{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "f07fa1f2-187e-4ce0-af95-31d6120977fe", "metadata": { "ExecuteTime": { "end_time": "2024-10-31T11:15:47.604112Z", "start_time": "2024-10-31T11:15:47.544336Z" }, "pycharm": { "name": "#%%\n" } }, "outputs": [], "source": [ "from mimic.utilities import *\n", "\n", "from mimic.model_infer.infer_gLV_bayes import *\n", "from mimic.model_infer import *\n", "from mimic.model_simulate import *\n", "from mimic.model_simulate.sim_gLV import *\n", "\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "import arviz as az\n", "import pymc as pm\n", "import pytensor\n", "import pytensor.tensor as at\n", "import pickle\n", "import cloudpickle\n" ] }, { "cell_type": "markdown", "id": "82eb9f01", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "## Used Bayesian inference to infer the parameters of a (linearised) gLV model\n", "\n", "The generalized Lotka-Volterra equation takes the form\n", "\n", "$$ \\frac{dX_i}{dt} = \\mu_i X_i + X_i M_{ij} X_j + X_i \\epsilon_{il} u_l $$\n", "\n", "where:\n", "- $X_i$ is the concentration of a species\n", "- $\\mu_i$ is its specific growth rate\n", "- $M_{ij}$ is the effect of the interaction of species $i$ on species $j$\n", "- $\\epsilon_{il}$ is the susceptibility to the time-dependent perturbation $u_l$" ] }, { "cell_type": "markdown", "id": "b4324950", "metadata": {}, "source": [ "### Bayesian inference with no shrinkage " ] }, { "cell_type": "code", "execution_count": 2, "id": "ed7e4c8c", "metadata": { "ExecuteTime": { "end_time": "2024-10-31T11:17:37.557214Z", "start_time": "2024-10-31T11:16:01.339288Z" } }, "outputs": [ { "ename": "FileNotFoundError", "evalue": "[Errno 2] No such file or directory: 'params-s5.pkl'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[2], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# read in pickled simulated parameters, mu, M, epsilon\u001b[39;00m\n\u001b[1;32m 2\u001b[0m num_species \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5\u001b[39m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mparams-s5.pkl\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrb\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m 4\u001b[0m params \u001b[38;5;241m=\u001b[39m pickle\u001b[38;5;241m.\u001b[39mload(f)\n\u001b[1;32m 5\u001b[0m M \u001b[38;5;241m=\u001b[39m params[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mM\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n", "File \u001b[0;32m/opt/anaconda3/envs/my_mimic_env/lib/python3.10/site-packages/IPython/core/interactiveshell.py:324\u001b[0m, in \u001b[0;36m_modified_open\u001b[0;34m(file, *args, **kwargs)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 319\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 320\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 322\u001b[0m )\n\u001b[0;32m--> 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'params-s5.pkl'" ] } ], "source": [ "# read in pickled simulated parameters, mu, M, epsilon, created in examples-sim-gLV.ipynb\n", "num_species = 5\n", "with open(\"params-s5.pkl\", \"rb\") as f:\n", " params = pickle.load(f)\n", "M = params[\"M\"]\n", "mu = params[\"mu\"]\n", "epsilon = params[\"epsilon\"]\n", "\n", "# read in the data\n", "num_timecourses = 1\n", "data = pd.read_csv(\"data-s5-r1.csv\")\n", "times = data.iloc[:, 0].values\n", "\n", "yobs = data.iloc[:, 1:6].values\n", "\n", "X, F = linearize_time_course_16S(yobs, times)\n", "\n", "# Define priors\n", "prior_mu_mean = 1.0 \n", "prior_mu_sigma = 0.5\n", "\n", "## NB prior_Mii_mean is 0, so not defined as an argument\n", "prior_Mii_mean = 0.0\n", "prior_Mii_sigma = 0.1\n", "\n", "prior_Mij_sigma = 0.1\n", "\n", "\n", "# Sampling conditions\n", "draws = 500\n", "tune = 500\n", "chains = 4\n", "cores = 4\n", "\n", "inference = infergLVbayes()\n", "\n", "inference.set_parameters(X=X, F=F, prior_mu_mean=prior_mu_mean, prior_mu_sigma=prior_mu_sigma,\n", " prior_Mii_sigma=prior_Mii_sigma, prior_Mii_mean=prior_Mii_mean,\n", " prior_Mij_sigma=prior_Mij_sigma,\n", " draws=draws, tune=tune, chains=chains,cores=cores)\n", "\n", "idata = inference.run_inference()\n", "\n", "# To plot posterior distributions\n", "#inference.plot_posterior(idata)\n", "\n", "\n", "summary = az.summary(idata, var_names=[\"mu_hat\", \"M_ii_hat\", \"M_ij_hat\", \"M_hat\", \"sigma\"])\n", "print(summary[[\"mean\", \"sd\", \"r_hat\"]])\n", "\n", "# Save posterior samples to file\n", "az.to_netcdf(idata, 'model_posterior.nc')\n", "\n", "# get median mu_hat and M_hat \n", "mu_h = np.median(idata.posterior[\"mu_hat\"].values, axis=(0,1) ).reshape(-1)\n", "M_h = np.median(idata.posterior[\"M_hat\"].values, axis=(0,1) )\n", "\n", "# compare fitted with simulated parameters\n", "compare_params(mu=(mu, mu_h), M=(M, M_h))\n", "\n", "predictor = sim_gLV(num_species=num_species, M=M_h.T, mu=mu_h)\n", "yobs_h, _, _, _, _ = predictor.simulate(times=times, init_species=yobs[0])\n", "plot_fit_gLV(yobs, yobs_h, times)\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "7fcb005f031b1ce7", "metadata": { "ExecuteTime": { "end_time": "2024-10-31T11:20:49.557644Z", "start_time": "2024-10-31T11:20:49.420375Z" }, "collapsed": false }, "outputs": [], "source": [ "# read in pickled simulated parameters, mu, M, epsilon\n", "num_species = 5\n", "with open(\"params-s5.pkl\", \"rb\") as f:\n", " params = pickle.load(f)\n", "M = params[\"M\"]\n", "mu = params[\"mu\"]\n", "epsilon = params[\"epsilon\"]\n", "\n", "# read in the data\n", "num_timecourses = 3\n", "data = pd.read_csv(\"data-s5-r3.csv\")\n", "times = data.iloc[:, 0].values\n", "\n", "yobs_1 = data.iloc[:, 1:(num_species+1)].values\n", "yobs_2 = data.iloc[:, (num_species+1):(2*num_species+1)].values\n", "yobs_3 = data.iloc[:, (2*num_species+1):(3*num_species+1)].values\n", "ryobs = np.array([yobs_1, yobs_2, yobs_3])\n", "\n", "\n", "X = np.array([], dtype=np.double).reshape(0, num_species+1)\n", "F = np.array([], dtype=np.double).reshape(0, num_species)\n", "\n", "\n", "\n", "for timecourse_idx in range(num_timecourses):\n", " Xs, Fs = linearize_time_course_16S(ryobs[timecourse_idx], times)\n", " X = np.vstack([X, Xs])\n", " F = np.vstack([F, Fs])\n", " \n", "init_species = ryobs[timecourse_idx,0,:] \n" ] }, { "cell_type": "code", "execution_count": null, "id": "d13d05a1", "metadata": { "ExecuteTime": { "end_time": "2024-10-31T11:21:52.005379Z", "start_time": "2024-10-31T11:20:50.711980Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "X shape: (297, 6)\n", "F shape: (297, 5)\n", "Number of species: 5\n", "AdvancedSetSubtensor.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [sigma, mu_hat, M_ii_hat_p, M_ij_hat]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0b6029cf4bee4f868421af968189d4bd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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     "name": "stderr",
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     "text": [
      "Sampling 4 chains for 500 tune and 500 draw iterations (2_000 + 2_000 draws total) took 37 seconds.\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mu_hat/mu:\n",
      "[1.3832308  0.74120724 1.77738998 0.95705513 0.80500161]\n",
      "[1.27853844 0.55683415 2.06752757 0.86387608 0.70448068]\n",
      "\n",
      "M_hat/M:\n",
      "[[-0.06 -0.    0.   -0.    0.  ]\n",
      " [ 0.   -0.09  0.    0.    0.  ]\n",
      " [-0.03 -0.01 -0.13 -0.01  0.  ]\n",
      " [-0.    0.04  0.   -0.01  0.  ]\n",
      " [ 0.    0.01  0.    0.   -0.15]]\n",
      "\n",
      " [[-0.05   0.    -0.025  0.     0.   ]\n",
      " [ 0.    -0.1    0.     0.05   0.   ]\n",
      " [ 0.     0.    -0.15   0.     0.   ]\n",
      " [ 0.     0.     0.    -0.01   0.   ]\n",
      " [ 0.02   0.     0.     0.    -0.2  ]]\n"
     ]
    },
    {
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1wQcfNNs2JydH8fHx7ldKSkqQqgQAAHYIq3CTnJys9evX67XXXtNrr72mlJQUZWVlqbi4uMl9lixZovLycvfr1KlTQawYAAAEm62XpXzVv39/9e/f3708cuRIHTt2TGvWrNHzzz/f6D5RUVGKiooKVokAAMBmYXXmpjHDhw/XZ599ZncZAAAgRIR9uCkpKVFycrLdZQAAgBBh62Wpr7/+2uOsy/Hjx1VSUqKuXbvq6quv1pIlS/TXv/5V//d//ydJeuqpp5SamqoBAwbo4sWLeu6557Rz50698847dnUBAACEGFvDzb59+zRq1Cj3cnZ2tiRp+vTpys3N1ZkzZ3Ty5En39pqaGv30pz/VX//6V8XExGjw4MF69913Pd4DAAC0bw7Lsiy7iwimiooKxcfHq7y8XHFxcXaXAyBAvvm6XDFPXF33+4MnFfOteJsrAhBIvvz9Dvs5NwAAAJcj3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCTQCtLTiq1MVvam3BUbtLAQCg3QqrZ0uFsrUFR7U6/1NJcv+cOzrNzpIAAGiXOHMTAJcHm3qr8z/lDA4AADYg3LRSY8GmHgEHAIDgI9y0QnPBph4BBwCA4CLc+MmbYFOPgAMAQPAQbvy0xstg4297AADgH8KNnxaMva5N2wMAAP8Qbvw0d3Sasr0MLNljr+Nr4QAABAnhphW8CTgEGwAAgotw00rNBRyCDQAAwUe4CYC5o9M0545+HusINgAA2INwEyAPZF3r/n3OHf0INgAA2IRw0wYuDzoAACC4CDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAmEolXq9Gh3zY7YKknq8P4T0srOUtEqe+sCAKAd6mB3AWGvaJW06xE5JD3Y8RXd4vxEkbsP123b9Ujdz8xFtpUHAEB7w5mb1tr1qMfirc7DzW4HAABti3DTWqOWeiw6HA23LwteLQAAgHDTapmLpNRMWY1tuyZLylwY5IIAAGjfCDetVbRKOl6khidsJEmfF0pFjwe5IAAA2jfCTWu1NKemflIxAAAICsJNazWYc+PzdgAAEFCEm9bKXCSNWibrsgtTNbf+VJKjbjIxXwMHACCoCDeBkLlIFx484V68lDFPWnmeYAMAgA0INwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABilg7cNu3bt6tMbOxwOFRcXq0+fPj4XBQAA4C+vw8358+f11FNPKT4+vsW2lmXpv//7v1VbW9uq4gAAAHzldbiRpLvvvlsJCQletZ0zZ45fBQEAALSG1+HG5XL59MaVlZU+FwMAANBaTCgGAABG8frMze9+9zuNHz9eHTt21O9+97tm2/7gBz9odWEAAAD+8DrcTJo0SaWlpUpISNCkSZOabOdwOJhIDAAAbOPXnBtf598AAAAEC3NuAACAUbwON2vXrtXFixe9fuP169fzjSkAABB0XoebBQsW+BRWFi1apHPnzvlVFAAAgL+8nnNjWZZGjx6tDh282+XChQt+FwUAAOAvr8PNihUrfHrjiRMn+vw8KgAAgNZqs3ADAABgB74tBQAAjOLTgzPrOZ1OORyOJrdzEz8AAGAXv87cbN26Va+//rr7tWXLFi1evFjJycnauHGj1++ze/du3XXXXerZs6ccDofy8vJa3KewsFA33nijoqKi1K9fP+Xm5vrTBQAAYCi/ztxMnDjxinU/+tGPNGDAAG3ZskX33nuvV+9TVVWl9PR0/fjHP9YPf/jDFtsfP35cEyZM0P33368XX3xRBQUFuu+++5ScnKxx48b53A8AAGAev8JNU2655Rb95Cc/8br9+PHjNX78eK/br1+/XqmpqXryySclSd/+9rf1/vvva82aNU2Gm+rqalVXV7uXKyoqvD4eAAAIPwGbUHzhwgWtXbtWvXr1CtRbXmHPnj0aM2aMx7px48Zpz549Te6Tk5Oj+Ph49yslJaXN6gMAAPbz68xNly5dPCYUW5alyspKderUSS+++GLAimuotLRUiYmJHusSExNVUVGhCxcuqFOnTlfss2TJEmVnZ7uXKyoqCDgAEKLWFhzVmvxPtWDsdZo7Os3uchCm/Ao3a9as8Qg3TqdTPXr00IgRI9SlS5eAFRcIUVFRioqKsrsMAEAL1hYc1er8TyXJ/ZOAA3/4FW7+8z//UxcvXtTHH3+ss2fPyuVyqaamRu+9954k6Qc/+EFAi6yXlJSksrIyj3VlZWWKi4tr9KwNACA8XB5s6hFw4C+/ws2OHTs0bdo0ffnll7Isy2Obw+Fos/vcZGRkaPv27R7r8vPzlZGR0SbHAwC0vcaCTT0CDvzh14TiOXPmaPLkyTp9+rRcLpfHy5dg8/XXX6ukpEQlJSWS6r7qXVJSopMnT0qqmy8zbdo0d/v7779fn3/+uRYtWqQ//elP+tWvfqXf/va3WrBggT/dAADYrLlgU291/qdaW3A0SBXBBH6Fm7KyMmVnZ18xuddX+/bt09ChQzV06FBJUnZ2toYOHarly5dLks6cOeMOOpKUmpqqN998U/n5+UpPT9eTTz6p5557jnvcAEAY8ibY1CPgwBd+XZb60Y9+pMLCQl177bWtOnhWVtYVl7Uu19jdh7OysnTgwIFWHRcAYL81Xgaby9tzeQre8CvcPP3005o8ebLee+89DRo0SB07dvTYPnfu3IAUBwAw14Kx13l95qa+PeANv8LNyy+/rHfeeUfR0dEqLCz0+Fq4w+Eg3AAAWlR/FsabgJPNfW/gA7/CzbJly/Twww9r8eLFcjoDdpNjAEA7403AIdjAV34lk5qaGk2ZMoVgAwBotbmj05TdxCUngg384Vc6mT59urZs2RLoWgAA7dTc0Wmac0c/j3UEG/jLr8tStbW1WrVqld5++20NHjz4ignFq1evDkhxAID244Gsa/XLnZ9Jkubc0Y9gA7/5FW4OHjzovjfNoUOHPLZdPrkYAAB/PJDVuluNoH3zK9zs2rUr0HUAAAAEBDOCAQCAUQg3AADAKIQbAABgFMINAMB+RavU6dHumh2xVZLU4f0npJWdpaJV9taFsOTXhGIAAAKmaJW06xE5JD3Y8RXd4vxEkbsP123b9Ujdz8xFtpWH8MOZGwCAvXY96rF4q/Nws9uBlhBuAAD2GrXUY/GK26WNWha8WmAEwg0AwF6Zi6TUTFmNbbsmS8pcGOSCEO4INwAAexWtko4XqdH7239eKBU9HuSCEO4INwAAe7U0p6Z+UjHgJcINAMBeDebc+LwdIWVtwVGlLn5TawuO2lYD4QYAYK/MRdKoZbIuuzBVc+tPJTnqJhPzNfCwsbbgqFbnfypL0ur8T20LOIQbAID9MhfpwoMn3IuXMuZJK88TbMJIfbC5nF0Bh3ADAABapbFgU8+OgEO4AQAAfmsu2NQLdsAh3AAAAL94E2zqBTPgEG4AAIBf1ngZbPxt7y/CDQAA8MuCsde1aXt/EW4AAIBf5o5OU7aXgSV77HWaOzqtjSuqQ7gBAAB+8ybgBDPYSIQbwEMo3FkTAMJNcwEn2MFGItwAbqFyZ00ACEdzR6dpzh39PNbZEWwkwg0gKbTurAkA4eqBrGvdv8+5o58twUYi3AAhd2dNADDB5UEn2Ag3aNdC8c6aAIDWIdyg3QrVO2sCAFqHcIN2K1TvrAkAaB3CDdqtUL2zJgCgdQg3aLdC9c6aABCWilap06PdNTtiqySpw/tPSCs7S0Wrgl5Kh6AfEQgh9YGlubk3BBsAaEHRKmnXI3JIerDjK7rF+Ykidx+u27brkbqfmYuCVg5nbtDuhdqdNQEg7Ox61GPxVufhZre3NcINoNC6syYAhJ1RSz0WHY6G25cFrxYRbgC3ULmzJgCEncxFUmqmrMa2XZMlZS4MajmEG6ARdt5ZEwDCTtEq6XiRGp6wkSR9XigVPR7Ucgg3AACgdVqaU1M/qThICDcAAKB1Gsy58Xl7gBFuAABA62QukkYtk3XZhamaW38qyVE3mTiIXwOXCDcAACAQMhfpwoMn3IuXMuZJK88HPdhIhBsAAGAYwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAEkqWqVOj3bX7IitkqQO7z8hrewsFa2yty4AgM862F0AYLuiVdKuR+SQ9GDHV3SL8xNF7j5ct23XI3U/MxfZVh4AwDecuQF2PeqxeKvzcLPbAQChjXADjFrqsehwNNy+LHi1AABajXADZC6SUjNlNbbtmiwpc2GQCwIAtAbhBihaJR0vUsMTNpKkzwuloseDXBAAoDUIN0BLc2rqJxUDAMIC4QZoMOfG5+0AgJBCuAEyF0mjlsm67MJUza0/leSom0zM18ABIKwQbgBJylykCw+ecC9eypgnrTxPsAGAMBQS4WbdunXq27evoqOjNWLECO3du7fJtrm5uXI4HB6v6OjoIFYLAABCme3hZsuWLcrOztaKFStUXFys9PR0jRs3TmfPnm1yn7i4OJ05c8b9OnHiRJNtAQBA+2J7uFm9erVmzpypGTNm6IYbbtD69esVExOjTZs2NbmPw+FQUlKS+5WYmBjEigEAQCizNdzU1NRo//79GjNmjHud0+nUmDFjtGfPnib3+/rrr9WnTx+lpKRo4sSJOnz4cJNtq6urVVFR4fECAADmsjXcfPHFF6qtrb3izEtiYqJKS0sb3ad///7atGmT3njjDb3wwgtyuVwaOXKk/vKXvzTaPicnR/Hx8e5XSkpKwPsBAABCh+2XpXyVkZGhadOmaciQIcrMzNTrr7+uHj16aMOGDY22X7JkicrLy92vU6dOBbliAAAQTB3sPHj37t0VERGhsrIyj/VlZWVKSkry6j06duyooUOH6rPPPmt0e1RUlKKiolpdKwAACA+2nrmJjIzUsGHDVFBQ4F7ncrlUUFCgjIwMr96jtrZWBw8eVHJycluVCQAAwoitZ24kKTs7W9OnT9dNN92k4cOH66mnnlJVVZVmzJghSZo2bZp69eqlnJwcSdL//M//6JZbblG/fv10/vx5Pf744zpx4oTuu+8+O7sBAABChO3hZsqUKTp37pyWL1+u0tJSDRkyRDt27HBPMj558qSczn+eYPrb3/6mmTNnqrS0VF26dNGwYcP04Ycf6oYbbrCrCwAAIITYHm4kafbs2Zo9e3aj2woLCz2W16xZozVr1gShKgAAEI7C7ttSAAAAzSHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMEpIhJt169apb9++io6O1ogRI7R3795m27/yyiu6/vrrFR0drUGDBmn79u1BqhQAAIQ628PNli1blJ2drRUrVqi4uFjp6ekaN26czp4922j7Dz/8UPfcc4/uvfdeHThwQJMmTdKkSZN06NChIFcOAABCUQe7C1i9erVmzpypGTNmSJLWr1+vN998U5s2bdLixYuvaP+LX/xC3/3ud7Vw4UJJ0s9+9jPl5+fr6aef1vr164Na++VcLpdclxySpEtffaVL1ZdsqwX+uVRVwRiGMcYv/DGG4e/yMXS5XLbVYWu4qamp0f79+7VkyRL3OqfTqTFjxmjPnj2N7rNnzx5lZ2d7rBs3bpzy8vIabV9dXa3q6mr3ckVFResLb4Tr/HkdeTW5buHV77XJMRAMjGF4Y/zCH2MY/urGsNdPzktxXWypwNbLUl988YVqa2uVmJjosT4xMVGlpaWN7lNaWupT+5ycHMXHx7tfKSkpgSm+gZir4trkfQEACEd2/l20/bJUW1uyZInHmZ6Kioo2CTjOLl2U9sH7AX9fAADCkbOLPWdtJJvDTffu3RUREaGysjKP9WVlZUpKSmp0n6SkJJ/aR0VFKSoqKjAFN8PpdMrZrVubHwcAADTP1stSkZGRGjZsmAoKCtzrXC6XCgoKlJGR0eg+GRkZHu0lKT8/v8n2AACgfbH9slR2dramT5+um266ScOHD9dTTz2lqqoq97enpk2bpl69eiknJ0eSNG/ePGVmZurJJ5/UhAkTtHnzZu3bt08bN260sxsAACBE2B5upkyZonPnzmn58uUqLS3VkCFDtGPHDvek4ZMnT8rp/OcJppEjR+qll17SQw89pKVLlyotLU15eXkaOHCgXV0AAAAhxGFZlmV3EcFUUVGh+Ph4lZeXKy6ObzgBABAOfPn7bfsdigEAAAKJcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGMX2xy8EW/0NmSsqKmyuBAAAeKv+77Y3D1Zod+GmsrJSkpSSkmJzJQAAwFeVlZWKj49vtk27e7aUy+XS6dOnFRsbK4fDEdD3rqioUEpKik6dOmXkc6tM759kfh/pX/gzvY/0L/y1VR8ty1JlZaV69uzp8UDtxrS7MzdOp1O9e/du02PExcUZ+y+tZH7/JPP7SP/Cn+l9pH/hry362NIZm3pMKAYAAEYh3AAAAKMQbgIoKipKK1asUFRUlN2ltAnT+yeZ30f6F/5M7yP9C3+h0Md2N6EYAACYjTM3AADAKIQbAABgFMINAAAwCuEGAAAYhXDjo3Xr1qlv376Kjo7WiBEjtHfv3mbbv/LKK7r++usVHR2tQYMGafv27UGq1D++9C83N1cOh8PjFR0dHcRqfbN7927ddddd6tmzpxwOh/Ly8lrcp7CwUDfeeKOioqLUr18/5ebmtnmd/vK1f4WFhVeMn8PhUGlpaXAK9lFOTo5uvvlmxcbGKiEhQZMmTdKRI0da3C+cPoP+9DGcPofPPPOMBg8e7L65W0ZGht56661m9wmn8fO1f+E0do157LHH5HA4NH/+/Gbb2TGGhBsfbNmyRdnZ2VqxYoWKi4uVnp6ucePG6ezZs422//DDD3XPPffo3nvv1YEDBzRp0iRNmjRJhw4dCnLl3vG1f1LdHSjPnDnjfp04cSKIFfumqqpK6enpWrdunVftjx8/rgkTJmjUqFEqKSnR/Pnzdd999+ntt99u40r942v/6h05csRjDBMSEtqowtYpKirSrFmz9Pvf/175+fn6+9//rjvvvFNVVVVN7hNun0F/+iiFz+ewd+/eeuyxx7R//37t27dPd9xxhyZOnKjDhw832j7cxs/X/knhM3YN/eEPf9CGDRs0ePDgZtvZNoYWvDZ8+HBr1qxZ7uXa2lqrZ8+eVk5OTqPt/+3f/s2aMGGCx7oRI0ZY//Vf/9WmdfrL1/79+te/tuLj44NUXWBJsrZu3dpsm0WLFlkDBgzwWDdlyhRr3LhxbVhZYHjTv127dlmSrL/97W9BqSnQzp49a0myioqKmmwTbp/BhrzpYzh/Di3Lsrp06WI999xzjW4L9/GzrOb7F65jV1lZaaWlpVn5+flWZmamNW/evCbb2jWGnLnxUk1Njfbv368xY8a41zmdTo0ZM0Z79uxpdJ89e/Z4tJekcePGNdneTv70T5K+/vpr9enTRykpKS3+H0q4Cafxa40hQ4YoOTlZY8eO1QcffGB3OV4rLy+XJHXt2rXJNuE+ht70UQrPz2Ftba02b96sqqoqZWRkNNomnMfPm/5J4Tl2s2bN0oQJE64Ym8bYNYaEGy998cUXqq2tVWJiosf6xMTEJucolJaW+tTeTv70r3///tq0aZPeeOMNvfDCC3K5XBo5cqT+8pe/BKPkNtfU+FVUVOjChQs2VRU4ycnJWr9+vV577TW99tprSklJUVZWloqLi+0urUUul0vz58/XrbfeqoEDBzbZLpw+gw1528dw+xwePHhQ3/rWtxQVFaX7779fW7du1Q033NBo23AcP1/6F25jJ0mbN29WcXGxcnJyvGpv1xi2u6eCI3AyMjI8/o9k5MiR+va3v60NGzboZz/7mY2VwRv9+/dX//793csjR47UsWPHtGbNGj3//PM2VtayWbNm6dChQ3r//fftLqXNeNvHcPsc9u/fXyUlJSovL9err76q6dOnq6ioqMkAEG586V+4jd2pU6c0b9485efnh/zEZ8KNl7p3766IiAiVlZV5rC8rK1NSUlKj+yQlJfnU3k7+9K+hjh07aujQofrss8/aosSga2r84uLi1KlTJ5uqalvDhw8P+cAwe/Zsbdu2Tbt371bv3r2bbRtOn8HL+dLHhkL9cxgZGal+/fpJkoYNG6Y//OEP+sUvfqENGzZc0TYcx8+X/jUU6mO3f/9+nT17VjfeeKN7XW1trXbv3q2nn35a1dXVioiI8NjHrjHkspSXIiMjNWzYMBUUFLjXuVwuFRQUNHk9NSMjw6O9JOXn5zd7/dUu/vSvodraWh08eFDJycltVWZQhdP4BUpJSUnIjp9lWZo9e7a2bt2qnTt3KjU1tcV9wm0M/eljQ+H2OXS5XKqurm50W7iNX2Oa619DoT52o0eP1sGDB1VSUuJ+3XTTTfqP//gPlZSUXBFsJBvHsE2nKxtm8+bNVlRUlJWbm2t98skn1k9+8hOrc+fOVmlpqWVZljV16lRr8eLF7vYffPCB1aFDB+uJJ56w/vjHP1orVqywOnbsaB08eNCuLjTL1/49/PDD1ttvv20dO3bM2r9/v3X33Xdb0dHR1uHDh+3qQrMqKyutAwcOWAcOHLAkWatXr7YOHDhgnThxwrIsy1q8eLE1depUd/vPP//ciomJsRYuXGj98Y9/tNatW2dFRERYO3bssKsLzfK1f2vWrLHy8vKso0ePWgcPHrTmzZtnOZ1O691337WrC8164IEHrPj4eKuwsNA6c+aM+/XNN9+424T7Z9CfPobT53Dx4sVWUVGRdfz4cevjjz+2Fi9ebDkcDuudd96xLCv8x8/X/oXT2DWl4belQmUMCTc++uUvf2ldffXVVmRkpDV8+HDr97//vXtbZmamNX36dI/2v/3tb63rrrvOioyMtAYMGGC9+eabQa7YN770b/78+e62iYmJ1ve+9z2ruLjYhqq9U//V54av+j5Nnz7dyszMvGKfIUOGWJGRkdY111xj/frXvw563d7ytX8///nPrWuvvdaKjo62unbtamVlZVk7d+60p3gvNNY3SR5jEu6fQX/6GE6fwx//+MdWnz59rMjISKtHjx7W6NGj3X/4LSv8x8/X/oXT2DWlYbgJlTF0WJZlte25IQAAgOBhzg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQCjZGVlaf78+XaXAcBG3KEYgFG++uordezYUbGxsXaXAsAmhBsAAGAULksBMAqXpQAQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARuEmfgAAwCicuQEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUf4/LERKtLh5JOQAAAAASUVORK5CYII=",
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BVXvgG8qefAIUTPHXD0Z9vmwDYUCmleu9PocPaqor2P7IBYJgX+98z7jmToiqa3iqSz2e6CcQBFyAWr58uTp06KDIyEglJSVp+/btLtu/++676tq1qyIjI9WjRw/9/e9/d1puGIaefvpptW3bVo0bN9bAgQN14EDw/aKt+ML11w9Gfb5sA2FAppXrvb6HD2qqy9/+yAW7YF/vfM/UP0RZEZ7M1mNlP4EioALU22+/rYyMDM2dO1dffvmlevXqpUGDBunEiRM1tt+6daseeOABjRs3Tl999ZWGDh2qoUOHateuXY42WVlZys7O1ooVK7Rt2zY1bdpUgwYN0rlz57z1tjzLniVjXozKNrwoQ9L5DS/ImBcj2bNMdWP5B8OeJc2LkeyLqk2bqyt/5eNK39RX6aHvS5Kmhq5V+qa+yl/5uFvPrzrAcmroWn0b8aBTX99GPKipoWtrbO8N2bkHdH7DCzXWdX7DC5Z9iZv9HdZ3vTuxaFuwvC+rWFiTJ9Z7/srHlTDrbxV91GO9N17Q0lFXo82L69SXldu7laz8nrGy/bRG76sgcoRTXQWRIzSt0ftuv1bl94Kr7z93vh+s6ieQ2AzDMHxdhLuSkpJ0yy236JVXXpEklZeXKz4+XlOnTtWsWbOuaH///ffrzJkz+vjjjx3zbrvtNt10001asWKFDMNQXFycHn30UT322GOSpOLiYrVp00arVq3S8OHD3aqrpKRE0dHRKi4uVlRUlAXv1CL2LClvvmNy88UbdEfo7svL+z8hpWTW2o27/3ty+389FtWVv/JxJR9ecdV+8ttPVPKYF132UfVD/2jYe1ft66Xzv9Oyi/eZ/p9dfVT+MamtrrA7Z9VaU9XfYWOd057IsZKkbude18+KdLRz5/1Zsd4dqm0LSkiRCuyXp93cFizvyyoW1uTJ9V7Xz6CVfVm5vVvJyu+ZSq4+g5Kb36UWrHervv/8+Xu0NvX5+x0wAaqsrExNmjTRe++9p6FDhzrmP/zwwzp16pQ+/PDDK57Trl07ZWRkaPr06Y55c+fO1QcffKB//vOf+vbbb3X99dfrq6++0k033eRok5KSoptuukl//OMf3arNEwGqvLxc5f/5T736sC3tKJsu/3oNQ7LZLi83ZJMx46DLPl7d9K1W2N0faDwx5XpN6JfolbomfHGXQqo+r1o/5Yb0at+cWuuxsi+rVK73L5tOrLWum8+scLneq/8OG6tU+c0ekSQln/6jflaEU/va+rJyXV2xLUiq0pVb24In+rKKVTV5fL3X4TNoZV9Wbu9Wsvp7pvJz6Ooz6O57s2K993kuR4bk9nq3Sdrx1F0e66c2Iddco5AQaw+cNYgAdezYMV133XXaunWrkpOTHfMzMzNlt9u1bdu2K54THh6u1atX64EHHnDM+9Of/qRnnnlGx48f19atW/XLX/5Sx44dU9u2bR1t/vCHP8hms+ntt9+usZbS0lKVlpY6pktKShQfH29pgLrw44868Ms7LOkLAIBA12nLZjW69lpL+6xPgAqoMVD+YuHChYqOjnY84uPjLX+Ns2dKLO8TAIBA5W9/Fxv5ugB3tWzZUqGhoTp+/LjT/OPHjys2NrbG58TGxrpsX/nv8ePHnfZAHT9+3OmQXnWzZ89WRkaGY7pyD5SVQmJi1OV3hZKk0xO+UpOm7ifjyt2pE8L+pskR667abnnpvXrt/JBad6dauev51U3fqnxrdq11hd4+rdZDUu6+P7d2iX+2TCH5L191cXnyDOm2dNd9VHP2TImavdpbkvnfoWTNuqralzuHYt05FOi3690Pf4dW1GTlevfn36GV23ul+vz+PLKuqvVdqU6HJC3c3r94+1ndemz1VZdvj3tYfe9/2mv9VFX1d3g2JsbUcz0tYA7hSRWDyG+99VYtW7ZMUsU4oXbt2ik9Pf2qg8jPnj2rdesub/y33367evbs6TSI/LHHHtOjjz4qqSIMtW7d2ueDyM+eLlaTxe0qfn7siJo0i3b7uZUD+r6NeLDW49GJpWvcGtBX2efVBj+a6cOKurJzDyh9U99a+3ml3xfuDVacFyO5GE8g2aR5p2rvp4r6/A4ddcyLqXWcg83Numo7GcDd36Hfrnd//B1aVJNV6z1h1t9kSG5/Bm2SCl4Y4rq4au/xSu6vdyu3d6n+vz/Lt/dqfS/N2a8ZdR1QbeF6t+yz44+fwVo0mEN4GRkZeu2117R69Wrt2bNHkyZN0pkzZzRmzBhJ0qhRozR79mxH+0ceeUTr16/XSy+9pL1792revHn64osvlJ5ekcptNpumT5+u559/Xh999JG++eYbjRo1SnFxcU4D1QNN5fVBll74ndP8zeU3Ok0vvfA7t8+GsOKaI5Wn5rpTV9X2V6tnW4eJLvvZ1mGi+19M/ec4TdquT3W53Fts1V63+nusvtwVK36Hnl7v1fsytd6t7Msi+e3/X6fp6jVVX341Vq33ytt6uPsZdOs2INXXa2Kq6+UuWLm9W8Hy7b1a3wUvDKn72WgWrnfLPjt++Bn0pIAKUPfff78WL16sp59+WjfddJN27typ9evXq02bNpKkI0eOqLCw0NH+9ttv15o1a/Tqq6+qV69eeu+99/TBBx/oxhsv/1IzMzM1depUTZgwQbfccotOnz6t9evXKzIy8orXDyTTBnRS2J2z9NL536nckBaf/70eOj/HMV2X04GnDeikqXc6tzdzOmrll/Gyi/e5rGvZxfuc2l9N8pgXld9+Yo39mDqlW6o43bf/E5JsUv8npVEfVpn2wenv1eoyZHN6j0Yd66opRJk9pdgT673q+yvrN1t1Wu9W9mWB7NwDemBfP5fb+gP7+rl9XRwr1nvl79+dz6Db24WVnx2Lt3crWLq9W8kD612yKb/9RI06P0f57Sea78uqfgJEQB3C81f+dgivqqsdtqnzdTjKzkgL4iRJf7r9U02+u6cl9dSnvup9+ss1Rqze9VzvXf4W92Xlej9bdkHdn/5EkvR/zw5Sk/C6D8+0tK86/g7NXHla8v72bsXhXE+zYhu18jPor98zwc6fD+EFzCBy1E3lB9wTH/zJqddbUk91ZuurbGtVuPBX0wZ0suy9WdFXQ1nvdVGXK0+7u/6sWO+uPof+Egys3N6twPaO6ghQDYC/ffA98eXtb1+2DQXrvWYz7upsag+UW2ONqrAyADeUvSqvfVqgR+65qV59sL2jKgJUA+FvH/yG9uWNhsWdPa2VfLnd+9t/rqz22qcFeuTSzyvsh2QLbxp07xG+E1CDyBFcKge02kR4QvBxddZjJX/Y7ut9Npifyl/5uKZ+luKYnhT6Ud1vvAzUgD1Q8Cl/2zMGWCkQxhoFI8cNgKtcg2ha2AeSpOTDK5S/Ur47ew5Bgz1QAOBBVlw6Au7Lzj2gpO9WuGyT9N0Kty8fAVwNAQpA0PrzxtpvX+MNHK72jspLDVS/UGh1Sy78Xkty9hOiUC8EKABBpWpoWrbhoN/8kQzWsUb+pPLyEcsu3qfNF29Q9ascGob06cUb9crF/3JqD9QFAQpA0MjOPaBlGw46zWNPQ8NReTmIqaFrdUfo7mr3Yau4L9uvQncpPfR9p/ZAXTCIHEBQcHV17cr57P0JbpW/3/RN7znNr35T24xG7yr8zsfZHlAv7IECEPDcuXUKe6IaBk/eABioigAFIKCZue8cIaph8NsbACOoEKAABLS63HcOwS95zIt6pd8XjgHjyy7ep1f6fUF4gmUIUAACmtmBwAwcbji4fAQ8iUHkAAJaoNx3Dr7B3Q7gKeyBAhDwAuW+cwCCBwEKQFBwFaIITwCsRoACEDS47xwAb2EMFICgUhmWlubs1wzCEwAPIUABCDoMHAbgaRzCAwAAMIkABQAAYBIBCoBf+fPGQ74uAQBqRYCC++xZ0oLrLk9vXirNi6mYD9RD1dC0bMNB7lcHwO8xiBzusWdJefOd521aVPFv5fyUTO/WhKCQnXtAyzYcdJpXeVVxBoID8FfsgYJ78hbUbzlQg+zcA1e9BcuSnP3siQLgtwhQcE//ObUsf8I7dSBouApPlQhRAPwVAQruScmUElJqXpaYKqXM9Go5CGzuhKdKhCgA/ogABffYs6QCe83Lvt0o2Rd5tRwEtqVuhqe6tgcATyNAwT21joGa73o5UMWMq9z016r2AOBpBCi4p/oYqMRU18sBF2q66e/VcDNgAP6IAAX3pGReGihuk/o/KY36sMr0E1zCAKa5E6IITwD8FdeBgvtSMp2DUvVpwKTKcFTTgHLCEwB/xh4oAD5V054owhMAf8ceKAA+VxmWlubs1wzCE4AAQIAC4BemDehEcAIQMDiEBwAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJgVMgDp58qRGjBihqKgoxcTEaNy4cTp9+rTL55w7d05TpkzRtddeq2bNmmnYsGE6fvy4UxubzXbF46233vLkW6mdPUuNF7d3TDbK/6M0L0ayZ/muJgAA4BAwAWrEiBHavXu3cnJy9PHHH2vTpk2aMGGCy+fMmDFD69at07vvviu73a5jx47pvvvuu6LdypUrVVhY6HgMHTrUQ+/CDfYsKW++bDIcs8K3vCTJkPLmE6IAAPADjXxdgDv27Nmj9evX6/PPP1ffvn0lScuWLdPgwYO1ePFixcXFXfGc4uJi/eUvf9GaNWt05513SqoISt26ddNnn32m2267zdE2JiZGsbGx3nkztclbUPvylEzv1AIAAGoUEHug8vPzFRMT4whPkjRw4ECFhIRo27ZtNT5nx44dOn/+vAYOHOiY17VrV7Vr1075+flObadMmaKWLVvq1ltv1euvvy7DMKp356S0tFQlJSVOD8v0n1PL8iesey0AAFAnARGgioqK1Lp1a6d5jRo1UosWLVRUVHTV54SHhysmJsZpfps2bZye8+yzz+qdd95RTk6Ohg0bpsmTJ2vZsmUu61m4cKGio6Mdj/j4+Lq9sZqkZEoJKaoxwiWmSikzrXstAABQJz4NULNmzapxEHfVx969ez1aw1NPPaVf/vKX6t27tx5//HFlZmZq0aJFLp8ze/ZsFRcXOx5Hjx61riB7llRgl62mZd9ulOyuawMAAJ7n0zFQjz76qEaPHu2yTWJiomJjY3XixAmn+RcuXNDJkyevOnYpNjZWZWVlOnXqlNNeqOPHj7sc75SUlKTnnntOpaWlioiIqLFNRETEVZfVW7UxUIYh2aqmqbz57IUCAMDHfBqgWrVqpVatWtXaLjk5WadOndKOHTvUp08fSdKGDRtUXl6upKSkGp/Tp08fhYWFKTc3V8OGDZMk7du3T0eOHFFycvJVX2vnzp265pprPBeQatN/TkVIumRz+Y36Vegu5+UAAMCnAmIMVLdu3ZSWlqbx48dr+/bt2rJli9LT0zV8+HDHGXg//PCDunbtqu3bt0uSoqOjNW7cOGVkZCgvL087duzQmDFjlJyc7DgDb926dfrv//5v7dq1SwcPHtSf//xnLViwQFOnTvXZe1VKpvLbT1S5IS0+/3s9dH6OXjr/O5UbUn77iZyBBwCAHwiIyxhI0htvvKH09HQNGDBAISEhGjZsmLKzsx3Lz58/r3379uns2bOOeUuXLnW0LS0t1aBBg/SnP/3JsTwsLEzLly/XjBkzZBiGOnbsqCVLlmj8+PFefW9VZece0JJ9/ST1c8xbdvE+Lbt4n7RPysg9oGkDOvmsPgAAINmM2s7ZR61KSkoUHR2t4uJiRUVF1bmf7NwDWpKzv9Z2GXd1JkQFgLOni9VkcbuKnx87oibNon1cEczidwj4lqc/g/X5+x0Qh/AaAnfDkyQtydmv7NwDHq4IAABcDQHKTyx1MzzVtT0AALAOAcpPzLirs0fbAwAA6xCg/MS0AZ2U4WYoYgwUAAC+RYDyI+6EKMITAAC+R4DyM65CFOEJAAD/QIDyQzWFKMITAAD+I2AupNnQVIalpTn7NYPwBACAXyFA+bFpAzoRnAAA8EMcwgMAADCJAAUAAGASAQoAAMAkt8dAlZSUmO68PjfWBQAA8FduB6iYmBjZbDa3O7bZbNq/f78SExPrVBgAAIC/MnUW3nvvvacWLVrU2s4wDA0ePLjORQEAAPgztwNU+/bt1a9fP1177bVutU9MTFRYWFidCwMAAPBXbgeogoICUx3v2rXLdDEAAACBgLPwAAAATHJ7D1R2drYmTJigyMhIZWdnu2zbrFkz3XDDDUpKSqp3gQAAAP7G7QC1dOlSjRgxQpGRkVq6dKnLtqWlpTpx4oRmzJihRYsW1btIAAAAf1KnMVDujIfKycnRgw8+SIACAABBx2NjoO644w49+eSTnuoeAADAZywPUH/961916NAhNW7cWI888ojV3QMAAPic5QFq9OjR6t69u6ZOnWp11wAAAH7B8gBVXl6uvXv3qlu3blZ3DQAA4Bc8MgYqISFBkydP9kTXAAAAPuf2WXglJSWKiopy/OxKZTsAAIBg5HaAuuaaa1RYWKjWrVsrJiZGNpvtijaGYchms+nixYuWFgkAAOBP3A5QGzZsUIsWLSRJeXl5HisIAADA37kdoFJSUmr8GQAAoKFxexD5119/rfLycrc73r17ty5cuFCnogAAAPyZ2wGqd+/e+vHHH93uODk5WUeOHKlTUQAAAP7M7UN4hmHoqaeeUpMmTdxqX1ZWVueiAAAA/JnbAapfv37at2+f2x0nJyercePGdSoKAADAn7kdoDZu3OjBMgAAAAKH2wFKksaOHVtrG5vNpr/85S91LggAAMDfmQpQq1atUvv27dW7d28ZhuGpmgAAAPyaqQA1adIkvfnmmyooKNCYMWM0cuRIx8U1AQAAGgpTNxNevny5CgsLlZmZqXXr1ik+Pl5/+MMf9Mknn7BHCgAANBimApQkRURE6IEHHlBOTo7+7//+TzfccIMmT56sDh066PTp056oEQAAwK+YDlBOTw4Jkc1mk2EY3EAYAAA0GKYDVGlpqd58803ddddd6ty5s7755hu98sorOnLkiJo1a+aJGoGA99qnBb4uAQBgIVODyCdPnqy33npL8fHxGjt2rN588021bNnSU7UBAe21Twv0yKWfV9gPyRbeVNMGdPJpTQAAa5gKUCtWrFC7du2UmJgou90uu91eY7u1a9daUhwQqLJzD2iF/ZAeibw8b0nOfkkiRAFAEDAVoEaNGiWbzeapWoCgkJ17QEty9qumGxkRogAgOJi+kCaAq6sMT64QogAg8NXrLDwAl7kTniotydmv7NwDHq4IAOApBCjAIkvdDE91bQ8A8B8EKMAiM+7q7NH2AAD/QYACLDJtQCdluBmKMu7qzBgoAAhgBCjAQu6EKMITAAQ+U2fhAahdZTj6c87XVywjPAFAcCBAAR4wbUAnNbr4s7T18jzCEwAEDw7hAR4yOfV6x89T7+xEeAKAIEKAArygapgCAAQ+AhQAAIBJAROgTp48qREjRigqKkoxMTEaN26cTp8+7fI5r776qlJTUxUVFSWbzaZTp05Z0i9QK3uWtOC6y9Obl0rzYirmAwACXsAEqBEjRmj37t3KycnRxx9/rE2bNmnChAkun3P27FmlpaVpzpw5lvYLuGTPkvLmSzIuz9u0qGI6bz4hCgCCgM0wDKP2Zr61Z88ede/eXZ9//rn69u0rSVq/fr0GDx6s77//XnFxcS6fv3HjRvXv31//+c9/FBMTY1m/lUpKShQdHa3i4mJFRUXV7U0ieMyLkVN4uoJNmnfKO7WgXs6eLlaTxe0qfn7siJo0i/ZxRUDD4unPYH3+fgfEHqj8/HzFxMQ4Qo4kDRw4UCEhIdq2bZvX+y0tLVVJSYnTA3Dof/U9nhXLn/BOHQAAjwmIAFVUVKTWrVs7zWvUqJFatGihoqIir/e7cOFCRUdHOx7x8fF1rgFBKCVTSkipeVliqpQy06vlAACs59MANWvWLNlsNpePvXv3+rLEGs2ePVvFxcWOx9GjR31dEvyJPUsqsNe87NuNkn2RV8sBAFjPp1cif/TRRzV69GiXbRITExUbG6sTJ044zb9w4YJOnjyp2NjYOr9+XfuNiIhQREREnV8XQS5vQS3L57MXCgACnE8DVKtWrdSqVata2yUnJ+vUqVPasWOH+vTpI0nasGGDysvLlZSUVOfX91S/aOD6z7l0Ft4liakVe56qLgcABLSAGAPVrVs3paWlafz48dq+fbu2bNmi9PR0DR8+3HGm3A8//KCuXbtq+/btjucVFRVp586dOnjwoCTpm2++0c6dO3Xy5Em3+wVMS8m8NFDcJvV/Uhr1YZXpJyqWAwACWkAEKEl644031LVrVw0YMECDBw/WHXfcoVdffdWx/Pz589q3b5/Onj3rmLdixQr17t1b48ePlyT169dPvXv31kcffeR2v0CdpGRWXKqg8lCdY5rwBADBICCuA+XvuA4UEJy4DhTgW1wHCgAAIIgQoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAbnjt0wJflwDAjxCgAOAqqoamFfZDys494MNqAPgTAhQA1CA794BW2A85zVuSs58QBUASAQoArpCde0BLcvbXuIwQBUAiQAGAE1fhqRIhCgABCgAucSc8VSJEAQ0bAQoALlnqZniqa3sAwYMABQCXzLirs0fbAwgeBCgAuGTagE7KcDMUZdzVWdMGdPJwRQD8FQEKAKpwJ0QRngA08nUBAOBvKsPRn3O+vmIZ4QmARIACgBpNG9BJjS7+LG29PI/wBKASh/AA4Comp17v+HnqnZ0ITwAcCFAA4IaqYQoACFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwKSACVAnT57UiBEjFBUVpZiYGI0bN06nT592+ZxXX31VqampioqKks1m06lTp65o06FDB9lsNqfHCy+84KF3ASBg2LOkBdddnt68VJoXUzEfQIMXMAFqxIgR2r17t3JycvTxxx9r06ZNmjBhgsvnnD17VmlpaZozZ47Lds8++6wKCwsdj6lTp1pZOoBAY8+S8uZLMi7P27SoYjpvPiEK8IHXPi3wdQlOGvm6AHfs2bNH69ev1+eff66+fftKkpYtW6bBgwdr8eLFiouLq/F506dPlyRt3LjRZf/NmzdXbGyslSUDCGR5C2pfnpLpnVqABuy1Twv0yKWfV9gPyRbeVNMGdPJpTZUCYg9Ufn6+YmJiHOFJkgYOHKiQkBBt27at3v2/8MILuvbaa9W7d28tWrRIFy5ccNm+tLRUJSUlTg8AQaS/673W6v+Ed+oAGrDs3ANaYT/kNG9Jzn5l5x7wUUXOAmIPVFFRkVq3bu00r1GjRmrRooWKiorq1fe0adN08803q0WLFtq6datmz56twsJCLVmy5KrPWbhwoZ555pl6vS4AP5aSKX23WSqwX7ksMVVKmen1koCGJDv3gJbk7FfjGpYtydkvST7fE+XTPVCzZs26YgB39cfevXs9WkNGRoZSU1PVs2dPTZw4US+99JKWLVum0tLSqz5n9uzZKi4udjyOHj3q0RoBeJk9q+bwJEnfbpTsi7xaDtCQVIYnV/xhT5RP90A9+uijGj16tMs2iYmJio2N1YkTJ5zmX7hwQSdPnrR87FJSUpIuXLig7777Tl26dKmxTUREhCIiIix9XQB+pNYxUPPZCwV4gDvhqZKv90T5NEC1atVKrVq1qrVdcnKyTp06pR07dqhPnz6SpA0bNqi8vFxJSUmW1rRz506FhIRcccgQQAPSf86ls/AuSUyt2PNUdTkAyy11MzxVbe+rABUQg8i7deumtLQ0jR8/Xtu3b9eWLVuUnp6u4cOHO87A++GHH9S1a1dt377d8byioiLt3LlTBw8elCR988032rlzp06ePCmpYnD6yy+/rH/+85/69ttv9cYbb2jGjBkaOXKkrrnmGu+/UQD+ISXz0kBxm9T/SWnUh1Wmn+AMPMBDZtzV2aPtrWQzDMOovZnvnTx5Uunp6Vq3bp1CQkI0bNgwZWdnq1mzZpKk7777TgkJCcrLy1Nqaqokad68eTUO9l65cqVGjx6tL7/8UpMnT9bevXtVWlqqhIQEPfTQQ8rIyDB1iK6kpETR0dEqLi5WVFSUJe8XAICGqOphvMY6pz2RYyVJ3c69rp8V6WiXcVfneu99qs/f74AJUP6MAAUAgHUun4VXc4CyIjxJ9fv7HRCXMQAAAA1HZTj6c87XVyyzKjzVFwEKAAD4nWkDOqnRxZ+lrZfn+Ut4kgJkEDkAAGh4Jqde7/h56p2d/CY8SQQoAAAQAKqGKX9AgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJAROgTp48qREjRigqKkoxMTEaN26cTp8+7bL91KlT1aVLFzVu3Fjt2rXTtGnTVFxc7NTuyJEjGjJkiJo0aaLWrVtr5syZunDhgqffDgAAcMWeJS247vL05qXSvJiK+X6gka8LcNeIESNUWFionJwcnT9/XmPGjNGECRO0Zs2aGtsfO3ZMx44d0+LFi9W9e3cdPnxYEydO1LFjx/Tee+9Jki5evKghQ4YoNjZWW7duVWFhoUaNGqWwsDAtWLDAm28PAABUsmdJefOd521aVPFv5fyUTO/WVI3NMAzDpxW4Yc+ePerevbs+//xz9e3bV5K0fv16DR48WN9//73i4uLc6ufdd9/VyJEjdebMGTVq1Ej/+7//q1//+tc6duyY2rRpI0lasWKFHn/8cf3rX/9SeHi4W/2WlJQoOjpaxcXFioqKqtubBAAAFebFSHIVT2zSvFP1fpn6/P0OiEN4+fn5iomJcYQnSRo4cKBCQkK0bds2t/upXEGNGjVy9NujRw9HeJKkQYMGqaSkRLt3775qP6WlpSopKXF6AAAAi/SfU8vyJ7xThwsBEaCKiorUunVrp3mNGjVSixYtVFRU5FYf//73v/Xcc89pwoQJTv1WDU+SHNOu+l24cKGio6Mdj/j4eHffCgAAqE1KppSQUvOyxFQpZaZXy6mJTwPUrFmzZLPZXD727t1b79cpKSnRkCFD1L17d82bN6/e/c2ePVvFxcWOx9GjR+vdJwAAuMSeJRXYa1727UbJvsir5dTEp4PIH330UY0ePdplm8TERMXGxurEiRNO8y9cuKCTJ08qNjbW5fN/+uknpaWlqXnz5nr//fcVFhbmWBYbG6vt27c7tT9+/Lhj2dVEREQoIiLC5esCAIA6yqvlRK68+T7fC+XTANWqVSu1atWq1nbJyck6deqUduzYoT59+kiSNmzYoPLyciUlJV31eSUlJRo0aJAiIiL00UcfKTIy8op+58+frxMnTjgOEebk5CgqKkrdu3evxzsDAAB11n+O81l4iakVe56qLvexgBgD1a1bN6WlpWn8+PHavn27tmzZovT0dA0fPtxxBt4PP/ygrl27OvYolZSU6O6779aZM2f0l7/8RSUlJSoqKlJRUZEuXrwoSbr77rvVvXt3PfTQQ/rnP/+pTz75RE8++aSmTJnCHiYAAHwlJfPSQHGb1P9JadSHVaaf8PklDKQAuYyBVHFhzPT0dK1bt04hISEaNmyYsrOz1axZM0nSd999p4SEBOXl5Sk1NVUbN25U//79a+yroKBAHTp0kCQdPnxYkyZN0saNG9W0aVM9/PDDeuGFFxxn6rmDyxgAABB46vP3O2AClD8jQAEAEHiC/jpQAAAA/oQABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADDJpzcTDhaVF3MvKSnxcSUAAMBdlX+363JTFgKUBX766SdJUnx8vI8rAQAAZv3000+Kjo429RzuhWeB8vJyHTt2TM2bN5fNZrOs35KSEsXHx+vo0aPcY8+LWO++wXr3Dda7b7DefaP6ejcMQz/99JPi4uIUEmJuVBN7oCwQEhKiX/ziFx7rPyoqig+YD7DefYP17husd99gvftG1fVuds9TJQaRAwAAmESAAgAAMIkA5cciIiI0d+5cRURE+LqUBoX17husd99gvfsG6903rFzvDCIHAAAwiT1QAAAAJhGgAAAATCJAAQAAmESAAgAAMIkA5ceWL1+uDh06KDIyUklJSdq+fbuvSwpq8+bNk81mc3p07drV12UFnU2bNunee+9VXFycbDabPvjgA6flhmHo6aefVtu2bdW4cWMNHDhQBw4c8E2xQaS29T569Ogrtv+0tDTfFBskFi5cqFtuuUXNmzdX69atNXToUO3bt8+pzblz5zRlyhRde+21atasmYYNG6bjx4/7qOLg4M56T01NvWJ7nzhxoqnXIUD5qbffflsZGRmaO3euvvzyS/Xq1UuDBg3SiRMnfF1aULvhhhtUWFjoeGzevNnXJQWdM2fOqFevXlq+fHmNy7OyspSdna0VK1Zo27Ztatq0qQYNGqRz5855udLgUtt6l6S0tDSn7f/NN9/0YoXBx263a8qUKfrss8+Uk5Oj8+fP6+6779aZM2ccbWbMmKF169bp3Xffld1u17Fjx3Tffff5sOrA5856l6Tx48c7be9ZWVnmXsiAX7r11luNKVOmOKYvXrxoxMXFGQsXLvRhVcFt7ty5Rq9evXxdRoMiyXj//fcd0+Xl5UZsbKyxaNEix7xTp04ZERERxptvvumDCoNT9fVuGIbx8MMPG7/97W99Uk9DceLECUOSYbfbDcOo2LbDwsKMd99919Fmz549hiQjPz/fV2UGnerr3TAMIyUlxXjkkUfq1S97oPxQWVmZduzYoYEDBzrmhYSEaODAgcrPz/dhZcHvwIEDiouLU2JiokaMGKEjR474uqQGpaCgQEVFRU7bfnR0tJKSktj2vWDjxo1q3bq1unTpokmTJunHH3/0dUlBpbi4WJLUokULSdKOHTt0/vx5p+29a9euateuHdu7haqv90pvvPGGWrZsqRtvvFGzZ8/W2bNnTfXLzYT90L///W9dvHhRbdq0cZrfpk0b7d2710dVBb+kpCStWrVKXbp0UWFhoZ555hn96le/0q5du9S8eXNfl9cgFBUVSVKN237lMnhGWlqa7rvvPiUkJOjQoUOaM2eO7rnnHuXn5ys0NNTX5QW88vJyTZ8+Xb/85S914403SqrY3sPDwxUTE+PUlu3dOjWtd0l68MEH1b59e8XFxenrr7/W448/rn379mnt2rVu902AAi655557HD/37NlTSUlJat++vd555x2NGzfOh5UBnjd8+HDHzz169FDPnj11/fXXa+PGjRowYIAPKwsOU6ZM0a5duxhX6WVXW+8TJkxw/NyjRw+1bdtWAwYM0KFDh3T99de71TeH8PxQy5YtFRoaesWZGMePH1dsbKyPqmp4YmJi1LlzZx08eNDXpTQYlds3277vJSYmqmXLlmz/FkhPT9fHH3+svLw8/eIXv3DMj42NVVlZmU6dOuXUnu3dGldb7zVJSkqSJFPbOwHKD4WHh6tPnz7Kzc11zCsvL1dubq6Sk5N9WFnDcvr0aR06dEht27b1dSkNRkJCgmJjY522/ZKSEm3bto1t38u+//57/fjjj2z/9WAYhtLT0/X+++9rw4YNSkhIcFrep08fhYWFOW3v+/bt05EjR9je66G29V6TnTt3SpKp7Z1DeH4qIyNDDz/8sPr27atbb71VL7/8ss6cOaMxY8b4urSg9dhjj+nee+9V+/btdezYMc2dO1ehoaF64IEHfF1aUDl9+rTT//IKCgq0c+dOtWjRQu3atdP06dP1/PPPq1OnTkpISNBTTz2luLg4DR061HdFBwFX671FixZ65plnNGzYMMXGxurQoUPKzMxUx44dNWjQIB9WHdimTJmiNWvW6MMPP1Tz5s0d45qio6PVuHFjRUdHa9y4ccrIyFCLFi0UFRWlqVOnKjk5WbfddpuPqw9cta33Q4cOac2aNRo8eLCuvfZaff3115oxY4b69eunnj17uv9C9TqHDx61bNkyo127dkZ4eLhx6623Gp999pmvSwpq999/v9G2bVsjPDzcuO6664z777/fOHjwoK/LCjp5eXmGpCseDz/8sGEYFZcyeOqpp4w2bdoYERERxoABA4x9+/b5tugg4Gq9nz171rj77ruNVq1aGWFhYUb79u2N8ePHG0VFRb4uO6DVtL4lGStXrnS0+fnnn43Jkycb11xzjdGkSRPjv/7rv4zCwkLfFR0EalvvR44cMfr162e0aNHCiIiIMDp27GjMnDnTKC4uNvU6tksvBgAAADcxBgoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJv3/edP/W03l7QEAAAAASUVORK5CYII=", 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# read in pickled simulated parameters, mu, M, epsilon\n", "num_species = 5\n", "with open(\"params-s5.pkl\", \"rb\") as f:\n", " params = pickle.load(f)\n", "M = params[\"M\"]\n", "mu = params[\"mu\"]\n", "epsilon = params[\"epsilon\"]\n", "\n", "# read in the data\n", "num_timecourses = 3\n", "data = pd.read_csv(\"data-s5-r3.csv\")\n", "times = data.iloc[:, 0].values\n", "\n", "yobs_1 = data.iloc[:, 1:(num_species+1)].values\n", "yobs_2 = data.iloc[:, (num_species+1):(2*num_species+1)].values\n", "yobs_3 = data.iloc[:, (2*num_species+1):(3*num_species+1)].values\n", "ryobs = np.array([yobs_1, yobs_2, yobs_3])\n", "\n", "X = np.array([], dtype=np.double).reshape(0, num_species+1)\n", "F = np.array([], dtype=np.double).reshape(0, num_species)\n", "\n", "for timecourse_idx in range(num_timecourses):\n", " Xs, Fs = linearize_time_course_16S(ryobs[timecourse_idx], times)\n", " X = np.vstack([X, Xs])\n", " F = np.vstack([F, Fs])\n", "\n", "\n", "# Define priors\n", "prior_mu_mean = [1.0] \n", "prior_mu_sigma = 0.5\n", "\n", "## NB prior_Mii_mean is 0, so not defined as an argument\n", "prior_Mii_mean = 0.0\n", "prior_Mii_sigma = 0.1\n", "\n", "prior_Mij_sigma = 0.1\n", "\n", "\n", "# Sampling conditions\n", "draws = 500\n", "tune = 500\n", "chains = 4\n", "cores = 4\n", "\n", "inference = infergLVbayes()\n", "\n", "inference.set_parameters(X=X, F=F, prior_mu_mean=prior_mu_mean, prior_mu_sigma=prior_mu_sigma,\n", " prior_Mii_sigma=prior_Mii_sigma, prior_Mii_mean=prior_Mii_mean,\n", " prior_Mij_sigma=prior_Mij_sigma,\n", " draws=draws, tune=tune, chains=chains,cores=cores)\n", "\n", "idata = inference.run_inference()\n", "\n", "# To plot posterior distributions\n", "#inference.plot_posterior(idata)\n", "\n", "\n", "summary = az.summary(idata, var_names=[\"mu_hat\", \"M_ii_hat\", \"M_ij_hat\", \"M_hat\", \"sigma\"])\n", "#print(summary[[\"mean\", \"sd\", \"r_hat\"]])\n", "\n", "# Save posterior samples to file\n", "az.to_netcdf(idata, 'model_posterior.nc')\n", "\n", "# get median mu_hat and M_hat\n", "mu_h = np.median(idata.posterior[\"mu_hat\"].values, axis=(0,1) ).reshape(-1)\n", "M_h = np.median(idata.posterior[\"M_hat\"].values, axis=(0,1) )\n", "\n", "compare_params(mu=(mu, mu_h), M=(M, M_h))\n", "\n", "predictor = sim_gLV(num_species=num_species, M=M_h.T, mu=mu_h)\n", "\n", "# plot comparison of simulated and predicted timeseries\n", "for timecourse_idx in range(num_timecourses):\n", " yobs_h, _, _, _, _ = predictor.simulate(times=times, init_species=ryobs[timecourse_idx,0,:])\n", " plot_fit_gLV(ryobs[timecourse_idx], yobs_h, times)\n", "\n" ] }, { "cell_type": "markdown", "id": "304e08bd", "metadata": {}, "source": [ "### Bayesian inference with shrinkage: Horseshoe prior" ] }, { "cell_type": "code", "execution_count": null, "id": "9a759a1de8b48255", "metadata": { "ExecuteTime": { "end_time": "2024-10-31T11:22:59.737474Z", "start_time": "2024-10-31T11:22:11.031480Z" }, "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [sigma, mu_hat, M_ii_hat_p, c2, tau, lam, M_ij_hat]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "efb7704e8b674e5b95b83ab2b38196bc", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 500 tune and 500 draw iterations (2_000 + 2_000 draws total) took 27 seconds.\n",
      "There were 152 divergences after tuning. Increase `target_accept` or reparameterize.\n",
      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n",
      "The effective sample size per chain is smaller than 100 for some parameters.  A higher number is needed for reliable rhat and ess computation. See https://arxiv.org/abs/1903.08008 for details\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 mean     sd  r_hat\n",
      "mu_hat[0, 0]    1.045  0.204   1.00\n",
      "mu_hat[0, 1]    0.573  0.114   1.01\n",
      "mu_hat[0, 2]    1.754  0.133   1.00\n",
      "mu_hat[0, 3]    0.849  0.096   1.01\n",
      "mu_hat[0, 4]    0.804  0.012   1.00\n",
      "M_ii_hat[0]    -0.079  0.061   1.01\n",
      "M_ii_hat[1]    -0.078  0.059   1.00\n",
      "M_ii_hat[2]    -0.079  0.059   1.00\n",
      "M_ii_hat[3]    -0.080  0.059   1.00\n",
      "M_ii_hat[4]    -0.152  0.002   1.00\n",
      "M_ij_hat[0, 0] -0.048  0.006   1.01\n",
      "M_ij_hat[0, 1]  0.000  0.004   1.00\n",
      "M_ij_hat[0, 2]  0.000  0.003   1.01\n",
      "M_ij_hat[0, 3]  0.000  0.003   1.01\n",
      "M_ij_hat[1, 0]  0.000  0.002   1.01\n",
      "M_ij_hat[1, 1] -0.089  0.003   1.01\n",
      "M_ij_hat[1, 2]  0.000  0.001   1.00\n",
      "M_ij_hat[1, 3] -0.000  0.002   1.01\n",
      "M_ij_hat[2, 0] -0.012  0.009   1.01\n",
      "M_ij_hat[2, 1] -0.001  0.005   1.01\n",
      "M_ij_hat[2, 2] -0.129  0.007   1.00\n",
      "M_ij_hat[2, 3] -0.001  0.004   1.01\n",
      "M_ij_hat[3, 0]  0.000  0.001   1.01\n",
      "M_ij_hat[3, 1]  0.044  0.002   1.01\n",
      "M_ij_hat[3, 2]  0.000  0.001   1.00\n",
      "M_ij_hat[3, 3] -0.010  0.001   1.01\n",
      "M_ij_hat[4, 0] -0.001  0.002   1.01\n",
      "M_ij_hat[4, 1]  0.001  0.002   1.00\n",
      "M_ij_hat[4, 2]  0.000  0.002   1.01\n",
      "M_ij_hat[4, 3]  0.000  0.002   1.01\n",
      "M_hat[0, 0]    -0.048  0.006   1.01\n",
      "M_hat[0, 1]     0.000  0.004   1.00\n",
      "M_hat[0, 2]     0.000  0.003   1.01\n",
      "M_hat[0, 3]     0.000  0.003   1.01\n",
      "M_hat[0, 4]     0.000  0.000    NaN\n",
      "M_hat[1, 0]     0.000  0.002   1.01\n",
      "M_hat[1, 1]    -0.089  0.003   1.01\n",
      "M_hat[1, 2]     0.000  0.001   1.00\n",
      "M_hat[1, 3]    -0.000  0.002   1.01\n",
      "M_hat[1, 4]     0.000  0.000    NaN\n",
      "M_hat[2, 0]    -0.012  0.009   1.01\n",
      "M_hat[2, 1]    -0.001  0.005   1.01\n",
      "M_hat[2, 2]    -0.129  0.007   1.00\n",
      "M_hat[2, 3]    -0.001  0.004   1.01\n",
      "M_hat[2, 4]     0.000  0.000    NaN\n",
      "M_hat[3, 0]     0.000  0.001   1.01\n",
      "M_hat[3, 1]     0.044  0.002   1.01\n",
      "M_hat[3, 2]     0.000  0.001   1.00\n",
      "M_hat[3, 3]    -0.010  0.001   1.01\n",
      "M_hat[3, 4]     0.000  0.000    NaN\n",
      "M_hat[4, 0]    -0.001  0.002   1.01\n",
      "M_hat[4, 1]     0.001  0.002   1.00\n",
      "M_hat[4, 2]     0.000  0.002   1.01\n",
      "M_hat[4, 3]     0.000  0.002   1.01\n",
      "M_hat[4, 4]    -0.152  0.002   1.00\n",
      "sigma[0]        0.118  0.002   1.00\n",
      "mu_hat/mu:\n",
      "[1.04354708 0.57166277 1.75517601 0.84847451 0.80436547]\n",
      "[1.27853844 0.55683415 2.06752757 0.86387608 0.70448068]\n",
      "\n",
      "M_hat/M:\n",
      "[[-0.05  0.    0.   -0.    0.  ]\n",
      " [ 0.   -0.09  0.   -0.    0.  ]\n",
      " [-0.01 -0.   -0.13 -0.    0.  ]\n",
      " [ 0.    0.04  0.   -0.01  0.  ]\n",
      " [-0.    0.    0.    0.   -0.15]]\n",
      "\n",
      " [[-0.05   0.    -0.025  0.     0.   ]\n",
      " [ 0.    -0.1    0.     0.05   0.   ]\n",
      " [ 0.     0.    -0.15   0.     0.   ]\n",
      " [ 0.     0.     0.    -0.01   0.   ]\n",
      " [ 0.02   0.     0.     0.    -0.2  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# read in pickled simulated parameters, mu, M, epsilon\n", "num_species = 5\n", "with open(\"params-s5.pkl\", \"rb\") as f:\n", " params = pickle.load(f)\n", "M = params[\"M\"]\n", "mu = params[\"mu\"]\n", "epsilon = params[\"epsilon\"]\n", "\n", "# read in the data\n", "num_timecourses = 1\n", "data = pd.read_csv(\"data-s5-r1.csv\")\n", "times = data.iloc[:, 0].values\n", "\n", "\n", "# Define priors\n", "prior_mu_mean = [1.0] \n", "prior_mu_sigma = 0.5\n", "\n", "## NB prior_Mii_mean is 0, so not defined as an argument\n", "prior_Mii_mean = 0.0\n", "prior_Mii_sigma = 0.1\n", "\n", "prior_Mij_sigma = 0.1\n", "\n", "# Define parameters for shrinkage on M_ij (non diagonal elements)\n", "n_obs = times.shape[0] - 1\n", "num_species = F.shape[1]\n", "nX = num_species\n", "noise_stddev = 0.1\n", "\n", "DA = nX*nX - nX\n", "\n", "DA0 = 3 # expected number of non zero entries in M_ij\n", "N = n_obs - 2\n", "\n", "\n", "# Sampling conditions\n", "draws = 500\n", "tune = 500\n", "chains = 4\n", "cores = 4\n", "\n", "# Run inference\n", "\n", "inference = infergLVbayes()\n", "\n", "inference.set_parameters(X=X, F=F, prior_mu_mean=prior_mu_mean, prior_mu_sigma=prior_mu_sigma,\n", " prior_Mii_sigma=prior_Mii_sigma, prior_Mii_mean=prior_Mii_mean,\n", " prior_Mij_sigma=prior_Mij_sigma,\n", " DA=DA, DA0=DA0, N=N, noise_stddev=noise_stddev,\n", " draws=draws, tune=tune, chains=chains,cores=cores)\n", "\n", "idata = inference.run_inference_shrinkage()\n", "\n", "# To plot posterior distributions\n", "#inference.plot_posterior(idata)\n", "\n", "\n", "# print summary\n", "summary = az.summary(idata, var_names=[\"mu_hat\", \"M_ii_hat\", \"M_ij_hat\", \"M_hat\", \"sigma\"])\n", "print(summary[[\"mean\", \"sd\", \"r_hat\"]])\n", "\n", "# Write posterior samples to file\n", "az.to_netcdf(idata, 'model_posterior.nc')\n", "\n", "# get median mu_hat and M_hat \n", "mu_h = np.median(idata.posterior[\"mu_hat\"].values, axis=(0,1) ).reshape(-1)\n", "M_h = np.median(idata.posterior[\"M_hat\"].values, axis=(0,1) )\n", "\n", "# compare fitted with simulated parameters\n", "compare_params(mu=(mu, mu_h), M=(M, M_h))\n", "\n", "predictor = sim_gLV(num_species=num_species, M=M_h.T, mu=mu_h)\n", "yobs_h, _, _, _, _ = predictor.simulate(times=times, init_species=yobs[0])\n", "plot_fit_gLV(yobs, yobs_h, times)" ] }, { "cell_type": "markdown", "id": "f77b7d49", "metadata": {}, "source": [ "### Bayesian inference with shrinkage and a perturbation with unknown interactions\n", "Now we will do inference with the Horseshoe prior for shrinkage but now we include a perturbation (assuming unknown interaction terms). This gives more identifiability" ] }, { "cell_type": "code", "execution_count": null, "id": "c6d6c2df", "metadata": { "ExecuteTime": { "end_time": "2024-10-31T11:24:04.191967Z", "start_time": "2024-10-31T11:23:05.803873Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [sigma, mu_hat, epsilon_hat, M_ii_hat_p, c2, tau, lam, M_ij_hat]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "34fbd36d52924aa090a49fce6c04d3a4", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 500 tune and 500 draw iterations (2_000 + 2_000 draws total) took 34 seconds.\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n",
      "/Users/chaniaclare/Documents/GitHub/MIMIC/venv/lib/python3.10/site-packages/arviz/stats/diagnostics.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    mean     sd  r_hat\n",
      "mu_hat[0, 0]       1.236  0.130    1.0\n",
      "mu_hat[0, 1]       0.586  0.127    1.0\n",
      "mu_hat[0, 2]       1.678  0.132    1.0\n",
      "mu_hat[0, 3]       0.880  0.128    1.0\n",
      "mu_hat[0, 4]       0.855  0.015    1.0\n",
      "...                  ...    ...    ...\n",
      "epsilon_hat[0, 1] -0.897  0.027    1.0\n",
      "epsilon_hat[0, 2]  0.849  0.028    1.0\n",
      "epsilon_hat[0, 3] -0.882  0.027    1.0\n",
      "epsilon_hat[0, 4]  0.906  0.028    1.0\n",
      "sigma[0]           0.116  0.002    1.0\n",
      "\n",
      "[61 rows x 3 columns]\n",
      "(5, 1)\n",
      "mu_hat/mu:\n",
      "[1.23282783 0.58798556 1.67534212 0.8759228  0.85493615]\n",
      "[1.27853844 0.55683415 2.06752757 0.86387608 0.70448068]\n",
      "\n",
      "M_hat/M:\n",
      "[[-0.05  0.    0.   -0.    0.  ]\n",
      " [ 0.   -0.09 -0.    0.    0.  ]\n",
      " [-0.02 -0.01 -0.13 -0.    0.  ]\n",
      " [-0.    0.05  0.   -0.01  0.  ]\n",
      " [ 0.    0.01  0.    0.   -0.16]]\n",
      "\n",
      " [[-0.05   0.    -0.025  0.     0.   ]\n",
      " [ 0.    -0.1    0.     0.05   0.   ]\n",
      " [ 0.     0.    -0.15   0.     0.   ]\n",
      " [ 0.     0.     0.    -0.01   0.   ]\n",
      " [ 0.02   0.     0.     0.    -0.2  ]]\n",
      "\n",
      "e_hat/e:\n",
      "[[ 0.88]\n",
      " [-0.9 ]\n",
      " [ 0.85]\n",
      " [-0.88]\n",
      " [ 0.91]]\n",
      "\n",
      " [[ 1.]\n",
      " [-1.]\n",
      " [ 1.]\n",
      " [-1.]\n",
      " [ 1.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
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       "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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", 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", 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "num_timecourses = 3\n", "num_perturbations = 1\n", "data = pd.read_csv(\"data-s5-r3-p1.csv\")\n", "times = data.iloc[:, 0].values\n", "\n", "yobs_1 = data.iloc[:, 1:(num_species+1)].values\n", "yobs_2 = data.iloc[:, (num_species+1):(2*num_species+1)].values\n", "yobs_3 = data.iloc[:, (2*num_species+1):(3*num_species+1)].values\n", "ryobs = np.array([yobs_1, yobs_2, yobs_3])\n", "\n", "# create the perturbation signal\n", "def pert_fn(t):\n", " if 2.0 <= t < 2.2 or 3.0 <= t < 3.2 or 4.0 <= t < 4.2:\n", " return np.array([1])\n", " else: \n", " return np.array([0])\n", "\n", "u = np.array([pert_fn(t)[0] for t in times])\n", "u = u.astype(int)\n", "\n", "X = np.array([], dtype=np.double).reshape(0, num_species+2)\n", "F = np.array([], dtype=np.double).reshape(0, num_species)\n", "\n", "for timecourse_idx in range(num_timecourses):\n", " Xs, Fs = linearize_time_course_16S_u(ryobs[timecourse_idx], times, u)\n", " X = np.vstack([X, Xs])\n", " F = np.vstack([F, Fs])\n", "\n", "\n", "# Define priors\n", "prior_mu_mean = [1.0] \n", "prior_mu_sigma = 0.5\n", "\n", "## NB prior_Mii_mean is 0, so not defined as an argument\n", "prior_Mii_mean = 0.0\n", "prior_Mii_sigma = 0.1\n", "\n", "prior_Mij_sigma = 0.1\n", "\n", "prior_eps_mean = 0.1\n", "prior_eps_sigma = 0.1\n", "\n", "# Define parameters for shrinkage on M_ij (non diagonal elements)\n", "n_obs = times.shape[0] - 1\n", "num_species = F.shape[1]\n", "nX = num_species\n", "noise_stddev = 0.1\n", "\n", "DA = nX*nX - nX\n", "\n", "DA0 = 3 # expected number of non zero entries in M_ij\n", "N = n_obs - 2\n", "\n", "\n", "# Sampling conditions\n", "draws = 500\n", "tune = 500\n", "chains = 4\n", "cores = 4\n", "\n", "# Run inference\n", "\n", "inference = infergLVbayes()\n", "\n", "inference.set_parameters(X=X, F=F, prior_mu_mean=prior_mu_mean, prior_mu_sigma=prior_mu_sigma,\n", " prior_Mii_sigma=prior_Mii_sigma, prior_Mii_mean=prior_Mii_mean,\n", " prior_Mij_sigma=prior_Mij_sigma,\n", " prior_eps_mean=prior_eps_mean, prior_eps_sigma=prior_eps_sigma,\n", " DA=DA, DA0=DA0, N=N, noise_stddev=noise_stddev,\n", " draws=draws, tune=tune, chains=chains,cores=cores)\n", "\n", "idata = inference.run_inference_shrinkage_pert()\n", "\n", "# To plot posterior distributions\n", "#inference.plot_posterior_pert(idata)\n", "\n", "\n", "# print summary\n", "summary = az.summary(idata, var_names=[\"mu_hat\", \"M_ii_hat\", \"M_ij_hat\", \"M_hat\", \"epsilon_hat\", \"sigma\"])\n", "print(summary[[\"mean\", \"sd\", \"r_hat\"]])\n", "\n", "# Write posterior samples to file\n", "az.to_netcdf(idata, 'model_posterior.nc')\n", "\n", "num_species = 5\n", "with open(\"params-s5.pkl\", \"rb\") as f:\n", " params = pickle.load(f)\n", "M = params[\"M\"]\n", "mu = params[\"mu\"]\n", "epsilon = params[\"epsilon\"]\n", "\n", "\n", "# get median mu_hat and M_hat\n", "mu_h = np.median(idata.posterior[\"mu_hat\"].values, axis=(0,1) ).reshape(-1)\n", "M_h = np.median(idata.posterior[\"M_hat\"].values, axis=(0,1) )\n", "e_h = np.median(idata.posterior[\"epsilon_hat\"].values, axis=(0,1) ).T\n", "\n", "print(e_h.shape)\n", "\n", "predictor = sim_gLV(num_species=num_species,\n", " num_perturbations=1,\n", " M=M_h.T,\n", " mu=mu_h,\n", " epsilon=e_h,\n", " )\n", "\n", "# # plot comparison of simulated and predicted timeseries\n", "for timecourse_idx in range(num_timecourses):\n", " yobs_h, _, _, _, _ = predictor.simulate(times=times, init_species=ryobs[timecourse_idx,0,:], u=pert_fn)\n", " plot_fit_gLV(ryobs[timecourse_idx], yobs_h, times)\n", "\n", "compare_params(mu=(mu, mu_h), M=(M, M_h), e=(epsilon, e_h))\n" ] }, { "cell_type": "code", "execution_count": null, "id": "da2b1503", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "my_mimic_env", "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": "3.10.16" } }, "nbformat": 4, "nbformat_minor": 5 }