{ "cells": [ { "cell_type": "markdown", "metadata": { "lines_to_next_cell": 2 }, "source": [ "by Andreas Bauer and David Boehringer, 19.06.2020\n", "This script contains two examples for 3D-PIV: The shift of a bar of binary pixels in one direction, the expansion\n", "and a real data set where we recorded two stacks of collagen fibres at the same field of view with confocal microscopy\n", " in reflection mode. One stack contains a NK cell that deforms the matrix and the other doe not.\n", "Please download the data at https://github.com/fabrylab/3D_piv_example_data.git (180 MB, unpacked) and provide the\n", "folder in the code below.\n", "We tested this on ubuntu 16 and 18, with Anaconda Python installation. The whole script\n", "takes about 5 minutes on my 4 core-intel i5 @2.5 GHz Laptop. You should have !!! 8 Gb ob Memory !!!! or take care not\n", "to open all matplotlib plots as interactive windows at once.\n", "For questions contact andreas.b.bauer@fau.de\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from openpiv.pyprocess3D import *\n", "from openpiv.PIV_3D_plotting import *\n", "from openpiv.validation import sig2noise_val\n", "from openpiv.filters import replace_outliers\n", "from openpiv.lib import replace_nans\n", "import glob as glob\n", "import os\n", "from natsort import natsorted\n", "import matplotlib.animation as animation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make save_plots = True if you want to compare the \n", "visual results " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "save_plots = False\n", "out_put_folder = \"output_3D_test\"\n", "if save_plots:\n", " if not os.path.exists(out_put_folder):\n", " try:\n", " os.mkdir(out_put_folder)\n", " except:\n", " print(\"could not generate output folder\")\n", " save_plots = False" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "############ a group of bars shifted by 1 pixel to the each dimesion the second frame #############\n", "takes ~4 seconds" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# constructing frame 1 and frame 2\n", "size = (32, 32, 32)\n", "shape1 = np.zeros(size)\n", "shape2 = np.zeros(size)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "shape1[16, 16, 25:27] = 1\n", "shape1[16, 16, 7:9] = 1\n", "shape1[16, 25:27, 16] = 1\n", "shape1[16, 7:9, 16] = 1\n", "shape1[25:27, 16, 16] = 1\n", "shape1[7:9, 16, 16] = 1" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "lines_to_next_cell": 2 }, "outputs": [], "source": [ "shape2[16, 16, 24:26] = 1\n", "shape2[16, 16, 8:10] = 1\n", "shape2[16, 24:26, 16] = 1\n", "shape2[16, 8:10, 16] = 1\n", "shape2[24:26, 16, 16] = 1\n", "shape2[8:10, 16, 16] = 1" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "window_size = (4, 4, 4)\n", "overlap = (3, 3, 3)\n", "search_area = (5, 5, 5)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 164.21it/s]\n" ] } ], "source": [ "u, v, w, sig2noise = extended_search_area_piv3D(shape1, shape2, window_size=window_size, overlap=overlap,\n", " search_area_size=search_area, subpixel_method='gaussian',\n", " sig2noise_method='peak2peak',\n", " width=2)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/user/miniconda3/envs/windef/lib/python3.8/site-packages/mpl_toolkits/mplot3d/art3d.py:763: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " if zdir == 'x':\n", "/home/user/miniconda3/envs/windef/lib/python3.8/site-packages/mpl_toolkits/mplot3d/art3d.py:765: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " elif zdir == 'y':\n", "/home/user/miniconda3/envs/windef/lib/python3.8/site-packages/mpl_toolkits/mplot3d/art3d.py:767: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " elif zdir[0] == '-':\n" ] }, { "ename": "TypeError", "evalue": "cannot unpack non-iterable Figure object", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mfig3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mscatter_3D\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msig2noise\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontrol\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"size\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# 3d quiver plot of the displacement field\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mfig4\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mquiver_3D\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"coolwarm\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mquiv_args\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"arrow_length_ratio\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0.6\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mTypeError\u001b[0m: cannot unpack non-iterable Figure object" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", 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0iIKCAhISEqb8XnyFgIAgBCZ1EgRBCfwbsAFoAK4LgnBCFMWHHof9b+ANURR/KQjCWuBvgVfGO++3lmiKiop49dVXKS4u9nk2Zt26ddy5c4dDhw6Ne+x4EY1Wq2XHjh309vZy/PhxVqxYMeG5HueT0u12YzabefDgAQ0NDWg0GlJSUsjIyGD16tU4HI5hheWRqZuEr8untdlspqKigri4OI4fPy4PDy5dunRSw4OPS55ShJienk5VVRXnzp3D7Xaj0+lYuHAhy5Yto7CwkNjY2Me6zmNBAAKXOi0EKkRRrAIQBOEQsBPwJJoZwA8e/fsMcHyik37riMZz/ewzzzwzbjQhIScnh5kzZ1JUVMTly5cnPH6siCYuLo5nnnmGixcvUlxcTHh4+ISTwYFYt+IJu91ORUWFPBMk6ZrmzJnDli1b6OvrG1Ne8CQiGm/wbG9PNDwo1au8DQ+qVCq/RwXGglqtxuFwyMRjs9mGuQ8aDIZhxPNVuw/6UQyOEgShyOPr/xRF8T89vk4E6j2+bgAWjTjHHWAPQ+nVbsAgCEKkKIpjMv+3imhGrp91Op3jzsYolUrWr19PaGgo169fp6+vz6freItoCgoKyM/P5+jRo3R3d4953EgEmmhGYqSuSYoQli9fTnR0tPxG1el0k67vBBrjFYO9DQ+mpqayefNmwsLCaGpqkiMezxmbx4VKpfKahkrpdWdnJx9//DHnzp3D4XBgNpvZv38/c+bMCcj1J4IfxeAOURQLH/Nyfwj8qyAIvw6cBxqBcav33xqiOX36NH/5l385ajZmLKKJiIhg586d3L9/n08//ZSCggKf91h7trc1Gg3bt29ncHBwlObpq5Ig+HOOkRFCTEwMJpOJvLw8uRUtpVqTIZ5AREX+dJ2k4cGrV6+OGh7U6/VotVpyc3MnPTwoQYpoJoJEPK2trTQ3N381RCMICIHbwd4IJHt8nfToezJEUWxiKKJBEIQQYK8oij3jnfQbTzTS+tnTp0+PqsWMFdHMmjWLxYsX88EHH9DS0gL4VuCVILVgY2Ji2LFjB1euXOH+/ftej/PFNuFJ1kfa2tpoa2uTO1c9PT2kp6dTUFCAWq2mrq6O6upq6urqJnyjjfSimSyUSuWkzjNyeDAiIoLt27cPcx6sr6+Xp5Z9GR6UoNFofC6sw9DrKSIiwu/fYdIIXFR8HcgSBMHEEMG8ALzkeYAgCFFAlyiKbuCHDHWgxsU3mmg818966yo5nc5h5KFWq9m0aRNqtZo33nhj2AvN5XKh0Wh8uq7L5SI7O5uUlBSv9hASxotopE/+qU6d/IHb7aahoYGGhqFOpVqtJiUlBZPJxKpVq3A6nXK042mYJSFQROOPBGGi8/T19XHu3Dngy+FBSZkOyEQ6kfTD14hGgtPp/MqIRhCEgH1YiaLoFAThvwGfMtTe/rkoig8EQfgfQJEoiieA1cDfCoIgMpQ6/fZE5/1GEo239bPe4BnRREdHs2PHDm7cuCGnDZ6YSOskQa1Wk5GRIdtDjPfiHI9osrKy5IG+r4uociQcDgeVlZVUVlYCoNPpZMOszZs3Yzab5UJsa2urvELmcRGogb2RxWBfhwcl50HPexirRjMW3G73V7sVIoAfVqIofgR8NOJ7f+7x76PAUX/O+Y0jmrHWz3qDRB7z5s1j/vz5nDhxYswRfl9Sp6ioKHbu3ElPTw+3bt2asNDoLVpRKpVs3LgRvV5Pa2srM2bMQKvVotPpqKqqemKiSl/maKxW67CZl7CwsGGtZ0koGh4eTk9Pz6TvJVBEo1Qqx30uxxoenDlzJhs3bsRisciFZX8jGlEUv1JP5OnJ4ADi1q1b/N3f/R21tbU+/dFFUWTp0qW0t7fLVgJjYSKimT17NosWLeLEiRNkZ2f7LEHwJJqwsDB2797N/fv3OXPmDIODg7S1tREfH09jY6P8yTo4OEh1dTVVVVVyDWmqMZmBvd7eXu7cucOdO3cASE5OZvv27WzatImwsDAaGxvlVGus4UdvmKqIZiJ4Gx5MS0ujoKCAuLg49u3bJxOPL8ODX5kj4JBPxFdzrUniG0E0nutnX3nlFV599dUJHxMXF8f8+fMpKyvj448/9uka3shDpVKxadMmNBqNXNfJzMz0W1QpyRo++ugjGhsbh4kq3W73MFGlwWDAZDKxaNEi4uLiaG9vp6qqiurq6jGNpgKRfj1uZNTV1UV3dzeHDx+WO0Amk4n58+ej0WiGFZbHK8ROthg8Eo87R2M2m7l37x737t0jNjaWTz/9lLS0NJYsWUJsbOy4w4OBrJv4ggB2naYEX3ui8XX9rCcWLFjArFmzuHHjhuzONhFGFo7hyxb4nTt3ZJ0R+N6hklKnlStXkpSUNEzWIL2pvXWdzGYzd+/e5e7du8BQfSk9PV02mmpoaKCqqoqamhqf18BMhEC8KTxrNJ4doIsXL6JSqeTCsrQCRop2GhoahhFLoIrBgRzYA9+HB4uLiyf9fAqC8HNgO9AmiuKsR9/7B+AZwA5UAr8xrJ0c2MngKcHXmmjOnz/Pn/3ZnzE4OOjTCy8oKEge/3/jjTeYOXOmz+HrSPKYMWMGS5cuHdYCl+CrqFKn02E0GlEoFBw8eNArIfjSdWpvb6e9vV2eFUlKSiI9PZ0lS5YAQyTR19dHfX39pCOBQGidxus6OZ3OYYVYnU43rB4yMDAgF5afVOrkL0YOD8bGxpKYmEhPTw+iKPLd736X7du3s2vXLn9O+zrwr8AbHt/7DPjho47Q3zHUUv6TL388vddpUvBcP+uLTgkgKSmJLVu2cP78eUpLSwHfO0nw5WyMNC1sMBh48803vUZRvvjRxMfHs337dgYGBjh79uyYx/k7sCctg6urqwO+JFdJZmA2m+U0a6zCtzdMNdGMhNVqpaSkRPZcDg0NJS0tjcWLF5OWliavfqmurpYnrf3FVBPNSEhiV7VaTXBwMN/73vdobGyc+IEeEEXxvCAIaSO+d9LjyyvAvlEP/Jpo1cbC145o/F0/C7Bs2TIyMjI4cuTIsBrGRBIETzidToKCgnjllVd48OABn3766ZjHut3ucc87f/588vPzefvtt9m7d6/XY8ZLnfzB4OAgnZ2dVFZWUlNTQ1hYGOnp6axYsYKoqChaW1vlwnJ/f/+453pcohEEYdIRVV9fn5wuLl68GEEQUCqVbNiwgfDwcFlaUF1d7XM6HCii8Xc+yO12o9VqWbRopEQoIPhN4PCw7whMW3n6ismsn9Xr9fKO67feemvUi8EfoklJSSEtLY0DBw7Q1NQ07rFjpU5qtZqtW7fidDp58803cblcE5JIoLcg9Pb2cuvWLXk9blxcHOnp6ezcuZOgoCDq6+vl/UmenbtA12geB0qlkq6uLoqLi7l+/TqCIMiF5d27d6PVaqmvr5ftI8YqLKtUKr+mf8eCvzM0LpdrSpbfCYLw/wJOYP+In0xHNL7An/WzUi0lOTmZjRs3curUKTnvHwlvBd6RUCgUrF27ltjYWBoaGiYkGc978ERERAS7du3ixo0bcrt3PAR6MngsopC0QF988QUqlYrk5GTS09NZuXKlbCFRVVX1ladO42FkjUYURZqammhqauLSpUvy72EymVi+fDlut1v24GloaJAfG6iIxt8ZGrfbHXCieSRg3A6sE0f+oQQQlF+Lt/KYeOJ35+/6WYfDwerVq4mLi+PAgQPjpgMTRTShoaHs2rWL8vJyjh8/zjPPPOPTPY+MaHJzc1m+fDnvv//+qPmKsd68gUqd/IHT6ZQtQGFoQM1kMjFv3jyys7NJTU0lPDyc6urqCVfJeMNUEc1IjPw9goKCSE1NJS8vjw0bNmCxWKiuriY8PNyvOtVY8Ffn5Ha7CQ4OfuzrSnjkePfHwCpRFL0MJAnTXaexIK2fvX//Pm632yeSMRgMxMbG0tzczIEDByb8BB6vGJyRkcG6dev4+OOPqa+vJygoaMLoJ7mjgwGtFvfgoLyPae3atURGRvLxj39MiNlMb0QEgz5opjwjmiclqrRYLLI38dq1a+no6ECj0bB+/Xq5LiK10X0ZuHucGo0n/G1vDw4OUlpaKjcBpDmk/Px8+f8SMU2GQP2NaFwuFyEhIX5fB0AQhIMMaYmiBEFoAP6CoS6TFvjs0WvliiiK/1V+DATMYW+q8ESIxnP97Jo1a9DpdBN2FjIzM1mzZg3t7e3cuHHDpzDfW+okCIIcEb311lvyG2jCDpUoIgCJ3d3EnDuHNjqafVlZtFZU8M7Jkyg0GhIUCubW1NAbHExDRARmHz7VApE6BWqORtIuFRUVIQgCCQkJpKenU1hYiFKppK6ublyZxFcV0UwEaQ4pLi6O4uJiLBYLJpOJdevWYTQa5YV31dXVExbIYXI6J4PBMKl7F0XxRS/ffm3cB03P0YzG5cuX+eEPf8jg4CBOpxOHwzGualqqoURGRrJ//342bNjg887lkalTSEgIu3btoqamhoMHD446dtyIRhCoe+SatqiwkNzUVC4dPYqzvp6FViuDajXtQeGURCYSIlrJbWqiRxHK4MMSEMVRxbpZs2YRERFBT0/PlNZo/IEnYYmiKA/cXbhwAY1GM0yAaLVa5ShBmjP6uooqOzs76ezslAk0Li4Ok8nEzp070el0wwrL3jqdk0mdwsLCHvv+fce0BEGG5/pZzz+mw+EYkzjCw8PZuXMnpaWlnDp1CvC/ZS0dm5aWxsaNGzl58qTX1a2+RhaLFy9m9uzZVDc2clsQICUFQRQJGRxksMNIdeMMwsUe2lVt9IhGbr9uJdUloIztocMYCmo1mzdvRqVSUVxczKxZszCZTOj1enmgzRcv3EBjomKw3W6fUCbR29sbkDW0UylBEEWR5uZmmpub+eKLL+TGgslkYunSpQDDzN1dLtekBJWTTZ0mjWkJwuj1s54Yi2jy8vJYvnw5H3744bBOkMPh8PnFLKVD0hK4/fv3+zSDoXE4MA4M0KPXY3t0b1qtlmeeeYbe3l6u/fSnxM+bJ0cqoiDgUCpJ0tQSH1fPoDMYuzUYh1XFgD2UYvssXDVK8uvvUzgb2ktKuPbIeqGnpwen08n58+dJT0+Xx9kbGxvlwbuJOnFPQoLgTSYhLWL73ve+N0om4Q++yslgl8s1bG+4ZB2Rk5PD+vXrsVqtDAwMYLVafe7MiaL41UY006JK7+tnPWG324cRjaeNwhtvvDHqRep0On1OnTQajayM9qV4LEHldmMcGMDU1oZLocARG8vspUu5desW9ysrmaFUorp0iTkdHTRERtIZEoJbEHCoVCjcbvSqAQx6M31iOKI6DFuPDbs7iHOuVRTfbmNe5+cQEwN8WQzu6enh5s2b3Lx5U66PZGRksHDhQgRBoKamhsrKSq+GU/DkN1W2t7dTWlqKzWbj7Nmzo2QSUht9pK7JG56kBGGkdURISAgrV64kISGB733ve3R3d8sp41iR51dONPD01mjGWz/rCc+IJjIyUhYx3rhxY8Ljx4O053oiCYDXe9dqKUlMBFFkXloaM8PCeHjiBIaODuZrNLji4nAULqHp8gWSOzowtbVRHR5DY3g44rAQtpff+U4eDx48IDPTxDvvnKCvb4A61RDJSG/ukSThWR85f/48Wq12mOFUb28vlZWVVFVVTXo83xsCNUfjTSaRlpbGzJkz2bRp04Qyia+T1qm/v5+2tjaampq4ffs2ERERmEwmOfJsaWmRC8vSymS32014ePhj379feBojmonWz3rC4XCg1+vJz89n4cKFXmdRPOFLjcZzz/Xzzz8/qd9BiqyCgoI48sEHOKKiyO/vRyGKaM1mzn1qo7F7CW3qNqK1zZTUzye5tp4YYy3NSXocajVqtRqj0UhYWBgHDhx4JF348hpSO3ii2pDNZhvWvjUajaSnp7NhwwbCwsJkq4mGhga/0xTPe5mqgb3BwcFhuiZvMgmJePr7+7926m21Wi0bm3d1ddHV1cWNGzcQBEHeGvrMM88QHBzMyZMnGRwcnFStagzldgRDkoM0oAZ4ThTF0Z8uT9NksLR+9t///d99FkOKosisWbNobW3ll7/85YRFt/FqNDqdjh07doy559obQqxWXEolVo8oKTQ0lN27d/Pwzh3qzp7FGRoKCgXFSUmEWSykDg6yIegijWorzUI87dYYBLeDLtFIfVcKcV0tZIdWseh3n8dqtfLZZ5+Nme5MZo6mu7ubGzducOPGDRQKBdu3byciIoIXX3wRURSprq6msrKSpqYmn8kjUBIEX57ziWQSktNdWVmZX0XYkZjqyWBRFOXJ68uXL6NUKgkODsZqtfLP//zPvPbaa7zzzjvExcX5eqnXGa3c/lPgtCiKPxIE4U8fff0nwx4lCE+P1snpdPI7v/M7REZGEhsb63Vn9UjExMSwZs0auru7ee+993y+jrfUKTExka1bt3L27FmflsZJMA4MkNDdjQj0f/AB+TodC7Zt45NTp+ioqSGzr4+09nYaIyJoDg+nIzSU0OBgko1GnNZ7pNhryBbL+Yhn6CIKBS5qSONh30yK//oWS5ZXEORwYlGOfiFMlmg84Xa76evro6GhgYqKCoKCgjCZTMydO5dt27bR1dUld7PGs9cMREQz2XOMlEn8xm/8BomJiSxatGiYTMIf4oTAtdt97Tq5XC55B/qpU6fIzMz0a57Gm3KboS2Rqx/9+5fAWUYSDYDiKek6qVQqWltbCQ4O9mmbwPz585k7dy5nzpwhLS3N5+tIKmtPLFq0iNzc3FHqbV9QHxVFfWQkOrudfJOJzPv3KfnrvyZOEAjS62kxGnEoFCT09LCgspLmsHC6U1PRbNnC3Uc5OYBerCTEXItWnE1HpwJVdxcWQctnNw0obNkkGSpwJAxi0X15776mTv5gcHBwmB1lZGQk6enpbNq0idDQUFlUWVNTMyqt/TponaTZqtOnT+NyuYbJJLZt20Z3d7ecZk1myncymMxkcGRkZKAKwrGiKDY/+ncLMHr37tMU0cCQ45jdbh+XaLRaLdu3b8dqtfLGG28QERFBVlaWz9fwLAZ77rl+8803J/0i1wUHs/PFFwmJi+PnV6+iTE0lv66OkMFBdAMOzps30qvpIDyoDXWfk9YrMZTWf0BIsIV+/dD0b5hCwRqthUH3ZRpV7dij1LRYkjArVLS71DzoKUTR4yZLWYI+tZG2Rw75U71AThpWu379umyalZGRwbJly3C5XHKa9XUTVUrn8ZRJwJB4NT09fdIyiclgMqLKqSgGi6IoPlpxMhpPU41Gyk/HIhrJDOrSpUvyitaJiGkkpGJwXFycfC7p03tciCJqlwvHiPqOdE/nP/2UxWvWIAgCTpWKyrg4jP39RPX2sUZ9kgYhiWZLAm2OWELFfi42pqJ0xZGteYh6jp61v/oKVz77jLqKClQRESjdbhxBbpITjDgqGtDZ+rDYQml3xxBlHxIDBiJ18gcju0E6nQ6TyURBQQE5OTkYjUYePHhAVVWVz+uBPREordN4pCcVY32RSQQKkxnY0+l0gbp8qyAI8aIoNguCEA+0eT3qaeo66XQ6ent7vSpXFy1aRF5eHm+//fawWoE/A3jS8YmJiaSlpXHs2LEJ27vSC1bjdFJQVcWgRkNXSAhdej1Zy5YxZ+5c3n77bZLu3qW/uZkIq5V2tZoevZ4evR7D4CBBwiAznCXMd92lTwzlM3ETuN0MoOML+yrc1wXsN1/FkTCAOTr0y0+XUJElz2bQ8f5DBgYGCH60WbT2UfQrvTGflKjSarXKe7ndbjeVlZWEhoaydetWQkJChqVZvrzRAhXR+IqJZBIREREsWbJkmExiMvCXaAC/PjwnwAng14AfPfq/l2LmU+ZHExwcjN1uHxY2Sp2grq4u3njjjVEvxIm0Tp7QaDQsX76ckJAQfvazn/nUApW8Y+zAlexsQq1WoiwWViuViKdOcfWjj9AEB1MaH0/ezJmkHz9OAlAXFUW3Xs/d1FT5XMkdHcR09rDMfY4ewxzKe4woHVbcbju1YhLd9dFkNJWjj2mlNc6A+9Ebb7wazNdJVNnT00NJSQnXrl2TR/PT09NZvny57PlbWVk55ps2UMXXyWKkTOL73/8+AwMDLFq0SN5aMNE2CW/wl2gmuwFhDOX2j4AjgiB8B6gFnhv9QJ6uGo1ENBJxJCcns3nz5nE7Qb4O4El7rh88eEBMTIzPcxZSquVyuRAFAWVSEqt27eLmzZs8vH6dlI4OTK2tZDudlFhiuScsJlpZRXprM6WOPELVXfQmKBnQ6eTCscliYYWxhxn19xho66ZHDKfMnUM/NmpdqViaZ5LcXEtsWC0ui2UUkSgUCjZs2IDJZKKxsRG9Xo9Go3ksN7hATwaPHM0PDg4mPT2dhQsXDlsBU1VVJQ+qKRSKr9SjdyK4XK5hMomYmBhMJtOY2yTGgj9E8zgfHGMotwHWjfs4BMSnpesEXxKNWq1m+fLlmEwmDh8+PG6+70uNYs6cORQUFPDuu+/idrtJSEjw+Z4korHZbOTk5LBy5Uref//9oU9ltZpmoxGXUomxv59wcz2hlhiqbLO5515EhLKDOksGxt4eTCEldCaqCM3OZk1hIe7WVh40N6OKMaK32QgyWwijD7MrFB0Wakinszea9n8sITrCgiXMgUMzZFq9Z88eKioqeOONN4iPjyctLY2XX35ZXtk6XtQwVZioGGyxWLh//z73798Hht606enpPPPMM+h0Ourq6lCpVF/5fY8FbzM0bW1ttLW1cfXqVZRKJYmJibJMQhRFamtrvcok/JlUnshPesrwtNVolEolubm53L59m7feeuuxQmm1Ws2WLVsQRVHecx0SEuLXH1JS365bt46oqCjefPPNYcOEA0FBVAcFYVepmK9TkO96yGzhBkqbyF33HERRSRfhNJrXYizpJbWjmvfLP+SZ//IiDZGRX15ItGPsryDYFYTdHEKwxUj3QBSddg3NDTMxNPSSGVXPht/ewIUvvqCqqoqgoCDq6uro6+vjl7/8JXq9nvT0dBYvXkxsbCwtLS2y1GC8jkqg0hV/ziO9aa9cuSJbay5fvpyMjAxmzpwpE6YvGx2nAhMN67lcLp9lEv7A7XYHsj7jM8SnqUYTEhLC1q1b6erq8ltfNBLSnuuioqJhHrz+iCol7N69m7KyMg4fPjzmMa2hobB8OU03b2JubyeruZloWxuCwk2LU4EaF2YM3O6Ioaszmv4/PkmCoZ/WpCBcKhUKUSSpuwuVy4XK7UYluKjRpHPfvQilaKNXNHK+LYmbf1HLxsjPIS1tVNdpYGBA3owIQx2xjIwM9u3bh1KplFvR3oSVgUidJgvJWjMuLo6+vj5qa2vlSCEmJoa2tjY5zfLFaCoQ8HcqeKRMIjw8HJPJxMqVK+XXoqdMYiy4XK6vnmieNvW2Vqvl7bffZtOmTY91ntmzZ8u6p7a24d08f7pUycnJpKamcvr0aW7dukV0Xx/moCCvVptqtxuXXo81MpJ2u532sDA0Dgc5vS2sCbPSXd9K3UAIzWI8PY4wOl1h1HUuIbqznXhDFR0mNfdTUoadUxThxbUx2AacuAfdnD9zDbEfaiOj5GPG6zpJvikXL15Eq9ViMpmYPXs2W7Zsobu7m4qKijGN2f1FIOdo+vv7h9VGYmNjh0kMpBSlrq5uymo6Ul1usujp6ZFlEt/97ne5evXqsN9BWu87cpvEVBiT+4SnKaLR6/X09PT4zejSC9xzz/Wbb77ptTjq61K4RYsWkZOTQ1lZ2VD4LoqEDwyQ0dKCQ6WiMySEzpAQzDodCAIR/f0Ihw8TEx5OmyDgUipJyMpiTkgIJVevYlGLJKiaSbY10k4CVlcwg2ipIIOH5hnk3C0mUteGM6mf/tChGYrgYB0z8rMpLS3lk08+QxEJREIvX5oi+Vo8tNlswz5xIyMjycjIYOvWrbKPstPppLa2dlJv3qkc2JMWq12+fBmVSkVqaioZGRmsWbMGq9UqRzsjP1QeB4FeHjdSJiGt9/XcJlFRUUFFRUVAZmgEQfh94LuACNxjaA3uGAJCYYRrwNcPAS8G+7MdUoLT6SQmJoZt27aN2nPtLzQaDc888wxms5m33nqL9evXD1l0CgLl8fGUx8VhGBwkwmwmq6UFjcNBV0gInQYDttWr0Vy8yIKGBoIWLCBx4UKOf/AB/Xo96PVoHA4i+/tZaD5DclAEt9q1dLii6XYYcSDQNpiAuTwUk6ac8NkKNr38Mq2treOuX5nswJ408Xvt2jVWrlyJIAikp6ezevVqrFYrlZWVVFZW0tHR4fM5v4oFck6nU743GHLqS09PZ9myZURHR9Pa2opWq0Wv1/u8KM4bpnJ53Mj1vpJMIj4+nps3b+JwOPjJT37C9u3bSRkR5foCQRASgf8bmCGKolUQhCPACwyJLr08gKcrdZrsigm1Ws2uXbs4ceLEY3UtoqOj2blzJ5cvX5ZH1kfZSggCZp0Os05HbUwMsd3d5DY1EdvXR8vhK1xwLmVWmh1Tcxlv/9knKEQVycYu2mNDGNRoaDYacSoUZNut5Ah15CnLUOHipms+9WIK4KLMPgPrjWAab7zDot1xAdUyeYPb7aajo2PYelmJdDzd+qqqqsZs4z6pBXJms5k7d+7IZJyUlERKSgq7d+9Go9FQW1tLZWWlbKvpK5RK5Ve200mSScCXDn2iKHLv3r1JEc0jqACdIAgOIBgYd+GYOE00Y0Pac63X6zlw4MBj7eCZNWsWixYt4vjx48M+xSfyr2k1GunR64no72euUc3OxsuUVYdzypaATdQSIpipa19NWmcVaZG1tMaE0B4WRsRv/iYnfvYz1C4XKqcT5YCFpL4KLLYk+m2DON3diAi890EQcSEK1NHgmJwxvt/o6+vj9u3b3L59G0EQSExMJCMjg0WLFiGKotwRam5ulonh66J1am9vp7u7m7feegu1Wk1qairZ2dmsX7+e/v5+mTAnitQCaRHhz3yTKIrExcXx27/925O+piiKjYIg/G+gDrACJ0fs3x6Bp3Ay2FeEh4eza9cuHjx44NUs3FdI+5mDg4O91nV8McqyaTTEpaSgr6/HrRwkTVVPnquIYsdMyty5KHBR6criXtscMttK0YZY6LxyF5dSiUupBI2GIKOWbRER9NhtPCh9gNOqo9scjdJhp60nlMHuAmI1jQQlt+AMn/Sv6xXjpV+iKNLQ0EBDQwPnzp1Dp9PJ2iBp8K6yshK1Wv1Ed29L8JxZcTgcct0DhgyzTCYTq1atIjIykubmZpl4JGMqCYEkGn/OE4gNCIIgGBmyhzABPcDbgiC8LIriW2M9xo+IZoYgCLeBMKBGFMU1Xq6/GfgxoAReFUXxRyN+nsKQZUX4o2P+VBTFj8a76JQQjfTCH+uFm52dzapVq2Tj8a1bt/rdsgYPg6qHD/nkk0+8HjNRzUgQBFatWkVcXBz1dXWYOzqouHePmN5eInubWGpto80di9kdhlUMQoMds9XIa2/ZSVIa0Ma3oZ6Zwo7t27lz4ACd9fWEOp1oRDM6lQOXMpaBQQV2p5oqezZCZTYvGF7jRrbvivVAwmq1DlNDSx2hhIQEnn32WaqqqqioqKC+vt5v0ghERDPeBoTe3t5hkVp8fDzp6ens27cPlUol+9bU19c/sXW4oihOeqeTB9YD1aIotgMIgvAOsBQYk2j8iGgeAkuAz4F/Gn0aQQn8G7ABaACuC4JwQhTFhx6H/XfgiCiK/y4IwgzgI4YcAMdEwAf24EvD8ZHRheeOJs/BOV9lCBJcLhcZGRmsXbuWjz/+mIaGhjGP9dzXZGptRRQEudsUpNOxa9cuWlpa+OgXvyA/MREhMRGLVktNTAzEQHpLC6n9lahdLjR2BwNiCEXuBbiUgzQ7EzDX5xLf2M77d96kNd6J8Mh0XMLq1UnU19VRV1aEyuFC1e+mVjvaUuRJQeoIJSUlcebMGYxGI3l5eWzcuJG+vj65cOuLN3GgiMaXWoznPu6LFy+i0WhIS0uT1+LCEDFFRkY+1vqayRBNAHxo6oDFgiAEM5Q6rQOKxrym4LcE4cfA56Iovu/lZwuBClEUqwAEQTjEUHTlSTQiEPro32FMUD+CKZijUSqV2O12tFrtMKLx3HMt7WiS4C/R6PV6li5dyv79+yf0IPEc8GsPDSXyUbcpRKkkcckSHn7yCfe6uggSBNSNjUSXlhKrVtMaFgaCQGNEBJ2hoahcLtROJ3qbjZDuHgyCglZXCEqxhw53ODQ7MXcFExrfiCJiQP6AEUURhVKJQ6UasqjQgRkdWq2W7Oxsv9wAx0KgRJUjRYlGo5GMjAw2btwom2ZVVlaOqeYOhKhyssbkdrt92PaCJUuWEBcXN6n1NZ6YTI0mNDR04gPHP8dVQRCOAjcBJ3AL+M9xH+R76pQGZAIVgiBsA/5TFEXPcycCnh4bDcCiEef4S+CkIAi/A+gZisDGRcBFGSOFlYAcfXzyySdefUJ8JZqgoCB27tyJKIq8++67PhkduVwuOdLq1+no1+kwrF1Lek4Olw8eRNPUxIqBATpDQuiflc9AdDgxD86T3NlJpTGBXr0Wm049LDTVxzv5tR2LKS0t5/rn9xnoNdJpiUZrt9FXm4K7USQ0oRFVpNmrejsyMpJdu3bR2NhIfn4+kZGRrF69moqKChobGyf1Zp2KdSvd3d0UFRVRVFSEUqkkKSmJzMxMVqxYgd1ul+URkszgq4xoJoLdbqe6ulpOs/xdXyNhMjUa4yNTs8eBKIp/wZB627fj8fnvrwcSvBqc+44XgddFUfxHQRCWAG8KgjBLFMUxn8gpIxq1Wj1sz/V40cfI3U7eEBcXxzPPPMO5c+fIz8+f1LZKhULB+vXrMRgMHHj/fewaDZrERLKam4kym3HcKuWmZSXd4g5StZVomx202rPIUT2EpD66wvVEREayfcECOk+fxnzvHrPsdgRB5LZuHqW2mbjdIDgEumrnElbXAzmtCB5Ek56ezrp163jvvffo6+tjcHCQ733ve7S0tDB37ly2bt1KR0cHFRUVVFZWPtYsib8Yj+BcLhe1tbWyF3RISAjp6eksXbqU6OhoWlpaCA0NnVStzROB3IAgRSKPs75mMjaeX/mqFQR/isFK4MyjD6YiURS/O+LnjUCyx9dJj77nie8AmwFEUbwsCEIQEMVYplxMIdGEhYWxfv16r3uuR2IiT5p58+Yxd+5cjh49Snd3N3l5eX7v39br9bJq+uTJLzuFdrWaBykpaOx25iuVPGO/Q09lM032RGocaWix0mxPpL8qjzx9Jet+fQaf3rrF2mee4b7bjcViQel2o3H2MsN+DpUDsClRmgWCB5y43XNQPCK6RYsWkZWVJZOuNKouiuKwqd+YmBgyMzPZvXs3arVanjptaGjwSgZPYlOlp8xAKsxu3bqVjRs3ytonKWLw5/6+ip1OE62v8Uyz/E2dXC4XERERj33/fsN3orkrimLhOD+/DmQJgmBiiGBeAF4acUwdQ3Wj1wVByAOCgHFnUwJONDqdjuDgYDZs2MAHH3zgU+va4XB4HdtWqVRs2bIFgDfffFN+4fi7fzssLIxf+ZVfGXPvNoACEBwOFGo1bp2IyV6FXrRyzbmEViJxoeSLgUJu/JuNeI2C22IDAkN/XJdCgVWjwepJlnEAWuIiI1FZrezYsQOn0ynvdxoPkjL6iy++QKPRYDKZyM/PZ8uWLXR2dsrRjqe4LxADd5MlLKkw29HRwcWLF+nv78dkMjFnzhy2bt1KZ2enHDFMZBH6JJbHjVxfI9lHLFq0iJCQENra2mhubvZpC4NkTP5VQhQE3AHyoxFF0SkIwn8DPmUo+vm5KIoPBEH4HwxFQCeAPwB+9kgmIQK/Lk7wxAScaGbNmkVUVBSXLl3yeT7GW43GaDSya9cubt26xe3bt0cd7yvRZGRkYDKZ+MUvfsFAVxeCQuFVUj+o0dCano4uLY0bn38OgCCKJLnvs3r2PGqv11NXYQanQJszhjtn2uh1pxMeU4sqpnfMDxS1Ws38+fO5du3aqO2bvryx7Xb7sE/f6OhoMjMz2bVrFxqNhpqaGrRarWw+NVkEcmBv5CaGqKgoMjIy2L59OzqdThZV1tbWjiKV8drb/mCy7W232019fT319fWcO3eOFStWEBQU5PP6GqfT+YQimsAN7D2aifloxPf+3OPfD4Fl/pwz4ERjsVi4du2aXy/akUSTnZ3NypUr+eCDD7xKEnyxipCiIZ1OR0VFBb29vSR3d5PY1UWnwUCHwUCPXi+TjtrpJOrePZTR0fI5wiMi2KTX0/nJBwTZ7aSFqXAolDT3xeMStAgOFy2N2TgblcRGVBJsGh49xsfHU1BQwL1798Zc8esv2tvbaW9v5/Lly3JLd9myZWRmZpKbmytHO/4Sz1QukOvo6KCjo4OrV6/KosrMzEzWrl3LwMCA3ELv7OwMWEQTKAmCIAjU1tbK3ayJ1tcEouv06LrhwKvALIaiht8URfHyWMc/VRIEGCIBu93ul1Tes3i8Zs0aoqOjeeutt8ZsQ06UOoWFhbF7927u3r1LfX09S5cuBYZ2OLWFhRHV10dqRwc5TU10Ggy0GwyYdToGg4KI/ugjMhwOhIIC1mzdOmRVkZSExulE63SicThI0paRlpRLXVUL9h43PfZIUroaaExVIz4q/M6cOZNFixZRVFQ0ZWtApJZuREQE/f39tLS0kJmZyY4dO9BqtXJnxZfhu0AtkPNXVCmtx127di1Go5H+/n6sVitarXbS631h6iQIY62vWbp0Ka+//jqRkZHcv3+fxYsXy/Nbk8SPgU9EUdwnCIKGIb3TGBD86To9EUxJjcZut/vF6g6Hg+DgYF566SVqa2vHNaiSjh8rojGZTGzYsIEPP/yQxsZGjEbjsD+4Ta2mMTKSxshItA4HUY82UQY5HAzGxXMlfDOp9vskPyzm03vlVKkS0BkUDGo0X/rYhMGyzbNpuGqhr60NBc00iBo5fPUkyxkzZoz5ggu0kbcUOVy5cgW1Wk1aWhozZsxg48aN9PT0yOP8Y0U7gUid/D2H53pchULBsmXLSE1N5aWXXsLlcsmTyv6Kbb+KyeCR62tUKhUDAwO89tpr/M//+T/5+OOPJ3VNQRDCgJXArwOIomgHxq1IP3URjbc5mokgeascPXrUJ+vEsSKapUuXkp6ezv79++W28HjRzzDSsdvJUKiIsbRyszmZzwZTyRTKGHTF0a+Lw5DUiE7/5Rt01HyMIKDRaNi1axdtbW0cOXJEPu5xW74Twdub2+FwDBu+i4yMJDMzU/b4lTpZUrTzdRBVut1uuru7sdvtXL16VTZEX7RoEXFxcbS2tspF5Yna/k9C6+R0OhkcHOTnP//5417WxFAX5xeCIMwBbgC/K4qi919a4OkSVYL/RLNw4UJmzpxJc3Ozz/6sI4vBGo1G3lg5sqvja4dKbzQyJzISITSUnvPnSbGKdPfFonbY0fc7aS/NRqEbJDylhmD9gLzGRYLRaGT37t1cuXJFXo4HXgjJA4GMaCaqsUgh/9WrV2VVtCQ16O3txWAwYDAYHitdCbSocqQhelxcHBkZGezZswe1Wi230EeaicNXE9GMRCBW5zyCCpgP/M6jKeEfA38K/JnX6yLgFp4i4yvwnWgkg6r+/n4OHTrEvn37fL6G5/5tacr2ypUrslBw5LET5cqpqamsX7GCO2+/TZLNhnFggCCHgzBsWFUGLG49OpeFbkskvSWxLM44MYxA0tLS2LBhw5fbFTwQ6N3agcBIVXRERAQvvvgimzZtkq02pWjHn8LsVE8GSy53ly5dkgvhkpl4b2+vbG3a09PzRGwiAhi9NgANoiheffT1UYaIZkw8damTVKMZj2iio6PZsWOHTA6CIPj1B5JqNDk5OaxYsYITJ06MaQM5kXp7wYIF5OXlcfidd0CtJmP1ah5Kzv2iiMrdQYS9iQSHg5ABC8ZuK5WqaDmiKSwsZMaMGRw4cMBrOD/ep9yTXLbmia6uLsxmM0eOHEEURVJTU8nJyWHDhg309fXJpDTR0rVAEY0vb+yR2qaIiAgyMjLYtGkTBoMBvV5PSkoKVVVVfm+Z9IQ/EU2gjMlFUWwRBKFeEIQcURRLGRqOezjuY562YrBerx9XUjBz5kwWL17MiRMnZKMrf0NOSb2dkJAwbncKhj5lvEU0SqWSrVu34na72b9/v6yJGnasIOBUKmWNVEdoKDXxyPe8ePFiBgYG5MePdX1vac3cuXNZvnw5nZ2dBAcHYzQafVJIe0Mg9ndLNZqRXSGj0UhmZiZbtmwhJCREjnbq6upG/c5PUlQp7eS+fv06SqWS73//+/IKmMHBQfl38tdczR+iCfCqld8B9j/qOFUBvzH2oX5JEJ4IvrKIRtrOGBISMqbxuK/nX7FiBcCE3amxYDAY2LNnD/fu3RvmTzyy7jIWgoOD5d1FH3744bjHjkydBEFg/fr1hISE8NOf/hSdTsev/dqvyePvtbW1lJeXe30jTyXGIqru7m6uX7/O9evXZVPurKws1q1bh9lsprKykoqKCnp6egIS0QRC6+RyuXA4HLJLgORLvGLFCqKiomhqapKH7iZScvszQBjIDQiiKN4GxpMKDD/+aSwGjxyokywiSkpK+PTTTyd9bklYeffu3UmPeSclJbFlyxavSnJfjNVjY2PZsWOH3LWZCJ5Eo9Fo2L17N42NjZw7dw63243NZsPtdnPs2DEAUlJSyMzMZN26dcPSlolG9x8XvnSdRppyh4eHk5mZKacrBoOBtLQ0rxO/viJQA3ue8PQl9lRyL1iwAEAuKvsiMRgPLpdr0r7ZjwORpzB1GvlEm0wm1q9fP6ZFhK+YPXs2CxYs4NixY6hUKmJj/TePmj9/Pvn5+WOu6Z0oosnNzWXZsmUcO3aM3Nxcn6IfiWjCw8PZs2cPly9fpry8XJ4g3bNnD6dOncLlcqFQKORdQW63W647bNu2bVhLemSX5UlsqoSh3UeeNhL/5b/8F9kSpL+/X452/EkJp4JoPDFSyR0UFER6ejrz5s1j27ZtdHR0yGmWv8vu3G73EyEahKe06yRh+fLlpKamjlko9QVSyqXX63nzzTdxOBwYjUa/q/tbt25FpVLx1ltvTaobsXLlSrkmZLPZfE6z3G43BoOBZ599lg8++IC2tjZcLhcpKSls2rRpWKdKIg+JnKS6Q1FRESqVSu6ybN68eZiVRCDwuHM0LpcLu93OZ599BgxFO56mWXV1dVRUVEy4dypQWidfMTg4yMOHD+WRhOjoaDIyMuRFcVKU5ksHTvpbPwk8dTWa4OBggoKCMBqNaDQaDhw44NMLWJqN8XwRhoSEsHv3bsrLy4elXP6IKkNCQoiIiODu3btcu3bN799HrVazc+dOuru7OXz4sPy7+Nq2zlSpqPrbQ9xJFegIN+ByucjPz2f+/PkcPHhwzE9Nb7uEysvLqaysxO12y+LKPXv2EBYWRltbGx0dHTQ1Teiq6BWB0Dp5oqenR1ZEK5VKkpOTyczMZPXq1VgsFpkku7q6hj0uUH40k4WkJZOmq7///e+Tk5PD+vXr5X3c3u4bhsj2iRHN05Y6qVQqXnnlFSwWC2fOnPH5U1JqWUtEk5SUxNatW/n0009lsyUJvu7fTkhIYNu2bfT390+KZMLCwtizZw83btyQ17tKkFKdsRBstzPbaeD0MTsPXduJt5Rj1Nexbt06wsPD/YqsPJ9DieDa29vp6Ojg8uXLLF68mPDwcAoKCti+fTutra3yG9kf28qpare7XC5qampkNX9YWBgZGRmsX7+esLAw6uvrqaiooKamZspTJ3/gcrmwWCzyh1x4eDjp6enyfTc0NMjWpna7HbfbHRBBJcgm4UVAoyiK28c7Vnwau05hYWEcPHhQNm3ytbskmV9ZrVYKCwuZOXMmhw4d8lpL8SWimTNnDvPnz+fIkSPs2bPH745IcnIyW7ZskTVTI+F2u73eg8rlIr27mxhXGMeaZ+F2uVi4MIi9L68hKCiI+vp6ufA7EoLTiehDpCb9HqIoypqmoqIiqqqqcLvdxMXFkZWVRWFhIaIoyrUSyXLT67W/wq5Fb28vN2/e5ObNmygUClJSUsjIyGDVqlXo9Xp5lH+ypuKBkFPA6NZ2T0/PsPuWBJXLli3j9u3b3Lp1i8HBwUANaf4uUMyXJuDj4qmLaNRqNTabTW5x+0M0QUFBrFq1CpfLxVtvvTXmJ9t43SGppiPteXI6nbIMwdd7mTdvHnPmzOHgwYNjChC9vZii+/rI6eggobCQy1f6iHPV0WSIBd15VKrnqK+vR6fT8f3vf5/6+nrKy8upqalBtNkw1jpwdxuwzehjwMfdzcHBwezbt487d+7IHTCFQkFLSwutra1cuHCB4OBgWV0cHR1NY2MjFRUVVFdXT3rEIJBwu93Dop29e/dit9tZu3Yt4eHhNDQ0yNGOr/MsX8WWypGCSunYe/fuMWfOHH7xi19QWOhzd3oYBEFIArYBfwP8wJfHuHnKIhoYegNMZM85EoIgsHPnTq5fv86tW7cmfd09e/ZQWVk5rKbjK9EoFApCQ0NJTU2dMLXxVgwOTUoibdMWjv/8PmqbggZtIvlLOtiz54Vha2EUCsVQzcJkwmQ3cObTHq5YkghR9hEbdMenz6bIyEh2797N6dOnh2nEPKMdhUKBxWLh3r17PHjwAFEUSUxMJCsri2XLlmGz2YZJEb4OcLvdPHjwgPPnz8vPU0ZGBitWrBg2eDfepsonoXNyOBx0dnbygx/8gN/7vd973IL2/wH+GPCx4CMgPq1E44+wMj09HZPJxNmzZydNMtKMzenTp+U5Dwm+zMfodDp2796Ny+Xi+PHjE15vZEQze/Zs5sbG8s6/XEMrDhAfVkP46izWrNvIkSNHho3vu10uBu/coe+zU5wfXMeAw0CUtofv/Fku4RGFVFdXU15e7tUjOLK3l5CcHDY+8wzHjx8fd9LV88Uu3W9DQwNNTU2cOXMGg8Egt6OjoqLYtGmTT52hqYRnjcbtdg8zRJfuV9opLkU71dXVwwjhSS2Pk4zJFQrFpFMnQRC2A22iKN4QBGG1L495Kudo4MvpYF8KtsuWLcNkMnH//v0JtTRjYdasWSxcuFA2Lx+JiRTc0dHR7Ny5k3PnzrFq1SqfrukZ0axZs4aIvj4qf/pTjFGxxPe2EPTsC8zKyOCtt94aFkkp3G7mVVfjUCqpVKaDU4FboSAs8yHH3r2HWq3GZDIxe/ZstmzZQnt7+9Ck8MNilMVOHvav4pW4pnE7VmNhZPvcbDZz+/Zt7ty5w3e+8x1KS0vJzMxkzZo1mM1mnzVOgcR4xWDpfm/fvj2qRiKtf6msrMThcASkoDwZognAqpVlwA5BELYyZPodKgjCW6Iovjzeg55KopH0TuNFNBqNRm4b79+/n6VLl/qtExEEYVgXZ6zUaDwFd1ZWFqtWreL48eN0dHSwfPlynwrHUjF437599Fy7RtPnn1OdmIipoYGYX/1VLCEhHDlyBLXNRnwp2KPsdMaH4FYoKImLZ6AhAYc1GIdCTUx6KQR9uW/aUyyYEBGBsV1Ne0k2zYPhhOkc3DEo6W/zj2S83b+E3NxcHA4HNTU11NXV4Xa75anfLVu2oNfrR/nXTBV8bW+PrJGEhISQkZHBypUriYmJQRAEcnJyHqsWNRmieVy/YFEUfwj8EOBRRPOHE5EMPKVEI0U0Wq3W68+joqLYuXPnMGsHf7dVCoLAiy++SF1dHUePHh332PGMstLS0oYJM6VIZaI3k1arJT8/nyv/+Z+I9+7x0GQiwm4nde9eymw27ly6RGSLjdaWDM6IOcRaKzFSh8rlQtekocupZ4XuLGUJCfQY9KPOr3C7SejqIqmsjHJXNlZbJOFaK0t2OcmbtYSoqCgaGhooLy+nurp6eKowKJLT2kBpStKEhkgLFy4kIyNDXokjRTsj52CkdbMbN26ku7tbnunxN6qaCJNtb/f398syg/j4eFauXEl8fDxLly7F4XDI0c5YKn9veBJEMzk8hVaeMFSj6e/v90ocubm5LF++fJS1gz9EExMTQ0REBOfPn5e3A4yHkUSjUqnYvn07VquVQ4cODSMVqZ4z3gssISGBVatWUX34MM7797mXmkpYfDwbd+7k1GefYb11i5mt/XxqeQal6CLKUIcxvY4gu51Z9fV0GvQsttTTFBbhlWQAMltaULpclGrzaOlLx6nSEmm6R3GZk+Ky+wiCQHJyMllZWaxcuRKLxULpg2IeflzLg5aZhHIDdXwvjnGixHXr1hESEsLhw4dH1XPgS1W4y+WSvV7cbjeRkZFkZWWxc+dOtFotVVVVAVntC4GRICiVSnp7ezl79ixnz55Fr9eTkZHB8uXLiYqKorGxUXbqGy/amQzRBHLViiiKZ4GzEx4HuMWntBjc1dU1LKLxNB5/8803Rzm5ORwOQkJCJjx3Xl4ey5Yto7293ed1Lp71FIPBwN69e7lz547XwvNERlmS6fj5Q4eYYTbj2LyZDJWKpUuX8skvf0lMSQlOhYIWMYF4sYnWoCgiMqswWCzMaGykLjKScIuFgSAtDdKnnyiiblYhtoQTnFVLnyGE8phYVPWxOB1RpGhqaY0WQf9l1CKKopw6CKJI/ICCkppZmO2ZhAt9zP2VbGoGur26zymVStmR8L333hv3ufM2LNjZ2UlXVxdXrlyR907NmzePqKgodu3aJQ8LWq3WCf82IxEIohlZDB4YGBi27C4xMZHMzEyWLFkyzBZj5JyRv0QjiuL0ZPAYmNKuk/Sk63Q6edf0WNYOE0U00nrdmJgY3nzzTXbv3o1KpfLJelKKaKRJ4fEEnmP51wCsWrWK2NhYDh8+jMPhoD0sjDXz55OUlERHRwep2dk0D9poKglGYVfQpI4nOush0f29ZLW0UJqQQG9wMFqnk9qoKAA0XdDXkEylI40wuonUtqJyucjvMlMbMos862dUhIaAtzWrokj0I3P1fjEYuy0XFTbSM2/T7Mxh1qxZsi6qvLyciooK3G43+/bto7S0lKKiogmfO2/Pz9Clh6Idh8NBaWkp5eXlxMXFcfnyZTIzM3n22WcRBEEeFvTVXDwQnjbjdZ1EUaShoYGGhgbOnj07as6oqalJjnYmQzTeFiF+FXgqicbTk0ZqO589e3bc8Hq84rFWq2X37t00NzfLROWrDEE6VjLKGtlqHglv8zEqlYqdO3fS09MjRwBOp5OChQvp7+/nn/7pnwgKCiInIQFXWwzBhmAWhNwjIicSStuI7+jgfkoK/Y+8SmpiYgi1WEhrb+dubyH9jjAiaSNidikqQWRJdw9xc/NR3DxDs1ZNqwfJKB0O3EolokKBxukkvqeHUp2Jsta5oFCQFXOb3jAFvR7G5DExMWRlZfHCCy8QHR1NWVnZYynpJXgSwoYNG6ipqaG1tZW2tjYuXbqETqeTzcVjY2NpamqS29GP4008Efxpb0tzRvfu3ZMtJDIzM+UtlY2NjbS2tvpMlL5q8AILAVF8ColG6jolJCRgMpnGbDt7YixZgRSOX7x4Ud5NDb6bjguCQHp6Omq1WlZ/j4eRqZOUat26dUtW+CqVSl544QWqqqq4cuXK0HW6utDcuYPTEEmWtZPqeUvIm5mB0dmP84UXGGxupqKiAsvAADMaGtDbbNQpk+h2GBEVCqKyytGIdpb3mQlbsoSbV66gtdupSn60b93lRl0fTE1nIUvCT1KXEYFdreaWejadrSksDzlDpzqS7oTRv1NbWxtut5sZM2bwzjvvEBQUNGxSWCooT8byUqFQyN3Ds2fPAl8OC1qtVh48eEBxcTGiKMpv4iVLlsgF2vLy8nGH7yaDyc7ReFpInDt3jnXr1iEIAosXLyYmJobm5mY52vGmIfsqZRyeEAH30xrRLFy4EKPRyE9/+lOfXsDeJoklT+D33ntv1GCaL3onKRJyOBzcvXvXp/vwjGikaOyTTz6hublZbvvu3r2b8+fPyxFDmMVCXkMD1dHRpHR2UhUbQ1tHB6VnzqAdtBH+D58REq9n3x/sQxAEqi99wdXzfXS2BhOkshGaVIleMcCygUEUy5dzrKwMvU6H9VEko2sVaG3OpssVhUHooTY5bGhdb1cXYu8gGVFV6F39VKZEeF32npyczObNm3n33XflN/X9+0MF5aSkJLKyslixYoWsqi4vL/e67nUk1Go1+/bto7KycpRo1duwYGNjI83NzZw7d05uR69atYrIyEhZWBkIBEqCAMjyB0EQiI+PJzMzkwULFiCK4rCdU+Ol3L5CEIRk4A0gliH++E9RFH/sy2OfytRJKgZLObwvGFmjWblyJYmJiWN6Ak+UOkVERLB7924uXbpEUFCQzyGtRDR5eXksXbqUt99+m/7+fpxOJ6mpqWzcuJETJ07IhcNIs5ms5maKExNRu1x0Ggy0hYWhdLmIaLJT357DXTGdiL46Kt94g2CtlqR2FYPWNF6eeZdBUyqtZj0pDd30LlrE2UdRm1mnI7K/n7T2dpoHE2l0qTHQS8yMYlxqBZktLYRarTTHCsR09XArLU3ekul0KIju76HbGEpeXh6LFy8eNeA3/34V1fHR1Iv1choVFhY2zDGvpqaG8vJyr7MzOp2O5557jhs3bsjrUMbDyGFBqR0tFWglwouMjOTFF1+UhwUn46M8FZPBoijS1NREU1MT58+fH5YWhoeH89prrxEaGkpnZ+fjdJ6cwB+IonhTEAQDcEMQhM8e7boeG+JT3HW6fv06zzzzjM+PkYhGWsLW0dHBoUOHxiwMjhfRpKens27dOpkQZs2aNeZMz0i4XC7mzZuHXq/n4MGDsihz7ty5zJkzZ5iJV1x3N6kj6i+dISHEd3WR2N7NJwPPgKgg0lBPZHoVKpeLjLIyXILATHUxD7s0KGbPYGVONorNm1G7XMzV66moqCCqqoqI/n6qFClUWmfhVKhJyLiHqBGZWT+kmSpJSCC/ro57KSk4VCpEt4itKYK61tlEcJ2Fr5jInDuX/fv3j5pOfs/2PKGtHYRFfqmT6u3tlWdnJKOtGTNmsGnTJjo7O+WCskql4tlnn+Xs2bOTMt4aSVpSB62hoQGTycRHH30km2YZDIZxDdG9wR8B7XgYrxgspYWShkyn0zE4OMiuXbtYtmwZP/rRj/y+niiKzUDzo3+bBUEoBhKZYAPCU1ujkbpOvr65YagYrNPpeOWVV8bc0eSJsSKaRYsWkZWVxf79++Wd177Wc1QqFRkZGXR0dMh6J4fDwfr16zEYDOzfv1/+pAyy20nq6uJOaqq8KjfYZiOvoQGHSkW9mEyM2E5zUDTRmVXoHHZm1tfTHRKCGwgdHKRj5kx2rlw5lJr98gLmtiTWbuxn165dCHY7n/zyLvXlbnI0JfTEqBB0dmbW1GPW6aiIiwPgdloagxoN2j43jTWzsDuCiKSDeVsjMWZnj5oTAlD0KxFwY3eMbaTtdDqpKC+norwcBIHo6OhhBeV79+5N2jXRE54fJKtXr6apqUlek3vz5k2USiWpqalkZWWxfv16ent7ZcIbS1n/VWudBEHAbDYTEhLChQsXAiJ/EAQhDZgHXJ3g0Kdb6+TvpG9KSgqxsbG8/vrr4/qmSBh5fml9isvlGrWt0hdRpV6vZ9++fXR3d/PgwQN5Tcpzzz1Hc3Mz77777rDjBzUabqSnD3Oft6tU1EZGYmmOQ2mDZnUcEVmlhA0ODM3QREXREh5OZnMzA0uX8szmzRz7/w7RUBpBs3Mh4XRxqbWSL958k6z2bnp783k2q5qI/Bl0x8RgffttKo1G6sLD5YlflcvFrLo6NBYnbc4cnKjYt6EfxaycMcWhtp4w4mmiyZ2Iy6VEqfT+xtDd1xNFO/Wz9bS3t6NWq5k5cyb79+8nLCxMLpI2NTXJBeXJRhJbtmzB7Xbz0UcfAV+2z91uN1VVVdTU1Mg+ytJq36CgIDm98xSgPglRpcvlkjcgBKBWEwIcA35PFEWfXOmfyohGr/c+7ToWli1bRlpaGl1dXT6RDAyPUvR6PXv37uXBgwfcuHFj3GO9QSr6njx5ErVazdq1a5k7dy6RkZFcunRpTEX5yBUXSrcbZUsIgy4dBcFFWNIGiBgcIOPRDE33o4HE4C1bmBkRwe2/+issXblYnCFECu0YZ5WiUEBufT2CKJIWfJXaDjeflKtJtljIWbeONdnZDIgiVQ0NVBUXk1VRQU1QIrcsi1EKArsXdtKfHsv106fl+9LY7dhVKnhUw0lQNOFUB2N3abBYwjAYRttSOp0qHtrnEEszerGatEfpqDQe0NDQIC//87SeGBwclAvKvtRXBEFgx44d9PX1cebMmeHPr5dhQWl307Vr10YJUCUfZZ1O95UTjdvt9vt17w2CIKgZIpn9oii+4+vjvjqX5clhyiIaX6BWq+UX2YEDB/jOd77j8zWkGo1EEp999tmYk8LjTfvm5OSwfPlyjh49itlsxul0YrVaeeaZZ6ioqGD27NnMnj2b8vJyysrKxnR909lszK6roy08jAW91TxITsKlVhDV1se9lBQGHn3arV69mvCbN6l45x3qhSSaHQmICoGorDIUgpOZtQ30BwVh0WiI7e3lTloaIlBfV09jTQjlPUbWRZwm+vlVbNuzh+L4VZS+38ammMsERaXQkx5GiccgXpDdjuteLAMRavSmIclHnLONGmU6Oe4SygXvhcuBrmjSqKZViGV2aAorVq3iwIEDcjoqIaWlZYgkGho4c+YMoaGhZGZmDquvSHuqvE0o79mzh8bGRr744guv9+GJkcOCTqeTsrIyeRAxJiaGzMxMcnJySE1Npbi4mPLycpqbmyc8tzf4G9E8LtEIQ/3x14BiURT/ydfHiQhPbzF4IkjrR4qKikb58foCqQs0d+7cCed0xhNVpqamcujQIex2O06nk5kzZ7Jw4UIOHDgg24gGBweTlZUlu75VV1fLQ2+iKGKwWplZX09NdDSJXV3UxkbT/4hsixMT0dcq0Apqtv7eNvr6+jjZ0kq/UIC1L4IIVTeqxE7UahuzautpDg+nPjKSiP5+HiQl4RYEglsEmlry6HWFEyl0UJWkofraNSpPnSK4ScumnDAyVVqMv7mNurY2REGQV8FG9PVzkdUY+zvQ0waiiNbhwKIKJoVGohQiZob/vUQR+jrjSFfdIShEw0BHNAcOHBiVFrmcCi42bGdu8BXIG/peX1+fbHepUqlITU0lNzeXjRs30tXVJddX7HY7+/bto6yszGsUOhG8RTttbW20t7djNBq5f/8+er2eBQsWEB8fT/OjOSZflsZJ8Hd5XADkB8uAV4B7giDcfvS9/0cUxY8meuBTmTpJRDNWx0ja9fTBBx9M+tMmNzeXqKgofv7zn09YFxhZo1EqlWzfvp3BwUHeeWcoOnU4HLLEYGSXxmKxyMpgpVKJyWSSx/tbiooYeP997qWkYBVFukNCaAkPH3pDd4O5PokyZwaZ4d3U1dVxs6iIuA4nHf1hrNCfpi0ilP6gIHJrG6mMjaU9LAyArpAQIs1mTPX1tNrjaHApCBV6Mc4sxa1SkNTZSUJXF5YZOaSYOzkfGk3TL35BYmIisdEZ7MjQoJk3i7s/fpsgwYrNGYzoFhEUAtcyM9FX2RhEjd5uxxwcTHR3D06Fgu6wUJxODTGKVlQhBrLSFXSXX8KePTpKtXZGoWeAFnsyakZvXxi5XjcqKoqsrCz27dtHTEwM1dXVk97aMBISISQkJJCQkMDp06cZHBykpKQEt9tNfHw8WVlZLFy4EJfLJUsj/FFzT3T9xyUaURQvwuSquoEsBguCsBn4MaAEXhVF8Ucjfv7PwJpHXwYDMaIoho93ziklGqlg6xl+Ll68mKysrEnvepLa35LGxpfio2dEI/nsPnjwgHv37gFDL5I9e/bQ19fH22+/Pa7WRlIyV1RUEN3XR153N8rNm9m+ZAmDg4OUlZVhvXWLqMoqrvesZMAVgim8l6wNFm5fu82sxkbcgNF4kX7lkLAyymymOCmJXo9IMLmzk6i+PiqUaVRb8nAq1CRm3sOpgayWFkKsVgZXrCC7spLLwcE0WSy4XVD+xSCn26GQSkJK7hFsUREd6mJgUMl803zanG00NTWRpKtF6XIRbNOAKFJStQy9wkzQvDo0ajtbYx9yqm8Rfa1lzKGedocJu0fxXRShtyuOdGqoc5uItzTjDh79vLndAhGlEBdcRwlDpJ2bm8vHH3+M2+1m4cKFxMbG0tzcTHl5+YSK6vGQkpLCxo0bOXz4sBy1SNFOc3Mzra2tnD9/nuDgYDIzM2U191hOff4gkBsQ/IYI7gAtsHi0feHfgA1AA3BdEIQTnrM8oij+vsfxv8NQd2xcTAnRKBQKtFqtrF+S6ilSFLF//36vIalUSxmrPSilW1evXsVsNpOTk+PT/UjnjYmJYefOnZw6dUpOe4KCgmSD79u3b/v8OypdLpI7OriRkMBAcTFniosxBgczt6eHRQ4HrQkFqLpFtCE64gsbaSitY059Pb3BwTgVCsItFooTE0EQ6AgNxd4bhON2PLEZ9+k36GkMN1LTl8lATxSzg+7SGh2CGOxkVl0DLoUC5e7d5Obl8Vl9PR2CgK7XSW3NXASnQCwtqE0tKDodKLR2gq067ERRf2eQxS8XsG3bNpoPHaKjpwdnVxfabgEbGmzuSDIs1Wzeth7rsWM097lJjIEOgwG9zTaMaAYGwgly2bAJQUQFNePqCEFIGd1utvaGU2SZxUbnhxhCQnju+ef5/PPPZZ/jhw8fyhqjrKwsli5dKnsZl5eXe92f5A1paWmsW7eOQ4cOjfLIGTksaLFYuHv3rvxBIw0LLl++XC5mT2ZK+UkRTYDb2wuBClEUqwAEQTgE7GTsWZ4Xgb+Y6KRTpgDT6/WyrEClUrFnzx5u3bo17ptZioC8EY00lSulWwkJCX6JKkNDQ9mxYwfvvPMOPT09uFwueY/2yZMnR+2OmggupZKbJtMwY6nugQEe9g/Q0ZUEFjV2XQTbX4kkPS6BtjdLaM7JodblIrGlhYdJSYgKBc6BICx18XRY4glmgASnCKJIWls7tdZI5htO0xMajBCuJL+mju6QENJeeIGw8HAOHzlCsNPJ7OZmVBY3vc4UOoklWVNJV0Qoc2pqqIuKQugVCdG3kdJ5jw8+GEpV5w8MYMzMJO+736Xrf18hOrgfhwhJ2pl03L5N6+Ag2cEPcaidVMTEgygSeVfEEWmnL1GLVjNAgfISF4TVzI44T6RtgIckj3qeBlujiKKVCiGP31wyg08//VQ2aZfgqTE6e/YsBoOBzMxMeX+SVFCWVgWPRHp6OqtXr+bQoUMTRsneHl9fX09jY6Oc/kjXlnyUpWuPNx8jrTh+UvCjRhMlCIKnbP8/RVH8T4+vEwFPxW0DsMjbiQRBSAVMwOcTXXTKiEZScKemprJw4cIx9yN5QiKmkcW6goICZs6cOWyM3tchPBjauW00GvnJT34i+8lmZ2ezYsUKjh075vOn5iiMaG8rRBFFrxaXO47tiTe4aKjn7mkrg83N9Obnk7BsGb9uMtHX10fFnTtYLl+mozGCSruaMHpIM93EHBbMzIYGBLebjPAHONwKaqOiEESRupgYlr78Mv39/bz77rsoXS5ym5qo0SZyx7IYNW5SqKVZTCLaVYzW4aBHr0cjiJiVIaidLnR2O1aNhl6zmZYHDzhb20hT/XxijW5mZEfTVtJAhrIbVWoqsVVVNKvCAdD2i1xzrMDUUYEisZUIVx/B2j4GbcH0G3Rk9LQjuN2yDALAbgvCOahDo7LQp8/k2tsf0hA+sV2r2Wzm1q1b3Lp1Sx7Yy87OZv369fT09MgF5f7+fjkSOXjwoN/+N94Kyp4+yr/2a79GWVkZmZmZrF27dlwfZbfbTdij+tpXDwGX70TTIYri5PbAjMYLwFFRFCecUJwyogkODiY8PJy4uDgOHDjgk+XjyCE8hULB5s2bUalU7N+/f9gnii8DgQqFgm3btuF2uzGbzbL2avHixaSnp7N//36/NjmOB7XTycyGBhJzc6DjDjfcAj0aFZldAzxITsY8OEjxo9mWXJuN1O5urDEzuNqcjF2pYE72Q9o1KvJra7FotfTr9cT19HAnLQ0EAZVGS0LGJv71L1pYFHoaMkNwKZVcCplPT3MKq0NOYusP5YY4D4dTh1NUcC0zEwSB+KB6VCGhdGoMRJrNDDRFYSMcIWGAuN5uYmJuY9YW0N1TSZKmiC5XLGnr1mHQasnMyaHcaqX0g2YihE7a3PGkWhsJHxigO1iPus+OQ62iKiYGhSjikt68goDYFkJqSAudQjoRYWUILV0IoTHDyGgiuFwuqqqq5M0Wkrvfrl27CA0NRaVSceLEiUmZbI2EZ/t8yZIlNDc3U11dLUdSRqORzMxMtm7dSnBw8Cgf5XBvnkF+YKIi7FgQCWjXqRGGhaZJj77nDS8Av+3LSaeMaBYtWkRQUBBnz5712VfWkzykHU3l5eVcvTp6CnuiiEan07F3715KS0u5c+cOy5Yt48UXX0Sn09HT08O7774bMJIJstvJb2ggadUq+qqrqR7op/mRRECSCnii3i1y1zaDgTvRRKkaSc1xM3fbMhSffkr/woWUBAczUFrKg5AQXAoFQfYwzHU5fHCll2AG6IsaelFF9fWh7+pHjKomeqCbljAFRks3fW4RdbcaR/QjuYTKSrBSSYfBQEJ7F5fthYTQR777IilWK9n/16/y038pRWfvxBkWRnptLR+dOkV+bS39LhcJs+fQbQsiSO/EoHWi7TZidDRSHxnJnuAjXFdk0GI04nZB182ZzNd9QV1eKGs0D4nYupc3DnahSaxGobMR0d9P52OkGJ2dnXR2dtLX18eCBQu4desW+fn5bNq0aVhB+XH8bpYsWUJcXJw8DS5FO93d3RQVFXH9+nVUKhUmk4kZM2ZgsVjo7Ozk5s2bbN68mTgvf/OJ4EsRdjwEcJvxdSBLEAQTQwTzAvCSl/vNBYzAZV9OOmVE09LSgtVq9csISFrRIhVtP//88zFFe+OJKiUPmzNnzlBbW4soily5coWEhAQqKiqw2Wzs2bMHQN44MNn0yWC1kt/cTOrevTxob8fZ1PSlh4w3iCK6fhe9vRqWh5/GrYZGt5Gm/7hCbVwcOoOB3OxsUjZtoq20FPO5c9i6Ovm4o5tg1KRl3MIcFkxBWQXl5lmIKe1kdXfQq9NhNSgJsg2CsoNwcx/t0UNdLJcgoBBFeoKDGVBGYFD0YUOLVhFBQpqa969cQXRoUChc9AQHoxBFjGYzSpeLtq4u2t7/AlHMxGoPIj3PQXyjhfSkJGLWrsX9+uvwaBhS7DRgI4hmeyozIgTinU7evV+M0mXEqVTSFhZGTF/fYxENDO3QkjaJ2u12eQ5LKigvXrwYh8MhF5T9Wa27ePFi4uPjeffdd0elVkN/vi+HBSWDdpfLxcDAAE6nk5dffpl33313Mq1uf4uwwxCoYrAoik5BEP4b8ClDkdXPRVF8IAjC/wCKRFE88ejQF4BDoo92iFNGNG632+fdThKcTifp6elkZWXxzjvvjPsCGUtUmZGRwZo1azh+/Lhc9JUsI86ePSt3Ey5fvoxerycrK4sNGzZgMBioqqqitLR0wlqShAizmVmdnZh+8zc5XVExVORMTh5z84AgimQ8sncIjTGjtjq4m5BKqNX6pUThUZoQ1dfH3P5+yFzGB51GXCpYvaiFBk0MWSUl2PoNlJHDtpYySkwJ5DU2UhafQK8zjHpHGtHWPjQ2M3atFrdCgeLRG6WnOx6taoBwg4OQTgc39A463G7mhjTQFhRKpxDKw7h42kryUSgqEBOs5AzUoEyxUlG5kLa+CiKcdVyyhBNcX0+eVstvfPe7dHR2cuQfHqJXmGlUZLCt6yY3bDZsmElT9tCnUNBhMJDaPrqW4w/mzJnDzJkzZTtVT0g2DpLfjVRbCQ8Pp66ubsKi7uLFi0lMTBxFMiMxkoDcbjednZ381m/9FrNmzZrU74UfRdjRNxS49jbAowHBj0Z8789HfP2X/pxzSms0nZ2dfu1qSkhIICgoyKt5+Uh4kxUsXLiQ7OxsDh48iM1mw+l0ysOB3rY6DgwMyAvJ1Go16enpFBQUsH37dhoaGigtLaW6utr7C1MUyRNF0n/rt3jv8uUvJ5PHIBmVy8WMhqHWdJPRSHJnJ7fT0nArFPR4GV2PnDuPqvYkblxsY4b6Co7oYNQZuawu70SZnMzJPiO6ASvn3asI0VRTFR5HXdk8cKiIoIsZ6rs8cCZj12oRBQGlKKI32+kR1IQb1MyYE0X71RLMrqE3qyCKsnbLbQmhh3AEdzop9lso3W569cG4USIoRJrDw0nu7ORuRQVxfX188OqrxAph9NkzEUJ0pEfaaK3uxDI/HXV3NzOVJVxU5IIgyHWjyaCgoICsrCyOHDkyoZapv79f/tsqlUpSUlLIyspi3bp1XhXgixYtkknGn71VTqeTqqoq/uAP/uBxSOaxEOAazZRgSonGbrf7pP+QNE+CIHD16lWf82vJOlGhULBlyxYEQeDo0aO43W6cTifz589n1qxZwywjxoI0AFhaWiqvMsnOzmbNmjV0d3fLBtxSXaegsJD0GTM4fPTohIVInc3GrPp6OkJDqY6KIqulhQfJyTjGSP0KCwsxWaycvHKFpWFVKJRuyqLi4MQJ7gUH41BrqHTPRW9wkqhoI8UaSpilkXp7F11EsSrkJHURkUT19dFekkN7hAujoZtkcwdzl7dzqzKdivK7xEb1EdvnoE+vH0Y0/e3RhCm66Rf0xLX10xxhBEEgU13KoMJJly6E1PZ2olt7EB2PFNOVjeRlx3G3IpgQ3XX0Fisr1qwhPCSEln/8R0zp6WO2p33BwoULSUtL4+233/bbhsHlclFdXS3P7kRGRpKZmcmOHTvQarXYbDYEQeDgwYN+3Z903u985zuT8p8ZAX+KsKPv5WknmokimrCwMPbs2SObLfmTasFQ0XfPnj1UVFTIKmuHw8HGjRsJDg4e1a3yBZ6rTGBoZW52djYvvPCC/Elqt9s5cODAhOc29veT09REdUyMbDJenuDF2PcR1q5ejeH+faqvX8cYFYxuwMadlDTcgkBdVBQdBgOZlZ2gNIPVSo5wHltTKCd4BodKxXb9OdQLZtHe14fQ1EQNJtSuPvTKPmaqVAQtW0r7lYeEGp20RIRTWFlJdUyMnOGrrW6a7fFoFQOEBbchWrS0mobatjPU97mlTANB4EZyJpV3lyFyiRDrALPDbATtyaXor5vox0q708GNN9/EptOx0OGQ29OeeqeJyF/CkiVLSExMlD9EHhdSQfnq1assWbKE3NxcOjs7+e53v0tLS4tcexnvA0/qhr388sv88z//82PfEz4WYcdCAIvBU4Ipn6MZj2iSk5PZsmWLPGMze/ZsnwSZEpRKJb/yK7/C2bNnZeW2QqHg+eefp6GhgZMnTz7urwFAe3s77e3tXL16lX379snX+bVf+zW5rjOWZktvs/EwKYm+CX4vhULB9o0bcXzyCZV1dbRERJDR1sbttDRcj+oZHaGhaB0OotxdJKbcZaDcxMdhq1jTcYPFuo8YUIXgMljRKRRseu45hOZmTv2DE7U2mPn5+QgdHRz/+GMSNG7caidmlZp2g4Hwvj45oonsGUAML6fdnESQsZMg0YzGGYJDpRoW9dBqIJJOKoUMnlM+QF1YyDvHP0Ap5uNWKOgIDSWqr48mlYo+m42bn34KIBto7ds35J8sFWzH0hytWLGCqKgojh079thrWEZiwYIFJCUl8ctf/lImMEkTtWjRoiHzr0f352mg7na7qa6uZt++ffzbv/1bQO5lrCKsT499Wh32YOL923PnzmXu3LkcPHhQzpP9McsymUwYjUZee+01uru7cblccnR0+fJliouLA/a7wJcaKUlcCUO6q4yMDBYtWkRMTAx1dXWUlZXJJk0ADT74x2o0GnavX0/XgQNUDQ5SmZxMlNnMg6QkbCOejyizmc6QEFxqFZHuTrLMnbgMdhKtPXyRY0TbZaalrIwL7e0kDlhQspGCaBfx0Qk0RkVh6u0lqOECbWoDZtS0hYZyq3QTq0I/BiDN3ExvmhZ3SQpKtZuOCAPx3d1UxMfLRCO6RcxdMSiVdggKpc8RzJXKSgRBwVrdp9QojLQbDBR0dNAWFobTo/ArkfYXX3yBTqcbpjmSnj+pYLt69WpCQ0M5fvz4lJBMWloax44dGxYlNTc309zczPnz52UD9dWrVxMREcGdO3e4d+8e9+/fZ/v27bz22msBvSdvRVjfHhjYYvBU4CuPaARBYMOGDej1et56661hRT1fUi0YqmHk5eXR1dUlG4cnJSWxZcuWx1KEj4XIyEh2797N6dOn5Txfut/i4mKKi4tRKBSkpKTIKUJHRwelpaVyO30shISEsHvZMppee41irZam2FhZ/+T1XsxmGiIjiTSbmeUq5X5sCnF9g3SFhGBXqXArFCgfvXGEQRcqwUVw6x1+cauDlEcTthHd3djS0qh0uWi/eo1BgujQhRPm6GJAq8Wq0eBGgaBw0xIWRkFVFdWxsQgMmX0Fdwp0CFo0BgNZse2UN9hw5ygRgAihh0pFJE6lkkajEY3DgWsMLyCr1SrvVJKeP6lgq1ar6e/vn5JIprCwUF4DNF4q5rnPW6FQYDQa6e3tRRRFzGYzRUVFFBYGasj28fDUpk7eajRBQUHs2bOHmpoar2mNL9sqN23ahEaj4e2332b27Nm89NJLKBQK+XuBkv1LSElJYdOmTV67Vp5wu93U1NTIKVxsbCzZ2dm89NJL2Gw2eV5H8riBIQLbs2cPZ44do9NgkB34xoLgdiOIImEDA0SZzdh0AiZzM1UxMbQ9qv9IMzPBwcEsio2no7GMXquNoMFB+f5m1tdj7esjfvFiMuYUcuahm+iYFOK6m6kxGgFYEfw5tWojVrWGmpgYtDUqXDYXblEk09xAwa7FHP9IxGq/R56igX5bClatFqXbjetRelUXHQ0gW1+MB8/nT6qvtbS0sGfPHpRKJZWVlZSVlfnswDgWCgsLSU9P97ve43K5KCoqYvny5dy+fZvKykq/0vyphMh0MVgmGmmI7ty5c2NurByPaCSSqq6u5saNGwiCwPXr19Hr9SQkJPDw4UM2b96MKIqUlZVRWlrq026i8TB79mwKCgpGrSrxBa2trbS2tnLhwgVCQ0PJzs5m+/btaLVaKisr6enpYdGiRUME1tUFPuwdVwAOpRLD4CC309KYU1NDi9EokwxAS3g4oaGhvPjiixT/0z+BO5mSiBTsnn9pUaS7t5eqS5eIazajZw0J9kqSNm1izrx5VNfVYW96k7pHGU9TuJEHVevIUtUQbbORmZZAbagNq02BqBJoDw0luq+P+qgo8KzjSPCjnb1lyxacTqfsd3zlyhWCgoKGra2tr6+nvLycmpoavyw7CwoKyMjI8JtkRFGktraWhQsXcvz4cQRBIDMz0+fHfxV4qiMaiTiysrJYtWqV10VwnhiLaKSBuwsXLsipi9vtZu/evXR3d3PgwAEALl26hF6vJzs7m82bNxMcHExFRQWlpaV+fxKuWLGC+Ph49u/fP2mPEgl9fX0UFRVRVFSEVqtlxYoVbNiwgYGBAebNm0dZWZlXq0tPqFwu8mtrMet0FMfFIQoCTqVymIcNQGhiIrt27eLDDz8kvrOTGUFd3AtLxqn88k/t+bZX2kVUuHA31XDsthLV/fuYTCZyQkJ48Vd+hQ67nfv3Kyi96aQ8IYst4SI1ISHcvHWLECEbUQntBgPZLS00RUQMFa4nMScjCALbtm3DYrHw+efDxcCDg4PyahNp9CArK4vVq1djNpspKyujvLx83A+D+fPnk5mZydGjR/3qQoqiSH19Pfn5+Xz44YdPbBvlRHhqiUbyDQ4JCWHBggXs379/wnkTb0STlpbGhg0bOHHiBB0dHbIJ9L59+7h58+YoG9CBgQFZ+avRaMjMzGTZsmVERUVRXV1NaWmp7EXjDZIQ02azTWiCNRnMmjWL2NhY/vVf/xWHw0FaWppsddnW1kZpaSmVlZWjzJ+cCgU10dF0hYTIb2SnUonK402TmJjI1q1bhzZStreT5nDgVCpQCm48qdKlUOB+VKCNoJt4mlCKbtROJw6gvLwcY2srnx04QERKCnHRWQRhZcHiFVhTXJQ/8iReq/+EMmUC/VodSpcLvdUqd8j8gWRQ3t3dzfnz58c9duTogdFoJCsri507d6LRaOQ1u551uvnz55OVlTUpkmloaCAnJ4dTp06hmOQ081RDFMH9tKZOOp2OXbt2oVQqve4W8oaRkgVp4O7AgQPYbDZcLtewNbUTLaq32+08fPiQhw8folQqSUtLky04m5qa5MlfKfzWarXs27eP8vLyUSteA4E1a9ZgNBo5dOiQ/IL3VCbHxcWRk5PDkiVLsFqtlJaWUlZWNvRJLQh0jdDPeBKN1B05fPgwfY/a1T3BwQTbbAgjyLI4KUn+t9bhQKl08oUpF4XqyzehwFDu39zcTGeDgzgM9LWWMGDMZPujVSdN//RPdMXFMdDTw4PkZJwKBe1+6pgUCgW7du2itbWVS5cu+fVYgO7ubq5du8a1a9fQarWkp6fLrn2NjY24XC7Cw8P9HvSTPHJMJhNnzpz52pKMhKc2olGr1UOanagon/NhyY9G6kwFBwdz+PBhRFHE6XQO21jg76pUySdWEmkmJSWRk5PD6tWr6e4e8vPNz8/n/PnzlJWV+f37jgeFQsH27duxWq2yR7E3tLS00NLSwrlz5wgPDyc7O5tdu3ahUqnkFNAz9RxUqxEYipIKCgo4cOCAHDWKCgUPk5MpqKoaW24nimidTpZqLnBBnYdnUiW1siMiIlg6YymXb39MfV0HHf09FBUVodFoWG6xMKeggE0ZGTQ0NMitfXysmygUCvbu3Ut9fT1Xrlzx6THjwWazyV1AQRBYs2YNeXl5DA4O8uyzz1JeXk55efmwgrw3SOtvExISuHDhgl/C4CeFp5ZowsPDuXv3LgsWLPD5MZKJ+PPPP099fT1nz55FEATsdru8seCtt956LAsACQ0NDTQ0NHD69GlmzJjBxo0bsVgsFBYWYjAYKCsrG3MToj/QaDTs3buXqqoqr3YXY6Gnp0f+pA4KCpLrXEajUd7CUCsIFBYWkpmZyYEDB7zWkkQYFdFIULtcuBQKFF5+3hYWRmRsLDv27uXjQ4dIoY4Gj20JdrudQbOZcydP4lapZMnG6tWr6e3tldegjOV4p1Qq2bdvH1VVVVy/ft3n58VXzJkzh5iYGP7jP/5DjmqysrLYvn07QUFBVFVVUVZWNsocXRRFmpubiY6O5sqVK35Pqj8JiIDL/RSnTpKc3tfNgUajkYiICC5cuCBHHi6Xix07dmC328fdxT1ZSKnKL37xC3p7ewkNDSUnJ4edO3eiUqkoLy+npKTEL6sBCXq9nmeffZbr169PuOJ3PAwODsrzJp5bGPbt24fdbue0x7K4kRAFYUyiEQWB6pgYspqb5VRJvua8eTyzbRvHjh2js68Po1Ix/AhRROF241YoRtVNIiMjyc7OZu/evQiCIEcSUjQm7e4uKSkZcznf42DOnDnk5eVx5MgROV3q6enh+vXrXL9+HY1GM0xA29zczIMHD6ipqaGpqYnw8HD5uG8ExKc4ohEEYdjQ3kREI82r9Pb2ygvBpJpJcXExRUVF4z5+Mli4cCGZmZnDoqS+vj75BanT6eR9TmFhYVRVVVFSUuLTihBpyO+zzz7z2494PEgpYHZ2trzJIScnh6VLl9Lf3y+LP6VIoj00FMcYA3NOpZLW8HAyW1qGyQtSU1PZsGGDvJUSIFrRSpvwpeZPnhL20oXp7Ozk8uXLXL58WX4OpWisvr6exMREbty44ZcZvK+YM2cOM2bMGLcmY7fbKSkpoaSkBBhyDZDmdnp6evjBD35Ad3f3pAysnhSe2slgGD4dPJ6Abu7cubKR0ZYtW9i3bx8NDQ3MmDGDU6dOycXSQEEQBDZu3IhGoxm3UG21Wrl79y53795FpVKRkZFBYWEhcXFx1NfXU1JS4lWRLHV/3nvvvYAPECqVSnbt2kVbWxsXLlwAhnxYzpw5Q0RExKhIorS0FJsP0ZhEF5mZmaxcuZKDBw+OSnuGUYogDG1xmACez6FOp+Pll1/GYrGwcOFCTCaTnGIFIh3Oz8+XScaf+Zqmpiba29tRqVQUFRVx5swZ6urqvjFEM2QT8aTvYnxMKdFMpHcSBIF169YRGhrK4cOHcblcvP322+Tn57NmzRr6+/tZunQpkZGRlJaWTljE8wVqtVpew/rpI6GfL3A6ncNsJFJSUsjNzWXDhg1yW7qiogKTycTy5cvl7k8godFo2LdvH6WlpV63O3Z1dXHlyhWuXLkib9eUnl+ptd/Y2Dgq/RQFAUSRGTNmsGDBAg4cODDK5tShUtHjsepY9NIFGw9arZbnnnuOixcvyjq0uLg4srKyeOmll7Db7fLa4ckMWubn5zNr1iyfvGpGQhJM3r59m9DQUHJzc/2+/pPGU0004ym4NRoNu3fvprm5mQ8++EA2Dpd0TD/72c+wWCyEhISQk5PD9u3b0Wg0lJWVUVJSMinrzZCQEPbt20dRURH379+f9O8lTYpKKVFcXBy5ubmsX78ejUbDuXPnArJk3hPBwcE899xzXLt2jYcPJ3Z39NyuqVKpSE9PZ+7cuWzdunVUa78kIYHZ8+Yxc/Zs2R5zJNyCgFWrndS9BwUF8cILL/DFF18M6+hJXbYLFy5gMBjIyspi8+bN6PV6uVjri9vh45BMZ2cnTqeTe/fuPdF1KY8FEVyP754xpRAmKK4+Fk9+73vfw2g0UlNTMyz9CQsLY+/evVy5ckW21nQ4HLKO6cMPP/SaXwcFBZGdnU1ubi4Gg4GKigpKSkp8mvqVfIg//fRTuWgZSKxevZrIyEjOnTtHVlYWWVlZAZNDhIWF8eyzz44SdU4GgiCQmJhITk4OJpOJ3t5eHA4HOp1u7JRDFFlRUsKF3Fy/p36Dg4N5/vnnuXDhgs9L2SS3w+zsbOLj42lqaqKsrIyqqqpR9zd79mxmz549KZLp6uqShZ1RUVF+PTbAeKyWUWp2ofj//KtvNcz/ukm4EcB1Kz5jSonmd3/3dxEEgY6ODrnw5qmybm9vRxRFecFcbW0tX3zxhU/nVqvVZGZmyju4q6urKSkpGbWcDIYsJdatW8e77747qe7ReJAmiQcHB/nss8+G/UySQ+Tm5qLT6SYlh4iOjmbXrl1TokoH2LRpE6mpqdjtdlwul1zXGTanJIosLynhYl6eX+fW6/W88MILwzZT+guJGLOzszGZTPT398uSA5PJRH5+PocPH/abZLq7u2V1diBrMb/5m7/JBx98QExMjBw1/9Ef/RHvv/++bCvyi1/8YuRqlscmmh/+f74Rzf+1+VtIND/84Q/p6enBZrNx9+5d8vPzmT9/PseOHcNqteJ0OjEajezZs4eLFy9SWlo6qetILd/c3FwSEhKGFWrz8/PJz8/n6NGjPju6+Qq1Ws3evXupqamZcOBMo9GQlZVFTk4OkZGR1NTUTCiHkEh5IqP2yWL9+vVotVo++ugjRFGUiTE7O5uQkBDZ1KupsXFIlT1G98obDAYDzz33HKdOnQpo181oNJKdnc3cuXMJDQ3l2rVrFBcX+1V07+7upq+vj9u3b5PoQ0HbH0g+Nr/6q78qE83JkydZu3YtKpWKP/mTPwHg7/7u7zwf9thE86f/4hvR/NaWJ0M0U16jaWtrQ6PRsHbtWiIiIuTxe6fTSXJyMps3b+b999+npaVl0tdxuVzyBkHPQu3u3btxOBycOnVq0ovjx4K/MzJ2u10WBkpyiNmzZ7NlyxYaGxspLS2lqqpKThkzMzNZtWoVhw4dCsjgoCcEQWDr1q3Y7XY+/PBD+fueOjG1Wv1ll83DrL2mpmbCUf7Q0FCee+45PvnkE68R5uOgu7ubgYEBBgYG2L9/P2lpabJxVm1trWycNVYnsbe3l56eHm7evBlwkgFYuXKlbBUiYePGjfK/Fy9ezNGjRwN6TfFpNr6CoTej2+2msLCQkpISTpw4IRd9pehmMhYM40ESws2fP587d+5QXFxMbm4uy5Yto7u7m5KSksdup0ZERLBnzx5OnTo16kXlCzzlEJ41k9WrV9PV1YXFYiEmJmaYpCBQUCgU7Ny5k87OznEFjA6HQ541kRTTOTk5rF27lq6uLjl9GdmdCg8P59lnn+XDDz/0ad7IX8ycOZO5c+fK61bu37/P/fv3RxmPdXZ2yoOC0j329vbS2dlJUVERqampAb83X/Dzn/+c559/PuDnDfQga6AxpanTT3/6U1QqFR0dHbz33nvA0Cf72rVrMRqNvPfeewHvzuh0Ovbt28eDBw+4efPmsJ9FR0eTm5tLVlYWFouFkpISysrK/EqppnJGBmDt2rXk5ORgs9kYHByUhZWBiGpUKpWc6vkjhxiJ6OhocnJyyMzMlNv+ZWVlKJVK9u7d+9gR6liYMWMG8+fP97rTaSRiYmLIysoiMzOTc+fOUVVVRXl5OUVFReTk5AT83jxRU1PD9u3bR3U2/+Zv/oaioiLeeeedkXYTj5U6pWQVin/wT77JOH5vh+LblzoZDAbOnj1LVlYWWq1WFre1t7dz7NixgF/PaDSyd+9ezpw543XDpeRXe+HCBcLDw8nNzWXfvn2IokhJScmEszpZWVmsXLlySmZkYEjdHRoayk9/+lPcbvcwOYRSqZQLtZOp12g0Gp599lkePHjw2BO50vN48eJFDAaDLP6Mi4vj3r17j3XusTBjxgwKCgo4dOiQT/5AbW1ttLW1cenSJex2O2azmcLCQl566SXef/99EsbZRDEVeP311/nggw84ffp0wD1txKdZggBw7do17ty5I7/IpcG7qZATSIXTEydO+NTV6enpkYfbfJnVmTdvnrwjKlA7uyVINROHwyE7y4F3OYQ0gFdZWTlUqPUhPQkKCuL555/n+vXrPs3g+AOz2Ux9fT3z58/njTfewGg0snjxYtmsvbS09LH2OQHk5eVRUFDgUyTj7f4ks/G5c+disVgICgqa9L1MBp988gl///d/z7lz56bM/vPrXqOZ0tRp/fr1fPHFF8TExKBWqykoKMBoNJKbm4sgCHIN4HGjgxkzZrBo0SKOHj362CmGt1kdvV6PTqfj+PHjfu+ImghKpZLdu3fT0tLCxYsXfXqMNGeSk5NDXFzcuG9ovV7P888/z/nz532eY/EHkj/QsWPHhhGzVDPJyckhNTWV9vb2SckN8vLyKCws5PDhw34X9CWSOXXqFAsXLvTrsZPFiy++yNmzZ+no6CA2Npa/+qu/4m//9m+x2WxEPtqIsXjxYv7jP/7D82GPFeIkZxaKv/e/fUud/nD3k0mdppRoYKj49ed//udERERQUVFBWFgYBoNBnqbNzc1FrVbLUYS/PjNLly4lJSWFd955J+CdJa1Wy7PPPovBYMDpdI47qzMZSJFecXHxqHqSrxj5hm5ra6OkpITKykp0Oh3PPfdcwIWdEhISEti2bZtP/kBxcXFkZ2eTmZnpc+0pNzeXhQsXcujQIb//tv39/TQ2NvLJJ5+wbNkyvx77BPDYRPO7f++bUdsf7VV+O4nm2LFjbNiwgdDQUHp6evjpT3/KW2+9RWVlJaGhoRgMBmJiYsjNzSUvLw+dTkd5eTnFxcXj1iKkNbiiKPLxxx8HvOouzcjU1tZy+fLlcWd1JpMWSO3xq1evBnQHVXx8PDk5OWRnZxMWFsa1a9e4fv16wGeIpFTVU+HtK8LCwuR5HY1GIw8yehbXH4dkBgYGqK+v5/3332fNmjV+PXY8eBvG6+rq4vnnn6empoa0tDSOHDmC8dEmCT/wWESTlFEo/t8+Es2f7PuWEs1Y6O/v59VXX+WXv/wlZWVlhISEYDAY5M5Qbm4uoaGhVFRUjBrI0mg08iTx5cuXA35vkq5oLE2UNKuTk5NDWloaLS0tstevL1208PBw9u3bN+n2+ESIjY1l586dfP755/I6X7fbLYtC/SWGkUhJSWHjxo0cPnw4IKlqZmYm2dnZREZGUltbi8ViIT09fVIkY7FYqKur45133hk2vxIIeBvG++M//mMiIiL40z/9U370ox/R3d09chjPFzw20fz23/rWRfx/nlc9XUTjCavVyuuvv87Pf/5zHj58iF6vx2AwEBUVRU5ODnl5eRiNRqqqqqirq2PlypVTso0Svuxc+UMC8fHx5OXlkZ6eTk9PDyUlJZSXl3utRUiaq6lqAUvt95E1k5CQELKzs8nJyZHlECUlJX636E0mE2vXruXw4cMBnX+CoXrVsmXLmD9/PlarlZaWFsrKyryatXuD1WqltraWQ4cOsX379oDem4SRreucnBzOnj1LfHw8zc3NrF69ejIT7o9FNIkZheJv/y/fiOb/feEpJhpP2Gw29u/fz2uvvcadO3fQ6XQYDAYiIyOZPXs269atkxeyFRcX+6Tu9RVSzcHXzpU3jDerI01CjySBQCEtLY3169dz5MiRcQvsWq2WzMxMWQ4hWUg0NDSMm4JmZGTI08qBTsUAsrOzWbJkCYcOHcJms8lpYEZGBgMDA7KplzeCG3y0IO+NN95gz549Ab83CSOJJjw8XBbMiqKI0WicjID28YgmvVD8LR+J5r+/OE00o+BwOHj77bf56U9/yrVr1wgLC5M7WFlZWeTl5REfH09tbS3FxcXj6oYmgjQjc/To0cdOLSRIszrZ2dkEBQWh1Wo5evTolIgjs7KyWL58OUeOHBnTp9cbpNpTTk4OiYmJsoWEpxwChkhg2bJlHDp0KODTytL5PUlmJMLDw8nJySErKwulUilHZB0dHdhsNmpqanj11Vd54YUXAn5vnhiPaGAoIva3ocFjE02B+F//xjei+fOX1N++gb3HhVqt5qWXXiI0NJR//Md/5Fd/9VfZv38/165do7q6mqtXr2I0GsnIyJDXqDQ0NFBcXOxXkXbu3LnMnj074DMy0qyOxWKhoKCAu3fvsmbNGjQazWN5EY/EzJkz5Y2a/t7/SJ3YSDmEZPQlyUUCPUMEQyS5dOlSDh48OGbru6enh6tXr3L16lV5pmj+/Pm89dZbWCwWfvd3f5dnn3024Pc2EWJjY2lubpZTp5iYmK/8HgDEp9mPJlDo7+9HrVajfWS85Ha7+eijj/jJT37CF198gSAIhIWFER4eTnp6Onl5eaSmptLc3ExxcTHV1dVjzr+sXLmSmJgYjh8/HnA5BMCiRYtIS0vj2LFj8vlHzupUVlZSUlIyqZrNvHnzmDFjBkeOHHnsjZojER0dzcqVK0lPT5efy9LS0oDWZrKysuRIyV8Ss9vt1NXV8corrzA4OEhkZCQ/+tGPAnZv3jAyovmjP/ojIiMj5WJwV1cXf//3f+/vaR8rokkwFYjf+yvf1tX8j1/TTBjRCIKwGfgxoAReFUVx1JMqCMJzwF8yxBF3RFF8adxzfhOIZjy43W4+//xz/vVf/5Vz584hiiLh4eGEhYWRlpZGXl4eJpOJ9vZ2iouL5c6QtILV4XBw8uTJKRGlrV27FoPBwPvvvz9mdOWPr85ILF68mJSUFI4dOxbwQUJAttg4/P+3d6ZRUd1pGv9dQUQRZJcdQQQKxRUbTSJiCG7tmKgcsuhEI8TprGacnnSMZ6KJnZhMtwsSOXaOiUsW10zEVmQ0pG2JthIaRBAabXaRVBQRguJC8Z8PUHfQABZUFVXA/Z1TH+49d3nrHOrhv7zv8+7dy6BBg+TFZH3LIbQEBATw2GOPdVlkiouL+eijj3jllVe6HENnaCsZ76mnniI2Npby8nJ8fX3Zt28fjo6OnX203kITv0a33de1SwZ0KDSSJFkAF4Fo4DLwA/CsECK/1TUjgH3A40KIGkmSXIUQHe4q9HihaY0QgvT0dBITE/nuu+9obGzEvqXpva+vLyEhIfLO0JAhQygsLNQ5G7czaEXszp07vzDD6oi2cnW01gwPCtXUqVNxdHQkOTlZr/T+9hg7dqw8UnpwpKedumhTELQjss6sPekjMvfu3aOoqIj33nuPFStWdOpeM0UvoXH3myDiVusmNO+/8FChmQysEULMaDleCSCEWNfqmv8GLgohtukaY68SmtYIIcjIyGDz5s0cP36choYGHBwccHZ2ZsyYMfKPpK6uTt4ZMoQTv4WFBfPnz+fKlStdavGq5cFcHbVaLWf8ak2UjJGoCBAWFsbw4cN16lWtLYcIDg5m6NChOtU3DR8+XO600BWRKS4u5u2332blypWduteM0U9ohk0QS9/RzZnygzjrMuBaq1OfCCE+kQORpBhgphAivuX4X4FwIcSrra45SPOo51Gap1drhBCpHb3XrBeD9UGSJMLDw/nyyy+BZof7tWvXcvToURoaGkhLS8PW1hYvLy9UKhXPPfccDQ0NFBQUcPHixS7trGhLFvLy8vSukH7QAF2bq6NtrXvy5EmsrKwMIo6tCQ8Px9fXVyeRgeYfvjYRsHU5RHR0NGq1Wk5k1K4f6SMyjY2NFBcXs2LFCqOLzMaNG9m2bRuSJBEaGsr27du7vRizM3Ti/801A+w6WQIjgEjACzgpSVKoEOJGRzf0CcaMGQPA6dOnsbKyIiEhgcOHD1NWVkZ+fj62trZ4eHigUqmIjY2VjZ8KCwt12i62sbEhNjaWv/3tb7I/siFRq9U88sgjnD17lsLCQoKDg1m4cGGXfXXa4pFHHsHd3Z0DBw50aTrW1NREaWmpnOiozYN59NFHqa+vp7q6Gl9f3zbbuTwMrci8+uqrvPvuu52OrTNUVlayefNm8vPz5XqxPXv2sGTJEqO+Vx+aDFe+XQl4tzr2ajnXmsvAWSHEPaBEkqSLNAtPu5WdvXbq1BZCiF94gRQVFbFp0yaSk5Oprq7GwcFBLvpUqVSySZK20rytlHttSYGxihe1hlUlJSVkZNxf06LNLwkKCkIIQWFhYZcq4qdMmYKTkxPJyclGmY6NGTOGiIgI6uvr7+uRpUvOkkajobi4mLi4ODZs2GDw2B6ksrKSSZMmkZOTg52dHU899RSvv/66wUsaWqHX1MnNd7x4fqVu0/Q/vDToYWs0ljRPi6JoFpgfgOeEEBdaXTOT5gXixZIkOQPZwFghRLs7A31KaB5GeXk5mzdv5uuvv+ann37C3t4eW1tbhg4dKtdfWVpaUlhYSEFBAbW1tUYvKbCysiI2Npbc3FxycnI6vFZbZhAcHNypXJ1p06YxePBgDh8+bBSR8ff3JzIykt27d9PQ0PCLcgjtDlZb5RBakVm0aBFbtmwxeGztkZCQwKpVqxg4cCDTp0+Xp+BGQm+hWfSWbpsa61+20WV7ezawieb1l8+EEO9LkvQekCmEOCQ1/7deD8wENMD7Qog9HT5TEZq2qaqq4uOPP2bv3r1UVVXJ9haurq5y/ZWdnR3W1tYcOnRI735LbTFw4ECefvrpLlV465qro216l5KSYsjQZfz8/Jg2bZosMg/SXjlERUUFTU1NFBcXs2DBAj799FOjxNcWNTU1LFiwgL1798oeyDExMSxatMhYr9RbaBb+Ll2naze8MrjnliCkpqayfPlyNBoN8fHxvPXWW4aJzky4evUqSUlJ7N69m4qKCuzs7PD29sbf3x8HBwf8/f2xsbGRK82vXr2q9zsHDx5MbGwsf/3rX9u0Je0M7eXqjBw5EqBTrYE7g1ZkdK2N0m7vBwYGyqUUAQEBHD16tFsXYvfv309qaqosbrt27eLMmTMkJSUZ65V6Cc1Qn/HiuTfbN5pvzabXbHum0Gg0GgIDAzl+/DheXl5MnDiR3bt3ExISYrgozYiamhpefPFF0tLSsLCwwNLSUi761I507O3tKSoqoqCgoEvTKW1nymPHjhm8q6a21Ut0dDSDBg2S157aytXRh2HDhvH44493qQBTu6g8YcIEQkNDyc3N5dixYwb32m2Ps2fPsnTpUtlCdcmSJYSFhfHaa68Z65V6C82z/6mb0CS8bhqh0XvXKSMjg4CAAPz9/QF45plnSE5O7rVCM2DAAFxdXamsrESj0bBt2zZ27dpFbm4uJSUlnDp1CicnJ0aMGMHkyZNxdnamuLiYgoICnfx9nZycmD9/vtE6UzY1NRESEkJhYSEnTpzA29tb7hveOldHn3IMfURGu60fERHBN998023i0prw8HBiYmIYP348lpaWjBs3jmXLlnV7HJ1BmLlpsN4jmgMHDpCamsq2bc1Jgp9//jlnz57l448/NlCIPYOGhga2b9/O9u3b7/PUcXR0JCAgAJVKhZubG6WlpRQUFLRpyeDm5sbcuXP55ptvDDL9ehBJkuSeTunpv5zTd8ZXpz18fX2JiorSS2QmTpxISkqKSUTGROj1RV29x4nYfz+h07Vb/sO+Z45oFJoZOHAgL7/8Mi+//DK3b9+WPXXOnz9PaWkpGRkZ8nrO6NGjmTVrFhUVFXKluaenJ7NmzWL//v1dsRl4KP369WPevHlUVVW129+8qqqKqqoq2ZlPm6vT0NAg5xR1JB6+vr488cQTXRaZiooKxowZw5EjR/qSyBgEcx/R6C00np6eVFRUyMeXL182SqvRnoS1tTVxcXHExcVx9+5d9u3bxyeffEJ2djalpaVkZmZib2+Pn5+fnO1rZWXFsWPHDOaF0xptWUR5ebnOjeMe7IEVFBQk98BqK1fHx8dHFpnO+OHA/3cXDQoK4vjx4/Tr169T93eGGzduEB8fT15eHpIk8dlnnzF58mSjva9b6AEtcfWeOjU2NhIYGEhaWhqenp5MnDiRr776St7R0IWKigqef/551Go1kiSxbNkyli9frvP9PYXGxkYOHjzI1q1bycjIwNLSEl9fXxwcHHB1dcXPzw8/Pz/UarVcaa5vVbaFhQUxMTEUFRUZpJ9WW7k6tbW1hIeHd1lkKisrGTZsGN9//z2WlsYdZC9evJgpU6YQHx/P3bt3uXXrFvb29kZ9pw7oNXxz8RonFrz2nU7X/uktx5656wSQkpLCG2+8gUajYenSpaxatapTQWiH7OPHj+fnn39mwoQJHDx4sNcuKEPzbt2bb77Jzp07sbCw4O7du/dVmmvXSq5duyb3C++s34ylpSWxsbEUFBSQnZ1t8O9gbW3NpEmTCAsLo66uTm6Zo+tOmxCCqqoq3NzcOHv2LP379zd4jK2pra1l7NixFBcXm9vUTE+hGSvmv6qb0Hyy0qnnrtHMnj2b2bNnd/l+d3d33N3dgeY2uiqVisrKyl4tNJIkMWDAAMrKyhg4cCDffvstW7Zs4eTJk5SVlZGTk8OQIUPw9vZGpVLx6KOPygu0Fy9efKhZd//+/eWM4vPnzxvlO7i4uDB8+HC2bt3KnTt3GD58uNylsrWvTlv/zLQi4+zs3C0iA1BSUoKLiwsvvPACOTk5TJgwgYSEBGxsbIz+bqMiQKMxb4s9s8sMLi0tJSIigry8POzs7Lr79SZH66mzefNm/vKXv9znqePp6YlKpWLEiBHcvHlTrjR/sEDRysqKp59+mqysLC5cuNDOm/TDy8uLGTNmtNkNQZurExwcjKenJ5cvX74vV0cIgVqtxs7OjuzsbNk50dhkZmYyadIkTp06RXh4OMuXL8fOzo61a9d2y/s7QK8RjbPnWPHkb3TzPfrsHdeeO6IxFPX19SxYsIBNmzb1SZGB5pFOREQEERERsqdOQkKCXLCZn5+PnZ0dHh4eBAcH88wzz3Dnzh15V6ipqUkuWzBGFTk0i8zMmTPZs2dPm7aeGo2GoqIiioqKkCRJztWJiopix44d3LhxA2tra/7+9793m8ho4/by8iI8PByAmJgYo1t/dguiD+w6GYp79+6xYMECFi5caNR2GT0JrafOV199BTR76iQkJHD06FHKysr4xz/+cV974djYWFxcXLhw4YLB2vY+iFZkdO3rJISgvLyc8vJyhBBoNBrq6+txcnLixRdf5PPPP++29RI3Nze8vb0pLCwkKCiItLS0XjI9FzQZoRjWkJjF1EkIweLFi3F0dGTTpk16P0+j0RAWFoanpyeHDx/WP0AzJD8/n4SEBP785z9TV1eHs7Mz1tbWhIWFMXjwYIKDg+nXr59cad5Z24i20Ob6dLVD5bVr1xBCkJubi62tLRUVFfj4+OgdV2c4d+6cvOPk7+/P9u3bu9LC1tDoN3XyGCN+Ha9bvdqute49d9dJX77//numTJlCaGionEPxwQcfdHmBecOGDWRmZlJXV9drhaY1p0+fZt68edjZ2VFVVSXbWzg7O8s9za2srOSme11JCNRXZKqrq7l37x65ubnm8MM2N/QSGiePMeLXcR06acp8/nuPvrtG89hjjxnMB+Xy5cscOXKEVatWdYtJkjlQVlbGvn37mDp1KqWlpSQmJvL111+TlZVFSUkJ6enpcnvh6dOnY2Njw6VLlygoKODatWsPfb6HhwezZs1i3759XRKZ69evc/v2bfLy8nq8yLzzzjs4OjryxhtvALBq1SpcXV1Nm/clQNOo7Dp1KzExMaxcuZKff/6ZP/7xj31iRNMeV65cITExkf3799/nqePk5ERgYKDsqaPt+thWG2APDw9mz5790Da77VFTU0N9fT05OTm4ubkZ4mu1S3dMmUtLS5k/fz5ZWVk0NTUxYsQIMjIycHJy0uex+o1o3EeLGYt18xPa/ZF33x3RGIrDhw/j6urKhAkTOHHihKnDMTkeHh6sW7eOdevW8dNPP5GUlMSePXvIycmhtLSU06dP4+joKDdxc3R0lCvNtd0X9RWZuro6zp07Z3SRgWZXPJVKZZD1qPYYNmwYTk5OZGdno1arGTdunL4iozdCgDBCyx1D0quE5tSpUxw6dIiUlBRu375NXV0dixYt4osvvjB1aCbH1dWVNWvWsGbNGmpqati6dStffvklubm5lJWVcebMGRwcHAgICOBXv/oVnp6eDBgwgJSUlC79cG/cuMGNGzfIysrqltq37pwyx8fHs2PHDn788UeWLl1q1HfpigHNyY1Cr5s6aTlx4oReU6deWXzXBnV1dbKnzqVLl+RuEC4uLnh6euLj44OHhwfl5eUUFBTI29QdUVtbS3V1NZmZmbJPkbHpzinz3bt3CQ0N5d69e1y6dAkLCwt9H6nX1MnRbbR4YuEhna7dv8FPmTqZE8uXL2fmzJkcOHBALr7rjdjZ2bFixQpWrFjBrVu3ePfdd0lKSkKtVpOdnY2trS0ODg74+fkREhLCjBkzqKyspKCgoE1Xvrq6Oq5evUpGRka3iUx3T5mtrKyYNm0a9vb2hhAZ/RFCSdgzFZGRkURGRnbp3traWk6ePMmOHTuA5j8sKysrwwVnpgwaNIja2lrOnz+Pu7s7X3zxBZ9++qk8vcrKypJ7mmtd+aqqqrhw4QIlJSXU1taiVqs5deoUgYGB3RZ3d0+Zm5qaOHPmDPv37zfK8zuLAKP0XjckvXbqpA/nzp1j2bJlhISE9K7iuy7yoKfOgAEDsLOzw97eHm9vb5ycnDh+/Di1tbWsXr2al156iUGDBpkkVn2nzA8jPz+fOXPmMG/ePNavX2+ox+o1dXJwDRWRsf+j07UHtwSaZOpkPIehHkxjYyNZWVm89NJLZGdnY2Nj0ztqYrqIlZUVixYt4uTJk9TU1JCUlISfnx///Oc/SU9P5+jRo9TU1JCYmEh1dTUbN240dchGIyQkhOLiYkOKjN4ImqdOunxMhTKiaYMff/yRSZMmya1d09PT+fDDDzly5IhpAzMzNBoNR44cYfXq1bz//vt6WYX0cfQa0di7jhJTF3yt07WHtgYrIxpzoXXxHaBX8d3GjRsZOXIko0aN4tlnn+10z2lzxsLCgrlz55Kdna2IjCkRzetGunxMhSI07ZCYmMjChQsZPXo0586d4+233+70M7TN4jMzM8nLy0Oj0bBnT4edQxUeoKKigmnTphESEsLIkSNJSEgwdUhmh0DQpNHo9DEVvXbXSV/Gjh1rEI/dxsZGGhoa6N+/P7du3cLDw8MA0fUdLC0tWb9+/X02r9HR0b3E3sFA9AA/GmVEY0Q8PT357W9/i4+PD+7u7gwZMoTp06ebOqwehbu7O+PHjwfut3lVuB9zXwxWhMaI1NTUkJycTElJCVeuXOHmzZtKOYQelJaWkp2dLTvkKWgRNIkmnT6mQhEaI/Ltt9/i5+eHi4sL/fv3Z/78+e02b1PoGMXmtX2EUEY0fRofHx/OnDnDrVu3EEKQlpaGSqXS6d6lS5fi6urKqFGj5HPXr18nOjqaESNGEB0dbZSOluaIYvP6cERTk04fU6EIjRFp3Sw+NDSUpqYmnZvFL1myhNTU+13TPvzwQ6Kiorh06RJRUVF9IolQCEFcXBwqlYoVK1aYOhzzRJj/rpOSsGfGlJaWMmfOHPLy8gAICgrixIkTuLu7U1VVRWRkpJzr01sxtM2rmaJXwp6to0qEPbFDp2tP7J+kVG8rdIxarZYb7bm5ubXpiNfbMKTNa69FMb5SMBaSJJlbW1cFk2H+NhHKGk0PYujQoVRVVQHN/cpdXV1NHJGCuSBEk04fU9HnheaHH35g9OjR3L59m5s3bzJy5Eh5TcTcmDt3Ljt37gRg586dPPnkkyaOSD9SU1MJCgoiICCgTyxsGwshBE2NGp0+puJhi8F9AkmSfg9YAwOBy0KIdSYOCUmSdgORgDOgBlYDB4F9gA9QBsQKIa7r8KzPgDnAT0KIUS3n/gD8C3AXKAJeEELcMPT36CAmC+AiEA1cBn4AnhVC5HdXDL0FSZJSaf470YVrQoiZxoynLRShASRJsqL5D/028IgQwrztyjqJJEkRQD2wq5XQTAe+E0I0SpL0EYAQ4nfdGNNkYI0QYkbL8cqWGEwu8gqGp89PnVpwAgYDtjSPbHoVQoiTwPUHzh0TQjS2HJ4BvLo5LE+gotXx5ZZzCr0QRWia+RPwX8CXwEcmjsUULAWOmjoIhd5Ln9/eliTpeeCeEOKrlnWD05IkPS6E+M7UsXUHkiStAhppFtnupBLwbnXs1XJOoReirNH0ESRJGgYc1q7RtJxbAvwbECWE6NZ+MpIkWdK8GBxFs8D8ADwnhLjQnXEodA99fkTTV5EkaSbwJjC1u0UGoGUR+lXgfwEL4DNFZHovyoimD9DOVvlKYABQ3XLZGSHEb0wSoEKvRxEaBQUFo6PsOikoKBgdRWgUFBSMjiI0CgoKRkcRGgUFBaOjCI2CgoLRUYRGQUHB6ChCo6CgYHT+D+8gY57qlRbYAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# displaying the shapes with 3D scatter plot\n", "fig1 = scatter_3D(shape1, control=\"size\")\n", "fig2 = scatter_3D(shape2, control=\"size\")\n", "# 3d plot of the signal-to-noise rations\n", "fig3 = scatter_3D(sig2noise, control=\"size\")\n", "# 3d quiver plot of the displacement field\n", "fig4, ax = quiver_3D(-u, v, w, cmap=\"coolwarm\", quiv_args={\"arrow_length_ratio\":0.6})" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "lines_to_next_cell": 2 }, "outputs": [], "source": [ "# saving the plots\n", "if save_plots:\n", " fig1.savefig(os.path.join(out_put_folder, \"displaced_bar_frame1.png\"))\n", " fig2.savefig(os.path.join(out_put_folder, \"displaced_bar_frame2.png\"))\n", " fig3.savefig(os.path.join(out_put_folder, \"displaced_bar_sig2noise.png\"))\n", " fig4.savefig(os.path.join(out_put_folder, \"displaced_bar_deformation_field.png\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "################### test to check the replace_nans_function ######################\n", "takes ~4 seconds" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# ball shape with a gap of nans in the middle\n", "center = (5, 5, 5)\n", "size = (10, 10, 10)\n", "distance = np.linalg.norm(np.subtract(np.indices(size).T, np.asarray(center)), axis=len(center))\n", "arr = np.ones(size) * (distance <= 5)\n", "hide = arr == 0\n", "arr[5:7] = np.nan" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# displaying in 3d plots. Values outside of the original ball are hidden by setting to nan\n", "arr_show = arr.copy()\n", "arr_show[hide] = np.nan\n", "fig9 = scatter_3D(arr_show, size=50, sca_args={\"alpha\": 0.6})\n", "# replacing outliers\n", "arr = replace_nans(arr, max_iter=2, tol=2, kernel_size=2, method='disk')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# displaying in 3d plots. Values outside of the original ball are hidden by setting to nan\n", "arr_show = arr.copy()\n", "arr_show[hide] = np.nan\n", "fig10 = scatter_3D(arr_show, size=50, sca_args={\"alpha\": 0.6})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# saving the plots\n", "if save_plots:\n", " fig9.savefig(os.path.join(out_put_folder, \"replace_nan_gap.png\"))\n", " fig10.savefig(os.path.join(out_put_folder, \"replace_nan_filled.png\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#################### real data example ############################" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "we recorded stacks of collagen fibres with confocal microscopy in reflection mode\n", "\"alive\" stack contains a force generating NK-cell, marked by the red circle in the animation\n", "\"relaxed\" stack is the same field of view with out the cell\n", "download the data at https://github.com/fabrylab/3D_piv_example_data.git\n", "this calculation takes ~ 3-4 minutes on my 4-core Intel i5@2.5 GHz Laptop" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# please enter the path to the dataset provided at\n", "folder = r\"test_3d\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "if not os.path.exists(folder): \n", " import git \n", " repo = git.Repo.clone_from(\"https://github.com/fabrylab/3D_piv_example_data.git\", './test_3d', branch='master')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "if not os.path.exists(folder):\n", " raise FileNotFoundError(\"path to 3d piv data '%s' does not exists\\n\"\n", " \". Please download the data from https://github.com/fabrylab/3D_piv_example_data.git\" % folder)\n", "# stack properties\n", "# factors for voxel size\n", "du = 0.2407\n", "dv = 0.2407\n", "dw = 1.0071\n", "# total image dimension for x y z\n", "image_dim = (123.02, 123.02, 122.86)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# keep these values for our nk cells stacks\n", "win_um = 12 # window size in µm\n", "fac_overlap = 0.3 # overlap in percent of the window size\n", "signoise_filter = 1.3" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# window size for stacks in pixel\n", "window_size = (int(win_um / du), int(win_um / dv), int(win_um / dw))\n", "overlap = (int(fac_overlap * win_um / du), int(fac_overlap * win_um / dv), int(fac_overlap * win_um / dw))\n", "search_area = (int(win_um / du), int(win_um / dv), int(win_um / dw))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# load tense stacks\n", "images = natsorted(glob.glob(os.path.join(folder, \"Series001_t22_z*_ch00.tif\")))\n", "im_shape = plt.imread(images[0]).shape\n", "alive = np.zeros((im_shape[0], im_shape[1], len(images)))\n", "for i, im in enumerate(images):\n", " alive[:, :, i] = plt.imread(im)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# load relaxed stack\n", "images = natsorted(glob.glob(os.path.join(folder, \"Series003_t05_z*_ch00.tif\")))\n", "im_shape = plt.imread(images[0]).shape\n", "relax = np.zeros((im_shape[0], im_shape[1], len(images)))\n", "for i, im in enumerate(images):\n", " relax[:, :, i] = plt.imread(im)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# 3D PIV\n", "u, v, w, sig2noise = extended_search_area_piv3D(relax, alive, window_size=window_size, overlap=overlap,\n", " search_area_size=search_area, dt=(1 / du, 1 / dv, 1 / dw),\n", " subpixel_method='gaussian',\n", " sig2noise_method='peak2peak',\n", " width=2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# correcting stage drift between the field of views\n", "u -= np.nanmean(u)\n", "v -= np.nanmean(v)\n", "w -= np.nanmean(w)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# filtering\n", "uf, vf, wf, mask = sig2noise_val(u, v, w=w, sig2noise=sig2noise, threshold=signoise_filter)\n", "uf, vf, wf = replace_outliers(uf, vf, wf, max_iter=1, tol=100, kernel_size=2, method='disk')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# plotting\n", "# representation of the image stacks by maximums projections. The red circle marks the position of the cell\n", "def update_plot(i, ims, ax):\n", " a1 = ax.imshow(ims[i])\n", " a2 = ax.add_patch(plt.Circle((330, 140), 100, color=\"red\", fill=False))\n", " return [a1, a2]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "ims = [np.max(relax[:, :, 60:], axis=2), np.max(alive[:, :, 60:], axis=2)]\n", "fig = plt.figure()\n", "ax = plt.gca()\n", "ani = animation.FuncAnimation(fig, update_plot, 2, interval=200, blit=True, repeat_delay=0, fargs=(ims, ax))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# unfiltered 3d deformation field\n", "fig11, ax = quiver_3D(-u, v, w, quiv_args={\"length\": 2, \"alpha\": 0.8, \"linewidth\": 1}, filter_def=0.1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# filtered 3d deformation field\n", "fig12, ax = quiver_3D(-uf, vf, wf, quiv_args={\"length\": 2, \"alpha\": 0.8, \"linewidth\": 1},\n", " filter_def=0.1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# saving the plots\n", "if save_plots:\n", " fig11.savefig(os.path.join(out_put_folder, \"real_data_unfiltered.png\"))\n", " fig12.savefig(os.path.join(out_put_folder, \"real_data_filtered.png\"))\n", "\n", " # This needs a working ImageMagick installation, and probably works only on linux\n", " try:\n", " import imageio\n", " plt.ioff()\n", " f1 = plt.figure()\n", " plt.imshow(ims[0])\n", " plt.gca().add_artist(plt.Circle((330, 140), 100, color=\"red\", fill=False))\n", " f1.savefig(os.path.join(out_put_folder,\"tem1.png\"))\n", "\n", " f2 = plt.figure()\n", " plt.imshow(ims[1])\n", " plt.gca().add_artist(plt.Circle((330, 140), 100, color=\"red\", fill=False))\n", " f2.savefig(os.path.join(out_put_folder,\"tem2.png\"))\n", "\n", " i1 = plt.imread(os.path.join(out_put_folder,\"tem1.png\"))\n", " i2 = plt.imread(os.path.join(out_put_folder, \"tem2.png\"))\n", " imageio.mimsave(os.path.join(out_put_folder, \"reaL_data_max_proj.gif\"),[i1,i2], fps=1)\n", " os.remove(os.path.join(out_put_folder,\"tem1.png\"))\n", " os.remove(os.path.join(out_put_folder,\"tem2.png\"))\n", " plt.ion()\n", " except Exception as e:\n", " print (\"failed to write gif of collagen embedded cell:\")\n", " print(e)" ] } ], "metadata": { "jupytext": { "cell_metadata_filter": "-all", "formats": "ipynb,py:percent" }, "kernelspec": { "display_name": "Python [conda env:windef] *", "language": "python", "name": "conda-env-windef-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }