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bluenoise-raytracer/utk_experiments/plotting/plotter.ipynb
CDaut 6eabd442b1
backing up some pointsets
2024-08-31 16:24:01 +02:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "d0850083-6fec-4a51-8128-219c643397ce",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"from matplotlib import animation\n",
"import matplotlib.image as mpimg\n",
"import numpy as np\n",
"import math\n",
"import os\n",
"import scipy"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3c65dafa-2226-4d12-a61e-f92a5f92bc97",
"metadata": {},
"outputs": [],
"source": [
"def load_pointset(path: str) -> ([], []):\n",
" xs = []\n",
" ys = []\n",
" \n",
" with open(path, 'r') as points_file:\n",
" for line in points_file.readlines()[1:]:\n",
" x, y = line.split(\" \")\n",
" y.replace(\"\\n\", \"\")\n",
" \n",
" xs.append(float(x))\n",
" ys.append(float(y))\n",
" return (xs, ys)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b08c4be6-e653-499c-803b-e125f2e24f4b",
"metadata": {},
"outputs": [],
"source": [
"def load_spectrum_to_matrix(freqpath: str) -> np.ndarray:\n",
" minfreq = 1.0e36\n",
" maxfreq = 0.0\n",
" \n",
" freqs = []\n",
" \n",
" with open(freqpath, 'r') as spectrum:\n",
" dimension = int(spectrum.readline())\n",
" for line in spectrum.readlines():\n",
" freqs.append(float(line))\n",
" minfreq = min(float(line), minfreq)\n",
" maxfreq = max(float(line), maxfreq)\n",
" \n",
" matrix = np.zeros((dimension, dimension))\n",
" \n",
" for row in range(dimension):\n",
" for col in range(dimension):\n",
" frequency = freqs[row * dimension + col]\n",
" # normalize\n",
" #frequency = (frequency - minfreq) / (maxfreq - minfreq)\n",
" frequency = math.sqrt(frequency / maxfreq);\n",
" matrix[row][col] = frequency\n",
" return matrix"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3a4fff42-a5fe-4b80-93ba-54482e755c79",
"metadata": {},
"outputs": [],
"source": [
"def load_pcf(pcfpath: str) -> ([],[]):\n",
" xs = []\n",
" ys = []\n",
" with open(pcfpath, 'r') as pcffile:\n",
" for line in pcffile.readlines():\n",
" ys.append(float(line))\n",
" xs = range(len(ys))\n",
"\n",
" return (xs, ys)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "4bc08371-8322-4f1a-b78a-8a0f94dd8a7f",
"metadata": {},
"outputs": [],
"source": [
"def load_radspec(specpath: str) -> ([], []):\n",
" xs = []\n",
" ys = []\n",
"\n",
" with open(specpath, 'r') as specfile:\n",
" for line in specfile.readlines():\n",
" x, y = line.split(\", \")\n",
" xs.append(float(x))\n",
" ys.append(float(y))\n",
" return (xs, ys)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c08e9726-cd2b-4d8a-a0ec-ef63fc8d7334",
"metadata": {},
"outputs": [],
"source": [
"def load_pcfseries(folderpath):\n",
" pcffiles = os.listdir(folderpath)\n",
" values = {}\n",
"\n",
" for pcffilename in pcffiles:\n",
" cutoff = pcffilename.split(\"_\")[1].split('.txt')[0]\n",
" values[cutoff] = load_pcf(os.path.join(folderpath, pcffilename))\n",
"\n",
"\n",
" return values"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "63bb5f2d-d222-47b8-99c8-1ebb0e1839ca",
"metadata": {},
"outputs": [],
"source": [
"def load_heck_pcf(filepath):\n",
" xs = []\n",
" ys = []\n",
"\n",
" with open(filepath, 'r') as specfile:\n",
" for line in specfile.readlines():\n",
" x, y = line.split(\" \")\n",
" xs.append(float(x))\n",
" ys.append(float(y))\n",
" return (xs, ys)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "168ce96b-c7ba-49fd-b35f-f06529305a4b",
"metadata": {},
"outputs": [],
"source": [
"def load_heck_pcfseries(folderpath):\n",
" pcffiles = os.listdir(folderpath)\n",
" values = {}\n",
"\n",
" for pcffilename in pcffiles:\n",
" filename, file_extension = os.path.splitext(os.path.join(folderpath, pcffilename))\n",
" if file_extension != \".txt\":\n",
" continue\n",
" cutoff = pcffilename.split(\"_\")[1].split('.txt')[0]\n",
" values[cutoff] = load_heck_pcf(os.path.join(folderpath, pcffilename))\n",
"\n",
"\n",
" return values"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "f15def42-e258-4ff4-bcff-d8cd3a1e927d",
"metadata": {},
"outputs": [],
"source": [
"def load_utk_rdfseries(folderpath):\n",
" rdffiles = os.listdir(folderpath)\n",
" values = {}\n",
"\n",
" for rdffilename in rdffiles:\n",
" filename, file_extension = os.path.splitext(os.path.join(folderpath, rdffilename))\n",
" if file_extension != \".txt\":\n",
" continue\n",
" cutoff = rdffilename.split(\"_\")[1].split('.txt')[0]\n",
" values[cutoff] = load_radspec(os.path.join(folderpath, rdffilename))\n",
"\n",
"\n",
" return values"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "cd9f363e-99f6-495d-a64c-793175509699",
"metadata": {},
"outputs": [
{
"ename": "CalledProcessError",
"evalue": "Command '['ffmpeg', '-f', 'rawvideo', '-vcodec', 'rawvideo', '-s', '3840x2880', '-pix_fmt', 'rgba', '-framerate', '3.3333333333333335', '-loglevel', 'error', '-i', 'pipe:', '-vcodec', 'h264', '-pix_fmt', 'yuv420p', '-y', 'animation_UTK_Heck.mp4']' returned non-zero exit status 255.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/animation.py:243\u001b[0m, in \u001b[0;36mAbstractMovieWriter.saving\u001b[0;34m(self, fig, outfile, dpi, *args, **kwargs)\u001b[0m\n\u001b[1;32m 242\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 243\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 244\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/animation.py:1109\u001b[0m, in \u001b[0;36mAnimation.save\u001b[0;34m(self, filename, writer, fps, dpi, codec, bitrate, extra_args, metadata, extra_anim, savefig_kwargs, progress_callback)\u001b[0m\n\u001b[1;32m 1108\u001b[0m frame_number \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m-> 1109\u001b[0m \u001b[43mwriter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrab_frame\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msavefig_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/animation.py:371\u001b[0m, in \u001b[0;36mMovieWriter.grab_frame\u001b[0;34m(self, **savefig_kwargs)\u001b[0m\n\u001b[1;32m 370\u001b[0m \u001b[38;5;66;03m# Save the figure data to the sink, using the frame format and dpi.\u001b[39;00m\n\u001b[0;32m--> 371\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_proc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstdin\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mframe_format\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 372\u001b[0m \u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msavefig_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/figure.py:3390\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[0;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[1;32m 3389\u001b[0m _recursively_make_axes_transparent(stack, ax)\n\u001b[0;32m-> 3390\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/backend_bases.py:2193\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m 2192\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[0;32m-> 2193\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2194\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2195\u001b[0m \u001b[43m \u001b[49m\u001b[43mfacecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfacecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2196\u001b[0m \u001b[43m \u001b[49m\u001b[43medgecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43medgecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2197\u001b[0m \u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2198\u001b[0m \u001b[43m \u001b[49m\u001b[43mbbox_inches_restore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_bbox_inches_restore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2199\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2200\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/backend_bases.py:2043\u001b[0m, in \u001b[0;36mFigureCanvasBase._switch_canvas_and_return_print_method.<locals>.<lambda>\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 2042\u001b[0m skip \u001b[38;5;241m=\u001b[39m optional_kws \u001b[38;5;241m-\u001b[39m {\u001b[38;5;241m*\u001b[39minspect\u001b[38;5;241m.\u001b[39msignature(meth)\u001b[38;5;241m.\u001b[39mparameters}\n\u001b[0;32m-> 2043\u001b[0m print_method \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mwraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2044\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 2045\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m: \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/backends/backend_agg.py:433\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_raw\u001b[0;34m(self, filename_or_obj, metadata)\u001b[0m\n\u001b[1;32m 432\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmetadata not supported for raw/rgba\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 433\u001b[0m \u001b[43mFigureCanvasAgg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 434\u001b[0m renderer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_renderer()\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/backends/backend_agg.py:388\u001b[0m, in \u001b[0;36mFigureCanvasAgg.draw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 386\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtoolbar\u001b[38;5;241m.\u001b[39m_wait_cursor_for_draw_cm() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtoolbar\n\u001b[1;32m 387\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m nullcontext()):\n\u001b[0;32m--> 388\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 389\u001b[0m \u001b[38;5;66;03m# A GUI class may be need to update a window using this draw, so\u001b[39;00m\n\u001b[1;32m 390\u001b[0m \u001b[38;5;66;03m# don't forget to call the superclass.\u001b[39;00m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/artist.py:95\u001b[0m, in \u001b[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m 93\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(draw)\n\u001b[1;32m 94\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw_wrapper\u001b[39m(artist, renderer, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 95\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 96\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m renderer\u001b[38;5;241m.\u001b[39m_rasterizing:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/artist.py:72\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m 70\u001b[0m renderer\u001b[38;5;241m.\u001b[39mstart_filter()\n\u001b[0;32m---> 72\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/figure.py:3154\u001b[0m, in \u001b[0;36mFigure.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m 3153\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpatch\u001b[38;5;241m.\u001b[39mdraw(renderer)\n\u001b[0;32m-> 3154\u001b[0m \u001b[43mmimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_draw_list_compositing_images\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3155\u001b[0m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43martists\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msuppressComposite\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3157\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m sfig \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msubfigs:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/image.py:132\u001b[0m, in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m artists:\n\u001b[0;32m--> 132\u001b[0m \u001b[43ma\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 134\u001b[0m \u001b[38;5;66;03m# Composite any adjacent images together\u001b[39;00m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/artist.py:72\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m 70\u001b[0m renderer\u001b[38;5;241m.\u001b[39mstart_filter()\n\u001b[0;32m---> 72\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/axes/_base.py:3070\u001b[0m, in \u001b[0;36m_AxesBase.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m 3068\u001b[0m _draw_rasterized(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, artists_rasterized, renderer)\n\u001b[0;32m-> 3070\u001b[0m \u001b[43mmimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_draw_list_compositing_images\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3071\u001b[0m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43martists\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msuppressComposite\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3073\u001b[0m renderer\u001b[38;5;241m.\u001b[39mclose_group(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maxes\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/image.py:132\u001b[0m, in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m artists:\n\u001b[0;32m--> 132\u001b[0m \u001b[43ma\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 134\u001b[0m \u001b[38;5;66;03m# Composite any adjacent images together\u001b[39;00m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/artist.py:72\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m 70\u001b[0m renderer\u001b[38;5;241m.\u001b[39mstart_filter()\n\u001b[0;32m---> 72\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/patches.py:588\u001b[0m, in \u001b[0;36mPatch.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m 587\u001b[0m affine \u001b[38;5;241m=\u001b[39m transform\u001b[38;5;241m.\u001b[39mget_affine()\n\u001b[0;32m--> 588\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_draw_paths_with_artist_properties\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 589\u001b[0m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 590\u001b[0m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maffine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 591\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Work around a bug in the PDF and SVG renderers, which\u001b[39;49;00m\n\u001b[1;32m 592\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# do not draw the hatches if the facecolor is fully\u001b[39;49;00m\n\u001b[1;32m 593\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# transparent, but do if it is None.\u001b[39;49;00m\n\u001b[1;32m 594\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_facecolor\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_facecolor\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/patches.py:573\u001b[0m, in \u001b[0;36mPatch._draw_paths_with_artist_properties\u001b[0;34m(self, renderer, draw_path_args_list)\u001b[0m\n\u001b[1;32m 572\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m draw_path_args \u001b[38;5;129;01min\u001b[39;00m draw_path_args_list:\n\u001b[0;32m--> 573\u001b[0m \u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdraw_path_args\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 575\u001b[0m gc\u001b[38;5;241m.\u001b[39mrestore()\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/backends/backend_agg.py:132\u001b[0m, in \u001b[0;36mRendererAgg.draw_path\u001b[0;34m(self, gc, path, transform, rgbFace)\u001b[0m\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 132\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_renderer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtransform\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrgbFace\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOverflowError\u001b[39;00m:\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: ",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mCalledProcessError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[10], line 23\u001b[0m\n\u001b[1;32m 20\u001b[0m plot\u001b[38;5;241m.\u001b[39mset_ydata(functions[keys[frame]][\u001b[38;5;241m1\u001b[39m])\n\u001b[1;32m 22\u001b[0m anim \u001b[38;5;241m=\u001b[39m animation\u001b[38;5;241m.\u001b[39mFuncAnimation(fig\u001b[38;5;241m=\u001b[39mfig, func\u001b[38;5;241m=\u001b[39mupdate, frames\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlen\u001b[39m(keys), interval\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m300\u001b[39m)\n\u001b[0;32m---> 23\u001b[0m \u001b[43manim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43manimation_UTK_Heck.mp4\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m600\u001b[39;49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/animation.py:1089\u001b[0m, in \u001b[0;36mAnimation.save\u001b[0;34m(self, filename, writer, fps, dpi, codec, bitrate, extra_args, metadata, extra_anim, savefig_kwargs, progress_callback)\u001b[0m\n\u001b[1;32m 1085\u001b[0m savefig_kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtransparent\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m \u001b[38;5;66;03m# just to be safe!\u001b[39;00m\n\u001b[1;32m 1086\u001b[0m \u001b[38;5;66;03m# canvas._is_saving = True makes the draw_event animation-starting\u001b[39;00m\n\u001b[1;32m 1087\u001b[0m \u001b[38;5;66;03m# callback a no-op; canvas.manager = None prevents resizing the GUI\u001b[39;00m\n\u001b[1;32m 1088\u001b[0m \u001b[38;5;66;03m# widget (both are likewise done in savefig()).\u001b[39;00m\n\u001b[0;32m-> 1089\u001b[0m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mwith\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mwriter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msaving\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m\\\u001b[49m\n\u001b[1;32m 1090\u001b[0m \u001b[43m \u001b[49m\u001b[43mcbook\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_setattr_cm\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_is_saving\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmanager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 1091\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43manim\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mall_anim\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 1092\u001b[0m \u001b[43m \u001b[49m\u001b[43manim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_draw\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Clear the initial frame\u001b[39;49;00m\n",
"File \u001b[0;32m/nix/store/k3701zl6gmx3la7y4dnflcvf3xfy88kh-python3-3.11.9/lib/python3.11/contextlib.py:158\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 156\u001b[0m value \u001b[38;5;241m=\u001b[39m typ()\n\u001b[1;32m 157\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 158\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgen\u001b[38;5;241m.\u001b[39mthrow(typ, value, traceback)\n\u001b[1;32m 159\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m 160\u001b[0m \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[1;32m 161\u001b[0m \u001b[38;5;66;03m# was passed to throw(). This prevents a StopIteration\u001b[39;00m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m exc \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/animation.py:245\u001b[0m, in \u001b[0;36mAbstractMovieWriter.saving\u001b[0;34m(self, fig, outfile, dpi, *args, **kwargs)\u001b[0m\n\u001b[1;32m 243\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 244\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m--> 245\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinish\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/nix/store/zkknd8lr320pzg0ip9y95d7wcq5gryaf-python3-3.11.9-env/lib/python3.11/site-packages/matplotlib/animation.py:360\u001b[0m, in \u001b[0;36mMovieWriter.finish\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 356\u001b[0m _log\u001b[38;5;241m.\u001b[39mlog(\n\u001b[1;32m 357\u001b[0m logging\u001b[38;5;241m.\u001b[39mWARNING \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_proc\u001b[38;5;241m.\u001b[39mreturncode \u001b[38;5;28;01melse\u001b[39;00m logging\u001b[38;5;241m.\u001b[39mDEBUG,\n\u001b[1;32m 358\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMovieWriter stderr:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, err)\n\u001b[1;32m 359\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_proc\u001b[38;5;241m.\u001b[39mreturncode:\n\u001b[0;32m--> 360\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError(\n\u001b[1;32m 361\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_proc\u001b[38;5;241m.\u001b[39mreturncode, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_proc\u001b[38;5;241m.\u001b[39margs, out, err)\n",
"\u001b[0;31mCalledProcessError\u001b[0m: Command '['ffmpeg', '-f', 'rawvideo', '-vcodec', 'rawvideo', '-s', '3840x2880', '-pix_fmt', 'rgba', '-framerate', '3.3333333333333335', '-loglevel', 'error', '-i', 'pipe:', '-vcodec', 'h264', '-pix_fmt', 'yuv420p', '-y', 'animation_UTK_Heck.mp4']' returned non-zero exit status 255."
]
},
{
"data": {
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tNmvWLPb999+zZ555hmVkZLBzzz03/L0JEfIlueuuu9js2bNZdnY2a9WqFWvdujU7cuRIuNzDDz/MALAhQ4aw5cuXa/7WrFkTLrdo0SLWv39/9s4777C5c+eyr7/+mj344IMsOTmZXXHFFeRgS/iKhBFWPv30UwaA1apVS/OXkpLCBg0axBirmszN/v7617+G20xNTWW9evXS9PvII49wHQmJ+CBSYYUxxl555RXWpk0blp6ezjp16sTef//9cLsh7rjjDlazZk22YcMGTd0ZM2YwAOzNN9+UHnMwGGRjx45lrVq1YmlpaaxLly7sm2++MQgCemGlpKSEDRs2jHXp0oVlZmayGjVqsLPPPps999xz4QWTMcaOHj3K/vznP7N69eoxRVE01zF58mR29tlns/T0dNauXTs2duxYNmnSJMfCCmOM7dmzhw0ZMoQ1bdqUpaamsubNm7NBgwZpkpkVFRWxZ599lp199tksLS2N1a1bl5133nlsxIgRGifX0H3/8ccfpe7l3Llz2cUXX8wyMjJY/fr12eDBgw1J1EL38a677jLU//jjj1mXLl1YWloaa9q0KXv00Uc1UTvq+yGaY0L37ejRo+zGG29kbdq0YTVq1GBpaWmsffv27KmnnmLHjx/njv/9999nnTt3ZmlpaaxBgwbs9ttvZ3v27JHuW+1IvXXrVnbttdeyFi1asPT0dJaRkcHOO+889tJLL1kmniOIaKMwpsvuFCcoioIvvvgCN9xwA4BKR8Lbb78dGzZs0KitAaB27dpo2rQpysvLsX37dtN2zzjjDDRp0gQAkJWVhauvvlqTLnvixIl48cUXkZeX5+4FEQRBEATBJa4cbM3o3r07AoEA8vPzcemll3LLhBI4ydKnTx+DbX3Lli3IysqKaKwEQRAEQcgTV8JKUVERtm3bFn6/c+dOrFu3DvXr10eHDh1w++23Y/DgwXjjjTfQvXt3HD58GPPnz8d5551niACQYcSIEejduzdefvllDBo0CCtXrsR7772H9957z83LIqopgUDAkLZejaIoBi0hQRBEdSSuzEALFizA5Zdfbjh+1113ITs7G+Xl5XjxxRcxZcoU5OXloUGDBujVqxdeeOGFcOihXb799luMGjUKW7duRdu2bTFy5Ejcd999kV4KQaBv375YuHCh8HxWVhZ27doVvQERBEH4lLgSVggikdi8eTNOnDghPJ+enu5YyCYIgkgkSFghCIIgCMLXJFRSOIIgCIIgEo+4cLANBoPYt28f6tSpo8kcShAEQRCEf2GM4cSJE2jevHlEWzjEhbCyb98+tGrVKtbDIAiCIAjCAXv27LHcxNSMuBBW6tSpA6DyYjMzM2M8GoIgCIIgZCgsLESrVq3C67hT4kJYCZl+MjMzSVghCIIgiDgjUhcOcrAlCIIgCMLXkLBCEARBEISvIWGFIAiCIAhfQ8IKQRAEQRC+hoQVgiAIgiB8DQkrBEEQBEH4GhJWCIIgCILwNSSsEARBEATha0hYIQiCIAjC15CwQhAEQRCEryFhhSAIgiAIX0PCCkEQBEEQvoaEFYIgCIIgfA0JKwRBEAThEf/5cRtenf17rIcR96TEegAEQRAEkYhUBIJ4bc5mAMBtF7VGyzNqxnhE8QtpVgiCIAjCA5jqdWlFMGbjSARIWCEIgiAIwteQsEIQBEEQhK8hYYUgCIIgPIAx6zKEHCSsEARBEATha0hYIQiCIAgPYCDViluQsEIQBEEQHkBmIPcgYYUgCIIgCF9DwgpBEARBEL6GhBWCIAiC8AAyA7kHCSsEQRAE4QHkYOseJKwQBEEQBOFrSFghCIIgCA8gM5B7kLBCEARBEB5Asop7kLBCEARBEISvIWGFIAiCIDyAkR3INWwLK4sWLcL111+P5s2bQ1EUfPnll5Z1SktLMXr0aGRlZSE9PR1nnnkmJk+e7GS8BEEQBBEXkKjiHil2KxQXF6Nr166455578Kc//UmqzqBBg3Dw4EFMmjQJZ511FvLz81FRUWF7sARBEARBVD9sCysDBgzAgAEDpMvPnj0bCxcuxI4dO1C/fn0AQJs2bex2SxAEQRBxRTStQEWlFfhh00Fc3rExMjNSo9dxlPDcZ+Xrr79Gz5498eqrr6JFixbo0KEDnnjiCZw6dUpYp7S0FIWFhZo/giAIgogroiisPDljPR77ZB0e/nht9DqNIrY1K3bZsWMHlixZgoyMDHzxxRc4fPgwHnroIRw9elTotzJ27Fi88MILXg+NIAiCIBKC7387AABYtOVQjEfiDZ5rVoLBIBRFwdSpU3HhhRfi2muvxbhx45CdnS3UrowaNQoFBQXhvz179ng9TIIgCIJwFUq37x6ea1aaNWuGFi1aoG7duuFjnTp1AmMMe/fuRfv27Q110tPTkZ6e7vXQCIIgCMIzKHLZPTzXrPTp0wf79u1DUVFR+NiWLVuQlJSEli1bet09QRAEQcQEklXcw7awUlRUhHXr1mHdunUAgJ07d2LdunXIzc0FUGnCGTx4cLj8bbfdhgYNGuCee+7Bxo0bsWjRIjz55JMYMmQIatSo4c5VEARBEASRsNgWVlatWoXu3buje/fuAICRI0eie/fu+Mc//gEA2L9/f1hwAYDatWsjJycHx48fR8+ePXH77bfj+uuvx1tvveXSJRAEQRCE/6AMtu5h22elb9++ph9Adna24VjHjh2Rk5NjtyuCIAiCiFtIVHEP2huIIAiCIAhfQ8IKQRAEQXiA2ghBFqHIIGGFIAiCIDxAm2fFW2klSfG0+ZhDwgpBEARBxDlJSmJLKySsEARBEIQXRNEMlOCyCgkrBEEQBOEF0TMCAUqCSyskrBAEQRBEnEM+KwRBEARB2Caa0UDks0IQBEEQhG3U0UBe78BMwgpBEARBEL4mwWUVElYIgiAIwguiaQZKcFmFhBWCIAiC8AJNNJDXPisJ7mFLwgpBEARBeIDsrssVgSDKA8GI+rLyWamIsP1YQ8IKQRAEQXiMyME2GGS47LUF6DX2BxSVVjhu30xUWbnzKDr+fTY+XLrTcfuxhoQVgiAIgvAAGZ+Vk+UB5B0/hcNFZej83BzM/m2/o77MksKN/HQdKoIML3yz0VHbfoCEFYIgCIKIEXoRY+Sn6x21Y+aykgiRQiSsEARBEIRPSHYoWVCeFYIgCIIgbOMkdNlpVE+CBwORsEIQBEEQXuAkg22yQ6mDNjIkCIIgCMIT9DKGU3NOgssqJKwQBEEQhBfImIH0x52ac8hnhSAIgiAI2zDBa1EZAEghnxUuJKwQBEEQRIzQZ7l17mCb2NIKCSsEQRAE4QFqQUQ29b5joSOxZRUSVgiCIAjCC5yYgZxGA5FmhSAIgiAIT3DPwTbysfgZElYIgiAIwgOkksLpjpNmhQ8JKwRBEAThCTKGIC3O86xo632zfh/unPQTjhaXOWrPb6TEegAEQRAEkYjI+NTqM9s6FVb0CplHpq0FALw253dH7fkN0qwQBEEQhMfIJoVz2wx0rLgcSgKECpGwQhAEQRAe4CQayGmeFZFCRnZPIr9jW1hZtGgRrr/+ejRv3hyKouDLL7+Urrt06VKkpKSgW7dudrslCIIgiLhCLt2+9kSy0zQrJuajRPC9tS2sFBcXo2vXrnj77bdt1SsoKMDgwYNx5ZVX2u2SIAiCIKoFzs1A/OOSueh8j20H2wEDBmDAgAG2O3rggQdw2223ITk52VIbU1paitLS0vD7wsJC2/0RBEEQRCxRm2BEGWwNZiDHDrb8egkiq0THZ+XDDz/E9u3b8dxzz0mVHzt2LOrWrRv+a9WqlccjJAiCIAh30ZiBJMoA7kUDJRqeCytbt27FM888g6lTpyIlRU6RM2rUKBQUFIT/9uzZ4/EoCYIgCCL66B1gnZqBEiHixwxP86wEAgHcdttteOGFF9ChQwfpeunp6UhPT/dwZARBEAThLU4y2LoeDZQgdiBPhZUTJ05g1apVWLt2LR5++GEAQDAYBGMMKSkpmDt3Lq644govh0AQBEEQMUHjsyLpPeI0GijR0+17KqxkZmbi119/1RybMGEC5s+fj88++wxt27b1snuCIAiC8DWu7bqc4FnTbAsrRUVF2LZtW/j9zp07sW7dOtSvXx+tW7fGqFGjkJeXhylTpiApKQmdO3fW1G/cuDEyMjIMxwmCIAgikWASWeEicbD99pd9WLL1MP55Q2dNPSbTcZxhW1hZtWoVLr/88vD7kSNHAgDuuusuZGdnY//+/cjNzXVvhARBEAQR54hdVpw72D78ceX+P+e1rKtJChdMDPlEg21hpW/fvsJ4cQDIzs42rf/888/j+eeft9stQRAEEWXKA0EUl1agXs20WA+l2uDE9+RoUZkmFiiYKF61KhLcykUQBEE45fr/W4JuY3Kw99jJWA8lLpFLt6997yQaSFG0eVYCQXUyOiREUDMJKwRBEASX3w+cAADM2XAwxiOJT2SigQwOth7sDZQIkLBCEARBmGJm+ifEyNw2/b11plnR1knEj4uEFYIgCMIW5YFgrIfgCYwxlJQHPGpb7niyQw2JupZWo5MYkLBCEARBmKJeUN9duB3tR3+Pn3cdjd2APOKxT9ah499nY89Rd3x0nAQQO8mzoiiJI5SIIGGFIAiCMEUdXTL2+98BAM98/kushuMZX6/fBwD434rdrrSnNvHImtKc+J7o9wUiMxBBEARR7UjAtc+UaLqqGsxADlZlRdGbgdTtJ8anR8IKQRAEYUqCrHfycKQVJ4u+jBlIHyXkJM+KvoZ+rIkQKUTCCkEQBGFKIiYZM0NvVvn4p1z0eHEefssrsNVONLPeq+WRRPy0SFghCIIgCBV6RcTfvvgVR4vL8Pin613vSy8HOpEL9ePVJKOz35wvIWGFIAiCIFSIAnJEid3E2E8K5wS9JkjdaKIoxUhYIQiCIExJFCdNWQyLv8VxEXLp9rUn7AtEIVS7LieMPqUKElYIgiAIUxJxF18neOGnqr+1ZAbiQ8IKQRAEYQpvAbW7CBacKndlLNFAJJTYjarRhhA7H48M5GBLEARBVGsiNSvM23gQXV+Yi39+u9GlEXmLWwoUGQ2HwcHWQT/GvYF0ocsO2vQbJKwQBEEQpkRqBnp51iYAwKQlO10YTRQQaFDsZsKX8/XR+axI3mt124Y8K7bH4H9IWCEIgiAIFSKZJBKfFZHQYDwsJ1yYCZAJIp9oIGGFIAiCMCfS1S/O7BAiocRudlkvc8KpE/UpivYjuuCleS73FntIWCEIgiBMqW7RQOLQZXvIyHhOo4ECQbEZKBEhYYUgCIIwJRHzduw7fgqvzv4d+46fMpzzJERZmGdFrpxZvUoH28T7jNSQsEIQBEGYkog+EEOyf8aEBdvR+5X5WLHjiOac2GfFrhnI2hDkVBAM6MxAiQ4JKwRBEIQpCSir4PcDJ8KvB09aqTknzrNisxMZM5AhdFnWwVZrBpLV3LwxdzMmLNgm1YefIGGFIAgiDiirCOLRaWvx6ao9Ue870l2X/f7gXxEMat6LNCiRXIcT845puaDuveQ4/m/+Nrw6ezPKKoLWhX0ECSsEQRBxwIzVe/D1+n146rNfYj2UhIPnQFxUWmE4FlEGW1EZh3JgQOu0Yrt+kDGUVQTx0ncbsWTrYWeDiCIkrBAEQcQBx0/GMF19pJHLceZUMW/TQXR+bg7G5WzRHI8kGkhoptEnhZNsW6/tEuZxARMOfMryXXh/8U7cMeknyV5jR0qsB0AQBEH4m0jNQPHG2tzjAIC3ftiKzIyqZTIaUUKytzoYlJCELMg9etJRvVhAmhWCIAjClGomq2h48btN4deRRAPJOs6qy01eshP3T1mF8oDRv0QtqwSZfeVXvH2mJKwQBEHEAbG0pHDXtThb7Nxg5c6jeOuHrdLlZcxAZoz5diPmbjyIb3/ZZzin9lkJMiYdDaSuE0+QsEIQBBEHxHJtSfRoIDuMy9mC+6aswryNB11pz3BrObe6uDRgOKY2A1l9PLz7zyTq+QkSVgiCIAhT4mlRiwY5Gw/i3imrLMtJRQM5dLBlGjOQ/dRyjLG4ykxsW1hZtGgRrr/+ejRv3hyKouDLL780LT9z5kxcffXVaNSoETIzM9GrVy/MmTPH6XgJgiCqJXEWUENAG6Ejv+uyHAHJimIzkLN+Y4VtYaW4uBhdu3bF22+/LVV+0aJFuPrqqzFr1iysXr0al19+Oa6//nqsXbvW9mAJgiAIIl5wIg/whBqeoBo0+KzYTOcfZ8KK7dDlAQMGYMCAAdLlx48fr3n/8ssv46uvvsI333yD7t272+2eIAiCiDIR+6xUE63QzDV78dGK3Xjnjh5onJkhVUfCZYWL2mfFiZaEHGwtCAaDOHHiBOrXry8sU1paisLCQs0fQRAEERvibF2LGSM/XY81uccx9vvfKw/IJIWTuLkKx0VWNs2KOBldfH2uURdW3njjDRQXF2PQoEHCMmPHjkXdunXDf61atYriCAmCIPwHb8GKFpE6YsZy7LLICA2ynCipzDYsc98MmhVOFZ5mKhDUm4HsjNCZU24siaqwMm3aNDz//POYPn06GjduLCw3atQoFBQUhP/27In+xl0EQSQ2+wtO4dOf96C0whgW6kdiubTEmzOmE7y+RtHnZ9x12QhP1JM14/y08yi2Hyq27NfvRC3d/vTp0zF06FDMmDEDV111lWnZ9PR0pKenR2lkBEFUR64ZvxgFp8qRe/Qknuh/dqyH42vibWFzgpualao2+a/dGIcmdDloPwzZi+v1kqhoVqZNm4a7774bH3/8MQYOHBiNLgmCIEwpOFWpql+45VCMRxIPxNfC5gQvNCty8oCzjrUZbO0LlPHms2Jbs1JUVIRt27aF3+/cuRPr1q1D/fr10bp1a4waNQp5eXmYMmUKgEpBZfDgwfj3v/+Niy++GAcOHAAA1KhRA3Xr1nXpMgiCIBKbmPqsxNGi5hSvo2Nk0+FzzUAWoctOTIQPTV2DDk3q2K4XK2xrVlatWoXu3buHw45HjhyJ7t274x//+AcAYP/+/cjNzQ2Xf/fdd1FRUYG//vWvaNasWfjvsccec+kSCIIgCC+JdB2vLqHLeuQy2Fod4KMPXbb7Ga3efcxehRhjW7PSt29fU1tXdna25v2CBQvsdkEQBBE14ismIjZE6x5t2FeAwlMV6HVmg6j0p2b59iOutymTwVYG69Blp6nz4+e7HzUHW4IgCD9SHUwckRKtezTwrSUAgOWjrkCzujWi0+lp7sn+2bW27NwvoxlIrnLAxkaGsn37GdrIkCAIgjAl2qHL+46XRLdDj5AyA+kkBq4AwTGjMY2Drf08K/EGCSsEQVRrEn2Sd4Nom8qSkxLDyYVJSCsySeF4aMxAdgbloC8/QMIKQRAEYcrs3w7goxW7Pe1DrSlIEFlFChmBgXc7AnrNioO+42l/IBJWCIKo1sTLdB3LiJqTZQE8++Vv2HnYmAlVBkVi8GofjKSECR+yH17MK8e7f5rQZQZHX+QACSsEQRBEonG4qNSztgMs8YQVmQy2euFE2gykcbB1mFgujvZRIGGFIAiCkKI8EAy/3nG4GEdcFF6CVU0jKUFWJrcS2PL3BtK+dmIIImGFIAgiToi3PVJiiX5xe+m7Te61HaealZGfrsMTM9ZblpNNCif7baTQZYIgCILgUBHQrm4HT8iFGMuIHvHos3L8ZBlmrsnDZ6v34mhxWfh46EqcbWQY+reqAu92BDQZbJ2FLpNmhSAIgohreBontRmosox7/QU1wop77XqJ2vG1rCJoOC9jmpHdM0hPQONg6ywaiBxsCYIgiITD6kl89e5juOXd5Zj1637b5rWARpMQH9KKWqjSC3J6ROKE8ThT/V9MQOXk41TkCJJmhSAIInocOlGK57/egM0HTtiuG0cPl1GFd1/KLRa3P01chp92HsVDU9dgyvKqvCwysoebCydjDH+auAz93lyIbflFrrVr6Ef1uowjrEhFA+nT7Z9+H7QwA6lNcpVmIAcOtnH05SdhhSCIuOepz9Yje9ku9B+/KNZD8Yxo6xp4y5j6ad6KN+dtsdWf3qwRCUWlFVi9+xi2HCzCzDV7I2rLDPUw9f48gJzGQ+Rgq26bv5Fh5A625LNCEAQRRX7bV+i4Lu26LE+5bkE2WyTtakrcXDjVLXm6HqvatjYD2cNSs6JxsHVmCqIMtgRBEFEkPjwc4guedoOnPRDX5x8vOFnOPa5W2kS6hIr6PlxUivunrMKCzfkR9nC6H9VI+WYgvh1o+s+5uGvyShSXVnA2MpS7en1SOIoGIgiCSGDi6OEyqvBuS4UNM5BIMzDkvz9zywdcMGtUNcA//NzXGzB340Hc/SF/DLa7sTADiYb09Oe/YuGWQ5i0ZKfQDGSl9ahwIc9KHMkqJKwQBBH/xEnwSNyjX5DNTGgi583Vu49h/Z7jGPnpOhwsrMrT4tVTvnqMe4+dcrntKtRmIFntyImScvFuzFahy/o8K1I9aomnaKCUWA+AIAiC8B+8xVKvWTH1WTE598f/LAVQGcX1v6EXnS6vrhDZIipauiss/Eps96Mas9NoID0LNh/CoROlqJGWbFpOk8FWrmkDFXEkrJBmhSCIak38TNfRhbfg21rcJIqqd3F2I328VX23tTcazYpFUjiRtoV3n//2xa86M5pRdVih06w4uWnxtNUECSsEQVRr4mnC9oLSigB+2HQQRaUVmuNczYoNB1tNkjeBC7Q6rb4bmgKr+m5rEtT3iKdZsUJRFO593pZfpDm+Ia/AUEYv3Dm5MsqzQhAEQbiKV345Y2f9jqH/XYUHP1ptWVZvRjFb6mTCYtXXpC7/zsLtOBzBjs5MICi5r1mpao8XuqwxA3HqKxArRNTX8O6iHdhz9KTmfEAXDeQEl61inkLCCkEQcY/oyV2GeHm29Ooh+OOfcgEAi7cetixrRzOhSWom+HhEmpWZa/KkhCepcVgIFBE2Hoa7N5CVz4pishuz7sSGfVrtSkCfZ8XB9yOeHGxJWCEIgiAM8B1s3V3c1EKMXuvx865jjttlgjde+qyohRXGOW+rXcYMmqkydXr9IMPbP27T9OckHoiSwhEEQRCu4ofwbIPPSoRrnUizoud/y3fhjg9+QrHOr0aEyPyiz8AbKVqfFXMHYbEGReR4q0XtwPv1+n2ac06FDvJZIQiCiCIRLeQ+m6/zC0swNPtn/OhSllWn8KOB9D4rkd089a7FZgvn37/agCXbDiN72S6pdkVROHb2NpLh2S9/C7/mm4HM/UoUKNJmILUJSx1FFWqbMtgSBEEQUeOFbzbih9/zcY9LWVadEg0zkFqzIiNHqDUrR4pKUVjCT92vlgDsZJm1y7xNB8OvucKKRX1FEWth9MKNesfrlCStdF4dNjKkpHAEQcQ9CaRY0WR19RsBh4u96PNR5w+RMUmEiheXVqDHi/MAALteGWhaR92ql0nQ3HbeNTMDJSdr72jQoWYljqxApFkhCIKIByKJeHICbx3Tm30iXezUCgKZyJTQPdh95KRpOXVL6jF6qUngClsW0UCKvpCqrN4PRS0MJSt6YcVhnpU40qyQsEIQBOEjRP43kfqH2IXnY+FYOBFclKyDrVkzVuNU3zc7GzHahSdsbT54wrSOyAwEmPusJLtlBooj1QoJKwRBxD28dOSy+C2DrYwGJRpj5mtWTMo7GJOsg20I3p3Rywj5J0rwz283qsYlLusmPBPTpCU7q8YhuHuiIZmFLhuFFebo/p8qC9iuEytsCyuLFi3C9ddfj+bNm0NRFHz55ZeWdRYuXIgePXogIyMD7dq1wzvvvONkrARBEK4jM8WPn7cFfV/7EUeLyzwfj4y1hzFgxY4j+Hz1Xu/Ho+tX81712olJQdE42ErU5wil+kX98U/X47tf99seS6RYXb+sBgWoFGz0xyvMNCtSIzSi32LBz9gWVoqLi9G1a1e8/fbbUuV37tyJa6+9FpdeeinWrl2Lv/3tb3j00Ufx+eef2x4sQRBELBg/byt2HTmJdxdt97wvoTOq6gwD8Jf3VuDxGesNmU3dQrSIastUvXeSw8SuZiWJc3P0wsq6Pcc173/NK8CYbzai4JQgcsgl1OOQ1UrZ8UNSm4GSDD4r/tIOeoHtaKABAwZgwIAB0uXfeecdtG7dGuPHjwcAdOrUCatWrcLrr7+OP/3pT3a7JwiCcBU787zboa88ZCxaaiEh79gptKhXA4u2Hka/c5ogIzXZnYHYtAOZCRuiS7Lts8JpSd+tvsTq3cewevcxTF66E17iJNJIUcTmIaODrdgM5DTdfjzhuc/K8uXL0a9fP82x/v37Y9WqVSgv50u6paWlKCws1PwRBEGIiFZ2V78sCPphDJ68Eo9OW4uXvtsU1X415wQ3p6Q8gP0Fp7jnNHlWdPV5nynvmLFebFL96s1Y+veiaCBZ85B6V2eDOc4vX0wP8VxYOXDgAJo0aaI51qRJE1RUVODwYf7GWWPHjkXdunXDf61atfJ6mARB+JzDRaX4YPEOHIlgN14edqJsohGRI+dgq33/y95KU9BX6/JcGwfvWvWLIhO8VnPVuIU4WMj/zLR7A+nOSY5Nr9CI1bYEes2QXtNix8GWG7qsyrOiz8TLWPSjxaJNVKKB9JJu6AsvkoBHjRqFgoKC8N+ePXs8HyNBEP7mgf+txovfbcIwl3bjdUI0HmD9sAcQwL9WM0uH6N7sPcbXqgD6DLZMeC4EPxqIWZaJBnphRcqPRFGEoddfrdPu/6P2WZEVhBIJzzPYNm3aFAcOHNAcy8/PR0pKCho0aMCtk56ejvT0dK+HRhBEHLF69zEAke3GGynRULdL+azEaHFy25EzSfW4rPd5kTYDBfX1YiOu6MdvEChs3Lq846fw7x+2ao6VajQrepOTf0yUXuG5ZqVXr17IycnRHJs7dy569uyJ1NRUr7snCIIwxc4kH431wIkZyAtE5gnhewdjMnOw5QkdoWPqe2QwA9kfhivoxy/nMCzP978dCLfJ0+IkuKxiX7NSVFSEbdu2hd/v3LkT69atQ/369dG6dWuMGjUKeXl5mDJlCgBg2LBhePvttzFy5Ejcd999WL58OSZNmoRp06a5dxUEQVRrInmYtiWsxNAMFG2FAU+LpNesaGWVyPKs6DcClPdZsdbIRAO1AMEYk8sbA3vfqU9+zsV/l+1Ccak2mVuiCyqAA2Fl1apVuPzyy8PvR44cCQC46667kJ2djf379yM3Nzd8vm3btpg1axZGjBiB//znP2jevDneeustClsmCCLucLIgHysuwxm10twdh080K7LnRIQicH/LK8AYVdbZynOVJ9WLfkgQ0Wal1XccIzOQlYMt5waZhS7z+GhFLrYcLDIcd5rBNp6wLaz07dvX9KZkZ2cbjl122WVYs2aN3a4IgiB8hd314LU5v+M/P27Hv//SDX/s1sK9cbjwLF0RCGLepoOakFgrzHxWnIwoJJC88M0Gw7mQYKL2BQmZfzQJ2HwaDWTQQnFDl+0NVhQJt/NwMQ4XRSG7cgyhvYEIgoh7orUjsd0F+T8/Vma8fe5r42IsQsZB1I2H6OxluzDsI/FDpFQ0ENOaPuwS0qykJBmXotBdCHA0K0ETzUrMfFYsHGxF2LltImEx0QUVgIQVgiASjJyNB3HFGwvw617309A7VbUHVY6RP/6eb7rHULQW2+9/O2B6XibPira8fUKCWUqy8arDZiCNZgWGY37Ns2JICieoZyuDsq7NrAY15SvHOSSsEAQR96gXqPumrMKOQ8W4b8oq5BeWGBw39UTD1h9aY6b+tBv3ZP+MgW8tFpaVC12OnAob5p8QpmagCHxWUnib/pw+pF6gQwKM+jMzhC771mcl9K9WU2TntgV02z1w71uCQsIKQRAJyYHCElz48g+mgoFdnMo1oUV+9mltxv6CEmFZmeXHDQHLzEyxevcx/Ov7zYbj+iqRRgMlhTUrxqXIzMFWPQ6/+qyIQpfV461Mty9/3/SmplTOfUtUqs+VEgRRLdmaX4Rb31uB737Zzz1vZ4l1mhQtVI+3kBacLMecDQfCGiApnxVHo9BitinjnyYuw+dr9hqOmzqNRpBnhachCDvYchZ9tQDjF58V9TgWbz2MGau1mddDwlwkn51ewOSZzxIVElYIgoh7rKbs5TuO4K8fRx6R6FizYmJxuXPyT3jgf6vx5rwtno9DTbnZoBzgzGel8l8zzQpvN2dTB9sYqVb0gsS7C3do3oeGGYzADKQ3ebmpWfF76LPn6fYJgiASBafTeVizwhGrQpsQZi/dhfmb8rH54AnvBqLCTLMiwpgUThxCLENIIEnlaVZCfapkKt6CLxl04zlWSeAYKhPfaYWVKmlFUazvoV4gSuVEUSUqJKwQBBH3RPI07UboqGw9s2GeKg/ICSpwJ8+KTDp4PWbKGGc+K5X/8swZCkezErqP2jwres2K7WG4Ak8DpKaopAJdX5iLjs3qaI6H7luSoli2ocdNMxBj/tlEk0f1EcsIgiA4RGNXFbef/l0xA/kiGkjsYBt2pg0atShaMxC/XrSx0lQt2JKPU+UBrM09zj3vZNi8++YUnyiohJBmhSAIQpYYzOjPffUbaqWnoL4qZb8bw3CiWTFNt+9gDIqJg20Sx8GWp1kxOtjGRlqx0rqJRhWq5kTISnNVs8IQO/dka0izQhBE3BPJFMsYUFRagVe+/x2/5Zknkou2rLLn6En8d/luTFiwnbtoR4IbmhX1W/cz2BrNQKE+mJmwEivNioXwx99Fuuo75cSUybtvTvG7ZoWEFYIgqj2vz9mMdxZux3X/t8S0XKRCgt0FqaQ8wD3uhrDiyGfFIzNQKjeD7ek+eWYglZyl96OJWeiylbDCPaaE75uT/G5u+6z4GRJWCIKo9mzcV6h5v3LnUazJPWYoF+mEbndpEXXnTuiyE2HF3XGEFAORONjqBaikGKlWrJxjRcMK+Uw5MV9Vp6Rw5LNCEES1Rr/EFJaUY9C7ywEAW18aoFkQov3wKQrRjZVmRV9DkxPOwZCqfFbEDrYBSwdbvYet/XG4gT4Vvh6eMKIWYJzIWG6m24+Go3kkVB+xjCCIxMXFBargZHn4tWFzuojNQPbKM8Gi7EZ0kTMHWxMzUASLHd/B9rRmRTVOvs+Ktp5fdl3WI9SshM1ADjQrKW4mhXOtKU8gYYUgiJhzuKg0Zhk09d16OQy7y5FIOLLyj/AKt31WQnWSTXxW+NFA6jb8sco68FcGYyoHWwd98pLpJSokrBAEEVM+XbUHPV+ch3/NNm6cFx2YvFYgyutipNE2bmOeFM4J4lohExFPo2SmZYpVuv2AxfYFPM0JAwt/yE6GnexmNFDsv16mkLBCEERMeeHrDQCAdxZud9yGm8uTmeAS7WggL31WnGAMXTaaaOxwoqQCd076CdNW5hrOVfmsGPs3z7MSG6zMaryPXrMDswNpxU3/WvJZIQiCMEE9SQeDDKNm/oopy3dFrX/G5J8qox4N5ILPSmFJOT79eY/GF8cpbieF+/aX/Vi89TD2HD1lOBe6V1qfFeM4/JJnxallLlTNiUUnqRqZgSgaiCCImKKebhdvOxx+yh7cq418Gy6uUOYLcnSfPt3QrDw5Yz3mbDiIL9bmYdr9F7s2Hj1uK3uKSwOGPkOCi3ZvIG29WIUuVzgxAzGmymDrQLMSpe+9HyDNCkEQsUU13xaeqnr6P1FSjsc+WYsfNh30fAiy+Uwi9Wu1u7Zo+nNocpmzofL+Ld9xJHzsQEGJvYGEx6M3A2neOWpTxIHCEnT6+2zNWEP9u53N1w0sZBV+HVb1WTpRkiS7Grrsb0hYIQgipqinW/WEOX7eVny1bh+G/neVp/2bTdLua1Kcp4Uz27zPDhv3FeLisT84qmt6rzxY7U6VB/D4jPWGPpjJvYiVg62VZoUnVGmigRyM200tkh8cuM0gMxBBEDFFPUmrJ8z9BUY/BmEbEY5BNFE7DWteufMoiksrDMcj0awwuKNN+Gp9nuO6bvus2CV72S6c2aiWJlGfXxxsrQRI3nn1Z+pk3JFoVh7qeyYmLKhyave3qELCCkEQMUa9gGtDdaPTv15QMe9WblChDLh6bOdZ4WRvBezdmyTFnSRylWOI/ZL29682aN7rP79YOdhawROI1c7dzkKXnV9smwa1DGPxM2QGIggipmjNQGLHSdM2PFqg9EOQWfRFIaxO1OwiAcWO0OCmX4PBZ8Xh5+UmIz9dj4JTkUc6ec3vB04YjjGoo4GiawaKt0giElYIgogpWjNQ1fFY5X0wyx0iI3CIfBd6vDgPu4+ctDcW8MdiRzBwVVgxTQoXm8/r+MlydH1hLsblbAHgX80KF8ZUDrbRzbNi+Fr4XLNCZiCCIGKKRrPikhOpHdRPt7xzZu95VAg2tDtaXIajxWU2RmaWZ0X+5qQmJaEEKinDoqrp/j8m0UCxNiO89cNWnCytwG95hdaFfcL+ghK8NX+b4/qRaFb0QiwlhSMIgpBEEKlrCW9HW+k+9U60NsryEAkrPE6VBUzPi4Q3O4KcXXW/2TXu04U8O/28vOKDJTtjPQRbzFi9N/w62j4r+ugjP3x+ZpCwQhBETNE62GqWv6iNQTRR2xFkQpRLJtz4bPVedPrHbNMyouRndnZMNuxobLG+We0eLIL3ZO73cFg/4URLwtutWhZ9Qjm/f1IkrBAEEWMEPisxigbSnrRR9jSympUnVPlDRGiEFZH/ikUbdp++7QhCani3xmlb1REnmpVInGT1Vf0uWJKwQhBETNFoViC/CLuJ2GdF7KMhojzgIJWpAJFmxY75xfD0bZkPxL07T7KKPI4cbCkayJwJEyagbdu2yMjIQI8ePbB48WLT8lOnTkXXrl1Rs2ZNNGvWDPfccw+OHDliWocgiOqB2ME2VtFAJuckRCg3tQlquUf95BsM8rUsPJKTvdOsWEUo+SEvS7zA+5RqpCab1olMs5LgZqDp06dj+PDhGD16NNauXYtLL70UAwYMQG6ucYtvAFiyZAkGDx6MoUOHYsOGDZgxYwZ+/vln3HvvvREPniCI+Ec9aTp2sI3gIZHjaaEZg92QYau063YICJLCBQVaFh4pSbpp3uJeOd892FiRhBUbcD6X9FTzJTqyaCDte79/VLaFlXHjxmHo0KG499570alTJ4wfPx6tWrXCxIkTueVXrFiBNm3a4NFHH0Xbtm1xySWX4IEHHsCqVd7u90EQhDccKSrFX95bji/W7rUuLIEwg60rrUcGg30/mnIb0UBWiMKV7QhQBp8VKzOQiz4rZAaShyd4WIkikTjYGqKBfPGLE2NLWCkrK8Pq1avRr18/zfF+/fph2bJl3Dq9e/fG3r17MWvWLDDGcPDgQXz22WcYOHCgsJ/S0lIUFhZq/giC8Aevz92MFTuOYsR0awdRGdRTpmhBdpNt+UUYNfOXqgN6iUQFY9opXGZCtxO6bIXa/0WsWTHvz+6CZicayCp2izQr8vA+JivNSSRmIIO/i88/KlvCyuHDhxEIBNCkSRPN8SZNmuDAgQPcOr1798bUqVNxyy23IC0tDU2bNkW9evXwf//3f8J+xo4di7p164b/WrVqZWeYBEF4iDq1+ZaDJ3DHBz9h9e6jjttTBGYgr/jTxGWYtnKPsE/j5oX2zECyocsyaP1HRFoW8zYMmhUrM5AddYhG68QxqLl3KxIermbF4rOKyME20X1WAF4yGSbc3nrjxo149NFH8Y9//AOrV6/G7NmzsXPnTgwbNkzY/qhRo1BQUBD+27Nnj7AsQRCx4+7JK7Fk22H8aSJ/4z7bOMzSagf9PjJFpRVYv7egagjq4XDeW+GmZqUiyBdK1Pdm7zHz3antRgM5z7Ni3tboazs5ard6Yy6MRJRuP85igW0Nt2HDhkhOTjZoUfLz8w3alhBjx45Fnz598OSTT6JLly7o378/JkyYgMmTJ2P//v3cOunp6cjMzNT8EQThP/QZTZ2gDV2uwo6CQvSw5AS9j4pd01SFi6HLasFHm3Olin/N/t20Dbt5Vhw72FpEA91+cWtnDfuAj4Ze5HkfvO+w1Ufn1MG2XaNaRs2Kz1UrtoSVtLQ09OjRAzk5OZrjOTk56N27N7fOyZMnkaQT4ZKTK8Ox/J6Ehohfxs/bgstfX2B7LxbCHm7ICGIH2xiFLmtyvTDbDrYVroYu831WRHNnYUkF8o5rNS2GaCAL7JiBmMk7fVuRRK7EGrXA16ZBTU/6cOKz4jTd/pQhFyI1WW8G8vd6bFsRNHLkSHzwwQeYPHkyNm3ahBEjRiA3Nzds1hk1ahQGDx4cLn/99ddj5syZmDhxInbs2IGlS5fi0UcfxYUXXojmzZu7dyUEoWL8vK3YebgY7y3aEeuhVEveW7QdN/xnKU6UlFuWVe/rY8cXQ9uGe9hIaMvFzdBloRnIpItHPl6D57/egMlLdqKkPGDbZ8XNDLaJEg2kvoftGtX2pA+eXGIl3zl1sG15Rk2c06wu+p7dKHzM77oD27su33LLLThy5AjGjBmD/fv3o3Pnzpg1axaysrIAAPv379fkXLn77rtx4sQJvP3223j88cdRr149XHHFFfjXv/7l3lUQhICAiwsHIc/LsypNEx8u3YVHr2xvWtZvocv67YmYhEZDjZuhywFB8jczf541ucexJvc4gEoH6BTVEzRjLKo+K+pxxrFiJSLfEFl4U5WlZiWCm1ojLRnZ91yIDs9+j7KKoM/1Kg6EFQB46KGH8NBDD3HPZWdnG4498sgjeOSRR5x0RRBEHHPSYldhQJfBFqI3Fm24uBDqfUPsbgEg62CrKNZPsxVBvoAiq7HIO35KoxWQ0ZrYMgPZyGAbyc7YsSY5Am/UlCRFyjToRCMXya7LIUIt+N0tw5GwQhDxgs9/f3GPAvMFXGYC1IQuRyEayA7MoFmxriO76FjdO0CnWdGMS+7eBBlDumqhfXzGenz/Gz/NRFUdqaalxqS+FXGtWVEN3u5lJCUpUje1rML4vbE0A7lwU+PlcyFhhSAIz5BZ90RzpS/MQLAfDSRrBkpSFEuBTJ0UThu6LNUFGNM+fX+1bp9lHcc+K5xjWs1K/BJJmK+s8oMnrHjlYMvDB88GpsRZpDVBEPEEz6RQcLIcV41biDdztlQeUM23TjPYuvl0aIgG0pw7/S9j+OvHa3DN+EX4VZWjBZD3k5IZc0BgBpKN3Agy5iB02T0HW7X/SzSigSJJP2/ebiRmILm6PGdZy6RwLqzg8WKeI2GFIAjP4D2kT1qyA9vyi/DvH7YCEO+67AfNit4MFGL3kZP47pf9+P3ACVz/9hIs3noofE5WsyKTG0acFE6qCwSZvcXoZFkFSius/Yx4Y+IJUGqB021Z5dYLW3sWRqxHLRTY/V7Kyk/XdTFGx1qm23fRDESaFYKIIT7//cU9Vgsu7ym9VKfuFqXbj1XYq0GTwvFZ0UfMbM8vCr+WTQons8yo29JofCRXlsq9jeRv5Dn/mOM8G7FF6LKbifsA4KzGtXFPn7ZWQ3CFSMYuE178yBVnod+5xsSqVjVddbD1+WxJwgqR0Pj9aSHesZoqeYuq3idCpFlxuvtvpDCdKUo9iYeEL33IqHqksknhZNY/TTSQSgaSNdWINENeYOWz4jYKjIKAU38bmb5C2I2akTFNiYSh6DjYVrbh97mShBWCIDyDt3botRLadPuxjwbSj5kXDWSWqlxaWJHQrYh8VmSjXIOMeXoftdoe4/nQ+L1wV0lSvPNRMfblfLNNGYFCAf/+WWl0UpLd06z4HRJWCILwDN5CqdeYqBdtu2HCvDYiR7sA8xxs9WuI1nzlnnBQIQhdlu0j6LFmxdpnpfJfLxZERVEiSopmh0g0GDKmmsr2jffPqqqb1+9zxQoJK0Ri43c7bKLDUzLoNQ/aDLax16w4CV22So7GrSPx3QwE+O1K98G8/QVY7fgc0qx4EQmUpDhPN28XUZZlGWSuPUmQINCqriu3Nexg6++5koQVgiAcYz1ZcjQrJpOiaEG28l9xN3RZOwbemPS+EXZT8suijQZyErrs/SK0cEtlJJRZBlsvFCCKokQlDX5lX1Wv7d5NKc2KQ6HLDaflKgdbf0PCCkEQnsHzrTA42Ar8AdS+LW/N3+r20IToF121YBAak17g0vrauDeWCs2uy/b70O8a7QXfrN93ui8joXF6kctDUaK3k7PXZiCn8Fp+5abz7LVBDrZEdYKXfZEgeFoUfWSvMBpI9ebt+dtcHpkYgwaDMyYzJ1yvfFbUfcpGvQSD0Xti5mlwwsc8cbBVPBUE1KSnOF8qZYaYpCjcz8lJnpVLOzSy3DxUTVUT/pZWSFghIubNnC3o8Oz3WJt7LNZDMeD3p4VEhxsNFNTnWVGX13hsSuPm52wwA3H6MWpWvBmLxmdF04esGcjbaCA1vF5u/+AnAB452MJdB1MR57Woiwa108Pva6Ul26ov52Ar8FmxWKFFl2/nrlA0EFFtCGUiHfPtxhiPhDDjcFEp+r25EB8s3uFam1bqfZ5vhV6AEfkDaPaVEXRzuKgUt72/Ar/mFfALOMCw6zJHo2EQVjzyWTl+qozbrp29gaImsHP6CSUA9CZ0WYmKg21ISzFuUFd0aVkXf7/uHFv1ZXZsTlIU7vfGiWZFgbP77fcHOxJWCKKa8H8/bMWWg0V48btNUeuT5xhryLOiFnhsLsivfP87lm0/4nh8XEyigcJmIJ0pS7ufkGQ3EgVX7DjKLS+dFC6K8XBmPXniW6JER7MS6uGm81vi64cvQfN6NWzVl3ECVhT+98bJ1dm9JWGfFQd9RRMSVgiimqBPcx8NeAKHIc+KhGZFxPGT5Q5HJkZvbpEyA3nks6JmybbDqj7k6kQjGiiEWTehj/jdO3sgIzUJA7s0i7i/aPmsRCoPyQhUiqLw75+VZsXNdPs+l1ZIWCESGr/nDkh0+A62es0Kv7y6ajR3htW7zfByvxiFFW+igUTY8VmJWrp9M2Hl9KLb/9ym+O35/hh4XuTCigJvI23C/UTYhYxAISpiVZN3Xjn9nyzhjQx9rlshYYUgCOdYzIm86c8QyaJaDYK2NRTuT7D6FPJ8nxVdHcZ/7RXySeGitwiZ9aL+mqQkJ7kieiYlRUlYiXC0MpqVymgg+5+T0MHW1pApdJkgiDhEdtdgwOFGhgafFXX5qtd+yWCrJiSkGJLCaep7P275jQyZ9D5CTqkyI0jYgUJvXZAxkhQlOnlWbHZRI1UbLSStWeHcPqtPmetga9tnxV75WEHCCkEQYXYdLkbn5+dg7PfuOOHKJYWrei1MriaYUL2QC/RiCC/SR78wO4y4dowtnxWPR8R0//IwLqrurJDR0azYQz8mnmYlq0FNXScOM9jaPG4GaVYIIob4/PfnO8bP24KS8iDeXehOeDN3I0OzWdGjEGA76Pf54Wew1dVRC1lRcFqR38jQLz4r5u+dkBSldPt2U9rri+uFl3YNaxl8dpIUQT8WHx6vjl2NZFW6fX/PliSsEAmN358W/Ibbt0vGZ0VjBlK9joajKg+9lkTjR3P6jf4atL42Hg4uNC7JL/beY6fw086j1gUjgL9ZgqgM/72jfqOUbt9uD/ox8cxA+u9IkqLggjZnoEfWGfbGxhlcIMhsCYNhB1ufz5UkrBBENUFmMhKV2XW4GG/9sBUFp7ShwvyHQcZ9HcJsbyC1VkJdLppmdbNIn9BLw3U52GQwkrUhVoKcGTLRQKL3TkhSFKRIJFyLFLtDNZqBtOf1EWZApWYlJTkJnz/YG0/06yDdF09YqxRWbEQDxUkO25RYD4AgCP8gWm+ufWsxTpYFsP1QkWUbVloGec1KbFbkx2esD7/Wp9sXm4FUr30UDRQNZHxWPNGsAEhN8V80kL60PoMt42yBINPHXb2y8N/lu037AuwLsqRZIQjCV0TyMHuyLAAA+GmHtUmBl/FVTUB3SONgKwgBjmbEgjrRXP6JEpw6fe1A1fXoI5q8SrcvIlaCHI+Q8BltnxVFUZAaDacVmxh9VoxlDJt5StyP564/F7OHX4phl50ZPibSrNghPvQqpFkhEhy/O41FEzkzkHkhmfupDT82njdksNV4PZgLOsbxeMudk1Zq3oeGbtzIUBDFZEYEg/dTssOy0yuv2XfDaAaKvF9FAdKiIKzYH6vODMT1WdGbgfidqEslJSno2DQTSco+TVf3/6Edlm8/Et4fq17NVLsDPt2Xf75TPEhYIQgPCAQZnvxsPbq3qoc7e7WJ9XCksZquDPncOM9l2iy01j4rgq2BfKU9CFFWEcTGfYUGgSva4/aTz0r56W0cbKRZccVPIkmgWVEUd00adkeqlzv0gkil07ZOWLEhc6mbUxTgb9d2AgAs234YJeUBNKydbtPBNj6SwpGwQhAeMG/TQcxck4eZa/J8I6xITWAWE5bZhHa0uAwrdhxBn7Maho/JhC6rh1WhSsyiXpD95AR47VuLDcfUY43GnO8nQa4iZAYyKeNFmhUFQFoKR1iRGIut22c3yZruvV6zwhjvNyDQrHDGqS6rFoR6n9nQWNgG/vlG8SFhhSA8oKikItZDMCBlBrKYsszMDze/swzbDxVjSJ+2pn2aJYVT2/L9ZOqwQpuiv5ppVkJmIJPr1i/GbqXbT9WH2qByATcT5lKSFJTrHadMsO1gq/dZ4eZCMa8j2744KZyNaKCwg62PvlQc/OedRBAu4vPfn++wul9mi8D2Q8UAgG9+qbKp8x1sxU+VavOKnxZkSwSOwd5155+bUyaxm7d+vG6ELoscbK2atpubxXb6ep2gwMuzYgxdthNq7KyesL2QsBJxS97iSFiZMGEC2rZti4yMDPTo0QOLFxvVompKS0sxevRoZGVlIT09HWeeeSYmT57saMAEYQc//gBzj5zE7iPFUe9XZl6zFlas21RPxEeLy/DanN+x83DV9RocbNWaFUEkkd/3LwmNdOpPu/HJz3sk6zj/dvpJCK8IMuw6XIwKE22FfryuhS7zhBWL1nkLvJuOulaaFQZm0C6KHWx5diCF99J0DGb4ycRqhm0z0PTp0zF8+HBMmDABffr0wbvvvosBAwZg48aNaN26NbfOoEGDcPDgQUyaNAlnnXUW8vPzUVHhPzU5QbiFaLIorQjgD6/9CAD4/Z/XIEO36ZmXuGEGMvM3qSpT9XrLwSJsOViE7KW7sGHMNQCqfBzCbWjMQGpzisR4fbJqh8Yx+ovfpOtEojmKRkp/WVbvPoa+ry8wLROJ2UNEZbp9Y0NWbfPqpCYrUEWoR4TBZ0Vnqqr0WdHVsSVcWNdzcnt98lMSYltYGTduHIYOHYp7770XADB+/HjMmTMHEydOxNixYw3lZ8+ejYULF2LHjh2oX78+AKBNmzaRjZog4hS1L8uJkoqoCiuuIDGh8Uw/xadXgg37CrD32CnNOfWTnV6QqSrjb5zIDnbzYUTaX2yRcyi1g1OtAk9YSUtJCn9HDe1xjj3wh3Z4dxF//yy9iYvrs2LQrAgGy21fPTY376O/v1S2dF9lZWVYvXo1+vXrpzner18/LFu2jFvn66+/Rs+ePfHqq6+iRYsW6NChA5544gmcOnWKWx6oNBsVFhZq/gjCCX5+Woi234E7ZiDrMZs99Q98a4nhmFazYu3/4Eei/T3zUzSQDF5pVnhYLeB8zYo9M9CT/c+WLqvvjhsN5DA9vhubToea8PtXypZm5fDhwwgEAmjSpInmeJMmTXDgwAFunR07dmDJkiXIyMjAF198gcOHD+Ohhx7C0aNHhX4rY8eOxQsvvGBnaAThK8RPff7WEcjkWbGa1OzMeSXlASzeejj83szvwc9EW/D0i/lLFhnzoV2EkTAOHGztCitmjq36nCn6dPsAfyNDWbR5VgQCm5M8K/JVYoIjryL9DWJMvHFSMBiEoiiYOnUqLrzwQlx77bUYN24csrOzhdqVUaNGoaCgIPy3Z4+cwxpBxBU+nB3salZ4v3s76+hrczZr3heV8n3ZfC/kRV2zEt3+IsWgbXMlgy2/EauFnyeXpHPytZj3bdK+3gyka7rFGTUiEt4UwWttGfvRRX6Xf219Qg0bNkRycrJBi5Kfn2/QtoRo1qwZWrRogbp164aPderUCYwx7N27l1snPT0dmZmZmj+CiCdEk4XsFLL7SDH2HD3p3oCkscizAuunNjsmigWb8zXvl20/Il23OhNvZiBjNJCHPisW9Xg+JGaaFZ5QZCY864Ul9fu2DWth3KCuaHlGTW0ZQffcpHAK/7Vj/P0cEMaWsJKWloYePXogJydHczwnJwe9e/fm1unTpw/27duHoqKq3Vq3bNmCpKQktGzZ0sGQCcIO/prUNZv2CcqcKgvgstcW4NJXf8TkJTujMq7wmCwz2Er4rERxIfXLpxtts0zcaVYMGrnI2xRqUKwcbDmJ5Nzcvdm4kWHVgfcH90DLM2rikSvO0mTfFQk/fGFF4b42G4MMfjct2jYDjRw5Eh988AEmT56MTZs2YcSIEcjNzcWwYcMAVJpwBg8eHC5/2223oUGDBrjnnnuwceNGLFq0CE8++SSGDBmCGjVquHclBMEhVr8/8TxadUI0tmMny8Kvx3y7EWUVQew6HJ28LDI+K1Z4sZCK5l6/zK/RFh78vrDo0Y/WFYVAlDQrdtE78Krfh4SLWukpeO3PXcLH1YKXXuviNWEzUFR7tY/t0OVbbrkFR44cwZgxY7B//3507twZs2bNQlZWFgBg//79yM3NDZevXbs2cnJy8Mgjj6Bnz55o0KABBg0ahBdffNG9qyCIOMGJI+at76/A6t3H8OE9F+Dysxt7MKoqrBZBqZ2QPVhI1S360X0l2g628WYGiiT6RYQoEoaXMdbqvLkZyNawTM1A6tdqPxl1jf/XtTl2HCpCzzb18du+AmzcX4h2DWs5Ho8VCb2R4UMPPYSHHnqIey47O9twrGPHjgbTEUFUR9QTguwCt3r3MQDApz/v8VxYsUImE6nXWgbGgGkrc3FDtxbedmSDaE/0n67i+/v5lUhCl++4uDUCwcrPXNuGM78wnmbFLIOt3c/WkGdFJRyp+1abgTQCTZKCkf0qQ6N7n9kAHRrXQY+sM6ral9BL2QuFrsRPWzjwoI0MiYQmdmYggQ06ojarXm/YV4DyAEO3VvUiaNGIG7fLi6d+/d0cNfNXjJr5q+v9OMXf07wPiCAY6PaLslC/VppRWBGUt1qoRUnh3ELfvNYMpOozuSohpEgZlJKchKvO4QevuIVSJa34GtrIMI7Yd/xU1HwX/MzmAycwbWWur1KOy6I2kTh9YqsIBDHwrSW44T9LUVhS7ubwXBHu/K5O9oLqeM12iMTBVlH4gklIG/H0NR215S3aS+E52HKOOUUvDKmvVW2CUvdpSxPithkICZxnhYgNvV+Zj76vL0DBKXcXqHij//hFGDXzV8xcmxfrodgmIs3K6X/LAlVZXo8Xuyys2K0QLf8RH/qpaPH7VB9bjHfHXsZWfvhw5b8P9j0TF7aprzpuoVmxHbosOVBB/2oTj8gM5HRvIBF/Pr8lGtZOw809EifiloSVOEH9RL6/QLxVQXXiiRnrcfM7y2KUj8QcmegVu8tbEscRLjTJfbB4By577Uf8llcg1Dh5sTGg72WIKBGnuwREjYg1K5zySQ4Xfp6DrZu7LuubVwTnRD4r1u1bl61bMxU//e0qvHZzV0wZciEeu7K9sGyoOb9rB0lYiRPUX6RTZQGUB2h2BICfdx3DMzN/EZ73m9OYejx2zVihiU498Ycmmhe/24TdR07iuv9bgmEfrY54nGb4fVIzw6uQX799z/yGjGO2CAXWC7TGpGLRnhvp9u20r36v1rqka4QV+fZl5ZqQOeoPHRphxNUdLMv7/TtMDrZxgvprdOOEZWiSmY6f/nZVzMbjJw6fKBOe88PCqtmOIoLxhNpQP8XzJt65Gw8K6lv34Yf7xcMtDY5X1+fX++Y1yUmKo92j7fpomPmsAPY0KzwH24xUF/OsmAxA3bfawTaW20lce14zdG99BppmZsRsDDKQsBIn6J8IDxaWxmgk/sOPeTc0mWqZStUK7XEnbQY4mhUZpMxAEtKUH++3LF7JFNVUVkFqskNhxWZpnlCuPqTWjFjuDcQ5f8fFWVi09TB2cgIY7H7d9c2rf1MiM1Asf1OPmpiI/ASZgeKE6joZyuD7Te7Ur1Vv7Ib4hrz2nSwOhjG5pArw+73X45kZKA5/oGv+fnXEbTj19bDrs8KTGLRhwPwEazx4mpU6Gan48Ym+rjik6oUlrY8ZXxtkh3j7zbkFCStxQjxOhtHC7Kcbq9umTtykFkrUT1n2HWwr/1ULK3a+F+o57nAR33Tm1++ZWxO0d5oVn944E9wI13UzP4mISp8V8zJqzYrVd4XnYOuClVbVvva9uk2RZqUiIN9z9RRVSFiJG8wmw3jbJ8Rt/P6goYkAikSzwjED2WlB3d0FL83DU5+tNzj5JvpXiXxWqrBa1BvWTkf7xrWRYiIpOHVMLbezOCv80GX1PbezESFPRgvnReNuHCjdNAAbmpVktbAiHzDh9/nOK8hnJU4QTYbj523BjFV78cVfe6NxHX87SHmF2Y/3s9V7UVYRxPhbulnuGeLVmETaFLsLXGgSVAsYkSTG+3TVXpQHGFrXrxmOFohHDYEdvLq+RHxgGNSzJZ66piNOllXg8zV5yEhJwpOfaSPvnGpWbC3OsNasaLLBWgwp2aSA0+/HfZe2xfuLd1b2bzIhqc+oNVvlNn7H1VRWIc1KPMMYw/h5W5F3/BQm/Lg91sOJGVZ7ZXy9fh8Wbj0UpdFUoh6RVrPCuK/ViKatsGbFoYDCm0O/WJuHf/+wFbd/sAKPfbIWOw75M0Oy358m41FUkQ3xrZmWgjsvzkLTusaHIaealQo7i7PC/42LNCtW8wF3yGHVivSwwqSnJKF5vRrh90kKcHfvNlVNC4aj1rKUV9jRrPj8x+ARpFmJE3jrmmgRJIycLA3ErG+RGUj0iYk+y9AkpTYD2TElmRVduu2IdDvaMTmqFjPIDFSF7cysHCHAzERkhp08UZUZbI3H1VoQjYOtg9DlSFLOVwSZ5s4kJyn4+3XnIHvZLgBAs7oZuKpTY2SkJqNWOn/JrbCRVTDefnNuQcJKnMBTT8bh/OgJMvNltM0b6glFJFCIFjjR8VCTQYcOtnYZNfMX3HJBa9c3S3SC3+fnI8WlcZWoMUmgrVAT0H25rLLImpGZoV1qbDmUKvx+NJoVG9FAZmPmPyhY3Kcg02g7FEUxzEkf3HWBaRtnNa5tel5+NIkLCStxAl+zQuIKAKlHjVjeKrdCl5Mi1KzYfSKbtnIPpq3cg+WjrrBX0ce49T14/OoO2HSgEI3rZCB72S4s3XYEf3x7qTuNR4FKp1XzMnpzI688b1NAPW0b1sKQS9pqjtnRJIj6VmMndT1XsxJhNJC6ySRFa6ox+8798PhlOFhYgrMa15HvrJqqVkhYiRN433fRbyAYZFF1Jo01MlcaS7FO46cCa62IULNy+kLVT6VOo4HssPuIdu8lTXSDrf5jL1y7pWF75HQirf+eVvUDwMb9ha60HQ1kPjeDsMKpJaNZ+fGJvoZjDWqnS4zgdL8CzYoaje+MxZC4CeZO/+v4K6pq084+P2c2qo0zG8lrVYDqq1khB9s4gfcEzfthzdt4EF1fmIscQcr1REQujbx4Flq05RA+WZnr4ogA9ZQi8iUUmocEC2o4GkjCSddNTKMbbEzM+vsQiwdEt29XvD7kJrmkWXH6TNQz6ww8fU1HvHdnD7RQOafyUBQrgxWQFuHeQCEcyyrq9j1+UGzbsJan7fsV0qzECbxJlrfY3TtlFQDgvimrsGnMNaiRlmwok2hIaVZMZqHBk1cCAM5rWRfnNq/rzqA0ncuNw6oMLxrITmCQ04VVHz2hbudosXhfJj161b8dwcEtGcNt0c7sll59ThNc2bExnpn5q8u9Ro4owkaN/vPileaZVOT6V/Bg3zMBAJe0b4i5Gw6itCKAF7/bhBMlFYZ+uQ62Ap8VK80Gb8ghodup8J/kULPihN5nNsCLN3TG2U1tmI4SANKsxAsOfkPdxsx1fxw+RObpXkb9f7CwBC/P2oSXZ21CSbl70UOiPCtizQofvmbFxjgcrtRuhUradFPwBNc1USb35tYLW+EvF7Z2tz+XUBRr4dWoWXFmBrKiZloKbujeArdcwL9XimL9HUy1EQ1kagYyrypE3aReGHLbuV9RFNxxcRYuaFPf1Xb9DmlW4gRuNJDFb6DURux+PCMVDSQxXxw+UYb3Fu0AAPz4ez5evKEzLmrXwNGYtNFA6nHI+KwIQpdP/6sOOrHrpOsEt54UeU6VsqP3gbsLF7PvnrXxInYoEqOTMQM51azYQTTSFmdUmY80mwJaXJlp0jinAr26/Xi1Dfoc0qzECdxoIApeBmCcnHiLvcxiV6aSArbmF+GW91ZEPDb9eDSRQaLyguMhW7jTvYGcfl/cWo+4yewkh+SWRsR9M5CZP4/LnbmIPmKFhz5xm5tmICGcD0g/zAf7nok5w/+A+rXSwsfsaFZ4110VDeR/M5BTfDosaUhYiRO40UAkq1SiV7s6XBNFC+LirYfw/qIdOFlWwT3Pb6vqtVazoj5uL/9KOM+Kw9Blp5n53Zp81+Qec6WdSIimg63sffvnH891aTTyyJj29Fs5eGUGskLfQ6szahr8NdRCk+VGhjyflVBSOAlhyWqQBjMQzdOuQGagOIGrLYjBOPyInIOt9d0SLeZPf/YL9hWUYP3e43j7tvMlR8UPV9YcFw7JXFpxmm7fqclI//TsdPIdkr3KcCzq32G3hRWzc5LruGivmsvPboRzmmfiPx5spaHA+ndj0KzEyAxkeBjhfIjqTLpWI2pQSxw27divS/Xar5qVeIc0K3ECX7NC4gpgnETt5KRRIxIC9hWUAAA2Oc2jIdCsCPcGEgw2nBROEw3kfUiN/v46FZZ4RPs77L6zo/ic7KIl2l7njouz8GT/jg5GZY0jB1tOmShYgaR8f5I0mhV+mb9efib6n9sE9/+hHa+T0/27YAaiVdUT6LbGCU5NG2pKygP4fPVeHDpR6sqY/IKcz4pIMJBf+HmLjyjFutAMBP5rSByvcrB1FrrsljOum069suN3LXTZdc2Kic+KZBsizQpv0d059loM6tlSsmUxlRlsbfqsODADuSHMyMh8yYq5sHJh2/p4sn9HvHtnT9RKT8HXD/fhmt94GzOKuk8RCEj6e0LPlO5Awkqc4CQaSM/X6/bh8RnrccFL8wz26ETCjn9PUCNUmN8T/ST40ncb0fHvs7Et/4TpGERZa0WfgaVmxWFSOKcfub4LOzvmuoZLXbruYGsWDRShZoUnCCmKgr5nN5Zq1wyZoRl8VjhlrMxAKQ53ZbbqV49a3jMLTQ7RpWU9/KFDo6rzpws8M6Aj2jSoieeuPyd8rnGmcbdpQLvVgJmwQrgD+azECw5tG4xVbbJ1qKhKo3KgsESzrXk8I6O6FZVQayms9qHTLx7vL94JAPjbF7+hdnoKureqh/sva4f0lGQTzQo/Mkg7VkHo8unug1HWrDBW+YQc6stVM1Cce16ZCSSyWgWRZkXcbuSLYagNRRELxzI+K1bZWlNtqlZ4wrf+HvPGq9GscNq1jBA6/W/LM2piwZOXAwA6t6iLgpPlwgy7KUlJAConDW00kHlfsUJBfPs5krASJ/BlFYlFmlX9UNVqy3j90sqEJfM3feS3ZyeyRjThrdx5FAAw//d8rNp9DI9d1V6TU0SUW8Xu3kAhtLvhyn+STj9zBoYkRQnfH3d9VlxrSrI/l31WzM7JalZE5QSHZRfDu3u3wa0XtsbX6/OwPb8YszccMDRttoDpfw88TY9w7KdxQ7Mic70aDQ9nTE4+dquka0P6tMFb87fhyo5aTZdegIvXudZvkLASJ/DT7UvUE5SPV+dc3kKpP8I1mQmmDDv77MgsPgu3HMLCLYfQsHZVDgiRgGLXwTZ03KnPitPPXC3w6vuPFNkhueaz4lI7IcwdbOXaEJlSRNVlI3DOqJmGs5vWwZNNK510t+WfwFXjFlW2HdLSmdwQ9YaZ6jp2xpIqsSuzFbYdbDnnrT53J1maH72yPXqf1RBdW9bDvE1Ve7HpNV9u3AOCfFbiBr7PioxmRW124D/hxxPcyTUizUrVa2szkDyHi6r2zFm09VDVOCIwA4UEK6fp9t1Kd++msBJtoplnRT50WSCsCBpwagY6q3FVbhInizN/I0PzduyGNnM/HpsOtk7MME7uaEpyEi5u1wA10pK56fYf7HsmemadgWs6N3XQOqGHNCtxguNEZ4I24ldYkdeaaMvw0fisODQDWTH6i9/w694C/L9uzZGZkRo+bjcpXOiw+onXjh+KU/+QIGMaoS4WDrbuZbB1d+xu7EidYlOz4sauvvoWLmhzBj6850Js3FeIQe8uBwCM0UXL8DQcVkNJcSGOVyY1gWVSOI+/sup7E/pOPH2NN2Hn1RVH36QJEyagbdu2yMjIQI8ePbB48WKpekuXLkVKSgq6devmpNtqDVehIOVgq37N17LEE3a0JtoyIsFA3gwUiWPjJz/vwW3v/4R7sn9W9WevDZ5mJRoZbBmzF+Jtr+1oO61EryvZ74tI+BBVl5VVzH7j+rbrZKSidnoKLmxbH7teGYidY69F+yZ1TOsAMtFA7gtWvB9Oso2kcNw+Ihym+ja4IUwSRmwLK9OnT8fw4cMxevRorF27FpdeeikGDBiA3Nxc03oFBQUYPHgwrrzySseDrc7wM9haz7wik0FiaVZ0720INFYJ1tT33Y2IRHWOm9fmbEbBqXJOn4LKYZ8V4zEZHPusQCvo6H0ZIiHaX0P3fVZMNCuSbYg0KyKsnFpDmH3cei2Jfgxm++eosVqY7V4bP929dRtazQqnXYtPPtJNJ812XfYLbu2eHitsCyvjxo3D0KFDce+996JTp04YP348WrVqhYkTJ5rWe+CBB3DbbbehV69eln2UlpaisLBQ81fd4U48NmderbMtv/LzX2/AoHeXo8LKgSNGWAkUgD3/HivzhvqQ2z/1X/MK0PWFuYbjVj4rAY2WQ74/pwKq/p67q1mRLOdSf9+s3+e4Lm+uN/tOSGtWBOVEC6jsk7vZPdM3wUuGJjMeK8FJpl3rfq1R30Peouz9w5nRDOQ3/DkqeWx9k8rKyrB69Wr069dPc7xfv35YtmyZsN6HH36I7du347nnnpPqZ+zYsahbt274r1WrVnaGmZA49llRFdJoWQTls5ftwsqdR7Fk22Fb44sWTjfuFZVR3xOexiCo0ax493M/VRbAhAXbkLPxoNCBNTQUdZ4VO+Y8p0KGPjlYTJLCucSL321yXJebbMwFB1uRqUTkQ+XGYqj/Lss4wjoxA710Y2db45Lt12wcsTYDxbsGw6/YcrA9fPgwAoEAmjRpojnepEkTHDhwgFtn69ateOaZZ7B48WKkpMh1N2rUKIwcOTL8vrCwsNoLLE4z2IoigKzquvn07CZe5lnhaZPUgoOXc9D83/Px6uzNpmV4SdnsJYVzMjJj9E8ssh/74euYrCgI6H6Hpun2Jb8vIuEjIAjfklZWmNw0fZcyviW8EvqxZ6QmoaS8cty/PN9P41AuA2+eM2ynwalnlW7f66+PWkCRNdNFm+b1aiD36MlYD8MxjqKBjBkFGVeaDAQCuO222/DCCy+gQ4cO0u2np6cjPV28M2Z1hK9ZkfFZUZdXt+eD2d8BMpoVOxYzdXvlXDOQSlixHJ1zissqLMuEPm87uWG09Z2hf8J3U7Miqxnyg0M4P3RXXF5WAyLy6xD5Bsk+uZvdMYOw4lCzoq+mvuY0F0xAon4N41B1Fan/iRPUPfrVZ2Xy3T0x5ttNeOzKs2I9FEfY+jY1bNgQycnJBi1Kfn6+QdsCACdOnMCqVavw8MMPIyUlBSkpKRgzZgzWr1+PlJQUzJ8/P7LRVyO4C7CMZkWwsNmZ+vOOn8KXa/N84cfCNZHofVYk/FpCqLUEvOvT+Kx4+MQko60IXYJaWLAjczoVUPUP+PGcwZbHA5dxduHlwPVZccEMJBJqREKhGw62+j5lMs3yvv96M1Cs/DXU43ASLR2xGUi9N5FPpZWzGtfBlCEXokeWeWZev2JLs5KWloYePXogJycHN954Y/h4Tk4O/vjHPxrKZ2Zm4tdff9UcmzBhAubPn4/PPvsMbdu2dTjs6gc/GkiinqYN/msr+r72I8oDDEeLyzDkkth+Zo7vg5QZyFhIvTB7OQdZ5XgBgPwTJbj3v6tQqIogshe67EwyMGpW3BNaZUfkB6GGvxCLvxSyC7eiaPdeCiEUVjzIs2I3aieEfmGOdNHnRwNp37dpUMtQRuuzwnOw9fYLpO7Tp1aguMe2GWjkyJG488470bNnT/Tq1QvvvfcecnNzMWzYMACV/iZ5eXmYMmUKkpKS0Lmz1sGqcePGyMjIMBwnzOH91Ow8jVe2ofZ1kP/xlp9exJduOxxzYYV3yfpr4ZuB+NerFkZ4ZiBN6LJH6mXGmNRnOetXo1/Y2tzj0rvwOo4G0o0tFgo2T5caycZtO9jaGIJ676UQIp8V2cXQPM+KfQdbHnotjzYqx1GTBkK/u8+G9cKmAydwafuGluOIOqruYz6WBMW2sHLLLbfgyJEjGDNmDPbv34/OnTtj1qxZyMrKAgDs37/fMucKYR+nC402mZd8e354kuXBD102fy86Vtle1Wve4qAxeXg0BwWZc9PK2z9uw9s/bpPsx6FmRe9gG4PQZS+RvR67ocuyZkNFOa2h0EddCXxWZAUL0zwrDkKXeeg1K5qoGJd+MKGx9mxTHz0Fmwuq7wkDQ/1aaThaXKY6Zk6k30PtrsskrHiBo2/oQw89hF27dqG0tBSrV6/GH/7wh/C57OxsLFiwQFj3+eefx7p165x0W82xXqS5tQQCSqQOi2/mbMGYbzZG1IYTZIQV3qWJHWxVmhVu6LKNwTkkEGRwMc8aAL7a23E0kN4M5KpqRXJQHn4OsgsVX7MSeTSQAoVrYhQJsLKLoamDre69jBmId5/c1qzwxiyVZ0U1/uSkJHx830Xoe3Yj+wNwiHqMJKt4A21kGCc4jQbS+Ky4tJFhMMjw7x+2YvLSndgT5VA4N/LNqLEKXQ5qJTxPCEqagezQ48V5GDl9HRZszq8SXFwyA7k5VD9oVmSHwFvPzdZ4WXOAovDLinxWvMizIuNgy0NfzQsndKkMtprQYaBj00xk33Nh+Bjve1Y7vcqwEKkfkHqIbvgUEUZoI8M4geuHIaVZ4QsoEQkrqsplUXZgcJzBVsJnhZ/BVnX/PJJWKjUr7rZ9tLgMM9fmYebaPNRITcagni2xbu9xZ+Pz0MHWD0SmWRGXl120Kh1sOakfhMKKVLMW0UDa93IOtsYG9YKE1gzkDjLtJGs0K3I9N6idjvG3dEN6SlLEmXbJDOQ9JKzECU41Clo/FfmF1+z3FsuHYZmnejs+K+rj5RZJ4bwyCQUYczUcWM+p8gD+u3y34/r6sbkauixdzrv7I++zwhFWHCSFS05StMkGoXDDXXnfx1B9GUwdbPV7AznccNAsdNmRloUzZKk8K4q5sCK6Ezd0byE5MHPiIc9KvENmoDjBzn43onra1PucspKTttXknl9Y4lmWU95CaXCw5dQTXZtGs8LzWVGtF16FPwaD7puB3ET/ebuaFM4PdiBJuIuQycIkesLWL6ah0OUQ9WulAQD6ndPUVrsGbDjYOg1dNvqsOGrGFLsbGXKFOa9DlyMV0ghLSLMSJzjVrEAgoMikrbczlhDzfz+IIdmrcH3X5vi/W7vLNWgDp7tPy/is8EKXAxptlDd4YQZyE/0DvptDldas+OD22I0GEmlA+L4vVQe/f+xSpCYnhYUWQ1k38qzofVacZFLjjEWzaDtq0Rmx3ptH3WWqQy0VYQ4JK3GCHdOGpozmtfnC68bC8fb8yjDab9bvw+Kth3Blxyb4x/XnoG4Ne3uEiJBIYGsrcZxm12ULM5BXC2bAAwdbN/FybH4QQmS1O25FA+lNMPpi6SlJqFeTL6gA7uTxMEQDOTUD6app0t47sgI5+0JY7c3j9ddM3WNaChksvIDuapzA/xHb0yhoX5s7k5ohW+74yXJ8vmYvLnllvmvqfq6DrcV7UT39casMtt6ZgeQy2HpN37MboWFt4yL51Oe/xGA00UNWFuMJK06igfR19MWsNAPSDrZmbehmfhnNCjd0Wa9Z0WRyjY2GwalJKxLUGqZInXUJPnRX4wSnmhXRpndO2wMs8jdwJqgTpRUIssr+i0utN+wzQyoaiDNA0YKk1hqUc6Jc1JEvnpmBGItJVlg9fTs0wtwRl0W1T1nB10tRTvZpnm8GEi+MIt8S43HteysHWp4Z6NtHLsH65/ph/uNVn5+ZcG1wsHUp3b4fnEt598frZwGNZoWEFU+guxrHyPz+mMTrEG5rVjTjYAwjP12Pc5+bg4emrsbxk2XWlbjtcI5J9s8jYEuzUnXcTdNIMMhczQrrlOTkpKjvVyt7H710xPUqdFnoCGuhWbFa8HkaG0UB6tZIRbtGtU3r/vXyMwEAzw7spDleJ8PaI4B3m/TXGGnYrhsfM98M5LWDbdVrMgN5A/msxAm8xUxmgRNpU6wWCbOmmQMtQJABX6zNA1C5x83+ghJ88VAfB+1YSyu8iUkUbqtuztJnRdWum2YbL5LCOSFZUSz9DGqnp6AoQu2YGj+Yv2RHwBMizG6XyLKiX9D1bVgt+Fyhibt5n7Huk/074pEr2iMjNRkA8NQ1Z2Nd7nFcfU4T0z5F6AUDPwTCJMfAwVWtUSZhxRtIWIkTHDvYqv1ULBxs5VXy9hcYfdtrc48DABZvPQTGgD90kEuNzXWwtTwgNgNZJYXT5FlRyTJuakL8Eg2UkqRY5g3p3roeFm897FqfsvnlPDUDReBg6yR02cpHxaoeTwjiVRFdVUhQAYCH+p4lKCWH0QwUe2klFhsJqntMJ2HFE0hYiRO47rU2hRWrjQxl10s7GyKalSspD+DOSSsBABe1rY8Xb+iMsxrXNnXMk9Ew8e+VhIMtR1ip0GhWVPVc9DHxi2ZFJiRW5E8xY1gv7D12EiOmr7fVpx/MX9JDsAg5lj1npVmx9FmRNEe5fWvbNaxlOKb3dYnYDBRR7Upike5ePWeRg6030F2NExznFxEkhYskGsjsSVRGKAhxqiwQfv3TzqO4+s1FmLFqr+lGebxFXWbYIjOQdiNDq9BllZbFVc2KP8whKUmKZXIMkSNmkqLgvBZ1bffJExCjndMrIp8Vs/JCM5CuDbs+K5wCbu1wbEZKchLevq0qd9KiJy/HBW3razQJ9Wq6k6IgEnifk9c/L/VHQmYgb6C7Gie4oVmBhRlI9vccFLRpOg7Jtv/+1W/oNiYH14xfhLW5xyz6DrUdSTRQ1Ws7DrZuCheBoD+igZKSzH1WFIifWkX724R47Mr28uOIshpf1qzJ9VlxoFnRiziGvCsiM1D4PG8cxmNeOJWqTSytG9REi3o18IMqAqltw1p47vpz8OYtXV3vW5ZYKDbUnyFFA3kD3dU4wenaKDJdcM1Asv4DGg2D9pxoopXVRJRWBFFUWoHfD5wIJ5izaseYbl9ea6Q1A8k72LoaDeQTM1Clz4o5QmEF5rk6zrDxxB11YcWjaCCneVas4EYDccp5oU3gC0pVB5OSFNzTpy1u7N7SUftuRH3FJHSZNCueQ3c1bnBm/hDtGsxPrlZ1THYjQ2mfFQeag9IKYyUpYYXrjyNjBrLwWRH4/0SKXxxskxTFVFPAACQLBBJFUUyjMFItJvAn+5+tast8nG4j7bJi0wwkuo5IhTGuGShq98zYkXo4kTq3/u3aypBqWYd7HrHIYKuGhBVvIAfbOIFv2pDwWRE4wzo1K+n7NTi32vBZsepOX6esIognPrXnwBlCJAxYCR0BQVI4N3ce9ku6/WQZzYpJ6hCzhcrK6VCtOvevZsV4zNRsJh0NJNd/qD1+u7GLwlF/ayL1bb330nbof25TtDyjBqat3IMmmem224hFBlv1d4jMQN5AwkqcwJtP5UwrfJNNZA62Dupw2zGvq2970/5C7CsosWyHf6/4fVgJHWrNipmQFgmM+UOzkiLlsyLSrJhHYVht7qauG33Nity9tzKByGKIBpJsw64Wx4tEelb+Mm5sstiqfk0AwG0XtXZUv3vWGYZjXu/uXaZyOiPNijeQsBIn2HEaFdUTRQZVnTfvr6pfcTt2fFasxq8/z/MpAYzCCX9HaXmNjxqNMONASJMhEHRXU+OUJIs8K4D4qVWBYvpEa6VZUW+kJ7PcDb+qPa7p3BTXjF8sUdqcSD5KN+Qqr9qI1jdK3XcscpyE+PGJvth84AT6RmBCcoo6gpE0K95AdzVOcKoJEQXuWDmhmq2dItNS5XsbZiCL8evPi8bEGDB3wwH0eWU+Vu8+yl18ZEKXeWgdbK3bc0LAJ+n2ZdTnoidnRTHPHGolrKg1KzJ3IiM1GVn1tXk/+p6tXaTaNKgp0ZL8UzdPkHOkWdHdCjfW90jMuhGj9lmJ4eZAbRvWwjWdm8ZkA0W1BjaFhBVPoLsaJ/DmHZkFU2S64E5kFmYiXl0npqOquuZ19OdFfh0MDPf/bzXyjp/CnyYux6Wv/ijdl1VyN62DrepeupwUzheaFYt0+wzmAo3ZU7XV06ZdP4MkxbjIJysKOrfIDL//8q9y2znIO9hyjknWVWNMChf54uo0D5Nd+N4y2mggP+K14Fbmh9wDCQ4JK3GCKw62mrq89szP8/rVF7NjBrKaTPV1zDQrVojulZWviCbdvmdmIH/kWUmR2FPFLM+K2VO1VdtqXxiZ5S5JUTi+H7oxSbT0yk3nYUiftgCAC9oYfR207XGOOVib9VXkHWzF56KlReH9vt2MBopXaqWRR4XX0B2OE3gLu92kcFYZbLV9iBt34mjqhmZFpO2RcjM+XaisIojfDxSiU7NMpCYnWZoAorGRYYD5wwxkpVmpdLB15rNitYjZ1awoisKJPDFIK5Zc2akJGtVJx7p/XA3GgO7/zBGW5WkNnGhF9Au+Gx99tBRzfIHNvWggr/B61+UL2pyBu3u3wVmNzXe9JpxDwkq84FSzIsitwqspq1nROuJqC9rxWbHe+Vl7XiQgyEz2IaHjle9/x+SlOwEAt17YGpkZ5j8BteOcxvzlZlK4oD/MQFYbGYbK8LDSrFj5Edj1dUji9Fe5W4Bdoafy33o101Bwsty07Cs3dcHtH/yER6+s2vzPDc2KyHHcWE/cmdOHGTfQjKqaalYURcHz/+/cWA8joSFhJU6wEi6E9QRmIKuIGbOJTl1O1nzBT9RmXkfeDCTvu7NgS3742LSVuZb1opUUzg+alWSL0GXA3ME2pO3g3RsrWcSuZqVyrHphxdwsxEMRvjFydtM6+Hn0lZp+z2pcG51bZOK3vELrzgRIC6om4+PJO158oyxDl30qq/jg50VECPmsxAlu+KxoHWjNy5q1bVbOXuiyhc+KbgIWlbdjBuLt/2M6Bo0ApxbSXNSs+MTBViYpnJVQIUq5b+V4aVezws0ma98KpGlHSrjRFcpITca3j1yKB/ueKaxzTrNM4TnAne+S12YOM7RJ4fwprcT+10VECgkrcYITMwpgzwwk0sIYxyIel9gMxDtmz8FW6LMiIbQ5XRAmL9lV1Y/qeCLmWeFpK3hleIQWLNF5S82KhHOvVXvGzLDWbSqC13Yx88n55IGLcbkqrPqNQV2RkVo19TbJzEDdCHcrdqK5dIJV8ly/alaI+IfMQHGCK2YgC82JNmmcpIOtg80Pq9qxqqMrL+hLZk4Ojdnug9+BwqqMufsLSvBmzhYM6dMW5S6G7wR94mAro92wcpQVRwvZiAaS+JC4mwrC2oxl1k4k+TnMNEeZGanoc1ZD/Lj5EACge+szsOGFa3C0uAzlgSBqpafg7wPPwWtzNuOm81sI22lYK014jv/1ic53Sn3bYpHjhKgekLASJzhNCifayNAqOsfcZ8XeGPRtV7VjT7MiNANJDCHUf6Qywb9/2Ip//7DVMn28HXxjBlIk9gYSXHfouyXWrLgbDcQt7sAMpC4UySdqNXz9dzc5SUGjOlX73lzesTEu79iYW/fj+y7C63M24+WbzhO2n5piHIAnmhXuRob2TGkE4QQSVuIEvtlGxgxUhSBzPLc9Mxu4euLVR+iInqycaFbcdLB1e28Q3g7NTqncddm15hwj42Ar0qyEbq9I6LBazF3xWYHOrCPlg1L1OhJ/Cy99NXqf2RAzH2qoOfbZsF7YdOAE8gtLcLCwBGc3qWOod25zc18ZR/DMb6rXvvVZ8YHmkogMRz4rEyZMQNu2bZGRkYEePXpg8WLx/hwzZ87E1VdfjUaNGiEzMxO9evXCnDlzHA+42mKhCRFWE2hLrIQHp+YdN31W9GcjybPi9kaBaclJqJPujqwfCPpo12WHZp7Q7Y2eZkXwhG9zsbQr3IiwErbcXit7tqmPOy/OwuP9zsarf+6q+dxmPXop/n7dObj1QmcbAZrBz7NS9Zp8VgivsC2sTJ8+HcOHD8fo0aOxdu1aXHrppRgwYAByc/lhoIsWLcLVV1+NWbNmYfXq1bj88stx/fXXY+3atREPvjrB03TImQ744UBWNm5zB1sHPisO8kAYfFZE5W2YgdwiLSUJ9/Rp40pbvjEDSaw0VkKFWYbbSPtWwyuuPyaTc8UtHwurZqL56Z7TPBNDL2kbtT1q1PfZja0DvCD2vy4iUmx/m8eNG4ehQ4fi3nvvRadOnTB+/Hi0atUKEydO5JYfP348nnrqKVxwwQVo3749Xn75ZbRv3x7ffPNNxIOvTrgRuqw1A1loVkwdbKtey5qBeEKN3WigyEKX3Z2ukhT3Frq9x06FE4PF8slUysFWpFkx8VlRFBnNir2piOtgG2GelYg0KxaVE8UK0bRuhuGY1sE2ioOxQ4Lc/+qMLT12WVkZVq9ejWeeeUZzvF+/fli2bJlUG8FgECdOnED9+vWFZUpLS1FaWhp+X1joPOFSouBUWNE6zZprREQ5WYzlxFFD9nZdFvfBqyN2sPUudFlEkoR/hyz/N39b+HVKchLKKmKzUZDMvi7JAqHCzGeFt4+PsV3107k1bm0qqFloI9AKWGtWEmO17Ng0Ey/d2BnNOEIL4F+fFSL+sfU4c/jwYQQCATRp0kRzvEmTJjhw4IBUG2+88QaKi4sxaNAgYZmxY8eibt264b9WrVrZGWZCwg1dVq1pMs6nVrKI7J4/Gs1KBBlso5kUzu3Q4MrIGXcn5iQFaHlGDVfbtIMo0kdTxmLG4GlWeDskm9WT+aS4i6JiX2DRmDAi+DgTRXMiw+0XZeGKjlVrQDz4rFSjjydhcWTUNG7ExaRU4tOmTcPzzz+P6dOno3FjfpgeAIwaNQoFBQXhvz179jgZZkJhFbosenITRgNZaDpkXV/lQ5fNx8/tRa9ZEeVZiYHPSlISbyM9edo2rIXruzYPv3+iXwfMHfEHZNWv6cLonOGGZoUvrFjfK7vuFaI8K5r3NqOBIlln7eYMSiTcylVDEGbYmiIaNmyI5ORkgxYlPz/foG3RM336dAwdOhSffvoprrrqKtOy6enpyMzM1PxVd/ihxvzX4jLmDrZONCvSuy5btGPVj1lfMip2b3xWnNcPMga1IuPMRrVxVuM63EX4iX4dnHdkg0gcbKt8VoxTikyUkSbtveUoJDPYSjnYqtt0/oH6IalfrNCGLsdsGKZQ6HL8Y0tYSUtLQ48ePZCTo91GPScnB7179xbWmzZtGu6++258/PHHGDhwoLORVnOshAthoIzDBd7st60Os41Es2I3KZyouIzWxG2flWTFegE2gzHt4hjKgMpr8vysMxz3YwcZYUWUqdXMZ0Uq2ZzdkGNu6LJ9AdItM5DdHcQTCSUONCuJe/erD7YTRYwcORJ33nknevbsiV69euG9995Dbm4uhg0bBqDShJOXl4cpU6YAqBRUBg8ejH//+9+4+OKLw1qZGjVqoG7dui5eSqJjHr0j1KxoystrVswmV02bHqbbl9Ws2AlddmsujdTBNsiYZuEPLda8yd7uQu4UmX7EmpXTbQiigaw+IrtaDa5mJVIzUESaFfPzCSyrxEVSOCL+se2zcsstt2D8+PEYM2YMunXrhkWLFmHWrFnIysoCAOzfv1+Tc+Xdd99FRUUF/vrXv6JZs2bhv8cee8y9q6gGWDuoiiJl+K/56e+tWjP2K5tszVFSONkMtjbMQG4tGkkROtgyphUOQos8r0W7OUiu6iT2BwtRj7NxntXOyGZjCd1f3vnkJMVU+HWQy00Quqx7L9GOW0ur1e8ggWWV+HCwTeQPoJrgKAXnQw89hIceeoh7Ljs7W/N+wYIFTrogdFhF74iVDvwy3CRt6tdmP2610CNpXnEUDSQdumzdv9sZbM1S0yuKXFi2WjgIveZmZrW5AqSl8J9Bnh3YCff0aYucjQdxfut6mLRkJ+ZsOIBdR05KRyEJ0+2HzgscbM2+Jk6exnl+vsY8KzI+K+6srols5rFCawaK4UCIhIb2BooTuIu9hO+IyBlW1sHWMi2/5BzN9RmxaQaKJN2+rLlKlspEZ/xzqRK5UoKMaSJgqsxAxrJu+HMAlbv/JicpuKZzUwDAqGs7YdS1nVBSHpDW3gg3MjTxWVEUxVR4c+JrItKs2A9ddgcrn6jqIsv412elmnwACUx08jETEcNNty8VDcR3wrUMXT792sp8I28GcuKzImkGkkqO54GDrWCpS5OIww3qzEChNZ63CNve5E9wXKShyUhNRqpk7PB5Leoiq4ExvLpFvUrNDN8MZH7/DakQJMbBD102f8/vW6KQBJY+K9VksfSnqFJ9hMVEhjQrcQLvxyYSRDRlBG945ZmkZsVK6OFRwZnNrX1W5MrLjMDtycrMDJQikVyNCcxAvNneLadFN7aKaVg7HQue6IuKIMOOQ8UoDwRRVFoRTsPeoFaaoU7PrPqm16BAK7DICJbCjQzV7Uo52EbHDFRdFktysCW8goSVOMEqqZpwMhT4qXCFH26/5mOR9VnhlbPvs8IvFwufFcUkdFlmnxuRg60rmhXBuEQJ3ey2qygKUpMVnN20jqHMnb3a4Mt1+wAAt/RshXNbZKL/uU3RuE46+p7dCAs2H8J1XZrh21/2a8dmW1jhjS92ZghLM1CUxhFrIvyKEYQQElbiGKuNCfXHrZK58XxguO2qDgUkZ2HeZC7jhCoan11Mr8cByUlilXeahGal0mdFbQZyLxpIVDrSEGgZLZraZ6Vto1oY3KtN+H32PReGs11/+8t3mnpNMtMxsEszpCcnIbNGKrKX7UKvdg2wfMcRbj88oUSBfmPC6AkuPtg02xeQZoXwChJW4gTLaBrBZKl2LLXKYMuLBookH4sanhnI6mlUOs+KBGEfHJccbSuTwvHPpQqicdQEmdaHpEqzwunLprAiKu6GGcgKqw0JRQKEoij4z23nA6gUSm86vwXOalwb8zbl49Fpaw3l+ZqV2C2Ult/NamIH8q2DbfW4/QkNKe3iBJ5GQK1pkPFZEb0Ot6fxWTldjiusVL2WzQzLK2eZm0LSDGSnf96i4iQ3hGKyk7AocZqaIGOaft1MCicaV6RmIBk0worDdSspSUGXlvVQMy0F3VvVCx8fdtmZmjIAsOjJyzV19Z/vpe0bAgAuP7uRs8FIYul/5Wnv/sGveVaI+Ic0K3GCldAgzkHCNwNxNSIcs5JVmnxZX5AKjkojmpqVUF23ooLMHGxlImv0PishOYLXplsyRjQ0Kykc01YkqJtQjz/UTWtVZJKiGM2S79zRA8u3H0HPNmdg7Z7jmPPbAXzyc+XGqAO7NIt4fCHsOosnKm7vRE4QIUhYiROszTGCeoJGrISfqtBlnmOs+bh48NrhmYbM6kSSeMssFNsJSSY5PWSEFUO6/XAGW+8cbCMVHmRU/HbHaoVm/ySLPWiSFMXg11QrPQVXnVO5yerlZzdGw1rpYWHl2YGdDG18/XAfHC0uQ8szamDy0l1o17AW/rdiN/5yQWvTcdavlW56vtqELvtUVqnOSfsSBRJW4gSrSB2hGUiUZ4Wbwdboi8JrV6OtCWoFINFkFeD4igQsHEgYQ9ghE4hM0AhrVjiNKDIpZ3UkmUUDSYUu66KBFBOfFdtJ4fjHZaKUzJCZ8LVmoMhXLpGwwg9dthaANXsBcQTDLi3rhV+/fON5AIB7L21nOc4H/tAOy7cfxs+7jgEA3rylq+b8+a3PsGwjESAzEOEVJKzECfwkbtaOrurDPJ8UNbzMtIwjT6iryghMAF8w4Qkwhr5UAlAkJhwznxUnmJqBJISCgCDPCt8M5FZSOFvNOEIb4RR5e+o2tMKKsazC0awYy/BfR0qt9BTMGCbeef6Kjo0x8fbz0bFZpnud+hDfOtjGegBExJCwEidYOcRKOdhamG940UJqbQtPaAjoGxVMVtykcBKqkiBjSIIbmhXtv5FitpFhaopcUjj1wl6lWYncwVZUPBq7N6u1N270pl78tD4r/NBlKx8q9WcWzWVVURQMOM89Hxm/QqHLhFdQNFC8YKEJEUkrIgHFciPDsIOteZsyEUkA35nWSmWv7z8kTDmZD5mJGcgJSUmK6d5AVhjT7bupWXFunjJt16bPijtmIH7/3KYVa6dtSlrmLX41A5HLSvxDP904wTp0mf9r5G1OCFhrVqpCl4117LQZghu6LJH0hNeXTGiwoS+Xo4HMNt+TDl3WmIEq/+WGLtt2sOUfj8ZTr3qsbjg1JgkEFL5mRbEUVjSCnE8X1njmvJZ1Yz0ELtXFwTmRITNQnMCb99UTs2jdl3G85fYRXtyNbWn9YAQd6HCqWeH1VblQ2Zt8QoKdW2n3zTYylBEuKh1sjXV4NV0zA0X42GvXwdYNJZZGWFHdHdGuy5aaFQsHW8IZvzzfD0UlFWhcJyPWQyESFNKsxAnW0UAiB1u+5sM6b4uxXV7Keq3fjHih4GtW5HxW9K+dLLquhy6bbWQoaWtIkvRZsW+6cC5ERUqKRliRu9lmspgiuHbepSQp1n165WBb3cnMSEXz0ztv+4mBp/2E7v/DmRYlCb9DmpU4wWmeFVF5vi+KUfDgCThqLY4+dFkET4si57Oi1h45F1bMdpF2QqUZKDKhQBPdYhIN5BfNigzqPmSzG5shMgOJ8qxYhy6ThFKdGP+XbnjkyrNwdhPjpptEfEHCSpzAdYiViQbimHFE7XE1K5pjIc1KFQFJgcm5ZsX42smiGxqnGwtoaAyiUcj61Giys5pFA/lkI0O7DrbumIGs+wmhwNqBWhG8JhKT1OQkdGya2OHi1QUyA8UJshlnjWXUwoSVYGHuTMtvk1fbiFNhhfHMQA4WXS9Cl0XmGSdRN2YRP4rJpon88vzjUdGsKGphxWXNiuY4p7CiSJiB3I1WIggiOpCwEifwfVaYRQmT0GXLNPrG6BmeKUV2QXJDsxLqym4ob2Vd5mrKbbM8K042DKzadVkQdmzjmsUbGXrvYKv+bNwIExf5mAjzrNjQrBAEET+QsBIn8IULaxOMSJzhFedpSXjCjvpYQOOzYuJgyznn2MHWwRNxIMhcMwEB5hlsnYRWV+26zD9vJ+xYVDLaCbvciLwSjZl3WCYaSFPe6aAIgog6JKzECVwzkNrRVZhuX94MxHNm5fms8PxIwu1yRxFJUjh3ooGCzD0TEFC5MEbqYKsmpIyx46MhIpI9i5y0KyLaoctJimKdwZaigQgiLiFhJU6w1KwI66nL8+vy2ghrVjh+LJrQZV00kGitcJoUjptnxeG31q2EcEAozwqfyDQrAgHIhZU1Gun21biTFE50XORgK9825VkhiPiBhJU4ge+zojovNAMxwWtOWY4Wg9eH+pgmGghivxA3NCuhtp3uHlwus3OiJGZmoGRJDQZPUyA0A9nSrETehhu4YXYTpdjnb2QIVFhIKySgEER8QsJKnGCZZ0WinlVSOL5/ilHYETnYMhNTC28RkdvIUF2+8l+na25FwD3NiqIoETvDqoXHcJ4VFxK6CfcGioKDrRq3sgXz4GmgFEWxND1pqpHcQhBxAwkrcYJVNJBoIdGYdiyigZzkXtE3I8pi61izEjQKRk6jWkT9OWktOUlcz6nmB7Bn9hDhF82Kh7KKULNiB/JZIYj4gYSVOMEq1FiEMM8KryzXYddYX7iRIcQ+A87zrKjHVPmv06gWKxOBHZJNcp9EosEQ50ix0YbgeDSSwqlxa4drHqKNDO1AsgpBxA8krMQxMqnuhRlsrRxsOf4pPM2KPnRZ5MTKcxeJZjQQ4L4ZSOgMG0HUjTBHigualWgkhVPjthlI/V3gRwNZt0HaFIKIT0hYiRMsQ40lzEBWewPxE8AZ2zLTrIjgRf5EcyNDQOxg62RJdSPdPg9hjhQXQpejLay4rVlRfxd5GxzKCCKUwZYg4hMSVuIEvj+JtWYFgjLc8haCCeMIMBoZhImFJp4WxeneQE7NQG4mhTPfyND5z8oNQcMrM5Bd3LYCqZtzwwzkZkZjgiC8xdGsOmHCBLRt2xYZGRno0aMHFi9ebFp+4cKF6NGjBzIyMtCuXTu88847jgZbneFrVlTnBfqBIEcAEZXnCSZcbYuqbkCnWREtUK7uDeQDB9ukJEVodvDEZ8XW5kD8w9F2sHUzr42+Pd6VSGlWVK9JVCGI+MG2sDJ9+nQMHz4co0ePxtq1a3HppZdiwIAByM3N5ZbfuXMnrr32Wlx66aVYu3Yt/va3v+HRRx/F559/HvHgqxNcRYhMun0bGWx5Pis8bQxvD6EQYp+VyDUrob6cagjc9Fkxc7CNxNwi0hpFW9BwA7eFFXVzTrVr6mqkWCGI+MG2sDJu3DgMHToU9957Lzp16oTx48ejVatWmDhxIrf8O++8g9atW2P8+PHo1KkT7r33XgwZMgSvv/56xIOvTlhrVuSdZiEoa+WzUrVzMd/3hTEmfFzlLVy2HWxDeVYcWlnKXYwGUhRv8pnImnBMBSKfLMJumt0A7XeWvzeQ9X2npHAEEZ+k2ClcVlaG1atX45lnntEc79evH5YtW8ats3z5cvTr109zrH///pg0aRLKy8uRmppqqFNaWorS0tLw+4KCAgDAX96ej9SMWnaGnDAcKCxBsLREc+ynzXsQLA0AAH7dWYo/vjkPwdKTmjLv/fAbvvxpGwDg2PGCsNPjN6u2Y932/Zqyh4pKESw9BQDIWbcTf8zNx8nyQLjN7Xkl+OO4HM1Y1GPYk195LFhhFAqW/15VrupYruGYnkenLEPN1GQAwI7DRQiWVoCV1jBcpwxPfbyCWy+QpNh2Bi0pLsLJ4lRue6Uni6TGd7L4RLhcYWFhZd1TxrqFhYUIlp3UHE9OTkJQ4DB8StB/qA8rhGNX5NoI1T9ZVCQsr+6jIpBk2q66PfX9Kjv9vQgdK1Hdz1AZPUUnSqraKCiEUm6cfwiCcI/Q7zBiHzFmg7y8PAaALV26VHP8pZdeYh06dODWad++PXvppZc0x5YuXcoAsH379nHrPPfccwynlQX0R3/0R3/0R3/0F99/e/bssSNuGLClWQmhV7cyxkxVsLzyvOMhRo0ahZEjR4bfHz9+HFlZWcjNzUXdunWdDDmuKCwsRKtWrbBnzx5kZmbGejhRobpdc3W7XqD6XXN1u16Arrk6XLPd62WM4cSJE2jevHlE/doSVho2bIjk5GQcOHBAczw/Px9NmjTh1mnatCm3fEpKCho0aMCtk56ejvT0dMPxunXrVosvQ4jMzMxqdb1A9bvm6na9QPW75up2vQBdc3XAzvW6oWSw5aqYlpaGHj16ICcnR3M8JycHvXv35tbp1auXofzcuXPRs2dPrr8KQRAEQRCEGttxFSNHjsQHH3yAyZMnY9OmTRgxYgRyc3MxbNgwAJUmnMGDB4fLDxs2DLt378bIkSOxadMmTJ48GZMmTcITTzzh3lUQBEEQBJGw2PZZueWWW3DkyBGMGTMG+/fvR+fOnTFr1ixkZWUBAPbv36/JudK2bVvMmjULI0aMwH/+8x80b94cb731Fv70pz9J95meno7nnnuOaxpKRKrb9QLV75qr2/UC1e+aq9v1AnTN1YFYXa/CGKVGIgiCIAjCv9DeQARBEARB+BoSVgiCIAiC8DUkrBAEQRAE4WtIWCEIgiAIwteQsEIQBEEQhK+JirAyYcIEtG3bFhkZGejRowcWL15sWn7hwoXo0aMHMjIy0K5dO7zzzjuGMp9//jnOOeccpKen45xzzsEXX3wRcb9uEYvrHTt2LC644ALUqVMHjRs3xg033IDNmze7el1mxOozDjF27FgoioLhw4dHeilSxOp68/LycMcdd6BBgwaoWbMmunXrhtWrV7t2XWbE4porKirw7LPPom3btqhRowbatWuHMWPGIOjiDtoi3L7eDRs24E9/+hPatGkDRVEwfvx4V/p1k1hccyznrlh9xiGiPW8BsbvmiOeuiHYWkuCTTz5hqamp7P3332cbN25kjz32GKtVqxbbvXs3t/yOHTtYzZo12WOPPcY2btzI3n//fZaamso+++yzcJlly5ax5ORk9vLLL7NNmzaxl19+maWkpLAVK1Y47jfer7d///7sww8/ZL/99htbt24dGzhwIGvdujUrKiry9Hpjec0hVq5cydq0acO6dOnCHnvsMa8uM0ysrvfo0aMsKyuL3X333eynn35iO3fuZPPmzWPbtm1L2Gt+8cUXWYMGDdi3337Ldu7cyWbMmMFq167Nxo8fH3fXu3LlSvbEE0+wadOmsaZNm7I333wz4n7dJFbXHKu5K1bXqy4bzXmLsdhdsxtzl+fCyoUXXsiGDRumOdaxY0f2zDPPcMs/9dRTrGPHjppjDzzwALv44ovD7wcNGsSuueYaTZn+/fuzv/zlL477dYtYXa+e/Px8BoAtXLjQ7iXYJpbXfOLECda+fXuWk5PDLrvssqj86GN1vU8//TS75JJLIh2+I2J1zQMHDmRDhgzRlLnpppvYHXfc4eg6ZPHietVkZWVxJ/VYzVtO+nbrmvVEa+6K5fXGYt5iLHbX7Mbc5akZqKysDKtXr0a/fv00x/v164dly5Zx6yxfvtxQvn///li1ahXKy8tNy4TadNKvG8TqenkUFBQAAOrXr2/7OuwQ62v+61//ioEDB+Kqq66K9FKkiOX1fv311+jZsyduvvlmNG7cGN27d8f777/vxmWZEstrvuSSS/DDDz9gy5YtAID169djyZIluPbaayO+LhFeXa8X/bpFrK6ZRzTmrlhfb7TnLSC21+zG3OWpsHL48GEEAgHDjsxNmjQx7MQc4sCBA9zyFRUVOHz4sGmZUJtO+nWDWF2vHsYYRo4ciUsuuQSdO3d2ejlSxPKaP/nkE6xZswZjx45141KkiOX17tixAxMnTkT79u0xZ84cDBs2DI8++iimTJnixqUJieU1P/3007j11lvRsWNHpKamonv37hg+fDhuvfVWNy6Ni1fX60W/bhGra9YTrbkrltcbi3kLiO01uzF32d4byAmKomjeM8YMx6zK64/LtGm3X7eI1fWGePjhh/HLL79gyZIltsYdCdG+5j179uCxxx7D3LlzkZGREdHYnRCLzzgYDKJnz554+eWXAQDdu3fHhg0bMHHiRM3moV4Ri2uePn06PvroI3z88cc499xzsW7dOgwfPhzNmzfHXXfd5fhaZPDier3o101idc0hoj13Rft6Yz1vAbH5jN2YuzzVrDRs2BDJyckGqS0/P98grYVo2rQpt3xKSgoaNGhgWibUppN+3SBW16vmkUcewddff40ff/wRLVu2jORypIjVNa9evRr5+fno0aMHUlJSkJKSgoULF+Ktt95CSkoKAoGAW5eoIZafcbNmzXDOOedoynTq1EmzcagXxPKan3zySTzzzDP4y1/+gvPOOw933nknRowY4elTqVfX60W/bhGra1YTzbkrVtcbq3kLiO1n7Mbc5amwkpaWhh49eiAnJ0dzPCcnB7179+bW6dWrl6H83Llz0bNnT6SmppqWCbXppF83iNX1ApXS7sMPP4yZM2di/vz5aNu2rRuXZEmsrvnKK6/Er7/+inXr1oX/evbsidtvvx3r1q1DcnKyW5eoIZafcZ8+fQwhnVu2bAnveO4VsbzmkydPIilJO00lJyd7Grrs1fV60a9bxOqagdjMXbG63ljNW0BsP2NX5q6I3HMlCIVKTZo0iW3cuJENHz6c1apVi+3atYsxxtgzzzzD7rzzznD5UKjUiBEj2MaNG9mkSZMMoVJLly5lycnJ7JVXXmGbNm1ir7zyijB0WdRvol3vgw8+yOrWrcsWLFjA9u/fH/47efKkp9cby2vWEy2v+lhd78qVK1lKSgp76aWX2NatW9nUqVNZzZo12UcffZSw13zXXXexFi1ahEOXZ86cyRo2bMieeuqpuLve0tJStnbtWrZ27VrWrFkz9sQTT7C1a9eyrVu3SvebiNccq7krVterJ5rRQLG6ZjfmLs+FFcYY+89//sOysrJYWloaO//88zUhaXfddRe77LLLNOUXLFjAunfvztLS0libNm3YxIkTDW3OmDGDnX322Sw1NZV17NiRff7557b69ZJYXC8A7t+HH37oxSUaiNVnrCaaP/pYXe8333zDOnfuzNLT01nHjh3Ze++95/q1iYjFNRcWFrLHHnuMtW7dmmVkZLB27dqx0aNHs9LSUk+uUY3b17tz507ub1TfTqzmLau+vbrmWM5dsfqM1URz3mIsdtcc6dylMHbaW4YgCIIgCMKH0N5ABEEQBEH4GhJWCIIgCILwNSSsEARBEATha0hYIQiCIAjC15CwQhAEQRCEryFhhSAIgiAIX0PCCkEQBEEQvoaEFYIgCIIgfA0JKwRBEARB+BoSVgiCIAiC8DUkrBAEQRAE4Wv+Pw4m3IsOs6QqAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import animation\n",
"\n",
"functions = load_utk_rdfseries(\"../result_data/rdffiles_Heck_UTK/\")\n",
"\n",
"keys = sorted(functions.keys())\n",
"\n",
"fig, ax = plt.subplots()\n",
"\n",
"plot = ax.plot(functions[keys[0]][0], functions[keys[0]][1])[0]\n",
"ax.set(xlim=[0, 0.02], ylim=[-0.1, 0.1])\n",
"\n",
"def update(frame):\n",
" # determine maximum for plot scaling\n",
" maxx = max(functions[keys[frame]][0])\n",
" maxy = max(functions[keys[frame]][1])\n",
" \n",
" ax.set(xlim=[0, maxx * 1.05], ylim=[0, maxy * 1.05])\n",
" ax.set_title(\"max_distance: \" + keys[frame])\n",
" plot.set_xdata(functions[keys[frame]][0])\n",
" plot.set_ydata(functions[keys[frame]][1])\n",
"\n",
"anim = animation.FuncAnimation(fig=fig, func=update, frames=len(keys), interval=300)\n",
"anim.save(\"animation_UTK_Heck.mp4\", dpi=600)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "05a629ba-af59-4d1d-8bc8-7c55888db52c",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'load_utk_rdfseries' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[17], line 6\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m animation\n\u001b[1;32m 4\u001b[0m LINEWIDTH \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.6\u001b[39m\n\u001b[0;32m----> 6\u001b[0m utk_rdfdata \u001b[38;5;241m=\u001b[39m \u001b[43mload_utk_rdfseries\u001b[49m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../result_data/rdffiles_Heck_UTK/\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m psa_rdfdata \u001b[38;5;241m=\u001b[39m load_heck_pcfseries(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../result_data/pcffiles_PSA/\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 8\u001b[0m utk_pcfdata \u001b[38;5;241m=\u001b[39m load_pcfseries(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../result_data/pcffiles_UTK/\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
"\u001b[0;31mNameError\u001b[0m: name 'load_utk_rdfseries' is not defined"
]
}
],
"source": [
"# Plotting of compound animation\n",
"from matplotlib import animation\n",
"\n",
"LINEWIDTH = 0.6\n",
"\n",
"utk_rdfdata = load_utk_rdfseries(\"../result_data/rdffiles_Heck_UTK/\")\n",
"psa_rdfdata = load_heck_pcfseries(\"../result_data/pcffiles_PSA/\")\n",
"utk_pcfdata = load_pcfseries(\"../result_data/pcffiles_UTK/\")\n",
"\n",
"utk_rdf_keys = sorted(utk_rdfdata.keys())\n",
"psa_keys = sorted(psa_rdfdata.keys())\n",
"utk_pcf_keys = sorted(utk_pcfdata.keys())\n",
"\n",
"assert utk_rdf_keys == psa_keys == utk_pcf_keys\n",
"\n",
"fig, ax = plt.subplots(2,2, sharex=False, sharey=False)\n",
"fig.tight_layout()\n",
"\n",
"plot_utk_rdf = ax[0][0].plot(utk_rdfdata[utk_rdf_keys[0]][0], utk_rdfdata[utk_rdf_keys[0]][1], linewidth=LINEWIDTH)[0]\n",
"ax[0][0].set(xlim=[0, 0.02], ylim=[-0.1, 0.1])\n",
"\n",
"plot_psa_rdf = ax[0][1].plot(psa_rdfdata[psa_keys[0]][0], psa_rdfdata[psa_keys[0]][1], linewidth=LINEWIDTH)[0]\n",
"ax[0][1].set(xlim=[0, 0.02], ylim=[-0.1, 0.1])\n",
"\n",
"plot_utk_pcf = ax[1][0].plot(utk_pcfdata[utk_pcf_keys[0]][0], utk_pcfdata[utk_pcf_keys[0]][1], linewidth=LINEWIDTH)[0]\n",
"ax[1][0].set(xlim=[0, 0.02], ylim=[-0.1, 0.1])\n",
"\n",
"ax[1][1].set_axis_off()\n",
"ax[1][1].set(xlim=[0, 1.0], ylim=[0, 1.0])\n",
"ax[1][1].text(0.4, 0.4, \"max_distance: \\n\" + utk_pcf_keys[0])\n",
"\n",
"def update(frame):\n",
" # determine maximum for plot scaling\n",
" maxx_0 = max(utk_rdfdata[utk_rdf_keys[frame]][0])\n",
" maxy_0 = max(utk_rdfdata[utk_rdf_keys[frame]][1])\n",
"\n",
" maxx_1 = max(psa_rdfdata[psa_keys[frame]][0])\n",
" maxy_1 = max(psa_rdfdata[psa_keys[frame]][1])\n",
"\n",
" maxx_2 = max(utk_pcfdata[utk_pcf_keys[frame]][0])\n",
" maxy_2 = max(utk_pcfdata[utk_pcf_keys[frame]][1])\n",
" \n",
" ax[0][0].set(xlim=[0, maxx_0 * 1.05], ylim=[0, maxy_0 * 1.05])\n",
" ax[0][0].set_title(\"Heck in UTK\")\n",
" \n",
" plot_utk_rdf.set_xdata(utk_rdfdata[utk_rdf_keys[frame]][0])\n",
" plot_utk_rdf.set_ydata(utk_rdfdata[utk_rdf_keys[frame]][1])\n",
"\n",
" ################\n",
" \n",
" ax[0][1].set(xlim=[0, maxx_1 * 1.05], ylim=[0, maxy_1 * 1.05])\n",
" ax[0][1].set_title(\"PSA implementation\")\n",
" \n",
" plot_psa_rdf.set_xdata(psa_rdfdata[psa_keys[frame]][0])\n",
" plot_psa_rdf.set_ydata(psa_rdfdata[psa_keys[frame]][1])\n",
"\n",
" ################ \n",
" \n",
" ax[1][0].set(xlim=[0, maxx_2 * 1.05], ylim=[0, maxy_2 * 1.05])\n",
" ax[1][0].set_title(\"UTK implementation\")\n",
" \n",
" plot_utk_pcf.set_xdata(utk_pcfdata[utk_pcf_keys[frame]][0])\n",
" plot_utk_pcf.set_ydata(utk_pcfdata[utk_pcf_keys[frame]][1])\n",
"\n",
" ################\n",
" ax[1][1].clear()\n",
" ax[1][1].set_axis_off()\n",
" ax[1][1].set(xlim=[0, 1.0], ylim=[0, 1.0])\n",
" ax[1][1].text(0.4, 0.4, \"max_distance: \\n\" + utk_pcf_keys[frame])\n",
"\n",
"maxkeylen = max(max(len(utk_rdf_keys), len(psa_keys)), len(utk_pcf_keys))\n",
"\n",
"anim = animation.FuncAnimation(fig=fig, func=update, frames=maxkeylen, interval=300)\n",
"anim.save(\"animation_compound.mp4\", dpi=600, writer=\"ffmpeg\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "2a1e9a6e-a307-47c8-8aa6-de7c5a3166f3",
"metadata": {
"scrolled": true
},
"outputs": [
{
"ename": "FileNotFoundError",
"evalue": "[Errno 2] No such file or directory: '../cmake-build-debug/spectrum.txt'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[19], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m spectrum \u001b[38;5;241m=\u001b[39m \u001b[43mload_spectrum_to_matrix\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m../cmake-build-debug/spectrum.txt\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3\u001b[0m (px, py) \u001b[38;5;241m=\u001b[39m load_pointset(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../result_data/sampled.txt\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 5\u001b[0m (pcfx, pcfy) \u001b[38;5;241m=\u001b[39m load_heck_pcf(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../psa/cmake-build-debug/sampled_rdf.txt\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
"Cell \u001b[0;32mIn[16], line 7\u001b[0m, in \u001b[0;36mload_spectrum_to_matrix\u001b[0;34m(freqpath)\u001b[0m\n\u001b[1;32m 3\u001b[0m maxfreq \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.0\u001b[39m\n\u001b[1;32m 5\u001b[0m freqs \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfreqpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m spectrum:\n\u001b[1;32m 8\u001b[0m dimension \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(spectrum\u001b[38;5;241m.\u001b[39mreadline())\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m line \u001b[38;5;129;01min\u001b[39;00m spectrum\u001b[38;5;241m.\u001b[39mreadlines():\n",
"File \u001b[0;32m/nix/store/7km40f9z07gb81vd3041jm5l4v7xk4aa-python3-3.11.9-env/lib/python3.11/site-packages/IPython/core/interactiveshell.py:324\u001b[0m, in \u001b[0;36m_modified_open\u001b[0;34m(file, *args, **kwargs)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 319\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 320\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 322\u001b[0m )\n\u001b[0;32m--> 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../cmake-build-debug/spectrum.txt'"
]
}
],
"source": [
"\n",
"spectrum = load_spectrum_to_matrix(\"../cmake-build-debug/spectrum.txt\")\n",
"\n",
"(px, py) = load_pointset(\"../result_data/sampled.txt\")\n",
"\n",
"(pcfx, pcfy) = load_heck_pcf(\"../psa/cmake-build-debug/sampled_rdf.txt\")\n",
"\n",
"(specxs, specys) = load_radspec(\"../cmake-build-debug/radSpec.txt\")\n",
"\n",
"fig, ax = plt.subplots(2, 2)\n",
"fig.tight_layout() \n",
"plt.rcParams['figure.dpi'] = 800\n",
"\n",
"\n",
"ax[0][0].set_aspect(1.0)\n",
"ax[0][0].scatter(px, py, s=0.2)\n",
"ax[0][0].set_title(\"Points\")\n",
"\n",
"ax[0][1].imshow(spectrum, cmap=\"gray\")\n",
"ax[0][1].set_title(\"Spectrum\")\n",
"\n",
"ax[1][0].plot(pcfx, pcfy, linewidth=0.5)\n",
"ax[1][0].set_title(\"PCF\")\n",
"\n",
"ax[1][1].plot(specxs, specys, linewidth=0.5)\n",
"ax[1][1].set_title(\"Power spectrum\")\n",
"plt.savefig(\"fullfig_generated_utk.png\", dpi=800)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "41753602-44bb-44a9-a050-f1887589bd96",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1,2)\n",
"ax[0].set_aspect(1)\n",
"#ax[1].set_aspect(1.0)\n",
"\n",
"pointset = load_pointset(\"../utk/cmake-build-debug/src/samplers/points.txt\")\n",
"ax[0].scatter(pointset[0], pointset[1], s=0.1)\n",
"\n",
"rdf = load_radspec(\"../utk/cmake-build-debug/src/samplers/rdf.txt\")\n",
"ax[1].set(xlim=[0.0, 0.26], ylim=[min(rdf[1]), max(rdf[1])])\n",
"ax[1].plot(rdf[0], rdf[1], linewidth = 0.2)\n",
"\n",
"plt.rcParams['figure.dpi'] = 400\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "a217ce8d-fd36-4e2d-8c4a-90dba8c06cb4",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import animation\n",
"\n",
"\n",
"def generate_forceseries(path: str):\n",
" forces = []\n",
" for i in range(len(os.listdir(path))):\n",
" with open(os.path.join(path, \"force\" + str(i) + \".dat\"), 'r') as forcefile:\n",
" xs = []\n",
" ys = []\n",
" for line in forcefile.readlines():\n",
" x, y = line.split(\" \")\n",
" y.replace(\"\\n\", \"\")\n",
" xs.append(float(x))\n",
" ys.append(float(y))\n",
" forces.append((xs, ys)) \n",
" return forces"
]
},
{
"cell_type": "code",
"execution_count": 106,
"id": "122d231d-483c-46e8-8600-883a0e7b11fb",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"forces = generate_forceseries(\"../result_data/forces_unmodified\")\n",
"\n",
"fig, ax = plt.subplots(1,2)\n",
"\n",
"\n",
"def update(frame, n):\n",
" maxx = max(forces[frame][0])\n",
" maxy = max(forces[frame][1])\n",
"\n",
" ax[n].clear()\n",
" ax[n].set(xlim=[0.0, maxx * 0.2], ylim=[0.0, maxy * 0.2])\n",
" #ax.set_title(\"frame \" + str(frame))\n",
" ax[n].plot(forces[frame][0],forces[frame][1])\n",
"\n",
"update(len(forces) - 1, 1)\n",
"update(0, 0)\n",
"\n",
"ax[0].set_aspect(0.12)\n",
"ax[1].set_aspect(56)\n",
"\n",
"fig.tight_layout()\n",
"\n",
"\n",
"plt.savefig(\"/home/clara/repositorys/bachelor-thesis/thesis/media/f_converged_non_converged.png\", dpi=300, bbox_inches='tight')\n",
" \n",
"#anim = animation.FuncAnimation(fig=fig, func=update, frames=len(forces), interval=300)\n",
"#anim.save(\"animation_forces_16384.mp4\", dpi=600, writer=\"ffmpeg\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "da02f09d-7498-423a-af68-e2e1a729efd4",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def load_pointset_series(path: str):\n",
" pointsets = {}\n",
" for pointset in os.listdir(path):\n",
" key = float(pointset.replace(\"pointset_\", \"\").replace(\".txt\", \"\"))\n",
" pointset = load_pointset(os.path.join(path, pointset))\n",
" pointsets[key] = pointset\n",
"\n",
" return pointsets\n",
"\n",
"def load_radspec_series(path: str):\n",
" radspecs = {}\n",
" for radspec in os.listdir(path):\n",
" key = float(radspec.replace(\"pointset_\", \"\").replace(\".rdf\", \"\"))\n",
" radspec = load_radspec(os.path.join(path, radspec))\n",
" radspecs[key] = radspec\n",
"\n",
" return radspecs\n",
" \n",
"\n",
"pcfs = load_utk_rdfseries(\"../result_data/pointset_series/rdffiles/\")\n",
"pointsets = load_pointset_series(\"../result_data/pointset_series/pointsets/\")\n",
"radspecs = load_radspec_series(\"../result_data/pointset_series/radspecs/\")\n",
"\n",
"keys = sorted(pointsets.keys())\n",
"\n",
"fig, ax = plt.subplots(2,2)\n",
"pointplot = ax[0][0].scatter(pointsets[keys[0]][0], pointsets[keys[0]][1], s=0.2)\n",
"rdfplot = ax[0][1].plot(pcfs[str(keys[0])][0],pcfs[str(keys[0])][1], linewidth=0.2)[0]\n",
"radspecplot = ax[1][0].plot(radspecs[keys[0]][0], radspecs[keys[0]][1], linewidth=0.2)[0]\n",
"\n",
"fig.tight_layout()\n",
"\n",
"\n",
"def update(frame):\n",
"\n",
" ax[0][0].clear()\n",
" pointplot = ax[0][0].scatter(pointsets[keys[frame]][0], pointsets[keys[frame]][1], s=0.2)\n",
" ax[0][0].set(xlim=[0, 1], ylim=[0.0, 1.0])\n",
" ax[0][0].set_title(\"cutoff: \" + str(keys[frame]))\n",
"\n",
" maxx = float(max(pcfs[str(keys[frame])][0]))\n",
" maxy = float(max(pcfs[str(keys[frame])][1]))\n",
" \n",
" rdfplot.set_xdata(pcfs[str(keys[frame])][0])\n",
" rdfplot.set_ydata(pcfs[str(keys[frame])][1])\n",
"\n",
" ax[0][1].set(xlim=[0, maxx], ylim=[0.0, 1.0e-7])\n",
" #ax[1].set_xbound(lower=-0.01, upper=maxx) \n",
" #ax[1].set_ybound(lower=0, upper=maxx)\n",
"\n",
" radspecplot.set_xdata(radspecs[keys[frame]][0])\n",
" radspecplot.set_ydata(radspecs[keys[frame]][1])\n",
"\n",
"\n",
"anim = animation.FuncAnimation(fig=fig, func=update, frames=len(keys), interval=300)\n",
"anim.save(\"animation_cutoffs_with_radspec.mp4\", dpi=600, writer=\"ffmpeg\")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "9130e7ed-06ba-40f9-afd5-0506022c4156",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import animation\n",
"\n",
"\n",
"def load_gradient(path: str):\n",
" xs, ys, us, vs, cs = [], [], [], [], []\n",
" with open(path, 'r') as gradfile:\n",
" for line in gradfile.readlines():\n",
" x, y, u, v = line.split(\" \")\n",
" x = float(x)\n",
" y = float(y)\n",
" u = float(u)\n",
" v = float(v)\n",
" \n",
" xs.append(x)\n",
" ys.append(y)\n",
" us.append(u)\n",
" vs.append(v)\n",
" cs.append(np.hypot(u,v))\n",
" \n",
" return (xs, ys, us, vs, cs)\n",
" \n",
"\n",
"fig, ax = plt.subplots(2,2)\n",
"fig.tight_layout()\n",
"\n",
"ax[0][0].set_xlim([-0.1, 1.1])\n",
"ax[0][0].set_ylim([-0.1, 1.1])\n",
"ax[1][0].set_xlim([-0.1, 1.1])\n",
"ax[1][0].set_ylim([-0.1, 1.1])\n",
"\n",
"def update(frame):\n",
" fig.suptitle(f'frame: {str(frame)}')\n",
"\n",
" for axis in ax:\n",
" for a in axis:\n",
" a.clear()\n",
" \n",
" ax[0][0].set_title('no cutoffs')\n",
"\n",
" \n",
" (xs, ys, us, vs, cs) = load_gradient(f'../result_data/gradients_no_cutoff/forces_{str(min(222,frame))}.txt')\n",
" ax[0][0].quiver(xs, ys, us, vs, cs)\n",
" ax[0][0].scatter(xs, ys, s=1.0)\n",
" ax[0][0].set_aspect(1.0)\n",
"\n",
" (radspec_x, radspec_y) = load_heck_pcf(f'../result_data/gradients_no_cutoff/pointset_{str(min(222,frame))}_rp.txt')\n",
" radspec_y = scipy.ndimage.gaussian_filter(radspec_y, 2.0)\n",
" ax[0][1].plot(radspec_x, radspec_y, linewidth=0.5)\n",
" ax[0][1].set_ylim([-0.1, 2.0])\n",
" ax[0][1].set_aspect(57)\n",
"\n",
"\n",
" ax[1][0].set_title('cutoff 0.1')\n",
" (xs, ys, us, vs, cs) = load_gradient(f'../result_data/gradients_cutoff_0.1/forces_{str(frame)}.txt')\n",
" ax[1][0].quiver(xs, ys, us, vs, cs)\n",
" ax[1][0].scatter(xs, ys, s=1.0)\n",
" ax[1][0].set_aspect(1.0)\n",
"\n",
" (radspec_x, radspec_y) = load_heck_pcf(f'../result_data/gradients_cutoff_0.1/pointset_{str(frame)}_rp.txt')\n",
" radspec_y = scipy.ndimage.gaussian_filter(radspec_y, 2.0)\n",
" ax[1][1].plot(radspec_x, radspec_y, linewidth=0.5)\n",
" ax[1][1].set_ylim([-0.1, 2.0])\n",
" ax[1][1].set_aspect(57)\n",
" \n",
"anim = animation.FuncAnimation(fig=fig, func=update, frames=258, interval=200)\n",
"anim.save(\"animation_gradients_combined.mp4\", dpi=600, writer=\"ffmpeg\")"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "fb39474d-914c-40a0-adee-70d00c953794",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"converting file 222\n",
"Config file 'psa.cfg' not found. Using defaults.\n"
]
}
],
"source": [
"def convert_to_pointset(path: str):\n",
" xs, ys = [], []\n",
" with open(path, 'r') as gradfile:\n",
" for line in gradfile.readlines():\n",
" x, y, _, _= line.split(\" \")\n",
" x = float(x)\n",
" y = float(y)\n",
"\n",
" \n",
" xs.append(x)\n",
" ys.append(y)\n",
"\n",
" with open(path.replace('.txt', '') + '_pointset.txt', 'w') as pointsetfile:\n",
" for i in range(len(xs)):\n",
" pointsetfile.write(str(xs[i]) + \" \" + str(ys[i]) + \"\\n\")\n",
"\n",
"for i in range(222,223):\n",
" print(f'converting file {i}')\n",
" #convert_to_pointset(f'../result_data/gradients_no_cutoff/forces_{i}.txt')\n",
" os.system('../psa/cmake-build-debug/psa --rp --raw ' + f'../result_data/avggrads_no_cutoff/pointset_{str(i)}.txt')\n",
" os.system('mv ' + f'./pointset_{str(i)}_rp.txt' + ' ' + f'../result_data/avggrads_no_cutoff/')\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "a6e4e026-faee-42e8-b433-525974ebf411",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def load_histogram(path: str) -> [([float], [float])]:\n",
" contributions = []\n",
" with open(path, 'r') as histfile:\n",
" for line in histfile.readlines():\n",
" if ' ' in line:\n",
" dist, force = line.split(' ')\n",
" contributions[-1][0].append(float(dist))\n",
" contributions[-1][1].append(float(force))\n",
" else:\n",
" contributions.append(([], []))\n",
" return contributions\n",
"\n",
"\n",
"def fold_histogram(histogram_data: [([float], [float])], nbins: int):\n",
" binsize = 0.5 / nbins\n",
" bins = [0.0] * nbins\n",
" n_contribs = [1] * nbins\n",
" \n",
" for point_contrib in histogram_data:\n",
" for i, dist in enumerate(point_contrib[0]):\n",
" binidx = math.floor(dist / binsize)\n",
" bins[binidx] += point_contrib[1][i]\n",
" n_contribs[binidx] += 1\n",
"\n",
" for i in range(len(bins)):\n",
" bins[i] = bins[i] / float(n_contribs[i])\n",
" \n",
" return bins\n",
"\n",
"fig, ax = plt.subplots(1,2, layout=\"constrained\")\n",
"\n",
"DATAPATH = \"/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers\"\n",
"\n",
"def update(frame):\n",
" hist = load_histogram(f'{DATAPATH}/contribution_histogram{frame}.hst')\n",
" #pts = load_pointset(f'{DATAPATH}/pointset_{frame}.txt')\n",
" #rps = load_heck_pcf(f'{DATAPATH}/pointset_{frame}_rp.txt')\n",
" \n",
" # ax[0].clear()\n",
" # ax[0].scatter(pts[0], pts[1], s=0.5)\n",
" # ax[0].set_aspect(1.0)\n",
"\n",
" # ax[1].clear()\n",
" # rps_y = scipy.ndimage.gaussian_filter(rps[1], 2.0)\n",
" # ax[1].plot(rps[0], rps_y, linewidth = 0.5)\n",
" # ax[1].set_ylim([-0.1, 2.5])\n",
" # ax[1].set_aspect(48)\n",
" \n",
" nbins = 100\n",
" bins = fold_histogram(hist, nbins)\n",
"\n",
" ax[0].plot([(0.5 / nbins) * i for i in range(nbins)], bins, linestyle = \"-\", marker = 'o', markersize=1.5, linewidth=0.8)\n",
"\n",
"\n",
"hist_0 = load_histogram(f'{DATAPATH}/contribution_histogram0.hst')\n",
"hist_222 = load_histogram(f'{DATAPATH}/contribution_histogram222.hst')\n",
"\n",
"# nbins = 100\n",
"# bins_0 = fold_histogram(hist_0, nbins)\n",
"# bins_222 = fold_histogram(hist_222, nbins)\n",
"\n",
"# allhists = []\n",
"# for i in range(223):\n",
"# hist = load_histogram(f'{DATAPATH}/contribution_histogram{i}.hst')\n",
"# allhists.append(fold_histogram(hist, nbins))\n",
"\n",
"# hist_max = np.max(allhists, axis=0)\n",
"# hist_min = np.min(allhists, axis=0)\n",
"# hist_median = np.median(allhists, axis=0)\n",
"# nbins = len(hist_median)\n",
"# xs = [(0.5 / nbins) * i for i in range(nbins)]\n",
"\n",
"# with open('.mediancache.txt', 'w+') as medianfile:\n",
"# for i, median in enumerate(hist_median):\n",
"# medianfile.write(str(xs[i]) + \" \" + str(median) + \"\\n\")\n",
"\n",
"# with open('.mincache.txt', 'w+') as minfile:\n",
"# for minval in hist_min:\n",
"# minfile.write(str(minval) + \"\\n\")\n",
"\n",
"# hist_median = []\n",
"# xs = []\n",
"# with open('.mediancache.txt', 'r') as medianfile:\n",
"# for line in medianfile.readlines():\n",
"# hist_median.append(float(line.split(' ')[1]))\n",
"# xs.append(float(line.split(' ')[0]))\n",
"\n",
"# hist_max = []\n",
"# with open('.maxcache.txt', 'r') as maxfile:\n",
"# for line in maxfile.readlines():\n",
"# hist_max.append(float(line))\n",
"\n",
"# hist_min = []\n",
"# with open('.mincache.txt', 'r') as minfile:\n",
"# for line in minfile.readlines():\n",
"# hist_min.append(float(line))\n",
"\n",
"#ax.fill_between(xs, hist_max, hist_min, alpha=0.2)\n",
"nbins = 100\n",
"hist_0 = load_histogram(f'{DATAPATH}/contribution_histogram{0}.hst')\n",
"bins_0 = fold_histogram(hist_0, nbins)\n",
"\n",
"ax[0].plot([(0.5 / nbins) * i for i in range(nbins)], bins_0, linestyle = \"-\", marker = 'o', markersize=1.5, linewidth=0.8)\n",
"\n",
"hist_last = load_histogram(f'{DATAPATH}/contribution_histogram235.hst')\n",
"bins_last = fold_histogram(hist_last, nbins)\n",
"\n",
"ax[1].plot([(0.5 / nbins) * i for i in range(nbins)], bins_last, linestyle = \"-\", marker = 'o', markersize=1.5, linewidth=0.8)\n",
"\n",
"ax[0].set_aspect(90)\n",
"ax[1].set_aspect(20000)\n",
"\n",
"# ax[0].set_xticks([0.0, 0.3, 0.5])\n",
"# ax[1].set_xticks([0.0, 0.3, 0.5])\n",
"\n",
" \n",
"#fig.tight_layout()\n",
"\n",
"plt.savefig(\"/home/clara/repositorys/bachelor-thesis/thesis/media/avggrads_both_tc_0.2.png\", dpi=600, bbox_inches='tight')\n",
"\n",
"#anim = animation.FuncAnimation(fig=fig, func=update, frames=222, interval=400)\n",
"#anim.save(\"with_average_forces_no_cutoff_allforces.mp4\", dpi=300, writer=\"ffmpeg\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "5cd7055b-cc7c-4027-be82-180370081145",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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DAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADM8TRwjh07psLCQgUCAQUCARUWFur48eNtHuOcU1lZmdLT09WrVy9dd9112r17d/j3//nPf/S73/1OQ4YMUe/evXXZZZdp6tSpamxs9PJUAABAHPE0cCZPnqza2lqtX79e69evV21trQoLC9s8Zv78+Xr66adVUVGhd999V2lpabrxxhvV1NQkSTp8+LAOHz6sp556Sh988IH+8pe/aP369br//vu9PBUAABBHfM4558Ud7927V8OHD9fWrVuVk5MjSdq6datyc3P10UcfaciQIa2Occ4pPT1dxcXFmjFjhiSpublZqampmjdvnh588MGoj/XKK6/onnvu0ZdffqmEhITzri0UCikQCKixsVHJycnf4iwBAEBXieX527MrONXV1QoEAuG4kaTRo0crEAhoy5YtUY+pq6tTMBhUQUFBeMzv92vMmDHnPEZS+ETbEzcAAMA+z4ogGAyqf//+rcb79++vYDB4zmMkKTU1NWI8NTVVBw4ciHrM0aNH9eSTT57z6o505ipQc3Nz+OdQKHTe9QMAgPgV8xWcsrIy+Xy+Nm87duyQJPl8vlbHO+eijn/Tf//+XMeEQiHdfPPNGj58uGbPnn3O+ysvLw+/0TkQCCgjI6M9pwoAAOJUzFdwHn74Yd11111tzhk0aJDef/99ffbZZ61+9/nnn7e6QnNWWlqapDNXcgYMGBAeP3LkSKtjmpqaNG7cOP3gBz/QmjVrlJiYeM71zJw5UyUlJeGfQ6EQkQMAgGExB05KSopSUlLOOy83N1eNjY3avn27rrnmGknStm3b1NjYqLy8vKjHZGZmKi0tTVVVVRo5cqQk6cSJE9q0aZPmzZsXnhcKhTR27Fj5/X6tXbtWSUlJba7F7/fL7/e39xQBAECc8+xNxsOGDdO4ceM0ZcoUbd26VVu3btWUKVN0yy23RHyCaujQoVqzZo2kMy9NFRcXa+7cuVqzZo0+/PBD3Xffferdu7cmT54s6cyVm4KCAn355ZeqrKxUKBRSMBhUMBhUS0uLV6cDAADiiKcfO3rppZc0derU8KeibrvtNlVUVETM2bdvX8SX9D366KP6+uuv9dBDD+nYsWPKycnRhg0b1KdPH0nSzp07tW3bNknSFVdcEXFfdXV1GjRokIdnBAAA4oFn34PzXcb34AAAEH++E9+DAwAA0F0IHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHM8DZxjx46psLBQgUBAgUBAhYWFOn78eJvHOOdUVlam9PR09erVS9ddd5127959zrnjx4+Xz+fTa6+91vknAAAA4pKngTN58mTV1tZq/fr1Wr9+vWpra1VYWNjmMfPnz9fTTz+tiooKvfvuu0pLS9ONN96opqamVnMXLFggn8/n1fIBAECcSvDqjvfu3av169dr69atysnJkSQtW7ZMubm52rdvn4YMGdLqGOecFixYoFmzZumXv/ylJOn5559XamqqVqxYoQcffDA8d9euXXr66af17rvvasCAAV6dBgAAiEOeXcGprq5WIBAIx40kjR49WoFAQFu2bIl6TF1dnYLBoAoKCsJjfr9fY8aMiTjmq6++0t13362KigqlpaWddy3Nzc0KhUIRNwAAYJdngRMMBtW/f/9W4/3791cwGDznMZKUmpoaMZ6amhpxzPTp05WXl6fbb7+9XWspLy8Pvw8oEAgoIyOjvacBAADiUMyBU1ZWJp/P1+Ztx44dkhT1/THOufO+b+a/f//NY9auXas333xTCxYsaPeaZ86cqcbGxvDt0KFD7T4WAADEn5jfg/Pwww/rrrvuanPOoEGD9P777+uzzz5r9bvPP/+81RWas86+3BQMBiPeV3PkyJHwMW+++aY+/vhjXXTRRRHHTpw4Ufn5+dq4cWOr+/X7/fL7/W2uGQAA2BFz4KSkpCglJeW883Jzc9XY2Kjt27frmmuukSRt27ZNjY2NysvLi3pMZmam0tLSVFVVpZEjR0qSTpw4oU2bNmnevHmSpNLSUj3wwAMRx1111VV65plndOutt8Z6OgAAwCDPPkU1bNgwjRs3TlOmTNGzzz4rSfrtb3+rW265JeITVEOHDlV5ebnuuOMO+Xw+FRcXa+7cubryyit15ZVXau7cuerdu7cmT54s6cxVnmhvLL7sssuUmZnp1ekAAIA44lngSNJLL72kqVOnhj8Vddttt6mioiJizr59+9TY2Bj++dFHH9XXX3+thx56SMeOHVNOTo42bNigPn36eLlUAABgiM8557p7EV0tFAopEAiosbFRycnJ3b0cAADQDrE8f/NvUQEAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYE5Cdy+gOzjnJEmhUKibVwIAANrr7PP22efxtnwvA6epqUmSlJGR0c0rAQAAsWpqalIgEGhzjs+1J4OMOX36tA4fPqw+ffrI5/N16n2HQiFlZGTo0KFDSk5O7tT7xv9hn7sOe9012OeuwT53HS/22jmnpqYmpaen64IL2n6XzffyCs4FF1ygSy+91NPHSE5O5n+eLsA+dx32umuwz12Dfe46nb3X57tycxZvMgYAAOYQOAAAwBwCp5P5/X7Nnj1bfr+/u5diGvvcddjrrsE+dw32uet0915/L99kDAAAbOMKDgAAMIfAAQAA5hA4AADAHAIHAACYQ+B0wOLFi5WZmamkpCRlZWVp8+bNbc7ftGmTsrKylJSUpMGDB2vp0qVdtNL4Fss+19fXa/LkyRoyZIguuOACFRcXd91C41ws+/zqq6/qxhtv1CWXXKLk5GTl5ubqn//8ZxeuNr7Fstdvv/22fvazn6lfv37q1auXhg4dqmeeeaYLVxu/Yv07+qx33nlHCQkJuvrqq71doBGx7PPGjRvl8/la3T766CPvFugQk5dfftklJia6ZcuWuT179rhp06a5Cy+80B04cCDq/H//+9+ud+/ebtq0aW7Pnj1u2bJlLjEx0f3tb3/r4pXHl1j3ua6uzk2dOtU9//zz7uqrr3bTpk3r2gXHqVj3edq0aW7evHlu+/btbv/+/W7mzJkuMTHRvffee1288vgT616/9957bsWKFe7DDz90dXV17sUXX3S9e/d2zz77bBevPL7Eus9nHT9+3A0ePNgVFBS4n/70p12z2DgW6z6/9dZbTpLbt2+fq6+vD99OnTrl2RoJnBhdc801rqioKGJs6NChrrS0NOr8Rx991A0dOjRi7MEHH3SjR4/2bI0WxLrP3zRmzBgCp52+zT6fNXz4cPfEE0909tLM6Yy9vuOOO9w999zT2UszpaP7PGnSJPf444+72bNnEzjtEOs+nw2cY8eOdcHqzuAlqhicOHFCO3fuVEFBQcR4QUGBtmzZEvWY6urqVvPHjh2rHTt26OTJk56tNZ51ZJ8Ru87Y59OnT6upqUkXX3yxF0s0ozP2uqamRlu2bNGYMWO8WKIJHd3nP//5z/r44481e/Zsr5dowrf58zxy5EgNGDBA119/vd566y0vl/n9/Mc2O6qhoUEtLS1KTU2NGE9NTVUwGIx6TDAYjDr/1KlTamho0IABAzxbb7zqyD4jdp2xz3/84x/15Zdf6s477/RiiWZ8m72+9NJL9fnnn+vUqVMqKyvTAw884OVS41pH9vlf//qXSktLtXnzZiUk8JTYHh3Z5wEDBui5555TVlaWmpub9eKLL+r666/Xxo0bde2113qyTv5rdoDP54v42TnXaux886ONI1Ks+4yO6eg+r1y5UmVlZXr99dfVv39/r5ZnSkf2evPmzfriiy+0detWlZaW6oorrtDdd9/t5TLjXnv3uaWlRZMnT9YTTzyhH/3oR121PDNi+fM8ZMgQDRkyJPxzbm6uDh06pKeeeorA+S5ISUlRjx49WhXqkSNHWpXsWWlpaVHnJyQkqF+/fp6tNZ51ZJ8Ru2+zz6tWrdL999+vV155RTfccIOXyzTh2+x1ZmamJOmqq67SZ599prKyMgLnHGLd56amJu3YsUM1NTV6+OGHJZ152dU5p4SEBG3YsEG/+MUvumTt8aSz/o4ePXq0/vrXv3b28sJ4D04MevbsqaysLFVVVUWMV1VVKS8vL+oxubm5reZv2LBB2dnZSkxM9Gyt8awj+4zYdXSfV65cqfvuu08rVqzQzTff7PUyTeisP9POOTU3N3f28syIdZ+Tk5P1wQcfqLa2NnwrKirSkCFDVFtbq5ycnK5aelzprD/PNTU13r5No8vezmzE2Y/GVVZWuj179rji4mJ34YUXuk8++cQ551xpaakrLCwMzz/7MfHp06e7PXv2uMrKSj4m3g6x7rNzztXU1LiamhqXlZXlJk+e7Gpqatzu3bu7Y/lxI9Z9XrFihUtISHCLFi2K+Kjn8ePHu+sU4kase11RUeHWrl3r9u/f7/bv3++WL1/ukpOT3axZs7rrFOJCR/7u+CY+RdU+se7zM88849asWeP279/vPvzwQ1daWuokudWrV3u2RgKnAxYtWuQGDhzoevbs6UaNGuU2bdoU/t29997rxowZEzF/48aNbuTIka5nz55u0KBBbsmSJV284vgU6z5LanUbOHBg1y46DsWyz2PGjIm6z/fee2/XLzwOxbLXCxcudD/+8Y9d7969XXJyshs5cqRbvHixa2lp6YaVx5dY/+74JgKn/WLZ53nz5rnLL7/cJSUlub59+7r/+Z//cX//+989XZ/Puf//jlcAAAAjeA8OAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJjzv5MkgbDqvqxCAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def load_curve(path: str):\n",
" with open(path, 'r') as curvefile:\n",
" xs, ys = [], []\n",
" for line in curvefile.readlines():\n",
" x,y = line.split(' ')\n",
" xs.append(float(x))\n",
" ys.append(float(y))\n",
" return (xs, ys)\n",
"\n",
"DATAPATH = '/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers/tailcurves/'\n",
"\n",
"def load_all_curves(path: str) -> [([float], [float])]:\n",
" cutoffs = [float(name.split(\"_\")[1].replace('.crv', '')) for name in os.listdir(path)]\n",
" cutoffs = sorted(cutoffs)\n",
" curves = []\n",
" for cutoff in cutoffs:\n",
" curves.append(load_curve(path + \"/\" + f'tailcurve_{str(cutoff)}.crv'))\n",
" \n",
" return curves \n",
"\n",
"fig, ax = plt.subplots(1,1)\n",
"\n",
"allcurves = load_all_curves(DATAPATH)\n",
"def update(frame):\n",
" ax.clear()\n",
" ax.plot(allcurves[frame][0], allcurves[frame][1])\n",
"\n",
"anim = animation.FuncAnimation(fig=fig, func=update, frames=len(allcurves), interval=200)\n",
"anim.save(\"all_tailcurves.mp4\", dpi=200, writer=\"ffmpeg\")"
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "48faebc0-2e7c-492a-87de-5974533ddaf9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"calculating oscillation 99"
]
}
],
"source": [
"import subprocess\n",
"\n",
"DATAPATH = '../result_data/cutoff_boxplots/pointsets_0.25'\n",
"\n",
"with open(f'{DATAPATH}/oscillation.txt', 'w') as oscifile:\n",
" for i in range(0, 100):\n",
" print(f'\\rcalculating oscillation {i}', end='')\n",
" result = subprocess.check_output('../psa/cmake-build-debug/psa --spectral ' + f'{DATAPATH}/pointset_{i}.txt', shell=True, text=True)\n",
" oscillation = result.split('\\n')[2].split('\\t')[-1]\n",
" oscifile.write(str(oscillation) + '\\n')\n"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "2568546e-a826-479b-93e0-9ca140e9decb",
"metadata": {},
"outputs": [],
"source": [
"def load_oscillation(path: str) -> ([],[]):\n",
" xs, ys = [], []\n",
" with open(f'{path}/oscillation.txt', 'r') as oscillation_file:\n",
" for line in oscillation_file.readlines():\n",
" ys.append(float(line))\n",
"\n",
" return (range(len(ys)), ys)"
]
},
{
"cell_type": "code",
"execution_count": 148,
"id": "95757408-6d9d-428b-a46a-9be00a862da0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f82e3598650>]"
]
},
"execution_count": 148,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x1050 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"DATAPATH_NO_CO = '../result_data/avggrads_no_cutoff'\n",
"DATAPATH_HARD_CO = '../result_data/avggrads_cutoff_0.3'\n",
"DATAPATH_TAILCORRECT = '../result_data/avggrads_tailcorrect_lin_0.3'\n",
"\n",
"\n",
"oscillation_no_co = load_oscillation(DATAPATH_NO_CO)\n",
"oscillation_hard_co = load_oscillation(DATAPATH_HARD_CO)\n",
"oscillation_tc = load_oscillation(DATAPATH_TAILCORRECT)\n",
"\n",
"\n",
"fig, ax = plt.subplots(1,3)\n",
"\n",
"fig.tight_layout()\n",
"\n",
"fig.set_size_inches(15, 10.5, forward=True)\n",
"\n",
"ax[0].set_aspect(1100.0)\n",
"ax[1].set_aspect(600.0)\n",
"ax[2].set_aspect(750.0)\n",
"\n",
"ax[0].set_title(\"no cutoff\")\n",
"ax[1].set_title(\"hard cutoff at 0.3\")\n",
"ax[2].set_title(\"linear TC at 0.3 to 0.4\")\n",
"\n",
"ax[0].plot(oscillation_no_co[0], oscillation_no_co[1], marker = 'o', markersize= 1.0, linewidth = 0.1)\n",
"ax[1].plot(oscillation_hard_co[0], oscillation_hard_co[1], marker = 'o', markersize= 1.0, linewidth = 0.1)\n",
"ax[2].plot(oscillation_tc[0], oscillation_tc[1], marker = 'o', markersize= 1.0, linewidth = 0.1)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "155bc34c-4620-4b7f-b55a-445fcca20c2d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1500x1500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from scipy.ndimage import gaussian_filter, gaussian_filter1d\n",
"\n",
"\n",
"def load_oscillations(path: str):\n",
" oscillations = []\n",
" with open(path, 'r') as oscifile:\n",
" for line in oscifile.readlines():\n",
" r_c, osci = line.strip().split(' ')\n",
" oscillations.append((float(r_c), float(osci)))\n",
" return oscillations\n",
"\n",
"def load_effnu(path: str):\n",
" freqs = []\n",
" with open(path, 'r') as freqfile:\n",
" for line in freqfile.readlines():\n",
" r_c, freq = line.strip().split(' ')\n",
" freqs.append((float(r_c), float(freq)))\n",
" return freqs\n",
"\n",
"oscis = load_oscillations('/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers/tailcorrected/oscillation.txt')\n",
"oscis = sorted(oscis, key=lambda x: x[0])\n",
"\n",
"fig, ax = plt.subplots(1,2)\n",
"\n",
"xs = [x[0] for x in oscis]\n",
"ys = [x[1] for x in oscis]\n",
"ax[0].plot(xs, ys, linestyle='None', marker='o', markersize =1)\n",
"\n",
"smoothed = gaussian_filter1d(ys, 4)\n",
"ax[0].plot(xs, smoothed, linewidth=1.0, color='orange')\n",
"#ax[0].set_yticks([0.0, 0.1, np.median(ys), 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])\n",
"#ax[0].set_xticks([0.0, 0.1, 0.2, 0.25, 0.3, 0.4, 0.5])\n",
"ax[0].axline((0, np.median(ys)), (0.25, np.median(ys)), color='gray', linestyle='dotted', linewidth=0.8)\n",
"#ax[0].axline((0.25, 0), (0.25, 0.2), color='gray', linestyle='dotted', linewidth=0.8)\n",
"\n",
"\n",
"freqs = load_effnu('/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers/tailcorrected/effnu.txt')\n",
"freqs = sorted(freqs, key=lambda x: x[0])\n",
"\n",
"xs = [x[0] for x in freqs]\n",
"ys = [x[1] for x in freqs]\n",
"ax[1].plot(xs, ys, linestyle='None', marker='o', markersize =1)\n",
"\n",
"smoothed = gaussian_filter1d(ys, 4)\n",
"ax[1].plot(xs, smoothed, linewidth=1.0, color='orange')\n",
"\n",
"ax[1].axline((0, np.median(ys)), (0.25, np.median(ys)), color='gray', linestyle='dotted', linewidth=0.8)\n",
"#ax[1].axline((0.25, 0), (0.25, 0.56), color='gray', linestyle='dotted', linewidth=0.8)\n",
"#ax[1].set_yticks([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, np.median(ys)])\n",
"#ax[1].set_xticks([0.0, 0.1, 0.2, 0.25, 0.3, 0.4, 0.5])\n",
"\n",
"ax[0].set_aspect(0.25)\n",
"ax[1].set_aspect(0.31)\n",
"\n",
"fig.set_size_inches(15, 15)\n",
"\n",
"plt.savefig(\"/home/clara/repositorys/bachelor-thesis/thesis/media/cutoff_series_tailcorrection_combined.png\", bbox_inches='tight', dpi=800)"
]
},
{
"cell_type": "code",
"execution_count": 118,
"id": "673f5eee-6ad1-4ba3-8645-3ef0a06220fd",
"metadata": {},
"outputs": [],
"source": [
"def load_effnu(path: str) -> ([],[]):\n",
" xs, ys = [], []\n",
" with open(f'{path}/effnu.txt', 'r') as effnu_file:\n",
" for line in effnu_file.readlines():\n",
" ys.append(float(line))\n",
"\n",
" return (range(len(ys)), ys)\n",
"\n",
"def load_oscillation(path: str) -> ([],[]):\n",
" xs, ys = [], []\n",
" with open(f'{path}/oscillation.txt', 'r') as effnu_file:\n",
" for line in effnu_file.readlines():\n",
" ys.append(float(line))\n",
"\n",
" return (range(len(ys)), ys)"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "7bf8a7af-188d-47d5-a0a5-6bfafd48a786",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"effnu_05 = load_effnu('../result_data/cutoff_boxplots/pointsets_0.5/')[1]\n",
"effnu_025 = load_effnu('../result_data/cutoff_boxplots/pointsets_0.25/')[1]\n",
"effnu_all = effnu_05 + effnu_025\n",
"\n",
"fig, ax = plt.subplots(1,1)\n",
"\n",
"plot = ax.violinplot([effnu_025, effnu_05], showmedians=True, positions=[0.25, 0.49], widths=[0.1, 0.1])\n",
"ax.set_xticks([0.25, 0.49])\n",
"plot['cmedians'].set_edgecolor('orange')\n",
"\n",
"ax.set_yticks([max(effnu_025), min(effnu_025)])\n",
"ax.set_xlim([0.15, 0.59])\n",
"\n",
"axr = ax.secondary_yaxis('right')\n",
"axr.set_yticks([np.median(effnu_05), min(effnu_05)])\n",
"\n",
"\n",
"# ax.axline((0, np.median(effnu_05)), (1, np.median(effnu_05)), linestyle='dashed', linewidth=0.3, color='gray')\n",
"# ax.axline((0, 0.555), (1, 0.555), linestyle='dashed', linewidth=0.3, color='gray')\n",
"# ax.axline((0, 0.545), (1, 0.545), linestyle='dashed', linewidth=0.3, color='gray')\n",
"# ax.axline((0, 0.565), (1, 0.565), linestyle='dashed', linewidth=0.3, color='gray')\n",
"\n",
"plt.savefig('/home/clara/repositorys/bachelor-thesis/thesis/media/boxplots_cutoff_effnu.png', dpi=600, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "29580e32-86a5-433c-92d2-e97484ed4308",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.axis.YTick at 0x7f912db79c50>,\n",
" <matplotlib.axis.YTick at 0x7f909f9afe50>,\n",
" <matplotlib.axis.YTick at 0x7f909fcf4250>,\n",
" <matplotlib.axis.YTick at 0x7f909ccf8390>,\n",
" <matplotlib.axis.YTick at 0x7f909ccfb350>]"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"oscis_05 = load_oscillation('../result_data/cutoff_boxplots/pointsets_0.5/')[1]\n",
"oscis_025 = load_oscillation('../result_data/cutoff_boxplots/pointsets_0.25/')[1]\n",
"oscis_all = oscis_05 + oscis_025\n",
"\n",
"fig, ax = plt.subplots(1,1)\n",
"\n",
"plot = ax.violinplot([oscis_025, oscis_05, oscis_all], showmedians=True, positions=[0.25, 0.49, 0.75], widths=[0.1, 0.1, 0.1], quantiles=[[0.25, 0.75], [0.25, 0.75], [0.25, 0.75]])\n",
"ax.set_xticks([0.25, 0.49])\n",
"plot['cmedians'].set_edgecolor('orange')\n",
"\n",
"ax.set_yticks([max(oscis_025), min(oscis_025), np.quantile(oscis_025, 0.25), np.quantile(oscis_025, 0.75), np.median(oscis_025)])\n",
"ax.set_xlim([0.15, 0.85])\n",
"\n",
"axr = ax.secondary_yaxis('right')\n",
"axr.set_yticks([max(oscis_05), min(oscis_05), np.quantile(oscis_05, 0.25), np.quantile(oscis_05, 0.75), np.median(oscis_05)])\n",
"\n",
"\n",
"#ax.axline((0, np.median(effnu_05)), (1, np.median(effnu_05)), linestyle='dashed', linewidth=0.3, color='gray')\n",
"#ax.axline((0, 0.555), (1, 0.555), linestyle='dashed', linewidth=0.3, color='gray')\n",
"#ax.axline((0, 0.545), (1, 0.545), linestyle='dashed', linewidth=0.3, color='gray')\n",
"#ax.axline((0, 0.565), (1, 0.565), linestyle='dashed', linewidth=0.3, color='gray')\n",
"\n",
"#plt.savefig('/home/clara/repositorys/bachelor-thesis/thesis/media/boxplots_cutoff_effnu.png', dpi=600, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "e8b1e71d-cabf-4d79-a974-00073edab3f6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"calculating effective nyquist frequency for cutoff 93"
]
}
],
"source": [
"import subprocess\n",
"\n",
"DATAPATH = '/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers/tc02'\n",
"\n",
"with open(f'{DATAPATH}/effnu.txt', 'w') as freqfile:\n",
" with open(f'{DATAPATH}/oscillation.txt', 'w') as oscifile:\n",
" for file in os.listdir(DATAPATH):\n",
" if file == 'oscillation.txt' or file == 'effnu.txt':\n",
" continue\n",
" cutoff = file.replace('pointset_', '').replace('.txt', '')\n",
" \n",
" print(f'\\rcalculating effective nyquist frequency for cutoff {cutoff}', end='')\n",
" result = subprocess.check_output('../psa/cmake-build-debug/psa --spectral ' + f'{DATAPATH}/pointset_{cutoff}.txt', shell=True, text=True)\n",
" effnu = result.split('\\n')[2].split('\\t')[-2]\n",
" oscillation = result.split('\\n')[2].split('\\t')[-1]\n",
" freqfile.write(str(effnu) + '\\n')\n",
" oscifile.write(str(oscillation) + '\\n')"
]
},
{
"cell_type": "code",
"execution_count": 125,
"id": "7526b23b-9964-423b-a2d3-f49b7459ff67",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 9 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from skimage import data, img_as_float\n",
"from skimage.metrics import structural_similarity as ssim\n",
"from skimage.metrics import mean_squared_error as mse\n",
"from skimage.metrics import peak_signal_noise_ratio as psnr\n",
"from skimage import data, img_as_float\n",
"\n",
"#------------------------------------------------------------\n",
"bistro_ground_truth = mpimg.imread('../result_data/result_images/bistro/converged.png')[0:128, 0:128, 0:3]\n",
"bistro_no_cutoff = mpimg.imread('../result_data/result_images/bistro/no_cutoff/averaged.png')\n",
"bistro_cutoff_025 = mpimg.imread('../result_data/result_images/bistro/cutoff_025/averaged.png')\n",
"\n",
"ssim_bistro_no_cutoff = ssim(bistro_ground_truth, bistro_no_cutoff, channel_axis=2, data_range=bistro_no_cutoff.max() - bistro_no_cutoff.min())\n",
"ssim_bistro_cutoff_025 = ssim(bistro_ground_truth, bistro_cutoff_025, channel_axis=2, data_range=bistro_cutoff_025.max() - bistro_cutoff_025.min())\n",
"\n",
"mse_bistro_no_cutoff = mse(bistro_ground_truth, bistro_no_cutoff)\n",
"mse_bistro_cutoff_025 = mse(bistro_ground_truth, bistro_cutoff_025)\n",
"\n",
"psnr_bistro_no_cutoff = psnr(bistro_ground_truth, bistro_no_cutoff)\n",
"psnr_bistro_cutoff_025 = psnr(bistro_ground_truth, bistro_cutoff_025)\n",
"#------------------------------------------------------------\n",
"grid_ground_truth = mpimg.imread('../result_data/result_images/grid/converged.png')[0:128, 0:128, 0:3]\n",
"grid_no_cutoff = mpimg.imread('../result_data/result_images/grid/no_cutoff/128/averaged.png')\n",
"grid_cutoff_025 = mpimg.imread('../result_data/result_images/grid/cutoff_025/128/averaged.png')\n",
"\n",
"ssim_grid_no_cutoff = ssim(grid_ground_truth, grid_no_cutoff, channel_axis=2, data_range=grid_no_cutoff.max() - grid_no_cutoff.min())\n",
"ssim_grid_cutoff_025 = ssim(grid_ground_truth, grid_cutoff_025, channel_axis=2, data_range=grid_cutoff_025.max() - grid_cutoff_025.min())\n",
"\n",
"mse_grid_no_cutoff = mse(grid_ground_truth, grid_no_cutoff)\n",
"mse_grid_cutoff_025 = mse(grid_ground_truth, grid_cutoff_025)\n",
"\n",
"psnr_grid_no_cutoff = psnr(grid_ground_truth, grid_no_cutoff)\n",
"psnr_grid_cutoff_025 = psnr(grid_ground_truth, grid_cutoff_025)\n",
"#------------------------------------------------------------\n",
"hairball_ground_truth = mpimg.imread('../result_data/result_images/hairball/converged.png')[0:128, 0:128, 0:3]\n",
"hairball_no_cutoff = mpimg.imread('../result_data/result_images/hairball/no_cutoff/128/averaged.png')\n",
"hairball_cutoff_025 = mpimg.imread('../result_data/result_images/hairball/cutoff_025/128/averaged.png')\n",
"\n",
"ssim_hairball_no_cutoff = ssim(hairball_ground_truth, hairball_no_cutoff, channel_axis=2, data_range=hairball_no_cutoff.max() - hairball_no_cutoff.min())\n",
"ssim_hairball_cutoff_025 = ssim(hairball_ground_truth, hairball_cutoff_025, channel_axis=2, data_range=hairball_cutoff_025.max() - hairball_cutoff_025.min())\n",
"\n",
"mse_hairball_no_cutoff = mse(hairball_ground_truth, hairball_no_cutoff)\n",
"mse_hairball_cutoff_025 = mse(hairball_ground_truth, hairball_cutoff_025)\n",
"\n",
"psnr_hairball_no_cutoff = psnr(hairball_ground_truth, hairball_no_cutoff)\n",
"psnr_hairball_cutoff_025 = psnr(hairball_ground_truth, hairball_cutoff_025)\n",
"#------------------------------------------------------------\n",
"\n",
"fig, ax = plt.subplots(3,3, gridspec_kw = {'wspace':-0.5, 'hspace':0.1})#, constrained_layout=True)\n",
"#plt.rcParams['text.usetex'] = True\n",
"plt.rcParams.update({'font.size': 8})\n",
"\n",
"for axis in ax:\n",
" for item in axis:\n",
" item.set_axis_off()\n",
"\n",
"# ground truth (converged render)\n",
"ax[0, 0].imshow(bistro_ground_truth)\n",
"ax[1, 0].imshow(grid_ground_truth)\n",
"ax[2, 0].imshow(hairball_ground_truth)\n",
"\n",
"# blue noise wo cutoff\n",
"ax[0, 1].imshow(bistro_no_cutoff)\n",
"#ax[0, 1].set_title(f'SSIM: {ssim_bistro_no_cutoff:.4f}\\n MSE: {mse_bistro_no_cutoff:.4f}\\n PSNR: {psnr_bistro_no_cutoff:.4f}')\n",
"ax[1, 1].imshow(grid_no_cutoff)\n",
"#ax[1, 1].set_title(f'SSIM: {ssim_grid_no_cutoff:.4f}\\n MSE: {mse_grid_no_cutoff:.4f}\\n PSNR: {psnr_grid_no_cutoff:.4f}')\n",
"ax[2, 1].imshow(hairball_no_cutoff)\n",
"#ax[2, 1].set_title(f'SSIM: {ssim_hairball_no_cutoff:.4f}\\n MSE: {mse_hairball_no_cutoff:.4f}\\n PSNR: {psnr_hairball_no_cutoff:.4f}')\n",
"\n",
"\n",
"# blue noise with cutoff\n",
"ax[0, 2].imshow(bistro_cutoff_025)\n",
"#ax[0, 2].set_title(f'SSIM: {ssim_bistro_cutoff_025:.4f}\\n MSE: {mse_bistro_cutoff_025:.4f}\\n PSNR: {psnr_bistro_cutoff_025:.4f}')\n",
"ax[1, 2].imshow(grid_cutoff_025)\n",
"#ax[1, 2].set_title(f'SSIM: {ssim_grid_cutoff_025:.4f}\\n MSE: {mse_grid_cutoff_025:.4f}\\n PSNR: {psnr_grid_cutoff_025:.4f}')\n",
"ax[2, 2].imshow(hairball_cutoff_025)\n",
"#ax[2, 2].set_title(f'SSIM: {ssim_hairball_cutoff_025:.4f}\\n MSE: {mse_hairball_cutoff_025:.4f}\\n PSNR: {psnr_hairball_cutoff_025:.4f}')\n",
"\n",
"\n",
"plt.savefig(\"/home/clara/repositorys/bachelor-thesis/thesis/media/cutoff_spatial_comparison.png\", dpi=600, bbox_inches='tight') "
]
},
{
"cell_type": "code",
"execution_count": 106,
"id": "da5d056b-d5e7-4b96-af85-c48cc2349016",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def load_all_forces(path: str, startidx: int, endidx: int) -> [[float]]:\n",
" allforces = []\n",
" for i in range(startidx, endidx + 1):\n",
" force_i = []\n",
" with open(f\"{path}/force{i}.dat\", 'r') as forcefile:\n",
" for line in forcefile.readlines():\n",
" force_i.append(float(line.strip().split(' ')[1]))\n",
" allforces.append(force_i)\n",
" return allforces\n",
"\n",
"def xs_from_forcefile(path: str) -> [float]:\n",
" xs = []\n",
" with open(f\"{path}/force0.dat\", 'r') as forcefile:\n",
" for line in forcefile.readlines():\n",
" xs.append(float(line.split(' ')[0]))\n",
" return xs\n",
"\n",
"force_matrix = load_all_forces('/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers', 0, 217)\n",
"xs = xs_from_forcefile('/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/utk/cmake-build-debug/src/samplers')\n",
"\n",
"max_curve = np.max(force_matrix, axis=0)\n",
"min_curve = np.min(force_matrix, axis=0)\n",
"median_curve = np.median(force_matrix, axis=0)\n",
"\n",
"fig, ax = plt.subplots(1,2, layout=\"constrained\")\n",
"\n",
"ax[0].fill_between(xs, max_curve, min_curve, alpha=0.2)\n",
"ax[0].plot(xs, median_curve)\n",
"ax[0].set_xlim([-0.01, 0.25])\n",
"\n",
"ax[1].fill_between(xs, max_curve, min_curve, alpha=0.2)\n",
"ax[1].plot(xs, median_curve, linewidth=1.0)\n",
"ax[1].set_xlim([-0.01, 0.21])\n",
"ax[1].set_ylim([-0.0004, 0.011])\n",
"\n",
"ax[0].set_aspect(0.22/5)\n",
"ax[1].set_aspect(0.22/0.0121)\n",
"\n",
"#plt.savefig('/home/clara/repositorys/bachelor-thesis/thesis/media/force_range_illustration.png', dpi=600, bbox_inches='tight')\n"
]
},
{
"cell_type": "code",
"execution_count": 130,
"id": "a63a3c10-14f0-43b0-b784-492c003160a8",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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NY6RB+AAz9ESXGbV+jFMnyRsMFgX2zMO7KzZyRGee1Ue/cRrntURRN079YEJDLAwWBeZlZWEjR3RmnBun500DbWZAiC6otwy0HO6K1I0JDbEwWBRUy2h7smxOx0mDa8QRAcDTMW6cTBM44WB8ogvG7Rkbp16S+xgsCsrLLmgAMNom14gjwvhZ9qenbNSIzhu3XrBeiYXBoqCe+jBeg3duRMCTcYNF1iOiC8atFxwqJRYGi4Lyo6KwkSPZPW8YMMYYVwWwHhH1M269OGkYaHHzCGEwWBTUEx9S8LxzI9k9qTfHf4/T8d+DKEpM03SlfeGNmDgYLArKj0riR0BKJLLj5+PXgXqzjXqLk1yIOp7WW66sk8g2ShwMFgV02jTQbHmffj9puFOhicLKrawgGzWiF9yqD8fM2guDwaKA/Gp4TJNpfpKbW3WNwSLRC6xX0cNgUUB+joHieCuS1WnTQMOlDP7j56xHRB1uZQSf1Vuc5CIIBosCOvbxbsqNMVtEYeRmgHfMYJEIANBum64lIUyT2UVRMFgUkJ8ND8eEkKzcDBYbrTaec3syIjw5baHtYjKQWXsxMFgUjJtdY3Y8c2nWGlHYuH1TxkaNyP16wHolBgaLgvG7O+sszc/KSHJpt03Xs+q15w1X348ojNyuBzUGi0JgsCiYICpG7YSVkeRyfNp0tasMYD0iAtyvB81WmxtICIDBomCCGCjPND/J5siDwO7paQtNztwkiZ00Wp4Mo2J2MXgMFgXiRdeYHQwWSTa1E2+6jJldJJl59fk/esYhHkFjsCgQL7rG7Gi02jhpMM1Pcmi3Tc8yFV4FoURhUPUoqONNWPAYLAokyArBykiyeHLagmF4swKAV40lURh41Y6cNg0uTRUwBosCOQowKxHkuYn8VPXws/60znGLJKeTRgunTe8COi/rLQ3HYFEQpuld15gdzCySLLy8MTJN3niRnLyYNNbz/szaB4rBoiCOPewas+N5w/D0rpBIBO226fm4QnZFk4yqT1mvoozBoiBEuGtiZaSoqz33fhIZ6xHJxjRNz7uJG602N5AIEINFQYgwHoONHEVd9Vnd83Oc1JmlJ7k8qbfQ9GGbWrZRwWGwKIB228RjAcYMcqwVRd0jj7vKrPOwUSOJsF5FH4NFATx+3oTRDm68Yke9yW2VKLrqLQNPTv35fD966n0Gk0gUfmTsgbN1TEVoK2XEYFEAIt0tMc1PUeXnZ7v6rAHTZKNG0dc02r6tptFuswcsKAwWBSBSgCZS4ErkJr+6ygCgZZjcRpOkcHTSgJ/3RX7WY3qBwWLAGq02jgVqVI6eNdBmmp8ixjRN/MTnruGfsFEjCfzkib+fcw7xCAaDxYCJlFUEAMPDfXOJgvL4eRMtn9cx9Ts4JQrCI5/GK3acNAycNDi23m8MFgMmYoPCOzeKmiCyfE9Pvd3+jChoT06bqDf9397S72wmMVgMlGmaQo4RZPcZRU1QN2Ui1m8itwTVVvzE52wmMVgM1PGpPwuZOvWszowIRcdp08BTn5bMOe8nT9ioUXQFdRNWO2mgZYjXdkYZg8UAidzdK2L3ONEogvwsVzlhjCKq3jIC20yi3RZvvH/UMVgMkMjdvSJfG5ETHwWY3TPa3u+ZSxSEoJew+YgJDV8xWAxIvWUItWTOeUfPuFI+hZ/RNgNfxJdZeoqioD/XP3nKhe/9xGAxIEHflQ0jQiNLNK5Hz+poBzy0iTM3KWra7eAnZzZbbRw/5xI6fmGwGJAgu8bsCsM1El1GhEDttGngyam4vQhETh2dNGD4vG5pP+yK9g+DxQC022YoBucG3c1ANI4gdm0ZhDdeFCWiBGmsV/5hsBiA6kk4xgPWm20cMyNCIXX8vIWGIEtTsVGjKBEhYw+cLfP2vMFl3vzAYDEAomQ77OA6cRRWomQ/AOAJd3OhiHhy2hTqs8wbMX8wWAyAKHdldnAJHQor0W7KRLseolGI1iaIdFMYZQwWfSbaXdkwx8/Ddb1EQLC7tgwiWiNLNArRMnm1kwaa3M3FcwwWfSZaRbODGREKGxHrWfVZPRRjlYkGEXF9YNPkbi5+YLDoszBmF8J4zSQ3EbumuEUZhZ2obYGIN4dRw2DRR6dN8e7K7GBGhMKkZbRRE3RBeWbpKcxEnfD4k6d17ubiMQaLPgprQ9Fun+2EQRQG1ZNG4Lu2DBLW7wAikdcHbhkmHocwERMmDBZ9JGoK344wzeAmuYncJcW1SymsRF8fmDdi3mKw6BOjbeJI0LsyOx49Y5qfxGeapvD7rot+fUT9iP65DXMyJgwYLPqk+kzsu7JhzjIiYi1FQnTek7o4u7YMwgwIhZHon9unXPjeUwwWfRKFMX+if1kQiZ79AIDHJ03hA1qibieNcGyrxzbKOwwWfRKFMX9haIhJbmFpLKJw80jyCEv7xa5o7zBY9MHTejTS48fPm6i3wl8Oiqam0Q7N0lS88aIw+UlIbm6OThpoh3i4l8gYLPrgUUiyHXaIunQCUfVZA2GZg3V2rSG5WJKa0TaFXbf0PINL6HiGwaIPopQaZ0aERBWmz2aj1caTOieMkfhqAq9b2g+HeHiDwaLHjLaJx8/D04gN84gZERJU2BqJMAW3JK9HIetNilJyRiQMFj1WfRauu7Jhmi0uoUPieVZvod4MV0XjkA4Kg7B9Tp+eir98VhgxWPRY2CqaHVEsE4VbGD+Tj5+He+1Vir56y8DTECYHjkIyxjJMGCx6LIyN2DBRLBOFWxg/k+02QjNxgOR09Cyck0U4xMN9DBY9dNo08CyCg9iZESGRmKYZ2kzC0Uk4G2OSQxhvwgDehHmBwaKHahFtCJgRIZE8qbfQMsJ588J6RCIL6+fzpGFEYm1jkSScPFnXdZRKJWiaBl3Xsb6+DlVV+z63UqmgXC4DAPb39/HOO+9Yz73sfSqVCgAgm81C13XUajVks1nH5xdBWO/K7Dg6aeLa1XTQl0GEWki7ygDg8fMmjLaJeEwJ+lKIepw2DZyEYIu/QWonTXxiNh70ZUSGo2BxdXUVBwcHAM4Ct7W1NRSLxb7PLZfL2NzcBADs7Ozg1q1b1msve5/d3V3cvXsXAJDL5Xre38n5RRDWuzI7olw2CpewdkEDgGme1SXeeJFowt4zVn3WwCdmJ4K+jMiw3Q2t63rPz5qmWZnD8yqVCra2tqyf8/k8KpUKdF0f+j6Li4s4OjrC0dER9vb2erKRds8vgnor3HdlwxyfNrmtEgUuzOMVO2rccYIEFP56Fe7rF43tYLFcLiOTyfQcy2QyVrdxt2w2i3feecf6uVarWc+38z6qql7oXnZyfhE8HuGurN40Rvuva7/memvE93A4vqPdPgsYiYJ00jBCO16xI+wZHIqmsH8uT+oG11t0ke1u6E7Ad161Wu17PJ/PW/9+9913kcvloKrq0Pep1WoolUoAzsY6bmxsQNM0R+ev1+uo11/s5nB8fNz3tV4aJVvwG7/3wdjnfbP47ZFf+5W/t+To+bWTJtSp1MjnIxpXFLJyx8/PsvQxjlskQTSNdiRW8qg9b+DlaXZFu8HRmMV+BgVx3Y+XSiVrrOGw9+metKJpGlZWVnB4eOjo/FtbW/jt3/7tS8/nNRk2M5ehjCS2KIydNdomntRbmJ1MBn0pRACi893++KTJYNEltoNFVVUvZPGq1erQ2ciFQqFn7OGw99F13Zr93Jn1rOu6o/PfuXMHb775pvXz8fEx5ufnbZTSHe22iScjdNF++XOvj3S+esuwMopvr34K6YQ/M8Ci8oVC4XX8PPzZD+Asu8hgkURxHJHvdg6Vco/tMYu5XK7v8aWlwV2XOzs7KBQKVjdyrVa79H0qlQpu3bp14bFMJuPo/Ol0GjMzMz3/+elpozXSftDpZHy0/7qCw3RixPdIOg8wG60217KiwLQi0lUGsFEjsUQlEXD8vAXTDPeYZlHYDhY1Tev5Wdd1LC0t9ayP2D1juVQqIZvNWoHivXv3oKrqpe+jaRq2t7etx8rlMvL5/NDXiSYqd2V2sJGjoByHcM/aQaLSOFM0RKVuGW0TzyK8KomfHI1ZLBaLKBQKWF5exv7+fs8ah1tbW1heXsbm5iZ0Xcfq6mrPa1VVxfr6+qXvo6oqlpaWsLOzA1VVcXh42HOOy84vkqh0jdlx/LyFl6eDvgqSUZRuyk7qBlpGG4k4N9WiYD1vGGhGaBbx8fMmrqbHnp4hPcWUIEd7fHyM2dlZPH782Jcu6f/3e1VfG7J607BmUn/5c6+P1KU8quvTafzP86pv5yPq+NOHj/EXx6eevb/f9WrpZ+a4ugAF7sPjU3z74WNPz+Fn3ZrPTOEvf8L/jMbDhw8xPz+PBw8e4MaNG76f320Mt11mmmZkxlHZ8TQi3RUUPk/q0cksAsCT0xaDRQrck4i1X6NMNg2CH9spd167trY2dIWa8xgsuux504Ah0c4mp012n5H/WkYbJ/VojUV6whsvEkDUPodP6meTXBRF7HVM/dhOuRNEjrKZCVt4lz2N2F2ZHc8i1miT+KL4mQtLBoSiLWq9RYZh4rngq3b4tZ1yPp+3liZ0iplFl0Ut22HHs0YLs1NcI47887Rhv0FzupWl9bpz22iOyu54rJOGEYoMCEVXy3C2HFpY6tbTegtTKXHDncu2Mz4f3F22nfK9e/dsv49T4v72QupEwmn6MpaZguVkXHBYttE02mcZEJEbNYo2pxn7sNStZ3UDCGjVjidPnvRsOZxOp5FOp3ue49d2yuNgN7TLThxkPKJCxjJTsKI63COq5aJwcJKxD5MgJ53evHkTs7Oz1n/dXcjD2N1OedgygsPexw7ewrpM9LERXnjOzCL5zMlwjzBto3kSYAaE6MRhUBWWuhVksHj//n28+uqr1s/ns4qAf9spj4PBoovabRP1ZnQWM7VLxgCZgmO0TUfjqtxYw62zjabXOKSDguR0t5Ow1K2TANuo6enpoes753I57O7uXjjuZDvlUd/HLnZDu+h0jIG6YdYyTLQM+YJkCkaUhz08b0a3bCS+qNYtwzDHmkjjNT+2Uz7Padc0M4suOpUwq9hx2mrjKtdaJB9EedhDFJcEonAwTWcZ+7B53jB8GUoyKq+3UwbOZl3v7e31vGf3ZJnLMFh0kch3Ll6rNw3uv0m+iPKwh0arDaNtIh7j8jnkr3qrjXaE8x0nDQPqVNBXMZimadje3gaACwFcd8CnaRou26X5svfJ5XLI5XLW404wFeSiRoQ2X3eqwW5o8kmUg0UAkc7ukLiinLEHWK/GxWDRRXWJg0UZJ/ZQMKI+3CPqwTCJKepj7lmvxsNg0UUyZxabzCyST6KeAYl6+UhMUf/cMbM4HgaLLpI5YGI3NPkl6hkQmXsoKDhRz9iz92s8DBZd1DQGDzqNOpnLTv5pGW0YEf+syTxRjoIT9c8db8LGw2DRRTKvNShz2ck/MmSw2ahREKL+uTPaptS9f+NisOiiVjvaGY/LyFx28o8MXUkcW0VBiHqwCMhRRq8wWHSRIXHAJHPZyT8yZBY5pIP8ZpommhIEUjJPQh0Xg0WXmKYpdcDEzCL5QYYv+2arfemiu0Ruk+EmDJB7Euq4GCy6ROZAEQDakpef/CFLoyZLOUkMsmSzZbjZ9AqDRZfIHivJHiyTP2T5spel8SYxyFKveBM2OgaLLmmz24jZRfJcS5IgSobxYyQOWVazkOX7wwsMFl3CYJG/A/Jesy1HoyZLOUkMTUlu9DlmcXQMFl3COAngr4C8JktmQJZykhhkySwyWBwdg0WX8KudATN5T5ZGjcEi+UmWMbJctWN0DBZdwqUu2A1N3pPly77FbmjykSwTFHkTNjoGi0QUGrI0arKUk8Qgy80JExqjY7DoEn4Eibwl08L3smRQSQysVzQMg0UiCgVZGjRArrJS8GT5vBmSZFC9wGDRJUrQF0AUcYZEXUjsLiM/yfJ5a7c5v2BUDBbJNQojZvKQTEkBWTI9JAZJFhkAwN3WRsVg0SUKIyUiT8mVWQz6CkgmMt2cyFRWNzFYJNco7IwnD8nSVQbIVVYKnkxds6xbo2Gw6JIY4yR2Q5OnTJm6ypj9IB/J9HFjrDgaBosuYVYNiDFaJA/JlBGQqfGm4MlVt+Qpq5sYLLqEcRJnhJO3ZPqSl6lbkIInU92SqaxuYrDoEgaL/B2Qt2T6ipeprBQ8meInZu1Hk3DyZF3XUSqVoGkadF3H+vo6VFUd+PxKpYK1tTUcHBxceJ9yuYxMJgNd15HP56Fpmq3HnJzfT7J3QysKZ4STt2TKCMhUVgqeKdPtiURFdZOjYHF1ddUK/HRdx9raGorFYt/ndoK6SqXS97HNzU3r542NDezu7g59zMn5/Sb7BBeOVyTPSfQlz1iR/CTT502qwNhFtruhdV3v+VnTNJTL5YHPz+fzyGazfR979913B75u0GNOz+83N4KlmPFspP/i7RNMKqeYVE4Rb5+M/D5jYaxIHpPpK16mslLwZAoW2Q09GtuZxU7XcLdMJoNKpTIwKBwkk8lgcXERxWIRuq5jZWVl6GNOzl+v11Gv162fj4+PLxyPxWJIJpNoNptod20NEY/HkUgk0Gg0egaZJxIJxOPxC8eTySRisRgajTpazcaL90kkACgwWs2ea4snkgBMGK1Wz/FEMoXPfPvn0GwnrWOKYiIVa8Aw42i1E13H20jFmmi14zDMs+P/6SYQUwwk/2sLzXYCbTP+4pxKC4mYgUY7CdN8cX+QiLUQVww02imYpoI//NSfffw7SECJxXrKM6xMiome3zkApNNptNttNJsvnq8oClKpFAzDQKvrd9A53mq1YBiGddztv9P5a0wmk1AUBY1Gb1lTqRRM0+y5dpYp2DK122afz+Tg+mS22zCM3muPJ5Jotw20u67dOm4YaLdfHG8bZ9cVRxtGs4EW4h+XNY5YPA6j1ey59lg8jljs4vFR6lPbMFifWCZfymSaL+qVl/VJicUQjydgGC0YzSaSOHusbRhA0tv61F2m+ukp6gnT879T1NgOFmu1Wt/j1WrV8UmLxSJu3bqFhYUFrK+vW93Mlz3m5PxbW1v47d/+7QvH3377bUxMTAAAXn/9dXz2s5/F17/+dXzwwQfWcz796U/jM5/5DO7du4fDw0Pr+K/92q8hm83iK1/5Cj766CPr+Oc//3m89tpr+J3f+Z2eL5PX/+YbSE1dxZ/8m3/ecw1/9e/8fTROnuKDf3/POhZPJPFLf/cfQD/5WXz1h/+7dfyl1If44k//M3zr+K/gax9+1jq+MPXn+MKr/xLfPPplfKP6mRfnnKngs6/8Pr7+0d/CB8cvAuhPZ/4In7n2R7j3o9s4PHntRZle/n1kZyv4yoN/iI8aLwP62bXe/OVfxdwn5vH+v/0XPRXvsjK1Tk7w1lv/l3UslUrhzp070HUdX/3qV1+U6aWX8MUvfhHf+ta38LWvfe1FmRYW8IUvfAHf/OY38Y1vfOPFOV3+O7399ts9f6df//Vfx+zsLN56662eMv3mb/4mHj9+jN/93d9lmQQpUwMpR/Wp9uEPcP8//jvr+OTMHLK/chsffv+7ODx4ce3qKzfwC3/jb+Phdyp4cP/F+OrrP/2XAUzjl5L/HR/8uxfDaeZvLuKnfmEZ3/njP0DtLx6++N0sfhqf0H4e33rvX+H58ZF1fJT6VK8/w1tvvfheDNPfKYqfPVnK5GV9evln/0f83NJnoH/wTXz4ve/gC5Nnx3/0XQXap/4XT+tTd5n+xKe/02uvvWhro0Axba7RsLOzg729Pezt7VnHFhYWsL29jXw+P/gEinJhGYhSqQRVVaHrOjY2NnqCwkGPOTl/v8zi/Pw8PvzwQ8zMzADw5s7tP3z3I2sroVEyi0rzyUh3bo2WiTv/+k9hQsH/+cbriCttmF1lspsJacevfPw7cH7nNpmMYfmnZ3uOh+0Ou1tUsgZRKtOPHp/iT//7o57jXmZCmoaJ/+PenyKONn4n/4tIJf3LLMYV4K8vzPUcD8vfKYqfvSiXyWib+A/fPQsw/cos1utN/KPStwEAb7/xOiYnUr5lFj91YxbXrqY9/zv9+Mc/xvz8PB48eIAbN24g7GxnFlVVvZDFq1arjmcj67qO/f19bG9vAwByuRwWFxdRKBQAYOBjTs6fTp99EOwcTyaTF54HnH0RODmeTqeRTKWgGL2BcSLZ7/lK3+Nmchqxc5fTBoA4Bh8HoDQNPDHPAj0jNoVEMn5hCGEbgBK/OLSw+/j5Aaz9r73/8Vg81vd3Hov1Px6Px/um6hOJBBKJix9LN/9Odo8risIyiVQmpX+9GVSflFgMiVifz2rsrBG6cDx+FgR2GB93kxmIIZ5MIZHsfc1ZI3TRoONO6hNi/X8Hofg7DTge6s/egONRKFPLaJ/7DHpTnzri8QTiSQXNzrCOj5/jaX3qKlMy9SIO8PrvFCW2J7jkcrm+x5eWlhydsFKpYHl52fpZ0zTcuXMHtVrt0sfcOr+XZJ4RLHPZiYgoHDgbejS2g8XOWocduq5jaWnJyuxVKpULM5Y7uscbZrNZ7O/v9zz+6NEjZLPZSx8bdn4RyBwwyVx28gd3NSFyH2sV2eFoncVisYhCoYDl5WXs7+/3rHG4tbWF5eVla43EcrlsjS/sPNZZYHtlZQU7OztWoLexsQEAlz427PwikHmtRZnLTuQ2xsVEHmHdGontCS5hdnx8jNnZWTx+/Nia4OKF/+fwEZ7VW8Of6LJ608Bv/N7ZTKwvf+51pJP+T9ufu5LC4k/PDX8i0YgeVE/w3378xLfzBV2vcjdf8fV8JKdGq21NcPFLkHXrF2/M4pWZCc/P8/Dhw0hNcOHe0C6SObsmc9mJiMKKY/jIDgaLLopJHDFxzCJ5Lfp9IL0k6PQhAcj2MZOtvG5hsOgiiWNFBotELmOjRkSiYLDoIkXigEniopNPZOsuk6u0RP6Q7XvELQwWXSRzdk3mspM/mGkjcp9s9Uq28rqFwaKLpO6G5ieJPCbbdzzHLJIfZMu0yVVa97CJd5HM2TWZy07+kC14kqu0FBTJqpV03yNuYbDoIpnjJZmzquQP2b7i2aaRH2T7mLFejYbBoosUyBwxyVx28oNsX/KydQ9SMJhpIzsYLLpI5nF7zCyS9+Rq1NiGkx9k+5i1WbFGInF44z6Zx+3JXHbyR1uy73i2aeQHsx30FfiL9Wo0DBZdJHN2jcEieU22L3lmQMgPsg13YL0aTSLoC4gWeQMmxorkNdm+5GUrLwVDtoy9qOXVdR2lUgmapkHXdayvr0NV1YHPr1QqWFtbw8HBwYX3KZfLyGQy0HUd+XwemqaNdI5uDBZdJHNmkcEieU224Emu0lJQZKtXotas1dVVK/DTdR1ra2soFot9n9sJ+CqVSt/HNjc3rZ83Njawu7vr+BznMVh0kdzb/clbdvLHqG1azHg20uvi7TYmldOP/32CmDHaqJ12/MporxM1BUKRMk6wGMa6JWK10nW952dN01Aulwc+P5/PD3zs3Xff7QkWRz3HeVIFi/V6HfV6HQAQi8WQTCbRbDbRbr8Y4RuPx5FIJNBoNHqWFEgkEojH4xeOJ5NJxGIx1Ot1tJp1tJqNs/dJJAAoMFrNnmuIJ5IATBitVs/xRDIFs92GYbw4rigK4okk2m0DbcO4eNww0G4bMJoGkjDQ/rgb3DBaMLvKFIvFEYvHYbSaPdcei8cRi108Ho8noMRiVlleXPslZTLb1u+2I51Oo91uo9l88XxFUZBKpWAYBlqt1oXjrVYLRldZvfg7dUsmk1AUBY1Gb1lTqRRM0+y5dpYp2DIZ7Xafz+Tw+vS/fvvmx9duIhVrwDDjaLVffPUpShupWBOtdhyG+eJ4TDHwX3+xhWY7gfZ/jr84p9JCImag0U7CNF80colYC3HFQKOdgmm+uHn6D69/z3l9gonT0zrq8Re/m7D8naL42Ytymeqn3e2Ws/Yp958XHNWnZOzj+mTG8Z9uflym/+KsPiVjTcSUNupGGn/4qT978bux2eaensZQr6c8/zt1PHnyBMfHx9bP6XQa6XS65xo73cbdMpkMKpUKstksnMhkMlhcXESxWISu61hZWXHlHFIFi2+//TYmJiYAAK+//jo++9nP4utf/zo++OAD6zmf/vSn8ZnPfAb37t3D4eGhdfzXfu3XkM1m8ZWvfAUfffSRdfzzn/88XnvtNbz99ts9Xyav/803kJq6ij/5N/+85xr+6t/5+2icPMUH//6edSyeSOKX/u4/QO3DH+D+f/x31vHJmTlkf+U2Pvz+d3F48A3ruPrKDfzC3/jbePidCh7cP0spf2ES+G7rOoBF6B98Ex9+7zvW8+dvLuKnfmEZ3/njP0DtLx5axxcWP41PaD+Pb733r/D8+Mg6fvOXfxVzn5jH+//2X/RUvMvKdHxUxVf+6YvjqVQKd+7cga7r+OpXv2odf+mll/DFL34R3/rWt/C1r33txbUsLOALX/gCvvnNb+Ib33hRVq//Tr/+67+O2dlZvPXWWz1l+s3f/E08fvwYv/u7v8syCVKmer09Un36E9w5K1PqQ3zxp/8ZvnX8V/C1Dz/7okxTf44vvPov8c2jX8Y3qp95UaaZCj77yu/j6x/9LXxw/OLL9NOZP8Jnrv0R7v3oNg5PXntRppd/H9nZCr7y4B/io8bL1vGbr/7AcX1qnDzFbumudSxMf6cofvZkKZPT9ulXXoHv9enz/8O/wGtXDvH2999EQ39Rd5y0uX78nV577awsN2/e7LmeL33pS/it3/qtnmO1Wg39VKvVvscvUywWcevWLSwsLGB9fd3qgh73HIopwYqcx8fHmJ2dxYcffoiZmRkA3ty5/eDoBN/9i6dn7+NjZrHRNPCPSt9GGwr+6ecWkYiZvmcWf/HGDOYm4j3Hw3aH3S0qWYMolany34/wk8cnPcft1KdOV5nd+tTRagP/6P/+L4ijjbf+7v+EVEL5uKzO6pOSmh0ps/jzL0/hpZkJ63hY/k5R/OxFuUwPj07wZ1a75ax9SioN2/VJicUQjydgGC3UGwbu/Os/BQBs/29/BRPp5EjtU3c3tN029+XpNH7h1VnP/04//vGPMT8/j/v37+PVV1+1HuuXWdzZ2cHe3h729vasYwsLC9je3r60y1lRlAuLqpdKJaiqCl3XsbGxYQWMo56jQ6rMYr8/UjKZ7PvcVCrl6Hg6nUZ6oo1EsvcLJZHs93yl73ElFkMidvF4LHZWaS4cj3/caMFAE13dZPEEcPHpH1ca+8f7X3v/4/FY/MLv9uzaY32Px+PxnlS99d6JBBKJix9LN/9Odo8risIyCVQmc0C9GVqfuh5rA0AciJ27TOt49/maBp6bZ8Gakp5FLBnveb4Sv7j+waDjgLP6BCiIp1IXfg9h+DsNOh7mz96g41EoUzJpnGu37LdPbSRt16fOcSUOKIqBJ+ZZoGcmp9GOx23XJ/Pj/2LxK33X/hv2HRFLvqhXXv+dAGB6etpKUg2iquqFDF+1WrU9U7lD13Xs7+9je3sbAJDL5bC4uIhCoTD2ObjOootkng0tc9nJH4aII9M9JFt5KRhG9DsXe4hYr3K5XN/jS0tLjt6nUqlgeXnZ+lnTNNy5cwe1Wm3sczBYdJHMe0NzNjR5TcQveS919WoRecaQ7IMm4lJBnXUQO3Rdx9LSkpX1q1QqF2Yzd3SPRcxms9jf3+95/NGjR8hms0PPMYxU3dBekzm7JnPZyR+yBYstyRpxCoYh2cesZYj5PVIsFlEoFLC8vIz9/f2e9Q+3trawvLxsLYlTLpetsYedxzqLb6+srGBnZ8cKAjc2NmydYxipJrg8fvx46NiBcXz0pI5vPah59v6D1JsGfuP3zmZifflzryOd7DNg0WPLP5vB7OTgcRtE4/rD73zoa8AYdL36metTeO3laV/PSfL5Lz98jB/VTn09Z5B1azIVx19/7brn53n48CHm5+fx4MED3Lhxw/PzeY3d0C6SObsmc9nJe6ZpSphZlKu8FAzWK7KDwaKLYhKP25O57OQ9Gb/gRe0uo2iRrW7JNkbTLQwWXSRzwCRx0ckHsmU/ADnLTP6T7XPWbnMrzVEwWHSRIvFvU+ZAmbwnW/YD4AQX8oeMGewm65ZjEoc37pM5YJK57OS9lmxTNgE0JWzEyX8y3pTIlk11A4NFF8k8yUPmspP3ZMwsskEjP0iZWZSwzONisOgimbNrMpedvCdngyZfxof8JeMqA4CcPRXjYrDoIlkDJkUBYkwtkodkDJxahgkJlsGlAMmaYZMxQB4Xg0UXxSUNmGQNksk/MnZDA/KWm/wh43hFAGiyXjnGYNFFksaKzCqS52TtNpKx+538I2tmsdmS8/tkHAwWXaQoCmIS/kbjzCySxxqSBotc4oO8JOPwDkDejOo4JAxtvCVjl6yMATL5S9YMGzMg5CVZ61WjJWe5x8Fm3mUJCSMnZhbJa7JmAjhmkbzEzCLZJV9k4zEJY0Uk4gwWyVuyZgJkbczJH7J+vmQdqzkOCUMbb0mZWZSwzOQvWTMBbNTIS7JmrmUNksfBVt5lMi6fk5CwzOQvWb/cZS03+aMh6ZhYWcdqjoPBostkDJxknNRD/jHaJiRNLDJYJE9Jm1mU9QtlDAwWXSbj+L1UQr4yk39kDpiYASEvybp+qWGYaEsaKI+KwaLLknH5fqUcs0hekjX7Acg7VpP8Iev6pQCzi06xlXcZxywSuUvW7AfACS7kLZkz1zKXfRQMFl2WlDDLJmM2lfwjc8DEBo28JHPmmnXLGbbyLktKOH4vKeE4TfKPzA0au8rIK22JJ44BrFtOMVh0mYxZtmRCvjKTf2TOABiGCdOUt/zkHdmDJZm/V0bBVt5lMgaLKQnLTP6ReYILwPKTNwzJP1cy91iMIuHkybquo1QqQdM06LqO9fV1qKo68PmVSgVra2s4ODi48Fi5XIau69A0DQCQy+UAAKVSyfr3+ffWdR3lchmZTAa6riOfz1uvF0Vawiwbg0XykswTXICzRj0ZD/oqKGpkHgsMMFh2ylGwuLq6agV+uq5jbW0NxWKx73M7QWWlUrnwWLlcRrFYxO7uLnRdx8rKCg4PD61znLe9vY3NzU2USiVsbm5axzc2NrC7u+ukCJ6TLXCKxxXEOBuaPCR7Zk328pM3ZA+WWK+csR0s6rre87OmaSiXywOfn8/nBz62sbFhBZ2apmFvbw8AUKvVUCwWe167s7NjBYjvvvtuT7AoolhMQTyuwBjhrq3eNEY6Z71l9P23U+kR0hdpyYJj8p/0jZrkmVXyhuzdsLJ/rzhlO1jsdP92y2QyqFQqyGaztk+o6zqq1SpUVUWlUoGmaT1dyd2BYqlU6vk5k8lgcXERxWLRykj2U6/XUa/XrZ+Pj49tX58b0okYTgznQdtv/N4HY5/7zeK3R37tV/7ekuPXpJMMFslbsn+py15+8obksSInuDhku6Wv1Wp9j1erVUcnrFQqyGQyVjf13bt3USqVAPSOUazVaqhWqz2BZKfLe2Fh4UIGstvW1hZmZ2et/+bn5x1d47jSCXkGGMlUVgqGIflsYMaK5AXWK7nL75SjMYv9DAoiB6lWq9B1HblcDqqqYn19HXNzcxeWhygUCtje3u45Vi6Xsb29DV3XsbGxAQB9xyzeuXMHb775pvXz8fGxrwHjxIjZti9/7vWRXldvGVZG8e3VT/kawI1aViK7ZN/DlY0aeYH1Su7yO2U7WFRV9UIWsdOd7ISmaVBV1Xpd5//d3dm1Wg3lcrnnvXVdx/7+vhVA5nI5LC4uolAoXJgRnU6nkU6nHV2Xm0YN1kYZM9jv3G68j5PzEXlJ8jaN3dDkCdmDJdYrZ2ynhTrL2Zy3tORsnJudpW7ef//9C0FopVLB8vJyz/vcuXPHcWbTD5MpeQKoCa7pQR6TvVGTu/TkFdljJcmL75jtYPF8kKfrOpaWlnoyg+dnTHd0B3SapmFpack61llrsXuSTGdcY7dsNov9/f2eY48ePXI0ucYvExKttchuaPKa5LGi9N2F5A3ZdwaSvfxOORqzWCwWUSgUsLy8jP39/Z41Fre2trC8vGwtbVMul60lcTqPdSakdN5ncXERBwcH1vO6nQ9ONU3DysoKdnZ2rAC1M25RNDJlFieZWSSP8UudyH2y34Pwa8UZxZTgm/j4+Bizs7N4/PgxZmZmPD9fu23iD//bh759GOtNw1p258ufe923MYvJRAyf/uRLvpyL5PXHf/4TnDRGXz90VEHVq/M++co0furaVCDnpuj68w+f4vs/eRbIuUWoW7NTSSz/TGb4E0f08OFDzM/P48GDB7hx44Zn5/EL+xA9EIspUmTcrkiUQSUKisINkohcx2rlDINFj8jQFS1DGUkA/FYnch1vQsgJBoseuZIeewlL4U2lol9GCp7CaJHIdbLXKgbLzjBY9MiUBFm3K+nol5GCJ/uXuuzlJ28okn+wZC+/UwwWPXJVgsyiDGWk4MVjcn+py15+8kZc8mBJ9vI7xWDRI1Hvho7FuGwO+SMm+Zc6GzXyQkzy1l/27xWnJP+4eCcZj0V6d5Or6STT+OQL2TNrMcnLT95gvQr6CsKFvy4PXZ2IbnaRXdDkl4TkjZrs5SdvyB4sJhgtOsLfloemIxwsRrlsJJZkXO6vKdnLT95ISh4sJeNyB8tOyf1p8ViUA6qZiWTQl0CSSEj+pS57+ckbyYTczT9vwpzhb8tDUQ2oFCXagTCJRfoMiOTlJ2/IPryBwaIzbPE9NJGMI52Mod5sB30prrqaTnDQPfkmJXEGJBFXWNfIEynJgyXRvld0XUepVIKmadB1Hevr61BVdeDzK5UK1tbWcHBwcOGxcrkMXdehaRoAIJfLjXSObgwWPTYzkcRHzXrQl+GqmcloZkxJTBNJsb7U/RTlFRUoWLGYglQihkYrWskMu9KCBYurq6tW4KfrOtbW1lAsFvs+txPwVSqVC4+Vy2UUi0Xs7u5C13WsrKzg8PDQ8TnOY7DoMXUqiY+eRCtYVKcYLJJ/0gl5AybRGjSKlolknMGiAHRd7/lZ0zSUy+WBz8/n8wMf29jYsAJCTdOwt7c30jnOY7DoMXUyFfQluC6KZSJxjfulXm8ao72uZfT9t1PpMbKDMgfK5D1Z61Y8riAhUDd8uVxGJpPpOZbJZFCpVJDNZm2/j67rqFarUFUVlUoFmqZZXdHjnoPBosemJxKIxYB2RG7eUokYJiXY95rEEYspY439/Y3f+2Dsa3iz+O2RX/uVv7c08mtZ18hL436+wlq3/Nx97MmTJzg+PrZ+TqfTSKfTPc+p1Wp9X1utVh2dq1KpIJPJoFQqIZfL4e7du9A0Dfl8fuxziBNaR1QspmA2QmP85qaYVST/TUkaNF2RtNzkD1m3bL2S8i9PdvPmTczOzlr/bW1t2X7toABvkGq1Cl3XkcvloKoq1tfXsbq66so5mFn0gTqVwtGzZtCX4QqOV6QgTCYTOMJodejLn3t9pNfVW4aV9Xh79VOBdAkzs0heGvcmLKx1y896df/+fbz66qvWz+ezigCgquqFDF+nO9kJTdOgqqr1us7/K5XK2OdgsOiDzFQK38OzoC/DFZkrzCyS/66kxxj350L2JJ2Iu/I+Tsma+SF/TI2ZYQtr3fKzp2J6ehozMzOXPieXy2F3d/fC8aUlZ93snfGJXpyD3dA+mJ1MRmLT8lQihivcE5oCIOPnbjIVF2oQPkXPRDKGuIQ7BIn2fXI+yNN1HUtLSz2ZwfOzmTu6u5E1TcPS0pJ1rLPWYjabHXqOYcT6jUVULKZAnUqh+rQR9KWMhVlFCspVwb7c/SBjmclfiqLgajqBxyfRGCZlh6KIWbeKxSIKhQKWl5exv7/fs/7h1tYWlpeXsbm5CeBsZnNnSZzOY53ldDrvs7i4iIODA+t5w84xjGKapulGQUV2fHyM2dlZPH78eGg62Cv/36Nn+LO/eOrJe9ebhjUr7cufe92zlP4vvDqDvzQ76cl7Ew3zR//tQ7QM/76u/KpXg/zsS1ew8NJVX89J8vmvPzrGD46e+3rOIOvWVDqOv7Zw3fPzPHz4EPPz83jw4AFu3Ljh+fm8xj4On0QhKxeFMlB4TUd0r/VBpgXMflD0TE/I9TmbTsv1PeIWBos+mZ5IIh3ibcuuTiS4QDAFanZSrkaN22qSH2T7nM1I9j3ilvBGLyF07crFKfNhcf1qeK+dokGmRi2djHFfaPLF1VQiEhMw7YrSusd+kugjErzrV8PbjRvma6domJGoG1qmslKwYjFFms+bosg3nMUtDBZ9lLmSCuUdXCIerV1oKJwmknFpsm2sb+QnWT5v0xNJxGPyLRXkhhCGLuGViMeghnC7vOtX01AUVjAKniw7CHFbTfJTGNulUcxJ8v3hBQaLPnsphGP/XpoO3zVTNM1JMCM/Hlekm6FKwVKnkpAhHyBLUOwFBos+C1vgpShcMofEIUNm4GzHJwlabhJGMh4TcqFqt8nSM+EFBos+m0jGcTVEWYO5KykkueUYCWIqlYj8uMUMsx8UgKgnBWYmk2zLxsDfXABeDlF2MUzXSnK4FvGZ+VEvH4npWgiHSDkR9WDYawwWAxCmrmiur0iiuRbhL/10MsalPSgQ6mS0Zwpz+bfxMFgMwPREElMp8bvSZqeSke/yo/CZu5KK7GB8Zj8oKLGYEtkJZFz+bXwMFgMShuwiu6BJRMl4LLID1cO4WgJFR1Sz9teucPm3cTFYDMjL0xNBX8JQYbhGktNLV6P32YzFmFmkYIUhiTGKqJbLTwwWAzIzmUA6Ke6vf3oigckQdJWTnK5PRy+omptKIcHZmhSgiWQ8cmt8KgonjbmB30wBURRF6MzdyzPiXhvRVCqBKxFbF46TyUgEUcvCqVNcMscN/A0G6JUZcSulyNdGBESvUYtaeSicovY5FDkpEyYMFgM0O5kUsiv66kQCU6loZW0oeqJ0Q6Ny5QESRFhW67ArasFvUMSLVCSiKIqQH2TOgqYwiFKjxuwHiSQqw5C4/Jt7GCwG7BUBG4lXIvJFQdH3ckSyi1EpB0VDVD6PTHy4h8FiwNSpJFIJcf4MV9LRmzhA0RWFDAi7oEk0MxHJ2jPx4R5xohRJidYVHZU7SpLDzEQSU+lwN2ps0EhEYb8R402YuxgsCkCkxkKkayGyI8yfWUXhDRqJ6ROz4a1XQLi/F0TEYFEAc1NJJAXoip5Kx3GVXdAUMp8IcaOgTqWQTjD7QeK5GuIhSbwJc1/wEQqddUULsCAvZ2RSGF1JJ0K760TYszcUbX8ppJ/PuSu8CXMbg0VBiLBmnAjXQDSKMAZdsRhna5LYwlivgPAGuSJjsCiIs31hlcDOP5mKY3oiGdj5icYRxvFJ16+muQ0ZCW0iGYc6Fa52IR4To6cuavhNJYhYTAl0b1hmOCjMJpJxzF1JBX0ZjoQ1a0NyCdvn9KXpNBK8CXMdf6MCCXJALscrUtiFqespEVdw/Qpv0Eh8r8xMIBaiSCFswW1YhOgjEH3XrqQRj/nfFZ1OxjAzGc4JAkQdL08HU39GcdYAh+NaSW7JeCzQXi8nkokYroWshyEsGCwKJB5TcO2q/x/0l6bTUBQ2XBRuiXhMqAXuLxOmLChRWLJ1n5iZYFvmEQaLggmiseNgYIqKMDRqk6k41ClmPyg8rl9JBzoB064w1P+wYrAomOtX0/DzxigeVzDHhosi4tqVlFB7rffDBo3CJhZThF9xYCodx+xkuGZuh4nY36oSSsZjvi5VcP1KmmOnKDIURRE+GGMXNIWR6J/bvzQ7GfQlRBqDRQG9dNW/ShmWMV5EdokcLM5OJTGV4mQyCh91KoWplLi7oogezIYdg0UBXZ/2p1tYURDIhBoiL81MJIXd0zbM+1gTvSJoQDZ3JYmJpLiBbBQwWBTQVCqBqbT3H3x1KskdJCiSRMwuKko4d5oh6hA1e/cJdkF7jpGCoPyYoXyNiwJTRInYqF27mhZ+8g3RZaZSCcwKtv0f91j3B7+5BHXNh2DxOisYRdTZ9n9iNWoiBrBETok2lIJ7rPuDv2FBqZNJxD1c12oiGcdVQcd1EblBpC7feDzYvd+J3PLKzISvy7sNI+KQkyhisCioWExBxsP1DzmxhaJOpD1tw7QVIdFlUokYMoJsqcc91v0jyFcp9eNlheT+mRR1yXhMmHG5onXdEY1DlDUNX57mHut+YbAoMK+6rRQFmGOwSBIQoYtKpEwMkRuuX00JkSkXoX7LgsGiwCZTcUx6sAjqzCSXzCE5XL8afPfv2Riv4BtWIrck4rHAx+CmkzHMCTYzO8oYMQjOi4wEsxwki3hMCXyXoldmxOgKJ3LTK7NB1yvehPmJwaLgPAkWPZw4QySalwMM1iaSccxOMvtB0XP9StrTFTuGeWWaXdB+YrAouDmXA7tYDGy8SCrXr6SRCKhRe2UmzewHRVIspviyeUQ/E8m4cIuDRx2DRcGlEjFX97mdnUxx9hhJJRYLbo3Dl5n9oAgLai1TDu3wH4PFEHCzK5rjFUlGQXRFM/tBUXftSiqQrmjehPmPwWIIuDnji7PHSEZBjK8KcqwkkR+C6IpOJ2OYmeTuY35jsBgCbmUnYjFgZoLBIskniEbtZe69ThLw+6bo5WnOgg4Cg8UQSCfimHJhvcWZiSTHK5K0/FxCJ5WIcSIZSeHaFX/XMuVNWDAYLIaE6sKsaJVd0CSxa1dSvu0Vff0qZ0GTHOIxxbex8Im4wnYsIAwWQ8KNrujZSU5uIXkl4jHXl6IahOMVSSZ+Ze1fmuZNWFAYLIaEG11a7BYj2fnRqMVjChe+J6mcZdK9P0/QuzHJzNGUIl3XUSqVoGkadF3H+vo6VFUd+PxKpYK1tTUcHBz0HC+XywCAWq2G/f193L59G9lsFgBQKpWQy+UA4MJ7Oz1/lFxJxZGIK2gZ5kivn0rFkUrw3oDkdrbe4hNPz5G5wrVMSS6dMbq1k6Zn54jFuPtYkBwFi6urq1bgp+s61tbWUCwW+z63E9RVKpW+7/Pee+8hl8uhWq1idXUVh4eH1mPnbW9vY3Nz09H5o0ZRFMxMJlF92hjp9TPMKhJhIhnH1YkEnp62PDvHdWY/SELXrqY9DRbVqRQScSY8gmI7WNR1vednTdOsDGE/+Xx+4GPFYtHKJAIvMoi1Wg3FYrHntTs7O9jc3HR8/jA6aVzegCXjMdSbxoXj9ZbR99/dUvHY0PefSnHtKoq+61fTngaL17jwPUno+tUUDj/07v2D2lqQztiODsrlMjKZTM+xTCaDSqXSE/jZ0elmBs4Cx42NDevn7kCxVCpZPzs5f71eR71et34+Pj52dH1BufmP/2Ds93iz+O2RX/v9t3517PMTie6lq2l8/yfPPHnv6YkEJpLjL3NFFDbTE0mkkzHUm21P3v/aVd6EBcl2TrdWq/U9Xq1WRzpxpVJBoVDAysoK1tfXAfSOUazVaqhWq9A0zfH5t7a2MDs7a/03Pz8/0jUSUfTMTCaQ8Gg3FzZoJLNrV7zJ/k2m4uz5CtjYv/1BQdww2WwWmqahUCj0ZBA7CoUCtre3Rzr/nTt38Oabb1o/Hx8fhyJgvP9PfiXoSyCKPEU5Wxfuw+P68Cc75FVjSRQG166m8MPac0/el4JlO1hUVfVCFq9arY41G1lVVayurmJlZQVHR0c9YxfL5XLPezs5fzqdRjodvi9t3jkR+ePa1bTrwWI8rnB5KpJa5koKigKYoy3acen7UrBsd0N3jzPstrS05OiE5XIZc3Nz1s+dbubuCSzvv//+hSDQrfMTEXkxCWVuikvmkNyS8RimJ9y9YVIULpkjAtvBYieo69B1HUtLS1ZQV6lULsxY7ujuKs5kMj2BX6VSgaqqPZNUKpXKhcksw85PRGTXRDKOSRf2W+/GBo0IyFxxN1icmUxyyRwBOOr3LBaLKBQKWF5exv7+fs8ah1tbW1heXsbm5iaAswzi3t5ez2P5fB7ZbBa3b9/G3bt3AQB7e3sXFu0GLgaHw85PROTE3FQKzxvuja+ac7mRJAqjuakUvo8TV9+PgqeYptujC8RzfHyM2dlZPH78GDMzM0FfDhEJ4MePT/Gff/B44OP1poHf+L0PAABf/tzrSF+yJE4yEcPf+Lnr3LeWpGe0TXzjux+ifckKOk7q1us/peJaCNdYfPjwIebn5/HgwQPcuHEj6MsZG3O7RCQldcq9TKA6mWSgSISzvdFnXBq3GIud7dxCwWOwSERSmkjGMeXSuEV2lRG94FaANz2RRJyTxoTAYJGIpDXrUnZR5XhFIotbWfs5F7P/NB4Gi0QkLTcyIPG4guk010gl6pidTMKNURmzk8zYi4LBIhFJS3VhEe2ZCY5XJOqWjMdwxYUbKC5yLw4Gi0QkralUfOx9otmgEV00br2YSsWRSjBEEQX/EkQkLUUZf4s+BotEF41bL2ZYr4TCYJGIpMZgkch9rFfRwmCRiKQ2TgZjkl1lRH1NpeKIjzHEw62VCsgd/JYjIqmNs4CwW4sPE0WNooy+OHcsBlxNcYUBkTBYJCKppRIxTFyy3dhlZibZoBENMjMxWv24mk4ixsW4hcJgkYikN2rQN83MItFAow7xmB4xyCTvMFgkIumNGvSxUSMabNT6wXolHgaLRCS9qyMsIDyRjCMZ51co0SCTyfhIezszYy8eftMRkfRGyWQw+0F0OUVRcNVhPVGU0W7eyFsMFolIehNJ5zu5OG0EiWTkNPCbTI2WjSRvMVgkIoLzTCGzH0TDOa0nrFdiYrBIRATgChs1ItcxWIwGBotERHDWSMViZ4P3iehyvAmLBgaLRERw1khNJhNcNJjIhlQi5mhLTKfBJfmDwSIREYApB9uLMftBZN+VtL0svKIwYy8qBotERDjLgNidET1ls/EjIvs3YpOpODP2gmKwSET0MbsZwysOspBEsrNbX1ivxMVgkYjoY5MpexlDZhaJ7LNbX+x2V5P/GCwSEX3MbnfZFMdVEdk2ZfMmbJKZRWExWCQi+tgVG43a2dhGfnUS2TWZjEOxMRSRN2Hi4jceEdHH7HRD282SENEZRVFszXK2OwwkinRdx87ODkqlEnZ2dlCr1S59fqVSweLiYt/jOzs72NnZwerq6sD3KRQKQ8/RjcEiEdHH7DRoE8x+EDk2LBCMxxSp69bq6io2NzeRz+eRz+extrY28LmlUgnAWWB4XrlcxubmJjY3N7G8vIxbt25deE4noHSCwSIR0ccS8RiSQxYQZmaRyLlhwaLMgaKu6z0/a5qGcrk88Pn5fB7ZbPbC8Uqlgq2trZ7nVSqVC++v6zo0TXN0jRxNSkSRdtJoOXq+AqDeNFBvGdax7n87fU8ni30ThYmjumWe1SsAfevW1YmE47oalbpVLpeRyWR6jmUyGVQqlb5B4SDZbBbvvPOO9XOnm7n7vUulEvL5PAqFgqNrjMZvmohogJv/+A/Gfo83i98e+bXff+tXxz4/kYhYt4Z78uQJjo+PrZ/T6TTS6XTPcwaNHaxWq47Pl8/nrX+/++67yOVyUFXVOk/n306xG5qIiIjIAzdv3sTs7Kz1X3c38TBOJqD0e22pVEKxWLSO3bt3D7lcbqT3Y2aRiCLt/j/5laAvgSiSWLeGu3//Pl599VXr5/NZRQBQVfVCFrFarY6cBQTOZjvv7e1Z71Eul/HGG2+M/H4MFoko0qIyrolINKxbw01PT2NmZubS5+RyOezu7l44vrS0NNI5d3Z2UCgUoGlaT3by3r171r91XcfW1hZu375ta1wk/9JEREREATk/M1nXdSwtLVlZwUqlAlVV+85gPj8OsVQqIZvNWoHivXv3sL6+fqH7eWNjAxsbG7ZnRXPMIhEREVGAisUiCoUCSqUSdnd3e8Yabm1tWWsrAmddyp3ZzN2P6bqO1dVVrKysQFEUzM3NXZj1XKvVrDUWt7e3+67V2I9imqY5VglD4Pj4GLOzs3j8+PHQdDARERHROB4+fIj5+Xk8ePAAN27cCPpyxsbMIhERERENxGCRiIiIiAZisEhEREREAzFYJCIiIqKBGCwSERER0UAMFomIiIhoIAaLRERERDQQg0UiIiIiGojBIhERERENxGCRiIiIiAZisEhEREREAzFYJCIiIqKBEkFfgB9M0wQAHB8fB3wlREREFHVPnjwB8CL+CDspgsXOH21+fj7gKyEiIiJZPH36NOhLcIViRiXsvUS73cYPf/hDTE9PQ1GUoC/HE8fHx5ifn8eDBw8wMzMT9OUQRQLrFZE3ol632u02fvSjH+GTn/wk4vF40JczNikyi7FYDDdu3Aj6MnwxMzMTyYpHFCTWKyJvRLluqaoa9CW4hhNciIiIiGggBotERERENBCDxYhIp9P40pe+hHQ6HfSlEEUG6xWRN1i3wkWKCS5ERERENBpmFomIiIhoIAaLRERERDQQg0WfVSqVoC+BiIiIyDYGiz5bXFy0Asa5uTnouh7wFbkrqoueE9mxurqKhYUFrKysoFarYWVlBQsLCygUCkFfGlFosV4FT4pFub1UKBSwsLCA9fV1W88Pw3wip2UiiiKn9WBnZweapqFYLAI4a+A2NjaQz+e9vEyiUGG9CidmFomIXHB4eIiFhQXrZ13XoWlagFdEFH6sV4IwaWTr6+umqqqmqqpmNps19/b2TNM0zc3NTVPTNFPTNHNzc7PnNaqqmoeHhxf+fXh4aOZyOVNVVVPTNLNYLPYc1zTNzOVy5tHRkfVe2WzWPDg4MPP5vLm9vT3w2OHhoZnNZi9cT79zDirToPfY29szNU0zs9msubm5afIjRSIaVL+66+DR0ZH1+b2sHvSrj5ubmz3PN03Tqi/5fN7n0hL5g/VKHmzZx7S+vm7u7u72HOtUGNM8qzSdCtH5uV+wqKqq9bqjoyPz4ODAOt75dycw6+gEpN3n63es+z3y+bx1PYPO2a9M/d6j8yXQeb9ischgkYR0Wf3q16iZ5vB6cL4+nn9+58aNKKpYr+TBbmgPdI+leOONN4bOgC6VSshkMtbrVFVFNpvF3bt3kcvlkM1mAQC5XA6qqqJcLluv7Td2o/tYqVTC0tKS9R537txBsVgceM5B19fvPe7du4dcLodcLmddH5FonHzWL2OnPhLJgvVKLpzg4oFarYa7d+/i8PAQ5XIZqqpe+nxd1/sGWoeHhxfGZmia1jODut/ruo/pug5d17G4uNjz+KBzDrq+fu9Rq9U4doSE5+Szfhk79ZFIFqxXcmFm0WWdoErTNGxvb9uqTIMqxsLCwoXj5wf39gtEu4+pqopcLoeDgwPrv+3tbUeVcdB7qKrKCk3Cc6vhsVMfiWTBeiUXBotjUlUVh4eHAM4yirquQ1VV5PN5qKqK999/f+h75PN5vP/++1bavVaroVQq4Y033kC5XLa6sUulEmq1mqO7ufPvUavVUC6XB56zX5kGvcf543fv3rV9XUR+ueyznslkrIbq/Od3WD0YpT4SRQXrlVwYLI7p9u3b2NnZweLiIsrlsvUBn5ubw+rqKjRNw7Vr14a+z8HBAQqFAubm5qzuXlVV8d5772FtbQ1zc3PY3d3F3t6eo+tTVRXFYhFra2tYWFjArVu3Lj1nvzINeo/O8Vu3blmv590giWjQZ31jYwMbGxtYWVkB0Pv57VcPxq2PRFHCeiUPxTRDsEo0EREREQWCmUUiIiIiGojBIhERERENxKVziIhGpOs6SqWSNTN0fX194FJZlUrFmgywv7+Pd955Z+iyWkSycFKXuhUKBdy5c8d6rq7r2N3dxcLCAg4PD3seo9FxzKKPotywuFW2zoy4bDYLXddRq9VGWuiVyA+Li4s4ODgAcFYHCoUCisVi3+fu7Oxgc3PT+ve7775rvZZIdk7qUkelUsHi4iKOjo6sNmRhYQEHBwdQVRWVSgW7u7vY3d31+vKjL9gNZOTS2dvSNM/2wrxsb8vOvs6df3e/VkRulW19fd0EYAK4sBc2kUg6+6V3U1W173MPDg56Hjs8PDQBWFuiEcnMSV3qViwWTU3TrHbi/FaBpmlyC1qXcMyiT84vOqpp2sDtjCqVCra2tqyf8/k8KpWKsAtgu1m2zl3i0dER9vb2hM6mktzK5TIymUzPsUwm03d7z2w2i3feecf6uVarWc8nkp2TutRRKpUubHXbqVfnDdtyl4bjmEWfXFYZznezhq1hcbtsDBDJqVKphP39fdy+fRvvv/8+arWa1eXrlUENU7Va7Xu8u2F79913rT1wiUQShrpUq9X61p3O8KWOTpA46H3IPimDxTBUhlEaliDKBbhbtu5dAPb397GxscGFvulSnR2Jtra2sLy8jFwuh5WVFVuf/Vqt1pPp7ufatWuO6tGg+tD9eKlU4nhFEk5Y6tK9e/ewvr5+4Xhnm927d+/ijTfesAJHURMtYSJdsBiWytD9uJ2GZZxydc4jQtm6J8ZomoaVlRVrayiifjo3E7VazboRsfuZUVUV29vbI51XVdULN0TVanXoTV2hUOAQCxJSGOpSZ6vZQTY3N6HrOnRdt3ZUY8JhfNIFi2GoDN3sNizjlKtzfSKUTdd1q+u6M7Oam8rTZTRNQ6lUGmkv2XFuknK5XN9ZlktLSwPfa2dnB4VCAZqmWTdTDBpJFGGpS/fu3bP+res6tra2cPv2basbutNedIZCsY6NT8pgMQyVAXDWsIxTLkCMsum6jlu3buHo6KjnuexCoGH29vasfWi7dT7Xy8vLAHBhQPw4N0nnb2B0XcfS0lLPMlCqqlrPK5VKyGaz1md+UFcaUZBEr0vn27jOPtSd91hcXMT3vvc9qKqK3d3dka+Jzgl6OnYQ1tfXzWKxeOH40dGRubm5aRaLxb6Pj+v88jK5XM76+eDgoGcZjWKxaO7t7VnXtbu7O/C5HYPKdXBwYO7u7pp7e3vWe7rNjbKdL2exWLx0CR6iju7PW7dsNmseHR2ZR0dHPUs2ueXw8ND6ztjc3OxZ6imfz1vn7CyV0/2fnaVBiPwmel3q6FwHAHN9fd08ODgwTdM0d3d3zWKxaLV55A4pF+VeWVnB3t7eheOLi4t47733AAB37951fXJIZ2X55eVl7O/v96wsv7q6iuXlZWu8xcLCQs9rVVW1Mm6rq6sAcGHB0kHl6hzvLGczavbxMm6VrbNgt6qqODw85F0hjaxcLqNYLHJBXqIxsS6RlMFiP2GrDP3WmOqnXC5jd3cXGxsbPWl9oqgrl8uoVCrWTd+g5TaI6HKsS8RFubt0Z7yGzeQNC03TrNnRqqoKu7A3kdtyuRwePXqEcrmMcrnMzz7RiFiXiJnFLoVCwRrYm8lkhN2TuFwuO8oSdsrV2WeZM4uJiIjILgaLRERERDQQu6GJiIgiplarRWY4lV+4h/RgDBaJiIgipFarWatmiEpRlEDOOzc3N3DM5e7urrXdLPVisEhERBQhq6urKBQKoZ6xXCgUcPfuXV/fY3d3F4VCgRnZPhgsEhERRcT5fZHJmXw+P3aQGkUMFomIiCKi3xq85XIZCwsLWFxcxMbGBlZWVlAoFACcbUZRqVSwurqKnZ0dAGcB58rKChYWFqyVNDq6u3FrtVpPd/LCwgLu3r2LlZUVzM3N9XTpdl9D59yDbGxs4O7duygUClhcXLQ2lOh3rYOuZ9B7dH5Hi4uLF66x87qwrLfsq+A2jyEiIiI35XK5C9u+qqpqbdXX+XeHpmmmpmk9r1FV1do+b29vz9Q0reexzvatR0dHZncYoaqqtUVrsVi0Xtd5Xmf7vWKxaA4LP9bX13u2f73sWgddT7/3GHSN3RgaXcTMIhERUUTout6zlm6tVkMmk4GqqlBVFUtLSxcmeGxsbFjZyLt37yKXy1nrDHc2dOjOzF3m9u3b1us657l37x5yuZzVNT5OF3n3tY6q3zV24wYWFzFYJCIiiohqtdozsaXz705X8vlgEugN3g4PDy88rmma7eCp36YPtVrNtc0g3BiLOexaMpkMJ7mcw2CRiIgoIvoFdqqq4tatW1hYWMD29vaFWdLdPy8sLFx4fb8Ac5B+M7DdzNS5McM7zLPEg8JgkYiIKCL6ZcUymQwODg5weHg4tAv3jTfeQLlcthaoLpVKqNVqVkYvk8lYgZ/dWcPn39PO61RVxeHhIQBcmuW77Hrsvsd5ToJjWTBYJCIiiohsNov9/f2eY7quQ1EUKIqCubm5S2cjq6qK9957D2tra5ibm8Pu7i729vasxzc2NqwZ1cDwLt3OexaLRdy6dQuLi4u2Xnf79m3s7OxcmMl83mXXY/c9ulUqFWiaxuzjOdwbmoiIKCI6y950Mmo7Ozs4PDy0loOp1Wq4desW7ty5M/ZEkSja2dnBo0ePsL29HfSlCCUR9AUQERGROzRNg6ZpKJfLfSeDqKqKTCYTwJWFw+7uLg4ODoK+DOEws0hERBQhnexhJ+gpFAoolUpQVRW1Wg0bGxvY3NwM+CrFUygUsLy8zIxrHwwWiYiIIqZWq6FarXKihgOVSsVaX5J6MVgkIiIiooE4G5qIiIiIBmKwSEREREQDMVgkIiIiooEYLBIRERHRQAwWiYiIiGggBotERERENBCDRSIiIiIaiMEiEREREQ30/wN0HXpniNMe4AAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"prefix = \"/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/result_data/pointsets_eval_tc\"\n",
"oscis_gt = load_oscillation(f'{prefix}/ground_truth')[1]\n",
"oscis_tc02 = load_oscillation(f'{prefix}/tc02')[1]\n",
"oscis_cutoff = load_oscillation(f'{prefix}/cutoff02')[1]\n",
"\n",
"plt.rcParams['text.usetex'] = True\n",
"\n",
"fig, ax = plt.subplots(1,1, layout='constrained')\n",
"\n",
"plot = ax.violinplot([oscis_tc02, oscis_cutoff, oscis_gt], \n",
" showmedians=True,\n",
" positions=[1, 2, 3],\n",
" widths=[0.3, 0.3, 0.3],\n",
" quantiles=[[0.25, 0.75], [0.25, 0.75], [0.25, 0.75]])\n",
"\n",
"ax.set_xticks([1, 2, 3])\n",
"ax.set_xticklabels(['tailcorrected\\n' + r'$r_c=0.2, r_e=0.25$', 'cutoff\\n' + r'$r_c=0.2$', 'cutoff\\n' + '$r_c=0.49$\\n (ground truth)'])\n",
"plot['cmedians'].set_edgecolor('orange')\n",
"\n",
"ax.set_yticks([max(oscis_tc02), min(oscis_tc02), np.quantile(oscis_tc02, 0.25), np.quantile(oscis_tc02, 0.75), np.median(oscis_tc02)])\n",
"ax.axline((1, 0.1880), (3, 0.1880), linestyle='dashed', color='gray', linewidth='0.8')\n",
"\n",
"axr = ax.secondary_yaxis('right')\n",
"axr.set_yticks([max(oscis_gt), min(oscis_gt), np.quantile(oscis_gt, 0.25), np.quantile(oscis_gt, 0.75), np.median(oscis_gt)])\n",
"ax.axline((1, 0.180), (3, 0.180), linestyle='dashed', color='gray', linewidth='0.8')\n",
"\n",
"plt.savefig('/home/clara/repositorys/bachelor-thesis/thesis/media/violinplot_tc_osci.png', dpi=600, bbox_inches='tight')\n"
]
},
{
"cell_type": "code",
"execution_count": 132,
"id": "da64543c-9edf-4df4-9dc2-66bc39c658cd",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"prefix = \"/home/clara/repositorys/vk_raytracing_tutorial_KHR/utk_experiments/result_data/pointsets_eval_tc\"\n",
"effnu_gt = load_effnu(f'{prefix}/ground_truth')[1]\n",
"effnu_tc02 = load_effnu(f'{prefix}/tc02')[1]\n",
"effnu_cutoff = load_effnu(f'{prefix}/cutoff02')[1]\n",
"\n",
"plt.rcParams['text.usetex'] = True\n",
"\n",
"fig, ax = plt.subplots(1,1, layout='constrained')\n",
"\n",
"plot = ax.violinplot([effnu_tc02, effnu_cutoff, effnu_gt], \n",
" showmedians=True,\n",
" positions=[1, 2, 3],\n",
" widths=[0.3, 0.3, 0.3],\n",
" )\n",
"\n",
"ax.set_xticks([1, 2, 3])\n",
"ax.set_xticklabels(['tailcorrected\\n' + r'$r_c=0.2, r_e=0.25$', 'cutoff\\n' + r'$r_c=0.2$', 'cutoff\\n' + '$r_c=0.49$\\n (ground truth)'])\n",
"plot['cmedians'].set_edgecolor('orange')\n",
"\n",
"ax.set_yticks([max(effnu_tc02), min(effnu_tc02), np.median(effnu_tc02)])\n",
"ax.axline((1, 0.565), (3, 0.565), linestyle='dashed', color='gray', linewidth='0.8')\n",
"\n",
"axr = ax.secondary_yaxis('right')\n",
"axr.set_yticks([max(effnu_gt), min(effnu_gt)])\n",
"ax.axline((1, 0.560), (3, 0.560), linestyle='dashed', color='gray', linewidth='0.8')\n",
"\n",
"plt.savefig('/home/clara/repositorys/bachelor-thesis/thesis/media/violinplot_tc_effnu.png', dpi=600, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5c3818ca-9975-4607-b74f-767abe5cf609",
"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": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Reference in a new issue View git blame Copy permalink