From 67c6ee42e3810bb2e614664acffd2c10cf2eb68a Mon Sep 17 00:00:00 2001 From: zklsmr Date: Wed, 13 Mar 2024 20:45:46 -0400 Subject: [PATCH] works, but fixed path missing one period --- examples/Example4_model_comp_simplified.ipynb | 76 +++++++++---------- 1 file changed, 36 insertions(+), 40 deletions(-) diff --git a/examples/Example4_model_comp_simplified.ipynb b/examples/Example4_model_comp_simplified.ipynb index 378d27d..696013c 100644 --- a/examples/Example4_model_comp_simplified.ipynb +++ b/examples/Example4_model_comp_simplified.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -40,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -48,26 +48,26 @@ "output_type": "stream", "text": [ "(240, 320, 320)\n", - "./sub002_sess1_INV2.nii.gz\n", + "../sub002_sess1_T1w.nii.gz\n", "(240, 320, 320)\n", - "./sub002_sess1_T1w.nii.gz\n", + "../sub002_sess1_INV2.nii.gz\n", "(240, 320, 320)\n", - "./sub002_sess1_T1map.nii.gz\n", + "../sub002_sess1_T1map.nii.gz\n", "(240, 320, 320)\n", - "./sub003_sess1_INV2.nii.gz\n", + "../sub003_sess1_T1w.nii.gz\n", "(240, 320, 320)\n", - "./sub003_sess1_T1w.nii.gz\n", + "../sub003_sess1_INV2.nii.gz\n", "(240, 320, 320)\n", - "./sub003_sess1_T1map.nii.gz\n", + "../sub003_sess1_T1map.nii.gz\n", "(240, 320, 320)\n", "new_ID: sub004 should be an outlier\n", - "./sub004_sess1_INV2.nii.gz\n", + "../sub004_sess1_T1w.nii.gz\n", "(240, 320, 320)\n", "new_ID: sub004 should be an outlier\n", - "./sub004_sess1_T1w.nii.gz\n", + "../sub004_sess1_INV2.nii.gz\n", "(240, 320, 320)\n", "new_ID: sub004 should be an outlier\n", - "./sub004_sess1_T1map.nii.gz\n" + "../sub004_sess1_T1map.nii.gz\n" ] } ], @@ -77,7 +77,7 @@ "# ensure that we can distinguish them properly by their D2\n", "\n", "ID='sub001'\n", - "s1 = glob('./sub001*')\n", + "s1 = glob('../sub001*')\n", "idx=2\n", "for rep in range(3):\n", " idx2 = rep+idx\n", @@ -103,29 +103,29 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[['./sub001_sess1_INV2.nii.gz', './sub001_sess1_T1w.nii.gz', './sub001_sess1_T1map.nii.gz'], ['./sub002_sess1_T1map.nii.gz', './sub002_sess1_T1w.nii.gz', './sub002_sess1_INV2.nii.gz'], ['./sub003_sess1_INV2.nii.gz', './sub003_sess1_T1map.nii.gz', './sub003_sess1_T1w.nii.gz'], ['./sub004_sess1_INV2.nii.gz', './sub004_sess1_T1map.nii.gz', './sub004_sess1_T1w.nii.gz']]\n", + "[['../sub001_sess1_T1w.nii.gz', '../sub001_sess1_INV2.nii.gz', '../sub001_sess1_T1map.nii.gz'], ['../sub002_sess1_INV2.nii.gz', '../sub002_sess1_T1w.nii.gz', '../sub002_sess1_T1map.nii.gz'], ['../sub003_sess1_T1w.nii.gz', '../sub003_sess1_INV2.nii.gz', '../sub003_sess1_T1map.nii.gz'], ['../sub004_sess1_INV2.nii.gz', '../sub004_sess1_T1map.nii.gz', '../sub004_sess1_T1w.nii.gz']]\n", "No 'model_feature_image_list' was provided\n", "\t- Model features will be iteratively computed as the mean of all other subjects (leave one out)\n", - "subject None feature matrix creation in 5.66 s\n", - "subject None feature matrix creation in 5.9 s\n", - "subject None feature matrix creation in 5.9 s\n", - "subject None feature matrix creation in 6.03 s\n", - "Total time for mahalanobis distance calculation on 4 subjects with 4702024 voxels: 7.03s\n" + "subject None feature matrix creation in 3.46 s\n", + "subject None feature matrix creation in 3.53 s\n", + "subject None feature matrix creation in 3.55 s\n", + "subject None feature matrix creation in 3.52 s\n", + "Total time for mahalanobis distance calculation on 4 subjects with 21503229 voxels: 14.4s\n" ] } ], "source": [ - "s1 = glob('./sub001*')\n", - "s2 = glob('./sub002*')\n", - "s3 = glob('./sub003*')\n", - "s4 = glob('./sub004*')\n", + "s1 = glob('../sub001*')\n", + "s2 = glob('../sub002*')\n", + "s3 = glob('../sub003*')\n", + "s4 = glob('../sub004*')\n", "all_Ss = [s1,s2,s3,s4]\n", "print(all_Ss)\n", "\n", @@ -137,41 +137,37 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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JV7/61Xds39bWlra2ttLnlpaWJMljLzZnaEtROj9oy/ZO/TbseLVLdQ3c+Ub/nR3NXeoHALzh5KNqK10CQLcp+4YMTz31VC655JL8y7/8SwYM2L8stmjRotTW1paOcePGlblKAADgUFfWcNTe3p4LLrggl112WSZOnLjf/RYsWJDm5ubSsWHDhjJWCQAAUOZlddu2bcvq1avz0EMP5aKLLkqSdHR0pCiKDBgwIHfddVc+9KEP7dGvuro61dXV5SwNAACgk7KGo5qamjzyyCOdzn3ve9/Lz372s9x888055phjynl5AACA/dblcLR9+/Y8/fTTpc/PPfdc1q5dm+HDh2f8+PFZsGBBXnzxxVx33XXp169fTjrppE79R44cmUGDBu1xHgAAoJK6HI5Wr16ds846q/S5sbExSTJ37twsW7YsGzduzPr167uvQgAAgB5QVRRF8c7NKqulpSW1tbW57/H1GXp4Ten8oC0Pd2r3zI6uhbJjh4xPkuwcMfndFwkAhyBbeQM9bXc2aG5uTk1NzTt36IKyb+UNAADQF/TIS2B7q90zTWNj5ggAAA51Zo4AAAAiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACRJBlS6gN5g0JaHS3/vHDG5gpUAAACVYuYIAAAgwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAAQBLhCAAAIEkyoNIFdIdndqzvlv7HDhnfHeUAAAB9kJkjAACACEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIcQDhauXJlZs+enTFjxqSqqiq33nrr27b/93//93zkIx/Je9/73tTU1KS+vj533nnngdYLAABQFl0OR62trZkyZUqWLFmyX+1XrlyZj3zkI7n99tuzZs2anHXWWZk9e3YeeuihLhcLAABQLgO62mHWrFmZNWvWfrdfvHhxp89f//rX86Mf/Sg//vGPM3Xq1L32aWtrS1tbW+lzS0tLV8sEAADokh5/5qijoyPbtm3L8OHD99lm0aJFqa2tLR3jxo3rwQoBAIBDUY+Ho29961vZvn17/vRP/3SfbRYsWJDm5ubSsWHDhh6sEAAAOBR1eVndu3H99dfnsssuy49+9KOMHDlyn+2qq6tTXV291+8GbXm4XOUBAACHsB4LRzfccEM++clP5qabbkpDQ0NPXRYAAGC/9Miyuh/+8IeZN29efvjDH+acc87piUsCAAB0SZdnjrZv356nn3669Pm5557L2rVrM3z48IwfPz4LFizIiy++mOuuuy7JG0vp5s6dm29/+9uZMWNGmpqakiSDBw9ObW1tN90GAADAu9PlmaPVq1dn6tSppW24GxsbM3Xq1CxcuDBJsnHjxqxfv77U/vvf/35ef/31zJ8/P6NHjy4dF198cTfdAgAAwLvX5ZmjM888M0VR7PP7ZcuWdfp89913d/USAAAAPa7Ht/IGAADojYQjAACACEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASJIMqHQBvc2gLQ+X/t45YnIFKwEAAHqSmSMAAICYOQIA3oVHXmiudAnAIWb7tpay/baZIwAAgAhHAAAASYQjAACAJMJRJ8/sWF/pEgAAgAoRjgAAACIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJkgGVLuCgtu6Jzp8nTqpMHQAAwDsycwQAABDhCAAAIIlldT3rrcvsLLEDAIBexcwRAABAzBx1v9/dhAEAAOgTzBwBAABEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEnsVlc53nkEAAC9ipkjAACACEcAAABJDiAcrVy5MrNnz86YMWNSVVWVW2+99R373H333fm93/u9VFdX5/3vf3+WLVt2AKUCAACUT5fDUWtra6ZMmZIlS5bsV/vnnnsu55xzTs4666ysXbs2n//85/PJT34yd955Z5eLBQAAKJcub8gwa9aszJo1a7/bL126NMccc0yuuOKKJMkHPvCB3Hvvvfnf//t/Z+bMmXvt09bWlra2ttLnlpaWrpbZc966sQIAANBnlf2Zo1WrVqWhoaHTuZkzZ2bVqlX77LNo0aLU1taWjnHjxpW7TAAA4BBX9nDU1NSUurq6Tufq6urS0tKSV199da99FixYkObm5tKxYcOGcpcJAAAc4nrle46qq6tTXV1d6TIAAIBDSNlnjkaNGpVNmzZ1Ordp06bU1NRk8ODB5b48AADAfil7OKqvr8+KFSs6nVu+fHnq6+vLfWkAAID91uVwtH379qxduzZr165N8sZW3WvXrs369euTvPG80Jw5c0rtP/OZz+TZZ5/N//yf/zNPPPFEvve97+Xf/u3f8oUvfKF77gAAAKAbdDkcrV69OlOnTs3UqVOTJI2NjZk6dWoWLlyYJNm4cWMpKCXJMccck5/85CdZvnx5pkyZkiuuuCL/9E//tM9tvAEAACqhqiiKotJFvJOWlpbU1tbmvsfXZ0Tb83t8/8yO9Xt2OkDHDhlf+nvniMnv3KEc7zmaOKn7fxMAAA4C27e15IMnjE9zc3Nqamq69bfL/swRAABAXyAcAQAA5CAIR925pA4AADh09flwBAAA0B2EIwAAgAhHAAAASYQjAACAJMLRHp7Zsd4mDwAAcAgSjt7GoC0PZ9CWhytdBgAA0AOEIwAAgAhHAAAASZIBlS6gT1r3RKUrAAAAupmZIwAAgAhHAAAASYQjAACAJJ456p3e+kzTxEmVqwMAAA4hZo4AAAAiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQRDgCAABIkgyodAG8g3VPdP48cVJl6gAAgIOcmSMAAIAIRwAAAEmEIwAAgCTCEQAAQBIbMuyf390UAQAAOOiYOQIAAIhwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQ5ADD0ZIlSzJhwoQMGjQoM2bMyAMPPPC27RcvXpzjjz8+gwcPzrhx4/KFL3whO3fuPKCCAQAAyqHL4ejGG29MY2NjLr300jz44IOZMmVKZs6cmc2bN++1/fXXX59LLrkkl156aX7961/n6quvzo033pj/9b/+17suHgAAoLt0ORxdeeWV+dSnPpV58+blhBNOyNKlSzNkyJBcc801e21/33335fTTT88FF1yQCRMm5Oyzz87555//jrNNAAAAPalL4WjXrl1Zs2ZNGhoa3vyBfv3S0NCQVatW7bXPBz/4waxZs6YUhp599tncfvvt+eM//uN9XqetrS0tLS2djp72zI71eWbH+h6/7jta98SbBwAA0G0GdKXxli1b0t7enrq6uk7n6+rq8sQTe/8/6xdccEG2bNmSP/iDP0hRFHn99dfzmc985m2X1S1atCiXXXZZV0oDAAB4V8q+W93dd9+dr3/96/ne976XBx98MP/+7/+en/zkJ/m7v/u7ffZZsGBBmpubS8eGDRvKXSYAAHCI69LM0YgRI9K/f/9s2rSp0/lNmzZl1KhRe+3zla98JX/2Z3+WT37yk0mSk08+Oa2trfn0pz+dL33pS+nXb898Vl1dnerq6q6UBgAA8K50aeZo4MCBmTZtWlasWFE619HRkRUrVqS+vn6vfXbs2LFHAOrfv3+SpCiKrtYLAABQFl2aOUqSxsbGzJ07N9OnT89pp52WxYsXp7W1NfPmzUuSzJkzJ2PHjs2iRYuSJLNnz86VV16ZqVOnZsaMGXn66afzla98JbNnzy6FpN6ueutTpb/bhh1XwUoAAIBy6XI4Ou+88/Lyyy9n4cKFaWpqyimnnJI77rijtEnD+vXrO80UffnLX05VVVW+/OUv58UXX8x73/vezJ49O1/72te67y4AAADepaqiD6xta2lpSW1tbe57fH1GtD3f6btyb7d97JDxKZ79Telzr5o5mjip0hUAAECP2r6tJR88YXyam5tTU1PTrb9d9t3qAAAA+gLhCAAAIMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJhCMAAIAkwhEAAECSZEClC+itBj6/MUlSDCoqXAkAANAThKO+bN0TnT9PnFSZOgAA4CBgWR0AAECEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJhCMAAIAkyYBKF0A3WvfEm39PnFS5OgAAoA8ycwQAABDhCAAAIIlw9I5e2NmUF3Y2VboMAACgzIQjAACA9LFwNOi3j1W6BAAA4CDVp8IRAABAuQhHXVS99alUb32q0mUAAADdTDgCAACIcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEmSAZUuoLcY+PzGSpcAAABUkJkjAACACEcAAABJhCMAAIAkBxiOlixZkgkTJmTQoEGZMWNGHnjggbdtv3Xr1syfPz+jR49OdXV1Jk6cmNtvv/2ACmY/rXui8wEAALytLm/IcOONN6axsTFLly7NjBkzsnjx4sycOTNPPvlkRo4cuUf7Xbt25SMf+UhGjhyZm2++OWPHjs1vfvObDBs2rDvqBwAA6BZdDkdXXnllPvWpT2XevHlJkqVLl+YnP/lJrrnmmlxyySV7tL/mmmvyyiuv5L777sthhx2WJJkwYcK7qxoAAKCbdWlZ3a5du7JmzZo0NDS8+QP9+qWhoSGrVq3aa5//+I//SH19febPn5+6urqcdNJJ+frXv5729vZ9XqetrS0tLS2djt/1zI71eWbH+q6UDwAAsE9dCkdbtmxJe3t76urqOp2vq6tLU1PTXvs8++yzufnmm9Pe3p7bb789X/nKV3LFFVfkq1/96j6vs2jRotTW1paOcePGdaVMAACALiv7bnUdHR0ZOXJkvv/972fatGk577zz8qUvfSlLly7dZ58FCxakubm5dGzYsKHcZQIAAIe4Lj1zNGLEiPTv3z+bNm3qdH7Tpk0ZNWrUXvuMHj06hx12WPr3718694EPfCBNTU3ZtWtXBg4cuEef6urqVFdXd6U0AACAd6VLM0cDBw7MtGnTsmLFitK5jo6OrFixIvX19Xvtc/rpp+fpp59OR0dH6dy6desyevTovQYjAACASujysrrGxsb84Ac/yD//8z/n17/+dT772c+mtbW1tHvdnDlzsmDBglL7z372s3nllVdy8cUXZ926dfnJT36Sr3/965k/f3733QUAAMC71OWtvM8777y8/PLLWbhwYZqamnLKKafkjjvuKG3SsH79+vTr92bmGjduXO6888584QtfyOTJkzN27NhcfPHF+eu//uvuuwsAAIB3qaooiqLSRbyTlpaW1NbW5sH/+9MMHfqeJOn2bbwHPr/xbb8/alDnZ6rahh3Xrdcvu4mTKl0BAAC8a9u3teSDJ4xPc3NzampquvW3y75bHQAAQF8gHAEAAEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJAfwElj6qHVPvPm3dx4BAMAezBwBAABEOAIAAEhiWd0Bq976VOnvtmHHVbASAACgO5g52k8v7GzKCzubKl0GAABQJsIRAABAhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEhyiL/naODzGytdAgAA0EuYOQIAAIhwBAAAkEQ4AgAASCIcAQAAJDnEN2Q4ZK17ovPniZMqUwcAAPQiZo4AAAAiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMmAShdwMKje+lTp77Zhx1WwEgAA4EAJRyTrnnjz74mTKlcHAABUkGV1AAAAEY4AAACSCEcAAABJhCMAAIAkwlGXvbCzKS/sbKp0GQAAQDcTjgAAACIcAQAAJBGOAAAAkhxiL4Ed+PzGSpcAAAD0UmaOAAAAcoDhaMmSJZkwYUIGDRqUGTNm5IEHHtivfjfccEOqqqpy7rnnHshlAQAAyqbL4ejGG29MY2NjLr300jz44IOZMmVKZs6cmc2bN79tv+effz5f/OIXc8YZZxxwsQAAAOXS5XB05ZVX5lOf+lTmzZuXE044IUuXLs2QIUNyzTXX7LNPe3t7Lrzwwlx22WV53/ve964KpszWPdH5AACAQ0SXwtGuXbuyZs2aNDQ0vPkD/fqloaEhq1at2me/v/3bv83IkSPz53/+5/t1nba2trS0tHQ6AAAAyqlL4WjLli1pb29PXV1dp/N1dXVpamraa5977703V199dX7wgx/s93UWLVqU2tra0jFu3LiulAkAANBlZd2tbtu2bfmzP/uz/OAHP8iIESP2u9+CBQvS3NxcOjZs2FDGKgEAALr4nqMRI0akf//+2bRpU6fzmzZtyqhRo/Zo/8wzz+T555/P7NmzS+c6OjreuPCAAXnyySdz7LHH7tGvuro61dXVXSkNAADgXenSzNHAgQMzbdq0rFixonSuo6MjK1asSH19/R7tJ02alEceeSRr164tHX/yJ3+Ss846K2vXrrVcDgAA6DW6NHOUJI2NjZk7d26mT5+e0047LYsXL05ra2vmzZuXJJkzZ07Gjh2bRYsWZdCgQTnppJM69R82bFiS7HH+YFG99akkSduw4ypcCQAA0BVdDkfnnXdeXn755SxcuDBNTU055ZRTcscdd5Q2aVi/fn369Svro0wAAADdrqooiqLSRbyTlpaW1NbW5sH/+9MMHfqeJMkzO9Z3+XcGPr+x22o6atCez1i91UEzczRxUqUrAACAku3bWvLBE8anubk5NTU13frbpngAAAAiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCQHsJU3h5h1T7z5t53rAAA4iJk5AgAAiHAEAACQRDgCAABIIhwdsBd2NuWFnU2VLgMAAOgmB/2GDAOf31jpEgAAgD7AzBEAAECEIwAAgCTCEQAAQJJD4JmjSqne+lTp77Zhx1WwEgAAYH8IR+y/dU90/jxxUmXqAACAMrCsDgAAIMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJhCMAAIAkwhEAAECSZEClC+huA5/fWOkSDh3rnnjz74mTKlcHAAB0AzNHAAAAEY4AAACSCEfv2gs7m/LCzqa3bVO99alUb32qhyoCAAAOhHAEAAAQ4QgAACCJcAQAAJBEOAIAAEgiHAEAACQ5CF8CS4W89YWwiZfCAgDQ55g5AgAASB+cOXpmx/o9zg18fmMFKgEAAA4mZo4AAAAiHAEAACQRjgAAAJL0wWeO+rLqrU+V/m4bdlwFKwEAAH6XmSMAAICYOaJc3vreI+88AgCgD+iT4cjW3QAAQHezrK6bvLCzKS/sbKp0GQAAwAESjgAAACIcAQAAJBGOAAAAkhxgOFqyZEkmTJiQQYMGZcaMGXnggQf22fYHP/hBzjjjjBxxxBE54ogj0tDQ8LbtAQAAKqHL4ejGG29MY2NjLr300jz44IOZMmVKZs6cmc2bN++1/d13353zzz8/P//5z7Nq1aqMGzcuZ599dl588cV3XTx9xLonOh8AANALVRVFUXSlw4wZM3Lqqafmu9/9bpKko6Mj48aNy+c+97lccskl79i/vb09RxxxRL773e9mzpw5+3XNlpaW1NbW5sH/+9Ns6vfbXr2V91GDRu1Xu7Zhx5W5kl7Me48AADhA27e15IMnjE9zc3Nqamq69be79J6jXbt2Zc2aNVmwYEHpXL9+/dLQ0JBVq1bt12/s2LEjr732WoYPH77PNm1tbWlrayt9bmlp6UqZfUL11qdKfx/SQQkAAHqJLi2r27JlS9rb21NXV9fpfF1dXZqa9u8dP3/913+dMWPGpKGhYZ9tFi1alNra2tIxbty4rpQJAADQZT26W93ll1+eG264IbfccksGDRq0z3YLFixIc3Nz6diwYUMPVgkAAByKurSsbsSIEenfv382bdrU6fymTZsyatTbP2vzrW99K5dffnn+z//5P5k8efLbtq2urk51dXVXSgMAAHhXujRzNHDgwEybNi0rVqwonevo6MiKFStSX1+/z37f+MY38nd/93e54447Mn369AOvtg94YWdTXti5f0sMAQCA3qNLM0dJ0tjYmLlz52b69Ok57bTTsnjx4rS2tmbevHlJkjlz5mTs2LFZtGhRkuTv//7vs3Dhwlx//fWZMGFC6dmkoUOHZujQod14K/QZb93O2851AAD0El0OR+edd15efvnlLFy4ME1NTTnllFNyxx13lDZpWL9+ffr1e3NC6qqrrsquXbvy8Y9/vNPvXHrppfmbv/mbd1c9AABAN+nye44qoS+952i3/X3fUXKIb+Vt5ggAgC7oNe85qrTi+Q0Z2K+50mV0u93vPDqkQxIAAFRYj27lDQAA0FsJRwAAAOljy+o4CL1157rEM0gAAFSMmSMAAIAIRwAAAEmEo7J5YWdTXtjZVOkyAACA/SQcAQAAxIYMvcru9x0lh/A7j966QYPNGQAA6EFmjgAAACIcAQAAJBGOAAAAkghHAAAASWzIUHYv7GzKUYNGVbqMvumtmzMkNmgAAKCszBz1UtVbn+q0ex0AAFBewhEAAECEIwAAgCSeOaIv8YJYAADKyMwRAABAhKMe8cLOpryws6nSZQAAAG/Dsrpe7q071rUNO66ClfQyltgBANDNzBwBAABEOAIAAEgiHAEAACTxzFGP2r0pw1GDRlW4koPMW58/SjyDBADAARGO+hCbMwAAQPlYVgcAABAzRxyMbPMNAMABMHPUR1VvfarTMjsAAODdMXNUATZm6EE2awAAYD+ZOQIAAIhwBAAAkKSPLat7ceemvGfIoEqX0W26Y3md7b27yGYNAADsg5kjAACA9LGZI+hWNmsAAOAtzBwdRGzvDQAAB87MUS9ga+9ewvNIAACHNOHoIGSTBgAA6DrhCPbG80gAAIcc4agXsbyuF7PkDgDgoCccHeQssQMAgP0jHPVCZpB6OUvuAAAOSsLRIWT3LJIZpG5myR0AwEFBOOrFyjWDZKldGZlVAgDos4QjKCezSgAAfYZw1AeU8xkks0g9yKwSAECvJhz1IS/sbCrrJg2eSephZpUAAHoV4Yg9mE2qALNKAAAVJxz1MT29zfdbg9JuAlMP+N2w9FaCEwBAWQhHfdTukLRbT74TSWCqMMvxAADKot+BdFqyZEkmTJiQQYMGZcaMGXnggQfetv1NN92USZMmZdCgQTn55JNz++23H1Cx7NsLO5v2CEw9qXrrU3sc9IB1T+zfAQDAO+ryzNGNN96YxsbGLF26NDNmzMjixYszc+bMPPnkkxk5cuQe7e+7776cf/75WbRoUf7zf/7Puf7663PuuefmwQcfzEknndQtN8GbKjmj9LveKSCZbepBXQlIZqMAgENUVVEURVc6zJgxI6eeemq++93vJkk6Ojoybty4fO5zn8sll1yyR/vzzjsvra2tue2220rnfv/3fz+nnHJKli5dutdrtLW1pa2trfS5ubk548ePzw3f+VKGDB7UlXL5HWMH1VW6hG7TVntspUtgX94v+AIA5dG6fVs+ctqJ2bp1a2pra7v1t7s0c7Rr166sWbMmCxYsKJ3r169fGhoasmrVqr32WbVqVRobGzudmzlzZm699dZ9XmfRokW57LLL9jj///y/X+tKuQAAwEHqt7/9bWXD0ZYtW9Le3p66us6zD3V1dXniib0v22lqatpr+6amfT8fs2DBgk6BauvWrTn66KOzfv36bv8PAG/V0tKScePGZcOGDampqal0ORzEjDV6irFGTzHW6Cm7V5UNHz6823+7V+5WV11dnerq6j3O19bW+h8bPaKmpsZYo0cYa/QUY42eYqzRU/r1O6C95d7+N7vSeMSIEenfv382bdrU6fymTZsyatTeH/wfNWpUl9oDAABUQpfC0cCBAzNt2rSsWLGidK6joyMrVqxIfX39XvvU19d3ap8ky5cv32d7AACASujysrrGxsbMnTs306dPz2mnnZbFixentbU18+bNS5LMmTMnY8eOzaJFi5IkF198cf7wD/8wV1xxRc4555zccMMNWb16db7//e/v9zWrq6tz6aWX7nWpHXQnY42eYqzRU4w1eoqxRk8p51jr8lbeSfLd73433/zmN9PU1JRTTjkl3/nOdzJjxowkyZlnnpkJEyZk2bJlpfY33XRTvvzlL+f555/Pcccdl2984xv54z/+4267CQAAgHfrgMIRAADAwab7t3gAAADog4QjAACACEcAAABJhCMAAIAkfSAcLVmyJBMmTMigQYMyY8aMPPDAA5UuiT5m5cqVmT17dsaMGZOqqqrceuutnb4viiILFy7M6NGjM3jw4DQ0NOSpp57q1OaVV17JhRdemJqamgwbNix//ud/nu3bt/fgXdAXLFq0KKeeemoOP/zwjBw5Mueee26efPLJTm127tyZ+fPn58gjj8zQoUPzX//rf93jRdnr16/POeeckyFDhmTkyJH5q7/6q7z++us9eSv0cldddVUmT56cmpqa1NTUpL6+Pj/96U9L3xtnlMPll1+eqqqqfP7zny+dM9boLn/zN3+TqqqqTsekSZNK3/fUWOvV4ejGG29MY2NjLr300jz44IOZMmVKZs6cmc2bN1e6NPqQ1tbWTJkyJUuWLNnr99/4xjfyne98J0uXLs3999+f97znPZk5c2Z27txZanPhhRfmsccey/Lly3Pbbbdl5cqV+fSnP91Tt0Afcc8992T+/Pn55S9/meXLl+e1117L2WefndbW1lKbL3zhC/nxj3+cm266Kffcc09eeumlfOxjHyt9397ennPOOSe7du3Kfffdl3/+53/OsmXLsnDhwkrcEr3UUUcdlcsvvzxr1qzJ6tWr86EPfSgf/ehH89hjjyUxzuh+v/rVr/KP//iPmTx5cqfzxhrd6cQTT8zGjRtLx7333lv6rsfGWtGLnXbaacX8+fNLn9vb24sxY8YUixYtqmBV9GVJiltuuaX0uaOjoxg1alTxzW9+s3Ru69atRXV1dfHDH/6wKIqiePzxx4skxa9+9atSm5/+9KdFVVVV8eKLL/ZY7fQ9mzdvLpIU99xzT1EUb4ytww47rLjppptKbX79618XSYpVq1YVRVEUt99+e9GvX7+iqamp1Oaqq64qampqira2tp69AfqUI444ovinf/on44xut23btuK4444rli9fXvzhH/5hcfHFFxdF4d80utell15aTJkyZa/f9eRY67UzR7t27cqaNWvS0NBQOtevX780NDRk1apVFayMg8lzzz2XpqamTuOstrY2M2bMKI2zVatWZdiwYZk+fXqpTUNDQ/r165f777+/x2um72hubk6SDB8+PEmyZs2avPbaa53G26RJkzJ+/PhO4+3kk09OXV1dqc3MmTPT0tJSmhWAt2pvb88NN9yQ1tbW1NfXG2d0u/nz5+ecc87pNKYS/6bR/Z566qmMGTMm73vf+3LhhRdm/fr1SXp2rA3opnvpdlu2bEl7e3unG0ySurq6PPHEExWqioNNU1NTkux1nO3+rqmpKSNHjuz0/YABAzJ8+PBSG/hdHR0d+fznP5/TTz89J510UpI3xtLAgQMzbNiwTm1/d7ztbTzu/g52e+SRR1JfX5+dO3dm6NChueWWW3LCCSdk7dq1xhnd5oYbbsiDDz6YX/3qV3t85980utOMGTOybNmyHH/88dm4cWMuu+yynHHGGXn00Ud7dKz12nAE0JfNnz8/jz76aKf10tCdjj/++KxduzbNzc25+eabM3fu3Nxzzz2VLouDyIYNG3LxxRdn+fLlGTRoUKXL4SA3a9as0t+TJ0/OjBkzcvTRR+ff/u3fMnjw4B6ro9cuqxsxYkT69++/xy4UmzZtyqhRoypUFQeb3WPp7cbZqFGj9tgE5PXXX88rr7xiLLJXF110UW677bb8/Oc/z1FHHVU6P2rUqOzatStbt27t1P53x9vexuPu72C3gQMH5v3vf3+mTZuWRYsWZcqUKfn2t79tnNFt1qxZk82bN+f3fu/3MmDAgAwYMCD33HNPvvOd72TAgAGpq6sz1iibYcOGZeLEiXn66ad79N+1XhuOBg4cmGnTpmXFihWlcx0dHVmxYkXq6+srWBkHk2OOOSajRo3qNM5aWlpy//33l8ZZfX19tm7dmjVr1pTa/OxnP0tHR0dmzJjR4zXTexVFkYsuuii33HJLfvazn+WYY47p9P20adNy2GGHdRpvTz75ZNavX99pvD3yyCOdAvny5ctTU1OTE044oWduhD6po6MjbW1txhnd5sMf/nAeeeSRrF27tnRMnz49F154YelvY41y2b59e5555pmMHj26Z/9dO6DtJHrIDTfcUFRXVxfLli0rHn/88eLTn/50MWzYsE67UMA72bZtW/HQQw8VDz30UJGkuPLKK4uHHnqo+M1vflMURVFcfvnlxbBhw4of/ehHxcMPP1x89KMfLY455pji1VdfLf3GH/3RHxVTp04t7r///uLee+8tjjvuuOL888+v1C3RS332s58tamtri7vvvrvYuHFj6dixY0epzWc+85li/Pjxxc9+9rNi9erVRX19fVFfX1/6/vXXXy9OOumk4uyzzy7Wrl1b3HHHHcV73/veYsGCBZW4JXqpSy65pLjnnnuK5557rnj44YeLSy65pKiqqiruuuuuoiiMM8rnrbvVFYWxRvf5y7/8y+Luu+8unnvuueIXv/hF0dDQUIwYMaLYvHlzURQ9N9Z6dTgqiqL4h3/4h2L8+PHFwIEDi9NOO6345S9/WemS6GN+/vOfF0n2OObOnVsUxRvbeX/lK18p6urqiurq6uLDH/5w8eSTT3b6jd/+9rfF+eefXwwdOrSoqakp5s2bV2zbtq0Cd0NvtrdxlqS49tprS21effXV4i/+4i+KI444ohgyZEjxX/7Lfyk2btzY6Xeef/75YtasWcXgwYOLESNGFH/5l39ZvPbaaz18N/Rmn/jEJ4qjjz66GDhwYPHe9763+PCHP1wKRkVhnFE+vxuOjDW6y3nnnVeMHj26GDhwYDF27NjivPPOK55++unS9z011qqKoije1ZwXAADAQaDXPnMEAADQk4QjAACACEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEmS/w86aYvNkJrC7gAAAABJRU5ErkJggg==", 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