From 43af50ed0540db697f07f6ccfd92cf8ec21c98cc Mon Sep 17 00:00:00 2001 From: paulfogeladvestis Date: Mon, 29 Apr 2024 17:25:18 +0200 Subject: [PATCH] Added more examples in the benchmark and new notebooks calling mofa+ and gfa. --- examples/abis_aih.ipynb | 390 +++++++++++++++ examples/abis_ism.ipynb | 576 +++++++++++++++++++++ examples/federated_nmf_ilsm.ipynb | 282 +++++++++++ examples/federated_nmf_ism.ipynb | 297 +++++++++++ examples/gfa.py | 670 +++++++++++++++++++++++++ examples/ism_utils.py | 67 +++ examples/mowgli_ilsm.ipynb | 806 ++++++++++++++++++++++++++++++ examples/prokaryotic_ilsm.ipynb | 726 +++++++++++++++++++++++++++ examples/reuters_ilsm.ipynb | 603 ++++++++++++++++++++++ examples/simulation_aih.ipynb | 128 +++++ examples/simulation_ism.ipynb | 133 +++++ examples/uci_digits_aih.ipynb | 424 ++++++++++++++++ examples/uci_digits_ism.ipynb | 492 ++++++++++++++++++ 13 files changed, 5594 insertions(+) create mode 100644 examples/abis_aih.ipynb create mode 100644 examples/abis_ism.ipynb create mode 100644 examples/federated_nmf_ilsm.ipynb create mode 100644 examples/federated_nmf_ism.ipynb create mode 100644 examples/gfa.py create mode 100644 examples/ism_utils.py create mode 100644 examples/mowgli_ilsm.ipynb create mode 100644 examples/prokaryotic_ilsm.ipynb create mode 100644 examples/reuters_ilsm.ipynb create mode 100644 examples/simulation_aih.ipynb create mode 100644 examples/simulation_ism.ipynb create mode 100644 examples/uci_digits_aih.ipynb create mode 100644 examples/uci_digits_ism.ipynb diff --git a/examples/abis_aih.ipynb b/examples/abis_aih.ipynb new file mode 100644 index 0000000..2498897 --- /dev/null +++ b/examples/abis_aih.ipynb @@ -0,0 +1,390 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.11\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import rand_score\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "\n", + "RESULTS_PATH = './'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 4 views.\n", + "There are 915 observations\n", + "The feature sizes are: [16, 16, 16, 16]\n" + ] + } + ], + "source": [ + "df = pd.read_csv(RESULTS_PATH + r'abis_915.csv', na_values=' ', index_col='gene_id')\n", + "# df = pd.read_csv(RESULTS_PATH + r'\\abis_915_1000_random_genes.csv', na_values=' ', index_col='gene_id')\n", + "\n", + "# df_cell_type_connection = pd.read_csv(RESULTS_PATH + r'cell_type_connection.csv', na_values=' ', index_col='cell_type')\n", + "# cell_type_connection = df_cell_type_connection.values.astype(np.float_)\n", + "\n", + "max_rows = df.iloc[:,1:].apply(lambda x: x.sort_values(ascending=False).values, axis=1, result_type='broadcast').iloc[:,:4].mean(axis=1).values\n", + "df_norm = df.iloc[np.nonzero(max_rows)[0],1:].divide(max_rows[np.nonzero(max_rows)[0]], axis='rows')\n", + "\n", + "list_cell_codes, list_cell_types = pd.factorize(df.iloc[:,0])\n", + "\n", + "m0 = df_norm.values.astype(np.float_)\n", + "\n", + "list_columns = df.columns[1:].to_list()\n", + "score_pref = ['9JD4', '925L', 'DZQV', 'G4YW']\n", + "n_scores = len(score_pref)\n", + "list_items = df.columns[1:].str[5:].to_list()[0:int((df.shape[1]-1)/n_scores)]\n", + "\n", + "n_items = [len(list_items) for i in range(n_scores+1)]\n", + "Xs=[m0[:,i*n_items[0]:(i+1)*n_items[0]] for i in range(n_scores)]\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[X.shape[1] for X in Xs]}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.33\n", + "error ism after straightening: 0.35\n", + "condition number(16, 16) = 3.43\n" + ] + } + ], + "source": [ + "n_embedding, n_themes = [16,16]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=False, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1008.5321028509302]\n" + ] + } + ], + "source": [ + "# 16-16 with .8\n", + "# generate N visually distinct colours\n", + "mds = MDS(n_components=2, random_state=0)\n", + "n_marker_genes = 915\n", + "\n", + "stress = []\n", + "# w4_ism_mds = mds.fit_transform(w4_ism[:n_marker_genes,:])\n", + "w4_ism_mds = mds.fit_transform(normalize(w4_ism[:n_marker_genes,:], axis=0, norm='l2'))\n", + "stress.append(mds.stress_)\n", + "\n", + "# m0_mds = mds.fit_transform(normalize(m0[:n_marker_genes,:]))\n", + "# stress.append(mds.stress_)\n", + "\n", + "print(stress)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14 11.46\n", + "0.9958\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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RoqBgQKQENGnShFq1arF9+3Zz2vbt2/H09CQwMNCi7PXr1xkxYgTVqlXDaDTStm1bjhw5Ys7fv38/BoOBffv20axZMxwcHGjdujWnT5+2qGfFihXcf//9lC9fnrp16+a7IF65coXBgwdTvXp1jEYjDzzwAO+99x7Xrl3DxcWFt99+26L8zp07cXR05Pfffzc/vTAwMBCDwWDx9MXVq1dTv359jEYj9erV49VXXzXnZWVlMXz4cDw8PDAajdSuXZvZs2ff9rOrW7cuwcHBvPTSS7csExcXx6xZs1i4cCHz58+ndevWeHl58fDDD7Nt2zb69+9/2zZErI2CAZESMnDgQKKjo83v33jjDQYMGJCv3Lhx49i2bRtr167lyy+/xMfHh9DQ0HxD3S+99BILFy7k6NGj2NnZMXDgQHPejh07GDlyJM8//zxff/01gwcPZsCAAXz88ccA5Obm0rFjRw4ePMj69es5deoUc+bMwdbWFkdHR3r37m3RV4Do6Ggef/xxnJ2diYuLAyA2NpaUlBRzkLNhwwYmTZrEzJkzSUhIYNasWUycOJG1a9cCEBUVxTvvvMOWLVs4ffo0GzZswMvL646f3Zw5c9i2bRtHjx4tMH/Dhg04OTkxdOjQAvMrVap0xzZErIkWEIqUkL59+zJhwgTOnj0LwMGDB9m8eTP79+83l7l27RorVqwgJiaGjh07ArBq1Sr27t3LmjVrGDt2rLnszJkzad++PQDjx4+nU6dOZGZmYjQaWbBgAREREeaL4+jRozl8+DALFiwgODiY2NhY4uLiSEhIwM/PD4A6deqY6x40aBCtW7cmJSUFDw8PLl68yPvvv09sbCwAbm5uALi6uuLu7m4+bvLkySxcuJDu3bsD4O3tzalTp1i5ciX9+/fn3Llz+Pr60rZtWwwGA7Vr1y7UZ9ekSRN69uzJCy+8wL59+/Llnzlzhjp16lCuXLlC1Sdi7TQyIFJC3Nzc6NSpEzExMURHR9OpUyeqVq1qUSYxMZHs7GzatGljTitXrhwtWrQgISHBomyjRo3Mf3t4eABw8eJFABISEizqAGjTpo25jvj4eGrWrGkOBP5XixYtaNiwofkX/fr166lduzbt2rW75fldu3aNxMREIiMjcXJyMr9mzJhBYmIikLeYMj4+nrp16zJixAg+/PDDW39g/2PGjBkcOHCgwGNMJlOh6jhw4IBF32bNmmUeVbj52rBhQ6H7JFJaaWRApAQNHDiQ4cOHA7B8+fK/VNcffwUbDAYgb/i/MOzt7e9YZtCgQSxfvpzx48cTHR3NgAEDzO0UJC0tDcgbyWjZsqVFnq2tLZD3Cz8pKYndu3cTGxtLz549CQkJybc+oSD3338/Tz31FOPHj2fNmjUWeX5+fnz22WdkZ2ffdnSgWbNmFndAREVF8dNPPzF37lxzWvXq1e/YF5HSTiMDIiUoLCyMrKwssrOzCQ0NzZd/c8HfwYMHzWnZ2dkcOXKEBg0aFLqd+vXrW9QBedMSN+to1KgR58+f57vvvrtlHX379uXs2bNERUVx6tQpi0V45cuXByAnJ8ecVr16dWrUqMEPP/yAj4+PxevmgkMAFxcXevXqxapVq3jrrbfYtm1boW/9mzRpEt999x2bN2+2SH/iiSdIS0uzWKz4R1euXAHygqA/9qtKlSo4OztbpDk7OxeqLyKlmUYGREqQra2teaj+5q/lP3J0dGTIkCGMHTuWKlWq4Onpybx580hPTycyMrLQ7YwdO5aePXsSGBhISEgI7777Ltu3bzfP+bdv35527drRo0cPFi1ahI+PD99++y0Gg4GwsDAAKleuTPfu3Rk7diz//Oc/qVmzprn+atWqYW9vz549e6hZsyZGo5GKFSsydepURowYQcWKFQkLC+P69escPXqU1NRURo8ezaJFi/Dw8CAwMBAbGxu2bt2Ku7t7oRf4Va9endGjRzN//nyL9JYtWzJu3Dief/55fvrpJ7p160aNGjX4/vvvee2112jbti0jR44s9OcnUtZpZEDKlKrOeTsCFidjubx2/ywXFxdcXFxumT9nzhx69OhBv379aNKkCd9//z0ffPABlStXLnQbXbt2ZenSpSxYsICGDRuycuVKoqOjLW4B3LZtG82bN6dPnz40aNCAcePGWfzSB4iMjCQrK8viTgUAOzs7oqKiWLlyJTVq1KBLly5A3tTC6tWriY6Oxt/fn/bt2xMTE2MeGXB2dmbevHk0a9aM5s2bk5yczPvvv4+NTeH/aRozZgxOTk750ufOncvGjRv54osvCA0NpWHDhowePZpGjRrp1kKR/2EwFXaljcg9JjMzk6SkJLy9vTEajeZ0PZvg7/Pmm2/y3HPP8fPPP5unBiTPrb6PIqWBpgmkzPF0tZ6Lc3FJT08nJSWFOXPmMHjwYAUCImWMpglE5I7mzZtHvXr1cHd3Z8KECSXdHREpYpomkFJLw7JyL9H3UUozjQyIiIhYOQUDIiIiVk7BgIiIiJVTMCAiImLlFAyIiIhYOe0zIGXP1XOQfqn42nOoChU9i689EZEipmBAypar52BZXbiRWXxt2hlh+GkFBCJSammaQMqW9EvFGwhAXntFOBIRFBSEwWDAYDBQoUIF7rvvPjp37sz27dsLLP/xxx/zyCOP4OrqioODAw0aNDA/oEdEpDAUDIjcg5566ilSUlJITExk27ZtNGjQgN69e/P0009blFu5ciUhISG4u7uzbds2Tp06xWuvvcbVq1dZuHBhCfVeREobTROIFLOgoCAeeOABIO/BP+XKlWPIkCFMmzYNg8EAgIODA+7u7gDUrFmTf/zjH9SrV4+BAwfSs2dPQkJCOH/+PCNGjGDEiBEsXrzYXL+Xlxft2rXjypUrAJw9e5bhw4fz2WefkZWVhZeXF/Pnz+eRRx4p3hMXkXuWRgZESsDatWuxs7MjLi6OpUuXsmjRIlavXn3bY/r370/lypXN0wVbt24lKyuLcePGFVi+UqVKAAwbNozr16/z6aef8tVXXzF37twCH/krItZLIwMiJaBWrVosXrwYg8FA3bp1+eqrr1i8eDFPPfXULY+xsbHBz8+P5ORkAM6cOYOLiwseHh63bevcuXP06NEDf39/AOrUqVNk5yEiZYNGBkRKwD/+8Q/zlABAq1atOHPmDDk5Obc9zmQymY/749+3M2LECGbMmEGbNm2YPHkyJ0+e/GudF5EyR8GASCmRk5PDmTNn8Pb2BsDPz4+rV6+SkpJy2+MGDRrEDz/8QL9+/fjqq69o1qwZr7zySnF0WURKCQUDIiXgiy++sHh/+PBhfH19sbW1veUxa9euJTU1lR49egDw+OOPU758eebNm1dg+ZsLCCFvWuKZZ55h+/btPP/886xateqvn4SIlBlaMyBSAs6dO8fo0aMZPHgwX375Ja+88orFrYDp6elcuHCBGzducP78eXbs2MHixYsZMmQIwcHBwH/XHQwfPpzffvuNJ598Ei8vL86fP8+6detwcnJi4cKFjBo1io4dO+Ln50dqaioff/wx9evXL6lTF5F7kIIBKVscqubtCFjcOxA6VL2rQ5588kkyMjJo0aIFtra2jBw50mIPgVWrVrFq1SrKly+Pq6srTZs25a233qJbt24W9QwdOhQ/Pz8WLFhAt27dyMjIwMvLi0cffZTRo0cDedMLw4YN4/z587i4uBAWFmZxK6KIiMFkMplKuhMif0ZmZiZJSUl4e3tjNBr/m3GPP5sgKCiIgIAAlixZ8vf1SYrdLb+PIqWARgak7KnoqecEiIjcBS0gFBERsXIaGRApZvv37y/pLoiIWNDIgIiIiJVTMCAiImLlFAyIiIhYOQUDIiIiVk7BgIiIiJXT3QRS5pwDinHLIaoC2tVAREozjQxImXIOqAs0LcZX3f9vt7AiIiIwGAzml6urK2FhYXd8tPDN45555pl8ecOGDcNgMBAREXEXPRERyaNgQMqUS0AxPpUA/r+9ux2JCAsLIyUlhZSUFPbt24ednR2PPvroHY+rVasWmzdvJiMj47/tZ2ayceNGPD3vzfEJk8nEjRs3SrobInIbCgZESkCFChVwd3fH3d2dgIAAxo8fz48//sgvv/xy2+OaNGlCrVq12L59uzlt+/bteHp6EhgYaFE2NzeX2bNn4+3tjb29PY0bN+btt9825+/fvx+DwcAHH3xAYGAg9vb2PPTQQ1y8eJHdu3dTv359XFxceOKJJ0hPTzcfd/36dUaMGEG1atUwGo20bduWI0eO5Kt39+7dNG3alAoVKrB+/XpsbGw4evSoRR+XLFlC7dq1yc3N/VOfo4gUDQUDIiUsLS2N9evX4+Pjg6ur6x3LDxw4kOjoaPP7N954gwEDBuQrN3v2bNatW8drr73GN998w3PPPUffvn355JNPLMpNmTKFZcuWcejQIX788Ud69uzJkiVL2LhxI7t27eLDDz/klVdeMZcfN24c27ZtY+3atXz55Zf4+PgQGhrKr7/+alHv+PHjmTNnDgkJCTz22GOEhIRY9BsgOjqaiIgIbGz0T5FIiTKJlFIZGRmmU6dOmTIyMsxpx0wmEyXwOnYX/e7fv7/J1tbW5OjoaHJ0dDQBJg8PD9OxY7evpX///qYuXbqYLl68aKpQoYIpOTnZlJycbDIajaZffvnF1KVLF1P//v1NJpPJlJmZaXJwcDAdOnTIoo7IyEhTnz59TCaTyfTxxx+bAFNsbKw5f/bs2SbAlJiYaE4bPHiwKTQ01GQymUxpaWmmcuXKmTZs2GDOz8rKMtWoUcM0b948i3p37txp0fZbb71lqly5sikzM9NkMplMx44dMxkMBlNSUtJdfHr3roK+jyKlhcJxkRIQHBxMfHw88fHxxMXFERoaSseOHTl79uwdj3Vzc6NTp07ExMQQHR1Np06dqFq1qkWZ77//nvT0dB5++GGcnJzMr3Xr1pGYmGhRtlGjRua/q1evjoODA3Xq1LFIu3jxIgCJiYlkZ2fTpk0bc365cuVo0aIFCQkJFvU2a9bM4n3Xrl2xtbVlx44dAMTExBAcHIyXl9cdz1lE/l66tVCkBDg6OuLj42N+v3r1aipWrMiqVauYMWPGHY8fOHAgw4cPB2D58uX58tPS0gDYtWsX9913n0VehQoVLN6XK1fO/LfBYLB4fzPtz8zpOzo6WrwvX748Tz75JNHR0XTv3p2NGzeydOnSu65XRIqeggGRe4DBYMDGxsbiLoHbCQsLIysrC4PBQGhoaL78Bg0aUKFCBc6dO0f79u2LrJ/3338/5cuX5+DBg9SuXRuA7Oxsjhw5wqhRo+54/KBBg3jggQd49dVXuXHjBt27dy+yvonIn6dgQKQEXL9+nQsXLgCQmprKsmXLSEtLo3PnzoU63tbW1jwsb2trmy/f2dmZMWPG8Nxzz5Gbm0vbtm25evUqBw8exMXFhf79+/+pfjs6OjJkyBDGjh1LlSpV8PT0ZN68eaSnpxMZGXnH4+vXr88//vEPXnjhBQYOHIi9vf2f6oeIFC0FAyIlYM+ePXh4eAB5F+569eqxdetWgoKCCl2Hi4vLbfOnT5+Om5sbs2fP5ocffqBSpUo0adKEF1988a90nTlz5pCbm0u/fv34/fffadasGR988AGVK1cu1PGRkZEcOnSIgQMH/qV+iEjRMZhMJlNJd0Lkz8jMzCQpKQlvb2+MRiPw3x0Ii3PjISNwGm1JXFjTp09n69atd9xxsbQp6PsoUlpoZEDKFE/yLsx6NsG9Jy0tjeTkZJYtW1aoRZIiUnwUDEiZ44kuzvei4cOHs2nTJrp27aopApF7jKYJpNTSsKzcS/R9lNJMmw6JiIhYOQUDIiIiVk7BgIiIiJVTMCAiImLlFAyIiIhYOQUDIiIiVk77DEiZc+ViKtd+Syu29hxdnKhUrXBb8ZY2BoOBHTt20LVr1wLz9+/fT3BwMKmpqVSqVImYmBhGjRrFlStXirWfIvLXKBiQMuXKxVQWPzWLG9k3iq1Nu3J2PLfqxUIHBBEREaxdu9b8vkqVKjRv3px58+bRqFGjv6ubf4vWrVuTkpJCxYoVi6Q+Ly8vRo0aVeATEJOTk/H29ja/d3JywtPTk6CgIEaNGoWvr2+R9EHEGmmaQMqUa7+lFWsgAHAj+8Zdj0SEhYWRkpJCSkoK+/btw87OjkcfffRv6uHfp3z58ri7u2MwGIqtzdjYWFJSUjhx4gSzZs0iISGBxo0bs2/fvmLrg0hZo2BApARUqFABd3d33N3dCQgIYPz48fz444/88ssv5jIvvPACfn5+ODg4UKdOHSZOnEh2drY5/8SJEwQHB+Ps7IyLiwtNmzbl6NGj5vxt27bRsGFDKlSogJeXFwsXLrTog5eXF9OnT6dPnz44Ojpy3333sXz58nx9vXTpEt26dcPBwQFfX1/eeecdc97+/fsxGAy3nBa4Ux//DFdXV9zd3alTpw5dunQhNjaWli1bEhkZSU5Ozl+qW8RaKRgQKWFpaWmsX78eHx8fXF1dzenOzs7ExMRw6tQpli5dyqpVq1i8eLE5Pzw8nJo1a3LkyBGOHTvG+PHjKVeuHADHjh2jZ8+e9O7dm6+++oopU6YwceJEYmJiLNqeP38+jRs35vjx44wfP56RI0eyd+9eizJTp06lZ8+enDx5kkceeYTw8HB+/fXXQp3b7fpYVGxsbBg5ciRnz57l2LFjRVq3iLXQmgGREvDee+/h5OQEwLVr1/Dw8OC9997Dxua/8fnLL79s/tvLy4sxY8awefNmxo0bB8C5c+cYO3Ys9erVA7CYM1+0aBEdOnRg4sSJAPj5+XHq1Cnmz59PRESEuVybNm0YP368uczBgwdZvHgxDz/8sLlMREQEffr0AWDWrFlERUURFxdHWFjYHc/zdn0sSjfrT05OpkWLFn9LGyJlmUYGREpAcHAw8fHxxMfHExcXR2hoKB07duTs2bPmMm+99RZt2rTB3d0dJycnXn75Zc6dO2fOHz16NIMGDSIkJIQ5c+aQmJhozktISKBNmzYWbbZp04YzZ85YDKW3atXKokyrVq1ISEiwSPvjokZHR0dcXFy4ePFioc7zdn0sSjeft1acaxdEyhIFAyIlwNHRER8fH3x8fGjevDmrV6/m2rVrrFq1CoDPP/+c8PBwHnnkEd577z2OHz/OSy+9RFZWlrmOKVOm8M0339CpUyc++ugjGjRowI4dO4q8r/87rG8wGMjNzS3UscXVx5sBzB/vNhCRwlMwIHIPMBgM2NjYkJGRAcChQ4eoXbs2L730Es2aNcPX19di1OAmPz8/nnvuOT788EO6d+9OdHQ0APXr1+fgwYMWZQ8ePIifnx+2trbmtMOHD1uUOXz4MPXr1y/Sc7tVH4tKbm4uUVFReHt7ExgYWKR1i1gLrRkQKQHXr1/nwoULAKSmprJs2TLS0tLo3LkzkDe3fu7cOTZv3kzz5s3ZtWuXxS/qjIwMxo4dy+OPP463tzfnz5/nyJEj9OjRA4Dnn3+e5s2bM336dHr16sXnn3/OsmXLePXVVy36cfDgQebNm0fXrl3Zu3cvW7duZdeuXUVyjnfq46389NNPxMfHW6TVrl3b/Pfly5e5cOEC6enpfP311yxZsoS4uDh27dplEeiISOEpGBApAXv27MHDwwPIu2ugXr16bN26laCgIAAee+wxnnvuOYYPH87169fp1KkTEydOZMqUKQDY2tpy+fJlnnzySf7zn/9QtWpVunfvztSpUwFo0qQJW7ZsYdKkSUyfPh0PDw+mTZtmsXgQ8oKGo0ePMnXqVFxcXFi0aBGhoaFFco536uOtLFiwgAULFlikvfnmm7Rt2xaAkJAQABwcHKhduzbBwcG8/vrr+Pj4FEm/RayRwXRz5Y1IKZOZmUlSUhLe3t4YjUagdOxAeK+43W5/cvcK+j6KlBYaGZAypVK1yjy36kU9m0BE5C4oGJAyp1K1yro4i4jcBQUDIlYqOTm5pLsgIvcI3VooIiJi5RQMiIiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDndWihlTqbpIln8VmztlccFo6FasbX3R0FBQQQEBLBkyZISaf/v8r/npd0SRf5eCgakTMk0XeTzG0+TS3axtWlDOVrZvV7ogCAiIoK1a9cye/Zsxo8fb07fuXMn3bp14252CN++fXu+RwwXJYPBcNv8yZMnm5+XICKll4IBKVOy+K1YAwGAXLLJ4jeMFH50wGg0MnfuXAYPHkzlyn9+t8QqVar86WMLIyUlxfz3W2+9xaRJkzh9+rQ5zcnJ6W9tX0SKh9YMiJSAkJAQ3N3dmT179i3LXL58mT59+nDffffh4OCAv78/mzZtsigTFBRkHjp/8cUXadmyZb56GjduzLRp08zvV69eTf369TEajdSrVy/fY43/yN3d3fyqWLEiBoPBIu1WwcD169d54YUXqFWrFhUqVMDHx4c1a9aY87/++ms6duyIk5MT1atXp1+/fly6dOmW/fgjk8nElClT8PT0pEKFCtSoUYMRI0YU6lgRKZiCAZESYGtry6xZs3jllVc4f/58gWUyMzNp2rQpu3bt4uuvv+bpp5+mX79+xMXFFVg+PDycuLg4EhMTzWnffPMNJ0+e5IknngBgw4YNTJo0iZkzZ5KQkMCsWbOYOHEia9euLdLze/LJJ9m0aRNRUVEkJCSwcuVKc+Bw5coVHnroIQIDAzl69Ch79uzhP//5Dz179ixU3du2bWPx4sWsXLmSM2fOsHPnTvz9/Yu0/yLWRtMEIiWkW7duBAQEMHnyZItfzTfdd999jBkzxvz+2Wef5YMPPmDLli20aNEiX/mGDRvSuHFjNm7cyMSJE4G8i3/Lli3x8fEB8ub4Fy5cSPfu3QHw9vbm1KlTrFy5kv79+xfJeX333Xds2bKFvXv3EhISAkCdOnXM+cuWLSMwMJBZs2aZ09544w1q1arFd999h5+f323rP3fuHO7u7oSEhFCuXDk8PT0L/DxEpPA0MiBSgubOncvatWtJSEjIl5eTk8P06dPx9/enSpUqODk58cEHH3Du3Llb1hceHs7GjRuBvOH0TZs2ER4eDsC1a9dITEwkMjISJycn82vGjBkWowl/VXx8PLa2trRv377A/BMnTvDxxx9b9KFevXoAherHv/71LzIyMqhTpw5PPfUUO3bs4MaNG0XWfxFrpJEBkRLUrl07QkNDmTBhAhERERZ58+fPZ+nSpSxZsgR/f38cHR0ZNWoUWVlZt6yvT58+vPDCC3z55ZdkZGTw448/0qtXLwDS0tIAWLVqVb61Bba2tkV2Tvb29rfNT0tLo3PnzsydOzdfnoeHxx3rr1WrFqdPnyY2Npa9e/cydOhQ5s+fzyeffPK33lkhUpYpGBApYXPmzCEgIIC6detapB88eJAuXbrQt29fAHJzc/nuu+9o0KDBLeuqWbMm7du3Z8OGDWRkZPDwww9TrVreXQ7Vq1enRo0a/PDDD+bRgr+Dv78/ubm5fPLJJ+Zpgj9q0qQJ27Ztw8vLCzu7P/dPkL29PZ07d6Zz584MGzaMevXq8dVXX9GkSZO/2n0Rq6RgQKSE+fv7Ex4eTlRUlEW6r68vb7/9NocOHaJy5cosWrSI//znP7cNBiBvqmDy5MlkZWWxePFii7ypU6cyYsQIKlasSFhYGNevX+fo0aOkpqYyevToIjkfLy8v+vfvz8CBA4mKiqJx48acPXuWixcv0rNnT4YNG8aqVavo06cP48aNo0qVKnz//fds3ryZ1atX33GUIiYmhpycHFq2bImDgwPr16/H3t6e2rVrF0n/RayR1gyI3AOmTZtGbm6uRdrLL79MkyZNCA0NJSgoCHd3d7p27XrHuh5//HEuX75Menp6vvKDBg1i9erVREdH4+/vT/v27YmJicHb27sIzwZWrFjB448/ztChQ6lXrx5PPfUU165dA6BGjRocPHiQnJwc/vnPf+Lv78+oUaOoVKkSNjZ3/iepUqVKrFq1ijZt2tCoUSNiY2N59913cXV1LdJzELEmBtPdbHcmcg/JzMwkKSkJb29vjEZjXlop2IFQyqaCvo8ipYWmCaRMMRqq0crudat5NoGISFFQMCBljtFQ7a62BhYRsXZaMyAiImLlFAyIiIhYOQUDIiIiVk7BgIiIiJVTMCAiImLlFAyIiIhYOQUDIiIiVk77DEiZY7qagSm9+HYgNDiUw1Dx9k/qExG5lykYkDLFdDWD7OWHICf3zoWLiq0N5Ya1LnRAEBERwdq1axk8eDCvvfaaRd6wYcN49dVX6d+/PzExMX9DZ/8eycnJeHt7c/z4cQICAv7Wtn777Tfmzp3Ltm3bSE5OplKlSjzwwAMMHTqUbt26YTAY/tb2RcoiTRNImWJKzy7eQAAgJ/euRyJq1arF5s2bycjIMKdlZmayceNGPD09i7qHZcaVK1do3bo169atY8KECXz55Zd8+umn9OrVi3HjxnH16tWS7qJIqaRgQKQENGnShFq1arF9+3Zz2vbt2/H09CQwMNCi7PXr1xkxYgTVqlXDaDTStm1bjhw5Ys7fv38/BoOBffv20axZMxwcHGjdujWnT5+2qGfFihXcf//9lC9fnrp16/Lmm29a5F+5coXBgwdTvXp1jEYjDzzwAO+99x7Xrl3DxcWFt99+26L8zp07cXR05Pfffzc/9TAwMBCDwUBQUJC53OrVq6lfvz5Go5F69erx6quvmvOysrIYPnw4Hh4eGI1GateuzezZs2/5ub344oskJyfzxRdf0L9/fxo0aICfnx9PPfUU8fHxODk53eGTF5GCKBgQKSEDBw4kOjra/P6NN95gwIAB+cqNGzeObdu2sXbtWr788kt8fHwIDQ3l119/tSj30ksvsXDhQo4ePYqdnR0DBw405+3YsYORI0fy/PPP8/XXXzN48GAGDBjAxx9/DEBubi4dO3bk4MGDrF+/nlOnTjFnzhxsbW1xdHSkd+/eFn0FiI6O5vHHH8fZ2Zm4uDgAYmNjSUlJMQc5GzZsYNKkScycOZOEhARmzZrFxIkTWbt2LQBRUVG88847bNmyhdOnT7Nhwwa8vLwK/Lxyc3PZvHkz4eHh1KhRI1++k5MTdnaa+RT5M/R/jkgJ6du3LxMmTODs2bMAHDx4kM2bN7N//35zmWvXrrFixQpiYmLo2LEjAKtWrWLv3r2sWbOGsWPHmsvOnDmT9u3bAzB+/Hg6depEZmYmRqORBQsWEBERwdChQwEYPXo0hw8fZsGCBQQHBxMbG0tcXBwJCQn4+fkBUKdOHXPdgwYNonXr1qSkpODh4cHFixd5//33iY2NBcDNzQ0AV1dX3N3dzcdNnjyZhQsX0r17dwC8vb05deoUK1eupH///pw7dw5fX1/atm2LwWCgdu3at/y8Ll26RGpqKvXq1ftzH7iI3JJGBkRKiJubG506dSImJobo6Gg6depE1apVLcokJiaSnZ1NmzZtzGnlypWjRYsWJCQkWJRt1KiR+W8PDw8ALl68CEBCQoJFHQBt2rQx1xEfH0/NmjXNgcD/atGiBQ0bNjT/ol+/fj21a9emXbt2tzy/a9eukZiYSGRkJE5OTubXjBkzSExMBPIWU8bHx1O3bl1GjBjBhx9+eMv6TCbTLfNE5K/RyIBICRo4cCDDhw8HYPny5X+prnLlypn/vrmiPje3cIsp7e3vfCfEoEGDWL58OePHjyc6OpoBAwbcduV+WloakDeS0bJlS4s8W1tbIG/tRFJSErt37yY2NpaePXsSEhKSb30C5AVPlSpV4ttvvy3UOYlI4WlkQKQEhYWFkZWVRXZ2NqGhofnyby74O3jwoDktOzubI0eO0KBBg0K3U79+fYs6IG9a4mYdjRo14vz583z33Xe3rKNv376cPXuWqKgoTp06Rf/+/c155cuXByAnJ8ecVr16dWrUqMEPP/yAj4+PxevmgkMAFxcXevXqxapVq3jrrbfYtm1bvvUQADY2NvTu3ZsNGzbw888/58tPS0vjxo0bhfxEROSPNDIgUoJsbW3NQ/U3fy3/kaOjI0OGDGHs2LFUqVIFT09P5s2bR3p6OpGRkYVuZ+zYsfTs2ZPAwEBCQkJ499132b59u3nOv3379rRr144ePXqwaNEifHx8+PbbbzEYDISFhQFQuXJlunfvztixY/nnP/9JzZo1zfVXq1YNe3t79uzZQ82aNTEajVSsWJGpU6cyYsQIKlasSFhYGNevX+fo0aOkpqYyevRoFi1ahIeHB4GBgdjY2LB161bc3d2pVKlSgecxc+ZM9u/fT8uWLZk5cybNmjWjXLlyHDhwgNmzZ3PkyJFbHisit6aRAZES5uLigouLyy3z58yZQ48ePejXrx9NmjTh+++/54MPPqBy5cqFbqNr164sXbqUBQsW0LBhQ1auXEl0dLTFLYDbtm2jefPm9OnThwYNGjBu3DiLX/oAkZGRZGVlWdypAGBnZ0dUVBQrV66kRo0adOnSBcibWli9ejXR0dH4+/vTvn17YmJizCMDzs7OzJs3j2bNmtG8eXOSk5N5//33sbEp+J+mKlWqcPjwYfr27cuMGTMIDAzkwQcfZNOmTcyfP5+KFSsW+jMRkf8ymLQqR0qpzMxMkpKS8Pb2xmg0AqVjB8LS7M033+S5557j559/Nk8NSJ6Cvo8ipYWmCaRMMVS0p9yw1no2QRFLT08nJSWFOXPmMHjwYAUCImWMggEpcwwV7cv8xbm4zZs3j5kzZ9KuXTsmTJhQ0t0RkSKmaQIptTQsK/cSfR+lNNMCQhERESunYEBERMTKKRgQERGxcgoGRERErJyCARERESunYEBERMTKaZ8BKXvOnYNLl4qvvapVwdOzSKqKiYlh1KhRXLlypUjq+7tERERw5coVdu7cecsyQUFBBAQEsGTJkmLrl4j8OQoGpGw5dw7q1oXMzOJr02iE06cLHRBERESwdu1aIO+xw56enjz55JO8+OKLf2cvS7Xk5GS8vb05fvw4AQEBJd0dkTJHwYCULZcuFW8gAHntXbp0V6MDYWFhREdHc/36dd5//32GDRtGuXLl8PDw+Bs7KiJSMK0ZECkBFSpUwN3dndq1azNkyBBCQkJ455138pVLTEykS5cuVK9eHScnJ5o3b25+7PBNr776Kr6+vhiNRqpXr87jjz9uzgsKCuLZZ59l1KhRVK5cmerVq7Nq1SquXbvGgAEDcHZ2xsfHh927d5uPycnJITIyEm9vb+zt7albty5Lly4t8DymTp2Km5sbLi4uPPPMM2RlZd3ynN98802aNWuGs7Mz7u7uPPHEE1y8eNGcn5qaSnh4OG5ubtjb2+Pr60t0dDSA+SmHgYGBGAwG89MW9+/fT4sWLXB0dKRSpUq0adOGs2fP3uHTF5H/pWBA5B5gb29f4IU0LS2NRx55hH379nH8+HHCwsLo3Lkz586dA+Do0aOMGDGCadOmcfr0afbs2UO7du0s6li7di1Vq1YlLi6OZ599liFDhvCvf/2L1q1b8+WXX/LPf/6Tfv36kZ6eDkBubi41a9Zk69atnDp1ikmTJvHiiy+yZcsWi3r37dtHQkIC+/fvZ9OmTWzfvp2pU6fe8hyzs7OZPn06J06cYOfOnSQnJxMREWHOnzhxIqdOnWL37t0kJCSwYsUKqlatCkBcXBwAsbGxpKSksH37dm7cuEHXrl1p3749J0+e5PPPP+fpp5/GYDDc/X8AEWtnEimlMjIyTKdOnTJlZGT8N/HYMZMJiv917Fih+92/f39Tly5dTCaTyZSbm2vau3evqUKFCqYxY8aYoqOjTRUrVrzt8Q0bNjS98sorJpPJZNq2bZvJxcXF9NtvvxVYtn379qa2bdua39+4ccPk6Oho6tevnzktJSXFBJg+//zzW7Y5bNgwU48ePSzOoUqVKqZr166Z01asWGFycnIy5eTkmNseOXLkLes8cuSICTD9/vvvJpPJZOrcubNpwIABBZZNSkoyAabjx4+b0y5fvmwCTPv3779lG8WpwO+jSCmhkQGREvDee+/h5OSE0WikY8eO9OrViylTpuQrl5aWxpgxY6hfvz6VKlXCycmJhIQE88jAww8/TO3atalTpw79+vVjw4YN5l/4NzVq1Mj8t62tLa6urvj7+5vTqlevDmAxZL98+XKaNm2Km5sbTk5OvP766+Y2b2rcuDEODg7m961atSItLY0ff/yxwHM+duwYnTt3xtPTE2dnZ9q3bw9grnfIkCFs3ryZgIAAxo0bx6FDh277GVapUoWIiAhCQ0Pp3LkzS5cuJSUl5bbHiEjBFAyIlIDg4GDi4+M5c+YMGRkZrF27FkdHx3zlxowZw44dO5g1axYHDhwgPj4ef39/85SCs7MzX375JZs2bcLDw4NJkybRuHFji1sTy5UrZ1GnwWCwSLs5rJ6bmwvA5s2bGTNmDJGRkXz44YfEx8czYMCA264HuJNr164RGhqKi4sLGzZs4MiRI+zYsQPAXG/Hjh05e/Yszz33HD///DMdOnRgzJgxt603Ojqazz//nNatW/PWW2/h5+fH4cOH/3Q/RayVggGREuDo6IiPjw+enp7Y2d36pp6DBw8SERFBt27d8Pf3x93dneTkZIsydnZ2hISEMG/ePE6ePElycjIfffTRn+7bwYMHad26NUOHDiUwMBAfHx8SExPzlTtx4gQZGRnm94cPH8bJyYlatWrlK/vtt99y+fJl5syZw4MPPki9evUsRiJucnNzo3///qxfv54lS5bw+uuvA1C+fHkgb3Hj/woMDGTChAkcOnSIBx54gI0bN/7pcxexVrq1UOQe5uvry/bt2+ncuTMGg4GJEyeaf8FD3nTDDz/8QLt27ahcuTLvv/8+ubm51K1b9y+1uW7dOj744AO8vb158803OXLkiHlF/01ZWVlERkby8ssvk5yczOTJkxk+fDg2Nvl/Y3h6elK+fHleeeUVnnnmGb7++mumT59uUWbSpEk0bdqUhg0bcv36dd577z3q168PQLVq1bC3t2fPnj3UrFkTo9HIr7/+yuuvv85jjz1GjRo1OH36NGfOnOHJJ5/80+cuYq00MiByD1u0aBGVK1emdevWdO7cmdDQUJo0aWLOr1SpEtu3b+ehhx6ifv36vPbaa2zatImGDRv+6TYHDx5M9+7d6dWrFy1btuTy5csMHTo0X7kOHTrg6+tLu3bt6NWrF4899liB6x4g7xd/TEwMW7dupUGDBsyZM4cFCxZYlClfvjwTJkygUaNGtGvXDltbWzZv3gzkjX5ERUWxcuVKatSoQZcuXXBwcODbb7+lR48e+Pn58fTTTzNs2DAGDx78p89dxFoZTCaTqaQ7IfJnZGZmkpSUhLe3N0ajMS+xFOxAKGVTgd9HkVJC0wRStnh65l2YS+mzCURESoKCASl7PD11cRYRuQtaMyAiImLlFAyIiIhYOQUDIiIiVk7BgIiIiJVTMCAiImLlFAyIiIhYOQUDIiIiVk77DEiZc+7qOS6lF9+mQ1UdquJZUfsaiEjppWBAypRzV89Rd1ldMm8U33bERjsjp4efLnRAEBERwdq1axk8eDCvvfaaRd6wYcN49dVX6d+/PzExMeb0zz//nLZt2xIWFsauXbssjklOTsbb25vjx4+zc+dOpk6detv2tQO5iPwvTRNImXIp/VKxBgIAmTcy73okolatWmzevNniEcCZmZls3LgRzwJ2T1yzZg3PPvssn376KT///PMt6x0zZgwpKSnmV82aNZk2bZpFmojI/9LIgEgJaNKkCYmJiWzfvp3w8HAAtm/fjqenZ75HBaelpfHWW29x9OhRLly4QExMDC+++GKB9To5OeHk5GR+b2tri7OzM+7u7n/fyYhIqaeRAZESMnDgQKKjo83v33jjDQYMGJCv3JYtW6hXrx5169alb9++vPHGGxrqF5EipWBApIT07duXzz77jLNnz3L27FkOHjxI375985Vbs2aNOT0sLIyrV6/yySefFHd3RaQM0zSBSAlxc3OjU6dOxMTEYDKZ6NSpE1WrVrUoc/r0aeLi4tixYwcAdnZ29OrVizVr1hAUFFQCvRaRskjBgEgJGjhwIMOHDwdg+fLl+fLXrFnDjRs3qFGjhjnNZDJRoUIFli1bRsWKFYutryJSdmmaQKQEhYWFkZWVRXZ2NqGhoRZ5N27cYN26dSxcuJD4+Hjz68SJE9SoUYNNmzaVUK9FpKzRyIBICbK1tSUhIcH89x+99957pKamEhkZmW8EoEePHqxZs4Znnnmm2PoqImWXRgZESpiLiwsuLi750tesWUNISEiBUwE9evTg6NGjnDx5sji6KCJlnEYGpEyp6lAVo52x2HcgrOpQ9c4F/98fdxYsyM6dO+9YR4sWLSxuL7zVrYbJycmF7peIWC8FA1KmeFb05PTw03o2gYjIXVAwIGWOZ0VPXZxFRO6C1gyIiIhYOQUDIiIiVk7BgIiIiJVTMCAiImLlFAyIiIhYOQUDIiIiVk7BgIiIiJXTPgNS5lzOSOf37OvF1p5zuQq42jsUW3siIkVNwYCUKZcz0nnh0B6yc3OLrc1yNjbMbR1W6IAgIiKCtWvXMnv2bMaPH29O37lzJ926dcNkMrF//36Cg4NJTU2lUqVKAPz888+EhoZSuXJl3n33XT2+WESKjKYJpEz5Pft6sQYCANm5uXc9EmE0Gpk7dy6pqamFKp+YmEjbtm2pXbs2H3zwgQIBESlSCgZESkBISAju7u7Mnj37jmVPnjxJ27ZtadWqFTt37sTe3r4Yeigi1kTBgEgJsLW1ZdasWbzyyiucP3/+luUOHTpE+/bt6dGjB+vXr8fOTjN7IlL0FAyIlJBu3boREBDA5MmTb1umc+fOLFu2DIPBUIy9ExFromBApATNnTuXtWvXkpCQUGB+ly5d2LFjBwcOHCjmnomINVEwIFKC2rVrR2hoKBMmTCgwf+XKlfTu3ZuOHTvy6aefFnPvRMRaaAJSpITNmTOHgIAA6tatmy/PYDDw+uuvY2NjwyOPPMKuXbto3759CfRSRMoyBQMiJczf35/w8HCioqIKzDcYDLz22mvY2tqaA4KgoKDi7aSIlGmaJhC5B0ybNo3c2+yPYDAYWL58OQMGDKBTp058/PHHxdg7ESnrDCaTyVTSnRD5MzIzM0lKSsLb2xuj0QiUjh0IpWwq6PsoUlpomkDKFFd7B+a2DtOzCURE7oKCASlzXO0ddHEWEbkLWjMgIiJi5RQMiIiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDkFAyIiIlZO+wxImZP6o4m0y8XXnpMrVK5lKL4G71EXLlygX79+HDp0iHLlynHlypUC00Tk3qNgQMqU1B9NzAzM5UbxbUCIXQV46bjNXQUEFy5cYObMmezatYuffvqJatWqERAQwKhRo+jQoQMAXl5enD17FgCj0Uj16tVp0aIFzzzzDA899FCB9V6+fJnGjRvz008/kZqaSqVKlf7y+RXW4sWLSUlJIT4+nooVK94y7a/y8vJi1KhRjBo1qkjqExFNE0gZk3aZYg0EIK+9uxmJSE5OpmnTpnz00UfMnz+fr776ij179hAcHMywYcMsyk6bNo2UlBROnz7NunXrqFSpEiEhIcycObPAuiMjI2nUqNEd+zBlyhQiIiIK3+lCSExMpGnTpvj6+lKtWrVbpt0rsrKySroLIvcMBQMixWzo0KEYDAbi4uLo0aMHfn5+NGzYkNGjR3P48GGLss7Ozri7u+Pp6Um7du14/fXXmThxIpMmTeL06dMWZVesWMGVK1cYM2bM39Lvf//73zRp0gSj0UidOnWYOnUqN27cAPJ+rW/bto1169ZhMBiIiIgoMA3gypUrDBo0CDc3N1xcXHjooYc4ceKERVvvvvsuzZs3x2g0UrVqVbp16wZAUFAQZ8+e5bnnnsNgMGAw/Hc0Ztu2bTRs2JAKFSrg5eXFwoULLer08vJi+vTpPPnkk7i4uPD000//LZ+TSGmkYECkGP3666/s2bOHYcOG4ejomC+/MMP6I0eOxGQy8e9//9ucdurUKaZNm8a6deuwsSn6/60PHDjAk08+yciRIzl16hQrV64kJibGPEJx5MgRwsLC6NmzJykpKSxdurTANIB//etfXLx4kd27d3Ps2DGaNGlChw4d+PXXXwHYtWsX3bp145FHHuH48ePs27ePFi1aALB9+3Zq1qxpHjFJSUkB4NixY/Ts2ZPevXvz1VdfMWXKFCZOnEhMTIzFeSxYsIDGjRtz/PhxJk6cWOSfk0hppTUDIsXo+++/x2QyUa9evT9dR5UqVahWrRrJyckAXL9+nT59+jB//nw8PT354Ycfiqi3/zV16lTGjx9P//79AahTpw7Tp09n3LhxTJ48GTc3NypUqIC9vT3u7u7m4/437bPPPiMuLo6LFy9SoUIFIO8CvXPnTt5++22efvppZs6cSe/evZk6daq5nsaNG5vP3dbW1jxictOiRYvo0KGD+QLv5+fHqVOnmD9/vsV0yEMPPcTzzz9f5J+PSGmnYECkGJlMpiKr5+YQ+YQJE6hfvz59+/a9ZfkDBw7QsWNH8/usrCxMJhNvv/22OW3lypWEh4cXePyJEyc4ePCgxVqFnJwcMjMzSU9Px8GhcE+JPHHiBGlpabi6ulqkZ2RkkJiYCEB8fDxPPfVUoeq7KSEhgS5duliktWnThiVLlpCTk4OtrS0AzZo1u6t6RayFggGRYuTr64vBYODbb7/903VcvnyZX375BW9vbwA++ugjvvrqK/OF/WbAUbVqVV566SWmTp1Ks2bNiI+PN9cRFRXFTz/9xNy5c81p1atXv2WbaWlpTJ06le7du+fLMxqNhe57WloaHh4e7N+/P1/ezSkSe3v7Qtd3twqamhERBQMixapKlSqEhoayfPlyRowYke/idOXKlTuuG1i6dCk2NjZ07doVyFs4l5GRYc4/cuQIAwcO5MCBA9x///1A3gXWx8fHoh+//fabRdrtNGnShNOnTxe6/O3quXDhAnZ2dnh5eRVYplGjRuzbt48BAwYUmF++fHlycnIs0urXr8/Bgwct0g4ePIifn595VEBEbk3BgEgxW758OW3atKFFixZMmzaNRo0acePGDfbu3cuKFStISEgwl/3999+5cOEC2dnZJCUlsX79elavXs3s2bPNF+abF/ybLl26BORdIItqn4FJkybx6KOP4unpyeOPP46NjQ0nTpzg66+/ZsaMGYWuJyQkhFatWtG1a1fmzZuHn58fP//8s3nRYLNmzZg8eTIdOnTg/vvvp3fv3ty4cYP333+fF154Aci7K+DTTz+ld+/eVKhQgapVq/L888/TvHlzpk+fTq9evfj8889ZtmwZr776apGcv0hZp7sJRIpZnTp1+PLLLwkODub555/ngQce4OGHH2bfvn2sWLHCouykSZPw8PDAx8eHfv36cfXqVfbt22e+MBaX0NBQ3nvvPT788EOaN2/OP/7xDxYvXkzt2rXvqh6DwcD7779Pu3btGDBgAH5+fvTu3ZuzZ8+apymCgoLYunUr77zzDgEBATz00EPExcWZ65g2bRrJycncf//9uLm5AXkjDlu2bGHz5s088MADTJo0iWnTphX5XgoiZZXBVFQrmkSKWWZmJklJSXh7e5vnrUvLDoRS9hT0fRQpLTRNIGVK5VoGXjpuo2cTiIjcBQUDUuZUrmWgcq2S7oWISOmhNQMiIiJWTsGAiIiIlVMwICIiYuUUDIiIiFg5BQMiIiJWTsGAiIiIlVMwICIiYuW0z4CUOefOXeXSpfRia69qVQc8PSsWW3siIkVNwYCUKefOXaVu3WVkZt4otjaNRjtOnx7+twUEycnJ5scVAzg5OeHp6UlQUBCjRo3C19fXonxWVhZLlixhw4YNnDlzBgcHB+rWrcugQYPo27cv5cqV+1v6KSKll4IBKVMuXUov1kAAIDPzBpcupf/towOxsbE0bNiQ9PR0vvrqK5YuXUrjxo1599136dChA5AXCISGhnLixAmmT59OmzZtcHFx4fDhwyxYsIDAwEACAgL+1n6KSOmjNQMixSwoKIhnn32WUaNGUblyZapXr86qVau4du0aAwYMwNnZGR8fH3bv3m1xnKurK+7u7tSpU4cuXboQGxtLy5YtiYyMJCcnB4AlS5bw6aefsm/fPoYNG0ZAQAB16tThiSee4IsvvjCPIrz99tv4+/tjb2+Pq6srISEhXLt2rdg/CxG5NygYECkBa9eupWrVqsTFxfHss88yZMgQ/vWvf9G6dWu+/PJL/vnPf9KvXz/S02+99sHGxoaRI0dy9uxZjh07BsCGDRsICQkhMDAwX/ly5crh6OhISkoKffr0YeDAgSQkJLB//366d++OHmAqYr0UDIiUgMaNG/Pyyy/j6+vLhAkTMBqNVK1alaeeegpfX18mTZrE5cuXOXny5G3rqVevHpC3rgDgzJkz5rRbSUlJ4caNG3Tv3h0vLy/8/f0ZOnQoTk5ORXJuIlL6KBgQKQGNGjUy/21ra4urqyv+/v7mtOrVqwNw8eLF29Zz89e8wWCweH87jRs3pkOHDvj7+/Ovf/2LVatWkZqaetfnICJlh4IBkRLwvyv6DQaDRdrNi3tubu5t60lISAAw323g5+fHt99+e9tjbG1t2bt3L7t376ZBgwa88sor1K1bl6SkpLs+DxEpGxQMiJRSubm5REVF4e3tbV4j8MQTTxAbG8vx48fzlc/OzjYvEjQYDLRp04apU6dy/Phxypcvz44dO4q1/yJy79CthSKlxOXLl7lw4QLp6el8/fXXLFmyhLi4OHbt2oWtrS0Ao0aNYteuXXTo0IHp06fTtm1bnJ2dOXr0KHPnzmXNmjVcv36dffv28c9//pNq1arxxRdf8Msvv1C/fv0SPkMRKSkKBqRMqVrVAaPRrtg3Hapa1eFvbyckJAQABwcHateuTXBwMK+//jo+Pj7mMhUqVGDv3r0sXryYlStXMmbMGBwcHKhfvz4jRozggQce4MyZM3z66acsWbKE3377jdq1a7Nw4UI6duz4t5+DiNybDCbdTySlVGZmJklJSXh7e2M0Gs3p2o5YSsKtvo8ipYFGBqTM8fSsqIuziMhd0AJCERERK6dgQERExMopGBAREbFyCgZERESsnIIBERERK6dgQERExMopGBAREbFyCgZERESsnDYdkjLnt1QTmdeKrz2jI7hUNhRfg/ew/fv3ExwcTGpqKpUqVSrp7uQzZcoUdu7cSXx8fEl3ReSeomBAypTfUk2snZNDTvE9mgBbO+g/3vauAoILFy4wc+ZMdu3axU8//US1atUICAhg1KhRdOjQAQAvLy/Onj0LgNFopHr16rRo0YJnnnmGhx56yKK+I0eOMH78eI4dO4bBYKBFixbMmzePxo0bF92J/o+goCACAgJYsmSJOa1169akpKRQsWLR7QCpC7jI30/TBFKmZF6jWAMByGvvbkYikpOTadq0KR999BHz58/nq6++Ys+ePQQHBzNs2DCLstOmTSMlJYXTp0+zbt06KlWqREhICDNnzjSXSUtLIywsDE9PT7744gs+++wznJ2dCQ0NJTs7u6hOs1DKly+Pu7s7BoNGSkRKEwUDIsVs6NChGAwG4uLi6NGjB35+fjRs2JDRo0dz+PBhi7LOzs64u7vj6elJu3bteP3115k4cSKTJk3i9OnTAHz77bf8+uuvTJs2jbp169KwYUMmT57Mf/7zH/PIQkEWLVqEv78/jo6O1KpVi6FDh5KWlmZR5uDBgwQFBeHg4EDlypUJDQ0lNTWViIgIPvnkE5YuXYrBYMBgMJCcnMz+/fsxGAxcuXKF3377DXt7e3bv3m1R544dO3B2diY9Pe9hUi+88AJ+fn44ODhQp04dJk6caA5iYmJimDp1KidOnDC3ExMTA8CVK1cYNGgQbm5uuLi48NBDD3HixAmLtubMmUP16tVxdnYmMjKSzMzMu/8PJmIFFAyIFKNff/2VPXv2MGzYMBwdHfPlF2aefeTIkZhMJv79738DULduXVxdXVmzZg1ZWVlkZGSwZs0a6tevj5eX1y3rsbGxISoqim+++Ya1a9fy0UcfMW7cOHN+fHw8HTp0oEGDBnz++ed89tlndO7cmZycHJYuXUqrVq146qmnSElJISUlhVq1alnU7+LiwqOPPsrGjRst0jds2EDXrl1xcMh77LOzszMxMTGcOnWKpUuXsmrVKhYvXgxAr169eP7552nYsKG5nV69egHwr3/9i4sXL7J7926OHTtGkyZN6NChA7/++isAW7ZsYcqUKcyaNYujR4/i4eHBq6++esfPV8Qaac2ASDH6/vvvMZlM1KtX70/XUaVKFapVq0ZycjKQdzHdv38/Xbt2Zfr06QD4+vrywQcfYGd36//FR40aZf7by8uLGTNm8Mwzz5gvmPPmzaNZs2YWF9CGDRua/y5fvjwODg64u7vfso3w8HD69etHeno6Dg4O/Pbbb+zatYsdO3aYy7z88ssW/RgzZgybN29m3Lhx2Nvb4+TkhJ2dnUU7n332GXFxcVy8eJEKFSoAsGDBAnbu3Mnbb7/N008/zZIlS4iMjCQyMhKAGTNmEBsbq9EBkQJoZECkGJlMpiKr5+a8fEZGBpGRkbRp04bDhw9z8OBBHnjgATp16kRGRsYt64iNjaVDhw7cd999ODs7069fPy5fvmwevr85MvBXPPLII5QrV4533nkHgG3btuHi4kJISIi5zFtvvUWbNm1wd3fHycmJl19+mXPnzt223hMnTpCWloarqytOTk7mV1JSEomJiQAkJCTQsmVLi+NatWr1l85HpKzSyIBIMfL19cVgMPDtt9/+6TouX77ML7/8gre3NwAbN24kOTmZzz//HBsbG3Na5cqV+fe//03v3r3z1ZGcnMyjjz7KkCFDmDlzJlWqVOGzzz4jMjKSrKwsHBwcsLe3/9N9vKl8+fI8/vjjbNy4kd69e7Nx40Z69eplHrH4/PPPCQ8PZ+rUqYSGhlKxYkU2b97MwoULb1tvWloaHh4e7N+/P1/evXhLo8i9TiMDIsWoSpUqhIaGsnz5cq5dy38LwpUrV+5Yx9KlS7GxsaFr164ApKenY2NjY7GC/+b73NzcAus4duwYubm5LFy4kH/84x/4+fnx888/W5Rp1KgR+/btu2U/ypcvT05Ozh37Gx4ezp49e/jmm2/46KOPCA8PN+cdOnSI2rVr89JLL9GsWTN8fX3zLXosqJ0mTZpw4cIF7Ozs8PHxsXhVrVoVgPr16/PFF19YHPe/CzRFJI+CAZFitnz5cnJycmjRogXbtm3jzJkzJCQkEBUVlW8Y+/fff+fChQv8+OOPfPrppzz99NPMmDGDmTNn4uPjA8DDDz9Mamoqw4YNIyEhgW+++YYBAwZgZ2dHcHBwgX3w8fEhOzubV155hR9++IE333yT1157zaLMhAkTOHLkCEOHDuXkyZN8++23rFixgkuXLgF58/tffPEFycnJXLp06ZaBR7t27XB3dyc8PBxvb2+LoXtfX1/OnTvH5s2bSUxMJCoqymI9wc12kpKSiI+P59KlS1y/fp2QkBBatWpF165d+fDDD0lOTubQoUO89NJLHD16FMhbaPnGG28QHR3Nd999x+TJk/nmm2/u4r+UiPVQMCBlitExbxOg4mRrl9duYdWpU4cvv/yS4OBgnn/+eR544AEefvhh9u3bx4oVKyzKTpo0CQ8PD3x8fOjXrx9Xr15l3759vPDCC+Yy9erV49133+XkyZO0atWKBx98kJ9//pk9e/bg4eFRYB8aN27MokWLmDt3Lg888AAbNmxg9uzZFmX8/Pz48MMPOXHiBC1atKBVq1b8+9//Ng/xjxkzBltbWxo0aICbm9st5/kNBgN9+vThxIkTFqMCAI899hjPPfccw4cPJyAggEOHDjFx4kSLMj169CAsLIzg4GDc3NzYtGkTBoOB999/n3bt2jFgwAD8/Pzo3bs3Z8+epXr16kDenQgTJ05k3LhxNG3alLNnzzJkyJBC/BcSsT4GU1GtaBIpZpmZmSQlJeHt7Y3RaDSnaztiKQm3+j6KlAZaQChljktlAy6VS7oXIiKlh6YJRERErJyCARERESunYEBERMTKKRgQERGxcgoGRERErJyCARERESunYEBERMTKKRgQERGxctp0SMqcK2k/kZ75a7G152CsQiWn+4qtPRGRoqZgQMqUK2k/sWT7g9zIuV5sbdrZVmBU9wOFCgg6d+5MdnY2e/bsyZd34MAB2rVrx4kTJ2jcuLE53cnJCU9PT4KCghg1ahS+vr7mvO3bt7NixQri4+O5fv06DRs2ZMqUKYSGhhbNyYmIVdA0gZQp6Zm/FmsgAHAj53qhRyIiIyPZu3cv58+fz5cXHR1Ns2bNcHFxASA2NpaUlBROnDjBrFmzSEhIoHHjxhaPFf700095+OGHef/99zl27BjBwcF07tyZ48eP37IPQUFBxMTE3N1JikiZpmBApBg9+uijuLm55bsYp6WlsXXrViIjI81prq6uuLu7U6dOHbp06UJsbCwtW7YkMjKSnJwcAJYsWcK4ceNo3rw5vr6+zJo1C19fX959993iPC0RKeUUDIgUIzs7O5588kliYmL44wNDt27dSk5ODn369LnlsTY2NowcOZKzZ89y7NixAsvk5uby+++/U6VKlSLvu4iUXQoGRIrZwIEDSUxM5JNPPjGnRUdH06NHDypWrHjbY+vVqwdAcnJygfkLFiwgLS2Nnj17Fll/RaTsUzAgUszq1atH69ateeONNwD4/vvvOXDggMUUwa3cHE0wGAz58jZu3MjUqVPZsmUL1apVM6fPmjULJycn8+vAgQM888wzFmnnzp0rorMTkdJIdxOIlIDIyEieffZZli9fTnR0NPfffz/t27e/43EJCQkAeHt7W6Rv3ryZQYMGsXXrVkJCQizynnnmGYuRgvDwcHr06EH37t3NaTVq1PgrpyMipZyCAZES0LNnT0aOHMnGjRtZt24dQ4YMKfDX/h/l5uYSFRWFt7c3gYGB5vRNmzYxcOBANm/eTKdOnfIdV6VKFYs1BPb29lSrVg0fH5+iOyERKdUUDIiUACcnJ3r16sWECRP47bffiIiIyFfm8uXLXLhwgfT0dL7++muWLFlCXFwcu3btwtbWFsibGujfvz9Lly6lZcuWXLhwAci74N9p/YGIyE1aMyBlioOxCna2FYq1TTvbCjgY7371fmRkJKmpqYSGhhY4TB8SEoKHhwf+/v6MHz+e+vXrc/LkSYKDg81lXn/9dW7cuMGwYcPw8PAwv0aOHPmXzklErIvB9Mf7m0RKkczMTJKSkvD29sZoNJrTtR2xlIRbfR9FSgNNE0iZU8npPl2cRUTugqYJRERErJyCARERESunYEBERMTKKRgQERGxcgoGRERErJyCARERESunYEBERMTKKRgQERGxctp0SMqcc1evcik9vdjaq+rggKeeAyAipZiCASlTzl29St1ly8i8caPY2jTa2XF6+PBCBQSdO3cmOzubPXv25Ms7cOAA7dq148SJEzRu3Nic7uTkhKenJ0FBQYwaNQpfX19z3vbt21mxYgXx8fFcv36dhg0bMmXKFEJDQ4vm5ETEKmiaQMqUS+npxRoIAGTeuFHokYjIyEj27t3L+fPn8+VFR0fTrFkzXFxcAIiNjSUlJYUTJ04wa9YsEhISaNy4Mfv27TMf8+mnn/Lwww/z/vvvc+zYMYKDg+ncuTPHjx8vmpMTEaugYECkGD366KO4ubkRExNjkZ6WlsbWrVuJjIw0p7m6uuLu7k6dOnXo0qULsbGxtGzZksjISHJycgBYsmQJ48aNo3nz5vj6+jJr1ix8fX159913i/O0RKSUUzAgUozs7Ox48skniYmJ4Y8PDN26dSs5OTn06dPnlsfa2NgwcuRIzp49y7Fjxwosk5uby++//06VKnf/SGURsV4KBkSK2cCBA0lMTOSTTz4xp0VHR9OjRw8q3mHdQb169QBITk4uMH/BggWkpaXRs2fPIuuviJR9CgZEilm9evVo3bo1b7zxBgDff/89Bw4csJgiuJWbowkGgyFf3saNG5k6dSpbtmyhWrVqAGzYsAEnJyfz68CBA0V4JiJSVigYECkBkZGRbNu2jd9//53o6Gjuv/9+2rdvf8fjEhISAPD29rZI37x5M4MGDWLLli2EhISY0x977DHi4+PNr2bNmhXtiYhImaBgQKQE9OzZExsbGzZu3Mi6desYOHBggb/2/yg3N5eoqCi8vb0JDAw0p2/atIkBAwawadMmOnXqZHGMs7MzPj4+5pe9vf3fcj4iUrppnwGREuDk5ESvXr2YMGECv/32GxEREfnKXL58mQsXLpCens7XX3/NkiVLiIuLY9euXdja2gJ5UwP9+/dn6dKltGzZkgsXLgBgb29/x/UHIiI3aWRAypSqDg4Y7Yo3xjXa2VHVweGuj4uMjCQ1NZXQ0FBq1KiRLz8kJAQPDw/8/f0ZP3489evX5+TJkwQHB5vLvP7669y4cYNhw4bh4eFhfo0cOfIvnZOIWBeD6Y/3N4mUIpmZmSQlJeHt7Y3RaDSnaztiKQm3+j6KlAaaJpAyx7NiRV2cRUTugqYJRERErJyCARERESunYEBERMTKKRiQUk9rYOVeoO+hlGYKBqTUunmvfVZWVgn3ROS/38Ob30uR0kR3E0ipZWdnh4ODA7/88gvlypXDxkaxrZSM3NxcfvnlFxwcHLAr5n0uRIqC9hmQUi0rK4ukpCRyc3NLuiti5WxsbPD29qZ8+fIl3RWRu6ZgQEq93NxcTRVIiStfvrxGp6TUUjAgIiJi5RTGioiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDkFAyIiIlZOwYCIiIiVUzAgIiJi5RQMiIiIWDkFAyIiIlbu/wDNxhXxwLy2FwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(16)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "patches = []\n", + "for code in range(16):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + " \n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(cell_label, xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, list_cell_codes=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes[:n_marker_genes], cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " ax.set_xlabel(\"MDS-1\")\n", + " ax.set_ylabel(\"MDS-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 1:\n", + " flag[l] = 1\n", + "\n", + " \n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " # if p1[l] > .5 and p2[l] > .5:\n", + " if p2[l] > .5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(rand_score(labels_matched, list_cell_codes),4)) \n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=16\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (16-class)\", k=k, ax=ax, list_cell_codes=list_cell_codes)\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/abis_ism.ipynb b/examples/abis_ism.ipynb new file mode 100644 index 0000000..7b2f63a --- /dev/null +++ b/examples/abis_ism.ipynb @@ -0,0 +1,576 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import adjusted_rand_score\n", + "from sklearn.metrics.cluster import normalized_mutual_info_score\n", + "from sklearn import metrics\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "\n", + "from ism_utils import specificity_score, specificity_plot\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 4 views.\n", + "There are 915 observations\n", + "The feature sizes are: [16, 16, 16, 16]\n" + ] + } + ], + "source": [ + "df = pd.read_csv(DATA_PATH+'abis_915.csv', na_values=' ', index_col='gene_id')\n", + "# df = pd.read_csv(RESULTS_PATH + r'\\abis_915_1000_random_genes.csv', na_values=' ', index_col='gene_id')\n", + "\n", + "# df_cell_type_connection = pd.read_csv(RESULTS_PATH + r'cell_type_connection.csv', na_values=' ', index_col='cell_type')\n", + "# cell_type_connection = df_cell_type_connection.values.astype(np.float_)\n", + "\n", + "max_rows = df.iloc[:,1:].apply(lambda x: x.sort_values(ascending=False).values, axis=1, result_type='broadcast').iloc[:,:4].mean(axis=1).values\n", + "df_norm = df.iloc[np.nonzero(max_rows)[0],1:].divide(max_rows[np.nonzero(max_rows)[0]], axis='rows')\n", + "\n", + "list_cell_codes, list_cell_types = pd.factorize(df.iloc[:,0])\n", + "\n", + "m0 = df_norm.values.astype(np.float_)\n", + "\n", + "list_columns = df.columns[1:].to_list()\n", + "score_pref = ['9JD4', '925L', 'DZQV', 'G4YW']\n", + "n_scores = len(score_pref)\n", + "list_items = df.columns[1:].str[5:].to_list()[0:int((df.shape[1]-1)/n_scores)]\n", + "\n", + "n_items = [len(list_items) for i in range(n_scores+1)]\n", + "Xs=[m0[:,i*n_items[0]:(i+1)*n_items[0]] for i in range(n_scores)]\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[X.shape[1] for X in Xs]}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.33\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "iteration 3...\n", + "iteration 4...\n", + "iteration 5...\n", + "iteration 6...\n", + "iteration 7...\n", + "iteration 8...\n", + "iteration 9...\n", + "error ism after straightening: 0.35\n", + "condition number(16, 16) = 3.43\n", + "calinski_harabasz_score: 641.6771725978376\n", + "Silhouette Score: 0.5435715604210088\n" + ] + } + ], + "source": [ + "n_embedding, n_themes = [16,16]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=0, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=0.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n", + "\n", + "cluster = np.argmax(w4_ism, axis=1)+1\n", + "calinski_harabasz_score = metrics.calinski_harabasz_score(w4_ism, cluster)\n", + "print(f'calinski_harabasz_score: {calinski_harabasz_score}')\n", + "silhouette_score = metrics.silhouette_score(w4_ism, cluster, metric='euclidean')\n", + "print(f'Silhouette Score: {silhouette_score}')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism_predict_w: 0.36\n" + ] + } + ], + "source": [ + "# test ism_predict_w\n", + "ilsm_result = ilsm.ism_predict_w(Xs, hv_sparse, h4_ism, q4_ism, n_themes, norm_columns = 0, \n", + " max_iter_mult=200)\n", + "\n", + "w4_ism_predict_w = ilsm_result['W']\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1008.5321028509302]\n" + ] + } + ], + "source": [ + "# 16-16 with .8\n", + "# generate N visually distinct colours\n", + "mds = MDS(n_components=2, random_state=0)\n", + "n_marker_genes = 915\n", + "\n", + "stress = []\n", + "w4_ism_mds = mds.fit_transform(normalize(w4_ism[:n_marker_genes,:], axis=0, norm='l2'))\n", + "stress.append(mds.stress_)\n", + "\n", + "print(stress)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14 11.46\n", + "0.9804\n", + "0.9527\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(16)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "patches = []\n", + "for code in range(16):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + " \n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(cell_label, xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, list_cell_codes=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes[:n_marker_genes], cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " ax.set_xlabel(\"MDS-1\")\n", + " ax.set_ylabel(\"MDS-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 1:\n", + " flag[l] = 1\n", + "\n", + " \n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " # if p1[l] > .5 and p2[l] > .5:\n", + " if p2[l] > .5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(adjusted_rand_score(labels_matched, list_cell_codes),4)) \n", + " print(round(normalized_mutual_info_score(list_cell_codes, labels_matched),4)) \n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=16\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (16-class)\", k=k, ax=ax, list_cell_codes=list_cell_codes)\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.linear_model import LinearRegression\n", + "\n", + "regressor = LinearRegression()\n", + "\n", + "fig, ax = plt.subplots(1, 7, figsize=(20, 5), constrained_layout=True)\n", + "for i in range(7):\n", + " regressor.fit(w4_ism_predict_w[:,i].reshape(-1, 1), w4_ism[:,i])\n", + " ax[i].plot(w4_ism_predict_w[:,i], regressor.predict(w4_ism_predict_w[:,i].reshape(-1, 1)), color='r', label='Linear Trend')\n", + " ax[i].scatter(w4_ism_predict_w[:,i], w4_ism[:,i], color='b')\n", + " ax[i].set_xlabel('w4_ism('+str(i)+')')\n", + " ax[i].set_ylabel('w4_ism_predict_w('+str(i)+')')\n", + " ax[i].set_title('w4_ism_predict_w vs w4_ism '+str(i))\n", + " ax[i].grid(True)\n", + " ax[i].legend()\n", + "\n", + "plt.show()\n", + "\n", + "fig, ax = plt.subplots(1, 7, figsize=(20, 5), constrained_layout=True)\n", + "for i in range(7):\n", + " regressor.fit(w4_ism_predict_w[:,i+7].reshape(-1, 1), w4_ism[:,i+7])\n", + " ax[i].plot(w4_ism_predict_w[:,i+7], regressor.predict(w4_ism_predict_w[:,i+7].reshape(-1, 1)), color='r', label='Linear Trend')\n", + " ax[i].scatter(w4_ism_predict_w[:,i+7], w4_ism[:,i+7], color='b')\n", + " ax[i].set_xlabel('w4_ism('+str(i+7)+')')\n", + " ax[i].set_ylabel('w4_ism_predict_w('+str(i+7)+')')\n", + " ax[i].set_title('w4_ism_predict_w vs w4_ism '+str(i+7))\n", + " ax[i].grid(True)\n", + " ax[i].legend()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.07959182 -0.07399181 0.94821124 -0.08805347 0.89206206 -0.05869991\n", + " 0.0057159 -0.31712777 -0.1105001 0.01506437 -0.18024712 -0.19863775\n", + " -0.24858373 -0.23729894 -0.57267003 -0.14812126]\n", + " [-0.02210896 -0.00939047 -0.00321861 -0.07518867 -0.0044155 -0.04900312\n", + " -0.07195455 -0.13397687 -0.03823424 -0.05908368 0.96420706 0.09921805\n", + " -0.11974539 -0.11831941 -0.30836726 -0.07461882]\n", + " [-0.03887514 -0.03680175 0.00269026 0.96583974 -0.00534135 -0.05899152\n", + " 0.06523924 -0.18174082 -0.06821592 0.06840559 -0.00957087 -0.09895279\n", + " -0.142171 -0.13323125 -0.3797972 0.01165714]\n", + " [ 0.97284037 0.9830283 -0.06813854 -0.02160886 -0.06561496 -0.09174649\n", + " -0.12517203 -0.28994612 -0.0947125 -0.11830806 -0.09837992 -0.13953654\n", + " -0.23911772 -0.23898702 -0.64035241 -0.08776474]\n", + " [-0.00640267 -0.00239426 -0.0299107 -0.05434158 -0.02704718 -0.04698372\n", + " -0.06593196 -0.11773724 0.02693438 -0.05731838 0.06730259 0.96916871\n", + " -0.11577122 -0.10631594 -0.28066125 -0.06917313]\n", + " [-0.06020084 -0.05591516 -0.05344602 -0.11298893 -0.04975516 0.98408355\n", + " -0.11791445 -0.2295853 -0.07190009 -0.10915063 -0.12883483 -0.0452459\n", + " -0.19241641 -0.17925487 -0.47633054 -0.12741198]\n", + " [-0.04471453 -0.03771274 -0.04279975 -0.08835575 -0.03970536 -0.00655685\n", + " -0.09118318 0.88431443 -0.06106506 -0.08540158 -0.08354191 -0.09521549\n", + " -0.12947635 -0.09342674 -0.17782254 -0.09968112]\n", + " [-0.02113586 -0.02394637 -0.01296638 0.10494647 -0.005905 -0.05257017\n", + " 0.95974429 -0.11212367 -0.05763486 0.91029291 -0.0601498 -0.09726809\n", + " -0.16265021 -0.14286391 -0.38904855 0.1701203 ]\n", + " [-0.06343974 -0.05764867 -0.06046693 -0.11341324 -0.05668518 -0.09243933\n", + " -0.04819 -0.25891624 0.98367742 -0.04492786 -0.04521191 -0.03284554\n", + " -0.21548979 -0.19981852 -0.52991719 -0.12646869]\n", + " [-0.02303557 -0.02549599 -0.03514995 -0.0695011 -0.03407138 -0.04914281\n", + " -0.07249214 -0.05134936 -0.00129316 -0.06812642 -0.08230789 -0.08377058\n", + " -0.09092911 0.9544022 -0.11077986 -0.08129452]\n", + " [-0.02857959 -0.03289743 -0.02319874 -0.04902338 -0.02065314 -0.04359126\n", + " -0.06261546 -0.12415853 -0.0471321 -0.06110829 -0.07547086 -0.08816122\n", + " 0.95383036 -0.00502196 0.01494894 -0.07643374]\n", + " [-0.0463241 -0.04445904 -0.0433811 -0.08678032 -0.03910454 -0.05958848\n", + " -0.08202332 0.8833091 -0.06214719 -0.08841254 -0.11290909 -0.11104088\n", + " -0.01240312 0.00575561 -0.01146004 -0.09407843]\n", + " [ 0.01132387 -0.02412154 -0.02693074 0.03218299 -0.03015267 -0.04901195\n", + " 0.09295027 -0.07814421 -0.05721836 0.06869419 -0.0543431 -0.08161275\n", + " -0.11614888 -0.11410629 -0.29420722 0.96477885]\n", + " [-0.03639649 -0.03685773 -0.0363557 -0.06968971 -0.03503563 -0.05589524\n", + " -0.06771323 0.07827439 -0.05193287 -0.06558134 -0.09388886 -0.10143568\n", + " -0.08237747 0.03482004 0.76058 -0.02988429]\n", + " [-0.03393442 -0.03272997 -0.0315979 -0.06476318 -0.03048441 -0.03592646\n", + " -0.06746221 -0.10414294 -0.03597929 -0.06333213 -0.08320087 -0.08492164\n", + " 0.13676279 0.0043233 0.86201712 -0.0763126 ]\n", + " [-0.03379221 -0.03345912 -0.0341505 -0.0695032 -0.02750518 -0.0511\n", + " -0.0714647 -0.1299798 -0.04635712 -0.06689836 -0.08799251 -0.09442747\n", + " 0.0882473 0.00651936 0.85996963 -0.08004841]]\n" + ] + }, + { + "data": { + "image/png": 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alpluzz//vNVlOVtLpmxvrrnat29PLVu2pOvXr0vLlpSUUOPGjQkAvf3222Y1gSnbCRMmeHWO1tizr2B6r++//77FPu7kyZMJAG3bts0sW9OvZiMjI83W5U3Zml7T9P++PZOqw4YNIwBVjgErVqwgANSrVy/uuw7s51buu0lJSeTv70/nz5+3GF9N+YaHh5s9n7O1zWAwSP28Xr169OabbxKR5baLs7U/24qKCoqLi6M+ffqQTqejSZMmEfDv6UFuzpbHXPvej+m1nn32Wfroo49o5cqVlJaWRgDotttuo7KyMovlTdkWFBRU+bqVyXIhxuLiYgA3LlZlj88++wwVFRUYOHAgCgsLpVtYWBhatGiBjRs3imwuUlNTkZeXZ3aRhg8//BCRkZFITEw0WzYiIgIPPPCA9Le/vz9SU1OxY8cO5OfnAwBWr16N22+/HUFBQWbvJykpCeXl5fjhhx+qbM/Zs2cRFBRkcf/Vq1eh1d74SCtn6+vrKz1emWkdnO2/bGUL/Ntv/fz87HpvRqMRRMTZ/sOebOvWrYt9+/Zh3LhxSEhIQFpamtXlOVtzVWVrai8AdOvWDffeey/Ky8stLvRjEhQUhF27dvG4UImtfM+ePYuXX34ZABASElLt++Ix15KtbLt164ZFixYBAFq0aIGpU6diy5Yt0Gg0mDZtmsXynK0lW9leunRJqgduu+02PPjgg3jzzTcxevRorFq1CgcOHDBbnrO1ZO/2bMWKFfDx8cHAgQOtLsvZWqoq2wYNGgAA4uPj8emnn+LRRx/FK6+8goULF1osy9laMmV7837YE088gT///BOPPfYY9uzZgz/++AOpqak4deoUAODHH380y7G8vBwAUFpa6tU5WmPPvoJp/DUajRb7uBUVFQCAgIAAs2xNr2fK3lU8KVvg33ztdejQIQCocgwwvd61a9ccWrc9PClfR/dzTX337Nmz2LBhA6ZPn47r169bjK/cdx3P9rHHHpPq3YiICJw+fdrqtouztT/b5cuXY9euXejYsSMqKirQq1cvAMDly5c52yrGXHtkZmYiKysLAwcOxODBg7F8+XK8/PLL2Lx5Mz755BOL5U2vV1hYaPdryDJp7e/vDwB2XzXywIEDICK0aNEC9evXN7vt3bsXp0+fFtlcDBo0CEajER9++CEAoKioCF9++SUeeeQRaDQas2WbN29ucV/Lli0BAEeOHJHez7p16yzeS1JSEgDY9X7opqvzAkCtWrWkYqdytqaNcK1atWyug7P9l7VsgX/77ZUrV+x6b6ZBjrP9V3XZnjlzBr169UJAQAA++eQT6HQ6q8tztpZsZQsAnTp1AgDUr18fX375JS5duoT777/f6nOICJcuXeIx9ybWspo+fTqCg4MB2Lc94zHXuurGBVO2zZs3R9++fbFx40aLIpKztc5WrWBSud8+/PDDAIDc3Fyb6+Bs/1Vdvz1//jy++OILJCcno169etWug7P9l7VsV61ahWeffRYAEBYWhgcffBD//e9/kZaWhmeffRZnz561uQ7O9l9EZDG2jhkzBs899xxWrFiBtm3bon379vjrr78wZcoUAMC5c+fMaoLIyEgAwKJFi7w6R2vs2VcwjcElJSUW+7ivv/669D4qZ1tVjVcTnpQt8G++9ioqKgJQ9Rhger2b35sreFK+ju7nmvru3LlzAQBTpkyxOr5y33U8W9O6MjMzsWvXLrz00kucbQ2yLS4uxrRp0zB58mScOXMGRIS77roLADBz5kzOVsB7nTBhArRaLTZs2GDz9RwZc/Uua5kD/P39ERERgT/++MOu5SsqKqDRaPD1119bncSqU6eOq5toJigoCL1798aHH36IjIwMfPLJJygpKcHQoUOdWl9FRQV69OghFYM3M3VGW+rVq4fz589b3B8eHo4TJ05YZGs6UiIiIsJsedM6ONt/2coW+LffVv5mrColJSUAgHXr1nG2qD7b8PBwbNy4EXXq1MGPP/5o0V8r42zNVZUtYDnmPvTQQxg9ejT+/PNPtGrVymzZCxcuICQkhMeFSqzle+DAAbzzzjuYN28eXn75ZezcuRNHjhzBtWvXUFZWhiNHjsDf31+a1AZ4zLXGnjG38vYsMjISpaWluHz5stnOK2dryVa2ERER2L17Nxo0aGCWreko1pufw9lasqff/vLLL7hy5QoeeeQRm+vhbC3Zyvatt95Cp06dcOTIEbN+26dPHyxfvhw7duyQdtIAztYaU7bWxtaXX34ZkyZNwu7duxEQEID27dvjueeeA3CjT1fOsbCwEEOGDMHIkSMxcOBAr83RGnv2FcLDwwHc2D+7eR83KysLW7duxWeffQbg3z5qej1bB3M4y5OyBW7kW79+fZw5c8au9pgmR6raXzAdjW00Gu1apyM8KV9H93OPHTsGAIiLi8OLL75okS/33X85mu3N48JTTz0FAHjzzTcBcLaV2ZNtdnY2SktLMWjQILz88svQaDSYM2cOJk2ahCFDhuC+++5DvXr14OPjw9m6SK1atVCvXj2cO3fO4jHT69nzK2UTWSatAaB379545513kJubi4SEhCqXbdasGYgITZo0qTZ4Z1U305+amoq+ffvil19+wYcffojY2Fi0bdvWYrmDBw+CiMzW9+effwIAoqOjAdx4P5cuXTIrrh3RunVrHD582OL+jh07YuPGjRg2bBiWL18uZZuXlyc9XplpHZztv2xla2Lqt9U5ceKEdNQ7Z3tDVdleu3YNRITS0lJkZmaiTZs2NtfD2Vqqrt8C5mOu6aeppiNQTE6cOCH93HfPnj2c7z+s5Wvqh6ZCErjRHyv/e/z48Zg3b550H4+5luwdc03bs0OHDsHX19dikoSztWQr286dO2P9+vXo2rUr1q5dK2V78uRJADd+kVEZZ2vJ3n5bq1Yt9OnTx+ZynK0lW9kWFBRIO3uVx4SysjIAwPXr182W52wtVc7W2n5YUFAQunfvLi2/YcMGNGrUCJ07d8bHH38s5bh582YAN74wcLYtN/PUHK2pbl+hYcOGqF+/Pn799Vd07drVrI+OGzcOXbt2tWjb4cOHYTQapdNAOkJN2QJA9+7dsWbNGhw8eLDa9Zm+3K5qDMjJyYFWq3X4KG4TNeVr735uXl4evv32WwDAkiVLEBMTY3NZ0+vp9Y5PO3ljtqa2VB4XjEYjSkpKrI4LAGdbXbbHjh3D+fPnzdo/adIkAMDKlSuxcuVK7Nixw2yujMfcmrl48SIKCwst9imAG9mGhIRYfcwWWU4PAtz4CUnt2rXx+OOPo6CgwOLxv/76C/PnzwcAPPjgg9DpdJg1a5bF4etEZPGTQGfUrl0bwI2jDK259957ERISgldffRXff/+9zW9DTp48iTVr1kh/FxcX4/3330fHjh0RFhYG4MZ5tXJzc/HNN99YPP/ChQsWhffNEhIS8Mcff0hHm5o89NBDKC8vR2hoqJTtsWPHsGzZMsTHx0s/5zNlu23bNgDgbCuxla3JlClTpJ/13TzhB3C2VbGVbXl5OQYNGoQzZ87A19cX8+fPr3JM4Gwt2cq28k+CTGPuY489hv/+97+oVauW2ZcDf/31F2bOnAkAGDFiBOdbibV827VrhzVr1mDNmjV466234Ovri8jISLRq1QqNGzfGmjVr8NhjjwHgvlsVW33XdBRV5Vrhu+++w//+9z/07NlTKiI5W9tsZWs6v7JWqzWrw959913o9XrceeedADjbqlRXK5j+3zcYDFZPHcTZ2mYr25YtW2LHjh0YMGCAWb9duXIltFqtNGnC2dpWOdvq9sPmz5+PX375BU8//TT69+9vluO2bdug0WiQkJDg9TlaY8++QosWLfDll1/i1ltvlbLdsGED/vzzTwwYMACAeR/dtm2bQzv4lakpW+Df67QsW7as2jmEZs2aAUCVY8C2bdvQtm1bGAyGKttmi5rytafvPvfcc+jVqxeio6Oh0+nw6quvVjm+btu2DYGBgU5N/nlTtvv370dmZiYA87mvvLw87Nq1C126dAHA2VpTXbYPPPAAHn30UWmfTavVIi4uDgAwfPhwrFmzBk2aNOEx1wnXrl2zWufOnj0bRISUlBSLx7Zt21btQcsWqr9WozhffPEF+fr6UlBQEI0fP56WLFlCixYtokceeYQMBgONGjVKWjYzM5MAULdu3ei1116jt99+m6ZMmUItWrSQrvpJ5PxVq0tLSykwMJBatWpF7777Lq1cuZIOHTpktkx6ejoBIJ1ORydPnrRYR1RUFLVs2ZICAwNp6tSp9MYbb1D79u1Jq9XSunXrpOUuX75MnTp1Ir1eT48//ji9/fbblJ2dTWlpaVS7dm06c+ZMlW399ddfCQB98803Fo8NGDCA9Ho9PfDAA+Tj40N6vZ40Gg1NnjzZItvevXtT9+7dOVs7s12wYAHNnj2bUlJSCAD5+PhQQkIC9e3bl7Kzs82yTU9Pp8aNG0tXR+VsbWc7fvx4AkD3338/TZgwgXx8fKh27dqUnJxMjz32mEW/5Wztz7Zfv350991308yZM2nJkiX08MMPk0ajIQB0++23W4y5bdu2pcaNG1NFRQWPC3bkW5lpe6bX6yk4ONjq9ozHXEu2sr3rrrvovvvuo5deeomeeOIJ0ul0BIAMBgO9+OKLnG0N++2jjz5K+OfK3j4+PuTj40MA6N577+VsXTAmLFiwQOqvVdW4nK392X7//fek0+moQYMG9PDDD5v12+7du3O2TmRr2m7VrVuXIiMjqX///vTII49Qs2bNCAA1atSIysrKiMh8P+yWW26hZs2acY412Fd4+OGHqV69etSsWTO6//77pfcVFhZGCxYsMMu2oKCAdDoddevWjbOdPZvGjh1LAEir1VKtWrUoISGB3nzzTbMxoEuXLjR79myKj48nAASAGjduTIMGDTIbA7Kysig4OJimT5/OfdfOvlu7dm3SarWUlZVFAwcOJADUokULGjx4ME2ePNms75aWllJwcDDFxMRwtnZkq9fr6dFHH6XXX3+d+vXrZ9bPZ82axdnWcH7GxLQ9A0C9evWyqAt4zDXP1jTmPvjggzR79myaPXs2XbhwgYiIDh8+TIGBgTR27FiaP38+zZ8/n+677z4CQCkpKVReXm62TlO27777bpXtupmsk9ZERH/++SeNHDmSoqOjyWAwUN26dem2226jBQsW0LVr18yW/fTTT6l79+5Uu3Ztql27NrVu3ZrGjRtH+/fvl5ZxdoNDdKN4a9OmDen1egJAy5YtM3t869atBIB69uxp9flRUVHUq1cv+uabbygmJoaMRiO1bt2aVq9ebbHsxYsXadq0adS8eXMyGAwUEhJC3bp1o+zsbCotLa22rTExMfTYY49Z3H/16lWaNGkShYWFkY+PD9WvX59CQ0Mtsi0oKCCDwSB1GM72X7ayjYqKkga4m2916tSRsr1y5QqFh4fT9OnTiYizrcxatomJiTZzBWDWbzlb26xlu3LlSkpKSqLQ0FDS6/UUFBRE3bp1o549e1qMuW+++SaFhYVJ2RJxvpXZGhcq+/PPPyk8PJx8fHx4zK1htvPnz6e4uDgKDg4mvV5P9evXp+bNm1OjRo04Wxf029LSUpo5cyZFRUWRXq8nf39/Cg4O5mxdNCbceuut1KBBA9q7d6/NGpeztc1Wtnl5eXTvvfdSWFgY6fV6CggIoKCgIM62Btn++eefNGjQIPL19ZXqrlq1atH9999PxcXFZs/99NNPKSEhgQBIbeQcLdtgz77CtWvX6I8//qCePXuSn58f+fn5Uf369cnPz8+ij7799tvk5+dHDz/8MGdrI9vKY8BTTz1lczmtVmuW75IlSwgAHThwgPuuHX135syZVe6z6fV6s7779ddfEwB64IEHONtqsn3jjTdo3LhxFBMTQ/7+/mbzONbGBc723zbYO+ZW9vbbb0tjB4+5jmd7+PBhIiI6f/48DR06lJo3b05+fn5kNBqpbdu29Morr1h9bVO2N9cX1ZF90tqT7Ny5kwDQ+++/b/VxU+dyh/fff5/q1q1L58+fd+r5b7zxBoWHh9OVK1dc2zAnqSnbNWvWUK1atax+ayYHzlYczlYsNeXLY65tnK04nK04nK04nK04npytmnJ0RMeOHenpp58W+hremm3fvn2pX79+wl+H8xWHsxXHW7PlMVccZ7PlSWsHjBs3jurUqUOXLl2y+rg7O1d5eTm1bduWXnrpJYefW1paSpGRkbRo0SIBLXOOWrIlunGE1eTJk13cKudxtuJwtmKpJV8ec6vG2YrD2YrD2YrD2YrjydmqJUdHfP3111S7dm0qKCgQ+jremO2ePXtIp9PRrl27hL4OEecrEmcrjjdmy2OuODXJ1vFLjXqh//u//8OePXvwzjvvID09XTq5upy0Wi3++OMPp57r4+ODY8eOubhFzlFbtgCQm5vrwtY4j7MVh7MVS2358phbNc5WHM5WHM5WHM5WHE/MVm05OiIlJQWXLl0Stn5vzvaWW26p9iJlNcX5isuXs+VsReAxV5yaZMuT1nZ48sknUVBQgPvuuw+zZs2SuzmqwtmKw9mKw9mKxfmKw9mKw9mKw9mKw9mKw9m6BucoDmcrFucrDmcrDmcrDmfrHA0RkdyNYIwxxhhjjDHGGGOMMcYAQCt3AxhjjDHGGGOMMcYYY4wxE560ZowxxhhjjDHGGGPMAy1atAjR0dHw9fVFfHw8tm7danPZJUuW4Pbbb0dQUBCCgoKQlJRU5fKMyYknrZ1UUVGBv//+GxcuXMDff/+NiooKuZukGpytOJytOKZsi4qKUFRUxPm6EGcrDmcrFo+54qglW0d2Mnfv3o3+/fsjOjoaGo0G8+bNq/E6rVFLtkrEY644nK04nK1YPOaK4y3ZfvTRR5g4cSJmzJiB7du3o0OHDkhOTsbp06etLr9p0yYMGTIEGzduRG5uLiIjI9GzZ0+cOHHC7tf0lmzlwGOuOT6ntZP+/vtvREZGSn8fP34cjRo1krFF6sHZisPZinNztgDn6yqcrTicrVg85oqjhmw/+ugjpKamYvHixYiPj8e8efOwevVq7N+/Hw0aNLBY/pdffsHHH3+Mzp07Y8KECXj22Wfx9NNP12id1qghW6XiMVcczlYczlYsHnPF8ZZs4+Pj0bVrVyxcuBDAjUnPyMhIPPnkk5g6dWq1zy8vL0dQUBAWLlyI1NRUu17TW7KVA4+55vhIayfVrVsXALDFp5bZ36zmTFmuatDU7G9Wc6YsX23Z3exvVnOmLCfcNgTHb7qP1Ywpx373T+ZsXcyUY4fUNzhbAUxZbtX7mv3Nas6U5cf1m5j97Unmzp2LkSNHYsSIEWjTpg0WL14MPz8/LF261OryXbt2xZw5czB48GAYjUaXrNMaU5avtehm9jerOVOWz3QbzGOui5lyfKD3M5yti5ly7DhsLmcrgCnLX3QGs79ZzZmy/CQk2uxvNSktLcW2bduQlJQk3afVapGUlITc3Fy71nHlyhWUlZUhODjY7tc1ZZndPMHsb1ZzpiwnJQzkMRc8ae00jUYDAAiqKDf7m9WcKcvAf34EwNm6jilL/5v+ZjVnyrKORsv5upgpx1paHWfrYqYcffU+nK0AXCuIY8oywENrBVfsZIpap5StxvxvVnNcK4hjytFPq+dsXYxrBbFMWQZzreBynl4r2KOwsBDl5eUIDQ01uz80NBT5+fl2rePZZ59FRESEWf1ws5KSEhQXF0u3ixcvAgD8uVZwOVOWdblWAMCT1jXmU35d7iaolk95udxNUC19RZncTVAtHhPEMXC2wnC/FYvHXHE8te+6YifTVeu8eUe0uLgYAKD30Gw9gaf2W0/A2YpjKOdtmUh64n1fUfQVPC7YkpWVhVWrVmHNmjXw9fW1uVxmZiYCAgKkm+n0FTzmisPzYTfwpHUN+cB7T4guGm9cxPHhbIUx8MZFGC6KxPHhHVGh9HI3QMX0xONCTdncEa3g7Zkoes5WGJ5YFYfrMLF4YkYcNdcKISEh0Ol0KCgoMLu/oKAAYWFhVT43OzsbWVlZ+PbbbxETE1PlstOmTZMuDFhUVITjx2+cuILnbMTRca0AgMfGGpt590i5m6Bab9/6kNxNUK1P2veQuwmqtaF5VzzfY6zczVClXeHN8VyPJ+RuhioV1KmHaT05W1G4VhDn7fgBcjfBKTXZyXT1Om3tiK6Osf0zYVYzG5rHca0gyG/hLbhWECSfawWhuFYQ5634gXI3QRiDwYDOnTsjJydHuq+iogI5OTlISEiw+bzXXnsNs2fPxrp169ClS5dqX8doNMLf39/sBgCrY3rW/E0wqza0iOdaATxpXWPrWt0mdxNU68cmneRugmrtiGgtdxNUa3+DJvii7V1yN0OVTvo3wP/a3il3M1Tpom8d/F+bO+VuhmpxrSDOD007y90Epzi7kylinbZ2RLdH3OJUO1j1uFYQ52RAKNcKghTXqsu1gkBcK4jjqbWCvSZOnIglS5bgvffew969ezF27FhcvnwZI0aMAACkpqZi2rRp0vKvvvoqXnjhBSxduhTR0dHIz89Hfn4+Ll265PBrb2vItYIo+7hWAMC/WGWMMcYYY8ztJk6ciLS0NHTp0gVxcXGYN2+exU5mw4YNkZmZCeDGhRb37Nkj/fvEiRPYuXMn6tSpg+bNm9u1TsYYY4ypy6BBg3DmzBlkZGQgPz8fHTt2xLp166RrXBw7dgxa7b/Hq7799tsoLS3FQw+Z/7J9xowZmDlzpjubzli1eNK6hrof3oGP5G6ESiUc/Q2fyN0Ilepwah9OyN0IlWp9+jDqXz6PFXI3RIUiL5xC03Mn8f/kbogK1btyAe3yD3K2gnCtII4n1wqO7mSePHkSsbGx0t/Z2dnIzs5GYmIiNm3aZNc6HdGRawVhWp8+jAaXz+NDuRuiQlwriMO1glhcK4jT7ehvWC13IwRLT09Henq61cdMNYLJkSNHXPa6XCuI07rgEBpcueD1tQKfHqSGstfNl7sJqvXKNwvlboJqPbV5ldxNUK2hO77C219kyd0MVUo6mIdF/3tV7mbUyKJFixAdHQ1fX1/Ex8dj69atNpfdvXs3+vfvj+joaGg0GsybN6/G67SlTcEhLPrfaw4/j9mHawVxstYtkLsJNZKeno6jR4+ipKQEeXl5iI+Plx7btGkTli9fLv0dHR0NIrK43bwzWtU6HTH+J64VRBm2/Uu8xbWCED0OeH6toFTt8g9yrSAQ1wriZH39ptxNUK0JP66Uuwmqlca1AgCetGYKZiS+WqooTfwNcjdBtfjK6uIMjHHu4mRK8dFHH2HixImYMWMGtm/fjg4dOiA5ORmnT5+2uvyVK1fQtGlTZGVl2byImqPrtOWxuAiH3w9jSsBXrRcnyp9/kClK98b+cjdBtQbEOP6rAmafEV25VmCeyYfnFYRpXFcndxNUq1sk1woAT1ozBdNWVMjdBNXyA2+4RUmIrCt3E1Qrso5nT6DMnTsXI0eOxIgRI9CmTRssXrwYfn5+WLp0qdXlu3btijlz5mDw4MEwGo0uWactXcLrOPx+GFMC3lUSxw9ch4lSz6CRuwmq5em1gpJxrcA8FY+44tTiWkGYenycIQCetGbMO13nI9NECfaRuwUqVloqdwucVlpaim3btiEpKUm6T6vVIikpCbm5uW5bZ0lJCYqLi81uAICyMqfawBhTMR4XxPHg7Znicbbi8JjAGLsZjwvi8PYMAE9aM+adeAAUhzfc4nhwvy0sLER5ebnFxdBCQ0ORn5/vtnVmZmYiICBAukVGRt54wIOzZYwJwuOCOFwriFNSIncL1IvHBMbYzXhcEIdrBQA8ac2Yd+KNizicrTi84a6xadOmoaioSLodP378xgPcbxljN+NxQRzOVhyuFcThfssYuxmPueLwmAsA4JN+MeaN+PQg4vDGRRwPzjYkJAQ6nQ4FBQVm9xcUFNi8yKKIdRqNRuvnx+aCkzF2M64VxPHg7ZnicbbicK3AGLsZjwvi8PYMAB9pXWNHn3le7iaoV2am3C1QrxdekLsF6vXUU8Brr8ndCnUaOBCYM0fuVjjFYDCgc+fOyMnJke6rqKhATk4OEhIS5F/n7bcD2dlOtYPZ4eWX5W5BjSxatAjR0dHw9fVFfHw8tm7danPZ3bt3o3///oiOjoZGo8G8efNqvM4qca0gTkaG3C1Qr/HjuVYQZdAgj60VFO+OO7hWEMnDawVFe+UVuVugXjNmyN0C9Xr6aa4VwJPWNRb19Bi5m6BeQ4fK3QL1GjRI7haoV+/ewOjRcrdCnbp3B0aNkrsVTps4cSKWLFmC9957D3v37sXYsWNx+fJljBgxAgCQmpqKadOmScuXlpZi586d2LlzJ0pLS3HixAns3LkTBw8etHuddmvXDhg50iXvk1mRmip3C5z20UcfYeLEiZgxYwa2b9+ODh06IDk5GadPn7a6/JUrV9C0aVNkZWXZPOLf0XVWiWsFcQYPlrsF6nX//VwriHL77R5dKyha+/ZcK4jkwbWC4g0bJncL1GvIELlboF59+nCtAJ60ZkwYRR+Zxhhzu0GDBiE7OxsZGRno2LEjdu7ciXXr1kkXUjx27BhOnTolLX/y5EnExsYiNjYWp06dQnZ2NmJjY/H444/bvU7Gamru3LkYOXIkRowYgTZt2mDx4sXw8/PD0qVLrS7ftWtXzJkzB4MHD7Z+Khon1skYY4wxxhjzPnxO65ravFnuFqjXTz/J3QKnmY4iW7x4MeLj4zFv3jwkJydj//79aNCggcXypiPTBgwYgAkTJrhknVX68Udn3hazR24uUF4udyvU6bffgOJiuVtRI+np6UhPT7f62KZNm8z+jo6OBhHVaJ12O3gQOHmyZutgtnlorVBaWopt27aZ/QJAq9UiKSkJubm5bl1nSUkJSkpKpL+LTWOBB9cKise1gjhcK4izcydw8aLcrVCnAweASl+uMxfz0FrBI3CtIA7XCuL8/DNQUSF3K2THR1rXFP90UhwP/qmJ4o9Me/hhx5/D7PPYY0CvXnK3Qp1mzbpx+hXmev/9742fqzMxPLRWKCwsRHl5ucWR+6GhocjPz3frOjMzMxEQECDdIiMjbzzgwbWC4nGtIM6IEVwriDJzJtcKorz7LtcKInloreARuFYQh2sFcYYP51oBPGnNmMuZjiJLSkqS7nPVkWmuXCcThK/yKw5nKw5f+Zsp3LRp01BUVCTdjh8/LneTGHMeb8/E4WzF4VqBMcbch7dnAPj0IIy5XFVHke3bt8+t67T5c2omDhf04vCGWxzOllkREhICnU6HgoICs/sLCgpsXmRR1DqNRqPNXyIx5nG4VhCHt2ficLaMMeY+XCsA4COtGVM1mz+nZuJU+pKAuRjvLInD/ZZZYTAY0LlzZ+Tk5Ej3VVRUICcnBwkJCYpZJ2Meh8dccbhWEIf7LWOMuQ+PuQB40poxl1PSkWn8c2oZ8M6SOJytOPxNPrNh4sSJWLJkCd577z3s3bsXY8eOxeXLlzFixAgAQGpqqtlFFUtLS7Fz507s3LkTpaWlOHHiBHbu3ImDBw/avU7GVI+3Z+JwtuJwrcAYY+7DYy4APj0IYy5X+Siyfv36Afj3KLL09HS3rpN/Ti2D8nK5W6BevCMqDmfLbBg0aBDOnDmDjIwM5Ofno2PHjli3bp10uqpjx45Bq/33GIiTJ08iNjZW+js7OxvZ2dlITEzEpk2b7FonY6pHJHcL1Iu3Z+JwtowxxtyMJ60ZE2DixIlIS0tDly5dEBcXh3nz5lkcmdawYUNkZmYCuHFk2p49e6R/m45Mq1OnDpo3b27XOhlTPf62WRzeEWVVSE9Pt/kFqWki2iQ6Ohpkx4RcVetkjDGnca0gDtcKjDHG3IxPD1JTzz8vdwvUa/p0uVvgtEGDBiE7OxsZGRno2LEjdu7caXFk2qlTp6TlTUemxcbG4tSpU8jOzkZsbCwef/xxu9fpkBdeqPF7ZDZkZgIzZ8rdCnV65hlg1iy5W6FOqanAiy/K3Qr14lpBHA+uFRSPawVxuFYQZ/Jkj68VFi1ahOjoaPj6+iI+Ph5bt261uezu3bvRv39/REdHQ6PRYN68eTVep01paVwriMS1gjhcK4jDtYI4XCsAUMCktaMb0NWrV6N169bw9fVF+/bt8dVXX5k9Pnz4cGg0GrNbSkqK2TLnzp3DI488An9/fwQGBuKxxx7DpUuXnHsDY8Y49zxWvdGj5W5BjaSnp+Po0aMoKSlBXl4e4uPjpcc2bdqE5cuXS3+bjky7+XbzEWxVrdMho0Y59zxWvSeeACZMkLsV6pSaCjz9tNytUKfevYHx4+VuRY0odicf4FpBJA+vFRSNawVxuFYQx8NrhY8++ggTJ07EjBkzsH37dnTo0AHJyck4ffq01eWvXLmCpk2bIisry+Z1bhxdp0333+/xtYKica0gDtcK4nCtIA7XCgBknrR2dAP6888/Y8iQIXjsscewY8cO9OvXD/369cMff/xhtlxKSgpOnTol3VauXGn2+COPPILdu3dj/fr1+PLLL/HDDz9gFP/PxhhjjHkkRe/kM8YYY3aaO3cuRo4ciREjRqBNmzZYvHgx/Pz8sHTpUqvLd+3aFXPmzMHgwYNtXsfG0XWqmaK/4GaMMWZB1klrRzeg8+fPR0pKCiZPnoxbbrkFs2fPRqdOnbBw4UKz5YxGI8LCwqRbUFCQ9NjevXuxbt06vPvuu4iPj0f37t2xYMECrFq1CidPnnT8TezY4fhzmH22b5e7Beq1bZvcLaiSR/8CIy8P2LnT8eex6m3dqvi+67F+/x349Ve5W+E0xe/kc60gDtcK4vB4K05eHvDbb3K3Qp08uFYoLS3Ftm3bkJSUJN2n1WqRlJSE3Nxc+dfp4bWC4r/g5lpBHK4VxPHQ8dYjcK0AQMZJa2c2oLm5uWbLA0BycrLF8ps2bUKDBg3QqlUrjB07FmfPnjVbR2BgILp06SLdl5SUBK1Wi7y8PMffSJ8+jj+H2advX7lboF79+sndAps8/hcYPXvyuCBKSgpw991yt0KdxowB7rlH7lY4RfE7+QCPCSJxrSCOgmsFj9ezJ/ddUXr29NhaobCwEOXl5RbXqwkNDUV+fr7b1llSUoLi4mKzG4AbpwHw0FoB8IAvuLlWEIfHW3G4VhCHawUAMk5aO7MBzc/Pr3b5lJQUvP/++8jJycGrr76K77//Hvfeey/Ky8uldTRo0MBsHXq9HsHBwVUWAzY33owxl1LFLzB8fBx/DqveP+M4E6C0VO4WOE0pO/kA1wqMMQdwrSAGkdwt8HiZmZkICAiQbpGRkTce8OBaQUlfcHOtwBizm8Egdwtkp3f2iaWlpTh9+jQqKirM7m/cuHGNG1UTgwcPlv7dvn17xMTEoFmzZti0aRPuqcE3w5mZmZjlYVeiVupnpHScm/Nqmp2p+Js2bZp0nz2/wJg4caLZfcnJyfj888/N7jP9AiMoKAh33303XnrpJdSrV09aR1W/wHjggQfsar9EwRsX7t/OUX1uZWWyvbSaslVaraCmbJWGs5WXKvJXaK2gimxlUtPsQkJCoNPpUFBQYHZ/QUGBzdNTiFjntGnTzGrr4uLiGxPXHlwrVPVl9L59+5xqk7PrVFqtYA8eF8ThbMVRRbYKrRXcyeFJ6wMHDuDRRx/Fzz//bHY/EUGj0UhHNFfHmQ1oWFiYwxvxpk2bIiQkBAcPHsQ999yDsLAwi9MMXL9+HefOnatyPTY33grkqs/I23BuznNVds4Uf/b+AuPBBx9EkyZN8Ndff+G5557Dvffei9zcXOh0Oqd+gVFSUoKSkhLpb7OjJBS4ceH+7RyvyU2Go6fkrCdErVMptYLX9FsZcLbyUlX+CqsVVJWtm7kqO4PBgM6dOyMnJwf9/vnJfUVFBXJycpCenu5U25xZp9FotH46DA+uFZREKbWCPdSYv1JwtuKoKlv+VZbjk9bDhw+HXq/Hl19+ifDwcGg0Gqde2JkNaEJCAnJycvD0009L961fvx4JCQk2X+fvv//G2bNnER4eLq3jwoUL2LZtGzp37gwA+O6771BRUYH4+Hib67G58VYgV31GJosWLcKcOXOQn5+PDh06YMGCBYiLi7O67O7du5GRkYFt27bh6NGjeOONN8w+LyVzdW7eROnZifgFRpVHSShw46L0z0ipvCY3GXZE5awnRK1TKbWC1/RbGXC28lJV/gqrFVSVrZu5MruJEyciLS0NXbp0QVxcHObNm4fLly9jxIgRAIDU1FQ0bNgQmZmZAG4cSbhnzx7p3ydOnMDOnTtRp04dNG/e3K512s2DawUlfcGtlFrBHjwuiMPZiqOqbBX2BbcsyEF+fn60d+9eR59m1apVq8hoNNLy5ctpz549NGrUKAoMDKT8/HwiIho2bBhNnTpVWn7z5s2k1+spOzub9u7dSzNmzCAfHx/atWsXERFdvHiRJk2aRLm5uXT48GHasGEDderUiVq0aEHXrl2T1pOSkkKxsbGUl5dHP/30E7Vo0YKGDBniUNuLiooIAB0HCAAVFRW5IBHXcPVnZDAYaOnSpbR7924aOXIkBQYGUkFBgdXlt27dSpMmTaKVK1dSWFgYvfHGGw6/plzZujI3pRKVrauyKykpIZ1OR2vWrDG7PzU1lfr06WP1OZGRkRb9LCMjg2JiYqp8rZCQEFq8eDEREf33v/+lwMBAs8fLyspIp9PRZ599ZvX5165do6KiIul2/PjxG5kCVNS2rarHBXcz9dsigIq0Wh4XXEjK1t+fijx4zHW0nigpKaEdO3bQjh07KDw8nCZNmkQ7duygAwcO2L1Oe/D2TBzOVhxvqXHlYLY9a99eUfmqKlu93qPHhQULFlDjxo3JYDBQXFwcbdmyRXosMTGR0tLSpL8PHz5M+Of/1cq3xMREu9dZHSnbOnU8ulaIi4uj9PR06e/y8nJq2LAhZWZmVvvcqKgoq/u1NVmnCY+54nC24nC24phtz2JiFJevuzl8pHWbNm1QWFjo6NOsGjRoEM6cOYOMjAzk5+ejY8eOWLdunfRT/2PHjkGr/fdakd26dcOKFSswffp0PPfcc2jRogU+//xztGvXDgCg0+nw+++/47333sOFCxcQERGBnj17Yvbs2WbfZn744YdIT0/HPffcA61Wi/79++PNN990yXtSAld+RpUvigcAixcvxtq1a7F06VJMnTrVYvmuXbuia9euAGD1cSVzZW7exlXZedIvMKo8SkKB34iqpn8bDMC1a257OdXkVh0Zjp6Ss544efIkYmNjpb+zs7ORnZ2NxMREbNq0ya51KpnX9FsZcLbyUlX+CqsVVJft9etuezlXZ5eenm6z7jVto0yio6NBdlx8sqp12s3DawVFH8WuUKoaFxSGsxVHVdkq7FdZsnB0ljsnJ4cSEhJo48aNVFhYaHakoTfN/kvfLE2YoLhvPlz1GTlz1Gtltr6RvpmtI1aPT5zo1my9oW9L/faZZ1yarSuz89RfYEjfiD7/PBXNn6/acUEOUrbTp1PRCy/wuOBCUrYzZ1LR1KmcrYvJVSt4VbZcK7icqFrBFTw9f7Na4c03FZWvarKdPp2KMjJ4XHAhKduMDCp69lmPzlZpR7ETece8glzkqhXsoZpsuVZwObNaYcECxeXrbg5PWms0GtJoNKTVas1upvu8hfQ/qemUAArqRK76jE6cOEEA6Oeffza7f/LkyRQXF1ft8+2dtJ4xY4bVgsDd2XpD3xbVb12dnSMFJRHRxx9/TC1btiSDwUBt27altWvXSo9duXKFevbsSfXr1ycfHx+KioqikSNHWvzE/+zZszRkyBCqU6cO+fv704gRI+jixYt2t1nauPyzMVTruCAHObP15NzswdmKJVetwNmKw9nKy9PzV3KtwNk6z9Ozqw5nKxaPueJwtuJwtuIouVaQg8OnB9m4caOjT2Fu5mmfkVKuoOxpuSmJq7Nz5GeRADBgwAAMGDDA6vK1atXCN998U+1rBgcHY8WKFQ6105Nw/3YO5yYOZysOZysOZysvzl8cztZ5nJ04nK28OH9xOFtxOFt1cXjSOjExUUQ7PNf+/XK3wIKrPiMRV1m2xua5gfftc9lr2MOr+vbevS5dnVdlV51du4CgILlbYcGVn9GiRYswZ84c5Ofno0OHDliwYAHi4uKsLrt7925kZGRg27ZtOHr0KN544w2z84875Pffgdq1nW+4E7ymb//2m9vPr+o12QJurxW8KluuFcRxca3gCqrJX4G1gmqy5VpBHK4VxFLxvIKJbPsQbq4V7KGavs21gji7dgHBwXK3QnZ2TVr//vvvaNeuHbRaLX7//fcql42JiXFJwzxGUpLcLQAg5jNy5qJ4LtWjh/CX8Nq+3bNnjVfhtdlVp3t34P775W4FADGf0UcffYSJEydi8eLFiI+Px7x585CcnIz9+/ejQYMGFstfuXIFTZs2xYABAzBhwgSn3ofk9tuBFi1qtg47eGXfvuMOt7yMV2YLuKVW8NpsuVYQxwW1giuIzF+2CZTu3YG+fZ17rgupsm/ffjvQqpXwl1FldtXhWkEsFc8rADLvQ7ihVrCHKvu2F9QKsuneHXjgAblbIT97ziGi0WiooKBA+rfpfDA33zzh/DCuIp3D55/zL8t9jhlRn5GjF8UrKSmhHTt20I4dOyg8PJwmTZpEO3bsoAMHDtj9mu7M1tv6tiuz9bbsqiOdbwqgooceUu24EBcXR+PGjZP+Li8vp4iICMrMzKz2ufae5/5mZtm2a8fjgguZZavTcbYuxtszcThbcbypxjUYDLR06VLavXs3jRw5kgIDA6XXutnWrVtp0qRJtHLlSgoLC6v59mzgQNnzVVPfNss2JobHBRcyy9bHh7N1MW8Zc+Xch1B7tnLgbMUxG3MHDVJEvnKy60jrw4cPo379+tK/mfKI+owGDRqEM2fOICMjA/n5+ejYsSPWrVuH0NBQAMCxY8eg1Wql5U+ePInY2Fjp7+zsbGRnZyMxMdHquYjlxn3beZxdFXx85G4BANd/RqWlpdi2bRumTZsm3afVapGUlITc3Nwar9+kpKQEJSUl0t/FxcX/PuiGn6V6bd82GICrV4W+hNdm6wacrTicrbxE5T937lyMHDkSI0aMAAAsXrwYa9euxdKlSzF16lSL5bt27YquXbsCgNXHHaaAWkG1fdsN2ao2u+oYDEBZmdCX8NpsFUJE/u7ah1A67tviqDZbN5+SSYnsmrSOioqy+m+mHCI/I0cuihcdHQ0icunri8R923mcXRUUsnFx9WdUWFiI8vJy6Usrk9DQUOxz4bniMjMzMWvWLOsPumFH1Gv7thsmrb02WzfgbMXhbOUlIn9v+RK2OiL7tmynXgHckq3XjgsGA3D5stCX8NpsFUJE/u7ah6hyzFUA7tviqDZbBdQKcnP4QowAcODAAWzcuBGnT59GRUWF2WMZGRkuaRirGf6MnMO5OY+zq0ShGxdP+YymTZuGiRMnSn8XFxcjMjLyxh8yZOspudWYDEf9eU22MuBsxeFs5eWK/BXxJawCawVX9W1Zz10LcK0gEtcKXseT8q9yzFUgT8rW07gyW1m/hFXAr7Lk5vCk9ZIlSzB27FiEhIQgLCwMGo1Gekyj0fD/XArAn5FzODfncXY3UeDGxRWfUUhICHQ6HQoKCszuLygoQFhYmMvaajQaYTQarT/o5h1Rr+rbnK1qcLbicLby8rT8q/wSVmG1giuz9bZTr3hav6wRrhW8iqvyd9c+RJVjrsJw3xbHldl645ewiuPoSbAbN25MWVlZAk6v7VmUduL5yjz9M5IrW0/PzR6isvWG7KpjdsGEp59W7bgQFxdH6enp0t/l5eXUsGFD912IMSWFxwUXMss2OpqzdTHenonD2YrjDTVuSUkJ6XQ6WrNmjdn9qamp1KdPn2qf75Lt2cSJispXVdnedx+PCy5klm3Tppyti3nDmEsk7z6E2rOVg7dkK+cFRIsAKpo0SXH5utu/V9Cz0/nz5zFgwABn5sfVafRouVtgQTWfkZuzVU1u9hgzxqWr86rsqjNhAtC9u9ytsOCqz2jixIlYsmQJ3nvvPezduxdjx47F5cuXpaOpUlNTzc4RWlpaip07d2Lnzp0oLS3FiRMnsHPnThw8eNCZFwf69q3xe3CE1/TtZ54B/vkM3cVrsgV4eyYSZyuOi2sFV3BV/gaDAZ07d0ZOTo50X0VFBXJycpCQkFDj9VdrwgTgttvEv44DXJVtVadeyc/Pr/H6TUpKSlBcXGx2A3CjVujTx2WvYw+vGReeeQYYPtytL+k12QKqn1eQdR9C5dkCN05hER0dDV9fX8THx2Pr1q02l929ezf69++P6OhoaDQazJs3z/kXVnGtYLr+RVJSknSfWy8gOmEC0K2b+NdROIcnrQcMGIBvv/1WRFs80/TpcrfAgmo+Izdnq5rc7PH88y5dnVdlV52ZM4EePeRuhQVXfUaDBg1CdnY2MjIy0LFjR+zcuRPr1q2Tdk6PHTuGU6dOScufPHkSsbGxiI2NxalTp5CdnY3Y2Fg8/vjjjr/4jBnAww/X+D04wmv6dkYGUJPzrTnBa7IFeHsmkgqydWRHEwBWr16N1q1bw9fXF+3bt8dXX31l9vjw4cOh0WjMbikpKY43zMW1giu4Mn9ZJ1BmzgQq7QQrgaeNG5mZmQgICJBu0ikAZswAhgxxa1s8LTunZWQA48e79SW9JltA9fMKsu5DqDxb0yksZsyYge3bt6NDhw5ITk7G6dOnrS5vOoVFVlZWzU/PouJaQfYvYWfOBO65x2Wv46nsOqf1m2++Kf27efPmeOGFF7Blyxa0b98ePjedM+ypp55ybQuZXfgzcg7n5jzOTvlEfUbp6elIT0+3+timTZvM/o6OjgYR2d9oBeC+LQ5nKw5nK47IbB09V+LPP/+MIUOGIDMzE71798aKFSvQr18/bN++He3atZOWS0lJwbJly6S/bV4nwAOIyn/QoEE4c+YMMjIykJ+fj44dO1pMoGi1/x7fY5pAMcnOzkZ2djYSExMttn2eQkS23nLuWh5zxeFs5SUyf7XvQ1RHVLayX0dAATx53PC0C4i6m4bsGAmaNGli38o0Ghw6dKjGjfIExcXFCAgIwPEtWxB5660oKiqCv7+/bO1R02ckZfvTT4js3l1otmrKzR5Stj/+iMjbb69Rtt6WXXVM2Rbt2AGEhCAgMpLHBReRst2+HQgKQkCTJjwuuIhZtnXqIKBlS87WhdxZK3htth5eK8THx6Nr165YuHAhgBunqIiMjMSTTz5pdUdy0KBBuHz5Mr788kvpvltvvRUdO3bE4sWLAdw40vrChQv4/PPPHWqLiStrBVdQU982qxXq10dAo0ay5isq2/j4eMTFxWHBggUAbvTrxo0bIz09vdoJkujoaDz99NN42sFf/3CtIA7XCmLxvII4UrabNyPytttUmW1paSn8/PzwySefoF+/ftL9aWlpuHDhAr744osqn1/TMdcddZg9PDnbkpISlJSUSH+bvoRVSq0gN7uOtD58+LDodniue++VuwUAVPoZueG8wKrMzR63317jVXhtdtWJjQWys+VuBQAVfkadOgEjRwp/GdXlZo9OnVwyLlTHK7MFgPvuE/4SXputB9cKpnMlVj4FRXXnSszNzTU7uhQAkpOTLSaoN23ahAYNGiAoKAh33303XnrpJdSrV8/qOq3tLAFwy5hgD1X27dhYYO5cuVshLNuJEyciLS0NXbp0QVxcHObNm2dx6pWGDRsiMzMTwI3/F/bs2SP923TqlTp16qB58+aOvXinTm45f60q+2V1OnUCEhOFv4xXZgsAvXvL3QIAKs1fIdcQEJFtVaew2Ldvn8tex2atoJBrOYnItvL1L0yT1qbrX9j6xYAzjEaj9V/ExcYCNTnfuEo4fE7rF198EVeuXLG4/+rVq3jxxRdd0iiPYjDI3QIL/Bk5h3NzHmd3Ex4XxLnp512iuTo3xZ67FnB7v1VNn7QHZ6sarszWmXMl5ufnV7t8SkoK3n//feTk5ODVV1/F999/j3vvvRfl5eVW12nz3MAKpKq+rbBawZXZynruWsDjawVF42zFUdiYAHhZ/m7madl6a60g6/UvAEWOC25HDtJqtVRQUGBxf2FhIWm1WkdX57GKiooIAB2PjCQAVFRUJHeTJJ7+GUnZAm7N1tNzs4eobL0hu+qYsi0CqOg//+FxwYXMsn36aY8dF1atWkUGg4GWLl1Ku3fvppEjR1JgYKDV9RMRbd68mXQ6Hb322mu0Z88emj59Ovn4+NCuXbukZdLS0iglJYVOnTol3c6dO2d3m8yyTUnx2GyVShpzGzfmbF1MDbXCiRMnCAD9/PPPZvdPnjyZ4uLirD7Hx8eHVqxYYXbfokWLqEGDBjZf56+//iIAtGHDBquPX7t2jYqKiqTb8ePHZcnWHp7et83G3HfeUVS+qsp24kSPHReUyCzb++7jbF1M2p5FRytqTCDy/PzlqhXs4apsS0pKSKfT0Zo1a8zuT01NpT59+lT7/KioKHrjjTeqXc6ba4UFCxZQ48aNyWAwUFxcHG3ZskV6LDExkdLS0qS/Dx8+TPgnk8q3xMREu1/PbMxdskRx+bqbw0daExE0Go3F/b/99huCg4MdXZ3nc/O3zfbgz8g5nJvzOLub8Lggjpu/bXZlbpUvktKmTRssXrwYfn5+WLp0qdXl58+fj5SUFEyePBm33HILZs+ejU6dOknnvjUxGo0ICwuTbkFBQQ61S+LB2Sqe3q6zsbmMV2XrZq7M1pkL1oWFhTl8gbumTZsiJCTE5lE+RqMR/v7+ZjelUlXfVlitoKpseXsmDmcrjptrBXt4Vf5u5qpsK5/CwsR0CouEhASXtBXw7lohPT0dR48eRUlJCfLy8hAfHy89tmnTJixfvlz623QB0ZtvTl+wmY+0tu+c1gAQFBQk/fS4ZcuWZp2gvLwcly5dwpgxY4Q0UtEU1IlU9xlpNIAbrhisutzciLOzgccFcdyUratzU8q5a6tk7VxqAqiuT9qDsxVHpwNsnPbClURk68y5EhMSEpCTk2N2UZ/169dXuWP6999/4+zZswgPD3eofUqiyr7tpnGhOqrM1kNrBY/A2YqjkDEBUGH+Pj5AWZncrQAgJltZryOgIKrrt4CixgW52D1pPW/ePBARHn30UcyaNQsBAQHSYwaDAdHR0S79JsdjKGhySnWfkcEAVDrZvyiqy82NODsbeFwQx03Zujo3Zy6SYu+5ax988EE0adIEf/31F5577jnce++9yM3NhU6ns1inzYuoAG476k91fdIeHtpvTRYtWoQ5c+YgPz8fHTp0wIIFCxAXF2dz+dWrV+OFF17AkSNH0KJFC7z66qu4r9LFKIcPH4733nvP7DnJyclYt26dw22DwQBcver48xwkKltHdzTHjx+PxMREvP766+jVqxdWrVqFX3/9Fe+88w4A4NKlS5g1axb69++PsLAw/PXXX5gyZQqaN2+O5ORkFyQhD1WOGwqpFThb56kyu+pwtuIo6NcXqsvfYFDMpLWIbAcNGoQzZ84gIyMD+fn56Nixo8V1BLTaf0+yYLqOgEl2djays7ORmJjo/BHBCqC6fgsoalyQjaPnE9m0aROVlpY6+jTVkc6P1Lmz4s4x4+mfkZRt3bpuzVZEbgsXLqSoqCgyGo0UFxdHeXl5VS7/8ccfU6tWrchoNFK7du1o7dq1Zo+npaVZnB8pOTnZ7vaIOq+Xp/c5VzA799Tnn/O44EJm2WZleeS4oJRz186YMcPqedaKACoaPtwjs1UyuWoFV2arxHOxE1XKNiDAY7M1ceRciUQ3aoWWLVuSwWCgtm3bmtUKV65coZ49e1L9+vXJx8eHoqKiaOTIkZSfn293e5R8DlBPHzfMtmdffKGofFWV7auvevy4oCRm2T76KGfrYtKY27WrosYEIs/PX8o2MJCzdTGuFcQxG3P/7/8Ul6+72XWkdXFxsXTOmtjYWFy9ehVXbRzVouRz2wjRqxewbZvcrVDnZ/Tww8B//iP0JUTm9tFHH2HixIlYvHgx4uPjMW/ePCQnJ2P//v1o0KCBxfI///wzhgwZgszMTPTu3RsrVqxAv379sH37drRr105aLiUlBcuWLZP+Njrzk5G0NOCmo9wcpco+5wqjRgEKuZqy6j6j0aOB9u2Fv4yI3OQ4d+0999xj8fi0adPMTjlSXFx84+rfo0cDcXFApXOyiaC6Pmmv3r2F1wqisq18LnYAWLx4MdauXYulS5di6tSpFstXPhc7AMyePRvr16/HwoULsXjxYmk507nYa+zhh4G33675eqogut+mp6fbPB2ItSOeBgwYgAEDBlhdvlatWvjmm28cboNVLqgVXEGV44ZCagVVZuvBtYLijR4N3HorYONaHK7ildkCN+YVfvlF7laoM/+HHwbeekvuVqgzW64VxBk1CmjYUO5WyM+eme3KV9/UaDSk1Wotbqb7vYX0zdI/V02V+5sPNX1G7sxWZG5xcXE0btw46e/y8nKKiIigzMxMq8sPHDiQevXqZXZffHw8jR49Wvo7LS2N+vbt63BbTFyZrZr6nCtI34j+c0VlHhdcx93ZisotLi6O0tPTpb/Ly8upYcOGVY4JvXv3NrsvISHBbEy42fHjx0mj0dAXX3xhV5vUkq1Sefr2zJkr0kdGRlpchT4jI4NiYmKkv9PS0iggIIDq169PLVu2pDFjxlBhYWGVbbF51XoPzVbJuMYVR2m1AmfrPDVlVx3OViwec8XhbMXhbMVRWq0gN7uOtP7uu+9QVFSEBg0aYOPGjTWdJ2cC8GfkHFG5ecRF12qI+5zy8WfkHFG58blruU+KJCJbpZyLHQAyMzMxa9asGr4j53C/lRfnLw5n6zzOThzOVl6cvzicrTicrXrZNWmdmJgIrVaLqKgo3HXXXdKtUaNGotunfJUvYiUjVX5G588LfwlRuSllR9/mRdcKC519axJV9jlXKCgAZPgSwRrVfUb5+UBQkPCXEZWboxdJ6datG1asWIHp06fjueeeQ4sWLfD5559LpwvS6XT4/fff8d577+HChQuIiIhAz549MXv2bMdPG3TqFOCGn8qprk/a6+JF4S/hSdkOHjxY+nf79u0RExODZs2aYdOmTVZPawNUcWobD64VFM8FtYIrqDJ/hdQKqszWw2sFReNaQSw31Ar2UGX+bqgV7KHKbLlWEKegAAgJkbsVstNWv8gN3333HdLS0nDo0CGMGjUKUVFRaNGiBUaPHo1Vq1ZZnHfTXosWLUJ0dDR8fX0RHx+PrVu3Vrn86tWr0bp1a/j6+qJ9+/b46quvpMfKysrw7LPPon379qhduzYiIiKQmpqKkydPmq0jOjoaGo3G7JaVleVU+1HpSFq5ifqMZDNwoFtexpNyGzx4MPr06YP27dujX79++PLLL/HLL7/YvMpvZmYmAgICpFuk6fyJnTq5pD2elJ3btGwJHDkidyskqvqMWrUC1q93y0uJyi09PR1Hjx5FSUkJ8vLyEB8fLz22adMmLL/pnNIDBgzA/v37UVJSgj/++AP33Xef9Jjp3LWnT59GaWkpjhw5gnfeecfiyy+7tG7ttnP9eUI9AQDDhw+3qBVSUlKcahuee8655znI1dnKcS52W4xGI/z9/c1uAIBBg+x8NzWjqrHUXl26yN0Cieryb9kSOHpU7lYAUGG2rVoBGza45aW8bnvWujVQ6doEInldtgDw/PPOPU8A1Y0LQ4bI3QKJ6rKNi5O7BRLVZduyJXDsmNytkJ8z5xS5evUq5eTk0AsvvEC33347GY1G0mq11KZNG4fW4+or0l+4cIGSkpLoo48+on379lFubi7FxcVR586dzdYTFRVFL774otlV6y9duuRQ26Vz+PTvr8hzzLjqM5KDlG1MjNuzdVVuos4Dak1ISAgtXrzY6mM2zwFqNLo8W1f2uYULF1JUVBQZjUaKi4ujvLy8Kpf/+OOPqVWrVmQ0Gqldu3a0du1a6bHS0lKaMmUKtWvXjvz8/Cg8PJyGDRtGJ06cMFtHVFQU4Z+rH5tuts41bI3ZVX5//53HBRcyy3b1ao8dF5TILNsXX/TYbF1dTxDdOO9ySkqKWa1w7tw5h9olbc8GDPDYbJV4LnaiStl26OCx2SqVlG2tWrwtczGzMfePPxSXr2qy/eQTjx0XlLg9M8v2pZc4W1G1wsCBihsTiNQxLhzv2JGzdTEp29q1OVsXMxtz9+xRZL7u5NSktUlJSQl99913NHnyZPL393fqolSuvlDdzbZu3UoA6OjRo9J9UVFRFpODjpL+Jx08WNGdqKafkRykbDt3li1bV+SmxB19Kdu6dYVlW9PsPPXLLLONy759PC64kFm2n3/u0eOC0phlm5Xlsdkq8cK3RJXG3Icf9thsV61aRUajkZYvX0579uyhUaNGUWBgIOXn5xMR0bBhw2jq1KnS8ps3bya9Xk/Z2dm0d+9emjFjhtmYfPHiRZo0aRLl5ubS4cOHacOGDdSpUydq0aIFXbt2ze52qaVWUCIp24AA3pa5mNmY++efis3X47P94guPHReUuD0zy/bVVzlbUbXC0KGKHROIPHtcON61K2frYlK2gYGcrYuZjbkHDyo6X3ew+/QgwI2Ly/3www+YNWsW7rrrLgQGBmLMmDE4f/48Fi5ciMOHDzu0rm3btiEpKUm6z54L1VVeHrhxoTpbywNAUVERNBoNAgMDze7PyspCvXr1EBsbizlz5uD69et2t92MweDc8wRx5WckOx8ft72UiNwmTpyIJUuW4L333sPevXsxduxYi4uuVb5Q4/jx47Fu3Tq8/vrr2LdvH2bOnIlff/0V6enpAG5cdG3y5MnYsmULjhw5gpycHPTt29e5i67p7TqdvV1cnd3cuXMxcuRIjBgxAm3atMHixYvh5+eHpUuXWl1+/vz5SElJweTJk3HLLbdg9uzZ6NSpExYuXAgACAgIwPr16zFw4EC0atUKt956KxYuXIht27bh2E0/t6lbty7CwsKkW+3atZ0LhccFcdyYrapys4eHjrki6wnThW9btWqFsWPH4uzZsw68y0o8uN8OGjQI2dnZyMjIQMeOHbFz506Lc7GfOnVKWt50LvZ33nkHHTp0wCeffGL1XOx9+vRBy5Yt8dhjj6Fz58748ccfHT8XOwA48xwned2Y4MJawRVUl78bx9zqqC5bDx0XlLI9KykpQXFxsdnN5FBxmd3vp6bUmG2VFDQmACobF3jfTBzut2IpLF852F2N3n333cjLy0OTJk2QmJiI0aNHY8WKFQgPD3fqhUVdqK6ya9eu4dlnn8WQIUP+PfchgKeeegqdOnVCcHAwfv75Z0ybNg2nTp3C3LlzbbbX5gXtFNSJXP0Zyc5NGxdRuSn6omsuytbV2ZkKysqT+fYUlJUvzgXcKCg///xzm69T1ZdZs2fPRuPGjfHwww9jwoQJ0Duz087jgjgePi4omodmq5QL3wLy1wqi+m16err0BerNrF1TYcCAARgwYIDV5U3nYncZD+23HkFBO/mqzF8h+aoyWw8dc5WyPcvMzMSsWbOsvt7SvL8dfVtOUWu2QBW1gkLGBECF4wLvm4nD/VYsBeUrF7tnY3788UeEh4fj7rvvxp133onExETUU8BVr20pKyvDwIEDQUR4++23zR6rPMEVExMDg8GA0aNHIzMz0+bkn82Nt4IGQE/7jKrlpmxF5qbYHX0XDX6uzs6TvsyyWXACitq48LjgHNXlZg839VtPyXbw4MHSv9u3b4+YmBg0a9YMmzZtwj333GP1OXLXCp6SrUu56Whgr8yWt2ViKSRfztZ5npKdo9uzadOmme0vFxcXSxdzL9XxmFuZJ9YK9vCU/O3G2YrD2YqlkFpBTnafHuTChQt455134Ofnh1dffRURERFo37490tPT8cknn+DMmTMOvbDIK9KbJqyPHj2K9evXm01MWRMfH4/r16/jyJEjNpeZNm0aioqKpNvx48dvPODGn59Vx9Wfkezc9D+o6nKzh4s2Lp6WXXVfZt15552IiYnBmDFj8Prrr2PBggVmE9OVZWZmIiAgQLqZinkAitq4eNpnVC03jbmqy80eHjrmiqwnKmvatClCQkJw8OBBm8vIXStwvxXHK7NV0I6oKvNXSL6qzNZDxwWlbM+MRiP8/f3NbiZlOvf0W7VmC1RRK/D+gzg8ZyMO91txNBrFnapNFs6eDLu4uJi++uormjx5MnXt2pUMBgO1bdvWoXWIuFBdaWkp9evXj9q2bUunT5+2qx3/7//9P9JqtU5dRfn4u+8q9sTorviM5CBl+/LLsmTrqbnZQ8r2ySeFZFvT7EpKSkin09GaNWvM7k9NTaU+ffpYfU5kZKTFhVUzMjIoJibG7D7T2BATE0OFhYXVtuWPP/4gALRv3z6rj1+7do2Kioqk2/Hjx29kOnTovxdP4HHBJaQ8H3mEivbv53HBhaRshw6loo0bPTZbJV74lqjSmPvf/3pstkolZfvKK5yti0nZjh/P2zIXk8bcYcMUWyt4fLaPPCLbRS7Vuj0zZbu0zV3Uc4g8F21Wa7ZElcbcpUsVOSYQef64cDwzk7N1MSnbp5/mbF1M2p6lpiq2VnAnhy7EWFnt2rURHByM4OBgBAUFQa/XY+/evQ6tw9UXqisrK8NDDz2EX3/9FR9++CHKy8uRn5+P/Px8lJaWArhx/tt58+bht99+w6FDh/Dhhx9iwoQJGDp0KIKCghwPwtEL4LmRKz4jWaWmyvKyHp+bPaZMEbLammZnMBjQuXNn5OTkSPdVVFQgJycHCQkJVp+TkJBgtjwArF+/3mx50xHWBw4cwIYNG+z6mdDOnTuh1WrRoEEDq4/bPApl0aJq1y0nj+7fb70FVHF0i0genZs9Fi0COnWS5aWVWE+49MK3ANCzp+PPcQHV91sA227vLcvrekO2mDRJ7hbY5PH5/3OxaCXy9GzXjpmOrZflOYpd7duzGT3HYm9oU4ee4ypqzxYA0KOH489xE08fFzB0qNwtsMnjs33mGblbYJPHZ7tggdwtUAS7jzWvqKjAr7/+ik2bNmHjxo3YvHkzLl++jIYNG+Kuu+7CokWLcNdddzn04q6+UN2JEyfwv//9DwDQsWNHs9fauHEj7rzzThiNRqxatQozZ85ESUkJmjRpggkTJlhcyM0TifiMvAHn5jwR2U2cOBFpaWno0qUL4uLiMG/ePIuCsmHDhsjMzARwo6BMTEzE66+/jl69emHVqlX49ddf8c477wD498us7du348svv5S+zAKA4OBgGAwG5ObmIi8vD3fddRfq1q2L3Nzcmn2ZpSDcv53DuYnjCfWESy9860be2G/HrdjultfxxmyVhPMXR23ZPvvpLre9Fm/PxOFs5aW2cUFJOFtxOFt10hAR2bOgv78/Ll++jLCwMNx111246667cOedd6JZs2ai26hIxcXFCAgIwPHDhxHZpAmKioqqPXe2aGr5jKRs//oLkc2aCc9WLbnZQ8r2wAFEtmhR42xFZbdw4ULMmTNHKijffPNNxMfHAwDuvPNOREdHY/ny5dLyq1evxvTp03HkyBG0aNECr732Gu677z4AwJEjR9CkSROrr2P6Mmv79u144oknsG/fPunLrGHDhmHixIl2F52mbItOngRq177xbx4XXELK9u+/gTp1EBAYyOOCi0jZHj9+o98GB3O2LuTuWsEbs40etQRH3hnJ2bqQq2sFV1BL/kqsFdSWbauxy3HFUAvH5w/iccFFTNm2HrscV32MOPrmEM7WhXheQRx3zyvYQ3XZcq3gckqsFeRk95HWc+bMwV133YWWLVuKbI/n+fhjuVsgUd1n9M+RtKKpLjd7PP64S1YjKrv09HTpp3c327Rpk8V9AwYMwIABA6wuHx0djeq+m+vUqRO2bNnicDut6tIFUNDPjlTVvxs1Av7+2y0vparc7BEZCdx0mh1RvC5bAPjkE7e8jDdmOybvE0x1w+t4Y7YYOVLuFkhUl39cHLB7t9ytAKC+bLe+PRxdnnjfLa+ltuyqk/f2cAwa/AqOuuG1vC1bAMBnn8ndAonq8n/tNblbIFFdtqNGyd0CieqyvfVWYJf7fj2kVHZPWo8ePVpkOzyXgq6WqrrPyE1XVVddbvZwUbZemV11FDQmACr8jNyUr+pyswePueJwvxWmTOueq6p7Y7buGhPsobr8FVQrqC5bANd1PC6Icl2nc8vreGO2POYKxGOuONxvxVFQtnJy+kKM7B/ckcRR0MZFdbjfisPZisX5isNjrjjcb4W57qZJa6/EY4I4PCYIdV3rnolVbzTjQXku2uwVeMwVh8dcYc6V2XW2YeYMHhMA8KR1zXFHEoc3LuJwvxWHsxVHpwO0vNkShvuuOLw9E6bUTUdUeiUeE8ThbIUp0eoAjUbuZqhWTNMQuZugXlwrCPP35XK5m6BaeX9fkrsJ6sW1AgCetK453riIw9mKw9mKwxsXcThbsXhcEIf7rjB8RKVAPCaIw2OCMGU67rdCcd8Vh8dcYT75PV/uJqhWKY+54vCYAIAnrWuOO5Iwxy5dl7sJ6sX9VhzOVhzeURKL8xWHxwVh3HXuWq/E/VYczlYYd53n3mtxrSAOZysM1wriuOs8916JxwQADlyIkdnAHUmYVTv5G1FhuN+Kw9mKwzv5YnHfFWbr3xflboJqlfGOqDg8JghTWEY4dOic3M1QJZ6cEoxrMXE4W2H4FxjilPEv3sThOgwAH2ldY2tPlcndBNU6HhgmdxPUq0MHuVugXomJcrdAvfr0kbsF6vXgg4Cvr9ytUK3s7Tw5JcoxrhXEiYmRuwWq9f+MTfDoe7/I3QxVutwzBUvTusrdDHXiWkGoP0p5YlWUvwNC5W6Cau2r30TuJqjWsXZdUV7BF7rkSesamr2PJ61F+aVRW7mboF4DBsjdAvWaMkXuFqjXG2/I3QL1WrYM8POTuxWqdSwoXO4mqNa2hm3kboJ6PfSQ3C1QrXfjHpS7CaoV/d5/ENc0WO5mqNOyZUCtWnK3QrUe/4G/4BZlW8Nb5G6Caq1rdZvcTVCt+/Rd0fON7+Vuhux40poxL7Qy76jcTWCMMcYYY4wxxhhjVpwuLpG7CbLjk34x5SL+KYQo8zcckLsJ6kUEaDRyt0KV1u78G/X9+WhgIcrLAb6QCvNEXCuIw9mKw7WCOBUVgJaPyxKCs2Weirdn4nC24hCBuFbgI61rKqz4tNxNUK3bjv4mdxNUa+jOr+RugnqNHSt3C1Sr8YD7+RygojRsKHcLVC3sYqHcTVCthGO/y90E9frPf+RugWq9uP5tuZugXklJcrdAta5HNMRWvoCoMA0unZW7Cap16/FdcjdBtQb/tk7uJqjWzA1chwE8aV1j1/lKtMKU8dW/hSnlbMUxGuVugWqV8ngrDvdbofiq9eJwrSDOscvlcjdBtbjfCmQwyN0C1SomHR88IBCPC+JwHSbOA7c2lbsJqsVjwg2cQg2V8c+pheH/ScXhL1vEOVxcijN8FIoQ13lMEMeHxwSRSrVcK4jCdZg4K3ackrsJqsU1rkA8aS0M12FilWk5X1FKuVYQJiosUO4mqBbXCjfwkdY1VKblHX1RyngnXxieQBHn+yNFfBSKILzhFoh38oXivisO12HiXNdwrSAK/3JIIP4SVhjeNxOLawVxrvMXAuLwmCsMf5F1A09a19B1/tZOmGd6tZO7CarFG25xeOMiDp/WRiCetBaqnGsFYSZxrSAMj7nicK0gEG/PhOExQSzePxOH52wE4klrYbhWuIEnrWuIj0IR55bo+nI3QbWu85ESwlzno/6E4fFWIC44hZrer4PcTVCtNtEhcjdBtXgCRZzrWj2C/DhfIXjSWhgeE8Qq1/DUjCilGq5zRfnrQqncTVCtMp0eWo3crZAfj4w1VMGTf+LwJIow/PMzcficaeLwRVQE4p18oZLbhcvdBPXiWkEYrhXEKdPpcOHKdbmboU68PROG6zDBNDw7JQpf/0Kct34+JncTVKtMpweR3K2QH09aM+WqW1fuFqjW6dpBcjdBtQ4HN5S7Car1R1gzuZugXnfcIXcLGHPKbxd44k+UwtqBcjdBtQ4HNQTvhwoSGyt3C1Rra2QbuZvAmFOuGnzlboJqFfK8gjBHgiK4VgBPWjMlq8+nBxFlbyhP/omyocWtcjdBtT7o1FvuJqhXZqbcLWDMKaO/5iN8RNnboKncTVCtnBbxcjdBvZ54Qu4WqFb2HWlyN4Exp5yvFSB3E1Rrf/1ouZugWt81j5O7CYrAk9aMMcYYYwJtO3Je7iYwxhhjjDHGmEfhSWumWIs3/SV3ExhjjLEaG7diu9xNYIwxr7D10DmUV/APqhlj/xp/T3O5m8AYcxJPWjPFWvHjn3I3QbVaFh6Vuwmqdd++H+Vugmqlb14ldxPUa+hQuVvAmFN8KsrkboJqteBaQZh79/0kdxNUa9voyej5xvdyN0OVXv/ydbmbwJhTFq7fL3cTVKv5WT5Nmygp+zfL3QRF4ElrpljXNXyVX1Gua/h/fVEqOFthiLMVh69YzzxUmUYvdxNUi+swccq1nK0oFRoNCopL5G6GKhG4VmCeqZz3IYThOkyc61odj7rgSWumYBVc0AtTpvORuwmqVabjDbcopToeE0T5cv9ZdJz1jdzNYMxx/IWLMI3C+MJVonCtIE4Z1wrCcL9lHotrBWF4zBWnTKdH/bpGuZshO9knrRctWoTo6Gj4+voiPj4eW7durXL51atXo3Xr1vD19UX79u3x1VdfmT1ORMjIyEB4eDhq1aqFpKQkHDhwwGyZc+fO4ZFHHoG/vz8CAwPx2GOP4dKlSy5/b2rh6s/Im8jRv+2h9KLTk8eFEi/5QkCOcaFUBdkqdkzQ+uB6hcNPUxSlZqsGnK1YSs33z/PqP1pVrhq3VOF1mKvIka8a6jCljglch/H2rKZ4XkEcubL1hoPh5KwVTl9Ufy1WLZLRqlWryGAw0NKlS2n37t00cuRICgwMpIKCAqvLb968mXQ6Hb322mu0Z88emj59Ovn4+NCuXbukZbKysiggIIA+//xz+u2336hPnz7UpEkTunr1qrRMSkoKdejQgbZs2UI//vgjNW/enIYMGeJQ24uKiggANRy7nABQUVGRcyEonIjPqDpqyVau/l0VU7YxafMUm62njgumbAc8OJ0in/5Ysfm6grvHBVO2UxOHe3S2Sh4TlrRL4mxdnC2ROrZnnK1YSsz331phvkdnWx05a9z+/V/w6DHXHnLVClPuHOHR2Sp5THinPdcKvD1zHs8riCNntu2Gc61QmSuzffChDI8ec11F1knruLg4GjdunPR3eXk5RUREUGZmptXlBw4cSL169TK7Lz4+nkaPHk1ERBUVFRQWFkZz5syRHr9w4QIZjUZauXIlERHt2bOHANAvv/wiLfP111+TRqOhEydO2N12bxkAXf0Z2UMt2crRv6tjyvaWEQsUm62njgumbPsNmKn6jYu7xwVTts/c/bhHZ6vkMeGtDsmcrYuzJVLH9oyzFUuJ+ZqybT1ioUdnWx05a9w+A2d59JhrD7lqhQn3jPLobJU8JizqmMLZ8vbMaTyvII6c2bZ6dBFnW4krs+09cLZHj7muItvpQUpLS7Ft2zYkJSVJ92m1WiQlJSE3N9fqc3Jzc82WB4Dk5GRp+cOHDyM/P99smYCAAMTHx0vL5ObmIjAwEF26dJGWSUpKglarRV5ensvenxqI+Iy8hVz9215lWmX+LFUN44LaL0Yh57hQ6sHnuVf6mODJP/lVeraejLMVS+n5evK4UB25a1yuFSy5Kt8yrhV4TLBC6dmqndxjrprJna3STztaE7Jnq9A5G3eTLYXCwkKUl5cjNDTU7P7Q0FDs27fP6nPy8/OtLp+fny89brqvqmUaNGhg9rher0dwcLC0jDUlJSUoKfn3fDJFRUUAgIrSqwBunM9KbUR8RtaoMVu5+vfNbGVbWlEGQHnZetK4YCvbszo9KkquAFBevq7gjnHBVrZ/+9b12GyVPibs86/P2dYwW0B92zPOViyl5Gsr27LyUgCemW115K5xz2l1Hjvm2kPeWqGOx2ar9DFhX90Qzpa3Z06Re8zlbM25MtvS68qcV3AFubM9p9V67JjrSrJfiNFTZGZmIiAgQLo1btwYAHDqv2MBABcvXpSzeR6NsxXHVrbHlj0FADh79qyczfNotrLdsnIqTrw9HAD3XWfZynbNl9mcbQ3ZynbxpmVStjwuOI+3Z+JUly33W+fZyvb4sicBcLY1YSvbPK4VasxWtp//3xzOtoZsZfufSrUCZ+s8rhXE4WzFsZXt38vSAXCtUBO2sv1lxbM85kLGSeuQkBDodDoUFBSY3V9QUICwsDCrzwkLC6tyedN/q1vm9OnTZo9fv34d586ds/m6ADBt2jQUFRVJt6NHj0qP7dmzBxEREVW9XY8k4jOyRo3ZytW/b2Yr2z/++AMAEBwc7OA7E8uTxgVb2e7evRuA5/bd6rhjXFBjtkofE44dO4Zjx44BUN64UB2lZAuob3vmCdkqdXtmD6Xkq8ZsqyN3jevJ2zN7cK3gHKWPCZwt1wrOknvMBTjbylyZLdcK5lzdb48dO4bjx4+rsu/aS7ZJa4PBgM6dOyMnJ0e6r6KiAjk5OUhISLD6nISEBLPlAWD9+vXS8k2aNEFYWJjZMsXFxcjLy5OWSUhIwIULF7Bt2zZpme+++w4VFRWIj4+32V6j0Qh/f3/pFhgYKD3WsGFDaLXqO2hdxGdkjRqzlat/38xWtgEBAQCguGw9aVywla2/vz8Az+271XHHuKDGbD1hTFDquFAdpWQLqG975gnZemq/BZSTrxqzrY7cNa4nb8/swbWCc5Q+JnC2XCs4S+4xF+BsK3NltlwrmHN1vw0ICECjRo1Uma/d3H/tx3+tWrWKjEYjLV++nPbs2UOjRo2iwMBAys/PJyKiYcOG0dSpU6XlN2/eTHq9nrKzs2nv3r00Y8YM8vHxoV27dknLZGVlUWBgIH3xxRf0+++/U9++falJkyZ09epVaZmUlBSKjY2lvLw8+umnn6hFixY0ZMgQh9puuqInVH4lTxGfUXXUkq1c/bsqpmyPHz+u2Hw9dVzwhGxdxd3jglqyVfKYUFRUZPZvT6PEbInUsT1TerY8LnhnreAKcta4as+WiGsFZ/GYII4SsyVSR61gD55XEIe3Z+Jwv5WfrJPWREQLFiygxo0bk8FgoLi4ONqyZYv0WGJiIqWlpZkt//HHH1PLli3JYDBQ27Ztae3atWaPV1RU0AsvvEChoaFkNBrpnnvuof3795stc/bsWRoyZAjVqVOH/P39acSIEXTx4kWH2u1NHcnVn1F11JStHP27Kp6ycfHEccFTsnUVd44LaspWqWOCp09aEykvWyL1bM+UnC2PC95bK7iCXDWuN2RLxLWCs3hMEEdp2RKpp1awB88riMPbM3G438pL9klrT3Xt2jV6/vnn6fnnn6dr167J3RxV4WzFuXbtGs2YMYOKiopoxowZnK8LcbbicLbimLK9du2a2b+Za/D2TBweF8ThbMXhbMXhbMXhbMXiWkEczlYcHhfE4X5rTkNEVPOTjDDGGGOMMcYYY4wxxhhjNefFZ/NmjDHGGGOMMcYYY4wxpjQ8ac0YY4wxxhhjjDHGGGNMMXjSmjHGGGOMMcYYY4wxxphi8KT1PxYtWoTo6Gj4+PjAaDTCaDQiPj4eW7dutbr86tWr0bp1a2l5g8GA9u3b46uvvgIAEBEyMjJQq1YtaDQas1tKSoo735oiLVq0CPXq1YNGo4FWq0W7du1sZg0Ac+fORd26daUMR40a5cbWehZn+nKTJk2g0+lgMBig0Wgwb9489zZaoRztp6tXr0bDhg2h1Wqh1WoRHR0tjQnAjXGhQ4cOPCZYwf1WHFO2vr6+iI6ORkREBHx9fW3ma9q+GQwGBAQEIDQ0lPOtAm/PxOFxQRzOVhweE8ThbMXhMUEs7rvicLbiODMuhIWFQavVQqfToU6dOkhKSqry8/BW3G8dIO91IJVh1apVZDAYaMyYMeTj40N33HEH1a1bl4YOHUqBgYFUUFBgtvzmzZtJp9PRE088QTqdju655x7S6/U0atQo8vHxoV27dlFWVhYFBATQXXfdRbfddhv17NmTIiMj6fDhw3Tu3DmZ3qkyrFq1inQ6Hen1enrppZfooYceIoPBQAEBARZZE93IW6vV0h133EHZ2dlUp04d0mq1tGvXLhlar2zO9uUnn3ySRowYQQ888AABoClTpsj0DpTD2X6q1WrpmWeeoTFjxpBWqyW9Xi/11aysLPLx8aFOnTpRTk6ONC6cPHnS3W9PUbjfimPKdunSpZSdnU1arZZq1apFP/zwA40cOdIiX1O2r732Gn300Ud06623kk6no5CQEHrjjTfkeyMKxdszcXhcEIezFYfHBHE4W3F4TBCL+644nK04zo4LHTt2pBdeeIEef/xx0uv11LdvXwoICKC///5bpneiPNxvHcOT1kQUFxdH48aNk/5bXl5OERER9PLLL1NERARlZmaaLT9w4EDq1auX9F8iovj4eBo9ejTFx8fTqFGjKCwsjObMmUNpaWnUt29funDhAhmNRlq5cqUcb1FR4uLiqEGDBjRu3DgiIiovL6fw8HDy9/e3yJqIzHImIoqKiqLGjRvT6NGj3dZmT+FsX67MYDBQQkKCO5utSM700/DwcLM84+PjqUGDBjR69GiqqKigsLAw6ty5M/Xt25eIiMeFf3C/FceUqenfTzzxhJSpKefK+VrLNj4+nurUqcOT1lbw9kwcHhfE4WzF4TFBHM5WHB4TxOK+Kw5nK44rxoX4+HgaOXIk1a1bl9577z13Nl/RuN86xutPD1JaWopt27YhMTER27ZtQ1JSErRaLZKSkpCXl4ekpCTk5uaaPSc3N1e6PykpCQCQnJyM3NxcJCcn44cffkB+fr702KZNm9CiRQtotVq88sorOHv2rNvfp1KUlpbi119/RWFhoZSPVqtFjx494O/vb5E1ALOcTVq3bm11WW9Wk75cWa1atXDkyBE3tlx5nO2nV69eNcszOTlZeuzw4cPIz89HREQENm3ahAYNGiAuLg7BwcH47rvv3PPGFIj7rTimbJOSkqR/9+jRQ8rUlHPlfK1lm5ycjJKSEnc3X/F4eyYOjwvicLbi8JggDmcrDo8JYnHfFYezFcdV40JycjJ+/vlnlJWVITg42J1vQbG43zrO6yetCwsLUV5eDqPRiPLycoSGhgIAQkNDkZ+fL/23ssr3W1u+oKBAui8lJQXvv/8+cnJyEBsbi6NHj+Lee+9FeXm5e9+oQhQWFqKiogIVFRVSdsCNrK5fv26RNQCznE3q1q1rdVlvVpO+XJlOp8PFixfd1m4lcrafXrx40WL5K1euID8/X3rOvffeK40Jr776Ki5duoRPP/3Uq8cE7rdimLINDQ01+3flTG/O11q2oaGhXts/q8LbM3F4XBCHsxWHxwRxOFtxeEwQi/uuOJytOK4aF0JDQ3Ho0CFERERYTLp6K+63jtPL3QC1Gzx4sPTvhg0bIjAwEF999RU2bdqEe+65R8aWMcbk0K9fP4SHhwMA2rdvj+7du+Prr7/mMYExxhhjjDHGmCp8++23uHbtGtasWQNfX1+5m8M8lNcfaR0SEgKdToeSkhLodDrpKOmCggKEhYVJ/62s8v3Wljd9C2J6zKSgoADNmzdHSEgIDh486IZ3pzwhISHQarXQarVm+RQUFECv11tkDcAsZ5OLFy9aXdab1aQvV1ZeXo66deu6rd1K5Gw/rVu3rsXyfn5+CAsLk55zc96XL1+Gr6+vV48J3G/FMGVbUFBg9u/Kmd6cr7VsCwoKoNPp3Np2T8DbM3F4XBCHsxWHxwRxOFtxeEwQi/uuOJytOK4YF7Kzs7Fu3To0a9YMMTExbm2/knG/dZzXT1obDAZ07twZP/zwAzp37oycnBxUVFQgJycH8fHxyMnJQUJCgtlzEhISpPtzcnIAAOvXr0dCQgLWr1+PO+64A2FhYdJjAFBcXIy8vDy0bNkSZ8+elY609DYGgwFdunRB/fr1pXwqKiqwYcMGFBcXW2QNwCxnkz///NPqst6sJn25smvXriE6OtqNLVceZ/tprVq1zPJcv349NBoNEhIS0KRJE6vjwpYtW1BSUuLVYwL3WzFM2ebk5Ej/3rBhg5SpKefK+VrLdv369TAaje5uvuLx9kwcHhfE4WzF4TFBHM5WHB4TxOK+Kw5nK05Nx4XXXnsNs2fPRosWLfiXxDfhfusEua8EqQSrVq0io9FIY8eOJYPBQHfeeSfVrVuXhg0bRoGBgfTQQw/R1KlTadiwYTR16lTavHkz6fV6Sk9PJ71eTz169CC9Xk9jx44lHx8f2rVrF2VlZVFAQAD169ePPvjgA+rRoweFhYVRbGwstWjRgq5duyb325bNqlWrSK/Xk16vp1deeYUGDBhABoOBAgICKD8/n4YNG0Zt27alqVOnEhHR5s2bSafT0YQJE+izzz6jOnXqkFarpdWrV9OBAwdkfjfK4mxfzsrKos8++4xGjx5NAGj48OG0Y8cOr87X2X6q1WppypQpNG7cONJqtaTX62nXrl1ERDRr1iwyGo302muv0ddff03dunUjg8FAzZs39/oxgfutGKZsly9fTq+//jrpdDry8/OjH374gUaNGkUGg4GefPJJIiIaNmwYDR06lPR6PWVnZ9Nvv/1Go0ePJr1eT/Xr16dJkyZxvjfh7Zk4PC6Iw9mKw2OCOJytODwmiMV9VxzOVhxnx4X77ruPfHx8aMCAAaTX62njxo106tQpunjxotxvSTG43zqGJ63/sWDBAmrcuDHpdDoyGAzk4+NDcXFxtGXLFkpMTKS0tDTpv0REH3/8MbVs2ZL0ej0ZDAbS6/XUtm1bWrt2LRERVVRU0NSpU8lgMBAA0mg01LBhQxo5ciTl5+fL+E6VYcGCBRQUFCRl06ZNG9qyZQsRESUmJlJoaKiUNRHRwoULCYDFLTExUZ43oGDO9OUmTZpwvlY42k8//vhjCg8Pl5aPioqSxgQiosuXL1PTpk1Jo9EQAPL19aWBAwfymEDcb0UyZWswGCgqKorCwsLIYDBQXFwcxcbGSpma8jVt33x8fDhfO/D2TBweF8ThbMXhMUEczlYcHhPE4r4rDmcrjjPjgl6vt5rvjBkzZH0vSsP91n4aIiJHjsxmjDHGGGOMMcYYY4wxxkTx+nNaM8YYY4wxxhhjjDHGGFMOnrRmjDHGGGOMMcYYY4wxphg8ac0YY4wxxhhjjDHGGGNMMXjSmjHGGGOMMcYYY4wxxphi8KQ1Y4wxxhhjjDHGGGOMMcXgSWvGGGOMMcYYY4wxxhhjisGT1owxxhhjjDHGGGOMMcYUgyetGWOMMcYYY4wxxhhjjCkGT1oLMnPmTHTs2LHKZYYPH45+/fq5pT1qwtmKw9mKw9mKxfmKw9mKw9mKw9mKw9mKw9mKxfmKw9mKw9mKw9mKw9mK423Zqn7S+vjx43j00UcREREBg8GAqKgojB8/HmfPnrV7HUeOHIFGo8HOnTvtfs6kSZOQk5PjRIs9B2crDmcrDmcrFucrDmcrDmcrDmcrDmcrDmcrFucrDmcrDmcrDmcrDmcrDmfrHqqetD506BC6dOmCAwcOYOXKlTh48CAWL16MnJwcJCQk4Ny5c8Jeu06dOqhXr56w9cuNsxWHsxWHsxWL8xWHsxWHsxWHsxWHsxWHsxWL8xWHsxWHsxWHsxWHsxWHs3UjUrGUlBRq1KgRXblyxez+U6dOkZ+fH40ZM4aIiADQmjVrzJYJCAigZcuWSY9XviUmJhIR0caNG6lr167k5+dHAQEB1K1bNzpy5AgREc2YMYM6dOggre/69es0YcIECggIoODgYJo8eTKlpqZS3759pWXKy8vplVdeoejoaPL19aWYmBhavXq1SzNxFc5WHM5WHM5WLM5XHM5WHM5WHM5WHM5WHM5WLM5XHM5WHM5WHM5WHM5WHM7WfVR7pPW5c+fwzTff4IknnkCtWrXMHgsLC8MjjzyCjz76CERU7bq2bt0KANiwYQNOnTqFzz77DNevX0e/fv2QmJiI33//Hbm5uRg1ahQ0Go3Vdbz++utYvnw5li5dip9++gnnzp3DmjVrzJbJzMzE+++/j8WLF2P37t2YMGEChg4diu+//97JFMTgbMXhbMXhbMXifMXhbMXhbMXhbMXhbMXhbMXifMXhbMXhbMXhbMXhbMXhbN1LL3cDRDlw4ACICLfccovVx2+55RacP38eZ86cqXZd9evXBwDUq1cPYWFhAG501KKiIvTu3RvNmjWT1mnLvHnzMG3aNDz44IMAgMWLF+Obb76RHi8pKcErr7yCDRs2ICEhAQDQtGlT/PTTT/jPf/6DxMREO961e3C24nC24nC2YnG+4nC24nC24nC24nC24nC2YnG+4nC24nC24nC24nC24nC27qXaSWsTe77dcEZwcDCGDx+O5ORk9OjRA0lJSRg4cCDCw8Mtli0qKsKpU6cQHx8v3afX69GlSxepfQcPHsSVK1fQo0cPs+eWlpYiNjZWyHuoKc5WHM5WHM5WLM5XHM5WHM5WHM5WHM5WHM5WLM5XHM5WHM5WHM5WHM5WHM7WPVR7epDmzZtDo9Fg7969Vh/fu3cvgoKCUL9+fWg0GosOV1ZWVu1rLFu2DLm5uejWrRs++ugjtGzZElu2bHGqvZcuXQIArF27Fjt37pRue/bswSeffOLUOkXhbMXhbMXhbMXifMXhbMXhbMXhbMXhbMXhbMXifMXhbMXhbMXhbMXhbMXhbN1LtZPW9erVQ48ePfDWW2/h6tWrZo/l5+fjww8/xKBBg6DRaFC/fn2cOnVKevzAgQO4cuWK9LfBYAAAlJeXW7xObGwspk2bhp9//hnt2rXDihUrLJYJCAhAeHg48vLypPuuX7+Obdu2SX+3adMGRqMRx44dQ/Pmzc1ukZGRzgchAGcrDmcrDmcrFucrDmcrDmcrDmcrDmcrDmcrFucrDmcrDmcrDmcrDmcrDmfrXqo+PcjChQvRrVs3JCcn46WXXkKTJk2we/duTJ48GQ0bNsTLL78MALj77ruxcOFCJCQkoLy8HM8++yx8fHyk9TRo0AC1atXCunXr0KhRI/j6+uLcuXN455130KdPH0RERGD//v04cOAAUlNTrbZl/PjxyMrKQosWLdC6dWvMnTsXFy5ckB6vW7cuJk2ahAkTJqCiogLdu3dHUVERNm/eDH9/f6SlpQnNylGcrTicrTicrVicrzicrTicrTicrTicrTicrVicrzicrTicrTicrTicrTicrRuRyh05coTS0tIoNDSUfHx8KDIykp588kkqLCyUljlx4gT17NmTateuTS1atKCvvvqKAgICaNmyZdIyS5YsocjISNJqtZSYmEj5+fnUr18/Cg8PJ4PBQFFRUZSRkUHl5eVERDRjxgzq0KGD9PyysjIaP348+fv7U2BgIE2cOJFSU1Opb9++0jIVFRU0b948atWqFfn4+FD9+vUpOTmZvv/+e9ExOYWzFYezFYezFYvzFYezFYezFYezFYezFYezFYvzFYezFYezFYezFYezFYezdQ8NkaCzhzPGGGOMMcYYY4wxxhhjDlLtOa0ZY4wxxhhjjDHGGGOMeR6etGaMMcYYY4wxxhhjjDGmGDxpzRhjjDHGGGOMMcYYY0wxeNKaMcYYY4wxxhhjjDHGmGLwpDVjjDHGGGOMMcYYY4wxxeBJa8YYY4wxxhhjjDHGGGOKwZPWjDHGGGOMMcYYY4wxxhSDJ60ZY4wxxhhjjDHGGGOMKQZPWjPGGGOMMcYYY4wxxhhTDJ60ZowxxhhjjDHGGGOMMaYYPGnNGGOMMcYYY4wxxhhjTDF40poxxhhjjDHGGGOMMcaYYvx/bzxgvFZi/iEAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_w4_ism = pd.DataFrame(w4_ism)\n", + "df_w4_ism['list_cell_codes'] = list_cell_codes\n", + "specificity, df_means_within_outside = specificity_score(df_w4_ism)\n", + "print(specificity)\n", + "specificity_plot(df_means_within_outside)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/federated_nmf_ilsm.ipynb b/examples/federated_nmf_ilsm.ipynb new file mode 100644 index 0000000..a1b286c --- /dev/null +++ b/examples/federated_nmf_ilsm.ipynb @@ -0,0 +1,282 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n" + ] + } + ], + "source": [ + "import numpy as np # type: ignore\n", + "import pandas as pd # type: ignore\n", + "import matplotlib.pyplot as plt # type: ignore\n", + "import adilsm.adilsm as ilsm\n", + "from adnmtf import NMF # type: ignore\n", + "from sklearn.linear_model import LinearRegression\n", + "import time\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'\n", + "\n", + "df = pd.read_csv(DATA_PATH + 'ALL-AML Brunet.csv')\n", + "\n", + "# for Brunet only:\n", + "m0 = np.log2(df.values[:,2:].astype(np.float_))\n", + "(n,p) = np.shape(m0)\n", + "m0-=np.repeat(np.min(m0, axis=0)[:,np.newaxis].T, n, axis=0)\n", + "\n", + "m0 = np.random.permutation(m0.T).T\n", + "\n", + "# Enlarge matrix to better compare performance\n", + "m0 = np.vstack((m0, m0))\n", + "m0 = np.hstack((m0, m0))\n", + "\n", + "(n,p) = np.shape(m0)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "n_slices = 10\n", + "n_comp = 4\n", + "p_slice = int(p/n_slices)\n", + "Xs=[m0[:,i*p_slice:(i+1)*p_slice] for i in range(n_slices)]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Perform standard NMF on whole matrix for comparison with ilsm\n", + "my_nmfmodel = NMF(n_components=n_comp, leverage=None, max_iter=200, tol=1.e-6, verbose=-1, random_state=0)\n", + "\n", + "start_time = time.time()\n", + "estimator_ = my_nmfmodel.fit_transform(m0.copy())\n", + "\n", + "w_nmf = estimator_.w\n", + "h_nmf = estimator_.h\n", + "end_time = time.time()\n", + "execution_time_nmf = end_time - start_time" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.17\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "error ism after straightening: 0.17\n", + "error ilsm: 0.41\n", + "error(fnmf): 0.41\n", + "time(fnmf): 3.3835\n", + "error(nmf): 0.4\n", + "time(nmf): 4.8886\n" + ] + } + ], + "source": [ + "# Perform ILSM on matrix slices\n", + "n_embedding, n_themes = [n_comp,n_comp]\n", + "\n", + "start_time = time.time()\n", + "ilsm_result = ilsm.ilsm(Xs, n_embedding, n_themes, norm_columns=0, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8, use_scikit_NMF=False)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii = ilsm_result['HHII']\n", + "w_ism = ilsm_result['W']\n", + "h_ism = ilsm_result['H']\n", + "q_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h_fnmf = np.empty((0, n_comp))\n", + "for i in range(n_slices):\n", + " h_fnmf = np.vstack((h_fnmf, hv[i]))\n", + "\n", + "# normalize w_ism and h_fnmf by max column in w_ism as in w_nmf\n", + "max_values = np.max(w_ism, axis=0)\n", + "w_fnmf = np.divide(w_ism, np.where(max_values == 0, 1, max_values))\n", + "h_fnmf = np.multiply(h_fnmf, max_values)\n", + "\n", + "end_time = time.time()\n", + "execution_time_fnmf = (end_time - start_time)\n", + "\n", + "# Calculate error\n", + "error = np.linalg.norm(m0 - w_fnmf @ h_fnmf.T) / np.linalg.norm(m0)\n", + "print('error(fnmf): ',round(error, 2))\n", + "print('time(fnmf): ',round(execution_time_fnmf, 4))\n", + "\n", + "error = np.linalg.norm(m0 - w_nmf @ h_nmf.T) / np.linalg.norm(m0)\n", + "print('error(nmf): ',round(error, 2))\n", + "print('time(nmf): ',round(execution_time_nmf, 4))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.03\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "error ism after straightening: 0.03\n" + ] + }, + { + "data": { + 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1atWMzWYzL730kmP6uXPnTJkyZUxCQkK2x8rLAX7t2rVGUo4hIWuZd+3aZSSZoUOHOt3+5JNPGklm7dq1jmmFDfOSzJIlSxzTDhw4YCQZHx8fpxe8q1atyvYiImu9Pfzww06Pddddd5lKlSo5rk+fPt1IMmfOnHG9YnKQn/UQFRVlJJkNGzY4pp0+fdrY7XYzbty4Gz7W9dsvMTHRhISEGEmmfv36Zvjw4WbJkiXm/Pnz2ea9dv+79957Tbdu3YwxxmRkZJiwsDAzadKkPId5d+8fWetl06ZNjmlZ27JMmTLm2LFjjulvvPFGjscpSWbUqFFOdfTu3dv4+fk5tml+jhl5fV4OGTLEhIeHOwV8Y4x54IEHTHBwsLl48aIx5n/7doMGDUx6erpj3Ouvv54tYPTu3dvpGJmlb9++eTqOwTvQ32+e/p7XY3vWPtGjRw+n+4+NjTU2m80MHz7cMS2rv1/bO7Me69ow6MqPP/5ofHx8zF133ZVt38l67NOnTxs/Pz/TvXt3pzGzZs0yksyCBQsc0wob5iWZF1980TEt63WKzWYzS5cudUzP6u8TJkxwTMtab3FxcU7r7YknnjC+vr6OnrdixYobPudykp/1kPWa5J133nFMS09PN2FhYeaee+654WNdv/0uXrxooqOjHc+dQYMGmbfeesskJSVlmzfr9cyZM2fMk08+aerUqeO4rVWrVmbw4MHGmLy91nP3/uGu12p33nmnUy1//OMfjSTz3XffGWOK5jXXlClTTNmyZc0PP/zgdJ/PPPOM8fX1NcePHzfG5O8YOWLECCNlj8kFPSYWJT5mX8QyMjL0+eefKz4+XrVq1XJMDw8P14ABA/T1118rJSVF0tXvw/r4+Djm+/XXXx0fFd6xY4dj3k8++UTh4eG69957HdMCAgL0yCOP5Lmufv36qUKFCo7rt956qyTpyJEjkqSff/5Ze/bs0cCBA51+gKtTp05q0qSJ032VL19eaWlpWr16dZ4fP2s5fH199fjjjztNHzdunIwx+vTTT/N1f5IUEhKi+vXra8OGDZKkjRs3ytfXV0899ZSSkpL0448/SpK++uordejQ4YYfVc+ruLg41a5d23G9adOmCgoKcqzPaw0dOtTxf19fX7Vs2VLGGA0ZMsQxvXz58oqOjs5x/rx4//33ZbPZcvyBnaxl/uSTTyRd/ejitcaNGydJ+vjjjwv02DkJDAzUAw884LgeHR2t8uXLq0GDBmrTpo1jetb/c1ru4cOHO12/9dZb9euvvzqeP1nfuVy5cmW+fhQqv+uhYcOGjueLdHWfK+i2Cg0N1Xfffafhw4fr3LlzmjdvngYMGKAqVapoypQp2T46nmXAgAFat26d42N5iYmJ+fpoXlHsHw0bNlRsbKzjeta27Nq1q6pXr55tek7r69pf7836mPylS5ccH+fL7zHjRs9LY4zef/999enTR8YY/fLLL45Ljx49lJyc7HTslaTBgwc7/ZbB9cfO3JQvX17//e9/c/zIM6yH/u6aFft7fo7tQ4YMcbr/Nm3aZOvjWf29oH38ww8/VGZmpp5//nnHvpMl67G/+OILXbp0SWPGjHEaM2zYMAUFBbm1j0vOr1+yXqeULVvW6Tdcsvp7Tsv9yCOPOK23W2+9VRkZGTp27JjjPiXpo48+0uXLl/NcV37XQ2BgoB588EHHdT8/P7Vu3bpA26pMmTL69ttv9dRTT0m6+pWCIUOGKDw8XKNGjXL5tcUBAwbo0KFD2rp1q+Pf/PTxotg/3PFabcSIEU7XR40aJel/rymK4jXXsmXLdOutt6pChQpOfTwuLk4ZGRmOY0aWGx0jc1PQY2JRIswXsTNnzujixYuKjo7OdluDBg2UmZnpOD1FZmampk+frrp168put6ty5coKCQnR7t27lZyc7Jjv2LFjqlOnTrZGldNjuHLti2tJjp363LlzjseQpDp16mSb9/ppf/zjH1WvXj316tVL1apV08MPP5zj91Kvd+zYMUVERKhcuXJO0xs0aOBUQ37deuut+uqrryRdbeotW7ZUy5YtVbFiRX311VdKSUnRd99953RwKKzr16d0dZ1mrc/cxgYHB8vf31+VK1fONj2n+fPi8OHDioiIUMWKFV2OOXbsmHx8fLJtz7CwMJUvX77A6z8n1apVy7a/BgcHKzIyMts0SXlab9fvs/369VP79u01dOhQhYaG6oEHHtC//vWvGwb7/K6H/GzrvAgPD9fcuXN16tQpHTx4UH/7298UEhKi559/Xm+99VaO89x+++0qV66c3nvvPb377rtq1apVjs9VV4pi/8hpv5aU523s4+PjFIgkqV69epLk+E5pfo8ZN9pWZ86c0fnz5zV//nyFhIQ4XQYPHizp6o9V5Xaf1++HufnTn/6kwMBAtW7dWnXr1tWIESO0cePGG84H70R/d82K/b2wfVzK+XhXmD7u4+OT64/lZa3H6/cPPz8/1apVy619POu3Va4VHBzssr8XpI936tRJ99xzjyZNmqTKlSurb9++Wrhw4Q1/xye/6yGnmgvTx4ODg/XXv/5VP/30k3766Se99dZbio6O1qxZszRlypQc52nevLnq16+vJUuW6N1331VYWJi6du2a58csiv3DHa/V6tat63S9du3a8vHxcerj7n7N9eOPP+qzzz7L1sfj4uIkubePF/SYWJQI817kxRdf1NixY9WxY0f94x//0KpVq7R69Wo1atTI7aef8fX1zXG6q3cCc1OlShXt2rVL//73v3XnnXfqyy+/VK9evZSQkFDYMgukQ4cOOnnypI4cOaKvvvpKt956q2w2mzp06KCvvvpKmzZtUmZmplvDfH7WZ05j3bk98qsgn05wNU9GRkaO010tX2HX27Vjy5Qpow0bNuiLL77QQw89pN27d6tfv3667bbbXNZ1rbyuh6LaVjabTfXq1dOoUaO0YcMG+fj46N13381xrN1u19133623335bK1asyPcP5uS3rrxwxzZ2txs9dtZx9cEHH9Tq1atzvFz/o0aFWZ4GDRro4MGDWrp0qTp06KD3339fHTp04BRVNwH6u3sUZX93Rz/KaXpxHOsKwhv7uM1m0/Lly7V582aNHDnS8eOkLVq0UGpqao7zFkRR9qWoqCg9/PDD2rhxo8qXL++yj0tX351/7733tGTJEvXr1y/bO+zFrSj6uKv9zJ2vuTIzM3Xbbbe57OP33HNPvu/TFW87JkqE+SIXEhKigIAAHTx4MNttBw4ckI+Pj+MvXsuXL1eXLl301ltv6YEHHlD37t0VFxeX7Rcno6KidPjw4Ww7XU6PUVBRUVGS5PQrzVlymubn56c+ffpozpw5Onz4sB599FG98847OY699jF+/vlnXbhwwWl61q97ZtWQX1lNfPXq1dq6davjeseOHfXVV1/pq6++UtmyZdWiRYsC3b8V1K5dWz///LPOnj3rckxUVJQyMzMdH03MkpSUpPPnz+e6/rP+inn9vunOdwEKwsfHR926ddNrr72m77//Xi+88ILWrl2rL7/80uU8hVkPRaVWrVqqUKGCTp065XLMgAEDtHPnTl24cMHpY3F5UdT7R0FkZmZm+4jbDz/8IEmOX9d29zEjJCRE5cqVU0ZGhuLi4nK8VKlSJd/LktuLlLJly6pfv35auHChjh8/rt69e+uFF17I9mu/8H70d/p7Uapdu7YyMzP1/fffuxyTtR6v3z8uXbqko0ePWrKPS1Lbtm31wgsvaNu2bXr33Xe1b98+LV261OX4wqyHolKhQgXVrl37hn381KlT+uGHH/L9R/mi3j8K6vrXDIcOHVJmZqZTH3f3a4vatWsrNTXVZR/P6d39G8mtjxfkmFiUCPNFzNfXV927d9fKlSudTj+SlJSkJUuWqEOHDo7TVvj6+mZr4MuWLdPJkyedpt1+++36+eefHaeLkKSLFy9q/vz5bqs7IiJCjRs31jvvvOP019D169drz549TmN//fVXp+s+Pj5q2rSpJOX60ajbb79dGRkZmjVrltP06dOny2azqVevXgWqvWbNmqpataqmT5+uy5cvO95Zu/XWW3X48GEtX75cbdu2ValSpQp0/1Zwzz33yBijSZMmZbstax+7/fbbJUkzZsxwuv21116TJPXu3dvl/Wd9D/na7yFlZGS4dR/Mr5yCaUxMjKQb74dSwdZDYX377bdKS0vLNn3Lli369ddfc/1obZcuXTRlyhTNmjVLYWFh+Xrcot4/CuraY4ExRrNmzVLp0qXVrVs3R03uPGb4+vrqnnvu0fvvv6+9e/dmu/36UyblVdmyZZ0+Op3l+mOln5+fGjZsKGNMvr4fCu9Af6e/F6X4+Hj5+Pho8uTJ2T69kbUvxcXFyc/PT3/729+c9q+33npLycnJuR6no6Ki5Ovrm+37xHPmzHHjUuTPuXPnsj1P8tLHC7MeCuu7777TL7/8km36sWPH9P333+fax2vXrq0ZM2Zo6tSpat26db4et6j3j4LKOqVblpkzZ0qS4zlfFK8t7r//fm3evFmrVq3Kdtv58+d15cqVfN9n2bJlHfNfq6DHxKJk/aOdl1iwYEGO35kYPXq0/u///s9x/us//vGPKlWqlN544w2lp6c7ndfyjjvu0OTJkzV48GC1a9dOe/bs0bvvvpvte6TDhg3TrFmzNHDgQG3fvl3h4eFavHixAgIC3LpML774ovr27av27dtr8ODBOnfunGbNmqXGjRs7vQAYOnSozp49q65du6patWo6duyYZs6cqZiYGMf343LSp08fdenSRX/+85/1008/qVmzZvr888+1cuVKjRkzxumHq/Lr1ltv1dKlS9WkSRPHX59vueUWlS1btkB/AbWaLl266KGHHtLf/vY3/fjjj+rZs6cyMzP11VdfqUuXLho5cqSaNWumhIQEzZ8/X+fPn1enTp20ZcsWvf3224qPj1eXLl1c3n+jRo3Utm1bjR8/XmfPnlXFihW1dOnSAh0w3WXy5MnasGGDevfuraioKJ0+fVpz5sxRtWrV1KFDB5fzFWY9FNbixYv17rvv6q677lKLFi3k5+en/fv3a8GCBfL399ezzz7rcl4fHx/95S9/KdDjFvX+URD+/v767LPPlJCQoDZt2ujTTz/Vxx9/rGeffdbxPc2iOGa89NJL+vLLL9WmTRsNGzZMDRs21NmzZ7Vjxw598cUXuX56wZUWLVrovffe09ixY9WqVSsFBgaqT58+6t69u8LCwtS+fXuFhoZq//79mjVrlnr37p3tu8XwHvR3+rsn1KlTR3/+8581ZcoU3Xrrrbr77rtlt9u1detWRUREaOrUqQoJCdH48eM1adIk9ezZU3feeacOHjyoOXPmqFWrVk4/8na94OBg3XfffZo5c6ZsNptq166tjz76KNv3i4vT22+/rTlz5uiuu+5S7dq1deHCBf39739XUFCQIwTmpDDrobBWr16tCRMm6M4771Tbtm0VGBioI0eOaMGCBUpPT9fEiRNznX/06NEFetyi3j8K6ujRo7rzzjvVs2dPbd68Wf/4xz80YMAANWvWTFLRvOZ66qmn9O9//1t33HGHBg0apBYtWigtLU179uzR8uXL9dNPP2X7Xaobyfp0z+OPP64ePXrI19dXDzzwQIGPiUWqqH4m/2aRdboNV5cTJ04YY4zZsWOH6dGjhwkMDDQBAQGmS5cuTqdxMubqqWvGjRtnwsPDTZkyZUz79u3N5s2bs50WzBhjjh07Zu68804TEBBgKleubEaPHm0+++yzPJ+6JqdTV+m6U4kYY8zSpUtN/fr1jd1uN40bNzb//ve/zT333GPq16/vGLN8+XLTvXt3U6VKFePn52eqV69uHn30UXPq1Kkbrr8LFy6YJ554wkRERJjSpUubunXrmmnTpmU7pUxeT12TZfbs2UaSeeyxx5ymx8XFGUlmzZo1eb6vLLmdmi6nU4hERUU5nVru2lOS5OV+c1pmV4+VkytXrphp06aZ+vXrGz8/PxMSEmJ69epltm/f7hhz+fJlM2nSJFOzZk1TunRpExkZacaPH29+//33bLVcvw8ePnzYxMXFGbvd7jgH6OrVq7Ptg662navT81y/jK7W2/Wnx1uzZo3p27eviYiIMH5+fiYiIsL0798/26lKcpLX9eCq5pzWT06uX7bdu3ebp556ytxyyy2mYsWKplSpUiY8PNzcd999ZseOHU7zutpPrpWf88y7c//I67Z0VWPWsh0+fNh0797dBAQEmNDQUDNhwoRsp9zJ6zEjr89LY66e23jEiBEmMjLSlC5d2oSFhZlu3bqZ+fPnO8ZkncZp2bJlOS7PtafoSU1NNQMGDDDly5d3nK7ImKun5evYsaOpVKmSsdvtpnbt2uapp54yycnJ2eqE59Hfb57+ntdju6vTFeanv+f11HRZFixYYJo3b27sdrupUKGC6dSpk1m9erXTmFmzZpn69eub0qVLm9DQUPPYY4+Zc+fOZavl+lNmnjlzxtxzzz0mICDAVKhQwTz66KNm79692Y5p+XmdktMyulpv158eb8eOHaZ///6mevXqxm63mypVqpg77rjDbNu2LQ9rKm/rwVXNOa2fnFy/bEeOHDHPP/+8adu2ralSpYopVaqUCQkJMb1793Y6zZoxrveT6+XntZ679g93vVb7/vvvzb333mvKlStnKlSoYEaOHGl+++03p3mL4jXXhQsXzPjx402dOnWMn5+fqVy5smnXrp155ZVXHOePz88x8sqVK2bUqFEmJCTE2Gw2kxWZC3NMLCo2Y7z0lzngtWJiYhQSEuJVp2UAYF2DBg3S8uXL3foDRwDyj/4OoCAmTpyoSZMm6cyZM/l+FxyFw3fm4dLly5ezfWx63bp1+u6779S5c2fPFAUAAAqF/g4AJQPfmYdLJ0+eVFxcnB588EFFRETowIEDmjdvnsLCwjR8+HBPl+c2Z86cyfXUZX5+frmejxsAACuhv19FfwdgdYR5uFShQgW1aNFCb775ps6cOaOyZcuqd+/eeumll1SpUiVPl+c2rVq1yvVULJ06ddK6deuKryAAAIoQ/f0q+jsAq7PMd+bPnj2rUaNG6T//+Y98fHx0zz336PXXX1dgYKDLeTp37qz169c7TXv00Uc1b968oi4XFrJx40b99ttvLm/PetEDAHAPejqKA/0dQElnmTDfq1cvnTp1Sm+88YYuX76swYMHq1WrVlqyZInLeTp37qx69epp8uTJjmkBAQGO874CAIDiR08HAKDwLPEx+/379+uzzz7T1q1b1bJlS0nSzJkzdfvtt+uVV15RRESEy3kDAgIUFhZWXKUCAIBc0NMBAHAPS4T5zZs3q3z58o6mL0lxcXHy8fHRt99+q7vuusvlvO+++67+8Y9/KCwsTH369NFzzz2ngIAAl+PT09OVnp7uuJ6ZmamzZ8+qUqVKstls7lkgAADywBijCxcuKCIiQj4+JeMENPR0AMDNqCh6uiXCfGJioqpUqeI0rVSpUqpYsaISExNdzjdgwABFRUUpIiJCu3fv1p/+9CcdPHhQH3zwgct5pk6dqkmTJrmtdgAACuvEiROqVq2ap8twC3o6AOBm5s6e7tEw/8wzz+jll1/Odcz+/fsLfP+PPPKI4/9NmjRReHi4unXrpsOHD6t27do5zjN+/HiNHTvWcT05OVnVq1dXB92uUipd4FoAwFs9uXuPp0uACxdTM3V/u59Urlw5T5dyQ1bq6cs3VVfZwJLxSYeS5uWmzTxdAgAUiSu6rK/1iVt7ukfD/Lhx4zRo0KBcx9SqVUthYWE6ffq00/QrV67o7Nmz+fruXJs2bSRJhw4dctn47Xa77HZ7tumlVFqlbIR5ACVP2XKEGm9nhY+EW6mnlw30Yb/3UrzWAlBi/f+fnXdnT/domA8JCVFISMgNx8XGxur8+fPavn274xQia9euVWZmpqOZ58WuXbskSeHh4QWqFwAA5IyeDgBA8bLEn6UbNGignj17atiwYdqyZYs2btyokSNH6oEHHnD86u3JkydVv359bdmyRZJ0+PBhTZkyRdu3b9dPP/2kf//73xo4cKA6duyopk2benJxAAC4adHTAQBwD0uEeenqL9jWr19f3bp10+23364OHTpo/vz5jtsvX76sgwcP6uLFi5IkPz8/ffHFF+revbvq16+vcePG6Z577tF//vMfTy0CAAAQPR0AAHewxK/ZS1LFihW1ZMkSl7fXqFFDxhjH9cjISK1fv744SgMAAPlATwcAoPAs8848AAAAAAC4ijAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFWC7Mz549WzVq1JC/v7/atGmjLVu25Dp+2bJlql+/vvz9/dWkSRN98sknxVQpAADIDT0dAICCs1SYf++99zR27FhNmDBBO3bsULNmzdSjRw+dPn06x/GbNm1S//79NWTIEO3cuVPx8fGKj4/X3r17i7lyAABwLXo6AACFYzPGGE8XkVdt2rRRq1atNGvWLElSZmamIiMjNWrUKD3zzDPZxvfr109paWn66KOPHNPatm2rmJgYzZs3L0+PmZKSouDgYHVWX5WylXbPggCAF/nzkV2eLgEupF3I1B1Njyg5OVlBQUGeLsetPNnTP91dQ2XLWer9jJvG5Fq3eLoEACgSV8xlrdNKt/Z0y3SyS5cuafv27YqLi3NM8/HxUVxcnDZv3pzjPJs3b3YaL0k9evRwOV6S0tPTlZKS4nQBAADuQ08HAKDwLBPmf/nlF2VkZCg0NNRpemhoqBITE3OcJzExMV/jJWnq1KkKDg52XCIjIwtfPAAAcKCnAwBQeJYJ88Vl/PjxSk5OdlxOnDjh6ZIAAEAB0NMBACVZKU8XkFeVK1eWr6+vkpKSnKYnJSUpLCwsx3nCwsLyNV6S7Ha77HZ74QsGAAA5oqcDAFB4lnln3s/PTy1atNCaNWsc0zIzM7VmzRrFxsbmOE9sbKzTeElavXq1y/EAAKDo0dMBACg8y7wzL0ljx45VQkKCWrZsqdatW2vGjBlKS0vT4MGDJUkDBw5U1apVNXXqVEnS6NGj1alTJ7366qvq3bu3li5dqm3btmn+/PmeXAwAAG569HQAAArHUmG+X79+OnPmjJ5//nklJiYqJiZGn332meMHcY4fPy4fn/992KBdu3ZasmSJ/vKXv+jZZ59V3bp19eGHH6px48aeWgQAACB6OgAAhWWp88x7AueZB1DScZ5571WSzzPvCZxn3vtxnnkAJdVNfZ55AAAAAABwFWEeAAAAAACLIcwDAAAAAGAxhHkAAAAAACyGMA8AAAAAgMUQ5gEAAAAAsBjCPAAAAAAAFkOYBwAAAADAYgjzAAAAAABYDGEeAAAAAACLIcwDAAAAAGAxhHkAAAAAACyGMA8AAAAAgMUQ5gEAAAAAsBjCPAAAAAAAFkOYBwAAAADAYgjzAAAAAABYDGEeAAAAAACLIcwDAAAAAGAxhHkAAAAAACyGMA8AAAAAgMUQ5gEAAAAAsBjCPAAAAAAAFkOYBwAAAADAYgjzAAAAAABYDGEeAAAAAACLIcwDAAAAAGAxhHkAAAAAACyGMA8AAAAAgMUQ5gEAAAAAsBjCPAAAAAAAFkOYBwAAAADAYgjzAAAAAABYDGEeAAAAAACLIcwDAAAAAGAxhHkAAAAAACyGMA8AAAAAgMUQ5gEAAAAAsBjCPAAAAAAAFkOYBwAAAADAYgjzAAAAAABYDGEeAAAAAACLsVyYnz17tmrUqCF/f3+1adNGW7ZscTl20aJFstlsThd/f/9irBYAALhCTwcAoOAsFebfe+89jR07VhMmTNCOHTvUrFkz9ejRQ6dPn3Y5T1BQkE6dOuW4HDt2rBgrBgAAOaGnAwBQOJYK86+99pqGDRumwYMHq2HDhpo3b54CAgK0YMECl/PYbDaFhYU5LqGhocVYMQAAyAk9HQCAwrFMmL906ZK2b9+uuLg4xzQfHx/FxcVp8+bNLudLTU1VVFSUIiMj1bdvX+3bty/Xx0lPT1dKSorTBQAAuA89HQCAwivl6QLy6pdfflFGRka2v8KHhobqwIEDOc4THR2tBQsWqGnTpkpOTtYrr7yidu3aad++fapWrVqO80ydOlWTJk1ye/0oOqt+3uXpEnADPSJiPF0CcvFCrRhPlwAXrpjLko54ugy383RPf7lpM5WylS78gsDt6Onej54OeA/LvDNfELGxsRo4cKBiYmLUqVMnffDBBwoJCdEbb7zhcp7x48crOTnZcTlx4kQxVgwAAHJCTwcAwJll3pmvXLmyfH19lZSU5DQ9KSlJYWFhebqP0qVLq3nz5jp06JDLMXa7XXa7vVC1AgAA1+jpAAAUnmXemffz81OLFi20Zs0ax7TMzEytWbNGsbGxebqPjIwM7dmzR+Hh4UVVJgAAuAF6OgAAhWeZd+YlaezYsUpISFDLli3VunVrzZgxQ2lpaRo8eLAkaeDAgapataqmTp0qSZo8ebLatm2rOnXq6Pz585o2bZqOHTumoUOHenIxAAC46dHTAQAoHEuF+X79+unMmTN6/vnnlZiYqJiYGH322WeOH9A5fvy4fHz+92GDc+fOadiwYUpMTFSFChXUokULbdq0SQ0bNvTUIgAAANHTAQAoLJsxxni6CG+WkpKi4OBgdVZffvnWS/HLt96PX74FCuaKuax1Wqnk5GQFBQV5uhzLo6d7P3q696OnAwVTFD3dMt+ZBwAAAAAAVxHmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWY6kwv2HDBvXp00cRERGy2Wz68MMPbzjPunXrdMstt8hut6tOnTpatGhRkdcJAABco58DAFB4lgrzaWlpatasmWbPnp2n8UePHlXv3r3VpUsX7dq1S2PGjNHQoUO1atWqIq4UAAC4Qj8HAKDwSnm6gPzo1auXevXqlefx8+bNU82aNfXqq69Kkho0aKCvv/5a06dPV48ePXKcJz09Xenp6Y7rKSkphSsaAAA4KY5+LtHTAQAlm6Xemc+vzZs3Ky4uzmlajx49tHnzZpfzTJ06VcHBwY5LZGRkUZcJAAByUZB+LtHTAQAlW4kO84mJiQoNDXWaFhoaqpSUFP322285zjN+/HglJyc7LidOnCiOUgEAgAsF6ecSPR0AULJZ6mP2xcFut8tut3u6DAAAUEj0dABASVai35kPCwtTUlKS07SkpCQFBQWpTJkyHqoKAADkB/0cAIDsSnSYj42N1Zo1a5ymrV69WrGxsR6qCAAA5Bf9HACA7CwV5lNTU7Vr1y7t2rVL0tVT1ezatUvHjx+XdPW7cQMHDnSMHz58uI4cOaKnn35aBw4c0Jw5c/Svf/1LTzzxhCfKBwAAop8DAOAOlgrz27ZtU/PmzdW8eXNJ0tixY9W8eXM9//zzkqRTp045XghIUs2aNfXxxx9r9erVatasmV599VW9+eabuZ7GBgAAFC36OQAAhWczxhhPF+HNUlJSFBwcrM7qq1K20p4uBzlY9fMuT5eAG+gREePpEgBLumIua51WKjk5WUFBQZ4ux/Lo6d6Pnu796OlAwRRFT7fUO/MAAAAAAIAwDwAAAACA5RDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIspUJhPSkrSQw89pIiICJUqVUq+vr5OFwAAYA30dAAArKlUQWYaNGiQjh8/rueee07h4eGy2WzurgsAABQDejoAANZUoDD/9ddf66uvvlJMTIybywEAAMWJng4AgDUV6GP2kZGRMsa4uxYAAFDM6OkAAFhTgcL8jBkz9Mwzz+inn35yczkAAKA40dMBALCmAn3Mvl+/frp48aJq166tgIAAlS5d2un2s2fPuqU4AABQtOjpAABYU4HC/IwZM9xcBgAA8AR6OgAA1lSgMJ+QkODuOgAAgAfQ0wEAsKYChfksp0+f1unTp5WZmek0vWnTpoUqCgAAFC96OgAA1lKgML99+3YlJCRo//792X4B12azKSMjwy3FAQCAokVPBwDAmgoU5h9++GHVq1dPb731lkJDQ2Wz2dxdFwAAKAb0dAAArKlAYf7IkSN6//33VadOHXfXAwAAihE9HQAAayrQeea7deum7777zt21AACAYkZPBwDAmgr0zvybb76phIQE7d27V40bN852Tto777zTLcUBAICiRU8HAMCaChTmN2/erI0bN+rTTz/Ndhs/lgMAgHXQ0wEAsKYCfcx+1KhRevDBB3Xq1CllZmY6XWj6AABYBz0dAABrKlCY//XXX/XEE08oNDTU3fUAAIBiRE8HAMCaChTm7777bn355ZfurgUAABQzejoAANZUoO/M16tXT+PHj9fXX3+tJk2aZPuxnMcff9wtxQEAgKJFTwcAwJpsxhiT35lq1qzp+g5tNh05cqRQRbmyYcMGTZs2Tdu3b9epU6e0YsUKxcfHuxy/bt06denSJdv0U6dOKSwsLE+PmZKSouDgYHVWX5Wylb7xDCh2q37e5ekScAM9ImI8XQJgSVfMZa3TSiUnJysoKKhIHsMTPd0T/Vyip1sBPd370dOBgimKnl6gd+aPHj3qlgfPr7S0NDVr1kwPP/yw7r777jzPd/DgQacVVqVKlaIoDwAAy/FET6efAwBQeAUK857Sq1cv9erVK9/zValSReXLl3d/QQAAIN/o5wAAFF6BwvzDDz+c6+0LFiwoUDFFJSYmRunp6WrcuLEmTpyo9u3buxybnp6u9PR0x/WUlJTiKBGFwMe9vN/iExs9XQJy8VCk62MiSj4r9fT89HOJnm5F9HSgcF48usXTJcCF1AuZWtfEvfdZoDB/7tw5p+uXL1/W3r17df78eXXt2tUthblDeHi45s2bp5YtWyo9PV1vvvmmOnfurG+//Va33HJLjvNMnTpVkyZNKuZKAQDwDCv09IL0c4meDgAo2QoU5lesWJFtWmZmph577DHVrl270EW5S3R0tKKjox3X27Vrp8OHD2v69OlavHhxjvOMHz9eY8eOdVxPSUlRZGRkkdcKAIAnWKGnF6SfS/R0AEDJVqDzzOd4Rz4+Gjt2rKZPn+6uuywSrVu31qFDh1zebrfbFRQU5HQBAOBmYoWefqN+LtHTAQAlm9vCvCQdPnxYV65cceddut2uXbsUHh7u6TIAAPBq3t7T6ecAgJtdgT5mf+1H1iTJGKNTp07p448/VkJCglsKy0lqaqrTX+GPHj2qXbt2qWLFiqpevbrGjx+vkydP6p133pEkzZgxQzVr1lSjRo30+++/680339TatWv1+eefF1mNAABYiSd6Ov0cAIDCK1CY37lzp9N1Hx8fhYSE6NVXX73hr+IWxrZt29SlSxfH9awXIAkJCVq0aJFOnTql48ePO26/dOmSxo0bp5MnTyogIEBNmzbVF1984XQfAADczDzR0+nnAAAUns0YYzxdhDdLSUlRcHCwOquvStlKe7ocwJI4NZ1349R03uuKuax1Wqnk5GS+7+0G9HQAJR2npvNeqRcy1bXJf93a0936nXkAAAAAAFD08vwx++bNm8tms+Vp7I4dOwpcEAAAKFr0dAAArC/PYT4+Pr4IywAAAMWFng4AgPXlOcxPmDChKOsAAADFhJ4OAID1FejX7LNs375d+/fvlyQ1atRIzZs3d0tRAACgeNHTAQCwlgKF+dOnT+uBBx7QunXrVL58eUnS+fPn1aVLFy1dulQhISHurBEAABQRejoAANZUoF+zHzVqlC5cuKB9+/bp7NmzOnv2rPbu3auUlBQ9/vjj7q4RAAAUEXo6AADWVKB35j/77DN98cUXatCggWNaw4YNNXv2bHXv3t1txQEAgKJFTwcAwJoK9M58ZmamSpcunW166dKllZmZWeiiAABA8aCnAwBgTQUK8127dtXo0aP1888/O6adPHlSTzzxhLp16+a24gAAQNGipwMAYE0FCvOzZs1SSkqKatSoodq1a6t27dqqWbOmUlJSNHPmTHfXCAAAigg9HQAAayrQd+YjIyO1Y8cOffHFFzpw4IAkqUGDBoqLi3NrcQAAoGjR0wEAsKZ8vTO/du1aNWzYUCkpKbLZbLrttts0atQojRo1Sq1atVKjRo301VdfFVWtAADATejpAABYW77C/IwZMzRs2DAFBQVluy04OFiPPvqoXnvtNbcVBwAAigY9HQAAa8tXmP/uu+/Us2dPl7d3795d27dvL3RRAACgaNHTAQCwtnyF+aSkpBxPX5OlVKlSOnPmTKGLAgAARYueDgCAteUrzFetWlV79+51efvu3bsVHh5e6KIAAEDRoqcDAGBt+Qrzt99+u5577jn9/vvv2W777bffNGHCBN1xxx1uKw4AABQNejoAANaWr1PT/eUvf9EHH3ygevXqaeTIkYqOjpYkHThwQLNnz1ZGRob+/Oc/F0mhAADAfejpAABYW77CfGhoqDZt2qTHHntM48ePlzFGkmSz2dSjRw/Nnj1boaGhRVIoAABwH3o6AADWlq8wL0lRUVH65JNPdO7cOR06dEjGGNWtW1cVKlQoivoAAEARoacDAGBd+Q7zWSpUqKBWrVq5sxYAAOAB9HQAAKwnXz+ABwAAAAAAPI8wDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWY5kwP3XqVLVq1UrlypVTlSpVFB8fr4MHD95wvmXLlql+/fry9/dXkyZN9MknnxRDtQAAwBV6OgAAhWeZML9+/XqNGDFC33zzjVavXq3Lly+re/fuSktLcznPpk2b1L9/fw0ZMkQ7d+5UfHy84uPjtXfv3mKsHAAAXIueDgBA4dmMMcbTRRTEmTNnVKVKFa1fv14dO3bMcUy/fv2Ulpamjz76yDGtbdu2iomJ0bx58/L0OCkpKQoODlZn9VUpW2m31A7cbBaf2OjpEpCLhyLbe7oEuHDFXNY6rVRycrKCgoI8XU6RoacDgHu8eHSLp0uAC6kXMtW1yX/d2tMt88789ZKTkyVJFStWdDlm8+bNiouLc5rWo0cPbd682eU86enpSklJcboAAICiQ08HACD/LBnmMzMzNWbMGLVv316NGzd2OS4xMVGhoaFO00JDQ5WYmOhynqlTpyo4ONhxiYyMdFvdAADAGT0dAICCsWSYHzFihPbu3aulS5e6/b7Hjx+v5ORkx+XEiRNufwwAAHAVPR0AgIIp5ekC8mvkyJH66KOPtGHDBlWrVi3XsWFhYUpKSnKalpSUpLCwMJfz2O122e12t9QKAABco6cDAFBwlnln3hijkSNHasWKFVq7dq1q1qx5w3liY2O1Zs0ap2mrV69WbGxsUZUJAABugJ4OAEDhWead+REjRmjJkiVauXKlypUr5/iOXHBwsMqUKSNJGjhwoKpWraqpU6dKkkaPHq1OnTrp1VdfVe/evbV06VJt27ZN8+fP99hyAABws6OnAwBQeJZ5Z37u3LlKTk5W586dFR4e7ri89957jjHHjx/XqVOnHNfbtWunJUuWaP78+WrWrJmWL1+uDz/8MNcf2AEAAEWLng4AQOFZ5p15Y8wNx6xbty7btPvuu0/33XdfEVQEAAAKgp4OAEDhWeadeQAAAAAAcBVhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAi7FMmJ86dapatWqlcuXKqUqVKoqPj9fBgwdznWfRokWy2WxOF39//2KqGAAA5ISeDgBA4VkmzK9fv14jRozQN998o9WrV+vy5cvq3r270tLScp0vKChIp06dclyOHTtWTBUDAICc0NMBACi8Up4uIK8+++wzp+uLFi1SlSpVtH37dnXs2NHlfDabTWFhYUVdHgAAyCN6OgAAhWeZd+avl5ycLEmqWLFiruNSU1MVFRWlyMhI9e3bV/v27ct1fHp6ulJSUpwuAACg6NDTAQDIP5sxxni6iPzKzMzUnXfeqfPnz+vrr792OW7z5s368ccf1bRpUyUnJ+uVV17Rhg0btG/fPlWrVi3HeSZOnKhJkyZlm/7p7hoqW86yf/so0SbXusXTJQBAkbhiLmudVio5OVlBQUGeLqdIeKKnd1ZflbKVdtsyADeTF49u8XQJyMWzNVt7ugS4UBQ93ZJh/rHHHtOnn36qr7/+2mUDz8nly5fVoEED9e/fX1OmTMlxTHp6utLT0x3XU1JSFBkZSZj3YoR5ACXVzRDmPdHTCfNAwRHmvRth3nsVRU+3zHfms4wcOVIfffSRNmzYkK+mL0mlS5dW8+bNdejQIZdj7Ha77HZ7YcsEAAA3QE8HAKDgLPNWszFGI0eO1IoVK7R27VrVrFkz3/eRkZGhPXv2KDw8vAgqBAAAeUFPBwCg8CzzzvyIESO0ZMkSrVy5UuXKlVNiYqIkKTg4WGXKlJEkDRw4UFWrVtXUqVMlSZMnT1bbtm1Vp04dnT9/XtOmTdOxY8c0dOhQjy0HAAA3O3o6AACFZ5kwP3fuXElS586dnaYvXLhQgwYNkiQdP35cPj7/+7DBuXPnNGzYMCUmJqpChQpq0aKFNm3apIYNGxZX2QAA4Dr0dAAACs+SP4BXnFJSUhQcHMwP4HkxfgAPQEl1M/wAXnHK6un8AB5QcPwAnnfjB/C8V1H0dNIpAAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFiMZcL83Llz1bRpUwUFBSkoKEixsbH69NNPc51n2bJlql+/vvz9/dWkSRN98sknxVQtAABwhZ4OAEDhWSbMV6tWTS+99JK2b9+ubdu2qWvXrurbt6/27duX4/hNmzapf//+GjJkiHbu3Kn4+HjFx8dr7969xVw5AAC4Fj0dAIDCsxljjKeLKKiKFStq2rRpGjJkSLbb+vXrp7S0NH300UeOaW3btlVMTIzmzZvn8j7T09OVnp7uuJ6SkqLIyEh9uruGypazzN8+biqTa93i6RIAoEhcMZe1TiuVnJysoKAgT5dTpIqzp3dWX5WylXbvAgA3iRePbvF0CcjFszVbe7oEuFAUPd2S6TQjI0NLly5VWlqaYmNjcxyzefNmxcXFOU3r0aOHNm/enOt9T506VcHBwY5LZGSk2+oGAADO6OkAABSMpcL8nj17FBgYKLvdruHDh2vFihVq2LBhjmMTExMVGhrqNC00NFSJiYm5Psb48eOVnJzsuJw4ccJt9QMAgKvo6QAAFE4pTxeQH9HR0dq1a5eSk5O1fPlyJSQkaP369S6bf0HY7XbZ7Xa33R8AAMiOng4AQOFYKsz7+fmpTp06kqQWLVpo69atev311/XGG29kGxsWFqakpCSnaUlJSQoLCyuWWgEAgGv0dAAACsdSH7O/XmZmptMP21wrNjZWa9ascZq2evVql9/HAwAAnkNPBwAgfyzzzvz48ePVq1cvVa9eXRcuXNCSJUu0bt06rVq1SpI0cOBAVa1aVVOnTpUkjR49Wp06ddKrr76q3r17a+nSpdq2bZvmz5/vycUAAOCmR08HAKDwLBPmT58+rYEDB+rUqVMKDg5W06ZNtWrVKt12222SpOPHj8vH538fNGjXrp2WLFmiv/zlL3r22WdVt25dffjhh2rcuLGnFgEAAIieDgCAO1j6PPPFISUlRcHBwZxn3otxnnkAJdXNdJ754pDV0znPPFBwnGfeu3Geee/FeeYBAAAAAABhHgAAAAAAqyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAiyHMAwAAAABgMYR5AAAAAAAshjAPAAAAAIDFEOYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII8wAAAAAAWAxhHgAAAAAAi7FMmJ87d66aNm2qoKAgBQUFKTY2Vp9++qnL8YsWLZLNZnO6+Pv7F2PFAAAgJ/R0AAAKr5SnC8iratWq6aWXXlLdunVljNHbb7+tvn37aufOnWrUqFGO8wQFBengwYOO6zabrbjKBQAALtDTAQAoPMuE+T59+jhdf+GFFzR37lx98803Lhu/zWZTWFhYcZQHAADyiJ4OAEDhWSbMXysjI0PLli1TWlqaYmNjXY5LTU1VVFSUMjMzdcstt+jFF190+SIhS3p6utLT0x3Xk5OTJUlpqZnuKR5ud8Vc9nQJAFAkrujq8c0Y4+FKio4nevoVXZZK7ioFilTqBV4TezNeF3uvIunpxkJ2795typYta3x9fU1wcLD5+OOPXY7dtGmTefvtt83OnTvNunXrzB133GGCgoLMiRMncn2MCRMmGF1t8Vy4cOHChYtXXA4fPuzulupx9HQuXLhw4XIzXtzZ023GWOfP/ZcuXdLx48eVnJys5cuX680339T69evVsGHDG857+fJlNWjQQP3799eUKVNcjrv+r/jnz59XVFSUjh8/ruDgYLcshyelpKQoMjJSJ06cUFBQkKfLKTSWx7uxPN6vpC1TSVue5ORkVa9eXefOnVP58uU9XY5b0dMLr6Tt7yyPd2N5vFtJWx6p5C1TUfR0S33M3s/PT3Xq1JEktWjRQlu3btXrr7+uN95444bzli5dWs2bN9ehQ4dyHWe322W327NNDw4OLhE7UZasXxAuKVge78byeL+StkwlbXl8fCxz8pk8o6e7T0nb31ke78byeLeStjxSyVsmd/Z0S786yMzMdPqLe24yMjK0Z88ehYeHF3FVAAAgv+jpAADkj2XemR8/frx69eql6tWr68KFC1qyZInWrVunVatWSZIGDhyoqlWraurUqZKkyZMnq23btqpTp47Onz+vadOm6dixYxo6dKgnFwMAgJsePR0AgMKzTJg/ffq0Bg4cqFOnTik4OFhNmzbVqlWrdNttt0mSjh8/7vSRhXPnzmnYsGFKTExUhQoV1KJFC23atClP38W7lt1u14QJE3L8mJ4VsTzejeXxbiVteaSSt0wsjzXQ092D5fFuLI93Y3m8X0lbpqJYHkv9AB4AAAAAALD4d+YBAAAAALgZEeYBAAAAALAYwjwAAAAAABZDmAcAAAAAwGII89c5e/as/vCHPygoKEjly5fXkCFDlJqamus8nTt3ls1mc7oMHz68mCrObvbs2apRo4b8/f3Vpk0bbdmyJdfxy5YtU/369eXv768mTZrok08+KaZK8yY/y7No0aJs28Lf378Yq83dhg0b1KdPH0VERMhms+nDDz+84Tzr1q3TLbfcIrvdrjp16mjRokVFXmde5Xd51q1bl2372Gw2JSYmFk/BNzB16lS1atVK5cqVU5UqVRQfH6+DBw/ecD5vfQ4VZHm8+Tk0d+5cNW3aVEFBQQoKClJsbKw+/fTTXOfx1m0j5X95vHnbeCt6unft8xI9nZ5ePEpaP5fo6ZJ3bx9P9XTC/HX+8Ic/aN++fVq9erU++ugjbdiwQY888sgN5xs2bJhOnTrluPz1r38thmqze++99zR27FhNmDBBO3bsULNmzdSjRw+dPn06x/GbNm1S//79NWTIEO3cuVPx8fGKj4/X3r17i7nynOV3eSQpKCjIaVscO3asGCvOXVpampo1a6bZs2fnafzRo0fVu3dvdenSRbt27dKYMWM0dOhQx7mYPS2/y5Pl4MGDTtuoSpUqRVRh/qxfv14jRozQN998o9WrV+vy5cvq3r270tLSXM7jzc+hgiyP5L3PoWrVqumll17S9u3btW3bNnXt2lV9+/bVvn37chzvzdtGyv/ySN67bbwVPd279nl6Oj29uJS0fi7R0719+3ispxs4fP/990aS2bp1q2Pap59+amw2mzl58qTL+Tp16mRGjx5dDBXeWOvWrc2IESMc1zMyMkxERISZOnVqjuPvv/9+07t3b6dpbdq0MY8++miR1plX+V2ehQsXmuDg4GKqrnAkmRUrVuQ65umnnzaNGjVymtavXz/To0ePIqysYPKyPF9++aWRZM6dO1csNRXW6dOnjSSzfv16l2O8/Tl0rbwsj5WeQ8YYU6FCBfPmm2/meJuVtk2W3JbHatvG0+jpV3nTPk9Pp6d7Sknr58bQ043x7u1jTPH0dN6Zv8bmzZtVvnx5tWzZ0jEtLi5OPj4++vbbb3Od991331XlypXVuHFjjR8/XhcvXizqcrO5dOmStm/frri4OMc0Hx8fxcXFafPmzTnOs3nzZqfxktSjRw+X44tTQZZHklJTUxUVFaXIyMgb/kXM23nz9imMmJgYhYeH67bbbtPGjRs9XY5LycnJkqSKFSu6HGOlbZSX5ZGs8RzKyMjQ0qVLlZaWptjY2BzHWGnb5GV5JGtsG29BT7/KW/Z5erp3b5/CsEJPL2n9XKKnS967fYqzp5cqTKElTWJiYraPBpUqVUoVK1bM9fs/AwYMUFRUlCIiIrR792796U9/0sGDB/XBBx8UdclOfvnlF2VkZCg0NNRpemhoqA4cOJDjPImJiTmO94bvOxVkeaKjo7VgwQI1bdpUycnJeuWVV9SuXTvt27dP1apVK46y3crV9klJSdFvv/2mMmXKeKiyggkPD9e8efPUsmVLpaen680331Tnzp317bff6pZbbvF0eU4yMzM1ZswYtW/fXo0bN3Y5zpufQ9fK6/J4+3Noz549io2N1e+//67AwECtWLFCDRs2zHGsFbZNfpbH27eNt6Gn/2+8N+zz9HR6uqeUtH4u0dOzeNv28URPvynC/DPPPKOXX3451zH79+8v8P1f+/27Jk2aKDw8XN26ddPhw4dVu3btAt8v8i82NtbpL2Dt2rVTgwYN9MYbb2jKlCkerAzS1QNXdHS043q7du10+PBhTZ8+XYsXL/ZgZdmNGDFCe/fu1ddff+3pUtwir8vj7c+h6Oho7dq1S8nJyVq+fLkSEhK0fv16l83S2+Vnebx92xQXevrNg33eu1mlp5e0fi7R072VJ3r6TRHmx40bp0GDBuU6platWgoLC8v2IyxXrlzR2bNnFRYWlufHa9OmjSTp0KFDxdr4K1euLF9fXyUlJTlNT0pKcll/WFhYvsYXp4Isz/VKly6t5s2b69ChQ0VRYpFztX2CgoIs9xd8V1q3bu11DXbkyJGOH8u60V9Hvfk5lCU/y3M9b3sO+fn5qU6dOpKkFi1aaOvWrXr99df1xhtvZBtrhW2Tn+W5nrdtm+JCT6enW3Wfp6cXv5LWzyV6+rW8bft4oqffFN+ZDwkJUf369XO9+Pn5KTY2VufPn9f27dsd865du1aZmZmOZp4Xu3btknT140fFyc/PTy1atNCaNWsc0zIzM7VmzRqX39eIjY11Gi9Jq1evzvX7HcWlIMtzvYyMDO3Zs6fYt4W7ePP2cZddu3Z5zfYxxmjkyJFasWKF1q5dq5o1a95wHm/eRgVZnut5+3MoMzNT6enpOd7mzdvGldyW53revm2KCj2dnm7Vfd6bt4+7eEtPL2n9XKKne/v2yUmx9PRC/4ReCdOzZ0/TvHlz8+2335qvv/7a1K1b1/Tv399x+3//+18THR1tvv32W2OMMYcOHTKTJ08227ZtM0ePHjUrV640tWrVMh07dvRI/UuXLjV2u90sWrTIfP/99+aRRx4x5cuXN4mJicYYYx566CHzzDPPOMZv3LjRlCpVyrzyyitm//79ZsKECaZ06dJmz549Hqn/evldnkmTJplVq1aZw4cPm+3bt5sHHnjA+Pv7m3379nlqEZxcuHDB7Ny50+zcudNIMq+99prZuXOnOXbsmDHGmGeeecY89NBDjvFHjhwxAQEB5qmnnjL79+83s2fPNr6+vuazzz7z1CI4ye/yTJ8+3Xz44Yfmxx9/NHv27DGjR482Pj4+5osvvvDUIjh57LHHTHBwsFm3bp05deqU43Lx4kXHGCs9hwqyPN78HHrmmWfM+vXrzdGjR83u3bvNM888Y2w2m/n888+NMdbaNsbkf3m8edt4K3q6d+3z9HR6enEpaf3cGHq6t28fT/V0wvx1fv31V9O/f38TGBhogoKCzODBg82FCxcctx89etRIMl9++aUxxpjjx4+bjh07mooVKxq73W7q1KljnnrqKZOcnOyhJTBm5syZpnr16sbPz8+0bt3afPPNN47bOnXqZBISEpzG/+tf/zL16tUzfn5+plGjRubjjz8u5opzl5/lGTNmjGNsaGiouf32282OHTs8UHXOsk7jcv0laxkSEhJMp06dss0TExNj/Pz8TK1atczChQuLvW5X8rs8L7/8sqldu7bx9/c3FStWNJ07dzZr1671TPE5yGlZJDmtcys9hwqyPN78HHr44YdNVFSU8fPzMyEhIaZbt26OJmmMtbaNMflfHm/eNt6Knu5d+7wx9HR6evEoaf3cGHq6Md69fTzV023GGJO/9/IBAAAAAIAn3RTfmQcAAAAAoCQhzAMAAAAAYDGEeQAAAAAALIYwDwAAAACAxRDmAQAAAACwGMI8AAAAAAAWQ5gHAAAAAMBiCPMAAAAAAFgMYR4AAAAAAIshzAMlSGJiokaNGqVatWrJbrcrMjJSffr00Zo1azxdmtcYNGiQ4uPjPV0GAAC5oqffGD0dN7tSni4AgHv89NNPat++vcqXL69p06apSZMmunz5slatWqURI0bowIEDni4RAADkAT0dQF7wzjxQQvzxj3+UzWbTli1bdM8996hevXpq1KiRxo4dq2+++UaSdPz4cfXt21eBgYEKCgrS/fffr6SkJMd9TJw4UTExMVqwYIGqV6+uwMBA/fGPf1RGRob++te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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Perform ISM on reduced matrices w_fnmf and w_nmf\n", + "# ISM is expected to recognize that w_fnmf and w_nmf convey the same information up to some noise,\n", + "# albeit with the columns of either matrix swapped around.\n", + "# Heatmaps of the loadings of w_fnmf and w_nmf columns on ISM components show the effective permutation. \n", + "\n", + "Xs = [w_fnmf, w_nmf]\n", + "n_embedding, n_themes = [n_comp,n_comp]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=0, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii = ilsm_result['HHII']\n", + "w_ism = ilsm_result['W']\n", + "h_ism = ilsm_result['H']\n", + "q_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(10, 5), constrained_layout=True)\n", + "\n", + "ax[0].imshow(hv[0], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[0].set_xlabel('Component')\n", + "ax[0].set_ylabel('Column')\n", + "ax[0].set_title('Loadings of w_fnmf columns on ISM components')\n", + "\n", + "ax[1].imshow(hv[1], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[1].set_xlabel('Component')\n", + "ax[1].set_ylabel('Column')\n", + "ax[1].set_title('Loadings of w_nmf columns on ISM components')\n", + "\n", + "# Show the plot\n", + "plt.show()\n", + "\n", + "# Apply back-permutation to obtain comparable components and plot scatterplot\n", + "w_fnmf_perm = w_fnmf[:,np.argmax(hv[0], axis=0)]\n", + "w_nmf_perm = w_nmf[:,np.argmax(hv[1], axis=0)]\n", + "\n", + "regressor = LinearRegression()\n", + "\n", + "fig, ax = plt.subplots(1, n_comp, figsize=(20, 5), constrained_layout=True)\n", + "for i in range(n_comp):\n", + " regressor.fit(w_fnmf_perm[:,i].reshape(-1, 1), w_nmf_perm[:,i])\n", + " ax[i].plot(w_fnmf_perm[:,i], regressor.predict(w_fnmf_perm[:,i].reshape(-1, 1)), color='r', label='Linear Trend')\n", + " ax[i].scatter(w_fnmf_perm[:,i], w_nmf_perm[:,i], color='b')\n", + " ax[i].set_xlabel('w_fnmf('+str(i)+')')\n", + " ax[i].set_ylabel('w_nmf('+str(i)+')')\n", + " ax[i].set_title('nmf versus fnmf W component '+str(i))\n", + " ax[i].grid(True)\n", + " ax[i].legend()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/federated_nmf_ism.ipynb b/examples/federated_nmf_ism.ipynb new file mode 100644 index 0000000..e5aa7b1 --- /dev/null +++ b/examples/federated_nmf_ism.ipynb @@ -0,0 +1,297 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n" + ] + } + ], + "source": [ + "import numpy as np # type: ignore\n", + "import pandas as pd # type: ignore\n", + "import matplotlib.pyplot as plt # type: ignore\n", + "import adilsm.adilsm as ilsm\n", + "from adnmtf import NMF # type: ignore\n", + "from sklearn.linear_model import LinearRegression\n", + "import time\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'\n", + "\n", + "df = pd.read_csv(DATA_PATH + 'ALL-AML Brunet.csv')\n", + "\n", + "# for Brunet only:\n", + "m0 = np.log2(df.values[:,2:].astype(np.float_))\n", + "(n,p) = np.shape(m0)\n", + "m0-=np.repeat(np.min(m0, axis=0)[:,np.newaxis].T, n, axis=0)\n", + "\n", + "m0 = np.random.permutation(m0.T).T\n", + "\n", + "# Enlarge matrix to better compare performance\n", + "m0 = np.vstack((m0, m0))\n", + "m0 = np.hstack((m0, m0))\n", + "\n", + "(n,p) = np.shape(m0)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "n_slices = 10\n", + "n_comp = 4\n", + "p_slice = int(p/n_slices)\n", + "Xs=[m0[:,i*p_slice:(i+1)*p_slice] for i in range(n_slices)]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "my_nmfmodel = NMF(n_components=n_comp, leverage=None, max_iter=200, tol=1.e-6, verbose=-1, random_state=0)\n", + "\n", + "start_time = time.time()\n", + "estimator_ = my_nmfmodel.fit_transform(m0.copy())\n", + "\n", + "w_nmf = estimator_.w\n", + "h_nmf = estimator_.h\n", + "end_time = time.time()\n", + "execution_time_nmf = end_time - start_time\n", + "\n", + "Ws = []\n", + "Hs = []\n", + "execution_time_fnmf = 0\n", + "for i in range(n_slices):\n", + " start_time = time.time()\n", + " estimator_ = my_nmfmodel.fit_transform(Xs[i].copy())\n", + " w = estimator_.w\n", + " h = estimator_.h\n", + " end_time = time.time()\n", + " execution_time_fnmf += (end_time - start_time)\n", + " Ws.append(w)\n", + " Hs.append(h)\n", + "\n", + "# execution_time_fnmf /= n_slices" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.15\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "iteration 3...\n", + "error ism after straightening: 0.15\n", + "error(fnmf): 0.41\n", + "time(fnmf): 2.7136\n", + "error(nmf): 0.4\n", + "time(nmf): 4.8906\n" + ] + } + ], + "source": [ + "# Perform ISM on NMF slices\n", + "n_embedding, n_themes = [n_comp,n_comp]\n", + "\n", + "start_time = time.time()\n", + "ilsm_result = ilsm.ism(Ws, n_embedding, n_themes, norm_columns=0, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii = ilsm_result['HHII']\n", + "w_ism = ilsm_result['W']\n", + "h_ism = ilsm_result['H']\n", + "q_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "# Chain-multiplication to retrieve view-mapping to original matrix\n", + "h_fnmf = np.empty((0, n_comp))\n", + "for i in range(n_slices):\n", + " h_fnmf = np.vstack((h_fnmf, Hs[i] @ hv[i]))\n", + "\n", + "# normalize w_ism and h_fnmf by max column in w_ism as in w_nmf\n", + "max_values = np.max(w_ism, axis=0)\n", + "w_fnmf = np.divide(w_ism, np.where(max_values == 0, 1, max_values))\n", + "h_fnmf = np.multiply(h_fnmf, max_values)\n", + "\n", + "end_time = time.time()\n", + "execution_time_fnmf += (end_time - start_time)\n", + "\n", + "# Calculate error\n", + "error = np.linalg.norm(m0 - w_fnmf @ h_fnmf.T) / np.linalg.norm(m0)\n", + "print('error(fnmf): ',round(error, 2))\n", + "print('time(fnmf): ',round(execution_time_fnmf, 4))\n", + "\n", + "error = np.linalg.norm(m0 - w_nmf @ h_nmf.T) / np.linalg.norm(m0)\n", + "print('error(nmf): ',round(error, 2))\n", + "print('time(nmf): ',round(execution_time_nmf, 4))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.02\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "error ism after straightening: 0.02\n" + ] + }, + { + "data": { + "image/png": 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Perform ISM on reduced matrices w_fnmf and w_nmf\n", + "# ISM is expected to recognize that w_fnmf and w_nmf convey the same information up to some noise,\n", + "# albeit with the columns of either matrix swapped around.\n", + "# Heatmaps of the loadings of w_fnmf and w_nmf columns on ISM components show the effective permutation. \n", + "\n", + "Xs = [w_fnmf, w_nmf]\n", + "n_embedding, n_themes = [n_comp,n_comp]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=0, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii = ilsm_result['HHII']\n", + "w_ism = ilsm_result['W']\n", + "h_ism = ilsm_result['H']\n", + "q_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(10, 5), constrained_layout=True)\n", + "\n", + "ax[0].imshow(hv[0], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[0].set_xlabel('Component')\n", + "ax[0].set_ylabel('Column')\n", + "ax[0].set_title('Loadings of w_fnmf columns on ISM components')\n", + "\n", + "ax[1].imshow(hv[1], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[1].set_xlabel('Component')\n", + "ax[1].set_ylabel('Column')\n", + "ax[1].set_title('Loadings of w_nmf columns on ISM components')\n", + "\n", + "# Show the plot\n", + "plt.show()\n", + "\n", + "# Apply back-permutation to obtain comparable components and plot scatterplot\n", + "w_fnmf_perm = w_fnmf[:,np.argmax(hv[0], axis=0)]\n", + "w_nmf_perm = w_nmf[:,np.argmax(hv[1], axis=0)]\n", + "\n", + "regressor = LinearRegression()\n", + "\n", + "fig, ax = plt.subplots(1, n_comp, figsize=(20, 5), constrained_layout=True)\n", + "for i in range(n_comp):\n", + " regressor.fit(w_fnmf_perm[:,i].reshape(-1, 1), w_nmf_perm[:,i])\n", + " ax[i].plot(w_fnmf_perm[:,i], regressor.predict(w_fnmf_perm[:,i].reshape(-1, 1)), color='r', label='Linear Trend')\n", + " ax[i].scatter(w_fnmf_perm[:,i], w_nmf_perm[:,i], color='b')\n", + " ax[i].set_xlabel('w_fnmf('+str(i)+')')\n", + " ax[i].set_ylabel('w_nmf('+str(i)+')')\n", + " ax[i].set_title('nmf versus fnmf W component '+str(i))\n", + " ax[i].grid(True)\n", + " ax[i].legend()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/gfa.py b/examples/gfa.py new file mode 100644 index 0000000..2adfe48 --- /dev/null +++ b/examples/gfa.py @@ -0,0 +1,670 @@ +# GFA wrapper +""" +GFA (Group Factor Analysis) +This is a Python implementation of the file ./R/CCAGFA.R in the R package CCAGFA +https://github.com/mladv15/gfa-python +""" + +from __future__ import division, print_function +import numpy as np +import scipy as sp +import scipy.special +import scipy.linalg +import scipy.optimize +import math +import matplotlib.pyplot as plt +def gfa_experiments(Y, K, Nrep=10, verbose=1, **opts): + """ + A wrapper for running the GFA model `Nrep` times + and choosing the final model based on the best + lower bound. This is the recommended way of applying + the algorithm. + See GFA() for description of the inupts. + """ + opts["verbose"] = verbose + lb = [] # lower bounds + models = [] # the best one will be returned + for rep in range(Nrep): + model = gfa(Y, K, R=2, **opts) + models.append(model) + lb.append(model['cost'][-1]) # not defined yet + if verbose == 1: + # TODO: this is just a placeholder, will add real values after gfa() is finished + print("Run %d/%d: %d iterations with final cost %f" % (rep+1, Nrep, len(model['cost']), lb[rep])) + k = np.argmax(lb) + return models[k] + + +def gfa(Y, K, + R="full", lambda_=0.1, rotate=True, + opt_method="L-BFGS", opt_iter=10e5, lbfgs_factr=10e10, bfgs_crit=10e-5, + init_tau=1000, + iter_crit=10e-6, iter_max=10e5, + addednoise=1e-5, + prior_alpha_0=1e-14, prior_alpha_0t=1e-14, + prior_beta_0=1e-14, prior_beta_0t=1e-14, + dropK=True, low_mem=False, + verbose=2): + """ + Parameters + ---------- + Y : list + List of M data ndarrays. Y[m] is an ndarray (matrix) with + N rows (samples) and D_m columns (features). The + samples need to be co-occurring. + NOTE: All of these should be centered, so that the mean + of each feature is zero + NOTE: The algorithm is roughly invariant to the scale + of the data, but extreme values should be avoided. + Data with roughly unit variance or similar scale + is recommended. + K : int + The number of components + + Returns + ------- + The trained model, which is a dict that contains the following elements: + TODO: (could make the model an object later) + Z : The mean of the latent variables; N times K matrix + covZ : The covariance of the latent variables; K times K matrix + ZZ : The second moments ZZ^T; K times K matrix + + W : List of the mean projections; D_i times K matrices + covW : List of the covariances of the projections; D_i times D_i matrices + WW : List of the second moments WW^T; K times K matrices + + tau : The mean precisions (inverse variance, so 1/tau gives the + variances denoted by sigma in the paper); M-element vector + + alpha: The mean precisions of the projection weights, the + variances of the ARD prior; M times K matrix + + U,V,u.mu,v.mu: The low-rank factorization of alpha. + + cost : Vector collecting the variational lower bounds for each + iteration + D : Data dimensionalities; M-element vector + datavar : The total variance in the data sets, needed for + GFAtrim() + addednoise: The level of extra noise as in opts$addednoise + + They use getDefaultOpts() in the R package, + but I guess specifying default argument values like this is more standard Python, + like scikit learn https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/ensemble/gradient_boosting.py#L723. + """ + # check that data is centered + for m, Y_m in enumerate(Y): + if not np.all(np.abs(np.mean(Y_m, axis=0)) < 1e-7) and verbose == 2: + print("Warning: data from group %d does not have zero mean" % m) + + # check that there is more than one group of data + if len(Y) < 2: + print("Warning: the number of data sets must be larger than 1") + + # store dimensions + M = len(Y) + D = [Y_m.shape[1] for Y_m in Y] # Data dimensions for each group. D = [D_1, ..., D_M] + D = np.array(D) + Ds = sum(D) # total nr of features + N = Y[0].shape[0] # total number of samples + datavar = [] # total variance of the data for each group + for Y_m in Y: + # Y_m is NxD_m, so take variance along column (axis=0), total variance <- sum + datavar.append(sum(np.var(Y_m, axis=0))) + + if isinstance(R, int) and R >= min(M, K): + if verbose == 2: + print("The rank corresponds to full rank solution.") + R = "full" + if R != "full": + if verbose == 2: + print("NOTE: optimization of the rotation is not supported for low rank model") + rotate = False + + # Some constants for speeding up the computation + const = - N*Ds/2*np.log(2*np.pi) # constant factors for the lower bound + Yconst = [np.sum(np.vectorize(pow)(Y_m, 2)) for Y_m in Y] + id_ = np.ones(K) + alpha_0 = prior_alpha_0 # Easier access for hyperprior values + beta_0 = prior_beta_0 + alpha_0t = prior_alpha_0t + beta_0t = prior_beta_0t + + # + # Initialize the model randomly; other initializations could + # be done, but overdispersed random initialization is quite good. + # + + # Latent variables Z + Z = np.random.randn(N, K) # The mean + covZ = np.diag(np.ones(K)) # The covariance + ZZ = covZ + covZ*N # The second moments + + # ARD and noise parameters (What is ARD?) + alpha = np.ones((M, K)) # The mean of the ARD precisions + logalpha = np.ones((M, K)) # The mean of <\log alpha> + if R == "full": + b_ard = np.ones((M, K)) # The parameters of the Gamma distribution + a_ard = alpha_0 + D/2 # for ARD precisions + # psi is digamma, derivative of the logarithm of the gamma function + digammaa_ard = sp.special.psi(a_ard) + tau = np.repeat(init_tau, M) # The mean noise precisions + a_tau = alpha_0t + N*D/2 # The parameters of the Gamma distribution + b_tau = np.zeros(M) # for the noise precisions + digammaa_tau = sp.special.psi(a_tau) # Constants needed for computing the lower bound + lgammaa_tau = -np.sum(np.vectorize(math.lgamma)(a_tau)) + lb_pt_const = -M*np.vectorize(math.lgamma)(alpha_0t) + M*alpha_0t*np.log(beta_0t) + + # Alpha needs to be initialized to match the data scale + for m in range(M): + alpha[m, :] = K*D[m]/(datavar[m]-1/tau[m]) + + # The projections + # No need to initialize projections randomly ,since their updating + # step is the first one; just define the variables here + #low_mem = True + W = [None]*M # the means + if not low_mem: + covW = [None]*M # the covariances + else: + covW = np.diag(np.ones(K)) + + WW = [None]*M # the second moments + for m in range(M): + # I think the more standard way would be to let W[m] be KxD_m + # but they apparently set it to (D_m x K) + W[m] = np.zeros((D[m], K)) # So each W[m] is actually W[m].T + if not low_mem: + covW[m] = np.diag(np.ones(K)) + # matrix crossproduct of W is W.T %*% W + WW[m] = np.dot(W[m].T, W[m]) + covW[m]*D[m] + else: + WW[m] = np.dot(W[m].T, W[m]) + covW*D[m] + + # Rotation parameters (full rank only) + if(rotate): + Rot = np.diag(np.ones(K)) # The rotation matrix R (in ICML11 paper) + RotInv = np.diag(np.ones(K)) # Its inverse + r = np.array(Rot).flatten() # Vectorizd version of R, will be passed to optimization function + + # parameter dict for the optimization function + # scipy.optimize takes these optional parameters as a tuple and passes them to the objective function + # but store them as dict first for easier modification + par_dict = {'K': K, 'D': D, 'Ds': Ds, 'N': N, 'WW': WW, 'ZZ': ZZ, 'M': M} + + + # Use R-rank factorization of alpha + if R != "full": + U = np.abs(np.random.randn(M, R)) + lu = U.size + u_mu = np.repeat(0, M) + V = np.abs(np.random.randn(K, R)) + lv = V.size + v_mu = np.repeat(0, K) + + x = np.hstack((U.flatten(), V.flatten(), u_mu, v_mu)) + x = np.random.randn(len(x)) / 100 + + par_uv = {'getu': range(0, lu), \ + 'getv': range(lu, lu + lv), \ + 'getumean': range(lu + lv, lu + lv + M), \ + 'getvmean': range(lu + lv + M, len(x)), \ + 'M': M, \ + 'K': K, \ + 'R': R, \ + 'D': D, \ + 'lambda': lambda_} + + par_uv['w2'] = np.zeros((M, K)) + + + cost = [] # for storing the lower bounds + + # + # The main loop + # + for iter_ in range(int(iter_max)): + + # Check if some components need to be removed + # remove columns which have most elements approaching 0 + # np.where() returns a tuple + (keep,) = np.where(np.power(Z, 2).mean(axis=0) > 1e-7) # column indices to keep + if len(keep) != K and dropK: + K = len(keep) + if K == 0: + raise ValueError("All latent factors in Z are 0, shut down all components, no structure found in the data") + id_ = np.ones(K) + # in R, when selecting only one column from the matrix, the result is defaulted to + # a normal (row) array. Since we're indexing with an array (`keep`), the Python default + # is to return a column vector, so no need for a drop argument. + Z = Z[:, keep] + # covZ = covZ[keep, keep] in R + covZ = covZ[keep][:, keep] + # ZZ = ZZ[keep, keep] in R + ZZ = ZZ[keep][:, keep] + for m in range(M): + W[m] = W[m][:, keep] + if not low_mem: + # covW[m] = covW[m][keep, keep] in R + covW[m] = covW[m][keep][:, keep] + # WW[m] = WW[m][keep, keep] in R + WW[m] = WW[m][keep][:, keep] + + alpha = alpha[:, keep] + logalpha = logalpha[:, keep] + + if R != "full": + V = V[keep, :] + v_mu = v_mu[keep] + x = np.hstack((U.flatten(), V.flatten(), u_mu, v_mu)) + lv = V.size + par_uv['K'] = K + par_uv['getv'] = range(lu, lu + lv) + par_uv['getumean'] = range(lu + lv, lu + lv + M) + par_uv['getvmean'] = range(lu + lv + M, len(x)) + par_uv['w2'] = np.zeros((M, K)) + else: + b_ard = np.ones((M, K)) + if rotate: + par_dict['K'] = K + # endif len(keep) != K and dropK + + # + # Update the projections + # + lb_qw = np.empty(M) # Computes also the determinant of covW needed for the lower bound + for m in range(M): + # Efficient and robust way of computing + # solve(diag(alpha) + tau * ZZ^T) + tmp = 1/np.sqrt(alpha[m, :]) + # Cholesky decomposition + # R package uses upper triangular part, as does scipy (but NOT numpy) + # diag_tau = np.diag(np.tile(tau, K)[:K]) + diag_tau = np.diag(1/(np.ones(K) * tau[m])) + cho_before = np.outer(tmp, tmp) * ZZ + diag_tau + cho = sp.linalg.cholesky(cho_before, lower=False) + det = -2*np.sum(np.log(np.diag(cho))) - np.sum(np.log(alpha[m, :])) - K*np.log(tau[m]) + lb_qw[m] = det + if not low_mem: + # chol2inv calculates the inverse of the matrix whose Cholesky decomposition was given. + # Python doesn't have this function, so I'll just take the inverse of the matrix itself + # without going through its Cholesky decomposition + covW[m] = 1/tau[m] * np.outer(tmp, tmp) * np.linalg.inv(cho_before) + W[m] = np.dot(Y[m].T, Z).dot(covW[m]) * tau[m] + WW[m] = np.dot(W[m].T, W[m]) + covW[m]*D[m] + else: + covW = 1/tau[m] * np.outer(tmp, tmp) * np.linalg.inv(cho_before) + W[m] = np.dot(Y[m].T, Z).dot(covW) * tau[m] + WW[m] = np.dot(W[m].T, W[m]) + covW*D[m] + + # + # Update the latent variables + # + + # Efficient and robust way of computing + # solve(diag(1,K) + tau * WW^t) + covZ = np.diag(np.ones(K)) + for m in range(M): + covZ = covZ + tau[m]*WW[m] + cho = sp.linalg.cholesky(covZ, lower=False) + covZ = np.linalg.inv(covZ) + det = -2*np.sum(np.log(np.diag(cho))) + lb_qx = det + + Z = Z*0 + for m in range(M): + Z = Z + Y[m].dot(W[m])*tau[m] + Z = Z.dot(covZ) + ZZ = np.dot(Z.T, Z) + N*covZ + + # + # Optimization of the rotation (only start after the first + # iteration) + # + + if R=="full" and rotate and iter_ > 0: + #Update the parameter list for the optimizer + par_dict["WW"] = WW + par_dict["ZZ"] = ZZ + + # par <- list(K=K,D=D,Ds=Ds,N=N,WW=WW,ZZ=ZZ,M=M) + par = tuple([par_dict[key] for key in ['K', 'D', 'Ds', 'N', 'WW', 'ZZ', 'M']]) + + # Always start from the identity matrix, i.e. no rotation + r = np.diag(np.ones(K)).flatten() + if opt_method == "BFGS": + r_opt = sp.optimize.minimize(fun=E, x0=r, args=par, method='BFGS', jac=gradE, + options={'maxiter': opt_iter}) # no reltol in SciPy + if opt_method == "L-BFGS": + r_opt = sp.optimize.minimize(fun=E, x0=r, args=par, method='L-BFGS-B', jac=gradE, + options={'maxiter': opt_iter}) # factr deprecated + + # print(r_opt) + if not r_opt.success: + # sometimes work, indicating that the loss function E and the gradient gradE are correct? + # mostly doesn't work though because the code is not complete yet. + print("\n=============================================================") + print("Failure in optimizing the rotation. Turning the rotation off.") + print("=============================================================\n") + rotate = False + else: + # Update the parameters involved in the rotation: + Rot = r_opt.x.reshape(K, K) + U, d, V = np.linalg.svd(Rot) + det = np.sum(np.log(d)) + RotInv = np.dot( V*np.outer(id_, 1/d), U.T ) + + Z = np.dot(Z, RotInv.T) + covZ = np.dot(RotInv.dot(covZ), RotInv.T) + ZZ = np.dot(Z.T, Z) + N*covZ + + lb_qx = lb_qx - 2*det + + for m in range(M): + if not low_mem: + W[m] = W[m].dot(Rot) + covW[m] = np.dot(Rot, covW[m].T).dot(Rot) + WW[m] = np.dot(W[m].T, W[m]) + covW[m]*D[m] + else: + # covW[m] is not stored, so it needs to be computed before rotation + covW = (WW[m] - np.dot(W[m].T, W[m]))/D[m] + W[m] = W[m].dot(Rot) + covW = np.dot(Rot.T, covW).dot(Rot) + WW[m] = np.dot(W[m].T, W[m]) + covW*D[m] + + lb_qw[m] = lb_qw[m] + 2*det + # endif rotate + + # Update alpha, the ARD parameters + if R == "full": + for m in range(M): + tmp = beta_0t + np.diag(WW[m]) / 2 + alpha[m, :] = a_ard[m] / tmp + b_ard[m, :] = tmp + else: + for m in range(M): + par_uv['w2'][m, :] = np.diag(WW[m]) + + minBound = np.hstack((np.repeat(-np.sqrt(500/R), M*R+K*R), np.repeat(-50, M+K))) + maxBound = np.hstack((np.repeat(np.sqrt(500/R), M*R+K*R), np.repeat(50, M+K))) + res = sp.optimize.minimize(x0=x, + fun=Euv, + jac=gradEuv, + args=par_uv, + method='L-BFGS-B', + options={'maxiter': opt_iter}, + bounds=tuple(zip(minBound, maxBound))) + + if not res.success: + cost[iter_] = None + raise ValueError("Problems in optimization. Try a new initialization.") + # terminate the algorithm (next model to learn) + + x = res.x + U = x[par_uv['getu']].reshape(par_uv['M'], par_uv['R']) + V = x[par_uv['getv']].reshape(par_uv['K'], par_uv['R']) + u_mu = x[par_uv['getumean']] + v_mu = x[par_uv['getvmean']] + alpha = np.exp(np.dot(U, V.T) + np.outer(u_mu, np.ones(K)) + np.outer(np.ones(M), v_mu)) + + # + # Update tau, the noise precisions + # + for m in range(M): + b_tau[m] = prior_beta_0t + (Yconst[m] + np.sum(WW[m] * ZZ) - 2 * np.sum(Z * Y[m].dot(W[m]))) / 2 + + tau = a_tau / b_tau + + # + # Calculate the lower bound. + # Consists of calculating the likelihood term and KL-divergences between the + # factorization and the priors + # + logtau = digammaa_tau - np.log(b_tau) + if R == "full": + for m in range(M): + logalpha[m, :] = digammaa_ard[m] - np.log(b_ard[m, :]) + else: + logalpha = np.log(alpha) + + lb_p = const + N * np.dot(D.T, logtau) / 2 - np.dot((b_tau - beta_0t).T, tau) + lb = lb_p + + # E[ ln p(Z) ] - E[ ln q(Z) ] + lb_px = -np.sum(np.diag(ZZ)) / 2 + lb_qx = -N * lb_qx / 2 - N * K / 2 + lb = lb + lb_px - lb_qx + + # E[ ln p(W) ] - E[ ln q(W) ] + if R == "full": + lb_pw = 0 + for m in range(M): + lb_pw = lb_pw + D[m] / 2 * np.sum(logalpha[m, :]) - np.sum(np.diag(WW[m]) * alpha[m, :]) / 2 + else: + lb_pw = Euv(x, par_uv) # TODO: Correct? + + for m in range(M): + lb_qw[m] = - D[m] * lb_qw[m] / 2 - D[m] * K / 2 + + lb = lb + lb_pw - np.sum(lb_qw) + + # E[ ln p(alpha) ] - E[ ln q(alpha) ] + if R == "full": + lb_pa = M * K * (-sp.special.gammaln(alpha_0) + alpha_0 * np.log(beta_0)) + (alpha_0 - 1) * np.sum(logalpha) - beta_0 * np.sum(alpha) + lb_qa = -K * np.sum(sp.special.gammaln(a_ard)) + np.sum(a_ard * np.sum(np.log(b_ard), axis=1)) + np.sum((a_ard - 1) * np.sum(logalpha, axis=1)) - np.sum(b_ard * alpha) + lb = lb + lb_pa - lb_qa + + # E[ln p(tau) ] - E[ ln q(tau) ] + lb_pt = lb_pt_const + np.sum((alpha_0t - 1) * logtau) - np.sum(beta_0t * tau) + lb_qt = lgammaa_tau + np.dot(a_tau.T, np.log(b_tau)) + np.dot((a_tau - 1).T, logtau) - np.dot(b_tau.T, tau) + lb = lb + lb_pt - lb_qt + + # Store the cost function + cost.append(lb) + + if verbose == 2: + print("Iteration: %d/ cost: %d/ K: %d" % (iter_, cost[len(cost)-1], K)) + # Convergence if the relative change in cost is small enough + if iter_ > 0: + diff = cost[iter_] - cost[iter_-1] + if abs(diff)/abs(cost[iter_]) < iter_crit or iter_ == iter_max: + break + + # Add a tiny amount of noise on top of the latent variables, + # to supress possible artificial structure in components that + # have effectively been turned off + Z += addednoise*np.random.randn(N, K).dot(sp.linalg.cholesky(covZ, lower=False)) + + if R == "full": + return {'W': W, 'covW': covW, 'ZZ': ZZ, 'WW': WW, 'Z': Z, 'covZ': covZ, \ + 'tau': tau, 'alpha': alpha, 'cost': cost, 'D': D, 'K': K, \ + 'addednoise': addednoise, 'datavar': datavar, 'iter': iter_, 'R': R} + else: + return {'W': W, 'covW': covW, 'ZZ': ZZ, 'WW': WW, 'Z': Z, 'covZ': covZ, \ + 'tau': tau, 'alpha': alpha, 'cost': cost, 'D': D, 'K': K, \ + 'addednoise': addednoise, 'datavar': datavar, 'iter': iter_, 'R': R, \ + 'U': U, 'V': V, 'u_mu': u_mu, 'v_mu': v_mu} + + +def E(r, K, D, Ds, N, WW, ZZ, M): + """ + Evaluates the (negative) cost function valule wrt the transformation + matrix R used in the generic optimization routine + + `r` is the flattened array of the rotation matrix R (see ICML11 paper) + """ + R = np.array(r).reshape(K, K) + (U, d, V) = np.linalg.svd(R) + + tmp = U*np.outer(np.ones(K), 1/d) + val = -np.sum(ZZ*np.dot(tmp, tmp.T))/2 + val = val + (Ds-N)*np.sum(np.log(d)) + for m in range(M): + val = val - D[m]*np.sum( np.log( (R*(WW[m].dot(R))).mean(axis=0) ) ) + return -val + + +def gradE(r, K, D, Ds, N, WW, ZZ, M): + """ + Evaluates the (negative) gradient of the cost of the function E() + """ + R = np.array(r).reshape(K, K) + U, d, V = np.linalg.svd(R) + Rinv = np.dot( V*np.outer(np.ones(K), 1/(d**2)), U.T ) + gr_tmp = np.dot( U*np.outer(np.ones(K), 1/(d**2)), U.T ).dot(ZZ) \ + + np.diag(np.ones(K)*(Ds-N)) + gr = np.dot(gr_tmp, Rinv.T).flatten() + + tmp1 = WW[0].dot(R) + tmp2 = 1/(R*tmp1).mean(axis=0) + tmp1 = D[0] * (tmp1*np.outer(np.ones(K), tmp2)).flatten() + gr = gr - tmp1 + for m in range(1, M): + tmp1 = WW[m].dot(R) + tmp2 = 1/(R*tmp1).mean(axis=0) + tmp1 = D[m] * (tmp1*np.outer(np.ones(K), tmp2)).flatten() + gr = gr - tmp1 + return -gr + +def Euv(x, par): + # + # Evaluates the cost function value wrt the low-rank + # factorization of alpha used in the generic optimization routine + U = x[par['getu']].reshape(par['M'], par['R']) + V = x[par['getv']].reshape(par['K'], par['R']) + u_mu = x[par['getumean']] + v_mu = x[par['getvmean']] + logalpha = np.dot(U, V.T) + np.outer(u_mu, np.ones(par['K'])) + np.outer(np.ones(par['M']), v_mu) + E = np.sum(np.dot(par['D'].T, logalpha)) - np.sum(par['w2'] * np.exp(logalpha)) + if par['lambda'] != 0: + E = E - par['lambda'] * (np.sum(V ** 2) + np.sum(U ** 2)) + + return -E / 2 + +def gradEuv(x, par): + # + # Evaluates the gradient of the cost function Euv() + # + U = x[par['getu']].reshape(par['M'], par['R']) + V = x[par['getv']].reshape(par['K'], par['R']) + u_mu = x[par['getumean']] + v_mu = x[par['getvmean']] + alphaiAlphaw2 = np.outer(par['D'], np.ones(par['K'])) - np.exp(np.dot(U, V.T) + np.outer(u_mu, np.ones(par['K'])) + np.outer(np.ones(par['M']), v_mu)) * par['w2'] + gradU = alphaiAlphaw2.dot(V) + gradV = np.dot(alphaiAlphaw2.T, U) + if par['lambda'] != 0: + gradU = gradU - par['lambda'] * 2 * U + gradV = gradV - par['lambda'] * 2 * V + + grad_umean = np.sum(alphaiAlphaw2, axis=1) + grad_vmean = np.sum(alphaiAlphaw2, axis=0) + grad = np.hstack((gradU.flatten(), gradV.flatten(), grad_umean, grad_vmean)) + + return -grad / 2 + +def gfa_prediction(pred, y, model, sample=False, nSample=100): + # Function for making predictions with the model. Gives the + # mean prediction and the mean and covariance of the latent + # variables. The predictive distribution itself does not have + # a closed-form expression, so the function also allows drawing + # samples from it. + # + # Inputs: + # pred: Binary vector of length 2, indicating which of the + # two data sets have been observed. (1,0) indicates + # we observe the first data set and want to predict + # the values for the latter, and (0,1) does the opposite. + # Using (1,1) allows computing the latent variables + # for new test samples where both views are observed. + # Y : The test data as a list of length 2, given in the + # same format as for the function GFA(). The data + # matrix for the missing views can be anything, e.g. + # zeros, but it needs to exist + # model: A model learned from training data using GFA() + # sample: Should we sample observations from the full predictive + # distribution? + # nSample: How many samples to draw if sample==TRUE + # + # + # Outputs: + # A list containing: + # Y : The mean predictions as list. Observed data sets are retained + # as they were. + # Z : Mean latent variables of the test samples, given the observed + # data; N times K matrix + # covZ : Covariance of the latent variables; K times K matrix + # sam : Samples drawn from the predictive distribution, only + # returned if sample==TRUE. A list of Z, W and Y. + # Z is nSample times N times K matrix of the samples values. + # W and Y are M-element lists where only the predicted + # views are included (to avoid storing nSample identical + # copies of the observed data), each being a multidimensional + # array of nSample times the size of W and Y, respectively. + + (tr, ) = np.where(pred == 1) # The observed data sets + (pr, ) = np.where(pred == 0) # The data sets that need to be predicted + + Y = map(np.copy, y) + + N = Y[tr[0]].shape[0] + M = len(model['D']) + + if isinstance(model['covW'], np.ndarray): # R: if (!is.null(dim(model$covW))) ? + model['covW'] = []; + for m in range(M): + model['covW'][m] = (model['WW'][m] - np.dot(model['W'][m].T, model['W'][m])) / model['D'][m] + + # Estimate the covariance of the latent variables + covZ = np.eye(model['K']) + for m in tr: + covZ = covZ + model['tau'][m] * model['WW'][m] + + # Estimate the latent variables + (eV, eW) = np.linalg.eigh(covZ) + covZ = np.dot(eW * np.outer(np.repeat(1, model['K']), 1 / eV), eW.T) + Z = np.zeros((N, model['K'])) + for m in tr: + Z = Z + Y[m].dot(model['W'][m]) * model['tau'][m] + + Z = Z.dot(covZ) + + # Add a tiny amount of noise on top of the latent variables, + # to supress possible artificial structure in components that + # have effectively been turned off + Z = Z + model['addednoise'] * np.random.randn(N, model['K']).dot(sp.linalg.cholesky(covZ, lower=False)) + + # The prediction + # NOTE: The ICML'11 paper has a typo in the prediction formula + # on page 5. The mean prediction should have W_2^T instead of W_2. + for m in pr: + Y[m] = np.dot(Z, model['W'][m].T) + + # Sample from the predictive distribution + # Note that this code is fairly slow fow large nSample + if sample: + sam = {} + sam['Z'] = np.zeros((model['K'], nSample, N)) + sam['Y'] = [None] * M + sam['W'] = [None] * M + cholW = [None] * M + for m in pr: + cholW[m] = sp.linalg.cholesky(model['covW'][m], lower=False) + sam['W'][m] = np.zeros((model['K'], nSample, model['D'][m])) + sam['Y'][m] = np.zeros((model['D'][m], nSample, N)) + + cholZ = sp.linalg.cholesky(covZ, lower=False) + for i in range(nSample): + Ztemp = Z + np.random.randn(N, model['K']).dot(cholZ) + # TODO: A bit unsure of this step, indexing in R and python are different + # Used transpose of what the R code said since dimensions were different in python + sam['Z'][:, i, :] = Ztemp.T + for m in pr: + Wtemp = model['W'][m] + np.random.randn(model['D'][m], model['K']).dot(cholW[m]) + sam['W'][m][:, i, :] = Wtemp.T + var = 1 / np.sqrt(model['tau'][m]) + sam['Y'][m][:, i, :] = (np.dot(Ztemp, Wtemp.T) + var * np.random.randn(N, model['D'][m])).T + + if sample: + return {'Y': Y, 'Z': Z, 'covZ': covZ, 'sam': sam} + else: + return {'Y': Y, 'Z': Z, 'covZ': covZ} \ No newline at end of file diff --git a/examples/ism_utils.py b/examples/ism_utils.py new file mode 100644 index 0000000..0936d57 --- /dev/null +++ b/examples/ism_utils.py @@ -0,0 +1,67 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt + +def specificity_score(df_w): + n_themes = (df_w.shape[1]-1) + k = np.unique(df_w['list_cell_codes']).shape[0] + means_within = np.zeros(n_themes) + means_outside = np.zeros(n_themes) + specificity = np.zeros((k,n_themes)) + group_means = df_w.iloc[:, 0:n_themes+1].groupby('list_cell_codes').mean() + for i in range(k): + for j in range(n_themes): + means_within[j] = group_means.iloc[i,j] + means_outside[j] = np.mean(np.hstack((group_means.iloc[:i-1,j],group_means.iloc[i+1:,j]))) + + specificity[i,:] = (means_within - means_outside) / np.max(means_within) + # specificity[specificity<0] = 0 + + means_within_outside = np.hstack((means_within[:,np.newaxis], + means_outside[:,np.newaxis], specificity[i,:][:,np.newaxis])) + + if i==0: + df_means_within_outside = pd.DataFrame(means_within_outside.copy()) + df_means_within_outside.insert(0, 'cell_type', i) + df_means_within_outside.insert(0, 'id', range(n_themes)) + else: + df_means_within_outside_2 = pd.DataFrame(means_within_outside.copy()) + df_means_within_outside_2.insert(0, 'cell_type', i) + df_means_within_outside_2.insert(0, 'id', range(n_themes)) + df_means_within_outside = pd.concat([df_means_within_outside, df_means_within_outside_2], ignore_index=True) + + df_means_within_outside.columns = ['id', 'cell_type', 'within', 'outside', 'specificity'] + df_means_within_outside['cell_type'] = df_means_within_outside['cell_type'].astype('category') + df_means_within_outside['id'] = df_means_within_outside['id'].astype('category') + + return specificity, df_means_within_outside + +def specificity_plot(df_means_within_outside): + x = df_means_within_outside['outside'] + y = df_means_within_outside['within'] + z = df_means_within_outside['cell_type'] + ids = df_means_within_outside['id'] + + # Create subplots for each category of z + unique_categories = np.unique(z) + num_categories = len(unique_categories) + + fig, axs = plt.subplots(1, num_categories, figsize=(14, 2), sharex=False, sharey=False) + + for i, category in enumerate(unique_categories): + mask = (z == category) + min_val = .95*min(x[mask].min(), y[mask].min()) + min_val = 0 + max_val = 1.05*max(x[mask].max(), y[mask].max()) + axs[i].scatter(x[mask], y[mask], label=f'Category {category}') + axs[i].plot([min_val, max_val], [min_val, max_val], ls='--', c='r') # Add the diagonal line (identity line) + # for ii, row in enumerate(ids[mask]): + # axs[i].text(x[ii], y[ii], row, fontsize=8) + axs[i].set_xlim(min_val, max_val) + axs[i].set_ylim(min_val, max_val) + axs[i].set_title(f'Cell type ({category})') + axs[i].set_xlabel('Outside') + axs[i].set_ylabel('Within') + + plt.tight_layout() + plt.show() diff --git a/examples/mowgli_ilsm.ipynb b/examples/mowgli_ilsm.ipynb new file mode 100644 index 0000000..4aaff2b --- /dev/null +++ b/examples/mowgli_ilsm.ipynb @@ -0,0 +1,806 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --upgrade torch==1.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mowgli" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n" + ] + }, + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import adjusted_rand_score\n", + "from sklearn.metrics.cluster import normalized_mutual_info_score\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn import metrics\n", + "import sklearn.decomposition\n", + "import umap\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "import muon as mu\n", + "\n", + "import torch\n", + "from torchnmf.nmf import NMF\n", + "from mowgli import models\n", + "from mofapy2.run.entry_point import entry_point\n", + "from ism_utils import specificity_score, specificity_plot\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'\n", + "\n", + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the data.\n", + "mdata = mu.read_h5mu(DATA_PATH+'tea_preprocessed.h5mu')\n", + "Xs = [mdata[\"rna\"].X, mdata[\"atac\"].X, mdata[\"adt\"].X]\n", + "\n", + "sample_rate = 1\n", + "\n", + "if sample_rate < 1:\n", + " num_rows = Xs[0].shape[0]\n", + " num_rows_to_select = int(num_rows * sample_rate)\n", + " selected_rows = np.random.choice(num_rows, num_rows_to_select, replace=False)\n", + "\n", + " for i in range(len(Xs)):\n", + " Xs[i] = Xs[i][selected_rows]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 3 views.\n", + "There are 7084 observations\n", + "The feature sizes are: [2500, 15000, 46]\n" + ] + } + ], + "source": [ + "# to be defined by the clustering itself at the end of the workflow\n", + "# list_cell_codes, list_cell_types = pd.factorize(df.iloc[:,0])\n", + "\n", + "\n", + "score_pref = ['rna', 'atac', 'adt']\n", + "n_scores = len(score_pref)\n", + "n_items = [x.shape[1] for x in Xs]\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[X.shape[1] for X in Xs]}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Integrated NMF" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 15%|█▌ | 30/200 [00:19<01:48, 1.57it/s, loss=3.28e+3]\n" + ] + } + ], + "source": [ + "# Define the NMF model.\n", + "n_themes = 30\n", + "n_themes = 31\n", + "\n", + "np.random.seed(4)\n", + "w = np.random.rand(Xs[0].shape[0], n_themes)\n", + "h = np.random.rand(sum(n_items), n_themes)\n", + "model = NMF(mdata.shape, rank=n_themes, W=torch.Tensor(w), H=torch.Tensor(h))\n", + "\n", + "# Fit the NMF model.\n", + "tensors = []\n", + "if \"rna\" in mdata.mod:\n", + " tensors.append(torch.Tensor(mdata[\"rna\"].X))\n", + " n_rna = mdata[\"rna\"].n_vars\n", + "if \"atac\" in mdata.mod:\n", + " tensors.append(torch.Tensor(mdata[\"atac\"].X))\n", + " n_atac = mdata[\"atac\"].n_vars\n", + "if \"adt\" in mdata.mod:\n", + " tensors.append(torch.Tensor(mdata[\"adt\"].X))\n", + "\n", + "model.fit(torch.hstack(tensors), beta=2, verbose=True)\n", + "\n", + "w_intnmf = model.H.detach().numpy()\n", + "\n", + "# Xs_concat = Xs[0].copy()\n", + "# for X in Xs[1:]: \n", + "# Xs_concat = np.hstack((Xs_concat, X))\n", + "\n", + "# my_nmfmodel = sklearn.decomposition.NMF(n_components=n_themes, init='nndsvda', solver='cd', beta_loss='frobenius', max_iter=200, random_state=0)\n", + "# w_intnmf = my_nmfmodel.fit_transform(Xs_concat.copy())\n", + "# h_intnmf = my_nmfmodel.components_.T\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Get truth labels from intnmf\n", + "n_themes = w_intnmf.shape[1]\n", + "kmeans = KMeans(n_clusters=7, random_state=0).fit(w_intnmf)\n", + "# Get the cluster labels and centroids\n", + "list_cell_codes_intnmf = kmeans.labels_ # Get cluster labels\n", + "\n", + "df_w_intnmf = pd.DataFrame(np.column_stack((w_intnmf, list_cell_codes_intnmf)))\n", + "df_w_intnmf.columns = ['theme_' + str(i) for i in range(1, n_themes + 1)] + ['list_cell_codes']\n", + "\n", + "df_w_intnmf.to_csv(RESULTS_PATH + r'\\mowgli_w_intnmf.csv', sep=',', na_rep='.',index=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Mowgli (failed)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "n_themes = 15\n", + "# Define the Mowgli model.\n", + "model = models.MowgliModel(\n", + " eps=0.05,\n", + " latent_dim=n_themes,\n", + " h_regularization={\n", + " \"rna\": 0.01,\n", + " \"atac\": 0.1,\n", + " \"adt\": 0.01,\n", + " },\n", + " w_regularization=0.001,\n", + ")\n", + "\n", + "# Fit the Mowgli model.\n", + "model.train(\n", + " mdata,\n", + " max_iter_inner=10_000,\n", + " max_iter=100,\n", + " device=\"cuda\",\n", + " dtype=torch.double,\n", + " lr=1,\n", + " tol_inner=1e-12,\n", + " tol_outer=1e-4,\n", + " optim_name=\"lbfgs\",\n", + " normalize_rows=False,\n", + ")\n", + "\n", + "w_mowgli = mdata.obsm[\"W_OT\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "MOFA+" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " #########################################################\n", + " ### __ __ ____ ______ ### \n", + " ### | \\/ |/ __ \\| ____/\\ _ ### \n", + " ### | \\ / | | | | |__ / \\ _| |_ ### \n", + " ### | |\\/| | | | | __/ /\\ \\_ _| ###\n", + " ### | | | | |__| | | / ____ \\|_| ###\n", + " ### |_| |_|\\____/|_|/_/ \\_\\ ###\n", + " ### ### \n", + " ######################################################### \n", + " \n", + " \n", + " \n", + "View names not provided, using default naming convention:\n", + "- view1, view2, ..., viewM\n", + "\n", + "Features names not provided, using default naming convention:\n", + "- feature1_view1, featureD_viewM\n", + "\n", + "Groups names not provided, using default naming convention:\n", + "- group1, group2, ..., groupG\n", + "\n", + "Samples names not provided, using default naming convention:\n", + "- sample1_group1, sample2_group1, sample1_group2, ..., sampleN_groupG\n", + "\n", + "Successfully loaded view='view0' group='group0' with N=7084 samples and D=2500 features...\n", + "Successfully loaded view='view1' group='group0' with N=7084 samples and D=15000 features...\n", + "Successfully loaded view='view2' group='group0' with N=7084 samples and D=46 features...\n", + "\n", + "\n", + "Warning: 2 features(s) in view 1 have zero variance, consider removing them before training the model...\n", + "\n", + "Model options:\n", + "- Automatic Relevance Determination prior on the factors: False\n", + "- Automatic Relevance Determination prior on the weights: True\n", + "- Spike-and-slab prior on the factors: False\n", + "- Spike-and-slab prior on the weights: False\n", + "Likelihoods:\n", + "- View 0 (view0): gaussian\n", + "- View 1 (view1): gaussian\n", + "- View 2 (view2): gaussian\n", + "\n", + "\n", + "\n", + "GPU mode is activated, but GPU not found... switching to CPU mode\n", + "For GPU mode, you need:\n", + "1 - Make sure that you are running MOFA+ on a machine with an NVIDIA GPU\n", + "2 - Install CUPY following instructions on https://docs-cupy.chainer.org/en/stable/install.html\n", + "\n", + "\n", + "\n", + "######################################\n", + "## Training the model with seed 1 ##\n", + "######################################\n", + "\n", + "\n", + "ELBO before training: -1299628157.40 \n", + "\n", + "Iteration 1: time=74.40, ELBO=-174654635.29, deltaELBO=1124973522.114 (86.56118411%), Factors=14\n", + "Iteration 2: time=64.07, ELBO=-174266181.04, deltaELBO=388454.246 (0.02988965%), Factors=13\n", + "Iteration 3: time=49.20, ELBO=-174158048.99, deltaELBO=108132.054 (0.00832023%), Factors=13\n", + "Iteration 4: time=47.68, ELBO=-174137349.67, deltaELBO=20699.314 (0.00159271%), Factors=13\n", + "Iteration 5: time=47.70, ELBO=-174129341.93, deltaELBO=8007.742 (0.00061616%), Factors=13\n", + "Iteration 6: time=52.00, ELBO=-174121233.52, deltaELBO=8108.411 (0.00062390%), Factors=13\n", + "Iteration 7: time=52.10, ELBO=-174110878.85, deltaELBO=10354.676 (0.00079674%), Factors=13\n", + "Iteration 8: time=52.32, ELBO=-174098409.06, deltaELBO=12469.782 (0.00095949%), Factors=13\n", + "Iteration 9: time=52.17, ELBO=-174088089.06, deltaELBO=10320.003 (0.00079407%), Factors=13\n", + "Iteration 10: time=49.02, ELBO=-174082050.51, deltaELBO=6038.553 (0.00046464%), Factors=13\n", + "Iteration 11: time=49.04, ELBO=-174078498.75, deltaELBO=3551.759 (0.00027329%), Factors=13\n", + "Iteration 12: time=49.21, ELBO=-174075933.32, deltaELBO=2565.429 (0.00019740%), Factors=13\n", + "Iteration 13: time=48.81, ELBO=-174073804.33, deltaELBO=2128.987 (0.00016382%), Factors=13\n", + "Iteration 14: time=46.39, ELBO=-174071934.36, deltaELBO=1869.970 (0.00014389%), Factors=13\n", + "Iteration 15: time=45.29, ELBO=-174070254.32, deltaELBO=1680.040 (0.00012927%), Factors=13\n", + "Iteration 16: time=46.31, ELBO=-174068727.98, deltaELBO=1526.344 (0.00011744%), Factors=13\n", + "Iteration 17: time=47.55, ELBO=-174067331.29, deltaELBO=1396.684 (0.00010747%), Factors=13\n", + "Iteration 18: time=49.15, ELBO=-174066046.16, deltaELBO=1285.138 (0.00009889%), Factors=13\n", + "Iteration 19: time=55.41, ELBO=-174064858.09, deltaELBO=1188.063 (0.00009142%), Factors=13\n", + "Iteration 20: time=68.17, ELBO=-174063755.24, deltaELBO=1102.849 (0.00008486%), Factors=13\n", + "Iteration 21: time=68.42, ELBO=-174062727.78, deltaELBO=1027.465 (0.00007906%), Factors=13\n", + "Iteration 22: time=68.44, ELBO=-174061767.51, deltaELBO=960.268 (0.00007389%), Factors=13\n", + "Iteration 23: time=60.80, ELBO=-174060867.60, deltaELBO=899.911 (0.00006924%), Factors=13\n", + "Iteration 24: time=49.82, ELBO=-174060022.32, deltaELBO=845.283 (0.00006504%), Factors=13\n", + "Iteration 25: time=49.10, ELBO=-174059226.84, deltaELBO=795.478 (0.00006121%), Factors=13\n", + "Iteration 26: time=49.37, ELBO=-174058477.08, deltaELBO=749.758 (0.00005769%), Factors=13\n", + "Iteration 27: time=49.13, ELBO=-174057769.55, deltaELBO=707.529 (0.00005444%), Factors=13\n", + "Iteration 28: time=49.27, ELBO=-174057101.23, deltaELBO=668.320 (0.00005142%), Factors=13\n", + "Iteration 29: time=48.55, ELBO=-174056469.48, deltaELBO=631.756 (0.00004861%), Factors=13\n", + "Iteration 30: time=46.60, ELBO=-174055871.93, deltaELBO=597.545 (0.00004598%), Factors=13\n", + "\n", + "Converged!\n", + "\n", + "\n", + "\n", + "#######################\n", + "## Training finished ##\n", + "#######################\n", + "\n", + "\n" + ] + } + ], + "source": [ + "Xs_norm = Xs.copy()\n", + "scaler = StandardScaler()\n", + "for i in range(len(Xs)):\n", + " Xs_norm[i] = Xs[i] - np.mean(Xs[i], axis=0)\n", + " Xs_norm[i] = scaler.fit_transform(Xs_norm[i])\n", + "\n", + "data_mat = [[None for g in range(1)] for m in range(n_scores)]\n", + "\n", + "for m in range(n_scores):\n", + " data_mat[m][0] = Xs_norm[m]\n", + " \n", + "ent = entry_point()\n", + "ent.set_data_matrix(data_mat, likelihoods = [\"gaussian\" for _ in range(3)])\n", + "ent.set_model_options(\n", + " factors = 15, \n", + " spikeslab_weights = False, \n", + " ard_weights = True\n", + ")\n", + "ent.set_train_options(\n", + " convergence_mode = \"medium\", \n", + " dropR2 = 0.001, \n", + " gpu_mode = True, \n", + " seed = 1\n", + ")\n", + "ent.build()\n", + "ent.run()\n", + "w_mofa = ent.model.nodes[\"Z\"].getExpectation()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "n_themes = w_mofa.shape[1]*2\n", + "\n", + "# Get truth labels from mofa\n", + "kmeans = KMeans(n_clusters=7, random_state=0).fit(w_mofa)\n", + "# Get the cluster labels and centroids\n", + "list_cell_codes_mofa = kmeans.labels_ # Get cluster labels\n", + "\n", + "w_mofa_posneg = np.zeros((w_mofa.shape[0],2*w_mofa.shape[1]))\n", + "w_mofa_posneg[:, :w_mofa.shape[1]] = w_mofa.copy()\n", + "w_mofa_posneg[:, :w_mofa.shape[1]][w_mofa_posneg[:, :w_mofa.shape[1]]<0] = 0\n", + "\n", + "w_mofa_posneg[:, w_mofa.shape[1]:] = -w_mofa.copy()\n", + "w_mofa_posneg[:, w_mofa.shape[1]:][w_mofa_posneg[:, w_mofa.shape[1]:]<0] = 0\n", + "\n", + "df_w_mofa_posneg = pd.DataFrame(np.column_stack((w_mofa_posneg, list_cell_codes_mofa)))\n", + "df_w_mofa_posneg.columns = ['theme_' + str(i) for i in range(1, n_themes + 1)] + ['list_cell_codes']\n", + "\n", + "df_w_mofa_posneg.to_csv(RESULTS_PATH + r'\\mowgli_w_mofa_posneg.csv', sep=',', na_rep='.',index=True)\n", + "n_themes = 7\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using scikit-learn NMF...\n", + "error ism before straightening: 0.26\n", + "Straightening:\n", + "error ism after straightening: 0.26\n", + "error ilsm: 1.73\n", + "condition number(6, 7) = 17.46\n", + "calinski_harabasz_score: 4439.517945338068\n", + "Silhouette Score: 0.4712988629994166\n" + ] + } + ], + "source": [ + "n_embedding, n_themes = [6,7]\n", + "\n", + "ilsm_result = ilsm.ilsm(Xs, n_embedding, n_themes, norm_columns=1, update_h_ism=True, max_iter=200, max_iter_integrate=0,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8, use_scikit_NMF=True)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n", + "\n", + "cluster = np.argmax(w4_ism, axis=1)+1\n", + "calinski_harabasz_score = metrics.calinski_harabasz_score(w4_ism, cluster)\n", + "print(f'calinski_harabasz_score: {calinski_harabasz_score}')\n", + "silhouette_score = metrics.silhouette_score(w4_ism, cluster, metric='euclidean')\n", + "print(f'Silhouette Score: {silhouette_score}')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# Get truth labels from ism\n", + "n_themes = w4_ism.shape[1]\n", + "kmeans = KMeans(n_clusters=7, random_state=0).fit(w4_ism)\n", + "# Get the cluster labels and centroids\n", + "list_cell_codes_ism = kmeans.labels_ # Get cluster labels\n", + "\n", + "df_w_ism = pd.DataFrame(np.column_stack((w4_ism, list_cell_codes_ism)))\n", + "df_w_ism.columns = ['theme_' + str(i) for i in range(1, n_themes + 1)] + ['list_cell_codes']\n", + "\n", + "df_w_ism.to_csv(RESULTS_PATH + r'\\mowgli_w_ism.csv', sep=',', na_rep='.',index=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# get truth labels from saved file\n", + "df_mowgli_annotation = pd.read_csv(RESULTS_PATH + r'mowgli_w_mofa_posneg.csv', na_values=' ')\n", + "list_cell_codes = df_mowgli_annotation['list_cell_codes']\n", + "\n", + "# list_cell_codes = list_cell_codes_ism\n", + "\n", + "# mds = MDS(n_components=2, random_state=0)\n", + "mds = umap.UMAP(n_components=2, random_state=0)\n", + "\n", + "stress = []\n", + "w4_ism_mds = mds.fit_transform(w4_ism)\n", + "# w4_ism_mds = mds.fit_transform(w_mofa)\n", + "# w4_ism_mds = mds.fit_transform(w_intnmf[selected_rows,:])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6 5.13\n", + "0.8675\n", + "0.8524\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(7)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "list_cell_types = [str(num) for num in range(7)]\n", + "\n", + "patches = []\n", + "for code in range(7):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + " \n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(cell_label, xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes, cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " # ax.set_xlabel(\"MDS-1\")\n", + " # ax.set_ylabel(\"MDS-2\")\n", + " ax.set_xlabel(\"UMAP-1\")\n", + " ax.set_ylabel(\"UMAP-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 2.5:\n", + " flag[l] = 1\n", + "\n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " # if p1[l] > .5 and p2[l] > .5:\n", + " if p2[l] > 0.5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(adjusted_rand_score(labels_matched, list_cell_codes),4)) \n", + " print(round(normalized_mutual_info_score(list_cell_codes, labels_matched),4)) \n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=7\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (7-class)\", k=k, ax=ax)\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.41967626 0.01175378 -0.20670917 -0.33502068 0.81796259 -0.29743213\n", + " -0.00593959]\n", + " [ 0.80683844 -0.24181927 -0.28461761 -0.2575844 -0.02632838 -0.37120725\n", + " -0.1601919 ]\n", + " [-0.18165472 0.79019573 0.13382509 -0.2999663 -0.01109875 -0.42649466\n", + " -0.34979684]\n", + " [-0.23680256 -0.07849884 -0.16654978 0.94443173 -0.10594384 -0.27496723\n", + " -0.05682901]\n", + " [ 0.70871771 -0.23981412 -0.19426626 0.06443841 -0.21240677 -0.46669508\n", + " -0.13697451]\n", + " [-0.22707564 0.07559304 0.80543116 -0.29725477 -0.16310961 0.29172969\n", + " -0.37846595]\n", + " [-0.25942404 -0.1403389 -0.0234896 -0.16491092 -0.08815245 0.95869993\n", + " 0.66748339]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_w4_ism = pd.DataFrame(w4_ism)\n", + "df_w4_ism['list_cell_codes'] = list_cell_codes\n", + "specificity, df_means_within_outside = specificity_score(df_w4_ism)\n", + "print(specificity)\n", + "specificity_plot(df_means_within_outside)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/prokaryotic_ilsm.ipynb b/examples/prokaryotic_ilsm.ipynb new file mode 100644 index 0000000..340b4b3 --- /dev/null +++ b/examples/prokaryotic_ilsm.ipynb @@ -0,0 +1,726 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n", + "Requirement already satisfied: torch==1.9.0+cu111 in c:\\users\\paul_\\onedrive\\pro\\george\\adilsm\\adilsm\\adilsm\\.venv\\lib\\site-packages (1.9.0+cu111)\n", + "Requirement already satisfied: typing-extensions in c:\\users\\paul_\\onedrive\\pro\\george\\adilsm\\adilsm\\adilsm\\.venv\\lib\\site-packages (from torch==1.9.0+cu111) (4.11.0)\n" + ] + } + ], + "source": [ + "# !pip install --upgrade torch==1.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mowgli" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n" + ] + }, + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import adjusted_rand_score\n", + "from sklearn.metrics.cluster import normalized_mutual_info_score\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn import metrics\n", + "import sklearn.decomposition\n", + "import umap\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "import muon as mu\n", + "\n", + "import torch\n", + "from torchnmf.nmf import NMF\n", + "from mowgli import models\n", + "from mofapy2.run.entry_point import entry_point\n", + "from ism_utils import specificity_score, specificity_plot\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'\n", + "\n", + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the data for ism\n", + "import scipy.io\n", + "mat = scipy.io.loadmat(DATA_PATH+'prokaryotic.mat')\n", + "Xs = [mat[\"text\"], -mat[\"text\"], mat[\"proteome_comp\"], -mat[\"proteome_comp\"], mat[\"gene_repert\"], -mat[\"gene_repert\"]]\n", + "list_cell_codes = np.array(mat[\"truth\"].flatten().tolist()) - 1\n", + "score_pref = ['text+', 'text-', 'proteome_comp+', 'proteome_comp-' 'gene_repert+', 'gene_repert-']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the data for mofa\n", + "import scipy.io\n", + "mat = scipy.io.loadmat(DATA_PATH+'prokaryotic.mat')\n", + "Xs = [mat[\"text\"], mat[\"proteome_comp\"], mat[\"gene_repert\"]]\n", + "list_cell_codes = np.array(mat[\"truth\"].flatten().tolist()) - 1\n", + "score_pref = ['text', 'proteome_comp', 'gene_repert']\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 6 views.\n", + "There are 551 observations\n", + "The feature sizes are: [438, 438, 3, 3, 393, 393]\n" + ] + } + ], + "source": [ + "# to be defined by the clustering itself at the end of the workflow\n", + "# list_cell_codes, list_cell_types = pd.factorize(df.iloc[:,0])\n", + "\n", + "n_scores = len(score_pref)\n", + "n_items = [x.shape[1] for x in Xs]\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[X.shape[1] for X in Xs]}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Mowgli (failed)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "n_themes = 8\n", + "# Define the Mowgli model.\n", + "model = models.MowgliModel(\n", + " eps=0.05,\n", + " latent_dim=n_themes,\n", + " h_regularization={\n", + " \"rna\": 0.01,\n", + " \"atac\": 0.1,\n", + " \"adt\": 0.01,\n", + " },\n", + " w_regularization=0.001,\n", + ")\n", + "\n", + "# Fit the Mowgli model.\n", + "model.train(\n", + " mdata,\n", + " max_iter_inner=10_000,\n", + " max_iter=100,\n", + " device=\"cuda\",\n", + " dtype=torch.double,\n", + " lr=1,\n", + " tol_inner=1e-12,\n", + " tol_outer=1e-4,\n", + " optim_name=\"lbfgs\",\n", + " normalize_rows=False,\n", + ")\n", + "\n", + "w_mowgli = mdata.obsm[\"W_OT\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "MOFA+" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " #########################################################\n", + " ### __ __ ____ ______ ### \n", + " ### | \\/ |/ __ \\| ____/\\ _ ### \n", + " ### | \\ / | | | | |__ / \\ _| |_ ### \n", + " ### | |\\/| | | | | __/ /\\ \\_ _| ###\n", + " ### | | | | |__| | | / ____ \\|_| ###\n", + " ### |_| |_|\\____/|_|/_/ \\_\\ ###\n", + " ### ### \n", + " ######################################################### \n", + " \n", + " \n", + " \n", + "View names not provided, using default naming convention:\n", + "- view1, view2, ..., viewM\n", + "\n", + "Features names not provided, using default naming convention:\n", + "- feature1_view1, featureD_viewM\n", + "\n", + "Groups names not provided, using default naming convention:\n", + "- group1, group2, ..., groupG\n", + "\n", + "Samples names not provided, using default naming convention:\n", + "- sample1_group1, sample2_group1, sample1_group2, ..., sampleN_groupG\n", + "\n", + "Successfully loaded view='view0' group='group0' with N=551 samples and D=438 features...\n", + "Successfully loaded view='view1' group='group0' with N=551 samples and D=3 features...\n", + "Successfully loaded view='view2' group='group0' with N=551 samples and D=393 features...\n", + "\n", + "\n", + "Model options:\n", + "- Automatic Relevance Determination prior on the factors: False\n", + "- Automatic Relevance Determination prior on the weights: True\n", + "- Spike-and-slab prior on the factors: False\n", + "- Spike-and-slab prior on the weights: False\n", + "Likelihoods:\n", + "- View 0 (view0): gaussian\n", + "- View 1 (view1): gaussian\n", + "- View 2 (view2): gaussian\n", + "\n", + "\n", + "\n", + "GPU mode is activated, but GPU not found... switching to CPU mode\n", + "For GPU mode, you need:\n", + "1 - Make sure that you are running MOFA+ on a machine with an NVIDIA GPU\n", + "2 - Install CUPY following instructions on https://docs-cupy.chainer.org/en/stable/install.html\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Warning: some view(s) have less than 15 features, MOFA won't be able to learn meaningful factors for these view(s)...\n", + "\n", + "\n", + "\n", + "######################################\n", + "## Training the model with seed 1 ##\n", + "######################################\n", + "\n", + "\n", + "ELBO before training: -1812737.02 \n", + "\n", + "Iteration 1: time=0.08, ELBO=-660405.25, deltaELBO=1152331.766 (63.56861218%), Factors=3\n", + "Iteration 2: time=0.08, ELBO=-660262.47, deltaELBO=142.781 (0.00787654%), Factors=3\n", + "Iteration 3: time=0.10, ELBO=-660149.75, deltaELBO=112.726 (0.00621853%), Factors=3\n", + "Iteration 4: time=0.08, ELBO=-660060.07, deltaELBO=89.678 (0.00494711%), Factors=3\n", + "Iteration 5: time=0.08, ELBO=-659984.58, deltaELBO=75.489 (0.00416439%), Factors=3\n", + "Iteration 6: time=0.08, ELBO=-659918.04, deltaELBO=66.543 (0.00367084%), Factors=3\n", + "Iteration 7: time=0.09, ELBO=-659860.58, deltaELBO=57.457 (0.00316965%), Factors=3\n", + "Iteration 8: time=0.08, ELBO=-659815.99, deltaELBO=44.593 (0.00246000%), Factors=3\n", + "Iteration 9: time=0.09, ELBO=-659784.15, deltaELBO=31.839 (0.00175642%), Factors=3\n", + "Iteration 10: time=0.07, ELBO=-659761.24, deltaELBO=22.904 (0.00126351%), Factors=3\n", + "Iteration 11: time=0.10, ELBO=-659744.24, deltaELBO=17.000 (0.00093782%), Factors=3\n", + "Iteration 12: time=0.09, ELBO=-659731.31, deltaELBO=12.938 (0.00071370%), Factors=3\n", + "Iteration 13: time=0.08, ELBO=-659721.19, deltaELBO=10.111 (0.00055780%), Factors=3\n", + "Iteration 14: time=0.08, ELBO=-659713.08, deltaELBO=8.118 (0.00044783%), Factors=3\n", + "Iteration 15: time=0.09, ELBO=-659706.39, deltaELBO=6.685 (0.00036876%), Factors=3\n", + "Iteration 16: time=0.08, ELBO=-659700.76, deltaELBO=5.633 (0.00031075%), Factors=3\n", + "Iteration 17: time=0.11, ELBO=-659695.91, deltaELBO=4.847 (0.00026739%), Factors=3\n", + "Iteration 18: time=0.07, ELBO=-659691.66, deltaELBO=4.250 (0.00023445%), Factors=3\n", + "Iteration 19: time=0.08, ELBO=-659687.87, deltaELBO=3.790 (0.00020906%), Factors=3\n", + "Iteration 20: time=0.19, ELBO=-659684.44, deltaELBO=3.431 (0.00018925%), Factors=3\n", + "Iteration 21: time=0.08, ELBO=-659681.29, deltaELBO=3.147 (0.00017363%), Factors=3\n", + "Iteration 22: time=0.08, ELBO=-659678.37, deltaELBO=2.922 (0.00016121%), Factors=3\n", + "Iteration 23: time=0.06, ELBO=-659675.63, deltaELBO=2.742 (0.00015127%), Factors=3\n", + "Iteration 24: time=0.07, ELBO=-659673.03, deltaELBO=2.597 (0.00014327%), Factors=3\n", + "Iteration 25: time=0.09, ELBO=-659670.55, deltaELBO=2.480 (0.00013681%), Factors=3\n", + "Iteration 26: time=0.08, ELBO=-659668.17, deltaELBO=2.385 (0.00013159%), Factors=3\n", + "Iteration 27: time=0.07, ELBO=-659665.86, deltaELBO=2.309 (0.00012735%), Factors=3\n", + "Iteration 28: time=0.07, ELBO=-659663.61, deltaELBO=2.246 (0.00012391%), Factors=3\n", + "Iteration 29: time=0.08, ELBO=-659661.42, deltaELBO=2.195 (0.00012111%), Factors=3\n", + "Iteration 30: time=0.07, ELBO=-659659.26, deltaELBO=2.154 (0.00011880%), Factors=3\n", + "Iteration 31: time=0.07, ELBO=-659657.14, deltaELBO=2.119 (0.00011687%), Factors=3\n", + "Iteration 32: time=0.07, ELBO=-659655.06, deltaELBO=2.089 (0.00011521%), Factors=3\n", + "Iteration 33: time=0.08, ELBO=-659652.99, deltaELBO=2.061 (0.00011371%), Factors=3\n", + "Iteration 34: time=0.07, ELBO=-659650.96, deltaELBO=2.035 (0.00011228%), Factors=3\n", + "Iteration 35: time=0.07, ELBO=-659648.95, deltaELBO=2.009 (0.00011080%), Factors=3\n", + "Iteration 36: time=0.08, ELBO=-659646.97, deltaELBO=1.980 (0.00010921%), Factors=3\n", + "Iteration 37: time=0.07, ELBO=-659645.02, deltaELBO=1.947 (0.00010740%), Factors=3\n", + "Iteration 38: time=0.07, ELBO=-659643.12, deltaELBO=1.909 (0.00010531%), Factors=3\n", + "Iteration 39: time=0.06, ELBO=-659641.25, deltaELBO=1.865 (0.00010288%), Factors=3\n", + "Iteration 40: time=0.08, ELBO=-659639.44, deltaELBO=1.814 (0.00010009%), Factors=3\n", + "Iteration 41: time=0.07, ELBO=-659637.68, deltaELBO=1.757 (0.00009693%), Factors=3\n", + "Iteration 42: time=0.07, ELBO=-659635.99, deltaELBO=1.693 (0.00009342%), Factors=3\n", + "Iteration 43: time=0.08, ELBO=-659634.36, deltaELBO=1.624 (0.00008961%), Factors=3\n", + "Iteration 44: time=0.07, ELBO=-659632.81, deltaELBO=1.551 (0.00008557%), Factors=3\n", + "Iteration 45: time=0.06, ELBO=-659631.33, deltaELBO=1.475 (0.00008138%), Factors=3\n", + "Iteration 46: time=0.07, ELBO=-659629.94, deltaELBO=1.398 (0.00007713%), Factors=3\n", + "Iteration 47: time=0.08, ELBO=-659628.61, deltaELBO=1.322 (0.00007291%), Factors=3\n", + "Iteration 48: time=0.07, ELBO=-659627.37, deltaELBO=1.247 (0.00006880%), Factors=3\n", + "Iteration 49: time=0.07, ELBO=-659626.19, deltaELBO=1.176 (0.00006486%), Factors=3\n", + "Iteration 50: time=0.08, ELBO=-659625.08, deltaELBO=1.108 (0.00006114%), Factors=3\n", + "Iteration 51: time=0.07, ELBO=-659624.04, deltaELBO=1.045 (0.00005765%), Factors=3\n", + "Iteration 52: time=0.07, ELBO=-659623.05, deltaELBO=0.986 (0.00005442%), Factors=3\n", + "Iteration 53: time=0.08, ELBO=-659622.12, deltaELBO=0.932 (0.00005144%), Factors=3\n", + "Iteration 54: time=0.07, ELBO=-659621.24, deltaELBO=0.883 (0.00004870%), Factors=3\n", + "Iteration 55: time=0.07, ELBO=-659620.40, deltaELBO=0.837 (0.00004619%), Factors=3\n", + "\n", + "Converged!\n", + "\n", + "\n", + "\n", + "#######################\n", + "## Training finished ##\n", + "#######################\n", + "\n", + "\n" + ] + } + ], + "source": [ + "Xs_norm = Xs.copy()\n", + "scaler = StandardScaler()\n", + "for i in range(len(Xs)):\n", + " Xs_norm[i] = Xs[i] - np.mean(Xs[i], axis=0)\n", + " Xs_norm[i] = scaler.fit_transform(Xs_norm[i])\n", + "\n", + "data_mat = [[None for g in range(1)] for m in range(n_scores)]\n", + "\n", + "for m in range(n_scores):\n", + " data_mat[m][0] = Xs_norm[m]\n", + " \n", + "ent = entry_point()\n", + "ent.set_data_matrix(data_mat, likelihoods = [\"gaussian\" for _ in range(n_scores)])\n", + "ent.set_model_options(\n", + " factors = 4, \n", + " spikeslab_weights = False, \n", + " ard_weights = True\n", + ")\n", + "ent.set_train_options(\n", + " convergence_mode = \"medium\", \n", + " dropR2 = 0.001, \n", + " gpu_mode = True, \n", + " seed = 1\n", + ")\n", + "ent.build()\n", + "ent.run()\n", + "w_mofa = ent.model.nodes[\"Z\"].getExpectation()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.59\n", + "Straightening:\n", + "error ism after straightening: 0.59\n", + "error ilsm: 3.58\n", + "condition number(4, 4) = 2.18\n", + "calinski_harabasz_score: 387.1255240085315\n", + "Silhouette Score: 0.38181130374349204\n" + ] + } + ], + "source": [ + "for x in Xs:\n", + " x[x<0] = 0\n", + " \n", + "n_embedding, n_themes = [4,4]\n", + "\n", + "ilsm_result = ilsm.ilsm(Xs, n_embedding, n_themes, norm_columns=1, update_h_ism=True, max_iter=200, max_iter_integrate=0,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8, use_scikit_NMF=False)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "df_w4_ism = pd.DataFrame(w4_ism)\n", + "df_w4_ism['list_cell_codes'] = list_cell_codes\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n", + "\n", + "cluster = np.argmax(w4_ism, axis=1)+1\n", + "calinski_harabasz_score = metrics.calinski_harabasz_score(w4_ism, cluster)\n", + "print(f'calinski_harabasz_score: {calinski_harabasz_score}')\n", + "silhouette_score = metrics.silhouette_score(w4_ism, cluster, metric='euclidean')\n", + "print(f'Silhouette Score: {silhouette_score}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "mds = MDS(n_components=2, random_state=0)\n", + "# mds = umap.UMAP(n_components=2, random_state=0)\n", + "from mvlearn.embed import MVMDS\n", + "mvmds = MVMDS(n_components=6)\n", + "w_mvmds = mvmds.fit_transform(Xs)\n", + "\n", + "stress = []\n", + "w4_ism_mds = mds.fit_transform(w4_ism)\n", + "# w4_ism_mds = mds.fit_transform(w_mofa)\n", + "# w4_ism_mds = mds.fit_transform(w_intnmf[selected_rows,:])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 1.42\n", + "0.2757\n", + "0.3053\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(4)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "list_cell_types = [str(num) for num in range(4)]\n", + "\n", + "patches = []\n", + "for code in range(4):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + " \n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(cell_label, xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes, cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " # ax.set_xlabel(\"MDS-1\")\n", + " # ax.set_ylabel(\"MDS-2\")\n", + " ax.set_xlabel(\"UMAP-1\")\n", + " ax.set_ylabel(\"UMAP-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 2.5:\n", + " flag[l] = 1\n", + "\n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " # if p1[l] > .5 and p2[l] > .5:\n", + " if p2[l] > 0.5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(adjusted_rand_score(labels_matched, list_cell_codes),4)) \n", + " print(round(normalized_mutual_info_score(list_cell_codes, labels_matched),4)) \n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=4\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (7-class)\", k=k, ax=ax)\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.33152021 0.55397862 -0.48779376 0.544567 ]\n", + " [ 0.8071263 -0.14864215 -0.61447458 -0.00581601]\n", + " [-0.16022179 -0.2323492 0.47741036 -0.0348658 ]\n", + " [-0.55662316 -0.03536921 0.67013325 -0.41001331]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "specificity, df_means_within_outside = specificity_score(df_w4_ism)\n", + "print(specificity)\n", + "specificity_plot(df_means_within_outside)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/reuters_ilsm.ipynb b/examples/reuters_ilsm.ipynb new file mode 100644 index 0000000..53b44ae --- /dev/null +++ b/examples/reuters_ilsm.ipynb @@ -0,0 +1,603 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --upgrade torch==1.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mowgli" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n" + ] + }, + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import adjusted_rand_score\n", + "from sklearn.metrics.cluster import normalized_mutual_info_score\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn import metrics\n", + "import sklearn.decomposition\n", + "import umap\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "import muon as mu\n", + "\n", + "import torch\n", + "from torchnmf.nmf import NMF\n", + "from mowgli import models\n", + "from mofapy2.run.entry_point import entry_point\n", + "from ism_utils import specificity_score, specificity_plot\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'\n", + "\n", + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the data for MOFA\n", + "import scipy.io\n", + "mat = scipy.io.loadmat(DATA_PATH + 'reuters.mat')\n", + "Xs = [mat[\"EN_EN_sample\"], mat[\"EN_FR_sample\"], mat[\"EN_GR_sample\"], mat[\"EN_IT_sample\"], mat[\"EN_SP_sample\"]]\n", + "list_cell_codes = np.array(mat[\"truth\"].flatten().tolist()) - 1\n", + "score_pref = ['EN_EN_sample', 'EN_FR_sample', 'EN_GR_sample', 'EN_IT_sample' 'EN_SP_sample']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the data for ISM\n", + "import scipy.io\n", + "mat = scipy.io.loadmat(DATA_PATH + 'reuters.mat')\n", + "Xs = [mat[\"EN_EN_sample\"], mat[\"EN_EN_sample\"], mat[\"EN_FR_sample\"], mat[\"EN_FR_sample\"], \n", + " mat[\"EN_GR_sample\"], mat[\"EN_GR_sample\"], mat[\"EN_IT_sample\"], mat[\"EN_IT_sample\"],\n", + " mat[\"EN_SP_sample\"], mat[\"EN_SP_sample\"]]\n", + "list_cell_codes = np.array(mat[\"truth\"].flatten().tolist()) - 1\n", + "score_pref = ['EN_EN_sample+', 'EN_EN_sample-', 'EN_FR_sample+', 'EN_FR_sample-',\n", + " 'EN_GR_sample+', 'EN_GR_sample-', 'EN_IT_sample+', 'EN_IT_sample-', \n", + " 'EN_SP_sample+', 'EN_SP_sample-']\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 10 views.\n", + "There are 600 observations\n", + "The feature sizes are: [21526, 21526, 24892, 24892, 34121, 34121, 15487, 15487, 11539, 11539]\n" + ] + } + ], + "source": [ + "from scipy.sparse import coo_matrix\n", + "\n", + "# to be defined by the clustering itself at the end of the workflow\n", + "# list_cell_codes, list_cell_types = pd.factorize(df.iloc[:,0])\n", + "Xs_dense = []\n", + "for id, x in enumerate(Xs):\n", + " # Create a sparse matrix using coo_matrix\n", + " i = (x[:,0]-1).astype(int)\n", + " j = (x[:,1]-1).astype(int)\n", + " m = coo_matrix((x[:,2], (i, j)))\n", + " x = m.todense()\n", + " Xs_dense.append(x)\n", + "\n", + "Xs = Xs_dense\n", + "n_scores = len(score_pref)\n", + "n_items = [x.shape[1] for x in Xs]\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[x.shape[1] for x in Xs]}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Mowgli (failed)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "n_themes = 8\n", + "# Define the Mowgli model.\n", + "model = models.MowgliModel(\n", + " eps=0.05,\n", + " latent_dim=n_themes,\n", + " h_regularization={\n", + " \"rna\": 0.01,\n", + " \"atac\": 0.1,\n", + " \"adt\": 0.01,\n", + " },\n", + " w_regularization=0.001,\n", + ")\n", + "\n", + "# Fit the Mowgli model.\n", + "model.train(\n", + " mdata,\n", + " max_iter_inner=10_000,\n", + " max_iter=100,\n", + " device=\"cuda\",\n", + " dtype=torch.double,\n", + " lr=1,\n", + " tol_inner=1e-12,\n", + " tol_outer=1e-4,\n", + " optim_name=\"lbfgs\",\n", + " normalize_rows=False,\n", + ")\n", + "\n", + "w_mowgli = mdata.obsm[\"W_OT\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "MOFA+" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Xs_norm = Xs.copy()\n", + "# scaler = StandardScaler()\n", + "# for i in range(len(Xs)):\n", + "# Xs_norm[i] = Xs[i] - np.mean(Xs[i], axis=0)\n", + "# Xs_norm[i] = scaler.fit_transform(Xs_norm[i])\n", + "\n", + "data_mat = [[None for g in range(1)] for m in range(n_scores)]\n", + "\n", + "for m in range(n_scores):\n", + " data_mat[m][0] = Xs_norm[m]\n", + " \n", + "ent = entry_point()\n", + "ent.set_data_matrix(data_mat, likelihoods = [\"gaussian\" for _ in range(n_scores)])\n", + "ent.set_model_options(\n", + " factors = 6, \n", + " spikeslab_weights = False, \n", + " ard_weights = True\n", + ")\n", + "ent.set_train_options(\n", + " convergence_mode = \"medium\", \n", + " dropR2 = 0.001, \n", + " gpu_mode = True, \n", + " seed = 1\n", + ")\n", + "ent.build()\n", + "ent.run()\n", + "w_mofa = ent.model.nodes[\"Z\"].getExpectation()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using scikit-learn NMF...\n", + "error ism before straightening: 0.96\n", + "Straightening:\n", + "error ism after straightening: 0.96\n", + "condition number(6, 6) = 4.12\n", + "calinski_harabasz_score: 224.90324348022517\n", + "Silhouette Score: 0.2809427480304128\n" + ] + } + ], + "source": [ + "for x in Xs:\n", + " x[x<0] = 0\n", + "\n", + "n_embedding, n_themes = [6,6]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=1, update_h_ism=True, max_iter=200, max_iter_integrate=0,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8, use_scikit_NMF=True)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "df_w4_ism = pd.DataFrame(w4_ism)\n", + "df_w4_ism['list_cell_codes'] = list_cell_codes\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n", + "\n", + "cluster = np.argmax(w4_ism, axis=1)+1\n", + "calinski_harabasz_score = metrics.calinski_harabasz_score(w4_ism, cluster)\n", + "print(f'calinski_harabasz_score: {calinski_harabasz_score}')\n", + "silhouette_score = metrics.silhouette_score(w4_ism, cluster, metric='euclidean')\n", + "print(f'Silhouette Score: {silhouette_score}')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "mds = MDS(n_components=2, random_state=0)\n", + "# mds = umap.UMAP(n_components=2, random_state=0)\n", + "# from mvlearn.embed import MVMDS\n", + "# mvmds = MVMDS(n_components=8)\n", + "\n", + "# scaler = StandardScaler()\n", + "# Xs_norm = []\n", + "# for i in range(len(Xs)):\n", + "# Xs_norm.append(Xs[i] - np.mean(Xs[i], axis=0))\n", + "# Xs_norm[i] = scaler.fit_transform(Xs_norm[i])\n", + "\n", + "# w_mvmds = mvmds.fit_transform(Xs)\n", + "\n", + "stress = []\n", + "w4_ism_mds = mds.fit_transform(w4_ism)\n", + "# w4_ism_mds = mds.fit_transform(w_mofa)\n", + "# w4_ism_mds = mds.fit_transform(w_intnmf[selected_rows,:])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 1.42\n", + "0.2505\n", + "0.3417\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(6)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "list_cell_types = [str(num) for num in range(6)]\n", + "\n", + "patches = []\n", + "for code in range(6):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + " \n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(cell_label, xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes, cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " # ax.set_xlabel(\"MDS-1\")\n", + " # ax.set_ylabel(\"MDS-2\")\n", + " ax.set_xlabel(\"UMAP-1\")\n", + " ax.set_ylabel(\"UMAP-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 2.5:\n", + " flag[l] = 1\n", + "\n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " # if p1[l] > .5 and p2[l] > .5:\n", + " if p2[l] > 0.5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(adjusted_rand_score(labels_matched, list_cell_codes),4)) \n", + " print(round(normalized_mutual_info_score(list_cell_codes, labels_matched),4)) \n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=6\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (7-class)\", k=k, ax=ax)\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.38657256 0.02608067 -0.08860159 0.83413099 -0.14976082 0.04902761]\n", + " [-0.39938524 -0.29296586 0.49535112 -0.00096553 -0.11083219 0.57988285]\n", + " [-0.09084336 -0.55006904 0.29472497 -0.3448727 0.92787173 0.2659129 ]\n", + " [ 0.38916418 -0.452479 0.23088053 -0.38345013 -0.04485893 -0.00913008]\n", + " [ 0.77913366 -0.39920605 -0.31724692 -0.26667177 -0.18622124 -0.32636675]\n", + " [-0.07533633 0.86884361 -0.25138682 -0.17277127 -0.13643958 -0.29434007]]\n" + ] + } + ], + "source": [ + "specificity, df_means_within_outside = specificity_score(df_w4_ism)\n", + "specificity_plot(df_means_within_outside)\n", + "print(specificity)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/simulation_aih.ipynb b/examples/simulation_aih.ipynb new file mode 100644 index 0000000..7bf4d83 --- /dev/null +++ b/examples/simulation_aih.ipynb @@ -0,0 +1,128 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.11\n", + "error ism before straightening: 0.13\n", + "error ism after straightening: 0.18\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import adilsm.adilsm as ilsm\n", + "\n", + "max_noise_level = 0.1\n", + "# Generate a random non-negative matrix with 100 rows and 10 columns\n", + "A = np.random.rand(100, 10)\n", + "# Swap the columns of the A and add some noise to generate B\n", + "B = np.random.permutation(A.T).T + np.random.uniform(low=0, high=max_noise_level, size=A.shape)\n", + "# Add noise to A\n", + "A += np.random.uniform(low=0, high=max_noise_level, size=A.shape)\n", + "\n", + "# ISM is expected to recognize that A and B convey the same information up to some noise,\n", + "# albeit with the columns of B swapped around. Heatmaps of the loadings of A and B columns\n", + "# on ISM components show the effective permutation. \n", + "\n", + "Xs = [A, B]\n", + "n_embedding, n_themes = [10,10]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=False, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii = ilsm_result['HHII']\n", + "w_ism = ilsm_result['W']\n", + "h_ism = ilsm_result['H']\n", + "q_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(10, 5), constrained_layout=True)\n", + "ax[0].imshow(hv[0], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[0].set_xlabel('Component')\n", + "ax[0].set_ylabel('Column')\n", + "ax[0].set_title('Loadings of A columns on ISM components')\n", + "ax[1].imshow(hv[1], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[1].set_xlabel('Component')\n", + "ax[1].set_ylabel('Column')\n", + "ax[1].set_title('Loadings of B columns on ISM components')\n", + "\n", + "# Show the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/simulation_ism.ipynb b/examples/simulation_ism.ipynb new file mode 100644 index 0000000..168cc98 --- /dev/null +++ b/examples/simulation_ism.ipynb @@ -0,0 +1,133 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.12\n", + "error ism before straightening: 0.14\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "iteration 3...\n", + "error ism after straightening: 0.16\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import adilsm.adilsm as ilsm\n", + "\n", + "max_noise_level = 0.1\n", + "# Generate a random non-negative matrix with 100 rows and 10 columns\n", + "A = np.random.rand(100, 10)\n", + "# Swap the columns of the A and add some noise to generate B\n", + "B = np.random.permutation(A.T).T + np.random.uniform(low=0, high=max_noise_level, size=A.shape)\n", + "# Add noise to A\n", + "A += np.random.uniform(low=0, high=max_noise_level, size=A.shape)\n", + "\n", + "# ISM is expected to recognize that A and B convey the same information up to some noise,\n", + "# albeit with the columns of B swapped around. Heatmaps of the loadings of A and B columns\n", + "# on ISM components show the effective permutation. \n", + "\n", + "Xs = [A, B]\n", + "n_embedding, n_themes = [10,10]\n", + "\n", + "ilsm_result = ilsm.ism(Xs, n_embedding, n_themes, norm_columns=0, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii = ilsm_result['HHII']\n", + "w_ism = ilsm_result['W']\n", + "h_ism = ilsm_result['H']\n", + "q_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(10, 5), constrained_layout=True)\n", + "ax[0].imshow(hv[0], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[0].set_xlabel('Component')\n", + "ax[0].set_ylabel('Column')\n", + "ax[0].set_title('Loadings of A columns on ISM components')\n", + "ax[1].imshow(hv[1], cmap='viridis', aspect='auto')\n", + "# Add labels and title\n", + "ax[1].set_xlabel('Component')\n", + "ax[1].set_ylabel('Column')\n", + "ax[1].set_title('Loadings of B columns on ISM components')\n", + "\n", + "# Show the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/uci_digits_aih.ipynb b/examples/uci_digits_aih.ipynb new file mode 100644 index 0000000..7e59768 --- /dev/null +++ b/examples/uci_digits_aih.ipynb @@ -0,0 +1,424 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list\n", + "# ! pip show scipy" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "adilsm version=0.0.11\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import rand_score\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "\n", + "RESULTS_PATH = './'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 6 views.\n", + "There are 2000 observations\n", + "The feature sizes are: [76, 216, 64, 240, 47, 6]\n" + ] + } + ], + "source": [ + "###############################################################################\n", + "# Load Data\n", + "# ---------\n", + "# Data comes from UCI Digits Data. Contains 6 views and classifications of\n", + "# numbers 0-9\n", + "\n", + "Xs, list_digits = load_UCImultifeature()\n", + "\n", + "sample_rate = 1\n", + "\n", + "if sample_rate < 1:\n", + " num_rows = list_digits.shape[0]\n", + " num_rows_to_select = int(num_rows * sample_rate)\n", + " selected_rows = np.random.choice(num_rows, num_rows_to_select, replace=False)\n", + "\n", + " for i in range(len(Xs)):\n", + " Xs[i] = Xs[i][selected_rows]\n", + "\n", + " list_digits = list_digits[selected_rows]\n", + "\n", + "list_cell_codes, list_cell_types = pd.factorize(list_digits)\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[X.shape[1] for X in Xs]}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "Xs_ism = [None] * 7\n", + "Xs_ism[0] = Xs[0].copy()\n", + "Xs_ism[1] = Xs[1].copy()\n", + "\n", + "Xs_ism[2] = Xs[2].copy()\n", + "Xs_ism[2][Xs_ism[2]<0] = 0\n", + "\n", + "Xs_ism[3] = -Xs[2].copy()\n", + "Xs_ism[3][Xs_ism[3]<0] = 0\n", + "\n", + "for i in range(4,len(Xs_ism)):\n", + " Xs_ism[i] = Xs[i-1].copy()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.39\n", + "error ism after straightening: 0.52\n", + "condition number(9, 10) = 7.62\n" + ] + } + ], + "source": [ + "n_embedding, n_themes = [9,10]\n", + "\n", + "ilsm_result = ilsm.ism(Xs_ism, n_embedding, n_themes, norm_columns=True, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[491.4730131240673]\n" + ] + } + ], + "source": [ + "# 16-16 with .8\n", + "# generate N visually distinct colours\n", + "\n", + "# MDS projection\n", + "mds = MDS(n_components=2, random_state=0)\n", + "# mds = umap.UMAP(random_state=0, n_jobs=1, min_dist=1)\n", + "\n", + "n_marker_genes = list_cell_codes.shape[0]\n", + "\n", + "stress = []\n", + "\n", + "w4_ism_mds = mds.fit_transform(normalize(w4_ism[:n_marker_genes,:], axis=0, norm='l2'))\n", + "stress.append(mds.stress_)\n", + "\n", + "print(stress)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10 5.81\n", + "0.9233\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(10)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "patches = []\n", + "for code in range(10):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + "\n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(int(cell_label), xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, list_cell_codes=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes[:n_marker_genes], cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " ax.set_xlabel(\"MDS-1\")\n", + " ax.set_ylabel(\"MDS-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 1:\n", + " flag[l] = 1\n", + "\n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " if p2[l] > .5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " inter_distance = distance_matrix(xy_mean, xy_mean)\n", + " mean_inter_distance = np.mean(inter_distance[inter_distance>0])\n", + " norm_distance = np.max(inter_distance) - inter_distance\n", + " # print(p1)\n", + " # print(p2)\n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(rand_score(labels_matched, list_cell_codes),4))\n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=10\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (10-class)\", k=k, ax=ax, list_cell_codes=list_cell_codes, skip_ellipse=[])\n", + "\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/uci_digits_ism.ipynb b/examples/uci_digits_ism.ipynb new file mode 100644 index 0000000..9124402 --- /dev/null +++ b/examples/uci_digits_ism.ipynb @@ -0,0 +1,492 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install mvlearn==0.5.0 wordcloud==1.9.3 matplotlib==3.3.4 distinctipy==1.3.4 networkx==3.2.1 umap==0.1.1 hoggorm==0.13.3 adilsm==0.0.11 scikit-learn==1.1.2 scipy==1.9.1 numpy==1.23.3\n", + "# scipy==1.9.1 used (due to changes in SVDS in later versions) to reproduce presented results in ref paper\n", + "# scikit-learn==1.1.2 used (due to changes in MDS in later versions) to reproduce presented results in ref paper\n", + "# numpy==1.23.3 used (due to changes in ??? in later versions) to reproduce presented results in ref paper" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install -e ..\n", + "# !pip list\n", + "# ! pip show scipy" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import matplotlib.patches as mpatches\n", + "import distinctipy\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "from mvlearn.datasets import load_UCImultifeature\n", + "\n", + "from sklearn.manifold import MDS\n", + "from sklearn.cluster import KMeans\n", + "from scipy.spatial import distance_matrix\n", + "from sklearn.metrics.cluster import adjusted_rand_score\n", + "from sklearn.metrics.cluster import normalized_mutual_info_score\n", + "\n", + "import adilsm.adilsm as ilsm\n", + "from ism_utils import specificity_score, specificity_plot\n", + "\n", + "RESULTS_PATH = './results/'\n", + "DATA_PATH = './data/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data prep" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 6 views.\n", + "There are 2000 observations\n", + "The feature sizes are: [76, 216, 64, 240, 47, 6]\n" + ] + } + ], + "source": [ + "###############################################################################\n", + "# Load Data\n", + "# ---------\n", + "# Data comes from UCI Digits Data. Contains 6 views and classifications of\n", + "# numbers 0-9\n", + "\n", + "Xs, list_digits = load_UCImultifeature()\n", + "\n", + "sample_rate = 1\n", + "\n", + "if sample_rate < 1:\n", + " num_rows = list_digits.shape[0]\n", + " num_rows_to_select = int(num_rows * sample_rate)\n", + " selected_rows = np.random.choice(num_rows, num_rows_to_select, replace=False)\n", + "\n", + " for i in range(len(Xs)):\n", + " Xs[i] = Xs[i][selected_rows]\n", + "\n", + " list_digits = list_digits[selected_rows]\n", + "\n", + "list_cell_codes, list_cell_types = pd.factorize(list_digits)\n", + "\n", + "# Check data\n", + "print(f'There are {len(Xs)} views.')\n", + "print(f'There are {Xs[0].shape[0]} observations')\n", + "print(f'The feature sizes are: {[X.shape[1] for X in Xs]}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "Xs_ism = [None] * 7\n", + "Xs_ism[0] = Xs[0].copy()\n", + "Xs_ism[1] = Xs[1].copy()\n", + "\n", + "Xs_ism[2] = Xs[2].copy()\n", + "Xs_ism[2][Xs_ism[2]<0] = 0\n", + "\n", + "Xs_ism[3] = -Xs[2].copy()\n", + "Xs_ism[3][Xs_ism[3]<0] = 0\n", + "\n", + "for i in range(4,len(Xs_ism)):\n", + " Xs_ism[i] = Xs[i-1].copy()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ISM workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "error ism before straightening: 0.39\n", + "Straightening:\n", + "iteration 0...\n", + "iteration 1...\n", + "iteration 2...\n", + "iteration 3...\n", + "iteration 4...\n", + "iteration 5...\n", + "iteration 6...\n", + "iteration 7...\n", + "iteration 8...\n", + "iteration 9...\n", + "iteration 10...\n", + "iteration 11...\n", + "iteration 12...\n", + "iteration 13...\n", + "iteration 14...\n", + "iteration 15...\n", + "iteration 16...\n", + "iteration 17...\n", + "iteration 18...\n", + "iteration 19...\n", + "error ism after straightening: 0.52\n", + "condition number(9, 10) = 7.62\n" + ] + } + ], + "source": [ + "n_embedding, n_themes = [9,10]\n", + "\n", + "ilsm_result = ilsm.ism(Xs_ism, n_embedding, n_themes, norm_columns=1, update_h_ism=True,\n", + " max_iter_mult=200, fast_mult_rules=True, sparsity_coeff=.8)\n", + "hv = ilsm_result['HV']\n", + "hv_sparse = ilsm_result['HV_SPARSE']\n", + "hhii_updated = ilsm_result['HHII']\n", + "w4_ism = ilsm_result['W']\n", + "h4_ism = ilsm_result['H']\n", + "q4_ism = ilsm_result['Q']\n", + "Xs_emb = ilsm_result['EMBEDDING']\n", + "Xs_norm = ilsm_result['NORMED_VIEWS']\n", + "\n", + "h4_updated_sparse = hv[0].copy()\n", + "for h in hv_sparse[1:]:\n", + " h4_updated_sparse = np.vstack((h4_updated_sparse, h))\n", + "\n", + "print('condition number('+str(n_embedding)+', '+str(n_themes)+') = ', np.round(np.linalg.cond(h4_updated_sparse), 2))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figures" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[491.4730131240673]\n" + ] + } + ], + "source": [ + "# 16-16 with .8\n", + "# generate N visually distinct colours\n", + "\n", + "# MDS projection\n", + "mds = MDS(n_components=2, random_state=0)\n", + "# mds = umap.UMAP(random_state=0, n_jobs=1, min_dist=1)\n", + "\n", + "n_marker_genes = list_cell_codes.shape[0]\n", + "\n", + "stress = []\n", + "\n", + "w4_ism_mds = mds.fit_transform(normalize(w4_ism[:n_marker_genes,:], axis=0, norm='l2'))\n", + "stress.append(mds.stress_)\n", + "\n", + "print(stress)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10 5.81\n", + "0.5743\n", + "0.6667\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "palette = distinctipy.get_colors(10)\n", + "cmap = ListedColormap(palette)\n", + "\n", + "patches = []\n", + "for code in range(10):\n", + " patches.append(mpatches.Patch(color=palette[code], label=list_cell_types[code]))\n", + "\n", + "# Define a function to plot the confidence ellipse\n", + "def confidence_ellipse(x, y, cell_label, ax, n_std=2, facecolor='none', **kwargs):\n", + " # Create a plot of the covariance confidence ellipse of `x` and `y`\n", + " # Adapted from [1](https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html)\n", + " \n", + " # Calculate the covariance matrix and the Pearson correlation coefficient\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])\n", + " \n", + " # Use a special case to obtain the eigenvalues of the covariance matrix\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " \n", + " # Create the ellipse object\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + " \n", + " # Scale and translate the ellipse according to the mean and standard deviation of the data\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " mean_x = np.mean(x)\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " mean_y = np.mean(y)\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + " ellipse.set_transform(transf + ax.transData)\n", + " \n", + " # Annotate centroid\n", + " x_mean = np.mean(x)\n", + " y_mean = np.mean(y)\n", + " ax.annotate(int(cell_label), xy=(x_mean, y_mean))\n", + "\n", + " # Add the ellipse to the axes\n", + " ax.add_patch(ellipse)\n", + " return x_mean, y_mean\n", + "\n", + "# define a function to plot scatter with clusters and confidence ellipses\n", + "def plot_scatter(x, y, title=None, k=None, ax=None, list_cell_codes=None, skip_ellipse=[], face_color='lavender', **kwargs):\n", + " # Perform k-means clustering\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(np.c_[x, y])\n", + " # Get the cluster labels and centroids\n", + " labels = kmeans.labels_ # Get cluster labels\n", + " labels_matched = np.empty_like(labels)\n", + " unique_labels = np.unique(labels)\n", + " truth_label = np.zeros(len(unique_labels))\n", + "\n", + " # For each cluster label...\n", + " for l in unique_labels:\n", + " # ...find and assign the best-matching truth label\n", + " match_nums = [np.sum((labels==l)*(list_cell_codes==t)) for t in np.unique(list_cell_codes)]\n", + " truth_label[l] = np.unique(list_cell_codes)[np.argmax(match_nums)]\n", + " labels_matched[labels==l] = truth_label[l]\n", + "\n", + " ax.scatter(x, y, c=list_cell_codes[:n_marker_genes], cmap=cmap, alpha=0.5, s=20)\n", + " ax.set_title(title)\n", + " ax.set_xlabel(\"MDS-1\")\n", + " ax.set_ylabel(\"MDS-2\")\n", + " ax.set_facecolor(face_color)\n", + "\n", + " p1 = np.zeros(k)\n", + " p2 = np.zeros(k)\n", + " unique_labels_matched = np.unique(labels_matched)\n", + " xy_mean = np.zeros((len(unique_labels),2)) \n", + " mean_intra_distance = np.zeros(len(unique_labels))\n", + " mean_inter_distance = np.zeros(len(unique_labels))\n", + " flag = np.zeros(len(unique_labels))\n", + "\n", + " for l in unique_labels_matched:\n", + " indices = np.where(truth_label == l)[0]\n", + " if indices.shape[0] > 1:\n", + " # calculate mean distance inter-clusters pointing to same class\n", + " xy_mean2 = np.zeros((indices.shape[0],2))\n", + " for l2 in range(len(indices)):\n", + " xy_mean2[l2,0] = np.mean(x[labels == indices[l2]])\n", + " xy_mean2[l2,1] = np.mean(y[labels == indices[l2]])\n", + " xy_intra = np.column_stack((x[labels == indices[l2]], y[labels == indices[l2]]))\n", + " D = distance_matrix(xy_intra, xy_intra)\n", + " mean_intra_distance[l] += np.mean(D[D>0])\n", + " \n", + " D = distance_matrix(xy_mean2, xy_mean2)\n", + " mean_inter_distance[l] = np.mean(D[D>0])\n", + " if mean_inter_distance[l] / mean_intra_distance[l] > 1:\n", + " flag[l] = 1\n", + "\n", + " n_matched_cell_types = 0\n", + " \n", + " for l in np.unique(labels_matched):\n", + " if not flag[l]:\n", + " p1[l] = np.sum(labels_matched[labels_matched==l] == list_cell_codes[labels_matched==l])\n", + " p2[l] = p1[l] / np.sum(list_cell_codes == l)\n", + " p1[l] /= np.sum(labels_matched == l)\n", + " if p2[l] > .5:\n", + " n_matched_cell_types += 1\n", + " xy_mean[l,0], xy_mean[l,1] = confidence_ellipse(x[labels_matched == l], y[labels_matched == l], list_cell_types[l], ax, n_std=2, edgecolor='black')\n", + " else:\n", + " p1[l] = 0\n", + " p2[l] = 0\n", + " else:\n", + " xy_mean[l,0] = 0\n", + " xy_mean[l,1] = 0\n", + " \n", + " inter_distance = distance_matrix(xy_mean, xy_mean)\n", + " mean_inter_distance = np.mean(inter_distance[inter_distance>0])\n", + " norm_distance = np.max(inter_distance) - inter_distance\n", + " # print(p1)\n", + " # print(p2)\n", + " print(n_matched_cell_types, round(np.sum(p1*p2),2))\n", + " print(round(adjusted_rand_score(labels_matched, list_cell_codes),4)) \n", + " print(round(normalized_mutual_info_score(list_cell_codes, labels_matched),4)) \n", + "\n", + "# fig, ax = plt.subplots(3, 2, figsize=(14, 18), constrained_layout=True)\n", + "fig, ax = plt.subplots(figsize=(8, 7), constrained_layout=True)\n", + "\n", + "face_color = 'lavender'\n", + "k=10\n", + "\n", + "plot_scatter(w4_ism_mds[:, 0], w4_ism_mds[:, 1], title=\"ISM Reduced Data (10-class)\", k=k, ax=ax, list_cell_codes=list_cell_codes, skip_ellipse=[])\n", + "\n", + "plt.show\n", + "\n", + "# Add the legend to a new figure\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.legend(handles=patches, loc='center')\n", + "plt.gca().set_axis_off()\n", + "ax2.set_facecolor(face_color)\n", + "plt.show" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.28593016 0.24103274 -0.17823189 -0.05037777 -0.13037591 0.15923862\n", + " -0.04360571 -0.29479368 -0.07654092 0.65318416]\n", + " [ 0.71297384 -0.39867936 -0.03628506 0.02374669 0.17648039 0.21876152\n", + " 0.03581102 0.25576356 -0.01386714 -0.04664971]\n", + " [ 0.29966965 -0.10132858 0.18121199 -0.50321695 0.11267872 0.42007833\n", + " -0.25191277 0.65339954 -0.2514659 -0.23628702]\n", + " [-0.36036522 0.11229121 -0.28265422 0.08736837 -0.1875303 0.25093672\n", + " 0.65459444 -0.24069147 0.51204966 -0.38312076]\n", + " [-0.51955432 0.33246701 -0.20812562 -0.23182234 0.35584739 0.16437719\n", + " -0.13591008 -0.26190402 -0.28887876 0.05862922]\n", + " [-0.48547527 0.04272998 0.53525026 -0.552428 -0.20274977 -0.33463207\n", + " -0.5115558 0.49560774 -0.2227289 -0.06207848]\n", + " [-0.34950427 0.48345003 -0.30554992 0.42680381 -0.45892573 -0.36039243\n", + " 0.28508154 -0.47421378 0.2903729 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_w4_ism = pd.DataFrame(w4_ism)\n", + "df_w4_ism['list_cell_codes'] = list_cell_codes\n", + "specificity, df_means_within_outside = specificity_score(df_w4_ism)\n", + "print(specificity)\n", + "specificity_plot(df_means_within_outside)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}