diff --git a/.idea/misc.xml b/.idea/misc.xml
index d82714d..9a61020 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -1,4 +1,4 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Poetry (ml-programmiereprojekt)" project-jdk-type="Python SDK" />
-</project>
\ No newline at end of file
+  <component name="ProjectRootManager" version="2" project-jdk-name="Docker Compose (pyrate-experiments at [C:\Users\phhor\PycharmProjects\ml-programmiereprojekt\docker-compose.yaml])" project-jdk-type="Python SDK" />
+</project>
diff --git a/.idea/ml-programmiereprojekt.iml b/.idea/ml-programmiereprojekt.iml
index ff52348..e6ddb7f 100644
--- a/.idea/ml-programmiereprojekt.iml
+++ b/.idea/ml-programmiereprojekt.iml
@@ -4,7 +4,7 @@
     <content url="file://$MODULE_DIR$">
       <excludeFolder url="file://$MODULE_DIR$/venv" />
     </content>
-    <orderEntry type="jdk" jdkName="Poetry (ml-programmiereprojekt)" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Docker Compose (pyrate-experiments at [C:\Users\phhor\PycharmProjects\ml-programmiereprojekt\docker-compose.yaml])" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyDocumentationSettings">
@@ -21,4 +21,4 @@
   <component name="TestRunnerService">
     <option name="PROJECT_TEST_RUNNER" value="py.test" />
   </component>
-</module>
\ No newline at end of file
+</module>
diff --git a/README.md b/README.md
index ec8e37b..44be7e5 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,5 @@
+```sh
+docker-compose up --scale pyrate_gen=3 --scale pyrate=0
+```
 
-
-
-[WIKI](https://gitlab.sailingteam.hg.tu-darmstadt.de/team/wiki/-/wikis/Software/Installation#docker)
\ No newline at end of file
+[WIKI](https://gitlab.sailingteam.hg.tu-darmstadt.de/team/wiki/-/wikis/Software/Installation#docker)
diff --git a/docker-compose.yaml b/docker-compose.yaml
index 25af0d1..31c8c32 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -1,17 +1,30 @@
 version: '3.9'
 services:
-  ros-nodes:
+  pyrate:
     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}
+      context: pyrate
+      dockerfile: pyrate.dockerfile
     restart: no
-    container_name: ros_nodes:st
+    container_name: pyrate
+    ports:
+    - 8888:8888
+    volumes:
+    - ./experiments:/pyrate/experiments
+    - ./data:/pyrate/data
+
+  pyrate-gen:
+    build:
+      context: pyrate
+      dockerfile: pyrate.data_generator.dockerfile
+    restart: unless-stopped
+    volumes:
+    - ./data:/pyrate/data
+    environment:
+    - save_frequency=50
+    - seed_start=150
+    - continues=False
+    scale: 2
+
 volumes:
-  influxdb-storage:
-  grafana-storage:
+  experiments:
+  data:
diff --git a/experiments/Experiments.ipynb b/experiments/Experiments.ipynb
index c906ee8..ae6a053 100644
--- a/experiments/Experiments.ipynb
+++ b/experiments/Experiments.ipynb
@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -62,17 +62,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 2,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (4.64.0)\n",
+      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+      "\u001b[0m"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
    "metadata": {
     "pycharm": {
-     "is_executing": true,
      "name": "#%%\n"
     }
    },
    "outputs": [],
    "source": [
-    "from typing import Optional\n",
+    "import os\n",
+    "from typing import Optional, Final\n",
+    "from math import pi\n",
+    "import glob\n",
     "\n",
+    "from tqdm.notebook import trange, tqdm\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -83,38 +109,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    },
+    "scrolled": false
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "START\n",
-      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d9c00>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d89a0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d88b0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8880>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8820>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d87c0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8760>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8700>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8640>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8550>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d85b0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8250>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d9d20>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d9b10>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d9030>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f96ca5d8f40>]\n",
-      "[C] Construction finished with 4 remaining\n",
-      "EvaluatedTimingFrame([[  0.           0.        ]\n",
-      " [ 26.43818117  12.62331955]\n",
-      " [ 50.6782909   18.29214599]\n",
-      " [ 44.80120821  35.03692309]\n",
-      " [ 17.25507975  36.62852036]\n",
-      " [ 24.69135802  63.98756667]\n",
-      " [ 78.25984163  72.64748198]\n",
-      " [ 82.03172913  76.84603024]\n",
-      " [  0.42157698  98.41464665]\n",
-      " [  0.         100.        ]])\n",
-      "667.5603860950698\n",
-      "955.189600304951\n"
+      "New Creation of OptimizationParameters\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/pyrate/pyrate/plan/nearplanner/holders.py\", line 99, in __post_init__\n",
+      "    raise ValueError\n",
+      "ValueError\n",
+      "\n",
+      "New Creation of OptimizationParameters\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/pyrate/pyrate/plan/nearplanner/holders.py\", line 99, in __post_init__\n",
+      "    raise ValueError\n",
+      "ValueError\n",
+      "\n",
+      "New Creation of OptimizationParameters\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/pyrate/pyrate/plan/nearplanner/holders.py\", line 99, in __post_init__\n",
+      "    raise ValueError\n",
+      "ValueError\n",
+      "\n",
+      "New Creation of OptimizationParameters\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/pyrate/pyrate/plan/nearplanner/holders.py\", line 99, in __post_init__\n",
+      "    raise ValueError\n",
+      "ValueError\n",
+      "\n"
      ]
     }
    ],
    "source": [
-    "from experiments import generate_route"
+    "import experiments\n",
+    "from pyrate.plan.nearplanner.timing_frame import TimingFrame"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 5,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "experiments.optimization_param.n_iter_grad = 50\n",
+    "experiments.optimization_param.verbose = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -129,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -170,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 8,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -180,11 +235,11 @@
     {
      "data": {
       "text/plain": [
-       "(array('d', [84.94149230207856, 78.04507967759636, 79.05686913703596, 80.08400830987347, 81.70255259062077, 83.61415975738558, 85.33508086545056, 85.47040615575028, 86.0245499015864, 84.94149230207856]),\n",
-       " array('d', [72.74676391639998, 70.74544900500507, 67.2549918581008, 66.46078189157683, 65.98644621136356, 66.31332436288989, 67.74737384448065, 67.96201813311431, 69.99066912301528, 72.74676391639998]))"
+       "(array('d', [-65.50420757332208, -76.55152312773095, -82.97120566739389, -67.5016122399309, -65.65710097962439, -56.16635209118213, -65.50420757332208]),\n",
+       " array('d', [-1.6361878980355904, 2.1647544095886033, -41.64859204427268, -39.57442918008357, -38.466923594894915, -24.08243092784785, -1.6361878980355904]))"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -222,7 +277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 9,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -233,7 +288,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "POLYGON ((13.575412783607412 14.141511830603921, 11.886568098525395 13.482167281052025, 8.703912627668682 7.6730441887238605, 8.974534426860235 6.144904064619676, 21.215855344806364 6.946074653972472, 13.575412783607412 14.141511830603921))\n"
+      "POLYGON ((63.172065168381955 65.05706995585822, 61.12737057563318 64.21545450958845, 62.0373348803766 63.827140312951656, 62.1989069555481 63.843527016385394, 62.67755594641929 64.0419229267602, 63.172065168381955 65.05706995585822))\n"
      ]
     }
    ],
@@ -243,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 10,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -256,7 +311,7 @@
     "    number_of_polygons: int = 40,\n",
     "    radius_mean: float = 2,\n",
     "    radius_sigma: float = 1,\n",
-    "):\n",
+    ") -> dict[str, Polygon]:\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",
@@ -276,14 +331,16 @@
     "        poly = random_polygon(radius_mean, radius_sigma)\n",
     "        if poly.contains(Point(0, 0)):\n",
     "            continue\n",
+    "        if poly.exterior.distance(Point(0, 0)) < 1:\n",
+    "            continue\n",
     "        polygons.append(poly)\n",
     "    polygon_list = list(unary_union(polygons).geoms)\n",
-    "    return polygon_list"
+    "    return {str(i): p for i, p in enumerate(polygon_list)}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 11,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -299,7 +356,9 @@
     }
    ],
    "source": [
-    "def generate_destination(obstacles: list[Polygon], seed: Optional[int] = None) -> Point:\n",
+    "def generate_destination(\n",
+    "    obstacles: dict[str, Polygon], seed: Optional[int] = None\n",
+    ") -> Point:\n",
     "    \"\"\"Generates for a map.\n",
     "\n",
     "    Can be used to generate a valid destination for list of obstacles.\n",
@@ -320,7 +379,7 @@
     "        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",
+    "        or any(obstacle.contains(point) for obstacle in obstacles.values())\n",
     "    ):\n",
     "        point = Point(np.random.randint(-SIZE_INNER, SIZE_INNER, size=(2,), dtype=int))\n",
     "    return point\n",
@@ -331,7 +390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 12,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -340,23 +399,514 @@
    },
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'asdf' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [22]\u001b[0m, in \u001b[0;36m<cell line: 45>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     43\u001b[0m         plt\u001b[38;5;241m.\u001b[39mlegend(by_label\u001b[38;5;241m.\u001b[39mvalues(), by_label\u001b[38;5;241m.\u001b[39mkeys())\n\u001b[1;32m     44\u001b[0m     plt\u001b[38;5;241m.\u001b[39mshow()\n\u001b[0;32m---> 45\u001b[0m \u001b[43masdf\u001b[49m\n\u001b[1;32m     47\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m):\n\u001b[1;32m     48\u001b[0m     o \u001b[38;5;241m=\u001b[39m generate_obstacles(s)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'asdf' is not defined"
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e890aecf1bd44bc69578abcd7e78b56d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/20 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccce3820>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccce34c0>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100.1516289789457\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -7.598  13.   ]\n",
+      " [-15.204  26.   ]\n",
+      " [-22.794  39.   ]\n",
+      " [-30.408  52.   ]\n",
+      " [-38.     65.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "75292.76193632427\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fa2320>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fa3400>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fa2170>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fdc160>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "21127.886648066025\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fe13c0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fe1b70>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fe1f60>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fe2080>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "63200.63075818353\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e1fca0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e1fa60>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "28914.654143248754\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e4fb80>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e4f850>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1353.6289597210239\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7d4ad40>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7d496c0>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "23898.229530915676\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fe2530>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7fe3d30>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "7208.886339146704\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccce1240>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccce24a0>]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/pyrate/pyrate/plan/nearplanner/cost_functions.py:131: RuntimeWarning: overflow encountered in double_scalars\n",
+      "  grad = -cost * self.scale * self.safety_dist / dist**2 if dist > 0 else 0\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "16899.906925933017\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31cbb0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31d4b0>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "278.78263858129446\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 7.602  9.6  ]\n",
+      " [15.196 19.2  ]\n",
+      " [22.806 28.8  ]\n",
+      " [30.392 38.4  ]\n",
+      " [38.    48.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1964.0579135370533\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -9.598  -6.2  ]\n",
+      " [-19.204 -12.4  ]\n",
+      " [-28.794 -18.6  ]\n",
+      " [-38.408 -24.8  ]\n",
+      " [-48.    -31.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAHiCAYAAAAEZd6CAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAB210lEQVR4nO3dd3iURdfA4d+kN0CRIkhTpCgtICKCBWw0FUUsiAUbKoK9Y/fF1/ezYEexYUWwK2BBRUBApUjv0nsnpLf5/jgJCSGBJFuefZ4993XtRbKb7J6wyZ6dmTNnjLUWpZRSSnlLhNMBKKWUUsr/NMErpZRSHqQJXimllPIgTfBKKaWUB2mCV0oppTxIE7xSSinlQZrglVKHZIwZYIz5w+k4lFIVowleKZcyxpxmjJlujNlrjNlljJlmjDk5BOIaaYxZZozJN8YMKHFbS2PMT8aYHcYYbcKhVABpglfKhYwxVYFxwKtAdeAY4Ekgy8m4CswDBgFzSrktBxgL3BDUiJQKQ5rglXKnpgDW2tHW2jxrbYa19mdr7fzCLzDGXG+MWWKM2V0wam5Y7LbmxpiJBSP/ZcaYy4rddpQx5jtjTIox5m+gcUUCs9a+bq39Fcgs5bZl1tp3gUWV+JmVUhWgCV4pd1oO5BljPjDG9DDGHFn8RmNMb+BhoA9QE5gKjC64LRGYCHwK1AKuAN4wxpxY8O2vI8m5DnB9waX4fY8zxjwYqB9MKeUfmuCVciFrbQpwGmCBt4HtBaPu2gVfcgvwX2vtEmttLvAMkFwwij8fWGOtfd9am2ut/Qf4ErjUGBMJXAI8Zq1Ns9YuBD4o8djnW2ufDcoPqpSqNE3wSrlUQfIeYK2tB7QE6gIvFdzcEHjZGLPHGLMH2AUYZK2+IXBK4W0Ft/cHjkZG+1HA+mIPtTYIP45Sys+inA5AKeU7a+1SY8wo4OaCq9YDw6y1n5T82oJR/GRr7bml3BYJ5AL1gaUFVzcISNBKqYDSEbxSLlRQJHePMaZewef1gX7AnwVf8ibwkDGmRcHt1YwxlxbcNg5oaoy52hgTXXA52RhzgrU2D/gKeMIYk1CwLn9tBWOLMcbEITMG0caYOGNMRMFtpuC2mILP44wxsb78XyilSqcJXil32gecAvxljElDEvtC4B4Aa+3XwP+Az4wxKQW39Si4bR9wHlJctwnYUvC1hYl2MJBUcP0o4P3iD2yM+cEY8/AhYvsZyAA6ASMLPj6j4LaGBZ8XVtFnAMsq+sMrpQ7PWKu9JpRSSimv0RG8Ukop5UF+SfDGmPeMMduMMQuLXVe9oJHGioJ/jyy43hhjXjHGrDTGzDfGtPNHDEoppZQq4q8R/Cige4nrHgR+tdY2AX4t+BxkHbBJwWUgMMJPMSillFKqgF8SvLV2CrLPtrjeFDXI+AC4qNj1H1rxJ3CEMaaOP+JQSimllAjkGnxta+3mgo+3AIUdto7hwCYaGwquU0oppZSfBKXRjbXWVvRoSGPMQGQKn8TExJOaN28ekNiUUios7dsHK1dCfr7TkagyzIYd1tqalf3+QCb4rcaYOtbazQVT8NsKrt+IdMkqVK/gugNYa0cie2hp3769nTVrVgBDVUqpMNOrFyxf7nQU6hCMj22iAzlF/x1FHbCuBb4tdv01BdX0HYG9xabylVJKBdr27fDrr05HoQLMLyN4Y8xooAtQwxizAXgceBYYa4y5AXkXUnje9ASgJ7ASSAeu80cMSimlymnUKIjQNihe55cEb63tV8ZNZ5fytRa4zR+Pq5RSjsnKgpkzoVYtqF0bqlYFY5yO6vCshZdfhowMpyNRAeba0+RycnLYsGEDmZmZTocSNuLi4qhXrx7R0dFOh6KU8x58EN58E6KiJNlbC9WqwVFHScKvVw8aNoS6deXzwsvRR8vXOfVmYOpU2LvXmcdWQeXaBL9hwwaqVKlCo0aNMG541+xy1lp27tzJhg0bOPbYY50ORyln5eXJNHfJAcbOnXIpXrwWGwsxMTIlnpcH2dlSuV61atGbgWOOkTcDxxxT9EagSRP53N9eegnS0vx/vyrkuDbBZ2ZmanIPImMMRx11FNu3b3c6FKWc9/vvkqzLIytLLiXt2iWXFSuKriv+ZiA7W5LxwIH+iFjs3g0TJshsg/I8V1dZaHIPLv3/VqrAW2/JPnJ/y8qS+927V9bI77oLrr764JmCyvrwQ4iM9M99qZDn6gQfCjZs2EDv3r1p0qQJjRs35o477iA7O5tRo0YxePDgct/PSy+9RHp6eqVi+P333zn//PMr9b1KqQpKT4dx44L3WF9+Ce3awbp1vt2XtTIjUMnXGeU+3knwRx8tRSv+uhx99GEf0lpLnz59uOiii1ixYgXLly8nNTWVoUOHVjh8XxK8UiqIvvkmuKPgjAxZ02/VCiZOrPz9/PWX7H9XYcM7CX7r1qDf32+//UZcXBzXXSdb+SMjIxk+fDjvvfce6enprF+/ni5dutCkSROefPJJANLS0ujVqxdt2rShZcuWjBkzhldeeYVNmzbRtWtXunbtCsCtt95K+/btadGiBY8//vj+x5w5cyadOnWiTZs2dOjQgX0lpgnT0tK4/vrr6dChA23btuXbb79FKeVHI0ZAampwHzMvD1JSoHdvePrpyq2h69a4sOPaIrtQsGjRIk466aQDrqtatSoNGjQgNzeXv//+m4ULF5KQkMDJJ59Mr169WLt2LXXr1mX8+PEA7N27l2rVqvHiiy8yadIkatSoAcCwYcOoXr06eXl5nH322cyfP5/mzZtz+eWXM2bMGE4++WRSUlKIj48/4PGHDRvGWWedxXvvvceePXvo0KED55xzDomJicH5T1HKy7Zulb3vTsnIgGefhWnTYOxYqcQvj5QUmXnQvvNhxTsj+BB07rnnctRRRxEfH0+fPn34448/aNWqFRMnTuSBBx5g6tSpVKtWrdTvHTt2LO3ataNt27YsWrSIxYsXs2zZMurUqcPJJ58MyJuJqKgD36P9/PPPPPvssyQnJ9OlSxcyMzNZ5+vanVJKfPKJ8x3g0tOlir9FC1i8uHzfEwpxq6DTZ9wHJ554IrNnzz7gupSUFNatW0dUVNRBVefGGJo2bcqcOXNo1aoVjzzyCE899dRB97t69Wqef/55fv31V+bPn0+vXr3K3dDHWsuXX37J3LlzmTt3LuvWreOEE06o/A+plCoyYkRoTHNnZcGGDXDyyfD554f/ei2uC0ua4H1w9tlnk56ezocffghAXl4e99xzDwMGDCAhIYGJEyeya9cuMjIy+Oabb+jcuTObNm0iISGBq666ivvuu485c+YAUKVKlf3r6SkpKSQmJlKtWjW2bt3KDz/8AECzZs3YvHkzMwumCPft20dubu4BMXXr1o1XX30VW7BG988//wTl/0Ipz1u8GDYedPCls9LTZRtdideBA8yZI28GVNjRBO8DYwxff/01n3/+OU2aNKFp06bExcXxzDPPANChQwcuueQSWrduzSWXXEL79u1ZsGABHTp0IDk5mSeffJJHHnkEgIEDB9K9e3e6du1KmzZtaNu2Lc2bN+fKK6+kc+fOAMTExDBmzBiGDBlCmzZtOPfccw8a2T/66KPk5OTQunVrWrRowaOPPhrc/xSlvOr99w+dSJ0SHQ1LlpR9+6uvlt5oR3mesS7oaFTaefBLliw5cOr56KP9W0lfuzZs2eK/+/OIg/7flQoH+flyqMzOnU5HcrDERKmQv+GGg29LS4OaNUNjWUFVmIHZ1tr2lf1+74zgt2yRrSP+umhyV0oVmjIldEfBaWkweXLpt40Zo8V1YUyfeaWUOpyRI0P7gJZp00q//sUXQztuFVCa4JVS6lAyMmQPeSgvZ65bd3CV/MKFsGqVM/GokKCNbpRSACxdupRevfuQc5hCsgfvu5dBt/jxhLNQ9/33cuZ7KEtIgH/+gYKCXECK67KznYtJOS7Ef2uVUsGydOlS9tg4YrveVObXpC+bxtRp08Irwb/xRmBOjvOnrCzpNV+Y4DMzpblNeY+0VZ6kCV4ptV9UbCIxNRqUeXvWxqXAnqDF47jt2+HPP52O4vCysuC33+Duu+XzL76QQ7NUWNM1eKWUKstnn7mnCr14j/wXXwz+gTgq5LjkN/fw6tRrgDHGb5c69coexQDcddddvPTSS/s/79atGzfeeOP+z++55x5efPFFvvvuO5599tkK/SwDBgzgiy++KPW2O++8kylTpgBwww030KZNG1q3bk3fvn1JLfiDfuKJJzjmmGNITk6mefPm3HrrreQXHDKxdOlSkpOTadu2Lf/++y+ffvrp/vtesGABAwYMqFCsSnnaG2+4Zw/5nj2wYwcsW3boxjcqbHhmin7LxvU0fGCc3+5v7f/OP+TtnTt3ZuzYsdx5553k5+ezY8cOUlJS9t8+ffp0hg8fTseOHbnwwgv9EtPOnTv5888/97+xGD58OFULTpO6++67ee2113jwwQcBeQNy7733kp+fzxlnnMHkyZPp2rUr33zzDX379uWRRx7h999/59NPP+XKK68EoFWrVmzYsIF169bRoMGh3+Ao5XnLlsHatU5HUX7x8TKK//FHXXtXgIdG8MHWqVMnZsyYAcixsS1btqRKlSrs3r2brKwslixZQrt27Rg1ahSDBw8GZGR+++2306lTJ4477rj9o3RrLYMHD6ZZs2acc845bNu2rdTH/PLLL+nevfv+zwuTu7WWjIyMgw63AcjOziYzM5MjjzySCRMm8NJLLzFixAi6du3Kgw8+yNSpU0lOTmb48OEAXHDBBXz22Wf++49Syq1GjQrN1rRlSU2Vhjfvvw85OU5Ho0KAJvhKqlu3LlFRUaxbt47p06dz6qmncsoppzBjxgxmzZpFq1atiImJOej7Nm/ezB9//MG4ceP2j7a//vprli1bxuLFi/nwww+ZPn16qY85bdq0g86fv+666zj66KNZunQpQ4YM2X/98OHDSU5Opk6dOjRt2pTk5GR69uzJLbfcwl133cWkSZN49tlnOf3005k7dy533XUXAO3bt2fq1Kn++m9Syp2shffec1eizMuD115zOgoVQjTB+6BTp05Mnz59f4I/9dRT93/eufh+1GIuuugiIiIiOPHEE9la0Dt/ypQp9OvXj8jISOrWrctZZ51V6vdu3ryZmjVrHnDd+++/z6ZNmzjhhBMYM2bM/uvvuusu5s6dy7Zt20hLSyv3qLxWrVps2rSpXF+rlGdNm+bO41XT0kJ/S58KGk3wPujcuTPTp09nwYIFtGzZko4dOzJjxgymT59Op06dSv2e2NjY/R9X9KCf+Pj4Us+Fj4yM5IorruDLL7886Lbo6Gi6d+++vzDvcDIzM4mPj69QXEp5Tqi3plWqHDTB+6BTp06MGzeO6tWrExkZSfXq1dmzZw8zZswoM8GX5owzzmDMmDHk5eWxefNmJk2aVOrXnXDCCaxcuRKQNwfFP/7uu+9o3rz5Qd9jrWXatGk0btz4oNuKn0FfaPny5bRs2bLcsSvlOVlZ8OWXod2aVqly8EwV/dHH1D9s5XtF7+9wWrVqxY4dO/ZXoRdel5qaSo0aNcr9WBdffDG//fYbJ554Ig0aNODUU08t9et69erFW2+9xY033oi1lmuvvZaUlBSstbRp04YRI0bs/9rhw4fz8ccf7z8bftCgQQfdX+vWrYmMjKRNmzYMGDBg/9p8r169yh27coGJE+GVV6BXL+jaFZo21SYohzJ+PERGOh2FUj7zznnwYeK0005j3LhxHHHEEX6/76ysLM4880z++OMPosrovR2u/++uNmECnH++bKMCiImBZ5+FgQMPSPTffPMNNz/6AvG9HizzrvbN+5nzauxh9EcfBDpq55x7Lvzyi9NRKKXnwYebF154gXXr1gXkvtetW8ezzz5bZnJXLtWjByQnS9FYero0RLn7brl+506nowstO3eC7iJRHqEJ3mVOOeUUWrduHZD7btKkCV26dAnIfSsHGSMniyUkFF2Xng6TJkGTJjpaLW7MGJ2eV56hCV6pcNC5M5xyyoFr79nZsHs3XHghDBnirj3fgTJihDu3xylVCk3wSoWLl1+GuLiDr8/IgHffhdtvh/wwbnH6779yUcojNMErFS5atYKePUufgs7IgC1bIDWM936PGqU93JWnaIL3QWRkJMnJybRo0YI2bdrwwgsv7D+1raKeeeaZAz6vyD76kkaNGnVAN7obb7yRxYsXV/r+lIc89xxER5d9uwt21QSEtfDOO7JsoZRHaIL3QXx8PHPnzmXRokVMnDiRH374gSeffLJS91UywZfVj748Sib4d955hxNPPLHS96c85Nhj4eqrZaucKvLXX9riVXlOWCT47Lxsenzcgx4f9yA1O3X/x9l5/nu3XqtWLUaOHMlrr72GtZa8vDzuu+8+Tj75ZFq3bs1bb70FSD/5M844g+TkZFq2bMnUqVN58MEHycjIIDk5mf79+wOQlJQEwO+//06XLl3o27cvzZs3p3///vtb3D711FOcfPLJtGzZkoEDB2Kt5YsvvmDWrFn079+f5ORkMjIy6NKlC4V9BEaPHk2rVq1o2bIlDzzwwP74k5KSGDp0KG3atKFjx477++QrD3r6aa0UL2nkSPec+65UOYVFgu89ujeT105m8trJ1Hux3v6Pe4/u7dfHOe6448jLy2Pbtm28++67VKtWjZkzZzJz5kzefvttVq9ezaeffkq3bt2YO3cu8+bNIzk5mWeffXb/bMAnn3xy0P3+888/vPTSSyxevJhVq1Yxbdo0AAYPHszMmTNZuHAhGRkZjBs3jr59+9K+fXs++eQT5s6de0Bf+U2bNvHAAw/w22+/MXfuXGbOnMk333wDQFpaGh07dmTevHmcccYZvP322379v1GhIyU+ni3XX8+W2Fi2wP7L7nJ+f0Z6Blu2bDnosn379sAFHUjZ2fD551DJ5TWlQlVYdTTJyM0gI1fepcdHBfZAlZ9//pn58+fvP/N97969rFixgpNPPpnrr7+enJwcLrroIpKTkw97Xx06dKBevXoAJCcns2bNGk477TQmTZrE//3f/5Gens6uXbto0aIFF1xwQZn3M3PmTLp06bL/RLr+/fszZcoULrroImJiYjj/fGn1e9JJJzFx4kQf/wdUqGrdrj1bt24jkkiIOfDvIKlOk0N+b/RRxzBx/Kccf8LB5xVk7NvDksWLadq0qV/jDbgff9TWvcqTwiLBf37Z59R7sd7+5A4QExnDF5d94dfHWbVqFZGRkdSqVQtrLa+++irdunU76OumTJnC+PHjGTBgAHfffTfXXHPNIe+3+Al0kZGR5ObmkpmZyaBBg5g1axb169fniSeeKPWkufKKjo7GFLzIFT6G8qYTT2zBvuO7USW5e4W/N65eC+JuHnXQ9bn7dmA/uoOGDRv6IcIgGzFC19+VJ4XFFP2lYy89aL09Oy+bvmP7+u0xtm/fzi233MLgwYMxxtCtWzdGjBhBTkHzkOXLl5OWlsbatWupXbs2N910EzfeeCNz5swBJMHmVKDRSGEyr1GjBqmpqftnCqD0U+JAZgImT57Mjh07yMvLY/To0Zx55pm+/NjKha6/pj8Rq2f49T7Tl03jggsvPODNqCvs2SMd/ZTyoLAYwReKj4onJjLGb8V1hYVxOTk5REVFcfXVV3P33XcDsjVtzZo1tGvXDmstNWvW5JtvvuH333/nueeeIzo6mqSkJD788EMABg4cSOvWrWnXrl2p6/AlHXHEEdx00020bNmSo48+mpNPPnn/bQMGDOCWW24hPj6eGTOKXsjr1KnDs88+S9euXbHW0qtXL3r39m8dggp9PXv2JG3A9cSl7SYy8Ui/3KdZNZ3r7nvBL/cVVGPHQlSUHBGrlMeExWly2XnZ+wvqPr/scy4deykA3/b7lphI3S5UEXqanDf0uewKJu85kirtfD9iOWfPFvaNuZ+d27YQfag99qGobVuYO9fpKJQqla+nyYXFCD4mMoYfrvph/+fFP1YqHF13dX+m3PUI+CHBZy77gz59+rgvua9ZA0uXOh2FUgETFmvwSqkDnXfeeWRuX0duyg6f78v+O51rr7rSD1EF2Ycfhm/nPhUWNMErFYZiY2O54MILSV/m29nnOTs3YNN3c8YZZ/gpsiCxVprb6Nq78rCAJnhjTDNjzNxilxRjzJ3GmCeMMRuLXd8zkHEopQ523dX9Masq3xIZIHPZVC6/7HIi3dYZb9YsqaBXysMCmuCttcustcnW2mTgJCAd+Lrg5uGFt1lrJwQyDqXUwc466yxy924jZ8+WSn2/tZb8f6dzzVX9/BxZEKSm6vS88rxgTtGfDfxrrV0bxMdUSpUhKiqKPn36kLG0ctP0OTvWEp2fTceOHf0cWRB07Qq33goJCU5HolTABDPBXwGMLvb5YGPMfGPMe8aYgzbjGmMGGmNmGWNmhXKP62HDhtGiRQtat25NcnIyf/31Fy+99BLp6ekVvq+Sp8ApFWgDru4PlZymz1o6lX79LiciwqWlPP/3f3DqqeC25jxKlVNQ/jKNMTHAhcDnBVeNABoDycBm4KAOGdbakdba9tba9oW900PNjBkzGDduHHPmzGH+/Pn88ssv1K9fv1IJPi8vTxO8CrrTTjsNMvaSs3N9hb7PWkvuymlc09+F1fOFIiLgq6/gmGMgLs7paJTyu2C99e4BzLHWbgWw1m611uZZa/OBt4EOgQ7gkwWf0OilRkQ8GUGjlxrxyYLDd4s7nM2bN1OjRo397Tlr1KjBF198waZNm+jatStdu3YF4NZbb6V9+/a0aNGCxx9/fP/3N2rUiAceeIB27doxevTog455VSrQIiMjufzyy8lc9keFvi97y0oSY6No165dgCILkqpVYf58uOkmiA/sAVRKBVuwEnw/ik3PG2PqFLvtYmBhIB/8kwWfMPD7gazduxaLZe3etQz8fqDPSf68885j/fr1NG3alEGDBjF58mRuv/126taty6RJk5hU0ON62LBhzJo1i/nz5zN58mTmz5+//z6OOuoo5syZw1VXXVXmMa9KBdI1/fuRt3IaFelqmbPiD67u32//AUWulpgIr7wCM2ZAixa6Lq88I+AJ3hiTCJwLfFXs6v8zxiwwxswHugJ3BTKGob8OJT3nwCnz9Jx0hv461Kf7TUpKYvbs2YwcOZKaNWty+eWXM2rUqIO+buzYsbRr1462bduyaNEiFi9evP+2yy+/3KcYlPJVx44diSGXnO2ry/X11uaTtXwaV7t5er40bdrAvHnw7LOS9KPCotGn8rCA/wZba9OAo0pcd3WgH7e4dXvXVej6ioiMjKRLly506dKFVq1a8cEHHxxw++rVq3n++eeZOXMmRx55JAMGDDjgWNfExESfY1DKF8YYrrryCj6Y8QcxtY477NdnbVzKUUdUpWXLg8+Ed73ISBgyBJKTQU9aVC7n0vLXimlQrUGFri+vZcuWsWLFiv2fz507l4YNGx5wXGtKSgqJiYlUq1aNrVu38sMPZffBL+uYV6UC7aor+5G7onzT9Lkr/uDaqz02ei/u33/h4oudjkIpn4XFHNSws4cx8PuBB0zTJ0QnMOzsYT7db2pqKkOGDGHPnj1ERUVx/PHHM3LkSEaPHk337t33r8W3bduW5s2bU79+fTp37lzm/ZU85lXX4VWwtG3blqSEWLK3rCC2TtMyv87m55G5fDr9P3ouiNEF0erV0LEj7NqljXCU64XFcbEghXZDfx3Kur3raFCtAcPOHkb/Vv39Harn6XGx3vXQw0MZOWkpVc68vsyvyVw7n6rzR7N80fwyv8a11q6FDh1gxw7Iz3c6GqX0uNjy6t+qvyZ0pQ7hqv5X8tpbZ2PPGIAxpa/e5a78g+vceHLc4axfLyN3Te7KQ8JiDV4pdXgtWrSgxlFHkrVxSam327xc0pdNp1+/K4IcWYBt2ACnnALbt2tyV56iCV6pYMjLg0WLYMECpyM5pAFXXUnu8mml3pa5dh7HNW5Mo0aNghtUIG3aJCP3bdvkOVLKQ1yd4N1QP+Al+v9dTtbCypXw2Wey5apNG9lX3aEDnH6609Ed0pX9riBj+TRs/sHJLm/lH1x/jYeWubZskZH7li2a3JUnuXYNPi4ujp07d3LUUUd5o5tWiLPWsnPnTuK0Z/eBrIWNG+V88Rkz4PffYWFBY8bISCi57bFWraCHWBFNmjShXr1j2LNuAfGNkvdfb3NzSFvxF5df9r5zwfnbaafB5s2a3JVnuTbB16tXjw0bNhDKJ815TVxcHPXq1XM6DGft2AEzZ8Jff8GkSdL5LCsLYmIkmR9ulqNKleDE6YPrr+7Pc5//DsUSfMbq2Zx4YkuOOeYYx+Lyu1NOkQRfiZMflXID1yb46Ohojj32WKfDUF6WkgKzZ8Pff8vIfNYsuS4uDtLSDhz5FetOeEjVqgUkVH+64orLeXLYf0nsejMmUl4i7L/TuWGgh6bnAT7+GF57DR54APRwJ+VBrk3wSh1Sfj6kpkpC3rtX/i1+2btXLjt3ymX3btizR27bt08uaWly8EhmJmRnF9138Y8r6sgjff7RAq1hw4Y0Pr4J29bMJb5xe/KzM9m34m/69h19+G92E2OkRuKkk+D88+U5z811Oiql/EYTvAoteXlFibl4Mi75+Y4dByfm1FRJyunpkoSjo+XAkMhIOfsbJPHn5ckLeXkSdUqKf3++GjX8e38BcsO1/fnPB+OhcXsy/p1Ju/YnUyvE6wcqrVMn2eHQsycsW6ajeeUZmuBV6LjsMvjiC0nM0dGSmAsLKAsTc06OXMojO9u30XYguCTBX3bppTw09DESz8qGVdO5/o5rnA4psOrUkbqKwYPhk090XV55giZ4FTr++UeK1EIxMftLzZpOR1AudevWpUWr1qxZ+gepq+bQp883TocUeDExMHIkdO4MgwZpkleu5+p98MpjvP6CGhvrijX4QjdccyV7J71Dp86nU716dafDCZ5rr4U//oDatWUmSSmX0gSvQofTCT4hQdbsAyU6Go44InD372d9+/YlPyvNW81tyqttW1mX79BBfi+UciFN8Cp0lHerWSDExMh+9kBWUUdEuCrB16xZk/nz5tG3b1+nQ3HGUUfB5MkyXa9JXrmQJngVGgrX3oMtPh7q15dLoDsiGuOqBA9yAE1Ydy+MjITnnoOPPpJ2w9o1U7mIJngVGrKygv/imZAglfsvvywdzQK9B9pa2cqn3KdPH2l0VK+e1FIo5QKa4FVoSEsL7Pp3cVFRULWqbIcaMQJuvTU46/9padC3r+y7/uEHPZrUbZo3l3X5rl11yl65giZ4FRpSU4OT4AtPdVuyBC66CJ54wv/NbMqSlydNVGbMkJmDBg3g9dcl8St3qFIFJkyABx+U5R2lQpgmeBUaUlNlvTOQ4uPhscdg6lSoWxeWLoVXX3Wmc1lqqpxC98ADsh3r7beDH4OqHGPg0Ufh669lJihCX0ZVaNLfTBUaUlMDtwYfFydFdNOnw/33ywuytXD11c5W7oOM3tPS5OAT5S7duslpgscfL79jSoUYTfAqNASq+CwhAa64QkbryclF13/4oUzTH+5412AJlThUxTRqBHPnwgUX6Lq8Cjma4FVoSE31b5IrXkj3/vsHvvju2gW33x5aa9+a4N0rPh7GjIH//lfX5VVI0QSvQkNqqv+qygsL6ZYulUK6ku68U7blhRJN8O5mjLxpnDhR2hEHa0eIUoegCV6FhtRUqTL3VfFCujp1Dr59+nQ5sS7UErxumfOGzp1lK13LljqaV47TBK9CQ2qqb41m4uNl21nxQrqScnKksC4Uz/tOTHQ6AuUvhUfP9u+v6/LKUZrgVWhITS3/Oe8lFRbSLVlyYCFdSS++CFu2VO4xAikxUaZ3lXfExMjWx9df1ySvHKMJXoWGPXsq/j2FhXSffgrvvXfoF9J16+Cpp5w/sa5QRIQ0TUlKkqY3vXo5HZEKhAED5OjZWrX06FkVdFoJokJDRRN8QoIc6fn556WvtZd0443OHGZTXGysNPOpWhUuvVQup56qBVle17YtLF4MvXvLlrpQ2r2hPE1H8Co0VCTBx8dLi9kpU8qX3L/9FqZNC/xhModSeLDNrFmwaRO88gqcfrom93Bx1FGyjU6pINJXFxUaytMPPj4eataUhH2otfbi0tLgppucn5qPioJLLoETTnA2DuWcV15x/vdQhRUdwavQsG/foW9PSIB+/Q5fSFfS0KGhcUSrC8+CV360Zw+MG6f9DlRQ6QhehYay1iWjoiS5f/QRXHhhxe5zwQIYOTI0tsVZqwk+nH38sR5Ko4JOE7wKDaUl+MREGa2Xt5CuuPz80DhMplBenib4cGWtbNHU6XkVZPqWUoWGkqPsihbSlfTuu7ByZehMiebkaIIPVzNnwtatTkehwpCO4FVoKEzw8fGyZ/jbb6FNm8rd1/btcM89obUdKSdH9r2r8PPKK6Ezk6TCio7gVWjIzJQzta+8UgrpKpvcAQYPDr1e83FxugYbjvbtg6++0rMGlCN0BK9CQ9++UiV/wQW+3c/kyVKt7HRTm5K013x4Gj1a39gpx2iCV6Hh0099v4/sbLjmmtAsZtLp+fD04ouhtVSkwoq+tVTe8d//wo4dTkdRumrVnI4gNOTlySEs110Hu3Y5HU1gzZ0L69c7HYUKYzqCV96wahX873+hsee9NEce6XQEzps8WboKbtokNRJxcTBihNNRBc6rr4ZeLYgKKzqCV+5nrZzaFWrr7sXVqOF0BM5ZtQp69ICePWHFCpmyzs2FUaNg82anowuM9HT47DOZsVDKIZrglft98QXMmRPaL6Y1azodQfClpMh2xZYtYeLEg2sj8vPhP/9xJrZAGztW2hMr5aCAJ3hjzBpjzAJjzFxjzKyC66obYyYaY1YU/Kvzl6pyUlLg5ptDv5ApnBJ84Tp7gwbwxhuybFLam6/sbHj/fW82gdHiOhUCgjWC72qtTbbWti/4/EHgV2ttE+DXgs+Vqrj77w/ddfdCsbHhswY/eTI0bw533QV79x6+wUtenvdG8YsWSRdFpRzm1BR9b+CDgo8/AC5yKA7lZnPmwIcfhn6XsOho77epXbUKuneXdfaVK8s/es3OlrbC27YFNr5gev116VyolMOCkeAt8LMxZrYxZmDBdbWttYXVNVuA2kGIQ3lJXh5cdVXoj94BIiO9n+A7dCh9nb088vNh2DD/x+SEzEw5+TA31+lIlApKgj/NWtsO6AHcZow5o/iN1lqLvAk4gDFmoDFmljFm1vbt24MQpnKVN96AdeucjqL8vJ7g8/Iq3441K0vauXqBV34O5QkBT/DW2o0F/24DvgY6AFuNMXUACv49aH7OWjvSWtveWtu+ZjgVKKnD27IFHnrIPUVM1nq/0c3JJ1f+exMS4Pbb/ReLk158EVJTnY5CKSDACd4Yk2iMqVL4MXAesBD4Dri24MuuBb4NZBzKY265JbT3vJcUDmfBX3utnARYGdHRcNtt/o3HCbm50r1OqRAR6BF8beAPY8w84G9gvLX2R+BZ4FxjzArgnILPlTq8iRPl4qYipnA4C/7ii6X9bHKyjMjj42XWIjr60N+XkACPPir/ul1UFFx0kR4uo0KGkSXw0Na+fXs7a9Ysp8NQTsvMhOOOc1/3M2NkdBcuL/zWSjva+fPlMmMGzJsHGzZIe1pjZBrbWnnjs2lT5Uf/oWbuXOjUyR3FnyrkGZhdbHt5hWkveuUeTz0le6vdJjY2fJI7SAI/5hi59OhRdH1ODixbJuvtkyZBmzZSS+GV5A4yg9GyJcyc6XQkSmmrWuUSy5fDSy+F5lGwh6NnwYvoaHmjM2mSfD5rFlx+ubMxBcLjj0NSktNRKKUJXrmAtXLOu1tP5tKz4EV+PvTvLx/fd5+sWXtRjx7e3zWhXEETvAp9n3wCCxdWfp+10/TFXrz9tszExMbKTgivioiARx7RmRvlOE3wKvT98os7p+YLhUsf+kPZuhXuvVeex+RkKZb0smuvDa+6CxWS9DdQhb6bb3b3NqqjjnI6AufdfLMssVSpAnff7XQ0gRcfD4MHy2yFUg7RBK9CX8eOUKuW01FUXrh3YvzxxwN7F/Tu7Ww8wXLHHXomvHKUJngV+oyBe+5x7yjezW9OfJWeDgMGyL9RUTJ1HS6j2tq1pQFQZKTTkagwpQleucM117izyC4mJrzX4IcOhZQU+dgrLWkrYuhQ+R1QygGa4JU7VKkCl13mvsKlcDgLvizz58NbbxV1dWvaFJo3dzamYGvRAtq2dToKFaZc9mqpwtrdd0urUzcJh7PgS1O4570wuSclwV13ORuTU7TxjXKIJnjlHm3awLHHOh1FxRgTngn+9ddh9eqiz/Pz4dJLnYvHSeeeCzVqOB2FCkOa4JW73Hefu0ZDhQeqhJNNm6THfFqafB4ZCf36ubdI0lfGyIl5bvq9VZ6gCV65y2WXOR1BxYTDWfAl3XjjgW2FY2NhyBDn4gkF/ftrNb0KOk3wyl3i42WrlVv6mIfDWfDFff89TJ4sx+MWql9fllfCWWws3Hmn+2pIlKtpglfuc/vtUp3uBjk5ULWq01EEzx13HNhWODExfIvrSho82OkIVJjRBK/cp2lTaNXK6SjKJ5zOgl+3DjZvPvC6vDy48kpn4gk1NWrI8bg6Va+CJExeeZTn3HefO45hDacTxSZMOPDNTEQE9OnjjucpWB56yD2zT8r1NMErd+rd2x0j43BKbp99duD0fHy8LKeoIs2awamnOh2FChMueIVUqhTR0XJCWai3AQ2X9ffMTPjzzwOvq1kTOnRwJp5Q9thj4TWzoxyjCV651223hf4oPlz60E+ZcuAhMgkJeppaWc48E+rUcToKFQZC/NVRqUNo0ECOkg1l4XIW/Fdfwb59RZ/n58sBQepgxmj7WhUUmuCVu4V6sV24nAX/7bfSta9Q9+5Qvbpz8YS6yy/XYjsVcJrglbt16xbazUPC4Sz4FStg796iz5OSpKmLKlt0NNx7rxQiKhUgmuCVu0VGSqV2KCb5cDkLfty4A0fvVavCGWc4F49b3Hqr0xEoj9MEr9zvppsOTDChIlzOgh8zRqroQd5oDRmixXXlceSRcPXV7mm7rFxHE7xyv9q15UjOUBMOZ8GnpsI//xR9bi1cd51z8bjNAw9oglcBowleecO994ZeVXI4nAX/228HLo906SJvuFT5HHecLmeogNEEr7zhjDNCL5mGw1nwX3wBKSnycZUqerBMZWjjGxUgmuCVNxgDd98tDVZChdfPgrcWxo8v+jw2NjSXSkJdp07QsKHTUSgP0gSvvGPAAGmwEiq8fhb8woWQlSUfx8bCoEGh31kwFBkjo/hQW2JSrqd/jco7jjxSDqEJlQpur58F//338jMWuukm52Jxu0suCc2tnsrVNMErbwml5iGxsd4++3vMGMjOlo9POQXq1XM2HjeLipKK+lBaYlKupwleeUv79vDww6HxQunlwqndu2HpUvm4ShWpf1C+GTjQ6QiUx2iCV97z8MMweLDzSd7La6oTJxadHhcZCb16ORuPF1StCtdfrz3qld9oglfeYwz873/w/vvOJvlq1Zx77EAbO1ZOj4uJgRtv1GYt/nLffd5e1lFBpQleeddll8Hff0PdupKIgs2rfejz8+Hnn+XjiAjtqe5PDRrIVsNQKRRVrqYJXnlbixawaBF07hz80bxXz4KfPbuo93/r1tKNTfnPI4+ETqGocjVN8Mr7jjgCfvkF7rgjuC+cNWoE77GC6dtv5XAZLa4LjA4doEkTp6NQHqAJXoWHiAh45hkYPVqq24MxBerVs+C/+AJyc2UUf9FFTkfjTU884e0iTRUUmuBVeOndW6aY69cvqgIPhJgYqF49cPfvlK1bYfVqKaq79trA/h+Gswsu0ASvfKYJXoWfZs2kzWrXroFbl4+O9mYV/U8/yc8WHQ233eZ0NN4VGQkPPeT8Vk/laprgVXiqUgUmTJDuYYFYl/fqWfBjxkBamqwRn3CC09F42w03yEyJEztAlCdoglfhq/CQjy+/lGRcpYr/Dkvx4lnwubkwaZL0TNdjYQMvMRHmzpXGTQ0bymhem+CoCtAEr1SPHrBjhxyecsMN/kn2XjwLfsYMOQI3IkJ6DKjAO/ZYePxxWLNGejrcc4/0dUhM1OZC6rACluCNMfWNMZOMMYuNMYuMMXcUXP+EMWajMWZuwaVnoGJQqtwiI+HMM2HkSNi5U9aaBw2SrW5JSRV/MfXiWfDffCOHy1x+ua4NO6FFC/jvf2HDBvjjD9n2WauW/H5q9ztVCmMLG1b4+46NqQPUsdbOMcZUAWYDFwGXAanW2ufLe1/t27e3s2bNCkicSh2StVJ1/9ln8Mkn0p41O/vAY1JLExMDmzd7q5K+USNYuxb++QeSk52ORoH8fs6cCR99BJ9+Kr+b6enSbVC5noHZ1tr2lf3+gI3grbWbrbVzCj7eBywBjgnU4ykVEMbICXXPPw+bNsH06XIkbf36MootqwDKa2fBr18vyb1ZM03uocQYaYzz6quwfTv8+KMsM1WrJstM2vI2rAVlDd4Y0whoC/xVcNVgY8x8Y8x7xhiPNuxWnmOMtGZ95hlYtw5mzZICqOOOk0r84nvCY2K8tUY6YYL8e8cdzsahyhYRIS2ZC5eZvv0Wrr5apvCrVHE6OuWAgE3R738AY5KAycAwa+1XxpjawA7AAk8j0/jXl/J9A4GBAA0aNDhp7dq1AY1TKZ+sXCkd3kaNkkYwVavKiMorunaFadOkGNFLMxPhICdHdj+8954UkkZGylKTCnm+TtEHNMEbY6KBccBP1toXS7m9ETDOWtvyUPeja/DKVdaulV7tzZo5HYl/ZGVJUr/kElnnVe6VnS0nAb73Hvzwg2y702QfskJ2Dd4YY4B3gSXFk3tB8V2hi4GFgYpBKUc0bOid5A4wZYokhttvdzoS5auYGDj/fPjqK9i1S2acevaU5SWdxvecQC4SdgauBhYYY+YWXPcw0M8Yk4xM0a8Bbg5gDEopX331lVTQn3KK05Eof4qPhz595JKWBuPGwdtvyxa86GhITXU6QuWjgCV4a+0fQGklnBMC9ZhKqQAYP16OhdWKbO9KTJT+BpdfDikp0vPg3Xfhr7+kWDQtzekIVSVoJzulVNlWrJAT5K65xulIVLBUrSrP9+TJsjX0pZdk9iY2VhscuYwmeKVU2XbuhDvv9FbDHlV+1avDjTfCn39KL4TnnpOOejExgTmkSfmVhzbqKqX8rmNHuajw9NVXMHAgZGTIdrucHNlmV9jjISZGCjBVSNIRvFJKqdKddhoMHiyj9cKT7PLyZOtkRoYm9xCnCV4ppVTpatWCJ56QOoyxY6FLF1mL1zPqXUETvFJKqUOLjIRevaQj3ooVcmztkUdKG1wVsjTBK6WUKr/69eU8hm3b4OOPpf99XJyO6kOQJnillFIVFxUFvXtLY5wlS6TTYeEpdiokaIJXSinlm0aNZAvd9u3S5/6UU2RUX1iYVx7R0XIinvIb/d9USinlH9HR0Lev7JtfsAAGDZIRfXnW6gu34IGeZe8nmuCVUkr53/HHSxe87dvljPp27WS7XdQh2q/k5Ei3vKOPhksvlRa6OuVfaZrgA+2PP6B1a7jiCvj8c9izx+mIlFIqeGJjoV8/mD0b5syRxjmJiWWP6tPTYcMGqdZfsgTGjJFZgfh4TfYVFNDz4P3FlefB5+TAI4/Aq69KQwiQX86sLDlK9NJL5djG5GSdilJKhZeMDBnwvPCCJPLsbGmgU1xUlPTFnzBB1vQzM+Gnn2SN/+efw+Ise1/Pg9cEHwgrVsDFF8Pq1fJutDQxMXKJjIRu3eCSS+Dcc2VvqVJKhYuFC+GVV+CTT2SwU/Lkuvh4meofOLDouvR0Sfzvvit78z16vK0m+FBiLbzzjhzOkZEhn5dX4ei+adMDR/daVaqUCgfp6fDZZzKqX7NGXg8LR/UJCXDZZfDWWwfvt9+3D77/Xl57p0/3VLLXBB8qdu6E/v1h6tSyR+3lVTi6j4iA886T9adzz9UTvZRS4WHuXHj5ZVl/j4iQUX18vAyAfvgB6tQp/fv27JGz7N9+W9b8XX6WvSb4UPDzz1JEl5YWmMMXCkf3TZoUje7bttXRvVLK2/btk6n7F1+EjRtl8HTEETB+PHTqdOjv3bkTvvxSRvbz58tyqK+DryDTBO+kzEzpyfz++0WFdIEWHS1VqcbI2n2fPjLKP+qo4Dy+Uko5YdYsGD5civPy86WA+dZby/e9W7fK973zDixdKoOjYL1m+0ATvFMWLYILL4TNm539RSkc3R9/vEzln38+nHSSju6V8sXmzVIs27w51KypO11Cyd690gN/xw54/PGKf//GjTL1/+67sGqVXJeZ6d8Y/UQTvBP27IHjjoPdu52O5EDFR/fnnCMJv1s3Hd0rVVHnngvTpslIMSJCWrG2aCHNWpo3l0vjxnrAitutWSOFfe++K4k/Ly+kzrjXBO+E66+HTz+VkXMoKxzdN24syf6CC3R0r1R5tG4trVZLioqSiu78fJm5q1lTamPatYOWLSXxN2sGNWroqN9tVqyQ1/X335fuezk5cnGQJvhg++sv6NrVFes3Byg5ur/kEhnd16jhdGRKhZ6GDWHduop9T0KCvAHIzJR/yxr1V+QAFuWMxYtlGeDDD2XGNisLcnODHoYm+GDKzYUTToCVK52OxHdJSTIVddxxkuwvuADaty867EGpcHbkkf5rK11y1F+rVtmjfhVarIV58yTZf/SR7JTKzDy4616AaIIPpueegyefdPW+ylJFRckeU2vh7LOL1u5r1nQ6MqWcERMTnOnZxER5U52ZKSP7Ro0k6bdtK4OJZs3kTbiO+p1nrVTyf/ihTOVnZ8u2u/z8gD2kJvhgWb9e3mm7bB9lpRSO7o89tmh0f/LJOrpX4SM21tliq+hoedOdny/Jv1YtafLSti20aiWJv1kzLaB1Sn6+HIn7wQdSkZ+fL93z/JxPNcEHy3nnSc9jB9ZhHFU4us/Ph7POkkY73brJC45SXtWoEaxd63QUpSs+6o+JKXvUf6hjWZX/5OVJB9NRo6SxjjF+OwRHE3wwfPstXHlleIzeD6dwdN+oUdHovkMHHd0rbznrLHlD7yaFo/68PCkKq1VLBibvv+90ZOEjNxd++03+z7/7Tl4XfUj2viZ43S91OGlpcNNNmtwLpaZKgl++XGoSunWTIx0vuEDWprZudTpCpXzXooXTEVRcTg6kpMhrVm6uNIIJ9a28XhMVJW+qRo+WPimffionizp0lr0m+MN5+GHPnEzkd7m58u40PR3GjYPbboMGDWSt8KGH5GSnIFWbKuVXJ54IcXFOR1F5CQlw333Sx105IyZGOot+9RXs2iXr9b16SX1HkJK9TtEfyvz50LGj+/a8h4LCtfu8POkbcOml0L071K7tdGRKHd6+fXDaabBsmftGwfHxMGIEXHut05Go0qSlyYDo3XdhypRDHm+ra/CBkp8v57GX1s1KVVxiokwhNmggB+RceCGccooWAqnQlZIiSX75cvck+aQkORu9SxenI1HlkZIiNV7vvCNN1Eocb6sJPlBGjJApLq/teQ8FxUf3XboUje6PPtrpyJQ6kFuSfFSUbJmbNEkq6ZX77N4t0/nvvAP//AORkZj0dE3wfrdtm7SU1LX34EhMlPX8evWKRvcdO+roXoWGUE/ycXHyevXrr7oE5hXbt8OXX2JuvVUTvN9dcolMczl80EBYioyUAqG8PDjzzKLRfZ06TkemwlmoJvmEBDj9dBn5JSQ4HY3yM2OMbpPzq99+gx9/1OTulLy8osr8H36AIUOko17jxrJkMnVq+DUbUuUTyMFK1arwxx+yQyQ2NnCPUxEJCTBgAIwfr8ldlUpH8MUVHq26cWPgH0tVXOHoPjcXzjhDRvc9ekDduk5HpgItL0+WzjZuhA0b5N81a+Tgp7VrYcsW2ffdq5eMZgN1VGuojOTj4+G//4U77nAuBhVwvo7gwy/B5+dLg5YdO6TAq1MnOTkK4JFHYPhwbWrjFoVr93XrFq3dn3qqHszhRV26SO/vwtFzdra0ai0pIQGGDpX+FYHidJJPTJRGKhdcEPzHVkGlCb4iUlPlpLSpU+XFISlJ9rhfdBE89ZQc36h73t2p+Oj+9NOLRvfHHON0ZMofbrlFqovL0zgpPl7ahJ5zTuDicSLJR0RAtWowcSKcdFJwHlM5ShN8ea1eLX/wGzce/AeZkCBTehkZAT36TwVR8cr8H3+E4493OiLli9mzpeiyvNtWq1aVRlUNGwYupmAm+dhYKTSdPFl6SaiwoEV25fH779K0Zs2a0v8Q09PlhUOTu3ekpclzvXatjPyUu7VrB9Wrl//rU1Nl90Vp0/j+UrWqzAYGuvAuPl5+/rlzNbmrCvF+gn/tNejZU95tawIPP7m58NlnTkehfGWMTNOXN5Hm58ubu+uuC2x1fbVqgU3yCQmyhDh5sjyWUhXg3QSfnS1bSB54QNfVw922bVJtrdztmmsq9vUZGbIWP2JEYOIpFKgkX/zAGC0cVZXgzQS/fbtUx48dqxXxSkZzX33ldBTKV/XqQZs2Ffue9HS4916YMSMwMRXyd5KPj4e33oInngjclj/led5L8Nu2QcuWUmCjI3cFshb/8cdOR6EqqrQltUGDZPdLRWRkyLGdW7b4J66y+CPJGyNHif74I1x1lX/jU2HHewl+1y4psNFOdKq45cth61ano1DlsWKFNHA54gh46aUDb7vkksp1MkxJkSY4gX5d8CXJR0fLgUszZ0ojJ6V85L0E36yZ7IlWqrjISDmWUYUua6FzZ2jdWtbN9+2D998/8GuSkqRotqJyc2HpUml9HGiVSfJxcdC8OcybJ69hSvmBYwneGNPdGLPMGLPSGPOgH+9YupkpVVx6Onz0kdNRuMonCz6h0UuNiHgygkYvNeKTBZ8E9gFzc6V+Jju7aKS9dKkk+uJuvVWmsSuq8HcgGL8HxZN8TMyhvzYhAbp2lfPAa9YMfGwqbDiS4I0xkcDrQA/gRKCfMeZEvz1Ar17yjlip4v7+++BkoUr1yYJPGPj9QNYurIOd+gBrF9Zh4PcDA5vko6Php5+kSVGhuDjZIlZc166VP0o4PV22282bV/k4y6swyd98szTZatZMlh0iIiSpV6sm/954I4wbJ4V1SvmRUyP4DsBKa+0qa2028BnQ22/3fuaZepa4OlhsrBQvqcMa+utQ0lcmw/uT4ben4YNfSV/VmqG/Dg3sAx97rOx+KUx2+/ZJ8isuMhKuvda3JN+9u9TrBFq1avDKK9JedulS2L1bmu8sXSq/iz//DC+/LElfKT9z6rfqGGB9sc83FFy3nzFmoDFmljFm1vbt2yt27y1b+hyg8qB9+3SavpzWLq0OX4yB/BiwUZAXDWu6sG7vusA/ePfu0r8iIUHW5cePP/hrbrjh8FPfh7JrF1xxReW/3xfR0VC/PnTsKDUHSgVIyL5ttNaOtNa2t9a2r1nRdanISHjvPZnqi40tmgpT6pdfZI1XlSo1Fe65Bxg5E3LiITILTA5E5kCj32lQLUitUh99VPq8x8bKyY8bNhx4e8uWvh0TnJ0Nq1b5FqNSIc6pBL8RqF/s83oF1/nPpZfKiG39eulm5cu7feUdUVFyNoE6yPjx0KIFvPginNV3FfH3toIBXeCsx+Das0k4bj7Dzh4WnGAiIuDzz6XoLCtL3piVNGiQb+vWbdtW/nuVcgGnEvxMoIkx5lhjTAxwBfCd3x/FGHmBWLJE98UrkZqqvelL2LwZLrtMesEkJUld2K9jm/D2Zc/RsOVmzOn/o2HLzYy8YCT9W/UPXmBVq8oadXQ0fP31wbf371/58yViYmSKXCkPcyTBW2tzgcHAT8ASYKy1dlHAHnDhQm1Zq4S1kiz04CHy8+HNN+GEE2SS6+mn4Z9/ZGYcoH+r/qy5cw35j+ez5s41wU3uhU44AT79tPTeFrVqwSmnVO5+o6N1BK88z7E1eGvtBGttU2ttY2ttYOf9zj67cvtmlTfl5kq3sDC2aBGcfrpsKW/XTjo7P/JIiK5kXXJJ2WcJ3HZbxf+2ExLklLkuXXwOTalQFrJFdn512mmBPRdauUtGhqzvhqGMDEnkbdvCsmUwahT8+qv0Y3GlCy6AvLzyf318PDz8MLz6qm5NU54XHr/hNWpA7dpOR6FCRV5eWK7D//abdIEdNgz69ZOt2Nde6/LDyuLjoU+f8v0Q8fGy53xogPfyB9PDD0udUYcOcjz2Cy/IesuSJTqoUYRPN5iuXeHDD52OQoWK3bslwzVv7nQkAbdjh2x9+/BDOP54KUg/+2yno/Kjm2+Gb76RAsqyxMfLWv5FFwUrqsDbs0cO48nIkCd55kxZY4mLk1qT9HTpnNeokWyPaNlSpmqOPx6OO04754WB8Enw3bpJcZW2KlUgo/gvv/TWaK4EayWp33MP7N0rP+rQoR58Xe/cWdbVy0rwSUmyB9BrJ7S99dbB12VnH9jnYedOucyeLYWF8fFFyb9aNUn+J54IrVpBkyZyOe447RviEcZa63QMh9W+fXs7a9Ys3+5k/Xp596rTVqrQCSfA4sVORxEQK1ZIy/XffoNOnWDkSBnEedbDD8v0dPHkZowksUmTIDnZsdACIjcX6tSRkbs/lEz+VatCw4aS/Fu3lsR//PFy0eQfNMaY2dba9pX+/rBJ8CDbaira9lZ5lzHy+3DUUU5H4jfZ2fB//wf/+Y/M1P7vf3DTTWFQT7ZypYxCC9/AR0VJ7c0ff0Djxs7GFghjx0q73kMtS/hLVFRR2+CMDJkRadhQ3iC3bl007d+4sdym/MbXBB8+U/Qg+4LK2m6jwkdSkuyrHjIEqld3Ohq/mTYNBg6USYlLL5V6sjp1nI4qSApHlwsXyjp0gwbSsefoo52OLDCefjo4yR1ktiAlpejzPXvkMm8efPFF0Yg+PV3agzdsKLUtbdoUTfs3bqxblR0QXgm+Rw85jjItzelIVLAZI1OQxx4LDz4ordtCctN3xe3ZI2ezjBwpeW3cODkxOezcequ8aWvVSvb+VavmdESB8ddfodNHv2Ty37tXmirMny+DqeLJPyFBfkFLjvyPP16WBJTfhVeCP/10pyNQwRYXJ/+ef75kwfaVnu0KOdbKTO0dd8hKw913w5NPhvEs6VVXScK56SYPVhIW85//yFR5qCuZ/FNSZIZl4cKi5G+MJP/4eEn+JUf+xx/v3TdqQRBea/DWyi+LVtJ7X5UqsnZ4xx0ysqtVy+mI/GrNGmniNmECnHSSjN7btXM6KhVw69bJyDcry+lIAicysij5Z2TIiYINGkCzZpL8C0f+TZrINkAP0zX4ijAGTj1VDrBQ3hMRISP2Zs2kqvqiiyTJe0hurqytP/aY/DoPHw6DB3vux1RlGT5cBipelpd34CAsJ0cKSxYvhm+/lXX+wuQfEwP168vI/5pr4OKLnYs7BIXfy0LPnjBlim6X85LC7T2XXAL33Sfv8j1o1iwpovvnH+nQ+tprMrBRYSI1Fd5++8CtgOEmP//g5L90qVx++kkaHp13nmPhhRqvb5452BlnyJ5P5X5JSdKm8/HHYeNG+PhjTyb3ffvgzjvl4LQtW6Rw+dtvNbmHnfff9/7o3RcZGfIm36O9LSoj/BJ869Z6NrybRUbKiP2UU+CTT+Qw8wce8NR2t+K++04a1LzyijSuWbJEXsNc3T9eVVx+Pvz3v3rs9eGkpcn/kwLCMcFHRkpVknKXhARJ7AMGSNvNP/+ECy8s/ZxwD9i4URJ5795SFzptGrz+uhYUh63x47U4uDwSEmQXhQLCMcGDrMPrNL07JCVJp7kbb5TR+jvvyD5aj8rLk0R+wglSIf/MMzBnjtSGqjAWzMY2btakiffOHPBBeCb4M8/09j5Zt4uOlmr4M86A/v1l2u3ddyXBe9j8+XJuyuDBsgKxcCE89JC+Fw178+bJL4M6tMREePZZp6MIKeGZ4Nu31yr6UJSYWDTFNm+eHBDy0UfyXKWnS3WsB6cp09Olud5JJ8G//8qP/PPP3myhrirhmWe8ve/dX445RivoSwi/bXIgjRNOPBHmznU6EgUyDV+9uhTLXXONDFkvu0wOLi8sKrIWtm2T6ydM8EyV2cSJUjy3ahVcdx0895ynzr5RvtqyRSot8/OdjiS0JSVJcZ1HXhf8JTxH8CB96T1aoOUKMTEyDX/uubLna80aGDRIdjh07iyZr2TFcFaW9DAYNsyRkP1p2zbprHreedKkZtIkeO89Te6qhFde0a1x5XHUUdLYSh0gfBN8164yJayCKzFR3m3fdps0p/j5ZzjrLHnnvXatTMsvWFB2r+30dJmydGk3QmslkZ9wgvSRf+wxWY3o0sXpyFTIycyUbkY6PX9oSUnSn9/zZyJXXHhO0YOUJbvhwAYvMEbW1o8+WqrGrrzy4CLHOXPgnHPkNKrDTUdmZMh5qPPmQaNGAQvb35Ytg5tvhsmT5dyjt97y9IYA5atPPtGp+fJISoIrrnA6ipAUvgk+KUmODl2+3OlIvCs2VpL7OedIFVmnTqWvkf3wA/TtW7EmHqmp0L279G0N8R0RWVlS3PvMM/I+5+234frrXTrgeOcduOsu+UFq1pQD5+vXlzdaderIm7jCS61a8jugKi4vT0alerT1oSUmyhGKehhDqcL7f6VbN1ixQte4/C0pSbLXoEGy5+uYY8r+2pEjpQ9rRWdT8vNlSn/AAPjss5AtrpkyRUbtS5fKIGP4cMl9rmOt7MV+9ll5rlJTpZBg0SK53Rh5o1X4QpubK1PMcXFw5JGS7I85Bho2hHr1Dn4zUKOG1sSAJPbPPpM3xLt2OR1N6IuNldcAVarwTvBnnw0ffHDgmcWqcgpf4Bs1khenyy47/Ojt7bdlNFjZpZLMTBg3TjrDDB5cufsIkF274P77Zft+o0YySdG9u9NRVVJ+vhy5+/HHZT9X1pY+A5OeLpeNG2W2BeRNQGys/GutHJ6SnV20m+Loo+XNQKNG8mag8E1A7dry7xFHhOwbukrLy4PRo2UJa/duHbmXR0ICPPKIFOyqUoXXefAl7dwJdeuG9+lMvoqLk3979ZJtbiefXP7vPf10+OMP32OIj4dffw2Jdm/Wyuv0XXfJr9fdd8tZOK6t58zKknqHX391pg96TIy8GYiIkDcaWVmSDI84Qiqn69SRNwGNGsnfcvFZgdq1Q/8/Pje3KLHv3avd6iqialVpfpWQ4HQkAaPnwfviqKPkRWD9eqcjcZ8qVWQEdvvtMhVfq1bF78Nf3bkyMuD882W62MH579WrZaD700/yPuenn2RTgGulpMgy1rx5zhWkFo7uS9q5Uy7Fa2ji4uQNgTGSOLOyZNr/iCOkXqBuXTmCr2HDA98IFNYLBHMkmJsLn34qiT0lRRN7RcXHy9HQHk7u/hDeCR6kAOz9952Owh0iIuRFtGlTePhh2Xda2T6q27b5N2mkpMgswp9/Br23a06OrK0/8YTkk1dekfc8rl5S3rpVWgWvXeuebVqZmQd3qMzNlZ9l69aiN5SFv8cl6wXi42WJoGbNonqBBg0OnhWoUaPyFZK5ubLU8fDD8jurU/GVExEhgwt1SJrgzz1XDtj2YAtUv4mPl7nnPn3kXbM/hqULF8qLrL+SR26unKU6ZAi8+aZ/7rMc/v5bOuvOny/vd159VWaMXW3lSlk+2bFD/l+9Jj+/9OWGtDS5rF8v2zZB3gTExcm7teL1AlWqFM0A1qtXVDxYcmagatWiGYWPPpLEnpqqI3ZfxMVJcq9a1elIQp4m+NNP1/Phy5KUJH9M99wjWcyfbdby8vx3X4UyMuRFtHNnuPpq/99/MSkpMHSo1PfVrQtff+2RRlpz5kjjoZQU3V0CkphLS8Z798pl1aqi62JjZZo/IkJ+v7Oy5P+wWjX5PCdHR+z+YIy8JqnD0gRfr568G9fDZ0RkpLxItWolo43zzw/MXHPVqoFJIOnp0ty9dWto08b/948k8yFDYNMmKd7/z388MpiYOBEuvliTUGVlZZU+I7VzZ/Bj8aqYGDk6Wns6l4sbW23435lnOh2B8xISZCr+mmtg1iz46y/o3TtwC8nNmweucCs9Xfak7d7t17vdsEFG6X36yOvLjBmy3u6J5P7pp/J8a3JXoSwiQgoTVbloggdJBqG+nSZQkpJkq9HTT8uWk/fek5P2Aq1aNZnbDpRduyQb+6HVZ16eJPITTpAW+P/7n7wHOuUU38MMCS+8IKMibd2sQll0NPTvL69Xqlw0wYNUC4fTemNh4dDpp8uJJxs2yIbtatWCG0evXoFrZZqdLVl46FCf7mbuXNlef8cdsrS/aJE0sAlyoX5gWCvP+2OPaXJXoS8yUn5XVblpggc4/vjw6GWcmChT8TfeKGXfU6bIsblONUX/738Du5aWng4vvyznaVdQWpok8vbtZafYp59KN7pjjw1AnE7IyZHeuW+95UwDG6UqIjJSlpAaNHA6ElfRBA9Sldmpk9NRBFZCgswtb90KI0ZAkyZORySL1+PGBfawmNxceOqpCn3Ljz9Cy5bw3HNw3XWy+65fPw91R01Lk+2h33+vyV25Q3R0hf+OlSb4Ij16FLVd9ZqEBGnmc9ttsuYeStq2lQNM/N2RKi5O7vOOO2ToXQ5bt0oiL/xVmDJF2uVXr+7f0By1cyd07ChFlDotr9wgIkIakjVt6nQkrqMJvtCZZ3pzmj4+Xk5buuwypyMp25AhUgfhj1ahCQnyJuaBB+SAk+eek85kh5CfL4m8eXP46is5fXLuXClR8JR16+QN1bJlui1UuUdsLAwb5nQUruTBjFZJLVsGpvmKk6KioFkzeOklpyM5NGPkwI1mzaSFbWUkJso03kMPSZ/Ycs5ULFkCAwfKmTdnnilL0s2aVS6EkLZgAXTpAnv2+GVngVJBc+qp0tdCVZiO4AtFRkpFlZckJcH48e4o+T7iCCmGq+h6fGKi9AZ/9lnZ5nf//eVK7pmZUpDbpo1Uxr/3Hkya5NHkPnWq1Jjs2qXJXblLQoIU46pK0QRfXI8e3jlbOD5eWq4Fcq+5v51yigyha9U6fJJOSpKf7eWXZSp+8OBy11BMmiSJ/emnZeVi6VIppvNMEV1xX38tJ8Jp73PlRq1bQ4cOTkfhWprgi+vSxRuFdgkJ0ma2SxenI6m4q6+WHrBjxsiceeERoIWSkuTs75EjZU35hhvK/aZs505J5GedJcX1P/8sB3tV5qRbVxgxQhqDaDGdcqPERB29+0gTfHEnneT+4qPYWOnI4mODF0dFRkLPnvD777JIfvvtcl5A8+aSkf/9V8rdy9lG11o5g6bw2x98UJakzz03sD+GY6yFRx6Be+/V5K7c67jjtI24j4x1QQe39u3b21mzZgXnwU46qeioSDeqUwcWL5Y1bS+xtlJz6P/+K2fP/PKL7A4bOVLO0fGsvDxpZDR2rO5xV+6VlCSzeD17Oh2Jo4wxs621lS4O0xF8ST16BO6AlUBLSJA9315L7lDh5J6TI7N7LVvKme2vvw7Tpnk8uWdmyul/mtyV2x19tLwWK58EJMEbY54zxiw1xsw3xnxtjDmi4PpGxpgMY8zcgsubgXh8n3Tt6s6DZxIS4LXXAnZEqpvMmAHt2kkZQq9eMss/aJBzHXmDYs8e2bj/+++a3JW7JSXJu3NPVr0GV6Be8iYCLa21rYHlQPHz/f611iYXXG4J0ONXXseO7lu3jI+HSy6RCrIwtnevJPLOneXj776DL75w10aCStm0SZaW5s93fw2JUkceKWcyK58FJMFba3+21uYWfPonUC8QjxMQiYnQuLHTUZRfRIQcwDBypNOROMZaSeQnnCC77O64Q/a2X3CB05EFwbJl0p1u7Vo5QU8pN0tKgv/8x+PTbcETjP/F64HizcCPNcb8Y4yZbIwJzWag553nnumhxERZd/fC9r5KWLcOLrwQLr1Ulu3++guGD5eie8/7+2/ZI7x9u/e6MKrwlJAAV17pdBSeUekEb4z5xRizsJRL72JfMxTIBT4puGoz0MBa2xa4G/jUGFO1jPsfaIyZZYyZtX379sqGWTnnnOOODBEfLy1ePXOGafnl5koiP/FE+O03eOEFyXdea0ZYpgkTpF4kJUWmMJRyu8REeOIJb54J4pBK/09aa8851O3GmAHA+cDZtmAvnrU2C8gq+Hi2MeZfoClw0B44a+1IYCTINrnKxlkpnTuH/lpmQoIc0tKrl9ORBN2cOXDTTfJvz55SId+okdNRBdGoUVJs4LZaEaUOJSYGrr/e6Sg8JVBV9N2B+4ELrbXpxa6vaYyJLPj4OKAJsCoQMfikenXZTx6qoqMhOTnsTlhKTYV77oGTTy5qdjduXJgl9//+V5O78p6EBGnOFRvrdCSeEqg1+NeAKsDEEtvhzgDmG2PmAl8At1hrdwUoBt+cfbbTEZStalX49lv37tevhPHjoUULePFFGb0vWSJ95N1SKuGz/Hzpt/+f/2hyV94TGSkdqZRfBWSxw1p7fBnXfwl8GYjH9LvzzoPPP4d9+0q/PTpafilzc+USLPHxMmytUSN4j+mgzZulKv7zz2W9/Y8/ZAUlrGRnS2veH3/UPe7Ke+Ljpa2yG/uPhDjdi1CW008vfdtRYqJcbrlFWsKecELwYkpIkGNRO3YM3mM6JD8f3nxT/nu/+04Grv/8E4bJfd8+OR3nhx80uStvioiQd/HK77RcsSx160K1arBtm3yemCjHjj34IFx1lSRbCN5Z63FxMqswZEhwHs9BCxfCzTfD9OmS2958E5o0cToqB2zbJicCrloFWVlOR6OU/8XFwW23yWut8jsdwR/KWWfJu8sePWRb0r//wsCBRckdgnN+vDGyyfvjjz296JyRIXU2bdtK/5YPPpBDYsIyua9eLf12V6zQ5K68yxi47z6no/AsHcEfyqhRssH6UL1Og1H1mZAg668eXqP69VdZ9Vi5Eq69Fp5/PmzKDA42d668udy7V9YqlPKiwm1xYfuHHng6gj+U2NjDNzIPdIJPSID334dmzQL7OA7Zvh2uuUZ6C4Ek+lGjwvhvftIkOO002L1bk7vytogIORFKBYwmeF8Fcoo+IQEGDJA+rB6QnZdNj4970OPjHuzLSqX1zS9wzHF7+ewzyyOPwIIFMnANW2PGSOOitDSnI1EqsKKi4IorwuAkKGdpgvdVoHrAR0VB06bw0kuBuX8H9B7dm8lrJ/Pr90dRre42Foy8h7zqi+jw1C08/XTYttMXL78spwHqHncVDqKi4LHHnI7C83QN3leBmqJPSpLuLsGq0g+SnBm3kDv+BfkkIpuo84ZSpV4YZ3Zr4YEHpN+uJncVDiIj5ajHMDxDI9h0BO+rQAw74+Ph6689N331+WWfE5lZA7CAAWsw67vwxWVfOB2aM3JzZcvl66/rHncVPqKj4emnnY4iLGiC95W/E3xhT+YuXfx7vyHg0rGXYhv/DFGZYHIgMgfbcBJ9x/Z1OrTgS0+X7ZfffKPJXYUPY6TQxqNFw6FGp+h95c8EHxsrrdo8XFka2eBvYq7viVnbFdtwEpEN/gbOdDqs4Nq1S17kli0L/VMLlfKnuLiwOyTLSTqC95U/E3z16jB2rGeb2Xzb71vObHgmZ50ez47v7uGs0+M5s+GZfNvvW6dDC57166WBzeLFmtxV+OnQQU7CVEGhI3hfxcVJQrY+HlmfkCD9xo84wi9hhaKYyBh+uOqH/Z8X/zgsLF4MZ54pe9zz8pyORqngSkiQ445V0OgI3lcxMb4f25qQAK+9Bm3a+CcmFXqmT5dDgnbs0OSuwlOLFnDqqU5HEVY0wfsqJkY6MlVWfDxcconsgVbe9N13cO65ZR89rJTXJSbKSZgqqDTB+8qXBB8RAQ0bwsiR/o1JhY6335aOXVopr8JZo0bQtavTUYQdTfC+8iXBJybKuntYt3DzKGvhySfhzju1gY0Kb0lJMnr3aPFwKNMiO19FR1fuFzc+HkaPlne2ylvy8uRovNGjdeSuVO3acsaCCjpN8L6qzAg+IQGGDNFfei/KypKaikmTNLkrlZQEzzyjo3eHaIL3VUxMxX55o6NlH6g2e/CelBQ47zyYP1+n5ZUCqFZN3vAqR2iC91VFj4utVg2+/db3rXUqtGzZAmecAevWySheqXCXlAT/+Y++1jlIE7yvKjKCj4+HceOgRo3AxqSCa8UKSe47dsgBMkopeb3r39/pKMKaJnhflXcEX9jF6ZRTAhuPCq7MTGlgs3u3790MlfKKxER4/HHPHXftNrpNzlflSfBxcdCtmxTWKW/591/IydHkrlRx0dFwww1ORxH2NMH76nAJ3hg4+mj46COtJPWilSv1eVWquIQEORFT+3s4ThO8r2JiDj16S0iAH3+UKSvlPStW6KlwShUXGQmDBjkdhUITvO+io8tO8AkJ8P770KxZcGNSwbNwIWRnOx2FUqEhPh7uvlsHNCFCE7yvyhrBJyTAgAFw6aVBD0kF0aJFTkegVOiwFvr1czoKVUATvK9iYiA//8DroqKgaVN46SVHQlJBtGaN0xEoFTqMgZ9+cjoKVUATvK9KG8EnJcH48bpFxOuysmR7nFJKZGTAO+84HYUqoPvgfVVyBB8fD19/DXXrOheT1+XlSWLdufPgy7ZtsGkTbN0K27fDrl3Qty+88IL/41i9Wp7v1FT/37dSbrVihXR0bNDA6UjCniZ4XxVP8IXbQ7p0cTQk18nPl2K17duLEvWOHbB5s1y2b5fP9+yBfftklBATU3TQj7WS9LOzZU96SW+8IU03qlb1b9wrV2obTqVK89lncP/9TkcR9jTB+yomRpJLbCycdpokeFV+WVkywv7tN1nSyM+XJJ2Vdejth1lZ5e/5HhkpLzgDB/on5kIrV+oWOaVKysyEd9/VBB8CdA3eV4VJqXp1GDNGm55UxN69cPrp8OuvcrTq3r0yQs/M9G9nuLQ0ePll/91foYUL9WAZpUqzfr28AVaO0gTvK2OgTx/44Qc44gino3GPTZvgpJNg3rzgHK26ejUsXuzf+1y40L/3p5RX5OfD6NFORxH2NMH7w5dfQps2TkfhHkuWQHKybDELVpOYnBx4803/3ufq1f69P6W8IisL3nvvwOuC8UZeHUATvAquGTPk9LXt26V2IVhyc+GDD0ovwquM7GwpBlRKlW7bNpk1++gjOO44KUL+7TenoworWmRXHpmZsi1r164DL7t3S6LaskV+mWvWlNa0oboO/9JL8Mcf8OKLzmxh+fZbuPJKWW93grUwYQL07u37fa1dq1vklDqUnBwYNQqee04+j4nRtt1BFj4J3lop4CpMzMUTdeH+6a1b5d+dO+Vr9u2TF/DCKvmoqENvy4qNhf/9D2rXdu7nLMuGDVLhn5MjSW7IEHj0UWnKEwxvvik9qp2cptu3T4rt/JHgdYucUodWmOAjI+X1snVrOOYYp6MKK+5L8Lm5sh+6+Ci6eKLevFmS9I4d8vnevZCSIqPGyEh5FxkZKaPs/Hy5v+zsw08XlycxxcZKb/JQTPD33CN/cLm5cnn1VXj7bWkAc+218sYlEKyFRx6R2YNQWIObPl1+R+rU8e1+9BQ5pQ4vPV1eaxMT4dZbnY4m7LgjwS9cCLVqyQgsK0uSdHR00QgqL69o7/ShFO6xDpSsLFiwAM46K3CPURnz5sH330tiL5SRIZchQ2TW4Z13ZB+/P+Xmwg03wBdfODctX5IxMqp46CHf7mfRIt0ip9ThZGXJ60BkJFxyidPRhB13FNllZclad+H+6KwsmTrfu1cuqamh8WKblQWzZzsdxcEGDSp7tJmWBsuWQbdu0KuX/yrD09OhR4/QSu4g/w+vv+77PnvdIqfU4RUOKs46C6pVczaWMOSOBO8m//zjdAQH+vlnmDv38AktPV1OgWrRQqbzU1Iq/5i7dkGnTlLQF0rJvdDevVLN74tVq/wTi1JeV6UK9O/vdBRhSRO8v/37r3+7sPkiL0/WvcqbZPPyZNr+jTekyn7kyIpvZVu7Ftq2le0xobpGnZYmo/jKys2VGg+l1OGlpcG0aU5HEZY0wfubtVLEFQo++EB2BlRUZqaMcu++W7a1TJpUvu+bPx/atZOK/UDWOvjKWjnxr7Jb3Natk4JKpdThFXa1K37qpgqKgCV4Y8wTxpiNxpi5BZeexW57yBiz0hizzBjTLVAxOCImRgqwnJaeDvfdJ++eKystTWYkzj8fzjvv0L2lf/8dOneW6Xk3/CFHRsLnn1f8++bPhxtv9H88SnlZXp4s2amgCvQIfri1NrngMgHAGHMicAXQAugOvGGM8c6G4qys0CjAev55/21LS0+XDlStW8Ptt8vovrgxY6BnT3c1fUlNrdgBNHPnSiFix47yZsaXN05KhZu0NNm9ooLKiSn63sBn1tosa+1qYCXQwYE4AiMrC2bNcjaG7dtl65s/950Xrs+//basz7/xhqxFDx8O110XGnvcK2rZMli+/NBfM3euzF506gQTJ8rPGSo1Fkq5RX6+7KgpvlVXBVygE/xgY8x8Y8x7xpgjC647Blhf7Gs2FFznHXPnOvv4Dz8cuD+kzEypsL//fmkW88gj7kzuIG9a3n679Nv++acosf/yiyZ2pfyhvPU8yi98SvDGmF+MMQtLufQGRgCNgWRgM/BCBe97oDFmljFm1nZfgnTCqlXOJYPly+HjjwN/SltamlSSh+I2uPLKyZEGP8XfDP3zD5xzjtQTaGJXyn/27Tv4hDkVUD51srPWnlOerzPGvA2MK/h0I1C/2M31Cq4red8jgZEA7Y1x1yusMbBxI9SrF/zHvv324B3B6gV5edIr4OijpShxxoyihkpKKf/67jt5fYqJcTqSsBDIKvrizb4vBgorz74DrjDGxBpjjgWaAH8HKg5HOFVJP20aTJ3qjir2ULFvH/TrJ216J03SEbtSgRQZKW+oVVAEcg3+/4wxC4wx84GuwF0A1tpFwFhgMfAjcJu1NogHgwdBRkbwK+mtrVhTG1UkJUUTu1LBoNP0QRWww2astVcf4rZhwLBAPbbjsrNh5szgPuYXX2j7VKVU6PvhB3lDHR/vdCSep53sAmXevOA9Vna2rL3r3mylVKiLjoYJE5yOIixogg+U1auDN+X7+usy9aWUUqFu3z54912nowgLmuADJTIS1q8//Nf5as8eePxxHb0rpdzjt9/c1fnSpTTBB0pUVHAq6Z96KrQPdlFKqZKio+H7752OwvM0wQdKMCrp162DN98M3WNZlVKqNKmpZXeRVH6jCT5QcnICX0l/9906eldKudO0abLEqAJGE3wgBbKS/p9/pBJVD29QSrlRdDR8/bXTUXiaJvhAWrs2MF3lCpvauPWQF6WUSkuTsyBUwGiCD6TISFkn97cffwyNM+eVUsoXs2bJoVUqIDTBB1IgKunz8mDQIN0Wp5Ryv6go6cKpAkITfCClp/t/pP3ee7DddQfoKqXUwdLTtZo+gDTBB1JuLvztx4Py0tLg/vt19K6U8o5Fi2DzZqej8CRN8IE2f77/7ut//4OsLP/dn1JKOS0iAsaOdToKTzLWBUdktjfGznI6iMqKiZFq9wgf30tt3QrHHquV80op72nZEhYscDqKkGOMmW2tbV/Z79cRfKBFRcGaNb7fzwMPSIGdUkp5zcqVsq1Y+ZUm+EDzRyX90qUwZowcC6uUUl702WdOR+A5muADzR+V9IMHa3JXSnlXZqYeIRsAmuADzddK+ilTYMaMwHTEU0qpULF+vUzVK7/RBB8Mle1Jn58Pt9wiswBKKeVl+fnw6adOR+EpmuCDYcOGyhXIjRkTmFa3SikVarKzpZGX8htN8MEQEwOrVlXse7Ky4M47tamNUip8bN/u//beYUwTfDBERlb8l/aVVyA1NTDxKKVUKMrJgY8/djoKz9AEHwxpaRVr4rB7Nzz1lK69K6XCS04OfPCBHImtfKYJPhjy8ipWSf/44/KLrpRS4SYlBebOdToKT9AEHyzl3Qu/Zo2crqQ955VS4SgrCz780OkoPEETfLBs3Ch74g/nrrt09B7KqlaV7oRKqcDIzZV1eJ2m95km+GCJjYV//z3018yaBT/9pD3nQ1lkJAwbBpdeCs2bQ1wcxMdL4o+NdTo6pbwhMxP++svpKFxPhyLBEhEhlfTNmpV+u7Vw6616Wlyoy8yEXr3g/vvlc2vlLOvFi2HJEpgzB/75R7ZFZmVJ8s/J0YJJpSoiPV2K7Tp2dDoSV9MEHyyFlfR9+pR++/jxkiBUaMvJgTffhFdflc+Ngbp15XLOOQd+7c6d8pwuWSLdDOfMgeXLYe9eSEiQzl1paToVqVRJ+fly+Mxrr8msmaoUPQ8+mHr2lEReUm4uNG6sXevcokoVOdryyCMr9/2pqbBsmYz6FyyQpZlly2DrVhnxGyOJX88fUOEsKQnGjYMzz3Q6Esf4eh68juCDqaxK+nfekdGecoecHGjYEP7zHxg0qOJFd0lJcNJJcikuK0sO21iyRH5XZs2SZZ2NG6UbYmSkTF2Wp1hTKbdLS4NRo8I6wftKR/DBFBUlL9DR0UXXpaZCvXoybavcJTERjjoK3noLuncP3OPk5cn2ySVLZNQ/a5aM/NeskdF+dLS8OdCtlcprqlSBXbvCdueKjuDdJC5ORmgnnFB03X//q2e9u1Vamlz69oV27STRF39u/SUyUpZwGjeG888vut5a2LSpaJ1/9mxpEKIFfspLpk6Frl2djsKVNMEHU2ElfWES2LwZhg/Xynm3S0uDadMkyV91FTz7rIzsA80YOOYYuRyuwG/2bFixQgv8lLtYCzVqOB2Fa+kUfTBFRMAjj8CTT8rnV18tR8JqYxvviI2V6cQnn4QhQ2TtPJSUVuC3dCls26YFfir0VKkCe/bIa2cY8nWKXhN8sHXvDj/8ICP5k0/W0btXJSRIlf2IETKtbozTER1aYYHf4sXyu6kFfioU9OgBEyY4HYVjNMG7Tb16sH49dOkCU6boFKnXJSZCq1YwcqT86zbFC/wWLZKp/gULYPVqGVVpgZ8KlIQEeOEFuOUWpyNxjCZ4t4mKkr2dffpo8VO4MEYKLC+/HP7v/6BmTacj8l3xAr/Fi6WJjxb4KX9KSJCukE2bOh2JYzTBu01SkrzY79jhdCQq2GJi5A3eo4/KoUJe7V1fvMBv7lxJ/lrgpyrqyCPldynUl7cCSBO821SpUvQCp8JTQoIcTvPGG3DRReHzApaaKgV9S5ZogZ86vD594MsvnY7CUboP3m327XM6AuW09HS5XH21bJl8+21ITnY6qsBLSoL27eVSXFaWjPAL1/m1wE8lJUHv3k5H4Xo6glfKSYXr8336wPPPw9FHOx1R6Cgs8Fu8WC6zZ8P8+XKdFvh5W0yMLGNWqeJ0JI7SKXqlvCA6Wi4PPQT33itJX5WurAK/f/+VrpBa4Od+8fHw55/QurXTkThKE7xSXpKQINOTr74Kl14aPuvz/qIFft4QFydbMcN8RksTvFJelJgITZrISYMlT51TFVe8wG/+fJnuLyzwS0iQr9ECv9BgDFx8cdgX2IEmeKW8LT4eLrhAziyoW9fpaLynZIHfzJky7a8Ffs5JSIDff5dOn2EuJBO8MWYM0Kzg0yOAPdbaZGNMI2AJsKzgtj+ttYdtU6QJXoW16GjZP3/fffDgg5L0VWDl5ckUceE6vxb4BU+LFrBwodNRhISQTPAHPIAxLwB7rbVPFST4cdbalhW5D03wSiGJPTERXn4Z+vXT9XknFBb4LV4syV8L/PwrKUmOXb7ySqcjCQkhneCNMQZYB5xlrV2hCV4pP0hMhOOOk/3zp5zidDSq0I4dBx7RO2cOLF8OKSla4FdeRxwBW7eG3imMDgn1RjenA1uttSuKXXesMeYfIAV4xFo7tbRvNMYMBAYCNAhwkEq5SlqadILr2lVOJ3z5Zahf3+moVI0acPrpcimusMCv8IheLfArXVxcaB6x7GKVHsEbY34BStvDMNRa+23B14wAVlprXyj4PBZIstbuNMacBHwDtLDWphzqsXQEr1QZoqJkPfjOO2HoUBndK3coXuC3cKF08Fu8GDZskHMKwq3ALy5Oahxq13Y6kpARslP0xpgoYCNwkrV2Qxlf8ztwr7WHzt+a4JU6jPh4eYEcPlxa4EZEOB2RqqySBX6zZsnIv7DALyYGMjO9VeAXGwtPPCFFpGq/UE7w3YGHrLVnFruuJrDLWptnjDkOmAq0stbuOtR9aYJXqpwSE2W6/p13oHNnp6NR/mStbN8rXOf3UoFfmzbys6gDhPIa/BXA6BLXnQE8ZYzJAfKBWw6X3JVSFZCWJuu7554LZ50Fr70GjRo5HZXyB2OgXj25nHvugbeVLPCbPVum/91Q4JeUJEtMyu+00Y1SXlW4Pn/bbfDYY2F/cEdYKq3Ab8kS2L49dAr84uMlHq0fOUjITtH7kyZ4pXwQHy9rnM8/D9ddp+vzqqjAb/HioiN6nSjwi4iQPe8ffRTYx3EpTfBKqfJJTJR2t2+/DWeeefivV+GneIHfokUy4i9Z4Ld3r3ycmAj79vn2eImJ8Ouv2s+hDJrglVIVk5AAZ5wBr78uDXOUOpziBX6bN0OHDlIUN306/PGHXB8ZKXUCqanlv9/69WHtWu3KWAZN8EqpiouMlPX5m2+Gp56CqlWdjki5WX4+rFwpU/0zZsDUqbL2Hx0tt5eW9OPj4ckn5YwFVSpN8EqpyouLkzXXZ5+Fm26SxK+UP+TnS6veWbOKRvrLlxcl/ZwcWL8eatZ0Ns4QpgleKeW7xETpIDZyJJx9ttPRKK/Ky4NlyyTpJybCJZc4HVFI0wSvlPKfhAQ49VQYMQKaNHE6GqXCmq8JXvfLKKWKpKfDpEnQujUMHgx79jgdkVKqkjTBV0RUlHRdqlZN/lXKi/Lzpdf5u+9Cgwbw6qvhc+CJUh6iU/TFFSbtzEwpNqpeHWrVkq0cjRpBw4ZQp45c0tLgoov0iEflfYmJchTqW29Bt25OR6NU2AjlXvTuU6cOTJgg/x6ubWLPnrp3U4WHtDS59OkDJ58Mb74JzZs7HZVS6jB0ir64Jk3g+OMPn9xnzIDJk6UiVKlwkZ4u+5vbtYOBA2HnTqcjUkodgib44o499vBfYy3ccos7j2RUylf5+ZCRAR9+KMtWw4fLfmalVMjRBF8oOrp8Cf6rr+T8ZaXCWVaWdCd79FFpdzt+fGgeRapUGNMEXyguDo455tBfk5MDt98u65FKKflb2LABLr8cOneGhQudjkgpVUATfKGIiMMn+DfekJOUlFIHSkuDP/+UQ0iuv17O91ZKOUoTfKHcXDlKsyx798Jjj+noXamyWCvr8598Istd//d/kJ3tdFRKhS1N8IUyMw+d4J9+Wl+slCqP7Gx5I/zkk1KI9803uj6vlAM0wReKjZXjC0uzfr1Mz2dmBjcmpdwsPV3ODr/qKjjlFJg3z+mIlAormuAL1ahR9m333KNbgZSqrLQ0OT3s1FPh6qth61anI1IqLGiCL1TW9Py8eTBunPbiVsoXhevzY8fKtrphw3RGTKkA0wRfqGHD0q+/9VZ9IVLKX7KzZer+mWfkb+7zz3V9XqkA0QRf6PjjD77up59g/nx9AVLK39LTYds2uO46OOkkmD3b6YiU8hxN8CDFdfXqHXhdXp6M3nVbnFKBk5YG//wDp58OV1whRXlKKb/QBA/SprZkk5tRo2SEoZQKvIwMaQN9/PHwxBPyuVLKJ5rgCxVP8OnpcN99OnpXKphycuRv77nnoEEDGD1al8eU8oEmeJDCn+IJ/qOP5DANpVTwpafDjh1w002QnAx//+10REq5kiZ4kJFDzZpFn+/erQleKaelpUmRa5cucMklcqiNUqrcNMEDVKsmh80opUJPRgZ89x00bQpDh+rSmVLlpFkNoHZtpyNQSh1Kbq4k+uHDZX3+ww8hP9/pqJQKaZrg4eAtcsY4E4dS6tAyMmDXLhg0CFq2hOnTnY5IqZClCR7kaEullHukpcGSJXDuudC7N6xd63RESoUcTfBRUQcneGN0FK+UG6Snw/jxcMIJcP/9kJrqdERKhQxN8HFxB0/RK6XcIy9Ppu5few3q14f33tP1eaXQBA+RkWWfJKeUco+MDNizB26/XUb0U6Y4HZFSjtIEn5d3cJtanZ5Xyr3S0mD5cujRA3r2hNWrnY5IKUdogs/MPDjBx8TIyF4p5V7p6fDzz3DiiXDXXZCS4nRESgWVJvioKEhKOvC688/XUbxSXpCXJ2/i33xT9s+/9ZZcp1QY0ARfvfrB1zVuLO/6lVLekJkJe/fCPfdIR7zffnM6IqUCThN8nTqlX3/HHQeP7JVS7paWBqtWwQUXyB76FSucjkipgNEE37Bh6df37atTeUp5VXq6jOLbtIEhQ6T6XimP0QTfuHHp1yckwKWX6iE0SnlVfr5srXvnHXmj/9pr0vNeKY8I7+wVFyeFN2UZPBji44MXj1Iq+DIzpcL+wQfh+OOl8l4pDwjvBB8Tc/AWueLat4caNYIXj1LKOWlp0tP+4ovlDPqlS52OSCmfhHeCh0MneGOkK5aO4pUKH+npMHUqtGsHN98Mu3c7HZFSleJTgjfGXGqMWWSMyTfGtC9x20PGmJXGmGXGmG7Fru9ecN1KY8yDvjy+z3JyDp3gAa65RvtaKxVuCtfn338fnn/e6WiUqhRfR/ALgT7AAU2fjTEnAlcALYDuwBvGmEhjTCTwOtADOBHoV/C1zsjKgtq1D/01NWpA167BiUcpFVri46FzZ6ejUKpSfErw1tol1tplpdzUG/jMWptlrV0NrAQ6FFxWWmtXWWuzgc8KvtYZVapIJ7vDuf12+VqlVHjJyoKzznI6CqUqJVBr8McA64t9vqHgurKud0atWuX7uvPOg+jowMailAo9p50mu22UcqHDDl+NMb8AR5dy01Br7bf+D2n/4w4EBhZ8mmVkOcC/VqwIlZ7zNYAdTgcRQPrzuZuXf75D/2y//hoqrxGV5eXnDrz/8zXz5ZsPm+CttedU4n43AvWLfV6v4DoOcX3Jxx0JjAQwxsyy1rYv7eu8QH8+d9Ofz728/LOB/nxuZ4yZ5cv3B2qK/jvgCmNMrDHmWKAJ8DcwE2hijDnWGBODFOJ9F6AYlFJKqbBVjgqzshljLgZeBWoC440xc6213ay1i4wxY4HFQC5wm7U2r+B7BgM/AZHAe9baRT79BEoppZQ6iE8J3lr7NfB1GbcNA4aVcv0EYEIFH2pkxaNzFf353E1/Pvfy8s8G+vO5nU8/n7HW+isQpZRSSoUIbVWrlFJKeVDIJXjXt7+tAGPMGGPM3ILLGmPM3ILrGxljMord9qbDoVaKMeYJY8zGYj9Hz2K3lfpcuoUx5jljzFJjzHxjzNfGmCMKrvfEcwfu/bsqizGmvjFmkjFmccFrzB0F15f5e+o2Ba8jCwp+jlkF11U3xkw0xqwo+PdIp+OsKGNMs2LPz1xjTIox5k63P3fGmPeMMduMMQuLXVfq82XEKwV/j/ONMe0O+wDW2pC6ACcge/9+B9oXu/5EYB4QCxwL/IsU6kUWfHwcEFPwNSc6/XNU4ud+AXis4ONGwEKnY/LDz/QEcG8p15f6XDodbwV/tvOAqIKP/wf8z2PPnSf+rkr8THWAdgUfVwGWF/wulvp76sYLsAaoUeK6/wMeLPj4wcLfVbdeCn43twAN3f7cAWcA7Yq/ZpT1fAE9gR8AA3QE/jrc/YfcCN66vf1tJRhjDHAZMNrpWIKkrOfSNay1P1trcws+/RPp6eAlrv+7Kslau9laO6fg433AEpzspBk8vYEPCj7+ALjIuVD84mzgX2vtWqcD8ZW1dgqwq8TVZT1fvYEPrfgTOMIYU+dQ9x9yCf4Q3NH+tnJOB7Zaa1cUu+5YY8w/xpjJxpjTnQrMDwYXTCe9V2xq0AvPWXHXI++sC3nhufPac3QAY0wjoC3wV8FVpf2eupEFfjbGzDbSDRSgtrV2c8HHW4DDnLAV8q7gwMGQV567QmU9XxX+m3QkwRtjfjHGLCzl4uoRQmnK+bP248Bf2M1AA2ttW+Bu4FNjTNVgxl1eh/n5RgCNgWTkZ3rByVgrqjzPnTFmKNLr4ZOCq1zz3IUrY0wS8CVwp7U2BZf/npZwmrW2HXJi523GmDOK32hlrte1W6eMNEi7EPi84CovPXcH8fX58mkffGVZh9rfOuFwP6sxJgo5cvekYt+TBWQVfDzbGPMv0BTwqW1hIJT3uTTGvA2MK/j0UM9lyCjHczcAOB84u+AP0VXP3WG44jmqKGNMNJLcP7HWfgVgrd1a7Pbiv6euY63dWPDvNmPM18hSy1ZjTB1r7eaCKd1tjgbpmx7AnMLnzEvPXTFlPV8V/pt00xS9V9vfngMstdZuKLzCGFPTGBNZ8PFxyM+6yqH4Kq3E+tDFFB0YVNZz6RrGmO7A/cCF1tr0Ytd74rnD/X9XBymodXkXWGKtfbHY9WX9nrqKMSbRGFOl8GOkEHQh8rxdW/Bl1wIBOyQsCA6Y7fTKc1dCWc/Xd8A1BdX0HYG9xabyS+XICP5QTPi1vy25ngRSWfmUMSYHyAdusdaWLMRwg/8zxiQjU0xrgJsBDvVcushryC6AiZI3+NNaewseee6stbku/7sqTWfgamCBKdiSCjwM9Cvt99SFagNfF/w+RgGfWmt/NMbMBMYaY24A1iIFva5T8KblXA58fkp9jXELY8xooAtQwxizAXgceJbSn68JSCX9SiAduO6w918ws6iUUkopD3HTFL1SSimlykkTvFJKKeVBmuCVUkopD9IEr5RSSnmQJnillFLKgzTBK6WUUh6kCV4ppZTyIE3wSimllAf9PxJvzy6jVW+zAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "34.83061750362102\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc113e50>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc113550>]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "177.41547484529482\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccce3070>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccce26b0>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "456.6746001056997\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 5.402 12.6  ]\n",
+      " [10.796 25.2  ]\n",
+      " [16.206 37.8  ]\n",
+      " [21.592 50.4  ]\n",
+      " [27.    63.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "35161.11757008961\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [13.002 11.6  ]\n",
+      " [25.996 23.2  ]\n",
+      " [39.006 34.8  ]\n",
+      " [51.992 46.4  ]\n",
+      " [65.    58.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "341.3241178992573\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31d000>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04ceb0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04d090>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04c640>]\n",
+      "Counter exceeded\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAHiCAYAAAAEZd6CAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAB0fUlEQVR4nO3dd3gU5doG8PvNpu2G3rsUKQpCwIBSRBAVFBW7IhZsHPXYsKLoUc8RxYrtiOKxfjYUC4ii0ougUqUJCkrvNUB69vn+eDYQICG72Zmdnd37d11zJZndnXk3W5552/MaEQERERHFlgSnC0BERETWY4AnIiKKQQzwREREMYgBnoiIKAYxwBMREcUgBngiIqIYxABPRMdkjBlojJnldDmIKDQM8EQuZYzpZoyZbYzZa4zZZYz5yRjTMQrKNcoYs9IY4zfGDCzh9qbGmPHGmH3GmB3GmGcdKCZRzGOAJ3IhY0wlAOMBvAqgGoD6AJ4AkOtkuQJ+A3AbgAVH3mCMSQYwEcAUAHUANADwYURLRxQnGOCJ3KkFAIjIJyJSKCLZIvKjiCwuuoMx5gZjzO/GmN3GmB+MMccVu62VMWZioOa/0hhzebHbqhtjxhljMo0xvwJoFkrBROS/IjIZQE4JNw8EsElEXhSRAyKSU7zMRGQdBngid/oDQKEx5n1jzDnGmKrFbzTG9APwMICLAdQEMBPAJ4Hb0qC16I8B1AJwJYDXjTEnBh7+X2hwrgvghsBW/NjjjTFDylnuUwGsMcZMCDTPTzPGnFTOYxHRMTDAE7mQiGQC6AZAALwFYHug1l07cJdbADwtIr+LSAGApwCkB2rx5wFYIyLvikiBiCwE8AWAy4wxHgCXAPhXoIa9FMD7R5z7PBEZXs6iN4BeULwCoB6AbwGMDTTdE5GFGOCJXCoQvAeKSAMAbaAB86XAzccBeNkYs8cYswfALgAG2ld/HIBTim4L3D4A2ideE0AigPXFTrXWwmJnA5glIhNEJA/A8wCqAzjBwnMQERjgiWKCiKwA8B400AMaoP8hIlWKbV4RmR24bfoRt1UQkVsBbAdQAKBhscM3srCoi6GtDkRkMwZ4IhcKDJK71xjTIPB3QwD9AfwcuMsbAB4yxrQO3F7ZGHNZ4LbxAFoYY64xxiQFto7GmBNEpBDAlwAeN8b4Av3y14VYtmRjTCq0xSDJGJNqjCn6rvkQwKnGmDMD3QF3A9gB4Pdy/iuIqBQM8ETutA/AKQB+McYcgAb2pQDuBQAR+QrAMwA+NcZkBm47J3DbPgBnQ/vCNwHYErhvSuDYtwOoENj/HoB3i584MEDu4WOU7UdoU3wXAKMCv3cPnHslgKuhFyC7AfQDcEGguZ6ILGRE2FpGREQUa1iDJyIiikGWBHhjzDvGmG3GmKXF9lULJNL4M/CzamC/Mca8YoxZZYxZbIzpYEUZiIiI6BCravDvAehzxL4hACaLSHMAkwN/A9oP2DywDQIw0qIyEBERUYAlAV5EZkDn2RbXD4cSZLwP4MJi+z8Q9TOAKsaYulaUg4iIiJSdffC1RWRz4PctAIoybNXH4Uk0NgT2ERERkUUSI3ESERFjTEjD9Y0xg6BN+EhLSzu5VatWtpSNiKhEK1cCWVmA3w8kJAAtWwI+n9Olojgyf/78HSJSs7yPtzPAbzXG1BWRzYEm+G2B/RtxeJasBoF9hxGRUdA5tMjIyJB58+bZWFQiomIWLQK6dtXgDujPvXuBZcsAYxwtGsUPY0xYaaLtbKIfh0MZsK4DMLbY/msDo+lPBbC3WFM+EZHzqlc/FNyLJHM9HHIXq6bJfQJgDoCWxpgNxpgbAQwHcJYx5k8AZwb+BoDvAPwFYBV0FazbrCgDEZFl6tUDTj8dSEkBKlQAUlOBESNYeydXsaSJXkT6l3JTrxLuKwD+acV5iYhs4fEA338P7N4NfP01sGMH0K+f06UiCklEBtkREblS1arA9dc7XQqicmGqWiIiohjEAE9ERBSDGOCJiIhiEAM8ERFRDGKAJyIiikEM8ERERDGIAZ6IiCgGMcATERHFIAZ4IiKiGMQATxRp33wDzJ3rdCmIKMYxwBNF2gcfAH36AFu3Ol0SIophDPBEkdajB7BrF9C3L1BQ4Fw5cnKA004DfvrJuTIQkW0Y4Iki7dRT9efKlUBennPl+PRT4OefgSuv1GBPRDGFAZ4o0tLTgY8+ApYsAXw+Z8ogAjz9tLYg7NwJDB3qTDmIyDYM8ESR5vEAV10FNG7sXBnmzAE2btTfs7OBkSOBBQucKw8RWY7rwRPFo+HDgaysQ39nZ2PFhReir7cC8ssYFzDk/vtw2y2DbC4gEYWLAZ4o3mzaBEycqM30xazYuhV76lRCylmDS31o1sqfMPOnnxjgiVyAAZ4o3rz66lHBHQCQl4dEeJBco1GpD83duALAHtuKRkTWYR88UTzJzQVef11/lqSkwE9ErsQATxRPXn0VKCx0uhRE8WvuXOB//wPy820/FQM8Ubx45RXgX/8CDhxwuiRE8UkEuPhi4JZbgJYtdTaLjRjgieLB8OHAQw/plDgicsasWcDu3dqK9vffQK9ewOTJtp2OAZ4olokAjz4K/Oc/h0+LI6LIe/bZw1vQsrOBAQNsa1VjgCeKVSLAvfcCL77I4E7ktM2bdXrqkfbuBe67z5ZTMsATxSK/X/v53nyTwZ0oGowcWfL+nBzg/fd1XQiLMcATxZrCQuC664APP2RwJ4oG+fk6g6W06anZ2cAVV5R+ezkxwBPFkoIC4PLLgS+/ZHAnihbjxpW9NPSuXZYv3cxMdkSxIi8PuPBCYPp0BneiaDJ8OLB//7Hvk5enK01aiAGeKBbk5ADnnqv9eJwKRxQ9li8Hli0r+3716wPVqll6agZ4Irc7cAA480xg0SIN9HbLzbP/HESx4sUXtXZelrPPtvzUDPBEbpaZCfToobUEiwfolGre3Mich8jt9u0DPv647PTQFSsCvXtbfnoOsiNyq127gFNP1ea/SAV3ANi8BRg/PnLnI3KrDz4AjCn7frm5wGmnWX56BngiN9q2DejUCVi1KrjmPysVFug0vL17I3teIjcRAZ57LrgBr3XrAjVqWF4EBngit9m4EcjIANaujciKVCXKygLuuMOZcxO5wYwZwM6dwd33rLNsKQIDPJGbrF2rwX3TprLn1dopJwcYMwaYMsW5MhBFs2efLXtqHAB4vUCfPrYUgYPsiNzizz+BLl20793vd7o0Oh3vqquA1auBtDSnS0MUPTZtKn2VOJ8PSEjQC/STTtLR83372lIMBngiN1i2TAfh7NmjfXthyARQUq/g7iAfny2CLUV/7N0L3HYb8Mwz8Hg8qFmzZlhlI4oJr7+uAdzj0Yvf7Gygdm2gWzddIvbUU4ETTtDbbcQATxTtFi7UqXCZmZYcrm1iCrYawGOO7qGrULf5MR+bVL0+JnqScHxC4IvJD+DTMcDX3yD7QCZ+X74cLVq0sKScRK4lApxyiuan6NpVB8RWqRLxYhgJszYQCRkZGTJv3jyni0EUeZmZOsLWwtSz5yal4pczbkLFdOv6/Qr27cDu/7sLu7ZvRUpKimXHJYpnxpj5IpJR3sdzkB1RNPN6gcaNtc/OIjfk5yDhtx8sOx4AZK2YifMbHcfgThRFGOCJollSEjB2LJCaatkhzwVwYPsaFB4Itte9bOa3H3H9nyu0O4GIogIDPFG0O/544LXXdPStBXwA+iQkIGulNUtT5u/Zgvw9W3BGXp6uae3U3HwiOgwDPJEbDByoA3YsagK/Pj8XZpE1zfQ5v8/AxQCSAE3CM2yYJcclovAwwBO5gTHA++8DlStbcrizAeTs2oCCzB1hH0sW/4jrCgO19qwsTfCxfHnYxyWi8DDAE7lFlSrAV1/pwLswpQA43xhkrZgR1nHyd26A7N+F7sV35uRoU31ZK2gRka1sDfDGmJbGmEXFtkxjzN3GmMeNMRuL7T/XznIQxYwuXYB777WkP/76gjyY334M6xg5y6fhCvHjsHQdIsBff+k62ETkGFsDvIisFJF0EUkHcDI0gdZXgZtHFN0mIt/ZWQ6imPLYY0DLlmFnwToDQEHmNuTv2VLmfUsiIvAvmYRrC0vIiZ+VpeVcvTqsMhJR+UWyib4XgNUisjaC5ySKPYmJ2lSflgZUqlT+wwC4WATZy6eX6/H5O9YiKWcfTi3tDrm5QP/+YafWJaLyiWSAvxLAJ8X+vt0Ys9gY844xpuqRdzbGDDLGzDPGzNu+fXvkSknkBscdpyPWqx710QnJwMJ8YPHEcj02d+kU9C8sLP1LxO8HFi1iXzyRQyIS4I0xyQAuAPB5YNdIAM0ApAPYDOCFIx8jIqNEJENEMriABVEJVqwAwrz47QYAB3Yhf+f6kB4nIihYNgXX+stYsjY9XVsciCjiIlWDPwfAAhHZCgAislVECkXED+AtAJ0iVA6i2PHMM7pKVRg8AK4QP3KWhdZMn7dlFdLyctDhWHdKSgIuuCCc4hFRGCIV4PujWPO8MaZusdsuArA0QuUgig3btgHjx1vSv31tYQEKl05EKAtP5S+bgmsK8mGOdafUVE3OQ0SOsL3tzBiTBuAsAP8otvtZY0w6AAGw5ojbiKgsr79u2eC1UwEk5+xH/va/kVyraZn3F/Ejd9k0XCNl9K3n5wMnn2xJGYkodLYHeBE5AKD6Efuusfu8RDErPx94+WUdpW4BA+DqwgK8v2xqUAE+d+MKVC8sQJuy7piRoc30ROQIjn6h4Pz+OzBhArBvH7B7t2579+p65ZmZwIEDumVl6dSoV191usSxa8wYoKCMwW0hutpfiLeXToH0uAHGHLPhHQVLp+C6gjIuLlJS2P9O5DAGeArOddfpUqDBBJZffrG/PPHs6aeB/fstPWR7ABXyc5G35U+k1G1R6v3EX4icFTMwQPzHPmBSEtCrl6VlJKLQMBc9BadpU53XXBafD3jhqFmPZJX5823JDmcAXFuQh7ylU455v9z1y1BPBKVfAgT4/UC7dlYVj4jKgQGegvPQQ2UvVZqQoLnSTzstMmWKR8OHhz01rjRXix95y6dBjlE7L1gyCdfn5ZR9sFNPDTuVLhGFhwGegtOuHXDCCce+T3Jy1Pa95xXm4ZwPz8E5H56D/Xn7D/6eV5jndNGCZ+HUuJK0BlDDX4jcjb+XeLsUFiDrj9nojzLOn5oK9OtnfQGJKCQM8BS8Rx8FKlQo+bbkZF0itFWryJYpSP0+6Yfpa6djysxs1LjgBUyZmY3pa6ej3ycuCkQjR9p+ioH5uSgopZk+Z+1vaGoMGpd1EI8HOOMMq4tGRCFigKfgnX9+6cuUejyaWS2KFa45BXn/+xG5Pw5F3jvfoXCdixIoFk2NywmieTwMV4kf2b/PhPiPnuNeuHgibgimeT4hAWjd2obSEVEoGOApeB4PMGTI0UE+NVXXKK9d25lyBeHzyz8HVp8L+JMASQQKk2DW9sSYy8c4XbTgfPGFBnmbNQfQAIKcdUsO2y8F+Tiwei6uKKt5HgC6dQPKmGpHRPZjgKfQ3H03MHo0cPvtQPfuQIMGOqBqyBCnS3ZMl312GdD8WyAhECSNH3LcVFz62aXOFixYNkyNK80NeTkoXDL5sH3Zf8/HiQkJqF/Wg30+zn8nihKcB0+hMQY47zzdXMbT6Fck39Ab+WPeg2RVQUL1v6BDy6LcggXAqlURO92VEDzx5xykFRbAePQrQhZPxI15QY7eZ/87UVRgDZ7iwtj+Y3H6cafjjNNT8eu0GjCFPlSb8Q7G9h/rdNHK9swztve9F3ccgGbGIGfNIgCAPy8H+/5egKDaOlJSgObNbSwdEQWLAZ7iQrInGROunoAJV09ARrs0PDwkCZt+OhMzpyU7XbRj274dGDcuuCRDFroxLweFSyYCALJXz0UHTyJqBfPAHj3Y/04UJRjgKS4NHQocfzxwyy225Y2xRgSmxpXkcggOrJ4LKcgDFv+IG4Jpnk9L05kWRBQVGOApLnm9wBtvaNf2U085XZpS5OcDL70U0eb5IvUAtE7w4MCKWdi3fikuDuZBhYVAz542l4yIgsUAT3GrVy/gmmu0i3v5cqdLU4Ivv4zI1LjS3JiXjb2TR6FLggfVgnlAxYpA48Y2l4qIgsUAT3HthRc0Lv3jHxHv5i5bBKfGleRSAP6c/bghP8gWBK4eRxRVGOAprtWsCTz3HDBrFvDOO06XppiFC4E//3S0CDUBLAaCGz1foYIrp04SxTIGeIp711+vOXvuvx/YutXp0gREeGpcaVoDSA3mjvn57H8nijIM8BT3jAHefBM4cAC45x6nSwOdGjd2bBT2GRxD9epAvXpOl4KIimGAJ4IugvfQQ8DHHwM//uhwYd54w+EClMPZZztdAiI6AgM8UcBDDwEtWgC33urg3PiCAsemxpVbxYrAuec6XQoiOgJz0RMFpKZq5fmMM4AnnwSGDXOgEF99BeTlOXDiMOTmagY7Kr/sbG0+evttoEYNoE0bTfnbrBnQtKl2fySwPkahYYAnKqZnT+C663SM24EDwBVXAJ07R7AATz3l6NS4cqlbV6cjUOjWrNEWm7ffBkT0TQcA48frynyJiTqAMS8PqFULaNIEOOEE4MQTDwX/Jk00iyDRERjgiY5wxRXA++8DL78MjBoFTJ4coSC/aBHwxx8ROJGFjAH69HG6FO4iAkyaBAwfDsyerRkAj0xoVDzYF9m0SbeffgKSk7XJSURr/z6fLt3cogVw0kmah7lpU93q1tXXye8HZs4E5szRC4S+fQGPJ3LPmyKOAZ7oCPPmHfo9Lw+YNi1CAT5KpsaFpGJF4JxznC6FO+zbB7z7riZe2LMnvJaavLzDu3IyMzUd4/LlOgMjLU2Dd16ejuuoXVsvGAoK9ILA69ULhHvuAQYNAqoFlauQXMaIiNNlKFNGRobMK/6tS2QTvx846yxgyhTt8kxJiVANfscOoGFD9wX4pCRNHlC1qtMliV4rVwLPPw989JHWpLOynC7RIV6vtgIcfzzQsqX2/RfV/ps1024Brg7oGGPMfBHJKO/jWYMnKmboUA3u//wnUL++jh2LSO3djVPjAM09z+BeMhHtvpg5U2vShYVOl+hoRdNFli7V7csvtfafkHCozHXrasBv3VrnkxYF/8aN9QqYohYDPFHAqFHaLXrLLcCrr0aw4uLGqXGABgE2z5du2TLNgRzV6xEfQeToroN163SbNk2b9ZOTtakrOxuoVAlo1OhQ7b9ZM93atOHAvyjAAE8E4Pvvgdtu03gV0eAOaJ9pbm4ET2iRChXcN8Buzx5g3DhdRtDuF/nbb6Oz1h6OnJzDL0R379btt9+AMWM0qBuj740FC7TvnxzDiZUU9377DbjsMh18PHq0zkyKqGHD3Dc1DtAaXLduTpciNCNH6jzIjz6y/1yffebOC7fy8vt1IGFmJrBtmy7wkJnpdKniGgM8xbUNG3S2UOXKOvW4YsUIF+C334AVKyJ8Uos0b+7APywMhYXAiy/q77ffrrV5u+zbp33a8aqgAFi7FjjzTPd1PcUQBniKW/v26QqnmZnAd9/poLqIe/ZZd9byPB69MnKTb745FGxycoD77rPvXJMna391PMvNBZYsAS68MPa6KlyCAZ7iUkEBcPnlWsn6/HOgbVsHCrFzp45adtOqcUXS0oDevZ0uRWiKZwnMzdXUsHPn2nOuL75g8zSgF1IzZ+qazC6Ykh1rGOAp7ojoNLjvv9cuWcfi1JtvOnRiC+TkAF26OF2K4C1bdnSTeXY2cPXV1tcuRbRJiFRWll7wPPCA0yWJOwzwFHeee06nxA0ZAtx8s0OFKCjQ/mC39k+eeKImSXGL554reRGfjRt12oSVli1zZ7eLnbKygNdf14Q/FDEM8BRXPvsMePBBzTfvyGpxRcaNc28QSEwEzj/f6VIEb88enR5RUk39wAHNbmRldrlvv9ULODpcVhbwr38BH3zgdEniBgM8xY3Zs4FrrwW6dgXee8/h1TfdOjUO0IVNzjrL6VIE73//O/aLbYym27VKvE2PC0V2tmaS+vZbp0sSFxjgKS6sWgVccIEm3fr6a4cHOC9e7N6pcYB2K3Tq5HQpguP3Ay+8cOwausdj3ZS5zMz4nh4XjOxsHeE6Z47TJYl5DPAU83bsOJRR9bvvgBo1nC2PK1eNK659e/fkIJ8woeyWEmM0G5sVJk92z//GSVlZOrp12TKnSxLTGOAppk2bBmRkaM6NsWN1oSxHuXlqHKB5yN3U/158alxpRKyrwX/5pSZYoLLt26fZ7taudbokMYsBnmLWnDnA2Wcf+v5wtM+9iJunxgFaOz3zTKdLEZyVK4GFC8u+X0GBNTV4To8L3Z49Oihm+3anSxKTouErj8gW06YdqigXFOjfjiooAEaMcHfzfH4+cPLJTpciOC+8oOUtS16eNTV4To8Lnd+vAxy7d2fLhw0Y4Clm9eihLcrGaOWqaVOHC1Q8VapbdezowGo85bBvH/Dhh8FNVyso0IEa4Ro/ntPjyqOgAPj7b21u4wWSpRjgKWZ17qxjnh56SFuWx41zuEBunhoH6D/xggucLkVw3n03tOVgt20L/5ycHld+ubm68NLFFzNvvYUY4Cmmde6scfWuu4BPPgGWL3eoIEuWOHhyiyQlAb16OV2Ksvn9uohPKMlrwu0DzszkiPBwZWdrP9qNNzJvvUVsD/DGmDXGmCXGmEXGmHmBfdWMMRONMX8Gfla1uxzkEvv32zLC/P77dX2Uxx+3/NDBceuqccX5/UC7dk6XomyTJgF794b2mJ07wzsnV4+zRlaWrv708MNOlyQmRKoG31NE0kUkI/D3EACTRaQ5gMmBvynejR4NVKmitUSLm7Jr1ADuvlu/O377zdJDl23XLmDMGPdOjSvSpUuUTEUoQzBT44rz+cJfOOfLL7l6nFWysoBXXtEBqRQWpz6t/QC8H/j9fQAXOlQOiibvv6/9b3Pm6EjtTZssPfw99wCVKwOPPWbpYcv25puh9QdHI6/XHf3vf/0F/PJL8Pf3eoEnn9QWlvISYepVq2Vl6RoBH33kdElcLRIBXgD8aIyZb4wZFNhXW0Q2B37fAqB2BMpB0UxEk8UD2pT9119AerqlaT+rVgXuvVcT3sybZ9lhj62wUFeNy86O0Alt4PXq6PmbbnK6JGV78cXgBmkZA1SsqG+GwYPDuwBburTkleooPNnZutzj9987XRLXikSA7yYiHQCcA+CfxpjuxW8UEYFeBBzGGDPIGDPPGDNvO5MgxL7Vqw+fs1xQoAOfOnfWPlWL3HUXUK2aLmoVEW6fGuf1At26AT/+GP3Lw+7fr6sIlTX3PSUFaNAAmD/fmkVzuHqcfbKzgUsuCa1Vhg6yPcCLyMbAz20AvgLQCcBWY0xdAAj8PGqOioiMEpEMEcmoWbOm3cUkp82YUXItav9+bRp+5x1LTlOpEvDAA5qiPCJrXdxyi3unxvl8QM+eGsDckF89mGVIfT7g1FN1VkPz5tacl9Pj7JWVpXPk3T4LxQG2BnhjTJoxpmLR7wDOBrAUwDgA1wXudh2AsXaWg1zg++91be6SZGcDd9yhI2stmD7zz38CNWtGoBa/dKl1Oc4jzefTxUDGjtXpcdFORPvRS3sPAfqcbr5ZR7xXrmzNeTk9LjIyM4ELL+T0uRDZXYOvDWCWMeY3AL8C+FZEvgcwHMBZxpg/AZwZ+Jvi2fTpx749Kwt4+WXgiivC7u+sUAEYMkRb/mfMCOtQx/bss+5suvX5dEGZzz93R9Y6AJg69dhT3bxe4PXXgZde0uVhrTJpkjtaN2LBmjWcqRAiWwO8iPwlIu0CW2sRGRbYv1NEeolIcxE5U0R22VkOikK//AIMGqRX5Bs3BvfBzcrSdKDdu4ddM771VqBuXeDRR22qFOzapQHSbVm5fD7gssuAjz+2NhDa7emnS+4K8Xh0dOXUqcB11x19e7i++II51CPB5wP+/e/QWl62bdOm/aFDgSlT3D3QtZxcMKmVYs6kSRqkN23SfveZM4NvBs7O1hXC0tPDWmbS69UW/xkzdHC45f3xo0a5b2qczwdcfbWmeXXDfPcia9cCs2YdvT81FWjRQvvbTznF+vOK6GAOspfHA5x4omarCsXevZoZ75lngIsu0ouDk07SQTg//ujesTGhEJGo304++WShGPHVVyKpqSKAyK+/6r7rr9e/Q9kSEkSqVBGZN6/cRZk2TcQYPZzXKzJ7tjVPUQoKRGrUCP05ObElJYlUqCBSsaLIQw+J+P0W/RMi6O679XkUf14+n0i/fiJZWfadd/FikbQ051/DWN/S0kTWrAn99SkoOPp9Aeh3R6VKelurViKDB4t8+63I3r3Wv0fCBGCeSPljp4su08n13n8fuOoqnTbWvr3OrQZ00FOo/H5tpj/9dJ2KVg5F0+4B7da3bDnZaJ8aV7GiLrPXti3wyCP6xPfs0Qxwbmt1yM4G/ve/w6fGeb06yOKrr+yd2sfV4+yXlga8+ipw3HGhP9bj0emQR/L7tUswPx9YsULHZfTvr+kumzfXAb3jxgG7d4ddfMeFc3UQqY01+BgwYoRWkwGtMX7zje7fsUMkOTm8K3yvV+Tll0Mu0uzZhxoTPB4La/AdOzpf6ym+paZqjbZGDZFrrxX58kuRPXsserIOe+utw2vRaWkiY8dG5tzp6c6/trG8JSWJ9OkTXqtSv36hn9eYQzX8xo1FBg0SGTNGZNs2y946wUKYNfhyPzCSGwO8i/n9Io89pgGm6APUoIFIYaHePnasfpjC/TLw+UTuuOPQcYM0e7ZIhw4aAy1poVuy5NCFjFNbURNkcrJI1656cbVihTub34/F7xdp2vRQMKhTR2Tp0sice+/e8C9MuR17q1JFZPv28F6np54SSUwMvywVK+rr3bChdil++qnI5s3WvJeOIdwA75I5MORKIsCdd2qSmqKlO9PSdAJ60SCuSZOsGYWclQW8/bZmxBszJuim2c6dNVV8x46aJ+X228Msx3PPOZe2NDlZ/6833gj06wecdlpsr3A2a5bOwPB6dfDUd98B1atH5txF0+OYotYePh/w4YfabB6ONm30WOFOryv6jlq/Xgehjhmjr321aro4Vp8+2l1YUpeAk8K5OojUxhq8CxUUiAwYcHjNHRCpXFkkO/vQ/Vq2tPaqPzVVpG3bkJvTOnYUOeGEMCu5u3YdavN3YktI0O6P6tVF7rxTZP782Ku1F3fuufq8b7xRJC8vsue+6irnXudY31JTRa67zprXafXqo7+D7NgqVNBy16olcsUVIu+9J/L332EXH2yip6iTmyvSt+/RH6zUVJHHHz90v337Sh7lGu6WlCRSr57IH38EXeR339WHTp0axvMePtz55vmiLTFR+6Pr1xcZOlSb6GNJQYFIixYi//1v5M/t94tUrer8axyrW926Ivv3W/NaFRba8x1T1lahgn4XVK8uctFFOlbkjz9CvuAON8AbPUZ0y8jIkHkRW/6LwpKVpc1VP/98aGRzWpqOaBXRbFTVqun+iROBSy+1JztV0Wph330HdO1a5t2zs7V17YwzND9NyAoLNXNONC6MlJys///69XXS/1VXAQ0bOl2q8Pn9zszXX7xY148/VlpcKh+vV5PSnHqqdcds3hxYtcq645WHz6c/k5N18aZzzwV69ABatTrmzBVjzHwRySjvaTlNjqw1ejTw00+a7L1nT+C++4D//lcTS2zYcCi4A5pdzK4vSRG9cDj7bODTT8u8u9cL3HCDzqwq1zL048dHb6asvDwt26pVwOOP6xdeu3aaMMjNnErG8+23Za9YR6Hz+XTMjpXBHdD3utOysnTbs0e/K+69Vwf+VK6sFaJXX9WETH6/tecNp/ofqY1N9C6Sn69N9MGI1DQjr1fkySfLbB5btUpnyBTvRQhap06RbwYMZ/N4RJ55phxPlDg9zobNGE06Y8dYimeecaaZPpTN69Vm/bQ0kTPOEHnxRZEFCwRMdENRJTFRm6HKkpsbueUfs7M1icsNNxwzMUmzZnox/eabIVbQli3Tq2838fmAxo2dLoX77N3LZUvt4PVq85kdKxe2aWNvwiMrZGdr6twDB7SL4uGHNZ13mBjgyRnz5kV2CldWlq7bfeaZx8xBfdttwObNukpq0JycGldexjDAlwdXj7NeWhowbJj2R9uhdWv3dank5FiSK58BnpwxfXrk+6yzsnTw38knl9rRfs45mhXz9deDPObu3TruwG2rxuXllS/9Z7z78kuuHmelxETtI7/zTvvO0aiR9X3bLsEAT8747jtnrqpzczUZTrt2wNKlR93s8ehSslOnBtkS+9Zb+jwqVdKuiRYt3LGGughQq5bTpXAXEa4eZzWvV1vW7BwwaQzQpIl9x49iDPAUeYWFwPz5zp5/xw4drTtx4lE333CDxuqRI4M4Vr16wIABupDO9u268EnRlJho5PPpFLkffnDfwjJOW7LEfV0x0czn0wEv9evbf65oGEnvAAZ4irzFi+0ZTBOqAwc0pevbbx+2u2ZN4PLLNcPu44+XsVb81VdrcL/wQq3FL1sWnf19Ho9+oQ4ZotPlTj/d6RK5D6fHWSc5Waew9u8fmfN17Bjc4N8YwwBPkTd9evR8UWZna//fQw9pE2xA9+7aZf/EEzqd/5hBvriiJXCjiderOdqnTwcefTQuv+gsMXo0a/BWqVhRr6AjxQ0j6W3AAE+RN2FCdK2XnpUFvPKKVtsDX+Dbtx9qwc7NBS67TL+PyszLc/LJwMCB0bXIS3a2/r+7dtV0fddeC3z0EbBundMlc4+9e4Hff3e6FLHB59PkU1WrRu6crVvH5cUZAzxFlkgI1eEIysrSJtjTTgP27EHPnhqjPR7tTUhK0kXa6tUD7rijxPF5hzz7LFChQsSKHpTMTP2C27gR+L//A265BWjZUvsjLrlExw6sXHlYKwYVw+lx1vB6gWuu0emqkVS/vvve2xaM5WGAp8j644/onbKSnQ0sWgSkp6Nz3TWYPBn4z3+0Zfuvv4CZM4HzzwdGjdLVSbt10xUtp00Dnn662HVLhQrAe+9F92C7/fu1Vr9jh079uusubX0oSp35yiv6v3Db9D+7cHqcNWrWBEaMiPx5jQGaNo38ecvL59OkHOEKJw1epDamqo0ho0ZFZvnGcLaEBJEqVUTmzi3xKWzfLvL88yLNmx96iDGabXL27GJ3PP/8yKXITE3VQli1XG1q6qEVsbp1E3nqKX1ywaYhjiV+v74fnH5fun3zenUJY6cMGOD8/yDY/9OLL4qICJiqllzl+++1OTya+f26KESPHsC4cUfdXKOGrhWxYoU22wP6yczN1dr8QaNGRaZZ1+sFrr8eWL9em9utaDkoyqSVnQ3MmqXTCXr31sFRGRk6WG/KlOh/La2weHH0DAp1K58PeOABoEMH58qQkRH93Sxer+bWGDzYmuOFc3UQqY01+BhSo4bzV8ihXk2/9FKpT2f27ENLwCckiPz00xF3ePNNXUDCjrKlpYmcdJLIwoWHn/Prr0UqV7a39cDjEalUSc9x4okigweLjB8vsnu3xW+YKDBsmEhysvPvRbduCQkibdvqQlROmjhRPxdO/z9K29LSRL7//rAigzV4co116yzJrxxR2dm68MMdd5Q4dqBzZ2DyZO2b9/tLGKh7881A27aab9sqyclakx4x4uCYgcP066cD5k47zb5xAIWFOnAvP19T/r38sq4zX6uWrtrzj38AY8YAW7fac/5I+uyzuByBbZnUVOCLL5zP8NimjTazRSNjdI34rCzNpWHVLKNwrg4itcVtDd7vF1m7VmTfPqdLYo0PP9R+XaevlMuz+Xwi55wjkpVV4lPLyhKpU0ekZ88SbszPF3n9de3HLarul3fzerUvcfv2sv/ffr/IG29o2RMSIv8/q1hRJCVFpF49kauuEvngA5E1a8J7D0Xanj2svYezpaWJjBzp9Kuo/P7oHv+TmKitYhUragtZjRqCMGvwRkSsuVKwUUZGhsybN8/pYkTe668Dd9+tL39CAlClitaQ6tXTBRQaNwbq1gXq1Dn0s2ZN56+US3PddcAHHzhdivJLTQWaN9cqe82aR908YgRwzz3aZd21awmP379fh9uPGKHL1obSr5uWpq/xBx9os0EoVq8GLr5YM9g52WdeoYLW/L1ebV045xzNqNeyZfSmzf3iCx3fwBH0oUtM1Nd58uToeX3btdMxFS5hgPkiklHuxzPAR6msLJ27uWdP6fdJSNCgUxTQ8/O1CapCBaBaNaB2bU1s0qSJ/ix+IVCnjjbzRvKD17AhsGFD5M5nh6QkHWU3bZouLFNMVpZec3XooGMJS7V5M/Dgg9qEnZt77GmDSUnaJP+f/2g3QXkv3goKdEnOZ56J/Cp+pfH59P2XkACccgrQt68G/LZtNQFBNOjfX5OyUOgqVdKuojp1nC7JIQMHamppl2CAj1VPPw08+aR1Na7kZB1BmpCgtaiivqiqVTVgHdkqUPxCoHbt8FsFtm/Xi4xY6Ms0Ri+Ovv1WJ8MX88wzmu79l1+ATp3KOM7y5cDtt+udS3qdfT7grLO0JadePWvKvmABcNFF+npES6Avkpqq789q1XS8htO1PhEty7EusqlkPp8mVLr4YqdLcrjXXgPuvz+6MmkeQ7gBvtxt+5Hc4q4Pfu9e5/qqjdF+qkqVdPN6tT/oqOHhIfrySz2e0/1cVm4+n8jHHx/2NDMzRapVEznvvBD+N1OnirRqdWi0vc8n0qCByKRJ4f3PS5OVJfKPf4Q/HsCu/+m//23P8w7VokX2zYCI5S0lReTKK51+9Uo2daqrvofAUfQx6JlntEnVCSJam8zM1C07W5uJf/stvONOnBh7/ZhZWToR/skn9f8GrdgPHgyMHw8sXBjkcXr00JGzb72lzf4PPqj95b162VNurxd44w2d41+tWvQsPuPzaUa9Rx91uiSKq8eVT+XKugxsNGrdOnpH0tshnKuDSG1xVYPfvj06R3o+9FB4z+v4451/DnZtPp/IwIEH5/nu2aPTbS+6KPy3g+127RK54ALn33M+n8hdd+lI52jRrp3z7y23bV6vyIwZTr9yx+aimTxgDT7G/Pvf0Zn/+6+/yv/YzExg7VrryhJtsrJ0rvSZZwL79qFyZa2IfvUVsGSJ04UrQ9WqwNixmnWvQgVnBrf5fMDVV+vsAqf73Yvs2cPV40Ll9QKDBunI+WjWvLnTJYgYBvhosnGjruoVjU1I4SwtOmdO7K/FnJUF/PyzpsPctAl33aXxctgwpwsWpAEDdNBfx47WJuUpi8+n6XXfeCN6gjvA1ePKo1497V6Mdk6my40wBvhoMnSoc33vZdm8ufyPnTzZfRnsyiM3V+ect2uHahuX4I47tGLvmopgw4bATz8BTzyhF2R2B1yfT7N3vfdedAV3QOe/x9qYETt5vdpk5YaLoowMd1Q4LBgbwwAfLf76Cxg9OnoH9ezYUf7H/vBD9C4Ra7XCQv1fde6Mwe2nwevVQXeHLScbzTZu1GU1583Tpky7Ut16vcAZZwCffKJT46KJSBmJDOgwPh/w2GO6hrIbtGkTfReUR/L59PMRrnA68CO1xcUgu0su0eloUTCwo8QtIaF8S4VmZ8dvqk+vV67q9OfBf99Ry8lGk6VLRS699NBys/Pn6+t9333WT6fzekXOOkskL8/pZ10yTo8LfvN4RDIyRAoLnX7VgldYKPLMMyI1a2paWKf/hyV9Pl5+WcTvF3CQXQxYtgz47rvoHFxXxOsFtmwJ/XG//qoJTOJRdjYaL/gSgMDv19waEyc6XagjzJoF9Oypfe9ffqmFrFxZF4lJTgaee04LXaeONa9jaqo2kX7zjU6/jEbjx0dvS1q0SU3VjIzR1gpzLAkJunTt5s3Axx9r6ufiGUGdkpKi4xh++gm4805LWhlc9KrEsHvvjc6BdcUlJgKbNoX+uOnT42PN8FKcV/AVUpALQCACvPqqDlh3NH74/Tpyvm1boE8fTbubnX2oG0Xk8Nesa1fgjz/CX2s+NVVzgf/wQ3T31XL1uOCkpWlmuOOOc7ok5ePxAOedB8yerasy3nCDVmTK8x5PSwvvAtjnA3r31gE77duX/zhHYIB32sqVwI8/Rn8ftUj5Btp9+230DhyMgM74GVPRE08lPob/NnoGzZsU4B//0Hwbo0dH+GXPywPeeUfTEV99tc7hO3Dg6Pv5/Uensa1YEfjwQ63xVK4ceu07JQVo1UoHXEbzAKc9e4AVK5wuRfRLSgK6d9cFpGJBy5aanGfrVuDZZzVtd4UKwT22KDgfd1z5WgF8PuDFF4Gvv9b8/VYKp30/UltM98Hn5Gg/Z/Pm2lcdrUkYUlNFXnsttOeWn3+oT5ebSHKy+Bs2knFvbZE2bXRX+/YiEybYnN8lM1P7HKtWDe795fOJvPlm6cfbulWkV6/g+6mTk0VOPFFTMEe7zz+Pzn7ZaNuqVAluyWK38vtFpkwROftsTb1b2jgin0/kn//Ufv3Nm0Vq19Z038H8D1NTRRo2FFm8uNRiIMw++HI/MJJbTAf44rZt09zml16qqdDS0vTN5fSHuWh74IHQns/cufyyPHJLSBCpUkUKfp4r//d/Ik2a6O7u3cNP93+ULVv04jEtLbRMdcnJIi+9dOxj+/0io0aVvdZ8UpJevO7aZfGTs8mVVzr/Hon2zecT+fZbp1+pyFm7Vj9HFSsefoHs9Yo8+eThV+crVgSX697nE7n8cpH9+495agb4WOX365Xds8+KnHKKfulWqnTsL1O7t0svDe05vPBCdF2gRNPm84mMHSu5udowUru27j7//GNe0Adn1SpNnZuaWr7/v8cj8vTTwZ+rXbuSLyASE0WOO04vXN3A79cLa6ffG9G8pabqeyseZWeLvP++LgyVkCDy1lsl32/27NJnnhQt5vXOO0GdkgE+XmRliXz/vcjtt4s0aqRf3JGeynPKKaGV+YwznP9CiubN6xUZMUJE9EL+qac0vhgjcvXVIqtXh/gemT9fpG9f/RJOTAyvbEOHBn/eggKRJ544/EstIUGkfn1ttnSLhQujt4ssWrZ69cqsdcaFzMxj3/7ll0cHea9Xm+yWLw/6NAzw8WrDBr0KPO88DfQVKmhzqJ0f7kaNgi+f388vy2C24n14IrJzp8iDD2qMTkrSm775RoN/iXPo/X6RiRP14svrDb7/r6ztrrtCf0/On6/vkeRkkYsvFlm/PvRjOOnJJ+M3Z0Mwm9cr8vPPTr9K7vHhhyIdOx76MF9zjVbUQhC1AR5AQwBTASwHsAzAXYH9jwPYCGBRYDu3rGMxwJehoED7u594QptLi5rzrf6Ap6UFX6Zly5gsJNjN5xPp0+ewD//GjSK33HIo99FRiXIKCkQ+/VSkRQt7/s/XX1++92JurjsG05WkbVvn3wvRuvl8IkOGOP0KuVNBgVbIyiHcAG/nzP4CAPeKyAJjTEUA840xRWk+RojI8zaeO754PJo8JCMD+Ne/dPW2adN0rvN33wF79+r9jpz6FKqcHJ2vH8wc5unT9auBypaVpa/XKafoIie1aqFePWDkSJ1e+8ILOnMtLw+YNjEfnRe+BfznP5rf364c/+U9bnJy9KwvHwpOjyudMToF7N//drok7uTxAPXrO3Jq2+bBi8hmEVkQ+H0fgN8BOPMs402lSsAFFwBvv61z15cu1SjRq5cmY6hUqXzzNVNTg58L//33cZ3gJmQ5ORpg0tM1qUzAJZccyp/h9wtOfuYyzcK1ZYt9wd3nA2rVsufY0WrixOhOvuOk1FTNchitmQepVBFJdGOMaQygPYBfArtuN8YsNsa8Y4ypGokyxLWmTYFbb9XaYWam1urvv18TjyQnaxKTYASbzU5EU6BSaPLzNXBnZAAzZwLQLJpTpgA336wZNl9MuB8FhTYtlOHzAdWqabq9l1+25xzRiqvHle7UU/W7glzH9gBvjKkA4AsAd4tIJoCRAJoBSAewGcALpTxukDFmnjFm3vbt2+0uZvxIStLUo089pWkRN2/Wmn7//vrl7vOVnnJRJLgAv3Zt+N0B8UpEA03v3rrSGjTIjxoFjBxp8MP+rnjg+C+tXeUtOVmPN2QIsH69puz0eKw7frQT4epxZfn7b6bvdSFbA7wxJgka3D8SkS8BQES2ikihiPgBvAWgU0mPFZFRIpIhIhk1a9a0s5jxrVo14LLLNAXpjh26TOjTT+tFQEqKNucXLSSRmxtcE/2MGfEVIOyQnQ3ceCPw5JMHxzLcfDNwxx3AiKVn4Z0Bk8IP8gkJejF37bXAmjXAo4/atzxsNFuyJK7TKZdp/nxdCtbrBapU0dp8797A7bcDH3wQ/Wm241k4I/SOtQEwAD4A8NIR++sW+30wgE/LOhZH0TskO1tk0iSRu+8+lHItmAQoV13l/KjfWNl8PpHrrtO0v6I/zjxTZ93M+mC1SIMG5Utm4/OJ9O4tsnKlve8hN9i6lQluyrulpoo8/rjTr2DMQpij6I0ew3rGmG4AZgJYAqDoEu9hAP2hzfMCYA2Af4jIMauFGRkZMm/ePFvKSSHYuhWoUaPs2nm9euVbmIZK5vMBJ5+sC/dUrIjdu3XA/d69wK9T9uO4B67QUfjBDGpMS9MxGSNHaisNqalTgb592bUUKp8PGDdOB/CS5Ywx80Uko9yPtyvAW4kB3kW2btUpNdG+/K3bpKToCldTpwL162PFCh371LgxMGumoMKbL+gUydICVFqadre88ooOzbdgremYM2yYjk3h7I/gGKMXiYEBoWS9cAM8l4sla82c6c550NEuNxf46y9dT33JErRqBXz6qXYfXzfQwH/PfbrscNWqh0+BTE3VWRJPPqn97JdeyuBemocfBk47jdPlgpWaCrz+utOloGNggCdrTZzI6UZ2KSwEdu7UYfU//og+fYDnntMpyk88AaBbN2D5cp1L7/Xq9s9/6sj4u+/mhVdZjAFGj9ZuKDq2pCSgXz8dfEdRi030ZK1mzbSmSfbyeoGXX4bcdDNuuAF47z3gs890QgQKCnRWRM+eQMOGTpfUfZYu1UEObKovndcL/PmnYxna4gWb6Cl67NmjtUWyX3Y2cM89MAZ44w2gSxfguuuABQugTfTXXsvgXl5t2gBvvhmfUwaDkZqqU+QY3KMeAzxZZ/ZsvbIn+3m92uwO7TL+8kttWe7XT5PhUZiuvhq46iq+n0uSnAw88ojTpaAgMMCTdSZPZv97pCQnAw8+ePDP2rV1ttKuXcBFF2lqewrTf/8LNG/OpE3FpaXpQkeVKjldEgoCAzxZ54cfNP0F2SstTUfFV6hw2O70dE0s9vPPwD/+wZcibMnJmnvgiP9zXKtcWde1IFdggCdrZGcftgoa2ahKFY3gJbjkEh1R/8EHmrdlzpzIFi3mNGig/R9sqtcLy1de4apyLsIAT9b45Rd+CUZCWhrw0kvH/JLt2VNnfE2YAJxxBoN82M44A3joIQ66a9YMuPhip0tBIWCAJ2tMncppRZHQpIlW00uxfTswcOCh5vn8fM1iS2F65BHN2havuQS8Xk1vzCRJrsIAT9b47juuyGU3n08HfpXyJTtvni4lv369VvA9Ho1HPXpEtpgxyRhgzBjtGklL0y1eJCQA3bvrXExyFQZ4Cl9+PrB4sdOliG3GAJ066RdtCd59VxPZAdokP326DnaePFkT35EFinL5b9kCPPOMzgOPhwF4ycn6vMl1GOApfAsWMH+33VJSgNdeO2r3jBmadO2GGzTAz5+vC8917qzdxgzuNqhQQVMAr1sHfP651my93ticTpecDAwYALRo4XRJqBwY4Cl8M2Zw9Tg7JSXp5PbWrQ/bPWeODqj79VdNXvfYY0yjHlEJCUCfPsBPP+mV1TXXaJa3WBpsmpioK+yRKzHAU/i+/RbIy3O6FLErMRF49tmjdk+bdmgwXUEBMH58ZItFxZxwgvaTbNoEPPooUL16bDTf33ADUKuW06WgcmKAp/D4/cDcuU6XInalpmpikQYNjrqpRw+9OSHwKR45Uq+1yEFVq2rfyJYtGvDbttXBkW4cfZ6UBDRu7HQpKAwM8BSeZcsORRiyXmKi1ghL0LmzDqJ78kldG75pU+C884D779dxj+SgxETg0kuB337TEY8XXqjjKNw0ViUpSTPXkWvxm5nCM2OGrlNO1vP5NLhXqVLqXYoG011xhaaovfVW4PnndbD92rWRKyodQ0aGZsP7+29g8GCgYkV3TLPzeBjgXY4BnsIzYYKmqSXrpaUBd90V9N1TU4HXXwdGj9aGlfbtdQEaihJ16wJPPw1s2wa8+qo2uURzoE9IYIB3OQZ4Kj8RHUFM1ktLA154oVxNupdfDixcqEnv+vUD7rmHYyDLtHw58PbbkTlXaipw/fXAqlU6aOLMM3VfNOZ4Z4B3NQZ4Kr+//mLksEvdujr/uJyaNQNmzwbuuAMYMQI47TRgzRrrihcTRIBZs3SuYevWwL/+FdnuJmOA008HJk7UJpebb9ZumWjJeV9YyADvcgzwVH4zZrhzdHC0S0vTlLRhDl5MSdEEZGPGACtXapP9119bU0RX8/v1H9G2rc5jnzZNg+pzzzmXrKZpU33Nt2zReed16zo/zY4B3vUY4Kn8fvgBOHDA6VLEnjZtgLPOsuxwl1yiyQabN9d8OXfdFed5iXr0AK66Cli69ND7t04d4MorHS0WAB2Ad9ddwIYNwCefaJpCp7Lk5eUxwLscAzyVH5cps57Xe8wFZcqraVNtjb77bq3Vd+2qPSxx6ciuj7Q04OWXo2u6Z0KCznn8+WdNVdi/v/bTp6ZGrgwisZWVLw4ZKUqFFcUyMjJk3rx5TheDitu0SaNGXFcFLebxAH37AmPH2nqar7/WMV5+P/DAAxpLevSIs7z1s2ZpTXnvXm2q/+KL6O9u2rEDeOMNnQdZWAjs32/v+dLS7D8HHZMxZr6IZJT38YlWFobiyMyZuhAFA7x1kpOBl16y/TQXXgikp+u1xCOPaFxLTY2zleeKVuZxi9xcbTGbOhXIydFEOnaL5il8FJQoapMiV5k4Edi3z+lSxI6UFODaa3VuWwQ0bqytvoC2xOblscclav3xhw6guP56YMoUDfaRGPvi9CA/Chtr8FQ+kyY5XYLY4vFoztkIqllTfxqjjQc9ekT09BSsF18E1q+P/HkrVYr8OclSDPAUul27tA+erOH1amd4hNd6/eorHSQ9eDBw9tlx1DzvNtOnO3PeY6RIJndggKfQ/fSTBiWuaGKNlBTgvvsiespff9VZjsOHAw8+GNFTUyhyc4HVq505d7VqzpyXLMM+eArdpEkcXWuVtDSNshEe0PSf/+j39223RfS0FKrffnNuqlr16s6clyzDAE+h+/FHnWNF4atWDbjxxoiecsECYPx4zVFfsWJET02h+vln59JBFw3SINdigKfQHDjgXJNhrElL06wzkZjyVMx//qPdq7ffHtHTUnlMmaLT4iItMRGoWjXy5yVLsQ+eQvPnn9GV8cstfD5dLSwvT5OUNGig6Wj79YtoMRYv1kQ3jz3GLKSu8Msvzpw3OZlvkBjAAE+haddOF8N45BGuA3+k5GTtLy0s1FpXrVrA8cfr/6xNG6BFC93q1nUsa9qTTx5Kd05Rbtcu3Zzg8TDAxwAGeAqNMdp5e/bZmhJt06b4CvQez6EBcVlZOle4SRPgpJM05WnLlhrEGzeOeNN7WZYt05XlHn6Yra+u8OuvmmLQiT74hAQG+BgQXd9A5B5t2mjEuPde4J13YivIG6NB3OPR55WUBBx3HHDCCbrmalEQP/746Fm7OwjDhmlxBw92uiQUlNmznVutUYQBPgYwwFP5paQAr72ma5BefrlOnXNqxG95eL3arJ6fr1v9+hq809OBE0/UIN68eUxMF1q5Ehg9Wqfbx8DTiQ+TJ2t3jxMY4I8tNxfYuvXwbfNmXea3WzddjjgKxipxNTmyxq5dwDXXaELzrCynS3NIUpIGcr9fa+M1a5bcL16vXlR8IO1y3XXA558Da9bo0ACKciI6WMKpGrzXC6xapZ+LeFFa0F6/Hli3Tn/fvh3YvVvvm5p6qBuuoEDH3fj92vpXvz4wciRwxhlhFYmryVF0qFZNJ1e/+y5w550aTCM1Vz4hQT9UxujFRcWK2gd+ZL94kyYa8OPM558D//d/wBVXMLi7xurVGuSdkp8fGzX4vDwN1Fu2HAraW7ZowA4laJektIrMgQO6QND55wMdOwKvv64tgg5ggCfrGAPccANw+unAxRdrDcDK2nxamn74cnI0qDdqdKhfvFWrQ/3iXAXroDlzdNU4EZ0eN2cOc867wq+/ltyiVBSAsrLsvYD2+101vqREs2frVFQg/KBdHllZwIwZQEYGcMklwLPP6gyaCGKAJ+s1a6ZrbT/xBPDCC6ENwEtN1b79/Hy9+q5XTwN38X7xFi10YRaHppq5ybRph7pxc3OB775jgHeFefMO1SiLJ7oxRvfb3TqWmuruz9eCBUDv3s53F4ro99/o0cAXX+gMpCFDIlYJYR882evnn7U2v3v3oS+qon5xEf0AVq+uFwVt22qzelEQb9gwpvvFI2HOHO0GzM3Vf3daGjB0qM6Dd3sFLaatWQM8/ri+gGvX6ucgkjNVatYEtm2L3PmstHQp0LUrkJnpdEmO5vVqBWb4cE1RXcZU2nD74BngyX779mle1EWLdGBbu3aH+sWbNtU3PNlmzhytyTdqBHz2GTBunLYUPv649qhE2XT9+FVQoCPn33wTmDBBXxinFnVq0gT46y9nzh2OP/8ETjlFKxTRLC1NWyFffx0455xSW0sY4IkoJLNmaSvhTz/pNdawYdpF6OYWWdcSARYuBN5+G/joI21637fP6VLpRfiiRU6XIjRr12p/986dzg5QDEVaGtC6tY6479DhqJvDDfBs/ySKM926ATNnak0+KQm47DKt9Eyd6nTJ4siaNbrqT6NGQPfuWmvfuzc6gjvgvlSHmzbp4JJdu9wT3AEdcf/rr/qhvOQSHdlvIccCvDGmjzFmpTFmlTFmiFPlIIpHxugsnt9+05mNW7ZoX32fPocqbh8t+QiNX2qMhCcS0PilxvhoyUeOltn1du8GRo3SAaMnnKBNJxs26Je8UwltSlOtmtMlCN727UCXLvrTrctYZ2frFXerVjoQb+9eSw7rSO+bMcYD4L8AzgKwAcBcY8w4EVnuRHmI4pXHAwwcCFx5JfDf/+o6Qu3bA13O/RsLTngKOXvqAmv6Y23jaRiUNQgAMOCkAc4W2k2Kpi688QYwfbr2qzuVvCYUbkl3uGeP1n43bdIxDG5WUKDbyJHA//4H/PvfYR/SkT54Y0xnAI+LSO/A3w8BgIg8XdL92QdPFBl79gDPPQc8/Vw2pCARMADEAJ484LpeOK7NZqy5e43DpYxyfr/OwX7rLZ0alZAQPU3vwXr4YW1hiGb792vNfeVKd6XIDlZaGsyBA67sg68PYH2xvzcE9h1kjBlkjJlnjJm3ffv2iBaOKF5VqaLf63LH8UDdBYA/EZBEoDAJWNMD6/Za20cYU1asAB58EKhTR0dG/9//aW3dbcE9MTH6++Czs4FevTRjXCwGd8CSlp6oHWQnIqNEJENEMmrWrOl0cYjiynENk4Bz7gYScwCTD3jygcbT0KhyI6eLFl22bgVGjNBpnx066O/bt2vt0k2DvYpLTo7uNLW5uXoBtXix/k6lcmoG7EYADYv93SCwj4iiwLBewzAoaxCyrjsDWNMDaDwNvqaLMazXKKeL5rwDB4CvvtJ+9XnzIp+Exm4eT/QG+IIC4MILdeR58Qx/VCKnAvxcAM2NMU2ggf1KAFc5VBYiOkLRQLqhk4diXcNn0KhyIwzrNSp+B9gVFABTpuh0tu++czYJjd0SEqIzwPv9Ohp0xozYuqCykSMBXkQKjDG3A/gBgAfAOyKyzImyEFHJBpw0IH4DOhC9SWgiIdoCvAhw/fWa4c/p/PIu4liSShH5DsB3Tp2fiKhEa9fqALlRozRxSk5O9M1Tt5PfH10BXgT45z+BMWMY3EPELNRERLt3A59/rnOQV6zQoBKvA7gKCqIrwA8ZArz/PoN7OTDAE1F8ys3VJt833tDVeNyShMZu+fnRE+D/8x/gtdcY3MuJAT7abN2qGa+6ddO10InIOiK6yk5JSWjitcZ+JL8/OtYSHjFCl1VlcC83BninbdumAX3CBGDixEP5lG+9FXj5ZadLRxQbVqwA3nsPeOcdHYF94IB756nbLTXV+aUF33oLGDqUo+XDxAAfadu3a0D//nvgxx+1xp6ScvTo3CpVHCkeUczYuhX4+GNtgl+/XvuW8/OdLlX0S0tz9vwffQTcdReDuwUY4O22c6cG9B9+0G3zZr1Czsw8dJ8jUy0mJQGVKkW2nESx4MAB4OuvdbBcLCahiYQKFZw799dfAzffzNfMIgzwVtu1SxMxfP+9BvRNm46uoZeVOzkx0dkPGZGbFBYCkyfHRxKaSHCqcvHDD8BVVzG4W4gB3kqbNgHHH6818H37DvXxhboYgscDVKxoffmIYoWILlz/9tvAhx/GVxIauznRPThjBnDxxQzuFmOAt9KKFbpQw9694R0nIYE1eKLSrFoF9O6tfezxloQmEiK9ktyvvwLnnsvR8jZggLfSmjU6kCdcxrAGT1SSdet0DfAdOzgK3i41akTuXL/9Bpx5JvMP2CRql4t1pdWrrXujsgZPdLgtWzS479zJ4G6nSAX4FSuA009n14qNGOCttHy5Ncfx+1mDJypu504N7lu36ueD7JGYCFSrZv951qwBunY9fDYRWY4B3kqrVllznMJC1uCJimRmAqedBmzYYE0XGJUuKSkyaWr//W/N/8+WGFsxwFtp40ZrjlNQwBo8EaADr3r2BP76i0lqIiEx0f4ALwKMG8fgHgEM8FbJy7OuuSk/3/lsUkROy83V0fLLlzNPfKQYY3+AX7ZMZz+Q7RjgrbJ+vWaos0Jiom5E8aqgAOjXD5g/n8Eg0uwO8N98w9aYCGGAt8qaNdYF5ZQUa45D5EZ+P9C/PzBzJhOfRJqI/QH+009DT/5F5cIAb5U1a6y7Ko2GpRqJnCAC3Hijppxl4pPIKyiwN8Dn5QG//27f8ekwDPBWWbXKui8kBniKRyLA3XcDn33G4O6U/Hx7A/zixdZ1ZVKZGOCtYtUceIAD7Cg+/etfwP/+x+DuJL/f3u+fvXs1FTdFBP/TVlm92rpjcYocxZvnnwdefJHB3WmpqTqS3i6NG3PtgAjiUG2rbNpk3bG4FjzFkzff1No7B9Q5z+7uwYYN+TpHEGvwVsjNtTblYiQySRFFg48+AgYP5pd+tLA7g2ZyMiswEcQAb4X16wGv17rjObEeM1GkjR0L3Hwzg3s0iUTwrV/f/nMQAAZ4a6xZA3g81h0v0usxE0XaxIk6153BPbpEonLRrJn95yAADPDW+Ptv6+bAJySwBk+xbdYs4MILGdyjUSQqFyecYP85CAADvDWsnAOflMSV5Ch2zZ8PnHMOR8tHq+rV7T9Hs2bM9REhDPBWsDIzU2Iip8lRbFq2DDjjDGD/fqdLQqWpWTP0x4gAl18ONGoETJ1a9v0bN9aKDNmOAd4KVs6B93hYg6fYs3q1rulu5WwTslZiIlCtWuiPGzIE+PZbHWx83nka7HfsKP3+nAsfMQzwVrByDrwxrMFTbFm/HujSBdizx+mS0LEkJYU+Rfd//wNeffVQl0tWls6OaNoUePvtktd851z4iGGAt8JZZ1nbp8QaPMWKrVs1uO/cWfKXPUWPxMTQAvzkycCddx4drPPygH37gLvuAjp2BFasOPz2lBTOhY8QBngrfPKJNk1ZEeRFWIOn2LBrF9C1K7BlC5tk3SAhIfgAv3x52TMhDhwAFiwAOnQAHnoIyMk5dFu9emEVlYLDAG8Fj0eD/GWXhR/k/X7W4Mn99u0DunfX5vmCAqdLQ8EKJsBv3Qr07BncYEkRvQh45RUdPT95su7nXPiIYC56qyQkAO++q4s1/N//lX8aUEEBa/DkbtnZQK9eOn00L8/p0lCw/P6yA3xWlr62u3aFduysLN0uuECnSZZntD6FjAHeSsYAI0dqLf7NN8sX5PPzWYMn98rLA/r0AZYs0TUayD0KC48d4P1+4JJLdEZEeVtlsrKAceP0XF4vB9vZjE30VjMGeOEFXUDD5wt96UURbQUgcpuCAuCii4C5cw/vbyV3yMs7doC/+25gxozwX9v8fL1YYHC3HWvwdjAGePJJnfc7fTrw009aozlwQIN3Tk7pTZfJyfaux0xkl8GDgWnT+MXtVoWFpbce/ve/Ou2NGQhdhQHeTr1761Zkxw7gt9+AhQs1H/eCBcDmzVrTLyjQD4+Vq9IRRcrcuRoAGNzdKzW15MrFd98B99/P19aFGOAjqUYNHaDSqxdw3326LztbU3guXAjMmcPpI+Q++fnAVVcxALhdSTOAfvtNZwfxtXUlBnineb1ARoZuN9/sdGmIQvfMM9ZmcyRnHDl7Z+NGrYywWd61GOCJqPxWrQKeeoo1vFhQPLvcvn06153phV2No+iJqHxEgKuv5nS4WFGliv4sKADOPx9Yt44ZCF2OAZ6Iyuf994GlS3XKE7lf1ap60XbLLTpokhdurscAT0Tl8/ffrOHFkurVNYfHJ5+w3z1GGHHBCk8ZGRkyb948p4tBRMXt3atLf+7b53RJyArVq2uuDiYpihoGmC8iGeV9vC01eGPMc8aYFcaYxcaYr4wxVQL7Gxtjso0xiwLbG3acn4gioHJl4LHHgLQ0p0tCVti5k8E9xtjVRD8RQBsRaQvgDwAPFbtttYikB7ZbbDo/EUXC7bdbs0wyEVnOlgAvIj+KSNFqBD8DaGDHeSjG7NgB/PCDpvnt21eTp/z6q9OlomNJSQGef561eKIoFIlBdjcAmFDs7ybGmIXGmOnGmNMicH6KduvXa0CvXx+4/HLgiSc0PeYnnwA9eui64r/84nQpqTQDBgC1aztdCiI6QrkH2RljJgGoU8JNQ0VkbOA+QwFkALhYRMQYkwKggojsNMacDOBrAK1FJLOE4w8CMAgAGjVqdPLatWvLVU6Kcn4/cNxxmpP/WCOyizL+vfsu0KxZ5MpHwZkwQVOaHjjgdEmIYka4g+xsG0VvjBkI4B8AeolIiXMujDHTANwnIsccIs9R9DHsm2+0KX7//uDun56ui/Rwxb3oIgJ06gTwc0pkmWgdRd8HwAMALige3I0xNY0xnsDvTQE0B/CXHWUgl3jiieCDOwD8+ac23VN0MQZ47TWuhkgURezqg38NQEUAE4+YDtcdwGJjzCIAYwDcIiK7bCoDRbuFC4Hffw/tMQcOAHfcwabgaHTKKcDppwMJzJ9FFA1sWWxGRI4vZf8XAL6w45zkQsOGBT/vNiVFt+xsIClJAzxHbkefl17SbhTOpyZyHFeTI2ds2gSMH390HnNjgAoVtE83N1cH4J18MtC5swaOtm01ZzZFp5YtdSbEJ5/oOvFE5BgGeHLGc89pAK9USX+mpAAnnqiBvGNHoF07oEULIJFvUdd5+mng888Z4Ikcxm9Pcka/fkDdukD79hrMa9VyukRklXr1gH/+UwfdsameyDFcbIaIrMeFaIjCFpXT5IgozlWuDDz6KPPUEzmIAZ6I7HHHHQzwRA5igCci6+XmAqtXA+efr7MiiCjiOMiOiMpHBNi6FVixAli5EliyBFi0SLMN7typWe2M4UA7IocwwBPRseXkaNBeuVIzDy5cCCxbBqxbp7cnJ+uUuOzswx8XSgpiIrIcAzwRaW1882YN4itXAr/9ptuqVcCuXYf60rOyjl71jzV0oqjEAE8UT7KzD9XGly/Xlfl+/11r48aUXhvndDci12GAJ4pFOTnA7NnaP7548aHa+O7dh2rjBw4cnSqYtXGimMEATxSLHn4YePNNDeBHBm3WxoniAgM8USz64QftLyeiuMV58ESxJjdX+9mJKK4xwBNFk9xcYOZMHdVeXgsXAqmp1pWJiFyJAZ4omsyfD3TvDlx0UfmD/Jw5QF6eteUiItdhgCeKJl26AA88AIwdC5x9dvmC/MSJ2hJARHGNAZ4o2jzzDPDii8CkSUDXrqEH+V9+sadcROQqDPBE0WjwYOCDD7S5vU2b4IP8xo0cPU9EABjgiaLXNdcA48drxrn69YML8nPmAElJ9peNiKIeAzxRNOvbV0fVb94MpKSUHeSnT+ciL0QEgAGeKPp166ZT3/LzgfXrj33fKVPCm2JHRDGDmeyI3CA9vezAzQQ3RFQMa/BEsWLRIsDrdboURBQlGOCJYsXs2Zz/TkQHMcATxQomuCGiYhjgiWIFE9wQUTEM8ESxgAluiOgIDPBEsYAJbojoCAzwRLGACW6I6AgM8ESxgAluiOgIDPBEbscEN0RUAgZ4IrdjghsiKgEDPJHbMcENEZWAAZ7I7Zjghij2GBP2IRjgidyOCW6IYk/FimEfggGeyM2Y4IYotni9QEIC4POFfSguF0vkZkUJbnJynC4JEVkhNRXYvRtISQm7mZ41eCI3Y4IbothSv74GdwswwBO52dSpTHBDFEuaNLHsUAzwRG6Vlwf88YfTpSAiK7VqZdmhGOCJ3GrhQia4IYolXi/QrJllh2OAJ3IrJrghii1JScBxx1l2OAZ4Irdighui2CICNGpk2eFsC/DGmMeNMRuNMYsC27nFbnvIGLPKGLPSGNPbrjIQxTQmuCGKLdnZltbg7Z4HP0JEni++wxhzIoArAbQGUA/AJGNMCxEptLksRLGDCW6IYk9KCpCWZtnhnGii7wfgUxHJFZG/AawC0MmBchC5V1GCGyKKHbVrW3o4uwP87caYxcaYd4wxVQP76gNYX+w+GwL7iChYM2YwwQ1RrLGweR4IM8AbYyYZY5aWsPUDMBJAMwDpADYDeCHEYw8yxswzxszbvn17OMUkij1TpjDBDVGsadnS0sOF1QcvImcGcz9jzFsAxgf+3AigYbGbGwT2HXnsUQBGAUBGRga/yYiKMMENUexJTgZatLD0kHaOoq9b7M+LACwN/D4OwJXGmBRjTBMAzQH8alc5iGIOE9wQxZ7UVEunyAH2jqJ/1hiTDkAArAHwDwAQkWXGmM8ALAdQAOCfHEFPYVu6VANfrVq61a4N1KihV8WxhgluiGKTxX3wtgV4EbnmGLcNAzDMrnNTnHn/feDWWwGPRzcRID9fg2BqKlClClCzJjBsGNC3r9OlDR8T3BDFntxc9wR4ItsVFAB33qkBPju75PtkZem2aRPw4ouxEeCZ4IYo9vj92upoIQZ4cqcdO4DzzgOWLAk+4Uv16vaWKRKY4IYoNtWsCRhj6SEZ4Ml9Fi0CevcGdu/WpvhgWXx17IiiBDc5OU6XhIis1LBh2fcJEQM8uUtODnDaaeVL8lKzpvXliTQmuCGKTccfb/khuZocucuUKUBCOd62yclA1apl3y/aMcENUexJSABatbL+sJYfkchOo0cD+/aF/rikJKByZevLE0lMcEMUm3w+y0fQAwzw5CYiwLhx5avBejw6Xc7NmOCGKDZ5PAzwFOfWrCn/4DJj3F+DZ4IbotiUn88AT3GuUaPyL5Eq4v4aPBPcEMWmnBygvvWLqjLAk3t4PMA555TvsX6/+2vwTHBDFJuqVAESrZ/UxgBP7nLFFUDFiqE/Lj/f3TV4Jrghil316tlyWAZ4cpezzy5fM3VeHlCpkvXliZSffy5/9wQRRbemTW05LAM8uUuFCsDJJ4f+uKQkdwfI6dOZ4IYoVrVsacthGeDJfQYMCH26mM9nT1kihQluiGKT1ws0a2bLoZmqltxn0CCgWjXg+++BSZOAnTs1U92xEuBUqBC58lmNCW6IYldysi1T5AAGeHKjpCSgf3/dAGDzZm3CnjCh9IDv5v73ogQ3oSysQ0Tu4PczwBOVqm5d4MordQOODvhbt+p93IoJbohiV3a25viwAQM8xZ6SAr6b++CZ4IYodqWkAGlpthyaAZ5in5tr7wAT3BDFsjp1bDs0R9ETRTMmuCGKbY0b23ZoBniiaMYEN0SxrUUL2w7NAE8UzZjghih2JScDzZvbdngGeKJoxgQ3RLErNdW2KXIAAzxR9GKCG6LYxwBPFIeKEtwQUWzKzbVtDjzAAE8UvZjghii2+f1AjRq2HZ4BnihaMcENUWyrWRMwxrbDM8ATRatff3W6BERkJxub5wEGeKLotGkTcOCA06UgIjvZtExsEQZ4omg0Zw4T3BDFsoQEoFUre09h69GJqHyY4IYotvl8tqapBRjgiaITE9wQxTaPh33wRHGHCW6IYl9+vq1JbgAGeKLowwQ3RLEvJweoX9/WUzDAE0UbJrghin1VqwKJibaeggGeKNpMmsQATxTr6tWz/RT2Xj7YKD8/Hxs2bEBOTo7TRYkbqampaNCgAZI4fctev/zidAmIyG5Nm9p+CtcG+A0bNqBixYpo3LgxjI2p/kiJCHbu3IkNGzagSZMmThcndjHBDVF8sHkOPODiJvqcnBxUr16dwT1CjDGoXr06W0zsxgQ3RLHP54tIDd61AR4Ag3uE8f8dAUxwQxT7kpJsnwMPuDzAR4MNGzagX79+aN68OZo1a4a77roLeXl5eO+993D77bcHfZyXXnoJWVlZ5SrDtGnTcN5555XrsRRlUlI0AQYRxS6/3/Y58EAsBfg6dXTZPau2OnXKPKWI4OKLL8aFF16IP//8E3/88Qf279+PoUOHhlz8cAI8xZDLLgNSU50uBRHZKTubNfiQbN0a8eNNmTIFqampuP766wEAHo8HI0aMwDvvvIOsrCysX78ePXr0QPPmzfHEE08AAA4cOIC+ffuiXbt2aNOmDUaPHo1XXnkFmzZtQs+ePdGzZ08AwK233oqMjAy0bt0ajz322MFzzp07F126dEG7du3QqVMn7Nu377AyHThwADfccAM6deqE9u3bY+zYsVb9RygSMjLYB08U61JTgbQ020/j2lH00WDZsmU4+eSTD9tXqVIlNGrUCAUFBfj111+xdOlS+Hw+dOzYEX379sXatWtRr149fPvttwCAvXv3onLlynjxxRcxdepU1KhRAwAwbNgwVKtWDYWFhejVqxcWL16MVq1a4YorrsDo0aPRsWNHZGZmwntExrNhw4bhjDPOwDvvvIM9e/agU6dOOPPMM5EWgTcTWSAhAbj4YuCdd5iLnihW1a4dkdPETg0+Cp111lmoXr06vF4vLr74YsyaNQsnnXQSJk6ciAcffBAzZ85E5cqVS3zsZ599hg4dOqB9+/ZYtmwZli9fjpUrV6Ju3bro2LEjAL2YSDwiE9KPP/6I4cOHIz09HT169EBOTg7WrVtn+3MlC/XvD1So4HQpiMguNq8iV4Q1+DCceOKJGDNmzGH7MjMzsW7dOiQmJh416twYgxYtWmDBggX47rvv8Mgjj6BXr17417/+ddj9/v77bzz//POYO3cuqlatioEDBwY9PU1E8MUXX6Bly5bhPTlyTvfuQGGh06UgIrtE6PvZlhq8MWa0MWZRYFtjjFkU2N/YGJNd7LY37Dh/pPTq1QtZWVn44IMPAACFhYW49957MXDgQPh8PkycOBG7du1CdnY2vv76a3Tt2hWbNm2Cz+fD1Vdfjfvvvx8LFiwAAFSsWPFgf3pmZibS0tJQuXJlbN26FRMmTAAAtGzZEps3b8bcuXMBAPv27UNBQcFhZerduzdeffVVSKB5d+HChRH5X5CFkpKAc891uhREZIfkZKB584icypYALyJXiEi6iKQD+ALAl8VuXl10m4jcYsf5I8UYg6+++gqff/45mjdvjhYtWiA1NRVPPfUUAKBTp0645JJL0LZtW1xyySXIyMjAkiVL0KlTJ6Snp+OJJ57AI488AgAYNGgQ+vTpg549e6Jdu3Zo3749WrVqhauuugpdu3YFACQnJ2P06NG444470K5dO5x11llH1ewfffRR5Ofno23btmjdujUeffTRyP5TyBoDBgAVKzpdCiKyWmpqREbQA4ARGwfyGG2jXgfgDBH50xjTGMB4EWkTynEyMjJk3rx5h+37/fffccIJJxzaUaeOtSPpa9cGtmyx7ngx4qj/O9kjKwuoVo2LzhDFmkqVgClTgCMGaJfEGDNfRDLKeyq7B9mdBmCriPxZbF8TY8xCY8x0Y8xppT3QGDPIGDPPGDNv+/btZZ9pyxYddWzVxuBOTvL5gG7dnC4FEVktNzciSW6AMAK8MWaSMWZpCVu/YnfrD+CTYn9vBtBIRNoDuAfAx8aYSiUdX0RGiUiGiGTUrFmzvMUkcq9rr+VoeqJY4/cD1atH5FTlHkUvImce63ZjTCKAiwEcbIcQkVwAuYHf5xtjVgNoAWBeiQchimfnnQfcfLPTpSAiK9WqpdlSI8DOJvozAawQkQ1FO4wxNY0xnsDvTQE0B/CXjWUgcq9q1YB27ZwuBRFZSSRi02DtDPBX4vDmeQDoDmBxYNrcGAC3iMguG8tA5G7XXqv98UQUG/buBV5/PSKnsi3Ai8hAEXnjiH1fiEjrwBS5DiLyjV3nJ4oJF13EpDdEseTAAeDhh4Ft22w/FVPVEkWz+vWBJk2cLgURWSk3F7jjDttPEzMBvm6DRjDGWLbVbXDsRASDBw/GSy+9dPDv3r1746abbjr497333osXX3wR48aNw/Dhw0N6LgMHDjwqBW6Ru+++GzNmzAAA3HjjjWjXrh3atm2LSy+9FPv37wcAPP7446hfvz7S09PRqlUr3HrrrfD7/QCAFStWID09He3bt8fq1avx8ccfHzz2kiVLMHDgwJDKShFw9dW6TjwRxYb8fOCbb4BZs2w9Tczkot+ycT2Oe3C8Zcdb+8x5x7y9a9eu+Oyzz3D33XfD7/djx44dyMzMPHj77NmzMWLECJx66qm44IILLCnTzp078fPPPx+8sBgxYgQqVdJZhvfccw9ee+01DBkyBIBegNx3333w+/3o3r07pk+fjp49e+Lrr7/GpZdeikceeQTTpk3Dxx9/jKuuugoAcNJJJ2HDhg1Yt24dGkUo0xIF4dJLgWHDnC4FEVkpOxu46Sbg999tG1UfMzX4SOvSpQvmzJkDQJeNbdOmDSpWrIjdu3cjNzcXv//+Ozp06ID33nsPt99+OwCtmd95553o0qULmjZterCWLiK4/fbb0bJlS5x55pnYVkrfzBdffIE+ffoc/LsouIsIsrOzj1rcBgDy8vKQk5ODqlWr4rvvvsNLL72EkSNHomfPnhgyZAhmzpyJ9PR0jBgxAgBw/vnn49NPP7XuH0Xha9kyYvNmiSiC1qwBZs+27fAM8OVUr149JCYmYt26dZg9ezY6d+6MU045BXPmzMG8efNw0kknITk5+ajHbd68GbNmzcL48eMP1ra/+uorrFy5EsuXL8cHH3yA2aW84D/99NNR689ff/31qFOnDlasWIE7ivXpjBgxAunp6ahbty5atGiB9PR0nHvuubjlllswePBgTJ06FcOHD8dpp52GRYsWYfDgwQCAjIwMzJw506p/E1mlf38gMWYa3IjiU4UKQFoa4PHo7Bib14VngA9Dly5dMHv27IMBvnPnzgf/Llog5kgXXnghEhIScOKJJ2JrIHf+jBkz0L9/f3g8HtSrVw9nnHFGiY/dvHkzjszq9+6772LTpk044YQTMHr06IP7Bw8ejEWLFmHbtm04cOBA0LXyWrVqYdOmTUHdlyLo8st1kQoicq969YAlS4D9+3U0/dq1QCmxwgoM8GHo2rUrZs+ejSVLlqBNmzY49dRTMWfOHMyePRtdunQp8TEpxQZLhbrQj9frLXFdeI/HgyuvvBJffPHFUbclJSWhT58+BwfmlSUnJwderzekclEEJCXpAjRE5F4nnqizYiJ0sc4AH4YuXbpg/PjxqFatGjweD6pVq4Y9e/Zgzpw5pQb4knTv3h2jR49GYWEhNm/ejKlTp5Z4vxNOOAGrVq0CoBcHxX8fN24cWrVqddRjRAQ//fQTmjVrdtRtxdegL/LHH3+gTZuQFvsjOx04ANx1F9C5s+awJiL3KuE72k4x06lXp37DMke+h3q8spx00knYsWPHwVHoRfv279+PGjVqBH2uiy66CFOmTMGJJ56IRo0aoXPnziXer2/fvnjzzTdx0003QURw3XXXITMzEyKCdu3aYeTIkQfvO2LECHz44YcH14a/7bbbjjpe27Zt4fF40K5dOwwcOPBg33zfvn2DLjvZ6JtvgBtv1Oa87GynS0NE4fD5Ip7Twtb14K0S1HrwcaJbt24YP348qlSpYvmxc3Nzcfrpp2PWrFlILGVAV7z+3yNq40adPjNjBpvliWJF5crA6NFA795BPyTa14Mni73wwgtYt26dLcdet24dhg8fXmpwJ5sVFgIvvQS0aAFMmsTgThRLCgsjtg58EX6Tu8wpp5xi27GbN2+O5s2b23Z8OoYFC4ABA4D16xnYiWJRdjYQ4QRirMETOWnfPuC224Bu3YAVK3RQHRHFHq834itDsgZP5KQbbtDBdLm5TpeEiOxUp07ET8kaPJGTKlRgcCeKB40bR/yUDPBh8Hg8SE9PR+vWrdGuXTu88MILB1dtC9VTTz112N+hzKM/0nvvvXdYNrqbbroJy5cvL/fxyEYnnKBJbIgotrVsGfFTMsCHwev1YtGiRVi2bBkmTpyICRMm4IknnijXsY4M8KXlow/GkQH+f//7H0488cRyH49s1KyZ9s0RUexKSQGOPz7ip42LAJ9XmIdzPjwH53x4Dvbn7T/4e15hnmXnqFWrFkaNGoXXXnsNIoLCwkLcf//96NixI9q2bYs333wTgOaT7969O9LT09GmTRvMnDkTQ4YMQXZ2NtLT0zFgwAAAQIUKFQAA06ZNQ48ePXDppZeiVatWGDBgwMEUt//+97/RsWNHtGnTBoMGDYKIYMyYMZg3bx4GDBiA9PR0ZGdno0ePHijKI/DJJ5/gpJNOQps2bfDggw8eLH+FChUwdOhQtGvXDqeeeurBPPlkswgnviAiB6SkRHyKHABNZRrt28knnyxHWr58+VH7StPn//qI90mveJ/0SuWnKx/8vc//9Qn6GCVJS0s7al/lypVly5Yt8uabb8p//vMfERHJycmRk08+Wf766y95/vnn5cknnxQRkYKCAsnMzCzxWEV/T506VSpVqiTr16+XwsJCOfXUU2XmzJkiIrJz586D97/66qtl3LhxIiJy+umny9y5cw/eVvT3xo0bpWHDhrJt2zbJz8+Xnj17yldffSUiIgAOPv7+++8/WPYjhfJ/pyDs2iWSnCwCcOPGLVa3SpVE5s8P+esBwDyR8sfOuKjBF8kuyMbe3L3ILrA/7eePP/6IDz74AOnp6TjllFOwc+dO/Pnnn+jYsSPeffddPP7441iyZAkqVqxY5rE6deqEBg0aICEhAenp6VizZg0AYOrUqTjllFNw0kknYcqUKVi2bNkxjzN37lz06NEDNWvWRGJiIgYMGHBwEZrk5GScd56m+j355JMPnoNsVrVqxKfOEFGE5eY6UoOPiwD/+eWfI9lz+NrsyZ5kjLl8jKXn+euvv+DxeFCrVi2ICF599VUsWrQIixYtwt9//42zzz4b3bt3x4wZM1C/fn0MHDgQH3zwQZnHLb4CncfjQUFBAXJycnDbbbdhzJgxWLJkCW6++eYSV5oLVlJSEowxh52DIuTaa7nWO1Es8/uBatUiftq4CPCXfXbZUf3teYV5uPSzSy07x/bt23HLLbfg9ttvhzEGvXv3xsiRI5Gfnw9AV2k7cOAA1q5di9q1a+Pmm2/GTTfdhAULFgDQAFt032AUBfMaNWpg//79GDPm0MVKSavEAdoSMH36dOzYsQOFhYX45JNPcPrpp4fztMkKgwZxJD1RLKtVCwhUoCIprqoN3kQvkj3Jlg2uKxoYl5+fj8TERFxzzTW45557AOjUtDVr1qBDhw4QEdSsWRNff/01pk2bhueeew5JSUmoUKHCwRr8oEGD0LZtW3To0AEfffRRmeeuUqUKbr75ZrRp0wZ16tRBx44dD942cOBA3HLLLfB6vZgzZ87B/XXr1sXw4cPRs2dPiAj69u2Lfv36WfK/oDC0bg2cdhowdSoQwkUeEblEhFPUFomL1eTyCvPQ7xMNZJ9f/jku++wyAMDY/mOParqnY+NqcjbZsUMXmdm92+mSEJHVrr0WeP/9kB8W7mpycVGDT/YkY8LVEw7+Xfx3oqhQowbw+efA+edz7XeiWOLx6MW7A+KiD57IFXr10v54jqonih1eryNpagEGeKLo8uyz2l93rAE5Ph9QubLmsfd4gORkIIEfZaKo5PE4k+QGcdJET+QaycnA2LFAhw4atLOygLQ0oH59oGlTzV1//PGaAa9xY70Y+OUXbdovYeYEETksP58BnogCWrQAliw5lByjrFz13bpFplxEFLrcXKBuXUdOzXY9omjUpAnQqlVwC9F4PEAgCyERRZkqVRxLZMUAH6Zhw4ahdevWaNu2LdLT0/HLL7/gpZdeQlZWVsjHOnIVOKKgXXUVEETaYyKKsPr1HTs1A3wY5syZg/Hjx2PBggVYvHgxJk2ahIYNG5YrwBcWFjLAU/mdeSaT5BBFo2bNHDt13AT4j5Z8hMYvNUbCEwlo/FJjfLSk7GxxZdm8eTNq1KhxMFd8jRo1MGbMGGzatAk9e/ZEz549AQC33norMjIy0Lp1azz22GMHH9+4cWM8+OCD6NChAz755JOjlnklClpqKjBsGNeWJ4o2LVs6duq4CPAfLfkIg74ZhLV710IgWLt3LQZ9MyjsIH/22Wdj/fr1aNGiBW677TZMnz4dd955J+rVq4epU6di6tSpALQZf968eVi8eDGmT5+OxYsXHzxG9erVsWDBAlx99dXIyMjARx99hEWLFsHLL2oK1T33AJMna97rZGZoJHKcz6ezXxwSFwF+6OShyMo/vMk8Kz8LQycPDeu4FSpUwPz58zFq1CjUrFkTV1xxBd57772j7vfZZ5+hQ4cOaN++PZYtW4bly5cfvO2KK64IqwxEh+ncGVi5EjjrLJ1eR0TOSUpybIocECfT5NbtXRfS/lB4PB706NEDPXr0wEknnYT3j8g3/Pfff+P555/H3LlzUbVqVQwcOPCwZV3T+CVMVqtSBfjmG+CNN4D77tO59EQUeYWFjgb4uKjBN6pc8ko+pe0P1sqVK/Hnn38e/HvRokU47rjjDluuNTMzE2lpaahcuTK2bt2KCRNKz4Nf2jKvRCEzBrj1VuDXXzUhTmqq0yUiij/Z2UDDho6dPi5q8MN6DcOgbwYd1kzvS/JhWK9hYR13//79uOOOO7Bnzx4kJibi+OOPx6hRo/DJJ5+gT58+B/vi27dvj1atWqFhw4bo2rVrqcc7cplX9sNT2Fq3BpYv12D/+eeszRNFktfr6NoScbFcLKAD7YZOHop1e9ehUeVGGNZrGAacNMDqosY8LhfrYp9/DtxwgwZ5v9/p0hDFvubNgT/+KPfDuVxskAacNIABneLbZZcBHTsC/foBq1axNk9kN4dWkSsSF33wRBTQuDEwbx5w222cM09kN4fWgS/CAE8Ub5KSgOee05H2Vavq30RkrZQUbaJ3kKsDvBvGD8QS/r9jTK9ewIoVOnfewYFARDEpJcXRKXKAiwN8amoqdu7cyaATISKCnTt3IpXTrWJLrVrA1KnAY4+xyZ7Iag4HeNcOsmvQoAE2bNiA7du3O12UuJGamooGDRo4XQyyWkIC8MADwBlnABdcAOzapWtYE1H55eYCjcLLtRKusAK8MeYyAI8DOAFAJxGZV+y2hwDcCKAQwJ0i8kNgfx8ALwPwAPifiAwvz7mTkpLQpEmTcIpPRMVlZGiT/XXXAT/+yFH2ROEQAapVc7QI4TbRLwVwMYAZxXcaY04EcCWA1gD6AHjdGOMxxngA/BfAOQBOBNA/cF8iigaVKgFffgm8+qr2yxvjdImI3KlWLcc/P2EFeBH5XURWlnBTPwCfikiuiPwNYBWAToFtlYj8JSJ5AD4N3JeIooUxmhBnwQLg+OPZN09UHg6mqC1i1yC7+gDWF/t7Q2BfafuJKNq0bAksXgxccw2DPFGoHJ4iBwTRB2+MmQSgTgk3DRWRsdYX6eB5BwEYFPgz1xiz1K5zRYEaAHY4XQgb8fm5Wyw/v1h+bgCfn3M++EC38LQM58FlBngRObMcx90IoHj7RIPAPhxj/5HnHQVgFAAYY+aFk4832vH5uRufn3vF8nMD+Pzczhgzr+x7lc6uJvpxAK40xqQYY5oAaA7gVwBzATQ3xjQxxiRDB+KNs6kMREREcSvcaXIXAXgVQE0A3xpjFolIbxFZZoz5DMByAAUA/ikihYHH3A7gB+g0uXdEZFlYz4CIiIiOElaAF5GvAHxVym3DABy14LqIfAfguxBPNSr00rkKn5+78fm5Vyw/N4DPz+3Cen6uWA+eiIiIQuPaXPRERERUuqgL8MaYy4wxy4wxfmNMxhG3PWSMWWWMWWmM6V1sf5/AvlXGmCGRL3X5GGNGG2MWBbY1xphFgf2NjTHZxW57w+Gilosx5nFjzMZiz+PcYreV+Fq6hTHmOWPMCmPMYmPMV8aYKoH9MfHaAe79XJXGGNPQGDPVGLM88B1zV2B/qe9Ttwl8jywJPI95gX3VjDETjTF/Bn5WdbqcoTLGtCz2+iwyxmQaY+52+2tnjHnHGLOt+DTw0l4vo14JfB4XG2M6lHkCEYmqDZrXviWAaQAyiu0/EcBvAFIANAGwGjpQzxP4vSmA5MB9TnT6eZTjeb8A4F+B3xsDWOp0mSx4To8DuK+E/SW+lk6XN8TndjaAxMDvzwB4JsZeu5j4XB3xnOoC6BD4vSKAPwLvxRLfp27cAKwBUOOIfc8CGBL4fUjRe9WtW+C9uQXAcW5/7QB0B9Ch+HdGaa8XgHMBTABgAJwK4Jeyjh91NXiJw/S3xhgD4HIAnzhdlggp7bV0DRH5UUQKAn/+DM3pEEtc/7k6kohsFpEFgd/3Afgd8ZFJsx+A9wO/vw/gQueKYoleAFaLyFqnCxIuEZkBYNcRu0t7vfoB+EDUzwCqGGPqHuv4URfgjyGW09+eBmCriPxZbF8TY8xCY8x0Y8xpThXMArcHmpPeKdY0GAuvWXE3QK+si8TCaxdrr9FhjDGNAbQH8EtgV0nvUzcSAD8aY+YbzQYKALVFZHPg9y0AajtTNMtcicMrQ7Hy2hUp7fUK+TPpSIA3xkwyxiwtYXN1DaEkQT7X/jj8DbsZQCMRaQ/gHgAfG2MqRbLcwSrj+Y0E0AxAOvQ5veBkWUMVzGtnjBkKzfXwUWCXa167eGWMqQDgCwB3i0gmXP4+PUI3EekAXbHzn8aY7sVvFG3rde3UKaMJ0i4A8HlgVyy9dkcJ9/UKax58eYlD6W+dUNZzNcYkQpfcPbnYY3IB5AZ+n2+MWQ2gBYCw0hbaIdjX0hjzFoDxgT+P9VpGjSBeu4EAzgPQK/BBdNVrVwZXvEahMsYkQYP7RyLyJQCIyNZitxd/n7qOiGwM/NxmjPkK2tWy1RhTV0Q2B5p0tzlayPCcA2BB0WsWS69dMaW9XiF/Jt3URB+r6W/PBLBCRDYU7TDG1DTGeAK/N4U+178cKl+5HdE/dBGAopGipb2WrmGM6QPgAQAXiEhWsf0x8drB/Z+rowTGurwN4HcRebHY/tLep65ijEkzxlQs+h06EHQp9HW7LnC36wDYtkhYBBzW2hkrr90RSnu9xgG4NjCa/lQAe4s15ZfIkRr8sZj4S397ZH8SoCMr/22MyQfgB3CLiBw5EMMNnjXGpEObmNYA+AcAHOu1dJHXoLMAJmrcwM8icgti5LUTkQKXf65K0hXANQCWmMCUVAAPA+hf0vvUhWoD+CrwfkwE8LGIfG+MmQvgM2PMjQDWQgf0uk7gouUsHP76lPgd4xbGmE8A9ABQwxizAcBjAIaj5NfrO+hI+lUAsgBcX+bxAy2LREREFEPc1ERPREREQWKAJyIiikEM8ERERDGIAZ6IiCgGMcATERHFIAZ4IiKiGMQAT0REFIMY4ImIiGLQ/wNLL5Gmp5z0jwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "41109.985511861494\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 7.202 13.6  ]\n",
+      " [14.396 27.2  ]\n",
+      " [21.606 40.8  ]\n",
+      " [28.792 54.4  ]\n",
+      " [36.    68.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "49514.429198192825\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -6.598 -11.2  ]\n",
+      " [-13.204 -22.4  ]\n",
+      " [-19.794 -33.6  ]\n",
+      " [-26.408 -44.8  ]\n",
+      " [-33.    -56.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "43.41167447673334\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -4.998   6.6  ]\n",
+      " [-10.004  13.2  ]\n",
+      " [-14.994  19.8  ]\n",
+      " [-20.008  26.4  ]\n",
+      " [-25.     33.   ]])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAHiCAYAAAAEZd6CAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAB1vklEQVR4nO3ddZhVVffA8e+eLkoaUTqkxREQEMFEUPFFBQVUjBc7sF6sn/Xia2MHFgaiKCaKopRSyoAICNKCpITEdO3fH2sGBpi6M+fcc2N9nuc+c+fGOWvmxjp7n73XNtZalFJKKRVaIrwOQCmllFLO0wSvlFJKhSBN8EoppVQI0gSvlFJKhSBN8EoppVQI0gSvlFJKhSBN8EqpUhljhhtjZnsdh1LKN5rglQpSxpiexpi5xpi9xpjdxpg5xpgTAyCuscaYlcaYfGPM8MPuizXGjDHGbDHG/GOMedkYE+1RqEqFNE3wSgUhY0xVYDLwAnAUcDTwEJDlZVwFfgOuBxYVc98oIBloB7QEOgP3+S80pcKHJnilglNLAGvtBGttnrU2w1o71Vq7pPABxpgrjTErClrK3xljGhW5r7Ux5vuClv9KY8ygIvfVNMZ8aYzZZ4z5BWjmS2DW2pestdOAzGLuPhd43lq721q7A3geuNK3P10pVR6a4JUKTquAPGPMO8aYs40xNYreaYwZANwDDARqAz8BEwruSwS+Bz4A6gAXAy8bY9oUPP0lJDnXR5LvlYdte7IxZlQlYjeHXW9ojKlWie0ppYqhCV6pIGSt3Qf0BCzwOrCjoNVdt+Ah1wL/s9ausNbmAo8CnQpa8ecAf1pr37bW5lprfwUmARcZYyKBC4D/s9amWWuXAe8ctu9zrLWPVTD0b4FbjDG1jTH1gJsLbk+o4PaUUiXQBK9UkCpI3sOttQ2Rc9oNgGcL7m4EPGeM2WOM2QPsRlrLRxfc17XwvoL7hwL1kNZ+FPBXkV1tcDDs0cCvwGJgLvA5kANsd3AfSik0wSsVEqy1fwDjkEQPkqCvsdZWL3KJt9bOLbhv1mH3JVlrrwN2ALnAMUU2f6yDcWZYa2+01h5trW0K7AIWWmvzndqHUkpoglcqCBUMkrvdGNOw4PdjgEuA+QUPeRW42xjTtuD+asaYiwrumwy0NMZcaoyJLricaIw5zlqbB3wKPGiMSSg4L3+5j7HFGGPikB6DaGNMnDEmouC+o40xDYzoBtwPPFCpf4ZSqlia4JUKTvuBrsDPxpg0JLEvA24HsNZ+BjwOfGiM2Vdw39kF9+0HzkQG120BthU8NrZg2zcCSQW3jwPeLrpjY8wUY8w9pcQ2FcgAugNjC673KrivGdI1n4ac2x9lrZ1akX+AUqp0xlrrdQxKKaWUcpi24JVSSqkQ5EiCN8a8ZYz52xizrMhtRxUU0lhd8LNGwe3GGPO8MWaNMWaJMaazEzEopZRS6iCnWvDjgL6H3TYKmGatbQFMK/gd5Dxgi4LLCOAVh2JQSimlVAFHEry19kdknm1RAzhYIOMd4Pwit79rxXygujGmvhNxKKWUUkq4eQ6+rrV2a8H1bUBhha2jObSIxqaC25RSSinlkCh/7MRaa40xPg3XN8aMQLrwSUxMPKF169auxKb8xFpYtQrS0uS606pVg+bNnd+uUqHu118hvwJ1hoyBqlX1c+eihQsX7rTW1q7o891M8NuNMfWttVsLuuD/Lrh9M4dWyWpYcNshrLVjkTm0JCcn25SUFBdDVa7Kzob+/SEvz53kDpCVBR99BM18WvhMKVW3Lvz9d9mPO5y18rn74gs4Wjth3WCMqVSZaDe76L/kYAWsy4Evitx+WZFKVnuLdOWrUJObC+efD3PmQEaGu/sZPdq97SsVqqpWrfhzo6Nh3jznYlGOcmqa3ARgHtDKGLPJGHMV8BhwhjFmNXB6we8A3wDrgDXIKljXOxGDCkB5eXDRRTBzprvJHSTBT5gAO3a4ux+lQk316hV/bmoqLFrkWCjKWY500VtrLynhrtOKeawFbnBivyqA5efD0KEwdar7yb2QtTBmDDz6qH/2p1QoqFmz4s9NSoLjj3cuFuUorWSnnGctXHEFfPUVpKf7b79ZWfDCCzKQTylVPrVqVfy5WVlw+unOxaIcpQleOctaGDECPvnEv8m9UH4+vP66//erVLCqW7fsx5SkWTOoUcO5WJSjNMEr51gLN98MH3zgTXIH2e+jj8o5eaVU2WrXhshI358XFQUXXOB8PMoxmuCVM6yFu+6Ct97yLrkXysiAiRO9jUGpYFGjBsTE+P68+HiZ/qoCliZ45Yz774eXX/Y+uYOM7H3gAffm3Cv3pKbCmWdCvXpwzz2wd6/XEYW+GjWkNe6LmBiZXnfiie7EpByhCV5V3n//K6PXAyG5F9q6FX74wesolC+2b5eE8dNPcv1//5Nplspd1atDhA+pIDFRBtYtXVqxrn3lN5rgVeU8+aR8EQdScgcZSX///V5Hocpr5Uro2FF+RkXJ1K3bb5deIeWuli2l2mTVqlJ+tiTGQEICPP00TJ6sg+uCgF9q0asQ9fzz8OCDgZfcCy1ZIkU4Onf2OhJVmh07oEsXmXI1eDBccw306uVbq1JVXOPGsHs3zJoFn34qpWf37ZNTXJmZ8pjERKhfH778Eo47ztNwVfkZGwTnKbUWfQB67TUYOdJ/RWwqwhg45xz5UlKBbepUOPlkGbilvLd6NXz9NXz7rbTwu3aVEfNxcV5HFlaMMQuttckVfr4meOWzcePg+usDO7kXiouD5cuhSROvI1FKKZ9UNsFrH5jyzYQJwZPcQebDa+lapVQY0gSvym/SJLjqquBJ7iAJ/v33YedOryNRSim/0gSvyuerr+DSS4MruRf13HNeR6CUUn6lCV6VbdYsGd0crMkdZIS2UkqFEU3wqmzr1pU+PzbQxcfrnHilVNjRBK/KNnw4nHCC7+UsA0FiIrz4IlSp4nUkSinlV0H4ja38zhj46CNo3VoKYAQLY6BVK7jkEq8jCQp//PEH/QcMJKeMlfhG3XkH1187wk9RKaUqShO8Kp/69eHtt2WgXaBWrjtcXJzEHMynF/zojz/+YI+NI7bPv0t8TPrKOfw0Z44meKWCgCZ4VX4DB8LHH8NnnwX+oLXYWDkY6dDB60iCSlRsIjG1ji3x/qzNfwB7/BaPUqri9By88s3YsbL6VKCLi4PHH/c6CqWU8owmeOWbKlWk4E0g1wxPTJQVr4LhQEQppVyiCV75rkcPuPFGWToyEDVuDFdc4XUUSinlKU3wqmJGj4Zjjw28AWzx8bIYji41qpQKc/otqComOloG2wVSV31MDFx4ISRXePElpZQKGZrgVcW1bg3/+5+c8w4EMTHwzDNeR6GUUgFBE7yqnJtugs6dva9yl5goBxu1ankbh1JKBQhN8KpyCqvceT3grkEDuO46b2NQSqkAogleVV5hlTuvknx8vOw/MtKb/SulVADSBK+cMXAgnHeeVJDzp6go6N9fpu4ppVSo+OmnSm9CE7xyjj+r3FWpIoPqunWT1eKUUioULF4MvXpB376V3pQmeOWcwip3cXGQlOT89qtWlW337w+vvw47dshRbt26zu9LKaX8ac0aGDAAuneH2bMdWdRLF5tRzurRA9avh6lT4ZNPYPp0KTqTkQFlLEN6hMhIOa8fESFv/EsugT59/H8aQCml3LJlC9x9N0ycCDk5kJfn2KY1wSvn1asHl10ml7w8WLgQJk+W1v2aNZKg9+8v/rkxMXJevVo1GDwYBg2Crl21Mp1SKrTs3g0PPwyvvSbfkzk5ju9CE7xyV2QkdOkil4cfljf199/Dp5/Cd98dPFrNyZEa8sOGwQUXSBGdQCuDq5RSlZWWJothPfGEfP9lZrq2K03wyr+OOkpa5oMHg7WwZAksXQq9e0PDhl5Hp5RS7sjOhldegQcekOsZGa7vUhO88o4x0LGjXJRSKhTl5cH48XDnndJ6T0vz2641wSullFJOsxa++gpuuUVm/PgxsRfSBK9UmNm3bx/pxUzB+eeff8r1/Iz0DLZt23bE7ZGRkdSuXbvS8SkV9GbNknU61q3zJLEX0gSvVJjp0DmZ7dv/JrKYBYKSOp1d6nOjax7N919/QPPj2h1xX8b+PaxYvpyWLVs6FqtSQWXRIrj5Zvj1V0fmsVeWJnilwkybNm3Z3/wsqnTyvVJWXMO2xF0z7ojbc/fvxL53C40aNXIgQqWCzKpVcNttUvcjM1O65wOATi72h5ycgHnBlbrysqFErJ/n6DbTV87h3PPOI1aLEKlwsmkTXHqpDBT+9lsZGR9A3/Wa4N02f76sUV6lihRsufNO+PhjOTcTQG8EFT769etH2uZV5KWV75x7eZh1c7ni0qGObU+pgLZrl3TFt2wpy2VnZjpagc4p2kXvpq+/lkpshedifvkFFiyQZJ+bKwm+TRs4+WRZNOWEE6BpU63aplyVkJBA3379mLVyDlU6n1Pp7eXs2UbOP1s59dRTHYhOqQCWmgpPPQVPPikJPSvL64hKpQneLW++KaMoDy9mYC3s23fw94ULZWDGm29Cfr68aY47Dnr2PJj0W7TQpK8cdcWlQ/lx5H3gQILPXDmbgQMHEh0d7UBkSgWgrCwpUvPgg34rUuMETfBOsxZGj4ZHHy3/m8DaQ2uz//qrXMaNk6SfmwutWknSP+kk6NxZSrlq0lcVdOaZZ5K54zLi9u0kqmqtSm3Lrp3L5f/3qkORKRVA8vLgvffgrrukJ9bDKW8VoRnCSfn5cN118L//OXOEt3+/vKGysqSk68svy/Y7d5bz+EpVUGxsLOeedx7pK3+q1HZydm3Cpv9Dr169HIpMqQBgLXz2GTRrBjfe6FmhmspyNcEbY1oZYxYXuewzxtxqjHnQGLO5yO393IzDL7Ky4F//kqM9N+c/pqbKamx16ri3DxUWrrh0KGbd3EptI3PlTwweNJjIyEiHolLKYzNmQPv2Mjp+w4agTOyFXO2it9auBDoBGGMigc3AZ8AVwBhr7VNu7t+v7r1X1kB3cWWgAzIyIDnZ/f2okHbqqaeSu/dvcvZsI7p6PZ+fb60lf+1cLnvsfReiU8rPFi6UkfG//RbUSb0of3bRnwastdZu8OM+/WPbNuk+90dyB2jQQEbiK1UJUVFRDBw4kIw/KtZNn7NzA9H52XTr1s3hyJTyo5UroV8/mc00d27IJHfwb4K/GJhQ5PcbjTFLjDFvGWNqHP5gY8wIY0yKMSZlx44d/ouyIl55xb9zIHv08N++VEgbfulQqGA3fdYfP3HJJYOJ0MGeKhj99RcMHQqdOsF33wXNyHhf+OWTaYyJAc4DCkeGvQI0Q7rvtwJPH/4ca+1Ya22ytTY54BewqFMH/HUOMjERdL6xckjPnj0hYy85u/7y6XnWWnLXzOGyoUNcikwpl+zcKQPnWrWSwcqZmTJAOgT569D7bGCRtXY7gLV2u7U2z1qbD7wOdPFTHO448UTw1xxgY6QinlIOiIyMZPDgwWSunO3T87K3rSExNorOnTu7FJlSDtu/H+6/Hxo1gjfekBZ7To7XUbnKXwn+Eop0zxtj6he571/AMj/F4Y4OHfy3clBurhTCUcohlw29hLw1c7A+lE7OWT2bS4degjHGxciUckBWFjzzDDRsCE8/Ld/VAV6BzimuJ3hjTCJwBvBpkZufMMYsNcYsAfoAI92Ow1VxcXDssf7ZV9u2/jsdoMJCt27diCGXnB3ry/V4a/PJWjWHS7V7XgWyvDx46y1J7P/3f1JBNATPs5fG9Up21to0oOZht13q9n79rls3WUDGTRERev5dOc4Yw7AhF/POvNnE1Gla5uOzNv9BzepVadfuyDXhlfJcYZGaW2+F3btDalS8r3T4q1N69YL4eHf3kZQkUzkCzdq1MiJVBa1hQy4hd3X5uulzV8/m8ku19a4C0PTp0K4dXHaZfCeFcXIHTfDOSU6GKJc7RLKyAnOA3eDB8OyzXkehKuH4448nKSGW7G2rS32czc8jc9Vchl5yiZ8iCxDWwvLlXkehSpKXB927w3nnyesU5om9kCZ4p7Rr536hm6pVA69E7U8/SQUoHfgX1IwxXDbkYrJXlT6aPuuv32nQoD4tW7b0U2QBYsoUGf9iDKwu/SBIeSAnR8rK+muwc5DQBO+U2Fho3NjdfXQJwNmEo0bJzxYtvI1DVdqwoUPIXjUHmb1avNw1s7liWBh2z/frB3PmyPWWLeGii7yNRx0qLg5mztQKn4fRBO+k7t3d23ZsLJx+unvbr4hffoHFiyEmRhN8CGjbti21atYga/OKYu+3ebmkr5zLJZdc7OfIAkT37lIQ5f334YILvI5GHa5FC5g82f2xUEFEE7yTTj4ZEhLc2XZsrIzUDyR3332wS6x+/dIfq4LC8GFDyF01p9j7Mjf8RtNmzWjsdk9VIDNGypteHKYHOYHu5JPhtdfc+x4OMprgnZSc7N4c9YwMOP54d7ZdEb/9BvPmyfWjj5YvPhX0hlxyMRmr5mDzj1xbIW/NbK68bKgHUSnlg0svlSlymuQ1wTuqTRv3Bto1bSqt+EBxzz0H/9ZWrbyNRTmmRYsWNGx4NJkblx5yu83NIW31zwweNMijyJTywX//C2efHfbd9ZrgnRQdDc2bu7Pt3r3d2W5FrFgBM2bI1CGAjh29jUc56spLh5K35tBu+oz1C2nTph1HH320R1Ep5QNjYPx4aXT5a52QAKQJ3mluDLSrUkUK6QSK+++H7Gy5npioU+RCzMUXDyZ91TxsXu6B2+zauVx1uXbPqyASGwtTp8rU4jA9hagJ3mk9e0rSc1JeXuAMsFu7Fr7+WmICGXOgI+hDSqNGjWjWvAWZfy4GID87k/2rf+HCCy/0NjClfHXUUWE9fU4TvNOSkw92XTslIgKaNHF2mxX1wAOHLrGYlaUJPgRddflQ8tZKN33G2gV0Tj6ROoFWZEmp8mjeHL75JizPx2uCd9pxx0lRjPr1pXVbpYpcIirxrz7++MDoYtq4ESZNOth6B/m7atXyLiblikEXXUTaqp+xudmwbi5Xau15Faj+/LPsdd179IDXXw+7kfWa4J0WGQkffwxbtkg95Llz4Y03ZNR5376yrGxUlCwcU7Vq2dPqoqICp8DNww8fmtwBjjkmMA4+lKMaNGhA2/YdSPtjNvvXLWLgwIFeh6TUQXl58MUX0mPaqpU0qJ56CvbvL/k5Q4fCnXeGVZI35Vk9ymvJyck2JSXF6zCck5srS8suXw7Llkkt96VLpYUcHS1JPSNDjkoTE+Hzz71P8lu3ylS9w6cBnneefNBUyHnllVe4+Y5RnNyjO9OnTvE6HKXke/HVV+Hxx6UBlZp68L6EBGlsXHcd3H471Kt35POthUsugS+/DIq14Q0stNYmV/j5muADSH6+LJiwYgX8/jukpMA//0i3uNeDRG68Ubq4CkfPg3yY7rtPWvYq5OzYsYN69evzzrhxDBs2zOtwlIIff4RTTin9MbGx8t10wQUy4+fwOh3Z2VLxbvHiQ7/PApAmeOW+HTugUaMjj3iTkqQs5BA9Pxuqfv/9d5o1a0ZcXJzXoSglLfCRI6WxUdbKcZGR0iPao4c0QopOYf7nH6nfsXmzNKwCVGUTvJ6DV2V74oniPwQRETqCPsS1bdtWk7sKHMbAmDFSjrasc+l5eXJKcdo0OPNM6NBBTifm50ONGmExfU4TvCrdP//Ayy/LdLjDZWRogldK+Zcx8MorMHhw+QfMpaXJOKdhw2Sg89ix0KABTJkSuNPnHIhLE7wq3TPPlNyFFRsL1av7NRyllMIYmZ30r3/5Nio+NVW65W+7TQbh/fCDfMcFUpKPjpYCPd9/X+lN6Tl4VbJ9++QoNy2t+PvbtJHBgIFkyxaoWTOwFuZRSrkjP19a8t98U/Y5+eIUJvbYWBlwV5FtOCkhQeqefPYZ1K6NMUbPwSuXvPBC6QNQAq0G/WefyWDAESO8jkQp5Q8REfDhh3DGGRVrhWdkyCUtTRJ8VJTzMZZXfLz0LMyaBbVrO7JJTfCl2bFDztV07y6FFHbs8Doi/0lPl8F1Jc0VjYyETp38GlKpxo6VQha5uVJoaMkSryNSSvlDYXGxU06peFd7To58d+Tmlv1Yp0VFQbVq8NVX8MgjZRc/84Em+MNt3iwt1xNOkCptI0fCvHmwe7esMRwuXnml9Dd7QgK0bOm/eEpirXwoRo48eDCSlSXTaJRS4SE6WkbId+8eWOfTy5KQIKP7ly+H005zfPN6Dh5g/Xo5AnznHVktLSKi+JZrfLzUPQ71RTcyM6XHYs+ekh9Ttap0JXnZis/Ph5tugnHjjjx3VrOm9LhoGV2lwkdWlnTXL1hwZNXNQBMfD9dcA08+WeKpgcqeg/fwhIPH/vgDJk6Ed9+VVjuU/YbIz4fRo+G559yPz0tvvVX24g3p6bJKk1dycqTk5JQpxQ+MycqSSoAnnuj/2JRS3oiNhe++g1NPlUp1gZjkIyKkBPn770upbxeFVwv+t99kQMb48bBzpxRC8LVUYai34nNyZOT8zp2lP65atdJb+G5KS4P+/eUovaRRr5GR0rofM0Yef8EFkvTr1pW/r25daeUffjnqKIiJ8e/fo5RyVlqanJNftqz4Gh5eiY+Xpb+//hoaNy7z4dqCL68xY+Deew8OpqiovDw5F//8887FFkjefbd8izCU483pit27oU8fWLWq9KPzvDyYMEHmuH72Gfz006EHA1FRksijoqQbPz9f3hdZWXI+LylJ5vgfdZSMaK1XTw4MateWA4G6daWVULgM8I4dsmyunhJQynuJiTBjBvTsKb21gVBzPiFBBgK/8IL/pvFaawP+csIJJ9hKWb/e2oQEa2VIVuUv8fHWbttWuZgCUW6utfXrl+9/MGSI/+P76y9rGzWyNiamfDEmJlq7aJG13bs799rHxlqblCTvpzfflLhmzLA2Ls7aV17x//9EKVWyPXusbdOm/N8ZblyMke+iCRN8Dh9IsZXIneExiv6bb5xdUKCwFR9qPvyw9PWUC0VFychPf1q5Ejp3hk2byn80npUlPTcLFzoXR1aWVMNKT5fegc8/l9MFubnycVZKBY5q1WD2bOlxjI72//7j4qRLftEiuPhiv+8+PBJ81arOFjDIzoY334Tt253bptfy8+Geew5dX7k40dHyobnkEv/EBXKuvWvXg+Mmyis3F95772A3utPWrZOV9NLTpbvfiy8QpVTpatSAOXNk2rM/C9kkJEgp3aVLPZtSHB4Jvnp1R4sHAJJoHnnE2W166dNP5fx2aRISpBW9fLks2OAPU6dC796wd2/FWsjx8eUbU1ARhVWwQM69a4JXKjDVqiX1TBo08E+Sj4+Xc+0ffOBbrXyHhU+Cd1phK37bNue37W/Wwt13l956j4+HG26QI2F/zSD48EM4//zK1Yd2K7kfThO8UoGtTh2YP18GyDrd4Dtcv35w5ZXu7qMcwiPB16jhzvnR/PzQaMV/803JByoREbJm8sSJUrrW7Q9GoRdekA+IvxJ0ZWmCVyrw1a8vSb52bfdO3UHALKMdHgm+enV3agxnZ0tRmGBuxVsLd91VfOs9Pl7OHS1ZAuec47947rkHRo0KnuQOmuCVChYNG0qSr1nTnWmt8fH+O4VZhvBJ8G7Ngwz2Vvy0abBhw5G3JyTIMoy//uq/Oe95eXD11VIp0OtlGytCE7xSwaFRIzknX6OG80k+OloOIgJAeCT4hARnp8kVlZ0Nb78NW7e6s323/ec/R673npAAL78sf1dcnH/iyMqS8+0ffhicyV1b8EoFl2bNYO5cd8ZoHX2089usgPBI8Ma4O5IxLw8efti97bvlp5+kylOh2Fh5Y86fD5df7r849u+X6nTTpgVnci+kCV6p4NKqlcyTr1bNuW1mZ2sL3u+Sktzbdna2rGgWbK34UaMOJtTERFmucPlyaN/efzHs2AHdukkhiGA65364vDxZlVApFVzatIEff5R6KU7IyZFpeQEgfBK8Uy9eSfLz4aGH3N2Hk375Rbqn4uJkIN3zz8Pkye7/n4rasEHm1a9eHVgLQlREamrorzKoVKjq0EFq1zvREKxRw90R+j4IjCj8wckumOJkZ0tRg2BRt66stjZ/vpSBvfJK/y6U8vvvcMIJsGVL2UvTBovVq+XvUkoFn86d5TRhYmLltlO3rjPxOCB8EnzNmu5uPz5eyqIGi0aNpNXesaP/9z1vHpx0Euza5d7gRy9kZ8v8faVUcOrSRdaTr0ySb9So5Pv8PKU6fBK8m+dEEhPhiy9gwAD39hEqvvkGTj+9fIvaBJu8PHj//eAeS6BUuOvRQ9Zrr+jA7KZNi799xQoptDNsmN++/8InwScny/lmp9fhTUqSeulnnOHsdkPRu+/ChRcG90j5shgDn3zidRRKqco45RRZKdLXJB8TU3KCj4iQ7U2aJJXu5sypdJhlCZ8Ef8stcn70gQfkn+tEsq9WTaaade/uTIyh7Kmn4NprQ791m5oqS9QqpYLbGWfAxx/7luQLpxoXJy5OGgCZmbIS6RlnwO23u1eEDT8keGPMn8aYpcaYxcaYlILbjjLGfG+MWV3ws4bbcQByZHX33bBqFSxbBvffD82by/lzX5J9RISc058/Hzp1ci3ckGAt3HGHHFiFenIv5OHqUUopB/XrJ4On4+PL9/iIiJLnwMfHH7rcdUYGvPoqtGsn+cgF/mrB97HWdrLWJhf8PgqYZq1tAUwr+N2/mjWDe++Vkc9LlsB998kBQFnJPjJSRkmmpEDr1v6LNxjl5sKll8Irr4R2t3xRSUlw661eR6GUcsqAAfDOO+VL8jk5JbfgD0/wIN+Lq1fL4L4nnnB80LGxbqyyVnQHxvwJJFtrdxa5bSXQ21q71RhTH5hprW1V0jaSk5NtSkqKq3EesHq1lEstLFyTl3ewCyU6WtYTnjtXfqqSZWbKB2P2bP8ld2PcWTXQF0lJMjsgJsbbOJRSzho/Hv7979J7IiMi5P7iPv85OdJ4LOk7KiFBWvMff3xgsRpjzMIiDWOf+aMFb4GpxpiFxpgRBbfVtdYWln3bBgTOxMEWLaTrfu1aWWjlnnugSRNJ7i1aSMtdk3vp9u6Fk0+W6lD+SO6FxSm8Tu5RUXDZZZrclQpFQ4fCSy+V3pJPSir58x8dXXqtkfR0WLhQKuu9844j32f+SPA9rbWdgbOBG4wxvYreaaUL4Yi/xBgzwhiTYoxJ2bFjhx/CLEarVnLueN062LgRli4NmBKEAWvbNpmxsGSJtOL9oUoVORDz+tx3dDRcf723MSil3HPFFTKItqTvmjp1Sn9+WetV5OXJ4l/XX+/IEt2uJ3hr7eaCn38DnwFdgO0FXfMU/Py7mOeNtdYmW2uTa9eu7XaYZatXL2DKDwastWulGtSff7o6MvQQSUnw+OPwf//nzqpQvmjcGNq29TYGpZS7rrkGHn20+CRf1ipy5V2QKj1dCu5UkqsZyxiTaIypUngdOBNYBnwJFC5XdjnwhZtxKD9YvFha7tu2yeA6f6leHYYMkXNb48Z504qPjJRuu7vu8v++lVL+d8st8OCDR37flDQHvlB5T98lJMgA5Upyu0laF5htjPkN+AX42lr7LfAYcIYxZjVwesHvKljNmiXn3Pfs8e958KQkGXkaGSm/n3GGrIgXFeWf/VepIovzXHONDLz05xK7Silv3XmnTLsuTPIRETI7qzTlmY4dHy/fa2+/XekQXf0mtNauA44odm6t3QWc5ua+lZ98/rkMPvFiGlzNmjBo0KG3vfqqjJ1ITXVnn4mJ0kNxxhlw3XVw5pn+O6BQSgWW++6T05FPPy2Nm2OOKf3xpSX4iAhptHz1FfTqVfLjfKDfTKriXn9duqq8KGCTlARPPnmw9V6oQQOYPl1a8k7Ve46NldGvrVvDDTfARRe5vzqhUio4PPywfAc+9VTZ5+BLSvCxsVIg54cfZCyPQzTBK99ZK4NMHn3Uu+p0derABRcUf9+JJ0qd5169ZMpeRU4bRERIV1nVqjL3dfhwmS6plFKHe+IJ6N9fVsksTXFT7BISoHdvmDix8kvVHkYTvPJNfr602t96y7vqdElJcrRc2qyG9u1hwQK4+mr45ZfyH4hUqSJ/46BBMGIEdO1a+txVpZQyRpJ0WQ5P8PHxUo/+oYdc+Z7RBK/KLydHzrd//bW3pWfr14fzzy/7cc2bw8yZ8PPPcNttMtK/uLgTEmT+ac+eMv+0f3/nVx1USqmio+4TEuC992DgQNd2pwlelU96uhRe+Plnb5N7YiI884xvR7tdu0qX/ezZMHIkLF8uBytRUdCokZxXv/hiLWKklHJXQoL0PNauDd9/Lz2NLtIEr8r2zz/Qpw+sXOm/6nQlOfZYaWFXRM+e0m0/Y4Ys8ztokC4YpJTyn06dYMcOGSnvhwaF64vNOMGvi82oQ23eLHPcN2/2X3W6kiQmwiefQN++3sahlFJ+UNnFZrQFr0q2apUk9127jlzm0AtNm8JZZ3kdhVJKBQUtrq6Kl5IiaxTv2BEYyb0i596VUiqMaQteHSk3V1ruXp9vL6plSyleo5RSqly0Ba+OFBUl1ZkSEo6sFOcFbb0rpZTPtAWvinfnnTB4MIweLaPorZUCMPn5B68ffpu10p1feL3o7aXdV9L1wt+7di1fEQmllFIHaIJXJTv2WHjtNa+jUEopVQHaRa+UUkqFIE3wSimlVAjSBK+UUkqFIE3wSimlVAjSBK+UUkqFIE3wSimlVAjSBK+UUkqFIE3wSimlVAjSBK+UUkqFIE3wSimlVAjSBK+UUkqFIE3wqnxee00WfJkyRRaBUUopFdA0wavS5ebCNdfAbbfBrFkwaBA0bw7jx8t9SimlApImeFWyPXugTx94/31IT5fbUlNh3Tq49lpo0ACef/7gfUoppQKGJnhVvDVroEMH+OWX4hN4airs2AH33AP16sEDD8gBgVJKqYCgCV4dafp06NwZNm2C7OzSH5uWBvv3w+OPwwUX+Cc+pZRSZdIErw710ktwzjmStH0ZTJeVBXPnwooV7sUWQLLzsjn7/bM5+/2zSc1OPXA9O6+MAyKllPITTfBK5ObCv/8Nd90FGRkV20ZODjzyiLNxBagBEwYwa8Mspk0+ipp9X2b6TxnM2jCLARMGeB2aUkoBEOV1ACoA/PMP9O8Pv/1WuQFzeXnw2WewdSvUr+9cfAEqb20vcj56H7Dw043EXNkPGnkdlVJKCW3Bh7tVq6B9e1i40JnR8Pn58NRTld9OgPt40MeYLScB+UAE5MZiNvThk0GfeB2aUkoBmuDD2/ffwwknwJYtZQ+mK6/sbCmKs3+/M9sLUBdNvAjbaAZEZVGY5PMi0rhw4oVeh6aUKo+vvoIzzoBvvgnZ4l2a4MPVc8/BgAEy3c3pN7e1kuRDXOSxvxBzZT9iT3sMjlpL7sxRpO+o43VYSqmyfPABDB4MP/wgP5s1g/fek3FEIUQTfLjJyYErr5T56xUdTFeW9HR47LGQ+7AU9cUlX3BKo1M49eR4dn5zM73ueZQoE0Pq+LfJzPQ6OqVUicaOhauvPvj9l5oK69fD9ddL8a5nnpHpvyHA2CDomkhOTrYpKSlehxH8du+Gfv1gyRL3knuhpCR4+WW49FLntrl/P8yfLyVzv/sOunWDF15wbvuV9NVXcN558t3x+uteR6OUOsLTT8P995f+/ZeQABERcOONUqK7dm3/xXcYY8xCa21yhZ+vCT6MdO4My5b5r2XdqRP8+mvFn//XXzBnjhTemTZNfo+Pl6PrvDyIjYXNm6FmTcdCrqx774VHH4U335SOEqVUALAWHnxQBgCXdzBxXBwYA0OGSI9n06auhlicyiZ47aIPJ1ddBVF+mhkZEQHHH1/+x+flyTS9F1+UZnCtWtCyJYwYIc3hdevkwGTfPnksQGSk1MkPIA8/DKefLr19ixZ5HY1SCmth5EjfkjtAZqa09N95B9q2le+lyjRYPKAt+HAzYYIken900U+dCiedVPz9aWnw88/w44/S3b54sRx85OX5Flvz5rB6tSMhO2XHDpmcEBkpsw+POsrriJQKU/n5cs7so48qPw3YGGnVd+wI//0vnHqq3OYi7aJXvvvuO6kb7+ZAknr1ZPpd4Qdg61bpbp82TS5//ind7enplVt2NiFBttupkxNRO+bnn+Hkk6U1P3mydGgopfwoN1e617/+2vkVLxMT4eijpcvuwgvlaN4F2kWvfHfWWZJkq1Z1Z/sxMXLUXJjcZ86EJk3kpPSrr0qLu7C7vbJrymdlwSuvVDpkp3XtKjMRp0wJm+q9SgWOrCw491w5unZjOeu0NCkSdvXV0LChDCh2u1e0ArQFH86WL4devaRUbX6+c9uNi4Pff5dBKdZKl9bSpc5t/3BJSbBzpwy6CyDWwuWXyzCBb76Bvn29jkipMJCeLh+2lBT/Jd3ERGnF33Yb3Hwz1KjhyGa1Ba8qrk0bOUncoAFERzu33RYtDo44nTJFBsi5yRiZoxZgjJEOi/btpafwzz+9jkipELdvnzRaFizwb4s6LU32/dhj0nV/ww0y68djmuDDXaNGMty7eXNnWsCJiTKEHKRX4NZb3S8asX+/9IcHoIQEmDRJ/hUXXogWwVHKLbt3y6DepUu9+6AVjrx//XWZBTRokPRmesS1BG+MOcYYM8MYs9wY87sx5paC2x80xmw2xiwuuPRzKwZVTrVry6iwTp1k4Ftl5OZK6UeATz+VgXb+sGCBzIkPQM2bw7vvSmfJTTd5HY1SIWjbNkhOlvE9Tq2rURk5OZLsJ02CE0+EPn1g9my/17x3swWfC9xurW0DdANuMMa0KbhvjLW2U8HlGxdjUOVVpYpUiOvdW5qdFXXKKXL+KS8Pbr/dvyUf337bf/vy0XnnSa2MN96At97yOhqlQsjGjZLc//or8Mpj5+dLi37mTBnc3KEDfPGFs2OeSuFagrfWbrXWLiq4vh9YARzt1v6UA2Jj5Vz2BRdULMknJUkZN5D59rt2ORtfabKyZCRrAA8a1SI4Sjls9WpJ7lu3Vn5GjtvS06WS6NCh8O9/+2WXfjkHb4xpDBwP/Fxw043GmCXGmLeMMc4MN1TOiIyUyk3XX1/+JB8RIa32OXOkwktODtx1l/8XbNi/H+bO9e8+fRAZKYtY1akjx1C7d3sdkVJBbOlSmY+6c6ffWsSOSEvz23Larid4Y0wSMAm41Vq7D3gFaAZ0ArYCT5fwvBHGmBRjTMqOHTvcDlMVZQw8+SQ89FDp5+RjY2VK3EUXSZO0Qwe5fdw4GVHqb2lpUuo2gNWuDR9/LMMFLr00uL6XlAoYKSnQs6dM8Q3gXrsSNWrkl924muCNMdFIch9vrf0UwFq73VqbZ63NB14HuhT3XGvtWGttsrU2ubaHq/mEtTvukCIyhyf5xETpjr/5Zllm8cMPoXFjuS8rS042e7HcorVyfis11f/79kFhEZxvvpGKl0opH/z0k4wV8qIR4YSYGJlK5wdujqI3wJvACmvtM0Vur1/kYf8ClrkVg3LA5ZfDxImS5KOi4Jhj4PHHZdTqE09ISdqiXnvN24pOkZHSRA5w114rLfgHH4Rvv/U6GqWCxLffShGbYF6vPTYW6tb1y65cq2RnjOkJ/AQsBQo7Iu8BLkG65y3wJ3CNtXZradvSSnYBYPdu6Y4v7bx8erocme7Z47ewilXZZWr9JD1dpu3+9Zec4SjsBFFKFWPSJDkqDsCSsD6pVg0++0ymzpWhspXsXFs71Fo7GyhuqR2dFheMyrMk2vPPB8Yc1D/+gDVrZAJ6ACssgpOcLEVwZs+WYyil1GHefVe6vYI9uYMMvPFTC14r2Sln7N8vU+TcWNjBV3l5UkkqCGgRHKXK8NJLoZPcQRpBmuBVUHnqqcCZh5qTIwk+L8/rSMrlvPPg7ru1CI5SR3j0UZlyGyrJHeR70qHFaMqiCV5V3j//wNNPB9aHMDcXfvjB6yjK7ZFH4LTTtAiOUoDMiBk1CkaPDoxeQSdVqSK1Q/xAE7yqvP/9L/Bay/v3y5iAIBEZKcX/atfWIjgqzFkrq7G98ELoJXeAmjX9titN8KpyduyQ4jKBuEzatGlBlSlr14ZPPtEiOGVat05adqefLnUa/FkSWbkrLw8uu0yqaYZicgcpZeknmuBV5Tz8cOBmosLasEFEi+CUYMMGqbvQqhW0ayfnNKZNk2JMRx8t5zd++83rKFVl5ORI99Wnn4Zucgdo2NBvu9IErypuyxYZGZaV5XUkxUtPD6pu+kJaBKfApk0ytqNtW2jdGh54AFatkrEehe+59HS5Pn26FBX497+9r8OgfJeZCf36wdSpoZ3cwW9lakETvKqM++8PvHPvh9u8OehadsbAq69C+/ay8NSff3odkR9t3SoHZR06yBzC+++H5cslAZR1GigjA957T75A33gjcHuW1KFSUw+ulx5IA3Xd4McytaAJXpVXXp7UnO/SRWpB//mndH8H2vrLh8vKkmwZZAqL4OTlSRGcQBzi4Jjt22Wuc+fO0KSJjJ5eulReO1+/8LOypEb5rbfKQcLCha6ErByyZ48sGvPrryH+Ji/gxzK1oAlelSUnR1aHa9QIrr4aFiyQQTCjRgXOvPfS5OXB++8HRoU9HxUtgnPzzV5H47CdO2XdghNPlPfWXXfJl3xFknpx0tLg99/h5JNlQIMKPDt2yKCTFSsC9zSf0yIi/JrgXStVq4JcVha8/bac90xLO3Rxh+3bZUGXYOkCNQa++koG8ASZwiI4//sfdOsGV17pdUSVsHu3DKB6801J5pGR7p9vzc+HtWvd3Yfy3ZYtMmZi69bA7wV0Un7+kQt0uUgTvDpURoa0rB55RJJ8cas2ZWTIkWhsbHAceRfOiQ/CBA/yUvzyixTB6dRJerKDxp498Pnnck48JUVWJPTnSmDWBs+BaLhYvx66d5cWfKCP4XGaH8vUgiZ4VSg1VQpLPP64HFGX1bKKjJQ14Y0JjnNnP/8srYYGDbyOxGeFRXA6d5ZjlIULy7f2j2f27YMvv5SW+rx5EB0t7y/w5oDQpRUzVQX88Yecc//nn/A88PJjmVrQc/Bqzx6Zj1W/vky83ru3fN2mOTnSEmvWLDiWQDNGxhIEqYAvgpOaKkchp58uhTyuuw5mzpSEXpjcvaAt+MCxeLGcZ9q1K3xfEz+WqQVN8KHHWhnlvmVL6Y/buxf+8x8puvDEE/Il7Ov50MKWe4cOgZ/kMzPh5ZeDujXXtSs8+2wAFsH59FOoVQuuuUaKz3id1IvSBB8Y5s+XAY9793odibf8WKYWNMGHnoEDoW9faNpUWtd33inzSw8f8T56NIwZI63wyoxa/vNPGfkVDEl+717pMg402dlyCmHMGCn20bo1/PVXsQ+97joYNizAiuA8/bQk9f37vY6keEF8UBcSpk2Tnp1AOejzkh/L1IIm+NBiLfz448HqXuvWHUwa1arJ1LZC69c7M3o1LU22+/nngZ/k09JkvrXXtm6VVu8tt0g1mypV4MwzZbj8lClSwS0lpdinGiNjIAOmCM7evSXGGhC0Be+tyZNlKog/B1YGMj+WqQVN8KHFGLj4YhmVVSgvT1pW6enwxRcHb9+61bn9ZmbKPK7p0yXJx8Y6t20nWQuffeb/L5u8PDk9cO65cjK9SRO44goZ1LhsmbTg9+07OAAtKwtWrixxcwFVBGfKlMB9vQtpC94bH34IgwaFfulZXxx7rF93pwk+1Fx+OcTHF39frVoHr+/Y4dw+MzPh9delWznQk3xkpIxW86eff5bW+uTJUuClsNpaSYknN1fmiZciYIrgvP9+4HbNg7bgvfLGG3LqLtRLz/oiJkZb8KqSTjxRmnjFKTr/0uklNrOzZaGPhASYMSNwk3xqqv8XoImOLvk1Kcny5WU+pLAIzuuvS00ivytc5CWQaYL3vzFj5KhTk/uh/FymFkIlwefmBkfBFX8wRuZRRRVT4qB+/YPX9+1zdr/5+dLq/PJLSEw8mOQD8Zz88uX+rW7WoYPvSWbTpnI97JFHZKXU668vs9HvvOnT5eAlkFmrXfT+9NBDcN99mtyL4+cytRAKCf7yy6V1dO21XkcSOC69VLqDioqLk1H1hfr29b1VWZa8PBkxCweTfPv2gZfk8/Ol2esvsbEwfHjZyTAiQgbcJSaWu9+9sAhOrVpSBOeffyofbrlNmOD8gaIbtAXvPmvhtttkyq2ecy9efr7fEzzW2oC/nHDCCbZYP/xgbXy8tbGx1n7zTfGPCUf5+dYefbS0XWJj5X90//3W5uQcfExenrW33Sb3HWznVPwSH2/tqFGH7sNaa1NTrU1OtjYuzpn9OHWpWdPa3Fz/vSZr1libmHhkHNHRcnutWtZed521M2ce+T8sh/nzZVP9+slL67q8PGurVvX+dSzP5f77/fAPCWN5edZedZW1CQnev9aBfImNtXbnTp/+tUCKtRXPnRV+oj8vxSb4nBxrGzeWP+GEEySpqYOmTLH29tutff55axctKvlx48ZVLslHR1tbo4a106eXvI9ATPJVqlj73XfO/99LM3u2tUlJ8n+Ii7O2aVNr77vP2sWLHXn/vvSS/GkPP+xArGWZO1f+h16/juW53HefH/4hYSonx9rBgzW5l+cSGenz0Xf4Jvjnn5fElJBg7bx5Pv3T1GHmzLG2WjVrIyJ8e8MmJFjbq5e1f/9d9j4CMcmfe67r/9ojLFli7QsvWLtuneObzs+3dtgwa42R4ztX3XKLfGF5/RqW53L33S7/M8JUVpZ0GWlyL9+lenWf/8WVTfDBeQ5+zx64916ZntWzp9Q3VhXXvTv89pvMzy7vyPf4ePi//5Pz7LVrl/34xESpTd62beCMrp861c8nrZExCTfeKP9rhxUWwWnXzuUiONbCRx8Fz0pgeg7eeRkZUpxpxgw9515eHqwQFZwJfscOeVPFxEhxblV5jRrJYhAnn1z64LvYWFnPeOZMqWXvy8IJiYkwa5ZkoEBI8pGR8MEHXkfhqMIiOLm5LhbBWbEiOAbXFQqWA5FgsX8/9Ool9R10tHz5+XuAHcGa4Js3lxZkjx5w3HFeRxM6kpLgu+9gxIjik3xCApxxhiz52KVLxfYRSEk+PV2qyYWYFi1cLoLzySdHrm0QyLQF75zdu+Gkk2Dp0uBYJjqQ+LnIDQRrgjdGjiILp2Qp50RESKGKl146tCJeQoIsKvLll1LXvjICJcnHx8uqe07U5A8wAwbIEgGuFMEZP14KGwULTfDO2L5dDuxXrdK6IxXh5zK1EKwJXrlv+HD4/nuoWlW673/+WWoNGOPM9gvPyXuR5JOSpOjPww/Dhg2BX6ylglwpgvPXX/I/CybaRV95f/0Fycny2ofgAbHrYmLg6KP9vltN8KpkPXrA5s2y8Em7ds5vPynJf0k+JkYK7vTpI13MmzbBHXdAjRru7tdDUVEuFMGZMyf4Doi0BV85a9dKct+6NbhOzQSSwrFLfqYJXpUuKcnd5FuY5N0aXZ+UJJcbbpDBYdOnw1ln+TY4MIjVrn3weGbYMAdyXfXqwfe/0wRfObNmybLA2hNScRER0mvp7936fY9KHS4pSb5EnEryEREyZuC44+DFF2XWxTPPQOPGld92EOraVSabfPMNjB5dyY0VXc8gWGhiqpwrroCbbnK+tHU4yc6Giy6Cfv38OgNFE7wKDE4k+fh46Ya/8ELZ1vLlslZBoNXC98B110kL/oEHZKJEhTVoEHwDrKz1OoLgZgw8+aQsIqNJvmIyMiTJT58upyT/+MMvu9UErwJHRZN8lSpQp44U3tm0SYqwJCe7F2cQKloEZ8iQSoyTq1Ur+Frx2oJ3xt13S09Y0dk1yjdZWfIdlZwMn37q+u40wavAUt4kHx0tLfOePWUk2ZYtMi+sZk3/xRpkHCmCYwy8805wteT0HLxzrrlG5l1qkq84ayEtTY60t2xxdVea4FXgKUzybdocmeQTE+VyzTWwbBn89BP07y9V6VSZCovgpKRUoghOr17yPw+W0fSa4J01eLC0PoPpIC8Qxca6PuVUE7wKTElJ8OOPkuRjYiSpt2gBzz0Hf/8tFeiKrm+vys2RIjgvvuh9JcLy0gTvvL59ZS2HpCSvIwle1so0ZBdpgleBqzDJ33MP/PCDzMe/6iptOTjgkUfg1FMrUQSnTh147DFPpv74TAfZuaNHD5g9WypbOlUAK5xkZ2uCV2EuKUmGfnfrpl8iDiosglOzZiWK4Fx7rSflN32mg+zc07EjLFgggy/1NJlvsrJg40ZXd6EJXqkwVadOJYvgREbCe+8F/oArTfDuatECFi2SKZTBMi4jUKxZ4+rmNcErFca6dZO1hSpcBOeEE2Q0cCCfj9cuevc1bCjLFzZrFtjvhUCjLXillJuuv76SRXCeeiqwiwnpIDv/qF1bFqVq3z6w3w+BZPt2VzevCV6pMFfpIjjVq8ushkAdcKdd9P5TtaoMjD3ppMA/dRMIdu1ytYdJE7xSqvJFcIYNk9r/gTgQUrvo/Ss+XrqC+vbVGS+liYuTg2MXe5g0wSulgEOL4Nxyi49PNkaeHIhds9pF73/R0TKC8+KLNckfzhg5CLr6ali1ytXZB54leGNMX2PMSmPMGmPMKK/iUEodVFgEZ+xYuOa/82j8bGMiHoqg8bONGb90fOlPPu44WdUm0LpmNcF7IyIC3nhDBnlokheJiXL6YtEiOa1VrZqru/MkwRtjIoGXgLOBNsAlxpg2XsSilDrUI49Amy7bGPtQJzbM7IX96T9sWFafEV+NKDvJP/xw4FU30wTvncKV6O6/P/AO/PwpIQHq1oXx46U4UOvWftmtVy34LsAaa+06a2028CEwwKNYlFJFREXBvnP6Q8x++GIcTH8E3plG+roO3Dvt3tKfnJgozf9AarFpgvfeqFFSZjock3xcHNx5J/z5p3SR+XGcilcJ/mjgryK/byq47QBjzAhjTIoxJmXHjh1+DU6pcLc5/1do8wlgwEZBXjT82ZuNe8sxb/f882WCvdeVzaKiJKGEY1IJRP/+N4wbF36vx7nnwoMPejI+Jcrveywna+1YYCxAcnKyDoNVyo+OrXYsGzq+B79eAflREJkDjWdybLVylqZ98004/njIyJCSnG6JjpaEYa3sq0oVaNRIxgO0by8jB085xb39K98MGiTnnQcOhPR0r6Pxj0aNPNu1Vwl+M3BMkd8bFtymlAoAo08bzYj0EaQPPxX+7A2NZ5LQdAmjTxtbvg00bgzr1knX7LvvSpKv6HS12Fi55OdLEq9RA5o0kZUG27WTJN68OTRtGn6tw2B01lnw/ffyMzXV62jcFRMDRx9d9uNc4lWCXwC0MMY0QRL7xcAQj2JRSh1maPuhANw77V42HvM4x1Y7ltGnjT1we7nUqCEVdG66SaYELVsGaWnFPzY+Xr4Mc3PlYKBWLUnY7dpB27aSwJs3lwOHmJjK/4HKW927w5w50ruyd2/o1iqIiZHBdR4x1qN/rDGmH/AsEAm8Za0tsRJ2cnKyTUlJ8VdoSimnWQuffSbT6Pbtk0Rer54k7XbtpDVemMSPOUbOn6vQt2aNLDu7a1doVhysVg0+/VTWZq4AY8xCa21yRXfv2afIWvsN8I1X+1dK+ZExct61f3/YsUNWHovQOlthr3lzmRPevTts3Qo5OV5H5Kz8fDmQ9Yh+wpRS/hMbKyuPaXJXhY4+Wlaia9489Faiy872tIteP2VKKaW8VasWzJ8PHToEZrnjisrNlbEoHtEEr5RSyntVq8KsWXJOPlRmQ1Sp4mlvlSZ4pZRSgSE+HqZMgX79AqsaYkXVrOnp7jXBK6WUChzR0TBxIgwZEvxJvk4dT3evCV4ppVRgiYiQNQ1uuim4k3zDhp7uXhO8UkqpwGMMPPaY1HEP1nPyx5aztLNLNMErpZQKXHfeGZwr0XlcphY0wSullAp0//63rGkQTEk+NtbTIjegCV4ppVQwuPBC+Pzz4DknHxHhaZEb0ASvlFIqWJx5JkybJvPLA11+PtSu7WkImuCVUkoFj27dZCW6GjVkIF6gioiAPXu8DcHTvSullFK+at8efvlF5plHRnodTfHy8uDPPz0NQRO8Ukqp4NO8uSxS07ChFMcJNOnpsG6dpyFogldKKRWcCleia9Ei8Faiy8+HFSs8DUETvFJKqeBVs6asRNexY+CtRLd6tae71wSvlFIquFWpIivRnXxyYM2V/+svT3evCV4ppVTwi4uDb76B/v0rNlc+Pl4uRx3lXE/A7t2yJrxHNMErpZQKDVFR8NFHMGxY2UneGFmDPjZW1qB//HFYuhS++MK58/mxsbBlizPbqoAoz/aslFJKOS0iAl59Vc7NP/ecjGYvFBcn9ycmwnnnwcCB0Lv3oQcD8+bJFDcnREfD+vWeLTqjCV4ppVRoMQYefVSS/L33grUyCG/QIDjnHGjVquQiOWvXHnpQUBm5uTIX/pRTnNmejzTBK6WUCk233w79+slc+fKWt12+XKa4OcHjufCa4JVSSoWu447z7fFOTm2z1tO58DrITimllCrk9NQ2D+fCa4JXSimlQM6Z//OPs9v0cC68JnillFIKYNMm56vh7dnj2Vx4TfBKKaUUyJS2KIeHpsXFyYGDBzTBK6WUUiAJ3unWdlSUbNcDmuCVUkopkDnwaWnObrNwLrwHNMErpZRSAF27Or9YjYdz4TXBK6WUUiDla+fPh2OOcW6wnbVSPMcDmuCVUkqpQh06SHGaf/2rYqvSFcejufCa4JVSSqmiEhPhgw9g7Fi5HlHBVJmQICvK9erlbHzlpAleKaWUKs7QofDbb9J1Hx8vy8uWJSZGuvfbtYMnn4TNm+HFF92PtRhai14ppZQqSbNm8NlnkJ0N06dLy37KFBltb+2hj61ZE666Ci6/HJo29SbeIjTBK6WUUmWJiYG+feUSJLSLXimllApBmuCVUkqpEKQJXimllApBmuCVUkqpEKQJXimllApBmuCVUkqpojIyYNUqqSMfxDTBK6WUUs89B61aSTGbKlWgc2do3Bi+/trryCpME7xSSin15JPSat+/H/LypJDNjh0waJBnlegqSxO8Ukqp8JaWBtu3F39fejo88MCRVeuCgCsJ3hjzpDHmD2PMEmPMZ8aY6gW3NzbGZBhjFhdcXnVj/0oppVS5LV1a+spxmZmerQhXGW614L8H2llrOwCrgLuL3LfWWtup4HKtS/tXSimlyufXXyEnp/THzJjhn1gc5EqCt9ZOtdbmFvw6H2joxn6UUkqpSps3T0bOl8QYWfY1yPjjHPyVwJQivzcxxvxqjJlljDnZD/tXSimlSvbzz2U/ZuBA9+NwWIVXkzPG/ADUK+aue621XxQ85l4gFxhfcN9W4Fhr7S5jzAnA58aYttbafcVsfwQwAuDYY4+taJhKKaVU6a64AubMkev5+fKz6KC6QYPKtxZ8gDHWpZGBxpjhwDXAadbaYqsFGGNmAndYa1NK21ZycrJNSSn1IUoppVRIMcYstNYmV/T5bo2i7wvcBZxXNLkbY2obYyILrjcFWgDr3IhBKaWUCmcV7qIvw4tALPC9MQZgfsGI+V7Aw8aYHCAfuNZau9ulGJRSSqmw5UqCt9Y2L+H2ScAkN/aplFJKqYO0kl04y8mBzz+H3dqJopRSoUYTfDh7+224+GJo0ABuusnraJRSSjlIE3y4ys2V+spZWXJ56y2YP9/rqJRSSjlEE3y4mjgRUlMP/p6XB8uWeRePUkopR7k1il4FutGjDyb4hAS48EIYMsTbmJRSSjlGW/Dh6pprpLZyjRrw8cfwzjulr6aklFIqqGgLPlzdfLOUX0xICMoSjEoppUqnCT6c1StuKQGllFKhQLvolVJKqRCkCV4ppZQKQZrglVJKqRCkCV4ppZQKQZrglVJKqRCkCV4ppZQKQZrgVfjKzYX1672OQimlXKEJXoWvkSOhaVM4/3zYssXraJRSylGa4FV4WrEC3nxTrn/9NbRoAf/7H2RnexuXUko5RBO8Ck/jx0NmplzPzYX0dPjvf6F5c/jhB29jU0opB2iCV+GpRg2IOqxSc3o6/PUXDBgA/frBxo3exKaUUg7QBK/CU+3asppecdLT4dtvpdt+zRr/xqWUUg7RxWZUeKpfHzIyZCW9/Hy5npQEDRtKYm/TRrrrGzb0OlKllKoQTfAqPPXpA++8I131TZpA48YQH+91VEop5RhN8Co8RUXB0KFeR6FUyfbulR4mY7yORAUpPQevlFKBZsMG6V2aNs3rSFQQ0wSvlFKB5qWX5OfLL3sbhwpqmuCVUiqQ5OTA2LFgLUyZAvv2eR2RClKa4JVSKpB8/jnk5cn1yEj4+GNPw1HBSxO8UkoFkieegNRUuZ6WBi++6G08KmhpgldKqUCxciUsW3bobX/8AevWeROPCmqa4JVSKlA8/7ysjVBUfj689ZY38aigpgleKaUCQUaGFF86PMFnZ8Prr0uiV8oHmuCVUioQfPRRyUVt0tPhp5/8G48KelrJTpXsgw9k0RWQL56ICPlZ+CXUsydccYV38SkVSp588uDgusOlpcErr8App/g3JhXUNMGr4r3zDlx3nXQblmT9ek3wSjlh8WL488+S77cWvvhCEn1ior+iUkFOu+jVkaZOLTu5x8fDmDH+i0mpUDZmDGRmlv6YqCiYNMk/8aiQoAleHWnFitLvj4yEs86Cjh39E49SoWzfPpg4sexBdKmpOide+UQTvDrSkCGlf9nExMDTT/svHqVC2XvvyfiW8liyRBaiUaocNMGrI9WuDb16FX9fTIwss9q0qX9jUsoJe/bAxo1eR3GQtfDUUzJKviwxMXJqTJePVeWkCV4V78YboUqVI2+PjIT//tf/8ShVEdbCr7/CI49Ahw5Qty60agWDB5c+qM1f5s2DHTvKflxCApx3HqxdC8ce635cKiToKHpVvLPPPvK2uDi4+Wb5klQqUGVny4ItkybBd9/Jwi3Z2XIp9Omn8OWXcNll8PDD3r2ny2q9x8XJqPl334V+/fwXl9MyM+GGG2D3brj4YujbF6pV8zqqkGestV7HUKbk5GSbkpLidRjh54Yb4LXXDq5sVaUKbNoEVat6G5dSpbn6apgwofzd3pGRcNNN8Oijct1fdu6Ehg0hK6v4+xMSYNAgeO654P7MbdsGZ54Jq1dLok9KkoOtDh3kdN955+kpvxIYYxZaa5Mr+nztolclu+YaiI2V6wkJ8H//F9xfNCr0zZwpBZrKk9xBEk1GhiTRsmaPOO3NN4sfXBcfD/Xqwddfw9tvB/dnbtEiaNdO/reF0wBTU+X/npICd98NbdvKaYfbb4e5cw82KFSlaQtela5lSznyrlUL/vpLugyVCkRpadCsGWzf7vtzo6Jg7145kPWH/Hw4+mhp3RYVHy/Fo554IvgL2nz0EVx5ZfkPtiIj5f9vrXThX3yxtPyLGwsUJrQFr9x1ww3y84knNLmrwHbbbZKkK6J6df8ld4Dp0w8tS5uQIK3Y6dPhpZeCO7nn50vL/Ioryp/cQVru+/fL/+WTT+T5tWrBSSfJ/P9Amv0QJHSQnSrdpZfKh/Syy7yORKmS7doF48YdOpDOFy1aOBpOmYrWnY+PlwPpRx45eEosWKWlwUUXwaxZpVfCLI/9++Xn/Pnw229w551y6mLQIBg4EE48sfz1A8KUa/8dY8yDxpjNxpjFBZd+Re672xizxhiz0hhzllsxKAccdZQcjftz8JFSvqrsF33nzs7EUR5btsAPP0iPWIsWMGeO9JAFe3LfuBGOPx5mzPCt5V4eGRlyDv/PP+GZZ+D00+W7aciQgzX61RHcbsGPsdY+VfQGY0wb4GKgLdAA+MEY09JaqyMrlFIVk5gIOTkVe25Cgn/LLo8fL8VqRo2Ce+6B6Gj/7dstc+ZA//7S6nZ73frc3IO9HxMmwOTJ0nNz4omS8M89V2YnKE+66AcAH1prs4D1xpg1QBdgnut7XrtWFlGxVo6e4+LkqDkh4eDvCQlyW0zMwZ+Fl6K/l/d6dLR2IynltpgY+ZxVZAR2dDQcd5zzMZXkhhtgwAAZwBoK3nhD6mNUtku+ogq78mfPllH7I0fCMcdIMaN//Ut6Z8K0+p/bCf5GY8xlQApwu7X2H+BoYH6Rx2wquM19zz0H06aVfYQZESGXyMiD1wvXQS+6Hnohaw9e8vMPXvLy5BIRIaN0i16iow9eDj+IKLwUHnTExcl5uvj4Qw9MynuwER8P7duH7ZtchYnY2Ip1DWdk+DfBJySERnLPy4NbbpGpfF4l98MVvv5r1sDjj8t3flSUtOoHD4ZTT5XvwzBRqQRvjPkBqFfMXfcCrwCPALbg59PAlT5sewQwAuBYJ0ozWivzY8vTfVSYoHNzK7/fwu0dXkmrsqKiDh58FHcQUlRWFrz1FlxyiXP7VyrQxMVVLMHHxEDNms7HE8r27pWkuXCh8+fbnVK0K/+99+RcfVaWjMov7MqvV1z6Ch2VSvDW2tPL8zhjzOvA5IJfNwPHFLm7YcFth297LDAWZB58ZeIE4JdfSq4YFYx8Pfj4/ntN8Cq0XXMNPPusfM59OQ+sVdR8s3q1tIT//tvZRovb9u2TnzNnSj646SZo0kTm259/vlTWC7FeTjdH0dcv8uu/gGUF178ELjbGxBpjmgAtgF/ciuOA994L3CNNf/jxR68jUMpdjz4qLcqePX2b0+7PAXbBbupUOae9eXNwJffDpafLgeAff8j7pkcPWUXzqqvg229DpjHo5uivJ4wxS40xS4A+wEgAa+3vwERgOfAtcIPrI+jz82W0pdujOwPZxo06lUSFvuOOkznYkyZJ4ZiyCsbExMjULlU6a2HMGGnppqbK76EiO1u+G3ftkvEEgwdL4aMzz5Tfy7PaX4ByLcFbay+11ra31naw1p5nrd1a5L7R1tpm1tpW1topbsVwwM8/B/fRphMSEqR1o1Q46NtXBlqNHi2Lm5Q0xzwuDtq08W9swSY7Gy6/HO67L3AG07nFWunKz8yU05o33SQj8tu2lWWyV670OkKfhMf8rffeC/03ZlnS02UhB6XCRXS0jPLesAGGD5fR00WnrFapIjNl/FnkJtjs3Andu0vp2HA8xZmWJt31y5dLpcGTTvI6Ip+EfoLPz4cPP9QVinJypHqWUuHmqKPg1VdljvTJJ0ur/aKL4OOPZaBY7dpeRxiYli6VleCWLNEGEkhPRqtWXkfhk9CvRT9vnnPT3YJdSop0QYXYSFGlyqV1axlB7fZnIC9PztsG8xSszz+HYcN03E5RsbFyYBhEQr8F/+67+iYtlJ0tS74qFc6cTu55eZIQ77hDuvsTE2WA3403Bt/YH2vh4Ydlnrh+bx4qMhLOPtvrKHwS2i34/HyYODG8R88XFRUlAw6dKByklBKLF0tJVGMOHV3+1lvSY/DVVzLfOtBlZEhinzpVu+SLExcnvUBBJLRb8HPm6Ln3ovbv1/nwSjmtc2fo2vXInoGMDFixQgqofPqpN7GV15YtkJwsc8DDcTBdefTtG3SnN0M7wWv3/JFmzPA6AqVCizHyXVPcVLz8fJk3fumlMGJEYBZQWbBA1qpYuVKmh6kjVakivTRBJnQTfF6ejJLV7vlDrVoVfOcFlQp0LVvC7beXXEEvPR3ef1+q5q1Z49/YSvP++9C7N+zerb2dpcnKkjXog0zoJvg5czS5Fyc+Hn77zesolAo9990nU/JKkpEhB9idOsnUXS/l58ugwGuu0S758mjRQqrbBZnQTfDvvntwJSF1UHa2TB1USjkrNlZaxKXVwbdWThtedZUU3/FiMNv+/XI++ZVXNLmXR3Q0XHCB11FUSOgm+C1bQqteslMyM2HaNK+jUCo0nXIKnHOO1LgvTXq6zPApPPftL+vXy2mCH3/U5F5ecXHQv7/XUVRI6Cb4s86SF0Ydaf58ryNQKnS99FL5vnsyMmDdOhmFP2uW+3H9+KOcHtiwITAH+wWq/Hw44QSvo6iQ0E3wJ58sXSvqSHv2BPUKSUoFtFq1ZOW1slayg4NV9davdzemV1+Vbvl9+3Rskq9695YiN0EodBN8hw5Sf10dKS5OCt4opdxxxRWydG155k3n5ro3BSs3V6bn3X67Fq+piMREuPBCr6OosNBN8FFRcq5JHSk1FWbP9joKpUKXMbKKZXm66nv1gmrVnI/hn39k2+PH6/n2isrNlXXhg1ToJniQLqmo0K7GWyH5+f4556dUOGvdWparLW1UfZUqcPXV7uz/kktkgSlN7hVXrx40aOB1FBUW2gn+lFNK/3CFK2NkGUillLseeKD0+dM5OTLq3mk5OXIQr6cpKy4iAgYM8DqKSgntBN+1q553Kk6VKjBokNdRKBX64uKkq76khsZZZ7nTCPn557Kn6qnSJSXBeed5HUWlhHaCT0iAZs28jiLwZGdL74ZSyn2nnirLjB4+q6dKFSl444YpU7RrvrKysqBnT6+jqJTQTvAAZ5wRdCsAua5PHz26V8qfXnnlyAF3eXnSgnfDZ5/JADFVcSeeWPwCQkEk9BP8qafKkbISSUmy5rNSyn9q14annz44N94YOP98dw609+yBtWud3244iYuDiy7yOopKC/0E36OHLoFYVHa2dBcqpfzrqqtk1Tlj5ED7yivd2c/06VrFs7IiImQWVpAL/QRfu7ZclDjuOKhZ0+solAo/ERGyGE1MjCT53r3d2c+XX0rFOlVxiYmyglyQC49J4qecAh984HUU3ouNhaFDvY5CqfDVpg088ogkeLfKn06Z4s52w8nZZ4fE2K3wSPBnnilHteG+fGxEhJz3U0p558473dv2unWyHKyquKpV3Ssd7Geh30UPsvCMLrAANWqERLeTUqoEU6eGRMvTU5mZMjg7BIRHgm/SRFeWi4gIiVGhSqlSfPqpzn+vrNatpRUfAsIjwRsDJ53kdRTeCvJVkZRS5TB3rtcRBLfo6JD6ngyPc/AggyZmzgy+KXPGSOu78FL4uzGHXoo+vpC1B39GRelBjlKhxFpYsABatTq4Gt2JJ0oN+sLPvvJNbCz06+d1FI4JnwR/8snys2rV4s9RFU2GhZf8/IM/i14KR8AWXiIiJIFGRh76MzpafhZej46WKTKF1wt/j4099Hps7MHrhY8vuo3Cy+G3lfZ7vXrujdpVSvnfV18dbG3WrSs1P9q1g/nzg68hEyiMgeOP9zoKx4RPgu/UCb7+WkbSVzRJFv4eER5nNpRSAWzZMmmA5ObCpk3w0Uey/oYeyFfcqaeG1Pd7+CR4Y0JmZKRSSpGScmS9eR1gV3FJSXDBBV5H4ajQOVRRSqlwsmyZ1xGEluxsqZkSQjTBK6VUsLEWNm70OorQ0rChjGUIIZrglVIq2GzaFFLnij0XGRky1euK0neIUkoFmxUrtHiXkxIT4ZxzvI7CceEzyE4p5Zu8POjQAcaNk/nVKnAsXw5ZWa5sOqdGDTY9+CCZzZuHTy+BMVCnjhw4eSAuLo6GDRsS7fBBmyZ4pVTxIiIkkXTpAmvXQtOmXkekCv36q2sJftODD1KlSxcaR0URNlXtq1SRgkEesNaya9cuNm3aRJMmTRzddpgcnrls61b45JMjp6woFcyMgfXr5fp113kbizrU4sWubTqzeXNqhlNyj4iQhbg8YoyhZs2aZLpQnEgTfEXl5soStKeeKovZDBsG06Z5HZVSzmrcGEaOlFXK9u71OhpVaN0697YdERE+yb2Qx4vLGJdWANQE76tVq+C226BWLUnqM2ZIV1l2tlSSUirUPPmk/Hz5ZW/jUGLnTvm+CXGbtm9nwO2302LgQJqdfz63PPUU2Tk5jPvqK2584olyb+fZDz4gvbTWcWQkxMUVe9fMmTM5J4gH3+k5+PJIT4ePP4Znn4U//pDBRzk5hz7GWvjiC/mp6zGrUBIZKT1WWgI1MKxYIQnJX0n+rLNg927ntnfUUfDdd6U+xFrLwLvu4roLLuCLp58mLy+PEY8+yr0vv0xbH8eCPPvhhwzr14+EEpL4gYV6QpC24EuTkgKXXy6t9RtvlPNemZlHJvdCWVky+EWpUKPJPXCsWOHf8T5OJvdybm/6ggXExcZyxXnnARAZGcmYkSN566uvSM/M5K/t2+l9zTW0GDiQh15/HYC0jAz633orHYcMod3gwXw0dSrPf/ghW3bsoM+119Ln2msBuO6xx0i+7DLaDhrEA2PHQvXqACxYsIDu3bvTsWNHunTpwv79+w+JKS0tjSuvvJIuXbpw/PHH88UXXzj4T3GHtuBLsm6dLK9auIJceWRlwaRJ0Lmzu7EppcLXb7+FfM3539et44TWrQ+5rWpSEsfWrUtuXh6//P47yz78kIS4OE68/HL69+jBhm3baFCrFl8/+ywAe1NTqZaUxDMffMCMV1+lVkEiH33ddRxVrRp5eXmcdv31LFm/ntZt2zJ48GA++ugjTjzxRPbt20d8fPwh+x89ejSnnnoqb731Fnv27KFLly6cfvrpJCYm+uNfUiHagi9JgwYyurK8yR3kqPrDD92LSSmlFi3yOgLPndG1KzWrVyc+Lo6Bffowe/Fi2jdrxve//MJ/XniBn379lWpJScU+d+IPP9B52DCOHzaM39evZ/nKlaxcuZL69etzYkG9h6pVqxIVdWj7d+rUqTz22GN06tSJ3r17k5mZycYALxesCb4kcXFS5MNXW7ZojWillHtWr/Y6Ate1adKEhX/8ccht+1JT2bh9O1GRkUeMOjfG0LJRIxa99x7tmzXjvlde4eGCrvui1m/ezFPvv8+0l19myYcf0v+MM8o9Pc1ay6RJk1i8eDGLFy9m48aNHHfccRX/I/3AlQRvjPnIGLO44PKnMWZxwe2NjTEZRe571Y39O2bAAN/LQRojg+2UUsppqalhMV3xtC5dSM/M5N2vvwYgLy+P2599luH9+5MQF8f3P//M7r17ycjM5PNZs+jRsSNbduwgIS6OYf36ceell7Jo5UoAqiQksD8tDYB9aWkkxsdTLSmJ7bt3M2XGDABatWrF1q1bWbBgAQD79+8n97BxDmeddRYvvPAC1loAfg2C8VaunIO31g4uvG6MeRoo+o5ca63t5MZ+HXf66TJFqKRBdcXJyIDx4+Gmm9yLSykVnlauhIQE2LfP60hcZYzhsyee4PrHH+eRN98kPz+ffj168OgNNzDhu+/o0rYtF/znP2z6+2+GnX02yW3a8N28edz5/PNEGEN0VBSvjBoFwIh//Yu+N99Mg9q1mfHqqxzfsiWtL7qIY+rWpUfPngDExMTw0UcfcdNNN5GRkUF8fDw//PDDITHdf//93HrrrXTo0IH8/HyaNGnC5MmT/f6/8YUpPBpxZePSj7IRONVau9oY0xiYbK1t58t2kpOTbUpKihshli43V0oY+lphKCYG/v47pKdfKKU88P77UlUwNdW1XayYMoXjatU6eIMH0+T8okYNaNbM6ygOWLFixRFd/saYhdba5Ipu0+1R9CcD2621RU8aNTHG/ArsA+6z1v5U3BONMSOAEQDHHnusy2GWICoKkpNh9mzfnhcbC99+C4MHl/1YpZQqr6VLoaC72W8CIRk7LSLiwPS4UFbhc/DGmB+MMcuKuQwo8rBLgAlFft8KHGutPR64DfjAGFNsjUBr7VhrbbK1Nrl27doVDbPyBgyQhO2L/fthwoSyH6eUUr5YuFCKaanKsdbz8rT+UOEWvLX29NLuN8ZEAQOBE4o8JwvIKri+0BizFmgJeND/Xk6nnQYPPeT7yk3ffy/n7nXNZqWUUw4bWa4qKDY2LL6b3Zwmdzrwh7V2U+ENxpjaxpjIgutNgRaAi6smOKBjR9+OmCMi5MgwPz8sRrsqpfwkJwe2b/c6itAQBt3z4G6Cv5hDu+cBegFLCqbNfQJca611uA6iwyIioHv30h9TpYoMrGvWTEbPf/wx7NolJW6VUsoJa9aUuCiK8kFERNgMgHZtkJ21dngxt00CJrm1T9cMHy4D7TIy5PfERFlwpnp1OPNMOPdc6NMHatb0MkqlVChbsUKSk6oca+U7PAxoLfryGDIEmjeHO+6QpH7++XJuvlEjryNTSoWL33/3/wj6UFSlStgcKGmCL68uXeDHH72OQikVrhYulJ5DP6vf/1y2/b3Nse3Vq1OPrV9/VeL9I595hkb16nHrkCEAnHXTTRxTty5v3HcfALePGcPRderQvGFDlq9fz6jhw8u97+EPPcQ555/PhS1bHnHfrbfeysCBA+nVqxdXXXUVKSkpWGtp2bIl48aNIykpiQcffJDXX3+d2rVrk5mZSZ8+fXjppZeIiIjgjz/+4OKLL8YYwyeffMLPP//MkIK/YenSpTz99NOMGzeu/P8oB2iCVyqUvf46/PCDTPc8/XSoU8friFRFLVvmyW63/b2NRv9xrmLbhsfPKfX+Hh07MvGHH7gVyM/PZ+eePewr0nMxd+lSxowcSbf27TnvlFN8DyAh4Yibdu3axfz583m2YCW6MWPGULVgGt1tt93Giy++yKiCyngjR47kjjvuID8/n169ejFr1iz69OnD559/zoUXXsh9993HzJkz+eCDDw4k+Pbt27Np0yY2btzo17oumuCVCmVLl8LEifDNN5CdDQ0bSrLv1w969tRBW8EiPz9sFrHq3qEDI595BpBlY9s1a8bWnTv5Z98+EuLiWLF+PZ1bt2bcV1+RsmIFL951F8MffJCqSUmkLF/Otl27eOLmm7nwtNOw1nLTk0/y/c8/c0zdusTExBQ7PW7SpEn07dv3wO+Fyd1aS0ZGxhGL2wBkZ2eTmZlJjRo1+Oabb3j22WeJjIxk2rRpZGRksGLFCjp16sTll1/OyJEjOffcc/nwww+56667XPrPHSk8TkQoFa5OPVWmbaamSoJftw6eew4uuEDGkyxZ4nWEqjw2bgyLedsADWrXJioqio3btjF3yRJOat+erm3bMm/pUlJWrKB98+bEFPO/2LpzJ7PfeIPJY8Yw6sUXAfhsxgxWbtjA8okTefehh5hbwvt9zpw5nHDCCYfcdsUVV1CvXj3++OMPbiqytsiYMWPo1KkT9evXp2XLlnTq1Il+/fpx7bXXMnLkSGbMmMFjjz3GySefzOLFixk5ciQAycnJ/PRTsYVbXaMJXqlQ1qPHkWsp5OfLYiUxMXDMMd7EpXyzYoWUzg4T3du3Z+6SJQcS/EkdOhz4vUcJy3iff8opRERE0KZpU7YX1M7/8ddfueSss4iMjKRBvXqcWkKX/tatWzm8Yurbb7/Nli1bOO644/joo48O3D5y5EgWL17M33//TVpaGh9++GG5/qY6deqwZcuWcj3WKZrglQpltWvL5XCJifC//8mCGyrwLV/u+6JXQaxHx47MXbKEpWvW0K5ZM7q1a8e8ggTfvYQEHxsTc+B6sYuo5eeXeJAUHx9f7LrwkZGRXHzxxUyadOTs7ujoaPr27cuP5Rx8nZmZSXx8fLke6xRN8MFu1Sq49VZZYerZZ2Ut+t9+C/nlJJUPimu11K0L11zj/1hUxSxaJKdYwkT3Dh2Y/NNPHFW1KpGRkRxVrRp7UlOZt2QJ3Tt2LPd2eh1/PB99/z15eXlsTUtjxsyZxT7uuOOOY82aNYAcHBS9/uWXX9K6desjnmOtZc6cOTQrZkW6KlWqsH///kNuW7VqFe3a+bSQaqWFT59PKMnNhcmT4fHHJZnn5MhtMTEHB02lp8vv9etD06bwxhvg1ap8yltnnglffnlwidGEBHk/hFGXb9Bza6yEMXJuPzpa5oZHRMhtkZFSECY/n3p16pU58t0X9erUK/Mx7Zs3Z+fevQwpMvCtfbNmpKanU8uHMrP/6tOH6SkptBk0iGMbN+akk04q9nH9+/fntdde4+qrr8Zay+WXX86+ffuw1tKxY0deeeWVA48dM2YM77//Pjk5OXTo0IHrr7/+iO116NCByMhIOnbsyPDhww+cm+/fv3+5Y3eCq+vBO8Wz9eADzd9/w6uvwvPPy9H8YUeIJYqIkDm0nTq5Gp4KUGvXQocOctAXGQlnnAFTpngdlfJFUpJU0oyOlgOzyEhJxHAgEZOXJwf6OTkHD/bj4uSALjFRCrxUrSqX6tXlUq2a3J6UdOCyokEDjmvZUr5vdu8OjdXrIiLguOOglC7ynj17MnnyZKq7UKc+KyuLU045hdmzZxNVwoF1MK4HryrLWpg3D558UtaYB9/OxSUkwJ13anIPZ02bHhyBHRMDL7/sbTzKdy+9BFu2HJKID0/MBy4JCZWr1LZihRwQNGwI//wTGgnemDKnhD799NNs3LjRlQS/ceNGHnvssRKTu1s0wQeq9HQYP1664bdtk999/aBFRECrVnD//e7EqIKDMdCtmyxhfNNN0KSJ1xEpX11+uf/3GR0thZG2bw/+JF+16sEejxJ07drVtd23aNGCFi1auLb9kmiCDzSrV8OYMfDOO/KGrEzt6fh4+PRT6c5T4a1fP0hJgf/7P68jUcGkXj3pqg/mBB8REbazRXQUfSD59ls5V/r669Jir0xyT0iQrtjGjR0LTwWxm2+GTZvCZhUt5ZCoKGjQILgXZ7FWWvBhKIhftRC0YoUMlsnNrdx2YmOl7villzoTlwoNWpZWVUSdOsGd4GNjw3bGSBC/aiFoxw5n5rpWqXKwi18ppSojIgKOPtqvST6ya1c6DRlC20GD6DhkCE+//z75+fm+b8gYHn3//UNu6t69e4XjGjdu3CHV6K6++mqWL19e4e25TRN8INnmwJKM8fHwyScyBUYppZxQq5ZfW8HxsbEs/uADfp84ke9ffJEpc+fy0Ouv+74hY3i0oC59oblz51Y4rsMT/BtvvEGbNm0qvD23aYIPJNu3V+75CQlSnawiSygqpVRJjJF1Cw5rxWfn53D2Lzdz9i83k5qbfuB6dn6OY7uuc9RRjL3nHl78+GOsteTl5XHnc89x4mWX0eGSS3jt008BWWym14gRdBoyhHaDB/PTr78y6vnnycjIoFOnTgwdOhSApKQkAGbOnEnv3r258MILad26NUOHDj1Q4vbhhx/mxBNPpF27dowYMQJrLZ988gkpKSkMHTqUTp06kZGRQe/evSms0TJhwgTat29Pu3bt+M9//nMg/qSkJO699146duxIt27d2F7Z73kfaIIPJDt3Vvy5hR/Axx93Lh6llCpUvbrUUShiQMrtzNq1iFm7FtFwWv8D1wek3O7orps2bEheXh5/797Nm198QbWkJBa8+y4L3nmH1z//nPWbN/PBt99yVrduLP7gA3774AM6tWzJY/fcQ3x8PIsXL2b8+PFHbPfXX3/l2WefZfny5axbt445c+YAcOONN7JgwQKWLVtGRkYGkydP5sILLyQ5OZnx48ezePHiQ+rKb9myhf/85z9Mnz6dxYsXs2DBAj7//HMA0tLS6NatG7/99hu9evXi9Yr0RFSQJvhAUrACUoXEx8Pnnx/xAVRKKUcYI+WuizkXn5Gfxd7cVDLys1wPY+rPP/PuN9/QacgQug4fzq69e1n911+c2KYNb3/1FQ+OHcvSNWuoUqVKmdPjunTpQsOGDYmIiKBTp078+eefAMyYMYOuXbvSvn17pk+fzu+//17qdhYsWEDv3r2pXbDU7dChQw8sQhMTE8M550ip3xNOOOHAPvwhPIcWOi0jQ+YYz54NU6fC3r0wf77vyXbv3ortPzERHnsMilkQQSmlHFO1qjQmCqbwftz5MRpO639IYo+JiOaTzs72JK7btInIyEjqHHUU1lpeuOMOziqmrvyPY8fy9ezZDH/oIW4bOpTL7r671O3GxsYeuB4ZGUlubi6ZmZlcf/31pKSkcMwxx/Dggw8Wu9JceUVHR2MKBjwX7sNftAVfEZs2wcSJsoJbq1ZSz/mcc+CBB2DmTFkYorA0qC/KW1u+qOho6NIFbrjB9+cqpZSvirTiL1o06ojz7dn5OVy46D/FPbNCdvzzD9c+9hg3XnQRxhjO6taNVyZNIqcgUa7asIG0jAw2bN1K3aOO4t//+hdXn38+i1avhpgYoqOjyckp/5iAwmReq1YtUlNT+eSTTw7cV9wqcSA9AbNmzWLnzp3k5eUxYcIETgmAsVDagvfF3Llw3nly9BodfWhCLvoGqlnT9ylqubmQVYHurYQE+PBDnRKnlPKPwoVrivQ4xkfEEhMR7djguoysLDoNGUJObi5RUVFcevbZ3FYwSO7q88/nz61b6TxsGNZaateowedPPcXMhQt58r33iI6KIikhgXdfeAGAESNG0KFDBzp37lzsefjDVa9enX//+9+0a9eOevXqceKJJx64b/jw4Vx77bXEx8czb968A7fXr1+fxx57jD59+mCtpX///gwYMMCR/0Vl6Gpyvhg+XOaXl6VDB1nG1Rc7d8ogOV8Xkpk4Efy8BKFSKnQVt6rZETIzYd06stP2MWDBbYB011+0aBQAXyQ/TUxEBXoxnRIZKYssVavmXQw+0tXkvJaWJm+cvLzSH9eoke/b3r1begXKm+Dj4uDiizW5K6X8Ly4O2rQhxlqmdJhxoLT2lOpvyZik/Hzpxs/P96aOfX6+9DKEOU3wvnjsMfj6a3kDl6Yiqwbt3u1bpajataGgC0oppTxhjJSCjY09dMR6To4k/fR0SE2Vn7m5/kv6lV0yN0RogvdFs2YwYgS89lrJLe3Y2Iot8OLLFLn4ePjiC3kTK6VUoImOlu7xol3keXnSOEpLO5j0s7MPjh+qSCna4hgTtqvHHU4TvK8efhjGjSs9wTds6Pt2d+8uu+sfJKnfcw8cf7zv+1BKKa9ERkJSklzq1pXb8vPlu7Rw9czUVPm9vEm/sJVurUxLTkiQrvmaNd37O4KIJnhfVa0q1eJuv73k5VyPOcb37e7efehI/OJERkLbtjBqlO/bV0qpQBMRIUk5IUHq3YMk66ysg0k/Le3geX1j5P64OBnNn5Qkz42L0y75YmiCr4irr4YnnoB16468LyNDVl7y1c6dZU+Ti4+HSZMk0SulVCgyRhJ2XBwcddTB23NypJczNlanBZeTHvJURGQkfPwx9Owpb8KYGDnn07+/nJ+vV8/3bW7dWvr9CQkwdmzFegeUUirIjB49mrZt29KhQwc6derEz4sW8eyrr5Je1iDnYhy+Cly40BZ8RXXuDD/9JEeUO3bIOaXKHFWWtsJQbCycfTZccknFt6+UUkFi3rx5TJ48mUWLFhEbG8vOnTvJzs5m8ODBDBs2jAQfBhjn5eUxbtw42rVrR4MGDVyMOvBoC76yIiOlxV7ZLqPSVpKrXh3eeqty21dKKReMXzqexs82JuKhCBo/25jxS8uuFleWrVu3UqtWrQO14mvVqsUnn3zCli1b6NOnD3369AHguuuuIzk5mbZt2/LAAw8ceH7jxo35z3/+Q+fOnZkwYcIRy7yGC03wgaKkaXKF592rVvVvPEopVYbxS8cz4qsRbNi7AYtlw94NjPhqRKWT/Jlnnslff/1Fy5Ytuf7665k1axY333wzDRo0YMaMGcyYMQOQbvyUlBSWLFnCrFmzWLJkyYFt1KxZk0WLFjFs2LASl3kNdZrgA8WePUfelpAAN90EPXr4PRyllCrLvdPuJT0n/ZDb0nPSuXfavZXablJSEgsXLmTs2LHUrl2bwYMHM27cuCMeN3HiRDp37szxxx/P77//zvLlyw/cN3jw4ErFEAr0HHygOHyFImOkYM5//+tJOEopVZaNezf6dLsvIiMj6d27N71796Z9+/a8c9g6IOvXr+epp55iwYIF1KhRg+HDhx+yrGtiYmKlYwh22oIPBPn5R5a/jY+Hzz+v2LKzSinlB8dWO9an28tr5cqVrF69+sDvixcvplGjRocs17pv3z4SExOpVq0a27dvZ8qUKSVur6RlXkOdtuADwd69ksizs+X3hAR45pmK1bRXSik/GX3aaEZ8NeKQbvqE6ARGnza6UttNTU3lpptuYs+ePURFRdG8eXPGjh3LhAkT6Nu374Fz8ccffzytW7fmmGOOoUcppzIPX+Y1XM7D63KxgWDtWujUSco0RkdDnz7w7bdazEEp5XflWi62iPFLx3PvtHvZuHcjx1Y7ltGnjWZo+6EuRhiadLnYUFV0JbmkJBg/XpO7UiooDG0/VBN6gNJz8IGgcKGZhASYMOFgTWallFKqgjTBB4Ldu2VBhUsvhbPO8joapZRSIUATfCCIjobjjoNnn/U6EqWUIhjGZoUSt/7fmuADwYUXwu+/y8I1Sinlobi4OHbt2qVJ3k+stezatYs4F77/dZBdoNBBdUqpANCwYUM2bdrEjh07vA4lbMTFxdGwYUPHt1upBG+MuQh4EDgO6GKtTSly393AVUAecLO19ruC2/sCzwGRwBvW2scqE4NSSinnREdH06RJE6/DUA6obBf9MmAg8GPRG40xbYCLgbZAX+BlY0ykMSYSeAk4G2gDXFLwWKWUUko5qFIteGvtCgBzZPfyAOBDa20WsN4YswboUnDfGmvtuoLnfVjw2OWHb0AppZRSFefWILujgb+K/L6p4LaSbldKKaWUg8pswRtjfgDqFXPXvdbaL5wP6cB+RwAjCn7NMsYsc2tfAaAWsNPrIFykf19wC+W/L5T/NtC/L9i1qsyTy0zw1trTK7DdzcAxRX5vWHAbpdx++H7HAmMBjDEplanHG+j07wtu+vcFr1D+20D/vmBnjKnUIixuddF/CVxsjIk1xjQBWgC/AAuAFsaYJsaYGGQg3pcuxaCUUkqFrcpOk/sX8AJQG/jaGLPYWnuWtfZ3Y8xEZPBcLnCDtTav4Dk3At8h0+Testb+Xqm/QCmllFJHqOwo+s+Az0q4bzRwxKLA1tpvgG983NVY36MLKvr3BTf9+4JXKP9toH9fsKvU3xcU68ErpZRSyjdai14ppZQKQQGX4I0xFxljfjfG5Btjkg+7725jzBpjzEpjzFlFbu9bcNsaY8wo/0ddMcaYj4wxiwsufxpjFhfc3tgYk1Hkvlc9DrVCjDEPGmM2F/k7+hW5r9jXMlgYY540xvxhjFlijPnMGFO94PaQeO0geD9XJTHGHGOMmWGMWV7wHXNLwe0lvk+DTcH3yNKCvyOl4LajjDHfG2NWF/ys4XWcvjLGtCry+iw2xuwzxtwa7K+dMeYtY8zfRaeBl/R6GfF8wedxiTGmc5k7sNYG1AWpa98KmAkkF7m9DfAbEAs0AdYiA/UiC643BWIKHtPG67+jAn/308D/FVxvDCzzOiYH/qYHgTuKub3Y19LreH38284EogquPw48HmKvXUh8rg77m+oDnQuuVwFWFbwXi32fBuMF+BOoddhtTwCjCq6PKnyvBuul4L25DWgU7K8d0AvoXPQ7o6TXC+gHTAEM0A34uaztB1wL3lq7wlq7spi7DpS/tdauBwrL33ahoPyttTYbKCx/GzSM1PodBEzwOhY/Kem1DBrW2qnW2tyCX+cjNR1CSdB/rg5nrd1qrV1UcH0/sILwqKQ5AHin4Po7wPneheKI04C11toNXgdSWdbaH4Hdh91c0us1AHjXivlAdWNM/dK2H3AJvhShXP72ZGC7tXZ1kduaGGN+NcbMMsac7FVgDrixoDvprSJdg6HwmhV1JXJkXSgUXrtQe40OYYxpDBwP/FxwU3Hv02BkganGmIVGqoEC1LXWbi24vg2o601ojrmYQxtDofLaFSrp9fL5M+lJgjfG/GCMWVbMJahbCMUp5996CYe+YbcCx1prjwduAz4wxlT1Z9zlVcbf9wrQDOiE/E1Pexmrr8rz2hlj7kVqPYwvuCloXrtwZYxJAiYBt1pr9xHk79PD9LTWdkZW7LzBGNOr6J1W+nqDduqUkQJp5wEfF9wUSq/dESr7elVqHnxFWY/K33qhrL/VGBOFLLl7QpHnZAFZBdcXGmPWAi2BSpUtdEN5X0tjzOvA5IJfS3stA0Y5XrvhwDnAaQUfxKB67coQFK+Rr4wx0UhyH2+t/RTAWru9yP1F36dBx1q7ueDn38aYz5BTLduNMfWttVsLunT/9jTIyjkbWFT4moXSa1dESa+Xz5/JYOqiD9Xyt6cDf1hrNxXeYIypbYyJLLjeFPlb13kUX4Uddn7oX0DhSNGSXsugYYzpC9wFnGetTS9ye0i8dgT/5+oIBWNd3gRWWGufKXJ7Se/ToGKMSTTGVCm8jgwEXYa8bpcXPOxywLVFwvzgkN7OUHntDlPS6/UlcFnBaPpuwN4iXfnF8qQFXxoTfuVvDz+fBDKy8mFjTA6QD1xrrT18IEYweMIY0wnpYvoTuAagtNcyiLyIzAL4XvIG86211xIir521NjfIP1fF6QFcCiw1BVNSgXuAS4p7nwahusBnBe/HKOADa+23xpgFwERjzFXABmRAb9ApOGg5g0Nfn2K/Y4KFMWYC0BuoZYzZBDwAPEbxr9c3yEj6NUA6cEWZ2y/oWVRKKaVUCAmmLnqllFJKlZMmeKWUUioEaYJXSimlQpAmeKWUUioEaYJXSimlQpAmeKWUUioEaYJXSimlQpAmeKWUUioE/T93gXMuPsOxNAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3001.9634422490617\n"
      ]
     }
    ],
    "source": [
     "def plot_situation(\n",
-    "    obstacles: list[Polygon],\n",
+    "    obstacles: dict[str, Polygon],\n",
     "    destination: Point,\n",
     "    obstacle_color: Optional[str] = None,\n",
+    "    route: Optional[TimingFrame] = None,\n",
     "    legend: bool = True,\n",
+    "    title: Optional[str] = None,\n",
     ") -> None:\n",
     "    \"\"\"PLots the obstacles into a matplotlib plot.\n",
     "\n",
@@ -365,31 +915,47 @@
     "        destination: The destination that should be reached by the boat.\n",
     "        obstacle_color: The color the obstacles should have. Can be None.\n",
     "        If none all obstacles will have different colors.\n",
+    "        route: The route that should be plotted.\n",
     "        legend: If true plots a legend.\n",
+    "        title: The title of the plot.\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",
+    "\n",
+    "    # Sets a title if one is demanded\n",
+    "    if title:\n",
+    "        plt.title(title)\n",
+    "\n",
+    "    # Plots the obsticles.\n",
     "    if obstacles:\n",
-    "        for polygon in obstacles:\n",
+    "        for polygon in obstacles.values():\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",
+    "\n",
+    "    # Plots the wind direction\n",
     "    # https://www.geeksforgeeks.org/matplotlib-pyplot-arrow-in-python/\n",
     "    plt.arrow(\n",
     "        0,\n",
-    "        int(SIZE_ROUTE * 0.9),\n",
+    "        +int(SIZE_ROUTE * 0.9),\n",
     "        0,\n",
     "        -int(SIZE_ROUTE * 0.1),\n",
     "        head_width=10,\n",
     "        width=4,\n",
     "        label=\"Wind (3Bft)\",\n",
     "    )\n",
+    "\n",
+    "    if route:\n",
+    "        plt.plot(route.points[:, 0], route.points[:, 1], color=\"BLUE\", marker=\".\")\n",
+    "\n",
+    "    # Plots the estination\n",
+    "    if destination:\n",
+    "        plt.scatter(*destination.xy, marker=\"X\", color=\"green\", label=\"Destination\")\n",
+    "    plt.scatter(0, 0, marker=\"o\", color=\"green\", label=\"Start\")\n",
+    "\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",
@@ -398,73 +964,36 @@
     "    plt.show()\n",
     "\n",
     "\n",
-    "for seed in range(5):\n",
+    "# for seed in tqdm(range(0, 30, 1)):\n",
+    "for seed in tqdm(range(0, 20, 1)):\n",
+    "    wind_dir = 180\n",
     "    obstacles = generate_obstacles(seed)\n",
-    "    plot_situation(obstacles, generate_destination(obstacles, seed), \"RED\")\n",
-    "    (route,) = generate_route()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<PIL.Image.Image image mode=RGB size=200x200>"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def generate_image_from_map(\n",
-    "    obstacles: list[Polygon], destination: Point, solution: list[Point]\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",
+    "    destination = generate_destination(obstacles, seed)\n",
+    "    route = None\n",
+    "    try:\n",
+    "        route, _ = experiments.generate_route(\n",
+    "            position=Point(0, 0),\n",
+    "            goal=destination,\n",
+    "            obstacles=obstacles,\n",
+    "            wind=(18, wind_dir),\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"
+    "    except Exception as e:\n",
+    "        print(\"Error\")\n",
+    "        print(e)\n",
+    "        route = None\n",
+    "    plot_situation(\n",
+    "        obstacles=obstacles,\n",
+    "        destination=destination,\n",
+    "        obstacle_color=\"RED\",\n",
+    "        route=route,\n",
+    "        title=f\"Seed: {seed}\",\n",
+    "    )\n",
+    "    print(route.cost)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -475,10 +1004,83 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "5.3 ms ± 111 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccc9b370>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccc99420>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccc9b280>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccc9bc10>]\n"
      ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<PIL.Image.Image image mode=RGB size=200x200>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
+   "source": [
+    "def generate_image_from_map(\n",
+    "    obstacles: dict[str, Polygon],\n",
+    "    destination: Point,\n",
+    "    route: Optional[TimingFrame] = None,\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 dict of obstacles as shapely Polygons. Keyed as a string.\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.values():\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",
+    "seed = 42\n",
+    "wind_dir = 180\n",
+    "obstacles = generate_obstacles(seed)\n",
+    "destination = generate_destination(obstacles, seed)\n",
+    "route = None\n",
+    "try:\n",
+    "    route, _ = experiments.generate_route(\n",
+    "        position=Point(0, 0), goal=destination, obstacles=obstacles, wind=(18, wind_dir)\n",
+    "    )\n",
+    "except Exception as e:\n",
+    "    print(\"Error\")\n",
+    "    print(e)\n",
+    "    route = None\n",
+    "generate_image_from_map(\n",
+    "    obstacles=obstacles,\n",
+    "    destination=destination,\n",
+    "    route=route,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
    "source": [
     "def generate_all_to_series(\n",
     "    seed: Optional[int] = None, image: bool = False\n",
@@ -495,42 +1097,76 @@
     "        - 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",
+    "        - Optionally the image containing all the information.\n",
+    "          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",
+    "    try:\n",
+    "        route, _ = experiments.generate_route(\n",
+    "            position=Point(0, 0),\n",
+    "            goal=destination,\n",
+    "            obstacles=obstacles,\n",
+    "            wind=(18, wind_dir),\n",
+    "        )\n",
+    "    except Exception as e:\n",
+    "        print(\"Error\")\n",
+    "        print(e)\n",
+    "        route = None\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",
+    "            \"image\": generate_image_from_map(obstacles, destination, route)\n",
     "            if image\n",
     "            else pd.NA,\n",
-    "            \"route\": None,\n",
-    "        }\n",
-    "    )\n",
-    "\n",
-    "\n",
-    "%timeit generate_all_to_series()"
+    "            \"route\": route.points if route else pd.NA,\n",
+    "            \"cost\": route.cost if route else pd.NA,\n",
+    "        },\n",
+    "        name=str(seed),\n",
+    "    )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 15,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9b81131c17fb405e9292874fc8dbd922",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/5 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "5.83 s ± 398 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc162f80>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dccc80820>]\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -7.598  13.   ]\n",
+      " [-15.204  26.   ]\n",
+      " [-22.794  39.   ]\n",
+      " [-30.408  52.   ]\n",
+      " [-38.     65.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e4db10>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e4f610>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e4c1c0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e4f2b0>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7df81c0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7dfa3e0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7df9d20>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7df8be0>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7dfb010>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7dfac80>]\n"
      ]
     },
     {
@@ -559,6 +1195,7 @@
        "      <th>destination_y</th>\n",
        "      <th>image</th>\n",
        "      <th>route</th>\n",
+       "      <th>cost</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>seed</th>\n",
@@ -567,154 +1204,385 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>[POLYGON ((-17.62168766659423 -98.369266220295...</td>\n",
+       "      <td>{'0': POLYGON ((-17.62168766659423 -98.3692662...</td>\n",
        "      <td>-66.0</td>\n",
        "      <td>-54.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-6.514627334268863, -5.502693040...</td>\n",
+       "      <td>100.151629</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>[POLYGON ((-97.82715137072381 -82.221167700698...</td>\n",
+       "      <td>{'0': POLYGON ((-97.82715137072381 -82.2211677...</td>\n",
        "      <td>-38.0</td>\n",
        "      <td>65.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-38.0, 65.0]]</td>\n",
+       "      <td>75292.761936</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>[POLYGON ((-46.23706006792075 -76.756994820638...</td>\n",
+       "      <td>{'0': POLYGON ((-46.23706006792075 -76.7569948...</td>\n",
        "      <td>73.0</td>\n",
        "      <td>49.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [43.20648551245758, 31.2114102262...</td>\n",
+       "      <td>21127.886648</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>[POLYGON ((-7.4210414351932155 -83.11109606339...</td>\n",
+       "      <td>{'0': POLYGON ((-7.4210414351932155 -83.111096...</td>\n",
        "      <td>31.0</td>\n",
        "      <td>56.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [5.303962239032221, 10.6856391688...</td>\n",
+       "      <td>63200.630758</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>[POLYGON ((-77.97638439917915 -70.239097296919...</td>\n",
+       "      <td>{'0': POLYGON ((-77.97638439917915 -70.2390972...</td>\n",
        "      <td>47.0</td>\n",
        "      <td>54.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>995</th>\n",
-       "      <td>[POLYGON ((-58.363834699771374 -78.10250502922...</td>\n",
-       "      <td>53.0</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>996</th>\n",
-       "      <td>[POLYGON ((-45.38105849246964 -86.568664678920...</td>\n",
-       "      <td>-66.0</td>\n",
-       "      <td>73.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>997</th>\n",
-       "      <td>[POLYGON ((-82.90222667221566 -92.864813148784...</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>51.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>998</th>\n",
-       "      <td>[POLYGON ((-37.1039416590347 -88.1790371955828...</td>\n",
-       "      <td>-45.0</td>\n",
-       "      <td>64.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>999</th>\n",
-       "      <td>[POLYGON ((-119.59353826736813 -30.54685916387...</td>\n",
-       "      <td>74.0</td>\n",
-       "      <td>-25.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [4.691900284503645, -5.4114328014...</td>\n",
+       "      <td>28914.654143</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1000 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "                                              obstacles  destination_x  \\\n",
        "seed                                                                     \n",
-       "0     [POLYGON ((-17.62168766659423 -98.369266220295...          -66.0   \n",
-       "1     [POLYGON ((-97.82715137072381 -82.221167700698...          -38.0   \n",
-       "2     [POLYGON ((-46.23706006792075 -76.756994820638...           73.0   \n",
-       "3     [POLYGON ((-7.4210414351932155 -83.11109606339...           31.0   \n",
-       "4     [POLYGON ((-77.97638439917915 -70.239097296919...           47.0   \n",
-       "...                                                 ...            ...   \n",
-       "995   [POLYGON ((-58.363834699771374 -78.10250502922...           53.0   \n",
-       "996   [POLYGON ((-45.38105849246964 -86.568664678920...          -66.0   \n",
-       "997   [POLYGON ((-82.90222667221566 -92.864813148784...           41.0   \n",
-       "998   [POLYGON ((-37.1039416590347 -88.1790371955828...          -45.0   \n",
-       "999   [POLYGON ((-119.59353826736813 -30.54685916387...           74.0   \n",
+       "0     {'0': POLYGON ((-17.62168766659423 -98.3692662...          -66.0   \n",
+       "1     {'0': POLYGON ((-97.82715137072381 -82.2211677...          -38.0   \n",
+       "2     {'0': POLYGON ((-46.23706006792075 -76.7569948...           73.0   \n",
+       "3     {'0': POLYGON ((-7.4210414351932155 -83.111096...           31.0   \n",
+       "4     {'0': POLYGON ((-77.97638439917915 -70.2390972...           47.0   \n",
        "\n",
-       "      destination_y image route  \n",
-       "seed                             \n",
-       "0             -54.0   NaN   NaN  \n",
-       "1              65.0   NaN   NaN  \n",
-       "2              49.0   NaN   NaN  \n",
-       "3              56.0   NaN   NaN  \n",
-       "4              54.0   NaN   NaN  \n",
-       "...             ...   ...   ...  \n",
-       "995            52.0   NaN   NaN  \n",
-       "996            73.0   NaN   NaN  \n",
-       "997            51.0   NaN   NaN  \n",
-       "998            64.0   NaN   NaN  \n",
-       "999           -25.0   NaN   NaN  \n",
+       "      destination_y image                                              route  \\\n",
+       "seed                                                                           \n",
+       "0             -54.0  <NA>  [[0.0, 0.0], [-6.514627334268863, -5.502693040...   \n",
+       "1              65.0  <NA>                        [[0.0, 0.0], [-38.0, 65.0]]   \n",
+       "2              49.0  <NA>  [[0.0, 0.0], [43.20648551245758, 31.2114102262...   \n",
+       "3              56.0  <NA>  [[0.0, 0.0], [5.303962239032221, 10.6856391688...   \n",
+       "4              54.0  <NA>  [[0.0, 0.0], [4.691900284503645, -5.4114328014...   \n",
        "\n",
-       "[1000 rows x 5 columns]"
+       "              cost  \n",
+       "seed                \n",
+       "0       100.151629  \n",
+       "1     75292.761936  \n",
+       "2     21127.886648  \n",
+       "3     63200.630758  \n",
+       "4     28914.654143  "
       ]
      },
-     "execution_count": 11,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "%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 = pd.DataFrame(\n",
+    "    [generate_all_to_series(i, image=False) for i in tqdm(range(5))]\n",
+    ").set_index(\"seed\")\n",
     "df.to_pickle(\"test.pickle\")\n",
     "df"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 12,
+   "cell_type": "markdown",
    "metadata": {
     "pycharm": {
-     "name": "#%%\n"
+     "name": "#%% md\n"
     }
    },
+   "source": [
+    "https://programtalk.com/python-examples/PIL.ImageDraw.Draw.polygon/)\n",
+    "https://stackoverflow.com/questions/3654289/scipy-create-2d-polygon-mask"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Start generating routes for seed: 100\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "428dc674eebc4246bbb94fa9817a2328",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/50 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TimingFrame([[  0.      0.   ]\n",
+      " [-14.598   9.2  ]\n",
+      " [-29.204  18.4  ]\n",
+      " [-43.794  27.6  ]\n",
+      " [-58.408  36.8  ]\n",
+      " [-73.     46.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [  7.002 -14.   ]\n",
+      " [ 13.996 -28.   ]\n",
+      " [ 21.006 -42.   ]\n",
+      " [ 27.992 -56.   ]\n",
+      " [ 35.    -70.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [-14.198   7.4  ]\n",
+      " [-28.404  14.8  ]\n",
+      " [-42.594  22.2  ]\n",
+      " [-56.808  29.6  ]\n",
+      " [-71.     37.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e1e590>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e1e620>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e1e2c0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7e1d4b0>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7974b20>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc79765f0>]\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [14.402  8.4  ]\n",
+      " [28.796 16.8  ]\n",
+      " [43.206 25.2  ]\n",
+      " [57.592 33.6  ]\n",
+      " [72.    42.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7aed630>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7aecca0>]\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [  8.202  -5.   ]\n",
+      " [ 16.396 -10.   ]\n",
+      " [ 24.606 -15.   ]\n",
+      " [ 32.792 -20.   ]\n",
+      " [ 41.    -25.   ]])\n",
+      "Error\n",
+      "Splitting a Polygon with a MultiLineString is not supported\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ab6e90>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ab6350>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ab5090>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ab53c0>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ab5b40>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ab49a0>]\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -6.998  14.6  ]\n",
+      " [-14.004  29.2  ]\n",
+      " [-20.994  43.8  ]\n",
+      " [-28.008  58.4  ]\n",
+      " [-35.     73.   ]])\n",
+      "Error\n",
+      "Splitting a Polygon with a MultiLineString is not supported\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 5.802 12.4  ]\n",
+      " [11.596 24.8  ]\n",
+      " [17.406 37.2  ]\n",
+      " [23.192 49.6  ]\n",
+      " [29.    62.   ]])\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [13.802 13.4  ]\n",
+      " [27.596 26.8  ]\n",
+      " [41.406 40.2  ]\n",
+      " [55.192 53.6  ]\n",
+      " [69.    67.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -5.198  -5.8  ]\n",
+      " [-10.404 -11.6  ]\n",
+      " [-15.594 -17.4  ]\n",
+      " [-20.808 -23.2  ]\n",
+      " [-26.    -29.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -9.798  12.8  ]\n",
+      " [-19.604  25.6  ]\n",
+      " [-29.394  38.4  ]\n",
+      " [-39.208  51.2  ]\n",
+      " [-49.     64.   ]])\n",
+      "Error\n",
+      "Splitting a Polygon with a MultiLineString is not supported\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bc9420>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bcb820>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bc9990>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bcb8e0>]\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 6.002 13.4  ]\n",
+      " [11.996 26.8  ]\n",
+      " [18.006 40.2  ]\n",
+      " [23.992 53.6  ]\n",
+      " [30.    67.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -5.798  -8.2  ]\n",
+      " [-11.604 -16.4  ]\n",
+      " [-17.394 -24.6  ]\n",
+      " [-23.208 -32.8  ]\n",
+      " [-29.    -41.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [  6.602 -12.   ]\n",
+      " [ 13.196 -24.   ]\n",
+      " [ 19.806 -36.   ]\n",
+      " [ 26.392 -48.   ]\n",
+      " [ 33.    -60.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7aec9d0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7aed210>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7aecfd0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7aef6d0>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc1177f0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc1155d0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc116a40>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc1143a0>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [  7.002  -6.4  ]\n",
+      " [ 13.996 -12.8  ]\n",
+      " [ 21.006 -19.2  ]\n",
+      " [ 27.992 -25.6  ]\n",
+      " [ 35.    -32.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7df8f40>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7df8880>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc084a90>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc085c00>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc087dc0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc085c30>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc087f10>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc084160>]\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [13.002  5.2  ]\n",
+      " [25.996 10.4  ]\n",
+      " [39.006 15.6  ]\n",
+      " [51.992 20.8  ]\n",
+      " [65.    26.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc084070>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31f5e0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31d7b0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31e830>]\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 7.602 10.   ]\n",
+      " [15.196 20.   ]\n",
+      " [22.806 30.   ]\n",
+      " [30.392 40.   ]\n",
+      " [38.    50.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [  8.402  -9.2  ]\n",
+      " [ 16.796 -18.4  ]\n",
+      " [ 25.206 -27.6  ]\n",
+      " [ 33.592 -36.8  ]\n",
+      " [ 42.    -46.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [  6.002  -6.6  ]\n",
+      " [ 11.996 -13.2  ]\n",
+      " [ 18.006 -19.8  ]\n",
+      " [ 23.992 -26.4  ]\n",
+      " [ 30.    -33.   ]])\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ 14.802 -10.   ]\n",
+      " [ 29.596 -20.   ]\n",
+      " [ 44.406 -30.   ]\n",
+      " [ 59.192 -40.   ]\n",
+      " [ 74.    -50.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31e4d0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc31f430>]\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -7.398   9.   ]\n",
+      " [-14.804  18.   ]\n",
+      " [-22.194  27.   ]\n",
+      " [-29.608  36.   ]\n",
+      " [-37.     45.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc086080>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc085300>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7d38310>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7d39ed0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7d39480>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7d39750>]\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -5.398   8.4  ]\n",
+      " [-10.804  16.8  ]\n",
+      " [-16.194  25.2  ]\n",
+      " [-21.608  33.6  ]\n",
+      " [-27.     42.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04ebf0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04c520>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04e1d0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04c610>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04e260>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04dc60>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04d210>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04d7b0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04dcf0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04d1e0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04d570>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc04ee90>]\n",
+      "Counter exceeded\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 5.602 14.8  ]\n",
+      " [11.196 29.6  ]\n",
+      " [16.806 44.4  ]\n",
+      " [22.392 59.2  ]\n",
+      " [28.    74.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc2d9f30>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc2d97b0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc2db070>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dcc2d8a90>]\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ca56f0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ca48b0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ca7ee0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7ca7d90>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TimingFrame([[  0.      0.   ]\n",
+      " [ -8.398  10.4  ]\n",
+      " [-16.804  20.8  ]\n",
+      " [-25.194  31.2  ]\n",
+      " [-33.608  41.6  ]\n",
+      " [-42.     52.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7c48eb0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7c4bd90>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "TimingFrame([[ 0.     0.   ]\n",
+      " [ 9.602 14.2  ]\n",
+      " [19.196 28.4  ]\n",
+      " [28.806 42.6  ]\n",
+      " [38.392 56.8  ]\n",
+      " [48.    71.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bbf100>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bbc6d0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bbd870>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bbc850>]\n",
+      "TimingFrame([[  0.      0.   ]\n",
+      " [-10.398  -9.   ]\n",
+      " [-20.804 -18.   ]\n",
+      " [-31.194 -27.   ]\n",
+      " [-41.608 -36.   ]\n",
+      " [-52.    -45.   ]])\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bbf4f0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc7bbc5e0>]\n",
+      "Counter exceeded\n",
+      "[<pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77ce110>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77cd480>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77ce590>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77cfdc0>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77cd630>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77cd240>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77cef20>, <pyrate.plan.nearplanner.timing_frame.TimingFrame object at 0x7f0dc77cd870>]\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n",
+      "Counter exceeded\n"
+     ]
+    }
+   ],
+   "source": [
+    "save_frequency = int(os.getenv(\"save_frequency\", \"50\"))\n",
+    "start_seed = int(os.getenv(\"seed_start\", \"0\"))\n",
+    "continues = bool(os.getenv(\"continues\", \"true\"))\n",
+    "\n",
+    "files = glob.glob(\"data/*.pickle\")\n",
+    "seed_groups = {int(file[9:-7]) for file in files}\n",
+    "for next_seeds in range(start_seed, 10_000_000_000, save_frequency):\n",
+    "    if next_seeds in seed_groups:\n",
+    "        continue\n",
+    "    print(f\"Start generating routes for seed: {next_seeds}\")\n",
+    "    tmp_pickle_str: str = f\"data/tmp_{next_seeds:010}.pickle\"\n",
+    "    pd.DataFrame().to_pickle(tmp_pickle_str)\n",
+    "    df = pd.DataFrame(\n",
+    "        [\n",
+    "            generate_all_to_series(i, image=False)\n",
+    "            for i in tqdm(range(next_seeds, next_seeds + save_frequency, 1))\n",
+    "        ]\n",
+    "    ).set_index(\"seed\")\n",
+    "    pickle_to_file = f\"data/raw_{next_seeds:010}.pickle\"\n",
+    "    df.to_pickle(pickle_to_file)\n",
+    "    os.remove(tmp_pickle_str)\n",
+    "    if not continues:\n",
+    "        break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -742,6 +1610,7 @@
        "      <th>destination_y</th>\n",
        "      <th>image</th>\n",
        "      <th>route</th>\n",
+       "      <th>cost</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>seed</th>\n",
@@ -750,154 +1619,632 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>[POLYGON ((-17.62168766659423 -98.369266220295...</td>\n",
-       "      <td>-66.0</td>\n",
+       "      <th>100</th>\n",
+       "      <td>{'0': POLYGON ((3.068164294574821 -111.1117632...</td>\n",
+       "      <td>-73.0</td>\n",
+       "      <td>46.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-73.0, 46.0]]</td>\n",
+       "      <td>155.023787</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101</th>\n",
+       "      <td>{'0': POLYGON ((-73.8299498909983 -100.4603262...</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>-70.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [35.0, -70.0]]</td>\n",
+       "      <td>55.730114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102</th>\n",
+       "      <td>{'0': POLYGON ((-48.56089600298081 -91.2532819...</td>\n",
+       "      <td>-71.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-71.0, 37.0]]</td>\n",
+       "      <td>112.315095</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>{'0': POLYGON ((-91.62253072553011 -99.6000824...</td>\n",
        "      <td>-54.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>-52.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-53.63656024754753, -41.81749050...</td>\n",
+       "      <td>528.372361</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>[POLYGON ((-97.82715137072381 -82.221167700698...</td>\n",
-       "      <td>-38.0</td>\n",
-       "      <td>65.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>[POLYGON ((-46.23706006792075 -76.756994820638...</td>\n",
-       "      <td>73.0</td>\n",
-       "      <td>49.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>[POLYGON ((-7.4210414351932155 -83.11109606339...</td>\n",
-       "      <td>31.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>[POLYGON ((-77.97638439917915 -70.239097296919...</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>54.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>995</th>\n",
-       "      <td>[POLYGON ((-58.363834699771374 -78.10250502922...</td>\n",
-       "      <td>53.0</td>\n",
+       "      <th>104</th>\n",
+       "      <td>{'0': POLYGON ((-30.301442374804513 -119.17178...</td>\n",
        "      <td>52.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>-67.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [5.039208183747747, -6.8217579025...</td>\n",
+       "      <td>142.21778</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>996</th>\n",
-       "      <td>[POLYGON ((-45.38105849246964 -86.568664678920...</td>\n",
-       "      <td>-66.0</td>\n",
-       "      <td>73.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <th>105</th>\n",
+       "      <td>{'0': POLYGON ((-13.98026154677405 -91.7485098...</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>-53.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [4.2, -5.3], [7.642949969244773, ...</td>\n",
+       "      <td>221.211295</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>997</th>\n",
-       "      <td>[POLYGON ((-82.90222667221566 -92.864813148784...</td>\n",
+       "      <th>106</th>\n",
+       "      <td>{'0': POLYGON ((-82.54936306785496 -93.7217051...</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [72.0, 42.0]]</td>\n",
+       "      <td>133.984326</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>{'0': POLYGON ((-63.94552500954688 -86.4149817...</td>\n",
+       "      <td>-59.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-5.611842001145862, 7.3881579988...</td>\n",
+       "      <td>36604.285396</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>108</th>\n",
+       "      <td>{'0': POLYGON ((-76.94237469566472 -78.0003939...</td>\n",
        "      <td>41.0</td>\n",
-       "      <td>51.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>998</th>\n",
-       "      <td>[POLYGON ((-37.1039416590347 -88.1790371955828...</td>\n",
-       "      <td>-45.0</td>\n",
-       "      <td>64.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>999</th>\n",
-       "      <td>[POLYGON ((-119.59353826736813 -30.54685916387...</td>\n",
-       "      <td>74.0</td>\n",
        "      <td>-25.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [41.0, -25.0]]</td>\n",
+       "      <td>29.478222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>{'0': POLYGON ((-10.865095574923775 -102.54100...</td>\n",
+       "      <td>-42.0</td>\n",
+       "      <td>-71.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>110</th>\n",
+       "      <td>{'0': POLYGON ((0.8898241350950777 -89.9936751...</td>\n",
+       "      <td>-60.0</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-36.00808268147913, 32.588026173...</td>\n",
+       "      <td>23837.921485</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>111</th>\n",
+       "      <td>{'0': POLYGON ((-98.72556039040491 -71.7387588...</td>\n",
+       "      <td>-62.0</td>\n",
+       "      <td>-25.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-6.1996715039101105, -2.50200520...</td>\n",
+       "      <td>132.697921</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>{'0': POLYGON ((-91.20905560584092 -115.015802...</td>\n",
+       "      <td>-35.0</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-24.988395242674756, 12.20128063...</td>\n",
+       "      <td>290.772451</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>{'0': POLYGON ((-3.029890965964797 -90.3750911...</td>\n",
+       "      <td>-73.0</td>\n",
+       "      <td>-52.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>{'0': POLYGON ((-71.05046551549411 -49.6489258...</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-8.326825190547554, 14.908786610...</td>\n",
+       "      <td>34396.947149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>{'0': POLYGON ((-53.030225769587304 -94.045042...</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [13.890952263506136, 13.311047736...</td>\n",
+       "      <td>509.269054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>{'0': POLYGON ((-25.904098317638375 -93.474680...</td>\n",
+       "      <td>-26.0</td>\n",
+       "      <td>-29.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-26.0, -29.0]]</td>\n",
+       "      <td>23.433671</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>117</th>\n",
+       "      <td>{'0': POLYGON ((-39.4374182246976 -87.24459167...</td>\n",
+       "      <td>-49.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-49.0, 64.0]]</td>\n",
+       "      <td>4554.147202</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>118</th>\n",
+       "      <td>{'0': POLYGON ((-15.836926938981108 -87.749041...</td>\n",
+       "      <td>-75.0</td>\n",
+       "      <td>-28.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>119</th>\n",
+       "      <td>{'0': POLYGON ((-124.7269776269041 -86.3669172...</td>\n",
+       "      <td>-61.0</td>\n",
+       "      <td>-49.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-30.67588995028915, -23.06314495...</td>\n",
+       "      <td>151.650542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>{'0': POLYGON ((-15.028539407969866 -91.230797...</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-3.368550396698234, 18.660767842...</td>\n",
+       "      <td>65068.453849</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>121</th>\n",
+       "      <td>{'0': POLYGON ((-84.02679630621084 -100.128997...</td>\n",
+       "      <td>-29.0</td>\n",
+       "      <td>-41.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-29.0, -41.0]]</td>\n",
+       "      <td>31.609847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>122</th>\n",
+       "      <td>{'0': POLYGON ((-97.90683011740342 -79.7683567...</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>-60.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [33.0, -60.0]]</td>\n",
+       "      <td>46.943412</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>{'0': POLYGON ((-5.943476326809584 -90.8542322...</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [0.5529109890934887, 6.1044483320...</td>\n",
+       "      <td>31657.440119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124</th>\n",
+       "      <td>{'0': POLYGON ((-23.316798146294683 -77.096118...</td>\n",
+       "      <td>-58.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-5.235607287199362, 6.2257570851...</td>\n",
+       "      <td>23041.214662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>125</th>\n",
+       "      <td>{'0': POLYGON ((-57.54193937039286 -89.4702280...</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>-32.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [35.0, -32.0]]</td>\n",
+       "      <td>28.233988</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>{'0': POLYGON ((-19.55031944851535 -93.0966180...</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [0.9462508280961617, 9.7484372602...</td>\n",
+       "      <td>73436.679464</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>127</th>\n",
+       "      <td>{'0': POLYGON ((-2.7832769492154643 -83.960855...</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [65.0, 26.0]]</td>\n",
+       "      <td>78.35388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>128</th>\n",
+       "      <td>{'0': POLYGON ((-80.50259540651334 -63.9812192...</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>-65.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [4.808520334771234, -6.0968911683...</td>\n",
+       "      <td>397.963763</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129</th>\n",
+       "      <td>{'0': POLYGON ((-54.42762661013539 -70.0826612...</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [38.0, 50.0]]</td>\n",
+       "      <td>4199.458522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>130</th>\n",
+       "      <td>{'0': POLYGON ((-24.525836344188384 -72.208162...</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>-46.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [42.0, -46.0]]</td>\n",
+       "      <td>37.404911</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>131</th>\n",
+       "      <td>{'0': POLYGON ((-93.43860495071749 -79.9222618...</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>-33.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [30.0, -33.0]]</td>\n",
+       "      <td>26.79296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>132</th>\n",
+       "      <td>{'0': POLYGON ((-42.09155263618429 -87.3627291...</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>-50.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [74.0, -50.0]]</td>\n",
+       "      <td>54.162224</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>133</th>\n",
+       "      <td>{'0': POLYGON ((-53.276884100947974 -98.800599...</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-8.416693266320458, 35.785316321...</td>\n",
+       "      <td>38475.468469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>{'0': POLYGON ((-50.72260286408097 -19.9374970...</td>\n",
+       "      <td>-37.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-7.362078803239208, 9.0359211967...</td>\n",
+       "      <td>1223.489182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>135</th>\n",
+       "      <td>{'0': POLYGON ((-74.71402718666764 -114.426610...</td>\n",
+       "      <td>-47.0</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-4.357685710692846, 5.7369257157...</td>\n",
+       "      <td>28626.409454</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136</th>\n",
+       "      <td>{'0': POLYGON ((-15.770573247641416 -107.49759...</td>\n",
+       "      <td>-73.0</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-7.300000000000001, 6.9999999999...</td>\n",
+       "      <td>21869.658701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>137</th>\n",
+       "      <td>{'0': POLYGON ((-87.28281036146248 -75.6304517...</td>\n",
+       "      <td>-27.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-16.493544651395492, 6.920594046...</td>\n",
+       "      <td>187.746088</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>138</th>\n",
+       "      <td>{'0': POLYGON ((-45.03638683312978 -95.7985867...</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>-41.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [21.62848033851879, -21.081031425...</td>\n",
+       "      <td>2353.685811</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>139</th>\n",
+       "      <td>{'0': POLYGON ((-70.85168811441109 -95.7518007...</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-2.9843000204933965, 8.451269335...</td>\n",
+       "      <td>55037.856869</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>140</th>\n",
+       "      <td>{'0': POLYGON ((-53.68466165592503 -111.857668...</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-2.296955559623935, 21.447991140...</td>\n",
+       "      <td>73200.819829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>141</th>\n",
+       "      <td>{'0': POLYGON ((-89.65481529001046 -92.2475036...</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>-26.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-5.02010361013792, -0.2203627542...</td>\n",
+       "      <td>285.346788</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>142</th>\n",
+       "      <td>{'0': POLYGON ((-70.79146217666272 -55.2497557...</td>\n",
+       "      <td>-26.0</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [5.457867906718783, 4.36237102126...</td>\n",
+       "      <td>41387.326613</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>143</th>\n",
+       "      <td>{'0': POLYGON ((-38.871939154105725 -100.58623...</td>\n",
+       "      <td>-42.0</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-42.0, 52.0]]</td>\n",
+       "      <td>1669.715249</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>144</th>\n",
+       "      <td>{'0': POLYGON ((-107.59666030553088 -118.77390...</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [3.8684622267769395, -3.868462226...</td>\n",
+       "      <td>17226.490002</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>145</th>\n",
+       "      <td>{'0': POLYGON ((-46.70179950750857 -83.5923427...</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [8.755550859809746, 15.0464491401...</td>\n",
+       "      <td>64099.720215</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>{'0': POLYGON ((-55.26784992451735 -93.6100833...</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [16.482519145915422, 11.876908516...</td>\n",
+       "      <td>4204.212717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>{'0': POLYGON ((-26.112695030917337 -92.894211...</td>\n",
+       "      <td>-52.0</td>\n",
+       "      <td>-45.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-10.301116448575312, -9.09383838...</td>\n",
+       "      <td>60.657477</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>{'0': POLYGON ((4.349420058841754 -75.99892130...</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>-59.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [6.121023387635925, -6.8075746553...</td>\n",
+       "      <td>346.223675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>{'0': POLYGON ((-47.05087697636738 -89.7051401...</td>\n",
+       "      <td>-32.0</td>\n",
+       "      <td>-74.0</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>[[0.0, 0.0], [-6.066580532728372, 3.8927733528...</td>\n",
+       "      <td>302.962354</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1000 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "                                              obstacles  destination_x  \\\n",
        "seed                                                                     \n",
-       "0     [POLYGON ((-17.62168766659423 -98.369266220295...          -66.0   \n",
-       "1     [POLYGON ((-97.82715137072381 -82.221167700698...          -38.0   \n",
-       "2     [POLYGON ((-46.23706006792075 -76.756994820638...           73.0   \n",
-       "3     [POLYGON ((-7.4210414351932155 -83.11109606339...           31.0   \n",
-       "4     [POLYGON ((-77.97638439917915 -70.239097296919...           47.0   \n",
-       "...                                                 ...            ...   \n",
-       "995   [POLYGON ((-58.363834699771374 -78.10250502922...           53.0   \n",
-       "996   [POLYGON ((-45.38105849246964 -86.568664678920...          -66.0   \n",
-       "997   [POLYGON ((-82.90222667221566 -92.864813148784...           41.0   \n",
-       "998   [POLYGON ((-37.1039416590347 -88.1790371955828...          -45.0   \n",
-       "999   [POLYGON ((-119.59353826736813 -30.54685916387...           74.0   \n",
+       "100   {'0': POLYGON ((3.068164294574821 -111.1117632...          -73.0   \n",
+       "101   {'0': POLYGON ((-73.8299498909983 -100.4603262...           35.0   \n",
+       "102   {'0': POLYGON ((-48.56089600298081 -91.2532819...          -71.0   \n",
+       "103   {'0': POLYGON ((-91.62253072553011 -99.6000824...          -54.0   \n",
+       "104   {'0': POLYGON ((-30.301442374804513 -119.17178...           52.0   \n",
+       "105   {'0': POLYGON ((-13.98026154677405 -91.7485098...           42.0   \n",
+       "106   {'0': POLYGON ((-82.54936306785496 -93.7217051...           72.0   \n",
+       "107   {'0': POLYGON ((-63.94552500954688 -86.4149817...          -59.0   \n",
+       "108   {'0': POLYGON ((-76.94237469566472 -78.0003939...           41.0   \n",
+       "109   {'0': POLYGON ((-10.865095574923775 -102.54100...          -42.0   \n",
+       "110   {'0': POLYGON ((0.8898241350950777 -89.9936751...          -60.0   \n",
+       "111   {'0': POLYGON ((-98.72556039040491 -71.7387588...          -62.0   \n",
+       "112   {'0': POLYGON ((-91.20905560584092 -115.015802...          -35.0   \n",
+       "113   {'0': POLYGON ((-3.029890965964797 -90.3750911...          -73.0   \n",
+       "114   {'0': POLYGON ((-71.05046551549411 -49.6489258...           29.0   \n",
+       "115   {'0': POLYGON ((-53.030225769587304 -94.045042...           69.0   \n",
+       "116   {'0': POLYGON ((-25.904098317638375 -93.474680...          -26.0   \n",
+       "117   {'0': POLYGON ((-39.4374182246976 -87.24459167...          -49.0   \n",
+       "118   {'0': POLYGON ((-15.836926938981108 -87.749041...          -75.0   \n",
+       "119   {'0': POLYGON ((-124.7269776269041 -86.3669172...          -61.0   \n",
+       "120   {'0': POLYGON ((-15.028539407969866 -91.230797...           30.0   \n",
+       "121   {'0': POLYGON ((-84.02679630621084 -100.128997...          -29.0   \n",
+       "122   {'0': POLYGON ((-97.90683011740342 -79.7683567...           33.0   \n",
+       "123   {'0': POLYGON ((-5.943476326809584 -90.8542322...           34.0   \n",
+       "124   {'0': POLYGON ((-23.316798146294683 -77.096118...          -58.0   \n",
+       "125   {'0': POLYGON ((-57.54193937039286 -89.4702280...           35.0   \n",
+       "126   {'0': POLYGON ((-19.55031944851535 -93.0966180...           27.0   \n",
+       "127   {'0': POLYGON ((-2.7832769492154643 -83.960855...           65.0   \n",
+       "128   {'0': POLYGON ((-80.50259540651334 -63.9812192...           44.0   \n",
+       "129   {'0': POLYGON ((-54.42762661013539 -70.0826612...           38.0   \n",
+       "130   {'0': POLYGON ((-24.525836344188384 -72.208162...           42.0   \n",
+       "131   {'0': POLYGON ((-93.43860495071749 -79.9222618...           30.0   \n",
+       "132   {'0': POLYGON ((-42.09155263618429 -87.3627291...           74.0   \n",
+       "133   {'0': POLYGON ((-53.276884100947974 -98.800599...           32.0   \n",
+       "134   {'0': POLYGON ((-50.72260286408097 -19.9374970...          -37.0   \n",
+       "135   {'0': POLYGON ((-74.71402718666764 -114.426610...          -47.0   \n",
+       "136   {'0': POLYGON ((-15.770573247641416 -107.49759...          -73.0   \n",
+       "137   {'0': POLYGON ((-87.28281036146248 -75.6304517...          -27.0   \n",
+       "138   {'0': POLYGON ((-45.03638683312978 -95.7985867...           42.0   \n",
+       "139   {'0': POLYGON ((-70.85168811441109 -95.7518007...           52.0   \n",
+       "140   {'0': POLYGON ((-53.68466165592503 -111.857668...           28.0   \n",
+       "141   {'0': POLYGON ((-89.65481529001046 -92.2475036...           43.0   \n",
+       "142   {'0': POLYGON ((-70.79146217666272 -55.2497557...          -26.0   \n",
+       "143   {'0': POLYGON ((-38.871939154105725 -100.58623...          -42.0   \n",
+       "144   {'0': POLYGON ((-107.59666030553088 -118.77390...           28.0   \n",
+       "145   {'0': POLYGON ((-46.70179950750857 -83.5923427...           48.0   \n",
+       "146   {'0': POLYGON ((-55.26784992451735 -93.6100833...           40.0   \n",
+       "147   {'0': POLYGON ((-26.112695030917337 -92.894211...          -52.0   \n",
+       "148   {'0': POLYGON ((4.349420058841754 -75.99892130...           70.0   \n",
+       "149   {'0': POLYGON ((-47.05087697636738 -89.7051401...          -32.0   \n",
        "\n",
-       "      destination_y image route  \n",
-       "seed                             \n",
-       "0             -54.0   NaN   NaN  \n",
-       "1              65.0   NaN   NaN  \n",
-       "2              49.0   NaN   NaN  \n",
-       "3              56.0   NaN   NaN  \n",
-       "4              54.0   NaN   NaN  \n",
-       "...             ...   ...   ...  \n",
-       "995            52.0   NaN   NaN  \n",
-       "996            73.0   NaN   NaN  \n",
-       "997            51.0   NaN   NaN  \n",
-       "998            64.0   NaN   NaN  \n",
-       "999           -25.0   NaN   NaN  \n",
+       "      destination_y image                                              route  \\\n",
+       "seed                                                                           \n",
+       "100            46.0  <NA>                        [[0.0, 0.0], [-73.0, 46.0]]   \n",
+       "101           -70.0  <NA>                        [[0.0, 0.0], [35.0, -70.0]]   \n",
+       "102            37.0  <NA>                        [[0.0, 0.0], [-71.0, 37.0]]   \n",
+       "103           -52.0  <NA>  [[0.0, 0.0], [-53.63656024754753, -41.81749050...   \n",
+       "104           -67.0  <NA>  [[0.0, 0.0], [5.039208183747747, -6.8217579025...   \n",
+       "105           -53.0  <NA>  [[0.0, 0.0], [4.2, -5.3], [7.642949969244773, ...   \n",
+       "106            42.0  <NA>                         [[0.0, 0.0], [72.0, 42.0]]   \n",
+       "107            71.0  <NA>  [[0.0, 0.0], [-5.611842001145862, 7.3881579988...   \n",
+       "108           -25.0  <NA>                        [[0.0, 0.0], [41.0, -25.0]]   \n",
+       "109           -71.0  <NA>                                               <NA>   \n",
+       "110            50.0  <NA>  [[0.0, 0.0], [-36.00808268147913, 32.588026173...   \n",
+       "111           -25.0  <NA>  [[0.0, 0.0], [-6.1996715039101105, -2.50200520...   \n",
+       "112            73.0  <NA>  [[0.0, 0.0], [-24.988395242674756, 12.20128063...   \n",
+       "113           -52.0  <NA>                                               <NA>   \n",
+       "114            62.0  <NA>  [[0.0, 0.0], [-8.326825190547554, 14.908786610...   \n",
+       "115            67.0  <NA>  [[0.0, 0.0], [13.890952263506136, 13.311047736...   \n",
+       "116           -29.0  <NA>                       [[0.0, 0.0], [-26.0, -29.0]]   \n",
+       "117            64.0  <NA>                        [[0.0, 0.0], [-49.0, 64.0]]   \n",
+       "118           -28.0  <NA>                                               <NA>   \n",
+       "119           -49.0  <NA>  [[0.0, 0.0], [-30.67588995028915, -23.06314495...   \n",
+       "120            67.0  <NA>  [[0.0, 0.0], [-3.368550396698234, 18.660767842...   \n",
+       "121           -41.0  <NA>                       [[0.0, 0.0], [-29.0, -41.0]]   \n",
+       "122           -60.0  <NA>                        [[0.0, 0.0], [33.0, -60.0]]   \n",
+       "123            51.0  <NA>  [[0.0, 0.0], [0.5529109890934887, 6.1044483320...   \n",
+       "124            60.0  <NA>  [[0.0, 0.0], [-5.235607287199362, 6.2257570851...   \n",
+       "125           -32.0  <NA>                        [[0.0, 0.0], [35.0, -32.0]]   \n",
+       "126            36.0  <NA>  [[0.0, 0.0], [0.9462508280961617, 9.7484372602...   \n",
+       "127            26.0  <NA>                         [[0.0, 0.0], [65.0, 26.0]]   \n",
+       "128           -65.0  <NA>  [[0.0, 0.0], [4.808520334771234, -6.0968911683...   \n",
+       "129            50.0  <NA>                         [[0.0, 0.0], [38.0, 50.0]]   \n",
+       "130           -46.0  <NA>                        [[0.0, 0.0], [42.0, -46.0]]   \n",
+       "131           -33.0  <NA>                        [[0.0, 0.0], [30.0, -33.0]]   \n",
+       "132           -50.0  <NA>                        [[0.0, 0.0], [74.0, -50.0]]   \n",
+       "133            42.0  <NA>  [[0.0, 0.0], [-8.416693266320458, 35.785316321...   \n",
+       "134            45.0  <NA>  [[0.0, 0.0], [-7.362078803239208, 9.0359211967...   \n",
+       "135            56.0  <NA>  [[0.0, 0.0], [-4.357685710692846, 5.7369257157...   \n",
+       "136            70.0  <NA>  [[0.0, 0.0], [-7.300000000000001, 6.9999999999...   \n",
+       "137            42.0  <NA>  [[0.0, 0.0], [-16.493544651395492, 6.920594046...   \n",
+       "138           -41.0  <NA>  [[0.0, 0.0], [21.62848033851879, -21.081031425...   \n",
+       "139            73.0  <NA>  [[0.0, 0.0], [-2.9843000204933965, 8.451269335...   \n",
+       "140            74.0  <NA>  [[0.0, 0.0], [-2.296955559623935, 21.447991140...   \n",
+       "141           -26.0  <NA>  [[0.0, 0.0], [-5.02010361013792, -0.2203627542...   \n",
+       "142            66.0  <NA>  [[0.0, 0.0], [5.457867906718783, 4.36237102126...   \n",
+       "143            52.0  <NA>                        [[0.0, 0.0], [-42.0, 52.0]]   \n",
+       "144            47.0  <NA>  [[0.0, 0.0], [3.8684622267769395, -3.868462226...   \n",
+       "145            71.0  <NA>  [[0.0, 0.0], [8.755550859809746, 15.0464491401...   \n",
+       "146            27.0  <NA>  [[0.0, 0.0], [16.482519145915422, 11.876908516...   \n",
+       "147           -45.0  <NA>  [[0.0, 0.0], [-10.301116448575312, -9.09383838...   \n",
+       "148           -59.0  <NA>  [[0.0, 0.0], [6.121023387635925, -6.8075746553...   \n",
+       "149           -74.0  <NA>  [[0.0, 0.0], [-6.066580532728372, 3.8927733528...   \n",
        "\n",
-       "[1000 rows x 5 columns]"
+       "              cost  \n",
+       "seed                \n",
+       "100     155.023787  \n",
+       "101      55.730114  \n",
+       "102     112.315095  \n",
+       "103     528.372361  \n",
+       "104      142.21778  \n",
+       "105     221.211295  \n",
+       "106     133.984326  \n",
+       "107   36604.285396  \n",
+       "108      29.478222  \n",
+       "109           <NA>  \n",
+       "110   23837.921485  \n",
+       "111     132.697921  \n",
+       "112     290.772451  \n",
+       "113           <NA>  \n",
+       "114   34396.947149  \n",
+       "115     509.269054  \n",
+       "116      23.433671  \n",
+       "117    4554.147202  \n",
+       "118           <NA>  \n",
+       "119     151.650542  \n",
+       "120   65068.453849  \n",
+       "121      31.609847  \n",
+       "122      46.943412  \n",
+       "123   31657.440119  \n",
+       "124   23041.214662  \n",
+       "125      28.233988  \n",
+       "126   73436.679464  \n",
+       "127       78.35388  \n",
+       "128     397.963763  \n",
+       "129    4199.458522  \n",
+       "130      37.404911  \n",
+       "131       26.79296  \n",
+       "132      54.162224  \n",
+       "133   38475.468469  \n",
+       "134    1223.489182  \n",
+       "135   28626.409454  \n",
+       "136   21869.658701  \n",
+       "137     187.746088  \n",
+       "138    2353.685811  \n",
+       "139   55037.856869  \n",
+       "140   73200.819829  \n",
+       "141     285.346788  \n",
+       "142   41387.326613  \n",
+       "143    1669.715249  \n",
+       "144   17226.490002  \n",
+       "145   64099.720215  \n",
+       "146    4204.212717  \n",
+       "147      60.657477  \n",
+       "148     346.223675  \n",
+       "149     302.962354  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df2 = pd.read_pickle(\"test.pickle\")\n",
-    "df2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "pycharm": {
-     "name": "#%% md\n"
-    }
-   },
-   "source": [
-    "https://programtalk.com/python-examples/PIL.ImageDraw.Draw.polygon/)\n",
-    "https://stackoverflow.com/questions/3654289/scipy-create-2d-polygon-mask"
+    "pd.read_pickle(pickle_to_file)"
    ]
   },
   {
@@ -913,12 +2260,75 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "from shapely.wkt import loads\n",
+    "from shapely.wkt import loads\n",
+    "from shapely.validation import explain_validity\n",
+    "from shapely.geometry.polygon import LinearRing\n",
+    "\n",
+    "l = loads(\n",
+    "    \"LINESTRING (9603380.577551289 2719693.31939431, 9602238.01822002 2719133.882441244, 9601011.900844947 2718804.012436028, 9599670.800095448 2718931.680117098, 9599567.204161201 2717889.384686942, 9600852.184025297 2721120.409265322, 9599710.80929024 2720511.270897166, 9602777.832940497 2718125.875545334)\"\n",
+    ")\n",
+    "\n",
+    "print(l.is_simple)  # False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n",
+      "Ring Self-intersection[9601676.14644973 2718982.71857426]\n"
+     ]
+    }
+   ],
+   "source": [
+    "ring = LinearRing(list(l.coords))\n",
+    "\n",
+    "print(ring.is_simple)  # False\n",
+    "print(\n",
+    "    explain_validity(ring)\n",
+    ")  # Ring Self-intersection[9600397.5202531 2719977.17748099]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": []
   }
diff --git a/poetry.lock b/poetry.lock
index e509134..1cbdc97 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,17 +1,13 @@
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.9, <3.11"
-content-hash = "a857399cb178a8a975b8a57ba19fc0a4e2540f790b7318feb8c589057f449059"
+content-hash = "ec16222486b3250704b376cffdeb2bae938d6208a6adfd754237f980800d1a69"
 
 [metadata.files]
 absl-py = [
     {file = "absl-py-1.0.0.tar.gz", hash = "sha256:ac511215c01ee9ae47b19716599e8ccfa746f2e18de72bdf641b79b22afa27ea"},
     {file = "absl_py-1.0.0-py3-none-any.whl", hash = "sha256:84e6dcdc69c947d0c13e5457d056bd43cade4c2393dce00d684aedea77ddc2a3"},
 ]
-affine = [
-    {file = "affine-2.3.1-py2.py3-none-any.whl", hash = "sha256:de17839ff05e965580870c3b15e14cefd7992fa05dba9202a0879bbed0c171e4"},
-    {file = "affine-2.3.1.tar.gz", hash = "sha256:d676de66157ad6af99ffd94e0f54e89dfc35b0fb7252ead2ed0ad2dca431bdd0"},
-]
 appnope = [
     {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
     {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
@@ -68,29 +64,29 @@ beautifulsoup4 = [
     {file = "beautifulsoup4-4.11.1.tar.gz", hash = "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"},
 ]
 black = [
-    {file = "black-22.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2497f9c2386572e28921fa8bec7be3e51de6801f7459dffd6e62492531c47e09"},
-    {file = "black-22.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5795a0375eb87bfe902e80e0c8cfaedf8af4d49694d69161e5bd3206c18618bb"},
-    {file = "black-22.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e3556168e2e5c49629f7b0f377070240bd5511e45e25a4497bb0073d9dda776a"},
-    {file = "black-22.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67c8301ec94e3bcc8906740fe071391bce40a862b7be0b86fb5382beefecd968"},
-    {file = "black-22.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:fd57160949179ec517d32ac2ac898b5f20d68ed1a9c977346efbac9c2f1e779d"},
-    {file = "black-22.3.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:cc1e1de68c8e5444e8f94c3670bb48a2beef0e91dddfd4fcc29595ebd90bb9ce"},
-    {file = "black-22.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2fc92002d44746d3e7db7cf9313cf4452f43e9ea77a2c939defce3b10b5c82"},
-    {file = "black-22.3.0-cp36-cp36m-win_amd64.whl", hash = "sha256:a6342964b43a99dbc72f72812bf88cad8f0217ae9acb47c0d4f141a6416d2d7b"},
-    {file = "black-22.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:328efc0cc70ccb23429d6be184a15ce613f676bdfc85e5fe8ea2a9354b4e9015"},
-    {file = "black-22.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:06f9d8846f2340dfac80ceb20200ea5d1b3f181dd0556b47af4e8e0b24fa0a6b"},
-    {file = "black-22.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:ad4efa5fad66b903b4a5f96d91461d90b9507a812b3c5de657d544215bb7877a"},
-    {file = "black-22.3.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e8477ec6bbfe0312c128e74644ac8a02ca06bcdb8982d4ee06f209be28cdf163"},
-    {file = "black-22.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:637a4014c63fbf42a692d22b55d8ad6968a946b4a6ebc385c5505d9625b6a464"},
-    {file = "black-22.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:863714200ada56cbc366dc9ae5291ceb936573155f8bf8e9de92aef51f3ad0f0"},
-    {file = "black-22.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10dbe6e6d2988049b4655b2b739f98785a884d4d6b85bc35133a8fb9a2233176"},
-    {file = "black-22.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:cee3e11161dde1b2a33a904b850b0899e0424cc331b7295f2a9698e79f9a69a0"},
-    {file = "black-22.3.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5891ef8abc06576985de8fa88e95ab70641de6c1fca97e2a15820a9b69e51b20"},
-    {file = "black-22.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:30d78ba6bf080eeaf0b7b875d924b15cd46fec5fd044ddfbad38c8ea9171043a"},
-    {file = "black-22.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ee8f1f7228cce7dffc2b464f07ce769f478968bfb3dd1254a4c2eeed84928aad"},
-    {file = "black-22.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ee227b696ca60dd1c507be80a6bc849a5a6ab57ac7352aad1ffec9e8b805f21"},
-    {file = "black-22.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:9b542ced1ec0ceeff5b37d69838106a6348e60db7b8fdd245294dc1d26136265"},
-    {file = "black-22.3.0-py3-none-any.whl", hash = "sha256:bc58025940a896d7e5356952228b68f793cf5fcb342be703c3a2669a1488cb72"},
-    {file = "black-22.3.0.tar.gz", hash = "sha256:35020b8886c022ced9282b51b5a875b6d1ab0c387b31a065b84db7c33085ca79"},
+    {file = "black-22.6.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f586c26118bc6e714ec58c09df0157fe2d9ee195c764f630eb0d8e7ccce72e69"},
+    {file = "black-22.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b270a168d69edb8b7ed32c193ef10fd27844e5c60852039599f9184460ce0807"},
+    {file = "black-22.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6797f58943fceb1c461fb572edbe828d811e719c24e03375fd25170ada53825e"},
+    {file = "black-22.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c85928b9d5f83b23cee7d0efcb310172412fbf7cb9d9ce963bd67fd141781def"},
+    {file = "black-22.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:f6fe02afde060bbeef044af7996f335fbe90b039ccf3f5eb8f16df8b20f77666"},
+    {file = "black-22.6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:cfaf3895a9634e882bf9d2363fed5af8888802d670f58b279b0bece00e9a872d"},
+    {file = "black-22.6.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94783f636bca89f11eb5d50437e8e17fbc6a929a628d82304c80fa9cd945f256"},
+    {file = "black-22.6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:2ea29072e954a4d55a2ff58971b83365eba5d3d357352a07a7a4df0d95f51c78"},
+    {file = "black-22.6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e439798f819d49ba1c0bd9664427a05aab79bfba777a6db94fd4e56fae0cb849"},
+    {file = "black-22.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:187d96c5e713f441a5829e77120c269b6514418f4513a390b0499b0987f2ff1c"},
+    {file = "black-22.6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:074458dc2f6e0d3dab7928d4417bb6957bb834434516f21514138437accdbe90"},
+    {file = "black-22.6.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a218d7e5856f91d20f04e931b6f16d15356db1c846ee55f01bac297a705ca24f"},
+    {file = "black-22.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:568ac3c465b1c8b34b61cd7a4e349e93f91abf0f9371eda1cf87194663ab684e"},
+    {file = "black-22.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6c1734ab264b8f7929cef8ae5f900b85d579e6cbfde09d7387da8f04771b51c6"},
+    {file = "black-22.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9a3ac16efe9ec7d7381ddebcc022119794872abce99475345c5a61aa18c45ad"},
+    {file = "black-22.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:b9fd45787ba8aa3f5e0a0a98920c1012c884622c6c920dbe98dbd05bc7c70fbf"},
+    {file = "black-22.6.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7ba9be198ecca5031cd78745780d65a3f75a34b2ff9be5837045dce55db83d1c"},
+    {file = "black-22.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a3db5b6409b96d9bd543323b23ef32a1a2b06416d525d27e0f67e74f1446c8f2"},
+    {file = "black-22.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:560558527e52ce8afba936fcce93a7411ab40c7d5fe8c2463e279e843c0328ee"},
+    {file = "black-22.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b154e6bbde1e79ea3260c4b40c0b7b3109ffcdf7bc4ebf8859169a6af72cd70b"},
+    {file = "black-22.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:4af5bc0e1f96be5ae9bd7aaec219c901a94d6caa2484c21983d043371c733fc4"},
+    {file = "black-22.6.0-py3-none-any.whl", hash = "sha256:ac609cf8ef5e7115ddd07d85d988d074ed00e10fbc3445aee393e70164a2219c"},
+    {file = "black-22.6.0.tar.gz", hash = "sha256:6c6d39e28aed379aec40da1c65434c77d75e65bb59a1e1c283de545fb4e7c6c9"},
 ]
 bleach = [
     {file = "bleach-5.0.0-py3-none-any.whl", hash = "sha256:08a1fe86d253b5c88c92cc3d810fd8048a16d15762e1e5b74d502256e5926aa1"},
@@ -164,14 +160,6 @@ click = [
     {file = "click-8.1.2-py3-none-any.whl", hash = "sha256:24e1a4a9ec5bf6299411369b208c1df2188d9eb8d916302fe6bf03faed227f1e"},
     {file = "click-8.1.2.tar.gz", hash = "sha256:479707fe14d9ec9a0757618b7a100a0ae4c4e236fac5b7f80ca68028141a1a72"},
 ]
-click-plugins = [
-    {file = "click-plugins-1.1.1.tar.gz", hash = "sha256:46ab999744a9d831159c3411bb0c79346d94a444df9a3a3742e9ed63645f264b"},
-    {file = "click_plugins-1.1.1-py2.py3-none-any.whl", hash = "sha256:5d262006d3222f5057fd81e1623d4443e41dcda5dc815c06b442aa3c02889fc8"},
-]
-cligj = [
-    {file = "cligj-0.7.2-py3-none-any.whl", hash = "sha256:c1ca117dbce1fe20a5809dc96f01e1c2840f6dcc939b3ddbb1111bf330ba82df"},
-    {file = "cligj-0.7.2.tar.gz", hash = "sha256:a4bc13d623356b373c2c27c53dbd9c68cae5d526270bfa71f6c6fa69669c6b27"},
-]
 colorama = [
     {file = "colorama-0.4.4-py2.py3-none-any.whl", hash = "sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2"},
     {file = "colorama-0.4.4.tar.gz", hash = "sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b"},
@@ -965,17 +953,6 @@ qtpy = [
     {file = "QtPy-2.0.1-py3-none-any.whl", hash = "sha256:d93f2c98e97387fcc9d623d509772af5b6c15ab9d8f9f4c5dfbad9a73ad34812"},
     {file = "QtPy-2.0.1.tar.gz", hash = "sha256:adfd073ffbd2de81dc7aaa0b983499ef5c59c96adcfdcc9dea60d42ca885eb8f"},
 ]
-rasterio = [
-    {file = "rasterio-1.2.10-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f86efb0e4989201f244d6818575d442b716ce81af6cd969c3caead76b9690837"},
-    {file = "rasterio-1.2.10-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:831b6dbefb409c3ece23fa219d8446a7534e30c69a075fd366e72742b1f94c58"},
-    {file = "rasterio-1.2.10-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:42a1a6364313c384fcd631d850792621301e930449b47f72ced048c415c9c84e"},
-    {file = "rasterio-1.2.10-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:1572003273225162933d4c88729076ac39050e7becd9de7d31988d1dd40942c1"},
-    {file = "rasterio-1.2.10-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8f9867a3b6663396260fc5bdfbea372cac9202074b709478db741767f40dfffc"},
-    {file = "rasterio-1.2.10-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ba95aa3221814e364ef49cf8dd8ca4a73e2ea702bd9228a3a845e197091792ae"},
-    {file = "rasterio-1.2.10-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2394ce0ae1e7b49b456ddc6bbf00ce6840656e926046c1a5a54cd0f66ea67dc4"},
-    {file = "rasterio-1.2.10-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c73248b4ba0564798bf64df869834821a7b823a4c9ceda3de9b772d69c3f5405"},
-    {file = "rasterio-1.2.10.tar.gz", hash = "sha256:6062456047ba6494fe18bd0da98a383b6fad5306b16cd52a22e76c59172a2b5f"},
-]
 requests = [
     {file = "requests-2.27.1-py2.py3-none-any.whl", hash = "sha256:f22fa1e554c9ddfd16e6e41ac79759e17be9e492b3587efa038054674760e72d"},
     {file = "requests-2.27.1.tar.gz", hash = "sha256:68d7c56fd5a8999887728ef304a6d12edc7be74f1cfa47714fc8b414525c9a61"},
@@ -1061,10 +1038,6 @@ six = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
-snuggs = [
-    {file = "snuggs-1.4.7-py3-none-any.whl", hash = "sha256:988dde5d4db88e9d71c99457404773dabcc7a1c45971bfbe81900999942d9f07"},
-    {file = "snuggs-1.4.7.tar.gz", hash = "sha256:501cf113fe3892e14e2fee76da5cd0606b7e149c411c271898e6259ebde2617b"},
-]
 soupsieve = [
     {file = "soupsieve-2.3.2.post1-py3-none-any.whl", hash = "sha256:3b2503d3c7084a42b1ebd08116e5f81aadfaea95863628c80a3b774a11b7c759"},
     {file = "soupsieve-2.3.2.post1.tar.gz", hash = "sha256:fc53893b3da2c33de295667a0e19f078c14bf86544af307354de5fcf12a3f30d"},
@@ -1181,6 +1154,10 @@ tornado = [
     {file = "tornado-6.1-cp39-cp39-win_amd64.whl", hash = "sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4"},
     {file = "tornado-6.1.tar.gz", hash = "sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791"},
 ]
+tqdm = [
+    {file = "tqdm-4.64.0-py2.py3-none-any.whl", hash = "sha256:74a2cdefe14d11442cedf3ba4e21a3b84ff9a2dbdc6cfae2c34addb2a14a5ea6"},
+    {file = "tqdm-4.64.0.tar.gz", hash = "sha256:40be55d30e200777a307a7585aee69e4eabb46b4ec6a4b4a5f2d9f11e7d5408d"},
+]
 traitlets = [
     {file = "traitlets-5.1.1-py3-none-any.whl", hash = "sha256:2d313cc50a42cd6c277e7d7dc8d4d7fedd06a2c215f78766ae7b1a66277e0033"},
     {file = "traitlets-5.1.1.tar.gz", hash = "sha256:059f456c5a7c1c82b98c2e8c799f39c9b8128f6d0d46941ee118daace9eb70c7"},
@@ -1291,17 +1268,6 @@ python-versions = ">=3.6"
 [package.dependencies]
 six = "*"
 
-[[package]]
-name = "affine"
-version = "2.3.1"
-description = "Matrices describing affine transformation of the plane."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.extras]
-test = ["pytest (>=4.6)", "pytest-cov", "pydocstyle", "flake8", "coveralls"]
-
 [[package]]
 name = "appnope"
 version = "0.1.3"
@@ -1378,7 +1344,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 name = "attrs"
 version = "21.4.0"
 description = "Classes Without Boilerplate"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
@@ -1413,7 +1379,7 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "22.3.0"
+version = "22.6.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
@@ -1426,7 +1392,7 @@ mypy-extensions = ">=0.4.3"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 tokenize-rt = {version = ">=3.2.0", optional = true, markers = "extra == \"jupyter\""}
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""}
 typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
@@ -1493,41 +1459,13 @@ unicode_backport = ["unicodedata2"]
 name = "click"
 version = "8.1.2"
 description = "Composable command line interface toolkit"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
-[[package]]
-name = "click-plugins"
-version = "1.1.1"
-description = "An extension module for click to enable registering CLI commands via setuptools entry-points."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-click = ">=4.0"
-
-[package.extras]
-dev = ["pytest (>=3.6)", "pytest-cov", "wheel", "coveralls"]
-
-[[package]]
-name = "cligj"
-version = "0.7.2"
-description = "Click params for commmand line interfaces to GeoJSON"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
-
-[package.dependencies]
-click = ">=4.0"
-
-[package.extras]
-test = ["pytest-cov"]
-
 [[package]]
 name = "colorama"
 version = "0.4.4"
@@ -2494,7 +2432,7 @@ python-versions = ">=3.6"
 name = "pyparsing"
 version = "3.0.8"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -2613,32 +2551,6 @@ packaging = "*"
 [package.extras]
 test = ["pytest (>=6.0.0)", "pytest-cov (>=3.0.0)", "pytest-qt"]
 
-[[package]]
-name = "rasterio"
-version = "1.2.10"
-description = "Fast and direct raster I/O for use with Numpy and SciPy"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-affine = "*"
-attrs = "*"
-certifi = "*"
-click = ">=4.0"
-click-plugins = "*"
-cligj = ">=0.5"
-numpy = "*"
-snuggs = ">=1.4.1"
-
-[package.extras]
-all = ["numpydoc", "hypothesis", "matplotlib", "pytest-cov (>=2.2.0)", "sphinx", "ipython (>=2.0)", "boto3 (>=1.2.4)", "shapely", "pytest (>=2.8.2)", "packaging", "sphinx-rtd-theme", "ghp-import"]
-docs = ["ghp-import", "numpydoc", "sphinx", "sphinx-rtd-theme"]
-ipython = ["ipython (>=2.0)"]
-plot = ["matplotlib"]
-s3 = ["boto3 (>=1.2.4)"]
-test = ["boto3 (>=1.2.4)", "hypothesis", "packaging", "pytest-cov (>=2.2.0)", "pytest (>=2.8.2)", "shapely"]
-
 [[package]]
 name = "requests"
 version = "2.27.1"
@@ -2744,21 +2656,6 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
-[[package]]
-name = "snuggs"
-version = "1.4.7"
-description = "Snuggs are s-expressions for Numpy"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-numpy = "*"
-pyparsing = ">=2.1.6"
-
-[package.extras]
-test = ["pytest", "hypothesis"]
-
 [[package]]
 name = "soupsieve"
 version = "2.3.2.post1"
@@ -2936,6 +2833,23 @@ category = "dev"
 optional = false
 python-versions = ">= 3.5"
 
+[[package]]
+name = "tqdm"
+version = "4.64.0"
+description = "Fast, Extensible Progress Meter"
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
 [[package]]
 name = "traitlets"
 version = "5.1.1"
diff --git a/pyproject.toml b/pyproject.toml
index 2b2efb2..512380f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,6 +15,7 @@ numpy = "^1.22.3"
 tensorflow = "^2.8.0"
 scipy = "^1.8.0"
 Shapely = "^1.8.2"
+tqdm = "^4.64.0"
 
 [tool.poetry.dev-dependencies]
 black = {extras = ["jupyter"], version = "^22.3.0"}
diff --git a/pyrate b/pyrate
index d148e65..2b78f0a 160000
--- a/pyrate
+++ b/pyrate
@@ -1 +1 @@
-Subproject commit d148e65134096d912b471c7c7f30710d613bb5c3
+Subproject commit 2b78f0a662808631bcddd82f6ac8c3057196c66d