrd5Vqy0f/v5kyJ+QlrSiA2ZumuiHpnCRtmGVE9kJkchxZtZffncpL+gGYgfDcokfpjddJ62G2tonYFOfIQFKSw/zCxWf0OrH0WYaD+hiDOdOJgS7i76Hxv9pw2LkE3xrRKO6/oG8aNBbOInbzA1sZSUZ9kw2YnlWZ6y/C2TOVnE8hMLoQoVm2EHWYc03fnwK4R8ZA6rPH3kS57QUbVeuUgDxI8GsYmfLJLrryb9rH1WeT80ZPIpS6AV+Z33ORMB8SObn6Hkf1EdyioTUVEV6lJgSHHJIivffAy+eRMgExM7VTdFk8JQiWFJVheIHw1iEj8qa86q4eR1QI2DVVGnkHSb9U4o4kq0gct0zCL51Sh+uhc+aLSjKRJkIkJCVXiF1FGKkldHTQ7IsRFCekOIQ42QrZom+w3X78oA8aNBiOJHdJaSN5AViQ9RUZLlvy6mrVSN/oo8cxEXKQosP3n5H0T8FQhB8KpMKGyLblH/XQhM13Urq1+TeT8UXOad7XBCytdGfIzfA5iZqQT09fVRZ2cn9fb2UkdHh+/oSDNu0aO0e+msfs9q7F46q/7/xs+iZPmd9NdEvFURiUcyT0xhLB1vvEF06qknPx8+TNTeru9nAVllmZWftbSKpDnpVqeuhIrJOpz0l8hPXqWVl634yNSnWDCdVzJ5k5efqnkt6t5XGXoZv53JLMuEaPlJI8/SozNTSobR+G/ys46/NmbsST9lZ8y6YasskWVi8OctfKGa/yJLrK5QqVeillrVd2Qttark+RdifUsSogVUtN8W8UfUrWz8YgbLXhqEJn7yOjnRQVe0s9ZdzlJZMnCFzGBjMm7KfuXc82ODGDs9V+LWlZ+62BzsY0pv0ZJ9GbEthGMB4keDEMVP4+es/+dZfLI6iLR/k89krBlZDU+1IYpYBETfNeVW5F1ZoZX6vaDlpyydnGw6TJeZD0TblEk/dd379td3WCrYstIk/QcQP1qEIn7ShIeo8Ek+EwknL6y8d2RmG0ViSvSZS7LibN3q4PieHxvWriwRbku46KbB1hKCCX9dz+rzJlM2wrL9nm69MZUHsv1G7ILJtRUqGvGzfPlyHjduHLe1tfGUKVN406ZNmW6feuopnjZtGg8fPpyHDBnCEyZM4GXLlvVz9+CDD/LEiRO5tbWVJ06cyOvXr5eKky/xIyMeityKWmxkv3PRGZqIu2x4Ku6L/hX1K9O9hPiRKRfbg5jtTjs2ZAY71wNFWviy7zT+K/ueibB1cW1B9FnGtggpPVGIn7Vr1/LgwYN55cqVvHPnTl6wYAG3t7fznj17Ut1v27aNV69ezc8//zy/9NJLfO+99/LQoUP5W9/6Vt3N5s2buaWlhW+//XZ+4YUX+Pbbb+dBgwbxj370I+F42c48UeuNjGVF1iJhsuOQESoi8feFSjqsxjuQG55tWYRshWGSrAlAqPFVIavfSX6X9p5sOMl/XVoFfWHaqlS2+meaKI66X3jhhTRlyhS68847688mTpxIl19+OS1ZskTIj0996lPU3t5O9957LxERzZ49m/r6+uh73/te3c3MmTPptNNOozVr1gj5afuonOzRclHSjqAmj6k2fpcXv0Y3afHN8iPrWKzqkccyHXmVRuKou80j1jJlmOfOZVlW4Ti9zrUERW5l4lH0LBm2zaPsJvwXyV9fx9Zl4uDq2oDQ+ujgj7ofPXqUW1pa+i1JzZ8/ny+99FIhP7Zt28YjRozglStX1p+NGTOm31LYsmXLeOzYsZn+HDlyhHt7e+t/+/bts6Yc8yw6tv4aw01+TotfXpzz/BKduclYWHT9ScZfNB9EUZmtCrs1aPnJKtfavybzW+ddE3VHBx3rpU54rmfyee03FGTqZ2hx10WlbcqUpc26rPq9KYK3/Lz88st01lln0dNPP03Tpk2rP7/99tvpX/7lX+jnP/955rujR4+mX//61/TWW2/RjTfeSF/+8pfr37W2ttI999xDn/vc5+rPVq9eTVdddRUdPXo01b8bb7yRbrrppn7PY7b8yLyTxJSSL5qBNn72fXGW6ZmiCSZeu45e+NqfnvyPo0sOi7BxIVraBZwys9raeyqENmtNw4fFLO05UXr5FFl7QsWmdShmslYLkmOLaJrT3NisG8Fbfvbv389ExJs3b256fuutt/KECRNy3/3lL3/JP/nJT/iuu+7i4cOH8+rVq+vfDR48uOn/zMzf+c53uK2tLdM/l5afNHStOFl+5IWR5k/a+rtKWkTez5ulhDKLU7HmqFjCMklYflzli65lTiUvsupxllsTVrs0P7PinRf3NL/S/m8ivr7bhmz4ZUhzqJhuAzqEEg/mCDY8m1j2Yma+5ZZb+Oyzz67/X2XZK0kIp72yxE3js8bneWZPGXFV5JdsemTfD6kRiYhEq0je82OizPL8d+HWhAAPkVDSYquOyMYhGRfX4YmIbNWwdPtL1++WjeCXvYhObnieOnUqrVixov5s0qRJ9Md//MfCG55vueUWuvvuu2n37t1EdHLD86FDh+ixxx6ru7nsssvo937v94LZ8CxKmvmRKH95q2jpK+23lYr8cLHRtchNGX/zpxAPv+2lQohl4ipOWfXS5NKxjj+2l2VElh/Tlrll/U2imwYX/YnvpXxZQomHLsEvezG/fdT97rvv5p07d3JPTw+3t7fz7t27mZl50aJFPGfOnLr7b37zm/zwww/zrl27eNeuXfztb3+bOzo6ePHixXU3Tz/9NLe0tPDSpUv5hRde4KVLlwZ31F2EvFlx1nciywQqMx8Xpm7Ts540y1fys28KLUsNlp/uhQ+mvlvkt2xcdNBZ7imq71l+Fz2TIatuZLWZovSJLKWJxiOrrYrWA5dWFhNt2XcbTbNAhmA1y8J0fyDiV6h5EfyyV43ly5dzV1cXt7a28pQpU3jjxo317+bOncvTp0+v//+OO+7gc845h4cOHcodHR183nnn8YoVK/j48eNNfj7wwAM8YcIEHjx4MHd3d/O6deuk4hSC+JEhr6MsWs4SdZcXnmicVNNlwq9QkIq74Xt+ZJeU8tzYGExlO9Mi8RjiYGVCiJtKk2gd0K0rSX/yRGYo5WSLonyQzQOTk5ay5H004idEQhE/aZ13cgDL60RUKnWaMMryw8bsO80fl41SdWCyEkcHG55NiVRV4eIa0zNg3fSaGvBFhapIeC6tRLbj4FMIy9QN132cS0uRayB+NAhF/GSRrLyqIkfFva2GGnNjs4ai5Uenk5ed5ecJYF3Lgog/It/lTRJMoWvN8UEocTUtnkUsgbph2CKE8ogdiB8NQhc/OhRZkEQ7IlH3sgOhCCKzaNUBMwTq8UsRP74G2bQ6YlMMy8Yt7bNJf1XeS8sjXxZNm2EWiVddf0LFZnzz2nna/322w7w63vh98rMtIH40CF38ZHWgtk27RY2w6N0scZSMs664UcG1STwrDo3x6F74oLTlx5TIlOlwRfPOhmDKm+HLCnpXiIhHkbwUcWfrfVPI1AcfAtL1BCPvOxkRISM2fIomG0D8aBC6+MnDdKeWNciZHrySn23hu7OXImfZK2sAjSp9Bgg9va7iZ6JNZk2kVOIgI2hCL8MsTApU2UmEKD7c+i5PiB8NQhc/KjPtPD9E/NMZXJNx8N040iwEtixlqh1Z13WPBPOr7r4wUSa+65pp0tpSsm2KptmVaJYVAcm4uSSrryxbPaqRTJcpAe0zvyB+NAhd/BSRO6A2fJY1jWZZgFxZh0zORqPo0CyKH1nzuW4YsuG6wsWgb9P/POFjK3wX6bLlp0tLnO77aW0khDYTOhA/GsQufmQoEgZ5VqM8/4rcycbP1jum4iibT0JuPFp+bOe7jl+hDGCu0lv0nogFM6tdilo/bbcp24JHJF9CxeZEIYb0ywLxo0GVxI8MJk2ieTOarBltkbBSNf/LxtlZh+F52SurTIBfiqwBWXVVVIyrWFdVwjKF6bBcWbZ85VfZgfjRoGriR2Upy9YSUp7IcCVAfHdEtfAbT3slf95Cxh+X+M67qqLbBk1Za7ImICKCTRXdd/P6OxeIhic6KRSNt43+WzRcm+FB/GhQNfEjg+sGUyTKbMUjr2N3Rgk2PKvmWUgiKm2GLmpF0QnLJD7z03SfEeMSlk1BZdLPMlh4IX40gPjpT5F1yIS/uvFL+zdkCuNoUPzEkB8i+EqHrUGrSBjktbE8EeBj6UbEfdb/baO6lCfj1pTVSKRc86zyuuHLUGSl99EfQ/xoUDbxoztTyuu4ZGd1RY1BZECQjW8IKHUEguJHpaNWQcQsX/s3z23RQC8SD5OdalbHnffZBaoWpyL/ZMVUSNgYTENJdyjxYA4rLrJA/GhQNvHDbM9UbLORFA1Aqp25b7O5afFjJCxBtzGaxU1aHUJJv+7EwIV4yLMKqPopEqaqlSekstV9X2UiIuI2BiB+NIhJ/JhuuC5mukWdouyA7TKOaW5E/CkKIzU8g+JHVEjaoBZOMlwXYfvAhjWq8Zmp9mm67djsf1xYBGOuk6bjrSusfeYfxI8GMYkfEWw3iKR5PuSOo3HgDbWjq8fN8YZn16IIyJFsZ42fTVhTbL1riyyBGFpcTbUn3xZrU9guI4gfDWIWPz4HrVAboUxjC2qAaBA/KkfddbG9ROKiTEy8XzZCEgiiSy2u4ysjWPKsdLESc/whfjSIWfyEhK7p1HZYtfdMLlOo+JflXuVX3V1iy6KYJpBMWDdC6NBDiEONoqXQ0LDZJ/iweubVexfItKdQ60QaED8alEX8mJyRhDCoiM7AVAdKGUuEyrvSVo/EspdKZy4bRxn/05YQVf1S+U7ETxd10+SyRrIOZwkT2TyPafBKkrfcE+PgnIdKHyRrQVWxhGdNSEIE4keDsoifNFQHKtWBzsTsq2hwNLEsIjuYO+kADG14tmkVk+lQdQRZqB1tI8kBQlQQZwmdtH9l4hFSnsnmR+1z0fd5+RViPtjAdjqzyi7UfIX40aDM4scEuh2LqtVEtjNUGYxF4iHyvZGwJcSPjlVAhaw6IFNOoXaeJsS0rD8ieaL6nW2KrFS6fouEnXTrSvhk9WWu2mBsuCgXiB8Nqih+igSEbqO2VenTOrzk97Jh6go7Y2nUsPy47BhNWZfyrCA20iNS50MZYHxYMUykP5T8M4WpflAlPJUwst5zEXdfQPxoAPHjZsbianDRsTTkWblMDUiZ+WH5qLuOYFF9TyTPbMUrT9jo1kWT9TjLQmZj4hDygJbV3sqOzXSGXuYmgPjRoKzix6XQSAs3yzKT/M5X4w+uUwjwh01tWu6AeULK3xAtajqYFrwi1scQ8jD0soP40aCs4kcFkYquMjuNxZxeZPWxGWbWUXdZE3gyDbaXdkyZ6GMYJG0tx7moX6b8cV1GNpdA057ZtL6JxMO1H7FPcCB+NID40UNlcM2b+WS5z/s+z28Rt7YarJS/GZYfkTRIhyXwrs08KSojm7NsUbeifqvGKcsPF+HbQLaeylhkTYgRX+KtFmbo4l43b32lDeJHA4gfcUJpvI2dSVZnqTKoeJ3VWlj2stHhqwzOqtYnm0sAIv7pWAJVB/lQ2liVMdFXhFKOocTDFhA/GkD8iCHb4cs2ulA6fpHByoo1RuOSQxPIlF0MHb+rJQtTFjdVARZCXvvAVvpjy08ZC3rWu7bjZROIHw0gfswhIxBc4yI+MoNaPwqWvYqsJy7z20ZYvuuL7/CrhspgrRNWCPEICddpthUOxI8GED9u0ZmpmIyD7z0A/ZBc9pK1FIi6Sworl/lkq1xCFuVFuLRshGB9DaVtZi1Lho7v/HMNxI8GZRI/vjsLkc+q/seEUpwLxE9ansaYN2mYSEcZ8sKnNS8PmXhktXedJfEqEoOACSFuED8alEn8qGCqAtuYqcc+iymaZTeRIn5iTLMusgOtit95A7QNK5HreuxTYPgO26V/obVP2wKzaOndBxA/GlRd/LgkhMaSJGu2XTRgie7FyXq/33PLG55DzHubmBYbOv743NMSAnlLrKLvqn5fZmwtDccExI8GED9qZM2YG5dk8vaTxNbYZDrwollR6ncZlp/QZlq6lC09IuSJXxkR7ZKQ4pJHyPEMLT5lBOJHA4gfu+R1Tjodl+tlBFn30vHK2fPjqhN12VmHOjCEOIjGho9lPpPudN8Bb2M7/yB+NID4ke/wRTo3EzMym2vXjf+a9FfZTwHLTyiEFBdXhGxhkEV0uUlmCbds5E3Wkt+7FHihWQizcJU/ED8aQPy4J68hJ5fMbK9rB2PtMHDDswnrWVlnx7EMGmlgb4cbfNWRrP6wTNhKD8SPBlUTP76sHXkNWydOvjoJkY5SSlQo3vMTWiepKsBCR9YyWjXy0hxbfqT1T0VpcN0eqyzgG4H40aBq4scnvszDIVAYH0O/7SUqREXc2s4/V/6rCJcscatar0IVqzKEEneRpXYT/qkQWr+TpGzWJYgfDSB+xJEZWGufXTcwl0tbRjsSD8teje+kpUU3bS7Fbqj+mSK5HGzCrzKiI1LLmicmEc0jVwIL4kcDiB81VDsXG40hlJmMVmdr4VfdbWJrqdJ3GabFwcfeD1V3OtYuUF7KWsYQPxpA/ABmM51D0cbF3FmphPhxsbRnw28XoseU5S8k64joUlzSOqQb/zJYmrLCTrNuurQa+8RWu07r62wD8aMBxI8dspZRdJZQZDr10JZcCt02iJ/uhQ+mvmNSoIGw0LH2iPoRIiHFWWQvkek+zRYh5atNIH40KJv48bEEVNQhy3TcsmvKpt0W+WMtXwUtP1mCKBk3VWtH8v82LUshkWetk12Okg03GU5suB7ETVq3fCAjdGNOpwsgfjQom/gJnaLZk89G7iMe9TAj2/NTA52yPDKCx8SSnawfpuJkwsqr8k7Wv7L+Zf3fhkU26V9aHoRoYfINxI8GED/5g77OOriuuPHdaJ3OOi2IH5VBVqdsZd6rArGlNVm3TdRzk1ZXE++LLG3p+K/6bpbgAflA/GgA8WMOkYZrWjjELrDqFPy2VzDxzKBIKOr6G0L6XS/vyLwn0/ZUyXu/aJKkYo3JE2M2yiJUP1UnJlUA4kcDiB+Qh4uOJLRlL5U9CbEiYt3zkUYRoWEzbiGJThV0JkCmraSy4QNxIH40gPgJB9VOpRSdh4b4sbYUJ4mu+T5pKTC1BGMqb2SsECJWC518CqG8XaMiaJJ5LJJvqt+FgEid8xkv00D8aFB28RN6Y1WhaN0+Fpria+iGZxudnGhHGkP+61hLQq53IcShkRCsgqJtwXc8TeJb5LgG4keDsomfEFS+CWKOexa5aZI46h7S2r/rJYIQiS1trpb1XC0dxpD/tvM52c5CyBMXcYH40aBs4scnMp1dCI0zKAzu+dFdfgoF30t4sm5tWJVsEtrSSIjIiHsT+WbaYmuDkOoJxI8GED9hItsph9AQ0xCOV0L8mJydJ/2p+iw8JFzlV9rel5AGMVV0xWZee1Ddj2XDrQoi/sc+SYL40aAq4ifmCp6GjRmrSh7JhG1i2UvZ/wI3IXXaoYWbFgcf7SmrzscgYkKMo0x7MR3vkPIhZiB+NKiK+IkRUeuHiQ5KxtKS5S7tHVXLj0y8i74PoaO1FQ/bpn3QjEvxJyvITe17EU2bz0lAiGLSBxA/GlRR/FS9waShauI2lpcpy15F8Qq5HEMRXTYINV02haCJZVfb77gmFGtQcukqhrwzBcSPBlUUPyGTtS+h8Tudpak8P3Q6jyLLUaHfHu/5KRJYIsstppdkyiyeXCJj0VT136Q7W2HHKAx8xNVkmC7yHeJHA4gfu5iq9EUdeKiDZZqAS+0UcjY8h4DIEp/NsMuGavmWMS9CRccSEyIulilNTHxk8DF+D2BmphLQ19dHnZ2d1NvbSx0dHb6jEwzjFj1KRES7l87yHBP31NLeiPV8eOMNolNPPfn58GGi9vZ6XHYvnVX/N4u074vK0FQZN8ZRxb+itNlGJd6i5VIFQs8L1Xg19gNpbSvEtKZR5r7cy/itopiWL1/O48aN47a2Np4yZQpv2rQp0+26dev4Ix/5CJ9++uk8bNgwvuiii/jxxx9vcrNq1Somon5/b775pnCcqmr5SVPloc5YykZqPgssexWVmYh1TCuOIFhk6kGjO5N1AnUmm1CWH01jM00iRLHstXbtWh48eDCvXLmSd+7cyQsWLOD29nbes2dPqvsFCxbwV77yFX722Wd5165dfP311/PgwYN527ZtdTerVq3ijo4OPnDgQNOfDFUVP8B/w22MQ0g/bBoSpkznMe75iBERwZV0Z3M/UGjLx2nEEMc8fMY9CvFzwQUX8Lx585qedXd386JFi4T9mDRpEt900031/69atYo7Oztlo9IExE8zZWuErtMjEl7qZmhD4qfI6mN6Q6NpP2PClCCzFZas/ybL08X+EtFwdCxWNoWJ6/0xtvEh4oIXP0ePHuWWlhZev3590/P58+fzpZdeKuTH8ePHecyYMfyNb3yj/mzVqlXc0tLCY8eO5bPOOotnzZrVZBlK48iRI9zb21v/27dvH8QPcEJuB9cgfroXPug4ZvKkCjiHYWPDtTixWxZipCr57btu+RA/A2X2B7366qt0/PhxGjFiRNPzESNG0MGDB4X8+OpXv0pvvPEGffrTn64/6+7upnvuuYcefvhhWrNmDQ0ZMoQ+8IEP0Isvvpjpz5IlS6izs7P+N2bMGJmkAEOMW/RofSNe8nPSXdrzIr9NxdEktQ2HRRsPX7hlptFw09BNWzINLjdT1sLKqj9pn02EJ4LpOpMXjkj6iU7GP2szvIv4xRKOiD9Fbhq/V62TsunJ6z91/S4irW6VHhmltH//fiYi3rx5c9PzW2+9lSdMmFD4/urVq3no0KG8YcOGXHfHjx/nc889l6+55ppMN7D8gCCRXPZKHpnXpSoz1SJs5kPR0kYoZRBKPIrwZQFM27zseqnQVT0NvS6Uetlr7dq1fMopp/Ajj4gVwhe/+EWeOXOmcNyw5yceYhropTsObHgWxtQgobvPQnUfTvJkVugDTBam494oJETKreiZaJgyz00Qa3mHSPDih/nkhucvfelLTc8mTpyYu+F59erVPGTIEH7ooYeEwjhx4gSff/75fNVVVwnHC+IH5OFsU2sA4kc2rb5PyJnY7CrrX1nJygNXeRJT3qdZfmqfZd2arssqbk3gq/yiED+1o+53330379y5k3t6eri9vZ13797NzMyLFi3iOXPm1N2vXr2aBw0axMuXL286xv7666/X3dx44438+OOP8y9+8Qvevn07X3XVVTxo0CB+5plnhOMF8RMeMXWESZQH0gDETxIVMaSS/tgFiky6s8SFq9NRJtyHXBa2ELVymZos+TgBFmN5RiF+mE9ectjV1cWtra08ZcoU3rhxY/27uXPn8vTp0+v/nz59euoFhnPnzq276enp4bFjx3JrayufccYZPGPGjH77ioqA+LFX6XEiR4IU8SM6AFVxMGIOTzCY8LNqZWiSGJcQ8yxtVW3XMuDnLTTAz1u4Q/RKeN2fS8gLSyYONUz9/EMuGT9v4ZqYru2PmSrms6k06/pjsm3r0tjHVbFO6BLNz1uECCw/ZojphEAaWWvzMu+rhsvMwsterjZrx0ZV9jgAMYr234BiYsgrWH40gOWnmKrPSJyk36Dlp0zlVaa0lAnX5ZJmDfZRN/Ks0air7vExfktdcgjiJvYGnXWxmOiFX7LLZLYueFO56FE1HrYuqJP1N2uQUfUvBEKJs2qd9THIN14QKnpZqOglkCJ+NMYjK9ys5y7L28Yln6AZWH4AEEB431Ige35UsDUYmpjlh2IxaIwLeBuVfX3IR3nKmmfY86MB9vyIkbcfxuTtpj4uHQsCj0fdY8jbMscRp3rMk9ZHVS1/i/rSMuRHNEfdQwTiJzxCa5Si8RG9ByT1FltHP2yqk7c+jn7HSHKikDXwVvG6grKnr0bWJLGs6U87ou8CiB8NIH7eRubmUpe4ipfXE2sBnvbSPQEH3BNKmzVJmdIigmhfV9ROTVy4GOJ40AhOe2mAPT/AJqHs+TFxd5IPv11he2+Qr5NJMZYFAKJgz48GsPzEgcu7d2T9NBKOxJ6fvLX8KlpqkktLorcop71ne3YrWj4xlJ9sXtnM28ruFVTEhFUoBGD50QCWn7gpw+x23KJH6ZRjR+iFr/3pyQeeb3gm0rtVO4STVUXYjleo6Qb5oNziApYfDWD5AUHcmqy54VnGipCcgZdlFiiCqbjqnuzyiermVF+bWm1SlnRUFVh+NIDlBwSBo3t+Gq0zvu66IQrbKuQaV/ngY09WY9qSZe8yLj73o8W+dyxkfIzfED8REfNGVNd465S//PvK4ifWDtH3RmnT+ZY2uCeJsZx0sVk/837AmMhffvueZIgS+2QEy14aYNnLDrLm9BCPUTKLb57VxuMlh2mYXAqT2bwbcl3QoUxpiQHd+6xQXnGAZS8NqmD5SSNGlV9WXG949r0xudEqkhaP2mcQDiH1F0mrimzcVNwTidfJrPocu5UlRGD50QCWn2rjy8qQtHB0L3yw34Zn2SPcLtGJk8xRdJ14mcgvlePzNsOJjZDSE1Jcigg9rqFcqwHLjwZVtfyAsJh47bq65WfiwgfpzdYhRAQLiAmyLF21z3nvJd1UYcbuer9KmS0iMaYnpjjD8qMBLD/ABNpXzQe25yeL0GekMshYW0ynG/tKgAg+LoZ0EbYpYPnRAJafchLa7KUwPo6OupvCx2kW1dNhtk8bycSlSqjme2htF4QLLD8awPLjj5BnFEmKLhHUJhLLD3N45ZY2Q836GZIYZrPgbapgISt7+mwCy48GsPzIgVmZHMIWksgsP6EQSn2EBSgf1+UUyz07oRFbfuGSQw0gftwQW6NyjqD4MX1bLJGZAbtoMzHEgTgxtRVX1xQUXY8Qcn6FHr9GYoorEZa9tMCyV7z4OJ5uLdyIlr1iolR1xCChxy8kQi/TUOPlAh/j90A3EguYJuvafdfhj1v0aNNnFVzPUPJ+tgDk4yvfiuqIiXqYFp7qRl9dRNOSZpVrzAvwNskLFU3WFxPEZKkpBc5klmVg+SmmyjMLUbRnhzmWnyps+lShKnmi8tMgJsOOIZ99bWZXutaiRPhOMzY8a4A9P3LIHjeObQ3ZJrl5FuiG5+TsVuVnBMqw3ydZj13U69DbDn66QQ7ki3mw50cDWH7kCeFa89KBPT/9yJpVhljvfF33rxJW1jUAef/mhRtieeiSZ8nxbe0Ab+Nj/Ib4qSBl7OTycJrWDPFj+2bXKpSpzSWJMix7lKEOJH8HD5zEV/0UFdG6QPxoUGbxE2pHILOHwWV4rvxJJSF+RK+ej4msGbTMO1UgRhGl/LMuFaEK+eBDfGLPjwbY8wN8UtsH0PjDpiHt+QkdG/sosDejGqiUM+pGWPgYv3HUvWKYOtap64+N46Uqx1dNxaPWkb5wy8xU//PCCeWorc8j0rX8S5ahTnxCG9xCKecQsHEtge13QLmA+KkYIo1epEPS7TxM3m7ceEJF9n4W252gSHxsWDySn0XLVPYUWN53Jgf7GIWDzgm7PH9ixlSeuEAl38tUVmUHy14AmCTQo+6uMHEs3tYSmGp8YqZsR9fxW1/lBL/tpQHET3mIuoOruPhRwZUwibI+AW+kCXlXv4FWNbDnB3jB51XvaeHp/LQACJ+0+pa258c0aT8FkRU/U6T5pfLTMLb3Y8X0kxiu4tnYDxV9jinv8DMoJ4HlB5SWxpm+s1l/AJafoqWO5C9rg+pQVmsFrHpmcb1cihueNSjzPT9lx9adEjL+pt1pohQv3PCcien7Y6K49wkAA5T9ziXc86MBLD8gCAKw/JgAM2mzyMykY8n7slqRbIB7rPLBhmcNIH7iorQdZ0nEjw6ynXJp64JDyjQQ+iamvIz6cEgDED8aQPyAIKiQ+DHd4abdASMrjKpwGkc030XcZbkRzTsTdSDWgbsswiMEIH40gPgxAxqyJhUSP8A+Mu0xlLYbSjxsUOa0+QRH3YF3Ym3YVT6yCfQJtf7ItEeZ29ttpjfWPkSE0NOWd3y96kfbk0D8lABU6PA7JVug7OXJu1vKZfguyi55p0vjcmBZKXv68sj7iRrZn68pO1j2AsAkWPYCEYLlHFDDR13AsheIjqzbaos+gzBwVR66ZW/ifZfvNL5r8gZ1F7dfg3xi6sdU4plVF2JJsyiw/ABgEgHLT+ynkGKPP1Gclg6TJ9mqcCoO6N3U7LJe4LSXBhA/5SLtRwWjAMteRolRpPgitLyKru1WAJU6Utaft8CyFwiStB8PLAN5S4K2w02LQ+jYLHuXG49dEMpprxo+2q6JdKm0j5DqUF78VcqjTP1vI7D8gCCB5ccdrn/EEABToL6WA1h+APj/yFh+sjaZZrkt24xfl8Y8lr1J2RdV20ifTJ9IeqtQzyF8zFHmepIGLD8gGnzP8oTCD9jyo2NF8533wBwx/ixDTHHNoyzpMA0sPwBkkHd02NUMt9ZpxWp1SFrRZOJt8ze8QsZHPbONrJUvBHzF1XSZp7U/U31I7PXSNbD8AGCSgC0/AIgQ3T67/w+O78cLjrprAPFjj2g3H/sA4gcAEAixLLNh2QsESUjHzmNcbiqiLOlIw/TR4xiXn2Tj7OPW7ZDyMq+8Q4yvD0Tzx3d/HTKw/IB+uLL0lNFMPfHadfTC1/705OeFD9KbrUOMbS6NZRZniqqlF4As0vrkMrUPLHtpAPEDfNCvU/ry70e37FWmTlSGGE89VQEss1ePaJa9VqxYQePHj6chQ4bQ1KlT6amnnsp0u379evroRz9KZ5xxBnV0dNDFF19M//Ef/9HP3bp162jSpEnU1tZGkyZNooceekglagAIYcp8HtKSoCqxxrsRlXJ0eeqp6ss0MpShTdnGdH2qYv2UFj/3338/9fT00OLFi2n79u10ySWX0GWXXUZ79+5Ndb9p0yb66Ec/So899hht3bqVPvShD9EnPvEJ2r59e93Nli1baPbs2TRnzhz68Y9/THPmzKFPf/rT9Mwzz6inDIAcYjzuC7IJvRxDjx+IC5UfKDXlX1mQXva68MILacqUKXTnnXfWn02cOJEuv/xyWrJkiZAf55xzDs2ePZv+/u//noiIZs+eTX19ffS9732v7mbmzJl02mmn0Zo1a4T8xLJXvGTt/YlyfRunvaxShaUQmbreOLCVOU9AufEyfrMER48e5ZaWFl6/fn3T8/nz5/Oll14q5Mfx48d5zJgx/I1vfKP+bMyYMbxs2bImd8uWLeOxY8dm+nPkyBHu7e2t/+3bt4+JiHt7eyVSBETpuu4R7rrukfrnUGmMY9Znk+H04/BhZqKTf4cPGwkrBoryXeT9GOpXHrHGGwDf9Pb2Oh+/pcTP/v37mYj46aefbnp+22238dlnny3kxz/8wz/w8OHD+Ve/+lX92eDBg/m+++5rcnffffdxa2trpj833HADE1G/P4gf4JWKip8yELv4KhOxi2GdOMeYXl18iB+lDc8DBgxIWo/6PUtjzZo1dOONN9L9999PZ555ppaf119/PfX29tb/9u3bJ5ECEAJZ93ZUcfOdDMgfO4SyD0z0npuQ6oHpuIn82K7Pu5OK/NOpQ6424Ff9ziSpPT/Hjh2joUOH0gMPPECf/OQn688XLFhAO3bsoI0bN2a+e//999NVV11FDzzwAM2a1Vy4Y8eOpYULF9LChQvrz772ta/R17/+ddqzZ49Q3LDnpzoEve8De36ABDjWDUAER91bW1tp6tSptGHDhqbnGzZsoGnTpmW+t2bNGvrCF75Aq1ev7id8iIguvvjifn4+8cQTuX6C6oIjsOUnNMuGLXCsGwA/SC97XXvttfTP//zP9O1vf5teeOEFWrhwIe3du5fmzZtHRCeXo6688sq6+zVr1tCVV15JX/3qV+miiy6igwcP0sGDB6m3t7fuZsGCBfTEE0/QV77yFfrZz35GX/nKV+jJJ5+knp4e/RSC0mBjMKzCABsjEAPlAMsrIFhUNgotX76cu7q6uLW1ladMmcIbN26sfzd37lyePn16/f/Tp09P3Zg8d+7cJj8feOABnjBhAg8ePJi7u7t53bp1UnHysWEKxInVDYXY8GydKm4IBaDM+Bi/8fMWAJgkkD0/2EsCgBt83UGmGm6IfQJ+20sDiB8QBIGIH2CWaC7ZBJUjRDEjS/AbngEAoAzI7kXB738B32QdAmjcHyd6TQKA5QcAs8DyYwyXS3cqlh1YgwAwA5a9NID4AT7oNzBD/AAAgBRY9gIgMnAk2z95dwLpmPqT72LZAOgS8i3dVQOWHwBMAstPVJRt6aps6QHVAJYfAEClKZoJi3xfZKEp84wbwqdalLUeuwCWHwBMAsuPMrJWC5sbodM2Wyc/F4UbkhUmpLgAkAQbnjWA+AF5OLsLA+IHeEalrldNHFUtvaED8aMBxA8IAogfAACQAnt+AKgwZd6LAqoLLtoDIQLLDwAmgeUHAACkgOUHAAAAiBD8nERcwPIDgElg+YkSbICtNlmn+1An3IANzxpA/IAgsCB+THXI6MwB8APaXj4QPxpA/MRPKToIWH4AAEAK7PkBlSZ64QNAxcH+FhALED+g0qCzBsAcmMCAWID4AcHh8tRErbPOCxMCCQAAygX2/IBKkbavqPGkR9rMVep3nLDnBwAApMCGZw0gfkAQQPwAAIAU2PAMACAiLLcBPXzUHVzwB2IClh8ATALLDwgEXNwHYgGWHwBAMGD2Hjc1kbN76aymz6CaoB03A8sPACaB5ScXWB4AAElg+QEABIuJmSOEjztguSsnaeWKMpYHlh8ATALLDwAASAHLDwgGzCQAAACUFYgfkEqZlyewHFAM8gYAUGaw7AWiJ3mUt/bZC1j2AgB4IObDBLjhWQOIHxAEED/REPNgAUCZwJ4fAABwRFWFD3601xyq+Yd89w8sPwCYBJYfAJwAy115gOUHAAAAEADCB+gA8QMAAACASgHxAwAAAIBKAfEDAAAAlIzGDe3YYN0fbHgGwCTY8AwipbaBOOveLJHPAKiAe340gPgBQQDxAwAAUuC0FwAgl6QpG3e2AACAPLD8AGCSHMsP7iUJA5QDAGEByw8AJQYDbhj4LIciqx2sdwC4AZYfAExSwT0/optiIf4AAGlgw7MGED8gCCoofgAAQAcsewEAAAAAWAbiBwAAAACVAuIHAAAAAJUC4gcAAAAAlQLiBwSN7NFgXPwHAACgCJz2AsAkOO0FAABS4LQXAI6BZQgAAKoHxA+oNLh4D4B8cBs1KCNY9gLAJFj2AgAAKbDsBUAB+EVzAAAAusDyA4BJYPkBAAApYPkBAAAAALAMxA8AAAAAKgXEDwAAAAAqhZL4WbFiBY0fP56GDBlCU6dOpaeeeirT7YEDB+hzn/scTZgwgQYOHEg9PT393Nxzzz00YMCAfn9HjhxRiR4AAAAAQCbS4uf++++nnp4eWrx4MW3fvp0uueQSuuyyy2jv3r2p7o8ePUpnnHEGLV68mM4999xMfzs6OujAgQNNf0OGDJGNHgAAAABALtLiZ9myZfQXf/EX9MUvfpEmTpxIX//612nMmDF05513profN24c/eM//iNdeeWV1NnZmenvgAEDaOTIkU1/AAAAAACmkRI/x44do61bt9KMGTOans+YMYM2b96sFZHDhw9TV1cXjR49mj7+8Y/T9u3bc90fPXqU+vr6mv4AAAAAAIqQEj+vvvoqHT9+nEaMGNH0fMSIEXTw4EHlSHR3d9M999xDDz/8MK1Zs4aGDBlCH/jAB+jFF1/MfGfJkiXU2dlZ/xszZoxy+AAAAACoDkobngcMGND0f2bu90yGiy66iK644go699xz6ZJLLqF/+7d/o7PPPpu+8Y1vZL5z/fXXU29vb/1v3759yuEDAAAAoDoMknF8+umnU0tLSz8rzyuvvNLPGqTDwIED6f3vf3+u5aetrY3a2tqMhQkAAACAaiBl+WltbaWpU6fShg0bmp5v2LCBpk2bZixSzEw7duygd77zncb8BAAAAAAgkrT8EBFde+21NGfOHDr//PPp4osvprvuuov27t1L8+bNI6KTy1H79++nf/3Xf62/s2PHDiI6uan517/+Ne3YsYNaW1tp0qRJRER000030UUXXUTvfve7qa+vj+644w7asWMHLV++3EASAQAAAADeRlr8zJ49m37zm9/QzTffTAcOHKDJkyfTY489Rl1dXUR08lLD5J0/5513Xv3z1q1bafXq1dTV1UW7d+8mIqLXX3+d/vIv/5IOHjxInZ2ddN5559GmTZvoggsu0EgaAAAAAEB/8KvuAJgEv+oOAABS4FfdAQAAAAAsI73sFSo1AxYuOwReeeONtz/39REdP+4vLgAAEAG1cdvlQlRpxM+hQ4eIiHDZIQiHUaN8xwAAAKLh0KFDuT+DZZLS7Pk5ceIEvfzyyzRs2DCtCxeT9PX10ZgxY2jfvn3YS+QQ5LsfkO9+QL77Afnuh2S+MzMdOnSIRo0aRQMHutmNUxrLz8CBA2n06NHW/O/o6EDj8ADy3Q/Idz8g3/2AfPdDY767svjUwIZnAAAAAFQKiB8AAAAAVAqInwLa2trohhtuwO+IOQb57gfkux+Q735AvvshhHwvzYZnAAAAAAARYPkBAAAAQKWA+AEAAABApYD4AQAAAEClgPgBAAAAQKWA+ClgxYoVNH78eBoyZAhNnTqVnnrqKd9RioIlS5bQ+9//fho2bBideeaZdPnll9PPf/7zJjfMTDfeeCONGjWKTjnlFPr93/99+ulPf9rk5ujRo3TNNdfQ6aefTu3t7fRHf/RH9L//+79Nbl577TWaM2cOdXZ2UmdnJ82ZM4def/1120mMgiVLltCAAQOop6en/gz5bof9+/fTFVdcQe94xzto6NCh9L73vY+2bt1a/x75bp633nqL/u7v/o7Gjx9Pp5xyCr3rXe+im2++mU6cOFF3g3zXZ9OmTfSJT3yCRo0aRQMGDKDvfve7Td+7zOO9e/fSJz7xCWpvb6fTTz+d5s+fT8eOHZNPFINM1q5dy4MHD+aVK1fyzp07ecGCBdze3s579uzxHbXg+djHPsarVq3i559/nnfs2MGzZs3isWPH8uHDh+tuli5dysOGDeN169bxc889x7Nnz+Z3vvOd3NfXV3czb948Puuss3jDhg28bds2/tCHPsTnnnsuv/XWW3U3M2fO5MmTJ/PmzZt58+bNPHnyZP74xz/uNL0h8uyzz/K4ceP4ve99Ly9YsKD+HPlunv/7v//jrq4u/sIXvsDPPPMMv/TSS/zkk0/y//zP/9TdIN/Nc+utt/I73vEOfuSRR/ill17iBx54gE899VT++te/XneDfNfnscce48WLF/O6deuYiPihhx5q+t5VHr/11ls8efJk/tCHPsTbtm3jDRs28KhRo/jqq6+WThPETw4XXHABz5s3r+lZd3c3L1q0yFOM4uWVV15hIuKNGzcyM/OJEyd45MiRvHTp0rqbI0eOcGdnJ//TP/0TMzO//vrrPHjwYF67dm3dzf79+3ngwIH8+OOPMzPzzp07mYj4Rz/6Ud3Nli1bmIj4Zz/7mYukBcmhQ4f43e9+N2/YsIGnT59eFz/Idztcd911/MEPfjDze+S7HWbNmsV//ud/3vTsU5/6FF9xxRXMjHy3QVL8uMzjxx57jAcOHMj79++vu1mzZg23tbVxb2+vVDqw7JXBsWPHaOvWrTRjxoym5zNmzKDNmzd7ilW89Pb2EhHR8OHDiYjopZdeooMHDzblb1tbG02fPr2ev1u3bqXf/e53TW5GjRpFkydPrrvZsmULdXZ20oUXXlh3c9FFF1FnZ2ely+mv/uqvaNasWfSRj3yk6Tny3Q4PP/wwnX/++fRnf/ZndOaZZ9J5551HK1eurH+PfLfDBz/4Qfr+979Pu3btIiKiH//4x/TDH/6Q/vAP/5CIkO8ucJnHW7ZsocmTJ9OoUaPqbj72sY/R0aNHm5aYRSjND5ua5tVXX6Xjx4/TiBEjmp6PGDGCDh486ClWccLMdO2119IHP/hBmjx5MhFRPQ/T8nfPnj11N62trXTaaaf1c1N7/+DBg3TmmWf2C/PMM8+sbDmtXbuWtm3bRv/93//d7zvkux1++ctf0p133knXXnst/e3f/i09++yzNH/+fGpra6Mrr7wS+W6J6667jnp7e6m7u5taWlro+PHjdNttt9FnP/tZIkJ9d4HLPD548GC/cE477TRqbW2VLgeInwIGDBjQ9H9m7vcM5HP11VfTT37yE/rhD3/Y7zuV/E26SXNf1XLat28fLViwgJ544gkaMmRIpjvku1lOnDhB559/Pt1+++1ERHTeeefRT3/6U7rzzjvpyiuvrLtDvpvl/vvvp+985zu0evVqOuecc2jHjh3U09NDo0aNorlz59bdId/t4yqPTZUDlr0yOP3006mlpaWfmnzllVf6KU+QzTXXXEMPP/ww/eAHP6DRo0fXn48cOZKIKDd/R44cSceOHaPXXnst182vfvWrfuH++te/rmQ5bd26lV555RWaOnUqDRo0iAYNGkQbN26kO+64gwYNGlTPE+S7Wd75znfSpEmTmp5NnDiR9u7dS0So77b467/+a1q0aBF95jOfofe85z00Z84cWrhwIS1ZsoSIkO8ucJnHI0eO7BfOa6+9Rr/73e+kywHiJ4PW1laaOnUqbdiwoen5hg0baNq0aZ5iFQ/MTFdffTWtX7+e/vM//5PGjx/f9P348eNp5MiRTfl77Ngx2rhxYz1/p06dSoMHD25yc+DAAXr++efrbi6++GLq7e2lZ599tu7mmWeeod7e3kqW04c//GF67rnnaMeOHfW/888/nz7/+c/Tjh076F3vehfy3QIf+MAH+l3lsGvXLurq6iIi1Hdb/Pa3v6WBA5uHsZaWlvpRd+S7fVzm8cUXX0zPP/88HThwoO7miSeeoLa2Npo6dapcxKW2R1eM2lH3u+++m3fu3Mk9PT3c3t7Ou3fv9h214PnSl77EnZ2d/F//9V984MCB+t9vf/vbupulS5dyZ2cnr1+/np977jn+7Gc/m3o8cvTo0fzkk0/ytm3b+A/+4A9Sj0e+973v5S1btvCWLVv4Pe95T2WOoIrQeNqLGflug2effZYHDRrEt912G7/44ot833338dChQ/k73/lO3Q3y3Txz587ls846q37Uff369Xz66afz3/zN39TdIN/1OXToEG/fvp23b9/ORMTLli3j7du31699cZXHtaPuH/7wh3nbtm385JNP8ujRo3HU3QbLly/nrq4ubm1t5SlTptSPaoN8iCj1b9WqVXU3J06c4BtuuIFHjhzJbW1tfOmll/Jzzz3X5M+bb77JV199NQ8fPpxPOeUU/vjHP8579+5tcvOb3/yGP//5z/OwYcN42LBh/PnPf55fe+01B6mMg6T4Qb7b4d///d958uTJ3NbWxt3d3XzXXXc1fY98N09fXx8vWLCAx44dy0OGDOF3vetdvHjxYj569GjdDfJdnx/84Aep/fncuXOZ2W0e79mzh2fNmsWnnHIKDx8+nK+++mo+cuSIdJoGMDPL2YoAAAAAAOIFe34AAAAAUCkgfgAAAABQKSB+AAAAAFApIH4AAAAAUCkgfgAAAABQKSB+AAAAAFApIH4AAAAAUCkgfgAAAABQKSB+AAAAAFApIH4AAAAAUCkgfgAAAABQKSB+AAAAAFAp/h8d8rlVDfgEAQAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "" ] }, + "execution_count": 6, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" }, { "data": { - "image/png": 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edCwKw7X8dYD4MQDip9q48DZoxWFJ/JjMImu/bZVH1vVpSwEyf/vAtZiOceDhutm1yugIraxrfEwgXQHxYwDETzhcNQxuHbSUPRniRyUvNr1ptvc9uAjLnZB54bCEqIKsfdzzYYuiZeGQaXK6BxA/BkD8hCdUY9JJ15mtKSc8J2fcpoNZyGUHG16ckPsbOMadVh4q3jSdtGwQSgyHXpYqM9jzEyEQP+7ImknIXBfTrNUKEsteLpamYiBtmUwnDpv2NNplei23++faLh91lluZJvFpn+nStcv4TYH4MQDiB7DAcM+P782aMtdwH4BiISmYkmIwRnQFpOryGJcyUhW7uhNHG9fEBMSPARA/ZrieVZiGl+1kZZYLnJIQP1wHt2R5cPZg5BG7/a6oUhnYzivnssuyjbPNMuCEZwNwwjNggeEJz7qnvcZGrHYD3Ls8YiibtFO3a/+HIsT4PdhLKgDQbxvdhN7HU49mb/w8+bet9G3F5QrZDqgxH8ly4p5HIrkXMIZExh4Tm5PXxnbviupcTPmpoWpr1uslTNPP6gezwqqmsW/FnCY7uYs1Z3jzMTkGy17h4brEo4Lx0onmo+4+No7m5c3F8hEHF31WXmOvpzU47B8pS1napkz1zDXY82MAxE8cpO3FcdFBqDwqbDV9Bic86+bHVlkVCQ4b8eWFsXWfY95DJCO2ueRLZU9fCLL6rFC2qu55jAGIHwMgfqpN1kDlvROI8N1erjeshyZmEWMbToO16dNSNkWTzX7DRhmrxGFavzm0C4gfAyB+AAsUxE/ITidmQcB5dsvlqTM8BWeGa2+0L2K559GIn1WrVokJEyaI9vZ2MW3aNLF169bMsE8//bS47LLLxMiRI8XQoUPFpEmTxMqVK5vCrFmzRhDRgJ9f/epX0jZB/Mjjo0EUzdjKRFN+GHt+OJY7V68TZ4FVhA0PCKclwiosXXK0L1n3XdoYhfhZv369GDJkiLjvvvvEnj17xMKFC0VHR4fYv39/avidO3eKtWvXihdffFG8/PLL4oEHHhDDhw8XX/3qV+th1qxZIzo7O8Xhw4ebflSA+AE1bO150aJA/Pie9cED0AyXZZ8q34MksmWRta/LBbJtJUsk6y6jZYULVW99TQKiED8XX3yxWLBgQdNnPT09ore3VzqOj3/84+Laa6+t/79mzRrR1dWlakoTED+/JXTHymHtWafRWkmfsefHJiFd+Hn3VPVeF+0fyQunm7YLbKWts9ckNDF451zZJysIuXsy2Yuf48ePi5aWFrFp06amz2+55RZxxRVXSMWxc+dOMXr0aHHffffVP1uzZo1oaWkR48ePF+ecc46YM2eO2LlzZ248b731lujr66v/HDx4EOLHM7Yaku/G6DQ9hXd72caHIMmLuyh92zNJjp14GrW8Nv4kv2/8LRunL3wM3DJhfS3BmOJKKHPOsynsxc+hQ4cEEYlnnnmm6fO77rpLnHfeebnXnnPOOaKtrU0MHjxYLFu2rOm77du3iwceeEDs3r1bbN26VXziE58Qw4YNE3v37s2Mb+nSpan7hCB++GFrULY5u5V1QauEF0IYeX7yXOg+Ov7Qoknl+hgGgqI82xarsuk1hnXhbfUBd0+GLbgs08p8Z0I04mfbtm1Nn995551i0qRJudf+9Kc/FT/4wQ/EvffeK0aOHCnWrl2bGfbkyZPiggsuEDfffHNmGHh+ykn0+1I0xE/WGn+IDl51pipjmy3hFm2dYE4s9yTLg2azrWS1xbS4XeQ9b+m1yM6YYS9+bCx7CSHE5z73uUJP0Q033CBmzZolHSf2/LhFZm+EjHBJhldtxDZnzLY7kO7bHrMmfnTD+hZJHGbeOnXI9NrQebaFzWUZl6j0Fzp9BId6nAZHm1zAXvwIcXrD84033tj02eTJk5U2PC9btkx0d3dnfn/q1Clx0UUXieuvv146TogfXuiuabucTbkK34SFZS8ndiliS2SG6rx9z5Z1xTzghct+S0eQVYUoxE/tUff7779f7NmzRyxatEh0dHSIffv2CSGE6O3tFfPmzauH/8pXviIeffRRsXfvXrF3717xta99TXR2doolS5bUw9xxxx3iySefFD/5yU/Erl27xPXXXy9aW1vFs88+K20XxE9YZLxAHGfNtm3qWbyhLn56Fm8oTFvGg8KpvGr4GuxtCa9kPBzLNA+ObYcTtsSujheWwz3h5InVIQrxI8TpQw67u7tFW1ubmDZtmtiyZUv9u/nz54sZM2bU/7/77rvF+eefL4YPHy46OzvFhRdeKFavXi1OnjxZD7No0SIxfvx40dbWJs466ywxc+bMAfuKioD4iQtOHUcjxvZYftSdW/mUDVNxJbMvw+aeFB1klqFDIOPpVPGoJK+Jqe0kJxOxijBdohE/HIH4GYjK3pu0v22lJWNDXhwxdGh1uzyd8xNDmQihNoDFkB8OmAipPCGW9p2sR0W1H9EVNrLYFpm2xGteGct4J120DQ7eIogfAyB+eCIrcGykYStcY3hley2Jn6JlMNtiwVUZmhDCQ2Kapo8B2ke5uGivRYN7UZ33jcu6kNaGbZd5noDViavxt20gfgyA+Kkmpo1SxvWuhAPPj63lgaL40zpL24NR6BlmHjrlrOLVyvOk+PR6yXiEXaed9ptz3QBugfgxAOInHywrNOOsDHLED8rdHS7LVqbd+FqiUEk/L6zucpIL8jyZOt5a1XRjpEg0ZnmUTCZSLssK4scAiB91ZNblbafFFWvuZwXPT5YXwaRTNllGsSmQZZc7dTwppjbl/a0aT9Z3nOu7jfqlEoesd6xKpHlbQ4gxmfvpQyhD/BgA8RMnXDo9a+viFt7thaWAgaQNEL5nqaqzaG7IeAlM4jaNQyZ+bnFxTTO2+gnxYwDEjz1iajQ2Z59WUNzzw91ToFK+uh2uiaDIKz/bXizV72yE50KsdpsSm4hII8sLyylfED8GQPy4Q3f9WCWciW06yzU64aWuSRE/Kvnn1CHl4coV7rOjtu1FKhJJsdzbLDjZX4bylMF0SToWcQ7xYwDETzhUBw3dhmx6bVZ8MmlJxyPp+Qkx+0rbX+AjfU6DVFq5V2UgVUG3PGy1SeuTEqb4sjmZTlY/EErAQ/wYAPETlpj3QljF0yGHtjGZTZb5fqt4N/PEpclyYJ4t3Mo+rf2beGV1vM0qcCs/HWwuFad976OMIH4MgPgxw8fyVGiyOlLZAU6KDPGTNyDodvCuZ72qNtka9G3j2xZb6bi225aosNl3hPQ4haCo7JIeyuQ1Ot5pjmUF8WMAxI8cvgYmDg0sq2NwalvOnh9XM1dXs+E8sZhXh/JmlEW2yg4ESTtlrldNzzUmYtwlJuWpe40tTMtQVUjopuGzjHQmU76B+DEA4scdvjwMKmFlXbamKM+yNB91576kkVYH0rxXMoIphM02r8sSYVn/28BH2WXdX9nwRWE51WeQj+97BfFjQBXFT9Gs0dbgYyIoZNNXtc/Eq2PiHbAhfmzaZnqdTjqmdarqgyAnL08jJvc1eQ2nfOWhcy/Syifk/YylrPOA+DGgiuInNFkNnsvMPwgN4qdn8QavSVeifEsAV/GTRGZy5Tptn7hK0/e9dun9dgXEjwFVET+2Ok5T17ZpY+Dc6ZvQs3iD9KPuHMqgaIBTjct1R287Xg73wCU22mmIwVvFCyN7bZanOG+Cpjp5U10CRH0+DcSPAVURPyGxOVDKpBXKjW6UlsSLTWOY+ZsKoMYf2Thdl4ttL2Rozwf3OpRH0RJ4UZhQcLZNFw55gfgxIGbxw6HyAUtIPuqe9VkesS0jcrVVxgNgO34OcdmIm9u9bISrXWlktQ1XnvY8GzgA8WNAzOLHFqE7SpUlNFX3tCneOm2Nd3u5WKN3RV7nbMtT56rjT9Y7jgO5DZGcFS/n/MeyTGpCsn24aPe2vcu+vO8QPwZA/ORjowHkNSiTZRJTbMZhPCBEcsKzbMdoW5DlDQBp4tjUvqx0kzboDhZFIj704BtC6OTd06zwqmXvQjDYQlcwJOuib29P0X2A+GEKxE82vjvgrAEuL7yuCz6Znqp9NmiyQ0P8qHb4oQfURhtsenyK0iqyI/m564FE1kZu+G5vJvFxEJCy+CwXV2kn4/JV/hA/BlRR/BTNsEw6uDIQQhTJPu3FhbzZeN73Rd8VpenL45QXH5e6ruK9ystHmgcrpOen7Ljw+Lm4dyaeKBvpywDxY0AVxU8ermbgPmfTLnBut8TTXtyxKaZl0snyHpkOIMl00v5WjSsrjIuJiIpdNoRo3iCp0+Y51PfQQjDLHm5pFHlOXQPxYwDED7A9aGoRaM8Ph4Emie4AbTtcY1jfHiebFHnp8q7TFWdF3qYQuKgfMeA7Pz7Tg/gxAOJHDu4dQiivkrVBMeWE59CzTN3yVPV6qF7rEp8z7NB5zcKlfa7z7KIP4HqfXGFz2cx1XYf4MQDixz4u1q7zwrrGlQBoQuNRd+20LCG75BTDYO/SXR+6/sqge49024bNvJsO0CCdtD6YW3lB/BhQBvETevCTcX1nDYohGpXrNXwZITCAwMteqssayTjSwvv2xKnWJdU8lhXX7SErPVfxmsZve+JmMnmy1UeWdckP4seAMogfboT0yIQWVNpkvNjUNC+6nbDuspSPJRPZvKjab2OWm7xGxlZZD5oPOHgUuaBbFrGUm6lI45BPiB8DIH7y0Rk0ZcP4bjy+hZFS55Lw/Jh4I3Q6MRkvnkp8pri8Vyqz4NDeBK64zE/RpCYrvIywrRqmwpp7uUH8GFA18WNrwMy61pe4sBm/jRmP8dJBwBOeOXdwnOqTyhJg44+pXS6W5dI8VGWFgxetCvhePhUC4seI2MRPaLe4KT4bRkzEdsihDHmeE1t1wLaXyWZYE3tCYsPjZToQFl2PfiQsXMof4seA2MSPKa49PKaNwoa4K7JBdolHdr9GWnzK+XDk+eHSSRWhO+CGzl/aPY+BIlGazFeyTZh6tvK8pyrX+Cavjqb1G6HrZw0ONrgA4seAqokfX9juAFwtrRV1WDaWCaXCWhI/Pjs5nwN/kZi14a0wQbceJa/P+l/VDpV4bLVNXwO9SblyR3cCYJqmahw2+0cTIH4MgPgpxldFlvHWmMbta4A09fxw7bR1l4h8iRMXSywm6Zp4D3UJXXeyvEZ54dL+l/0uZnznK89jZyoksyYhLvMI8WNAlcRPXidrs4LaruzcXMh5aNvnYcNznhDJEypc60ZaZ6tar0N6i0Liy0OT/L9M5awjIGKg6D5xyiPEjwExiR/dWa1JZQ29nKBK44CoO8PJi1vme634PT3tZerdiMFDEVN9NSVEHn1ORkIKJk71R7cfK+oLddINEUcWED8GxCR+VHHlxk/73vVAVnoy3u3FbYnIZroyXifZ+GzXRxM7YvRw5E0UVPMUS9452xly0sm5XJJA/BhQFfFjU/X7dJmrzG64ImVbwHN+hLC30dJUyMima3tGappvmfCc62iSNJs5DMIyyzGuPLu2UBWRIdpOlnePWx2G+DGgzOLHFrbFRZHbvMgz4AtXHoVUJMSPT9FpMz5bYsFEwBd5NnTS4S66XWKSb91ls6qWNcgG4scATuInZOO2uUygEtaFqPJFlkjTsSPrkMMsT0pIVOxR8R6qzkizrrMxMJtcF3M7thm/St2VrUeycTqbpASOSyU93TYWExA/BnASP1noLgHpdDYynVDRACTrmvbpyQjtPSpMM8fzw0X0cEN1CcRGGarWXy6DqIlQlQ1jI35TOIk/X2QJQtf1My9NX/08xI8BMYifUHBs6C5xNVuUijfwnp8yk9chmyylFX2W/N734G8yKHIktDfHl7CylY4Le7lNxCB+DKii+LFZgVW9UTaR7SxczkKseRY0xI/uMlGspA3mXDpjLnb4RLduuR6UTbxTefH6xKRsXYgornU7xPg9SAghqAT09/dTV1cX9fX1UWdnZ2hzrDGh93Hat2IO+zhtxK1yra08WLf3zTeJzjjj9N/HjhF1dBhamJMWcyb0Pj7gs1oe0r5rDJP8vjHvWfHmXaND6DJvTD9pS+3/xjzHVj9MKbo/oe+fKSHsD1VmQcZvbzLLMWXx/GS54vNmyLbXafO8IFxnDnlklUNe+ajksyls4pwfnXhclHmy7uR5X2TS1/EUyuYja9areg/LStXzm9dmi8K68jQW9SVl8ty6AMteBpRF/OiS1fB1By7VtBrjle1YdO3Q3Q9RJHRs2JP2bq+QHZ6smMm61kYYm9gQqzavtRmHSXpF4jbruhjQnUDItmsb/aGLsKaoCj0XolAWiB8DOIofXa+LSgXMm63nzfJdYTN+GbvZdeYpJzzL4mp2KFOGvju+orRCCi92dSqBCwGoi4ywShNmvvHV/zWmlfUdV7GUTNdnmUH8GMBR/DRixaugcI3sDFBlRqBjh0y8Kt4bU3TyohQ+463uJvffdt1xdT+Lrk3eY5sCx5UgcFpXPMLNrqy6EHKwN01ftU5zuyd5QPwwhrv4cU1aB1LUyPI6HpuVPcszZZsQXotkGTYecqjq+TGxgxMyXses+pBVJ/PqcohycDlpyEtDV7zbKh8dMRpa0Kh+ZzMdH+mrxMmxvxAC4scIruKnqNNO+7vos7Sfxu+K4tCx31Y41bAurs+Kz4pdls75Sbu/pvjo+HQ64Jg7bR/oerViKbMioewyvcbfReG4E4udaUD8GMBF/LhssGmz4ywBlfWdzGwob1aedY1qGqFx1rGliJ88j0fSnrT/Za5PXhvCE5LnQbTtAQFq6HonZCdlprgUGnmTxTQb0q5N/i2TpmqYKtdziB8DuIifIlSFgesGVxROpfGriCYVW1yj6qLPLROLJzzr1BWVuLmUfxG2B8a0SURaGN8eCVV0PD8m16iKeFXRbgud9hyS0OknCXHPIH4MiEX8yJDl2XGdZtr/PtLXyacv+5Q78ALxUzS4yIQH2egM7r5wJeJcx6Wbjkxdd3U/irw7nESsD7K8sVzKA+LHgNDix6TzyKt4aZ2FrjCyXblVOzCdPISYhRhh+d1evvMtW69cdZZZYjOvo9apIya2ux40QtR1bu1Lp28zEWkh2pnOd7bjyArveyIG8WNAaPGTh4y4Sf6f53bPSycrjrywMrOkvPiSYiYvXBE2GpiytyYjba18OHy3V3RC0BDZNqMbr+6g58qurPg4e7NMbeBgu01065avvtFHnDpA/BjAWfw04mqWasMLpCq2ZNJQ7cBDNUadzio1vIL48Tnj5NLJ+SLLa5QVNrQXVZXQ6evgoo3HMimwJdhdwKH8IH4MCCl+dF20SbGR5zXJCld0ja7dqjOYNC+Rapqu8Nq4JcSPiiewiti6X6aih8O9cCUYar855DGPtH6y9jdnYvMAhQbixwBunp+8hponerKEUfLatHhk7cr7bROT2XRsM/E6lvf8mOBrcLORDpv7J4lpu+E6iNtudyqTIdm4bBByEqYSPq/8yjSJikb8rFq1SkyYMEG0t7eLadOmia1bt2aGffrpp8Vll10mRo4cKYYOHSomTZokVq5cOSDchg0bxOTJk0VbW5uYPHmy2LRpk5JNIQovTdTIVsY0kZMMpxK/TWzPVFTj5IDM/UjFQPwU1ZG8sGWFkzh3HU8yvhgGaO425HmOYhQOIbx1PjxuUYif9evXiyFDhoj77rtP7NmzRyxcuFB0dHSI/fv3p4bfuXOnWLt2rXjxxRfFyy+/LB544AExfPhw8dWvfrUeZtu2baKlpUV8/vOfFy+99JL4/Oc/L1pbW8X3v/99abt8FF5WJVARAEUeHtkGqmq3SliTNHXKyEbjcjkA5YnQAekaen5Uy0H3fnH1POSh6xlIu38qaRbV3dCYeExV08kSEi7RScc0LBcvU97kuExEIX4uvvhisWDBgqbPenp6RG9vr3QcH//4x8W1115b///qq68Ws2bNagpz5ZVXimuuuUY6Tp/ix+ZPLd60+JNpN4ZJ+7vIdpnPkp+bCrGqDMx1HBxyqCKEZOKy0RnbhJu4CJmmart3ZYfrOGUnQ7rpyVyfJxp9Tzpr4X3XPS59bAjxM0gIIUiSEydO0PDhw+nhhx+mj3/84/XPFy5cSLt376YtW7YUxrFr1y6aPXs23XnnnXTDDTcQEdH48eNp8eLFtHjx4nq4v//7v6cvfelLtH///tR4jh8/TsePH6//39/fT+PGjaO+vj7q7OyUzZIUE3oftxqfCftWzKnbs2/FHCtxJvNXSyMt/trnaTZkXWOLPJtqtuja0Jiv5PV53w3gzTeJzjjj9N/HjhF1dKTamZYn1fuadi9s1w2X6Nwr13UsK00is/qlm1btb5nwIfB9D/P6H1uY2keUXleSbd2kn7JN6HrU399PXV1dTsbvTFSU0qFDhwQRiWeeeabp87vuukucd955udeec845oq2tTQwePFgsW7as6bshQ4aIBx98sOmzBx98ULS1tWXGt3TpUkFEA35cKEfbHp7GeBvjT0sryx4ZW/O+T/6tgivPjGv3tm1S01b0/Lhwr4eYQfrCZb5UvAVZbdaljT7uqY7XJAQmXpWQ7SOtjrDrwwLAftmrJn62bdvW9Pmdd94pJk2alHvtT3/6U/GDH/xA3HvvvWLkyJFi7dq19e+GDBnS9L8QQnzjG98Q7e3tmfG99dZboq+vr/5z8OBBtstejdeq/p3WqdpuvDoiKy98jEsVeWVbFHfjNT2LN1h7q7uKDVn2uMBUNLtENw3d/HAtB9u4qFMxiKw8kgJGpp+wna7rtHzBXvwcP35ctLS0DHgS65ZbbhFXXHGFdDyf+9znmjxF48aNG/AE2MqVK8X48eOl4/RdeEVenLSGUTT7UIkzGbep/UWfZ4X1OYsKNWNTSjPh+cm6Z7p26ApS2XCcO03OtjVi856nxeOzvcmmHcKuvPS41GdZG4vKj4unyBXsxY8Qpzc833jjjU2fTZ48WWnD87Jly0R3d3f9/6uvvlrMnj27KcysWbPYbXiWRbZS53l3Gr+XiavIFh3yBJrpAC6bl5D5LhKrqTA650cIs0GpjJ2sCb7Lw9YAzuk+arUpjTRkw5TRixIjUYif2qPu999/v9izZ49YtGiR6OjoEPv27RNCCNHb2yvmzZtXD/+Vr3xFPProo2Lv3r1i79694mtf+5ro7OwUS5YsqYd55plnREtLi1ixYoV46aWXxIoVK1g+6q5DloDJ+0lep5uu7e9MbQnhufHecQXc8yOTFjryYjh6FHTFv6zHoKifUrEha8Kkc60tVOu+zbZSdq+NDaIQP0KcPuSwu7tbtLW1iWnTpoktW7bUv5s/f76YMWNG/f+7775bnH/++WL48OGis7NTXHjhhWL16tXi5MmTTXE+/PDDYtKkSWLIkCGip6dHbNy4UckmruJHiGJPELdBSbeTS37nc6AoKlcbZSwVh4O3unNx4cdEWln5bmfc71devdJpN0X1tCge23W9yHYbgtJW3FUnGvHDEa7iJ2sWVRRWJt68z9I6L9nOoKgzzLPBBkWdJ4fZd1batjY8q1KWzpab0PNdx3XTzWr7ZcfEy8QJXbtjzW8SiB8DuIqfImzNcHSv4+Z1ih7JF5vKfJaFCxd+rHXA1syee/5te0K45ZerXSbY9DrbhJMtNSB+DIhN/MgORlkzm7yOLG8WqON9ctkxycadtayV9n3RbNCpcLC07CXr/cvzkrm4bzpxcexs0/Blp610fImZtPYTyz11jUx/zB0O9kL8GMBR/GTN8FVnq6qNKi/dLGGjgoow4txROhnIM8RPqDIoo1jhXKdsEkseY7BTts7ITqh8YXviwtUbBfFjAEfxk0fRrD3vs7RKnBQ2siLL9YzRRwPj1IhteH6yys13x8WqXBPoLmmZ1PvQA2Et7Sxvg26ZuILbAGuTECKiaFxwlYYPIH4MiE38NFIkgvI6PFvpl6WjCp6HHPGjtHxmieDlYYDqTL0onElZmCyduoKDDa7R7et0y8bFhDFtopoXj+rnrvGRLsSPAZzFj04lzxM7qh1xWsfveubia0ZiSwhaG9wUPD9lXJJygY8ZL3dctFcb8cj2YTbTtAnHfpBbGfkA4scAzuJHiOIZhU4Hb6vhZnVS3LxBOrP8vJmWkzwqih8d8cbpnvjGZOasG59MHDrXxHQfXXqek2mUhTTRF8L7GwMQPwZwFz9ZqAoYmY4/K07XDUu1Y3Rlj48OJDMNZq+3MKWqnbFPGkU4h/LmYIMNXOaD29JUY/pFYwqXetYIxI8BMYgfV27VtM4zS/i4tCHrO9U4sgYCleU91b8b4zdyVTsSP6o2cVtq8GmDar0xTUfHA+t6uUUXn/aoTM5seLY5Eos4cQ3EjwExiJ88bMz8bDYYn0sAMZLp5WLk+ckSdiGEiGmaRYNEiFk+l/h84KOcVexI/m/LLqOJT0B0y4GL0IL4MSBG8ePKC9P4d5ZXyGY6NlH17rBD8oRnFbHr6h7GRJqXJS2M6eTBlUjM8z4mw8WAiSeybGTVRdU4dIVXXp1VqV8h7xHEjwHcxI9MR5cMqxp/2gBqOkDmxWVr4OEwW3OGpudHJQ/RC8T/R8wDqEz5pgk2TnngTNnKSbXvL1v+i4D4MYCb+MlCRkAUzfJdLCE0pi8bRjZeW/a5SMt2XDLn/HDp2ELYEXJZwXe9chmnTXQmLXnCzlf/4FtUZuXVtYhXEdiubHANxI8BsYgfWXy4J/M8OzKNuqiTs2FndLPlwHt+oiorz4Qsm1DCSxadwbxoIucTk/R0r02blKp6cHX62Oj6RAkgfgyIXfzYrsy2OgPZxslhxmzLFiPvhKXXW6R9pjKAuuggVeqFTpy+8ClEbHkLuKGbLxVPkUp6JgIma7Jn2ofatLPsQPwYELv4MUXHc2MjzcbfWZ9lXWeato0OJS8PWmic8OyzY6xqJ8xpcuEDX/ZhgLePDYHowiaX9xXix4Aqip9khcwayEPMOLNssBGnCw+EKTU7ehZv0Pb8uBKttuPNiseHN8inqG/8WzZNLvVRFY7eKN2yt+E5LYrfhdComkBvBOLHgLKJnywXrIpbOS8+W7bpdpo2OjSZ73XTlY1rQEdo8LSX7L21jamYdNnJ+rRHpy4XDbR5ccY0ONUIabNL71KIfIVs89yA+DEgFvHjojOXmdmbzv5ddeCpAkIhvCu0408RPz47MBeDLduyzohLZwLAbZAJLTJcxm0Sv849TApRVRs4e3fKAsSPAbGIHxtkuV/zGrmMOMpLp/GzvLBZ18nY6xNTIZBZvpaf9ioSM65mwrroinvb+VAV1S7hYENsxNo/mKSnItbzrosRiB8DYhE/qh2hLU9HMg5bA0Nob4Kqp8h5R9EgfnoWbzAuW50OsYqoeLtClqmKVyq0aJJtN7KTsaJ4TG3lQNaE0Va8NuPkBMSPAbGInyKKOg3T2UDSKyTj1cmzTxXXjbbIMyXjuTLCwwnPLuOIBVuiknOZ+bBNNY0ij0yaZ1Rn8uZrcmQjbl/1yZUnjEMbgPgxoCzixxdFHZPKjM+2XXlxy84yTTuILNFZGCejF5smsdVBywhkFTtk7rUpKp4h1XjT6lwIgeXDO1DU5lykFSs2BZzOJDgmIH4MqJr4SetsG79LfpZ2fVaceX9zxWTQKcpfUVk1YSB+TD1qMmLC5310MTv1kYescrQppgFvQglW13Fw9XpC/BhQVfFT+zvte5lwWXHLpKtia1Y8Og2RY+OtIyl+WNrOGJveBZX642MZw3U6MsQ22ckjlNfaFN1y55gXVSB+DIhV/Kh0wDZUe56nSCce0zBZ1xR5tVTj84bBCc9p3/uwX0d4AjV8Cnb2bcSSDbb6Ml1selFk+vhY75MMED8GxCp+asgMdKozs6xwup1GqJmh7qzfhY2FcUqIH5vlyKFDBM3IDohZ7dBkUEV9aCbLoxWynGK9Ry7thvgxIHbxY0qyUas0+Kxrk2GSP1lh8tLSgWtnkWpXxqPuPlzwXMspiW/hbDNc7Kgsb3ERDrHfm6LJZuj8hU5fCIgfI2ISP5xm+1kdYVanl+aKdTHAFKXPocE2UrdHccOzjldLtjx0y8hX2SbzIespKRs6+fbt1Sxr2VcZTvc0xPg9SAghqAT09/dTV1cX9fX1UWdnZ2hzrDOh93Hat2IOTeh9nIio6e+s/22klUyTMzV7g/Lmm0RnnHH672PHiDo6wtoDglJUJxu/Z1F/DYiln3BBss+MmRB5CDF+Q/xEis0Kaks0uYRbp5JpD8QPUKCx7RFR9ANo1oTMZn5MJmVpZctZtOXlVUVwcc4jUaDx25uPyTExLXtxxPVyUt7yVVbaMSx3NdJ922OsDznUgXN5FxGz7TVsbPQP9aCCKlzaeN4eHe5lGCvY82NAWcVPXmPT6SzSNi2b7Kvx0Rm46hRt7Ylp+p+Z+HG1J4sDnOyVLee09qWyp4fjvqjc9uA4rawwMmWcFq9qufuYoHGq566A+DGgrOKnEZdCw6RDlrGtaDYlEz40UjYZnvDMKb+x4HLzL9d7wqV9hE7fNjr9GDAH4seAGMWPagfra0bFtcPnRLKM6n8H9PxU/Z7ZGph8lqOJ19WmDVlpxrLk7IKsfjB0Xy2LrJCTjUv1GhUgfgyIWfy4iFd35prmwvbRkDkMAjIUlq3mCc9ZnjGZclAtI25lmoVLjw53uHueigjljeNSXraFuKt8celnIX4MiFH8hEZnrd6kMbpesvMRX1FaPYs3WPH82BKvPgndgcpiMjnwjcyEQNZ+1/nkXI5FZJWzjzLT9S65xmfbgPgxAOInbjg0dhkKB54Mz4+OiEkOdjY6Iy4zvdDp58HZttBwqT++bfCVVpHI5VT+NoH4MQDi5zR57uDab5mZo60ZkMl1OtcWeW2Secr6X5uE+PHh7eLQEXKwIYmvspdZvsz7Pi8cKManMEmmZ9trI7u0pxOvyeTLdRlD/BhQNvFjWsFtVVaZBq/aUGS/zxMksgOKdzyJnyJUy1g3jCv7OBKjzcAtnOpEzOIZ4seAsokfU1yKgrIPhjK2ZIVp3PPTs3iD1fS5dWo+PCs+sZmuL0HOqT74IsRyV+NELPnT+L1v2E3+NIH4MQDiZyAhGqZKQ1RZMgiBTh7S9vxkdaCyaYSkaBmx9ls2P77za7oEUeTxbAxnq72FrhMcRXZWXXPRjsrQNmWvTdbvUHmH+DEA4sc+qg1AZlbEvUNJQ8l2jUfdldMIAFe7ZInRfhcDellJE6ZZYtUkXpVrbJW5zAQkdiB+DCir+Im5ctsUPybXeS1DZq+38EHoZaoyCW2gBsd7zNEm7kD8GFBW8eOaUOvUaf/7HricpJGz7JWVNjpLt9gQwDF56YTgt3TlAtllaRfxArtA/BgA8XOaMjfcGAadmDw/nMoRHpvT2NyjxAUZoZ/3edFewFD7yDiWdRFcbYb4MQDixx6uG0hRB2jSsRWtjzvvuBiIH5lB0OU95rAMxbWT5wjXsuLglQ5BFScCED8GQPyoITOjCk3aAMqJVPtyxI9sHjjmtWpkPQVTdE3RPiSgjq0lSw6bl7nBJV8QPwZA/FSP0A03TTSqvtvLRh5kPT02vWh58Ye+L2lwtKlGWtnZflLI94MGptf6jNMmnNtBll0qk19XeYL4MQDihzc2O3PWM2oGy14q+O6odTwqNtIqA0VLurJhTdPnWq5c7YoR32UZYvweJIQQVAL6+/upq6uL+vr6qLOzM7Q5LJjQ+zjtWzGHJvQ+TkRE+1bMCWyRH2TzWysfq7z5JtEZZ5z++9gxoo6O3PSJeN6XxrrD0T5gl7S+QqV+uqoveTZk2cq5XXEkq7x8lmmQ8dubzHIMPD/q6C6DhPK+mK7dZ9mcNWvWymOD56dn8QZWs1HsObIHS69jCqZtxWbaHDxHXPc3+oZb3rHsZQDED2CxxyCyZa8augMTh07U9z4LF0u4Rf9zKGeuuKq7spMg0/1ULvfjxVJvIH4MgPgpB7WOINpOP+H5EcJdHkw3Oat68KK7Fx7gUk9DeqJ8lYFMfXXhkbbl6ZYpJ5X4y7RfDuLHgDKJn9AdqS42Zq1ZHY1JHDYpjC/D8xPa1a/a8eoIodCDr43wsbY9V/j0pGX91okrLw0b6cikaSsN33UyRBuA+DGgTOInJnQGHm6N2eps0XDZS9Vb45OigcVmGmkiOER+8+xptBfkE0JEyabvo167jNMVPm2F+DEA4ic8IV3vSTtqv73b43HPD4eyViVGm13Apa3YRtdT6xKZ+FWXmmzdP5deLlObbMUnQzTiZ9WqVWLChAmivb1dTJs2TWzdujUz7MaNG8WHP/xhMWrUKDFixAhxySWXiCeffLIpzJo1awQRDfj51a9+JW0TxI8bMMNVJNINz41wuNchbFDxunEixGBlio8lp5Bk3ZNQ9dpFWJtEIX7Wr18vhgwZIu677z6xZ88esXDhQtHR0SH279+fGn7hwoXiC1/4gnjuuefE3r17xe233y6GDBkidu7cWQ+zZs0a0dnZKQ4fPtz0o0KVxY/ufhgbaXLtfFSwmocC8eNqcFW9ltN9M9lnFCO6e4645V+3D5BZnuKW1yJceJtl4pItS+7lGYX4ufjii8WCBQuaPuvp6RG9vb3ScUyZMkV89rOfrf+/Zs0a0dXVpWpKE1UWP0LI70/wNeMK3dh0O2RTGl9vUXvaizMxdIygmTSvAud72Ggbd1uFcLM52WW+bcStuuxnG/bi5/jx46KlpUVs2rSp6fNbbrlFXHHFFVJxnDx5UowbN058+ctfrn+2Zs0a0dLSIsaPHy/OOeccMWfOnCbPkAxVFz86ZAkjmevS4tC1wQY218yNrrO87GVbZNruvNLuf1q94j7g+cJnOXAqd5t2hK7zvondfhnYi59Dhw4JIhLPPPNM0+d33XWXOO+886Ti+Lu/+zsxcuRI8bOf/az+2fbt28UDDzwgdu/eLbZu3So+8YlPiGHDhom9e/dmxvPWW2+Jvr6++s/BgwchfhgSkxvfChbFj43ZXOxlbDsPsZeHDBzyaOJJcGl/lve7DG0lZqIRP9u2bWv6/M477xSTJk0qvH7t2rVi+PDhYvPmzbnhTp48KS644AJx8803Z4ZZunRp6iZpiB+ggoybWqZTrIUveqs7Olm7y68+4WZryKUKbmXBGR913beItA178WOy7LV+/XoxbNgw8dhjcjfkhhtuELNmzcr8Hp6fcpPVmNlv4kt4frJmmbawXSZcypflvdUgT1zrxBNTuchOLIrKyNd+mTyvUN73nJCdqNmMzwbsxY8Qpzc833jjjU2fTZ48OXfD89q1a8XQoUPFI488IpXGqVOnxEUXXSSuv/56abuw5wfYwLixR/Coe9FgkraHRyVumWtCiCsf6anmi+sg6ousvWExlAuXiYIpHPIRhfipPep+//33iz179ohFixaJjo4OsW/fPiGEEL29vWLevHn18GvXrhWtra1i1apVTY+xv/HGG/Uwd9xxh3jyySfFT37yE7Fr1y5x/fXXi9bWVvHss89K2wXxw5MovDWGNOUpAvFji5hmxLaogsdGhmRbjjmfZe2XYiIK8SPE6UMOu7u7RVtbm5g2bZrYsmVL/bv58+eLGTNm1P+fMWNG6t6c+fPn18MsWrRIjB8/XrS1tYmzzjpLzJw5c8C+oiIgfuLseGrE5AXIGvS7b3tMSvygs82nLGXjY09O3rINN6+KyQZjnza7LKuy1G3bRCN+OALxU23YdCop4ifEoKPagbMpP0VisltlSdAHLtLhuvHWZV455E+VpCAuCusaiB8DIH70sbU0ZerR8NGZ2JzVpV7veNlLZnNo8nMfHghQTNpSUZHXxjQ9G5R92ToEVdgOoALEjwEQP3Jw22jK1fWtTYA9P0WCqCicShpOBCOwAgbR38LVK+N88hUpIcbvQUIIQSWgv7+furq6qK+vjzo7O0ObA0rAhN7HiYho34o5NKH38abfmbz5JtEZZ5z++9gxoo4OD5bGRWEZgkrArR7YtCfZd9T+bkxHN73kdcn4YyTI+O1NZjkGnh+Qh7cNnxmeH9uz8iyvTt5SSlY8ZZpB5lGWp5NswT3vqvZxzw/IBp4fA+D5sU8ZZhTeqYjnJ2vW6mM2bzpztpE+UdztInQZAjdk1c00L3by+5D1AJ4fA+D5qSbsZnuSj7pnUSVPDAc4lLVrG1zUKRmPosz1LuBwT0NgcwO17zLEhmcDIH7iweQRbG5nliRtaXy3V8/iDQNsTLObm+DhZk9oQpaHyZOXtd+u20pe+cjWc+5iSMZ2kyctqw7EjwEQP+4JLTiiIPAJz6ZHFdgMZ+s6IE8sA27ahMBWfCZhk6IRfd5pXOcf4scAiJ/yElXHU6LXW8gsXcRwbzjZaGMwDXVUhU66Lr1NsRGjzTVci0CIHwMgfsIiu4QVcwcgRcZb3WvEOJNMszUm+03hWG8bPRMc7TMhhrzY2lNjQ1hmPeEZE3jaywA87cWb0E8TeMPC0155Z4RUjbT8Z5VP1csKAFNC9dN42ssAeH6AKslZkpXZU4mWvUAxMjN3mzNxmX0oed9z9zzGtBzoCtd77zgCz48B8PzwxOZs3NasJM8m4/NPND0/ZfWMlTVfXGgs3yqWda0t18jLf8jyqeK9USHE+A3xA4xx3bBlBYmOHdZtr8ghh7ZJu8dYxoobDPhAFogfAyB+3IKOrJgJvY/Tvr/5XWvih+Pgj3rgB5flzOkeujxpmmP70cXVPeOyZy7E+D3YSyogesrQgbjGdhntWzGHXblzs6eI5LKI7Heh8DUA+cp7UTo6ntq0z2qfN36fbD+NYdLCF32fZY9sWBNc1YfGMoqtbRvjbXeRY7DhGbAgZcOz68PSbMVpe7OpygneZdq8GYq8R5+zHof2eZCf68exUZfiBef8GADxA/JQOdW1KHwuJXnaS6dM8p4+4jAw2Rh0fdnPpcx8UvT0WhXgfE6PS7vwtJcB2PNTXVhsdK7hecMzp/0b4Leo3JfQ9zBvuSZ03WrcE1SzJ3R5haJMe5iS4JwfA+D5qR4sZ0gl8fyYYPvkWZ8n2Nr2tsTgweFun2/STmVXPcFe577bKH/TdhYKeH4MgOcH6BDjo+5VnfkCc7h5D7jZA8KAp70AUMT0CQsOnW7jEyMyNC4DcCX5FIzMkzTc8qR6X2KBU/3JeqIxr+zT6pJPylovqgY8P4ANNj0awfYIYM+PdaqQxxCoel18HGaqYg83Yqqn3GzFIYcGQPzwglvjIsq3yZq9JTvhOfYBqWyEaFeu60Banjj2H0XI2Iz2lA7EjwEQP4AFCuInxg4euMN3fcgTHaFFFse24dMmlyKJY9lC/BgA8RMHITp4Io8zLYeen7THfoE5IQf8qsBd2ICwQPwYAPEDWHSqFsSPr3zEJqK8LFsyxoWAUHkrukqcNvfumcTFsV64eo+Zyt6tGlzKBuf8GIBzfqqD6lkWPk9N7Vm8oZLn/Ph6XYKtdHyeacLp/BxOtmTBxcbQ5+5UCbzewgCIH8ACpocchuyEkyKlyoNBFcogLY/c8m3r0EzTAwV1DkbkUoY2gfgxAOKnGnDrRAfAVPzU8HlaMhiI6vvRYn3fFYd3qMVwurZNYm7POOHZAOz5ASwo2aPuIDw+9q1w3BsTI8lyDFWuse3nwwnPABC/k34BKCLv5OrGz1RPLnY5eHLY+BqyrbtIO1mOoco16+Rs0IA3H5NjsOwFdLC+BMRk2StvuUT2JY1Aj5jKLiZbZZCp367208jscdJ52WkMLwQ2BXt+DID4AULIdSpOOwEm4oc7Ops8ue/f8G0X13LwhezA7utJxBBwFzWyQPwYAPFTHXQfbfbSSeSIHxuzytAdXSwzyaIBL+8pGx9lHar8XKarevwEMIN1P6gINjwbgA3P5SS2jXsyG56z8qS7vyO5dyPtMLwYNrRytpGzbWUCB3zywlf/gUMODYDnB7AAy17GpM1Mfc1WY/FsmVJFL41OnjnlvchTGTNY9jIA4qfasOkAIH6M0DkQkc29LwEcB32g1g5iFERY9jIAy16ABR7P+SnLUkxZ8pFFTEuPnEB5VQec8wMAkCbvJZ8xUfYBrpa/onzmnROUDBM7eecd1QhdL5L3oyxlD04Dzw8ANonghOdGTwRR+EGmrLg+oDB5knAjZb6nafU36V1zXbd9HD5Z5nuYJMT4DfEDjMjqiLL+jq1BK9usIH5iLI+ywLnsbdrm8hRn3+28bKKAcx30DZ72MgAbngELGjY89yzeEMwMWy+GrP2ObQNljbIecFe2/KgSKs+hz4QqQ5tMAxueDYDnB7DA07IXNtH6g3MZm9jGPV9JuNoKzMGGZwCAFLKbaPMo2sCZfMEm942fruzyeeieKia2qVwr82JWE5Lx117M2fgTC7rl47pcQTPw/ACgQOFsOYINz4AHjXWpqF6peml8npQMD6QfYt8/mQc2PBsA8eOGtKcoytTorBOx+CnavF4l0p6mKttmfk6g/KoNxI8BED+ABYzET9kHFJknDGvhylwOPsh7vLzoulp4ALKA+DEA4gewgJH4AXL49mra8rBB1NkBXu3wYMMzAAr43MzHacOgrc2nOuUXw8ZnVUw2j5uUQeNGXp1NvRiozWjcXE2E8qwa8PwAYBMmnp80r0KNtFkuZr3xgntnRpbnB+XqDyx7GQDxA1jARPzESlkGnOSTXETYGK2Kj9eDhLwfOq/iKGv9gfgxAOIHsADiBziirAMfByEiQ4ybt2M5LBLixwCIH8CChPiZ8Ln/sNLZlPXdaQDIEOqogdBtKnT6voD4MQDiJz5im0lJdUSSnh8XnVrWI94QSH4oY3nHbr8sOktQwB4QPwZA/FQX01mh1Q4ey14AlBqd/iJmEenDdjzqDoAGWY8Lyz7CGmunBH5LTO8gs02s+Uy7TzHkRae/4NDHhHh/HGfg+QHAJo72/ABQVcq0jMgF3TJ1Vf7ReH5Wr15NEydOpKFDh9L06dPp6aefzgy7adMm+shHPkJnnXUWdXZ20qWXXkr/9m//NiDcxo0bacqUKdTe3k5TpkyhRx55RMc0ALRxMeuMpaO2dXAiB2K3HzTXx+RhkMAc3TItU/kri5+HHnqIFi1aREuWLKFdu3bR5ZdfTrNnz6YDBw6kht+6dSt95CMfoSeeeIJ27NhBH/zgB+ljH/sY7dq1qx5m+/btNHfuXJo3bx49//zzNG/ePLr66qvp2Wef1c8ZAIpwatjJ5RvXA7rJScM6uFya4nQfq4iNeqszMJdJwAP3KC97ve9976Np06bRPffcU/9s8uTJdNVVV9Hy5cul4jj//PNp7ty59Ld/+7dERDR37lzq7++nb33rW/Uws2bNojPPPJPWrVsnFSeWvQALsOHZCCxr2IHLU0uxnOEDwsJ+2evEiRO0Y8cOmjlzZtPnM2fOpG3btknFcerUKTp69CiNHDmy/tn27dsHxHnllVfmxnn8+HHq7+9v+gEA6MFlo3DjY/qYvevjy4MnY0fjbwC4oCR+XnvtNTp58iSNHj266fPRo0fTkSNHpOL44he/SG+++SZdffXV9c+OHDmiHOfy5cupq6ur/jNu3DiFnAAAGrG9r8JUuCRfDVEWypYfEAbf9aiM9VZrw/OgQYOa/hdCDPgsjXXr1tEdd9xBDz30EJ199tlGcd5+++3U19dX/zl48KBCDgAoRnYPQeP3k//mSS+25dnCARsCiov3QhaZfVpF503lXZtXD33vEZNFxQ4OnsdY8N0uYmqH0ggFjh8/LlpaWsSmTZuaPr/lllvEFVdckXvt+vXrxbBhw8Rjjz024Ltx48aJlStXNn22cuVKMX78eGnb+vr6BBGJvr4+6WsAsM6xY0IQnf45diy0Nd7ovm1gu44l3e7bHpOORyVsaGKyFVSbEOO31obn6dOn0+rVq+ufTZkyhf7wD/8wc8PzunXr6DOf+QytW7eOrrrqqgHfz507l44ePUpPPPFE/bPZs2fT7/zO72DDM2BH7uZNbHgGAAAl2G94JiK69dZb6Z/+6Z/oa1/7Gr300ku0ePFiOnDgAC1YsICITi9HXXfddfXw69ato+uuu46++MUv0iWXXEJHjhyhI0eOUF9fXz3MwoUL6dvf/jZ94QtfoB/96Ef0hS98gZ566ilatGiReQ6BM5Lu6aq4q0vpAgYAsFw6lCHrhPOY8uAdHXfRqlWrRHd3t2hraxPTpk0TW7ZsqX83f/58MWPGjPr/M2bMEEQ04Gf+/PlNcT788MNi0qRJYsiQIaKnp0ds3LhRySYsewEhml39Qdz+FV32AuWjsR2FhpMtwD5RLHtxBctegAVY9mrC1fkuVTk3RiafVSkLUF6iWPYCwAZwx1YDV4NyVQZ7mXxyKoui5Rdf50mF7l+4nJsFsoHnBwCbwPMDHCD7IsqyeYF0TqpuLINkuWX9bVpmZSt334QYvyF+ALCJJfHT+FoAouZOGh0tL3A/gC/KWtcgfgyA+AEsgOdHCi7vnio7Ics5xECdNWlo/Bt1Tg+XZQfxYwDED2ABxA8ArEQGJ1tiwqenGRueAXAENh+aw+3ckNC2hE4/DS42cRIbnGyJibK/lBaeH+CV5GbE0rmi4fkBAAAl4PkBpadR5JR9ZhEjXDwHPqhSXgGQoUqP6MPzA4BN4PkBAAAl4PkBlSfEgWi64D068cG5PgEA/AHPDwA2gecHlBiZR8lrfyevawyDpW45qlJWeNTdAIgfwIIG8TN58Qb6VdvQ3EGBK7KdblU6Z8CLvENAQXxA/BgA8QNYAM8PKzAgnqYM5VDKp0M9EMPEC+LHAIif8qPa6QXpJCF+AGCNTr8Qg4CIGWx4BiAH1Y4HHRVQJbaN0DHYy+2hAJ1+Yd+KOc77E27lVHbg+QHAJvD8AAZgLwxPZDaHVxEsexkA8QNYAPEDLIHBERCZ7XWKRWxB/BgA8QNYAPEDFIGXxj3YLM0biB8DIH4ACyB+Kk0sM20AOAHxYwDED2ABxA8ApQai1j542gsAAAARDXz6B08A8cDHk1++qHKdgucHAJsw9Pxgn0M4OHkJONkCmql6G4XnBwCgTNH5IFXuVGVw6VVp9BLopmHLtjJ5LEzg+OJk2fsS2s4yAc8PADZh6PkBAADOwPMDAAAAAOAYiB8AACgBWBIBQB6IHwAAiAjs7QLAHIgfAByDFxYCm2DjMgDmYMMzADbBhmcAAFACG54BAACAiIA3N04gfgAA0YEBB3ABS5BxAvEDAIiO2AYc7PcCgBetoQ0AAICyE5tYA6DswPMDAAAAgEoB8QMAAACASgHxAwAICvbDAAB8gz0/AICgYD8MAMA38PyA0gOvAgAAgEYgfkDpgWcBAACyaVx6zvq7bOD1FgDYBK+3cMqE3schZgEoGXi9BQAA5ADhAwCwAcQPAAAAAJoo63JXDYgfAEAUVGUvAgAcKLuXFXt+ALAJ9vwAAIAS2PMDAAAAAOAYiB/AAixhAAAA8AXED2BB2deXAQAA8AHiBwAAAACVAuIHAAAAAJUC4gcAAADQAHsV4wXiBwAAANAAexXjBeIHAAAAAJUC4gcAADySPKkaAOAfnPAMgE1wwjMAACiBE54BAAAA5sBjFz8QPwAAAIAC2OgcPxA/AAAAAKgUWuJn9erVNHHiRBo6dChNnz6dnn766cywhw8fpk996lM0adIkGjx4MC1atGhAmK9//es0aNCgAT9vvfWWjnkAAAAAAJkoi5+HHnqIFi1aREuWLKFdu3bR5ZdfTrNnz6YDBw6khj9+/DidddZZtGTJErrgggsy4+3s7KTDhw83/QwdOlTVPAAAAACAXJTFz8qVK+lP//RP6YYbbqDJkyfTl770JRo3bhzdc889qeEnTJhA//AP/0DXXXcddXV1ZcY7aNAgGjNmTNMPAAAAAIBtlMTPiRMnaMeOHTRz5symz2fOnEnbtm0zMuTYsWPU3d1N5557Ln30ox+lXbt25YY/fvw49ff3N/0AAAAAABShJH5ee+01OnnyJI0ePbrp89GjR9ORI0e0jejp6aGvf/3r9Oijj9K6deto6NCh9P73v59+/OMfZ16zfPly6urqqv+MGzdOO30AAAAAVAetDc+DBg1q+l8IMeAzFS655BK69tpr6YILLqDLL7+c/uVf/oXOO+88+vKXv5x5ze233059fX31n4MHD2qnDwAAAIDq0KoSeNSoUdTS0jLAy/Pqq68O8AaZMHjwYHrve9+b6/lpb2+n9vZ2a2kCAAAAoBooeX7a2tpo+vTptHnz5qbPN2/eTJdddpk1o4QQtHv3bnr7299uLU4AAAAAACJFzw8R0a233krz5s2jiy66iC699FK699576cCBA7RgwQIiOr0cdejQIfrnf/7n+jW7d+8motObmn/+85/T7t27qa2tjaZMmUJERJ/97GfpkksuoXe+853U399Pd999N+3evZtWrVplIYsAAAAAAL9FWfzMnTuXfvGLX9CyZcvo8OHDNHXqVHriiSeou7ubiE4fapg88+fCCy+s/71jxw5au3YtdXd30759+4iI6I033qA/+7M/oyNHjlBXVxddeOGFtHXrVrr44osNsgYAAAAAMBC81R0Am+Ct7gAAoATe6g4AAAAA4BiIHwAAAABUCogfAAAAAFQK5Q3PXKltXcJrLkBQ3nzzt3/39xOdPBnOFgAAiIDauO1zC3JpxM/Ro0eJiPCaC8CHsWNDWwAAANFw9OjR3Beg26Q0T3udOnWKXnnlFRoxYoTRqzaS9Pf307hx4+jgwYN4iswjKPcwoNzDgHIPA8o9DMlyF0LQ0aNHaezYsTR4sJ/dOKXx/AwePJjOPfdcZ/F3dnaicQQA5R4GlHsYUO5hQLmHobHcfXl8amDDMwAAAAAqBcQPAAAAACoFxE8B7e3ttHTpUrxB3jMo9zCg3MOAcg8Dyj0MHMq9NBueAQAAAABkgOcHAAAAAJUC4gcAAAAAlQLiBwAAAACVAuIHAAAAAJUC4qeA1atX08SJE2no0KE0ffp0evrpp0ObFAXLly+n9773vTRixAg6++yz6aqrrqL//u//bgojhKA77riDxo4dS8OGDaPf/d3fpR/+8IdNYY4fP04333wzjRo1ijo6OugP/uAP6H//93+bwrz++us0b9486urqoq6uLpo3bx698cYbrrMYBcuXL6dBgwbRokWL6p+h3N1w6NAhuvbaa+ltb3sbDR8+nN7znvfQjh076t+j3O3zm9/8hv76r/+aJk6cSMOGDaN3vOMdtGzZMjp16lQ9DMrdnK1bt9LHPvYxGjt2LA0aNIi++c1vNn3vs4wPHDhAH/vYx6ijo4NGjRpFt9xyC504cUI9UwJksn79ejFkyBBx3333iT179oiFCxeKjo4OsX///tCmsefKK68Ua9asES+++KLYvXu3mDNnjhg/frw4duxYPcyKFSvEiBEjxMaNG8ULL7wg5s6dK97+9reL/v7+epgFCxaIc845R2zevFns3LlTfPCDHxQXXHCB+M1vflMPM2vWLDF16lSxbds2sW3bNjF16lTx0Y9+1Gt+OfLcc8+JCRMmiHe/+91i4cKF9c9R7vb5v//7P9Hd3S3+5E/+RDz77LPi5ZdfFk899ZT4n//5n3oYlLt97rzzTvG2t71NPPbYY+Lll18WDz/8sDjjjDPEl770pXoYlLs5TzzxhFiyZInYuHGjICLxyCOPNH3vq4x/85vfiKlTp4oPfvCDYufOnWLz5s1i7Nix4qabblLOE8RPDhdffLFYsGBB02c9PT2it7c3kEXx8uqrrwoiElu2bBFCCHHq1CkxZswYsWLFinqYt956S3R1dYl//Md/FEII8cYbb4ghQ4aI9evX18McOnRIDB48WDz55JNCCCH27NkjiEh8//vfr4fZvn27ICLxox/9yEfWWHL06FHxzne+U2zevFnMmDGjLn5Q7m647bbbxAc+8IHM71HubpgzZ474zGc+0/TZH/3RH4lrr71WCIFyd0FS/Pgs4yeeeEIMHjxYHDp0qB5m3bp1or29XfT19SnlA8teGZw4cYJ27NhBM2fObPp85syZtG3btkBWxUtfXx8REY0cOZKIiF5++WU6cuRIU/m2t7fTjBkz6uW7Y8cO+vWvf90UZuzYsTR16tR6mO3bt1NXVxe9733vq4e55JJLqKurq9L36c///M9pzpw59OEPf7jpc5S7Gx599FG66KKL6I//+I/p7LPPpgsvvJDuu++++vcodzd84AMfoH//93+nvXv3EhHR888/T9/73vfo93//94kI5e4Dn2W8fft2mjp1Ko0dO7Ye5sorr6Tjx483LTHLUJoXm9rmtddeo5MnT9Lo0aObPh89ejQdOXIkkFVxIoSgW2+9lT7wgQ/Q1KlTiYjqZZhWvvv376+HaWtrozPPPHNAmNr1R44cobPPPntAmmeffXZl79P69etp586d9J//+Z8DvkO5u+GnP/0p3XPPPXTrrbfSX/3VX9Fzzz1Ht9xyC7W3t9N1112HcnfEbbfdRn19fdTT00MtLS108uRJuuuuu+iTn/wkEaG++8BnGR85cmRAOmeeeSa1tbUp3weInwIGDRrU9L8QYsBnIJ+bbrqJfvCDH9D3vve9Ad/plG8yTFr4qt6ngwcP0sKFC+nb3/42DR06NDMcyt0up06doosuuog+//nPExHRhRdeSD/84Q/pnnvuoeuuu64eDuVul4ceeoi+8Y1v0Nq1a+n888+n3bt306JFi2js2LE0f/78ejiUu3t8lbGt+4BlrwxGjRpFLS0tA9Tkq6++OkB5gmxuvvlmevTRR+m73/0unXvuufXPx4wZQ0SUW75jxoyhEydO0Ouvv54b5mc/+9mAdH/+859X8j7t2LGDXn31VZo+fTq1trZSa2srbdmyhe6++25qbW2tlwnK3S5vf/vbacqUKU2fTZ48mQ4cOEBEqO+u+Iu/+Avq7e2la665ht71rnfRvHnzaPHixbR8+XIiQrn7wGcZjxkzZkA6r7/+Ov36179Wvg8QPxm0tbXR9OnTafPmzU2fb968mS677LJAVsWDEIJuuukm2rRpE33nO9+hiRMnNn0/ceJEGjNmTFP5njhxgrZs2VIv3+nTp9OQIUOawhw+fJhefPHFephLL72U+vr66LnnnquHefbZZ6mvr6+S9+lDH/oQvfDCC7R79+76z0UXXUSf/vSnaffu3fSOd7wD5e6A97///QOOcti7dy91d3cTEeq7K375y1/S4MHNw1hLS0v9UXeUu3t8lvGll15KL774Ih0+fLge5tvf/ja1t7fT9OnT1QxX2h5dMWqPut9///1iz549YtGiRaKjo0Ps27cvtGnsufHGG0VXV5f4j//4D3H48OH6zy9/+ct6mBUrVoiuri6xadMm8cILL4hPfvKTqY9HnnvuueKpp54SO3fuFL/3e7+X+njku9/9brF9+3axfft28a53vasyj6DK0Pi0lxAodxc899xzorW1Vdx1113ixz/+sXjwwQfF8OHDxTe+8Y16GJS7febPny/OOeec+qPumzZtEqNGjRJ/+Zd/WQ+Dcjfn6NGjYteuXWLXrl2CiMTKlSvFrl276se++Crj2qPuH/rQh8TOnTvFU089Jc4991w86u6CVatWie7ubtHW1iamTZtWf1Qb5ENEqT9r1qyphzl16pRYunSpGDNmjGhvbxdXXHGFeOGFF5ri+dWvfiVuuukmMXLkSDFs2DDx0Y9+VBw4cKApzC9+8Qvx6U9/WowYMUKMGDFCfPrTnxavv/66h1zGQVL8oNzd8K//+q9i6tSpor29XfT09Ih777236XuUu336+/vFwoULxfjx48XQoUPFO97xDrFkyRJx/PjxehiUuznf/e53U/vz+fPnCyH8lvH+/fvFnDlzxLBhw8TIkSPFTTfdJN566y3lPA0SQgg1XxEAAAAAQLxgzw8AAAAAKgXEDwAAAAAqBcQPAAAAACoFxA8AAAAAKgXEDwAAAAAqBcQPAAAAACoFxA8AAAAAKgXEDwAAAAAqBcQPAAAAACoFxA8AAAAAKgXEDwAAAAAqBcQPAAAAACrF/w8biWjQWDD3bAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -297,16 +434,55 @@ } ], "source": [ - "plt.plot(output[\"cosmological_parameters--omega_m\"], ',')\n", + "plt.plot(chain[\"cosmological_parameters--omega_m\"], ',')\n", "\n", "# The plot will show the chain is not burnt in until about 3000 samples\n", "burn = 3000\n", - "plt.axvline(burn, color='r')\n", - "chain = output[burn:]\n", + "plt.axvline(burn, color='r')" + ] + }, + { + "cell_type": "markdown", + "id": "978b93da", + "metadata": {}, + "source": [ + "It looks like the chain is settled after about 3000 samples. So let's make a histogram of the $\\Omega_m$ parameter from that point in the chain onwards; it should be a reasonable estimate of the posterior." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8ab7fefe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Cut out the start\n", + "chain1 = chain[burn:]\n", "\n", - "# A histogram shows us posterior constraints\n", + "# Make a plot\n", "plt.figure()\n", - "plt.hist(chain['cosmological_parameters--omega_m'], bins=25);" + "plt.hist(chain1['cosmological_parameters--omega_m'], bins=25);" + ] + }, + { + "cell_type": "markdown", + "id": "8373d8f9", + "metadata": { + "tags": [] + }, + "source": [ + "# Customizing runs" ] }, { @@ -314,11 +490,6 @@ "id": "51adf64d", "metadata": {}, "source": [ - "---\n", - "\n", - "Customizing runs\n", - "==============\n", - "\n", "We can modify the choices made in the analysis by changing the parameters or values\n", "\n", "The parameters configure the *pipeline*, *modules*, and the *sampler*. Here they read directly from `examples/pantheon.ini`\n", @@ -328,9 +499,100 @@ "Instead of having CosmoSIS read these from the file for us, we can also read them ourselves and modify them" ] }, + { + "cell_type": "markdown", + "id": "a626f8f5", + "metadata": {}, + "source": [ + "## Cosmosis configuration files" + ] + }, + { + "cell_type": "markdown", + "id": "03d60404", + "metadata": {}, + "source": [ + "A CosmoSIS run is defined by two required configuration files and one optional one. Each is in the ini file format, which has sections that define categories of parameters and then key/value pairs within each section.\n", + "\n", + "The **parameter file** (required) defines the sequence of calculations (modules) used int the analysis, the sampler settings, and configuration for each individual module.\n", + "\n", + "The **values file** (required) lists the numerical inputs that the sampler can vary. It defines the range of values they can take, and a starting point value.\n", + "\n", + "The **priors file** (optional) lists extra priors to apply to parameters.\n", + "\n", + "You tell CosmoSIS the parameter file. The parameter file contains the paths to the other two files. In our Pantheon case the parameter file is `examples/pantheon.ini` and the values file is `examples/pantheon_values.ini`. There is no priors file used here." + ] + }, { "cell_type": "code", "execution_count": 6, + "id": "4821f7cb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[cosmological_parameters]\n", + "omega_m = 0.15 0.3 0.4\n", + "h0 = 0.6 0.7 0.8\n", + "w = -1.0\n", + "omega_b = 0.04\n", + "omega_k = -0.3 0.0 0.3\n" + ] + } + ], + "source": [ + "# Let's look at the start of our values file here.\n", + "\n", + "!head -6 examples/pantheon_values.ini" + ] + }, + { + "cell_type": "markdown", + "id": "45fe208e", + "metadata": {}, + "source": [ + "Here the section is called `cosmological_parameters` and there are various parameters in that category listed." + ] + }, + { + "cell_type": "markdown", + "id": "2fe6c4e2", + "metadata": {}, + "source": [ + "## Exploring & modifying pipeline choices" + ] + }, + { + "cell_type": "markdown", + "id": "03fd8bc1", + "metadata": {}, + "source": [ + "Instead of giving CosmoSIS the path to the ini file, we can load it ourselves:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "61877ed7", + "metadata": {}, + "outputs": [], + "source": [ + "ini = cosmosis.Inifile(\"examples/pantheon.ini\")" + ] + }, + { + "cell_type": "markdown", + "id": "a2ce53ab", + "metadata": {}, + "source": [ + "Then we can explore its contents here:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "id": "45c7ff7b", "metadata": {}, "outputs": [ @@ -354,7 +616,6 @@ " riess21\n", " consistency\n", "\n", - "\n", "Options in the [camb] section, for example:\n", " file = boltzmann/camb/camb_interface.py\n", " mode = background\n", @@ -366,13 +627,12 @@ } ], "source": [ - "ini = cosmosis.Inifile(\"examples/pantheon.ini\")\n", - "\n", - "# Print a summary of the contents:\n", "print(\"Sections in the file:\")\n", "for section in ini.sections():\n", " print(\" \", section)\n", - "print(\"\\n\")\n", + "\n", + "print()\n", + "\n", "print(\"Options in the [camb] section, for example:\")\n", "for key, value in ini.items('camb'):\n", " print(\" \", key, \"=\", value)" @@ -383,12 +643,14 @@ "id": "fe0a68c9", "metadata": {}, "source": [ + "We can modify the content of the parameter file\n", + "\n", "Let's change to use a different sampler, called nautilus. You can override any of the values in the file easily enough, or add new ones:" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 17, "id": "43c2f66f", "metadata": {}, "outputs": [], @@ -400,7 +662,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 18, "id": "cdeb48d8", "metadata": { "scrolled": true @@ -439,7 +701,7 @@ "cosmological_parameters--tau ~ delta(0.08)\n", "supernova_params--m ~ U(-21.0, -18.0)\n", "\n", - "*******************************\n", + "****************************************************\n", "* Running sampler 1/1: nautilus\n", "* Running in serial mode.\n", "****************************************************\n", @@ -447,6 +709,14 @@ " - pantheon\n", " - riess21\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Total posterior evaluations = 32900 across all processes\n", + "Successful posterior evaluations = 32900 across all processes\n" + ] } ], "source": [ @@ -458,7 +728,7 @@ "id": "60ce9667", "metadata": {}, "source": [ - "We can now do some much nicer looking plots and results, but note the weights for this." + "The nautilus sampler takes a little longer but generates a very clean posterior sample. Note that there is a new `log_weight` column for this sample - we need to use this weight when making constraints." ] }, { @@ -471,7 +741,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "
\n", + "
\n", " name dtype \n", "-------------------------------- -------\n", "cosmological_parameters--omega_m float64\n", @@ -489,6 +759,14 @@ "chain2.info()" ] }, + { + "cell_type": "markdown", + "id": "6d7ababd", + "metadata": {}, + "source": [ + "Let's compare to our emcee histogram using the new samples. Nautilus doesn't have a burn-in period in the output." + ] + }, { "cell_type": "code", "execution_count": 14, @@ -497,7 +775,17 @@ "outputs": [ { "data": { - "image/png": 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kKBQKRW0ul2t0owIAAFNKot0dnnvuOS1fvlwrVqyQJG3ZskX79u3Ttm3bVFNTE1Pf0NCgGTNmaMuWLZKk/Px8HTx4UJs3b9aSJUsidQ6HQ5mZmaMcBgAAmMpsrbAMDg7q0KFD8nq9Ue1er1cdHR1x9wkEAjH1xcXFOnjwoIaGhiJtH3zwgXJycnTLLbfoG9/4hoLB4AX7MjAwoP7+/qgNAABMTbYCS29vr4aHh5WRkRHVnpGRoXA4HHefcDgct/7MmTPq7e2VJM2aNUsvvPCC9u7dq927d8vlcmn+/Pl6++23R+xLTU2NUlNTI1t2dradoQAAgElkVDfdOhyOqNeWZcW0Xaz+k+133XWXHn30UX3pS1+Sx+PRT37yE33+85/X888/P+IxKysr1dfXF9mOHz8+mqEAAIBJwNY9LOnp6UpISIhZTTl58mTMKsp5mZmZcesTExOVlpYWd59p06bpy1/+8gVXWJxOp5xOp53uAwCAScrWCktycrLcbrfa2tqi2tva2jRv3ry4+xQVFcXUt7a2qrCwUElJSXH3sSxLnZ2dmj59up3uAQCAKcr2JaHy8nLt3LlTTU1N6urqUllZmXp6euTz+SSdu1SzbNmySL3P59OxY8dUXl6urq4uNTU1qbGxUatXr47UbNiwQfv27dO7776rzs5OLV++XJ2dnZFjAgCAq5vtrzWXlJTo1KlTqq6uVigUUkFBgfx+v3JyciRJoVAo6pksubm58vv9KisrU11dnbKyslRbWxv1leb3339f3/rWtxQOh5Wamqo77rhD//7v/64777xzDIYIAAAmO4d1/g7YSa6/v1+pqanq6+tTSkrKRHcHMNrMipcnugsAxsnRTYsmugu2XOrnt+0VFgAAYK7x+j8kEx2E+PFDAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYLzEie4AgPhmVrw80V0AAGOwwgIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8UYVWOrr65WbmyuXyyW326329vYL1u/fv19ut1sul0t5eXlqaGgYsfall16Sw+HQ4sWLR9M1AAAwBdkOLM3NzSotLVVVVZWCwaA8Ho8WLFignp6euPXd3d1auHChPB6PgsGg1q5dq5UrV6qlpSWm9tixY1q9erU8Ho/9kQAAgCnLdmB57rnntHz5cq1YsUL5+fnasmWLsrOztW3btrj1DQ0NmjFjhrZs2aL8/HytWLFCf/M3f6PNmzdH1Q0PD+uv/uqvtGHDBuXl5Y1uNAAAYEqyFVgGBwd16NAheb3eqHav16uOjo64+wQCgZj64uJiHTx4UENDQ5G26upq3XTTTVq+fPkl9WVgYED9/f1RGwAAmJpsBZbe3l4NDw8rIyMjqj0jI0PhcDjuPuFwOG79mTNn1NvbK0l67bXX1NjYqB07dlxyX2pqapSamhrZsrOz7QwFAABMIqO66dbhcES9tiwrpu1i9efbT58+rUcffVQ7duxQenr6JfehsrJSfX19ke348eM2RgAAACaTRDvF6enpSkhIiFlNOXnyZMwqynmZmZlx6xMTE5WWlqY333xTR48e1X333Rd5/+zZs+c6l5iot956S7feemvMcZ1Op5xOp53uAwCAScrWCktycrLcbrfa2tqi2tva2jRv3ry4+xQVFcXUt7a2qrCwUElJSZo1a5Z+97vfqbOzM7J985vf1J/92Z+ps7OTSz0AAMDeCosklZeXa+nSpSosLFRRUZG2b9+unp4e+Xw+Secu1Zw4cUK7du2SJPl8Pm3dulXl5eV64oknFAgE1NjYqN27d0uSXC6XCgoKov7G9ddfL0kx7QAA4OpkO7CUlJTo1KlTqq6uVigUUkFBgfx+v3JyciRJoVAo6pksubm58vv9KisrU11dnbKyslRbW6slS5aM3SgAAMCU5rDO3wE7yfX39ys1NVV9fX1KSUmZ6O4Al21mxcsT3QUAiDi6adG4HPdSP7/5LSEAAGA8AgsAADAegQUAABiPwAIAAIxn+1tCAKJxcywAjD9WWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYLxRBZb6+nrl5ubK5XLJ7Xarvb39gvX79++X2+2Wy+VSXl6eGhoaot7fs2ePCgsLdf311+vaa6/V7bffrh/+8Iej6RoAAJiCbAeW5uZmlZaWqqqqSsFgUB6PRwsWLFBPT0/c+u7ubi1cuFAej0fBYFBr167VypUr1dLSEqm58cYbVVVVpUAgoP/8z//U448/rscff1z79u0b/cgAAMCU4bAsy7Kzw9y5czVnzhxt27Yt0pafn6/FixerpqYmpn7NmjXau3evurq6Im0+n0+HDx9WIBAY8e/MmTNHixYt0jPPPHNJ/erv71dqaqr6+vqUkpJiY0TA5ZlZ8fJEdwEAxt3RTYvG5biX+vlta4VlcHBQhw4dktfrjWr3er3q6OiIu08gEIipLy4u1sGDBzU0NBRTb1mW/vVf/1VvvfWWvvrVr47Yl4GBAfX390dtAABgarIVWHp7ezU8PKyMjIyo9oyMDIXD4bj7hMPhuPVnzpxRb29vpK2vr09/8id/ouTkZC1atEjPP/+87r333hH7UlNTo9TU1MiWnZ1tZygAAGASGdVNtw6HI+q1ZVkxbRer/3T7ddddp87OTv3Hf/yHnn32WZWXl+uVV14Z8ZiVlZXq6+uLbMePHx/FSAAAwGSQaKc4PT1dCQkJMaspJ0+ejFlFOS8zMzNufWJiotLS0iJt06ZN0+c+9zlJ0u23366uri7V1NToa1/7WtzjOp1OOZ1OO90HAACTlK3AkpycLLfbrba2Nj3wwAOR9ra2Nt1///1x9ykqKtIvf/nLqLbW1lYVFhYqKSlpxL9lWZYGBgbsdA8YETfGAsDkZiuwSFJ5ebmWLl2qwsJCFRUVafv27erp6ZHP55N07lLNiRMntGvXLknnvhG0detWlZeX64knnlAgEFBjY6N2794dOWZNTY0KCwt16623anBwUH6/X7t27Yr6JhIAALh62Q4sJSUlOnXqlKqrqxUKhVRQUCC/36+cnBxJUigUinomS25urvx+v8rKylRXV6esrCzV1tZqyZIlkZoPP/xQf/u3f6v//u//1jXXXKNZs2bpRz/6kUpKSsZgiAAAYLKz/RwWU/EcFlwIl4QA4PJMquewAAAATAQCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADBe4kR3ADhvZsXLE90FAIChWGEBAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHijCiz19fXKzc2Vy+WS2+1We3v7Bev3798vt9stl8ulvLw8NTQ0RL2/Y8cOeTwe3XDDDbrhhht0zz336MCBA6PpGgAAmIJsB5bm5maVlpaqqqpKwWBQHo9HCxYsUE9PT9z67u5uLVy4UB6PR8FgUGvXrtXKlSvV0tISqXnllVf08MMP69/+7d8UCAQ0Y8YMeb1enThxYvQjAwAAU4bDsizLzg5z587VnDlztG3btkhbfn6+Fi9erJqampj6NWvWaO/everq6oq0+Xw+HT58WIFAIO7fGB4e1g033KCtW7dq2bJll9Sv/v5+paamqq+vTykpKXaGBEPMrHh5orsAABjB0U2LxuW4l/r5bWuFZXBwUIcOHZLX641q93q96ujoiLtPIBCIqS8uLtbBgwc1NDQUd5+PPvpIQ0NDuvHGG0fsy8DAgPr7+6M2AAAwNdkKLL29vRoeHlZGRkZUe0ZGhsLhcNx9wuFw3PozZ86ot7c37j4VFRW6+eabdc8994zYl5qaGqWmpka27OxsO0MBAACTyKhuunU4HFGvLcuKabtYfbx2Sfrud7+r3bt3a8+ePXK5XCMes7KyUn19fZHt+PHjdoYAAAAmkUQ7xenp6UpISIhZTTl58mTMKsp5mZmZcesTExOVlpYW1b5582Zt3LhRv/71r/XFL37xgn1xOp1yOp12ug8AACYpWyssycnJcrvdamtri2pva2vTvHnz4u5TVFQUU9/a2qrCwkIlJSVF2r73ve/pmWee0a9+9SsVFhba6RYAAJjibF8SKi8v186dO9XU1KSuri6VlZWpp6dHPp9P0rlLNZ/8Zo/P59OxY8dUXl6urq4uNTU1qbGxUatXr47UfPe739W6devU1NSkmTNnKhwOKxwO64MPPhiDIQIAgMnO1iUhSSopKdGpU6dUXV2tUCikgoIC+f1+5eTkSJJCoVDUM1lyc3Pl9/tVVlamuro6ZWVlqba2VkuWLInU1NfXa3BwUH/xF38R9bfWr1+vp59+epRDAwAAU4Xt57CYiuewTH48hwUAzDWpnsMCAAAwEQgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADCe7V9rBviRQgDAlcYKCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIw3qsBSX1+v3NxcuVwuud1utbe3X7B+//79crvdcrlcysvLU0NDQ9T7b775ppYsWaKZM2fK4XBoy5Yto+kWAACYomwHlubmZpWWlqqqqkrBYFAej0cLFixQT09P3Pru7m4tXLhQHo9HwWBQa9eu1cqVK9XS0hKp+eijj5SXl6dNmzYpMzNz9KMBAABTksOyLMvODnPnztWcOXO0bdu2SFt+fr4WL16smpqamPo1a9Zo79696urqirT5fD4dPnxYgUAgpn7mzJkqLS1VaWmpnW6pv79fqamp6uvrU0pKiq19Yc/MipcnugsAgCvs6KZF43LcS/38trXCMjg4qEOHDsnr9Ua1e71edXR0xN0nEAjE1BcXF+vgwYMaGhqy8+ejDAwMqL+/P2oDAABTk63A0tvbq+HhYWVkZES1Z2RkKBwOx90nHA7HrT9z5ox6e3ttdvePampqlJqaGtmys7NHfSwAAGC2Ud1063A4ol5blhXTdrH6eO12VFZWqq+vL7IdP3581McCAABmS7RTnJ6eroSEhJjVlJMnT8asopyXmZkZtz4xMVFpaWk2u/tHTqdTTqdz1PsDAIDJw9YKS3Jystxut9ra2qLa29raNG/evLj7FBUVxdS3traqsLBQSUlJNrsLAACuRrYvCZWXl2vnzp1qampSV1eXysrK1NPTI5/PJ+ncpZply5ZF6n0+n44dO6by8nJ1dXWpqalJjY2NWr16daRmcHBQnZ2d6uzs1ODgoE6cOKHOzk698847YzBEAAAw2dm6JCRJJSUlOnXqlKqrqxUKhVRQUCC/36+cnBxJUigUinomS25urvx+v8rKylRXV6esrCzV1tZqyZIlkZr33ntPd9xxR+T15s2btXnzZt1999165ZVXLmN4Vy++egwAmEpsP4fFVDyHJRqBBQAwlibVc1gAAAAmAoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxkuc6A5c7WZWvDzRXQAAwHissAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjMdzWC4Bz0oBAGBiscICAACMR2ABAADGG1Vgqa+vV25urlwul9xut9rb2y9Yv3//frndbrlcLuXl5amhoSGmpqWlRbNnz5bT6dTs2bP185//fDRdAwAAU5DtwNLc3KzS0lJVVVUpGAzK4/FowYIF6unpiVvf3d2thQsXyuPxKBgMau3atVq5cqVaWloiNYFAQCUlJVq6dKkOHz6spUuX6sEHH9Rvf/vb0Y8MAABMGQ7Lsiw7O8ydO1dz5szRtm3bIm35+flavHixampqYurXrFmjvXv3qqurK9Lm8/l0+PBhBQIBSVJJSYn6+/v1L//yL5Gar3/967rhhhu0e/fuS+pXf3+/UlNT1dfXp5SUFDtDuihuugUAXO2Oblo0Lse91M9vW98SGhwc1KFDh1RRURHV7vV61dHREXefQCAgr9cb1VZcXKzGxkYNDQ0pKSlJgUBAZWVlMTVbtmwZsS8DAwMaGBiIvO7r65N0buBj7ezAR2N+TAAAJpPx+Hz95HEvtn5iK7D09vZqeHhYGRkZUe0ZGRkKh8Nx9wmHw3Hrz5w5o97eXk2fPn3EmpGOKUk1NTXasGFDTHt2dvalDgcAAFyi1C3je/zTp08rNTV1xPdH9RwWh8MR9dqyrJi2i9V/ut3uMSsrK1VeXh55ffbsWf3f//2f0tLSLrifXf39/crOztbx48fH/FIT/oh5vnKY6yuDeb4ymOcrYzzn2bIsnT59WllZWRessxVY0tPTlZCQELPycfLkyZgVkvMyMzPj1icmJiotLe2CNSMdU5KcTqecTmdU2/XXX3+pQ7EtJSWF/zFcAczzlcNcXxnM85XBPF8Z4zXPF1pZOc/Wt4SSk5PldrvV1tYW1d7W1qZ58+bF3aeoqCimvrW1VYWFhUpKSrpgzUjHBAAAVxfbl4TKy8u1dOlSFRYWqqioSNu3b1dPT498Pp+kc5dqTpw4oV27dkk6942grVu3qry8XE888YQCgYAaGxujvv2zatUqffWrX9V3vvMd3X///frFL36hX//613r11VfHaJgAAGAysx1YSkpKdOrUKVVXVysUCqmgoEB+v185OTmSpFAoFPVMltzcXPn9fpWVlamurk5ZWVmqra3VkiVLIjXz5s3TSy+9pHXr1umpp57SrbfequbmZs2dO3cMhnh5nE6n1q9fH3P5CWOLeb5ymOsrg3m+MpjnK8OEebb9HBYAAIArjd8SAgAAxiOwAAAA4xFYAACA8QgsAADAeFdlYKmvr1dubq5cLpfcbrfa29tHrA2FQnrkkUd02223adq0aSotLY2peeGFF+RwOGK2jz/+eBxHYT4787xnzx7de++9uummm5SSkqKioiLt27cvpq6lpUWzZ8+W0+nU7Nmz9fOf/3w8hzApjPU8cz7HZ2eeX331Vc2fP19paWm65pprNGvWLP3DP/xDTB3nc6yxnmfO55HZmetPeu2115SYmKjbb7895r1xPaetq8xLL71kJSUlWTt27LB+//vfW6tWrbKuvfZa69ixY3Hru7u7rZUrV1r/9E//ZN1+++3WqlWrYmp+8IMfWCkpKVYoFIrarmZ253nVqlXWd77zHevAgQPWkSNHrMrKSispKcl6/fXXIzUdHR1WQkKCtXHjRqurq8vauHGjlZiYaP3mN7+5UsMyznjMM+dzLLvz/Prrr1svvvii9cYbb1jd3d3WD3/4Q+szn/mM9Y//+I+RGs7nWOMxz5zP8dmd6/Pef/99Ky8vz/J6vdaXvvSlqPfG+5y+6gLLnXfeafl8vqi2WbNmWRUVFRfd9+677x4xsKSmpo5RD6eGy5nn82bPnm1t2LAh8vrBBx+0vv71r0fVFBcXWw899NDldXYSG4955nyONRbz/MADD1iPPvpo5DXnc6zxmGfO5/hGO9clJSXWunXrrPXr18cElvE+p6+qS0KDg4M6dOiQvF5vVLvX61VHR8dlHfuDDz5QTk6ObrnlFn3jG99QMBi8rONNZmMxz2fPntXp06d14403RtoCgUDMMYuLiy/7326yGq95ljifP2ks5jkYDKqjo0N33313pI3zOdp4zbPE+fxpo53rH/zgB/rDH/6g9evXx31/vM/pqyqw9Pb2anh4OOZHFTMyMmJ+fNGOWbNm6YUXXtDevXu1e/duuVwuzZ8/X2+//fbldnlSGot5/v73v68PP/xQDz74YKQtHA6P+b/dZDZe88z5HO1y5vmWW26R0+lUYWGhnnzySa1YsSLyHudztPGaZ87nWKOZ67ffflsVFRX68Y9/rMTE+A/JH+9z2vaj+acCh8MR9dqyrJg2O+666y7dddddkdfz58/XnDlz9Pzzz6u2tnbUx53sRjvPu3fv1tNPP61f/OIX+uxnPzsmx5zKxnqeOZ/jG808t7e364MPPtBvfvMbVVRU6HOf+5wefvjhyzrmVDfW88z5PLJLnevh4WE98sgj2rBhgz7/+c+PyTFH46oKLOnp6UpISIhJeydPnoxJhZdj2rRp+vKXv3zVJvjLmefm5mYtX75cP/3pT3XPPfdEvZeZmTnu/3aTyXjN86dxPo9+nnNzcyVJX/jCF/Q///M/evrppyMfpJzP0cZrnj/taj+fJftzffr0aR08eFDBYFB/93d/J+nc5WTLspSYmKjW1lb9+Z//+bif01fVJaHk5GS53W61tbVFtbe1tWnevHlj9ncsy1JnZ6emT58+ZsecTEY7z7t379Zf//Vf68UXX9SiRYti3i8qKoo5Zmtr65j+200m4zXPn8b5PDb/3bAsSwMDA5HXnM/Rxmue471/NZ/Pkv25TklJ0e9+9zt1dnZGNp/Pp9tuu02dnZ2RHyoe93N6TG7dnUTOf5WrsbHR+v3vf2+VlpZa1157rXX06FHLsiyroqLCWrp0adQ+wWDQCgaDltvtth555BErGAxab775ZuT9p59+2vrVr35l/eEPf7CCwaD1+OOPW4mJidZvf/vbKzo2k9id5xdffNFKTEy06urqor56+P7770dqXnvtNSshIcHatGmT1dXVZW3atImvgY7DPHM+x7I7z1u3brX27t1rHTlyxDpy5IjV1NRkpaSkWFVVVZEazudY4zHPnM/xjeaz8JPifUtovM/pqy6wWJZl1dXVWTk5OVZycrI1Z84ca//+/ZH3HnvsMevuu++OqpcUs+Xk5ETeLy0ttWbMmGElJydbN910k+X1eq2Ojo4rNBpz2Znnu+++O+48P/bYY1HH/OlPf2rddtttVlJSkjVr1iyrpaXlCo3GXGM9z5zP8dmZ59raWutP//RPrc985jNWSkqKdccdd1j19fXW8PBw1DE5n2ON9TxzPo/M7mfhJ8ULLJY1vue0w7Isa2zWagAAAMbHVXUPCwAAmJwILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAw3v8DHSWHuNXCwk0AAAAASUVORK5CYII=", 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", 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" ] @@ -507,31 +795,351 @@ } ], "source": [ - "plt.hist(chain2['cosmological_parameters--omega_m'], weights=np.exp(chain2['log_weight']), bins=20);" + "plt.hist(\n", + " chain2['cosmological_parameters--omega_m'],\n", + " weights=np.exp(chain2['log_weight']),\n", + " bins=25,\n", + " histtype='step',\n", + " density=1,\n", + " label='Nautilus'\n", + ");\n", + "\n", + "plt.hist(\n", + " chain1['cosmological_parameters--omega_m'][burn:],\n", + " bins=25,\n", + " histtype='step',\n", + " density=1,\n", + " label='Emcee'\n", + ");\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "id": "a09d42b2", + "metadata": {}, + "source": [ + "## Modifying numerical parameter values" ] }, { "cell_type": "markdown", - "id": "15aba672", + "id": "76cd224a", "metadata": {}, "source": [ - "You can also customize pipelines directly" + "As well as modifying the chain, we can change the sampled parameters. For instance, in the current chain the value of the dark energy equation of state, $w$, is fixed to the cosmological constant value of -1:" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "4d0e1e9a", + "execution_count": 15, + "id": "cbd59696", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading included ini file: `examples/des-y3-scale-cuts.ini'\n" - ] - }, - { + "data": { + "text/plain": [ + "'-1.0'" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "values = cosmosis.Inifile(\"examples/pantheon_values.ini\")\n", + "values['cosmological_parameters', 'w']" + ] + }, + { + "cell_type": "markdown", + "id": "f9305f12", + "metadata": {}, + "source": [ + "Let's free that parameter and run a new chain. We can do this by passing the `values` directly to `run_cosmosis`, instead of reading from the file. In this case that will involve changing both the parameter file, to tell the astropy distance calculation what to expect:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "2bbbc720", + "metadata": {}, + "outputs": [], + "source": [ + "ini2 = cosmosis.Inifile(ini)\n", + "ini2['astropy', 'model'] = 'wcdm'" + ] + }, + { + "cell_type": "markdown", + "id": "b9785ea0", + "metadata": {}, + "source": [ + "... and also modifying the values file to free the parameter:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e24811e0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n", + "Setup all pipeline modules\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting up pipeline from pre-constructed configuration\n", + "------------------------------------------------------\n", + "Setting up pipeline from pre-constructed configuration\n", + "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", + "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", + "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "\n", + "Parameter Priors\n", + "----------------\n", + "cosmological_parameters--omega_m ~ U(0.15, 0.4)\n", + "cosmological_parameters--h0 ~ U(0.6, 0.8)\n", + "cosmological_parameters--w ~ U(-3.0, -0.5)\n", + "cosmological_parameters--omega_b ~ delta(0.04)\n", + "cosmological_parameters--omega_k ~ U(-0.3, 0.3)\n", + "cosmological_parameters--a_s ~ delta(2e-09)\n", + "cosmological_parameters--n_s ~ delta(1.0)\n", + "cosmological_parameters--tau ~ delta(0.08)\n", + "supernova_params--m ~ U(-21.0, -18.0)\n", + "\n", + "****************************************************\n", + "* Running sampler 1/1: nautilus\n", + "* Running in serial mode.\n", + "****************************************************\n", + "Using likelihooods from first run:\n", + " - pantheon\n", + " - riess21\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Total posterior evaluations = 37600 across all processes\n", + "Successful posterior evaluations = 37600 across all processes\n" + ] + } + ], + "source": [ + "values['cosmological_parameters', 'w'] = \"-3.0 -1.0 -0.5\"\n", + "status, chain3 = cosmosis.run_cosmosis(ini2, values=values, output=\"astropy\")" + ] + }, + { + "cell_type": "markdown", + "id": "0d7ae67f", + "metadata": {}, + "source": [ + "That will take a little longer to run, but afterwards we can look at Pantheon constraints on w:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "a38acc9f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(\n", + " chain3['cosmological_parameters--w'],\n", + " weights=np.exp(chain3['log_weight']),\n", + " bins=25,\n", + " density=1,\n", + " histtype='step'\n", + ");\n", + "plt.xlabel(\"$w_0$\")\n", + "plt.ylabel(\"Posterior\");" + ] + }, + { + "cell_type": "markdown", + "id": "81288334", + "metadata": {}, + "source": [ + "We can also see how the other parameters like $\\Omega_m$ are affected:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "44a05e8d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(\n", + " chain2['cosmological_parameters--omega_m'],\n", + " weights=np.exp(chain2['log_weight']),\n", + " bins=25,\n", + " histtype='step',\n", + " density=1,\n", + " label='w fixed'\n", + ");\n", + "\n", + "plt.hist(\n", + " chain3['cosmological_parameters--omega_m'],\n", + " weights=np.exp(chain3['log_weight']),\n", + " bins=25,\n", + " histtype='step',\n", + " density=1,\n", + " label='w free'\n", + ")\n", + "plt.legend()\n", + "plt.xlabel(\"$\\Omega_m$\")\n", + "plt.ylabel(\"Posterior\");" + ] + }, + { + "cell_type": "markdown", + "id": "11887e8b", + "metadata": {}, + "source": [ + "We can also make a scatter plot showing how two of our parameters are correlated. To do that we need to make a chain where all the weights are equal:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "7203386c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ESS = 11373\n" + ] + } + ], + "source": [ + "weight = np.exp(chain3['log_weight'])\n", + "\n", + "# The ESS is the effective sample size, which takes into account that lower weighted parameters\n", + "# do not contribute much to the sample.\n", + "effective_sample_size = int(weight.sum()**2 / (weight ** 2).sum())\n", + "print(\"ESS = \", effective_sample_size)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "5b2d74bb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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LPZtXSIscUMRYMoOO1iZBhKZF8cCxS/g8k3UYLnzR4zypeQ1Rh4GlYt+WdrGoqsaDDmQAUd/cjAsvUH/2D14QXqZ4LIpdm5bh1JVxqQ10vQPHLgkxTZ5RyMeCQmivnrOzDvmxtqyAJYUhVcRjUZztebrMGWJGGGAbZz1dK/DKux8JA5d8WSpZ3E89m4zWUMgSnioC8Zy4EUzn5HPxWiot7nXvs2XDmd8PHk7tHxrF/sELWq7cdAtM6s5vRC0NDOYOTJjsNkElmTO6DCG/79PiRiE1viCrITiuV6Ord+aWycXTwa/2deKD/d+UapGd7H5KpMEP7NggrkvaOgC0HhxqO2V0eQkcci0laq8advJCOluQdH56jsqGUEdrk+Maqr4Rjc/uzsfQGo+J8iTUFvV6e0phrtZ4DC2lc4UsoC4SFqKQdI21i5thlf7GhyqRzLh6fFQM7NiAeCwqvFIESuPn4bW9W9pF5mFHa5OvevaLR0awqHtQaDkRQZtdBoPDCWEgqHOP/97ZYWcz1pU8ZRQC5tpbahvSLFuPFMx3Hj6jFeusZbaa7rmoRkqg6+V3RLsNDAxmB8YYmkV8t1TWYs+REccLWjV+uMgefUZ6NW4vXh2fhs7dc3QEa9rmC8OFODpdK1scO1qv9Gi3RcoNKidkMqcnLdP5VJ2lXZuWoTUeE4ZCR2uTVo6AQyfMqOMjkWGXL9qEZDr/wI4NkrFoG0YyIckqXZf69+QjDyBswcGLIhQBvDeWwpq2+RLXJZ3NC17TWMnYefHICHSi5MVSP7iJFA1ZiMei6Cpxsxrrw2KhnczZ4cxsoSiNyZq2+Y77+Pb7n6AuYnOcyHCl+UnzD55BxKLU5nwRePHICFb1HpM8J8R/IomDg1tXoyUeE3IOBNLeeu6JhVjVexyreo+jf2hU6DjxuzE8lnIY/oRa6h7pnotqRC1V/S0DA4OZhwmT+WA6w2RqphEPRagp9Jw3Q4YRT83WueTtEMJFwemhDCh+bh6K8HPrUwYT4CyaGhRqCvr4xKREXiYODIU+Hm91clYIFPqxw2+TEo/FrYirBZvETdlmFCbatq7NkwvDw4gWgKaYM1znJU9A4S0e5lJDVtVAzR4jDpWuKG9c02Z+nueeWOjI/uNtp5CbLtOvUujaR+PXPzSK3oHzyBaKDo4QH1dqj5odqYYa1bDaXAljqSFmLz5UtQjKAzQwuBNhwmS3CWh3TgVP17TNF278FS1ylg4P+3DlZjKedK5/UowmkNgfzzoLslPmnii1+KoKvzAEL8B6svspQRzm48FDHzxbTgXfUauK1Lxf2zcuEZll5GGi73K15+0bv1IK4TVj+Z7XRVbYou5BnB4dF16TSMhyGBXcM7Hz8BlH+KoI2/jhNgTPaKM6aSpi0ZDwUulAIpdAWayRjIFDJy5LHp+Hm+9xPc/wWEoyGimUFg1ZaFCy62j+dLQ2Sf1ujceEaGfYcgpvclBNOn4dwrZ1bZIiOJ9TXJgzlc5KpUmS6Rz2bWnHvIayEnk8FvEsccLRPzQqeZ2mAgp9eV2Xh5j3bWnHZxO3Sn21w7Wreo9NOaRXbdmW2wFGoNOgljDG0CyCFvDmxnrki3ZogirCn0+kRBV1FbzKPeBe/2piMod4LCoWGlrUuGHF3fpuLxd6oWayBaFAvX3jEvHSXt/3pjiW2rLnyAhW9R5H18vvaFPmycijsNe+Le3CkOGhpUrLTRB4v7ata0Pvs+2Ix6KYmMxJ3Ayu9kxtHziXEMYYea3GkhlheKjenGjIwt4tdikT7kHi6Ghtkr7XtbJFMgQ/z+TQtbIF8VhUMiLqI2EUXLxHNrem/AhnC0XRV+JlfTZxC/u2tGNgxwa85xGG6WhtEmPWWB8Wbc0WiqiPhAUZHCjPn+eeWIimWBSxaEjMCcA2/PJF0pNqEOFXFelsHssfuhdW6Tr24v+m5DGNhixpfm9b14a9W9qFeOX+wQuSF+jQictiTnWtbBGFdrOFIvYPXnDwiPictwvz2sZ+z9ERXx6P2/Oyvu9Nh7Gt4/yR8R+PRcRzb/fVNpKS6dyUQ3rVlm2ZC/Azdmay1IsxvO58mDCZD2Yim0wnTgjoM3iAcqiABPJ0afbL97wupYoHCQ2o51WzhFRXu07puH9oVIg/crgJQfJ2kohhUBVirn79wQ++KX228/AZvHougUhJuXrXpmWOVH5aJKhvaxc3iwyvSsBDTFwUkuNqX6cI61EWGCk/q9ezvURlk0j9nLLyrn+ekbK24rEIzvZsEr+r40jjRSiHv+TvqeFbDq+sMK/v8lAmhxrSUhGPRfDkIw9KoVVKs1cRDVtorItoM/iiIQu5QlES7AQg5irVtdPde12YjUQyKfWfywWomYj7trQHUhgvh61/irFkBvFYBI310TkR0tNhukOO1Sj0TxeMMvrtCRMmu81ApFu+o9WRMGl3QsVVAQgvUr4InB69IY6lkFgmWwhcnJM8A3ReKub69vufaL1Uusrx3AsTj0UdonwqyPPCeUNBSag9XSvQGo+hp2uFND79Q6MYKKWiZwtFsdOncaPQEWXYURhh27o2NNaXw1Vu4ouATBjnIaaGUsiza2ULulhG1vq+t/DcEwuxb0s7rqUyokDrk4884Dh3Mp3Drk3L0FgfwZOPPIDWeExqy4fjP8fEZM6Rvv55JieNw5q2+cIb1j80ijzb91CY9WpfJx5ubhQevlW9xz3HnIrLkkHgRRLn0b3hsRS2b/wKrvZ12oZhaWxWtDR5htOS6Rx+pNR9cyMaZ/P2vT5w7JIUFopFQ/jgB98UGXKUJHDg2CXBvbuZsT1CIcs2jChqp8teo3tH352YzAmB0UMnLkvPgwW7bp63h8a+LwuaGkrZdna49uHmRiRKhXlX9R5zeGF1mEkPxnR7ZvzeAzNZdLgaYrzB7QXjGfLBXNIZUncnXqULghInvbRSuKeKyKp+3yV4aRxx6DxDfnC7Lh8fHXmZ7+BVD06XpjaaV3ZPazyGj1NpUdrjwXvrhdejS9G74e26fjOjFVSUz92Aicm8NPZPPvKAo34YIRYNIZ0tCE+CTndIJ05J88jLE+SGaMhCoVgUnhHSQrIsoFiE0PzhAp3qrtotpDhV2J7NsOSFUu/v9o1LXEU1iWhO3iKgnDCgJgCo6t5c74gEOC0AVzxI3Hz8deVTVHBPlQovD0atPSnVnm8ukdgN7mwY0cUaYq4YQxT2aYiG0dwYFSKGU80+8Xt50oKhM4bcvutWu8x+0f/UNWOL95UXfFWNKLfrcuPwjQvXxMJE4a+JyZyk+kzeKN01eMZUyLLT3uk7lP3D1Zv5oq6GQvjLn4dQSFmZuDxFpV0cvK9qVp8alozHog4hy31b2oWwYsgC7m2ISuU9ppLWrau3RmEoN2O9EmHLkAU81CSLT8ZjEeza9KhUn82CTW7XZejRPVm6+zWHR00Fz/gjxKJhXNz7Dddivio6WpvwwfXPtYa+On/V8e9obbK9f7ds75+tUB5CMp3zfG4AP4FUORxXac03v2sHhQk5GcwUTJjsDsTgsL0I3MrlxY5XzbSpBl7uXyKrtsZjgjzr9l3eDv5i5+EdTg5VuSNqX3X/92sz1zDi2kT00ueLJIkjAnJ4kbKA5jWUw2UPNcVwta8TF/c+g31b2tFYH0E8FkUub3tG3rhwzVHHjY8Hd+fz7KmT3U/hg+ufo4hy6rrOELJghy2Xfuc1EcY62/M0zvY8LWrSEcKWbSD1PtsunePUlXEM7NhQ8uhA1B9b1XscFz++KR0bj0XF2ASBzpA6cOySIAVzjxZl53FDqGtli6dOVXtLE052P4WDW1cLIyWZzuHUlXEkqVBtyEJLPIacC9l8RUsT+odGPQ2haMhCLBrSeovS2Tx2Hj4TOEwyPJYSc4zKuxDU5+aziVsSwXx4LMUMoTCaG+tF+HZiMucgYnOQqCXXheLX5ZmGQRHkmQ0CIpHf11hnQk4Gcw7GM+SDueQZorAXaeSo5S2C7rLKXia5DEU1UENqvI4UUA5NkScDKPrucNXwSVfJu1OJHpJ6LK+TRoRh3XG6kIVcl6u8q1VDbUR8nswVkMnmRWjOLTTUtVL2KMVjUTzcfI8IL1ImlArVo8AJ3LytvE6aDm66Q/u22F4D7h2jxTpIWIuIzMl0ViqhoobqKLz2+sjHDiNFDR+SF5R7KRLJjGv/yPsFQFwbgNarw9voRegm79Kq3mOu94a3d9H9jcKTZffXOef5fNKFZnVeKt4WHWiuc2+uV0jdL2wV1DPkdx5VO63cXns8VSK/H/j8r7U+k8GdAeMZugOgenx4Ojyp8fLyFpXsssjLRGUo3K4ZBJzfQO0Y2LEB+0oeJXoxNtbbi2NjfVTSA9Lh4NbVuNrXKQi4g8MJcZ1KqphzcM9WMp3D+r63AMBBwCQPRWu8QftiJ8XjRDKNllLaOD9vMp1FumQIAcC1VBo7D58R48q9UG7aL2ELePKRBx3p6KQuTfea6yyRR2D/4EUs7rY9B5s16ewquL5PLBoShhAAybv06rkEDm5d7enBCVu2IfXB/m+KZIAVLU1IpbNC5ZsjUZIxUA2hUIloHIuWpQfIC3otRd4JWf+ItI0IDzXFcLbnadGO7RuXiGdl35Z2XO3rFHO099l2QWSnprQq95Y+23n4DHZtetR1DGLRkHg26TkjjCUzWNV7TPLs3NdYV/osjQ+ufy6OpTIoTYr+VDwWEURsXsaDaySpqu6U4TmWTAtDaP/gRSzqHsSi7kHsH7zoSYRWNbz4ebkukx+h2o1EToaln4Gp4nZS7nZ7t+r+rpNhMJh+GM+QD2bLMzSdcXVetJPUl92uyXd7ABwGQrVEbd33vI5Zu7hZcGO8xoR7XlSuhlqs1Os8XuNPO1wLtojjxGRW7GzJM8TFLrm3gbgkxGfiStgqsfryS50OEi5X524qeY/KXpMyn8WCXWOMxpP4QmTM0P8pE5HaxtW+ySOgG8tffGEQhSJEhXginasSD6o3gAjzfrC9NWXvGPeCEucFgCPcRiE5IlCT14xzi2isw5at00R6T0EkFeiee/GGyPg6dWVc8gypiMeiok383CS5oGuTzR8KY9emZVLf+fwhjhudk3hUfE6oCQbqdWnz4OXp4feSFx+m7wdVtFc9tuoxvA38dz6nyTM0V8nZbu8T3d/dPGgGlcN4hu4AqLyCpd95LVAxxyDeHdqBRsKWw+uhepnoxck5IPsHL4qdy+nRG0Iw0uu6ahqsThlX3VlybxgXE6T26frKz6cuuovub0TYApY/dK+nN40LVm7fuMSxA6fCsQ3REMaSaTTWR0tcIpuUfHHvN4TREQ1b0k74fCKFi3ufweaVtr7RZxOTCFsQXBfycHR2tGDn4TNioSQvCFfn/jyTE14Iun8Qx4clb9pzTywUx5J4JBkuBEpdp/HnHBGV9/L9knwChaJOdj8lDKuBcwn0D41i5+EzwtCqi4SwqHsQ9ZGQg49kwTZkOL+MFKUJ3AtKhtCBY5ckz9bb73+CJx95AJ9nshKvjsQUaSzJaMgX7TmSTGeRSmelc7mhCOD6TW/uDNWTA2wDdt+Wdu25eZsA22jZvnEJTo/eEOKPKqi9+wcvSn/nhjSnTRXZZ02xqPAgcq8bKdnz6x46cVnIBRw4dsnxDKzve0t6vkjCgzzAQThJdF8A24B88pEHHR4RPoepjh3NUe4hV4+vVbq/TlhWRZB3rpsHX/f321ko83aGMYbmKLjxcOjEZak8gReCvAy4BpHbNQlce4gWtnQ2LwwZerEm01lx3SAvB90Dzyva676vtk/XV68XyKslTaH3xpwlPvjLfv/gRSTTWUzm7Bc8d8cfOHZJkLO//tgCobPjNu7LF9yLtYubEYuGYbH2kTE4lswItWbA/knq4tywI2OEFyZd0WLrF5HK96kr4yL0s7tzuSthltrAPUKAHRoKWfZivr7vTUlHisaKxumVdz9yLHwLmsr6Oi8eGREeurBVNkyT6Rzua6wTOkNUouTt9z/BLZeiva3xBkdYk0rDcCMglc6Ke0wgZW2eJq9DEUBjfUQqAuwGt3pyqsFDRiEAPHhvQ8ngs42QaNgS+kr0M1soiqK1pNPlBu559IKFcshNlwQRi4aEkj2NEw/FEtRnQPWMRUIWVvUeF1peQcL26vV0GyQ+h/m7j59fLdfit9GphAoQhDxOYUbVQOVw00TS/Z1vAg1mDsYYug2wfeMS8aL1qw4fhENE4nNenBJ6aQAQgpDEoaBaap0dtnjdrVz5xcyVib0MMt0Dr1a099vd6UT/Dm5dLRba1niDtNMk70oRELWf6HP+ss+UFhr6qY45CRm+/f4nQuySG3JLv/OadD6qEdcQDWNwOIGdh88IY1AH8iwsaGoQoo0Hjl3C0u+8hj1HRvD1xxbgSl8nPhz/uRAh1NWf0nnTaIzo2gPnEvhw/OcAgInJvPAq2C9/SyqTQv2hn+pcK/N5ZNRFQlLtteGxFE6P3kDvs+0iSyqVzmqJyxR6HCuJD9r14n6sDbUVYXvEOD4cn8D+wQtIedSSo9/JoOcLn5uviMQbaTHft6VdiIByD1fP0RFhPNhlXvJojcfwTPtDAPTCnsNjKezatEwryKmio7UJ+7a0S54e3sbNK1uESCeB1yxMZws4cOwS1ve9hVNXxoVa+7Z1bXjykQcQtoCHm+9x1Mfj4qVAWdz09OgNnOx+Cq+8+5Fdm233axJnjmPbujZtViRxs+gYmsP0DoxFQ5LxQMZIz9ER9BwdAVAUniT1uvzdFMQw0gnLqlDfF0Hgd21T/mPmYThDPpgr2WQzDT/+EH8ZqfyfoMe5gQsfUiiHZ5MBkDLYYtEwbuXyjvOqsXc3bRsLwOMlrRzKAvLiM9ELVS1bwseNQHo4+wcvOnbzXFOIODFr2uZLHhU7e+m4FDIh/pD6dyqVQbyaFS1l/R8148xRroJlgNG1uaAi52GlswUtT8NLqNJNP8kra46yoVRuiRe6VrbgjQvXPHlJaoaWTieJzsWFI0kMk/N8iCtD/BVdf1Q+WNfKFk8uEWCP+7VUWhiIblllgE1a5+MTDVvI5e3SI5yvFouG0NxYL5UScbv2ye6nHHPZFhdtkPg7/Hmi54jz0FQQT40/W/y9QO3ifBlV6FLNiPPLmnR7h+nKyRAqeYdVk9Xmxwk1Wky1gRFdrCHmqjEU1LCoFtNBRFSJx7o0Xw5OHibSKk+RVutJkZFA0I2RTvU4Grbw4LyGwH31Ghv1/PRS52nqOtBiR2rTvN2q0UNkZp0oppeqMzdwdIYLrzsGlMmzqqijWquLE9vV1HlpMS0t0m7CiByxaAhLH5yH98ZSaCiRht2MIW5sqEYgBxkzk7m8ZCzZxOvrDiOG+knj72aQqMYOv971m5OOz1rjMYxPTHoabF0e5HrdOJMaOgDJoF/R0oT3xlLiOeI/dSCPLwmVAu7PFzeWyCjU1SXUgZO53er56c7JDT86x6kr4xgcTmBBU4Pk1VMTAlR4yQ24GSM6cjM/lteo83qX+L1f5yoR/HaDIVDfBdDF1wG9e7USlyuldZ66Ml7zuj8UGiLi8eBwQoSEdGmkFNZqKKVlqynSVL+rfLwdKiBey9VPJxyhOB4ismAvJI11kYrS9nmcXx1bSp0njlBdJIT+oVGJy6QLjdBikExnHSHEXZuWiTAILRCEplKYhvggdH0LMoclGrLES3z7xiVaY4EXYAXK/Bzedl2tLjqvWqOMh2YAu3ZYS6mWHPGedKA+DpcWcb/sswfvbcC+UiV7lVsijzVl+snnGziXwK5NjzrClpR6TsZAQ9Qmf/PDYtGQq2H3cUouvULcHTKEiM8TtuAIcw0OJ/DB9S8AODlKOhIuP2R4LCVCuJ9N3BLCqRQe97JViAD/4pGRkhRGRISdm2IRKYmDSxVc3PuMmCsU2qXPdKH9hmhIeGYiLvFikv7gAqg8dF6EHYZcu7i5RKq3pHvz3BMLsaZtPnqO6t8vXmF5N/6iF9eRe5t6B857Jrz41VXzEs80mB4YY+g2BX8oafFf+p3XpIKRhEoyLNyMrFqAFvmvP7YAFoAQW6w52ZQMjK8/tgCtJaIy3yXxFwknYe7uXA7AX3+Exo6yaIgPFVSZd+fhM4K7QuPd++r5kmCjrRqcyebRUAoNUSiBipRe3PuMK19IBWXQLH3wF3C1rxO7Ox8TL0jKxmmsj4iXKr2Ym2JRIR9wta8Tyx+yd0UrWuyFiRtKZBS68b1I9+lqXyeee2KhtDjwDC+uoRSLhrSenPsa67BtXRt2dz6GlhLvxCodT21KZwvYP3hBOteTjzwgFrp4LCqNHxHYqW8cZPiQseZGPCajzg1hyyaxn+x+ShgXZATwxZ5zqLmBEg1ZWHR/o9SmImxjJV8E6iOycWhnujnbGrKAPUqo99SVccdxqZLo4n2NdaJI8cGtq0UR5SCwYBu0Vz+dQKFYzu4bHktpdbr6h0bx9vufYF5DFM89sVDMp+eeWOgwfDPZgsjKy3kM/H2NdZLHbvvGJdJcyBeB7zJeVoTdgEMnLgd6n5HWE/3kXpm33/9E2rC5cR2pr0Qg90p4Cbo55c+i0R6afpgwmQ9mOkxWjW4Pj9vreCxBXK46ns50ZTO41XdSuQq634nvsKCpAddSGfGT84qAotCY4fwfLxXrStzSPORF483746ZizGug8fvMw1qqng9XxG6NxySlby+XvNof7t5f0GSHWWLRsLTgqkrfxIPhelRBC4FyThItT0V2HdqN8/Nw7geFRulecm2g3mfLoZHOjvK53MI/dp/lEArn9sSiIeTyRVcPj821qQtcD1ANVXrxpXZtetQRjvQKY+nOkUrnRPhr75Z21wK0dB8ed+FIqXAL/xF4jTO1z3yuUujXS72c91nVlCo/a7YOke79QWrqsWgY9ZFQSXiyiFy+iFyhiMeVkBmfqzTuFPric5yHM9UwIYdbvTndfNG9z3TvW682GgSD4QzVEDNtDAUV3NLJ+NOixReKoAZNpYS9qcS0eaFRXo2dsljo3LQQ2pkclpa/QuAlFXgZAp0RQH1064NqGBJxk46jFx1/gceZAOKi+xvFiz8athwKy+oL0qt8gmoMWCiL6FE4yU3EkkMVsOTn5mPI5xw3xMpCleV7QfdKdy+BMtekNd6A8YlbDoOAGzavlsaLG0wAHAusbr55FZqNRcPY3blc2jDs29KuJbSr6GhtKnGWZKNRLdOiGgIqIVs1bsho8eKb6QwoLqaoQzRk4YMffLOUbRc8s4n3y82QAvRz2a51V3QUCt61aZng9hBx24snFY9FMZnLI5Mt4PFSoVoADiOKDIjTozeE2GksGkImW3DllnGeoQU7tEy8MR1Hj78XODE9Fg3h648t0D5nfuK0HNUYOX7Pt9/7+G4tXVLJ+h3x/NRgxkEZFapejjrZvbwC9IANDicCG0P8fEHAXbiVGkMU6uIoL/7lz2kxHktmBJmVkyVVzxBfiAk0nita7BdsNGwhkUwLwUgeElKzTGj3SQsb9fWziVsA5AWOBBAJb7//CZLpLHL5omNxpP+TwnM8FpEENnmmHIVj9g9eQLZQlET0iFOxbV2bCAcMnEvg6qcTjhfewa2rhRG0dnEzTnY/JRk7NFYc3DNAP6m9dvvfwvXPM2KB5BlSPAw3lsw46rAB9o5/27o29ByVF+DWuK2zpGb+3ddYJ80RAolIquCGPc/2CkLyjYYsQTzmhkVHa5OYH/sHL2jPpRpm5LVpYorTPUdHcOrKON5+/xPJi0FIZwuCLAzYRgEZjHwB59cm/lx9JCTabBd6jWp1ciwAFjOwDhz7iXT/VK+QLpyl8xw11oclLbDxiUlhiABOzynNfbrfNH7xWBQHt67GGxf+WfRnLJnG+MQtXNz7DfH9JS8MlopYF7C78zHHvCFP5ViJqK0aSwe3rnZVwbfHpayq7fZu5e802liq70a+caCNH9+4eoG3UYf9gxdEeFkXEbidSpfMFoxnyAdzJZusEs/NTGSaBZHdr2Q3wl3fdDxPaebeCK92uRmIqmudvBK6dHnCw833ODxDQPnlSEVVATkERm3hL+WO1iZc/Pim5F3h7SFDitrJw528fAJlS1GWFfcMcWPjqsadT+eORUO4lStI5S7U8BzgHsoDnBlNQDlbrKG0U1cNHOoLZQ9RKQ96kYcsoFi0uVxkqOqgK35LBnKitOgX4fTAAfDN6gPKhoAaRqQxpXnmlgUVsmxDg4fmKATJy4J4FYXlZUQItIir4dZXzyWE12hz6TpUsmXzyhbJmFCvwb2YbqgkbEcg75Aq4QCUCfLqs6oa5xYg2p9h9f6o7eQNX/7QvdLzoNIGzvY8rQ2tqWG+weEE6iK2R47mABX8pfccL3L99ccWSNmX5G2MhixJrwmQsy4BSN7pIO9SP8+TWrYH0EcP+DMx3evEXIAJk9UQc8UYqnWqpZeh4l/FOphhxl9uusVZvSZ/ifGFJ0hNsqCpqm6cKJ1Hxkv/g79Ig/SfODDbNy5B76vnpXADrwZu1x67iEw2j82Kzo36YlbhVnNO7SMt4upivE8J3XDDjO+m47EInnzkQckAaShxNWjsiAuhGpJqKjMtILYHo05wmTIlkUo6J12X12LTYel3XpPS7NXQAy0ARcghJ3XBJ+Ptu0dHRA22n5XORePsppGkjpd9vrIBTMYoeSvJM0QhJNLzoblI5/w8UxamVPlw3EtENdfS2QJa4zFXo42Hjt1AIT3V26KOl2o4Uj9yJW+mG+hecmOe18zzMhh5PyhEDpQlFADbo3Z69IZWW4mHmbnsR5Pm/uk2J1yqgt8ruw1yKJ4+twAxr3dtWiZtdILWSgTgeP/qtN78jKy7oQaaMYZqiLliDBFqZc17GSpexo7fgkvoHxpF78B5ZAvFwHFqnYHGNV72brFrUumMmmpFyoIKRvJ+6Ywz3fc4l4U4IKpH5Wqp+Kob2VmnUcSvq46Ze0HINwX/ak1bM149l0AkZCFfLEpGAfdgTOYKqI/YCad8oTnZ/TXpvnDvA19gVOi8f3xHqxJ7yeCkttBiy7WE1LnF53VM2b27eQvVxTQasvDM4w859KJUo4P6wdtMngo3EcfTozeEJhBxfAi0gJHnSOakRSVPJIdb29SCsVbJ88Zf+BSKu5nJolCUSdYfXP9cy/FxGkJ6gnhQcIOH5rybt4+g8pdUA/RqX6cnl4zQykj65f7Ihl1Mw0VS55bKLaJnwMvTS/dN5UzqwDdzqldYhyDvQ+MZkmFS628zBEkVDZKGSenAOg0Qr5Ie9HLJFoqOeDhPFz104rJI7XYzhNTv6AovEqjIJL1InCUoisrPMsqp8K870lnV8Qyi/0Ep3GPJtNAR0aWkU38oJZ7GlI89GVf8u1Tji36q2i3Xb2awqNQflQvgpo/Caywd3LoaLaX0X74A0njQiz2dzZdS98NojcdKpGZLGsNi6Tu0eNwq1XPTgc+n4bEU+odGsXlli9gtv6cYQlTupbE+Ii1OC5oaHP3uHxrF8j2vS9dLZwtCy4pKTvC201gRXyMWDSEei6Kna4Xj+VrQ1ICBc07PAnnsaAyzhaLDOCLQokfGZ7ZQlJ5R6it57fhMTqaz8nmZtkBdJISrn05ABZXFGDiXwOOtTbi3ISqMLMD2tO0fvIhUOov2liZxzZbSM+tWK071oH39sQWe6fo0dy3I0gMErrJNulxUADqRzKAIJwH9wXn10jOxa9MyxztNZwhZsA0nutfbNy5x8KkypZIp1KfmxnpHXTcy/uhdsWvTMiHxQVIgdsFn20CaZCWLSI+LSvmoemkcqu7b+URK8KO8vNJBarRRSZw71RCqFMYYus0QpKJxEIPJy/DwMgjcjCgyBki4MEiNND/9I1q4uKggnZeuny/a3hG+2KuGIIVFiHDMQeNJRU9X9R7zrVLNCbvDYykseWEQ9zXWefaXjykfey5aqNb4op+kbTKwYwNOdj8lEahVw4o8TCo5nNZO+kn6TLTL5/XmVIwlMw5xuoeb7wFgL8qdHS2OQrRuY8DnzaETl4Vhli7pMlmwd+b0krYXlHIoyoJcAy0askS/VVVpMnSiIUsqJMwxMZnDq+cSSKazaG6sd9TJ4mNAiEVD2LelXVyvUIRkZHBkC0VEQ5bIllJDUgPnEqLQ7s7DZyTdJp3hQIiELDHm6WxBbA7EuJRuNDcaaRwjIavkEbGQLnFx6Pt8Hup0m3ghWyrqO3Au4aj9Zh/bIPry2cQtMUZ2wVr7XlMXoyFL6HJ99+gIEqVwolprjgr7UoFj3q+BHRvQtbIF5xMp7Dx8RltPrCXegLM9T2N352PCAFGPa4pFhP5YPBbF9ZsZbRkf/n6ld2UyncXAuYQg2FMYNZ0tCKOcvkdjTRpJnB/Gr5Ev2skJq3qPI2RZ4jnz0ivSvcP58TwJYKb0i+Z6vTUTJvPBXAuTBcFsuD+DcnvU70yFm8RDImq4Qq1tRKRHnWvZzZ2u4zm5lbtQ4+48TOgVUtSFBnX3j7hEqvuek569ygL0D40KrpKurpjK6eEhFzqeH0sp2BS+VGUAeH/L4x8WwpicO8RDnmRwUb25uogdsiCCcDwWwWSuKI0D9ZeThvm8V+eJzdPJSyRvzgFTQ4r8flNY0IvgDTjT4HloKRq2EAlZWqkBmkP2/b6gPYaHlMiA4WU3gDJxWDe3qS22gVZAJpt36PAA0JSBse8fLdq8RpsOunAu/d1r7Hg7dXylWDSMpQ/+gtQv6q+qy6UjTXMtIQpfqWn/Ha1N+OD6F67Cl0T0ByCeVV1NPHUe8Cw9IsKr0hr8nUC8MOKA8XGl79E1/OgIuvcD55O1xhuwfeNXKtKbq2StmY16ayZMdpdDp5JaDUjZ2k1SnoOqS8eiIZG6HuQ79FDodgxu3qX1fW86NHDI20KlA/jO/uDW1bhSUn7WGSTyS1W/WyTwhZGqhes8IhQmBGzvgJv3i7xM3Nu0dnEz5jVE8fb7n0hhR9UAULO/eKhQlfPftq5NcCx4f/kOknaL5D6ntH4iuJKS8bZ1bVKplLIUQUbqL4UnB86RZy4v0o1Pdj8l1H3JK2GHkcjrlRcqzNGwJRaUZDqHdDYvpWnTAn5x7zO40uec99wb9d5YqhQCLBtC0ZCFFS1NomwD9zKqhm8RwOsjH2sX8zALl6kZ5/zXxroILu59BvtKStZUkoPmECUTqAtr18oWoSAdj0XR2dGCeCwqPDuW4knqHxrVLo6bS16zXZuW4eLeb+BKX9nrCNjPYtfL70gcmNZ4DLs7l4NUz5M+hlAsGhbPbf/QqDTngsp3cMOOI53N4+LHN6W/JdNZRzbatVQa0ZBVUlhvEGNM3kY671gyjUwpm5EwPJZy1WoqFO1Q4sGtqyUvfH1E9mLFoiH8esnzTOBSBK+/9zGWvDCIh5vvEfeDrk0/6V2+u/Mxcd9p/CZzZc8k/54b+PuUnkEy6OxxyHjQEPSopGJBkGjBbMIYQ3c5dPwicmfqtCn8XLO0yPil63K4hcvcwnU8ZNFaqnVF0BmCfu5ZHmo627MJV/s6RXaXX7vT2TyaYlGcHr3h4KNwEE+ADDkKw1Eogock+IKz50g57MjrV6l1wACZF7S+7028eMTmIlGdJELIsnf9q3qPO9ocj0VF2IGPvfrSIw7U7s7HRBkDXgeMKt07F8zyXziPQu0DByfKEgenocT5mNfgX1piYMcG7NvSLgwHFYViUWQvDQ4nhEHsBlV4kMI9+aIdhvECEaGXvDCIA8d+Ioyqyy91Yu3iZqzqPe4otxGPRQX5GgDO9jyNsz1P4+DW1Wisj4jFkBtgyXRWa4BbsJ8RXd0rzl/jzzyVIdm2rg1r2uaL8inceOB2mAXg4t5vSFpDHL0D58X/Q5ZtRPJz8bp1h05cFuEqDr9Cv4B9PxrrI6Uszq+g99l2vP7ex6LuWjKdxcPN9wiulIVyrbioR4wyHosKTt6KlrIhu2vTMsGta43H0NxYJ3hm/Nng/LJ80TbQ+bPGjXfajBIviUJ7/UOjyCjGWsjSbyoJuvepunGw3zPltrqFvemdyvvvBz8+5mzDGEN3OdRFjr8Q6YWg8jy44VKLmjl8xxDkfOS1sTOb9A8XP49Xm3cePoPziZQtCsjCVPS5akiR56lrZYtoNwCHMbdtXZsoHgoAPxpOYFH3oGSwABACjsNjKeaBK7/oiyiLPV7c+w1xPTK+1ve9hZ2Hz2B931tiQYmGLMmoUBcOyoxRF8xt69owmSsgmc5i/+BF6TsqV408TweOXRILZyZbEP3ldco4eLtyLAWedsa6Ira0QHWtbEFP1wphhDXWR0Rbg8xBNeRDXoPOjhbRr3wRmMwVxTEqYtGww2v4eGuTuGMkMKnCgu1J3LVpmdh181pfOw+fEYs0v1u2gf403rhwTXA8OHRGMWDPgYnJHPqHRqX2FGEb5LoNyIFjlxxp7HQ/+odGsar3uBDWbG6sl4yvx9k7ogjZq8z5aYA8H9tLm4D2liapNl1TLCp5EdSivx50KgmcK3bg2CXHszA8lhJzmwrbXn6pU8wzXYJJKp0VXs33SvfyjQvXcODYJUxM5oSoKZ/r9ZGwmMcNyhyn8aL3jOrN4/OD+rJ/8IKk1t4aj+HehqgnBxPQv6/pndYab0DP0bJHMmxBCtNT+/gaQeM1lSjEXOESGWPoLoe6yHFCb0/XCgfJWnV1qsYUNxbcoIbf+I4hiNv1ZPfXfL03/DxebebKzfQw8s/3D14sLUIX0T80ijcuXHOEQJ585AGt+5dCh63xmOM7tKCqGVaAbDBwtzgdrxZVpYypexvsBeSZxx8SiwXtdvl1KV0eKBenJNBuU911Eq5+OiGRMLmBYafq29fcvnGJ9JIt9yciXsakaMwXYB4aomyhzyZuCUI1nytr2uYjbJVDagPnElLWoEoYJVgAmhvrhKI3YL/0yZCj8AgVx6V/rSWi9/hEVgp9kOYQnXvt4mZhRERLZGUqv6FbqGLRkEbU0iYfP/fEwtL9KIjx4YvGj1yek2yhiGQ6iwPHLolCu4SxZAbjE7ccc0vnqaOkA7rXRZSL3qphJRoTzt8bHkvh1JVxnO15WkhjEEIWhEdueCwlGSoPN9+Da6k0Dp34KV48MuIwYvi1KZxLYSQV1F4dyRuwn3N6TsnjA9ieUZ7hSMZxmWMTE/9PZwvSBkM1zJPprDCcdDIEw2MpT0OGz4/tG5dI53j7/euC8O0XhuLvO2ojedOvpTLazD5A3gTrkj6mAr9EmpmCMYbuAKihFw4/q1sNK/FsFp3HRXV1qsZUEL6SlzT8vIaI9LNa8HZ5tZm7d+lh5J9z44AyligMSDu1Hw0nXD1UdG3uzdq3pR2Uor5tXZvI/KGfctjuaVEPbVH3IF559yNxLbpXlIL/cPM9IuuLXtJNMbuCOC0YJ7u/JqUJq6UsNpcMGM4l6B8aFe5+/tKmHX88FsW+Le2IhIlHZJdjoLlA+/jWeAyfZ3LC0CRvgu3J0mfTXPz4JnjVcA5Kv6ZMOABS1iB/yZL73yr1kb/EB84lsHT3a8LlTxgeS2FRd3kXTeOdKRlfhI7WJnyeyYnr7zkygqUPzkPYAp55/CFxv2w+UllJnKBbHMeSGWmB4Pejd+A8FncP4hdfGHStVeYV5rGvmUdjfUQiuXPRRzJiw5ZtME9M5oQnjWQGSIySQAvkc08slAxw2mio3sZC0f05JyNJFzYljheF69a0zRfhtLM9TzvCnKTB5BZYo7IwnMd24NgldL38jvQdziF68pEHcLL7KXEtStUnA1O3mbNKIUGd99PmNfnzabpW2u8zfo5kOiel3/N7qnqB+PtObSO997pWtpQyPMvZt3wT5rdGeEHXprnCJTLZZD64HbLJ1AwKnhEyGwx+P3ipXwdRrZ5qkVg3cURde9QCp7oUW7WtbucrS/7bGVK0E+XKu27ZIHxcVKVoVaSxf2hUZHtRtoyfYq1unCg7ixcqJdXlaNhCz2Y5Q275ntdFKYMH721wlC+h8gxu1ebppxssyFXD1XvJM5ZIPNJrnqiZgW4ZWDzLS70GL4uhijSqmZVcPJP3lRcaXfrgPHF+KlcCUI2vW66kXo59JQ+MqkDspmSu9lfNzFT75AddZpdOodrtvNGwhca6sFbdm1+DFJxJ3ZkyAgFIzyllldEG51WFy0aFZNe0zRef6VTE1euTiGKQuaXrr9pvrrpPmagcfL6piv10XrdCy/z95Jdd66ZezbMs3bzyfu8V/q7idTinK+vZFGq9y9Aat2sgha0yd4UmcKUFWHWoRcVjqc4VO4eqaE0vYgqn6B4UvuOv1BjSfVeX0UVQizhSqYjHW5swkkiJ3fGi7kHxkuCeL/LI8TRpEnWjqtUEfn31pcIXqAPHLkn9Vov7cuKqWstI1y8Cv8+fsSrzZLhxpd5svugY//pIGOlsAdlCURC3H7y3QZToACAy1Sjdn5cjKEJWTVYXE5VroRJ0qdI5XYfCaiq4EXX10wnHwk88Lj6+gH1P+LF8/E6PjgMol3OgMhB8zGkhprpW1D9ePZ0XGy4U7cLEZDTGY1E0N9YJFWJSlCZ9HsB+F1CfSTyT5ovbs6tmU7plJVFpFaoW7wbKcuJzVkf2pbWeGwRhyy4I63V+AKJflJJOhoUu1EK8KjJc6L7RRjFT0gDiZWpsQ+unGEtmSsajvQmwYI93qhQSO3DsktbgtgvMOlPtrdI4Uto6HROLhqTSHTqC+BsXrglv8rZ1bY5npC4Swvq+t4RkhRsObl0taYbpFPMB+1nkfVL5jgT+ruJhuLWLmwHIddT4u4rTEeaC8KMJk90BIA4Nxb35C7gWDP5aVDzWcYF4ym22UETP0RE898RC7NvSjmQ65zieMBW3qu67QYQsgXL2GCn0/uwlm0tC7y16SfAQQc/RERw4dkl6KW5e2SK8BXURfeaGOl4DOza4qvxSOGrt4mYREq3mvssCfXLpAZUQCtiLDCdxT+byErE1WyhiTdt8B8eJFixdCHFN23xhIHaV1KlJtHB352MA9OJx6iJ4X2OdIP2u6j0uSOZu34mGLUnYk6sU00tdNxfpGjQ2RUBketH4k5DnGxeuoaVE/qZzEpLpLAaHEw5vxKvnypy3Jx95AIAdhtq7pR0PNdlcJMrsozCoimQ6K/h5ujAFzdfWeIPDCKFQGWAb69s3LkEqLYtg8p8ABCdtYMcGce4mnww9AglYBgUZ6WRQ3ddY5yCVv/3+Jw4JD1uoNW1rBpWOayhJCJTDP5ZoU2N9FK3xBqH+TN8hIU11/vUPjaI+UibpU9iyKRbFZxO3hPo0z8rkGwMeRiWkswUh/7Cq9zjefv8T6V1Dwo4k+kjQheV070H1/b594xKJgsGfUw7+rlJpB6oY79rFzVjQFMPaxc3ivVsXCfkK3c4Ebpsw2f79+zE4OIizZ8+irq4OyWTS9zvFYhG9vb34i7/4C9y4cQO/9Eu/hD/7sz/DihUrfL9LuB3CZNONWnuG1J0ZB8/OAsoEWq+Q2EyJTLqF53TuYy5CSerDJAhI3giqr6QWdSTPCA/PqQVOuWeFfncLiaqibm5QdVoIFJYTXrxSu3nxUO7y58JyfvXbVAQpHqmrxq2rj6UvmEoCjRcdYRseSuCCg9QHHvqgUNNkLi9dNx6L4GzPJum86rjy0CU/15OPPKCt8E56Uvw+6kKfKtRQSjRsIZcvk8bdCvPysaJ5ycOuvE6c2lbycqgFUIOCPK+6r3DBTMASxU55H8kzpwtxkTfKTYxR5cDQfCe7pKgcT/2KMTFRyihTPTv8HcAFLslYUIVSAYgxVwve8mvzZ4AiBKL9JTkG/t7g7xU3z3C5zXIhYu61/zyTE+fwqu8IQBLjBZxFZisp6F0p7shCrT09PYjH4/inf/on/OVf/mUgY+iHP/wh9u/fj7/6q7/CI488gn379uHtt9/GpUuXMG/evEDXvdOMoanwbaazLYA+rMNfFvylz79LD9tcqL7MDcfnnlioHWs3jpdqzJQ5RuUir3LxVfl4t3s7VWNIfUGplbh1BScB2T0edN7p1KpV/oJOCVsHO6Qhc1VogdBVcuecDG4MUaFOuj43GlSek8440RlDvOgqVbFf0FRezFReDwAs3/NjqS+cU+RWoVxd4LjRqPJeaL5ROIzfq6XfeU2oqatFbHUgTg+pntveBHu0VA+jWqyYFz3lxiWf79dvZkR7GutlfpEfP6mzo7whoXap7x0vQy4ei2DXpkclI4y8tjojjJ5xfjzdc3WsuWEBQGtkrGmbLz1rr7z7kUOxmn+f3h98XLzelXy+kkGkGkZ+5+BwU7knA43CkV5cpGpxRypQ9/b24g//8A/x+OOPBzq+WCziv/yX/4Ldu3fjN3/zN9He3o6//uu/xs9//nP87//9v6e5tXMXcyWNEZBDeG7/dwuJ8X6o9cUq1asIqpUU5DgeanILVfFsMf65mwRApmQI8THYefiMqN9Ef3e7Hhet8xobcqfHoiFJGkENsVDWCqXyUto7iQGq9xAINu+oeGRTLCrUqu36TrImEj838Yh4VIH6UYSdQk/htlg0JLKF1JpXgCyvQH2Lx6IibZquz8MwVKSVsopUqQLAWcdv16ZlUsp2JltwZE7ZoZlytlfXy+84FvhC0SYKf/doWUSQCxr2D43ig+ufi9+jYQu7Ox8TkgdqiOft9z9Bvmhzr9R5RJpQ2UJR4jXRuLfGGxxh3EMnLguByonJfGl86qWaZK3xBimVnV/TNt7LXjaSUljTNl9Sd2+sl69bHylndnWtbBEZb+RROT16QwhxTkzmhYaROkfdwuaN9XbRaP6MkBGkJvHRM64iXbrn5xOy4CLn3Lx6Ti8zsnZxs/Ss6WgMVz+dEBmgnPtH8KIE0FyOxyJibClMyOF1Dh7KJhmMnqMj4t1BnKWeoyPYvvErgYVupxO3jTFUKa5cuYJr167h6afLO+H6+nr86q/+Kv7xH//R9XuTk5O4efOm9O9OwlxJY+TwMjJo4QMgiX6RnP72jUsEZ+aziVtVGXo6PlO50v2PtfpDbuD8C51hphN5VPuqSgAQx4gvFJQq7FW9mqfjk0AhHxtVduHi3mdwtVS2hLvQ6SVLL1cqLvrikRGx+Kt9Vc9Nx9FP3T2nxSiZziIWDWNN23wpBKWbs0sftD28TbGIKPLKyyIkSh4cShUGIEpL0OLNK8CrBhcJQVooG0GcnJovcVxUAUXe94EdGxx8C3I4xKJhKW0eKC9GY6ysjerd4eARmWyhKMZV5apl80W88u5HQpKgPhKW3gWkM6TTG3K20TY2mkpjeC2Vwa5Ny0SJkYeb70GilMFlwSZVk7J1kfV/fMJZQJcMUbVSPLX79OgNaTy3b1wicWwebr4HjfUR8X0L5VImFFZa8sKgZGjTXOafA2XeGkcimUbXy+84SMrJdNYhdXA+kdLKCpDyNjco+odGEWLWVENJMmJBU0OpvReFzARpaQHy5oreUV78zo7WJikpZPme17GYSUiQCv/Znk1CcXx84pYwaAlelITegfMiiQJwvjvpnrmR3mcDd6wxdO3aNQDAl770JenvX/rSl8RnOrz00ktoamoS/xYuXDit7ZxpzEVJ9CBGhir6lUxnpZ0zUL2hpyNQlyvd58WLLAjRmmqkAZbWMPPqq2ogeGk2+bVlVe8xaceoGxs/bw1/yarg5+bnoT7sH7wgnVvN2NONA2/brVzesdioc5ZndyXTOXG/qNYThbAGhxPCCCMtJipv0BqPoWfzCrGI64Qz6yNhFAHhEeEEax1IBPPQicvCICWvz7VUBt9lGYQZIVlQMsxClhSO4LIL9LO5sd5xTa4r5PUsDY+lhIeFtHIACO8MAEeNLRUPN98jPBO7Ni0TpUgoa+1k91M4n7CNHjIWgaJQdObGRSabFyVgaHFXN0BE4p2YzMIC8HGqXAfv+s1JIW7Kid6k1s0N+APHLmH7xiVCw4j4TXxsJiZzQhyRspyu9HVKz0ARZb0ttzlAxPN8yXunevUsQDzbtHE4cOyS8KSFLbsMChdD5OcgDaD+oVF8NnFL1BCk94JbuwA5W5Jrpw0OJ8R8Xbr7NeGppecKKHu+WuMNnhp23HMH6BXsdQk/s4lZ5Qx973vfQ29vr+cx7777Lr761a+K3//qr/4Kzz//vC9n6B//8R+xfv16JBIJPPTQQ+Lvv/d7v4ePPvoIP/7xj7Xfm5ycxOTkpPj95s2bWLhw4R3DGZqLCEKAduMXTZdRx8myFmR9Gz+4adHQed36qpKHqyWGqxonapV6leQZhBjPdYc4CZxzo7hmkgWUakLZ94u+28Q4CJyEqbY7Vko/f/29j5EtFB18iINbV2Nx9yAr5lnmNNC1qfL2ipZyinc1vDLOuXrykQckYvuBY5ckErWFclV7lScC2PNBx7fZt6Udh05c1nKZuP6MOs50zSaFs0I6S8Sn4yBiORHhifDupZ2j488Qx0PHSaO5G7LK56bP5Ar2ZZ6UrS8UEX1Q+VhuoPHhnKcPx3+u5e/QPaTx05HsicTNdXiIrxSLhnErlxfXmLiVk2rVcd6LTmuIKt4/3tqED65/gUw2j0jpPhA3DZC5X+pzQZpUXJ4hFg3j4t5viOvoNJ5sr6ltJDXWhwVPZ3zilniueXtJB41z+HSEex1Pbunu1+y5Fbbwwf5vutw5iP5NVwLMbaMz9Ad/8Af41//6X3ses2jRoqrOvWDBAgC2h4gbQ9evX3d4izjq6+tRX+/ceRlMH3SaNyqIh8J/ryXUB5Lao6aLBgF3UaveDa++qnpBbjocfmRk7hWIxyKSoaOW0AD0+kocPDOutVStWwUtGITHS5k/ROwlAjgRj5PpnGOR5xk+6WwBp0dv4IMflF+ktCDTeHBydGN9FE8+8qAgjI4l07h+095R8wrn/F4GzZIkcT9O1h8cTuCNC/+MdDaPaNgSnh1VX4gWdAvA3i3tOHVlXHsNmt/qAsp5GjRGE5M5kRkVtoB5DfaCbnOXooJUO3AuIYxOTs62z1u+F9lCUdqh81AhHzd1YR9LZrCoe1B4IR5uvoeVPrHT3Rc01YMTlAH5+ZBq6OWL0twsopw6r1OiJuw8fAanR29gYtKW4/jg+hee4pQHt64WGZpqzTPKDOPezlfe/Uik4ddHQmhujAptNJ41ZoftvyJ+f+OCMwJRKNpePD4GZEzVR8I42/M0dh4+I/g16rvo648tkEj+BPIw0viTkakmcvBQNGCPP0+Q4LpbY8m0mCPpbB6nrow7PPF8gyoltWxe4atvRxszasur52ZXb2hWw2T3338/Hn30Uc9/DQ3eVaDdsHjxYixYsABvvPGG+NutW7fwD//wD/iVX/mVWnVhzqMWhVRvR1Tab13BWhII9HpA1TprQDmkEQ1ZFbmAVb0gqmSfL0LLrVH5P6SpQ2Ulula2YNemR/GLLwxiUal8w5q2+YjHolJYpS4Sllzd6tj1DpwXXgG3/nAe174t7fjg+ueCjwGUM2rUitzL97yOA8cuSYYQ1fNSr6W62on3o3LHSLuFu+pJh0fHhRJePOVeUhgAgCCALmhqcJRqoUW8sT4iidkdOnFZeDZCFnDg2E8kzxlxkTpay8T/g1tXSyGORDKDVb3H0T80KsJbk7m8JFhIY1xEmXTNw4f5on0eoCwoeLL7KS2RX51bNBeufjrhqnNFXrHziZTgtXCBPkrpJg6eysEhqOTjeCyCk91P4WT31xy6O/zXV0u6OsQ1U7MHeSX5XZuWCb7b9ZsZod1EaG6scyRu0FgWilT4tSQ8WspmI/C6ZEteGNSWWaHv8X4QRyyVzmJx96AI7fFNDedL6UCcLrp/VDB4YMcGKexIzygZ2TQHaO4D5RR4FfzdqCO9q4K29My4vYO5IQTYtQ1nE7eNAvWHH36I8fFxfPjhh8jn8zh79iwA4Ctf+Qp+4Rd+AQDw6KOP4qWXXsJv/MZvwLIsPP/88/jBD36ApUuXYunSpfjBD36Ae+65B7/92789iz2ZWcwllc9q0/qrcaNW0u/+oVHURWz3My9Yyx9sNyl6XSZHNVpMvI+0oALlDBjeD3VHpnoTGkuFTQ+duIy33/9ELJyFIvD6ex/jgx98U9IMoswtuidUkmDgXAKnR29IL2+3+0Yep3gsKngIHHTPt61rk1z46WxBEHkprLX8oXsdKtCAvWvNF+2f1BZde+jvfp4f0k2hBYHfy66X35EI+ddSaeSLNueHh9nUVHSgrDXz5CMPlEIQeYQsmQu0eaVTb+vFI7Y3oLmxThJx5MR3Ij7rFloaw8UaiYSGaBjNjXXSs6cbkzVt83EtlRZkcTdCrpyiXw55vqoJAdL4EffEbcmjaaYLu9C5I2EL+ULRtSbbLUb+7mhtwtrFzXj7/U+El4YvwNlCEadHb4h5EA1ZolDrfY11uJZK45V3PxLhRJI7oBATaaDRs0qZnbrQZEdrk+AqkUeJvDYUSuVfIYObh/4ASF6YmxnaaDRI7wY638C5hAgzk4QAqcGr4yvN/ZUtGJ+YdMwxag+9a1QFevW9xDPj3rjwz0IXyu0d0lg/u+bIbUOg/u53v4vVq1ejp6cHX3zxBVavXo3Vq1fj//7f/yuOuXTpElKp8kP77W9/G88//zx+//d/H1/96lcxNjaG48ePB9YYuhMQVF15JuBH2HUj5AUhWKuopN+0eLewEND2jUsQDdskaFutVi9Fz3fXft4o/rnqheB95LtSXT9UErwcFotK7nA1DECGjVD+zhdFlXkdVI+NG4hUnEpnBbfCJnKGHVlsHLFoSHgqSJmXyKk8TZy3OagSOpHZn3tioXZe0edkFKhV2Pl9oMUoZFniPOSJGtixQZKFoMy906M3cHHvN3Clr1MJp0QkA52PvU2+zrBjy54vGmPAnm9hq9xmUgkn4jIA4R2k7DldVqb6/zcuXBML2Pq+N7U6O/sU1euzPZsEGfhxDdk+kUxjQVODyPZTM9PClt0f3lf1XbB2cTNaSmR31RAqsnGi5wWwicJkpKezBSGRQCDPLYVRc4WiUG8eLpGoh8dSIoxVKAKfZ7IiFXxgxwYpk60+EsahE5fFXCGQh4YIwz1dK8T3dc9FLBpC77PtOD16Q6TXqyn4h05clpTveRo7z46keTeWzEhq8Or4co/t2+9/IrI0edFbStcnqO8MCie+8u5H2Hn4jDR30tm8eA/QtZ985AGH1242cduILs4W7jTRxdmEn2fIjZDn5Rmq1NvkphbtL47Y4CsM5qeezD9XCzQGKZzq1k/dd+l4lZBLXhJdMVL6vioKSQJp9JM8OGpbuRghXYcXnaS/uYn76bhDnM+gU6oNcv/5vOK7Vy9xQtWbxPvmJXLpVuSSk73VYsrqPeTkdNV74/aMUFuobplbEU7+faCsBqzzBLjhqlIsl8jxjzPvhwr1maCivoBTCVvlqJ3sfkpqN9VGKytKy8KJB45dwsStHHL5oiDsq2Rs7hX0S0NXP3cbexIhVRWuvVSVV/UeEwkFxHmj2mX5YlmcUX3WuIeGPE3ULi4Y6tZuPp5r2uZLZPcgUBNDAPn55Fw5oDz2JHrKr/3quQQiIUvIIdSSD3pHKlDPFowxNP3gWTK83EQQuKk2uxkVXtLvatV1Im4GLUPid+2gC55fP90W9KBtIpVn9cGnBUsNL6kve/V4Ai//wDPw3Mbc7d7NKxXFVMfGq6SLX1kKlUAK2IvotVTGQQ4mEjKNLS1Y9NnDzffgfCKFughl6ZQXLP6i91swve4jN9q3b/yKQ3mYiNr0zNB5eUYYlV5Qw3hUNJiyt3ZtWqZV8ubFVAl8Thw4dgmpdNbxPV0WWEzJRlLL1TTWRxx9IQNdLSmhKs7rypR4QaemTH//PJPDipYmXPz4pjDgATjUqkn12U3BmlSVbc+KJd0z/n0OMqL4ZklndADe7wNZzfsnUl+pIDZvK42nV/aeBZvTQ8YSlYnRvdPoc1JVTyQzTFcrJOqw6UKKXs9xNTDGUA1hjKHpR5AFzQ08e4WHF9y8M27cH8BZNkHXnlqlgQY1AHXHuZUo0fXT7kd50Vc9P4Cd0lwoFDWeHvsctCjSYuNlJJJByWtquXF3SIwuk81j88pyFWtSEw9iLFZqSKv1ugCnp84eM/faSW5lGqi+FTcSLNhp77s2LcOpK+NSmjLdR0rXprIJ6mKtpn/HSvwfvujTdQCIzDKdsdv7bLu0AKmGaLkyvW2QqBlTlBWnevCAsodC/Y5uTLkHjdqs3oeulS0iYw8oe5DUZ5DSuOk7Nsm4KIwRPpb7trQ7iLu8fTR/1HuuSnuoc8jP+NWNk/x92eilzQpJEnjV//LyFNMzxaHWYVNLgHBtK9Vzy/vdGo8JzzO9b4V0hyI5QOCbJLo234ioXsKp4o4sx2Fw52IqqtjEn1ENITWFmvg5J7u/5ir9Tlk8btlMQHX8JR1oMeECfV7HnR694VuihIOPx1gy49rmeCyKns0rtOKOdA4qbkncHtrpEsmZ8w94FW6eocK5OTwb5VYuLwTfOD+K84M4D0vlOtD9pzIbfIHV4ZV3PxL/J2G8zo4WqbQCACEC2D80Klz9xJ9wiyR0drTg1JVxJJm3hAjQLx4ZwcC5spAnLXqt8Rgy2bxUNkHnteAZPpls3qG6XAQk1WVdE0ntt7OjRZTEGEumsb7vTZE5SfwnIUjZZQtS8nAHiRcST4c+U4X2VIwl01j6ndewqHtQlBAByorTKr/v9OgNKTNs/+AFAE4x0hxbdOk5+Thlz92bmZzEe3nxyAhSGkOI2kecFvWec74jn2Nhq8zTA8rzk2dI8jEKW87x2belHSe7vyae7bff/0Tcv1Q6i/6hUfHeefVcQsrkApzq75y4TIrWnO2XL5bHUicpQrw0XsqFjC/OGxxLphEJWY737eeZrMMQ4srrnFN5cOtqiXc5m2LAt002mcGdC7esoErAOQCqJyEo8ZY8GV5QtYBU6DgyOpCHh3s0dB4UNUMDCDZefJfNs30A77Hi4DwpXlvovpJX4r7GOkd2Cb2g+e5bHXe+sPDx5Joq3OVOL3bShuFZfjqou2b+O28L7cTXLm7GtnVtIvMGKGdwjU9Moggiej+K9X1vaQ0NyuihMg5+IA2XrpUtkicAKBeGnczlUR8Ji/AKZSR1drSIvvOQEfXXrXgtEeVPXRlHiM0PMnr5mOrmGHkFJiZz0uc6cUE30Phye4Cfi3uCEiVtHzo2nS1gfd9bDm/I5pUtwuNGzwnPoHzykQel9pXH2RYh5KG+8YlJHDh2Sfz+ecY2TPlzSMaQBXsMSc6gf2hUjD2ZDI31YZzs/prkCaNsNMKe0riStIGqtUSk7OGxFCIhS2Qe9g6cl8rsUBsofAugJOZoex4pI69YGkvu/aJs1Z2Hz4jrp7MFscGg8KPKS2qsj0jFnw+duKwR+Yxg+8aviPmjZvhWk307HTBhMh+YMNntAa80arfPgoruVQJOtAWcZFPVtc13ZvyF7UW6dIPqyqcXs1e1ehoDzn1QDQigvBCSN4IWYPo/UObaqCGUaMiSxBO9jBVAVhfnfB1aYHRkSx0vSEe+5e2i3ylsQQZkLBpCLl907OB14TSV06ESse3r2LwJajdXQLZgq2WPT9wSCxjn/RD3hNrLQzFCHqHEA6Fj1XAVhcxoHnAyNwcPUfBng0T7aOzUUAeNPxGp+bmjIQu5QlHLK2oqqUG/PvIxsvmidC0Kv1iwa3Rxcjf1w42sDshhYvW+hS2gLmLf41yh6CB+x2NRTObyQpVZFTyla6oCm7qUeqD8LLvNQ7VPtJnimxjiosU0Y0EhKTXVXwdSsObN5MkTuhAwPdd8rAF9FQC3JAhOmKdnRg2TT4f0y22jQG1gUCt4eX90hk7/0GjFqdpBsH3jEskzxKHzavCwm6p7wxd4IsPqMsbohcTPf7L7KeGdmZjMYckLg1qeU1ltVvYOuMkgcHVs/v+6SDmFnnbP5Nmgl6fb4kXt5DtQagcPGdE7OlsoSrthwN5Vn7oyjp6jIyK1mTRjSDNnTdt8jE9MSiVFxpJpYfQQmXfXpmUSN4IWT74IufG1KHRI2jSArU2kK+dC4zaWTAtDj37SGHAPAvcOcqOLp0/z3x+8t8GR9QY4jQsCqS1zw2B4LCV+Jy+NZdn3kkjAtJnghhuBSnFM5gqlEhe214LCeqdHb4hxGh5LCY4KzXcadx0HintRVE8heWPI+/rGhX+Wrs/7T+MYdclo0vGbYtGQeAZso/24ZExxLSIC96je11infe9sW9eGnqMjpevYc/9Hwwl8v6QbNjGZE22Phixprg6PpURZF8q4s8ttZIWhTUrwpJulcit1PKPJXF70n547tb4l39Sd7H5KypwFgAwrV3Nw62rHpmEu6OAZzpDBHQGvoqI68EU+6HeCYNu6Nnzwg29KHBnAflkkSjs7vqhxnoyqe8MNEh1XiXgJ9KIiHgfxXYiLkSsUXTlD1PfWeANCVplDsn3jEsSiYSRKL+/WeAyt8QYMnEvg6qcTDo7R0gd/QSKgnu15Ghf3PoOzPU/jwLGfYFH3IPYcGZGqhOv0mDgfqn9oVOIoxEuV6an8hcqZIk2W98ZsTRbaTROPxOagFBCybN0avzIk/B4RF4o0USYms1jUPYj1fW9q2798wb3S91WcHh0vCSja/LTNpfPu3dIOWvYnJrOCa9Eab5AWH3UhPXDskqSTRBo63CAgPszuzse0/eT6OgQKBQFy6OnQicvSZoIXo1XRWB/G1x/7kuBLRUPl+0d6XtRmmu/EC6KFn5pkoeyZ4LwlMnw5d4b4ZAe3rhZ6T7s7lzvUrAlkZHNeGVA2uuhfyLKNCgrf8muSMQ1Yongqgebb8FgK7zkMoaKYT1wricabNHwa68Oizz1dK7BtXZuDc3NfYx2S6VxJRLIZ9ZEQ4rGo0KZa0zZfaB71PtsucSpp3GneUV+T6Swmc3nxfY7+oVFJNXvn4TMoFO0wZO+z7QDsUGbYKitlq/NX1WaaDZgwmQ9MmGxmUK06dbXnq/X1/OCnQeSlFcQz5XhIj+L2lOEDwKHP4nZuHdyypqjNuhR5v36p5+U7fAq3uN0LCivIYSNnJh31rwiUXsJ2+q7qheLcFtI4UbkufunZNP7qWKjZWGqWjd9YE1T+jS5cquPoUKiMe7TU8ARQ9ljxLCu37K+rfZ2OzENC18oWiWPlBx6qchsT1VtACzJlhU3mCiJTcemD8yStqyAaZYBTMVyX4k59J6g1tFRw7aN4LILG+qiU9k7z8OHme7TX4sVq+bV55quurpxbBhufuzTuqq4U50Cpc4ZD5xVTdbZ4xlyXkhVKNfFs3mGzNg2ft7XWxVpNNpnBtMFNJXqq8FOn5ruXIHXH/M6nqjhPN/wUsXkGCKlSn7oyjmuptPQi5GUqdm1ahrBVJll+l3EWxicmxXG02zs9Oi55M9Rx5F4IarMFO0Tkdr/9+qV+jy+dkbAlMmPo5cyPt71ToVI9qLR4efNMOjIM8kW7GjhlstFufjKXF/WRqK4TkY0Pbl0tFgm7XpOdMUfXoJ00x/BYSmojZSDyshVjyTQaSgrcVMJAna+UpRQNWdJn3HtH94Hm/vq+N7Gq97iWrJwtFNFzdEScl7wFGSW0RyEpHn7UGTSUXUf9U8XHB4cTeObxh4TH0AsdrU3S/MgXIdXyI6iL41gyI7I/z/Zswq2c3Zd0tiA8WDRe6ryg9xR5CwfOJcQ8IXXxbevaMLBjg7YWFz0jtODv2rRMjGlZ9Tssrknjaf+k8SxKXqUPx3+OfVvahWcnFg2LfnLQXOCZr9yDOz4xCQu2h4b6SfXWVK5eZ0eLaCMfI/5+5J4lXbbm2Z6ncbbnaeFp5uKWY8k0JnN58bwMDiek+n1cuZ97twd2bHBkcFK23GzBcIYMKkKQbJ5qoGZNqd4C7pInDoNXnFmXhTWd0Hk3ln7nNUFk/eAH33Rta9fL70ihCeqrTiNEzSoDoN3h6TghakkRtX6bKjdwcOtqqfAo7fr4wsYrgFM5AJXMrIO9m86Jc1+/mUG2UETvwHmJB7SH9Yn6Pj4xiT2lOl7ceKBsIrVwJGAvhsSnoGN2Hj4jPm+sD+NaKi0qhat8CK69wvuUzhaw8/AZwbVQVbWBsveMz9fG+iiS6ZwwRGixJnBitsrrUkG7/3zRzn7iu/vNK+VsPU6M/nB8wlV8kMaVDEtVL4eKhpJngs5LBF+VkA/YoUnOb1G5TCq4kcUN0JAFtLeUM+sAZ/ZbWcPJnR9Fx5P3hvePc+g4D4/aoiYAlD0wDdJz1rWyRcwxMsxtblpEFPpVQZmTvD/kDV7f95boz+nRG+L51Gk+8aQFAs17HrLXeWMreb/XR8ISTyiRzKAlHsPaxc04PTouxqMuUhYnBfRh+4aSgTgbMJ4hg4owFU0gL6ieGtWzw3cvQeqOzbTnR+eJ8tNdIag7Yuor9bOjtQlUB4peZuRNoH4eOPYT6RzxWCSQ54fGcVXvMSzqHsSq3mPSefj9VvVd3PpOv/ccHXHwC6heFtey2b5xiXasul5+R0o3J2J3upQNw7WJ7EUvL9pA4yK386eSB4q/jLkWk7o7Prh1Na72dUr1qHhleTJyKP35vlLlcwBSjSbiRfQPjYrdvc6rErYgjTH3CqjaPqFSyKlrpd6Ld3DravQ+24633/8Eq3qP47knFop+UNo4gfpEle4HziXwyrsfiXvFvUMhSy4a+tnELezb0o6Le59BR2sTxpIZXL+ZwSvvfoRF3YNY1D0oGetkVNK8UY3msAXJOOcp2xYgan1Rv9RaazRvd3c+Jr079m1pd7y/qJ4cB90XlYcHyDW4eNvCFoRIKY0nzxqsj4RFH5LpnJjb5IHkc+G7R0dcOWm8htuatvniu9x55/XOoZDyrVxBGHPquKkeNh6Co3vVWB+WftKz2BANMS5juVXpbEF6f5DnORYNSzX0ZguGM+QDwxmaHVTK6amWA1RrRWkvz1CQFP9F9zf6tkfH0/Hi8wB22jQAx442CG+AoHpIKA1aVX9WSy1MTOZ8dZd0Y6CqER/culqbous2/mqbgXK1deKdqIaoWjvJq8QLP3csWtZ2cbsHpPzLPVa08FCJDLVf6tjQmFMqPmV4USaUWpJj27o2bV01AA7ZAreFgPqi8ofIOF++58elsiRhXNz7DVeekfo91TPEx4A4TdRnXm+MSLj8voYtYF5DVOK0qOPGz0/X+DyTE+VfaAx4mRI+fnReN3Vqr5R2KuOizjfizRF051Jr2bnJSADlwsrRkIXlD90rvGfkvdVlpnpVANCV/SB+FIdOQkT1JoYs4GcKV2wq1QeCwJTjqCGMMTSzCGLU6I6p9qEKQgCuFbzqounaQ6UdADkVXSfNX9YUiuBszyZxHCcMA5DGiI8Z13VxIzWrGiRUJkI35rpaXEHvi07rREd4ptIK6vio4JozBAu2vg+FUjLZAizL5h093tqED8d/jonJnKSR41WLDSiTk6MhC888/pAoavveWLmSvEqqDVKYUi2cS6TyyZycIh6yUPIO2YYZzSEAQgOI67n4GS3UZyrd4CQ42/eUdIto7nD9I0Dx9gXUk+Fto3nG9bLc9HB4uRgOnbaPH8rPiVzCR1e7j4fZLEASteSGKn3Ow5drFzc7hFrVUji8oCrdX5UIDUBrhNhEZj3pGvAuaaMrX6TOG77J0Rnu/LzURt2GbDq8+IZAbXDbwo/47HZMteG7ICE3N1RKJg+S/s/bQy9Y0vYgqOGqQycuowj7hUmGEB3HwwLqGFG4J5FM4/FSKG4v8yCpY6wbI5XMrIbvKBSmS332G4OulS1S+3lYKx6LSORUt/my8/AZXEvJCyOl+FKI4euPLUBTLIpC0fYMDI+lkExnkVUMIeo/L7lAiEXD6Nm8AvFYFNlCEa+es8usfDZxC1f6OsU9v37TbguRUoMsAHze0D3ctWmZIBQTCkVagO1WU/mNbevaUB8JowiIQq9ctkDhRkvIF22i7Pq+t0SIjd8THsoUHpsdG7BvSzsevLdBkKypDzxBgIM/S/1DoyLdvqO1CROTthdiYjInyOTzGuSwVtiCKBejGkI0bjy0CdhzyC6n4aTOcukGiQP08jtaCQxufDze2oR5DdFyWNGC9HlDNCTCl6dHb2D/4AVhMJKxSeTp7z8rz/980S7HEo9Fcf1mpsSpK+LFIyN48cgI7musE88chd86O1rEvPGSIOD8QALvO4XseDgvFg1J3l7O7eTSBie7n8KpK+OC5L1/8AKWvDCIU1fGZ5TO4AVDoDaYUwhCfNYdU21JD14ColL4kclVD85zTyzEZxO38NwTCwO1Z/me18XfvcZjTdt8XEulHfwcwDkuqqud1GiHx1IIW3YGG9VIUseY2ua2m+MZcXQ8Xb8SYqZ6T+h41b3P035VTR3aiepI6Dw8IGo4uVgEtIvn7SEjNRYNOUIY1J6GaAjNjfVi/EhjJlso4sCxS4HnKufjcGI5Hw9KXybUR8LCY/RxKq01QA+duIxsoSh5DC3YqtBqCjl5Guje0b+dh89InqK33/8E/UOjOHVlXMyBickczvY8LZUpIfI0Vx9WF+Js3m7bwI4NWFzyROQKRXE9NUwzryEq/u9WbqYSDxwVR6UMPbqeLjWePH1U1oOLVvK+kMdq6YPzAJTfH3zqqRsl/vySDEBE8bjxez88lsKi+xu1KfdqFpk6Hrr3CI0lv87J7q8Jb2BGIaerwrEcfDND7x0dWXy2YMJkPjBhsrsbXlXu/Vy8agiuklAeD0l4ldOw21h5iJC+E4vaGR5+GjBebaTMIa6qqwspVcoBU0MHXuUXeJ8ItBO261aVyxDwCttqFW43/hQ3bN9+/xNJ34nc/Vx1m5dqUDWOiFtD4Ofm+itUO0vVdlEVznkWF4UndP3ixq1XaQU1HEYhRfXe6UJVKsiYfOPCNWGg6cpGEFdLx2nhY8e5RNR3t35WusDuPHxGzJXdnY9Jdd+IHB+PRZBK58QxulIUZIyT8UPzV30f0PH3NdYJbg/df102Hp/fcY3RysHDkTrej46DpIa0y3+XOUIdrU344Prn2nIlbuD8NEDOupsuvhBgOEM1hTGG7l6oi6Ubz8eLvKt6MoK+qPkuVUc41b2E+cLrR8Ku9DtqHaxt69oc3AHOa/AjpPtdTzVs1JIYnMvC+8TvF40biVNGQxYKxaJ0TV2/OF/j+8+2S54Oui4Xt9y+cYlUl0rHzwLKIpm8DhUny+pIzF5kaMc9YjwUblSpPB0345nzPbix4sbz0XGxdODCfzw9ff/gRakeGxn8uvbpDAnujVHJ6XxB1xnQXuRtoEy0V/vPDcBKF3Ga80TYLvODvGuWceI1kbuffOQBvHHhGjLZAh4v3S+1xEdZDdu7jhgZQXyucTFKN76VajS5vdfU5xKQ79d08YUAYwzVFMYYmnlMRwHVaiBn4Tg9Q+px1b4cdQaBbgzUxdQNbjtQ/tLxG2O1bSqJl2frqLvYIMaYG3GdFq+bmSzU7GAK49ACqBtv3bXdxs1tR+y1AydDYU3bfLz9/iciU463z20BUu+Dati4Zbjxuce9NtGQhQfvrRfeBwrPkCdHVQZ2y7yjMeNeHiKn8/pyXoYntZ8bq2WjoTw/1HH5xRcGUSjKmUa6cCd5i0jHifeNPDfnEymHzpN6L+l+8eK8lIXGQYapOj9lD5+sqaR6glTYBqBsdPFstPGJSfEZEaf9PEDqBgSQs+z4M8KNV541qRrcgHMzduDYTyTPTox5xtzef25ZZbrQ83TBEKgNbmtMRwHVakCkw31b2l0NIX5cpeRtXb0xgkrSrASqcrSODO03xmrbOPmU+kltPNn9NUGCVOsUAU6l6/6hUdRF7POpujhERiVDyCpdm16gZ3uexl6NVgxBp4VEhNJdm5ZpdVMAmQhOWi6kfk2IRcPCY3J69AYa6yNSptTmlS2iurftjbCJrUQYVrWvaN4QIXXpg/MwsGODg7/EvS+8npp9bQtX+zrx3BMLURcJlaq828Vfedt5DS3eDn6/CFTjqrE+IupSEYl65+EzDvI46WDt7nxMkKs52X4smRELLY35gWOXsKr3uFTvjEDte/v9T8SxdF+5x4r0dnqfbReG4PlEyjHGdFx5zCAMIeo3n98drU2ilpaaNHBw62qhSk6Gy1gyUxI+tO+T7pkiuQmdACT1l39GxGmufK0DZVjS87Z2cbOYu7FoWNJH4vNocDghEgiefOQBB4lZ1IsLW9i2rg1nezbhal+n6DtpFJUFHMOO51F9vugezFXviyFQG8w5eJHwZhJBSdnVkrdJtdgrk43v4ndtWuZLLgecytE6MjSNccgq7wK590BtG39Re/VVzT6jxRYoixOScGLYss974Nglkfr9eCl7iNLaG8TuOyba5jfeutCIyrtQx4Uq3nMFatVzUx8J4b7GOkEyXbu4Wdrpv/3+Jzg9ekMYIfSTL46qV2bbujZBLiZD5/uKFhGHSpZOJNPoevkdibS79MFfcJB46d6QAUTkZa74q4bDuAQAYIf9qNp5jJUbUXf4knJy6d6/eGQEr7z7kYNsTAj6rE9MlseWe8w4zwiQvUvk9QBsMUM7Vb0B2zd+Reup+2ziFgZ2bJA8aXw+0bNB4S4VOiFNLhpJUMtREB8qHotI4rPbNy7BovsbHWVYyLtD6OxoEZsJHqql+855Ovki8MaFa8gX7Xm7vu8tiU8WCYUQCRVRHwlLyvIhy0K+WETIsoRwaRHArVze8Uyq/CTuTaR3wVyJAgAmTOYLEyYzmG54xdy9yI8q4dONR8Q5L3zBUwUJvcjTQV9aKheDc2no2moY5ONUWngGpkq85mMGOENpbufThe14SEoVVeTnXbr7NWTz5ZDLZC4vyNr2seUwERk5pBOUyRbQEm/AtVRGaM7oCnvSOUgPCvAWSuxa2YI3LvwzMtm8OL8uxKSSo91CnGq5DQoz+YWGdYVn1eKxnIjOobtXKk8taCFbug43rt30dtS54Tef1NCXTqyTlyIBgukt8ULFaqiMigO/ei4BqxRSo/lA/DdAzxWiua6GU1XhRjofhZfdEhSCitZyEjX1P4j22lRQyfptPEMGBrMMr3RXbgCpx716zt6VpbMFx3e5N4TX96LQlVvKuRsGdmwQL/edh894Empb4w1ip80FJHlqOG8rfyGqbQjidVMXMe7R8POi8QUFKBcRpcrzhPpISDKG+HlzpYHMF8tVvYn/EYuGMDGZF6GmJx95ANdSaVGBHQCupTLCAOOGQiMryks7esr+4yRprkJNYaDTozdwce83JMOAvEW8+KzK3VDr1dH4klFGbcuVDCG/8eWeC13xWKBcaFhnjJFHgTwXchaSvkCsLuxM18mUDCHS2+GGgttcU+cTn2+9r54XxW/58dQOPpZ8U8KfQ5XnRGNA5VtIZ4lAukjklSF3BrUiWyhK/SBvLf2NvIst8QYHARooZxrezGRRLJavT+MwmSugPhISx58evYG1i5vF9dyMSu5Fo+PnShQAMJwhA4OaQxWQ8xMb9OIccX6HelyDhsejAz+OXPw8lb5rZQuu9sk8G1273ThOdKxaCJba2/tsu1SjShXd46KCfrtLutbyPa+L8+0fvCBxorataxO73d6B89L3Vf4ULSics0KV5+lPsWgIuzYtQ9fKshgkADE+xC8h7sz2jUuE0cA9BpO5vOB3TObKhhUZYLwIJwDc11gn1SUjXs7llzqxdnGzCKsVS0Tbnq4VkiCi6iGhCuZ87V67uFm6zyrfjMaM0BpvEKKV9zXW4cUjI1j6nddc5zfn3ZFHkcaLeDq8zplujvF7RmKEdnkZy3FdteixiiIgPJI6cVfdvLc5M2WRTN4ebghZgKQHpQq6rl3cLPhvK1qaxFyg+cbnJOc/PfnIA9JzSsKqdH6VY8YNCx1fkERIx5IZEQKjdwzvKxlZ2UJRCCSe7XkaF/d+QzsWumsSX1B95un4qXAjaw0TJvOBCZMZBAHf0fLaVoAzxbpWCBpCqib1Xpch4vY9OpY8FNx74Vb6gYu5UYZWkPbpUst1oR41NOM2Fjy1nmo5kaaM7vvUNkrzV+8rfR6ybC9NLBpCfaTMy/HKDAKcGVluYUtdyEKdXzwNvGtluT4Vz3oiQjLPKCJRSVUCQJ1nugzDqUInR6HqTfH+q9dV20Rt5n93S+vmNfW8NIv4ePAUdAr30d/UkLKbLILf/Herx6e2h+sVedXsU8v0uN03NctQNx8pTMg1h/g1eZicxogyLmdCaNGk1tcQxhgyCAK1phh3O9dSS2O6a/norqOK4OmO5S9EeoG68W/cECupNhMvRrdoUbuu38yIkJC6QHAjIGQBv87I4Gr71SKjBL8in6oBpl5bFdqkTBpuDLXGY2IB46ESvsC6cUu86kkRVM4KX+i53o8qL0D/j0XDaG6sk9rEC+kSgZhrNFUCHlZVyczlY8oGhG4+cUFOLhCoSmGo/K/dnctd+Xm6grpljpRTYoOnrKuaPKohrsoRcKj3Ws14VMeAgxs4qqSGLuVfDY15vVO8uImAd31HHvLjBp/a5qA16yqFMYZqCGMMGXiBXoQ6bwhQe82k6a7yrEOQYrb8GOIk8IVDXbxVgTigTNjkY8m9bHynTllBaiVsHaGVoGu/WmQUKL/AFzTZxGMu9khw051yE9osGxj6ecLBPQG1KiDMjQrdXNQtjtxA0nk0pto2r2KsfL6QuOBmjfihanRygUedZ4cbp1xbh8i95N05dWVccPJUUChMZ+Dv29IuPFkW7PnpJvKZVYS01PGktlIBYILu/um8gKpXBtCTlIO8U3TH6DxS5H0MslnjbZ6uQtlGZ8jAYIZAO0Ld4gvUXjOpWk2joNBxJvyK2XKeRmdHi+Ak0E8KP4wl03j7/U9w/WZGiDW2xmPoWmlzWTaXfhIv5uDW1VJ/ORdBp08DQKTtKzQKABCEVN7Px0vFLDezNGfybI0lM8gXIYjQHGrxV+IwDZxLoPfZdkkGgBes5X1zAycYz2uISDwrVbNJBbWD17UDZE4Z1yqisaBFrefoCA6d+CmupdJ4uPkeMfY6srI6H2hM1/e9qeWGqaBzhqwyh2oyVxA6RqTndHHvM8JQJf4JaSpRG2ieEC9KnS/UtjVt8xEvCXeOJdNCB4rIvUXY94y4ZIQoI+YQ30V9pkmfqadrBWLREIqAg/80sGMDula2oFAsluZ9eVzV8aQ+NdbJeU66dwkvbkzyFWQs0jU6Wpu0z7fbO4XPNfWYnYfPiKKr5xMp9D7bLgwwv0Lbuv5WUyi71jCeIR8Yz5CBF9SSBNzDwD/3UrCuBWoVPvNTk9WpWKtQy17wXbtO7dcrTKLr45q2+fjRcELoxfBx5bwP8sLURey0eFmNV+4n9xDxUB+BSl2Qt4j6ptZcsvtTmdeOzhGPRXC2Z5PkXeLcpzhT36Y2qSEyNVVZx28JymXhu3U6hjgfau01t/OohWxVqJ4atTQEhXiiIQu5QlEyUHTjTM+bnXFlGzCkz6Xy+DhI44d7hrhu0avnEoiELURCllDk5h5Idc778bVofHXcJTfvIg93AfD0OPvJBLjNUX5tNdztxQVSx3W6wl6VwniGDAxmCJTdQp4Dy4Kyc7fEz1W9x7CoexCreo/V7Pq006OddJAdmRfcdoleKtYqsoUiFjTFcHp0vLQ4F0VW2a5Ny6RdNmB7YHTnV0FeltOjN4RHaE1bs+OY3pJ6L3lhdncud/RJ7Se914uwFz51p0oLA6XB04teJ7rHr6PbifMd9/q+N8U56Ofaxc1Y0GQvLnyskumsqFhObVLHjOYh/eTj+lkpVf8zlrLPx0K9L3WREFb1Hseq3uNY0zYfrfEY9m5px9mep7XZWKqidjRkObKKuEer6+V37DBQyMKuTcskD9quTcuwpm2+MByyJQFONWtPHV86Ppm2jarG+ogmE7MojW1HaxPO9mxCazwm0vwPbl2N3mfbcXr0hgiXZfNF3MrZitzkgSTkCkXki2Wlb9VTs3/woqRSDdjeEHpu9xwZEX1QM+po3tO7ZtH9jb4eZ54hpnp4qCyJLgOQX1v1CPO5tKDJvsfxWESM6/aNS4RsA5dU0CFIlu1MwxhDBgY1wO7Ox+yXaVF2jfOXsLro1QKq5L1X+IxeQFRSQX0R7Tx8Bj1HR7Cmbb5W70g9P0+Jv9rXKfRPLEB68Y8lM1Lq7gc/+KZ0fDwWqSj8x4/RpfnvH7yARDKNU1fGATjLT6zvewsApAKqHEXYixoZFB2tTWJhoLDVom57ceF9uNrXiat9ndIOn0IJ3CCglOqBcwmHV7Hr5XfEdwaHE8gWioJ8DQCRcAj7trQjHouiLhJCPBaVxuPi3mewb0s7mhvr0T80Ko0r/X9iMotF3YNY3/em1O9nHn9I7PABiFIcyXQWb7//CcYnJvHikREs3/O6MI7GJyaFgU/jvH3jV9Aaj4nzbd+4ROrz8j0/xuLuQbGQE3dGvS/cKxayIIzbgR0bxP1UjWhajC2Unwd1XnMDi6d1q3OQzs2lKeY12Pf7vsY6YfS1xhukMCs3pt5+/5MSB6wspUBzintOirCLxQJc3iDsarDw86hQDU9u4FCZFTLoVHADiEqgAPYGz+6zPT4UJk6mcxhLptH7qi1hQRsRv+dYvW8UWlXn5EzChMl8YMJkBpXAKy28VmqrvDwAhSs4iRGAtg06kil3lQchSgdtH3frk3qymvk0FTK42zj7kY/Va6qFPG0xxPLCpaY9qynaXuPEQyX7trRrCa0kIkiyBBw8DKamu7uNXZC0aXUequfi4U8Ki/GCtEA5BMn7Q3Oan09HlNdBVbR2kw5wm1tqtiH/nTK46H4FTWrQyWVwcNJ3Y33EdX5zxKIhXNz7jPidt49C7Hz8/YoR6wjL6nPMM7o+HP+5EE0Mmt6uzmOe/q+GynhbvcZZzf7jqKUStQmTGRjMEnSFQgmqaB9HJW5jqj+UTGdxevQGTnY/JdSFB4cTruKIOpIphx9ROihUtz5gCU8H3w1WSgbnY+Q2zpx8vKCpwRGaoWuSAjERauMl7ZOLe78hkVpVQTy+E/cbJx4q2bauTRC447FIqQBtGNs3fgVX+zpFYc6OEqGbwivkAeHhI6+x494Ut3Gl/sVjETEG/FwDOzYI8UYKi6mGUCYrG0I8xMbbxg0hCnHFomHbC8aeA/KAUfiGzkHketVbowp8EmjunboyjiUvDApvC1AWkqT+fTZxS+slpXn29vufIF+EMHB0oUTOlaFnkYywickcYqz2mwXbu6W2l94Lj7c2YX3fW9KYqfewf2gUp0dvCJK+LrysPse8yG0ynUU6mxfhQzfwZ43Pc7oOnZOeB7uwa1EizquhPH5OCl06+XZ6VfGZgCnHYWAwQzi4dbVUF4x7NtxKcuiIkOQpoP/3D42iLhJGJpt3eIYIQYQWeftqCcrs4TtnQF/+QFdklUApy70D511f5ER+5gRQXlqCrsl37Wd7npauzzPFWkt1vda0zQcASdOGlyDQ4eDW1bj66QQGziVw9dMJwdX5PJNDU8mrQItLUPL7oRM/xYtHRtDR2oQ1bfPRc9QugEreK45TV8a1In7bN35FFEulxcjPM0dikOTZUD0DuUJRKvZJ4OUWdF4YKinCBSBtpemntGNBc4kTq7kxQONIbaPyG0TMPnTislQWgwrP9hy1vTM89BaPRSUCOBk5NA8fbr4Hzz2xEAeOXSqVXcmJhZ42LGqKPwBHGRB67kQqfclLRoaXzkNF7wn13Px8Kta0zUcimUaDpsK8Cln1+ynJAwWUvT4hC2IjQR4uMn7UfqiGG4054C5VMZMwYTIfmDCZwXRAdWX7ZX+o9b04vIq5ul3PC0EMp+mAqhztpS6sc6WrbnkvUTc+3odO/FQKufCsKcCpGk1FW2NR2wC1LLskBtfB0YUReKhMp/gcDVsoFIpSBlNDSSBQFd8DIMKdfLx0An1umjx0DM0rGj8yAHko1W1+6hS5SRAzGrLw4L31IrursT4aKFtQp6TM2+YWFuNGDIX1+FxQjWSaF3zOda1swdvvfwLAaYwT+HhSdqTtF7FBQp1+Cte6Yq5qX1rjMWGw8ewzL7FNN3iFpXXhRS8DXVWU5yFRVQjT6155vddqARMmMzCYRtQiE4Jc2StamiTiqI64TIueW6aVmxYPb+uKlqbAITC3MFtQ8HpElYwTv140ZFdo5yEuTtjm16FjVLf8wa2rBaGWsnwIfFfNQy40lkVAhCJVZEpp+plsXtQ1Kyrtd/IpGqRMN8qe4vc7my+KcS8X4c0LTwhHNGyJe8qzq3RhPDVsQhlF8VhUWoho3EhfKWyVwzQUfgIg3dO1i5sxryEKwBJkbgqpZQvlNHIi2nLNH3Ve0DV4yJfA26bWoVNr99G16Xs7D5/B6dEbIuTFn4Grn05ImlSDwwlx3w+d+Kl2HlMmFf2EcneGx1JSu4AymV4dV5XcrKtDyO8fz6gcS6Zx4NilwM+YV1ia3hv7By+IOmRu3jlArodmlc6t1hnj/aHEgPsa66T+TachVCmMMWRgUCGCpIFz6F7+PI6vnkuNrftlaLi9RHlbP5u45Sv2R5gqd4he8CrfRkXXy+9gUfcglu62C30Sp6ajtQmFYlEYGDsPn8Hi7kF8cP1zqeDnq6UMpVdLO3tuCKzqPSaMQILaDhoberGTwaLumlWO1+aVLTjZ/RQeL13PKv3r7GgRBtqCpoZSMVLijNgXURdJwPZA8MWls6MFDYxrsn3jEgc3Jpsv4sPxn2NBUwyL7m8Uf6cF6WpfpyjCunZxs3TveTFO4tbsPHzGURRWt1Cpc5+8WpyHwo1WzgGJRUNag12FOv+4QWwBUgYdzaGul9+RBC55Bt7gcEJ6Lnh4c3gshcdbm0ocrpA058kopHlM4VsuKkocLo6QZZd5Wb7ndazqPY7+oVHJsOvsaBFGIfVV5bfxeaLjx3HDL+i7SDf31POlS1wweqbcDNd7G8rj28TG2g3qRsXNuJ5NGGPIwKBCVEr89Xr5686lHu/1ElOh7saIgxC0rYA3CTwI6AXPPRY6iNTqfBEvHhnBxY9vAoCo1UULIqkBp7MFaQwp5Zl+ck4KeSI+m7iFfVvaEYuGMZZMY/meHwvSLBGHv/9sO672dUqcBa7Xc3DramFgXO0rj8sH1z8X1yehTUohTyQzWNAUw9cf+5KU4u2mHq1mkmWyecSiIZG9ww09GlcAWmI6IYjRzj0TZEht3/gVADbnSKdWHI9Fcf1mBou6B4XnzILNSVm+53W8VwpnnU+ksKatWXjnbuUKDoNdt9iSztLaxc2O0GkRkMi/Or0dMvaImMw9KsTn4fhs4hau9HXi4t5ncHDravG91rht0EbDlnQ8GUz5IoR8AyEei6JQtD16JE1w6MRlych648I/i/tCzxqFJd28sXyceLiJiPX3NdZ5KpP7gcYnpjxTNId6jo5I92jXpmXiWLc0fQ7Vq0uodGM5nTAEagODCqEj/hJ0VdGpvpDOKNCdS0eKrASqKna2UPQ0pKpRyfbiFKxd3IzTozfw3BMLJb6Eyh9Qay5RaCNfBN4rLW5vXPhnqYr8+MSk8Jjt7nzMMU6Uqk6cH7renhK5M53NixDUxGROIk8Tdh4+g1u5gifPaNu6NpG5Rj/5QtYQDQleDu2AiS/CCd2A7LFqjTcI44+MBwCeKsNEJr6vsU76XDeP1D6QsalmDI0l04Krwkn9nBzMsXdLuyRESPOP83ToGnzOE4+ld+A8XjwygmjIknRwEhplbB6U4gRt6l/vq+fFvIqGLLz9/idiztDzSKAQDyBz5TivTq3bdnDrasmIVHlHRDYPlbhka9rmS9+hMCsZMJ0dLdr7wKEaDSrRnHhM6txyg1tNRfWZ2r6xrDatzgNOgNa9qyQldRcJg6m+62oJ4xkyMKgh1JcW934EjY1X4gnSQQ2p6ITZdMePJTOuO0t1B6/b0XmpYavHHzpxGdl8UaSTq+0slv6ls3l8NnFLeEK4d2jbujaRUUXtPtn9NcH54R4EHnZqiHq/9tTwm64POw+fEUsyCe4Rh6Q13iBEOPlLXg3/8HpZrfEY9m1px8nurzkEHt1qfNE8obCNWnNMnUe8RhxPkSalZbq3XIKBp7uTZ+u+xjqpVhvdt4lJu4K9hbJXhYv36RZpMuA4z8geQ3vsGhRFbcCepyTSN5JISaFTmleEbKEoeS5UzaOmWFSMj8qVo/Ds/sELDqOfwq91kRAGziVEqPTJRx5Ac2M9gDKXbOBcAou6y6FTCrNybpSfN5Z703TeZBKDpJ9+4DUVdWrX3Oih+UgZlSoPkaQjVKjjqfMCTvVdV0sYY8jAoIZQX1Ru7uHpBPE0YqXyBZxT4nU84O6mV40Zr/Cefe2wRIBWj+e/U/HK84mUpGJdRlFwe1TFZR3ZW9c2Ksmxb0u7MFQ434O/qNXwm+68dL2wBbGAcS5JkJf8/sELGEum8fp7H4u/8d00pb0Pj6WkQq2LS4VYaVHhRpYXuf/QCbt4pwVI5RjovhEZl0I/axc3S14azgXb3fmYCBsO7NggvEUP3tuAK6WQ4+WXOvHGhWs2L+w7r2nbpRpwvDQHef+otAp/lmgxLyiJBds3LnGEtaIhS/SXzkFz6clHHpD0dLixysOzKlGZZBLIE0bGO5eOUDGWzGBeQwSnR29g5+EzqIuEpWKzXuDzSUfOdlO3d5sP6jvCa+5w8jkQnIeoKmnT96g4Lm8jlX2ZTe6QSa33gUmtN5hJ1KrgKlB9Ov3axc3YP3gRmWxepIurKraAM/WYawRRQdGgatZqW3nxUv6CV1Pqa1UIl6ebq6rTuhCfOj7qGOoWCLWPVByWwMOGlGnIPRlX+zolNWBd2jtPyeap2/y+TdzKIZsvIlZK298/eAGZbAENpfAOT9nnY8H1eXh6tk4bSictQP3ixOxqZRzovocs4Psaonf/0Cj2HBnRFnblKeYAtOnmVNaFtJXqI2GhG6RTwg5ZNqmYFOHp7+r8JVAqvhqmqgTUhkQyLfpJxX7L48T7Wm6TTuYgaJHmSt5RquwHaREBTsVyoPIix34wqfUGBjMEL1JsNaglobCSrDDupre5H3kpXZx2h+cTKZZ6LLdx27py3aOGaLiijDS1rXyn6+Vd494YNwS5R3w3fz6Rknbe6j2xF8m8WID8VLHd+kjZaPFYBGELUninLhLCc08sFF4O6jvttikzS22f6hXj3pxkOovPM1lxnUwpbT+dLaAIoD4SRms8JqWM87FYu7hZpOSrHkFeFBUohxpV5IvAniMjwgugjpnqneDZYhykbv6zlzq1C/KhE5clQ4ins7uFnPi1aVzIK2Xfp3K/yTvD28EL2AIWrvZ14mzPJlzt63QoKzdE7bpyapiqEtB9jzBP2OcZ+7nhIU3qn07mgB8LFKVwGEEXOgsa2uLjq2Ya8mN082qmYQjUBgZVon9oVOyUOXExaO0jHWpJKKxWUXr7xiXC88G1aUjsjUTpdG0kEUHADk0F9W6pbSUidGu8wXMM/YingBxKcxuPbevacOrKuPZc6j3hJT/o3JxcysF30WofuSK1ajhQaCabtxeo555YCEB/T73mDI3PipYmwVHh3oi1i5sdXh17YbSxoqVJKmRL3hHe1zVt83EtlZYW0QhTHy4UiyI8Fyp5nciYdkvdJ3KurqSDl1eCCzcS+bpY6gdfzPl3VTJ3z9ERx7zX9VsH9V7sPHxGiGd2tDbhvbEUGqIhQVQmIjql1nvVFnS7FqlrA3KIjzYv5JklcVHuGeLHkrFE/LEg3h+/49Sx1j3LXgkpMwljDBkYVAnuGeELqC7dNyhOXRnHtVRalFKoZdgsKLxeTmsXN3u+oE9dGRcvZjcDQQed+vDJbn9DjowD8iDoDFBuMHmFZVRDg489d91vXtlSWuBC+PpjCwRPRHevuNdGHYv7GuswlkxjQVNZ8Vkt2MoFN93GUpedRcfrSsB8/bEFUpmQXZuWOeayakABTo0fwhsXriFftH8SyEPYWB/Bk488IIVgv3t0BIUi8HEqLRUlBWyPAc9iozATccnU8eQhyyYWkrqWSjuEEJe8MIiQZZXqoMnhJBv2N4gfQ/f8lXc/wlgy7cjW87sXAOcd5UUKPwfNF55pSG3w22DRtXTzTrdJcAsj8/tNIVFdwgPPkNWVUJkLBs1UYIwhA4Mqoe4CqeaQmu5bCVQvBn8pvfLuR1V7nILAy/DyWtTV9hO4gUB8Bbe20/mJOxA0RZjgZYBygyBICjLxlYjXofbZzeOmGiI2ispPG/1Do6Kt11IZUWaBh750/6fvuhvI+usBMhGWxnl4LCUWNPLGHNy6GmsXN4sFmp9ZV+BTlRgAbC/T/sGLSJUMY84bI95Ioei8X2rJDWpTMp3DzsNnHM8chXTpGALV8SLjOl9E6V/RcSyBZ2GqYVP6SWM/PjEpyNOqBANQvkcrWsgb5KwHxg0n8kouaGoQ7XDbYKm1zbjh/cq7H4nNRBCuHlBOACDjiZ9PNYy2rWuT2rJvS7t2frrVF1THp5qyItMFwxkyMKgSqpAbvTBUWfpKoCudoFYAr8bjFARefKWgQpNqpfaykZPxbDudn6q2V6t+rQPnDKllUHTcFFooieDKBe28srV0Y+RWXZ2P8YqWJhw4dgkTk/Z11cwhWpC8ZA38rsfbxz0cVPAVkEu+UOZZuJR1Bci8G47NJZHCzUype9u6NtzK2byqV88lpDELIvVA/efzQMer2b5xCWLRcMlrZe/tW+MNOD16A2va5uOziVvofbbdoSKuVp9X2/XKux+J//NnksY+rYRKCZTy/92ShEFZ0PEb2LauTXy+vu9N6dpcfBGQsxSd41NWwyZQu4bHnKVMCLq5S38jjpcuxd4rQ1bHH6LwXzKdlbLw+DNG7XUTDJ0NmGwyH5hsMoMgmIlw1lS4SEHg1oegPA3d5xTGoN27V9vdzsMzy5yhDRteY8OzuMgDQzwLqqzNwTOAiJtK31/QFJOyY/zuuZrtptsRc0kCXTaNWqwXcK9yv/Q7rwmuzgc/+CYAZ8YWz0iLhizkCkWR+UeZXqrQoHo9vznBlaNJhNCuHp8VY0sCi7s2LZMy1fg9pKyuTLaAzSvLVdu9so5W9R6XiqfqMpncshz9igHzFHEC9wzx75MRyb0jfud3y46k+c2z0C7ufQYA5yWFsPTBeTifSInQKw8H67LF6G+xaBi3cnlHwdhq3mXcMwSUeWaq2KUaZp6O96bJJjMwmGHMhHjYVDxOQeDWB3r5UxFHNSvLy1NBHgLAXoC82u52HjcNFaC8s33uiYXS2PBdMAnkrWhpchgeqiHU0dqEsz2bhCchX4QQy+vsaBG7ZBJ79N/V2tbUxGReEqQkTsqpK+NMm6mcIca9WfS3fBH47tERz7nW07UCsWgIuUJRFBhVd/3c25LVGEJAeS6cujKOnqMjWNM237H715VpIHAdJtIKWtM2X7qHhWIRZ3uexrZ1bdLxfI5QVldLPIaDW1cH9lACttAmN1o53DyP5PWIhixtv2hcKDusNd7gIP4TyDuyf/ACVvUew6LuQaGfpWaXEXTZkTsPn8H5RApdK1tEHbBcoYglL9h6UwPnyorlAzs2uJb3II8g9wzSeH79sS+JEijqc+jlDdVh27py7TsqF0L0AQK11+5r2lHWZDZgjCGDOwq1TnW/HeHmiq8W9MLMuKQB+y1QQVP8K1noAL2iMoG/0Elf58Pxn4trkLAfX9Su9nVi0f2NUjYVYIdtKP2bFkPi31DoyG3e0fXs85SNMJ7JQ2hurNeqIXMjpFD0Xpxs49NOlacCow1MWA+AqL9lwV70Y9FwqfK8E9SOgXMJqX+60BpHWXDPXmJozNRj+P91c0SdE0E2HbQA7+5cLoV6KH27Nd6AgXMJrbL3wI4Nwkh2M3J3Hj7DwpByuG1NW7Pj+Ey2IIVeOdR7qVMpp3p3A+cSIjkhm7cz9Hi4jhcl1o0n5z4R+Hx2k2egZ0kVngwCfr9oM8drxulEU2cLhkBtcEchSBr1nQ4v3kg14TzirvBwi+5zghqWIUIu8V6CZEVxxGNRJNNZqRI5YOv9ULhnTdt8iVhKmVr3NdYJLk4yncWLR0YE18GGJf30ejkv3/O6RJoFIK7nVndMzfih8Bihs6Nc14qnpqvZQDzLjMI9vQPnceDYTxwhRF12EPWX35sriuidShTfefiMRKCmBZlqzwHuPKKDW1dLCywZJBQ+mczlMXAugYFzCcRjUezatEz7vHplNuqIum7ze9u6NvQOnBflOYAyf41CU5RyTvfBzShXkwQ4Bs45583mlS1448I1yXChZ5MMjRePjOCVdz/CwI4NrnXrVIQt29ik835w/QuRnq8j+XvJUKghXz52PIWf7ieXodDdNy+CtNo2P2mMmYLxDBncUahEaPBOBfd2qPAKafnBT1TQjYw51evSTp+XzwDK2UsWyhlSLx4Zwfq+N6VdsPo9TuJWd8F8/tAOlgwfvpjx1Gtep8lt3ul24IA9puQ5evv9TyQBR1q8dh4+g++XuEIc9sLuDCHSfSJtIo6g5UvoWB2oVhfVLztw7JIQUVTDe3TerpffwYtHRjAxmcOuTcuksQxS9Rxwejw5UZcTv93mmS4kCpQNExIjHBxOePLj6iIhWHCvyUWg8i9XP50Q/SUOGj2bfMx1yQU0hvu2yCTwrpV2ttjFvc+IeZrO5kVNPZ0Hx+v59fK40Wc85KWbR14E6RePjGi99X7vlJmEIVD7wBCoDe4kTAfRm7wNtEvVlRio9LpBUm/VEiKcIEugkhMkOAe4k7j9SkNwzxBAC5rlS+jV9UtHRiZ9nWjYwgf7v+ko30EkWiJ9t8YbSkRwWwZg7xa5LIWOMFtJ+QtOgu4qaSsVYRuf5FUisrI9HjHRB5WgzInDrfEYrt/MCOMkHovi4eZ7hCChG6lWJR+rniEAnindbiR78gyRj5BI17r76Vaygo+ZOr683fu2tEtp9NdSdr0yUlrnnLegz0uZBG0/d/Qc6u67zltYDdR+9g+NSs/fvi3tOHDsEiZzeckQdEv3n64ElErWb2MM+cAYQwZ3KqqtC6WCFm0LQAuT3p8KeAZVvui+OPE+nB4d14YGdYaCVz/86qnxxY1rSqkGltcLXrcwqwYDF6CkBefQicv4OJVGoWjzfXq6VogQnbr4cUNmKvdXFcSkBfW+xjrhzeCGhO6a3JDct6VdtNmCXTmeDCoArvfcrw6dLjMqaL/pu/FYFI31EdfMOcDb4AKcz5WaDcmz+ai/6nzzMrr8aoXp5p16zanWAOPzi28KgPJmo5L74WdkVguTTWZgYOCbBTJV8iKdn0JEDdFQKUTx06k0GwCkMIwXqZr3gepE8crkgL1Af/foiAix8HHRaRD5hVgpxBGPRSTtp52Hz0jjrYZs+LV0mlE8k0lXFZzOR9EeIvnSIjcxmRXn5/dUJS5XCroutYdEGnnb925pl8jBaxc3S2PBPWqvvPuRGOuGaFgyhACbCKy753R/VUOI7ueatvklon++4nm9pm0+whbw5CMPeOo6bVtXrr/HQ3F8TqnPFdULI+FIqv0WU4jtHF7JBOq8UkNcupAXjXdHa5PI7PN6N7g9IwQ+tmPJjBTOI+Oe/ra7c7k2FOYWUp0tGM+QD4xnyOB2RTUu/amcXw1j1KqiPEG34/XqAw+j6DwP4RIpmV6A+wJ4jwi02+dQPRpqe7nniSrS0y5aDfl56T2Rmnc0bOGZ9occpF1aYKkmlleNOK8xJQ+QGqokr1Y8FsHnmZwY+198YRCFom2EPsT0mE52P+Uou8HDXJO5POojYXGfvLwDutAY94xxbxUQ3Cumq2TPNX2ofbs2LdMqwfPvr2mbL3R/dnc+Jmkocd0qjkq8d6qnrhwWC/6c+VWoJx0ut9Cn6hkKel3uESVlcJ5ZNlUvtQoTJqshjDFkcLtiuoUg1fPzxfBnL3X6Cszp4GXcVONKL7/cbbE/tfYXCQIClYUOeN+6VrbgR8MJ0fdfL5WCUMedLwSAXHqCQgwW7Owjv4VBXXy5QVTJwkrhKy7ipwup8GwjMj78OCDc0LHrn/1UMo6Jb0TZZFxc0a1GHNeJopAWhVN5Zh5BbSM3ymIlY8VNZJKLBJJoYGs8hkSyXPeMZ6Dxe87vz/aNS7B/8ILkHVPhF5rVQb1PdJ4gBoXbu0EXLiSOUy34RupzQ/OcvGnVjIMXjDFUQxhjyMAgmPq1+oJ18wx5kYhpoeG7RTcPhQ4qP0M1oHTEbMBd0dkN6nVU5WFa5M/2PC3+ztvCF1o3qAuDl/fIa0y9+rW4e1CQoskII2KvrnCnanyR4aUzJng1de5xIaIvFU0F3I1S7oFQDR7iTKlqx/Y9kL1WBH6f6F6pHCECv8e7Nj0q+scV1QnUZrpHXAGa14IjkNeJQEVPK5mDauICYSoGhar4zcdO9yztOTKCIuCpDs/h9h6pFX9RhTGGaghjDBkY+JcRqATeZQHKmWi0WyTw493KRfCMFgrFTHeZFLv9ZcPv+s1JR0kM3uY1bfPx+nsfI1soCk8VNwYAe0GjLCOgvLi77Z51i4laxsOL7EthO4IaMnQL+RFpnodVAAjvAoFCWtzgVQ2CWDSM+kgITz7ygDBU1WKx3DNDWW3cmzExmUO2UHQ12lXPUH0k7BuaU9E/NIrvHh1BoVj2DKnjwttLxiQv7kr3m5eImSqB2Is0X0nI2i2RwLnZeUsy8ioJM88UDIHawMCgpuDFGacKHVmyTLZ8TJAtVdInP56TSPn/qVhnyLINuAPHfoJrqTReefcjrOo9LvRwKkGQcgSc3JsreTtyLB5HYaOJyRzefv+TUmp8DN9/tl30m9oej0Vw+aVOiZOUTOcE8XZBU4OjTW76QcRj2j94UauQTTovH1z/XPq7Sg5WDcoyATrkUNbmKt9UloGE/LZvXIKGUmHVzStbpIKpzY11ONvztKTFxFWVqU9qYVh+PfI0uRUEJhXkq322Rg/XzgmKbeva8LOXOrFvS7tkCPFx6WhtEsYZYCtwNzfWi3GiEiVkpLoRiCsphXFw62rBSRo4l5DutU6I1e3cbokEKjF7+8Ylkv52EK2oSkt7zCSMZ8gHxjNkYDA34OYN4v+nkJFOc4hQ6e6b74Bpx+21C/fy0nBEwxZ6Nq9wpD/TjlwOvcmeoQUKQdktzEBGGIWP3EIoFC6zryUXGOXcHh72o/O7hedUaQA+DtRuXlS1Jd4gvBeA5eAI0ThM5orIZPN4XBNaqraYcTUeRD8Omy6s5JeWzyGTlP3nrEpS5/da5xmqVTp7NZpIKrF+uopPG8+QgYHBlBFkFzfdteB4G9QUZ9qlqjtWvkONxyLSTj0ei1acvsuPJ88L98CoKdyqqm7/0CgmJnOIRUPSTjqbl+tfqTtyroB9tmeT9Dn3JKhcIn7P1MVJl8bdPzQqDKFYNCSljvcPjQpDirwchJ2Hz6Dn6Ajua6yTUtH3D14QqfeqIrLqASHPzN4t7ZL3gtcUo9AbYHvI0tm8VHuNc4a8ihl7zWdeFsNtLqtzfWIyK/1UoaurpkvLd4NX2Q8dVEOI32udLAFvHx+bagqzBi1SrY6JTmJitmA8Qz4wniGDuxVBdo5BhQrd0D80KmpG6XaHzqyci8hk8w5yJ4FIrxZkocUgwnSAu2dB/Tvftcd80tfdMoti0TC+/tiXfEnhftBlFfF75ubZUdOoCSELqFdIuYCsPK27ri6zjfOCdJ4lDi9eGnk2VG4VQafeTBIEqgigm5Ah9yaSt4/mk5qFuG9Lu0NxWfVOqZ4/3jZnFpfTc1MpqZiuyz1rfjXEytcvj834xC2ks3nEomFc3PsN1+9MlY/XPzSK3lfPI1uaRFMVB9XBeIYMDAymjCBCaFOtBXfoxGWJ56HuSnkb7IrstlfATVCPVwfnL2hVqM6thpVup8pFEi9+fBOLugdx9dMJXO3rRGs8hnQ277nTV/twce8zJc7KNxy1yqi+06Jup7fNbceu8mromgS32m48BMWoOygUgVs5p8GxeaV8j3WcLqlW1coWtDCvTiWgGlfU5+0bvyIZSCFLrhfP7xf1izxN9JnXfN62rk2q/TU4nCh5xez5pJQ1w6ETl6Xaf1xYk66nev7oOie7n8KpK+OSl0nH6eEeRpoX6/vedPXaDOzYgH1b2nEtlRFzirhkA+cSngKLE5M54TXNlDLlMkrGnIqp1Buk72eZNT1wLoGul9+p6ly1gDGGDAwMtHBzf/NFeSqFFu3dMNdyaUDP0RFPdV0/44uTkDnua6yTftLCqCrx6ojifIFXCbpquEoXMvQKI7iFDdTrAuXw0/7BC+gfGsXS77yGRd2DuPjxTQB2iIvwyrsfifsEQLo+FTydmMwKI+lnL3UKMnM0ZDnGV7drp3s/sGODOH9nRwusUlvWLm7G9o1LRHiSjDF1nKg9KobHUo4Fl4rzklgmtTkWDQkDSg2tBbkP1B8KTXZ2tGgX+ZBVJoqf7P4a9m1pRywaQiKZlryFgM0Jc9tIDJwrGymAXFxZZ/TSvBhLZrQGCH3nwLFLwlO7feMS6T66GS1U8LaxPoJt69oEQb0l3uAZAp+qajR9n5PoZzNcZsJkPjBhMgMDGbUiXjoVq/Wp4Dp3fKXES7dwnldNKoKu/pkuRVm9hqppFEQnSU395srCXBOoRdEqokWJh264UCDXWNJ9r5owh3vhU+8x9SKKX+3rlM773BMLpXu/8/AZvHougUjIQmN9RBCRVWOqo7UJi+5vdISIKtFjciPscxXu1hLpG3BKBXBPlnoN75Cg8/nShcB0YomAM2zrF85y+7ySEPhUdIL8QuVTgQmTGRgYTBu8doSVEKr5bpifV9XE0bnjKyVeqh4lauf1m/ZClkpnXV3+sveLdrGWYwevXoPaPTicwFgyjYFz9s/eV8+Lc6vjxVO/iRtDiy1PKd++cYnYUXe0NgmPh6hvFrZErS43VWULcBCQdXC7p24hxURJLwql89OYqrXsOjtasKr3mPguzYOBHRvQtbIF5xMpnLoyDqCIF4+MYOl3XsNAyRDKForCk0FjoLZN57XUzSW3cI8XSZ97aggN0bBEeuega+w5MoJVvcfR0dqkPQ5wPl87D5/B+UQKXStbcLL7a1rvFn8Wb+XyUmmVnqMjWNM239XgdfOYVRICn0qdw23r2vDBD77pSnyfKRhjyMDAoCJ4hRsqeSmqGS5u59UZX5XqHqkLI7WTwl5FwNPlrxYD5WnftIjya3CjgIrNEjhPwmu8OCdlfd+b0s6bLyDPPbFQGGUDOzagNR5DNl/E6dEbDl0YQtgCIiVjimeJ6UI0bm10CykWYXOOVA0fteDrwa2rJS0l7mnj1ySDg+4VaTTx/pAR6QcqyLqmbb74WyXhHhofbshTGHB353LHHOCFSMOWPc+S6ayjCC/HK+9+hLGkrY2ljgVvA79HxHnixkv/0KgIx/k9jzqDt5IQ+FS5g3MBxhgyMDCoGabjpagaSf1Do/hs4pZUIbvadhJCFjz5JLSQk4Fx6sq4MHZ0iyg3Cg5uXY2T3U9pjQev8TrZ/TXRxrFkRruodb38Dl48IvOs3BZ3dcHk4pCcc6J6SdzaSITdzyZuab1j29a1YU3bfPQcHXGtTO7G8aJrkco1UOYHcSNRhZtnhnB69AbyRfsnHxe690RUdiPylr1rljDkubAkBycv9xwdwYKmBsGnUtPZOVSPm5vHUfVkqcaLeg9V0PW7Xn7H02gKkmrvZTjNZaFFDmMMGRgY1AzVEqorCa/pFgOvRUz3MqZ27tvSLpSgvUBE4InJHPqHRiVjR2dA6QwIVQOnf2gUp0dvoPfZdtfxokwx0ktSFzUeouJ6Nm6GHb8/POxGY3ozQyn2Re13VHh5xwB/T+HZnk242tcp1bVavud1iYhchM2rIU8YFbbl95/mD2DzzU6P3tAuvn5eIL/wq9f33cKmgG3UjSUzKAJobqzHtnVtrkaNajTTmAI2j+e+xrpAnixq674t+vlF1+d91RlNdNyBY5eqMmqmmnU2U7htjKH9+/fjV37lV3DPPfcgHo8H+s63vvUtWJYl/Vu3bt30NtTA4C5CrXZ9lYTXdAuS1yLGs7DUtgfVSdm2rg2TuTyS6Sz2D14QC92KliZt//2Mwv6hUUfmHFDOrFrf9yYA4LOJWwDK5ThUdWkOLnzIj9G1TzXEaEwphZxzYbyguxf8mtwodBM2VA1hnb4Rb7/umnz+eC2+fhmSPDtNBy9Dk1+Xj6/qpaJ2b9+4RMpEo3a4eT2pj+cTKd8sT45TV8a1f6dx5PwlTjRXhTIBVGXU1KLUyEzgtjGGbt26hd/6rd/C9u3bK/reN77xDXz88cfi32uvvTZNLTQwuPtQq11fJeE13YLkxSGidOyMsshW2nZ+HjJ2Ppu4VVX/D524LKVAE1S9Gd1nPKRFiJVqhKntcOuj+ncaU0HADlmBFin6HmBnNBFhl87NjULVeKF+vKqEaMgQiUVDaI3HUIQc8tHdf506932Ndb7eRjU8SLwknbCjF1StHj6+B7euluYntdvWzSpIullec9LvGXHT0iICvxtBfGDHBk+iOR23a9MyyTsaFG4G5FzzGN02xlBvby/+8A//EI8//nhF36uvr8eCBQvEv+bm5mlqoYHB3Yepao0QpqJXBHiXYVALe+rI0EGgngeovv+6zLn+oVHBj4nHIsJzRcYB8Wp4VhiFQajwp9oOHWHYq92L7m8EYJOUK1mk+MKrGnmreo+JornkJbGLx9oeO5ILoEXeLlobRX0kHPge8flDZTyoHAgZGrpQLB/LeCwqiU+qRpTqtVP7z7V61PF1m5/cwCHdrZBiIPM+dna0YHA4oTXw1GtSaLcuEq64DI1uflRaTsQLqvE4F3DbGEPV4sSJE3jwwQfxyCOP4Pd+7/dw/fp1z+MnJydx8+ZN6Z+BgYEefkJ2ZHjsPHxm2lzifu52HbGUk6EBBGqbzmCrpC5T/9AoVvUex6re4wCchO0Dxy4Jps5kriCI0aQG3VgflRaRXZuWSanf5JHg/VAJw6oQ4yvvfiRxrXT1sNzGV82Wao3HROYcN/IoYyyZzkmV1TPZgvh/Szwm3Z9kOotkOuvIiAsKHXmYPFCvnitnZfGxbKyPSErTkpr2y+9oVaL5WKl1yIK0m+bU2sXN4ryForOmHG+TLpysC/mS8ZLO5iUZgiCoJLOzGqjG41zAHW0MPfPMM/hf/+t/4a233sKf/Mmf4N1338VTTz2FyclJ1++89NJLaGpqEv8WLlw4gy02MLiz4OeqJ0yl4Kubu93NEFNf6DPhrqesL1rke46OuBpfFuSQHhkYZOy4LSK6fvC+cp4SkWHdMpe6VrZIhW9146NmS5H3KcFUsoGyR4u4P3SNzStb0Ptsu0MJnLg0tp1UxJIXbGPNzWDVGWucPEzFa8nrEylZYG7eHOLQ8HAU56Kp2WxTrdFFbVHPr+uXW6jM7R7VynghVGL8u2EueoWAWVag/t73vofe3l7PY95991189atfFb//1V/9FZ5//nkkk8mKr/fxxx+jra0Nf/M3f4Pf/M3f1B4zOTkpGUs3b97EwoULjQK1gUEVUFWY3RaMqRR8dS9+WVa0zhfl4qU6leMgCtHVgisOWyjrGnEFb94PtwKbXgsvL3zpVfQ2bAHzGqJIprOIlgQMvZR/1WvS7/c11uF8IiWKtfLMKSj9W77nx9rin6RcXFcqDEuq1WrxWIKu2KufIjp9TuNO5/BSulahK9RbViW/UbUiO51nRUsTPrj+hVSEOKjSO6lyN0RD2N35WEUq015tqkZNOghqpWAfBJUoUM+qMfTpp5/i008/9Txm0aJFaGgoW+JTMYYAYOnSpfjd3/1d/NEf/VGg4005DgODMiotgxEUtXgBuy3aOiNHVw5hOl/SvJzCxGQek7k86iNhUU6iUrgtbmq/3EpK8P9XWuKEjxOvUk98IPqdn4eXEtFVvrdgh8rICCKjiAyuUMhCNl9ENGShUCxiQVMDrqUy6OxowdrFzYHKTajzgBvgC5piFd173p+9W9qr9gzxNgDQlnPxO686trrvVTK3dRsTm8+kL0NTKWrhSQuKStbviOen04z7778f999//4xd77PPPsNHH32Ehx56aMauaWBwJ6HSMhhBcXDr6invQtUMGPqnA9WU4iEJ7rqv5IUd5FgyCtb3vYVkOouwZWcsUVsJXgYJv47aVwJ5eihFnB/Hwxs2B8YOZ714ZAQdrU2+95YWxHgs4jCEwhYc2kLnEynR5sdbm3A+kXKEd4gQTEawX50wIjsTv+bVcwnJwHHjzpCgIik7b1vXJl2bG1RB7mdDNIx0No+GaFiaZ27fdbuvvA00dvR/r/nLx4W8GQ0lor1ubtCc8VJYp8/VNu08fMbBl5rKpihIv2YDtw1n6MMPP8TZs2fx4YcfIp/P4+zZszh79iy++OILccyjjz6Kv/u7vwMAfPHFF9i1axf+z//5P7h69SpOnDiBzZs34/7778dv/MZvzFY3DAxua1RaBmMmURk/wpJ+cv4IAEFeVrWJdKC0bEp19yJ0q0Rjta1eBglf5Nz6yktW8OupOkB0fkohp4UNKN9blcdFC2EyncP2jUskEi83cnTaQucTKfQ+W+bv0NiopHQdJ4XX11IRCcsCjF78L3Vs1Qw0um4QkcHdncvRGo9hd+dy6e/q9UkMVL32zsNnsLh7EG9cuCa0nirNqCQOGGDP4vpIWNIF4irXgJOwz+epKgWgCmcSaPMwXZui2cSseoYqwXe/+1389V//tfh99Wr7Rv393/89Nm7cCAC4dOkSUin75oTDYbz33nv4n//zfyKZTOKhhx7Cr/3ar+Fv//ZvMW/evBlvv4HBnYDZLKRIcNt9V7LjVHfK/He+kBKROYi3IJnOouvldyTtIfVYvzaSh0ZnbPI2up1H9XjpvBa8FlksanN1iDfz2cQtPPeEnTTCM5cObl0tnfvAsUuCG9TR2iQt4NzLRwt2vlgmCbuNjRt4O7pWtkgco8a6CBrrI9i+cYlUD05nELuNrXpvaZwnJnMV30d1XqnGAl2bFMx13sGg4FpVxAFTPYAUHjtw7JJj/qrGtZvnSPXeeY3l7YxZ5QzdDjCcIQOD6UG13IHpJmD2D41i/+AFZLKFQGTW/qFRvHhkRPy+rwoOid9Y+H1eJtGGsbtzufYY6gPxcdwI59RHLx7Xqt7jguDsR3pXeUvkQVP5Um6hF2qHH0+oWhK+271VuUbEX9KNh1vbvfrESc+Ak8PlBzc+mOpV48Yj7+NMcndmC7cNgfp2gDGGDAymB35GjR9/xOslXusXvd/5pkos55leXKNH/dxtrMgQAJxZakH7oDMC3UD9BWzitM44cTOm3PrCyd8UZuPfcyNhE3TX0/3NjWjvNs90mW1q+3SEfDdMleAcBKoRZAFoKukpuT0P051F5obpNMoqWb9vG86QgYHBnQU/jo/KvyAOy6kr444q9iq3Q+XxTBV++ipeCthBsH3jEiEBwMN0/UOjWL7ndYx5hH8Ae2G2AMSiYe0xXgs+jZ2uPIQbzifK4Z/B4YRQk+b3yq0SOr/vnJfEQy667xFBuIHVDePt13FudCKF6rzyKxcBQNIf4u2j9pOWUpCwkZ8eFEe1+lvUbxK2LAK+AoeV1AesBdRSKNOp8xUExhgyMDCYFbiRZenlr5aScHtZT6doohcZmkiwy/f8eMrK2tvWtQkBQl5T69CJy4LkfCtXcF3MDm5djSt9ndjduRyHTjgLttIYqUVS1bFzE/VTx0GtyJ4phWBoMXcjV1Nf6b7ze0oGZddKfRuo5AiFlXT9UoU2V7Q4BRSDEu3pOFL6phpevH3U/mQ6F9gr6FbqQmeQVWug6IQt/fpbSX1AN1RivKnG5mwLMJowmQ9MmMzAYObgpf3i5sbXeT2qdb2r1/AKXwQJTenANYcAy9Fu4h9RyCxo6Arw5r/w8xKnJug4uZ3XTX+Giwl+NnHLk+ukS28PGspR+0VzhrxshH1bnKHHWoA8YAS/EFmlUMOv06XzVStUwtuaCc6S4QzVEMYYMjCYOVS6OFZzXi+Dghs4bsrE9BIfn5gUfIy9FSy2nF8C6JWa7b9XLnCnLjB88Vx0f2NFnJAgBF2++K1oaXIYebT79zMWedaZ17G6xVY3Z7gGEgBX0njQ/nt9RzVQarnIq0aoFzep0utOB0dotnhHbrhtRBcNDAwMOFTxRa+XeiUvfzVN3A2dHS1iER0eS2m9Gty9D9h8jEoWPUpL5kYDIVMyhADgWspZENQPPG2a+kA/B3ZsEMYCcYS8wENoa9rm41oqjVNXxqXv8bRrGjfSI/JL2SZwQyhsQYQJVSFCXrWdh3LUVH4AWLu4GW9cuCZCjHa75DR5bsR8cP1zpLMFxKIhXNz7jOTxoe+4ecFUD42bIKYX3OayOn587qzvewvbNy7BK+9+hOGxlBDcDHLd/qFR0T+/Z6KSttdCPHW2YDhDBgYGWvhVg59tVMIVCsqHOLh1tVRYVD0/V6omLZ8gpNn1fW9iUfcgFnUP4rOJyRJH4isOIjgnB89riEgV5YOCjwv1hX5yjo3feTm3xY27cnDravQ+247TozccBUxpYffihVGbyBDqfbZd1DsbHE44rquSpNU5yvt+ce8zuNrXiat9ndi1aRla4zFMTGaxqHsQ6/velAxFMpro56vMq0SGCFdh9nomgnKS+odGsar3OFb1HnclEZ+6Mi6MUKBM1AfKYpPUj2yhGJh7w68zFY4QAEGe3z94QYhMVjpn5wKMMWRgYKDFdBKT/RDEEKtEcZoWUVUBWYfPM2VRQvX8XKn6ZPfXAmeQ0UJK/6dxVVWASQvmal8nkmm7HcNjqYqMUj4u1Bf6yftCi6hKOqbrcEPGy5ikeXItlREZV7zqvQrVwKH2kqQAZcbVRUIOArQ6L9SsQbc5QX2hMR1LZiTF7VjJCI2JjLVw6few6Ac39ryeCZ0BqLabvGHJdFak7eva7WaE8n7yfgStKE/f37elfcqeHBImzWQLkoFZTRbcbMJwhnxgOEMGdytmU5TNTwiv2jYF0XPx4j1UW7Ps0ImfCoOIh8cOHLskCpPu2rRMy/eh8IcXkdytzbq/qxwXrnHkx9lx66eO7+M2VkF4Jbr7pLsOiT/qqtnrz2uHukIWUCi687IqrTHmf11Z8JK0i/z0f+YaB0cH3sarn05IqtuVCmDWGoZAXUMYY8jAYObhthhVK04XNLuplgjS1iCLuToWOhIxJ35XmjnlVtW9EtRaSNDrfFyYstq2uxGRvYwdLjRZ6SKvCjh6EbrVvq/qPYZkOod4LIKzPZsCX3M64WekzRUjzhhDNYQxhgwM5g7cjCS/BaPaUg3VtAtA4AW6Gk+XbqEhjwfg9Ozo0tFnwuPHr3Pqyrgg7HYFkAjwO1+lCt0q3MjQ3EjiYSuVNF/LPqh/qySDrNYIOje8nqe5YggBJpvMwMDgNkA1IQe3ApnEBaGfKnRZSLVsFycmU/HTickcGuvtV2wtissSdBk7PPPMi3fCwxheWUdBaqHxBU+3APK+7WG12149l6jKA+U1VkGy1jjcJAsoWysasiS+3FgyjWjYQjZfdBSmrQScEK0rmMoLxVJf4rGIMPRrDXWuB82E83qedJmbt0MdNEOgNjAwmBVwsuVUoWZNqTi4dTVWtDRh4FzCNdOFSK5u7fIidcvp8TYJGihno/FFptosPbfv7Tx8RoTIdMRlTn7mfRpLpkXmjy7Dy4s8rxJ7/ZSSeZacZTmz9KYKv3IpQUHZWj1dK4RniMjGPZtXTKnkCqAfJ5X0TX05dWUcS14YxJOPPIirfZ3TEiJT53rQpARd6ROCjmw/m8kYQVGVqZlMJnHs2DGMjY3Bsiw89NBD2LRpE+bPn1/r9hkYGNyhoF14kNR0Pzz5yIMYHE7gyUcedD3Gz/iiFzYRltV2Edn5u0dH8OKREclztG1dG05dGXcNR9H5uRDhoROXhUYMP5dbmGH/4AWkswXsH7wgFUPl4oJrFzc7+sU9SSrBlcaDp7Mf3Lpa62nh7VI9A16egv6hUdRHwiJtvVisrPzCbHgVVC9Ura6rGyc3j1dQbaxqwTO9aK5X46kE/LWGKvXczQYq5gz95V/+JX74wx+is7MTra2tAIB/+qd/wuuvv45vf/vb+Df/5t9MS0NnC4YzZGAw9xGEE+QX/vJbdInszFENh4Nf50UWPqJzufVFxx3hxGnRTxc+CzdmAAgjKhqy8MzjD3lmqPHjK+VdEQcmFg3jVi5fMZeEvs+N1CDeGTdeEAfP2OvpWjFrIRzd3Jtu7k0teXRTIctPJ6aVM/THf/zH+H//7//hF37hF6S/7927F2vWrLnjjCEDA4O5jyCcIL8F1G9XTKnvE5NZJNM5h8igDrpFjl+He4Yq6Qsgh8fIywa4exK4p4E0l3jb1O+4hb7Udnml71PbAPIO/BQD5xI4PTqOk91fCyQTwL1pgLtnTx1rVSSRDE9SmebnCqrc7IWpeLB0XB3uYal1NmT/0CjqIiFksoUpiy4C/p6fuUSqdkPFnCHLsvDFF184/v7FF1/AsqyaNMrAwMCgEnhxGDgqqaqtgrgcjfXR0l/833d+XAniqHBDza0vVC29a2W5TAVg7+wHdmxwrfZOULkcfjwbfjz9X+d14kYTKW1zg2V4LKU1UNTv6s7HDQwuLqgDjXXP0RH0D40KY7U13iCNPy/RQeeKhmzdp6morqv3upJz+XF1aEyGx1Ke8ynoNUngsyUeq9o44c+S31zy45TNBVQcJvvRj36E/+//+//Q3t4uhcnOnz+PP/mTP8Gv//qvT0tDZwsmTGZgcOegFqGBaoUXg+zkKzmedtsLmhpwLZVx3XW7nbNWXBy+6+f8JQ4Kn3DRw+8/2+7gWannOz16I3D4xavYK/cMAe5aTLXQRrp+M4Nsobys1iJ0FNQzpIo70nHqva7Fva8kvX62PEPTojN06dIlLFu2DACQz+dx6tQpJBIJFItFtLa2Yu3atQiHw1Nv/RyDMYYMDOYWpvIir/alHETcL2i7aqmXA/gbeG7nnA6eh8rT0WsiBb+u11i5afZQaQ6dqrPftasxRtW5pNMqmikukiruWDZCa3+vvZ6l6db1CopK1u/AYbKOjg5885vfxPHjxxEOh/HLv/zL+Bf/4l/gX/7Lf4lf/uVfviMNIQMDg+oxlZCUF6aSphs0nOZ2zcHhhOu1de3SFa70av99jXXip9f4UThqfd+bvkVo3UIwldR2I/iFYaheGxGWT4/eQL5o/wx63aDhF904blvXhsb6CJLprHZ8va5dqZHtFvrhdc7I8JhKweNKniMaLypMS/2s5l4T3O55pen1cx2BjaErV65g7dq1+J3f+R0sX74cf/7nf46f//zn09k2AwOD2xjTxROYyot9qtdc0GTzUMho8WsXT+enxcSr/ecTKfFz4Jw9frrQE+fe+Bl4bgZFNdo8lRqiur4G5ZcMnEtUVajXa3zp2gCw9DuvSYZqpX1zW/Av7n0GV/s6BUl7qho7XvNABzfSvjrmXkYW/6ya9ley6ZiuTVOlCGwMtbS04Hvf+x5GR0fR29uLv/mbv8GXv/xlfPvb38boaHUWr4GBwZ2L6dodTlVgz8u7ofPk8GuS0jMZLX7t4mRfWky82u82ZmpbOTm4UgQl2eqOI0Pjvsa6QAuYKiDodTwtimRwApVXh+d/B2SPDO/PoROXBa+nUsFBmiNXP52QasPp+tY/NIrrN+05ozOgpwNBjRevzQr/bLo3H3OFXB3YGEqn00gkErh06RJaWlrwH/7Df8Dv/u7v4tChQ1i6dOl0ttHAwOA2RLUhqemGVzjLT5ixUgNvYMcG7NvSjlg0hEQyrV0wuQHGx0xnSBHUcFQl8FssKQT33aMj2jDUye6nhEgj996oxhMP5QVZ8OiYa6kM9m1pn/ICrGaX8X5v37gE0ZCdDcgFB4MY2eoccevbzsNn8OKREWF0cQO6kkwzNYvQD0GNF6+5zD+rlbp3Ne2YSQQmUIdCIdx777144IEHMG/ePNx7773Sv//23/7bdLd1VmAI1AYGs4fpUB/WnZOTXgFUVJcsCLwIpV6FOCshEAetbt4/NIreV8+LOltqP4MQgFXl645WO8vJrcBo18qydhLXN+LZZABqmnGkZpdxLZxKa7JxYvh9jfWSeCcnEvO+0bUBW4Rh88rqSOS3C+ailtC0ZJP9q3/1r3D8+HFs27YN//7f/3t85StfqUlj5zqMMWRgMHuYqUWjmuKslcBroaj22lOpbu51rNtnuvRsNV29d+C8UIn+bGJSqwBN7eaYinK4DtTW+xrrcD6RCiw/oGZh+Y2JCn5P1rTNd73nOqNruueg17VrgbmSQcYxLdlkf/u3f4v33nsPjY2NWLduHbq6uvD3f//3U26sgYGBgRtmiizNxQ8rJXS6hTz439cubsaCppi2dphOeDHI9da0zZfGhorUWqVjvEIxbgKG/UOjiEXDsOAMy1CY6cUjIyLTi59n27o2iYfjFspT76VfiCRoQV+VEzSWTItw3lgy4xmm4wrXuvnmxtFSx3hN23yELfvn1U8nkC/a9eBU6EJPtSxc7IVKCdH0PHS9/I5naG+uhLuqRcWiiwDw85//HH/913+NP/3TP0V9fT2ef/55/M7v/M50tG/WYTxDBgZ3BpbveR3pbEEqx6BDpTvcIDo+AKrycFWq06O7ZiU1wbjXRlWb5p4gt7EJGqrj5Trcaqmpx+o8Jjx8BVhSDTOquXZ69IbwEFUqTOkH9V4s3/NjpLN5xKJhpLN5cdy+Le2+51f7WW2b/L5X6XnV+ndTEaScSc0lYJrCZH/6p3+Kzz//HF988YX4mUql8NZbb2FiYgL5fN7/JLchjDFkYHBnIGioo1LuAxdkfPv9TwDYgn9AuVI9/7+6GHgt9jrDzE1sUBWFpGsmkmkUEcy48zN4/MamEkOyFmEVfk/J4OAhuNZ4g2+x1iBwU4BWRR73HBlBEbZ37vFSvTgdnyoIqg0R0/fCFkp8qenpeyWYLY7UtBRq/Zu/+RvE43HMnz8f8XgcX/7yl9He3o5f//Vfx/z586fcaAMDA4PpRCwaEp4hL/ACmUFAhVfX970lqtofOnHZEQZxq0buFR7RFW3VFZTlRoC62OwfvIhMNu8avlCNK5XUzD9fu7gZp0dvaMN9uvZ6GU+dHS149VwCdZEQ+odGq/IYcGNH/RsvXku6TNWC1wYDIAqqblvXJoWdNjOiuOpVo+y89X1vCuNEHR8+1n7FT92gFrYN2nc3o7zS58GrTTOpDVYpqgqT3U0wniEDg9sHs+WOp2t7lYIA5PAQeUSWfuc1Edb54AffrOh6fp6nIDtyt2N0pGKgHO4Lkp1VbamQasDPRW2bmMwimc5pvSOVlt6g7LmwBfQ+2+7wyvmdR+eZVMenVuMhZ9KV++7V1koI+LcLpoVAbWBgYDDXMRW136lULAdsj83Znqdxtudp10WRe3/Ie9LTtQKt8Rh6ulZU1JYDxy5hLJnGgWOXXLVgghDQ3Y7RkYr5sUHGupJSIf1Do1jVexyreo+7EsC9xkXXtsb6qKseUyVz5eDW1UL7iBtCQHB9Ih0JWx2fWiUMHDpxmRWs/Zr0d7c+60j1U1WHnivq0kFgPEM+MJ4hA4PbB1PxDNWa1zCV9OkgbVnVexzJdBbxWBRne57WXlNHaA7KiXIbS+oDkZbVzyu9B6oHCoDDC3VfYx2Gx1KCHO13j/qHRqU0f91Yz6YX0Q1B2s3B59Oi+xu1ekdTuTdBeV1u5/X7/nTfg2khUN+tMMaQgcHdgam8mKdand2tLZwQHaRqO10zFg3hVq4gZQGpoRmgnNbuxwnh1+LaQrpwSqX9JqMuFg2jPmIHK1QCOr9m0Erwt2PYhzIeCZXoRRFhupY6P0ENZ7d77vf96SZWTwuB2sDAwOBOho6YHBS8uOjaxc3Ytq5tSqRRTsqmsIauBpcuLLZ/8IK0oAI2eXx931vYvnGJIDnnixDaO37GEA+vdLAsKUBObz/Z/TVs37gEB45dwsRkToSz/LhUAFAfCQkPF+8jALzy7kcVCxKq7awGQYzSWiLD7luQdvM+cs/QVMGN3yDkad1c7x8axenRG46wot/3ZgvGM+QD4xkyMDDwAyfYVrPLddtBV+Ot4p4f0vDR7cArkRColHjLrzc+MSmMM93Y6JStdcZTLUMqQcuckBFYTlOf3tTwnYfP4NVzCTREQ/j6YwtwevTGjBliBE7yn0p/50LJEUOgNjAwMKgC1RI+OcGWdrmVELLdin1WWiRz5+EzDkMI0BNzKymkyz1dvDDrqt7jsErHcGIwvx73dqxpm+8YE7WPh05cRjKdRTKdlYi+UyHHq/A6l1rQtTUeQ2dHC6IhS6TGT4Vo74WDW1ejJR5DOlvAwLkExpJp8ZMMxOkGJ/l7eWz85vdMqcfXCsYYMjAwMCghSHV1N+gW9aCLt1vWVaXGGbU7bEEycmpReVztDxktRTizlvj1WlgW1enRG75jsn3jEsRjUcRjUWkhneriyhdvr3Pxz6gfB7euFqVGxpKZmhllOmzfuARhy/+46YJaYsUNfvN7uqvd1xqGM2RgYGBQQi2EAAmV8CHchO24cRbEg6MTaSRMNczE+9M/NIqJyRxi0RDqI2HPPiZKon+JZAZ7WVkKN+i4UDxrqtp7whdvr0XajTtG/ByeRVcr6O4NeYKefOQBSVW8ltfQISgnay7xfWoBwxnygeEMGRjcXZgtroNusaq0NIjXucsifFPrFxGmAUhp/W4IWhPOC7XIDAtiDMxWur0656ajgv1c4PDMNAxnyMDAwKBKzBbXgTwX+wcviNCYyuupVhiSRPjCljcPxA/9Q6Oe5R107dvd+Rha4zHs7nws8HXW972JRd2DWN/3JgC9IGClCBK2mSovqdr7o865Wlaw73r5nZIxWfSc11MVHfXDdJ9/qjCeIR8Yz5CBgcF0wK0ulVth1alkrNXK48Gr2ocs4PtK2nStvA9qAdbp8NLovC9THaep9p/mRKEIFIGKS7ToENSrNt2eo9nwTBnPkIGBgYEH5sIuVSVrk+di80o9mZqTuoN4dzj5OiiZNWiG0L4t7fjZS+U0ejreq7xGEND147EynXWqRGU+Drx/Ou9LNaRffv5KvIq6saY5AcBRoqVaBPWqTbdHdK5nlxnPkA+MZ8jA4M7DTO9SiWfDvSmV8oEqPT5oKQW5ncHGhdpSFwkhnS1oj+deJP65l/dFV2y1Ui+Nen4aBwu2N4t4U9Q2QBYvrLR0h26cg3iYvLSfFjQ14FoqgwVNDUgkM2iIhrG7c/mM8ZimwlmaS2VOjGfIwMDAwAPV7FKn4k0ink2hWPZ0VKLzU83xnR0tsACRGRcEQcalf2gUA+dsD0amZAi5pahTijzXF/Li5ejS2itdUNXzk2xBQzQk8aa4x8SPo+PVZp0sQhDukZf207VUBvmiPW+KANLZfMUesqnM16lwlmqpBzWTMJ4hHxjPkIGBASB7OrigYbDvOj1Dbqjlzno6PGDVjIOXx6fWngR+PgDa/3ul7teiqOtU+8Q9RNV6hqZy7+9Gz5AxhnxgjCEDAwPAfslTwdBaFsNUUcki5rfwuH2uhmMqSd2vZrHTldxQS15MpaCtW1tmMhw6l4yAudKe2W6DCZMZGBgY1AA81LBtXRu6XMjNtUQlIbxqVYCJqDuWzFSsuF1N+MpLnXsqxFq//lOojheNrQSVhJrmWnhoJhWg3cZpro2JF4wxZGBgYOAC9WVeKW+nGujqgLmhWkOCeC6t8YZpN+50qAU3SD2PDtvWtaGxPuKocxYUlSzmcz1bSkUtMyrdxul2GhMTJvOBCZMZGNy9mCuKxAbVYyr3cLbDPNOJWs6xuTpOhjNUQxhjyMDgzsNcfXkTl2dFSxM+m7gltW+utXmutWcuwIsbNZtj1D80Kmqd7dq0bE61bTphOEMGBgZ3PbzCAHOVy0BcnvOJlCN0NFNt5iKCXqi2PdWGZ4K2a7quHwTqmMzkPFvVewyLugexqveYtl3JdFYKF9aKU1Sr+zLbMMaQgYHBHYmgejYzDa/FQ6dZQ5ipNqvK2G7QtSfIwlitgRC0XX6YTgNFHZOg92wqBhp9N5nOAYD4qbaLNJ9qPX9qdV9mG8YYMjAwuCPhtRDNZKaNCq/Fw4ugPV1tVhdiL4PMqz1cjNFrYZwq6Tso2ZsKlHa9/E5Nrh/kWq+8+5E0JkHv2VQMNPquVfqdlzIhnLoyjs8zWTz5yANTnj/quFZ6X+YqDGfIB4YzZGBgUCm8+BiVltWYbtSKSDsVUcrpwEwUe9VdixdDXdV7DMl0DvFYBLs2Peo6J6rh73jxy1RUU5rFDUELv84FGM6QgYGBwSzCa6c/E+n5laBWnhJexFXXt1pydYKcixcm9fK41KJdbsVQeejKa05U6vXrevkd4YXT8ctU1NJ7w/s6Fwoe1wrGM+QD4xkyMDBwg5uX53bM1JkujxWNxcRkDsl0NnDRVi8E9WZVWzC1VgjqGZLbY5duaY034GT317THcO9MLBrC7s7Hqp5nU5mrc10CwniGDAwMDKpEJbtdN/6Pbqc/laybmcjYmS4iLHlEADg8UNVyZYJ6s4J4XKaTmH62ZxOu9nXibM+mwN4fKupLP3Ug70w0ZCGdLUyJDD4VvtLtJKroB2MMGRgYGDBUsjhUEn6YirHh991ahCumiwhLC+auTcscxoDXYupmAAbxZLiNh+6clYaopjs01BpvkH7qMLBjA672daKnawVa4zEARS1ZPAjoHkxMZrGoexDr+94M/N1akfrnQrjNhMl8YMJkBgZ3F6YrxBUkDOV2jN93g4Yr5hp52wtupN8gfXU7phZE4rkWGqIK84R9W9pLYckskumcZ7iNYzaJ0dM1piZMZmBgYBAQqrdgulLYgxCn3TxAuu/y3XTQcMVMacJUE9ZTv+PmqQrSV7djqvV+8bbNtdAQN4Q6WpuEZ5PI217hNo4gHqlaYq6NqfEM+cB4hgwM7mzUMu14qqjEc+O3m9Z5uLwI370D55EtFNHR2oSBHRs8r+3nPatmTN2+Q54PtV0z6eXy6s9sk+XV8SkT1ivzDM00ZuK5M54hAwMDg4CYS6JxXt4j1XPit5vWcZ/czn/oxGVkC/a+mHsa3EDnPnDskpbrQWO6oKkhsIfI7T5Qe9R2TaeXK6iXCpgeRWs/Dg3/nPhDZCiSZ3PXpkdL8+MrNWtXLTGXnjvAeIZ8YTxDBgYGcwGV7qQr8VgE9QyRF8IOpVjadPmptNnrmtPtGaLxAooitBS2gN5n28U4AnCM6XR4hvy8flPhTU0Vs+0JqwTGM2RgYGBwh6HSnfSpK+O4lkrj1JVx32O3rWvDBz/4puRh0IG8M2PJTMn7sMzTO1WL3f9zTyxEazyG555YKP3dj0dVKcjDwzk2nR0tkudH5wWaDo6Zn9dP97na9+ni4czVIsdThfEM+cB4hgwMDG5HTEd2kJuXJgimW2Cx0mPd2keeIZWD4+YZ8jvfTHlQeN/XtM2vymsWVLbgTvQMGWPIB8YYMjAwuB0x12pIuRkqXKX5bM8m6Tv9Q6M4cOwSAGDXpmWBDZA1bfNxevTGrC7YM52Cz42UnqMjVYUn55pswFRhwmQGBgYGdzj8QkJdK+0QVdfK2hJUddcNEp5yC9vw+l0qDp24jGQ6i8b6SCCjhkJWp0dveIZyqL07D5+ZNrG/mUwXV7011YYn50KK+2zBeIZ8YDxDBgYGlWCmwgiztYvXXXcqbfHzDFUzln7fo/ZaAIoA4rEozvY8XZNrzwbuNI9OrWA8QwYGBgazhJkimHrt4qezvIHuulPxKFAK+K5Njzo+q5ac7Pc9am9D1H0J5PdxLpSL8MJc8+jM9fHS4bbwDF29ehV79+7FW2+9hWvXrqGlpQXbtm3D7t27UVdX5/q9YrGI3t5e/MVf/AVu3LiBX/qlX8Kf/dmfYcWKFYGvbTxDBgYGlWAueBSm6imYClG6Uni1dbrH0uv8/DMyjIznJRh093Q2nos7zjP0k5/8BIVCAf/9v/93nD9/Hv/5P/9n/Pmf/zm+853veH7vj//4j/Gf/tN/wn/9r/8V7777LhYsWICvf/3r+Pzzz2eo5QYGBncbpqucRyUI4inw2r27CR1Wco5atHW6vWxe94p/5tbGasqOTBW3g9dFN15zPSX/tvAM6fAf/+N/xKFDh/Czn/1M+3mxWERLSwuef/55/NEf/REAYHJyEl/60pfwwx/+EP/23/7bQNcxniEDA4M7EV4eGfIMRUMWerpWuBp2U/VA+XkLZsObUMk1Z6OUC405CULOdT4TwXiGpgmpVArNzc2un1+5cgXXrl3D00+XSXH19fX41V/9VfzjP/7jTDTRwMDAYM7CyyMzsGMDWuMxZAtFz538VLkqft6C2fCyVeLBmI2SEts3LkHYAvJFzFkviw5zwWPqhdvSGLp8+TJefvll/Lt/9+9cj7l27RoA4Etf+pL09y996UviMx0mJydx8+ZN6Z+BgYHBnYagJGMvQ2eqCxy/xmyEnPza5Ie1i5uxoCmGtYvdN+Yqphrm2rauDb3Pts8pwvSdgMhsXvx73/seent7PY9599138dWvflX8nkgk8I1vfAO/9Vu/hd/93d/1vYZlWdLvxWLR8TeOl156ybdNBgYGBgZ6VEK+3rauTRhSJBQ4OJyY9ir0QdtE4H0CIP7/2cQt4UUKahByz5MXadvrfLo2GkwNs+oZ+oM/+ANcvHjR8197e7s4PpFI4Nd+7dfwy7/8y/iLv/gLz3MvWLAAABxeoOvXrzu8RRwvvPACUqmU+PfRRx9NoYcGBgYGtyeqJbwGJV+rmGtVzDl4n/j/qwkTziZh3MAds+oZuv/++3H//fcHOnZsbAy/9mu/hjVr1uB//I//gVDI245bvHgxFixYgDfeeAOrV9u7jFu3buEf/uEf8MMf/tD1e/X19aivrw/eCQMDA4NpxGyl6lNKedCFntrZGm8Qtb0qwcGtq7F2cbPQ9anWazId6GhtYt6gSYwlM2iNN1TlofH6TqVjPlXMBRmIuYLbgjOUSCSwceNGLFy4EAcOHMAnn3yCa9euObw+jz76KP7u7/4OgB0ee/755/GDH/wAf/d3f4eRkRF861vfwj333IPf/u3fno1uGBgYGGjhxSNRvQUzxa3hfKAg16R2Ahau9nVWpU904NgljCXToh6Z7vw0DjOZYj6wYwPrE9Es3OkW1WIqHKxqxsN4osq4LYyh48eP46c//SneeustfPnLX8ZDDz0k/nFcunQJqVTZNfvtb38bzz//PH7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ThYWFGjVqlD788MOI895++20NGTJE+fn5GjJkiFavXm3nW/AEq+NMe+5YIrHeuHGjxowZo169eqlr164qLS3V0qVLI86jTUeyOs606egSiXNb9fX1ys3N1fDhwyOO2d6eDSzx+uuvmy5dupjnnnvO7N6928ydO9d069bNHDhwIOr5+/fvN5WVleall14yw4cPN3Pnzo04Z8WKFaawsNAcPnw47OFnicZ57ty55rHHHjOfffaZ2bNnj5k/f77p0qWL2bZtW+icTZs2mZycHPPII4+Yr7/+2jzyyCMmNzfXbNmyxam35Tp2xJn2HF2isd62bZtZtWqV2blzp9m/f7955ZVXzBlnnGGeeeaZ0Dm06Uh2xJk2HSnROLdqamoy559/vhk/fry5+OKLw4450Z5Jhixy+eWXmzlz5oQ9V1paaqqqqmK+tqKiosNkqKioyKI7zAypxLnVkCFDzMKFC0O/T5061VxzzTVh50yYMMFMmzYttZv1MDviTHuOzopYT5482cycOTP0O206kh1xpk1HSjbON954o3nwwQfNggULIpIhJ9ozw2QWOHXqlL744guNHz8+7Pnx48dr06ZNKV37xIkTCgQC6tu3r6677joFg8GUrudlVsT59OnTam5uVs+ePUPPbd68OeKaEyZMSPmz8yq74izRntuzItbBYFCbNm1SRUVF6DnadDi74izRpttKNs4rVqzQvn37tGDBgqjHnWjPJEMW+Pnnn9XS0qKzzjor7PmzzjpLR44cSfq6paWlWrlypdauXava2loVFBRozJgx2rt3b6q37ElWxPnxxx/Xb7/9pqlTp4aeO3LkiOWfnZfZFWfac6RUYt23b1/l5+fr0ksv1R133KHbbrstdIw2Hc6uONOmwyUT571796qqqkqvvfaacnOj7x3vRHtm13oLZWVlhf1ujIl4LhHl5eUqLy8P/T5mzBhdcsklWrZsmWpqapK+rtclG+fa2lpVV1drzZo16tOnjyXXzGRWx5n23LFkYv3JJ5/oxIkT2rJli6qqqnTBBRdo+vTpKV0z01kdZ9p0dPHGuaWlRTNmzNDChQs1aNAgS66ZLJIhC/Tu3Vs5OTkRWeqPP/4Ykc2mIjs7W5dddplv/68jlTi/8cYbmj17tt566y1dddVVYcfOPvts2z87L7Erzu35vT1LqcW6f//+kqSLLrpIP/zwg6qrq0Nf0rTpcHbFuT2/t+lE49zc3KzPP/9cwWBQd955p6S/h9iNMcrNzVVdXZ3GjRvnSHtmmMwCeXl5Kisr0/r168OeX79+vUaPHm3Z3zHGaPv27SouLrbsml6SbJxra2s1a9YsrVq1ShMnTow4PmrUqIhr1tXVWfrZeYldcW7P7+1Zsu6/HcYYnTx5MvQ7bTqcXXGOdtzPbTrROBcWFmrHjh3avn176DFnzhwNHjxY27dv18iRIyU51J4tK8X2udbphC+88ILZvXu3mTdvnunWrZtpaGgwxhhTVVVlbrrpprDXBINBEwwGTVlZmZkxY4YJBoNm165doePV1dXmgw8+MPv27TPBYNDccsstJjc313z66aeOvjc3STTOq1atMrm5uebJJ58Mm/ra1NQUOqe+vt7k5OSYRYsWma+//tosWrSIacg2xJn2HF2isX7iiSfM2rVrzZ49e8yePXvMiy++aAoLC80DDzwQOoc2HcmOONOmIyXzXdhWtNlkTrRnkiELPfnkkyYQCJi8vDxzySWXmI8//jh07OabbzYVFRVh50uKeAQCgdDxefPmmfPOO8/k5eWZM88804wfP95s2rTJoXfjXonEuaKiImqcb7755rBrvvXWW2bw4MGmS5cuprS01Lz99tsOvRv3sjrOtOeOJRLrmpoaM3ToUHPGGWeYwsJCM2LECPPUU0+ZlpaWsGvSpiNZHWfadHSJfhe2FS0ZMsb+9pxljDHW9TMBAAB4CzVDAADA10iGAACAr5EMAQAAXyMZAgAAvkYyBAAAfI1kCAAA+BrJEAAA8DWSIQAA4GskQwAAwNdIhgBkvK+++kpTpkxRr169VFBQoKFDh2rx4sX666+/0n1rAFyAZAhARvv4449VXl6url27as2aNfryyy917733asmSJZoyZYpOnz6d7lsEkGbsTQYgY7W0tGjgwIEaPXq0Xn311bBju3fv1vDhw7V8+XLNnj07TXcIwA1IhgBkrM2bN2v06NHavn27Lr744ojjN9xwg37//XfV1dWl4e4AuAXDZAAy1v79+yVJAwcOjHp80KBBOnDggJO3BMCFSIYAZKzCwkJJ0i+//BL1+K+//ho6B4B/kQwByFijRo1Sly5d9N5770Uca2lpUV1dna644gpJ0rXXXqu7775b5eXlKi0t1datWzVp0iQFAgE9++yzTt86AAeRDAHIWL169VJlZaUeeughNTY2hh1bunSpjh49qrvuukuStHPnTg0bNkxbtmzR5Zdfrvvuu0+1tbVas2aNVqxYkY7bB+AQkiEAGevEiROqrKxU//79NXbsWG3btk2StHjxYt1///1atmyZ8vLydOzYMeXl5WnWrFmSpIKCAs2dO1fdunVTfn6+ioqK0vguANiNZAhAxlqyZIkCgYDq6+u1Z88e1dTUSJLuvfde/fnnn7r11ltVXFysnTt36rLLLgu9bseOHRo5cmTony+88MK03D8AZ5AMAchY1dXVMsaEHitXrpSksOeMMdq5c6cuuuii0LEffvhBZ599tiSFHQOQmUiGAPjerl27QglPQ0OD+vXrFzpGMgRkPhZdBAAAvkbPEAAA8DWSIQAA4GskQwAAwNdIhgAAgK+RDAEAAF8jGQIAAL5GMgQAAHyNZAgAAPgayRAAAPA1kiEAAOBrJEMAAMDXSIYAAICv/T9vCLp6RnlWewAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "index = np.arange(len(chain3))\n", + "random_sample = np.random.choice(index, effective_sample_size, p=weight)\n", + "equal_weight_chain = chain3[random_sample]\n", + "\n", + "plt.scatter(\n", + " equal_weight_chain['cosmological_parameters--omega_m'],\n", + " equal_weight_chain['cosmological_parameters--w'],\n", + " s=1,\n", + ")\n", + "\n", + "plt.xlabel(\"$\\Omega_m$\")\n", + "plt.ylabel(\"$w_0$\");" + ] + }, + { + "cell_type": "markdown", + "id": "8868f162", + "metadata": { + "heading_collapsed": true, + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, + "source": [ + "# Manually running pipelines" + ] + }, + { + "cell_type": "markdown", + "id": "9f383052", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Creating pipelines" + ] + }, + { + "cell_type": "markdown", + "id": "e777e1b4", + "metadata": { + "hidden": true + }, + "source": [ + "As well running CosmoSIS automatically using the `run_cosmosis`, we can create and use a pipeline object. This can be useful for exploring models manually, or for code verification.\n", + "\n", + "Let's make a pipeline of the DES Year-3 Lensing + Clustering likelihood. We will load this from an example file (we could create this from our own Inifile object like we did above if we preferred)." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "4d0e1e9a", + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading included ini file: `examples/des-y3-scale-cuts.ini'\n" + ] + }, + { "ename": "OSError", "evalue": "dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache) ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **", "output_type": "error", @@ -543,12 +1151,12 @@ "\u001b[0;31mOSError\u001b[0m: dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache)", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m pipe \u001b[38;5;241m=\u001b[39m \u001b[43mcosmosis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mLikelihoodPipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mexamples/des-y3.ini\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:729\u001b[0m, in \u001b[0;36mLikelihoodPipeline.__init__\u001b[0;34m(self, arg, id, override, modules, load, values, priors, only)\u001b[0m\n\u001b[1;32m 719\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, arg\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28mid\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m, override\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, modules\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, load\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, values\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, priors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 720\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mu\u001b[39m\u001b[38;5;124;03m\"\"\"Construct a :class:`LikelihoodPipeline`.\u001b[39;00m\n\u001b[1;32m 721\u001b[0m \n\u001b[1;32m 722\u001b[0m \u001b[38;5;124;03m The arguments `arg` and `load` are used in the base-class\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 727\u001b[0m \u001b[38;5;124;03m \u001b[39;00m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 729\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\u001b[43mcosmosis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mLikelihoodPipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mexamples/des-y3.ini\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:730\u001b[0m, in \u001b[0;36mLikelihoodPipeline.__init__\u001b[0;34m(self, arg, id, override, modules, load, values, priors, only)\u001b[0m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, arg\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28mid\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m, override\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, modules\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, load\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, values\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, priors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 721\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mu\u001b[39m\u001b[38;5;124;03m\"\"\"Construct a :class:`LikelihoodPipeline`.\u001b[39;00m\n\u001b[1;32m 722\u001b[0m \n\u001b[1;32m 723\u001b[0m \u001b[38;5;124;03m The arguments `arg` and `load` are used in the base-class\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;124;03m \u001b[39;00m\n\u001b[1;32m 729\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 730\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:386\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 382\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m load \u001b[38;5;129;01mand\u001b[39;00m PIPELINE_INI_SECTION \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39msections():\n\u001b[1;32m 383\u001b[0m module_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(PIPELINE_INI_SECTION,\n\u001b[1;32m 384\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodules\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39msplit()\n\u001b[1;32m 385\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m--> 386\u001b[0m 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373\u001b[0m exec_function \u001b[38;5;241m=\u001b[39m options\u001b[38;5;241m.\u001b[39mget(module_name, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfunction\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexecute\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 374\u001b[0m cleanup_function \u001b[38;5;241m=\u001b[39m options\u001b[38;5;241m.\u001b[39mget(module_name, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcleanup\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcleanup\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 376\u001b[0m m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[43m 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language \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_library\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_python \u001b[38;5;241m=\u001b[39m (language \u001b[38;5;241m==\u001b[39m MODULE_LANG_PYTHON)\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_julia \u001b[38;5;241m=\u001b[39m (language \u001b[38;5;241m==\u001b[39m MODULE_LANG_JULIA)\n", + "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:103\u001b[0m, in \u001b[0;36mModule.__init__\u001b[0;34m(self, module_name, file_path, setup_function, execute_function, cleanup_function, rootpath)\u001b[0m\n\u001b[1;32m 100\u001b[0m filename \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(rootpath, filename)\n\u001b[1;32m 101\u001b[0m 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sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, dirname)\n\u001b[1;32m 306\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 307\u001b[0m library \u001b[38;5;241m=\u001b[39m \u001b[38;5;28m__import__\u001b[39m(impname)\n\u001b[1;32m 308\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m 309\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SetupError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou specified a path \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m for a module. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 310\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mI looked for a python module there but \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 311\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwas unable to load it. Error was \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m 312\u001b[0m (filepath, error))\n", "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/add_gammat_point_mass.py:8\u001b[0m\n\u001b[1;32m 6\u001b[0m path \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(current_dir, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m../../structure/projection/projection_tools\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 7\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mappend(path)\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgsl_wrappers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m GSLSpline\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcosmosis\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatablock\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m names\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcosmosis\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatablock\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m option_section\n", "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:45\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m gsl\n\u001b[1;32m 44\u001b[0m \u001b[38;5;66;03m#global gsl library\u001b[39;00m\n\u001b[0;32m---> 45\u001b[0m gsl \u001b[38;5;241m=\u001b[39m \u001b[43mload_gsl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 46\u001b[0m c_dbl_array \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mctypeslib\u001b[38;5;241m.\u001b[39mndpointer(dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mfloat64, ndim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, flags\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mC_CONTIGUOUS\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 48\u001b[0m \u001b[38;5;66;03m#1d splines\u001b[39;00m\n", @@ -561,159 +1169,378 @@ "pipe = cosmosis.LikelihoodPipeline(\"examples/des-y3.ini\")" ] }, + { + "cell_type": "markdown", + "id": "a018d7d4", + "metadata": { + "hidden": true + }, + "source": [ + "This pipeline has a large number or parameters we need to specify in a run. For convenience we can get a vector of all those parameters at their starting position using the `start_vector` method. Then we can modify these values as we want:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0366aecc", + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "for i, p in enumerate(pipe.varied_params):\n", + " print(f\"{i}) {p}\")\n", + " \n", + "\n", + "x = pipe.start_vector()" + ] + }, + { + "cell_type": "markdown", + "id": "fb6d4b21", + "metadata": { + "hidden": true + }, + "source": [ + "You can run a calculation pipeline on a set of parameters most easily using the `run_results` method:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "23260a6e", + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "results = pipe.run_results(x)" + ] + }, + { + "cell_type": "markdown", + "id": "e926f7e7", + "metadata": { + "hidden": true + }, + "source": [ + "## Exploring pipeline outputs" + ] + }, + { + "cell_type": "markdown", + "id": "8b370671", + "metadata": { + "hidden": true + }, + "source": [ + "The results object collects the parameter vector, prior, likelihood, posterior, and derived parameters of the \n", + "calculation:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6eb138d1", + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "print(f\"Parameter vector = {results.vector[:5]} ... \\n\")\n", + "print(\"Likelihood = \", results.like)\n", + "print(\"Prior = \", results.prior)\n", + "print(\"Posterior = \", results.post)\n", + "print()\n", + "# Derived params:\n", + "for param, value in zip(pipe.extra_saves, results.extra):\n", + " print(param, '=', value)\n" + ] + }, + { + "cell_type": "markdown", + "id": "abed32fc", + "metadata": { + "hidden": true + }, + "source": [ + "It also saves the complete DataBlock from the pipeline, which includes all the intermediate calculations made by each step. That block is organized into sections and keys, similar to the configuration files.\n", + "\n", + "We can query all the sections and keys:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a4a362b2", + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "print(\"Sections in the block:\")\n", + "for section in results.block.sections():\n", + " print(\"- \", section)\n", + " \n", + "print(\"In the shear_cl section we can find:\")\n", + "for section, key in results.block.keys(\"shear_cl\"):\n", + " print(\"- \", key)" + ] + }, + { + "cell_type": "markdown", + "id": "8dc5320c", + "metadata": { + "hidden": true + }, + "source": [ + "This means we can examine all the ingredients that were used to calculate our likelihood. For example, one of the intermediate calculations to get the shear correlation functions is the shear power spectrum, C_ell. We can plot that here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd6702c0", + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "ell = results.block['shear_cl', 'ell']\n", + "cl33 = results.block['shear_cl', 'bin_3_3']\n", + "plt.loglog(ell, cl33)\n", + "plt.xlabel(\"Angular frequency $\\ell$\")\n", + "plt.ylabel(\"Bin 3-3 shear power spectrum $C_\\ell$\");" + ] + }, + { + "cell_type": "markdown", + "id": "bba8be76", + "metadata": {}, + "source": [ + "# Post-processing chains" + ] + }, + { + "cell_type": "markdown", + "id": "19125d0c", + "metadata": {}, + "source": [ + "Instead of manually making plots from chain output, as we did above, we can ask CosmoSIS to do it for us. The advantage of this is that it knows about the different types of chain - whether they have weights or not, for example, and how to make a plot of each one." + ] + }, { "cell_type": "code", "execution_count": 16, - "id": "9ef5672e", + "id": "7ed624eb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " - 1D plot cosmological_parameters--omega_m\n", + " - 1D plot cosmological_parameters--h0\n", + " - 1D plot cosmological_parameters--omega_k\n", + " - 1D plot supernova_params--m\n", + " - 1D plot cosmological_parameters--ommh2\n", + "(Making 2D plots using KDE; this takes a while but is really cool)\n", + " (making cosmological_parameters--omega_m vs cosmological_parameters--h0)\n", + " (making cosmological_parameters--omega_m vs cosmological_parameters--omega_k)\n", + " (making cosmological_parameters--omega_k vs cosmological_parameters--h0)\n", + " (making supernova_params--m vs cosmological_parameters--omega_m)\n", + " (making supernova_params--m vs cosmological_parameters--h0)\n", + " (making supernova_params--m vs cosmological_parameters--omega_k)\n", + " (making supernova_params--m vs cosmological_parameters--ommh2)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_m)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--h0)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_k)\n", + " - Trace plot cosmological_parameters--omega_m\n", + " - Trace plot cosmological_parameters--h0\n", + " - Trace plot cosmological_parameters--omega_k\n", + " - Trace plot supernova_params--m\n", + " - Trace plot cosmological_parameters--ommh2\n", + " - Trace plot prior\n", + " - Trace plot post\n", + "Samples after cutting: 6600\n", + "\n", + "Marginalized mean, std-dev:\n", + " cosmological_parameters--omega_m = 0.305009 ± 0.0533921 \n", + " cosmological_parameters--h0 = 0.730751 ± 0.0126649 \n", + " cosmological_parameters--omega_k = -0.0172715 ± 0.142646 \n", + " supernova_params--m = -19.258 ± 0.0396296 \n", + " cosmological_parameters--ommh2 = 0.162871 ± 0.0288545 \n", + " prior = 2.40795 ± 4.44089e-16 \n", + " post = -20.0971 ± 1.23266 \n", + "\n", + "\n", + "Marginalized 1D peak, 68% asymmetric error bars:\n", + " cosmological_parameters--omega_m = 0.31995 + 0.0606853 - 0.0524976 \n", + " cosmological_parameters--h0 = 0.727857 + 0.0154821 - 0.00960961 \n", + " cosmological_parameters--omega_k = -0.100712 + 0.201221 - 0.0988244 \n", + " supernova_params--m = -19.264 + 0.0438063 - 0.0363272 \n", + " cosmological_parameters--ommh2 = 0.174758 + 0.0228206 - 0.0384195 \n", + " prior = nan + nan - nan \n", + " post = -19.2037 + 0.610945 - 1.38267 \n", + "\n", + "\n", + "Marginalized 1D peak, 95% asymmetric error bars:\n", + " cosmological_parameters--omega_m = 0.31995 + 0.0756157 - 0.114146 \n", + " cosmological_parameters--h0 = 0.727857 + 0.0270493 - 0.0227783 \n", + " cosmological_parameters--omega_k = -0.100712 + 0.365531 - 0.155976 \n", + " supernova_params--m = -19.264 + 0.0822704 - 0.0710517 \n", + " cosmological_parameters--ommh2 = 0.174758 + 0.0375529 - 0.0661509 \n", + " prior = nan + nan - nan \n", + " post = -19.2037 + 0.884263 - 3.27981 \n", + "\n", + "Marginalized median, std-dev:\n", + " cosmological_parameters--omega_m = 0.311417 ± 0.0533921\n", + " cosmological_parameters--h0 = 0.730333 ± 0.0126649\n", + " cosmological_parameters--omega_k = -0.0331942 ± 0.142646\n", + " supernova_params--m = -19.2592 ± 0.0396296\n", + " cosmological_parameters--ommh2 = 0.165954 ± 0.0288545\n", + " prior = 2.40795 ± 4.44089e-16\n", + " post = -19.8488 ± 1.23266\n", + "\n", + "Best likelihood:\n", + " cosmological_parameters--omega_m = 0.324658\n", + " cosmological_parameters--h0 = 0.732723\n", + " cosmological_parameters--omega_k = -0.0773718\n", + " supernova_params--m = -19.2554\n", + " cosmological_parameters--ommh2 = 0.174303\n", + " prior = 2.40795\n", + " post = -18.3194\n", + "\n", + "95% lower limits:\n", + " cosmological_parameters--omega_m > 0.210713\n", + " cosmological_parameters--h0 > 0.709762\n", + " cosmological_parameters--omega_k > -0.230741\n", + " supernova_params--m > -19.3239\n", + " cosmological_parameters--ommh2 > 0.112539\n", + " prior > 2.40795\n", + " post > -22.4927\n", + "\n", + "95% upper limits:\n", + " cosmological_parameters--omega_m < 0.384887\n", + " cosmological_parameters--h0 < 0.751041\n", + " cosmological_parameters--omega_k < 0.23621\n", + " supernova_params--m < -19.1913\n", + " cosmological_parameters--ommh2 < 0.206728\n", + " prior < 2.40795\n", + " post < -18.6314\n", + "\n", + "68% lower limits:\n", + " cosmological_parameters--omega_m > 0.281138\n", + " cosmological_parameters--h0 > 0.724773\n", + " cosmological_parameters--omega_k > -0.103264\n", + " supernova_params--m > -19.276\n", + " cosmological_parameters--ommh2 > 0.148298\n", + " prior > 2.40795\n", + " post > -20.4055\n", + "\n", + "68% upper limits:\n", + " cosmological_parameters--omega_m < 0.335156\n", + " cosmological_parameters--h0 < 0.736908\n", + " cosmological_parameters--omega_k < 0.0475408\n", + " supernova_params--m < -19.2404\n", + " cosmological_parameters--ommh2 < 0.179473\n", + " prior < 2.40795\n", + " post < -19.3674\n", + "\n", + "\n", + "#You should cite these papers in any publication based on this pipeline.\n", + " Riess et al, ApJLett, 908, 1\n", + " Scolnic et al, ApJ, 859, 28\n", + "\n", + "Finalizing:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/plotting/kde.py:33: RuntimeWarning: invalid value encountered in divide\n", + " normalized_points.append((column-col_mean)/col_std)\n" + ] + } + ], + "source": [ + "results = cosmosis.postprocessing.run_cosmosis_postprocess([chain1])" + ] + }, + { + "cell_type": "markdown", + "id": "304aa2f8", "metadata": {}, - "outputs": [], "source": [ - "chain2.write('tmp.txt', format='ascii.commented_header', overwrite=True)" + "Most of the information of interest will be in the `results.outputs` dictionary. Its values are output objects" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "4436c221", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cosmological_parameters--omega_m\n", + "cosmological_parameters--h0\n", + "cosmological_parameters--omega_k\n", + "supernova_params--m\n", + "cosmological_parameters--ommh2\n", + "2D_cosmological_parameters--omega_m_cosmological_parameters--h0\n", + "2D_cosmological_parameters--omega_m_cosmological_parameters--omega_k\n", + "2D_cosmological_parameters--omega_k_cosmological_parameters--h0\n", + "2D_supernova_params--m_cosmological_parameters--omega_m\n", + "2D_supernova_params--m_cosmological_parameters--h0\n", + "2D_supernova_params--m_cosmological_parameters--omega_k\n", + "2D_supernova_params--m_cosmological_parameters--ommh2\n", + "2D_cosmological_parameters--ommh2_cosmological_parameters--omega_m\n", + "2D_cosmological_parameters--ommh2_cosmological_parameters--h0\n", + "2D_cosmological_parameters--ommh2_cosmological_parameters--omega_k\n", + "corner\n", + "trace_cosmological_parameters--omega_m\n", + "trace_cosmological_parameters--h0\n", + "trace_cosmological_parameters--omega_k\n", + "trace_supernova_params--m\n", + "trace_cosmological_parameters--ommh2\n", + "trace_prior\n", + "trace_post\n", + "kind\n", + "l95\n", + "u95\n", + "l68\n", + "u68\n", + "lerr68\n", + "uerr68\n", + "lerr95\n", + "uerr95\n", + "peak1d\n", + "covmat\n", + "proposal\n", + "citations\n" + ] + } + ], + "source": [ + "for key in results.outputs.keys():\n", + " print(key)" ] }, { "cell_type": "code", "execution_count": 17, - "id": "1faf6376", + "id": "bcceed70", "metadata": {}, "outputs": [ { "data": { + "image/png": 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('f_live', '0.01'),\n", - " ('n_shell', '100'),\n", - " ('n_eff', '10000.0'),\n", - " ('discard_exploration', 'False'),\n", - " ('verbose', 'False')])" + "
" ] }, "execution_count": 17, @@ -722,284 +1549,435 @@ } ], "source": [ - "chain2.meta" + "r=results.outputs['corner']\n", + "r.value" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "4e125337", + "execution_count": 16, + "id": "c89448f3", "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Table length=7\n", + "
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parameteru95data_set
str32float64str5
cosmological_parameters--omega_m0.38765023325698283chain
cosmological_parameters--h00.7530415996341053chain
cosmological_parameters--omega_k0.21140965246061597chain
supernova_params--m-19.18666222422097chain
cosmological_parameters--ommh20.20800959528261384chain
prior2.407945608651871chain
post-18.628022854543236chain
" + ], + "text/plain": [ + "\n", + " parameter u95 data_set\n", + " str32 float64 str5 \n", + "-------------------------------- ------------------- --------\n", + "cosmological_parameters--omega_m 0.38765023325698283 chain\n", + " cosmological_parameters--h0 0.7530415996341053 chain\n", + "cosmological_parameters--omega_k 0.21140965246061597 chain\n", + " supernova_params--m -19.18666222422097 chain\n", + " cosmological_parameters--ommh2 0.20800959528261384 chain\n", + " prior 2.407945608651871 chain\n", + " post -18.628022854543236 chain" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r=results.outputs['u95']\n", + "r.value.to_astropy()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a6d2f129", + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "# cosmological_parameters--omega_m cosmological_parameters--h0 cosmological_parameters--omega_k supernova_params--m COSMOLOGICAL_PARAMETERS--OMMH2 log_weight prior post\r\n", - "# CITE Scolnic et al, ApJ, 859, 28\r\n", - "# CITE Riess et al, ApJLett, 908, 1\r\n", - "# START_OF_PARAMS_INI\r\n", - "# [runtime]\r\n", - "# sampler = nautilus\r\n", - "# root = /Users/jzuntz/src/cosmosis/cosmosis-standard-library\r\n", - "# resume = False\r\n", - "# verbosity = quiet\r\n", - "# \r\n", - "# [emcee]\r\n", - "# walkers = 32\r\n", - "# samples = 300\r\n", - "# nsteps = 10\r\n", - "# \r\n", - "# [polychord]\r\n", - "# live_points = 50\r\n", - "# feedback = 5\r\n", - "# base_dir = output/pantheon_pc\r\n", - "# polychord_outfile_root = pantheon_pc\r\n", - "# \r\n", - "# [multinest]\r\n", - "# max_iterations = 50000\r\n", - "# live_points = 100\r\n", - "# multinest_outfile_root = output/mn\r\n", - "# \r\n", - "# [output]\r\n", - "# filename = output/pantheon.txt\r\n", - "# format = text\r\n", - "# \r\n", - "# [pipeline]\r\n", - "# modules = consistency astropy pantheon riess21\r\n", - "# values = examples/pantheon_values.ini\r\n", - "# extra_output = cosmological_parameters/ommh2\r\n", - "# quiet = T\r\n", - "# debug = F\r\n", - "# timing = F\r\n", - "# \r\n", - "# [maxlike]\r\n", - "# output_ini = output/pantheon_maxlike.ini\r\n", - "# output_covmat = new.cov\r\n", - "# tolerance = 1e-6\r\n", - "# \r\n", - "# [metropolis]\r\n", - "# cobaya = T\r\n", - "# samples = 50000\r\n", - "# tuning_frequency = 500\r\n", - "# tuning_grace = 1000\r\n", - "# tuning_end = 10000\r\n", - "# nsteps = 1000\r\n", - "# \r\n", - "# [test]\r\n", - "# save_dir = output/pantheon\r\n", - "# \r\n", - "# [astropy]\r\n", - "# file = background/astropy_background/astropy_background.py\r\n", - "# model = lambdacdm\r\n", - "# nz = 200\r\n", - "# zmax = 2.0\r\n", - "# \r\n", - "# [camb]\r\n", - "# file = boltzmann/camb/camb_interface.py\r\n", - "# mode = background\r\n", - "# feedback = 0\r\n", - "# nz_background = 200\r\n", - "# zmin_background = 0.0\r\n", - "# zmax_background = 2.0\r\n", - "# \r\n", - "# [pantheon]\r\n", - "# file = likelihood/pantheon/pantheon.py\r\n", - "# likelihood_only = T\r\n", - "# \r\n", - "# [riess21]\r\n", - "# file = likelihood/riess21/riess21.py\r\n", - "# \r\n", - "# [consistency]\r\n", - "# file = utility/consistency/consistency_interface.py\r\n", - "# \r\n", - "# [nautilus]\r\n", - "# resume = False\r\n", - "# \r\n", - "# END_OF_PARAMS_INI\r\n", - "# START_OF_VALUES_INI\r\n", - "# [cosmological_parameters]\r\n", - "# omega_m = 0.15 0.3 0.4\r\n", - "# h0 = 0.6 0.7 0.8\r\n", - "# w = -1.0\r\n", - "# omega_b = 0.04\r\n", - "# omega_k = -0.3 0.0 0.3\r\n", - "# a_s = 2.0e-9\r\n", - "# n_s = 1.0\r\n", - "# tau = 0.08\r\n", - "# \r\n", - "# [supernova_params]\r\n", - "# m = -21.0 -19.35 -18.0\r\n", - "# \r\n", - "# END_OF_VALUES_INI\r\n", - "# START_OF_PRIORS_INI\r\n", - "# END_OF_PRIORS_INI\r\n", - "0.24839893172177116 0.6700773174163173 -0.24282423084261315 -18.595380531969113 0.111532017390074 -24312.374608363836 2.407945608651871 -24332.14437237689\r\n" + " - 1D plot cosmological_parameters--omega_m\n", + " - 1D plot cosmological_parameters--h0\n", + " - 1D plot cosmological_parameters--omega_k\n", + " - 1D plot supernova_params--m\n", + " - 1D plot cosmological_parameters--ommh2\n", + "(Making 2D plots using KDE; this takes a while but is really cool)\n", + " (making cosmological_parameters--omega_m vs cosmological_parameters--h0)\n", + " (making cosmological_parameters--omega_m vs cosmological_parameters--omega_k)\n", + " (making cosmological_parameters--omega_k vs cosmological_parameters--h0)\n", + " (making supernova_params--m vs cosmological_parameters--omega_m)\n", + " (making supernova_params--m vs cosmological_parameters--h0)\n", + " (making supernova_params--m vs cosmological_parameters--omega_k)\n", + " (making supernova_params--m vs cosmological_parameters--ommh2)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_m)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--h0)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_k)\n", + " - Trace plot cosmological_parameters--omega_m\n", + " - Trace plot cosmological_parameters--h0\n", + " - Trace plot cosmological_parameters--omega_k\n", + " - Trace plot supernova_params--m\n", + " - Trace plot cosmological_parameters--ommh2\n", + " - Trace plot prior\n", + " - Trace plot post\n", + "Samples after cutting: 6600\n", + "\n", + "Marginalized mean, std-dev:\n", + " cosmological_parameters--omega_m = 0.304649 ± 0.0556248 \n", + " cosmological_parameters--h0 = 0.731686 ± 0.0123637 \n", + " cosmological_parameters--omega_k = -0.0254824 ± 0.140149 \n", + " supernova_params--m = -19.2564 ± 0.0381079 \n", + " cosmological_parameters--ommh2 = 0.163157 ± 0.0304097 \n", + " prior = 2.40795 ± 4.44089e-16 \n", + " post = -20.0388 ± 1.17424 \n", + "\n", + "\n", + "Marginalized 1D peak, 68% asymmetric error bars:\n", + " cosmological_parameters--omega_m = 0.328567 + 0.0541268 - 0.0659363 \n", + " cosmological_parameters--h0 = 0.727828 + 0.0159915 - 0.00903049 \n", + " cosmological_parameters--omega_k = -0.0679525 + 0.155049 - 0.13702 \n", + " supernova_params--m = -19.2672 + 0.0485798 - 0.0266032 \n", + " cosmological_parameters--ommh2 = 0.170741 + 0.030843 - 0.0335914 \n", + " prior = nan + nan - nan \n", + " post = -19.3665 + 0.75886 - 1.14636 \n", + "\n", + "\n", + "Marginalized 1D peak, 95% asymmetric error bars:\n", + " cosmological_parameters--omega_m = 0.328567 + 0.0703649 - 0.121539 \n", + " cosmological_parameters--h0 = 0.727828 + 0.0276559 - 0.0195661 \n", + " cosmological_parameters--omega_k = -0.0679525 + 0.32452 - 0.204328 \n", + " supernova_params--m = -19.2672 + 0.0873279 - 0.0618814 \n", + " cosmological_parameters--ommh2 = 0.170741 + 0.0451958 - 0.0668775 \n", + " prior = nan + nan - nan \n", + " post = -19.3665 + 1.03334 - 3.01929 \n", + "\n", + "Marginalized median, std-dev:\n", + " cosmological_parameters--omega_m = 0.310788 ± 0.0556248\n", + " cosmological_parameters--h0 = 0.731529 ± 0.0123637\n", + " cosmological_parameters--omega_k = -0.0383643 ± 0.140149\n", + " supernova_params--m = -19.2572 ± 0.0381079\n", + " cosmological_parameters--ommh2 = 0.16589 ± 0.0304097\n", + " prior = 2.40795 ± 4.44089e-16\n", + " post = -19.7694 ± 1.17424\n", + "\n", + "Best likelihood:\n", + " cosmological_parameters--omega_m = 0.327605\n", + " cosmological_parameters--h0 = 0.729913\n", + " cosmological_parameters--omega_k = -0.0791506\n", + " supernova_params--m = -19.2634\n", + " cosmological_parameters--ommh2 = 0.174539\n", + " prior = 2.40795\n", + " post = -18.3332\n", + "\n", + "95% lower limits:\n", + " cosmological_parameters--omega_m > 0.207839\n", + " cosmological_parameters--h0 > 0.711488\n", + " cosmological_parameters--omega_k > -0.23771\n", + " supernova_params--m > -19.3183\n", + " cosmological_parameters--ommh2 > 0.11001\n", + " prior > 2.40795\n", + " post > -22.3766\n", + "\n", + "95% upper limits:\n", + " cosmological_parameters--omega_m < 0.388084\n", + " cosmological_parameters--h0 < 0.751922\n", + " cosmological_parameters--omega_k < 0.230692\n", + " supernova_params--m < -19.1939\n", + " cosmological_parameters--ommh2 < 0.208316\n", + " prior < 2.40795\n", + " post < -18.6503\n", + "\n", + "68% lower limits:\n", + " cosmological_parameters--omega_m > 0.278207\n", + " cosmological_parameters--h0 > 0.725542\n", + " cosmological_parameters--omega_k > -0.103731\n", + " supernova_params--m > -19.2747\n", + " cosmological_parameters--ommh2 > 0.148555\n", + " prior > 2.40795\n", + " post > -20.3197\n", + "\n", + "68% upper limits:\n", + " cosmological_parameters--omega_m < 0.337215\n", + " cosmological_parameters--h0 < 0.737448\n", + " cosmological_parameters--omega_k < 0.0393672\n", + " supernova_params--m < -19.2378\n", + " cosmological_parameters--ommh2 < 0.180616\n", + " prior < 2.40795\n", + " post < -19.3385\n", + "\n", + "\n", + "#You should cite these papers in any publication based on this pipeline.\n", + " Scolnic et al, ApJ, 859, 28\n", + " Riess et al, ApJLett, 908, 1\n", + "\n", + " - 1D plot cosmological_parameters--omega_m\n", + " - 1D plot cosmological_parameters--h0\n", + " - 1D plot cosmological_parameters--omega_k\n", + " - 1D plot supernova_params--m\n", + " - 1D plot cosmological_parameters--ommh2\n", + "(Making 2D plots using KDE; this takes a while but is really cool)\n", + " (making cosmological_parameters--omega_m vs cosmological_parameters--h0)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/plotting/kde.py:33: RuntimeWarning: invalid value encountered in divide\n", + " normalized_points.append((column-col_mean)/col_std)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (making cosmological_parameters--omega_m vs cosmological_parameters--omega_k)\n", + " (making cosmological_parameters--omega_k vs cosmological_parameters--h0)\n", + " (making supernova_params--m vs cosmological_parameters--omega_m)\n", + " (making supernova_params--m vs cosmological_parameters--h0)\n", + " (making supernova_params--m vs cosmological_parameters--omega_k)\n", + " (making supernova_params--m vs cosmological_parameters--ommh2)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_m)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--h0)\n", + " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_k)\n", + "Failed in one of the postprocessing steps: \n", + "Here is the error stack:\n", + "Traceback (most recent call last):\n", + " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/postprocess_base.py\", line 220, in run\n", + " files += e.run()\n", + " ^^^^^^^\n", + " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/plots.py\", line 509, in run\n", + " return self.run_1d() + self.run_2d()\n", + " ^^^^^^^^^^^^^\n", + " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/plots.py\", line 831, in run_2d\n", + " filenames.append(self.make_corner_plot())\n", + " ^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/plots.py\", line 642, in make_corner_plot\n", + " for j in range(nparam):\n", + " ^\n", + "UnboundLocalError: cannot access local variable 'axes' where it is not associated with a value\n", + "\n", + " - Trace plot cosmological_parameters--omega_m\n", + " - Trace plot cosmological_parameters--h0\n", + " - Trace plot cosmological_parameters--omega_k\n", + " - Trace plot supernova_params--m\n", + " - Trace plot cosmological_parameters--ommh2\n", + " - Trace plot prior\n", + " - Trace plot post\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/utils.py:42: RuntimeWarning: invalid value encountered in divide\n", + " x = (v-mu)/sigma\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Samples after cutting: 3600\n", + "\n", + "Marginalized mean, std-dev:\n", + " cosmological_parameters--omega_m = 0.301587 ± 0.0564811 \n", + " cosmological_parameters--h0 = 0.730941 ± 0.0110451 \n", + " cosmological_parameters--omega_k = -0.0154204 ± 0.140895 \n", + " supernova_params--m = -19.2581 ± 0.0341057 \n", + " cosmological_parameters--ommh2 = 0.161132 ± 0.0304644 \n", + " prior = 2.40795 ± 4.44089e-16 \n", + " post = -20.0022 ± 1.13491 \n", + "\n", + "\n", + "Marginalized 1D peak, 68% asymmetric error bars:\n", + " cosmological_parameters--omega_m = 0.329059 + 0.0511745 - 0.0733173 \n", + " cosmological_parameters--h0 = 0.728882 + 0.0124591 - 0.00883178 \n", + " cosmological_parameters--omega_k = -0.0823756 + 0.186299 - 0.111779 \n", + " supernova_params--m = -19.2641 + 0.0381559 - 0.0260812 \n", + " cosmological_parameters--ommh2 = 0.169385 + 0.0285808 - 0.0375304 \n", + " prior = nan + nan - nan \n", + " post = -19.2808 + 0.651027 - 1.18368 \n", + "\n", + "\n", + "Marginalized 1D peak, 95% asymmetric error bars:\n", + " cosmological_parameters--omega_m = 0.329059 + 0.0693808 - 0.127444 \n", + " cosmological_parameters--h0 = 0.728882 + 0.0242874 - 0.0201869 \n", + " cosmological_parameters--omega_k = -0.0823756 + 0.344953 - 0.179087 \n", + " supernova_params--m = -19.2641 + 0.0724478 - 0.0627881 \n", + " cosmological_parameters--ommh2 = 0.169385 + 0.0459025 - 0.0661112 \n", + " prior = nan + nan - nan \n", + " post = -19.2808 + 0.932152 - 2.92962 \n", + "\n", + "Marginalized median, std-dev:\n", + " cosmological_parameters--omega_m = 0.306149 ± 0.0564811\n", + " cosmological_parameters--h0 = 0.730876 ± 0.0110451\n", + " cosmological_parameters--omega_k = -0.02707 ± 0.140895\n", + " supernova_params--m = -19.2582 ± 0.0341057\n", + " cosmological_parameters--ommh2 = 0.163162 ± 0.0304644\n", + " prior = 2.40795 ± 4.44089e-16\n", + " post = -19.7525 ± 1.13491\n", + "\n", + "Best likelihood:\n", + " cosmological_parameters--omega_m = 0.337955\n", + " cosmological_parameters--h0 = 0.73113\n", + " cosmological_parameters--omega_k = -0.0973123\n", + " supernova_params--m = -19.2583\n", + " cosmological_parameters--ommh2 = 0.180654\n", + " prior = 2.40795\n", + " post = -18.3487\n", + "\n", + "95% lower limits:\n", + " cosmological_parameters--omega_m > 0.204727\n", + " cosmological_parameters--h0 > 0.71255\n", + " cosmological_parameters--omega_k > -0.232776\n", + " supernova_params--m > -19.313\n", + " cosmological_parameters--ommh2 > 0.108027\n", + " prior > 2.40795\n", + " post > -22.2095\n", + "\n", + "95% upper limits:\n", + " cosmological_parameters--omega_m < 0.38488\n", + " cosmological_parameters--h0 < 0.74927\n", + " cosmological_parameters--omega_k < 0.233488\n", + " supernova_params--m < -19.2035\n", + " cosmological_parameters--ommh2 < 0.207794\n", + " prior < 2.40795\n", + " post < -18.6543\n", + "\n", + "68% lower limits:\n", + " cosmological_parameters--omega_m > 0.27244\n", + " cosmological_parameters--h0 > 0.725993\n", + " cosmological_parameters--omega_k > -0.0945538\n", + " supernova_params--m > -19.2733\n", + " cosmological_parameters--ommh2 > 0.144358\n", + " prior > 2.40795\n", + " post > -20.2432\n", + "\n", + "68% upper limits:\n", + " cosmological_parameters--omega_m < 0.335222\n", + " cosmological_parameters--h0 < 0.736165\n", + " cosmological_parameters--omega_k < 0.0502457\n", + " supernova_params--m < -19.2419\n", + " cosmological_parameters--ommh2 < 0.178901\n", + " prior < 2.40795\n", + " post < -19.3174\n", + "\n", + "NOT saving more than one covariance matrix - just using first ini file\n", + "NOT saving more than one proposal matrix - just using first ini file\n", + "\n", + "#You should cite these papers in any publication based on this pipeline.\n", + " Scolnic et al, ApJ, 859, 28\n", + " Riess et al, ApJLett, 908, 1\n", + "\n", + "Finalizing:\n" ] } ], "source": [ - "!head -100 tmp.txt" + "chain_tmp = chain1[3000:]\n", + "results = cosmosis.postprocessing.run_cosmosis_postprocess([chain1, chain_tmp], legend=\"Emcee|Nautilus\")" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "0917c7d9", + "execution_count": 9, + "id": "e497a95d-60d0-4b59-8514-bd6e11aa8c0f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Table length=14\n", + "
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parametermodessigmadata_set
str32float64float64str7
cosmological_parameters--omega_m0.319949645453632250.05339205322081655chain_0
cosmological_parameters--h00.72785728651883310.012664931086349198chain_0
cosmological_parameters--omega_k-0.100712497936456060.14264626368721645chain_0
supernova_params--m-19.263966114333770.03962964324916038chain_0
cosmological_parameters--ommh20.17475764054570260.02885445154091225chain_0
priornan4.440892098500626e-16chain_0
post-19.203676042863011.2326623040959381chain_0
cosmological_parameters--omega_m0.320283557844742940.054694867438605375chain_1
cosmological_parameters--h00.72652390291299120.013321152012462837chain_1
cosmological_parameters--omega_k-0.095698544136362880.14533913167350318chain_1
supernova_params--m-19.261294998966290.04076150617843129chain_1
cosmological_parameters--ommh20.17324673865012190.0295030533160544chain_1
priornan4.440892098500626e-16chain_1
post-19.80189445313951.2288924065692421chain_1
" + ], "text/plain": [ - "OrderedDict([('final',\n", - " {'efficiency': 0.31248168701958123,\n", - " 'neff': 10249.399334242264,\n", - " 'nsample': 32800,\n", - " 'log_z': -30.184077189355634}),\n", - " ('sampler', 'nautilus'),\n", - " ('n_varied', 4),\n", - " ('module_0', 'consistency 1.0'),\n", - " ('module_1', 'astropy'),\n", - " ('module_1_comment', 'name from ini file'),\n", - " ('module_2', 'pantheon 2018'),\n", - " ('comments',\n", - " ['CITE Scolnic et al, ApJ, 859, 28',\n", - " 'CITE Riess et al, ApJLett, 908, 1',\n", - " 'START_OF_PARAMS_INI',\n", - " '[runtime]',\n", - " 'sampler = nautilus',\n", - " 'root = /Users/jzuntz/src/cosmosis/cosmosis-standard-library',\n", - " 'resume = False',\n", - " 'verbosity = quiet',\n", - " '',\n", - " '[emcee]',\n", - " 'walkers = 32',\n", - " 'samples = 300',\n", - " 'nsteps = 10',\n", - " '',\n", - " '[polychord]',\n", - " 'live_points = 50',\n", - " 'feedback = 5',\n", - " 'base_dir = output/pantheon_pc',\n", - " 'polychord_outfile_root = pantheon_pc',\n", - " '',\n", - " '[multinest]',\n", - " 'max_iterations = 50000',\n", - " 'live_points = 100',\n", - " 'multinest_outfile_root = output/mn',\n", - " '',\n", - " '[output]',\n", - " 'filename = output/pantheon.txt',\n", - " 'format = text',\n", - " '',\n", - " '[pipeline]',\n", - " 'modules = consistency astropy pantheon riess21',\n", - " 'values = examples/pantheon_values.ini',\n", - " 'extra_output = cosmological_parameters/ommh2',\n", - " 'quiet = T',\n", - " 'debug = F',\n", - " 'timing = F',\n", - " '',\n", - " '[maxlike]',\n", - " 'output_ini = output/pantheon_maxlike.ini',\n", - " 'output_covmat = new.cov',\n", - " 'tolerance = 1e-6',\n", - " '',\n", - " '[metropolis]',\n", - " 'cobaya = T',\n", - " 'samples = 50000',\n", - " 'tuning_frequency = 500',\n", - " 'tuning_grace = 1000',\n", - " 'tuning_end = 10000',\n", - " 'nsteps = 1000',\n", - " '',\n", - " '[test]',\n", - " 'save_dir = output/pantheon',\n", - " '',\n", - " '[astropy]',\n", - " 'file = background/astropy_background/astropy_background.py',\n", - " 'model = lambdacdm',\n", - " 'nz = 200',\n", - " 'zmax = 2.0',\n", - " '',\n", - " '[camb]',\n", - " 'file = boltzmann/camb/camb_interface.py',\n", - " 'mode = background',\n", - " 'feedback = 0',\n", - " 'nz_background = 200',\n", - " 'zmin_background = 0.0',\n", - " 'zmax_background = 2.0',\n", - " '',\n", - " '[pantheon]',\n", - " 'file = likelihood/pantheon/pantheon.py',\n", - " 'likelihood_only = T',\n", - " '',\n", - " '[riess21]',\n", - " 'file = likelihood/riess21/riess21.py',\n", - " '',\n", - " '[consistency]',\n", - " 'file = utility/consistency/consistency_interface.py',\n", - " '',\n", - " '[nautilus]',\n", - " 'resume = False',\n", - " '',\n", - " 'END_OF_PARAMS_INI',\n", - " 'START_OF_VALUES_INI',\n", - " '[cosmological_parameters]',\n", - " 'omega_m = 0.15 0.3 0.4',\n", - " 'h0 = 0.6 0.7 0.8',\n", - " 'w = -1.0',\n", - " 'omega_b = 0.04',\n", - " 'omega_k = -0.3 0.0 0.3',\n", - " 'a_s = 2.0e-9',\n", - " 'n_s = 1.0',\n", - " 'tau = 0.08',\n", - " '',\n", - " '[supernova_params]',\n", - " 'm = -21.0 -19.35 -18.0',\n", - " '',\n", - " 'END_OF_VALUES_INI',\n", - " 'START_OF_PRIORS_INI',\n", - " 'END_OF_PRIORS_INI']),\n", - " ('module_3', 'Riess21 2021'),\n", - " ('timestamp', '2023-05-30T13:42:30.995580'),\n", - " ('platform', 'macOS-13.0-arm64-arm-64bit'),\n", - " ('platform_version',\n", - " 'Darwin Kernel Version 22.1.0: Sun Oct 9 20:19:12 PDT 2022; root:xnu-8792.41.9~3/RELEASE_ARM64_T6020'),\n", - " ('uuid', '6d7c173eadf14055ac67bd68e3c56507'),\n", - " ('cosmosis_git_version', ''),\n", - " ('csl_git_version', ''),\n", - " ('cwd_git_version', '97553e392bf96a0b3655689f96074950242e53b5'),\n", - " ('n_live', '1500'),\n", - " ('n_update', '1500'),\n", - " ('enlarge_per_dim', '1.1'),\n", - " ('n_points_min', '54'),\n", - " ('split_threshold', '100.0'),\n", - " ('n_networks', '4'),\n", - " ('n_jobs', '1'),\n", - " ('n_batch', '100'),\n", - " ('seed', '-1'),\n", - " ('resume', 'False'),\n", - " ('f_live', '0.01'),\n", - " ('n_shell', '100'),\n", - " ('n_eff', '10000.0'),\n", - " ('discard_exploration', 'False'),\n", - " ('verbose', 'False')])" + "\n", + " parameter modes sigma data_set\n", + " str32 float64 float64 str7 \n", + "-------------------------------- -------------------- --------------------- --------\n", + "cosmological_parameters--omega_m 0.31994964545363225 0.05339205322081655 chain_0\n", + " cosmological_parameters--h0 0.7278572865188331 0.012664931086349198 chain_0\n", + "cosmological_parameters--omega_k -0.10071249793645606 0.14264626368721645 chain_0\n", + " supernova_params--m -19.26396611433377 0.03962964324916038 chain_0\n", + " cosmological_parameters--ommh2 0.1747576405457026 0.02885445154091225 chain_0\n", + " prior nan 4.440892098500626e-16 chain_0\n", + " post -19.20367604286301 1.2326623040959381 chain_0\n", + "cosmological_parameters--omega_m 0.32028355784474294 0.054694867438605375 chain_1\n", + " cosmological_parameters--h0 0.7265239029129912 0.013321152012462837 chain_1\n", + "cosmological_parameters--omega_k -0.09569854413636288 0.14533913167350318 chain_1\n", + " supernova_params--m -19.26129499896629 0.04076150617843129 chain_1\n", + " cosmological_parameters--ommh2 0.1732467386501219 0.0295030533160544 chain_1\n", + " prior nan 4.440892098500626e-16 chain_1\n", + " post -19.8018944531395 1.2288924065692421 chain_1" ] }, - "execution_count": 20, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "chain2.meta" + "results.outputs['modes'].value.to_astropy()" ] }, { "cell_type": "code", "execution_count": null, - "id": "0366aecc", + "id": "6a349558-9432-4303-81d2-5c289f0bb6b4", "metadata": {}, "outputs": [], "source": [] From e9f453dc75cfad6e36462cffda75aa2cb4cbe54e Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Sat, 22 Jul 2023 13:24:16 +0100 Subject: [PATCH 04/25] Change quiet setting to verbosity --- demos/chaining.ini | 3 +-- demos/demo1.ini | 2 +- demos/demo10.ini | 3 +-- demos/demo12.ini | 3 +-- demos/demo13.ini | 4 +--- demos/demo15.ini | 2 +- demos/demo19.ini | 2 +- demos/demo3.ini | 2 +- demos/demo5.ini | 3 +-- demos/demo6.ini | 2 +- demos/demo7.ini | 4 +--- demos/demo8.ini | 2 +- demos/demo_abc.ini | 5 +---- demos/metropolis.ini | 3 +-- demos/mocks.ini | 2 +- examples/act-dr6-lens.ini | 2 +- examples/bao.ini | 3 +-- examples/des-y1.ini | 3 +-- examples/des-y3-6x2.ini | 1 + examples/des-y3-mira-titan.ini | 3 +-- examples/des-y3-shear.ini | 3 +-- examples/des-y3.ini | 3 +-- examples/euclid-emulator.ini | 3 +-- examples/lsst_forecast/lsst_analyze.ini | 2 +- examples/pantheon.ini | 3 +-- examples/pantheon_plus_shoes.ini | 3 +-- examples/planck.ini | 2 +- examples/planck_class.ini | 2 +- examples/planck_lite.ini | 2 +- examples/various-spectra.ini | 2 +- examples/w_model.ini | 4 +--- examples/wmap.ini | 2 +- likelihood/sptpol/spt.ini | 2 +- 33 files changed, 33 insertions(+), 54 deletions(-) diff --git a/demos/chaining.ini b/demos/chaining.ini index db9893f9..ac54cc37 100644 --- a/demos/chaining.ini +++ b/demos/chaining.ini @@ -2,6 +2,7 @@ ; The emcee sampler, which uses the Goodman & Weare algorithm sampler = emcee ; metropolis +verbosity = quiet [emcee] @@ -30,7 +31,6 @@ nsteps = 50 [output] filename = demo5.txt format = text -verbosity= debug [pipeline] ; We use two likelihoods, the JLA (for high redshift) and @@ -40,7 +40,6 @@ modules = consistency camb jla riess11 values = demos/values5.ini extra_output = likelihoods = jla riess -quiet=T debug=F timing=F diff --git a/demos/demo1.ini b/demos/demo1.ini index 97e2a8ab..6a170032 100644 --- a/demos/demo1.ini +++ b/demos/demo1.ini @@ -2,6 +2,7 @@ ; The test sampler just runs a single parameter set sampler = test root = ${PWD} +verbosity = standard [test] ; These are the parameters for this sampler. @@ -24,7 +25,6 @@ values = demos/values1.ini ; Not used here, becuase we are not sampling likelihoods = extra_output = -quiet=F debug=T timing=F diff --git a/demos/demo10.ini b/demos/demo10.ini index 616242b8..f1a1ad8f 100644 --- a/demos/demo10.ini +++ b/demos/demo10.ini @@ -1,6 +1,7 @@ [runtime] ; changed sampler from test to grid sampler = grid +verbosity = standard [grid] ;parameters for grid are here @@ -19,8 +20,6 @@ values = demos/values10.ini likelihoods = cfhtlens extra_output = -; We can get a little more output during the run by setting some values -quiet=F timing=F debug=F diff --git a/demos/demo12.ini b/demos/demo12.ini index e353d01a..c67fc9d4 100644 --- a/demos/demo12.ini +++ b/demos/demo12.ini @@ -1,6 +1,6 @@ [runtime] sampler = test - +verbosity = standard [test] save_dir=output/demo12 @@ -13,7 +13,6 @@ values = demos/values12.ini likelihoods = evs priors = demos/priors12.ini extra_output = -quiet=T debug=T timing=F diff --git a/demos/demo13.ini b/demos/demo13.ini index 111c4aa4..e0bae111 100644 --- a/demos/demo13.ini +++ b/demos/demo13.ini @@ -9,7 +9,7 @@ ;it's still useful sampler = snake - +verbosity = quiet [snake] ; Snake tries to explore at most 5 log-like points away from the peak @@ -25,7 +25,6 @@ nsample_dimension = 20 [output] filename = output/demo13.txt format = text -verbosity= debug [pipeline] ; We use two likelihoods, the JLA (for high redshift) and @@ -35,7 +34,6 @@ modules = consistency camb jla riess11 values = demos/values13.ini extra_output = likelihoods/jla_like likelihoods = jla riess -quiet=T debug=F timing=F diff --git a/demos/demo15.ini b/demos/demo15.ini index 9cbd6606..2eb34377 100644 --- a/demos/demo15.ini +++ b/demos/demo15.ini @@ -1,6 +1,7 @@ ; Demonstrate the different angular two-point functions in the standard library [runtime] sampler = test +verbosity = standard [test] save_dir=output/demo15 @@ -12,7 +13,6 @@ values = demos/values15.ini ; Not used here, becuase we are not sampling likelihoods = extra_output = -quiet=F debug=T timing=F diff --git a/demos/demo19.ini b/demos/demo19.ini index c2242e82..497ee234 100644 --- a/demos/demo19.ini +++ b/demos/demo19.ini @@ -2,6 +2,7 @@ ; The test sampler just runs a single parameter set sampler = grid root = . +verbosity = standard [grid] nsample_dimension=50 @@ -32,7 +33,6 @@ values = demos/values19.ini ; Not used here, becuase we are not sampling likelihoods = he0435 extra_output = -quiet=T debug=F timing=F diff --git a/demos/demo3.ini b/demos/demo3.ini index 25b92552..8e00a93e 100644 --- a/demos/demo3.ini +++ b/demos/demo3.ini @@ -1,5 +1,6 @@ [runtime] sampler = grid +verbosity = standard [grid] ; The number of samples to take in each @@ -9,7 +10,6 @@ nsample_dimension = 25 [pipeline] modules = consistency camb bicep2 values = demos/values3.ini -quiet = F [output] diff --git a/demos/demo5.ini b/demos/demo5.ini index 14a4e5da..16247fe8 100644 --- a/demos/demo5.ini +++ b/demos/demo5.ini @@ -2,6 +2,7 @@ ; The emcee sampler, which uses the Goodman & Weare algorithm sampler = emcee root = ${PWD} +verbosity = quiet [emcee] ; The emcee sampler uses the concept of walkers, a collection @@ -22,7 +23,6 @@ nsteps = 100 [output] filename = output/demo5.txt format = text -verbosity= debug [pipeline] ; We use two likelihoods, the JLA (for high redshift) and @@ -31,7 +31,6 @@ verbosity= debug modules = consistency camb jla riess11 values = demos/values5.ini extra_output = -quiet=T debug=F timing=F diff --git a/demos/demo6.ini b/demos/demo6.ini index 80015623..741f8401 100644 --- a/demos/demo6.ini +++ b/demos/demo6.ini @@ -1,6 +1,7 @@ [runtime] ; The test sampler just runs a single parameter set sampler = test +verbosity = standard [test] save_dir=output/demo6 @@ -25,7 +26,6 @@ likelihoods = cfhtlens extra_output = ; We can get a little more output during the run by setting some values -quiet=F timing=T debug=T diff --git a/demos/demo7.ini b/demos/demo7.ini index afd337ac..720bfbae 100644 --- a/demos/demo7.ini +++ b/demos/demo7.ini @@ -1,7 +1,7 @@ [runtime] ; We use the grid sampler, as in demo 3. But this time we go over 2 dimensions. sampler = grid - +verbosity = quiet [grid] ; We do a 20 x 20 grid for a total of 400 points @@ -14,7 +14,6 @@ nstep = 100 [output] filename = output/demo7.txt format = text -verbosity= debug [pipeline] ; We use one likelihood, the boss likelihood which uses growth parameters @@ -23,7 +22,6 @@ modules = growthfunction boss values = demos/values7.ini likelihoods = boss extra_output = -quiet=T debug=F timing=F diff --git a/demos/demo8.ini b/demos/demo8.ini index 85265d46..76b5687e 100644 --- a/demos/demo8.ini +++ b/demos/demo8.ini @@ -1,6 +1,7 @@ [runtime] ; The test sampler just runs a single parameter set sampler = test +verbosity = standard [test] save_dir=output/demo8 @@ -15,7 +16,6 @@ values = demos/values8.ini ; Not used here, becuase we are not sampling likelihoods = extra_output = -quiet=F debug=T timing=F diff --git a/demos/demo_abc.ini b/demos/demo_abc.ini index 995727c5..d44d57a6 100644 --- a/demos/demo_abc.ini +++ b/demos/demo_abc.ini @@ -2,6 +2,7 @@ ; The test sampler just runs a single parameter set sampler = abc root = . +verbosity = quiet [abc] ;For a given set of parameters the ABC @@ -26,7 +27,6 @@ ngauss = 4 [output] filename = demo_abc.txt format = text -verbosity= debug [test] ; These are the parameters for this sampler. @@ -49,9 +49,6 @@ values = demos/values_abc.ini ; Not used here, becuase we are not sampling likelihoods = abc_multigauss extra_output = -;ABC sampler runs the pipeline many times over before parameters -;are accepted, best to set quiet = T -quiet=T debug=F timing=F diff --git a/demos/metropolis.ini b/demos/metropolis.ini index 20125dbc..662894c0 100644 --- a/demos/metropolis.ini +++ b/demos/metropolis.ini @@ -1,6 +1,7 @@ [runtime] ; The emcee sampler, which uses the Goodman & Weare algorithm sampler = metropolis +verbosity = quiet [metropolis] samples = 20000 @@ -11,7 +12,6 @@ random_start = F [output] filename = demo_mcmc.txt format = text -verbosity= debug [pipeline] ; We use two likelihoods, the JLA (for high redshift) and @@ -21,7 +21,6 @@ modules = consistency camb jla riess11 values = demos/values5.ini extra_output = likelihoods = jla riess -quiet=T debug=F timing=F diff --git a/demos/mocks.ini b/demos/mocks.ini index 76f7296f..43c2ec08 100644 --- a/demos/mocks.ini +++ b/demos/mocks.ini @@ -2,6 +2,7 @@ ; The test sampler just runs a single parameter set sampler = test root = . +verbosity = standard [test] ; These are the parameters for this sampler. @@ -24,7 +25,6 @@ values = demos/values1.ini ; Not used here, becuase we are not sampling likelihoods = extra_output = -quiet=F debug=T timing=F diff --git a/examples/act-dr6-lens.ini b/examples/act-dr6-lens.ini index f47b97ab..cc1b8bdd 100644 --- a/examples/act-dr6-lens.ini +++ b/examples/act-dr6-lens.ini @@ -2,6 +2,7 @@ sampler = test root = ${PWD} resume = T +verbosity = noisy [test] save_dir=output/act_dr6_lens @@ -22,7 +23,6 @@ nsteps = 5 modules = consistency camb act_dr6_lens values = examples/act-dr6-lens-values.ini priors = examples/act-dr6-lens-priors.ini -quiet=F debug=F timing=F extra_output=cosmological_parameters/sigma_8 cosmological_parameters/omega_m diff --git a/examples/bao.ini b/examples/bao.ini index 9ef85973..3575d5cd 100644 --- a/examples/bao.ini +++ b/examples/bao.ini @@ -1,13 +1,12 @@ [runtime] sampler = test - +verbosity = quiet ; WARNING: Some of these likelihoods have data in common. ; You shouldn't use them all in a real pipeline - this is just for testing [pipeline] modules = consistency camb 6dfgs_1 6dfgs_2 6dfgs_3 6dfgs_4 boss_0 boss_1 boss_dr12_0 boss_dr12_1 eboss_lrg eboss_lya des_y3_bao_1 des_y3_bao_2 des_y3_bao_3 des_y3_bao_4 eboss16_boss_0 eboss16_boss_1 eboss16_elg_0 eboss16_elg_1 eboss16_lrg_0 eboss16_lrg_1 eboss16_lya eboss16_mgs eboss16_qso_0 eboss16_qso_1 mgs wigglez -quiet=T timing=F debug=F values = examples/bao-values.ini diff --git a/examples/des-y1.ini b/examples/des-y1.ini index 56f5e5c6..cd56b2b5 100644 --- a/examples/des-y1.ini +++ b/examples/des-y1.ini @@ -3,6 +3,7 @@ ;*********************************** [runtime] sampler = test +verbosity = standard [pipeline] fast_slow = F @@ -45,8 +46,6 @@ modules = 2pt_like extra_output = cosmological_parameters/sigma_8 ; Derived parameter to save - -quiet=F timing=F debug=F diff --git a/examples/des-y3-6x2.ini b/examples/des-y3-6x2.ini index d8b5fadb..88d8352e 100644 --- a/examples/des-y3-6x2.ini +++ b/examples/des-y3-6x2.ini @@ -2,6 +2,7 @@ [runtime] sampler = test +verbosity = standard [DEFAULT] 2PT_FILE=likelihood/des-y3/y3_5x2_maglim_UNBLIND_07202021_120721_bestfit3x2.fits diff --git a/examples/des-y3-mira-titan.ini b/examples/des-y3-mira-titan.ini index 271f3e7f..e35c3063 100644 --- a/examples/des-y3-mira-titan.ini +++ b/examples/des-y3-mira-titan.ini @@ -1,6 +1,6 @@ [runtime] sampler = test - +verbosity = standard ; This parameter is used several times in this file, so is ; put in the DEFAULT section and is referenced below as %(2PT_FILE)s @@ -17,7 +17,6 @@ modules = consistency bbn_consistency shear_m_bias add_point_mass 2pt_like shear_ratio_like -quiet=F timing=F debug=F priors = examples/des-y3-priors.ini diff --git a/examples/des-y3-shear.ini b/examples/des-y3-shear.ini index 868dabd1..75c6b0b6 100644 --- a/examples/des-y3-shear.ini +++ b/examples/des-y3-shear.ini @@ -3,7 +3,7 @@ ; related to galaxy density and galaxy-galaxy lensing [runtime] sampler = test - +verbosity = standard ; This parameter is used several times in this file, so is ; put in the DEFAULT section and is referenced below as %(2PT_FILE)s @@ -20,7 +20,6 @@ modules = consistency bbn_consistency shear_m_bias 2pt_like -quiet=F timing=F debug=F priors = examples/des-y3-priors.ini diff --git a/examples/des-y3.ini b/examples/des-y3.ini index d0e1cf01..8467b5c1 100644 --- a/examples/des-y3.ini +++ b/examples/des-y3.ini @@ -1,6 +1,6 @@ [runtime] sampler = test - +verbosity = standard ; This parameter is used several times in this file, so is ; put in the DEFAULT section and is referenced below as %(2PT_FILE)s @@ -17,7 +17,6 @@ modules = consistency bbn_consistency shear_m_bias add_point_mass 2pt_like shear_ratio_like -quiet=F timing=F debug=F priors = examples/des-y3-priors.ini diff --git a/examples/euclid-emulator.ini b/examples/euclid-emulator.ini index 21acd297..4b7511e1 100644 --- a/examples/euclid-emulator.ini +++ b/examples/euclid-emulator.ini @@ -1,12 +1,11 @@ [runtime] sampler = test - +verbosity = standard [pipeline] modules = consistency bbn_consistency camb extrapolate euclid_emulator -quiet=F timing=F debug=F diff --git a/examples/lsst_forecast/lsst_analyze.ini b/examples/lsst_forecast/lsst_analyze.ini index d8d0add0..3c0e9af2 100644 --- a/examples/lsst_forecast/lsst_analyze.ini +++ b/examples/lsst_forecast/lsst_analyze.ini @@ -3,6 +3,7 @@ ;*********************************** [runtime] sampler = test +verbosity = standard [test] save_dir=output/lsst_forecast @@ -21,7 +22,6 @@ filename=outputs/lsst_forecast.txt format=text [pipeline] -quiet=F timing=F debug=T modules = consistency camb extrapolate load_nz photoz_bias_source photoz_bias_lens unbiased_galaxies nonlinear_linear_alignment pk_to_cl galaxy_bias shear_calibration add_intrinsic 2pt_like diff --git a/examples/pantheon.ini b/examples/pantheon.ini index b6f89d3e..6b5b47a7 100644 --- a/examples/pantheon.ini +++ b/examples/pantheon.ini @@ -3,6 +3,7 @@ sampler = emcee root = ${PWD} resume=T +verbosity = quiet [emcee] ; The emcee sampler uses the concept of walkers, a collection @@ -42,7 +43,6 @@ multinest_outfile_root=output/mn [output] filename = output/pantheon.txt format = text -verbosity = debug [pipeline] ; We use two likelihoods, the JLA (for high redshift) and @@ -54,7 +54,6 @@ verbosity = debug modules = consistency astropy pantheon riess21 values = examples/pantheon_values.ini extra_output = cosmological_parameters/ommh2 -quiet=T debug=F timing=F diff --git a/examples/pantheon_plus_shoes.ini b/examples/pantheon_plus_shoes.ini index a1ff2e67..de8377fd 100644 --- a/examples/pantheon_plus_shoes.ini +++ b/examples/pantheon_plus_shoes.ini @@ -2,6 +2,7 @@ sampler = emcee root = ${PWD} resume=T +verbosity = standard [emcee] walkers = 32 @@ -12,13 +13,11 @@ nsteps = 10 [output] filename = output/pantheon_plus_shoes.txt format = text -verbosity = debug [pipeline] modules = consistency astropy pantheon_plus values = examples/pantheon_plus_shoes_values.ini extra_output = cosmological_parameters/omega_lambda -quiet=T debug=F timing=F diff --git a/examples/planck.ini b/examples/planck.ini index ae795e15..3e3547f2 100644 --- a/examples/planck.ini +++ b/examples/planck.ini @@ -1,6 +1,7 @@ [runtime] sampler = test root = ${PWD} +verbosity = standard [test] save_dir=output/planck @@ -16,7 +17,6 @@ planck_path = likelihood/planck2018/baseline/plc_3.0 ; these names refer to sections later in the file: modules = consistency camb planck values = examples/planck_values.ini -quiet=F debug=T timing=F diff --git a/examples/planck_class.ini b/examples/planck_class.ini index 312cbedd..015d595e 100644 --- a/examples/planck_class.ini +++ b/examples/planck_class.ini @@ -1,6 +1,7 @@ [runtime] sampler = test root = ${PWD} +verbosity = standard [test] save_dir=output/planck_class @@ -16,7 +17,6 @@ planck_path = likelihood/planck2018/baseline/plc_3.0 ; these names refer to sections later in the file: modules = consistency class planck values = examples/planck_values.ini -quiet=F debug=T timing=F diff --git a/examples/planck_lite.ini b/examples/planck_lite.ini index c19f06a8..b4288904 100644 --- a/examples/planck_lite.ini +++ b/examples/planck_lite.ini @@ -1,6 +1,7 @@ [runtime] sampler = test root = ${PWD} +verbosity = standard [test] save_dir=output/planck @@ -11,7 +12,6 @@ fatal_errors=T ; these names refer to sections later in the file: modules = consistency camb planck values = examples/planck_lite_values.ini -quiet=F debug=T timing=T diff --git a/examples/various-spectra.ini b/examples/various-spectra.ini index c015b3c1..0a081179 100644 --- a/examples/various-spectra.ini +++ b/examples/various-spectra.ini @@ -1,6 +1,7 @@ ; Demonstrate the different angular two-point functions in the standard library [runtime] sampler = test +verbosity = standard [test] save_dir=output/various-spectra @@ -12,7 +13,6 @@ values = examples/various-spectra-values.ini ; Not used here, becuase we are not sampling likelihoods = extra_output = -quiet=F debug=T timing=F diff --git a/examples/w_model.ini b/examples/w_model.ini index aa282807..da996c5f 100644 --- a/examples/w_model.ini +++ b/examples/w_model.ini @@ -2,7 +2,7 @@ ; The emcee sampler, which uses the Goodman & Weare algorithm sampler = maxlike root = ${PWD} - +verbosity = quiet [maxlike] @@ -57,7 +57,6 @@ nsteps = 10 [output] filename = output/w-model.txt format = text -verbosity = debug [pipeline] ; We use two likelihoods, Pantheon (for high redshift) and @@ -66,7 +65,6 @@ verbosity = debug modules = consistency log_w_model camb pantheon riess21 values = examples/w_model_values.ini extra_output = -quiet=T debug=F timing=F diff --git a/examples/wmap.ini b/examples/wmap.ini index 3db5c118..b298d792 100644 --- a/examples/wmap.ini +++ b/examples/wmap.ini @@ -1,6 +1,7 @@ [runtime] sampler = test root = ${PWD} +verbosity = standard [test] save_dir=output/wmap @@ -11,7 +12,6 @@ fatal_errors=T ; these names refer to sections later in the file: modules = consistency camb wmap values = examples/planck_values.ini -quiet=F debug=T timing=F diff --git a/likelihood/sptpol/spt.ini b/likelihood/sptpol/spt.ini index 1a940279..4bbedce7 100644 --- a/likelihood/sptpol/spt.ini +++ b/likelihood/sptpol/spt.ini @@ -2,6 +2,7 @@ ; The test sampler just runs a single parameter set sampler = test root = ${COSMOSIS_SRC_DIR} +verbosity = standard [test] ; These are the parameters for this sampler. @@ -24,7 +25,6 @@ values = demos/spt_values.ini ; Not used here, becuase we are not sampling likelihoods = sptpol extra_output = -quiet=F debug=T timing=F From 0719599959e98ca3de64f958ca9f950977180d35 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Sat, 22 Jul 2023 18:32:49 +0100 Subject: [PATCH 05/25] switch temporarily to new branch in apt-get test --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index e14eb363..e9cff4eb 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -258,7 +258,7 @@ jobs: - name: Install python dependencies run: | python -m pip install --upgrade pip wheel setuptools - pip install cosmosis + pip install git+https://github.com/joezuntz/cosmosis@interactive-use pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb pip install fitsio astropy fast-pt Cython From 4d5380b4babed9b11de8cf918476edabee875964 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Sun, 23 Jul 2023 17:06:16 +0100 Subject: [PATCH 06/25] force cython < 3 --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index e9cff4eb..1253dbd2 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -260,7 +260,7 @@ jobs: python -m pip install --upgrade pip wheel setuptools pip install git+https://github.com/joezuntz/cosmosis@interactive-use pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb - pip install fitsio astropy fast-pt Cython + pip install fitsio astropy fast-pt "Cython<3.0" - name: Build run: | From 4778852d0f53b6c9301b173a1a6ceb7cad51991d Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Mon, 24 Jul 2023 13:01:21 +0100 Subject: [PATCH 07/25] Run example notebook in CI --- .github/workflows/ci.yml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 1253dbd2..620878b6 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -114,6 +114,13 @@ jobs: cosmosis examples/pantheon_plus_shoes.ini -p runtime.sampler=test | tee output/pantheon_plus_shoes_log.txt grep 'Likelihood = -738.23' output/pantheon_plus_shoes_log.txt + - name: ExampleNotebook + shell: bash -l {0} + run: | + source cosmosis-configure + rm -f output/pantheon.txt + jupyter nbconvert --to notebook --execute "examples/example.ipynb" + - name: DES Y1 likelihood shell: bash -l {0} run: | From 4b748b3e2a96947b1137b01e5f34e6d6b3727597 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Mon, 24 Jul 2023 13:08:23 +0100 Subject: [PATCH 08/25] install jupyter for CI --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 620878b6..c2dfd8b7 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge cosmosis "numpy<1.24" cosmosis-build-standard-library + run: mamba install -c conda-forge cosmosis cosmosis-build-standard-library jupyter - name: Build standard library shell: bash -l {0} From de66ffcb249fe108b51aa8138dc254a4fe67a038 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Mon, 24 Jul 2023 13:10:07 +0100 Subject: [PATCH 09/25] move jupyter test to right place --- .github/workflows/ci.yml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c2dfd8b7..a53402c5 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge cosmosis cosmosis-build-standard-library jupyter + run: mamba install -c conda-forge cosmosis cosmosis-build-standard-library - name: Build standard library shell: bash -l {0} @@ -114,13 +114,6 @@ jobs: cosmosis examples/pantheon_plus_shoes.ini -p runtime.sampler=test | tee output/pantheon_plus_shoes_log.txt grep 'Likelihood = -738.23' output/pantheon_plus_shoes_log.txt - - name: ExampleNotebook - shell: bash -l {0} - run: | - source cosmosis-configure - rm -f output/pantheon.txt - jupyter nbconvert --to notebook --execute "examples/example.ipynb" - - name: DES Y1 likelihood shell: bash -l {0} run: | @@ -267,7 +260,7 @@ jobs: python -m pip install --upgrade pip wheel setuptools pip install git+https://github.com/joezuntz/cosmosis@interactive-use pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb - pip install fitsio astropy fast-pt "Cython<3.0" + pip install fitsio astropy fast-pt "Cython<3.0" jupyter - name: Build run: | @@ -301,3 +294,10 @@ jobs: cosmosis demos/demo9.ini -p multinest.live_points=100 cosmosis-postprocess output/demo9.txt -o output/demo9 test -f output/demo9/2D_supernova_params--deltam_cosmological_parameters--omega_m.png + + - name: ExampleNotebook + shell: bash -l {0} + run: | + source cosmosis-configure + rm -f output/pantheon.txt + jupyter nbconvert --to notebook --execute "examples/example.ipynb" From 0244911ff13df22edd5b0c0398355f10c816dc75 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Mon, 24 Jul 2023 13:44:10 +0100 Subject: [PATCH 10/25] force np 1.24 again --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index a53402c5..d0167961 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -260,7 +260,7 @@ jobs: python -m pip install --upgrade pip wheel setuptools pip install git+https://github.com/joezuntz/cosmosis@interactive-use pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb - pip install fitsio astropy fast-pt "Cython<3.0" jupyter + pip install fitsio astropy fast-pt "Cython<3.0" jupyter "numpy<1.24" - name: Build run: | From 8141841900ff42d74f3dac1ca7e264fbe0f9b154 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Wed, 26 Jul 2023 14:36:28 +0100 Subject: [PATCH 11/25] Rerun notebook --- examples/example.ipynb | 1399 ++++++++++++++++++++++++++-------------- 1 file changed, 927 insertions(+), 472 deletions(-) diff --git a/examples/example.ipynb b/examples/example.ipynb index 7c9ad36f..20ec4421 100644 --- a/examples/example.ipynb +++ b/examples/example.ipynb @@ -1,21 +1,5 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "5e65bb9c-4f6a-4f51-8c8f-511214a6d04b", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e230f3d2-bc07-4a45-adb5-b144fb313947", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "5085ffc9", @@ -52,6 +36,14 @@ "import cosmosis.postprocessing" ] }, + { + "cell_type": "markdown", + "id": "7334180f", + "metadata": {}, + "source": [ + "This example is designed to be run from the main CosmoSIS Standard Library directory, so we first switch to there." + ] + }, { "cell_type": "code", "execution_count": 2, @@ -125,37 +117,30 @@ "id": "c889e700", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "Setting up pipeline from parameter file examples/pantheon.ini\n", - "-------------------------------------------------------------\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Setup all pipeline modules\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "-------------------------------------------------------------\n", + "\n", + "Setting up module consistency\n", + "------------------------------\n", + "\n", + "Setting up module astropy\n", + "--------------------------\n", + "\n", + "Setting up module pantheon\n", + "---------------------------\n", "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "\n", + "Setting up module riess21\n", + "--------------------------\n", "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "Setup all pipeline modules\n", + "\n", "\n", "Parameter Priors\n", "----------------\n", @@ -173,19 +158,45 @@ "* Running sampler 1/1: emcee\n", "* Running in serial mode.\n", "* Saving output -> output/pantheon.txt\n", - "* Note: You set resume=T so I will resume from file output/pantheon.txt\n", + "* Note: You set resume=T but the file output/pantheon.txt does not exist so I will start a new one\n", "****************************************************\n", "Generating starting positions in small ball around starting point\n", - "You told me to resume the chain - it has already completed (with 9600 samples), so sampling will end.\n", - "Increase the 'samples' parameter to keep going.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Total posterior evaluations = 0 across all processes\n", - "Successful posterior evaluations = 0 across all processes\n" + "Begun sampling\n", + "Using likelihooods from first run:\n", + " - pantheon\n", + " - riess21\n", + "Done 10 iterations of emcee. Acceptance fraction 0.684\n", + "Done 20 iterations of emcee. Acceptance fraction 0.677\n", + "Done 30 iterations of emcee. Acceptance fraction 0.662\n", + "Done 40 iterations of emcee. Acceptance fraction 0.645\n", + "Done 50 iterations of emcee. Acceptance fraction 0.640\n", + "Done 60 iterations of emcee. Acceptance fraction 0.630\n", + "Done 70 iterations of emcee. Acceptance fraction 0.622\n", + "Done 80 iterations of emcee. Acceptance fraction 0.616\n", + "Done 90 iterations of emcee. Acceptance fraction 0.608\n", + "Done 100 iterations of emcee. Acceptance fraction 0.605\n", + "Done 110 iterations of emcee. Acceptance fraction 0.604\n", + "Done 120 iterations of emcee. Acceptance fraction 0.600\n", + "Done 130 iterations of emcee. Acceptance fraction 0.598\n", + "Done 140 iterations of emcee. Acceptance fraction 0.599\n", + "Done 150 iterations of emcee. Acceptance fraction 0.598\n", + "Done 160 iterations of emcee. Acceptance fraction 0.600\n", + "Done 170 iterations of emcee. Acceptance fraction 0.601\n", + "Done 180 iterations of emcee. Acceptance fraction 0.602\n", + "Done 190 iterations of emcee. Acceptance fraction 0.601\n", + "Done 200 iterations of emcee. Acceptance fraction 0.597\n", + "Done 210 iterations of emcee. Acceptance fraction 0.595\n", + "Done 220 iterations of emcee. Acceptance fraction 0.593\n", + "Done 230 iterations of emcee. Acceptance fraction 0.592\n", + "Done 240 iterations of emcee. Acceptance fraction 0.591\n", + "Done 250 iterations of emcee. Acceptance fraction 0.589\n", + "Done 260 iterations of emcee. Acceptance fraction 0.590\n", + "Done 270 iterations of emcee. Acceptance fraction 0.588\n", + "Done 280 iterations of emcee. Acceptance fraction 0.589\n", + "Done 290 iterations of emcee. Acceptance fraction 0.587\n", + "Done 300 iterations of emcee. Acceptance fraction 0.585\n", + "Total posterior evaluations = 8550 across all processes\n", + "Successful posterior evaluations = 8550 across all processes\n" ] }, { @@ -243,25 +254,30 @@ "id": "7e245ee9", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n", - "Setup all pipeline modules\n", - "\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "Setting up pipeline from parameter file examples/pantheon.ini\n", "-------------------------------------------------------------\n", + "\n", + "Setting up module consistency\n", + "------------------------------\n", + "\n", + "Setting up module astropy\n", + "--------------------------\n", + "\n", + "Setting up module pantheon\n", + "---------------------------\n", "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "\n", + "Setting up module riess21\n", + "--------------------------\n", "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "Setup all pipeline modules\n", + "\n", "\n", "Parameter Priors\n", "----------------\n", @@ -283,45 +299,39 @@ "Begun sampling\n", "Using likelihooods from first run:\n", " - pantheon\n", - " - riess21\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Done 10 iterations of emcee. Acceptance fraction 0.709\n", - "Done 20 iterations of emcee. Acceptance fraction 0.683\n", - "Done 30 iterations of emcee. Acceptance fraction 0.650\n", - "Done 40 iterations of emcee. Acceptance fraction 0.633\n", - "Done 50 iterations of emcee. Acceptance fraction 0.632\n", - "Done 60 iterations of emcee. Acceptance fraction 0.629\n", - "Done 70 iterations of emcee. Acceptance fraction 0.622\n", - "Done 80 iterations of emcee. Acceptance fraction 0.613\n", - "Done 90 iterations of emcee. Acceptance fraction 0.615\n", - "Done 100 iterations of emcee. Acceptance fraction 0.612\n", - "Done 110 iterations of emcee. Acceptance fraction 0.612\n", - "Done 120 iterations of emcee. Acceptance fraction 0.605\n", - "Done 130 iterations of emcee. Acceptance fraction 0.600\n", - "Done 140 iterations of emcee. Acceptance fraction 0.597\n", - "Done 150 iterations of emcee. Acceptance fraction 0.599\n", - "Done 160 iterations of emcee. Acceptance fraction 0.602\n", - "Done 170 iterations of emcee. Acceptance fraction 0.602\n", - "Done 180 iterations of emcee. Acceptance fraction 0.598\n", - "Done 190 iterations of emcee. Acceptance fraction 0.595\n", - "Done 200 iterations of emcee. Acceptance fraction 0.596\n", - "Done 210 iterations of emcee. Acceptance fraction 0.595\n", - "Done 220 iterations of emcee. Acceptance fraction 0.592\n", - "Done 230 iterations of emcee. Acceptance fraction 0.594\n", - "Done 240 iterations of emcee. Acceptance fraction 0.593\n", - "Done 250 iterations of emcee. Acceptance fraction 0.591\n", - "Done 260 iterations of emcee. Acceptance fraction 0.591\n", - "Done 270 iterations of emcee. Acceptance fraction 0.591\n", - "Done 280 iterations of emcee. Acceptance fraction 0.591\n", - "Done 290 iterations of emcee. Acceptance fraction 0.589\n", - "Done 300 iterations of emcee. Acceptance fraction 0.591\n", - "Total posterior evaluations = 8543 across all processes\n", - "Successful posterior evaluations = 8543 across all processes\n" + " - riess21\n", + "Done 10 iterations of emcee. Acceptance fraction 0.728\n", + "Done 20 iterations of emcee. Acceptance fraction 0.700\n", + "Done 30 iterations of emcee. Acceptance fraction 0.671\n", + "Done 40 iterations of emcee. Acceptance fraction 0.659\n", + "Done 50 iterations of emcee. Acceptance fraction 0.641\n", + "Done 60 iterations of emcee. Acceptance fraction 0.630\n", + "Done 70 iterations of emcee. Acceptance fraction 0.621\n", + "Done 80 iterations of emcee. Acceptance fraction 0.621\n", + "Done 90 iterations of emcee. Acceptance fraction 0.612\n", + "Done 100 iterations of emcee. Acceptance fraction 0.608\n", + "Done 110 iterations of emcee. Acceptance fraction 0.602\n", + "Done 120 iterations of emcee. Acceptance fraction 0.601\n", + "Done 130 iterations of emcee. Acceptance fraction 0.596\n", + "Done 140 iterations of emcee. Acceptance fraction 0.593\n", + "Done 150 iterations of emcee. Acceptance fraction 0.593\n", + "Done 160 iterations of emcee. Acceptance fraction 0.591\n", + "Done 170 iterations of emcee. Acceptance fraction 0.592\n", + "Done 180 iterations of emcee. Acceptance fraction 0.590\n", + "Done 190 iterations of emcee. Acceptance fraction 0.588\n", + "Done 200 iterations of emcee. Acceptance fraction 0.587\n", + "Done 210 iterations of emcee. Acceptance fraction 0.584\n", + "Done 220 iterations of emcee. Acceptance fraction 0.585\n", + "Done 230 iterations of emcee. Acceptance fraction 0.583\n", + "Done 240 iterations of emcee. Acceptance fraction 0.584\n", + "Done 250 iterations of emcee. Acceptance fraction 0.585\n", + "Done 260 iterations of emcee. Acceptance fraction 0.586\n", + "Done 270 iterations of emcee. Acceptance fraction 0.587\n", + "Done 280 iterations of emcee. Acceptance fraction 0.587\n", + "Done 290 iterations of emcee. Acceptance fraction 0.586\n", + "Done 300 iterations of emcee. Acceptance fraction 0.583\n", + "Total posterior evaluations = 8557 across all processes\n", + "Successful posterior evaluations = 8557 across all processes\n" ] } ], @@ -349,19 +359,19 @@ "data": { "text/html": [ "
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cosmological_parameters--omega_mcosmological_parameters--h0cosmological_parameters--omega_ksupernova_params--mCOSMOLOGICAL_PARAMETERS--OMMH2priorpost
float64float64float64float64float64float64float64
0.29965732052081530.69996428659759020.0006718507890093649-19.3466118732938560.146817104941934652.407945608651871-21.630752785736775
0.299806975135638030.7001040396277975-0.0006146049673483403-19.3466335932012150.146949089590192462.407945608651871-21.565901703732795
0.299103181904918140.70059736930686060.00021728639377481768-19.351255139380110.146810810953042962.407945608651871-21.700627223826217
0.29938695629231740.70026449937833380.0018053285690213389-19.349673616849550.146810492257672152.407945608651871-21.458655379067316
0.30006282800348530.70004146594998550.0004434176073459435-19.3465164022310140.147048205583949242.407945608651871-21.58024023448821
0.30033347687915580.6998906354294233-0.0004049030066030627-19.3505063904636680.147117423084537542.407945608651871-21.496338465017764
0.30015739511380240.7002944190462884-0.00012612145311063542-19.349825096258640.147200870499787172.407945608651871-21.464644257383704
0.300044522513596530.6999832746367084-0.0005217918408982041-19.349476931741160.14701479042049632.407945608651871-21.440359662700722
0.300074296535177860.7002710908530567-0.0011037711338269807-19.3436350634361920.147150313710611772.407945608651871-22.026422785647846
0.29993989235446550.7001684869082146-0.0007902366707532916-19.346448756510780.14704130609149152.407945608651871-21.549048742611863
0.29929387145844530.7000027603370182-0.0007619545822361763-19.3480106162563530.146655153629652482.407945608651871-21.494930026411083
0.300261781736277660.7001285087656367-0.00012495197405987198-19.3480023999803020.147182298788764432.407945608651871-21.423790415786367
0.29960335990065130.70003452196950080.0001527753271882929-19.351821795933150.14682012676565032.407945608651871-21.63541952963154
0.29986733126884570.70017467160709760.001670717014892853-19.348987820899710.147008331102874032.407945608651871-21.428318241616527
0.29954043736548040.6998860203633641-0.0027022881284254406-19.3508525847548540.14672702008623022.407945608651871-21.456374434283326
0.29977593784155690.70013558157819590.0015927014030337806-19.349704209736810.14694711678561422.407945608651871-21.46561144969221
0.300563215741725340.69968607593064440.00047535037646815237-19.3526161219769830.147143909694547832.407945608651871-21.744395707618335
0.300238058677582350.70003690115369774.1911137030413735e-05-19.3485358302533650.147132159943896862.407945608651871-21.434988949023793
0.300291661934108830.70032513034512110.001134344508618633-19.346597232456550.147279633595821522.407945608651871-21.417367182362923
0.299780263759976130.7000462373563102-0.00022073870685040964-19.3475141425839650.14691173534890482.407945608651871-21.494069210199452
" ], "text/plain": [ @@ -369,16 +379,16 @@ "cosmological_parameters--omega_m cosmological_parameters--h0 cosmological_parameters--omega_k ... prior post \n", " float64 float64 float64 ... float64 float64 \n", "-------------------------------- --------------------------- -------------------------------- ... ----------------- -------------------\n", - " 0.2996573205208153 0.6999642865975902 0.0006718507890093649 ... 2.407945608651871 -21.630752785736775\n", - " 0.29980697513563803 0.7001040396277975 -0.0006146049673483403 ... 2.407945608651871 -21.565901703732795\n", - " 0.29910318190491814 0.7005973693068606 0.00021728639377481768 ... 2.407945608651871 -21.700627223826217\n", - " 0.2993869562923174 0.7002644993783338 0.0018053285690213389 ... 2.407945608651871 -21.458655379067316\n", - " 0.3000628280034853 0.7000414659499855 0.0004434176073459435 ... 2.407945608651871 -21.58024023448821\n", - " 0.3003334768791558 0.6998906354294233 -0.0004049030066030627 ... 2.407945608651871 -21.496338465017764\n", - " 0.3001573951138024 0.7002944190462884 -0.00012612145311063542 ... 2.407945608651871 -21.464644257383704\n", - " 0.30004452251359653 0.6999832746367084 -0.0005217918408982041 ... 2.407945608651871 -21.440359662700722\n", - " 0.30007429653517786 0.7002710908530567 -0.0011037711338269807 ... 2.407945608651871 -22.026422785647846\n", - " 0.2999398923544655 0.7001684869082146 -0.0007902366707532916 ... 2.407945608651871 -21.549048742611863" + " 0.2992938714584453 0.7000027603370182 -0.0007619545822361763 ... 2.407945608651871 -21.494930026411083\n", + " 0.30026178173627766 0.7001285087656367 -0.00012495197405987198 ... 2.407945608651871 -21.423790415786367\n", + " 0.2996033599006513 0.7000345219695008 0.0001527753271882929 ... 2.407945608651871 -21.63541952963154\n", + " 0.2998673312688457 0.7001746716070976 0.001670717014892853 ... 2.407945608651871 -21.428318241616527\n", + " 0.2995404373654804 0.6998860203633641 -0.0027022881284254406 ... 2.407945608651871 -21.456374434283326\n", + " 0.2997759378415569 0.7001355815781959 0.0015927014030337806 ... 2.407945608651871 -21.46561144969221\n", + " 0.30056321574172534 0.6996860759306444 0.00047535037646815237 ... 2.407945608651871 -21.744395707618335\n", + " 0.30023805867758235 0.7000369011536977 4.1911137030413735e-05 ... 2.407945608651871 -21.434988949023793\n", + " 0.30029166193410883 0.7003251303451211 0.001134344508618633 ... 2.407945608651871 -21.417367182362923\n", + " 0.29978026375997613 0.7000462373563102 -0.00022073870685040964 ... 2.407945608651871 -21.494069210199452" ] }, "execution_count": 5, @@ -415,7 +425,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -424,7 +434,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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" ] @@ -482,6 +492,9 @@ "tags": [] }, "source": [ + "---\n", + "\n", + "\n", "# Customizing runs" ] }, @@ -525,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "4821f7cb", "metadata": {}, "outputs": [ @@ -533,12 +546,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "[cosmological_parameters]\n", - "omega_m = 0.15 0.3 0.4\n", - "h0 = 0.6 0.7 0.8\n", - "w = -1.0\n", - "omega_b = 0.04\n", - "omega_k = -0.3 0.0 0.3\n" + "[cosmological_parameters]\r\n", + "omega_m = 0.15 0.3 0.4\r\n", + "h0 = 0.6 0.7 0.8\r\n", + "w = -1.0\r\n", + "omega_b = 0.04\r\n", + "omega_k = -0.3 0.0 0.3\r\n" ] } ], @@ -574,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "id": "61877ed7", "metadata": {}, "outputs": [], @@ -592,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "id": "45c7ff7b", "metadata": {}, "outputs": [ @@ -650,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "id": "43c2f66f", "metadata": {}, "outputs": [], @@ -662,32 +675,36 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 12, "id": "cdeb48d8", "metadata": { "scrolled": true }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n", - "Setup all pipeline modules\n", - "\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "Setting up pipeline from pre-constructed configuration\n", "------------------------------------------------------\n", - "Setting up pipeline from pre-constructed configuration\n", + "\n", + "Setting up module consistency\n", + "------------------------------\n", + "\n", + "Setting up module astropy\n", + "--------------------------\n", + "\n", + "Setting up module pantheon\n", + "---------------------------\n", "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "\n", + "Setting up module riess21\n", + "--------------------------\n", "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "Setup all pipeline modules\n", + "\n", "\n", "Parameter Priors\n", "----------------\n", @@ -707,15 +724,9 @@ "****************************************************\n", "Using likelihooods from first run:\n", " - pantheon\n", - " - riess21\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Total posterior evaluations = 32900 across all processes\n", - "Successful posterior evaluations = 32900 across all processes\n" + " - riess21\n", + "Total posterior evaluations = 43400 across all processes\n", + "Successful posterior evaluations = 43400 across all processes\n" ] } ], @@ -741,7 +752,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", + "
\n", " name dtype \n", "-------------------------------- -------\n", "cosmological_parameters--omega_m float64\n", @@ -776,7 +787,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -785,7 +796,7 @@ }, { "data": { - "image/png": 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9b+tPpK8bw26jQNJ2l9Sw06VJvl/pC+WE3dYYp9nx+XYDHGNHegeCBYCYdKK+WU1ft0kOadXMYjXlFIXdVnJNprTNfju59X9Rn42N0vS1Uk74dxu++vzP6r9jrn5767k268mRNoZ9uCR/GEhO9AcUu8GLsSO9A8ECQMwrGJAu5WWG30BCupl2vnD5/8wplPKKw26m/zd/GqvHhvysFK2ZNUbaaC94MXak9yBYAABOKzfdH1BsBx30CgQLAOipag517/EG20uu8Q9KdXqHSSKcxDOCBQD0NKnZkjNVenGO/bacqf72urmeU4NS27amSPfuk7Lc9mpCj0WwAICeJsstzX1Xajhuv63UbPsf4gbqKT/m1ZNbtmuVnva3Q7CIWwQLAOiJstw968PXZj1NVp3KrTJz9aDHYhEyAABgDMECAAAYE/JXIVVVVXrooYf0yiuvqLGxUYWFhVq3bp3GjBkTifoAAHGGGTzjW0jB4sSJE5owYYKuvPJKvfLKK8rNzdWnn36qrKysCJUHAIgHzODZe4QULB5//HG53W6tX78+sO3ss882XRMAIM4wg2fvEVKwePnllzVlyhTdfPPN2r17t/Lz83XPPfdozpzOn232+Xzy+XyB1x6PJ/xqAQAxixk8e4eQBm/+9a9/1Zo1a/S9731Pr776qu6++27NmzdPv/3tbzs9prS0VJmZmYEft7sHPT4FAACMCilYtLW16cILL9SyZct0wQUX6K677tKcOXO0Zs2aTo8pKSlRXV1d4KeystJ20QAAoGcK6auQQYMG6bzzzgvaNnLkSL3wwgudHuNyueRy2V9hD0D8qKptVOMxrwoU/hMC5dVe84UhOlhzJK6FFCwmTJigTz75JGjboUOHNHToUKNFAYhfVbWNmrRit875ulzbXfaeEBjjZCqemMKaI71CSMHin//5n3XppZdq2bJluuWWW/Tuu+/q2Wef1bPPPhup+gDEmRP1zWpsadUDU4ZLu+09IZBbnyNtNFwgIoc1R3qFkILFxRdfrG3btqmkpESPPPKIhg0bppUrV+r222+PVH0A4pS7v/9RQVtPCHzB16wxhzVH4l7IM29ef/31uv766yNRCwAAiHF8QQkAAIwhWAAAAGMIFgAAwJiQx1gAANAj2JgPQ5L/8VeeKjGOYAEAiCknrL5qS0xRHxvzYUjyz6kx913ChWEECwBATPlCOTp88x81vG9z+I3UHPJP1MVcGMYRLAAAMaclPZ8VUnsoBm8CAABjCBYAAMAYggUAADCGMRYAuozlzgGcCcECQJeYXO48xelQRorTcIUAegKCBYAuMbnceb+0JOU2fGK4QgPsTrhk93ggDhAsAITEyHLnktRgqCATUrP9kyXZnXBJ8reTmm2/HSBGESyA3qS20j8hUBiSa7walVAhV2264aJ6gCy3fwbGMPsmCNNEo5cjWAC9RW2ltHqs1BLerYICSdtdkv5b8flf5VluAkEMsTsIOLnGPwgZ5hEsgN6i4bg/VExfK+UUhnx4+TGv5m8u06qZxSoYOtTch7CdcQmMaeh1+qUlKcXp0IItZbbaGZVQoe0uqdrrU66Z0vANggXQ2+QUSnnFIR/WZNXpoFXnH7CZZWAqZVPjGuLx7gk6lZ+Vol33T9SJehvrhEg6dihJ2i15GlsIFoYRLAB0D1PjGhjT0OvkZ6UoPyvFVhvlNfaOR+cIFgC6D+MagLjDlN4AAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAGIIFAAAwhmABAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGNCChZLlixRQkJC0M/AgQMjVRsAAIgxiaEeMGrUKO3atSvw2uFwGC0IAADErpCDRWJiIncpAABAh0IOFocPH1ZeXp5cLpfGjRunZcuW6Zxzzul0f5/PJ5/PF3jt8XjCqxQAAMMqv2pUU1WdrTb6pSUpPyvFUEWxL6RgMW7cOP32t79VYWGhvvzySz322GO69NJLdfDgQWVnZ3d4TGlpqZYuXWqkWAAATMhIcUqS/nXnJzr4arOttlKcDu26fyLh4hshBYtp06YF/l5UVKTx48fr3HPP1XPPPaeFCxd2eExJSUnQex6PR263O8xyAQCwLzfdJUlaNbNYTTlFYbdTXu3Vgi1lOlHfTLD4RshfhXxbWlqaioqKdPjw4U73cblccrlcdk4DwKaq2kY1HvOqQFL5Ma+arNBv/ZZXe80XBnSzggHpUl5md5cRV2wFC5/Pp48//liXXXaZqXoAGFZV26hJK3brnK/Ltd0lzd9cpoNhBAvJf8u3X1qS4QoBxJOQgsUDDzygG264QUOGDFF1dbUee+wxeTwezZ49O1L1AbDpRH2zGlta9cCU4dJue7d+GaQG4ExCChb/93//p1tvvVU1NTUaMGCALrnkEu3du1dDhw6NVH0ADHH39wcCbv0CiKSQgsXmzZsjVQcAAIgDrBUCAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAY2ytbgogSmorpYbjYR2aXOPVqIQKuWrTDRcFxIGaQ7YOT67xKk81hoqJDwQLoKerrZRWj5VaGsI6vEDSdpek/5bkTJVSs01WB8Sm1Gz//x5enGOrmQJJu1wuVXovlsTifhLBAuj5Go77Q8X0tVJOYciHlx/zav7mMq2aWayCoUOlLHcEigRiTJZbmvtu2HcCT6k8XCb3f8+Xo+krQ4XFPoIFECtyCqW84pAPa7LqdNCqU1NOkZTFf1EBAVlu20Hbd8xrqJj4weBNAABgDMECAAAYQ7AAAADGECwAAIAxDN4EAKAnsDFfTZDU7G59+otgAQBAd7M5X00QZ6r/UdpuChcECwAAupvN+WoCag75J/1qOE6wAACg1wtzvpqehMGbAADAGIIFAAAwhmABAACMIVgAAABjGLwJAIBNlV81qqmqLuzjk2u8KjBYT3ciWAAAEKaMFKck6V93fqKDrzaH3c6ohAptd0nVXp9yTRXXTQgWAACEKTfdJUlaNbNYTTlFYbdz7FCStFvyNLYQLAAA6O0KBqRLeZlhH19ek2Kwmu7F4E0AAGAMwQIAABhDsAAAAMYQLAAAgDEM3gQMq6pt1In68B87+7Z+aUnKN9ISAESHrWBRWlqqhx9+WPPnz9fKlSsNlQTErqraRk1asVuNLa1G2ktxOvTv17k0RlL5Ma+arNAn4Cmv9hqpBQC6IuxgsW/fPj377LM6//zzTdYDxLQT9c1qbGnVyhnFKshNt9XW8fpm3f38fv1/fzio7S5p/uYyHQwjWEj+gNIvLclWPQDQFWEFC6/Xq9tvv11r167VY489ZromIOYV5KZrdH74z7Sfsuv+iWr8LF3aZm8Cnn5pScrPip/n5AH0XGEFi7lz5+q6667TpEmTzhgsfD6ffD5f4LXH4wnnlECvlJ+VIjX473zYnYAHAKIh5GCxefNmvf/++9q3b1+X9i8tLdXSpUtDLgwAAMSekIJFZWWl5s+fr507dyo5OblLx5SUlGjhwoWB1x6PR263O7QqgVhVWyk1HLfXRs0hM7UAQBSEFCz279+v6upqjRkzJrCttbVVb775pp566in5fD45HI6gY1wul1wul5lqgVhSWymtHiu1NNhvy5kqpWbbbwcAIiykYHH11Vfrww8/DNp25513asSIEXrooYfahQqgV2s47g8V09dKOYX22krNlrK40weg5wspWPTt21ejR48O2paWlqbs7Ox22wF8I6dQyivu7ioAICqY0hsAABhje0rvN954w0AZAAAgHnDHAgAAGEOwAAAAxhAsAACAMQQLAABgDMECAAAYQ7AAAADGECwAAIAxBAsAAGAMwQIAABhDsAAAAMYQLAAAgDEECwAAYAzBAgAAGEOwAAAAxhAsAACAMYndXQAAAPCr/KpRTVV1YR+fXONVgcF6wkGwAACgm2WkOCVJ/7rzEx18tTnsdkYlVGi7S6r2+pRrqrgQESwAAOhmuekuSdKqmcVqyikKu51jh5Kk3ZKnsYVgAQBAb1cwIF3Kywz7+PKaFIPVhIfBmwAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAGIIFAAAwhmABAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAmJCCxZo1a3T++ecrIyNDGRkZGj9+vF555ZVI1QYAAGJMYig7Dx48WMuXL1dBQYEk6bnnntMPf/hDHThwQKNGjYpIgUC0VNU26kR9s602yqu9hqoBgNgUUrC44YYbgl7/y7/8i9asWaO9e/cSLBDTqmobNWnFbjW2tNpuK8XpUL+0JKnBQGEAEGNCChbf1traqq1bt6q+vl7jx4/vdD+fzyefzxd47fF4wj0lEDEn6pvV2NKqlTOKVZCbbqutfmlJys9KIVgA6JVCDhYffvihxo8fr6amJqWnp2vbtm0677zzOt2/tLRUS5cutVUkEC0FuekanZ/Z3WUAQMwK+amQ4cOHq6ysTHv37tU//dM/afbs2froo4863b+kpER1dXWBn8rKSlsFAwCAnivkOxZJSUmBwZsXXXSR9u3bp1WrVumZZ57pcH+XyyWXy2WvSgAAEBNsz2NhWVbQGAoAANB7hXTH4uGHH9a0adPkdrt18uRJbd68WW+88YZ27NgRqfoAAEAMCSlYfPnll5o1a5aOHDmizMxMnX/++dqxY4euueaaSNUHAABiSEjBYt26dZGqAwAAxAHWCgEAAMaEPUEWAAD4Rs2h7j2+ByFYAAAQrtRsyZkqvTjHflvOVH97MY5gAQBAuLLc0tx3pYbj9ttKzfa3F+MIFgAA2JHljotAYAqDNwEAgDEECwAAYAzBAgAAGEOwAAAAxhAsAACAMQQLAABgDMECAAAYQ7AAAADGECwAAIAxzLwJdKS20v4UvXG0qBAAdBXBAviu2kpp9VippcF+W3GyqBAAdBXBAviuhuP+UDF9rZRTaK+tOFlUCAC6imABdCanUMor7u4qACCmMHgTAAAYQ7AAAADGECwAAIAxBAsAAGAMgzfRM5iYN0LiKQwA6GYEC3Q/0/NGzH2XcAEA3YRgge5nat6ImkPSi3Okz98J+e5Hco1XoxIqlFyTKSV8EX4NANDLESzQc9idNyI123/H4sU5IR9aIGm7S9K2bzYwYyYAhIVggfiR5fZ/DRLGWI3yY17N31ymVTOLVTAgnbEaABAmggW6TVVto07UNyu5xqsC+T/cm6y6kNvpl5ak/KwU/4ssd1iBoMmq00GrTk05RVJeZsjHAwD8CBboFlW1jZq0YrcaW1o1KqFC213S/M1lOhhGsEhxOvT/Zo1RdlpS2PWUV3vDPhYA8HcEC3SLE/XNamxp1coZxRrdJ1PaJq2aWey/YxCC4/XNuvv5/Zr9b+/arinF6VA/G+EEAECwQDcryE1XQUK6/+8D0sP6GmLX/RN1or7Zdi1BX6kAAMJCsEDMy89KIRAAQA/BlN4AAMAYggUAADCGYAEAAIwJKViUlpbq4osvVt++fZWbm6sbb7xRn3zySaRqAwAAMSakYLF7927NnTtXe/fu1Wuvvaavv/5akydPVn19faTqAwAAMSSkp0J27NgR9Hr9+vXKzc3V/v37dfnllxstDAAAxB5bj5vW1flnSezfv3+n+/h8Pvl8vsBrj8dj55QAAKAHC3vwpmVZWrhwof7hH/5Bo0eP7nS/0tJSZWZmBn7cbhZ2AgAgXoUdLO6991598MEH2rRp02n3KykpUV1dXeCnsrIy3FMCAIAeLqyvQu677z69/PLLevPNNzV48ODT7utyueRyucIqDgAAxJaQgoVlWbrvvvu0bds2vfHGGxo2bFik6gIAADEopGAxd+5cbdy4UX/4wx/Ut29fHT16VJKUmZmplBTWagAAoLcLaYzFmjVrVFdXpyuuuEKDBg0K/GzZsiVS9QEAgBgS8lchAAAAnWGtEAAAYIytCbIASVJtpdRwPKRDkmu8GpVQoeSaTCnhiwgVBgCINoIF7KmtlFaPlVoaQjqsQNJ2l6Rt32xwpkqp2aarAwBEGcEC9jQc94eK6WulnMIuH1Z+zKv5m8u0amaxCgak+0NFFrOyAkCsI1jAjJxCKa+4y7s3WXU6aNWpKadIysuMXF0AgKhi8CYAADCGYAEAAIwhWAAAAGMYY4GQVdU26kR9syT/Y6MF8g/GbLLqutxGebU3QtUBALoTwQIhqapt1KQVu9XY0ipJGpVQoe0uaf7mMh0MIVhIUorToX5pSZEoEwDQTQgWCMmJ+mY1trRq5YxiFeSm+ye42iatmlnsf8IjBP3SkpSfxeJ1ABBPCBYIS0FuukbnZ0oJ6f7XA9J5bBQAwOBNAABgDsECAAAYQ7AAAADGECwAAIAxBAsAAGAMwQIAABjD46a9yLdnzAwXM2YCAE6HYNFLfHfGTDuYMRMA0BmCRS/x3Rkz7WDGTABAZwgWvUxgxkwAACKAwZsAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjGEei96stlJqOG6vjZpDZmoBAMQFgkVvVVsprR4rtTTYb8uZKqVm228HABDzCBa9VcNxf6iYvlbKKbTXVmq2lOU2UxcAIKYRLHq7nEIpr7i7qwAAxAkGbwIAAGMIFgAAwBiCBQAAMCbkYPHmm2/qhhtuUF5enhISEvTSSy9FoCwAABCLQg4W9fX1+v73v6+nnnoqEvUAAIAYFvJTIdOmTdO0adMiUQsAAIhxEX/c1OfzyefzBV57PJ5InzLuVNU26kR9s602yqu9hqoBAKBzEQ8WpaWlWrp0aaRPE7eqahs1acVuNba02m4rxelQv7QkA1UBANCxiAeLkpISLVy4MPDa4/HI7WaWxq46Ud+sxpZWrZxRrILcdFtt9UtLUn5WiqHKAABoL+LBwuVyyeVyRfo0ca8gN12j8zO7uwwAAE6LeSwAAIAxId+x8Hq9Ki8vD7yuqKhQWVmZ+vfvryFDhhgtDgAAxJaQg8V7772nK6+8MvD61PiJ2bNna8OGDcYKAwAAsSfkYHHFFVfIsqxI1IKuqq30L3tuR80hM7UAAPAtLJsea2orpdVjpZYG+205U6XUbPvtAADwDYJFrGk47g8V09dKOYX22krNlrJ49BcAYA7BIlblFEp5xd1dBQAAQXjcFAAAGEOwAAAAxhAsAACAMQQLAABgDMECAAAYQ7AAAADGECwAAIAxBAsAAGAME2RFUFVto07UN9tqo7zaa6gaAAAij2ARIVW1jZq0YrcaW1ptt5XidKhfWpKBqgAAiCyCRYScqG9WY0urVs4oVkFuuq22+qUlKT8rxVBlAABEDsEiwgpy0zU6P7O7ywAAICoIFtFUW+lfndSOmkNmagEAIAIIFtFSWymtHutf8twuZ6p/yXMAAHoYgkW0NBz3h4rpa/1LntuRmi1luc3UBQCAQQSLaMsplPKKu7sKAAAiggmyAACAMdyx6IowBl0m13g1KqFCyTWZUkI6gy4BAL0CweJMwhx0WSBpu0vStm9tZNAlACDOESzOJMxBl+XHvJq/uUyrZharYMA3E2Qx6BIAEOcIFl0V4qDLJqtOB606NeUUSXlMkAUA6B0IFh349uJhyTVeFch/B6LJqutyGyweBgDojQgW3/HdxcNGJVRou0uav7lMB0MIFhKLhwEAeh+CxXd8d/Gw5JpMaZu0amax/2uNELB4GACgtyFYdCKweFiCf+BlwYB0xkoAAHAGTJAFAACMIVgAAABjCBYAAMCYuBpj8e3HRMPFY6IAAIQvboLFdx8TtYPHRAEACE/cBIvvPiYqSU5vlRxNX4XcVkaKU7kNn0gNYvEwAABCEDfB4pTAY6K1ldKGq0NePKxDLB4GAECXhBUsnn76af3qV7/SkSNHNGrUKK1cuVKXXXaZ6drsCXPxsA6xeBgAAF0ScrDYsmWLFixYoKeffloTJkzQM888o2nTpumjjz7SkCFDIlGjPSEuHgYAAMIX8uOmv/71r/WTn/xEP/3pTzVy5EitXLlSbrdba9asiUR9AAAghoR0x6K5uVn79+/XokWLgrZPnjxZe/bs6fAYn88nn88XeF1X51/Iy+PxhFrraXlPetTma5D3pEceT4J00iv5LP+fhs8FAEBPdNJbL4/P8v9p+LPvVHuWZZ12v5CCRU1NjVpbW3XWWWcFbT/rrLN09OjRDo8pLS3V0qVL2213uyMzZmH8yu9sWN7Dxn4AABBpy6dGrOmTJ08qM7PztbPCGryZkJAQ9NqyrHbbTikpKdHChQsDr9va2vTVV18pOzu702PC4fF45Ha7VVlZqYyMDGPtIhj9HD30dXTQz9FBP0dHJPvZsiydPHlSeXl5p90vpGCRk5Mjh8PR7u5EdXV1u7sYp7hcLrlcrqBtWVlZoZw2JBkZGVy0UUA/Rw99HR30c3TQz9ERqX4+3Z2KU0IavJmUlKQxY8botddeC9r+2muv6dJLLw2tOgAAEHdC/ipk4cKFmjVrli666CKNHz9ezz77rD7//HPdfffdkagPAADEkJCDxYwZM3T8+HE98sgjOnLkiEaPHq3/+q//0tChQyNRX5e5XC4tXry43dcuMIt+jh76Ojro5+ign6OjJ/RzgnWm50YAAAC6KOQJsgAAADpDsAAAAMYQLAAAgDEECwAAYEyPDhZPP/20hg0bpuTkZI0ZM0ZvvfVWp/seOXJEt912m4YPH64+ffpowYIF7fbZsGGDEhIS2v00NTVF8Lfo+ULp5xdffFHXXHONBgwYoIyMDI0fP16vvvpqu/1eeOEFnXfeeXK5XDrvvPO0bdu2SP4KMcF0P3M9dyyUfv7Tn/6kCRMmKDs7WykpKRoxYoSeeOKJdvtxPbdnup+5njsWSj9/29tvv63ExEQVFxe3ey/i17PVQ23evNlyOp3W2rVrrY8++siaP3++lZaWZn322Wcd7l9RUWHNmzfPeu6556zi4mJr/vz57fZZv369lZGRYR05ciTopzcLtZ/nz59vPf7449a7775rHTp0yCopKbGcTqf1/vvvB/bZs2eP5XA4rGXLllkff/yxtWzZMisxMdHau3dvtH6tHicS/cz13F6o/fz+++9bGzdutP785z9bFRUV1vPPP2+lpqZazzzzTGAfruf2ItHPXM/thdrPp9TW1lrnnHOONXnyZOv73/9+0HvRuJ57bLAYO3asdffddwdtGzFihLVo0aIzHjtx4sROg0VmZqahCuODnX4+5bzzzrOWLl0aeH3LLbdYU6dODdpnypQp1syZM+0VG8Mi0c9cz+2Z6OebbrrJ+tGPfhR4zfXcXiT6meu5vXD7ecaMGdYvfvELa/Hixe2CRTSu5x75Vcip5dknT54ctP10y7N3ldfr1dChQzV48GBdf/31OnDggK32YpmJfm5ra9PJkyfVv3//wLZ33nmnXZtTpkyx/W8XqyLVzxLX87eZ6OcDBw5oz549mjhxYmAb13OwSPWzxPX8beH28/r16/Xpp59q8eLFHb4fjeu5RwaLcJZn74oRI0Zow4YNevnll7Vp0yYlJydrwoQJOnz4sN2SY5KJfl6xYoXq6+t1yy23BLYdPXrU+L9dLItUP3M9B7PTz4MHD5bL5dJFF12kuXPn6qc//WngPa7nYJHqZ67nYOH08+HDh7Vo0SL97ne/U2JixxNrR+N6DmvZ9GgJZXn2rrjkkkt0ySWXBF5PmDBBF154oZ588kn95je/CbvdWBduP2/atElLlizRH/7wB+Xm5hppM56Z7meu546F089vvfWWvF6v9u7dq0WLFqmgoEC33nqrrTbjnel+5nruWFf7ubW1VbfddpuWLl2qwsJCI22Gq0cGi3CWZw9Hnz59dPHFF/faRGynn7ds2aKf/OQn2rp1qyZNmhT03sCBAyP+bxdLItXP38X1HH4/Dxs2TJJUVFSkL7/8UkuWLAl84HE9B4tUP38X13No/Xzy5Em99957OnDggO69915J/q9QLctSYmKidu7cqauuuioq13OP/CokWsuzW5alsrIyDRo0yFibsSTcft60aZPuuOMObdy4Udddd12798ePH9+uzZ07dxr9t4slkern7+J6NvP/G5ZlyefzBV5zPQeLVD939D7Xc9f7OSMjQx9++KHKysoCP3fffbeGDx+usrIyjRs3TlKUrmdjw0ANO/WYzbp166yPPvrIWrBggZWWlmb97W9/syzLshYtWmTNmjUr6JgDBw5YBw4csMaMGWPddttt1oEDB6yDBw8G3l+yZIm1Y8cO69NPP7UOHDhg3XnnnVZiYqL1P//zP1H93XqSUPt548aNVmJiorV69eqgR8Jqa2sD+7z99tuWw+Gwli9fbn388cfW8uXLeTwvAv3M9dxeqP381FNPWS+//LJ16NAh69ChQ9a//du/WRkZGdbPf/7zwD5cz+1Fop+5ntsL53Pw2zp6KiQa13OPDRaWZVmrV6+2hg4daiUlJVkXXnihtXv37sB7s2fPtiZOnBi0v6R2P0OHDg28v2DBAmvIkCFWUlKSNWDAAGvy5MnWnj17ovTb9Fyh9PPEiRM77OfZs2cHtbl161Zr+PDhltPptEaMGGG98MILUfptei7T/cz13LFQ+vk3v/mNNWrUKCs1NdXKyMiwLrjgAuvpp5+2Wltbg9rkem7PdD9zPXcs1M/Bb+soWFhW5K9nlk0HAADG9MgxFgAAIDYRLAAAgDEECwAAYAzBAgAAGEOwAAAAxhAsAACAMQQLAABgDMECAAAYQ7AAAADGECwAAIAxBAsAAGAMwQIAABjz/wNpqyx0CKcFAwAAAABJRU5ErkJggg==", + "image/png": 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1ltDLGIEHAACMIVgAAABjAg4WNTU1uv3225WRkaHExEQVFhZqz5494agNAABEmYDGWNTX12vixIm66qqr9Oqrryo7O1sfffSR0tLSwlQeAACIJgEFi0cffVR5eXkqLS31bjvrrLNM1wQAAKJUQJdCtm7dqgsvvFA333yzsrOzdf7552vdunUnfY/b7VZTU5PPAwAA9E8BBYu///3vWrt2rc455xz9/ve/1z333KMFCxbo17/+dY/vKSkpUWpqqveRl8dtTwAA9FcBBYvOzk5dcMEFWrFihc4//3zdfffdmjdvntauXdvje4qLi9XY2Oh9VFdXh1w0AACITAEFizPPPFNjxozx2Xbuuefq008/7fE9DodDKSkpPg8AANA/BTR4c+LEifrwww99th04cEDDhg0zWhQAoH+qPOIKuY30pDiWcY9gAQWLf/u3f9Nll12mFStW6JZbbtE777yjZ599Vs8++2y46gMQqRqqQ1+DQmLVzAEiPSlOCfYYLdxYEXJbCfYY7Vg8iXARoQIKFhdddJHKy8tVXFysRx55RMOHD9fq1at12223has+AJGooVp6+mKp/XjobbFq5oCQm5agHYsnqb65LaR2Ko+4tHBjheqb2wgWESrgRciuv/56XX/99eGoBUC0OH7UEypuWidljgy+HVbNHFBy0xIIAwMAq5sCCF7mSCmnsK+rABBBCBYAgKjDINDIRbAAAEQNBoFGPoIFACBqMAg08hEsAPS6moYW1Te3Kb7OJaekylqXWq3GgNowcSoc0YlBoJGNYAGgV9U0tGjyqp1qae9Qvq1K2xxSUVmF9gcYLCTPqez0pLgwVAkgWAQLIFr0kwmp6pvb1NLeodUzCzV2UKpULq2ZVajWzIKA22LwHRB5CBZANOiHE1I5s5PltCV7/p2VLOWk9mk9AMwgWADRgAmpAEQJggUQTZiQCkCEI1gA8Bt3cwA4FYIFAL+E5W4OA0NGAEQWggUAv4Tlbg6CBdDvECwABIS7OQawugOht9HHtzsj/AgWAICTS8zw3Ka8eV7obUXI7c4IH4IFAODk0vI8YSDUCdq43XlAIFgAAE4tLY8wAL8M6usCAABA/0GwAAAAxnApBBiIghjdH1/nUr6tSvF1qZLt8zAUBaA/IFgAA0kIo/udkrY5JJV/vcGe6GnPhFBvY+QWRiBiECyAgSSE0f2VtS4VlVVozaxCz/wVJr7MTd3GyC2MCJKJKea9E75BEsECGHiCHN3fajVqv9XomWnT1KRYJm5j5BZGBCE9KU4J9hgt3FgRclsJ9hjtWDyJcPE1ggWAvsVtjANPBMzgmZuWoB2LJ6m+uS2kMiqPuLRwY4Xqm9sIFl8jWAAAekeEzeCZm5ZAGAgDggUAoHcwg+eAQLAAAPQeLn31e0yQBQAAjCFYAAAAYwgWAADAGIIFAAAwhmABAACM4a4QAEB0ioCJttAVwQIAEF0ibKIt+CJYAACiCxNtRTSCBQAg+jDRVsRi8CYAADCGYAEAAIwhWAAAAGMCChZLly6VzWbzeQwePDhctQEAgCgT8ODN/Px87dixw/s8JibGaEEAEJRQ5zQwMScColMIv/v4OpdyVGewmOgXcLCIjY3lLAWAyGF6ToPEjNDbQXQwcOw4Je1wOFTtukhSqrHSolnAweLgwYPKycmRw+HQJZdcohUrVmjEiBHhqA0ATs3UnAYSszAONAaOneqDFcr7U5FiWr80WFh0CyhYXHLJJfr1r3+tkSNH6osvvtDPfvYzXXbZZdq/f78yMrpP+W63W2632/u8qakptIoB4NuY0wDBCvHYcde6DBbTPwQ0eHP69On653/+ZxUUFGjy5Mnatm2bJOn555/v8T0lJSVKTU31PvLy+D8/AAD9VUi3myYlJamgoEAHDx7scZ/i4mI1NjZ6H9XV1aF8JAAAiGAhTentdrv1wQcf6PLLL+9xH4fDIYfDEcrHAACAKBHQGYv7779fO3fuVFVVlf7617/q+9//vpqamjRnzpxw1QcAAKJIQGcsPvvsM916662qq6tTVlaWLr30Ur399tsaNmxYuOoDAABRJKBgUVZWFq46AIRRTUOL6pvbQmqj8gij3wGcGsumA/1cTUOLJq/aqZb2jpDbSrDHKD0pzkBVAPorggXQz9U3t6mlvUOrZxbKmZ0cUlvpSXHKTUswVBmA/ohgAQwQzuxkjc1lymEA4cWy6QAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAGIIFAAAwhmABAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAGIIFAAAwhmABAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIyJ7esCAACIdtVftqi1pjGkNtKT4pSblmCoor5DsAAAIEgpCXZJ0v/7w4fa//u2kNpKsMdox+JJUR8uCBZABKtpaFF9c5vi61xySqqsdanVCuyvosojrvAUB0DZyQ5J0ppZhWrNLAi6ncojLi3cWKH65jaCBYDwqGlo0eRVO9XS3qF8W5W2OaSisgrtDzBYSJ6/hNKT4sJQJQBJcmYlSzmpfV1GRCBYABGqvrlNLe0dWj2zUGMHpUrlwf9V1F+u3QKIfAQLIMI5s5PltCV7/s1fRQAiHLebAgAAYwgWAADAGIIFAAAwhjEW6J8aqqXjR0NvJzFDSssLvR0AGCAIFuh/Gqqlpy+W2o+H3pY9UZr/TujhIoigE1/nUr6tSvF1qZLt89A+HwB6CcEC/c/xo55QcdM6KXNk8O3UHZA2z/O0F0qwCDLoOCVtc0gq/3qDPdFzBgUAIhjBAv1X5kgpp7Cvqwg66FTWulRUVqE1swo9t5lyWQZAFCBYAL0lwKDTajVqv9XomRCLuSsARImQ7gopKSmRzWbTwoULDZUDAACiWdDBYvfu3Xr22Wc1btw4k/UAAIAoFlSwcLlcuu2227Ru3Tqlp6ebrgkAAESpoILF/Pnzdd1112ny5Mmn3NftdqupqcnnAQAA+qeAB2+WlZXpvffe0+7du/3av6SkRMuWLQu4MAAAEH0COmNRXV2toqIivfjii4qPj/frPcXFxWpsbPQ+qqurgyoUAABEvoDOWOzZs0dHjhzR+PHjvds6Ojr05ptv6qmnnpLb7VZMTIzPexwOhxwOh5lqAQBARAsoWHznO9/Rvn37fLbdeeedGj16tB544IEuoQIAAAwsAQWL0047TWPHjvXZlpSUpIyMjC7bAQDAwMOy6QAAwJiQp/R+4403DJQBAAD6A85YAAAAYwgWAADAGIIFAAAwhmABAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMCbktUIA+KppaFF9c5v3eXydS05JlbUutVqNfrdTecQVhuoAILwIFoBBNQ0tmrxqp1raO7zb8m1V2uaQisoqtD+AYCFJCfYYpSfFmS4TAMKGYAEYVN/cppb2Dq2eWShndrIkKb4uVSqX1swqVGtmQUDtpSfFKTctIRylAkBYECyAMHBmJ2tsbqrnic0TMJxZyVJOah9WBQDhx+BNAABgDMECAAAYQ7AAAADGECwAAIAxBAsAAGAMwQIAABhDsAAAAMYQLAAAgDEECwAAYAzBAgAAGEOwAAAAxhAsAACAMQQLAABgDMECAAAYQ7AAAADGECwAAIAxsX1dABApahpaVN/c5n0eX+eSU1JlrUutVqNfbVQecYWpOgADgYn/hqQnxSk3LcFANcEhWADyhIrJq3aqpb3Duy3fVqVtDqmorEL7/QwWkpRgj1F6Ulw4ygTQT6UnxSnBHqOFGytCbivBHqMdiyf1WbggWACS6pvb1NLeodUzC+XMTpYkxdelSuXSmlmFas0s8Lutvv5rAUD0yU1L0I7Fk3zOmgaj8ohLCzdWqL65jWABRAJndrLG5qZ6ntg8AcOZlSzlpPZhVQAGgty0hH7xRwmDNwEAgDEECwAAYAzBAgAAGEOwAAAAxhAsAACAMQEFi7Vr12rcuHFKSUlRSkqKJkyYoFdffTVctQEAgCgTULAYMmSIVq5cqXfffVfvvvuurr76an3ve9/T/v37w1UfAACIIgHNY3HDDTf4PP/5z3+utWvX6u2331Z+fr7RwgAAQPQJeoKsjo4Obdq0Sc3NzZowYUKP+7ndbrndbu/zpqamYD8SAABEuICDxb59+zRhwgS1trYqOTlZ5eXlGjNmTI/7l5SUaNmyZSEVCQBARKs7EHobiRlSWl7o7fSxgIPFqFGjVFFRoYaGBr3yyiuaM2eOdu7c2WO4KC4u1qJFi7zPm5qalJcX/R0HAIASMyR7orR5Xuht2ROl+e9EfbgIOFjExcXJ6XRKki688ELt3r1ba9as0S9/+ctu93c4HHI4HKFVCQBAJErL84SB40dDa6fugCecHD868ILFt1mW5TOGAgCAASUtL+rDgEkBBYuf/OQnmj59uvLy8nTs2DGVlZXpjTfe0Pbt28NVHwAAiCIBBYsvvvhCd9xxhw4dOqTU1FSNGzdO27dv1zXXXBOu+gAAQBQJKFg899xz4aoDAAD0A6wVAgAAjCFYAAAAYwgWAADAmJBvNwX6Wk1Di+qb27zP4+tcckqqrHWp1Wr0q43KI64wVQcAAwvBAlGtpqFFk1ftVEt7h3dbvq1K2xxSUVmF9vsZLCQpwR6j9KS4cJQJAAMGwQJRrb65TS3tHVo9s1DO7GRJUnxdqlQurZlVqNbMAr/bSk+KU25aQrhKBYABgWCBfsGZnayxuameJzZPwHBmJUs5qX1YFQAMPAQLSA3Voc9z309W5QMAhIZgMdA1VEtPXyy1Hw+tnX6yKh8AIDQEi4Hu+FFPqLhpnZQ5Mrg2+tGqfACA0BAs4JE5Usop7OsqAABRjmABnErdgb59PwBEEYIF0JPEDM/Ykc3zQm/LnuhpDwD6OYIF0JO0PM+A1FDvmJG4awaAf0I8wxlf51KO6gwVExyCBXAyaXkEAgDhZ+gMqVPSDodD1a6LJPXNPD4ECwAA+pqhM6TVByuU96cixbR+aaiwwBEsAACIBAbOkLpr+35BRZZNBwAAxnDGApElwOnF4+tcyrdVeRYe+3qNEG7vBIC+Q7BA5AhienGnpG0OSeXfeoHbOwGgTxAsEDmCmF68stalorIKrZlV6FnN9ARu7wSAPkGwQOQJYHrxVqtR+61GtWYWsEQ6AEQABm8CAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAGIIFAAAwhmABAACMIVgAAABjCBYAAMAYggUAADCGYAEAAIwhWAAAAGMIFgAAwJiAgkVJSYkuuuginXbaacrOztaNN96oDz/8MFy1AQCAKBNQsNi5c6fmz5+vt99+W6+99pq++uorTZkyRc3NzeGqDwAARJHYQHbevn27z/PS0lJlZ2drz549uuKKK4wWBgAAok9AweLbGhsbJUmnn356j/u43W653W7v86amplA+EgAARLCgB29alqVFixbpn/7pnzR27Nge9yspKVFqaqr3kZeXF+xHAgCACBd0sLj33nv1v//7v9qwYcNJ9ysuLlZjY6P3UV1dHexHAgCACBfUpZD77rtPW7du1ZtvvqkhQ4acdF+HwyGHwxFUcQAAILoEFCwsy9J9992n8vJyvfHGGxo+fHi46gIAAFEooGAxf/58vfzyy/rNb36j0047TYcPH5YkpaamKiEhISwFAgCA6BFQsFi7dq0k6corr/TZXlpaqrlz55qqCQNETUOL6pvbvM/j61xySqqsdanVavSrjcojrjBVBwAIRsCXQgATahpaNHnVTrW0d3i35duqtM0hFZVVaL+fwUKSEuwxSk+KC0eZAIAAhTSPBRCs+uY2tbR3aPXMQjmzkyVJ8XWpUrm0ZlahWjML/G4rPSlOuWlcigOASECwQJ9yZidrbG6q54nNEzCcWclSTmofVgUACBarmwIAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAYwgWAADAGIIFAAAwhnksYE7dAb93ja9zKd9W5ZkU6+v5KwJ5PwAgMhEsELrEDMmeKG2e5/dbnJK2OSSVf+sFe6KnPQBAVCJYIHRpedL8d6TjR/1+S2WtS0VlFVozq9Az0+YJiRme9gAAUYlggYB9e1VSj5SvH/6p7HRpv9XoWROE6bsBoN8gWCAg3a1KGixWJQWA/odggYB0typpsFiVFAD6H4IFguKzKikAAF9jHgsAAGAMwQIAABhDsAAAAMYQLAAAgDEECwAAYAzBAgAAGEOwAAAAxhAsAACAMQQLAABgDMECAAAYQ7AAAADGsFbIANLdcufxdS45JVXWutRqNZ6yjcojrjBVBwDoDwgWA0RPy53n26q0zSEVlVVovx/BQmK5cwBAzwgWA0RPy53H16VK5dKaWYVqzSzwqy2WOwcA9IRg0RcaqqXjR0NvJzFDSssL6C1dlju3eUKGMytZymEZdABAaAgWva2hWnr6Yqn9eOht2ROl+e8EHC4AAAgXgkVvO37UEypuWidljgy+nboD0uZ5nvYIFgCACEGw6CuZI6WcwtDbqTvg127xdS7l26o8Yyps/xhj4e/7AQDwB8EiWiVmeC6FbJ7n1+5OSdscksq7edGe6GkPAIAQESyiVVqeZ3yFn4NAK2tdKiqr0JpZhZ6Bmt8UxCBQAAC6Q7CIZml5fgeCVqtR+61Gzy2l3P0BAAgTpvQGAADGECwAAIAxAQeLN998UzfccINycnJks9m0ZcuWMJQFAACiUcDBorm5Weedd56eeuqpcNQDAACiWMCDN6dPn67p06eHoxYAABDlGGMBAACMCfvtpm63W2632/u8qakp3B8JAAD6SNjPWJSUlCg1NdX7yMtjIiYAAPqrsAeL4uJiNTY2eh/V1dXh/kgAANBHwn4pxOFwyOFwhPtjAABABAg4WLhcLlVWVnqfV1VVqaKiQqeffrqGDh1qtDgAABBdAg4W7777rq666irv80WLFkmS5syZo/Xr1xsrDAAARJ+Ag8WVV14py7LCUQsAAIhyzGMBAACMIVgAAABjCBYAAMAYggUAADAm7PNYIHQ1DS2qb24LqY3KIy5D1QAA0DOCRYSraWjR5FU71dLeEXJbCfYYpSfFGagKAIDuESwiXH1zm1raO7R6ZqGc2ckhtZWeFKfctARDlQEA0BXBIko4s5M1Nje1r8sAAOCkGLwJAACMIVgAAABjCBYAAMAYggUAADCGwZth1N38E/F1LjklVda61Go1nrIN5p8AAEQTgkWY9DT/RL6tStscUlFZhfb7ESwk5p8AAEQPgkWY9DT/RHxdqlQurZlVqNbMAr/aYv4JAEC0IFiEWZf5J2yekOHMSpZymJcCANC/MHgTAAAYQ7AAAADGECwAAIAxBAsAAGAMgzcD0VAtHT/q167xdS7l26o8d4HYvrEqad2BMBUHAEDfI1j4q6Faevpiqf24X7s7JW1zSCrv5kV7opSYYbI6AAAiAsHCX8ePekLFTeukzJGn3L2y1qWisgqtmVXoubX0mxIzpLS8MBUKAEDfIVgEKnOklFN4yt1arUbttxo9k2AxXwUAYIBg8CYAADCGYAEAAIwhWAAAAGMIFgAAwBiCBQAAMIZgAQAAjCFYAAAAY5jHohs1DS2qb27z2RZf55JTnomvWq3GU7ZRecQVpuoAAIhcAydY+LnOxxGXWwte2KPWrzp9tjttNVoTJxWVVWi/H8FCkhLsMUpPiguqXAAAotHACBYBrPORLemVGEkxXV/rjE3QY7derfbkXL8+Nj0pTrlpCYHVCgBAFBsYwSKAdT5OtsbHoMQMjWKNDwAAejQwgsUJfqzzwRofAAAEj7tCAACAMf3qjEV3d3NIgd3Rwd0cAAAEr98Ei5qGFk1etVMt7R1dXsu3VWmbw/87OribAwCA4PSbYFHf3KaW9g6tnlkoZ7bvoMv4ulSpXFozq9AzduIUuJsDAIDgBBUsnnnmGf3iF7/QoUOHlJ+fr9WrV+vyyy83XVtQnNnJGpv7rUGXNk/QcGYlMyATAIAwCnjw5saNG7Vw4UI9+OCD2rt3ry6//HJNnz5dn376aTjqAwAAUSTgYPHYY4/phz/8oe666y6de+65Wr16tfLy8rR27dpw1AcAAKJIQJdC2tratGfPHi1ZssRn+5QpU7Rr165u3+N2u+V2u73PGxs9gyebmpoCrfWkXMea1Ok+LtexJjU12XxfPOaS3Jbnfw1/LgAAkeKYq1lNbsvzv4a/7060Z1nWSfcLKFjU1dWpo6NDZ5xxhs/2M844Q4cPH+72PSUlJVq2bFmX7Xl54ZnBcsLqk7y4MjLGgQAAEFYrp4Wt6WPHjik1tefxikEN3rTZfM8IWJbVZdsJxcXFWrRokfd5Z2envvzyS2VkZPT4nmA0NTUpLy9P1dXVSklJMdYufNHPvYN+7j30de+gn3tHOPvZsiwdO3ZMOTk5J90voGCRmZmpmJiYLmcnjhw50uUsxgkOh0MOh8NnW1paWiAfG5CUlBQO2l5AP/cO+rn30Ne9g37uHeHq55OdqTghoMGbcXFxGj9+vF577TWf7a+99pouu+yywKoDAAD9TsCXQhYtWqQ77rhDF154oSZMmKBnn31Wn376qe65555w1AcAAKJIwMFi5syZOnr0qB555BEdOnRIY8eO1X/9139p2LBh4ajPbw6HQw8//HCXyy4wi37uHfRz76Gvewf93DsioZ9t1qnuGwEAAPATy6YDAABjCBYAAMAYggUAADCGYAEAAIyJ2GDxzDPPaPjw4YqPj9f48eP11ltv9bjvoUOHNHv2bI0aNUqDBg3SwoULu+yzfv162Wy2Lo/W1tYw/hTRIZC+3rx5s6655hplZWUpJSVFEyZM0O9///su+73yyisaM2aMHA6HxowZo/Ly8nD+CFHBdD9zTHcvkH7+85//rIkTJyojI0MJCQkaPXq0Hn/88S77cTx3ZbqfOZ67F0g/f9Nf/vIXxcbGqrCwsMtrYT+erQhUVlZm2e12a926ddbf/vY3q6ioyEpKSrI++eSTbvevqqqyFixYYD3//PNWYWGhVVRU1GWf0tJSKyUlxTp06JDPY6ALtK+LioqsRx991HrnnXesAwcOWMXFxZbdbrfee+897z67du2yYmJirBUrVlgffPCBtWLFCis2NtZ6++23e+vHijjh6GeO6a4C7ef33nvPevnll63333/fqqqqsl544QUrMTHR+uUvf+ndh+O5q3D0M8dzV4H28wkNDQ3WiBEjrClTpljnnXeez2u9cTxHZLC4+OKLrXvuucdn2+jRo60lS5ac8r2TJk3qMVikpqYaqrD/CKWvTxgzZoy1bNky7/NbbrnFmjZtms8+U6dOtWbNmhVasVEsHP3MMd2ViX6eMWOGdfvtt3ufczx3FY5+5njuKth+njlzpvXTn/7Uevjhh7sEi944niPuUsiJpdmnTJnis/1kS7P7y+VyadiwYRoyZIiuv/567d27N6T2op2Jvu7s7NSxY8d0+umne7f993//d5c2p06dGvLvL1qFq58ljulvMtHPe/fu1a5duzRp0iTvNo5nX+HqZ4nj+ZuC7efS0lJ99NFHevjhh7t9vTeO54gLFsEsze6P0aNHa/369dq6das2bNig+Ph4TZw4UQcPHgy15Khloq9XrVql5uZm3XLLLd5thw8fNv77i2bh6meOaV+h9POQIUPkcDh04YUXav78+brrrru8r3E8+wpXP3M8+wqmnw8ePKglS5bopZdeUmxs9xNr98bxHNSy6b0hkKXZ/XHppZfq0ksv9T6fOHGiLrjgAj355JN64okngm63Pwi2rzds2KClS5fqN7/5jbKzs4202Z+Z7meO6e4F089vvfWWXC6X3n77bS1ZskROp1O33nprSG32d6b7meO5e/72c0dHh2bPnq1ly5Zp5MiRRtoMVsQFi2CWZg/GoEGDdNFFFw3YNCyF1tcbN27UD3/4Q23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" ] @@ -885,26 +896,30 @@ "id": "e24811e0", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Deprecated: The [pipeline] quiet option is deprecated. Set [runtime] verbosity instead.\n", - "Setup all pipeline modules\n", - "\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "Setting up pipeline from pre-constructed configuration\n", "------------------------------------------------------\n", - "Setting up pipeline from pre-constructed configuration\n", + "\n", + "Setting up module consistency\n", + "------------------------------\n", + "\n", + "Setting up module astropy\n", + "--------------------------\n", + "\n", + "Setting up module pantheon\n", + "---------------------------\n", "Loading Pantheon data from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/lcparam_DS17f.txt\n", "Found 40 Pantheon supernovae (or bins if you used the binned data file)\n", "Loading Pantheon covariance from /Users/jzuntz/src/cosmosis/cosmosis-standard-library/likelihood/pantheon/sys_DS17f.txt\n", + "\n", + "Setting up module riess21\n", + "--------------------------\n", "Likelihood \"riess21\" will be Gaussian 0.732 +/- 0.013 \n", + "Setup all pipeline modules\n", + "\n", "\n", "Parameter Priors\n", "----------------\n", @@ -924,15 +939,9 @@ "****************************************************\n", "Using likelihooods from first run:\n", " - pantheon\n", - " - riess21\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Total posterior evaluations = 37600 across all processes\n", - "Successful posterior evaluations = 37600 across all processes\n" + " - riess21\n", + "Total posterior evaluations = 49400 across all processes\n", + "Successful posterior evaluations = 49400 across all processes\n" ] } ], @@ -957,7 +966,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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7LQBAhDrd1S4IL6t+D7bOUSkuLtaIESM0atQo/elPf1Jqaqr27dtn2216AQCRy+12S5IqKyvl9baOG8FFssrKSkn/93sJla1B5cknn5Tf79fq1auDy5xyy14AQGSJioqSz+dTYWGhJCkuLk4ul8vmrtoewzBUWVmpwsJC+Xw+RUVFmapna1B54403NHbsWF1//fXKzs5WWlqafvGLX2jKlDDelAcA0Gp06dJFkoJhBfbx+XzB34cZtgaVr776SsuXL9esWbP00EMPaceOHZo2bZo8Ho9uu+22RusHAgEFAoHg+7KysnC2CwBwOJfLpa5duyo1NVU1NTV2t9Nmud1u00dSTrE1qNTV1WnIkCFasGCBJOnCCy/UF198oeXLlzcZVLKysjR//vxwtwkAiDBRUVGW/aGEvWy96qdr167q379/g2X9+vXTN9980+T68+bNU2lpafBVUFAQjjYBAIBNbD2iMmLECP39739vsCwvL0/du3dvcn2PxyOPxxOO1gAAgAPYGlRmzpyp4cOHa8GCBbrhhhu0Y8cOrVixQitWrLCzLQBABMgvLDddIyk+Rmk+LmV2MluDykUXXaRNmzZp3rx5+s1vfqOePXtqyZIluuWWW+xsCwDgYEnxMfK6ozRjfa7pWl53lLbMziSsOJjtDyW8+uqrdfXVV9vdBgAgQqT5vNoyO1PFFdWm6uQXlmvG+lwVV1QTVBzM9qACAEBzpfm8hIs2wvZn/QAAAJwOR1QARLaSAqnyqKkSnpJ8i5pBJGJSrrMRVABErpICadlQqabSVBm/pErDo9rYjtb0hYjApNzIQFABELkqj9aHlAkrpZTeIZfJP1Ku29bu04r2aRY2B6djUm5kIKgAiHj5RjedMHqG/v26ch1UqYUdIVIwKdf5CCoAIlZheUCpkqavy9UXhrmg4XVHKSk+xprGAFiGoAIgYpVV1ShV0v1j+qhT76GmajEZEnAmggqAiOfv6FV6WqLdbQBoAQQVAEB4FeWZrxGXLPn85uvA8QgqAIDwiEuW3HHSxinma7njpKk7CCttAEEFgC0OlFSZviz0yLEqpVvUD8LA568PFyZv0KeivPqwU3mUoNIGEFQAhN2BkiqNfjpbVTW1puoMcO3XKI+U4HVb1BlanM9PuECzEFQAhF1xRbWqamq1ZGKG0lPbh1wntihR2iSltvdY2B0AJyGoALBNemp7DTRztY4r9JADIDLw9GQAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBY3EcFAAAL5BeWW1InKT5GaT6vJbVaA4IKAAAmJMXHyOuO0oz1uZbU87qjtGV2JmHlXwgqAACYkObzasvsTNMP2ZTqj8rMWJ+r4opqgsq/EFQA2KKbihRbtNvcbfCL8qxrCDAhzeclWLQQggqAsHOXH9AWzxzFbQpYUCxOiks2XweAIxFUAIRd1IljinMFVDBqqfy9MswVi0uWfH5L+gLgPAQVALYJ+NKlbhl2twHAwbiPCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCzuTAsAiExWPJSSRzA4HkEFABBZ4pLrH0a5cYr5Wu44aeoOwoqDEVQAAJHF568PF5VHzdUpyqsPO5VHCSoORlABAEQen59w0UbYOpn20UcflcvlavDq0qWLnS0BAAAHsf2IyoABA7Rly5bg+6ioKBu7AQAATmJ7UImOjuYoCgAAaJLt91HZu3evunXrpp49e+rGG2/UV199ddp1A4GAysrKGrwAAEDrZWtQufjii/XSSy/p3Xff1cqVK3X48GENHz5cR482PZM7KytLiYmJwZffz0QqAABaM1uDyrhx4/STn/xE559/vkaPHq0//vGPkqQXX3yxyfXnzZun0tLS4KugoCCc7QIAgDCzfY7Kd8XHx+v888/X3r17m/zc4/HI4/GEuSsAAGAX2+eofFcgENCXX36prl272t0KAABwAFuDyv3336/s7Gzt379ff/3rX/XTn/5UZWVlmjx5sp1tAQAAh7D11M8///lP3XTTTSoqKlKnTp10ySWXaPv27erevbudbQE4gwMlVSquqDZV48ixKqVb1A+A1s3WoLJu3To7Nw+gmQ6UVGn009mqqqk1VWeAa79GeaQEr9uizgC0Vo6aTAvA2YorqlVVU6slEzOUnto+5DqxRYnSJim1PZPjAZwZQQVAs6WnttfAtMTQC7hCDzkA2haCCoBm6aYixRbtNhc2ivKsawhAq0ZQAXDW3OUHtMUzR3GbAhYUi5Piks3XAdCqEVQAnLWoE8cU5wqoYNRS+XtlmCsWlyz5eAwGHMCKI3zszy2GoAKg2QK+dKlbht1tAObEJdcf2ds4xXwtd5w0dQdhpQUQVAAAbZPPXx8uKpt+EO5ZK8qrDzuVRwkqLYCgAgBou3x+woXDOepZPwAAAN9FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI5FUAEAAI7FQwmBtqKkwPRTYj0l+RY1AwBnh6ACtAUlBdKyoVJNpakyfkmVhke1sR2t6QsAvgdBBWgLKo/Wh5QJK6WU3iGXyT9SrtvW7tOK9mkWNgcAp0dQAdqSlN5St4yQv37CKNVBlVrXDwB8DybTAgAAxyKoAAAAx+LUDwAADpNfWG66RlJ8jNJ8Xgu6sRdBBQAAh0iKj5HXHaUZ63NN1/K6o7RldmbEhxWCCtCG5B8p1wkj9MmwVvwrD8Dppfm82jI7U8UV1abq5BeWa8b6XBVXVBNUADhfYXlAqZKmr8vVFyaCilT/r7Sk+BhrGgPQSJrPG/HhwkoEFaANKKuqUaqk+8f0UafeQ03Vai3nvQFEBoIK0Ib4O3qVnpZodxsAcNa4PBkAADgWQQUAADgWQQUAADgWQQUAADgWQQUAADgWQQUAADgWQQUAADgWQQUAADgWQQUAADiWY4JKVlaWXC6XZsyYYXcrAADAIRwRVHbu3KkVK1boggsusLsVAADgIM0OKidPntT8+fNVUFBgSQPl5eW65ZZbtHLlSiUlJVlSEwAAtA7NDirR0dFauHChamtrLWlg6tSpuuqqqzR69GhL6gEAgNYjpKcnjx49Wlu3btXtt99uauPr1q3TJ598op07d57V+oFAQIFAIPi+rKzM1PYBAICzhRRUxo0bp3nz5unzzz/X4MGDFR8f3+Dza6655ntrFBQUaPr06dq8ebNiY2PPartZWVmaP39+KC0DAIAIFFJQuffeeyVJzzzzTKPPXC7XWZ0W2rVrlwoLCzV48ODgstraWn3wwQd6/vnnFQgEFBUV1eA78+bN06xZs4Lvy8rK5Pf7Q/kRgMhRUiBVHjVVwlOSb1EzABBeIQWVuro60xv+0Y9+pN27dzdYdscdd6hv37568MEHG4UUSfJ4PPJ4PKa3DUSMkgJp2VCpptJUGb+kSsOj2tiO1vQFoLGiPGvqxCVLPv4RfkpIQcUKHTp00MCBAxssi4+PV3JycqPlQJtVebQ+pExYKaX0DrlM/pFy3bZ2n1a0T7OwOQCS6oOFO07aOMWaeu44aeoOwsq/hBxUsrOztWjRIn355ZdyuVzq16+f5syZo0svvdTK/gBI9SGlW0bIXz9hlOqgSq3rB8D/8fnrg4XJU7SS6o/KbJxSX4ugIinEoPLyyy/rjjvu0IQJEzRt2jQZhqFt27bpRz/6kdasWaObb745pGa2bt0a0vcAALCVz0+waCEhBZXHH39cTz31lGbOnBlcNn36dD3zzDP67W9/G3JQAQAA+K6QbqH/1Vdf6cc//nGj5ddcc432799vuikAAAApxKDi9/v15z//udHyP//5z1wuDAAALBPSqZ/Zs2dr2rRpys3N1fDhw+VyufTRRx9pzZo1Wrp0qdU9AgCANirkG7516dJFTz/9tP7nf/5HktSvXz+tX79e1157raUNAgCAtivky5Ovu+46XXfddVb2AgAA0EBIc1QAAADC4ayPqHTs2FF5eXlKSUlRUlKSXC7Xadc9duyYJc0BAIC27ayDyuLFi9WhQwdJ0pIlS1qqHwAAgKCzDiqTJ0+WJJ08eVKSNHbsWHXp0qVlugIAAFAIc1Sio6N17733KhAItEQ/AAAAQSFNpr344ouVk5NjdS8AAAANhHR58i9+8QvNnj1b//znPzV48GDFx8c3+PyCCy6wpDkA9fKPlOuEEfrTj/MLyy3sBgDCJ6SgMnHiREnStGnTgstcLpcMw5DL5VJtba013QFtXGF5QKmSpq/L1Rcmgooked1RSoqPsaYxAAiTkIIKDx4EwqOsqkapku4f00edeg81VSspPkZpPq81jQFAmIQUVLp37251HwDOwN/Rq/S0RLvbAICwC/nOtH/4wx80YsQIdevWTV9//bWk+vurvP7665Y1BwAA2raQgsry5cs1a9Ys/cd//IdKSkqCc1J8Ph83gwMAAJYJKag899xzWrlypR5++GFFRUUFlw8ZMkS7d++2rDkAANC2hRRU9u/frwsvvLDRco/Ho4qKCtNNAQAASCEGlZ49eyo3N7fR8j/96U/q37+/2Z4AAAAkhXjVz5w5czR16lSdOHFChmFox44dWrt2rbKysvRf//VfVvcIAADaqJCCyh133KGTJ0/qgQceUGVlpW6++WalpaVp6dKluvHGG63uEQAAtFEhBRVJmjJliqZMmaKioiLV1dUpNTXVyr4AAABCm6Ny+eWXq6SkRJKUkpISDCllZWW6/PLLLWsOAAC0bSEFla1bt6q6urrR8hMnTujDDz803RQAAIDUzFM/n332WfC/79mzR4cPHw6+r62t1TvvvKO0tDTrugMAAG1as4JKRkaGXC6XXC5Xk6d4vF6vnnvuOcuaAwAAbVuzgsr+/ftlGIbOO+887dixQ506dQp+FhMTo9TU1AZ3qgUAADCjWUHl1FOT6+rqWqQZAACA7wppMu2LL76oP/7xj8H3DzzwgHw+n4YPHx58kjIAAIBZIQWVBQsWyOv1SpL+8pe/6Pnnn9dTTz2llJQUzZw509IGAQBA2xXSDd8KCgqUnp4uSXrttdf005/+VD/72c80YsQIjRw50sr+AABAGxZSUGnfvr2OHj2qc889V5s3bw4eRYmNjVVVVZWlDQKR6kBJlYorGt9vqDmOHKtSukX9AGh78gvLTddIio9Rms9rQTehCSmoXHHFFbr77rt14YUXKi8vT1dddZUk6YsvvlCPHj2s7A+ISAdKqjTp6Q3yniwxVSfddUCjYqQEr9uaxgC0CUnxMfK6ozRjfa7pWl53lLbMzrQtrIQUVJYtW6Zf/epXKigo0IYNG5ScnCxJ2rVrl2666SZLGwQiUfm3+/VWu1mK8wRM16qL9io1tZsFXQFoK9J8Xm2ZnWn6qG5+YblmrM9VcUV1ZAUVn8+n559/vtHy+fPnm24IaA2iThxTnCugglFL5e+VYapWu7hkyee3pjEAkaEoz3SJtLhkpaVF/v93hPz05JKSEq1atUpffvmlXC6X+vXrp7vuukuJiYlW9gdEtIAvXeqWYXcbACJFXLLkjpM2TjFfyx0nTd0R8f/QCSmo/O1vf9PYsWPl9Xo1dOhQGYahxYsXa8GCBdq8ebMGDRpkdZ8AALR+Pn99uKg8aq5OUV592Kk82jaDysyZM3XNNddo5cqVio6uL3Hy5EndfffdmjFjhj744ANLmwQAoM3w+SM+XFgp5CMq3w0pkhQdHa0HHnhAQ4YMsaw5AADQtoUUVBISEvTNN9+ob9++DZYXFBSoQ4cOljQG2KakwPRhV09JvkXNAEDbFlJQmThxou666y4tWrRIw4cPl8vl0kcffaQ5c+Y06/Lk5cuXa/ny5frHP/4hSRowYIB+/etfa9y4caG0BZhXUiAtGyrVVJoq45dUaXhUG9vRmr4AoI0KKagsWrRI7dq102233aaTJ09Kktxut+6991498cQTZ13nnHPO0RNPPBG8Hf+LL76oa6+9Vjk5ORowYEAorQHmVB6tDykTVkopvUMuk3+kXLet3acV7dMsbA4A2p5mBZXKykrNmTNHr732mmpqajR+/Hj98pe/VGJiotLT0xUXF9esjf/4xz9u8P7xxx/X8uXLtX37doIK7JXS29RlxSeMUh1UqXX9AEAb1ayg8sgjj2jNmjW65ZZb5PV69corr6iurk6vvvqq6UZqa2v16quvqqKiQsOGDWtynUAgoEDg/+70WVZWZnq7AADAuZoVVDZu3KhVq1bpxhtvlCTdcsstGjFihGpraxUVFRVSA7t379awYcN04sQJtW/fXps2bVL//v2bXDcrK4u73wIA0Ia0a87KBQUFuvTSS4Pvhw4dqujoaB08eDDkBvr06aPc3Fxt375d9957ryZPnqw9e/Y0ue68efNUWloafBUUFIS8XQAA4HzNOqJSW1urmJiYhgWio4MTakMRExMTnEw7ZMgQ7dy5U0uXLtULL7zQaF2PxyOPxxPytgAAQGRpVlAxDEO33357g7Bw4sQJ3XPPPYqPjw8u27hxY8gNGYbRYB4KAABou5oVVCZPntxo2a233hryxh966CGNGzdOfr9fx48f17p167R161a98847IdcEAACtR7OCyurVqy3d+LfffqtJkybp0KFDSkxM1AUXXKB33nlHV1xxhaXbAQAAkSmkG75ZZdWqVXZuHgAAOFyzrvoBAAAIJ4IKAABwLIIKAABwLFvnqABOlX+kXCeM0J/Vk19YbmE3ANB2EVSA7ygsDyhV0vR1ufrCRFCRJK87SknxMd+/IgDgtAgqwHeUVdUoVdL9Y/qoU++hpmolxccozee1pjEAaKMIKkAT/B29Sk9LtLsNAGjzmEwLAAAci6ACAAAci6ACAAAci6ACAAAci6ACAAAci6t+AABorYryTH09tqhc3VRkUTOhIagAANDaxCVL7jhp4xRTZdIlbfF4VFB+kSR7btlAUAEAoLXx+aWpO6TKo6bKFOzNlf/96Yo6ccyixpqPoAIAQGvk89e/TAgcsf+5ZUymBQAAjkVQAQAAjkVQAQAAjkVQAQAAjkVQAQAAjsVVP2g9SgpMX4rnKcm3qBkAgBUIKmgdSgqkZUOlmkpTZfySKg2PamM7WtMXAMAUggpah8qj9SFlwkoppXfIZfKPlOu2tfu0on2ahc0BAEJFUEHrktJb6pYR8tdPGKU6qFLr+gEAmMJkWgAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4FgEFQAA4Fg86wf2Kymof6igGUV51vQCAHAUggrsVVIgLRta/+Rjs9xxUlyy+ToAAMcgqMBelUfrQ8qElfVPPjYjLlny+a3pCwDgCAQVOENKb6lbht1dAAAchsm0AADAsWwNKllZWbrooovUoUMHpaamavz48fr73/9uZ0sAAMBBbA0q2dnZmjp1qrZv36733ntPJ0+e1JgxY1RRUWFnWwAAwCFsnaPyzjvvNHi/evVqpaamateuXbrsssts6goAADiFoybTlpaWSpI6duzY5OeBQECBQCD4vqysLCx9AQAAezhmMq1hGJo1a5Z++MMfauDAgU2uk5WVpcTExODL7+dSVAAAWjPHBJVf/vKX+uyzz7R27drTrjNv3jyVlpYGXwUFBWHsEAAAhJsjTv3cd999euONN/TBBx/onHPOOe16Ho9HHo8njJ0BAAA72RpUDMPQfffdp02bNmnr1q3q2bOnne0AAACHsTWoTJ06Va+88opef/11dejQQYcPH5YkJSYmyuv12tkaAABwAFvnqCxfvlylpaUaOXKkunbtGnytX7/ezrYAAIBD2H7qB7DKgZIqFVdUm6qRX1huUTcAACs4YjItIlRJQf3Tj80oyrOklQMlVRr9dLaqampN1/K6o5QUH2NBVwAAswgqCE1JgbRsqFRTab6WO06KSzZVoriiWlU1tVoyMUPpqe1N1UqKj1GajzlSAOAEBJW2yKojITWV0oSVUkpvc7XikiWfNTfvS09tr4FpiZbUAgDYj6DS1lh9JOTcYZaFDAAA/h1Bpa2pPOrIIyEAADSFoNJWpfSWumXY3QUAAGfkmGf9AAAA/DuCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCyCCgAAcCzuowLb8dRjAMDpEFRgK556DAA4E4IKbMVTjwEAZ0JQgSPw1GMAQFOYTAsAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByL+6hEkpICqfKouRpFedb0AgBAGBBUIkVJgbRsqFRTab6WO06KSzZfBwCAFkZQiRSVR+tDyoSVUkpvc7XikiWf35q+AABoQQSVSJPSW+qWYXcXAACEBZNpAQCAY3FEBSE7UFKl4opqUzXyC8st6gYA0BoRVBCSAyVVGv10tqpqak3X8rqjlBQfY0FXAIDWhqCCkBRXVKuqplZLJmYoPbW9qVpJ8TFK83kt6gwA0JoQVGBKemp7DUxLtLsNAEArxWRaAADgWAQVAADgWAQVAADgWAQVAADgWAQVAADgWAQVAADgWAQVAADgWAQVAADgWNzwLRxKCqTKo+ZqFOVZ0wsAABHE1qDywQcfaOHChdq1a5cOHTqkTZs2afz48Xa2ZL2SAmnZUKmm0nwtd5wUl2y+DgAAEcLWoFJRUaEf/OAHuuOOO/STn/zEzlZaTuXR+pAyYaWU0ttcrbhkyee3pi8AACKArUFl3LhxGjdunJ0thE9Kb6lbht1dAAAQUSJqjkogEFAgEAi+Lysrs7EbAADQ0iLqqp+srCwlJiYGX34/p0EAAGjNIiqozJs3T6WlpcFXQUGB3S0BAIAWFFGnfjwejzwej91tAACAMImoIyoAAKBtsfWISnl5ufLz84Pv9+/fr9zcXHXs2FHnnnuujZ0BAAAnsDWo/O1vf9OoUaOC72fNmiVJmjx5stasWWNTVwAAwClsDSojR46UYRh2tgAAAByMOSoAAMCxCCoAAMCxCCoAAMCxIuo+KrDGgZIqFVdUm6qRX1huUTcAAJweQeVMSgrqn35sRlGeNb1Y5EBJlUY/na2qmlrTtbzuKCXFx1jQFQAATSOonE5JgbRsqFRTab6WO06KSzZfxwLFFdWqqqnVkokZSk9tb6pWUnyM0nxeizoDAKAxgsrpVB6tDykTVkopvc3VikuWfM56gGJ6ansNTEu0uw0AAM6IoPJ9UnpL3TLs7gIAgDaJq34AAIBjEVQAAIBjEVQAAIBjEVQAAIBjMZk2gnCjNgBAW0NQiRDcqA0A0BYRVCIEN2oDALRFBJUIw43aAABtCZNpAQCAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAYxFUAACAY0Xb3UBbcKCkSsUV1aZq5BeWW9QNAACRg6DSwg6UVGn009mqqqk1XcvrjlJSfIwFXQEAEBkIKi2suKJaVTW1WjIxQ+mp7U3VSoqPUZrPa1FnAAA4H0ElTNJT22tgWqLdbQAAEFGYTAsAAByLoAIAAByLUz/fI/9IuU4YpaF/n6t1AAAIGUHlNArLA0qVNH1drr4wEVQkrtYBACBUBJXTKKuqUaqk+8f0UafeQ03V4modAABCY3tQ+d3vfqeFCxfq0KFDGjBggJYsWaJLL73U7raC/B29SudqHQAAbGHrZNr169drxowZevjhh5WTk6NLL71U48aN0zfffGNnWwAAwCFsDSrPPPOM7rrrLt19993q16+flixZIr/fr+XLl9vZFgAAcAjbTv1UV1dr165dmjt3boPlY8aM0bZt25r8TiAQUCAQCL4vLa2f5FpWVmZ5f8fLK1QWMOr/swXqAwDgdC31t/BULcMwvndd24JKUVGRamtr1blz5wbLO3furMOHDzf5naysLM2fP7/Rcr/f3yI9SpKeuLLlagMAEAla6G/h8ePHlZh45nmgtk+mdblcDd4bhtFo2Snz5s3TrFmzgu/r6up07NgxJScnn/Y7oSorK5Pf71dBQYESEhIsrY3/wziHB+McHoxzeDDO4dNSY20Yho4fP65u3bp977q2BZWUlBRFRUU1OnpSWFjY6CjLKR6PRx6Pp8Eyn8/XUi1KkhISEvgfQhgwzuHBOIcH4xwejHP4tMRYf9+RlFNsm0wbExOjwYMH67333muw/L333tPw4cNt6goAADiJrad+Zs2apUmTJmnIkCEaNmyYVqxYoW+++Ub33HOPnW0BAACHsDWoTJw4UUePHtVvfvMbHTp0SAMHDtTbb7+t7t2729mWpPrTTI888kijU02wFuMcHoxzeDDO4cE4h48TxtplnM21QQAAADaw9YZvAAAAZ0JQAQAAjkVQAQAAjkVQAQAAjtVmgsrvfvc79ezZU7GxsRo8eLA+/PDD06576NAh3XzzzerTp4/atWunGTNmNFpnzZo1crlcjV4nTpxowZ/C+Zozzhs3btQVV1yhTp06KSEhQcOGDdO7777baL0NGzaof//+8ng86t+/vzZt2tSSP0JEsHqc2Z9Przlj/dFHH2nEiBFKTk6W1+tV3759tXjx4kbrsU83ZvU4s083rTnj/F0ff/yxoqOjlZGR0eizFt+fjTZg3bp1htvtNlauXGns2bPHmD59uhEfH298/fXXTa6/f/9+Y9q0acaLL75oZGRkGNOnT2+0zurVq42EhATj0KFDDV5tWXPHefr06caTTz5p7Nixw8jLyzPmzZtnuN1u45NPPgmus23bNiMqKspYsGCB8eWXXxoLFiwwoqOjje3bt4frx3Kclhhn9uemNXesP/nkE+OVV14xPv/8c2P//v3GH/7wByMuLs544YUXguuwTzfWEuPMPt1Yc8f5lJKSEuO8884zxowZY/zgBz9o8Fk49uc2EVSGDh1q3HPPPQ2W9e3b15g7d+73fjczM/O0QSUxMdGiDlsHM+N8Sv/+/Y358+cH399www3GlVde2WCdsWPHGjfeeKO5ZiNYS4wz+3PTrBjr6667zrj11luD79mnG2uJcWafbizUcZ44caLxq1/9ynjkkUcaBZVw7M+t/tRPdXW1du3apTFjxjRYPmbMGG3bts1U7fLycnXv3l3nnHOOrr76auXk5JiqF8msGOe6ujodP35cHTt2DC77y1/+0qjm2LFjTf/uIlVLjbPE/vzvrBjrnJwcbdu2TZmZmcFl7NMNtdQ4S+zT3xXqOK9evVr79u3TI4880uTn4difW31QKSoqUm1tbaMHHXbu3LnRAxGbo2/fvlqzZo3eeOMNrV27VrGxsRoxYoT27t1rtuWIZMU4P/3006qoqNANN9wQXHb48GHLf3eRrKXGmf25MTNjfc4558jj8WjIkCGaOnWq7r777uBn7NMNtdQ4s083FMo47927V3PnztV///d/Kzq66RvZh2N/tvUW+uHkcrkavDcMo9Gy5rjkkkt0ySWXBN+PGDFCgwYN0nPPPadnn3025LqRLtRxXrt2rR599FG9/vrrSk1NtaRma2b1OLM/n14oY/3hhx+qvLxc27dv19y5c5Wenq6bbrrJVM3WzupxZp9u2tmOc21trW6++WbNnz9fvXv3tqRmqFp9UElJSVFUVFSjdFdYWNgoBZrRrl07XXTRRW02rZsZ5/Xr1+uuu+7Sq6++qtGjRzf4rEuXLi3+u4skLTXO/66t78+SubHu2bOnJOn888/Xt99+q0cffTT4B5R9uqGWGud/19b36eaO8/Hjx/W3v/1NOTk5+uUvfymp/rSxYRiKjo7W5s2bdfnll4dlf271p35iYmI0ePBgvffeew2Wv/feexo+fLhl2zEMQ7m5ueratatlNSNJqOO8du1a3X777XrllVd01VVXNfp82LBhjWpu3rzZ0t9dJGmpcf53bX1/lqz7/w7DMBQIBILv2acbaqlxburztrxPN3ecExIStHv3buXm5gZf99xzj/r06aPc3FxdfPHFksK0P1s2LdfBTl2StWrVKmPPnj3GjBkzjPj4eOMf//iHYRiGMXfuXGPSpEkNvpOTk2Pk5OQYgwcPNm6++WYjJyfH+OKLL4KfP/roo8Y777xj7Nu3z8jJyTHuuOMOIzo62vjrX/8a1p/NSZo7zq+88ooRHR1tLFu2rMHlgyUlJcF1Pv74YyMqKsp44oknjC+//NJ44oknuJSzBcaZ/blpzR3r559/3njjjTeMvLw8Iy8vz/j9739vJCQkGA8//HBwHfbpxlpinNmnGwvlb+F3NXXVTzj25zYRVAzDMJYtW2Z0797diImJMQYNGmRkZ2cHP5s8ebKRmZnZYH1JjV7du3cPfj5jxgzj3HPPNWJiYoxOnToZY8aMMbZt2xamn8a5mjPOmZmZTY7z5MmTG9R89dVXjT59+hhut9vo27evsWHDhjD9NM5l9TizP59ec8b62WefNQYMGGDExcUZCQkJxoUXXmj87ne/M2praxvUZJ9uzOpxZp9uWnP/Fn5XU0HFMFp+f3YZhmFYd3wGAADAOq1+jgoAAIhcBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAAOBYBBUAtvnss880YcIEJScnKzY2VgMGDNDChQt18uRJu1sD4BAEFQC2yM7O1iWXXCKv16vXX39dn376qR544AEtWrRIEyZMUF1dnd0tAnAAnvUDIOxqa2vVq1cvDR8+XC+//HKDz/bs2aOMjAwtX75cd911l00dAnAKggqAsPvLX/6i4cOHKzc3Vz/4wQ8afT5+/HhVVlZq8+bNNnQHwEk49QMg7Pbv3y9J6tWrV5Of9+7dW19//XU4WwLgUAQVAGGXkJAgSTp27FiTnxcXFwfXAdC2EVQAhN2wYcPkdrv15ptvNvqstrZWmzdv1g9/+ENJ0rhx4zRr1ixdcskl6tu3r3bu3KlrrrlG3bt314oVK8LdOoAwI6gACLvk5GRNmzZNjz32mA4ePNjgs8WLF+vo0aOaOXOmJOnzzz/XBRdcoO3bt2vo0KF68MEHtXbtWr3++utavXq1He0DCCOCCoCwKy8v17Rp09SzZ0+NGjVKn3zyiSRp4cKFeuihh/Tcc88pJiZGpaWliomJ0e233y5Jio2N1fTp0xUfHy+Px6PExEQbfwoA4UBQARB2ixYtUvfu3fXxxx8rLy9Pzz77rCTpgQceUE1Nje6880517dpVn3/+uS666KLg93bv3q2LL744+N8HDhxoS/8AwoegAiDsHn30URmGEXytWbNGkhosMwxDn3/+uc4///zgZ99++626dOkiSQ0+A9B6EVQAONYXX3wRDCP/+Mc/1KNHj+BnBBWgbeCGbwAAwLE4ogIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAAByLoAIAABzr/wNO8nyZjrGQ5QAAAABJRU5ErkJggg==", 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" ] @@ -1044,7 +1053,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ESS = 11373\n" + "ESS = 14865\n" ] } ], @@ -1065,7 +1074,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1098,6 +1107,8 @@ "tags": [] }, "source": [ + "--- \n", + "\n", "# Manually running pipelines" ] }, @@ -1136,32 +1147,255 @@ "name": "stdout", "output_type": "stream", "text": [ - "Reading included ini file: `examples/des-y3-scale-cuts.ini'\n" + "Reading included ini file: `examples/des-y3-scale-cuts.ini'\n", + "\n", + "Setting up module consistency\n", + "------------------------------\n", + "\n", + "Setting up module bbn_consistency\n", + "----------------------------------\n", + "\n", + "Setting up module camb\n", + "-----------------------\n", + "\n", + "Setting up module fast_pt\n", + "--------------------------\n", + "You have asked for quantities from FAST-PT. FAST-PT will be run.\n", + "\n", + "Setting up module fits_nz\n", + "--------------------------\n", + "Loading number density data from likelihood/des-y3/2pt_NG_final_2ptunblind_02_24_21_wnz_covupdate.v2.fits:\n", + " Looking at FITS extension NZ_LENS:\n", + " Found 5 bins\n", + " Looking at FITS extension NZ_SOURCE:\n", + " Found 4 bins\n", + " Putting n(0) = 0 at the start of the n(z)\n", + "\n", + "Setting up module lens_photoz_width\n", + "------------------------------------\n", + "\n", + "Setting up module lens_photoz_bias\n", + "-----------------------------------\n", + "\n", + "Setting up module source_photoz_bias\n", + "-------------------------------------\n", + "\n", + "Setting up module IA\n", + "---------------------\n", + "\n", + "Setting up module pk_to_cl_gg\n", + "------------------------------\n", + "doing exact for option_name lingal-lingal\n", + "Calculating Limber: Kernel 1 = ('N', 'lens'), Kernel 2 = ('N', 'lens'), P_3D = MatterPower3D, section = matter_power_nl --> Output: galaxy_cl\n", + "Will project these spectra into 2D:\n", + " - galaxy_cl\n", + "Doing exact calculation for 33 ells\n", + "between 1.0 and 189.0\n", + "\n", + "Setting up module pk_to_cl\n", + "---------------------------\n", + "Calculating Limber: Kernel 1 = ('W', 'source'), Kernel 2 = ('W', 'source'), P_3D = MatterPower3D, section = matter_power_nl --> Output: shear_cl\n", + "Calculating Limber: Kernel 1 = ('W', 'source'), Kernel 2 = ('N', 'source'), P_3D = MatterIntrinsicPower3D, section = matter_intrinsic_power --> Output: shear_cl_gi\n", + "Calculating Limber: Kernel 1 = ('N', 'source'), Kernel 2 = ('N', 'source'), P_3D = IntrinsicPower3D, section = intrinsic_power --> Output: shear_cl_ii\n", + "Calculating Limber: Kernel 1 = ('N', 'source'), Kernel 2 = ('N', 'source'), P_3D = IntrinsicBBPower3D, section = intrinsic_power_bb --> Output: shear_cl_bb\n", + "Calculating Limber: Kernel 1 = ('W', 'lens'), Kernel 2 = ('W', 'lens'), P_3D = MatterPower3D, section = matter_power_nl --> Output: magnification_cl\n", + "Calculating Limber: Kernel 1 = ('W', 'lens'), Kernel 2 = ('N', 'source'), P_3D = MatterIntrinsicPower3D, section = matter_intrinsic_power --> Output: magnification_intrinsic_cl\n", + "Calculating Limber: Kernel 1 = ('W', 'lens'), Kernel 2 = ('W', 'source'), P_3D = MatterPower3D, section = matter_power_nl --> Output: magnification_shear_cl\n", + "Calculating Limber: Kernel 1 = ('N', 'lens'), Kernel 2 = ('W', 'source'), P_3D = MatterPower3D, section = matter_power_nl --> Output: galaxy_shear_cl\n", + "Calculating Limber: Kernel 1 = ('N', 'lens'), Kernel 2 = ('W', 'lens'), P_3D = MatterPower3D, section = matter_power_nl --> Output: galaxy_magnification_cl\n", + "Calculating Limber: Kernel 1 = ('N', 'lens'), Kernel 2 = ('N', 'source'), P_3D = MatterIntrinsicPower3D, section = matter_intrinsic_power --> Output: galaxy_intrinsic_cl\n", + "Will project these spectra into 2D:\n", + " - shear_cl\n", + " - shear_cl_gi\n", + " - shear_cl_ii\n", + " - shear_cl_bb\n", + " - magnification_cl\n", + " - magnification_intrinsic_cl\n", + " - magnification_shear_cl\n", + " - galaxy_shear_cl\n", + " - galaxy_magnification_cl\n", + " - galaxy_intrinsic_cl\n", + "\n", + "Setting up module add_magnification\n", + "------------------------------------\n", + "\n", + "The add_magnification module will try to combine magnification terms into the following spectra:\n", + "galaxy-shear\n", + "galaxy-galaxy\n", + "\n", + "\n", + "Setting up module add_intrinsic\n", + "--------------------------------\n", + "\n", + "The add_intrinsic module will try to combine IA terms into these spectra:\n", + " - shear-shear.\n", + " - position-shear.\n", + "\n", + "\n", + "Setting up module 2pt_shear\n", + "----------------------------\n", + "*** Reading in theta values from data file likelihood/des-y3/2pt_NG_final_2ptunblind_02_24_21_wnz_covupdate.v2.fits ***\n", + "*** Using bin averaged Legendre coefficients ***\n", + "Note: we are assuming that the theta values for all bin pairs are the same. If this is not true, you need to modify cl_to_xi_interface\n", + "Computing coefficients to transform ('shear_cl', 'shear_cl_bb') -> ('shear_xi_plus', 'shear_xi_minus')\n", + "getting bin averaged leg factors for 22\n", + "\n", + "Setting up module 2pt_gal\n", + "--------------------------\n", + "*** Reading in theta values from data file likelihood/des-y3/2pt_NG_final_2ptunblind_02_24_21_wnz_covupdate.v2.fits ***\n", + "*** Using bin averaged Legendre coefficients ***\n", + "Note: we are assuming that the theta values for all bin pairs are the same. If this is not true, you need to modify cl_to_xi_interface\n", + "Computing coefficients to transform galaxy_cl -> galaxy_xi\n", + "getting bin averaged leg factors for 00\n", + "\n", + "Setting up module 2pt_gal_shear\n", + "--------------------------------\n", + "*** Reading in theta values from data file likelihood/des-y3/2pt_NG_final_2ptunblind_02_24_21_wnz_covupdate.v2.fits ***\n", + "*** Using bin averaged Legendre coefficients ***\n", + "Note: we are assuming that the theta values for all bin pairs are the same. If this is not true, you need to modify cl_to_xi_interface\n", + "Computing coefficients to transform galaxy_shear_cl -> galaxy_shear_xi\n", + "getting bin averaged leg factors for 02\n", + "\n", + "Setting up module shear_m_bias\n", + "-------------------------------\n", + "\n", + "The shear_m_bias module will use calibration values from shear_calibration_parameters and look for \n", + "shear-shear spectra in ['shear_xi_plus', 'shear_xi_minus'] and position-shear in ['galaxy_shear_xi']\n", + "Currently this module will always use the same set of m values for each section\n", + "\n", + "Setting up module add_point_mass\n", + "---------------------------------\n", + "\n", + "Setting up module 2pt_like\n", + "---------------------------\n", + "Doing point-mass marginalization: True\n", + "Using sigma_crit_inv factors in pm-marg: True\n", + "Doing small-scale marginalization: False\n", + "Cutting xip bin pair (1,1) to angle range (2.475 - 999.0): this removes 0 values out of 20\n", + "Cutting xip bin pair (1,2) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (1,3) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (1,4) to angle range (4.93827423 - 999.0): this removes 3 values out of 20\n", + "Cutting xip bin pair (2,2) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (2,3) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (2,4) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (3,3) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (3,4) to angle range (6.21691892 - 999.0): this removes 4 values out of 20\n", + "Cutting xip bin pair (4,4) to angle range (4.93827423 - 999.0): this removes 3 values out of 20\n", + "\n", + "Cutting xim bin pair (1,1) to angle range (24.75 - 999.0): this removes 10 values out of 20\n", + "Cutting xim bin pair (1,2) to angle range (62.16918918 - 999.0): this removes 14 values out of 20\n", + "Cutting xim bin pair (1,3) to angle range (62.16918918 - 999.0): this removes 14 values out of 20\n", + "Cutting xim bin pair (1,4) to angle range (49.3827423 - 999.0): this removes 13 values out of 20\n", + "Cutting xim bin pair (2,2) to angle range (62.16918918 - 999.0): this removes 14 values out of 20\n", + "Cutting xim bin pair (2,3) to angle range (78.26637209 - 999.0): this removes 15 values out of 20\n", + "Cutting xim bin pair (2,4) to angle range (78.26637209 - 999.0): this removes 15 values out of 20\n", + "Cutting xim bin pair (3,3) to angle range (78.26637209 - 999.0): this removes 15 values out of 20\n", + "Cutting xim bin pair (3,4) to angle range (78.26637209 - 999.0): this removes 15 values out of 20\n", + "Cutting xim bin pair (4,4) to angle range (62.16918918 - 999.0): this removes 14 values out of 20\n", + "\n", + "Cutting gammat bin pair (1,1) to angle range (24.75 - 999.0): this removes 10 values out of 20\n", + "Cutting gammat bin pair (1,2) to angle range (24.75 - 999.0): this removes 10 values out of 20\n", + "Cutting gammat bin pair (1,3) to angle range (24.75 - 999.0): this removes 10 values out of 20\n", + "Cutting gammat bin pair (1,4) to angle range (24.75 - 999.0): this removes 10 values out of 20\n", + "Cutting gammat bin pair (2,1) to angle range (15.61619428 - 999.0): this removes 8 values out of 20\n", + "Cutting gammat bin pair (2,2) to angle range (15.61619428 - 999.0): this removes 8 values out of 20\n", + "Cutting gammat bin pair (2,3) to angle range (15.61619428 - 999.0): this removes 8 values out of 20\n", + "Cutting gammat bin pair (2,4) to angle range (15.61619428 - 999.0): this removes 8 values out of 20\n", + "Cutting gammat bin pair (3,1) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (3,2) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (3,3) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (3,4) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (4,1) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (4,2) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (4,3) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (4,4) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "Cutting gammat bin pair (5,1) to angle range (9.85315247 - 999.0): this removes 6 values out of 20\n", + "Cutting gammat bin pair (5,2) to angle range (9.85315247 - 999.0): this removes 6 values out of 20\n", + "Cutting gammat bin pair (5,3) to angle range (9.85315247 - 999.0): this removes 6 values out of 20\n", + "Cutting gammat bin pair (5,4) to angle range (9.85315247 - 999.0): this removes 6 values out of 20\n", + "\n", + "Cutting wtheta bin pair (1,1) to angle range (39.22610651 - 999.0): this removes 12 values out of 20\n", + "Cutting wtheta bin pair (2,2) to angle range (24.75 - 999.0): this removes 10 values out of 20\n", + "Cutting wtheta bin pair (3,3) to angle range (19.65962381 - 999.0): this removes 9 values out of 20\n", + "Cutting wtheta bin pair (4,4) to angle range (15.61619428 - 999.0): this removes 8 values out of 20\n", + "Cutting wtheta bin pair (5,5) to angle range (12.40438403 - 999.0): this removes 7 values out of 20\n", + "\n", + "Found these data sets in the file:\n", + " - xip 166 data points after cuts [using in likelihood]\n", + " - xim 61 data points after cuts [using in likelihood]\n", + " - gammat 248 data points after cuts [using in likelihood]\n", + " - wtheta 54 data points after cuts [using in likelihood]\n", + "Total data points used = 529\n", + "Original covariance log(det): (1.0, -13340.21829668609)\n", + "will get sigma_crit_inv factors from section sigma_crit_inv_lens_source\n", + "using sigma_crit_inv factors to retain shear-ratio info\n", + "setting up template matrix for pm-marginalization with shape: (5, 529)\n", + "**** WARNING: Parameter 'include_norm' in the [2pt_like] section never used!\n", + "\n", + "**** WARNING: Parameter 'make_covariance' in the [2pt_like] section never used!\n", + "\n", + "\n", + "Setting up module shear_ratio_like\n", + "-----------------------------------\n" ] }, { - "ename": "OSError", - "evalue": "dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache) ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:38\u001b[0m, in \u001b[0;36mload_gsl\u001b[0;34m(libfile)\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 37\u001b[0m \u001b[38;5;66;03m# Try loading the CBLAS file first. Sometimes this is needed.\u001b[39;00m\n\u001b[0;32m---> 38\u001b[0m gsl \u001b[38;5;241m=\u001b[39m \u001b[43mct\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCDLL\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlibfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mct\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mRTLD_GLOBAL\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 39\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", - "File \u001b[0;32m~/src/cosmosis/env-dev/lib/python3.11/ctypes/__init__.py:376\u001b[0m, in \u001b[0;36mCDLL.__init__\u001b[0;34m(self, name, mode, handle, use_errno, use_last_error, winmode)\u001b[0m\n\u001b[1;32m 375\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m handle \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 376\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_handle \u001b[38;5;241m=\u001b[39m \u001b[43m_dlopen\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", - "\u001b[0;31mOSError\u001b[0m: dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache)", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[22], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m pipe \u001b[38;5;241m=\u001b[39m \u001b[43mcosmosis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mLikelihoodPipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mexamples/des-y3.ini\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:730\u001b[0m, in \u001b[0;36mLikelihoodPipeline.__init__\u001b[0;34m(self, arg, id, override, modules, load, values, priors, only)\u001b[0m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, arg\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28mid\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m, override\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, modules\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, load\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, values\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, priors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 721\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mu\u001b[39m\u001b[38;5;124;03m\"\"\"Construct a :class:`LikelihoodPipeline`.\u001b[39;00m\n\u001b[1;32m 722\u001b[0m \n\u001b[1;32m 723\u001b[0m \u001b[38;5;124;03m The arguments `arg` and `load` are used in the base-class\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;124;03m \u001b[39;00m\n\u001b[1;32m 729\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 730\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mload\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodules\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodules\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 732\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mid\u001b[39m:\n\u001b[1;32m 733\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mid_code \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m] \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mid\u001b[39m)\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:385\u001b[0m, in \u001b[0;36mPipeline.__init__\u001b[0;34m(self, arg, load, modules)\u001b[0m\n\u001b[1;32m 382\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m load \u001b[38;5;129;01mand\u001b[39;00m PIPELINE_INI_SECTION \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39msections():\n\u001b[1;32m 383\u001b[0m module_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(PIPELINE_INI_SECTION,\n\u001b[1;32m 384\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodules\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39msplit()\n\u001b[0;32m--> 385\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\n\u001b[1;32m 386\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mModule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_options\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mroot_directory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 387\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mmodule_list\u001b[49m\n\u001b[1;32m 388\u001b[0m \u001b[43m \u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 389\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 390\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m []\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/pipeline.py:386\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 382\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m load \u001b[38;5;129;01mand\u001b[39;00m PIPELINE_INI_SECTION \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39msections():\n\u001b[1;32m 383\u001b[0m module_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(PIPELINE_INI_SECTION,\n\u001b[1;32m 384\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodules\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39msplit()\n\u001b[1;32m 385\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m--> 386\u001b[0m \u001b[43mmodule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mModule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_options\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mroot_directory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 387\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m module_name \u001b[38;5;129;01min\u001b[39;00m module_list\n\u001b[1;32m 388\u001b[0m ]\n\u001b[1;32m 389\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 390\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodules \u001b[38;5;241m=\u001b[39m []\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:376\u001b[0m, in \u001b[0;36mModule.from_options\u001b[0;34m(cls, module_name, options, root_directory)\u001b[0m\n\u001b[1;32m 373\u001b[0m exec_function \u001b[38;5;241m=\u001b[39m options\u001b[38;5;241m.\u001b[39mget(module_name, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfunction\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexecute\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 374\u001b[0m cleanup_function \u001b[38;5;241m=\u001b[39m options\u001b[38;5;241m.\u001b[39mget(module_name, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcleanup\u001b[39m\u001b[38;5;124m\"\u001b[39m, fallback\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcleanup\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 376\u001b[0m m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[43m \u001b[49m\u001b[43msetup_function\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexec_function\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcleanup_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 378\u001b[0m \u001b[43m \u001b[49m\u001b[43mroot_directory\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 380\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m m\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:103\u001b[0m, in \u001b[0;36mModule.__init__\u001b[0;34m(self, module_name, file_path, setup_function, execute_function, cleanup_function, rootpath)\u001b[0m\n\u001b[1;32m 100\u001b[0m filename \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(rootpath, filename)\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfilename \u001b[38;5;241m=\u001b[39m filename\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlibrary, language \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_library\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_python \u001b[38;5;241m=\u001b[39m (language \u001b[38;5;241m==\u001b[39m MODULE_LANG_PYTHON)\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_julia \u001b[38;5;241m=\u001b[39m (language \u001b[38;5;241m==\u001b[39m MODULE_LANG_JULIA)\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis/cosmosis/runtime/module.py:307\u001b[0m, in \u001b[0;36mModule.load_library\u001b[0;34m(filepath)\u001b[0m\n\u001b[1;32m 305\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, dirname)\n\u001b[1;32m 306\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 307\u001b[0m library \u001b[38;5;241m=\u001b[39m \u001b[38;5;28m__import__\u001b[39m(impname)\n\u001b[1;32m 308\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m 309\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SetupError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou specified a path \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m for a module. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 310\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mI looked for a python module there but \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 311\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwas unable to load it. Error was \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m 312\u001b[0m (filepath, error))\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/add_gammat_point_mass.py:8\u001b[0m\n\u001b[1;32m 6\u001b[0m path \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(current_dir, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m../../structure/projection/projection_tools\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 7\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mappend(path)\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgsl_wrappers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m GSLSpline\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcosmosis\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatablock\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m names\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcosmosis\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatablock\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m option_section\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:45\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m gsl\n\u001b[1;32m 44\u001b[0m \u001b[38;5;66;03m#global gsl library\u001b[39;00m\n\u001b[0;32m---> 45\u001b[0m gsl \u001b[38;5;241m=\u001b[39m \u001b[43mload_gsl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 46\u001b[0m c_dbl_array \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mctypeslib\u001b[38;5;241m.\u001b[39mndpointer(dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mfloat64, ndim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, flags\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mC_CONTIGUOUS\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 48\u001b[0m \u001b[38;5;66;03m#1d splines\u001b[39;00m\n", - "File \u001b[0;32m~/src/cosmosis/cosmosis-standard-library/shear/point_mass/../../structure/projection/projection_tools/gsl_wrappers.py:41\u001b[0m, in \u001b[0;36mload_gsl\u001b[0;34m(libfile)\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 40\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00merr\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 41\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(msg) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 42\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m gsl\n", - "\u001b[0;31mOSError\u001b[0m: dlopen(libgsl.so, 0x000A): tried: 'libgsl.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/lib/python3.11/lib-dynload/../../libgsl.so' (no such file), '/Users/jzuntz/src/cosmosis/env-dev/bin/../lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache), 'libgsl.so' (no such file), '/usr/local/lib/libgsl.so' (no such file), '/usr/lib/libgsl.so' (no such file, not in dyld cache) ** If you are using conda you might need to source cosmosis-configure, or otherwise you may need to set up GSL differently. **" + "name": "stdout", + "output_type": "stream", + "text": [ + "9 4 3\n", + "Including -0.5*|C| normalization in shear_ratio likelihood where |C| = -65.05000501487132\n", + "Setup all pipeline modules\n", + "\n", + "\n", + "Parameter Priors\n", + "----------------\n", + "cosmological_parameters--omega_m ~ U(0.1, 0.9)\n", + "cosmological_parameters--h0 ~ U(0.55, 0.91)\n", + "cosmological_parameters--omega_b ~ U(0.03, 0.07)\n", + "cosmological_parameters--n_s ~ U(0.87, 1.07)\n", + "cosmological_parameters--a_s ~ U(5e-10, 5e-09)\n", + "cosmological_parameters--w ~ delta(-1.0)\n", + "cosmological_parameters--mnu ~ U(0.06, 0.6)\n", + "cosmological_parameters--num_massive_neutrinos ~ delta(3)\n", + "cosmological_parameters--nnu ~ delta(3.046)\n", + "cosmological_parameters--omega_k ~ delta(0.0)\n", + "cosmological_parameters--tau ~ delta(0.0697186)\n", + "shear_calibration_parameters--m1 ~ N(-0.0063, 0.0091 ** 2) [-0.1 < x < 0.1]\n", + "shear_calibration_parameters--m2 ~ N(-0.0198, 0.0078 ** 2) [-0.1 < x < 0.1]\n", + "shear_calibration_parameters--m3 ~ N(-0.0241, 0.0076 ** 2) [-0.1 < x < 0.1]\n", + "shear_calibration_parameters--m4 ~ N(-0.0369, 0.0076 ** 2) [-0.1 < x < 0.1]\n", + "wl_photoz_errors--bias_1 ~ N(0.0, 0.018 ** 2) [-0.1 < x < 0.1]\n", + "wl_photoz_errors--bias_2 ~ N(0.0, 0.015 ** 2) [-0.1 < x < 0.1]\n", + "wl_photoz_errors--bias_3 ~ N(0.0, 0.011 ** 2) [-0.1 < x < 0.1]\n", + "wl_photoz_errors--bias_4 ~ N(0.0, 0.017 ** 2) [-0.1 < x < 0.1]\n", + "lens_photoz_errors--bias_1 ~ N(0.006, 0.004 ** 2) [-0.05 < x < 0.05]\n", + "lens_photoz_errors--bias_2 ~ N(0.001, 0.003 ** 2) [-0.05 < x < 0.05]\n", + "lens_photoz_errors--bias_3 ~ N(0.004, 0.003 ** 2) [-0.05 < x < 0.05]\n", + "lens_photoz_errors--bias_4 ~ N(-0.002, 0.005 ** 2) [-0.05 < x < 0.05]\n", + "lens_photoz_errors--bias_5 ~ N(-0.007, 0.01 ** 2) [-0.05 < x < 0.05]\n", + "lens_photoz_errors--width_1 ~ delta(1.0)\n", + "lens_photoz_errors--width_2 ~ delta(1.0)\n", + "lens_photoz_errors--width_3 ~ delta(1.0)\n", + "lens_photoz_errors--width_4 ~ delta(1.0)\n", + "lens_photoz_errors--width_5 ~ N(1.23, 0.054 ** 2) [0.1 < x < 1.9]\n", + "bias_lens--b1 ~ U(0.8, 3.0)\n", + "bias_lens--b2 ~ U(0.8, 3.0)\n", + "bias_lens--b3 ~ U(0.8, 3.0)\n", + "bias_lens--b4 ~ U(0.8, 3.0)\n", + "bias_lens--b5 ~ U(0.8, 3.0)\n", + "mag_alpha_lens--alpha_1 ~ delta(1.31)\n", + "mag_alpha_lens--alpha_2 ~ delta(-0.52)\n", + "mag_alpha_lens--alpha_3 ~ delta(0.34)\n", + "mag_alpha_lens--alpha_4 ~ delta(2.25)\n", + "mag_alpha_lens--alpha_5 ~ delta(1.97)\n", + "intrinsic_alignment_parameters--z_piv ~ delta(0.62)\n", + "intrinsic_alignment_parameters--a1 ~ U(-5.0, 5.0)\n", + "intrinsic_alignment_parameters--a2 ~ U(-5.0, 5.0)\n", + "intrinsic_alignment_parameters--alpha1 ~ U(-5.0, 5.0)\n", + "intrinsic_alignment_parameters--alpha2 ~ U(-5.0, 5.0)\n", + "intrinsic_alignment_parameters--bias_ta ~ U(0.0, 2.0)\n", + "\n" ] } ], @@ -1181,12 +1415,49 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "id": "0366aecc", "metadata": { "hidden": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0) cosmological_parameters--omega_m\n", + "1) cosmological_parameters--h0\n", + "2) cosmological_parameters--omega_b\n", + "3) cosmological_parameters--n_s\n", + "4) cosmological_parameters--a_s\n", + "5) cosmological_parameters--mnu\n", + "6) shear_calibration_parameters--m1\n", + "7) shear_calibration_parameters--m2\n", + "8) shear_calibration_parameters--m3\n", + "9) shear_calibration_parameters--m4\n", + "10) wl_photoz_errors--bias_1\n", + "11) wl_photoz_errors--bias_2\n", + "12) wl_photoz_errors--bias_3\n", + "13) wl_photoz_errors--bias_4\n", + "14) lens_photoz_errors--bias_1\n", + "15) lens_photoz_errors--bias_2\n", + "16) lens_photoz_errors--bias_3\n", + "17) lens_photoz_errors--bias_4\n", + "18) lens_photoz_errors--bias_5\n", + "19) lens_photoz_errors--width_5\n", + "20) bias_lens--b1\n", + "21) bias_lens--b2\n", + "22) bias_lens--b3\n", + "23) bias_lens--b4\n", + "24) bias_lens--b5\n", + "25) intrinsic_alignment_parameters--a1\n", + "26) intrinsic_alignment_parameters--a2\n", + "27) intrinsic_alignment_parameters--alpha1\n", + "28) intrinsic_alignment_parameters--alpha2\n", + "29) intrinsic_alignment_parameters--bias_ta\n" + ] + } + ], "source": [ "for i, p in enumerate(pipe.varied_params):\n", " print(f\"{i}) {p}\")\n", @@ -1207,12 +1478,115 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "id": "23260a6e", "metadata": { "hidden": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Om_b h^2 = 0.022853\n", + "Om_c h^2 = 0.119147\n", + "Om_nu h^2 = 0.000831\n", + "Om_darkenergy = 0.699946\n", + "Om_K = 0.000000\n", + "Om_m (inc Om_u) = 0.300002\n", + "100 theta (CosmoMC) = 1.043950\n", + "N_eff (total) = 3.046000\n", + " 3 nu, g= 3.0440 m_nu*c^2/k_B/T_nu0= 153.10 (m_nu= 0.026 eV)\n", + "Age of universe/GYr = 13.658\n", + "zstar = 1089.36\n", + "r_s(zstar)/Mpc = 144.28\n", + "100*theta = 1.044050\n", + "DA(zstar)/Gpc = 13.81899\n", + "zdrag = 1061.07\n", + "r_s(zdrag)/Mpc = 146.78\n", + "k_D(zstar) Mpc = 0.1414\n", + "100*theta_D = 0.160728\n", + "z_EQ (if v_nu=1) = 3393.12\n", + "k_EQ Mpc (if v_nu=1) = 0.010356\n", + "100*theta_EQ = 0.818631\n", + "100*theta_rs_EQ = 0.451897\n", + "tau_recomb/Mpc = 281.00 tau_now/Mpc = 14099.7\n", + "Om_b h^2 = 0.022853\n", + "Om_c h^2 = 0.119147\n", + "Om_nu h^2 = 0.000831\n", + "Om_darkenergy = 0.699946\n", + "Om_K = 0.000000\n", + "Om_m (inc Om_u) = 0.300002\n", + "100 theta (CosmoMC) = 1.043950\n", + "N_eff (total) = 3.046000\n", + " 3 nu, g= 3.0440 m_nu*c^2/k_B/T_nu0= 153.10 (m_nu= 0.026 eV)\n", + "Age of universe/GYr = 13.658\n", + "zstar = 1089.36\n", + "r_s(zstar)/Mpc = 144.28\n", + "100*theta = 1.044050\n", + "DA(zstar)/Gpc = 13.81899\n", + "zdrag = 1061.07\n", + "r_s(zdrag)/Mpc = 146.78\n", + "k_D(zstar) Mpc = 0.1414\n", + "100*theta_D = 0.160728\n", + "z_EQ (if v_nu=1) = 3393.12\n", + "k_EQ Mpc (if v_nu=1) = 0.010356\n", + "100*theta_EQ = 0.818631\n", + "100*theta_rs_EQ = 0.451897\n", + "tau_recomb/Mpc = 281.00 tau_now/Mpc = 14099.7\n", + "Om_b h^2 = 0.022853\n", + "Om_c h^2 = 0.119147\n", + "Om_nu h^2 = 0.000831\n", + "Om_darkenergy = 0.699946\n", + "Om_K = 0.000000\n", + "Om_m (inc Om_u) = 0.300002\n", + "100 theta (CosmoMC) = 1.043950\n", + "N_eff (total) = 3.046000\n", + " 3 nu, g= 3.0440 m_nu*c^2/k_B/T_nu0= 153.10 (m_nu= 0.026 eV)\n", + "Age of universe/GYr = 13.658\n", + "zstar = 1089.36\n", + "r_s(zstar)/Mpc = 144.28\n", + "100*theta = 1.044050\n", + "DA(zstar)/Gpc = 13.81899\n", + "zdrag = 1061.07\n", + "r_s(zdrag)/Mpc = 146.78\n", + "k_D(zstar) Mpc = 0.1414\n", + "100*theta_D = 0.160728\n", + "z_EQ (if v_nu=1) = 3393.12\n", + "k_EQ Mpc (if v_nu=1) = 0.010356\n", + "100*theta_EQ = 0.818631\n", + "100*theta_rs_EQ = 0.451897\n", + "tau_recomb/Mpc = 281.00 tau_now/Mpc = 14099.7\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jzuntz/src/cosmosis/cosmosis-standard-library/structure/projection/projection_tools/kernel.py:35: UserWarning: Some of your n(z) or other kernels are negative.\n", + " warnings.warn(\"Some of your n(z) or other kernels are negative.\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using likelihooods from first run:\n", + " - 2pt\n", + " - shear_ratio\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jzuntz/src/cosmosis/cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi.py:36: RuntimeWarning: divide by zero encountered in log\n", + " spec = np.exp(self.interp_func(np.log(angle)))\n", + "/Users/jzuntz/src/cosmosis/cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi.py:41: RuntimeWarning: divide by zero encountered in log\n", + " spec = self.interp_func(np.log(angle))\n" + ] + } + ], "source": [ "results = pipe.run_results(x)" ] @@ -1240,12 +1614,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "id": "6eb138d1", "metadata": { "hidden": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parameter vector = [3.00e-01 6.90e-01 4.80e-02 9.70e-01 2.19e-09] ... \n", + "\n", + "Likelihood = 6043.340736051251\n", + "Prior = 33.53219538473871\n", + "Posterior = 6076.87293143599\n", + "\n", + "('COSMOLOGICAL_PARAMETERS', 'SIGMA_8') = 0.8256313000769074\n", + "('COSMOLOGICAL_PARAMETERS', 'SIGMA_12') = 0.8065433411789026\n", + "('DATA_VECTOR', '2PT_CHI2') = 1251.9736545758915\n" + ] + } + ], "source": [ "print(f\"Parameter vector = {results.vector[:5]} ... \\n\")\n", "print(\"Likelihood = \", results.like)\n", @@ -1271,12 +1661,84 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "id": "a4a362b2", "metadata": { "hidden": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sections in the block:\n", + "- bias_lens\n", + "- cosmological_parameters\n", + "- data_vector\n", + "- distances\n", + "- fastpt\n", + "- galaxy_cl\n", + "- galaxy_cl_gg\n", + "- galaxy_intrinsic_cl\n", + "- galaxy_magnification_cl\n", + "- galaxy_shear_cl\n", + "- galaxy_shear_cl_gg\n", + "- galaxy_shear_xi\n", + "- galaxy_xi\n", + "- growth_parameters\n", + "- intrinsic_alignment_parameters\n", + "- intrinsic_power\n", + "- intrinsic_power_bb\n", + "- intrinsic_power_ee\n", + "- lens_photoz_errors\n", + "- likelihoods\n", + "- mag_alpha_lens\n", + "- magnification_cl\n", + "- magnification_intrinsic_cl\n", + "- magnification_shear_cl\n", + "- matter_intrinsic_power\n", + "- matter_power_lin\n", + "- matter_power_nl\n", + "- nz_lens\n", + "- nz_source\n", + "- priors\n", + "- recfast\n", + "- shear_calibration_parameters\n", + "- shear_cl\n", + "- shear_cl_bb\n", + "- shear_cl_eminusb\n", + "- shear_cl_eplusb\n", + "- shear_cl_gg\n", + "- shear_cl_gi\n", + "- shear_cl_ii\n", + "- shear_xi_minus\n", + "- shear_xi_plus\n", + "- sigma_crit_inv_lens_source\n", + "- wl_photoz_errors\n", + "In the shear_cl section we can find:\n", + "- auto_only\n", + "- bin_1_1\n", + "- bin_2_1\n", + "- bin_2_2\n", + "- bin_3_1\n", + "- bin_3_2\n", + "- bin_3_3\n", + "- bin_4_1\n", + "- bin_4_2\n", + "- bin_4_3\n", + "- bin_4_4\n", + "- ell\n", + "- is_auto\n", + "- nbin\n", + "- nbin_a\n", + "- nbin_b\n", + "- sample_a\n", + "- sample_b\n", + "- save_name\n", + "- sep_name\n" + ] + } + ], "source": [ "print(\"Sections in the block:\")\n", "for section in results.block.sections():\n", @@ -1299,12 +1761,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "id": "bd6702c0", "metadata": { "hidden": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "ell = results.block['shear_cl', 'ell']\n", "cl33 = results.block['shear_cl', 'bin_3_3']\n", @@ -1331,7 +1804,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 28, "id": "7ed624eb", "metadata": {}, "outputs": [ @@ -1365,92 +1838,93 @@ "Samples after cutting: 6600\n", "\n", "Marginalized mean, std-dev:\n", - " cosmological_parameters--omega_m = 0.305009 ± 0.0533921 \n", - " cosmological_parameters--h0 = 0.730751 ± 0.0126649 \n", - " cosmological_parameters--omega_k = -0.0172715 ± 0.142646 \n", - " supernova_params--m = -19.258 ± 0.0396296 \n", - " cosmological_parameters--ommh2 = 0.162871 ± 0.0288545 \n", + " cosmological_parameters--omega_m = 0.302986 ± 0.0541066 \n", + " cosmological_parameters--h0 = 0.730551 ± 0.0131537 \n", + " cosmological_parameters--omega_k = -0.0183609 ± 0.13328 \n", + " supernova_params--m = -19.2596 ± 0.0408133 \n", + " cosmological_parameters--ommh2 = 0.161674 ± 0.029039 \n", " prior = 2.40795 ± 4.44089e-16 \n", - " post = -20.0971 ± 1.23266 \n", + " post = -20.1041 ± 1.26664 \n", "\n", "\n", "Marginalized 1D peak, 68% asymmetric error bars:\n", - " cosmological_parameters--omega_m = 0.31995 + 0.0606853 - 0.0524976 \n", - " cosmological_parameters--h0 = 0.727857 + 0.0154821 - 0.00960961 \n", - " cosmological_parameters--omega_k = -0.100712 + 0.201221 - 0.0988244 \n", - " supernova_params--m = -19.264 + 0.0438063 - 0.0363272 \n", - " cosmological_parameters--ommh2 = 0.174758 + 0.0228206 - 0.0384195 \n", + " cosmological_parameters--omega_m = 0.322399 + 0.0503383 - 0.0631697 \n", + " cosmological_parameters--h0 = 0.727791 + 0.016366 - 0.00940575 \n", + " cosmological_parameters--omega_k = -0.0632906 + 0.157134 - 0.129546 \n", + " supernova_params--m = -19.2558 + 0.0373545 - 0.0413164 \n", + " cosmological_parameters--ommh2 = 0.176711 + 0.0197324 - 0.0403756 \n", " prior = nan + nan - nan \n", - " post = -19.2037 + 0.610945 - 1.38267 \n", + " post = -19.2547 + 0.637272 - 1.31703 \n", "\n", "\n", "Marginalized 1D peak, 95% asymmetric error bars:\n", - " cosmological_parameters--omega_m = 0.31995 + 0.0756157 - 0.114146 \n", - " cosmological_parameters--h0 = 0.727857 + 0.0270493 - 0.0227783 \n", - " cosmological_parameters--omega_k = -0.100712 + 0.365531 - 0.155976 \n", - " supernova_params--m = -19.264 + 0.0822704 - 0.0710517 \n", - " cosmological_parameters--ommh2 = 0.174758 + 0.0375529 - 0.0661509 \n", + " cosmological_parameters--omega_m = 0.322399 + 0.0745204 - 0.120417 \n", + " cosmological_parameters--h0 = 0.727791 + 0.0282173 - 0.0235144 \n", + " cosmological_parameters--omega_k = -0.0632906 + 0.295076 - 0.189521 \n", + " supernova_params--m = -19.2558 + 0.0724452 - 0.0860286 \n", + " cosmological_parameters--ommh2 = 0.176711 + 0.0367327 - 0.0713403 \n", " prior = nan + nan - nan \n", - " post = -19.2037 + 0.884263 - 3.27981 \n", + " post = -19.2547 + 0.934665 - 3.33506 \n", "\n", "Marginalized median, std-dev:\n", - " cosmological_parameters--omega_m = 0.311417 ± 0.0533921\n", - " cosmological_parameters--h0 = 0.730333 ± 0.0126649\n", - " cosmological_parameters--omega_k = -0.0331942 ± 0.142646\n", - " supernova_params--m = -19.2592 ± 0.0396296\n", - " cosmological_parameters--ommh2 = 0.165954 ± 0.0288545\n", + " cosmological_parameters--omega_m = 0.309229 ± 0.0541066\n", + " cosmological_parameters--h0 = 0.730382 ± 0.0131537\n", + " cosmological_parameters--omega_k = -0.0243254 ± 0.13328\n", + " supernova_params--m = -19.2585 ± 0.0408133\n", + " cosmological_parameters--ommh2 = 0.164641 ± 0.029039\n", " prior = 2.40795 ± 4.44089e-16\n", - " post = -19.8488 ± 1.23266\n", + " post = -19.8216 ± 1.26664\n", "\n", "Best likelihood:\n", - " cosmological_parameters--omega_m = 0.324658\n", - " cosmological_parameters--h0 = 0.732723\n", - " cosmological_parameters--omega_k = -0.0773718\n", - " supernova_params--m = -19.2554\n", - " cosmological_parameters--ommh2 = 0.174303\n", + " cosmological_parameters--omega_m = 0.327808\n", + " cosmological_parameters--h0 = 0.732015\n", + " cosmological_parameters--omega_k = -0.0845155\n", + " supernova_params--m = -19.2582\n", + " cosmological_parameters--ommh2 = 0.175654\n", " prior = 2.40795\n", - " post = -18.3194\n", + " post = -18.3201\n", "\n", "95% lower limits:\n", - " cosmological_parameters--omega_m > 0.210713\n", - " cosmological_parameters--h0 > 0.709762\n", - " cosmological_parameters--omega_k > -0.230741\n", - " supernova_params--m > -19.3239\n", - " cosmological_parameters--ommh2 > 0.112539\n", + " cosmological_parameters--omega_m > 0.204332\n", + " cosmological_parameters--h0 > 0.708509\n", + " cosmological_parameters--omega_k > -0.22646\n", + " supernova_params--m > -19.3297\n", + " cosmological_parameters--ommh2 > 0.109382\n", " prior > 2.40795\n", - " post > -22.4927\n", + " post > -22.607\n", "\n", "95% upper limits:\n", - " cosmological_parameters--omega_m < 0.384887\n", - " cosmological_parameters--h0 < 0.751041\n", - " cosmological_parameters--omega_k < 0.23621\n", - " supernova_params--m < -19.1913\n", - " cosmological_parameters--ommh2 < 0.206728\n", + " cosmological_parameters--omega_m < 0.383011\n", + " cosmological_parameters--h0 < 0.751846\n", + " cosmological_parameters--omega_k < 0.214109\n", + " supernova_params--m < -19.196\n", + " cosmological_parameters--ommh2 < 0.205826\n", " prior < 2.40795\n", - " post < -18.6314\n", + " post < -18.636\n", "\n", "68% lower limits:\n", - " cosmological_parameters--omega_m > 0.281138\n", - " cosmological_parameters--h0 > 0.724773\n", - " cosmological_parameters--omega_k > -0.103264\n", - " supernova_params--m > -19.276\n", - " cosmological_parameters--ommh2 > 0.148298\n", + " cosmological_parameters--omega_m > 0.277602\n", + " cosmological_parameters--h0 > 0.724813\n", + " cosmological_parameters--omega_k > -0.0877546\n", + " supernova_params--m > -19.2771\n", + " cosmological_parameters--ommh2 > 0.147944\n", " prior > 2.40795\n", - " post > -20.4055\n", + " post > -20.3849\n", "\n", "68% upper limits:\n", - " cosmological_parameters--omega_m < 0.335156\n", - " cosmological_parameters--h0 < 0.736908\n", - " cosmological_parameters--omega_k < 0.0475408\n", - " supernova_params--m < -19.2404\n", - " cosmological_parameters--ommh2 < 0.179473\n", + " cosmological_parameters--omega_m < 0.334703\n", + " cosmological_parameters--h0 < 0.736342\n", + " cosmological_parameters--omega_k < 0.0431691\n", + " supernova_params--m < -19.2407\n", + " cosmological_parameters--ommh2 < 0.178058\n", " prior < 2.40795\n", - " post < -19.3674\n", + " post < -19.3507\n", "\n", "\n", "#You should cite these papers in any publication based on this pipeline.\n", " Riess et al, ApJLett, 908, 1\n", " Scolnic et al, ApJ, 859, 28\n", + " The Astropy Collaboration et al 2022 ApJ 935 167\n", "\n", "Finalizing:\n" ] @@ -1459,7 +1933,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/plotting/kde.py:33: RuntimeWarning: invalid value encountered in divide\n", + "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/plotting/kde.py:29: RuntimeWarning: invalid value encountered in divide\n", " normalized_points.append((column-col_mean)/col_std)\n" ] } @@ -1478,7 +1952,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 29, "id": "4436c221", "metadata": {}, "outputs": [ @@ -1509,7 +1983,9 @@ "trace_cosmological_parameters--ommh2\n", "trace_prior\n", "trace_post\n", - "kind\n", + "means\n", + "medians\n", + "modes\n", "l95\n", "u95\n", "l68\n", @@ -1532,18 +2008,18 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "id": "bcceed70", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] }, - "execution_count": 17, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1555,7 +2031,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 31, "id": "c89448f3", "metadata": {}, "outputs": [ @@ -1563,33 +2039,33 @@ "data": { "text/html": [ "
Table length=7\n", - "
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parameteru95data_set
str32float64str5
cosmological_parameters--omega_m0.38765023325698283chain
cosmological_parameters--h00.7530415996341053chain
cosmological_parameters--omega_k0.21140965246061597chain
supernova_params--m-19.18666222422097chain
cosmological_parameters--ommh20.20800959528261384chain
prior2.407945608651871chain
post-18.628022854543236chain
str32float64str7
cosmological_parameters--omega_m0.38301120583904713chain_0
cosmological_parameters--h00.7518455907318123chain_0
cosmological_parameters--omega_k0.2141087565451413chain_0
supernova_params--m-19.196005540245203chain_0
cosmological_parameters--ommh20.20582640767777718chain_0
prior2.407945608651871chain_0
post-18.63596685583259chain_0
" ], "text/plain": [ "\n", " parameter u95 data_set\n", - " str32 float64 str5 \n", + " str32 float64 str7 \n", "-------------------------------- ------------------- --------\n", - "cosmological_parameters--omega_m 0.38765023325698283 chain\n", - " cosmological_parameters--h0 0.7530415996341053 chain\n", - "cosmological_parameters--omega_k 0.21140965246061597 chain\n", - " supernova_params--m -19.18666222422097 chain\n", - " cosmological_parameters--ommh2 0.20800959528261384 chain\n", - " prior 2.407945608651871 chain\n", - " post -18.628022854543236 chain" + "cosmological_parameters--omega_m 0.38301120583904713 chain_0\n", + " cosmological_parameters--h0 0.7518455907318123 chain_0\n", + "cosmological_parameters--omega_k 0.2141087565451413 chain_0\n", + " supernova_params--m -19.196005540245203 chain_0\n", + " cosmological_parameters--ommh2 0.20582640767777718 chain_0\n", + " prior 2.407945608651871 chain_0\n", + " post -18.63596685583259 chain_0" ] }, - "execution_count": 16, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1601,7 +2077,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 32, "id": "a6d2f129", "metadata": { "scrolled": true @@ -1637,92 +2113,93 @@ "Samples after cutting: 6600\n", "\n", "Marginalized mean, std-dev:\n", - " cosmological_parameters--omega_m = 0.304649 ± 0.0556248 \n", - " cosmological_parameters--h0 = 0.731686 ± 0.0123637 \n", - " cosmological_parameters--omega_k = -0.0254824 ± 0.140149 \n", - " supernova_params--m = -19.2564 ± 0.0381079 \n", - " cosmological_parameters--ommh2 = 0.163157 ± 0.0304097 \n", + " cosmological_parameters--omega_m = 0.302986 ± 0.0541066 \n", + " cosmological_parameters--h0 = 0.730551 ± 0.0131537 \n", + " cosmological_parameters--omega_k = -0.0183609 ± 0.13328 \n", + " supernova_params--m = -19.2596 ± 0.0408133 \n", + " cosmological_parameters--ommh2 = 0.161674 ± 0.029039 \n", " prior = 2.40795 ± 4.44089e-16 \n", - " post = -20.0388 ± 1.17424 \n", + " post = -20.1041 ± 1.26664 \n", "\n", "\n", "Marginalized 1D peak, 68% asymmetric error bars:\n", - " cosmological_parameters--omega_m = 0.328567 + 0.0541268 - 0.0659363 \n", - " cosmological_parameters--h0 = 0.727828 + 0.0159915 - 0.00903049 \n", - " cosmological_parameters--omega_k = -0.0679525 + 0.155049 - 0.13702 \n", - " supernova_params--m = -19.2672 + 0.0485798 - 0.0266032 \n", - " cosmological_parameters--ommh2 = 0.170741 + 0.030843 - 0.0335914 \n", + " cosmological_parameters--omega_m = 0.322399 + 0.0503383 - 0.0631697 \n", + " cosmological_parameters--h0 = 0.727791 + 0.016366 - 0.00940575 \n", + " cosmological_parameters--omega_k = -0.0632906 + 0.157134 - 0.129546 \n", + " supernova_params--m = -19.2558 + 0.0373545 - 0.0413164 \n", + " cosmological_parameters--ommh2 = 0.176711 + 0.0197324 - 0.0403756 \n", " prior = nan + nan - nan \n", - " post = -19.3665 + 0.75886 - 1.14636 \n", + " post = -19.2547 + 0.637272 - 1.31703 \n", "\n", "\n", "Marginalized 1D peak, 95% asymmetric error bars:\n", - " cosmological_parameters--omega_m = 0.328567 + 0.0703649 - 0.121539 \n", - " cosmological_parameters--h0 = 0.727828 + 0.0276559 - 0.0195661 \n", - " cosmological_parameters--omega_k = -0.0679525 + 0.32452 - 0.204328 \n", - " supernova_params--m = -19.2672 + 0.0873279 - 0.0618814 \n", - " cosmological_parameters--ommh2 = 0.170741 + 0.0451958 - 0.0668775 \n", + " cosmological_parameters--omega_m = 0.322399 + 0.0745204 - 0.120417 \n", + " cosmological_parameters--h0 = 0.727791 + 0.0282173 - 0.0235144 \n", + " cosmological_parameters--omega_k = -0.0632906 + 0.295076 - 0.189521 \n", + " supernova_params--m = -19.2558 + 0.0724452 - 0.0860286 \n", + " cosmological_parameters--ommh2 = 0.176711 + 0.0367327 - 0.0713403 \n", " prior = nan + nan - nan \n", - " post = -19.3665 + 1.03334 - 3.01929 \n", + " post = -19.2547 + 0.934665 - 3.33506 \n", "\n", "Marginalized median, std-dev:\n", - " cosmological_parameters--omega_m = 0.310788 ± 0.0556248\n", - " cosmological_parameters--h0 = 0.731529 ± 0.0123637\n", - " cosmological_parameters--omega_k = -0.0383643 ± 0.140149\n", - " supernova_params--m = -19.2572 ± 0.0381079\n", - " cosmological_parameters--ommh2 = 0.16589 ± 0.0304097\n", + " cosmological_parameters--omega_m = 0.309229 ± 0.0541066\n", + " cosmological_parameters--h0 = 0.730382 ± 0.0131537\n", + " cosmological_parameters--omega_k = -0.0243254 ± 0.13328\n", + " supernova_params--m = -19.2585 ± 0.0408133\n", + " cosmological_parameters--ommh2 = 0.164641 ± 0.029039\n", " prior = 2.40795 ± 4.44089e-16\n", - " post = -19.7694 ± 1.17424\n", + " post = -19.8216 ± 1.26664\n", "\n", "Best likelihood:\n", - " cosmological_parameters--omega_m = 0.327605\n", - " cosmological_parameters--h0 = 0.729913\n", - " cosmological_parameters--omega_k = -0.0791506\n", - " supernova_params--m = -19.2634\n", - " cosmological_parameters--ommh2 = 0.174539\n", + " cosmological_parameters--omega_m = 0.327808\n", + " cosmological_parameters--h0 = 0.732015\n", + " cosmological_parameters--omega_k = -0.0845155\n", + " supernova_params--m = -19.2582\n", + " cosmological_parameters--ommh2 = 0.175654\n", " prior = 2.40795\n", - " post = -18.3332\n", + " post = -18.3201\n", "\n", "95% lower limits:\n", - " cosmological_parameters--omega_m > 0.207839\n", - " cosmological_parameters--h0 > 0.711488\n", - " cosmological_parameters--omega_k > -0.23771\n", - " supernova_params--m > -19.3183\n", - " cosmological_parameters--ommh2 > 0.11001\n", + " cosmological_parameters--omega_m > 0.204332\n", + " cosmological_parameters--h0 > 0.708509\n", + " cosmological_parameters--omega_k > -0.22646\n", + " supernova_params--m > -19.3297\n", + " cosmological_parameters--ommh2 > 0.109382\n", " prior > 2.40795\n", - " post > -22.3766\n", + " post > -22.607\n", "\n", "95% upper limits:\n", - " cosmological_parameters--omega_m < 0.388084\n", - " cosmological_parameters--h0 < 0.751922\n", - " cosmological_parameters--omega_k < 0.230692\n", - " supernova_params--m < -19.1939\n", - " cosmological_parameters--ommh2 < 0.208316\n", + " cosmological_parameters--omega_m < 0.383011\n", + " cosmological_parameters--h0 < 0.751846\n", + " cosmological_parameters--omega_k < 0.214109\n", + " supernova_params--m < -19.196\n", + " cosmological_parameters--ommh2 < 0.205826\n", " prior < 2.40795\n", - " post < -18.6503\n", + " post < -18.636\n", "\n", "68% lower limits:\n", - " cosmological_parameters--omega_m > 0.278207\n", - " cosmological_parameters--h0 > 0.725542\n", - " cosmological_parameters--omega_k > -0.103731\n", - " supernova_params--m > -19.2747\n", - " cosmological_parameters--ommh2 > 0.148555\n", + " cosmological_parameters--omega_m > 0.277602\n", + " cosmological_parameters--h0 > 0.724813\n", + " cosmological_parameters--omega_k > -0.0877546\n", + " supernova_params--m > -19.2771\n", + " cosmological_parameters--ommh2 > 0.147944\n", " prior > 2.40795\n", - " post > -20.3197\n", + " post > -20.3849\n", "\n", "68% upper limits:\n", - " cosmological_parameters--omega_m < 0.337215\n", - " cosmological_parameters--h0 < 0.737448\n", - " cosmological_parameters--omega_k < 0.0393672\n", - " supernova_params--m < -19.2378\n", - " cosmological_parameters--ommh2 < 0.180616\n", + " cosmological_parameters--omega_m < 0.334703\n", + " cosmological_parameters--h0 < 0.736342\n", + " cosmological_parameters--omega_k < 0.0431691\n", + " supernova_params--m < -19.2407\n", + " cosmological_parameters--ommh2 < 0.178058\n", " prior < 2.40795\n", - " post < -19.3385\n", + " post < -19.3507\n", "\n", "\n", "#You should cite these papers in any publication based on this pipeline.\n", - " Scolnic et al, ApJ, 859, 28\n", " Riess et al, ApJLett, 908, 1\n", + " Scolnic et al, ApJ, 859, 28\n", + " The Astropy Collaboration et al 2022 ApJ 935 167\n", "\n", " - 1D plot cosmological_parameters--omega_m\n", " - 1D plot cosmological_parameters--h0\n", @@ -1737,7 +2214,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/plotting/kde.py:33: RuntimeWarning: invalid value encountered in divide\n", + "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/plotting/kde.py:29: RuntimeWarning: invalid value encountered in divide\n", " normalized_points.append((column-col_mean)/col_std)\n" ] }, @@ -1754,138 +2231,116 @@ " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_m)\n", " (making cosmological_parameters--ommh2 vs cosmological_parameters--h0)\n", " (making cosmological_parameters--ommh2 vs cosmological_parameters--omega_k)\n", - "Failed in one of the postprocessing steps: \n", - "Here is the error stack:\n", - "Traceback (most recent call last):\n", - " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/postprocess_base.py\", line 220, in run\n", - " files += e.run()\n", - " ^^^^^^^\n", - " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/plots.py\", line 509, in run\n", - " return self.run_1d() + self.run_2d()\n", - " ^^^^^^^^^^^^^\n", - " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/plots.py\", line 831, in run_2d\n", - " filenames.append(self.make_corner_plot())\n", - " ^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/plots.py\", line 642, in make_corner_plot\n", - " for j in range(nparam):\n", - " ^\n", - "UnboundLocalError: cannot access local variable 'axes' where it is not associated with a value\n", - "\n", " - Trace plot cosmological_parameters--omega_m\n", " - Trace plot cosmological_parameters--h0\n", " - Trace plot cosmological_parameters--omega_k\n", " - Trace plot supernova_params--m\n", " - Trace plot cosmological_parameters--ommh2\n", " - Trace plot prior\n", - " - Trace plot post\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/utils.py:42: RuntimeWarning: invalid value encountered in divide\n", - " x = (v-mu)/sigma\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + " - Trace plot post\n", "Samples after cutting: 3600\n", "\n", "Marginalized mean, std-dev:\n", - " cosmological_parameters--omega_m = 0.301587 ± 0.0564811 \n", - " cosmological_parameters--h0 = 0.730941 ± 0.0110451 \n", - " cosmological_parameters--omega_k = -0.0154204 ± 0.140895 \n", - " supernova_params--m = -19.2581 ± 0.0341057 \n", - " cosmological_parameters--ommh2 = 0.161132 ± 0.0304644 \n", + " cosmological_parameters--omega_m = 0.299763 ± 0.0550524 \n", + " cosmological_parameters--h0 = 0.7319 ± 0.0130927 \n", + " cosmological_parameters--omega_k = -0.010462 ± 0.134415 \n", + " supernova_params--m = -19.2552 ± 0.0403456 \n", + " cosmological_parameters--ommh2 = 0.160661 ± 0.0301993 \n", " prior = 2.40795 ± 4.44089e-16 \n", - " post = -20.0022 ± 1.13491 \n", + " post = -20.0078 ± 1.16252 \n", "\n", "\n", "Marginalized 1D peak, 68% asymmetric error bars:\n", - " cosmological_parameters--omega_m = 0.329059 + 0.0511745 - 0.0733173 \n", - " cosmological_parameters--h0 = 0.728882 + 0.0124591 - 0.00883178 \n", - " cosmological_parameters--omega_k = -0.0823756 + 0.186299 - 0.111779 \n", - " supernova_params--m = -19.2641 + 0.0381559 - 0.0260812 \n", - " cosmological_parameters--ommh2 = 0.169385 + 0.0285808 - 0.0375304 \n", + " cosmological_parameters--omega_m = 0.320919 + 0.0488578 - 0.0671178 \n", + " cosmological_parameters--h0 = 0.734608 + 0.0111377 - 0.0146815 \n", + " cosmological_parameters--omega_k = -0.0575368 + 0.161652 - 0.125729 \n", + " supernova_params--m = -19.2532 + 0.042828 - 0.0368646 \n", + " cosmological_parameters--ommh2 = 0.179443 + 0.0173038 - 0.0449292 \n", " prior = nan + nan - nan \n", - " post = -19.2808 + 0.651027 - 1.18368 \n", + " post = -19.3693 + 0.76971 - 1.10174 \n", "\n", "\n", "Marginalized 1D peak, 95% asymmetric error bars:\n", - " cosmological_parameters--omega_m = 0.329059 + 0.0693808 - 0.127444 \n", - " cosmological_parameters--h0 = 0.728882 + 0.0242874 - 0.0201869 \n", - " cosmological_parameters--omega_k = -0.0823756 + 0.344953 - 0.179087 \n", - " supernova_params--m = -19.2641 + 0.0724478 - 0.0627881 \n", - " cosmological_parameters--ommh2 = 0.169385 + 0.0459025 - 0.0661112 \n", + " cosmological_parameters--omega_m = 0.320919 + 0.0745204 - 0.124365 \n", + " cosmological_parameters--h0 = 0.734608 + 0.0221067 - 0.0295318 \n", + " cosmological_parameters--omega_k = -0.0575368 + 0.300552 - 0.187995 \n", + " supernova_params--m = -19.2532 + 0.0710186 - 0.0851139 \n", + " cosmological_parameters--ommh2 = 0.179443 + 0.0349112 - 0.078019 \n", " prior = nan + nan - nan \n", - " post = -19.2808 + 0.932152 - 2.92962 \n", + " post = -19.3693 + 1.02628 - 2.9581 \n", "\n", "Marginalized median, std-dev:\n", - " cosmological_parameters--omega_m = 0.306149 ± 0.0564811\n", - " cosmological_parameters--h0 = 0.730876 ± 0.0110451\n", - " cosmological_parameters--omega_k = -0.02707 ± 0.140895\n", - " supernova_params--m = -19.2582 ± 0.0341057\n", - " cosmological_parameters--ommh2 = 0.163162 ± 0.0304644\n", + " cosmological_parameters--omega_m = 0.305231 ± 0.0550524\n", + " cosmological_parameters--h0 = 0.732449 ± 0.0130927\n", + " cosmological_parameters--omega_k = -0.0195219 ± 0.134415\n", + " supernova_params--m = -19.254 ± 0.0403456\n", + " cosmological_parameters--ommh2 = 0.162955 ± 0.0301993\n", " prior = 2.40795 ± 4.44089e-16\n", - " post = -19.7525 ± 1.13491\n", + " post = -19.7598 ± 1.16252\n", "\n", "Best likelihood:\n", - " cosmological_parameters--omega_m = 0.337955\n", - " cosmological_parameters--h0 = 0.73113\n", - " cosmological_parameters--omega_k = -0.0973123\n", - " supernova_params--m = -19.2583\n", - " cosmological_parameters--ommh2 = 0.180654\n", + " cosmological_parameters--omega_m = 0.329177\n", + " cosmological_parameters--h0 = 0.730541\n", + " cosmological_parameters--omega_k = -0.077454\n", + " supernova_params--m = -19.2594\n", + " cosmological_parameters--ommh2 = 0.175679\n", " prior = 2.40795\n", - " post = -18.3487\n", + " post = -18.343\n", "\n", "95% lower limits:\n", - " cosmological_parameters--omega_m > 0.204727\n", - " cosmological_parameters--h0 > 0.71255\n", - " cosmological_parameters--omega_k > -0.232776\n", - " supernova_params--m > -19.313\n", - " cosmological_parameters--ommh2 > 0.108027\n", + " cosmological_parameters--omega_m > 0.200721\n", + " cosmological_parameters--h0 > 0.710179\n", + " cosmological_parameters--omega_k > -0.216103\n", + " supernova_params--m > -19.3257\n", + " cosmological_parameters--ommh2 > 0.107069\n", " prior > 2.40795\n", - " post > -22.2095\n", + " post > -22.3247\n", "\n", "95% upper limits:\n", - " cosmological_parameters--omega_m < 0.38488\n", - " cosmological_parameters--h0 < 0.74927\n", - " cosmological_parameters--omega_k < 0.233488\n", - " supernova_params--m < -19.2035\n", - " cosmological_parameters--ommh2 < 0.207794\n", + " cosmological_parameters--omega_m < 0.381794\n", + " cosmological_parameters--h0 < 0.752818\n", + " cosmological_parameters--omega_k < 0.219644\n", + " supernova_params--m < -19.1918\n", + " cosmological_parameters--ommh2 < 0.207129\n", " prior < 2.40795\n", - " post < -18.6543\n", + " post < -18.6145\n", "\n", "68% lower limits:\n", - " cosmological_parameters--omega_m > 0.27244\n", - " cosmological_parameters--h0 > 0.725993\n", - " cosmological_parameters--omega_k > -0.0945538\n", - " supernova_params--m > -19.2733\n", - " cosmological_parameters--ommh2 > 0.144358\n", + " cosmological_parameters--omega_m > 0.27265\n", + " cosmological_parameters--h0 > 0.726193\n", + " cosmological_parameters--omega_k > -0.0835794\n", + " supernova_params--m > -19.2712\n", + " cosmological_parameters--ommh2 > 0.145614\n", " prior > 2.40795\n", - " post > -20.2432\n", + " post > -20.2736\n", "\n", "68% upper limits:\n", - " cosmological_parameters--omega_m < 0.335222\n", - " cosmological_parameters--h0 < 0.736165\n", - " cosmological_parameters--omega_k < 0.0502457\n", - " supernova_params--m < -19.2419\n", - " cosmological_parameters--ommh2 < 0.178901\n", + " cosmological_parameters--omega_m < 0.331442\n", + " cosmological_parameters--h0 < 0.737853\n", + " cosmological_parameters--omega_k < 0.0552775\n", + " supernova_params--m < -19.2365\n", + " cosmological_parameters--ommh2 < 0.178276\n", " prior < 2.40795\n", - " post < -19.3174\n", + " post < -19.3268\n", "\n", "NOT saving more than one covariance matrix - just using first ini file\n", "NOT saving more than one proposal matrix - just using first ini file\n", "\n", "#You should cite these papers in any publication based on this pipeline.\n", - " Scolnic et al, ApJ, 859, 28\n", " Riess et al, ApJLett, 908, 1\n", + " Scolnic et al, ApJ, 859, 28\n", + " The Astropy Collaboration et al 2022 ApJ 935 167\n", "\n", "Finalizing:\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jzuntz/src/cosmosis/cosmosis/cosmosis/postprocessing/utils.py:42: RuntimeWarning: invalid value encountered in divide\n", + " x = (v-mu)/sigma\n" + ] } ], "source": [ @@ -1895,18 +2350,18 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 33, "id": "e497a95d-60d0-4b59-8514-bd6e11aa8c0f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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parametermodessigmadata_set
str32float64float64str7
cosmological_parameters--omega_m0.319949645453632250.05339205322081655chain_0
cosmological_parameters--h00.72785728651883310.012664931086349198chain_0
cosmological_parameters--omega_k-0.100712497936456060.14264626368721645chain_0
supernova_params--m-19.263966114333770.03962964324916038chain_0
cosmological_parameters--ommh20.17475764054570260.02885445154091225chain_0
priornan4.440892098500626e-16chain_0
post-19.203676042863011.2326623040959381chain_0
cosmological_parameters--omega_m0.320283557844742940.054694867438605375chain_1
cosmological_parameters--h00.72652390291299120.013321152012462837chain_1
cosmological_parameters--omega_k-0.095698544136362880.14533913167350318chain_1
supernova_params--m-19.261294998966290.04076150617843129chain_1
cosmological_parameters--ommh20.17324673865012190.0295030533160544chain_1
priornan4.440892098500626e-16chain_1
post-19.80189445313951.2288924065692421chain_1
str32float64float64str8
cosmological_parameters--omega_m0.322399383087727860.05410661160232988Emcee
cosmological_parameters--h00.72779127139843150.013153718017527035Emcee
cosmological_parameters--omega_k-0.063290603889114280.1332801929562442Emcee
supernova_params--m-19.2558152968542270.040813306515946855Emcee
cosmological_parameters--ommh20.176710602918255220.02903896496405144Emcee
priornan4.440892098500626e-16Emcee
post-19.2547397859174971.2666418795087506Emcee
cosmological_parameters--omega_m0.32091884437545560.05505239073474754Nautilus
cosmological_parameters--h00.73460848448442560.013092732514922002Nautilus
cosmological_parameters--omega_k-0.0575368258882873740.13441452473640203Nautilus
supernova_params--m-19.2532407024500040.040345642878508954Nautilus
cosmological_parameters--ommh20.179442785800466350.030199321294975524Nautilus
priornan4.440892098500626e-16Nautilus
post-19.369307474561851.1625172113135325Nautilus
" ], "text/plain": [ "\n", - " parameter modes sigma data_set\n", - " str32 float64 float64 str7 \n", - "-------------------------------- -------------------- --------------------- --------\n", - "cosmological_parameters--omega_m 0.31994964545363225 0.05339205322081655 chain_0\n", - " cosmological_parameters--h0 0.7278572865188331 0.012664931086349198 chain_0\n", - "cosmological_parameters--omega_k -0.10071249793645606 0.14264626368721645 chain_0\n", - " supernova_params--m -19.26396611433377 0.03962964324916038 chain_0\n", - " cosmological_parameters--ommh2 0.1747576405457026 0.02885445154091225 chain_0\n", - " prior nan 4.440892098500626e-16 chain_0\n", - " post -19.20367604286301 1.2326623040959381 chain_0\n", - "cosmological_parameters--omega_m 0.32028355784474294 0.054694867438605375 chain_1\n", - " cosmological_parameters--h0 0.7265239029129912 0.013321152012462837 chain_1\n", - "cosmological_parameters--omega_k -0.09569854413636288 0.14533913167350318 chain_1\n", - " supernova_params--m -19.26129499896629 0.04076150617843129 chain_1\n", - " cosmological_parameters--ommh2 0.1732467386501219 0.0295030533160544 chain_1\n", - " prior nan 4.440892098500626e-16 chain_1\n", - " post -19.8018944531395 1.2288924065692421 chain_1" + " parameter modes sigma data_set\n", + " str32 float64 float64 str8 \n", + "-------------------------------- --------------------- --------------------- --------\n", + "cosmological_parameters--omega_m 0.32239938308772786 0.05410661160232988 Emcee\n", + " cosmological_parameters--h0 0.7277912713984315 0.013153718017527035 Emcee\n", + "cosmological_parameters--omega_k -0.06329060388911428 0.1332801929562442 Emcee\n", + " supernova_params--m -19.255815296854227 0.040813306515946855 Emcee\n", + " cosmological_parameters--ommh2 0.17671060291825522 0.02903896496405144 Emcee\n", + " prior nan 4.440892098500626e-16 Emcee\n", + " post -19.254739785917497 1.2666418795087506 Emcee\n", + "cosmological_parameters--omega_m 0.3209188443754556 0.05505239073474754 Nautilus\n", + " cosmological_parameters--h0 0.7346084844844256 0.013092732514922002 Nautilus\n", + "cosmological_parameters--omega_k -0.057536825888287374 0.13441452473640203 Nautilus\n", + " supernova_params--m -19.253240702450004 0.040345642878508954 Nautilus\n", + " cosmological_parameters--ommh2 0.17944278580046635 0.030199321294975524 Nautilus\n", + " prior nan 4.440892098500626e-16 Nautilus\n", + " post -19.36930747456185 1.1625172113135325 Nautilus" ] }, - "execution_count": 15, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } From b3dc64a40174b07440d6131126ea44687b995700 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Wed, 26 Jul 2023 16:23:13 +0100 Subject: [PATCH 12/25] add DES campaign file --- examples/des-campaign.yml | 148 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 148 insertions(+) create mode 100644 examples/des-campaign.yml diff --git a/examples/des-campaign.yml b/examples/des-campaign.yml new file mode 100644 index 00000000..cc2bf25c --- /dev/null +++ b/examples/des-campaign.yml @@ -0,0 +1,148 @@ +output_dir: "./output/des-y3-campaign" + +components: + maglim_cuts: + params: + - set 2pt_like angle_range_xip_1_1 2.475 999.0 + - set 2pt_like angle_range_xip_1_2 6.21691892 999.0 + - set 2pt_like angle_range_xip_1_3 6.21691892 999.0 + - set 2pt_like angle_range_xip_1_4 4.93827423 999.0 + - set 2pt_like angle_range_xip_2_2 6.21691892 999.0 + - set 2pt_like angle_range_xip_2_3 6.21691892 999.0 + - set 2pt_like angle_range_xip_2_4 6.21691892 999.0 + - set 2pt_like angle_range_xip_3_3 6.21691892 999.0 + - set 2pt_like angle_range_xip_3_4 6.21691892 999.0 + - set 2pt_like angle_range_xip_4_4 4.93827423 999.0 + - set 2pt_like angle_range_xim_1_1 24.75 999.0 + - set 2pt_like angle_range_xim_1_2 62.16918918 999.0 + - set 2pt_like angle_range_xim_1_3 62.16918918 999.0 + - set 2pt_like angle_range_xim_1_4 49.3827423 999.0 + - set 2pt_like angle_range_xim_2_2 62.16918918 999.0 + - set 2pt_like angle_range_xim_2_3 78.26637209 999.0 + - set 2pt_like angle_range_xim_2_4 78.26637209 999.0 + - set 2pt_like angle_range_xim_3_3 78.26637209 999.0 + - set 2pt_like angle_range_xim_3_4 78.26637209 999.0 + - set 2pt_like angle_range_xim_4_4 62.16918918 999.0 + - set 2pt_like angle_range_gammat_1_1 25.40688358 999.0 + - set 2pt_like angle_range_gammat_1_2 25.40688358 999.0 + - set 2pt_like angle_range_gammat_1_3 25.40688358 999.0 + - set 2pt_like angle_range_gammat_1_4 25.40688358 999.0 + - set 2pt_like angle_range_gammat_2_1 18.26006735 999.0 + - set 2pt_like angle_range_gammat_2_2 18.26006735 999.0 + - set 2pt_like angle_range_gammat_2_3 18.26006735 999.0 + - set 2pt_like angle_range_gammat_2_4 18.26006735 999.0 + - set 2pt_like angle_range_gammat_3_1 13.05578642 999.0 + - set 2pt_like angle_range_gammat_3_2 13.05578642 999.0 + - set 2pt_like angle_range_gammat_3_3 13.05578642 999.0 + - set 2pt_like angle_range_gammat_3_4 13.05578642 999.0 + - set 2pt_like angle_range_gammat_4_1 10.86591189 999.0 + - set 2pt_like angle_range_gammat_4_2 10.86591189 999.0 + - set 2pt_like angle_range_gammat_4_3 10.86591189 999.0 + - set 2pt_like angle_range_gammat_4_4 10.86591189 999.0 + - set 2pt_like angle_range_gammat_5_1 999.0 999.0 + - set 2pt_like angle_range_gammat_5_2 999.0 999.0 + - set 2pt_like angle_range_gammat_5_3 999.0 999.0 + - set 2pt_like angle_range_gammat_5_4 999.0 999.0 + - set 2pt_like angle_range_gammat_6_1 999.0 999.0 + - set 2pt_like angle_range_gammat_6_2 999.0 999.0 + - set 2pt_like angle_range_gammat_6_3 999.0 999.0 + - set 2pt_like angle_range_gammat_6_4 999.0 999.0 + - set 2pt_like angle_range_wtheta_1_1 33.8758448 999.0 + - set 2pt_like angle_range_wtheta_1_2 33.8758448 999.0 + - set 2pt_like angle_range_wtheta_1_3 33.8758448 999.0 + - set 2pt_like angle_range_wtheta_1_4 33.8758448 999.0 + - set 2pt_like angle_range_wtheta_1_5 999.0 999.0 + - set 2pt_like angle_range_wtheta_1_6 999.0 999.0 + - set 2pt_like angle_range_wtheta_2_2 24.3467565 999.0 + - set 2pt_like angle_range_wtheta_2_3 24.3467565 999.0 + - set 2pt_like angle_range_wtheta_2_4 24.3467565 999.0 + - set 2pt_like angle_range_wtheta_2_5 999.0 999.0 + - set 2pt_like angle_range_wtheta_2_6 999.0 999.0 + - set 2pt_like angle_range_wtheta_3_3 17.40771522 999.0 + - set 2pt_like angle_range_wtheta_3_4 17.40771522 999.0 + - set 2pt_like angle_range_wtheta_3_5 999.0 999.0 + - set 2pt_like angle_range_wtheta_3_6 999.0 999.0 + - set 2pt_like angle_range_wtheta_4_4 14.48788252 999.0 + - set 2pt_like angle_range_wtheta_4_5 999.0 999.0 + - set 2pt_like angle_range_wtheta_4_6 999.0 999.0 + - set 2pt_like angle_range_wtheta_5_5 999.0 999.0 + - set 2pt_like angle_range_wtheta_5_6 999.0 999.0 + - set 2pt_like angle_range_wtheta_6_6 999.0 999.0 + + +runs: + - name: fiducial + base: examples/des-y3.ini + params: + - set camb feedback 0 + + - name: class + parent: fiducial + pipeline: + - replace camb class extrapolate + params: + - set extrapolate file boltzmann/extrapolate/extrapolate_power.py + - set extrapolate power_spectra_names matter_power_nl matter_power_lin + - set extrapolate npoint 10 + - set extrapolate kmax 500.0 + - set class file boltzmann/class/class_interface.py + - set class version 3.2.0 + - set class lmax 2850 + - set class debug T + - set class zmax 4.0 + - set class kmax 100.0 + - set class nk 700 + - set class cmb T + - set class mpk T + - set class lensing T + - set class class_non_linear halofit + + - name: maglim + parent: fiducial + components: + - maglim_cuts + params: + - set DEFAULT 2PT_FILE likelihood/des-y3/2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate.fits + - set shear_ratio_like data_file likelihood/des-y3/shear_ratio/2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate_sr.pkl + - set shear_ratio_like theta_min_1 8.47 6.07 4.34 2.5 2.5 2.5 + - set shear_ratio_like theta_min_2 8.47 6.07 4.34 2.5 2.5 2.5 + - set shear_ratio_like theta_min_3 2.5 2.5 4.34 2.5 2.5 2.5 + - set shear_ratio_like theta_max 25.4 18.26 13.03 10.87 9.66 9.04 + + - name: mira-titan + parent: fiducial + params: + - set camb zmin 0.0 + - set camb zmax 2.02 + - set camb nz 100 + - set delete_nl file utility/delete/delete_section.py + - set delete_nl sections matter_power_nl + - set cosmic_emu file structure/cosmic_emu_2022/emu.so + - set cosmic_emu mode total + - set cosmic_emu zmax 2.02 + - set cosmic_emu nz 100 + pipeline: + - after camb delete_nl cosmic_emu + + - name: shear-only + parent: fiducial + pipeline: + - delete lens_photoz_width lens_photoz_bias + - delete pk_to_cl_gg + - delete add_magnification + - delete 2pt_gal 2pt_gal_shear + - delete add_point_mass shear_ratio_like + params: + - set fits_nz data_sets source + - delete pk_to_cl lingal-shear + - delete pk_to_cl lingal-intrinsic + - delete pk_to_cl lingal-magnification + - delete pk_to_cl magnification-shear + - delete pk_to_cl magnification-magnification + - delete pk_to_cl magnification-intrinsic + - set add_intrinsic position-shear F + - set 2pt_like data_sets xip xim + values: + - delete lens_photoz_errors * + - delete bias_lens * + - delete mag_alpha_lens * From cf7f4ba62f6a8f7da3598ef5618b1dcee000a39d Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 09:44:28 +0100 Subject: [PATCH 13/25] Update to new campaign set format --- .github/workflows/ci.yml | 12 ++ examples/des-campaign.yml | 267 ++++++++++++++++++++++---------------- 2 files changed, 166 insertions(+), 113 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index d0167961..777485a7 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -41,6 +41,18 @@ jobs: source cosmosis-configure make + - name: Test campaign commands + shell: bask -l {0} + run: | + source cosmosis-configure + cosmosis-campaign -l examples/des-campaign.yml | tee output/campaign.log + grep -e "mira-titan" campaign.log + grep -e "fiducial" campaign.log + cosmosis-campaign --run fiducial-test-only examples/des-campaign.yml + cosmosis-campaign examples/des-campaign.yml --status fiducial-test-only > output/campaign.log + grep -e "🟢 fiducial-test-only" output/campaign.log + + - name: Smail example shell: bash -l {0} run: | diff --git a/examples/des-campaign.yml b/examples/des-campaign.yml index cc2bf25c..79afc0a4 100644 --- a/examples/des-campaign.yml +++ b/examples/des-campaign.yml @@ -1,148 +1,189 @@ -output_dir: "./output/des-y3-campaign" - -components: - maglim_cuts: - params: - - set 2pt_like angle_range_xip_1_1 2.475 999.0 - - set 2pt_like angle_range_xip_1_2 6.21691892 999.0 - - set 2pt_like angle_range_xip_1_3 6.21691892 999.0 - - set 2pt_like angle_range_xip_1_4 4.93827423 999.0 - - set 2pt_like angle_range_xip_2_2 6.21691892 999.0 - - set 2pt_like angle_range_xip_2_3 6.21691892 999.0 - - set 2pt_like angle_range_xip_2_4 6.21691892 999.0 - - set 2pt_like angle_range_xip_3_3 6.21691892 999.0 - - set 2pt_like angle_range_xip_3_4 6.21691892 999.0 - - set 2pt_like angle_range_xip_4_4 4.93827423 999.0 - - set 2pt_like angle_range_xim_1_1 24.75 999.0 - - set 2pt_like angle_range_xim_1_2 62.16918918 999.0 - - set 2pt_like angle_range_xim_1_3 62.16918918 999.0 - - set 2pt_like angle_range_xim_1_4 49.3827423 999.0 - - set 2pt_like angle_range_xim_2_2 62.16918918 999.0 - - set 2pt_like angle_range_xim_2_3 78.26637209 999.0 - - set 2pt_like angle_range_xim_2_4 78.26637209 999.0 - - set 2pt_like angle_range_xim_3_3 78.26637209 999.0 - - set 2pt_like angle_range_xim_3_4 78.26637209 999.0 - - set 2pt_like angle_range_xim_4_4 62.16918918 999.0 - - set 2pt_like angle_range_gammat_1_1 25.40688358 999.0 - - set 2pt_like angle_range_gammat_1_2 25.40688358 999.0 - - set 2pt_like angle_range_gammat_1_3 25.40688358 999.0 - - set 2pt_like angle_range_gammat_1_4 25.40688358 999.0 - - set 2pt_like angle_range_gammat_2_1 18.26006735 999.0 - - set 2pt_like angle_range_gammat_2_2 18.26006735 999.0 - - set 2pt_like angle_range_gammat_2_3 18.26006735 999.0 - - set 2pt_like angle_range_gammat_2_4 18.26006735 999.0 - - set 2pt_like angle_range_gammat_3_1 13.05578642 999.0 - - set 2pt_like angle_range_gammat_3_2 13.05578642 999.0 - - set 2pt_like angle_range_gammat_3_3 13.05578642 999.0 - - set 2pt_like angle_range_gammat_3_4 13.05578642 999.0 - - set 2pt_like angle_range_gammat_4_1 10.86591189 999.0 - - set 2pt_like angle_range_gammat_4_2 10.86591189 999.0 - - set 2pt_like angle_range_gammat_4_3 10.86591189 999.0 - - set 2pt_like angle_range_gammat_4_4 10.86591189 999.0 - - set 2pt_like angle_range_gammat_5_1 999.0 999.0 - - set 2pt_like angle_range_gammat_5_2 999.0 999.0 - - set 2pt_like angle_range_gammat_5_3 999.0 999.0 - - set 2pt_like angle_range_gammat_5_4 999.0 999.0 - - set 2pt_like angle_range_gammat_6_1 999.0 999.0 - - set 2pt_like angle_range_gammat_6_2 999.0 999.0 - - set 2pt_like angle_range_gammat_6_3 999.0 999.0 - - set 2pt_like angle_range_gammat_6_4 999.0 999.0 - - set 2pt_like angle_range_wtheta_1_1 33.8758448 999.0 - - set 2pt_like angle_range_wtheta_1_2 33.8758448 999.0 - - set 2pt_like angle_range_wtheta_1_3 33.8758448 999.0 - - set 2pt_like angle_range_wtheta_1_4 33.8758448 999.0 - - set 2pt_like angle_range_wtheta_1_5 999.0 999.0 - - set 2pt_like angle_range_wtheta_1_6 999.0 999.0 - - set 2pt_like angle_range_wtheta_2_2 24.3467565 999.0 - - set 2pt_like angle_range_wtheta_2_3 24.3467565 999.0 - - set 2pt_like angle_range_wtheta_2_4 24.3467565 999.0 - - set 2pt_like angle_range_wtheta_2_5 999.0 999.0 - - set 2pt_like angle_range_wtheta_2_6 999.0 999.0 - - set 2pt_like angle_range_wtheta_3_3 17.40771522 999.0 - - set 2pt_like angle_range_wtheta_3_4 17.40771522 999.0 - - set 2pt_like angle_range_wtheta_3_5 999.0 999.0 - - set 2pt_like angle_range_wtheta_3_6 999.0 999.0 - - set 2pt_like angle_range_wtheta_4_4 14.48788252 999.0 - - set 2pt_like angle_range_wtheta_4_5 999.0 999.0 - - set 2pt_like angle_range_wtheta_4_6 999.0 999.0 - - set 2pt_like angle_range_wtheta_5_5 999.0 999.0 - - set 2pt_like angle_range_wtheta_5_6 999.0 999.0 - - set 2pt_like angle_range_wtheta_6_6 999.0 999.0 +# This file is an example of a campaign file for managing a +# suite of related runs. +# All the outputs will go in a subdirectory of the output directory +output_dir: "./output/des-y3-campaign" +# The list of runs runs: + # This fiducial run is loaded directly from an ini file + # to start with, then modifications applied - name: fiducial base: examples/des-y3.ini + # We modify settings in the parameter file + # to switch off camb feedback and change the sample to emcee + params: + - camb.feedback = 0 + - sampler = emcee + + # This is only here for testing - you can instead test a + # pipeline using the "-t" command + - name: fiducial-test-only + parent: fiducial params: - - set camb feedback 0 + - sampler = test + # This run is based on the fiducial run above, with + # additional changes applied to it on top of the ones above - name: class parent: fiducial + # A set of commands like this manipulate the list + # of modules that form the pipeline. In this + # case we replace a module with another. pipeline: - replace camb class extrapolate params: - - set extrapolate file boltzmann/extrapolate/extrapolate_power.py - - set extrapolate power_spectra_names matter_power_nl matter_power_lin - - set extrapolate npoint 10 - - set extrapolate kmax 500.0 - - set class file boltzmann/class/class_interface.py - - set class version 3.2.0 - - set class lmax 2850 - - set class debug T - - set class zmax 4.0 - - set class kmax 100.0 - - set class nk 700 - - set class cmb T - - set class mpk T - - set class lensing T - - set class class_non_linear halofit + - extrapolate.file = boltzmann/extrapolate/extrapolate_power.py + - extrapolate.power_spectra_names = matter_power_nl matter_power_lin + - extrapolate.npoint = 10 + - extrapolate.kmax = 500.0 + - class.file = boltzmann/class/class_interface.py + - class.version = 3.2.0 + - class.lmax = 2850 + - class.debug = T + - class.zmax = 4.0 + - class.kmax = 100.0 + - class.nk = 700 + - class.cmb = T + - class.mpk = T + - class.lensing = T + - class.class_non_linear = halofit + # This is another descendant of the fiducial. - name: maglim parent: fiducial + # In this case we import a whole set of changes from the + # "components" defined below, which can modify any part of the run. + # Doing it like this means that a set of changes is re-usable between + # multiple runs. components: - maglim_cuts + # These changes are then applied after the components params: - - set DEFAULT 2PT_FILE likelihood/des-y3/2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate.fits - - set shear_ratio_like data_file likelihood/des-y3/shear_ratio/2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate_sr.pkl - - set shear_ratio_like theta_min_1 8.47 6.07 4.34 2.5 2.5 2.5 - - set shear_ratio_like theta_min_2 8.47 6.07 4.34 2.5 2.5 2.5 - - set shear_ratio_like theta_min_3 2.5 2.5 4.34 2.5 2.5 2.5 - - set shear_ratio_like theta_max 25.4 18.26 13.03 10.87 9.66 9.04 + - DEFAULT.2PT_FILE=likelihood/des-y3/2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate.fits + - shear_ratio_like.data_file=likelihood/des-y3/shear_ratio/2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate_sr.pkl + - shear_ratio_like.theta_min_1=8.47 6.07 4.34 2.5 2.5 2.5 + - shear_ratio_like.theta_min_2=8.47 6.07 4.34 2.5 2.5 2.5 + - shear_ratio_like.theta_min_3=2.5 2.5 4.34 2.5 2.5 2.5 + - shear_ratio_like.theta_max=25.4 18.26 13.03 10.87 9.66 9.04 - name: mira-titan parent: fiducial params: - - set camb zmin 0.0 - - set camb zmax 2.02 - - set camb nz 100 - - set delete_nl file utility/delete/delete_section.py - - set delete_nl sections matter_power_nl - - set cosmic_emu file structure/cosmic_emu_2022/emu.so - - set cosmic_emu mode total - - set cosmic_emu zmax 2.02 - - set cosmic_emu nz 100 + - camb.zmin=0.0 + - camb.zmax=2.02 + - camb.nz=100 + - delete_nl.file=utility/delete/delete_section.py + - delete_nl.sections=matter_power_nl + - cosmic_emu.file=structure/cosmic_emu_2022/emu.so + - cosmic_emu.mode=total + - cosmic_emu.zmax=2.02 + - cosmic_emu.nz=100 + # in this example we add modules after an existing one pipeline: - after camb delete_nl cosmic_emu - name: shear-only parent: fiducial + # In this run we delete a bunch of pipeline + # items and other options pipeline: + # we can do multiple deletes on the same line if useful, + # or spread over several liens - delete lens_photoz_width lens_photoz_bias - delete pk_to_cl_gg - delete add_magnification - delete 2pt_gal 2pt_gal_shear - delete add_point_mass shear_ratio_like params: - - set fits_nz data_sets source - - delete pk_to_cl lingal-shear - - delete pk_to_cl lingal-intrinsic - - delete pk_to_cl lingal-magnification - - delete pk_to_cl magnification-shear - - delete pk_to_cl magnification-magnification - - delete pk_to_cl magnification-intrinsic - - set add_intrinsic position-shear F - - set 2pt_like data_sets xip xim + - delete pk_to_cl.lingal-shear + - delete pk_to_cl.lingal-intrinsic + - delete pk_to_cl.lingal-magnification + - delete pk_to_cl.magnification-shear + - delete pk_to_cl.magnification-magnification + - delete pk_to_cl.magnification-intrinsic + - fits_nz.data_sets=source + - add_intrinsic.position-shear = F + - 2pt_like.data_sets = xip xim + # Without an option name the delete command + # removes an entire section values: - - delete lens_photoz_errors * - - delete bias_lens * - - delete mag_alpha_lens * + - delete lens_photoz_errors + - delete bias_lens + - delete mag_alpha_lens + # Deleting this set of priors isn't strictly necessary. + # Priors for parameters that are not included in the values + # file are just ignored. + priors: + - delete lens_photoz_errors + + +# These components can be re-used in multiple runs above. +components: + maglim_cuts: + params: + - 2pt_like.angle_range_xip_1_1 = 2.475 999.0 + - 2pt_like.angle_range_xip_1_2 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_1_3 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_1_4 = 4.93827423 999.0 + - 2pt_like.angle_range_xip_2_2 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_2_3 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_2_4 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_3_3 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_3_4 = 6.21691892 999.0 + - 2pt_like.angle_range_xip_4_4 = 4.93827423 999.0 + - 2pt_like.angle_range_xim_1_1 = 24.75 999.0 + - 2pt_like.angle_range_xim_1_2 = 62.16918918 999.0 + - 2pt_like.angle_range_xim_1_3 = 62.16918918 999.0 + - 2pt_like.angle_range_xim_1_4 = 49.3827423 999.0 + - 2pt_like.angle_range_xim_2_2 = 62.16918918 999.0 + - 2pt_like.angle_range_xim_2_3 = 78.26637209 999.0 + - 2pt_like.angle_range_xim_2_4 = 78.26637209 999.0 + - 2pt_like.angle_range_xim_3_3 = 78.26637209 999.0 + - 2pt_like.angle_range_xim_3_4 = 78.26637209 999.0 + - 2pt_like.angle_range_xim_4_4 = 62.16918918 999.0 + - 2pt_like.angle_range_gammat_1_1 = 25.40688358 999.0 + - 2pt_like.angle_range_gammat_1_2 = 25.40688358 999.0 + - 2pt_like.angle_range_gammat_1_3 = 25.40688358 999.0 + - 2pt_like.angle_range_gammat_1_4 = 25.40688358 999.0 + - 2pt_like.angle_range_gammat_2_1 = 18.26006735 999.0 + - 2pt_like.angle_range_gammat_2_2 = 18.26006735 999.0 + - 2pt_like.angle_range_gammat_2_3 = 18.26006735 999.0 + - 2pt_like.angle_range_gammat_2_4 = 18.26006735 999.0 + - 2pt_like.angle_range_gammat_3_1 = 13.05578642 999.0 + - 2pt_like.angle_range_gammat_3_2 = 13.05578642 999.0 + - 2pt_like.angle_range_gammat_3_3 = 13.05578642 999.0 + - 2pt_like.angle_range_gammat_3_4 = 13.05578642 999.0 + - 2pt_like.angle_range_gammat_4_1 = 10.86591189 999.0 + - 2pt_like.angle_range_gammat_4_2 = 10.86591189 999.0 + - 2pt_like.angle_range_gammat_4_3 = 10.86591189 999.0 + - 2pt_like.angle_range_gammat_4_4 = 10.86591189 999.0 + - 2pt_like.angle_range_gammat_5_1 = 999.0 999.0 + - 2pt_like.angle_range_gammat_5_2 = 999.0 999.0 + - 2pt_like.angle_range_gammat_5_3 = 999.0 999.0 + - 2pt_like.angle_range_gammat_5_4 = 999.0 999.0 + - 2pt_like.angle_range_gammat_6_1 = 999.0 999.0 + - 2pt_like.angle_range_gammat_6_2 = 999.0 999.0 + - 2pt_like.angle_range_gammat_6_3 = 999.0 999.0 + - 2pt_like.angle_range_gammat_6_4 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_1_1 = 33.8758448 999.0 + - 2pt_like.angle_range_wtheta_1_2 = 33.8758448 999.0 + - 2pt_like.angle_range_wtheta_1_3 = 33.8758448 999.0 + - 2pt_like.angle_range_wtheta_1_4 = 33.8758448 999.0 + - 2pt_like.angle_range_wtheta_1_5 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_1_6 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_2_2 = 24.3467565 999.0 + - 2pt_like.angle_range_wtheta_2_3 = 24.3467565 999.0 + - 2pt_like.angle_range_wtheta_2_4 = 24.3467565 999.0 + - 2pt_like.angle_range_wtheta_2_5 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_2_6 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_3_3 = 17.40771522 999.0 + - 2pt_like.angle_range_wtheta_3_4 = 17.40771522 999.0 + - 2pt_like.angle_range_wtheta_3_5 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_3_6 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_4_4 = 14.48788252 999.0 + - 2pt_like.angle_range_wtheta_4_5 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_4_6 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_5_5 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_5_6 = 999.0 999.0 + - 2pt_like.angle_range_wtheta_6_6 = 999.0 999.0 \ No newline at end of file From 44d37dfd3a685888502453230defdd91cabf8fda Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 10:17:41 +0100 Subject: [PATCH 14/25] fix typo --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 777485a7..75b53a12 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -42,7 +42,7 @@ jobs: make - name: Test campaign commands - shell: bask -l {0} + shell: bash -l {0} run: | source cosmosis-configure cosmosis-campaign -l examples/des-campaign.yml | tee output/campaign.log From 8ffb5e2624f1947e788d5091acf1286086a20454 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 10:55:01 +0100 Subject: [PATCH 15/25] move campaign test to apt-get bit --- .github/workflows/ci.yml | 24 +++++++++++------------- 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 75b53a12..390cc9b8 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge cosmosis cosmosis-build-standard-library + run: mamba install -c conda-forge cosmosis cosmosis-build-standard-library "numpy<1.24" - name: Build standard library shell: bash -l {0} @@ -41,18 +41,6 @@ jobs: source cosmosis-configure make - - name: Test campaign commands - shell: bash -l {0} - run: | - source cosmosis-configure - cosmosis-campaign -l examples/des-campaign.yml | tee output/campaign.log - grep -e "mira-titan" campaign.log - grep -e "fiducial" campaign.log - cosmosis-campaign --run fiducial-test-only examples/des-campaign.yml - cosmosis-campaign examples/des-campaign.yml --status fiducial-test-only > output/campaign.log - grep -e "🟢 fiducial-test-only" output/campaign.log - - - name: Smail example shell: bash -l {0} run: | @@ -291,6 +279,16 @@ jobs: source .github/ci-setup.sh python -c "import camb" + - name: Test campaign commands + shell: bash -l {0} + run: | + source .github/ci-setup.sh + cosmosis-campaign -l examples/des-campaign.yml | tee output/campaign.log + grep -e "mira-titan" campaign.log + grep -e "fiducial" campaign.log + cosmosis-campaign --run fiducial-test-only examples/des-campaign.yml + cosmosis-campaign examples/des-campaign.yml --status fiducial-test-only > output/campaign.log + grep -e "🟢 fiducial-test-only" output/campaign.log - name: Demo 2 Planck 2018 Likelihood run: | From 7464814735159366e79f6902d7da1cf2694d6c8b Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 11:14:12 +0100 Subject: [PATCH 16/25] prodding gh --- .github/workflows/ci.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 390cc9b8..026932a7 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -297,7 +297,6 @@ jobs: cosmosis-postprocess demos/demo2.ini -o output/demo2 test -f output/demo2/comoving_distance.png - - name: Demo 9 Low-Resolution Multinest run: | source .github/ci-setup.sh From c9a89828a903323f5ae708177d92dd96d079aa1a Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 14:27:45 +0100 Subject: [PATCH 17/25] test generic campaign status --- .github/workflows/ci.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 026932a7..53d01a11 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -289,6 +289,7 @@ jobs: cosmosis-campaign --run fiducial-test-only examples/des-campaign.yml cosmosis-campaign examples/des-campaign.yml --status fiducial-test-only > output/campaign.log grep -e "🟢 fiducial-test-only" output/campaign.log + cosmosis-campaign examples/des-campaign.yml --status - name: Demo 2 Planck 2018 Likelihood run: | From 9b99b06e7893314cc62813d9ea6f88b27bf63cd0 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 15:13:20 +0100 Subject: [PATCH 18/25] Restore original branch --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 53d01a11..1096e7ad 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -258,7 +258,7 @@ jobs: - name: Install python dependencies run: | python -m pip install --upgrade pip wheel setuptools - pip install git+https://github.com/joezuntz/cosmosis@interactive-use + pip install git+https://github.com/joezuntz/cosmosis pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb pip install fitsio astropy fast-pt "Cython<3.0" jupyter "numpy<1.24" From 97e383628f537ae9c10240008d82a29e12557784 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 15:16:47 +0100 Subject: [PATCH 19/25] install from pypi --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 1096e7ad..c7de9bc3 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -258,7 +258,7 @@ jobs: - name: Install python dependencies run: | python -m pip install --upgrade pip wheel setuptools - pip install git+https://github.com/joezuntz/cosmosis + pip install "cosmosis>=3.0" pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb pip install fitsio astropy fast-pt "Cython<3.0" jupyter "numpy<1.24" From 120e131c699bc0466b504a8892a17bc63abeca6a Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 16:34:34 +0100 Subject: [PATCH 20/25] require cosmosis 3 in the CI --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c7de9bc3..850e7c1f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge cosmosis cosmosis-build-standard-library "numpy<1.24" + run: mamba install -c "conda-forge>=3.0" cosmosis cosmosis-build-standard-library "numpy<1.24" - name: Build standard library shell: bash -l {0} From 92f029fc224f085d55bcee3075495428ea28a224 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 19:18:08 +0100 Subject: [PATCH 21/25] fix --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 850e7c1f..bec417ba 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c "conda-forge>=3.0" cosmosis cosmosis-build-standard-library "numpy<1.24" + run: mamba install -c conda-forge> "cosmosis>=3.0" cosmosis-build-standard-library "numpy<1.24" - name: Build standard library shell: bash -l {0} From 7b36db9c4fca13c6ed18379b7bfa4cea0a76f917 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Thu, 27 Jul 2023 19:21:34 +0100 Subject: [PATCH 22/25] another fix --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index bec417ba..dec8e574 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge> "cosmosis>=3.0" cosmosis-build-standard-library "numpy<1.24" + run: mamba install -c conda-forge "cosmosis>=3.0" cosmosis-build-standard-library "numpy<1.24" - name: Build standard library shell: bash -l {0} From e34c171f26f4495af581f229609d24da3a2cfdcd Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Fri, 28 Jul 2023 10:23:08 +0100 Subject: [PATCH 23/25] some fixes for 3.01 --- .github/workflows/ci.yml | 6 +++--- structure/fast_pt/fast_pt_interface.py | 4 ++++ structure/projection/projection_tools/fastpt_tools.py | 5 +++++ 3 files changed, 12 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index dec8e574..7a32d797 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge "cosmosis>=3.0" cosmosis-build-standard-library "numpy<1.24" + run: mamba install -c conda-forge "cosmosis>=3.01" cosmosis-build-standard-library - name: Build standard library shell: bash -l {0} @@ -258,9 +258,9 @@ jobs: - name: Install python dependencies run: | python -m pip install --upgrade pip wheel setuptools - pip install "cosmosis>=3.0" + pip install "cosmosis>=3.01" pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb - pip install fitsio astropy fast-pt "Cython<3.0" jupyter "numpy<1.24" + pip install fitsio astropy fast-pt "Cython<3.0" jupyter - name: Build run: | diff --git a/structure/fast_pt/fast_pt_interface.py b/structure/fast_pt/fast_pt_interface.py index f0e72eec..14a668d5 100644 --- a/structure/fast_pt/fast_pt_interface.py +++ b/structure/fast_pt/fast_pt_interface.py @@ -20,6 +20,10 @@ import numpy as np from time import time +# hack because fastpt not yet updated for numpy 1.24 +if not hasattr(np, 'int'): + np.int = int + from scipy.interpolate import interp1d from scipy.interpolate import InterpolatedUnivariateSpline as intspline #import matplotlib as plt diff --git a/structure/projection/projection_tools/fastpt_tools.py b/structure/projection/projection_tools/fastpt_tools.py index cce36d90..dbc3bc70 100644 --- a/structure/projection/projection_tools/fastpt_tools.py +++ b/structure/projection/projection_tools/fastpt_tools.py @@ -1,5 +1,10 @@ import sys,os import numpy as np + +# hack because fastpt not yet updated for numpy 1.24 +if not hasattr(np, 'int'): + np.int = int + import scipy.interpolate as interpolate from scipy.interpolate import interp1d from scipy.interpolate import InterpolatedUnivariateSpline as intspline From 34066e7a98aea59df28150bc54ab2b0d9577d299 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Fri, 28 Jul 2023 11:42:01 +0100 Subject: [PATCH 24/25] no-op --- .github/workflows/ci.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 7a32d797..d1110acb 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -215,7 +215,6 @@ jobs: - apt-get-test: runs-on: ubuntu-20.04 strategy: From 3b739b80c8fadd5b416053ec5eb3ef2384bbfd36 Mon Sep 17 00:00:00 2001 From: Joe Zuntz Date: Fri, 28 Jul 2023 11:45:31 +0100 Subject: [PATCH 25/25] version fix --- .github/workflows/ci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index d1110acb..f5e7bc27 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -33,7 +33,7 @@ jobs: - name: Install dependencies with conda shell: bash -l {0} - run: mamba install -c conda-forge "cosmosis>=3.01" cosmosis-build-standard-library + run: mamba install -c conda-forge "cosmosis>=3.0.1" cosmosis-build-standard-library - name: Build standard library shell: bash -l {0} @@ -257,7 +257,7 @@ jobs: - name: Install python dependencies run: | python -m pip install --upgrade pip wheel setuptools - pip install "cosmosis>=3.01" + pip install "cosmosis>=3.0.1" pip install -v --no-cache-dir --no-binary=mpi4py,camb mpi4py camb pip install fitsio astropy fast-pt "Cython<3.0" jupyter