diff --git a/.gitignore b/.gitignore index 90b7769..e7ef8d8 100644 --- a/.gitignore +++ b/.gitignore @@ -205,3 +205,4 @@ dmypy.json # Cython debug symbols cython_debug/ +*.pickle diff --git a/docker-compose.yaml b/docker-compose.yaml new file mode 100644 index 0000000..25af0d1 --- /dev/null +++ b/docker-compose.yaml @@ -0,0 +1,17 @@ +version: '3.9' +services: + ros-nodes: + build: + context: ros-nodes + dockerfile: ros.dockerfile + args: + username: ${username} + password: ${password} + pyrate_branch: ${pyrate_branch} + model_branch: ${pyrate_branch} + ros_nodes_branch: ${ros_nodes_branch} + restart: no + container_name: ros_nodes:st +volumes: + influxdb-storage: + grafana-storage: diff --git a/experiemnts/Experiments.ipynb b/experiemnts/Experiments.ipynb index 767a324..5c9077e 100644 --- a/experiemnts/Experiments.ipynb +++ b/experiemnts/Experiments.ipynb @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 382, "metadata": { "collapsed": true, "pycharm": { @@ -55,8 +55,11 @@ }, "outputs": [], "source": [ + "from typing import Optional, Union, Any\n", + "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", + "import pandas as pd\n", "from PIL import ImageDraw, Image\n", "from shapely.geometry import Polygon, Point\n", "from shapely.ops import unary_union" @@ -64,11 +67,12 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 383, "outputs": [], "source": [ - "size_inner = 50\n", - "SIZE_ROUTE = 100" + "SIZE_INNER = 50\n", + "SIZE_ROUTE = 100\n", + "MIN_DESTINATION_DISTANCE = 25" ], "metadata": { "collapsed": false, @@ -79,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 384, "outputs": [], "source": [ "# https://stackoverflow.com/questions/16444719/python-numpy-complex-numbers-is-there-a-function-for-polar-to-rectangular-co\n", @@ -121,8 +125,17 @@ }, { "cell_type": "code", - "execution_count": null, - "outputs": [], + "execution_count": 385, + "outputs": [ + { + "data": { + "text/plain": "(array('d', [7.834251210977271, 48.43780293223563, 22.372740082639517, 7.834251210977271]),\n array('d', [-60.57486395322814, -63.49031084137326, -27.286653804050623, -60.57486395322814]))" + }, + "execution_count": 385, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def random_polygon(\n", " radius_mean: float = 2,\n", @@ -160,13 +173,13 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 386, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "POLYGON ((-141.43295005166468 -74.41318452416584, -121.15794381202393 -47.146999169918864, -140.7403966165064 -107.63346548905606, -141.43295005166468 -74.41318452416584))\n" + "POLYGON ((-27.951979105071 -66.53134677013938, -45.511910934378555 -68.64134887839623, -37.309218213928624 -98.84106120532472, -27.951979105071 -66.53134677013938))\n" ] } ], @@ -182,27 +195,36 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 387, "outputs": [], "source": [ - "def generate_map(seed=None, plot=True):\n", + "def generate_obstacles(\n", + " seed=None,\n", + " number_of_polygons: int = 50,\n", + " radius_mean: float = 2,\n", + " radius_sigma: float = 1,\n", + "):\n", + " \"\"\"Generates a set of obstacles from a union of triangles.\n", + "\n", + " The union of triangles meas that if polygons overlap o polygon containing the union of those polygons is returned.\n", + " Args:\n", + " seed: A seed to generate a set of obstacles from.\n", + " number_of_polygons: The number of polygons that should be drawn.\n", + " radius_mean: The average radius defining a circumcircle of an obstacle triangle.\n", + " radius_sigma: The variance of a radius defining a circumcircle of an obstacle triangle.\n", + "\n", + " Returns:\n", + " A list of unified obstacles.\n", + " \"\"\"\n", " if seed is not None:\n", - " np.random.seed(seed=seed)\n", - " if plot:\n", - " plt.figure(figsize=(8, 8))\n", - " plt.axis([-SIZE_ROUTE, SIZE_ROUTE, -SIZE_ROUTE, SIZE_ROUTE])\n", - " number_of_polygons = 40\n", + " np.random.seed(seed)\n", " polygons = []\n", " for _ in range(number_of_polygons):\n", - " poly = random_polygon(1.9, 1)\n", + " poly = random_polygon(radius_mean, radius_sigma)\n", " if poly.contains(Point(0, 0)):\n", " continue\n", " polygons.append(poly)\n", " polygon_list = list(unary_union(polygons).geoms)\n", - " if plot:\n", - " for polygon in polygon_list:\n", - " plt.fill(*polygon.exterior.xy)\n", - " plt.show()\n", " return polygon_list" ], "metadata": { @@ -214,19 +236,162 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 390, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "POINT (32 36)\n" + ] + } + ], + "source": [ + "def generate_destination(obstacles: list[Polygon], seed: Optional[int] = None) -> Point:\n", + " \"\"\"Generates for a map.\n", + "\n", + " Can be used to generate a valid destination for list of obstacles.\n", + " Args:\n", + " obstacles: A list of obstacles.\n", + " seed: The seed determining the point.\n", + "\n", + " Returns:\n", + " A goal that should be reached by the ship.\n", + " \"\"\"\n", + " # sets the seed\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + "\n", + " # generates the point\n", + " point: Optional[Point] = None\n", + " while (\n", + " point is None\n", + " or abs(point.x) < MIN_DESTINATION_DISTANCE\n", + " or abs(point.y) < MIN_DESTINATION_DISTANCE\n", + " or any(obstacle.contains(point) for obstacle in obstacles)\n", + " ):\n", + " point = Point(np.random.randint(-SIZE_INNER, SIZE_INNER, size=(2,), dtype=int))\n", + " return point\n", + "\n", + "\n", + "print(generate_destination(generate_obstacles(42), 42))" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 419, "outputs": [ { "data": { - "text/plain": "[,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ,\n ]" + "text/plain": "
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\n" }, - "execution_count": 64, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_obstacles(\n", + " obstacles: list[Polygon],\n", + " destination: Optional[Point] = None,\n", + " obstacle_color: Optional[str] = None,\n", + " legend: bool = True,\n", + ") -> None:\n", + " \"\"\"PLots the obstacles into a matplotlib plot.\n", + "\n", + " Args:\n", + " obstacles: A list of obstacles.\n", + " obstacle_color: The color the obstacles should have. Can be None.\n", + " If none all obstacles will have different colors.\n", + " legend: If true plots a legend.\n", + " Returns:\n", + " None\n", + " \"\"\"\n", + " plt.figure(figsize=(8, 8))\n", + " plt.axis([-SIZE_ROUTE, SIZE_ROUTE, -SIZE_ROUTE, SIZE_ROUTE])\n", + " plt.title(\"Test\")\n", + " for polygon in obstacles:\n", + " if obstacle_color is not None:\n", + " plt.fill(*polygon.exterior.xy, color=obstacle_color, label=\"Obstacle\")\n", + " else:\n", + " plt.fill(*polygon.exterior.xy)\n", + " plt.scatter(*destination.xy, marker=\"X\", color=\"green\", label=\"Destination\")\n", + " plt.scatter(0, 0, marker=\"o\", color=\"green\", label=\"Start\")\n", + " if legend:\n", + " # https://stackoverflow.com/questions/13588920/stop-matplotlib-repeating-labels-in-legend\n", + " handles, labels = plt.gca().get_legend_handles_labels()\n", + " by_label = dict(zip(labels, handles))\n", + " plt.legend(by_label.values(), by_label.keys())\n", + " plt.show()\n", + "\n", + "\n", + "o = generate_obstacles(4)\n", + "plot_obstacles(o, generate_destination(o, 4), \"RED\")" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 391, + "outputs": [ + { + "data": { + "text/plain": "", + "image/png": "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\n" + }, + "execution_count": 391, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "generate_map(seed=3, plot=False)" + "def generate_image_from_map(\n", + " obstacles: list[Polygon], destination: Point, solution\n", + ") -> Image:\n", + " \"\"\"Generate an image from the map.\n", + "\n", + " Can be used to feed an ANN.\n", + " - Obstacles are marked as reed.\n", + " - The destination is marked as green.\n", + " - The points where the route will likely change are blue.\n", + "\n", + " Args:\n", + " obstacles: A list of obstacles as shapely Polygons.\n", + " destination: A destination that should be navigated to.\n", + " \"\"\"\n", + " img = Image.new(\n", + " \"RGB\",\n", + " (SIZE_ROUTE * 2, SIZE_ROUTE * 2),\n", + " \"#ffffff\",\n", + " )\n", + " draw = ImageDraw.Draw(img)\n", + " for polygon in obstacles:\n", + " draw.polygon(\n", + " list(np.dstack(polygon.exterior.xy).reshape((-1)) + SIZE_ROUTE),\n", + " fill=\"#FF0000\",\n", + " outline=\"#FF0000\",\n", + " )\n", + " img.putpixel((int(destination.x) + 100, int(destination.y) + 100), (0, 0xFF, 0))\n", + " return img\n", + "\n", + "\n", + "o = generate_obstacles(42)\n", + "g = generate_destination(o, 42)\n", + "og_img = generate_image_from_map(o, g, None)\n", + "og_img" ], "metadata": { "collapsed": false, @@ -237,91 +402,51 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 392, "outputs": [ { - "data": { - "text/plain": "
", - "image/png": 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\n" 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5l04nbWa+0+UkrFhcg7fA340xK4wxN4ePlVhr94dvHwBKYlBHUsnNzT3qWEmJ/htFkkX7pjqsf/Ruvxpq6qT2t+s4+PBmQu2j4zJFpMWiBX+StXavMaYYeM4Ys7H7ndZaa4w5avhk+I+BmwEmTJgQgzITS15ez2ELKSkp5OTkOFSNiESarkV3aV1eiX9rPXmXTSd1Wq7T5SSUqLfgrbV7w/9WAY8Ci4BKY8xYgPC/Vb087y5rbYW1tqKoqCjaZSacI1vwJSUlGJMca1eLjHahjmBSbB8bKcF6PzW/fof6J7YR6hi9vRpDFdWAN8ZkGGOyDt0GzgTWAk8A14cfdj3weDTrSEZHtuCLi4sdqkREIq19w0Fsp3ZgO1Lzq/uouu1t/LsanS4lIUS7i74EeDTcsvQAD1hrnzHGvAU8ZIz5CLALuCLKdSSd3lrwIpIcRtvo+aEI1LRRfedqst43juzTJ2I8Ws6lL1ENeGvtduC4Xo7XAqdF89zJLjs7G2PM4dWfFPAiR7PW0rmnGW9pJiZBtl8NtQdo33TQ6TLim4Wmf+6hbcNB8q+Yga8s0+mK4pL+9ElQbre7x6A6ddGLHM0Yg6cojfontxGob3e6nEFpW1cLQS3bOhiBylaqfrmKxhfexQZ1SeNICvgEdqibPjc3l9TUVGeLEYlTrlQPWe8bR809a2l9J/7nlat7fohClsbndlF1x2o6K1ucriauKOAT2KGBdmq9i/TPk5dK3uXTOfinTdQ9uiVuR2IHWzrxb61zuoyE1Lmnmcqfv03Tv/dgQ+oBAQV8QjvUgtf1d5GBpUzIJv+K6bS8cYCqX6yiY3/8tfba1taAepqHL2BpeGoH1XetIVDb5nQ1jlPAJ7BDLXgFvMjgpB9bRPaZEwlUtVL1y7dpfm1fXG1T2qbu+Yjo2NlI5c9W0vz6/rh6f2NNAZ/A1IIXGbqsU8eTvqAYApb6x7d1bVPa0ul0WQQb/fh3NDhdRtKwHSHqH9tKzb1rCTT4nS7HEQr4BJabm4vb7SY/X5sxiAyWMYa8S8rxTc4GwtuU/mwl7dvqHa2rdU1N184dElH+LfVU/mQFLSsqR11rXgGfwDIzMyktLcXtdjtdikhCMR4XBR+ajaega/ZJqLGDml+/Q8OzOx2bbtWmteejxrYHqfvzZmp/v4FgU4fT5cSMAj6BuVwupk+f7nQZIgnJneGl4IY5mLTwel8Wml7cTfWv1hA4GNs584GD7XS82xTTc45G7etrqfzpioSYLhkJCvgEN3PmTKdLEElY3qJ0Cj40C1zvrXLX8W4TlT9bSevqo/bAihrtHBcDBrxj0kmdVUCotTNup0pGUiy2i5UoKiwsdLoEkYSWOjWXvEumUffwlsPHrD/IwQc30b65ntyLpuLyRfcymEbPR547JwXf+Ex847Pxjc/EW5aFK2V0Xc5UwCc4bRErMnIZFWMI1LTR9M89PY63rqikY1cj+VfPjNp6551VrXTG4Zz8RGJS3PjGZ3V9jOv6153tc7osxyngRUSA7DMnEahpo21tz33YAzVtVN2+ipxzJpO5tDTif1Rradohchu8YzMOB7lvfBaewjSMS42dIyngRUQA4zLkXTGDQP0aOvc097wzaGn463b8W+rIu3w67szItA6ttRo9PwB3fiq+Ce+FuW9sJsar4WODof8lEZEwl89N4XVzcOek9Hp/+6Y6Kn+6kvYtkVkvvnN/C4FqLanan8wlYym4aiZZS8tImZCtcB8C/U+JiHTjzvZ1TZ/rY2BdqLmTmnvWUv/0DmxgZHPmNbhuYE0v7SbkT/4R79GggBcROYJvbAb518yEfi7rNv9rD1V3riZQM7wWuLVW198HIdQSoPnVfU6XkZAU8CIivUibmU/u+VP6fUznnmYqb3ublpWVQ379jt1NBOuTdI10T2QHvDX9aw+h9kBEX3M00CA7EZE+ZC4to7OmjZbX9vf5GNsRpO6hzfi3hOfMpw7u12qydM8bnxvfuEy847NIGZ+Fd3wWrlQPDU9tp+XNAxE5h20L0PzyXrJPnxiR1xstFPAiIv3IPX8qgdp2/Jv7H1jX+nYV/ncbKbhqJr7xWf0+1oZs1+YyicYF3pKM90a0j8/CU5ze6xS1vEvKSZ2VT91fthBqHvlufU0v7yXzxFJc6d4Rv9ZooYAXEemHcRsKrplJ1R2rCVS29vvYYG07VXesJuesiWQuG9fn3Gz/jgZCCbDpiTsvpUeYe0szh7SqX9qsAny3ZlH3yFba19cO/IR+2PYgTS/vJefMSSN6ndFEAS8iMgBXqofCG+ZQ9ctVA7dGQ5aGv+2kfWs9+ZfP6HVFtXic+25SPeGlXd9bEc6dNfL5/u5MHwXXzqJ1eSX1T27HjmAN+OaX95G5tAx3hlrxg6GAFxEZBE9eKgXXzab6rndgENPj/FvqqfzZSvIun07azPzDx20wRJvTu5m5Dd7SzMPXzH3jMrtWg4vS0tfGGFLKc0ktz6Vt3fBb8rYjSNO/9pB7zuQIVpe8FPAiIoOUMiGb/Cumc/CBjYN6fKilk9rfriNzaSk550zGeFz4t9YTao3tiHBPYVrPrvaxGRhPbCZRdVa10vTSHjorW0ifW0jOuZNpfaeGxud2QdAO+fVaXt1H1kllEeldSHYKeBGRIUg/tohAbRuNz+4a9HOaX9mHf3sD+dfMjPrcd1emt8emK75xmY4MTOvY00TbulqMx0XW+8bhLU4/fF/2KeNJLc/j4J82Eajqf1zDkWxniKaX9gw4hVHAWDv0v6BiraKiwi5fvtzpMkREgK5Faur+vJnWlUPbM/7QMqu2c2Qr4PUm5/wppM0pwJ2b4tguk9ZagnV+AgfbcaV7unoK+qnFdgZpeGYnza8McSEbj4uxX6jAnd37ksLJwhizwlpbMdzna6EbEZEhMsaQd0k5vsk5Q3qe7QxFJdzTFxSTdVIZnrxUZ7eQDnWNvE+dlouvNHPAWozXTe4FUyn86DFD2941EKLxxd0jLDb5KeBFRIbBeFwUfGgWnsK0qLy+OyeFtGMKurapPakM3L2HpSvbFzfd1cZthvUHRuq0PEpuXUDacUWDfk7LmwcI1LcP+Vyjia7Bi4gMkzvDS8H1s6m6fTW2bfgD50yKu8f0NN/4rKNatJknltL43C5aV1VBtyureZeUJ8XiL650LwVXz6R1Vj51j23DDrQ0bdDS9I/d5F1SHpsCE5Ba8CIiI+AtSqfw2ll9trAH9RqlmeRdPp2csyZ1XUfvpbvak59K/pUzKP7kfFLKc4GurvnuU/CSQfq8YkpuXUDKtNwBH9uyvJLAQbXi+6KAFxEZoZQpueRdPPyWZMeOBqp+tnJQc8R9pZkUfWQuhR85Jm665iPNk5tC4YePIef8Kf1vXBOyNL7wbuwKSzAKeJEos8OY6yuJJ6OihKxTxg/7+aHWALW/X0/dY1uxnQOv9pZanpcUXfN9MS5D1klllHxyPt6xGX0+rvXtSjqHuWVvstM1eJEoO/jnTfi31ePOScGTk4I7N/wRvu3JScGV5etz3XJJHNlnTiRQ2zailepaXt+Pf0cDBdfMxFvSd7CNFt6SDIo/MY/G59+l6aXdPcYfABCCphfeJf/KGY7UF88U8CJRln3KeCpXVRNq6qRzT3PvD3IZ3Nm+w6Hf9ceA773b+alJ3VpLFsZlyLt8OoG69r7f60EIVLZS+fNV5J4/hYzFY5yd+hYHjMdFztmTSJ2Zx8GHNhM84rp766oqsk4d32MxHdFCNyIxUfuH9bStHf4a3JlLS8m9YGoEK5JoCjZ1UPXLVQTr/SN+rdQ5BeRfmhwj5SMh1B6g/q/baV1e2eN42rGFFFwzy6GqokML3YgkgKz3TxjR872lmRGqRGLBneWj4Po5mCFsrdqX9nW1VP5sJf7tDRGoLPG5Uj3kXzadgmtn4cp4rxO6bU0NnQdaHKws/ijgRWLAV5pJ6qzhT2fylSngE41vbAb518yECPSuBxs6qL57DQ3P7dKgzbC0OYWU3Ho8qd2mCTY8N/j9AUYDBbxIjGQPtxXvceEp0rXFRJQ2Mz9yl1Zs12Cy6rvWEKjT3G841FMym9yLp2G8LtrX1dKxd/hjH5KNAl4kRnzjs0iZnjfk53nHZmBGsIiKOCvzxFIyThgbsdfr2NVI5c9W0romurvSJQpjDJmLx1L86QX4xmd1bUMrgAJeJKayTxt6K95XqqlSiS73/Kmkzhj6H3d9se1BDj6wkbpHthDqGHjO/GjgLUyj6GPH4RufhX9nA50HWmhbV0v7tnpsaHRe1tA0OZEYSpmYTcrUHPzbBj9gyqvr7wnPuA35V8+k+s7VdB4Y2v7n/Wl58wD+HQ3kXz0T3ygaiGmtJdTSSaC2ncDBdoK1bYdvBw620fjcLrxjMsg+fQIpU3JG7TRDBbxIjGW9fwL+be8M+vGj6Rd3MnOleii4YQ5Vv1hFqLkzYq8bqG6j6peryD13MhknliZVmIXaA3TsbgqHd1eIB8NBbvvoufCUpJN74VTS5hSO+sWj1EUvEmMpU3LwTcoe3INdRquZJRFPbiqF188BT4R/9QYt9U9up/Z36wk2d0T2tR1kUty481IhGCJQ2Yp/cx2dB1p6DXdPcTr518yk5NMLSJ9bNOrDHdSCF4k5YwzZp02g5p61Az7WW5KO8erv8GTiG59F/pXTOXj/xoi/dvvGg1T+7G3yr5xO6rTIXfN3ijEGb2Ea3sIyMpeWYTtD+Hc20L6pjvbNdQSqWvEUpZF92gTSjlWoH0kBL+KAlGm5+MZn0bG7qd/HaYGb5JQ+t4jAWe00Prsz4q8dauqg5p61ZL1vHNlnTMS4k+cPRON1kVqeR2p51x8vwQa/9nHoR9TeeWPMeGPMi8aY9caYdcaYT4ePf80Ys9cYsyr8cW60ahCJV8YYsgYxol4j6JNX1injSD++JDovbqHpn3uounMNgdrk3WnNnZOicO9HNP+0CwCfs9bOBpYAnzDGzA7f9xNr7bzwx9NRrEEkbqXOyBtwhLxG0CcvYwx5F0/DNzknaufo3N1E5W1v07qqKmrnkPgVtYC31u631q4M324CNgBl0TqfSKIxxpB9aj/7hxvwjlXAJzPjcVHwoVl4CtOidg7rD3Lwj5s4+NAmQv6RzZlPhM3J5D0xuThjjJkEzAfeCB/6T2PMGmPMvcaYxB8JIjJMqbML8I7pfRlaT2EarpSRb1Yi8c2d4aXghjm40qM7JKp1ZRVVP3+bjj39j/voi+0MQSjCRUlURT3gjTGZwF+AW621jcAdwFRgHrAf+FEfz7vZGLPcGLO8ulpLMkpyMi7T505zGmA3engL0yj40CyI8pLEgZo2qu5YTdO/9gx5dbdQa6eWTE4wUf2T0RjjpSvc77fWPgJgra3sdv/dwF97e6619i7gLujaDz6adUryWvPCM2x69d+4PR5cHi9ur5clF19B0cTJTpd2WNoxhXiK0ghU9xwMpR3kRpeUKbnkXVxO3cObo3uioKXh6R20b60n//LpuLN8g3paqD2AOyclurVJREVzFL0B7gE2WGt/3O14910XLgYGngwsMgz7Nm/ghXvu4N21q9mxagXblr9OfmlZXIU79N2KVwt+9MmoKCGrv3EZEeTfXEflz1bSvrluUI8PtWvN+0QTzS76pcC1wPuPmBL3fWPMO8aYNcCpwGeiWIOMUq0N9Tz5k+8SCr73S2n+2Rdw4uUfdLCqvqUfW4SnILXHMU2RG52yz5hI2tzCmJwr1NxJzb1rqX9qOzbQ/wV22x6ISU0SOVHrorfWvgz0dsFG0+IkqkKhIE/d9n2aD9YePjb75Pdz6vU3xe063cZtyDp1PHUPbwHAnZeCK93rcFXiBOMy5F8xnap6P50DLIQUKc3/3ot/e9emNd4+RvSHFPAJJ3mWOBIJe/Wh+3l37ZrDn09buISzPvZpjCu+v93T5xfjzuu6xqkNZkY343VTeN1s3Lmxu+bdubeZqttW0rKistfpcOqiTzzx/RtPZIi2rXiDNx596PDnE+bO47xPfxGXO/6nmxm3i6xTuq6/6vq7uLN8FN4wBxPDqZK2I0Tdnzdz8E+bjmqxq4s+8SjgJWnUVx7gb784PJ6TseUzuOi/voLHmzhd3RnHl+DO8WkFOwHAOyaD/Gtm9n6xM4raVlVTedvb+N9tBMB2BrEBTWZKNAp4SQqdHX6e+PG38be2AFA4YRKXfOnr+FKjt0JYNBiPi6z3jdcUOTksbUY+RR87jqxTxnX94RejsA8ebKf6zjU0/nM3gTo/rtT47wWTnrSbnCSFf9x7J9U7twOQO2Ysl33lm6RmJmZIZiwag4n0fuGS0FImZpMyMZucsyHY0ol/Wz3+rfW0b60neLA9eicOWRqf2UnLmwfI7mNBJolfCnhJeO/84++sffE5ADLzC7jsK/9HRm7iroCscJf+uDO8pB9bRPqxRQAEatto31qPf0sd7dsasG2Rv1YePNhOw9PbcWV4SJtVEPHXl+hQwEtCq9y+lRfuvQOAtKxsLvvK/5FTHKUtOEXikKcgjcyCNDIXj8WGLJ17m2nfWod/Sz3+XY0QjMy181BrgNrfrSfzxFJyzpmM8eoP0XingJeE1dbcxBM//g7Bzk58aelc+uVvUDAuNquAicQj4zL4xmfhG58Fp04g1BGkY2cj7Vvq8G+tp3N/y4jP0fzqvq4589fMxFvc+0ZJEh8U8JKQbCjE337xIxqrK/F4fVz8xa9SMmWa02WJxBWXz03q9DxSp3ddsgo2deDfVk/7lnr8W+sINnQM63U7D7RQ9fO3yb1gKukLS+J2AanRTgEvCemNRx9ix9vLcbndXPi5LzNu1jFOlyQS99xZPtLnFZM+rxhrLYGaNvxbugbr+bfVY4ewX7ztDFH3yBbat9SRd0k5rjTFSbzROyIJZ+eat3nlz/eDMZz7yf9i8vwKp0sSSTjGGLxF6XiL0sk8sRQbtHTsaeoarLe1no53m2AQW8q2vVNDx+4m8q+aQcqknBhULoOlgJeE0lhTxVO3/QCs5YybP8mME5Y5XZJIUjBuc3g6XvbpEwn5A/i3N9D2Tg2tK6v6fW6w3k/1r9aQffpEsk4dj3Gpyz4eKOAlYQQ6O3nyJ9+lvamR933owxx72llOlySStFwpXVPijMvQsaeZoo8c09WVv7We9q11hJo6ez7BQuNzu2jfWkf+lTPxxHAdfemdAl4Sxku//zUHtm5m8cVXUnHBJU6XIzIqBOr8uNI8uHNSyDi+hIzjS7qu31e2Hh6s59/egO3s2m62Y0cjlT9bSf6l5aQdE5ttb6V3CnhJCBv+/SKrnn2KeWedx9IrP+R0OSKjRrCu/agBdMYYvGMy8I7JIGtZGTYQouPdxvCCO/V07Gmi9g8byFg8htzzp2C8WubWCQp4iXs17+7k73f/glnLTuX9N9yiKTkiMRToJeCPZDwuUqbkkjIlF86EUGsn/u0NtG+tp/bBTeScORHvmIzYFCyHKeAlrvlbW3nix99h4tz5nP0ft8b9nu4iySZY5+9aOGcIXOle0o4pPNxFH2zqwFqrP85jTL8tJW5Za3n2zp+SVVDA+Z/+QkLs6S6SbAJ17ZgRznF3Z/kU7g5QwEvcWvHUYzTX1nLRf/0PHp/P6XJERh3bGSTU3KlFbBKUAl7i0p4Na9nw739y8X9/DV+a1rsWcUKgzg+AK1UBn4gU8BJ3WurrePmP93Hxl/6XtMyhXfsTkcgJ1nXtNa8WfGJSwEtcCQWD/PO+X3POJz5HZl6+0+WIjGqHW/AK+ISkgJe4svyvj7Lkkqu0p7tIHDjcgk9XwCciBbzEjV3vrGLi3Hna010kTgTCAT/SUfTiDL1rEheaamtIy8qmeNIUp0sRkbCgBtklNLXgxXHBQABrrcJdJM4E6trBZTA+RUUi0rsmjnO5XGQXFjldhoh0030OvBapSUwKeHGclp8ViT8aQZ/49JtVRESOojnwiU8BLyIiRznUgtcI+sSlgBcRkaOoBZ/4FPAiInKUgAI+4SngRUTkKEENskt4CngRETmKWvCJTwEvIiI9HJoDDwr4RKaAFxGRHg6NoAcwWqY2YSngRUSkh0Mj6EEt+ESmgBcRkR66t+AV8IlLAS8iIj2oBZ8c9M5Jwnt5Sw0nlRc6XYbIkFhrCYUswc5Q10cgRKDb7WBniECg2+eHbneGCAYsgc7g4duHH9vjMUe8XvjzULfjxsD131mK74gQD3QP+HTFRKLSOycJb/3+Btbvb+Dmk6c6XYokCBuyBIPhEO0WqF3/WoKBYPj4oQAOhkP16MDsNVQDPT8P9RHeWGf/H6ZVFB8V7vDeHHgMGJ87xlVJpCjgJeEtKy/inJ/9m/yMFC47fpzT5cgAQsFDoRcOzEAwHKqDD8w+HzNAC/ZQsIYCDidrnJixaEyvxw+14E2qB+PSVrGJSgEvCW/mmCwKM1P44l/WkJvm5fTZJU6XNKpZa9m7qY53XtpLze6mI7qaLTakcI0HqRlexs/JP+q45sAnDw2yk4RnjGFZeSHBkOUTD6zkrZ0HnS5pVDPGMG5mPmfffAyn3zCb8XMKukK+I6RwjyPTKopxu4+OAI2gTx4KeEkKy8KD7PyBEB/+7Vts2N/ocEVijGHstFxOu24WN37vJE754AxKJmc7XZaEzVjce/d89xH03uL0WJUjUaCAl6Rw0rT3RtE3tQe47t432X2w1cGKpDtfmoc5y8q47IsVXPXVRRx32nhSM7xOlzVqZRem9vnH1qEWvLcsk9wPaOBqInMs4I0xZxtjNhljthpjvuRUHZIcirNTmTkm6/Dn1U1+PnTPG1Q3+ft5ljihoDSTky4v54bvLuWsm45hwux80DiumJq+eAzG9P6fHqxrx12QSuENc3ClqIs+kTkS8MYYN/BL4BxgNnC1MWa2E7VI8lh2xFz4XbWtXH/vmzS2dzpUkfTH7XUx7fhiLvjUPK771oksumAyWfmpTpc1KvQ1eh7AdoYo+vAxuLN8MaxIosGpFvwiYKu1dru1tgP4I3CRQ7VIklhWXnTUsfX7G7n5vuW0dwYdqEgGKys/lYXnTeba/zuBCz81j2kVxbg8atZHQ/HELHJL+r62nn36BDwFaTGsSKLFqf6XMmB3t8/3AIu7P8AYczNwM8CECRNiV5kkrEWT8/F5XHQEQj2Ov779IJ/+49v88poFeHoZNSzxw7gM42fnM352Pu3NnWx68wAbXtlH7d4Wp0tLGtP7GFx3iCtdYyOSRdz+trPW3mWtrbDWVhQVHd0yEzlSqtfNoklHz+sFeHZdJf/z2Fqs1TStRJGa6eW494/nyv9ZxGVfqmDOslK8qVpVbSSMy1BeoXUiRgunWvB7gfHdPh8XPiYyIsvKC3l5a02v9/3xrd0UZPr4/FkzY1yVjIQxhpJJ2ZRMymbpZeVsW1nF+lf2sX9rg9OlJZzxs/JJz9a19dHCqRb8W0C5MWayMcYHXAU84VAtkkR6uw7f3S9f3MY9L++IUTUSad4UNzNPGMsl/3U8H/z6EhacNYE0BdagzVis1vto4kgL3lobMMb8J/As4Abutdauc6IWSS6Hlq2tae57etw3/7qe/AwvF8/XuvWJLLcknRMunsaiC6ew651aNry6n11ra7VaXh88KW4mH6fLnaOJY5McrbVPA087dX5JTi6X4aRpBTy2al+/j/v8n9eQm+bj1JnFMapMosXtdjFlXhFT5hXRUu9n4+v72fDKfhqq25wuLa5MmVeIN0VjGEaTuB1kJzJcA3XTAwRClv+4fwUrdmnd+mSSkZvC8WdP4oPfWMIHPjufGYvH4Pbq1xz0P/ddkpO+8yXpHLngTV/aO0Pc+Ju32HSgKcoVSawZYyibnsfpN87mxu8t5X1XT6doQtbAT0xSadk+xs3Mc7oMiTEFvCSdI5et7U9je4Dr7n1D69YnsZR0L8e8bxxXfHkhV/7PQuaeOo6U9NG1BOv0ihJcWgNi1NE7Lkmp++YzA6ls9HPdvW/2OzBPkkPhuCxOvnI6N3xvKWd8ZPaoadVO1+j5UUkBL0lp2fShjRbeUdPCjb95i2Z/IEoVSTzxeN1MXziGi26dz4e+eQIV504iIzfF6bKiIrckfVRfnhjNFPCSlBZN6lq2dije2dvAzfctxx/QuvWjSU5RGosvnMJ13z6R8//zOKbOL8LlSp518GcsLulz5zhJbgp4SUppvr6Xre3Pq9tq+cyfVhHUXOpRx+UyTDymgLNvmcv1313KiZdOI29M35uyJIryhRo9P1qNrpEmMqqc1M+ytf15+p0D5Kav5VsfOEYtn1EqPdvH/DMmMO/08VTuaGT9y/vYsqKKgD+xenfGTs0hp0g7w41WasFL0hrsdLnePPDGu/zkuc0RrEYSkTGGMVNyeP91s7jxe0s59dqZjJmS7XRZg9bXznGhYFAbL40CasFL0po1JpvCTB81zR3Dev5t/9hKfoaPG5ZOjnBlkoh8qR5mLy1l9tJSDu5rYf2r+9j0+gHamzudLq1XLpdh2oLeV2o0xrB34zp2vbMKX2oapTNmUzJ5Kh6f1vVPJgp4SVoul2HptEIeH2DZ2v587cn15GX4uGheWQQrk0SXX5rBSZeVc8IHprJzTQ3rX9nP7vW1xFOjeMIxBaRm9r63u3G5GDfrGMpmzGbzG6/y3F0/p/7APoqnTKNsxmxKp8+kdPosMnJHxzTCZKWAl6S2rLxoRAEP8LmHVpOT5uWUGVq3Xnpye1xMXVDM1AXFNB1sZ+Nr+9nw6n6aatudLo0ZfXTPd2dcLmaccBLTF5/I5jde4bWHH2T5k48cvj+3ZCyl02cyYe48Zp/8fo1JSTAmEa7DVFRU2OXLlztdhiSgysZ2Fn/7hRG/TprXzQM3LWb+BLVopH82ZNmzuY4NL+9j26pqQoHY/471pbq58fsn4fENbXMZGwqx6fWXee3hBzm4d3eP+5ZdcwOLLroskmXKAIwxK6y1FcN9vlrwktRKslOZUZLFpsqRrTff1hnkxt++xZ9vOYHyEi0aIn0zLsP4mfmMn5lPe0snm988wPpX9lO7pzlmNUxdUDzkcIeuFv3ME09m+pKlbH79lR5B/+8HfktWfgGzlp0a6XIlSjSKXpLeSSMYTd9dfWsn1937JnvrtQ2pDE5qhpdjTx3PlV9ZyOX/XcGck8vwpUZ/y9bpi0a2NK3L5WbmiSdz/Q9/wXmf+jz5peMAeOaOn/Hu2tWRKFFiQAEvSW8k0+WOtL+hnevueYODLcMbmS+jkzGG4onZnHLNDG74/kmcfsMsSstzo3KujNwUSqdH5lKSy+Vm5tL3cf2Pfsm5n/o8uSVjePyH36L63Z0ReX2JLl2Dl6TX1hHkuK//nY5gKGKvedz4XB746GIyUnSVS4avvrKVDa/uZ+Nr+2ltjMwfjfPPmMCJl06LyGsdKRQKsunVf7P2n89z9n/cSlZB5P54lqON9Bq8WvCS9NJ8bhZOjuzguNW76/nYH1bQEYjcHw0y+uSWpHPCxVO5/jsncu7Hj2XSsYWYEa6D39fiNpHgcrmZddIpXPrlr9PeErsxBTI8CngZFU6aNrTd5Qbj31tq+OxDqwhp3XoZIZfbxeRjCznv48dy/XdO5ISLp5JTPPQlZgvKMigclxmFCntyudwUTZgU9fPIyCjgZVSI5HX47v66Zj9fe3JdQi/7aYNB/Dt20PLGm9iQeiSclpGTwoKzJvLBry/h4s/NZ8aSMXi8g/tVPX2RNpaR9+gCoowKs8dmU5DhozYKg+Pue20XBRkpfPr08oi/dqQF6urwb9qEf/Nm2jdtwr9pM/6tW0mvqGDst7+Fcelv/nhhjKG0PI/S8jyWXTmdLW9VsuGVfVTt6nvKZ/nCkY2el+SigJdR4dCytU+sHtmqdn35yfObyc/0ce2SiVF5/ZFoW7OG6tt+jn/TJgLV1T3uMykpFH/+8+R98BqtUhbHUtI8HHNyGcecXEbNnmY2vLKPTW8ewN8SOPyYsum5ZOWnOlilxBsFvIway8qjF/AAX318LXnpXs4/tjRq5xiOtrVraXn55aOOp8yaRdkPvk/KtOiMuJboKByXybIrp3PCJVPZsaqG9a/sY8/GuqgOrpPEpICXUWNZeeQH2nVnLXzmT6vITfNFbHGdSAjW1fU8YAwFH/0IRZ/8JEa7hyUsj9dN+cISyheW0FjT1ufGMjJ66YKbRE8o6HQFPYzJSWV6SXRHGHcGLTf/fjmrd9dH9TxDEayrP3zbUzqWCb/7LcWf+5zCPYlkF6bhS1V7TXpSwEv0hAIDPybGojFd7kitHUFu+M2bbK2Kj3nCh1rw2RdcwJTHHiNj0SKHKxKRWFDAS/TEYcAvmx6brvO61k6uv/dN9jc4v269DQYp/eEPKfvB93FnZztdjojEiAJeoifY6XQFR1k8OR+fOzbf9nvr27junjepc3jd+tJvf4uc889ztAYRiT0FvERPnF2DB0j3eaiYFLs93bdUNfPh371Fa4dzvRmu9HTHzi0izlHAS/TEYRc9RG772MF6+916/uMPK+mM4GY3Enu7G3c7XYLIkCjgJXpC8ddFD3BylKfL9ealzdX8159Xa936BPbCuy84XYLIkCjgJXri8Bo8dC1bm58R+ylij6/axzf+uj6h160fzZ579zm9d5JQFPASPXF4DR66lq09aZozC9H89tWd/PLFrY6cW0ZmX/M+Nhzc4HQZIoOmgJfoidMueoj9dfjufvj3zTzwxruOnV+G58oZV9IRdHZGhMhQaOkjiZ44HWQH0ds+drD+57F3yEv3cs7csY7WIYP3seM+5nQJIkOiFrxETxwH/NicNMqLo7tsbX9CFj79x1W8urXGsRpEJLkp4CV64vQa/CFObwjTEQxx033LeWdPg6N1iEhyUsBL9MTpKPpDnJgud6SW8Lr1O2panC5FRJKMAl6iJ4676AEWT8nH6zZOl0FtSwfX3vMGlY3tTpciIklEAS/RE+cBn+7zUDEx3+kyANhT17VufUNrfPd6iEjiUMBL9MR5wIPz1+G721TZxEd+9xZtHfE9dkFEEoMCXqInAQI+Hq7Dd7d8Vx2feEDr1ovIyCngJXrifJAdwJzSbPLSvU6X0cM/NlbxxYfXaN16ERkRBbxETxyvZHeIy2U4Kc5a8QCPvL2Xbz+9QWufi8iwKeAleuJ8Hvwhyxxal34gv355B3e+tN3pMkQkQUUl4I0xPzDGbDTGrDHGPGqMyQ0fn2SMaTPGrAp/3BmN80ucSIBr8BBfA+2O9L1nNvKnt7RuvYgMXbRa8M8Bx1hrjwU2A//d7b5t1tp54Q8t7pzMEuAaPEBpbhrTHFy2diD//cg7PLvugNNliEiCiUrAW2v/bq091Hx7HRgXjfNInEuQFjw4v/lMf0IWPvng27y+vdbpUkQkgcTiGvyHgb91+3yyMeZtY8xLxphlMTi/OCVBrsFDfAc8QEcgxE2/W866fVq3XkQGZ9gBb4x53hiztpePi7o95itAALg/fGg/MMFaOx/4LPCAMSa7j9e/2Riz3BizvLq6erhlipMSYBT9IYsnF8TFsrX9afIHuP7et6ht9jtdiogkgGHvB2+tPb2/+40xNwDnA6fZ8Fwfa60f8IdvrzDGbAOmA8t7ef27gLsAKioqNFcoEQ2hi/7+fbXMykxlQXZGFAvqW0aKh+Mn5vH69oOOnH+w/J1BslLja96+iMSnaI2iPxv4AnChtba12/EiY4w7fHsKUA5oHlCycvsGfEjQWr66ZS+f27Sby1Zt498Hm2JQWO+WxeF8+COdOrMYn0ezW0VkYNH6TfELIAt47ojpcCcDa4wxq4CHgY9Za+O7ySTDt7j/SRLNgSDXv7ODu/Z0XYJpDYb44JrtPFVdH4Pijhbv1+EBzpxT4nQJIpIght1F3x9r7bQ+jv8F+Es0zilxyPR9TXt3ewfXrdnOhpaeW6R2WMtNa3fyw5njuWZsQbQr7GFOaQ556V7q4nRHN5/bxfumx38vg4jEB/X1ScytbGjh3BWbjwr3Q0LAZzfu5vZ3q2Jal9tlWBqnq9oBLJ1WoOvvIjJoCniJqccq67h41VaqOwYegPeNbfv49rZ9MV2PPZ676c+cM4ZQSCPoRWRwotJFL3Ikay0/3lnJD3YObUW2296toj4Q5DvTx+Hup8s/UuJx4xnoutpx+qwSgsE2QqEOPJ4sp0uKqY6ODvx+P52dnbhcLnJzc50uSSTuKeAl6tqDIT67aTePVNYN6/n37aulPhDkF7Mm4HNFt9OpLDeNqUUZbKtuiep5hur4CXkUZaUAKXR2jr7Fbjo7O1m1ahVvvfUWjY2NzJs3j9NPP53MzPhdYljEaQp4iarqjk4+/M5O3mocemCmu13My0pnfnY687PSaQ9ZfDG4qLSsvCjuAr776HmPJxtrLSYGPRrxIiMjg2XLlnHiiSeyefNm3nzzTX7xi19w6qmnUlFRgdvtdrpEkbijgJeo2djSxrVrdrC7vWPAx7oNzM5IY352OvPCgT49IzUm3fJHWlZeyG9f3Rnz8/bnzNljDt8eTcF+JLfbzaxZs5g1axZVVVW89dZb/Pa3v+X0009n4sSJTpcnElcU8BIVL9Y2cvO6nTQFQ73ePyHVx4Ls91rnx2Slk+6OjzGfS6Z0LVvbGYyPBRRnlGQxqdCZFf7iWXFxMeeddx7t7e2sXr2aXbt2MX/+fLKyRtf4BJG+KOAl4u7dU83/bNnLoWjP87iZl50eDvQM5mWlU+iL32+9jBQPCybk8caO+FiD6SwtbtOv1NRUFi9eTCgUYt++fXR2dpKbm4sryuM1ROJd/P6WlYQTCFm+tX0fbzW08NFxRV2t8+x0Jqb6Eq5beVl5YdwE/Jlzxgz8IMHlcjFuXNfO1LGcWikSrxTwEjGd1vLlKaV4XYkV5r1ZVl7ED/++2ekyKMtNY05prxsuSj8S7Q9KkWhQH5ZETJrblRThDnBMWQ656c6vGnfG7BKFlYgMiwJepBfxsmytNpcRkeFSwIv0YZnDAZ+b7mXRpHxHaxCRxKWAF+nDSQ6vS3/azBI8cTJ1UEQSj357iPRhXF46U4qcm3+u7nkRGQkFvEg/TnZo85lUr8uxc4tIclDAi/TjJIeuw59cXkSaT+uri8jwKeBF+rFkagEeB6b+naXFbURkhBTwIv3ITPGwYGJeTM/pdhneP7M4pucUkeSjgBcZwMkxHk2/aFI+eRm+mJ5TRJKPAl5kACfFeLCbNpcRkUhQwIsMYG5ZDjlpsVu29gxdfxcZUDAYonp3k9NlxDUFvMgA3C4Ts9H0c8tyKMtNi8m5RBKZ2+2ioaqNHWtqnC4lbingRQYhVqvanTlb3fMigzV1QRFr/rGb7W9XO11KXFLAiwxCrFrw2vtdZPCMMSy9bBp/v2cdW1dUOV1O3FHAiwzC+Px0phRGd9naSQXpTC/JjOo5RJJN4bgsZi8dy9/vWceW5ZVOlxNXFPAig7Qsyt30Z84Zo73fRYZh0YVTSEnz8Nw969j85gGny4kbCniRQYr2dDlNjxMZntQML0s+MAVr4fnfrGfj6/udLikuKOBFBmnJlPyoLVtbmJnCvPGxXTFPJJnMWlpK0YQsrIUXfreBDa/uc7okxyngRQYpK9XLggnRCeEzZhfjdmDNe5Fk4XIZTr5qetcnFv5x30bW/Xuvs0U5TAEvMgTRug6v0fMiIzdmSg4zl7z3s/TP+zex9l+jN+QV8CJDEI358Bk+NydOLYj464qMRksunoov9b2tll96YBNrXtzjYEXOUcCLDMGx43LJTvVE9DVPmVlMikd7v4tEQkZOCgvPn9zj2L//tJnVL+x2qCLnKOBFhsDtMhFvxWvvd5HImnvqOPLG9ly34uU/b+Ht5951qCJnKOBFhmhZBKfLed2GU2bEdre6eGdDFhsIEfIHCLZ0EmzsINDgJ+QPYK11ujxJAG63i2VXlh91/NW/bGXls7scqMgZke1rFBkFIrls7YlTC8lOjd1OdYnAuAy4DMbjgpSuYzZkCbV0Eqz3Y4MWghYbDGEDFoIhbNCGj4cwXjeuDA+udC+udA+uNC/GrRkKo834mflMXVDEtpU916l/7dFthIKWinMnOVNYDCngRYZofH46kwsz2FHTMuLXOlOL2wyKcRncWT7cWb5+H2etxbYFCDZ1EGz007G3mVBTB7YzhA2Gwn8YdP1xYFzmvT8Cwv/6Jmbj8mk8RLJYelk5u96pJdAZ6nH8jSe2EwpZFh1xrT7ZKOBFhmFZeeGIA94YOGOWAj6SjDGYdC+udC/ekv73Dgh1BAk1dnT9MdDUQaCmjZQpubEpVGIiKz+V48+ZyBtP7Djqvrf+ugMbsiy6YHLSLhGta/AiwxCJbvr543Mpzk6NQDUyHC6fG09hGimTc0g/tojME0rVlZ+E5p0xgezC3n/Olj+9k7f/nrwD7xTwIsNwwtSCEa88p8VtRKLP43Vz0uVHD7g7pKXBH8NqYksBLzIMXcvW5o7oNTQ9ToYjZEMDP0h6mHRsIRPm9L6YVEFZ8m7RrIAXGaaRTJcrL85kcpT3l5fk9Nyu55wuIeEYY1h2RTmuXi7BFJQq4EXkCCNZ8Eaj52U41tas5YVdLzhdRkLKLUln3unjex40kF+avH9oK+BFhunYspxhL1ur7nkZjgc3Pkhla6XTZSSs48+ZREbOe1MtswvT8KYk77RIBbzIMHncLpYOYzT92JxU5pblRKEiSWYH2w/yzI5nqG6rHvjB0itfqocTL5t2+POCJG69QxQD3hjzNWPMXmPMqvDHud3u+29jzFZjzCZjzFnRqkEk2oZzHf7M2SVJO+9WoueRLY/QEeqgurVaS/aOQHlFCaXluUByD7CD6Lfgf2KtnRf+eBrAGDMbuAqYA5wN3G6MSd4+Eklqw9kfXtPjZKiCoSAPbXoIgPZgO02dTQ5XlLiMMSy7cjrGKOCj4SLgj9Zav7V2B7AVWORAHSIjNj4/nUkF6YN+fE6al0WT86NYkSSjl/a8xP6W/Yc/r25VN/1IFI7L5Jj3jaOgTF30I/Gfxpg1xph7jTF54WNlQPeNefeEj4kkpKF00582sxivW0NfZGge3Phgj8+rWqscqiR5LLpgMjlFaU6XEVUj+k1jjHneGLO2l4+LgDuAqcA8YD/woyG+9s3GmOXGmOXV1fprVeLXUKbLaXqcDNX2+u28vv/1Hsc00G7kUjO8uJL8j+0RbTZjrT19MI8zxtwN/DX86V6g+2TEceFjR772XcBdABUVFRpRInHr0LK1wVD/36YpHhcnT9fe7zI0f9z0x6OOqQUvgxHNUfRju316MbA2fPsJ4CpjTIoxZjJQDrwZrTpEoi071cv88bkDPm5ZeRHpPm3gKIPX3NHM41sfP+q4Al4GI5q/bb5vjJkHWGAncAuAtXadMeYhYD0QAD5hrQ1GsY6YaW9uJiUjQ1OgRqFl5UUs31XX72PUPS9D9eT2J2kNtB51XIPsZDCiFvDW2mv7ue9bwLeidW6nPP7D/6PuwD7KZsymbOYcymbOpmjiJFwuzQJMdieVF/KT5zf3eb/LwOna+12GwFrLHzce3T0PUNWmFrwMTP2FEWKtpWbPu7Q3NbL59ZfZ/PrLAPjS0imdMYuyGbMZN3MOJdPK8fpSHK5WIu24cTlkpXpoag/0ev/CSfnkZ/h6vU+kN28eeJPtDdt7vS/RW/ANTz5J41NPk33eeWS9/1RcGck9Xc0pCvgIaW2op72p8ajjHW2t7Fy1gp2rVgCw8MJLOfmDN8a6PIkyj9vF0qmFPLPuQK/3a+15Gaojp8Z1V91WTciGcJnEGwXu37aN/V/9X2xbG83//CcmLY2sU08h+7zzyFi2DJdPfwhHSuJ9d8Sp2j3vDviYSfOO56SrrotBNeKEZdP7ni53xmx1z8vg7W/ez4u7X+zz/kAoQF17/2M+4lGorY29t96KbWs7fMy2tdH49N/Y+9nPUfmtbxNsbnGwwuSiFnyEDBTw+aXjOP/TX8Dl1vX4ZLVsWu9T4GaPzWZ8/uBXuxN5aPNDhGyo38dUt1VTkFYQo4oi48A3/w//lq3vHTCGjBOWkH3+BWSdeQbuzOReOjbWFPAR0l/Ap2Zk8oEv/D9S0nWdKZlNKEhnYkE6u2p7jnpW97wMhT/o5y+b/zLg46paq5iZPzMGFUVG/aOP0fDIIwCkzJ5FzvkXkH3euXhL1LsVLQr4CKnZ3XvAG5eL8z/zJfLGajXe0WBZeSG7ant+L2h6nAxFg7+Bho6GAR+XSAPt/Fu3UnvPrym45RZyLjiflGnTBn6SjJiuwUeAtbbPFvypN9zMxLnzYluQOObIdenH56cxc0yWQ9VIIipOL+a0CacN+LhEmirnyspiyhNPUPyZWxXuMaSAj4DWhnram4/evvG4M85h3pnnOVCROOXQsrWHnDV7jBY+kiH70KwPDfiYRGrBe0tKMC7FTazpfzwCemu9j589l1NvuEW/3EeZ7FQv87otW6u932U45hfPZ1b+rH4fo+VqZSAK+Ag48vp7TskYLvjsf+P2aIjDaLQsvLtcQYaP4yfmDfBokaMZY/jQ7P5b8Qp4GYgCPgJq9+w6fNuXlsbFX/gqaVnZDlYkTjoU8KfPKunRXS8yFGdPOpuC1L6nwWnLWBmIAj4Cavfs7rphDOd9+gsUjJvgbEHiqOPG5ZKV4tHoeRkRn9vHlTOu7PP+2rZaAqHel0YWAQX8iHUfQX/yB29kyvyFDlckTvO4XZwxu4Sl0/pe2U5kMC6fcTlel7fX+yyW2rbaGFckiUQBP0KHRtDPed9pVJx/sdPlSJz43FkzSPVq1UIZmcK0Qs6ZfE6f96ubXvqjgB+hmt27GDt9Jqff9J8aMS+HleWmOV2CJIn+psxpoJ30RwE/Qp3t7Vz0ua/g8fbejSYiMhKzCmaxoHhBr/cp4KU/CvgRmlqxmIxcTYUSkei5dva1vR5XwEt/FPAjpG55EYm2U8efSmlG6VHHdQ1e+qOAFxGJc26Xm6tnXn3U8URarlZiTwEvIpIALi6/mDRPz8GbibThjMSeAl5EJAHkpORw4dQLexxTC176o4AXEUkQH5z1wR6f1/vr8Qf9DlUj8U4BLyKSICbnTOakspN6HFMrXvqigBcRSSBHLnyjkfTSFwW8iEgCObH0RCbnTD78uebCS18U8CIiCcQY06MVry566YsCXkQkwZw/5XyyfFmApspJ3xTwIiIJJt2bzmXllwHqope+KeBFRBLQ1TOvxm3c6qKXPingRUQS0NjMsbx/wvvVgpc+KeBFRBLUh2Z9SNPkpE8KeBGRBDW/eD4TsyfS0tnidCkShzxOFyAikuxsKETnvn10bN+Of/t2OrZtp2P3bib+9jcjet1DU+aqW6vJyMmIULWSLBTwIiIREmpvp2PXLjq2bcO/fQcd28P/7tiB9R+9ZrwNBjFu94jOedaks9jTvGdEryHJSQEvIjJEgbq6Hq1x/46ufzv37gVrB/061u/HpKePqBaf28fk7MkDP1BGHQW8iEgvenSrb9v+XqBv306wri4i5wi1t+MaYcBDV1e9yJEU8CIyqoXa2+nYuTMc4AN3q0eSbWuL6uvL6KaAF5FR4XC3+rZtdGzfMexu9UgKtbc7cl4ZHRTwIpI0bDDYbbR6t9b4tm0E6+udLu8oCniJJgW8iCScQ93qh1rjHTvC18l37ox6t3okWQW8RJECXkTiVqCuLjzlbHtXt/r2rkB3sls9kkJtCvhBCfjBk+J0FQlHAS8ijurRrb5te1drPI671SPJtmuQ3YBCIfjlYjjpMzD/Q+Aa2boBo4kCXkQcYa2l4ZFHqPr+Dwg2NDhdjiNC7YlzOcEx9Tuhbgc8+SlYfg+c/T2YeILTVSUErUUvIo4wxpB76aVMeeZvFH78P3BlZztdUsypBT8IB9a+d3v/avjN2fDnG6F+t3M1JQgFfIKor2ylvqoVmwTXHUW68+TlUfSpTzHtH/+g+POfx1NU5HRJMaNr8INQufboY+segV8shBe/Ax2tsa8pQSjgE0R2URo7VtXwh6++znO/Wcf6V/bRUK3Al+Thzsyg4CMfZuoLzzPmG1/HO3GC0yVFXUgt+IFVruv9eKANXvpuV9C/83BSDLqMtKhcgzfG/AmYEf40F6i31s4zxkwCNgCbwve9bq39WDRqSDYul2H+mROYMCef536zns1vVAIwdloOJ181g8JxmQ5XKBIZLp+PvCuuIPfSS2l69llq7v41/g0bnC4rKqxa8AM78E7/9zfugb98BN68G875HpTOi0lZiSAqAW+tvfLQbWPMj4DuI2i2WWvnReO8o0FBWSaXf7GCdS/vpWh8FmOm5GBcWodako9xu8k+91yyzjmHlpdfpvZXd9G6fLnTZUVUyK+A71d7I9TvGtxjd78Od50CC66F9/8/yCyOammJIKpd9KZrB4QrgAejeZ7Rxu11ceyp4xk7LVfhLknPGEPmsmVM/MPvmfjAA2SeeqrTJUWMWvAD6Kt7vk8WVt4HPz8eXrkNAh1RKStRRPsa/DKg0lq7pduxycaYt40xLxljlvX1RGPMzcaY5caY5dXV1VEuU0QSQfqC+Yy/43YmP/442RdcACPcS91pWqp2AL0NsBsMfyM89//g9iWw6ZlRe31+2AFvjHneGLO2l4+Luj3sanq23vcDE6y184HPAg8YY3qdG2OtvctaW2GtrSgaRaNqRWRgqTOmU/aD7zP12WfIu+ZqjM/ndEnDomlyAxjo+vtADm6DB6+EP1wK1ZsGfnySGXbAW2tPt9Ye08vH4wDGGA9wCfCnbs/xW2trw7dXANuA6SP7EkRktPKNG8eYr36Vaf94gYKbbsKVmViDTbXQzQCG24I/0rYX4PYT4G9fgra6yLxmAohmF/3pwEZr7Z5DB4wxRcYYd/j2FKAc2B7FGkRkFPAUFlL8uc8y7cV/UPTZz+IuKHC6pEFRC74foSBUro/c69kgvHEH3LYA3rqn6/WTXDQD/iqOHlx3MrDGGLMKeBj4mLX2YBRrEJFRxJ2VReHNNzHthecZ879fxVtW5nRJ/dJCN/04uL1rrnuktR2Epz4LvzoZdvw78q8/mBKCIfyhUNTPE7WAt9beYK2984hjf7HWzrHWzrPWLrDWPhmt84tEkxYYim+u1FTyrr6aqc8+Q+kPvk9KebnTJfVKg+z6MdLr7wOpXAu/Ox/+dC3U7YzuuY6wtrmNFFf015nTSnYiwxCyUNmoX87xzng85FxwAZMff4xxd9xO2vz5TpfUg/aD70ekrr8PZMMTXbvVbXw6Jqd7tqaBSWmxGRSqgI+Q9bURvFYkcc/tMuSme3lr50G15hOAcbnIOvVUJj5wPxN/fx8Zy/qcoRtTasH340AMAj6jCE78FNzyb5h5btRPt7W1nX3+Top83qifC7RdbMS8uu9VVlev5uqZVztdisRIisfN3LIcHlu1l/PmluLz6O/leGeMIX3hQiYsXEj7hg3U3n03jc8827XnuANsmwbZ9SlaLXjjhvIzu/aWn34WuGMTtu3BEN/Zvp/bZ0+MyflALfiIqSip4LaVtzldhsRYqtfNOceM5e5/b6exvdPpcmQIUmfNouzHP2bq354m9/LLMd7Y/KLvTi34PrQehMa9kX3N/Klw2v/CZ9bBNX+EWefHLNwBvrZtH5eU5MXk2vshCvgImVMwh6AN0hEc3UsjjkapXjcfXjqZH/99M/sb1CJLNL6JExn7zW8w9fnnyf/wh3Glp8fs3La9XZd4ejPkJWr74E2H466BG/8Gn1wByz4L2WMj89pD8Neqeja3tHNuYU5Mz6uAjxCv28uxhcdysF2z/kajNJ+bz581g+/+bSMbDzQ6XY4Mg7ekmJIvfJ5pL/6Dwk99EndubkzOa/1a7OYoI+2eL6uA838Kn9sEF98BE08E48y+Hbva/Hx+026+Ma0UE+MaFPARdPyY4xXwo1hGiodvXTyX7/5tI69urXG6HBkmd04ORR//ONP+8QIlX/4ynrHRbfGFdB3+aMMZYJdeAEs+Af/xGtz0AlTcCKm9roQeMx2hEB9bt4vzinI5Jit2PUOHaJBdBFWUVCjgR7nMFA8/v3o+H/ntcqqb/Vw0L74XWpG+udLTyb/uWvKuupKGvz5F7a9/Tcf2yC+8qalyvagc5Bx444Kpp3VtETv9HPDE154E39m+ny2t7dx37GRHzq8WfATNLZxLc0ez02WIw7JSvdx9fQX3vryD2/+5VddYE5zx+ci95GKm/PVJyn5+G6lz50b09bWa3RGCAaja2P9jcifCqf8Dt66FDz0Msy+Ku3B/rqaBO3ZX85lJY2I2Le5IasFHUKonlbJMtdgEctK83PfhxVzz69fZV9/G1y88BrfLmWuAEhnG5SL7jDPIOv10Wt94g9q77qLl1ddG/LrWr4DvoXYLBHsZl+BJhVkXdrXWJ54EMRyNPlT72jv49MZ3mZTm46PjCh2rI37/hxLU5BxnumIk/uSke/nDRxazYlc9t/x+BW0dyb+5xWhgjCFjyRIm3Hsvk/78EFlnnjmiAVxqwR/hyOvvY+fBeT/qGjB36d0w+eS4DvdAyPLx9bs42Bnkf6eWDntaXE3zyAdfxu//UoLK9CXWdpUSXXkZPu7/6GJ2H2zl6rtfpzYCP7RDossDUZU2dy7jbvsZU576KzmXXAKeoXeKake5I1S+A6m5sOgW+NjLcMtLsPCjkJbrdGWD8qOdB3i9oYWluZmcPcxpcU3tndzwmzdHXIsCXiTK8jN83H/TYlr8AS6941V21rTE7uT7V8fuXKNYypQplH77W0x77u/kXXctJi1t0M/VYjdHmHt5V2v93O/DmMiOd4i2l+ua+OmuSlzAN8vLhjUtzh8IcsvvVzA2Z/DfQ31RwIvEQGFmCvfftBiXy3DJHa/y9rt10T9p1UbY81b0zyOHeceOZcyXv8y0f7xA4cc/jitn4BacRtEfYcxc8KY6XcWQVXd08vH1u7DAB0sLmJ059IAOhiyf+dMqxuelc8cHF4y4JgW8SIwUZ6Xy4E1LyEnzcvXdr/Pc+sronnD9Y9DZGt1zSK88eXkUfeqTTHvhBYq/+EU8xcV9PlbX4BNfyFo+uf5dqjoCZLldfGHymCG/hrWW//f4WqYUZvLdS+ficY88nhXwIjFUkt0V8iXZqdzy++X8/vVd0TvZusegQwHvJHdmBgU33sDU559jzDe/gW/i0RuNhHQNPuHt83dyRmE2358+jvuOnTKsaXE/fX4L04sz+a+zZkRsxTsFvEiMjclJ5YGbllCam8b/e2wt33tmI6FQhAfDVW2A6g3QGcPr/dInl89H3uWXM+Xppyj76U9ImT3r8H3qok9841J9fGRcEdeVFXJC7tAHWt//xi6mFmdyw9LIzsJSwIs4oCw3jQdvWkJZbhp3/HMbn3loFf5ABKfRrXus698OBXw8MW432WefzeS//IXxd99N+sKFGmQ3yr2woZJJBRlceFxpxF9bC92IOGR8fjoP3rSEK+96jcdX7aOq0c+d1x5PTloEVr1a/1jXv+qij0vGGDKXnUTmspMINjU5XY44ZO3eBkpz05g1Njpr5qsFL+KgCQXp4WvyKby2vZYr7nyNffUjvCZbtQGqw0t9qos+7rmzspwuQRxQ0+ynKCslauEOCngRx00qzODBm5ZQlJXCpsomLrn9VTbsH8GWs4e650EteJE4ZK0lO9VLSXZ0pwMq4EXiwJSiTB68aQmFmT4ONLZzxZ2v8cpwtpy1FtY9+t7nmiYnEneMMfg80Y9fBbxInJhWnMkDNy0hP8NHkz/ADb95k0ff3jO0F6naADWb3vtcuxuKjFoKeJE4Mr0ki/s/upi8dC+dQctn/rSaX744hC1nQ51g3O99ri56kVFLAS8SZ2aNzeYPH118eDT9D57dxP88tpZAMDTwk8ceB+/7wnufq4teZNRSwIvEoTmlOdz/0cVkp3bNZL3/jXf52B9W0NoRGPjJy/4Lyiq6bqsFLzJqKeBF4tQxZTn8/iOLyUrpCvnnN1Rx9d1vDLxPtNsDl9wF3oyua/DaMlZkVFLAi8Sx48bn8ruPLCIzHPKrd9dzye2vsmOgLWcLpsLZ3wYbhGBHDCoVkXijgBeJcwsm5PHbGxeS7usaPPfuwVYuuf0VVg605eyC62HGuVquVmSUUsCLJICKSfn85oaFpHm7Qr6utZOr73qdv6870PeTjIELfw4ud9+PEZGkpYAXSRCLpxRw7w0LSfV2/dj6AyE+9ocV3Pfazr6flFEIqTmxKVBE4ooCXiSBnDC1gHuuX0hKeBWskIWvPr6O7/xtQ+S3nBWRhKaAF0kwS6cVctd1Ffjc7/34/uql7dz6pwhvOSsiCU0BL5KA3je9iF9dezxetzl87InV+7j+3jdpaOt0sDIRiRcKeJEEderMYu74YM+Qf337QS6/89WRbzkrIglPAS+SwE6fXcLPr16Ax/VeyG+ubObi219h/b4RbDkrIglPAS+S4M4+Zgy3XT0fd7eQr2z0c8WvXuPlLcPYclZEkoICXiQJnDt3LD+9ch7dMp7m8Jazj6wc4pazIpIUFPAiSeKC40r58RXzMN1CPhCyfPahIW45KyJJQQEvkkQ+ML+MH1x2XI+Qh64tZ7/86CC3nBWRpKCAF0kylx0/ju9dcuxRxx98811u/v0gt5wVkYSngBdJQlcsHM+3L5571PF/bKziqrtep7ppgC1nRSThKeBFktQ1iyfwzQ8cc9TxNXsauOSOV9he3exAVSISKwp4kSR27ZKJfO2C2Ucd332wjUvveJUVuw46UJWIxIICXiTJ3bB0Mv9z3qyjjte1dnLN3W/wzNp+tpwVkYQ1ooA3xlxujFlnjAkZYyqOuO+/jTFbjTGbjDFndTt+dvjYVmPMl0ZyfhEZnI8um8J/nzPzqOP+QIj/uH8Fv3t1Z+yLEpGoGmkLfi1wCfCv7geNMbOBq4A5wNnA7cYYtzHGDfwSOAeYDVwdfqyIRNkt75vK58+acdRxa+GtnQc1T14kyXhG8mRr7QYAc+SkW7gI+KO11g/sMMZsBRaF79tqrd0eft4fw49dP5I6RGRwPnHqNIIhy4+f23z42LTiTL536bG9/RyLSAKL1jX4MmB3t8/3hI/1dVxEYuRTp5XzqdPKAUj3ubnzQwvISBnR3/oiEocG/Kk2xjwPjOnlrq9Yax+PfEmHz3szcHP4U78xZm20zhUHCoFk3hVEX18cK//mgA9J6K9vAMn8tYG+vkR39DW1IRgw4K21pw/jdfcC47t9Pi58jH6OH3neu4C7AIwxy621Fb09Lhno60ts+voSVzJ/baCvL9EZY5aP5PnR6qJ/ArjKGJNijJkMlANvAm8B5caYycYYH10D8Z6IUg0iIiKj1oguvBljLgZ+DhQBTxljVllrz7LWrjPGPETX4LkA8AlrbTD8nP8EngXcwL3W2nUj+gpERETkKCMdRf8o8Ggf930L+FYvx58Gnh7iqe4aenUJRV9fYtPXl7iS+WsDfX2JbkRfn9HcVxERkeSjpWpFRESSUNwF/Gha/tYY8ydjzKrwx05jzKrw8UnGmLZu993pcKnDYoz5mjFmb7ev49xu9/X6XiYKY8wPjDEbjTFrjDGPGmNyw8eT4r2DxP256osxZrwx5kVjzPrw75hPh4/3+X2aaMK/R94Jfx3Lw8fyjTHPGWO2hP/Nc7rOoTLGzOj2/qwyxjQaY25N9PfOGHOvMaaq+zTwvt4v0+W28M/jGmPMggFPYK2Nqw9gFl1z//4JVHQ7PhtYDaQAk4FtdA3Uc4dvTwF84cfMdvrrGMbX/SPgq+Hbk4C1TtcUga/pa8B/9XK81/fS6XqH+LWdCXjCt78HfC/J3ruk+Lk64msaCywI384CNoe/F3v9Pk3ED2AnUHjEse8DXwrf/tKh79VE/Qh/bx4AJib6ewecDCzo/jujr/cLOBf4G2CAJcAbA71+3LXgrbUbrLWbernr8PK31todwKHlbxcRXv7WWtsBHFr+NmGYrjVCrwAedLqWGOnrvUwY1tq/W2sD4U9fp2tNh2SS8D9XR7LW7rfWrgzfbgI2MDpW0rwI+F349u+ADzhXSkScBmyz1u5yupCRstb+Czhyz+a+3q+LgPtsl9eBXGPM2P5eP+4Cvh/JvPztMqDSWrul27HJxpi3jTEvGWOWOVVYBPxnuDvp3m5dg8nwnnX3Ybr+sj4kGd67ZHuPejDGTALmA2+ED/X2fZqILPB3Y8wK07UaKECJtXZ/+PYBoMSZ0iLmKno2hpLlvTukr/dryD+TjgS8MeZ5Y8zaXj4SuoXQm0F+rVfT8xt2PzDBWjsf+CzwgDEmO5Z1D9YAX98dwFRgHl1f04+crHWoBvPeGWO+QtdaD/eHDyXMezdaGWMygb8At1prG0nw79MjnGStXUDXjp2fMMac3P1O29XXm7BTp0zXAmkXAn8OH0qm9+4oI32/HNlhwjq0/K0TBvpajTEeurbcPb7bc/yAP3x7hTFmGzAdGNGyhdEw2PfSGHM38Nfwp/29l3FjEO/dDcD5wGnhH8SEeu8GkBDv0VAZY7x0hfv91tpHAKy1ld3u7/59mnCstXvD/1YZYx6l61JLpTFmrLV2f7hLt8rRIkfmHGDlofcsmd67bvp6v4b8M5lIXfTJuvzt6cBGa+2eQweMMUXGGHf49hS6vtbtDtU3bEdcH7oYODRStK/3MmEYY84GvgBcaK1t7XY8Kd47Ev/n6ijhsS73ABustT/udryv79OEYozJMMZkHbpN10DQtXS9b9eHH3Y9ELVNwmKgR29nsrx3R+jr/XoCuC48mn4J0NCtK79XcbdHpBl9y98eeT0JukZWfsMY0wmEgI9Za48ciJEIvm+MmUdXF9NO4BaA/t7LBPILumYBPNeVG7xurf0YSfLeWWsDCf5z1ZulwLXAOyY8JRX4MnB1b9+nCagEeDT8/egBHrDWPmOMeQt4yBjzEWAXXQN6E074j5Yz6Pn+9Po7JlEYYx4ETgEKjTF7gP8Fvkvv79fTdI2k3wq0AjcO+PrhnkURERFJIonURS8iIiKDpIAXERFJQgp4ERGRJKSAFxERSUIKeBERkSSkgBcREUlCCngREZEkpIAXERFJQv8f4gCbhvJroy4AAAAASUVORK5CYII=\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for seed in range(5):\n", - " _ = generate_map(seed=seed)" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 66, - "outputs": [ - { - "ename": "ValueError", - "evalue": "incorrect coordinate type", - "output_type": "error", - "traceback": [ - "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[1;31mValueError\u001B[0m Traceback (most recent call last)", - "Input \u001B[1;32mIn [66]\u001B[0m, in \u001B[0;36m\u001B[1;34m()\u001B[0m\n\u001B[0;32m 1\u001B[0m img \u001B[38;5;241m=\u001B[39m Image\u001B[38;5;241m.\u001B[39mnew(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mL\u001B[39m\u001B[38;5;124m\"\u001B[39m, (SIZE_ROUTE \u001B[38;5;241m*\u001B[39m \u001B[38;5;241m2\u001B[39m, SIZE_ROUTE \u001B[38;5;241m*\u001B[39m \u001B[38;5;241m2\u001B[39m), \u001B[38;5;241m0\u001B[39m)\n\u001B[0;32m 2\u001B[0m img\n\u001B[1;32m----> 3\u001B[0m \u001B[43mImageDraw\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mDraw\u001B[49m\u001B[43m(\u001B[49m\u001B[43mimg\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpolygon\u001B[49m\u001B[43m(\u001B[49m\u001B[43mgenerate_map\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m2\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m)\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;241;43m0\u001B[39;49m\u001B[43m]\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mexterior\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mxy\u001B[49m\u001B[43m)\u001B[49m\n", - "File \u001B[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-diBy_Al7-py3.9\\lib\\site-packages\\PIL\\ImageDraw.py:243\u001B[0m, in \u001B[0;36mImageDraw.polygon\u001B[1;34m(self, xy, fill, outline, width)\u001B[0m\n\u001B[0;32m 241\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m ink \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m ink \u001B[38;5;241m!=\u001B[39m fill \u001B[38;5;129;01mand\u001B[39;00m width \u001B[38;5;241m!=\u001B[39m \u001B[38;5;241m0\u001B[39m:\n\u001B[0;32m 242\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m width \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m1\u001B[39m:\n\u001B[1;32m--> 243\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdraw_polygon\u001B[49m\u001B[43m(\u001B[49m\u001B[43mxy\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mink\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m0\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mwidth\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 244\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m 245\u001B[0m \u001B[38;5;66;03m# To avoid expanding the polygon outwards,\u001B[39;00m\n\u001B[0;32m 246\u001B[0m \u001B[38;5;66;03m# use the fill as a mask\u001B[39;00m\n\u001B[0;32m 247\u001B[0m mask \u001B[38;5;241m=\u001B[39m Image\u001B[38;5;241m.\u001B[39mnew(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m1\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mim\u001B[38;5;241m.\u001B[39msize)\n", - "\u001B[1;31mValueError\u001B[0m: incorrect coordinate type" + "name": "stdout", + "output_type": "stream", + "text": [ + "7.15 ms ± 166 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" ] } ], "source": [ - "img = Image.new(\"L\", (SIZE_ROUTE * 2, SIZE_ROUTE * 2), 0)\n", - "img\n", - "ImageDraw.Draw(img).polygon(generate_map(2, False)[0].exterior.xy)" + "def generate_all_to_series(\n", + " seed: Optional[int] = None, image: bool = False\n", + ") -> pd.Series:\n", + " \"\"\"Generates everything and aggregates all data into a `pd:Series`.\n", + "\n", + " Args:\n", + " seed:The seed that should be used to generate map and destination.\n", + " image: If an image should be generated or if that should be postponed to save memory.\n", + " Returns:\n", + " Contains a `pd.Series`containing the following.\n", + " - The seed tha generated the map.\n", + " - The destination in x\n", + " - The destination in y\n", + " - A list of Obstacle polygons.\n", + " - The route generated for this map by the roBOOTer navigation system.\n", + " - Optionally the image containing all the information. Can be generated at a later date without the fear for a loss of accuracy.\n", + " \"\"\"\n", + " obstacles = generate_obstacles(seed)\n", + " destination = generate_destination(obstacles, seed)\n", + "\n", + " return pd.Series(\n", + " data={\n", + " \"seed\": str(seed),\n", + " \"obstacles\": obstacles,\n", + " \"destination_x\": destination.x,\n", + " \"destination_y\": destination.y,\n", + " \"image\": generate_image_from_map(obstacles, destination, None)\n", + " if image\n", + " else pd.NA,\n", + " }\n", + " )\n", + "\n", + "\n", + "%timeit generate_all_to_series()" ], "metadata": { "collapsed": false, @@ -332,10 +457,55 @@ }, { "cell_type": "code", - "execution_count": null, - "outputs": [], + "execution_count": 393, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7.04 s ± 129 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + ] + }, + { + "data": { + "text/plain": " obstacles destination_x \\\nseed \n0 [POLYGON ((-93.57082194649087 -66.947987633875... -6.0 \n1 [POLYGON ((-81.7284773501737 -78.1366517664776... -13.0 \n2 [POLYGON ((-84.97456253498679 -96.322348952267... -10.0 \n3 [POLYGON ((-72.52222134370759 -84.370870527173... -26.0 \n4 [POLYGON ((-49.01395292839513 -91.236864062937... -4.0 \n... ... ... \n995 [POLYGON ((-51.07604481480806 -110.26281808589... -41.0 \n996 [POLYGON ((-73.53136121570428 -96.869509434739... 28.0 \n997 [POLYGON ((-40.84353887456576 -93.533626866125... 20.0 \n998 [POLYGON ((-103.97610620795356 -105.6733356239... 45.0 \n999 [POLYGON ((-63.84493689800847 -95.735428561017... 14.0 \n\n destination_y image \nseed \n0 -3.0 \n1 -38.0 \n2 -35.0 \n3 -47.0 \n4 5.0 \n... ... ... \n995 -20.0 \n996 39.0 \n997 -41.0 \n998 -12.0 \n999 42.0 \n\n[1000 rows x 4 columns]", + "text/html": "
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" + }, + "execution_count": 393, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "mask = np.array(img)" + "%timeit pd.DataFrame([generate_all_to_series(i) for i in range(1000)]).set_index(\"seed\")\n", + "df = pd.DataFrame([generate_all_to_series(i) for i in range(1000)]).set_index(\"seed\")\n", + "df.to_pickle(\"test.pickle\")\n", + "df" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 395, + "outputs": [ + { + "data": { + "text/plain": " obstacles destination_x \\\nseed \n0 [POLYGON ((-93.57082194649087 -66.947987633875... -6.0 \n1 [POLYGON ((-81.7284773501737 -78.1366517664776... -13.0 \n2 [POLYGON ((-84.97456253498679 -96.322348952267... -10.0 \n3 [POLYGON ((-72.52222134370759 -84.370870527173... -26.0 \n4 [POLYGON ((-49.01395292839513 -91.236864062937... -4.0 \n... ... ... \n995 [POLYGON ((-51.07604481480806 -110.26281808589... -41.0 \n996 [POLYGON ((-73.53136121570428 -96.869509434739... 28.0 \n997 [POLYGON ((-40.84353887456576 -93.533626866125... 20.0 \n998 [POLYGON ((-103.97610620795356 -105.6733356239... 45.0 \n999 [POLYGON ((-63.84493689800847 -95.735428561017... 14.0 \n\n destination_y image \nseed \n0 -3.0 \n1 -38.0 \n2 -35.0 \n3 -47.0 \n4 5.0 \n... ... ... \n995 -20.0 \n996 39.0 \n997 -41.0 \n998 -12.0 \n999 42.0 \n\n[1000 rows x 4 columns]", + "text/html": "
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" + }, + "execution_count": 395, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2 = pd.read_pickle(\"test.pickle\")\n", + "df2" ], "metadata": { "collapsed": false,