markov-models/markov.ipynb
2021-01-05 11:10:29 +00:00

1050 lines
1.7 MiB
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

{
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.6-final"
},
"orig_nbformat": 2,
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2,
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"#IMPORTS AND COMMON VARIABLES\n",
"import matplotlib\n",
"import matplotlib.cm as cm\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.pyplot import savefig\n",
"import numpy as np\n",
"from math import sqrt\n",
"\n",
"from constants import *\n",
"from maths import gaussian\n",
"from markov import MarkovModel\n",
"from markovlog import LogMarkovModel\n",
"\n",
"fig_dpi = 200\n",
"fig_export = False\n",
"\n",
"x = np.linspace(-4, 8, 300) # x values for figures\n",
"x_label = \"Observation Space\"\n",
"y_label = \"Probability Density\""
]
},
{
"source": [
"State Probability Functions (1)\n",
"==================="
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:50:57.931783</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \nL 417.6 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 60.773011 243.24375 \nL 60.773011 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf0f9a69005\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"60.773011\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 4 -->\n <g transform=\"translate(53.401918 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 117.412216 243.24375 \nL 117.412216 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.412216\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(110.041122 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 174.05142 243.24375 \nL 174.05142 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"174.05142\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 0 -->\n <g transform=\"translate(170.87017 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 230.690625 243.24375 \nL 230.690625 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"230.690625\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 2 -->\n <g transform=\"translate(227.509375 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 287.32983 243.24375 \nL 287.32983 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.32983\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 4 -->\n <g transform=\"translate(284.14858 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 343.969034 243.24375 \nL 343.969034 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"343.969034\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(340.787784 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 400.608239 243.24375 \nL 400.608239 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"400.608239\" xlink:href=\"#mf0f9a69005\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 8 -->\n <g transform=\"translate(397.426989 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- Observation Space -->\n <g transform=\"translate(183.415625 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"704.199219\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"767.675781\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"828.955078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"883.935547\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 43.78125 233.201676 \nL 417.6 233.201676 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9bcf2d5d0a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m9bcf2d5d0a\" y=\"233.201676\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 0.0 -->\n <g transform=\"translate(20.878125 237.000895)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 43.78125 197.954795 \nL 417.6 197.954795 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m9bcf2d5d0a\" y=\"197.954795\"/>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- 0.1 -->\n <g transform=\"translate(20.878125 201.754014)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 43.78125 162.707914 \nL 417.6 162.707914 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m9bcf2d5d0a\" y=\"162.707914\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 0.2 -->\n <g transform=\"translate(20.878125 166.507133)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 43.78125 127.461033 \nL 417.6 127.461033 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m9bcf2d5d0a\" y=\"127.461033\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 0.3 -->\n <g transform=\"translate(20.878125 131.260252)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 43.78125 92.214152 \nL 417.6 92.214152 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m9bcf2d5d0a\" y=\"92.214152\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 0.4 -->\n <g transform=\"translate(20.878125 96.013371)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_6\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 43.78125 56.967271 \nL 417.6 56.967271 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m9bcf2d5d0a\" y=\"56.967271\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 0.5 -->\n <g transform=\"translate(20.878125 60.76649)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- Probability Density -->\n <g transform=\"translate(14.798438 179.8075)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"222.074219\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"283.353516\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"346.830078\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"374.613281\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"402.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"430.179688\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"469.388672\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"528.568359\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"560.355469\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"637.357422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"762.259766\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"814.359375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"842.142578\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"881.351562\" xlink:href=\"#DejaVuSans-121\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_27\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 60.773011 233.181773 \nL 80.094747 233.020716 \nL 89.187328 232.744445 \nL 96.006764 232.327404 \nL 101.689627 231.74662 \nL 106.235918 231.058181 \nL 110.782209 230.100026 \nL 114.191927 229.157364 \nL 117.601645 227.981026 \nL 121.011363 226.53004 \nL 124.421081 224.761176 \nL 127.830799 222.630291 \nL 130.103944 220.987088 \nL 132.377089 219.151473 \nL 134.650235 217.112149 \nL 136.92338 214.85908 \nL 139.196525 212.383859 \nL 141.469671 209.680098 \nL 144.879389 205.188008 \nL 148.289107 200.172217 \nL 151.698825 194.648434 \nL 155.108543 188.651615 \nL 158.518261 182.237658 \nL 163.064551 173.174233 \nL 178.976569 140.744019 \nL 182.386287 134.629593 \nL 184.659432 130.90401 \nL 186.932577 127.511558 \nL 189.205723 124.494075 \nL 191.478868 121.889593 \nL 193.752013 119.73154 \nL 196.025159 118.048025 \nL 198.298304 116.861231 \nL 199.434877 116.459294 \nL 200.571449 116.186929 \nL 201.708022 116.045048 \nL 202.844595 116.034127 \nL 203.981167 116.154203 \nL 205.11774 116.404872 \nL 206.254313 116.785295 \nL 207.390885 117.294201 \nL 209.664031 118.690256 \nL 211.937176 120.574544 \nL 214.210321 122.922346 \nL 216.483467 125.703255 \nL 218.756612 128.881834 \nL 221.029757 132.418365 \nL 224.439475 138.299142 \nL 227.849193 144.731895 \nL 232.395484 153.887615 \nL 246.034356 181.870553 \nL 249.444074 188.305609 \nL 252.853792 194.327268 \nL 256.26351 199.878434 \nL 259.673228 204.923027 \nL 263.082946 209.444325 \nL 266.492664 213.442659 \nL 268.765809 215.824416 \nL 271.038955 217.9873 \nL 273.3121 219.940445 \nL 275.585245 221.694456 \nL 278.994963 223.977939 \nL 282.404681 225.882345 \nL 285.814399 227.45173 \nL 289.224117 228.729858 \nL 292.633835 229.758712 \nL 296.043553 230.577405 \nL 300.589844 231.402904 \nL 305.136135 231.990601 \nL 310.818998 232.481424 \nL 317.638434 232.829602 \nL 326.731015 233.056815 \nL 341.50646 233.174828 \nL 385.832794 233.201621 \nL 400.608239 233.201671 \nL 400.608239 233.201671 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_28\">\n <path clip-path=\"url(#p69d96452c6)\" d=\"M 60.773011 233.201676 \nL 209.664031 233.108379 \nL 216.483467 232.863229 \nL 221.029757 232.453472 \nL 224.439475 231.891207 \nL 226.712621 231.328581 \nL 228.985766 230.559373 \nL 231.258911 229.522972 \nL 233.532057 228.146959 \nL 235.805202 226.346979 \nL 238.078347 224.027452 \nL 240.351493 221.083424 \nL 242.624638 217.403745 \nL 244.897783 212.875766 \nL 247.170929 207.391595 \nL 249.444074 200.855846 \nL 251.717219 193.194599 \nL 253.990365 184.365133 \nL 256.26351 174.365751 \nL 258.536655 163.244892 \nL 260.809801 151.108576 \nL 264.219519 131.385954 \nL 273.3121 76.758957 \nL 275.585245 64.657239 \nL 277.858391 53.991334 \nL 278.994963 49.316813 \nL 280.131536 45.139573 \nL 281.268109 41.498641 \nL 282.404681 38.428527 \nL 283.541254 35.958687 \nL 284.677827 34.113046 \nL 285.814399 32.909615 \nL 286.950972 32.360199 \nL 288.087545 32.470203 \nL 289.224117 33.238543 \nL 290.36069 34.657667 \nL 291.497263 36.713675 \nL 292.633835 39.386546 \nL 293.770408 42.650466 \nL 294.906981 46.474237 \nL 296.043553 50.821779 \nL 298.316699 60.922893 \nL 300.589844 72.590337 \nL 302.862989 85.42354 \nL 307.40928 112.934565 \nL 311.955571 140.338854 \nL 315.365289 159.305279 \nL 317.638434 170.779415 \nL 319.911579 181.160716 \nL 322.184725 190.382266 \nL 324.45787 198.429999 \nL 326.731015 205.334037 \nL 329.004161 211.159002 \nL 331.277306 215.994169 \nL 333.550451 219.944189 \nL 335.823597 223.120898 \nL 338.096742 225.636545 \nL 340.369887 227.598575 \nL 342.643033 229.105958 \nL 344.916178 230.246923 \nL 347.189323 231.097888 \nL 349.462469 231.723343 \nL 352.872187 232.352064 \nL 356.281905 232.72763 \nL 360.828195 232.993722 \nL 367.647631 233.146929 \nL 383.559649 233.200141 \nL 400.608239 233.20166 \nL 400.608239 233.20166 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 43.78125 243.24375 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 417.6 243.24375 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 43.78125 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_16\">\n <!-- State Probability Density Functions -->\n <g transform=\"translate(125.919375 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"355.037109\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"393.900391\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"455.082031\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"518.558594\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"579.837891\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"643.314453\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"671.097656\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"726.664062\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"765.873047\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"825.052734\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"856.839844\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"933.841797\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"995.365234\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1058.744141\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1110.84375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1138.626953\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1177.835938\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"1237.015625\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1268.802734\" xlink:href=\"#DejaVuSans-70\"/>\n <use x=\"1320.822266\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"1384.201172\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1447.580078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"1502.560547\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1541.769531\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1569.552734\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1630.734375\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1694.113281\" xlink:href=\"#DejaVuSans-115\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 342.589062 59.674375 \nL 410.6 59.674375 \nQ 412.6 59.674375 412.6 57.674375 \nL 412.6 29.318125 \nQ 412.6 27.318125 410.6 27.318125 \nL 342.589062 27.318125 \nQ 340.589062 27.318125 340.589062 29.318125 \nL 340.589062 57.674375 \nQ 340.589062 59.674375 342.589062 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_29\">\n <path d=\"M 344.589062 35.416563 \nL 364.589062 35.416563 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_30\"/>\n <g id=\"text_17\">\n <!-- State 1 -->\n <g transform=\"translate(372.589062 38.916563)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_31\">\n <path d=\"M 344.589062 50.094688 \nL 364.589062 50.094688 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\"/>\n <g id=\"text_18\">\n <!-- State 2 -->\n <g transform=\"translate(372.589062 53.594688)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"p69d96452c6\">\n <rect height=\"220.925625\" width=\"373.81875\" x=\"43.78125\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"state_1_y = [gaussian(i, state1.mean, state1.std_dev) for i in x]\n",
"state_2_y = [gaussian(i, state2.mean, state2.std_dev) for i in x]\n",
"\n",
"plt.plot(x, state_1_y, c='r', label=\"State 1\")\n",
"plt.plot(x, state_2_y, c='b', label=\"State 2\")\n",
"\n",
"plt.legend()\n",
"plt.title(\"State Probability Density Functions\")\n",
"\n",
"plt.xlabel(x_label)\n",
"plt.ylabel(y_label)\n",
"plt.grid(linestyle=\"--\")\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"fig.set_tight_layout(True)\n",
"if fig_export:\n",
" savefig(\"report/res/pdfs.png\")\n",
"plt.show()"
]
},
{
"source": [
"Output Probability Densities (2)\n",
"=========="
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"3.8 -> State 1: 0.02185157424475792, State 2: 0.5471239427774459\n4.2 -> State 1: 0.009496655019831194, State 2: 0.5471239427774459\n3.4 -> State 1: 0.04499247209432338, State 2: 0.3947074079064296\n-0.4 -> State 1: 0.16833223796171576, State 2: 1.500652790137751e-09\n1.9 -> State 1: 0.2509478601290037, State 2: 0.006331212017054291\n3.0 -> State 1: 0.08289761566062391, State 2: 0.2054255182126689\n1.6 -> State 1: 0.2933877723035829, State 2: 0.001596702666402633\n1.9 -> State 1: 0.2509478601290037, State 2: 0.006331212017054291\n5.0 -> State 1: 0.0012852324969092556, State 2: 0.2054255182126689\n"
]
}
],
"source": [
"for obs in observations:\n",
" print(f'{obs} -> State 1: {gaussian(obs, state1.mean, state1.std_dev)},', \n",
" f'State 2: {gaussian(obs, state2.mean, state2.std_dev)}')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:50:58.447265</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \nL 417.6 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"PathCollection_1\">\n <defs>\n <path d=\"M -4.031129 4.031129 \nL 4.031129 -4.031129 \nM -4.031129 -4.031129 \nL 4.031129 4.031129 \n\" id=\"m2749552464\" style=\"stroke:#800000;stroke-width:1.5;\"/>\n </defs>\n <g clip-path=\"url(#pbf48cc8067)\">\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"281.665909\" xlink:href=\"#m2749552464\" y=\"225.499678\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"292.99375\" xlink:href=\"#m2749552464\" y=\"229.854401\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"270.338068\" xlink:href=\"#m2749552464\" y=\"217.343233\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"162.72358\" xlink:href=\"#m2749552464\" y=\"173.869812\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"227.858665\" xlink:href=\"#m2749552464\" y=\"144.750382\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"259.010227\" xlink:href=\"#m2749552464\" y=\"203.982852\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"219.362784\" xlink:href=\"#m2749552464\" y=\"129.791637\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"227.858665\" xlink:href=\"#m2749552464\" y=\"144.750382\"/>\n <use style=\"fill:#800000;stroke:#800000;stroke-width:1.5;\" x=\"315.649432\" xlink:href=\"#m2749552464\" y=\"232.748672\"/>\n </g>\n </g>\n <g id=\"PathCollection_2\">\n <defs>\n <path d=\"M -4.031129 4.031129 \nL 4.031129 -4.031129 \nM -4.031129 -4.031129 \nL 4.031129 4.031129 \n\" id=\"m829208be9c\" style=\"stroke:#000080;stroke-width:1.5;\"/>\n </defs>\n <g clip-path=\"url(#pbf48cc8067)\">\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"281.665909\" xlink:href=\"#m829208be9c\" y=\"40.357551\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"292.99375\" xlink:href=\"#m829208be9c\" y=\"40.357551\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"270.338068\" xlink:href=\"#m829208be9c\" y=\"94.079626\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"162.72358\" xlink:href=\"#m829208be9c\" y=\"233.201676\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"227.858665\" xlink:href=\"#m829208be9c\" y=\"230.970121\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"259.010227\" xlink:href=\"#m829208be9c\" y=\"160.795588\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"219.362784\" xlink:href=\"#m829208be9c\" y=\"232.638888\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"227.858665\" xlink:href=\"#m829208be9c\" y=\"230.970121\"/>\n <use style=\"fill:#000080;stroke:#000080;stroke-width:1.5;\" x=\"315.649432\" xlink:href=\"#m829208be9c\" y=\"160.795588\"/>\n </g>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m8a08502813\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"60.773011\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 4 -->\n <g transform=\"translate(53.401918 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_2\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.412216\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(110.041122 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_3\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"174.05142\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 0 -->\n <g transform=\"translate(170.87017 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"230.690625\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 2 -->\n <g transform=\"translate(227.509375 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_5\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.32983\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 4 -->\n <g transform=\"translate(284.14858 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"343.969034\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(340.787784 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_7\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"400.608239\" xlink:href=\"#m8a08502813\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 8 -->\n <g transform=\"translate(397.426989 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- Observation Space -->\n <g transform=\"translate(183.415625 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"704.199219\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"767.675781\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"828.955078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"883.935547\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_8\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 43.78125 233.201676 \nL 417.6 233.201676 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_9\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m149906c57d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m149906c57d\" y=\"233.201676\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 0.0 -->\n <g transform=\"translate(20.878125 237.000895)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_10\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 43.78125 197.954795 \nL 417.6 197.954795 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_11\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m149906c57d\" y=\"197.954795\"/>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- 0.1 -->\n <g transform=\"translate(20.878125 201.754014)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_12\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 43.78125 162.707914 \nL 417.6 162.707914 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_13\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m149906c57d\" y=\"162.707914\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 0.2 -->\n <g transform=\"translate(20.878125 166.507133)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_14\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 43.78125 127.461033 \nL 417.6 127.461033 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_15\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m149906c57d\" y=\"127.461033\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 0.3 -->\n <g transform=\"translate(20.878125 131.260252)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_16\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 43.78125 92.214152 \nL 417.6 92.214152 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_17\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m149906c57d\" y=\"92.214152\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 0.4 -->\n <g transform=\"translate(20.878125 96.013371)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_6\">\n <g id=\"line2d_18\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 43.78125 56.967271 \nL 417.6 56.967271 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_19\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m149906c57d\" y=\"56.967271\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 0.5 -->\n <g transform=\"translate(20.878125 60.76649)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- Probability Density -->\n <g transform=\"translate(14.798438 179.8075)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"222.074219\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"283.353516\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"346.830078\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"374.613281\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"402.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"430.179688\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"469.388672\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"528.568359\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"560.355469\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"637.357422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"762.259766\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"814.359375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"842.142578\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"881.351562\" xlink:href=\"#DejaVuSans-121\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_20\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 60.773011 233.181773 \nL 80.094747 233.020716 \nL 89.187328 232.744445 \nL 96.006764 232.327404 \nL 101.689627 231.74662 \nL 106.235918 231.058181 \nL 110.782209 230.100026 \nL 114.191927 229.157364 \nL 117.601645 227.981026 \nL 121.011363 226.53004 \nL 124.421081 224.761176 \nL 127.830799 222.630291 \nL 130.103944 220.987088 \nL 132.377089 219.151473 \nL 134.650235 217.112149 \nL 136.92338 214.85908 \nL 139.196525 212.383859 \nL 141.469671 209.680098 \nL 144.879389 205.188008 \nL 148.289107 200.172217 \nL 151.698825 194.648434 \nL 155.108543 188.651615 \nL 158.518261 182.237658 \nL 163.064551 173.174233 \nL 178.976569 140.744019 \nL 182.386287 134.629593 \nL 184.659432 130.90401 \nL 186.932577 127.511558 \nL 189.205723 124.494075 \nL 191.478868 121.889593 \nL 193.752013 119.73154 \nL 196.025159 118.048025 \nL 198.298304 116.861231 \nL 199.434877 116.459294 \nL 200.571449 116.186929 \nL 201.708022 116.045048 \nL 202.844595 116.034127 \nL 203.981167 116.154203 \nL 205.11774 116.404872 \nL 206.254313 116.785295 \nL 207.390885 117.294201 \nL 209.664031 118.690256 \nL 211.937176 120.574544 \nL 214.210321 122.922346 \nL 216.483467 125.703255 \nL 218.756612 128.881834 \nL 221.029757 132.418365 \nL 224.439475 138.299142 \nL 227.849193 144.731895 \nL 232.395484 153.887615 \nL 246.034356 181.870553 \nL 249.444074 188.305609 \nL 252.853792 194.327268 \nL 256.26351 199.878434 \nL 259.673228 204.923027 \nL 263.082946 209.444325 \nL 266.492664 213.442659 \nL 268.765809 215.824416 \nL 271.038955 217.9873 \nL 273.3121 219.940445 \nL 275.585245 221.694456 \nL 278.994963 223.977939 \nL 282.404681 225.882345 \nL 285.814399 227.45173 \nL 289.224117 228.729858 \nL 292.633835 229.758712 \nL 296.043553 230.577405 \nL 300.589844 231.402904 \nL 305.136135 231.990601 \nL 310.818998 232.481424 \nL 317.638434 232.829602 \nL 326.731015 233.056815 \nL 341.50646 233.174828 \nL 385.832794 233.201621 \nL 400.608239 233.201671 \nL 400.608239 233.201671 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_21\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 60.773011 233.201676 \nL 209.664031 233.108379 \nL 216.483467 232.863229 \nL 221.029757 232.453472 \nL 224.439475 231.891207 \nL 226.712621 231.328581 \nL 228.985766 230.559373 \nL 231.258911 229.522972 \nL 233.532057 228.146959 \nL 235.805202 226.346979 \nL 238.078347 224.027452 \nL 240.351493 221.083424 \nL 242.624638 217.403745 \nL 244.897783 212.875766 \nL 247.170929 207.391595 \nL 249.444074 200.855846 \nL 251.717219 193.194599 \nL 253.990365 184.365133 \nL 256.26351 174.365751 \nL 258.536655 163.244892 \nL 260.809801 151.108576 \nL 264.219519 131.385954 \nL 273.3121 76.758957 \nL 275.585245 64.657239 \nL 277.858391 53.991334 \nL 278.994963 49.316813 \nL 280.131536 45.139573 \nL 281.268109 41.498641 \nL 282.404681 38.428527 \nL 283.541254 35.958687 \nL 284.677827 34.113046 \nL 285.814399 32.909615 \nL 286.950972 32.360199 \nL 288.087545 32.470203 \nL 289.224117 33.238543 \nL 290.36069 34.657667 \nL 291.497263 36.713675 \nL 292.633835 39.386546 \nL 293.770408 42.650466 \nL 294.906981 46.474237 \nL 296.043553 50.821779 \nL 298.316699 60.922893 \nL 300.589844 72.590337 \nL 302.862989 85.42354 \nL 307.40928 112.934565 \nL 311.955571 140.338854 \nL 315.365289 159.305279 \nL 317.638434 170.779415 \nL 319.911579 181.160716 \nL 322.184725 190.382266 \nL 324.45787 198.429999 \nL 326.731015 205.334037 \nL 329.004161 211.159002 \nL 331.277306 215.994169 \nL 333.550451 219.944189 \nL 335.823597 223.120898 \nL 338.096742 225.636545 \nL 340.369887 227.598575 \nL 342.643033 229.105958 \nL 344.916178 230.246923 \nL 347.189323 231.097888 \nL 349.462469 231.723343 \nL 352.872187 232.352064 \nL 356.281905 232.72763 \nL 360.828195 232.993722 \nL 367.647631 233.146929 \nL 383.559649 233.200141 \nL 400.608239 233.20166 \nL 400.608239 233.20166 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_22\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 281.665909 243.24375 \nL 281.665909 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_23\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 292.99375 243.24375 \nL 292.99375 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_24\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 270.338068 243.24375 \nL 270.338068 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_25\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 162.72358 243.24375 \nL 162.72358 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_26\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 227.858665 243.24375 \nL 227.858665 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_27\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 259.010227 243.24375 \nL 259.010227 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_28\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 219.362784 243.24375 \nL 219.362784 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_29\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 227.858665 243.24375 \nL 227.858665 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"line2d_30\">\n <path clip-path=\"url(#pbf48cc8067)\" d=\"M 315.649432 243.24375 \nL 315.649432 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;stroke-opacity:0.4;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 43.78125 243.24375 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 417.6 243.24375 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 43.78125 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_16\">\n <!-- State Probability Density Functions With Observations -->\n <g transform=\"translate(68.82375 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n <path d=\"M 3.328125 72.90625 \nL 13.28125 72.90625 \nL 28.609375 11.28125 \nL 43.890625 72.90625 \nL 54.984375 72.90625 \nL 70.3125 11.28125 \nL 85.59375 72.90625 \nL 95.609375 72.90625 \nL 77.296875 0 \nL 64.890625 0 \nL 49.515625 63.28125 \nL 33.984375 0 \nL 21.578125 0 \nz\n\" id=\"DejaVuSans-87\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"355.037109\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"393.900391\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"455.082031\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"518.558594\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"579.837891\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"643.314453\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"671.097656\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"726.664062\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"765.873047\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"825.052734\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"856.839844\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"933.841797\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"995.365234\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1058.744141\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1110.84375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1138.626953\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1177.835938\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"1237.015625\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1268.802734\" xlink:href=\"#DejaVuSans-70\"/>\n <use x=\"1320.822266\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"1384.201172\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1447.580078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"1502.560547\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1541.769531\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1569.552734\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1630.734375\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1694.113281\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1746.212891\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1778\" xlink:href=\"#DejaVuSans-87\"/>\n <use x=\"1874.626953\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1902.410156\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1941.619141\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"2004.998047\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"2036.785156\" xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"2115.496094\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"2178.972656\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"2231.072266\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"2292.595703\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"2333.708984\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"2392.888672\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"2454.167969\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"2493.376953\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"2521.160156\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"2582.341797\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"2645.720703\" xlink:href=\"#DejaVuSans-115\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 342.589062 59.674375 \nL 410.6 59.674375 \nQ 412.6 59.674375 412.6 57.674375 \nL 412.6 29.318125 \nQ 412.6 27.318125 410.6 27.318125 \nL 342.589062 27.318125 \nQ 340.589062 27.318125 340.589062 29.318125 \nL 340.589062 57.674375 \nQ 340.589062 59.674375 342.589062 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_31\">\n <path d=\"M 344.589062 35.416563 \nL 364.589062 35.416563 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\"/>\n <g id=\"text_17\">\n <!-- State 1 -->\n <g transform=\"translate(372.589062 38.916563)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_33\">\n <path d=\"M 344.589062 50.094688 \nL 364.589062 50.094688 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_34\"/>\n <g id=\"text_18\">\n <!-- State 2 -->\n <g transform=\"translate(372.589062 53.594688)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"pbf48cc8067\">\n <rect height=\"220.925625\" width=\"373.81875\" x=\"43.78125\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"state_1_y = [gaussian(i, state1.mean, state1.std_dev) for i in x]\n",
"state_2_y = [gaussian(i, state2.mean, state2.std_dev) for i in x]\n",
"\n",
"plt.plot(x, state_1_y, c='r', label=\"State 1\")\n",
"plt.plot(x, state_2_y, c='b', label=\"State 2\")\n",
"\n",
"plt.legend()\n",
"plt.title(\"State Probability Density Functions With Observations\")\n",
"\n",
"plt.xlabel(x_label)\n",
"plt.ylabel(y_label)\n",
"plt.grid(linestyle=\"--\", axis='y')\n",
"\n",
"state1_pd = [gaussian(i, state1.mean, state1.std_dev) for i in observations]\n",
"state2_pd = [gaussian(i, state2.mean, state2.std_dev) for i in observations]\n",
"\n",
"#############################################\n",
"# Observation Marks \n",
"#############################################\n",
"\n",
"config = {\n",
" \"s\": 65,\n",
" \"marker\": 'x'\n",
"}\n",
"\n",
"[plt.axvline(x=i, ls='--', lw=1.0, c=(0,0,0), alpha=0.4) for i in observations]\n",
"plt.scatter(observations, state1_pd, color=(0.5, 0, 0), **config)\n",
"plt.scatter(observations, state2_pd, color=(0, 0, 0.5), **config)\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"fig.set_tight_layout(True)\n",
"if fig_export:\n",
" savefig(\"report/res/pdfs-w-obs.png\")\n",
"plt.show()"
]
},
{
"source": [
"# Forward Procedure (3)"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[[9.61469267e-03 2.00389806e-04 2.89433448e-04 4.30961030e-04\n 9.94968491e-05 7.58875028e-06 2.06308972e-06 4.76335758e-07\n 5.63267096e-10]\n [3.06389408e-01 1.56214298e-01 5.73475605e-02 8.00607227e-11\n 1.63710810e-07 1.25762776e-06 2.59451223e-09 7.98988065e-10\n 6.02373446e-09]]\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"1.9197737567283167e-10"
]
},
"metadata": {},
"execution_count": 5
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition)\n",
"model.populate_forward()\n",
"\n",
"print(model.forward)\n",
"\n",
"forward = model.forward\n",
"model.calculate_p_obs_forward()\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:50:59.025235</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 48.982813 243.24375 \nL 417.6 243.24375 \nL 417.6 22.318125 \nL 48.982813 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 65.738139 243.24375 \nL 65.738139 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m20283ca400\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"65.738139\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 1 -->\n <g transform=\"translate(62.556889 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 107.626456 243.24375 \nL 107.626456 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.626456\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(104.445206 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 149.514773 243.24375 \nL 149.514773 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"149.514773\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 3 -->\n <g transform=\"translate(146.333523 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 191.403089 243.24375 \nL 191.403089 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.403089\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 4 -->\n <g transform=\"translate(188.221839 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 233.291406 243.24375 \nL 233.291406 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"233.291406\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 5 -->\n <g transform=\"translate(230.110156 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 275.179723 243.24375 \nL 275.179723 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.179723\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(271.998473 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 317.06804 243.24375 \nL 317.06804 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.06804\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 7 -->\n <g transform=\"translate(313.88679 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 8.203125 72.90625 \nL 55.078125 72.90625 \nL 55.078125 68.703125 \nL 28.609375 0 \nL 18.3125 0 \nL 43.21875 64.59375 \nL 8.203125 64.59375 \nz\n\" id=\"DejaVuSans-55\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-55\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_8\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 358.956357 243.24375 \nL 358.956357 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"358.956357\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- 8 -->\n <g transform=\"translate(355.775107 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_9\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 400.844673 243.24375 \nL 400.844673 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"400.844673\" xlink:href=\"#m20283ca400\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 9 -->\n <g transform=\"translate(397.663423 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-57\"/>\n </g>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- Observation (t) -->\n <g transform=\"translate(195.392969 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 31 75.875 \nQ 24.46875 64.65625 21.28125 53.65625 \nQ 18.109375 42.671875 18.109375 31.390625 \nQ 18.109375 20.125 21.3125 9.0625 \nQ 24.515625 -2 31 -13.1875 \nL 23.1875 -13.1875 \nQ 15.875 -1.703125 12.234375 9.375 \nQ 8.59375 20.453125 8.59375 31.390625 \nQ 8.59375 42.28125 12.203125 53.3125 \nQ 15.828125 64.359375 23.1875 75.875 \nz\n\" id=\"DejaVuSans-40\"/>\n <path d=\"M 8.015625 75.875 \nL 15.828125 75.875 \nQ 23.140625 64.359375 26.78125 53.3125 \nQ 30.421875 42.28125 30.421875 31.390625 \nQ 30.421875 20.453125 26.78125 9.375 \nQ 23.140625 -1.703125 15.828125 -13.1875 \nL 8.015625 -13.1875 \nQ 14.5 -2 17.703125 9.0625 \nQ 20.90625 20.125 20.90625 31.390625 \nQ 20.90625 42.671875 17.703125 53.65625 \nQ 14.5 64.65625 8.015625 75.875 \nz\n\" id=\"DejaVuSans-41\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-40\"/>\n <use x=\"679.736328\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"718.945312\" xlink:href=\"#DejaVuSans-41\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 48.982813 203.765347 \nL 417.6 203.765347 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m16733f0f82\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m16733f0f82\" y=\"203.765347\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 20 -->\n <g transform=\"translate(20.878125 207.564566)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n <use x=\"147.412109\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 48.982813 158.403542 \nL 417.6 158.403542 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m16733f0f82\" y=\"158.403542\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 15 -->\n <g transform=\"translate(20.878125 162.20276)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"147.412109\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 48.982813 113.041736 \nL 417.6 113.041736 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m16733f0f82\" y=\"113.041736\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 10 -->\n <g transform=\"translate(20.878125 116.840955)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"147.412109\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 48.982813 67.679931 \nL 417.6 67.679931 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m16733f0f82\" y=\"67.679931\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 5 -->\n <g transform=\"translate(27.240625 71.479149)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_27\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 48.982813 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_28\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m16733f0f82\" y=\"22.318125\"/>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- 0 -->\n <g transform=\"translate(35.620313 26.117344)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"text_16\">\n <!-- Log Likelihood -->\n <g transform=\"translate(14.798438 168.5075)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n <path d=\"M 45.40625 27.984375 \nQ 45.40625 37.75 41.375 43.109375 \nQ 37.359375 48.484375 30.078125 48.484375 \nQ 22.859375 48.484375 18.828125 43.109375 \nQ 14.796875 37.75 14.796875 27.984375 \nQ 14.796875 18.265625 18.828125 12.890625 \nQ 22.859375 7.515625 30.078125 7.515625 \nQ 37.359375 7.515625 41.375 12.890625 \nQ 45.40625 18.265625 45.40625 27.984375 \nz\nM 54.390625 6.78125 \nQ 54.390625 -7.171875 48.1875 -13.984375 \nQ 42 -20.796875 29.203125 -20.796875 \nQ 24.46875 -20.796875 20.265625 -20.09375 \nQ 16.0625 -19.390625 12.109375 -17.921875 \nL 12.109375 -9.1875 \nQ 16.0625 -11.328125 19.921875 -12.34375 \nQ 23.78125 -13.375 27.78125 -13.375 \nQ 36.625 -13.375 41.015625 -8.765625 \nQ 45.40625 -4.15625 45.40625 5.171875 \nL 45.40625 9.625 \nQ 42.625 4.78125 38.28125 2.390625 \nQ 33.9375 0 27.875 0 \nQ 17.828125 0 11.671875 7.65625 \nQ 5.515625 15.328125 5.515625 27.984375 \nQ 5.515625 40.671875 11.671875 48.328125 \nQ 17.828125 56 27.875 56 \nQ 33.9375 56 38.28125 53.609375 \nQ 42.625 51.21875 45.40625 46.390625 \nL 45.40625 54.6875 \nL 54.390625 54.6875 \nz\n\" id=\"DejaVuSans-103\"/>\n <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"53.962891\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"115.144531\" xlink:href=\"#DejaVuSans-103\"/>\n <use x=\"178.621094\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"210.408203\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"266.121094\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"293.904297\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"348.189453\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"409.712891\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"437.496094\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"465.279297\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"528.658203\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"589.839844\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"651.021484\" xlink:href=\"#DejaVuSans-100\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_29\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 65.738139 64.454369 \nL 107.626456 99.571512 \nL 149.514773 96.23596 \nL 191.403089 92.624323 \nL 233.291406 105.923422 \nL 275.179723 129.270771 \nL 317.06804 141.087179 \nL 358.956357 154.385782 \nL 400.844673 215.534623 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_30\">\n <path clip-path=\"url(#p76e0dc542c)\" d=\"M 65.738139 33.049807 \nL 107.626456 39.161204 \nL 149.514773 48.252603 \nL 191.403089 233.234515 \nL 233.291406 164.075258 \nL 275.179723 145.577794 \nL 317.06804 201.6775 \nL 358.956357 212.362998 \nL 400.844673 194.03577 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 48.982813 243.24375 \nL 48.982813 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 417.6 243.24375 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 48.982813 243.24375 \nL 417.6 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 48.982813 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_17\">\n <!-- Forward Log-Likelihoods Over Time -->\n <g transform=\"translate(128.076719 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n <path d=\"M 4.203125 54.6875 \nL 13.1875 54.6875 \nL 24.421875 12.015625 \nL 35.59375 54.6875 \nL 46.1875 54.6875 \nL 57.421875 12.015625 \nL 68.609375 54.6875 \nL 77.59375 54.6875 \nL 63.28125 0 \nL 52.6875 0 \nL 40.921875 44.828125 \nL 29.109375 0 \nL 18.5 0 \nz\n\" id=\"DejaVuSans-119\"/>\n <path d=\"M 4.890625 31.390625 \nL 31.203125 31.390625 \nL 31.203125 23.390625 \nL 4.890625 23.390625 \nz\n\" id=\"DejaVuSans-45\"/>\n <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-70\"/>\n <use x=\"53.894531\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"115.076172\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"156.189453\" xlink:href=\"#DejaVuSans-119\"/>\n <use x=\"237.976562\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"299.255859\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"338.619141\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"402.095703\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"433.882812\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"487.845703\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"549.027344\" xlink:href=\"#DejaVuSans-103\"/>\n <use x=\"612.503906\" xlink:href=\"#DejaVuSans-45\"/>\n <use x=\"648.587891\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"704.300781\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"732.083984\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"786.369141\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"847.892578\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"875.675781\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"903.458984\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"966.837891\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1028.019531\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1089.201172\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"1152.677734\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1204.777344\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1236.564453\" xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"1315.275391\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"1374.455078\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1435.978516\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"1477.091797\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1508.878906\" xlink:href=\"#DejaVuSans-84\"/>\n <use x=\"1566.837891\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1594.621094\" xlink:href=\"#DejaVuSans-109\"/>\n <use x=\"1692.033203\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 342.589062 59.674375 \nL 410.6 59.674375 \nQ 412.6 59.674375 412.6 57.674375 \nL 412.6 29.318125 \nQ 412.6 27.318125 410.6 27.318125 \nL 342.589062 27.318125 \nQ 340.589062 27.318125 340.589062 29.318125 \nL 340.589062 57.674375 \nQ 340.589062 59.674375 342.589062 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_31\">\n <path d=\"M 344.589062 35.416563 \nL 364.589062 35.416563 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\"/>\n <g id=\"text_18\">\n <!-- State 1 -->\n <g transform=\"translate(372.589062 38.916563)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_33\">\n <path d=\"M 344.589062 50.094688 \nL 364.589062 50.094688 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_34\"/>\n <g id=\"text_19\">\n <!-- State 2 -->\n <g transform=\"translate(372.589062 53.594688)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"p76e0dc542c\">\n <rect height=\"220.925625\" width=\"368.617187\" x=\"48.982813\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "iVBORw0KGgoAAAANSUhEUgAABJsAAAMMCAYAAAD0M6ZoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd5xU1fnH8c/ZvtJZisKuoICoqFgAARWwIlGxxBpLNBqNiSWJmp+JidHEnsRYElus0cSa2KKJLTTpqBBBqQrugiBlKQvb9/z+ODM7ZWdmZ3dnp9z9vl+v+9q59565c2aeubM7z57zXGOtRUREREREREREJBGyUt0BERERERERERHxDiWbREREREREREQkYZRsEhERERERERGRhFGySUREREREREREEkbJJhERERERERERSRglm0REREREREREJGGUbBIRERERERERkYRRsklERERERERERBJGySYREREREREREUkYJZtERERERERERCRhlGwSEREREREREZGEUbJJREREREREREQSRskmERERERERERFJGCWbREREREREREQkYZRsEhERERERERGRhFGySUREREREREREEkbJJhERERERERERSRglm0REREREREREJGGUbBIRERERERERkYRRsklERCQNGGOmGmOsb5mQ6v5IfIwxq4PiNjBKm7SMrTFmYFC/Vsdol7HPMd0YYy4Oep2eTnV/JLMFvZdsqvsiIhJOySYRkTQU9sWtJcuEVPdd0kNYguDiVPcnnRhjJuhLmkhsxpjxxph7jDFzjTGlxpgqY0y5MWapMeY1Y8zlxpi+qe5nujPGPN3K3+dRl1Q/JxGReOSkugMiIiIiIpIejDFHAH8ADo+wOx/oDgwFTgXuM8b8AbjbWluRtE6KiEjaU7JJRCT9zQfmxdl2bXt2REREvMsYcw3wR0JnP2wC5gLrgU7A3sBIwACFwC+BycaYSdbadcntcUZ4H2guEfejoNuvod/lIuIBSjaJiKS/t621t6S6EyLSlLV2YKr70N46wnMUMMb8HLgjaNMa4CfAG9ba+rC2/YCbgctxSaeDgNnGmFHW2g1J6nJGsNY+BzwXq40xJjjZdL+1dmqcxzZt6JqISLtSzSYRERERkQ7MGDMeuC1o02zgQGvtq+GJJgBr7Tpr7Q+AcwH//j2BvxpjlAARERElm0REREREOipjTDbwFIHvBaXAJGvtjubua619CfhZ0KYTgIsT3UcREck8SjaJiHQQxpjRxpg/GWOW+K4oVGWMKTPG/McYc5UxplMcx7gl6Io4t/i2FRpjLjXGvGuM+coYU+Pbf7DvMf3t58Q4boGvP/62C2K0zTPG7PK1qzbGFEZok2uMmei7ktIUY8w63/Erfc/538aYHxtjOsfxnCNeHt4Yc6Qx5nHflZm2+fbfF+H+WcaY7xpj3jPGrPf1Y7Ux5nVjzGnNPX66MM5ZxpjnjTGrjDEVvmWVMebvxpgzWzqiwRhzvDHmBd/7psoY87UxZoYx5kf+92Ok91w6MaFX/RuYgONdYIypDTrmr6K0yzXGXGiMeckY84UxZocxZqcx5ktfjE5P1AiT1j5HY0xPY8z/GWPmG2M2+c6/L4wxTxhjDmhhH3oZY240xkzzvU+qfcf8xBjzO2PM/q14XhONMU8aY5YbY7b7+rfGGPOqMeZiY0xuC493qDHmL77nWGmM2WiMmWeM+Zkxpmcr+neM77X61Biz1RhT5/vsK/OdJ/cZY042xuS19NhhzgT2Clq/2lq7rQX3vx/4JGj9+uD3nu+9uinoPTQm3gMb93vFf78bmmk70hjzR2PMQt9rX+P7zJ3mex/2iOPxmrzXjTGDjDG3+95rG40xDcaYhfE+h/Zk4rhCXZTnNNh33iw27vdXpTFmkTHmF8aY3SIcY6hxfz986jtXthpj5hj3WZ3dwj7vZ4y5w3dubPDFaaNxVz38jXFTNEXEC6y1WrRo0aIlzRZgKmB9yy1tPFYn4IWg40Vb1uH+mx3rWLcE9wvYD1gc5XgH42oD7vCt1wKdoxz36LD71gHdorQ9KqjdjAj7S3AFbZt7vtbX7vhmnvPAoPargTzgkSjHuy/svrsDc5rpwz+BLmExn5CA99DqoONd3MZjDQE+juP1XADsHcfx8oBnmznWZ7grXoW85xJ0fk0IfqwEvs4D4zifo8YWVx+nwdeuHvhBjP6vjCMes4H+8b63E/kcgSOAshh9qwO+H+dr/D1gazPPtQ5X2Do7juP1wRVtbu71Ww6MiLOPt/n6EO1YpcBo3Kgf/7anoxyrE/B6HP3zL5e18T08JehYKwHTimN8N6xP48P2PxS0789xHnOPoNe0Ptp7GegBvBLH61QOnNmS8xlXk6oywrEWtuU1j/C4wceO+hkR634teE4XADtjvE4fAz2C7v9L3+sfrf0UYLc4+pqP+90Z6zyxwC7gqkS+vlq0aEnNogLhIiIe5vsP5X+BUUGb1wEzcFfHGQwcCWTj/rB/wxhznrX2lTgOXwT8B1enowr4EFdQtjPuSxXW2jpjzExgIi7xdBTw7wjHmhC2ng2MA95spu3UCPs7+foG7svFEl+/KnBJjr18/SvwtXvbGDPeWjsr2hMN80fgCt/tT4FFuETaPrhEAQDGmO64136/oPt+iUsAVAPDcHE5Pfh+6cYYsx8wDegdtPlTYCHui8EhwIG+7YcBs4wx46y1y2Mc9nngjKD1LbhYbsElC8fjXre3gDfa/CQygDHmTuBG32oNcIG19uUI7c4C/gb4R91U4hKaq3Hvo32AMbjzbTSuaPNIm9yizQcAd+I+C77Bfd5sBvoDx+CuYJYNPGKM+dRaG2vU4/XA74I2VePej1/hkgxHAz19x/sxsKcx5kxrrY1yvL7ATGBQ0OZVuKutVQP7A4f7tg8BphhjTrTWzozRxzuAnwdt2oU797/GJZyPAYqBt4H7oh0nyHPA5KD1lbiRQ1twce+NO+cGxnGsmIwx+bj3i9/z0V67ZrwMPIb7jAX3OT0taP9zwJW+22cbY6611tY1c8xzcXEFmGKtbXKFNmPM7jT9nF2C+1yuwCUWj8J91ncHXjLGXGit/Vscz+ks4B7f7XW49802oB/uPZeJJgF/ws1uWYG70m0VrsD7SF+bQ3D/oJpoXNH43/q2/w/3utbhfncN822fANwL/CDagxo3UvUdXBLabxXwEe73dE/fvn64z4cHjTFdrbV3hB9LRDJIqrNdWrRo0aKl6UKCRjYR+t/kOuBaICuszRDciBR/u21EH71wS1C7Wt/Pl4HeYe2ygFzf7RuD7nNPlONO8+3fSGBkx71R2n4QdLxjI+wfADyA+2M4K8oxugK/DzrOshhtB4a9hhb3RfeoCG3zg24/EXS/auB7EdqPIvBf5+qg9hMS8B5aHXS8i1t5jDwCSSULbACOi9DuBF/s/O0+8sc/QttLg9pZXxzyw9r0wX0xt7gvQm0+F8KOPyG4Dwl8naOdN1OjxRb3ZfrxoP07Ir3GvrbDcIkM6ztPfgd0j9Bub1yCx3/Mt+N4b69O4HOs8p0rPwVywtqV4JKV/rb/jfG4YwkdBfE20Df8nMMlBILfUz+Nccy3g9pVAOdGaDMC90XY3+6rSK+zr+04Ap9Z/s/DHmFtuuESrOHn+dMRjjc87L0QdbSpL843Aae04f17ZNhrd1IbjvVR0HHei7A/+DU9uYXHuzjC/ixcosnfZi5wSIR2BcCvg+JUAewVx3u91hev7xM22ouwz6y2LmExmNCa+8VoE/ycqoDtRBjhBZwTdr792Le+lrCRar72Pw1qW0+UzwZf22eC2i6L9Bxxn4VXEvjMrwPGJPJ11qJFS3KXlHdAixYtWrQ0XQj94jYP95/I5pb+YccYROjQ9x/FeLweuFE3/rZPRml3S9gfxe8QJUkTdJ/Dg59LhP0FQX9cPkPgi+jHEdrmEfiyXQ0UtvF1fjiobxG/1BH6hdziph/s08xx/aOc/Pf5bjNtw6c0TEjAeyj4C8bFrTzGJUHHqCHCF7mgtiMJJCAtcFGENtmETq16JMbx8nzv/eDX5ZYEnV8Tgo+bwNd5YJQ2wefzhKDtBcCrQfs2AiNjPFZwovUnzfSrE26Eh7/94c28t1cn8Dla4PIYxzsg6PxoAPaI0m5a0PFmAnkxjnl/UNttQJcIbcKn60ZNrPhem61BbW+O0m5mUJv3iTKND5cYeSfs8Z+O0O6qoP23JeL93sz75IKwPg1ow7GCEworIuy/NWj/880ca9+gtruixPPCoDazaeb3AaG/vx6O471ugfPbOwa+x23V53/w/WK0CX5ODURJZvva/iWsL7uA/WK0fy+o7c+itAme+r4S6NXMc7o4qP2/k/H6a9GipX0WFQgXEUl/I4EfxbH0Drvf9wlcCGIhbpRTRNbacuD/gjZ9xxjTLY6+/dha29wUsI9w/6EHONQY0zVs/1jc6ARwX1in+G4Pj1DQdTRuiD3AXGttZRx9jOWpoNvHxXmfP9nYU8TAjd7xF8idZ619JlpD37Hui/Oxk+2KoNsPW2s/idbQWjsf90XF78oIzU7ETaUCl2C7MUIb//FqgOvj72pm8Z1f/wFO8236CjjS9zpGaj8cNx0L3JSq+2Id31q7k8D0F4Dz29DdlvrUWvtYtJ3W2sWA/3ka3EiiEL7pm+OCNl3le09E8wtcDTZwIxe/E6FN8Pv5DWvtWzH6uBoInsLzg+Ci10F9HBu06RprbX2U4zUAV+O+QMcS/Pm4sZm2iRA+Hay8DccKvm+kaWbPBd2ebIzpEuNYFwTdft1GvjLeT4Nu/yCO3wd34RKIAOcZY5r7HjTPxjfdLpO8Ya19P8b+58PWH7XWfh5n+1FR2gTH6Tpr7aYo7QCw1j4NLPWtTjTGFMVoLiJpTMkmERHvOibo9tPW2ua+5LyKqwkCLvnT3BWD/tfMH6EAWFeXw1/vxF+LKdiEoNtTCNRhysLV7onWdirN8F0F6UjfFXN+67t605/8Cy5J53dwc8fzeSGONkcH3X42jvZRk1Gp4vsiGJwEeDKOuz0edHukaXqFwwlBt9+y1m6NdTBr7XRcEsZTfHVmphJ4f38OHGGtXRbjbt8Kuh1vXZ3/Bt0+skWdbJsmtaYiCE5cDoywP/gcWhgr0QmNybXgL75HR2gWvC2e9/NTBOqp7YErWB/teB9Zaz9rpo/LcfW1YikNun1RpCuDJVh4wmdnG45VEXQ7/J8KWGv9NYIAdsPVq4smOFn4XPhOY8weBD6zP7PWLmquc9baKtwIKHBTG5u7ImI8n/WZprl6jJ+2sP3ioNt7he80xuQAx/tWtwP/auZ4fv5/OhlC6zyJSAZRgXARkfR3q7X2lpbcwfcf+IODNjVb/NpaW2uMmYcbfQJwKG7kRTQftaBLU4OOezShf3BO8P1cba1dbYzxX73O+Nq+FqGt/5gRGWMKcSMdfgD0irOP8bSrpekf4+GPbXB1V/xmR2vrZ61dbozZQnoVnT2IQHHeClxx2OYsxH1Z7eS773BC33sHB92eG2c/5uGK0HvFIFw9r71963Nx07k2N3O/4OTv0caYAXE8VvBInJL4u9hmMc8Rn+Dn2yQxgStS7Bdv8f6ZuNFD4D6/Ghlj+uNqgcV9TGvtRmPMctyULv8xlwY1Ce5js+d5ULtYify3CZxDhwJLjTFP4IrlfxJt5FQbhI8Y6oRLCrRG56Db0Y7xHIERMBcAfw1vYIw5gkDiYiNu+mG44New0PfPg3gEF4YvIfbnWkt+x2WKxc3sDx/ZtqSZ9luCbkc6jw/CvafA/f68P2yAYDQjg24n87NLRBJIySYREW/qRuBqVeCuxhaP1UG3m0u+tGSKx9Sg2xP8N3xJoVHBbay1m40xn+L+SA1um4/vKne4ek0Rv9z5pt79l/hHKvnFmtLhV26bv4JSNwJXZIL4R+Z8RXolm4KnZZbGM5LGWttgjCkl8OU8/D0Ucsw4+1EWa6cx5lYCVx+MZLO19tdxPlYyPELg768PgFN9o3Ka0y/o9qRWPG74lNT2tC2ONrVBt3Mj7A9+ryTi8yv4eJXW2ng/v1YT3/u5Jed5VL7Pv8twSZhc3BftW3xLhTFmLq6W1ZvW2oVxPmYsW8LWe9L6ZFPweyz8uH4v4K5clgMcY4zZ3Vq7PqxN8JTPF6J85gafD3sROko1Xs2dE8mYxphsMc9N664gG3d7XBFvv0jncXCcimifOIlImlKySUTEmzqHrcc7NSK4XXPJl5bUS/LXbeoCHGyM6e6bQjWGQL2mKUHtp+KSTQcaY4p8oz4OJ756TX8mkGiqwX1pexM3Velr3BfNegBjzEBcYXSIb2p5PM85/LXfFcd9oG3TV9pD8PNoSd9ivYeCjxnv61LRzP7v4q5AGM0a3JWo0kUtgb+/SnCjAeJ5feOpoRZLdvNNEiaeKX7Nac37L973Xirfz80+trX2BWPMUuBm4GQCX+I7A8f6lt8YYz7CFYqfEedjR7I6bP2ACNviFTwtLeIxfKPF3gFOwr0nzwP+6N9vjMkFzg66S7RpyG09H6D570FtrQmYjlp0bsY5XTeWZMRJRNKUajaJiHhT+Bf08No50QS3i1SQtVV8/5n+0LcaXIspuObJlAi3DYHRTcFtp0Z6HN9UmXN9qw3Aidba71tr37DWrrDWVoRNQ4lnNFNLhb/28dZciTdGyRL8PFrSt1jvoeBjZurr0laX4y4BD+5KhFN99WeaE5ykOMNaa1q6JPyZtK/WvP/ife+l/fvZWrvQWnsGburfqcDvcKM5g0eEHQZMMcacFedjR7IAl5T3Gx2tYSy+2lLByaYPo7UltAZTeOH6EwmMVFwWrWA+oefDG605H3yFqKV9Bcfpf62M0y2p6ryItI2STSIi3rSN0C8l8da8GRh0O+YVY1phatBtf+Jogu/nKmtt8LSq6QT+AxveNvxYwY4hUKfm39baKVHa+cVT96althH65S3e1z7d6lIETyEpDr8SVyS+qzsFP4/w91DwenGc/YjZzlo7sJkvKgPjfJxkKcO9l4MTTlPiSDhtCLq9ezv0K90Ev/8S8fkVfLxCY0y8tdziPWa7nOfW2q2+ZPnPrLVjcVP5LiEwHS8beMg3JbnFwopmA5wbz7kewVmETh+O9dn7OoHE3WHGmH2D9gVfha5JYfAgHe18yFSKk0gHpmSTiIgH+Ya+LwzaNDZK00a+q8YEF+X8OMHdmhp0e0Kkek1+1totwKKgtnHVayK0PkQ8RYrDr4zXZr7XPvjKSM2OFDDGDCF23aFU+B/gHwXWBTgwjvsMJzByo57Q1wFC35OHx9mPaJfTzljW2vCE01CaTzgFF1TvCFdnCr76XLOfXxHahXx+WWvXAt+05Ji+hNQ+0Y4Z1sd4RwQ1d5XPmKy1230jco7BfRaCS0C15biPBt0ehBtJFTdjTDZwbdCmz4CoU/t8U6D/GbTpfN9xugCn+JsBf4vxsMHnw8ERrnwp6WEhgfdpH2PM4BT2RUSSTMkmERHvCr7s+Xfj+G/1aQQSHuH/7U4Ef90mcPWYTiHwn/BI/wWf6vs5DJgMFPjW5/r+Gx9JQ9DtmNNafNM+Lord5VYLfj4XRG0V0F79aDVr7Q7cFBu/i+O426VBt+dFKHw9Nej2ScaYmPU8jDFH0j6jz1LOl3A6mqYJp2j//Q++guMZxpi+7dm/NBD8+XWIMeagWI195/O5QZv+G6FZ8Hl5cRx9uJjA38rrgGUxjjcibIROpD4Opo3JJj9r7SpCrxTWlvfDy4TWWHqguXMzzLWEXpnv93HU+ok0le7bBOryzbLWfkkU1tovcHX4wP0euTRaW0kdX2Ix+Fz8Yar6IiLJp2STiIh3/YVA8uVQXK2YiIwx3YF7gjY9b62N54pScfPVSvL/t9sAvwraHSnZFLzt5mba+n0RdPtbvv+4R/MH2vYFLZYngm6PNsZETTj5voD+pJ360VbBIx5+FOsLvzHmMOCKoE2PRGj2H9yXdnDFju+Icbw84PfxdzXz+KaOHk3gfTsUV8OpScLJWjuPQLKuEHjW9xo1yxiT57tKY8aw1i7FTaf1+5OveHQ0t+HqG4G7mtrfI7QJfj+fboyZGO1gxpgBwE3B9w1PoFhrPwdmBW263zeVNNLxsoAHCEzzjfa4cU3v8322BY+E+yZa2+b4aup9j8DvixLg376RRs314yxCf3e8Czwdx8P+F1jru72XMWYsofWbohUGD3Z30O3bjDHxjL4EIEZSVxIvOE5XG2OOi/eOipNIZlOySUTEo3z/+Q7+cvUnY8yPwr8M+ZId7+IuHw3ui9pv2qlbU4Nu+4vJrrDWrovQdjqBLz/BhWenNm3a6L8Ergo1GHjGl0hrZIzpaox5DPgB7XQFOGvtckK/cD1ujPlueDtjzAjgPdzUs5rw/WngbwSmwuUB7xhjjg5v5Pvy8G8CVw36GHg+vJ3vS+0tQZt+aIy5OzxpYozpDfwDN9WuGg/zJZwmEEfCCbiaQFHq44Hpxpio0xGNMfsYY36FG7WSiVPvfk5gKudRwD+MMX2CG/gSaXcSmrC91Vrb5CqGvhpu/w7a9Eqk4tq+xOn7QHffplJcoiiSmwjUlzsB+Hukzxxc8mQSzZ/nvzPGTDfGXBR+nKDjFeH+meBPNm0nNOnVYr7XJviqjWOA/xljTouUtDfG9DPGPAS8SOBKh18BF8VzBTNrbQOhnxE34KYGgnuNXoqj288RGDXTBfjQGHNFtCSs77P/fGPMVODBOI4vCWCtnQY841vNAd4yxvzcGBN+5VYAjDEFvvfd68AbyeqniCSeLiUpIuJt1wMjcLWYcoA/ATcaYz7EfWkdhKtb5P+yUAdcaq1d3U79mRphW8SRStbarcaYhbhRWX7VwJxoB7fWlhtjfk9gJNT5wCRjzFzcf9H3wH2x74R7rj8k8Edwov0U94VtKJAPPG2MuRk3PbEaNz1wFG6kwz9xUxjHRz5Um/3GGPPjFrS/zFq7wFpbY4w5D5gG9MYVeP2vMWYRgfpLB+NqNfl9A5xnrQ0uUB/scdxlz/11YX4GXOr7ArgFVxD8aNy0yS9wxYT9iYQG2oHvfRavddbabyXy8a21pcaYCbjzY28CU+qOttauD2q32BePF3HTRA8H5hhjVuESfFtwr1sf3FTV/onsZ7JZa2cZY27EXYkN3NTbr4wxU3AJoB6490pwvbNXgT/GOOwlwEzcZ19n4CVjzApcDaAaYH/c6+ofgbQT937eGqWPU32fOTf4Np0DnGyM+S+wHjd68hjfY5UD9xOacA1ncIm1o4B6Y8xS3HSxctyItv64xGFwQuV633SlNrHW3maM2YUbUWhwxdFfBTYZY+b4ns9uuNduJKH/tP4UmGSt3UD8nsP9jgI3jdvvLWtteRz9rTfGnI1L2B8CdMWNqLzHGDMb95lfj3ufDAX2I/Dd5x8t6Ke03RW4378n4N67dwC/9P1u/gr3O7E77r11AO53Jrjp9yKSoZRsEhHxMGvtLmPMMbhpXWf7NhcTWtvE72tcounfEfYlyse4/8J3DdoWa1rcVEKTTXNi1Gvy+w3uS5K/DlJP3IiCYFtxXzoXNnOsVvMlvo7BJUtG+Dbv7VuCvYGrDfNme/UFNy2mJVfBavyPs7X2c1/tpBcI1GUZTmiCye9j4GzfqLqIrLXWGHMObuSX/31YhKvXEuxz4HRC61ltb8FzaIlIzyWa7u3RAV/C6Wjc+bA3sC+RE07/8k05egI4zLd5kG+JZjXuKngZx1r7e2NMOXAv7nMjHzgxQtN6XDL9ulgja6y1G4wxR+Cm2flH0gzxLeFWAt+x1s5vpo8/M8bU4xKnWbhk9ilhzdYBZ+KSHrHsCLqdjUtKD4vR9jpr7V+aOWbcrLX3GmPm46YZ+y8Y0Qs4OcpdKnHJvTsjjSZr5rEWGWMWEzpyFWJfhS78GJt98bwXuAz33aYrEHWKpK/PSmIkkbW22hjzLdzouetwScvdCFxtNpJaYvxzSUTSn6bRiYh4nLW2wlp7Du7qSw/jvsRvw/0Xfx1uCt01wJB2TjSF123ymxrjLuGJqFhtGx/DWvtd3Je9N3EjbWp9PxfgakUNs9a+Flen28A3PXA0rh7KB7hLpdfgRmX8C3e58NN8xbjTlm9a4AjcqI2XcMmLXb5lNW6kzVnAiFiJpqDjVVtrz8N9IXwZlwipwV0meyZuuthIa+0yXLLQb2tCnlCastZ+RWgNJ3/CafewdoustSNwr9/DuCsHbsKN1tuJi8k7uMTrEcDe1tqFSXgK7cJa+wQumfYL3OfHBtw57b9q5R+Ag6y1P/Z9xjR3vA3W2mNxSeincUmlCtzoilJcAvh7wP7NJZqCjvlz3EjFJ3GvfzWwGZfUuAkYbq1t9qIL1tqrcaOrrsElxBbhRjXV4S7csBb3mX09MDiRiaagPszAje46GvfaLvA9bg3ud8cK3Gv0A2Ava+1NLU00BQmvzbQVeKuF/a201l6JSxj+Cvd7Yy3u9arBfe7OBR7DfYbtbq29s5X9lVby/W6+GffPoOtxNfy+wv0eqcWdLx/jRhtfDPS31l6Vks6KSEKYOKZVi4iIiKSEMWYmgcvUj7bWzo3VXkRERERST8kmERERSUu+K4Ktwk0nqgG6xTGNUkRERERSTNPoREREJO0YYwyumLK/eP2rSjSJiIiIZAYlm0RERCSpjDG/McZca4zpFWX/QNxVsPxXrKvHXSFLRERERDKArkYnIiIiybYnrpDv740xnwJLcYWHO+OKYh9CYEQTwG3W2gVJ76WIiIiItIqSTSIiIpIqObjE0iFR9lcCN1trNapJREREJIOoQLiIiIgklTGmO26K3DHAMKA30As3mmkLsAz4AHjCWvt1iropIiIiIq2kZFOG8F2R5xrgJKAEqMZdoecl4M/W2l0p7J6IiIiIiIiICKBkU0YwxpwCPAd0jdJkOXCStXZl8nolIiIiIiIiItKUkk1pzhhzCDATKAQqgDuBKb71c4Hv+5ouB0ZYa3ekop8iIiIiIiIiIqBkU9ozxkwHjgLqgHHW2tlh+28A7vGt3mqtvSW5PRQRERERERERCVCyKY0ZY0YBc32rj1prfxChTRawGNgP2Ar0sdbWJq2TIiIiIiIiIiJBslLdAYnptKDbT0VqYK1tAP7qW+0OHN2+XRIRERERERERiU7JpvR2pO/nTuCjGO2mBd0+ov26IyIiIiIiIiISm5JN6W0/38+V1tq6GO2WRriPiIiIiIiIiEjS5aS6AxKZMaYA6OVbLYvV1lpbbozZCXQCSlrwGMXNNMkD9gW+ATYC9fEeW0REREREREQyQjbQ23f7U2ttdVsPqGRT+uoSdLsijvb+ZFPnFjxGaYt6JCIiIiIiIiJeNhJY0NaDaBpd+ioIul0TR3t/5rGwHfoiIiIiIiIiIhIXjWxKX1VBt/PiaJ/v+1nZgsdobspdf2AOwPTp09l9990jNsrLyyM7OxuA+vp6ampi58YKCwP5sNraWurqopejysrKIj8/v3G9pqaG+vros/lycnLIzc2lqqqKOXPmYK3l0EMPJS8v8kuYm5tLTo47DRoaGqiujj1aMD8/n6wsl6Otq6ujtrY2altjDAUFgZxhc881Ozs7pJ/V1dU0NDREbe9/rn6VlbFDn45x8quqqsJaG7W9tZZ58+YBcPjhh8fsNyhO0bR3nOI9n2pqavj4448BGDNmDAUFBYpTkHSJk19z51NwPA877DC6du3auE9xit73ZMcpWHPnU3BMDz30UAoLCxWnKDLh74jwePrbKE7RpfPfEdu2bYsYTz/FKbJ0/TuiqqqK2bNnA5Hj6ac4RZaOf0fE+z003eK0ZcsWRo8e7V/dGLNxnJRsSl87gm7HMzWuk+9nPFPuALDWxqwFZYxpvL3XXntRXNxciaf0UVlZSZcubibi3nvvHfIBLZmnsrKSzz//HIDi4mLFM8NVVlaycuVKAPr37694ZrjgeO61116KpwcEx1S/QzOf4uktRUVFiqeHVFZWNv6TRvH0hkz9HlpWFpIaSEitZk2jS1PW2ipgs281ZpbHGNODQLJJdZhEREREREREJGWUbEpvn/l+DjbGxBqFtm/Q7c/bsT8iIiIiIiIiIjEp2ZTePvT97AQcFqPd+KDbM9uvOyIiIiIiIiIisSnZlN5eC7p9SaQGxpgs4CLf6lZgSvt2SUREREREREQkOiWb0pi1dh4ww7d6qTFmTIRm1wH7+W7fb62NXt5fRERERERERKSd6Wp06e9a3NS4QuBdY8wduNFLhcC5wOW+dsuBP6SkhyIiIiIiIiIiPko2pTlr7SfGmHOA54CuwB0Rmi0HTrLW7khq59JYbm4uI0aMaLwtmU3x9BbF01sUT+9RTL1F8fQWxdNbFE/vUUwDjLU21X2QOBhjBuBGOZ0EFAM1wErgZeBP1tpd7fCYxUApQGlpKcXFxYl+CBERERERERFJobKyMkpKSvyrJdbasrYeUyObMoS1dg3wU98iIiIiIiIiIpKWlGwST2poaKC6uhqA/Px8srJUCz+TKZ7eonh6i+LpPYqptyie3qJ4eovi6T2KaYCSTeJJ1dXVvPvuuwCccMIJFBYWprhH0haKp7cont6ieHqPYuotiqe3KJ5N1dTUUFFRwc6dO6mpqaGhoSHVXYpbQ0MDGzduBKB3794dOjHhFamKaXZ2NgUFBXTt2pVOnTphjEnK48aiZJOIiIiIiIhkFGstmzZtYtOmTanuSqtZaxsThvX19RmVKJPIUhXTuro6qqur2bZtG4WFhey5554pT14q2SQiIiIiIiIZ5euvv2bbtm0h24wxZGdnp6hHreMfgZKTo6/mXpGKmNbX1+O/+FtlZSVfffUVAwYMSOkIJ72jRUREREREJGNUVVWFJJqKioro2rUr+fn5aTF9KF4NDQ1s374dgK5du6Z8JIq0Xapi2tDQQEVFBevXr6e+vp7Kykp27txJ586dk/L4kejdLCIiIiIiIhlj69atjbf79OlDnz59KCgoyKhEk0giZWVl0bVrV3bffffGbTt27Ehhj5RsEhERERERkQyya9euxtvdu3dPXUdE0kznzp0bk66VlZUp7YuSTSIiIiIiIpIx6uvrAVcTJ9NqNIm0p6ysrMZzwn+epKwvKX10ERERERERERHxFOOvWC4SzhhTDJQClJaWUlxcnOIexa+hoYHq6moA8vPzVWwvwyme3qJ4eovi6T2Kqbcont6ieDorVqygrq6OnJwchgwZkurutJq1tvEKYsYY1ZzygHSIaWvOj7KyMkpKSvyrJdbasrb2Q1ejE0/KysqisLAw1d2QBFE8vUXx9BbF03sUU29RPL1F8fQWJZi8RzEN6JipcBERERERERERaRca2SSeVFdXx4YNGwDo27cvOTl6q2cyxdNbFE9vUTy9RzH1FsXTWxRPb7HWUltbC0Bubq5GxHiAYhqgkU3iSbW1tSxYsIAFCxY0nuySuRRPb1E8vUXx9B7F1FsUT29RPL3FWsuuXbvYtWsXqqXsDYppgFLh4jnWukVEREREREQSY+fOnTz77LO88cYbLFq0iM2bN2OtpWvXrgwcOJADDzyQMWPGcOKJJwYXm5YgFRUVfPzxx8ybN4958+Yxf/58Vq9eDcCAAQMab3uBkk3iOUuWwNixBfTuPZ7+/SuYMyeH/feHIUPcUlSU6h6KiIiIiIhkjtmzZ3Puuefy1VdfNdm3adMmNm3axIIFC3jqqafo27cv69evb9JuwoQJTJs2jfHjxzN16tR27/PAgQNZs2YN3/3ud3n66afb/fHiccoppyTluacDJZvEc1asgB07DDt2dOeLL7ozY0bo/p49A4kn/7LPPu5n166p6bOIiIiIiEg6Wr58ORMnTmTHjh0ATJ48mTPPPJN99tmHvLw8Nm3axKJFi3jvvfeYMmVKinub3oKn1vXs2ZMRI0Ywa9YsKioqUtir9qFkk3jOihWx92/ZAnPnuiVcnz6hySf/MngwdOrUPv0VERERERFJVzfddFNjoumpp57i4osvbtLm+OOP5/rrr2fjxo289NJLSe5h5vjOd77DFVdcwciRIxk8eDDgRmAp2SSSAZpLNsXyzTdumTmz6b7+/SOPiNp7bygoaP1jioiIiIiIpKP6+nreeustAEaMGBEx0RSsd+/e/OhHP0pCzzLT5ZdfnuouJI2STeI5t94Kp55azZtvLmXdus7U1g7kiy+y+fJLqKtr/XHXrnVL+BRbY2DPPSOPiNprL8jNbdPTERERERERSYmNGzdSWVkJ0DgSp6Uuvvhinnnmmcb1adOmYYwJaRNeHHvnzp3861//4r333mPBggV8+eWX7Nq1i+7du7P//vtzyimn8IMf/IDOnTs3eTx/bSi/Z555JuTxgah1o9avX8+DDz7IO++8wxdffMHOnTvp06cPY8aM4fLLL+e4445r1WvQESnZJJ7Trx/07GnJzXVF6caP709BQTa1tbBmDSxf7kY/BS+rV7f+CnbWuuOuWQPvvx+6LzvbJZwi1Yfac0+3X5pnjKHAN3ws/BeTZB7F01sUT+9RTL1F8fQWxdN70j2OeXl5jbc///zzpD3uSSedFJIw8tu0aRPTp09n+vTpPPTQQ7z99tvsu+++CXnMv/3tb1xxxRXs3LkzZHtZWRkvv/wyL7/8MpdeeimPPPIIOTnRUynpHtNkMVbXiJcojDHFQClAaWkpxcXFKe5R+6muhi++CCSfghNSZWXt85h5eW4KXqQRUf37Q1ZW+zyuiIiIiEgmW7FiBXV1deTk5DBkyJBUd8fz/Fd1A7jrrru44YYbyGrBl5W1a9dSXl7OJZdcwoIFCxgxYgRPPfVUSJu8vDz22WefxvUjjzyS7du3M3nyZEaMGEG/fv2w1rJmzRpeffVVXnrpJRoaGhg6dCgLFy5sTMICfPnll+zcuZOJEyeybt06Tj31VG677baQx+vUqRN77bVX4/pLL73Eueeei7WWvffem6uuuor999+f3r17s3r1ap544gnefvttAH7yk59w7733xv8CNsP/+oaP7mqt1pwfZWVllJSU+FdLrLVt/hasZJNE1ZGSTbHs2gWrVkUeERXhip4JUVjoipJHGhHVt6+buiciIiIi0hHF9WW6oQE2b05ux1KtqKhd/mP9hz/8geuvv75xfeDAgUyePJmxY8cyatSokKRNLP7pbdGmsAVbsWJFzETJ+++/z8SJE2loaODxxx/n0ksvbdLGn8T57ne/y9NPPx31WJs2bWLw4MFs27aN733vezz66KMRRy7ddNNN3HHHHWRlZfHZZ58xdOjQmM8hXl5NNmkanUgzdtsNDjzQLeG2b4eVK0MTUP6kVFt+t1VWwqefuiVcly6BRFT4iKiiIiWiRERERETYvNldaroj+eYb6N074Yf9yU9+wmeffcaTTz4JwOrVq3nggQd44IEHAOjbty8TJkzg/PPP5+STT07INLLmkiTHHXcckydP5rXXXuO1116LmGyK18MPP8y2bdvo378/Dz30UNQpcrfeeivPPPMMa9eu5a9//Su33357qx+zI1CySTyptraWZcuWATB06FBy26lKd9eucOihbglXXh55Wt6KFbBtW+sfc8cO+OQTt4Tr0SPyFfOGDIFu3Vr/mKmWrHhKciie3qJ4eo9i6i2Kp7conpIKWVlZPPHEE5x77rnce++9vP/++9QFXXlpw4YNvPjii7z44ouMGDGCF154gUGDBiW0Dxs3bmTr1q1UV1c3buvtS6wtWrSoTcd+4403ADj55JPJz8+P2i4nJ4cxY8bwyiuvMHv27IhtGhoaGvuYn5/foumGXqNkk3hSXV0dq1atAmDQoEEp+UXcoweMGuWWYNbCxo1Np+T5E1K7drX+McvLYd48t4Tr3TvyaKjBgyHCRRzSSjrEUxJH8fQWxdN7FFNvUTy9RfGUVDr++OM5/vjj2b59OzNnzmT+/PksWLCA6dOns8333/QFCxZw1FFH8dFHH7HHHnu06fFmzpzJAw88wPvvv8+WLVuittu0aVOrH6O+vp6FCxcC8Oijj/Loo4/Gdb/1MeqpBCebOjIlm0SSzBg3ordPHzjiiNB91sLXX0ceEbVypStk3lobN7pl1qym+/r1izwiatAgCKq1JyIiIiIiHVzXrl2ZNGkSkyZNAlxy5e9//zvXXXcd5eXlfP311/zqV7/i8ccfb/Vj3HLLLdx6661xta2srGz142zZsiVklFa8drVlhEAHoWSTSBoxxiV++vWD8eND9zU0QGlp5BFRX3wBrfiMbLRunVvCry5qDJSURB4Rtdde7op6IiIiIiJpp6jI1TBKYw0NDezYsQOALl26tH3KVVFRAnrVcvn5+VxyySX069ePE088EYB//vOfPPbYY616Th988EFjomnvvffm+uuv58gjj2TPPfekU6dOjTWVbr75Zn7729+2qe/19fWNty+77DKuvfbauO6Xpy9CzVKySSRDZGXBgAFuOe640H11dbBmTeQRUatXu0RVa1gLX33llg8+CN2XnQ0DB0YeETVggNsvIiIiIpISWVntUiw7oRoasP6pVl27tsuV5JJp4sSJlJSUUFpaSnl5OZs3b26sq9QSf/nLXwDo0aMHc+bMiXqMWFPr4tWzZ8/G29ZaDjjggDYfUxwlm0Q8ICfHTXkbNAh8/0xoVFMDX37ZtEj58uVupFRr1dfDqlVu+c9/Qvfl5sLee0ceEVVcnPG/R0VEREREJIJ+/fpR6vuSEX5VunivUrdkyRIAjj766JjJqgULFsQ8TjyPl5eXx7Bhw1iyZAkzZ86Mq38SHyWbRDwuLw+GDnVLuMpKlyyKNCLq669b/5i1tbBsmVvCFRS4ouSRRkTtvrubuiciIiIiIpll165dfPbZZ4Cr61QUNq2vwFcMtrqZQrT+Gko7d+6M2uaTTz5h7ty5MY8T7+NNnjyZJUuWsHTpUt555x0mTpwYs73ER8kmkQ6ssBAOOMAt4SoqXFHySCOi2nDBB6qqYPFit4Tr3DmQiAoeEVVc7Kb0KRElIiIiIpI8FRUVHHvssfzqV7/iW9/6VtQaTA0NDVx99dWNNagmT57cZGSR/+p0X3zxBdbaqCOPhgwZwtKlS/nwww9ZuXIlgwcPDtm/ceNGLrzwwmb7vscee7B06dLGKzhGc+211/Lggw9SUVHBJZdcwnvvvcewYcOitn/rrbcoKSnhoIMOarYPHZmSTeJJ2dnZ9OvXr/G2tFznznDwwW4Jt3Vr0wSU//bWra1/zIoKWLjQLaEK6dz5JPbeu5IPPshj7FgYPdrVhlICKvPo/PQWxdN7FFNvUTy9RfH0ntzc3FR3oVnz5s3jlFNOoX///px22mmMGTOGAQMG0KVLF7Zu3conn3zCk08+yaeffgpAt27dIhbuHjt2LE899RTffPMNP/3pT7ngggvo1q0b4F6HAQMGAHDRRRfx5ptvsnPnTsaPH8+NN97IYYcdBsCsWbO49957Wb9+PWPGjGH27NlR+z127FimTJnC/Pnzueuuu5g0aRKdOnUCoLCwkP79+wPQt29fnnnmGc4880y+/vprRowYwcUXX8ykSZMoLi6mtraWsrIy5s2bxyuvvMIXX3zBm2++GTXZFCumK1eu5MMPPwzZVlFR0fjz6aefDtl34oknsvvuu0c9Xjoz1tpU90HSlDGmGCgFKC0tpbi4OMU9knRnLWze3DQB5V98n6MJ06ePSzodfrhbRo50tRVFRERExLtWrFhBXV0dOTk5DBkyJNXd8bSqqir22msv1q9fH1f7IUOG8Pzzzzcmh4JVVFQwfPhwvvjiiyb7BgwYwOrVqxvXv/e97/HUU09FfIzs7Gz+8Ic/UF5e3njVukh5jbVr13LQQQdFLCQ+fvx4pk6dGrLtzTff5OKLL2628HhWVhbvv/8+Rx99dMx2kTz99NNccsklcbefMmUKEyZMaNFjtOb8KCsro6SkxL9aYq0ta9GDRqCRTSKSMMZAr15uGTMmdJ+1sH590wTU8uVuul5VVcsf75tv4I033OJ//P33D01ADRumK+OJiIiIiLRGQUEBa9euZc6cObz//vvMmTOHZcuWsWHDBqqqqujUqRP9+vVj+PDhnHrqqXz7298mLy8v4rE6d+7MrFmzuPPOO3n33XdZs2YNu3btitj2ySef5JhjjuGxxx5j4cKF1NTUsPvuuzNu3DiuuuoqRo0axS233BKz7/3792fevHnceeedTJs2jbKyMqpifOk45ZRT+PLLL/nLX/7C22+/zZIlS9iyZQs5OTnsvvvuDBs2jGOOOYYzzzwzODEjUWhkk0SlkU2SLA0NsHZt5BFRq1a5guOt1bkzjBjhEk/+JJRvuriIiIiIZCCNbBKJTiObRNpRdXV149UJDj/8cPLz81PcI4klKwtKStxyzDGh++rqYMWKat58cznLlnVh3boS5s/PZvPm+I5dUQFTp7rFr6QkdPTTYYe5YumSHDo/vUXx9B7F1FsUT29RPL2loaGh8YprnTp1ilp8WzKHYhqgZJN4UkNDA+Xl5Y23JXPl5MDAgQ0MHfoFQ4fCCSf0paCgkFWrYO5ct8yZ44qKxzsCqrTULS+/HHiMgw4KHf00ZIhLgkni6fz0FsXTexRTb1E8vUXx9J76+vpUd0ESTDF1lGwSkYxjDAwe7Jbzz3fbqqpcwmnOnEACKqjGYEx1dfDxx255+GG3rXv3wMin0aNh1CgoKmqHJyMiIiIiIuIxSjaJiCcUFLik0OjRgW0bNsC8eYEE1Lx5sGNHfMfbuhXeecctfoMHh06/Gz4cotQ/FBERERER6bCUbBIRz+rbF045xS0A9fWwdGno9LvFi12B8nisXOmW555z6/n5cOihodPvBgxwI69EREREREQ6KiWbRKTDyM6GYcPc8r3vuW0VFbBgQWgC6uuv4ztedTXMnu0Wv759Q6ffjRwJXbok/rmIiIiIiIikKyWbRKRD69wZJkxwC4C1UFYWSDzNnQsffQSVlfEdb8MGeOMNt4Ab5bT//qHT74YNc4kvERERERERL1KySUQkiDFQUuKWM89022pr4dNPQ0c/LVsW3/GshSVL3PLEE25b584wYkTo9Ls99mif5yMiIiIiIpJsSjaJJ+Xk5DBs2LDG25LZUh3P3FxXm+nQQ+HKK9228nJXcDw4AbVlS3zHq6iAqVPd4rfnnqHT7w49FAoLE/1M0kOq4ymJpXh6j2LqLYqntyie3lNQUJDqLkiCKaaOsdamug+SpowxxUApQGlpKcXFxSnukUj6shZWrQqdfrdwoRsV1Ro5OXDQQaHT74YMgayshHZbREREJOOsWLGCuro6cnJyGDJkSKq7I5JWWnN+lJWVUVJS4l8tsdaWtbUfSoeLiCSAMTB4sFvOP99tq6qCTz4JTUCtXh3f8erq4OOP3fLQQ25bjx4walRg9NOoUVBU1C5PR0REREREpNWUbBIRaScFBTBmjFv8NmwITL2bO9dNxduxI77jlZfDO++4xW/IkNDpdwcdBHl5iX0eIiIiIiIiLaFkk3hSZWUl7777LgAnnHAChV4tftNBeCmeffvC5MluAaivh6VLQ0c/LV4MDQ3xHW/FCrc895xbz8939Z6Cp98NGOBGXqULL8VTFE8vUky9RfH0FsXTWxoaGti+fTsAXbt2JUv1EjKeYhqgZJOISAplZ8OwYW753vfctooKWLAgNAH19dfxHa+6GmbPdotf376hV74bORK6dEn8cxEREREREQElm0RE0k7nzjBhglvAFR8vKwsknubOdcmoqqr4jrdhA7zxhlvAjXIaNix0+t3++7vEl4iIiIiISFsp2SQikuaMgZISt5x1lttWWwuffhqagFq2LL7jWeum6i1eDE884bZ17gwjRoROv9tjj/Z5PiIiIiIi4m1KNomIZKDcXFeb6dBD4Yc/dNvKy13B8eDpd1u2xHe8igqYOtUtfnvuGTr66dBDQaUhRERERESkOUo2iYh4RI8eMHGiW8CNYFq1KnT008KFblRUPL76yi0vv+zWc3Jg+PDQBNSQIelVfFxERERERFJPySYREY8yBgYPdssFF7htVVXwySehCajVq+M7Xl0dfPSRWx56yG3r0QNGjQpMvxs1CoqK2uXpiIiIiIhIhlCySUSkAykogDFj3OK3YUMg8TRnDsyfDzt2xHe88nJ45x23+A0ZEnr1u4MOgry8xD4PERERERFJX8Zam+o+SJoyxhQDpQClpaUUFxenuEfxq6+vZ9u2bQB069aNbF1mK6MpnslVXw+ffx6agFqyBBoaWne8/Hw47LDA9LuRI+vp1m0bxiieXqDz03sUU29RPL1F8XRWrFhBXV0dOTk5DBkyJNXdaTVrLfX19QBkZ2dj0rw2wc6dO3n22Wd54403WLRoEZs3b8ZaS9euXRk4cCAHHnggY8aM4cQTT6SkpCTV3U2J5mK6evVq3nzzTaZOncr//vc/1q5dS0NDA7169WLEiBGce+65nHnmmeTktH5cUGvOj7KysuCYlVhry1rdAR8lmySqTE42iUhiVVTAggWB6Xdz5sD69a0/Xt++MH48/OpXcMABieuniIiIeJ9Xkk2ZZPbs2Zx77rl89dVXzbbt27cv6yP8oThhwgSmTZvG+PHjmRp8VZp2MnDgQNasWcN3v/tdnn766XZ/vOb86le/4vbbb6e5HMzIkSN55ZVX2HPPPVv1OOmSbNI0OhERaVbnzjBhglvAFR8vLQ0d/fTRR64mVDw2bICXXoIZM2DFCujUqb16LiIiIiJtsXz5ciZOnMgOX52FyZMnc+aZZ7LPPvuQl5fHpk2bWLRoEe+99x5TpkxJcW/T19dff421lk6dOnH66adz7LHHMmTIEAoKCvj888954IEHmD9/PvPnz+e4447j448/pnPnzqnudqsp2SSepCHG3qJ4ph9jYM893XLWWW5bbS18+mno6Kfly2Mf5+uvYcoUOPnk9u+ztA+dn96jmHqL4uktiqe3ZMo0uptuuqkx0fTUU09x8cUXN2lz/PHHc/3117Nx40ZeeumlJPcwfcSKaVFREXfffTdXXnklXbp0CbnfYYcdxnnnncd3vvMdXnrpJVasWMG9997LzTffnNT+J1JWqjsg0h5qamqYMWMGM2bMoKamJtXdkTZSPDNDbi4ceij88IfwzDOwbBls3gz/+Q/ccgtMmgQ9eza938yZSe+qJJDOT+9RTL1F8fQWxdNbrLVUVFRQUVHR7NSqVKmvr+ett94CYMSIERETTcF69+7Nj370oyT0LD3Fiundd9/Nz372syaJJr/s7Gweeugh8nxX1nnllVfavb/tSckmERFpNz17wsSJ8Otfw9tvw6ZNcM01tSFtZs1KUedEREREJKaNGzdSWVkJwODBg1t1jIsvvhhjDNOmTQNg2rRpGGNCloEDB4bcZ+fOnbz44otcdtllHHzwwXTr1o3c3Fx69+7N+PHj+f3vf09FRUXEx5swYQLGGNasWQPAM8880+TxJvhrQ4RZv349N910EyNGjKBnz57k5+dTUlLC2Wefzfvvv9+q598SRUVFHHTQQQCsWrWq3R+vPWkanYiIJI0xMH58Aw88ENg2b56bgpebm7p+iYiIiEhT/lE2AJ9//nnSHvekk05qTE4F27RpE9OnT2f69Ok89NBDvP322+y7774Jecy//e1vXHHFFezcuTNke1lZGS+//DIvv/wyl156KY888kibrhbXnOrqaoCMnyarZJOIiCTVqFENIetVVbBwIYwcmZr+iIiIiEhkPXv2ZMCAAaxZs4ZFixZx9913c8MNN5CVFf8kqdtvv53rr7+eSy65hAULFjBixAieeuqpkDbBSS2Auro6DjzwQCZPnsyIESPo168f1lrWrFnDq6++yksvvcSXX37JaaedxsKFCykoKGi871NPPcXOnTuZOHEi69at49RTT+W2224LOX6nsKvTvPTSS1x44YVYa9l777256qqr2H///enduzerV6/miSee4O233+aJJ56ga9eu3HvvvXE//5b45ptvGpN6++23X7s8RrIo2SQiIklVVATFxTsoKwvMV581S8kmERERSZyGBlc7Mp01NMCOHa6AdHU1tCB/E1FRUduPEcnVV1/N9ddfD8CNN97II488wuTJkxk7diyjRo1ir732inn//v37079//8YET6dOnTjggANi3uepp55iyJAhTbYffvjhnH322Vx66aVMnDiRZcuW8be//Y1LL720sY2/P7m+YfPdu3eP+XibNm3i8ssvx1rL9773PR599NGQkUuHHnooZ5xxBjfddBN33HEH999/P1dccQVDhw6N+Rxa43e/+x11dXUAnH322Qk/fjIp2SQiIkk3dOiWJsmma69NYYdERETEUzZvhj59Ut2L5mQB3RJ2tG++gd69E3a4Rj/5yU/47LPPePLJJwFYvXo1DzzwAA/46iL07duXCRMmcP7553PyyScn5Kp6kRJNwY477jgmT57Ma6+9xmuvvRaSbGqphx9+mG3bttG/f38eeuihqFPkbr31Vp555hnWrl3LX//6V26//fZWP2Ykc+fO5b777gOguLiYK6+8MqHHTzYVCBcRkaTbd98tIeszZ0KaXoRFREREpEPLysriiSee4N133+XEE09skozZsGEDL774IpMnT2bUqFHtUth648aNrFixgsWLFzcuvX2ZtUWLFrXp2G+88QYAJ598Mvn5+VHb5eTkMGbMGABmz57dpscMt2HDBs4880zq6uowxvDMM8+w2267JfQxkk0jm0REJOn22y802bR2LZSWwp57pqhDIiIiIhLT8ccfz/HHH8/27duZOXMm8+fPZ8GCBUyfPp1t27YBsGDBAo466ig++ugj9thjjzY93syZM3nggQd4//332bJlS9R2mzZtavVj1NfXs3DhQgAeffRRHn300bjut379+lY/ZrgdO3Zw0kknUVZWBsBdd93FMccck7Djp4qSTeJJhYWFnHrqqanuhiSI4ukthYWFXHnlsdx8MwT/3TBrlpJNmUjnp/copt6ieHqL4inpoGvXrkyaNIlJkyYB7uppf//737nuuusoLy/n66+/5le/+hWPP/54qx/jlltu4dZbb42rbWVlZasfZ8uWLY01klpi165dEbdnZWXRvXv3uI9TVVXFqaeeykcffQTA9ddfz89+9rMW9ycdKdkkIiJJl5UFY8bAW28Fts2aBeeem7o+iYiIiHcUFbkaRh1JUVFqHjc/P59LLrmEfv36ceKJJwLwz3/+k8cee6xFV63z++CDDxoTTXvvvTfXX389Rx55JHvuuSedOnVqnMZ3880389vf/rZNfa+vr2+8fdlll3FtnEVEw6+e1xp1dXWcffbZTJkypfHxf/e737X5uOlCySYREUmJsWObJptEREREEiErq32KZUt0EydOpKSkhNLSUsrLy9m8eXNjXaWW+Mtf/gJAjx49mDNnTtRjxJpaF6+ePXs23rbWNnuVvERpaGjgwgsv5M033wTgnHPOiXsKX6ZQgXDxpNraWlauXMnKlSupra1NdXekjRRPb/HHc8CAtSHbFy6EiorU9ElaT+en9yim3qJ4eovi6S0NDQ1UVVVRVVVFQ0NDqruTEP369Wu8HX5VunivUrdkyRIAjj766JjJqgULFsQ8TjyPl5eXx7BhwwBXI6qt4o3pFVdcwQsvvADAKaecwnPPPdeqUWDpzFvPRsSnrq6OJUuWsGTJklbNwZX0onh6iz+eOTmfkJ0duARdfT3Mn5/Cjkmr6Pz0HsXUWxRPb1E8vcefmPCCXbt28dlnnwGurlNR2Ly+goICwNV4isX/3t65c2fUNp988glz586NeZx4H2/y5MkALF26lHfeeSdm23g0F9Of/vSnjfWsjj32WF5++eUmV/jzAiWbREQkJQoK6hk+3IZs01Q6ERERkfRRUVHB4Ycfzr/+9a+YI3UaGhq4+uqr2bFjB+ASOOEji/xXp/viiy+w1jY5ht+QIUMA+PDDD1m5cmWT/Rs3buTCCy9stu/+x1u1alXMdtdeey2dO3cG4JJLLmkcWRXNW2+9xf/+979mHz+SW265hT/+8Y8AjB07ltdff538/PxWHSvdeS99JiIiGWP06AY+/jjwfw8lm0RERETSy7x58zjllFPo378/p512GmPGjGHAgAF06dKFrVu38sknn/Dkk0/y6aefAtCtW7eIhbvHjh3LU089xTfffMNPf/pTLrjgArp16wZAbm4uAwYMAOCiiy7izTffZOfOnYwfP54bb7yRww47DIBZs2Zx7733sn79esaMGcPs2bOj9nvs2LFMmTKF+fPnc9dddzFp0iQ6deoEuCs79u/fH4C+ffvyzDPPcOaZZ/L1118zYsQILr74YiZNmkRxcTG1tbWUlZUxb948XnnlFb744gvefPNNDjrooBa9jg8++GBj4fP+/ftzzz338OWXX8a8z9ChQ8nNzW3R46QLJZtERCRlRo9u4KGHAuuzZ0NDgyvqKSIiIiKplZOTw+6778769etZu3Ytf/7zn/nzn/8ctf2QIUN4/vnnGThwYJN95557LnfeeSdffPEF9913H/fdd1/jvgEDBrB69WoAzjzzTC655BKeeuop1q1bxzXXXBNynOzsbP74xz9SXl4eM9l05ZVX8vDDD7NlyxZ+/vOf8/Of/7xx3/jx45k6dWrj+hlnnMHrr7/OxRdfzJYtW3jkkUd45JFHIh43KyurMWnVEv/4xz8ab69du5Yjjzyy2ft8+eWXEV/LTKA/50VEJGVGjw4djl1eDsuWpagzIiIiIhKioKCAtWvXMnPmTG699VYmTZrE3nvvTadOncjOzqZr167su+++nHPOOfz9739n8eLFjaOQwnXu3JlZs2Zx7bXXst9++7HbbrtFfdwnn3ySZ599lqOOOoouXbqQn5/PgAEDuPDCCxuP0Zz+/fszb948Lr30UgYPHtxYwymaU045hS+//JLf//73HHPMMfTt25fc3FwKCwvZa6+9OPnkk7n33ntZvXo1Rx99dLOP39FpZJOIiKRMcbGluBjKygLbZs6E/fZLXZ9EREREJCArK4uxY8cyduzYNh+rb9++ISOaYrngggu44IILou6/5ZZbuOWWW2IeY9CgQY3FuOPRtWtXrrvuOq677rq47xOv4JFUHYFGNomISEodcUTouuo2iYiIiIhkNo1sEk/KysqiR48ejbclsyme3hIez7Fj4cUXA/uVbMosOj+9RzH1FsXTWxRP78nOzk51FyTBFFPHxLrkoHRsxphioBSgtLSU4uLiFPdIRLxowQIYOTJ028aN0KtXavojIiIi6W3FihXU1dWRk5PDkCFDUt0dkbTSmvOjrKyMkpIS/2qJtbYsVvt4KB0uIiIpNXw4FBaGbpszJzV9ERERERGRtlOySUREUio3F0aNCt02c2Zq+iIiIiIiIm2nmk3iSTU1NSxatAiA4cOHk5eXl+IeSVsont4SKZ5jx8K0aYE2qtuUOXR+eo9i6i2Kp7cont7S0NBAZWUlAIWFharD5QGKaUDHfebiafX19axbt45169ZRX1+f6u5IGyme3hIpnuFXpJs3D2prU9A5aTGdn96jmHqL4uktiqf31NbWUqs/ejxFMXWUbBIRkZQbPTp0vaoKFi5MSVdERERERKSNlGwSEZGUKyqCffcN3aapdCIiIiIimUnJJhERSQtjx4auK9kkIiIiIpKZlGwSEZG0EJ5smjkTrE1NX0REREREpPWUbBIRkbQQXiR87VooLU1NX0RERCR9ZWdnA65gutV/pkQaWWsbLx6Q6ivhKdkkIiJpYZ99oGfP0G2aSiciIiLh8vLyAPfFeteuXSnujUj6qK6ubkzA+s+TVMlJ6aOLtJOcnBwGDRrUeFsym+LpLdHimZUFY8bAW28F2s6aBeeem+weSkvo/PQexdRbFE9vUTydrl27smPHDgC2bNnCbrvthjEmxb1qnfz8/FR3QRIslTHdvn174+1OnTqlrB8ARsMOJRpjTDFQClBaWkpxcXGKeyQiXnfHHXDTTYH1ww6DBQtS1x8RERFJPw0NDSxfvrxxBEfnzp3p2bNnRiedRNqivr6erVu38s033zRuGzRoUNyjm8rKyigpKfGvllhry9rap46bDhcRkbQTXiR84UKoqIDOnVPSHREREUlDWVlZ9O/fn7Vr12KtpaKigoqKCowxjfWcRDqK4DpNfr1799Y0OhEREb+RIyE7G/y/L+vrYf58OPro1PZLRERE0kuXLl1CEk7gvnTX1dWluGciqdWtWzeKiopS3Q0lm8SbqqqqmDZtGgDjx4+noKAgxT2StlA8vSVWPDt1gkMOCZ06N2uWkk3pTOen9yim3qJ4eoviGapLly7ss88+VFRUsH37dmpqapqM8EhnDQ0NbNmyBYCePXum/Oph0napiml2dja77bYb3bt3T5vPBSWbxJOstVRVVTXelsymeHpLc/EcO7ZpsknSl85P71FMvUXx9BbFs6msrCy6du1K165dU92VFqusrGTp0qUAHHzwwRQWFqa4R9JWimmAUqciIpJWwus2zZ4NDQ2p6YuIiIiIiLSckk0iIpJWwpNN5eWwbFlq+iIiIiIiIi2nZJOIiKSVkhIoLg7dNnNmavoiIiIiIiItp2STiIiknSOOCF1X3SYRERERkcyhZJN4U2Ul+z/zDDmVlanuiYi0QvhUOiWbREREREQyh65GJ95jLblXXMGQV1+lz8cfYw45BIYOTXWvRKQFwpNNy5bBpk3Qq1dq+iMiIiIiIvFTsimNGWOmAuPjaWutNe3bmwzy29+S88orAHRbswY7bhy8+mrTb6+SMXJzcxkxYkTjbcls8cRz+HAoLITgwYlz5sDJJyejh9ISOj+9RzH1FsXTWxRPb1E8vUcxDTDW2lT3QaJIdbLJGFMMlAKUlpZSHF6xNx1t2QL77AObN4duz8uDxx+HCy9MTb9EpMUmTIBp0wLrN94Id96Zsu6IiIiIiHhSWVkZJSUl/tUSa21ZW4+pmk2ZYQFwYDOLAPTsCXPnwr77hm6vqYGLLoKf/xwaGlLTNxFpEdVtEhERERHJTJpGlxl2WmsXp7oTGWPQIBpmzcKefTbZ778fuu+uu2DpUnj2WejcOTX9kxZraGiguroagPz8fLKylCfPZPHGM/yKdPPmQW0tdPARyWlH56f3KKbeonh6i+LpLYqn9yimAR33mYunVRcU8NaVV7IqUoGX116DI4+Er75Ker+kdaqrq3n33Xd59913Gz+8JXPFG8/Ro0PXq6pg4cL27Zu0nM5P71FMvUXx9BbF01sUT+9RTAOUbBLPstnZLL7sMmoeeABywgbxLVoEo0a5isMikpaKiprOiNVUOhERERGR9Kdkk3he/WWXwTvvQI8eoTs2bHAViP/+95T0S0Sap7pNIiIiIiKZR8mmzLCvMWauMWarMabKGFNmjHndGHORMUbVS+JxzDGucPjQoaHbq6vh/PPhl79U4XCRNBSebJo5E3QRVRERERGR9KYC4Zmhr2/x6+9bJgP/Z4w501r7eUsPaowpbqbJ7v4blZWVVFZWRmyUl5dHdnY2APX19dTU1MQ8aGFhYePt2tpa6urqorbNysoiPz+/cb2mpob6+vqo7XNycsgNqx5cVVXlbhQXw5Qp5F14IdkffBB6x9tvx372GVWPPQadOkU9fnCRt7q6Ompra6O2NcZQUFDQuN7cc83OziYvL69xvbq6moYYCbDw5xotPn7pHKeqqipsjAxC8LEaGhqafa6KU2TtHafc3FxyfFNWg4sjhms8J4NEi9NhhxkgEJ+1a6G0FPbYQ3GK1vdExcmvufMpOJ7V1dUteq6KU/LiFKy5z73gmFZVVSlOaRqncNHiFB5PP8UpunT+OyJaPP0Up8jS+e89v0jx9FOcIkvn308QO6bpFqdYr1trKdmU3hqAD4C3gUXAZqALcChwBbAfsD8wxRgzylrb0orXpfE2nD59Or169Yq476ijjqJnz54AbNu2jRkzZsQ81qmnntp4e82aNSxZsiRq2x49ejBu3LjG9UWLFrFu3bqo7QcNGsQBBxzQpO/BzA9/yAH5+ez99tuh2199lepFi5j7i19QFeW5nnDCCY0fIhs2bGDBggVR+1JQUMDEiRMb15ctW8aqVauitu/Xrx8jR45sXJ87dy7l5eVR2w8bNozBgwc3rr/77rtR20J6x2natGkxP4wPOuigxts1NTVNYhpOcYqsveM0YsQI+vfvDwSKI8YrWpwaGqBLl0ns2BH4Q2LWLDjgAMXJr73j1JLzac6cOZx44omN6zqfAtIpTi353Js+fbrilAFxgvjOp+Dfn4pTdKmOU7DwOAXHMNLfQ4pTZOn8955frL9vFafI0vn3E8SOabrFaf/994+5vzU0jS69nWGtPc5ae6+19gNr7UJr7Qxr7f3AcOAZX7u+wH0p62WGsdnZfHr55Sy6/HJs2H8Uun/xBeNvuIHuy5enqHciEiwrC4YO3RKyTXWbRERERETSm4k19EqaZ4xJxAt4ibX26VY8dg6wGPAXIiq21q5twf3jmUY3H2D58uUUF0duno7DdSsrKxuzt+PGjQsZjhnS9+nTyT73XNi6NWS7LSig9tFHqT/rrJDtHXUYaKqH69bX1/OBb+rjcccd1xiDaBSnyNJluG5VVVXjf3r8/+2KFad77snhllsC/TjsMJg9W3GK1vdUTKPzx3P8+PF07969cZ/Op+h9T+dpCsExHTduHJ06dVKcosiE6STh8fQfU3GKLp3/jigvL48YTz/FKbJ0/Xsv3u8silNk6fh3RLwxTbc4bdy4kQEDBvhXS6y1ZTHvEAclm9oolckm3+PfANzjWz3fWpuwS6v5klGlAKWlpVGTTeko+IQK/oCLaNkyOOUUWLGi6b6bb4Zf/9oNr5CUaVE8Je21NJ5Tp8LRRwfWs7Ndfrhz5/bro8RP56f3KKbeonh6i+LpLYqn92RqTMvKyigpKfGvJiTZpJpNbbdfAo7xdRvu+1nQ7f5t7YhXZGVlNSnQFtXQoTBnDpx1Fvz3v6H7fvMb+PxzePpp2G23hPdT4tOieEraa2k8R450CSb/P3vq62H+/NAElKSOzk/vUUy9RfH0FsXTWxRP71FMA5RsaiNr7dJUdyHFj+8NPXvCf/4D11wDjzwSuu/ll+GLL+D116G/8nkiydapExxyCATXk5w1S8kmEREREZF0lRljuiSW4LLx0cvXdzB1dXWsXbuWtWvXxpznGyI3Fx56CB58sOm0uY8+glGjQr/tStK0Kp6StloTz7FjQ9dVJDx96Pz0HsXUWxRPb1E8vUXx9B7FNEDJpgzmKxD+vaBNsa8H34HU1tayYMECFixYELMIXRPGwFVXwdtvQ7duofvWrYNx49xIJ0mqVsdT0lJr4hmebJo9G2LUf5Qk0vnpPYqptyie3qJ4eovi6T2KaYCSTWnKGHO0MaZ7jP25wOMEaka9aa0tTUbfOoSJE9232UGDQrdXVsLZZ7taTiquL5I04cmm8nJX219ERERERNKPkk3p67tAqTHmb8aY7xtjxhljDjbGHGmMuRZY6GsD8A1wbao66ln77Qdz58KECU33/frX8J3vuOSTiLS7khIIvyDmzJmp6YuIiIiIiMSmZFN66wx8B3gMmAZ8AswA7iNQq+lT4Ghr7Zep6KDnFRXBO+/A97/fdN8LL8D48fB1Wy4mKCLxOuKI0HXVbRIRERERSU9KNqWvu4GfAC8Bi4ENQC1QAawCXgTOAg6x1n6Wqk52CHl58Oij8Mc/Ni0cPn++uy77J5+kpm8iHYiKhIuIiIiIZIacVHdAIrPWfg58jhvFJKlmDPz4xzB0KJxzDuzYEdi3di0ceSQ8+yyccUbKuijideHJpmXLYNMm6NUrNf0REREREZHINLJJpCUmTXKFw/faK3T7rl3w7W/D7bercLhIOxk+HAoLQ7fNmZOavoiIiIiISHRKNoknGWMoKCigoKAAY0xiDz5sGMybB0cd1XTfL38JF14IVVWJfcwOrl3jKUnX2njm5sKoUaHbVCQ89XR+eo9i6i2Kp7cont6ieHqPYhpgrEZhSBTGmGKgFKC0tJTi8EtBdXQ1NXDllfDkk033jR4Nr74Ku++e/H6JeNgvfgF33hlYHzcOpk1LXX9ERERERDJdWVkZJSUl/tUSa21ZW4+pkU0irZWXB48/Dn/4g6vpFGzOHDcEY9Gi1PRNxKPCr0g3bx7U1qamLyIiIiIiEpmSTSJtYQz89KfwxhvQuXPovtJS9834tddS0jURLxo9OnS9qgoWLkxJV0REREREJAolm8STamtrWbx4MYsXL6Y2GcMeTj7ZFQ4fODB0+86d7gp1d9+twuFtkPR4SrtqSzyLimDffUO3zZqVwM5Ji+n89B7F1FsUT29RPL1F8fQexTRAySbxpLq6OlatWsWqVauoq6tLzoMecADMndt0no+1cOONcPHFUF2dnL54TEriKe2mrfEcOzZ0Xcmm1NL56T2Kqbcont6ieHqL4uk9immAkk0iidSnD3zwAXz3u033/fWvcMwx8M03ye+XiIeEJ5tmztTAQRERERGRdKJkk0ii5efDU0/BPfc0LRw+a5YrHP6//6WmbyIeED54cO1aVyJNRERERETSg5JNIu3BGLjhBlccvFOn0H1r1rhvy2++mZKuiWS6ffaBnj1Dt2kqnYiIiIhI+lCySaQ9TZ7svgXvuWfo9ooKOPVU+N3vNP9HpIWysmDMmNBtSjaJiIiIiKQPJZtE2ttBB8G8eU2/HVsLP/sZfO97Khwu0kIqEi4iIiIikr6UbBJJhr594b//hQsuaLrv6afhuONg48akd0skU4UnmxYudAMGRUREREQk9XJS3QGR9pCdnU2/fv0ab6eFggJ3Rbr994df/CJ034cfusLhb74JBxyQmv6lsbSMp7RaIuI5ciRkZ0N9vVuvr4f58+HooxPVS4mXzk/vUUy9RfH0FsXTWxRP71FMA4xVvRiJwhhTDJQClJaWUlxcnOIeecirr7pRTrt2hW7v0gWefx5OOik1/RLJICNHwoIFgfXbboObbkpdf0REREREMlFZWRklJSX+1RJrbVlbj6lpdCKpcPrpbjRTeAJvxw445RS4914VDhdphuo2iYiIiIikJyWbRFLlkEPcvJ/DDw/dbi1cdx18//tQU5OavolkgPBk0+zZ0NCQmr6IiIiIiEiAkk3iSdXV1UyfPp3p06dTnc5Xett9d5gyBc47r+m+J56A44+HTZuS3680kzHxlLgkKp7hyabycli2rI2dkxbT+ek9iqm3KJ7eonh6i+LpPYppgAqEiyc1NDRQXl7eeDutFRbC3/4Gw4bBL38Zum/6dDfy6c03XWHxDiqj4inNSlQ8S0rcTNSyoBnlM2fCfvu1tYfSEjo/vUcx9RbF01sUT29RPL1HMQ3QyCaRdGCMq2z8yisu+RTsiy9gzBj4z39S0zeRNKa6TSIiIiIi6UfJJpF08u1vu8Lh/fuHbt++3V2h7oEHVDhcJMgRR4SuK9kkIiIiIpJ6SjaJpJtDD4V589x13YM1NMC118IPfgC1tanpm0iaCR/ZtGyZypyJiIiIiKSakk0i6ahfP5g2Dc45p+m+xx6DiRNhy5bk90skzQwf3nTm6Zw5qemLiIiIiIg4SjaJpKvCQnj+ebjllqb7pkxxhcOXLk16t0TSSW4ujBoVum3mzNT0RUREREREHCWbRNKZMfDrX8OLL0JBQei+lSth9Gh4773U9E0kTahIuIiIiIhIeslJdQdE2kNOTg7Dhg1rvJ3xzj4b9toLTj0Vvv46sH3bNpg0Ce6/H370o9T1r515Lp4dXKLjGV4kfN48V9YsN7fNh5Y46Pz0HsXUWxRPb1E8vUXx9B7FNMBYXdlKojDGFAOlAKWlpRQXF6e4R8LatTB5Mnz8cdN9P/wh3HefvmFLh7N5M/TqFbotUo19ERERERFpqqysjJKSEv9qibW2rK3H1DQ6kUzSvz/MmAFnntl030MPuVFO5eXJ75dIChUVwb77hm7TVDoRERERkdRRskkk0+y2m6vhdPPNTfd98IGr47R8efL7JZJCqtskIiIiIpI+OvYkQvGsyspK3n33XQBOOOEECsOvjZ7psrLg1lvdcI5LLoHq6sC+5cvdlepeeQWOPTZ1fUwgz8ezg2mPeI4dC08+GVifOROsdTX2pX3p/PQexdRbFE9vUTy9RfH0HsU0QCObRDLZeefBtGmw++6h27duhYkT4ZFHUtItkWQLH9m0di2UlqamLyIiIiIiHZ2STSKZ7vDDXTXkgw8O3V5fD1deCVdfDXV1KemaSLIMHQo9e4Zu01Q6EREREZHUULJJxAtKSuDDD+H005vu+9Of4KST3GgnEY/KyoIxY0K3KdkkIiIiIpIaSjaJeEWnTq5O0y9+0XTfu++6wuErVya/XyJJoiLhIiIiIiLpQckmES/JyoLbb4dnn4X8/NB9y5bBqFEwZUpq+ibSzsKTTQsXQkVFSroiIiIiItKhKdkk4kUXXOCSSn36hG4vL4cTToC//CU1/RJpRyNHQnZ2YL2+HubPT11/REREREQ6KiWbRLxqzBhXOPygg0K319XB5ZfDT36iwuHiKZ06wSGHhG7TVDoRERERkeQz1tpU90HSlDGmGCgFKC0tpbi4OMU9il99fT3btm0DoFu3bmQHD3foaCoq4Pzz4Y03mu6bNAmefx66dUt+v1pA8fSW9ozntdfCAw8E1r/1LXjrrYQdXiLQ+ek9iqm3KJ7eonh6i+LpPZka07KyMkpKSvyrJdbasrYeU8kmiSqTk00SpqHBFQ6/++6m+/bbD958EwYNSn6/RBLsxRfh3HMD6z16wKZNrpyZiIiIiIg01R7JJv35LdIRZGXBXXfBM89AXl7ovs8/h8MPh+nTU9M3kQQKLxJeXu5q44uIiIiISPIo2SSeVF9fz5YtW9iyZQv19fWp7k76uOgi+O9/oXfv0O2bN8Nxx8ETT6SmX81QPL2lPeNZUgLhgzBnzkzoQ0gYnZ/eo5h6i+LpLYqntyie3qOYBijZJJ5UU1PDjBkzmDFjBjU1NanuTno54ghXOPyAA0K319bCZZfB9de7y3ilEcXTW9o7nuGjm1QkvH3p/PQexdRbFE9vUTy9RfH0HsU0QMkmkY5o4ED3Dfzkk5vu+8Mf4NRTYfv2pHdLJBGOOCJ0XckmEREREZHkUrJJpKPq0gVeew1uuKHpvrfecsNDvvwy6d0SaavwkU3Llrki4SIiIiIikhxKNol0ZNnZcM898OSTkJsbum/JEhg1Cj78MDV9E2ml4cOhsDB025w5qemLiIiIiEhHpGSTiMAll8AHH0BRUej2TZvgmGPg6adT0i2R1sjNdXnSYCoSLiIiIiKSPEo2iYhz1FGucPj++4dur611yaif/SztCoeLRKMi4SIiIiIiqaNkk4gE7L03zJ4N3/pW032/+x2ccQbs2JH8fom0UHiR8HnzXN5URERERETan5JNIhKqa1d44w34yU+a7nvjDfctfs2a5PdLpAVGjw5dr6qChQtT0hURERERkQ7HWGtT3QdJU8aYYqAUoLS0lOLi4hT3SJLu8cfhyiuhri50e58+8OqrTecqiaSR/faDpUsD6/fdB9dem7LuiIiIiIikpbKyMkpKSvyrJdbasrYeUyObRCS6yy6D996Dnj1Dt3/zDRx9NDz7bGr6JRIH1W0SEREREUkNJZtEJLYJE1zBm333Dd1eUwMXXQS/+AU0NKSkayKxhCebZs4EDeYVEREREWl/SjaJJ9XW1rJy5UpWrlxJraoCt92gQTBnDkyc2HTfnXfCt78NFRXt9vCKp7ckK57hyaa1a6G0tN0ersPS+ek9iqm3KJ7eonh6i+LpPYppgJJN4kl1dXUsWbKEJUuWUBdeb0hap1s3+Ne/4Jprmu577TU46qh2+yaveHpLsuI5dGjTGaCaSpd4Oj+9RzH1FsXTWxRPb1E8vUcxDVCySUTil5MD998PjzzibgdbuBBGjnQjoETSQFYWjBkTuk3JpnZiLaa+PtW9EBEREZE0kdN8ExGRMFdcAUOGwJlnQnl5YPuGDa7G05NPwne+k7LuifiNHQtvvRVYV7KpBXbtchcDaGYp2LCBUzZuxFiLPfhgN6329NPd5QBFREREpENSsklEWueYY2DuXDj5ZFi+PLC9uhrOPx8+/xxuvdUNLxFJkfC6TQsXuvJinTunpDupVVcHmzbFlUDim29g5864Dmt8C4D5+GP4+GO46SY3j/H0090yciQYE+swIiIiIuIhSjaJSOsNGeKmzZ19Nrz/fui+225zCadnnoFOnVLTP+nwRo6E7Gzwz/Cqr4f58+Hoo1Pbr4SwFrZtiz95tGVLci/Ht2wZ3HWXW/r3h9NOgzPOgHHjmk7DFRERERFP0V97ItI2PXrAv/8NP/4x/PnPofv+8Q/48kt4/XUoLk5J96Rj69QJDjkEFiwIbJs1K42TTVVV8SePvvkGMuUqJ2vXus+HP//ZVW0/+WQ34umEE2C33VLdOxERERFJMCWbRKTtcnLgT3+C/fd3V6sLLhT88ccwapS7Yt2oUSnronRcY8c2TTYlTX09bN4cf/Jox44kdi5OeXnQp0/UpbpbN2avWkVeRQWj1q0j51//gnXroh9vyxb461/dsttuMHGiSzydfLJLXouIiIhIxlOySTwpKyuLHr4vLVmqGZQ8P/wh7LMPnHUWbN0a2P711zB+PDz9NJxzTosPq3h6S7LjOXYsPPBAYH32bGhoaGU5MWtdQije5NGmTcmduhYPY6CoKGYCKWTp2jV2vaXqarLmzqUOqD/8cHIeftjNVXz1VbcE13QLt2tXoF1OjrvAwOmnuyl3/fol+IlLvPSZ6y2Kp7cont6ieHqPYhpgbLr9ESxpwxhTDJQClJaWUqxpUBKvZcvglFNgxYqm+379a7j5ZhUOl6QpLYU99wzd9tlnQRdLq66GjRvjTyBVVyf9OTSrc+f4k0dFRcmrmWStq93mTyh99FH89z388ECB8X32ab8+ioiIiHRwZWVllJSU+FdLrLVlbT2mkk0SlZJN0iZbtrgRTv/9b9N9Z58NTz2lWi3SPhoa3PsvKEFUcsUkyrZ2aWzyl0F3cVnWk27/tm0p7GwUOTnxJ496986cc+mrr9yU2ldfhenTXazisf/+gcTToYfqynYiIiIiCaRkkySVkk3SZrW1robTI4803TdihPvS2b9/0rslGcZa2Lkz/pFHGzc2SWKcwwu8RGAK5yU8yZNcmtzn0bNn/Amk7t29n1DZtAnefNMlnt59N/4RY3vu6abZnX46HHmkrmwnIiIi0kZKNklSZXKyqaamhkWLFgEwfPhw8vLyUtyjDsxadwWqa69tOoqhXz944w047LCYh1A8vaWmpob/LVhAztatDOvdm9zy8uYTSJWVbXrMB7iaawkUbhrKUpayX4x7xKGwEPr2jS951KsX5Oa27fHSVELOz4oK+M9/XOLpX/+C7dvju19REUye7BJPxx8PBQUtf2xpQp+53qJ4eovi6S2Kp/dkakzbI9mkfweKJ9XX17POdzWkAw44IMW96eCMgauugiFDXHHw4ClL69bBUUfBM8+4KXdRKJ5prqHBFYTftMktGzcGboevb9xI7qZNjIg3mZAgYwm9BN0y9mUTRfRic2Bjdrabkhbv6KNOnZL6HNJVQs7Pzp3hzDPdUlMDU6a4xNPrr8P69dHvt3mzm5L71FMuHpMmucTTSSdBt26t64voM9djFE9vUTy9RfH0HsU0QMkmEUmOiRPdZcBOOQVWrQpsr6x0NZx+8xv45S+9P3UoE1RWNkkQxby9eTPU18d9+KRGuEcP6NOH4b26UDinmsr6/MZdc258nZMn1YdOXVPh+tTLy3OfFxMnwkMPwZw5gQLjwZ8d4XbuhFdecUtuLhxzjEs8nXoq7L578vovIiIiIko2iUgS7bcfzJ3rRi9MnRq67+ab3SXCnnzSTU+SxKivd8mgOEcdsWmTuxx9uiooaNnUNd/Q5Vxg1ASYNi1wqJkcwcnjUvIsJF5ZWTB2rFvuuQcWLw4knhYujH6/2lp45x23XHkljBkTKDA+aFDSui8iIiLSUSnZJCLJVVTkvgBedRX85S+h+154wY1ceP112GOP1PQvnVkLO3Y0nywKvl1e7u6XpmxWFqalU9daOfpt7NjQZNOsWdHbShoyBg480C033wxffhm4st2HH0Z/n1vrgj1rFtxwg7u/P/E0fLhGU4qIiIi0AyWbRCT58vLg0Ufd5cyvuy60cPj8+TBqlCscfsghqetjMtTUtCxxtGmTu08669TJjSjq3dv99C9B69Vdu/Lh0qXUdO3KhG9/m8Ik1T464ojQ9Xnz3AAYj9bt9r699oKf/MQt33zjPjNefRXefz/2efLpp275zW9g4MBA4mnsWFe3S0RERETaTMkmEUkNY+DHP4ahQ13h8B07AvvKytwlzZ99Fs44I2VdbJFYRbKjTV1LcpHsFsvOjpgsinq7V6+4pkA2VFZSsXOnW0lijaTRo0PXq6rcTKyRI5PWBWkvffrAZZe5Zft2+Pe/XeLp7bdDP1vCrV4Nf/yjW3r3dvWdTj8djj0W8vOj309EREREYlKySURSa9KkQOHwL78MbN+1C779bbj9dpeUSrZ2LpKdEt26xZ846t3btffQFKOiIth3X1i6NLBt1iwlmzyna1eXwD7nHKiuhg8+CFzZbuPG6PfbuBEef9wtXbrAt74Fp53mfnbtmrTui4iIiHhBQpNNxpgnE3k8H2utvbQdjiselpOTwyBfEdicHOVU096wYW5O0xlnwIwZoftuuon8xYsZfN112Pz81sUzVpHsaLfTuUg2uKmIvXvHnzjq2bOxWHaqpfL8HDu2abLp2muT2gXPSevP2/x8lyz61rfgkUdcwP0Fxlevjn6/HTvgxRfdkpfnRjr5r2zXp0/Sup8qaR1TaTHF01sUT29RPL1HMQ0wNoGFY40xDUAiK9EaXLJJRRRSwBhTDJQClJaWUlxcnOIeiefV1MAPfgBPPdV03+jRrhhwnz6hRbLjubpamhfJxhiXDIo1PS18XxsKZXdkTzzhZlr59e8PpaV6KTsca+F//wsknv73v/juZ4wr/uWv87TXXu3bTxEREZEkKCsro6SkxL9aYq0ta+sxE51sWk3sZNNuQO+g9Rpgi+92T8D/b3cLbAJ2AVhr9ddcCijZJClhLdx7r7tqVPjnU2GhG6WUCUWyW5I46tFDhYmT5PPPXV36YGvWwJ57pqY/kiZWrXLJ7H/+003rjfdvo+HDA4mnAw9U1lJEREQyUtonm2I+kDGHAS8DxcBfgCeBhdbaet/+bGA4cCnwfaAMOMta+1FSOihNKNkkKfWvf8F550FFRWr7kZMTmihqbrpaUVFcRbIlNRoaXJi2bAlse/55OPfc1PVJ0sz69YEr233wgbtkYTz23juQeBozJqnF70VERETaImOTTcaYfsAnQFfgW9baKc20Hw/8B9gGHGKt/brdOylNZHKyqaqqimnTpgEwfvx4CgoKUtwjaZVPP4XJk2PXVmmpbt3ir3PUq5fnimSng1SfnyefDG+9FVi/+mp44IGkdsFTUh3PdrVtm7uinf/Kdv6rKDanb9/Ale2OOSZt6qXFy9Mx7YAUT29RPL1F8fSeTI1peySbklWx6jrc9Lm7m0s0AVhrpxlj7gP+D7gB+Gn7dk+8xlpLVVVV423JUAceCHPnUn/GGWTPnNl0f35+yxJHRUWQm5v85yEhUn1+jh0bmmyaNSvpXfCUVMezXXXr5kZYnnceVFXB+++7xNMbb7h6cNFs2ACPPeaWrl3hpJNc4mnSJOjcOXn9byVPx7QDUjy9RfH0FsXTexTTgGQlm07G1WF6q7mGQd7CJZtOQskmkY6rTx9q3nmHj+6/n+zKSg454QQKSkpc8khFsqUVxo4NXV+40M3WzIAcgKRSQYEbFnfyyVBXBzNnBgqMf/VV9Ptt3+7maj7/vEuQH3+8SzxNnuw+x0REREQ8KFkFBfzzr6pacB9/28yZuyUi7SMri83DhvHNiBHYESNg4ECXGVCiSVph5MjQeuz19TB/fur6IxkoJwfGj4f77nPTfD/6CH75Sxg2LPb9qqtdPbpLL3VT7SZMgPvvd1XqRURERDwkWckmf5GDkS24zyjfz10J7ouIiHRgnTrBIYeEbtNUOmk1Y+DQQ+G3v4XFi2H5crj7bhg9Ovb9Ghpg2jT48Y9dAv2ww+C222DJkvivhiciIiKSppKVbJoPGOAXxpjezTU2xvQBfo6beqf/N4uISEKFT6VTskkSZsgQ+NnPYPZsWLsWHnrITZ3LaaZywccfw69+BQccAEOHwv/9H8yZ45JSIiIiIhkmWcmmP/l+9gPmGmNOM8Y0eWxjTJYx5lRgNtDft1nXCBIRkYQKTzbNnq3v9NIO+vWDK6+Ed9+Fb76BZ5+FM86A3XaLfb8VK+Cee2DMGCguhh/+EN57D2prk9NvERERkTZKSrLJWvtv4D7c6KYBwD+Ab4wx7xlj/maMec4Y8x6wAfgnsJfvrg9Ya/+TjD6KiEjHEZ5sKi+HZctS0xfpIHr0gAsugH/8w13J7rXX4LvfhZ49Y9/v66/h4YfhhBOgTx+48EL45z9h587Y9xMRERFJIZPMy/EZY34M3Ab4/6UX/uD+ar+VwK+stfcmqWsSgTGmGCgFKC0tpbg4c2q119XVsWHDBgD69u1LTnPTFyStKZ7eki7xLCmBsrLA+l/+ApddlpKuZLR0iWfGqquD6dPdVe1eey30TRlLQYFLQJ1+OpxyChQVJbBLiqmXKJ7eonh6i+LpPZka07KyMkpKSvyrJdbaOP8giS6pySYAX82m7wLHAQcC/n/plQOfAu8Dz1hrv0lqx6SJTE42iYg055xz4KWXAuuXXAJPPpm6/ohgLSxY4BJPr74KS5fGd7/sbBg3ziWeTjvNZVJFRERE4uSJZJNkDiWbRMTLHngArr02sD50aPzf7UWSYunSQOJpfguulzJihEs8nX467Ldf+/VPREREPEHJJkmqTE42NTQ0UF1dDUB+fj5ZWcmqhS/tQfH0lnSJ54IFMHJk6LaNG6FXr5R0J2OlSzw9r6zMTbN79VWYNg3q6+O739ChgcTTyJFgTLN3UUy9RfH0FsXTWxRP78nUmLZHsikznrlIC1VXV/Puu+/y7rvvNp7skrkUT29Jl3gOHw6FhaHb5sxJTV8yWbrE0/OKi+Gqq+CDD2DDBnjmGTdlLvxNHG7ZMrjrLjj8cDe9zn+MGFe2U0y9RfH0FsXTWxRP71FMA5KebDLG9DTGXGeM+bcxptQYs9O3lPq2XWeMaebSLCIiIm2TmwujRoVumzkzNX0RaZGiIrjoIjfKaeNGd3W6Cy+E7t1j32/tWvjzn+G446BvX3c1vNdeg127ktFrERER6UCSmmwyxlwBrAHuAU4A+gOFvqW/b9s9wBpjzOXJ7JuIiHQ8Y8eGrs+alZp+iLRap05uitxf/wrffAPvvQc//CH06xf7fuXl7j6nnw69e8MZZ8Czz7rtIiIiIm2UtOvwGWNuBG4H/MUCtgGfAOt967sDhwDdgE7Aw8aY7tbae5LVRxER6ViOOCJ0fd48N7soNzc1/RFpk9xcN2rpuOPgwQddUXF/gfHly6Pfb9euQLucHPLGjWPg4MF8HZ6NFREREYlTUkY2GWMOAH6LSzR9DVwA9LHWHmOt/Y5vOQboDZwPrPO1vc0YMywZfRQRkY5n9OjQ9aoqWLgwJV0RSaysLFen6a673FXtliyB226Dww6Lfb+6OrL/+1+GP/YYx19+OTm//jVs356cPouIiIhnJGsa3VVANrARGGOt/bu1tkllSmttnbX2eWAM8I3vPlclqY8iItLBFBXBvvuGbtNUOvEcY2D//eGmm9xlGNesgfvvhwkTXFIqiuyaGnJ/9zsYMgQeeQTq6pLXZxEREcloyUo2HQNY4E5r7VfNNbbWlgJ340Y3HdvOfRMRkQ5MdZukw9lzT7jmGpgyxV3Z7skn4ZRTID8/cvtvvoErr4QDD4R//QusTW5/RUREJOMkK9nU3/ezJX/C+68J1EyFSxERkdYLTzbNnKnv0tKB9OoFl1wCb7wBmzbByy9Td9ZZNEQa8bR0qUtKHXssfPxx8vsqIiIiGcPYJPxFbYzZjiv6fZS1Nq6EkzFmDC7hVGGt7dqe/ZPIjDHFQClAaWkpxcXFKe5R/BoaGqiurgYgPz+frBjTBCT9KZ7ekm7x/PxzN8Mo2Jo1bvCHNC/d4ilt19DQQM3//kfuL39J9ltvRW944YVw++1QUpK8zkmL6Rz1FsXTWxRP78nUmJaVlVES+H1eYq0ta+sxk/XM/VPnWjIlzt+22Wl3IuGysrIoLCyksLAwY05wiU7x9JZ0i+fQodCzZ+g2TaWLX7rFU9ouKyuLgoMPJvtf/3JT7aIVFX/2WdhnH1cLSkXE05bOUW9RPL1F8fQexTQgWc/+PVz9peuNMQc219h39bobcHWe3m3nvomISAeWlQVjxoRuU7JJxGfCBJg3zyWWIo1gqqqCO+6AwYPh4YdVRFxERESA5CWb7gOqgc7Ah8aY640xReGNjDFFxpjrgRlAF9997ktSH8VD6urqWLt2LWvXrqVOf/hmPMXTW9IxnioS3nrpGE9pmyYxzcqCCy6AZcvgzjuhS5emd9q4EX74Q1dE/M03Vfgsjegc9RbF01sUT+9RTAOSkmyy1q4BrvCtdsZdaW6DMWaFMWamMeZDY8wKYINvXzfcqKYr4rl6nUi42tpaFixYwIIFC6itrU11d6SNFE9vScd4hiebFi6EioqUdCXjpGM8pW2ixrSwEG68EVauhB/9CLKzm9556VKYPFlFxNOIzlFvUTy9RfH0HsU0IGmTCK21fwUmA1/jptRlAYOA0cAY3+0s3751wCnW2meT1T8REem4Ro4M/d5cXw/z56euPyJprU8f+NOfYPFil1iKxF/r6aKLoLQ0uf0TERGRlEtqxSpr7VvAQOAc4C/AbGC5b5nt23YOsJe19u1k9k1ERDquTp3gkENCt2kqnUgz9t0XXn89viLiv/iFioiLiIh0IEkvj26trbPWvmytvcJae4S1dj/fcoRv28vW2oweb2aM6WyMGeerTfWSMeZLY4z1LatbcbwDjDGPGmNWGWMqjTEbjTEzjDE/MMbktMNTEBHpcFS3SaSV/EXEn3suehHxO+90RcQfegg6+LQCERGRjqBjX4uv/bwJTAN+B5yFG83VKsaY7wMfAZcDewMFQC/gSOBhYKYxplcb+ysi0uGFJ5tmz4aGhtT0RSTjZGXB+ec3X0T8Rz+Cgw5SEXERERGPS2myyRiTY4zp7Vu8NELHBN3eArwLtLjUrDHmW8AjQB6uePo1wOHAJOCfvmajgFeNMRGqdIqISLzCk03l5e57s4i0gL+I+KpVzRcRP+YY+Oij5PdRRERE2l3Sk03GmP2MMQ8aYz4HqoD1vqXKGPO5MeYBY8z+ye5Xgv0d+A4wxFpbZK2dCGxuyQGMMbnAg7gYbQeOsNY+aK2dZ639j7X228BDvuZHAhcmrvsiIh1PSQkUF4dumzkzNX0RyXi9e7si4kuWwKmnRm4zdSqMGAEXXghf6eLDIiIiXpLUZJMx5k7gf8APgaEErj7nvzrdUOBHwCJjzB3J7FsiWWsfs9Y+b61d2YbDnI6bNgdwp7V2VYQ2NwDlQbfFxxhDQUEBBQUFGGOav4OkNcXTW9I5nqrb1HLpHE9pnYTGdOhQeO01l1iKVkT8uedcOxURbxc6R71F8fQWxdN7FNMAY5M0X94Y8yAuyeR/xT8H5uJGNQHsjpsS5h/VZIE/WWuvTUoH25mvMPgAYI21dmAc7f8OnOdb3cNauz5Ku0eAK3yrQ621y9ve28ZjFwOlAKWlpRSH/8tfRMRjHngArg36rTN0qJvxIyIJ0NAAzz/vkkrRRjL17g233ALf/z7k5ia1eyIiIh1VWVkZJYGLfJRYa8vaesykjGwyxhyBG7EE8BlwpLV2mLX2e9baX/iW71lrDwCOAD7FJaWuMsaMjXJYrzvS93NZtESTz7Sg20e0Y39ERDwvfGTTsmWwaVNq+iLiOf4i4kuXwl13QdeuTdv4i4gfeCC88YaKiIuIiGSoZE2j84+8+RJXeyjqxARr7WxgHPCFb9MP2rlvaccY0xnwpxWb+5968P792qdHIiIdw/Dhrr5xsDlzUtMXEc8qLIT/+z9YuRKuuipyEfFly1ytJxURFxERyUjJugLcUbhpcXdZa7c119hau80YczfwqO++HU3wfLXmhq+VBt0uidoqAt80uVh299+orKyksrIyYqO8vDyyfX8o1tfXU1NTE/OghUHf5Gpra6mrq4vaNisri/z8/Mb1mpoa6uvro7bPyckhNzeX2tpali1bRl1dHXvvvTe5UYbi5+bmkpPjToOGhgaqq6tj9j0/P5+sLJejrauro7a2Nmpb/3xdv+aea3Z2Nnl5eY3r1dXVNMS47rr/ufpFi49fOsbJr6qqilhTeo0xrFzpSqANGTIk5usCilM07R2neM+n2tpavvjiC7Kzs9l3333Jzc1Nmzjl5sKoUTAtaMzotGm1HHts6GN1hDj5NXc++eMJMGjQILoEXfJe51P0vic7TsGaO5+CY7r33ntTUFDQPnHq3BnuuYe8K68k+xe/gNdfb9rGV0S87rzzqLvlFmxJieIURbTzKTye/uen8ym6dP47Yvv27RHj6ac4RZauf+/V1taydOlS6uvrY35nUZwiS8e/I/zfQxsaGhg4cGDUmKZbnJr7ftUayUo2+ZMWn7TgPh/7fvZNcF8yQZeg2xXNtN0ZdLtzCx+ntPkmzvTp0+nVq1fEfUcddRQ9e/YEYNu2bcyYMSPmsU4NuirNmjVrWLJkSdS2PXr0YNy4cY3rixYtYt26dVHbDxo0iAMOOIC6ujpWrVrV+BjRjBgxgv79+wPuw+ndd9+N2fcTTjih8cN+w4YNLFiwIGrbgoICJk6c2Li+bNmyxj5F0q9fP0aOHNm4PnfuXMrLy6O2HzZsGIMHD25cb67v6Rgnv2nTplFVVRW1/UEHHdT42vXv35/p06fH7LviFFl7x6ml5xPA4MGDyc3NTas4jR0bmmz697+3ceSRoZel60hxasn5tH79ek488cTGdZ1PAekUp5acT2vWrElOnF57DaZNo+7HPyZn4cImbXKefx7zyiusmjyZfZ54Arp1a+yf4uTEE6fgv4l0PkWX6jgFC4/TlClTGm9H+htXcYosXf/eq6ura0wexvrOojhFlo5/RwR/D/3yyy+jtk23OO2///4x97dGsqbR+V+FTi24j79t7BScNxUE3Y6dPg19fQqjthIRkbgcEVb9bsWKHtTVdeyriYgkxfjxbH/vPRb85Cfs6t27ye7s2lr2+cc/YPBg+POfIcZ/x0VERCS1knI1OmPMx8Bw4F5r7Q1x3ud3wHXAJ9baKNfKbVOfEvHEL7HWPh3n460mzqvRGWNGAvN8q3dba2+M0bYQ2OVb/Ze19pR4+uO7bzzT6OYDLF++POrV6NJxuG5lZWVj9nbcuHEhwzGDaRhodOk0XLe+vp4PPvgAgOOOO64xBtEoTpGly3DdqqqqxtFp/v92pVOcNm+G8IGc06dXMWJE4Ll3hDj5NXc+Bcdz/PjxdO/evXGfzqfofU/naQrBMR03bhydOnVKfpyqqsh56CFy7rkHs3175DsOHUrdHXdQe+KJEOXy0l6OU7ho51N4PP3H1PkUXTr/HVFeXh4xnn6KU2Tp+vdevN9ZFKfI0vHviHhjmm5x2rhxIwMGDPCvJuRqdMmaRvc2cDBwtTHmP9baD2I1NsYcDVyNq/P0dvt3L+3sCLrd3NS44NFizU25C9HcG8gE/eFWWFgY8iEXTXZ2dlzt/FyNlPgvbRz8YRKvgoKCuPqUlZXVor7n5OQ0nsDxaOlzDf7wiUdL+p5ucYr2IewX/ItAcYou1XEKlslxKiqCffd1F8zy+/jjAo6KUkFQcQoIf511PkWXKedTeL0mSFKcCgvhppvg8svhN7+BRx6B8C8cy5aR8+1vkzN+PPz+9zBiRLPH92qcIokUp1h/E+l8iiydfj9B6HNt7m9cxSm6dPr95BfvdxbFKbp0+jsC4o8ppD5Ozf0zvzWSNY3uPmA7kAv82xjzJ2PMocaYxsc3xmT5tv0J+A+Q57vPfe3Up/0SsLzaTn1bG3S7udFHwUXB467BJCIi0Y0dG7o+K+o1VEWkXfXuDQ8+CIsXw2mnRW4zbRqMHAkXXAAxap6IiIhI8iQl2WSt3QScDdTiRlNdiZuetdMYs9YYU4YrdD3fty8XV6voLGvt5nbq09IELM1eWa+VfdtBIHG0bzPNg/d/3h79ERHpaMKTTTNnQhJmnYtINEOHwquvusRStBFMf/uba3fjjbCtXf5EExERkTgla2QT1tp3gdHAAsD4lnxgD6Cf77Z/+wLgcGvt+8nqXxr60PdzqDFm9xjtxgfdnhm1lYiIxC082bR2LZRq7KhI6o0bB3PnusTSnns23V9dDXffrSLiIiIiKZasmk0AWGsXAqN8BbCPAw4Aevp2bwEWA+9ba+cns19p6jXgPN/ti4G7whsYY3bDjRgD+MxauzwpPcsA2dnZ9OvXr/G2ZDbF01syIZ5Dh0LPnrBlS2DbrFmRv9t2dJkQT2mZtI9pVhZ85ztwxhnwwANw++0QXkR80ya46iq3/557YPLkqEXEvS7t4yktonh6i+LpPYppQFKuRictuxqdr30usBTYG1e76lBr7aqwNn8GfuhbjfvKePHyXa2uFKC0tDTq1ehERLzo5JPhrbcC61df7b63ikia2bTJFRF/+OGmRcT9xo2DP/whriLiIiIiHU1ZWRklJY3loBNyNbqkTaPrSIwxg40xFwcvBK4q1zl8X6RpctbaWtwV+RqArsBMY8xVxphRxpiJxphXCCSaPgSebf9nJiLScahIuEiG6NXLZYKXLIleRHz6dBURFxERSSKNbGoHvuTSUy24y9HW2qlRjvV94E+4q/NFMg84yVeEPaE0sklEOrKpU+HoowPr2dmwdSt07hztHiKSFqZPh+uvh/lRqjLk58OPfww//zl065bUromIiKSj9hjZlPRkkzEmC9gfNz2sC9DsREZr7V/bu1+JlMhkk+94BwDXAMfiiqnvxF157m/A49baKGPG2yaTk03V1dXMnTsXgMMPP5z8/PwU90jaQvH0lkyJ586d7ntofX1g23//G5qAksyJp8TPEzFtaIAXX3QJpWgjmXr1gl//Gq64AnJzk9u/JPJEPKWR4uktiqf3ZGpM2yPZlLQC4caYQuCXwPeBohbc1QIZlWzy1U56OoHHWwxcnqjjdQQNDQ2Ul5c33pbMpnh6S6bEs1MnOOQQWLAgsG3WLCWbwmVKPCV+nohpVhacdx6cfjo8+KArIr5tW2ibTZtcMbYHH/R0EXFPxFMaKZ7eonh6j2IakJSaTb5E03+BG4FegGnhIiIiknSq2ySS4QoK4IYbYOVKl1jKifB/1uXLXa2nCROiT70TERGRFklWgfCfAIfjEkeLgR8AI4FBwF7NLHsnqY8iIiIhwpNNs2e72TkikmGCi4iffnrkNtOnw6hRcP75KiIuIiLSRslKNp3j+zkLGGGtfcxa+5G19ktr7ZrmliT1UUREJER4sqm8HJYtS01fRCQB9tkH/vnPwNXpIvn732HoUPi//2s69U5ERETikqxk0yBc7aV7rLU1SXpMERGRNikpgfBrI8ycmZq+iEgCHXUUzJkDzz8PAwY03V9d7eo4DRoEf/oT1NYmv48iIiIZLFnJJn+C6askPZ6IiEhCqG6TiEdlZcG558LSpS6x1K1b0zabN7taT8OGwWuvQZKv4iwiIpKpkpVsWur7uXuSHk9ERCQhjjgidF3JJhGPCS4ifs01kYuIr1jhaj2NH68i4iIiInGI8Nu0XTwNjAbOAv6TpMeUDiwnJ4dhw4Y13pbMpnh6S6bFM3xk07Jl7orpvXqlpj/pJtPiKc3rsDHt1Qvuvx+uugpuvNHVdgo3Y4YrIn7eeXDHHTBwYNK72VIdNp4epXh6i+LpPYppgLFJGA5sjDHAe8B44CJr7fPt/qDSZsaYYqAUoLS0lOLwwiUiIh1Aba2bXVNZGdj25ptw8smp65OIJMGMGXDdddFHMuXnw7XXws9/Dt27J7VrIiIiiVRWVkZJSYl/tcRaW9bWYyZ0Gp0xZs9IC1ACXA3MBZ4zxrxkjDnNGLNvtPuE3V9ERCQlcnPdQIZgKhIu0gHEW0R88GB48EEVERcREQmS6JpNX8ZYFgNjAAN8G/gHsKSZ+3wJfJHgPoqIiLSIioSLdFDBRcR/97voRcSvucYVEX/1VRURFxERIfHJJhPHEm+78PuIxK2yspLXX3+d119/ncrguS+SkRRPb8nEeIYXCZ83T4MY/DIxnhKbYhpBQQFcfz2sWhW7iPgZZ7gi4vPmJb+PUSie3qJ4eovi6T2KaUCiK1ZdkuDjiYiIpNzo0aHrVVWwcCGMHJmS7ohIqhQVxVdE/PDDM6qIuIiISKIlNNlkrX0mkccTERFJB0VFsO++biaN36xZSjaJdFhDhsA//gEffuiKiEcayfT8867NtdfCL36hIuIiItKhJHoanYiIiCepbpOINHHkka6I+AsvRB7BVFPjaj2piLiIiHQwSjaJiIjEITzZNHOm6gCLCGAMnHOOioiLiIgEUbJJREQkDuHJprVrobQ0NX0RkTSUnx8oIn7ttRlVRFxERCTRElqzyRhzs/+2tfY3kba3RvCxREREUmHoUOjZE7ZsCWybNQv23DN1fRKRNFRUBPfdBz/6Efz8565uUzgVERcREY9L9NXobgH844J/E2V7ayjZJCIiKZWVBWPGwFtvBbbNmgXnnpu6PolIGhsyBF55xc25ve46mDu3aRsVERcREY8yNoFzxo0xDf7b1tqsSNtbI/hYkjzGmGKgFKC0tJTi4uIU9yh+9fX1bNu2DYBu3bqRnZ2d4h5JWyie3pLJ8bzjDrjppsD6YYfBggWp6086yOR4SmSKaTuwFl56CW68EVavjtymqAh+/Wu44grIy0vYQyue3qJ4eovi6T2ZGtOysjJKSkr8qyXW2rK2HjOhySbxlkxONomItIepU+HoowPr2dmwdSt07pyqHolIRqmuhj/9CW67zX14RDJkCNx9N5x2mis+LiIi0s7aI9mkEUMiIiJxGjnSJZj86uth/vzU9UdEMkx+vptSt3Il/PjHkJvbtI2/iPi4cSoiLiIiGUvJJvGk+vp6tmzZwpYtW6ivr091d6SNFE9vyeR4duoEhxwSum3WrNT0JV1kcjwlMsU0CYqK4I9/hM8+g29/O3KbDz8MFBGPNvUuDoqntyie3qJ4eo9iGqBkk3hSTU0NM2bMYMaMGdTU1KS6O9JGiqe3ZHo8x44NXe/oyaZMj6c0pZgm0eDBroi4P7EUyQsvuMth/uxn0afexaB4eovi6S2Kp/copgFKNomIiLRAeLJp9mxoaNNlMESkwzviCPdh8sILMHBg0/01NfC738GgQfDAA25dREQkjeUk8mDGmP8m8ng+1lp7bDscV0REpMXCk03l5bBsGey3X2r6IyIeYQycc44rDB6tiPiWLXDttfDgg66I+Omnq4i4iIikpYQmm4AJgAUS8VvPfxxdLk9ERNJGSQkUF0NZ0DU6Zs5UsklEEsRfRPzii13C6c9/htra0DYrV7paT0ceCb//ffQpeCIiIimS6GTTdJQcEhERjxs7Fl56KbA+axZcdlnq+iMiHuQvIv6jH8GNN8I//tG0zYcfwujRcO65cMcdsNdeye+niIhIBAlNNllrJyTyeCIiIunoiCOaJptERNqFv4j4zJluxNPcuU3bvPAC/POfcM018ItfQI8eye+niIhIEBUIFxERaaHwuk3LlsGmTanpi4h0EP4i4i++GHkEU02Nm1I3eDDcf7+KiIuISEop2SQiItJCw4dDYWHotjlzUtMXEelAjIGzz4bPP3eJpe7dm7bZsgV+/GMYNsyNdrKqcCEiIslnbIp+ARljsoCewG7AWmttfUo6IlEZY4qBUoDS0lKKi4tT3CMRkfQxYQJMmxZYv/FGuPPOlHVHRDqizZujFxH3O+II+MMfVERcRESiKisro6SkxL9aYq0ti9U+Hkkd2WSMyTbGXGqMmQHsAjYAXwBDw9qdbIy5xxhzUzL7JyIiEq/wqXSq2yQiSecvIv7ZZ3DmmZHbzJzpioh/+9uuttPmzcnto4iIdEhJSzYZY/oAM4DHgCOAPMD4lnCrgeuB3xhjDk5SF0VEROIWnmyaNy/6wAIRkXY1eDC8/HIgsRTJP/8J550HvXu7Nrfc4ub/1mtygYiIJF5Skk3GmGzgTWA0YIGXgKuitbfWLgb8l9o4vd07KJ5TW1vLypUrWblyJbX69pfxFE9v8Uo8x4wJXa+qgoULU9KVlPJKPCVAMc1gY8e6YZbRioiDq+E0dy7ceqv7IOvdG849F55+Gr7+OqndlZbT+ektiqf3KKYByRrZ9F1gJFALnGStPdda+1Az93kDN+rpyPbunHhPXV0dS5YsYcmSJdTV1aW6O9JGiqe3eCWeRUWw776h2zriVDqvxFMCFNMMF1xE/A9/wEYqIh6svNwlpy65BPr1g4MPdkXopk7VFe3SkM5Pb1E8vUcxDUhWsuk83IimR62178R5n098P4fGbCUiIpIiqtskImkrPx9++lOqFi/mf9//PutHjMDutlvz91u0CO6+G44+2mXVTzvt/9m77/Coqq2P49+dQmjSFUsCWFFQwQIKKFiw916uvbx2wd7w2vtVQWzX3r1WrFdBuQqIBVBRAUFFgQQQQRBESd/vH3uGmZNkJm1mzsyZ3+d58mTOzpmTFRaTzKzZe2146CH45ZekhywiIsGRqmLTtqHPbzXiPr+FPndOcCwiIiIJUbPYNHmydhkXkTTTqRO/HHAAX4wYQWlJCXzwAVxyCfTuXf99V6+GN9+Ec8+FTTaBnj1h2DB47z34++/kxy4iIhkrVcWmDqHPjdn+Ijf0WV0LRUQkLdUsNi1cCMXF/sQiIlKvli1h6FD4179gxgxYsAAefdTtVNeuXf33/+EHuO8+2H9/6NQJ9tnH7Yb3/feqtIuIiEeqik3LQ5+LGnGfzUOflyY4FhERkYTo2dO93oqmpXQikjGKiuCMM+DVV2HZMpg0Ca65BnbYof77lpXBuHFw8cXQqxf06AFnnQVjxsCqVUkPXURE0luqik0zQ5/7NeI+x+D6PE1NfDgiIiLNl5NTe1c6FZtEJCPl58Muu8DNN8O0abBkCTz3HJxwgtuxrj4LFsAjj8Dhh7teT0OGwG23wddfQ3V18uMXEZG0kqpi0xu4neXON8Z0rO9kY8yRwEGhw9eSGJeIiEizqEm4iATSeuvBP/4Bzz4Lv/7qClA33+wKUrm58e9bWQkTJ8LVV8P227td7k4+GV580c2gEhGRwMtL0fd5FLgUt4xunDHmZGvtrJonGWPWA4YBl+FmNc0AXk5RjBIgOTk5dOzYce1tyWzKZ7AELZ81i03Tp7ueum3b+hJOygUtn6KcBk1C8pmT45bW7bCDW2b3xx8wfjy8/777KCmJf/8lS+CZZ9yHMdCvH+y7r/vo1w/yUvWSJPPp8RksymfwKKcRxqaomZ8xpg/wMdAeV0iaA2wZuv0N0BbYBDcDyuCaiQ+w1v6UkgClFmNMIVAMUFxcTGFhoc8RiYikn7/+gvbtoSpqO4v//c/tGi4iEnjWwqxZkcLTxIlQXt7w+3fsCHvt5QpP++zjZkGJiEhKlZSUUFS0tsV2kbW2nncR6peyUpu19htcz6bPcMWkLaO+3AfYLBSPAaYAO6nQJCIi6a5NG+jb1zumpXQikjWMgd694ZJL4IMPYPlyeOcdOP982Gyz+u+/YgW8/DKcdhpstBFsuy1cfrmr2peVJT9+ERFJipTOWQ0VjwYZY3YBDgZ2BNYDcnEzmb4G3rLWfpDKuERERJpj0CD48svIsYpNIpK12rSBAw5wHwA//QRjx7pZT//7H/z9d/z7f/ed+7jrLnetPfaILLnbZJPkxy8iIgmRkmV0xph8a21FE+/b21o7s/4zJdEyeRldeXk533zzDQB9+vShRYsWPkckzaF8BksQ8/nSS3DssZHjjh1dD9xsWKofxHxmO+U0WNIqn2Vl8MknkSV3M2Y07v6bbx4pPO22G7RunZQw01la5VOaTfkMnkzNaSYvo3vRGGMaeydjzLbA/5IQjwRcVVUVixYtYtGiRVRFN1KRjKR8BksQ81mzSfiKFTBnjj+xpFoQ85ntlNNgSat8FhTAnnu6WUvffQfFxfD443DUUdChQ/33//FHGD3azZrq1An23hvuucf1jEpRH1q/pVU+pdmUz+BRTiNSVWw6HHikMXcINRT/H9AlKRGJiIgkSFER1Jz8OXmyP7GIiGSMwkLXq+nll2HpUveL89pr3Q519b1PXVbmekRdconrGdW9O/zf/8Hrr8PKlamJX0REYkrlBP/TjDF3NeREY8wOwHigE/BnUqMSERFJgJqzm9S3SUSkEfLy3C/SG2+EKVNgyRJ4/nk48URYb736719cDI8+CkccAZ07w+DBcOutrqFedXXy4xcREY9UFZtG4HaZu9gYc3W8E40x/YAPcIWmlcA+yQ9PRESkeQYN8h6r2CQi0gzrrgvHHw/PPAOLF7ui0S23wK67Qm5u/PtWVcGkSXDNNbDjjrD++q5o9fzzbgaViIgkXUqKTdbaW4F7cAWnm4wxZ9d1njFmZ2Ac0AFYAextrf0iFTGKiIg0R82ZTXPmuCbhIiLSTDk5sP32cPXVMHEi/P47vPYanHmmW8dcn6VL4bnn4IQToGtXt0zv2mvdsr3KyuTHLyKShVK2jM5aeynwFK7gdL8x5pjorxtjBgLvA+2B5cBe1tqpqYpPRESkOfr0gVatvGOff+5PLCIigda+PRx+ODzyCMyfDzNnwt13w157uSbk8VgL06bBzTfDLrtAly6uQfnjj0NJszdfEhGRkFRvynwG8Ebo+z5jjNkXwBizK/Ae0A74HRhqrf0qxbGJiIg0WX4+9O/vHVOTcBGRJDMGevWCiy+GceNg+XL473/hwgthiy3qv//KlfDqq3DGGW6W1DbbwGWXwfjxrgm5iIg0SV4qv5m1ttoYcyzwX2AP4FVjzHXA9UAbYCluRtO3qYxLgicvL49NN9107W3JbMpnsAQ5nwMHwoQJkeNs6NsU5HxmK+U0WLIun61bw377uQ+An3+GsWPh/fddAemvv+Lff8YM9/Gvf7lr7bEH7Luv+wj9O/op6/IZcMpn8CinEcZam/pvakwb4H9AP8DiltYtBfa01s5IeUBSJ2NMIVAMUFxcTGHNfb1FRMTjnXfgoIMixy1bwqpVbtaTiIj4rKzMvQvw/vvu49tGvr+92WaRwtNuu0GbNkkJU0Qk1UpKSiiK9MArstY2e12xL8UmAGNMJ2Ai0Av4FVdo+t6XYKROKjaJiDTO77+79h/RpkxxvWhFRCTNLFzolt69/777/McfDb9vixYweLArPO2zD/Tu7Zb0iYhkoLQvNhljnmjkXTYE9gImAz/FOMdaa09vVmDSJCo2iYg03lZbwezZkeORI2HYMN/CERGRhqishKlTI7Oepk51zcQbaqONIrOehg6FDh2SFqqISKJlQrGpGrcsLmGXxBWbchN4TWmgTC42lZaWMiHUOGXIkCG0bNnS54ikOZTPYAl6Pk8/HZ6Ieuvl6KPhpZf8iyfZgp7PbKScBovy2UTLlsEHH7jC09ixsGRJw++bmws77xwpPm2/PeQkZl8m5TNYlM/gydScJqPYlOiOVQtIbLFJpEmstZSWlq69LZlN+QyWoOdz4EBvsWnyZPfmeFBXVwQ9n9lIOQ0W5bOJunSB445zH9XVrr9TeNbT5MluJlQsVVXunMmT4dpr3bX22ccVnvbeG9Zbr8lhKZ/BonwGj3IakdBik7W2RyKvJyIikmkGDvQeL1wIxcXQrZs/8YiISDPl5EDfvu7jyivdzg//+58rPL33HixYEP/+y5bB88+7D4AddojMetp5Z8jyHatEJJgSM59TREREAOjZEzp18o59+qk/sYiISBK0aweHHgoPPwzz5sH338O997rZSwUF9d//yy/hlltg113drKcjj4THHnPvTIiIBISKTSIiIgmUkwMDBnjHVGwSEQkoY2DLLWH4cDfTaflyN9tp2DD37kN9Vq6E116DM890U2C33houvdT1iwotxRERyUQqNomIiCRYzaV0KjaJiGSJ1q3d8riRI93WpD//DA89BIccAm3b1n//mTPh7rtdb6dOneCAA2D0aPjxx6SHLiKSSFogLCIikmA1i03Tp8Pq1Q17nSEiIgGy8cZw9tnuo7zcvfsQbjT+zTfx77tmDfz3v+4DYJNNyB86lK5durBsm22SH7uISDMktNhkjKkK3bTW2rw6xpvCcy0REZF016+f2/m6KvTXr6oKpk6F3Xf3Ny4REfFRixaw227u4/bbYdEiGDfOFZ7GjYMVK+Lf/+efyXvkEXYGqvLyYI89XL+nQw5p1g53IiLJYBK5HZ8xpjp001prc+sYbwrPtSR1jDGFQDFAcXExhYWFPkfUcJWVlSxZsgSArl27kqddPjKa8hks2ZLPHXd0PWDDbr4ZrrnGv3iSJVvymU2U02BRPjNEVRVMmxaZ9fTFF9DQ12nGwKBBcNhh7mPjjZMbqySMHp/Bk6k5LSkpoaioKHxYZK0tae41E11sui5821p7Q13jTRF9LUmdTC42iYj4bdgwuO++yPH++8O77/oXj4iIZJDff4cPP4wUn379teH37dMnUnjaZhtXjBIRiSPti00SLCo2iYg03UsvwbHHRo47doRly9xudSIiIg1mLXz7baTw9MknUFnZsPtuskmk8DRggP4IiUidVGySlMrkYlN1dTVlZWUAFBQUkKM/rBlN+QyWbMlncbHbxTrarFmw1Vb+xJMs2ZLPbKKcBovyGSzV1dWU/fYbuWPHkv/OO5j33oO//mrYnbt2df2dDjvM9Xtq0SK5wUq99PgMnkzNaTKKTWn7kxtjdjfGvG6Mec3vWCTzlJWVMW7cOMaNG7f2wS6ZS/kMlmzJZ1ER1KzRT57sTyzJlC35zCbKabAon8FSVlbGuC++4L0OHSh95hk3Zfbtt+G006BLl/h3XrIEHnkE9tsP1l0Xjj8eXnnFbZcqvtDjM3iU04i0LTYB3YBDQx8iIiIZZ+BA7/Gnn/oTh4iIBFTLlnDggfD447B4MXz8sWsaWHNqbU2rVsGLL8LRR7si1UEHwRNPuOKViEgCpHOxSUREJKMNGuQ9VrFJRESSJi8PhgyBkSNh3jy3JeqIEdC7d/z7lZXBO+/A6ae7pXa77QajRsH8+SkIWkSCSsUmERGRJKk5s2nOHL1pLCIiKWAMbL893HQTzJgBP/wAd9wBO+8c/37V1TBhAgwfDj16wA47wM03w8yZrlG5iEgDqdgkIiKSJH36QKtW3rHPP/cnFhERyWKbbw6XXw6ffQYLF8KDD8Lee7vZUPF89RVcey1svTX07AlXXOH+kFVXpyZuEclYKjaJiIgkSX4+9O/vHQtik3AREckgG24I55wDY8fC0qXw3HNwxBHQunX8+/34I9x5JwwY4HbAOPdcGDcOystTE7eIZBQVm0RERJJITcJFRCRtdegA//gHvPqqW+f95ptwyinQqVP8+y1eDA89BPvsA+utByecAK+9Bn/9lYqoRSQDqNgkIiKSRDWLTVOmQEWFP7GISHaxFv73vxyef35L3nprEyor/Y5I0lqrVnDwwfDkk7BkCfzvf3DBBW4WUzwrV8Lzz8ORR7qd7Q45BJ56Cn7/PSVhi0h6MjZNG70ZY04GngSstTbX73iykTGmECgGKC4uprC+PzRppLq6mrKyMgAKCgrIyVFdNZMpn8GSbfn8/Xf33DvalCnQr58/8SRatuUzGyinma+01L32HznS9YYO228/yzvvGJTSzOXL49Nat7PdmDHu4/vvG3a/3FwYPBgOOwwOPRSKipIaZibS79vgydSclpSUUBR5jBZZa0uae00VmySmTC42iYikk622gtmzI8cjR8KwYb6FIyIB9euvbmXTQw+5Vjx1ufVWuOqq1MYlATNnTqTwNGVKw++3446u8HTYYe4Po4ikjYwoNhljfk7QpdoCXVCxyTcqNomIJMbpp8MTT0SOjz4aXnrJv3hEJFimT3dF7BdfrL9Xc04OfPwx7LprCgKT4CspcX2exoxx/7Gqqhp2v549I4Wnfv3AmKSGKSLxZUqxqRqwQHN/Y4SvoWKTTzK52FRZWcmSJUsA6Nq1K3n1besqaU35DJZszOfjj8MZZ0SON9oIiouD8dw6G/MZdMppZqiqgnffhXvvda/xG2PDDV2Bat11kxGZJFNaPz6XL4d33nGFp7FjYc2aht1vo43cMrvDDnPL7vLzkxpmOknrfEqTZGpOk1FsSsYCwgWhj/nN/FgQ9VmkUSoqKpg2bRrTpk2jQp14M57yGSzZmM+aTcIXLnTFpiDIxnwGnXKa3lavhtGj3cSQQw6JX2gaOhRef72MY4+d7RlftAhOPBGqq5MbqyReWj8+O3WCk05yxaZly+D1191/tA4d4t9v4UJ44AH3H7ZrVzj5ZHjjDfj771RE7au0zqc0iXIakfAym7W2R6KvKSIiksl69nTPwZcvj4x9+il06+ZfTCKSWebPd0Wmxx5zm3/FUlDgdqEfPhy23hrWrKnG2jl8/30nvvlmvbXnjR0Ld94JV16Z/NglC7VuHVkmV1EBEya4ItQbb7hqZywrVsAzz7iPVq1g333dNQ48EDp2TFn4ItJ8mdEaXUREJIPl5MCAAd6xTz/1JxYRyRzWut8VRx0Fm2wCd98du9DUtSvceCMsWOAKUltvHflabi5cdNFXdO3qbZ8xYgRMmpTEH0AE3LK4oUPd7KXiYvj8c7jiCthii/j3W7PGFahOOgnWWw/22gsefNDNhBKRtKdik4iISArUXEqnYpOIxFJR4Zp977wzDBoEr74ae8lbnz7w1FNu5tO117rX5HXp0KGMp54qJ3oX7qoqOO642DvXiSRcTg7stBPcfrvbpnXmTLj5Zthhh/j3q6yEDz+E886DwkL34LjjDvjhh9TELSKNpmKTiIhICtQsNk2f7nqviIiELV/uXj9vsgkcf3zsXeWNgYMPho8+gq+/di1uCgrqv/6QIdVcd513bOFCN3FE/Zsk5YyBXr3gmmtg2jRXMR01CnbbDU9VtC5ffOHWgPbsCb17u2l6X37ppgOKSFpQsUlERCQF+vVzS1nCqqpg6lT/4hGR9DFnDpx7LhQVudfPJTH2AGrTBi64wE3mePNN95q8sbtaXnMN7Lmnd+z9913/JhFfdesGF17oqqhLlsATT8BBB9VfSZ01C265BXbcEXr0gGHDXOf8yspURC0iMajYJCIikgJt2kDfvt4xLaUTyV7WulVBBxwAW24JDz0Ue/Otbt3gX/9yRaj77oPNNmv6983Nheefh/XX946rf5OklS5d4NRT4a233M52r7zipvu1bx//fgsWuAfJ7ru7/+Tha6xZk5q4RWQtFZskkIwxtGzZkpYtW2Ia+5afpB3lM1iyOZ+DBnmPg1BsyuZ8BpVymlylpfD447Dttq7f8X//G/vcgQPda+y5c+GSS+rfQb4udeWza1d44QXq7N+0bFnjv4ekTlY+Ptu2hSOPdFXS335zWymefXbtimlNv//uGpodcgisu27kGn/8kYqoGyQr8xlwymmEsVrXKjEYYwqBYoDi4mIKCwt9jkhEJLO99BIce2zkuGNH98KuvtYUIpL5fv3VbaT18MPxG3Ln5bnd54YPh/79kxvTjTdSq4fTfvvBO+/o95JkgOpq17tpzBj38dNPDbtffr6b+XTYYa4QtcEGyY1TJAOUlJRQVFQUPiyy1sZY0N1wKjZJTCo2iYgkVnGxWw4TbdYs2Gorf+IRkeSbPh1GjnS7y5WXxz6vY0f4v/+D8893m22lQlUV7LMPjB/vHb/9drczvUjGsNbtbBcuPH39dcPuZ4zb2e6ww9xHc9aoimQwFZskpVRsEhFJvKIib/PfRx+FM87wLx4RSbyqKjc7aORI16c4ni22cLOYTjrJ9XZLtSVLoE8f9zksN9fFvcsuqY9HJCHmzYM33nCFp08+afh2i1tvHSk89e3b+A78IhlKxSZJqUwuNlVUVDBnzhwAevbsSX5+vs8RSXMon8GS7fk85hh4+eXI8amnug13MlW25zOIlNOmW70annzS7d4+d278c4cOhYsugn33Te6StYbk83//c/FEvyzYaCM3K6tLl+TFJo2nx2cTLF3qmoSPGQMffBB/imG0Hj3g0ENd4WnQIO+WsgmifAZPpuY0GcUmrcaWQKqsrGTu3LnMnTuXSm17mvGUz2DJ9nwGrUl4tucziJTTxps/Hy691C1/u/DC2IWmggI4/XT47jv3mnf//ZPfG6kh+dxjj9q9mxYudLOtGjohRFJDj88mWHdd98B75x3XKDHcQHGddeLfb948Nz1xyBDX1+mMM+Ddd12X/wRRPoNHOY1QsUlERCSFBg70Hs+Zo92fRDKRta5YfNRRsMkmcPfdsHJl3ed27eqacS9YAI895lbqpJsRI1zRKdp778Fdd/kTj0hSrLMOHH20a6K2dKnbDvLMM2G99eLfb+lSt43kgQe64tUxx8B//gOrVqUmbpEMpGKTiIhICvXpA61aecc+/9yfWESk8Soq3OvUnXd2MxVffTX27J++feHpp93Mp2uvrf/1rJ9yc92u8F27esevuQYmT/YnJpGkKihw2y8+8ggsWgSTJsHFF8PGG8e/3+rVbj38cce5wtP++7sGjNGNz0QkNcUmY0xVEz/+MsYsMsZMMMbcYYzpnYp4RUREkiU/v/Z25nohJ5L+li93u7RtvDEcfzxMmVL3eca43dQ/+gi++sotRSsoSG2sTbX++vDCC96eyFVVbsWRZmBKoOXmuo74d9/t1sFOn+7Wlm67bfz7lZe7KYD/939uqd2uu8I998Avv6QkbJF0lqqZTaaJH62A9YFdgUuBb40x/zbGZMifbBERkdpqLqXL9L5NIkE2Zw6ce67bSfKqq1wvo7q0aQMXXAA//OA2wdptt8zcyGqPPeCf//SOlZTAySerf5NkCWPcNOTrr4dvvnHFp3/9y01ljPegttbtfHfJJW5tbd++cMMN8O233u77IlkiL0Xf54bQ532BnUK3vwGmAUtDx+sCOwJ9AAtMBcYC7YCtgcFAPnAG0Ak4KhWBi4iIJFrNYtOUKW5pToZsWCISeNbChx+63sD//W/8c7t1c03BTz8dOnRIRXTJd+21MHGim50V9t//utfbl1/uX1wivthkE1dAuuQSt1TuzTfdznbjx7s/3rF88437uP56d43wznYDBiRlZzuRdJOSmU3W2huAclyhaQrQ11q7nbX2TGvt1aGPM6212wHb4YpQ/YBKa+1F1tq9gI2BD3Ezng43xuybithFREQSbcAA73FpqZuxLyL+WrPG9QDedlvYe+/4haaBA+GVV9ykh0suCU6hCdzr4BdeqN2/6eqrtexXslzXrm7J3HvvuabhL7zgdglo2zb+/X7+2S2v23VX2GijyDXKylITt4gPUjKzyRizG3AzMBPYzVobc79Ia+03xpghwJfA9caYz6y1H1prFxljDga+BTYFTgbeT3rwkpFyc3PZcMMN196WzKZ8BovyCZ07w5ZbwuzZkbFPP4V+/fyLqamUz+DJxpz++is8+CA89FD83kR5ee515fDhtXuvpaum5nP99V3D8L32iqwACvdvmj7d/R6T1MvGx2faat/eNQk/7jj3rtH48W7G05tvxv9FsmSJayj+6KO0bNeOXXbemRW77UbuXnulLnZJGj1GI4xNwfpRY8wY4GDgVGvtMw28z8nAk8Db1tpDosaHA/cA86219WwVIM1hjCkEigGKi4spLCz0OSIRkeA4/XR44onI8dFHw0sv+RePSDaaPt0tlXvxRdfnN5aOHeGss+C88yDbng5df71rOxPtgAPgrbcgR/tai9RWVeWmAI4Z4z7mz2/Y/QYPhrffhnbtkhufSB1KSkooKioKHxZZa0uae81U/YkIv/czoxH3+S70ueb7vNNCn9N481gREZH4avZtmjxZ/UNFUqGqyk082H132G47ePrp2IWmnj3dbKfiYrjttuwrNIHr37T77t6xd991m3aJSB1yc13h6N573a50X33lHkhbbx3/fhMnwsUXpyZGkRRIVbGpU+hzY8q04XM71hj/M/RZT8lFRCRj1Sw2LVzoXtCKSHL8+SeMHu0KSIceCh9/HPvcvfZyBZVZs+Dss91Oc9kqVv+mq67STpoi9TLGVbVvvBG++85tV3nnnbWbN4Y9/rib3SQSAKkqNi0OfT4k7lleh9W4b1i4cLWUNGWMaWuMGWyMudQY87Ix5hdjjA19zGvgNXpE3ae+j6eS+xNlnrKyMiZOnMjEiRMpU+O9jKd8Bovy6fTsCZ06eccy8YWb8hk8QcvpvHlw6aVQVOR2jZs7t+7zCgrc8tbvvoNx42D//YOxTCwR+Qz3b4re9b2qCo45Bn7/PUGBSoME7fGZdTbfHC67zP3BX7SIitGjqWzd2nvOGWe45uOSkfQYjUjVn9CxuF3kzjXGHFTfyaFG4OfgZi/VbAK+Q+hzs9cQJtHbwATgLuAooIev0WSh6upqVqxYwYoVK6iurvY7HGkm5TNYlE8nJ6f2G5uZWGxSPoMnCDm11j2ejjoKNt3ULflaubLuc7t2dZMOFiyAxx6rf6VLpklUPvfc060EilZSAiefDBn63yQjBeHxKSEbbEDl6afz3Wmnecd/+81NqdTa+oykx2hEqopNtwKrcbvfvWGM+Y8x5kBjzAbGmLzQxwahsZeAMaFz/wJur3Gto3FFqP+lKPamiHrfh+XAONzP31QjgG3ifFzTjGuLiIhPai6ly8Rik0g6qahwzb532gkGDYJXX41dCOnb1/Vrmj/fFVHWUzfQev3zn7Dbbt4x9W8SaZ4Fe+7J4prb0b7+uptOKJLB8lLxTay1xcaYQ4E3gTa42T5HxbmLAf4GDrfWLlg7aMymuALURFxBKl29APwbmGqt/QkgtHyubROvt9Ba25jm6iIikgFqFpumT4fVq6FtU/9aiGSp5cvhkUfg/vtd/7NYjIGDD4bhw2HIEO+yMKlfuH9T375u8kXYVVe54l7N32ki0gDG8M1557H+pZdili2LjJ9/vvtFFdkhTCSjpGwlurX2f8C2uIJTNa6gVNeHxS1D62Ot/bDGNeZaa3cPfUxPVeyNZa19xFr7YrjQJCIiUpd+/dyLt7CqKpg61b94RDLNnDlwzjlul7irropdaGrb1vVr+uEHeOMNNztHhaam2WCDuvs3HXus+jeJNFVZhw6U33efd3DlSjj1VK1TlYyV0raH1tpfrLWHAd2AE3BL5P4d+rgdOBHobq09xFobo32jiIhIMLRp42YIRNNSOpH4rIUPPoADDoAtt4SHH4Y1a+o+t3t3+Ne/3E6Po0bBZpulNtagGjq0dv+m4mL1bxJpjupDD4UTT/QOjh8PDz7oSzwizZWSZXQ1WWsX45aaiYiIZLVBg+DLLyPHKjaJ1G3NGreEa+RImFFPc4GBA+Gii+DQQyHPl2e7wffPf8LEifDxx5Gxd9+Fe+5xu/+JSBPcdx989JHrvh92+eWw115uG1uRDBKADV2zwgXGmJ+MMaXGmJXGmJnGmIeNMdv7HZiIiDRPzR4nn32mmQEi0X791RU2unVzO4LHKjTl5cFxx8EXX8DkyXDkkSo0JVO4f1PNxupXXqmiuUiTdegATz7pHVuzBk46CSorfQlJpKl8+xNsjOkKbA10Cg0tB2ZYa5f4FVMaiy4qFQC9Qh9nGWP+DQyz1pY19qLGmMJ6Tlk/fGPNmjWsiTFHvUWLFuSGmo5UVVVRXl4e96KtWrVae7uiooLKOL84c3JyKCgoWHtcXl5OVVVVzPPz8vLIz88nLy+P3r17U1FRQUVFRczzw+eC26ayrCz+P2NBQQE5Oa5GW1lZGffaxhhatmy59ri+nzU3N5cWLVqsPS4rK4u7XWb4Zw2LlZ+wdMxTWGlpKTbO9q7GGHr37r32e9X3sypPdUt2nhr6eKqoqGCLLbYgLy9v7fnZnKfttzdA5GdbscL1odlqK3fsV57C6ns8hfMZ/nrNrwUlTzWly+MpLJG/96JzWlFR4VuevvnGcP/9ebz8ci4VFbEbLHXsaDn99Er+7/8qKSwMf0/3Och5qilWnmrmMywReerQAR5/PIeDD26BtSb0NTjmmGqmT8+hc+eGxa48NfzxFCufYfq9V7d0fR6Rl5fHVlttRVVVVST+QYPIP+cc8h56KHKHKVPg9tthxAjlKUo6Po8Ivw715LQO6ZaneP9uTZXSYpMxxgD/B5yPK5bUdc4sYDTwqI33r5cd/sDtuvcx8CNQCmwA7A2cjtvd7ixgHeAfTbh+cUNPnDhxIl26dKnza7vuuiudOrma4cqVK5k0aVLcax1yyCFrb8+fP5+ZM2fGPLdjx44MHjx47fE333zDokWLYp6/6aabsvXWW5Ofn89mm23G2LFj+eGHH2Kev+OOO7LRRhsB7pfTuHHj4sa+9957r/2jvGTJEqZNmxbz3JYtW7LPPvusPZ4zZw5z58ZuRbbhhhvSL2rb0y+++IIVK1bEPL93795sFtV8or7Y0zFPYRMmTKC0tDTm+TvuuOPan3XNmjXKU5R0y1NjH0/hP5rZnqfOnffm998jT/gnT44Um9IhTw19PC1YsCDQeYqWjo+nZPze++GHH1Kap+XLV3LvvT/y1lubMnNm3c87wnr2hOOP/42ePafQsmUVs2bBrFnec7IlT9Cwx1P0c6JEPp6OOmpLXn45ssSnpCSHU06Bt95yjcT1eIpo7uPpo48+Wnu7rue4+r1Xt3R9HpGfn0+XLl2YNGmSJ5+5u+3Gbm++Sdvof98bboD992d+u3bKU0g6Po8Ivw796aefPI/XmtItT7161VmeaZaULaMzxnQEJgIP4gpNsXaj6wU8BEw0xnRIVXxpaBGwkbX2NGvtM9baz6y1X1tr/2utHY6b7bQgdO7xxpiDfYtURESaZcstl3uOtQRFss2ff7pWJTvt1J7bbtspbqFpr71cb6BZs+D441fRsmXsd4IlNY45ZjZbb73UM/bOO65/k4g0XlVBAV8OH051TtTL9cpKOPFETD0zVETShUnF5KHQjKYJwC6hod+Bl4EvgF9DY+sD/YGjgS6ABT6x1g5JUkyJ+MFPtdY+1cDvNw/oDsy31vZIwPfGGLMrroAH8KG1dq9G3r8hy+imgnvnpLCw7tM1XbduQZgG2tDYlSflCZSneOrL04MP5nLppZF4e/aE2bPdbeUpwu88RdPjKTF5mj/f8O9/t+CJJ3JYtSrmaRQUWI49torzz69kxx0bHrvylLrH0+LFMGBAS377LbLkMS/PNRHfcUflKczvPNWk33t1S5c85d14I/m33+4Zq7roIspvuSXmtZUnPZ6g8XlaunQp3bt3Dx8WWWtL4p3fEKkqNv0DeBZXQHoBONda+2eMc9sCDwAnhs4/wVr7YhJiyvhiU+i6M3GzwUqBNtbahC22DBWjigGKi4tjFpvSUfRSq+ipm5KZlM9gUT5rmzYNomaBA7B0KcRYvZxWlM/gSXZOrXWz90aOhNdfj98Qv2tXOO88OPtsWHfdhIaRNVL5GP3gA9hnH5fjsKIimD4dOnWKeTdpBP3ODZZ681leDgMGwFdfRcaMcTvWDUnKnAxppkx9jJaUlFBUVBQ+TEixKVXL6I4PfZ5grT0xVqEJwFq72lp7Mm4mlAFOSFJMWyXgY0ySYmuMcHeClkBnPwMREZGm6dMHaj4X+fxzf2IRSZaKCnjxRdhpJ9hlF3j11diFpr594emnYf58uPZaFZoyxV57wYgR3rHiYjj5ZG8BSkQaqEULeOYZiJoBg7VwyinEnQ4qkgZSVWzaHjdL6f5G3Gd06PN2iQ8HrLWzE/CxMhmxNZL+dIuIZLj8fOjf3zs2ebI/sYgk2vLlbhOljTeG44+HqVPrPs8YOOQQ94b9V1+5nb6jX19JZrjuutoTLtS/SaQZeveGW2/1js2bBxdf7Es4Ig2VqmJTeOLsL424T/hcTbqNL9w2vgzXC0tERDLQwIHeYzUJl0w3ezaccw4UFsJVV8HChXWf17YtXHgh/PADvPEG7LabKzxJZsrNhRdeqD0b7corNWNTpMmGD69dxX38cXj7bV/CEWmIVBWbwjOANmzEfTYIfdb8wBiMMYOA3qHDTxLZr0lERFKrZrFpyhS37Egkk1jr+vbsvz9stRU8/DDE6r/avTv8619umdWoURC1G7VkuA03hOee8xYNKyvhmGPcTDcRaaScHHjqKVedj3bGGa7Jo0gaSlWxaUbo86mNuE/43BlxzwooY8yhoV38Yn19M1yz9bAHkx+ViIgky4AB3uPSUtdUVyQTrFkDjz0G22wDe+8N770X+9xBg+CVV+Cnn+CSS6BDh5SFKSm0995wzTXesQULXKsZ9W8SaYIePVxlPtpvv7kdFPSgkjSUqmLTq7hm34cZY66PV0QBMMZcCxyB60f0SgriSyhjzGbGmFOiP4BwGbptza8ZY9av4zJjgB+MMXcYY44wxuxkjOlrjNnPGDMS+BroFjr3ZWvt60n/wUREJGk6d4Ytt/SOaSmdpLvFi10D727d4MwzYebMus/Ly4PjjoMvvoBPPoEjj3RjEmx19W96+224915/4hHJeKeeCgcd5B17/XV4/nl/4hGJI1V/5h8FLgB6AtcChxtjngK+AH7DFZW6AjsBJwNbh+43O3TfTLML8GSMr3Wu42u7A7/Wce5mwOX1fK+HgIsaFZ2IiKSlgQNdn5uwTz+FYcP8i0cklunTXcHgxRfjL/fs2BHOOgvOO8/1bpLskpfn+jf17etd6XPFFe733c47+xaaSGYyBh59FLbeGpYti4yff76r7Ea2rhfxnbEpmnJnjOkBjAc2pv4d1AzwM7CHtXZBkkNLuNBMpljFprrsbq39uMY1DgIG4Apw3YEuQBtcD6ufgUnAE9bapC0zNMYUAsUAxcXFFGbQs8SqqipWrnStwtq3b09ubq7PEUlzKJ/BonzG9vjjrv1C2EYbuX426dwsWfkMnlg5rapyu4rdey9MmBD/Gj17un62J54IbdokOWCJKx0eo+PGwb77elf6dOsGX38NnbQVUKOkQz4lcZqcz9dec1NEo+25p3uw5aRq8ZLUJVMfoyUlJRRFipVF1tqS5l4zZcUmAGNMG+B64HSgQ4zT/gAeA2601q5OSWBSp0wuNomIZKLvv4devbxj8+e7F2UifvnzT3jySbjvPpg7N/65e+3likz77qvXO+I1YgTccot37KCD4M0307ugLpK2TjoJnn3WOzZ6tJvlJNJIGV9sWvtNjWkB7IBbLhd+P2M5rhn4l9ba8pQHJbWo2CQiklrV1W678Ojdml58EY491r+YJHvNm+detzz2GKyKszdwQQGccIIrMm29dezzJLtVVrqJFxMnesfvvhsuvtifmEQy2h9/uF0ZSqJqAq1auSmDPXv6FpZkpsAUmxoiVOjYHsBa+5bP4WSlTC42Zer0Ramb8hksymd8Bx4I774bOb7gAjejJF0pn8Hz3XdVjBhRxTvv5FNdHXvKSdeurhfT2We7Iqmkp3R6jC5aVLt/U16eaxq/006+hZVR0imf0nzNzueHH7oppdH694fJk7ULg08y9TGajGJTOk9w3hN4A9Aua9Jo5eXlTJo0iUmTJlFerolymU75DBblM76BA73H6b4jnfIZLF99BbvsksNbb7WIWWjq2xeeftot8bz2WhWa0l06PUY33BCee867bK6yEo45xjujU2JLp3xK8zU7n0OHunelok2ZArffnpgApdH0GI1I52JTmFZxi4hI1qhZbJo+HVarg6GkQFUVnHkmrFpV+6mXMXDIIfDxx64gddJJbvmcSGPtvTdcfbV3bP58t6N7mi64EElvt98OW2zhHbvhBvfLWsRHmVBsEhERyRr9+kH0jOuqKpg61b94JHv8+9+1X5u0bWu58EL44Qd44w23s7aaOUtzXX89DB7sHXvrLRg50o9oRDJc69auUXj0k4fKSrcdaGmpf3FJ1lOxSUREJI20aeOWKUVL96V0kvmWLKk926Sw8E9++KGUUaNgs838iUuCKS8PXngBunTxjl9+OXzxhT8xiWS0/v1r/xKfNcttAyniExWbRERE0sygQd5jFZsk2S6/HEL9TNc666xv6NDBl3AkC2y0kevfFC3cv2nFCn9iEsloI0bA9tt7x+65ByZM8CceyXoqNomIiKSZmn2bPvsMqqv9iUWCb8IEeOYZ79iQIcVss83v/gQkWWOffdS/SSRhWrRwv8yjG+pZC6ecAqtW+RaWZC8Vm0RERNJMzWLTihUwZ44/sUiwVVTAeed5x9q1s5xyykx/ApKsc8MNsOuu3rE334RRo/yJRySj9e4Nt97qHZs3Dy6+2JdwJLup2CQiIpJmioqgsNA7NnmyP7FIsI0aBTNr1JWuu66Cjh3L/AlIsk5eHrz4Yt39m6ZM8ScmkYw2fLjbzSHa44/D22/7Eo5kL2PTdI6qMeZk4EnAWmtz6ztfEs8YUwgUAxQXF1NY85WPiIgkzTHHwMsvR45PPRWeeMK/eCR4Skpgyy3hr78iY9tt517g5+X5F5dkp7FjYd99vWPdu8PXX0PHjv7EJJKx5s2DbbaB1asjY+utBzNmwLrr+haWpK+SkhKKiorCh0XW2pLmXjPhTyWMMf9M0KX6Jug6IiIiGWfQIG+xSU3CJdEuushbaAJ48EEVmsQf4f5N0SuAwv2bxowBY/yLTSTj9Ojhpq6efnpk7Lff4Oyz4dVX9YCSlEj4zCZjTDWQqIsaNLPJN5rZJCLin2nToF8/79jSpbWXmog0xfvvw377ecfOPBMeecSfeETA7Ua3xx4waZJ3/N573cogEWkEa+GQQ2ovn3v2WTjhBH9ikrSVjJlNySo2JZKKTT7J5GJTRUUF8+fPB6B79+7k5+f7HJE0h/IZLMpnw1RUQPv2sGZNZOztt+HAA/2LqS7KZ+YpLYWtt4a5cyNjnTu7JvSdOyunQZNp+Swpccs5ly2LjOXnwyefQP/+/sWVLjItnxJf0vO5ZIn7hR/9gGrfHr77zjWIlITL1MdoRiyjA3ZPwjVFGqWyspKZoY6nG220UcY8yKVuymewKJ8Nk5/vXlhNmBAZmzw5/YpNymfmufNOb6EJ4I47XKEJlNOgybR8Fha6iRfRM+8qKlwfu6++Uv+mTMunxJf0fHbtCg8/DEceGRlbudKtTx03DnK0X1ii6TEakfBik7V2Qv1niYiISH0GDvQWm9S3SZpr7tzau2IPGOBed4iki333hauugttui4zNmwennQavv652MyKNcsQRcOKJroobNn68a9J3/vn+xSWBp1KmiIhImho40Hs8ZYp7h1+kKayFCy6AsrLIWE4OPPSQ3tyW9HPjjbDLLt6xN96A++7zJRyRzHbffW7aYLTLL3frp0WSRE8tRERE0tSAAd7j0lKYPt2XUCQA3ngD3nvPO3bBBdCnjy/hiMSVlwcvvlh7U4TLLnOFdxFphA4d4MknvWNr1sBJJ7nO/CJJoGKTiIhImurcGbbc0jumpXTSFH/9BcOGecc22MDNHhFJV+H+TdHC/Zv++MOXkEQy19Ch7h2GaFOmwO23+xOPBJ6KTSIiImms5lI6FZukKW66CYqLvWN33w3t2vkTj0hD7bsvXHmldyzcvynBm2qLBN/tt8MWW3jHbrjBdd8XSTAVm0RERNJYzWLT5Ml6gSWNM2uWKyxF22MPOPZYf+IRaaybboJBg7xjY8bA6NH+xCOSsVq3dtMFc3MjY5WVroF4aal/cUkgqdgkgZSTk0PHjh3p2LEjOep6mvGUz2BRPhunZrFp4cLaM1T8pHymN2vh3HO9LTny8+GBB2Lv6KWcBksQ8pmXB//5j1taHO3SS2HqVH9i8ksQ8ikRvuSzf3+4+mrv2KxZMGJEar5/wOkxGmGs3h6VGIwxhUAxQHFxMYU1dzAQEZGkq66GddeF5csjYy++qFkp0jDPPw8nnOAdu+oquPVWf+IRaY733oP99/eO9egBX3/t+h+LSAOVl7tdSKKXzxkDH30EQ4b4F5f4pqSkhKKiovBhkbW2pLnXzO5Sm4iISJrLyam9K536NklD/PEHXHKJd6x7d715LZlrv/3Uv0kkIVq0gGeegYKCyJi1cMopsGqVb2FJsKjYJCIikubUJFya4p//hCVLvGP33edadohkKvVvEkmQ3r1rT3OdNw8uvtiXcCR4tIxOYsrkZXTl5eV88803APTp04cWLVr4HJE0h/IZLMpn4338Mey+e+Q4N9fNWmnb1q+IIpTP9PTVV9Cvn1uGGXbggfD22/XfVzkNliDms6QE+vaF33+PjOXnuw0U+vXzLayUCGI+s5nv+ayudjtGTJjgHX/rLTjooNTGEhC+57SJtIxOpIGqqqpYtGgRixYtoqqqyu9wpJmUz2BRPhuvXz/vxjFVVenTFFf5TD/V1a4peHShqWVLN6upIZTTYAliPgsL3QqgaBUVcMwxrhAfZEHMZzbzPZ85OfDUU7XfvTrjDFi6NPXxBIDvOU0jKjaJiIikuTZt3Lv40bSUTmJ5/HH44gvv2DXXwMYb+xOPSDLsvz9ccYV37Jdf4PTT1b9JpFF69IBRo7xjv/0GZ5+tB5M0i4pNIiIiGaBmjxIVm6QuS5fWfgG++eZw2WX+xCOSTHX1b3r9dbj/fn/iEclYp55ae9nc66+7LU1FmkjFJhERkQxQs0n4Z595l0mJgNupa8UK79gDD3g3HBIJivx8ePFF6NzZO37JJTBtmj8xiWQkY+DRR6FLF+/4+edDcbE/MUnGU7FJREQkA9QsNq1YAXPm+BOLpKdPP4UnnvCOHX007LWXP/GIpEJRUd39m44+Ovj9m0QSqmtXePhh79jKlW7Wk97dkiZQsUlERCQDFBW5prjRJk/2JxZJP5WVcM453rG2beGee/yJRySV1L9JJEGOOAJOPNE7Nn48PPigP/FIRlOxSUREJEPUnN2kvk0S9sAD8O233rEbboCNNvInHpFUu+mm2r8jX3/dPTZEpBHuu6/2u1uXX67p1NJoeX4HIJIMeXl5bLrppmtvS2ZTPoNF+Wy6QYPg5Zcjx+lQbFI+/bdoEVx7rXdsm23ggguadj3lNFiyJZ/5+fCf/7idO5cvj4xfcgnsvDPsuKNvoSVUtuQzW6RlPjt0gCef9K7BXrMGTjrJTalOlzjTVFrm1CfGam6pxGCMKQSKAYqLiymsWeEWEZGUmjYN+vXzji1dWrufp2SX445zL7KjTZoEu+ziTzwifnr3XTjwQO/YxhvDV1+519Ai0kAXXgijR3vHbroJRozwJx5JqpKSEoqKisKHRdbakuZeU8voREREMkSfPtCqlXfs88/9iUXSw/jxtQtNp5yiQpNkrwMOcCt+ov3yC5xxhvo3iTTK7bfDFlt4x264wVVuRRpAxSYREZEMkZ8P/ft7x9QkPHuVlcF553nHOnaEO+/0Jx6RdHHzzbX7N732mvo3iTRK69bw7LOQmxsZq6x0DcRLS/2LSzKGik0SSKWlpYwdO5axY8dSql+GGU/5DBbls3nSrUm48umfu++u3a/1tttg3XWbd13lNFiyMZ/h/k2dOnnHL7kEvvzSn5gSJRvzGWRpn8/+/eHqq71js2bBNdf4E08GSPucppCKTRJI1lpKS0spLS1Ffckyn/IZLMpn89QsNk2ZAhUV/sQCyqdf5s1zszei9evnlgo1l3IaLNmaz6IieOYZ71h5ORx9NKxc6U9MiZCt+QyqjMjniBGw/fbesXvvhY8/9iWcdJcROU0RFZtEREQyyIAB3uPSUpg+3ZdQxEfDhrnNgcKMgYce8q52EMl2BxwAl13mHfv5Z/VvEmmUFi1c5bagIDJmrWsQuGqVb2FJ+lOxSUREJIN07gxbbukd83spnaTW22/DW295x845B3bYwZ94RNLZLbfULtK/+io8+KA/8YhkpN694dZbvWPz58NFF/kTj2QEFZtEREQyTLr1bZLU+ftvtxt1tPXWq72kTkScWP2bLr448/s3iaTU8OEwZIh37Iknar/7IRKiYpOIiEiGqVlsmjxZS0Kyxa23un5N0f71L7cLnYjUrVs3ePpp71gQ+jeJpFRODjz1FLRt6x0/80xYutSXkCS9qdgkIiKSYWoWmxYuhOJif2KR1JkzB+66yzs2eDCccII/8YhkkgMPVP8mkWbr0QNGjfKO/fYbnHWWHkhSi4pNIiIiGaZnz9pLQrSULtishfPPd7MxwvLy4IEHXHNwEamf+jeJJMCpp8JBB3nHxoyB557zJx5JWybbt+OT2IwxhUAxQHFxMYWFhT5H1HCVlZUsWbIEgK5du5KXl+dzRNIcymewKJ+JceCB8O67keMLLoD77kt9HMpnarz8MhxzjHfsssvgzjsT/72U02BRPr0WLIDttoPlyyNjLVrAZ5/V3t09HSmfwZKx+VyyBLbeGpYti4y1awczZkBRkX9xpYFMzWlJSQlFkdwVWWtLmntNFZskpkwuNomIBN2tt8I110SOd9gBpk3zLx5JnlWr3A6EixdHxgoL4fvva7fOEJH6vfNO7YkZm27qGoa3b+9PTCIZ57XX4MgjvWN77gnjxrn+TpJRklFs0v8CERGRDFSzb9P06bB6tS+hSJJdf7230AQwcqQKTSJNdeCBcOml3rG5c12fY70PL9JARxwBJ57oHRs/3q3vFkHFJgmo6upq1qxZw5o1a6iurvY7HGkm5TNYlM/E6NcPcnMjx1VVMHVq6uNQPpPr229rL4/cZx84/PDkfU/lNFiUz7rdeivsvLN37JVX4KGH/ImnoZTPYMn4fN53n5tqG+3yy2H2bH/iSQMZn9MEUrFJAqmsrIxx48Yxbtw4ysrK/A5Hmkn5DBblMzHatIG+fb1jfjQJVz6Tp7oazjnHFRLDCgrg/vuT2xRcOQ0W5bNu+fnw0kvQsaN3/KKL4Kuv/ImpIZTPYMn4fHboAE8+6R0rLYWTToLKSl9C8lvG5zSBVGwSERHJUIMGeY+1I12wPP107ZxeeSVstpk/8YgETbdu7nEWrbwcjj7a9UoTkQYYOtTtUhJt6lS47TZ/4pG0oWKTiIhIhqrZt+mzz9xsGMl8y5e7lQjRNtkErrjCn3hEguqgg9S/SaTZbr8dttjCO3bjja7rvmQtFZtEREQyVM1i04oVMGeOP7FIYl19tXdHaXDL51q18icekSCrq3/Tyy/Dww/7E49IxmndGp591ttMsrLSNRBfs8a/uMRXKjaJiIhkqKKi2n05J0/2JxZJnClT4JFHvGOHHw777edPPCJBF6t/0/Dh8PXXvoQkknn693fvlET7/nsYMcKfeMR3KjaJiIhksJqzm9S3KbNVVbmm4NHLd1q3hpEjfQtJJCvE6t901FHq3yTSYCNGwPbbe8fuvRc+/tiXcMRfKjaJiIhkMBWbguXhh2vvhHXddW4Wm4gk10EHwSWXeMfUv0mkEVq0cMvpCgoiY9bCKaeoapuFVGwSERHJYDV3pJszp3avH8kMS5bANdd4x7bayi3lEZHUuO029W8SaZZevWrvRDd/Plx0kT/xiG+MVZleYjDGFALFAMXFxRTWbAySxqqrqykrKwOgoKCAnBzVVTOZ8hksymdiVVRA+/be/ptvvw0HHpia7698Js5JJ7k3hKN99BHstltq41BOg0X5bLz582G77dymC2EFBW7Hz+228y8uUD6DJrD5rK6GPfaACRO842++CQcf7E9MKZKpOS0pKaEoMo26yFpb0txrZsZPLtJIOTk5tGrVilatWmXMA1xiUz6DRflMrPx815MzWiqbhCufiTFhQu1C0wknpL7QBMpp0Cifjde9e+3+TWVlcPTR/q8EUj6DJbD5zMmBp56Cddbxjp95Jixd6ktIqRLYnDZBdv/0IiIiAaC+TZmtogLOPdc71q4d3HWXP/GIiOvfdPHF3rGffoL/+z/1bxJpkB49YNQo79hvv8FZZ+lBlCVUbJJAqqysZOHChSxcuJDKykq/w5FmUj6DRflMvJrFpilTXAEjFZTP5hs5EmbN8o7dcgusv74v4SinAaN8Nt1tt8FOO3nHXnoJ/v1vf+IB5TNoAp/PU06pvWxuzBh47jlfwkmFwOe0EVRskkCqqKhg2rRpTJs2jYpUveKSpFE+g0X5TLwBA7zHpaUwfXpqvrfy2TzFxXDDDd6x7baDc87xJx5QToNG+Wy6Fi1ccalDB+/48OHw9dd+RKR8Bk3g82kMPPIIdOniHT//fPcHMIACn9NGULFJREQkw3XuDFtu6R3TUrrMcNFF8NdfkWNj4KGHIDfXv5hEJCKd+zeJZISuXV3BKdqqVXDqqa6RuASWik0iIiIBoL5Nmef99+G117xjZ55Ze9mOiPjr4IPVv0mkWQ47zG25Gm38eHjgAX/ikZRQsUlERCQAahabJk/Wi6B0VlrqVhFE69wZbr3Vn3hEJL5Y/ZtqTtgQkRhGjYKiIu/Y5ZfD7Nn+xCNJp2KTiIhIANQsNi1cGNh2CIFwxx0wd6537M47XcFJRNJPrP5Nw4alrkeeSEbr0AGefNI7VlrqZjxleSPtoFKxSUREJAB69oSOHb1jWkqXnubOdbMkog0c6DbtEZH01b07PPWUd0z9m0QaYc894cILvWNTp9b+oyiBoGKTiIhIAOTkqG9TJrDWLZ8rK4uM5eTAgw+6zyKS3g45xDX2j/bjj+rfJNJgt93m3iGLduON8OWX/sQjSaOnNRJIxhhatmxJy5YtMcb4HY40k/IZLMpn8vhRbFI+G2fMGNcYPNqFF0KfPv7EUxflNFiUz8S7/Xbo3987lqr+TcpnsGRlPlu3hmee8W67WlkJJ54Ia9b4F1eCZGVOYzBWJXiJwRhTCBQDFBcXU1hY6HNEIiISz8cfw+67R45zc+GPP6BtW78ikmirV0OvXt5eWhts4HqjtmvnX1wi0njz5sF227nfsWEFBfD559C3r09BiWSS665zM5qiXXwx3H23P/FkuZKSEooiDdyLrLUlzb2mZjaJiIgERL9+3jcKq6pcKwRJDzfdVLtp+z33qNAkkol69Ijdv+nPP/2ISCTDjBgB22/vHbv3XvfOmQSCik0iIiIB0aZN7XfU1bcpPcya5QpL0fbcE445xp94RKT5YvVvOuss9W8SqVd+Pjz7rJsSGGat2y1DHfcDQcUmCaSKigpmzJjBjBkzqKio8DscaSblM1iUz+QaNMh7nOxik/JZP2vh3HO9Ozvn58MDD0A6tnNQToNF+Uyuuvo3vfgiPPpocr6f8hksWZ/PXr1q70Q3f37tKm4GyfqcRlGxSQKpsrKSuXPnMnfuXCqjn91LRlI+g0X5TK6aTcI/+wyqq5P3/ZTP+j3/PEyY4B277LLam/GkC+U0WJTP5GrRwjUH79DBO37hhfDNN4n/fspnsCifwLBhMGSId+yJJ+Ctt/yJp5mU0wgVm0RERAKkZrFpxQqYM8efWMQ1D770Uu9Y9+5wzTW+hCMiSdCjBzz5pHesrAyOOkr9m0TqlZPjGqCts453/MwzYelSX0KSxFCxSUREJECKiqDm5qGTJ/sTi8C118KSJd6x++5zOz+LSHAceigMH+4dU/8mkQbq0QNGjfKO/fabHkAZTsUmERGRgKk5u0lNwv3x1Vfw4IPesYMOgoMP9iceEUmuO+5wu4JGe/FFeOwxf+IRySinnFL7D+SYMfDcc76EI82nYpOIiEjAqNjkv+pqOOccb7+sVq1qv3ErIsERq3/TBRckp3+TSKAYA488Al26eMfPPx+Ki/2JSZpFxSYREZGAqbkj3Zw5sGyZP7Fkq8cegylTvGPXXAMbb+xPPCKSGhtvXHf/pqOPVv8mkXp17eoKTtFWrYJTT03ubieSFCo2iYiIBEyfPm4WTbTPP/cnlmy0dClceaV3bIstajcKF5Fgqqt/0w8/qP2MSIMcdhicdJJ3bPx4eOABf+KRJlOxSQIpNzeXDTfckA033JDc3Fy/w5FmUj6DRflMvvx86N/fO5asJuHKZ21XXul2AYz2wANQUOBPPI2lnAaL8umPZPVvUj6DRfmMYdQot+NJtMsvh9mz/YmnEZTTCGNVXpcYjDGFQDFAcXExhTW3NxIRkbR19dVw222R48GDYcIE/+LJFpMnwy67eMeOOQb+8x9/4hER//zyC2y3HaxcGRkrKIAvvnAzUEUkjvHjYehQ71i/fq4RZV6ePzEFWElJCUWRAl+RtbakudfUzCYREZEAqtkkfMoUqKjwJ5ZsUVkJ557rHVtnHbjnHn/iERF/qX+TSDPsuSdceKF3bOpU7ztpktZUbBIREQmgAQO8x6WlMH26L6Fkjfvvh2+/9Y7dcANsuKE/8YiI/w47DIYN84798AOcfbb6N4nU67bboGdP79iNN8KXX/oTTwNVVbnNWbKdik0SSGVlZUycOJGJEydSVlbmdzjSTMpnsCifqdG5M2y5pXfs008T/32UT2fRIvjnP71j227rtjzPNMppsCif/rvzztr9m154AR5/vPHXUj6DRfmsR+vW8MwzEN37qLISTjwR1qzxL64YVq2Cu++upFu3Ney0Uzl//JHdOVWxSQKpurqaFStWsGLFCqq1TWbGUz6DRflMnZpL6ZJRbFI+nUsuqb0s5sEHM7OthHIaLMqn/1q0gJdegvbtveMXXFB7NmR9lM9gUT4boH9/uOYa79j338OIEf7EU4e5c90OlIWFcOmleSxa1IqVK1vw4ovG79B8pWKTiIhIQNUsNk2erGUbyTB+fO0G4KeeCoMG+ROPiKSfuvo3lZbCUUepf5NIvUaMgO23947dey98/LEv4YB7PvXRR3DIIbD55m4DvdpvOuVl9fMuFZtEREQCqmaxaeFCKC72J5agKiuD887zjnXs6LY9FxGJdthhtfsdq3+TSAPk58Ozz7rtHMOshVNOcWvXUqi0FJ54Avr2hT32gLfeiv34zc2FpUtTGl5aUbFJREQkoHr2dIWPaMlYSpfN7r67dhPQ226Dddf1Jx4RSW933gk77ugda2r/JpGs0qtX7Z3o5s+Hiy5KybdfvBiuvRa6dYPTT4+9BDYnx7Lzzou45ZZP+PTTMtZbLyXhpSUVm0RERAIqJyc1fZuy1bx5cPPN3rH+/eGMM3wJR0QyQEFB7P5N333nT0wiGWPYMBgyxDv2xBNuelGSTJsGJ5wA3bu7v/mxZiq1awcXXwwzZpRx5ZVT6d37d0x2t2xSsUlERCTIVGxKnmHDvJvh5OS4puDRm+aIiNS0ySbu9XG0cP+m1av9iUkkI+TkwFNPwTrreMfPPDOh69UqK+GVV2CXXdxOks8/DxUVdZ+7+eYwejSUlLjZzj16aE1smIpNIiIiAVaz2DR9ul7MJMLbb9d+I/Wcc2CHHfyJR0Qyy+GH1+7fNGeO+z2i/k0icfTo4bpxR/vtNzjrrGY/eFascEtdN9kEjj7abawSy9Ch8M47MHs2nH9+7fqXQAZuyCtSv7y8PHr37r32tmQ25TNYlM/U6tfPzbSpqnLHVVUwdSrsvntirp+N+fz779ovEtdbr/aSukyVjTkNMuUzfd15p5ttOm1aZOy552C33VxPmLoon8GifDbRKafAG2943/UZM8Y9gE48sdGXmz0b7rsPnn7a/Y2PpWVLd/kLL4Stt677HOU0wliVziUGY0whUAxQXFxMYWGhzxGJiEhT7LgjfPll5Pjmm+Gaa/yLJ9ONGAG33OIde+aZJj2/FZEs9/PPsN123g21WraEKVNgm238i0sk7S1Z4io+y5ZFxtq1gxkzoKio3rtXV8O4cW6S1Pvvxz93ww3d7KUzz4QuXZoZd5oqKSmhKPLvVmStLWnuNbWMTkREJOAGDfIeq29T082Z42YjRBs82DUPFRFpLPVvEmmirl3hkUe8Y6tWwamnukpSDH/9BQ8/DL17w377xS807bQTvPii2xDkqquCW2hKFhWbREREAq5m36bPPov7PExisNa9sxndJDQvzzUFz/YdZ0Sk6Y44wu1GF039m0Qa4LDD4KSTvGPjx8MDD9Q6dcECuOIKKCx0j63Zs+u+ZF4eHHuse670+efudn5+EmLPAlpGJzFl8jK6NWvWMG7cOAD23ntvWrVq5XNE0hzKZ7Aon6lXXAzdunnHZs2CrbZq/rWzKZ8vveSedEa77LLaM50yXTblNBson5mhrMzNQo1e8gzw+ONw2mmRY+UzWJTPBPjjD9h2W/dkJ6xlS/j6a2zPLfnsMxg5El5/PdK/si6dOrke4+ee6wpSTZWpOdUyOhEREWm0oqLaT5zi7bAita1aBRdd5B0rLIR//tOfeEQkWAoK4OWXXcuZaOedB999509MIhmhQwd48knPUHlpFc8f8Dz9+1kGDYJXXoldaOrVy63GKy6GW29tXqFJvFRsEhERyQI1l9Kpb1PjXH89LF7sHRs1Ctq29SUcEQmgWP2bjj5a/ZtE4tpzT7jwQpbShZu5hh7M44Sfb2Lal7HXuB9wgGsQPmOGa/zdunUK480SKjaJiIhkARWbmu7bb92WyNH23de1ihARSaS6+jfNnq3+TSLxfPstnP7H3RSZEq7lZhazYZ3ntWnjei/OmQPvvAN77aWei8mkYpOIiEgWqLkj3Zw53t2CpW7V1e5FXvT0+4ICGD1aT1BFJDnuugt22ME79txztVYKiWS1qip46y3YYw/o0weeeCaPMltQ57ndu1Vz991QUuL+fm+xRYqDzVIqNomIiGSBPn2gZo/Kzz/3J5ZM8vTTtWeBXXklbLaZP/GISPAVFLgNCWr2bzr/fJg5U1VuyW6rVrll7D17wiGHwEcfxT53MBN4jcP56fAruPhi195JUkfFJhERkSyQnw/9+3vH1CQ8vuXL4fLLvWObbuq2ThYRSaZNN3U70UVbswZOOKEFa9bk+hOUiI/mzoXhw10D7+HD3XFdWrSwnNzpbb5iOyawG4czhrxRd8PHH6cwWgEVm5LCGNPDGHOBMeY1Y8yPxpi/jTGlxpgSY8wbxphjjTF5jbje1saYfxtj5hpj1hhjlhpjJhljzm7MdUREJLupb1PjXH117aWGo0fXniEmIpIMRx7pZjNFmzMnh3//u4/6N0lWsNbNXDr0UNh8czej6c8/6z53vfXcZh4LFhiemrQp2xV8773QKae4aVGSMsbqN1VCGWNuAq4B6pvjOhU40lq7oJ7rnQncD7SIccoU4ABrbcI7bxhjCoFigOLiYgozaB/IqqoqVq5cCUD79u3JzdU7QJlM+QwW5dM/77wDBx0UOW7Z0j3vys9v+jWDms8pU2Dnnb0NeQ8/HF57zb+YUiWoOc1WymdmKytzbxR89ZV3/L77VnPuua2Uzwynx2fdSkvhxRdh5EjX/Duevn3dTKdjj3VLUNe69164+GLvyaedVnvKYIJlak5LSkooKioKHxZZa0uae00VmxLMGPMYcDrwFzAGGA/8CJQCWwEXAv1Cp/8IbG+trXMzU2PM/sDbuBloS4BbgC+ATsCZwOGhUz8BdrPWVtV1nWb8LBlbbBIRkdp+/x26dPGOTZkC/frVfX62qqpySw6jX9y1aQPffw+R52EiIqkxdy5sv713UkarVvDKK27H95Yt/YtNJJEWL4YHH4R//xuWLo19Xk6O69c0fDjsumuMDTuqq1338AkTvONvvgkHH5zIsAMhGcUmLaNLvN+BK4ANrLUnWmufstZOttZ+aa19DhgAvBw6d3Pg4rouYozJB0bjcrQKGGStHW2tnWKtfd9aewTwYOj0XYATk/gziYhIAHTuDFtu6R3TUrraHn649iyC665ToUlE/BGrf9OBB7qGx7vvDjfeCJMmQXm5LyGKNMu0aXDiidC9O9x8c+xCU7t2brLSTz/B66/D4MFxdobNyYGnnoJ11vGOn3lm/EqWJIxmNvnAGNMZWIRbGvedtXbbOs45GngpdHiVtfb2Os5pDZQAHYFZ1treCY4zY2c2Zer0Ramb8hksyqe/Tj8dnngicnz00W7Xo6YKWj6XLHE73IR+JAB69YLp05u33DCTBC2n2U75DI7zz4cHHoh/TqtWMGiQK0DtvjvsuGP2/O7KRNn8+KyshDfecEvl6tuwZPPN4cIL4eSTa9eO6vXkk275XLTDDnPr4mNWqpouU3OqmU0BYa39HQivPt00xmmHRt1+KsZ1/iYyS6qXMWaLRMQXBOXl5UyaNIlJkyZRrrd4Mp7yGSzKp79qNgmfPJlmNZoNWj4vu8xbaAI3pT+bXqwFLafZTvkMjrvvhu23r457zpo18OGHcM017vd9p06w//5w111u9khVQptuSHNl4+NzxQr3/3HTTeGoo+IXmoYOdf0mZ892xdZGF5rANQavuWxuzBh47rkmXKx+2ZjTWFRs8k+4fVmsX/m7hD7Psdb+Guc60YtQBzU7KhERCbSaxaaFC6G42J9Y0s2ECfDss96xE06AIUP8iUdEJFpBAbz9dhlHHTWHzTZbQU5O/e8UrF4N770Hl1/u+vN17uxed997r5uxWR2/diWSMLNnw7nnQmGh+/+4IMY2WS1bupVu330HH3wABxzgVsQ1mTHwyCO1m1aef76eACWZik0+MMash2sWDvB9HV9vC4TnsM2u53LRX98q5lkiIiK4JWIdO3rH1LcJKirck+Bo7du7d19FRNJFx47wj3/M5l//mkhJSSlvvQUXXeR25GrIiqCVK+Htt13fm+22g3XXdTttjh4NM2Y0b6arSE3WwtixsN9+sNVW8NBD8PffdZ+74YZw662u/vPII7D11gkMpGtXd9Foq1bBqaeq4ppEeX4HkKUuI/Jv/3IdX49ujlTfWsnocmyjWpeGejLFs374xpo1a1izZk2dJ7Vo0WLtWtSqqqp6pwu2atVq7e2KigoqKytjnpuTk0NB1B6W5eXlVMWZ/5uXl0d+jbUOpaWlMc/Pz88nL8+lorq6mrKysrixFxQUkBMqrVdWVlJRURHzXGMMLaO2B6nvZ83NzaVFixZrj8vKyqiO88uv5s8aKz9h6Zyn0tJS4vWPi75WdXV1vT+r8lS3ZOepoY+nuh6TylNEKvI0cGAe774bGZs4sZJDDqn737++x1N0PsvKyhr1s6ZTnu69N49Zs7x/P667rpz27auo69uky+MpLJG/96JzWlpamlZ5gvR7PKX784ia+QxTnmJL5+cR0Tls2bKUoUPdUiOA5cvh889bMGFCLh995IpH9Vm+3K0oGjPGHa+7rmXXXasYPLiaIUOq2WILu7aIpTwl5/deWLzXLJn2ePrrL3jhhVwefDCPOXPiz2/p16+a88+v5NBDq2jRIol52ndfCk44gZzo5XPjx1M+ciRV55xT512a83sP4uc0HfIULd7/76ZSsSnFjDE7AcNDhyXAQ3WcFr0adXU9l/wr6nbbRobT4HmDEydOpEvNqYchu+66K506dQJg5cqVTJo0Ke61DjnkkLW358+fz8yZM2Oe27FjRwYPHrz2+JtvvmHRokUxz990003ZukYZfOLEiTHP33HHHdloo40A98tp3LhxcWPfe++91/4SWbJkCdOmTYt5bsuWLdlnn33WHs+ZM4e5c+fGPH/DDTekX9T+41988QUrVqyIeX7v3r3ZbLPN1h7XF3s652nChAlxfxlvu22kh355eXncnILyFEuy89TYx1M05SkiFXkaOHAjT7Fp3LjVjBs3oc7zG/N4+vzzz9l3333XHmdKnpYubcmNN+5Z43uV0r37WGJ9i3R7PCXr997EiRPTJk9h6fZ4Soc8QcMeT9F/P5Wn2PzOU7SaeYrOYV3Ph3bffVeOOKJTKJYVPPbYT8yY0YXvvuvCwoX1N7xZutTw+ut5vP66O+7YsZRttlnKNtssY9CgCo49tv/a4pPyFNGcx1NYvOe3mfJ4Wrq0Ff/978Z88EF3Vq9uEesS5ORUM2jQIg488Gd69nT/rh99lPw8bXPRRWwyYYJn+VzuVVcxqaCA1XVshtWc33sQP6fp9nuvV69ecb/eFCo2pZAxpivwKu7f3QInh5p819Qy6nZ9XcWiS5StYp4lIiISUrNv0y+/tGPNmlxatcrOzrFPPLENZWWRp0TGwPXXLyVDNpAREanTuutadtllEbvs4l7ALl/eku++67y2+PTrr/W/T71iRUsmTixi4sQiHngArrgistNdp06xiwmSPayFOXM68tZbm/L55xtQXR17JlOHDtXsuedP7LffL3TpErtQkizV7dq53enC0wGB3PJyth81ikm3347VH/6EMvGmXgWZMSYRP/ip1tqnGvj91gE+AnYIDV1hrb0zxrn9gCmhwzustVfGuW4rIFywesdae1BD4gndtyHL6KYC/PDDDxTWUe2F9JxWvWbNmrXV28GDB3umY0bL1um66ZKnsIYsoxs/fjwAQ4cOXZuDWJSnuqXLdN3S0tK17/SE35VUniJSkaeysjzat/fuSvTee2UMGVL736ghy+jC+RwyZAgdOnRY+7VMyNPYsTkcdliBZ+yss2D0aP/z5OcyunBOBw8eTJs2bXzPU7R0ezyl+/OImvkMX1N5ii2dn0esWLGiznyGNSZPJSWGzz5ryUcfuVkl8+fHPDWmHj2q1y65Gzy4itBEijpjz6Y8NfTx1NDXLOn4eCovh5deqmbkSPjqq/jPzXv1gmHD4NhjK8nPT4M8DRsG993n+VrFtddSedVVnrGm/N5raE7T7ffe0qVL6d69e/iwyFpbXzufemlmUwoYY1oCbxIpNP0rVqEp5M+o2/W95dAm6nZ9S+486vsPZKK6DLZq1arWGtS65ObmNui8sPz8/Fo9luKJ/mXSUC1btmxQTDk5OY2KPS8vb+0DuCEa+7NG//JpiMbEnm55ivVLOCz6D7byFJvfeYqmPMWWDnnKy3PNZL/8MjL25ZcFRK2Ai3G/+Hmq+e+c7nkqLYVLL/We16WLa1CaDnkK8/Px1LJly1o/mx5PdcuE33vxnhMpT3VLt79P0T9rfc9x68vT5pu7j5NOcse//MLawtP//gdxVvSsNW9eDvPm5fDMM5Frhmc+7b6768tcV+z1yfQ8NSb2sIa+ZvH78bR0Kfz73/Dgg7B4cfwi0wEHuLrO0KHhBvZ5NKYEkbQ83Xab61w+Z07ke912G/mHHAI77FDnXRr7ew8anlPw//defW/mN0U2z2zaMgGXWWytXVnP98kDXgfCM44es9aeWc991gFWhQ7ftNYeGufc7YCvQod3WWsvb0jgDRGa+VQMUFxcHHNmk4iIZJ6ab+rtvz+ePk7Z4IYb4PrrvWNPPOE2pxERyWbWwo8/RopPH30Ev/3W+Ov06hUpPA0ZUnv3eckc330Ho0bBc89BvEkybdrAKafAhRfCFlukLLzGmzLF9RWInk201VbunbgmFAszXUlJCUVFa/cbS8jMpqwtNqWCMSYHeB44NjT0EnC8tbbeVu/GmAW43eXmWGtjFsaMMccBL4QOT7PWPtm8qD3XVrFJRCSgXnoJjj02ctyxIyxbBkl4YystzZ0LvXt7nzAPHAiTJmXPv4GISENZC99/Hyk8ffwx/P5746+z7baR4tPgwe5vj6Svqir3RtSoUW62Wzzdu8MFF8Dpp0PUivr0dt11cOON3rGLL4a77/YnHh+p2JRhjDGPAmeEDt8GDrfWxl506r3vC8BxocMNrLW/xjjvYeCs0GFPa+0PzQi55rVVbBIRCajiYujWzTs2a5Z7Uy/orHUzud5/PzKWmwtffeVeCImISHzV1TBjRqT4NGEC/PFH465hDGy3XaT4tOuu0K5dUsKVRlq1yvXRHj3avTkTz667wvDhcPDBbpl+RqmogJ13dk8AwoxxlbXddvMtLD+o2JRBjDH3ABeFDscDB1hr43fl8t7/aNxMKICrrLW313FOa6AE6AjMstb2bl7Uta6fscWmiooK5oe6HHbv3r1Ra30l/SifwaJ8po+iIiiJeirx6KNwxhmxz69LJubz9dfhiCO8YxddBPfc40886SYTcyqxKZ/Bkq75rKqC6dMjxadJk+DPP+u9m0durmuXEy4+7bKLW5IVZOmWz59/dgWmxx+Pn78WLdzs6GHDYPvtUxdfUsya5X6I6KnO3bvDt982qfqZbjltqGQUmzRRPAmMMdcTKTR9ChzSmEJTyBjg59Dtq4wxm9Zxzl24QlP4toRUVlYyc+ZMZs6cGXcHA8kMymewKJ/pY+BA7/Gnnzb+GpmWz9Wr3ZPjaBtsULt3UzbLtJxKfMpnsKRrPsOFoksvdcuuli+Hzz93fZj33htat67/GlVVro3OHXfAvvu6pViDBsGIETB+PNSzwVtGSod8WuuWRR56KGy2GYwcGbvQtN56buXZ/Pnw9NMBKDSBayx2223esfnz3btQTZAOOU0XmTbRLe0ZYy4ArgsdLgQuBzaO3tmtDnOstZ49IK21FaFrvQ20AyYbY24GpuAKTGcC4fdlPwGeTdgPISIiWWHgQHj55chxU4pNmeamm7yzuQDuvVdLN0REEikvD3bayX1ceSWUl8PUqZGZT59+6nYEjaey0p336adwyy1uNs2AAZGZTzvtBI3cJE6ilJbCiy+64tK338Y/t29ft1Tu2GMD+m8+bBi8+aZbDxr2xBNwyCFufaA0iYpNiRc9MX8jXCGoPhsD82oOWmv/a4w5G7gf6AqMruO+U4DDrLVVdXxNREQkpkGDvMdz5rgm4UHdLWjmzNpL5YYOhaOP9iceEZFs0aKF+5sTnqlUWgpffBEpPn32mWufE095uasFTJjgZqO2auXeNAkXn/r1gwxZseSrxYvhoYfg4Ydh6dLY5+XkuFrL8OGuL1P8uRMZLicHnnrKNW6MntZ15pmuwrnuur6Flsm0jC7NWWsfBXYAHsUtqysFfscVsc4BBllrl/kXoYiIZKo+fWrv7vv55/7EkmzWwrnnunfKw/Lz4f77A/4EWkQkDbVsCUOGuKJRuLn4Bx/A1Ve71/YNaTS9Zo1bXjdihCtidezolt/dcYdbjpflK5hq+fJLOPFE147opptiF5ratXMbsv30k+txOHhwlvyd7NHDbbsX7bff4Kyz3JMIaTTNbEowa+1uSbjmDOD/En1dERHJbvn50L+/d9b45Mlw4IH+xZQszz8PEyd6xy6/HHr29CceERGJaN3azTQdOtQdr14Nn3wSmfn05ZduB7x4/voLxo51H+CKJrvu6mY97bGHe4MlJ8umWlRWwhtvuKVykyfHP3ezzdxqspNPhnXWSUV0aeiUU9w/2FtvRcbGjIHnnnOVOmkUFZtERESy2MCB3mJTEPs2/fEHXHKJd6x7d/cOuoiIpJ+2bd0spX33dccrV7od7sLFp+nT659ssmqVa1b+7rvuuGNHN5sqvOyud+/gFp9WrIDHHnOzdxcsiH/u0KGuyLT//sH992gwY+CRR9yToWVRi4fOPx92281t4ysNpmKTiIhIFqu5I92UKa5vRpD6Xlx7rZsJH2306IbtjiQiIv5r397Nug3PvF2+3M1WDRefvvuu/musWOEmrbzxhjvu0sXVD8LFpy23zPzlYrNnw333uZ3i/v479nktW7qJOhdeCFtvnbr4MkLXrq7gdPjhkbFVq+DUU2HcOFXkGkHFJgmknJwcOnbsuPa2ZDblM1iUz/QyYID3uLTUvWPcr1/D7p/u+fzyS3jwQe/YwQfDQQf5E08mSPecSuMon8GifDqdOsGhh7oPcP2HPv44UnyaPbv+ayxbBq++6j4A1l/fW3zabLPkF58SkU9rXQ1k5Eh4//345264oZukc+aZwd0MJCEOOwxOOgmeeSYyNn48PPAAXHBB3LvqMRphrJpdSQzGmEKgGKC4uJjCwkKfIxIRkWTYaivvE/ORI92U+kxXXe2KaVOmRMZatYJZs1wfUBERCabFi73Fp59+avw1Cgtd8WmPPVzxKd3+bvz1Fzz7rJvJ9P338c/t39/tKnfkkcGauZxUf/zhdqcrLo6MtWwJX3/tpsEFTElJCUWRZYJF1tqS5l4zu0ttIiIiUmspXVD6Nj32mLfQBG7XonR7wSAiIom1wQZw3HFuNdSPP7q+Rc8841ZCNfRvQEmJ6wt92mmw8cbu47TTXIGnpNkvw5tuwQK44grXPuicc2IXmnJz4dhj4bPP4Isv3L+HCk2N0KEDPPmkd6y01M140laHDaKZTRKTZjaJiGSHxx+HM86IHG+0kXsjL5N7Vyxd6naaW7EiMtazJ3zzDRQU+BeXiIj475dfIrOePvoIFi5s/DU22yyy5G733d0yvGSx1hWNRo2C116DqqrY53bqBGedBeee62ZnSTMNG+amj0W78UbXEDJAkjGzScUmiSmTi03l5eV88803APTp04cWLVr4HJE0h/IZLMpn+vn+e+jVyzs2fz5061b/fdM1n6edVvsNyQ8/hD339CeeTJKuOZWmUT6DRflMPGvdMrvo4tOSJY2/zpZbRgpPu+0G665b/33qy2d5ObzyiisyTZ0a/1q9erm6yAknaAOMhPr7b9h+e5gzJzKWlweffw477FDr9Ex9jGoZnUgDVVVVsWjRIhYtWkRVvNK/ZATlM1iUz/TTs6fbEjpaQ5fSpWM+J0+uXWg69lgVmhoqHXMqTad8BovymXjGwOabw//9H7z4ouv3NGuW6wV95JENb6Q9ezY89BAcfTSstx5ss43b7W3MGLd7Xl1i5XPpUrjlFrfk74QT4hea9t/fNQifMcP9DCo0JVjr1m4NZm5uZKyy0m3nt2ZNrdP1GI1QsUlERCTL5eQEp29TZaVbOhBtnXXg7rv9iUdERDKLMW7jjHPPdbOKliyBb791s4sOPbT2mzOxzJgBo0fD4Ye7gtX228Mll8A778DKlXXf57vv3LL2oiLXY3Dx4rrPa9MGzjvPFbjefRf22iuzl76nvf794ZprvGPff++SJDHl+R2AiIiI+G/gQPeENSxTi0333+9eFES78Ua33bOIiEhj5eS4WUrhmUpVVa7/X3jJ3cSJ8Oef8a9hrdvE7Ouv4Z573DV32AF23TWPtm3Xo7Iyh5EjW/Dxx/Gv0707XHABnH66618tKTRihKsUfvVVZOzee+Ggg9y6SalFxSYRERGpNbNp+nRYvRratvUlnCZZuLB2v85tt4Xzz/cnHhERCZ7cXDdLKTxTqbLS1R/CxadPPoG//op/jepqtzRu6tR8YEC933PXXWH4cDj4YNcuSHyQn++2Itx+eygrc2PWwimnuHe52rXzNbx0pGV0IiIiQr9+3nYEVVX1NyNNN5dc4gpk0R56SE/MRUQkefLy3CqrK66A9993u6BOngw33+x6BbZs2bTr5ufDSSfBl1+62VOHH66/Z77r1Qtuu807Nn8+XHSRP/GkORWbREREhDZtoG9f71gmLaX78EN46SXv2Gmn1Z6xJSIikkz5+e5vzzXXuL9Nf/wBEybA9dfDkCFQ3+Zk660H110HCxbA00+7iTSSRoYNc4mM9sQT8NZb/sSTxlRsEhEREQAGDfIeZ0qxqazMNUqN1qkT3HGHP/GIiIiEFRTA4MGugPTxx6749OGHrhi1885V5OZWA7DtttU89ZQrMl1/Pay/vo9BS2w5OfDUU273kWhnnum2EZS1NBFPAikvL49NN9107W3JbMpnsCif6WvgQLjvvsjxZ5+5vhI5cd6aSod83n03/PCDd+y22xq+XbV4pUNOJXGUz2BRPjNfq1Zued2ee8J111XzzTc/YAxsu+0W5OdrLkhG6NHDbU942mmRsd9+g7POIu8//9FjNMRYa/2OQdKUMaYQKAYoLi6msLDQ54hERCSZiouhWzfv2KxZbgvodPXLL66FQmlpZKx/f1coi1ckExEREWkya+HQQ2svn3vmGTjxRF9Cao6SkhKKiorCh0XW2pLmXlNPw0RERASAoiKo+b7C5Mn+xNJQw4Z5C005Oa4puApNIiIikjTGwCOP1J5Gff757t07UbFJREREImo21E7nvk1vvQVvv+0dO/dcNVMVERGRFOja1RWcoq1aBaee6voQZDkVmySQSktLGTt2LGPHjqU0+i1vyUjKZ7Aon+mtscUmv/L5999w4YXesa5d4aabUhZCYOkxGizKZ7Aon8GifAbAYYfBSSd5x8aP5/vzz8/6nKrYJIFkraW0tJTS0lLUlyzzKZ/Bonymt5o70s2ZA8uWxT7fr3zecgvMn+8d+9e/oEOHlIUQWHqMBovyGSzKZ7AonwExapTrRRBli8cfh9mzfQooPajYJCIiImv16eN2yon2+ef+xBLLnDlw113esSFD4B//8CceERERyWIdOsCTT3qGcsvLaXHGGVBZ6U9MaUDFJhEREVkrP9/t5hYtnZqEWwvnnQcVFZGxvDx48EHXq1NEREQk5fbcs9b6frNgAfz4o08B+U/FJhEREfFI5ybhL78M48d7xy6+GHr18iceEREREQBuu43qLbYAYPFOO1E6dSpstZXPQfknz+8AREREJL3ULDZNmeJmEuXn+xNP2KpVcNFF3rGiIrj2Wn/iEREREVmrdWvKH3uMWa++SvHuu7P3euv5HZGvNLNJREREPAYM8B6XlsL06b6E4nHddbB4sXds5Eho29aXcEREREQ87I47UrzHHlrbj4pNIiIiUkPnzrDllt4xv5fSffMNjB7tHdtvP7fjsIiIiIikFy2jk0DKz89nxx13XHtbMpvyGSzKZ2YYONC7Y++nn8KwYbXPS0U+q6vh3HOhqioyVlDgik964zDx9BgNFuUzWJTPYFE+g0c5jTDWWr9jkDRljCkEigGKi4spLCz0OSIREUmVxx+HM86IHG+0ERQX+1PcefJJOO0079j117tldSIiIiLSPCUlJRQVFYUPi6y1Jc29ppbRiYiISC01m4QvXOiKTan2++9w2WXesU03hSuuSH0sIiIiItIwWkYngVRdXU1ZWRkABQUF5OSorprJlM9gUT4zQ8+e0LEjrFgRGfv0U+jWzXtesvN59dWu4BTt/vuhZcuEfhuJosdosCifwaJ8BovyGTzKaUT2/uQSaGVlZYwbN45x48atfbBL5lI+g0X5zAw5ObVnN9XVJDyZ+fziC3j0Ue/YEUfAvvsm9NtIDXqMBovyGSzKZ7Aon8GjnEao2CQiIiJ1akixKVmqquCccyC6tWSbNnDvvamLQURERESaRsUmERERqVPNYtP06bB6dWq+90MPwddfe8euuw4ivStFREREJF2p2CQiIiJ16tcPcnMjx1VVMHVq8r/vr7/CiBHesV69YPjw5H9vEREREWk+FZtERESkTm3aQN++3rFULKW77DJYudI79tBDkJ+f/O8tIiIiIs2nYpOIiIjENGiQ9zjZxaYJE+C557xjJ54Igwcn9/uKiIiISOKo2CQiIiIx1ezb9NlnUF2dnO9VXg7nnusda98e7rorOd9PRERERJJDxSYRERGJqWaxacUKmDMnOd9r5EiYNcs7dsst0LVrcr6fiIiIiCSHsdF7CotEMcYUAsUAxcXFFBYW+hxRw1VXV1NWVgZAQUEBOTmqq2Yy5TNYlM/MU1QEJSWR40cfhTPOcLcTlc/iYthyS/j778jY9tvDlCneJuWSfHqMBovyGSzKZ7Aon8GTqTktKSmhKLLlb5G1tiTe+Q2RGT+5SCPl5OTQqlUrWrVqlTEPcIlN+QwW5TPz1JzdFN23KVH5HD7cW2gyxjUFV6Ep9fQYDRblM1iUz2BRPoNHOY3I7p9eRERE6hWv2JQI770Hr7/uHfu//4P+/RP7fUREREQkNfL8DkAkGSorK1myZAkAXbt2JS9P/9UzmfIZLMpn5qm5I92cObBsGXTp0vx8rlkD55/vHevSBW69tTkRS3PoMRosymewKJ/BonwGj3IaoZlNEkgVFRVMmzaNadOmUVFR4Xc40kzKZ7Aon5mnTx9o1co79vnn7nNz83nHHfDzz96xu+6CTp2aGKw0mx6jwaJ8BovyGSzKZ/AopxEqNomIiEhc+fm1l7RNntz86/70E9x+u3ds0CA46aTmX1tERERE/KNik4iIiNQr0X2brHXL50IbtgCuGfiDD0KW99MUERERyXh6OiciIiL1qllsmjIFmjM7/PXXYexY79iFF8K22zb9miIiIiKSHlRsEhERkXoNGOA9Li2F6dObdq3Vq2H4cO/YhhvC9dc37XoiIiIikl5UbBIREZF6de4MW27pHWvqUrobb4SSEu/YvfdCu3ZNu56IiIiIpBcVm0RERKRBEtG3aeZMV1iKNnQoHHVU0+MSERERkfSS53cAIslgjKFly5Zrb0tmUz6DRfnMXAMHwhNPRI7djnQNz6e1cO65UFkZGWvRAh54APRfIX3oMRosymewKJ/BonwGj3IaYay1fscgacoYUwgUAxQXF1NYWOhzRCIi4qfvv4devbxj8+dDt24Nu/+zz8JJJ3nHRoyAm25KTHwiIiIi0nglJSUUFRWFD4ustSXxzm8ILaMTERGRBunZEzp29I41dCndH3/ApZd6x3r0gKuuSkRkIiIiIpJOVGwSERGRBsnJaXrfphEj4LffvGOjR0Pr1omJTURERETSh3o2SSBVVFQwZ84cAHr27El+fr7PEUlzKJ/BonxmtoED4d13I8eTJ1czY8YsIHY+v/wSHnzQO3bwwXDggcmMVJpKj9FgUT6DRfkMFuUzeJTTCM1skkCqrKxk7ty5zJ07l8roTrSSkZTPYFE+M1vNmU3ffGOYMWNezHxWVcE557jm4GGtWsGoUUkOVJpMj9FgUT6DRfkMFuUzeJTTCBWbREREpMH69YPc3MhxVZXhp586xjz/scdg6lTv2LXXun5NIiIiIhJMKjaJiIhIg7VpA337esdmz+5U57lLl9ZuAN6zJ1xySXJiExEREZH0oGKTiIiINMqgQd7j2bPrntl0xRWwYoV37IEHoEWLJAUmIiIiImlBxSYRERFplJp9m+bM6UR1tXds8mR48knv2HHHwZ57Jjc2EREREfGfik0iIiLSKDWLTatXt2DhwrZrjysrXVPwaOusA3ffnYLgRERERMR3KjaJiIhIoxQVQWGhdyy6b9Po0fDdd96v33QTbLBBCoITEREREd/l+R2ASDLk5uay4YYbrr0tmU35DBblMxgGDoSXX44cL1hQSG5uLgsXwj//6T23Tx8477zUxidNp8dosCifwaJ8BovyGTzKaYSx1vodg6QpY0whUAxQXFxMYc23sUVEJGuNGgXDh0eOe/aE2bPh2GPhpZe8506eXHvpnYiIiIikh5KSEoqKisKHRdbakuZeU8voREREpNFq7kg3Zw785z+1C02nn65Ck4iIiEi2UbFJREREGq1PH2jVyjt26qne406d4PbbUxeTiIiIiKQH9WySQCorK+OLL74AYKeddqKgoMDniKQ5lM9gUT6DIT8f+veHCRMiY6Wl3nNuvx26dEltXNJ8eowGi/IZLMpnsCifwaOcRqjYJIFUXV3NihUr1t6WzKZ8BovyGRwDB3qLTdF22sktoZPMo8dosCifwaJ8BovyGTzKaYSW0YmIiEiTxOrFlJMDDz3kPouIiIhI9tHTQBEREWmSAQPqHj/vPNhuu9TGIiIiIiLpQ8UmERERyBHhzgAAIZBJREFUaZLOnaFnT+8U8a5d4aabfApIRERERNKCik0iIiLSZIceWuU5vuceaN/ep2BEREREJC2oQbiIiIg02SWXVDJz5gLmzu3A2Wevw/HHt/A7JBERERHxmYpNIiIi0mRt28IZZ8wAYO+99/Y5GhERERFJByo2SSDl5eXRu3fvtbclsymfwaJ8BovyGTzKabAon8GifAaL8hk8ymmEsdb6HYOkKWNMIVAMUFxcTGFhoc8RiYiIiIiIiEgilZSUUFRUFD4sstaWNPeaahAuIiIiIiIiIiIJo2KTiIiIiIiIiIgkTHYvIpTAWrNmDePGjQNcw9pWrVr5HJE0h/IZLMpnsCifwaOcBovyGSzKZ7Aon8GjnEZoZpOIiIiIiIiIiCSMik0iIiIiIiIiIpIwKjaJiIiIiIiIiEjCqNgkIiIiIiIiIiIJo2KTiIiIiIiIiIgkjIpNIiIiIiIiIiKSMCo2iYiIiIiIiIhIwhhrrd8xSJoyxhQCxQDFxcUUFhb6HFHDVVVVsXLlSgDat29Pbm6uzxFJcyifwaJ8BovyGTzKabAon8GifAaL8hk8mZrTkpISioqKwodF1tqS5l5TxSaJKZOLTSIiIiIiIiJSv2QUm7SMTkREREREREREEibP7wBEkiFTpy9K3ZTPYFE+g0X5DB7lNFiUz2BRPoNF+Qwe5TRCM5skkMrLy5k0aRKTJk2ivLzc73CkmZTPYFE+g0X5DB7lNFiUz2BRPoNF+Qwe5TRCxSYREREREREREUkYFZtERERERERERCRhVGwSEREREREREZGEUbFJREREREREREQSRsUmERERERERERFJmDy/A5C0tnafxsWLF/sZR6OtWbOGZcuWAVBSUkKrVq18jkiaQ/kMFuUzWJTP4FFOg0X5DBblM1iUz+DJ1JzWeL2fG+u8xjDW2kRcRwLIGLMjMNXvOEREREREREQkJfpZa6c19yJaRiciIiIiIiIiIgmjmU0SkzGmANgmdLgUqPIxnMZan8isrH7Arz7GIs2nfAaL8hksymfwKKfBonwGi/IZLMpn8GRqTnOBdUO3v7PWljX3gurZJDGF/oM1e/qcH4wx0Ye/WmtL/IpFmk/5DBblM1iUz+BRToNF+QwW5TNYlM/gyfCczk/kxbSMTkREREREREREEkbFJhERERERERERSRgVm0REREREREREJGFUbBIRERERERERkYRRsUlERERERERERBJGxSYREREREREREUkYFZtERERERERERCRhjLXW7xhERERERERERCQgNLNJREREREREREQSRsUmERERERERERFJGBWbREREREREREQkYVRsEhERERERERGRhFGxSUREREREREREEkbFJhERERERERERSRgVm0REREREREREJGFUbBIRERERERERkYRRsUlERERERERERBJGxSYREREREREREUkYFZskEIwx6xljDjTG3GiMec8Ys8wYY0MfT/kdnzSOMWZHY8w/jTHjjDElxpgyY8xqY8wPxpgnjTG7+B2jNIwxpp0x5lhjzN3GmAnGmJ+MMSuNMeXGmN+MMR8bYy43xnT2O1ZpPmPMHVG/e60xZje/Y5L61chZvI+P/Y5VGs8Y080Yc4MxZpoxZqkxptQYU2yMmRR63rS13zFK3UJ/Ixv6+NTv3QxijGlhjDnDGDPWGLM46rnunNBz3YF+xygNZ4xpaYw51xgzPvR7ttwYs8gY819jzLF+x+cXY631OwaRZjPGxPuP/LS19pRUxSLNY4yZCOzagFOfAc601pYnOSRpBmPMUOCDBpy6DDjBWjs2ySFJkhhj+gJTgbyo4d2ttR/7EpA0WD1/Q6NNsNbulsxYJLGMMRcAtwFt4pw2ylo7PDURSWOECrxDGnGXaqCbtXZhciKSRDDGdAfeBXrXc+poYJjVC/a0ZozpCbwJ9Ixz2jjgCGvt6tRElR7y6j9FJOMsAGYDe/sdiDTJhqHPi4BXgEm4nOYCA4BLgI2Ak4B84HgfYpTGKQY+Ar4M3V6Mm1lbCBwJHA50Ad4yxvS31n7jV6DSNMaYHOAR3POK34D1/I1Imugh4ME4X/8rVYFI8xljRgA3hQ5/AB7FFYRXAp2B7YDDcAUKSU+nEr9QCNALeCl0e7wKTenNGJOPt9D0LXAPMAdYB9gF91y3DXAB7vnw7amPVBrCGLMe7k3VotDQK8DTuLxtCJwMHIV7Xfof4EAfwvSNZjZJIBhjbsA9gZpqrV1ijOkB/BL6smY2ZRBjzDu4WUuvWWur6vh6F2AysEVoaIi1dmIKQ5RGMMbk1pXHGuccCowJHY6x1h6e9MAkoYwxw4F7cYX+McBVoS9pZlMGiJrZdIO19no/Y5HEMMbsCXwYOnwGOMNaWxHj3BaaJZy5jDF3AJeHDk+01j7nZzwSnzHmSFxBAuAzYNeaz5OMMTuEvpYP/AGsa62tTGWc0jDGmPuB80KHdf4NDb1O/Wfo8Chr7aspCs936tkkgWCtvc5a+461donfsUjzWGsPtNa+HKtAYa1dhnvHJ+zI1EQmTVFfoSl0zhu4d/SgYUsoJY0YY7oRmT1xNqAXrSI+Cs00fCh0+A1weqxCE4AKTZkrlOt/hA5XA6/7GI40THQvptvqep5krf0SeCd02AHYKgVxSSMZY3KBE0KH84k8F6rpRtwqDYArkx1XOlGxSUQy0UdRtzf1LQpJpD9Dn1v6GoU0xQNAW9ws0gl+ByMi7A1sHrp9h2ZEBNqeuNYCAK9aa//2MxhpkBZRt3+Oc97cGPeR9LE50D50+4M4b5RXEelfuoMxZuNUBJcOVGwSkUxUEHW73pkzkt5CjRX7hg5n+xiKNJIx5mhc/4HlwKU+hyMizlGhz5bI7AiMMZ2MMZsbYzr5E5YkwUlRt5/xLQppjDlRtzeJc174zVQL/Ji8cKQZondSrm91TfTXs2YWv4pNIpKJondm+d63KKTJjDGtQy96LgYmENmwYqR/UUljGGM6AKNCh1eElrhKZjvKGDPLGPO3MeZPY8yPxpinjTG7+x2YNMrOoc/zrLV/GmOON8Z8B/yOaxT+e2h79UuNMQWxLyPpzBjTFtfgHdwSno/9i0Ya4UVgVej2FaGlWB7GmO2AA0KHL1hrV9U8R9JC9M5y7WOeVfvrvZIQS1rSbnQiklFC/Qmi1zu/7Fcs0jjGmFOAJ+OccjvwQmqikQS4E1gf17D/cZ9jkcSo+QR4s9DHScaYN4BTrLUrUx6VNFjob+SWocNlxphRwIV1nLoFcBdwmDHmAGvtHykKURLnCCI71T1ntetTRrDWLjPGnIgrOg0CphpjRuIKwW1DY5fgls59hbdPqaSXn4AKXCP3wfWcG/31bkmLKM1oZpOIZJqLgP6h26+HmihKZpsO9LfWXqUny5nBGLMrcAZQCZytvGW8v3FbMp+Jm96/Ha7vzy242TAAhwJvhrbtlvTVnsjz+21whabFuCa2nYDWuNnBn4fOGQg8keIYJTG0hC5DWWvfAnYAHsO1EXgat/vcB8D1uN/Jw3E71WnzozRlrf0L+F/ocFtjzHF1nRca3yZqaJ1kx5YuNLNJRDKGMWYIbvYLwG/AOT6GI433BjAtdLsVrh/B0bhlAC8aY4Zba9+JcV9JE8aYFsAjgAHutdbO8Dkkab6NYsxs+cAYMxp4D1eAGoL7vXtfCmOTxmkTdbsl7kXr7tba6D4xE40xe+Be3PbBzW7ayVr7RQrjlGYwxhQCu4UOP7fW/uBjONJIob+jJwGH4P6W1tQVVyD+BXgrhaFJ412Pa9SfBzxtjNkUV/xdDGyAy/M/cTv1hhu9t0p9mP7QzCYRyQjGmN7AGNwv81LgKGvtb/5GJY1hrf3DWjsj9DHVWvsfa+3huD/Em+BmTZzib5TSAFfjluksAG7wORZJgHhLqELvqh+JWyoAcEEqYpImK61x/FiNQhMA1to1wDVRQ8ckNSpJtBOIvI572s9ApHGMMW2AD4GrcLMN7wS2wm1+0x43q/QTYEfgjVBvS0lT1trPgbNwM73zgZtwPdTKQ59vCn0tOo9/kiVUbBKRtBfaInQc0BG3+9yx1tqJ/kYliWKtfRZ4Bfc36X7tlJS+jDFb4p4gA1wQmkIuAWet/ZnIts2bGWM29DMeiavmi5hxcc4dj3sRBNAvOeFIkpwY+lwGvORnINJo1xPZjex0a+0V1trZ1tpya+0qa+0HwO7AR7hZT3cZY/r4FKs0gLX2CWAn3Jvi0c+LKnEz07YnMrMfYEXqovOXltGJSFoLvaj5ENgQt/3radbaN/2NSpLgTdySujbAvqhReLq6CDcN/GegtTHm2DrO2Trq9h7GmPVDt99WcSqjzQL2D93eCFjkYywSg7W2zBizFFg3NFQc59xSY8wyXKP/dWOdJ+nFGLMjkWb+71hrs+aFa6YzxhjgtNDhD9baOmelWWsrjTHX4mY45QCn4P7+Spqy1n4FHG6MycMtn2sBLLTWlgIYY06IOn2mDyH6QsUmEUlbxpguuHfTNwkNXWCtVRPMYFoadbu7b1FIfcLbpG+C20mnPtdG3d4Y7zt+klnUBD5zzCTSz6fWtuo1hL9eGfcsSSfRjcG1hC6zdMUtnQP4up5zozfA2TLmWZJWrLWV1F3k3yHq9pQUheM7LaMTkbRkjGkPjCXy7t2V1toHfAxJkmujqNurfYtCRGLpFXVbs5rSW/Qy801inWSMaQd0CR0uTGpEkhCh3SDDM0qX4pr3S+aILurWN+kjeudPFYMzmDEmFzg8dFgMfOpjOCmlYpOIpB1jTGvgXdwaZ4BbrLV3+BiSJN9RUbe/8y0Kictae4q11sT7wNs0fPeor83zKWxpplDfvL1Ch3OttSpMpLfXom4fFue8w4jshDUpeeFIAu1HZMnjC6FZFJI5lgOrQrcHhJZcxTIk6vYvyQtJUuB0oFvo9r+ttVV+BpNKKjaJSFoJbQc7BhgUGhplrR3hY0jSDMaYU4wxLes55yIivWB+QS96RFLGGHNQvBc8xpiuuOJFeMvmB1MSmDSZtfZbIjNejjPG7FnznFAvtZtDh+XAkykKT5onegmd2gpkGGttNe7NVHC9SK+p6zxjTEcg+k3Wd5IcmjSDMWajOF/bAxgZOvwBuDsVMaULY62W4EvmM8bsAmwWNdQFuCt0ezLwWPT51tqnUhOZNJYx5jUiU03/Bwwnfq+QcmvtD8mOS5rGGDMPWAf3YvUTYC5umdw6wDbAP4gUFsuBA6y1H6Y+UkkUY8z1wHWhw92ttR/7F43UJ/QYzcc9Rj8D5gFrcH9Hd8Nt6RxeavUJMNRaW5bqOKVxjDFbAF8AHYBS3Iud/+Jy2x+3q2Rh6PQrrLV3pj5KaYxQAWIxrnfeDGvtNj6HJE0Q2tX1S6B1aOhtXO+tn4GWwM64577hmTDjrbVDUxymNIIxZgUwAVdInInbJbIbbvboP3ATfJYDe1hrv/ErTj+o2CSBYIx5Cji5oeeHlnpIGjLGNPaX0nxrbY9kxCLNF3oh25CG3yW4nQY/qPdMSWsqNmWWRjxGXwPOsNb+kdSAJGFCb8S9imtKXBeLW6Z+bYyvSxoxxpwNPBQ6vNxae1e88yV9GWOG4jbZ6FLPqf8DjtSOg+nNGLMat5tyLDOBf2RboQm0G52IiCTXPsABuNlLm+Fe9HTGvbv+GzAdNz38ZWvt3z7FKJLNTsb1BhmAaybdBWiHm4EYbmT6tLX2M98ilCax1n5ijOkNXAAcitsRsgVudszHwGhrbX07Ykn6ODH0uQp43s9ApHmstR+GZjidjuvD1Rs3C7ES+BWYCrwAvGU1MyQTnAHsjZs1ugHQFtfA/1vgFeA5a22Ff+H5RzObREREREREREQkYdQgXEREREREREREEkbFJhERERERERERSRgVm0REREREREREJGFUbBIRERERERERkYRRsUlERERERERERBJGxSYREREREREREUkYFZtERERERERERCRhVGwSEREREREREZGEUbFJREREREREREQSRsUmERERERERERFJGBWbREREREREREQkYVRsEhERERERERGRhFGxSUREREREREREEkbFJhERERERERERSRgVm0REREREREREJGFUbBIRERERERERkYRRsUlERERERERERBJGxSYREREJHGPMx8YYa4z52O9YpG5BzZExpqcxptwYU2qM2agZ1+kX+vdZbozplMgYRUREkk3FJhEREUkbxpj2xpjzjDH/NcbMM8b8bYxZaYz5wRjzvDHmGGNMrt9xisRxD5APPG6tXdjUi1hrpwJjgY7A9YkJTUREJDVUbBIREZG0YIw5E5gL3A/sB3QHWgHtgM2B44H/AN8aY3bxK06JzRjzVGg2zjy/Y/GDMWYgsD9QDtwe45x5oX+jpxpwyRtDn88yxhQlJkoREZHkU7FJREREfGeM+RfwCNAZqASeA44GdgJ2Bc4A/hc6vRfwoTHmSB9ClQSx1u5mrTXW2t38jiWBRoQ+v2KtLW7uxay1nwKfAy2Ay5p7PRERkVRRsUlERER8ZYw5F7gkdFgC9LPWnmitfcVaO8Va+4m19nFr7Z7AP3CzRgqA54wxff2JWsTLGNMT2Dd0+FwCL/1C6PMpxph2CbyuiIhI0qjYJCIiIr4xxnQH7g4d/gXsaa2dHut8a+0LwGmhwwLgWWOMSWqQIg1zKmCA34APE3jdl4AqYB3gqAReV0REJGlUbBIRERE/DQdahm7faK39ob47WGufB94PHW4NHFjffUI7hD1ijPkltEvYYmPMy8aYneu5X64x5hRjzFhjzK+hXcZWGmN+NMaMN8ZcbYzpVc81DjXGvGKMWRD63n8YY6YZY64zxnSMcz9P/yNjzAbGmDuMMTONMX+GvrabMeaJ0O01xph1GvBvMSd0/pQa4znGmD2MMf8yxkw2xiwzxlSE4p0eGu8W45rXG2MscHJoqHvoe3g+atynQbvRGWN2McY8G+p1FP73+9oYc7MxZt0499st6nvvFho7OpS3paF/rznGmDsTtNvb0aHPb1prK+uI5+PQv0H30NDJdfwbfVzzftba34BJocPjEhCniIhI0uX5HYCIiIhkp9CMpJNCh2uAfzfi7iOJLFk6FXg7zvfZD3gFaBM1vD5ulsgRxphLrLUj67hfW+C/uJ5R0fJxTcs3A/YAtgdq9Y8KFZJeDZ0TrQDYIfRxrjHmEGvt57HiD11rZ9zP2KWOLz+P+zdoCRwOPB3nOjsCW0TdL9o/gevquFt7oE/o4xxjzAnW2jHx4k0EY0wOcB9wXo0vFQB9Qx/nG2OOstZ+UM/lcowxzwIn1BjfAtcL6TBjzK7W2l+bGGt3YOPQYdxcNtHnwG7ArsaYNtbav5LwPURERBJGxSYRERHxS28gPKNkkrV2ZSPu+yGuQNUKiLcz3Ya4njeVwNXAx6Hx3YErcEWje40x86y1b9S47/VECk3v4IozC4BSYD1gO9ysKlvjfhhjCkIxbo9bAvUCrnD1C65YNRi4OHSd/xpjtrPWzo/xM7QFXsMVk24BPgD+BrYBFgM/AotCP+s/iFNswu3oRyim/9T4Wl7oemOAz4CfQz9rETAQODcUywvGmO2ttd9H3fdBXGHtZuCQUDz7xImjIW4nUmj6BbgD+ApXNDwYOB9XCHvHGNPfWvtNnGvdFPoZ3gCeAeYDXUPXPwBXOLyXps8cii5ITo1xzqmh2MficvUmkYbiYbGKSOFZaC2AASR2mZ6IiEjCqdgkIiIifukTdfurxtzRWltljPkG2BlY1xizobV2UR2nbg6sBAbUKI58Zox5E/gUV3C63xjzrrW2Iuqc8LKoV621dfXKeR+4LcYSrH/iCk1/AEOttV/W+PonxpjncUWdDYBbcYWiunQGVgO71CiorC1qGGP+gyte7WGM6WqtXVLzIqGZQseEDsfXcc5jwA01/g3A5eZNY8xo3AybjXCFuxPDJ4SWev1mjPkjNFRhrZ0R4+eplzFmGyJN42cAu1pr/4g65WNjzDjgXVwB5hHczoWxDARGWGtvqfF93sflcW/gSGPMhdbapU0IeWDoczkwq64TrLW/hL5n+N/3j0b8G0X//9kBFZtERCTNqWeTiIiI+CV6SVhTli9FF0s6xznvphqFJgCstTNxM4XAFVAOqXHK+qHPk4jDWrs8+ji0/C48I+faOgpN4fvNx824ATjKGNOmrvNC7qxn5k54SVwucGyMc3bHzaiJPj86nnl1FJqiv14C3BU6PDi0DDJZziHyPPWMGoWmcDzvA0+EDvsbY/rFud6XuIJezWtY4J7QYR5u1lBTFIY+/26trWriNeL5Ler2Jkm4voiISEKp2CQiIiJ+iW5mvboJ94++T6wt4S3xl5U9SWQZ3NAaX1sc+nyMMaZ1I+IaglveBW5pWTwTQ5/zcTNWYqlVHIpmrf0KmB06PD7GaeHxNbilcnEZY9oZYzY2xvQ2xmxtjNkat3wP3L/3xnHu3lzhXMy01n4R57xH67hPXV4IFZbqEl0MbGohJ9yofEUT7x+XtbYUlzeIFEFFRETSlopNIiIi4pc/o263bcL9o++zKsY5v1hrl8W6QGjJ1LzQ4TY1vhwuUg0EfjHG3G+MOSzeDmghO0bdXlzXrmxRu7NFL6OKVURYba39uZ7vCZGCVH9jzGbRXwj1kDo8dPiWtfZP6mCM6W6MGR3aAW8lrm/TDOC70McjUafX1ay82UKxbh46jFdoAvgaCM/G2jrOebPjfC16Zlq9u/nFEF5KmZRiU41rx5sBJyIikhZUbBIRERG/RBeBmjJbo2vU7d9jnPNbjPFo4eV4NXsv3YRbpmVxjbzPA17H9SaaYYy5wRjTldrWa8D3rEus2VN/NPD+L0Tdrtn/6QCgQ+h2nbOkQrv2zcI13u7egO/XqoFxNVbHqNtx8xda9hfOfV29s8L+jvUFa2111GFuvdHVrTT0OVn/JtHXjrnUUUREJF2oQbiIiIj45duo29s15o7GmFxg29Dh0hjNwaGOneIaKlTION0Yczdul7I9cLOWWuB20usNXGyMOcFa+2bUXaMLFtvT8OJASYzxBvUAstb+bIz5DNd36Hjghqgvh5fQ/Y5riO1hjOmCK1a1xi1P/Bdu17S5wEprbXnovD2A8eG7NSSuZmpy/lIs3FQ8XsGryULN3cNLM/9IxvcQERFJJBWbRERExC8zcEuYOgGDjTHtrbUrG3jfoURmAsVr4F3XzKNY5yyv64vW2lnAtcC1xpiWwC644s1JuKV8LxpjNrXWhns8Rc+yWhpqrJ0qz+OKTVsYY3a01k4zxrTDzWwCeCVGE/Ajicx8OsxaG2u3s6QUU2qIXooWN3/GmDwizeHrzF+KhItNHeOe1XTtiaxIWJCk7yEiIpIwWkYnIiIivgg1bH4mdNgKOLMRd78g6vZTcc7b2BgTc6e6UP+lHqHDereht9aWWms/tNaeBlwWGm4FHBh12tdRtwfVd80EexmoDN0Oz2Y6AmgZuh2r0Xjv0OflcQpN4O1HVZdmz0Sy1pYBP4YOd6rn9O1wzdWhAflLou9Cn9sbY+pbRtmUf6Mtom7PbML9RUREUkrFJhEREfHTKKAsdPu6mo2t62KMOZbITJ0ZwDvxTsfNQIrlFCLLweIVWeoyPup2dLPsD4n0CLrQGJOK5WbA2obn40KHx4aWX4WLTvOByTHuGp7t3jJ0n1pCO/KdWE8I4d5FBQ2LOKZwLnobY/rHOe+MOu7jh+jZdf3qObcp/0bR16yvabqIiIjvVGwSERER31hr5xGZIdQWGG+M6RPrfGPM0UR2iSsHToyzpX3YtcaYnnVcayvgmtDhYuDNqK91MsYcVE+haO+o27+Eb1hr/wDuDx0OBO6NVcAJfa+uxpgzYn29CcKzlzbAFZp2Dx2/EOffKjyTqDVwdB0x5gKPARvW873DSwnXM8Y0dWc3/r+9+wmxsgrjOP59BmqRGC2KiKAMKYyIhDBaVE5FQX9sUVBJQYQLozJXiasyKEGi1RBJFuMiyBb9p7RaOLWQcKyUqJgwcCwLWghmUVrN0+K8wx2u9965zpzRBr6fzTB3znve8973Lobffc7zAi8Bk427X262Arav6VZgVfPr7swcncX5Zms3rdC0VzgGrfdo8UnMPznnwcwcO5mFSZJ0OtizSZIknVaZORQRi4G1wEXAnoh4HXiPUo1zBrCEEpzc3Bx2DHgwM/dOM/1+4Dzg84jYBIw0rw8C62k1XV4z2QS7cXZz/gMR8RalmmScskXtAmAFraqaQ5xYXfUUsJyyDWwtMBgRW4C9wB+U3j5XUHpP3UbZhvXKNNfSr3ebcywAhmg1LO+2hQ7K9ruNlGqb4YhYCnwCHGnWuQa4mlIZ1Wtr4K7m5wCwOSKGmPLUwczc388FZObXTWP2J4GrgC+b+/dVc10rgCeaazsOrO5n3rmSmcci4iPgLspn9Okew3dRAsBlEbEe2E65XwB/ZuahqYObwHMyMHy76sIlSZojMf2XgZIkSXMvIh4BnmP6JtTfAaszs2tj8IgYoYQ9nwLPU8KUszoMnQDWZeYLbccvYkq1Ug+/ACsy84sOa1hI6Sd1dx/z7MzMm9qO3wo8BIxn5qI+5ph67GvAA1Ne2peZS6c55mFK4NWtCusNYAut7Wo3ZuZI2xwDlEDq2k4TZGZMGTtCc48yc7DDegYoYdmjPZZ9BLg3Mz9u/0NEDAI7u621bezkP8TPZOaGHufrKiLuBN6n9GS6JDPHu4y7kPIkxk6f8xPei4hYTiskXZaZe2ayPkmSTiW30UmSpP+FzNxM2Vq0BtgB/Ejpb/M78AOwDVgJXNkraOow7weUxtbDlOqk48CvwJvAde1BU2OcsnVpA6UH0hjlkfP/UCp1PqNU3SzpFDQ15z2amfcA11NCnDHgaDPHYWAUeBG4Hbil3+vpU3sVU6+qJgAyc5iy1ncoT1f7mxKm7QDuy8z7gX+nmWOCsr3wWWAf5d7N6JvNzJzIzMeAG5r1H6RUtP1GqRDbCFzaKWg6TbYDP1F6gK3sNqipXLoGeJVSefdXt7GNyZ5bowZNkqT5wsomSZIkqYKIWAdsAr4HLm/Ct9nMt5ASsp0DrMzMbbNepCRJp4CVTZIkSVIdQ5QeXpfRodH6DDxOCZq+pWwFlSRpXrCySZIkSaokIlZRtk1+Q9nyOaN/tiNiAXAAOBe4IzM/rLZISZLmmE+jkyRJkurZCpwPnEl5cuHPM5znYkpPr8MGTZKk+cbKJkmSJEmSJFVjzyZJkiRJkiRVY9gkSZIkSZKkagybJEmSJEmSVI1hkyRJkiRJkqoxbJIkSZIkSVI1hk2SJEmSJEmqxrBJkiRJkiRJ1Rg2SZIkSZIkqRrDJkmSJEmSJFVj2CRJkiRJkqRqDJskSZIkSZJUjWGTJEmSJEmSqjFskiRJkiRJUjWGTZIkSZIkSarGsEmSJEmSJEnVGDZJkiRJkiSpGsMmSZIkSZIkVWPYJEmSJEmSpGoMmyRJkiRJklSNYZMkSZIkSZKq+Q/h42qo1DOn8wAAAABJRU5ErkJggg==\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"state_x = np.arange(1, 10)\n",
"\n",
"from numpy import log as ln\n",
"\n",
"plt.plot(state_x, [ln(i) for i in model.forward[0, :]], c='r', label=\"State 1\")\n",
"plt.plot(state_x, [ln(i) for i in model.forward[1, :]], c='b', label=\"State 2\")\n",
"\n",
"plt.ylim(top=0)\n",
"\n",
"plt.legend()\n",
"plt.title(\"Forward Log-Likelihoods Over Time\")\n",
"\n",
"plt.xlabel(\"Observation (t)\")\n",
"plt.ylabel(\"Log Likelihood\")\n",
"plt.grid(linestyle=\"--\")\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"fig.set_tight_layout(True)\n",
"if fig_export:\n",
" savefig(\"report/res/forward-logline.png\")\n",
"plt.show()"
]
},
{
"source": [
"# Backward Procedure (4)"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[[6.57892066e-11 2.92661737e-09 6.89869860e-08 4.45463420e-07\n 1.92898428e-06 2.51074677e-05 9.30059204e-05 3.93414211e-04\n 2.00000000e-02]\n [6.24515168e-10 1.22518178e-09 2.99943420e-09 2.11439342e-08\n 3.02470605e-07 1.14745634e-06 3.77015860e-05 5.73240014e-03\n 3.00000000e-02]]\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"1.9197737567283167e-10"
]
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition)\n",
"model.populate_backward()\n",
"\n",
"print(model.backward)\n",
"\n",
"backward = model.backward\n",
"model.calculate_p_obs_backward()\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:50:59.518369</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 48.982813 243.24375 \nL 417.6 243.24375 \nL 417.6 22.318125 \nL 48.982813 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 65.738139 243.24375 \nL 65.738139 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m756d8e9c83\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"65.738139\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 1 -->\n <g transform=\"translate(62.556889 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 107.626456 243.24375 \nL 107.626456 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.626456\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(104.445206 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 149.514773 243.24375 \nL 149.514773 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"149.514773\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 3 -->\n <g transform=\"translate(146.333523 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 191.403089 243.24375 \nL 191.403089 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.403089\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 4 -->\n <g transform=\"translate(188.221839 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 233.291406 243.24375 \nL 233.291406 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"233.291406\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 5 -->\n <g transform=\"translate(230.110156 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 275.179723 243.24375 \nL 275.179723 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.179723\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(271.998473 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 317.06804 243.24375 \nL 317.06804 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.06804\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 7 -->\n <g transform=\"translate(313.88679 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 8.203125 72.90625 \nL 55.078125 72.90625 \nL 55.078125 68.703125 \nL 28.609375 0 \nL 18.3125 0 \nL 43.21875 64.59375 \nL 8.203125 64.59375 \nz\n\" id=\"DejaVuSans-55\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-55\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_8\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 358.956357 243.24375 \nL 358.956357 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"358.956357\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- 8 -->\n <g transform=\"translate(355.775107 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_9\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 400.844673 243.24375 \nL 400.844673 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"400.844673\" xlink:href=\"#m756d8e9c83\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 9 -->\n <g transform=\"translate(397.663423 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-57\"/>\n </g>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- Observation (t) -->\n <g transform=\"translate(195.392969 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 31 75.875 \nQ 24.46875 64.65625 21.28125 53.65625 \nQ 18.109375 42.671875 18.109375 31.390625 \nQ 18.109375 20.125 21.3125 9.0625 \nQ 24.515625 -2 31 -13.1875 \nL 23.1875 -13.1875 \nQ 15.875 -1.703125 12.234375 9.375 \nQ 8.59375 20.453125 8.59375 31.390625 \nQ 8.59375 42.28125 12.203125 53.3125 \nQ 15.828125 64.359375 23.1875 75.875 \nz\n\" id=\"DejaVuSans-40\"/>\n <path d=\"M 8.015625 75.875 \nL 15.828125 75.875 \nQ 23.140625 64.359375 26.78125 53.3125 \nQ 30.421875 42.28125 30.421875 31.390625 \nQ 30.421875 20.453125 26.78125 9.375 \nQ 23.140625 -1.703125 15.828125 -13.1875 \nL 8.015625 -13.1875 \nQ 14.5 -2 17.703125 9.0625 \nQ 20.90625 20.125 20.90625 31.390625 \nQ 20.90625 42.671875 17.703125 53.65625 \nQ 14.5 64.65625 8.015625 75.875 \nz\n\" id=\"DejaVuSans-41\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-40\"/>\n <use x=\"679.736328\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"718.945312\" xlink:href=\"#DejaVuSans-41\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 48.982813 203.097484 \nL 417.6 203.097484 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m82f859d837\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m82f859d837\" y=\"203.097484\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 20 -->\n <g transform=\"translate(20.878125 206.896703)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n <use x=\"147.412109\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 48.982813 157.902644 \nL 417.6 157.902644 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m82f859d837\" y=\"157.902644\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 15 -->\n <g transform=\"translate(20.878125 161.701863)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"147.412109\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 48.982813 112.707804 \nL 417.6 112.707804 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m82f859d837\" y=\"112.707804\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 10 -->\n <g transform=\"translate(20.878125 116.507023)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"147.412109\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 48.982813 67.512965 \nL 417.6 67.512965 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m82f859d837\" y=\"67.512965\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 5 -->\n <g transform=\"translate(27.240625 71.312183)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_27\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 48.982813 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_28\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.982813\" xlink:href=\"#m82f859d837\" y=\"22.318125\"/>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- 0 -->\n <g transform=\"translate(35.620313 26.117344)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"text_16\">\n <!-- Log Likelihood -->\n <g transform=\"translate(14.798438 168.5075)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n <path d=\"M 45.40625 27.984375 \nQ 45.40625 37.75 41.375 43.109375 \nQ 37.359375 48.484375 30.078125 48.484375 \nQ 22.859375 48.484375 18.828125 43.109375 \nQ 14.796875 37.75 14.796875 27.984375 \nQ 14.796875 18.265625 18.828125 12.890625 \nQ 22.859375 7.515625 30.078125 7.515625 \nQ 37.359375 7.515625 41.375 12.890625 \nQ 45.40625 18.265625 45.40625 27.984375 \nz\nM 54.390625 6.78125 \nQ 54.390625 -7.171875 48.1875 -13.984375 \nQ 42 -20.796875 29.203125 -20.796875 \nQ 24.46875 -20.796875 20.265625 -20.09375 \nQ 16.0625 -19.390625 12.109375 -17.921875 \nL 12.109375 -9.1875 \nQ 16.0625 -11.328125 19.921875 -12.34375 \nQ 23.78125 -13.375 27.78125 -13.375 \nQ 36.625 -13.375 41.015625 -8.765625 \nQ 45.40625 -4.15625 45.40625 5.171875 \nL 45.40625 9.625 \nQ 42.625 4.78125 38.28125 2.390625 \nQ 33.9375 0 27.875 0 \nQ 17.828125 0 11.671875 7.65625 \nQ 5.515625 15.328125 5.515625 27.984375 \nQ 5.515625 40.671875 11.671875 48.328125 \nQ 17.828125 56 27.875 56 \nQ 33.9375 56 38.28125 53.609375 \nQ 42.625 51.21875 45.40625 46.390625 \nL 45.40625 54.6875 \nL 54.390625 54.6875 \nz\n\" id=\"DejaVuSans-103\"/>\n <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"53.962891\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"115.144531\" xlink:href=\"#DejaVuSans-103\"/>\n <use x=\"178.621094\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"210.408203\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"266.121094\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"293.904297\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"348.189453\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"409.712891\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"437.496094\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"465.279297\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"528.658203\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"589.839844\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"651.021484\" xlink:href=\"#DejaVuSans-100\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_29\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 65.738139 234.232799 \nL 107.626456 199.92859 \nL 149.514773 171.364813 \nL 191.403089 154.505354 \nL 233.291406 141.257538 \nL 275.179723 118.061994 \nL 317.06804 106.225485 \nL 358.956357 93.189487 \nL 400.844673 57.678776 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_30\">\n <path clip-path=\"url(#pdf544a5844)\" d=\"M 65.738139 213.890423 \nL 107.626456 207.799344 \nL 149.514773 199.706444 \nL 191.403089 182.053978 \nL 233.291406 158.004619 \nL 275.179723 145.952794 \nL 317.06804 114.387321 \nL 358.956357 68.973851 \nL 400.844673 54.013789 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 48.982813 243.24375 \nL 48.982813 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 417.6 243.24375 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 48.982813 243.24375 \nL 417.6 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 48.982813 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_17\">\n <!-- Backward Log-Likelihoods Over Time -->\n <g transform=\"translate(122.881094 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 19.671875 34.8125 \nL 19.671875 8.109375 \nL 35.5 8.109375 \nQ 43.453125 8.109375 47.28125 11.40625 \nQ 51.125 14.703125 51.125 21.484375 \nQ 51.125 28.328125 47.28125 31.5625 \nQ 43.453125 34.8125 35.5 34.8125 \nz\nM 19.671875 64.796875 \nL 19.671875 42.828125 \nL 34.28125 42.828125 \nQ 41.5 42.828125 45.03125 45.53125 \nQ 48.578125 48.25 48.578125 53.8125 \nQ 48.578125 59.328125 45.03125 62.0625 \nQ 41.5 64.796875 34.28125 64.796875 \nz\nM 9.8125 72.90625 \nL 35.015625 72.90625 \nQ 46.296875 72.90625 52.390625 68.21875 \nQ 58.5 63.53125 58.5 54.890625 \nQ 58.5 48.1875 55.375 44.234375 \nQ 52.25 40.28125 46.1875 39.3125 \nQ 53.46875 37.75 57.5 32.78125 \nQ 61.53125 27.828125 61.53125 20.40625 \nQ 61.53125 10.640625 54.890625 5.3125 \nQ 48.25 0 35.984375 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-66\"/>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n <path d=\"M 4.203125 54.6875 \nL 13.1875 54.6875 \nL 24.421875 12.015625 \nL 35.59375 54.6875 \nL 46.1875 54.6875 \nL 57.421875 12.015625 \nL 68.609375 54.6875 \nL 77.59375 54.6875 \nL 63.28125 0 \nL 52.6875 0 \nL 40.921875 44.828125 \nL 29.109375 0 \nL 18.5 0 \nz\n\" id=\"DejaVuSans-119\"/>\n <path d=\"M 4.890625 31.390625 \nL 31.203125 31.390625 \nL 31.203125 23.390625 \nL 4.890625 23.390625 \nz\n\" id=\"DejaVuSans-45\"/>\n <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-66\"/>\n <use x=\"68.603516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"129.882812\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"184.863281\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"242.773438\" xlink:href=\"#DejaVuSans-119\"/>\n <use x=\"324.560547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"385.839844\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"425.203125\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"488.679688\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"520.466797\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"574.429688\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"635.611328\" xlink:href=\"#DejaVuSans-103\"/>\n <use x=\"699.087891\" xlink:href=\"#DejaVuSans-45\"/>\n <use x=\"735.171875\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"790.884766\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"818.667969\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"872.953125\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"934.476562\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"962.259766\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"990.042969\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"1053.421875\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1114.603516\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1175.785156\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"1239.261719\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1291.361328\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1323.148438\" xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"1401.859375\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"1461.039062\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1522.5625\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"1563.675781\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1595.462891\" xlink:href=\"#DejaVuSans-84\"/>\n <use x=\"1653.421875\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1681.205078\" xlink:href=\"#DejaVuSans-109\"/>\n <use x=\"1778.617188\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 55.982813 59.674375 \nL 123.99375 59.674375 \nQ 125.99375 59.674375 125.99375 57.674375 \nL 125.99375 29.318125 \nQ 125.99375 27.318125 123.99375 27.318125 \nL 55.982813 27.318125 \nQ 53.982813 27.318125 53.982813 29.318125 \nL 53.982813 57.674375 \nQ 53.982813 59.674375 55.982813 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_31\">\n <path d=\"M 57.982813 35.416563 \nL 77.982813 35.416563 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\"/>\n <g id=\"text_18\">\n <!-- State 1 -->\n <g transform=\"translate(85.982813 38.916563)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_33\">\n <path d=\"M 57.982813 50.094688 \nL 77.982813 50.094688 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_34\"/>\n <g id=\"text_19\">\n <!-- State 2 -->\n <g transform=\"translate(85.982813 53.594688)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"pdf544a5844\">\n <rect height=\"220.925625\" width=\"368.617187\" x=\"48.982813\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"state_x = np.arange(1, 10)\n",
"\n",
"from numpy import log as ln\n",
"\n",
"plt.plot(state_x, [ln(i) for i in model.backward[0, :]], c='r', label=\"State 1\")\n",
"plt.plot(state_x, [ln(i) for i in model.backward[1, :]], c='b', label=\"State 2\")\n",
"\n",
"plt.ylim(top=0)\n",
"\n",
"plt.legend()\n",
"plt.title(\"Backward Log-Likelihoods Over Time\")\n",
"\n",
"plt.xlabel(\"Observation (t)\")\n",
"plt.ylabel(\"Log Likelihood\")\n",
"plt.grid(linestyle=\"--\")\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"fig.set_tight_layout(True)\n",
"if fig_export:\n",
" savefig(\"report/res/backward-logline.png\")\n",
"plt.show()"
]
},
{
"source": [
"# Compare Forward/Backward Final"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"forward: 1.9197737567283167e-10\nbackward: 1.9197737567283167e-10\ndiff: 0.0\n"
]
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition)\n",
"model.populate_forward()\n",
"model.populate_backward()\n",
"\n",
"print(\"forward:\", model.calculate_p_obs_forward())\n",
"print(\"backward:\", model.calculate_p_obs_backward())\n",
"\n",
"print(\"diff: \", model.p_obs_forward - model.p_obs_backward)\n"
]
},
{
"source": [
"# Occupation Likelihoods (5)"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[[3.29488306e-03 3.05486147e-03 1.04007783e-01 9.99999991e-01\n 9.99742065e-01 9.92483109e-01 9.99490475e-01 9.76142401e-01\n 5.86805704e-02]\n [9.96705117e-01 9.96945139e-01 8.95992217e-01 8.81769869e-09\n 2.57935122e-04 7.51689067e-03 5.09524759e-04 2.38575993e-02\n 9.41319430e-01]]\n"
]
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"occupation = model.occupation\n",
"print(model.occupation)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x1200 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"424.8pt\" version=\"1.1\" viewBox=\"0 0 416.703013 424.8\" width=\"416.703013pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:51:00.058329</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 424.8 \nL 416.703013 424.8 \nL 416.703013 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"patch_2\">\n <path d=\"M 7.2 417.6 \nL 402.481875 417.6 \nL 402.481875 22.318125 \nL 7.2 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"pane3d_1\">\n <g id=\"patch_3\">\n <path d=\"M 49.005253 340.305731 \nL 135.065331 201.936667 \nL 131.351494 50.443663 \nL 40.252902 181.428404 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n </g>\n </g>\n <g id=\"pane3d_2\">\n <g id=\"patch_4\">\n <path d=\"M 135.065331 201.936667 \nL 361.811916 244.232181 \nL 369.53318 90.353614 \nL 131.351494 50.443663 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n </g>\n </g>\n <g id=\"pane3d_3\">\n <g id=\"patch_5\">\n <path d=\"M 49.005253 340.305731 \nL 294.873299 390.994429 \nL 361.811916 244.232181 \nL 135.065331 201.936667 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n </g>\n </g>\n <g id=\"axis3d_1\">\n <g id=\"line2d_1\">\n <path d=\"M 49.005253 340.305731 \nL 294.873299 390.994429 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_1\">\n <!-- Observation -->\n <g transform=\"translate(129.664429 399.369867)rotate(-348.350985)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n </g>\n </g>\n <g id=\"Line3DCollection_1\">\n <path d=\"M 66.528068 343.918273 \nL 151.265389 204.958498 \nL 148.346263 53.291323 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 92.155606 349.201703 \nL 174.94728 209.37593 \nL 173.196057 57.455178 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 117.950294 354.519592 \nL 198.770346 213.819697 \nL 198.201374 61.645093 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 143.913771 359.87228 \nL 222.735855 218.290033 \nL 223.363679 65.861313 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 170.047701 365.260109 \nL 246.845086 222.787178 \nL 248.684456 70.104086 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 196.353768 370.683425 \nL 271.099338 227.311374 \nL 274.165205 74.373665 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 222.833677 376.142582 \nL 295.499922 231.862866 \nL 299.807448 78.670304 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 249.489158 381.637934 \nL 320.048166 236.441901 \nL 325.612726 82.994261 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 276.321962 387.169844 \nL 344.745416 241.048731 \nL 351.582597 87.345797 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n </g>\n <g id=\"xtick_1\">\n <g id=\"line2d_2\">\n <path d=\"M 67.268786 342.703578 \nL 65.043304 346.353121 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_2\">\n <!-- 1 -->\n <g transform=\"translate(58.574054 368.470076)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path d=\"M 92.879515 347.979101 \nL 90.704523 351.652417 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_3\">\n <!-- 2 -->\n <g transform=\"translate(84.246307 373.821167)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_4\">\n <path d=\"M 118.65716 353.289007 \nL 116.533364 356.986329 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_4\">\n <!-- 3 -->\n <g transform=\"translate(110.086397 379.207242)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_5\">\n <path d=\"M 144.603355 358.633632 \nL 142.531474 362.355197 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_5\">\n <!-- 4 -->\n <g transform=\"translate(136.095974 384.628645)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_6\">\n <path d=\"M 170.71976 364.013319 \nL 168.700523 367.759365 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_6\">\n <!-- 5 -->\n <g transform=\"translate(162.276712 390.085724)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_7\">\n <path d=\"M 197.008056 369.428413 \nL 195.042203 373.199183 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_7\">\n <!-- 6 -->\n <g transform=\"translate(188.630305 395.578832)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_8\">\n <path d=\"M 223.469944 374.879265 \nL 221.558226 378.675005 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_8\">\n <!-- 7 -->\n <g transform=\"translate(215.158471 401.108329)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 8.203125 72.90625 \nL 55.078125 72.90625 \nL 55.078125 68.703125 \nL 28.609375 0 \nL 18.3125 0 \nL 43.21875 64.59375 \nL 8.203125 64.59375 \nz\n\" id=\"DejaVuSans-55\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-55\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_8\">\n <g id=\"line2d_9\">\n <path d=\"M 250.107151 380.36623 \nL 248.25033 384.18719 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_9\">\n <!-- 8 -->\n <g transform=\"translate(241.862951 406.674576)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_9\">\n <g id=\"line2d_10\">\n <path d=\"M 276.921424 385.88967 \nL 275.120274 389.7361 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_10\">\n <!-- 9 -->\n <g transform=\"translate(268.745508 412.277942)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-57\"/>\n </g>\n </g>\n </g>\n </g>\n <g id=\"axis3d_2\">\n <g id=\"line2d_11\">\n <path d=\"M 361.811916 244.232181 \nL 294.873299 390.994429 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_11\">\n <!-- State -->\n <g transform=\"translate(355.590831 351.316177)rotate(-65.482156)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n <g id=\"Line3DCollection_2\">\n <path d=\"M 53.171202 162.854021 \nL 61.160732 320.761916 \nL 304.349627 370.217674 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 120.376743 66.223543 \nL 124.655352 218.674033 \nL 353.733838 261.943285 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n </g>\n <g id=\"xtick_10\">\n <g id=\"line2d_12\">\n <path d=\"M 302.34456 369.809916 \nL 308.362733 371.033794 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_12\">\n <!-- 1 -->\n <g transform=\"translate(314.879477 389.135491)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_11\">\n <g id=\"line2d_13\">\n <path d=\"M 351.848787 261.587229 \nL 357.506553 262.65589 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_13\">\n <!-- 2 -->\n <g transform=\"translate(363.310307 280.241793)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n <g id=\"axis3d_3\">\n <g id=\"line2d_14\">\n <path d=\"M 361.811916 244.232181 \nL 369.53318 90.353614 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_14\">\n <!-- Occupation Likelihood -->\n <g transform=\"translate(401.891956 213.868958)rotate(-87.127442)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"133.691406\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"188.671875\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"252.050781\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"315.527344\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"376.806641\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"416.015625\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"443.798828\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"504.980469\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"568.359375\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"600.146484\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"655.859375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"683.642578\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"737.927734\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"799.451172\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"827.234375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"855.017578\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"918.396484\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"979.578125\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1040.759766\" xlink:href=\"#DejaVuSans-100\"/>\n </g>\n </g>\n <g id=\"Line3DCollection_3\">\n <path d=\"M 361.959001 241.300891 \nL 134.994487 199.046825 \nL 48.839051 337.288738 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 363.385675 212.868442 \nL 134.307521 171.024463 \nL 47.225894 308.005864 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 364.839424 183.8964 \nL 133.607887 142.48532 \nL 45.580154 278.131519 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 366.321026 154.369258 \nL 132.89523 113.414967 \nL 43.900834 247.647602 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 367.831291 124.270907 \nL 132.169183 83.798434 \nL 42.186894 216.535262 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n <path d=\"M 369.371057 93.584611 \nL 131.429366 53.62018 \nL 40.437254 184.774865 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n </g>\n <g id=\"xtick_12\">\n <g id=\"line2d_15\">\n <path d=\"M 360.091891 240.95329 \nL 365.69578 241.996568 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_15\">\n <!-- 0.0 -->\n <g transform=\"translate(370.406521 243.872141)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_13\">\n <g id=\"line2d_16\">\n <path d=\"M 361.50069 212.524126 \nL 367.158253 213.55755 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_16\">\n <!-- 0.2 -->\n <g transform=\"translate(371.982075 215.487339)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_14\">\n <g id=\"line2d_17\">\n <path d=\"M 362.936218 183.555556 \nL 368.648493 184.578563 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_17\">\n <!-- 0.4 -->\n <g transform=\"translate(373.58743 186.565659)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_15\">\n <g id=\"line2d_18\">\n <path d=\"M 364.399244 154.032083 \nL 370.1673 155.044082 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_18\">\n <!-- 0.6 -->\n <g transform=\"translate(375.223438 157.091726)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_16\">\n <g id=\"line2d_19\">\n <path d=\"M 365.890566 123.937608 \nL 371.715502 124.937979 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_19\">\n <!-- 0.8 -->\n <g transform=\"translate(376.890988 127.049569)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_17\">\n <g id=\"line2d_20\">\n <path d=\"M 367.411013 93.255404 \nL 373.293961 94.243498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_20\">\n <!-- 1.0 -->\n <g transform=\"translate(378.590998 96.422595)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n </g>\n <g id=\"axes_1\">\n <g id=\"Poly3DCollection_1\">\n <path clip-path=\"url(#pb81916e121)\" d=\"M 209.27285 215.729174 \nL 209.27285 215.729173 \nL 233.370305 220.223973 \nL 233.370305 220.223974 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 120.058741 231.086323 \nL 137.8383 202.40478 \nL 161.508123 206.819815 \nL 144.133531 235.673945 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 233.370305 220.223974 \nL 233.370579 220.187899 \nL 257.613445 224.709713 \nL 257.612882 224.745842 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 144.133531 235.673945 \nL 161.508123 206.819815 \nL 185.319217 211.261201 \nL 168.354803 240.289479 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 257.612882 224.745842 \nL 257.629307 223.692589 \nL 282.026842 228.24017 \nL 282.001895 229.295025 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 168.354803 240.289479 \nL 185.319217 211.261201 \nL 209.27285 215.729174 \nL 192.723897 244.933182 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 192.723897 244.933182 \nL 192.723897 244.933181 \nL 209.27285 215.729173 \nL 209.27285 215.729174 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 282.001895 229.295025 \nL 282.003586 229.223546 \nL 306.540952 233.800183 \nL 306.538677 233.871771 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 192.723897 244.933182 \nL 209.27285 215.729174 \nL 233.370305 220.223974 \nL 217.24217 249.605313 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 192.723897 244.933181 \nL 217.242171 249.605311 \nL 233.370305 220.223973 \nL 209.27285 215.729173 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 217.24217 249.605313 \nL 233.370305 220.223974 \nL 233.370305 220.223973 \nL 217.242171 249.605311 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 217.24217 249.605313 \nL 217.242256 249.568887 \nL 233.370579 220.187899 \nL 233.370305 220.223974 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 306.538677 233.871771 \nL 306.645309 230.516176 \nL 331.358931 235.115639 \nL 331.224573 238.47633 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 217.24217 249.605313 \nL 233.370305 220.223974 \nL 257.612882 224.745842 \nL 241.910998 254.306132 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 217.242256 249.568887 \nL 241.911383 254.269652 \nL 257.613445 224.709713 \nL 233.370579 220.187899 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 241.910998 254.306132 \nL 257.612882 224.745842 \nL 257.613445 224.709713 \nL 241.911383 254.269652 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 241.910998 254.306132 \nL 241.922202 253.242639 \nL 257.629307 223.692589 \nL 257.612882 224.745842 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 137.8383 202.40478 \nL 134.411737 57.29472 \nL 159.195489 61.467264 \nL 161.508123 206.819815 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 241.910998 254.306132 \nL 257.612882 224.745842 \nL 282.001895 229.295025 \nL 266.731771 259.035906 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 241.922202 253.242639 \nL 266.751801 257.970812 \nL 282.026842 228.24017 \nL 257.629307 223.692589 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 266.731771 259.035906 \nL 266.733128 258.963733 \nL 282.003586 229.223546 \nL 282.001895 229.295025 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 266.731771 259.035906 \nL 282.001895 229.295025 \nL 282.026842 228.24017 \nL 266.751801 257.970812 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 161.508123 206.819815 \nL 159.194905 61.430597 \nL 184.133909 65.629164 \nL 185.319217 211.261201 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 185.319217 211.261201 \nL 184.259054 81.005001 \nL 209.233938 85.257533 \nL 209.27285 215.729174 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 266.731771 259.035906 \nL 282.001895 229.295025 \nL 306.538677 233.871771 \nL 291.705897 263.794902 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 266.733128 258.963733 \nL 291.70786 263.722621 \nL 306.540952 233.800183 \nL 282.003586 229.223546 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 192.723897 244.933182 \nL 217.24217 249.605313 \nL 217.242171 249.605311 \nL 192.723897 244.933181 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 291.705897 263.794902 \nL 306.538677 233.871771 \nL 306.540952 233.800183 \nL 291.70786 263.722621 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 291.705897 263.794902 \nL 291.797898 260.40674 \nL 306.645309 230.516176 \nL 306.538677 233.871771 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 291.705897 263.794902 \nL 306.538677 233.871771 \nL 331.224573 238.47633 \nL 316.834801 268.583392 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 217.24217 249.605313 \nL 241.910998 254.306132 \nL 241.911383 254.269652 \nL 217.242256 249.568887 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 120.058741 231.086323 \nL 115.70356 84.42197 \nL 134.411737 57.29472 \nL 137.8383 202.40478 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 291.797898 260.40674 \nL 316.955535 265.19014 \nL 331.358931 235.115639 \nL 306.645309 230.516176 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 316.834801 268.583392 \nL 331.224573 238.47633 \nL 331.358931 235.115639 \nL 316.955535 265.19014 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 316.834801 268.583392 \nL 331.224573 238.47633 \nL 356.060946 243.108957 \nL 342.119928 273.401652 \nz\n\" style=\"fill:#1b1b88;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 241.910998 254.306132 \nL 266.731771 259.035906 \nL 266.751801 257.970812 \nL 241.922202 253.242639 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 144.133531 235.673945 \nL 161.508123 206.819815 \nL 159.195489 61.467264 \nL 140.9316 88.765594 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 144.133531 235.673945 \nL 140.930792 88.728501 \nL 159.194905 61.430597 \nL 161.508123 206.819815 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 168.354803 240.289479 \nL 166.535093 108.652964 \nL 184.259054 81.005001 \nL 185.319217 211.261201 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 266.731771 259.035906 \nL 291.705897 263.794902 \nL 291.70786 263.722621 \nL 266.733128 258.963733 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 168.354803 240.289479 \nL 185.319217 211.261201 \nL 184.133909 65.629164 \nL 166.32009 93.099772 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 192.723897 244.933182 \nL 209.27285 215.729174 \nL 209.233938 85.257533 \nL 191.961941 113.080113 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 291.705897 263.794902 \nL 316.834801 268.583392 \nL 316.955535 265.19014 \nL 291.797898 260.40674 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 120.058741 231.086323 \nL 144.133531 235.673945 \nL 140.9316 88.765594 \nL 115.70356 84.42197 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 144.133531 235.673945 \nL 168.354803 240.289479 \nL 166.32009 93.099772 \nL 140.930792 88.728501 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 331.224573 238.47633 \nL 336.762171 99.965177 \nL 362.756068 104.368883 \nL 356.060946 243.108957 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 168.354803 240.289479 \nL 192.723897 244.933182 \nL 191.961941 113.080113 \nL 166.535093 108.652964 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 316.834801 268.583392 \nL 321.815237 128.606461 \nL 336.762171 99.965177 \nL 331.224573 238.47633 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 115.70356 84.42197 \nL 140.9316 88.765594 \nL 159.195489 61.467264 \nL 134.411737 57.29472 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 166.535093 108.652964 \nL 191.961941 113.080113 \nL 209.233938 85.257533 \nL 184.259054 81.005001 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 342.119928 273.401652 \nL 356.060946 243.108957 \nL 362.756068 104.368883 \nL 348.301174 133.194965 \nz\n\" style=\"fill:#15156a;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 140.930792 88.728501 \nL 166.32009 93.099772 \nL 184.133909 65.629164 \nL 159.194905 61.430597 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 75.774 302.525368 \nL 75.752547 302.05236 \nL 100.831272 307.083587 \nL 100.848778 307.557292 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 316.834801 268.583392 \nL 342.119928 273.401652 \nL 348.301174 133.194965 \nL 321.815237 128.606461 \nz\n\" style=\"fill:#2d2de1;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 100.848778 307.557292 \nL 100.832548 307.1181 \nL 126.07085 312.181449 \nL 126.083374 312.621287 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 55.487813 335.25054 \nL 55.462613 334.773089 \nL 75.752547 302.05236 \nL 75.774 302.525368 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 126.083374 312.621287 \nL 125.654855 297.572212 \nL 151.179243 302.64628 \nL 151.479321 317.717662 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 55.487813 335.25054 \nL 75.774 302.525368 \nL 100.848778 307.557292 \nL 81.01653 340.492872 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 55.462613 334.773089 \nL 80.995419 340.014729 \nL 100.831272 307.083587 \nL 75.752547 302.05236 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 81.01653 340.492872 \nL 80.996957 340.049565 \nL 100.832548 307.1181 \nL 100.848778 307.557292 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 81.01653 340.492872 \nL 100.848778 307.557292 \nL 100.831272 307.083587 \nL 80.995419 340.014729 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 81.01653 340.492872 \nL 100.848778 307.557292 \nL 126.083374 312.621287 \nL 106.71134 345.76931 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 80.996957 340.049565 \nL 106.69561 345.325364 \nL 126.07085 312.181449 \nL 100.832548 307.1181 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 321.815237 128.606461 \nL 348.301174 133.194965 \nL 362.756068 104.368883 \nL 336.762171 99.965177 \nz\n\" style=\"fill:#2727c3;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 106.71134 345.76931 \nL 126.083374 312.621287 \nL 126.07085 312.181449 \nL 106.69561 345.325364 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 106.71134 345.76931 \nL 126.083374 312.621287 \nL 151.479321 317.717662 \nL 132.573871 351.08019 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 106.71134 345.76931 \nL 106.173092 330.578108 \nL 125.654855 297.572212 \nL 126.083374 312.621287 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 132.573871 351.08019 \nL 151.479321 317.717662 \nL 177.03817 322.846727 \nL 158.605769 356.42585 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 55.487813 335.25054 \nL 81.01653 340.492872 \nL 80.995419 340.014729 \nL 55.462613 334.773089 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 132.573871 351.08019 \nL 151.479321 317.717662 \nL 151.179243 302.64628 \nL 132.168833 335.866867 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 106.173092 330.578108 \nL 132.168833 335.866867 \nL 151.179243 302.64628 \nL 125.654855 297.572212 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 158.605769 356.42585 \nL 177.03817 322.846727 \nL 202.761494 328.008799 \nL 184.808705 361.806633 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 81.01653 340.492872 \nL 106.71134 345.76931 \nL 106.69561 345.325364 \nL 80.996957 340.049565 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 184.808705 361.806633 \nL 202.761494 328.008799 \nL 228.650887 333.204197 \nL 211.18437 367.222885 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 280.93435 343.696269 \nL 281.141264 335.149733 \nL 307.616753 340.434672 \nL 307.331711 348.993605 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 106.71134 345.76931 \nL 132.573871 351.08019 \nL 132.168833 335.866867 \nL 106.173092 330.578108 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 211.18437 367.222885 \nL 228.650887 333.204197 \nL 254.707961 338.433244 \nL 237.734476 372.674959 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 237.734476 372.674959 \nL 254.707961 338.433244 \nL 280.93435 343.696269 \nL 264.46076 378.163211 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 151.479321 317.717662 \nL 148.461268 166.1363 \nL 175.328402 171.018711 \nL 177.03817 322.846727 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 264.46076 378.163211 \nL 264.622873 369.537822 \nL 281.141264 335.149733 \nL 280.93435 343.696269 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 264.46076 378.163211 \nL 280.93435 343.696269 \nL 307.331711 348.993605 \nL 291.364982 383.688003 \nz\n\" style=\"fill:#880e0e;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 177.03817 322.846727 \nL 175.328865 171.059891 \nL 202.377483 175.975421 \nL 202.761494 328.008799 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 264.622873 369.537822 \nL 291.60826 375.050371 \nL 307.616753 340.434672 \nL 281.141264 335.149733 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 291.364982 383.688003 \nL 307.331711 348.993605 \nL 307.616753 340.434672 \nL 291.60826 375.050371 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 202.761494 328.008799 \nL 202.380414 177.135995 \nL 229.60247 182.086981 \nL 228.650887 333.204197 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 132.573871 351.08019 \nL 128.496238 197.923295 \nL 148.461268 166.1363 \nL 151.479321 317.717662 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 228.650887 333.204197 \nL 229.609538 180.964644 \nL 257.027054 185.947351 \nL 254.707961 338.433244 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 158.605769 356.42585 \nL 155.887273 203.064506 \nL 175.328865 171.059891 \nL 177.03817 322.846727 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 158.605769 356.42585 \nL 177.03817 322.846727 \nL 175.328402 171.018711 \nL 155.886535 203.022854 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 254.707961 338.433244 \nL 256.970128 189.690393 \nL 284.541256 194.713833 \nL 280.93435 343.696269 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 264.46076 378.163211 \nL 291.364982 383.688003 \nL 291.60826 375.050371 \nL 264.622873 369.537822 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 184.808705 361.806633 \nL 183.476936 209.373271 \nL 202.380414 177.135995 \nL 202.761494 328.008799 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 184.808705 361.806633 \nL 202.761494 328.008799 \nL 202.377483 175.975421 \nL 183.46668 208.199417 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 211.18437 367.222885 \nL 228.650887 333.204197 \nL 229.60247 182.086981 \nL 211.237132 214.545909 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 211.18437 367.222885 \nL 211.237524 213.410746 \nL 229.609538 180.964644 \nL 228.650887 333.204197 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 132.573871 351.08019 \nL 158.605769 356.42585 \nL 155.886535 203.022854 \nL 128.496238 197.923295 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 237.734476 372.674959 \nL 239.165409 222.40308 \nL 256.970128 189.690393 \nL 254.707961 338.433244 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 237.734476 372.674959 \nL 254.707961 338.433244 \nL 257.027054 185.947351 \nL 239.201458 218.617393 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 158.605769 356.42585 \nL 184.808705 361.806633 \nL 183.46668 208.199417 \nL 155.887273 203.064506 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 264.46076 378.163211 \nL 280.93435 343.696269 \nL 284.541256 194.713833 \nL 267.289589 227.652802 \nz\n\" style=\"fill:#6a0b0b;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 184.808705 361.806633 \nL 211.18437 367.222885 \nL 211.237132 214.545909 \nL 183.476936 209.373271 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 211.18437 367.222885 \nL 237.734476 372.674959 \nL 239.201458 218.617393 \nL 211.237524 213.410746 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 237.734476 372.674959 \nL 264.46076 378.163211 \nL 267.289589 227.652802 \nL 239.165409 222.40308 \nz\n\" style=\"fill:#e11717;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 128.496238 197.923295 \nL 155.886535 203.022854 \nL 175.328402 171.018711 \nL 148.461268 166.1363 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 155.887273 203.064506 \nL 183.46668 208.199417 \nL 202.377483 175.975421 \nL 175.328865 171.059891 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 183.476936 209.373271 \nL 211.237132 214.545909 \nL 229.60247 182.086981 \nL 202.380414 177.135995 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 211.237524 213.410746 \nL 239.201458 218.617393 \nL 257.027054 185.947351 \nL 229.609538 180.964644 \nz\n\" style=\"fill:#c31414;\"/>\n <path clip-path=\"url(#pb81916e121)\" d=\"M 239.165409 222.40308 \nL 267.289589 227.652802 \nL 284.541256 194.713833 \nL 256.970128 189.690393 \nz\n\" style=\"fill:#c31414;\"/>\n </g>\n <g id=\"text_21\">\n <!-- Occupation Likelihoods Over Time -->\n <g transform=\"translate(102.5325 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"133.691406\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"188.671875\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"252.050781\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"315.527344\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"376.806641\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"416.015625\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"443.798828\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"504.980469\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"568.359375\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"600.146484\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"655.859375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"683.642578\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"737.927734\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"799.451172\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"827.234375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"855.017578\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"918.396484\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"979.578125\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1040.759766\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"1104.236328\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1156.335938\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1188.123047\" xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"1266.833984\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"1326.013672\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1387.537109\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"1428.650391\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1460.4375\" xlink:href=\"#DejaVuSans-84\"/>\n <use x=\"1518.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1546.179688\" xlink:href=\"#DejaVuSans-109\"/>\n <use x=\"1643.591797\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"pb81916e121\">\n <rect height=\"395.281875\" width=\"395.281875\" x=\"7.2\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"fig = plt.figure(figsize=(6,6), dpi=fig_dpi, tight_layout=True)\n",
"ax = fig.add_subplot(1, 1, 1, projection=\"3d\", xmargin=0, ymargin=0)\n",
"\n",
"y_width = 0.3\n",
"\n",
"X = np.arange(1, 10) - 0.5\n",
"Y = np.arange(1, 3) - 0.5*y_width\n",
"X, Y = np.meshgrid(X, Y)\n",
"Z = np.zeros(model.forward.size)\n",
"\n",
"dx = np.ones(model.forward.size)\n",
"dy = y_width * np.ones(model.forward.size)\n",
"\n",
"colours = [*[(1.0, 0.1, 0.1) for i in range(9)], *[(0.2, 0.2, 1.0) for i in range(9)]]\n",
"ax.bar3d(X.flatten(), Y.flatten(), Z, \n",
" dx, dy, model.occupation.flatten(), \n",
" color=colours, shade=True)\n",
"\n",
"ax.set_yticks([1, 2])\n",
"ax.set_zlim(top=1.0)\n",
"\n",
"ax.set_title(\"Occupation Likelihoods Over Time\")\n",
"ax.set_xlabel(\"Observation\")\n",
"ax.set_ylabel(\"State\")\n",
"ax.set_zlabel(\"Occupation Likelihood\")\n",
"ax.view_init(35, -72)\n",
"if fig_export:\n",
" savefig(\"report/res/occupation-bars.png\")\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:51:00.581489</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \nL 417.6 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 60.773011 243.24375 \nL 60.773011 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4efd1fbc13\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"60.773011\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 1 -->\n <g transform=\"translate(57.591761 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 103.252415 243.24375 \nL 103.252415 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"103.252415\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(100.071165 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 145.731818 243.24375 \nL 145.731818 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"145.731818\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 3 -->\n <g transform=\"translate(142.550568 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 188.211222 243.24375 \nL 188.211222 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"188.211222\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 4 -->\n <g transform=\"translate(185.029972 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 230.690625 243.24375 \nL 230.690625 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"230.690625\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 5 -->\n <g transform=\"translate(227.509375 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 273.170028 243.24375 \nL 273.170028 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"273.170028\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(269.988778 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 315.649432 243.24375 \nL 315.649432 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"315.649432\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 7 -->\n <g transform=\"translate(312.468182 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 8.203125 72.90625 \nL 55.078125 72.90625 \nL 55.078125 68.703125 \nL 28.609375 0 \nL 18.3125 0 \nL 43.21875 64.59375 \nL 8.203125 64.59375 \nz\n\" id=\"DejaVuSans-55\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-55\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_8\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 358.128835 243.24375 \nL 358.128835 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"358.128835\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- 8 -->\n <g transform=\"translate(354.947585 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_9\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 400.608239 243.24375 \nL 400.608239 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"400.608239\" xlink:href=\"#m4efd1fbc13\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 9 -->\n <g transform=\"translate(397.426989 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-57\"/>\n </g>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- Observation (t) -->\n <g transform=\"translate(192.792187 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 31 75.875 \nQ 24.46875 64.65625 21.28125 53.65625 \nQ 18.109375 42.671875 18.109375 31.390625 \nQ 18.109375 20.125 21.3125 9.0625 \nQ 24.515625 -2 31 -13.1875 \nL 23.1875 -13.1875 \nQ 15.875 -1.703125 12.234375 9.375 \nQ 8.59375 20.453125 8.59375 31.390625 \nQ 8.59375 42.28125 12.203125 53.3125 \nQ 15.828125 64.359375 23.1875 75.875 \nz\n\" id=\"DejaVuSans-40\"/>\n <path d=\"M 8.015625 75.875 \nL 15.828125 75.875 \nQ 23.140625 64.359375 26.78125 53.3125 \nQ 30.421875 42.28125 30.421875 31.390625 \nQ 30.421875 20.453125 26.78125 9.375 \nQ 23.140625 -1.703125 15.828125 -13.1875 \nL 8.015625 -13.1875 \nQ 14.5 -2 17.703125 9.0625 \nQ 20.90625 20.125 20.90625 31.390625 \nQ 20.90625 42.671875 17.703125 53.65625 \nQ 14.5 64.65625 8.015625 75.875 \nz\n\" id=\"DejaVuSans-41\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-40\"/>\n <use x=\"679.736328\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"718.945312\" xlink:href=\"#DejaVuSans-41\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 43.78125 233.201678 \nL 417.6 233.201678 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mea1bd3f2b4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mea1bd3f2b4\" y=\"233.201678\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 0.0 -->\n <g transform=\"translate(20.878125 237.000897)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 43.78125 193.033382 \nL 417.6 193.033382 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mea1bd3f2b4\" y=\"193.033382\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 0.2 -->\n <g transform=\"translate(20.878125 196.8326)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 43.78125 152.865086 \nL 417.6 152.865086 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mea1bd3f2b4\" y=\"152.865086\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 0.4 -->\n <g transform=\"translate(20.878125 156.664304)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 43.78125 112.696789 \nL 417.6 112.696789 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mea1bd3f2b4\" y=\"112.696789\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 0.6 -->\n <g transform=\"translate(20.878125 116.496008)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_27\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 43.78125 72.528493 \nL 417.6 72.528493 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_28\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mea1bd3f2b4\" y=\"72.528493\"/>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- 0.8 -->\n <g transform=\"translate(20.878125 76.327712)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_6\">\n <g id=\"line2d_29\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 43.78125 32.360197 \nL 417.6 32.360197 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_30\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mea1bd3f2b4\" y=\"32.360197\"/>\n </g>\n </g>\n <g id=\"text_16\">\n <!-- 1.0 -->\n <g transform=\"translate(20.878125 36.159416)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"text_17\">\n <!-- Occupation Likelihood -->\n <g transform=\"translate(14.798438 187.994219)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"133.691406\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"188.671875\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"252.050781\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"315.527344\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"376.806641\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"416.015625\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"443.798828\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"504.980469\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"568.359375\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"600.146484\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"655.859375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"683.642578\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"737.927734\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"799.451172\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"827.234375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"855.017578\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"918.396484\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"979.578125\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1040.759766\" xlink:href=\"#DejaVuSans-100\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_31\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 60.773011 232.539929 \nL 103.252415 232.588135 \nL 145.731818 212.312601 \nL 188.211222 32.360199 \nL 230.690625 32.412001 \nL 273.170028 33.869901 \nL 315.649432 32.462531 \nL 358.128835 37.151793 \nL 400.608239 221.416185 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\">\n <path clip-path=\"url(#p43428d315c)\" d=\"M 60.773011 33.021946 \nL 103.252415 32.97374 \nL 145.731818 53.249274 \nL 188.211222 233.201676 \nL 230.690625 233.149874 \nL 273.170028 231.691974 \nL 315.649432 233.099344 \nL 358.128835 228.410082 \nL 400.608239 44.14569 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 43.78125 243.24375 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 417.6 243.24375 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 43.78125 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_18\">\n <!-- Occupation Likelihoods Over Time -->\n <g transform=\"translate(128.382187 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"133.691406\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"188.671875\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"252.050781\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"315.527344\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"376.806641\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"416.015625\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"443.798828\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"504.980469\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"568.359375\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"600.146484\" xlink:href=\"#DejaVuSans-76\"/>\n <use x=\"655.859375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"683.642578\" xlink:href=\"#DejaVuSans-107\"/>\n <use x=\"737.927734\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"799.451172\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"827.234375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"855.017578\" xlink:href=\"#DejaVuSans-104\"/>\n <use x=\"918.396484\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"979.578125\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1040.759766\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"1104.236328\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1156.335938\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1188.123047\" xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"1266.833984\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"1326.013672\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1387.537109\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"1428.650391\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1460.4375\" xlink:href=\"#DejaVuSans-84\"/>\n <use x=\"1518.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1546.179688\" xlink:href=\"#DejaVuSans-109\"/>\n <use x=\"1643.591797\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 50.78125 148.959063 \nL 118.792188 148.959063 \nQ 120.792188 148.959063 120.792188 146.959063 \nL 120.792188 118.602813 \nQ 120.792188 116.602813 118.792188 116.602813 \nL 50.78125 116.602813 \nQ 48.78125 116.602813 48.78125 118.602813 \nL 48.78125 146.959063 \nQ 48.78125 148.959063 50.78125 148.959063 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_33\">\n <path d=\"M 52.78125 124.70125 \nL 72.78125 124.70125 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_34\"/>\n <g id=\"text_19\">\n <!-- State 1 -->\n <g transform=\"translate(80.78125 128.20125)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_35\">\n <path d=\"M 52.78125 139.379375 \nL 72.78125 139.379375 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_36\"/>\n <g id=\"text_20\">\n <!-- State 2 -->\n <g transform=\"translate(80.78125 142.879375)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"p43428d315c\">\n <rect height=\"220.925625\" width=\"373.81875\" x=\"43.78125\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"state_x = np.arange(1, 10)\n",
"\n",
"plt.plot(state_x, model.occupation[0, :], c='r', label=\"State 1\")\n",
"plt.plot(state_x, model.occupation[1, :], c='b', label=\"State 2\")\n",
"\n",
"plt.legend()\n",
"plt.title(\"Occupation Likelihoods Over Time\")\n",
"\n",
"plt.xlabel(\"Observation (t)\")\n",
"plt.ylabel(\"Occupation Likelihood\")\n",
"plt.grid(linestyle=\"--\")\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"fig.set_tight_layout(True)\n",
"if fig_export:\n",
" savefig(\"report/res/occupation-line.png\")\n",
"plt.show()"
]
},
{
"source": [
"# Re-estimate Mean & Variance (6)"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"mean: [1, 4]\nvariance: [1.44, 0.49]\n\nmean: [1.6747846620246418, 4.089148442531048]\nvariance: [1.8465047320872243, 0.37804421554121403]\n"
]
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"print(\"mean: \", [state1.mean, state2.mean])\n",
"print(\"variance: \", [state1.variance, state2.variance])\n",
"print()\n",
"\n",
"print(\"mean: \", model.reestimated_mean())\n",
"print(\"variance: \", model.reestimated_variance())\n"
]
},
{
"source": [
"New PDFs (7)\n",
"==================="
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"277.314375pt\" version=\"1.1\" viewBox=\"0 0 385.78125 277.314375\" width=\"385.78125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:51:01.088056</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 277.314375 \nL 385.78125 277.314375 \nL 385.78125 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 43.78125 239.758125 \nL 378.58125 239.758125 \nL 378.58125 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 58.999432 239.758125 \nL 58.999432 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0090ecdb57\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"58.999432\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 4 -->\n <g transform=\"translate(51.628338 254.356562)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 109.726705 239.758125 \nL 109.726705 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"109.726705\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(102.355611 254.356562)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 160.453977 239.758125 \nL 160.453977 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"160.453977\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 0 -->\n <g transform=\"translate(157.272727 254.356562)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 211.18125 239.758125 \nL 211.18125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"211.18125\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 2 -->\n <g transform=\"translate(208 254.356562)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 261.908523 239.758125 \nL 261.908523 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"261.908523\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 4 -->\n <g transform=\"translate(258.727273 254.356562)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 312.635795 239.758125 \nL 312.635795 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.635795\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(309.454545 254.356562)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 363.363068 239.758125 \nL 363.363068 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"363.363068\" xlink:href=\"#m0090ecdb57\" y=\"239.758125\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 8 -->\n <g transform=\"translate(360.181818 254.356562)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- Observation Space -->\n <g transform=\"translate(163.90625 268.034687)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"704.199219\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"767.675781\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"828.955078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"883.935547\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 229.874489 \nL 378.58125 229.874489 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mcbefdf3579\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"229.874489\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 0.0 -->\n <g transform=\"translate(20.878125 233.673707)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 199.396134 \nL 378.58125 199.396134 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"199.396134\"/>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- 0.1 -->\n <g transform=\"translate(20.878125 203.195353)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 168.91778 \nL 378.58125 168.91778 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"168.91778\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 0.2 -->\n <g transform=\"translate(20.878125 172.716999)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 138.439425 \nL 378.58125 138.439425 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"138.439425\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 0.3 -->\n <g transform=\"translate(20.878125 142.238644)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 107.961071 \nL 378.58125 107.961071 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"107.961071\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 0.4 -->\n <g transform=\"translate(20.878125 111.76029)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_6\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 77.482717 \nL 378.58125 77.482717 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"77.482717\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 0.5 -->\n <g transform=\"translate(20.878125 81.281935)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_7\">\n <g id=\"line2d_27\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 43.78125 47.004362 \nL 378.58125 47.004362 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_28\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#mcbefdf3579\" y=\"47.004362\"/>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- 0.6 -->\n <g transform=\"translate(20.878125 50.803581)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"text_16\">\n <!-- Probability Density -->\n <g transform=\"translate(14.798438 178.064687)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"222.074219\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"283.353516\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"346.830078\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"374.613281\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"402.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"430.179688\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"469.388672\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"528.568359\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"560.355469\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"637.357422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"762.259766\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"814.359375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"842.142578\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"881.351562\" xlink:href=\"#DejaVuSans-121\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_29\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 58.999432 229.859878 \nL 80.376142 229.713785 \nL 90.555528 229.434753 \nL 97.681098 229.029855 \nL 103.788729 228.446013 \nL 108.878422 227.713634 \nL 112.950177 226.912328 \nL 117.021931 225.870156 \nL 120.075747 224.900056 \nL 123.129563 223.743262 \nL 126.183378 222.376554 \nL 129.237194 220.776898 \nL 132.29101 218.922283 \nL 135.344826 216.792697 \nL 138.398641 214.371217 \nL 141.452457 211.645192 \nL 144.506273 208.607455 \nL 147.560089 205.25753 \nL 150.613904 201.602763 \nL 153.66772 197.659299 \nL 157.739474 191.998138 \nL 161.811229 185.959361 \nL 167.91886 176.465048 \nL 176.062369 163.844445 \nL 180.134123 157.977411 \nL 183.187939 153.936222 \nL 186.241755 150.295105 \nL 188.277632 148.128527 \nL 190.313509 146.195449 \nL 192.349386 144.515017 \nL 194.385263 143.10413 \nL 196.421141 141.977152 \nL 198.457018 141.145674 \nL 200.492895 140.618309 \nL 202.528772 140.40055 \nL 204.564649 140.494671 \nL 206.600526 140.899689 \nL 208.636404 141.61138 \nL 210.672281 142.622354 \nL 212.708158 143.922178 \nL 214.744035 145.497564 \nL 216.779912 147.332585 \nL 218.815789 149.408952 \nL 221.869605 152.931018 \nL 224.923421 156.874283 \nL 227.977237 161.157067 \nL 232.048991 167.248662 \nL 241.210438 181.581251 \nL 246.300131 189.330824 \nL 250.371885 195.174186 \nL 254.44364 200.587002 \nL 257.497456 204.320075 \nL 260.551271 207.751683 \nL 263.605087 210.872242 \nL 266.658903 213.680265 \nL 269.712719 216.181263 \nL 272.766534 218.386556 \nL 275.82035 220.312055 \nL 278.874166 221.977065 \nL 281.927982 223.403168 \nL 284.981797 224.613216 \nL 288.035613 225.630451 \nL 292.107367 226.726306 \nL 296.179122 227.571566 \nL 300.250876 228.21323 \nL 305.340569 228.791533 \nL 311.4482 229.244812 \nL 319.591709 229.583476 \nL 330.789034 229.782568 \nL 351.147805 229.865859 \nL 363.363068 229.872723 \nL 363.363068 229.872723 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_30\">\n <path clip-path=\"url(#p3c177b1e1b)\" d=\"M 58.999432 229.874489 \nL 203.546711 229.771045 \nL 208.636404 229.525695 \nL 211.690219 229.187289 \nL 213.726096 228.817249 \nL 215.761974 228.275435 \nL 217.797851 227.496823 \nL 219.833728 226.398831 \nL 221.869605 224.879647 \nL 222.887544 223.924878 \nL 223.905482 222.817735 \nL 224.923421 221.540153 \nL 225.941359 220.073122 \nL 226.959298 218.396867 \nL 227.977237 216.491078 \nL 228.995175 214.335195 \nL 230.013114 211.908737 \nL 232.048991 206.164985 \nL 234.084868 199.113662 \nL 236.120745 190.639639 \nL 238.156622 180.676827 \nL 240.1925 169.226642 \nL 242.228377 156.374922 \nL 244.264254 142.305036 \nL 247.31807 119.574227 \nL 252.407763 81.07251 \nL 254.44364 67.069058 \nL 256.479517 54.757802 \nL 257.497456 49.414354 \nL 258.515394 44.698514 \nL 259.533333 40.667306 \nL 260.551271 37.370287 \nL 261.56921 34.848529 \nL 262.587148 33.133771 \nL 263.605087 32.247754 \nL 264.623026 32.201761 \nL 265.640964 32.996379 \nL 266.658903 34.621486 \nL 267.676841 37.056464 \nL 268.69478 40.270638 \nL 269.712719 44.223916 \nL 270.730657 48.867622 \nL 272.766534 59.994818 \nL 274.802411 73.132181 \nL 277.856227 95.327 \nL 283.963859 141.506707 \nL 285.999736 155.635793 \nL 288.035613 168.559708 \nL 290.07149 180.089491 \nL 292.107367 190.134269 \nL 294.143245 198.688429 \nL 296.179122 205.814844 \nL 298.214999 211.626442 \nL 300.250876 216.268127 \nL 302.286753 219.900563 \nL 304.32263 222.68681 \nL 306.358508 224.782239 \nL 308.394385 226.32775 \nL 310.430262 227.445938 \nL 312.466139 228.239693 \nL 314.502016 228.79261 \nL 317.555832 229.310367 \nL 320.609648 229.591406 \nL 325.699341 229.792111 \nL 335.878726 229.869421 \nL 363.363068 229.874488 \nL 363.363068 229.874488 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 43.78125 239.758125 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 378.58125 239.758125 \nL 378.58125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 43.78125 239.758125 \nL 378.58125 239.758125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 43.78125 22.318125 \nL 378.58125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_17\">\n <!-- Re-estimated Probability Density Functions -->\n <g transform=\"translate(82.325625 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 44.390625 34.1875 \nQ 47.5625 33.109375 50.5625 29.59375 \nQ 53.5625 26.078125 56.59375 19.921875 \nL 66.609375 0 \nL 56 0 \nL 46.6875 18.703125 \nQ 43.0625 26.03125 39.671875 28.421875 \nQ 36.28125 30.8125 30.421875 30.8125 \nL 19.671875 30.8125 \nL 19.671875 0 \nL 9.8125 0 \nL 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.578125 72.90625 50.734375 67.671875 \nQ 56.890625 62.453125 56.890625 51.90625 \nQ 56.890625 45.015625 53.6875 40.46875 \nQ 50.484375 35.9375 44.390625 34.1875 \nz\nM 19.671875 64.796875 \nL 19.671875 38.921875 \nL 32.078125 38.921875 \nQ 39.203125 38.921875 42.84375 42.21875 \nQ 46.484375 45.515625 46.484375 51.90625 \nQ 46.484375 58.296875 42.84375 61.546875 \nQ 39.203125 64.796875 32.078125 64.796875 \nz\n\" id=\"DejaVuSans-82\"/>\n <path d=\"M 4.890625 31.390625 \nL 31.203125 31.390625 \nL 31.203125 23.390625 \nL 4.890625 23.390625 \nz\n\" id=\"DejaVuSans-45\"/>\n <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-82\"/>\n <use x=\"64.982422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"126.505859\" xlink:href=\"#DejaVuSans-45\"/>\n <use x=\"162.589844\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"224.113281\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"276.212891\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"315.421875\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"343.205078\" xlink:href=\"#DejaVuSans-109\"/>\n <use x=\"440.617188\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"501.896484\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"541.105469\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"602.628906\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"666.105469\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"697.892578\" xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"756.445312\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"795.308594\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"856.490234\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"919.966797\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"981.246094\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"1044.722656\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1072.505859\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"1100.289062\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1128.072266\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1167.28125\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"1226.460938\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1258.248047\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"1335.25\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1396.773438\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1460.152344\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1512.251953\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1540.035156\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1579.244141\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"1638.423828\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1670.210938\" xlink:href=\"#DejaVuSans-70\"/>\n <use x=\"1722.230469\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"1785.609375\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1848.988281\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"1903.96875\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1943.177734\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1970.960938\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"2032.142578\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"2095.521484\" xlink:href=\"#DejaVuSans-115\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 303.570312 59.674375 \nL 371.58125 59.674375 \nQ 373.58125 59.674375 373.58125 57.674375 \nL 373.58125 29.318125 \nQ 373.58125 27.318125 371.58125 27.318125 \nL 303.570312 27.318125 \nQ 301.570312 27.318125 301.570312 29.318125 \nL 301.570312 57.674375 \nQ 301.570312 59.674375 303.570312 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_31\">\n <path d=\"M 305.570312 35.416562 \nL 325.570312 35.416562 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\"/>\n <g id=\"text_18\">\n <!-- State 1 -->\n <g transform=\"translate(333.570312 38.916562)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_33\">\n <path d=\"M 305.570312 50.094687 \nL 325.570312 50.094687 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_34\"/>\n <g id=\"text_19\">\n <!-- State 2 -->\n <g transform=\"translate(333.570312 53.594687)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"p3c177b1e1b\">\n <rect height=\"217.44\" width=\"334.8\" x=\"43.78125\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"new_mean = model.reestimated_mean()\n",
"new_var = model.reestimated_variance()\n",
"new_std_dev = [sqrt(x) for x in new_var]\n",
"\n",
"state_1_y = [gaussian(i, new_mean[0], new_std_dev[0]) for i in x]\n",
"state_2_y = [gaussian(i, new_mean[1], new_std_dev[1]) for i in x]\n",
"\n",
"plt.plot(x, state_1_y, c='r', label=\"State 1\")\n",
"plt.plot(x, state_2_y, c='b', label=\"State 2\")\n",
"\n",
"plt.legend()\n",
"plt.title(\"Re-estimated Probability Density Functions\")\n",
"\n",
"plt.xlabel(x_label)\n",
"plt.ylabel(y_label)\n",
"plt.grid(linestyle=\"--\")\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"plt.show()"
]
},
{
"source": [
"# Compare PDFs (7)"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:51:01.565307</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \nL 417.6 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 60.773011 243.24375 \nL 60.773011 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mdf53c47469\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"60.773011\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 4 -->\n <g transform=\"translate(53.401918 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 117.412216 243.24375 \nL 117.412216 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.412216\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(110.041122 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 174.05142 243.24375 \nL 174.05142 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"174.05142\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 0 -->\n <g transform=\"translate(170.87017 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 230.690625 243.24375 \nL 230.690625 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"230.690625\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 2 -->\n <g transform=\"translate(227.509375 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 287.32983 243.24375 \nL 287.32983 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.32983\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 4 -->\n <g transform=\"translate(284.14858 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 343.969034 243.24375 \nL 343.969034 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"343.969034\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(340.787784 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 400.608239 243.24375 \nL 400.608239 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"400.608239\" xlink:href=\"#mdf53c47469\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 8 -->\n <g transform=\"translate(397.426989 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- Observation Space -->\n <g transform=\"translate(183.415625 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"704.199219\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"767.675781\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"828.955078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"883.935547\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 233.201676 \nL 417.6 233.201676 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m165855f780\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"233.201676\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 0.0 -->\n <g transform=\"translate(20.878125 237.000895)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 202.234745 \nL 417.6 202.234745 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"202.234745\"/>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- 0.1 -->\n <g transform=\"translate(20.878125 206.033964)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 171.267814 \nL 417.6 171.267814 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"171.267814\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 0.2 -->\n <g transform=\"translate(20.878125 175.067033)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 140.300883 \nL 417.6 140.300883 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"140.300883\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 0.3 -->\n <g transform=\"translate(20.878125 144.100102)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-51\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 109.333952 \nL 417.6 109.333952 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"109.333952\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 0.4 -->\n <g transform=\"translate(20.878125 113.13317)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_6\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 78.367021 \nL 417.6 78.367021 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"78.367021\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 0.5 -->\n <g transform=\"translate(20.878125 82.166239)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-53\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_7\">\n <g id=\"line2d_27\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 43.78125 47.400089 \nL 417.6 47.400089 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_28\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m165855f780\" y=\"47.400089\"/>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- 0.6 -->\n <g transform=\"translate(20.878125 51.199308)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"text_16\">\n <!-- Probability Density -->\n <g transform=\"translate(14.798438 179.8075)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"222.074219\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"283.353516\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"346.830078\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"374.613281\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"402.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"430.179688\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"469.388672\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"528.568359\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"560.355469\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"637.357422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"762.259766\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"814.359375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"842.142578\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"881.351562\" xlink:href=\"#DejaVuSans-121\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_29\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 60.773011 233.184189 \nL 80.094747 233.042689 \nL 90.323901 232.752883 \nL 97.143337 232.349279 \nL 102.8262 231.790937 \nL 107.372491 231.132744 \nL 111.918781 230.221285 \nL 115.328499 229.328494 \nL 118.738217 228.218682 \nL 122.147935 226.855079 \nL 125.557653 225.199293 \nL 128.967371 223.212591 \nL 132.377089 220.857557 \nL 135.786807 218.100096 \nL 139.196525 214.91172 \nL 142.606243 211.272067 \nL 146.015961 207.171502 \nL 149.425679 202.613667 \nL 152.835397 197.617796 \nL 156.245115 192.220601 \nL 160.791406 184.498667 \nL 166.474269 174.271025 \nL 175.566851 157.772865 \nL 178.976569 151.970946 \nL 182.386287 146.59898 \nL 184.659432 143.325787 \nL 186.932577 140.345273 \nL 189.205723 137.694196 \nL 191.478868 135.405971 \nL 193.752013 133.509965 \nL 196.025159 132.030875 \nL 198.298304 130.988191 \nL 200.571449 130.395768 \nL 201.708022 130.271116 \nL 202.844595 130.261521 \nL 203.981167 130.367016 \nL 205.11774 130.587247 \nL 207.390885 131.368586 \nL 209.664031 132.595122 \nL 211.937176 134.250605 \nL 214.210321 136.313318 \nL 216.483467 138.756548 \nL 218.756612 141.549159 \nL 221.029757 144.656257 \nL 224.439475 149.822944 \nL 227.849193 155.474583 \nL 232.395484 163.518544 \nL 246.034356 188.103577 \nL 249.444074 193.757238 \nL 252.853792 199.0477 \nL 256.26351 203.924801 \nL 259.673228 208.356841 \nL 263.082946 212.329127 \nL 266.492664 215.841952 \nL 269.902382 218.908193 \nL 273.3121 221.550727 \nL 276.721818 223.799844 \nL 280.131536 225.690782 \nL 283.541254 227.261508 \nL 286.950972 228.55081 \nL 290.36069 229.596746 \nL 293.770408 230.435449 \nL 298.316699 231.288559 \nL 302.862989 231.902037 \nL 308.545853 232.420059 \nL 315.365289 232.792445 \nL 324.45787 233.039471 \nL 339.233315 233.170726 \nL 380.149931 233.201559 \nL 400.608239 233.201672 \nL 400.608239 233.201672 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_30\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 60.773011 233.201676 \nL 210.800603 233.099232 \nL 217.620039 232.837307 \nL 222.16633 232.406688 \nL 225.576048 231.822929 \nL 227.849193 231.243902 \nL 230.122339 230.458018 \nL 232.395484 229.406891 \nL 234.668629 228.021627 \nL 236.941775 226.223047 \nL 239.21492 223.922788 \nL 241.488065 221.025487 \nL 243.761211 217.432232 \nL 246.034356 213.045369 \nL 248.307501 207.774677 \nL 250.580647 201.544743 \nL 252.853792 194.303239 \nL 255.126937 186.029596 \nL 257.400083 176.743416 \nL 259.673228 166.511859 \nL 263.082946 149.670128 \nL 267.629237 125.492661 \nL 272.175527 101.433089 \nL 274.448673 90.30367 \nL 276.721818 80.258529 \nL 278.994963 71.645541 \nL 280.131536 67.975534 \nL 281.268109 64.776712 \nL 282.404681 62.079395 \nL 283.541254 59.909462 \nL 284.677827 58.287933 \nL 285.814399 57.230632 \nL 286.950972 56.74793 \nL 288.087545 56.844576 \nL 289.224117 57.519619 \nL 290.36069 58.766422 \nL 291.497263 60.572774 \nL 292.633835 62.921084 \nL 293.770408 65.788673 \nL 294.906981 69.148132 \nL 296.043553 72.967762 \nL 298.316699 81.84232 \nL 300.589844 92.093013 \nL 302.862989 103.367908 \nL 307.40928 127.538331 \nL 311.955571 151.614978 \nL 315.365289 168.278353 \nL 317.638434 178.359211 \nL 319.911579 187.479933 \nL 322.184725 195.581731 \nL 324.45787 202.652246 \nL 326.731015 208.717943 \nL 329.004161 213.835595 \nL 331.277306 218.083638 \nL 333.550451 221.554016 \nL 335.823597 224.344984 \nL 338.096742 226.555162 \nL 340.369887 228.278947 \nL 342.643033 229.603292 \nL 344.916178 230.605712 \nL 347.189323 231.353347 \nL 349.462469 231.902854 \nL 352.872187 232.455231 \nL 356.281905 232.785192 \nL 361.964768 233.054203 \nL 371.057349 233.178068 \nL 400.608239 233.201662 \nL 400.608239 233.201662 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_31\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 60.773011 233.186832 \nL 84.641037 233.038397 \nL 96.006764 232.754891 \nL 103.962773 232.343503 \nL 110.782209 231.750301 \nL 116.465072 231.006182 \nL 121.011363 230.192032 \nL 125.557653 229.133153 \nL 128.967371 228.147502 \nL 132.377089 226.972164 \nL 135.786807 225.583548 \nL 139.196525 223.958249 \nL 142.606243 222.073904 \nL 146.015961 219.910179 \nL 149.425679 217.449883 \nL 152.835397 214.680159 \nL 156.245115 211.593726 \nL 159.654833 208.190101 \nL 163.064551 204.476747 \nL 166.474269 200.470067 \nL 171.02056 194.718156 \nL 175.566851 188.582576 \nL 182.386287 178.936067 \nL 190.342295 167.668876 \nL 194.888586 161.596612 \nL 198.298304 157.373661 \nL 201.708022 153.529607 \nL 203.981167 151.2176 \nL 206.254313 149.13235 \nL 208.527458 147.294336 \nL 210.800603 145.721907 \nL 213.073749 144.43098 \nL 215.346894 143.434767 \nL 217.620039 142.743555 \nL 219.893185 142.364526 \nL 222.16633 142.301634 \nL 224.439475 142.555537 \nL 226.712621 143.123582 \nL 228.985766 143.999857 \nL 231.258911 145.175288 \nL 233.532057 146.6378 \nL 235.805202 148.372518 \nL 238.078347 150.362024 \nL 240.351493 152.586646 \nL 243.761211 156.316721 \nL 247.170929 160.447628 \nL 251.717219 166.432734 \nL 257.400083 174.392203 \nL 268.765809 190.467041 \nL 273.3121 196.498335 \nL 277.858391 202.115321 \nL 281.268109 206.006609 \nL 284.677827 209.596843 \nL 288.087545 212.873323 \nL 291.497263 215.831913 \nL 294.906981 218.475973 \nL 298.316699 220.815174 \nL 301.726417 222.864266 \nL 305.136135 224.641844 \nL 308.545853 226.169184 \nL 311.955571 227.469181 \nL 315.365289 228.565408 \nL 319.911579 229.75052 \nL 324.45787 230.668302 \nL 329.004161 231.367789 \nL 334.687024 232.00096 \nL 341.50646 232.499865 \nL 349.462469 232.841187 \nL 360.828195 233.072445 \nL 379.013358 233.180796 \nL 400.608239 233.199883 \nL 400.608239 233.199883 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_32\">\n <path clip-path=\"url(#p76fff50835)\" d=\"M 60.773011 233.201676 \nL 222.16633 233.096574 \nL 227.849193 232.847291 \nL 231.258911 232.503461 \nL 233.532057 232.127488 \nL 235.805202 231.57699 \nL 238.078347 230.785896 \nL 240.351493 229.670302 \nL 242.624638 228.126765 \nL 243.761211 227.156691 \nL 244.897783 226.0318 \nL 246.034356 224.733738 \nL 247.170929 223.24319 \nL 248.307501 221.540065 \nL 249.444074 219.603726 \nL 250.580647 217.413283 \nL 251.717219 214.947928 \nL 252.853792 212.187335 \nL 253.990365 209.112102 \nL 256.26351 201.947745 \nL 258.536655 193.33788 \nL 260.809801 183.215362 \nL 263.082946 171.581627 \nL 265.356091 158.523891 \nL 267.629237 144.22846 \nL 271.038955 121.13327 \nL 276.721818 82.014359 \nL 278.994963 67.786428 \nL 281.268109 55.277819 \nL 282.404681 49.848714 \nL 283.541254 45.057278 \nL 284.677827 40.961449 \nL 285.814399 37.611577 \nL 286.950972 35.049394 \nL 288.087545 33.307149 \nL 289.224117 32.406929 \nL 290.36069 32.360199 \nL 291.497263 33.167555 \nL 292.633835 34.818712 \nL 293.770408 37.292724 \nL 294.906981 40.558422 \nL 296.043553 44.575072 \nL 297.180126 49.293218 \nL 298.316699 54.655697 \nL 300.589844 67.053466 \nL 302.862989 81.203028 \nL 306.272707 104.383266 \nL 311.955571 143.417334 \nL 314.228716 157.772913 \nL 316.501861 170.904002 \nL 318.775007 182.618611 \nL 321.048152 192.82441 \nL 323.321297 201.515695 \nL 325.594443 208.756349 \nL 327.867588 214.661108 \nL 329.004161 217.157736 \nL 330.140733 219.377201 \nL 331.277306 221.340278 \nL 332.413879 223.067866 \nL 333.550451 224.580645 \nL 334.687024 225.898777 \nL 336.960169 228.027796 \nL 339.233315 229.598082 \nL 341.50646 230.734195 \nL 343.779605 231.540674 \nL 346.052751 232.102455 \nL 349.462469 232.628511 \nL 352.872187 232.914055 \nL 358.55505 233.117978 \nL 368.784204 233.194739 \nL 400.608239 233.201676 \nL 400.608239 233.201676 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 43.78125 243.24375 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 417.6 243.24375 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 43.78125 243.24375 \nL 417.6 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 43.78125 22.318125 \nL 417.6 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_17\">\n <!-- Re-estimated Probability Density Functions -->\n <g transform=\"translate(101.835 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 44.390625 34.1875 \nQ 47.5625 33.109375 50.5625 29.59375 \nQ 53.5625 26.078125 56.59375 19.921875 \nL 66.609375 0 \nL 56 0 \nL 46.6875 18.703125 \nQ 43.0625 26.03125 39.671875 28.421875 \nQ 36.28125 30.8125 30.421875 30.8125 \nL 19.671875 30.8125 \nL 19.671875 0 \nL 9.8125 0 \nL 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.578125 72.90625 50.734375 67.671875 \nQ 56.890625 62.453125 56.890625 51.90625 \nQ 56.890625 45.015625 53.6875 40.46875 \nQ 50.484375 35.9375 44.390625 34.1875 \nz\nM 19.671875 64.796875 \nL 19.671875 38.921875 \nL 32.078125 38.921875 \nQ 39.203125 38.921875 42.84375 42.21875 \nQ 46.484375 45.515625 46.484375 51.90625 \nQ 46.484375 58.296875 42.84375 61.546875 \nQ 39.203125 64.796875 32.078125 64.796875 \nz\n\" id=\"DejaVuSans-82\"/>\n <path d=\"M 4.890625 31.390625 \nL 31.203125 31.390625 \nL 31.203125 23.390625 \nL 4.890625 23.390625 \nz\n\" id=\"DejaVuSans-45\"/>\n <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-82\"/>\n <use x=\"64.982422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"126.505859\" xlink:href=\"#DejaVuSans-45\"/>\n <use x=\"162.589844\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"224.113281\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"276.212891\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"315.421875\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"343.205078\" xlink:href=\"#DejaVuSans-109\"/>\n <use x=\"440.617188\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"501.896484\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"541.105469\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"602.628906\" xlink:href=\"#DejaVuSans-100\"/>\n <use x=\"666.105469\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"697.892578\" xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"756.445312\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"795.308594\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"856.490234\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"919.966797\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"981.246094\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"1044.722656\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1072.505859\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"1100.289062\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1128.072266\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1167.28125\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"1226.460938\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1258.248047\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"1335.25\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1396.773438\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1460.152344\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"1512.251953\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1540.035156\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1579.244141\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"1638.423828\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1670.210938\" xlink:href=\"#DejaVuSans-70\"/>\n <use x=\"1722.230469\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"1785.609375\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1848.988281\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"1903.96875\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1943.177734\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1970.960938\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"2032.142578\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"2095.521484\" xlink:href=\"#DejaVuSans-115\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 317.598437 89.030625 \nL 410.6 89.030625 \nQ 412.6 89.030625 412.6 87.030625 \nL 412.6 29.318125 \nQ 412.6 27.318125 410.6 27.318125 \nL 317.598437 27.318125 \nQ 315.598437 27.318125 315.598437 29.318125 \nL 315.598437 87.030625 \nQ 315.598437 89.030625 317.598437 89.030625 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_33\">\n <path d=\"M 319.598437 35.416562 \nL 339.598437 35.416562 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_34\"/>\n <g id=\"text_18\">\n <!-- State 1 -->\n <g transform=\"translate(347.598437 38.916562)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_35\">\n <path d=\"M 319.598437 50.094687 \nL 339.598437 50.094687 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_36\"/>\n <g id=\"text_19\">\n <!-- State 2 -->\n <g transform=\"translate(347.598437 53.594687)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n <g id=\"line2d_37\">\n <path d=\"M 319.598437 64.772812 \nL 339.598437 64.772812 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_38\"/>\n <g id=\"text_20\">\n <!-- New State 1 -->\n <g transform=\"translate(347.598437 68.272812)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 23.09375 72.90625 \nL 55.421875 11.921875 \nL 55.421875 72.90625 \nL 64.984375 72.90625 \nL 64.984375 0 \nL 51.703125 0 \nL 19.390625 60.984375 \nL 19.390625 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-78\"/>\n <path d=\"M 4.203125 54.6875 \nL 13.1875 54.6875 \nL 24.421875 12.015625 \nL 35.59375 54.6875 \nL 46.1875 54.6875 \nL 57.421875 12.015625 \nL 68.609375 54.6875 \nL 77.59375 54.6875 \nL 63.28125 0 \nL 52.6875 0 \nL 40.921875 44.828125 \nL 29.109375 0 \nL 18.5 0 \nz\n\" id=\"DejaVuSans-119\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-78\"/>\n <use x=\"74.804688\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"136.328125\" xlink:href=\"#DejaVuSans-119\"/>\n <use x=\"218.115234\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"249.902344\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"313.378906\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"352.587891\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"413.867188\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"453.076172\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"514.599609\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"546.386719\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_39\">\n <path d=\"M 319.598437 79.450938 \nL 339.598437 79.450938 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n </g>\n <g id=\"line2d_40\"/>\n <g id=\"text_21\">\n <!-- New State 2 -->\n <g transform=\"translate(347.598437 82.950938)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-78\"/>\n <use x=\"74.804688\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"136.328125\" xlink:href=\"#DejaVuSans-119\"/>\n <use x=\"218.115234\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"249.902344\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"313.378906\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"352.587891\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"413.867188\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"453.076172\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"514.599609\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"546.386719\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"p76fff50835\">\n <rect height=\"220.925625\" width=\"373.81875\" x=\"43.78125\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"new_mean = model.reestimated_mean()\n",
"new_var = model.reestimated_variance()\n",
"new_std_dev = [sqrt(x) for x in new_var]\n",
"\n",
"#######################################\n",
"# Original\n",
"#######################################\n",
"state_1_y = [gaussian(i, state1.mean, state1.std_dev) for i in x]\n",
"state_2_y = [gaussian(i, state2.mean, state2.std_dev) for i in x]\n",
"plt.plot(x, state_1_y, '--', c='r', label=\"State 1\", linewidth=1.0)\n",
"plt.plot(x, state_2_y, '--', c='b', label=\"State 2\", linewidth=1.0)\n",
"\n",
"#######################################\n",
"# Re-Estimated\n",
"#######################################\n",
"state_1_new_y = [gaussian(i, new_mean[0], new_std_dev[0]) for i in x]\n",
"state_2_new_y = [gaussian(i, new_mean[1], new_std_dev[1]) for i in x]\n",
"plt.plot(x, state_1_new_y, c='r', label=\"New State 1\")\n",
"plt.plot(x, state_2_new_y, c='b', label=\"New State 2\")\n",
"\n",
"plt.legend()\n",
"plt.title(\"Re-estimated Probability Density Functions\")\n",
"\n",
"plt.xlabel(x_label)\n",
"plt.ylabel(y_label)\n",
"plt.grid(linestyle=\"--\")\n",
"\n",
"fig = matplotlib.pyplot.gcf()\n",
"fig.set_dpi(fig_dpi)\n",
"fig.set_tight_layout(True)\n",
"if fig_export:\n",
" savefig(\"report/res/re-est-pdfs.png\")\n",
"plt.show()"
]
},
{
"source": [
"# Multiple Iterations"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"mean (0): [1.6747846620246418, 4.089148442531048]\n",
"var (0): [1.8465047320872243, 0.37804421554121403]\n",
"[[0.70176362 0.57084996]\n",
" [1.6956088 0.26442637]]\n",
"\n",
"mean (1): [1.8732627187085478, 4.1264787288916045]\n",
"var (1): [1.741702511836495, 0.3397362903623662]\n",
"[[0.8060609 0.14928497]\n",
" [0.3747969 0.38642879]]\n",
"\n",
"mean (2): [1.9467921888680977, 4.144829018638114]\n",
"var (2): [1.802927096107906, 0.3244337549372125]\n",
"[[0.82078158 0.13830527]\n",
" [0.34355999 0.40237225]]\n",
"\n",
"mean (3): [1.998417533036004, 4.146391356501866]\n",
"var (3): [1.8794907388957407, 0.31336829013095496]\n",
"[[0.82382934 0.12631664]\n",
" [0.34908171 0.40883355]]\n",
"\n",
"mean (4): [2.0403185801109194, 4.137443801197436]\n",
"var (4): [1.9532263949235384, 0.30316834940556364]\n",
"[[0.82663329 0.11372608]\n",
" [0.35679246 0.4179057 ]]\n",
"\n",
"mean (5): [2.0768416135288152, 4.120742753858993]\n",
"var (5): [2.026102075205389, 0.291798571474891]\n",
"[[0.82952161 0.1002526 ]\n",
" [0.36446428 0.43140289]]\n",
"\n",
"mean (6): [2.11194659437116, 4.096434012657846]\n",
"var (6): [2.1032895125514766, 0.2773354097864741]\n",
"[[0.83266361 0.08482054]\n",
" [0.37298205 0.45042633]]\n",
"\n",
"mean (7): [2.149792870100123, 4.062396551986207]\n",
"var (7): [2.191678450688613, 0.2568529817420179]\n",
"[[0.8363706 0.0660714 ]\n",
" [0.3837438 0.47744431]]\n",
"\n",
"mean (8): [2.194489793285685, 4.014103644960269]\n",
"var (8): [2.2986239066545524, 0.22514847051325343]\n",
"[[0.84098808 0.04298428]\n",
" [0.39835926 0.51702684]]\n",
"\n",
"mean (9): [2.246078108416006, 3.9478836679900287]\n",
"var (9): [2.423237858945465, 0.17533830729899114]\n",
"[[0.84636913 0.01806124]\n",
" [0.41572836 0.57245506]]\n",
"\n",
"mean (10): [2.2856592028959346, 3.882184182166453]\n",
"var (10): [2.527476010893805, 0.11675401844606319]\n",
"[[0.85009354 0.00251453]\n",
" [0.420065 0.6209139 ]]\n",
"\n",
"mean (11): [2.290643073016055, 3.8598915740419946]\n",
"var (11): [2.5588220300129474, 0.09296081385828549]\n",
"[[8.49474403e-01 6.94178508e-05]\n",
" [4.04708642e-01 6.12273377e-01]]\n",
"\n",
"mean (12): [2.2914144510257906, 3.8594038663696892]\n",
"var (12): [2.559782940361538, 0.09129358424097164]\n",
"[[8.48816419e-01 2.56744984e-06]\n",
" [4.07814693e-01 5.92792027e-01]]\n",
"\n",
"mean (13): [2.2920722638916136, 3.8597894517174827]\n",
"var (13): [2.559397203251749, 0.09112610156222908]\n",
"[[8.48468970e-01 1.38599620e-07]\n",
" [4.08641855e-01 5.91369797e-01]]\n",
"\n",
"mean (14): [2.2923368298535873, 3.85996676996849]\n",
"var (14): [2.559213392145394, 0.0910669910055963]\n",
"[[8.48421180e-01 7.64719574e-09]\n",
" [4.08579843e-01 5.91420888e-01]]\n",
"\n",
"mean (15): [2.2924457175066317, 3.860041202681166]\n",
"var (15): [2.559136099327699, 0.09104297025788764]\n",
"[[8.48413724e-01 4.22240186e-10]\n",
" [4.08544019e-01 5.91456046e-01]]\n",
"\n",
"mean (16): [2.2924909067581587, 3.8600721725675933]\n",
"var (16): [2.559103947613575, 0.09103301880870453]\n",
"[[8.48411387e-01 2.33175631e-11]\n",
" [4.08528360e-01 5.91471648e-01]]\n",
"\n",
"mean (17): [2.2925096881606515, 3.8600850494050714]\n",
"var (17): [2.5590905823972907, 0.09102888377407325]\n",
"[[8.48410459e-01 1.28774690e-12]\n",
" [4.08521812e-01 5.91478189e-01]]\n",
"\n",
"mean (18): [2.292517496754187, 3.860090403678976]\n",
"var (18): [2.55908502565561, 0.09102716461059344]\n",
"[[8.48410077e-01 7.11193032e-14]\n",
" [4.08519090e-01 5.91480910e-01]]\n",
"\n",
"mean (19): [2.292520743671027, 3.860092630150436]\n",
"var (19): [2.559082715100272, 0.09102644975438301]\n",
"[[8.48409918e-01 3.92779179e-15]\n",
" [4.08517958e-01 5.91482042e-01]]\n",
"\n",
"mean (20): [2.2925220938511153, 3.860093556010955]\n",
"var (20): [2.5590817542930737, 0.09102615249086479]\n",
"[[8.48409852e-01 2.16925735e-16]\n",
" [4.08517488e-01 5.91482512e-01]]\n",
"\n",
"mean (21): [2.292522655314822, 3.8600939410271335]\n",
"var (21): [2.5590813547477076, 0.09102602887540412]\n",
"[[8.48409824e-01 1.19804846e-17]\n",
" [4.08517292e-01 5.91482708e-01]]\n",
"\n",
"mean (22): [2.2925228887980498, 3.8600941011356555]\n",
"var (22): [2.5590811885978098, 0.09102597747017212]\n",
"[[8.48409813e-01 6.61664720e-19]\n",
" [4.08517211e-01 5.91482789e-01]]\n",
"\n",
"mean (23): [2.2925229858918237, 3.8600941677167215]\n",
"var (23): [2.5590811195045364, 0.09102595609334513]\n",
"[[8.48409808e-01 3.65427891e-20]\n",
" [4.08517177e-01 5.91482823e-01]]\n",
"\n",
"mean (24): [2.2925230262682406, 3.8600941954044554]\n",
"var (24): [2.559081090772119, 0.09102594720379605]\n",
"[[8.48409806e-01 2.01820581e-21]\n",
" [4.08517163e-01 5.91482837e-01]]\n",
"\n",
"mean (25): [2.2925230430587726, 3.860094206918401]\n",
"var (25): [2.559081078823743, 0.09102594350707681]\n",
"[[8.48409805e-01 1.11462617e-22]\n",
" [4.08517157e-01 5.91482843e-01]]\n",
"\n",
"mean (26): [2.292523050041117, 3.8600942117064783]\n",
"var (26): [2.55908107385501, 0.0910259419697957]\n",
"[[8.48409805e-01 6.15592084e-24]\n",
" [4.08517154e-01 5.91482846e-01]]\n",
"\n",
"mean (27): [2.2925230529447265, 3.8600942136976]\n",
"var (27): [2.559081071788762, 0.09102594133051709]\n",
"[[8.48409805e-01 3.39982702e-25]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (28): [2.2925230541521926, 3.860094214525609]\n",
"var (28): [2.559081070929512, 0.09102594106467299]\n",
"[[8.48409805e-01 1.87767584e-26]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (29): [2.292523054654318, 3.860094214869936]\n",
"var (29): [2.5590810705721925, 0.09102594095412166]\n",
"[[8.48409805e-01 1.03701351e-27]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (30): [2.2925230548631266, 3.8600942150131257]\n",
"var (30): [2.5590810704236024, 0.09102594090814888]\n",
"[[8.48409805e-01 5.72727731e-29]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (31): [2.29252305494996, 3.8600942150726705]\n",
"var (31): [2.55908107036181, 0.09102594088903106]\n",
"[[8.48409805e-01 3.16309335e-30]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (32): [2.292523054986069, 3.8600942150974324]\n",
"var (32): [2.559081070336114, 0.09102594088108093]\n",
"[[8.48409805e-01 1.74693122e-31]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (33): [2.292523055001086, 3.8600942151077295]\n",
"var (33): [2.559081070325428, 0.09102594087777484]\n",
"[[8.48409805e-01 9.64805129e-33]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (34): [2.2925230550073303, 3.8600942151120115]\n",
"var (34): [2.559081070320984, 0.09102594087640002]\n",
"[[8.48409805e-01 5.32848074e-34]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (35): [2.2925230550099274, 3.860094215113793]\n",
"var (35): [2.5590810703191362, 0.09102594087582833]\n",
"[[8.48409805e-01 2.94284371e-35]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (36): [2.292523055011007, 3.8600942151145334]\n",
"var (36): [2.5590810703183675, 0.09102594087559052]\n",
"[[8.48409805e-01 1.62529049e-36]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (37): [2.292523055011456, 3.8600942151148416]\n",
"var (37): [2.559081070318048, 0.09102594087549164]\n",
"[[8.48409805e-01 8.97624695e-38]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (38): [2.292523055011643, 3.860094215114969]\n",
"var (38): [2.5590810703179154, 0.09102594087545052]\n",
"[[8.48409805e-01 4.95745282e-39]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (39): [2.2925230550117206, 3.8600942151150224]\n",
"var (39): [2.5590810703178604, 0.09102594087543343]\n",
"[[8.48409805e-01 2.73793029e-40]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (40): [2.2925230550117526, 3.860094215115045]\n",
"var (40): [2.5590810703178373, 0.09102594087542634]\n",
"[[8.48409805e-01 1.51211974e-41]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (41): [2.2925230550117663, 3.860094215115054]\n",
"var (41): [2.559081070317828, 0.09102594087542336]\n",
"[[8.48409805e-01 8.35122109e-43]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (42): [2.2925230550117717, 3.8600942151150575]\n",
"var (42): [2.559081070317824, 0.09102594087542212]\n",
"[[8.48409805e-01 4.61225997e-44]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (43): [2.292523055011774, 3.860094215115059]\n",
"var (43): [2.5590810703178217, 0.09102594087542162]\n",
"[[8.48409805e-01 2.54728522e-45]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (44): [2.292523055011775, 3.8600942151150592]\n",
"var (44): [2.5590810703178217, 0.09102594087542144]\n",
"[[8.48409805e-01 1.40682920e-46]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (45): [2.2925230550117752, 3.8600942151150592]\n",
"var (45): [2.5590810703178213, 0.09102594087542136]\n",
"[[8.48409805e-01 7.76971646e-48]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (46): [2.2925230550117752, 3.86009421511506]\n",
"var (46): [2.5590810703178213, 0.09102594087542135]\n",
"[[8.48409805e-01 4.29110328e-49]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (47): [2.2925230550117752, 3.86009421511506]\n",
"var (47): [2.559081070317821, 0.0910259408754213]\n",
"[[8.48409805e-01 2.36991497e-50]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (48): [2.2925230550117757, 3.86009421511506]\n",
"var (48): [2.5590810703178213, 0.09102594087542129]\n",
"[[8.48409805e-01 1.30887015e-51]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n",
"mean (49): [2.2925230550117752, 3.8600942151150606]\n",
"var (49): [2.5590810703178213, 0.09102594087542129]\n",
"[[8.48409805e-01 7.22870263e-53]\n",
" [4.08517153e-01 5.91482847e-01]]\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"280.8pt\" version=\"1.1\" viewBox=\"0 0 424.8 280.8\" width=\"424.8pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n <cc:Work>\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n <dc:date>2021-01-05T10:51:02.252762</dc:date>\n <dc:format>image/svg+xml</dc:format>\n <dc:creator>\n <cc:Agent>\n <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n </cc:Agent>\n </dc:creator>\n </cc:Work>\n </rdf:RDF>\n </metadata>\n <defs>\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n <g id=\"patch_1\">\n <path d=\"M 0 280.8 \nL 424.8 280.8 \nL 424.8 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n </g>\n <g id=\"axes_1\">\n <g id=\"patch_2\">\n <path d=\"M 43.78125 243.24375 \nL 414.41875 243.24375 \nL 414.41875 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n </g>\n <g id=\"matplotlib.axis_1\">\n <g id=\"xtick_1\">\n <g id=\"line2d_1\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_2\">\n <defs>\n <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m106450c27e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_1\">\n <!-- 4 -->\n <g transform=\"translate(36.410156 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.59375 35.5 \nL 73.1875 35.5 \nL 73.1875 27.203125 \nL 10.59375 27.203125 \nz\n\" id=\"DejaVuSans-8722\"/>\n <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_2\">\n <g id=\"line2d_3\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 105.554167 243.24375 \nL 105.554167 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_4\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"105.554167\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_2\">\n <!-- 2 -->\n <g transform=\"translate(98.183073 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-8722\"/>\n <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_3\">\n <g id=\"line2d_5\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 167.327083 243.24375 \nL 167.327083 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_6\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"167.327083\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_3\">\n <!-- 0 -->\n <g transform=\"translate(164.145833 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_4\">\n <g id=\"line2d_7\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 229.1 243.24375 \nL 229.1 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_8\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"229.1\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_4\">\n <!-- 2 -->\n <g transform=\"translate(225.91875 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_5\">\n <g id=\"line2d_9\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 290.872917 243.24375 \nL 290.872917 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_10\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"290.872917\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_5\">\n <!-- 4 -->\n <g transform=\"translate(287.691667 257.842188)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_6\">\n <g id=\"line2d_11\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 352.645833 243.24375 \nL 352.645833 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_12\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"352.645833\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_6\">\n <!-- 6 -->\n <g transform=\"translate(349.464583 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"xtick_7\">\n <g id=\"line2d_13\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 414.41875 243.24375 \nL 414.41875 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_14\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"414.41875\" xlink:href=\"#m106450c27e\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_7\">\n <!-- 8 -->\n <g transform=\"translate(411.2375 257.842188)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"text_8\">\n <!-- Observation Space -->\n <g transform=\"translate(181.825 271.520312)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n <path id=\"DejaVuSans-32\"/>\n <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-79\"/>\n <use x=\"78.710938\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"142.1875\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"194.287109\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"255.810547\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"296.923828\" xlink:href=\"#DejaVuSans-118\"/>\n <use x=\"356.103516\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"417.382812\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"456.591797\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"484.375\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"545.556641\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"608.935547\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"640.722656\" xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"704.199219\" xlink:href=\"#DejaVuSans-112\"/>\n <use x=\"767.675781\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"828.955078\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"883.935547\" xlink:href=\"#DejaVuSans-101\"/>\n </g>\n </g>\n </g>\n <g id=\"matplotlib.axis_2\">\n <g id=\"ytick_1\">\n <g id=\"line2d_15\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_16\">\n <defs>\n <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m984dac5a8d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n </defs>\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"243.24375\"/>\n </g>\n </g>\n <g id=\"text_9\">\n <!-- 0.0 -->\n <g transform=\"translate(20.878125 247.042969)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_2\">\n <g id=\"line2d_17\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 209.82131 \nL 414.41875 209.82131 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_18\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"209.82131\"/>\n </g>\n </g>\n <g id=\"text_10\">\n <!-- 0.2 -->\n <g transform=\"translate(20.878125 213.620529)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_3\">\n <g id=\"line2d_19\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 176.39887 \nL 414.41875 176.39887 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_20\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"176.39887\"/>\n </g>\n </g>\n <g id=\"text_11\">\n <!-- 0.4 -->\n <g transform=\"translate(20.878125 180.198089)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_4\">\n <g id=\"line2d_21\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 142.97643 \nL 414.41875 142.97643 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_22\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"142.97643\"/>\n </g>\n </g>\n <g id=\"text_12\">\n <!-- 0.6 -->\n <g transform=\"translate(20.878125 146.775649)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_5\">\n <g id=\"line2d_23\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 109.553991 \nL 414.41875 109.553991 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_24\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"109.553991\"/>\n </g>\n </g>\n <g id=\"text_13\">\n <!-- 0.8 -->\n <g transform=\"translate(20.878125 113.353209)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-48\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-56\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_6\">\n <g id=\"line2d_25\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 76.131551 \nL 414.41875 76.131551 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_26\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"76.131551\"/>\n </g>\n </g>\n <g id=\"text_14\">\n <!-- 1.0 -->\n <g transform=\"translate(20.878125 79.930769)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n </g>\n </g>\n </g>\n <g id=\"ytick_7\">\n <g id=\"line2d_27\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 42.709111 \nL 414.41875 42.709111 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-dasharray:2.96,1.28;stroke-dashoffset:0;stroke-width:0.8;\"/>\n </g>\n <g id=\"line2d_28\">\n <g>\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m984dac5a8d\" y=\"42.709111\"/>\n </g>\n </g>\n <g id=\"text_15\">\n <!-- 1.2 -->\n <g transform=\"translate(20.878125 46.50833)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-49\"/>\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n <g id=\"text_16\">\n <!-- Probability Density -->\n <g transform=\"translate(14.798438 179.8075)rotate(-90)scale(0.1 -0.1)\">\n <defs>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"222.074219\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"283.353516\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"346.830078\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"374.613281\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"402.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"430.179688\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"469.388672\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"528.568359\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"560.355469\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"637.357422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"762.259766\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"814.359375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"842.142578\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"881.351562\" xlink:href=\"#DejaVuSans-121\"/>\n </g>\n </g>\n </g>\n <g id=\"line2d_29\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.234313 \nL 69.812646 243.106145 \nL 82.208549 242.829241 \nL 90.885681 242.40456 \nL 97.083633 241.900703 \nL 103.281584 241.153598 \nL 108.239946 240.325631 \nL 113.198307 239.241948 \nL 116.917078 238.231654 \nL 120.635849 237.02918 \nL 124.35462 235.615398 \nL 128.07339 233.97378 \nL 131.792161 232.09172 \nL 135.510932 229.961934 \nL 139.229703 227.583852 \nL 142.948474 224.964921 \nL 146.667245 222.121715 \nL 151.625606 218.029193 \nL 157.823558 212.563019 \nL 170.219461 201.47411 \nL 173.938232 198.411919 \nL 177.657003 195.607213 \nL 181.375773 193.134045 \nL 183.854954 191.703399 \nL 186.334135 190.468564 \nL 188.813315 189.44539 \nL 191.292496 188.647203 \nL 193.771676 188.084522 \nL 196.250857 187.764822 \nL 198.730038 187.692376 \nL 201.209218 187.868153 \nL 203.688399 188.289801 \nL 206.167579 188.951697 \nL 208.64676 189.845074 \nL 211.125941 190.958212 \nL 213.605121 192.276694 \nL 216.084302 193.783719 \nL 219.803073 196.356122 \nL 223.521844 199.239958 \nL 228.480205 203.439303 \nL 235.917747 210.129085 \nL 243.355288 216.781854 \nL 248.31365 220.960816 \nL 253.272011 224.81265 \nL 256.990782 227.444564 \nL 260.709553 229.836302 \nL 264.428324 231.979936 \nL 268.147094 233.875622 \nL 271.865865 235.530311 \nL 275.584636 236.956347 \nL 279.303407 238.170077 \nL 283.022178 239.190516 \nL 287.980539 240.285922 \nL 292.938901 241.123575 \nL 297.897262 241.750963 \nL 304.095213 242.304891 \nL 311.532755 242.725078 \nL 321.449477 243.022909 \nL 335.084971 243.183014 \nL 363.595548 243.241112 \nL 414.41875 243.243748 \nL 414.41875 243.243748 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_30\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 211.125941 243.137935 \nL 218.563482 242.889012 \nL 223.521844 242.499713 \nL 227.240615 241.990984 \nL 230.959385 241.195905 \nL 233.438566 240.448351 \nL 235.917747 239.477752 \nL 238.396927 238.236423 \nL 240.876108 236.672903 \nL 243.355288 234.733812 \nL 245.834469 232.366454 \nL 248.31365 229.522139 \nL 250.79283 226.160172 \nL 253.272011 222.252315 \nL 255.751191 217.787465 \nL 258.230372 212.776204 \nL 260.709553 207.254772 \nL 263.188733 201.288036 \nL 266.907504 191.718929 \nL 274.345046 172.135192 \nL 276.824227 166.129231 \nL 279.303407 160.708397 \nL 281.782588 156.060422 \nL 283.022178 154.079913 \nL 284.261768 152.353677 \nL 285.501359 150.898078 \nL 286.740949 149.727079 \nL 287.980539 148.852026 \nL 289.22013 148.281456 \nL 290.45972 148.020967 \nL 291.69931 148.073122 \nL 292.938901 148.437407 \nL 294.178491 149.110241 \nL 295.418081 150.085034 \nL 296.657671 151.352293 \nL 297.897262 152.899779 \nL 299.136852 154.712702 \nL 300.376442 156.773955 \nL 302.855623 161.563086 \nL 305.334804 167.094845 \nL 307.813984 173.179311 \nL 312.772345 186.222814 \nL 317.730707 199.215711 \nL 321.449477 208.208056 \nL 323.928658 213.648163 \nL 326.407839 218.570136 \nL 328.887019 222.942249 \nL 331.3662 226.757833 \nL 333.84538 230.03117 \nL 336.324561 232.792897 \nL 338.803742 235.085342 \nL 341.282922 236.958122 \nL 343.762103 238.46426 \nL 346.241283 239.656977 \nL 348.720464 240.587213 \nL 351.199645 241.301892 \nL 354.918416 242.05972 \nL 358.637186 242.542844 \nL 363.595548 242.911038 \nL 369.793499 243.122003 \nL 380.949812 243.227546 \nL 414.41875 243.243742 \nL 414.41875 243.243742 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_31\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.235739 \nL 74.771008 243.110565 \nL 88.406501 242.857751 \nL 98.323223 242.460519 \nL 105.760765 241.960072 \nL 111.958717 241.352087 \nL 118.156668 240.516279 \nL 123.115029 239.645641 \nL 128.07339 238.562876 \nL 133.031752 237.238678 \nL 137.990113 235.646646 \nL 142.948474 233.765754 \nL 147.906835 231.583078 \nL 152.865196 229.096593 \nL 157.823558 226.317787 \nL 162.781919 223.273837 \nL 168.97987 219.165174 \nL 177.657003 213.080645 \nL 186.334135 207.039611 \nL 191.292496 203.822728 \nL 195.011267 201.606953 \nL 198.730038 199.610536 \nL 202.448809 197.875967 \nL 206.167579 196.441325 \nL 209.88635 195.338886 \nL 212.365531 194.801283 \nL 214.844712 194.428272 \nL 217.323892 194.22373 \nL 219.803073 194.18979 \nL 222.282253 194.326808 \nL 224.761434 194.633352 \nL 227.240615 195.106231 \nL 229.719795 195.74055 \nL 233.438566 196.980053 \nL 237.157337 198.539557 \nL 240.876108 200.384296 \nL 244.594879 202.474243 \nL 249.55324 205.566127 \nL 255.751191 209.766893 \nL 273.105456 221.834056 \nL 278.063817 224.983557 \nL 283.022178 227.885602 \nL 287.980539 230.505466 \nL 292.938901 232.824857 \nL 297.897262 234.840045 \nL 302.855623 236.559408 \nL 307.813984 238.000687 \nL 312.772345 239.188197 \nL 317.730707 240.150225 \nL 322.689068 240.916753 \nL 328.887019 241.645298 \nL 336.324561 242.254098 \nL 345.001693 242.700092 \nL 356.158006 243.007397 \nL 372.27268 243.181112 \nL 404.502028 243.240923 \nL 414.41875 243.242782 \nL 414.41875 243.242782 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_32\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 222.282253 243.150335 \nL 228.480205 242.941909 \nL 232.198976 242.664067 \nL 235.917747 242.172357 \nL 238.396927 241.664192 \nL 240.876108 240.954352 \nL 243.355288 239.98159 \nL 245.834469 238.67405 \nL 248.31365 236.950593 \nL 250.79283 234.723587 \nL 253.272011 231.903418 \nL 255.751191 228.404838 \nL 258.230372 224.155029 \nL 260.709553 219.103039 \nL 263.188733 213.229897 \nL 265.667914 206.558464 \nL 268.147094 199.161826 \nL 271.865865 187.005008 \nL 280.542997 157.721202 \nL 283.022178 150.466811 \nL 285.501359 144.297824 \nL 286.740949 141.712138 \nL 287.980539 139.501835 \nL 289.22013 137.694086 \nL 290.45972 136.311412 \nL 291.69931 135.371213 \nL 292.938901 134.885412 \nL 294.178491 134.860194 \nL 295.418081 135.295882 \nL 296.657671 136.186925 \nL 297.897262 137.522018 \nL 299.136852 139.284343 \nL 300.376442 141.451917 \nL 301.616033 143.998052 \nL 302.855623 146.891899 \nL 305.334804 153.582321 \nL 307.813984 161.218094 \nL 311.532755 173.727246 \nL 317.730707 194.791875 \nL 320.209887 202.538824 \nL 322.689068 209.62498 \nL 325.168248 215.946737 \nL 327.647429 221.454268 \nL 330.12661 226.144497 \nL 332.60579 230.051896 \nL 335.084971 233.238383 \nL 337.564151 235.78341 \nL 340.043332 237.775067 \nL 342.522513 239.30276 \nL 345.001693 240.45168 \nL 347.480874 241.29908 \nL 349.960054 241.912181 \nL 353.678825 242.51301 \nL 357.397596 242.85782 \nL 362.355957 243.088536 \nL 371.033089 243.216993 \nL 397.064486 243.243711 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_33\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.241222 \nL 83.44814 243.124097 \nL 97.083633 242.881685 \nL 107.000355 242.488692 \nL 114.437897 241.983355 \nL 120.635849 241.360532 \nL 126.8338 240.494252 \nL 131.792161 239.583537 \nL 136.750523 238.442734 \nL 141.708884 237.038865 \nL 146.667245 235.342274 \nL 150.386016 233.863338 \nL 154.104787 232.19989 \nL 157.823558 230.349229 \nL 162.781919 227.594457 \nL 167.74028 224.530118 \nL 172.698641 221.194425 \nL 178.896593 216.734035 \nL 196.250857 203.977892 \nL 201.209218 200.752257 \nL 204.927989 198.595956 \nL 208.64676 196.719079 \nL 212.365531 195.165138 \nL 214.844712 194.327163 \nL 217.323892 193.658347 \nL 219.803073 193.165977 \nL 222.282253 192.855458 \nL 224.761434 192.730219 \nL 227.240615 192.791646 \nL 229.719795 193.039059 \nL 232.198976 193.469723 \nL 234.678156 194.078899 \nL 237.157337 194.859932 \nL 240.876108 196.334769 \nL 244.594879 198.14161 \nL 248.31365 200.23829 \nL 252.032421 202.577386 \nL 256.990782 205.985014 \nL 264.428324 211.462698 \nL 275.584636 219.722077 \nL 280.542997 223.155745 \nL 285.501359 226.340148 \nL 290.45972 229.22867 \nL 295.418081 231.794271 \nL 299.136852 233.500335 \nL 302.855623 235.020907 \nL 307.813984 236.770136 \nL 312.772345 238.222111 \nL 317.730707 239.405635 \nL 322.689068 240.353307 \nL 327.647429 241.098961 \nL 333.84538 241.797068 \nL 341.282922 242.368957 \nL 349.960054 242.777357 \nL 361.116367 243.049376 \nL 377.231041 243.19565 \nL 414.41875 243.242694 \nL 414.41875 243.242694 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_34\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 227.240615 243.143256 \nL 233.438566 242.899137 \nL 237.157337 242.561823 \nL 239.636518 242.194094 \nL 242.115698 241.658419 \nL 244.594879 240.894353 \nL 247.074059 239.827442 \nL 249.55324 238.369347 \nL 252.032421 236.419581 \nL 253.272011 235.2265 \nL 254.511601 233.869382 \nL 255.751191 232.334383 \nL 256.990782 230.608086 \nL 258.230372 228.677842 \nL 259.469962 226.53215 \nL 261.949143 221.55663 \nL 264.428324 215.628459 \nL 266.907504 208.740402 \nL 269.386685 200.944104 \nL 271.865865 192.360351 \nL 275.584636 178.456064 \nL 280.542997 159.576684 \nL 283.022178 150.831106 \nL 285.501359 143.088864 \nL 286.740949 139.71667 \nL 287.980539 136.73709 \nL 289.22013 134.190017 \nL 290.45972 132.110178 \nL 291.69931 130.526344 \nL 292.938901 129.460675 \nL 294.178491 128.928197 \nL 295.418081 128.936456 \nL 296.657671 129.485333 \nL 297.897262 130.567054 \nL 299.136852 132.166366 \nL 300.376442 134.260903 \nL 301.616033 136.821698 \nL 302.855623 139.813857 \nL 304.095213 143.197343 \nL 306.574394 150.957872 \nL 309.053574 159.715596 \nL 314.011936 178.601002 \nL 317.730707 192.496186 \nL 320.209887 201.069215 \nL 322.689068 208.852394 \nL 325.168248 215.726047 \nL 327.647429 221.639512 \nL 330.12661 226.600827 \nL 332.60579 230.663649 \nL 333.84538 232.383925 \nL 335.084971 233.913301 \nL 337.564151 236.453515 \nL 340.043332 238.394986 \nL 342.522513 239.846394 \nL 345.001693 240.908061 \nL 347.480874 241.668125 \nL 349.960054 242.200821 \nL 353.678825 242.701731 \nL 358.637186 243.031816 \nL 366.074728 243.198802 \nL 383.428992 243.243129 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_35\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.241017 \nL 83.44814 243.124172 \nL 97.083633 242.888935 \nL 107.000355 242.512539 \nL 114.437897 242.032378 \nL 120.635849 241.443622 \nL 126.8338 240.6278 \nL 131.792161 239.772337 \nL 136.750523 238.702502 \nL 141.708884 237.387276 \nL 146.667245 235.798328 \nL 151.625606 233.912614 \nL 156.583967 231.715278 \nL 161.542329 229.202651 \nL 166.50069 226.38511 \nL 171.459051 223.289472 \nL 177.657003 219.098984 \nL 186.334135 212.874856 \nL 195.011267 206.682318 \nL 199.969628 203.383396 \nL 203.688399 201.112373 \nL 207.40717 199.068582 \nL 211.125941 197.296575 \nL 214.844712 195.836206 \nL 217.323892 195.052679 \nL 219.803073 194.430951 \nL 222.282253 193.977572 \nL 224.761434 193.697356 \nL 227.240615 193.593293 \nL 229.719795 193.666496 \nL 232.198976 193.916182 \nL 234.678156 194.339685 \nL 237.157337 194.932504 \nL 239.636518 195.688384 \nL 243.355288 197.110239 \nL 247.074059 198.847986 \nL 250.79283 200.862418 \nL 254.511601 203.109448 \nL 259.469962 206.38517 \nL 265.667914 210.765897 \nL 279.303407 220.516289 \nL 285.501359 224.598852 \nL 290.45972 227.584052 \nL 295.418081 230.277964 \nL 300.376442 232.660809 \nL 305.334804 234.728332 \nL 310.293165 236.489181 \nL 315.251526 237.961956 \nL 320.209887 239.172224 \nL 325.168248 240.149715 \nL 330.12661 240.925901 \nL 336.324561 241.660479 \nL 343.762103 242.270744 \nL 352.439235 242.714352 \nL 363.595548 243.016769 \nL 379.710222 243.184967 \nL 413.17916 243.241557 \nL 414.41875 243.241832 \nL 414.41875 243.241832 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_36\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 228.480205 243.158353 \nL 234.678156 242.937535 \nL 238.396927 242.623022 \nL 242.115698 242.040455 \nL 244.594879 241.418854 \nL 247.074059 240.530563 \nL 249.55324 239.289203 \nL 252.032421 237.59322 \nL 253.272011 236.539484 \nL 254.511601 235.328638 \nL 255.751191 233.945381 \nL 256.990782 232.374481 \nL 258.230372 230.601111 \nL 259.469962 228.611235 \nL 260.709553 226.392035 \nL 261.949143 223.932381 \nL 264.428324 218.258565 \nL 266.907504 211.553368 \nL 269.386685 203.839072 \nL 271.865865 195.21033 \nL 274.345046 185.843385 \nL 283.022178 151.664938 \nL 285.501359 143.16186 \nL 286.740949 139.39494 \nL 287.980539 136.019899 \nL 289.22013 133.083445 \nL 290.45972 130.627072 \nL 291.69931 128.686086 \nL 292.938901 127.288761 \nL 294.178491 126.455653 \nL 295.418081 126.199098 \nL 296.657671 126.522905 \nL 297.897262 127.422266 \nL 299.136852 128.883873 \nL 300.376442 130.886246 \nL 301.616033 133.400255 \nL 302.855623 136.389831 \nL 304.095213 139.812822 \nL 306.574394 147.766059 \nL 309.053574 156.840753 \nL 312.772345 171.580243 \nL 317.730707 191.147757 \nL 320.209887 200.129526 \nL 322.689068 208.26436 \nL 325.168248 215.422329 \nL 327.647429 221.550641 \nL 330.12661 226.661644 \nL 331.3662 228.85363 \nL 332.60579 230.817703 \nL 333.84538 232.566844 \nL 335.084971 234.115202 \nL 336.324561 235.47767 \nL 337.564151 236.669505 \nL 340.043332 238.602175 \nL 342.522513 240.031123 \nL 345.001693 241.063879 \nL 347.480874 241.793722 \nL 349.960054 242.298171 \nL 353.678825 242.764007 \nL 358.637186 243.062656 \nL 366.074728 243.207562 \nL 385.908173 243.243544 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_37\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.240363 \nL 82.208549 243.124777 \nL 97.083633 242.865545 \nL 107.000355 242.480257 \nL 114.437897 241.996419 \nL 120.635849 241.409774 \nL 126.8338 240.604377 \nL 131.792161 239.76609 \nL 136.750523 238.723958 \nL 141.708884 237.449533 \nL 146.667245 235.916922 \nL 151.625606 234.105096 \nL 156.583967 232.00046 \nL 161.542329 229.599503 \nL 166.50069 226.911325 \nL 171.459051 223.959766 \nL 177.657003 219.962564 \nL 186.334135 214.008636 \nL 196.250857 207.218943 \nL 201.209218 204.06798 \nL 204.927989 201.898896 \nL 208.64676 199.944969 \nL 212.365531 198.247101 \nL 216.084302 196.841934 \nL 219.803073 195.76054 \nL 222.282253 195.231818 \nL 224.761434 194.863341 \nL 227.240615 194.65887 \nL 229.719795 194.620501 \nL 232.198976 194.748628 \nL 234.678156 195.041937 \nL 237.157337 195.497426 \nL 239.636518 196.110461 \nL 243.355288 197.311467 \nL 247.074059 198.82579 \nL 250.79283 200.620213 \nL 254.511601 202.656404 \nL 259.469962 205.674296 \nL 265.667914 209.784522 \nL 284.261768 222.459682 \nL 289.22013 225.524531 \nL 294.178491 228.343156 \nL 299.136852 230.884061 \nL 304.095213 233.131298 \nL 309.053574 235.082618 \nL 314.011936 236.747103 \nL 318.970297 238.142542 \nL 323.928658 239.292797 \nL 328.887019 240.225358 \nL 335.084971 241.129075 \nL 341.282922 241.793621 \nL 348.720464 242.347312 \nL 357.397596 242.751841 \nL 368.553909 243.029961 \nL 384.668583 243.186993 \nL 414.41875 243.240397 \nL 414.41875 243.240397 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_38\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 229.719795 243.156069 \nL 235.917747 242.922869 \nL 239.636518 242.586667 \nL 242.115698 242.211046 \nL 244.594879 241.653731 \nL 247.074059 240.84547 \nL 249.55324 239.699958 \nL 252.032421 238.113867 \nL 253.272011 237.119137 \nL 254.511601 235.969009 \nL 255.751191 234.647201 \nL 256.990782 233.137303 \nL 258.230372 231.423122 \nL 259.469962 229.489076 \nL 260.709553 227.320643 \nL 261.949143 224.904862 \nL 263.188733 222.230853 \nL 265.667914 216.078424 \nL 268.147094 208.839288 \nL 270.626275 200.557747 \nL 273.105456 191.360512 \nL 276.824227 176.348185 \nL 281.782588 155.885145 \nL 284.261768 146.445798 \nL 286.740949 138.169205 \nL 287.980539 134.610002 \nL 289.22013 131.50605 \nL 290.45972 128.902639 \nL 291.69931 126.838437 \nL 292.938901 125.344534 \nL 294.178491 124.443667 \nL 295.418081 124.149638 \nL 296.657671 124.466969 \nL 297.897262 125.39078 \nL 299.136852 126.90692 \nL 300.376442 128.992323 \nL 301.616033 131.615591 \nL 302.855623 134.737787 \nL 304.095213 138.313389 \nL 306.574394 146.616541 \nL 309.053574 156.073445 \nL 314.011936 176.544733 \nL 317.730707 191.543386 \nL 320.209887 200.724888 \nL 322.689068 208.987444 \nL 325.168248 216.206017 \nL 327.647429 222.337752 \nL 330.12661 227.407863 \nL 331.3662 229.567101 \nL 332.60579 231.492481 \nL 333.84538 233.198575 \nL 335.084971 234.700995 \nL 336.324561 236.01595 \nL 337.564151 237.15985 \nL 340.043332 238.999148 \nL 342.522513 240.342649 \nL 345.001693 241.301257 \nL 347.480874 241.969581 \nL 349.960054 242.424973 \nL 353.678825 242.837932 \nL 358.637186 243.095623 \nL 366.074728 243.215753 \nL 389.626944 243.243708 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_39\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.239559 \nL 82.208549 243.111564 \nL 97.083633 242.837314 \nL 107.000355 242.439217 \nL 114.437897 241.94682 \nL 120.635849 241.356288 \nL 126.8338 240.55292 \nL 131.792161 239.722911 \nL 136.750523 238.697263 \nL 141.708884 237.44979 \nL 146.667245 235.956817 \nL 151.625606 234.199265 \nL 156.583967 232.164951 \nL 161.542329 229.850953 \nL 166.50069 227.265851 \nL 171.459051 224.431626 \nL 177.657003 220.595879 \nL 186.334135 214.876912 \nL 196.250857 208.323673 \nL 201.209218 205.258762 \nL 206.167579 202.466442 \nL 209.88635 200.609069 \nL 213.605121 198.996709 \nL 217.323892 197.662924 \nL 221.042663 196.636134 \nL 224.761434 195.938609 \nL 227.240615 195.664388 \nL 229.719795 195.546171 \nL 232.198976 195.585127 \nL 234.678156 195.780869 \nL 237.157337 196.131468 \nL 240.876108 196.939787 \nL 244.594879 198.07075 \nL 248.31365 199.499955 \nL 252.032421 201.197166 \nL 255.751191 203.12737 \nL 260.709553 205.996364 \nL 266.907504 209.919893 \nL 287.980539 223.681204 \nL 292.938901 226.573083 \nL 297.897262 229.223675 \nL 302.855623 231.607381 \nL 307.813984 233.7124 \nL 312.772345 235.538955 \nL 317.730707 237.097113 \nL 322.689068 238.404436 \nL 327.647429 239.483647 \nL 332.60579 240.360478 \nL 338.803742 241.212868 \nL 345.001693 241.842453 \nL 352.439235 242.370122 \nL 361.116367 242.758879 \nL 372.27268 243.02942 \nL 389.626944 243.191038 \nL 414.41875 243.238381 \nL 414.41875 243.238381 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_40\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 230.959385 243.145471 \nL 235.917747 242.960804 \nL 239.636518 242.652313 \nL 242.115698 242.302203 \nL 244.594879 241.77636 \nL 247.074059 241.004927 \nL 249.55324 239.899765 \nL 252.032421 238.354082 \nL 253.272011 237.377969 \nL 254.511601 236.244285 \nL 255.751191 234.93575 \nL 256.990782 233.43484 \nL 258.230372 231.724143 \nL 259.469962 229.786785 \nL 260.709553 227.606901 \nL 261.949143 225.17018 \nL 263.188733 222.464432 \nL 265.667914 216.211402 \nL 268.147094 208.816153 \nL 270.626275 200.319758 \nL 273.105456 190.851875 \nL 276.824227 175.353987 \nL 281.782588 154.21 \nL 284.261768 144.482739 \nL 286.740949 135.996334 \nL 287.980539 132.370594 \nL 289.22013 129.229641 \nL 290.45972 126.620969 \nL 291.69931 124.584717 \nL 292.938901 123.152648 \nL 294.178491 122.347323 \nL 295.418081 122.181508 \nL 296.657671 122.657838 \nL 297.897262 123.768749 \nL 299.136852 125.496675 \nL 300.376442 127.814513 \nL 301.616033 130.686329 \nL 302.855623 134.068283 \nL 304.095213 137.909747 \nL 306.574394 146.742376 \nL 309.053574 156.693396 \nL 317.730707 193.221885 \nL 320.209887 202.471728 \nL 322.689068 210.709928 \nL 325.168248 217.829438 \nL 327.647429 223.808413 \nL 328.887019 226.382574 \nL 330.12661 228.693306 \nL 331.3662 230.753899 \nL 332.60579 232.579486 \nL 333.84538 234.186484 \nL 335.084971 235.592085 \nL 336.324561 236.813803 \nL 337.564151 237.869084 \nL 340.043332 239.547874 \nL 342.522513 240.75573 \nL 345.001693 241.604064 \nL 347.480874 242.185866 \nL 349.960054 242.575582 \nL 353.678825 242.921456 \nL 358.637186 243.13057 \nL 367.314319 243.228973 \nL 405.741618 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_41\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.238588 \nL 80.968959 243.110159 \nL 95.844043 242.842004 \nL 105.760765 242.45831 \nL 114.437897 241.889329 \nL 121.875439 241.149044 \nL 128.07339 240.296368 \nL 133.031752 239.425428 \nL 137.990113 238.359651 \nL 142.948474 237.075354 \nL 147.906835 235.551809 \nL 152.865196 233.773193 \nL 157.823558 231.730684 \nL 162.781919 229.424568 \nL 167.74028 226.866177 \nL 172.698641 224.079465 \nL 178.896593 220.333586 \nL 188.813315 213.993355 \nL 197.490447 208.502431 \nL 202.448809 205.578169 \nL 207.40717 202.923898 \nL 211.125941 201.163877 \nL 214.844712 199.640126 \nL 218.563482 198.383319 \nL 222.282253 197.41933 \nL 226.001024 196.768344 \nL 229.719795 196.444155 \nL 232.198976 196.413292 \nL 235.917747 196.645624 \nL 239.636518 197.20737 \nL 243.355288 198.086595 \nL 247.074059 199.26482 \nL 250.79283 200.717663 \nL 254.511601 202.415677 \nL 258.230372 204.325347 \nL 263.188733 207.137456 \nL 269.386685 210.951411 \nL 289.22013 223.47636 \nL 295.418081 226.980254 \nL 300.376442 229.528273 \nL 305.334804 231.823285 \nL 310.293165 233.854464 \nL 315.251526 235.621956 \nL 320.209887 237.134924 \nL 325.168248 238.409444 \nL 330.12661 239.466407 \nL 335.084971 240.329582 \nL 341.282922 241.174054 \nL 347.480874 241.80274 \nL 354.918416 242.334704 \nL 363.595548 242.731539 \nL 374.75186 243.012399 \nL 390.866534 243.17824 \nL 414.41875 243.235613 \nL 414.41875 243.235613 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_42\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 230.959385 243.15829 \nL 237.157337 242.914745 \nL 240.876108 242.552396 \nL 243.355288 242.140403 \nL 245.834469 241.521348 \nL 248.31365 240.613677 \nL 250.79283 239.315384 \nL 252.032421 238.482313 \nL 253.272011 237.504345 \nL 254.511601 236.363592 \nL 255.751191 235.041507 \nL 256.990782 233.519198 \nL 258.230372 231.777821 \nL 259.469962 229.799034 \nL 260.709553 227.565532 \nL 261.949143 225.061632 \nL 263.188733 222.273917 \nL 264.428324 219.191918 \nL 266.907504 212.122097 \nL 269.386685 203.853569 \nL 271.865865 194.476965 \nL 274.345046 184.186789 \nL 284.261768 141.392295 \nL 286.740949 132.793085 \nL 287.980539 129.173356 \nL 289.22013 126.083509 \nL 290.45972 123.572377 \nL 291.69931 121.680304 \nL 292.938901 120.438076 \nL 294.178491 119.866078 \nL 295.418081 119.973744 \nL 296.657671 120.759297 \nL 297.897262 122.209795 \nL 299.136852 124.301489 \nL 300.376442 127.00047 \nL 301.616033 130.263578 \nL 302.855623 134.039557 \nL 305.334804 142.892775 \nL 307.813984 153.042054 \nL 312.772345 175.036052 \nL 316.491116 191.04912 \nL 318.970297 200.7654 \nL 321.449477 209.427902 \nL 323.928658 216.911756 \nL 326.407839 223.187116 \nL 327.647429 225.883769 \nL 328.887019 228.300565 \nL 330.12661 230.451711 \nL 331.3662 232.353469 \nL 332.60579 234.023533 \nL 333.84538 235.480459 \nL 335.084971 236.743152 \nL 336.324561 237.830433 \nL 337.564151 238.760672 \nL 340.043332 240.219553 \nL 342.522513 241.248236 \nL 345.001693 241.955767 \nL 347.480874 242.430589 \nL 351.199645 242.852372 \nL 356.158006 243.107105 \nL 363.595548 243.219862 \nL 389.626944 243.243739 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_43\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.237356 \nL 79.729369 243.107366 \nL 94.604452 242.843003 \nL 104.521175 242.470473 \nL 113.198307 241.923502 \nL 120.635849 241.216924 \nL 126.8338 240.407108 \nL 133.031752 239.349016 \nL 137.990113 238.293469 \nL 142.948474 237.028472 \nL 147.906835 235.53525 \nL 152.865196 233.799711 \nL 157.823558 231.814328 \nL 162.781919 229.580016 \nL 167.74028 227.107853 \nL 173.938232 223.718817 \nL 180.136183 220.065997 \nL 202.448809 206.569589 \nL 207.40717 203.978102 \nL 211.125941 202.245999 \nL 214.844712 200.731506 \nL 218.563482 199.463854 \nL 222.282253 198.468074 \nL 226.001024 197.764187 \nL 229.719795 197.366525 \nL 233.438566 197.283254 \nL 237.157337 197.516089 \nL 240.876108 198.060237 \nL 244.594879 198.904564 \nL 248.31365 200.031971 \nL 252.032421 201.419969 \nL 255.751191 203.041426 \nL 260.709553 205.512711 \nL 265.667914 208.263334 \nL 271.865865 211.96499 \nL 290.45972 223.307883 \nL 296.657671 226.731701 \nL 301.616033 229.236687 \nL 306.574394 231.506353 \nL 311.532755 233.528027 \nL 316.491116 235.299424 \nL 321.449477 236.826964 \nL 326.407839 238.123906 \nL 331.3662 239.208463 \nL 337.564151 240.29822 \nL 343.762103 241.134453 \nL 349.960054 241.761923 \nL 357.397596 242.297919 \nL 366.074728 242.702747 \nL 377.231041 242.994106 \nL 393.345715 243.170534 \nL 414.41875 243.231639 \nL 414.41875 243.231639 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_44\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 232.198976 243.147653 \nL 237.157337 242.952455 \nL 240.876108 242.614148 \nL 243.355288 242.221377 \nL 245.834469 241.621703 \nL 248.31365 240.729386 \nL 250.79283 239.43569 \nL 252.032421 238.597976 \nL 253.272011 237.6088 \nL 254.511601 236.448589 \nL 255.751191 235.096949 \nL 256.990782 233.533014 \nL 258.230372 231.735882 \nL 259.469962 229.685136 \nL 260.709553 227.361449 \nL 261.949143 224.747265 \nL 263.188733 221.827536 \nL 264.428324 218.590518 \nL 266.907504 211.139003 \nL 269.386685 202.395318 \nL 271.865865 192.463799 \nL 274.345046 181.567224 \nL 283.022178 141.814381 \nL 285.501359 132.277808 \nL 286.740949 128.185113 \nL 287.980539 124.63235 \nL 289.22013 121.677974 \nL 290.45972 119.371535 \nL 291.69931 117.752291 \nL 292.938901 116.848102 \nL 294.178491 116.67463 \nL 295.418081 117.23489 \nL 296.657671 118.519157 \nL 297.897262 120.505256 \nL 299.136852 123.159189 \nL 300.376442 126.436112 \nL 301.616033 130.281587 \nL 302.855623 134.633093 \nL 305.334804 144.573919 \nL 307.813984 155.66332 \nL 315.251526 189.966769 \nL 317.730707 200.150894 \nL 320.209887 209.188687 \nL 322.689068 216.949012 \nL 325.168248 223.407172 \nL 326.407839 226.163972 \nL 327.647429 228.622807 \nL 328.887019 230.800144 \nL 330.12661 232.714564 \nL 331.3662 234.386049 \nL 332.60579 235.835341 \nL 333.84538 237.083384 \nL 335.084971 238.150842 \nL 336.324561 239.057716 \nL 338.803742 240.464614 \nL 341.282922 241.441033 \nL 343.762103 242.10125 \nL 346.241283 242.536301 \nL 349.960054 242.913733 \nL 354.918416 243.133677 \nL 363.595548 243.230865 \nL 405.741618 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_45\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.235689 \nL 78.489778 243.102267 \nL 93.364862 242.838825 \nL 103.281584 242.47411 \nL 111.958717 241.944837 \nL 119.396258 241.266989 \nL 125.59421 240.494873 \nL 131.792161 239.490762 \nL 136.750523 238.492483 \nL 141.708884 237.29898 \nL 146.667245 235.892626 \nL 151.625606 234.259833 \nL 156.583967 232.392721 \nL 161.542329 230.290781 \nL 166.50069 227.962427 \nL 172.698641 224.763023 \nL 178.896593 221.300659 \nL 188.813315 215.444905 \nL 198.730038 209.644578 \nL 204.927989 206.312497 \nL 209.88635 203.933908 \nL 213.605121 202.366619 \nL 217.323892 201.017069 \nL 221.042663 199.910534 \nL 224.761434 199.068163 \nL 228.480205 198.506306 \nL 232.198976 198.235985 \nL 235.917747 198.262538 \nL 239.636518 198.585439 \nL 243.355288 199.198318 \nL 247.074059 200.089172 \nL 250.79283 201.240749 \nL 254.511601 202.631112 \nL 258.230372 204.234329 \nL 263.188733 206.652368 \nL 268.147094 209.321759 \nL 275.584636 213.625465 \nL 291.69931 223.084295 \nL 297.897262 226.422665 \nL 302.855623 228.881945 \nL 307.813984 231.125015 \nL 312.772345 233.137298 \nL 317.730707 234.913972 \nL 322.689068 236.458571 \nL 327.647429 237.781364 \nL 332.60579 238.89768 \nL 338.803742 240.031508 \nL 345.001693 240.91276 \nL 351.199645 241.583043 \nL 358.637186 242.164645 \nL 367.314319 242.612637 \nL 378.470631 242.943412 \nL 393.345715 243.142032 \nL 414.41875 243.225444 \nL 414.41875 243.225444 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_46\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 233.438566 243.144604 \nL 238.396927 242.930297 \nL 242.115698 242.547929 \nL 244.594879 242.09622 \nL 247.074059 241.398153 \nL 249.55324 240.34897 \nL 250.79283 239.6523 \nL 252.032421 238.815822 \nL 253.272011 237.818649 \nL 254.511601 236.638463 \nL 255.751191 235.251812 \nL 256.990782 233.634509 \nL 258.230372 231.762146 \nL 259.469962 229.610713 \nL 260.709553 227.157337 \nL 261.949143 224.381115 \nL 263.188733 221.264035 \nL 264.428324 217.791963 \nL 265.667914 213.955658 \nL 268.147094 205.183969 \nL 270.626275 195.010371 \nL 273.105456 183.631532 \nL 276.824227 165.100625 \nL 280.542997 146.430412 \nL 283.022178 135.013778 \nL 284.261768 129.881478 \nL 285.501359 125.248076 \nL 286.740949 121.193077 \nL 287.980539 117.787929 \nL 289.22013 115.093929 \nL 290.45972 113.160393 \nL 291.69931 112.02315 \nL 292.938901 111.703444 \nL 294.178491 112.207268 \nL 295.418081 113.525181 \nL 296.657671 115.632601 \nL 297.897262 118.490566 \nL 299.136852 122.046936 \nL 300.376442 126.23797 \nL 301.616033 130.990228 \nL 304.095213 141.849123 \nL 306.574394 153.926345 \nL 312.772345 184.95583 \nL 315.251526 196.21414 \nL 317.730707 206.2379 \nL 320.209887 214.846546 \nL 321.449477 218.600783 \nL 322.689068 221.992378 \nL 323.928658 225.031757 \nL 325.168248 227.734009 \nL 326.407839 230.117878 \nL 327.647429 232.204786 \nL 328.887019 234.017929 \nL 330.12661 235.581466 \nL 331.3662 236.919805 \nL 332.60579 238.057011 \nL 333.84538 239.016311 \nL 335.084971 239.819726 \nL 337.564151 241.039376 \nL 340.043332 241.859738 \nL 342.522513 242.396326 \nL 346.241283 242.856389 \nL 351.199645 243.118818 \nL 358.637186 243.224791 \nL 388.387354 243.243749 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_47\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.23332 \nL 77.250188 243.09393 \nL 92.125272 242.828115 \nL 103.281584 242.40755 \nL 111.958717 241.858909 \nL 119.396258 241.167296 \nL 125.59421 240.389082 \nL 131.792161 239.387362 \nL 137.990113 238.124601 \nL 142.948474 236.903103 \nL 147.906835 235.4777 \nL 152.865196 233.83791 \nL 157.823558 231.978889 \nL 162.781919 229.902858 \nL 167.74028 227.62038 \nL 173.938232 224.508273 \nL 181.375773 220.477574 \nL 202.448809 208.763813 \nL 207.40717 206.328755 \nL 212.365531 204.162362 \nL 216.084302 202.753547 \nL 219.803073 201.557675 \nL 223.521844 200.596293 \nL 227.240615 199.887036 \nL 230.959385 199.44309 \nL 234.678156 199.272781 \nL 238.396927 199.379319 \nL 242.115698 199.760695 \nL 245.834469 200.409745 \nL 249.55324 201.314375 \nL 253.272011 202.457932 \nL 256.990782 203.819717 \nL 261.949143 205.932797 \nL 266.907504 208.326305 \nL 273.105456 211.606204 \nL 283.022178 217.192146 \nL 292.938901 222.732629 \nL 299.136852 225.977593 \nL 305.334804 228.96159 \nL 310.293165 231.126764 \nL 315.251526 233.078311 \nL 320.209887 234.810626 \nL 325.168248 236.325733 \nL 330.12661 237.631906 \nL 335.084971 238.742218 \nL 341.282922 239.879939 \nL 347.480874 240.773763 \nL 353.678825 241.461578 \nL 361.116367 242.066651 \nL 369.793499 242.540991 \nL 380.949812 242.89949 \nL 395.824895 243.122043 \nL 414.41875 243.214961 \nL 414.41875 243.214961 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_48\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 234.678156 243.163319 \nL 239.636518 242.962993 \nL 243.355288 242.57865 \nL 245.834469 242.103351 \nL 248.31365 241.343552 \nL 249.55324 240.817087 \nL 250.79283 240.166852 \nL 252.032421 239.370195 \nL 253.272011 238.402032 \nL 254.511601 237.235026 \nL 255.751191 235.839893 \nL 256.990782 234.185864 \nL 258.230372 232.241317 \nL 259.469962 229.974583 \nL 260.709553 227.35493 \nL 261.949143 224.35372 \nL 263.188733 220.94571 \nL 264.428324 217.110478 \nL 265.667914 212.833925 \nL 266.907504 208.109791 \nL 269.386685 197.341649 \nL 271.865865 184.965003 \nL 274.345046 171.338597 \nL 280.542997 135.965233 \nL 283.022178 123.49661 \nL 284.261768 118.079325 \nL 285.501359 113.349565 \nL 286.740949 109.402018 \nL 287.980539 106.317589 \nL 289.22013 104.160652 \nL 290.45972 102.97681 \nL 291.69931 102.791296 \nL 292.938901 103.608078 \nL 294.178491 105.409715 \nL 295.418081 108.157979 \nL 296.657671 111.795206 \nL 297.897262 116.246302 \nL 299.136852 121.421321 \nL 301.616033 133.527515 \nL 304.095213 147.218222 \nL 310.293165 182.527568 \nL 312.772345 195.168357 \nL 315.251526 206.251274 \nL 317.730707 215.582224 \nL 318.970297 219.579265 \nL 320.209887 223.143058 \nL 321.449477 226.291864 \nL 322.689068 229.049316 \nL 323.928658 231.442958 \nL 325.168248 233.50289 \nL 326.407839 235.26056 \nL 327.647429 236.74771 \nL 328.887019 237.995507 \nL 330.12661 239.033845 \nL 331.3662 239.890827 \nL 332.60579 240.592394 \nL 335.084971 241.621059 \nL 337.564151 242.278642 \nL 340.043332 242.685938 \nL 343.762103 243.011447 \nL 348.720464 243.17839 \nL 359.876777 243.24127 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_49\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.230082 \nL 76.010598 243.08297 \nL 90.885681 242.812724 \nL 102.041994 242.39569 \nL 110.719126 241.860604 \nL 118.156668 241.193994 \nL 124.35462 240.450398 \nL 130.552571 239.499782 \nL 136.750523 238.308357 \nL 142.948474 236.845009 \nL 147.906835 235.461296 \nL 152.865196 233.878489 \nL 157.823558 232.092993 \nL 162.781919 230.107541 \nL 168.97987 227.360769 \nL 175.177822 224.356136 \nL 182.615364 220.495659 \nL 202.448809 210.014604 \nL 207.40717 207.671138 \nL 212.365531 205.565256 \nL 216.084302 204.178033 \nL 219.803073 202.98132 \nL 223.521844 201.995446 \nL 227.240615 201.237477 \nL 230.959385 200.720728 \nL 234.678156 200.454367 \nL 238.396927 200.443149 \nL 242.115698 200.687277 \nL 245.834469 201.182389 \nL 249.55324 201.919693 \nL 253.272011 202.886227 \nL 256.990782 204.065234 \nL 260.709553 205.436647 \nL 265.667914 207.524759 \nL 270.626275 209.854539 \nL 276.824227 213.009812 \nL 290.45972 220.322084 \nL 299.136852 224.813217 \nL 305.334804 227.783059 \nL 311.532755 230.488088 \nL 316.491116 232.437222 \nL 321.449477 234.18537 \nL 326.407839 235.731049 \nL 331.3662 237.078894 \nL 337.564151 238.500388 \nL 343.762103 239.654261 \nL 349.960054 240.572206 \nL 357.397596 241.410121 \nL 364.835138 242.014986 \nL 373.51227 242.496412 \nL 384.668583 242.867843 \nL 399.543666 243.10546 \nL 414.41875 243.197519 \nL 414.41875 243.197519 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_50\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 239.636518 243.142648 \nL 243.355288 242.951352 \nL 245.834469 242.676855 \nL 248.31365 242.184322 \nL 250.79283 241.335294 \nL 252.032421 240.717343 \nL 253.272011 239.929886 \nL 254.511601 238.936733 \nL 255.751191 237.697124 \nL 256.990782 236.16606 \nL 258.230372 234.294953 \nL 259.469962 232.032652 \nL 260.709553 229.326863 \nL 261.949143 226.126009 \nL 263.188733 222.381497 \nL 264.428324 218.050372 \nL 265.667914 213.098285 \nL 266.907504 207.502642 \nL 268.147094 201.255822 \nL 270.626275 186.871087 \nL 273.105456 170.288874 \nL 276.824227 142.987582 \nL 279.303407 124.884819 \nL 281.782588 108.554594 \nL 283.022178 101.529327 \nL 284.261768 95.501098 \nL 285.501359 90.624911 \nL 286.740949 87.02944 \nL 287.980539 84.811386 \nL 289.22013 84.031161 \nL 290.45972 84.71015 \nL 291.69931 86.829738 \nL 292.938901 90.332159 \nL 294.178491 95.123112 \nL 295.418081 101.075979 \nL 296.657671 108.03738 \nL 299.136852 124.278425 \nL 302.855623 151.593557 \nL 305.334804 169.680521 \nL 307.813984 186.328342 \nL 310.293165 200.797377 \nL 311.532755 207.089316 \nL 312.772345 212.730183 \nL 314.011936 217.726445 \nL 315.251526 222.099756 \nL 316.491116 225.883751 \nL 317.730707 229.120887 \nL 318.970297 231.859452 \nL 320.209887 234.150897 \nL 321.449477 236.047529 \nL 322.689068 237.600631 \nL 323.928658 238.859005 \nL 325.168248 239.867925 \nL 326.407839 240.668461 \nL 327.647429 241.297125 \nL 330.12661 242.161752 \nL 332.60579 242.664038 \nL 335.084971 242.944359 \nL 338.803742 243.140031 \nL 346.241283 243.234036 \nL 389.626944 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_51\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.226841 \nL 74.771008 243.075749 \nL 89.646091 242.804698 \nL 100.802404 242.394052 \nL 109.479536 241.873522 \nL 116.917078 241.230583 \nL 124.35462 240.353048 \nL 130.552571 239.403776 \nL 136.750523 238.223399 \nL 142.948474 236.783926 \nL 147.906835 235.430565 \nL 152.865196 233.889537 \nL 157.823558 232.158179 \nL 164.021509 229.731761 \nL 170.219461 227.034561 \nL 176.417412 224.106301 \nL 185.094544 219.734886 \nL 201.209218 211.534724 \nL 207.40717 208.672939 \nL 212.365531 206.621161 \nL 217.323892 204.841186 \nL 221.042663 203.71505 \nL 224.761434 202.78859 \nL 228.480205 202.077208 \nL 232.198976 201.592893 \nL 235.917747 201.343891 \nL 239.636518 201.334463 \nL 243.355288 201.564772 \nL 247.074059 202.030874 \nL 250.79283 202.724829 \nL 254.511601 203.634931 \nL 258.230372 204.746031 \nL 263.188733 206.508384 \nL 268.147094 208.545671 \nL 274.345046 211.394114 \nL 281.782588 215.103372 \nL 301.616033 225.162859 \nL 307.813984 228.015322 \nL 314.011936 230.620503 \nL 320.209887 232.945395 \nL 325.168248 234.592808 \nL 330.12661 236.050408 \nL 336.324561 237.613373 \nL 342.522513 238.906394 \nL 348.720464 239.955284 \nL 354.918416 240.789931 \nL 362.355957 241.55281 \nL 371.033089 242.17993 \nL 380.949812 242.640842 \nL 393.345715 242.963807 \nL 410.699979 243.157825 \nL 414.41875 243.178114 \nL 414.41875 243.178114 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_52\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 245.834469 243.154868 \nL 249.55324 242.91097 \nL 252.032421 242.494842 \nL 253.272011 242.143283 \nL 254.511601 241.648849 \nL 255.751191 240.963938 \nL 256.990782 240.02955 \nL 258.230372 238.774288 \nL 259.469962 237.113951 \nL 260.709553 234.952009 \nL 261.949143 232.181237 \nL 263.188733 228.6868 \nL 264.428324 224.350985 \nL 265.667914 219.059692 \nL 266.907504 212.710615 \nL 268.147094 205.222872 \nL 269.386685 196.547561 \nL 270.626275 186.678557 \nL 271.865865 175.662589 \nL 274.345046 150.687869 \nL 280.542997 83.656048 \nL 281.782588 72.500272 \nL 283.022178 63.067572 \nL 284.261768 55.718758 \nL 285.501359 50.744305 \nL 286.740949 48.345316 \nL 287.980539 48.620036 \nL 289.22013 51.557171 \nL 290.45972 57.036667 \nL 291.69931 64.837843 \nL 292.938901 74.654142 \nL 294.178491 86.113097 \nL 296.657671 112.281308 \nL 300.376442 153.389298 \nL 302.855623 178.004215 \nL 304.095213 188.792319 \nL 305.334804 198.419164 \nL 306.574394 206.849581 \nL 307.813984 214.099299 \nL 309.053574 220.224643 \nL 310.293165 225.311713 \nL 311.532755 229.465968 \nL 312.772345 232.802859 \nL 314.011936 235.439983 \nL 315.251526 237.490945 \nL 316.491116 239.060985 \nL 317.730707 240.244202 \nL 318.970297 241.122183 \nL 320.209887 241.763734 \nL 321.449477 242.22543 \nL 323.928658 242.781214 \nL 326.407839 243.044938 \nL 330.12661 243.193232 \nL 340.043332 243.243037 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_53\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225481 \nL 73.531417 243.081053 \nL 89.646091 242.786628 \nL 100.802404 242.365589 \nL 109.479536 241.835118 \nL 116.917078 241.182923 \nL 124.35462 240.296318 \nL 130.552571 239.340487 \nL 136.750523 238.155395 \nL 142.948474 236.714061 \nL 149.146426 234.995285 \nL 154.104787 233.411864 \nL 160.302738 231.170744 \nL 166.50069 228.650247 \nL 172.698641 225.878972 \nL 180.136183 222.290116 \nL 193.771676 215.364547 \nL 202.448809 211.108627 \nL 208.64676 208.341794 \nL 213.605121 206.377854 \nL 218.563482 204.693628 \nL 222.282253 203.642763 \nL 226.001024 202.793067 \nL 229.719795 202.158561 \nL 233.438566 201.749843 \nL 237.157337 201.573803 \nL 240.876108 201.633419 \nL 244.594879 201.927682 \nL 248.31365 202.451619 \nL 252.032421 203.196436 \nL 255.751191 204.149761 \nL 259.469962 205.295987 \nL 264.428324 207.092183 \nL 269.386685 209.148489 \nL 275.584636 212.00083 \nL 283.022178 215.688824 \nL 300.376442 224.422979 \nL 307.813984 227.852297 \nL 314.011936 230.45101 \nL 320.209887 232.776971 \nL 326.407839 234.813741 \nL 332.60579 236.560179 \nL 338.803742 238.027545 \nL 345.001693 239.236317 \nL 351.199645 240.213046 \nL 357.397596 240.987505 \nL 364.835138 241.692878 \nL 373.51227 242.270573 \nL 383.428992 242.693585 \nL 395.824895 242.988911 \nL 413.17916 243.165692 \nL 414.41875 243.172355 \nL 414.41875 243.172355 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_54\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.146242 \nL 252.032421 242.978829 \nL 254.511601 242.572181 \nL 255.751191 242.201935 \nL 256.990782 241.65533 \nL 258.230372 240.863539 \nL 259.469962 239.738327 \nL 260.709553 238.169866 \nL 261.949143 236.025771 \nL 263.188733 233.152018 \nL 264.428324 229.376483 \nL 265.667914 224.515764 \nL 266.907504 218.385743 \nL 268.147094 210.816019 \nL 269.386685 201.66783 \nL 270.626275 190.854498 \nL 271.865865 178.362745 \nL 273.105456 164.272689 \nL 275.584636 132.174489 \nL 279.303407 80.559501 \nL 280.542997 64.781601 \nL 281.782588 50.836354 \nL 283.022178 39.364774 \nL 284.261768 30.920205 \nL 285.501359 25.924145 \nL 286.740949 24.631402 \nL 287.980539 27.108547 \nL 289.22013 33.228244 \nL 290.45972 42.680089 \nL 291.69931 54.996704 \nL 292.938901 69.592015 \nL 295.418081 102.960396 \nL 299.136852 153.798058 \nL 300.376442 168.880119 \nL 301.616033 182.481089 \nL 302.855623 194.447323 \nL 304.095213 204.730135 \nL 305.334804 213.368222 \nL 306.574394 220.466991 \nL 307.813984 226.177296 \nL 309.053574 230.675648 \nL 310.293165 234.147317 \nL 311.532755 236.773104 \nL 312.772345 238.719994 \nL 314.011936 240.13543 \nL 315.251526 241.144678 \nL 316.491116 241.850581 \nL 317.730707 242.334977 \nL 320.209887 242.87665 \nL 322.689068 243.105389 \nL 327.647429 243.227785 \nL 349.960054 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_55\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225466 \nL 73.531417 243.081006 \nL 89.646091 242.786601 \nL 100.802404 242.365658 \nL 109.479536 241.835359 \nL 116.917078 241.18342 \nL 124.35462 240.297211 \nL 130.552571 239.341845 \nL 136.750523 238.157364 \nL 142.948474 236.716804 \nL 149.146426 234.998975 \nL 154.104787 233.416435 \nL 160.302738 231.176556 \nL 166.50069 228.657429 \nL 172.698641 225.887601 \nL 180.136183 222.300486 \nL 193.771676 215.377624 \nL 202.448809 211.122694 \nL 208.64676 208.356045 \nL 213.605121 206.391881 \nL 218.563482 204.707078 \nL 222.282253 203.655543 \nL 226.001024 202.804976 \nL 229.719795 202.169406 \nL 233.438566 201.759446 \nL 237.157337 201.582 \nL 240.876108 201.640073 \nL 244.594879 201.93268 \nL 248.31365 202.454879 \nL 252.032421 203.197906 \nL 255.751191 204.149424 \nL 259.469962 205.29386 \nL 264.428324 207.087749 \nL 269.386685 209.141908 \nL 275.584636 211.991884 \nL 283.022178 215.677634 \nL 300.376442 224.409453 \nL 307.813984 227.838955 \nL 314.011936 230.438258 \nL 320.209887 232.765114 \nL 326.407839 234.802995 \nL 332.60579 236.550671 \nL 338.803742 238.019322 \nL 345.001693 239.22936 \nL 351.199645 240.207283 \nL 357.397596 240.982828 \nL 364.835138 241.689331 \nL 373.51227 242.268094 \nL 383.428992 242.692012 \nL 395.824895 242.988078 \nL 413.17916 243.165388 \nL 414.41875 243.172075 \nL 414.41875 243.172075 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_56\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.157738 \nL 252.032421 243.005862 \nL 254.511601 242.630639 \nL 255.751191 242.28517 \nL 256.990782 241.77125 \nL 258.230372 241.021362 \nL 259.469962 239.948243 \nL 260.709553 238.442414 \nL 261.949143 236.370857 \nL 263.188733 233.577575 \nL 264.428324 229.886799 \nL 265.667914 225.109581 \nL 266.907504 219.054323 \nL 268.147094 211.541424 \nL 269.386685 202.421751 \nL 270.626275 191.597947 \nL 271.865865 179.046946 \nL 273.105456 164.841344 \nL 275.584636 132.33286 \nL 280.542997 63.640113 \nL 281.782588 49.38099 \nL 283.022178 37.649357 \nL 284.261768 29.02092 \nL 285.501359 23.934045 \nL 286.740949 22.652866 \nL 287.980539 25.244559 \nL 289.22013 31.573504 \nL 290.45972 41.313047 \nL 291.69931 53.973431 \nL 292.938901 68.942589 \nL 295.418081 103.043545 \nL 297.897262 138.15712 \nL 300.376442 169.843638 \nL 301.616033 183.502023 \nL 302.855623 195.469219 \nL 304.095213 205.707343 \nL 305.334804 214.267206 \nL 306.574394 221.266261 \nL 307.813984 226.866266 \nL 309.053574 231.252792 \nL 310.293165 234.617973 \nL 311.532755 237.147256 \nL 312.772345 239.010249 \nL 314.011936 240.355353 \nL 315.251526 241.307544 \nL 316.491116 241.968533 \nL 317.730707 242.41856 \nL 320.209887 242.916027 \nL 322.689068 243.122464 \nL 327.647429 243.230308 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_57\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225515 \nL 73.531417 243.081353 \nL 89.646091 242.787442 \nL 100.802404 242.367104 \nL 109.479536 241.837478 \nL 116.917078 241.186275 \nL 124.35462 240.300952 \nL 130.552571 239.346433 \nL 136.750523 238.16288 \nL 142.948474 236.723301 \nL 149.146426 235.006467 \nL 154.104787 233.4247 \nL 160.302738 231.185711 \nL 166.50069 228.667326 \nL 172.698641 225.898029 \nL 180.136183 222.31118 \nL 193.771676 215.387494 \nL 202.448809 211.131065 \nL 208.64676 208.362903 \nL 213.605121 206.397301 \nL 218.563482 204.710896 \nL 222.282253 203.65808 \nL 226.001024 202.806187 \nL 229.719795 202.169268 \nL 233.438566 201.757961 \nL 237.157337 201.579193 \nL 240.876108 201.635991 \nL 244.594879 201.927392 \nL 248.31365 202.448473 \nL 252.032421 203.190489 \nL 255.751191 204.141115 \nL 259.469962 205.284789 \nL 264.428324 207.077879 \nL 269.386685 209.131491 \nL 275.584636 211.981137 \nL 283.022178 215.666969 \nL 300.376442 224.400527 \nL 307.813984 227.831167 \nL 314.011936 230.43148 \nL 320.209887 232.759345 \nL 326.407839 234.798187 \nL 332.60579 236.546747 \nL 338.803742 238.016185 \nL 345.001693 239.226902 \nL 351.199645 240.205395 \nL 357.397596 240.981406 \nL 364.835138 241.688345 \nL 373.51227 242.267473 \nL 383.428992 242.691663 \nL 395.824895 242.987919 \nL 413.17916 243.165342 \nL 414.41875 243.172033 \nL 414.41875 243.172033 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_58\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.159321 \nL 252.032421 243.009724 \nL 254.511601 242.639336 \nL 255.751191 242.297831 \nL 256.990782 241.789304 \nL 258.230372 241.046576 \nL 259.469962 239.982719 \nL 260.709553 238.488548 \nL 261.949143 236.43125 \nL 263.188733 233.654877 \nL 264.428324 229.983487 \nL 265.667914 225.227671 \nL 266.907504 219.195032 \nL 268.147094 211.704809 \nL 269.386685 202.606359 \nL 270.626275 191.80054 \nL 271.865865 179.262337 \nL 273.105456 165.062408 \nL 275.584636 132.53746 \nL 280.542997 63.690613 \nL 281.782588 49.375365 \nL 283.022178 37.586266 \nL 284.261768 28.902593 \nL 285.501359 23.766175 \nL 286.740949 22.44416 \nL 287.980539 25.005986 \nL 289.22013 31.317345 \nL 290.45972 41.051844 \nL 291.69931 53.718974 \nL 292.938901 68.705046 \nL 295.418081 102.86097 \nL 297.897262 138.040284 \nL 300.376442 169.785535 \nL 301.616033 183.467203 \nL 302.855623 195.452894 \nL 304.095213 205.704783 \nL 305.334804 214.274093 \nL 306.574394 221.278916 \nL 307.813984 226.881764 \nL 309.053574 231.268967 \nL 310.293165 234.63336 \nL 311.532755 237.160979 \nL 312.772345 239.021891 \nL 314.011936 240.364831 \nL 315.251526 241.314988 \nL 316.491116 241.974195 \nL 317.730707 242.422741 \nL 320.209887 242.91813 \nL 322.689068 243.123422 \nL 327.647429 243.230459 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_59\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225537 \nL 74.771008 243.067414 \nL 89.646091 242.7878 \nL 100.802404 242.367719 \nL 109.479536 241.838375 \nL 116.917078 241.18748 \nL 124.35462 240.302527 \nL 130.552571 239.348359 \nL 136.750523 238.165189 \nL 142.948474 236.726012 \nL 149.146426 235.009583 \nL 154.104787 233.428128 \nL 160.302738 231.189492 \nL 166.50069 228.671396 \nL 172.698641 225.902296 \nL 180.136183 222.315526 \nL 193.771676 215.391434 \nL 202.448809 211.134347 \nL 208.64676 208.365537 \nL 213.605121 206.399328 \nL 218.563482 204.712252 \nL 222.282253 203.658903 \nL 226.001024 202.806463 \nL 229.719795 202.168991 \nL 233.438566 201.757135 \nL 237.157337 201.577832 \nL 240.876108 201.634118 \nL 244.594879 201.925039 \nL 248.31365 202.445679 \nL 252.032421 203.1873 \nL 255.751191 204.137582 \nL 259.469962 205.280968 \nL 264.428324 207.073764 \nL 269.386685 209.127187 \nL 275.584636 211.97674 \nL 283.022178 215.662653 \nL 301.616033 224.98908 \nL 307.813984 227.828119 \nL 314.011936 230.428851 \nL 320.209887 232.757127 \nL 326.407839 234.796356 \nL 332.60579 236.545268 \nL 338.803742 238.015015 \nL 345.001693 239.225995 \nL 351.199645 240.204707 \nL 357.397596 240.980895 \nL 364.835138 241.687997 \nL 373.51227 242.267259 \nL 383.428992 242.691546 \nL 395.824895 242.987869 \nL 413.17916 243.165329 \nL 414.41875 243.172021 \nL 414.41875 243.172021 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_60\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.15992 \nL 252.032421 243.011193 \nL 254.511601 242.642667 \nL 255.751191 242.302696 \nL 256.990782 241.796267 \nL 258.230372 241.056338 \nL 259.469962 239.996122 \nL 260.709553 238.506563 \nL 261.949143 236.454945 \nL 263.188733 233.68536 \nL 264.428324 230.021827 \nL 265.667914 225.274783 \nL 266.907504 219.251548 \nL 268.147094 211.77093 \nL 269.386685 202.681713 \nL 270.626275 191.884059 \nL 271.865865 179.352175 \nL 273.105456 165.155924 \nL 275.584636 132.627624 \nL 280.542997 63.724421 \nL 281.782588 49.387068 \nL 283.022178 37.57473 \nL 284.261768 28.868064 \nL 285.501359 23.710289 \nL 286.740949 22.369817 \nL 287.980539 24.917099 \nL 289.22013 31.218499 \nL 290.45972 40.947904 \nL 291.69931 53.614691 \nL 292.938901 68.6047 \nL 295.418081 102.778162 \nL 297.897262 137.981486 \nL 300.376442 169.750128 \nL 301.616033 183.441718 \nL 302.855623 195.435727 \nL 304.095213 205.694249 \nL 305.334804 214.268573 \nL 306.574394 221.276961 \nL 307.813984 226.882157 \nL 309.053574 231.270745 \nL 310.293165 234.635809 \nL 311.532755 237.163605 \nL 312.772345 239.024385 \nL 314.011936 240.367021 \nL 315.251526 241.316806 \nL 316.491116 241.975637 \nL 317.730707 242.423841 \nL 320.209887 242.918711 \nL 322.689068 243.123695 \nL 327.647429 243.230504 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_61\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225546 \nL 74.771008 243.06748 \nL 89.646091 242.787948 \nL 100.802404 242.367973 \nL 109.479536 241.838746 \nL 116.917078 241.187979 \nL 124.35462 240.303179 \nL 130.552571 239.349156 \nL 136.750523 238.166144 \nL 142.948474 236.727134 \nL 149.146426 235.010871 \nL 154.104787 233.429544 \nL 160.302738 231.191054 \nL 166.50069 228.673076 \nL 172.698641 225.904056 \nL 180.136183 222.317317 \nL 193.771676 215.393055 \nL 202.448809 211.135693 \nL 208.64676 208.366615 \nL 213.605121 206.400153 \nL 218.563482 204.7128 \nL 222.282253 203.659231 \nL 226.001024 202.806565 \nL 229.719795 202.168865 \nL 233.438566 201.756782 \nL 237.157337 201.577259 \nL 240.876108 201.633334 \nL 244.594879 201.924058 \nL 248.31365 202.444517 \nL 252.032421 203.185976 \nL 255.751191 204.136118 \nL 259.469962 205.279386 \nL 264.428324 207.072062 \nL 269.386685 209.125409 \nL 275.584636 211.974926 \nL 283.022178 215.660874 \nL 301.616033 224.987663 \nL 307.813984 227.82687 \nL 314.011936 230.427774 \nL 320.209887 232.756219 \nL 326.407839 234.795609 \nL 332.60579 236.544665 \nL 338.803742 238.014539 \nL 345.001693 239.225627 \nL 351.199645 240.204428 \nL 357.397596 240.980688 \nL 364.835138 241.687856 \nL 373.51227 242.267173 \nL 383.428992 242.691499 \nL 395.824895 242.987848 \nL 413.17916 243.165324 \nL 414.41875 243.172016 \nL 414.41875 243.172016 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_62\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160165 \nL 252.032421 243.011794 \nL 254.511601 242.644032 \nL 255.751191 242.304692 \nL 256.990782 241.799126 \nL 258.230372 241.060349 \nL 259.469962 240.001633 \nL 260.709553 238.513975 \nL 261.949143 236.4647 \nL 263.188733 233.697921 \nL 264.428324 230.037638 \nL 265.667914 225.29423 \nL 266.907504 219.274899 \nL 268.147094 211.798278 \nL 269.386685 202.712916 \nL 270.626275 191.918689 \nL 271.865865 179.389482 \nL 273.105456 165.194828 \nL 275.584636 132.665319 \nL 280.542997 63.73911 \nL 281.782588 49.39264 \nL 283.022178 37.570684 \nL 284.261768 28.854466 \nL 285.501359 23.687784 \nL 286.740949 22.339571 \nL 287.980539 24.880706 \nL 289.22013 31.177836 \nL 290.45972 40.904976 \nL 291.69931 53.571463 \nL 292.938901 68.562953 \nL 295.418081 102.743436 \nL 297.897262 137.956569 \nL 300.376442 169.734874 \nL 301.616033 183.430597 \nL 302.855623 195.428092 \nL 304.095213 205.689413 \nL 305.334804 214.265872 \nL 306.574394 221.275798 \nL 307.813984 226.882025 \nL 309.053574 231.271242 \nL 310.293165 234.636634 \nL 311.532755 237.164546 \nL 312.772345 239.025305 \nL 314.011936 240.367846 \nL 315.251526 241.317498 \nL 316.491116 241.976191 \nL 317.730707 242.424267 \nL 320.209887 242.918937 \nL 322.689068 243.123802 \nL 327.647429 243.230522 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_63\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225549 \nL 74.771008 243.067508 \nL 89.646091 242.78801 \nL 100.802404 242.368079 \nL 109.479536 241.838901 \nL 116.917078 241.188186 \nL 124.35462 240.30345 \nL 130.552571 239.349487 \nL 136.750523 238.166541 \nL 142.948474 236.727599 \nL 149.146426 235.011406 \nL 154.104787 233.430132 \nL 160.302738 231.191702 \nL 166.50069 228.673774 \nL 172.698641 225.904787 \nL 180.136183 222.318061 \nL 193.771676 215.393727 \nL 202.448809 211.136252 \nL 208.64676 208.367062 \nL 213.605121 206.400496 \nL 218.563482 204.713027 \nL 222.282253 203.659367 \nL 226.001024 202.806607 \nL 229.719795 202.168812 \nL 233.438566 201.756635 \nL 237.157337 201.577021 \nL 240.876108 201.633008 \nL 244.594879 201.92365 \nL 248.31365 202.444034 \nL 252.032421 203.185426 \nL 255.751191 204.135509 \nL 259.469962 205.278729 \nL 264.428324 207.071355 \nL 269.386685 209.124671 \nL 275.584636 211.974173 \nL 283.022178 215.660136 \nL 301.616033 224.987075 \nL 307.813984 227.826351 \nL 314.011936 230.427327 \nL 320.209887 232.755843 \nL 326.407839 234.795299 \nL 332.60579 236.544415 \nL 338.803742 238.014341 \nL 345.001693 239.225474 \nL 351.199645 240.204313 \nL 357.397596 240.980602 \nL 364.835138 241.687798 \nL 373.51227 242.267137 \nL 383.428992 242.69148 \nL 395.824895 242.98784 \nL 413.17916 243.165322 \nL 414.41875 243.172014 \nL 414.41875 243.172014 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_64\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160266 \nL 252.032421 243.012044 \nL 254.511601 242.644598 \nL 255.751191 242.305519 \nL 256.990782 241.800312 \nL 258.230372 241.062012 \nL 259.469962 240.003918 \nL 260.709553 238.517049 \nL 261.949143 236.468748 \nL 263.188733 233.703133 \nL 264.428324 230.0442 \nL 265.667914 225.302302 \nL 266.907504 219.284593 \nL 268.147094 211.809634 \nL 269.386685 202.725876 \nL 270.626275 191.933074 \nL 271.865865 179.404983 \nL 273.105456 165.210997 \nL 275.584636 132.680998 \nL 280.542997 63.745253 \nL 281.782588 49.394999 \nL 283.022178 37.569047 \nL 284.261768 28.84886 \nL 285.501359 23.678473 \nL 286.740949 22.327039 \nL 287.980539 24.865612 \nL 289.22013 31.160961 \nL 290.45972 40.88715 \nL 291.69931 53.553504 \nL 292.938901 68.5456 \nL 295.418081 102.728987 \nL 297.897262 137.946186 \nL 300.376442 169.728505 \nL 301.616033 183.425946 \nL 302.855623 195.424891 \nL 304.095213 205.687378 \nL 305.334804 214.264728 \nL 306.574394 221.275296 \nL 307.813984 226.881954 \nL 309.053574 231.271436 \nL 310.293165 234.636966 \nL 311.532755 237.164928 \nL 312.772345 239.025682 \nL 314.011936 240.368183 \nL 315.251526 241.317782 \nL 316.491116 241.976419 \nL 317.730707 242.424442 \nL 320.209887 242.919031 \nL 322.689068 243.123847 \nL 327.647429 243.230529 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_65\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225551 \nL 74.771008 243.067519 \nL 89.646091 242.788036 \nL 100.802404 242.368123 \nL 109.479536 241.838965 \nL 116.917078 241.188272 \nL 124.35462 240.303562 \nL 130.552571 239.349625 \nL 136.750523 238.166706 \nL 142.948474 236.727793 \nL 149.146426 235.011628 \nL 154.104787 233.430377 \nL 160.302738 231.191972 \nL 166.50069 228.674064 \nL 172.698641 225.90509 \nL 180.136183 222.31837 \nL 193.771676 215.394007 \nL 202.448809 211.136484 \nL 208.64676 208.367248 \nL 213.605121 206.400638 \nL 218.563482 204.713121 \nL 222.282253 203.659423 \nL 226.001024 202.806624 \nL 229.719795 202.16879 \nL 233.438566 201.756574 \nL 237.157337 201.576922 \nL 240.876108 201.632873 \nL 244.594879 201.92348 \nL 248.31365 202.443833 \nL 252.032421 203.185197 \nL 255.751191 204.135256 \nL 259.469962 205.278456 \nL 264.428324 207.071062 \nL 269.386685 209.124364 \nL 275.584636 211.97386 \nL 283.022178 215.659829 \nL 301.616033 224.986831 \nL 307.813984 227.826136 \nL 314.011936 230.427142 \nL 320.209887 232.755687 \nL 326.407839 234.79517 \nL 332.60579 236.544311 \nL 338.803742 238.014259 \nL 345.001693 239.225411 \nL 351.199645 240.204265 \nL 357.397596 240.980566 \nL 364.835138 241.687774 \nL 373.51227 242.267122 \nL 383.428992 242.691472 \nL 395.824895 242.987837 \nL 413.17916 243.165321 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_66\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160308 \nL 252.032421 243.012147 \nL 254.511601 242.644834 \nL 255.751191 242.305863 \nL 256.990782 241.800804 \nL 258.230372 241.062703 \nL 259.469962 240.004868 \nL 260.709553 238.518326 \nL 261.949143 236.470429 \nL 263.188733 233.705299 \nL 264.428324 230.046927 \nL 265.667914 225.305656 \nL 266.907504 219.288622 \nL 268.147094 211.814354 \nL 269.386685 202.731262 \nL 270.626275 191.939054 \nL 271.865865 179.411427 \nL 273.105456 165.217719 \nL 275.584636 132.687517 \nL 280.542997 63.74781 \nL 281.782588 49.395982 \nL 283.022178 37.56837 \nL 284.261768 28.846532 \nL 285.501359 23.674605 \nL 286.740949 22.321831 \nL 287.980539 24.859339 \nL 289.22013 31.153947 \nL 290.45972 40.87974 \nL 291.69931 53.546038 \nL 292.938901 68.538386 \nL 295.418081 102.722979 \nL 297.897262 137.941868 \nL 300.376442 169.725856 \nL 301.616033 183.424011 \nL 302.855623 195.423559 \nL 304.095213 205.686531 \nL 305.334804 214.264251 \nL 306.574394 221.275086 \nL 307.813984 226.881924 \nL 309.053574 231.271516 \nL 310.293165 234.637103 \nL 311.532755 237.165087 \nL 312.772345 239.025838 \nL 314.011936 240.368324 \nL 315.251526 241.3179 \nL 316.491116 241.976513 \nL 317.730707 242.424515 \nL 320.209887 242.91907 \nL 322.689068 243.123865 \nL 327.647429 243.230532 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_67\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225551 \nL 74.771008 243.067524 \nL 89.646091 242.788046 \nL 100.802404 242.368141 \nL 109.479536 241.838991 \nL 116.917078 241.188308 \nL 124.35462 240.303609 \nL 130.552571 239.349682 \nL 136.750523 238.166775 \nL 142.948474 236.727873 \nL 149.146426 235.011721 \nL 154.104787 233.430478 \nL 160.302738 231.192084 \nL 166.50069 228.674184 \nL 172.698641 225.905217 \nL 180.136183 222.318498 \nL 193.771676 215.394123 \nL 202.448809 211.13658 \nL 208.64676 208.367325 \nL 213.605121 206.400697 \nL 218.563482 204.713161 \nL 222.282253 203.659447 \nL 226.001024 202.806631 \nL 229.719795 202.168781 \nL 233.438566 201.756549 \nL 237.157337 201.57688 \nL 240.876108 201.632817 \nL 244.594879 201.92341 \nL 248.31365 202.44375 \nL 252.032421 203.185102 \nL 255.751191 204.135151 \nL 259.469962 205.278342 \nL 264.428324 207.070939 \nL 269.386685 209.124237 \nL 275.584636 211.97373 \nL 283.022178 215.659702 \nL 301.616033 224.986729 \nL 307.813984 227.826046 \nL 314.011936 230.427065 \nL 320.209887 232.755622 \nL 326.407839 234.795116 \nL 332.60579 236.544268 \nL 338.803742 238.014225 \nL 345.001693 239.225384 \nL 351.199645 240.204245 \nL 357.397596 240.980552 \nL 364.835138 241.687764 \nL 373.51227 242.267116 \nL 383.428992 242.691468 \nL 395.824895 242.987835 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_68\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160326 \nL 252.032421 243.01219 \nL 254.511601 242.644931 \nL 255.751191 242.306006 \nL 256.990782 241.801009 \nL 258.230372 241.062991 \nL 259.469962 240.005262 \nL 260.709553 238.518858 \nL 261.949143 236.471129 \nL 263.188733 233.706199 \nL 264.428324 230.04806 \nL 265.667914 225.307051 \nL 266.907504 219.290297 \nL 268.147094 211.816316 \nL 269.386685 202.733502 \nL 270.626275 191.941541 \nL 271.865865 179.414106 \nL 273.105456 165.220515 \nL 275.584636 132.690228 \nL 280.542997 63.748874 \nL 281.782588 49.396392 \nL 283.022178 37.568088 \nL 284.261768 28.845565 \nL 285.501359 23.672997 \nL 286.740949 22.319666 \nL 287.980539 24.856731 \nL 289.22013 31.15103 \nL 290.45972 40.876659 \nL 291.69931 53.542933 \nL 292.938901 68.535386 \nL 295.418081 102.72048 \nL 297.897262 137.940073 \nL 300.376442 169.724754 \nL 301.616033 183.423206 \nL 302.855623 195.423005 \nL 304.095213 205.686179 \nL 305.334804 214.264052 \nL 306.574394 221.274998 \nL 307.813984 226.881912 \nL 309.053574 231.271549 \nL 310.293165 234.63716 \nL 311.532755 237.165153 \nL 312.772345 239.025903 \nL 314.011936 240.368382 \nL 315.251526 241.317949 \nL 316.491116 241.976552 \nL 317.730707 242.424545 \nL 320.209887 242.919086 \nL 322.689068 243.123873 \nL 327.647429 243.230533 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_69\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067526 \nL 89.646091 242.788051 \nL 100.802404 242.368149 \nL 109.479536 241.839003 \nL 116.917078 241.188323 \nL 124.35462 240.303628 \nL 130.552571 239.349706 \nL 136.750523 238.166803 \nL 142.948474 236.727907 \nL 149.146426 235.011759 \nL 154.104787 233.430521 \nL 160.302738 231.19213 \nL 166.50069 228.674234 \nL 172.698641 225.905269 \nL 180.136183 222.318552 \nL 193.771676 215.394171 \nL 202.448809 211.136621 \nL 208.64676 208.367357 \nL 213.605121 206.400722 \nL 218.563482 204.713177 \nL 222.282253 203.659457 \nL 226.001024 202.806634 \nL 229.719795 202.168777 \nL 233.438566 201.756538 \nL 237.157337 201.576863 \nL 240.876108 201.632793 \nL 244.594879 201.923381 \nL 248.31365 202.443715 \nL 252.032421 203.185063 \nL 255.751191 204.135107 \nL 259.469962 205.278295 \nL 264.428324 207.070889 \nL 269.386685 209.124184 \nL 275.584636 211.973675 \nL 283.022178 215.659649 \nL 301.616033 224.986687 \nL 307.813984 227.826009 \nL 314.011936 230.427033 \nL 320.209887 232.755595 \nL 326.407839 234.795094 \nL 332.60579 236.54425 \nL 338.803742 238.014211 \nL 345.001693 239.225373 \nL 351.199645 240.204236 \nL 357.397596 240.980546 \nL 364.835138 241.68776 \nL 373.51227 242.267113 \nL 383.428992 242.691467 \nL 395.824895 242.987835 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_70\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160333 \nL 252.032421 243.012208 \nL 254.511601 242.644972 \nL 255.751191 242.306065 \nL 256.990782 241.801094 \nL 258.230372 241.06311 \nL 259.469962 240.005426 \nL 260.709553 238.519078 \nL 261.949143 236.471419 \nL 263.188733 233.706574 \nL 264.428324 230.048532 \nL 265.667914 225.307631 \nL 266.907504 219.290994 \nL 268.147094 211.817132 \nL 269.386685 202.734433 \nL 270.626275 191.942574 \nL 271.865865 179.415221 \nL 273.105456 165.221677 \nL 275.584636 132.691356 \nL 280.542997 63.749316 \nL 281.782588 49.396562 \nL 283.022178 37.567971 \nL 284.261768 28.845163 \nL 285.501359 23.672328 \nL 286.740949 22.318766 \nL 287.980539 24.855647 \nL 289.22013 31.149817 \nL 290.45972 40.875378 \nL 291.69931 53.541643 \nL 292.938901 68.534138 \nL 295.418081 102.719441 \nL 297.897262 137.939326 \nL 300.376442 169.724296 \nL 301.616033 183.422871 \nL 302.855623 195.422775 \nL 304.095213 205.686032 \nL 305.334804 214.26397 \nL 306.574394 221.274962 \nL 307.813984 226.881906 \nL 309.053574 231.271563 \nL 310.293165 234.637184 \nL 311.532755 237.16518 \nL 312.772345 239.02593 \nL 314.011936 240.368406 \nL 315.251526 241.31797 \nL 316.491116 241.976569 \nL 317.730707 242.424558 \nL 320.209887 242.919092 \nL 322.689068 243.123876 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_71\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788053 \nL 100.802404 242.368152 \nL 109.479536 241.839007 \nL 116.917078 241.188329 \nL 124.35462 240.303636 \nL 130.552571 239.349716 \nL 136.750523 238.166815 \nL 142.948474 236.727921 \nL 149.146426 235.011775 \nL 154.104787 233.430538 \nL 160.302738 231.19215 \nL 166.50069 228.674255 \nL 172.698641 225.905291 \nL 180.136183 222.318574 \nL 193.771676 215.394191 \nL 202.448809 211.136637 \nL 208.64676 208.36737 \nL 213.605121 206.400732 \nL 218.563482 204.713184 \nL 222.282253 203.659461 \nL 226.001024 202.806636 \nL 229.719795 202.168775 \nL 233.438566 201.756534 \nL 237.157337 201.576856 \nL 240.876108 201.632783 \nL 244.594879 201.923368 \nL 248.31365 202.443701 \nL 252.032421 203.185046 \nL 255.751191 204.135089 \nL 259.469962 205.278275 \nL 264.428324 207.070868 \nL 269.386685 209.124161 \nL 275.584636 211.973653 \nL 283.022178 215.659627 \nL 301.616033 224.986669 \nL 307.813984 227.825993 \nL 314.011936 230.427019 \nL 320.209887 232.755584 \nL 326.407839 234.795085 \nL 332.60579 236.544242 \nL 338.803742 238.014205 \nL 345.001693 239.225369 \nL 351.199645 240.204233 \nL 357.397596 240.980543 \nL 364.835138 241.687758 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_72\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160336 \nL 252.032421 243.012216 \nL 254.511601 242.644989 \nL 255.751191 242.30609 \nL 256.990782 241.801129 \nL 258.230372 241.06316 \nL 259.469962 240.005495 \nL 260.709553 238.51917 \nL 261.949143 236.47154 \nL 263.188733 233.70673 \nL 264.428324 230.048728 \nL 265.667914 225.307872 \nL 266.907504 219.291283 \nL 268.147094 211.817471 \nL 269.386685 202.73482 \nL 270.626275 191.943004 \nL 271.865865 179.415684 \nL 273.105456 165.22216 \nL 275.584636 132.691824 \nL 280.542997 63.7495 \nL 281.782588 49.396633 \nL 283.022178 37.567923 \nL 284.261768 28.844995 \nL 285.501359 23.67205 \nL 286.740949 22.318391 \nL 287.980539 24.855196 \nL 289.22013 31.149313 \nL 290.45972 40.874845 \nL 291.69931 53.541106 \nL 292.938901 68.53362 \nL 295.418081 102.719009 \nL 297.897262 137.939016 \nL 300.376442 169.724105 \nL 301.616033 183.422732 \nL 302.855623 195.422679 \nL 304.095213 205.685971 \nL 305.334804 214.263936 \nL 306.574394 221.274947 \nL 307.813984 226.881904 \nL 309.053574 231.271568 \nL 310.293165 234.637194 \nL 311.532755 237.165192 \nL 312.772345 239.025941 \nL 314.011936 240.368416 \nL 315.251526 241.317978 \nL 316.491116 241.976576 \nL 317.730707 242.424563 \nL 320.209887 242.919095 \nL 322.689068 243.123877 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_73\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788053 \nL 100.802404 242.368153 \nL 109.479536 241.839009 \nL 116.917078 241.188332 \nL 124.35462 240.30364 \nL 130.552571 239.34972 \nL 136.750523 238.16682 \nL 142.948474 236.727926 \nL 149.146426 235.011782 \nL 154.104787 233.430545 \nL 160.302738 231.192158 \nL 166.50069 228.674264 \nL 172.698641 225.9053 \nL 180.136183 222.318583 \nL 193.771676 215.3942 \nL 202.448809 211.136644 \nL 208.64676 208.367376 \nL 213.605121 206.400736 \nL 218.563482 204.713186 \nL 222.282253 203.659462 \nL 226.001024 202.806636 \nL 229.719795 202.168775 \nL 233.438566 201.756532 \nL 237.157337 201.576853 \nL 240.876108 201.632779 \nL 244.594879 201.923363 \nL 248.31365 202.443695 \nL 252.032421 203.185039 \nL 255.751191 204.135082 \nL 259.469962 205.278267 \nL 264.428324 207.070859 \nL 269.386685 209.124152 \nL 275.584636 211.973644 \nL 283.022178 215.659617 \nL 301.616033 224.986662 \nL 307.813984 227.825987 \nL 314.011936 230.427014 \nL 320.209887 232.755579 \nL 326.407839 234.795081 \nL 332.60579 236.544239 \nL 338.803742 238.014203 \nL 345.001693 239.225367 \nL 351.199645 240.204231 \nL 357.397596 240.980542 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_74\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160337 \nL 252.032421 243.012219 \nL 254.511601 242.644996 \nL 255.751191 242.3061 \nL 256.990782 241.801144 \nL 258.230372 241.06318 \nL 259.469962 240.005523 \nL 260.709553 238.519208 \nL 261.949143 236.47159 \nL 263.188733 233.706794 \nL 264.428324 230.048809 \nL 265.667914 225.307972 \nL 266.907504 219.291404 \nL 268.147094 211.817612 \nL 269.386685 202.734981 \nL 270.626275 191.943183 \nL 271.865865 179.415877 \nL 273.105456 165.222361 \nL 275.584636 132.692019 \nL 280.542997 63.749577 \nL 281.782588 49.396662 \nL 283.022178 37.567903 \nL 284.261768 28.844926 \nL 285.501359 23.671935 \nL 286.740949 22.318236 \nL 287.980539 24.855008 \nL 289.22013 31.149103 \nL 290.45972 40.874624 \nL 291.69931 53.540882 \nL 292.938901 68.533404 \nL 295.418081 102.718829 \nL 297.897262 137.938887 \nL 300.376442 169.724026 \nL 301.616033 183.422674 \nL 302.855623 195.422639 \nL 304.095213 205.685946 \nL 305.334804 214.263921 \nL 306.574394 221.27494 \nL 307.813984 226.881903 \nL 309.053574 231.271571 \nL 310.293165 234.637198 \nL 311.532755 237.165196 \nL 312.772345 239.025946 \nL 314.011936 240.36842 \nL 315.251526 241.317982 \nL 316.491116 241.976578 \nL 317.730707 242.424565 \nL 320.209887 242.919096 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_75\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303641 \nL 130.552571 239.349722 \nL 136.750523 238.166822 \nL 142.948474 236.727929 \nL 149.146426 235.011785 \nL 154.104787 233.430548 \nL 160.302738 231.192161 \nL 166.50069 228.674268 \nL 172.698641 225.905304 \nL 180.136183 222.318587 \nL 193.771676 215.394203 \nL 202.448809 211.136647 \nL 208.64676 208.367378 \nL 213.605121 206.400738 \nL 218.563482 204.713188 \nL 222.282253 203.659463 \nL 226.001024 202.806636 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576852 \nL 240.876108 201.632778 \nL 244.594879 201.923361 \nL 248.31365 202.443692 \nL 252.032421 203.185036 \nL 255.751191 204.135079 \nL 259.469962 205.278264 \nL 264.428324 207.070855 \nL 269.386685 209.124148 \nL 275.584636 211.97364 \nL 283.022178 215.659614 \nL 301.616033 224.986659 \nL 307.813984 227.825984 \nL 314.011936 230.427011 \nL 320.209887 232.755577 \nL 326.407839 234.795079 \nL 332.60579 236.544238 \nL 338.803742 238.014202 \nL 345.001693 239.225366 \nL 351.199645 240.204231 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_76\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.01222 \nL 254.511601 242.644999 \nL 255.751191 242.306105 \nL 256.990782 241.80115 \nL 258.230372 241.063189 \nL 259.469962 240.005535 \nL 260.709553 238.519224 \nL 261.949143 236.471611 \nL 263.188733 233.706821 \nL 264.428324 230.048843 \nL 265.667914 225.308014 \nL 266.907504 219.291454 \nL 268.147094 211.817671 \nL 269.386685 202.735048 \nL 270.626275 191.943258 \nL 271.865865 179.415957 \nL 273.105456 165.222445 \nL 275.584636 132.6921 \nL 280.542997 63.749608 \nL 281.782588 49.396675 \nL 283.022178 37.567894 \nL 284.261768 28.844897 \nL 285.501359 23.671887 \nL 286.740949 22.318171 \nL 287.980539 24.85493 \nL 289.22013 31.149016 \nL 290.45972 40.874532 \nL 291.69931 53.54079 \nL 292.938901 68.533314 \nL 295.418081 102.718755 \nL 297.897262 137.938833 \nL 300.376442 169.723993 \nL 301.616033 183.42265 \nL 302.855623 195.422622 \nL 304.095213 205.685935 \nL 305.334804 214.263915 \nL 306.574394 221.274938 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.6372 \nL 311.532755 237.165198 \nL 312.772345 239.025948 \nL 314.011936 240.368422 \nL 315.251526 241.317983 \nL 316.491116 241.97658 \nL 317.730707 242.424566 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_77\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349722 \nL 136.750523 238.166823 \nL 142.948474 236.72793 \nL 149.146426 235.011786 \nL 154.104787 233.43055 \nL 160.302738 231.192163 \nL 166.50069 228.674269 \nL 172.698641 225.905305 \nL 180.136183 222.318588 \nL 193.771676 215.394205 \nL 202.448809 211.136648 \nL 208.64676 208.367379 \nL 213.605121 206.400738 \nL 218.563482 204.713188 \nL 222.282253 203.659463 \nL 226.001024 202.806636 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185035 \nL 255.751191 204.135077 \nL 259.469962 205.278262 \nL 264.428324 207.070854 \nL 269.386685 209.124147 \nL 275.584636 211.973638 \nL 283.022178 215.659612 \nL 301.616033 224.986658 \nL 307.813984 227.825983 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.204231 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_78\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645 \nL 255.751191 242.306106 \nL 256.990782 241.801153 \nL 258.230372 241.063193 \nL 259.469962 240.00554 \nL 260.709553 238.519231 \nL 261.949143 236.47162 \nL 263.188733 233.706832 \nL 264.428324 230.048857 \nL 265.667914 225.308032 \nL 266.907504 219.291475 \nL 268.147094 211.817695 \nL 269.386685 202.735076 \nL 270.626275 191.943288 \nL 271.865865 179.41599 \nL 273.105456 165.22248 \nL 275.584636 132.692134 \nL 280.542997 63.749622 \nL 281.782588 49.39668 \nL 283.022178 37.567891 \nL 284.261768 28.844885 \nL 285.501359 23.671867 \nL 286.740949 22.318144 \nL 287.980539 24.854898 \nL 289.22013 31.14898 \nL 290.45972 40.874493 \nL 291.69931 53.540751 \nL 292.938901 68.533277 \nL 295.418081 102.718724 \nL 297.897262 137.93881 \nL 300.376442 169.723979 \nL 301.616033 183.42264 \nL 302.855623 195.422615 \nL 304.095213 205.685931 \nL 305.334804 214.263913 \nL 306.574394 221.274937 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.165199 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424566 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_79\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.72793 \nL 149.146426 235.011786 \nL 154.104787 233.43055 \nL 160.302738 231.192163 \nL 166.50069 228.67427 \nL 172.698641 225.905306 \nL 180.136183 222.318589 \nL 193.771676 215.394205 \nL 202.448809 211.136649 \nL 208.64676 208.367379 \nL 213.605121 206.400739 \nL 218.563482 204.713188 \nL 222.282253 203.659463 \nL 226.001024 202.806636 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185035 \nL 255.751191 204.135077 \nL 259.469962 205.278262 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825983 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.204231 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_80\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306107 \nL 256.990782 241.801154 \nL 258.230372 241.063194 \nL 259.469962 240.005542 \nL 260.709553 238.519234 \nL 261.949143 236.471624 \nL 263.188733 233.706837 \nL 264.428324 230.048863 \nL 265.667914 225.308039 \nL 266.907504 219.291483 \nL 268.147094 211.817706 \nL 269.386685 202.735088 \nL 270.626275 191.943301 \nL 271.865865 179.416004 \nL 273.105456 165.222494 \nL 275.584636 132.692148 \nL 280.542997 63.749627 \nL 281.782588 49.396682 \nL 283.022178 37.567889 \nL 284.261768 28.84488 \nL 285.501359 23.671858 \nL 286.740949 22.318133 \nL 287.980539 24.854884 \nL 289.22013 31.148965 \nL 290.45972 40.874477 \nL 291.69931 53.540735 \nL 292.938901 68.533261 \nL 295.418081 102.718711 \nL 297.897262 137.938801 \nL 300.376442 169.723974 \nL 301.616033 183.422636 \nL 302.855623 195.422613 \nL 304.095213 205.685929 \nL 305.334804 214.263912 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.165199 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_81\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.72793 \nL 149.146426 235.011786 \nL 154.104787 233.43055 \nL 160.302738 231.192163 \nL 166.50069 228.67427 \nL 172.698641 225.905306 \nL 180.136183 222.318589 \nL 193.771676 215.394205 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713188 \nL 222.282253 203.659463 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185035 \nL 255.751191 204.135077 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825983 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.204231 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_82\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306107 \nL 256.990782 241.801154 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519235 \nL 261.949143 236.471625 \nL 263.188733 233.706839 \nL 264.428324 230.048866 \nL 265.667914 225.308042 \nL 266.907504 219.291487 \nL 268.147094 211.81771 \nL 269.386685 202.735093 \nL 270.626275 191.943307 \nL 271.865865 179.41601 \nL 273.105456 165.2225 \nL 275.584636 132.692154 \nL 280.542997 63.74963 \nL 281.782588 49.396683 \nL 283.022178 37.567889 \nL 284.261768 28.844878 \nL 285.501359 23.671855 \nL 286.740949 22.318128 \nL 287.980539 24.854879 \nL 289.22013 31.148959 \nL 290.45972 40.874471 \nL 291.69931 53.540728 \nL 292.938901 68.533255 \nL 295.418081 102.718705 \nL 297.897262 137.938797 \nL 300.376442 169.723971 \nL 301.616033 183.422634 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_83\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.72793 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192163 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713188 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_84\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801154 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519235 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308043 \nL 266.907504 219.291488 \nL 268.147094 211.817712 \nL 269.386685 202.735095 \nL 270.626275 191.943309 \nL 271.865865 179.416012 \nL 273.105456 165.222503 \nL 275.584636 132.692156 \nL 280.542997 63.74963 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844877 \nL 285.501359 23.671854 \nL 286.740949 22.318126 \nL 287.980539 24.854877 \nL 289.22013 31.148956 \nL 290.45972 40.874468 \nL 291.69931 53.540726 \nL 292.938901 68.533252 \nL 295.418081 102.718703 \nL 297.897262 137.938796 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_85\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.72793 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713188 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_86\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801154 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519235 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308043 \nL 266.907504 219.291489 \nL 268.147094 211.817712 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416013 \nL 273.105456 165.222504 \nL 275.584636 132.692157 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844877 \nL 285.501359 23.671853 \nL 286.740949 22.318126 \nL 287.980539 24.854876 \nL 289.22013 31.148955 \nL 290.45972 40.874467 \nL 291.69931 53.540724 \nL 292.938901 68.533251 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_87\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713188 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_88\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801154 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519235 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416013 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148955 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.533251 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_89\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.443691 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_90\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.533251 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_91\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_92\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_93\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_94\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_95\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_96\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_97\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_98\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_99\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_100\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_101\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_102\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_103\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_104\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_105\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_106\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_107\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_108\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_109\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_110\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_111\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_112\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_113\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_114\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_115\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_116\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_117\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_118\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_119\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_120\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_121\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_122\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_123\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_124\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_125\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_126\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_127\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_128\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-dasharray:3.7,1.6;stroke-dashoffset:0;\"/>\n </g>\n <g id=\"line2d_129\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.225552 \nL 74.771008 243.067527 \nL 89.646091 242.788054 \nL 100.802404 242.368154 \nL 109.479536 241.83901 \nL 116.917078 241.188333 \nL 124.35462 240.303642 \nL 130.552571 239.349723 \nL 136.750523 238.166823 \nL 142.948474 236.727931 \nL 149.146426 235.011787 \nL 154.104787 233.430551 \nL 160.302738 231.192164 \nL 166.50069 228.67427 \nL 172.698641 225.905307 \nL 180.136183 222.31859 \nL 193.771676 215.394206 \nL 202.448809 211.136649 \nL 208.64676 208.36738 \nL 213.605121 206.400739 \nL 218.563482 204.713189 \nL 222.282253 203.659464 \nL 226.001024 202.806637 \nL 229.719795 202.168774 \nL 233.438566 201.756531 \nL 237.157337 201.576851 \nL 240.876108 201.632777 \nL 244.594879 201.92336 \nL 248.31365 202.44369 \nL 252.032421 203.185034 \nL 255.751191 204.135076 \nL 259.469962 205.278261 \nL 264.428324 207.070853 \nL 269.386685 209.124146 \nL 275.584636 211.973637 \nL 283.022178 215.659611 \nL 301.616033 224.986657 \nL 307.813984 227.825982 \nL 314.011936 230.42701 \nL 320.209887 232.755576 \nL 326.407839 234.795078 \nL 332.60579 236.544237 \nL 338.803742 238.014201 \nL 345.001693 239.225366 \nL 351.199645 240.20423 \nL 357.397596 240.980541 \nL 364.835138 241.687757 \nL 373.51227 242.267112 \nL 383.428992 242.691466 \nL 395.824895 242.987834 \nL 413.17916 243.16532 \nL 414.41875 243.172013 \nL 414.41875 243.172013 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:2;\"/>\n </g>\n <g id=\"line2d_130\">\n <path clip-path=\"url(#p2b70c44e18)\" d=\"M 43.78125 243.24375 \nL 249.55324 243.160338 \nL 252.032421 243.012221 \nL 254.511601 242.645001 \nL 255.751191 242.306108 \nL 256.990782 241.801155 \nL 258.230372 241.063195 \nL 259.469962 240.005543 \nL 260.709553 238.519236 \nL 261.949143 236.471626 \nL 263.188733 233.70684 \nL 264.428324 230.048867 \nL 265.667914 225.308044 \nL 266.907504 219.291489 \nL 268.147094 211.817713 \nL 269.386685 202.735096 \nL 270.626275 191.94331 \nL 271.865865 179.416014 \nL 273.105456 165.222504 \nL 275.584636 132.692158 \nL 280.542997 63.749631 \nL 281.782588 49.396683 \nL 283.022178 37.567888 \nL 284.261768 28.844876 \nL 285.501359 23.671853 \nL 286.740949 22.318125 \nL 287.980539 24.854875 \nL 289.22013 31.148954 \nL 290.45972 40.874466 \nL 291.69931 53.540724 \nL 292.938901 68.53325 \nL 295.418081 102.718702 \nL 297.897262 137.938795 \nL 300.376442 169.72397 \nL 301.616033 183.422633 \nL 302.855623 195.422611 \nL 304.095213 205.685928 \nL 305.334804 214.263911 \nL 306.574394 221.274936 \nL 307.813984 226.881903 \nL 309.053574 231.271572 \nL 310.293165 234.637201 \nL 311.532755 237.1652 \nL 312.772345 239.025949 \nL 314.011936 240.368423 \nL 315.251526 241.317984 \nL 316.491116 241.97658 \nL 317.730707 242.424567 \nL 320.209887 242.919097 \nL 322.689068 243.123878 \nL 327.647429 243.230534 \nL 352.439235 243.24375 \nL 414.41875 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:2;\"/>\n </g>\n <g id=\"patch_3\">\n <path d=\"M 43.78125 243.24375 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_4\">\n <path d=\"M 414.41875 243.24375 \nL 414.41875 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_5\">\n <path d=\"M 43.78125 243.24375 \nL 414.41875 243.24375 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"patch_6\">\n <path d=\"M 43.78125 22.318125 \nL 414.41875 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n </g>\n <g id=\"text_17\">\n <!-- Probability Density Function Iterations -->\n <g transform=\"translate(114.760625 16.318125)scale(0.12 -0.12)\">\n <defs>\n <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-73\"/>\n </defs>\n <use xlink:href=\"#DejaVuSans-80\"/>\n <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"222.074219\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"283.353516\" xlink:href=\"#DejaVuSans-98\"/>\n <use x=\"346.830078\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"374.613281\" xlink:href=\"#DejaVuSans-108\"/>\n <use x=\"402.396484\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"430.179688\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"469.388672\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"528.568359\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"560.355469\" xlink:href=\"#DejaVuSans-68\"/>\n <use x=\"637.357422\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"698.880859\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"762.259766\" xlink:href=\"#DejaVuSans-115\"/>\n <use x=\"814.359375\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"842.142578\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"881.351562\" xlink:href=\"#DejaVuSans-121\"/>\n <use x=\"940.53125\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"972.318359\" xlink:href=\"#DejaVuSans-70\"/>\n <use x=\"1024.337891\" xlink:href=\"#DejaVuSans-117\"/>\n <use x=\"1087.716797\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1151.095703\" xlink:href=\"#DejaVuSans-99\"/>\n <use x=\"1206.076172\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1245.285156\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1273.068359\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1334.25\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1397.628906\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"1429.416016\" xlink:href=\"#DejaVuSans-73\"/>\n <use x=\"1458.908203\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1498.117188\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"1559.640625\" xlink:href=\"#DejaVuSans-114\"/>\n <use x=\"1600.753906\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"1662.033203\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"1701.242188\" xlink:href=\"#DejaVuSans-105\"/>\n <use x=\"1729.025391\" xlink:href=\"#DejaVuSans-111\"/>\n <use x=\"1790.207031\" xlink:href=\"#DejaVuSans-110\"/>\n <use x=\"1853.585938\" xlink:href=\"#DejaVuSans-115\"/>\n </g>\n </g>\n <g id=\"legend_1\">\n <g id=\"patch_7\">\n <path d=\"M 339.407813 59.674375 \nL 407.41875 59.674375 \nQ 409.41875 59.674375 409.41875 57.674375 \nL 409.41875 29.318125 \nQ 409.41875 27.318125 407.41875 27.318125 \nL 339.407813 27.318125 \nQ 337.407813 27.318125 337.407813 29.318125 \nL 337.407813 57.674375 \nQ 337.407813 59.674375 339.407813 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n </g>\n <g id=\"line2d_131\">\n <path d=\"M 341.407813 35.416563 \nL 361.407813 35.416563 \n\" style=\"fill:none;stroke:#ff0000;stroke-linecap:square;stroke-width:2;\"/>\n </g>\n <g id=\"line2d_132\"/>\n <g id=\"text_18\">\n <!-- State 1 -->\n <g transform=\"translate(369.407813 38.916563)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-49\"/>\n </g>\n </g>\n <g id=\"line2d_133\">\n <path d=\"M 341.407813 50.094688 \nL 361.407813 50.094688 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:2;\"/>\n </g>\n <g id=\"line2d_134\"/>\n <g id=\"text_19\">\n <!-- State 2 -->\n <g transform=\"translate(369.407813 53.594688)scale(0.1 -0.1)\">\n <use xlink:href=\"#DejaVuSans-83\"/>\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"102.685547\" xlink:href=\"#DejaVuSans-97\"/>\n <use x=\"163.964844\" xlink:href=\"#DejaVuSans-116\"/>\n <use x=\"203.173828\" xlink:href=\"#DejaVuSans-101\"/>\n <use x=\"264.697266\" xlink:href=\"#DejaVuSans-32\"/>\n <use x=\"296.484375\" xlink:href=\"#DejaVuSans-50\"/>\n </g>\n </g>\n </g>\n </g>\n </g>\n <defs>\n <clipPath id=\"p2b70c44e18\">\n <rect height=\"220.925625\" width=\"370.6375\" x=\"43.78125\" y=\"22.318125\"/>\n </clipPath>\n </defs>\n</svg>\n",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"iterations = 50\n",
"\n",
"fig = plt.figure(dpi=fig_dpi, tight_layout=True)\n",
"ax = fig.add_subplot(1, 1, 1, xmargin=0, ymargin=0)\n",
"\n",
"iter_mean = [state1.mean, state2.mean]\n",
"iter_var = [state1.variance, state2.variance]\n",
"iter_state_transitions = state_transition\n",
"\n",
"ax.plot(x, [gaussian(i, iter_mean[0], sqrt(iter_var[0])) for i in x], '--', c='r', linewidth=1.0)\n",
"ax.plot(x, [gaussian(i, iter_mean[1], sqrt(iter_var[1])) for i in x], '--', c='b', linewidth=1.0)\n",
"\n",
"label1=None\n",
"label2=None\n",
"\n",
"for i in range(iterations):\n",
" iter_model = MarkovModel(states=[State(iter_mean[0], iter_var[0], state1.entry, state1.exit), \n",
" State(iter_mean[1], iter_var[1], state2.entry, state2.exit)],\n",
" observations=observations,\n",
" state_transitions=iter_state_transitions).populate()\n",
"\n",
" # NEW PARAMETERS\n",
" iter_mean = iter_model.reestimated_mean()\n",
" iter_var = iter_model.reestimated_variance()\n",
" iter_state_transitions[1:3, 1:3] = iter_model.reestimated_state_transitions()\n",
"\n",
" print(f\"mean ({i}): \", iter_mean)\n",
" print(f\"var ({i}): \", iter_var)\n",
" print(iter_model.reestimated_state_transitions())\n",
" print()\n",
"\n",
" state_1_y = [gaussian(i, iter_mean[0], sqrt(iter_var[0])) for i in x]\n",
" state_2_y = [gaussian(i, iter_mean[1], sqrt(iter_var[1])) for i in x]\n",
"\n",
" style = '--'\n",
" linewidth = 1.0\n",
" if i == iterations - 1:\n",
" style = '-'\n",
" linewidth = 2.0\n",
" label1='State 1'\n",
" label2='State 2'\n",
"\n",
" ax.plot(x, state_1_y, style, c='r', label=label1, linewidth=linewidth)\n",
" ax.plot(x, state_2_y, style, c='b', label=label2, linewidth=linewidth)\n",
"\n",
"ax.set_title(\"Probability Density Function Iterations\")\n",
"\n",
"ax.set_xlabel(x_label)\n",
"ax.set_ylabel(y_label)\n",
"ax.grid(linestyle=\"--\")\n",
"ax.legend()\n",
"\n",
"if fig_export:\n",
" savefig(\"report/res/iterated-pdfs.png\")\n",
"fig.show()\n"
]
},
{
"source": [
"# Baum-Welch State Transition Re-estimations"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[[0.92 0.06]\n [0.04 0.93]]\n[[8.37336439e-01 6.15623114e-50]\n [3.50509494e-01 6.49490506e-01]]\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[8.37336439e-01, 6.15623114e-50],\n",
" [3.50509494e-01, 6.49490506e-01]])"
]
},
"metadata": {},
"execution_count": 17
}
],
"source": [
"model = MarkovModel(states=[state1, state2], \n",
" observations=observations, \n",
" state_transitions=state_transition).populate()\n",
"\n",
"print(a_matrix)\n",
"print(model.reestimated_state_transitions())\n",
"model.reestimated_state_transitions()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
]
}